Namespace(arch='densenet161', batch_size=160, data='/scratch/bzhou/places365_standard', epochs=90, evaluate=False, lr=0.1, momentum=0.9, num_classes=365, pretrained=True, print_freq=10, resume='densenet161_latest.pth.tar', start_epoch=0, weight_decay=0.0001, workers=4) => creating model 'densenet161' DataParallel ( (module): DenseNet ( (features): Sequential ( (conv0): Conv2d(3, 96, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False) (norm0): BatchNorm2d(96, eps=1e-05, momentum=0.1, affine=True) (relu0): ReLU (inplace) (pool0): MaxPool2d (size=(3, 3), stride=(2, 2), padding=(1, 1), dilation=(1, 1)) (denseblock1): _DenseBlock ( (denselayer1): _DenseLayer ( (norm.1): BatchNorm2d(96, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(96, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer2): _DenseLayer ( (norm.1): BatchNorm2d(144, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(144, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer3): _DenseLayer ( (norm.1): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer4): _DenseLayer ( (norm.1): BatchNorm2d(240, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(240, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer5): _DenseLayer ( (norm.1): BatchNorm2d(288, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(288, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer6): _DenseLayer ( (norm.1): BatchNorm2d(336, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(336, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) ) (transition1): _Transition ( (norm): BatchNorm2d(384, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (pool): AvgPool2d (size=2, stride=2, padding=0, ceil_mode=False, count_include_pad=True) ) (denseblock2): _DenseBlock ( (denselayer1): _DenseLayer ( (norm.1): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(192, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer2): _DenseLayer ( (norm.1): BatchNorm2d(240, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(240, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer3): _DenseLayer ( (norm.1): BatchNorm2d(288, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(288, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer4): _DenseLayer ( (norm.1): BatchNorm2d(336, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(336, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer5): _DenseLayer ( (norm.1): BatchNorm2d(384, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer6): _DenseLayer ( (norm.1): BatchNorm2d(432, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(432, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer7): _DenseLayer ( (norm.1): BatchNorm2d(480, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(480, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer8): _DenseLayer ( (norm.1): BatchNorm2d(528, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(528, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer9): _DenseLayer ( (norm.1): BatchNorm2d(576, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(576, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer10): _DenseLayer ( (norm.1): BatchNorm2d(624, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(624, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer11): _DenseLayer ( (norm.1): BatchNorm2d(672, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(672, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer12): _DenseLayer ( (norm.1): BatchNorm2d(720, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(720, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) ) (transition2): _Transition ( (norm): BatchNorm2d(768, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv): Conv2d(768, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (pool): AvgPool2d (size=2, stride=2, padding=0, ceil_mode=False, count_include_pad=True) ) (denseblock3): _DenseBlock ( (denselayer1): _DenseLayer ( (norm.1): BatchNorm2d(384, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(384, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer2): _DenseLayer ( (norm.1): BatchNorm2d(432, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(432, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer3): _DenseLayer ( (norm.1): BatchNorm2d(480, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(480, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer4): _DenseLayer ( (norm.1): BatchNorm2d(528, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(528, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer5): _DenseLayer ( (norm.1): BatchNorm2d(576, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(576, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer6): _DenseLayer ( (norm.1): BatchNorm2d(624, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(624, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer7): _DenseLayer ( (norm.1): BatchNorm2d(672, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(672, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer8): _DenseLayer ( (norm.1): BatchNorm2d(720, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(720, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer9): _DenseLayer ( (norm.1): BatchNorm2d(768, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(768, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer10): _DenseLayer ( (norm.1): BatchNorm2d(816, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(816, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer11): _DenseLayer ( (norm.1): BatchNorm2d(864, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(864, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer12): _DenseLayer ( (norm.1): BatchNorm2d(912, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(912, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer13): _DenseLayer ( (norm.1): BatchNorm2d(960, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(960, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer14): _DenseLayer ( (norm.1): BatchNorm2d(1008, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1008, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer15): _DenseLayer ( (norm.1): BatchNorm2d(1056, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1056, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer16): _DenseLayer ( (norm.1): BatchNorm2d(1104, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1104, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer17): _DenseLayer ( (norm.1): BatchNorm2d(1152, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1152, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer18): _DenseLayer ( (norm.1): BatchNorm2d(1200, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1200, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer19): _DenseLayer ( (norm.1): BatchNorm2d(1248, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1248, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer20): _DenseLayer ( (norm.1): BatchNorm2d(1296, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1296, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer21): _DenseLayer ( (norm.1): BatchNorm2d(1344, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1344, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer22): _DenseLayer ( (norm.1): BatchNorm2d(1392, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1392, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer23): _DenseLayer ( (norm.1): BatchNorm2d(1440, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1440, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer24): _DenseLayer ( (norm.1): BatchNorm2d(1488, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1488, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer25): _DenseLayer ( (norm.1): BatchNorm2d(1536, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1536, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer26): _DenseLayer ( (norm.1): BatchNorm2d(1584, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1584, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer27): _DenseLayer ( (norm.1): BatchNorm2d(1632, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1632, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer28): _DenseLayer ( (norm.1): BatchNorm2d(1680, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1680, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer29): _DenseLayer ( (norm.1): BatchNorm2d(1728, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1728, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer30): _DenseLayer ( (norm.1): BatchNorm2d(1776, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1776, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer31): _DenseLayer ( (norm.1): BatchNorm2d(1824, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1824, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer32): _DenseLayer ( (norm.1): BatchNorm2d(1872, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1872, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer33): _DenseLayer ( (norm.1): BatchNorm2d(1920, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1920, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer34): _DenseLayer ( (norm.1): BatchNorm2d(1968, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1968, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer35): _DenseLayer ( (norm.1): BatchNorm2d(2016, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2016, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer36): _DenseLayer ( (norm.1): BatchNorm2d(2064, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2064, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) ) (transition3): _Transition ( (norm): BatchNorm2d(2112, eps=1e-05, momentum=0.1, affine=True) (relu): ReLU (inplace) (conv): Conv2d(2112, 1056, kernel_size=(1, 1), stride=(1, 1), bias=False) (pool): AvgPool2d (size=2, stride=2, padding=0, ceil_mode=False, count_include_pad=True) ) (denseblock4): _DenseBlock ( (denselayer1): _DenseLayer ( (norm.1): BatchNorm2d(1056, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1056, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer2): _DenseLayer ( (norm.1): BatchNorm2d(1104, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1104, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer3): _DenseLayer ( (norm.1): BatchNorm2d(1152, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1152, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer4): _DenseLayer ( (norm.1): BatchNorm2d(1200, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1200, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer5): _DenseLayer ( (norm.1): BatchNorm2d(1248, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1248, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer6): _DenseLayer ( (norm.1): BatchNorm2d(1296, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1296, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer7): _DenseLayer ( (norm.1): BatchNorm2d(1344, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1344, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer8): _DenseLayer ( (norm.1): BatchNorm2d(1392, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1392, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer9): _DenseLayer ( (norm.1): BatchNorm2d(1440, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1440, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer10): _DenseLayer ( (norm.1): BatchNorm2d(1488, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1488, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer11): _DenseLayer ( (norm.1): BatchNorm2d(1536, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1536, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer12): _DenseLayer ( (norm.1): BatchNorm2d(1584, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1584, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer13): _DenseLayer ( (norm.1): BatchNorm2d(1632, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1632, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer14): _DenseLayer ( (norm.1): BatchNorm2d(1680, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1680, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer15): _DenseLayer ( (norm.1): BatchNorm2d(1728, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1728, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer16): _DenseLayer ( (norm.1): BatchNorm2d(1776, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1776, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer17): _DenseLayer ( (norm.1): BatchNorm2d(1824, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1824, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer18): _DenseLayer ( (norm.1): BatchNorm2d(1872, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1872, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer19): _DenseLayer ( (norm.1): BatchNorm2d(1920, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1920, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer20): _DenseLayer ( (norm.1): BatchNorm2d(1968, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(1968, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer21): _DenseLayer ( (norm.1): BatchNorm2d(2016, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2016, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer22): _DenseLayer ( (norm.1): BatchNorm2d(2064, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2064, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer23): _DenseLayer ( (norm.1): BatchNorm2d(2112, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2112, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) (denselayer24): _DenseLayer ( (norm.1): BatchNorm2d(2160, eps=1e-05, momentum=0.1, affine=True) (relu.1): ReLU (inplace) (conv.1): Conv2d(2160, 192, kernel_size=(1, 1), stride=(1, 1), bias=False) (norm.2): BatchNorm2d(192, eps=1e-05, momentum=0.1, affine=True) (relu.2): ReLU (inplace) (conv.2): Conv2d(192, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) ) ) (norm5): BatchNorm2d(2208, eps=1e-05, momentum=0.1, affine=True) ) (classifier): Linear (2208 -> 365) ) ) => loading checkpoint 'densenet161_latest.pth.tar' => loaded checkpoint 'densenet161_latest.pth.tar' (epoch 14) Epoch: [14][0/11272] Time 45.357 (45.357) Data 5.167 (5.167) Loss 2.6894 (2.6894) Prec@1 36.250 (36.250) Prec@5 63.750 (63.750) Epoch: [14][10/11272] Time 0.742 (4.993) Data 0.002 (0.471) Loss 2.8083 (2.6024) Prec@1 36.875 (37.727) Prec@5 61.875 (67.557) Epoch: [14][20/11272] Time 0.785 (3.011) Data 0.002 (0.248) Loss 2.7311 (2.5774) Prec@1 32.500 (37.500) Prec@5 61.250 (68.036) Epoch: [14][30/11272] Time 0.870 (2.310) Data 0.002 (0.168) Loss 2.4983 (2.5587) Prec@1 38.750 (37.923) Prec@5 71.250 (68.266) Epoch: [14][40/11272] Time 0.822 (1.946) Data 0.001 (0.128) Loss 2.8707 (2.5754) Prec@1 31.250 (37.393) Prec@5 63.750 (68.110) Epoch: [14][50/11272] Time 0.748 (1.743) Data 0.002 (0.119) Loss 2.3869 (2.5624) Prec@1 42.500 (37.561) Prec@5 73.750 (68.309) Epoch: [14][60/11272] Time 0.900 (1.606) Data 0.001 (0.109) Loss 2.6384 (2.5782) Prec@1 29.375 (37.295) Prec@5 70.000 (67.818) Epoch: [14][70/11272] Time 0.883 (1.524) Data 0.001 (0.121) Loss 2.6745 (2.5794) Prec@1 38.125 (37.306) Prec@5 64.375 (67.870) Epoch: [14][80/11272] Time 0.755 (1.440) Data 0.001 (0.109) Loss 2.7524 (2.5724) Prec@1 31.250 (37.446) Prec@5 60.000 (67.924) Epoch: [14][90/11272] Time 0.744 (1.400) Data 0.001 (0.122) Loss 2.5212 (2.5703) Prec@1 45.000 (37.665) Prec@5 69.375 (68.098) Epoch: [14][100/11272] Time 0.947 (1.346) Data 0.022 (0.112) Loss 2.7793 (2.5760) Prec@1 30.000 (37.562) Prec@5 66.250 (67.933) Epoch: [14][110/11272] Time 0.842 (1.314) Data 0.002 (0.116) Loss 2.3657 (2.5796) Prec@1 42.500 (37.331) Prec@5 72.500 (67.990) Epoch: [14][120/11272] Time 0.762 (1.290) Data 0.002 (0.124) Loss 2.6800 (2.5737) Prec@1 35.000 (37.454) Prec@5 67.500 (68.084) Epoch: [14][130/11272] Time 0.778 (1.258) Data 0.002 (0.117) Loss 2.4882 (2.5737) Prec@1 35.000 (37.476) Prec@5 68.750 (68.139) Epoch: [14][140/11272] Time 0.931 (1.240) Data 0.001 (0.119) Loss 2.4957 (2.5722) Prec@1 44.375 (37.544) Prec@5 64.375 (68.054) Epoch: [14][150/11272] Time 0.868 (1.218) Data 0.002 (0.116) Loss 2.5643 (2.5748) Prec@1 37.500 (37.467) Prec@5 67.500 (67.926) Epoch: [14][160/11272] Time 0.731 (1.202) Data 0.002 (0.116) Loss 2.3787 (2.5702) Prec@1 36.875 (37.465) Prec@5 70.000 (68.102) Epoch: [14][170/11272] Time 0.733 (1.184) Data 0.002 (0.114) Loss 2.6625 (2.5727) Prec@1 36.250 (37.431) Prec@5 65.625 (68.063) Epoch: [14][180/11272] Time 0.870 (1.173) Data 0.003 (0.116) Loss 2.7165 (2.5744) Prec@1 31.875 (37.414) Prec@5 65.000 (68.021) Epoch: [14][190/11272] Time 0.741 (1.166) Data 0.003 (0.122) Loss 2.3665 (2.5735) Prec@1 36.250 (37.353) Prec@5 71.250 (68.030) Epoch: [14][200/11272] Time 0.739 (1.157) Data 0.001 (0.124) Loss 2.8417 (2.5741) Prec@1 34.375 (37.304) Prec@5 60.000 (67.960) Epoch: [14][210/11272] Time 0.909 (1.145) Data 0.001 (0.121) Loss 2.8152 (2.5769) Prec@1 33.750 (37.230) Prec@5 60.625 (67.909) Epoch: [14][220/11272] Time 0.900 (1.140) Data 0.001 (0.126) Loss 2.5878 (2.5753) Prec@1 33.750 (37.223) Prec@5 72.500 (68.026) Epoch: [14][230/11272] Time 0.740 (1.130) Data 0.001 (0.123) Loss 2.6378 (2.5771) Prec@1 37.500 (37.197) Prec@5 67.500 (67.995) Epoch: [14][240/11272] Time 0.790 (1.122) Data 0.002 (0.123) Loss 2.3431 (2.5740) Prec@1 44.375 (37.251) Prec@5 73.125 (68.039) Epoch: [14][250/11272] Time 0.913 (1.115) Data 0.001 (0.122) Loss 2.3347 (2.5790) Prec@1 43.750 (37.169) Prec@5 73.750 (67.913) Epoch: [14][260/11272] Time 0.950 (1.110) Data 0.002 (0.122) Loss 2.8242 (2.5781) Prec@1 35.000 (37.184) Prec@5 59.375 (67.955) Epoch: [14][270/11272] Time 0.732 (1.101) Data 0.002 (0.120) Loss 2.4150 (2.5781) Prec@1 36.875 (37.177) Prec@5 76.875 (67.954) Epoch: [14][280/11272] Time 1.134 (1.097) Data 0.360 (0.122) Loss 2.9436 (2.5826) Prec@1 28.125 (37.104) Prec@5 61.875 (67.849) Epoch: [14][290/11272] Time 0.909 (1.092) Data 0.001 (0.121) Loss 2.7174 (2.5822) Prec@1 35.000 (37.092) Prec@5 64.375 (67.846) Epoch: [14][300/11272] Time 0.924 (1.087) Data 0.002 (0.121) Loss 2.8161 (2.5831) Prec@1 31.875 (37.041) Prec@5 66.250 (67.849) Epoch: [14][310/11272] Time 0.727 (1.082) Data 0.001 (0.120) Loss 2.8647 (2.5856) Prec@1 34.375 (37.044) Prec@5 60.000 (67.775) Epoch: [14][320/11272] Time 1.486 (1.081) Data 0.547 (0.122) Loss 2.2607 (2.5856) Prec@1 44.375 (37.013) Prec@5 70.000 (67.769) Epoch: [14][330/11272] Time 0.876 (1.075) Data 0.002 (0.120) Loss 2.6567 (2.5863) Prec@1 37.500 (37.032) Prec@5 66.250 (67.759) Epoch: [14][340/11272] Time 0.827 (1.073) Data 0.001 (0.121) Loss 2.5267 (2.5900) Prec@1 40.625 (36.992) Prec@5 66.250 (67.680) Epoch: [14][350/11272] Time 0.924 (1.070) Data 0.129 (0.121) Loss 2.6137 (2.5920) Prec@1 38.125 (36.960) Prec@5 71.250 (67.662) Epoch: [14][360/11272] Time 0.890 (1.068) Data 0.001 (0.122) Loss 2.6849 (2.5939) Prec@1 35.625 (36.937) Prec@5 64.375 (67.640) Epoch: [14][370/11272] Time 1.405 (1.064) Data 0.525 (0.121) Loss 2.6536 (2.5942) Prec@1 31.875 (36.899) Prec@5 66.875 (67.623) Epoch: [14][380/11272] Time 1.457 (1.061) Data 0.697 (0.122) Loss 2.5994 (2.5943) Prec@1 36.250 (36.893) Prec@5 66.250 (67.607) Epoch: [14][390/11272] Time 0.904 (1.057) Data 0.103 (0.120) Loss 2.6193 (2.5955) Prec@1 38.750 (36.853) Prec@5 64.375 (67.590) Epoch: [14][400/11272] Time 0.924 (1.055) Data 0.002 (0.121) Loss 2.7498 (2.5971) Prec@1 33.125 (36.839) Prec@5 66.875 (67.569) Epoch: [14][410/11272] Time 1.094 (1.053) Data 0.151 (0.121) Loss 2.3976 (2.5975) Prec@1 34.375 (36.835) Prec@5 70.000 (67.544) Epoch: [14][420/11272] Time 0.774 (1.050) Data 0.002 (0.120) Loss 2.6230 (2.5973) Prec@1 40.625 (36.865) Prec@5 68.750 (67.556) Epoch: [14][430/11272] Time 1.441 (1.050) Data 0.611 (0.121) Loss 2.5168 (2.5979) Prec@1 40.000 (36.875) Prec@5 68.125 (67.533) Epoch: [14][440/11272] Time 0.912 (1.046) Data 0.002 (0.119) Loss 2.7092 (2.5983) Prec@1 36.250 (36.895) Prec@5 65.625 (67.537) Epoch: [14][450/11272] Time 0.879 (1.044) Data 0.002 (0.119) Loss 2.5587 (2.5978) Prec@1 42.500 (36.914) Prec@5 65.625 (67.542) Epoch: [14][460/11272] Time 0.760 (1.043) Data 0.001 (0.119) Loss 2.9569 (2.5998) Prec@1 29.375 (36.851) Prec@5 60.625 (67.501) Epoch: [14][470/11272] Time 1.496 (1.041) Data 0.585 (0.119) Loss 2.6709 (2.5983) Prec@1 34.375 (36.886) Prec@5 67.500 (67.523) Epoch: [14][480/11272] Time 0.915 (1.040) Data 0.001 (0.121) Loss 2.7125 (2.5986) Prec@1 31.250 (36.857) Prec@5 65.625 (67.526) Epoch: [14][490/11272] Time 0.748 (1.036) Data 0.002 (0.119) Loss 2.7514 (2.5981) Prec@1 34.375 (36.855) Prec@5 64.375 (67.566) Epoch: [14][500/11272] Time 0.785 (1.036) Data 0.001 (0.120) Loss 2.3978 (2.5976) Prec@1 38.750 (36.843) Prec@5 72.500 (67.576) Epoch: [14][510/11272] Time 0.857 (1.035) Data 0.002 (0.121) Loss 2.8239 (2.5987) Prec@1 36.250 (36.826) Prec@5 61.875 (67.537) Epoch: [14][520/11272] Time 0.923 (1.033) Data 0.002 (0.120) Loss 2.5193 (2.5980) Prec@1 36.875 (36.874) Prec@5 66.875 (67.571) Epoch: [14][530/11272] Time 0.787 (1.031) Data 0.030 (0.120) Loss 2.5802 (2.5979) Prec@1 39.375 (36.877) Prec@5 68.750 (67.589) Epoch: [14][540/11272] Time 0.928 (1.030) Data 0.146 (0.120) Loss 2.6171 (2.5985) Prec@1 36.875 (36.888) Prec@5 64.375 (67.570) Epoch: [14][550/11272] Time 1.128 (1.029) Data 0.217 (0.120) Loss 2.6263 (2.5991) Prec@1 35.625 (36.882) Prec@5 65.000 (67.549) Epoch: [14][560/11272] Time 0.902 (1.028) Data 0.001 (0.121) Loss 2.7302 (2.5999) Prec@1 31.250 (36.872) Prec@5 66.250 (67.536) Epoch: [14][570/11272] Time 1.034 (1.027) Data 0.250 (0.121) Loss 2.6720 (2.5999) Prec@1 34.375 (36.879) Prec@5 61.250 (67.533) Epoch: [14][580/11272] Time 0.750 (1.026) Data 0.002 (0.121) Loss 2.4276 (2.5996) Prec@1 41.875 (36.893) Prec@5 73.125 (67.539) Epoch: [14][590/11272] Time 0.886 (1.025) Data 0.002 (0.122) Loss 2.7384 (2.5996) Prec@1 31.875 (36.897) Prec@5 65.000 (67.540) Epoch: [14][600/11272] Time 0.713 (1.024) Data 0.001 (0.121) Loss 2.6903 (2.5995) Prec@1 33.750 (36.895) Prec@5 65.625 (67.556) Epoch: [14][610/11272] Time 0.752 (1.025) Data 0.001 (0.123) Loss 2.7277 (2.6010) Prec@1 39.375 (36.867) Prec@5 65.000 (67.530) Epoch: [14][620/11272] Time 0.897 (1.024) Data 0.002 (0.123) Loss 2.4824 (2.6013) Prec@1 36.875 (36.868) Prec@5 66.875 (67.514) Epoch: [14][630/11272] Time 0.907 (1.022) Data 0.001 (0.123) Loss 2.5902 (2.6018) Prec@1 37.500 (36.860) Prec@5 66.875 (67.495) Epoch: [14][640/11272] Time 0.772 (1.020) Data 0.001 (0.122) Loss 2.5075 (2.6021) Prec@1 39.375 (36.855) Prec@5 70.000 (67.508) Epoch: [14][650/11272] Time 0.757 (1.021) Data 0.001 (0.124) Loss 2.5171 (2.6019) Prec@1 33.125 (36.845) Prec@5 69.375 (67.525) Epoch: [14][660/11272] Time 0.949 (1.019) Data 0.002 (0.122) Loss 2.5559 (2.6017) Prec@1 35.000 (36.841) Prec@5 63.750 (67.525) Epoch: [14][670/11272] Time 0.887 (1.018) Data 0.002 (0.122) Loss 2.3033 (2.6003) Prec@1 40.000 (36.861) Prec@5 74.375 (67.534) Epoch: [14][680/11272] Time 0.730 (1.018) Data 0.001 (0.123) Loss 2.8748 (2.6005) Prec@1 31.875 (36.857) Prec@5 63.750 (67.531) Epoch: [14][690/11272] Time 0.806 (1.016) Data 0.040 (0.123) Loss 2.5877 (2.6006) Prec@1 36.875 (36.849) Prec@5 68.750 (67.517) Epoch: [14][700/11272] Time 0.882 (1.016) Data 0.001 (0.123) Loss 2.5499 (2.6010) Prec@1 36.875 (36.824) Prec@5 70.000 (67.517) Epoch: [14][710/11272] Time 1.549 (1.016) Data 0.645 (0.124) Loss 2.5196 (2.6008) Prec@1 39.375 (36.834) Prec@5 68.125 (67.533) Epoch: [14][720/11272] Time 0.763 (1.014) Data 0.001 (0.123) Loss 2.5566 (2.6005) Prec@1 38.750 (36.851) Prec@5 65.625 (67.529) Epoch: [14][730/11272] Time 0.954 (1.014) Data 0.001 (0.123) Loss 2.4066 (2.6011) Prec@1 42.500 (36.843) Prec@5 75.625 (67.517) Epoch: [14][740/11272] Time 0.862 (1.013) Data 0.002 (0.123) Loss 2.6611 (2.6010) Prec@1 33.750 (36.848) Prec@5 63.125 (67.514) Epoch: [14][750/11272] Time 0.731 (1.012) Data 0.001 (0.124) Loss 2.4898 (2.6010) Prec@1 37.500 (36.841) Prec@5 71.250 (67.518) Epoch: [14][760/11272] Time 0.798 (1.017) Data 0.002 (0.129) Loss 2.4851 (2.6007) Prec@1 41.875 (36.863) Prec@5 68.125 (67.512) Epoch: [14][770/11272] Time 0.877 (1.018) Data 0.002 (0.130) Loss 2.5379 (2.5998) Prec@1 41.250 (36.872) Prec@5 66.875 (67.537) Epoch: [14][780/11272] Time 1.146 (1.024) Data 0.251 (0.138) Loss 2.4264 (2.5990) Prec@1 41.875 (36.916) Prec@5 69.375 (67.555) Epoch: [14][790/11272] Time 0.733 (1.030) Data 0.002 (0.144) Loss 2.6498 (2.5988) Prec@1 32.500 (36.917) Prec@5 61.875 (67.556) Epoch: [14][800/11272] Time 0.749 (1.037) Data 0.003 (0.152) Loss 2.4156 (2.5990) Prec@1 45.000 (36.928) Prec@5 68.125 (67.558) Epoch: [14][810/11272] Time 1.176 (1.042) Data 0.280 (0.157) Loss 2.4257 (2.5996) Prec@1 36.250 (36.921) Prec@5 69.375 (67.552) Epoch: [14][820/11272] Time 0.867 (1.049) Data 0.001 (0.165) Loss 2.8438 (2.5998) Prec@1 35.625 (36.922) Prec@5 63.125 (67.546) Epoch: [14][830/11272] Time 0.753 (1.053) Data 0.002 (0.169) Loss 2.4689 (2.5995) Prec@1 40.625 (36.921) Prec@5 71.250 (67.541) Epoch: [14][840/11272] Time 0.779 (1.060) Data 0.002 (0.177) Loss 2.7132 (2.5992) Prec@1 33.125 (36.914) Prec@5 65.000 (67.540) Epoch: [14][850/11272] Time 1.627 (1.065) Data 0.720 (0.183) Loss 2.5526 (2.5984) Prec@1 37.500 (36.929) Prec@5 71.875 (67.571) Epoch: [14][860/11272] Time 0.760 (1.071) Data 0.003 (0.190) Loss 2.6516 (2.5979) Prec@1 38.750 (36.942) Prec@5 68.750 (67.580) Epoch: [14][870/11272] Time 2.494 (1.074) Data 1.737 (0.193) Loss 2.7799 (2.5979) Prec@1 31.875 (36.952) Prec@5 65.000 (67.581) Epoch: [14][880/11272] Time 0.882 (1.079) Data 0.002 (0.199) Loss 2.4348 (2.5976) Prec@1 38.125 (36.953) Prec@5 70.000 (67.582) Epoch: [14][890/11272] Time 2.793 (1.083) Data 1.887 (0.203) Loss 2.6525 (2.5978) Prec@1 36.250 (36.945) Prec@5 68.125 (67.576) Epoch: [14][900/11272] Time 0.759 (1.090) Data 0.001 (0.210) Loss 2.5474 (2.5970) Prec@1 35.625 (36.950) Prec@5 67.500 (67.584) Epoch: [14][910/11272] Time 0.753 (1.093) Data 0.001 (0.214) Loss 2.7188 (2.5971) Prec@1 35.625 (36.935) Prec@5 61.875 (67.571) Epoch: [14][920/11272] Time 0.870 (1.099) Data 0.002 (0.220) Loss 2.7036 (2.5972) Prec@1 33.750 (36.927) Prec@5 61.875 (67.572) Epoch: [14][930/11272] Time 1.793 (1.103) Data 0.908 (0.225) Loss 2.5897 (2.5980) Prec@1 37.500 (36.905) Prec@5 68.125 (67.560) Epoch: [14][940/11272] Time 0.806 (1.107) Data 0.001 (0.229) Loss 2.5217 (2.5972) Prec@1 40.000 (36.918) Prec@5 67.500 (67.580) Epoch: [14][950/11272] Time 0.767 (1.110) Data 0.001 (0.233) Loss 2.5972 (2.5974) Prec@1 35.625 (36.908) Prec@5 66.250 (67.576) Epoch: [14][960/11272] Time 0.884 (1.115) Data 0.002 (0.238) Loss 2.6306 (2.5972) Prec@1 35.000 (36.909) Prec@5 65.625 (67.579) Epoch: [14][970/11272] Time 0.893 (1.118) Data 0.001 (0.241) Loss 2.3742 (2.5976) Prec@1 42.500 (36.910) Prec@5 71.875 (67.568) Epoch: [14][980/11272] Time 0.737 (1.123) Data 0.002 (0.247) Loss 2.7193 (2.5971) Prec@1 37.500 (36.909) Prec@5 65.000 (67.590) Epoch: [14][990/11272] Time 0.908 (1.126) Data 0.002 (0.250) Loss 2.5444 (2.5967) Prec@1 36.875 (36.915) Prec@5 65.000 (67.590) Epoch: [14][1000/11272] Time 0.877 (1.131) Data 0.002 (0.256) Loss 2.6365 (2.5969) Prec@1 35.000 (36.908) Prec@5 70.000 (67.592) Epoch: [14][1010/11272] Time 0.731 (1.133) Data 0.001 (0.258) Loss 2.6450 (2.5960) Prec@1 36.875 (36.939) Prec@5 68.750 (67.603) Epoch: [14][1020/11272] Time 0.766 (1.139) Data 0.002 (0.264) Loss 2.7031 (2.5954) Prec@1 36.250 (36.956) Prec@5 69.375 (67.629) Epoch: [14][1030/11272] Time 2.350 (1.142) Data 1.439 (0.268) Loss 2.7007 (2.5956) Prec@1 35.625 (36.956) Prec@5 65.625 (67.623) Epoch: [14][1040/11272] Time 0.929 (1.146) Data 0.002 (0.272) Loss 2.1824 (2.5951) Prec@1 46.875 (36.975) Prec@5 73.750 (67.627) Epoch: [14][1050/11272] Time 0.731 (1.150) Data 0.001 (0.277) Loss 2.4954 (2.5945) Prec@1 36.250 (36.986) Prec@5 67.500 (67.639) Epoch: [14][1060/11272] Time 0.735 (1.153) Data 0.001 (0.280) Loss 2.9213 (2.5952) Prec@1 26.875 (36.966) Prec@5 63.125 (67.623) Epoch: [14][1070/11272] Time 0.841 (1.155) Data 0.002 (0.283) Loss 2.6078 (2.5952) Prec@1 36.875 (36.960) Prec@5 66.875 (67.617) Epoch: [14][1080/11272] Time 0.871 (1.160) Data 0.001 (0.288) Loss 2.5873 (2.5951) Prec@1 35.000 (36.963) Prec@5 72.500 (67.625) Epoch: [14][1090/11272] Time 1.424 (1.164) Data 0.657 (0.292) Loss 2.6798 (2.5955) Prec@1 35.625 (36.973) Prec@5 67.500 (67.624) Epoch: [14][1100/11272] Time 0.743 (1.167) Data 0.001 (0.296) Loss 2.7054 (2.5956) Prec@1 31.875 (36.978) Prec@5 65.000 (67.623) Epoch: [14][1110/11272] Time 1.134 (1.170) Data 0.287 (0.299) Loss 2.4564 (2.5950) Prec@1 35.625 (36.995) Prec@5 71.250 (67.630) Epoch: [14][1120/11272] Time 1.475 (1.172) Data 0.737 (0.302) Loss 2.6314 (2.5955) Prec@1 41.875 (37.001) Prec@5 63.750 (67.612) Epoch: [14][1130/11272] Time 1.226 (1.175) Data 0.473 (0.306) Loss 2.5363 (2.5952) Prec@1 37.500 (37.002) Prec@5 68.125 (67.627) Epoch: [14][1140/11272] Time 1.839 (1.177) Data 0.946 (0.308) Loss 2.5767 (2.5951) Prec@1 33.750 (37.003) Prec@5 66.250 (67.627) Epoch: [14][1150/11272] Time 1.945 (1.181) Data 1.050 (0.312) Loss 2.6277 (2.5949) Prec@1 30.625 (37.005) Prec@5 66.250 (67.631) Epoch: [14][1160/11272] Time 0.770 (1.183) Data 0.002 (0.315) Loss 2.6297 (2.5952) Prec@1 36.250 (37.016) Prec@5 66.875 (67.626) Epoch: [14][1170/11272] Time 1.042 (1.186) Data 0.250 (0.318) Loss 2.6664 (2.5941) Prec@1 38.750 (37.037) Prec@5 66.250 (67.643) Epoch: [14][1180/11272] Time 0.888 (1.189) Data 0.002 (0.321) Loss 2.6066 (2.5939) Prec@1 33.125 (37.036) Prec@5 61.875 (67.640) Epoch: [14][1190/11272] Time 1.158 (1.193) Data 0.206 (0.326) Loss 2.5784 (2.5940) Prec@1 36.875 (37.030) Prec@5 67.500 (67.637) Epoch: [14][1200/11272] Time 0.738 (1.193) Data 0.002 (0.326) Loss 2.3089 (2.5939) Prec@1 39.375 (37.023) Prec@5 75.625 (67.643) Epoch: [14][1210/11272] Time 0.771 (1.196) Data 0.002 (0.330) Loss 2.6027 (2.5940) Prec@1 38.125 (37.010) Prec@5 71.250 (67.647) Epoch: [14][1220/11272] Time 0.895 (1.199) Data 0.001 (0.333) Loss 2.8160 (2.5942) Prec@1 35.000 (37.011) Prec@5 66.875 (67.649) Epoch: [14][1230/11272] Time 0.836 (1.200) Data 0.001 (0.334) Loss 2.8507 (2.5948) Prec@1 34.375 (36.997) Prec@5 68.125 (67.629) Epoch: [14][1240/11272] Time 1.855 (1.203) Data 1.097 (0.337) Loss 2.6722 (2.5946) Prec@1 33.750 (36.993) Prec@5 65.000 (67.627) Epoch: [14][1250/11272] Time 0.899 (1.205) Data 0.002 (0.340) Loss 2.3236 (2.5945) Prec@1 47.500 (36.993) Prec@5 73.750 (67.643) Epoch: [14][1260/11272] Time 3.196 (1.208) Data 2.274 (0.344) Loss 2.8184 (2.5941) Prec@1 32.500 (37.000) Prec@5 63.750 (67.646) Epoch: [14][1270/11272] Time 0.731 (1.209) Data 0.002 (0.345) Loss 2.8374 (2.5944) Prec@1 33.750 (37.002) Prec@5 67.500 (67.646) Epoch: [14][1280/11272] Time 2.208 (1.212) Data 1.403 (0.348) Loss 2.6840 (2.5945) Prec@1 31.875 (36.992) Prec@5 65.000 (67.651) Epoch: [14][1290/11272] Time 0.912 (1.215) Data 0.002 (0.351) Loss 2.6855 (2.5949) Prec@1 36.250 (36.984) Prec@5 64.375 (67.644) Epoch: [14][1300/11272] Time 3.519 (1.217) Data 2.569 (0.353) Loss 2.6739 (2.5956) Prec@1 35.625 (36.975) Prec@5 66.250 (67.636) Epoch: [14][1310/11272] Time 0.760 (1.217) Data 0.002 (0.354) Loss 2.7522 (2.5956) Prec@1 31.250 (36.967) Prec@5 66.875 (67.643) Epoch: [14][1320/11272] Time 0.742 (1.219) Data 0.001 (0.356) Loss 3.0143 (2.5962) Prec@1 28.125 (36.952) Prec@5 63.125 (67.630) Epoch: [14][1330/11272] Time 1.298 (1.222) Data 0.351 (0.360) Loss 2.3379 (2.5961) Prec@1 40.625 (36.956) Prec@5 69.375 (67.624) Epoch: [14][1340/11272] Time 0.861 (1.223) Data 0.002 (0.361) Loss 2.3380 (2.5957) Prec@1 35.000 (36.960) Prec@5 74.375 (67.628) Epoch: [14][1350/11272] Time 0.786 (1.225) Data 0.064 (0.363) Loss 2.7635 (2.5961) Prec@1 36.875 (36.955) Prec@5 65.000 (67.618) Epoch: [14][1360/11272] Time 0.732 (1.227) Data 0.002 (0.365) Loss 2.4027 (2.5962) Prec@1 40.000 (36.958) Prec@5 66.875 (67.614) Epoch: [14][1370/11272] Time 2.177 (1.229) Data 1.302 (0.367) Loss 2.4907 (2.5966) Prec@1 35.625 (36.948) Prec@5 70.625 (67.612) Epoch: [14][1380/11272] Time 1.437 (1.230) Data 0.550 (0.369) Loss 2.3690 (2.5968) Prec@1 40.625 (36.952) Prec@5 74.375 (67.610) Epoch: [14][1390/11272] Time 2.478 (1.232) Data 1.709 (0.371) Loss 2.6916 (2.5969) Prec@1 35.000 (36.945) Prec@5 64.375 (67.611) Epoch: [14][1400/11272] Time 0.911 (1.233) Data 0.002 (0.372) Loss 2.3781 (2.5972) Prec@1 39.375 (36.949) Prec@5 71.250 (67.603) Epoch: [14][1410/11272] Time 4.018 (1.236) Data 3.090 (0.375) Loss 2.6061 (2.5975) Prec@1 33.750 (36.942) Prec@5 67.500 (67.597) Epoch: [14][1420/11272] Time 0.741 (1.236) Data 0.002 (0.376) Loss 2.6340 (2.5974) Prec@1 38.125 (36.943) Prec@5 69.375 (67.596) Epoch: [14][1430/11272] Time 2.904 (1.239) Data 2.107 (0.379) Loss 2.3116 (2.5970) Prec@1 38.750 (36.952) Prec@5 73.125 (67.603) Epoch: [14][1440/11272] Time 0.867 (1.241) Data 0.001 (0.381) Loss 2.6748 (2.5973) Prec@1 33.125 (36.940) Prec@5 70.625 (67.598) Epoch: [14][1450/11272] Time 2.819 (1.242) Data 1.895 (0.382) Loss 2.6540 (2.5971) Prec@1 39.375 (36.945) Prec@5 62.500 (67.597) Epoch: [14][1460/11272] Time 1.254 (1.243) Data 0.452 (0.384) Loss 2.6848 (2.5976) Prec@1 37.500 (36.943) Prec@5 65.000 (67.590) Epoch: [14][1470/11272] Time 2.097 (1.244) Data 1.317 (0.385) Loss 2.6275 (2.5977) Prec@1 33.750 (36.934) Prec@5 70.000 (67.589) Epoch: [14][1480/11272] Time 1.405 (1.246) Data 0.456 (0.387) Loss 2.3850 (2.5977) Prec@1 45.000 (36.940) Prec@5 70.625 (67.591) Epoch: [14][1490/11272] Time 0.844 (1.247) Data 0.002 (0.389) Loss 2.7459 (2.5987) Prec@1 35.625 (36.927) Prec@5 62.500 (67.577) Epoch: [14][1500/11272] Time 0.741 (1.249) Data 0.001 (0.391) Loss 2.6486 (2.5986) Prec@1 36.250 (36.933) Prec@5 64.375 (67.572) Epoch: [14][1510/11272] Time 0.762 (1.250) Data 0.002 (0.391) Loss 2.5263 (2.5990) Prec@1 41.875 (36.932) Prec@5 68.125 (67.555) Epoch: [14][1520/11272] Time 0.822 (1.251) Data 0.001 (0.393) Loss 2.6598 (2.5995) Prec@1 31.875 (36.918) Prec@5 67.500 (67.551) Epoch: [14][1530/11272] Time 1.108 (1.252) Data 0.376 (0.395) Loss 2.4707 (2.5996) Prec@1 35.625 (36.917) Prec@5 71.875 (67.547) Epoch: [14][1540/11272] Time 1.691 (1.254) Data 0.967 (0.397) Loss 2.5674 (2.5998) Prec@1 35.625 (36.904) Prec@5 63.750 (67.540) Epoch: [14][1550/11272] Time 2.730 (1.256) Data 1.789 (0.399) Loss 2.6171 (2.5999) Prec@1 36.875 (36.899) Prec@5 65.625 (67.545) Epoch: [14][1560/11272] Time 2.759 (1.258) Data 1.890 (0.401) Loss 2.7590 (2.6000) Prec@1 35.625 (36.902) Prec@5 65.000 (67.542) Epoch: [14][1570/11272] Time 0.994 (1.259) Data 0.198 (0.402) Loss 2.3670 (2.5999) Prec@1 40.000 (36.900) Prec@5 72.500 (67.541) Epoch: [14][1580/11272] Time 1.480 (1.260) Data 0.726 (0.403) Loss 2.8884 (2.6001) Prec@1 28.125 (36.898) Prec@5 63.750 (67.541) Epoch: [14][1590/11272] Time 3.840 (1.262) Data 2.951 (0.406) Loss 2.8041 (2.6004) Prec@1 30.625 (36.888) Prec@5 61.250 (67.532) Epoch: [14][1600/11272] Time 0.891 (1.262) Data 0.001 (0.406) Loss 2.8527 (2.6002) Prec@1 27.500 (36.882) Prec@5 63.750 (67.533) Epoch: [14][1610/11272] Time 3.024 (1.264) Data 2.228 (0.408) Loss 2.6424 (2.6001) Prec@1 32.500 (36.884) Prec@5 64.375 (67.529) Epoch: [14][1620/11272] Time 0.750 (1.264) Data 0.001 (0.408) Loss 2.5262 (2.5999) Prec@1 34.375 (36.878) Prec@5 68.750 (67.528) Epoch: [14][1630/11272] Time 0.922 (1.267) Data 0.002 (0.411) Loss 2.8039 (2.6005) Prec@1 36.875 (36.872) Prec@5 61.875 (67.521) Epoch: [14][1640/11272] Time 0.848 (1.267) Data 0.002 (0.411) Loss 2.6100 (2.6005) Prec@1 34.375 (36.870) Prec@5 66.250 (67.523) Epoch: [14][1650/11272] Time 0.756 (1.269) Data 0.001 (0.414) Loss 2.3874 (2.6001) Prec@1 40.000 (36.883) Prec@5 73.125 (67.537) Epoch: [14][1660/11272] Time 0.892 (1.269) Data 0.002 (0.414) Loss 2.7045 (2.6004) Prec@1 37.500 (36.880) Prec@5 66.875 (67.531) Epoch: [14][1670/11272] Time 0.987 (1.270) Data 0.124 (0.415) Loss 2.4496 (2.6003) Prec@1 40.000 (36.876) Prec@5 72.500 (67.541) Epoch: [14][1680/11272] Time 2.250 (1.271) Data 1.489 (0.417) Loss 2.6467 (2.6009) Prec@1 35.625 (36.865) Prec@5 68.125 (67.530) Epoch: [14][1690/11272] Time 0.740 (1.272) Data 0.002 (0.418) Loss 2.6196 (2.6010) Prec@1 36.875 (36.864) Prec@5 68.750 (67.530) Epoch: [14][1700/11272] Time 0.912 (1.274) Data 0.001 (0.419) Loss 2.7241 (2.6016) Prec@1 31.875 (36.854) Prec@5 70.625 (67.524) Epoch: [14][1710/11272] Time 1.583 (1.274) Data 0.723 (0.420) Loss 2.3562 (2.6017) Prec@1 39.375 (36.857) Prec@5 71.250 (67.518) Epoch: [14][1720/11272] Time 0.755 (1.275) Data 0.001 (0.422) Loss 2.7647 (2.6021) Prec@1 37.500 (36.853) Prec@5 66.875 (67.516) Epoch: [14][1730/11272] Time 2.000 (1.277) Data 1.279 (0.423) Loss 2.7805 (2.6022) Prec@1 35.625 (36.845) Prec@5 63.125 (67.508) Epoch: [14][1740/11272] Time 0.824 (1.277) Data 0.001 (0.424) Loss 2.2523 (2.6022) Prec@1 41.250 (36.846) Prec@5 73.125 (67.503) Epoch: [14][1750/11272] Time 0.834 (1.279) Data 0.001 (0.426) Loss 2.4095 (2.6023) Prec@1 45.000 (36.845) Prec@5 68.750 (67.504) Epoch: [14][1760/11272] Time 0.760 (1.279) Data 0.002 (0.427) Loss 2.9458 (2.6022) Prec@1 33.125 (36.852) Prec@5 60.625 (67.504) Epoch: [14][1770/11272] Time 0.753 (1.281) Data 0.002 (0.428) Loss 2.8195 (2.6025) Prec@1 34.375 (36.847) Prec@5 65.625 (67.495) Epoch: [14][1780/11272] Time 0.822 (1.282) Data 0.001 (0.430) Loss 2.6413 (2.6022) Prec@1 32.500 (36.855) Prec@5 65.625 (67.498) Epoch: [14][1790/11272] Time 2.045 (1.283) Data 1.303 (0.431) Loss 2.6315 (2.6025) Prec@1 38.750 (36.842) Prec@5 67.500 (67.488) Epoch: [14][1800/11272] Time 2.685 (1.283) Data 1.890 (0.431) Loss 2.7021 (2.6024) Prec@1 35.000 (36.843) Prec@5 66.250 (67.494) Epoch: [14][1810/11272] Time 1.670 (1.284) Data 0.774 (0.432) Loss 2.7249 (2.6024) Prec@1 30.625 (36.837) Prec@5 64.375 (67.493) Epoch: [14][1820/11272] Time 2.210 (1.284) Data 1.338 (0.433) Loss 2.6838 (2.6020) Prec@1 38.125 (36.852) Prec@5 66.250 (67.499) Epoch: [14][1830/11272] Time 0.732 (1.285) Data 0.001 (0.433) Loss 2.6474 (2.6020) Prec@1 35.000 (36.856) Prec@5 64.375 (67.496) Epoch: [14][1840/11272] Time 3.271 (1.287) Data 2.474 (0.435) Loss 2.5744 (2.6019) Prec@1 40.000 (36.867) Prec@5 70.000 (67.492) Epoch: [14][1850/11272] Time 0.835 (1.287) Data 0.001 (0.435) Loss 2.6094 (2.6022) Prec@1 40.625 (36.873) Prec@5 65.625 (67.486) Epoch: [14][1860/11272] Time 3.088 (1.288) Data 2.141 (0.437) Loss 2.7890 (2.6026) Prec@1 36.250 (36.870) Prec@5 65.000 (67.480) Epoch: [14][1870/11272] Time 0.731 (1.288) Data 0.001 (0.437) Loss 2.7800 (2.6023) Prec@1 32.500 (36.874) Prec@5 62.500 (67.486) Epoch: [14][1880/11272] Time 2.729 (1.289) Data 1.942 (0.438) Loss 2.6940 (2.6025) Prec@1 40.000 (36.869) Prec@5 65.625 (67.478) Epoch: [14][1890/11272] Time 0.838 (1.289) Data 0.001 (0.439) Loss 2.5971 (2.6024) Prec@1 39.375 (36.875) Prec@5 63.750 (67.475) Epoch: [14][1900/11272] Time 2.147 (1.290) Data 1.290 (0.440) Loss 2.5519 (2.6026) Prec@1 42.500 (36.877) Prec@5 65.000 (67.470) Epoch: [14][1910/11272] Time 0.748 (1.291) Data 0.001 (0.441) Loss 2.5591 (2.6026) Prec@1 43.750 (36.879) Prec@5 67.500 (67.468) Epoch: [14][1920/11272] Time 2.367 (1.292) Data 1.381 (0.442) Loss 2.6583 (2.6027) Prec@1 36.875 (36.880) Prec@5 65.625 (67.464) Epoch: [14][1930/11272] Time 0.839 (1.292) Data 0.001 (0.442) Loss 2.5787 (2.6031) Prec@1 31.250 (36.876) Prec@5 66.875 (67.460) Epoch: [14][1940/11272] Time 2.645 (1.293) Data 1.885 (0.443) Loss 2.4938 (2.6033) Prec@1 45.000 (36.879) Prec@5 71.875 (67.458) Epoch: [14][1950/11272] Time 1.849 (1.294) Data 1.062 (0.444) Loss 2.5094 (2.6032) Prec@1 36.875 (36.876) Prec@5 71.250 (67.460) Epoch: [14][1960/11272] Time 2.256 (1.294) Data 1.441 (0.445) Loss 2.7081 (2.6036) Prec@1 33.750 (36.869) Prec@5 61.250 (67.445) Epoch: [14][1970/11272] Time 0.844 (1.294) Data 0.001 (0.445) Loss 2.4898 (2.6034) Prec@1 40.000 (36.872) Prec@5 72.500 (67.457) Epoch: [14][1980/11272] Time 1.272 (1.295) Data 0.489 (0.446) Loss 2.6439 (2.6037) Prec@1 29.375 (36.867) Prec@5 66.875 (67.456) Epoch: [14][1990/11272] Time 1.956 (1.296) Data 1.180 (0.447) Loss 2.8202 (2.6040) Prec@1 28.750 (36.860) Prec@5 58.750 (67.449) Epoch: [14][2000/11272] Time 0.890 (1.296) Data 0.002 (0.447) Loss 2.5846 (2.6044) Prec@1 34.375 (36.844) Prec@5 66.250 (67.437) Epoch: [14][2010/11272] Time 0.823 (1.298) Data 0.002 (0.449) Loss 2.7956 (2.6049) Prec@1 37.500 (36.828) Prec@5 61.250 (67.428) Epoch: [14][2020/11272] Time 1.186 (1.297) Data 0.393 (0.449) Loss 2.7312 (2.6054) Prec@1 37.500 (36.813) Prec@5 65.625 (67.415) Epoch: [14][2030/11272] Time 0.730 (1.298) Data 0.002 (0.450) Loss 2.6500 (2.6056) Prec@1 34.375 (36.806) Prec@5 65.625 (67.414) Epoch: [14][2040/11272] Time 1.210 (1.299) Data 0.340 (0.450) Loss 2.3359 (2.6054) Prec@1 41.250 (36.812) Prec@5 71.250 (67.416) Epoch: [14][2050/11272] Time 1.207 (1.300) Data 0.459 (0.451) Loss 2.7112 (2.6052) Prec@1 33.125 (36.809) Prec@5 66.875 (67.421) Epoch: [14][2060/11272] Time 0.736 (1.300) Data 0.001 (0.452) Loss 2.5646 (2.6054) Prec@1 37.500 (36.809) Prec@5 70.000 (67.422) Epoch: [14][2070/11272] Time 1.227 (1.301) Data 0.335 (0.453) Loss 2.8007 (2.6052) Prec@1 31.875 (36.807) Prec@5 62.500 (67.428) Epoch: [14][2080/11272] Time 2.106 (1.301) Data 1.247 (0.453) Loss 2.7111 (2.6057) Prec@1 31.875 (36.795) Prec@5 63.750 (67.416) Epoch: [14][2090/11272] Time 0.736 (1.302) Data 0.001 (0.454) Loss 2.5098 (2.6061) Prec@1 41.250 (36.792) Prec@5 70.625 (67.418) Epoch: [14][2100/11272] Time 2.089 (1.302) Data 1.357 (0.455) Loss 2.7225 (2.6062) Prec@1 36.250 (36.792) Prec@5 70.625 (67.413) Epoch: [14][2110/11272] Time 0.905 (1.303) Data 0.002 (0.455) Loss 2.7247 (2.6064) Prec@1 31.875 (36.786) Prec@5 65.625 (67.411) Epoch: [14][2120/11272] Time 1.737 (1.304) Data 0.881 (0.456) Loss 2.5254 (2.6066) Prec@1 36.250 (36.777) Prec@5 70.625 (67.410) Epoch: [14][2130/11272] Time 0.721 (1.304) Data 0.002 (0.457) Loss 2.7094 (2.6064) Prec@1 33.750 (36.785) Prec@5 66.250 (67.406) Epoch: [14][2140/11272] Time 2.663 (1.304) Data 1.903 (0.457) Loss 2.7440 (2.6066) Prec@1 37.500 (36.784) Prec@5 65.625 (67.403) Epoch: [14][2150/11272] Time 0.832 (1.304) Data 0.001 (0.457) Loss 2.3714 (2.6062) Prec@1 40.625 (36.797) Prec@5 73.750 (67.406) Epoch: [14][2160/11272] Time 1.235 (1.305) Data 0.325 (0.458) Loss 2.6565 (2.6062) Prec@1 35.625 (36.800) Prec@5 66.875 (67.405) Epoch: [14][2170/11272] Time 0.778 (1.305) Data 0.001 (0.458) Loss 2.5931 (2.6063) Prec@1 36.250 (36.795) Prec@5 68.750 (67.400) Epoch: [14][2180/11272] Time 1.382 (1.306) Data 0.469 (0.459) Loss 2.6503 (2.6066) Prec@1 31.875 (36.790) Prec@5 69.375 (67.395) Epoch: [14][2190/11272] Time 1.023 (1.306) Data 0.094 (0.459) Loss 2.6885 (2.6068) Prec@1 32.500 (36.784) Prec@5 70.000 (67.390) Epoch: [14][2200/11272] Time 0.751 (1.306) Data 0.002 (0.460) Loss 2.8677 (2.6070) Prec@1 29.375 (36.783) Prec@5 63.125 (67.388) Epoch: [14][2210/11272] Time 2.275 (1.307) Data 1.549 (0.461) Loss 2.3187 (2.6069) Prec@1 45.000 (36.782) Prec@5 71.250 (67.392) Epoch: [14][2220/11272] Time 1.537 (1.307) Data 0.648 (0.461) Loss 2.3977 (2.6065) Prec@1 39.375 (36.789) Prec@5 69.375 (67.403) Epoch: [14][2230/11272] Time 2.694 (1.308) Data 1.778 (0.462) Loss 2.5968 (2.6063) Prec@1 38.125 (36.790) Prec@5 69.375 (67.410) Epoch: [14][2240/11272] Time 3.965 (1.309) Data 3.219 (0.463) Loss 2.7759 (2.6064) Prec@1 31.250 (36.790) Prec@5 60.000 (67.405) Epoch: [14][2250/11272] Time 1.660 (1.309) Data 0.878 (0.463) Loss 2.3837 (2.6062) Prec@1 43.750 (36.798) Prec@5 73.750 (67.411) Epoch: [14][2260/11272] Time 1.104 (1.309) Data 0.247 (0.464) Loss 2.5757 (2.6059) Prec@1 35.625 (36.801) Prec@5 68.750 (67.412) Epoch: [14][2270/11272] Time 2.708 (1.310) Data 1.823 (0.464) Loss 2.5411 (2.6061) Prec@1 30.625 (36.794) Prec@5 72.500 (67.410) Epoch: [14][2280/11272] Time 0.730 (1.310) Data 0.002 (0.465) Loss 2.6541 (2.6063) Prec@1 33.750 (36.783) Prec@5 67.500 (67.405) Epoch: [14][2290/11272] Time 2.292 (1.310) Data 1.524 (0.465) Loss 2.7212 (2.6066) Prec@1 31.875 (36.772) Prec@5 66.875 (67.399) Epoch: [14][2300/11272] Time 0.848 (1.311) Data 0.001 (0.466) Loss 2.5147 (2.6066) Prec@1 38.750 (36.774) Prec@5 67.500 (67.397) Epoch: [14][2310/11272] Time 2.488 (1.311) Data 1.572 (0.466) Loss 2.4803 (2.6067) Prec@1 38.125 (36.771) Prec@5 68.125 (67.398) Epoch: [14][2320/11272] Time 0.748 (1.311) Data 0.023 (0.466) Loss 2.5964 (2.6066) Prec@1 38.125 (36.772) Prec@5 66.875 (67.394) Epoch: [14][2330/11272] Time 0.948 (1.311) Data 0.002 (0.467) Loss 2.6247 (2.6070) Prec@1 35.625 (36.764) Prec@5 72.500 (67.389) Epoch: [14][2340/11272] Time 2.024 (1.312) Data 1.114 (0.468) Loss 2.5467 (2.6074) Prec@1 38.125 (36.749) Prec@5 67.500 (67.385) Epoch: [14][2350/11272] Time 0.764 (1.312) Data 0.002 (0.467) Loss 2.7632 (2.6076) Prec@1 29.375 (36.749) Prec@5 65.000 (67.380) Epoch: [14][2360/11272] Time 0.753 (1.313) Data 0.002 (0.468) Loss 2.6085 (2.6076) Prec@1 36.875 (36.748) Prec@5 73.125 (67.378) Epoch: [14][2370/11272] Time 1.055 (1.313) Data 0.175 (0.469) Loss 2.5642 (2.6075) Prec@1 33.125 (36.746) Prec@5 71.250 (67.386) Epoch: [14][2380/11272] Time 0.868 (1.313) Data 0.001 (0.469) Loss 2.7308 (2.6077) Prec@1 38.750 (36.747) Prec@5 65.625 (67.383) Epoch: [14][2390/11272] Time 0.762 (1.313) Data 0.002 (0.469) Loss 2.5199 (2.6080) Prec@1 39.375 (36.736) Prec@5 68.750 (67.379) Epoch: [14][2400/11272] Time 0.723 (1.314) Data 0.001 (0.471) Loss 2.7562 (2.6080) Prec@1 34.375 (36.734) Prec@5 65.000 (67.380) Epoch: [14][2410/11272] Time 0.882 (1.314) Data 0.001 (0.470) Loss 2.6738 (2.6077) Prec@1 40.000 (36.742) Prec@5 65.625 (67.386) Epoch: [14][2420/11272] Time 0.834 (1.315) Data 0.002 (0.471) Loss 2.6975 (2.6075) Prec@1 28.750 (36.747) Prec@5 65.000 (67.391) Epoch: [14][2430/11272] Time 0.744 (1.315) Data 0.001 (0.471) Loss 2.7507 (2.6080) Prec@1 40.625 (36.742) Prec@5 66.250 (67.384) Epoch: [14][2440/11272] Time 0.752 (1.316) Data 0.002 (0.473) Loss 2.6531 (2.6080) Prec@1 31.875 (36.742) Prec@5 69.375 (67.385) Epoch: [14][2450/11272] Time 0.900 (1.315) Data 0.001 (0.472) Loss 2.6035 (2.6077) Prec@1 37.500 (36.747) Prec@5 69.375 (67.390) Epoch: [14][2460/11272] Time 0.736 (1.316) Data 0.001 (0.473) Loss 3.0017 (2.6079) Prec@1 33.125 (36.741) Prec@5 62.500 (67.390) Epoch: [14][2470/11272] Time 3.065 (1.317) Data 2.304 (0.474) Loss 2.6432 (2.6080) Prec@1 31.875 (36.738) Prec@5 65.000 (67.388) Epoch: [14][2480/11272] Time 0.808 (1.316) Data 0.001 (0.473) Loss 2.4897 (2.6079) Prec@1 45.000 (36.735) Prec@5 69.375 (67.389) Epoch: [14][2490/11272] Time 3.073 (1.317) Data 2.171 (0.474) Loss 2.6243 (2.6078) Prec@1 36.875 (36.740) Prec@5 66.875 (67.388) Epoch: [14][2500/11272] Time 2.416 (1.316) Data 1.659 (0.474) Loss 2.8463 (2.6084) Prec@1 31.250 (36.727) Prec@5 63.125 (67.378) Epoch: [14][2510/11272] Time 0.740 (1.316) Data 0.002 (0.474) Loss 2.8243 (2.6085) Prec@1 35.625 (36.722) Prec@5 60.625 (67.373) Epoch: [14][2520/11272] Time 1.624 (1.317) Data 0.767 (0.474) Loss 2.4572 (2.6087) Prec@1 41.250 (36.714) Prec@5 70.000 (67.367) Epoch: [14][2530/11272] Time 2.950 (1.317) Data 2.053 (0.475) Loss 2.3472 (2.6086) Prec@1 43.750 (36.716) Prec@5 72.500 (67.370) Epoch: [14][2540/11272] Time 0.728 (1.316) Data 0.002 (0.474) Loss 2.5871 (2.6086) Prec@1 34.375 (36.717) Prec@5 70.625 (67.372) Epoch: [14][2550/11272] Time 1.216 (1.317) Data 0.452 (0.475) Loss 2.5793 (2.6089) Prec@1 37.500 (36.715) Prec@5 67.500 (67.366) Epoch: [14][2560/11272] Time 0.864 (1.317) Data 0.002 (0.475) Loss 2.6812 (2.6088) Prec@1 30.625 (36.713) Prec@5 66.250 (67.372) Epoch: [14][2570/11272] Time 2.379 (1.318) Data 1.484 (0.476) Loss 2.5117 (2.6090) Prec@1 38.125 (36.708) Prec@5 71.250 (67.365) Epoch: [14][2580/11272] Time 0.779 (1.318) Data 0.002 (0.476) Loss 2.2490 (2.6092) Prec@1 46.875 (36.704) Prec@5 71.250 (67.363) Epoch: [14][2590/11272] Time 2.749 (1.318) Data 1.878 (0.476) Loss 2.6684 (2.6091) Prec@1 33.125 (36.705) Prec@5 64.375 (67.366) Epoch: [14][2600/11272] Time 0.903 (1.318) Data 0.001 (0.476) Loss 2.6345 (2.6091) Prec@1 33.125 (36.702) Prec@5 66.875 (67.366) Epoch: [14][2610/11272] Time 1.584 (1.318) Data 0.823 (0.476) Loss 2.7699 (2.6093) Prec@1 30.625 (36.706) Prec@5 61.250 (67.359) Epoch: [14][2620/11272] Time 0.753 (1.318) Data 0.002 (0.476) Loss 2.6763 (2.6089) Prec@1 26.875 (36.705) Prec@5 64.375 (67.360) Epoch: [14][2630/11272] Time 1.513 (1.318) Data 0.613 (0.477) Loss 2.5698 (2.6092) Prec@1 36.250 (36.698) Prec@5 69.375 (67.359) Epoch: [14][2640/11272] Time 1.136 (1.318) Data 0.227 (0.477) Loss 2.7454 (2.6091) Prec@1 35.625 (36.695) Prec@5 66.250 (67.364) Epoch: [14][2650/11272] Time 0.751 (1.319) Data 0.001 (0.477) Loss 2.3966 (2.6087) Prec@1 37.500 (36.701) Prec@5 70.625 (67.370) Epoch: [14][2660/11272] Time 0.722 (1.318) Data 0.001 (0.477) Loss 2.7559 (2.6089) Prec@1 33.750 (36.697) Prec@5 63.125 (67.369) Epoch: [14][2670/11272] Time 0.797 (1.318) Data 0.001 (0.477) Loss 2.3770 (2.6089) Prec@1 36.875 (36.696) Prec@5 73.125 (67.369) Epoch: [14][2680/11272] Time 0.898 (1.319) Data 0.001 (0.478) Loss 2.5376 (2.6090) Prec@1 31.875 (36.690) Prec@5 73.750 (67.370) Epoch: [14][2690/11272] Time 0.732 (1.319) Data 0.002 (0.478) Loss 2.5792 (2.6089) Prec@1 39.375 (36.685) Prec@5 71.250 (67.376) Epoch: [14][2700/11272] Time 0.738 (1.320) Data 0.002 (0.479) Loss 2.6497 (2.6092) Prec@1 33.750 (36.676) Prec@5 67.500 (67.369) Epoch: [14][2710/11272] Time 1.986 (1.320) Data 1.070 (0.479) Loss 2.7329 (2.6093) Prec@1 34.375 (36.672) Prec@5 66.875 (67.371) Epoch: [14][2720/11272] Time 0.737 (1.320) Data 0.003 (0.479) Loss 2.3312 (2.6094) Prec@1 43.750 (36.667) Prec@5 72.500 (67.370) Epoch: [14][2730/11272] Time 0.758 (1.319) Data 0.002 (0.479) Loss 2.6154 (2.6092) Prec@1 39.375 (36.669) Prec@5 71.875 (67.377) Epoch: [14][2740/11272] Time 0.886 (1.320) Data 0.002 (0.480) Loss 2.2830 (2.6090) Prec@1 35.625 (36.669) Prec@5 75.000 (67.381) Epoch: [14][2750/11272] Time 1.924 (1.320) Data 1.007 (0.480) Loss 2.4538 (2.6087) Prec@1 39.375 (36.677) Prec@5 69.375 (67.380) Epoch: [14][2760/11272] Time 0.752 (1.321) Data 0.002 (0.481) Loss 2.6285 (2.6084) Prec@1 39.375 (36.686) Prec@5 67.500 (67.386) Epoch: [14][2770/11272] Time 0.724 (1.320) Data 0.001 (0.480) Loss 2.4446 (2.6085) Prec@1 36.250 (36.677) Prec@5 69.375 (67.384) Epoch: [14][2780/11272] Time 0.844 (1.321) Data 0.001 (0.481) Loss 2.5916 (2.6084) Prec@1 31.875 (36.677) Prec@5 65.625 (67.386) Epoch: [14][2790/11272] Time 0.823 (1.321) Data 0.001 (0.481) Loss 2.6293 (2.6086) Prec@1 38.750 (36.673) Prec@5 66.250 (67.380) Epoch: [14][2800/11272] Time 0.740 (1.320) Data 0.001 (0.481) Loss 2.6379 (2.6085) Prec@1 40.625 (36.671) Prec@5 65.625 (67.381) Epoch: [14][2810/11272] Time 0.733 (1.320) Data 0.001 (0.481) Loss 2.7415 (2.6087) Prec@1 38.750 (36.671) Prec@5 68.125 (67.374) Epoch: [14][2820/11272] Time 1.223 (1.320) Data 0.337 (0.481) Loss 2.5722 (2.6090) Prec@1 32.500 (36.661) Prec@5 66.875 (67.369) Epoch: [14][2830/11272] Time 0.961 (1.321) Data 0.077 (0.481) Loss 2.8422 (2.6089) Prec@1 31.250 (36.666) Prec@5 65.000 (67.370) Epoch: [14][2840/11272] Time 0.769 (1.321) Data 0.001 (0.481) Loss 2.7346 (2.6089) Prec@1 33.750 (36.667) Prec@5 60.625 (67.364) Epoch: [14][2850/11272] Time 0.912 (1.321) Data 0.002 (0.482) Loss 2.3644 (2.6087) Prec@1 37.500 (36.664) Prec@5 72.500 (67.367) Epoch: [14][2860/11272] Time 0.922 (1.321) Data 0.002 (0.482) Loss 2.6630 (2.6091) Prec@1 34.375 (36.661) Prec@5 66.875 (67.360) Epoch: [14][2870/11272] Time 0.722 (1.322) Data 0.001 (0.483) Loss 2.5508 (2.6089) Prec@1 37.500 (36.662) Prec@5 73.125 (67.370) Epoch: [14][2880/11272] Time 0.742 (1.321) Data 0.002 (0.482) Loss 2.7118 (2.6088) Prec@1 29.375 (36.661) Prec@5 68.125 (67.368) Epoch: [14][2890/11272] Time 1.439 (1.321) Data 0.548 (0.482) Loss 2.5885 (2.6087) Prec@1 36.250 (36.665) Prec@5 68.750 (67.373) Epoch: [14][2900/11272] Time 1.653 (1.322) Data 0.792 (0.483) Loss 2.3991 (2.6086) Prec@1 35.625 (36.668) Prec@5 72.500 (67.371) Epoch: [14][2910/11272] Time 0.724 (1.322) Data 0.002 (0.483) Loss 2.5819 (2.6086) Prec@1 38.750 (36.670) Prec@5 68.125 (67.375) Epoch: [14][2920/11272] Time 3.502 (1.322) Data 2.719 (0.484) Loss 2.6232 (2.6083) Prec@1 31.250 (36.673) Prec@5 68.125 (67.379) Epoch: [14][2930/11272] Time 1.881 (1.322) Data 0.978 (0.484) Loss 2.7750 (2.6083) Prec@1 37.500 (36.677) Prec@5 61.875 (67.378) Epoch: [14][2940/11272] Time 2.144 (1.322) Data 1.247 (0.484) Loss 2.6263 (2.6082) Prec@1 37.500 (36.680) Prec@5 68.125 (67.379) Epoch: [14][2950/11272] Time 0.727 (1.322) Data 0.001 (0.484) Loss 2.7543 (2.6085) Prec@1 32.500 (36.677) Prec@5 61.875 (67.372) Epoch: [14][2960/11272] Time 2.714 (1.323) Data 1.975 (0.484) Loss 2.8215 (2.6085) Prec@1 36.875 (36.671) Prec@5 62.500 (67.369) Epoch: [14][2970/11272] Time 0.862 (1.323) Data 0.002 (0.484) Loss 2.7660 (2.6089) Prec@1 31.250 (36.666) Prec@5 63.125 (67.359) Epoch: [14][2980/11272] Time 4.203 (1.323) Data 3.462 (0.485) Loss 2.6802 (2.6088) Prec@1 36.875 (36.669) Prec@5 66.875 (67.363) Epoch: [14][2990/11272] Time 0.735 (1.323) Data 0.002 (0.485) Loss 2.4158 (2.6088) Prec@1 40.000 (36.670) Prec@5 69.375 (67.363) Epoch: [14][3000/11272] Time 2.780 (1.323) Data 1.906 (0.485) Loss 2.5484 (2.6087) Prec@1 38.750 (36.678) Prec@5 65.000 (67.360) Epoch: [14][3010/11272] Time 0.836 (1.322) Data 0.001 (0.485) Loss 2.6602 (2.6086) Prec@1 33.125 (36.675) Prec@5 65.625 (67.363) Epoch: [14][3020/11272] Time 2.300 (1.323) Data 1.521 (0.485) Loss 2.6793 (2.6089) Prec@1 35.625 (36.670) Prec@5 63.750 (67.357) Epoch: [14][3030/11272] Time 0.736 (1.323) Data 0.002 (0.485) Loss 2.3801 (2.6089) Prec@1 40.000 (36.671) Prec@5 70.000 (67.354) Epoch: [14][3040/11272] Time 2.534 (1.323) Data 1.594 (0.486) Loss 2.6513 (2.6092) Prec@1 35.000 (36.669) Prec@5 62.500 (67.347) Epoch: [14][3050/11272] Time 0.838 (1.323) Data 0.002 (0.485) Loss 2.8196 (2.6093) Prec@1 33.125 (36.664) Prec@5 60.000 (67.346) Epoch: [14][3060/11272] Time 2.939 (1.324) Data 2.143 (0.486) Loss 2.7947 (2.6096) Prec@1 33.125 (36.659) Prec@5 62.500 (67.341) Epoch: [14][3070/11272] Time 1.393 (1.323) Data 0.644 (0.486) Loss 2.6269 (2.6093) Prec@1 31.250 (36.664) Prec@5 70.000 (67.344) Epoch: [14][3080/11272] Time 0.864 (1.324) Data 0.001 (0.486) Loss 2.7010 (2.6095) Prec@1 35.625 (36.656) Prec@5 64.375 (67.340) Epoch: [14][3090/11272] Time 0.825 (1.323) Data 0.002 (0.486) Loss 2.5670 (2.6096) Prec@1 35.625 (36.656) Prec@5 70.000 (67.339) Epoch: [14][3100/11272] Time 0.731 (1.324) Data 0.001 (0.487) Loss 2.7076 (2.6099) Prec@1 33.125 (36.652) Prec@5 68.125 (67.336) Epoch: [14][3110/11272] Time 0.852 (1.324) Data 0.001 (0.487) Loss 2.6823 (2.6101) Prec@1 34.375 (36.648) Prec@5 64.375 (67.330) Epoch: [14][3120/11272] Time 0.901 (1.324) Data 0.001 (0.487) Loss 2.4973 (2.6100) Prec@1 41.250 (36.645) Prec@5 72.500 (67.331) Epoch: [14][3130/11272] Time 0.781 (1.324) Data 0.002 (0.487) Loss 2.7155 (2.6099) Prec@1 33.125 (36.647) Prec@5 66.250 (67.330) Epoch: [14][3140/11272] Time 1.414 (1.324) Data 0.623 (0.487) Loss 2.5893 (2.6102) Prec@1 36.250 (36.637) Prec@5 65.625 (67.326) Epoch: [14][3150/11272] Time 0.840 (1.324) Data 0.001 (0.487) Loss 2.6203 (2.6102) Prec@1 35.000 (36.637) Prec@5 66.875 (67.328) Epoch: [14][3160/11272] Time 0.897 (1.324) Data 0.002 (0.487) Loss 2.5439 (2.6102) Prec@1 38.125 (36.637) Prec@5 72.500 (67.328) Epoch: [14][3170/11272] Time 0.727 (1.324) Data 0.001 (0.487) Loss 2.4302 (2.6100) Prec@1 40.625 (36.641) Prec@5 70.625 (67.332) Epoch: [14][3180/11272] Time 0.744 (1.324) Data 0.001 (0.488) Loss 2.4374 (2.6101) Prec@1 44.375 (36.641) Prec@5 70.000 (67.328) Epoch: [14][3190/11272] Time 0.878 (1.324) Data 0.002 (0.488) Loss 2.6050 (2.6104) Prec@1 41.250 (36.640) Prec@5 65.625 (67.321) Epoch: [14][3200/11272] Time 2.175 (1.325) Data 1.314 (0.488) Loss 2.5866 (2.6105) Prec@1 35.625 (36.639) Prec@5 70.000 (67.320) Epoch: [14][3210/11272] Time 0.748 (1.324) Data 0.001 (0.488) Loss 2.6863 (2.6106) Prec@1 36.250 (36.632) Prec@5 63.750 (67.318) Epoch: [14][3220/11272] Time 0.763 (1.324) Data 0.002 (0.488) Loss 2.3649 (2.6106) Prec@1 38.750 (36.633) Prec@5 71.875 (67.316) Epoch: [14][3230/11272] Time 0.891 (1.324) Data 0.001 (0.488) Loss 2.8061 (2.6108) Prec@1 34.375 (36.629) Prec@5 62.500 (67.310) Epoch: [14][3240/11272] Time 1.871 (1.325) Data 0.987 (0.488) Loss 2.6114 (2.6108) Prec@1 41.875 (36.630) Prec@5 67.500 (67.310) Epoch: [14][3250/11272] Time 0.760 (1.324) Data 0.001 (0.488) Loss 2.3839 (2.6107) Prec@1 41.250 (36.636) Prec@5 70.625 (67.309) Epoch: [14][3260/11272] Time 2.973 (1.325) Data 2.070 (0.489) Loss 2.8415 (2.6108) Prec@1 33.750 (36.638) Prec@5 61.875 (67.309) Epoch: [14][3270/11272] Time 0.882 (1.324) Data 0.002 (0.489) Loss 2.6114 (2.6110) Prec@1 31.875 (36.633) Prec@5 66.250 (67.305) Epoch: [14][3280/11272] Time 2.578 (1.325) Data 1.783 (0.489) Loss 2.7396 (2.6108) Prec@1 31.875 (36.632) Prec@5 63.750 (67.311) Epoch: [14][3290/11272] Time 0.755 (1.325) Data 0.001 (0.489) Loss 2.7310 (2.6110) Prec@1 32.500 (36.627) Prec@5 65.000 (67.305) Epoch: [14][3300/11272] Time 1.697 (1.325) Data 0.833 (0.489) Loss 2.4641 (2.6109) Prec@1 39.375 (36.631) Prec@5 68.125 (67.306) Epoch: [14][3310/11272] Time 0.901 (1.324) Data 0.002 (0.489) Loss 2.5917 (2.6109) Prec@1 36.875 (36.628) Prec@5 66.250 (67.305) Epoch: [14][3320/11272] Time 1.045 (1.325) Data 0.310 (0.489) Loss 2.5771 (2.6109) Prec@1 33.125 (36.631) Prec@5 70.625 (67.305) Epoch: [14][3330/11272] Time 0.771 (1.325) Data 0.001 (0.489) Loss 2.7558 (2.6112) Prec@1 32.500 (36.626) Prec@5 63.750 (67.299) Epoch: [14][3340/11272] Time 2.520 (1.325) Data 1.637 (0.490) Loss 2.5374 (2.6112) Prec@1 39.375 (36.628) Prec@5 68.750 (67.299) Epoch: [14][3350/11272] Time 0.982 (1.325) Data 0.112 (0.489) Loss 2.4431 (2.6112) Prec@1 36.875 (36.628) Prec@5 71.250 (67.302) Epoch: [14][3360/11272] Time 1.945 (1.325) Data 1.214 (0.490) Loss 2.7951 (2.6112) Prec@1 36.250 (36.628) Prec@5 70.625 (67.307) Epoch: [14][3370/11272] Time 2.415 (1.325) Data 1.582 (0.490) Loss 2.6263 (2.6114) Prec@1 30.625 (36.621) Prec@5 65.625 (67.304) Epoch: [14][3380/11272] Time 0.884 (1.325) Data 0.001 (0.489) Loss 2.8395 (2.6114) Prec@1 30.625 (36.621) Prec@5 61.875 (67.304) Epoch: [14][3390/11272] Time 3.226 (1.325) Data 2.447 (0.490) Loss 2.8234 (2.6115) Prec@1 37.500 (36.623) Prec@5 62.500 (67.306) Epoch: [14][3400/11272] Time 1.667 (1.325) Data 0.931 (0.490) Loss 2.6090 (2.6115) Prec@1 36.875 (36.622) Prec@5 68.125 (67.308) Epoch: [14][3410/11272] Time 1.376 (1.325) Data 0.465 (0.490) Loss 2.7740 (2.6114) Prec@1 27.500 (36.621) Prec@5 66.250 (67.309) Epoch: [14][3420/11272] Time 2.227 (1.325) Data 1.346 (0.490) Loss 2.6255 (2.6115) Prec@1 37.500 (36.624) Prec@5 65.000 (67.306) Epoch: [14][3430/11272] Time 3.617 (1.325) Data 2.848 (0.490) Loss 2.7385 (2.6115) Prec@1 31.250 (36.621) Prec@5 63.750 (67.306) Epoch: [14][3440/11272] Time 0.724 (1.325) Data 0.002 (0.490) Loss 2.4572 (2.6117) Prec@1 42.500 (36.619) Prec@5 73.125 (67.303) Epoch: [14][3450/11272] Time 2.809 (1.325) Data 1.906 (0.490) Loss 2.5747 (2.6120) Prec@1 40.000 (36.616) Prec@5 64.375 (67.295) Epoch: [14][3460/11272] Time 0.820 (1.325) Data 0.001 (0.491) Loss 2.9710 (2.6122) Prec@1 31.875 (36.614) Prec@5 58.125 (67.291) Epoch: [14][3470/11272] Time 2.639 (1.325) Data 1.864 (0.490) Loss 2.5426 (2.6123) Prec@1 40.000 (36.612) Prec@5 66.250 (67.288) Epoch: [14][3480/11272] Time 0.718 (1.324) Data 0.001 (0.490) Loss 2.6156 (2.6124) Prec@1 36.250 (36.610) Prec@5 66.250 (67.287) Epoch: [14][3490/11272] Time 0.818 (1.324) Data 0.002 (0.490) Loss 2.4214 (2.6122) Prec@1 41.875 (36.616) Prec@5 66.250 (67.286) Epoch: [14][3500/11272] Time 0.854 (1.325) Data 0.002 (0.490) Loss 2.5090 (2.6124) Prec@1 43.125 (36.616) Prec@5 70.625 (67.285) Epoch: [14][3510/11272] Time 1.444 (1.324) Data 0.669 (0.490) Loss 2.4701 (2.6123) Prec@1 43.125 (36.618) Prec@5 69.375 (67.286) Epoch: [14][3520/11272] Time 1.096 (1.324) Data 0.171 (0.490) Loss 2.5138 (2.6124) Prec@1 38.750 (36.618) Prec@5 66.250 (67.281) Epoch: [14][3530/11272] Time 0.891 (1.324) Data 0.007 (0.490) Loss 2.6269 (2.6124) Prec@1 34.375 (36.619) Prec@5 63.750 (67.279) Epoch: [14][3540/11272] Time 1.819 (1.324) Data 1.048 (0.490) Loss 2.5432 (2.6123) Prec@1 38.125 (36.622) Prec@5 61.875 (67.284) Epoch: [14][3550/11272] Time 0.732 (1.324) Data 0.002 (0.490) Loss 2.4779 (2.6123) Prec@1 41.250 (36.626) Prec@5 69.375 (67.282) Epoch: [14][3560/11272] Time 2.383 (1.324) Data 1.430 (0.490) Loss 2.5625 (2.6124) Prec@1 34.375 (36.625) Prec@5 70.625 (67.280) Epoch: [14][3570/11272] Time 1.805 (1.324) Data 0.955 (0.490) Loss 2.6457 (2.6124) Prec@1 35.000 (36.625) Prec@5 65.625 (67.285) Epoch: [14][3580/11272] Time 0.756 (1.324) Data 0.002 (0.490) Loss 2.6935 (2.6125) Prec@1 36.250 (36.626) Prec@5 66.875 (67.285) Epoch: [14][3590/11272] Time 0.728 (1.324) Data 0.002 (0.490) Loss 2.6305 (2.6124) Prec@1 37.500 (36.628) Prec@5 65.000 (67.284) Epoch: [14][3600/11272] Time 0.912 (1.323) Data 0.001 (0.490) Loss 2.5067 (2.6123) Prec@1 35.625 (36.630) Prec@5 70.000 (67.283) Epoch: [14][3610/11272] Time 1.882 (1.324) Data 1.032 (0.490) Loss 2.5578 (2.6122) Prec@1 36.875 (36.634) Prec@5 66.875 (67.284) Epoch: [14][3620/11272] Time 0.720 (1.323) Data 0.001 (0.490) Loss 2.7557 (2.6122) Prec@1 38.125 (36.633) Prec@5 65.000 (67.285) Epoch: [14][3630/11272] Time 0.729 (1.323) Data 0.002 (0.490) Loss 2.7075 (2.6123) Prec@1 29.375 (36.630) Prec@5 63.125 (67.284) Epoch: [14][3640/11272] Time 0.827 (1.323) Data 0.001 (0.490) Loss 2.8187 (2.6124) Prec@1 33.750 (36.630) Prec@5 64.375 (67.285) Epoch: [14][3650/11272] Time 2.460 (1.323) Data 1.683 (0.490) Loss 2.7296 (2.6125) Prec@1 35.000 (36.628) Prec@5 68.125 (67.288) Epoch: [14][3660/11272] Time 0.742 (1.323) Data 0.001 (0.490) Loss 2.6438 (2.6124) Prec@1 36.250 (36.632) Prec@5 65.625 (67.294) Epoch: [14][3670/11272] Time 1.974 (1.323) Data 1.135 (0.490) Loss 2.6964 (2.6123) Prec@1 38.125 (36.637) Prec@5 63.125 (67.296) Epoch: [14][3680/11272] Time 0.856 (1.323) Data 0.002 (0.490) Loss 2.6577 (2.6123) Prec@1 34.375 (36.637) Prec@5 68.750 (67.296) Epoch: [14][3690/11272] Time 2.077 (1.323) Data 1.324 (0.490) Loss 2.2859 (2.6121) Prec@1 46.875 (36.639) Prec@5 75.625 (67.302) Epoch: [14][3700/11272] Time 1.325 (1.323) Data 0.581 (0.490) Loss 2.6069 (2.6122) Prec@1 40.000 (36.639) Prec@5 65.000 (67.299) Epoch: [14][3710/11272] Time 1.113 (1.323) Data 0.254 (0.490) Loss 2.7530 (2.6124) Prec@1 40.625 (36.632) Prec@5 65.625 (67.294) Epoch: [14][3720/11272] Time 2.964 (1.323) Data 2.089 (0.490) Loss 2.5917 (2.6125) Prec@1 38.750 (36.635) Prec@5 70.625 (67.292) Epoch: [14][3730/11272] Time 0.788 (1.323) Data 0.002 (0.490) Loss 2.4193 (2.6124) Prec@1 40.000 (36.636) Prec@5 73.125 (67.295) Epoch: [14][3740/11272] Time 2.574 (1.323) Data 1.817 (0.490) Loss 2.8131 (2.6125) Prec@1 35.625 (36.639) Prec@5 61.250 (67.291) Epoch: [14][3750/11272] Time 0.832 (1.323) Data 0.001 (0.490) Loss 2.5336 (2.6125) Prec@1 36.250 (36.637) Prec@5 68.125 (67.293) Epoch: [14][3760/11272] Time 0.856 (1.322) Data 0.002 (0.490) Loss 2.5911 (2.6125) Prec@1 36.875 (36.635) Prec@5 67.500 (67.294) Epoch: [14][3770/11272] Time 2.847 (1.323) Data 2.084 (0.490) Loss 2.5806 (2.6128) Prec@1 35.000 (36.630) Prec@5 66.875 (67.289) Epoch: [14][3780/11272] Time 0.853 (1.322) Data 0.001 (0.490) Loss 2.4953 (2.6128) Prec@1 41.250 (36.629) Prec@5 68.750 (67.290) Epoch: [14][3790/11272] Time 1.259 (1.322) Data 0.397 (0.490) Loss 2.3369 (2.6127) Prec@1 44.375 (36.633) Prec@5 70.625 (67.292) Epoch: [14][3800/11272] Time 0.728 (1.322) Data 0.001 (0.490) Loss 2.7613 (2.6128) Prec@1 34.375 (36.629) Prec@5 62.500 (67.290) Epoch: [14][3810/11272] Time 1.174 (1.322) Data 0.389 (0.489) Loss 2.6479 (2.6128) Prec@1 35.000 (36.626) Prec@5 65.625 (67.288) Epoch: [14][3820/11272] Time 3.065 (1.322) Data 2.150 (0.490) Loss 2.6491 (2.6129) Prec@1 31.875 (36.624) Prec@5 71.250 (67.288) Epoch: [14][3830/11272] Time 0.893 (1.322) Data 0.002 (0.490) Loss 2.5705 (2.6129) Prec@1 39.375 (36.627) Prec@5 67.500 (67.289) Epoch: [14][3840/11272] Time 1.833 (1.322) Data 1.028 (0.490) Loss 2.5375 (2.6129) Prec@1 40.625 (36.626) Prec@5 67.500 (67.288) Epoch: [14][3850/11272] Time 0.744 (1.321) Data 0.002 (0.489) Loss 2.6988 (2.6127) Prec@1 34.375 (36.630) Prec@5 65.000 (67.292) Epoch: [14][3860/11272] Time 1.165 (1.321) Data 0.271 (0.489) Loss 2.5024 (2.6127) Prec@1 38.125 (36.632) Prec@5 71.250 (67.293) Epoch: [14][3870/11272] Time 1.010 (1.320) Data 0.177 (0.488) Loss 2.9279 (2.6128) Prec@1 33.125 (36.626) Prec@5 63.125 (67.293) Epoch: [14][3880/11272] Time 2.025 (1.320) Data 1.279 (0.489) Loss 2.4122 (2.6128) Prec@1 40.000 (36.625) Prec@5 71.875 (67.293) Epoch: [14][3890/11272] Time 2.265 (1.320) Data 1.472 (0.488) Loss 2.6534 (2.6128) Prec@1 38.125 (36.626) Prec@5 63.750 (67.289) Epoch: [14][3900/11272] Time 4.169 (1.320) Data 3.297 (0.488) Loss 2.6322 (2.6129) Prec@1 33.125 (36.627) Prec@5 67.500 (67.289) Epoch: [14][3910/11272] Time 0.726 (1.320) Data 0.003 (0.488) Loss 2.6513 (2.6129) Prec@1 34.375 (36.623) Prec@5 66.875 (67.289) Epoch: [14][3920/11272] Time 1.852 (1.320) Data 1.119 (0.488) Loss 2.8563 (2.6128) Prec@1 34.375 (36.625) Prec@5 63.125 (67.285) Epoch: [14][3930/11272] Time 0.838 (1.320) Data 0.001 (0.488) Loss 2.5145 (2.6129) Prec@1 39.375 (36.623) Prec@5 70.625 (67.285) Epoch: [14][3940/11272] Time 0.847 (1.319) Data 0.001 (0.488) Loss 2.7444 (2.6128) Prec@1 39.375 (36.630) Prec@5 66.250 (67.291) Epoch: [14][3950/11272] Time 0.772 (1.319) Data 0.002 (0.487) Loss 2.7363 (2.6126) Prec@1 32.500 (36.629) Prec@5 66.250 (67.292) Epoch: [14][3960/11272] Time 1.109 (1.318) Data 0.351 (0.487) Loss 2.3971 (2.6125) Prec@1 38.750 (36.631) Prec@5 71.875 (67.295) Epoch: [14][3970/11272] Time 2.897 (1.319) Data 1.971 (0.487) Loss 2.4308 (2.6124) Prec@1 38.125 (36.635) Prec@5 75.000 (67.302) Epoch: [14][3980/11272] Time 0.885 (1.318) Data 0.002 (0.487) Loss 2.6692 (2.6125) Prec@1 35.625 (36.637) Prec@5 69.375 (67.304) Epoch: [14][3990/11272] Time 2.527 (1.318) Data 1.748 (0.487) Loss 2.7133 (2.6125) Prec@1 35.625 (36.637) Prec@5 69.375 (67.304) Epoch: [14][4000/11272] Time 0.727 (1.318) Data 0.002 (0.487) Loss 2.6994 (2.6126) Prec@1 33.125 (36.633) Prec@5 69.375 (67.301) Epoch: [14][4010/11272] Time 0.936 (1.317) Data 0.063 (0.486) Loss 2.6267 (2.6127) Prec@1 33.125 (36.631) Prec@5 65.625 (67.300) Epoch: [14][4020/11272] Time 0.833 (1.317) Data 0.001 (0.486) Loss 2.6080 (2.6125) Prec@1 35.625 (36.637) Prec@5 65.625 (67.308) Epoch: [14][4030/11272] Time 0.697 (1.317) Data 0.001 (0.486) Loss 2.5022 (2.6123) Prec@1 41.875 (36.644) Prec@5 68.750 (67.310) Epoch: [14][4040/11272] Time 2.134 (1.317) Data 1.228 (0.486) Loss 2.5718 (2.6122) Prec@1 37.500 (36.647) Prec@5 65.000 (67.312) Epoch: [14][4050/11272] Time 2.143 (1.317) Data 1.298 (0.486) Loss 2.4256 (2.6122) Prec@1 41.875 (36.646) Prec@5 69.375 (67.313) Epoch: [14][4060/11272] Time 0.739 (1.317) Data 0.002 (0.486) Loss 2.5651 (2.6123) Prec@1 40.625 (36.641) Prec@5 68.750 (67.311) Epoch: [14][4070/11272] Time 1.799 (1.316) Data 0.988 (0.486) Loss 2.6232 (2.6123) Prec@1 39.375 (36.638) Prec@5 66.250 (67.311) Epoch: [14][4080/11272] Time 0.827 (1.316) Data 0.001 (0.485) Loss 2.6270 (2.6122) Prec@1 37.500 (36.637) Prec@5 65.625 (67.310) Epoch: [14][4090/11272] Time 1.717 (1.316) Data 0.783 (0.485) Loss 2.6767 (2.6124) Prec@1 38.750 (36.634) Prec@5 64.375 (67.305) Epoch: [14][4100/11272] Time 0.728 (1.316) Data 0.002 (0.485) Loss 2.5133 (2.6125) Prec@1 41.250 (36.635) Prec@5 69.375 (67.301) Epoch: [14][4110/11272] Time 0.827 (1.315) Data 0.075 (0.485) Loss 2.8140 (2.6127) Prec@1 33.125 (36.633) Prec@5 62.500 (67.296) Epoch: [14][4120/11272] Time 3.378 (1.315) Data 2.486 (0.485) Loss 2.4485 (2.6125) Prec@1 41.250 (36.635) Prec@5 69.375 (67.299) Epoch: [14][4130/11272] Time 1.366 (1.315) Data 0.509 (0.484) Loss 2.5007 (2.6126) Prec@1 30.000 (36.629) Prec@5 70.000 (67.300) Epoch: [14][4140/11272] Time 2.146 (1.315) Data 1.372 (0.484) Loss 2.5981 (2.6126) Prec@1 35.625 (36.631) Prec@5 68.125 (67.300) Epoch: [14][4150/11272] Time 0.728 (1.315) Data 0.001 (0.484) Loss 2.8181 (2.6127) Prec@1 28.750 (36.625) Prec@5 64.375 (67.297) Epoch: [14][4160/11272] Time 1.225 (1.314) Data 0.371 (0.484) Loss 2.5921 (2.6126) Prec@1 35.625 (36.624) Prec@5 70.625 (67.299) Epoch: [14][4170/11272] Time 0.989 (1.314) Data 0.121 (0.484) Loss 2.6455 (2.6127) Prec@1 39.375 (36.626) Prec@5 66.250 (67.297) Epoch: [14][4180/11272] Time 0.721 (1.314) Data 0.001 (0.483) Loss 2.4315 (2.6127) Prec@1 44.375 (36.629) Prec@5 71.250 (67.299) Epoch: [14][4190/11272] Time 0.903 (1.313) Data 0.001 (0.483) Loss 2.9188 (2.6127) Prec@1 33.750 (36.629) Prec@5 61.875 (67.299) Epoch: [14][4200/11272] Time 0.865 (1.313) Data 0.002 (0.483) Loss 2.5637 (2.6124) Prec@1 35.000 (36.634) Prec@5 67.500 (67.305) Epoch: [14][4210/11272] Time 1.102 (1.313) Data 0.364 (0.483) Loss 2.5752 (2.6122) Prec@1 36.250 (36.634) Prec@5 63.750 (67.305) Epoch: [14][4220/11272] Time 0.738 (1.312) Data 0.002 (0.483) Loss 2.8689 (2.6120) Prec@1 29.375 (36.637) Prec@5 71.250 (67.309) Epoch: [14][4230/11272] Time 4.045 (1.313) Data 3.171 (0.483) Loss 2.4898 (2.6121) Prec@1 45.000 (36.636) Prec@5 70.000 (67.309) Epoch: [14][4240/11272] Time 0.848 (1.312) Data 0.001 (0.482) Loss 2.6224 (2.6121) Prec@1 37.500 (36.633) Prec@5 64.375 (67.304) Epoch: [14][4250/11272] Time 2.605 (1.312) Data 1.840 (0.482) Loss 2.6786 (2.6119) Prec@1 36.875 (36.635) Prec@5 61.875 (67.311) Epoch: [14][4260/11272] Time 1.257 (1.311) Data 0.524 (0.482) Loss 2.5442 (2.6118) Prec@1 36.250 (36.632) Prec@5 70.625 (67.313) Epoch: [14][4270/11272] Time 3.527 (1.312) Data 2.624 (0.482) Loss 2.7155 (2.6120) Prec@1 35.625 (36.629) Prec@5 65.000 (67.310) Epoch: [14][4280/11272] Time 0.844 (1.311) Data 0.001 (0.481) Loss 2.6825 (2.6121) Prec@1 33.125 (36.628) Prec@5 63.750 (67.309) Epoch: [14][4290/11272] Time 3.764 (1.311) Data 3.023 (0.482) Loss 2.6007 (2.6120) Prec@1 40.000 (36.630) Prec@5 67.500 (67.309) Epoch: [14][4300/11272] Time 0.737 (1.310) Data 0.001 (0.481) Loss 2.4416 (2.6120) Prec@1 40.625 (36.631) Prec@5 70.625 (67.306) Epoch: [14][4310/11272] Time 0.866 (1.309) Data 0.001 (0.480) Loss 2.3449 (2.6119) Prec@1 45.625 (36.631) Prec@5 74.375 (67.308) Epoch: [14][4320/11272] Time 0.758 (1.310) Data 0.001 (0.480) Loss 2.6567 (2.6119) Prec@1 38.750 (36.634) Prec@5 65.625 (67.308) Epoch: [14][4330/11272] Time 1.459 (1.309) Data 0.676 (0.480) Loss 2.5392 (2.6119) Prec@1 41.250 (36.635) Prec@5 69.375 (67.306) Epoch: [14][4340/11272] Time 0.876 (1.309) Data 0.001 (0.480) Loss 2.4402 (2.6119) Prec@1 40.000 (36.636) Prec@5 69.375 (67.307) Epoch: [14][4350/11272] Time 2.333 (1.309) Data 1.413 (0.480) Loss 2.4968 (2.6120) Prec@1 36.875 (36.634) Prec@5 72.500 (67.305) Epoch: [14][4360/11272] Time 2.256 (1.309) Data 1.497 (0.479) Loss 2.4918 (2.6119) Prec@1 35.625 (36.635) Prec@5 68.125 (67.308) Epoch: [14][4370/11272] Time 0.718 (1.308) Data 0.002 (0.479) Loss 2.4885 (2.6119) Prec@1 39.375 (36.636) Prec@5 66.250 (67.310) Epoch: [14][4380/11272] Time 0.853 (1.308) Data 0.001 (0.479) Loss 2.6836 (2.6120) Prec@1 34.375 (36.633) Prec@5 64.375 (67.306) Epoch: [14][4390/11272] Time 0.853 (1.307) Data 0.002 (0.478) Loss 2.4239 (2.6120) Prec@1 44.375 (36.636) Prec@5 65.625 (67.305) Epoch: [14][4400/11272] Time 1.015 (1.307) Data 0.264 (0.478) Loss 2.4615 (2.6121) Prec@1 38.750 (36.634) Prec@5 69.375 (67.307) Epoch: [14][4410/11272] Time 0.744 (1.307) Data 0.002 (0.478) Loss 2.4585 (2.6122) Prec@1 37.500 (36.630) Prec@5 70.000 (67.304) Epoch: [14][4420/11272] Time 1.857 (1.306) Data 0.987 (0.478) Loss 2.7148 (2.6123) Prec@1 32.500 (36.629) Prec@5 62.500 (67.305) Epoch: [14][4430/11272] Time 0.842 (1.306) Data 0.001 (0.478) Loss 2.4959 (2.6122) Prec@1 36.875 (36.631) Prec@5 68.750 (67.308) Epoch: [14][4440/11272] Time 0.768 (1.306) Data 0.001 (0.477) Loss 2.9124 (2.6123) Prec@1 30.625 (36.632) Prec@5 60.000 (67.306) Epoch: [14][4450/11272] Time 0.876 (1.306) Data 0.001 (0.477) Loss 2.5668 (2.6123) Prec@1 39.375 (36.631) Prec@5 65.000 (67.302) Epoch: [14][4460/11272] Time 0.959 (1.305) Data 0.048 (0.477) Loss 2.9297 (2.6125) Prec@1 30.000 (36.628) Prec@5 60.625 (67.299) Epoch: [14][4470/11272] Time 2.701 (1.305) Data 1.918 (0.477) Loss 2.5700 (2.6125) Prec@1 35.625 (36.629) Prec@5 65.625 (67.297) Epoch: [14][4480/11272] Time 0.756 (1.305) Data 0.002 (0.476) Loss 2.8055 (2.6126) Prec@1 31.875 (36.630) Prec@5 68.125 (67.297) Epoch: [14][4490/11272] Time 0.856 (1.305) Data 0.002 (0.476) Loss 2.9207 (2.6127) Prec@1 29.375 (36.627) Prec@5 63.125 (67.297) Epoch: [14][4500/11272] Time 0.832 (1.304) Data 0.002 (0.476) Loss 2.6239 (2.6126) Prec@1 36.875 (36.629) Prec@5 71.250 (67.300) Epoch: [14][4510/11272] Time 0.714 (1.304) Data 0.001 (0.476) Loss 2.6857 (2.6123) Prec@1 33.125 (36.635) Prec@5 66.875 (67.304) Epoch: [14][4520/11272] Time 0.966 (1.304) Data 0.209 (0.475) Loss 2.5905 (2.6121) Prec@1 37.500 (36.636) Prec@5 70.000 (67.310) Epoch: [14][4530/11272] Time 0.858 (1.303) Data 0.001 (0.475) Loss 2.4916 (2.6122) Prec@1 36.875 (36.636) Prec@5 73.125 (67.305) Epoch: [14][4540/11272] Time 1.795 (1.303) Data 0.945 (0.475) Loss 2.3823 (2.6122) Prec@1 37.500 (36.633) Prec@5 70.625 (67.303) Epoch: [14][4550/11272] Time 0.747 (1.303) Data 0.002 (0.475) Loss 2.8217 (2.6123) Prec@1 32.500 (36.632) Prec@5 61.875 (67.303) Epoch: [14][4560/11272] Time 0.746 (1.303) Data 0.002 (0.475) Loss 2.4303 (2.6121) Prec@1 38.750 (36.636) Prec@5 70.625 (67.304) Epoch: [14][4570/11272] Time 2.238 (1.302) Data 1.390 (0.474) Loss 2.7447 (2.6121) Prec@1 33.125 (36.634) Prec@5 63.750 (67.307) Epoch: [14][4580/11272] Time 0.753 (1.302) Data 0.005 (0.474) Loss 2.7808 (2.6122) Prec@1 33.750 (36.633) Prec@5 61.250 (67.306) Epoch: [14][4590/11272] Time 2.272 (1.302) Data 1.516 (0.474) Loss 2.5743 (2.6121) Prec@1 36.250 (36.636) Prec@5 65.625 (67.307) Epoch: [14][4600/11272] Time 0.889 (1.301) Data 0.001 (0.473) Loss 2.9208 (2.6123) Prec@1 29.375 (36.633) Prec@5 65.000 (67.304) Epoch: [14][4610/11272] Time 1.015 (1.301) Data 0.116 (0.473) Loss 2.9258 (2.6123) Prec@1 30.625 (36.631) Prec@5 63.750 (67.305) Epoch: [14][4620/11272] Time 0.719 (1.300) Data 0.001 (0.473) Loss 2.3523 (2.6124) Prec@1 46.250 (36.629) Prec@5 73.125 (67.304) Epoch: [14][4630/11272] Time 1.081 (1.300) Data 0.276 (0.473) Loss 2.7866 (2.6122) Prec@1 32.500 (36.634) Prec@5 65.000 (67.308) Epoch: [14][4640/11272] Time 0.839 (1.300) Data 0.002 (0.472) Loss 2.6286 (2.6122) Prec@1 32.500 (36.631) Prec@5 68.125 (67.309) Epoch: [14][4650/11272] Time 1.079 (1.300) Data 0.222 (0.472) Loss 2.6607 (2.6122) Prec@1 37.500 (36.632) Prec@5 70.625 (67.312) Epoch: [14][4660/11272] Time 0.732 (1.299) Data 0.002 (0.472) Loss 2.4080 (2.6120) Prec@1 38.750 (36.636) Prec@5 72.500 (67.315) Epoch: [14][4670/11272] Time 0.727 (1.299) Data 0.002 (0.471) Loss 2.6204 (2.6119) Prec@1 39.375 (36.636) Prec@5 68.125 (67.315) Epoch: [14][4680/11272] Time 2.499 (1.299) Data 1.634 (0.472) Loss 2.7083 (2.6120) Prec@1 35.000 (36.634) Prec@5 66.250 (67.313) Epoch: [14][4690/11272] Time 0.828 (1.298) Data 0.001 (0.471) Loss 2.7508 (2.6120) Prec@1 34.375 (36.637) Prec@5 63.750 (67.313) Epoch: [14][4700/11272] Time 0.732 (1.298) Data 0.001 (0.471) Loss 2.5888 (2.6119) Prec@1 36.250 (36.637) Prec@5 68.750 (67.316) Epoch: [14][4710/11272] Time 0.841 (1.298) Data 0.001 (0.471) Loss 2.9621 (2.6120) Prec@1 31.875 (36.635) Prec@5 63.750 (67.314) Epoch: [14][4720/11272] Time 0.844 (1.298) Data 0.002 (0.470) Loss 2.4106 (2.6120) Prec@1 43.125 (36.638) Prec@5 70.625 (67.314) Epoch: [14][4730/11272] Time 3.822 (1.298) Data 3.037 (0.471) Loss 2.5231 (2.6120) Prec@1 39.375 (36.640) Prec@5 73.125 (67.316) Epoch: [14][4740/11272] Time 0.723 (1.297) Data 0.001 (0.470) Loss 2.6541 (2.6122) Prec@1 31.250 (36.637) Prec@5 68.750 (67.312) Epoch: [14][4750/11272] Time 1.077 (1.296) Data 0.205 (0.469) Loss 2.7760 (2.6123) Prec@1 28.125 (36.633) Prec@5 64.375 (67.309) Epoch: [14][4760/11272] Time 0.845 (1.296) Data 0.001 (0.469) Loss 2.8509 (2.6123) Prec@1 36.250 (36.635) Prec@5 63.750 (67.311) Epoch: [14][4770/11272] Time 0.726 (1.296) Data 0.001 (0.469) Loss 2.6084 (2.6124) Prec@1 33.750 (36.634) Prec@5 66.250 (67.309) Epoch: [14][4780/11272] Time 0.908 (1.296) Data 0.154 (0.469) Loss 2.5971 (2.6124) Prec@1 40.625 (36.634) Prec@5 66.875 (67.309) Epoch: [14][4790/11272] Time 0.879 (1.295) Data 0.002 (0.468) Loss 2.8242 (2.6125) Prec@1 34.375 (36.636) Prec@5 63.750 (67.307) Epoch: [14][4800/11272] Time 0.835 (1.295) Data 0.002 (0.468) Loss 2.4563 (2.6125) Prec@1 40.000 (36.638) Prec@5 70.000 (67.304) Epoch: [14][4810/11272] Time 0.729 (1.295) Data 0.002 (0.468) Loss 2.6718 (2.6125) Prec@1 31.875 (36.639) Prec@5 70.000 (67.306) Epoch: [14][4820/11272] Time 0.856 (1.294) Data 0.101 (0.468) Loss 2.9385 (2.6126) Prec@1 26.250 (36.639) Prec@5 61.875 (67.307) Epoch: [14][4830/11272] Time 1.955 (1.294) Data 1.124 (0.467) Loss 2.8148 (2.6127) Prec@1 26.875 (36.634) Prec@5 60.000 (67.305) Epoch: [14][4840/11272] Time 1.351 (1.294) Data 0.594 (0.467) Loss 2.7770 (2.6128) Prec@1 33.125 (36.631) Prec@5 64.375 (67.306) Epoch: [14][4850/11272] Time 0.727 (1.293) Data 0.002 (0.467) Loss 2.5166 (2.6127) Prec@1 43.750 (36.635) Prec@5 71.250 (67.309) Epoch: [14][4860/11272] Time 1.144 (1.293) Data 0.277 (0.466) Loss 2.6105 (2.6124) Prec@1 39.375 (36.640) Prec@5 66.875 (67.314) Epoch: [14][4870/11272] Time 0.883 (1.292) Data 0.002 (0.466) Loss 2.7874 (2.6125) Prec@1 34.375 (36.640) Prec@5 65.000 (67.313) Epoch: [14][4880/11272] Time 1.414 (1.292) Data 0.666 (0.466) Loss 2.7142 (2.6126) Prec@1 36.875 (36.639) Prec@5 63.125 (67.309) Epoch: [14][4890/11272] Time 0.741 (1.292) Data 0.002 (0.466) Loss 2.4435 (2.6125) Prec@1 37.500 (36.637) Prec@5 69.375 (67.313) Epoch: [14][4900/11272] Time 1.669 (1.292) Data 0.774 (0.465) Loss 2.6539 (2.6124) Prec@1 36.250 (36.639) Prec@5 67.500 (67.313) Epoch: [14][4910/11272] Time 0.893 (1.291) Data 0.002 (0.465) Loss 2.6525 (2.6124) Prec@1 34.375 (36.640) Prec@5 66.875 (67.313) Epoch: [14][4920/11272] Time 2.927 (1.291) Data 2.139 (0.465) Loss 2.6900 (2.6124) Prec@1 31.875 (36.640) Prec@5 66.875 (67.314) Epoch: [14][4930/11272] Time 0.726 (1.290) Data 0.002 (0.464) Loss 2.9900 (2.6126) Prec@1 29.375 (36.637) Prec@5 60.625 (67.311) Epoch: [14][4940/11272] Time 2.491 (1.290) Data 1.604 (0.464) Loss 2.6891 (2.6127) Prec@1 31.875 (36.635) Prec@5 66.875 (67.310) Epoch: [14][4950/11272] Time 0.887 (1.290) Data 0.001 (0.464) Loss 2.3455 (2.6127) Prec@1 43.125 (36.636) Prec@5 75.000 (67.310) Epoch: [14][4960/11272] Time 0.787 (1.289) Data 0.001 (0.463) Loss 2.4883 (2.6126) Prec@1 41.875 (36.636) Prec@5 69.375 (67.313) Epoch: [14][4970/11272] Time 0.827 (1.289) Data 0.001 (0.463) Loss 2.6628 (2.6127) Prec@1 38.750 (36.633) Prec@5 66.250 (67.312) Epoch: [14][4980/11272] Time 0.874 (1.289) Data 0.001 (0.463) Loss 2.7239 (2.6128) Prec@1 34.375 (36.632) Prec@5 67.500 (67.310) Epoch: [14][4990/11272] Time 0.753 (1.288) Data 0.002 (0.463) Loss 2.4028 (2.6128) Prec@1 33.750 (36.628) Prec@5 70.000 (67.306) Epoch: [14][5000/11272] Time 0.737 (1.288) Data 0.001 (0.462) Loss 2.5295 (2.6128) Prec@1 35.625 (36.626) Prec@5 70.625 (67.306) Epoch: [14][5010/11272] Time 0.880 (1.288) Data 0.001 (0.462) Loss 2.5549 (2.6128) Prec@1 37.500 (36.627) Prec@5 66.875 (67.306) Epoch: [14][5020/11272] Time 1.642 (1.287) Data 0.791 (0.462) Loss 2.5807 (2.6127) Prec@1 37.500 (36.628) Prec@5 68.125 (67.310) Epoch: [14][5030/11272] Time 1.704 (1.287) Data 0.958 (0.461) Loss 2.7356 (2.6129) Prec@1 38.750 (36.623) Prec@5 60.000 (67.305) Epoch: [14][5040/11272] Time 0.777 (1.287) Data 0.001 (0.461) Loss 2.6033 (2.6129) Prec@1 34.375 (36.623) Prec@5 65.000 (67.306) Epoch: [14][5050/11272] Time 0.849 (1.286) Data 0.001 (0.461) Loss 2.7822 (2.6130) Prec@1 36.875 (36.621) Prec@5 64.375 (67.301) Epoch: [14][5060/11272] Time 0.828 (1.286) Data 0.001 (0.460) Loss 2.6324 (2.6131) Prec@1 38.750 (36.620) Prec@5 62.500 (67.300) Epoch: [14][5070/11272] Time 0.711 (1.286) Data 0.001 (0.460) Loss 2.5844 (2.6129) Prec@1 33.125 (36.623) Prec@5 70.000 (67.305) Epoch: [14][5080/11272] Time 0.738 (1.285) Data 0.001 (0.459) Loss 2.8266 (2.6130) Prec@1 31.875 (36.620) Prec@5 63.750 (67.303) Epoch: [14][5090/11272] Time 3.167 (1.285) Data 2.336 (0.460) Loss 2.5962 (2.6130) Prec@1 41.250 (36.621) Prec@5 69.375 (67.303) Epoch: [14][5100/11272] Time 0.800 (1.284) Data 0.002 (0.459) Loss 2.5546 (2.6131) Prec@1 36.250 (36.619) Prec@5 70.000 (67.301) Epoch: [14][5110/11272] Time 0.725 (1.284) Data 0.001 (0.459) Loss 2.4972 (2.6128) Prec@1 39.375 (36.625) Prec@5 69.375 (67.306) Epoch: [14][5120/11272] Time 0.900 (1.283) Data 0.001 (0.458) Loss 2.7093 (2.6128) Prec@1 38.750 (36.626) Prec@5 66.250 (67.306) Epoch: [14][5130/11272] Time 0.874 (1.283) Data 0.001 (0.458) Loss 2.4856 (2.6128) Prec@1 40.625 (36.624) Prec@5 73.125 (67.306) Epoch: [14][5140/11272] Time 2.054 (1.282) Data 1.318 (0.457) Loss 2.5648 (2.6128) Prec@1 34.375 (36.624) Prec@5 67.500 (67.307) Epoch: [14][5150/11272] Time 0.732 (1.282) Data 0.001 (0.457) Loss 2.3088 (2.6128) Prec@1 39.375 (36.623) Prec@5 75.000 (67.305) Epoch: [14][5160/11272] Time 1.293 (1.282) Data 0.407 (0.457) Loss 2.7293 (2.6128) Prec@1 38.125 (36.624) Prec@5 68.125 (67.304) Epoch: [14][5170/11272] Time 0.834 (1.281) Data 0.001 (0.456) Loss 2.7089 (2.6129) Prec@1 31.250 (36.625) Prec@5 67.500 (67.301) Epoch: [14][5180/11272] Time 1.811 (1.281) Data 1.080 (0.456) Loss 2.5477 (2.6130) Prec@1 36.250 (36.622) Prec@5 66.250 (67.300) Epoch: [14][5190/11272] Time 0.718 (1.281) Data 0.002 (0.456) Loss 2.7154 (2.6130) Prec@1 37.500 (36.624) Prec@5 65.000 (67.300) Epoch: [14][5200/11272] Time 0.825 (1.280) Data 0.001 (0.455) Loss 2.5315 (2.6129) Prec@1 38.125 (36.626) Prec@5 70.000 (67.301) Epoch: [14][5210/11272] Time 0.839 (1.280) Data 0.002 (0.455) Loss 2.3885 (2.6129) Prec@1 43.750 (36.627) Prec@5 68.125 (67.300) Epoch: [14][5220/11272] Time 0.719 (1.280) Data 0.001 (0.455) Loss 2.8875 (2.6131) Prec@1 31.250 (36.629) Prec@5 66.875 (67.296) Epoch: [14][5230/11272] Time 0.720 (1.279) Data 0.001 (0.455) Loss 2.5657 (2.6131) Prec@1 39.375 (36.631) Prec@5 68.750 (67.295) Epoch: [14][5240/11272] Time 0.884 (1.279) Data 0.002 (0.454) Loss 2.2894 (2.6130) Prec@1 47.500 (36.634) Prec@5 70.625 (67.297) Epoch: [14][5250/11272] Time 1.766 (1.278) Data 1.006 (0.454) Loss 2.3259 (2.6131) Prec@1 40.625 (36.630) Prec@5 73.125 (67.294) Epoch: [14][5260/11272] Time 0.717 (1.278) Data 0.001 (0.453) Loss 2.5539 (2.6130) Prec@1 38.750 (36.632) Prec@5 71.250 (67.296) Epoch: [14][5270/11272] Time 1.037 (1.277) Data 0.151 (0.453) Loss 2.5513 (2.6131) Prec@1 36.250 (36.628) Prec@5 72.500 (67.294) Epoch: [14][5280/11272] Time 1.562 (1.277) Data 0.713 (0.453) Loss 2.5603 (2.6131) Prec@1 43.125 (36.629) Prec@5 70.625 (67.294) Epoch: [14][5290/11272] Time 0.742 (1.277) Data 0.002 (0.453) Loss 2.7438 (2.6132) Prec@1 32.500 (36.626) Prec@5 64.375 (67.293) Epoch: [14][5300/11272] Time 3.124 (1.277) Data 2.376 (0.452) Loss 2.3548 (2.6130) Prec@1 43.125 (36.629) Prec@5 70.625 (67.296) Epoch: [14][5310/11272] Time 0.913 (1.276) Data 0.002 (0.452) Loss 2.4329 (2.6129) Prec@1 44.375 (36.632) Prec@5 72.500 (67.299) Epoch: [14][5320/11272] Time 0.861 (1.275) Data 0.002 (0.451) Loss 2.5990 (2.6130) Prec@1 38.750 (36.634) Prec@5 61.875 (67.296) Epoch: [14][5330/11272] Time 0.774 (1.275) Data 0.001 (0.451) Loss 2.8551 (2.6131) Prec@1 38.750 (36.634) Prec@5 66.875 (67.295) Epoch: [14][5340/11272] Time 0.734 (1.274) Data 0.002 (0.450) Loss 2.3366 (2.6131) Prec@1 36.250 (36.630) Prec@5 73.125 (67.294) Epoch: [14][5350/11272] Time 1.143 (1.274) Data 0.263 (0.450) Loss 2.3309 (2.6131) Prec@1 40.000 (36.627) Prec@5 75.000 (67.293) Epoch: [14][5360/11272] Time 0.825 (1.273) Data 0.001 (0.449) Loss 2.7237 (2.6130) Prec@1 33.125 (36.627) Prec@5 62.500 (67.292) Epoch: [14][5370/11272] Time 0.728 (1.273) Data 0.001 (0.449) Loss 2.7777 (2.6132) Prec@1 32.500 (36.624) Prec@5 59.375 (67.288) Epoch: [14][5380/11272] Time 1.932 (1.273) Data 1.082 (0.449) Loss 2.8169 (2.6133) Prec@1 35.000 (36.622) Prec@5 63.750 (67.287) Epoch: [14][5390/11272] Time 2.304 (1.272) Data 1.441 (0.449) Loss 2.6585 (2.6134) Prec@1 35.000 (36.621) Prec@5 72.500 (67.285) Epoch: [14][5400/11272] Time 0.781 (1.272) Data 0.028 (0.448) Loss 2.8817 (2.6135) Prec@1 26.875 (36.620) Prec@5 63.125 (67.283) Epoch: [14][5410/11272] Time 0.720 (1.271) Data 0.002 (0.448) Loss 2.6457 (2.6133) Prec@1 37.500 (36.622) Prec@5 65.000 (67.286) Epoch: [14][5420/11272] Time 0.842 (1.271) Data 0.001 (0.447) Loss 2.6448 (2.6132) Prec@1 34.375 (36.624) Prec@5 66.875 (67.290) Epoch: [14][5430/11272] Time 1.096 (1.270) Data 0.222 (0.447) Loss 2.2952 (2.6132) Prec@1 46.250 (36.623) Prec@5 74.375 (67.292) Epoch: [14][5440/11272] Time 0.740 (1.270) Data 0.002 (0.446) Loss 2.6381 (2.6133) Prec@1 43.125 (36.624) Prec@5 66.250 (67.290) Epoch: [14][5450/11272] Time 1.540 (1.270) Data 0.789 (0.446) Loss 2.5650 (2.6133) Prec@1 36.250 (36.622) Prec@5 67.500 (67.291) Epoch: [14][5460/11272] Time 0.880 (1.269) Data 0.002 (0.446) Loss 2.3567 (2.6133) Prec@1 38.750 (36.622) Prec@5 75.000 (67.292) Epoch: [14][5470/11272] Time 0.898 (1.269) Data 0.067 (0.445) Loss 2.7223 (2.6132) Prec@1 38.750 (36.626) Prec@5 64.375 (67.293) Epoch: [14][5480/11272] Time 1.307 (1.269) Data 0.552 (0.445) Loss 2.5288 (2.6131) Prec@1 41.250 (36.629) Prec@5 68.125 (67.297) Epoch: [14][5490/11272] Time 0.759 (1.268) Data 0.001 (0.444) Loss 2.3715 (2.6130) Prec@1 43.125 (36.632) Prec@5 71.875 (67.299) Epoch: [14][5500/11272] Time 0.835 (1.267) Data 0.002 (0.444) Loss 2.3176 (2.6128) Prec@1 43.125 (36.635) Prec@5 71.875 (67.302) Epoch: [14][5510/11272] Time 1.025 (1.267) Data 0.280 (0.444) Loss 2.7530 (2.6128) Prec@1 34.375 (36.634) Prec@5 64.375 (67.300) Epoch: [14][5520/11272] Time 0.726 (1.267) Data 0.002 (0.443) Loss 2.7373 (2.6129) Prec@1 33.750 (36.634) Prec@5 64.375 (67.300) Epoch: [14][5530/11272] Time 1.521 (1.266) Data 0.662 (0.443) Loss 2.8592 (2.6131) Prec@1 34.375 (36.631) Prec@5 63.750 (67.294) Epoch: [14][5540/11272] Time 0.830 (1.266) Data 0.002 (0.442) Loss 2.4054 (2.6131) Prec@1 40.625 (36.631) Prec@5 72.500 (67.295) Epoch: [14][5550/11272] Time 0.731 (1.265) Data 0.018 (0.442) Loss 2.5488 (2.6131) Prec@1 36.875 (36.631) Prec@5 68.750 (67.294) Epoch: [14][5560/11272] Time 1.583 (1.264) Data 0.776 (0.441) Loss 2.7042 (2.6129) Prec@1 35.000 (36.635) Prec@5 68.125 (67.297) Epoch: [14][5570/11272] Time 0.877 (1.264) Data 0.002 (0.441) Loss 2.9752 (2.6129) Prec@1 30.625 (36.638) Prec@5 60.625 (67.298) Epoch: [14][5580/11272] Time 2.113 (1.264) Data 1.285 (0.440) Loss 2.7729 (2.6130) Prec@1 36.875 (36.638) Prec@5 64.375 (67.295) Epoch: [14][5590/11272] Time 0.732 (1.263) Data 0.002 (0.440) Loss 2.7591 (2.6132) Prec@1 36.875 (36.634) Prec@5 63.750 (67.292) Epoch: [14][5600/11272] Time 0.714 (1.262) Data 0.001 (0.440) Loss 2.5729 (2.6132) Prec@1 38.125 (36.636) Prec@5 69.375 (67.291) Epoch: [14][5610/11272] Time 1.495 (1.262) Data 0.643 (0.439) Loss 2.8241 (2.6133) Prec@1 38.125 (36.636) Prec@5 68.125 (67.290) Epoch: [14][5620/11272] Time 0.874 (1.261) Data 0.002 (0.438) Loss 2.8160 (2.6133) Prec@1 34.375 (36.639) Prec@5 64.375 (67.293) Epoch: [14][5630/11272] Time 0.720 (1.261) Data 0.001 (0.438) Loss 2.5634 (2.6133) Prec@1 31.875 (36.636) Prec@5 67.500 (67.291) Epoch: [14][5640/11272] Time 0.832 (1.260) Data 0.001 (0.438) Loss 2.1368 (2.6133) Prec@1 48.750 (36.635) Prec@5 76.875 (67.292) Epoch: [14][5650/11272] Time 0.823 (1.260) Data 0.001 (0.437) Loss 2.7217 (2.6133) Prec@1 33.125 (36.635) Prec@5 61.250 (67.292) Epoch: [14][5660/11272] Time 2.384 (1.260) Data 1.640 (0.437) Loss 2.5385 (2.6132) Prec@1 38.750 (36.637) Prec@5 68.750 (67.293) Epoch: [14][5670/11272] Time 0.746 (1.259) Data 0.002 (0.436) Loss 2.4448 (2.6130) Prec@1 40.000 (36.640) Prec@5 73.125 (67.297) Epoch: [14][5680/11272] Time 0.851 (1.258) Data 0.001 (0.436) Loss 2.8303 (2.6130) Prec@1 35.000 (36.643) Prec@5 65.625 (67.300) Epoch: [14][5690/11272] Time 0.858 (1.258) Data 0.026 (0.435) Loss 2.3448 (2.6130) Prec@1 40.000 (36.645) Prec@5 71.250 (67.298) Epoch: [14][5700/11272] Time 0.735 (1.257) Data 0.002 (0.435) Loss 2.6286 (2.6131) Prec@1 31.875 (36.643) Prec@5 64.375 (67.296) Epoch: [14][5710/11272] Time 1.168 (1.257) Data 0.442 (0.435) Loss 2.5741 (2.6133) Prec@1 38.750 (36.639) Prec@5 69.375 (67.291) Epoch: [14][5720/11272] Time 0.851 (1.256) Data 0.001 (0.434) Loss 2.5934 (2.6133) Prec@1 36.250 (36.638) Prec@5 64.375 (67.291) Epoch: [14][5730/11272] Time 0.874 (1.256) Data 0.002 (0.434) Loss 2.5066 (2.6133) Prec@1 34.375 (36.638) Prec@5 70.625 (67.292) Epoch: [14][5740/11272] Time 0.729 (1.255) Data 0.001 (0.433) Loss 2.6057 (2.6132) Prec@1 38.125 (36.640) Prec@5 65.000 (67.295) Epoch: [14][5750/11272] Time 0.718 (1.255) Data 0.001 (0.432) Loss 2.6669 (2.6130) Prec@1 33.125 (36.642) Prec@5 63.750 (67.299) Epoch: [14][5760/11272] Time 1.508 (1.254) Data 0.635 (0.432) Loss 2.7633 (2.6129) Prec@1 31.250 (36.643) Prec@5 63.125 (67.301) Epoch: [14][5770/11272] Time 0.778 (1.254) Data 0.004 (0.432) Loss 2.8507 (2.6129) Prec@1 34.375 (36.641) Prec@5 61.250 (67.301) Epoch: [14][5780/11272] Time 1.334 (1.253) Data 0.578 (0.431) Loss 2.7962 (2.6131) Prec@1 35.625 (36.640) Prec@5 60.625 (67.297) Epoch: [14][5790/11272] Time 0.840 (1.253) Data 0.002 (0.431) Loss 2.8103 (2.6130) Prec@1 35.000 (36.643) Prec@5 61.875 (67.296) Epoch: [14][5800/11272] Time 1.295 (1.252) Data 0.441 (0.430) Loss 2.4485 (2.6130) Prec@1 34.375 (36.642) Prec@5 71.875 (67.296) Epoch: [14][5810/11272] Time 0.741 (1.252) Data 0.002 (0.430) Loss 2.9441 (2.6131) Prec@1 33.125 (36.642) Prec@5 63.125 (67.293) Epoch: [14][5820/11272] Time 0.747 (1.251) Data 0.003 (0.429) Loss 2.7043 (2.6131) Prec@1 33.750 (36.639) Prec@5 63.750 (67.293) Epoch: [14][5830/11272] Time 0.868 (1.251) Data 0.002 (0.429) Loss 2.8512 (2.6132) Prec@1 33.750 (36.638) Prec@5 63.750 (67.293) Epoch: [14][5840/11272] Time 1.122 (1.250) Data 0.216 (0.428) Loss 2.8350 (2.6133) Prec@1 33.750 (36.637) Prec@5 61.250 (67.292) Epoch: [14][5850/11272] Time 0.722 (1.250) Data 0.001 (0.428) Loss 2.4108 (2.6132) Prec@1 37.500 (36.638) Prec@5 69.375 (67.293) Epoch: [14][5860/11272] Time 2.509 (1.249) Data 1.752 (0.427) Loss 2.7050 (2.6133) Prec@1 34.375 (36.636) Prec@5 63.125 (67.291) Epoch: [14][5870/11272] Time 0.842 (1.249) Data 0.002 (0.427) Loss 2.5427 (2.6133) Prec@1 39.375 (36.637) Prec@5 65.000 (67.292) Epoch: [14][5880/11272] Time 0.851 (1.248) Data 0.001 (0.426) Loss 3.0322 (2.6133) Prec@1 31.875 (36.636) Prec@5 61.875 (67.291) Epoch: [14][5890/11272] Time 0.781 (1.247) Data 0.001 (0.426) Loss 2.3009 (2.6133) Prec@1 46.250 (36.637) Prec@5 74.375 (67.291) Epoch: [14][5900/11272] Time 1.543 (1.247) Data 0.644 (0.425) Loss 2.9439 (2.6134) Prec@1 32.500 (36.636) Prec@5 66.250 (67.289) Epoch: [14][5910/11272] Time 0.814 (1.247) Data 0.001 (0.425) Loss 2.4719 (2.6136) Prec@1 34.375 (36.633) Prec@5 70.625 (67.286) Epoch: [14][5920/11272] Time 0.757 (1.246) Data 0.002 (0.424) Loss 2.5072 (2.6135) Prec@1 38.125 (36.635) Prec@5 66.250 (67.286) Epoch: [14][5930/11272] Time 1.421 (1.246) Data 0.704 (0.424) Loss 2.6166 (2.6135) Prec@1 35.000 (36.634) Prec@5 66.250 (67.285) Epoch: [14][5940/11272] Time 0.840 (1.245) Data 0.002 (0.423) Loss 2.7467 (2.6137) Prec@1 35.000 (36.632) Prec@5 64.375 (67.282) Epoch: [14][5950/11272] Time 1.874 (1.245) Data 0.967 (0.423) Loss 2.7585 (2.6137) Prec@1 34.375 (36.630) Prec@5 65.000 (67.281) Epoch: [14][5960/11272] Time 0.738 (1.244) Data 0.001 (0.423) Loss 2.4988 (2.6136) Prec@1 40.625 (36.631) Prec@5 71.250 (67.282) Epoch: [14][5970/11272] Time 0.937 (1.243) Data 0.198 (0.422) Loss 2.7168 (2.6137) Prec@1 34.375 (36.629) Prec@5 64.375 (67.282) Epoch: [14][5980/11272] Time 0.864 (1.243) Data 0.001 (0.421) Loss 2.5033 (2.6138) Prec@1 40.000 (36.626) Prec@5 70.000 (67.281) Epoch: [14][5990/11272] Time 1.981 (1.242) Data 1.133 (0.421) Loss 2.4074 (2.6138) Prec@1 42.500 (36.623) Prec@5 71.250 (67.283) Epoch: [14][6000/11272] Time 0.730 (1.242) Data 0.001 (0.420) Loss 2.7958 (2.6138) Prec@1 31.875 (36.623) Prec@5 62.500 (67.282) Epoch: [14][6010/11272] Time 0.744 (1.241) Data 0.002 (0.420) Loss 2.4432 (2.6137) Prec@1 37.500 (36.626) Prec@5 68.750 (67.284) Epoch: [14][6020/11272] Time 0.875 (1.241) Data 0.002 (0.419) Loss 2.5118 (2.6137) Prec@1 36.250 (36.628) Prec@5 68.750 (67.285) Epoch: [14][6030/11272] Time 0.940 (1.240) Data 0.093 (0.419) Loss 2.3117 (2.6136) Prec@1 43.750 (36.627) Prec@5 68.125 (67.286) Epoch: [14][6040/11272] Time 0.701 (1.240) Data 0.001 (0.419) Loss 2.6963 (2.6135) Prec@1 31.875 (36.625) Prec@5 66.250 (67.287) Epoch: [14][6050/11272] Time 0.908 (1.239) Data 0.002 (0.418) Loss 2.7616 (2.6135) Prec@1 32.500 (36.624) Prec@5 63.125 (67.291) Epoch: [14][6060/11272] Time 0.841 (1.239) Data 0.001 (0.417) Loss 2.4907 (2.6135) Prec@1 40.000 (36.628) Prec@5 70.625 (67.291) Epoch: [14][6070/11272] Time 0.784 (1.238) Data 0.002 (0.417) Loss 2.6257 (2.6135) Prec@1 40.625 (36.630) Prec@5 63.125 (67.290) Epoch: [14][6080/11272] Time 0.725 (1.238) Data 0.001 (0.416) Loss 2.5269 (2.6134) Prec@1 35.000 (36.633) Prec@5 71.250 (67.293) Epoch: [14][6090/11272] Time 0.821 (1.237) Data 0.001 (0.416) Loss 2.4278 (2.6135) Prec@1 40.625 (36.633) Prec@5 67.500 (67.291) Epoch: [14][6100/11272] Time 1.697 (1.236) Data 0.849 (0.415) Loss 2.5730 (2.6134) Prec@1 33.750 (36.634) Prec@5 68.750 (67.291) Epoch: [14][6110/11272] Time 0.731 (1.236) Data 0.001 (0.415) Loss 2.7608 (2.6133) Prec@1 34.375 (36.636) Prec@5 61.875 (67.291) Epoch: [14][6120/11272] Time 0.773 (1.235) Data 0.001 (0.414) Loss 2.5772 (2.6133) Prec@1 38.125 (36.636) Prec@5 65.000 (67.291) Epoch: [14][6130/11272] Time 0.820 (1.235) Data 0.001 (0.414) Loss 2.5454 (2.6133) Prec@1 38.125 (36.637) Prec@5 66.875 (67.292) Epoch: [14][6140/11272] Time 1.271 (1.235) Data 0.354 (0.414) Loss 2.4730 (2.6133) Prec@1 36.875 (36.639) Prec@5 69.375 (67.292) Epoch: [14][6150/11272] Time 0.726 (1.234) Data 0.002 (0.413) Loss 2.4846 (2.6132) Prec@1 40.000 (36.639) Prec@5 69.375 (67.293) Epoch: [14][6160/11272] Time 0.728 (1.233) Data 0.002 (0.412) Loss 2.4770 (2.6132) Prec@1 40.625 (36.638) Prec@5 71.250 (67.295) Epoch: [14][6170/11272] Time 0.840 (1.233) Data 0.002 (0.412) Loss 2.5592 (2.6132) Prec@1 36.875 (36.638) Prec@5 68.750 (67.296) Epoch: [14][6180/11272] Time 0.728 (1.232) Data 0.001 (0.412) Loss 2.7010 (2.6132) Prec@1 37.500 (36.639) Prec@5 70.625 (67.294) Epoch: [14][6190/11272] Time 1.033 (1.232) Data 0.289 (0.411) Loss 2.6361 (2.6133) Prec@1 31.875 (36.636) Prec@5 66.250 (67.291) Epoch: [14][6200/11272] Time 1.423 (1.231) Data 0.574 (0.411) Loss 2.7238 (2.6133) Prec@1 35.000 (36.639) Prec@5 65.625 (67.293) Epoch: [14][6210/11272] Time 1.474 (1.231) Data 0.623 (0.410) Loss 2.3873 (2.6134) Prec@1 36.875 (36.634) Prec@5 70.000 (67.290) Epoch: [14][6220/11272] Time 0.728 (1.230) Data 0.002 (0.410) Loss 2.6680 (2.6134) Prec@1 36.875 (36.634) Prec@5 65.000 (67.288) Epoch: [14][6230/11272] Time 1.565 (1.230) Data 0.813 (0.409) Loss 2.5800 (2.6135) Prec@1 39.375 (36.635) Prec@5 66.875 (67.286) Epoch: [14][6240/11272] Time 0.879 (1.229) Data 0.002 (0.409) Loss 2.5551 (2.6136) Prec@1 42.500 (36.634) Prec@5 71.250 (67.283) Epoch: [14][6250/11272] Time 0.950 (1.229) Data 0.015 (0.408) Loss 2.6530 (2.6136) Prec@1 38.750 (36.634) Prec@5 67.500 (67.282) Epoch: [14][6260/11272] Time 0.726 (1.228) Data 0.002 (0.408) Loss 2.7470 (2.6137) Prec@1 36.875 (36.634) Prec@5 62.500 (67.281) Epoch: [14][6270/11272] Time 0.758 (1.228) Data 0.002 (0.407) Loss 2.3687 (2.6136) Prec@1 43.125 (36.637) Prec@5 70.000 (67.283) Epoch: [14][6280/11272] Time 0.873 (1.227) Data 0.002 (0.407) Loss 2.7584 (2.6136) Prec@1 35.625 (36.636) Prec@5 60.625 (67.282) Epoch: [14][6290/11272] Time 0.805 (1.227) Data 0.001 (0.406) Loss 2.4741 (2.6136) Prec@1 39.375 (36.633) Prec@5 73.750 (67.282) Epoch: [14][6300/11272] Time 0.734 (1.226) Data 0.002 (0.406) Loss 2.6777 (2.6136) Prec@1 33.125 (36.636) Prec@5 66.875 (67.282) Epoch: [14][6310/11272] Time 0.930 (1.226) Data 0.002 (0.405) Loss 2.5578 (2.6136) Prec@1 33.750 (36.633) Prec@5 69.375 (67.282) Epoch: [14][6320/11272] Time 1.141 (1.225) Data 0.274 (0.405) Loss 2.6627 (2.6135) Prec@1 38.125 (36.635) Prec@5 69.375 (67.284) Epoch: [14][6330/11272] Time 0.771 (1.225) Data 0.001 (0.404) Loss 2.4603 (2.6135) Prec@1 36.875 (36.632) Prec@5 65.000 (67.284) Epoch: [14][6340/11272] Time 0.738 (1.224) Data 0.002 (0.404) Loss 2.5614 (2.6135) Prec@1 36.250 (36.632) Prec@5 68.125 (67.285) Epoch: [14][6350/11272] Time 1.676 (1.224) Data 0.817 (0.403) Loss 2.7986 (2.6134) Prec@1 32.500 (36.634) Prec@5 64.375 (67.288) Epoch: [14][6360/11272] Time 0.848 (1.223) Data 0.010 (0.403) Loss 2.8026 (2.6134) Prec@1 35.625 (36.633) Prec@5 65.625 (67.288) Epoch: [14][6370/11272] Time 0.763 (1.222) Data 0.002 (0.402) Loss 2.5634 (2.6134) Prec@1 33.750 (36.632) Prec@5 69.375 (67.287) Epoch: [14][6380/11272] Time 1.258 (1.222) Data 0.509 (0.402) Loss 2.6081 (2.6136) Prec@1 42.500 (36.630) Prec@5 69.375 (67.284) Epoch: [14][6390/11272] Time 0.880 (1.221) Data 0.002 (0.401) Loss 2.7036 (2.6136) Prec@1 35.625 (36.628) Prec@5 68.125 (67.284) Epoch: [14][6400/11272] Time 0.836 (1.221) Data 0.001 (0.401) Loss 2.7518 (2.6136) Prec@1 39.375 (36.632) Prec@5 63.750 (67.285) Epoch: [14][6410/11272] Time 1.856 (1.220) Data 1.043 (0.400) Loss 2.6174 (2.6136) Prec@1 38.125 (36.631) Prec@5 62.500 (67.282) Epoch: [14][6420/11272] Time 0.718 (1.220) Data 0.002 (0.400) Loss 2.9516 (2.6135) Prec@1 31.875 (36.633) Prec@5 60.000 (67.284) Epoch: [14][6430/11272] Time 1.052 (1.219) Data 0.138 (0.399) Loss 2.4610 (2.6135) Prec@1 42.500 (36.636) Prec@5 68.750 (67.284) Epoch: [14][6440/11272] Time 0.756 (1.219) Data 0.004 (0.399) Loss 2.6294 (2.6135) Prec@1 36.250 (36.637) Prec@5 65.625 (67.285) Epoch: [14][6450/11272] Time 1.402 (1.218) Data 0.576 (0.398) Loss 2.7620 (2.6135) Prec@1 34.375 (36.636) Prec@5 61.250 (67.284) Epoch: [14][6460/11272] Time 0.886 (1.218) Data 0.001 (0.398) Loss 2.7408 (2.6136) Prec@1 28.750 (36.634) Prec@5 61.875 (67.281) Epoch: [14][6470/11272] Time 0.875 (1.217) Data 0.002 (0.397) Loss 2.6438 (2.6137) Prec@1 37.500 (36.633) Prec@5 66.875 (67.280) Epoch: [14][6480/11272] Time 0.714 (1.216) Data 0.001 (0.397) Loss 2.6722 (2.6136) Prec@1 36.250 (36.634) Prec@5 66.250 (67.281) Epoch: [14][6490/11272] Time 0.761 (1.216) Data 0.002 (0.396) Loss 2.6955 (2.6136) Prec@1 36.250 (36.636) Prec@5 66.875 (67.282) Epoch: [14][6500/11272] Time 0.883 (1.215) Data 0.002 (0.395) Loss 2.4919 (2.6136) Prec@1 43.750 (36.638) Prec@5 65.625 (67.282) Epoch: [14][6510/11272] Time 0.867 (1.215) Data 0.002 (0.395) Loss 2.5856 (2.6135) Prec@1 38.750 (36.639) Prec@5 70.000 (67.283) Epoch: [14][6520/11272] Time 0.736 (1.214) Data 0.002 (0.394) Loss 2.8068 (2.6135) Prec@1 34.375 (36.637) Prec@5 62.500 (67.283) Epoch: [14][6530/11272] Time 0.727 (1.214) Data 0.002 (0.394) Loss 2.7626 (2.6136) Prec@1 34.375 (36.635) Prec@5 67.500 (67.282) Epoch: [14][6540/11272] Time 0.926 (1.213) Data 0.002 (0.393) Loss 2.5908 (2.6136) Prec@1 41.250 (36.636) Prec@5 68.125 (67.282) Epoch: [14][6550/11272] Time 1.048 (1.212) Data 0.139 (0.393) Loss 2.4190 (2.6136) Prec@1 36.250 (36.634) Prec@5 71.250 (67.284) Epoch: [14][6560/11272] Time 0.718 (1.212) Data 0.002 (0.392) Loss 2.5688 (2.6135) Prec@1 34.375 (36.637) Prec@5 71.250 (67.286) Epoch: [14][6570/11272] Time 0.830 (1.211) Data 0.001 (0.392) Loss 2.4658 (2.6134) Prec@1 38.125 (36.636) Prec@5 67.500 (67.286) Epoch: [14][6580/11272] Time 0.883 (1.211) Data 0.002 (0.391) Loss 2.7917 (2.6135) Prec@1 35.000 (36.638) Prec@5 64.375 (67.285) Epoch: [14][6590/11272] Time 0.734 (1.210) Data 0.001 (0.391) Loss 2.4468 (2.6135) Prec@1 41.875 (36.638) Prec@5 71.250 (67.285) Epoch: [14][6600/11272] Time 0.884 (1.210) Data 0.118 (0.390) Loss 2.7724 (2.6134) Prec@1 31.250 (36.639) Prec@5 63.750 (67.284) Epoch: [14][6610/11272] Time 0.839 (1.209) Data 0.001 (0.389) Loss 2.4868 (2.6134) Prec@1 38.750 (36.638) Prec@5 73.750 (67.285) Epoch: [14][6620/11272] Time 0.881 (1.209) Data 0.002 (0.389) Loss 2.6389 (2.6134) Prec@1 40.625 (36.640) Prec@5 69.375 (67.287) Epoch: [14][6630/11272] Time 0.955 (1.208) Data 0.198 (0.389) Loss 2.6091 (2.6135) Prec@1 36.875 (36.638) Prec@5 64.375 (67.286) Epoch: [14][6640/11272] Time 0.762 (1.207) Data 0.002 (0.388) Loss 2.7169 (2.6135) Prec@1 31.250 (36.638) Prec@5 64.375 (67.287) Epoch: [14][6650/11272] Time 1.106 (1.207) Data 0.211 (0.388) Loss 2.5749 (2.6136) Prec@1 34.375 (36.635) Prec@5 68.750 (67.284) Epoch: [14][6660/11272] Time 0.848 (1.206) Data 0.001 (0.387) Loss 2.6706 (2.6138) Prec@1 38.750 (36.634) Prec@5 66.875 (67.283) Epoch: [14][6670/11272] Time 0.723 (1.206) Data 0.001 (0.386) Loss 2.4588 (2.6137) Prec@1 40.000 (36.633) Prec@5 70.625 (67.283) Epoch: [14][6680/11272] Time 0.729 (1.205) Data 0.002 (0.386) Loss 2.6487 (2.6138) Prec@1 36.250 (36.633) Prec@5 65.000 (67.282) Epoch: [14][6690/11272] Time 0.826 (1.205) Data 0.002 (0.385) Loss 2.6841 (2.6138) Prec@1 31.250 (36.632) Prec@5 70.625 (67.282) Epoch: [14][6700/11272] Time 0.748 (1.204) Data 0.004 (0.385) Loss 2.4724 (2.6138) Prec@1 38.750 (36.634) Prec@5 68.125 (67.283) Epoch: [14][6710/11272] Time 0.746 (1.204) Data 0.002 (0.384) Loss 2.8121 (2.6139) Prec@1 26.875 (36.634) Prec@5 65.625 (67.281) Epoch: [14][6720/11272] Time 0.858 (1.203) Data 0.002 (0.384) Loss 2.3971 (2.6138) Prec@1 41.875 (36.635) Prec@5 71.250 (67.284) Epoch: [14][6730/11272] Time 0.846 (1.202) Data 0.001 (0.383) Loss 2.7632 (2.6138) Prec@1 35.625 (36.636) Prec@5 63.125 (67.283) Epoch: [14][6740/11272] Time 0.722 (1.202) Data 0.001 (0.383) Loss 2.4003 (2.6137) Prec@1 41.250 (36.637) Prec@5 68.750 (67.283) Epoch: [14][6750/11272] Time 0.752 (1.201) Data 0.002 (0.382) Loss 2.6828 (2.6137) Prec@1 33.125 (36.635) Prec@5 65.625 (67.283) Epoch: [14][6760/11272] Time 0.838 (1.201) Data 0.001 (0.382) Loss 2.1913 (2.6136) Prec@1 45.000 (36.636) Prec@5 78.750 (67.285) Epoch: [14][6770/11272] Time 0.842 (1.200) Data 0.001 (0.381) Loss 2.7427 (2.6136) Prec@1 35.000 (36.637) Prec@5 66.875 (67.285) Epoch: [14][6780/11272] Time 0.779 (1.200) Data 0.002 (0.380) Loss 2.6676 (2.6135) Prec@1 36.250 (36.636) Prec@5 66.250 (67.286) Epoch: [14][6790/11272] Time 0.746 (1.199) Data 0.002 (0.380) Loss 2.5125 (2.6137) Prec@1 38.750 (36.634) Prec@5 71.250 (67.283) Epoch: [14][6800/11272] Time 0.870 (1.199) Data 0.002 (0.379) Loss 2.7908 (2.6138) Prec@1 31.875 (36.634) Prec@5 63.750 (67.282) Epoch: [14][6810/11272] Time 0.826 (1.198) Data 0.002 (0.379) Loss 2.6770 (2.6138) Prec@1 36.250 (36.635) Prec@5 66.875 (67.282) Epoch: [14][6820/11272] Time 0.734 (1.197) Data 0.002 (0.378) Loss 2.5167 (2.6137) Prec@1 35.625 (36.634) Prec@5 64.375 (67.280) Epoch: [14][6830/11272] Time 0.884 (1.197) Data 0.002 (0.378) Loss 2.5270 (2.6137) Prec@1 39.375 (36.636) Prec@5 66.875 (67.279) Epoch: [14][6840/11272] Time 0.901 (1.196) Data 0.002 (0.377) Loss 2.8345 (2.6136) Prec@1 28.125 (36.635) Prec@5 62.500 (67.278) Epoch: [14][6850/11272] Time 0.783 (1.196) Data 0.002 (0.377) Loss 2.6702 (2.6137) Prec@1 32.500 (36.632) Prec@5 65.625 (67.278) Epoch: [14][6860/11272] Time 0.755 (1.195) Data 0.002 (0.376) Loss 2.7652 (2.6137) Prec@1 33.750 (36.633) Prec@5 64.375 (67.277) Epoch: [14][6870/11272] Time 0.893 (1.195) Data 0.001 (0.376) Loss 2.4994 (2.6138) Prec@1 43.125 (36.633) Prec@5 70.625 (67.275) Epoch: [14][6880/11272] Time 0.855 (1.194) Data 0.002 (0.375) Loss 2.8505 (2.6138) Prec@1 31.250 (36.631) Prec@5 62.500 (67.273) Epoch: [14][6890/11272] Time 0.746 (1.193) Data 0.002 (0.375) Loss 2.4625 (2.6137) Prec@1 43.750 (36.634) Prec@5 71.875 (67.276) Epoch: [14][6900/11272] Time 0.772 (1.193) Data 0.002 (0.374) Loss 2.4441 (2.6137) Prec@1 34.375 (36.633) Prec@5 75.000 (67.278) Epoch: [14][6910/11272] Time 0.870 (1.192) Data 0.001 (0.373) Loss 2.8355 (2.6138) Prec@1 30.000 (36.630) Prec@5 65.625 (67.276) Epoch: [14][6920/11272] Time 0.879 (1.192) Data 0.001 (0.373) Loss 2.5603 (2.6137) Prec@1 40.000 (36.632) Prec@5 70.000 (67.277) Epoch: [14][6930/11272] Time 0.761 (1.191) Data 0.002 (0.372) Loss 2.3819 (2.6138) Prec@1 36.250 (36.631) Prec@5 73.750 (67.273) Epoch: [14][6940/11272] Time 0.731 (1.191) Data 0.002 (0.372) Loss 2.4198 (2.6137) Prec@1 36.875 (36.631) Prec@5 69.375 (67.275) Epoch: [14][6950/11272] Time 0.882 (1.190) Data 0.001 (0.371) Loss 2.5286 (2.6137) Prec@1 40.000 (36.631) Prec@5 69.375 (67.274) Epoch: [14][6960/11272] Time 0.818 (1.190) Data 0.002 (0.371) Loss 2.5273 (2.6138) Prec@1 37.500 (36.631) Prec@5 67.500 (67.273) Epoch: [14][6970/11272] Time 0.718 (1.189) Data 0.001 (0.370) Loss 2.6193 (2.6138) Prec@1 35.000 (36.632) Prec@5 66.875 (67.272) Epoch: [14][6980/11272] Time 0.937 (1.188) Data 0.001 (0.370) Loss 2.6179 (2.6137) Prec@1 36.250 (36.636) Prec@5 68.125 (67.275) Epoch: [14][6990/11272] Time 0.835 (1.188) Data 0.002 (0.369) Loss 2.7757 (2.6136) Prec@1 28.750 (36.637) Prec@5 66.875 (67.276) Epoch: [14][7000/11272] Time 0.740 (1.187) Data 0.002 (0.369) Loss 2.6115 (2.6136) Prec@1 41.250 (36.639) Prec@5 65.000 (67.277) Epoch: [14][7010/11272] Time 0.708 (1.187) Data 0.001 (0.368) Loss 2.6289 (2.6136) Prec@1 37.500 (36.641) Prec@5 70.625 (67.278) Epoch: [14][7020/11272] Time 0.862 (1.186) Data 0.002 (0.368) Loss 2.4549 (2.6136) Prec@1 43.750 (36.641) Prec@5 66.250 (67.275) Epoch: [14][7030/11272] Time 0.920 (1.186) Data 0.002 (0.367) Loss 2.6962 (2.6137) Prec@1 38.125 (36.642) Prec@5 62.500 (67.273) Epoch: [14][7040/11272] Time 0.761 (1.185) Data 0.002 (0.367) Loss 2.7590 (2.6137) Prec@1 36.875 (36.642) Prec@5 67.500 (67.272) Epoch: [14][7050/11272] Time 0.736 (1.185) Data 0.003 (0.366) Loss 2.7240 (2.6137) Prec@1 36.875 (36.643) Prec@5 62.500 (67.270) Epoch: [14][7060/11272] Time 0.892 (1.184) Data 0.001 (0.366) Loss 2.7682 (2.6138) Prec@1 33.125 (36.642) Prec@5 70.000 (67.271) Epoch: [14][7070/11272] Time 0.853 (1.184) Data 0.002 (0.365) Loss 2.5234 (2.6137) Prec@1 40.000 (36.641) Prec@5 70.000 (67.272) Epoch: [14][7080/11272] Time 0.749 (1.183) Data 0.002 (0.365) Loss 2.6231 (2.6138) Prec@1 33.750 (36.642) Prec@5 65.625 (67.272) Epoch: [14][7090/11272] Time 0.715 (1.182) Data 0.001 (0.364) Loss 2.1817 (2.6136) Prec@1 44.375 (36.644) Prec@5 73.125 (67.273) Epoch: [14][7100/11272] Time 0.863 (1.182) Data 0.001 (0.364) Loss 2.2568 (2.6136) Prec@1 38.125 (36.645) Prec@5 73.750 (67.273) Epoch: [14][7110/11272] Time 0.753 (1.181) Data 0.001 (0.363) Loss 2.4149 (2.6135) Prec@1 41.875 (36.644) Prec@5 70.625 (67.276) Epoch: [14][7120/11272] Time 0.757 (1.181) Data 0.002 (0.362) Loss 2.2752 (2.6135) Prec@1 42.500 (36.643) Prec@5 71.875 (67.276) Epoch: [14][7130/11272] Time 0.855 (1.180) Data 0.002 (0.362) Loss 2.6569 (2.6136) Prec@1 31.875 (36.639) Prec@5 64.375 (67.273) Epoch: [14][7140/11272] Time 0.830 (1.180) Data 0.001 (0.361) Loss 2.6118 (2.6136) Prec@1 41.250 (36.640) Prec@5 61.875 (67.273) Epoch: [14][7150/11272] Time 0.764 (1.179) Data 0.002 (0.361) Loss 2.5793 (2.6135) Prec@1 36.250 (36.643) Prec@5 66.875 (67.275) Epoch: [14][7160/11272] Time 0.753 (1.179) Data 0.001 (0.360) Loss 2.9636 (2.6135) Prec@1 28.750 (36.644) Prec@5 65.000 (67.276) Epoch: [14][7170/11272] Time 0.859 (1.178) Data 0.002 (0.360) Loss 2.5314 (2.6135) Prec@1 38.750 (36.640) Prec@5 69.375 (67.275) Epoch: [14][7180/11272] Time 0.796 (1.178) Data 0.001 (0.359) Loss 2.5588 (2.6135) Prec@1 35.625 (36.640) Prec@5 69.375 (67.274) Epoch: [14][7190/11272] Time 0.726 (1.177) Data 0.001 (0.359) Loss 2.5226 (2.6136) Prec@1 35.000 (36.637) Prec@5 66.250 (67.273) Epoch: [14][7200/11272] Time 0.738 (1.177) Data 0.001 (0.358) Loss 2.7045 (2.6136) Prec@1 35.000 (36.638) Prec@5 65.000 (67.273) Epoch: [14][7210/11272] Time 0.851 (1.176) Data 0.001 (0.358) Loss 2.6612 (2.6136) Prec@1 36.250 (36.639) Prec@5 65.625 (67.274) Epoch: [14][7220/11272] Time 0.871 (1.176) Data 0.002 (0.357) Loss 2.4426 (2.6136) Prec@1 38.125 (36.636) Prec@5 72.500 (67.274) Epoch: [14][7230/11272] Time 0.749 (1.175) Data 0.002 (0.357) Loss 2.8370 (2.6138) Prec@1 33.750 (36.634) Prec@5 63.750 (67.271) Epoch: [14][7240/11272] Time 0.868 (1.175) Data 0.001 (0.357) Loss 2.8306 (2.6137) Prec@1 30.000 (36.634) Prec@5 59.375 (67.271) Epoch: [14][7250/11272] Time 0.885 (1.174) Data 0.002 (0.356) Loss 2.7442 (2.6137) Prec@1 38.750 (36.636) Prec@5 66.875 (67.272) Epoch: [14][7260/11272] Time 0.718 (1.174) Data 0.001 (0.356) Loss 2.5334 (2.6136) Prec@1 36.875 (36.635) Prec@5 72.500 (67.274) Epoch: [14][7270/11272] Time 0.735 (1.173) Data 0.002 (0.355) Loss 2.5967 (2.6136) Prec@1 37.500 (36.635) Prec@5 63.125 (67.273) Epoch: [14][7280/11272] Time 0.867 (1.173) Data 0.001 (0.355) Loss 2.6700 (2.6136) Prec@1 32.500 (36.635) Prec@5 69.375 (67.275) Epoch: [14][7290/11272] Time 0.886 (1.172) Data 0.002 (0.354) Loss 2.6555 (2.6136) Prec@1 33.125 (36.635) Prec@5 67.500 (67.276) Epoch: [14][7300/11272] Time 0.721 (1.172) Data 0.002 (0.354) Loss 2.6909 (2.6135) Prec@1 39.375 (36.636) Prec@5 64.375 (67.275) Epoch: [14][7310/11272] Time 0.766 (1.171) Data 0.001 (0.353) Loss 2.7331 (2.6136) Prec@1 31.250 (36.633) Prec@5 59.375 (67.274) Epoch: [14][7320/11272] Time 0.889 (1.171) Data 0.002 (0.353) Loss 2.5540 (2.6137) Prec@1 37.500 (36.632) Prec@5 70.625 (67.273) Epoch: [14][7330/11272] Time 0.837 (1.170) Data 0.002 (0.352) Loss 2.4313 (2.6138) Prec@1 41.250 (36.630) Prec@5 73.125 (67.270) Epoch: [14][7340/11272] Time 0.743 (1.170) Data 0.001 (0.352) Loss 2.4370 (2.6138) Prec@1 42.500 (36.632) Prec@5 70.625 (67.271) Epoch: [14][7350/11272] Time 0.749 (1.169) Data 0.002 (0.351) Loss 2.9639 (2.6139) Prec@1 30.000 (36.630) Prec@5 57.500 (67.270) Epoch: [14][7360/11272] Time 0.881 (1.169) Data 0.001 (0.351) Loss 2.5678 (2.6139) Prec@1 33.750 (36.627) Prec@5 69.375 (67.268) Epoch: [14][7370/11272] Time 0.733 (1.168) Data 0.003 (0.350) Loss 2.6926 (2.6140) Prec@1 36.250 (36.625) Prec@5 66.250 (67.266) Epoch: [14][7380/11272] Time 0.728 (1.168) Data 0.001 (0.350) Loss 2.8721 (2.6141) Prec@1 30.000 (36.626) Prec@5 65.000 (67.267) Epoch: [14][7390/11272] Time 0.907 (1.167) Data 0.002 (0.349) Loss 2.8751 (2.6141) Prec@1 32.500 (36.626) Prec@5 64.375 (67.268) Epoch: [14][7400/11272] Time 0.861 (1.167) Data 0.001 (0.349) Loss 2.5926 (2.6141) Prec@1 31.250 (36.624) Prec@5 70.625 (67.268) Epoch: [14][7410/11272] Time 0.737 (1.166) Data 0.002 (0.348) Loss 2.5935 (2.6140) Prec@1 34.375 (36.624) Prec@5 68.125 (67.268) Epoch: [14][7420/11272] Time 0.744 (1.166) Data 0.001 (0.348) Loss 2.6045 (2.6141) Prec@1 35.000 (36.622) Prec@5 63.750 (67.267) Epoch: [14][7430/11272] Time 0.857 (1.165) Data 0.002 (0.347) Loss 2.5698 (2.6141) Prec@1 35.625 (36.623) Prec@5 70.625 (67.269) Epoch: [14][7440/11272] Time 0.852 (1.165) Data 0.002 (0.347) Loss 2.5789 (2.6140) Prec@1 35.000 (36.622) Prec@5 66.250 (67.271) Epoch: [14][7450/11272] Time 0.757 (1.164) Data 0.002 (0.347) Loss 2.8603 (2.6140) Prec@1 28.750 (36.621) Prec@5 61.250 (67.272) Epoch: [14][7460/11272] Time 0.746 (1.164) Data 0.002 (0.346) Loss 2.5729 (2.6140) Prec@1 41.875 (36.624) Prec@5 68.125 (67.271) Epoch: [14][7470/11272] Time 0.861 (1.163) Data 0.002 (0.346) Loss 2.7360 (2.6140) Prec@1 36.250 (36.622) Prec@5 62.500 (67.269) Epoch: [14][7480/11272] Time 0.869 (1.163) Data 0.002 (0.345) Loss 2.8312 (2.6141) Prec@1 36.875 (36.622) Prec@5 64.375 (67.269) Epoch: [14][7490/11272] Time 0.719 (1.162) Data 0.001 (0.345) Loss 2.5361 (2.6141) Prec@1 37.500 (36.621) Prec@5 68.750 (67.266) Epoch: [14][7500/11272] Time 0.860 (1.162) Data 0.002 (0.344) Loss 2.6488 (2.6141) Prec@1 34.375 (36.622) Prec@5 65.625 (67.266) Epoch: [14][7510/11272] Time 0.880 (1.161) Data 0.001 (0.344) Loss 2.5126 (2.6141) Prec@1 37.500 (36.621) Prec@5 68.125 (67.266) Epoch: [14][7520/11272] Time 0.783 (1.161) Data 0.001 (0.343) Loss 2.5620 (2.6139) Prec@1 39.375 (36.626) Prec@5 68.125 (67.271) Epoch: [14][7530/11272] Time 0.763 (1.160) Data 0.002 (0.343) Loss 2.6683 (2.6139) Prec@1 32.500 (36.625) Prec@5 64.375 (67.272) Epoch: [14][7540/11272] Time 0.848 (1.160) Data 0.001 (0.342) Loss 2.4445 (2.6139) Prec@1 41.875 (36.625) Prec@5 70.000 (67.272) Epoch: [14][7550/11272] Time 0.839 (1.159) Data 0.001 (0.342) Loss 2.4922 (2.6138) Prec@1 37.500 (36.628) Prec@5 70.625 (67.275) Epoch: [14][7560/11272] Time 0.762 (1.159) Data 0.002 (0.341) Loss 2.6119 (2.6137) Prec@1 34.375 (36.630) Prec@5 63.750 (67.276) Epoch: [14][7570/11272] Time 0.736 (1.158) Data 0.002 (0.341) Loss 2.6198 (2.6138) Prec@1 28.750 (36.628) Prec@5 70.000 (67.274) Epoch: [14][7580/11272] Time 0.865 (1.158) Data 0.002 (0.341) Loss 2.7834 (2.6139) Prec@1 34.375 (36.625) Prec@5 61.875 (67.272) Epoch: [14][7590/11272] Time 0.854 (1.158) Data 0.001 (0.340) Loss 3.1076 (2.6140) Prec@1 31.250 (36.625) Prec@5 60.000 (67.271) Epoch: [14][7600/11272] Time 0.751 (1.157) Data 0.002 (0.340) Loss 2.6400 (2.6139) Prec@1 39.375 (36.626) Prec@5 68.750 (67.272) Epoch: [14][7610/11272] Time 0.770 (1.157) Data 0.002 (0.339) Loss 2.4342 (2.6138) Prec@1 38.750 (36.626) Prec@5 68.750 (67.273) Epoch: [14][7620/11272] Time 0.848 (1.156) Data 0.002 (0.339) Loss 2.6153 (2.6138) Prec@1 31.875 (36.626) Prec@5 68.750 (67.273) Epoch: [14][7630/11272] Time 0.740 (1.156) Data 0.003 (0.338) Loss 2.6507 (2.6139) Prec@1 40.000 (36.625) Prec@5 63.750 (67.272) Epoch: [14][7640/11272] Time 0.729 (1.155) Data 0.001 (0.338) Loss 2.6221 (2.6139) Prec@1 33.125 (36.623) Prec@5 74.375 (67.273) Epoch: [14][7650/11272] Time 0.841 (1.155) Data 0.002 (0.337) Loss 2.5275 (2.6139) Prec@1 40.625 (36.625) Prec@5 71.875 (67.272) Epoch: [14][7660/11272] Time 0.877 (1.154) Data 0.001 (0.337) Loss 2.8574 (2.6138) Prec@1 35.000 (36.626) Prec@5 65.625 (67.275) Epoch: [14][7670/11272] Time 0.729 (1.154) Data 0.001 (0.337) Loss 2.5455 (2.6139) Prec@1 36.875 (36.626) Prec@5 67.500 (67.274) Epoch: [14][7680/11272] Time 0.728 (1.153) Data 0.002 (0.336) Loss 2.6013 (2.6138) Prec@1 40.625 (36.628) Prec@5 64.375 (67.275) Epoch: [14][7690/11272] Time 0.854 (1.153) Data 0.001 (0.336) Loss 2.9062 (2.6137) Prec@1 27.500 (36.631) Prec@5 66.875 (67.277) Epoch: [14][7700/11272] Time 0.827 (1.152) Data 0.001 (0.335) Loss 2.6519 (2.6138) Prec@1 31.250 (36.631) Prec@5 68.750 (67.275) Epoch: [14][7710/11272] Time 0.731 (1.152) Data 0.001 (0.335) Loss 2.7736 (2.6137) Prec@1 36.250 (36.629) Prec@5 63.125 (67.276) Epoch: [14][7720/11272] Time 0.703 (1.152) Data 0.002 (0.334) Loss 2.5241 (2.6137) Prec@1 38.750 (36.630) Prec@5 71.250 (67.275) Epoch: [14][7730/11272] Time 0.855 (1.151) Data 0.001 (0.334) Loss 2.5348 (2.6137) Prec@1 43.125 (36.629) Prec@5 73.125 (67.275) Epoch: [14][7740/11272] Time 0.896 (1.151) Data 0.002 (0.334) Loss 2.6467 (2.6137) Prec@1 37.500 (36.631) Prec@5 68.125 (67.277) Epoch: [14][7750/11272] Time 0.783 (1.150) Data 0.002 (0.333) Loss 2.5309 (2.6137) Prec@1 35.000 (36.632) Prec@5 69.375 (67.276) Epoch: [14][7760/11272] Time 0.893 (1.150) Data 0.002 (0.333) Loss 2.7611 (2.6136) Prec@1 34.375 (36.635) Prec@5 63.125 (67.277) Epoch: [14][7770/11272] Time 0.896 (1.149) Data 0.002 (0.332) Loss 2.7257 (2.6136) Prec@1 38.125 (36.635) Prec@5 66.250 (67.275) Epoch: [14][7780/11272] Time 0.758 (1.149) Data 0.002 (0.332) Loss 2.7494 (2.6137) Prec@1 32.500 (36.634) Prec@5 62.500 (67.274) Epoch: [14][7790/11272] Time 0.733 (1.148) Data 0.002 (0.331) Loss 2.5785 (2.6137) Prec@1 37.500 (36.631) Prec@5 63.750 (67.273) Epoch: [14][7800/11272] Time 0.891 (1.148) Data 0.002 (0.331) Loss 2.7924 (2.6137) Prec@1 33.750 (36.630) Prec@5 64.375 (67.272) Epoch: [14][7810/11272] Time 0.847 (1.148) Data 0.002 (0.331) Loss 2.7391 (2.6137) Prec@1 33.750 (36.632) Prec@5 63.750 (67.273) Epoch: [14][7820/11272] Time 0.734 (1.147) Data 0.002 (0.330) Loss 2.5208 (2.6136) Prec@1 38.750 (36.633) Prec@5 69.375 (67.273) Epoch: [14][7830/11272] Time 0.739 (1.147) Data 0.002 (0.330) Loss 2.5412 (2.6136) Prec@1 35.625 (36.633) Prec@5 73.750 (67.274) Epoch: [14][7840/11272] Time 0.843 (1.146) Data 0.001 (0.329) Loss 2.4370 (2.6136) Prec@1 43.125 (36.632) Prec@5 69.375 (67.275) Epoch: [14][7850/11272] Time 0.895 (1.146) Data 0.002 (0.329) Loss 2.4685 (2.6135) Prec@1 40.000 (36.633) Prec@5 69.375 (67.276) Epoch: [14][7860/11272] Time 0.770 (1.145) Data 0.002 (0.329) Loss 2.5421 (2.6134) Prec@1 45.000 (36.636) Prec@5 64.375 (67.278) Epoch: [14][7870/11272] Time 0.747 (1.145) Data 0.002 (0.328) Loss 2.7025 (2.6134) Prec@1 36.875 (36.636) Prec@5 61.875 (67.277) Epoch: [14][7880/11272] Time 0.863 (1.145) Data 0.002 (0.328) Loss 2.7397 (2.6135) Prec@1 38.125 (36.636) Prec@5 62.500 (67.274) Epoch: [14][7890/11272] Time 0.836 (1.144) Data 0.001 (0.327) Loss 2.6089 (2.6135) Prec@1 38.125 (36.634) Prec@5 68.750 (67.273) Epoch: [14][7900/11272] Time 0.748 (1.144) Data 0.002 (0.327) Loss 2.7339 (2.6134) Prec@1 30.625 (36.634) Prec@5 63.750 (67.277) Epoch: [14][7910/11272] Time 0.844 (1.143) Data 0.002 (0.326) Loss 2.6337 (2.6134) Prec@1 36.875 (36.634) Prec@5 68.125 (67.277) Epoch: [14][7920/11272] Time 0.824 (1.143) Data 0.002 (0.326) Loss 2.4937 (2.6133) Prec@1 43.750 (36.636) Prec@5 70.000 (67.279) Epoch: [14][7930/11272] Time 0.740 (1.142) Data 0.001 (0.326) Loss 2.8638 (2.6134) Prec@1 36.250 (36.634) Prec@5 60.625 (67.281) Epoch: [14][7940/11272] Time 0.765 (1.142) Data 0.002 (0.325) Loss 2.6437 (2.6133) Prec@1 42.500 (36.639) Prec@5 65.625 (67.281) Epoch: [14][7950/11272] Time 0.835 (1.141) Data 0.001 (0.325) Loss 2.5555 (2.6133) Prec@1 34.375 (36.639) Prec@5 67.500 (67.282) Epoch: [14][7960/11272] Time 0.854 (1.141) Data 0.002 (0.324) Loss 2.7863 (2.6134) Prec@1 30.625 (36.638) Prec@5 64.375 (67.282) Epoch: [14][7970/11272] Time 0.734 (1.141) Data 0.001 (0.324) Loss 2.7086 (2.6134) Prec@1 33.750 (36.639) Prec@5 63.750 (67.283) Epoch: [14][7980/11272] Time 0.798 (1.140) Data 0.002 (0.324) Loss 2.7589 (2.6134) Prec@1 37.500 (36.640) Prec@5 63.125 (67.281) Epoch: [14][7990/11272] Time 0.827 (1.140) Data 0.001 (0.323) Loss 3.1438 (2.6135) Prec@1 31.875 (36.637) Prec@5 61.875 (67.281) Epoch: [14][8000/11272] Time 0.836 (1.139) Data 0.002 (0.323) Loss 2.6216 (2.6135) Prec@1 41.250 (36.638) Prec@5 68.750 (67.280) Epoch: [14][8010/11272] Time 0.754 (1.139) Data 0.001 (0.322) Loss 2.7267 (2.6135) Prec@1 30.000 (36.637) Prec@5 62.500 (67.281) Epoch: [14][8020/11272] Time 0.741 (1.138) Data 0.002 (0.322) Loss 2.8242 (2.6135) Prec@1 33.125 (36.636) Prec@5 63.125 (67.283) Epoch: [14][8030/11272] Time 0.864 (1.138) Data 0.001 (0.322) Loss 2.6516 (2.6135) Prec@1 33.750 (36.635) Prec@5 68.125 (67.283) Epoch: [14][8040/11272] Time 0.740 (1.138) Data 0.001 (0.321) Loss 2.3872 (2.6135) Prec@1 40.000 (36.635) Prec@5 73.125 (67.283) Epoch: [14][8050/11272] Time 0.766 (1.137) Data 0.001 (0.321) Loss 2.8739 (2.6135) Prec@1 33.125 (36.634) Prec@5 60.625 (67.279) Epoch: [14][8060/11272] Time 0.858 (1.137) Data 0.002 (0.320) Loss 2.7492 (2.6136) Prec@1 31.250 (36.633) Prec@5 68.125 (67.279) Epoch: [14][8070/11272] Time 0.860 (1.136) Data 0.002 (0.320) Loss 2.5362 (2.6136) Prec@1 39.375 (36.632) Prec@5 68.125 (67.277) Epoch: [14][8080/11272] Time 0.730 (1.136) Data 0.001 (0.320) Loss 2.4713 (2.6135) Prec@1 40.625 (36.636) Prec@5 69.375 (67.280) Epoch: [14][8090/11272] Time 0.729 (1.136) Data 0.002 (0.319) Loss 2.7737 (2.6135) Prec@1 35.625 (36.637) Prec@5 67.500 (67.282) Epoch: [14][8100/11272] Time 0.845 (1.135) Data 0.001 (0.319) Loss 2.4971 (2.6135) Prec@1 39.375 (36.637) Prec@5 69.375 (67.281) Epoch: [14][8110/11272] Time 0.832 (1.135) Data 0.001 (0.318) Loss 2.7707 (2.6134) Prec@1 34.375 (36.635) Prec@5 64.375 (67.281) Epoch: [14][8120/11272] Time 0.752 (1.134) Data 0.002 (0.318) Loss 2.3778 (2.6135) Prec@1 38.125 (36.634) Prec@5 71.875 (67.281) Epoch: [14][8130/11272] Time 0.765 (1.134) Data 0.002 (0.318) Loss 2.6910 (2.6135) Prec@1 38.750 (36.633) Prec@5 66.250 (67.279) Epoch: [14][8140/11272] Time 0.887 (1.133) Data 0.002 (0.317) Loss 2.5957 (2.6135) Prec@1 38.125 (36.636) Prec@5 68.125 (67.280) Epoch: [14][8150/11272] Time 0.886 (1.133) Data 0.002 (0.317) Loss 2.8641 (2.6135) Prec@1 31.875 (36.637) Prec@5 61.875 (67.278) Epoch: [14][8160/11272] Time 0.781 (1.133) Data 0.002 (0.317) Loss 2.4445 (2.6134) Prec@1 36.875 (36.640) Prec@5 68.750 (67.282) Epoch: [14][8170/11272] Time 0.859 (1.132) Data 0.002 (0.316) Loss 2.9578 (2.6134) Prec@1 27.500 (36.638) Prec@5 62.500 (67.280) Epoch: [14][8180/11272] Time 0.944 (1.132) Data 0.002 (0.316) Loss 2.4319 (2.6134) Prec@1 43.125 (36.640) Prec@5 73.750 (67.279) Epoch: [14][8190/11272] Time 0.741 (1.131) Data 0.001 (0.315) Loss 2.7549 (2.6135) Prec@1 34.375 (36.639) Prec@5 61.875 (67.277) Epoch: [14][8200/11272] Time 0.726 (1.131) Data 0.001 (0.315) Loss 2.6663 (2.6135) Prec@1 35.625 (36.638) Prec@5 66.875 (67.277) Epoch: [14][8210/11272] Time 0.927 (1.131) Data 0.002 (0.315) Loss 2.3253 (2.6135) Prec@1 41.250 (36.638) Prec@5 68.750 (67.278) Epoch: [14][8220/11272] Time 0.894 (1.130) Data 0.001 (0.314) Loss 2.5025 (2.6135) Prec@1 38.750 (36.637) Prec@5 68.750 (67.278) Epoch: [14][8230/11272] Time 0.729 (1.130) Data 0.002 (0.314) Loss 2.4874 (2.6134) Prec@1 36.250 (36.640) Prec@5 70.000 (67.282) Epoch: [14][8240/11272] Time 0.732 (1.129) Data 0.001 (0.313) Loss 2.4152 (2.6134) Prec@1 36.875 (36.638) Prec@5 71.250 (67.283) Epoch: [14][8250/11272] Time 0.849 (1.129) Data 0.002 (0.313) Loss 2.3819 (2.6133) Prec@1 43.125 (36.640) Prec@5 72.500 (67.284) Epoch: [14][8260/11272] Time 0.849 (1.129) Data 0.002 (0.313) Loss 2.6486 (2.6133) Prec@1 37.500 (36.639) Prec@5 65.000 (67.286) Epoch: [14][8270/11272] Time 0.759 (1.128) Data 0.002 (0.312) Loss 2.8242 (2.6134) Prec@1 30.625 (36.637) Prec@5 66.875 (67.285) Epoch: [14][8280/11272] Time 0.727 (1.128) Data 0.002 (0.312) Loss 2.5750 (2.6134) Prec@1 33.125 (36.636) Prec@5 66.250 (67.283) Epoch: [14][8290/11272] Time 0.803 (1.128) Data 0.001 (0.312) Loss 2.5931 (2.6134) Prec@1 37.500 (36.635) Prec@5 70.000 (67.283) Epoch: [14][8300/11272] Time 0.741 (1.127) Data 0.003 (0.311) Loss 2.6139 (2.6135) Prec@1 31.875 (36.634) Prec@5 70.000 (67.283) Epoch: [14][8310/11272] Time 0.722 (1.127) Data 0.001 (0.311) Loss 2.7702 (2.6136) Prec@1 31.875 (36.631) Prec@5 63.750 (67.280) Epoch: [14][8320/11272] Time 0.856 (1.126) Data 0.001 (0.310) Loss 2.6255 (2.6136) Prec@1 40.000 (36.632) Prec@5 65.625 (67.279) Epoch: [14][8330/11272] Time 0.851 (1.126) Data 0.001 (0.310) Loss 2.5515 (2.6136) Prec@1 37.500 (36.633) Prec@5 70.625 (67.278) Epoch: [14][8340/11272] Time 0.732 (1.126) Data 0.002 (0.310) Loss 2.6010 (2.6136) Prec@1 40.625 (36.635) Prec@5 68.750 (67.280) Epoch: [14][8350/11272] Time 0.745 (1.125) Data 0.001 (0.309) Loss 2.4473 (2.6135) Prec@1 35.000 (36.635) Prec@5 74.375 (67.281) Epoch: [14][8360/11272] Time 0.836 (1.125) Data 0.001 (0.309) Loss 2.5681 (2.6136) Prec@1 35.625 (36.633) Prec@5 66.250 (67.281) Epoch: [14][8370/11272] Time 0.896 (1.124) Data 0.002 (0.309) Loss 2.5443 (2.6135) Prec@1 43.750 (36.636) Prec@5 68.125 (67.282) Epoch: [14][8380/11272] Time 0.763 (1.124) Data 0.001 (0.308) Loss 2.7462 (2.6135) Prec@1 33.125 (36.636) Prec@5 66.875 (67.283) Epoch: [14][8390/11272] Time 0.731 (1.124) Data 0.001 (0.308) Loss 2.3925 (2.6136) Prec@1 41.250 (36.636) Prec@5 72.500 (67.282) Epoch: [14][8400/11272] Time 0.848 (1.123) Data 0.002 (0.308) Loss 2.3566 (2.6135) Prec@1 32.500 (36.634) Prec@5 78.125 (67.284) Epoch: [14][8410/11272] Time 0.873 (1.123) Data 0.002 (0.307) Loss 2.6545 (2.6135) Prec@1 33.750 (36.634) Prec@5 67.500 (67.285) Epoch: [14][8420/11272] Time 0.715 (1.122) Data 0.002 (0.307) Loss 2.3843 (2.6134) Prec@1 43.750 (36.636) Prec@5 69.375 (67.286) Epoch: [14][8430/11272] Time 0.815 (1.122) Data 0.001 (0.306) Loss 2.6631 (2.6134) Prec@1 35.625 (36.635) Prec@5 66.250 (67.285) Epoch: [14][8440/11272] Time 0.867 (1.122) Data 0.001 (0.306) Loss 2.4457 (2.6135) Prec@1 41.250 (36.635) Prec@5 68.750 (67.284) Epoch: [14][8450/11272] Time 0.738 (1.121) Data 0.001 (0.306) Loss 2.4072 (2.6135) Prec@1 41.250 (36.635) Prec@5 70.625 (67.284) Epoch: [14][8460/11272] Time 0.734 (1.121) Data 0.001 (0.305) Loss 2.7028 (2.6136) Prec@1 30.000 (36.634) Prec@5 64.375 (67.282) Epoch: [14][8470/11272] Time 0.859 (1.121) Data 0.001 (0.305) Loss 2.4440 (2.6136) Prec@1 38.750 (36.632) Prec@5 68.125 (67.282) Epoch: [14][8480/11272] Time 0.844 (1.120) Data 0.001 (0.305) Loss 2.8834 (2.6135) Prec@1 30.625 (36.635) Prec@5 61.875 (67.283) Epoch: [14][8490/11272] Time 0.738 (1.120) Data 0.002 (0.304) Loss 2.4372 (2.6134) Prec@1 38.750 (36.636) Prec@5 67.500 (67.286) Epoch: [14][8500/11272] Time 0.723 (1.120) Data 0.001 (0.304) Loss 2.6672 (2.6135) Prec@1 31.875 (36.635) Prec@5 64.375 (67.285) Epoch: [14][8510/11272] Time 0.920 (1.119) Data 0.002 (0.304) Loss 2.8590 (2.6135) Prec@1 31.875 (36.635) Prec@5 62.500 (67.284) Epoch: [14][8520/11272] Time 0.861 (1.119) Data 0.001 (0.303) Loss 2.6819 (2.6136) Prec@1 36.250 (36.635) Prec@5 67.500 (67.283) Epoch: [14][8530/11272] Time 0.745 (1.118) Data 0.002 (0.303) Loss 2.3876 (2.6135) Prec@1 37.500 (36.635) Prec@5 69.375 (67.284) Epoch: [14][8540/11272] Time 0.768 (1.118) Data 0.001 (0.302) Loss 2.7935 (2.6135) Prec@1 37.500 (36.636) Prec@5 63.750 (67.284) Epoch: [14][8550/11272] Time 0.858 (1.118) Data 0.001 (0.302) Loss 2.3429 (2.6136) Prec@1 41.875 (36.633) Prec@5 68.750 (67.283) Epoch: [14][8560/11272] Time 0.760 (1.117) Data 0.003 (0.302) Loss 2.8590 (2.6135) Prec@1 34.375 (36.633) Prec@5 60.625 (67.283) Epoch: [14][8570/11272] Time 0.753 (1.117) Data 0.001 (0.301) Loss 2.6429 (2.6135) Prec@1 38.125 (36.633) Prec@5 65.000 (67.281) Epoch: [14][8580/11272] Time 0.839 (1.117) Data 0.002 (0.301) Loss 2.6603 (2.6136) Prec@1 39.375 (36.634) Prec@5 66.250 (67.281) Epoch: [14][8590/11272] Time 0.840 (1.116) Data 0.001 (0.301) Loss 2.4164 (2.6136) Prec@1 39.375 (36.636) Prec@5 73.125 (67.282) Epoch: [14][8600/11272] Time 0.729 (1.116) Data 0.002 (0.300) Loss 2.6510 (2.6137) Prec@1 34.375 (36.634) Prec@5 66.875 (67.280) Epoch: [14][8610/11272] Time 0.755 (1.115) Data 0.002 (0.300) Loss 2.6535 (2.6136) Prec@1 33.750 (36.634) Prec@5 66.250 (67.280) Epoch: [14][8620/11272] Time 0.848 (1.115) Data 0.001 (0.300) Loss 2.5297 (2.6136) Prec@1 42.500 (36.635) Prec@5 68.125 (67.279) Epoch: [14][8630/11272] Time 0.877 (1.115) Data 0.002 (0.299) Loss 2.7326 (2.6136) Prec@1 36.250 (36.635) Prec@5 64.375 (67.279) Epoch: [14][8640/11272] Time 0.768 (1.114) Data 0.001 (0.299) Loss 2.4436 (2.6136) Prec@1 41.250 (36.636) Prec@5 70.625 (67.279) Epoch: [14][8650/11272] Time 0.743 (1.114) Data 0.001 (0.299) Loss 2.5722 (2.6136) Prec@1 33.125 (36.634) Prec@5 70.000 (67.278) Epoch: [14][8660/11272] Time 0.851 (1.114) Data 0.002 (0.298) Loss 2.8005 (2.6136) Prec@1 31.875 (36.634) Prec@5 59.375 (67.277) Epoch: [14][8670/11272] Time 0.847 (1.113) Data 0.001 (0.298) Loss 2.4217 (2.6136) Prec@1 39.375 (36.635) Prec@5 71.875 (67.277) Epoch: [14][8680/11272] Time 0.749 (1.113) Data 0.002 (0.298) Loss 2.5385 (2.6136) Prec@1 36.250 (36.635) Prec@5 71.875 (67.278) Epoch: [14][8690/11272] Time 0.858 (1.113) Data 0.002 (0.297) Loss 2.4588 (2.6136) Prec@1 35.625 (36.634) Prec@5 72.500 (67.278) Epoch: [14][8700/11272] Time 0.846 (1.112) Data 0.001 (0.297) Loss 2.8159 (2.6136) Prec@1 35.000 (36.633) Prec@5 63.125 (67.277) Epoch: [14][8710/11272] Time 0.764 (1.112) Data 0.001 (0.297) Loss 2.5603 (2.6136) Prec@1 36.250 (36.634) Prec@5 69.375 (67.278) Epoch: [14][8720/11272] Time 0.741 (1.112) Data 0.001 (0.296) Loss 2.5972 (2.6136) Prec@1 36.875 (36.634) Prec@5 68.750 (67.278) Epoch: [14][8730/11272] Time 0.892 (1.111) Data 0.002 (0.296) Loss 2.4668 (2.6136) Prec@1 41.875 (36.633) Prec@5 69.375 (67.277) Epoch: [14][8740/11272] Time 0.866 (1.111) Data 0.001 (0.296) Loss 2.5146 (2.6136) Prec@1 33.750 (36.633) Prec@5 70.000 (67.276) Epoch: [14][8750/11272] Time 0.776 (1.111) Data 0.001 (0.295) Loss 2.3744 (2.6136) Prec@1 39.375 (36.632) Prec@5 66.250 (67.277) Epoch: [14][8760/11272] Time 0.790 (1.110) Data 0.002 (0.295) Loss 2.5565 (2.6137) Prec@1 37.500 (36.630) Prec@5 63.750 (67.275) Epoch: [14][8770/11272] Time 0.861 (1.110) Data 0.001 (0.295) Loss 2.7124 (2.6137) Prec@1 36.875 (36.631) Prec@5 65.625 (67.275) Epoch: [14][8780/11272] Time 0.859 (1.110) Data 0.001 (0.294) Loss 2.9175 (2.6137) Prec@1 30.625 (36.631) Prec@5 63.125 (67.275) Epoch: [14][8790/11272] Time 0.743 (1.109) Data 0.002 (0.294) Loss 2.5507 (2.6137) Prec@1 35.000 (36.631) Prec@5 65.625 (67.275) Epoch: [14][8800/11272] Time 0.744 (1.109) Data 0.002 (0.294) Loss 2.7724 (2.6137) Prec@1 33.125 (36.632) Prec@5 66.875 (67.274) Epoch: [14][8810/11272] Time 0.860 (1.108) Data 0.002 (0.293) Loss 2.6837 (2.6136) Prec@1 32.500 (36.631) Prec@5 66.875 (67.276) Epoch: [14][8820/11272] Time 0.841 (1.108) Data 0.002 (0.293) Loss 2.8359 (2.6137) Prec@1 32.500 (36.632) Prec@5 68.125 (67.277) Epoch: [14][8830/11272] Time 0.756 (1.108) Data 0.003 (0.293) Loss 2.3852 (2.6137) Prec@1 40.000 (36.631) Prec@5 68.750 (67.276) Epoch: [14][8840/11272] Time 0.893 (1.107) Data 0.001 (0.292) Loss 2.6182 (2.6137) Prec@1 31.250 (36.630) Prec@5 66.250 (67.276) Epoch: [14][8850/11272] Time 0.833 (1.107) Data 0.001 (0.292) Loss 2.3035 (2.6137) Prec@1 41.875 (36.630) Prec@5 75.625 (67.277) Epoch: [14][8860/11272] Time 0.759 (1.107) Data 0.002 (0.292) Loss 2.3897 (2.6136) Prec@1 41.250 (36.631) Prec@5 71.250 (67.278) Epoch: [14][8870/11272] Time 0.723 (1.106) Data 0.001 (0.291) Loss 2.7299 (2.6136) Prec@1 36.250 (36.633) Prec@5 61.875 (67.276) Epoch: [14][8880/11272] Time 0.828 (1.106) Data 0.001 (0.291) Loss 2.4919 (2.6135) Prec@1 43.125 (36.634) Prec@5 68.125 (67.278) Epoch: [14][8890/11272] Time 0.845 (1.106) Data 0.001 (0.291) Loss 2.7961 (2.6136) Prec@1 31.875 (36.633) Prec@5 68.125 (67.278) Epoch: [14][8900/11272] Time 0.755 (1.105) Data 0.002 (0.290) Loss 2.3365 (2.6136) Prec@1 46.250 (36.634) Prec@5 70.625 (67.279) Epoch: [14][8910/11272] Time 0.726 (1.105) Data 0.001 (0.290) Loss 2.6414 (2.6136) Prec@1 33.750 (36.633) Prec@5 66.875 (67.281) Epoch: [14][8920/11272] Time 0.849 (1.105) Data 0.002 (0.290) Loss 2.7944 (2.6135) Prec@1 32.500 (36.635) Prec@5 66.250 (67.283) Epoch: [14][8930/11272] Time 0.880 (1.104) Data 0.001 (0.289) Loss 2.6393 (2.6135) Prec@1 35.625 (36.635) Prec@5 65.625 (67.282) Epoch: [14][8940/11272] Time 0.728 (1.104) Data 0.001 (0.289) Loss 2.4010 (2.6135) Prec@1 45.625 (36.637) Prec@5 72.500 (67.285) Epoch: [14][8950/11272] Time 0.759 (1.104) Data 0.001 (0.289) Loss 2.4823 (2.6135) Prec@1 36.875 (36.636) Prec@5 66.875 (67.282) Epoch: [14][8960/11272] Time 0.843 (1.103) Data 0.001 (0.288) Loss 2.7807 (2.6135) Prec@1 31.875 (36.636) Prec@5 63.125 (67.281) Epoch: [14][8970/11272] Time 0.742 (1.103) Data 0.001 (0.288) Loss 2.6136 (2.6137) Prec@1 36.250 (36.633) Prec@5 67.500 (67.278) Epoch: [14][8980/11272] Time 0.729 (1.103) Data 0.001 (0.288) Loss 2.4930 (2.6136) Prec@1 42.500 (36.633) Prec@5 70.625 (67.280) Epoch: [14][8990/11272] Time 0.838 (1.102) Data 0.002 (0.287) Loss 2.7272 (2.6136) Prec@1 36.250 (36.634) Prec@5 66.875 (67.281) Epoch: [14][9000/11272] Time 0.862 (1.102) Data 0.002 (0.287) Loss 2.3755 (2.6136) Prec@1 44.375 (36.635) Prec@5 67.500 (67.281) Epoch: [14][9010/11272] Time 0.754 (1.102) Data 0.002 (0.287) Loss 2.8782 (2.6137) Prec@1 30.000 (36.634) Prec@5 61.250 (67.280) Epoch: [14][9020/11272] Time 0.792 (1.101) Data 0.002 (0.286) Loss 2.8600 (2.6137) Prec@1 31.875 (36.633) Prec@5 60.000 (67.280) Epoch: [14][9030/11272] Time 0.912 (1.101) Data 0.002 (0.286) Loss 2.4659 (2.6137) Prec@1 41.250 (36.633) Prec@5 71.250 (67.279) Epoch: [14][9040/11272] Time 0.844 (1.101) Data 0.002 (0.286) Loss 2.4812 (2.6138) Prec@1 38.750 (36.632) Prec@5 71.250 (67.278) Epoch: [14][9050/11272] Time 0.737 (1.100) Data 0.002 (0.286) Loss 2.5828 (2.6137) Prec@1 35.625 (36.632) Prec@5 65.000 (67.280) Epoch: [14][9060/11272] Time 0.742 (1.100) Data 0.002 (0.285) Loss 2.5789 (2.6137) Prec@1 38.750 (36.633) Prec@5 68.125 (67.279) Epoch: [14][9070/11272] Time 0.838 (1.100) Data 0.001 (0.285) Loss 2.6027 (2.6136) Prec@1 35.625 (36.636) Prec@5 68.750 (67.282) Epoch: [14][9080/11272] Time 0.846 (1.099) Data 0.001 (0.285) Loss 2.7802 (2.6136) Prec@1 39.375 (36.635) Prec@5 61.875 (67.280) Epoch: [14][9090/11272] Time 0.739 (1.099) Data 0.002 (0.284) Loss 2.5830 (2.6137) Prec@1 37.500 (36.635) Prec@5 68.125 (67.280) Epoch: [14][9100/11272] Time 0.917 (1.099) Data 0.001 (0.284) Loss 2.6785 (2.6137) Prec@1 39.375 (36.635) Prec@5 65.625 (67.278) Epoch: [14][9110/11272] Time 0.850 (1.098) Data 0.001 (0.284) Loss 2.6124 (2.6137) Prec@1 30.625 (36.635) Prec@5 68.750 (67.280) Epoch: [14][9120/11272] Time 0.718 (1.098) Data 0.001 (0.283) Loss 2.6067 (2.6137) Prec@1 38.125 (36.632) Prec@5 66.250 (67.278) Epoch: [14][9130/11272] Time 0.752 (1.098) Data 0.002 (0.283) Loss 2.4181 (2.6137) Prec@1 36.875 (36.632) Prec@5 67.500 (67.278) Epoch: [14][9140/11272] Time 0.904 (1.097) Data 0.002 (0.283) Loss 2.3290 (2.6137) Prec@1 41.250 (36.631) Prec@5 70.000 (67.278) Epoch: [14][9150/11272] Time 0.851 (1.097) Data 0.001 (0.282) Loss 2.6557 (2.6138) Prec@1 35.000 (36.631) Prec@5 66.250 (67.276) Epoch: [14][9160/11272] Time 0.729 (1.097) Data 0.002 (0.282) Loss 2.6864 (2.6138) Prec@1 32.500 (36.630) Prec@5 69.375 (67.275) Epoch: [14][9170/11272] Time 0.757 (1.096) Data 0.002 (0.282) Loss 2.6062 (2.6139) Prec@1 35.000 (36.628) Prec@5 66.250 (67.274) Epoch: [14][9180/11272] Time 0.842 (1.096) Data 0.002 (0.282) Loss 2.8729 (2.6138) Prec@1 33.125 (36.628) Prec@5 60.625 (67.274) Epoch: [14][9190/11272] Time 0.849 (1.096) Data 0.001 (0.281) Loss 2.8350 (2.6138) Prec@1 31.875 (36.630) Prec@5 64.375 (67.276) Epoch: [14][9200/11272] Time 0.727 (1.095) Data 0.002 (0.281) Loss 2.4726 (2.6138) Prec@1 38.125 (36.630) Prec@5 70.000 (67.279) Epoch: [14][9210/11272] Time 0.765 (1.095) Data 0.002 (0.281) Loss 2.6935 (2.6138) Prec@1 33.750 (36.630) Prec@5 63.750 (67.277) Epoch: [14][9220/11272] Time 0.859 (1.095) Data 0.002 (0.280) Loss 2.2328 (2.6138) Prec@1 46.250 (36.631) Prec@5 73.750 (67.276) Epoch: [14][9230/11272] Time 0.732 (1.095) Data 0.004 (0.280) Loss 2.4822 (2.6138) Prec@1 37.500 (36.630) Prec@5 71.250 (67.276) Epoch: [14][9240/11272] Time 0.784 (1.094) Data 0.002 (0.280) Loss 2.5648 (2.6138) Prec@1 36.250 (36.629) Prec@5 65.000 (67.276) Epoch: [14][9250/11272] Time 0.837 (1.094) Data 0.001 (0.279) Loss 2.7166 (2.6137) Prec@1 36.250 (36.629) Prec@5 66.250 (67.278) Epoch: [14][9260/11272] Time 0.944 (1.094) Data 0.002 (0.279) Loss 2.4150 (2.6136) Prec@1 43.125 (36.631) Prec@5 68.750 (67.279) Epoch: [14][9270/11272] Time 0.738 (1.093) Data 0.002 (0.279) Loss 2.6652 (2.6138) Prec@1 35.625 (36.630) Prec@5 66.875 (67.277) Epoch: [14][9280/11272] Time 0.731 (1.093) Data 0.002 (0.278) Loss 2.7098 (2.6138) Prec@1 33.125 (36.627) Prec@5 66.875 (67.276) Epoch: [14][9290/11272] Time 0.876 (1.093) Data 0.002 (0.278) Loss 2.9482 (2.6139) Prec@1 28.750 (36.626) Prec@5 65.625 (67.274) Epoch: [14][9300/11272] Time 0.854 (1.092) Data 0.001 (0.278) Loss 2.5054 (2.6139) Prec@1 35.625 (36.625) Prec@5 70.625 (67.274) Epoch: [14][9310/11272] Time 0.734 (1.092) Data 0.002 (0.278) Loss 2.3570 (2.6139) Prec@1 41.875 (36.626) Prec@5 71.875 (67.274) Epoch: [14][9320/11272] Time 0.746 (1.092) Data 0.001 (0.277) Loss 2.4850 (2.6139) Prec@1 33.750 (36.625) Prec@5 70.000 (67.273) Epoch: [14][9330/11272] Time 0.882 (1.091) Data 0.002 (0.277) Loss 2.4321 (2.6139) Prec@1 38.125 (36.624) Prec@5 70.000 (67.272) Epoch: [14][9340/11272] Time 0.852 (1.091) Data 0.002 (0.277) Loss 2.5998 (2.6139) Prec@1 37.500 (36.623) Prec@5 68.125 (67.273) Epoch: [14][9350/11272] Time 0.731 (1.091) Data 0.001 (0.276) Loss 2.2976 (2.6139) Prec@1 42.500 (36.625) Prec@5 71.250 (67.273) Epoch: [14][9360/11272] Time 0.854 (1.090) Data 0.001 (0.276) Loss 2.6682 (2.6139) Prec@1 36.875 (36.624) Prec@5 62.500 (67.273) Epoch: [14][9370/11272] Time 0.870 (1.090) Data 0.002 (0.276) Loss 2.3542 (2.6139) Prec@1 37.500 (36.623) Prec@5 70.000 (67.273) Epoch: [14][9380/11272] Time 0.723 (1.090) Data 0.001 (0.276) Loss 2.5689 (2.6140) Prec@1 33.750 (36.622) Prec@5 68.750 (67.271) Epoch: [14][9390/11272] Time 0.732 (1.090) Data 0.001 (0.275) Loss 2.4067 (2.6139) Prec@1 41.875 (36.622) Prec@5 72.500 (67.271) Epoch: [14][9400/11272] Time 0.862 (1.089) Data 0.002 (0.275) Loss 2.5992 (2.6139) Prec@1 35.625 (36.623) Prec@5 69.375 (67.271) Epoch: [14][9410/11272] Time 0.932 (1.089) Data 0.002 (0.275) Loss 2.9746 (2.6140) Prec@1 30.000 (36.623) Prec@5 62.500 (67.270) Epoch: [14][9420/11272] Time 0.726 (1.089) Data 0.002 (0.274) Loss 2.5789 (2.6140) Prec@1 40.000 (36.622) Prec@5 66.875 (67.269) Epoch: [14][9430/11272] Time 0.751 (1.088) Data 0.002 (0.274) Loss 2.6215 (2.6141) Prec@1 35.000 (36.620) Prec@5 65.625 (67.268) Epoch: [14][9440/11272] Time 0.888 (1.088) Data 0.002 (0.274) Loss 2.4224 (2.6141) Prec@1 44.375 (36.619) Prec@5 72.500 (67.268) Epoch: [14][9450/11272] Time 0.831 (1.088) Data 0.002 (0.274) Loss 2.1901 (2.6141) Prec@1 46.250 (36.620) Prec@5 73.750 (67.268) Epoch: [14][9460/11272] Time 0.734 (1.087) Data 0.001 (0.273) Loss 2.6287 (2.6141) Prec@1 37.500 (36.621) Prec@5 68.125 (67.268) Epoch: [14][9470/11272] Time 0.729 (1.087) Data 0.001 (0.273) Loss 2.8163 (2.6141) Prec@1 31.250 (36.619) Prec@5 60.000 (67.268) Epoch: [14][9480/11272] Time 0.847 (1.087) Data 0.001 (0.273) Loss 2.6802 (2.6141) Prec@1 31.875 (36.619) Prec@5 68.125 (67.267) Epoch: [14][9490/11272] Time 0.773 (1.087) Data 0.003 (0.272) Loss 2.6389 (2.6141) Prec@1 36.875 (36.617) Prec@5 66.875 (67.265) Epoch: [14][9500/11272] Time 0.730 (1.086) Data 0.002 (0.272) Loss 2.4506 (2.6142) Prec@1 33.125 (36.616) Prec@5 71.250 (67.264) Epoch: [14][9510/11272] Time 0.831 (1.086) Data 0.001 (0.272) Loss 2.5199 (2.6143) Prec@1 35.625 (36.616) Prec@5 68.125 (67.263) Epoch: [14][9520/11272] Time 0.866 (1.086) Data 0.001 (0.272) Loss 2.6014 (2.6144) Prec@1 37.500 (36.613) Prec@5 66.875 (67.262) Epoch: [14][9530/11272] Time 0.729 (1.085) Data 0.002 (0.271) Loss 2.5540 (2.6144) Prec@1 39.375 (36.612) Prec@5 61.875 (67.261) Epoch: [14][9540/11272] Time 0.724 (1.085) Data 0.002 (0.271) Loss 2.5956 (2.6144) Prec@1 33.125 (36.610) Prec@5 61.875 (67.261) Epoch: [14][9550/11272] Time 0.877 (1.085) Data 0.002 (0.271) Loss 2.6858 (2.6143) Prec@1 33.125 (36.612) Prec@5 67.500 (67.262) Epoch: [14][9560/11272] Time 0.843 (1.085) Data 0.001 (0.270) Loss 2.5737 (2.6143) Prec@1 40.000 (36.612) Prec@5 70.000 (67.261) Epoch: [14][9570/11272] Time 0.724 (1.084) Data 0.002 (0.270) Loss 2.3619 (2.6143) Prec@1 40.625 (36.614) Prec@5 68.750 (67.262) Epoch: [14][9580/11272] Time 0.740 (1.084) Data 0.001 (0.270) Loss 2.6624 (2.6142) Prec@1 35.000 (36.615) Prec@5 65.000 (67.264) Epoch: [14][9590/11272] Time 0.839 (1.084) Data 0.001 (0.270) Loss 2.5333 (2.6141) Prec@1 36.250 (36.616) Prec@5 68.750 (67.267) Epoch: [14][9600/11272] Time 0.826 (1.083) Data 0.002 (0.269) Loss 2.6937 (2.6141) Prec@1 33.750 (36.614) Prec@5 68.125 (67.266) Epoch: [14][9610/11272] Time 0.742 (1.083) Data 0.001 (0.269) Loss 2.6239 (2.6141) Prec@1 39.375 (36.614) Prec@5 66.875 (67.268) Epoch: [14][9620/11272] Time 0.853 (1.083) Data 0.002 (0.269) Loss 2.5735 (2.6141) Prec@1 37.500 (36.614) Prec@5 70.000 (67.268) Epoch: [14][9630/11272] Time 0.866 (1.082) Data 0.002 (0.268) Loss 2.4844 (2.6142) Prec@1 41.250 (36.612) Prec@5 70.625 (67.266) Epoch: [14][9640/11272] Time 0.760 (1.082) Data 0.001 (0.268) Loss 2.5220 (2.6143) Prec@1 38.125 (36.611) Prec@5 71.250 (67.265) Epoch: [14][9650/11272] Time 0.718 (1.082) Data 0.001 (0.268) Loss 2.6181 (2.6143) Prec@1 39.375 (36.611) Prec@5 64.375 (67.263) Epoch: [14][9660/11272] Time 0.878 (1.082) Data 0.002 (0.268) Loss 2.5608 (2.6143) Prec@1 36.875 (36.610) Prec@5 69.375 (67.263) Epoch: [14][9670/11272] Time 0.846 (1.081) Data 0.002 (0.267) Loss 2.5799 (2.6143) Prec@1 45.000 (36.610) Prec@5 70.000 (67.263) Epoch: [14][9680/11272] Time 0.763 (1.081) Data 0.002 (0.267) Loss 2.5450 (2.6143) Prec@1 36.875 (36.609) Prec@5 66.250 (67.264) Epoch: [14][9690/11272] Time 0.808 (1.081) Data 0.002 (0.267) Loss 2.6663 (2.6142) Prec@1 37.500 (36.610) Prec@5 68.125 (67.266) Epoch: [14][9700/11272] Time 0.881 (1.080) Data 0.001 (0.267) Loss 2.7871 (2.6142) Prec@1 35.625 (36.610) Prec@5 63.125 (67.265) Epoch: [14][9710/11272] Time 0.903 (1.080) Data 0.001 (0.266) Loss 2.6239 (2.6142) Prec@1 37.500 (36.609) Prec@5 64.375 (67.264) Epoch: [14][9720/11272] Time 0.751 (1.080) Data 0.002 (0.266) Loss 2.6586 (2.6142) Prec@1 40.625 (36.611) Prec@5 60.625 (67.266) Epoch: [14][9730/11272] Time 0.763 (1.080) Data 0.001 (0.266) Loss 2.5782 (2.6142) Prec@1 37.500 (36.610) Prec@5 66.250 (67.266) Epoch: [14][9740/11272] Time 0.866 (1.079) Data 0.002 (0.265) Loss 2.4968 (2.6142) Prec@1 38.750 (36.609) Prec@5 65.000 (67.266) Epoch: [14][9750/11272] Time 0.891 (1.079) Data 0.002 (0.265) Loss 2.9749 (2.6142) Prec@1 33.125 (36.610) Prec@5 63.125 (67.266) Epoch: [14][9760/11272] Time 0.773 (1.079) Data 0.002 (0.265) Loss 2.5984 (2.6141) Prec@1 38.750 (36.612) Prec@5 66.875 (67.266) Epoch: [14][9770/11272] Time 0.872 (1.079) Data 0.001 (0.265) Loss 2.5755 (2.6141) Prec@1 38.125 (36.612) Prec@5 66.875 (67.266) Epoch: [14][9780/11272] Time 0.842 (1.078) Data 0.002 (0.264) Loss 2.4094 (2.6140) Prec@1 45.625 (36.613) Prec@5 70.625 (67.267) Epoch: [14][9790/11272] Time 0.725 (1.078) Data 0.001 (0.264) Loss 2.7821 (2.6141) Prec@1 31.875 (36.612) Prec@5 64.375 (67.267) Epoch: [14][9800/11272] Time 0.733 (1.078) Data 0.002 (0.264) Loss 2.6936 (2.6141) Prec@1 33.125 (36.613) Prec@5 68.750 (67.266) Epoch: [14][9810/11272] Time 0.887 (1.077) Data 0.002 (0.264) Loss 2.5875 (2.6140) Prec@1 35.000 (36.611) Prec@5 65.625 (67.266) Epoch: [14][9820/11272] Time 0.848 (1.077) Data 0.001 (0.263) Loss 2.6751 (2.6140) Prec@1 33.125 (36.611) Prec@5 67.500 (67.268) Epoch: [14][9830/11272] Time 0.739 (1.077) Data 0.001 (0.263) Loss 2.9190 (2.6140) Prec@1 28.125 (36.612) Prec@5 61.250 (67.268) Epoch: [14][9840/11272] Time 0.753 (1.077) Data 0.001 (0.263) Loss 2.6312 (2.6141) Prec@1 40.625 (36.612) Prec@5 72.500 (67.266) Epoch: [14][9850/11272] Time 0.849 (1.076) Data 0.002 (0.262) Loss 2.5775 (2.6141) Prec@1 40.000 (36.612) Prec@5 66.875 (67.265) Epoch: [14][9860/11272] Time 0.881 (1.076) Data 0.002 (0.262) Loss 2.6358 (2.6142) Prec@1 33.750 (36.611) Prec@5 65.625 (67.264) Epoch: [14][9870/11272] Time 0.755 (1.076) Data 0.002 (0.262) Loss 2.7611 (2.6142) Prec@1 35.000 (36.610) Prec@5 65.625 (67.265) Epoch: [14][9880/11272] Time 0.779 (1.075) Data 0.002 (0.262) Loss 2.6276 (2.6141) Prec@1 35.000 (36.612) Prec@5 64.375 (67.264) Epoch: [14][9890/11272] Time 0.847 (1.075) Data 0.001 (0.261) Loss 2.6314 (2.6141) Prec@1 35.000 (36.610) Prec@5 70.000 (67.265) Epoch: [14][9900/11272] Time 0.762 (1.075) Data 0.001 (0.261) Loss 2.6207 (2.6141) Prec@1 32.500 (36.611) Prec@5 67.500 (67.265) Epoch: [14][9910/11272] Time 0.734 (1.075) Data 0.001 (0.261) Loss 2.5568 (2.6141) Prec@1 40.000 (36.613) Prec@5 68.750 (67.264) Epoch: [14][9920/11272] Time 0.886 (1.074) Data 0.002 (0.261) Loss 2.5783 (2.6141) Prec@1 35.625 (36.613) Prec@5 63.750 (67.264) Epoch: [14][9930/11272] Time 0.910 (1.074) Data 0.002 (0.260) Loss 2.5882 (2.6141) Prec@1 36.875 (36.613) Prec@5 66.875 (67.264) Epoch: [14][9940/11272] Time 0.739 (1.074) Data 0.002 (0.260) Loss 2.6432 (2.6140) Prec@1 33.125 (36.612) Prec@5 67.500 (67.266) Epoch: [14][9950/11272] Time 0.765 (1.074) Data 0.001 (0.260) Loss 2.6092 (2.6140) Prec@1 34.375 (36.613) Prec@5 66.875 (67.268) Epoch: [14][9960/11272] Time 0.883 (1.073) Data 0.002 (0.260) Loss 2.1657 (2.6140) Prec@1 42.500 (36.613) Prec@5 80.000 (67.269) Epoch: [14][9970/11272] Time 0.849 (1.073) Data 0.002 (0.259) Loss 2.6251 (2.6140) Prec@1 36.875 (36.612) Prec@5 68.750 (67.269) Epoch: [14][9980/11272] Time 0.730 (1.073) Data 0.002 (0.259) Loss 2.4570 (2.6140) Prec@1 43.125 (36.611) Prec@5 71.875 (67.269) Epoch: [14][9990/11272] Time 0.731 (1.073) Data 0.002 (0.259) Loss 2.5183 (2.6139) Prec@1 38.125 (36.613) Prec@5 73.750 (67.272) Epoch: [14][10000/11272] Time 0.841 (1.072) Data 0.001 (0.259) Loss 2.7624 (2.6141) Prec@1 36.250 (36.611) Prec@5 65.000 (67.271) Epoch: [14][10010/11272] Time 0.911 (1.072) Data 0.002 (0.258) Loss 2.4086 (2.6141) Prec@1 39.375 (36.611) Prec@5 71.250 (67.271) Epoch: [14][10020/11272] Time 0.737 (1.072) Data 0.001 (0.258) Loss 2.6226 (2.6141) Prec@1 37.500 (36.609) Prec@5 64.375 (67.270) Epoch: [14][10030/11272] Time 0.849 (1.072) Data 0.002 (0.258) Loss 2.8474 (2.6142) Prec@1 30.625 (36.608) Prec@5 62.500 (67.267) Epoch: [14][10040/11272] Time 0.875 (1.071) Data 0.002 (0.258) Loss 3.0141 (2.6143) Prec@1 30.000 (36.606) Prec@5 60.625 (67.266) Epoch: [14][10050/11272] Time 0.733 (1.071) Data 0.002 (0.257) Loss 2.3942 (2.6143) Prec@1 42.500 (36.606) Prec@5 70.625 (67.265) Epoch: [14][10060/11272] Time 0.786 (1.071) Data 0.002 (0.257) Loss 2.5098 (2.6143) Prec@1 40.000 (36.607) Prec@5 66.250 (67.266) Epoch: [14][10070/11272] Time 0.922 (1.071) Data 0.001 (0.257) Loss 2.5644 (2.6143) Prec@1 40.000 (36.606) Prec@5 65.000 (67.266) Epoch: [14][10080/11272] Time 0.876 (1.070) Data 0.002 (0.257) Loss 2.6010 (2.6142) Prec@1 38.750 (36.606) Prec@5 70.625 (67.267) Epoch: [14][10090/11272] Time 0.730 (1.070) Data 0.002 (0.256) Loss 2.6906 (2.6143) Prec@1 35.625 (36.605) Prec@5 65.625 (67.265) Epoch: [14][10100/11272] Time 0.776 (1.070) Data 0.002 (0.256) Loss 2.6890 (2.6143) Prec@1 36.875 (36.604) Prec@5 65.625 (67.264) Epoch: [14][10110/11272] Time 0.860 (1.070) Data 0.002 (0.256) Loss 2.8885 (2.6143) Prec@1 32.500 (36.603) Prec@5 68.125 (67.265) Epoch: [14][10120/11272] Time 0.904 (1.069) Data 0.002 (0.256) Loss 2.7132 (2.6143) Prec@1 31.875 (36.603) Prec@5 65.000 (67.266) Epoch: [14][10130/11272] Time 0.705 (1.069) Data 0.001 (0.255) Loss 2.7899 (2.6143) Prec@1 36.875 (36.603) Prec@5 66.875 (67.266) Epoch: [14][10140/11272] Time 0.739 (1.069) Data 0.002 (0.255) Loss 2.6435 (2.6144) Prec@1 33.125 (36.603) Prec@5 68.125 (67.265) Epoch: [14][10150/11272] Time 0.845 (1.069) Data 0.001 (0.255) Loss 2.4038 (2.6143) Prec@1 38.125 (36.605) Prec@5 72.500 (67.265) Epoch: [14][10160/11272] Time 0.776 (1.068) Data 0.001 (0.255) Loss 2.4487 (2.6143) Prec@1 35.000 (36.604) Prec@5 71.875 (67.266) Epoch: [14][10170/11272] Time 0.752 (1.068) Data 0.005 (0.254) Loss 2.6952 (2.6144) Prec@1 33.125 (36.603) Prec@5 65.625 (67.264) Epoch: [14][10180/11272] Time 0.868 (1.068) Data 0.002 (0.254) Loss 2.4747 (2.6144) Prec@1 35.625 (36.604) Prec@5 71.250 (67.265) Epoch: [14][10190/11272] Time 0.880 (1.067) Data 0.002 (0.254) Loss 2.5966 (2.6143) Prec@1 41.250 (36.604) Prec@5 71.250 (67.266) Epoch: [14][10200/11272] Time 0.744 (1.067) Data 0.002 (0.254) Loss 2.6604 (2.6143) Prec@1 34.375 (36.604) Prec@5 67.500 (67.266) Epoch: [14][10210/11272] Time 0.734 (1.067) Data 0.002 (0.253) Loss 2.6617 (2.6143) Prec@1 43.125 (36.605) Prec@5 63.750 (67.266) Epoch: [14][10220/11272] Time 0.863 (1.067) Data 0.002 (0.253) Loss 2.6798 (2.6143) Prec@1 30.625 (36.605) Prec@5 68.125 (67.266) Epoch: [14][10230/11272] Time 0.909 (1.067) Data 0.002 (0.253) Loss 2.7922 (2.6143) Prec@1 35.000 (36.605) Prec@5 59.375 (67.265) Epoch: [14][10240/11272] Time 0.720 (1.066) Data 0.002 (0.253) Loss 2.3885 (2.6143) Prec@1 43.125 (36.606) Prec@5 73.750 (67.266) Epoch: [14][10250/11272] Time 0.764 (1.066) Data 0.002 (0.252) Loss 2.6848 (2.6143) Prec@1 35.000 (36.606) Prec@5 65.625 (67.263) Epoch: [14][10260/11272] Time 0.847 (1.066) Data 0.002 (0.252) Loss 2.7802 (2.6144) Prec@1 33.125 (36.605) Prec@5 66.875 (67.263) Epoch: [14][10270/11272] Time 0.868 (1.066) Data 0.002 (0.252) Loss 2.6463 (2.6143) Prec@1 38.125 (36.607) Prec@5 66.250 (67.265) Epoch: [14][10280/11272] Time 0.744 (1.065) Data 0.002 (0.252) Loss 2.6149 (2.6144) Prec@1 38.750 (36.606) Prec@5 70.625 (67.266) Epoch: [14][10290/11272] Time 0.877 (1.065) Data 0.002 (0.251) Loss 2.6069 (2.6145) Prec@1 40.000 (36.604) Prec@5 68.125 (67.263) Epoch: [14][10300/11272] Time 0.806 (1.065) Data 0.001 (0.251) Loss 2.6606 (2.6145) Prec@1 38.750 (36.605) Prec@5 65.000 (67.264) Epoch: [14][10310/11272] Time 0.779 (1.065) Data 0.001 (0.251) Loss 2.5833 (2.6145) Prec@1 40.000 (36.604) Prec@5 68.750 (67.263) Epoch: [14][10320/11272] Time 0.744 (1.064) Data 0.002 (0.251) Loss 2.5810 (2.6146) Prec@1 32.500 (36.603) Prec@5 66.250 (67.263) Epoch: [14][10330/11272] Time 0.899 (1.064) Data 0.001 (0.250) Loss 2.7102 (2.6146) Prec@1 36.875 (36.604) Prec@5 65.000 (67.262) Epoch: [14][10340/11272] Time 0.861 (1.064) Data 0.001 (0.250) Loss 2.6913 (2.6146) Prec@1 35.000 (36.605) Prec@5 63.750 (67.262) Epoch: [14][10350/11272] Time 0.740 (1.064) Data 0.001 (0.250) Loss 2.3587 (2.6146) Prec@1 44.375 (36.606) Prec@5 71.250 (67.263) Epoch: [14][10360/11272] Time 0.747 (1.063) Data 0.002 (0.250) Loss 2.7521 (2.6146) Prec@1 28.125 (36.606) Prec@5 64.375 (67.263) Epoch: [14][10370/11272] Time 0.885 (1.063) Data 0.002 (0.249) Loss 2.6237 (2.6145) Prec@1 38.125 (36.608) Prec@5 66.250 (67.264) Epoch: [14][10380/11272] Time 0.879 (1.063) Data 0.002 (0.249) Loss 2.6933 (2.6145) Prec@1 34.375 (36.608) Prec@5 60.625 (67.264) Epoch: [14][10390/11272] Time 0.736 (1.063) Data 0.002 (0.249) Loss 2.6804 (2.6145) Prec@1 36.250 (36.609) Prec@5 65.000 (67.264) Epoch: [14][10400/11272] Time 0.731 (1.062) Data 0.002 (0.249) Loss 3.0737 (2.6145) Prec@1 25.625 (36.609) Prec@5 57.500 (67.265) Epoch: [14][10410/11272] Time 0.845 (1.062) Data 0.002 (0.248) Loss 2.6800 (2.6146) Prec@1 35.000 (36.606) Prec@5 64.375 (67.263) Epoch: [14][10420/11272] Time 0.771 (1.062) Data 0.004 (0.248) Loss 2.7754 (2.6146) Prec@1 35.625 (36.607) Prec@5 64.375 (67.262) Epoch: [14][10430/11272] Time 0.745 (1.062) Data 0.001 (0.248) Loss 2.4188 (2.6146) Prec@1 35.000 (36.606) Prec@5 67.500 (67.262) Epoch: [14][10440/11272] Time 0.883 (1.061) Data 0.001 (0.248) Loss 2.8216 (2.6146) Prec@1 30.000 (36.605) Prec@5 68.125 (67.263) Epoch: [14][10450/11272] Time 0.849 (1.061) Data 0.001 (0.248) Loss 2.4413 (2.6146) Prec@1 40.625 (36.605) Prec@5 71.875 (67.264) Epoch: [14][10460/11272] Time 0.779 (1.061) Data 0.002 (0.247) Loss 2.5463 (2.6146) Prec@1 40.625 (36.605) Prec@5 68.125 (67.262) Epoch: [14][10470/11272] Time 0.768 (1.061) Data 0.002 (0.247) Loss 2.5066 (2.6146) Prec@1 38.125 (36.605) Prec@5 70.625 (67.263) Epoch: [14][10480/11272] Time 0.858 (1.061) Data 0.001 (0.247) Loss 2.4423 (2.6146) Prec@1 45.625 (36.606) Prec@5 70.000 (67.262) Epoch: [14][10490/11272] Time 0.860 (1.060) Data 0.002 (0.247) Loss 2.7330 (2.6146) Prec@1 30.000 (36.605) Prec@5 65.625 (67.263) Epoch: [14][10500/11272] Time 0.797 (1.060) Data 0.002 (0.246) Loss 2.3602 (2.6146) Prec@1 39.375 (36.606) Prec@5 70.000 (67.264) Epoch: [14][10510/11272] Time 0.759 (1.060) Data 0.002 (0.246) Loss 2.8727 (2.6146) Prec@1 31.250 (36.606) Prec@5 63.125 (67.264) Epoch: [14][10520/11272] Time 0.919 (1.060) Data 0.001 (0.246) Loss 2.3652 (2.6145) Prec@1 40.000 (36.607) Prec@5 70.625 (67.266) Epoch: [14][10530/11272] Time 0.855 (1.059) Data 0.002 (0.246) Loss 2.4189 (2.6145) Prec@1 46.250 (36.606) Prec@5 75.625 (67.266) Epoch: [14][10540/11272] Time 0.828 (1.059) Data 0.002 (0.245) Loss 2.5597 (2.6145) Prec@1 38.125 (36.605) Prec@5 61.875 (67.264) Epoch: [14][10550/11272] Time 0.878 (1.059) Data 0.002 (0.245) Loss 2.4253 (2.6146) Prec@1 38.750 (36.606) Prec@5 72.500 (67.264) Epoch: [14][10560/11272] Time 0.903 (1.059) Data 0.001 (0.245) Loss 2.2125 (2.6146) Prec@1 42.500 (36.607) Prec@5 76.875 (67.264) Epoch: [14][10570/11272] Time 0.776 (1.058) Data 0.001 (0.245) Loss 2.7573 (2.6146) Prec@1 36.875 (36.606) Prec@5 65.625 (67.264) Epoch: [14][10580/11272] Time 0.767 (1.058) Data 0.002 (0.244) Loss 2.6729 (2.6146) Prec@1 37.500 (36.605) Prec@5 66.250 (67.263) Epoch: [14][10590/11272] Time 0.860 (1.058) Data 0.002 (0.244) Loss 2.7131 (2.6148) Prec@1 36.250 (36.602) Prec@5 62.500 (67.260) Epoch: [14][10600/11272] Time 0.866 (1.058) Data 0.002 (0.244) Loss 2.7441 (2.6148) Prec@1 35.625 (36.602) Prec@5 62.500 (67.261) Epoch: [14][10610/11272] Time 0.737 (1.058) Data 0.002 (0.244) Loss 2.6934 (2.6147) Prec@1 34.375 (36.603) Prec@5 66.250 (67.262) Epoch: [14][10620/11272] Time 0.768 (1.057) Data 0.002 (0.244) Loss 2.8213 (2.6148) Prec@1 32.500 (36.601) Prec@5 61.250 (67.261) Epoch: [14][10630/11272] Time 0.907 (1.057) Data 0.001 (0.243) Loss 2.4500 (2.6148) Prec@1 38.125 (36.601) Prec@5 66.875 (67.261) Epoch: [14][10640/11272] Time 0.915 (1.057) Data 0.001 (0.243) Loss 2.6310 (2.6148) Prec@1 33.750 (36.600) Prec@5 65.625 (67.262) Epoch: [14][10650/11272] Time 0.770 (1.057) Data 0.002 (0.243) Loss 2.8675 (2.6148) Prec@1 29.375 (36.599) Prec@5 60.000 (67.263) Epoch: [14][10660/11272] Time 0.730 (1.056) Data 0.001 (0.243) Loss 2.5058 (2.6148) Prec@1 41.875 (36.598) Prec@5 68.750 (67.263) Epoch: [14][10670/11272] Time 0.867 (1.056) Data 0.002 (0.242) Loss 2.6087 (2.6147) Prec@1 37.500 (36.601) Prec@5 72.500 (67.266) Epoch: [14][10680/11272] Time 0.832 (1.056) Data 0.002 (0.242) Loss 2.5797 (2.6148) Prec@1 33.750 (36.600) Prec@5 68.750 (67.266) Epoch: [14][10690/11272] Time 0.741 (1.056) Data 0.001 (0.242) Loss 2.6724 (2.6147) Prec@1 32.500 (36.602) Prec@5 69.375 (67.268) Epoch: [14][10700/11272] Time 0.898 (1.056) Data 0.002 (0.242) Loss 2.5904 (2.6147) Prec@1 36.250 (36.603) Prec@5 64.375 (67.267) Epoch: [14][10710/11272] Time 0.816 (1.055) Data 0.002 (0.242) Loss 2.4662 (2.6147) Prec@1 41.875 (36.602) Prec@5 70.000 (67.266) Epoch: [14][10720/11272] Time 0.789 (1.055) Data 0.002 (0.241) Loss 2.5835 (2.6147) Prec@1 35.625 (36.602) Prec@5 67.500 (67.267) Epoch: [14][10730/11272] Time 0.770 (1.055) Data 0.002 (0.241) Loss 2.7658 (2.6147) Prec@1 34.375 (36.602) Prec@5 65.000 (67.267) Epoch: [14][10740/11272] Time 0.877 (1.055) Data 0.002 (0.241) Loss 2.4746 (2.6147) Prec@1 37.500 (36.601) Prec@5 70.625 (67.266) Epoch: [14][10750/11272] Time 0.951 (1.054) Data 0.002 (0.241) Loss 2.6540 (2.6148) Prec@1 38.750 (36.599) Prec@5 65.000 (67.264) Epoch: [14][10760/11272] Time 0.769 (1.054) Data 0.002 (0.240) Loss 2.5484 (2.6149) Prec@1 36.875 (36.596) Prec@5 72.500 (67.263) Epoch: [14][10770/11272] Time 0.760 (1.054) Data 0.002 (0.240) Loss 2.3956 (2.6149) Prec@1 39.375 (36.597) Prec@5 71.875 (67.261) Epoch: [14][10780/11272] Time 0.897 (1.054) Data 0.001 (0.240) Loss 2.6468 (2.6149) Prec@1 34.375 (36.597) Prec@5 67.500 (67.262) Epoch: [14][10790/11272] Time 0.864 (1.054) Data 0.002 (0.240) Loss 2.8287 (2.6149) Prec@1 31.875 (36.598) Prec@5 60.625 (67.262) Epoch: [14][10800/11272] Time 0.752 (1.053) Data 0.001 (0.240) Loss 2.4463 (2.6148) Prec@1 45.625 (36.600) Prec@5 70.625 (67.264) Epoch: [14][10810/11272] Time 0.719 (1.053) Data 0.001 (0.239) Loss 2.6979 (2.6148) Prec@1 40.000 (36.600) Prec@5 65.625 (67.265) Epoch: [14][10820/11272] Time 0.903 (1.053) Data 0.002 (0.239) Loss 2.6082 (2.6148) Prec@1 36.875 (36.599) Prec@5 65.000 (67.263) Epoch: [14][10830/11272] Time 0.755 (1.053) Data 0.001 (0.239) Loss 2.6175 (2.6148) Prec@1 37.500 (36.599) Prec@5 71.250 (67.264) Epoch: [14][10840/11272] Time 0.791 (1.053) Data 0.002 (0.239) Loss 2.8962 (2.6149) Prec@1 36.250 (36.598) Prec@5 63.125 (67.262) Epoch: [14][10850/11272] Time 0.863 (1.052) Data 0.001 (0.238) Loss 2.6697 (2.6149) Prec@1 38.750 (36.598) Prec@5 68.750 (67.262) Epoch: [14][10860/11272] Time 0.858 (1.052) Data 0.001 (0.238) Loss 2.7158 (2.6149) Prec@1 40.000 (36.599) Prec@5 66.250 (67.261) Epoch: [14][10870/11272] Time 0.769 (1.052) Data 0.002 (0.238) Loss 2.5273 (2.6149) Prec@1 42.500 (36.599) Prec@5 71.250 (67.261) Epoch: [14][10880/11272] Time 0.780 (1.052) Data 0.002 (0.238) Loss 2.5606 (2.6149) Prec@1 38.750 (36.598) Prec@5 66.875 (67.262) Epoch: [14][10890/11272] Time 0.862 (1.052) Data 0.002 (0.238) Loss 2.6465 (2.6150) Prec@1 38.125 (36.596) Prec@5 68.125 (67.260) Epoch: [14][10900/11272] Time 0.867 (1.051) Data 0.002 (0.237) Loss 2.7743 (2.6150) Prec@1 38.125 (36.596) Prec@5 62.500 (67.259) Epoch: [14][10910/11272] Time 0.735 (1.051) Data 0.002 (0.237) Loss 2.6693 (2.6150) Prec@1 28.750 (36.595) Prec@5 66.875 (67.260) Epoch: [14][10920/11272] Time 0.742 (1.051) Data 0.001 (0.237) Loss 2.6850 (2.6150) Prec@1 35.625 (36.594) Prec@5 66.875 (67.260) Epoch: [14][10930/11272] Time 0.879 (1.051) Data 0.002 (0.237) Loss 2.4599 (2.6150) Prec@1 36.250 (36.594) Prec@5 67.500 (67.260) Epoch: [14][10940/11272] Time 0.881 (1.050) Data 0.002 (0.236) Loss 2.6643 (2.6150) Prec@1 38.750 (36.594) Prec@5 65.000 (67.260) Epoch: [14][10950/11272] Time 0.743 (1.050) Data 0.002 (0.236) Loss 2.7831 (2.6149) Prec@1 35.000 (36.597) Prec@5 66.250 (67.262) Epoch: [14][10960/11272] Time 0.837 (1.050) Data 0.002 (0.236) Loss 2.4968 (2.6148) Prec@1 38.125 (36.599) Prec@5 68.125 (67.262) Epoch: [14][10970/11272] Time 0.911 (1.050) Data 0.002 (0.236) Loss 2.5383 (2.6149) Prec@1 35.625 (36.597) Prec@5 66.250 (67.260) Epoch: [14][10980/11272] Time 0.732 (1.050) Data 0.001 (0.236) Loss 2.3136 (2.6149) Prec@1 41.875 (36.596) Prec@5 70.625 (67.260) Epoch: [14][10990/11272] Time 0.758 (1.049) Data 0.002 (0.235) Loss 2.7392 (2.6149) Prec@1 35.625 (36.594) Prec@5 64.375 (67.259) Epoch: [14][11000/11272] Time 0.882 (1.049) Data 0.002 (0.235) Loss 2.7003 (2.6149) Prec@1 36.875 (36.593) Prec@5 68.125 (67.260) Epoch: [14][11010/11272] Time 0.865 (1.049) Data 0.003 (0.235) Loss 2.7634 (2.6149) Prec@1 36.875 (36.593) Prec@5 66.250 (67.260) Epoch: [14][11020/11272] Time 0.809 (1.049) Data 0.002 (0.235) Loss 2.5264 (2.6149) Prec@1 40.000 (36.592) Prec@5 67.500 (67.260) Epoch: [14][11030/11272] Time 0.780 (1.049) Data 0.002 (0.235) Loss 2.4985 (2.6150) Prec@1 35.625 (36.593) Prec@5 64.375 (67.258) Epoch: [14][11040/11272] Time 0.867 (1.048) Data 0.002 (0.234) Loss 2.9736 (2.6151) Prec@1 30.000 (36.592) Prec@5 61.250 (67.256) Epoch: [14][11050/11272] Time 0.873 (1.048) Data 0.001 (0.234) Loss 2.6700 (2.6150) Prec@1 38.125 (36.592) Prec@5 66.250 (67.256) Epoch: [14][11060/11272] Time 0.792 (1.048) Data 0.002 (0.234) Loss 2.7923 (2.6150) Prec@1 33.125 (36.592) Prec@5 64.375 (67.256) Epoch: [14][11070/11272] Time 0.746 (1.048) Data 0.001 (0.234) Loss 2.7010 (2.6151) Prec@1 36.250 (36.591) Prec@5 66.250 (67.256) Epoch: [14][11080/11272] Time 0.911 (1.048) Data 0.002 (0.234) Loss 2.6064 (2.6151) Prec@1 35.625 (36.591) Prec@5 69.375 (67.256) Epoch: [14][11090/11272] Time 0.748 (1.047) Data 0.003 (0.233) Loss 2.4961 (2.6151) Prec@1 37.500 (36.590) Prec@5 68.750 (67.255) Epoch: [14][11100/11272] Time 0.763 (1.047) Data 0.002 (0.233) Loss 2.9200 (2.6152) Prec@1 31.875 (36.590) Prec@5 60.625 (67.255) Epoch: [14][11110/11272] Time 0.874 (1.047) Data 0.001 (0.233) Loss 2.4973 (2.6152) Prec@1 39.375 (36.591) Prec@5 71.250 (67.254) Epoch: [14][11120/11272] Time 0.918 (1.047) Data 0.003 (0.233) Loss 2.5152 (2.6152) Prec@1 40.625 (36.590) Prec@5 68.125 (67.254) Epoch: [14][11130/11272] Time 0.788 (1.047) Data 0.002 (0.232) Loss 2.5988 (2.6152) Prec@1 40.000 (36.591) Prec@5 65.000 (67.253) Epoch: [14][11140/11272] Time 0.788 (1.046) Data 0.002 (0.232) Loss 2.5759 (2.6152) Prec@1 38.750 (36.593) Prec@5 66.875 (67.254) Epoch: [14][11150/11272] Time 0.861 (1.046) Data 0.002 (0.232) Loss 2.9329 (2.6153) Prec@1 28.750 (36.592) Prec@5 61.250 (67.253) Epoch: [14][11160/11272] Time 0.885 (1.046) Data 0.002 (0.232) Loss 2.7457 (2.6153) Prec@1 36.250 (36.591) Prec@5 67.500 (67.252) Epoch: [14][11170/11272] Time 0.753 (1.046) Data 0.001 (0.232) Loss 2.5185 (2.6153) Prec@1 37.500 (36.591) Prec@5 70.625 (67.251) Epoch: [14][11180/11272] Time 0.734 (1.046) Data 0.001 (0.231) Loss 2.6196 (2.6153) Prec@1 34.375 (36.592) Prec@5 70.625 (67.253) Epoch: [14][11190/11272] Time 0.876 (1.045) Data 0.001 (0.231) Loss 2.4127 (2.6152) Prec@1 41.250 (36.593) Prec@5 71.250 (67.255) Epoch: [14][11200/11272] Time 0.823 (1.045) Data 0.001 (0.231) Loss 2.6766 (2.6152) Prec@1 42.500 (36.592) Prec@5 67.500 (67.254) Epoch: [14][11210/11272] Time 0.747 (1.045) Data 0.001 (0.231) Loss 2.5345 (2.6153) Prec@1 40.000 (36.592) Prec@5 70.625 (67.254) Epoch: [14][11220/11272] Time 0.833 (1.045) Data 0.002 (0.231) Loss 2.5089 (2.6153) Prec@1 40.000 (36.591) Prec@5 67.500 (67.253) Epoch: [14][11230/11272] Time 0.902 (1.045) Data 0.002 (0.230) Loss 2.6074 (2.6153) Prec@1 31.875 (36.591) Prec@5 68.125 (67.254) Epoch: [14][11240/11272] Time 0.738 (1.044) Data 0.001 (0.230) Loss 2.5376 (2.6153) Prec@1 36.875 (36.591) Prec@5 69.375 (67.253) Epoch: [14][11250/11272] Time 0.759 (1.044) Data 0.002 (0.230) Loss 2.8172 (2.6153) Prec@1 32.500 (36.590) Prec@5 64.375 (67.251) Epoch: [14][11260/11272] Time 0.871 (1.044) Data 0.001 (0.230) Loss 2.6307 (2.6153) Prec@1 35.000 (36.592) Prec@5 63.125 (67.252) Epoch: [14][11270/11272] Time 0.830 (1.044) Data 0.000 (0.230) Loss 2.8308 (2.6153) Prec@1 37.500 (36.591) Prec@5 62.500 (67.252) Test: [0/229] Time 3.983 (3.983) Loss 1.4722 (1.4722) Prec@1 57.500 (57.500) Prec@5 90.625 (90.625) Test: [10/229] Time 0.344 (0.935) Loss 1.8781 (2.3247) Prec@1 48.125 (42.102) Prec@5 83.750 (75.739) Test: [20/229] Time 1.624 (0.837) Loss 2.6699 (2.3805) Prec@1 33.750 (40.446) Prec@5 67.500 (73.482) Test: [30/229] Time 0.661 (0.770) Loss 2.1998 (2.2360) Prec@1 38.125 (43.589) Prec@5 81.875 (75.685) Test: [40/229] Time 1.428 (0.760) Loss 1.1424 (2.2367) Prec@1 75.625 (43.338) Prec@5 85.625 (75.427) Test: [50/229] Time 0.445 (0.738) Loss 2.7034 (2.2485) Prec@1 28.125 (43.297) Prec@5 71.250 (75.012) Test: [60/229] Time 1.220 (0.721) Loss 2.5503 (2.2548) Prec@1 29.375 (43.176) Prec@5 73.125 (74.570) Test: [70/229] Time 0.461 (0.707) Loss 1.8431 (2.2878) Prec@1 59.375 (42.482) Prec@5 79.375 (73.908) Test: [80/229] Time 1.522 (0.710) Loss 2.6338 (2.3133) Prec@1 28.750 (41.736) Prec@5 75.000 (73.873) Test: [90/229] Time 0.386 (0.708) Loss 2.2129 (2.3260) Prec@1 50.625 (41.456) Prec@5 72.500 (73.908) Test: [100/229] Time 1.783 (0.707) Loss 2.1926 (2.3015) Prec@1 43.125 (41.869) Prec@5 81.875 (74.443) Test: [110/229] Time 0.366 (0.695) Loss 2.2400 (2.2796) Prec@1 42.500 (42.382) Prec@5 75.625 (74.797) Test: [120/229] Time 1.669 (0.701) Loss 2.9541 (2.3109) Prec@1 28.125 (41.534) Prec@5 66.875 (74.246) Test: [130/229] Time 0.356 (0.695) Loss 2.3924 (2.3015) Prec@1 41.875 (41.617) Prec@5 67.500 (74.442) Test: [140/229] Time 0.550 (0.693) Loss 2.5901 (2.3049) Prec@1 35.000 (41.454) Prec@5 68.750 (74.512) Test: [150/229] Time 0.436 (0.686) Loss 2.0592 (2.3212) Prec@1 60.000 (41.138) Prec@5 75.000 (74.243) Test: [160/229] Time 0.639 (0.685) Loss 2.1250 (2.3173) Prec@1 55.000 (41.417) Prec@5 80.000 (74.270) Test: [170/229] Time 0.867 (0.688) Loss 2.3861 (2.3215) Prec@1 45.000 (41.283) Prec@5 75.625 (74.145) Test: [180/229] Time 0.723 (0.689) Loss 3.3687 (2.3310) Prec@1 16.875 (41.312) Prec@5 40.000 (73.702) Test: [190/229] Time 0.447 (0.683) Loss 2.0463 (2.3292) Prec@1 40.000 (41.361) Prec@5 86.250 (73.721) Test: [200/229] Time 1.008 (0.684) Loss 2.1433 (2.3229) Prec@1 38.750 (41.477) Prec@5 78.750 (73.952) Test: [210/229] Time 0.326 (0.685) Loss 1.5573 (2.3113) Prec@1 51.875 (41.635) Prec@5 90.000 (74.215) Test: [220/229] Time 0.670 (0.687) Loss 2.3606 (2.3065) Prec@1 40.000 (41.875) Prec@5 78.750 (74.222) * Prec@1 42.237 Prec@5 74.357 Epoch: [15][0/11272] Time 4.961 (4.961) Data 1.904 (1.904) Loss 2.5653 (2.5653) Prec@1 30.625 (30.625) Prec@5 68.125 (68.125) Epoch: [15][10/11272] Time 0.834 (1.175) Data 0.002 (0.175) Loss 2.4651 (2.5467) Prec@1 41.875 (37.557) Prec@5 71.875 (69.261) Epoch: [15][20/11272] Time 0.731 (0.999) Data 0.001 (0.092) Loss 2.5049 (2.5799) Prec@1 35.625 (37.143) Prec@5 69.375 (68.571) Epoch: [15][30/11272] Time 0.878 (0.942) Data 0.003 (0.063) Loss 2.8639 (2.5818) Prec@1 35.000 (36.956) Prec@5 66.250 (68.306) Epoch: [15][40/11272] Time 0.927 (0.910) Data 0.002 (0.048) Loss 2.6140 (2.5903) Prec@1 37.500 (36.768) Prec@5 70.625 (68.369) Epoch: [15][50/11272] Time 0.734 (0.888) Data 0.002 (0.039) Loss 2.6660 (2.5907) Prec@1 35.625 (36.691) Prec@5 66.250 (68.137) Epoch: [15][60/11272] Time 0.746 (0.878) Data 0.001 (0.033) Loss 2.7230 (2.6034) Prec@1 38.750 (36.516) Prec@5 62.500 (68.023) Epoch: [15][70/11272] Time 0.835 (0.869) Data 0.002 (0.028) Loss 2.8122 (2.6116) Prec@1 33.750 (36.364) Prec@5 65.625 (67.702) Epoch: [15][80/11272] Time 0.883 (0.862) Data 0.002 (0.025) Loss 2.6397 (2.6055) Prec@1 31.875 (36.512) Prec@5 68.125 (67.832) Epoch: [15][90/11272] Time 0.730 (0.857) Data 0.001 (0.023) Loss 2.6780 (2.6079) Prec@1 33.125 (36.470) Prec@5 64.375 (67.644) Epoch: [15][100/11272] Time 0.773 (0.852) Data 0.001 (0.021) Loss 2.6826 (2.6106) Prec@1 38.125 (36.522) Prec@5 64.375 (67.512) Epoch: [15][110/11272] Time 0.880 (0.851) Data 0.002 (0.019) Loss 2.6970 (2.6126) Prec@1 36.250 (36.560) Prec@5 66.875 (67.568) Epoch: [15][120/11272] Time 0.860 (0.848) Data 0.002 (0.017) Loss 2.4243 (2.6074) Prec@1 35.000 (36.581) Prec@5 65.000 (67.707) Epoch: [15][130/11272] Time 0.752 (0.846) Data 0.001 (0.016) Loss 2.4193 (2.6105) Prec@1 40.625 (36.522) Prec@5 71.250 (67.767) Epoch: [15][140/11272] Time 0.743 (0.844) Data 0.002 (0.015) Loss 2.6934 (2.6088) Prec@1 37.500 (36.582) Prec@5 65.000 (67.788) Epoch: [15][150/11272] Time 0.868 (0.842) Data 0.002 (0.014) Loss 2.7354 (2.6057) Prec@1 37.500 (36.693) Prec@5 61.250 (67.794) Epoch: [15][160/11272] Time 0.778 (0.840) Data 0.004 (0.014) Loss 2.3857 (2.6018) Prec@1 42.500 (36.793) Prec@5 71.875 (67.911) Epoch: [15][170/11272] Time 0.750 (0.839) Data 0.002 (0.013) Loss 2.7481 (2.6043) Prec@1 33.125 (36.689) Prec@5 61.875 (67.803) Epoch: [15][180/11272] Time 0.902 (0.838) Data 0.002 (0.012) Loss 2.4621 (2.6015) Prec@1 39.375 (36.858) Prec@5 71.250 (67.807) Epoch: [15][190/11272] Time 0.831 (0.836) Data 0.001 (0.012) Loss 2.5876 (2.6020) Prec@1 36.250 (36.813) Prec@5 68.125 (67.795) Epoch: [15][200/11272] Time 0.750 (0.834) Data 0.002 (0.011) Loss 2.6586 (2.6032) Prec@1 36.875 (36.869) Prec@5 68.750 (67.749) Epoch: [15][210/11272] Time 0.745 (0.834) Data 0.001 (0.011) Loss 2.4614 (2.6048) Prec@1 41.250 (36.893) Prec@5 72.500 (67.710) Epoch: [15][220/11272] Time 0.928 (0.834) Data 0.002 (0.010) Loss 2.5300 (2.6045) Prec@1 39.375 (36.926) Prec@5 68.750 (67.689) Epoch: [15][230/11272] Time 0.853 (0.833) Data 0.002 (0.010) Loss 2.6615 (2.6026) Prec@1 34.375 (36.935) Prec@5 66.875 (67.676) Epoch: [15][240/11272] Time 0.756 (0.832) Data 0.001 (0.010) Loss 2.8137 (2.5976) Prec@1 33.750 (37.018) Prec@5 66.875 (67.780) Epoch: [15][250/11272] Time 0.765 (0.831) Data 0.002 (0.009) Loss 2.7404 (2.5979) Prec@1 34.375 (37.047) Prec@5 60.000 (67.712) Epoch: [15][260/11272] Time 0.867 (0.830) Data 0.001 (0.009) Loss 2.4403 (2.5953) Prec@1 40.000 (37.100) Prec@5 70.625 (67.795) Epoch: [15][270/11272] Time 0.906 (0.830) Data 0.002 (0.009) Loss 2.7971 (2.5952) Prec@1 35.000 (37.094) Prec@5 61.250 (67.768) Epoch: [15][280/11272] Time 0.731 (0.829) Data 0.002 (0.008) Loss 2.7400 (2.5954) Prec@1 36.250 (37.097) Prec@5 62.500 (67.722) Epoch: [15][290/11272] Time 0.839 (0.829) Data 0.002 (0.008) Loss 2.5091 (2.5938) Prec@1 38.750 (37.154) Prec@5 65.625 (67.734) Epoch: [15][300/11272] Time 0.956 (0.829) Data 0.002 (0.008) Loss 2.7138 (2.5968) Prec@1 33.125 (37.095) Prec@5 64.375 (67.668) Epoch: [15][310/11272] Time 0.731 (0.828) Data 0.002 (0.008) Loss 2.3588 (2.5963) Prec@1 45.000 (37.094) Prec@5 71.875 (67.641) Epoch: [15][320/11272] Time 0.728 (0.828) Data 0.002 (0.008) Loss 2.6006 (2.5964) Prec@1 37.500 (37.101) Prec@5 69.375 (67.636) Epoch: [15][330/11272] Time 0.891 (0.828) Data 0.002 (0.007) Loss 2.6296 (2.5960) Prec@1 36.250 (37.098) Prec@5 66.250 (67.659) Epoch: [15][340/11272] Time 0.935 (0.828) Data 0.002 (0.007) Loss 2.1794 (2.5969) Prec@1 46.875 (37.082) Prec@5 73.125 (67.619) Epoch: [15][350/11272] Time 0.750 (0.827) Data 0.001 (0.007) Loss 2.2611 (2.5950) Prec@1 43.750 (37.139) Prec@5 71.875 (67.642) Epoch: [15][360/11272] Time 0.771 (0.826) Data 0.002 (0.007) Loss 2.3888 (2.5943) Prec@1 36.250 (37.187) Prec@5 74.375 (67.671) Epoch: [15][370/11272] Time 0.884 (0.827) Data 0.002 (0.007) Loss 2.7371 (2.5922) Prec@1 34.375 (37.209) Prec@5 61.875 (67.719) Epoch: [15][380/11272] Time 0.881 (0.826) Data 0.002 (0.007) Loss 2.5565 (2.5915) Prec@1 33.750 (37.201) Prec@5 70.625 (67.762) Epoch: [15][390/11272] Time 0.725 (0.826) Data 0.001 (0.007) Loss 2.5944 (2.5898) Prec@1 41.250 (37.241) Prec@5 67.500 (67.777) Epoch: [15][400/11272] Time 0.749 (0.825) Data 0.002 (0.006) Loss 2.6521 (2.5888) Prec@1 33.750 (37.274) Prec@5 70.000 (67.795) Epoch: [15][410/11272] Time 0.860 (0.825) Data 0.001 (0.006) Loss 2.5829 (2.5883) Prec@1 43.125 (37.257) Prec@5 67.500 (67.798) Epoch: [15][420/11272] Time 0.787 (0.825) Data 0.004 (0.006) Loss 2.5322 (2.5890) Prec@1 39.375 (37.245) Prec@5 68.750 (67.788) Epoch: [15][430/11272] Time 0.735 (0.824) Data 0.002 (0.006) Loss 2.3604 (2.5889) Prec@1 41.250 (37.230) Prec@5 75.625 (67.791) Epoch: [15][440/11272] Time 0.893 (0.824) Data 0.002 (0.006) Loss 2.4480 (2.5881) Prec@1 41.875 (37.211) Prec@5 69.375 (67.817) Epoch: [15][450/11272] Time 0.822 (0.824) Data 0.001 (0.006) Loss 2.4643 (2.5868) Prec@1 39.375 (37.230) Prec@5 69.375 (67.846) Epoch: [15][460/11272] Time 0.735 (0.824) Data 0.002 (0.006) Loss 2.5303 (2.5882) Prec@1 36.250 (37.175) Prec@5 68.125 (67.813) Epoch: [15][470/11272] Time 0.730 (0.824) Data 0.002 (0.006) Loss 2.8414 (2.5874) Prec@1 31.250 (37.143) Prec@5 65.625 (67.844) Epoch: [15][480/11272] Time 0.931 (0.824) Data 0.002 (0.006) Loss 2.7695 (2.5887) Prec@1 35.625 (37.098) Prec@5 60.625 (67.805) Epoch: [15][490/11272] Time 0.880 (0.824) Data 0.001 (0.006) Loss 2.6728 (2.5885) Prec@1 35.000 (37.105) Prec@5 62.500 (67.786) Epoch: [15][500/11272] Time 0.757 (0.824) Data 0.001 (0.005) Loss 2.7177 (2.5883) Prec@1 34.375 (37.093) Prec@5 60.000 (67.772) Epoch: [15][510/11272] Time 0.750 (0.824) Data 0.002 (0.005) Loss 2.6213 (2.5897) Prec@1 38.750 (37.114) Prec@5 68.750 (67.747) Epoch: [15][520/11272] Time 0.947 (0.824) Data 0.002 (0.005) Loss 2.4513 (2.5893) Prec@1 39.375 (37.109) Prec@5 69.375 (67.745) Epoch: [15][530/11272] Time 0.898 (0.824) Data 0.002 (0.005) Loss 2.4680 (2.5893) Prec@1 43.750 (37.121) Prec@5 70.625 (67.754) Epoch: [15][540/11272] Time 0.755 (0.824) Data 0.002 (0.005) Loss 2.5765 (2.5899) Prec@1 39.375 (37.122) Prec@5 66.875 (67.750) Epoch: [15][550/11272] Time 0.883 (0.824) Data 0.001 (0.005) Loss 2.6299 (2.5913) Prec@1 38.750 (37.078) Prec@5 66.250 (67.711) Epoch: [15][560/11272] Time 0.878 (0.824) Data 0.002 (0.005) Loss 2.8066 (2.5921) Prec@1 31.875 (37.057) Prec@5 66.250 (67.698) Epoch: [15][570/11272] Time 0.727 (0.823) Data 0.001 (0.005) Loss 2.6122 (2.5916) Prec@1 38.750 (37.074) Prec@5 66.250 (67.705) Epoch: [15][580/11272] Time 0.731 (0.823) Data 0.001 (0.005) Loss 2.7044 (2.5914) Prec@1 38.750 (37.068) Prec@5 65.625 (67.700) Epoch: [15][590/11272] Time 0.868 (0.823) Data 0.002 (0.005) Loss 2.8486 (2.5895) Prec@1 28.750 (37.100) Prec@5 65.625 (67.752) Epoch: [15][600/11272] Time 0.888 (0.823) Data 0.002 (0.005) Loss 2.5434 (2.5896) Prec@1 36.875 (37.091) Prec@5 66.875 (67.766) Epoch: [15][610/11272] Time 0.734 (0.822) Data 0.001 (0.005) Loss 2.4879 (2.5910) Prec@1 34.375 (37.054) Prec@5 73.750 (67.756) Epoch: [15][620/11272] Time 0.785 (0.822) Data 0.002 (0.005) Loss 2.6374 (2.5895) Prec@1 34.375 (37.099) Prec@5 66.250 (67.771) Epoch: [15][630/11272] Time 0.874 (0.822) Data 0.002 (0.005) Loss 2.6166 (2.5892) Prec@1 36.875 (37.124) Prec@5 65.625 (67.757) Epoch: [15][640/11272] Time 0.856 (0.822) Data 0.002 (0.005) Loss 2.5406 (2.5887) Prec@1 40.000 (37.137) Prec@5 68.125 (67.764) Epoch: [15][650/11272] Time 0.787 (0.822) Data 0.002 (0.005) Loss 2.3023 (2.5880) Prec@1 40.000 (37.155) Prec@5 74.375 (67.786) Epoch: [15][660/11272] Time 0.734 (0.822) Data 0.001 (0.005) Loss 2.7911 (2.5889) Prec@1 33.125 (37.125) Prec@5 66.875 (67.780) Epoch: [15][670/11272] Time 0.846 (0.822) Data 0.002 (0.005) Loss 2.7954 (2.5889) Prec@1 31.875 (37.140) Prec@5 63.125 (67.768) Epoch: [15][680/11272] Time 0.854 (0.822) Data 0.002 (0.004) Loss 2.1507 (2.5889) Prec@1 44.375 (37.126) Prec@5 78.125 (67.771) Epoch: [15][690/11272] Time 0.731 (0.822) Data 0.001 (0.004) Loss 2.7357 (2.5901) Prec@1 33.125 (37.091) Prec@5 61.250 (67.764) Epoch: [15][700/11272] Time 0.827 (0.822) Data 0.001 (0.004) Loss 2.4251 (2.5899) Prec@1 40.000 (37.073) Prec@5 67.500 (67.751) Epoch: [15][710/11272] Time 0.862 (0.822) Data 0.002 (0.004) Loss 2.6223 (2.5894) Prec@1 35.000 (37.072) Prec@5 71.250 (67.765) Epoch: [15][720/11272] Time 0.747 (0.822) Data 0.001 (0.004) Loss 2.6071 (2.5892) Prec@1 32.500 (37.060) Prec@5 70.625 (67.776) Epoch: [15][730/11272] Time 0.730 (0.821) Data 0.001 (0.004) Loss 2.8653 (2.5891) Prec@1 30.000 (37.065) Prec@5 64.375 (67.785) Epoch: [15][740/11272] Time 0.863 (0.822) Data 0.002 (0.004) Loss 2.7155 (2.5893) Prec@1 35.000 (37.062) Prec@5 66.875 (67.783) Epoch: [15][750/11272] Time 0.853 (0.822) Data 0.002 (0.004) Loss 2.8973 (2.5895) Prec@1 37.500 (37.073) Prec@5 61.875 (67.770) Epoch: [15][760/11272] Time 0.748 (0.822) Data 0.001 (0.004) Loss 2.7097 (2.5905) Prec@1 33.125 (37.057) Prec@5 63.125 (67.730) Epoch: [15][770/11272] Time 0.763 (0.822) Data 0.002 (0.004) Loss 2.4974 (2.5917) Prec@1 37.500 (37.020) Prec@5 66.250 (67.708) Epoch: [15][780/11272] Time 0.803 (0.822) Data 0.001 (0.004) Loss 2.4790 (2.5922) Prec@1 40.000 (37.015) Prec@5 69.375 (67.702) Epoch: [15][790/11272] Time 0.839 (0.822) Data 0.001 (0.004) Loss 2.4038 (2.5929) Prec@1 34.375 (36.998) Prec@5 73.125 (67.683) Epoch: [15][800/11272] Time 0.764 (0.821) Data 0.002 (0.004) Loss 2.4789 (2.5928) Prec@1 43.750 (37.006) Prec@5 69.375 (67.681) Epoch: [15][810/11272] Time 0.780 (0.821) Data 0.001 (0.004) Loss 2.2834 (2.5935) Prec@1 45.000 (37.003) Prec@5 72.500 (67.677) Epoch: [15][820/11272] Time 0.872 (0.821) Data 0.001 (0.004) Loss 2.5487 (2.5936) Prec@1 38.125 (37.007) Prec@5 70.000 (67.683) Epoch: [15][830/11272] Time 0.764 (0.821) Data 0.002 (0.004) Loss 2.4539 (2.5942) Prec@1 33.750 (36.982) Prec@5 70.625 (67.682) Epoch: [15][840/11272] Time 0.728 (0.822) Data 0.002 (0.004) Loss 2.8489 (2.5951) Prec@1 31.875 (36.968) Prec@5 65.625 (67.661) Epoch: [15][850/11272] Time 0.894 (0.822) Data 0.002 (0.004) Loss 2.4462 (2.5953) Prec@1 41.250 (36.968) Prec@5 68.125 (67.656) Epoch: [15][860/11272] Time 0.922 (0.821) Data 0.002 (0.004) Loss 2.7556 (2.5964) Prec@1 36.250 (36.958) Prec@5 61.875 (67.620) Epoch: [15][870/11272] Time 0.721 (0.821) Data 0.001 (0.004) Loss 2.4138 (2.5964) Prec@1 39.375 (36.952) Prec@5 72.500 (67.624) Epoch: [15][880/11272] Time 0.756 (0.821) Data 0.002 (0.004) Loss 2.8337 (2.5975) Prec@1 33.750 (36.937) Prec@5 62.500 (67.593) Epoch: [15][890/11272] Time 0.880 (0.821) Data 0.002 (0.004) Loss 2.4677 (2.5971) Prec@1 41.250 (36.964) Prec@5 67.500 (67.600) Epoch: [15][900/11272] Time 0.907 (0.821) Data 0.002 (0.004) Loss 2.3144 (2.5972) Prec@1 42.500 (36.958) Prec@5 72.500 (67.603) Epoch: [15][910/11272] Time 0.733 (0.821) Data 0.001 (0.004) Loss 2.7021 (2.5973) Prec@1 31.875 (36.959) Prec@5 65.000 (67.593) Epoch: [15][920/11272] Time 0.748 (0.821) Data 0.002 (0.004) Loss 2.6154 (2.5975) Prec@1 34.375 (36.954) Prec@5 71.250 (67.609) Epoch: [15][930/11272] Time 0.873 (0.821) Data 0.002 (0.004) Loss 2.5922 (2.5980) Prec@1 35.625 (36.943) Prec@5 69.375 (67.600) Epoch: [15][940/11272] Time 0.872 (0.821) Data 0.001 (0.004) Loss 2.7987 (2.5984) Prec@1 30.625 (36.926) Prec@5 63.750 (67.599) Epoch: [15][950/11272] Time 0.741 (0.821) Data 0.002 (0.004) Loss 2.5382 (2.5980) Prec@1 33.125 (36.948) Prec@5 70.000 (67.610) Epoch: [15][960/11272] Time 0.887 (0.821) Data 0.002 (0.004) Loss 2.4760 (2.5978) Prec@1 36.875 (36.949) Prec@5 68.750 (67.613) Epoch: [15][970/11272] Time 0.901 (0.821) Data 0.002 (0.004) Loss 2.2630 (2.5977) Prec@1 45.625 (36.963) Prec@5 75.000 (67.618) Epoch: [15][980/11272] Time 0.734 (0.821) Data 0.002 (0.004) Loss 2.4521 (2.5983) Prec@1 41.875 (36.945) Prec@5 71.875 (67.622) Epoch: [15][990/11272] Time 0.738 (0.821) Data 0.001 (0.004) Loss 2.9830 (2.5995) Prec@1 32.500 (36.913) Prec@5 62.500 (67.600) Epoch: [15][1000/11272] Time 0.871 (0.821) Data 0.001 (0.004) Loss 2.5018 (2.5992) Prec@1 34.375 (36.910) Prec@5 71.875 (67.604) Epoch: [15][1010/11272] Time 0.871 (0.821) Data 0.001 (0.004) Loss 2.8576 (2.5988) Prec@1 36.875 (36.929) Prec@5 62.500 (67.615) Epoch: [15][1020/11272] Time 0.733 (0.820) Data 0.001 (0.004) Loss 2.6269 (2.5993) Prec@1 33.750 (36.915) Prec@5 70.625 (67.600) Epoch: [15][1030/11272] Time 0.715 (0.820) Data 0.002 (0.004) Loss 2.7929 (2.6000) Prec@1 35.625 (36.906) Prec@5 61.875 (67.593) Epoch: [15][1040/11272] Time 0.965 (0.821) Data 0.002 (0.004) Loss 2.5544 (2.5994) Prec@1 39.375 (36.911) Prec@5 71.875 (67.604) Epoch: [15][1050/11272] Time 0.851 (0.820) Data 0.002 (0.003) Loss 2.4802 (2.5987) Prec@1 36.875 (36.929) Prec@5 66.250 (67.621) Epoch: [15][1060/11272] Time 0.738 (0.820) Data 0.001 (0.003) Loss 2.5244 (2.5987) Prec@1 38.125 (36.924) Prec@5 66.875 (67.613) Epoch: [15][1070/11272] Time 0.745 (0.820) Data 0.001 (0.003) Loss 2.4818 (2.5990) Prec@1 36.875 (36.913) Prec@5 68.750 (67.605) Epoch: [15][1080/11272] Time 0.907 (0.820) Data 0.002 (0.003) Loss 2.6790 (2.5995) Prec@1 36.875 (36.902) Prec@5 65.000 (67.601) Epoch: [15][1090/11272] Time 0.809 (0.820) Data 0.003 (0.003) Loss 2.7745 (2.5998) Prec@1 35.625 (36.909) Prec@5 63.125 (67.587) Epoch: [15][1100/11272] Time 0.748 (0.820) Data 0.002 (0.003) Loss 2.7183 (2.6002) Prec@1 36.875 (36.902) Prec@5 64.375 (67.585) Epoch: [15][1110/11272] Time 0.903 (0.821) Data 0.001 (0.003) Loss 2.5003 (2.6002) Prec@1 38.750 (36.902) Prec@5 66.875 (67.583) Epoch: [15][1120/11272] Time 0.916 (0.821) Data 0.002 (0.003) Loss 2.6524 (2.6007) Prec@1 34.375 (36.873) Prec@5 66.875 (67.575) Epoch: [15][1130/11272] Time 0.743 (0.821) Data 0.002 (0.003) Loss 2.8364 (2.6008) Prec@1 29.375 (36.877) Prec@5 63.125 (67.583) Epoch: [15][1140/11272] Time 0.735 (0.821) Data 0.002 (0.003) Loss 2.3804 (2.6010) Prec@1 36.875 (36.870) Prec@5 75.625 (67.574) Epoch: [15][1150/11272] Time 0.904 (0.821) Data 0.002 (0.003) Loss 2.5916 (2.6013) Prec@1 38.750 (36.862) Prec@5 71.250 (67.573) Epoch: [15][1160/11272] Time 0.923 (0.821) Data 0.002 (0.003) Loss 2.7134 (2.6017) Prec@1 33.750 (36.852) Prec@5 64.375 (67.562) Epoch: [15][1170/11272] Time 0.735 (0.821) Data 0.001 (0.003) Loss 2.7022 (2.6026) Prec@1 31.875 (36.839) Prec@5 65.000 (67.546) Epoch: [15][1180/11272] Time 0.750 (0.821) Data 0.002 (0.003) Loss 2.3470 (2.6023) Prec@1 41.875 (36.843) Prec@5 71.875 (67.556) Epoch: [15][1190/11272] Time 0.937 (0.821) Data 0.002 (0.003) Loss 2.6112 (2.6019) Prec@1 34.375 (36.850) Prec@5 65.625 (67.569) Epoch: [15][1200/11272] Time 0.918 (0.821) Data 0.002 (0.003) Loss 2.4700 (2.6014) Prec@1 35.625 (36.851) Prec@5 70.000 (67.588) Epoch: [15][1210/11272] Time 0.744 (0.821) Data 0.001 (0.003) Loss 2.6113 (2.6020) Prec@1 36.250 (36.841) Prec@5 69.375 (67.582) Epoch: [15][1220/11272] Time 0.889 (0.821) Data 0.002 (0.003) Loss 2.3888 (2.6022) Prec@1 43.750 (36.839) Prec@5 71.875 (67.577) Epoch: [15][1230/11272] Time 0.911 (0.821) Data 0.002 (0.003) Loss 2.6809 (2.6031) Prec@1 38.125 (36.818) Prec@5 65.000 (67.555) Epoch: [15][1240/11272] Time 0.746 (0.821) Data 0.002 (0.003) Loss 2.9473 (2.6030) Prec@1 31.250 (36.824) Prec@5 60.000 (67.551) Epoch: [15][1250/11272] Time 0.772 (0.821) Data 0.001 (0.003) Loss 2.5546 (2.6028) Prec@1 42.500 (36.824) Prec@5 66.250 (67.551) Epoch: [15][1260/11272] Time 0.925 (0.821) Data 0.002 (0.003) Loss 2.6293 (2.6029) Prec@1 31.250 (36.823) Prec@5 63.125 (67.543) Epoch: [15][1270/11272] Time 0.871 (0.821) Data 0.002 (0.003) Loss 2.6471 (2.6025) Prec@1 38.750 (36.841) Prec@5 66.875 (67.548) Epoch: [15][1280/11272] Time 0.735 (0.821) Data 0.002 (0.003) Loss 2.6624 (2.6027) Prec@1 37.500 (36.836) Prec@5 65.625 (67.547) Epoch: [15][1290/11272] Time 0.744 (0.821) Data 0.002 (0.003) Loss 2.6010 (2.6030) Prec@1 36.875 (36.831) Prec@5 68.125 (67.541) Epoch: [15][1300/11272] Time 0.871 (0.821) Data 0.002 (0.003) Loss 2.3859 (2.6029) Prec@1 41.875 (36.839) Prec@5 71.250 (67.542) Epoch: [15][1310/11272] Time 0.916 (0.821) Data 0.002 (0.003) Loss 2.3775 (2.6028) Prec@1 40.625 (36.843) Prec@5 71.875 (67.552) Epoch: [15][1320/11272] Time 0.739 (0.821) Data 0.001 (0.003) Loss 2.6327 (2.6030) Prec@1 38.125 (36.838) Prec@5 65.625 (67.547) Epoch: [15][1330/11272] Time 0.749 (0.821) Data 0.002 (0.003) Loss 2.8562 (2.6046) Prec@1 30.000 (36.815) Prec@5 60.625 (67.516) Epoch: [15][1340/11272] Time 0.911 (0.821) Data 0.002 (0.003) Loss 2.6490 (2.6045) Prec@1 33.750 (36.808) Prec@5 65.000 (67.511) Epoch: [15][1350/11272] Time 0.784 (0.821) Data 0.005 (0.003) Loss 2.4575 (2.6045) Prec@1 37.500 (36.817) Prec@5 68.125 (67.506) Epoch: [15][1360/11272] Time 0.741 (0.821) Data 0.001 (0.003) Loss 2.6572 (2.6040) Prec@1 33.125 (36.825) Prec@5 63.750 (67.506) Epoch: [15][1370/11272] Time 0.869 (0.821) Data 0.002 (0.003) Loss 2.7570 (2.6043) Prec@1 30.000 (36.819) Prec@5 62.500 (67.490) Epoch: [15][1380/11272] Time 0.930 (0.821) Data 0.002 (0.003) Loss 2.7926 (2.6044) Prec@1 38.125 (36.820) Prec@5 63.125 (67.477) Epoch: [15][1390/11272] Time 0.732 (0.821) Data 0.002 (0.003) Loss 2.9026 (2.6041) Prec@1 26.250 (36.824) Prec@5 63.750 (67.487) Epoch: [15][1400/11272] Time 0.737 (0.821) Data 0.001 (0.003) Loss 2.6398 (2.6039) Prec@1 31.875 (36.835) Prec@5 67.500 (67.490) Epoch: [15][1410/11272] Time 0.816 (0.821) Data 0.002 (0.003) Loss 2.6269 (2.6039) Prec@1 40.000 (36.827) Prec@5 64.375 (67.485) Epoch: [15][1420/11272] Time 0.863 (0.820) Data 0.002 (0.003) Loss 2.2987 (2.6038) Prec@1 35.625 (36.821) Prec@5 75.625 (67.489) Epoch: [15][1430/11272] Time 0.731 (0.821) Data 0.001 (0.003) Loss 2.5697 (2.6040) Prec@1 35.000 (36.816) Prec@5 65.625 (67.483) Epoch: [15][1440/11272] Time 0.746 (0.820) Data 0.001 (0.003) Loss 2.4780 (2.6040) Prec@1 36.875 (36.814) Prec@5 69.375 (67.484) Epoch: [15][1450/11272] Time 0.883 (0.820) Data 0.002 (0.003) Loss 2.6819 (2.6043) Prec@1 34.375 (36.807) Prec@5 66.875 (67.470) Epoch: [15][1460/11272] Time 0.893 (0.820) Data 0.002 (0.003) Loss 2.5678 (2.6045) Prec@1 35.625 (36.795) Prec@5 70.000 (67.467) Epoch: [15][1470/11272] Time 0.729 (0.820) Data 0.001 (0.003) Loss 2.5174 (2.6048) Prec@1 37.500 (36.799) Prec@5 67.500 (67.462) Epoch: [15][1480/11272] Time 0.894 (0.820) Data 0.002 (0.003) Loss 2.6707 (2.6044) Prec@1 39.375 (36.801) Prec@5 66.250 (67.465) Epoch: [15][1490/11272] Time 0.864 (0.820) Data 0.002 (0.003) Loss 2.4310 (2.6043) Prec@1 42.500 (36.796) Prec@5 71.250 (67.469) Epoch: [15][1500/11272] Time 0.756 (0.821) Data 0.001 (0.003) Loss 2.4032 (2.6040) Prec@1 41.875 (36.812) Prec@5 69.375 (67.471) Epoch: [15][1510/11272] Time 0.771 (0.821) Data 0.002 (0.003) Loss 2.4648 (2.6035) Prec@1 35.625 (36.814) Prec@5 70.000 (67.477) Epoch: [15][1520/11272] Time 1.020 (0.821) Data 0.002 (0.003) Loss 2.5229 (2.6037) Prec@1 38.750 (36.809) Prec@5 69.375 (67.479) Epoch: [15][1530/11272] Time 0.947 (0.821) Data 0.002 (0.003) Loss 2.3775 (2.6035) Prec@1 43.125 (36.812) Prec@5 70.625 (67.481) Epoch: [15][1540/11272] Time 0.736 (0.821) Data 0.002 (0.003) Loss 2.7701 (2.6036) Prec@1 30.625 (36.811) Prec@5 63.125 (67.479) Epoch: [15][1550/11272] Time 0.743 (0.821) Data 0.001 (0.003) Loss 2.7563 (2.6038) Prec@1 31.875 (36.796) Prec@5 65.000 (67.473) Epoch: [15][1560/11272] Time 0.921 (0.821) Data 0.002 (0.003) Loss 2.4109 (2.6032) Prec@1 37.500 (36.811) Prec@5 70.000 (67.491) Epoch: [15][1570/11272] Time 0.848 (0.821) Data 0.002 (0.003) Loss 2.7892 (2.6032) Prec@1 35.000 (36.818) Prec@5 61.875 (67.489) Epoch: [15][1580/11272] Time 0.762 (0.821) Data 0.002 (0.003) Loss 2.5796 (2.6032) Prec@1 37.500 (36.813) Prec@5 68.750 (67.494) Epoch: [15][1590/11272] Time 0.735 (0.821) Data 0.001 (0.003) Loss 2.5386 (2.6039) Prec@1 35.000 (36.806) Prec@5 70.000 (67.491) Epoch: [15][1600/11272] Time 0.900 (0.821) Data 0.002 (0.003) Loss 2.7364 (2.6039) Prec@1 32.500 (36.799) Prec@5 66.250 (67.488) Epoch: [15][1610/11272] Time 0.888 (0.821) Data 0.002 (0.003) Loss 2.6817 (2.6041) Prec@1 33.125 (36.808) Prec@5 68.750 (67.488) Epoch: [15][1620/11272] Time 0.788 (0.821) Data 0.002 (0.003) Loss 2.5142 (2.6040) Prec@1 39.375 (36.809) Prec@5 66.250 (67.491) Epoch: [15][1630/11272] Time 0.842 (0.821) Data 0.002 (0.003) Loss 2.5744 (2.6042) Prec@1 38.750 (36.813) Prec@5 68.750 (67.483) Epoch: [15][1640/11272] Time 0.918 (0.821) Data 0.002 (0.003) Loss 2.5655 (2.6042) Prec@1 33.125 (36.809) Prec@5 66.875 (67.484) Epoch: [15][1650/11272] Time 0.730 (0.820) Data 0.001 (0.003) Loss 2.4807 (2.6045) Prec@1 36.875 (36.792) Prec@5 71.875 (67.479) Epoch: [15][1660/11272] Time 0.737 (0.821) Data 0.002 (0.003) Loss 2.8195 (2.6051) Prec@1 29.375 (36.785) Prec@5 66.250 (67.467) Epoch: [15][1670/11272] Time 0.924 (0.821) Data 0.001 (0.003) Loss 2.4955 (2.6050) Prec@1 37.500 (36.790) Prec@5 65.000 (67.461) Epoch: [15][1680/11272] Time 0.933 (0.821) Data 0.002 (0.003) Loss 2.5594 (2.6050) Prec@1 36.250 (36.788) Prec@5 68.750 (67.456) Epoch: [15][1690/11272] Time 0.735 (0.821) Data 0.001 (0.003) Loss 2.4938 (2.6052) Prec@1 33.750 (36.783) Prec@5 70.000 (67.453) Epoch: [15][1700/11272] Time 0.745 (0.821) Data 0.001 (0.003) Loss 2.4942 (2.6052) Prec@1 35.000 (36.782) Prec@5 71.250 (67.451) Epoch: [15][1710/11272] Time 0.879 (0.821) Data 0.001 (0.003) Loss 2.4023 (2.6052) Prec@1 41.875 (36.780) Prec@5 70.000 (67.457) Epoch: [15][1720/11272] Time 0.890 (0.821) Data 0.002 (0.003) Loss 2.5338 (2.6054) Prec@1 37.500 (36.780) Prec@5 71.250 (67.453) Epoch: [15][1730/11272] Time 0.717 (0.821) Data 0.001 (0.003) Loss 2.9248 (2.6061) Prec@1 32.500 (36.774) Prec@5 61.250 (67.439) Epoch: [15][1740/11272] Time 0.754 (0.821) Data 0.001 (0.003) Loss 2.7096 (2.6063) Prec@1 40.000 (36.773) Prec@5 66.875 (67.438) Epoch: [15][1750/11272] Time 0.871 (0.821) Data 0.002 (0.003) Loss 2.6649 (2.6064) Prec@1 38.750 (36.769) Prec@5 67.500 (67.440) Epoch: [15][1760/11272] Time 0.738 (0.821) Data 0.001 (0.003) Loss 2.4652 (2.6067) Prec@1 44.375 (36.764) Prec@5 69.375 (67.432) Epoch: [15][1770/11272] Time 0.757 (0.821) Data 0.001 (0.003) Loss 2.5777 (2.6071) Prec@1 33.125 (36.753) Prec@5 66.875 (67.430) Epoch: [15][1780/11272] Time 0.866 (0.821) Data 0.002 (0.003) Loss 2.7372 (2.6070) Prec@1 36.875 (36.757) Prec@5 62.500 (67.429) Epoch: [15][1790/11272] Time 0.856 (0.821) Data 0.002 (0.003) Loss 2.6440 (2.6073) Prec@1 33.750 (36.748) Prec@5 65.000 (67.417) Epoch: [15][1800/11272] Time 0.730 (0.820) Data 0.002 (0.003) Loss 2.6259 (2.6072) Prec@1 40.625 (36.748) Prec@5 65.000 (67.426) Epoch: [15][1810/11272] Time 0.786 (0.820) Data 0.002 (0.003) Loss 2.7879 (2.6074) Prec@1 28.750 (36.744) Prec@5 61.875 (67.420) Epoch: [15][1820/11272] Time 0.937 (0.820) Data 0.002 (0.003) Loss 2.6035 (2.6074) Prec@1 40.625 (36.745) Prec@5 66.250 (67.425) Epoch: [15][1830/11272] Time 0.901 (0.820) Data 0.003 (0.003) Loss 2.7324 (2.6075) Prec@1 40.000 (36.744) Prec@5 61.875 (67.426) Epoch: [15][1840/11272] Time 0.727 (0.820) Data 0.002 (0.003) Loss 2.7637 (2.6079) Prec@1 36.250 (36.740) Prec@5 65.000 (67.421) Epoch: [15][1850/11272] Time 0.733 (0.820) Data 0.002 (0.003) Loss 2.2773 (2.6080) Prec@1 38.750 (36.741) Prec@5 75.625 (67.414) Epoch: [15][1860/11272] Time 0.872 (0.820) Data 0.002 (0.003) Loss 2.7284 (2.6080) Prec@1 33.125 (36.739) Prec@5 66.875 (67.415) Epoch: [15][1870/11272] Time 0.864 (0.820) Data 0.002 (0.003) Loss 2.8883 (2.6083) Prec@1 31.875 (36.741) Prec@5 64.375 (67.416) Epoch: [15][1880/11272] Time 0.761 (0.820) Data 0.002 (0.003) Loss 2.4549 (2.6078) Prec@1 31.875 (36.749) Prec@5 71.875 (67.425) Epoch: [15][1890/11272] Time 0.878 (0.820) Data 0.001 (0.003) Loss 2.5079 (2.6079) Prec@1 36.875 (36.742) Prec@5 71.250 (67.420) Epoch: [15][1900/11272] Time 0.893 (0.820) Data 0.002 (0.003) Loss 2.6533 (2.6079) Prec@1 38.125 (36.745) Prec@5 65.625 (67.424) Epoch: [15][1910/11272] Time 0.724 (0.820) Data 0.002 (0.003) Loss 2.4898 (2.6076) Prec@1 36.250 (36.750) Prec@5 72.500 (67.433) Epoch: [15][1920/11272] Time 0.770 (0.820) Data 0.002 (0.003) Loss 2.9277 (2.6084) Prec@1 26.875 (36.729) Prec@5 62.500 (67.418) Epoch: [15][1930/11272] Time 0.859 (0.820) Data 0.002 (0.003) Loss 2.6017 (2.6082) Prec@1 35.000 (36.729) Prec@5 70.625 (67.422) Epoch: [15][1940/11272] Time 0.836 (0.820) Data 0.002 (0.003) Loss 2.7313 (2.6085) Prec@1 31.875 (36.722) Prec@5 68.750 (67.423) Epoch: [15][1950/11272] Time 0.758 (0.820) Data 0.002 (0.003) Loss 2.5293 (2.6088) Prec@1 32.500 (36.715) Prec@5 68.125 (67.415) Epoch: [15][1960/11272] Time 0.746 (0.820) Data 0.001 (0.003) Loss 2.6763 (2.6090) Prec@1 38.125 (36.717) Prec@5 63.125 (67.405) Epoch: [15][1970/11272] Time 0.852 (0.820) Data 0.001 (0.003) Loss 2.6130 (2.6089) Prec@1 38.125 (36.722) Prec@5 69.375 (67.402) Epoch: [15][1980/11272] Time 0.918 (0.820) Data 0.002 (0.003) Loss 2.7168 (2.6084) Prec@1 36.250 (36.731) Prec@5 68.125 (67.414) Epoch: [15][1990/11272] Time 0.765 (0.820) Data 0.002 (0.003) Loss 2.6768 (2.6081) Prec@1 33.125 (36.730) Prec@5 67.500 (67.423) Epoch: [15][2000/11272] Time 0.740 (0.820) Data 0.001 (0.003) Loss 2.9249 (2.6082) Prec@1 33.750 (36.734) Prec@5 61.875 (67.416) Epoch: [15][2010/11272] Time 0.886 (0.820) Data 0.002 (0.003) Loss 2.6089 (2.6077) Prec@1 35.625 (36.745) Prec@5 65.625 (67.421) Epoch: [15][2020/11272] Time 0.767 (0.819) Data 0.004 (0.003) Loss 2.7223 (2.6079) Prec@1 37.500 (36.746) Prec@5 63.125 (67.416) Epoch: [15][2030/11272] Time 0.751 (0.819) Data 0.001 (0.003) Loss 2.4599 (2.6076) Prec@1 43.125 (36.755) Prec@5 69.375 (67.416) Epoch: [15][2040/11272] Time 0.909 (0.819) Data 0.002 (0.003) Loss 2.4873 (2.6073) Prec@1 36.250 (36.755) Prec@5 70.625 (67.423) Epoch: [15][2050/11272] Time 0.852 (0.819) Data 0.002 (0.003) Loss 2.5749 (2.6071) Prec@1 36.250 (36.760) Prec@5 65.000 (67.418) Epoch: [15][2060/11272] Time 0.744 (0.819) Data 0.002 (0.003) Loss 2.8139 (2.6073) Prec@1 35.625 (36.750) Prec@5 62.500 (67.414) Epoch: [15][2070/11272] Time 0.740 (0.819) Data 0.001 (0.003) Loss 2.6665 (2.6073) Prec@1 33.125 (36.750) Prec@5 65.625 (67.410) Epoch: [15][2080/11272] Time 0.892 (0.819) Data 0.002 (0.003) Loss 2.2359 (2.6072) Prec@1 46.875 (36.746) Prec@5 74.375 (67.410) Epoch: [15][2090/11272] Time 0.834 (0.819) Data 0.001 (0.003) Loss 2.8380 (2.6072) Prec@1 35.625 (36.750) Prec@5 61.875 (67.416) Epoch: [15][2100/11272] Time 0.736 (0.819) Data 0.001 (0.003) Loss 2.5353 (2.6073) Prec@1 41.875 (36.745) Prec@5 68.750 (67.413) Epoch: [15][2110/11272] Time 0.765 (0.819) Data 0.002 (0.003) Loss 2.6450 (2.6074) Prec@1 30.625 (36.746) Prec@5 63.750 (67.411) Epoch: [15][2120/11272] Time 0.849 (0.819) Data 0.001 (0.003) Loss 2.6609 (2.6074) Prec@1 36.875 (36.747) Prec@5 66.250 (67.412) Epoch: [15][2130/11272] Time 0.861 (0.819) Data 0.002 (0.003) Loss 2.4606 (2.6074) Prec@1 38.750 (36.748) Prec@5 67.500 (67.408) Epoch: [15][2140/11272] Time 0.762 (0.819) Data 0.001 (0.003) Loss 2.5349 (2.6074) Prec@1 38.125 (36.753) Prec@5 71.875 (67.414) Epoch: [15][2150/11272] Time 0.865 (0.819) Data 0.002 (0.003) Loss 2.3660 (2.6070) Prec@1 41.250 (36.756) Prec@5 70.000 (67.420) Epoch: [15][2160/11272] Time 0.877 (0.819) Data 0.001 (0.003) Loss 2.7747 (2.6073) Prec@1 31.250 (36.742) Prec@5 65.000 (67.418) Epoch: [15][2170/11272] Time 0.767 (0.819) Data 0.001 (0.003) Loss 2.5792 (2.6071) Prec@1 35.000 (36.749) Prec@5 72.500 (67.428) Epoch: [15][2180/11272] Time 0.755 (0.819) Data 0.002 (0.003) Loss 2.6886 (2.6067) Prec@1 34.375 (36.751) Prec@5 65.000 (67.436) Epoch: [15][2190/11272] Time 0.870 (0.819) Data 0.001 (0.003) Loss 2.7160 (2.6071) Prec@1 38.125 (36.743) Prec@5 66.250 (67.430) Epoch: [15][2200/11272] Time 0.839 (0.819) Data 0.001 (0.003) Loss 2.6911 (2.6069) Prec@1 33.750 (36.748) Prec@5 63.750 (67.424) Epoch: [15][2210/11272] Time 0.735 (0.819) Data 0.001 (0.003) Loss 2.5993 (2.6071) Prec@1 41.875 (36.755) Prec@5 65.625 (67.414) Epoch: [15][2220/11272] Time 0.767 (0.819) Data 0.003 (0.003) Loss 2.3746 (2.6070) Prec@1 40.000 (36.755) Prec@5 68.125 (67.418) Epoch: [15][2230/11272] Time 0.860 (0.818) Data 0.002 (0.003) Loss 3.0240 (2.6071) Prec@1 28.125 (36.753) Prec@5 60.000 (67.415) Epoch: [15][2240/11272] Time 0.842 (0.818) Data 0.001 (0.003) Loss 2.6905 (2.6071) Prec@1 34.375 (36.755) Prec@5 63.125 (67.417) Epoch: [15][2250/11272] Time 0.736 (0.818) Data 0.002 (0.003) Loss 2.5552 (2.6064) Prec@1 39.375 (36.771) Prec@5 69.375 (67.432) Epoch: [15][2260/11272] Time 0.747 (0.818) Data 0.001 (0.003) Loss 2.8846 (2.6063) Prec@1 34.375 (36.771) Prec@5 63.750 (67.438) Epoch: [15][2270/11272] Time 0.884 (0.818) Data 0.002 (0.003) Loss 2.2401 (2.6065) Prec@1 41.250 (36.761) Prec@5 71.875 (67.437) Epoch: [15][2280/11272] Time 0.800 (0.818) Data 0.003 (0.003) Loss 2.6346 (2.6064) Prec@1 41.250 (36.765) Prec@5 69.375 (67.442) Epoch: [15][2290/11272] Time 0.729 (0.818) Data 0.001 (0.003) Loss 2.7269 (2.6063) Prec@1 40.000 (36.764) Prec@5 63.125 (67.441) Epoch: [15][2300/11272] Time 0.877 (0.818) Data 0.002 (0.003) Loss 2.3352 (2.6063) Prec@1 43.125 (36.765) Prec@5 73.125 (67.445) Epoch: [15][2310/11272] Time 0.848 (0.818) Data 0.001 (0.003) Loss 2.6778 (2.6064) Prec@1 38.125 (36.758) Prec@5 68.125 (67.444) Epoch: [15][2320/11272] Time 0.729 (0.818) Data 0.001 (0.002) Loss 2.3499 (2.6063) Prec@1 45.000 (36.765) Prec@5 74.375 (67.446) Epoch: [15][2330/11272] Time 0.744 (0.818) Data 0.001 (0.002) Loss 2.4947 (2.6062) Prec@1 40.625 (36.765) Prec@5 71.875 (67.446) Epoch: [15][2340/11272] Time 0.952 (0.818) Data 0.002 (0.002) Loss 2.8593 (2.6065) Prec@1 36.250 (36.760) Prec@5 67.500 (67.439) Epoch: [15][2350/11272] Time 0.844 (0.818) Data 0.001 (0.002) Loss 2.6355 (2.6064) Prec@1 33.750 (36.758) Prec@5 68.125 (67.440) Epoch: [15][2360/11272] Time 0.789 (0.818) Data 0.002 (0.002) Loss 2.5281 (2.6064) Prec@1 36.875 (36.755) Prec@5 70.000 (67.445) Epoch: [15][2370/11272] Time 0.746 (0.818) Data 0.002 (0.002) Loss 2.5772 (2.6064) Prec@1 35.000 (36.756) Prec@5 68.125 (67.449) Epoch: [15][2380/11272] Time 0.870 (0.818) Data 0.004 (0.002) Loss 2.7164 (2.6067) Prec@1 41.250 (36.751) Prec@5 65.625 (67.443) Epoch: [15][2390/11272] Time 0.851 (0.818) Data 0.002 (0.002) Loss 2.3114 (2.6067) Prec@1 42.500 (36.746) Prec@5 71.875 (67.445) Epoch: [15][2400/11272] Time 0.743 (0.818) Data 0.001 (0.002) Loss 2.6886 (2.6066) Prec@1 35.625 (36.746) Prec@5 63.125 (67.449) Epoch: [15][2410/11272] Time 0.879 (0.818) Data 0.001 (0.002) Loss 2.6840 (2.6064) Prec@1 35.000 (36.748) Prec@5 67.500 (67.450) Epoch: [15][2420/11272] Time 0.861 (0.818) Data 0.002 (0.002) Loss 2.8460 (2.6066) Prec@1 38.750 (36.752) Prec@5 62.500 (67.449) Epoch: [15][2430/11272] Time 0.785 (0.818) Data 0.002 (0.002) Loss 2.5404 (2.6064) Prec@1 36.250 (36.756) Prec@5 74.375 (67.453) Epoch: [15][2440/11272] Time 0.757 (0.818) Data 0.001 (0.002) Loss 2.6246 (2.6065) Prec@1 35.625 (36.756) Prec@5 66.875 (67.449) Epoch: [15][2450/11272] Time 0.883 (0.818) Data 0.002 (0.002) Loss 2.6639 (2.6067) Prec@1 32.500 (36.748) Prec@5 66.875 (67.447) Epoch: [15][2460/11272] Time 0.829 (0.817) Data 0.001 (0.002) Loss 2.4961 (2.6067) Prec@1 40.625 (36.749) Prec@5 69.375 (67.448) Epoch: [15][2470/11272] Time 0.737 (0.817) Data 0.001 (0.002) Loss 2.7012 (2.6071) Prec@1 36.875 (36.745) Prec@5 66.250 (67.439) Epoch: [15][2480/11272] Time 0.726 (0.817) Data 0.001 (0.002) Loss 2.5161 (2.6072) Prec@1 42.500 (36.739) Prec@5 67.500 (67.437) Epoch: [15][2490/11272] Time 0.841 (0.817) Data 0.001 (0.002) Loss 2.5406 (2.6072) Prec@1 37.500 (36.740) Prec@5 65.625 (67.430) Epoch: [15][2500/11272] Time 0.858 (0.817) Data 0.002 (0.002) Loss 2.8584 (2.6072) Prec@1 33.750 (36.740) Prec@5 64.375 (67.430) Epoch: [15][2510/11272] Time 0.731 (0.817) Data 0.002 (0.002) Loss 2.6193 (2.6071) Prec@1 35.625 (36.744) Prec@5 66.250 (67.430) Epoch: [15][2520/11272] Time 0.766 (0.817) Data 0.001 (0.002) Loss 2.4615 (2.6073) Prec@1 45.625 (36.742) Prec@5 69.375 (67.423) Epoch: [15][2530/11272] Time 0.826 (0.817) Data 0.001 (0.002) Loss 2.4547 (2.6074) Prec@1 36.875 (36.741) Prec@5 70.000 (67.419) Epoch: [15][2540/11272] Time 0.913 (0.817) Data 0.002 (0.002) Loss 2.6005 (2.6076) Prec@1 33.125 (36.737) Prec@5 67.500 (67.416) Epoch: [15][2550/11272] Time 0.733 (0.817) Data 0.001 (0.002) Loss 2.7515 (2.6076) Prec@1 35.625 (36.740) Prec@5 65.000 (67.416) Epoch: [15][2560/11272] Time 0.942 (0.817) Data 0.002 (0.002) Loss 2.6886 (2.6077) Prec@1 36.875 (36.735) Prec@5 66.250 (67.412) Epoch: [15][2570/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.3836 (2.6075) Prec@1 38.125 (36.737) Prec@5 71.250 (67.417) Epoch: [15][2580/11272] Time 0.747 (0.817) Data 0.001 (0.002) Loss 2.6066 (2.6072) Prec@1 35.625 (36.739) Prec@5 66.250 (67.425) Epoch: [15][2590/11272] Time 0.745 (0.817) Data 0.002 (0.002) Loss 2.6151 (2.6073) Prec@1 37.500 (36.739) Prec@5 66.250 (67.423) Epoch: [15][2600/11272] Time 0.850 (0.817) Data 0.002 (0.002) Loss 2.7069 (2.6073) Prec@1 35.000 (36.737) Prec@5 66.875 (67.426) Epoch: [15][2610/11272] Time 0.844 (0.817) Data 0.001 (0.002) Loss 2.8738 (2.6074) Prec@1 34.375 (36.734) Prec@5 61.250 (67.426) Epoch: [15][2620/11272] Time 0.733 (0.817) Data 0.002 (0.002) Loss 2.3215 (2.6069) Prec@1 40.000 (36.740) Prec@5 75.625 (67.439) Epoch: [15][2630/11272] Time 0.765 (0.817) Data 0.001 (0.002) Loss 2.6636 (2.6067) Prec@1 31.250 (36.743) Prec@5 68.125 (67.446) Epoch: [15][2640/11272] Time 0.832 (0.817) Data 0.001 (0.002) Loss 2.6228 (2.6066) Prec@1 35.625 (36.741) Prec@5 68.750 (67.450) Epoch: [15][2650/11272] Time 0.856 (0.817) Data 0.001 (0.002) Loss 2.8000 (2.6069) Prec@1 31.250 (36.738) Prec@5 64.375 (67.444) Epoch: [15][2660/11272] Time 0.743 (0.817) Data 0.001 (0.002) Loss 2.7019 (2.6072) Prec@1 33.125 (36.731) Prec@5 66.875 (67.437) Epoch: [15][2670/11272] Time 0.732 (0.817) Data 0.001 (0.002) Loss 2.8520 (2.6077) Prec@1 33.750 (36.728) Prec@5 61.250 (67.431) Epoch: [15][2680/11272] Time 0.900 (0.817) Data 0.002 (0.002) Loss 2.4138 (2.6076) Prec@1 45.000 (36.730) Prec@5 69.375 (67.432) Epoch: [15][2690/11272] Time 0.729 (0.817) Data 0.001 (0.002) Loss 2.6452 (2.6074) Prec@1 36.250 (36.735) Prec@5 66.875 (67.433) Epoch: [15][2700/11272] Time 0.759 (0.817) Data 0.001 (0.002) Loss 2.5544 (2.6072) Prec@1 35.000 (36.737) Prec@5 66.250 (67.437) Epoch: [15][2710/11272] Time 0.891 (0.817) Data 0.002 (0.002) Loss 2.6686 (2.6072) Prec@1 36.250 (36.735) Prec@5 66.250 (67.440) Epoch: [15][2720/11272] Time 0.972 (0.817) Data 0.001 (0.002) Loss 2.5054 (2.6070) Prec@1 39.375 (36.737) Prec@5 66.875 (67.442) Epoch: [15][2730/11272] Time 0.740 (0.817) Data 0.002 (0.002) Loss 2.6097 (2.6071) Prec@1 36.250 (36.739) Prec@5 65.625 (67.437) Epoch: [15][2740/11272] Time 0.748 (0.817) Data 0.002 (0.002) Loss 2.7420 (2.6069) Prec@1 31.250 (36.746) Prec@5 66.875 (67.443) Epoch: [15][2750/11272] Time 0.861 (0.817) Data 0.002 (0.002) Loss 2.8085 (2.6070) Prec@1 31.875 (36.736) Prec@5 62.500 (67.439) Epoch: [15][2760/11272] Time 0.891 (0.816) Data 0.002 (0.002) Loss 2.7772 (2.6070) Prec@1 29.375 (36.738) Prec@5 68.125 (67.443) Epoch: [15][2770/11272] Time 0.723 (0.816) Data 0.002 (0.002) Loss 2.1669 (2.6070) Prec@1 44.375 (36.740) Prec@5 72.500 (67.441) Epoch: [15][2780/11272] Time 0.746 (0.816) Data 0.001 (0.002) Loss 2.5680 (2.6068) Prec@1 41.875 (36.747) Prec@5 67.500 (67.446) Epoch: [15][2790/11272] Time 0.841 (0.816) Data 0.001 (0.002) Loss 2.6938 (2.6070) Prec@1 35.000 (36.746) Prec@5 67.500 (67.451) Epoch: [15][2800/11272] Time 0.873 (0.816) Data 0.002 (0.002) Loss 2.5417 (2.6073) Prec@1 34.375 (36.740) Prec@5 66.875 (67.442) Epoch: [15][2810/11272] Time 0.724 (0.816) Data 0.002 (0.002) Loss 2.6784 (2.6072) Prec@1 36.250 (36.738) Prec@5 65.625 (67.437) Epoch: [15][2820/11272] Time 0.811 (0.816) Data 0.001 (0.002) Loss 2.6945 (2.6073) Prec@1 41.250 (36.742) Prec@5 66.875 (67.436) Epoch: [15][2830/11272] Time 0.845 (0.816) Data 0.001 (0.002) Loss 2.5431 (2.6073) Prec@1 41.250 (36.742) Prec@5 67.500 (67.433) Epoch: [15][2840/11272] Time 0.781 (0.816) Data 0.001 (0.002) Loss 2.4694 (2.6074) Prec@1 32.500 (36.740) Prec@5 67.500 (67.428) Epoch: [15][2850/11272] Time 0.731 (0.816) Data 0.001 (0.002) Loss 2.7775 (2.6073) Prec@1 35.625 (36.742) Prec@5 65.000 (67.434) Epoch: [15][2860/11272] Time 0.861 (0.816) Data 0.002 (0.002) Loss 2.9236 (2.6072) Prec@1 31.250 (36.743) Prec@5 67.500 (67.437) Epoch: [15][2870/11272] Time 0.862 (0.816) Data 0.002 (0.002) Loss 2.5793 (2.6073) Prec@1 37.500 (36.746) Prec@5 63.750 (67.431) Epoch: [15][2880/11272] Time 0.747 (0.816) Data 0.002 (0.002) Loss 2.5997 (2.6073) Prec@1 39.375 (36.742) Prec@5 68.750 (67.431) Epoch: [15][2890/11272] Time 0.786 (0.816) Data 0.002 (0.002) Loss 2.8440 (2.6074) Prec@1 30.000 (36.740) Prec@5 70.000 (67.432) Epoch: [15][2900/11272] Time 0.857 (0.816) Data 0.001 (0.002) Loss 2.6022 (2.6075) Prec@1 36.875 (36.738) Prec@5 66.875 (67.429) Epoch: [15][2910/11272] Time 0.896 (0.816) Data 0.002 (0.002) Loss 2.5813 (2.6078) Prec@1 40.000 (36.732) Prec@5 67.500 (67.423) Epoch: [15][2920/11272] Time 0.728 (0.816) Data 0.001 (0.002) Loss 2.3724 (2.6078) Prec@1 46.250 (36.728) Prec@5 73.125 (67.423) Epoch: [15][2930/11272] Time 0.746 (0.816) Data 0.002 (0.002) Loss 2.7911 (2.6081) Prec@1 36.250 (36.723) Prec@5 65.000 (67.415) Epoch: [15][2940/11272] Time 0.848 (0.816) Data 0.001 (0.002) Loss 2.6140 (2.6078) Prec@1 37.500 (36.729) Prec@5 70.000 (67.422) Epoch: [15][2950/11272] Time 0.757 (0.816) Data 0.003 (0.002) Loss 2.6534 (2.6077) Prec@1 35.625 (36.729) Prec@5 68.125 (67.425) Epoch: [15][2960/11272] Time 0.732 (0.816) Data 0.001 (0.002) Loss 2.6321 (2.6079) Prec@1 34.375 (36.726) Prec@5 64.375 (67.425) Epoch: [15][2970/11272] Time 0.877 (0.816) Data 0.002 (0.002) Loss 2.4098 (2.6078) Prec@1 37.500 (36.723) Prec@5 74.375 (67.424) Epoch: [15][2980/11272] Time 0.867 (0.816) Data 0.001 (0.002) Loss 2.6845 (2.6077) Prec@1 34.375 (36.728) Prec@5 68.125 (67.432) Epoch: [15][2990/11272] Time 0.741 (0.816) Data 0.001 (0.002) Loss 2.5535 (2.6077) Prec@1 40.625 (36.730) Prec@5 67.500 (67.430) Epoch: [15][3000/11272] Time 0.747 (0.816) Data 0.002 (0.002) Loss 2.6283 (2.6075) Prec@1 32.500 (36.735) Prec@5 66.875 (67.428) Epoch: [15][3010/11272] Time 0.868 (0.816) Data 0.002 (0.002) Loss 2.6567 (2.6073) Prec@1 40.625 (36.737) Prec@5 68.750 (67.430) Epoch: [15][3020/11272] Time 0.834 (0.816) Data 0.001 (0.002) Loss 2.9040 (2.6076) Prec@1 33.750 (36.735) Prec@5 61.875 (67.427) Epoch: [15][3030/11272] Time 0.750 (0.816) Data 0.002 (0.002) Loss 2.6727 (2.6080) Prec@1 33.750 (36.729) Prec@5 68.125 (67.423) Epoch: [15][3040/11272] Time 0.803 (0.816) Data 0.002 (0.002) Loss 2.5451 (2.6082) Prec@1 36.875 (36.721) Prec@5 69.375 (67.419) Epoch: [15][3050/11272] Time 0.921 (0.816) Data 0.002 (0.002) Loss 2.4730 (2.6085) Prec@1 36.250 (36.718) Prec@5 66.250 (67.415) Epoch: [15][3060/11272] Time 0.915 (0.816) Data 0.002 (0.002) Loss 2.4510 (2.6083) Prec@1 36.250 (36.719) Prec@5 70.625 (67.414) Epoch: [15][3070/11272] Time 0.733 (0.816) Data 0.002 (0.002) Loss 2.7198 (2.6081) Prec@1 38.125 (36.724) Prec@5 62.500 (67.418) Epoch: [15][3080/11272] Time 0.809 (0.816) Data 0.001 (0.002) Loss 2.8665 (2.6080) Prec@1 36.250 (36.722) Prec@5 60.625 (67.419) Epoch: [15][3090/11272] Time 0.844 (0.816) Data 0.002 (0.002) Loss 2.6704 (2.6079) Prec@1 35.000 (36.727) Prec@5 66.875 (67.422) Epoch: [15][3100/11272] Time 0.720 (0.815) Data 0.001 (0.002) Loss 2.4494 (2.6078) Prec@1 42.500 (36.726) Prec@5 70.000 (67.430) Epoch: [15][3110/11272] Time 0.782 (0.815) Data 0.002 (0.002) Loss 2.5344 (2.6077) Prec@1 39.375 (36.733) Prec@5 69.375 (67.433) Epoch: [15][3120/11272] Time 0.877 (0.815) Data 0.002 (0.002) Loss 2.4353 (2.6076) Prec@1 40.000 (36.736) Prec@5 70.000 (67.437) Epoch: [15][3130/11272] Time 0.826 (0.815) Data 0.001 (0.002) Loss 2.5350 (2.6073) Prec@1 41.875 (36.740) Prec@5 68.125 (67.443) Epoch: [15][3140/11272] Time 0.730 (0.815) Data 0.001 (0.002) Loss 2.7395 (2.6073) Prec@1 33.750 (36.737) Prec@5 69.375 (67.443) Epoch: [15][3150/11272] Time 0.748 (0.815) Data 0.001 (0.002) Loss 2.6443 (2.6075) Prec@1 31.875 (36.728) Prec@5 68.125 (67.435) Epoch: [15][3160/11272] Time 0.869 (0.815) Data 0.002 (0.002) Loss 2.7984 (2.6077) Prec@1 30.000 (36.722) Prec@5 69.375 (67.434) Epoch: [15][3170/11272] Time 0.865 (0.815) Data 0.002 (0.002) Loss 2.4554 (2.6078) Prec@1 43.125 (36.729) Prec@5 69.375 (67.433) Epoch: [15][3180/11272] Time 0.717 (0.815) Data 0.001 (0.002) Loss 2.8290 (2.6078) Prec@1 33.750 (36.721) Prec@5 63.125 (67.429) Epoch: [15][3190/11272] Time 0.738 (0.815) Data 0.002 (0.002) Loss 2.4611 (2.6077) Prec@1 41.875 (36.725) Prec@5 65.000 (67.435) Epoch: [15][3200/11272] Time 0.888 (0.815) Data 0.002 (0.002) Loss 2.6220 (2.6078) Prec@1 38.750 (36.722) Prec@5 65.625 (67.435) Epoch: [15][3210/11272] Time 0.730 (0.815) Data 0.003 (0.002) Loss 2.6119 (2.6080) Prec@1 33.750 (36.716) Prec@5 68.125 (67.431) Epoch: [15][3220/11272] Time 0.765 (0.815) Data 0.001 (0.002) Loss 2.4632 (2.6079) Prec@1 37.500 (36.719) Prec@5 71.875 (67.433) Epoch: [15][3230/11272] Time 0.851 (0.815) Data 0.001 (0.002) Loss 2.5401 (2.6078) Prec@1 42.500 (36.720) Prec@5 71.875 (67.437) Epoch: [15][3240/11272] Time 0.865 (0.815) Data 0.002 (0.002) Loss 2.7680 (2.6080) Prec@1 33.125 (36.715) Prec@5 68.125 (67.435) Epoch: [15][3250/11272] Time 0.728 (0.815) Data 0.001 (0.002) Loss 2.5470 (2.6080) Prec@1 37.500 (36.713) Prec@5 66.875 (67.439) Epoch: [15][3260/11272] Time 0.711 (0.815) Data 0.001 (0.002) Loss 2.5054 (2.6080) Prec@1 40.000 (36.711) Prec@5 68.125 (67.437) Epoch: [15][3270/11272] Time 0.869 (0.815) Data 0.002 (0.002) Loss 2.7156 (2.6081) Prec@1 31.250 (36.710) Prec@5 66.875 (67.436) Epoch: [15][3280/11272] Time 0.878 (0.815) Data 0.002 (0.002) Loss 2.5640 (2.6080) Prec@1 41.250 (36.715) Prec@5 70.625 (67.434) Epoch: [15][3290/11272] Time 0.764 (0.815) Data 0.002 (0.002) Loss 2.5686 (2.6081) Prec@1 33.750 (36.713) Prec@5 69.375 (67.435) Epoch: [15][3300/11272] Time 0.788 (0.815) Data 0.002 (0.002) Loss 2.5679 (2.6080) Prec@1 34.375 (36.713) Prec@5 69.375 (67.437) Epoch: [15][3310/11272] Time 0.887 (0.815) Data 0.002 (0.002) Loss 2.5468 (2.6081) Prec@1 36.250 (36.709) Prec@5 69.375 (67.435) Epoch: [15][3320/11272] Time 0.899 (0.815) Data 0.002 (0.002) Loss 2.5188 (2.6080) Prec@1 40.000 (36.712) Prec@5 68.750 (67.439) Epoch: [15][3330/11272] Time 0.731 (0.815) Data 0.001 (0.002) Loss 2.6224 (2.6081) Prec@1 31.875 (36.704) Prec@5 60.625 (67.433) Epoch: [15][3340/11272] Time 0.826 (0.815) Data 0.001 (0.002) Loss 2.7851 (2.6080) Prec@1 35.000 (36.706) Prec@5 67.500 (67.436) Epoch: [15][3350/11272] Time 0.858 (0.815) Data 0.002 (0.002) Loss 2.4927 (2.6078) Prec@1 36.250 (36.706) Prec@5 72.500 (67.443) Epoch: [15][3360/11272] Time 0.740 (0.815) Data 0.001 (0.002) Loss 2.7297 (2.6079) Prec@1 34.375 (36.705) Prec@5 66.875 (67.442) Epoch: [15][3370/11272] Time 0.725 (0.815) Data 0.001 (0.002) Loss 2.5974 (2.6080) Prec@1 40.625 (36.708) Prec@5 65.625 (67.444) Epoch: [15][3380/11272] Time 0.881 (0.815) Data 0.002 (0.002) Loss 2.5527 (2.6079) Prec@1 30.625 (36.708) Prec@5 71.875 (67.447) Epoch: [15][3390/11272] Time 0.885 (0.815) Data 0.002 (0.002) Loss 2.9721 (2.6079) Prec@1 35.625 (36.704) Prec@5 58.750 (67.447) Epoch: [15][3400/11272] Time 0.750 (0.815) Data 0.001 (0.002) Loss 2.7535 (2.6080) Prec@1 36.875 (36.700) Prec@5 65.625 (67.445) Epoch: [15][3410/11272] Time 0.729 (0.815) Data 0.001 (0.002) Loss 2.6737 (2.6079) Prec@1 28.750 (36.699) Prec@5 66.875 (67.453) Epoch: [15][3420/11272] Time 0.879 (0.815) Data 0.003 (0.002) Loss 2.7376 (2.6078) Prec@1 33.750 (36.701) Prec@5 65.000 (67.455) Epoch: [15][3430/11272] Time 0.883 (0.815) Data 0.003 (0.002) Loss 2.6735 (2.6078) Prec@1 34.375 (36.700) Prec@5 69.375 (67.461) Epoch: [15][3440/11272] Time 0.764 (0.815) Data 0.004 (0.002) Loss 2.7892 (2.6080) Prec@1 31.875 (36.692) Prec@5 65.000 (67.459) Epoch: [15][3450/11272] Time 0.733 (0.815) Data 0.002 (0.002) Loss 2.7141 (2.6080) Prec@1 33.125 (36.693) Prec@5 62.500 (67.456) Epoch: [15][3460/11272] Time 0.887 (0.815) Data 0.002 (0.002) Loss 2.3429 (2.6079) Prec@1 40.625 (36.694) Prec@5 73.750 (67.459) Epoch: [15][3470/11272] Time 0.831 (0.815) Data 0.001 (0.002) Loss 2.6210 (2.6079) Prec@1 38.750 (36.693) Prec@5 63.125 (67.456) Epoch: [15][3480/11272] Time 0.734 (0.815) Data 0.001 (0.002) Loss 2.7090 (2.6077) Prec@1 37.500 (36.700) Prec@5 66.875 (67.464) Epoch: [15][3490/11272] Time 0.844 (0.815) Data 0.001 (0.002) Loss 2.5845 (2.6076) Prec@1 36.875 (36.702) Prec@5 68.750 (67.467) Epoch: [15][3500/11272] Time 0.899 (0.815) Data 0.001 (0.002) Loss 2.3671 (2.6076) Prec@1 42.500 (36.702) Prec@5 70.000 (67.466) Epoch: [15][3510/11272] Time 0.729 (0.815) Data 0.001 (0.002) Loss 2.7211 (2.6077) Prec@1 31.875 (36.700) Prec@5 63.125 (67.459) Epoch: [15][3520/11272] Time 0.774 (0.815) Data 0.002 (0.002) Loss 2.6201 (2.6076) Prec@1 37.500 (36.702) Prec@5 68.750 (67.464) Epoch: [15][3530/11272] Time 0.817 (0.815) Data 0.001 (0.002) Loss 2.8823 (2.6079) Prec@1 27.500 (36.696) Prec@5 63.750 (67.459) Epoch: [15][3540/11272] Time 0.837 (0.815) Data 0.001 (0.002) Loss 2.4415 (2.6080) Prec@1 39.375 (36.699) Prec@5 70.625 (67.457) Epoch: [15][3550/11272] Time 0.722 (0.814) Data 0.001 (0.002) Loss 2.4369 (2.6079) Prec@1 42.500 (36.698) Prec@5 70.000 (67.456) Epoch: [15][3560/11272] Time 0.734 (0.815) Data 0.002 (0.002) Loss 2.6271 (2.6081) Prec@1 30.625 (36.697) Prec@5 69.375 (67.452) Epoch: [15][3570/11272] Time 0.892 (0.815) Data 0.002 (0.002) Loss 2.8406 (2.6082) Prec@1 31.875 (36.693) Prec@5 60.000 (67.450) Epoch: [15][3580/11272] Time 0.843 (0.815) Data 0.002 (0.002) Loss 2.3202 (2.6082) Prec@1 36.875 (36.694) Prec@5 73.750 (67.450) Epoch: [15][3590/11272] Time 0.751 (0.815) Data 0.002 (0.002) Loss 2.9595 (2.6084) Prec@1 30.625 (36.688) Prec@5 61.250 (67.442) Epoch: [15][3600/11272] Time 0.798 (0.814) Data 0.001 (0.002) Loss 2.6747 (2.6084) Prec@1 34.375 (36.687) Prec@5 64.375 (67.440) Epoch: [15][3610/11272] Time 0.898 (0.814) Data 0.002 (0.002) Loss 2.6568 (2.6084) Prec@1 33.125 (36.690) Prec@5 64.375 (67.443) Epoch: [15][3620/11272] Time 0.767 (0.814) Data 0.001 (0.002) Loss 2.3830 (2.6083) Prec@1 39.375 (36.692) Prec@5 73.750 (67.443) Epoch: [15][3630/11272] Time 0.728 (0.814) Data 0.001 (0.002) Loss 2.7210 (2.6085) Prec@1 33.750 (36.687) Prec@5 61.250 (67.436) Epoch: [15][3640/11272] Time 0.899 (0.814) Data 0.002 (0.002) Loss 2.4136 (2.6084) Prec@1 40.000 (36.684) Prec@5 75.000 (67.440) Epoch: [15][3650/11272] Time 0.841 (0.814) Data 0.001 (0.002) Loss 2.6247 (2.6084) Prec@1 26.875 (36.679) Prec@5 71.250 (67.441) Epoch: [15][3660/11272] Time 0.747 (0.814) Data 0.002 (0.002) Loss 2.4023 (2.6082) Prec@1 38.125 (36.682) Prec@5 72.500 (67.443) Epoch: [15][3670/11272] Time 0.723 (0.814) Data 0.002 (0.002) Loss 2.4845 (2.6080) Prec@1 38.750 (36.685) Prec@5 70.000 (67.445) Epoch: [15][3680/11272] Time 0.846 (0.814) Data 0.002 (0.002) Loss 2.5514 (2.6082) Prec@1 40.000 (36.683) Prec@5 68.125 (67.441) Epoch: [15][3690/11272] Time 0.844 (0.814) Data 0.001 (0.002) Loss 2.3343 (2.6083) Prec@1 43.750 (36.681) Prec@5 70.000 (67.436) Epoch: [15][3700/11272] Time 0.762 (0.814) Data 0.001 (0.002) Loss 2.5815 (2.6084) Prec@1 37.500 (36.679) Prec@5 70.625 (67.437) Epoch: [15][3710/11272] Time 0.702 (0.814) Data 0.001 (0.002) Loss 2.6163 (2.6083) Prec@1 35.000 (36.678) Prec@5 68.125 (67.438) Epoch: [15][3720/11272] Time 0.922 (0.814) Data 0.002 (0.002) Loss 2.4304 (2.6083) Prec@1 40.000 (36.678) Prec@5 70.625 (67.439) Epoch: [15][3730/11272] Time 0.843 (0.814) Data 0.001 (0.002) Loss 2.9030 (2.6085) Prec@1 29.375 (36.676) Prec@5 56.875 (67.434) Epoch: [15][3740/11272] Time 0.748 (0.814) Data 0.001 (0.002) Loss 2.3355 (2.6084) Prec@1 38.125 (36.678) Prec@5 74.375 (67.438) Epoch: [15][3750/11272] Time 0.865 (0.814) Data 0.001 (0.002) Loss 2.4519 (2.6082) Prec@1 34.375 (36.678) Prec@5 75.000 (67.442) Epoch: [15][3760/11272] Time 0.886 (0.814) Data 0.002 (0.002) Loss 2.4789 (2.6079) Prec@1 41.875 (36.683) Prec@5 69.375 (67.445) Epoch: [15][3770/11272] Time 0.742 (0.814) Data 0.001 (0.002) Loss 2.7858 (2.6080) Prec@1 31.250 (36.680) Prec@5 61.875 (67.443) Epoch: [15][3780/11272] Time 0.745 (0.814) Data 0.001 (0.002) Loss 2.7350 (2.6082) Prec@1 34.375 (36.678) Prec@5 66.250 (67.438) Epoch: [15][3790/11272] Time 0.891 (0.814) Data 0.002 (0.002) Loss 2.5309 (2.6082) Prec@1 40.625 (36.680) Prec@5 69.375 (67.441) Epoch: [15][3800/11272] Time 0.870 (0.814) Data 0.002 (0.002) Loss 2.5977 (2.6081) Prec@1 33.125 (36.678) Prec@5 69.375 (67.441) Epoch: [15][3810/11272] Time 0.731 (0.814) Data 0.001 (0.002) Loss 2.4801 (2.6083) Prec@1 38.125 (36.674) Prec@5 71.250 (67.438) Epoch: [15][3820/11272] Time 0.740 (0.814) Data 0.002 (0.002) Loss 2.6943 (2.6084) Prec@1 30.000 (36.673) Prec@5 70.000 (67.436) Epoch: [15][3830/11272] Time 0.873 (0.814) Data 0.001 (0.002) Loss 2.6110 (2.6084) Prec@1 33.125 (36.674) Prec@5 68.750 (67.434) Epoch: [15][3840/11272] Time 0.859 (0.814) Data 0.001 (0.002) Loss 2.7445 (2.6085) Prec@1 37.500 (36.676) Prec@5 61.250 (67.435) Epoch: [15][3850/11272] Time 0.744 (0.814) Data 0.002 (0.002) Loss 2.5067 (2.6086) Prec@1 41.250 (36.675) Prec@5 68.125 (67.433) Epoch: [15][3860/11272] Time 0.749 (0.814) Data 0.001 (0.002) Loss 2.6000 (2.6087) Prec@1 37.500 (36.673) Prec@5 65.625 (67.430) Epoch: [15][3870/11272] Time 0.899 (0.814) Data 0.002 (0.002) Loss 2.6366 (2.6087) Prec@1 35.625 (36.674) Prec@5 68.750 (67.430) Epoch: [15][3880/11272] Time 0.786 (0.814) Data 0.003 (0.002) Loss 2.9288 (2.6089) Prec@1 29.375 (36.669) Prec@5 56.875 (67.422) Epoch: [15][3890/11272] Time 0.759 (0.814) Data 0.002 (0.002) Loss 2.6857 (2.6090) Prec@1 35.000 (36.667) Prec@5 63.750 (67.420) Epoch: [15][3900/11272] Time 0.849 (0.814) Data 0.002 (0.002) Loss 2.3725 (2.6091) Prec@1 45.625 (36.663) Prec@5 71.250 (67.416) Epoch: [15][3910/11272] Time 0.861 (0.814) Data 0.002 (0.002) Loss 2.5869 (2.6092) Prec@1 30.000 (36.657) Prec@5 68.750 (67.416) Epoch: [15][3920/11272] Time 0.742 (0.814) Data 0.001 (0.002) Loss 2.6522 (2.6093) Prec@1 36.875 (36.659) Prec@5 68.750 (67.415) Epoch: [15][3930/11272] Time 0.738 (0.814) Data 0.002 (0.002) Loss 2.8507 (2.6094) Prec@1 32.500 (36.657) Prec@5 60.000 (67.412) Epoch: [15][3940/11272] Time 0.910 (0.814) Data 0.002 (0.002) Loss 2.6229 (2.6096) Prec@1 35.000 (36.657) Prec@5 65.625 (67.407) Epoch: [15][3950/11272] Time 0.868 (0.814) Data 0.002 (0.002) Loss 2.4338 (2.6095) Prec@1 40.000 (36.657) Prec@5 70.625 (67.406) Epoch: [15][3960/11272] Time 0.758 (0.814) Data 0.001 (0.002) Loss 2.6062 (2.6096) Prec@1 40.625 (36.656) Prec@5 70.625 (67.405) Epoch: [15][3970/11272] Time 0.774 (0.814) Data 0.002 (0.002) Loss 2.8201 (2.6099) Prec@1 33.750 (36.647) Prec@5 61.250 (67.401) Epoch: [15][3980/11272] Time 0.922 (0.814) Data 0.002 (0.002) Loss 2.8560 (2.6100) Prec@1 31.875 (36.646) Prec@5 63.125 (67.401) Epoch: [15][3990/11272] Time 0.868 (0.814) Data 0.002 (0.002) Loss 2.5181 (2.6101) Prec@1 40.000 (36.640) Prec@5 66.875 (67.399) Epoch: [15][4000/11272] Time 0.746 (0.814) Data 0.002 (0.002) Loss 2.8659 (2.6103) Prec@1 34.375 (36.637) Prec@5 63.750 (67.397) Epoch: [15][4010/11272] Time 0.840 (0.814) Data 0.001 (0.002) Loss 2.7254 (2.6104) Prec@1 38.125 (36.638) Prec@5 68.750 (67.395) Epoch: [15][4020/11272] Time 0.864 (0.814) Data 0.002 (0.002) Loss 2.4936 (2.6105) Prec@1 43.125 (36.640) Prec@5 69.375 (67.392) Epoch: [15][4030/11272] Time 0.770 (0.814) Data 0.002 (0.002) Loss 2.6294 (2.6106) Prec@1 38.125 (36.645) Prec@5 63.125 (67.389) Epoch: [15][4040/11272] Time 0.753 (0.814) Data 0.002 (0.002) Loss 2.7420 (2.6105) Prec@1 35.625 (36.650) Prec@5 63.750 (67.391) Epoch: [15][4050/11272] Time 0.843 (0.814) Data 0.002 (0.002) Loss 2.6025 (2.6106) Prec@1 38.750 (36.648) Prec@5 67.500 (67.388) Epoch: [15][4060/11272] Time 0.862 (0.814) Data 0.002 (0.002) Loss 2.8023 (2.6105) Prec@1 35.000 (36.648) Prec@5 62.500 (67.388) Epoch: [15][4070/11272] Time 0.733 (0.814) Data 0.001 (0.002) Loss 2.5186 (2.6103) Prec@1 39.375 (36.650) Prec@5 66.250 (67.393) Epoch: [15][4080/11272] Time 0.712 (0.814) Data 0.001 (0.002) Loss 2.5775 (2.6102) Prec@1 36.250 (36.652) Prec@5 70.000 (67.395) Epoch: [15][4090/11272] Time 0.868 (0.814) Data 0.001 (0.002) Loss 2.4337 (2.6102) Prec@1 43.750 (36.651) Prec@5 71.875 (67.395) Epoch: [15][4100/11272] Time 0.864 (0.814) Data 0.002 (0.002) Loss 2.4795 (2.6101) Prec@1 39.375 (36.654) Prec@5 68.750 (67.397) Epoch: [15][4110/11272] Time 0.754 (0.814) Data 0.002 (0.002) Loss 2.8047 (2.6101) Prec@1 36.250 (36.657) Prec@5 60.000 (67.395) Epoch: [15][4120/11272] Time 0.768 (0.814) Data 0.001 (0.002) Loss 2.5983 (2.6100) Prec@1 35.000 (36.657) Prec@5 66.875 (67.396) Epoch: [15][4130/11272] Time 0.878 (0.814) Data 0.003 (0.002) Loss 2.6445 (2.6100) Prec@1 40.625 (36.653) Prec@5 61.875 (67.391) Epoch: [15][4140/11272] Time 0.766 (0.814) Data 0.004 (0.002) Loss 2.6788 (2.6100) Prec@1 28.750 (36.653) Prec@5 65.625 (67.391) Epoch: [15][4150/11272] Time 0.734 (0.814) Data 0.001 (0.002) Loss 2.3919 (2.6101) Prec@1 40.625 (36.654) Prec@5 71.875 (67.391) Epoch: [15][4160/11272] Time 0.864 (0.814) Data 0.001 (0.002) Loss 2.4877 (2.6101) Prec@1 40.000 (36.653) Prec@5 69.375 (67.390) Epoch: [15][4170/11272] Time 0.878 (0.813) Data 0.001 (0.002) Loss 2.6184 (2.6099) Prec@1 38.125 (36.655) Prec@5 66.875 (67.392) Epoch: [15][4180/11272] Time 0.752 (0.813) Data 0.001 (0.002) Loss 2.7451 (2.6099) Prec@1 35.000 (36.655) Prec@5 67.500 (67.390) Epoch: [15][4190/11272] Time 0.728 (0.813) Data 0.002 (0.002) Loss 2.6558 (2.6101) Prec@1 36.875 (36.655) Prec@5 65.000 (67.384) Epoch: [15][4200/11272] Time 0.904 (0.813) Data 0.002 (0.002) Loss 2.6436 (2.6102) Prec@1 36.250 (36.656) Prec@5 61.250 (67.382) Epoch: [15][4210/11272] Time 0.837 (0.813) Data 0.001 (0.002) Loss 2.5664 (2.6101) Prec@1 37.500 (36.658) Prec@5 65.625 (67.383) Epoch: [15][4220/11272] Time 0.764 (0.813) Data 0.002 (0.002) Loss 2.5100 (2.6098) Prec@1 35.625 (36.662) Prec@5 68.125 (67.386) Epoch: [15][4230/11272] Time 0.754 (0.813) Data 0.002 (0.002) Loss 2.5629 (2.6100) Prec@1 31.250 (36.658) Prec@5 69.375 (67.384) Epoch: [15][4240/11272] Time 0.848 (0.813) Data 0.001 (0.002) Loss 2.5628 (2.6100) Prec@1 36.250 (36.658) Prec@5 66.250 (67.381) Epoch: [15][4250/11272] Time 0.825 (0.813) Data 0.001 (0.002) Loss 2.6902 (2.6101) Prec@1 30.625 (36.656) Prec@5 63.750 (67.381) Epoch: [15][4260/11272] Time 0.745 (0.813) Data 0.001 (0.002) Loss 2.6295 (2.6104) Prec@1 34.375 (36.651) Prec@5 69.375 (67.378) Epoch: [15][4270/11272] Time 0.837 (0.813) Data 0.001 (0.002) Loss 2.8312 (2.6103) Prec@1 35.000 (36.652) Prec@5 58.125 (67.378) Epoch: [15][4280/11272] Time 0.923 (0.813) Data 0.002 (0.002) Loss 2.2905 (2.6103) Prec@1 38.125 (36.653) Prec@5 72.500 (67.380) Epoch: [15][4290/11272] Time 0.735 (0.813) Data 0.002 (0.002) Loss 2.5820 (2.6103) Prec@1 36.875 (36.653) Prec@5 70.625 (67.378) Epoch: [15][4300/11272] Time 0.750 (0.813) Data 0.001 (0.002) Loss 2.7297 (2.6104) Prec@1 38.125 (36.655) Prec@5 61.250 (67.374) Epoch: [15][4310/11272] Time 0.870 (0.813) Data 0.002 (0.002) Loss 2.7280 (2.6104) Prec@1 31.250 (36.654) Prec@5 66.875 (67.375) Epoch: [15][4320/11272] Time 0.844 (0.813) Data 0.001 (0.002) Loss 2.8407 (2.6103) Prec@1 31.875 (36.657) Prec@5 61.875 (67.378) Epoch: [15][4330/11272] Time 0.749 (0.813) Data 0.001 (0.002) Loss 2.5380 (2.6101) Prec@1 38.750 (36.661) Prec@5 71.250 (67.382) Epoch: [15][4340/11272] Time 0.752 (0.813) Data 0.001 (0.002) Loss 2.6516 (2.6102) Prec@1 41.250 (36.664) Prec@5 68.125 (67.381) Epoch: [15][4350/11272] Time 0.911 (0.813) Data 0.002 (0.002) Loss 2.7876 (2.6104) Prec@1 33.750 (36.661) Prec@5 64.375 (67.382) Epoch: [15][4360/11272] Time 0.889 (0.813) Data 0.002 (0.002) Loss 2.2317 (2.6104) Prec@1 44.375 (36.660) Prec@5 76.250 (67.380) Epoch: [15][4370/11272] Time 0.745 (0.813) Data 0.001 (0.002) Loss 2.6144 (2.6103) Prec@1 33.125 (36.659) Prec@5 66.250 (67.383) Epoch: [15][4380/11272] Time 0.785 (0.813) Data 0.002 (0.002) Loss 2.5006 (2.6103) Prec@1 32.500 (36.658) Prec@5 71.250 (67.384) Epoch: [15][4390/11272] Time 0.851 (0.813) Data 0.002 (0.002) Loss 2.5169 (2.6101) Prec@1 36.250 (36.661) Prec@5 71.250 (67.390) Epoch: [15][4400/11272] Time 0.845 (0.813) Data 0.002 (0.002) Loss 2.3500 (2.6101) Prec@1 40.625 (36.662) Prec@5 76.250 (67.390) Epoch: [15][4410/11272] Time 0.731 (0.813) Data 0.003 (0.002) Loss 2.5027 (2.6102) Prec@1 40.625 (36.660) Prec@5 67.500 (67.390) Epoch: [15][4420/11272] Time 0.893 (0.813) Data 0.002 (0.002) Loss 2.7293 (2.6102) Prec@1 36.875 (36.661) Prec@5 64.375 (67.392) Epoch: [15][4430/11272] Time 0.877 (0.813) Data 0.002 (0.002) Loss 2.7113 (2.6103) Prec@1 36.250 (36.661) Prec@5 67.500 (67.394) Epoch: [15][4440/11272] Time 0.749 (0.813) Data 0.002 (0.002) Loss 2.6591 (2.6102) Prec@1 37.500 (36.665) Prec@5 70.625 (67.396) Epoch: [15][4450/11272] Time 0.702 (0.813) Data 0.001 (0.002) Loss 2.7774 (2.6102) Prec@1 32.500 (36.668) Prec@5 63.125 (67.397) Epoch: [15][4460/11272] Time 0.854 (0.813) Data 0.001 (0.002) Loss 2.4828 (2.6101) Prec@1 40.000 (36.670) Prec@5 70.625 (67.400) Epoch: [15][4470/11272] Time 0.866 (0.813) Data 0.002 (0.002) Loss 2.4669 (2.6099) Prec@1 38.750 (36.677) Prec@5 65.000 (67.401) Epoch: [15][4480/11272] Time 0.734 (0.813) Data 0.001 (0.002) Loss 2.6225 (2.6101) Prec@1 43.125 (36.676) Prec@5 67.500 (67.397) Epoch: [15][4490/11272] Time 0.728 (0.813) Data 0.001 (0.002) Loss 2.6173 (2.6103) Prec@1 37.500 (36.672) Prec@5 66.250 (67.394) Epoch: [15][4500/11272] Time 0.869 (0.813) Data 0.001 (0.002) Loss 2.4690 (2.6101) Prec@1 35.000 (36.676) Prec@5 70.625 (67.398) Epoch: [15][4510/11272] Time 0.890 (0.813) Data 0.002 (0.002) Loss 2.8377 (2.6102) Prec@1 34.375 (36.672) Prec@5 68.125 (67.396) Epoch: [15][4520/11272] Time 0.744 (0.813) Data 0.001 (0.002) Loss 2.4164 (2.6103) Prec@1 41.875 (36.671) Prec@5 70.000 (67.394) Epoch: [15][4530/11272] Time 0.763 (0.813) Data 0.002 (0.002) Loss 2.9153 (2.6102) Prec@1 31.875 (36.674) Prec@5 60.000 (67.390) Epoch: [15][4540/11272] Time 0.868 (0.813) Data 0.001 (0.002) Loss 2.6494 (2.6102) Prec@1 34.375 (36.672) Prec@5 67.500 (67.391) Epoch: [15][4550/11272] Time 0.796 (0.813) Data 0.002 (0.002) Loss 2.7796 (2.6104) Prec@1 31.875 (36.667) Prec@5 65.625 (67.388) Epoch: [15][4560/11272] Time 0.737 (0.813) Data 0.001 (0.002) Loss 2.6330 (2.6104) Prec@1 36.875 (36.665) Prec@5 65.000 (67.388) Epoch: [15][4570/11272] Time 0.852 (0.813) Data 0.001 (0.002) Loss 2.6822 (2.6104) Prec@1 35.000 (36.666) Prec@5 63.125 (67.387) Epoch: [15][4580/11272] Time 0.890 (0.813) Data 0.003 (0.002) Loss 2.7606 (2.6104) Prec@1 33.750 (36.666) Prec@5 60.000 (67.385) Epoch: [15][4590/11272] Time 0.715 (0.813) Data 0.001 (0.002) Loss 2.4843 (2.6104) Prec@1 39.375 (36.668) Prec@5 67.500 (67.386) Epoch: [15][4600/11272] Time 0.736 (0.813) Data 0.001 (0.002) Loss 2.7108 (2.6105) Prec@1 33.125 (36.664) Prec@5 68.125 (67.385) Epoch: [15][4610/11272] Time 0.849 (0.813) Data 0.001 (0.002) Loss 2.7019 (2.6105) Prec@1 32.500 (36.664) Prec@5 66.250 (67.385) Epoch: [15][4620/11272] Time 0.837 (0.813) Data 0.002 (0.002) Loss 2.5824 (2.6106) Prec@1 33.750 (36.661) Prec@5 69.375 (67.384) Epoch: [15][4630/11272] Time 0.742 (0.813) Data 0.002 (0.002) Loss 2.8015 (2.6106) Prec@1 36.875 (36.664) Prec@5 64.375 (67.380) Epoch: [15][4640/11272] Time 0.731 (0.813) Data 0.001 (0.002) Loss 2.6171 (2.6105) Prec@1 35.625 (36.667) Prec@5 67.500 (67.380) Epoch: [15][4650/11272] Time 0.856 (0.813) Data 0.002 (0.002) Loss 2.5652 (2.6106) Prec@1 34.375 (36.665) Prec@5 68.125 (67.375) Epoch: [15][4660/11272] Time 0.876 (0.813) Data 0.002 (0.002) Loss 2.6315 (2.6107) Prec@1 38.750 (36.667) Prec@5 67.500 (67.372) Epoch: [15][4670/11272] Time 0.730 (0.813) Data 0.001 (0.002) Loss 2.7167 (2.6111) Prec@1 35.000 (36.662) Prec@5 66.250 (67.366) Epoch: [15][4680/11272] Time 0.848 (0.813) Data 0.002 (0.002) Loss 2.6742 (2.6111) Prec@1 36.875 (36.661) Prec@5 66.875 (67.361) Epoch: [15][4690/11272] Time 0.890 (0.813) Data 0.002 (0.002) Loss 2.5833 (2.6112) Prec@1 34.375 (36.659) Prec@5 71.250 (67.361) Epoch: [15][4700/11272] Time 0.739 (0.813) Data 0.001 (0.002) Loss 2.7502 (2.6112) Prec@1 30.000 (36.659) Prec@5 63.125 (67.361) Epoch: [15][4710/11272] Time 0.732 (0.813) Data 0.001 (0.002) Loss 2.4372 (2.6113) Prec@1 39.375 (36.659) Prec@5 73.750 (67.361) Epoch: [15][4720/11272] Time 0.836 (0.813) Data 0.001 (0.002) Loss 2.7981 (2.6113) Prec@1 34.375 (36.657) Prec@5 66.250 (67.361) Epoch: [15][4730/11272] Time 0.883 (0.813) Data 0.002 (0.002) Loss 2.5510 (2.6113) Prec@1 36.875 (36.653) Prec@5 67.500 (67.361) Epoch: [15][4740/11272] Time 0.734 (0.813) Data 0.001 (0.002) Loss 2.7135 (2.6112) Prec@1 35.000 (36.655) Prec@5 64.375 (67.364) Epoch: [15][4750/11272] Time 0.733 (0.813) Data 0.001 (0.002) Loss 2.5434 (2.6112) Prec@1 36.250 (36.653) Prec@5 66.250 (67.365) Epoch: [15][4760/11272] Time 0.835 (0.813) Data 0.001 (0.002) Loss 2.6239 (2.6111) Prec@1 41.250 (36.657) Prec@5 68.750 (67.366) Epoch: [15][4770/11272] Time 0.848 (0.813) Data 0.002 (0.002) Loss 2.6414 (2.6112) Prec@1 38.125 (36.657) Prec@5 68.125 (67.363) Epoch: [15][4780/11272] Time 0.724 (0.813) Data 0.001 (0.002) Loss 2.4970 (2.6112) Prec@1 35.000 (36.655) Prec@5 67.500 (67.363) Epoch: [15][4790/11272] Time 0.788 (0.813) Data 0.001 (0.002) Loss 2.6959 (2.6112) Prec@1 33.125 (36.656) Prec@5 65.625 (67.363) Epoch: [15][4800/11272] Time 0.886 (0.813) Data 0.002 (0.002) Loss 2.8246 (2.6112) Prec@1 31.875 (36.655) Prec@5 61.875 (67.363) Epoch: [15][4810/11272] Time 0.731 (0.813) Data 0.003 (0.002) Loss 2.6744 (2.6113) Prec@1 29.375 (36.653) Prec@5 65.000 (67.363) Epoch: [15][4820/11272] Time 0.729 (0.813) Data 0.001 (0.002) Loss 2.6115 (2.6112) Prec@1 38.125 (36.656) Prec@5 71.250 (67.366) Epoch: [15][4830/11272] Time 0.864 (0.813) Data 0.001 (0.002) Loss 2.3847 (2.6113) Prec@1 42.500 (36.658) Prec@5 71.250 (67.363) Epoch: [15][4840/11272] Time 0.899 (0.813) Data 0.002 (0.002) Loss 2.6335 (2.6114) Prec@1 35.625 (36.655) Prec@5 63.750 (67.362) Epoch: [15][4850/11272] Time 0.731 (0.813) Data 0.002 (0.002) Loss 2.6061 (2.6113) Prec@1 38.125 (36.656) Prec@5 67.500 (67.365) Epoch: [15][4860/11272] Time 0.731 (0.813) Data 0.002 (0.002) Loss 2.4929 (2.6112) Prec@1 41.250 (36.659) Prec@5 70.625 (67.366) Epoch: [15][4870/11272] Time 0.891 (0.813) Data 0.002 (0.002) Loss 2.8061 (2.6113) Prec@1 35.625 (36.659) Prec@5 66.250 (67.363) Epoch: [15][4880/11272] Time 0.869 (0.813) Data 0.001 (0.002) Loss 2.3441 (2.6113) Prec@1 43.750 (36.660) Prec@5 73.125 (67.366) Epoch: [15][4890/11272] Time 0.723 (0.813) Data 0.001 (0.002) Loss 2.6322 (2.6113) Prec@1 34.375 (36.658) Prec@5 65.625 (67.367) Epoch: [15][4900/11272] Time 0.792 (0.813) Data 0.002 (0.002) Loss 2.4817 (2.6112) Prec@1 36.875 (36.656) Prec@5 72.500 (67.366) Epoch: [15][4910/11272] Time 0.860 (0.813) Data 0.002 (0.002) Loss 2.4378 (2.6110) Prec@1 47.500 (36.661) Prec@5 71.875 (67.370) Epoch: [15][4920/11272] Time 0.813 (0.812) Data 0.001 (0.002) Loss 2.6370 (2.6110) Prec@1 32.500 (36.660) Prec@5 69.375 (67.371) Epoch: [15][4930/11272] Time 0.761 (0.812) Data 0.001 (0.002) Loss 2.6563 (2.6111) Prec@1 32.500 (36.659) Prec@5 66.250 (67.369) Epoch: [15][4940/11272] Time 0.858 (0.812) Data 0.001 (0.002) Loss 2.6806 (2.6112) Prec@1 35.000 (36.656) Prec@5 61.250 (67.367) Epoch: [15][4950/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.7373 (2.6113) Prec@1 33.125 (36.654) Prec@5 66.875 (67.366) Epoch: [15][4960/11272] Time 0.755 (0.812) Data 0.001 (0.002) Loss 2.4435 (2.6111) Prec@1 35.625 (36.656) Prec@5 71.875 (67.370) Epoch: [15][4970/11272] Time 0.745 (0.812) Data 0.001 (0.002) Loss 2.7241 (2.6113) Prec@1 31.250 (36.649) Prec@5 65.625 (67.365) Epoch: [15][4980/11272] Time 0.884 (0.812) Data 0.001 (0.002) Loss 2.7388 (2.6113) Prec@1 29.375 (36.648) Prec@5 65.625 (67.365) Epoch: [15][4990/11272] Time 0.887 (0.812) Data 0.002 (0.002) Loss 2.7797 (2.6114) Prec@1 39.375 (36.648) Prec@5 59.375 (67.364) Epoch: [15][5000/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.8128 (2.6117) Prec@1 35.625 (36.646) Prec@5 60.000 (67.361) Epoch: [15][5010/11272] Time 0.758 (0.812) Data 0.001 (0.002) Loss 2.9356 (2.6119) Prec@1 31.875 (36.645) Prec@5 61.250 (67.355) Epoch: [15][5020/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.8270 (2.6119) Prec@1 31.875 (36.646) Prec@5 66.250 (67.355) Epoch: [15][5030/11272] Time 0.910 (0.812) Data 0.002 (0.002) Loss 2.6554 (2.6119) Prec@1 33.125 (36.646) Prec@5 68.125 (67.354) Epoch: [15][5040/11272] Time 0.729 (0.812) Data 0.001 (0.002) Loss 2.4960 (2.6118) Prec@1 40.625 (36.649) Prec@5 70.625 (67.357) Epoch: [15][5050/11272] Time 0.728 (0.812) Data 0.001 (0.002) Loss 2.7521 (2.6117) Prec@1 33.125 (36.651) Prec@5 62.500 (67.361) Epoch: [15][5060/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.7496 (2.6118) Prec@1 31.875 (36.650) Prec@5 64.375 (67.361) Epoch: [15][5070/11272] Time 0.776 (0.812) Data 0.004 (0.002) Loss 2.6460 (2.6118) Prec@1 35.000 (36.653) Prec@5 68.125 (67.359) Epoch: [15][5080/11272] Time 0.776 (0.812) Data 0.001 (0.002) Loss 2.7497 (2.6118) Prec@1 30.625 (36.651) Prec@5 65.625 (67.359) Epoch: [15][5090/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.4560 (2.6117) Prec@1 38.750 (36.652) Prec@5 70.625 (67.362) Epoch: [15][5100/11272] Time 0.998 (0.812) Data 0.003 (0.002) Loss 2.4109 (2.6117) Prec@1 39.375 (36.651) Prec@5 72.500 (67.361) Epoch: [15][5110/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.6447 (2.6119) Prec@1 34.375 (36.650) Prec@5 66.875 (67.358) Epoch: [15][5120/11272] Time 0.736 (0.812) Data 0.001 (0.002) Loss 2.7515 (2.6118) Prec@1 38.750 (36.655) Prec@5 66.875 (67.360) Epoch: [15][5130/11272] Time 0.907 (0.812) Data 0.002 (0.002) Loss 2.7838 (2.6118) Prec@1 30.625 (36.653) Prec@5 65.625 (67.362) Epoch: [15][5140/11272] Time 0.852 (0.812) Data 0.001 (0.002) Loss 2.5619 (2.6118) Prec@1 40.000 (36.654) Prec@5 67.500 (67.362) Epoch: [15][5150/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.6244 (2.6120) Prec@1 40.000 (36.650) Prec@5 66.250 (67.359) Epoch: [15][5160/11272] Time 0.722 (0.812) Data 0.001 (0.002) Loss 2.6912 (2.6120) Prec@1 35.000 (36.649) Prec@5 66.875 (67.358) Epoch: [15][5170/11272] Time 0.932 (0.812) Data 0.002 (0.002) Loss 2.7105 (2.6120) Prec@1 34.375 (36.648) Prec@5 65.625 (67.360) Epoch: [15][5180/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 2.5622 (2.6120) Prec@1 39.375 (36.650) Prec@5 61.250 (67.357) Epoch: [15][5190/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 2.5258 (2.6120) Prec@1 39.375 (36.649) Prec@5 71.875 (67.359) Epoch: [15][5200/11272] Time 0.843 (0.812) Data 0.001 (0.002) Loss 2.5814 (2.6120) Prec@1 40.000 (36.649) Prec@5 68.125 (67.358) Epoch: [15][5210/11272] Time 0.858 (0.812) Data 0.001 (0.002) Loss 2.5889 (2.6121) Prec@1 35.000 (36.647) Prec@5 63.125 (67.354) Epoch: [15][5220/11272] Time 0.738 (0.812) Data 0.001 (0.002) Loss 2.5251 (2.6122) Prec@1 40.625 (36.646) Prec@5 70.000 (67.353) Epoch: [15][5230/11272] Time 0.780 (0.812) Data 0.001 (0.002) Loss 2.4824 (2.6121) Prec@1 38.750 (36.645) Prec@5 70.625 (67.354) Epoch: [15][5240/11272] Time 0.828 (0.812) Data 0.001 (0.002) Loss 2.8608 (2.6121) Prec@1 33.750 (36.643) Prec@5 63.125 (67.357) Epoch: [15][5250/11272] Time 0.860 (0.812) Data 0.001 (0.002) Loss 2.4710 (2.6120) Prec@1 37.500 (36.641) Prec@5 72.500 (67.359) Epoch: [15][5260/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.6200 (2.6120) Prec@1 37.500 (36.640) Prec@5 65.625 (67.359) Epoch: [15][5270/11272] Time 0.728 (0.812) Data 0.001 (0.002) Loss 2.3520 (2.6120) Prec@1 41.250 (36.640) Prec@5 73.125 (67.358) Epoch: [15][5280/11272] Time 0.873 (0.812) Data 0.002 (0.002) Loss 2.7769 (2.6120) Prec@1 28.125 (36.638) Prec@5 63.750 (67.356) Epoch: [15][5290/11272] Time 0.897 (0.812) Data 0.002 (0.002) Loss 2.5754 (2.6120) Prec@1 38.750 (36.638) Prec@5 70.625 (67.357) Epoch: [15][5300/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.7794 (2.6121) Prec@1 33.750 (36.637) Prec@5 63.125 (67.356) Epoch: [15][5310/11272] Time 0.784 (0.812) Data 0.002 (0.002) Loss 2.7218 (2.6121) Prec@1 34.375 (36.638) Prec@5 66.875 (67.354) Epoch: [15][5320/11272] Time 0.902 (0.812) Data 0.002 (0.002) Loss 2.5399 (2.6122) Prec@1 37.500 (36.636) Prec@5 67.500 (67.354) Epoch: [15][5330/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.8061 (2.6122) Prec@1 34.375 (36.636) Prec@5 62.500 (67.354) Epoch: [15][5340/11272] Time 0.729 (0.812) Data 0.002 (0.002) Loss 2.4933 (2.6122) Prec@1 37.500 (36.634) Prec@5 66.875 (67.353) Epoch: [15][5350/11272] Time 0.875 (0.812) Data 0.002 (0.002) Loss 2.6364 (2.6121) Prec@1 36.875 (36.638) Prec@5 66.250 (67.355) Epoch: [15][5360/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.5279 (2.6120) Prec@1 36.250 (36.638) Prec@5 70.000 (67.358) Epoch: [15][5370/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.8094 (2.6121) Prec@1 32.500 (36.634) Prec@5 61.875 (67.354) Epoch: [15][5380/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 2.5193 (2.6121) Prec@1 31.250 (36.633) Prec@5 70.000 (67.356) Epoch: [15][5390/11272] Time 0.841 (0.812) Data 0.001 (0.002) Loss 2.6879 (2.6121) Prec@1 30.625 (36.635) Prec@5 68.125 (67.357) Epoch: [15][5400/11272] Time 0.853 (0.812) Data 0.001 (0.002) Loss 2.8150 (2.6121) Prec@1 31.250 (36.636) Prec@5 63.750 (67.356) Epoch: [15][5410/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.6260 (2.6120) Prec@1 34.375 (36.636) Prec@5 68.125 (67.360) Epoch: [15][5420/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.4962 (2.6120) Prec@1 36.875 (36.635) Prec@5 68.125 (67.362) Epoch: [15][5430/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.4169 (2.6118) Prec@1 39.375 (36.638) Prec@5 71.250 (67.364) Epoch: [15][5440/11272] Time 0.835 (0.812) Data 0.001 (0.002) Loss 2.4737 (2.6116) Prec@1 37.500 (36.639) Prec@5 71.875 (67.370) Epoch: [15][5450/11272] Time 0.758 (0.812) Data 0.002 (0.002) Loss 2.7141 (2.6116) Prec@1 35.625 (36.638) Prec@5 70.000 (67.371) Epoch: [15][5460/11272] Time 0.728 (0.812) Data 0.001 (0.002) Loss 2.5591 (2.6117) Prec@1 37.500 (36.636) Prec@5 70.625 (67.373) Epoch: [15][5470/11272] Time 0.939 (0.812) Data 0.001 (0.002) Loss 2.6068 (2.6117) Prec@1 36.875 (36.634) Prec@5 68.125 (67.370) Epoch: [15][5480/11272] Time 0.754 (0.812) Data 0.001 (0.002) Loss 2.6986 (2.6119) Prec@1 33.750 (36.632) Prec@5 69.375 (67.370) Epoch: [15][5490/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.3485 (2.6119) Prec@1 45.000 (36.633) Prec@5 73.750 (67.371) Epoch: [15][5500/11272] Time 0.843 (0.812) Data 0.001 (0.002) Loss 2.5354 (2.6119) Prec@1 36.875 (36.632) Prec@5 66.250 (67.370) Epoch: [15][5510/11272] Time 0.921 (0.812) Data 0.002 (0.002) Loss 2.3164 (2.6119) Prec@1 38.750 (36.629) Prec@5 75.625 (67.371) Epoch: [15][5520/11272] Time 0.794 (0.812) Data 0.001 (0.002) Loss 2.4126 (2.6117) Prec@1 38.750 (36.631) Prec@5 73.750 (67.375) Epoch: [15][5530/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.6001 (2.6119) Prec@1 36.875 (36.627) Prec@5 65.625 (67.371) Epoch: [15][5540/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.5065 (2.6118) Prec@1 36.875 (36.625) Prec@5 69.375 (67.372) Epoch: [15][5550/11272] Time 0.898 (0.812) Data 0.002 (0.002) Loss 2.5195 (2.6118) Prec@1 41.875 (36.625) Prec@5 65.000 (67.370) Epoch: [15][5560/11272] Time 0.772 (0.812) Data 0.001 (0.002) Loss 2.5630 (2.6117) Prec@1 36.875 (36.626) Prec@5 67.500 (67.372) Epoch: [15][5570/11272] Time 0.720 (0.812) Data 0.001 (0.002) Loss 2.7103 (2.6116) Prec@1 38.750 (36.628) Prec@5 65.000 (67.374) Epoch: [15][5580/11272] Time 0.877 (0.812) Data 0.002 (0.002) Loss 2.6930 (2.6117) Prec@1 31.875 (36.627) Prec@5 65.000 (67.371) Epoch: [15][5590/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 2.5737 (2.6117) Prec@1 36.250 (36.628) Prec@5 66.250 (67.371) Epoch: [15][5600/11272] Time 0.748 (0.812) Data 0.001 (0.002) Loss 2.7574 (2.6117) Prec@1 33.750 (36.627) Prec@5 64.375 (67.370) Epoch: [15][5610/11272] Time 0.908 (0.812) Data 0.001 (0.002) Loss 2.3864 (2.6117) Prec@1 40.625 (36.627) Prec@5 73.750 (67.372) Epoch: [15][5620/11272] Time 0.876 (0.812) Data 0.001 (0.002) Loss 2.6869 (2.6116) Prec@1 37.500 (36.628) Prec@5 66.875 (67.372) Epoch: [15][5630/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 2.6693 (2.6116) Prec@1 35.000 (36.630) Prec@5 67.500 (67.371) Epoch: [15][5640/11272] Time 0.754 (0.812) Data 0.001 (0.002) Loss 2.1602 (2.6114) Prec@1 50.625 (36.633) Prec@5 76.250 (67.373) Epoch: [15][5650/11272] Time 0.851 (0.812) Data 0.001 (0.002) Loss 2.5910 (2.6114) Prec@1 37.500 (36.633) Prec@5 72.500 (67.376) Epoch: [15][5660/11272] Time 0.936 (0.812) Data 0.001 (0.002) Loss 2.6409 (2.6113) Prec@1 40.625 (36.635) Prec@5 66.250 (67.380) Epoch: [15][5670/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.5168 (2.6112) Prec@1 39.375 (36.637) Prec@5 68.750 (67.382) Epoch: [15][5680/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.5850 (2.6112) Prec@1 33.750 (36.636) Prec@5 68.125 (67.384) Epoch: [15][5690/11272] Time 0.879 (0.812) Data 0.002 (0.002) Loss 2.6389 (2.6112) Prec@1 36.250 (36.636) Prec@5 65.000 (67.384) Epoch: [15][5700/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.3197 (2.6112) Prec@1 47.500 (36.637) Prec@5 76.250 (67.387) Epoch: [15][5710/11272] Time 0.744 (0.812) Data 0.001 (0.002) Loss 2.6303 (2.6113) Prec@1 35.625 (36.634) Prec@5 70.625 (67.388) Epoch: [15][5720/11272] Time 0.723 (0.812) Data 0.002 (0.002) Loss 2.6418 (2.6114) Prec@1 38.750 (36.636) Prec@5 68.125 (67.388) Epoch: [15][5730/11272] Time 0.900 (0.812) Data 0.002 (0.002) Loss 2.4756 (2.6113) Prec@1 33.750 (36.636) Prec@5 70.625 (67.388) Epoch: [15][5740/11272] Time 0.755 (0.812) Data 0.003 (0.002) Loss 2.6181 (2.6114) Prec@1 38.125 (36.633) Prec@5 67.500 (67.387) Epoch: [15][5750/11272] Time 0.746 (0.812) Data 0.001 (0.002) Loss 2.5323 (2.6114) Prec@1 39.375 (36.632) Prec@5 69.375 (67.386) Epoch: [15][5760/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.5490 (2.6115) Prec@1 33.125 (36.630) Prec@5 69.375 (67.386) Epoch: [15][5770/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.7126 (2.6114) Prec@1 34.375 (36.628) Prec@5 66.250 (67.385) Epoch: [15][5780/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 3.0502 (2.6115) Prec@1 31.875 (36.628) Prec@5 59.375 (67.385) Epoch: [15][5790/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.8879 (2.6115) Prec@1 29.375 (36.625) Prec@5 63.750 (67.382) Epoch: [15][5800/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.5399 (2.6116) Prec@1 41.875 (36.624) Prec@5 66.250 (67.381) Epoch: [15][5810/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.6459 (2.6117) Prec@1 36.250 (36.622) Prec@5 67.500 (67.380) Epoch: [15][5820/11272] Time 0.730 (0.812) Data 0.001 (0.002) Loss 2.5054 (2.6115) Prec@1 36.875 (36.625) Prec@5 68.125 (67.381) Epoch: [15][5830/11272] Time 0.748 (0.812) Data 0.001 (0.002) Loss 2.5636 (2.6115) Prec@1 33.125 (36.624) Prec@5 69.375 (67.383) Epoch: [15][5840/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 2.4579 (2.6115) Prec@1 37.500 (36.623) Prec@5 70.625 (67.383) Epoch: [15][5850/11272] Time 0.868 (0.812) Data 0.002 (0.002) Loss 2.5932 (2.6114) Prec@1 38.125 (36.625) Prec@5 71.250 (67.386) Epoch: [15][5860/11272] Time 0.729 (0.812) Data 0.001 (0.002) Loss 2.7117 (2.6114) Prec@1 33.125 (36.627) Prec@5 60.625 (67.385) Epoch: [15][5870/11272] Time 0.829 (0.812) Data 0.001 (0.002) Loss 2.5466 (2.6115) Prec@1 38.750 (36.625) Prec@5 66.875 (67.382) Epoch: [15][5880/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.8293 (2.6114) Prec@1 25.625 (36.625) Prec@5 67.500 (67.387) Epoch: [15][5890/11272] Time 0.734 (0.811) Data 0.002 (0.002) Loss 2.9335 (2.6114) Prec@1 29.375 (36.623) Prec@5 58.125 (67.385) Epoch: [15][5900/11272] Time 0.738 (0.811) Data 0.001 (0.002) Loss 2.9519 (2.6116) Prec@1 32.500 (36.623) Prec@5 64.375 (67.383) Epoch: [15][5910/11272] Time 0.876 (0.811) Data 0.003 (0.002) Loss 2.5698 (2.6115) Prec@1 37.500 (36.625) Prec@5 67.500 (67.385) Epoch: [15][5920/11272] Time 0.829 (0.811) Data 0.001 (0.002) Loss 2.2010 (2.6115) Prec@1 42.500 (36.624) Prec@5 78.125 (67.383) Epoch: [15][5930/11272] Time 0.743 (0.811) Data 0.002 (0.002) Loss 2.5232 (2.6116) Prec@1 40.625 (36.623) Prec@5 68.750 (67.380) Epoch: [15][5940/11272] Time 0.720 (0.811) Data 0.001 (0.002) Loss 2.5539 (2.6117) Prec@1 38.125 (36.619) Prec@5 71.875 (67.378) Epoch: [15][5950/11272] Time 0.855 (0.811) Data 0.001 (0.002) Loss 2.6652 (2.6118) Prec@1 38.125 (36.618) Prec@5 67.500 (67.378) Epoch: [15][5960/11272] Time 0.833 (0.811) Data 0.001 (0.002) Loss 2.5982 (2.6118) Prec@1 35.000 (36.618) Prec@5 63.750 (67.376) Epoch: [15][5970/11272] Time 0.764 (0.811) Data 0.002 (0.002) Loss 2.4598 (2.6118) Prec@1 35.000 (36.618) Prec@5 72.500 (67.375) Epoch: [15][5980/11272] Time 0.736 (0.811) Data 0.001 (0.002) Loss 2.7017 (2.6118) Prec@1 32.500 (36.620) Prec@5 65.625 (67.376) Epoch: [15][5990/11272] Time 0.861 (0.811) Data 0.001 (0.002) Loss 2.5923 (2.6118) Prec@1 36.875 (36.618) Prec@5 68.750 (67.375) Epoch: [15][6000/11272] Time 0.732 (0.811) Data 0.004 (0.002) Loss 2.7855 (2.6119) Prec@1 35.000 (36.616) Prec@5 60.000 (67.374) Epoch: [15][6010/11272] Time 0.760 (0.811) Data 0.001 (0.002) Loss 2.4767 (2.6120) Prec@1 41.250 (36.614) Prec@5 70.000 (67.371) Epoch: [15][6020/11272] Time 0.829 (0.811) Data 0.001 (0.002) Loss 2.8006 (2.6120) Prec@1 30.000 (36.614) Prec@5 60.625 (67.371) Epoch: [15][6030/11272] Time 0.848 (0.811) Data 0.001 (0.002) Loss 2.8938 (2.6120) Prec@1 32.500 (36.611) Prec@5 62.500 (67.371) Epoch: [15][6040/11272] Time 0.726 (0.811) Data 0.002 (0.002) Loss 2.4057 (2.6121) Prec@1 39.375 (36.611) Prec@5 72.500 (67.372) Epoch: [15][6050/11272] Time 0.760 (0.811) Data 0.001 (0.002) Loss 2.4749 (2.6120) Prec@1 38.125 (36.613) Prec@5 68.750 (67.372) Epoch: [15][6060/11272] Time 0.861 (0.811) Data 0.002 (0.002) Loss 2.7322 (2.6121) Prec@1 31.875 (36.610) Prec@5 65.625 (67.368) Epoch: [15][6070/11272] Time 0.876 (0.811) Data 0.001 (0.002) Loss 2.7271 (2.6121) Prec@1 32.500 (36.611) Prec@5 66.875 (67.368) Epoch: [15][6080/11272] Time 0.738 (0.811) Data 0.001 (0.002) Loss 2.7077 (2.6122) Prec@1 33.125 (36.609) Prec@5 61.875 (67.365) Epoch: [15][6090/11272] Time 0.719 (0.811) Data 0.001 (0.002) Loss 2.5070 (2.6121) Prec@1 33.750 (36.611) Prec@5 69.375 (67.365) Epoch: [15][6100/11272] Time 0.869 (0.811) Data 0.002 (0.002) Loss 2.4428 (2.6120) Prec@1 40.625 (36.609) Prec@5 66.875 (67.366) Epoch: [15][6110/11272] Time 0.929 (0.811) Data 0.002 (0.002) Loss 2.4305 (2.6120) Prec@1 34.375 (36.606) Prec@5 71.250 (67.368) Epoch: [15][6120/11272] Time 0.782 (0.811) Data 0.001 (0.002) Loss 2.6296 (2.6119) Prec@1 31.250 (36.608) Prec@5 68.750 (67.372) Epoch: [15][6130/11272] Time 0.856 (0.811) Data 0.001 (0.002) Loss 2.4827 (2.6118) Prec@1 39.375 (36.609) Prec@5 69.375 (67.375) Epoch: [15][6140/11272] Time 0.863 (0.811) Data 0.001 (0.002) Loss 2.4739 (2.6117) Prec@1 35.000 (36.610) Prec@5 71.250 (67.378) Epoch: [15][6150/11272] Time 0.752 (0.811) Data 0.001 (0.002) Loss 2.4650 (2.6117) Prec@1 36.875 (36.610) Prec@5 71.250 (67.377) Epoch: [15][6160/11272] Time 0.774 (0.811) Data 0.001 (0.002) Loss 2.6618 (2.6118) Prec@1 40.625 (36.607) Prec@5 63.750 (67.373) Epoch: [15][6170/11272] Time 0.921 (0.811) Data 0.002 (0.002) Loss 2.9827 (2.6118) Prec@1 27.500 (36.609) Prec@5 61.875 (67.374) Epoch: [15][6180/11272] Time 0.884 (0.811) Data 0.002 (0.002) Loss 2.8239 (2.6117) Prec@1 28.125 (36.608) Prec@5 62.500 (67.375) Epoch: [15][6190/11272] Time 0.731 (0.811) Data 0.001 (0.002) Loss 2.8727 (2.6117) Prec@1 33.125 (36.607) Prec@5 60.625 (67.375) Epoch: [15][6200/11272] Time 0.721 (0.811) Data 0.001 (0.002) Loss 2.3664 (2.6116) Prec@1 41.250 (36.610) Prec@5 71.875 (67.378) Epoch: [15][6210/11272] Time 0.841 (0.811) Data 0.001 (0.002) Loss 2.7670 (2.6116) Prec@1 31.250 (36.607) Prec@5 61.250 (67.378) Epoch: [15][6220/11272] Time 0.840 (0.811) Data 0.002 (0.002) Loss 2.7098 (2.6116) Prec@1 33.125 (36.608) Prec@5 63.125 (67.378) Epoch: [15][6230/11272] Time 0.754 (0.811) Data 0.001 (0.002) Loss 2.5969 (2.6116) Prec@1 35.000 (36.606) Prec@5 66.875 (67.377) Epoch: [15][6240/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.6913 (2.6117) Prec@1 36.875 (36.603) Prec@5 65.625 (67.374) Epoch: [15][6250/11272] Time 0.864 (0.811) Data 0.002 (0.002) Loss 2.5821 (2.6117) Prec@1 38.750 (36.605) Prec@5 71.250 (67.376) Epoch: [15][6260/11272] Time 0.881 (0.811) Data 0.002 (0.002) Loss 2.5402 (2.6117) Prec@1 37.500 (36.606) Prec@5 72.500 (67.375) Epoch: [15][6270/11272] Time 0.724 (0.811) Data 0.002 (0.002) Loss 2.4435 (2.6118) Prec@1 45.625 (36.606) Prec@5 70.000 (67.376) Epoch: [15][6280/11272] Time 0.832 (0.811) Data 0.001 (0.002) Loss 2.7212 (2.6118) Prec@1 40.000 (36.606) Prec@5 65.000 (67.376) Epoch: [15][6290/11272] Time 0.865 (0.811) Data 0.001 (0.002) Loss 2.5354 (2.6117) Prec@1 40.625 (36.608) Prec@5 66.875 (67.378) Epoch: [15][6300/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 2.8892 (2.6118) Prec@1 31.250 (36.607) Prec@5 66.250 (67.377) Epoch: [15][6310/11272] Time 0.812 (0.811) Data 0.002 (0.002) Loss 2.5780 (2.6118) Prec@1 35.625 (36.606) Prec@5 65.625 (67.375) Epoch: [15][6320/11272] Time 0.867 (0.811) Data 0.001 (0.002) Loss 2.7338 (2.6118) Prec@1 35.000 (36.606) Prec@5 63.750 (67.375) Epoch: [15][6330/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 2.6334 (2.6118) Prec@1 35.625 (36.606) Prec@5 67.500 (67.376) Epoch: [15][6340/11272] Time 0.735 (0.811) Data 0.001 (0.002) Loss 2.4724 (2.6118) Prec@1 39.375 (36.606) Prec@5 69.375 (67.376) Epoch: [15][6350/11272] Time 0.739 (0.811) Data 0.001 (0.002) Loss 2.6897 (2.6119) Prec@1 35.000 (36.606) Prec@5 66.875 (67.373) Epoch: [15][6360/11272] Time 0.846 (0.811) Data 0.001 (0.002) Loss 2.4847 (2.6119) Prec@1 34.375 (36.605) Prec@5 70.000 (67.372) Epoch: [15][6370/11272] Time 0.847 (0.811) Data 0.002 (0.002) Loss 2.4665 (2.6118) Prec@1 46.250 (36.610) Prec@5 73.125 (67.373) Epoch: [15][6380/11272] Time 0.723 (0.811) Data 0.001 (0.002) Loss 2.5254 (2.6118) Prec@1 36.250 (36.609) Prec@5 73.750 (67.373) Epoch: [15][6390/11272] Time 0.769 (0.811) Data 0.002 (0.002) Loss 2.5824 (2.6118) Prec@1 38.125 (36.611) Prec@5 66.875 (67.373) Epoch: [15][6400/11272] Time 0.869 (0.811) Data 0.001 (0.002) Loss 2.4586 (2.6119) Prec@1 38.750 (36.610) Prec@5 71.250 (67.372) Epoch: [15][6410/11272] Time 0.744 (0.811) Data 0.001 (0.002) Loss 2.3128 (2.6117) Prec@1 43.750 (36.616) Prec@5 73.750 (67.376) Epoch: [15][6420/11272] Time 0.734 (0.811) Data 0.001 (0.002) Loss 2.7223 (2.6118) Prec@1 32.500 (36.614) Prec@5 69.375 (67.375) Epoch: [15][6430/11272] Time 0.887 (0.811) Data 0.002 (0.002) Loss 2.4521 (2.6117) Prec@1 34.375 (36.616) Prec@5 74.375 (67.377) Epoch: [15][6440/11272] Time 0.873 (0.811) Data 0.002 (0.002) Loss 2.3876 (2.6116) Prec@1 37.500 (36.618) Prec@5 73.750 (67.381) Epoch: [15][6450/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.7287 (2.6117) Prec@1 30.000 (36.618) Prec@5 63.750 (67.379) Epoch: [15][6460/11272] Time 0.723 (0.811) Data 0.001 (0.002) Loss 2.6514 (2.6116) Prec@1 35.000 (36.620) Prec@5 68.750 (67.382) Epoch: [15][6470/11272] Time 0.882 (0.811) Data 0.002 (0.002) Loss 2.3656 (2.6116) Prec@1 39.375 (36.620) Prec@5 72.500 (67.381) Epoch: [15][6480/11272] Time 0.869 (0.811) Data 0.002 (0.002) Loss 2.5407 (2.6115) Prec@1 34.375 (36.623) Prec@5 70.625 (67.384) Epoch: [15][6490/11272] Time 0.731 (0.811) Data 0.001 (0.002) Loss 2.4288 (2.6114) Prec@1 43.750 (36.624) Prec@5 73.125 (67.382) Epoch: [15][6500/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.3808 (2.6114) Prec@1 40.625 (36.626) Prec@5 73.750 (67.383) Epoch: [15][6510/11272] Time 0.916 (0.811) Data 0.002 (0.002) Loss 2.7538 (2.6114) Prec@1 35.000 (36.627) Prec@5 63.750 (67.383) Epoch: [15][6520/11272] Time 0.823 (0.811) Data 0.001 (0.002) Loss 2.7430 (2.6114) Prec@1 31.250 (36.628) Prec@5 66.250 (67.383) Epoch: [15][6530/11272] Time 0.776 (0.811) Data 0.007 (0.002) Loss 2.7569 (2.6114) Prec@1 33.750 (36.628) Prec@5 66.875 (67.383) Epoch: [15][6540/11272] Time 0.852 (0.811) Data 0.001 (0.002) Loss 2.4319 (2.6115) Prec@1 36.875 (36.629) Prec@5 74.375 (67.382) Epoch: [15][6550/11272] Time 0.854 (0.811) Data 0.001 (0.002) Loss 2.9254 (2.6115) Prec@1 31.875 (36.630) Prec@5 57.500 (67.381) Epoch: [15][6560/11272] Time 0.725 (0.811) Data 0.001 (0.002) Loss 2.5586 (2.6114) Prec@1 36.250 (36.631) Prec@5 67.500 (67.384) Epoch: [15][6570/11272] Time 0.743 (0.811) Data 0.001 (0.002) Loss 2.4343 (2.6113) Prec@1 37.500 (36.633) Prec@5 74.375 (67.387) Epoch: [15][6580/11272] Time 0.852 (0.811) Data 0.002 (0.002) Loss 2.6047 (2.6114) Prec@1 36.875 (36.630) Prec@5 71.250 (67.387) Epoch: [15][6590/11272] Time 0.881 (0.811) Data 0.002 (0.002) Loss 2.2774 (2.6113) Prec@1 41.250 (36.632) Prec@5 79.375 (67.388) Epoch: [15][6600/11272] Time 0.731 (0.811) Data 0.001 (0.002) Loss 2.9029 (2.6113) Prec@1 30.000 (36.632) Prec@5 63.750 (67.388) Epoch: [15][6610/11272] Time 0.752 (0.811) Data 0.001 (0.002) Loss 2.6154 (2.6113) Prec@1 36.250 (36.632) Prec@5 66.250 (67.387) Epoch: [15][6620/11272] Time 0.842 (0.811) Data 0.001 (0.002) Loss 2.6009 (2.6115) Prec@1 36.875 (36.632) Prec@5 68.125 (67.384) Epoch: [15][6630/11272] Time 0.901 (0.811) Data 0.002 (0.002) Loss 2.6763 (2.6115) Prec@1 33.125 (36.630) Prec@5 66.875 (67.385) Epoch: [15][6640/11272] Time 0.734 (0.811) Data 0.001 (0.002) Loss 2.5140 (2.6115) Prec@1 40.000 (36.631) Prec@5 69.375 (67.385) Epoch: [15][6650/11272] Time 0.740 (0.811) Data 0.001 (0.002) Loss 2.5633 (2.6116) Prec@1 32.500 (36.627) Prec@5 71.250 (67.383) Epoch: [15][6660/11272] Time 0.848 (0.811) Data 0.002 (0.002) Loss 2.5190 (2.6117) Prec@1 37.500 (36.626) Prec@5 67.500 (67.383) Epoch: [15][6670/11272] Time 0.815 (0.811) Data 0.003 (0.002) Loss 2.5962 (2.6117) Prec@1 35.625 (36.626) Prec@5 66.250 (67.381) Epoch: [15][6680/11272] Time 0.763 (0.811) Data 0.001 (0.002) Loss 2.5435 (2.6117) Prec@1 37.500 (36.627) Prec@5 67.500 (67.380) Epoch: [15][6690/11272] Time 0.860 (0.811) Data 0.001 (0.002) Loss 2.6932 (2.6117) Prec@1 35.000 (36.629) Prec@5 66.250 (67.380) Epoch: [15][6700/11272] Time 0.896 (0.811) Data 0.003 (0.002) Loss 2.8825 (2.6117) Prec@1 33.125 (36.629) Prec@5 61.875 (67.380) Epoch: [15][6710/11272] Time 0.735 (0.811) Data 0.002 (0.002) Loss 2.8546 (2.6118) Prec@1 35.000 (36.627) Prec@5 62.500 (67.381) Epoch: [15][6720/11272] Time 0.728 (0.811) Data 0.002 (0.002) Loss 2.4802 (2.6119) Prec@1 36.875 (36.624) Prec@5 73.125 (67.379) Epoch: [15][6730/11272] Time 0.877 (0.811) Data 0.002 (0.002) Loss 2.6729 (2.6119) Prec@1 40.000 (36.624) Prec@5 65.000 (67.379) Epoch: [15][6740/11272] Time 0.855 (0.811) Data 0.002 (0.002) Loss 2.4280 (2.6118) Prec@1 35.000 (36.625) Prec@5 70.625 (67.379) Epoch: [15][6750/11272] Time 0.725 (0.811) Data 0.002 (0.002) Loss 2.5873 (2.6119) Prec@1 33.125 (36.621) Prec@5 69.375 (67.378) Epoch: [15][6760/11272] Time 0.732 (0.811) Data 0.002 (0.002) Loss 2.3903 (2.6118) Prec@1 38.125 (36.624) Prec@5 68.125 (67.380) Epoch: [15][6770/11272] Time 0.870 (0.811) Data 0.002 (0.002) Loss 2.7542 (2.6119) Prec@1 35.625 (36.621) Prec@5 66.250 (67.378) Epoch: [15][6780/11272] Time 0.814 (0.811) Data 0.001 (0.002) Loss 2.6711 (2.6119) Prec@1 36.250 (36.624) Prec@5 67.500 (67.379) Epoch: [15][6790/11272] Time 0.717 (0.811) Data 0.002 (0.002) Loss 2.6324 (2.6118) Prec@1 33.125 (36.624) Prec@5 70.000 (67.381) Epoch: [15][6800/11272] Time 0.856 (0.811) Data 0.002 (0.002) Loss 2.5934 (2.6118) Prec@1 36.250 (36.624) Prec@5 68.750 (67.382) Epoch: [15][6810/11272] Time 0.900 (0.811) Data 0.002 (0.002) Loss 2.6848 (2.6118) Prec@1 37.500 (36.623) Prec@5 68.125 (67.384) Epoch: [15][6820/11272] Time 0.732 (0.811) Data 0.001 (0.002) Loss 2.5873 (2.6118) Prec@1 31.875 (36.622) Prec@5 71.250 (67.383) Epoch: [15][6830/11272] Time 0.755 (0.811) Data 0.002 (0.002) Loss 2.6092 (2.6116) Prec@1 36.250 (36.625) Prec@5 68.125 (67.386) Epoch: [15][6840/11272] Time 0.891 (0.811) Data 0.002 (0.002) Loss 2.3818 (2.6116) Prec@1 37.500 (36.626) Prec@5 70.625 (67.387) Epoch: [15][6850/11272] Time 0.882 (0.811) Data 0.001 (0.002) Loss 2.6499 (2.6116) Prec@1 34.375 (36.626) Prec@5 66.875 (67.387) Epoch: [15][6860/11272] Time 0.736 (0.811) Data 0.001 (0.002) Loss 2.3314 (2.6115) Prec@1 38.750 (36.627) Prec@5 71.250 (67.390) Epoch: [15][6870/11272] Time 0.760 (0.811) Data 0.002 (0.002) Loss 2.5636 (2.6113) Prec@1 38.125 (36.630) Prec@5 70.000 (67.392) Epoch: [15][6880/11272] Time 0.879 (0.811) Data 0.002 (0.002) Loss 2.5970 (2.6114) Prec@1 34.375 (36.631) Prec@5 69.375 (67.390) Epoch: [15][6890/11272] Time 0.831 (0.811) Data 0.001 (0.002) Loss 2.6883 (2.6114) Prec@1 34.375 (36.630) Prec@5 64.375 (67.391) Epoch: [15][6900/11272] Time 0.759 (0.811) Data 0.003 (0.002) Loss 2.6840 (2.6114) Prec@1 32.500 (36.629) Prec@5 64.375 (67.392) Epoch: [15][6910/11272] Time 0.721 (0.811) Data 0.002 (0.002) Loss 2.6521 (2.6115) Prec@1 33.125 (36.628) Prec@5 65.000 (67.391) Epoch: [15][6920/11272] Time 0.915 (0.811) Data 0.002 (0.002) Loss 2.5528 (2.6115) Prec@1 36.250 (36.626) Prec@5 70.625 (67.391) Epoch: [15][6930/11272] Time 0.759 (0.811) Data 0.003 (0.002) Loss 2.7381 (2.6115) Prec@1 35.000 (36.626) Prec@5 70.000 (67.390) Epoch: [15][6940/11272] Time 0.727 (0.811) Data 0.000 (0.002) Loss 2.5724 (2.6115) Prec@1 36.250 (36.624) Prec@5 72.500 (67.389) Epoch: [15][6950/11272] Time 0.837 (0.811) Data 0.002 (0.002) Loss 2.4451 (2.6115) Prec@1 38.750 (36.623) Prec@5 70.625 (67.389) Epoch: [15][6960/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 3.1631 (2.6116) Prec@1 29.375 (36.622) Prec@5 57.500 (67.385) Epoch: [15][6970/11272] Time 0.734 (0.811) Data 0.002 (0.002) Loss 2.5160 (2.6117) Prec@1 33.750 (36.619) Prec@5 70.625 (67.386) Epoch: [15][6980/11272] Time 0.739 (0.811) Data 0.001 (0.002) Loss 2.7025 (2.6117) Prec@1 35.625 (36.620) Prec@5 64.375 (67.386) Epoch: [15][6990/11272] Time 0.798 (0.811) Data 0.001 (0.002) Loss 2.7102 (2.6117) Prec@1 35.625 (36.622) Prec@5 67.500 (67.387) Epoch: [15][7000/11272] Time 0.863 (0.811) Data 0.002 (0.002) Loss 2.6787 (2.6116) Prec@1 35.000 (36.625) Prec@5 65.000 (67.389) Epoch: [15][7010/11272] Time 0.713 (0.811) Data 0.001 (0.002) Loss 2.8796 (2.6116) Prec@1 36.250 (36.625) Prec@5 66.875 (67.390) Epoch: [15][7020/11272] Time 0.738 (0.811) Data 0.001 (0.002) Loss 2.4783 (2.6115) Prec@1 34.375 (36.626) Prec@5 71.250 (67.391) Epoch: [15][7030/11272] Time 0.914 (0.811) Data 0.002 (0.002) Loss 2.5337 (2.6115) Prec@1 39.375 (36.625) Prec@5 68.750 (67.392) Epoch: [15][7040/11272] Time 0.843 (0.811) Data 0.002 (0.002) Loss 2.8703 (2.6116) Prec@1 34.375 (36.625) Prec@5 60.625 (67.389) Epoch: [15][7050/11272] Time 0.765 (0.811) Data 0.001 (0.002) Loss 2.6636 (2.6116) Prec@1 33.750 (36.621) Prec@5 67.500 (67.386) Epoch: [15][7060/11272] Time 0.865 (0.811) Data 0.002 (0.002) Loss 2.6932 (2.6116) Prec@1 38.750 (36.621) Prec@5 65.000 (67.388) Epoch: [15][7070/11272] Time 0.832 (0.811) Data 0.001 (0.002) Loss 2.9213 (2.6117) Prec@1 30.000 (36.617) Prec@5 57.500 (67.384) Epoch: [15][7080/11272] Time 0.740 (0.810) Data 0.001 (0.002) Loss 2.6686 (2.6117) Prec@1 31.250 (36.615) Prec@5 63.750 (67.384) Epoch: [15][7090/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.3644 (2.6116) Prec@1 39.375 (36.616) Prec@5 72.500 (67.386) Epoch: [15][7100/11272] Time 0.859 (0.810) Data 0.002 (0.002) Loss 2.7239 (2.6115) Prec@1 31.250 (36.614) Prec@5 64.375 (67.385) Epoch: [15][7110/11272] Time 0.862 (0.810) Data 0.002 (0.002) Loss 2.8262 (2.6116) Prec@1 38.750 (36.614) Prec@5 65.625 (67.385) Epoch: [15][7120/11272] Time 0.723 (0.810) Data 0.001 (0.002) Loss 2.6234 (2.6117) Prec@1 35.000 (36.612) Prec@5 66.250 (67.384) Epoch: [15][7130/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.4148 (2.6117) Prec@1 37.500 (36.611) Prec@5 73.125 (67.383) Epoch: [15][7140/11272] Time 0.922 (0.810) Data 0.002 (0.002) Loss 2.5749 (2.6117) Prec@1 36.875 (36.610) Prec@5 65.625 (67.383) Epoch: [15][7150/11272] Time 0.802 (0.810) Data 0.002 (0.002) Loss 2.4355 (2.6117) Prec@1 40.000 (36.612) Prec@5 69.375 (67.383) Epoch: [15][7160/11272] Time 0.746 (0.810) Data 0.002 (0.002) Loss 2.8036 (2.6118) Prec@1 30.625 (36.610) Prec@5 65.000 (67.383) Epoch: [15][7170/11272] Time 0.738 (0.810) Data 0.002 (0.002) Loss 2.3905 (2.6119) Prec@1 41.875 (36.608) Prec@5 73.750 (67.381) Epoch: [15][7180/11272] Time 0.886 (0.810) Data 0.002 (0.002) Loss 2.5457 (2.6119) Prec@1 34.375 (36.610) Prec@5 68.125 (67.381) Epoch: [15][7190/11272] Time 0.796 (0.810) Data 0.001 (0.002) Loss 2.8319 (2.6118) Prec@1 36.250 (36.615) Prec@5 65.625 (67.382) Epoch: [15][7200/11272] Time 0.748 (0.810) Data 0.001 (0.002) Loss 2.9092 (2.6119) Prec@1 35.625 (36.616) Prec@5 63.125 (67.382) Epoch: [15][7210/11272] Time 0.904 (0.810) Data 0.001 (0.002) Loss 2.6734 (2.6119) Prec@1 33.125 (36.616) Prec@5 68.750 (67.382) Epoch: [15][7220/11272] Time 0.885 (0.810) Data 0.002 (0.002) Loss 2.6348 (2.6120) Prec@1 39.375 (36.616) Prec@5 64.375 (67.382) Epoch: [15][7230/11272] Time 0.749 (0.810) Data 0.002 (0.002) Loss 2.4030 (2.6120) Prec@1 44.375 (36.618) Prec@5 75.625 (67.385) Epoch: [15][7240/11272] Time 0.722 (0.810) Data 0.001 (0.002) Loss 2.6808 (2.6119) Prec@1 33.125 (36.618) Prec@5 71.250 (67.386) Epoch: [15][7250/11272] Time 0.861 (0.810) Data 0.002 (0.002) Loss 2.6413 (2.6120) Prec@1 37.500 (36.617) Prec@5 67.500 (67.384) Epoch: [15][7260/11272] Time 0.837 (0.810) Data 0.001 (0.002) Loss 2.6327 (2.6120) Prec@1 35.000 (36.618) Prec@5 68.125 (67.385) Epoch: [15][7270/11272] Time 0.750 (0.810) Data 0.001 (0.002) Loss 2.5027 (2.6120) Prec@1 39.375 (36.617) Prec@5 69.375 (67.385) Epoch: [15][7280/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.4800 (2.6120) Prec@1 41.250 (36.619) Prec@5 71.250 (67.384) Epoch: [15][7290/11272] Time 0.852 (0.810) Data 0.001 (0.002) Loss 2.4340 (2.6121) Prec@1 43.750 (36.618) Prec@5 75.625 (67.384) Epoch: [15][7300/11272] Time 0.837 (0.810) Data 0.001 (0.002) Loss 2.6562 (2.6121) Prec@1 35.000 (36.619) Prec@5 65.000 (67.383) Epoch: [15][7310/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.8076 (2.6120) Prec@1 34.375 (36.622) Prec@5 63.750 (67.385) Epoch: [15][7320/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.4945 (2.6120) Prec@1 40.000 (36.624) Prec@5 66.875 (67.385) Epoch: [15][7330/11272] Time 0.871 (0.810) Data 0.002 (0.002) Loss 2.5339 (2.6119) Prec@1 38.125 (36.626) Prec@5 70.000 (67.387) Epoch: [15][7340/11272] Time 0.765 (0.810) Data 0.001 (0.002) Loss 2.3834 (2.6120) Prec@1 39.375 (36.624) Prec@5 71.875 (67.386) Epoch: [15][7350/11272] Time 0.736 (0.810) Data 0.001 (0.002) Loss 2.5556 (2.6120) Prec@1 40.000 (36.626) Prec@5 70.000 (67.385) Epoch: [15][7360/11272] Time 0.849 (0.810) Data 0.002 (0.002) Loss 2.2593 (2.6119) Prec@1 44.375 (36.629) Prec@5 71.250 (67.386) Epoch: [15][7370/11272] Time 0.855 (0.810) Data 0.002 (0.002) Loss 2.5080 (2.6119) Prec@1 38.125 (36.630) Prec@5 68.750 (67.387) Epoch: [15][7380/11272] Time 0.734 (0.810) Data 0.002 (0.002) Loss 2.3961 (2.6118) Prec@1 42.500 (36.631) Prec@5 73.125 (67.386) Epoch: [15][7390/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.4199 (2.6117) Prec@1 40.625 (36.633) Prec@5 68.125 (67.388) Epoch: [15][7400/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.5454 (2.6117) Prec@1 35.625 (36.636) Prec@5 66.875 (67.390) Epoch: [15][7410/11272] Time 0.942 (0.810) Data 0.002 (0.002) Loss 2.3735 (2.6117) Prec@1 43.750 (36.635) Prec@5 72.500 (67.391) Epoch: [15][7420/11272] Time 0.743 (0.810) Data 0.001 (0.002) Loss 2.5983 (2.6118) Prec@1 43.125 (36.635) Prec@5 63.125 (67.387) Epoch: [15][7430/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.3976 (2.6118) Prec@1 39.375 (36.635) Prec@5 69.375 (67.386) Epoch: [15][7440/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.6374 (2.6119) Prec@1 42.500 (36.634) Prec@5 70.000 (67.384) Epoch: [15][7450/11272] Time 0.896 (0.810) Data 0.001 (0.002) Loss 2.7074 (2.6119) Prec@1 36.250 (36.635) Prec@5 61.250 (67.383) Epoch: [15][7460/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.4836 (2.6118) Prec@1 43.125 (36.637) Prec@5 68.125 (67.382) Epoch: [15][7470/11272] Time 0.843 (0.810) Data 0.001 (0.002) Loss 2.7030 (2.6118) Prec@1 37.500 (36.640) Prec@5 67.500 (67.383) Epoch: [15][7480/11272] Time 0.872 (0.810) Data 0.003 (0.002) Loss 2.5527 (2.6118) Prec@1 36.250 (36.643) Prec@5 66.250 (67.382) Epoch: [15][7490/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.6027 (2.6117) Prec@1 38.750 (36.645) Prec@5 67.500 (67.384) Epoch: [15][7500/11272] Time 0.753 (0.810) Data 0.001 (0.002) Loss 2.5184 (2.6116) Prec@1 40.000 (36.647) Prec@5 71.250 (67.387) Epoch: [15][7510/11272] Time 0.896 (0.810) Data 0.001 (0.002) Loss 2.5540 (2.6116) Prec@1 35.000 (36.649) Prec@5 62.500 (67.386) Epoch: [15][7520/11272] Time 0.868 (0.810) Data 0.001 (0.002) Loss 2.7692 (2.6118) Prec@1 35.625 (36.648) Prec@5 65.000 (67.382) Epoch: [15][7530/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.4772 (2.6117) Prec@1 36.875 (36.650) Prec@5 71.875 (67.382) Epoch: [15][7540/11272] Time 0.747 (0.810) Data 0.001 (0.002) Loss 2.5955 (2.6115) Prec@1 41.250 (36.652) Prec@5 68.125 (67.386) Epoch: [15][7550/11272] Time 0.889 (0.810) Data 0.002 (0.002) Loss 2.9500 (2.6115) Prec@1 35.000 (36.653) Prec@5 61.250 (67.387) Epoch: [15][7560/11272] Time 0.831 (0.810) Data 0.002 (0.002) Loss 2.3737 (2.6114) Prec@1 41.250 (36.655) Prec@5 72.500 (67.387) Epoch: [15][7570/11272] Time 0.736 (0.810) Data 0.002 (0.002) Loss 2.6198 (2.6115) Prec@1 40.000 (36.654) Prec@5 66.875 (67.385) Epoch: [15][7580/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.5177 (2.6115) Prec@1 35.625 (36.655) Prec@5 68.750 (67.382) Epoch: [15][7590/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.3561 (2.6113) Prec@1 43.125 (36.658) Prec@5 69.375 (67.387) Epoch: [15][7600/11272] Time 0.755 (0.810) Data 0.004 (0.002) Loss 2.4445 (2.6113) Prec@1 43.125 (36.660) Prec@5 73.125 (67.386) Epoch: [15][7610/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.7243 (2.6112) Prec@1 34.375 (36.661) Prec@5 63.750 (67.388) Epoch: [15][7620/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.5998 (2.6111) Prec@1 37.500 (36.663) Prec@5 65.000 (67.389) Epoch: [15][7630/11272] Time 0.835 (0.810) Data 0.001 (0.002) Loss 2.8792 (2.6112) Prec@1 28.750 (36.662) Prec@5 63.750 (67.386) Epoch: [15][7640/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5015 (2.6112) Prec@1 38.750 (36.661) Prec@5 68.125 (67.386) Epoch: [15][7650/11272] Time 0.755 (0.810) Data 0.001 (0.002) Loss 2.4476 (2.6111) Prec@1 40.625 (36.664) Prec@5 70.625 (67.386) Epoch: [15][7660/11272] Time 0.838 (0.810) Data 0.001 (0.002) Loss 2.4588 (2.6110) Prec@1 40.000 (36.666) Prec@5 71.875 (67.389) Epoch: [15][7670/11272] Time 0.846 (0.810) Data 0.001 (0.002) Loss 2.4168 (2.6110) Prec@1 40.000 (36.665) Prec@5 68.750 (67.388) Epoch: [15][7680/11272] Time 0.741 (0.810) Data 0.002 (0.002) Loss 2.6066 (2.6110) Prec@1 35.625 (36.665) Prec@5 66.250 (67.388) Epoch: [15][7690/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.7926 (2.6110) Prec@1 30.000 (36.667) Prec@5 65.625 (67.388) Epoch: [15][7700/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.4875 (2.6110) Prec@1 39.375 (36.665) Prec@5 73.125 (67.389) Epoch: [15][7710/11272] Time 0.850 (0.810) Data 0.002 (0.002) Loss 2.6021 (2.6111) Prec@1 37.500 (36.661) Prec@5 69.375 (67.389) Epoch: [15][7720/11272] Time 0.749 (0.810) Data 0.001 (0.002) Loss 2.7797 (2.6111) Prec@1 36.875 (36.664) Prec@5 63.125 (67.388) Epoch: [15][7730/11272] Time 0.860 (0.810) Data 0.001 (0.002) Loss 2.4788 (2.6110) Prec@1 40.000 (36.667) Prec@5 66.875 (67.390) Epoch: [15][7740/11272] Time 0.854 (0.810) Data 0.002 (0.002) Loss 2.6130 (2.6111) Prec@1 29.375 (36.663) Prec@5 66.250 (67.388) Epoch: [15][7750/11272] Time 0.737 (0.810) Data 0.002 (0.002) Loss 2.4776 (2.6112) Prec@1 36.250 (36.660) Prec@5 69.375 (67.385) Epoch: [15][7760/11272] Time 0.741 (0.810) Data 0.001 (0.002) Loss 2.6029 (2.6113) Prec@1 40.625 (36.660) Prec@5 67.500 (67.384) Epoch: [15][7770/11272] Time 0.867 (0.810) Data 0.001 (0.002) Loss 2.3307 (2.6112) Prec@1 43.125 (36.662) Prec@5 75.000 (67.384) Epoch: [15][7780/11272] Time 0.927 (0.810) Data 0.002 (0.002) Loss 2.6931 (2.6112) Prec@1 30.625 (36.662) Prec@5 62.500 (67.384) Epoch: [15][7790/11272] Time 0.752 (0.810) Data 0.001 (0.002) Loss 2.7179 (2.6112) Prec@1 35.625 (36.660) Prec@5 67.500 (67.384) Epoch: [15][7800/11272] Time 0.730 (0.810) Data 0.002 (0.002) Loss 2.5462 (2.6113) Prec@1 41.875 (36.660) Prec@5 70.000 (67.384) Epoch: [15][7810/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.6084 (2.6112) Prec@1 41.250 (36.662) Prec@5 70.000 (67.385) Epoch: [15][7820/11272] Time 0.901 (0.810) Data 0.002 (0.002) Loss 2.4778 (2.6113) Prec@1 40.000 (36.662) Prec@5 71.875 (67.384) Epoch: [15][7830/11272] Time 0.740 (0.810) Data 0.001 (0.002) Loss 2.5971 (2.6113) Prec@1 35.625 (36.663) Prec@5 67.500 (67.385) Epoch: [15][7840/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 2.6863 (2.6112) Prec@1 35.625 (36.665) Prec@5 65.000 (67.388) Epoch: [15][7850/11272] Time 0.852 (0.810) Data 0.002 (0.002) Loss 2.5917 (2.6112) Prec@1 34.375 (36.665) Prec@5 69.375 (67.389) Epoch: [15][7860/11272] Time 0.722 (0.810) Data 0.003 (0.002) Loss 2.9031 (2.6112) Prec@1 32.500 (36.666) Prec@5 65.000 (67.387) Epoch: [15][7870/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.3916 (2.6112) Prec@1 42.500 (36.666) Prec@5 73.750 (67.390) Epoch: [15][7880/11272] Time 0.896 (0.810) Data 0.001 (0.002) Loss 2.4560 (2.6112) Prec@1 38.750 (36.666) Prec@5 71.250 (67.387) Epoch: [15][7890/11272] Time 0.834 (0.810) Data 0.002 (0.002) Loss 2.4579 (2.6112) Prec@1 38.750 (36.665) Prec@5 73.750 (67.387) Epoch: [15][7900/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.4757 (2.6112) Prec@1 38.750 (36.665) Prec@5 68.125 (67.386) Epoch: [15][7910/11272] Time 0.770 (0.810) Data 0.002 (0.002) Loss 2.3698 (2.6112) Prec@1 42.500 (36.664) Prec@5 72.500 (67.385) Epoch: [15][7920/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.7164 (2.6113) Prec@1 29.375 (36.664) Prec@5 66.875 (67.383) Epoch: [15][7930/11272] Time 0.889 (0.810) Data 0.001 (0.002) Loss 2.7273 (2.6112) Prec@1 29.375 (36.664) Prec@5 70.000 (67.386) Epoch: [15][7940/11272] Time 0.760 (0.810) Data 0.002 (0.002) Loss 2.6595 (2.6113) Prec@1 32.500 (36.662) Prec@5 63.750 (67.385) Epoch: [15][7950/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5598 (2.6114) Prec@1 36.875 (36.659) Prec@5 65.000 (67.384) Epoch: [15][7960/11272] Time 0.899 (0.810) Data 0.002 (0.002) Loss 2.6919 (2.6113) Prec@1 37.500 (36.661) Prec@5 61.875 (67.383) Epoch: [15][7970/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.5407 (2.6113) Prec@1 37.500 (36.660) Prec@5 70.625 (67.383) Epoch: [15][7980/11272] Time 0.771 (0.810) Data 0.001 (0.002) Loss 2.4782 (2.6113) Prec@1 32.500 (36.659) Prec@5 74.375 (67.383) Epoch: [15][7990/11272] Time 0.848 (0.810) Data 0.002 (0.002) Loss 2.5616 (2.6113) Prec@1 36.875 (36.658) Prec@5 65.625 (67.384) Epoch: [15][8000/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.7758 (2.6112) Prec@1 33.125 (36.658) Prec@5 64.375 (67.384) Epoch: [15][8010/11272] Time 0.720 (0.810) Data 0.001 (0.002) Loss 2.4187 (2.6112) Prec@1 43.125 (36.658) Prec@5 71.250 (67.386) Epoch: [15][8020/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.7046 (2.6113) Prec@1 31.875 (36.657) Prec@5 66.250 (67.385) Epoch: [15][8030/11272] Time 0.856 (0.810) Data 0.001 (0.002) Loss 2.4653 (2.6111) Prec@1 35.000 (36.659) Prec@5 70.000 (67.387) Epoch: [15][8040/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.7717 (2.6111) Prec@1 37.500 (36.658) Prec@5 64.375 (67.387) Epoch: [15][8050/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.7010 (2.6112) Prec@1 36.250 (36.659) Prec@5 68.125 (67.385) Epoch: [15][8060/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.9383 (2.6112) Prec@1 30.625 (36.658) Prec@5 61.875 (67.384) Epoch: [15][8070/11272] Time 0.859 (0.810) Data 0.001 (0.002) Loss 2.5763 (2.6112) Prec@1 33.750 (36.656) Prec@5 67.500 (67.385) Epoch: [15][8080/11272] Time 0.861 (0.810) Data 0.002 (0.002) Loss 2.7350 (2.6113) Prec@1 34.375 (36.654) Prec@5 68.125 (67.383) Epoch: [15][8090/11272] Time 0.747 (0.810) Data 0.001 (0.002) Loss 2.4884 (2.6113) Prec@1 41.875 (36.654) Prec@5 69.375 (67.383) Epoch: [15][8100/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.6295 (2.6113) Prec@1 43.125 (36.654) Prec@5 66.250 (67.383) Epoch: [15][8110/11272] Time 0.844 (0.810) Data 0.001 (0.002) Loss 2.8655 (2.6114) Prec@1 32.500 (36.653) Prec@5 63.125 (67.382) Epoch: [15][8120/11272] Time 0.877 (0.810) Data 0.002 (0.002) Loss 2.5195 (2.6114) Prec@1 39.375 (36.655) Prec@5 68.750 (67.383) Epoch: [15][8130/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.7720 (2.6114) Prec@1 35.625 (36.654) Prec@5 65.000 (67.383) Epoch: [15][8140/11272] Time 0.868 (0.810) Data 0.001 (0.002) Loss 2.5655 (2.6115) Prec@1 36.875 (36.652) Prec@5 64.375 (67.383) Epoch: [15][8150/11272] Time 0.890 (0.810) Data 0.002 (0.002) Loss 2.6901 (2.6115) Prec@1 35.625 (36.651) Prec@5 68.750 (67.384) Epoch: [15][8160/11272] Time 0.776 (0.810) Data 0.001 (0.002) Loss 2.7666 (2.6115) Prec@1 33.125 (36.650) Prec@5 62.500 (67.384) Epoch: [15][8170/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.7042 (2.6115) Prec@1 33.750 (36.649) Prec@5 67.500 (67.382) Epoch: [15][8180/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.5402 (2.6115) Prec@1 39.375 (36.649) Prec@5 71.250 (67.383) Epoch: [15][8190/11272] Time 0.878 (0.810) Data 0.001 (0.002) Loss 2.8934 (2.6115) Prec@1 35.000 (36.648) Prec@5 61.250 (67.383) Epoch: [15][8200/11272] Time 0.757 (0.810) Data 0.001 (0.002) Loss 2.4757 (2.6115) Prec@1 33.750 (36.649) Prec@5 69.375 (67.384) Epoch: [15][8210/11272] Time 0.721 (0.810) Data 0.001 (0.002) Loss 2.8022 (2.6114) Prec@1 35.000 (36.653) Prec@5 59.375 (67.385) Epoch: [15][8220/11272] Time 0.864 (0.810) Data 0.003 (0.002) Loss 2.4291 (2.6114) Prec@1 38.125 (36.653) Prec@5 70.625 (67.385) Epoch: [15][8230/11272] Time 0.848 (0.810) Data 0.001 (0.002) Loss 2.5767 (2.6115) Prec@1 35.000 (36.651) Prec@5 67.500 (67.382) Epoch: [15][8240/11272] Time 0.741 (0.810) Data 0.001 (0.002) Loss 2.6714 (2.6115) Prec@1 37.500 (36.652) Prec@5 62.500 (67.382) Epoch: [15][8250/11272] Time 0.893 (0.810) Data 0.002 (0.002) Loss 2.4955 (2.6115) Prec@1 38.750 (36.651) Prec@5 68.750 (67.382) Epoch: [15][8260/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.9161 (2.6116) Prec@1 30.625 (36.648) Prec@5 60.000 (67.380) Epoch: [15][8270/11272] Time 0.740 (0.810) Data 0.001 (0.002) Loss 2.5468 (2.6116) Prec@1 36.250 (36.647) Prec@5 71.250 (67.381) Epoch: [15][8280/11272] Time 0.752 (0.810) Data 0.002 (0.002) Loss 2.6106 (2.6116) Prec@1 34.375 (36.646) Prec@5 69.375 (67.381) Epoch: [15][8290/11272] Time 0.864 (0.810) Data 0.002 (0.002) Loss 2.3742 (2.6116) Prec@1 41.250 (36.647) Prec@5 70.625 (67.381) Epoch: [15][8300/11272] Time 0.844 (0.810) Data 0.002 (0.002) Loss 2.4552 (2.6115) Prec@1 37.500 (36.647) Prec@5 70.000 (67.382) Epoch: [15][8310/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.7344 (2.6115) Prec@1 33.125 (36.647) Prec@5 64.375 (67.383) Epoch: [15][8320/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.8774 (2.6114) Prec@1 33.125 (36.647) Prec@5 64.375 (67.387) Epoch: [15][8330/11272] Time 0.839 (0.810) Data 0.002 (0.002) Loss 2.5527 (2.6115) Prec@1 37.500 (36.646) Prec@5 68.125 (67.386) Epoch: [15][8340/11272] Time 0.859 (0.810) Data 0.002 (0.002) Loss 2.5733 (2.6114) Prec@1 38.750 (36.646) Prec@5 70.000 (67.387) Epoch: [15][8350/11272] Time 0.785 (0.810) Data 0.002 (0.002) Loss 2.6458 (2.6115) Prec@1 38.125 (36.645) Prec@5 63.750 (67.386) Epoch: [15][8360/11272] Time 0.743 (0.810) Data 0.002 (0.002) Loss 2.6546 (2.6115) Prec@1 35.000 (36.646) Prec@5 67.500 (67.385) Epoch: [15][8370/11272] Time 0.839 (0.810) Data 0.001 (0.002) Loss 2.5614 (2.6114) Prec@1 36.250 (36.646) Prec@5 69.375 (67.387) Epoch: [15][8380/11272] Time 0.847 (0.810) Data 0.002 (0.002) Loss 2.6026 (2.6114) Prec@1 32.500 (36.646) Prec@5 68.750 (67.387) Epoch: [15][8390/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.7376 (2.6115) Prec@1 34.375 (36.646) Prec@5 61.250 (67.383) Epoch: [15][8400/11272] Time 0.874 (0.810) Data 0.001 (0.002) Loss 2.5830 (2.6115) Prec@1 40.625 (36.647) Prec@5 65.000 (67.385) Epoch: [15][8410/11272] Time 0.974 (0.810) Data 0.002 (0.002) Loss 2.6379 (2.6116) Prec@1 36.875 (36.645) Prec@5 69.375 (67.385) Epoch: [15][8420/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.5767 (2.6116) Prec@1 34.375 (36.644) Prec@5 67.500 (67.385) Epoch: [15][8430/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.5601 (2.6116) Prec@1 36.875 (36.644) Prec@5 66.875 (67.385) Epoch: [15][8440/11272] Time 0.883 (0.810) Data 0.002 (0.002) Loss 2.5625 (2.6117) Prec@1 39.375 (36.646) Prec@5 73.750 (67.383) Epoch: [15][8450/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.8193 (2.6117) Prec@1 32.500 (36.646) Prec@5 63.750 (67.382) Epoch: [15][8460/11272] Time 0.699 (0.810) Data 0.001 (0.002) Loss 2.3999 (2.6116) Prec@1 41.250 (36.648) Prec@5 69.375 (67.384) Epoch: [15][8470/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.7185 (2.6116) Prec@1 32.500 (36.648) Prec@5 63.125 (67.383) Epoch: [15][8480/11272] Time 0.880 (0.810) Data 0.002 (0.002) Loss 2.7415 (2.6117) Prec@1 32.500 (36.646) Prec@5 69.375 (67.380) Epoch: [15][8490/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.7543 (2.6118) Prec@1 34.375 (36.644) Prec@5 66.250 (67.378) Epoch: [15][8500/11272] Time 0.753 (0.810) Data 0.001 (0.002) Loss 2.4359 (2.6118) Prec@1 39.375 (36.646) Prec@5 70.625 (67.379) Epoch: [15][8510/11272] Time 0.745 (0.810) Data 0.001 (0.002) Loss 2.4926 (2.6118) Prec@1 40.000 (36.647) Prec@5 68.125 (67.379) Epoch: [15][8520/11272] Time 0.850 (0.810) Data 0.001 (0.002) Loss 2.6604 (2.6118) Prec@1 35.625 (36.646) Prec@5 65.625 (67.378) Epoch: [15][8530/11272] Time 0.752 (0.810) Data 0.003 (0.002) Loss 2.5923 (2.6118) Prec@1 41.250 (36.647) Prec@5 68.125 (67.379) Epoch: [15][8540/11272] Time 0.752 (0.810) Data 0.001 (0.002) Loss 3.0255 (2.6119) Prec@1 30.625 (36.644) Prec@5 60.000 (67.376) Epoch: [15][8550/11272] Time 0.836 (0.810) Data 0.001 (0.002) Loss 2.5507 (2.6119) Prec@1 41.875 (36.645) Prec@5 66.250 (67.375) Epoch: [15][8560/11272] Time 0.855 (0.810) Data 0.001 (0.002) Loss 2.6364 (2.6120) Prec@1 31.250 (36.642) Prec@5 68.750 (67.373) Epoch: [15][8570/11272] Time 0.735 (0.810) Data 0.001 (0.002) Loss 2.7112 (2.6120) Prec@1 35.625 (36.641) Prec@5 65.000 (67.373) Epoch: [15][8580/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.6299 (2.6121) Prec@1 31.875 (36.638) Prec@5 65.000 (67.370) Epoch: [15][8590/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.4488 (2.6121) Prec@1 44.375 (36.639) Prec@5 72.500 (67.371) Epoch: [15][8600/11272] Time 0.839 (0.810) Data 0.001 (0.002) Loss 2.5899 (2.6121) Prec@1 38.750 (36.640) Prec@5 65.625 (67.370) Epoch: [15][8610/11272] Time 0.749 (0.810) Data 0.002 (0.002) Loss 2.2923 (2.6121) Prec@1 40.000 (36.643) Prec@5 75.000 (67.371) Epoch: [15][8620/11272] Time 0.757 (0.810) Data 0.002 (0.002) Loss 2.6597 (2.6121) Prec@1 33.125 (36.640) Prec@5 66.250 (67.370) Epoch: [15][8630/11272] Time 0.886 (0.810) Data 0.002 (0.002) Loss 2.6095 (2.6122) Prec@1 35.625 (36.640) Prec@5 70.625 (67.370) Epoch: [15][8640/11272] Time 0.826 (0.810) Data 0.001 (0.002) Loss 2.7870 (2.6122) Prec@1 32.500 (36.639) Prec@5 64.375 (67.367) Epoch: [15][8650/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.7900 (2.6122) Prec@1 31.875 (36.639) Prec@5 63.125 (67.365) Epoch: [15][8660/11272] Time 0.809 (0.810) Data 0.001 (0.002) Loss 2.3783 (2.6123) Prec@1 38.125 (36.639) Prec@5 74.375 (67.365) Epoch: [15][8670/11272] Time 0.900 (0.810) Data 0.002 (0.002) Loss 2.4828 (2.6123) Prec@1 43.125 (36.639) Prec@5 71.875 (67.365) Epoch: [15][8680/11272] Time 0.739 (0.810) Data 0.002 (0.002) Loss 2.8048 (2.6123) Prec@1 34.375 (36.638) Prec@5 59.375 (67.365) Epoch: [15][8690/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.8319 (2.6123) Prec@1 32.500 (36.639) Prec@5 61.875 (67.366) Epoch: [15][8700/11272] Time 0.860 (0.810) Data 0.002 (0.002) Loss 2.8184 (2.6123) Prec@1 30.000 (36.639) Prec@5 58.750 (67.365) Epoch: [15][8710/11272] Time 0.883 (0.810) Data 0.002 (0.002) Loss 2.7287 (2.6123) Prec@1 30.000 (36.638) Prec@5 65.000 (67.364) Epoch: [15][8720/11272] Time 0.715 (0.809) Data 0.001 (0.002) Loss 2.6029 (2.6123) Prec@1 34.375 (36.638) Prec@5 66.250 (67.366) Epoch: [15][8730/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.7606 (2.6124) Prec@1 31.250 (36.635) Prec@5 65.000 (67.363) Epoch: [15][8740/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.8577 (2.6124) Prec@1 36.875 (36.635) Prec@5 66.875 (67.365) Epoch: [15][8750/11272] Time 0.854 (0.809) Data 0.001 (0.002) Loss 2.5425 (2.6125) Prec@1 40.000 (36.634) Prec@5 65.000 (67.364) Epoch: [15][8760/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.4155 (2.6124) Prec@1 43.125 (36.636) Prec@5 72.500 (67.365) Epoch: [15][8770/11272] Time 0.773 (0.809) Data 0.002 (0.002) Loss 2.6399 (2.6125) Prec@1 31.250 (36.635) Prec@5 68.125 (67.364) Epoch: [15][8780/11272] Time 0.882 (0.809) Data 0.003 (0.002) Loss 2.7458 (2.6125) Prec@1 36.875 (36.634) Prec@5 65.000 (67.363) Epoch: [15][8790/11272] Time 0.762 (0.809) Data 0.004 (0.002) Loss 2.5277 (2.6125) Prec@1 38.125 (36.634) Prec@5 66.250 (67.364) Epoch: [15][8800/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.7340 (2.6126) Prec@1 33.750 (36.632) Prec@5 63.750 (67.363) Epoch: [15][8810/11272] Time 0.949 (0.809) Data 0.001 (0.002) Loss 2.8095 (2.6125) Prec@1 31.875 (36.632) Prec@5 65.000 (67.365) Epoch: [15][8820/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.7272 (2.6125) Prec@1 32.500 (36.631) Prec@5 66.250 (67.364) Epoch: [15][8830/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.5636 (2.6125) Prec@1 35.625 (36.630) Prec@5 68.750 (67.365) Epoch: [15][8840/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.6844 (2.6125) Prec@1 33.750 (36.630) Prec@5 63.125 (67.365) Epoch: [15][8850/11272] Time 0.935 (0.809) Data 0.002 (0.002) Loss 2.5245 (2.6125) Prec@1 40.000 (36.632) Prec@5 70.000 (67.366) Epoch: [15][8860/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.9249 (2.6125) Prec@1 33.125 (36.634) Prec@5 63.125 (67.366) Epoch: [15][8870/11272] Time 0.745 (0.809) Data 0.001 (0.002) Loss 2.8434 (2.6125) Prec@1 29.375 (36.631) Prec@5 61.875 (67.366) Epoch: [15][8880/11272] Time 0.785 (0.809) Data 0.002 (0.002) Loss 2.6005 (2.6125) Prec@1 33.125 (36.633) Prec@5 70.000 (67.367) Epoch: [15][8890/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.9145 (2.6127) Prec@1 28.125 (36.631) Prec@5 63.125 (67.364) Epoch: [15][8900/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.6406 (2.6127) Prec@1 36.250 (36.631) Prec@5 68.750 (67.364) Epoch: [15][8910/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.3838 (2.6127) Prec@1 40.000 (36.632) Prec@5 73.125 (67.365) Epoch: [15][8920/11272] Time 0.912 (0.809) Data 0.001 (0.002) Loss 2.5992 (2.6127) Prec@1 33.125 (36.632) Prec@5 69.375 (67.365) Epoch: [15][8930/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.5186 (2.6127) Prec@1 41.875 (36.631) Prec@5 70.625 (67.365) Epoch: [15][8940/11272] Time 0.712 (0.809) Data 0.001 (0.002) Loss 2.6577 (2.6126) Prec@1 35.625 (36.632) Prec@5 63.750 (67.366) Epoch: [15][8950/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.5506 (2.6126) Prec@1 36.875 (36.633) Prec@5 70.625 (67.366) Epoch: [15][8960/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.6973 (2.6127) Prec@1 31.875 (36.630) Prec@5 69.375 (67.364) Epoch: [15][8970/11272] Time 0.906 (0.810) Data 0.001 (0.002) Loss 2.5020 (2.6127) Prec@1 38.125 (36.630) Prec@5 69.375 (67.365) Epoch: [15][8980/11272] Time 0.744 (0.809) Data 0.002 (0.002) Loss 2.5506 (2.6126) Prec@1 38.125 (36.630) Prec@5 66.875 (67.367) Epoch: [15][8990/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.4509 (2.6126) Prec@1 39.375 (36.630) Prec@5 70.000 (67.366) Epoch: [15][9000/11272] Time 0.926 (0.809) Data 0.002 (0.002) Loss 2.5832 (2.6126) Prec@1 36.250 (36.632) Prec@5 68.125 (67.367) Epoch: [15][9010/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.7534 (2.6127) Prec@1 33.125 (36.629) Prec@5 66.250 (67.367) Epoch: [15][9020/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 2.9440 (2.6127) Prec@1 30.625 (36.627) Prec@5 61.875 (67.366) Epoch: [15][9030/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.4864 (2.6127) Prec@1 41.250 (36.628) Prec@5 68.750 (67.366) Epoch: [15][9040/11272] Time 0.886 (0.809) Data 0.002 (0.002) Loss 2.8495 (2.6127) Prec@1 31.875 (36.626) Prec@5 61.875 (67.365) Epoch: [15][9050/11272] Time 0.830 (0.809) Data 0.001 (0.002) Loss 2.6172 (2.6128) Prec@1 40.625 (36.625) Prec@5 66.250 (67.363) Epoch: [15][9060/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.5802 (2.6129) Prec@1 39.375 (36.626) Prec@5 69.375 (67.363) Epoch: [15][9070/11272] Time 0.876 (0.809) Data 0.001 (0.002) Loss 2.6684 (2.6128) Prec@1 32.500 (36.626) Prec@5 69.375 (67.364) Epoch: [15][9080/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.6488 (2.6128) Prec@1 41.875 (36.626) Prec@5 68.125 (67.366) Epoch: [15][9090/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.4796 (2.6127) Prec@1 39.375 (36.628) Prec@5 70.000 (67.365) Epoch: [15][9100/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.5177 (2.6126) Prec@1 36.250 (36.629) Prec@5 72.500 (67.368) Epoch: [15][9110/11272] Time 0.898 (0.809) Data 0.002 (0.002) Loss 2.7714 (2.6126) Prec@1 35.000 (36.630) Prec@5 63.750 (67.369) Epoch: [15][9120/11272] Time 0.862 (0.809) Data 0.001 (0.002) Loss 2.4566 (2.6125) Prec@1 35.000 (36.631) Prec@5 68.125 (67.370) Epoch: [15][9130/11272] Time 0.791 (0.809) Data 0.002 (0.002) Loss 2.3231 (2.6125) Prec@1 42.500 (36.632) Prec@5 75.625 (67.370) Epoch: [15][9140/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.6512 (2.6126) Prec@1 32.500 (36.631) Prec@5 66.875 (67.367) Epoch: [15][9150/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.7281 (2.6127) Prec@1 41.250 (36.631) Prec@5 63.750 (67.365) Epoch: [15][9160/11272] Time 0.836 (0.809) Data 0.001 (0.002) Loss 2.6317 (2.6127) Prec@1 36.875 (36.628) Prec@5 69.375 (67.365) Epoch: [15][9170/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.4815 (2.6127) Prec@1 36.875 (36.628) Prec@5 68.750 (67.365) Epoch: [15][9180/11272] Time 0.764 (0.809) Data 0.001 (0.002) Loss 2.4763 (2.6126) Prec@1 45.625 (36.631) Prec@5 66.250 (67.366) Epoch: [15][9190/11272] Time 0.901 (0.809) Data 0.002 (0.002) Loss 2.4263 (2.6126) Prec@1 37.500 (36.631) Prec@5 70.625 (67.367) Epoch: [15][9200/11272] Time 0.757 (0.809) Data 0.001 (0.002) Loss 2.5090 (2.6126) Prec@1 35.000 (36.630) Prec@5 73.750 (67.367) Epoch: [15][9210/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5185 (2.6126) Prec@1 35.000 (36.631) Prec@5 65.625 (67.366) Epoch: [15][9220/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.6581 (2.6126) Prec@1 34.375 (36.633) Prec@5 68.125 (67.365) Epoch: [15][9230/11272] Time 0.840 (0.809) Data 0.001 (0.002) Loss 2.6804 (2.6126) Prec@1 34.375 (36.635) Prec@5 63.750 (67.365) Epoch: [15][9240/11272] Time 0.787 (0.809) Data 0.002 (0.002) Loss 2.7048 (2.6127) Prec@1 33.750 (36.633) Prec@5 62.500 (67.362) Epoch: [15][9250/11272] Time 0.761 (0.809) Data 0.001 (0.002) Loss 2.7210 (2.6128) Prec@1 35.000 (36.630) Prec@5 63.125 (67.360) Epoch: [15][9260/11272] Time 0.929 (0.809) Data 0.002 (0.002) Loss 2.7085 (2.6128) Prec@1 40.000 (36.629) Prec@5 65.625 (67.360) Epoch: [15][9270/11272] Time 0.850 (0.809) Data 0.001 (0.002) Loss 2.7933 (2.6129) Prec@1 33.125 (36.628) Prec@5 61.875 (67.360) Epoch: [15][9280/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.4855 (2.6129) Prec@1 36.250 (36.626) Prec@5 71.250 (67.360) Epoch: [15][9290/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 3.0681 (2.6130) Prec@1 25.000 (36.625) Prec@5 58.125 (67.358) Epoch: [15][9300/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.3200 (2.6131) Prec@1 45.625 (36.624) Prec@5 73.750 (67.357) Epoch: [15][9310/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.7894 (2.6130) Prec@1 31.875 (36.626) Prec@5 64.375 (67.358) Epoch: [15][9320/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.5175 (2.6130) Prec@1 39.375 (36.626) Prec@5 68.750 (67.358) Epoch: [15][9330/11272] Time 0.818 (0.809) Data 0.001 (0.002) Loss 2.4633 (2.6132) Prec@1 37.500 (36.623) Prec@5 68.750 (67.355) Epoch: [15][9340/11272] Time 0.835 (0.809) Data 0.001 (0.002) Loss 2.7618 (2.6131) Prec@1 34.375 (36.624) Prec@5 63.125 (67.355) Epoch: [15][9350/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.6847 (2.6131) Prec@1 36.250 (36.624) Prec@5 67.500 (67.356) Epoch: [15][9360/11272] Time 0.703 (0.809) Data 0.001 (0.002) Loss 2.7020 (2.6132) Prec@1 33.125 (36.621) Prec@5 68.750 (67.355) Epoch: [15][9370/11272] Time 0.904 (0.809) Data 0.003 (0.002) Loss 2.8218 (2.6133) Prec@1 32.500 (36.620) Prec@5 60.625 (67.352) Epoch: [15][9380/11272] Time 0.833 (0.809) Data 0.001 (0.002) Loss 2.6829 (2.6133) Prec@1 30.625 (36.619) Prec@5 67.500 (67.351) Epoch: [15][9390/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.2647 (2.6133) Prec@1 43.125 (36.619) Prec@5 68.125 (67.350) Epoch: [15][9400/11272] Time 0.766 (0.809) Data 0.001 (0.002) Loss 2.8297 (2.6134) Prec@1 33.750 (36.618) Prec@5 65.000 (67.351) Epoch: [15][9410/11272] Time 0.843 (0.809) Data 0.001 (0.002) Loss 2.6371 (2.6134) Prec@1 38.750 (36.618) Prec@5 68.125 (67.351) Epoch: [15][9420/11272] Time 0.823 (0.809) Data 0.001 (0.002) Loss 2.5909 (2.6133) Prec@1 36.875 (36.617) Prec@5 68.125 (67.352) Epoch: [15][9430/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.9843 (2.6134) Prec@1 31.875 (36.616) Prec@5 57.500 (67.352) Epoch: [15][9440/11272] Time 0.772 (0.809) Data 0.002 (0.002) Loss 2.5700 (2.6134) Prec@1 37.500 (36.615) Prec@5 70.000 (67.352) Epoch: [15][9450/11272] Time 0.884 (0.809) Data 0.002 (0.002) Loss 2.6066 (2.6134) Prec@1 34.375 (36.614) Prec@5 67.500 (67.352) Epoch: [15][9460/11272] Time 0.770 (0.809) Data 0.003 (0.002) Loss 2.6156 (2.6135) Prec@1 39.375 (36.612) Prec@5 65.625 (67.351) Epoch: [15][9470/11272] Time 0.735 (0.809) Data 0.002 (0.002) Loss 2.4642 (2.6135) Prec@1 38.125 (36.613) Prec@5 72.500 (67.352) Epoch: [15][9480/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.4147 (2.6134) Prec@1 39.375 (36.616) Prec@5 70.625 (67.354) Epoch: [15][9490/11272] Time 0.836 (0.809) Data 0.002 (0.002) Loss 2.6954 (2.6133) Prec@1 32.500 (36.616) Prec@5 63.750 (67.355) Epoch: [15][9500/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.9499 (2.6134) Prec@1 31.875 (36.615) Prec@5 58.125 (67.354) Epoch: [15][9510/11272] Time 0.734 (0.809) Data 0.002 (0.002) Loss 2.6154 (2.6133) Prec@1 36.250 (36.617) Prec@5 67.500 (67.353) Epoch: [15][9520/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.5285 (2.6134) Prec@1 38.750 (36.616) Prec@5 68.125 (67.353) Epoch: [15][9530/11272] Time 0.835 (0.809) Data 0.001 (0.002) Loss 2.6677 (2.6133) Prec@1 33.125 (36.619) Prec@5 67.500 (67.352) Epoch: [15][9540/11272] Time 0.744 (0.809) Data 0.001 (0.002) Loss 2.6386 (2.6132) Prec@1 35.000 (36.619) Prec@5 67.500 (67.352) Epoch: [15][9550/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.5376 (2.6133) Prec@1 36.875 (36.617) Prec@5 69.375 (67.351) Epoch: [15][9560/11272] Time 0.868 (0.809) Data 0.001 (0.002) Loss 2.6344 (2.6133) Prec@1 39.375 (36.616) Prec@5 66.250 (67.350) Epoch: [15][9570/11272] Time 0.852 (0.809) Data 0.002 (0.002) Loss 2.6517 (2.6134) Prec@1 35.000 (36.615) Prec@5 68.125 (67.348) Epoch: [15][9580/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.6338 (2.6133) Prec@1 34.375 (36.616) Prec@5 71.250 (67.349) Epoch: [15][9590/11272] Time 0.811 (0.809) Data 0.002 (0.002) Loss 2.6353 (2.6133) Prec@1 37.500 (36.618) Prec@5 66.250 (67.350) Epoch: [15][9600/11272] Time 0.849 (0.809) Data 0.002 (0.002) Loss 2.6533 (2.6133) Prec@1 35.625 (36.617) Prec@5 70.000 (67.350) Epoch: [15][9610/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 2.8724 (2.6134) Prec@1 30.000 (36.615) Prec@5 62.500 (67.349) Epoch: [15][9620/11272] Time 0.751 (0.809) Data 0.002 (0.002) Loss 2.3191 (2.6135) Prec@1 39.375 (36.614) Prec@5 76.250 (67.348) Epoch: [15][9630/11272] Time 0.798 (0.809) Data 0.001 (0.002) Loss 2.6792 (2.6135) Prec@1 36.875 (36.615) Prec@5 66.875 (67.348) Epoch: [15][9640/11272] Time 0.859 (0.809) Data 0.001 (0.002) Loss 2.7183 (2.6135) Prec@1 31.250 (36.615) Prec@5 62.500 (67.346) Epoch: [15][9650/11272] Time 0.742 (0.809) Data 0.002 (0.002) Loss 2.4884 (2.6134) Prec@1 41.250 (36.617) Prec@5 68.125 (67.348) Epoch: [15][9660/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.6419 (2.6135) Prec@1 33.750 (36.616) Prec@5 65.625 (67.345) Epoch: [15][9670/11272] Time 0.844 (0.809) Data 0.002 (0.002) Loss 2.7037 (2.6135) Prec@1 31.875 (36.616) Prec@5 67.500 (67.346) Epoch: [15][9680/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.4353 (2.6135) Prec@1 44.375 (36.616) Prec@5 67.500 (67.345) Epoch: [15][9690/11272] Time 0.761 (0.809) Data 0.001 (0.002) Loss 2.7854 (2.6136) Prec@1 33.125 (36.614) Prec@5 65.000 (67.343) Epoch: [15][9700/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.7588 (2.6136) Prec@1 32.500 (36.613) Prec@5 64.375 (67.342) Epoch: [15][9710/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.7605 (2.6137) Prec@1 35.625 (36.612) Prec@5 66.250 (67.341) Epoch: [15][9720/11272] Time 0.766 (0.809) Data 0.004 (0.002) Loss 2.7715 (2.6137) Prec@1 32.500 (36.611) Prec@5 63.750 (67.341) Epoch: [15][9730/11272] Time 0.751 (0.809) Data 0.001 (0.002) Loss 2.6574 (2.6137) Prec@1 32.500 (36.612) Prec@5 62.500 (67.342) Epoch: [15][9740/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.8972 (2.6136) Prec@1 32.500 (36.613) Prec@5 65.000 (67.342) Epoch: [15][9750/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.8030 (2.6136) Prec@1 29.375 (36.614) Prec@5 67.500 (67.345) Epoch: [15][9760/11272] Time 0.745 (0.809) Data 0.001 (0.002) Loss 2.5448 (2.6137) Prec@1 34.375 (36.612) Prec@5 71.875 (67.343) Epoch: [15][9770/11272] Time 0.746 (0.809) Data 0.001 (0.002) Loss 2.8370 (2.6138) Prec@1 32.500 (36.610) Prec@5 65.000 (67.343) Epoch: [15][9780/11272] Time 0.821 (0.809) Data 0.001 (0.002) Loss 2.6845 (2.6138) Prec@1 36.250 (36.609) Prec@5 65.625 (67.343) Epoch: [15][9790/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.7320 (2.6137) Prec@1 30.625 (36.609) Prec@5 66.250 (67.346) Epoch: [15][9800/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.8790 (2.6138) Prec@1 31.875 (36.607) Prec@5 60.625 (67.344) Epoch: [15][9810/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.6678 (2.6138) Prec@1 36.250 (36.605) Prec@5 66.250 (67.344) Epoch: [15][9820/11272] Time 0.830 (0.809) Data 0.001 (0.002) Loss 2.5883 (2.6139) Prec@1 37.500 (36.604) Prec@5 69.375 (67.342) Epoch: [15][9830/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.4979 (2.6138) Prec@1 39.375 (36.605) Prec@5 71.875 (67.343) Epoch: [15][9840/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.6470 (2.6138) Prec@1 35.625 (36.604) Prec@5 70.000 (67.344) Epoch: [15][9850/11272] Time 0.929 (0.809) Data 0.001 (0.002) Loss 2.6805 (2.6138) Prec@1 37.500 (36.604) Prec@5 65.625 (67.343) Epoch: [15][9860/11272] Time 0.866 (0.809) Data 0.001 (0.002) Loss 2.5831 (2.6138) Prec@1 35.000 (36.602) Prec@5 69.375 (67.344) Epoch: [15][9870/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.5560 (2.6138) Prec@1 34.375 (36.603) Prec@5 70.000 (67.344) Epoch: [15][9880/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.5320 (2.6137) Prec@1 39.375 (36.604) Prec@5 68.125 (67.344) Epoch: [15][9890/11272] Time 0.857 (0.809) Data 0.001 (0.002) Loss 2.8279 (2.6137) Prec@1 29.375 (36.603) Prec@5 63.750 (67.345) Epoch: [15][9900/11272] Time 0.803 (0.809) Data 0.002 (0.002) Loss 2.3657 (2.6137) Prec@1 39.375 (36.603) Prec@5 70.625 (67.346) Epoch: [15][9910/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.6153 (2.6138) Prec@1 40.000 (36.602) Prec@5 71.250 (67.345) Epoch: [15][9920/11272] Time 0.731 (0.809) Data 0.002 (0.002) Loss 2.4458 (2.6138) Prec@1 37.500 (36.602) Prec@5 69.375 (67.344) Epoch: [15][9930/11272] Time 0.916 (0.809) Data 0.002 (0.002) Loss 2.6090 (2.6138) Prec@1 34.375 (36.601) Prec@5 66.250 (67.344) Epoch: [15][9940/11272] Time 0.840 (0.809) Data 0.002 (0.002) Loss 2.7118 (2.6138) Prec@1 32.500 (36.602) Prec@5 65.625 (67.346) Epoch: [15][9950/11272] Time 0.704 (0.809) Data 0.001 (0.002) Loss 2.4750 (2.6137) Prec@1 36.250 (36.603) Prec@5 70.625 (67.344) Epoch: [15][9960/11272] Time 0.739 (0.809) Data 0.002 (0.002) Loss 2.5817 (2.6138) Prec@1 35.000 (36.602) Prec@5 66.250 (67.345) Epoch: [15][9970/11272] Time 0.872 (0.809) Data 0.001 (0.002) Loss 2.5091 (2.6137) Prec@1 38.125 (36.602) Prec@5 63.750 (67.345) Epoch: [15][9980/11272] Time 0.876 (0.809) Data 0.001 (0.002) Loss 2.5067 (2.6137) Prec@1 41.875 (36.603) Prec@5 70.625 (67.346) Epoch: [15][9990/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.5696 (2.6137) Prec@1 36.875 (36.602) Prec@5 67.500 (67.345) Epoch: [15][10000/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.6794 (2.6137) Prec@1 31.875 (36.603) Prec@5 66.875 (67.345) Epoch: [15][10010/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.7143 (2.6137) Prec@1 31.875 (36.603) Prec@5 64.375 (67.345) Epoch: [15][10020/11272] Time 0.773 (0.809) Data 0.001 (0.002) Loss 2.6771 (2.6138) Prec@1 33.125 (36.601) Prec@5 63.750 (67.342) Epoch: [15][10030/11272] Time 0.775 (0.809) Data 0.003 (0.002) Loss 2.6544 (2.6138) Prec@1 38.125 (36.601) Prec@5 65.000 (67.342) Epoch: [15][10040/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.4795 (2.6139) Prec@1 36.250 (36.600) Prec@5 70.000 (67.339) Epoch: [15][10050/11272] Time 0.840 (0.809) Data 0.002 (0.002) Loss 2.5486 (2.6139) Prec@1 35.625 (36.599) Prec@5 71.250 (67.340) Epoch: [15][10060/11272] Time 0.754 (0.809) Data 0.002 (0.002) Loss 2.5903 (2.6139) Prec@1 34.375 (36.600) Prec@5 68.750 (67.340) Epoch: [15][10070/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.5355 (2.6138) Prec@1 37.500 (36.601) Prec@5 69.375 (67.341) Epoch: [15][10080/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.7878 (2.6138) Prec@1 31.250 (36.601) Prec@5 64.375 (67.341) Epoch: [15][10090/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.4354 (2.6138) Prec@1 38.750 (36.601) Prec@5 70.625 (67.342) Epoch: [15][10100/11272] Time 0.788 (0.809) Data 0.002 (0.002) Loss 2.6678 (2.6137) Prec@1 38.750 (36.602) Prec@5 69.375 (67.343) Epoch: [15][10110/11272] Time 0.754 (0.809) Data 0.002 (0.002) Loss 2.4645 (2.6138) Prec@1 36.875 (36.603) Prec@5 73.125 (67.342) Epoch: [15][10120/11272] Time 0.838 (0.809) Data 0.001 (0.002) Loss 2.6492 (2.6138) Prec@1 34.375 (36.600) Prec@5 64.375 (67.342) Epoch: [15][10130/11272] Time 0.746 (0.809) Data 0.001 (0.002) Loss 2.6853 (2.6138) Prec@1 33.125 (36.600) Prec@5 66.250 (67.342) Epoch: [15][10140/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5646 (2.6138) Prec@1 38.750 (36.600) Prec@5 66.875 (67.342) Epoch: [15][10150/11272] Time 0.961 (0.809) Data 0.002 (0.002) Loss 2.2967 (2.6138) Prec@1 39.375 (36.599) Prec@5 68.750 (67.341) Epoch: [15][10160/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.4375 (2.6138) Prec@1 40.625 (36.601) Prec@5 72.500 (67.341) Epoch: [15][10170/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.7462 (2.6139) Prec@1 28.750 (36.600) Prec@5 64.375 (67.340) Epoch: [15][10180/11272] Time 0.721 (0.809) Data 0.001 (0.002) Loss 2.5098 (2.6138) Prec@1 31.250 (36.601) Prec@5 70.625 (67.341) Epoch: [15][10190/11272] Time 0.901 (0.809) Data 0.002 (0.002) Loss 2.4358 (2.6138) Prec@1 43.125 (36.603) Prec@5 73.125 (67.343) Epoch: [15][10200/11272] Time 0.835 (0.809) Data 0.002 (0.002) Loss 2.8007 (2.6138) Prec@1 35.625 (36.602) Prec@5 61.250 (67.341) Epoch: [15][10210/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5163 (2.6138) Prec@1 34.375 (36.601) Prec@5 69.375 (67.342) Epoch: [15][10220/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 2.8310 (2.6138) Prec@1 30.625 (36.601) Prec@5 66.875 (67.342) Epoch: [15][10230/11272] Time 0.836 (0.809) Data 0.002 (0.002) Loss 2.4805 (2.6137) Prec@1 36.250 (36.601) Prec@5 70.000 (67.344) Epoch: [15][10240/11272] Time 0.907 (0.809) Data 0.002 (0.002) Loss 2.6230 (2.6137) Prec@1 39.375 (36.600) Prec@5 65.000 (67.344) Epoch: [15][10250/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.5023 (2.6137) Prec@1 36.875 (36.600) Prec@5 67.500 (67.343) Epoch: [15][10260/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.4095 (2.6136) Prec@1 44.375 (36.602) Prec@5 71.250 (67.344) Epoch: [15][10270/11272] Time 0.897 (0.809) Data 0.002 (0.002) Loss 2.4536 (2.6137) Prec@1 45.625 (36.602) Prec@5 68.125 (67.344) Epoch: [15][10280/11272] Time 0.749 (0.809) Data 0.002 (0.002) Loss 2.6482 (2.6137) Prec@1 35.625 (36.603) Prec@5 68.750 (67.342) Epoch: [15][10290/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.7071 (2.6137) Prec@1 35.625 (36.604) Prec@5 62.500 (67.341) Epoch: [15][10300/11272] Time 0.853 (0.809) Data 0.002 (0.002) Loss 2.7540 (2.6136) Prec@1 26.250 (36.603) Prec@5 65.000 (67.342) Epoch: [15][10310/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 2.7925 (2.6137) Prec@1 31.250 (36.602) Prec@5 63.125 (67.341) Epoch: [15][10320/11272] Time 0.734 (0.809) Data 0.002 (0.002) Loss 2.5248 (2.6137) Prec@1 41.875 (36.602) Prec@5 71.250 (67.341) Epoch: [15][10330/11272] Time 0.755 (0.809) Data 0.001 (0.002) Loss 2.5190 (2.6137) Prec@1 36.250 (36.602) Prec@5 71.875 (67.340) Epoch: [15][10340/11272] Time 0.873 (0.809) Data 0.001 (0.002) Loss 2.7303 (2.6137) Prec@1 36.250 (36.602) Prec@5 62.500 (67.340) Epoch: [15][10350/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.7058 (2.6137) Prec@1 36.250 (36.601) Prec@5 66.250 (67.340) Epoch: [15][10360/11272] Time 0.749 (0.809) Data 0.002 (0.002) Loss 2.8046 (2.6138) Prec@1 33.125 (36.600) Prec@5 60.000 (67.338) Epoch: [15][10370/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.6656 (2.6138) Prec@1 36.250 (36.599) Prec@5 65.625 (67.338) Epoch: [15][10380/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.3454 (2.6137) Prec@1 42.500 (36.600) Prec@5 72.500 (67.339) Epoch: [15][10390/11272] Time 0.743 (0.809) Data 0.004 (0.002) Loss 2.7549 (2.6138) Prec@1 33.750 (36.599) Prec@5 68.125 (67.338) Epoch: [15][10400/11272] Time 0.772 (0.809) Data 0.001 (0.002) Loss 2.6267 (2.6139) Prec@1 34.375 (36.597) Prec@5 66.875 (67.337) Epoch: [15][10410/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.6197 (2.6139) Prec@1 38.750 (36.598) Prec@5 67.500 (67.338) Epoch: [15][10420/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.4494 (2.6139) Prec@1 38.125 (36.598) Prec@5 70.000 (67.338) Epoch: [15][10430/11272] Time 0.746 (0.809) Data 0.001 (0.002) Loss 2.5542 (2.6137) Prec@1 36.250 (36.601) Prec@5 69.375 (67.341) Epoch: [15][10440/11272] Time 0.745 (0.809) Data 0.001 (0.002) Loss 2.8134 (2.6139) Prec@1 32.500 (36.598) Prec@5 59.375 (67.338) Epoch: [15][10450/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 2.7782 (2.6139) Prec@1 31.875 (36.598) Prec@5 63.125 (67.336) Epoch: [15][10460/11272] Time 0.841 (0.809) Data 0.001 (0.002) Loss 2.5594 (2.6138) Prec@1 33.750 (36.601) Prec@5 65.000 (67.338) Epoch: [15][10470/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.5414 (2.6138) Prec@1 40.625 (36.600) Prec@5 68.750 (67.337) Epoch: [15][10480/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.8116 (2.6139) Prec@1 36.250 (36.600) Prec@5 64.375 (67.335) Epoch: [15][10490/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.6584 (2.6138) Prec@1 35.625 (36.600) Prec@5 65.000 (67.336) Epoch: [15][10500/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.3737 (2.6138) Prec@1 43.125 (36.602) Prec@5 71.875 (67.338) Epoch: [15][10510/11272] Time 0.703 (0.809) Data 0.001 (0.002) Loss 2.4616 (2.6137) Prec@1 38.750 (36.603) Prec@5 71.875 (67.338) Epoch: [15][10520/11272] Time 0.861 (0.809) Data 0.001 (0.002) Loss 2.4759 (2.6138) Prec@1 39.375 (36.602) Prec@5 71.250 (67.337) Epoch: [15][10530/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.5542 (2.6138) Prec@1 39.375 (36.603) Prec@5 65.625 (67.336) Epoch: [15][10540/11272] Time 0.752 (0.809) Data 0.002 (0.002) Loss 2.7965 (2.6138) Prec@1 32.500 (36.601) Prec@5 64.375 (67.334) Epoch: [15][10550/11272] Time 0.796 (0.809) Data 0.001 (0.002) Loss 2.6638 (2.6138) Prec@1 37.500 (36.601) Prec@5 66.250 (67.333) Epoch: [15][10560/11272] Time 0.910 (0.809) Data 0.002 (0.002) Loss 2.5818 (2.6138) Prec@1 37.500 (36.600) Prec@5 63.750 (67.333) Epoch: [15][10570/11272] Time 0.825 (0.809) Data 0.001 (0.002) Loss 2.6801 (2.6138) Prec@1 35.000 (36.600) Prec@5 64.375 (67.335) Epoch: [15][10580/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5760 (2.6138) Prec@1 35.000 (36.601) Prec@5 68.750 (67.334) Epoch: [15][10590/11272] Time 0.719 (0.809) Data 0.001 (0.002) Loss 2.7520 (2.6139) Prec@1 35.000 (36.600) Prec@5 63.125 (67.333) Epoch: [15][10600/11272] Time 0.901 (0.809) Data 0.002 (0.002) Loss 2.2675 (2.6138) Prec@1 40.625 (36.601) Prec@5 75.000 (67.336) Epoch: [15][10610/11272] Time 0.866 (0.809) Data 0.003 (0.002) Loss 2.5384 (2.6137) Prec@1 34.375 (36.601) Prec@5 65.625 (67.337) Epoch: [15][10620/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.5103 (2.6137) Prec@1 37.500 (36.602) Prec@5 66.250 (67.338) Epoch: [15][10630/11272] Time 0.730 (0.809) Data 0.002 (0.002) Loss 2.6172 (2.6136) Prec@1 37.500 (36.603) Prec@5 68.125 (67.341) Epoch: [15][10640/11272] Time 0.860 (0.809) Data 0.001 (0.002) Loss 2.6294 (2.6135) Prec@1 40.000 (36.604) Prec@5 66.250 (67.342) Epoch: [15][10650/11272] Time 0.773 (0.809) Data 0.003 (0.002) Loss 2.4798 (2.6135) Prec@1 35.625 (36.604) Prec@5 70.625 (67.342) Epoch: [15][10660/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.6318 (2.6135) Prec@1 36.875 (36.603) Prec@5 67.500 (67.341) Epoch: [15][10670/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.5560 (2.6135) Prec@1 40.625 (36.604) Prec@5 66.875 (67.341) Epoch: [15][10680/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.5554 (2.6134) Prec@1 40.000 (36.606) Prec@5 70.000 (67.344) Epoch: [15][10690/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.3420 (2.6133) Prec@1 48.750 (36.606) Prec@5 73.750 (67.346) Epoch: [15][10700/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.6522 (2.6133) Prec@1 33.750 (36.608) Prec@5 68.750 (67.348) Epoch: [15][10710/11272] Time 0.896 (0.809) Data 0.002 (0.002) Loss 2.8139 (2.6133) Prec@1 30.000 (36.607) Prec@5 65.625 (67.347) Epoch: [15][10720/11272] Time 0.844 (0.809) Data 0.002 (0.002) Loss 2.7413 (2.6134) Prec@1 36.875 (36.607) Prec@5 64.375 (67.346) Epoch: [15][10730/11272] Time 0.744 (0.809) Data 0.001 (0.002) Loss 2.5782 (2.6134) Prec@1 36.250 (36.607) Prec@5 70.000 (67.347) Epoch: [15][10740/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.3371 (2.6133) Prec@1 45.000 (36.608) Prec@5 70.000 (67.349) Epoch: [15][10750/11272] Time 0.869 (0.809) Data 0.001 (0.002) Loss 2.6598 (2.6133) Prec@1 37.500 (36.608) Prec@5 68.750 (67.348) Epoch: [15][10760/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.4998 (2.6132) Prec@1 35.625 (36.609) Prec@5 70.000 (67.349) Epoch: [15][10770/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.7439 (2.6132) Prec@1 31.875 (36.608) Prec@5 63.125 (67.350) Epoch: [15][10780/11272] Time 0.813 (0.809) Data 0.001 (0.002) Loss 2.7457 (2.6132) Prec@1 35.625 (36.609) Prec@5 66.250 (67.351) Epoch: [15][10790/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.5393 (2.6132) Prec@1 35.625 (36.608) Prec@5 68.750 (67.350) Epoch: [15][10800/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5865 (2.6133) Prec@1 37.500 (36.606) Prec@5 69.375 (67.349) Epoch: [15][10810/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.5692 (2.6134) Prec@1 38.125 (36.605) Prec@5 66.250 (67.346) Epoch: [15][10820/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.6539 (2.6133) Prec@1 33.125 (36.605) Prec@5 61.875 (67.347) Epoch: [15][10830/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.5920 (2.6134) Prec@1 36.250 (36.603) Prec@5 66.250 (67.345) Epoch: [15][10840/11272] Time 0.751 (0.809) Data 0.001 (0.002) Loss 2.3306 (2.6134) Prec@1 41.875 (36.605) Prec@5 70.000 (67.346) Epoch: [15][10850/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.7849 (2.6133) Prec@1 32.500 (36.606) Prec@5 63.125 (67.346) Epoch: [15][10860/11272] Time 0.838 (0.809) Data 0.002 (0.002) Loss 2.3379 (2.6133) Prec@1 37.500 (36.607) Prec@5 72.500 (67.347) Epoch: [15][10870/11272] Time 0.842 (0.809) Data 0.001 (0.002) Loss 2.3276 (2.6134) Prec@1 41.250 (36.605) Prec@5 72.500 (67.345) Epoch: [15][10880/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 2.6097 (2.6134) Prec@1 38.125 (36.604) Prec@5 66.875 (67.344) Epoch: [15][10890/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.6139 (2.6133) Prec@1 35.000 (36.606) Prec@5 66.875 (67.346) Epoch: [15][10900/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.3483 (2.6134) Prec@1 35.625 (36.604) Prec@5 71.875 (67.345) Epoch: [15][10910/11272] Time 0.837 (0.809) Data 0.002 (0.002) Loss 2.5896 (2.6134) Prec@1 41.250 (36.604) Prec@5 70.000 (67.344) Epoch: [15][10920/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.7269 (2.6133) Prec@1 31.250 (36.604) Prec@5 67.500 (67.346) Epoch: [15][10930/11272] Time 0.912 (0.809) Data 0.002 (0.002) Loss 2.8052 (2.6134) Prec@1 33.125 (36.603) Prec@5 63.125 (67.346) Epoch: [15][10940/11272] Time 0.941 (0.809) Data 0.002 (0.002) Loss 2.4749 (2.6134) Prec@1 40.625 (36.604) Prec@5 70.000 (67.346) Epoch: [15][10950/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.6042 (2.6134) Prec@1 38.125 (36.603) Prec@5 64.375 (67.345) Epoch: [15][10960/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.5183 (2.6134) Prec@1 36.250 (36.601) Prec@5 72.500 (67.344) Epoch: [15][10970/11272] Time 0.881 (0.809) Data 0.001 (0.002) Loss 2.2647 (2.6134) Prec@1 45.000 (36.600) Prec@5 73.750 (67.344) Epoch: [15][10980/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.7338 (2.6135) Prec@1 32.500 (36.599) Prec@5 64.375 (67.343) Epoch: [15][10990/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.8120 (2.6135) Prec@1 33.125 (36.599) Prec@5 63.750 (67.343) Epoch: [15][11000/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.8725 (2.6135) Prec@1 33.750 (36.600) Prec@5 61.875 (67.343) Epoch: [15][11010/11272] Time 0.848 (0.809) Data 0.001 (0.002) Loss 2.5184 (2.6135) Prec@1 41.875 (36.601) Prec@5 70.000 (67.343) Epoch: [15][11020/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.6008 (2.6135) Prec@1 37.500 (36.600) Prec@5 67.500 (67.344) Epoch: [15][11030/11272] Time 0.726 (0.809) Data 0.002 (0.002) Loss 2.9047 (2.6136) Prec@1 30.625 (36.598) Prec@5 60.625 (67.342) Epoch: [15][11040/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.6651 (2.6136) Prec@1 34.375 (36.598) Prec@5 69.375 (67.341) Epoch: [15][11050/11272] Time 0.874 (0.809) Data 0.001 (0.002) Loss 2.6670 (2.6137) Prec@1 36.875 (36.597) Prec@5 61.250 (67.340) Epoch: [15][11060/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.8337 (2.6138) Prec@1 35.625 (36.596) Prec@5 63.750 (67.339) Epoch: [15][11070/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.6977 (2.6138) Prec@1 30.625 (36.596) Prec@5 63.750 (67.337) Epoch: [15][11080/11272] Time 0.895 (0.809) Data 0.002 (0.002) Loss 2.7174 (2.6137) Prec@1 30.625 (36.597) Prec@5 69.375 (67.337) Epoch: [15][11090/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.5690 (2.6138) Prec@1 34.375 (36.596) Prec@5 66.875 (67.338) Epoch: [15][11100/11272] Time 0.741 (0.809) Data 0.002 (0.002) Loss 2.6465 (2.6138) Prec@1 38.125 (36.596) Prec@5 65.625 (67.336) Epoch: [15][11110/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.9486 (2.6138) Prec@1 26.875 (36.595) Prec@5 63.750 (67.337) Epoch: [15][11120/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.4335 (2.6138) Prec@1 42.500 (36.595) Prec@5 70.000 (67.335) Epoch: [15][11130/11272] Time 0.829 (0.809) Data 0.001 (0.002) Loss 2.6394 (2.6138) Prec@1 36.250 (36.596) Prec@5 63.125 (67.334) Epoch: [15][11140/11272] Time 0.744 (0.809) Data 0.002 (0.002) Loss 2.6606 (2.6138) Prec@1 32.500 (36.596) Prec@5 62.500 (67.335) Epoch: [15][11150/11272] Time 0.697 (0.809) Data 0.001 (0.002) Loss 2.5763 (2.6139) Prec@1 32.500 (36.594) Prec@5 71.875 (67.334) Epoch: [15][11160/11272] Time 0.897 (0.809) Data 0.002 (0.002) Loss 2.5451 (2.6139) Prec@1 37.500 (36.595) Prec@5 68.125 (67.333) Epoch: [15][11170/11272] Time 0.835 (0.809) Data 0.002 (0.002) Loss 2.5647 (2.6138) Prec@1 33.125 (36.595) Prec@5 67.500 (67.334) Epoch: [15][11180/11272] Time 0.726 (0.809) Data 0.002 (0.002) Loss 2.7969 (2.6138) Prec@1 37.500 (36.596) Prec@5 62.500 (67.334) Epoch: [15][11190/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 2.5082 (2.6138) Prec@1 43.125 (36.597) Prec@5 68.125 (67.334) Epoch: [15][11200/11272] Time 0.867 (0.809) Data 0.001 (0.002) Loss 2.7210 (2.6139) Prec@1 36.250 (36.596) Prec@5 64.375 (67.332) Epoch: [15][11210/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.7902 (2.6139) Prec@1 30.625 (36.596) Prec@5 65.000 (67.332) Epoch: [15][11220/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.7885 (2.6140) Prec@1 42.500 (36.597) Prec@5 63.125 (67.331) Epoch: [15][11230/11272] Time 0.852 (0.809) Data 0.001 (0.002) Loss 2.5417 (2.6139) Prec@1 40.625 (36.599) Prec@5 68.125 (67.331) Epoch: [15][11240/11272] Time 0.848 (0.809) Data 0.001 (0.002) Loss 2.5068 (2.6139) Prec@1 38.125 (36.600) Prec@5 68.125 (67.330) Epoch: [15][11250/11272] Time 0.753 (0.809) Data 0.001 (0.002) Loss 2.7772 (2.6139) Prec@1 30.625 (36.599) Prec@5 63.750 (67.329) Epoch: [15][11260/11272] Time 0.753 (0.809) Data 0.002 (0.002) Loss 2.6593 (2.6139) Prec@1 35.000 (36.599) Prec@5 63.750 (67.329) Epoch: [15][11270/11272] Time 0.794 (0.809) Data 0.000 (0.002) Loss 2.5482 (2.6139) Prec@1 39.375 (36.600) Prec@5 69.375 (67.330) Test: [0/229] Time 1.342 (1.342) Loss 1.4849 (1.4849) Prec@1 40.000 (40.000) Prec@5 94.375 (94.375) Test: [10/229] Time 0.386 (0.473) Loss 1.8241 (2.1680) Prec@1 47.500 (42.670) Prec@5 89.375 (78.636) Test: [20/229] Time 0.449 (0.438) Loss 2.5950 (2.2504) Prec@1 34.375 (41.756) Prec@5 66.250 (76.131) Test: [30/229] Time 0.337 (0.424) Loss 2.0946 (2.1971) Prec@1 40.625 (43.750) Prec@5 80.625 (76.190) Test: [40/229] Time 0.354 (0.418) Loss 0.7345 (2.2255) Prec@1 86.875 (43.521) Prec@5 91.875 (75.595) Test: [50/229] Time 0.416 (0.413) Loss 3.0481 (2.2418) Prec@1 22.500 (43.321) Prec@5 58.750 (74.890) Test: [60/229] Time 0.335 (0.406) Loss 3.6206 (2.2679) Prec@1 11.250 (42.889) Prec@5 48.125 (74.078) Test: [70/229] Time 0.466 (0.404) Loss 1.9707 (2.2773) Prec@1 47.500 (42.210) Prec@5 76.875 (74.181) Test: [80/229] Time 0.350 (0.401) Loss 3.3594 (2.3043) Prec@1 26.875 (41.690) Prec@5 48.125 (73.974) Test: [90/229] Time 0.419 (0.401) Loss 1.8990 (2.2875) Prec@1 58.125 (42.074) Prec@5 77.500 (74.464) Test: [100/229] Time 0.400 (0.401) Loss 2.4746 (2.2667) Prec@1 38.125 (42.884) Prec@5 71.875 (74.647) Test: [110/229] Time 0.359 (0.401) Loss 2.0818 (2.2592) Prec@1 48.125 (42.883) Prec@5 78.750 (75.000) Test: [120/229] Time 0.441 (0.400) Loss 2.8198 (2.2739) Prec@1 31.250 (42.309) Prec@5 66.250 (75.000) Test: [130/229] Time 0.397 (0.401) Loss 1.6031 (2.2769) Prec@1 56.250 (42.309) Prec@5 83.125 (74.857) Test: [140/229] Time 0.438 (0.400) Loss 2.2636 (2.3015) Prec@1 41.250 (41.636) Prec@5 81.250 (74.535) Test: [150/229] Time 0.341 (0.399) Loss 1.7895 (2.3167) Prec@1 60.625 (41.387) Prec@5 82.500 (74.238) Test: [160/229] Time 0.387 (0.398) Loss 1.8548 (2.3238) Prec@1 53.125 (41.215) Prec@5 85.625 (74.138) Test: [170/229] Time 0.447 (0.397) Loss 1.9137 (2.3366) Prec@1 51.875 (40.833) Prec@5 81.875 (73.885) Test: [180/229] Time 0.355 (0.397) Loss 2.9280 (2.3462) Prec@1 28.750 (40.694) Prec@5 54.375 (73.671) Test: [190/229] Time 0.425 (0.397) Loss 1.8815 (2.3357) Prec@1 48.750 (40.991) Prec@5 86.250 (73.835) Test: [200/229] Time 0.379 (0.397) Loss 1.9172 (2.3194) Prec@1 49.375 (41.178) Prec@5 78.750 (74.210) Test: [210/229] Time 0.434 (0.397) Loss 1.4454 (2.3168) Prec@1 56.875 (41.357) Prec@5 91.250 (74.268) Test: [220/229] Time 0.386 (0.398) Loss 1.9394 (2.3034) Prec@1 53.750 (41.787) Prec@5 79.375 (74.477) * Prec@1 42.141 Prec@5 74.584 Epoch: [16][0/11272] Time 2.908 (2.908) Data 1.890 (1.890) Loss 2.5652 (2.5652) Prec@1 36.250 (36.250) Prec@5 68.125 (68.125) Epoch: [16][10/11272] Time 0.849 (0.994) Data 0.003 (0.173) Loss 2.5470 (2.5793) Prec@1 33.750 (36.534) Prec@5 65.625 (67.443) Epoch: [16][20/11272] Time 0.755 (0.894) Data 0.002 (0.091) Loss 2.8055 (2.5698) Prec@1 30.625 (36.964) Prec@5 63.125 (67.917) Epoch: [16][30/11272] Time 0.726 (0.866) Data 0.001 (0.062) Loss 2.6616 (2.5632) Prec@1 37.500 (37.258) Prec@5 66.875 (68.004) Epoch: [16][40/11272] Time 0.830 (0.853) Data 0.001 (0.048) Loss 2.4686 (2.5698) Prec@1 41.875 (37.180) Prec@5 68.125 (67.790) Epoch: [16][50/11272] Time 0.863 (0.843) Data 0.002 (0.039) Loss 2.6281 (2.5817) Prec@1 37.500 (37.292) Prec@5 66.875 (67.561) Epoch: [16][60/11272] Time 0.733 (0.836) Data 0.001 (0.033) Loss 2.5493 (2.5822) Prec@1 36.875 (37.131) Prec@5 65.000 (67.633) Epoch: [16][70/11272] Time 0.752 (0.835) Data 0.002 (0.028) Loss 2.7077 (2.5699) Prec@1 30.625 (37.254) Prec@5 66.875 (67.975) Epoch: [16][80/11272] Time 0.877 (0.834) Data 0.002 (0.025) Loss 2.7633 (2.5733) Prec@1 38.750 (37.284) Prec@5 63.750 (67.855) Epoch: [16][90/11272] Time 0.802 (0.829) Data 0.001 (0.022) Loss 2.4710 (2.5801) Prec@1 41.875 (37.356) Prec@5 74.375 (67.713) Epoch: [16][100/11272] Time 0.739 (0.825) Data 0.001 (0.020) Loss 2.7700 (2.5816) Prec@1 32.500 (37.277) Prec@5 64.375 (67.686) Epoch: [16][110/11272] Time 0.733 (0.823) Data 0.002 (0.019) Loss 2.6683 (2.5805) Prec@1 34.375 (37.314) Prec@5 63.750 (67.782) Epoch: [16][120/11272] Time 0.838 (0.822) Data 0.001 (0.017) Loss 2.6732 (2.5829) Prec@1 40.000 (37.335) Prec@5 65.625 (67.676) Epoch: [16][130/11272] Time 0.726 (0.820) Data 0.001 (0.016) Loss 2.5160 (2.5814) Prec@1 36.875 (37.376) Prec@5 66.250 (67.753) Epoch: [16][140/11272] Time 0.738 (0.819) Data 0.001 (0.015) Loss 2.9309 (2.5857) Prec@1 31.875 (37.301) Prec@5 61.250 (67.753) Epoch: [16][150/11272] Time 0.873 (0.819) Data 0.002 (0.014) Loss 2.3783 (2.5854) Prec@1 40.625 (37.314) Prec@5 73.125 (67.752) Epoch: [16][160/11272] Time 0.864 (0.819) Data 0.002 (0.013) Loss 2.5403 (2.5831) Prec@1 34.375 (37.290) Prec@5 71.250 (67.768) Epoch: [16][170/11272] Time 0.709 (0.818) Data 0.001 (0.013) Loss 2.3575 (2.5806) Prec@1 42.500 (37.325) Prec@5 70.625 (67.829) Epoch: [16][180/11272] Time 0.727 (0.817) Data 0.001 (0.012) Loss 2.5962 (2.5826) Prec@1 39.375 (37.303) Prec@5 65.625 (67.804) Epoch: [16][190/11272] Time 0.840 (0.816) Data 0.001 (0.011) Loss 2.6321 (2.5822) Prec@1 36.250 (37.212) Prec@5 65.625 (67.808) Epoch: [16][200/11272] Time 0.884 (0.816) Data 0.002 (0.011) Loss 2.6876 (2.5842) Prec@1 31.250 (37.108) Prec@5 68.750 (67.746) Epoch: [16][210/11272] Time 0.739 (0.815) Data 0.001 (0.011) Loss 2.5676 (2.5820) Prec@1 38.125 (37.148) Prec@5 70.625 (67.838) Epoch: [16][220/11272] Time 0.743 (0.815) Data 0.002 (0.010) Loss 2.8458 (2.5858) Prec@1 33.750 (37.101) Prec@5 60.000 (67.777) Epoch: [16][230/11272] Time 0.873 (0.815) Data 0.002 (0.010) Loss 2.8351 (2.5856) Prec@1 30.000 (37.089) Prec@5 65.000 (67.800) Epoch: [16][240/11272] Time 0.830 (0.815) Data 0.002 (0.009) Loss 2.6729 (2.5827) Prec@1 36.875 (37.137) Prec@5 63.125 (67.803) Epoch: [16][250/11272] Time 0.736 (0.814) Data 0.002 (0.009) Loss 2.4280 (2.5834) Prec@1 43.750 (37.179) Prec@5 70.625 (67.774) Epoch: [16][260/11272] Time 0.861 (0.815) Data 0.001 (0.009) Loss 2.4459 (2.5822) Prec@1 33.125 (37.150) Prec@5 75.000 (67.847) Epoch: [16][270/11272] Time 0.866 (0.814) Data 0.002 (0.009) Loss 2.4681 (2.5830) Prec@1 40.000 (37.129) Prec@5 71.875 (67.839) Epoch: [16][280/11272] Time 0.730 (0.814) Data 0.001 (0.008) Loss 2.5814 (2.5818) Prec@1 39.375 (37.131) Prec@5 65.625 (67.876) Epoch: [16][290/11272] Time 0.769 (0.814) Data 0.001 (0.008) Loss 2.6837 (2.5835) Prec@1 36.250 (37.070) Prec@5 65.000 (67.844) Epoch: [16][300/11272] Time 0.841 (0.813) Data 0.001 (0.008) Loss 2.2857 (2.5806) Prec@1 43.125 (37.126) Prec@5 77.500 (67.959) Epoch: [16][310/11272] Time 0.881 (0.813) Data 0.002 (0.008) Loss 2.5947 (2.5790) Prec@1 35.625 (37.144) Prec@5 68.125 (67.992) Epoch: [16][320/11272] Time 0.730 (0.813) Data 0.002 (0.007) Loss 2.8552 (2.5800) Prec@1 28.125 (37.126) Prec@5 60.625 (67.971) Epoch: [16][330/11272] Time 0.729 (0.813) Data 0.001 (0.007) Loss 2.6487 (2.5807) Prec@1 35.625 (37.153) Prec@5 71.250 (67.957) Epoch: [16][340/11272] Time 0.904 (0.813) Data 0.002 (0.007) Loss 2.5772 (2.5824) Prec@1 36.250 (37.126) Prec@5 69.375 (67.953) Epoch: [16][350/11272] Time 0.882 (0.813) Data 0.002 (0.007) Loss 2.7223 (2.5824) Prec@1 39.375 (37.110) Prec@5 65.000 (67.961) Epoch: [16][360/11272] Time 0.753 (0.813) Data 0.001 (0.007) Loss 2.7908 (2.5855) Prec@1 36.875 (37.033) Prec@5 62.500 (67.921) Epoch: [16][370/11272] Time 0.731 (0.812) Data 0.001 (0.007) Loss 2.6937 (2.5857) Prec@1 32.500 (37.008) Prec@5 65.000 (67.943) Epoch: [16][380/11272] Time 0.907 (0.812) Data 0.002 (0.007) Loss 2.5169 (2.5862) Prec@1 43.125 (37.018) Prec@5 71.875 (67.948) Epoch: [16][390/11272] Time 0.747 (0.812) Data 0.003 (0.006) Loss 2.4763 (2.5848) Prec@1 39.375 (37.081) Prec@5 71.250 (67.960) Epoch: [16][400/11272] Time 0.751 (0.812) Data 0.001 (0.006) Loss 2.5270 (2.5830) Prec@1 37.500 (37.092) Prec@5 70.000 (67.980) Epoch: [16][410/11272] Time 0.836 (0.812) Data 0.001 (0.006) Loss 2.7078 (2.5856) Prec@1 35.625 (37.038) Prec@5 64.375 (67.926) Epoch: [16][420/11272] Time 0.829 (0.812) Data 0.002 (0.006) Loss 2.5904 (2.5850) Prec@1 38.125 (37.035) Prec@5 68.125 (67.919) Epoch: [16][430/11272] Time 0.725 (0.812) Data 0.002 (0.006) Loss 2.7558 (2.5856) Prec@1 29.375 (37.027) Prec@5 65.625 (67.923) Epoch: [16][440/11272] Time 0.733 (0.812) Data 0.001 (0.006) Loss 2.4283 (2.5874) Prec@1 38.125 (36.973) Prec@5 70.000 (67.901) Epoch: [16][450/11272] Time 0.862 (0.812) Data 0.002 (0.006) Loss 2.4252 (2.5881) Prec@1 42.500 (36.975) Prec@5 71.875 (67.895) Epoch: [16][460/11272] Time 0.841 (0.812) Data 0.002 (0.006) Loss 2.6765 (2.5873) Prec@1 40.625 (37.015) Prec@5 64.375 (67.899) Epoch: [16][470/11272] Time 0.742 (0.812) Data 0.002 (0.006) Loss 2.4476 (2.5868) Prec@1 39.375 (37.029) Prec@5 68.750 (67.906) Epoch: [16][480/11272] Time 0.762 (0.811) Data 0.002 (0.006) Loss 2.7227 (2.5884) Prec@1 33.750 (37.028) Prec@5 65.000 (67.866) Epoch: [16][490/11272] Time 0.846 (0.811) Data 0.001 (0.005) Loss 2.3555 (2.5883) Prec@1 44.375 (37.043) Prec@5 72.500 (67.878) Epoch: [16][500/11272] Time 0.857 (0.811) Data 0.002 (0.005) Loss 2.4153 (2.5877) Prec@1 40.000 (37.005) Prec@5 71.875 (67.863) Epoch: [16][510/11272] Time 0.786 (0.811) Data 0.001 (0.005) Loss 2.4730 (2.5877) Prec@1 45.625 (37.019) Prec@5 69.375 (67.852) Epoch: [16][520/11272] Time 0.819 (0.811) Data 0.001 (0.005) Loss 2.7115 (2.5865) Prec@1 34.375 (37.029) Prec@5 66.875 (67.873) Epoch: [16][530/11272] Time 0.860 (0.811) Data 0.002 (0.005) Loss 2.6749 (2.5870) Prec@1 35.625 (37.021) Prec@5 63.125 (67.850) Epoch: [16][540/11272] Time 0.740 (0.811) Data 0.001 (0.005) Loss 2.4310 (2.5873) Prec@1 41.250 (37.016) Prec@5 71.875 (67.849) Epoch: [16][550/11272] Time 0.731 (0.811) Data 0.002 (0.005) Loss 2.6778 (2.5878) Prec@1 36.875 (37.025) Prec@5 71.250 (67.838) Epoch: [16][560/11272] Time 0.903 (0.811) Data 0.001 (0.005) Loss 2.4902 (2.5875) Prec@1 41.250 (37.059) Prec@5 70.000 (67.836) Epoch: [16][570/11272] Time 0.848 (0.811) Data 0.002 (0.005) Loss 2.8942 (2.5881) Prec@1 30.625 (37.044) Prec@5 61.250 (67.838) Epoch: [16][580/11272] Time 0.737 (0.810) Data 0.001 (0.005) Loss 2.8070 (2.5892) Prec@1 34.375 (37.039) Prec@5 62.500 (67.831) Epoch: [16][590/11272] Time 0.730 (0.810) Data 0.001 (0.005) Loss 2.7873 (2.5898) Prec@1 36.875 (37.039) Prec@5 62.500 (67.826) Epoch: [16][600/11272] Time 0.861 (0.811) Data 0.001 (0.005) Loss 2.5251 (2.5898) Prec@1 35.625 (36.998) Prec@5 71.250 (67.824) Epoch: [16][610/11272] Time 0.880 (0.810) Data 0.006 (0.005) Loss 2.4650 (2.5902) Prec@1 37.500 (36.994) Prec@5 70.000 (67.810) Epoch: [16][620/11272] Time 0.758 (0.811) Data 0.001 (0.005) Loss 2.5411 (2.5901) Prec@1 35.000 (36.989) Prec@5 68.750 (67.818) Epoch: [16][630/11272] Time 0.736 (0.810) Data 0.002 (0.005) Loss 2.7439 (2.5914) Prec@1 36.250 (36.970) Prec@5 63.125 (67.770) Epoch: [16][640/11272] Time 0.881 (0.811) Data 0.002 (0.005) Loss 2.8741 (2.5919) Prec@1 35.625 (36.971) Prec@5 60.000 (67.749) Epoch: [16][650/11272] Time 0.767 (0.810) Data 0.004 (0.005) Loss 2.7605 (2.5910) Prec@1 36.250 (36.974) Prec@5 60.625 (67.763) Epoch: [16][660/11272] Time 0.732 (0.811) Data 0.001 (0.004) Loss 2.3954 (2.5923) Prec@1 38.750 (36.958) Prec@5 70.625 (67.729) Epoch: [16][670/11272] Time 0.925 (0.810) Data 0.002 (0.004) Loss 2.6077 (2.5908) Prec@1 36.875 (36.983) Prec@5 66.250 (67.750) Epoch: [16][680/11272] Time 0.862 (0.810) Data 0.002 (0.004) Loss 2.3627 (2.5901) Prec@1 38.750 (36.991) Prec@5 73.750 (67.776) Epoch: [16][690/11272] Time 0.741 (0.810) Data 0.001 (0.004) Loss 2.5483 (2.5898) Prec@1 36.250 (36.980) Prec@5 68.750 (67.782) Epoch: [16][700/11272] Time 0.727 (0.810) Data 0.001 (0.004) Loss 2.5485 (2.5901) Prec@1 38.750 (36.978) Prec@5 68.750 (67.774) Epoch: [16][710/11272] Time 0.840 (0.810) Data 0.002 (0.004) Loss 2.5623 (2.5901) Prec@1 34.375 (36.973) Prec@5 65.000 (67.761) Epoch: [16][720/11272] Time 0.846 (0.810) Data 0.001 (0.004) Loss 2.6559 (2.5914) Prec@1 33.750 (36.941) Prec@5 65.625 (67.740) Epoch: [16][730/11272] Time 0.739 (0.810) Data 0.001 (0.004) Loss 2.5151 (2.5914) Prec@1 36.250 (36.946) Prec@5 69.375 (67.724) Epoch: [16][740/11272] Time 0.724 (0.810) Data 0.001 (0.004) Loss 2.7240 (2.5916) Prec@1 36.250 (36.961) Prec@5 61.250 (67.718) Epoch: [16][750/11272] Time 0.804 (0.810) Data 0.001 (0.004) Loss 2.4139 (2.5916) Prec@1 38.750 (36.968) Prec@5 73.125 (67.715) Epoch: [16][760/11272] Time 0.856 (0.810) Data 0.002 (0.004) Loss 2.1362 (2.5915) Prec@1 46.250 (36.990) Prec@5 75.000 (67.723) Epoch: [16][770/11272] Time 0.719 (0.810) Data 0.001 (0.004) Loss 2.7136 (2.5913) Prec@1 36.875 (37.018) Prec@5 70.000 (67.737) Epoch: [16][780/11272] Time 0.845 (0.810) Data 0.001 (0.004) Loss 2.5754 (2.5913) Prec@1 33.750 (37.021) Prec@5 68.750 (67.736) Epoch: [16][790/11272] Time 0.842 (0.810) Data 0.001 (0.004) Loss 2.8903 (2.5918) Prec@1 30.000 (37.000) Prec@5 59.375 (67.733) Epoch: [16][800/11272] Time 0.744 (0.810) Data 0.002 (0.004) Loss 2.7064 (2.5928) Prec@1 35.625 (36.980) Prec@5 66.875 (67.718) Epoch: [16][810/11272] Time 0.740 (0.810) Data 0.002 (0.004) Loss 2.1516 (2.5925) Prec@1 46.250 (36.991) Prec@5 78.750 (67.723) Epoch: [16][820/11272] Time 0.866 (0.810) Data 0.002 (0.004) Loss 2.4741 (2.5920) Prec@1 36.875 (36.984) Prec@5 68.125 (67.731) Epoch: [16][830/11272] Time 0.854 (0.810) Data 0.001 (0.004) Loss 2.6400 (2.5914) Prec@1 31.250 (36.978) Prec@5 66.875 (67.738) Epoch: [16][840/11272] Time 0.738 (0.810) Data 0.002 (0.004) Loss 2.7000 (2.5919) Prec@1 36.250 (36.979) Prec@5 69.375 (67.735) Epoch: [16][850/11272] Time 0.729 (0.809) Data 0.002 (0.004) Loss 2.9050 (2.5922) Prec@1 33.125 (36.976) Prec@5 61.875 (67.721) Epoch: [16][860/11272] Time 0.885 (0.809) Data 0.002 (0.004) Loss 2.7404 (2.5929) Prec@1 36.875 (36.955) Prec@5 66.250 (67.712) Epoch: [16][870/11272] Time 0.914 (0.809) Data 0.003 (0.004) Loss 2.5078 (2.5919) Prec@1 41.250 (36.975) Prec@5 73.125 (67.741) Epoch: [16][880/11272] Time 0.742 (0.809) Data 0.002 (0.004) Loss 2.3326 (2.5919) Prec@1 43.750 (36.968) Prec@5 74.375 (67.730) Epoch: [16][890/11272] Time 0.785 (0.809) Data 0.001 (0.004) Loss 2.5587 (2.5932) Prec@1 41.875 (36.962) Prec@5 68.125 (67.696) Epoch: [16][900/11272] Time 0.854 (0.809) Data 0.002 (0.004) Loss 2.6835 (2.5930) Prec@1 38.750 (36.974) Prec@5 68.125 (67.690) Epoch: [16][910/11272] Time 0.853 (0.809) Data 0.001 (0.004) Loss 2.5829 (2.5931) Prec@1 34.375 (36.975) Prec@5 65.000 (67.696) Epoch: [16][920/11272] Time 0.740 (0.809) Data 0.001 (0.004) Loss 2.4291 (2.5931) Prec@1 38.750 (36.983) Prec@5 72.500 (67.694) Epoch: [16][930/11272] Time 0.915 (0.809) Data 0.002 (0.004) Loss 2.5366 (2.5934) Prec@1 38.125 (36.988) Prec@5 68.125 (67.681) Epoch: [16][940/11272] Time 0.853 (0.809) Data 0.002 (0.004) Loss 2.3143 (2.5937) Prec@1 41.250 (36.981) Prec@5 73.125 (67.678) Epoch: [16][950/11272] Time 0.746 (0.809) Data 0.002 (0.004) Loss 2.4528 (2.5944) Prec@1 46.250 (36.982) Prec@5 69.375 (67.660) Epoch: [16][960/11272] Time 0.755 (0.809) Data 0.001 (0.004) Loss 2.7343 (2.5941) Prec@1 33.125 (36.997) Prec@5 60.000 (67.651) Epoch: [16][970/11272] Time 0.848 (0.809) Data 0.001 (0.004) Loss 2.4985 (2.5947) Prec@1 39.375 (36.994) Prec@5 65.000 (67.633) Epoch: [16][980/11272] Time 0.884 (0.809) Data 0.002 (0.004) Loss 2.4686 (2.5951) Prec@1 40.625 (36.971) Prec@5 68.750 (67.629) Epoch: [16][990/11272] Time 0.765 (0.809) Data 0.002 (0.004) Loss 2.4695 (2.5953) Prec@1 43.125 (36.977) Prec@5 71.250 (67.620) Epoch: [16][1000/11272] Time 0.713 (0.809) Data 0.002 (0.003) Loss 2.6074 (2.5955) Prec@1 40.625 (36.987) Prec@5 64.375 (67.611) Epoch: [16][1010/11272] Time 0.849 (0.809) Data 0.001 (0.003) Loss 2.4641 (2.5951) Prec@1 34.375 (36.996) Prec@5 70.625 (67.622) Epoch: [16][1020/11272] Time 0.844 (0.809) Data 0.001 (0.003) Loss 2.6574 (2.5962) Prec@1 36.875 (36.989) Prec@5 65.000 (67.607) Epoch: [16][1030/11272] Time 0.729 (0.809) Data 0.001 (0.003) Loss 2.6053 (2.5967) Prec@1 38.750 (36.985) Prec@5 64.375 (67.592) Epoch: [16][1040/11272] Time 0.732 (0.809) Data 0.001 (0.003) Loss 2.6867 (2.5977) Prec@1 38.125 (36.966) Prec@5 66.250 (67.578) Epoch: [16][1050/11272] Time 0.843 (0.809) Data 0.001 (0.003) Loss 2.8650 (2.5986) Prec@1 33.125 (36.948) Prec@5 62.500 (67.559) Epoch: [16][1060/11272] Time 0.722 (0.809) Data 0.001 (0.003) Loss 2.7242 (2.5992) Prec@1 30.625 (36.939) Prec@5 65.625 (67.551) Epoch: [16][1070/11272] Time 0.737 (0.809) Data 0.001 (0.003) Loss 2.3789 (2.5992) Prec@1 40.000 (36.931) Prec@5 71.875 (67.547) Epoch: [16][1080/11272] Time 0.866 (0.809) Data 0.002 (0.003) Loss 2.5100 (2.5991) Prec@1 38.125 (36.934) Prec@5 70.625 (67.541) Epoch: [16][1090/11272] Time 0.852 (0.809) Data 0.001 (0.003) Loss 2.5547 (2.5994) Prec@1 39.375 (36.921) Prec@5 70.625 (67.546) Epoch: [16][1100/11272] Time 0.723 (0.809) Data 0.001 (0.003) Loss 2.5868 (2.5990) Prec@1 34.375 (36.935) Prec@5 65.000 (67.548) Epoch: [16][1110/11272] Time 0.740 (0.809) Data 0.001 (0.003) Loss 2.6518 (2.5991) Prec@1 38.750 (36.937) Prec@5 63.125 (67.545) Epoch: [16][1120/11272] Time 0.852 (0.809) Data 0.001 (0.003) Loss 2.5223 (2.5987) Prec@1 45.625 (36.958) Prec@5 69.375 (67.548) Epoch: [16][1130/11272] Time 0.861 (0.809) Data 0.002 (0.003) Loss 2.5317 (2.5981) Prec@1 36.875 (36.978) Prec@5 66.875 (67.561) Epoch: [16][1140/11272] Time 0.733 (0.809) Data 0.001 (0.003) Loss 2.6811 (2.5977) Prec@1 35.625 (36.973) Prec@5 63.750 (67.574) Epoch: [16][1150/11272] Time 0.731 (0.809) Data 0.001 (0.003) Loss 2.6339 (2.5972) Prec@1 31.875 (36.983) Prec@5 68.125 (67.585) Epoch: [16][1160/11272] Time 0.871 (0.809) Data 0.002 (0.003) Loss 2.9808 (2.5976) Prec@1 31.250 (36.993) Prec@5 61.875 (67.575) Epoch: [16][1170/11272] Time 0.854 (0.809) Data 0.002 (0.003) Loss 2.5697 (2.5975) Prec@1 36.875 (36.992) Prec@5 69.375 (67.579) Epoch: [16][1180/11272] Time 0.751 (0.809) Data 0.001 (0.003) Loss 2.7410 (2.5974) Prec@1 31.875 (36.983) Prec@5 65.000 (67.583) Epoch: [16][1190/11272] Time 0.851 (0.809) Data 0.002 (0.003) Loss 2.8223 (2.5979) Prec@1 34.375 (36.980) Prec@5 62.500 (67.573) Epoch: [16][1200/11272] Time 0.898 (0.809) Data 0.002 (0.003) Loss 2.3069 (2.5978) Prec@1 41.250 (36.978) Prec@5 71.250 (67.569) Epoch: [16][1210/11272] Time 0.729 (0.809) Data 0.001 (0.003) Loss 2.8940 (2.5975) Prec@1 32.500 (36.979) Prec@5 61.875 (67.585) Epoch: [16][1220/11272] Time 0.738 (0.809) Data 0.002 (0.003) Loss 2.5891 (2.5980) Prec@1 37.500 (36.971) Prec@5 68.125 (67.573) Epoch: [16][1230/11272] Time 0.845 (0.809) Data 0.001 (0.003) Loss 2.4458 (2.5977) Prec@1 42.500 (36.983) Prec@5 69.375 (67.582) Epoch: [16][1240/11272] Time 0.880 (0.808) Data 0.002 (0.003) Loss 2.7661 (2.5976) Prec@1 32.500 (36.978) Prec@5 66.250 (67.583) Epoch: [16][1250/11272] Time 0.739 (0.808) Data 0.001 (0.003) Loss 2.5674 (2.5983) Prec@1 36.875 (36.965) Prec@5 71.875 (67.569) Epoch: [16][1260/11272] Time 0.732 (0.808) Data 0.001 (0.003) Loss 2.5405 (2.5981) Prec@1 40.000 (36.972) Prec@5 64.375 (67.584) Epoch: [16][1270/11272] Time 0.883 (0.808) Data 0.001 (0.003) Loss 2.5942 (2.5985) Prec@1 35.625 (36.972) Prec@5 70.000 (67.575) Epoch: [16][1280/11272] Time 0.904 (0.808) Data 0.002 (0.003) Loss 2.7897 (2.5992) Prec@1 34.375 (36.951) Prec@5 68.125 (67.561) Epoch: [16][1290/11272] Time 0.725 (0.808) Data 0.001 (0.003) Loss 2.4041 (2.5987) Prec@1 41.250 (36.967) Prec@5 72.500 (67.564) Epoch: [16][1300/11272] Time 0.735 (0.808) Data 0.001 (0.003) Loss 2.5833 (2.5984) Prec@1 35.000 (36.973) Prec@5 63.125 (67.561) Epoch: [16][1310/11272] Time 0.854 (0.808) Data 0.002 (0.003) Loss 2.5326 (2.5991) Prec@1 36.250 (36.968) Prec@5 70.625 (67.549) Epoch: [16][1320/11272] Time 0.731 (0.808) Data 0.003 (0.003) Loss 2.4420 (2.5982) Prec@1 38.125 (36.981) Prec@5 69.375 (67.566) Epoch: [16][1330/11272] Time 0.727 (0.808) Data 0.001 (0.003) Loss 2.3799 (2.5979) Prec@1 44.375 (36.995) Prec@5 70.625 (67.562) Epoch: [16][1340/11272] Time 0.849 (0.808) Data 0.001 (0.003) Loss 2.5509 (2.5972) Prec@1 36.250 (37.006) Prec@5 68.750 (67.571) Epoch: [16][1350/11272] Time 0.897 (0.808) Data 0.001 (0.003) Loss 2.8379 (2.5981) Prec@1 32.500 (36.988) Prec@5 58.750 (67.559) Epoch: [16][1360/11272] Time 0.727 (0.808) Data 0.001 (0.003) Loss 2.5179 (2.5986) Prec@1 41.250 (36.979) Prec@5 67.500 (67.536) Epoch: [16][1370/11272] Time 0.770 (0.808) Data 0.001 (0.003) Loss 2.5255 (2.5983) Prec@1 36.250 (36.996) Prec@5 72.500 (67.541) Epoch: [16][1380/11272] Time 0.884 (0.808) Data 0.003 (0.003) Loss 2.3125 (2.5977) Prec@1 45.000 (37.002) Prec@5 76.250 (67.557) Epoch: [16][1390/11272] Time 0.861 (0.808) Data 0.002 (0.003) Loss 2.3822 (2.5973) Prec@1 38.125 (37.012) Prec@5 74.375 (67.562) Epoch: [16][1400/11272] Time 0.733 (0.808) Data 0.001 (0.003) Loss 2.8488 (2.5971) Prec@1 35.625 (37.028) Prec@5 61.250 (67.566) Epoch: [16][1410/11272] Time 0.764 (0.808) Data 0.001 (0.003) Loss 2.5986 (2.5972) Prec@1 38.750 (37.022) Prec@5 70.000 (67.563) Epoch: [16][1420/11272] Time 0.939 (0.808) Data 0.002 (0.003) Loss 2.4524 (2.5965) Prec@1 38.750 (37.033) Prec@5 68.750 (67.577) Epoch: [16][1430/11272] Time 0.832 (0.808) Data 0.002 (0.003) Loss 2.5528 (2.5970) Prec@1 33.125 (37.021) Prec@5 68.750 (67.569) Epoch: [16][1440/11272] Time 0.743 (0.808) Data 0.002 (0.003) Loss 2.7466 (2.5969) Prec@1 36.250 (37.026) Prec@5 65.000 (67.581) Epoch: [16][1450/11272] Time 0.899 (0.808) Data 0.001 (0.003) Loss 2.6222 (2.5973) Prec@1 38.750 (37.023) Prec@5 67.500 (67.577) Epoch: [16][1460/11272] Time 0.878 (0.808) Data 0.001 (0.003) Loss 2.5140 (2.5976) Prec@1 40.000 (37.018) Prec@5 68.750 (67.578) Epoch: [16][1470/11272] Time 0.739 (0.808) Data 0.001 (0.003) Loss 2.4270 (2.5984) Prec@1 39.375 (37.004) Prec@5 71.875 (67.550) Epoch: [16][1480/11272] Time 0.735 (0.808) Data 0.001 (0.003) Loss 2.5439 (2.5987) Prec@1 36.250 (37.001) Prec@5 66.875 (67.547) Epoch: [16][1490/11272] Time 0.874 (0.808) Data 0.002 (0.003) Loss 2.7298 (2.5992) Prec@1 29.375 (36.995) Prec@5 68.125 (67.548) Epoch: [16][1500/11272] Time 0.922 (0.808) Data 0.002 (0.003) Loss 2.5173 (2.5988) Prec@1 34.375 (36.991) Prec@5 72.500 (67.560) Epoch: [16][1510/11272] Time 0.741 (0.808) Data 0.001 (0.003) Loss 2.6900 (2.5992) Prec@1 36.875 (36.990) Prec@5 61.250 (67.549) Epoch: [16][1520/11272] Time 0.758 (0.808) Data 0.001 (0.003) Loss 2.6979 (2.5995) Prec@1 33.750 (36.982) Prec@5 67.500 (67.548) Epoch: [16][1530/11272] Time 0.895 (0.808) Data 0.002 (0.003) Loss 2.3872 (2.5990) Prec@1 41.250 (36.993) Prec@5 67.500 (67.556) Epoch: [16][1540/11272] Time 0.854 (0.808) Data 0.002 (0.003) Loss 2.4019 (2.5990) Prec@1 40.625 (36.995) Prec@5 69.375 (67.551) Epoch: [16][1550/11272] Time 0.767 (0.808) Data 0.001 (0.003) Loss 2.7387 (2.5994) Prec@1 34.375 (36.991) Prec@5 64.375 (67.539) Epoch: [16][1560/11272] Time 0.729 (0.808) Data 0.001 (0.003) Loss 2.3697 (2.5990) Prec@1 41.875 (36.996) Prec@5 75.625 (67.542) Epoch: [16][1570/11272] Time 0.863 (0.808) Data 0.002 (0.003) Loss 2.5997 (2.5992) Prec@1 38.125 (36.984) Prec@5 64.375 (67.545) Epoch: [16][1580/11272] Time 0.732 (0.808) Data 0.003 (0.003) Loss 2.5941 (2.5991) Prec@1 37.500 (36.983) Prec@5 68.125 (67.551) Epoch: [16][1590/11272] Time 0.760 (0.808) Data 0.002 (0.003) Loss 2.5173 (2.5991) Prec@1 40.000 (36.979) Prec@5 65.625 (67.543) Epoch: [16][1600/11272] Time 0.851 (0.808) Data 0.002 (0.003) Loss 2.3291 (2.5989) Prec@1 38.125 (36.973) Prec@5 75.000 (67.561) Epoch: [16][1610/11272] Time 0.922 (0.808) Data 0.002 (0.003) Loss 2.8426 (2.5983) Prec@1 32.500 (36.984) Prec@5 61.250 (67.573) Epoch: [16][1620/11272] Time 0.796 (0.808) Data 0.002 (0.003) Loss 2.6336 (2.5988) Prec@1 38.125 (36.978) Prec@5 67.500 (67.559) Epoch: [16][1630/11272] Time 0.748 (0.808) Data 0.003 (0.003) Loss 2.6383 (2.5990) Prec@1 33.125 (36.977) Prec@5 70.000 (67.549) Epoch: [16][1640/11272] Time 0.902 (0.808) Data 0.001 (0.003) Loss 2.9138 (2.5995) Prec@1 35.625 (36.963) Prec@5 64.375 (67.537) Epoch: [16][1650/11272] Time 0.853 (0.808) Data 0.001 (0.003) Loss 2.7889 (2.5997) Prec@1 35.625 (36.960) Prec@5 60.000 (67.523) Epoch: [16][1660/11272] Time 0.738 (0.808) Data 0.001 (0.003) Loss 2.5784 (2.5996) Prec@1 38.750 (36.956) Prec@5 67.500 (67.531) Epoch: [16][1670/11272] Time 0.735 (0.808) Data 0.002 (0.003) Loss 2.5218 (2.5999) Prec@1 33.750 (36.941) Prec@5 67.500 (67.531) Epoch: [16][1680/11272] Time 0.839 (0.808) Data 0.001 (0.003) Loss 2.6242 (2.6003) Prec@1 33.750 (36.935) Prec@5 66.250 (67.529) Epoch: [16][1690/11272] Time 0.835 (0.808) Data 0.002 (0.003) Loss 2.8414 (2.6007) Prec@1 33.750 (36.932) Prec@5 63.750 (67.518) Epoch: [16][1700/11272] Time 0.758 (0.808) Data 0.001 (0.003) Loss 2.7515 (2.6011) Prec@1 36.875 (36.933) Prec@5 62.500 (67.514) Epoch: [16][1710/11272] Time 0.888 (0.808) Data 0.002 (0.003) Loss 2.6370 (2.6012) Prec@1 41.250 (36.924) Prec@5 69.375 (67.518) Epoch: [16][1720/11272] Time 0.864 (0.808) Data 0.002 (0.003) Loss 2.7394 (2.6010) Prec@1 34.375 (36.928) Prec@5 65.625 (67.521) Epoch: [16][1730/11272] Time 0.729 (0.808) Data 0.001 (0.003) Loss 2.4382 (2.6009) Prec@1 38.125 (36.933) Prec@5 70.000 (67.523) Epoch: [16][1740/11272] Time 0.719 (0.808) Data 0.001 (0.003) Loss 2.6154 (2.6010) Prec@1 35.625 (36.931) Prec@5 66.250 (67.522) Epoch: [16][1750/11272] Time 0.883 (0.808) Data 0.001 (0.003) Loss 2.6811 (2.6011) Prec@1 33.750 (36.928) Prec@5 68.750 (67.524) Epoch: [16][1760/11272] Time 0.888 (0.808) Data 0.002 (0.003) Loss 2.4630 (2.6009) Prec@1 35.625 (36.930) Prec@5 67.500 (67.527) Epoch: [16][1770/11272] Time 0.748 (0.808) Data 0.001 (0.003) Loss 2.5893 (2.6010) Prec@1 38.750 (36.925) Prec@5 64.375 (67.532) Epoch: [16][1780/11272] Time 0.745 (0.808) Data 0.001 (0.003) Loss 2.5571 (2.6011) Prec@1 36.875 (36.924) Prec@5 69.375 (67.532) Epoch: [16][1790/11272] Time 0.848 (0.808) Data 0.001 (0.003) Loss 2.3825 (2.6012) Prec@1 38.750 (36.923) Prec@5 74.375 (67.527) Epoch: [16][1800/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 2.6145 (2.6010) Prec@1 31.875 (36.923) Prec@5 66.250 (67.526) Epoch: [16][1810/11272] Time 0.733 (0.808) Data 0.001 (0.003) Loss 2.7021 (2.6013) Prec@1 33.750 (36.917) Prec@5 68.750 (67.527) Epoch: [16][1820/11272] Time 0.777 (0.808) Data 0.002 (0.003) Loss 2.5202 (2.6014) Prec@1 38.125 (36.914) Prec@5 68.125 (67.523) Epoch: [16][1830/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 2.5501 (2.6014) Prec@1 38.125 (36.910) Prec@5 69.375 (67.524) Epoch: [16][1840/11272] Time 0.857 (0.808) Data 0.002 (0.003) Loss 2.5707 (2.6014) Prec@1 38.750 (36.911) Prec@5 68.125 (67.534) Epoch: [16][1850/11272] Time 0.725 (0.808) Data 0.001 (0.003) Loss 2.4826 (2.6013) Prec@1 41.875 (36.922) Prec@5 71.875 (67.540) Epoch: [16][1860/11272] Time 0.868 (0.808) Data 0.002 (0.003) Loss 2.3041 (2.6007) Prec@1 40.000 (36.936) Prec@5 76.250 (67.554) Epoch: [16][1870/11272] Time 0.892 (0.808) Data 0.001 (0.003) Loss 2.5106 (2.6009) Prec@1 38.750 (36.927) Prec@5 71.875 (67.554) Epoch: [16][1880/11272] Time 0.705 (0.808) Data 0.001 (0.003) Loss 2.5215 (2.6005) Prec@1 37.500 (36.934) Prec@5 71.875 (67.564) Epoch: [16][1890/11272] Time 0.757 (0.808) Data 0.002 (0.003) Loss 2.9579 (2.6010) Prec@1 30.625 (36.922) Prec@5 57.500 (67.556) Epoch: [16][1900/11272] Time 0.847 (0.808) Data 0.002 (0.003) Loss 2.8310 (2.6011) Prec@1 32.500 (36.917) Prec@5 66.875 (67.555) Epoch: [16][1910/11272] Time 0.892 (0.808) Data 0.002 (0.003) Loss 2.2127 (2.6007) Prec@1 46.250 (36.924) Prec@5 76.250 (67.567) Epoch: [16][1920/11272] Time 0.746 (0.808) Data 0.001 (0.003) Loss 2.8259 (2.6012) Prec@1 34.375 (36.920) Prec@5 63.125 (67.553) Epoch: [16][1930/11272] Time 0.748 (0.808) Data 0.001 (0.003) Loss 2.6006 (2.6016) Prec@1 41.250 (36.922) Prec@5 66.250 (67.542) Epoch: [16][1940/11272] Time 0.863 (0.808) Data 0.002 (0.003) Loss 2.8268 (2.6018) Prec@1 33.750 (36.918) Prec@5 63.125 (67.540) Epoch: [16][1950/11272] Time 0.857 (0.808) Data 0.002 (0.003) Loss 2.2736 (2.6015) Prec@1 45.000 (36.931) Prec@5 70.625 (67.539) Epoch: [16][1960/11272] Time 0.769 (0.808) Data 0.002 (0.003) Loss 2.4287 (2.6016) Prec@1 40.000 (36.928) Prec@5 70.625 (67.536) Epoch: [16][1970/11272] Time 0.725 (0.808) Data 0.001 (0.003) Loss 2.5189 (2.6012) Prec@1 42.500 (36.939) Prec@5 71.875 (67.545) Epoch: [16][1980/11272] Time 0.902 (0.808) Data 0.002 (0.003) Loss 2.6776 (2.6011) Prec@1 38.750 (36.939) Prec@5 66.875 (67.548) Epoch: [16][1990/11272] Time 0.728 (0.808) Data 0.002 (0.003) Loss 2.5997 (2.6011) Prec@1 37.500 (36.938) Prec@5 70.000 (67.551) Epoch: [16][2000/11272] Time 0.727 (0.808) Data 0.001 (0.003) Loss 2.7143 (2.6009) Prec@1 31.250 (36.944) Prec@5 58.750 (67.553) Epoch: [16][2010/11272] Time 0.854 (0.808) Data 0.001 (0.003) Loss 2.6111 (2.6010) Prec@1 40.000 (36.946) Prec@5 65.625 (67.553) Epoch: [16][2020/11272] Time 0.899 (0.808) Data 0.002 (0.003) Loss 2.4209 (2.6011) Prec@1 41.875 (36.948) Prec@5 72.500 (67.551) Epoch: [16][2030/11272] Time 0.725 (0.808) Data 0.001 (0.003) Loss 2.5654 (2.6013) Prec@1 38.125 (36.939) Prec@5 65.000 (67.539) Epoch: [16][2040/11272] Time 0.733 (0.807) Data 0.001 (0.003) Loss 2.7489 (2.6013) Prec@1 32.500 (36.942) Prec@5 64.375 (67.536) Epoch: [16][2050/11272] Time 0.907 (0.808) Data 0.002 (0.003) Loss 2.7846 (2.6014) Prec@1 33.750 (36.941) Prec@5 62.500 (67.534) Epoch: [16][2060/11272] Time 0.862 (0.808) Data 0.002 (0.003) Loss 2.5160 (2.6014) Prec@1 39.375 (36.944) Prec@5 68.125 (67.531) Epoch: [16][2070/11272] Time 0.732 (0.808) Data 0.002 (0.003) Loss 2.6326 (2.6015) Prec@1 38.125 (36.949) Prec@5 71.250 (67.529) Epoch: [16][2080/11272] Time 0.731 (0.808) Data 0.001 (0.003) Loss 2.9196 (2.6016) Prec@1 26.875 (36.947) Prec@5 62.500 (67.524) Epoch: [16][2090/11272] Time 0.826 (0.808) Data 0.001 (0.003) Loss 2.5760 (2.6016) Prec@1 38.125 (36.947) Prec@5 66.250 (67.525) Epoch: [16][2100/11272] Time 0.803 (0.808) Data 0.001 (0.003) Loss 2.6449 (2.6015) Prec@1 40.000 (36.953) Prec@5 65.000 (67.526) Epoch: [16][2110/11272] Time 0.747 (0.808) Data 0.001 (0.003) Loss 2.4028 (2.6018) Prec@1 41.250 (36.948) Prec@5 69.375 (67.519) Epoch: [16][2120/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 2.8117 (2.6016) Prec@1 37.500 (36.949) Prec@5 64.375 (67.522) Epoch: [16][2130/11272] Time 0.871 (0.808) Data 0.003 (0.002) Loss 2.5509 (2.6017) Prec@1 34.375 (36.934) Prec@5 72.500 (67.523) Epoch: [16][2140/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.5147 (2.6017) Prec@1 38.125 (36.934) Prec@5 70.625 (67.519) Epoch: [16][2150/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5455 (2.6020) Prec@1 40.000 (36.928) Prec@5 66.250 (67.515) Epoch: [16][2160/11272] Time 0.825 (0.807) Data 0.002 (0.002) Loss 2.6867 (2.6020) Prec@1 33.125 (36.935) Prec@5 70.000 (67.516) Epoch: [16][2170/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.4734 (2.6019) Prec@1 40.000 (36.939) Prec@5 71.250 (67.520) Epoch: [16][2180/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.8038 (2.6021) Prec@1 33.750 (36.938) Prec@5 62.500 (67.517) Epoch: [16][2190/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.5688 (2.6019) Prec@1 35.000 (36.945) Prec@5 69.375 (67.524) Epoch: [16][2200/11272] Time 0.865 (0.807) Data 0.001 (0.002) Loss 2.7614 (2.6013) Prec@1 35.625 (36.959) Prec@5 63.125 (67.540) Epoch: [16][2210/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.6956 (2.6015) Prec@1 31.875 (36.958) Prec@5 66.250 (67.538) Epoch: [16][2220/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.7755 (2.6016) Prec@1 31.250 (36.953) Prec@5 63.125 (67.543) Epoch: [16][2230/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6061 (2.6018) Prec@1 40.000 (36.950) Prec@5 70.625 (67.540) Epoch: [16][2240/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.4808 (2.6018) Prec@1 37.500 (36.949) Prec@5 68.125 (67.543) Epoch: [16][2250/11272] Time 0.765 (0.807) Data 0.003 (0.002) Loss 2.6363 (2.6020) Prec@1 36.250 (36.946) Prec@5 68.125 (67.537) Epoch: [16][2260/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.5233 (2.6020) Prec@1 38.125 (36.942) Prec@5 71.875 (67.535) Epoch: [16][2270/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.8529 (2.6020) Prec@1 32.500 (36.943) Prec@5 63.125 (67.535) Epoch: [16][2280/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.6352 (2.6021) Prec@1 35.625 (36.940) Prec@5 67.500 (67.532) Epoch: [16][2290/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.5255 (2.6019) Prec@1 40.625 (36.942) Prec@5 70.000 (67.540) Epoch: [16][2300/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4406 (2.6015) Prec@1 36.875 (36.954) Prec@5 73.125 (67.546) Epoch: [16][2310/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.4606 (2.6015) Prec@1 43.750 (36.955) Prec@5 68.125 (67.545) Epoch: [16][2320/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.8133 (2.6017) Prec@1 31.875 (36.951) Prec@5 62.500 (67.540) Epoch: [16][2330/11272] Time 0.773 (0.807) Data 0.002 (0.002) Loss 2.9857 (2.6020) Prec@1 33.750 (36.952) Prec@5 61.250 (67.536) Epoch: [16][2340/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.3958 (2.6018) Prec@1 38.750 (36.955) Prec@5 71.875 (67.542) Epoch: [16][2350/11272] Time 0.847 (0.807) Data 0.001 (0.002) Loss 2.3394 (2.6018) Prec@1 39.375 (36.963) Prec@5 75.625 (67.545) Epoch: [16][2360/11272] Time 0.945 (0.807) Data 0.001 (0.002) Loss 2.3661 (2.6017) Prec@1 43.750 (36.961) Prec@5 73.125 (67.547) Epoch: [16][2370/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.4396 (2.6017) Prec@1 39.375 (36.964) Prec@5 71.250 (67.545) Epoch: [16][2380/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.6950 (2.6017) Prec@1 33.125 (36.965) Prec@5 61.875 (67.538) Epoch: [16][2390/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.7329 (2.6019) Prec@1 35.625 (36.955) Prec@5 65.625 (67.533) Epoch: [16][2400/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.7557 (2.6017) Prec@1 34.375 (36.956) Prec@5 66.250 (67.536) Epoch: [16][2410/11272] Time 0.779 (0.807) Data 0.001 (0.002) Loss 2.3889 (2.6015) Prec@1 41.875 (36.957) Prec@5 68.750 (67.544) Epoch: [16][2420/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.8218 (2.6016) Prec@1 36.250 (36.960) Prec@5 61.250 (67.539) Epoch: [16][2430/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.5036 (2.6016) Prec@1 35.625 (36.959) Prec@5 69.375 (67.539) Epoch: [16][2440/11272] Time 0.773 (0.807) Data 0.002 (0.002) Loss 2.5358 (2.6015) Prec@1 38.750 (36.960) Prec@5 69.375 (67.539) Epoch: [16][2450/11272] Time 0.728 (0.807) Data 0.004 (0.002) Loss 2.4874 (2.6015) Prec@1 39.375 (36.959) Prec@5 70.625 (67.539) Epoch: [16][2460/11272] Time 0.900 (0.808) Data 0.002 (0.002) Loss 2.4176 (2.6013) Prec@1 43.750 (36.967) Prec@5 71.875 (67.546) Epoch: [16][2470/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.6349 (2.6010) Prec@1 38.125 (36.978) Prec@5 63.750 (67.551) Epoch: [16][2480/11272] Time 0.773 (0.808) Data 0.001 (0.002) Loss 2.3583 (2.6012) Prec@1 39.375 (36.978) Prec@5 71.875 (67.549) Epoch: [16][2490/11272] Time 0.772 (0.808) Data 0.001 (0.002) Loss 2.2764 (2.6009) Prec@1 46.250 (36.987) Prec@5 75.625 (67.554) Epoch: [16][2500/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.6054 (2.6010) Prec@1 38.125 (36.987) Prec@5 67.500 (67.551) Epoch: [16][2510/11272] Time 0.765 (0.808) Data 0.004 (0.002) Loss 2.5851 (2.6010) Prec@1 41.875 (36.991) Prec@5 66.250 (67.548) Epoch: [16][2520/11272] Time 0.762 (0.808) Data 0.001 (0.002) Loss 2.5780 (2.6010) Prec@1 37.500 (36.994) Prec@5 69.375 (67.548) Epoch: [16][2530/11272] Time 0.833 (0.808) Data 0.001 (0.002) Loss 2.6356 (2.6008) Prec@1 36.875 (37.003) Prec@5 65.000 (67.556) Epoch: [16][2540/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.5823 (2.6012) Prec@1 35.000 (37.002) Prec@5 69.375 (67.547) Epoch: [16][2550/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.4893 (2.6015) Prec@1 35.000 (36.994) Prec@5 70.000 (67.541) Epoch: [16][2560/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.5998 (2.6015) Prec@1 38.125 (36.999) Prec@5 68.125 (67.538) Epoch: [16][2570/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5696 (2.6017) Prec@1 37.500 (36.992) Prec@5 67.500 (67.528) Epoch: [16][2580/11272] Time 0.855 (0.808) Data 0.001 (0.002) Loss 2.6560 (2.6018) Prec@1 31.250 (36.986) Prec@5 68.750 (67.527) Epoch: [16][2590/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.5737 (2.6017) Prec@1 35.625 (36.990) Prec@5 68.125 (67.530) Epoch: [16][2600/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.7578 (2.6014) Prec@1 30.625 (36.991) Prec@5 65.625 (67.531) Epoch: [16][2610/11272] Time 0.905 (0.808) Data 0.002 (0.002) Loss 2.5589 (2.6014) Prec@1 40.625 (36.993) Prec@5 66.875 (67.533) Epoch: [16][2620/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.5243 (2.6015) Prec@1 39.375 (36.997) Prec@5 66.875 (67.532) Epoch: [16][2630/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.7516 (2.6015) Prec@1 30.625 (36.995) Prec@5 65.000 (67.535) Epoch: [16][2640/11272] Time 0.795 (0.808) Data 0.001 (0.002) Loss 2.6213 (2.6017) Prec@1 33.750 (36.992) Prec@5 63.125 (67.530) Epoch: [16][2650/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.5208 (2.6019) Prec@1 40.625 (36.990) Prec@5 65.000 (67.523) Epoch: [16][2660/11272] Time 0.714 (0.808) Data 0.001 (0.002) Loss 2.4024 (2.6017) Prec@1 38.750 (36.993) Prec@5 66.875 (67.520) Epoch: [16][2670/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.6457 (2.6019) Prec@1 35.000 (36.983) Prec@5 64.375 (67.518) Epoch: [16][2680/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.4987 (2.6019) Prec@1 40.625 (36.979) Prec@5 69.375 (67.520) Epoch: [16][2690/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.5575 (2.6018) Prec@1 36.250 (36.976) Prec@5 63.125 (67.522) Epoch: [16][2700/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.5218 (2.6019) Prec@1 40.000 (36.973) Prec@5 70.000 (67.513) Epoch: [16][2710/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.6457 (2.6021) Prec@1 40.000 (36.972) Prec@5 66.250 (67.512) Epoch: [16][2720/11272] Time 0.851 (0.808) Data 0.001 (0.002) Loss 2.7561 (2.6020) Prec@1 32.500 (36.969) Prec@5 61.250 (67.513) Epoch: [16][2730/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.5674 (2.6019) Prec@1 36.875 (36.962) Prec@5 67.500 (67.516) Epoch: [16][2740/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.4727 (2.6018) Prec@1 41.250 (36.966) Prec@5 68.125 (67.516) Epoch: [16][2750/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.4641 (2.6018) Prec@1 38.750 (36.965) Prec@5 75.625 (67.521) Epoch: [16][2760/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.8932 (2.6017) Prec@1 29.375 (36.968) Prec@5 60.625 (67.520) Epoch: [16][2770/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.9263 (2.6019) Prec@1 33.125 (36.965) Prec@5 60.000 (67.515) Epoch: [16][2780/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.6047 (2.6019) Prec@1 36.250 (36.968) Prec@5 62.500 (67.512) Epoch: [16][2790/11272] Time 0.837 (0.808) Data 0.001 (0.002) Loss 2.7279 (2.6020) Prec@1 35.000 (36.969) Prec@5 64.375 (67.510) Epoch: [16][2800/11272] Time 0.893 (0.808) Data 0.002 (0.002) Loss 2.7416 (2.6018) Prec@1 31.250 (36.976) Prec@5 65.000 (67.509) Epoch: [16][2810/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.5275 (2.6020) Prec@1 36.875 (36.971) Prec@5 71.875 (67.504) Epoch: [16][2820/11272] Time 0.773 (0.808) Data 0.001 (0.002) Loss 2.5883 (2.6017) Prec@1 40.000 (36.974) Prec@5 69.375 (67.512) Epoch: [16][2830/11272] Time 0.859 (0.808) Data 0.001 (0.002) Loss 2.6747 (2.6021) Prec@1 31.250 (36.963) Prec@5 66.250 (67.507) Epoch: [16][2840/11272] Time 0.861 (0.808) Data 0.001 (0.002) Loss 2.6158 (2.6020) Prec@1 37.500 (36.964) Prec@5 66.250 (67.509) Epoch: [16][2850/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.3937 (2.6020) Prec@1 38.125 (36.967) Prec@5 70.625 (67.511) Epoch: [16][2860/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.8427 (2.6023) Prec@1 29.375 (36.958) Prec@5 60.625 (67.506) Epoch: [16][2870/11272] Time 0.849 (0.808) Data 0.001 (0.002) Loss 2.6243 (2.6023) Prec@1 34.375 (36.953) Prec@5 68.750 (67.505) Epoch: [16][2880/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.4961 (2.6022) Prec@1 32.500 (36.954) Prec@5 70.000 (67.511) Epoch: [16][2890/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.3869 (2.6023) Prec@1 41.250 (36.952) Prec@5 73.750 (67.511) Epoch: [16][2900/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.4116 (2.6023) Prec@1 38.750 (36.954) Prec@5 74.375 (67.512) Epoch: [16][2910/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 2.5203 (2.6024) Prec@1 36.250 (36.951) Prec@5 69.375 (67.512) Epoch: [16][2920/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.8093 (2.6026) Prec@1 34.375 (36.949) Prec@5 61.250 (67.507) Epoch: [16][2930/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.6893 (2.6024) Prec@1 36.250 (36.951) Prec@5 66.875 (67.512) Epoch: [16][2940/11272] Time 0.916 (0.808) Data 0.002 (0.002) Loss 2.4035 (2.6024) Prec@1 39.375 (36.952) Prec@5 71.250 (67.511) Epoch: [16][2950/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.7260 (2.6027) Prec@1 33.750 (36.947) Prec@5 63.750 (67.506) Epoch: [16][2960/11272] Time 0.712 (0.808) Data 0.001 (0.002) Loss 2.5765 (2.6026) Prec@1 35.000 (36.949) Prec@5 67.500 (67.500) Epoch: [16][2970/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.4398 (2.6025) Prec@1 41.875 (36.951) Prec@5 71.250 (67.503) Epoch: [16][2980/11272] Time 0.904 (0.808) Data 0.002 (0.002) Loss 2.9126 (2.6024) Prec@1 28.750 (36.949) Prec@5 65.000 (67.505) Epoch: [16][2990/11272] Time 0.857 (0.808) Data 0.003 (0.002) Loss 2.3927 (2.6026) Prec@1 36.875 (36.943) Prec@5 72.500 (67.503) Epoch: [16][3000/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6809 (2.6025) Prec@1 35.625 (36.942) Prec@5 66.250 (67.505) Epoch: [16][3010/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.7948 (2.6028) Prec@1 35.000 (36.938) Prec@5 62.500 (67.498) Epoch: [16][3020/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 2.4250 (2.6028) Prec@1 37.500 (36.933) Prec@5 69.375 (67.493) Epoch: [16][3030/11272] Time 0.879 (0.808) Data 0.001 (0.002) Loss 2.4757 (2.6028) Prec@1 40.000 (36.929) Prec@5 67.500 (67.490) Epoch: [16][3040/11272] Time 0.767 (0.808) Data 0.001 (0.002) Loss 2.8302 (2.6027) Prec@1 28.750 (36.927) Prec@5 63.750 (67.497) Epoch: [16][3050/11272] Time 0.891 (0.808) Data 0.001 (0.002) Loss 2.7341 (2.6027) Prec@1 33.750 (36.927) Prec@5 65.625 (67.499) Epoch: [16][3060/11272] Time 0.851 (0.808) Data 0.001 (0.002) Loss 2.5557 (2.6027) Prec@1 36.250 (36.934) Prec@5 64.375 (67.498) Epoch: [16][3070/11272] Time 0.712 (0.808) Data 0.001 (0.002) Loss 2.7723 (2.6027) Prec@1 30.625 (36.934) Prec@5 67.500 (67.501) Epoch: [16][3080/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.4851 (2.6026) Prec@1 35.000 (36.927) Prec@5 71.250 (67.500) Epoch: [16][3090/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.5809 (2.6029) Prec@1 33.125 (36.925) Prec@5 68.125 (67.496) Epoch: [16][3100/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 2.7243 (2.6029) Prec@1 31.875 (36.929) Prec@5 65.625 (67.500) Epoch: [16][3110/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.6187 (2.6028) Prec@1 32.500 (36.928) Prec@5 63.125 (67.500) Epoch: [16][3120/11272] Time 0.783 (0.808) Data 0.002 (0.002) Loss 2.7999 (2.6031) Prec@1 28.750 (36.916) Prec@5 66.250 (67.500) Epoch: [16][3130/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.6796 (2.6032) Prec@1 30.625 (36.910) Prec@5 66.250 (67.497) Epoch: [16][3140/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.5086 (2.6031) Prec@1 39.375 (36.916) Prec@5 70.000 (67.502) Epoch: [16][3150/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.5824 (2.6033) Prec@1 42.500 (36.910) Prec@5 69.375 (67.500) Epoch: [16][3160/11272] Time 0.792 (0.808) Data 0.001 (0.002) Loss 2.6649 (2.6032) Prec@1 31.875 (36.914) Prec@5 65.625 (67.502) Epoch: [16][3170/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.7638 (2.6032) Prec@1 33.125 (36.913) Prec@5 64.375 (67.502) Epoch: [16][3180/11272] Time 0.716 (0.808) Data 0.002 (0.002) Loss 2.6925 (2.6036) Prec@1 39.375 (36.908) Prec@5 61.250 (67.493) Epoch: [16][3190/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.6628 (2.6036) Prec@1 30.625 (36.906) Prec@5 66.250 (67.493) Epoch: [16][3200/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.4800 (2.6036) Prec@1 41.250 (36.904) Prec@5 68.125 (67.490) Epoch: [16][3210/11272] Time 0.828 (0.808) Data 0.001 (0.002) Loss 2.6638 (2.6034) Prec@1 38.750 (36.905) Prec@5 66.250 (67.491) Epoch: [16][3220/11272] Time 0.762 (0.808) Data 0.001 (0.002) Loss 2.8034 (2.6036) Prec@1 32.500 (36.902) Prec@5 63.750 (67.493) Epoch: [16][3230/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.5770 (2.6033) Prec@1 36.250 (36.907) Prec@5 71.875 (67.503) Epoch: [16][3240/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.3342 (2.6034) Prec@1 42.500 (36.905) Prec@5 68.750 (67.501) Epoch: [16][3250/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.4560 (2.6032) Prec@1 38.125 (36.905) Prec@5 73.750 (67.505) Epoch: [16][3260/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7050 (2.6031) Prec@1 39.375 (36.907) Prec@5 66.875 (67.504) Epoch: [16][3270/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.3471 (2.6032) Prec@1 38.750 (36.906) Prec@5 74.375 (67.501) Epoch: [16][3280/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.4037 (2.6032) Prec@1 41.250 (36.905) Prec@5 71.875 (67.502) Epoch: [16][3290/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7737 (2.6032) Prec@1 33.750 (36.908) Prec@5 68.125 (67.502) Epoch: [16][3300/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.7045 (2.6034) Prec@1 33.750 (36.901) Prec@5 63.750 (67.498) Epoch: [16][3310/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.5110 (2.6034) Prec@1 37.500 (36.901) Prec@5 68.125 (67.494) Epoch: [16][3320/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.9012 (2.6035) Prec@1 31.875 (36.900) Prec@5 63.125 (67.494) Epoch: [16][3330/11272] Time 0.749 (0.808) Data 0.001 (0.002) Loss 2.6270 (2.6033) Prec@1 38.125 (36.905) Prec@5 65.625 (67.500) Epoch: [16][3340/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.3601 (2.6033) Prec@1 45.000 (36.905) Prec@5 71.250 (67.504) Epoch: [16][3350/11272] Time 0.922 (0.808) Data 0.002 (0.002) Loss 2.4934 (2.6032) Prec@1 38.750 (36.906) Prec@5 69.375 (67.507) Epoch: [16][3360/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.7135 (2.6033) Prec@1 36.250 (36.907) Prec@5 69.375 (67.505) Epoch: [16][3370/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.4401 (2.6031) Prec@1 40.000 (36.915) Prec@5 73.125 (67.513) Epoch: [16][3380/11272] Time 0.773 (0.808) Data 0.002 (0.002) Loss 2.9756 (2.6033) Prec@1 30.625 (36.913) Prec@5 61.875 (67.511) Epoch: [16][3390/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.7789 (2.6033) Prec@1 41.250 (36.911) Prec@5 65.000 (67.513) Epoch: [16][3400/11272] Time 0.856 (0.808) Data 0.001 (0.002) Loss 2.8892 (2.6034) Prec@1 29.375 (36.909) Prec@5 63.125 (67.512) Epoch: [16][3410/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.4752 (2.6034) Prec@1 35.625 (36.903) Prec@5 69.375 (67.514) Epoch: [16][3420/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.8289 (2.6034) Prec@1 33.750 (36.901) Prec@5 61.250 (67.515) Epoch: [16][3430/11272] Time 0.843 (0.808) Data 0.002 (0.002) Loss 2.5704 (2.6037) Prec@1 33.125 (36.892) Prec@5 68.125 (67.509) Epoch: [16][3440/11272] Time 0.761 (0.808) Data 0.004 (0.002) Loss 2.8170 (2.6038) Prec@1 31.875 (36.890) Prec@5 63.125 (67.511) Epoch: [16][3450/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.2719 (2.6037) Prec@1 44.375 (36.892) Prec@5 74.375 (67.513) Epoch: [16][3460/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.6023 (2.6037) Prec@1 38.750 (36.893) Prec@5 66.875 (67.510) Epoch: [16][3470/11272] Time 0.901 (0.808) Data 0.002 (0.002) Loss 2.5834 (2.6037) Prec@1 37.500 (36.895) Prec@5 69.375 (67.509) Epoch: [16][3480/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5025 (2.6039) Prec@1 30.625 (36.888) Prec@5 68.125 (67.506) Epoch: [16][3490/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5460 (2.6039) Prec@1 36.250 (36.886) Prec@5 68.750 (67.507) Epoch: [16][3500/11272] Time 0.931 (0.808) Data 0.002 (0.002) Loss 2.5177 (2.6039) Prec@1 36.875 (36.886) Prec@5 72.500 (67.508) Epoch: [16][3510/11272] Time 0.856 (0.808) Data 0.001 (0.002) Loss 2.3262 (2.6041) Prec@1 41.875 (36.884) Prec@5 71.250 (67.506) Epoch: [16][3520/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5592 (2.6041) Prec@1 39.375 (36.883) Prec@5 70.000 (67.511) Epoch: [16][3530/11272] Time 0.798 (0.808) Data 0.001 (0.002) Loss 2.4313 (2.6040) Prec@1 40.000 (36.881) Prec@5 72.500 (67.510) Epoch: [16][3540/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.6449 (2.6042) Prec@1 40.000 (36.880) Prec@5 65.000 (67.508) Epoch: [16][3550/11272] Time 0.823 (0.808) Data 0.001 (0.002) Loss 2.6053 (2.6042) Prec@1 36.250 (36.881) Prec@5 63.750 (67.504) Epoch: [16][3560/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.6020 (2.6040) Prec@1 36.875 (36.881) Prec@5 64.375 (67.506) Epoch: [16][3570/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.4220 (2.6040) Prec@1 41.875 (36.879) Prec@5 70.625 (67.503) Epoch: [16][3580/11272] Time 0.882 (0.808) Data 0.001 (0.002) Loss 2.5981 (2.6041) Prec@1 38.125 (36.876) Prec@5 70.000 (67.503) Epoch: [16][3590/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5937 (2.6040) Prec@1 44.375 (36.876) Prec@5 68.125 (67.510) Epoch: [16][3600/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5942 (2.6041) Prec@1 36.250 (36.872) Prec@5 68.750 (67.509) Epoch: [16][3610/11272] Time 0.826 (0.808) Data 0.001 (0.002) Loss 2.6727 (2.6041) Prec@1 33.750 (36.870) Prec@5 64.375 (67.504) Epoch: [16][3620/11272] Time 0.836 (0.808) Data 0.001 (0.002) Loss 2.5462 (2.6042) Prec@1 36.250 (36.870) Prec@5 67.500 (67.506) Epoch: [16][3630/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.3938 (2.6042) Prec@1 41.250 (36.872) Prec@5 73.125 (67.505) Epoch: [16][3640/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.4877 (2.6043) Prec@1 38.750 (36.871) Prec@5 66.250 (67.502) Epoch: [16][3650/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 2.3403 (2.6044) Prec@1 40.625 (36.868) Prec@5 72.500 (67.497) Epoch: [16][3660/11272] Time 0.895 (0.808) Data 0.002 (0.002) Loss 2.8219 (2.6043) Prec@1 36.875 (36.872) Prec@5 61.875 (67.496) Epoch: [16][3670/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.8752 (2.6046) Prec@1 35.000 (36.864) Prec@5 63.750 (67.491) Epoch: [16][3680/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.8151 (2.6047) Prec@1 33.750 (36.860) Prec@5 65.625 (67.488) Epoch: [16][3690/11272] Time 0.834 (0.808) Data 0.002 (0.002) Loss 2.4534 (2.6045) Prec@1 39.375 (36.864) Prec@5 66.875 (67.493) Epoch: [16][3700/11272] Time 0.843 (0.808) Data 0.002 (0.002) Loss 2.6679 (2.6045) Prec@1 36.250 (36.869) Prec@5 68.125 (67.495) Epoch: [16][3710/11272] Time 0.784 (0.808) Data 0.002 (0.002) Loss 2.5365 (2.6046) Prec@1 33.125 (36.868) Prec@5 70.000 (67.491) Epoch: [16][3720/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.4950 (2.6047) Prec@1 40.625 (36.863) Prec@5 68.125 (67.494) Epoch: [16][3730/11272] Time 0.845 (0.808) Data 0.001 (0.002) Loss 2.4060 (2.6044) Prec@1 43.750 (36.869) Prec@5 70.000 (67.500) Epoch: [16][3740/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.5980 (2.6044) Prec@1 34.375 (36.865) Prec@5 70.625 (67.499) Epoch: [16][3750/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5303 (2.6045) Prec@1 36.875 (36.861) Prec@5 72.500 (67.498) Epoch: [16][3760/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.6229 (2.6045) Prec@1 38.750 (36.863) Prec@5 68.750 (67.495) Epoch: [16][3770/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.6056 (2.6047) Prec@1 38.125 (36.863) Prec@5 70.625 (67.493) Epoch: [16][3780/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.7388 (2.6046) Prec@1 30.625 (36.863) Prec@5 64.375 (67.492) Epoch: [16][3790/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 3.0155 (2.6048) Prec@1 31.875 (36.860) Prec@5 60.625 (67.490) Epoch: [16][3800/11272] Time 0.885 (0.808) Data 0.001 (0.002) Loss 2.5404 (2.6048) Prec@1 38.125 (36.855) Prec@5 66.250 (67.490) Epoch: [16][3810/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.5712 (2.6049) Prec@1 35.625 (36.854) Prec@5 68.125 (67.486) Epoch: [16][3820/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.8654 (2.6051) Prec@1 34.375 (36.849) Prec@5 61.250 (67.482) Epoch: [16][3830/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.5262 (2.6051) Prec@1 43.750 (36.852) Prec@5 68.750 (67.479) Epoch: [16][3840/11272] Time 0.843 (0.808) Data 0.002 (0.002) Loss 3.0341 (2.6052) Prec@1 32.500 (36.852) Prec@5 61.250 (67.480) Epoch: [16][3850/11272] Time 0.766 (0.808) Data 0.001 (0.002) Loss 2.5136 (2.6052) Prec@1 42.500 (36.857) Prec@5 70.625 (67.480) Epoch: [16][3860/11272] Time 0.749 (0.808) Data 0.001 (0.002) Loss 2.5941 (2.6053) Prec@1 35.625 (36.852) Prec@5 69.375 (67.479) Epoch: [16][3870/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.3939 (2.6053) Prec@1 40.625 (36.858) Prec@5 68.125 (67.479) Epoch: [16][3880/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.6407 (2.6053) Prec@1 33.125 (36.855) Prec@5 70.625 (67.477) Epoch: [16][3890/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.6980 (2.6052) Prec@1 33.750 (36.858) Prec@5 68.125 (67.478) Epoch: [16][3900/11272] Time 0.763 (0.808) Data 0.001 (0.002) Loss 2.5514 (2.6052) Prec@1 37.500 (36.858) Prec@5 68.125 (67.479) Epoch: [16][3910/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.4256 (2.6052) Prec@1 36.875 (36.856) Prec@5 68.750 (67.480) Epoch: [16][3920/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7058 (2.6051) Prec@1 35.625 (36.859) Prec@5 65.000 (67.481) Epoch: [16][3930/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.7233 (2.6052) Prec@1 35.625 (36.854) Prec@5 66.875 (67.478) Epoch: [16][3940/11272] Time 0.735 (0.808) Data 0.002 (0.002) Loss 2.3851 (2.6053) Prec@1 43.125 (36.859) Prec@5 71.875 (67.477) Epoch: [16][3950/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6062 (2.6053) Prec@1 36.250 (36.861) Prec@5 67.500 (67.478) Epoch: [16][3960/11272] Time 0.848 (0.808) Data 0.001 (0.002) Loss 2.4580 (2.6051) Prec@1 41.250 (36.864) Prec@5 67.500 (67.480) Epoch: [16][3970/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.5407 (2.6051) Prec@1 37.500 (36.865) Prec@5 66.250 (67.480) Epoch: [16][3980/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.6123 (2.6052) Prec@1 33.750 (36.861) Prec@5 66.875 (67.477) Epoch: [16][3990/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.4047 (2.6053) Prec@1 43.750 (36.862) Prec@5 70.625 (67.473) Epoch: [16][4000/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.4637 (2.6051) Prec@1 36.250 (36.860) Prec@5 69.375 (67.476) Epoch: [16][4010/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.7167 (2.6052) Prec@1 31.875 (36.860) Prec@5 65.625 (67.474) Epoch: [16][4020/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.5698 (2.6054) Prec@1 31.875 (36.857) Prec@5 68.750 (67.470) Epoch: [16][4030/11272] Time 0.882 (0.808) Data 0.001 (0.002) Loss 2.7435 (2.6053) Prec@1 36.875 (36.859) Prec@5 62.500 (67.475) Epoch: [16][4040/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.6957 (2.6055) Prec@1 33.750 (36.854) Prec@5 68.125 (67.471) Epoch: [16][4050/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.4161 (2.6055) Prec@1 40.625 (36.854) Prec@5 70.625 (67.470) Epoch: [16][4060/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.3578 (2.6055) Prec@1 44.375 (36.853) Prec@5 74.375 (67.473) Epoch: [16][4070/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.6514 (2.6056) Prec@1 42.500 (36.853) Prec@5 61.875 (67.470) Epoch: [16][4080/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.8045 (2.6056) Prec@1 38.125 (36.850) Prec@5 67.500 (67.472) Epoch: [16][4090/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.4791 (2.6056) Prec@1 39.375 (36.850) Prec@5 72.500 (67.473) Epoch: [16][4100/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5982 (2.6057) Prec@1 36.250 (36.848) Prec@5 68.125 (67.469) Epoch: [16][4110/11272] Time 0.779 (0.808) Data 0.003 (0.002) Loss 2.4694 (2.6054) Prec@1 41.875 (36.850) Prec@5 72.500 (67.475) Epoch: [16][4120/11272] Time 0.751 (0.808) Data 0.001 (0.002) Loss 2.3385 (2.6051) Prec@1 40.000 (36.854) Prec@5 73.750 (67.483) Epoch: [16][4130/11272] Time 0.851 (0.808) Data 0.001 (0.002) Loss 2.5376 (2.6051) Prec@1 33.125 (36.852) Prec@5 68.750 (67.483) Epoch: [16][4140/11272] Time 0.879 (0.808) Data 0.001 (0.002) Loss 2.7149 (2.6050) Prec@1 37.500 (36.855) Prec@5 67.500 (67.486) Epoch: [16][4150/11272] Time 0.718 (0.808) Data 0.000 (0.002) Loss 2.2662 (2.6051) Prec@1 43.125 (36.853) Prec@5 75.000 (67.488) Epoch: [16][4160/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.5073 (2.6053) Prec@1 36.875 (36.851) Prec@5 68.125 (67.481) Epoch: [16][4170/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.7135 (2.6053) Prec@1 33.750 (36.851) Prec@5 59.375 (67.478) Epoch: [16][4180/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4197 (2.6054) Prec@1 40.000 (36.849) Prec@5 73.125 (67.480) Epoch: [16][4190/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5774 (2.6054) Prec@1 33.125 (36.850) Prec@5 68.750 (67.482) Epoch: [16][4200/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.4353 (2.6053) Prec@1 38.750 (36.852) Prec@5 71.875 (67.483) Epoch: [16][4210/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 2.4515 (2.6053) Prec@1 40.000 (36.851) Prec@5 72.500 (67.484) Epoch: [16][4220/11272] Time 0.843 (0.808) Data 0.002 (0.002) Loss 2.5720 (2.6054) Prec@1 36.875 (36.852) Prec@5 66.250 (67.482) Epoch: [16][4230/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.3136 (2.6052) Prec@1 41.875 (36.853) Prec@5 70.625 (67.482) Epoch: [16][4240/11272] Time 0.807 (0.808) Data 0.001 (0.002) Loss 2.7151 (2.6051) Prec@1 38.750 (36.856) Prec@5 64.375 (67.485) Epoch: [16][4250/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.5993 (2.6053) Prec@1 38.125 (36.850) Prec@5 65.625 (67.482) Epoch: [16][4260/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6472 (2.6052) Prec@1 34.375 (36.852) Prec@5 65.000 (67.487) Epoch: [16][4270/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.7711 (2.6052) Prec@1 35.625 (36.853) Prec@5 66.875 (67.487) Epoch: [16][4280/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.5782 (2.6051) Prec@1 36.875 (36.853) Prec@5 67.500 (67.488) Epoch: [16][4290/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.4742 (2.6052) Prec@1 40.000 (36.850) Prec@5 67.500 (67.486) Epoch: [16][4300/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5787 (2.6052) Prec@1 40.625 (36.848) Prec@5 66.250 (67.486) Epoch: [16][4310/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.8843 (2.6050) Prec@1 33.125 (36.851) Prec@5 58.750 (67.487) Epoch: [16][4320/11272] Time 0.829 (0.808) Data 0.001 (0.002) Loss 2.7858 (2.6051) Prec@1 30.625 (36.852) Prec@5 61.250 (67.485) Epoch: [16][4330/11272] Time 0.908 (0.808) Data 0.002 (0.002) Loss 2.4190 (2.6050) Prec@1 37.500 (36.852) Prec@5 71.250 (67.486) Epoch: [16][4340/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.8010 (2.6051) Prec@1 33.750 (36.854) Prec@5 63.750 (67.484) Epoch: [16][4350/11272] Time 0.717 (0.808) Data 0.001 (0.002) Loss 2.5853 (2.6050) Prec@1 41.875 (36.857) Prec@5 66.250 (67.485) Epoch: [16][4360/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.5033 (2.6048) Prec@1 36.875 (36.859) Prec@5 71.250 (67.490) Epoch: [16][4370/11272] Time 0.763 (0.808) Data 0.004 (0.002) Loss 2.6004 (2.6048) Prec@1 38.750 (36.863) Prec@5 67.500 (67.490) Epoch: [16][4380/11272] Time 0.720 (0.808) Data 0.001 (0.002) Loss 2.4823 (2.6050) Prec@1 40.625 (36.858) Prec@5 71.250 (67.485) Epoch: [16][4390/11272] Time 0.851 (0.808) Data 0.003 (0.002) Loss 2.6550 (2.6051) Prec@1 36.875 (36.856) Prec@5 65.625 (67.483) Epoch: [16][4400/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.4331 (2.6050) Prec@1 39.375 (36.858) Prec@5 74.375 (67.483) Epoch: [16][4410/11272] Time 0.727 (0.808) Data 0.002 (0.002) Loss 2.3523 (2.6051) Prec@1 41.875 (36.857) Prec@5 71.250 (67.482) Epoch: [16][4420/11272] Time 0.765 (0.808) Data 0.001 (0.002) Loss 2.3602 (2.6049) Prec@1 40.000 (36.860) Prec@5 71.875 (67.488) Epoch: [16][4430/11272] Time 0.879 (0.808) Data 0.001 (0.002) Loss 2.7033 (2.6049) Prec@1 34.375 (36.860) Prec@5 69.375 (67.486) Epoch: [16][4440/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.5304 (2.6049) Prec@1 38.125 (36.856) Prec@5 69.375 (67.486) Epoch: [16][4450/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.6365 (2.6049) Prec@1 34.375 (36.859) Prec@5 64.375 (67.486) Epoch: [16][4460/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.6525 (2.6048) Prec@1 37.500 (36.860) Prec@5 64.375 (67.483) Epoch: [16][4470/11272] Time 0.872 (0.808) Data 0.001 (0.002) Loss 2.6327 (2.6048) Prec@1 35.625 (36.861) Prec@5 70.625 (67.482) Epoch: [16][4480/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.6089 (2.6050) Prec@1 40.000 (36.858) Prec@5 64.375 (67.476) Epoch: [16][4490/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.4749 (2.6050) Prec@1 41.875 (36.858) Prec@5 70.000 (67.477) Epoch: [16][4500/11272] Time 0.852 (0.808) Data 0.001 (0.002) Loss 2.7588 (2.6050) Prec@1 31.875 (36.857) Prec@5 66.250 (67.478) Epoch: [16][4510/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.3623 (2.6051) Prec@1 44.375 (36.856) Prec@5 71.250 (67.473) Epoch: [16][4520/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.5116 (2.6053) Prec@1 40.000 (36.852) Prec@5 65.000 (67.469) Epoch: [16][4530/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.4572 (2.6053) Prec@1 46.875 (36.853) Prec@5 72.500 (67.471) Epoch: [16][4540/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.8446 (2.6053) Prec@1 30.625 (36.853) Prec@5 66.250 (67.473) Epoch: [16][4550/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6359 (2.6052) Prec@1 33.750 (36.853) Prec@5 65.000 (67.476) Epoch: [16][4560/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.6670 (2.6053) Prec@1 34.375 (36.851) Prec@5 70.625 (67.474) Epoch: [16][4570/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6646 (2.6053) Prec@1 35.000 (36.849) Prec@5 65.000 (67.473) Epoch: [16][4580/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.4848 (2.6055) Prec@1 40.625 (36.848) Prec@5 68.750 (67.472) Epoch: [16][4590/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.7080 (2.6056) Prec@1 31.250 (36.843) Prec@5 68.125 (67.470) Epoch: [16][4600/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.4659 (2.6052) Prec@1 40.000 (36.848) Prec@5 70.000 (67.476) Epoch: [16][4610/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.6988 (2.6053) Prec@1 41.250 (36.848) Prec@5 64.375 (67.472) Epoch: [16][4620/11272] Time 0.838 (0.808) Data 0.001 (0.002) Loss 2.5933 (2.6054) Prec@1 36.250 (36.848) Prec@5 69.375 (67.471) Epoch: [16][4630/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.3518 (2.6056) Prec@1 43.750 (36.846) Prec@5 75.625 (67.466) Epoch: [16][4640/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.6067 (2.6056) Prec@1 36.250 (36.845) Prec@5 65.625 (67.468) Epoch: [16][4650/11272] Time 0.870 (0.808) Data 0.001 (0.002) Loss 2.6633 (2.6057) Prec@1 35.625 (36.843) Prec@5 68.125 (67.472) Epoch: [16][4660/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.4846 (2.6056) Prec@1 41.250 (36.845) Prec@5 69.375 (67.472) Epoch: [16][4670/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.7167 (2.6056) Prec@1 35.625 (36.843) Prec@5 68.750 (67.473) Epoch: [16][4680/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.3245 (2.6057) Prec@1 41.250 (36.841) Prec@5 73.125 (67.471) Epoch: [16][4690/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 2.6752 (2.6056) Prec@1 40.000 (36.842) Prec@5 65.000 (67.470) Epoch: [16][4700/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 2.4970 (2.6056) Prec@1 38.125 (36.844) Prec@5 70.625 (67.472) Epoch: [16][4710/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.8338 (2.6057) Prec@1 31.250 (36.843) Prec@5 63.125 (67.471) Epoch: [16][4720/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.5750 (2.6056) Prec@1 35.625 (36.841) Prec@5 64.375 (67.473) Epoch: [16][4730/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.3609 (2.6058) Prec@1 35.625 (36.837) Prec@5 73.125 (67.470) Epoch: [16][4740/11272] Time 0.933 (0.808) Data 0.002 (0.002) Loss 2.5750 (2.6058) Prec@1 38.125 (36.839) Prec@5 70.000 (67.470) Epoch: [16][4750/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.4681 (2.6059) Prec@1 41.875 (36.838) Prec@5 73.125 (67.466) Epoch: [16][4760/11272] Time 0.756 (0.808) Data 0.001 (0.002) Loss 2.7231 (2.6060) Prec@1 30.000 (36.838) Prec@5 66.250 (67.465) Epoch: [16][4770/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7702 (2.6060) Prec@1 35.625 (36.836) Prec@5 67.500 (67.465) Epoch: [16][4780/11272] Time 0.778 (0.808) Data 0.001 (0.002) Loss 2.4803 (2.6060) Prec@1 38.125 (36.837) Prec@5 68.125 (67.463) Epoch: [16][4790/11272] Time 0.782 (0.808) Data 0.002 (0.002) Loss 2.2916 (2.6059) Prec@1 41.875 (36.843) Prec@5 72.500 (67.466) Epoch: [16][4800/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.6304 (2.6057) Prec@1 39.375 (36.845) Prec@5 66.875 (67.470) Epoch: [16][4810/11272] Time 0.852 (0.808) Data 0.002 (0.002) Loss 2.5321 (2.6058) Prec@1 38.125 (36.845) Prec@5 66.250 (67.468) Epoch: [16][4820/11272] Time 0.734 (0.808) Data 0.002 (0.002) Loss 2.6075 (2.6059) Prec@1 36.875 (36.844) Prec@5 66.250 (67.468) Epoch: [16][4830/11272] Time 0.755 (0.808) Data 0.001 (0.002) Loss 2.5290 (2.6059) Prec@1 41.250 (36.844) Prec@5 67.500 (67.465) Epoch: [16][4840/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.6870 (2.6060) Prec@1 31.875 (36.842) Prec@5 66.875 (67.464) Epoch: [16][4850/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.3543 (2.6060) Prec@1 42.500 (36.840) Prec@5 71.250 (67.464) Epoch: [16][4860/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7148 (2.6060) Prec@1 33.750 (36.842) Prec@5 65.000 (67.462) Epoch: [16][4870/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.7868 (2.6061) Prec@1 33.750 (36.841) Prec@5 64.375 (67.461) Epoch: [16][4880/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.7259 (2.6062) Prec@1 32.500 (36.840) Prec@5 64.375 (67.460) Epoch: [16][4890/11272] Time 0.831 (0.808) Data 0.001 (0.002) Loss 2.7729 (2.6062) Prec@1 29.375 (36.839) Prec@5 66.875 (67.459) Epoch: [16][4900/11272] Time 0.776 (0.808) Data 0.001 (0.002) Loss 2.5473 (2.6061) Prec@1 33.750 (36.838) Prec@5 70.000 (67.460) Epoch: [16][4910/11272] Time 0.830 (0.808) Data 0.001 (0.002) Loss 2.7858 (2.6061) Prec@1 31.250 (36.841) Prec@5 60.625 (67.458) Epoch: [16][4920/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.5498 (2.6059) Prec@1 39.375 (36.843) Prec@5 68.750 (67.462) Epoch: [16][4930/11272] Time 0.765 (0.808) Data 0.001 (0.002) Loss 2.6887 (2.6059) Prec@1 34.375 (36.842) Prec@5 68.125 (67.463) Epoch: [16][4940/11272] Time 0.705 (0.808) Data 0.001 (0.002) Loss 2.4187 (2.6059) Prec@1 38.750 (36.843) Prec@5 69.375 (67.464) Epoch: [16][4950/11272] Time 0.897 (0.808) Data 0.001 (0.002) Loss 2.4584 (2.6061) Prec@1 40.000 (36.838) Prec@5 69.375 (67.462) Epoch: [16][4960/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6132 (2.6059) Prec@1 36.250 (36.842) Prec@5 63.750 (67.464) Epoch: [16][4970/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.3572 (2.6058) Prec@1 44.375 (36.846) Prec@5 72.500 (67.467) Epoch: [16][4980/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.5882 (2.6060) Prec@1 38.125 (36.841) Prec@5 68.125 (67.463) Epoch: [16][4990/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.5579 (2.6059) Prec@1 37.500 (36.843) Prec@5 68.750 (67.465) Epoch: [16][5000/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.7176 (2.6058) Prec@1 35.625 (36.847) Prec@5 70.625 (67.466) Epoch: [16][5010/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.6624 (2.6057) Prec@1 39.375 (36.848) Prec@5 68.750 (67.469) Epoch: [16][5020/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.9396 (2.6059) Prec@1 28.750 (36.845) Prec@5 63.125 (67.465) Epoch: [16][5030/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.6415 (2.6059) Prec@1 36.875 (36.846) Prec@5 70.625 (67.465) Epoch: [16][5040/11272] Time 0.757 (0.808) Data 0.003 (0.002) Loss 2.6388 (2.6058) Prec@1 38.125 (36.846) Prec@5 65.625 (67.464) Epoch: [16][5050/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5075 (2.6057) Prec@1 38.750 (36.847) Prec@5 69.375 (67.466) Epoch: [16][5060/11272] Time 0.866 (0.808) Data 0.001 (0.002) Loss 2.7239 (2.6058) Prec@1 38.125 (36.848) Prec@5 65.000 (67.464) Epoch: [16][5070/11272] Time 0.847 (0.808) Data 0.001 (0.002) Loss 2.6243 (2.6058) Prec@1 35.625 (36.844) Prec@5 68.750 (67.465) Epoch: [16][5080/11272] Time 0.759 (0.808) Data 0.002 (0.002) Loss 2.9659 (2.6060) Prec@1 27.500 (36.841) Prec@5 60.625 (67.462) Epoch: [16][5090/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.7154 (2.6061) Prec@1 32.500 (36.838) Prec@5 66.875 (67.461) Epoch: [16][5100/11272] Time 0.811 (0.808) Data 0.001 (0.002) Loss 2.7512 (2.6059) Prec@1 31.250 (36.839) Prec@5 64.375 (67.465) Epoch: [16][5110/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.6338 (2.6058) Prec@1 37.500 (36.840) Prec@5 65.000 (67.467) Epoch: [16][5120/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.6793 (2.6057) Prec@1 34.375 (36.840) Prec@5 69.375 (67.469) Epoch: [16][5130/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.4750 (2.6057) Prec@1 41.875 (36.844) Prec@5 70.000 (67.472) Epoch: [16][5140/11272] Time 0.822 (0.808) Data 0.001 (0.002) Loss 2.6656 (2.6056) Prec@1 34.375 (36.843) Prec@5 69.375 (67.475) Epoch: [16][5150/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.8663 (2.6057) Prec@1 30.000 (36.841) Prec@5 60.625 (67.472) Epoch: [16][5160/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5516 (2.6056) Prec@1 38.750 (36.843) Prec@5 70.625 (67.475) Epoch: [16][5170/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.5490 (2.6057) Prec@1 40.000 (36.840) Prec@5 70.000 (67.474) Epoch: [16][5180/11272] Time 0.876 (0.808) Data 0.001 (0.002) Loss 2.7942 (2.6057) Prec@1 34.375 (36.837) Prec@5 63.125 (67.474) Epoch: [16][5190/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.6108 (2.6058) Prec@1 38.750 (36.834) Prec@5 69.375 (67.474) Epoch: [16][5200/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.5654 (2.6059) Prec@1 38.125 (36.832) Prec@5 68.125 (67.471) Epoch: [16][5210/11272] Time 0.847 (0.808) Data 0.001 (0.002) Loss 2.8579 (2.6059) Prec@1 29.375 (36.832) Prec@5 66.875 (67.472) Epoch: [16][5220/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5640 (2.6058) Prec@1 38.750 (36.835) Prec@5 66.250 (67.473) Epoch: [16][5230/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.6101 (2.6059) Prec@1 34.375 (36.838) Prec@5 69.375 (67.471) Epoch: [16][5240/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.8304 (2.6058) Prec@1 34.375 (36.840) Prec@5 63.750 (67.470) Epoch: [16][5250/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.4894 (2.6058) Prec@1 36.875 (36.839) Prec@5 66.875 (67.469) Epoch: [16][5260/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.6250 (2.6059) Prec@1 34.375 (36.836) Prec@5 69.375 (67.465) Epoch: [16][5270/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.5888 (2.6059) Prec@1 33.750 (36.837) Prec@5 68.750 (67.463) Epoch: [16][5280/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.6509 (2.6059) Prec@1 37.500 (36.839) Prec@5 66.250 (67.462) Epoch: [16][5290/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.2439 (2.6059) Prec@1 41.875 (36.841) Prec@5 75.625 (67.463) Epoch: [16][5300/11272] Time 0.757 (0.808) Data 0.004 (0.002) Loss 2.6314 (2.6060) Prec@1 36.250 (36.838) Prec@5 72.500 (67.461) Epoch: [16][5310/11272] Time 0.735 (0.808) Data 0.002 (0.002) Loss 2.7619 (2.6061) Prec@1 37.500 (36.838) Prec@5 61.875 (67.460) Epoch: [16][5320/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.5747 (2.6062) Prec@1 34.375 (36.835) Prec@5 62.500 (67.458) Epoch: [16][5330/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 2.6266 (2.6061) Prec@1 35.000 (36.836) Prec@5 65.625 (67.460) Epoch: [16][5340/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.4414 (2.6061) Prec@1 42.500 (36.836) Prec@5 70.625 (67.458) Epoch: [16][5350/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5901 (2.6058) Prec@1 39.375 (36.842) Prec@5 69.375 (67.463) Epoch: [16][5360/11272] Time 0.852 (0.808) Data 0.001 (0.002) Loss 2.5711 (2.6059) Prec@1 36.875 (36.840) Prec@5 71.875 (67.463) Epoch: [16][5370/11272] Time 0.807 (0.808) Data 0.001 (0.002) Loss 2.6064 (2.6059) Prec@1 36.875 (36.841) Prec@5 70.625 (67.465) Epoch: [16][5380/11272] Time 0.708 (0.808) Data 0.001 (0.002) Loss 2.6183 (2.6059) Prec@1 41.250 (36.840) Prec@5 63.750 (67.465) Epoch: [16][5390/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.8196 (2.6058) Prec@1 35.625 (36.842) Prec@5 63.750 (67.467) Epoch: [16][5400/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.4323 (2.6059) Prec@1 41.875 (36.840) Prec@5 69.375 (67.467) Epoch: [16][5410/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 2.5674 (2.6059) Prec@1 38.125 (36.837) Prec@5 73.125 (67.470) Epoch: [16][5420/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 3.0434 (2.6058) Prec@1 28.125 (36.839) Prec@5 60.625 (67.471) Epoch: [16][5430/11272] Time 0.834 (0.808) Data 0.001 (0.002) Loss 2.6497 (2.6057) Prec@1 31.875 (36.839) Prec@5 65.000 (67.474) Epoch: [16][5440/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.6948 (2.6059) Prec@1 33.125 (36.836) Prec@5 61.250 (67.469) Epoch: [16][5450/11272] Time 0.773 (0.808) Data 0.001 (0.002) Loss 2.6115 (2.6059) Prec@1 36.875 (36.835) Prec@5 66.250 (67.469) Epoch: [16][5460/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.5932 (2.6058) Prec@1 39.375 (36.838) Prec@5 65.625 (67.473) Epoch: [16][5470/11272] Time 0.920 (0.808) Data 0.002 (0.002) Loss 2.5668 (2.6057) Prec@1 38.750 (36.841) Prec@5 70.625 (67.475) Epoch: [16][5480/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.5407 (2.6057) Prec@1 35.000 (36.841) Prec@5 68.125 (67.474) Epoch: [16][5490/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.7364 (2.6059) Prec@1 29.375 (36.837) Prec@5 65.000 (67.473) Epoch: [16][5500/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7001 (2.6059) Prec@1 33.750 (36.836) Prec@5 66.875 (67.472) Epoch: [16][5510/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 2.3561 (2.6059) Prec@1 40.625 (36.835) Prec@5 70.000 (67.473) Epoch: [16][5520/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.5292 (2.6059) Prec@1 40.625 (36.832) Prec@5 69.375 (67.473) Epoch: [16][5530/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.7875 (2.6060) Prec@1 36.250 (36.825) Prec@5 63.750 (67.472) Epoch: [16][5540/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.6800 (2.6061) Prec@1 34.375 (36.821) Prec@5 68.125 (67.470) Epoch: [16][5550/11272] Time 0.873 (0.808) Data 0.003 (0.002) Loss 2.6856 (2.6062) Prec@1 38.750 (36.820) Prec@5 68.750 (67.470) Epoch: [16][5560/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.4441 (2.6061) Prec@1 36.250 (36.824) Prec@5 69.375 (67.472) Epoch: [16][5570/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.6260 (2.6062) Prec@1 35.625 (36.825) Prec@5 68.750 (67.471) Epoch: [16][5580/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.7997 (2.6062) Prec@1 32.500 (36.826) Prec@5 66.250 (67.473) Epoch: [16][5590/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.8672 (2.6061) Prec@1 32.500 (36.824) Prec@5 65.000 (67.474) Epoch: [16][5600/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 2.5099 (2.6061) Prec@1 38.125 (36.827) Prec@5 73.125 (67.475) Epoch: [16][5610/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.3561 (2.6060) Prec@1 42.500 (36.828) Prec@5 70.625 (67.475) Epoch: [16][5620/11272] Time 0.866 (0.808) Data 0.001 (0.002) Loss 2.5472 (2.6060) Prec@1 37.500 (36.827) Prec@5 68.125 (67.477) Epoch: [16][5630/11272] Time 0.914 (0.808) Data 0.002 (0.002) Loss 2.4255 (2.6060) Prec@1 43.125 (36.826) Prec@5 69.375 (67.475) Epoch: [16][5640/11272] Time 0.749 (0.808) Data 0.001 (0.002) Loss 2.5783 (2.6060) Prec@1 38.125 (36.827) Prec@5 67.500 (67.473) Epoch: [16][5650/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.6901 (2.6059) Prec@1 35.625 (36.827) Prec@5 67.500 (67.475) Epoch: [16][5660/11272] Time 0.872 (0.808) Data 0.001 (0.002) Loss 2.4748 (2.6059) Prec@1 40.625 (36.827) Prec@5 69.375 (67.476) Epoch: [16][5670/11272] Time 0.842 (0.808) Data 0.001 (0.002) Loss 2.7052 (2.6059) Prec@1 36.250 (36.829) Prec@5 67.500 (67.476) Epoch: [16][5680/11272] Time 0.784 (0.808) Data 0.002 (0.002) Loss 2.7686 (2.6059) Prec@1 37.500 (36.830) Prec@5 65.000 (67.477) Epoch: [16][5690/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.7157 (2.6060) Prec@1 28.750 (36.828) Prec@5 64.375 (67.472) Epoch: [16][5700/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.3300 (2.6060) Prec@1 37.500 (36.829) Prec@5 73.125 (67.471) Epoch: [16][5710/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.3642 (2.6060) Prec@1 42.500 (36.830) Prec@5 74.375 (67.474) Epoch: [16][5720/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.8321 (2.6060) Prec@1 33.125 (36.830) Prec@5 63.125 (67.476) Epoch: [16][5730/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.6306 (2.6058) Prec@1 38.750 (36.834) Prec@5 66.875 (67.479) Epoch: [16][5740/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.4266 (2.6056) Prec@1 38.750 (36.835) Prec@5 71.250 (67.483) Epoch: [16][5750/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7658 (2.6056) Prec@1 35.625 (36.836) Prec@5 63.750 (67.483) Epoch: [16][5760/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.4464 (2.6057) Prec@1 45.000 (36.836) Prec@5 68.750 (67.481) Epoch: [16][5770/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.6381 (2.6057) Prec@1 33.750 (36.838) Prec@5 63.750 (67.479) Epoch: [16][5780/11272] Time 0.822 (0.808) Data 0.001 (0.002) Loss 2.3240 (2.6058) Prec@1 38.750 (36.836) Prec@5 73.750 (67.477) Epoch: [16][5790/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.5516 (2.6058) Prec@1 41.875 (36.836) Prec@5 68.125 (67.479) Epoch: [16][5800/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.4036 (2.6057) Prec@1 35.625 (36.838) Prec@5 73.750 (67.482) Epoch: [16][5810/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.5550 (2.6057) Prec@1 31.250 (36.836) Prec@5 69.375 (67.481) Epoch: [16][5820/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.3452 (2.6056) Prec@1 41.875 (36.838) Prec@5 70.000 (67.483) Epoch: [16][5830/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.7880 (2.6055) Prec@1 31.250 (36.837) Prec@5 63.125 (67.484) Epoch: [16][5840/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.6257 (2.6055) Prec@1 35.000 (36.837) Prec@5 64.375 (67.484) Epoch: [16][5850/11272] Time 0.834 (0.808) Data 0.001 (0.002) Loss 2.6808 (2.6056) Prec@1 35.000 (36.837) Prec@5 65.625 (67.482) Epoch: [16][5860/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.7518 (2.6056) Prec@1 33.125 (36.836) Prec@5 65.000 (67.484) Epoch: [16][5870/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.7454 (2.6056) Prec@1 27.500 (36.837) Prec@5 65.625 (67.482) Epoch: [16][5880/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.7850 (2.6057) Prec@1 33.125 (36.835) Prec@5 63.125 (67.481) Epoch: [16][5890/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.6443 (2.6057) Prec@1 35.625 (36.833) Prec@5 70.000 (67.483) Epoch: [16][5900/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.8449 (2.6057) Prec@1 28.125 (36.830) Prec@5 64.375 (67.482) Epoch: [16][5910/11272] Time 0.791 (0.808) Data 0.002 (0.002) Loss 2.6251 (2.6057) Prec@1 33.750 (36.828) Prec@5 68.750 (67.484) Epoch: [16][5920/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 2.6820 (2.6057) Prec@1 33.125 (36.828) Prec@5 61.875 (67.483) Epoch: [16][5930/11272] Time 0.797 (0.808) Data 0.001 (0.002) Loss 2.6449 (2.6057) Prec@1 36.875 (36.829) Prec@5 64.375 (67.483) Epoch: [16][5940/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.3197 (2.6056) Prec@1 41.250 (36.830) Prec@5 76.250 (67.487) Epoch: [16][5950/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.5810 (2.6055) Prec@1 33.125 (36.831) Prec@5 70.000 (67.488) Epoch: [16][5960/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.5281 (2.6055) Prec@1 39.375 (36.830) Prec@5 65.625 (67.484) Epoch: [16][5970/11272] Time 0.775 (0.808) Data 0.003 (0.002) Loss 2.9211 (2.6056) Prec@1 32.500 (36.828) Prec@5 60.625 (67.480) Epoch: [16][5980/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.6215 (2.6057) Prec@1 39.375 (36.825) Prec@5 63.125 (67.477) Epoch: [16][5990/11272] Time 0.915 (0.808) Data 0.002 (0.002) Loss 2.6384 (2.6057) Prec@1 31.875 (36.825) Prec@5 66.250 (67.477) Epoch: [16][6000/11272] Time 0.859 (0.808) Data 0.001 (0.002) Loss 2.6933 (2.6056) Prec@1 37.500 (36.825) Prec@5 66.250 (67.477) Epoch: [16][6010/11272] Time 0.763 (0.808) Data 0.001 (0.002) Loss 2.7159 (2.6055) Prec@1 35.000 (36.828) Prec@5 69.375 (67.479) Epoch: [16][6020/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.7411 (2.6054) Prec@1 30.000 (36.828) Prec@5 61.875 (67.480) Epoch: [16][6030/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.5153 (2.6054) Prec@1 40.000 (36.827) Prec@5 68.750 (67.480) Epoch: [16][6040/11272] Time 0.850 (0.808) Data 0.001 (0.002) Loss 2.8065 (2.6055) Prec@1 29.375 (36.824) Prec@5 63.125 (67.480) Epoch: [16][6050/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.5771 (2.6055) Prec@1 37.500 (36.825) Prec@5 71.250 (67.482) Epoch: [16][6060/11272] Time 0.702 (0.808) Data 0.001 (0.002) Loss 2.3188 (2.6055) Prec@1 40.625 (36.826) Prec@5 77.500 (67.481) Epoch: [16][6070/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.3782 (2.6055) Prec@1 45.000 (36.827) Prec@5 71.250 (67.482) Epoch: [16][6080/11272] Time 0.839 (0.808) Data 0.002 (0.002) Loss 2.5649 (2.6055) Prec@1 36.875 (36.828) Prec@5 66.250 (67.481) Epoch: [16][6090/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.5398 (2.6054) Prec@1 38.125 (36.831) Prec@5 65.625 (67.481) Epoch: [16][6100/11272] Time 0.808 (0.808) Data 0.001 (0.002) Loss 2.6781 (2.6052) Prec@1 38.750 (36.832) Prec@5 61.875 (67.481) Epoch: [16][6110/11272] Time 0.829 (0.808) Data 0.001 (0.002) Loss 2.6561 (2.6053) Prec@1 41.250 (36.834) Prec@5 61.875 (67.479) Epoch: [16][6120/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.6448 (2.6054) Prec@1 35.000 (36.830) Prec@5 68.125 (67.476) Epoch: [16][6130/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.6449 (2.6053) Prec@1 37.500 (36.835) Prec@5 64.375 (67.476) Epoch: [16][6140/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.5329 (2.6053) Prec@1 37.500 (36.835) Prec@5 70.625 (67.478) Epoch: [16][6150/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.5906 (2.6053) Prec@1 35.000 (36.836) Prec@5 68.125 (67.476) Epoch: [16][6160/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.6325 (2.6054) Prec@1 33.125 (36.833) Prec@5 63.750 (67.475) Epoch: [16][6170/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.4348 (2.6053) Prec@1 40.000 (36.833) Prec@5 70.000 (67.473) Epoch: [16][6180/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.6852 (2.6054) Prec@1 38.125 (36.830) Prec@5 68.125 (67.471) Epoch: [16][6190/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.5527 (2.6054) Prec@1 38.125 (36.829) Prec@5 67.500 (67.470) Epoch: [16][6200/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.4850 (2.6055) Prec@1 35.625 (36.829) Prec@5 68.750 (67.469) Epoch: [16][6210/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.5359 (2.6055) Prec@1 36.875 (36.828) Prec@5 67.500 (67.470) Epoch: [16][6220/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.2704 (2.6054) Prec@1 42.500 (36.830) Prec@5 75.000 (67.472) Epoch: [16][6230/11272] Time 0.758 (0.808) Data 0.004 (0.002) Loss 2.6475 (2.6054) Prec@1 33.125 (36.829) Prec@5 66.250 (67.473) Epoch: [16][6240/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.6381 (2.6055) Prec@1 41.250 (36.830) Prec@5 65.000 (67.472) Epoch: [16][6250/11272] Time 0.829 (0.808) Data 0.001 (0.002) Loss 2.6064 (2.6053) Prec@1 32.500 (36.832) Prec@5 64.375 (67.476) Epoch: [16][6260/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.6426 (2.6054) Prec@1 40.625 (36.830) Prec@5 66.875 (67.474) Epoch: [16][6270/11272] Time 0.731 (0.808) Data 0.002 (0.002) Loss 2.5011 (2.6054) Prec@1 35.000 (36.832) Prec@5 68.750 (67.475) Epoch: [16][6280/11272] Time 0.745 (0.808) Data 0.001 (0.002) Loss 2.5327 (2.6053) Prec@1 38.750 (36.833) Prec@5 68.750 (67.476) Epoch: [16][6290/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.7467 (2.6054) Prec@1 29.375 (36.830) Prec@5 65.000 (67.476) Epoch: [16][6300/11272] Time 0.888 (0.808) Data 0.001 (0.002) Loss 2.6265 (2.6056) Prec@1 35.625 (36.828) Prec@5 71.875 (67.471) Epoch: [16][6310/11272] Time 0.760 (0.808) Data 0.001 (0.002) Loss 2.5951 (2.6056) Prec@1 33.750 (36.825) Prec@5 68.125 (67.470) Epoch: [16][6320/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5264 (2.6057) Prec@1 34.375 (36.823) Prec@5 68.125 (67.470) Epoch: [16][6330/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.5336 (2.6058) Prec@1 38.125 (36.820) Prec@5 67.500 (67.469) Epoch: [16][6340/11272] Time 0.838 (0.808) Data 0.003 (0.002) Loss 2.4594 (2.6058) Prec@1 35.625 (36.818) Prec@5 67.500 (67.468) Epoch: [16][6350/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.5063 (2.6058) Prec@1 37.500 (36.816) Prec@5 70.000 (67.469) Epoch: [16][6360/11272] Time 0.870 (0.808) Data 0.001 (0.002) Loss 2.4920 (2.6059) Prec@1 40.000 (36.814) Prec@5 70.000 (67.466) Epoch: [16][6370/11272] Time 0.903 (0.808) Data 0.002 (0.002) Loss 2.6419 (2.6059) Prec@1 36.875 (36.815) Prec@5 63.750 (67.465) Epoch: [16][6380/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.5160 (2.6059) Prec@1 35.000 (36.815) Prec@5 68.125 (67.466) Epoch: [16][6390/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.6407 (2.6059) Prec@1 35.000 (36.815) Prec@5 65.625 (67.465) Epoch: [16][6400/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.5347 (2.6061) Prec@1 40.625 (36.814) Prec@5 70.000 (67.463) Epoch: [16][6410/11272] Time 0.844 (0.808) Data 0.001 (0.002) Loss 2.7335 (2.6061) Prec@1 33.750 (36.812) Prec@5 61.875 (67.462) Epoch: [16][6420/11272] Time 0.713 (0.807) Data 0.001 (0.002) Loss 2.5585 (2.6061) Prec@1 34.375 (36.813) Prec@5 71.250 (67.463) Epoch: [16][6430/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.9531 (2.6061) Prec@1 29.375 (36.809) Prec@5 61.250 (67.463) Epoch: [16][6440/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.5140 (2.6061) Prec@1 41.875 (36.809) Prec@5 68.125 (67.465) Epoch: [16][6450/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.6516 (2.6059) Prec@1 37.500 (36.812) Prec@5 64.375 (67.469) Epoch: [16][6460/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6260 (2.6059) Prec@1 36.250 (36.812) Prec@5 61.875 (67.469) Epoch: [16][6470/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.2721 (2.6058) Prec@1 43.750 (36.816) Prec@5 73.750 (67.467) Epoch: [16][6480/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.5042 (2.6059) Prec@1 42.500 (36.814) Prec@5 73.125 (67.465) Epoch: [16][6490/11272] Time 0.930 (0.807) Data 0.002 (0.002) Loss 2.7697 (2.6059) Prec@1 30.625 (36.814) Prec@5 61.875 (67.464) Epoch: [16][6500/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.7117 (2.6059) Prec@1 40.625 (36.812) Prec@5 67.500 (67.464) Epoch: [16][6510/11272] Time 0.837 (0.807) Data 0.002 (0.002) Loss 2.4492 (2.6059) Prec@1 41.250 (36.814) Prec@5 68.125 (67.463) Epoch: [16][6520/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.8051 (2.6061) Prec@1 35.625 (36.813) Prec@5 63.125 (67.459) Epoch: [16][6530/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.6854 (2.6061) Prec@1 36.875 (36.810) Prec@5 63.750 (67.457) Epoch: [16][6540/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5978 (2.6060) Prec@1 32.500 (36.811) Prec@5 65.000 (67.460) Epoch: [16][6550/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.3377 (2.6060) Prec@1 40.625 (36.813) Prec@5 73.750 (67.460) Epoch: [16][6560/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.6514 (2.6060) Prec@1 37.500 (36.814) Prec@5 69.375 (67.462) Epoch: [16][6570/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.7618 (2.6060) Prec@1 34.375 (36.817) Prec@5 66.875 (67.462) Epoch: [16][6580/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4036 (2.6060) Prec@1 41.250 (36.815) Prec@5 70.000 (67.461) Epoch: [16][6590/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.4704 (2.6060) Prec@1 38.750 (36.815) Prec@5 70.000 (67.462) Epoch: [16][6600/11272] Time 0.815 (0.807) Data 0.001 (0.002) Loss 2.7459 (2.6061) Prec@1 32.500 (36.810) Prec@5 69.375 (67.460) Epoch: [16][6610/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7447 (2.6063) Prec@1 35.000 (36.807) Prec@5 62.500 (67.458) Epoch: [16][6620/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.7272 (2.6064) Prec@1 36.875 (36.806) Prec@5 63.750 (67.455) Epoch: [16][6630/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 3.0010 (2.6064) Prec@1 29.375 (36.807) Prec@5 56.875 (67.453) Epoch: [16][6640/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6967 (2.6064) Prec@1 38.125 (36.808) Prec@5 64.375 (67.453) Epoch: [16][6650/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5787 (2.6064) Prec@1 40.000 (36.810) Prec@5 65.625 (67.454) Epoch: [16][6660/11272] Time 0.915 (0.807) Data 0.002 (0.002) Loss 2.7494 (2.6064) Prec@1 31.875 (36.806) Prec@5 63.750 (67.454) Epoch: [16][6670/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.6006 (2.6063) Prec@1 37.500 (36.807) Prec@5 68.125 (67.456) Epoch: [16][6680/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.7435 (2.6063) Prec@1 35.000 (36.807) Prec@5 65.000 (67.456) Epoch: [16][6690/11272] Time 0.760 (0.807) Data 0.001 (0.002) Loss 2.8187 (2.6064) Prec@1 31.875 (36.805) Prec@5 63.125 (67.454) Epoch: [16][6700/11272] Time 0.903 (0.807) Data 0.001 (0.002) Loss 2.7732 (2.6065) Prec@1 36.250 (36.804) Prec@5 63.750 (67.452) Epoch: [16][6710/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5658 (2.6066) Prec@1 36.250 (36.800) Prec@5 67.500 (67.451) Epoch: [16][6720/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.7945 (2.6066) Prec@1 30.000 (36.799) Prec@5 61.875 (67.449) Epoch: [16][6730/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.7420 (2.6066) Prec@1 35.000 (36.800) Prec@5 67.500 (67.450) Epoch: [16][6740/11272] Time 0.961 (0.807) Data 0.002 (0.002) Loss 2.7518 (2.6067) Prec@1 36.250 (36.796) Prec@5 65.625 (67.449) Epoch: [16][6750/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.3822 (2.6066) Prec@1 41.250 (36.795) Prec@5 70.000 (67.449) Epoch: [16][6760/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.4600 (2.6067) Prec@1 41.250 (36.792) Prec@5 70.000 (67.446) Epoch: [16][6770/11272] Time 0.899 (0.807) Data 0.001 (0.002) Loss 2.6192 (2.6067) Prec@1 37.500 (36.794) Prec@5 70.000 (67.448) Epoch: [16][6780/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.8443 (2.6067) Prec@1 33.750 (36.796) Prec@5 61.250 (67.449) Epoch: [16][6790/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.8725 (2.6067) Prec@1 34.375 (36.795) Prec@5 66.250 (67.448) Epoch: [16][6800/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.6358 (2.6068) Prec@1 36.875 (36.795) Prec@5 64.375 (67.446) Epoch: [16][6810/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.8694 (2.6067) Prec@1 35.000 (36.796) Prec@5 60.000 (67.448) Epoch: [16][6820/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.6490 (2.6068) Prec@1 40.625 (36.797) Prec@5 61.875 (67.447) Epoch: [16][6830/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7587 (2.6068) Prec@1 36.250 (36.795) Prec@5 63.125 (67.444) Epoch: [16][6840/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7405 (2.6069) Prec@1 37.500 (36.797) Prec@5 66.250 (67.444) Epoch: [16][6850/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.3256 (2.6068) Prec@1 41.250 (36.797) Prec@5 73.750 (67.444) Epoch: [16][6860/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.8163 (2.6068) Prec@1 31.250 (36.798) Prec@5 60.000 (67.445) Epoch: [16][6870/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3593 (2.6068) Prec@1 41.250 (36.799) Prec@5 70.000 (67.445) Epoch: [16][6880/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.5764 (2.6069) Prec@1 40.000 (36.799) Prec@5 60.625 (67.443) Epoch: [16][6890/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.6229 (2.6068) Prec@1 35.625 (36.797) Prec@5 66.250 (67.443) Epoch: [16][6900/11272] Time 0.764 (0.807) Data 0.003 (0.002) Loss 2.2288 (2.6068) Prec@1 45.000 (36.797) Prec@5 76.250 (67.443) Epoch: [16][6910/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.7911 (2.6069) Prec@1 30.000 (36.797) Prec@5 61.875 (67.443) Epoch: [16][6920/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.4579 (2.6067) Prec@1 42.500 (36.801) Prec@5 69.375 (67.444) Epoch: [16][6930/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.6648 (2.6068) Prec@1 33.125 (36.799) Prec@5 64.375 (67.444) Epoch: [16][6940/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.6234 (2.6068) Prec@1 39.375 (36.799) Prec@5 65.625 (67.445) Epoch: [16][6950/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.7143 (2.6068) Prec@1 37.500 (36.799) Prec@5 66.875 (67.447) Epoch: [16][6960/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5308 (2.6068) Prec@1 37.500 (36.798) Prec@5 70.000 (67.446) Epoch: [16][6970/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.6137 (2.6068) Prec@1 33.125 (36.798) Prec@5 67.500 (67.446) Epoch: [16][6980/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.8448 (2.6069) Prec@1 33.125 (36.796) Prec@5 61.875 (67.445) Epoch: [16][6990/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6375 (2.6069) Prec@1 33.750 (36.796) Prec@5 70.000 (67.446) Epoch: [16][7000/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.6133 (2.6068) Prec@1 38.125 (36.799) Prec@5 67.500 (67.448) Epoch: [16][7010/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.9347 (2.6068) Prec@1 33.750 (36.799) Prec@5 59.375 (67.447) Epoch: [16][7020/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6909 (2.6070) Prec@1 32.500 (36.796) Prec@5 67.500 (67.445) Epoch: [16][7030/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.6005 (2.6072) Prec@1 31.250 (36.792) Prec@5 67.500 (67.442) Epoch: [16][7040/11272] Time 0.807 (0.807) Data 0.001 (0.002) Loss 2.5173 (2.6071) Prec@1 36.875 (36.791) Prec@5 69.375 (67.442) Epoch: [16][7050/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7032 (2.6071) Prec@1 34.375 (36.791) Prec@5 60.625 (67.442) Epoch: [16][7060/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 3.0299 (2.6072) Prec@1 23.750 (36.791) Prec@5 56.875 (67.441) Epoch: [16][7070/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.4273 (2.6072) Prec@1 38.750 (36.791) Prec@5 71.250 (67.440) Epoch: [16][7080/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.8169 (2.6072) Prec@1 35.000 (36.792) Prec@5 66.875 (67.439) Epoch: [16][7090/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6466 (2.6072) Prec@1 38.125 (36.791) Prec@5 63.750 (67.439) Epoch: [16][7100/11272] Time 0.713 (0.807) Data 0.001 (0.002) Loss 2.7374 (2.6073) Prec@1 33.125 (36.788) Prec@5 68.750 (67.437) Epoch: [16][7110/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.4491 (2.6073) Prec@1 41.250 (36.787) Prec@5 70.625 (67.437) Epoch: [16][7120/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 3.0337 (2.6074) Prec@1 28.125 (36.783) Prec@5 60.000 (67.435) Epoch: [16][7130/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.9602 (2.6074) Prec@1 30.625 (36.782) Prec@5 56.250 (67.434) Epoch: [16][7140/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.7288 (2.6074) Prec@1 36.250 (36.782) Prec@5 63.750 (67.433) Epoch: [16][7150/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.6338 (2.6074) Prec@1 35.625 (36.782) Prec@5 68.750 (67.432) Epoch: [16][7160/11272] Time 0.772 (0.807) Data 0.003 (0.002) Loss 2.5567 (2.6074) Prec@1 42.500 (36.783) Prec@5 68.125 (67.431) Epoch: [16][7170/11272] Time 0.760 (0.807) Data 0.001 (0.002) Loss 2.3870 (2.6075) Prec@1 39.375 (36.780) Prec@5 69.375 (67.428) Epoch: [16][7180/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4907 (2.6075) Prec@1 41.250 (36.779) Prec@5 70.000 (67.429) Epoch: [16][7190/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 2.8024 (2.6076) Prec@1 33.750 (36.779) Prec@5 66.875 (67.427) Epoch: [16][7200/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.6927 (2.6077) Prec@1 33.125 (36.777) Prec@5 63.750 (67.426) Epoch: [16][7210/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.7662 (2.6078) Prec@1 28.750 (36.776) Prec@5 68.125 (67.425) Epoch: [16][7220/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6224 (2.6079) Prec@1 36.875 (36.773) Prec@5 66.875 (67.423) Epoch: [16][7230/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.4189 (2.6079) Prec@1 36.875 (36.772) Prec@5 71.875 (67.423) Epoch: [16][7240/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.4397 (2.6079) Prec@1 34.375 (36.772) Prec@5 71.250 (67.424) Epoch: [16][7250/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 2.9358 (2.6081) Prec@1 30.625 (36.768) Prec@5 60.625 (67.421) Epoch: [16][7260/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.7903 (2.6080) Prec@1 31.875 (36.769) Prec@5 60.000 (67.422) Epoch: [16][7270/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.7771 (2.6080) Prec@1 31.875 (36.768) Prec@5 63.750 (67.422) Epoch: [16][7280/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6250 (2.6081) Prec@1 41.875 (36.768) Prec@5 67.500 (67.423) Epoch: [16][7290/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.7415 (2.6082) Prec@1 32.500 (36.766) Prec@5 65.625 (67.421) Epoch: [16][7300/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.5189 (2.6082) Prec@1 36.250 (36.766) Prec@5 72.500 (67.422) Epoch: [16][7310/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.3918 (2.6082) Prec@1 38.125 (36.767) Prec@5 75.000 (67.424) Epoch: [16][7320/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4059 (2.6082) Prec@1 43.750 (36.766) Prec@5 73.125 (67.422) Epoch: [16][7330/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.2065 (2.6080) Prec@1 43.750 (36.769) Prec@5 75.625 (67.424) Epoch: [16][7340/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.6368 (2.6080) Prec@1 40.625 (36.769) Prec@5 66.875 (67.425) Epoch: [16][7350/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.7629 (2.6079) Prec@1 36.250 (36.773) Prec@5 63.125 (67.425) Epoch: [16][7360/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.7918 (2.6080) Prec@1 35.625 (36.773) Prec@5 60.625 (67.422) Epoch: [16][7370/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.7249 (2.6080) Prec@1 33.125 (36.773) Prec@5 67.500 (67.423) Epoch: [16][7380/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.5721 (2.6080) Prec@1 35.625 (36.773) Prec@5 72.500 (67.425) Epoch: [16][7390/11272] Time 0.813 (0.807) Data 0.001 (0.002) Loss 2.5840 (2.6080) Prec@1 32.500 (36.771) Prec@5 66.875 (67.425) Epoch: [16][7400/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6055 (2.6081) Prec@1 41.250 (36.769) Prec@5 68.750 (67.422) Epoch: [16][7410/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6517 (2.6083) Prec@1 38.125 (36.767) Prec@5 66.250 (67.419) Epoch: [16][7420/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.5967 (2.6083) Prec@1 35.000 (36.767) Prec@5 68.125 (67.418) Epoch: [16][7430/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.6401 (2.6083) Prec@1 32.500 (36.767) Prec@5 71.875 (67.421) Epoch: [16][7440/11272] Time 0.815 (0.807) Data 0.001 (0.002) Loss 2.5614 (2.6082) Prec@1 35.000 (36.766) Prec@5 66.250 (67.420) Epoch: [16][7450/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5592 (2.6084) Prec@1 36.250 (36.765) Prec@5 70.000 (67.418) Epoch: [16][7460/11272] Time 0.775 (0.807) Data 0.001 (0.002) Loss 2.6873 (2.6084) Prec@1 39.375 (36.765) Prec@5 64.375 (67.416) Epoch: [16][7470/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5851 (2.6084) Prec@1 35.625 (36.763) Prec@5 65.625 (67.416) Epoch: [16][7480/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.6822 (2.6085) Prec@1 35.000 (36.760) Prec@5 66.875 (67.413) Epoch: [16][7490/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.9043 (2.6085) Prec@1 33.125 (36.759) Prec@5 61.250 (67.412) Epoch: [16][7500/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.7303 (2.6085) Prec@1 38.125 (36.759) Prec@5 63.125 (67.412) Epoch: [16][7510/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6376 (2.6086) Prec@1 35.625 (36.758) Prec@5 71.250 (67.413) Epoch: [16][7520/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.7703 (2.6085) Prec@1 33.125 (36.761) Prec@5 62.500 (67.415) Epoch: [16][7530/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.7651 (2.6085) Prec@1 33.125 (36.760) Prec@5 65.625 (67.415) Epoch: [16][7540/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7586 (2.6086) Prec@1 30.000 (36.757) Prec@5 65.625 (67.413) Epoch: [16][7550/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6694 (2.6086) Prec@1 37.500 (36.756) Prec@5 64.375 (67.412) Epoch: [16][7560/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5236 (2.6087) Prec@1 42.500 (36.757) Prec@5 71.250 (67.410) Epoch: [16][7570/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.5976 (2.6087) Prec@1 33.125 (36.755) Prec@5 67.500 (67.408) Epoch: [16][7580/11272] Time 0.709 (0.807) Data 0.001 (0.002) Loss 2.5692 (2.6088) Prec@1 38.750 (36.753) Prec@5 68.750 (67.407) Epoch: [16][7590/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.6821 (2.6088) Prec@1 31.875 (36.753) Prec@5 63.750 (67.407) Epoch: [16][7600/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.5493 (2.6088) Prec@1 37.500 (36.754) Prec@5 67.500 (67.408) Epoch: [16][7610/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4955 (2.6085) Prec@1 40.000 (36.758) Prec@5 71.875 (67.413) Epoch: [16][7620/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.3616 (2.6086) Prec@1 41.250 (36.757) Prec@5 72.500 (67.412) Epoch: [16][7630/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6163 (2.6086) Prec@1 35.000 (36.756) Prec@5 66.875 (67.412) Epoch: [16][7640/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.6750 (2.6085) Prec@1 35.000 (36.758) Prec@5 69.375 (67.415) Epoch: [16][7650/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5386 (2.6085) Prec@1 36.875 (36.758) Prec@5 71.250 (67.415) Epoch: [16][7660/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7537 (2.6086) Prec@1 36.250 (36.756) Prec@5 66.250 (67.413) Epoch: [16][7670/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 2.4494 (2.6086) Prec@1 37.500 (36.754) Prec@5 73.750 (67.414) Epoch: [16][7680/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.7641 (2.6087) Prec@1 31.875 (36.750) Prec@5 65.625 (67.412) Epoch: [16][7690/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.7724 (2.6087) Prec@1 38.750 (36.751) Prec@5 65.000 (67.413) Epoch: [16][7700/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.5309 (2.6088) Prec@1 36.875 (36.750) Prec@5 74.375 (67.410) Epoch: [16][7710/11272] Time 0.881 (0.807) Data 0.003 (0.002) Loss 2.7615 (2.6088) Prec@1 35.000 (36.751) Prec@5 63.750 (67.412) Epoch: [16][7720/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.5826 (2.6088) Prec@1 41.875 (36.751) Prec@5 69.375 (67.412) Epoch: [16][7730/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7818 (2.6088) Prec@1 34.375 (36.751) Prec@5 65.625 (67.411) Epoch: [16][7740/11272] Time 0.904 (0.807) Data 0.002 (0.002) Loss 2.4871 (2.6088) Prec@1 40.000 (36.750) Prec@5 66.250 (67.410) Epoch: [16][7750/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.5217 (2.6087) Prec@1 31.250 (36.753) Prec@5 70.000 (67.413) Epoch: [16][7760/11272] Time 0.783 (0.807) Data 0.002 (0.002) Loss 2.7131 (2.6086) Prec@1 33.750 (36.756) Prec@5 66.250 (67.416) Epoch: [16][7770/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3177 (2.6086) Prec@1 38.750 (36.755) Prec@5 73.125 (67.415) Epoch: [16][7780/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.8553 (2.6087) Prec@1 34.375 (36.753) Prec@5 59.375 (67.413) Epoch: [16][7790/11272] Time 0.834 (0.807) Data 0.002 (0.002) Loss 2.5894 (2.6087) Prec@1 36.875 (36.752) Prec@5 70.000 (67.414) Epoch: [16][7800/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.2293 (2.6087) Prec@1 45.625 (36.754) Prec@5 75.625 (67.414) Epoch: [16][7810/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.8778 (2.6086) Prec@1 30.000 (36.753) Prec@5 61.875 (67.416) Epoch: [16][7820/11272] Time 0.897 (0.807) Data 0.001 (0.002) Loss 2.8119 (2.6087) Prec@1 31.250 (36.752) Prec@5 62.500 (67.413) Epoch: [16][7830/11272] Time 0.775 (0.807) Data 0.005 (0.002) Loss 2.7173 (2.6088) Prec@1 34.375 (36.749) Prec@5 63.125 (67.411) Epoch: [16][7840/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.5729 (2.6087) Prec@1 34.375 (36.751) Prec@5 66.250 (67.412) Epoch: [16][7850/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.5930 (2.6088) Prec@1 37.500 (36.751) Prec@5 64.375 (67.409) Epoch: [16][7860/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.5573 (2.6088) Prec@1 40.000 (36.750) Prec@5 67.500 (67.410) Epoch: [16][7870/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4319 (2.6088) Prec@1 36.875 (36.749) Prec@5 71.875 (67.410) Epoch: [16][7880/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.8170 (2.6088) Prec@1 29.375 (36.748) Prec@5 65.000 (67.409) Epoch: [16][7890/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.2412 (2.6087) Prec@1 41.875 (36.748) Prec@5 73.125 (67.412) Epoch: [16][7900/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.5522 (2.6087) Prec@1 38.750 (36.749) Prec@5 66.875 (67.412) Epoch: [16][7910/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.7621 (2.6087) Prec@1 31.875 (36.748) Prec@5 65.625 (67.411) Epoch: [16][7920/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5626 (2.6085) Prec@1 35.000 (36.753) Prec@5 71.875 (67.416) Epoch: [16][7930/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.4366 (2.6086) Prec@1 42.500 (36.753) Prec@5 71.250 (67.416) Epoch: [16][7940/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.5132 (2.6085) Prec@1 35.000 (36.753) Prec@5 66.250 (67.416) Epoch: [16][7950/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.7201 (2.6085) Prec@1 34.375 (36.754) Prec@5 63.750 (67.415) Epoch: [16][7960/11272] Time 0.879 (0.807) Data 0.001 (0.002) Loss 2.7126 (2.6084) Prec@1 37.500 (36.754) Prec@5 67.500 (67.416) Epoch: [16][7970/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.3874 (2.6083) Prec@1 39.375 (36.754) Prec@5 70.625 (67.418) Epoch: [16][7980/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5558 (2.6082) Prec@1 39.375 (36.756) Prec@5 68.125 (67.419) Epoch: [16][7990/11272] Time 0.762 (0.807) Data 0.001 (0.002) Loss 2.4551 (2.6083) Prec@1 37.500 (36.753) Prec@5 68.750 (67.417) Epoch: [16][8000/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.7406 (2.6083) Prec@1 39.375 (36.753) Prec@5 62.500 (67.416) Epoch: [16][8010/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.6021 (2.6082) Prec@1 36.250 (36.757) Prec@5 69.375 (67.418) Epoch: [16][8020/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7386 (2.6082) Prec@1 32.500 (36.758) Prec@5 62.500 (67.420) Epoch: [16][8030/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7222 (2.6083) Prec@1 33.125 (36.757) Prec@5 63.125 (67.416) Epoch: [16][8040/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 2.9046 (2.6084) Prec@1 33.125 (36.757) Prec@5 61.250 (67.415) Epoch: [16][8050/11272] Time 0.912 (0.807) Data 0.002 (0.002) Loss 2.7234 (2.6084) Prec@1 35.000 (36.757) Prec@5 65.625 (67.415) Epoch: [16][8060/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6532 (2.6084) Prec@1 31.875 (36.756) Prec@5 66.250 (67.416) Epoch: [16][8070/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.2631 (2.6083) Prec@1 46.875 (36.757) Prec@5 76.875 (67.417) Epoch: [16][8080/11272] Time 0.831 (0.807) Data 0.002 (0.002) Loss 2.6045 (2.6083) Prec@1 33.750 (36.758) Prec@5 68.750 (67.417) Epoch: [16][8090/11272] Time 0.774 (0.807) Data 0.004 (0.002) Loss 2.9073 (2.6084) Prec@1 31.875 (36.757) Prec@5 63.125 (67.417) Epoch: [16][8100/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.6944 (2.6084) Prec@1 33.125 (36.757) Prec@5 65.000 (67.415) Epoch: [16][8110/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.5548 (2.6083) Prec@1 38.750 (36.759) Prec@5 69.375 (67.415) Epoch: [16][8120/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.9816 (2.6083) Prec@1 32.500 (36.760) Prec@5 60.000 (67.415) Epoch: [16][8130/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.7124 (2.6083) Prec@1 31.250 (36.762) Prec@5 64.375 (67.413) Epoch: [16][8140/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.5087 (2.6083) Prec@1 33.750 (36.761) Prec@5 68.750 (67.412) Epoch: [16][8150/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.5809 (2.6083) Prec@1 38.125 (36.761) Prec@5 68.125 (67.411) Epoch: [16][8160/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.8380 (2.6084) Prec@1 31.250 (36.761) Prec@5 65.000 (67.410) Epoch: [16][8170/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.4609 (2.6084) Prec@1 40.000 (36.760) Prec@5 69.375 (67.410) Epoch: [16][8180/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6278 (2.6084) Prec@1 33.125 (36.761) Prec@5 64.375 (67.409) Epoch: [16][8190/11272] Time 0.882 (0.807) Data 0.001 (0.002) Loss 2.7314 (2.6083) Prec@1 33.125 (36.762) Prec@5 65.625 (67.409) Epoch: [16][8200/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.7750 (2.6083) Prec@1 33.750 (36.764) Prec@5 67.500 (67.412) Epoch: [16][8210/11272] Time 0.759 (0.807) Data 0.002 (0.002) Loss 2.5527 (2.6083) Prec@1 30.625 (36.761) Prec@5 67.500 (67.410) Epoch: [16][8220/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.5716 (2.6083) Prec@1 36.875 (36.762) Prec@5 69.375 (67.411) Epoch: [16][8230/11272] Time 0.887 (0.807) Data 0.001 (0.002) Loss 2.4901 (2.6082) Prec@1 40.625 (36.762) Prec@5 66.250 (67.412) Epoch: [16][8240/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.7821 (2.6083) Prec@1 35.625 (36.762) Prec@5 63.125 (67.410) Epoch: [16][8250/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.6374 (2.6083) Prec@1 39.375 (36.764) Prec@5 66.250 (67.411) Epoch: [16][8260/11272] Time 0.827 (0.807) Data 0.001 (0.002) Loss 2.3704 (2.6082) Prec@1 39.375 (36.763) Prec@5 73.750 (67.413) Epoch: [16][8270/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.5081 (2.6083) Prec@1 39.375 (36.762) Prec@5 71.250 (67.411) Epoch: [16][8280/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.4565 (2.6083) Prec@1 41.250 (36.761) Prec@5 77.500 (67.412) Epoch: [16][8290/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.8779 (2.6082) Prec@1 30.625 (36.762) Prec@5 57.500 (67.412) Epoch: [16][8300/11272] Time 0.874 (0.807) Data 0.001 (0.002) Loss 2.5208 (2.6083) Prec@1 43.125 (36.762) Prec@5 65.000 (67.412) Epoch: [16][8310/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 2.3940 (2.6082) Prec@1 34.375 (36.763) Prec@5 71.250 (67.414) Epoch: [16][8320/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6729 (2.6083) Prec@1 31.250 (36.761) Prec@5 65.625 (67.412) Epoch: [16][8330/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.6913 (2.6083) Prec@1 33.750 (36.760) Prec@5 68.750 (67.411) Epoch: [16][8340/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.6228 (2.6083) Prec@1 36.250 (36.760) Prec@5 67.500 (67.412) Epoch: [16][8350/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 2.3638 (2.6083) Prec@1 41.250 (36.760) Prec@5 70.625 (67.413) Epoch: [16][8360/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.9135 (2.6083) Prec@1 36.250 (36.758) Prec@5 61.875 (67.414) Epoch: [16][8370/11272] Time 0.908 (0.807) Data 0.001 (0.002) Loss 3.0685 (2.6084) Prec@1 28.750 (36.759) Prec@5 61.250 (67.414) Epoch: [16][8380/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.5240 (2.6084) Prec@1 38.125 (36.756) Prec@5 68.750 (67.413) Epoch: [16][8390/11272] Time 0.759 (0.807) Data 0.001 (0.002) Loss 2.3589 (2.6084) Prec@1 39.375 (36.754) Prec@5 73.125 (67.413) Epoch: [16][8400/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.9926 (2.6085) Prec@1 28.125 (36.752) Prec@5 63.750 (67.412) Epoch: [16][8410/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.5424 (2.6085) Prec@1 36.250 (36.750) Prec@5 70.000 (67.413) Epoch: [16][8420/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.3205 (2.6086) Prec@1 45.000 (36.749) Prec@5 75.000 (67.411) Epoch: [16][8430/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.8222 (2.6086) Prec@1 35.625 (36.747) Prec@5 60.625 (67.409) Epoch: [16][8440/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.3475 (2.6087) Prec@1 43.125 (36.744) Prec@5 73.750 (67.407) Epoch: [16][8450/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5506 (2.6087) Prec@1 38.750 (36.745) Prec@5 66.875 (67.407) Epoch: [16][8460/11272] Time 0.829 (0.807) Data 0.002 (0.002) Loss 2.7465 (2.6087) Prec@1 36.250 (36.744) Prec@5 66.875 (67.407) Epoch: [16][8470/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.8069 (2.6088) Prec@1 30.000 (36.745) Prec@5 65.625 (67.406) Epoch: [16][8480/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.7459 (2.6089) Prec@1 36.875 (36.743) Prec@5 63.750 (67.404) Epoch: [16][8490/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.6091 (2.6089) Prec@1 32.500 (36.741) Prec@5 64.375 (67.404) Epoch: [16][8500/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5750 (2.6089) Prec@1 36.875 (36.742) Prec@5 67.500 (67.402) Epoch: [16][8510/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6763 (2.6089) Prec@1 32.500 (36.743) Prec@5 70.625 (67.402) Epoch: [16][8520/11272] Time 0.835 (0.807) Data 0.001 (0.002) Loss 2.5026 (2.6089) Prec@1 33.125 (36.740) Prec@5 69.375 (67.402) Epoch: [16][8530/11272] Time 0.827 (0.807) Data 0.002 (0.002) Loss 2.7022 (2.6090) Prec@1 37.500 (36.739) Prec@5 64.375 (67.400) Epoch: [16][8540/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6591 (2.6090) Prec@1 37.500 (36.739) Prec@5 64.375 (67.400) Epoch: [16][8550/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.6600 (2.6090) Prec@1 37.500 (36.738) Prec@5 67.500 (67.400) Epoch: [16][8560/11272] Time 0.860 (0.807) Data 0.001 (0.002) Loss 2.4414 (2.6090) Prec@1 36.875 (36.738) Prec@5 71.875 (67.402) Epoch: [16][8570/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.6116 (2.6090) Prec@1 36.250 (36.739) Prec@5 72.500 (67.401) Epoch: [16][8580/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6704 (2.6090) Prec@1 33.125 (36.739) Prec@5 70.625 (67.403) Epoch: [16][8590/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.9025 (2.6089) Prec@1 31.875 (36.741) Prec@5 60.000 (67.404) Epoch: [16][8600/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.7666 (2.6090) Prec@1 35.000 (36.741) Prec@5 63.125 (67.401) Epoch: [16][8610/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.3423 (2.6090) Prec@1 40.000 (36.740) Prec@5 71.875 (67.401) Epoch: [16][8620/11272] Time 0.707 (0.807) Data 0.001 (0.002) Loss 2.6494 (2.6089) Prec@1 36.250 (36.741) Prec@5 67.500 (67.403) Epoch: [16][8630/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.6749 (2.6089) Prec@1 39.375 (36.741) Prec@5 61.875 (67.402) Epoch: [16][8640/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.5280 (2.6089) Prec@1 41.250 (36.741) Prec@5 68.750 (67.402) Epoch: [16][8650/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.4434 (2.6089) Prec@1 40.625 (36.740) Prec@5 71.250 (67.403) Epoch: [16][8660/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.6348 (2.6090) Prec@1 35.000 (36.740) Prec@5 68.750 (67.401) Epoch: [16][8670/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6666 (2.6090) Prec@1 40.000 (36.738) Prec@5 65.000 (67.402) Epoch: [16][8680/11272] Time 0.919 (0.807) Data 0.002 (0.002) Loss 2.7371 (2.6090) Prec@1 34.375 (36.738) Prec@5 65.000 (67.403) Epoch: [16][8690/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.3840 (2.6089) Prec@1 45.625 (36.740) Prec@5 70.000 (67.406) Epoch: [16][8700/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.6460 (2.6090) Prec@1 36.875 (36.736) Prec@5 67.500 (67.403) Epoch: [16][8710/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.6994 (2.6090) Prec@1 38.750 (36.736) Prec@5 67.500 (67.404) Epoch: [16][8720/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.5696 (2.6090) Prec@1 36.250 (36.738) Prec@5 67.500 (67.406) Epoch: [16][8730/11272] Time 0.776 (0.807) Data 0.001 (0.002) Loss 2.6414 (2.6090) Prec@1 33.125 (36.735) Prec@5 63.750 (67.406) Epoch: [16][8740/11272] Time 0.769 (0.807) Data 0.001 (0.002) Loss 2.6736 (2.6090) Prec@1 33.125 (36.734) Prec@5 65.000 (67.408) Epoch: [16][8750/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.4840 (2.6090) Prec@1 39.375 (36.732) Prec@5 66.250 (67.406) Epoch: [16][8760/11272] Time 0.757 (0.807) Data 0.004 (0.002) Loss 2.5805 (2.6090) Prec@1 36.250 (36.733) Prec@5 67.500 (67.406) Epoch: [16][8770/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5582 (2.6091) Prec@1 40.000 (36.733) Prec@5 64.375 (67.404) Epoch: [16][8780/11272] Time 0.917 (0.807) Data 0.001 (0.002) Loss 2.7907 (2.6091) Prec@1 36.250 (36.734) Prec@5 61.875 (67.405) Epoch: [16][8790/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.9988 (2.6091) Prec@1 32.500 (36.732) Prec@5 61.250 (67.405) Epoch: [16][8800/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.5033 (2.6091) Prec@1 38.125 (36.733) Prec@5 72.500 (67.407) Epoch: [16][8810/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6433 (2.6091) Prec@1 37.500 (36.733) Prec@5 68.125 (67.407) Epoch: [16][8820/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.4615 (2.6091) Prec@1 36.250 (36.733) Prec@5 68.125 (67.408) Epoch: [16][8830/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.5724 (2.6091) Prec@1 33.750 (36.734) Prec@5 68.125 (67.408) Epoch: [16][8840/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.8499 (2.6092) Prec@1 34.375 (36.733) Prec@5 63.125 (67.407) Epoch: [16][8850/11272] Time 0.700 (0.807) Data 0.001 (0.002) Loss 2.4468 (2.6092) Prec@1 40.000 (36.734) Prec@5 66.875 (67.406) Epoch: [16][8860/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.6834 (2.6092) Prec@1 37.500 (36.733) Prec@5 65.625 (67.407) Epoch: [16][8870/11272] Time 0.837 (0.807) Data 0.003 (0.002) Loss 2.4046 (2.6091) Prec@1 40.625 (36.732) Prec@5 69.375 (67.408) Epoch: [16][8880/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.5246 (2.6091) Prec@1 37.500 (36.732) Prec@5 68.750 (67.409) Epoch: [16][8890/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.6509 (2.6091) Prec@1 35.625 (36.730) Prec@5 72.500 (67.407) Epoch: [16][8900/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.5790 (2.6091) Prec@1 33.750 (36.732) Prec@5 68.125 (67.407) Epoch: [16][8910/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.3268 (2.6091) Prec@1 45.000 (36.731) Prec@5 71.875 (67.407) Epoch: [16][8920/11272] Time 0.762 (0.807) Data 0.001 (0.002) Loss 2.4422 (2.6091) Prec@1 38.750 (36.730) Prec@5 70.625 (67.406) Epoch: [16][8930/11272] Time 0.880 (0.807) Data 0.001 (0.002) Loss 2.5050 (2.6092) Prec@1 35.000 (36.730) Prec@5 73.750 (67.407) Epoch: [16][8940/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.4682 (2.6091) Prec@1 35.625 (36.730) Prec@5 66.250 (67.406) Epoch: [16][8950/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.3013 (2.6091) Prec@1 43.750 (36.730) Prec@5 75.625 (67.406) Epoch: [16][8960/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.3161 (2.6091) Prec@1 42.500 (36.730) Prec@5 72.500 (67.407) Epoch: [16][8970/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.3511 (2.6091) Prec@1 43.125 (36.732) Prec@5 74.375 (67.408) Epoch: [16][8980/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.4096 (2.6090) Prec@1 41.875 (36.733) Prec@5 68.750 (67.411) Epoch: [16][8990/11272] Time 0.761 (0.807) Data 0.001 (0.002) Loss 2.7497 (2.6091) Prec@1 31.875 (36.731) Prec@5 65.625 (67.409) Epoch: [16][9000/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5188 (2.6091) Prec@1 35.625 (36.729) Prec@5 65.625 (67.410) Epoch: [16][9010/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.4176 (2.6091) Prec@1 39.375 (36.727) Prec@5 71.250 (67.408) Epoch: [16][9020/11272] Time 0.774 (0.807) Data 0.004 (0.002) Loss 2.6249 (2.6091) Prec@1 35.625 (36.728) Prec@5 66.250 (67.409) Epoch: [16][9030/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7347 (2.6091) Prec@1 35.625 (36.727) Prec@5 64.375 (67.408) Epoch: [16][9040/11272] Time 0.809 (0.807) Data 0.001 (0.002) Loss 2.5171 (2.6090) Prec@1 38.125 (36.727) Prec@5 67.500 (67.409) Epoch: [16][9050/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.3811 (2.6088) Prec@1 45.000 (36.730) Prec@5 72.500 (67.411) Epoch: [16][9060/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.6542 (2.6089) Prec@1 32.500 (36.727) Prec@5 68.125 (67.411) Epoch: [16][9070/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6902 (2.6089) Prec@1 37.500 (36.728) Prec@5 64.375 (67.412) Epoch: [16][9080/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.4195 (2.6089) Prec@1 40.000 (36.728) Prec@5 68.750 (67.412) Epoch: [16][9090/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.7154 (2.6088) Prec@1 30.000 (36.726) Prec@5 66.250 (67.414) Epoch: [16][9100/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.6780 (2.6088) Prec@1 37.500 (36.725) Prec@5 65.000 (67.415) Epoch: [16][9110/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.3128 (2.6087) Prec@1 47.500 (36.728) Prec@5 75.000 (67.417) Epoch: [16][9120/11272] Time 0.856 (0.807) Data 0.001 (0.002) Loss 2.7924 (2.6088) Prec@1 34.375 (36.726) Prec@5 61.875 (67.417) Epoch: [16][9130/11272] Time 0.868 (0.807) Data 0.003 (0.002) Loss 2.5490 (2.6088) Prec@1 37.500 (36.726) Prec@5 69.375 (67.416) Epoch: [16][9140/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7244 (2.6089) Prec@1 31.250 (36.725) Prec@5 67.500 (67.414) Epoch: [16][9150/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 2.6731 (2.6088) Prec@1 38.750 (36.726) Prec@5 66.875 (67.413) Epoch: [16][9160/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.5464 (2.6089) Prec@1 36.875 (36.724) Prec@5 68.750 (67.413) Epoch: [16][9170/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 2.9638 (2.6090) Prec@1 31.250 (36.722) Prec@5 60.625 (67.411) Epoch: [16][9180/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.4823 (2.6089) Prec@1 38.125 (36.724) Prec@5 72.500 (67.414) Epoch: [16][9190/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.5948 (2.6089) Prec@1 35.625 (36.723) Prec@5 68.750 (67.413) Epoch: [16][9200/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.6941 (2.6089) Prec@1 35.625 (36.723) Prec@5 69.375 (67.412) Epoch: [16][9210/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.4969 (2.6089) Prec@1 40.000 (36.723) Prec@5 64.375 (67.411) Epoch: [16][9220/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.4699 (2.6089) Prec@1 37.500 (36.723) Prec@5 70.625 (67.411) Epoch: [16][9230/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.4910 (2.6089) Prec@1 44.375 (36.725) Prec@5 71.250 (67.411) Epoch: [16][9240/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.8585 (2.6089) Prec@1 32.500 (36.724) Prec@5 59.375 (67.412) Epoch: [16][9250/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6723 (2.6090) Prec@1 35.000 (36.722) Prec@5 66.875 (67.410) Epoch: [16][9260/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6398 (2.6090) Prec@1 37.500 (36.723) Prec@5 65.000 (67.410) Epoch: [16][9270/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.6603 (2.6090) Prec@1 36.250 (36.723) Prec@5 66.875 (67.411) Epoch: [16][9280/11272] Time 0.826 (0.807) Data 0.001 (0.002) Loss 2.4796 (2.6090) Prec@1 39.375 (36.723) Prec@5 68.750 (67.411) Epoch: [16][9290/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.9057 (2.6091) Prec@1 31.875 (36.722) Prec@5 60.625 (67.407) Epoch: [16][9300/11272] Time 0.830 (0.807) Data 0.001 (0.002) Loss 2.5950 (2.6091) Prec@1 33.750 (36.721) Prec@5 68.750 (67.407) Epoch: [16][9310/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.7750 (2.6091) Prec@1 36.250 (36.723) Prec@5 63.125 (67.406) Epoch: [16][9320/11272] Time 0.762 (0.807) Data 0.001 (0.002) Loss 2.4024 (2.6091) Prec@1 41.875 (36.724) Prec@5 68.750 (67.406) Epoch: [16][9330/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.5339 (2.6090) Prec@1 35.000 (36.723) Prec@5 68.750 (67.407) Epoch: [16][9340/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.3866 (2.6089) Prec@1 41.875 (36.724) Prec@5 68.125 (67.408) Epoch: [16][9350/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.5308 (2.6089) Prec@1 45.625 (36.726) Prec@5 70.625 (67.409) Epoch: [16][9360/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7951 (2.6090) Prec@1 35.000 (36.723) Prec@5 63.750 (67.410) Epoch: [16][9370/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6545 (2.6091) Prec@1 32.500 (36.720) Prec@5 61.875 (67.407) Epoch: [16][9380/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.6170 (2.6090) Prec@1 41.875 (36.721) Prec@5 65.625 (67.409) Epoch: [16][9390/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6732 (2.6091) Prec@1 38.750 (36.721) Prec@5 69.375 (67.409) Epoch: [16][9400/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.5205 (2.6091) Prec@1 35.000 (36.720) Prec@5 71.250 (67.408) Epoch: [16][9410/11272] Time 0.762 (0.807) Data 0.001 (0.002) Loss 3.0728 (2.6090) Prec@1 30.000 (36.721) Prec@5 58.125 (67.409) Epoch: [16][9420/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.6652 (2.6091) Prec@1 39.375 (36.721) Prec@5 66.250 (67.407) Epoch: [16][9430/11272] Time 0.775 (0.807) Data 0.002 (0.002) Loss 2.7798 (2.6091) Prec@1 31.875 (36.721) Prec@5 66.250 (67.406) Epoch: [16][9440/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.7916 (2.6092) Prec@1 35.000 (36.719) Prec@5 66.875 (67.403) Epoch: [16][9450/11272] Time 0.876 (0.807) Data 0.001 (0.002) Loss 2.8106 (2.6093) Prec@1 36.250 (36.718) Prec@5 65.000 (67.402) Epoch: [16][9460/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.8551 (2.6092) Prec@1 31.250 (36.720) Prec@5 59.375 (67.402) Epoch: [16][9470/11272] Time 0.713 (0.807) Data 0.002 (0.002) Loss 2.9255 (2.6093) Prec@1 28.750 (36.719) Prec@5 61.250 (67.399) Epoch: [16][9480/11272] Time 0.782 (0.807) Data 0.002 (0.002) Loss 2.7353 (2.6094) Prec@1 33.750 (36.718) Prec@5 64.375 (67.397) Epoch: [16][9490/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 2.5508 (2.6094) Prec@1 40.625 (36.719) Prec@5 71.250 (67.398) Epoch: [16][9500/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.7861 (2.6093) Prec@1 31.875 (36.720) Prec@5 61.250 (67.399) Epoch: [16][9510/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.7410 (2.6094) Prec@1 38.750 (36.722) Prec@5 66.875 (67.399) Epoch: [16][9520/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.7161 (2.6094) Prec@1 32.500 (36.721) Prec@5 63.750 (67.397) Epoch: [16][9530/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.5212 (2.6094) Prec@1 40.625 (36.721) Prec@5 66.875 (67.397) Epoch: [16][9540/11272] Time 0.824 (0.807) Data 0.001 (0.002) Loss 2.4787 (2.6094) Prec@1 36.250 (36.721) Prec@5 68.750 (67.398) Epoch: [16][9550/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4308 (2.6093) Prec@1 36.250 (36.722) Prec@5 71.250 (67.399) Epoch: [16][9560/11272] Time 0.884 (0.807) Data 0.001 (0.002) Loss 2.6771 (2.6093) Prec@1 37.500 (36.721) Prec@5 69.375 (67.399) Epoch: [16][9570/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6946 (2.6093) Prec@1 33.750 (36.722) Prec@5 66.875 (67.398) Epoch: [16][9580/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4010 (2.6093) Prec@1 36.250 (36.722) Prec@5 73.125 (67.398) Epoch: [16][9590/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.3208 (2.6093) Prec@1 46.250 (36.723) Prec@5 69.375 (67.399) Epoch: [16][9600/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5292 (2.6094) Prec@1 34.375 (36.722) Prec@5 70.000 (67.398) Epoch: [16][9610/11272] Time 0.869 (0.807) Data 0.001 (0.002) Loss 2.9505 (2.6094) Prec@1 30.000 (36.720) Prec@5 61.875 (67.396) Epoch: [16][9620/11272] Time 0.773 (0.807) Data 0.001 (0.002) Loss 2.4810 (2.6095) Prec@1 37.500 (36.719) Prec@5 72.500 (67.394) Epoch: [16][9630/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5173 (2.6094) Prec@1 36.250 (36.719) Prec@5 71.875 (67.394) Epoch: [16][9640/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.6361 (2.6095) Prec@1 38.125 (36.718) Prec@5 63.125 (67.394) Epoch: [16][9650/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5017 (2.6095) Prec@1 30.000 (36.716) Prec@5 70.625 (67.393) Epoch: [16][9660/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.6701 (2.6096) Prec@1 34.375 (36.715) Prec@5 70.000 (67.394) Epoch: [16][9670/11272] Time 0.811 (0.807) Data 0.002 (0.002) Loss 2.7888 (2.6097) Prec@1 33.125 (36.715) Prec@5 62.500 (67.392) Epoch: [16][9680/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.3939 (2.6098) Prec@1 37.500 (36.712) Prec@5 71.875 (67.390) Epoch: [16][9690/11272] Time 0.774 (0.807) Data 0.004 (0.002) Loss 2.7232 (2.6099) Prec@1 37.500 (36.712) Prec@5 66.250 (67.388) Epoch: [16][9700/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5415 (2.6099) Prec@1 38.750 (36.712) Prec@5 64.375 (67.388) Epoch: [16][9710/11272] Time 0.924 (0.807) Data 0.002 (0.002) Loss 2.6243 (2.6100) Prec@1 31.875 (36.710) Prec@5 69.375 (67.387) Epoch: [16][9720/11272] Time 0.910 (0.807) Data 0.003 (0.002) Loss 2.6692 (2.6101) Prec@1 36.875 (36.706) Prec@5 65.000 (67.385) Epoch: [16][9730/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.8369 (2.6102) Prec@1 35.000 (36.704) Prec@5 61.250 (67.383) Epoch: [16][9740/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.8940 (2.6102) Prec@1 28.750 (36.703) Prec@5 60.625 (67.382) Epoch: [16][9750/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.6828 (2.6103) Prec@1 31.250 (36.701) Prec@5 70.000 (67.382) Epoch: [16][9760/11272] Time 0.865 (0.807) Data 0.001 (0.002) Loss 2.6917 (2.6103) Prec@1 41.250 (36.701) Prec@5 67.500 (67.381) Epoch: [16][9770/11272] Time 0.753 (0.807) Data 0.001 (0.002) Loss 2.5331 (2.6103) Prec@1 40.000 (36.699) Prec@5 66.250 (67.382) Epoch: [16][9780/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.6607 (2.6103) Prec@1 34.375 (36.700) Prec@5 64.375 (67.382) Epoch: [16][9790/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.2485 (2.6102) Prec@1 48.750 (36.702) Prec@5 73.125 (67.382) Epoch: [16][9800/11272] Time 0.837 (0.807) Data 0.002 (0.002) Loss 2.5613 (2.6102) Prec@1 38.125 (36.703) Prec@5 67.500 (67.382) Epoch: [16][9810/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.6498 (2.6102) Prec@1 38.125 (36.703) Prec@5 68.750 (67.381) Epoch: [16][9820/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.5457 (2.6101) Prec@1 38.750 (36.706) Prec@5 68.750 (67.384) Epoch: [16][9830/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.7656 (2.6101) Prec@1 30.000 (36.705) Prec@5 63.750 (67.383) Epoch: [16][9840/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.9650 (2.6101) Prec@1 30.625 (36.707) Prec@5 61.250 (67.383) Epoch: [16][9850/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.5566 (2.6102) Prec@1 36.250 (36.705) Prec@5 66.250 (67.382) Epoch: [16][9860/11272] Time 0.809 (0.807) Data 0.001 (0.002) Loss 2.4160 (2.6102) Prec@1 41.875 (36.704) Prec@5 69.375 (67.382) Epoch: [16][9870/11272] Time 0.832 (0.807) Data 0.001 (0.002) Loss 2.4277 (2.6101) Prec@1 39.375 (36.705) Prec@5 72.500 (67.382) Epoch: [16][9880/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.8857 (2.6102) Prec@1 34.375 (36.706) Prec@5 66.875 (67.382) Epoch: [16][9890/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.6672 (2.6102) Prec@1 35.625 (36.707) Prec@5 65.625 (67.381) Epoch: [16][9900/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 2.7808 (2.6103) Prec@1 37.500 (36.706) Prec@5 65.625 (67.379) Epoch: [16][9910/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5682 (2.6103) Prec@1 35.625 (36.704) Prec@5 64.375 (67.378) Epoch: [16][9920/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6593 (2.6103) Prec@1 37.500 (36.704) Prec@5 67.500 (67.379) Epoch: [16][9930/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.5213 (2.6103) Prec@1 38.750 (36.703) Prec@5 68.125 (67.378) Epoch: [16][9940/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.4247 (2.6103) Prec@1 36.875 (36.703) Prec@5 72.500 (67.377) Epoch: [16][9950/11272] Time 0.769 (0.807) Data 0.003 (0.002) Loss 2.6288 (2.6102) Prec@1 33.125 (36.702) Prec@5 66.250 (67.379) Epoch: [16][9960/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.6899 (2.6102) Prec@1 34.375 (36.702) Prec@5 65.625 (67.379) Epoch: [16][9970/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.8466 (2.6103) Prec@1 33.125 (36.701) Prec@5 61.875 (67.378) Epoch: [16][9980/11272] Time 1.022 (0.807) Data 0.002 (0.002) Loss 2.6424 (2.6103) Prec@1 33.125 (36.701) Prec@5 63.125 (67.378) Epoch: [16][9990/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4490 (2.6102) Prec@1 43.750 (36.703) Prec@5 72.500 (67.380) Epoch: [16][10000/11272] Time 0.803 (0.807) Data 0.002 (0.002) Loss 2.4456 (2.6102) Prec@1 35.000 (36.702) Prec@5 73.750 (67.381) Epoch: [16][10010/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.2498 (2.6102) Prec@1 44.375 (36.703) Prec@5 73.125 (67.380) Epoch: [16][10020/11272] Time 0.897 (0.807) Data 0.001 (0.002) Loss 2.4731 (2.6102) Prec@1 42.500 (36.702) Prec@5 70.625 (67.380) Epoch: [16][10030/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.8215 (2.6103) Prec@1 35.000 (36.701) Prec@5 65.625 (67.379) Epoch: [16][10040/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.2695 (2.6103) Prec@1 41.875 (36.700) Prec@5 76.875 (67.380) Epoch: [16][10050/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.5375 (2.6104) Prec@1 36.875 (36.698) Prec@5 68.125 (67.378) Epoch: [16][10060/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.7492 (2.6103) Prec@1 31.875 (36.700) Prec@5 68.750 (67.379) Epoch: [16][10070/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.4474 (2.6103) Prec@1 41.250 (36.700) Prec@5 71.875 (67.380) Epoch: [16][10080/11272] Time 0.889 (0.807) Data 0.001 (0.002) Loss 2.6810 (2.6103) Prec@1 38.125 (36.700) Prec@5 65.625 (67.380) Epoch: [16][10090/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.6970 (2.6103) Prec@1 38.125 (36.699) Prec@5 65.000 (67.381) Epoch: [16][10100/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.7135 (2.6103) Prec@1 28.125 (36.699) Prec@5 66.875 (67.380) Epoch: [16][10110/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7269 (2.6103) Prec@1 38.750 (36.698) Prec@5 66.250 (67.381) Epoch: [16][10120/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.7540 (2.6103) Prec@1 34.375 (36.698) Prec@5 65.000 (67.381) Epoch: [16][10130/11272] Time 0.880 (0.807) Data 0.001 (0.002) Loss 2.6283 (2.6102) Prec@1 33.750 (36.700) Prec@5 67.500 (67.382) Epoch: [16][10140/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.4121 (2.6102) Prec@1 39.375 (36.702) Prec@5 70.625 (67.383) Epoch: [16][10150/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 3.0814 (2.6102) Prec@1 32.500 (36.701) Prec@5 61.875 (67.383) Epoch: [16][10160/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.8116 (2.6102) Prec@1 35.625 (36.702) Prec@5 65.625 (67.383) Epoch: [16][10170/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.8097 (2.6103) Prec@1 38.750 (36.701) Prec@5 61.875 (67.380) Epoch: [16][10180/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.7686 (2.6103) Prec@1 28.750 (36.700) Prec@5 63.125 (67.380) Epoch: [16][10190/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6529 (2.6102) Prec@1 36.875 (36.701) Prec@5 63.125 (67.381) Epoch: [16][10200/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.4375 (2.6103) Prec@1 37.500 (36.700) Prec@5 73.125 (67.381) Epoch: [16][10210/11272] Time 0.921 (0.807) Data 0.002 (0.002) Loss 2.7805 (2.6103) Prec@1 33.750 (36.700) Prec@5 58.750 (67.378) Epoch: [16][10220/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.5167 (2.6102) Prec@1 42.500 (36.701) Prec@5 63.125 (67.379) Epoch: [16][10230/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 2.9925 (2.6103) Prec@1 28.750 (36.699) Prec@5 58.750 (67.377) Epoch: [16][10240/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.6816 (2.6103) Prec@1 42.500 (36.701) Prec@5 63.750 (67.377) Epoch: [16][10250/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.8230 (2.6103) Prec@1 36.875 (36.702) Prec@5 62.500 (67.377) Epoch: [16][10260/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.7125 (2.6104) Prec@1 39.375 (36.702) Prec@5 67.500 (67.375) Epoch: [16][10270/11272] Time 0.817 (0.807) Data 0.001 (0.002) Loss 2.4216 (2.6102) Prec@1 35.000 (36.702) Prec@5 71.250 (67.377) Epoch: [16][10280/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.6286 (2.6101) Prec@1 34.375 (36.705) Prec@5 65.625 (67.379) Epoch: [16][10290/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7115 (2.6101) Prec@1 37.500 (36.705) Prec@5 68.750 (67.380) Epoch: [16][10300/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.5560 (2.6100) Prec@1 38.125 (36.706) Prec@5 65.625 (67.381) Epoch: [16][10310/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.7231 (2.6101) Prec@1 39.375 (36.706) Prec@5 65.625 (67.381) Epoch: [16][10320/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.7245 (2.6101) Prec@1 41.875 (36.708) Prec@5 64.375 (67.381) Epoch: [16][10330/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.4519 (2.6100) Prec@1 37.500 (36.708) Prec@5 69.375 (67.382) Epoch: [16][10340/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.5934 (2.6101) Prec@1 37.500 (36.708) Prec@5 71.875 (67.383) Epoch: [16][10350/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.7801 (2.6100) Prec@1 34.375 (36.710) Prec@5 63.125 (67.384) Epoch: [16][10360/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.7365 (2.6101) Prec@1 36.250 (36.709) Prec@5 65.625 (67.381) Epoch: [16][10370/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.6684 (2.6100) Prec@1 37.500 (36.709) Prec@5 65.000 (67.382) Epoch: [16][10380/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.6691 (2.6101) Prec@1 28.125 (36.705) Prec@5 64.375 (67.378) Epoch: [16][10390/11272] Time 0.938 (0.807) Data 0.002 (0.002) Loss 2.6877 (2.6101) Prec@1 31.875 (36.704) Prec@5 68.125 (67.378) Epoch: [16][10400/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.7750 (2.6102) Prec@1 33.125 (36.703) Prec@5 65.625 (67.378) Epoch: [16][10410/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.5313 (2.6102) Prec@1 41.250 (36.703) Prec@5 70.000 (67.377) Epoch: [16][10420/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.5701 (2.6102) Prec@1 38.125 (36.705) Prec@5 66.250 (67.378) Epoch: [16][10430/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.7033 (2.6102) Prec@1 36.875 (36.708) Prec@5 68.750 (67.378) Epoch: [16][10440/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.5215 (2.6102) Prec@1 41.875 (36.708) Prec@5 73.125 (67.379) Epoch: [16][10450/11272] Time 0.769 (0.807) Data 0.003 (0.002) Loss 2.5219 (2.6103) Prec@1 36.250 (36.707) Prec@5 65.625 (67.378) Epoch: [16][10460/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.4179 (2.6103) Prec@1 39.375 (36.707) Prec@5 70.000 (67.378) Epoch: [16][10470/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.8389 (2.6103) Prec@1 31.250 (36.708) Prec@5 61.250 (67.379) Epoch: [16][10480/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.5555 (2.6103) Prec@1 39.375 (36.708) Prec@5 69.375 (67.378) Epoch: [16][10490/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.1039 (2.6102) Prec@1 43.750 (36.709) Prec@5 76.250 (67.380) Epoch: [16][10500/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.7805 (2.6103) Prec@1 35.625 (36.709) Prec@5 62.500 (67.379) Epoch: [16][10510/11272] Time 0.780 (0.807) Data 0.002 (0.002) Loss 2.6024 (2.6103) Prec@1 36.875 (36.709) Prec@5 65.625 (67.378) Epoch: [16][10520/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.5575 (2.6103) Prec@1 33.750 (36.710) Prec@5 69.375 (67.379) Epoch: [16][10530/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6309 (2.6103) Prec@1 38.750 (36.711) Prec@5 63.750 (67.379) Epoch: [16][10540/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.6129 (2.6104) Prec@1 40.625 (36.710) Prec@5 67.500 (67.378) Epoch: [16][10550/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 3.0971 (2.6104) Prec@1 27.500 (36.709) Prec@5 60.000 (67.378) Epoch: [16][10560/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5756 (2.6103) Prec@1 39.375 (36.710) Prec@5 66.875 (67.379) Epoch: [16][10570/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.7402 (2.6104) Prec@1 38.750 (36.712) Prec@5 65.625 (67.379) Epoch: [16][10580/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.5339 (2.6103) Prec@1 36.250 (36.713) Prec@5 70.000 (67.379) Epoch: [16][10590/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.8467 (2.6104) Prec@1 36.250 (36.713) Prec@5 65.000 (67.378) Epoch: [16][10600/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5629 (2.6104) Prec@1 33.750 (36.712) Prec@5 66.875 (67.377) Epoch: [16][10610/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 2.8268 (2.6105) Prec@1 31.875 (36.712) Prec@5 63.750 (67.378) Epoch: [16][10620/11272] Time 0.769 (0.807) Data 0.003 (0.002) Loss 2.5659 (2.6105) Prec@1 38.125 (36.712) Prec@5 66.250 (67.378) Epoch: [16][10630/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3888 (2.6104) Prec@1 40.625 (36.712) Prec@5 71.875 (67.380) Epoch: [16][10640/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.3803 (2.6103) Prec@1 43.750 (36.714) Prec@5 70.625 (67.381) Epoch: [16][10650/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.7225 (2.6103) Prec@1 35.625 (36.714) Prec@5 69.375 (67.381) Epoch: [16][10660/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.6643 (2.6103) Prec@1 34.375 (36.714) Prec@5 67.500 (67.380) Epoch: [16][10670/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.7899 (2.6103) Prec@1 36.875 (36.715) Prec@5 61.875 (67.380) Epoch: [16][10680/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.6387 (2.6103) Prec@1 35.625 (36.716) Prec@5 65.000 (67.379) Epoch: [16][10690/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.7093 (2.6102) Prec@1 35.625 (36.716) Prec@5 64.375 (67.379) Epoch: [16][10700/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7430 (2.6103) Prec@1 36.875 (36.714) Prec@5 66.875 (67.377) Epoch: [16][10710/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.5673 (2.6102) Prec@1 38.750 (36.716) Prec@5 68.750 (67.378) Epoch: [16][10720/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.4093 (2.6102) Prec@1 40.000 (36.717) Prec@5 73.125 (67.380) Epoch: [16][10730/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.6846 (2.6103) Prec@1 35.625 (36.716) Prec@5 66.875 (67.379) Epoch: [16][10740/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6586 (2.6103) Prec@1 32.500 (36.713) Prec@5 65.625 (67.377) Epoch: [16][10750/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 2.7769 (2.6104) Prec@1 34.375 (36.712) Prec@5 61.875 (67.377) Epoch: [16][10760/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.6568 (2.6103) Prec@1 33.125 (36.713) Prec@5 65.000 (67.377) Epoch: [16][10770/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.5628 (2.6104) Prec@1 40.625 (36.713) Prec@5 70.625 (67.376) Epoch: [16][10780/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.4037 (2.6103) Prec@1 40.000 (36.713) Prec@5 72.500 (67.377) Epoch: [16][10790/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.2782 (2.6103) Prec@1 43.750 (36.713) Prec@5 77.500 (67.377) Epoch: [16][10800/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.6866 (2.6103) Prec@1 37.500 (36.714) Prec@5 63.750 (67.376) Epoch: [16][10810/11272] Time 0.786 (0.807) Data 0.001 (0.002) Loss 2.7413 (2.6105) Prec@1 32.500 (36.711) Prec@5 63.125 (67.374) Epoch: [16][10820/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.5577 (2.6105) Prec@1 36.875 (36.710) Prec@5 71.250 (67.373) Epoch: [16][10830/11272] Time 0.931 (0.807) Data 0.002 (0.002) Loss 2.5595 (2.6105) Prec@1 33.750 (36.710) Prec@5 66.875 (67.373) Epoch: [16][10840/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.8002 (2.6106) Prec@1 35.625 (36.709) Prec@5 65.625 (67.373) Epoch: [16][10850/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.6668 (2.6106) Prec@1 36.875 (36.710) Prec@5 64.375 (67.373) Epoch: [16][10860/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5136 (2.6105) Prec@1 40.625 (36.711) Prec@5 68.750 (67.374) Epoch: [16][10870/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.7373 (2.6105) Prec@1 38.125 (36.713) Prec@5 63.750 (67.373) Epoch: [16][10880/11272] Time 0.719 (0.807) Data 0.003 (0.002) Loss 2.6827 (2.6105) Prec@1 35.625 (36.712) Prec@5 68.125 (67.374) Epoch: [16][10890/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.3038 (2.6105) Prec@1 42.500 (36.711) Prec@5 71.875 (67.374) Epoch: [16][10900/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 2.5948 (2.6105) Prec@1 38.125 (36.710) Prec@5 66.875 (67.375) Epoch: [16][10910/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.6034 (2.6104) Prec@1 39.375 (36.710) Prec@5 68.750 (67.376) Epoch: [16][10920/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.5426 (2.6105) Prec@1 38.750 (36.710) Prec@5 66.875 (67.374) Epoch: [16][10930/11272] Time 0.763 (0.807) Data 0.001 (0.002) Loss 2.5278 (2.6106) Prec@1 40.000 (36.711) Prec@5 69.375 (67.372) Epoch: [16][10940/11272] Time 0.912 (0.807) Data 0.002 (0.002) Loss 2.4617 (2.6105) Prec@1 37.500 (36.712) Prec@5 68.750 (67.372) Epoch: [16][10950/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.5579 (2.6105) Prec@1 33.125 (36.711) Prec@5 66.250 (67.373) Epoch: [16][10960/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.3812 (2.6105) Prec@1 40.000 (36.712) Prec@5 72.500 (67.374) Epoch: [16][10970/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.4934 (2.6104) Prec@1 38.750 (36.711) Prec@5 70.625 (67.375) Epoch: [16][10980/11272] Time 0.889 (0.807) Data 0.001 (0.002) Loss 2.3760 (2.6104) Prec@1 43.125 (36.713) Prec@5 73.750 (67.375) Epoch: [16][10990/11272] Time 0.852 (0.807) Data 0.004 (0.002) Loss 2.6601 (2.6104) Prec@1 35.625 (36.711) Prec@5 71.250 (67.374) Epoch: [16][11000/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.5552 (2.6105) Prec@1 36.250 (36.712) Prec@5 68.125 (67.374) Epoch: [16][11010/11272] Time 0.895 (0.807) Data 0.002 (0.002) Loss 2.4275 (2.6104) Prec@1 38.125 (36.712) Prec@5 71.250 (67.374) Epoch: [16][11020/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.5792 (2.6104) Prec@1 35.000 (36.713) Prec@5 66.875 (67.375) Epoch: [16][11030/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.6667 (2.6104) Prec@1 33.750 (36.713) Prec@5 62.500 (67.373) Epoch: [16][11040/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.7999 (2.6105) Prec@1 31.250 (36.711) Prec@5 62.500 (67.372) Epoch: [16][11050/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.8241 (2.6105) Prec@1 35.625 (36.712) Prec@5 62.500 (67.373) Epoch: [16][11060/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.5266 (2.6104) Prec@1 37.500 (36.712) Prec@5 68.125 (67.373) Epoch: [16][11070/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.6543 (2.6105) Prec@1 32.500 (36.713) Prec@5 65.625 (67.372) Epoch: [16][11080/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.5359 (2.6104) Prec@1 36.250 (36.714) Prec@5 66.250 (67.374) Epoch: [16][11090/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 2.6509 (2.6105) Prec@1 36.250 (36.712) Prec@5 64.375 (67.372) Epoch: [16][11100/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.6106 (2.6105) Prec@1 31.875 (36.711) Prec@5 66.875 (67.371) Epoch: [16][11110/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.5971 (2.6106) Prec@1 38.125 (36.710) Prec@5 67.500 (67.370) Epoch: [16][11120/11272] Time 0.703 (0.807) Data 0.001 (0.002) Loss 2.5636 (2.6106) Prec@1 31.875 (36.710) Prec@5 68.750 (67.369) Epoch: [16][11130/11272] Time 0.882 (0.807) Data 0.003 (0.002) Loss 3.0208 (2.6107) Prec@1 26.875 (36.708) Prec@5 63.125 (67.368) Epoch: [16][11140/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.6563 (2.6107) Prec@1 35.000 (36.708) Prec@5 66.250 (67.367) Epoch: [16][11150/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.7848 (2.6107) Prec@1 39.375 (36.708) Prec@5 66.250 (67.367) Epoch: [16][11160/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.6939 (2.6108) Prec@1 31.250 (36.705) Prec@5 61.250 (67.364) Epoch: [16][11170/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.7183 (2.6108) Prec@1 35.000 (36.705) Prec@5 65.000 (67.364) Epoch: [16][11180/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.6482 (2.6108) Prec@1 40.625 (36.705) Prec@5 65.625 (67.365) Epoch: [16][11190/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.3906 (2.6109) Prec@1 40.625 (36.703) Prec@5 73.750 (67.364) Epoch: [16][11200/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.8019 (2.6109) Prec@1 31.250 (36.702) Prec@5 72.500 (67.366) Epoch: [16][11210/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.3839 (2.6108) Prec@1 40.000 (36.702) Prec@5 70.625 (67.366) Epoch: [16][11220/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6406 (2.6108) Prec@1 33.750 (36.703) Prec@5 69.375 (67.366) Epoch: [16][11230/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6798 (2.6108) Prec@1 32.500 (36.705) Prec@5 66.250 (67.367) Epoch: [16][11240/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.5597 (2.6108) Prec@1 40.625 (36.707) Prec@5 71.250 (67.368) Epoch: [16][11250/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.7696 (2.6107) Prec@1 40.000 (36.708) Prec@5 64.375 (67.369) Epoch: [16][11260/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.4747 (2.6107) Prec@1 36.250 (36.709) Prec@5 70.000 (67.369) Epoch: [16][11270/11272] Time 0.731 (0.807) Data 0.000 (0.002) Loss 2.7912 (2.6108) Prec@1 39.375 (36.708) Prec@5 61.250 (67.367) Test: [0/229] Time 1.332 (1.332) Loss 1.4376 (1.4376) Prec@1 53.125 (53.125) Prec@5 91.875 (91.875) Test: [10/229] Time 0.348 (0.465) Loss 1.2788 (2.1210) Prec@1 64.375 (45.625) Prec@5 92.500 (79.318) Test: [20/229] Time 0.421 (0.429) Loss 2.3561 (2.1748) Prec@1 36.875 (43.601) Prec@5 76.250 (77.649) Test: [30/229] Time 0.366 (0.412) Loss 2.4955 (2.1325) Prec@1 36.250 (45.121) Prec@5 71.250 (77.540) Test: [40/229] Time 0.418 (0.403) Loss 1.0137 (2.0974) Prec@1 80.000 (46.143) Prec@5 86.875 (78.110) Test: [50/229] Time 0.359 (0.400) Loss 3.3919 (2.1840) Prec@1 12.500 (44.755) Prec@5 48.750 (75.821) Test: [60/229] Time 0.358 (0.397) Loss 2.3099 (2.1840) Prec@1 31.875 (44.385) Prec@5 78.125 (75.717) Test: [70/229] Time 0.437 (0.395) Loss 1.8667 (2.1882) Prec@1 55.625 (44.155) Prec@5 78.750 (75.757) Test: [80/229] Time 0.368 (0.394) Loss 2.9593 (2.2187) Prec@1 22.500 (43.148) Prec@5 66.875 (75.640) Test: [90/229] Time 0.435 (0.394) Loss 1.9382 (2.2152) Prec@1 56.250 (43.413) Prec@5 76.875 (75.666) Test: [100/229] Time 0.363 (0.393) Loss 2.4304 (2.1879) Prec@1 38.750 (44.202) Prec@5 78.125 (76.114) Test: [110/229] Time 0.418 (0.392) Loss 1.8531 (2.1609) Prec@1 54.375 (44.792) Prec@5 81.875 (76.565) Test: [120/229] Time 0.344 (0.390) Loss 3.3528 (2.1944) Prec@1 25.000 (43.750) Prec@5 61.875 (76.090) Test: [130/229] Time 0.346 (0.391) Loss 1.7871 (2.1860) Prec@1 53.750 (44.070) Prec@5 83.125 (76.178) Test: [140/229] Time 0.415 (0.390) Loss 2.6498 (2.2127) Prec@1 34.375 (43.431) Prec@5 68.750 (75.758) Test: [150/229] Time 0.353 (0.389) Loss 1.4726 (2.2323) Prec@1 66.875 (43.030) Prec@5 85.000 (75.389) Test: [160/229] Time 0.383 (0.389) Loss 2.6886 (2.2328) Prec@1 36.250 (43.102) Prec@5 77.500 (75.485) Test: [170/229] Time 0.338 (0.388) Loss 2.4107 (2.2430) Prec@1 35.000 (42.745) Prec@5 75.625 (75.376) Test: [180/229] Time 0.486 (0.388) Loss 2.8852 (2.2464) Prec@1 28.125 (42.828) Prec@5 59.375 (75.186) Test: [190/229] Time 0.406 (0.389) Loss 1.5164 (2.2365) Prec@1 55.000 (43.184) Prec@5 91.875 (75.344) Test: [200/229] Time 0.342 (0.389) Loss 2.5254 (2.2344) Prec@1 31.875 (43.100) Prec@5 70.000 (75.498) Test: [210/229] Time 0.432 (0.389) Loss 1.9907 (2.2257) Prec@1 44.375 (43.205) Prec@5 83.750 (75.743) Test: [220/229] Time 0.377 (0.389) Loss 2.1517 (2.2244) Prec@1 46.250 (43.402) Prec@5 78.125 (75.727) * Prec@1 43.613 Prec@5 75.856 Epoch: [17][0/11272] Time 2.593 (2.593) Data 1.778 (1.778) Loss 2.5815 (2.5815) Prec@1 36.250 (36.250) Prec@5 67.500 (67.500) Epoch: [17][10/11272] Time 0.850 (0.967) Data 0.002 (0.163) Loss 2.8477 (2.5417) Prec@1 33.125 (37.386) Prec@5 59.375 (68.636) Epoch: [17][20/11272] Time 0.817 (0.882) Data 0.001 (0.086) Loss 2.7750 (2.5495) Prec@1 35.625 (37.946) Prec@5 62.500 (68.869) Epoch: [17][30/11272] Time 0.710 (0.850) Data 0.001 (0.059) Loss 2.8204 (2.5677) Prec@1 35.000 (37.661) Prec@5 61.250 (68.306) Epoch: [17][40/11272] Time 0.745 (0.839) Data 0.002 (0.045) Loss 2.4671 (2.5636) Prec@1 36.250 (38.018) Prec@5 68.125 (68.735) Epoch: [17][50/11272] Time 0.880 (0.832) Data 0.002 (0.036) Loss 2.6752 (2.5596) Prec@1 33.125 (38.333) Prec@5 62.500 (68.591) Epoch: [17][60/11272] Time 0.855 (0.826) Data 0.002 (0.031) Loss 2.6444 (2.5708) Prec@1 42.500 (38.402) Prec@5 68.125 (68.422) Epoch: [17][70/11272] Time 0.730 (0.823) Data 0.001 (0.027) Loss 2.6882 (2.5542) Prec@1 40.000 (38.706) Prec@5 64.375 (68.697) Epoch: [17][80/11272] Time 0.843 (0.821) Data 0.001 (0.023) Loss 2.6538 (2.5562) Prec@1 33.125 (38.634) Prec@5 66.875 (68.619) Epoch: [17][90/11272] Time 0.856 (0.818) Data 0.002 (0.021) Loss 2.6493 (2.5592) Prec@1 34.375 (38.365) Prec@5 67.500 (68.565) Epoch: [17][100/11272] Time 0.748 (0.816) Data 0.001 (0.019) Loss 2.3324 (2.5645) Prec@1 39.375 (38.113) Prec@5 75.000 (68.496) Epoch: [17][110/11272] Time 0.728 (0.814) Data 0.001 (0.018) Loss 2.1960 (2.5640) Prec@1 43.750 (37.973) Prec@5 75.000 (68.491) Epoch: [17][120/11272] Time 0.850 (0.814) Data 0.001 (0.016) Loss 2.6478 (2.5602) Prec@1 40.000 (38.094) Prec@5 66.875 (68.450) Epoch: [17][130/11272] Time 0.857 (0.813) Data 0.001 (0.015) Loss 2.6099 (2.5644) Prec@1 40.000 (38.030) Prec@5 64.375 (68.387) Epoch: [17][140/11272] Time 0.766 (0.811) Data 0.002 (0.014) Loss 2.7376 (2.5641) Prec@1 31.875 (37.961) Prec@5 63.750 (68.453) Epoch: [17][150/11272] Time 0.739 (0.810) Data 0.001 (0.013) Loss 2.7052 (2.5682) Prec@1 31.875 (37.748) Prec@5 63.750 (68.336) Epoch: [17][160/11272] Time 0.868 (0.810) Data 0.001 (0.013) Loss 2.6415 (2.5689) Prec@1 36.875 (37.694) Prec@5 60.625 (68.288) Epoch: [17][170/11272] Time 0.852 (0.810) Data 0.001 (0.012) Loss 2.5682 (2.5662) Prec@1 36.250 (37.686) Prec@5 67.500 (68.337) Epoch: [17][180/11272] Time 0.758 (0.809) Data 0.002 (0.011) Loss 2.4206 (2.5675) Prec@1 40.625 (37.604) Prec@5 73.125 (68.298) Epoch: [17][190/11272] Time 0.727 (0.809) Data 0.001 (0.011) Loss 2.4473 (2.5698) Prec@1 41.250 (37.562) Prec@5 67.500 (68.282) Epoch: [17][200/11272] Time 0.850 (0.809) Data 0.001 (0.010) Loss 2.8112 (2.5740) Prec@1 32.500 (37.506) Prec@5 60.000 (68.215) Epoch: [17][210/11272] Time 0.748 (0.808) Data 0.003 (0.010) Loss 2.6372 (2.5733) Prec@1 36.250 (37.488) Prec@5 65.000 (68.119) Epoch: [17][220/11272] Time 0.739 (0.808) Data 0.001 (0.010) Loss 2.7298 (2.5802) Prec@1 28.125 (37.305) Prec@5 71.875 (68.009) Epoch: [17][230/11272] Time 0.882 (0.807) Data 0.002 (0.009) Loss 2.4418 (2.5791) Prec@1 41.250 (37.384) Prec@5 72.500 (68.022) Epoch: [17][240/11272] Time 0.846 (0.807) Data 0.002 (0.009) Loss 2.6153 (2.5777) Prec@1 33.750 (37.422) Prec@5 71.250 (68.076) Epoch: [17][250/11272] Time 0.703 (0.807) Data 0.001 (0.009) Loss 2.3934 (2.5791) Prec@1 36.875 (37.380) Prec@5 74.375 (68.068) Epoch: [17][260/11272] Time 0.739 (0.807) Data 0.001 (0.008) Loss 2.4499 (2.5793) Prec@1 40.000 (37.349) Prec@5 70.000 (68.048) Epoch: [17][270/11272] Time 0.875 (0.807) Data 0.002 (0.008) Loss 2.6025 (2.5798) Prec@1 38.125 (37.288) Prec@5 66.250 (68.081) Epoch: [17][280/11272] Time 0.852 (0.807) Data 0.002 (0.008) Loss 2.7074 (2.5817) Prec@1 34.375 (37.293) Prec@5 65.000 (68.034) Epoch: [17][290/11272] Time 0.728 (0.807) Data 0.001 (0.008) Loss 2.7113 (2.5826) Prec@1 34.375 (37.219) Prec@5 65.625 (67.998) Epoch: [17][300/11272] Time 0.752 (0.807) Data 0.002 (0.007) Loss 2.5568 (2.5837) Prec@1 37.500 (37.195) Prec@5 68.125 (67.953) Epoch: [17][310/11272] Time 0.908 (0.807) Data 0.002 (0.007) Loss 2.4602 (2.5835) Prec@1 35.000 (37.172) Prec@5 69.375 (67.960) Epoch: [17][320/11272] Time 0.856 (0.807) Data 0.001 (0.007) Loss 2.4688 (2.5840) Prec@1 46.250 (37.257) Prec@5 70.000 (67.950) Epoch: [17][330/11272] Time 0.739 (0.806) Data 0.001 (0.007) Loss 3.0057 (2.5851) Prec@1 32.500 (37.255) Prec@5 63.125 (67.942) Epoch: [17][340/11272] Time 0.871 (0.806) Data 0.001 (0.007) Loss 2.8880 (2.5859) Prec@1 31.250 (37.276) Prec@5 60.000 (67.894) Epoch: [17][350/11272] Time 0.875 (0.806) Data 0.002 (0.007) Loss 2.7339 (2.5868) Prec@1 36.250 (37.283) Prec@5 68.125 (67.901) Epoch: [17][360/11272] Time 0.738 (0.806) Data 0.001 (0.006) Loss 2.4311 (2.5838) Prec@1 41.875 (37.344) Prec@5 71.875 (67.954) Epoch: [17][370/11272] Time 0.768 (0.806) Data 0.001 (0.006) Loss 2.6750 (2.5843) Prec@1 36.250 (37.364) Prec@5 65.000 (67.933) Epoch: [17][380/11272] Time 0.897 (0.807) Data 0.002 (0.006) Loss 2.9599 (2.5848) Prec@1 32.500 (37.385) Prec@5 63.125 (67.930) Epoch: [17][390/11272] Time 0.835 (0.807) Data 0.002 (0.006) Loss 2.6833 (2.5877) Prec@1 34.375 (37.372) Prec@5 64.375 (67.876) Epoch: [17][400/11272] Time 0.741 (0.806) Data 0.001 (0.006) Loss 2.7545 (2.5891) Prec@1 27.500 (37.352) Prec@5 65.000 (67.858) Epoch: [17][410/11272] Time 0.724 (0.806) Data 0.001 (0.006) Loss 2.4413 (2.5897) Prec@1 37.500 (37.286) Prec@5 70.000 (67.827) Epoch: [17][420/11272] Time 0.883 (0.806) Data 0.002 (0.006) Loss 2.5065 (2.5907) Prec@1 36.875 (37.237) Prec@5 71.250 (67.810) Epoch: [17][430/11272] Time 0.833 (0.806) Data 0.002 (0.006) Loss 2.6054 (2.5899) Prec@1 37.500 (37.233) Prec@5 65.000 (67.832) Epoch: [17][440/11272] Time 0.730 (0.806) Data 0.001 (0.006) Loss 2.5159 (2.5907) Prec@1 38.125 (37.217) Prec@5 70.625 (67.825) Epoch: [17][450/11272] Time 0.733 (0.806) Data 0.002 (0.006) Loss 2.8361 (2.5900) Prec@1 28.125 (37.239) Prec@5 65.000 (67.834) Epoch: [17][460/11272] Time 0.857 (0.806) Data 0.002 (0.005) Loss 2.7785 (2.5910) Prec@1 35.625 (37.232) Prec@5 60.000 (67.813) Epoch: [17][470/11272] Time 0.846 (0.806) Data 0.001 (0.005) Loss 2.8687 (2.5929) Prec@1 30.000 (37.191) Prec@5 62.500 (67.756) Epoch: [17][480/11272] Time 0.722 (0.806) Data 0.001 (0.005) Loss 2.6565 (2.5922) Prec@1 33.750 (37.209) Prec@5 65.625 (67.774) Epoch: [17][490/11272] Time 0.862 (0.806) Data 0.002 (0.005) Loss 2.5629 (2.5913) Prec@1 36.250 (37.223) Prec@5 71.250 (67.794) Epoch: [17][500/11272] Time 0.873 (0.806) Data 0.001 (0.005) Loss 2.7008 (2.5908) Prec@1 31.250 (37.223) Prec@5 65.000 (67.808) Epoch: [17][510/11272] Time 0.749 (0.806) Data 0.001 (0.005) Loss 2.6173 (2.5904) Prec@1 35.000 (37.235) Prec@5 65.625 (67.818) Epoch: [17][520/11272] Time 0.748 (0.806) Data 0.001 (0.005) Loss 2.5229 (2.5916) Prec@1 35.625 (37.212) Prec@5 66.250 (67.775) Epoch: [17][530/11272] Time 0.873 (0.806) Data 0.002 (0.005) Loss 2.7087 (2.5922) Prec@1 40.000 (37.200) Prec@5 63.125 (67.751) Epoch: [17][540/11272] Time 0.833 (0.806) Data 0.002 (0.005) Loss 2.5123 (2.5918) Prec@1 37.500 (37.200) Prec@5 65.000 (67.754) Epoch: [17][550/11272] Time 0.743 (0.806) Data 0.001 (0.005) Loss 2.2803 (2.5930) Prec@1 45.625 (37.208) Prec@5 74.375 (67.727) Epoch: [17][560/11272] Time 0.732 (0.806) Data 0.001 (0.005) Loss 2.4662 (2.5915) Prec@1 39.375 (37.246) Prec@5 68.750 (67.755) Epoch: [17][570/11272] Time 0.884 (0.806) Data 0.002 (0.005) Loss 2.8072 (2.5925) Prec@1 32.500 (37.214) Prec@5 66.250 (67.741) Epoch: [17][580/11272] Time 0.874 (0.806) Data 0.002 (0.005) Loss 2.7054 (2.5939) Prec@1 36.875 (37.187) Prec@5 68.750 (67.714) Epoch: [17][590/11272] Time 0.742 (0.806) Data 0.001 (0.005) Loss 2.4885 (2.5937) Prec@1 39.375 (37.206) Prec@5 71.250 (67.713) Epoch: [17][600/11272] Time 0.728 (0.806) Data 0.001 (0.005) Loss 2.4677 (2.5935) Prec@1 38.750 (37.217) Prec@5 65.625 (67.711) Epoch: [17][610/11272] Time 0.856 (0.806) Data 0.001 (0.005) Loss 2.8399 (2.5938) Prec@1 32.500 (37.217) Prec@5 61.250 (67.704) Epoch: [17][620/11272] Time 0.764 (0.805) Data 0.002 (0.004) Loss 2.5488 (2.5938) Prec@1 38.125 (37.193) Prec@5 68.125 (67.688) Epoch: [17][630/11272] Time 0.717 (0.805) Data 0.001 (0.004) Loss 2.7299 (2.5938) Prec@1 35.000 (37.197) Prec@5 64.375 (67.685) Epoch: [17][640/11272] Time 0.922 (0.806) Data 0.002 (0.004) Loss 2.4536 (2.5935) Prec@1 46.250 (37.186) Prec@5 69.375 (67.707) Epoch: [17][650/11272] Time 0.875 (0.806) Data 0.002 (0.004) Loss 2.8585 (2.5950) Prec@1 28.750 (37.133) Prec@5 68.125 (67.699) Epoch: [17][660/11272] Time 0.755 (0.806) Data 0.001 (0.004) Loss 2.7376 (2.5959) Prec@1 35.625 (37.133) Prec@5 67.500 (67.681) Epoch: [17][670/11272] Time 0.734 (0.806) Data 0.001 (0.004) Loss 2.6218 (2.5964) Prec@1 38.125 (37.148) Prec@5 68.125 (67.678) Epoch: [17][680/11272] Time 0.844 (0.805) Data 0.002 (0.004) Loss 2.7230 (2.5962) Prec@1 36.250 (37.162) Prec@5 65.625 (67.676) Epoch: [17][690/11272] Time 0.835 (0.805) Data 0.001 (0.004) Loss 2.3704 (2.5952) Prec@1 37.500 (37.173) Prec@5 75.625 (67.693) Epoch: [17][700/11272] Time 0.745 (0.805) Data 0.002 (0.004) Loss 2.8699 (2.5965) Prec@1 31.875 (37.140) Prec@5 63.750 (67.680) Epoch: [17][710/11272] Time 0.727 (0.805) Data 0.001 (0.004) Loss 2.4655 (2.5972) Prec@1 40.000 (37.124) Prec@5 70.000 (67.682) Epoch: [17][720/11272] Time 0.869 (0.805) Data 0.002 (0.004) Loss 2.5645 (2.5971) Prec@1 38.125 (37.122) Prec@5 74.375 (67.688) Epoch: [17][730/11272] Time 0.834 (0.805) Data 0.001 (0.004) Loss 2.5967 (2.5978) Prec@1 36.250 (37.103) Prec@5 70.625 (67.687) Epoch: [17][740/11272] Time 0.735 (0.805) Data 0.002 (0.004) Loss 2.6026 (2.5965) Prec@1 36.875 (37.109) Prec@5 68.125 (67.715) Epoch: [17][750/11272] Time 0.845 (0.805) Data 0.001 (0.004) Loss 2.5450 (2.5946) Prec@1 38.125 (37.136) Prec@5 70.625 (67.747) Epoch: [17][760/11272] Time 0.897 (0.805) Data 0.002 (0.004) Loss 2.5629 (2.5950) Prec@1 40.625 (37.135) Prec@5 68.125 (67.735) Epoch: [17][770/11272] Time 0.762 (0.805) Data 0.002 (0.004) Loss 2.6639 (2.5948) Prec@1 35.625 (37.131) Prec@5 68.125 (67.734) Epoch: [17][780/11272] Time 0.728 (0.805) Data 0.001 (0.004) Loss 2.7081 (2.5946) Prec@1 33.750 (37.115) Prec@5 63.125 (67.740) Epoch: [17][790/11272] Time 0.844 (0.805) Data 0.001 (0.004) Loss 2.7253 (2.5955) Prec@1 33.125 (37.083) Prec@5 67.500 (67.729) Epoch: [17][800/11272] Time 0.834 (0.804) Data 0.002 (0.004) Loss 2.5167 (2.5957) Prec@1 39.375 (37.083) Prec@5 71.250 (67.717) Epoch: [17][810/11272] Time 0.744 (0.804) Data 0.001 (0.004) Loss 2.4638 (2.5954) Prec@1 36.250 (37.080) Prec@5 70.625 (67.727) Epoch: [17][820/11272] Time 0.741 (0.804) Data 0.001 (0.004) Loss 2.6648 (2.5955) Prec@1 38.750 (37.100) Prec@5 65.625 (67.728) Epoch: [17][830/11272] Time 0.893 (0.804) Data 0.002 (0.004) Loss 2.8379 (2.5960) Prec@1 33.750 (37.083) Prec@5 66.250 (67.729) Epoch: [17][840/11272] Time 0.862 (0.804) Data 0.002 (0.004) Loss 2.3582 (2.5954) Prec@1 41.250 (37.099) Prec@5 69.375 (67.737) Epoch: [17][850/11272] Time 0.746 (0.805) Data 0.002 (0.004) Loss 2.7150 (2.5956) Prec@1 38.125 (37.104) Prec@5 62.500 (67.728) Epoch: [17][860/11272] Time 0.730 (0.805) Data 0.001 (0.004) Loss 2.4892 (2.5958) Prec@1 40.625 (37.077) Prec@5 71.250 (67.722) Epoch: [17][870/11272] Time 0.897 (0.805) Data 0.002 (0.004) Loss 2.9229 (2.5964) Prec@1 31.250 (37.060) Prec@5 59.375 (67.722) Epoch: [17][880/11272] Time 0.746 (0.805) Data 0.004 (0.004) Loss 2.7126 (2.5964) Prec@1 38.125 (37.054) Prec@5 63.125 (67.726) Epoch: [17][890/11272] Time 0.735 (0.805) Data 0.001 (0.004) Loss 2.7792 (2.5968) Prec@1 34.375 (37.037) Prec@5 63.750 (67.717) Epoch: [17][900/11272] Time 0.895 (0.805) Data 0.002 (0.004) Loss 2.5402 (2.5957) Prec@1 41.250 (37.074) Prec@5 66.875 (67.721) Epoch: [17][910/11272] Time 0.840 (0.805) Data 0.001 (0.004) Loss 2.4996 (2.5957) Prec@1 34.375 (37.066) Prec@5 74.375 (67.726) Epoch: [17][920/11272] Time 0.737 (0.805) Data 0.001 (0.004) Loss 2.8050 (2.5956) Prec@1 31.875 (37.066) Prec@5 65.625 (67.731) Epoch: [17][930/11272] Time 0.755 (0.804) Data 0.001 (0.003) Loss 2.6059 (2.5957) Prec@1 31.875 (37.056) Prec@5 70.000 (67.730) Epoch: [17][940/11272] Time 0.876 (0.805) Data 0.002 (0.003) Loss 2.5545 (2.5954) Prec@1 36.250 (37.053) Prec@5 68.125 (67.741) Epoch: [17][950/11272] Time 0.838 (0.804) Data 0.001 (0.003) Loss 2.6071 (2.5954) Prec@1 33.750 (37.047) Prec@5 63.750 (67.738) Epoch: [17][960/11272] Time 0.733 (0.804) Data 0.001 (0.003) Loss 2.4039 (2.5956) Prec@1 41.875 (37.047) Prec@5 70.625 (67.733) Epoch: [17][970/11272] Time 0.733 (0.804) Data 0.001 (0.003) Loss 2.4299 (2.5968) Prec@1 38.125 (37.013) Prec@5 73.750 (67.700) Epoch: [17][980/11272] Time 0.866 (0.804) Data 0.001 (0.003) Loss 2.7234 (2.5960) Prec@1 38.125 (37.029) Prec@5 66.250 (67.725) Epoch: [17][990/11272] Time 0.862 (0.804) Data 0.001 (0.003) Loss 2.5290 (2.5966) Prec@1 35.625 (37.024) Prec@5 66.875 (67.716) Epoch: [17][1000/11272] Time 0.738 (0.804) Data 0.001 (0.003) Loss 2.6341 (2.5960) Prec@1 35.625 (37.029) Prec@5 68.125 (67.723) Epoch: [17][1010/11272] Time 0.843 (0.804) Data 0.001 (0.003) Loss 2.4520 (2.5959) Prec@1 43.125 (37.038) Prec@5 69.375 (67.736) Epoch: [17][1020/11272] Time 0.846 (0.804) Data 0.001 (0.003) Loss 2.6832 (2.5961) Prec@1 33.125 (37.022) Prec@5 68.750 (67.725) Epoch: [17][1030/11272] Time 0.745 (0.804) Data 0.002 (0.003) Loss 2.4846 (2.5963) Prec@1 40.000 (37.005) Prec@5 70.000 (67.716) Epoch: [17][1040/11272] Time 0.748 (0.804) Data 0.002 (0.003) Loss 2.3399 (2.5968) Prec@1 44.375 (37.000) Prec@5 73.125 (67.713) Epoch: [17][1050/11272] Time 0.841 (0.804) Data 0.002 (0.003) Loss 2.6343 (2.5977) Prec@1 36.875 (36.987) Prec@5 66.250 (67.702) Epoch: [17][1060/11272] Time 0.865 (0.804) Data 0.002 (0.003) Loss 2.7749 (2.5978) Prec@1 31.875 (36.995) Prec@5 64.375 (67.700) Epoch: [17][1070/11272] Time 0.733 (0.804) Data 0.001 (0.003) Loss 2.4105 (2.5973) Prec@1 37.500 (36.996) Prec@5 68.125 (67.703) Epoch: [17][1080/11272] Time 0.736 (0.804) Data 0.001 (0.003) Loss 2.5005 (2.5978) Prec@1 41.875 (37.005) Prec@5 70.000 (67.699) Epoch: [17][1090/11272] Time 0.844 (0.804) Data 0.001 (0.003) Loss 2.3608 (2.5976) Prec@1 39.375 (37.022) Prec@5 71.250 (67.703) Epoch: [17][1100/11272] Time 0.887 (0.804) Data 0.002 (0.003) Loss 2.6209 (2.5981) Prec@1 35.000 (37.012) Prec@5 71.250 (67.695) Epoch: [17][1110/11272] Time 0.738 (0.804) Data 0.001 (0.003) Loss 2.5735 (2.5982) Prec@1 40.000 (37.021) Prec@5 69.375 (67.699) Epoch: [17][1120/11272] Time 0.730 (0.804) Data 0.001 (0.003) Loss 2.7582 (2.5984) Prec@1 34.375 (37.018) Prec@5 65.625 (67.697) Epoch: [17][1130/11272] Time 0.846 (0.805) Data 0.002 (0.003) Loss 2.3501 (2.5977) Prec@1 40.625 (37.016) Prec@5 71.250 (67.713) Epoch: [17][1140/11272] Time 0.729 (0.804) Data 0.003 (0.003) Loss 2.3353 (2.5978) Prec@1 38.750 (37.000) Prec@5 75.000 (67.711) Epoch: [17][1150/11272] Time 0.766 (0.804) Data 0.001 (0.003) Loss 2.7591 (2.5984) Prec@1 37.500 (36.996) Prec@5 66.875 (67.704) Epoch: [17][1160/11272] Time 0.852 (0.804) Data 0.002 (0.003) Loss 2.6462 (2.5982) Prec@1 36.250 (36.998) Prec@5 66.250 (67.714) Epoch: [17][1170/11272] Time 0.841 (0.804) Data 0.001 (0.003) Loss 2.3552 (2.5982) Prec@1 42.500 (37.003) Prec@5 71.250 (67.711) Epoch: [17][1180/11272] Time 0.719 (0.804) Data 0.001 (0.003) Loss 2.6962 (2.5986) Prec@1 32.500 (36.998) Prec@5 66.250 (67.694) Epoch: [17][1190/11272] Time 0.785 (0.804) Data 0.001 (0.003) Loss 2.4766 (2.5984) Prec@1 38.750 (37.008) Prec@5 72.500 (67.700) Epoch: [17][1200/11272] Time 0.868 (0.804) Data 0.001 (0.003) Loss 2.7554 (2.5991) Prec@1 34.375 (36.985) Prec@5 70.000 (67.694) Epoch: [17][1210/11272] Time 0.882 (0.804) Data 0.002 (0.003) Loss 2.5632 (2.5988) Prec@1 40.625 (36.997) Prec@5 68.125 (67.698) Epoch: [17][1220/11272] Time 0.741 (0.804) Data 0.001 (0.003) Loss 2.3073 (2.5988) Prec@1 41.250 (36.996) Prec@5 71.875 (67.700) Epoch: [17][1230/11272] Time 0.705 (0.804) Data 0.001 (0.003) Loss 2.5670 (2.5992) Prec@1 38.750 (36.987) Prec@5 68.125 (67.688) Epoch: [17][1240/11272] Time 0.869 (0.804) Data 0.002 (0.003) Loss 2.7179 (2.6004) Prec@1 35.000 (36.964) Prec@5 61.875 (67.660) Epoch: [17][1250/11272] Time 0.858 (0.804) Data 0.002 (0.003) Loss 2.6899 (2.6001) Prec@1 35.625 (36.970) Prec@5 66.250 (67.661) Epoch: [17][1260/11272] Time 0.734 (0.804) Data 0.001 (0.003) Loss 2.5238 (2.5996) Prec@1 40.000 (36.984) Prec@5 68.125 (67.672) Epoch: [17][1270/11272] Time 0.851 (0.804) Data 0.001 (0.003) Loss 2.7427 (2.6001) Prec@1 36.875 (36.979) Prec@5 65.625 (67.661) Epoch: [17][1280/11272] Time 0.858 (0.804) Data 0.002 (0.003) Loss 2.6402 (2.5995) Prec@1 33.125 (36.990) Prec@5 71.875 (67.672) Epoch: [17][1290/11272] Time 0.729 (0.804) Data 0.001 (0.003) Loss 2.5147 (2.5989) Prec@1 35.625 (36.994) Prec@5 69.375 (67.683) Epoch: [17][1300/11272] Time 0.727 (0.804) Data 0.001 (0.003) Loss 2.5866 (2.5992) Prec@1 41.250 (36.993) Prec@5 68.750 (67.679) Epoch: [17][1310/11272] Time 0.871 (0.804) Data 0.002 (0.003) Loss 2.5948 (2.5992) Prec@1 39.375 (36.991) Prec@5 68.750 (67.678) Epoch: [17][1320/11272] Time 0.838 (0.804) Data 0.002 (0.003) Loss 2.6745 (2.5994) Prec@1 40.000 (36.989) Prec@5 66.875 (67.683) Epoch: [17][1330/11272] Time 0.735 (0.804) Data 0.001 (0.003) Loss 2.3508 (2.5995) Prec@1 40.625 (36.986) Prec@5 70.000 (67.679) Epoch: [17][1340/11272] Time 0.730 (0.804) Data 0.001 (0.003) Loss 2.8253 (2.6003) Prec@1 31.875 (36.968) Prec@5 65.000 (67.659) Epoch: [17][1350/11272] Time 0.839 (0.804) Data 0.001 (0.003) Loss 2.6683 (2.6004) Prec@1 36.875 (36.967) Prec@5 63.750 (67.653) Epoch: [17][1360/11272] Time 0.870 (0.804) Data 0.002 (0.003) Loss 2.3465 (2.6003) Prec@1 43.750 (36.969) Prec@5 72.500 (67.653) Epoch: [17][1370/11272] Time 0.735 (0.804) Data 0.001 (0.003) Loss 2.8861 (2.6005) Prec@1 30.625 (36.966) Prec@5 62.500 (67.655) Epoch: [17][1380/11272] Time 0.731 (0.804) Data 0.002 (0.003) Loss 2.6022 (2.6011) Prec@1 35.000 (36.954) Prec@5 66.250 (67.641) Epoch: [17][1390/11272] Time 0.839 (0.804) Data 0.002 (0.003) Loss 2.8002 (2.6009) Prec@1 40.000 (36.952) Prec@5 61.250 (67.645) Epoch: [17][1400/11272] Time 0.814 (0.804) Data 0.002 (0.003) Loss 2.6013 (2.6009) Prec@1 35.625 (36.951) Prec@5 70.000 (67.646) Epoch: [17][1410/11272] Time 0.747 (0.804) Data 0.001 (0.003) Loss 2.5724 (2.6009) Prec@1 32.500 (36.942) Prec@5 68.125 (67.647) Epoch: [17][1420/11272] Time 0.853 (0.804) Data 0.001 (0.003) Loss 2.7463 (2.6011) Prec@1 32.500 (36.931) Prec@5 65.000 (67.643) Epoch: [17][1430/11272] Time 0.871 (0.804) Data 0.002 (0.003) Loss 2.4311 (2.6011) Prec@1 41.250 (36.933) Prec@5 68.125 (67.644) Epoch: [17][1440/11272] Time 0.738 (0.804) Data 0.001 (0.003) Loss 2.3749 (2.6011) Prec@1 41.875 (36.934) Prec@5 67.500 (67.637) Epoch: [17][1450/11272] Time 0.730 (0.804) Data 0.001 (0.003) Loss 2.6953 (2.6011) Prec@1 36.250 (36.943) Prec@5 68.125 (67.646) Epoch: [17][1460/11272] Time 0.851 (0.804) Data 0.002 (0.003) Loss 2.8241 (2.6013) Prec@1 30.000 (36.932) Prec@5 64.375 (67.646) Epoch: [17][1470/11272] Time 0.858 (0.804) Data 0.002 (0.003) Loss 2.7216 (2.6010) Prec@1 30.625 (36.932) Prec@5 66.250 (67.652) Epoch: [17][1480/11272] Time 0.725 (0.804) Data 0.002 (0.003) Loss 2.7737 (2.6011) Prec@1 31.875 (36.940) Prec@5 65.625 (67.649) Epoch: [17][1490/11272] Time 0.732 (0.804) Data 0.001 (0.003) Loss 2.5988 (2.6014) Prec@1 28.750 (36.934) Prec@5 70.000 (67.647) Epoch: [17][1500/11272] Time 0.841 (0.804) Data 0.001 (0.003) Loss 2.5068 (2.6012) Prec@1 40.625 (36.943) Prec@5 67.500 (67.652) Epoch: [17][1510/11272] Time 0.880 (0.804) Data 0.003 (0.003) Loss 2.4886 (2.6014) Prec@1 39.375 (36.949) Prec@5 68.125 (67.650) Epoch: [17][1520/11272] Time 0.738 (0.804) Data 0.001 (0.003) Loss 2.5977 (2.6010) Prec@1 31.875 (36.961) Prec@5 68.750 (67.661) Epoch: [17][1530/11272] Time 0.738 (0.804) Data 0.001 (0.003) Loss 2.6621 (2.6008) Prec@1 36.250 (36.963) Prec@5 70.000 (67.671) Epoch: [17][1540/11272] Time 0.867 (0.804) Data 0.002 (0.003) Loss 2.7157 (2.6011) Prec@1 36.875 (36.959) Prec@5 70.000 (67.670) Epoch: [17][1550/11272] Time 0.767 (0.804) Data 0.002 (0.003) Loss 2.6268 (2.6009) Prec@1 36.875 (36.968) Prec@5 66.875 (67.681) Epoch: [17][1560/11272] Time 0.730 (0.804) Data 0.001 (0.003) Loss 2.9017 (2.6012) Prec@1 32.500 (36.959) Prec@5 61.250 (67.676) Epoch: [17][1570/11272] Time 0.901 (0.804) Data 0.002 (0.003) Loss 2.7313 (2.6011) Prec@1 33.125 (36.964) Prec@5 61.250 (67.678) Epoch: [17][1580/11272] Time 0.863 (0.804) Data 0.002 (0.003) Loss 2.6705 (2.6006) Prec@1 36.875 (36.975) Prec@5 65.625 (67.684) Epoch: [17][1590/11272] Time 0.727 (0.804) Data 0.001 (0.003) Loss 2.5969 (2.6007) Prec@1 36.250 (36.975) Prec@5 68.750 (67.688) Epoch: [17][1600/11272] Time 0.722 (0.804) Data 0.001 (0.003) Loss 2.7718 (2.6018) Prec@1 32.500 (36.939) Prec@5 66.875 (67.664) Epoch: [17][1610/11272] Time 0.902 (0.804) Data 0.002 (0.003) Loss 2.6525 (2.6023) Prec@1 38.125 (36.931) Prec@5 66.875 (67.648) Epoch: [17][1620/11272] Time 0.830 (0.804) Data 0.002 (0.003) Loss 2.6921 (2.6023) Prec@1 38.750 (36.927) Prec@5 69.375 (67.649) Epoch: [17][1630/11272] Time 0.751 (0.804) Data 0.002 (0.003) Loss 2.6218 (2.6023) Prec@1 37.500 (36.931) Prec@5 68.750 (67.641) Epoch: [17][1640/11272] Time 0.719 (0.804) Data 0.001 (0.003) Loss 2.4722 (2.6021) Prec@1 35.000 (36.932) Prec@5 68.750 (67.645) Epoch: [17][1650/11272] Time 0.874 (0.804) Data 0.002 (0.003) Loss 2.5812 (2.6023) Prec@1 35.625 (36.930) Prec@5 71.250 (67.649) Epoch: [17][1660/11272] Time 0.867 (0.804) Data 0.002 (0.003) Loss 2.5273 (2.6021) Prec@1 37.500 (36.934) Prec@5 65.625 (67.646) Epoch: [17][1670/11272] Time 0.746 (0.804) Data 0.002 (0.003) Loss 2.6934 (2.6020) Prec@1 35.000 (36.937) Prec@5 63.125 (67.643) Epoch: [17][1680/11272] Time 0.874 (0.804) Data 0.001 (0.003) Loss 2.5597 (2.6023) Prec@1 38.125 (36.940) Prec@5 68.125 (67.637) Epoch: [17][1690/11272] Time 0.843 (0.804) Data 0.002 (0.003) Loss 2.6138 (2.6026) Prec@1 41.875 (36.934) Prec@5 65.625 (67.628) Epoch: [17][1700/11272] Time 0.756 (0.804) Data 0.001 (0.003) Loss 2.5111 (2.6025) Prec@1 46.250 (36.939) Prec@5 70.625 (67.623) Epoch: [17][1710/11272] Time 0.770 (0.804) Data 0.001 (0.003) Loss 2.9067 (2.6031) Prec@1 31.250 (36.924) Prec@5 63.125 (67.617) Epoch: [17][1720/11272] Time 0.856 (0.804) Data 0.002 (0.003) Loss 2.4986 (2.6032) Prec@1 33.750 (36.915) Prec@5 68.125 (67.616) Epoch: [17][1730/11272] Time 0.893 (0.804) Data 0.002 (0.003) Loss 2.6785 (2.6032) Prec@1 30.625 (36.916) Prec@5 66.875 (67.618) Epoch: [17][1740/11272] Time 0.794 (0.804) Data 0.002 (0.003) Loss 2.2353 (2.6027) Prec@1 43.750 (36.920) Prec@5 75.000 (67.631) Epoch: [17][1750/11272] Time 0.743 (0.804) Data 0.001 (0.003) Loss 2.5229 (2.6029) Prec@1 40.625 (36.918) Prec@5 70.625 (67.627) Epoch: [17][1760/11272] Time 0.871 (0.804) Data 0.002 (0.003) Loss 2.6388 (2.6028) Prec@1 35.000 (36.919) Prec@5 67.500 (67.632) Epoch: [17][1770/11272] Time 0.876 (0.804) Data 0.002 (0.003) Loss 2.8429 (2.6029) Prec@1 30.000 (36.916) Prec@5 60.625 (67.628) Epoch: [17][1780/11272] Time 0.736 (0.804) Data 0.001 (0.003) Loss 2.4930 (2.6030) Prec@1 41.250 (36.916) Prec@5 70.000 (67.632) Epoch: [17][1790/11272] Time 0.734 (0.804) Data 0.001 (0.003) Loss 2.8030 (2.6030) Prec@1 35.625 (36.903) Prec@5 67.500 (67.634) Epoch: [17][1800/11272] Time 0.889 (0.804) Data 0.001 (0.003) Loss 2.7492 (2.6032) Prec@1 31.875 (36.899) Prec@5 60.625 (67.626) Epoch: [17][1810/11272] Time 0.782 (0.804) Data 0.003 (0.003) Loss 2.6142 (2.6034) Prec@1 36.250 (36.898) Prec@5 63.125 (67.617) Epoch: [17][1820/11272] Time 0.735 (0.804) Data 0.001 (0.003) Loss 2.8568 (2.6037) Prec@1 33.750 (36.897) Prec@5 63.125 (67.612) Epoch: [17][1830/11272] Time 0.896 (0.804) Data 0.002 (0.003) Loss 2.8642 (2.6037) Prec@1 29.375 (36.888) Prec@5 64.375 (67.612) Epoch: [17][1840/11272] Time 0.859 (0.804) Data 0.002 (0.003) Loss 2.7156 (2.6035) Prec@1 36.875 (36.895) Prec@5 63.750 (67.615) Epoch: [17][1850/11272] Time 0.731 (0.804) Data 0.001 (0.003) Loss 2.6063 (2.6034) Prec@1 34.375 (36.901) Prec@5 68.125 (67.615) Epoch: [17][1860/11272] Time 0.765 (0.804) Data 0.002 (0.003) Loss 2.7783 (2.6034) Prec@1 35.000 (36.905) Prec@5 65.000 (67.616) Epoch: [17][1870/11272] Time 0.861 (0.804) Data 0.002 (0.003) Loss 2.7001 (2.6037) Prec@1 34.375 (36.894) Prec@5 65.000 (67.607) Epoch: [17][1880/11272] Time 0.862 (0.804) Data 0.002 (0.003) Loss 2.6602 (2.6038) Prec@1 35.625 (36.904) Prec@5 64.375 (67.606) Epoch: [17][1890/11272] Time 0.724 (0.804) Data 0.001 (0.003) Loss 2.6399 (2.6039) Prec@1 38.125 (36.900) Prec@5 68.750 (67.604) Epoch: [17][1900/11272] Time 0.743 (0.804) Data 0.001 (0.003) Loss 2.5174 (2.6042) Prec@1 38.125 (36.897) Prec@5 72.500 (67.601) Epoch: [17][1910/11272] Time 0.842 (0.804) Data 0.002 (0.003) Loss 2.9340 (2.6041) Prec@1 32.500 (36.895) Prec@5 61.875 (67.604) Epoch: [17][1920/11272] Time 0.832 (0.804) Data 0.002 (0.003) Loss 2.5701 (2.6036) Prec@1 31.875 (36.893) Prec@5 68.125 (67.615) Epoch: [17][1930/11272] Time 0.740 (0.804) Data 0.001 (0.003) Loss 2.5448 (2.6039) Prec@1 36.250 (36.890) Prec@5 66.875 (67.608) Epoch: [17][1940/11272] Time 0.896 (0.804) Data 0.001 (0.002) Loss 2.6493 (2.6044) Prec@1 33.750 (36.884) Prec@5 70.000 (67.599) Epoch: [17][1950/11272] Time 0.851 (0.804) Data 0.001 (0.002) Loss 2.6629 (2.6043) Prec@1 33.750 (36.887) Prec@5 67.500 (67.601) Epoch: [17][1960/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.6554 (2.6046) Prec@1 37.500 (36.876) Prec@5 65.000 (67.591) Epoch: [17][1970/11272] Time 0.737 (0.804) Data 0.001 (0.002) Loss 2.8039 (2.6046) Prec@1 29.375 (36.881) Prec@5 62.500 (67.586) Epoch: [17][1980/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.4080 (2.6042) Prec@1 45.000 (36.895) Prec@5 70.625 (67.597) Epoch: [17][1990/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 2.2526 (2.6039) Prec@1 44.375 (36.900) Prec@5 76.875 (67.595) Epoch: [17][2000/11272] Time 0.733 (0.804) Data 0.002 (0.002) Loss 2.5924 (2.6036) Prec@1 41.875 (36.909) Prec@5 69.375 (67.601) Epoch: [17][2010/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.4821 (2.6039) Prec@1 38.750 (36.903) Prec@5 67.500 (67.592) Epoch: [17][2020/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 2.4616 (2.6036) Prec@1 38.125 (36.906) Prec@5 71.875 (67.598) Epoch: [17][2030/11272] Time 0.837 (0.804) Data 0.001 (0.002) Loss 2.5427 (2.6040) Prec@1 38.750 (36.901) Prec@5 71.250 (67.588) Epoch: [17][2040/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.4168 (2.6034) Prec@1 38.750 (36.908) Prec@5 66.250 (67.598) Epoch: [17][2050/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.4541 (2.6034) Prec@1 41.250 (36.913) Prec@5 71.875 (67.601) Epoch: [17][2060/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.5261 (2.6035) Prec@1 35.000 (36.910) Prec@5 71.875 (67.593) Epoch: [17][2070/11272] Time 0.759 (0.803) Data 0.004 (0.002) Loss 2.6000 (2.6034) Prec@1 33.750 (36.911) Prec@5 73.125 (67.594) Epoch: [17][2080/11272] Time 0.749 (0.803) Data 0.002 (0.002) Loss 2.3867 (2.6032) Prec@1 45.000 (36.919) Prec@5 70.625 (67.593) Epoch: [17][2090/11272] Time 0.874 (0.803) Data 0.002 (0.002) Loss 2.6446 (2.6032) Prec@1 38.750 (36.917) Prec@5 63.125 (67.588) Epoch: [17][2100/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.4269 (2.6032) Prec@1 35.625 (36.913) Prec@5 70.000 (67.588) Epoch: [17][2110/11272] Time 0.741 (0.803) Data 0.001 (0.002) Loss 2.7639 (2.6031) Prec@1 34.375 (36.910) Prec@5 65.625 (67.588) Epoch: [17][2120/11272] Time 0.762 (0.804) Data 0.001 (0.002) Loss 2.7352 (2.6033) Prec@1 33.750 (36.902) Prec@5 62.500 (67.583) Epoch: [17][2130/11272] Time 0.873 (0.804) Data 0.001 (0.002) Loss 2.6024 (2.6032) Prec@1 36.250 (36.903) Prec@5 70.000 (67.584) Epoch: [17][2140/11272] Time 0.847 (0.804) Data 0.002 (0.002) Loss 2.6660 (2.6031) Prec@1 33.750 (36.903) Prec@5 66.875 (67.588) Epoch: [17][2150/11272] Time 0.742 (0.804) Data 0.001 (0.002) Loss 2.7668 (2.6032) Prec@1 37.500 (36.899) Prec@5 64.375 (67.583) Epoch: [17][2160/11272] Time 0.763 (0.804) Data 0.001 (0.002) Loss 2.7372 (2.6037) Prec@1 34.375 (36.895) Prec@5 66.250 (67.574) Epoch: [17][2170/11272] Time 0.912 (0.804) Data 0.002 (0.002) Loss 2.6244 (2.6038) Prec@1 35.000 (36.891) Prec@5 61.875 (67.567) Epoch: [17][2180/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.5918 (2.6038) Prec@1 36.250 (36.893) Prec@5 66.250 (67.570) Epoch: [17][2190/11272] Time 0.740 (0.804) Data 0.001 (0.002) Loss 2.6531 (2.6037) Prec@1 40.000 (36.897) Prec@5 68.125 (67.578) Epoch: [17][2200/11272] Time 0.890 (0.804) Data 0.001 (0.002) Loss 2.2945 (2.6037) Prec@1 39.375 (36.891) Prec@5 73.125 (67.579) Epoch: [17][2210/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 2.3226 (2.6035) Prec@1 43.125 (36.893) Prec@5 75.625 (67.586) Epoch: [17][2220/11272] Time 0.744 (0.804) Data 0.002 (0.002) Loss 2.9251 (2.6037) Prec@1 30.625 (36.891) Prec@5 59.375 (67.575) Epoch: [17][2230/11272] Time 0.703 (0.804) Data 0.001 (0.002) Loss 2.5670 (2.6037) Prec@1 42.500 (36.895) Prec@5 65.625 (67.576) Epoch: [17][2240/11272] Time 0.806 (0.804) Data 0.001 (0.002) Loss 2.6469 (2.6034) Prec@1 33.125 (36.904) Prec@5 68.125 (67.579) Epoch: [17][2250/11272] Time 0.867 (0.804) Data 0.002 (0.002) Loss 2.6753 (2.6035) Prec@1 34.375 (36.904) Prec@5 66.875 (67.579) Epoch: [17][2260/11272] Time 0.737 (0.803) Data 0.002 (0.002) Loss 2.6016 (2.6033) Prec@1 38.125 (36.906) Prec@5 72.500 (67.583) Epoch: [17][2270/11272] Time 0.731 (0.803) Data 0.001 (0.002) Loss 2.6218 (2.6034) Prec@1 35.000 (36.906) Prec@5 62.500 (67.581) Epoch: [17][2280/11272] Time 0.870 (0.803) Data 0.001 (0.002) Loss 2.6808 (2.6034) Prec@1 38.750 (36.909) Prec@5 68.125 (67.583) Epoch: [17][2290/11272] Time 0.843 (0.803) Data 0.003 (0.002) Loss 2.6852 (2.6034) Prec@1 40.625 (36.912) Prec@5 65.625 (67.579) Epoch: [17][2300/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.5585 (2.6035) Prec@1 36.250 (36.907) Prec@5 70.000 (67.579) Epoch: [17][2310/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 2.3518 (2.6034) Prec@1 38.125 (36.910) Prec@5 75.000 (67.581) Epoch: [17][2320/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.6012 (2.6036) Prec@1 37.500 (36.900) Prec@5 65.625 (67.580) Epoch: [17][2330/11272] Time 0.823 (0.803) Data 0.002 (0.002) Loss 2.4602 (2.6032) Prec@1 41.875 (36.913) Prec@5 71.250 (67.594) Epoch: [17][2340/11272] Time 0.745 (0.803) Data 0.001 (0.002) Loss 2.6187 (2.6036) Prec@1 36.875 (36.911) Prec@5 68.125 (67.583) Epoch: [17][2350/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 2.6270 (2.6037) Prec@1 35.000 (36.913) Prec@5 67.500 (67.583) Epoch: [17][2360/11272] Time 0.854 (0.803) Data 0.001 (0.002) Loss 2.8351 (2.6039) Prec@1 36.875 (36.908) Prec@5 58.125 (67.573) Epoch: [17][2370/11272] Time 0.721 (0.803) Data 0.001 (0.002) Loss 2.5049 (2.6040) Prec@1 37.500 (36.906) Prec@5 71.875 (67.573) Epoch: [17][2380/11272] Time 0.731 (0.803) Data 0.001 (0.002) Loss 2.6331 (2.6037) Prec@1 35.625 (36.911) Prec@5 66.250 (67.577) Epoch: [17][2390/11272] Time 0.895 (0.803) Data 0.002 (0.002) Loss 2.7905 (2.6040) Prec@1 40.000 (36.906) Prec@5 66.875 (67.577) Epoch: [17][2400/11272] Time 0.843 (0.803) Data 0.001 (0.002) Loss 2.5248 (2.6041) Prec@1 38.125 (36.908) Prec@5 70.000 (67.576) Epoch: [17][2410/11272] Time 0.729 (0.803) Data 0.001 (0.002) Loss 2.7130 (2.6040) Prec@1 36.875 (36.909) Prec@5 64.375 (67.575) Epoch: [17][2420/11272] Time 0.732 (0.803) Data 0.001 (0.002) Loss 2.7366 (2.6042) Prec@1 36.875 (36.907) Prec@5 67.500 (67.567) Epoch: [17][2430/11272] Time 0.918 (0.803) Data 0.002 (0.002) Loss 2.5698 (2.6043) Prec@1 36.875 (36.904) Prec@5 71.250 (67.567) Epoch: [17][2440/11272] Time 0.996 (0.804) Data 0.002 (0.002) Loss 2.7446 (2.6043) Prec@1 30.000 (36.901) Prec@5 61.875 (67.562) Epoch: [17][2450/11272] Time 0.709 (0.804) Data 0.001 (0.002) Loss 2.4810 (2.6039) Prec@1 42.500 (36.908) Prec@5 66.250 (67.563) Epoch: [17][2460/11272] Time 0.740 (0.804) Data 0.001 (0.002) Loss 2.8609 (2.6041) Prec@1 32.500 (36.902) Prec@5 63.750 (67.560) Epoch: [17][2470/11272] Time 0.899 (0.804) Data 0.002 (0.002) Loss 2.7934 (2.6043) Prec@1 36.250 (36.902) Prec@5 61.250 (67.556) Epoch: [17][2480/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.3647 (2.6045) Prec@1 38.125 (36.899) Prec@5 73.125 (67.549) Epoch: [17][2490/11272] Time 0.772 (0.804) Data 0.002 (0.002) Loss 2.9290 (2.6045) Prec@1 29.375 (36.897) Prec@5 61.250 (67.548) Epoch: [17][2500/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.7928 (2.6049) Prec@1 34.375 (36.891) Prec@5 65.000 (67.543) Epoch: [17][2510/11272] Time 0.883 (0.804) Data 0.002 (0.002) Loss 2.8177 (2.6053) Prec@1 33.125 (36.883) Prec@5 59.375 (67.535) Epoch: [17][2520/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.8021 (2.6056) Prec@1 38.750 (36.880) Prec@5 63.750 (67.528) Epoch: [17][2530/11272] Time 0.758 (0.804) Data 0.002 (0.002) Loss 2.6789 (2.6055) Prec@1 30.000 (36.876) Prec@5 64.375 (67.530) Epoch: [17][2540/11272] Time 0.888 (0.804) Data 0.001 (0.002) Loss 2.8100 (2.6058) Prec@1 35.000 (36.877) Prec@5 66.875 (67.530) Epoch: [17][2550/11272] Time 0.848 (0.804) Data 0.001 (0.002) Loss 2.8968 (2.6061) Prec@1 29.375 (36.868) Prec@5 61.875 (67.520) Epoch: [17][2560/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.6092 (2.6060) Prec@1 42.500 (36.873) Prec@5 67.500 (67.520) Epoch: [17][2570/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 2.6869 (2.6058) Prec@1 35.625 (36.869) Prec@5 60.625 (67.526) Epoch: [17][2580/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 2.2213 (2.6056) Prec@1 45.000 (36.875) Prec@5 70.625 (67.527) Epoch: [17][2590/11272] Time 0.845 (0.804) Data 0.002 (0.002) Loss 2.5168 (2.6054) Prec@1 36.250 (36.879) Prec@5 68.125 (67.535) Epoch: [17][2600/11272] Time 0.751 (0.804) Data 0.001 (0.002) Loss 2.5823 (2.6052) Prec@1 38.125 (36.880) Prec@5 65.625 (67.537) Epoch: [17][2610/11272] Time 0.878 (0.804) Data 0.001 (0.002) Loss 2.6435 (2.6049) Prec@1 36.250 (36.885) Prec@5 65.625 (67.540) Epoch: [17][2620/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.6217 (2.6051) Prec@1 37.500 (36.881) Prec@5 66.875 (67.534) Epoch: [17][2630/11272] Time 0.727 (0.804) Data 0.003 (0.002) Loss 2.5341 (2.6052) Prec@1 41.875 (36.879) Prec@5 68.125 (67.528) Epoch: [17][2640/11272] Time 0.747 (0.804) Data 0.001 (0.002) Loss 2.8434 (2.6055) Prec@1 34.375 (36.874) Prec@5 66.250 (67.522) Epoch: [17][2650/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.6201 (2.6054) Prec@1 37.500 (36.876) Prec@5 67.500 (67.522) Epoch: [17][2660/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.6910 (2.6057) Prec@1 38.125 (36.871) Prec@5 65.625 (67.518) Epoch: [17][2670/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.4516 (2.6057) Prec@1 38.750 (36.873) Prec@5 70.000 (67.517) Epoch: [17][2680/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.5960 (2.6054) Prec@1 39.375 (36.878) Prec@5 68.750 (67.523) Epoch: [17][2690/11272] Time 0.861 (0.804) Data 0.001 (0.002) Loss 2.7931 (2.6056) Prec@1 38.125 (36.875) Prec@5 61.875 (67.521) Epoch: [17][2700/11272] Time 0.867 (0.804) Data 0.002 (0.002) Loss 2.3871 (2.6056) Prec@1 41.875 (36.878) Prec@5 70.625 (67.522) Epoch: [17][2710/11272] Time 0.823 (0.804) Data 0.001 (0.002) Loss 2.6616 (2.6057) Prec@1 32.500 (36.871) Prec@5 70.000 (67.525) Epoch: [17][2720/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.7508 (2.6056) Prec@1 38.125 (36.874) Prec@5 67.500 (67.531) Epoch: [17][2730/11272] Time 0.896 (0.804) Data 0.002 (0.002) Loss 2.2957 (2.6055) Prec@1 40.000 (36.877) Prec@5 73.750 (67.541) Epoch: [17][2740/11272] Time 0.766 (0.804) Data 0.003 (0.002) Loss 2.6407 (2.6054) Prec@1 38.750 (36.876) Prec@5 63.750 (67.543) Epoch: [17][2750/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.1796 (2.6051) Prec@1 43.750 (36.881) Prec@5 76.250 (67.550) Epoch: [17][2760/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.6779 (2.6051) Prec@1 35.000 (36.886) Prec@5 69.375 (67.547) Epoch: [17][2770/11272] Time 0.853 (0.804) Data 0.002 (0.002) Loss 2.2506 (2.6048) Prec@1 39.375 (36.892) Prec@5 74.375 (67.551) Epoch: [17][2780/11272] Time 0.769 (0.804) Data 0.001 (0.002) Loss 2.5071 (2.6051) Prec@1 41.875 (36.883) Prec@5 69.375 (67.546) Epoch: [17][2790/11272] Time 0.731 (0.804) Data 0.002 (0.002) Loss 2.4223 (2.6050) Prec@1 35.000 (36.879) Prec@5 70.000 (67.543) Epoch: [17][2800/11272] Time 0.843 (0.804) Data 0.002 (0.002) Loss 2.8415 (2.6054) Prec@1 33.750 (36.874) Prec@5 65.625 (67.536) Epoch: [17][2810/11272] Time 0.817 (0.804) Data 0.001 (0.002) Loss 2.7477 (2.6056) Prec@1 38.750 (36.873) Prec@5 66.250 (67.534) Epoch: [17][2820/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 2.3053 (2.6055) Prec@1 44.375 (36.872) Prec@5 74.375 (67.537) Epoch: [17][2830/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.6126 (2.6059) Prec@1 35.625 (36.862) Prec@5 68.125 (67.531) Epoch: [17][2840/11272] Time 0.865 (0.804) Data 0.002 (0.002) Loss 2.4777 (2.6055) Prec@1 43.125 (36.872) Prec@5 66.875 (67.539) Epoch: [17][2850/11272] Time 0.823 (0.804) Data 0.001 (0.002) Loss 2.9468 (2.6056) Prec@1 34.375 (36.872) Prec@5 68.125 (67.541) Epoch: [17][2860/11272] Time 0.762 (0.804) Data 0.002 (0.002) Loss 2.5708 (2.6055) Prec@1 36.250 (36.878) Prec@5 70.000 (67.545) Epoch: [17][2870/11272] Time 0.834 (0.804) Data 0.001 (0.002) Loss 2.5566 (2.6053) Prec@1 40.000 (36.885) Prec@5 66.250 (67.549) Epoch: [17][2880/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 2.5316 (2.6055) Prec@1 30.625 (36.878) Prec@5 65.625 (67.541) Epoch: [17][2890/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.5085 (2.6054) Prec@1 40.625 (36.880) Prec@5 66.250 (67.542) Epoch: [17][2900/11272] Time 0.733 (0.804) Data 0.002 (0.002) Loss 2.6182 (2.6053) Prec@1 35.625 (36.883) Prec@5 67.500 (67.542) Epoch: [17][2910/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 2.8561 (2.6055) Prec@1 31.250 (36.883) Prec@5 61.250 (67.538) Epoch: [17][2920/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.5054 (2.6055) Prec@1 41.875 (36.884) Prec@5 68.750 (67.541) Epoch: [17][2930/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.4489 (2.6054) Prec@1 36.250 (36.882) Prec@5 73.125 (67.543) Epoch: [17][2940/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.3825 (2.6053) Prec@1 38.750 (36.884) Prec@5 71.875 (67.542) Epoch: [17][2950/11272] Time 0.852 (0.804) Data 0.001 (0.002) Loss 2.7034 (2.6054) Prec@1 31.875 (36.880) Prec@5 60.625 (67.539) Epoch: [17][2960/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.6676 (2.6054) Prec@1 36.875 (36.878) Prec@5 68.125 (67.538) Epoch: [17][2970/11272] Time 0.802 (0.804) Data 0.001 (0.002) Loss 2.9496 (2.6054) Prec@1 30.000 (36.877) Prec@5 56.250 (67.530) Epoch: [17][2980/11272] Time 0.748 (0.804) Data 0.002 (0.002) Loss 2.7916 (2.6056) Prec@1 37.500 (36.876) Prec@5 61.250 (67.524) Epoch: [17][2990/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.6088 (2.6056) Prec@1 36.875 (36.879) Prec@5 65.625 (67.521) Epoch: [17][3000/11272] Time 0.749 (0.804) Data 0.003 (0.002) Loss 2.6219 (2.6058) Prec@1 39.375 (36.877) Prec@5 67.500 (67.520) Epoch: [17][3010/11272] Time 0.709 (0.804) Data 0.001 (0.002) Loss 2.7953 (2.6059) Prec@1 40.000 (36.882) Prec@5 59.375 (67.518) Epoch: [17][3020/11272] Time 0.913 (0.804) Data 0.002 (0.002) Loss 2.8375 (2.6061) Prec@1 33.125 (36.879) Prec@5 65.625 (67.519) Epoch: [17][3030/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 2.6719 (2.6060) Prec@1 35.625 (36.879) Prec@5 68.125 (67.521) Epoch: [17][3040/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5933 (2.6060) Prec@1 36.875 (36.878) Prec@5 63.750 (67.524) Epoch: [17][3050/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.4698 (2.6061) Prec@1 37.500 (36.875) Prec@5 70.000 (67.523) Epoch: [17][3060/11272] Time 0.891 (0.804) Data 0.002 (0.002) Loss 2.8919 (2.6066) Prec@1 31.875 (36.863) Prec@5 56.875 (67.513) Epoch: [17][3070/11272] Time 0.910 (0.804) Data 0.002 (0.002) Loss 2.6040 (2.6067) Prec@1 35.000 (36.857) Prec@5 67.500 (67.510) Epoch: [17][3080/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.6601 (2.6069) Prec@1 33.750 (36.854) Prec@5 64.375 (67.512) Epoch: [17][3090/11272] Time 0.777 (0.804) Data 0.002 (0.002) Loss 2.3300 (2.6068) Prec@1 43.750 (36.856) Prec@5 73.750 (67.514) Epoch: [17][3100/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.5350 (2.6070) Prec@1 36.875 (36.851) Prec@5 68.750 (67.514) Epoch: [17][3110/11272] Time 0.892 (0.804) Data 0.002 (0.002) Loss 2.4960 (2.6067) Prec@1 42.500 (36.858) Prec@5 68.750 (67.516) Epoch: [17][3120/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.7529 (2.6069) Prec@1 31.250 (36.853) Prec@5 66.250 (67.514) Epoch: [17][3130/11272] Time 0.827 (0.804) Data 0.001 (0.002) Loss 2.5353 (2.6068) Prec@1 40.625 (36.856) Prec@5 65.625 (67.513) Epoch: [17][3140/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 2.5049 (2.6068) Prec@1 35.625 (36.855) Prec@5 68.750 (67.513) Epoch: [17][3150/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.4179 (2.6069) Prec@1 42.500 (36.853) Prec@5 70.000 (67.513) Epoch: [17][3160/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.5811 (2.6066) Prec@1 33.750 (36.859) Prec@5 68.125 (67.517) Epoch: [17][3170/11272] Time 0.884 (0.804) Data 0.002 (0.002) Loss 2.6679 (2.6067) Prec@1 33.125 (36.859) Prec@5 68.125 (67.518) Epoch: [17][3180/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.7018 (2.6066) Prec@1 38.750 (36.863) Prec@5 61.875 (67.521) Epoch: [17][3190/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.6438 (2.6068) Prec@1 34.375 (36.864) Prec@5 65.000 (67.519) Epoch: [17][3200/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.7891 (2.6071) Prec@1 32.500 (36.856) Prec@5 65.625 (67.515) Epoch: [17][3210/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 2.7262 (2.6070) Prec@1 26.875 (36.859) Prec@5 65.000 (67.519) Epoch: [17][3220/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.2766 (2.6070) Prec@1 42.500 (36.858) Prec@5 73.750 (67.519) Epoch: [17][3230/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.8268 (2.6070) Prec@1 37.500 (36.857) Prec@5 64.375 (67.519) Epoch: [17][3240/11272] Time 0.737 (0.804) Data 0.002 (0.002) Loss 2.6415 (2.6070) Prec@1 35.000 (36.859) Prec@5 66.875 (67.520) Epoch: [17][3250/11272] Time 0.863 (0.804) Data 0.001 (0.002) Loss 2.7251 (2.6069) Prec@1 36.875 (36.866) Prec@5 63.125 (67.516) Epoch: [17][3260/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.6947 (2.6069) Prec@1 38.125 (36.870) Prec@5 67.500 (67.518) Epoch: [17][3270/11272] Time 0.744 (0.804) Data 0.001 (0.002) Loss 2.5742 (2.6070) Prec@1 40.000 (36.868) Prec@5 66.875 (67.516) Epoch: [17][3280/11272] Time 0.883 (0.804) Data 0.001 (0.002) Loss 2.5286 (2.6072) Prec@1 38.125 (36.861) Prec@5 64.375 (67.509) Epoch: [17][3290/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.7155 (2.6071) Prec@1 38.750 (36.862) Prec@5 65.000 (67.511) Epoch: [17][3300/11272] Time 0.744 (0.804) Data 0.001 (0.002) Loss 2.5956 (2.6071) Prec@1 33.750 (36.862) Prec@5 65.625 (67.510) Epoch: [17][3310/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.8186 (2.6074) Prec@1 31.250 (36.855) Prec@5 64.375 (67.508) Epoch: [17][3320/11272] Time 0.865 (0.804) Data 0.002 (0.002) Loss 2.3471 (2.6072) Prec@1 37.500 (36.855) Prec@5 71.250 (67.513) Epoch: [17][3330/11272] Time 0.899 (0.804) Data 0.002 (0.002) Loss 2.3510 (2.6072) Prec@1 41.250 (36.850) Prec@5 69.375 (67.511) Epoch: [17][3340/11272] Time 0.802 (0.804) Data 0.002 (0.002) Loss 2.8748 (2.6072) Prec@1 30.625 (36.853) Prec@5 62.500 (67.511) Epoch: [17][3350/11272] Time 0.799 (0.804) Data 0.002 (0.002) Loss 2.4438 (2.6072) Prec@1 38.125 (36.854) Prec@5 75.625 (67.512) Epoch: [17][3360/11272] Time 0.875 (0.804) Data 0.002 (0.002) Loss 2.6687 (2.6073) Prec@1 35.625 (36.850) Prec@5 65.625 (67.506) Epoch: [17][3370/11272] Time 0.852 (0.804) Data 0.001 (0.002) Loss 2.5074 (2.6073) Prec@1 43.750 (36.853) Prec@5 68.750 (67.508) Epoch: [17][3380/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.7862 (2.6073) Prec@1 37.500 (36.853) Prec@5 61.875 (67.504) Epoch: [17][3390/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.4833 (2.6073) Prec@1 39.375 (36.855) Prec@5 68.750 (67.505) Epoch: [17][3400/11272] Time 0.941 (0.804) Data 0.002 (0.002) Loss 2.7316 (2.6074) Prec@1 36.875 (36.857) Prec@5 63.750 (67.503) Epoch: [17][3410/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.7819 (2.6076) Prec@1 30.625 (36.851) Prec@5 64.375 (67.503) Epoch: [17][3420/11272] Time 0.760 (0.804) Data 0.002 (0.002) Loss 2.6530 (2.6077) Prec@1 41.250 (36.849) Prec@5 68.125 (67.503) Epoch: [17][3430/11272] Time 0.896 (0.804) Data 0.002 (0.002) Loss 2.5984 (2.6079) Prec@1 43.750 (36.844) Prec@5 72.500 (67.501) Epoch: [17][3440/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 2.7063 (2.6078) Prec@1 31.875 (36.846) Prec@5 69.375 (67.503) Epoch: [17][3450/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.8789 (2.6078) Prec@1 32.500 (36.850) Prec@5 62.500 (67.502) Epoch: [17][3460/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.4517 (2.6077) Prec@1 34.375 (36.852) Prec@5 73.125 (67.504) Epoch: [17][3470/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 2.6371 (2.6076) Prec@1 37.500 (36.854) Prec@5 66.875 (67.508) Epoch: [17][3480/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.9175 (2.6078) Prec@1 30.625 (36.851) Prec@5 59.375 (67.503) Epoch: [17][3490/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.5134 (2.6076) Prec@1 40.625 (36.857) Prec@5 65.625 (67.506) Epoch: [17][3500/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.5438 (2.6075) Prec@1 38.125 (36.858) Prec@5 68.750 (67.507) Epoch: [17][3510/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 2.8316 (2.6075) Prec@1 30.000 (36.855) Prec@5 65.625 (67.508) Epoch: [17][3520/11272] Time 0.927 (0.804) Data 0.002 (0.002) Loss 2.5671 (2.6076) Prec@1 35.625 (36.852) Prec@5 64.375 (67.506) Epoch: [17][3530/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.9304 (2.6078) Prec@1 31.250 (36.848) Prec@5 61.250 (67.502) Epoch: [17][3540/11272] Time 0.875 (0.804) Data 0.002 (0.002) Loss 2.3263 (2.6077) Prec@1 45.000 (36.849) Prec@5 74.375 (67.505) Epoch: [17][3550/11272] Time 0.838 (0.804) Data 0.003 (0.002) Loss 2.6343 (2.6077) Prec@1 32.500 (36.846) Prec@5 67.500 (67.506) Epoch: [17][3560/11272] Time 0.750 (0.804) Data 0.002 (0.002) Loss 2.6325 (2.6076) Prec@1 32.500 (36.846) Prec@5 70.000 (67.508) Epoch: [17][3570/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.6578 (2.6076) Prec@1 35.625 (36.847) Prec@5 66.250 (67.507) Epoch: [17][3580/11272] Time 0.873 (0.804) Data 0.002 (0.002) Loss 2.6600 (2.6075) Prec@1 31.250 (36.846) Prec@5 68.125 (67.512) Epoch: [17][3590/11272] Time 0.853 (0.804) Data 0.002 (0.002) Loss 2.7293 (2.6074) Prec@1 34.375 (36.847) Prec@5 65.625 (67.513) Epoch: [17][3600/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.4558 (2.6072) Prec@1 41.250 (36.852) Prec@5 71.250 (67.518) Epoch: [17][3610/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.6470 (2.6070) Prec@1 33.750 (36.854) Prec@5 66.875 (67.520) Epoch: [17][3620/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.6614 (2.6070) Prec@1 34.375 (36.851) Prec@5 67.500 (67.520) Epoch: [17][3630/11272] Time 0.871 (0.804) Data 0.002 (0.002) Loss 2.3738 (2.6071) Prec@1 38.750 (36.846) Prec@5 67.500 (67.514) Epoch: [17][3640/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.5536 (2.6070) Prec@1 29.375 (36.846) Prec@5 72.500 (67.521) Epoch: [17][3650/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.6278 (2.6071) Prec@1 36.875 (36.844) Prec@5 63.750 (67.518) Epoch: [17][3660/11272] Time 0.838 (0.804) Data 0.001 (0.002) Loss 2.8534 (2.6071) Prec@1 31.875 (36.842) Prec@5 61.875 (67.516) Epoch: [17][3670/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.7372 (2.6073) Prec@1 36.250 (36.843) Prec@5 61.875 (67.509) Epoch: [17][3680/11272] Time 0.764 (0.804) Data 0.001 (0.002) Loss 2.6208 (2.6075) Prec@1 35.625 (36.834) Prec@5 68.125 (67.501) Epoch: [17][3690/11272] Time 0.850 (0.804) Data 0.001 (0.002) Loss 2.6624 (2.6076) Prec@1 38.750 (36.831) Prec@5 68.750 (67.503) Epoch: [17][3700/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 2.6560 (2.6076) Prec@1 33.125 (36.831) Prec@5 63.125 (67.501) Epoch: [17][3710/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.3793 (2.6076) Prec@1 38.125 (36.830) Prec@5 70.625 (67.502) Epoch: [17][3720/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.5321 (2.6075) Prec@1 35.000 (36.830) Prec@5 70.000 (67.504) Epoch: [17][3730/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.3883 (2.6075) Prec@1 40.625 (36.827) Prec@5 68.125 (67.503) Epoch: [17][3740/11272] Time 0.899 (0.804) Data 0.001 (0.002) Loss 2.5943 (2.6074) Prec@1 40.625 (36.828) Prec@5 66.875 (67.503) Epoch: [17][3750/11272] Time 0.751 (0.804) Data 0.002 (0.002) Loss 2.6632 (2.6074) Prec@1 35.625 (36.827) Prec@5 68.750 (67.503) Epoch: [17][3760/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.7038 (2.6076) Prec@1 36.250 (36.830) Prec@5 66.250 (67.499) Epoch: [17][3770/11272] Time 0.840 (0.804) Data 0.001 (0.002) Loss 2.7443 (2.6075) Prec@1 41.250 (36.832) Prec@5 60.625 (67.496) Epoch: [17][3780/11272] Time 0.834 (0.804) Data 0.002 (0.002) Loss 2.3085 (2.6072) Prec@1 41.875 (36.838) Prec@5 76.250 (67.503) Epoch: [17][3790/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.4845 (2.6073) Prec@1 40.625 (36.840) Prec@5 68.125 (67.500) Epoch: [17][3800/11272] Time 0.894 (0.804) Data 0.001 (0.002) Loss 2.2309 (2.6073) Prec@1 42.500 (36.839) Prec@5 76.250 (67.499) Epoch: [17][3810/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 2.6822 (2.6073) Prec@1 38.125 (36.836) Prec@5 70.000 (67.500) Epoch: [17][3820/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.5444 (2.6073) Prec@1 30.625 (36.835) Prec@5 72.500 (67.500) Epoch: [17][3830/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.7159 (2.6075) Prec@1 35.000 (36.835) Prec@5 63.750 (67.498) Epoch: [17][3840/11272] Time 0.855 (0.804) Data 0.001 (0.002) Loss 2.6451 (2.6077) Prec@1 37.500 (36.829) Prec@5 65.000 (67.490) Epoch: [17][3850/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.9664 (2.6078) Prec@1 29.375 (36.822) Prec@5 56.875 (67.487) Epoch: [17][3860/11272] Time 0.751 (0.804) Data 0.002 (0.002) Loss 2.5526 (2.6080) Prec@1 35.000 (36.820) Prec@5 68.750 (67.484) Epoch: [17][3870/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.6667 (2.6077) Prec@1 35.625 (36.824) Prec@5 63.750 (67.487) Epoch: [17][3880/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 2.7747 (2.6078) Prec@1 31.875 (36.819) Prec@5 63.750 (67.485) Epoch: [17][3890/11272] Time 0.850 (0.804) Data 0.002 (0.002) Loss 2.5999 (2.6076) Prec@1 34.375 (36.824) Prec@5 68.750 (67.488) Epoch: [17][3900/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.6257 (2.6075) Prec@1 36.250 (36.827) Prec@5 66.250 (67.487) Epoch: [17][3910/11272] Time 0.742 (0.804) Data 0.001 (0.002) Loss 2.8120 (2.6075) Prec@1 31.250 (36.825) Prec@5 64.375 (67.488) Epoch: [17][3920/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 2.4715 (2.6075) Prec@1 36.250 (36.824) Prec@5 70.000 (67.487) Epoch: [17][3930/11272] Time 0.738 (0.804) Data 0.003 (0.002) Loss 2.3880 (2.6075) Prec@1 36.875 (36.824) Prec@5 74.375 (67.487) Epoch: [17][3940/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.4951 (2.6075) Prec@1 38.125 (36.822) Prec@5 70.625 (67.486) Epoch: [17][3950/11272] Time 0.828 (0.804) Data 0.001 (0.002) Loss 2.5246 (2.6075) Prec@1 31.875 (36.823) Prec@5 68.125 (67.486) Epoch: [17][3960/11272] Time 0.906 (0.804) Data 0.002 (0.002) Loss 2.5609 (2.6076) Prec@1 37.500 (36.823) Prec@5 65.625 (67.486) Epoch: [17][3970/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.7650 (2.6077) Prec@1 31.250 (36.823) Prec@5 66.250 (67.484) Epoch: [17][3980/11272] Time 0.721 (0.804) Data 0.001 (0.002) Loss 2.5043 (2.6076) Prec@1 38.125 (36.827) Prec@5 67.500 (67.488) Epoch: [17][3990/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.5575 (2.6078) Prec@1 37.500 (36.821) Prec@5 70.625 (67.485) Epoch: [17][4000/11272] Time 0.802 (0.804) Data 0.001 (0.002) Loss 2.6708 (2.6077) Prec@1 41.875 (36.819) Prec@5 65.000 (67.486) Epoch: [17][4010/11272] Time 0.722 (0.804) Data 0.001 (0.002) Loss 2.5191 (2.6077) Prec@1 40.000 (36.815) Prec@5 70.000 (67.490) Epoch: [17][4020/11272] Time 0.750 (0.804) Data 0.001 (0.002) Loss 2.6339 (2.6077) Prec@1 36.250 (36.816) Prec@5 66.875 (67.490) Epoch: [17][4030/11272] Time 0.905 (0.804) Data 0.002 (0.002) Loss 2.6559 (2.6078) Prec@1 31.875 (36.812) Prec@5 65.000 (67.484) Epoch: [17][4040/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.7771 (2.6077) Prec@1 36.875 (36.816) Prec@5 61.250 (67.487) Epoch: [17][4050/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.5605 (2.6077) Prec@1 35.000 (36.814) Prec@5 67.500 (67.487) Epoch: [17][4060/11272] Time 0.856 (0.804) Data 0.001 (0.002) Loss 2.6317 (2.6076) Prec@1 37.500 (36.815) Prec@5 68.750 (67.490) Epoch: [17][4070/11272] Time 0.902 (0.804) Data 0.002 (0.002) Loss 2.5335 (2.6077) Prec@1 34.375 (36.811) Prec@5 65.625 (67.489) Epoch: [17][4080/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.6298 (2.6076) Prec@1 33.750 (36.815) Prec@5 66.250 (67.487) Epoch: [17][4090/11272] Time 0.744 (0.804) Data 0.001 (0.002) Loss 2.7601 (2.6078) Prec@1 35.625 (36.809) Prec@5 60.000 (67.483) Epoch: [17][4100/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 2.5816 (2.6076) Prec@1 39.375 (36.811) Prec@5 68.750 (67.486) Epoch: [17][4110/11272] Time 0.839 (0.804) Data 0.001 (0.002) Loss 2.5997 (2.6076) Prec@1 31.875 (36.810) Prec@5 69.375 (67.484) Epoch: [17][4120/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.5774 (2.6076) Prec@1 41.250 (36.809) Prec@5 68.125 (67.483) Epoch: [17][4130/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.4394 (2.6077) Prec@1 38.125 (36.808) Prec@5 71.875 (67.481) Epoch: [17][4140/11272] Time 0.890 (0.804) Data 0.005 (0.002) Loss 2.3084 (2.6076) Prec@1 43.125 (36.810) Prec@5 74.375 (67.484) Epoch: [17][4150/11272] Time 0.841 (0.804) Data 0.002 (0.002) Loss 2.8113 (2.6076) Prec@1 35.000 (36.813) Prec@5 60.625 (67.481) Epoch: [17][4160/11272] Time 0.761 (0.804) Data 0.001 (0.002) Loss 2.5967 (2.6078) Prec@1 36.875 (36.809) Prec@5 67.500 (67.476) Epoch: [17][4170/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 2.3864 (2.6078) Prec@1 38.750 (36.809) Prec@5 73.750 (67.474) Epoch: [17][4180/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 2.5103 (2.6080) Prec@1 36.250 (36.804) Prec@5 66.875 (67.468) Epoch: [17][4190/11272] Time 0.798 (0.804) Data 0.001 (0.002) Loss 2.3447 (2.6078) Prec@1 41.875 (36.806) Prec@5 71.875 (67.472) Epoch: [17][4200/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.6791 (2.6077) Prec@1 36.875 (36.805) Prec@5 66.250 (67.475) Epoch: [17][4210/11272] Time 0.904 (0.804) Data 0.002 (0.002) Loss 2.5709 (2.6076) Prec@1 41.875 (36.809) Prec@5 66.250 (67.474) Epoch: [17][4220/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 2.7158 (2.6076) Prec@1 36.875 (36.811) Prec@5 66.250 (67.476) Epoch: [17][4230/11272] Time 0.727 (0.804) Data 0.001 (0.002) Loss 2.6574 (2.6076) Prec@1 33.750 (36.812) Prec@5 65.625 (67.475) Epoch: [17][4240/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.6098 (2.6077) Prec@1 34.375 (36.813) Prec@5 68.125 (67.476) Epoch: [17][4250/11272] Time 0.916 (0.804) Data 0.002 (0.002) Loss 2.6389 (2.6078) Prec@1 31.250 (36.810) Prec@5 66.875 (67.474) Epoch: [17][4260/11272] Time 0.849 (0.804) Data 0.001 (0.002) Loss 2.7054 (2.6078) Prec@1 32.500 (36.812) Prec@5 66.250 (67.474) Epoch: [17][4270/11272] Time 0.739 (0.804) Data 0.001 (0.002) Loss 2.4743 (2.6078) Prec@1 41.250 (36.812) Prec@5 65.000 (67.474) Epoch: [17][4280/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.6024 (2.6078) Prec@1 41.250 (36.815) Prec@5 65.000 (67.474) Epoch: [17][4290/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 2.4960 (2.6079) Prec@1 41.250 (36.814) Prec@5 70.000 (67.476) Epoch: [17][4300/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.5050 (2.6077) Prec@1 40.625 (36.816) Prec@5 68.125 (67.477) Epoch: [17][4310/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.5778 (2.6077) Prec@1 38.750 (36.813) Prec@5 70.625 (67.479) Epoch: [17][4320/11272] Time 0.750 (0.804) Data 0.002 (0.002) Loss 2.5188 (2.6076) Prec@1 36.250 (36.812) Prec@5 70.000 (67.479) Epoch: [17][4330/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 2.3940 (2.6076) Prec@1 39.375 (36.816) Prec@5 73.750 (67.481) Epoch: [17][4340/11272] Time 0.764 (0.804) Data 0.001 (0.002) Loss 2.6442 (2.6076) Prec@1 34.375 (36.816) Prec@5 70.000 (67.484) Epoch: [17][4350/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.6930 (2.6077) Prec@1 35.000 (36.818) Prec@5 68.125 (67.483) Epoch: [17][4360/11272] Time 0.913 (0.804) Data 0.002 (0.002) Loss 2.7521 (2.6078) Prec@1 33.750 (36.814) Prec@5 61.875 (67.482) Epoch: [17][4370/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 2.6529 (2.6077) Prec@1 38.125 (36.817) Prec@5 65.625 (67.484) Epoch: [17][4380/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.6485 (2.6078) Prec@1 39.375 (36.817) Prec@5 66.875 (67.484) Epoch: [17][4390/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5858 (2.6078) Prec@1 35.625 (36.816) Prec@5 69.375 (67.482) Epoch: [17][4400/11272] Time 0.875 (0.804) Data 0.002 (0.002) Loss 2.8287 (2.6078) Prec@1 36.250 (36.815) Prec@5 61.875 (67.481) Epoch: [17][4410/11272] Time 0.871 (0.804) Data 0.002 (0.002) Loss 2.5224 (2.6078) Prec@1 42.500 (36.813) Prec@5 71.250 (67.480) Epoch: [17][4420/11272] Time 0.720 (0.804) Data 0.001 (0.002) Loss 2.6013 (2.6077) Prec@1 43.125 (36.818) Prec@5 65.000 (67.482) Epoch: [17][4430/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.6863 (2.6078) Prec@1 35.000 (36.814) Prec@5 66.250 (67.479) Epoch: [17][4440/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.5337 (2.6079) Prec@1 41.875 (36.815) Prec@5 71.250 (67.480) Epoch: [17][4450/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.7304 (2.6079) Prec@1 36.250 (36.817) Prec@5 63.125 (67.481) Epoch: [17][4460/11272] Time 0.723 (0.804) Data 0.001 (0.002) Loss 2.5431 (2.6078) Prec@1 37.500 (36.819) Prec@5 71.250 (67.485) Epoch: [17][4470/11272] Time 0.894 (0.804) Data 0.002 (0.002) Loss 2.5279 (2.6077) Prec@1 37.500 (36.823) Prec@5 68.125 (67.484) Epoch: [17][4480/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.6547 (2.6078) Prec@1 34.375 (36.819) Prec@5 64.375 (67.481) Epoch: [17][4490/11272] Time 0.717 (0.804) Data 0.001 (0.002) Loss 2.5428 (2.6077) Prec@1 43.125 (36.824) Prec@5 72.500 (67.483) Epoch: [17][4500/11272] Time 0.755 (0.804) Data 0.002 (0.002) Loss 2.6978 (2.6077) Prec@1 36.875 (36.824) Prec@5 67.500 (67.483) Epoch: [17][4510/11272] Time 0.888 (0.804) Data 0.002 (0.002) Loss 2.4426 (2.6076) Prec@1 38.750 (36.824) Prec@5 72.500 (67.484) Epoch: [17][4520/11272] Time 0.893 (0.804) Data 0.002 (0.002) Loss 2.6894 (2.6075) Prec@1 30.625 (36.825) Prec@5 71.875 (67.485) Epoch: [17][4530/11272] Time 0.757 (0.804) Data 0.005 (0.002) Loss 2.5755 (2.6074) Prec@1 36.875 (36.827) Prec@5 72.500 (67.485) Epoch: [17][4540/11272] Time 0.748 (0.804) Data 0.002 (0.002) Loss 2.5944 (2.6073) Prec@1 33.750 (36.826) Prec@5 66.875 (67.488) Epoch: [17][4550/11272] Time 0.875 (0.804) Data 0.001 (0.002) Loss 2.3221 (2.6071) Prec@1 37.500 (36.828) Prec@5 73.750 (67.493) Epoch: [17][4560/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.4679 (2.6070) Prec@1 37.500 (36.830) Prec@5 70.000 (67.497) Epoch: [17][4570/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.7151 (2.6070) Prec@1 35.625 (36.830) Prec@5 66.875 (67.499) Epoch: [17][4580/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.6779 (2.6070) Prec@1 36.250 (36.827) Prec@5 63.125 (67.497) Epoch: [17][4590/11272] Time 0.878 (0.804) Data 0.002 (0.002) Loss 2.4847 (2.6069) Prec@1 43.125 (36.830) Prec@5 71.875 (67.500) Epoch: [17][4600/11272] Time 0.787 (0.804) Data 0.003 (0.002) Loss 2.4534 (2.6070) Prec@1 39.375 (36.831) Prec@5 72.500 (67.500) Epoch: [17][4610/11272] Time 0.716 (0.804) Data 0.001 (0.002) Loss 2.2658 (2.6069) Prec@1 41.250 (36.832) Prec@5 75.625 (67.503) Epoch: [17][4620/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.7416 (2.6070) Prec@1 31.250 (36.831) Prec@5 64.375 (67.502) Epoch: [17][4630/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 2.8313 (2.6071) Prec@1 31.250 (36.826) Prec@5 64.375 (67.499) Epoch: [17][4640/11272] Time 0.746 (0.804) Data 0.002 (0.002) Loss 2.4750 (2.6072) Prec@1 41.250 (36.822) Prec@5 68.125 (67.497) Epoch: [17][4650/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.6183 (2.6072) Prec@1 35.625 (36.824) Prec@5 63.750 (67.495) Epoch: [17][4660/11272] Time 0.847 (0.804) Data 0.001 (0.002) Loss 2.5557 (2.6071) Prec@1 36.250 (36.825) Prec@5 67.500 (67.497) Epoch: [17][4670/11272] Time 0.834 (0.804) Data 0.001 (0.002) Loss 2.7522 (2.6071) Prec@1 40.000 (36.826) Prec@5 64.375 (67.498) Epoch: [17][4680/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.5622 (2.6072) Prec@1 41.250 (36.822) Prec@5 68.750 (67.496) Epoch: [17][4690/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.4159 (2.6072) Prec@1 41.250 (36.821) Prec@5 70.625 (67.497) Epoch: [17][4700/11272] Time 0.844 (0.804) Data 0.001 (0.002) Loss 2.7470 (2.6071) Prec@1 33.750 (36.822) Prec@5 66.875 (67.503) Epoch: [17][4710/11272] Time 0.881 (0.804) Data 0.001 (0.002) Loss 2.8827 (2.6070) Prec@1 27.500 (36.822) Prec@5 63.125 (67.506) Epoch: [17][4720/11272] Time 0.747 (0.804) Data 0.001 (0.002) Loss 2.5484 (2.6069) Prec@1 39.375 (36.824) Prec@5 73.125 (67.505) Epoch: [17][4730/11272] Time 0.907 (0.804) Data 0.002 (0.002) Loss 2.4361 (2.6068) Prec@1 41.875 (36.825) Prec@5 71.250 (67.507) Epoch: [17][4740/11272] Time 0.864 (0.804) Data 0.001 (0.002) Loss 2.4850 (2.6067) Prec@1 38.125 (36.829) Prec@5 70.000 (67.507) Epoch: [17][4750/11272] Time 0.719 (0.804) Data 0.001 (0.002) Loss 2.5010 (2.6066) Prec@1 41.250 (36.835) Prec@5 73.750 (67.509) Epoch: [17][4760/11272] Time 0.720 (0.804) Data 0.001 (0.002) Loss 2.6063 (2.6065) Prec@1 38.750 (36.836) Prec@5 71.875 (67.512) Epoch: [17][4770/11272] Time 0.873 (0.804) Data 0.002 (0.002) Loss 2.7230 (2.6065) Prec@1 38.125 (36.836) Prec@5 65.000 (67.514) Epoch: [17][4780/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 2.7524 (2.6065) Prec@1 31.875 (36.836) Prec@5 65.625 (67.514) Epoch: [17][4790/11272] Time 0.757 (0.804) Data 0.002 (0.002) Loss 2.4478 (2.6064) Prec@1 38.750 (36.836) Prec@5 74.375 (67.518) Epoch: [17][4800/11272] Time 0.745 (0.804) Data 0.002 (0.002) Loss 2.7055 (2.6064) Prec@1 30.000 (36.832) Prec@5 64.375 (67.517) Epoch: [17][4810/11272] Time 0.904 (0.804) Data 0.002 (0.002) Loss 2.8439 (2.6063) Prec@1 35.000 (36.833) Prec@5 61.875 (67.516) Epoch: [17][4820/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 2.5941 (2.6063) Prec@1 38.125 (36.835) Prec@5 64.375 (67.514) Epoch: [17][4830/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.4668 (2.6063) Prec@1 35.625 (36.834) Prec@5 73.125 (67.515) Epoch: [17][4840/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.6308 (2.6060) Prec@1 39.375 (36.838) Prec@5 64.375 (67.520) Epoch: [17][4850/11272] Time 0.906 (0.804) Data 0.002 (0.002) Loss 2.3018 (2.6059) Prec@1 43.750 (36.841) Prec@5 73.125 (67.522) Epoch: [17][4860/11272] Time 0.759 (0.804) Data 0.003 (0.002) Loss 2.8722 (2.6060) Prec@1 28.750 (36.836) Prec@5 61.875 (67.520) Epoch: [17][4870/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.6526 (2.6061) Prec@1 39.375 (36.836) Prec@5 63.750 (67.520) Epoch: [17][4880/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.5175 (2.6060) Prec@1 42.500 (36.833) Prec@5 66.875 (67.522) Epoch: [17][4890/11272] Time 0.897 (0.804) Data 0.002 (0.002) Loss 2.4428 (2.6060) Prec@1 41.250 (36.834) Prec@5 69.375 (67.523) Epoch: [17][4900/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.5413 (2.6061) Prec@1 36.250 (36.832) Prec@5 68.125 (67.521) Epoch: [17][4910/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.7773 (2.6061) Prec@1 36.250 (36.833) Prec@5 64.375 (67.522) Epoch: [17][4920/11272] Time 0.892 (0.804) Data 0.001 (0.002) Loss 2.5068 (2.6060) Prec@1 38.125 (36.834) Prec@5 68.750 (67.523) Epoch: [17][4930/11272] Time 0.827 (0.804) Data 0.001 (0.002) Loss 2.5429 (2.6060) Prec@1 33.750 (36.834) Prec@5 70.625 (67.524) Epoch: [17][4940/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.5784 (2.6059) Prec@1 37.500 (36.840) Prec@5 66.250 (67.527) Epoch: [17][4950/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.9333 (2.6059) Prec@1 30.000 (36.841) Prec@5 60.000 (67.527) Epoch: [17][4960/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 2.5260 (2.6058) Prec@1 39.375 (36.845) Prec@5 71.875 (67.531) Epoch: [17][4970/11272] Time 0.832 (0.804) Data 0.002 (0.002) Loss 2.7465 (2.6057) Prec@1 35.000 (36.850) Prec@5 60.625 (67.534) Epoch: [17][4980/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.6378 (2.6056) Prec@1 38.750 (36.853) Prec@5 67.500 (67.535) Epoch: [17][4990/11272] Time 0.847 (0.804) Data 0.002 (0.002) Loss 2.3277 (2.6056) Prec@1 41.875 (36.851) Prec@5 71.875 (67.535) Epoch: [17][5000/11272] Time 0.835 (0.804) Data 0.001 (0.002) Loss 2.7334 (2.6055) Prec@1 35.625 (36.853) Prec@5 65.625 (67.536) Epoch: [17][5010/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.5184 (2.6052) Prec@1 38.750 (36.861) Prec@5 65.625 (67.541) Epoch: [17][5020/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.5246 (2.6053) Prec@1 30.625 (36.861) Prec@5 68.125 (67.538) Epoch: [17][5030/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.4978 (2.6052) Prec@1 38.750 (36.859) Prec@5 69.375 (67.536) Epoch: [17][5040/11272] Time 0.830 (0.804) Data 0.001 (0.002) Loss 2.5702 (2.6052) Prec@1 36.875 (36.860) Prec@5 65.625 (67.533) Epoch: [17][5050/11272] Time 0.772 (0.804) Data 0.002 (0.002) Loss 2.6490 (2.6053) Prec@1 33.750 (36.861) Prec@5 70.000 (67.533) Epoch: [17][5060/11272] Time 0.717 (0.804) Data 0.001 (0.002) Loss 2.5183 (2.6054) Prec@1 38.125 (36.860) Prec@5 70.000 (67.532) Epoch: [17][5070/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.5241 (2.6054) Prec@1 35.625 (36.858) Prec@5 68.750 (67.531) Epoch: [17][5080/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 2.6107 (2.6054) Prec@1 34.375 (36.855) Prec@5 66.875 (67.532) Epoch: [17][5090/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.4452 (2.6053) Prec@1 39.375 (36.857) Prec@5 75.000 (67.535) Epoch: [17][5100/11272] Time 0.763 (0.804) Data 0.002 (0.002) Loss 2.6631 (2.6052) Prec@1 33.750 (36.857) Prec@5 67.500 (67.534) Epoch: [17][5110/11272] Time 0.878 (0.804) Data 0.002 (0.002) Loss 2.2389 (2.6051) Prec@1 42.500 (36.856) Prec@5 71.250 (67.536) Epoch: [17][5120/11272] Time 0.891 (0.804) Data 0.002 (0.002) Loss 2.8048 (2.6052) Prec@1 36.250 (36.854) Prec@5 61.875 (67.533) Epoch: [17][5130/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.7942 (2.6053) Prec@1 34.375 (36.854) Prec@5 65.000 (67.531) Epoch: [17][5140/11272] Time 0.867 (0.804) Data 0.002 (0.002) Loss 2.4965 (2.6053) Prec@1 37.500 (36.854) Prec@5 68.750 (67.530) Epoch: [17][5150/11272] Time 0.849 (0.804) Data 0.002 (0.002) Loss 2.6831 (2.6054) Prec@1 34.375 (36.853) Prec@5 66.250 (67.530) Epoch: [17][5160/11272] Time 0.737 (0.804) Data 0.001 (0.002) Loss 2.5513 (2.6054) Prec@1 36.250 (36.852) Prec@5 67.500 (67.530) Epoch: [17][5170/11272] Time 0.752 (0.804) Data 0.002 (0.002) Loss 2.5262 (2.6053) Prec@1 36.250 (36.852) Prec@5 67.500 (67.533) Epoch: [17][5180/11272] Time 0.883 (0.804) Data 0.002 (0.002) Loss 2.7852 (2.6054) Prec@1 33.125 (36.853) Prec@5 60.000 (67.532) Epoch: [17][5190/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.8047 (2.6054) Prec@1 31.875 (36.852) Prec@5 64.375 (67.533) Epoch: [17][5200/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.4165 (2.6053) Prec@1 42.500 (36.854) Prec@5 70.625 (67.536) Epoch: [17][5210/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.6423 (2.6053) Prec@1 36.250 (36.854) Prec@5 65.625 (67.536) Epoch: [17][5220/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 2.5181 (2.6055) Prec@1 33.125 (36.848) Prec@5 68.750 (67.531) Epoch: [17][5230/11272] Time 0.892 (0.804) Data 0.002 (0.002) Loss 2.7976 (2.6057) Prec@1 35.000 (36.848) Prec@5 62.500 (67.526) Epoch: [17][5240/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.2702 (2.6056) Prec@1 46.250 (36.850) Prec@5 75.000 (67.527) Epoch: [17][5250/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.6019 (2.6056) Prec@1 37.500 (36.850) Prec@5 68.125 (67.528) Epoch: [17][5260/11272] Time 0.899 (0.804) Data 0.002 (0.002) Loss 2.5233 (2.6057) Prec@1 40.000 (36.847) Prec@5 68.125 (67.527) Epoch: [17][5270/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.6577 (2.6058) Prec@1 36.875 (36.845) Prec@5 68.125 (67.525) Epoch: [17][5280/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.7275 (2.6060) Prec@1 32.500 (36.841) Prec@5 66.875 (67.523) Epoch: [17][5290/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 2.6275 (2.6059) Prec@1 33.125 (36.840) Prec@5 68.125 (67.525) Epoch: [17][5300/11272] Time 0.902 (0.804) Data 0.002 (0.002) Loss 2.5886 (2.6059) Prec@1 36.875 (36.840) Prec@5 67.500 (67.528) Epoch: [17][5310/11272] Time 0.731 (0.804) Data 0.002 (0.002) Loss 2.5312 (2.6059) Prec@1 37.500 (36.838) Prec@5 68.125 (67.527) Epoch: [17][5320/11272] Time 0.737 (0.804) Data 0.001 (0.002) Loss 2.6873 (2.6061) Prec@1 39.375 (36.835) Prec@5 68.750 (67.527) Epoch: [17][5330/11272] Time 0.881 (0.804) Data 0.002 (0.002) Loss 2.5853 (2.6063) Prec@1 38.750 (36.833) Prec@5 70.000 (67.528) Epoch: [17][5340/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 2.6130 (2.6062) Prec@1 35.625 (36.833) Prec@5 68.750 (67.528) Epoch: [17][5350/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.5578 (2.6061) Prec@1 36.875 (36.834) Prec@5 75.625 (67.531) Epoch: [17][5360/11272] Time 0.757 (0.804) Data 0.002 (0.002) Loss 2.5086 (2.6061) Prec@1 40.625 (36.833) Prec@5 70.625 (67.531) Epoch: [17][5370/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.1556 (2.6059) Prec@1 46.875 (36.838) Prec@5 72.500 (67.534) Epoch: [17][5380/11272] Time 0.831 (0.804) Data 0.002 (0.002) Loss 2.3026 (2.6058) Prec@1 45.625 (36.840) Prec@5 75.625 (67.538) Epoch: [17][5390/11272] Time 0.760 (0.804) Data 0.001 (0.002) Loss 2.8608 (2.6058) Prec@1 30.625 (36.837) Prec@5 60.000 (67.536) Epoch: [17][5400/11272] Time 0.838 (0.804) Data 0.001 (0.002) Loss 2.2644 (2.6058) Prec@1 38.125 (36.837) Prec@5 79.375 (67.537) Epoch: [17][5410/11272] Time 0.899 (0.804) Data 0.002 (0.002) Loss 2.4470 (2.6059) Prec@1 35.625 (36.832) Prec@5 68.125 (67.536) Epoch: [17][5420/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.5195 (2.6058) Prec@1 36.875 (36.833) Prec@5 69.375 (67.536) Epoch: [17][5430/11272] Time 0.733 (0.804) Data 0.002 (0.002) Loss 2.6081 (2.6058) Prec@1 38.125 (36.832) Prec@5 65.625 (67.534) Epoch: [17][5440/11272] Time 0.857 (0.804) Data 0.001 (0.002) Loss 2.9504 (2.6058) Prec@1 26.875 (36.829) Prec@5 61.250 (67.535) Epoch: [17][5450/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 2.6540 (2.6058) Prec@1 38.125 (36.829) Prec@5 69.375 (67.534) Epoch: [17][5460/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.7137 (2.6058) Prec@1 34.375 (36.828) Prec@5 65.000 (67.534) Epoch: [17][5470/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.7833 (2.6056) Prec@1 37.500 (36.830) Prec@5 62.500 (67.538) Epoch: [17][5480/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.6861 (2.6057) Prec@1 37.500 (36.828) Prec@5 67.500 (67.535) Epoch: [17][5490/11272] Time 0.836 (0.804) Data 0.001 (0.002) Loss 2.4146 (2.6058) Prec@1 43.750 (36.828) Prec@5 74.375 (67.536) Epoch: [17][5500/11272] Time 0.727 (0.804) Data 0.001 (0.002) Loss 2.6079 (2.6058) Prec@1 36.875 (36.829) Prec@5 69.375 (67.532) Epoch: [17][5510/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.6334 (2.6058) Prec@1 35.000 (36.829) Prec@5 63.750 (67.533) Epoch: [17][5520/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.3873 (2.6057) Prec@1 43.125 (36.829) Prec@5 70.000 (67.534) Epoch: [17][5530/11272] Time 0.763 (0.804) Data 0.003 (0.002) Loss 2.4618 (2.6057) Prec@1 40.000 (36.832) Prec@5 70.000 (67.534) Epoch: [17][5540/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.4737 (2.6057) Prec@1 42.500 (36.831) Prec@5 68.750 (67.533) Epoch: [17][5550/11272] Time 0.857 (0.804) Data 0.002 (0.002) Loss 2.2345 (2.6056) Prec@1 48.750 (36.835) Prec@5 82.500 (67.539) Epoch: [17][5560/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 2.5853 (2.6056) Prec@1 36.250 (36.835) Prec@5 64.375 (67.538) Epoch: [17][5570/11272] Time 0.721 (0.804) Data 0.000 (0.002) Loss 2.8472 (2.6057) Prec@1 33.125 (36.832) Prec@5 63.750 (67.536) Epoch: [17][5580/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5764 (2.6058) Prec@1 34.375 (36.832) Prec@5 65.625 (67.535) Epoch: [17][5590/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 2.7470 (2.6057) Prec@1 34.375 (36.833) Prec@5 66.875 (67.534) Epoch: [17][5600/11272] Time 0.820 (0.804) Data 0.001 (0.002) Loss 2.5645 (2.6056) Prec@1 36.875 (36.836) Prec@5 68.125 (67.538) Epoch: [17][5610/11272] Time 0.782 (0.804) Data 0.002 (0.002) Loss 2.6650 (2.6056) Prec@1 35.000 (36.835) Prec@5 68.125 (67.537) Epoch: [17][5620/11272] Time 0.753 (0.804) Data 0.001 (0.002) Loss 2.5243 (2.6056) Prec@1 39.375 (36.833) Prec@5 67.500 (67.537) Epoch: [17][5630/11272] Time 0.927 (0.804) Data 0.002 (0.002) Loss 2.6071 (2.6056) Prec@1 36.250 (36.834) Prec@5 66.250 (67.536) Epoch: [17][5640/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 2.5716 (2.6057) Prec@1 34.375 (36.832) Prec@5 67.500 (67.535) Epoch: [17][5650/11272] Time 0.756 (0.804) Data 0.001 (0.002) Loss 2.7474 (2.6057) Prec@1 36.250 (36.830) Prec@5 65.000 (67.534) Epoch: [17][5660/11272] Time 0.857 (0.804) Data 0.002 (0.002) Loss 2.7431 (2.6057) Prec@1 36.875 (36.830) Prec@5 61.875 (67.533) Epoch: [17][5670/11272] Time 0.917 (0.804) Data 0.002 (0.002) Loss 2.4069 (2.6057) Prec@1 42.500 (36.830) Prec@5 69.375 (67.533) Epoch: [17][5680/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.5165 (2.6056) Prec@1 41.250 (36.834) Prec@5 68.750 (67.534) Epoch: [17][5690/11272] Time 0.747 (0.804) Data 0.001 (0.002) Loss 2.5587 (2.6056) Prec@1 35.000 (36.834) Prec@5 70.625 (67.533) Epoch: [17][5700/11272] Time 0.892 (0.804) Data 0.002 (0.002) Loss 2.6772 (2.6057) Prec@1 39.375 (36.834) Prec@5 61.875 (67.528) Epoch: [17][5710/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.4931 (2.6057) Prec@1 36.250 (36.834) Prec@5 69.375 (67.528) Epoch: [17][5720/11272] Time 0.761 (0.804) Data 0.002 (0.002) Loss 2.5224 (2.6057) Prec@1 40.625 (36.835) Prec@5 71.875 (67.526) Epoch: [17][5730/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.1124 (2.6056) Prec@1 50.625 (36.837) Prec@5 75.625 (67.527) Epoch: [17][5740/11272] Time 0.860 (0.804) Data 0.001 (0.002) Loss 2.6972 (2.6056) Prec@1 31.875 (36.836) Prec@5 68.750 (67.525) Epoch: [17][5750/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 2.5562 (2.6057) Prec@1 35.625 (36.836) Prec@5 65.000 (67.525) Epoch: [17][5760/11272] Time 0.785 (0.804) Data 0.001 (0.002) Loss 2.3346 (2.6056) Prec@1 40.625 (36.834) Prec@5 75.000 (67.527) Epoch: [17][5770/11272] Time 0.722 (0.804) Data 0.002 (0.002) Loss 2.4946 (2.6056) Prec@1 39.375 (36.835) Prec@5 70.000 (67.529) Epoch: [17][5780/11272] Time 0.852 (0.804) Data 0.001 (0.002) Loss 2.6859 (2.6056) Prec@1 35.625 (36.833) Prec@5 73.750 (67.531) Epoch: [17][5790/11272] Time 0.793 (0.804) Data 0.003 (0.002) Loss 2.6113 (2.6056) Prec@1 40.000 (36.836) Prec@5 65.000 (67.532) Epoch: [17][5800/11272] Time 0.723 (0.804) Data 0.001 (0.002) Loss 2.5873 (2.6055) Prec@1 37.500 (36.838) Prec@5 73.125 (67.535) Epoch: [17][5810/11272] Time 0.848 (0.804) Data 0.001 (0.002) Loss 2.4117 (2.6054) Prec@1 43.750 (36.840) Prec@5 70.625 (67.537) Epoch: [17][5820/11272] Time 0.913 (0.804) Data 0.002 (0.002) Loss 2.7582 (2.6054) Prec@1 36.250 (36.839) Prec@5 67.500 (67.538) Epoch: [17][5830/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.6019 (2.6054) Prec@1 35.000 (36.839) Prec@5 65.625 (67.540) Epoch: [17][5840/11272] Time 0.757 (0.804) Data 0.002 (0.002) Loss 2.7116 (2.6055) Prec@1 38.125 (36.839) Prec@5 68.125 (67.538) Epoch: [17][5850/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 2.7008 (2.6056) Prec@1 34.375 (36.837) Prec@5 67.500 (67.536) Epoch: [17][5860/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.3975 (2.6057) Prec@1 41.875 (36.835) Prec@5 68.750 (67.533) Epoch: [17][5870/11272] Time 0.745 (0.804) Data 0.002 (0.002) Loss 2.5765 (2.6058) Prec@1 38.750 (36.836) Prec@5 68.125 (67.531) Epoch: [17][5880/11272] Time 0.764 (0.804) Data 0.001 (0.002) Loss 2.6065 (2.6060) Prec@1 38.750 (36.833) Prec@5 67.500 (67.528) Epoch: [17][5890/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 2.8034 (2.6061) Prec@1 31.875 (36.831) Prec@5 60.625 (67.525) Epoch: [17][5900/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 2.7272 (2.6061) Prec@1 35.625 (36.833) Prec@5 66.250 (67.523) Epoch: [17][5910/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 2.7332 (2.6060) Prec@1 30.625 (36.836) Prec@5 68.750 (67.525) Epoch: [17][5920/11272] Time 0.847 (0.804) Data 0.001 (0.002) Loss 2.8312 (2.6060) Prec@1 31.250 (36.835) Prec@5 65.625 (67.525) Epoch: [17][5930/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 2.7211 (2.6060) Prec@1 36.250 (36.839) Prec@5 65.625 (67.527) Epoch: [17][5940/11272] Time 0.765 (0.804) Data 0.002 (0.002) Loss 2.4627 (2.6060) Prec@1 36.875 (36.839) Prec@5 67.500 (67.525) Epoch: [17][5950/11272] Time 0.755 (0.804) Data 0.002 (0.002) Loss 2.3651 (2.6059) Prec@1 40.000 (36.840) Prec@5 75.000 (67.525) Epoch: [17][5960/11272] Time 0.930 (0.804) Data 0.002 (0.002) Loss 2.7891 (2.6060) Prec@1 31.250 (36.838) Prec@5 63.750 (67.523) Epoch: [17][5970/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 2.5595 (2.6059) Prec@1 37.500 (36.841) Prec@5 65.000 (67.524) Epoch: [17][5980/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.4231 (2.6058) Prec@1 42.500 (36.843) Prec@5 68.750 (67.525) Epoch: [17][5990/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.3548 (2.6057) Prec@1 40.000 (36.846) Prec@5 72.500 (67.527) Epoch: [17][6000/11272] Time 0.834 (0.804) Data 0.001 (0.002) Loss 2.5868 (2.6056) Prec@1 34.375 (36.845) Prec@5 67.500 (67.529) Epoch: [17][6010/11272] Time 0.873 (0.804) Data 0.003 (0.002) Loss 2.5868 (2.6056) Prec@1 37.500 (36.847) Prec@5 68.750 (67.532) Epoch: [17][6020/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.8529 (2.6057) Prec@1 30.625 (36.843) Prec@5 58.125 (67.529) Epoch: [17][6030/11272] Time 0.786 (0.804) Data 0.001 (0.002) Loss 2.3915 (2.6056) Prec@1 42.500 (36.845) Prec@5 65.625 (67.528) Epoch: [17][6040/11272] Time 0.839 (0.804) Data 0.001 (0.002) Loss 2.6493 (2.6056) Prec@1 29.375 (36.843) Prec@5 62.500 (67.526) Epoch: [17][6050/11272] Time 0.915 (0.804) Data 0.002 (0.002) Loss 2.4055 (2.6055) Prec@1 38.750 (36.843) Prec@5 75.000 (67.528) Epoch: [17][6060/11272] Time 0.704 (0.804) Data 0.001 (0.002) Loss 2.7523 (2.6057) Prec@1 32.500 (36.840) Prec@5 65.000 (67.525) Epoch: [17][6070/11272] Time 0.813 (0.804) Data 0.002 (0.002) Loss 2.5711 (2.6059) Prec@1 38.750 (36.837) Prec@5 68.750 (67.522) Epoch: [17][6080/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.6763 (2.6059) Prec@1 33.125 (36.834) Prec@5 67.500 (67.522) Epoch: [17][6090/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.6011 (2.6060) Prec@1 40.625 (36.832) Prec@5 66.875 (67.522) Epoch: [17][6100/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.9369 (2.6061) Prec@1 35.000 (36.831) Prec@5 59.375 (67.521) Epoch: [17][6110/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.3628 (2.6062) Prec@1 44.375 (36.832) Prec@5 71.250 (67.518) Epoch: [17][6120/11272] Time 0.893 (0.804) Data 0.002 (0.002) Loss 2.9075 (2.6062) Prec@1 33.125 (36.834) Prec@5 61.250 (67.519) Epoch: [17][6130/11272] Time 0.712 (0.804) Data 0.001 (0.002) Loss 2.6456 (2.6063) Prec@1 35.000 (36.834) Prec@5 66.875 (67.516) Epoch: [17][6140/11272] Time 0.714 (0.804) Data 0.001 (0.002) Loss 2.5988 (2.6061) Prec@1 40.000 (36.837) Prec@5 68.750 (67.519) Epoch: [17][6150/11272] Time 0.901 (0.804) Data 0.002 (0.002) Loss 2.5236 (2.6061) Prec@1 39.375 (36.840) Prec@5 69.375 (67.517) Epoch: [17][6160/11272] Time 0.834 (0.804) Data 0.001 (0.002) Loss 2.5093 (2.6061) Prec@1 37.500 (36.840) Prec@5 71.250 (67.518) Epoch: [17][6170/11272] Time 0.744 (0.804) Data 0.002 (0.002) Loss 2.3643 (2.6061) Prec@1 40.000 (36.839) Prec@5 75.625 (67.519) Epoch: [17][6180/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.8448 (2.6061) Prec@1 35.625 (36.839) Prec@5 65.625 (67.519) Epoch: [17][6190/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 2.8360 (2.6062) Prec@1 33.750 (36.839) Prec@5 65.000 (67.519) Epoch: [17][6200/11272] Time 0.729 (0.804) Data 0.001 (0.002) Loss 2.6128 (2.6061) Prec@1 38.750 (36.839) Prec@5 65.625 (67.519) Epoch: [17][6210/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.6100 (2.6062) Prec@1 37.500 (36.836) Prec@5 63.750 (67.518) Epoch: [17][6220/11272] Time 0.871 (0.804) Data 0.002 (0.002) Loss 2.4104 (2.6062) Prec@1 44.375 (36.835) Prec@5 71.875 (67.519) Epoch: [17][6230/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 2.3269 (2.6063) Prec@1 43.750 (36.834) Prec@5 71.250 (67.517) Epoch: [17][6240/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.6027 (2.6065) Prec@1 36.875 (36.834) Prec@5 65.000 (67.515) Epoch: [17][6250/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.4268 (2.6064) Prec@1 39.375 (36.836) Prec@5 70.625 (67.514) Epoch: [17][6260/11272] Time 0.831 (0.804) Data 0.002 (0.002) Loss 2.8222 (2.6066) Prec@1 35.625 (36.835) Prec@5 63.750 (67.511) Epoch: [17][6270/11272] Time 0.887 (0.804) Data 0.002 (0.002) Loss 2.5244 (2.6067) Prec@1 37.500 (36.832) Prec@5 66.875 (67.510) Epoch: [17][6280/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.5089 (2.6067) Prec@1 38.125 (36.833) Prec@5 69.375 (67.511) Epoch: [17][6290/11272] Time 0.729 (0.804) Data 0.002 (0.002) Loss 2.5781 (2.6067) Prec@1 35.625 (36.833) Prec@5 68.750 (67.511) Epoch: [17][6300/11272] Time 0.812 (0.804) Data 0.001 (0.002) Loss 2.5382 (2.6067) Prec@1 40.000 (36.832) Prec@5 67.500 (67.511) Epoch: [17][6310/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 2.6382 (2.6066) Prec@1 33.750 (36.833) Prec@5 67.500 (67.513) Epoch: [17][6320/11272] Time 0.759 (0.804) Data 0.002 (0.002) Loss 2.6016 (2.6065) Prec@1 41.250 (36.837) Prec@5 69.375 (67.515) Epoch: [17][6330/11272] Time 0.863 (0.804) Data 0.001 (0.002) Loss 2.7402 (2.6066) Prec@1 38.125 (36.839) Prec@5 64.375 (67.514) Epoch: [17][6340/11272] Time 0.843 (0.804) Data 0.002 (0.002) Loss 2.9331 (2.6067) Prec@1 30.000 (36.841) Prec@5 61.875 (67.513) Epoch: [17][6350/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.9112 (2.6068) Prec@1 30.000 (36.838) Prec@5 63.125 (67.507) Epoch: [17][6360/11272] Time 0.715 (0.804) Data 0.001 (0.002) Loss 2.6630 (2.6069) Prec@1 37.500 (36.838) Prec@5 66.875 (67.505) Epoch: [17][6370/11272] Time 0.887 (0.804) Data 0.002 (0.002) Loss 2.8163 (2.6069) Prec@1 38.125 (36.836) Prec@5 61.250 (67.505) Epoch: [17][6380/11272] Time 0.888 (0.804) Data 0.002 (0.002) Loss 2.5763 (2.6070) Prec@1 38.750 (36.834) Prec@5 66.250 (67.500) Epoch: [17][6390/11272] Time 0.767 (0.804) Data 0.002 (0.002) Loss 2.6117 (2.6071) Prec@1 38.750 (36.832) Prec@5 66.875 (67.498) Epoch: [17][6400/11272] Time 0.758 (0.804) Data 0.002 (0.002) Loss 2.4182 (2.6070) Prec@1 41.250 (36.833) Prec@5 70.000 (67.502) Epoch: [17][6410/11272] Time 0.867 (0.804) Data 0.001 (0.002) Loss 2.7253 (2.6070) Prec@1 33.125 (36.834) Prec@5 65.000 (67.503) Epoch: [17][6420/11272] Time 0.856 (0.804) Data 0.002 (0.002) Loss 2.6910 (2.6070) Prec@1 34.375 (36.835) Prec@5 65.000 (67.501) Epoch: [17][6430/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.5650 (2.6070) Prec@1 34.375 (36.836) Prec@5 68.125 (67.501) Epoch: [17][6440/11272] Time 0.761 (0.804) Data 0.001 (0.002) Loss 2.6327 (2.6071) Prec@1 36.250 (36.835) Prec@5 64.375 (67.497) Epoch: [17][6450/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.5873 (2.6071) Prec@1 40.625 (36.836) Prec@5 67.500 (67.496) Epoch: [17][6460/11272] Time 0.783 (0.804) Data 0.003 (0.002) Loss 2.4138 (2.6070) Prec@1 40.625 (36.838) Prec@5 71.875 (67.496) Epoch: [17][6470/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.6910 (2.6071) Prec@1 34.375 (36.837) Prec@5 66.875 (67.493) Epoch: [17][6480/11272] Time 0.875 (0.804) Data 0.002 (0.002) Loss 2.6824 (2.6071) Prec@1 33.125 (36.836) Prec@5 66.875 (67.494) Epoch: [17][6490/11272] Time 0.843 (0.804) Data 0.002 (0.002) Loss 2.8584 (2.6071) Prec@1 36.250 (36.837) Prec@5 65.625 (67.493) Epoch: [17][6500/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.8369 (2.6071) Prec@1 30.625 (36.834) Prec@5 66.250 (67.492) Epoch: [17][6510/11272] Time 0.740 (0.804) Data 0.001 (0.002) Loss 2.4637 (2.6071) Prec@1 41.250 (36.835) Prec@5 65.625 (67.492) Epoch: [17][6520/11272] Time 0.873 (0.804) Data 0.001 (0.002) Loss 2.5550 (2.6070) Prec@1 38.750 (36.837) Prec@5 66.875 (67.492) Epoch: [17][6530/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.8170 (2.6070) Prec@1 29.375 (36.837) Prec@5 56.875 (67.492) Epoch: [17][6540/11272] Time 0.776 (0.804) Data 0.001 (0.002) Loss 2.4586 (2.6069) Prec@1 41.875 (36.839) Prec@5 69.375 (67.491) Epoch: [17][6550/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.9330 (2.6069) Prec@1 28.125 (36.839) Prec@5 63.750 (67.491) Epoch: [17][6560/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 2.7322 (2.6071) Prec@1 38.750 (36.833) Prec@5 62.500 (67.485) Epoch: [17][6570/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.6249 (2.6072) Prec@1 41.250 (36.833) Prec@5 68.750 (67.483) Epoch: [17][6580/11272] Time 0.718 (0.804) Data 0.001 (0.002) Loss 2.4464 (2.6072) Prec@1 39.375 (36.835) Prec@5 74.375 (67.485) Epoch: [17][6590/11272] Time 0.908 (0.804) Data 0.001 (0.002) Loss 2.5985 (2.6072) Prec@1 35.000 (36.836) Prec@5 63.125 (67.483) Epoch: [17][6600/11272] Time 0.941 (0.804) Data 0.002 (0.002) Loss 2.7307 (2.6072) Prec@1 36.250 (36.837) Prec@5 67.500 (67.482) Epoch: [17][6610/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.7916 (2.6074) Prec@1 31.875 (36.834) Prec@5 63.750 (67.480) Epoch: [17][6620/11272] Time 0.748 (0.804) Data 0.001 (0.002) Loss 2.8750 (2.6072) Prec@1 35.625 (36.840) Prec@5 60.625 (67.481) Epoch: [17][6630/11272] Time 0.926 (0.804) Data 0.002 (0.002) Loss 2.4202 (2.6073) Prec@1 41.250 (36.841) Prec@5 70.625 (67.479) Epoch: [17][6640/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 2.8080 (2.6073) Prec@1 38.750 (36.840) Prec@5 66.875 (67.478) Epoch: [17][6650/11272] Time 0.749 (0.804) Data 0.002 (0.002) Loss 2.9403 (2.6074) Prec@1 31.250 (36.838) Prec@5 65.000 (67.476) Epoch: [17][6660/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.5712 (2.6074) Prec@1 38.125 (36.838) Prec@5 70.000 (67.477) Epoch: [17][6670/11272] Time 0.828 (0.804) Data 0.001 (0.002) Loss 2.6221 (2.6073) Prec@1 36.875 (36.838) Prec@5 66.250 (67.477) Epoch: [17][6680/11272] Time 0.814 (0.804) Data 0.001 (0.002) Loss 2.7760 (2.6073) Prec@1 35.000 (36.838) Prec@5 64.375 (67.476) Epoch: [17][6690/11272] Time 0.754 (0.804) Data 0.001 (0.002) Loss 2.7006 (2.6073) Prec@1 30.625 (36.837) Prec@5 63.125 (67.474) Epoch: [17][6700/11272] Time 0.721 (0.804) Data 0.001 (0.002) Loss 2.5926 (2.6074) Prec@1 37.500 (36.834) Prec@5 66.875 (67.472) Epoch: [17][6710/11272] Time 0.865 (0.804) Data 0.002 (0.002) Loss 2.6017 (2.6073) Prec@1 35.000 (36.835) Prec@5 71.875 (67.474) Epoch: [17][6720/11272] Time 0.779 (0.804) Data 0.003 (0.002) Loss 2.7431 (2.6073) Prec@1 34.375 (36.837) Prec@5 65.000 (67.475) Epoch: [17][6730/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5315 (2.6073) Prec@1 38.125 (36.835) Prec@5 65.000 (67.475) Epoch: [17][6740/11272] Time 0.836 (0.804) Data 0.001 (0.002) Loss 2.4847 (2.6072) Prec@1 36.875 (36.836) Prec@5 71.875 (67.476) Epoch: [17][6750/11272] Time 0.882 (0.804) Data 0.002 (0.002) Loss 2.7897 (2.6071) Prec@1 35.625 (36.838) Prec@5 64.375 (67.478) Epoch: [17][6760/11272] Time 0.757 (0.804) Data 0.001 (0.002) Loss 2.5559 (2.6072) Prec@1 42.500 (36.840) Prec@5 65.625 (67.478) Epoch: [17][6770/11272] Time 0.727 (0.804) Data 0.001 (0.002) Loss 2.6457 (2.6071) Prec@1 37.500 (36.838) Prec@5 63.750 (67.481) Epoch: [17][6780/11272] Time 0.861 (0.804) Data 0.001 (0.002) Loss 2.5086 (2.6071) Prec@1 41.250 (36.837) Prec@5 71.250 (67.480) Epoch: [17][6790/11272] Time 0.854 (0.804) Data 0.001 (0.002) Loss 2.7319 (2.6073) Prec@1 36.875 (36.834) Prec@5 66.875 (67.476) Epoch: [17][6800/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.5601 (2.6073) Prec@1 36.875 (36.836) Prec@5 68.750 (67.475) Epoch: [17][6810/11272] Time 0.758 (0.804) Data 0.002 (0.002) Loss 2.4737 (2.6073) Prec@1 31.875 (36.837) Prec@5 71.250 (67.477) Epoch: [17][6820/11272] Time 0.894 (0.804) Data 0.002 (0.002) Loss 2.6580 (2.6072) Prec@1 36.250 (36.838) Prec@5 71.250 (67.479) Epoch: [17][6830/11272] Time 0.850 (0.804) Data 0.002 (0.002) Loss 2.3897 (2.6073) Prec@1 41.250 (36.837) Prec@5 73.125 (67.477) Epoch: [17][6840/11272] Time 0.721 (0.804) Data 0.001 (0.002) Loss 2.6349 (2.6073) Prec@1 38.125 (36.838) Prec@5 68.750 (67.477) Epoch: [17][6850/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 2.7896 (2.6073) Prec@1 31.250 (36.835) Prec@5 64.375 (67.478) Epoch: [17][6860/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 2.5934 (2.6073) Prec@1 31.875 (36.834) Prec@5 70.625 (67.474) Epoch: [17][6870/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.7602 (2.6074) Prec@1 36.250 (36.833) Prec@5 63.125 (67.475) Epoch: [17][6880/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5703 (2.6074) Prec@1 39.375 (36.834) Prec@5 67.500 (67.474) Epoch: [17][6890/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.6427 (2.6073) Prec@1 34.375 (36.834) Prec@5 70.625 (67.475) Epoch: [17][6900/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.4089 (2.6073) Prec@1 41.250 (36.836) Prec@5 72.500 (67.477) Epoch: [17][6910/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.6059 (2.6073) Prec@1 39.375 (36.835) Prec@5 66.875 (67.477) Epoch: [17][6920/11272] Time 0.765 (0.804) Data 0.003 (0.002) Loss 2.3206 (2.6073) Prec@1 39.375 (36.834) Prec@5 73.750 (67.479) Epoch: [17][6930/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 2.7526 (2.6072) Prec@1 38.750 (36.835) Prec@5 65.000 (67.480) Epoch: [17][6940/11272] Time 0.844 (0.804) Data 0.002 (0.002) Loss 2.6402 (2.6071) Prec@1 33.125 (36.835) Prec@5 71.250 (67.482) Epoch: [17][6950/11272] Time 0.727 (0.804) Data 0.002 (0.002) Loss 2.6798 (2.6071) Prec@1 33.750 (36.835) Prec@5 66.875 (67.481) Epoch: [17][6960/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.5909 (2.6071) Prec@1 43.750 (36.836) Prec@5 68.750 (67.482) Epoch: [17][6970/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 2.7745 (2.6072) Prec@1 33.125 (36.833) Prec@5 66.250 (67.482) Epoch: [17][6980/11272] Time 0.812 (0.804) Data 0.001 (0.002) Loss 2.6138 (2.6071) Prec@1 34.375 (36.833) Prec@5 68.750 (67.483) Epoch: [17][6990/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 2.7337 (2.6072) Prec@1 36.875 (36.831) Prec@5 63.125 (67.481) Epoch: [17][7000/11272] Time 0.842 (0.804) Data 0.002 (0.002) Loss 2.5010 (2.6072) Prec@1 33.125 (36.831) Prec@5 66.875 (67.482) Epoch: [17][7010/11272] Time 0.901 (0.804) Data 0.002 (0.002) Loss 2.8400 (2.6072) Prec@1 36.875 (36.832) Prec@5 68.125 (67.481) Epoch: [17][7020/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.6477 (2.6072) Prec@1 33.125 (36.834) Prec@5 65.625 (67.482) Epoch: [17][7030/11272] Time 0.724 (0.804) Data 0.001 (0.002) Loss 2.5754 (2.6072) Prec@1 40.000 (36.833) Prec@5 69.375 (67.480) Epoch: [17][7040/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.5303 (2.6072) Prec@1 35.625 (36.835) Prec@5 69.375 (67.480) Epoch: [17][7050/11272] Time 0.838 (0.804) Data 0.001 (0.002) Loss 2.6747 (2.6071) Prec@1 37.500 (36.834) Prec@5 68.750 (67.481) Epoch: [17][7060/11272] Time 0.731 (0.804) Data 0.002 (0.002) Loss 2.5562 (2.6072) Prec@1 37.500 (36.834) Prec@5 65.000 (67.479) Epoch: [17][7070/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.8688 (2.6072) Prec@1 33.750 (36.833) Prec@5 63.750 (67.479) Epoch: [17][7080/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 2.4824 (2.6072) Prec@1 40.000 (36.834) Prec@5 70.000 (67.481) Epoch: [17][7090/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 2.4155 (2.6071) Prec@1 40.000 (36.835) Prec@5 75.625 (67.484) Epoch: [17][7100/11272] Time 0.759 (0.804) Data 0.001 (0.002) Loss 2.6393 (2.6071) Prec@1 32.500 (36.836) Prec@5 66.875 (67.484) Epoch: [17][7110/11272] Time 0.727 (0.804) Data 0.001 (0.002) Loss 2.3705 (2.6072) Prec@1 38.125 (36.832) Prec@5 71.250 (67.481) Epoch: [17][7120/11272] Time 0.828 (0.804) Data 0.001 (0.002) Loss 2.6524 (2.6072) Prec@1 41.250 (36.836) Prec@5 62.500 (67.481) Epoch: [17][7130/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 2.5961 (2.6072) Prec@1 39.375 (36.834) Prec@5 68.125 (67.481) Epoch: [17][7140/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.3734 (2.6071) Prec@1 35.000 (36.834) Prec@5 72.500 (67.482) Epoch: [17][7150/11272] Time 0.924 (0.804) Data 0.002 (0.002) Loss 2.6069 (2.6071) Prec@1 33.125 (36.834) Prec@5 71.875 (67.484) Epoch: [17][7160/11272] Time 0.831 (0.804) Data 0.002 (0.002) Loss 2.7240 (2.6071) Prec@1 40.000 (36.832) Prec@5 63.125 (67.483) Epoch: [17][7170/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 2.7571 (2.6072) Prec@1 34.375 (36.832) Prec@5 66.875 (67.483) Epoch: [17][7180/11272] Time 0.745 (0.804) Data 0.002 (0.002) Loss 2.5302 (2.6072) Prec@1 40.625 (36.834) Prec@5 70.625 (67.484) Epoch: [17][7190/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 2.9677 (2.6073) Prec@1 28.750 (36.833) Prec@5 59.375 (67.483) Epoch: [17][7200/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 2.5190 (2.6074) Prec@1 36.875 (36.829) Prec@5 68.125 (67.483) Epoch: [17][7210/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.5647 (2.6074) Prec@1 36.250 (36.827) Prec@5 68.750 (67.483) Epoch: [17][7220/11272] Time 0.752 (0.804) Data 0.001 (0.002) Loss 2.6022 (2.6074) Prec@1 40.000 (36.829) Prec@5 66.875 (67.485) Epoch: [17][7230/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 2.6504 (2.6074) Prec@1 33.125 (36.829) Prec@5 63.125 (67.483) Epoch: [17][7240/11272] Time 0.847 (0.804) Data 0.001 (0.002) Loss 2.3547 (2.6074) Prec@1 38.750 (36.827) Prec@5 70.625 (67.483) Epoch: [17][7250/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.6912 (2.6073) Prec@1 33.750 (36.826) Prec@5 66.875 (67.483) Epoch: [17][7260/11272] Time 0.816 (0.804) Data 0.001 (0.002) Loss 2.5266 (2.6073) Prec@1 36.875 (36.826) Prec@5 70.000 (67.485) Epoch: [17][7270/11272] Time 0.871 (0.804) Data 0.002 (0.002) Loss 2.5227 (2.6073) Prec@1 39.375 (36.828) Prec@5 72.500 (67.486) Epoch: [17][7280/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.4801 (2.6072) Prec@1 40.000 (36.830) Prec@5 70.625 (67.486) Epoch: [17][7290/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 2.5788 (2.6072) Prec@1 38.125 (36.830) Prec@5 69.375 (67.486) Epoch: [17][7300/11272] Time 0.897 (0.804) Data 0.001 (0.002) Loss 2.5820 (2.6071) Prec@1 38.125 (36.831) Prec@5 68.750 (67.486) Epoch: [17][7310/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 2.4845 (2.6072) Prec@1 34.375 (36.830) Prec@5 72.500 (67.485) Epoch: [17][7320/11272] Time 0.722 (0.804) Data 0.001 (0.002) Loss 2.5800 (2.6072) Prec@1 36.875 (36.828) Prec@5 66.875 (67.485) Epoch: [17][7330/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5030 (2.6072) Prec@1 36.875 (36.827) Prec@5 68.125 (67.483) Epoch: [17][7340/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.3458 (2.6072) Prec@1 40.625 (36.827) Prec@5 68.125 (67.481) Epoch: [17][7350/11272] Time 0.862 (0.804) Data 0.001 (0.002) Loss 2.4896 (2.6072) Prec@1 41.875 (36.827) Prec@5 68.750 (67.480) Epoch: [17][7360/11272] Time 0.755 (0.804) Data 0.001 (0.002) Loss 2.8244 (2.6073) Prec@1 39.375 (36.827) Prec@5 59.375 (67.477) Epoch: [17][7370/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.8685 (2.6073) Prec@1 36.250 (36.827) Prec@5 60.625 (67.479) Epoch: [17][7380/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 2.4102 (2.6072) Prec@1 41.250 (36.826) Prec@5 68.750 (67.479) Epoch: [17][7390/11272] Time 0.770 (0.804) Data 0.003 (0.002) Loss 2.7028 (2.6072) Prec@1 36.250 (36.825) Prec@5 68.125 (67.480) Epoch: [17][7400/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.7114 (2.6073) Prec@1 38.125 (36.823) Prec@5 63.750 (67.478) Epoch: [17][7410/11272] Time 0.875 (0.804) Data 0.002 (0.002) Loss 2.6802 (2.6074) Prec@1 34.375 (36.821) Prec@5 62.500 (67.477) Epoch: [17][7420/11272] Time 0.904 (0.804) Data 0.002 (0.002) Loss 2.5568 (2.6074) Prec@1 41.250 (36.823) Prec@5 63.750 (67.476) Epoch: [17][7430/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.7331 (2.6075) Prec@1 41.250 (36.824) Prec@5 65.625 (67.477) Epoch: [17][7440/11272] Time 0.720 (0.804) Data 0.001 (0.002) Loss 2.6247 (2.6074) Prec@1 39.375 (36.826) Prec@5 67.500 (67.478) Epoch: [17][7450/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 2.6804 (2.6074) Prec@1 36.875 (36.827) Prec@5 67.500 (67.477) Epoch: [17][7460/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 2.4077 (2.6074) Prec@1 36.250 (36.826) Prec@5 73.125 (67.479) Epoch: [17][7470/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.7118 (2.6074) Prec@1 33.125 (36.825) Prec@5 63.750 (67.480) Epoch: [17][7480/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.5455 (2.6074) Prec@1 38.125 (36.823) Prec@5 69.375 (67.478) Epoch: [17][7490/11272] Time 0.882 (0.804) Data 0.002 (0.002) Loss 2.4095 (2.6074) Prec@1 43.750 (36.823) Prec@5 75.000 (67.478) Epoch: [17][7500/11272] Time 0.848 (0.804) Data 0.001 (0.002) Loss 2.8036 (2.6076) Prec@1 31.875 (36.820) Prec@5 63.125 (67.475) Epoch: [17][7510/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 2.6900 (2.6076) Prec@1 30.000 (36.820) Prec@5 60.625 (67.473) Epoch: [17][7520/11272] Time 0.886 (0.805) Data 0.001 (0.002) Loss 2.5579 (2.6077) Prec@1 38.750 (36.820) Prec@5 68.125 (67.469) Epoch: [17][7530/11272] Time 0.888 (0.805) Data 0.002 (0.002) Loss 2.5630 (2.6078) Prec@1 42.500 (36.819) Prec@5 69.375 (67.468) Epoch: [17][7540/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.6380 (2.6078) Prec@1 33.125 (36.818) Prec@5 65.000 (67.466) Epoch: [17][7550/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.6108 (2.6079) Prec@1 34.375 (36.816) Prec@5 68.750 (67.465) Epoch: [17][7560/11272] Time 0.896 (0.805) Data 0.002 (0.002) Loss 2.4987 (2.6078) Prec@1 41.250 (36.818) Prec@5 69.375 (67.468) Epoch: [17][7570/11272] Time 0.895 (0.805) Data 0.002 (0.002) Loss 2.6693 (2.6078) Prec@1 41.875 (36.818) Prec@5 66.875 (67.469) Epoch: [17][7580/11272] Time 0.739 (0.805) Data 0.001 (0.002) Loss 2.3939 (2.6076) Prec@1 39.375 (36.822) Prec@5 74.375 (67.472) Epoch: [17][7590/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.6786 (2.6077) Prec@1 38.125 (36.821) Prec@5 67.500 (67.469) Epoch: [17][7600/11272] Time 0.855 (0.805) Data 0.001 (0.002) Loss 2.5143 (2.6077) Prec@1 38.125 (36.821) Prec@5 67.500 (67.468) Epoch: [17][7610/11272] Time 0.817 (0.805) Data 0.001 (0.002) Loss 2.7346 (2.6077) Prec@1 29.375 (36.822) Prec@5 64.375 (67.467) Epoch: [17][7620/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.4954 (2.6076) Prec@1 36.875 (36.821) Prec@5 73.125 (67.470) Epoch: [17][7630/11272] Time 0.774 (0.805) Data 0.001 (0.002) Loss 2.5860 (2.6077) Prec@1 38.125 (36.820) Prec@5 66.875 (67.470) Epoch: [17][7640/11272] Time 0.892 (0.805) Data 0.002 (0.002) Loss 2.6452 (2.6075) Prec@1 33.750 (36.822) Prec@5 70.625 (67.472) Epoch: [17][7650/11272] Time 0.773 (0.805) Data 0.003 (0.002) Loss 2.6411 (2.6076) Prec@1 37.500 (36.822) Prec@5 66.875 (67.470) Epoch: [17][7660/11272] Time 0.736 (0.805) Data 0.002 (0.002) Loss 2.4565 (2.6076) Prec@1 36.250 (36.821) Prec@5 66.875 (67.470) Epoch: [17][7670/11272] Time 0.826 (0.805) Data 0.001 (0.002) Loss 2.4638 (2.6075) Prec@1 38.125 (36.820) Prec@5 66.250 (67.471) Epoch: [17][7680/11272] Time 0.885 (0.805) Data 0.002 (0.002) Loss 2.9173 (2.6076) Prec@1 30.000 (36.819) Prec@5 62.500 (67.470) Epoch: [17][7690/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.7160 (2.6077) Prec@1 36.250 (36.818) Prec@5 61.250 (67.466) Epoch: [17][7700/11272] Time 0.744 (0.804) Data 0.001 (0.002) Loss 2.8014 (2.6079) Prec@1 31.250 (36.817) Prec@5 65.000 (67.463) Epoch: [17][7710/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 2.6431 (2.6079) Prec@1 30.625 (36.815) Prec@5 66.875 (67.463) Epoch: [17][7720/11272] Time 0.884 (0.805) Data 0.002 (0.002) Loss 2.3972 (2.6077) Prec@1 44.375 (36.818) Prec@5 74.375 (67.466) Epoch: [17][7730/11272] Time 0.753 (0.805) Data 0.001 (0.002) Loss 2.6873 (2.6079) Prec@1 32.500 (36.814) Prec@5 69.375 (67.463) Epoch: [17][7740/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.6269 (2.6078) Prec@1 35.625 (36.818) Prec@5 68.750 (67.466) Epoch: [17][7750/11272] Time 0.837 (0.805) Data 0.001 (0.002) Loss 2.6257 (2.6077) Prec@1 33.125 (36.817) Prec@5 72.500 (67.468) Epoch: [17][7760/11272] Time 0.839 (0.805) Data 0.001 (0.002) Loss 2.5378 (2.6079) Prec@1 40.000 (36.815) Prec@5 70.625 (67.464) Epoch: [17][7770/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.6874 (2.6080) Prec@1 35.625 (36.813) Prec@5 63.750 (67.461) Epoch: [17][7780/11272] Time 0.840 (0.804) Data 0.002 (0.002) Loss 2.8542 (2.6081) Prec@1 32.500 (36.814) Prec@5 65.625 (67.461) Epoch: [17][7790/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.7843 (2.6081) Prec@1 36.875 (36.816) Prec@5 63.125 (67.462) Epoch: [17][7800/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.4979 (2.6081) Prec@1 36.875 (36.814) Prec@5 71.875 (67.462) Epoch: [17][7810/11272] Time 0.765 (0.804) Data 0.002 (0.002) Loss 3.1012 (2.6082) Prec@1 30.625 (36.811) Prec@5 58.125 (67.460) Epoch: [17][7820/11272] Time 0.850 (0.804) Data 0.002 (0.002) Loss 2.3512 (2.6082) Prec@1 43.125 (36.811) Prec@5 71.250 (67.459) Epoch: [17][7830/11272] Time 0.899 (0.804) Data 0.002 (0.002) Loss 2.3618 (2.6082) Prec@1 37.500 (36.809) Prec@5 72.500 (67.457) Epoch: [17][7840/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.5635 (2.6083) Prec@1 40.000 (36.808) Prec@5 66.250 (67.453) Epoch: [17][7850/11272] Time 0.750 (0.804) Data 0.001 (0.002) Loss 2.5211 (2.6084) Prec@1 40.625 (36.808) Prec@5 71.250 (67.451) Epoch: [17][7860/11272] Time 0.888 (0.804) Data 0.002 (0.002) Loss 2.5055 (2.6084) Prec@1 40.000 (36.809) Prec@5 68.125 (67.451) Epoch: [17][7870/11272] Time 0.917 (0.804) Data 0.002 (0.002) Loss 2.6633 (2.6085) Prec@1 36.250 (36.808) Prec@5 66.250 (67.450) Epoch: [17][7880/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.3303 (2.6085) Prec@1 38.750 (36.808) Prec@5 70.000 (67.449) Epoch: [17][7890/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.6792 (2.6085) Prec@1 36.250 (36.807) Prec@5 66.250 (67.449) Epoch: [17][7900/11272] Time 0.893 (0.804) Data 0.002 (0.002) Loss 2.6098 (2.6085) Prec@1 37.500 (36.807) Prec@5 65.625 (67.450) Epoch: [17][7910/11272] Time 0.845 (0.805) Data 0.001 (0.002) Loss 2.5170 (2.6084) Prec@1 37.500 (36.809) Prec@5 74.375 (67.454) Epoch: [17][7920/11272] Time 0.740 (0.805) Data 0.001 (0.002) Loss 2.7667 (2.6084) Prec@1 31.875 (36.807) Prec@5 59.375 (67.453) Epoch: [17][7930/11272] Time 0.889 (0.805) Data 0.002 (0.002) Loss 2.2743 (2.6084) Prec@1 41.250 (36.807) Prec@5 73.750 (67.452) Epoch: [17][7940/11272] Time 0.888 (0.805) Data 0.002 (0.002) Loss 2.5361 (2.6084) Prec@1 39.375 (36.807) Prec@5 65.625 (67.451) Epoch: [17][7950/11272] Time 0.722 (0.805) Data 0.001 (0.002) Loss 2.7308 (2.6084) Prec@1 33.750 (36.808) Prec@5 63.125 (67.451) Epoch: [17][7960/11272] Time 0.741 (0.805) Data 0.001 (0.002) Loss 2.5544 (2.6084) Prec@1 40.000 (36.808) Prec@5 69.375 (67.451) Epoch: [17][7970/11272] Time 0.881 (0.805) Data 0.002 (0.002) Loss 2.7091 (2.6085) Prec@1 34.375 (36.807) Prec@5 64.375 (67.450) Epoch: [17][7980/11272] Time 0.864 (0.805) Data 0.002 (0.002) Loss 2.3706 (2.6084) Prec@1 42.500 (36.808) Prec@5 73.750 (67.452) Epoch: [17][7990/11272] Time 0.741 (0.805) Data 0.001 (0.002) Loss 2.4503 (2.6084) Prec@1 40.000 (36.809) Prec@5 72.500 (67.452) Epoch: [17][8000/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 2.6077 (2.6085) Prec@1 37.500 (36.808) Prec@5 68.750 (67.451) Epoch: [17][8010/11272] Time 0.889 (0.805) Data 0.002 (0.002) Loss 2.8892 (2.6086) Prec@1 33.750 (36.807) Prec@5 60.000 (67.448) Epoch: [17][8020/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.8461 (2.6087) Prec@1 34.375 (36.806) Prec@5 67.500 (67.447) Epoch: [17][8030/11272] Time 0.742 (0.805) Data 0.001 (0.002) Loss 2.5591 (2.6088) Prec@1 36.250 (36.804) Prec@5 62.500 (67.443) Epoch: [17][8040/11272] Time 0.879 (0.805) Data 0.001 (0.002) Loss 2.6059 (2.6089) Prec@1 40.625 (36.802) Prec@5 68.750 (67.442) Epoch: [17][8050/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 2.6567 (2.6088) Prec@1 34.375 (36.803) Prec@5 68.750 (67.442) Epoch: [17][8060/11272] Time 0.733 (0.805) Data 0.002 (0.002) Loss 2.3229 (2.6087) Prec@1 45.000 (36.804) Prec@5 70.625 (67.444) Epoch: [17][8070/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.5827 (2.6088) Prec@1 38.750 (36.802) Prec@5 68.125 (67.445) Epoch: [17][8080/11272] Time 0.868 (0.805) Data 0.002 (0.002) Loss 2.4523 (2.6088) Prec@1 39.375 (36.803) Prec@5 71.875 (67.447) Epoch: [17][8090/11272] Time 0.891 (0.805) Data 0.002 (0.002) Loss 2.5465 (2.6088) Prec@1 39.375 (36.804) Prec@5 66.250 (67.448) Epoch: [17][8100/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.4068 (2.6086) Prec@1 39.375 (36.806) Prec@5 72.500 (67.449) Epoch: [17][8110/11272] Time 0.759 (0.805) Data 0.001 (0.002) Loss 2.4122 (2.6086) Prec@1 38.125 (36.807) Prec@5 74.375 (67.451) Epoch: [17][8120/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 2.4600 (2.6086) Prec@1 39.375 (36.806) Prec@5 67.500 (67.451) Epoch: [17][8130/11272] Time 0.898 (0.805) Data 0.002 (0.002) Loss 2.6759 (2.6085) Prec@1 33.125 (36.808) Prec@5 65.625 (67.452) Epoch: [17][8140/11272] Time 0.730 (0.805) Data 0.002 (0.002) Loss 2.5081 (2.6086) Prec@1 31.875 (36.805) Prec@5 72.500 (67.450) Epoch: [17][8150/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.3559 (2.6086) Prec@1 40.000 (36.805) Prec@5 72.500 (67.450) Epoch: [17][8160/11272] Time 0.844 (0.805) Data 0.001 (0.002) Loss 2.6416 (2.6086) Prec@1 35.625 (36.805) Prec@5 70.000 (67.450) Epoch: [17][8170/11272] Time 0.820 (0.805) Data 0.002 (0.002) Loss 2.3250 (2.6086) Prec@1 40.000 (36.803) Prec@5 70.625 (67.451) Epoch: [17][8180/11272] Time 0.756 (0.805) Data 0.001 (0.002) Loss 2.5066 (2.6085) Prec@1 38.750 (36.805) Prec@5 69.375 (67.452) Epoch: [17][8190/11272] Time 0.873 (0.805) Data 0.001 (0.002) Loss 2.3411 (2.6085) Prec@1 45.000 (36.806) Prec@5 75.625 (67.453) Epoch: [17][8200/11272] Time 0.862 (0.805) Data 0.002 (0.002) Loss 3.0258 (2.6087) Prec@1 28.125 (36.805) Prec@5 58.125 (67.449) Epoch: [17][8210/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.6310 (2.6087) Prec@1 36.250 (36.804) Prec@5 68.750 (67.450) Epoch: [17][8220/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.5929 (2.6087) Prec@1 40.000 (36.805) Prec@5 67.500 (67.451) Epoch: [17][8230/11272] Time 0.917 (0.805) Data 0.002 (0.002) Loss 2.4215 (2.6086) Prec@1 40.000 (36.806) Prec@5 70.000 (67.451) Epoch: [17][8240/11272] Time 0.849 (0.804) Data 0.002 (0.002) Loss 2.4007 (2.6087) Prec@1 40.625 (36.805) Prec@5 75.000 (67.450) Epoch: [17][8250/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.4882 (2.6087) Prec@1 35.000 (36.804) Prec@5 69.375 (67.449) Epoch: [17][8260/11272] Time 0.773 (0.804) Data 0.002 (0.002) Loss 2.6640 (2.6087) Prec@1 33.125 (36.803) Prec@5 66.875 (67.451) Epoch: [17][8270/11272] Time 0.859 (0.805) Data 0.001 (0.002) Loss 2.7654 (2.6086) Prec@1 33.125 (36.806) Prec@5 65.625 (67.452) Epoch: [17][8280/11272] Time 0.865 (0.804) Data 0.002 (0.002) Loss 2.5350 (2.6086) Prec@1 36.875 (36.806) Prec@5 67.500 (67.453) Epoch: [17][8290/11272] Time 0.766 (0.804) Data 0.001 (0.002) Loss 2.6404 (2.6085) Prec@1 35.000 (36.805) Prec@5 64.375 (67.453) Epoch: [17][8300/11272] Time 0.704 (0.804) Data 0.001 (0.002) Loss 2.2785 (2.6084) Prec@1 46.250 (36.807) Prec@5 73.750 (67.456) Epoch: [17][8310/11272] Time 0.893 (0.804) Data 0.002 (0.002) Loss 2.6704 (2.6084) Prec@1 37.500 (36.806) Prec@5 68.125 (67.456) Epoch: [17][8320/11272] Time 0.789 (0.804) Data 0.003 (0.002) Loss 2.3938 (2.6083) Prec@1 45.000 (36.808) Prec@5 76.250 (67.459) Epoch: [17][8330/11272] Time 0.737 (0.804) Data 0.001 (0.002) Loss 2.4862 (2.6083) Prec@1 43.125 (36.810) Prec@5 67.500 (67.460) Epoch: [17][8340/11272] Time 0.913 (0.804) Data 0.002 (0.002) Loss 2.7086 (2.6082) Prec@1 38.750 (36.810) Prec@5 70.000 (67.460) Epoch: [17][8350/11272] Time 0.890 (0.804) Data 0.002 (0.002) Loss 2.6005 (2.6083) Prec@1 35.625 (36.810) Prec@5 68.125 (67.460) Epoch: [17][8360/11272] Time 0.765 (0.804) Data 0.002 (0.002) Loss 2.7119 (2.6083) Prec@1 31.250 (36.809) Prec@5 68.125 (67.460) Epoch: [17][8370/11272] Time 0.767 (0.804) Data 0.001 (0.002) Loss 2.6965 (2.6083) Prec@1 36.875 (36.809) Prec@5 65.625 (67.460) Epoch: [17][8380/11272] Time 0.865 (0.804) Data 0.002 (0.002) Loss 2.6872 (2.6084) Prec@1 34.375 (36.806) Prec@5 65.000 (67.459) Epoch: [17][8390/11272] Time 0.802 (0.804) Data 0.001 (0.002) Loss 2.6176 (2.6084) Prec@1 39.375 (36.806) Prec@5 70.000 (67.461) Epoch: [17][8400/11272] Time 0.771 (0.804) Data 0.001 (0.002) Loss 2.6640 (2.6085) Prec@1 38.125 (36.805) Prec@5 67.500 (67.459) Epoch: [17][8410/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.7352 (2.6086) Prec@1 33.125 (36.804) Prec@5 64.375 (67.456) Epoch: [17][8420/11272] Time 0.867 (0.804) Data 0.001 (0.002) Loss 2.7100 (2.6086) Prec@1 35.000 (36.803) Prec@5 68.125 (67.454) Epoch: [17][8430/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.6205 (2.6086) Prec@1 40.000 (36.805) Prec@5 63.750 (67.452) Epoch: [17][8440/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.8064 (2.6086) Prec@1 32.500 (36.804) Prec@5 62.500 (67.453) Epoch: [17][8450/11272] Time 0.916 (0.804) Data 0.001 (0.002) Loss 2.5986 (2.6086) Prec@1 36.250 (36.803) Prec@5 66.875 (67.452) Epoch: [17][8460/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.5864 (2.6086) Prec@1 38.125 (36.803) Prec@5 66.875 (67.453) Epoch: [17][8470/11272] Time 0.812 (0.804) Data 0.002 (0.002) Loss 2.7608 (2.6086) Prec@1 31.250 (36.803) Prec@5 65.000 (67.452) Epoch: [17][8480/11272] Time 0.767 (0.804) Data 0.002 (0.002) Loss 2.5066 (2.6086) Prec@1 38.750 (36.802) Prec@5 68.125 (67.450) Epoch: [17][8490/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.8270 (2.6087) Prec@1 38.125 (36.802) Prec@5 62.500 (67.449) Epoch: [17][8500/11272] Time 0.842 (0.804) Data 0.001 (0.002) Loss 2.6641 (2.6088) Prec@1 36.875 (36.802) Prec@5 66.875 (67.448) Epoch: [17][8510/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.4714 (2.6088) Prec@1 43.125 (36.803) Prec@5 70.000 (67.447) Epoch: [17][8520/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.5170 (2.6087) Prec@1 36.250 (36.804) Prec@5 70.625 (67.450) Epoch: [17][8530/11272] Time 0.905 (0.804) Data 0.001 (0.002) Loss 2.7252 (2.6087) Prec@1 35.625 (36.803) Prec@5 64.375 (67.449) Epoch: [17][8540/11272] Time 0.841 (0.804) Data 0.002 (0.002) Loss 2.4165 (2.6087) Prec@1 38.125 (36.803) Prec@5 73.125 (67.449) Epoch: [17][8550/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.5527 (2.6088) Prec@1 33.750 (36.802) Prec@5 67.500 (67.448) Epoch: [17][8560/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 2.5701 (2.6088) Prec@1 38.750 (36.800) Prec@5 68.125 (67.447) Epoch: [17][8570/11272] Time 0.855 (0.804) Data 0.002 (0.002) Loss 2.6487 (2.6089) Prec@1 36.875 (36.798) Prec@5 66.875 (67.445) Epoch: [17][8580/11272] Time 0.772 (0.804) Data 0.010 (0.002) Loss 2.5634 (2.6088) Prec@1 38.750 (36.800) Prec@5 68.125 (67.448) Epoch: [17][8590/11272] Time 0.718 (0.804) Data 0.001 (0.002) Loss 2.7438 (2.6088) Prec@1 31.250 (36.799) Prec@5 66.250 (67.448) Epoch: [17][8600/11272] Time 0.878 (0.804) Data 0.001 (0.002) Loss 2.6775 (2.6088) Prec@1 36.875 (36.799) Prec@5 66.875 (67.449) Epoch: [17][8610/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 2.7130 (2.6087) Prec@1 38.750 (36.800) Prec@5 66.250 (67.449) Epoch: [17][8620/11272] Time 0.714 (0.804) Data 0.002 (0.002) Loss 2.5013 (2.6087) Prec@1 40.625 (36.802) Prec@5 66.250 (67.449) Epoch: [17][8630/11272] Time 0.748 (0.804) Data 0.001 (0.002) Loss 2.3380 (2.6086) Prec@1 43.125 (36.803) Prec@5 72.500 (67.450) Epoch: [17][8640/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.6962 (2.6085) Prec@1 34.375 (36.804) Prec@5 67.500 (67.453) Epoch: [17][8650/11272] Time 0.857 (0.805) Data 0.001 (0.002) Loss 2.6793 (2.6085) Prec@1 36.875 (36.804) Prec@5 65.000 (67.453) Epoch: [17][8660/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.4158 (2.6084) Prec@1 36.250 (36.804) Prec@5 70.625 (67.455) Epoch: [17][8670/11272] Time 0.708 (0.804) Data 0.001 (0.002) Loss 2.7134 (2.6084) Prec@1 31.875 (36.804) Prec@5 65.625 (67.455) Epoch: [17][8680/11272] Time 0.827 (0.804) Data 0.001 (0.002) Loss 2.5983 (2.6085) Prec@1 35.625 (36.801) Prec@5 69.375 (67.454) Epoch: [17][8690/11272] Time 0.866 (0.804) Data 0.001 (0.002) Loss 2.3524 (2.6085) Prec@1 45.000 (36.801) Prec@5 70.625 (67.454) Epoch: [17][8700/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 2.6213 (2.6085) Prec@1 32.500 (36.800) Prec@5 66.875 (67.452) Epoch: [17][8710/11272] Time 0.802 (0.804) Data 0.001 (0.002) Loss 2.4789 (2.6086) Prec@1 39.375 (36.798) Prec@5 75.625 (67.451) Epoch: [17][8720/11272] Time 0.867 (0.804) Data 0.001 (0.002) Loss 2.6746 (2.6086) Prec@1 31.875 (36.797) Prec@5 63.750 (67.452) Epoch: [17][8730/11272] Time 0.716 (0.804) Data 0.001 (0.002) Loss 2.7780 (2.6087) Prec@1 34.375 (36.794) Prec@5 63.750 (67.450) Epoch: [17][8740/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.6067 (2.6087) Prec@1 33.750 (36.793) Prec@5 65.000 (67.449) Epoch: [17][8750/11272] Time 0.871 (0.804) Data 0.002 (0.002) Loss 2.4526 (2.6087) Prec@1 41.250 (36.793) Prec@5 68.125 (67.450) Epoch: [17][8760/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.8479 (2.6087) Prec@1 29.375 (36.792) Prec@5 62.500 (67.451) Epoch: [17][8770/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.5570 (2.6086) Prec@1 35.000 (36.793) Prec@5 70.625 (67.452) Epoch: [17][8780/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.7715 (2.6087) Prec@1 33.125 (36.792) Prec@5 62.500 (67.451) Epoch: [17][8790/11272] Time 0.847 (0.804) Data 0.002 (0.002) Loss 2.5867 (2.6087) Prec@1 34.375 (36.792) Prec@5 67.500 (67.451) Epoch: [17][8800/11272] Time 0.906 (0.804) Data 0.002 (0.002) Loss 2.6760 (2.6087) Prec@1 36.875 (36.793) Prec@5 62.500 (67.450) Epoch: [17][8810/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.4449 (2.6087) Prec@1 33.750 (36.791) Prec@5 71.250 (67.450) Epoch: [17][8820/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.5783 (2.6087) Prec@1 36.875 (36.792) Prec@5 68.750 (67.450) Epoch: [17][8830/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.6768 (2.6087) Prec@1 38.125 (36.791) Prec@5 69.375 (67.450) Epoch: [17][8840/11272] Time 0.820 (0.804) Data 0.001 (0.002) Loss 2.6141 (2.6088) Prec@1 40.625 (36.788) Prec@5 67.500 (67.447) Epoch: [17][8850/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.6875 (2.6088) Prec@1 38.750 (36.789) Prec@5 68.125 (67.448) Epoch: [17][8860/11272] Time 0.895 (0.804) Data 0.002 (0.002) Loss 2.6240 (2.6087) Prec@1 34.375 (36.789) Prec@5 70.000 (67.448) Epoch: [17][8870/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.2773 (2.6086) Prec@1 38.750 (36.791) Prec@5 80.000 (67.451) Epoch: [17][8880/11272] Time 0.759 (0.804) Data 0.001 (0.002) Loss 2.6461 (2.6086) Prec@1 40.000 (36.792) Prec@5 68.125 (67.451) Epoch: [17][8890/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 2.6816 (2.6085) Prec@1 33.125 (36.794) Prec@5 65.000 (67.454) Epoch: [17][8900/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.4748 (2.6084) Prec@1 36.875 (36.794) Prec@5 71.250 (67.454) Epoch: [17][8910/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 2.5022 (2.6084) Prec@1 40.000 (36.795) Prec@5 70.000 (67.453) Epoch: [17][8920/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 2.8524 (2.6086) Prec@1 30.625 (36.792) Prec@5 66.875 (67.453) Epoch: [17][8930/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 2.8821 (2.6086) Prec@1 33.750 (36.792) Prec@5 61.250 (67.452) Epoch: [17][8940/11272] Time 0.878 (0.804) Data 0.002 (0.002) Loss 2.4887 (2.6085) Prec@1 40.625 (36.793) Prec@5 68.125 (67.453) Epoch: [17][8950/11272] Time 0.844 (0.804) Data 0.001 (0.002) Loss 2.5686 (2.6085) Prec@1 36.875 (36.794) Prec@5 71.250 (67.454) Epoch: [17][8960/11272] Time 0.735 (0.804) Data 0.001 (0.002) Loss 2.5728 (2.6086) Prec@1 30.625 (36.791) Prec@5 68.750 (67.453) Epoch: [17][8970/11272] Time 0.749 (0.804) Data 0.002 (0.002) Loss 2.5743 (2.6086) Prec@1 36.875 (36.791) Prec@5 65.000 (67.451) Epoch: [17][8980/11272] Time 0.898 (0.804) Data 0.002 (0.002) Loss 2.7500 (2.6086) Prec@1 30.000 (36.791) Prec@5 65.625 (67.451) Epoch: [17][8990/11272] Time 0.721 (0.804) Data 0.002 (0.002) Loss 2.2876 (2.6086) Prec@1 46.875 (36.791) Prec@5 75.000 (67.451) Epoch: [17][9000/11272] Time 0.738 (0.804) Data 0.001 (0.002) Loss 2.6888 (2.6086) Prec@1 32.500 (36.789) Prec@5 63.750 (67.450) Epoch: [17][9010/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.9445 (2.6086) Prec@1 37.500 (36.790) Prec@5 59.375 (67.452) Epoch: [17][9020/11272] Time 0.831 (0.804) Data 0.001 (0.002) Loss 2.5187 (2.6086) Prec@1 38.125 (36.791) Prec@5 71.250 (67.451) Epoch: [17][9030/11272] Time 0.743 (0.804) Data 0.002 (0.002) Loss 2.6185 (2.6085) Prec@1 36.875 (36.791) Prec@5 61.250 (67.452) Epoch: [17][9040/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.7084 (2.6085) Prec@1 35.625 (36.791) Prec@5 64.375 (67.452) Epoch: [17][9050/11272] Time 0.917 (0.804) Data 0.002 (0.002) Loss 2.4938 (2.6086) Prec@1 36.250 (36.788) Prec@5 69.375 (67.448) Epoch: [17][9060/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.7363 (2.6086) Prec@1 30.625 (36.787) Prec@5 65.625 (67.449) Epoch: [17][9070/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.5289 (2.6086) Prec@1 42.500 (36.789) Prec@5 69.375 (67.448) Epoch: [17][9080/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 3.0081 (2.6086) Prec@1 28.125 (36.788) Prec@5 60.625 (67.448) Epoch: [17][9090/11272] Time 0.856 (0.804) Data 0.001 (0.002) Loss 2.6591 (2.6087) Prec@1 36.250 (36.788) Prec@5 61.875 (67.446) Epoch: [17][9100/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 2.6910 (2.6087) Prec@1 38.750 (36.787) Prec@5 68.125 (67.446) Epoch: [17][9110/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.6044 (2.6088) Prec@1 38.125 (36.785) Prec@5 68.750 (67.445) Epoch: [17][9120/11272] Time 0.923 (0.804) Data 0.001 (0.002) Loss 2.6693 (2.6089) Prec@1 31.250 (36.784) Prec@5 66.875 (67.442) Epoch: [17][9130/11272] Time 0.878 (0.804) Data 0.002 (0.002) Loss 2.6327 (2.6089) Prec@1 32.500 (36.783) Prec@5 69.375 (67.441) Epoch: [17][9140/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.7282 (2.6089) Prec@1 36.250 (36.783) Prec@5 66.875 (67.442) Epoch: [17][9150/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.3197 (2.6090) Prec@1 40.625 (36.782) Prec@5 73.750 (67.440) Epoch: [17][9160/11272] Time 0.889 (0.804) Data 0.002 (0.002) Loss 2.5587 (2.6089) Prec@1 38.125 (36.785) Prec@5 67.500 (67.443) Epoch: [17][9170/11272] Time 0.884 (0.804) Data 0.002 (0.002) Loss 2.4300 (2.6089) Prec@1 41.250 (36.783) Prec@5 66.875 (67.442) Epoch: [17][9180/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.8181 (2.6090) Prec@1 30.000 (36.781) Prec@5 62.500 (67.441) Epoch: [17][9190/11272] Time 0.780 (0.804) Data 0.002 (0.002) Loss 2.6798 (2.6090) Prec@1 34.375 (36.781) Prec@5 68.750 (67.440) Epoch: [17][9200/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 2.7693 (2.6090) Prec@1 36.250 (36.781) Prec@5 66.875 (67.441) Epoch: [17][9210/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.2158 (2.6090) Prec@1 43.750 (36.780) Prec@5 73.750 (67.439) Epoch: [17][9220/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 3.0141 (2.6091) Prec@1 31.875 (36.781) Prec@5 55.625 (67.437) Epoch: [17][9230/11272] Time 0.759 (0.804) Data 0.002 (0.002) Loss 2.7746 (2.6091) Prec@1 35.625 (36.779) Prec@5 65.000 (67.436) Epoch: [17][9240/11272] Time 0.903 (0.804) Data 0.002 (0.002) Loss 2.7915 (2.6091) Prec@1 31.250 (36.780) Prec@5 65.625 (67.438) Epoch: [17][9250/11272] Time 0.793 (0.804) Data 0.004 (0.002) Loss 2.3775 (2.6091) Prec@1 38.125 (36.781) Prec@5 73.750 (67.439) Epoch: [17][9260/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.3803 (2.6090) Prec@1 41.875 (36.782) Prec@5 71.875 (67.439) Epoch: [17][9270/11272] Time 0.867 (0.804) Data 0.001 (0.002) Loss 2.6438 (2.6090) Prec@1 33.125 (36.783) Prec@5 65.625 (67.439) Epoch: [17][9280/11272] Time 0.867 (0.804) Data 0.002 (0.002) Loss 2.4380 (2.6090) Prec@1 38.125 (36.784) Prec@5 72.500 (67.440) Epoch: [17][9290/11272] Time 0.743 (0.804) Data 0.001 (0.002) Loss 2.5455 (2.6089) Prec@1 38.750 (36.785) Prec@5 70.625 (67.441) Epoch: [17][9300/11272] Time 0.735 (0.805) Data 0.001 (0.002) Loss 2.4368 (2.6089) Prec@1 39.375 (36.783) Prec@5 69.375 (67.440) Epoch: [17][9310/11272] Time 0.885 (0.805) Data 0.002 (0.002) Loss 2.2486 (2.6088) Prec@1 39.375 (36.785) Prec@5 76.875 (67.440) Epoch: [17][9320/11272] Time 0.839 (0.805) Data 0.002 (0.002) Loss 2.4757 (2.6088) Prec@1 37.500 (36.785) Prec@5 67.500 (67.441) Epoch: [17][9330/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.9314 (2.6088) Prec@1 31.875 (36.786) Prec@5 60.625 (67.441) Epoch: [17][9340/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 2.6126 (2.6087) Prec@1 38.125 (36.787) Prec@5 65.625 (67.443) Epoch: [17][9350/11272] Time 0.880 (0.805) Data 0.003 (0.002) Loss 2.3864 (2.6087) Prec@1 41.250 (36.788) Prec@5 70.625 (67.442) Epoch: [17][9360/11272] Time 0.879 (0.805) Data 0.002 (0.002) Loss 2.9386 (2.6088) Prec@1 30.000 (36.787) Prec@5 61.875 (67.442) Epoch: [17][9370/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.6479 (2.6088) Prec@1 38.750 (36.787) Prec@5 67.500 (67.440) Epoch: [17][9380/11272] Time 0.838 (0.805) Data 0.001 (0.002) Loss 2.6596 (2.6089) Prec@1 30.000 (36.784) Prec@5 65.625 (67.439) Epoch: [17][9390/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.6292 (2.6090) Prec@1 36.250 (36.783) Prec@5 68.125 (67.437) Epoch: [17][9400/11272] Time 0.759 (0.805) Data 0.002 (0.002) Loss 2.6159 (2.6090) Prec@1 35.625 (36.783) Prec@5 66.875 (67.437) Epoch: [17][9410/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.4302 (2.6090) Prec@1 44.375 (36.783) Prec@5 73.125 (67.436) Epoch: [17][9420/11272] Time 0.858 (0.805) Data 0.001 (0.002) Loss 2.7776 (2.6091) Prec@1 32.500 (36.780) Prec@5 68.125 (67.433) Epoch: [17][9430/11272] Time 0.904 (0.805) Data 0.002 (0.002) Loss 2.5834 (2.6092) Prec@1 36.875 (36.779) Prec@5 67.500 (67.432) Epoch: [17][9440/11272] Time 0.729 (0.805) Data 0.001 (0.002) Loss 2.3719 (2.6092) Prec@1 37.500 (36.778) Prec@5 73.125 (67.431) Epoch: [17][9450/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.6038 (2.6092) Prec@1 38.125 (36.778) Prec@5 65.000 (67.431) Epoch: [17][9460/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 2.7450 (2.6092) Prec@1 31.875 (36.779) Prec@5 67.500 (67.432) Epoch: [17][9470/11272] Time 0.829 (0.805) Data 0.002 (0.002) Loss 2.5896 (2.6092) Prec@1 40.000 (36.779) Prec@5 63.750 (67.432) Epoch: [17][9480/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.6119 (2.6092) Prec@1 39.375 (36.779) Prec@5 69.375 (67.434) Epoch: [17][9490/11272] Time 0.721 (0.805) Data 0.001 (0.002) Loss 2.6121 (2.6092) Prec@1 34.375 (36.778) Prec@5 67.500 (67.433) Epoch: [17][9500/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 2.5633 (2.6092) Prec@1 38.125 (36.778) Prec@5 68.750 (67.434) Epoch: [17][9510/11272] Time 0.766 (0.805) Data 0.003 (0.002) Loss 2.6511 (2.6092) Prec@1 40.000 (36.779) Prec@5 63.125 (67.433) Epoch: [17][9520/11272] Time 0.731 (0.805) Data 0.002 (0.002) Loss 2.5848 (2.6091) Prec@1 34.375 (36.779) Prec@5 66.875 (67.433) Epoch: [17][9530/11272] Time 0.873 (0.805) Data 0.001 (0.002) Loss 3.0616 (2.6092) Prec@1 33.125 (36.779) Prec@5 65.000 (67.433) Epoch: [17][9540/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.7384 (2.6092) Prec@1 37.500 (36.780) Prec@5 62.500 (67.434) Epoch: [17][9550/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.3715 (2.6091) Prec@1 41.250 (36.781) Prec@5 73.750 (67.435) Epoch: [17][9560/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.5710 (2.6092) Prec@1 37.500 (36.781) Prec@5 68.750 (67.434) Epoch: [17][9570/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.5559 (2.6091) Prec@1 38.125 (36.783) Prec@5 71.875 (67.437) Epoch: [17][9580/11272] Time 0.856 (0.805) Data 0.002 (0.002) Loss 2.8910 (2.6092) Prec@1 28.125 (36.781) Prec@5 62.500 (67.435) Epoch: [17][9590/11272] Time 0.720 (0.805) Data 0.001 (0.002) Loss 2.7196 (2.6092) Prec@1 35.625 (36.781) Prec@5 68.125 (67.435) Epoch: [17][9600/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.5968 (2.6092) Prec@1 35.625 (36.779) Prec@5 68.125 (67.435) Epoch: [17][9610/11272] Time 0.829 (0.805) Data 0.001 (0.002) Loss 2.7786 (2.6093) Prec@1 32.500 (36.778) Prec@5 65.000 (67.434) Epoch: [17][9620/11272] Time 0.847 (0.805) Data 0.002 (0.002) Loss 2.5530 (2.6093) Prec@1 38.750 (36.779) Prec@5 65.625 (67.434) Epoch: [17][9630/11272] Time 0.742 (0.805) Data 0.001 (0.002) Loss 2.7148 (2.6094) Prec@1 35.625 (36.776) Prec@5 61.875 (67.434) Epoch: [17][9640/11272] Time 0.822 (0.805) Data 0.001 (0.002) Loss 2.8799 (2.6095) Prec@1 38.125 (36.776) Prec@5 60.000 (67.431) Epoch: [17][9650/11272] Time 0.866 (0.805) Data 0.002 (0.002) Loss 2.4873 (2.6094) Prec@1 33.125 (36.776) Prec@5 73.125 (67.433) Epoch: [17][9660/11272] Time 0.713 (0.805) Data 0.001 (0.002) Loss 2.5911 (2.6094) Prec@1 38.750 (36.779) Prec@5 68.750 (67.433) Epoch: [17][9670/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.8300 (2.6094) Prec@1 31.250 (36.779) Prec@5 62.500 (67.431) Epoch: [17][9680/11272] Time 0.856 (0.805) Data 0.002 (0.002) Loss 2.5037 (2.6095) Prec@1 40.625 (36.779) Prec@5 68.750 (67.431) Epoch: [17][9690/11272] Time 0.824 (0.805) Data 0.001 (0.002) Loss 2.6949 (2.6095) Prec@1 33.750 (36.778) Prec@5 66.250 (67.431) Epoch: [17][9700/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 2.7097 (2.6095) Prec@1 39.375 (36.777) Prec@5 69.375 (67.431) Epoch: [17][9710/11272] Time 0.720 (0.805) Data 0.001 (0.002) Loss 2.9681 (2.6096) Prec@1 33.125 (36.776) Prec@5 58.750 (67.429) Epoch: [17][9720/11272] Time 0.867 (0.805) Data 0.002 (0.002) Loss 2.6131 (2.6095) Prec@1 35.000 (36.777) Prec@5 68.750 (67.428) Epoch: [17][9730/11272] Time 0.818 (0.805) Data 0.001 (0.002) Loss 2.4092 (2.6095) Prec@1 40.625 (36.778) Prec@5 70.000 (67.428) Epoch: [17][9740/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.5110 (2.6095) Prec@1 36.250 (36.779) Prec@5 71.250 (67.428) Epoch: [17][9750/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.5459 (2.6094) Prec@1 35.625 (36.781) Prec@5 66.250 (67.428) Epoch: [17][9760/11272] Time 0.862 (0.805) Data 0.002 (0.002) Loss 2.6892 (2.6094) Prec@1 33.750 (36.783) Prec@5 67.500 (67.428) Epoch: [17][9770/11272] Time 0.849 (0.805) Data 0.001 (0.002) Loss 2.6295 (2.6094) Prec@1 38.750 (36.783) Prec@5 65.000 (67.430) Epoch: [17][9780/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.8509 (2.6094) Prec@1 30.625 (36.782) Prec@5 63.125 (67.428) Epoch: [17][9790/11272] Time 0.858 (0.805) Data 0.001 (0.002) Loss 2.7792 (2.6095) Prec@1 34.375 (36.781) Prec@5 65.000 (67.426) Epoch: [17][9800/11272] Time 0.835 (0.805) Data 0.001 (0.002) Loss 2.4556 (2.6096) Prec@1 38.125 (36.779) Prec@5 68.125 (67.423) Epoch: [17][9810/11272] Time 0.725 (0.805) Data 0.002 (0.002) Loss 2.5562 (2.6096) Prec@1 37.500 (36.780) Prec@5 70.000 (67.423) Epoch: [17][9820/11272] Time 0.741 (0.805) Data 0.001 (0.002) Loss 2.5592 (2.6096) Prec@1 40.625 (36.781) Prec@5 67.500 (67.424) Epoch: [17][9830/11272] Time 0.881 (0.805) Data 0.002 (0.002) Loss 2.4467 (2.6096) Prec@1 38.750 (36.782) Prec@5 70.000 (67.426) Epoch: [17][9840/11272] Time 0.857 (0.805) Data 0.002 (0.002) Loss 2.5438 (2.6096) Prec@1 35.625 (36.779) Prec@5 69.375 (67.425) Epoch: [17][9850/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.5100 (2.6096) Prec@1 41.875 (36.780) Prec@5 68.125 (67.425) Epoch: [17][9860/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.7633 (2.6096) Prec@1 36.250 (36.781) Prec@5 69.375 (67.425) Epoch: [17][9870/11272] Time 0.883 (0.805) Data 0.002 (0.002) Loss 2.7204 (2.6096) Prec@1 34.375 (36.781) Prec@5 65.625 (67.425) Epoch: [17][9880/11272] Time 0.907 (0.805) Data 0.002 (0.002) Loss 2.5955 (2.6096) Prec@1 40.625 (36.782) Prec@5 67.500 (67.424) Epoch: [17][9890/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.7488 (2.6095) Prec@1 33.750 (36.784) Prec@5 63.750 (67.426) Epoch: [17][9900/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.6709 (2.6095) Prec@1 40.625 (36.785) Prec@5 63.125 (67.426) Epoch: [17][9910/11272] Time 0.876 (0.805) Data 0.002 (0.002) Loss 2.9425 (2.6095) Prec@1 24.375 (36.786) Prec@5 55.625 (67.424) Epoch: [17][9920/11272] Time 0.732 (0.805) Data 0.002 (0.002) Loss 2.5307 (2.6096) Prec@1 37.500 (36.786) Prec@5 66.250 (67.423) Epoch: [17][9930/11272] Time 0.824 (0.805) Data 0.002 (0.002) Loss 2.4322 (2.6096) Prec@1 34.375 (36.786) Prec@5 70.625 (67.422) Epoch: [17][9940/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.5697 (2.6097) Prec@1 36.875 (36.786) Prec@5 71.875 (67.421) Epoch: [17][9950/11272] Time 0.886 (0.805) Data 0.002 (0.002) Loss 2.6773 (2.6098) Prec@1 36.250 (36.784) Prec@5 68.750 (67.419) Epoch: [17][9960/11272] Time 0.732 (0.805) Data 0.002 (0.002) Loss 2.3968 (2.6099) Prec@1 41.875 (36.784) Prec@5 73.125 (67.419) Epoch: [17][9970/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.6568 (2.6099) Prec@1 34.375 (36.783) Prec@5 65.625 (67.418) Epoch: [17][9980/11272] Time 0.834 (0.805) Data 0.001 (0.002) Loss 2.8022 (2.6100) Prec@1 32.500 (36.781) Prec@5 63.125 (67.416) Epoch: [17][9990/11272] Time 0.839 (0.805) Data 0.002 (0.002) Loss 2.5586 (2.6100) Prec@1 33.125 (36.779) Prec@5 68.125 (67.415) Epoch: [17][10000/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 2.7896 (2.6101) Prec@1 32.500 (36.778) Prec@5 65.625 (67.414) Epoch: [17][10010/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.8820 (2.6101) Prec@1 33.750 (36.779) Prec@5 62.500 (67.414) Epoch: [17][10020/11272] Time 0.869 (0.805) Data 0.002 (0.002) Loss 2.6262 (2.6102) Prec@1 34.375 (36.778) Prec@5 65.000 (67.413) Epoch: [17][10030/11272] Time 0.878 (0.805) Data 0.002 (0.002) Loss 2.4328 (2.6101) Prec@1 40.625 (36.781) Prec@5 70.000 (67.415) Epoch: [17][10040/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.4409 (2.6101) Prec@1 38.750 (36.781) Prec@5 68.125 (67.415) Epoch: [17][10050/11272] Time 0.853 (0.805) Data 0.001 (0.002) Loss 2.6929 (2.6100) Prec@1 31.875 (36.783) Prec@5 67.500 (67.416) Epoch: [17][10060/11272] Time 0.918 (0.805) Data 0.002 (0.002) Loss 2.5920 (2.6100) Prec@1 31.875 (36.782) Prec@5 69.375 (67.417) Epoch: [17][10070/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.3292 (2.6101) Prec@1 40.625 (36.781) Prec@5 71.875 (67.417) Epoch: [17][10080/11272] Time 0.750 (0.805) Data 0.001 (0.002) Loss 2.6691 (2.6101) Prec@1 36.250 (36.780) Prec@5 63.125 (67.416) Epoch: [17][10090/11272] Time 0.869 (0.805) Data 0.002 (0.002) Loss 2.6195 (2.6102) Prec@1 39.375 (36.779) Prec@5 65.625 (67.413) Epoch: [17][10100/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 2.7085 (2.6103) Prec@1 36.250 (36.779) Prec@5 65.000 (67.412) Epoch: [17][10110/11272] Time 0.745 (0.805) Data 0.001 (0.002) Loss 2.4794 (2.6103) Prec@1 39.375 (36.780) Prec@5 73.125 (67.413) Epoch: [17][10120/11272] Time 0.735 (0.805) Data 0.001 (0.002) Loss 2.5972 (2.6103) Prec@1 39.375 (36.778) Prec@5 67.500 (67.412) Epoch: [17][10130/11272] Time 0.878 (0.805) Data 0.002 (0.002) Loss 2.5552 (2.6103) Prec@1 33.750 (36.778) Prec@5 69.375 (67.412) Epoch: [17][10140/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.6945 (2.6102) Prec@1 33.750 (36.779) Prec@5 62.500 (67.412) Epoch: [17][10150/11272] Time 0.711 (0.805) Data 0.001 (0.002) Loss 2.3254 (2.6102) Prec@1 45.000 (36.781) Prec@5 75.000 (67.415) Epoch: [17][10160/11272] Time 0.744 (0.805) Data 0.001 (0.002) Loss 2.6821 (2.6101) Prec@1 37.500 (36.781) Prec@5 67.500 (67.416) Epoch: [17][10170/11272] Time 0.875 (0.805) Data 0.002 (0.002) Loss 2.6697 (2.6101) Prec@1 30.000 (36.780) Prec@5 66.875 (67.416) Epoch: [17][10180/11272] Time 0.722 (0.805) Data 0.003 (0.002) Loss 2.6995 (2.6101) Prec@1 34.375 (36.782) Prec@5 64.375 (67.416) Epoch: [17][10190/11272] Time 0.721 (0.805) Data 0.001 (0.002) Loss 2.6127 (2.6101) Prec@1 39.375 (36.783) Prec@5 66.875 (67.416) Epoch: [17][10200/11272] Time 0.871 (0.805) Data 0.002 (0.002) Loss 2.5684 (2.6102) Prec@1 36.250 (36.782) Prec@5 69.375 (67.414) Epoch: [17][10210/11272] Time 0.870 (0.805) Data 0.002 (0.002) Loss 2.4617 (2.6102) Prec@1 41.875 (36.782) Prec@5 69.375 (67.414) Epoch: [17][10220/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.6755 (2.6102) Prec@1 34.375 (36.782) Prec@5 68.125 (67.414) Epoch: [17][10230/11272] Time 0.733 (0.805) Data 0.002 (0.002) Loss 2.6648 (2.6102) Prec@1 38.125 (36.780) Prec@5 65.000 (67.414) Epoch: [17][10240/11272] Time 0.882 (0.805) Data 0.001 (0.002) Loss 2.6087 (2.6102) Prec@1 32.500 (36.780) Prec@5 69.375 (67.413) Epoch: [17][10250/11272] Time 0.880 (0.805) Data 0.002 (0.002) Loss 2.5034 (2.6102) Prec@1 35.625 (36.780) Prec@5 71.875 (67.414) Epoch: [17][10260/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.9076 (2.6102) Prec@1 30.625 (36.779) Prec@5 62.500 (67.412) Epoch: [17][10270/11272] Time 0.741 (0.805) Data 0.001 (0.002) Loss 2.6682 (2.6102) Prec@1 31.875 (36.780) Prec@5 68.750 (67.414) Epoch: [17][10280/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.6540 (2.6101) Prec@1 40.625 (36.780) Prec@5 65.625 (67.413) Epoch: [17][10290/11272] Time 0.840 (0.805) Data 0.002 (0.002) Loss 2.7113 (2.6102) Prec@1 37.500 (36.779) Prec@5 68.125 (67.413) Epoch: [17][10300/11272] Time 0.739 (0.805) Data 0.002 (0.002) Loss 2.4559 (2.6102) Prec@1 40.625 (36.778) Prec@5 71.250 (67.411) Epoch: [17][10310/11272] Time 0.830 (0.805) Data 0.001 (0.002) Loss 2.4514 (2.6102) Prec@1 43.125 (36.776) Prec@5 70.625 (67.409) Epoch: [17][10320/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.5734 (2.6103) Prec@1 38.125 (36.777) Prec@5 70.000 (67.408) Epoch: [17][10330/11272] Time 0.708 (0.805) Data 0.001 (0.002) Loss 3.0264 (2.6103) Prec@1 29.375 (36.776) Prec@5 61.250 (67.408) Epoch: [17][10340/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.8019 (2.6103) Prec@1 35.625 (36.776) Prec@5 63.750 (67.407) Epoch: [17][10350/11272] Time 0.866 (0.805) Data 0.002 (0.002) Loss 2.7778 (2.6103) Prec@1 31.875 (36.776) Prec@5 63.750 (67.407) Epoch: [17][10360/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.5425 (2.6103) Prec@1 31.250 (36.777) Prec@5 68.750 (67.408) Epoch: [17][10370/11272] Time 0.722 (0.805) Data 0.001 (0.002) Loss 2.6884 (2.6102) Prec@1 33.125 (36.777) Prec@5 65.000 (67.408) Epoch: [17][10380/11272] Time 0.746 (0.805) Data 0.001 (0.002) Loss 2.8333 (2.6103) Prec@1 33.750 (36.776) Prec@5 62.500 (67.408) Epoch: [17][10390/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.5317 (2.6102) Prec@1 32.500 (36.775) Prec@5 71.250 (67.408) Epoch: [17][10400/11272] Time 0.855 (0.805) Data 0.002 (0.002) Loss 2.5213 (2.6102) Prec@1 41.250 (36.778) Prec@5 69.375 (67.408) Epoch: [17][10410/11272] Time 0.742 (0.805) Data 0.001 (0.002) Loss 2.5646 (2.6101) Prec@1 37.500 (36.780) Prec@5 71.250 (67.410) Epoch: [17][10420/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.6472 (2.6101) Prec@1 34.375 (36.781) Prec@5 66.875 (67.410) Epoch: [17][10430/11272] Time 0.886 (0.805) Data 0.002 (0.002) Loss 2.5567 (2.6101) Prec@1 33.750 (36.779) Prec@5 70.000 (67.410) Epoch: [17][10440/11272] Time 0.736 (0.805) Data 0.003 (0.002) Loss 2.2162 (2.6100) Prec@1 48.125 (36.780) Prec@5 74.375 (67.411) Epoch: [17][10450/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.4598 (2.6100) Prec@1 35.625 (36.781) Prec@5 69.375 (67.411) Epoch: [17][10460/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 2.4468 (2.6100) Prec@1 39.375 (36.781) Prec@5 68.750 (67.411) Epoch: [17][10470/11272] Time 0.913 (0.805) Data 0.002 (0.002) Loss 2.8441 (2.6100) Prec@1 31.875 (36.783) Prec@5 65.000 (67.409) Epoch: [17][10480/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.7170 (2.6100) Prec@1 30.625 (36.783) Prec@5 64.375 (67.411) Epoch: [17][10490/11272] Time 0.716 (0.805) Data 0.001 (0.002) Loss 2.4194 (2.6101) Prec@1 39.375 (36.782) Prec@5 73.125 (67.410) Epoch: [17][10500/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 2.5642 (2.6101) Prec@1 38.125 (36.781) Prec@5 66.250 (67.409) Epoch: [17][10510/11272] Time 0.884 (0.805) Data 0.002 (0.002) Loss 2.4998 (2.6101) Prec@1 39.375 (36.782) Prec@5 69.375 (67.409) Epoch: [17][10520/11272] Time 0.745 (0.805) Data 0.001 (0.002) Loss 2.7260 (2.6100) Prec@1 37.500 (36.783) Prec@5 64.375 (67.410) Epoch: [17][10530/11272] Time 0.729 (0.805) Data 0.001 (0.002) Loss 2.6444 (2.6101) Prec@1 35.000 (36.784) Prec@5 65.625 (67.409) Epoch: [17][10540/11272] Time 0.851 (0.805) Data 0.001 (0.002) Loss 2.4532 (2.6101) Prec@1 35.625 (36.783) Prec@5 71.250 (67.410) Epoch: [17][10550/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.7172 (2.6101) Prec@1 35.000 (36.780) Prec@5 63.750 (67.409) Epoch: [17][10560/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.3251 (2.6101) Prec@1 43.750 (36.781) Prec@5 73.125 (67.409) Epoch: [17][10570/11272] Time 0.869 (0.805) Data 0.002 (0.002) Loss 2.7059 (2.6102) Prec@1 33.125 (36.780) Prec@5 63.125 (67.406) Epoch: [17][10580/11272] Time 0.907 (0.805) Data 0.001 (0.002) Loss 2.4564 (2.6102) Prec@1 39.375 (36.781) Prec@5 71.875 (67.407) Epoch: [17][10590/11272] Time 0.740 (0.805) Data 0.002 (0.002) Loss 2.5891 (2.6101) Prec@1 39.375 (36.782) Prec@5 72.500 (67.408) Epoch: [17][10600/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.8364 (2.6101) Prec@1 31.250 (36.781) Prec@5 63.750 (67.408) Epoch: [17][10610/11272] Time 0.877 (0.805) Data 0.002 (0.002) Loss 2.6139 (2.6100) Prec@1 39.375 (36.782) Prec@5 66.250 (67.409) Epoch: [17][10620/11272] Time 0.902 (0.805) Data 0.002 (0.002) Loss 2.3719 (2.6100) Prec@1 41.875 (36.781) Prec@5 73.125 (67.411) Epoch: [17][10630/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.7160 (2.6100) Prec@1 36.875 (36.781) Prec@5 66.250 (67.410) Epoch: [17][10640/11272] Time 0.714 (0.805) Data 0.001 (0.002) Loss 2.3549 (2.6100) Prec@1 36.250 (36.781) Prec@5 70.000 (67.410) Epoch: [17][10650/11272] Time 0.821 (0.805) Data 0.001 (0.002) Loss 2.5617 (2.6099) Prec@1 37.500 (36.783) Prec@5 66.250 (67.411) Epoch: [17][10660/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 2.2878 (2.6099) Prec@1 38.750 (36.784) Prec@5 75.000 (67.411) Epoch: [17][10670/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.5973 (2.6099) Prec@1 38.125 (36.782) Prec@5 67.500 (67.411) Epoch: [17][10680/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.6450 (2.6099) Prec@1 35.625 (36.782) Prec@5 62.500 (67.409) Epoch: [17][10690/11272] Time 0.907 (0.805) Data 0.002 (0.002) Loss 2.6080 (2.6099) Prec@1 38.125 (36.782) Prec@5 66.875 (67.410) Epoch: [17][10700/11272] Time 0.841 (0.805) Data 0.002 (0.002) Loss 2.4831 (2.6099) Prec@1 36.875 (36.782) Prec@5 66.250 (67.411) Epoch: [17][10710/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.3744 (2.6099) Prec@1 43.125 (36.785) Prec@5 72.500 (67.411) Epoch: [17][10720/11272] Time 0.932 (0.805) Data 0.002 (0.002) Loss 2.5165 (2.6099) Prec@1 38.750 (36.784) Prec@5 67.500 (67.410) Epoch: [17][10730/11272] Time 0.907 (0.805) Data 0.002 (0.002) Loss 2.7692 (2.6099) Prec@1 31.250 (36.784) Prec@5 66.875 (67.410) Epoch: [17][10740/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.5998 (2.6100) Prec@1 38.750 (36.784) Prec@5 66.875 (67.410) Epoch: [17][10750/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 2.4941 (2.6100) Prec@1 40.625 (36.784) Prec@5 66.875 (67.410) Epoch: [17][10760/11272] Time 0.849 (0.805) Data 0.002 (0.002) Loss 2.6349 (2.6099) Prec@1 35.625 (36.785) Prec@5 64.375 (67.410) Epoch: [17][10770/11272] Time 0.923 (0.805) Data 0.002 (0.002) Loss 2.3959 (2.6100) Prec@1 37.500 (36.783) Prec@5 72.500 (67.410) Epoch: [17][10780/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 2.6943 (2.6101) Prec@1 33.750 (36.781) Prec@5 66.875 (67.409) Epoch: [17][10790/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.7930 (2.6101) Prec@1 36.875 (36.780) Prec@5 66.875 (67.408) Epoch: [17][10800/11272] Time 0.904 (0.805) Data 0.002 (0.002) Loss 2.3304 (2.6101) Prec@1 43.750 (36.780) Prec@5 73.750 (67.408) Epoch: [17][10810/11272] Time 0.880 (0.805) Data 0.002 (0.002) Loss 2.6174 (2.6101) Prec@1 34.375 (36.779) Prec@5 66.875 (67.409) Epoch: [17][10820/11272] Time 0.729 (0.805) Data 0.001 (0.002) Loss 2.4960 (2.6101) Prec@1 40.000 (36.779) Prec@5 68.125 (67.408) Epoch: [17][10830/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 2.5104 (2.6101) Prec@1 39.375 (36.779) Prec@5 70.625 (67.408) Epoch: [17][10840/11272] Time 0.862 (0.805) Data 0.001 (0.002) Loss 2.6113 (2.6101) Prec@1 40.000 (36.779) Prec@5 65.000 (67.407) Epoch: [17][10850/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.4457 (2.6101) Prec@1 39.375 (36.781) Prec@5 71.875 (67.408) Epoch: [17][10860/11272] Time 0.747 (0.805) Data 0.001 (0.002) Loss 2.7934 (2.6100) Prec@1 31.875 (36.782) Prec@5 62.500 (67.408) Epoch: [17][10870/11272] Time 0.899 (0.805) Data 0.001 (0.002) Loss 2.6068 (2.6100) Prec@1 32.500 (36.781) Prec@5 65.625 (67.407) Epoch: [17][10880/11272] Time 0.840 (0.805) Data 0.002 (0.002) Loss 2.3961 (2.6100) Prec@1 38.125 (36.781) Prec@5 71.875 (67.408) Epoch: [17][10890/11272] Time 0.746 (0.805) Data 0.001 (0.002) Loss 2.3786 (2.6100) Prec@1 39.375 (36.783) Prec@5 74.375 (67.409) Epoch: [17][10900/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.4595 (2.6099) Prec@1 41.875 (36.785) Prec@5 68.750 (67.411) Epoch: [17][10910/11272] Time 0.877 (0.805) Data 0.002 (0.002) Loss 2.5214 (2.6099) Prec@1 38.125 (36.785) Prec@5 70.000 (67.411) Epoch: [17][10920/11272] Time 0.849 (0.805) Data 0.002 (0.002) Loss 2.7985 (2.6100) Prec@1 33.125 (36.784) Prec@5 61.875 (67.411) Epoch: [17][10930/11272] Time 0.755 (0.805) Data 0.002 (0.002) Loss 2.7213 (2.6099) Prec@1 31.875 (36.784) Prec@5 63.750 (67.412) Epoch: [17][10940/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.6690 (2.6100) Prec@1 38.750 (36.783) Prec@5 69.375 (67.412) Epoch: [17][10950/11272] Time 0.904 (0.805) Data 0.002 (0.002) Loss 2.8526 (2.6101) Prec@1 28.750 (36.782) Prec@5 61.250 (67.410) Epoch: [17][10960/11272] Time 0.834 (0.805) Data 0.002 (0.002) Loss 2.7591 (2.6101) Prec@1 28.750 (36.780) Prec@5 66.875 (67.408) Epoch: [17][10970/11272] Time 0.753 (0.805) Data 0.001 (0.002) Loss 2.5278 (2.6102) Prec@1 33.125 (36.779) Prec@5 69.375 (67.407) Epoch: [17][10980/11272] Time 0.891 (0.805) Data 0.002 (0.002) Loss 2.7270 (2.6101) Prec@1 33.125 (36.779) Prec@5 65.625 (67.409) Epoch: [17][10990/11272] Time 0.836 (0.805) Data 0.002 (0.002) Loss 2.6963 (2.6101) Prec@1 32.500 (36.779) Prec@5 66.875 (67.409) Epoch: [17][11000/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.5669 (2.6102) Prec@1 33.125 (36.778) Prec@5 68.750 (67.407) Epoch: [17][11010/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.8072 (2.6102) Prec@1 32.500 (36.778) Prec@5 63.750 (67.408) Epoch: [17][11020/11272] Time 0.893 (0.805) Data 0.002 (0.002) Loss 2.4200 (2.6102) Prec@1 40.625 (36.777) Prec@5 71.875 (67.407) Epoch: [17][11030/11272] Time 0.865 (0.805) Data 0.002 (0.002) Loss 2.5426 (2.6101) Prec@1 37.500 (36.780) Prec@5 63.125 (67.409) Epoch: [17][11040/11272] Time 0.772 (0.805) Data 0.001 (0.002) Loss 2.5217 (2.6101) Prec@1 39.375 (36.782) Prec@5 71.250 (67.409) Epoch: [17][11050/11272] Time 0.735 (0.805) Data 0.001 (0.002) Loss 2.5576 (2.6101) Prec@1 34.375 (36.781) Prec@5 68.750 (67.410) Epoch: [17][11060/11272] Time 0.875 (0.805) Data 0.002 (0.002) Loss 2.4095 (2.6101) Prec@1 40.625 (36.781) Prec@5 72.500 (67.410) Epoch: [17][11070/11272] Time 0.891 (0.805) Data 0.002 (0.002) Loss 2.3505 (2.6101) Prec@1 40.000 (36.781) Prec@5 73.750 (67.409) Epoch: [17][11080/11272] Time 0.729 (0.805) Data 0.002 (0.002) Loss 2.5190 (2.6101) Prec@1 42.500 (36.784) Prec@5 65.625 (67.409) Epoch: [17][11090/11272] Time 0.773 (0.805) Data 0.002 (0.002) Loss 2.5313 (2.6101) Prec@1 36.875 (36.783) Prec@5 64.375 (67.410) Epoch: [17][11100/11272] Time 0.858 (0.805) Data 0.001 (0.002) Loss 2.6581 (2.6101) Prec@1 36.875 (36.783) Prec@5 67.500 (67.409) Epoch: [17][11110/11272] Time 0.747 (0.805) Data 0.003 (0.002) Loss 2.7119 (2.6102) Prec@1 35.625 (36.784) Prec@5 65.000 (67.409) Epoch: [17][11120/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 2.5946 (2.6102) Prec@1 38.125 (36.782) Prec@5 68.125 (67.408) Epoch: [17][11130/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 2.5029 (2.6102) Prec@1 39.375 (36.783) Prec@5 73.125 (67.409) Epoch: [17][11140/11272] Time 0.857 (0.805) Data 0.002 (0.002) Loss 2.2419 (2.6102) Prec@1 43.750 (36.784) Prec@5 75.625 (67.410) Epoch: [17][11150/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.7071 (2.6102) Prec@1 35.000 (36.783) Prec@5 61.875 (67.410) Epoch: [17][11160/11272] Time 0.735 (0.805) Data 0.002 (0.002) Loss 2.6631 (2.6102) Prec@1 31.250 (36.783) Prec@5 64.375 (67.411) Epoch: [17][11170/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 2.5677 (2.6102) Prec@1 38.750 (36.783) Prec@5 67.500 (67.410) Epoch: [17][11180/11272] Time 0.892 (0.805) Data 0.002 (0.002) Loss 2.4970 (2.6103) Prec@1 36.250 (36.782) Prec@5 68.125 (67.407) Epoch: [17][11190/11272] Time 0.745 (0.805) Data 0.002 (0.002) Loss 2.7260 (2.6103) Prec@1 39.375 (36.780) Prec@5 63.750 (67.406) Epoch: [17][11200/11272] Time 0.736 (0.805) Data 0.001 (0.002) Loss 2.3577 (2.6103) Prec@1 41.875 (36.780) Prec@5 75.000 (67.406) Epoch: [17][11210/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.7431 (2.6103) Prec@1 34.375 (36.781) Prec@5 65.000 (67.405) Epoch: [17][11220/11272] Time 0.838 (0.805) Data 0.001 (0.002) Loss 2.6679 (2.6103) Prec@1 35.000 (36.781) Prec@5 66.875 (67.406) Epoch: [17][11230/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.5001 (2.6104) Prec@1 40.625 (36.779) Prec@5 65.000 (67.405) Epoch: [17][11240/11272] Time 0.824 (0.805) Data 0.002 (0.002) Loss 2.2937 (2.6103) Prec@1 41.875 (36.779) Prec@5 74.375 (67.407) Epoch: [17][11250/11272] Time 0.895 (0.805) Data 0.002 (0.002) Loss 2.6464 (2.6104) Prec@1 38.125 (36.777) Prec@5 67.500 (67.406) Epoch: [17][11260/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 2.3258 (2.6103) Prec@1 38.750 (36.778) Prec@5 71.875 (67.408) Epoch: [17][11270/11272] Time 0.733 (0.805) Data 0.000 (0.002) Loss 2.4352 (2.6103) Prec@1 38.125 (36.777) Prec@5 67.500 (67.407) Test: [0/229] Time 1.236 (1.236) Loss 1.5969 (1.5969) Prec@1 48.125 (48.125) Prec@5 90.625 (90.625) Test: [10/229] Time 0.463 (0.485) Loss 1.5180 (2.1435) Prec@1 56.875 (43.977) Prec@5 94.375 (79.830) Test: [20/229] Time 0.342 (0.447) Loss 2.3678 (2.2301) Prec@1 43.750 (42.917) Prec@5 72.500 (76.548) Test: [30/229] Time 0.333 (0.428) Loss 2.5379 (2.1362) Prec@1 30.000 (45.423) Prec@5 73.125 (77.601) Test: [40/229] Time 0.452 (0.421) Loss 0.8306 (2.1403) Prec@1 85.625 (45.335) Prec@5 90.000 (77.546) Test: [50/229] Time 0.348 (0.414) Loss 3.2543 (2.1989) Prec@1 8.750 (44.289) Prec@5 62.500 (75.833) Test: [60/229] Time 0.491 (0.411) Loss 3.3176 (2.2151) Prec@1 16.875 (43.535) Prec@5 54.375 (75.420) Test: [70/229] Time 0.347 (0.406) Loss 2.0175 (2.2190) Prec@1 49.375 (43.371) Prec@5 75.625 (75.238) Test: [80/229] Time 0.448 (0.403) Loss 2.5586 (2.2279) Prec@1 29.375 (42.785) Prec@5 68.125 (75.378) Test: [90/229] Time 0.455 (0.401) Loss 2.3196 (2.2554) Prec@1 48.125 (42.411) Prec@5 70.000 (75.076) Test: [100/229] Time 0.342 (0.399) Loss 2.7185 (2.2415) Prec@1 30.625 (42.834) Prec@5 71.250 (75.254) Test: [110/229] Time 0.449 (0.398) Loss 2.3925 (2.2303) Prec@1 35.625 (43.119) Prec@5 74.375 (75.535) Test: [120/229] Time 0.369 (0.398) Loss 3.8447 (2.2648) Prec@1 13.750 (42.175) Prec@5 46.875 (74.990) Test: [130/229] Time 0.436 (0.397) Loss 1.4182 (2.2541) Prec@1 61.250 (42.543) Prec@5 89.375 (75.162) Test: [140/229] Time 0.389 (0.396) Loss 2.2309 (2.2692) Prec@1 43.125 (42.114) Prec@5 74.375 (75.058) Test: [150/229] Time 0.329 (0.395) Loss 1.8310 (2.2846) Prec@1 55.625 (41.858) Prec@5 80.625 (74.826) Test: [160/229] Time 0.397 (0.393) Loss 2.6981 (2.2894) Prec@1 40.000 (41.906) Prec@5 71.875 (74.728) Test: [170/229] Time 0.347 (0.392) Loss 2.4931 (2.3064) Prec@1 34.375 (41.422) Prec@5 74.375 (74.507) Test: [180/229] Time 0.499 (0.392) Loss 2.8845 (2.3172) Prec@1 30.000 (41.333) Prec@5 59.375 (74.157) Test: [190/229] Time 0.360 (0.392) Loss 1.3443 (2.3071) Prec@1 61.875 (41.652) Prec@5 94.375 (74.349) Test: [200/229] Time 0.422 (0.393) Loss 2.2955 (2.2941) Prec@1 38.125 (41.872) Prec@5 75.625 (74.711) Test: [210/229] Time 0.359 (0.392) Loss 1.4546 (2.2838) Prec@1 55.625 (42.100) Prec@5 88.750 (74.941) Test: [220/229] Time 0.372 (0.392) Loss 1.6301 (2.2683) Prec@1 61.875 (42.639) Prec@5 86.875 (75.156) * Prec@1 43.051 Prec@5 75.346 Epoch: [18][0/11272] Time 2.600 (2.600) Data 1.714 (1.714) Loss 2.7843 (2.7843) Prec@1 35.000 (35.000) Prec@5 64.375 (64.375) Epoch: [18][10/11272] Time 0.730 (0.972) Data 0.001 (0.157) Loss 2.6933 (2.5490) Prec@1 31.875 (37.955) Prec@5 67.500 (68.977) Epoch: [18][20/11272] Time 0.858 (0.891) Data 0.002 (0.083) Loss 2.5285 (2.5938) Prec@1 35.000 (36.905) Prec@5 73.125 (68.214) Epoch: [18][30/11272] Time 0.819 (0.857) Data 0.001 (0.057) Loss 2.6580 (2.6105) Prec@1 39.375 (37.137) Prec@5 63.750 (67.581) Epoch: [18][40/11272] Time 0.727 (0.842) Data 0.001 (0.043) Loss 2.5286 (2.6111) Prec@1 36.875 (36.845) Prec@5 67.500 (67.683) Epoch: [18][50/11272] Time 0.901 (0.836) Data 0.001 (0.035) Loss 2.5556 (2.6084) Prec@1 38.125 (37.034) Prec@5 64.375 (67.574) Epoch: [18][60/11272] Time 0.877 (0.832) Data 0.002 (0.030) Loss 2.7826 (2.6073) Prec@1 30.625 (36.834) Prec@5 60.000 (67.439) Epoch: [18][70/11272] Time 0.742 (0.828) Data 0.001 (0.026) Loss 2.6721 (2.5998) Prec@1 33.125 (37.025) Prec@5 65.625 (67.562) Epoch: [18][80/11272] Time 0.700 (0.826) Data 0.001 (0.023) Loss 2.6924 (2.5944) Prec@1 40.000 (37.106) Prec@5 68.750 (67.562) Epoch: [18][90/11272] Time 0.895 (0.822) Data 0.002 (0.020) Loss 2.8011 (2.5876) Prec@1 33.125 (37.081) Prec@5 61.875 (67.795) Epoch: [18][100/11272] Time 0.846 (0.820) Data 0.001 (0.019) Loss 2.5078 (2.5861) Prec@1 39.375 (36.974) Prec@5 69.375 (67.890) Epoch: [18][110/11272] Time 0.733 (0.817) Data 0.001 (0.017) Loss 2.3005 (2.5867) Prec@1 37.500 (36.971) Prec@5 71.875 (67.905) Epoch: [18][120/11272] Time 0.729 (0.817) Data 0.002 (0.016) Loss 2.3863 (2.5814) Prec@1 40.000 (37.257) Prec@5 71.250 (68.068) Epoch: [18][130/11272] Time 0.863 (0.818) Data 0.002 (0.015) Loss 2.6078 (2.5836) Prec@1 38.750 (37.290) Prec@5 67.500 (68.030) Epoch: [18][140/11272] Time 0.862 (0.817) Data 0.002 (0.014) Loss 2.4877 (2.5787) Prec@1 37.500 (37.305) Prec@5 68.125 (67.992) Epoch: [18][150/11272] Time 0.731 (0.816) Data 0.001 (0.013) Loss 2.5085 (2.5822) Prec@1 34.375 (37.219) Prec@5 73.125 (67.897) Epoch: [18][160/11272] Time 0.741 (0.814) Data 0.001 (0.012) Loss 2.4767 (2.5803) Prec@1 36.875 (37.213) Prec@5 70.000 (67.880) Epoch: [18][170/11272] Time 0.920 (0.815) Data 0.002 (0.012) Loss 2.9013 (2.5833) Prec@1 33.125 (37.142) Prec@5 65.000 (67.807) Epoch: [18][180/11272] Time 0.798 (0.814) Data 0.004 (0.011) Loss 2.2232 (2.5835) Prec@1 46.250 (37.234) Prec@5 73.750 (67.831) Epoch: [18][190/11272] Time 0.736 (0.813) Data 0.001 (0.011) Loss 2.6603 (2.5817) Prec@1 33.125 (37.222) Prec@5 68.750 (67.886) Epoch: [18][200/11272] Time 0.895 (0.813) Data 0.002 (0.010) Loss 2.4344 (2.5787) Prec@1 43.125 (37.279) Prec@5 71.250 (67.948) Epoch: [18][210/11272] Time 0.876 (0.813) Data 0.003 (0.010) Loss 2.7921 (2.5801) Prec@1 35.625 (37.222) Prec@5 61.875 (67.977) Epoch: [18][220/11272] Time 0.734 (0.813) Data 0.001 (0.009) Loss 2.7205 (2.5807) Prec@1 30.625 (37.178) Prec@5 67.500 (67.927) Epoch: [18][230/11272] Time 0.730 (0.813) Data 0.002 (0.009) Loss 2.4427 (2.5780) Prec@1 40.000 (37.183) Prec@5 70.000 (67.976) Epoch: [18][240/11272] Time 0.879 (0.813) Data 0.002 (0.009) Loss 2.5317 (2.5821) Prec@1 40.000 (37.114) Prec@5 66.875 (67.907) Epoch: [18][250/11272] Time 0.853 (0.813) Data 0.002 (0.008) Loss 2.5054 (2.5825) Prec@1 36.875 (37.114) Prec@5 69.375 (67.893) Epoch: [18][260/11272] Time 0.778 (0.813) Data 0.001 (0.008) Loss 2.3509 (2.5831) Prec@1 40.625 (37.134) Prec@5 71.875 (67.888) Epoch: [18][270/11272] Time 0.750 (0.813) Data 0.002 (0.008) Loss 2.5356 (2.5832) Prec@1 46.875 (37.145) Prec@5 72.500 (67.943) Epoch: [18][280/11272] Time 0.931 (0.813) Data 0.002 (0.008) Loss 2.8603 (2.5852) Prec@1 31.250 (37.089) Prec@5 63.750 (67.867) Epoch: [18][290/11272] Time 0.865 (0.813) Data 0.002 (0.008) Loss 2.6712 (2.5831) Prec@1 35.625 (37.133) Prec@5 69.375 (67.917) Epoch: [18][300/11272] Time 0.721 (0.812) Data 0.001 (0.007) Loss 2.8087 (2.5839) Prec@1 33.750 (37.122) Prec@5 65.000 (67.951) Epoch: [18][310/11272] Time 0.971 (0.812) Data 0.002 (0.007) Loss 2.7005 (2.5878) Prec@1 33.750 (37.008) Prec@5 64.375 (67.840) Epoch: [18][320/11272] Time 0.886 (0.812) Data 0.002 (0.007) Loss 2.5949 (2.5900) Prec@1 37.500 (36.986) Prec@5 69.375 (67.804) Epoch: [18][330/11272] Time 0.756 (0.812) Data 0.002 (0.007) Loss 2.5351 (2.5892) Prec@1 35.000 (36.990) Prec@5 69.375 (67.832) Epoch: [18][340/11272] Time 0.757 (0.812) Data 0.002 (0.007) Loss 2.5531 (2.5890) Prec@1 40.625 (36.979) Prec@5 70.000 (67.824) Epoch: [18][350/11272] Time 0.858 (0.812) Data 0.001 (0.006) Loss 2.9093 (2.5868) Prec@1 27.500 (37.025) Prec@5 56.875 (67.856) Epoch: [18][360/11272] Time 0.862 (0.811) Data 0.002 (0.006) Loss 2.6167 (2.5863) Prec@1 35.625 (37.055) Prec@5 66.250 (67.860) Epoch: [18][370/11272] Time 0.729 (0.811) Data 0.001 (0.006) Loss 2.6039 (2.5855) Prec@1 36.250 (37.074) Prec@5 65.000 (67.864) Epoch: [18][380/11272] Time 0.740 (0.811) Data 0.001 (0.006) Loss 2.5477 (2.5833) Prec@1 35.625 (37.113) Prec@5 68.750 (67.894) Epoch: [18][390/11272] Time 0.845 (0.811) Data 0.001 (0.006) Loss 2.6335 (2.5844) Prec@1 33.125 (37.139) Prec@5 66.875 (67.845) Epoch: [18][400/11272] Time 0.821 (0.810) Data 0.002 (0.006) Loss 2.5288 (2.5844) Prec@1 36.250 (37.107) Prec@5 70.000 (67.813) Epoch: [18][410/11272] Time 0.719 (0.810) Data 0.001 (0.006) Loss 2.7158 (2.5848) Prec@1 36.250 (37.086) Prec@5 70.000 (67.818) Epoch: [18][420/11272] Time 0.733 (0.810) Data 0.001 (0.006) Loss 2.6719 (2.5844) Prec@1 33.750 (37.113) Prec@5 70.000 (67.846) Epoch: [18][430/11272] Time 0.836 (0.810) Data 0.002 (0.006) Loss 2.6405 (2.5848) Prec@1 31.250 (37.085) Prec@5 68.125 (67.860) Epoch: [18][440/11272] Time 0.868 (0.810) Data 0.002 (0.005) Loss 2.3502 (2.5849) Prec@1 46.250 (37.078) Prec@5 72.500 (67.850) Epoch: [18][450/11272] Time 0.726 (0.809) Data 0.001 (0.005) Loss 2.6451 (2.5854) Prec@1 37.500 (37.086) Prec@5 65.625 (67.848) Epoch: [18][460/11272] Time 0.872 (0.809) Data 0.002 (0.005) Loss 2.8576 (2.5850) Prec@1 33.750 (37.080) Prec@5 61.250 (67.867) Epoch: [18][470/11272] Time 0.889 (0.809) Data 0.002 (0.005) Loss 2.4645 (2.5829) Prec@1 41.875 (37.144) Prec@5 70.000 (67.914) Epoch: [18][480/11272] Time 0.718 (0.808) Data 0.001 (0.005) Loss 2.6886 (2.5837) Prec@1 44.375 (37.174) Prec@5 68.125 (67.885) Epoch: [18][490/11272] Time 0.726 (0.808) Data 0.001 (0.005) Loss 2.5936 (2.5847) Prec@1 38.750 (37.170) Prec@5 64.375 (67.870) Epoch: [18][500/11272] Time 0.913 (0.808) Data 0.002 (0.005) Loss 2.3765 (2.5860) Prec@1 35.000 (37.128) Prec@5 71.250 (67.842) Epoch: [18][510/11272] Time 0.873 (0.808) Data 0.002 (0.005) Loss 2.8527 (2.5867) Prec@1 35.000 (37.109) Prec@5 62.500 (67.830) Epoch: [18][520/11272] Time 0.773 (0.808) Data 0.002 (0.005) Loss 2.5405 (2.5861) Prec@1 41.250 (37.141) Prec@5 66.250 (67.814) Epoch: [18][530/11272] Time 0.757 (0.809) Data 0.001 (0.005) Loss 2.4479 (2.5868) Prec@1 40.625 (37.113) Prec@5 66.875 (67.784) Epoch: [18][540/11272] Time 0.855 (0.809) Data 0.001 (0.005) Loss 2.6220 (2.5873) Prec@1 34.375 (37.068) Prec@5 70.000 (67.773) Epoch: [18][550/11272] Time 0.866 (0.809) Data 0.002 (0.005) Loss 2.6347 (2.5862) Prec@1 36.250 (37.083) Prec@5 68.750 (67.807) Epoch: [18][560/11272] Time 0.726 (0.809) Data 0.001 (0.005) Loss 2.5702 (2.5849) Prec@1 41.250 (37.102) Prec@5 69.375 (67.848) Epoch: [18][570/11272] Time 0.762 (0.809) Data 0.002 (0.005) Loss 2.8475 (2.5857) Prec@1 27.500 (37.079) Prec@5 65.000 (67.834) Epoch: [18][580/11272] Time 0.847 (0.809) Data 0.002 (0.005) Loss 2.7001 (2.5859) Prec@1 38.750 (37.077) Prec@5 68.750 (67.851) Epoch: [18][590/11272] Time 0.740 (0.809) Data 0.001 (0.005) Loss 2.7371 (2.5877) Prec@1 31.875 (37.043) Prec@5 68.750 (67.814) Epoch: [18][600/11272] Time 0.736 (0.809) Data 0.001 (0.004) Loss 2.5152 (2.5881) Prec@1 38.750 (37.034) Prec@5 71.250 (67.812) Epoch: [18][610/11272] Time 0.819 (0.809) Data 0.001 (0.004) Loss 2.7966 (2.5885) Prec@1 31.250 (37.027) Prec@5 67.500 (67.810) Epoch: [18][620/11272] Time 0.897 (0.809) Data 0.002 (0.004) Loss 2.3319 (2.5879) Prec@1 42.500 (37.041) Prec@5 74.375 (67.829) Epoch: [18][630/11272] Time 0.724 (0.808) Data 0.001 (0.004) Loss 2.5953 (2.5883) Prec@1 36.250 (37.044) Prec@5 66.875 (67.807) Epoch: [18][640/11272] Time 0.696 (0.808) Data 0.001 (0.004) Loss 2.9124 (2.5897) Prec@1 26.250 (37.000) Prec@5 61.250 (67.769) Epoch: [18][650/11272] Time 0.883 (0.808) Data 0.002 (0.004) Loss 2.4868 (2.5894) Prec@1 37.500 (36.998) Prec@5 69.375 (67.756) Epoch: [18][660/11272] Time 0.855 (0.808) Data 0.002 (0.004) Loss 2.7029 (2.5896) Prec@1 37.500 (36.981) Prec@5 65.000 (67.759) Epoch: [18][670/11272] Time 0.753 (0.808) Data 0.001 (0.004) Loss 2.6981 (2.5897) Prec@1 40.000 (36.985) Prec@5 66.875 (67.765) Epoch: [18][680/11272] Time 0.736 (0.808) Data 0.001 (0.004) Loss 2.6422 (2.5900) Prec@1 30.625 (36.975) Prec@5 65.625 (67.778) Epoch: [18][690/11272] Time 0.904 (0.808) Data 0.002 (0.004) Loss 2.4957 (2.5905) Prec@1 35.000 (36.984) Prec@5 68.125 (67.760) Epoch: [18][700/11272] Time 0.836 (0.808) Data 0.001 (0.004) Loss 2.7233 (2.5909) Prec@1 36.875 (36.978) Prec@5 64.375 (67.736) Epoch: [18][710/11272] Time 0.743 (0.808) Data 0.001 (0.004) Loss 2.8417 (2.5907) Prec@1 27.500 (36.960) Prec@5 61.250 (67.747) Epoch: [18][720/11272] Time 0.854 (0.808) Data 0.001 (0.004) Loss 2.5177 (2.5910) Prec@1 36.875 (36.944) Prec@5 68.125 (67.747) Epoch: [18][730/11272] Time 0.858 (0.808) Data 0.002 (0.004) Loss 2.7722 (2.5915) Prec@1 34.375 (36.947) Prec@5 68.750 (67.747) Epoch: [18][740/11272] Time 0.757 (0.808) Data 0.001 (0.004) Loss 2.9285 (2.5912) Prec@1 28.750 (36.959) Prec@5 63.125 (67.744) Epoch: [18][750/11272] Time 0.726 (0.808) Data 0.001 (0.004) Loss 2.6999 (2.5915) Prec@1 29.375 (36.952) Prec@5 66.250 (67.750) Epoch: [18][760/11272] Time 0.890 (0.808) Data 0.002 (0.004) Loss 2.4330 (2.5917) Prec@1 41.875 (36.936) Prec@5 70.625 (67.733) Epoch: [18][770/11272] Time 0.867 (0.808) Data 0.001 (0.004) Loss 2.4141 (2.5917) Prec@1 41.875 (36.928) Prec@5 71.250 (67.740) Epoch: [18][780/11272] Time 0.746 (0.808) Data 0.001 (0.004) Loss 2.4197 (2.5918) Prec@1 39.375 (36.918) Prec@5 70.625 (67.730) Epoch: [18][790/11272] Time 0.728 (0.808) Data 0.001 (0.004) Loss 2.8321 (2.5919) Prec@1 31.875 (36.922) Prec@5 65.625 (67.730) Epoch: [18][800/11272] Time 0.873 (0.808) Data 0.002 (0.004) Loss 2.6084 (2.5910) Prec@1 33.125 (36.929) Prec@5 69.375 (67.753) Epoch: [18][810/11272] Time 0.828 (0.808) Data 0.002 (0.004) Loss 2.5374 (2.5900) Prec@1 35.625 (36.929) Prec@5 70.625 (67.770) Epoch: [18][820/11272] Time 0.708 (0.808) Data 0.001 (0.004) Loss 2.4053 (2.5901) Prec@1 40.625 (36.935) Prec@5 72.500 (67.764) Epoch: [18][830/11272] Time 0.723 (0.808) Data 0.002 (0.004) Loss 2.3956 (2.5914) Prec@1 37.500 (36.908) Prec@5 67.500 (67.752) Epoch: [18][840/11272] Time 0.870 (0.808) Data 0.002 (0.004) Loss 2.6209 (2.5917) Prec@1 38.750 (36.920) Prec@5 71.875 (67.748) Epoch: [18][850/11272] Time 0.734 (0.808) Data 0.003 (0.004) Loss 2.7535 (2.5911) Prec@1 35.625 (36.934) Prec@5 65.000 (67.756) Epoch: [18][860/11272] Time 0.745 (0.808) Data 0.001 (0.004) Loss 2.5910 (2.5906) Prec@1 38.125 (36.947) Prec@5 69.375 (67.774) Epoch: [18][870/11272] Time 0.870 (0.808) Data 0.002 (0.004) Loss 2.6927 (2.5909) Prec@1 38.750 (36.958) Prec@5 63.125 (67.764) Epoch: [18][880/11272] Time 0.876 (0.808) Data 0.002 (0.004) Loss 2.8077 (2.5906) Prec@1 33.125 (36.971) Prec@5 62.500 (67.773) Epoch: [18][890/11272] Time 0.731 (0.807) Data 0.001 (0.004) Loss 2.9150 (2.5915) Prec@1 29.375 (36.946) Prec@5 61.875 (67.746) Epoch: [18][900/11272] Time 0.746 (0.807) Data 0.001 (0.004) Loss 2.5829 (2.5928) Prec@1 35.625 (36.917) Prec@5 71.875 (67.722) Epoch: [18][910/11272] Time 0.864 (0.808) Data 0.002 (0.003) Loss 2.6412 (2.5928) Prec@1 33.125 (36.902) Prec@5 66.250 (67.724) Epoch: [18][920/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 2.6932 (2.5928) Prec@1 30.625 (36.894) Prec@5 67.500 (67.733) Epoch: [18][930/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.5587 (2.5930) Prec@1 38.125 (36.894) Prec@5 67.500 (67.734) Epoch: [18][940/11272] Time 0.725 (0.807) Data 0.001 (0.003) Loss 2.6273 (2.5940) Prec@1 37.500 (36.900) Prec@5 65.625 (67.722) Epoch: [18][950/11272] Time 0.922 (0.807) Data 0.002 (0.003) Loss 2.4664 (2.5935) Prec@1 43.750 (36.910) Prec@5 68.750 (67.738) Epoch: [18][960/11272] Time 0.846 (0.807) Data 0.002 (0.003) Loss 2.7241 (2.5937) Prec@1 35.625 (36.904) Prec@5 65.000 (67.735) Epoch: [18][970/11272] Time 0.746 (0.807) Data 0.001 (0.003) Loss 2.4282 (2.5941) Prec@1 43.750 (36.899) Prec@5 68.750 (67.738) Epoch: [18][980/11272] Time 0.834 (0.807) Data 0.002 (0.003) Loss 2.8455 (2.5948) Prec@1 30.625 (36.888) Prec@5 61.875 (67.731) Epoch: [18][990/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 2.7033 (2.5952) Prec@1 35.625 (36.875) Prec@5 66.250 (67.735) Epoch: [18][1000/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.5199 (2.5958) Prec@1 36.875 (36.869) Prec@5 73.750 (67.722) Epoch: [18][1010/11272] Time 0.760 (0.807) Data 0.001 (0.003) Loss 2.4990 (2.5953) Prec@1 40.625 (36.885) Prec@5 66.250 (67.739) Epoch: [18][1020/11272] Time 0.846 (0.807) Data 0.001 (0.003) Loss 2.6076 (2.5951) Prec@1 37.500 (36.874) Prec@5 67.500 (67.750) Epoch: [18][1030/11272] Time 0.884 (0.807) Data 0.002 (0.003) Loss 2.6588 (2.5950) Prec@1 34.375 (36.868) Prec@5 69.375 (67.752) Epoch: [18][1040/11272] Time 0.721 (0.807) Data 0.002 (0.003) Loss 2.6328 (2.5947) Prec@1 38.750 (36.870) Prec@5 65.000 (67.744) Epoch: [18][1050/11272] Time 0.758 (0.807) Data 0.001 (0.003) Loss 2.5639 (2.5948) Prec@1 39.375 (36.872) Prec@5 70.000 (67.735) Epoch: [18][1060/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 2.3562 (2.5943) Prec@1 41.250 (36.875) Prec@5 73.125 (67.739) Epoch: [18][1070/11272] Time 0.875 (0.807) Data 0.002 (0.003) Loss 2.5884 (2.5940) Prec@1 33.750 (36.876) Prec@5 67.500 (67.740) Epoch: [18][1080/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.6599 (2.5939) Prec@1 34.375 (36.877) Prec@5 67.500 (67.745) Epoch: [18][1090/11272] Time 0.734 (0.807) Data 0.002 (0.003) Loss 2.6927 (2.5946) Prec@1 40.625 (36.871) Prec@5 68.125 (67.734) Epoch: [18][1100/11272] Time 0.881 (0.807) Data 0.002 (0.003) Loss 2.7064 (2.5948) Prec@1 34.375 (36.866) Prec@5 68.125 (67.734) Epoch: [18][1110/11272] Time 0.794 (0.807) Data 0.004 (0.003) Loss 2.7306 (2.5956) Prec@1 33.125 (36.843) Prec@5 66.250 (67.718) Epoch: [18][1120/11272] Time 0.736 (0.807) Data 0.002 (0.003) Loss 2.3361 (2.5956) Prec@1 43.125 (36.840) Prec@5 73.750 (67.717) Epoch: [18][1130/11272] Time 0.883 (0.807) Data 0.002 (0.003) Loss 2.5939 (2.5960) Prec@1 35.000 (36.831) Prec@5 64.375 (67.706) Epoch: [18][1140/11272] Time 0.905 (0.807) Data 0.002 (0.003) Loss 2.8798 (2.5961) Prec@1 34.375 (36.833) Prec@5 63.125 (67.701) Epoch: [18][1150/11272] Time 0.708 (0.807) Data 0.001 (0.003) Loss 2.3816 (2.5963) Prec@1 39.375 (36.830) Prec@5 73.750 (67.704) Epoch: [18][1160/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.6368 (2.5955) Prec@1 34.375 (36.849) Prec@5 68.125 (67.708) Epoch: [18][1170/11272] Time 0.920 (0.807) Data 0.002 (0.003) Loss 2.4319 (2.5953) Prec@1 35.625 (36.855) Prec@5 74.375 (67.711) Epoch: [18][1180/11272] Time 0.865 (0.807) Data 0.001 (0.003) Loss 2.5089 (2.5952) Prec@1 35.000 (36.843) Prec@5 71.875 (67.714) Epoch: [18][1190/11272] Time 0.736 (0.807) Data 0.001 (0.003) Loss 2.4187 (2.5944) Prec@1 37.500 (36.850) Prec@5 71.250 (67.727) Epoch: [18][1200/11272] Time 0.736 (0.807) Data 0.001 (0.003) Loss 2.4805 (2.5945) Prec@1 38.750 (36.845) Prec@5 72.500 (67.727) Epoch: [18][1210/11272] Time 0.852 (0.807) Data 0.001 (0.003) Loss 2.4907 (2.5940) Prec@1 36.875 (36.853) Prec@5 71.875 (67.737) Epoch: [18][1220/11272] Time 0.890 (0.807) Data 0.002 (0.003) Loss 2.5825 (2.5942) Prec@1 37.500 (36.859) Prec@5 67.500 (67.734) Epoch: [18][1230/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.4184 (2.5939) Prec@1 40.000 (36.873) Prec@5 68.125 (67.751) Epoch: [18][1240/11272] Time 0.820 (0.807) Data 0.001 (0.003) Loss 2.7823 (2.5947) Prec@1 28.125 (36.848) Prec@5 65.000 (67.737) Epoch: [18][1250/11272] Time 0.881 (0.807) Data 0.002 (0.003) Loss 2.3670 (2.5951) Prec@1 40.000 (36.843) Prec@5 73.750 (67.733) Epoch: [18][1260/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.6833 (2.5953) Prec@1 33.750 (36.844) Prec@5 61.250 (67.730) Epoch: [18][1270/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 2.4266 (2.5952) Prec@1 38.750 (36.844) Prec@5 71.875 (67.727) Epoch: [18][1280/11272] Time 0.853 (0.807) Data 0.002 (0.003) Loss 2.2403 (2.5942) Prec@1 44.375 (36.860) Prec@5 75.000 (67.756) Epoch: [18][1290/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.4460 (2.5948) Prec@1 38.750 (36.853) Prec@5 71.875 (67.743) Epoch: [18][1300/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.4282 (2.5947) Prec@1 45.000 (36.862) Prec@5 71.875 (67.747) Epoch: [18][1310/11272] Time 0.725 (0.807) Data 0.002 (0.003) Loss 2.6096 (2.5950) Prec@1 38.750 (36.844) Prec@5 65.625 (67.746) Epoch: [18][1320/11272] Time 0.847 (0.807) Data 0.002 (0.003) Loss 2.6066 (2.5958) Prec@1 37.500 (36.835) Prec@5 66.875 (67.725) Epoch: [18][1330/11272] Time 0.827 (0.807) Data 0.001 (0.003) Loss 2.7959 (2.5958) Prec@1 35.000 (36.832) Prec@5 60.625 (67.726) Epoch: [18][1340/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.6457 (2.5958) Prec@1 31.875 (36.827) Prec@5 67.500 (67.731) Epoch: [18][1350/11272] Time 0.735 (0.807) Data 0.001 (0.003) Loss 2.5911 (2.5957) Prec@1 35.625 (36.827) Prec@5 71.250 (67.738) Epoch: [18][1360/11272] Time 0.867 (0.807) Data 0.002 (0.003) Loss 2.5761 (2.5956) Prec@1 36.875 (36.832) Prec@5 70.625 (67.740) Epoch: [18][1370/11272] Time 0.846 (0.807) Data 0.002 (0.003) Loss 2.5434 (2.5957) Prec@1 36.875 (36.823) Prec@5 66.250 (67.739) Epoch: [18][1380/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.6460 (2.5958) Prec@1 33.125 (36.826) Prec@5 65.000 (67.740) Epoch: [18][1390/11272] Time 0.858 (0.807) Data 0.001 (0.003) Loss 2.5469 (2.5957) Prec@1 36.875 (36.823) Prec@5 67.500 (67.731) Epoch: [18][1400/11272] Time 0.908 (0.807) Data 0.002 (0.003) Loss 2.8309 (2.5961) Prec@1 35.000 (36.821) Prec@5 63.750 (67.724) Epoch: [18][1410/11272] Time 0.778 (0.807) Data 0.001 (0.003) Loss 2.6856 (2.5960) Prec@1 36.250 (36.833) Prec@5 69.375 (67.723) Epoch: [18][1420/11272] Time 0.727 (0.806) Data 0.001 (0.003) Loss 2.5260 (2.5959) Prec@1 39.375 (36.828) Prec@5 68.125 (67.728) Epoch: [18][1430/11272] Time 0.854 (0.806) Data 0.002 (0.003) Loss 2.8235 (2.5960) Prec@1 30.000 (36.830) Prec@5 65.000 (67.719) Epoch: [18][1440/11272] Time 0.914 (0.806) Data 0.002 (0.003) Loss 2.7279 (2.5956) Prec@1 36.250 (36.837) Prec@5 63.750 (67.729) Epoch: [18][1450/11272] Time 0.725 (0.806) Data 0.001 (0.003) Loss 2.6662 (2.5954) Prec@1 38.125 (36.843) Prec@5 71.250 (67.728) Epoch: [18][1460/11272] Time 0.749 (0.806) Data 0.001 (0.003) Loss 2.5070 (2.5957) Prec@1 36.875 (36.831) Prec@5 66.875 (67.723) Epoch: [18][1470/11272] Time 0.854 (0.806) Data 0.002 (0.003) Loss 2.4813 (2.5960) Prec@1 40.625 (36.836) Prec@5 68.750 (67.713) Epoch: [18][1480/11272] Time 0.877 (0.806) Data 0.002 (0.003) Loss 2.6607 (2.5960) Prec@1 32.500 (36.828) Prec@5 62.500 (67.715) Epoch: [18][1490/11272] Time 0.728 (0.806) Data 0.001 (0.003) Loss 2.5633 (2.5963) Prec@1 40.625 (36.821) Prec@5 68.750 (67.710) Epoch: [18][1500/11272] Time 0.741 (0.806) Data 0.001 (0.003) Loss 2.4017 (2.5960) Prec@1 40.625 (36.831) Prec@5 71.875 (67.713) Epoch: [18][1510/11272] Time 0.863 (0.806) Data 0.002 (0.003) Loss 2.6187 (2.5962) Prec@1 33.750 (36.826) Prec@5 66.875 (67.708) Epoch: [18][1520/11272] Time 0.724 (0.806) Data 0.001 (0.003) Loss 2.5460 (2.5965) Prec@1 36.250 (36.832) Prec@5 68.125 (67.705) Epoch: [18][1530/11272] Time 0.753 (0.806) Data 0.001 (0.003) Loss 2.3470 (2.5965) Prec@1 41.875 (36.835) Prec@5 71.250 (67.704) Epoch: [18][1540/11272] Time 0.870 (0.806) Data 0.002 (0.003) Loss 2.6781 (2.5962) Prec@1 33.125 (36.831) Prec@5 65.000 (67.712) Epoch: [18][1550/11272] Time 0.869 (0.806) Data 0.002 (0.003) Loss 2.6994 (2.5966) Prec@1 35.000 (36.819) Prec@5 65.000 (67.710) Epoch: [18][1560/11272] Time 0.761 (0.806) Data 0.002 (0.003) Loss 2.6575 (2.5967) Prec@1 31.875 (36.821) Prec@5 66.250 (67.701) Epoch: [18][1570/11272] Time 0.753 (0.806) Data 0.001 (0.003) Loss 2.6622 (2.5970) Prec@1 39.375 (36.813) Prec@5 65.000 (67.696) Epoch: [18][1580/11272] Time 0.851 (0.806) Data 0.003 (0.003) Loss 2.5259 (2.5970) Prec@1 37.500 (36.811) Prec@5 69.375 (67.698) Epoch: [18][1590/11272] Time 0.876 (0.806) Data 0.002 (0.003) Loss 2.6696 (2.5973) Prec@1 37.500 (36.804) Prec@5 65.000 (67.688) Epoch: [18][1600/11272] Time 0.738 (0.806) Data 0.001 (0.003) Loss 2.5227 (2.5976) Prec@1 35.625 (36.788) Prec@5 64.375 (67.678) Epoch: [18][1610/11272] Time 0.729 (0.806) Data 0.001 (0.003) Loss 2.4731 (2.5979) Prec@1 40.000 (36.779) Prec@5 68.125 (67.677) Epoch: [18][1620/11272] Time 0.859 (0.806) Data 0.001 (0.003) Loss 2.5523 (2.5978) Prec@1 38.125 (36.777) Prec@5 69.375 (67.678) Epoch: [18][1630/11272] Time 0.842 (0.806) Data 0.002 (0.003) Loss 2.9191 (2.5981) Prec@1 29.375 (36.764) Prec@5 61.250 (67.676) Epoch: [18][1640/11272] Time 0.723 (0.806) Data 0.002 (0.003) Loss 2.8385 (2.5983) Prec@1 31.250 (36.757) Prec@5 61.250 (67.675) Epoch: [18][1650/11272] Time 0.864 (0.806) Data 0.001 (0.003) Loss 2.6086 (2.5983) Prec@1 36.250 (36.758) Prec@5 70.000 (67.681) Epoch: [18][1660/11272] Time 0.851 (0.806) Data 0.003 (0.003) Loss 2.3418 (2.5984) Prec@1 39.375 (36.752) Prec@5 75.625 (67.681) Epoch: [18][1670/11272] Time 0.736 (0.806) Data 0.001 (0.003) Loss 2.5732 (2.5983) Prec@1 38.750 (36.752) Prec@5 62.500 (67.687) Epoch: [18][1680/11272] Time 0.738 (0.806) Data 0.001 (0.003) Loss 2.6233 (2.5984) Prec@1 37.500 (36.761) Prec@5 66.875 (67.688) Epoch: [18][1690/11272] Time 0.879 (0.806) Data 0.002 (0.003) Loss 2.7315 (2.5979) Prec@1 42.500 (36.774) Prec@5 62.500 (67.697) Epoch: [18][1700/11272] Time 0.881 (0.806) Data 0.002 (0.003) Loss 2.4319 (2.5980) Prec@1 36.875 (36.771) Prec@5 75.000 (67.700) Epoch: [18][1710/11272] Time 0.719 (0.806) Data 0.001 (0.003) Loss 2.9209 (2.5980) Prec@1 35.000 (36.771) Prec@5 61.250 (67.703) Epoch: [18][1720/11272] Time 0.760 (0.806) Data 0.002 (0.003) Loss 2.6737 (2.5981) Prec@1 34.375 (36.767) Prec@5 71.875 (67.703) Epoch: [18][1730/11272] Time 0.898 (0.806) Data 0.002 (0.003) Loss 2.7206 (2.5982) Prec@1 30.625 (36.764) Prec@5 66.875 (67.700) Epoch: [18][1740/11272] Time 0.905 (0.806) Data 0.002 (0.003) Loss 2.4822 (2.5984) Prec@1 38.750 (36.766) Prec@5 68.125 (67.693) Epoch: [18][1750/11272] Time 0.728 (0.806) Data 0.001 (0.003) Loss 2.4452 (2.5989) Prec@1 37.500 (36.753) Prec@5 71.875 (67.686) Epoch: [18][1760/11272] Time 0.737 (0.806) Data 0.001 (0.003) Loss 2.5854 (2.5993) Prec@1 38.750 (36.747) Prec@5 71.250 (67.683) Epoch: [18][1770/11272] Time 0.855 (0.806) Data 0.002 (0.003) Loss 2.6141 (2.5999) Prec@1 36.250 (36.739) Prec@5 68.125 (67.680) Epoch: [18][1780/11272] Time 0.763 (0.806) Data 0.004 (0.003) Loss 2.5898 (2.5998) Prec@1 34.375 (36.741) Prec@5 68.750 (67.677) Epoch: [18][1790/11272] Time 0.731 (0.806) Data 0.001 (0.003) Loss 2.5702 (2.5994) Prec@1 43.125 (36.758) Prec@5 68.750 (67.683) Epoch: [18][1800/11272] Time 0.893 (0.806) Data 0.002 (0.003) Loss 2.8489 (2.5998) Prec@1 26.875 (36.747) Prec@5 65.000 (67.683) Epoch: [18][1810/11272] Time 0.844 (0.806) Data 0.002 (0.003) Loss 2.3456 (2.5998) Prec@1 45.625 (36.741) Prec@5 72.500 (67.685) Epoch: [18][1820/11272] Time 0.738 (0.806) Data 0.001 (0.003) Loss 2.5044 (2.5992) Prec@1 36.875 (36.747) Prec@5 68.125 (67.693) Epoch: [18][1830/11272] Time 0.727 (0.806) Data 0.001 (0.003) Loss 2.7124 (2.5995) Prec@1 33.750 (36.743) Prec@5 66.250 (67.691) Epoch: [18][1840/11272] Time 0.916 (0.806) Data 0.002 (0.003) Loss 2.5420 (2.5994) Prec@1 38.125 (36.755) Prec@5 66.875 (67.694) Epoch: [18][1850/11272] Time 0.876 (0.806) Data 0.002 (0.003) Loss 2.4153 (2.5992) Prec@1 40.625 (36.758) Prec@5 74.375 (67.705) Epoch: [18][1860/11272] Time 0.729 (0.806) Data 0.002 (0.003) Loss 2.4535 (2.5993) Prec@1 38.750 (36.756) Prec@5 68.750 (67.707) Epoch: [18][1870/11272] Time 0.720 (0.806) Data 0.001 (0.003) Loss 2.6116 (2.5997) Prec@1 32.500 (36.748) Prec@5 71.875 (67.699) Epoch: [18][1880/11272] Time 0.797 (0.806) Data 0.001 (0.003) Loss 2.5265 (2.6000) Prec@1 41.250 (36.747) Prec@5 66.250 (67.689) Epoch: [18][1890/11272] Time 0.818 (0.806) Data 0.002 (0.003) Loss 2.5312 (2.6001) Prec@1 38.125 (36.747) Prec@5 69.375 (67.686) Epoch: [18][1900/11272] Time 0.734 (0.806) Data 0.001 (0.003) Loss 2.1751 (2.5996) Prec@1 46.875 (36.746) Prec@5 75.625 (67.697) Epoch: [18][1910/11272] Time 0.864 (0.806) Data 0.002 (0.003) Loss 2.5358 (2.5994) Prec@1 33.125 (36.744) Prec@5 71.875 (67.703) Epoch: [18][1920/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.8034 (2.5994) Prec@1 31.875 (36.746) Prec@5 63.750 (67.707) Epoch: [18][1930/11272] Time 0.762 (0.806) Data 0.001 (0.002) Loss 2.8675 (2.5995) Prec@1 27.500 (36.742) Prec@5 59.375 (67.699) Epoch: [18][1940/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.6750 (2.5997) Prec@1 38.750 (36.744) Prec@5 64.375 (67.700) Epoch: [18][1950/11272] Time 0.917 (0.806) Data 0.001 (0.002) Loss 2.5039 (2.6001) Prec@1 35.625 (36.729) Prec@5 71.875 (67.696) Epoch: [18][1960/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.6500 (2.6000) Prec@1 31.875 (36.728) Prec@5 65.625 (67.701) Epoch: [18][1970/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.5374 (2.5998) Prec@1 40.625 (36.733) Prec@5 68.750 (67.704) Epoch: [18][1980/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7592 (2.6000) Prec@1 31.875 (36.732) Prec@5 65.000 (67.696) Epoch: [18][1990/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.2480 (2.5998) Prec@1 39.375 (36.729) Prec@5 75.625 (67.697) Epoch: [18][2000/11272] Time 0.929 (0.806) Data 0.002 (0.002) Loss 2.5364 (2.6002) Prec@1 44.375 (36.732) Prec@5 69.375 (67.686) Epoch: [18][2010/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.5310 (2.6003) Prec@1 40.625 (36.728) Prec@5 72.500 (67.689) Epoch: [18][2020/11272] Time 0.752 (0.806) Data 0.001 (0.002) Loss 2.5159 (2.6001) Prec@1 38.750 (36.731) Prec@5 68.750 (67.694) Epoch: [18][2030/11272] Time 0.842 (0.806) Data 0.002 (0.002) Loss 2.5738 (2.6002) Prec@1 33.750 (36.726) Prec@5 66.875 (67.690) Epoch: [18][2040/11272] Time 0.788 (0.806) Data 0.004 (0.002) Loss 2.3568 (2.6002) Prec@1 36.875 (36.726) Prec@5 73.750 (67.692) Epoch: [18][2050/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7456 (2.6005) Prec@1 33.125 (36.723) Prec@5 67.500 (67.686) Epoch: [18][2060/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.6727 (2.6002) Prec@1 31.875 (36.736) Prec@5 68.750 (67.695) Epoch: [18][2070/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.2555 (2.6000) Prec@1 46.250 (36.744) Prec@5 73.750 (67.694) Epoch: [18][2080/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7649 (2.6003) Prec@1 36.875 (36.740) Prec@5 66.875 (67.695) Epoch: [18][2090/11272] Time 0.725 (0.806) Data 0.002 (0.002) Loss 2.7652 (2.6008) Prec@1 30.625 (36.731) Prec@5 61.875 (67.681) Epoch: [18][2100/11272] Time 0.813 (0.806) Data 0.001 (0.002) Loss 2.6008 (2.6007) Prec@1 36.250 (36.732) Prec@5 69.375 (67.687) Epoch: [18][2110/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.4790 (2.6006) Prec@1 39.375 (36.740) Prec@5 68.125 (67.688) Epoch: [18][2120/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.6030 (2.6006) Prec@1 34.375 (36.735) Prec@5 66.875 (67.687) Epoch: [18][2130/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.5033 (2.6008) Prec@1 36.250 (36.731) Prec@5 71.250 (67.681) Epoch: [18][2140/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.4944 (2.6006) Prec@1 37.500 (36.736) Prec@5 65.625 (67.681) Epoch: [18][2150/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.5514 (2.6005) Prec@1 40.000 (36.742) Prec@5 66.250 (67.691) Epoch: [18][2160/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.4994 (2.6003) Prec@1 40.625 (36.744) Prec@5 67.500 (67.697) Epoch: [18][2170/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.5206 (2.6003) Prec@1 33.125 (36.745) Prec@5 66.875 (67.697) Epoch: [18][2180/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6186 (2.5998) Prec@1 36.875 (36.758) Prec@5 70.000 (67.712) Epoch: [18][2190/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.6600 (2.5997) Prec@1 39.375 (36.758) Prec@5 65.625 (67.714) Epoch: [18][2200/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.5087 (2.5994) Prec@1 40.625 (36.762) Prec@5 68.750 (67.717) Epoch: [18][2210/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.7356 (2.5997) Prec@1 36.250 (36.750) Prec@5 65.000 (67.718) Epoch: [18][2220/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.4513 (2.5994) Prec@1 42.500 (36.751) Prec@5 70.000 (67.727) Epoch: [18][2230/11272] Time 0.781 (0.806) Data 0.002 (0.002) Loss 2.5579 (2.5991) Prec@1 39.375 (36.758) Prec@5 68.125 (67.733) Epoch: [18][2240/11272] Time 0.776 (0.806) Data 0.001 (0.002) Loss 2.4395 (2.5990) Prec@1 36.250 (36.753) Prec@5 70.000 (67.726) Epoch: [18][2250/11272] Time 0.898 (0.806) Data 0.002 (0.002) Loss 2.7567 (2.5988) Prec@1 34.375 (36.758) Prec@5 63.125 (67.729) Epoch: [18][2260/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.4727 (2.5988) Prec@1 40.625 (36.753) Prec@5 66.250 (67.729) Epoch: [18][2270/11272] Time 0.731 (0.806) Data 0.002 (0.002) Loss 2.4522 (2.5987) Prec@1 40.625 (36.754) Prec@5 71.875 (67.730) Epoch: [18][2280/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.5899 (2.5987) Prec@1 33.750 (36.754) Prec@5 70.000 (67.727) Epoch: [18][2290/11272] Time 0.877 (0.806) Data 0.001 (0.002) Loss 2.4541 (2.5983) Prec@1 39.375 (36.763) Prec@5 71.875 (67.734) Epoch: [18][2300/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.7349 (2.5988) Prec@1 33.750 (36.758) Prec@5 66.875 (67.730) Epoch: [18][2310/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.4467 (2.5992) Prec@1 43.750 (36.755) Prec@5 67.500 (67.721) Epoch: [18][2320/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.5264 (2.5993) Prec@1 36.875 (36.751) Prec@5 70.625 (67.724) Epoch: [18][2330/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.5791 (2.5995) Prec@1 36.875 (36.745) Prec@5 73.125 (67.723) Epoch: [18][2340/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.4189 (2.5996) Prec@1 35.625 (36.749) Prec@5 68.125 (67.723) Epoch: [18][2350/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.6485 (2.5995) Prec@1 35.000 (36.743) Prec@5 70.000 (67.724) Epoch: [18][2360/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.4985 (2.5997) Prec@1 38.750 (36.740) Prec@5 70.000 (67.721) Epoch: [18][2370/11272] Time 0.908 (0.806) Data 0.002 (0.002) Loss 2.5098 (2.5997) Prec@1 41.875 (36.744) Prec@5 68.125 (67.720) Epoch: [18][2380/11272] Time 0.743 (0.806) Data 0.002 (0.002) Loss 2.5564 (2.5995) Prec@1 39.375 (36.746) Prec@5 69.375 (67.724) Epoch: [18][2390/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.5939 (2.5996) Prec@1 38.125 (36.740) Prec@5 65.000 (67.721) Epoch: [18][2400/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.6640 (2.5996) Prec@1 33.750 (36.746) Prec@5 66.875 (67.720) Epoch: [18][2410/11272] Time 0.878 (0.806) Data 0.003 (0.002) Loss 2.7603 (2.5996) Prec@1 31.875 (36.752) Prec@5 68.750 (67.723) Epoch: [18][2420/11272] Time 0.790 (0.806) Data 0.001 (0.002) Loss 2.4373 (2.5995) Prec@1 37.500 (36.750) Prec@5 69.375 (67.718) Epoch: [18][2430/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.7216 (2.5994) Prec@1 33.750 (36.755) Prec@5 64.375 (67.717) Epoch: [18][2440/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.5553 (2.5998) Prec@1 40.000 (36.749) Prec@5 65.625 (67.710) Epoch: [18][2450/11272] Time 0.770 (0.806) Data 0.002 (0.002) Loss 2.5027 (2.5995) Prec@1 38.750 (36.751) Prec@5 68.125 (67.711) Epoch: [18][2460/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.8623 (2.5996) Prec@1 36.875 (36.750) Prec@5 58.125 (67.709) Epoch: [18][2470/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.4651 (2.5996) Prec@1 40.000 (36.742) Prec@5 73.125 (67.710) Epoch: [18][2480/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.4568 (2.5995) Prec@1 42.500 (36.754) Prec@5 73.750 (67.709) Epoch: [18][2490/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.6314 (2.5997) Prec@1 31.875 (36.748) Prec@5 67.500 (67.705) Epoch: [18][2500/11272] Time 0.773 (0.806) Data 0.001 (0.002) Loss 3.1193 (2.5997) Prec@1 24.375 (36.751) Prec@5 59.375 (67.702) Epoch: [18][2510/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.4873 (2.5993) Prec@1 38.750 (36.760) Prec@5 68.750 (67.710) Epoch: [18][2520/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.6221 (2.5993) Prec@1 38.750 (36.763) Prec@5 63.750 (67.706) Epoch: [18][2530/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.5050 (2.5994) Prec@1 35.000 (36.757) Prec@5 72.500 (67.702) Epoch: [18][2540/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.6079 (2.5994) Prec@1 34.375 (36.755) Prec@5 70.000 (67.700) Epoch: [18][2550/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.6193 (2.5995) Prec@1 40.000 (36.756) Prec@5 63.750 (67.697) Epoch: [18][2560/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.6551 (2.5996) Prec@1 38.750 (36.759) Prec@5 65.625 (67.699) Epoch: [18][2570/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.8926 (2.5996) Prec@1 29.375 (36.762) Prec@5 61.875 (67.699) Epoch: [18][2580/11272] Time 0.889 (0.807) Data 0.001 (0.002) Loss 2.4658 (2.5997) Prec@1 36.875 (36.760) Prec@5 75.000 (67.699) Epoch: [18][2590/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.6673 (2.6000) Prec@1 33.125 (36.751) Prec@5 65.000 (67.692) Epoch: [18][2600/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5262 (2.6002) Prec@1 41.875 (36.751) Prec@5 67.500 (67.685) Epoch: [18][2610/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.5106 (2.6002) Prec@1 36.875 (36.749) Prec@5 70.625 (67.684) Epoch: [18][2620/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.4301 (2.6000) Prec@1 37.500 (36.755) Prec@5 73.750 (67.691) Epoch: [18][2630/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.7116 (2.6001) Prec@1 34.375 (36.751) Prec@5 69.375 (67.687) Epoch: [18][2640/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.5324 (2.6000) Prec@1 39.375 (36.753) Prec@5 68.125 (67.689) Epoch: [18][2650/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.4043 (2.5999) Prec@1 40.000 (36.753) Prec@5 73.125 (67.688) Epoch: [18][2660/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.8388 (2.6002) Prec@1 37.500 (36.750) Prec@5 65.000 (67.681) Epoch: [18][2670/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.7526 (2.6004) Prec@1 30.625 (36.740) Prec@5 66.875 (67.682) Epoch: [18][2680/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.6553 (2.6000) Prec@1 33.125 (36.744) Prec@5 68.125 (67.690) Epoch: [18][2690/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6099 (2.6001) Prec@1 37.500 (36.748) Prec@5 66.250 (67.690) Epoch: [18][2700/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.7215 (2.6003) Prec@1 38.125 (36.747) Prec@5 66.875 (67.687) Epoch: [18][2710/11272] Time 0.807 (0.807) Data 0.004 (0.002) Loss 2.4836 (2.6002) Prec@1 38.750 (36.753) Prec@5 68.125 (67.688) Epoch: [18][2720/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.4624 (2.6001) Prec@1 36.250 (36.748) Prec@5 75.625 (67.690) Epoch: [18][2730/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.6691 (2.6004) Prec@1 40.625 (36.743) Prec@5 66.875 (67.687) Epoch: [18][2740/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5232 (2.6003) Prec@1 40.000 (36.745) Prec@5 68.125 (67.685) Epoch: [18][2750/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.5764 (2.6003) Prec@1 38.125 (36.744) Prec@5 68.750 (67.689) Epoch: [18][2760/11272] Time 0.760 (0.807) Data 0.001 (0.002) Loss 2.7070 (2.6005) Prec@1 38.125 (36.742) Prec@5 65.625 (67.684) Epoch: [18][2770/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.7830 (2.6003) Prec@1 33.750 (36.746) Prec@5 65.000 (67.687) Epoch: [18][2780/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.8728 (2.6003) Prec@1 28.125 (36.743) Prec@5 66.250 (67.687) Epoch: [18][2790/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5040 (2.6003) Prec@1 40.000 (36.746) Prec@5 69.375 (67.686) Epoch: [18][2800/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.7533 (2.6004) Prec@1 33.125 (36.745) Prec@5 68.750 (67.683) Epoch: [18][2810/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.4668 (2.6002) Prec@1 41.875 (36.749) Prec@5 70.000 (67.688) Epoch: [18][2820/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.8004 (2.6004) Prec@1 38.125 (36.747) Prec@5 69.375 (67.688) Epoch: [18][2830/11272] Time 0.775 (0.807) Data 0.001 (0.002) Loss 2.7321 (2.6004) Prec@1 34.375 (36.749) Prec@5 65.625 (67.686) Epoch: [18][2840/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.3602 (2.6003) Prec@1 41.250 (36.756) Prec@5 73.750 (67.687) Epoch: [18][2850/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.6755 (2.6003) Prec@1 33.125 (36.757) Prec@5 64.375 (67.688) Epoch: [18][2860/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.7689 (2.6001) Prec@1 34.375 (36.760) Prec@5 61.875 (67.690) Epoch: [18][2870/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.8875 (2.6005) Prec@1 31.875 (36.759) Prec@5 58.750 (67.679) Epoch: [18][2880/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.6581 (2.6004) Prec@1 33.750 (36.762) Prec@5 70.625 (67.679) Epoch: [18][2890/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.7101 (2.6005) Prec@1 31.250 (36.758) Prec@5 65.625 (67.677) Epoch: [18][2900/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4331 (2.6007) Prec@1 41.250 (36.752) Prec@5 66.875 (67.671) Epoch: [18][2910/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.8178 (2.6008) Prec@1 30.625 (36.749) Prec@5 62.500 (67.671) Epoch: [18][2920/11272] Time 0.855 (0.807) Data 0.001 (0.002) Loss 2.4203 (2.6006) Prec@1 41.875 (36.756) Prec@5 68.750 (67.674) Epoch: [18][2930/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.5636 (2.6006) Prec@1 38.750 (36.753) Prec@5 68.125 (67.673) Epoch: [18][2940/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5830 (2.6006) Prec@1 38.125 (36.757) Prec@5 66.250 (67.670) Epoch: [18][2950/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.2761 (2.6004) Prec@1 41.875 (36.764) Prec@5 70.625 (67.676) Epoch: [18][2960/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5573 (2.6003) Prec@1 35.000 (36.762) Prec@5 68.750 (67.677) Epoch: [18][2970/11272] Time 0.754 (0.807) Data 0.003 (0.002) Loss 2.4067 (2.6002) Prec@1 36.875 (36.763) Prec@5 73.125 (67.679) Epoch: [18][2980/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5154 (2.6002) Prec@1 41.875 (36.759) Prec@5 66.250 (67.680) Epoch: [18][2990/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.7687 (2.6003) Prec@1 36.250 (36.759) Prec@5 67.500 (67.680) Epoch: [18][3000/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.8420 (2.6004) Prec@1 34.375 (36.751) Prec@5 68.125 (67.681) Epoch: [18][3010/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7159 (2.6004) Prec@1 33.750 (36.749) Prec@5 60.625 (67.677) Epoch: [18][3020/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.7046 (2.6006) Prec@1 36.250 (36.749) Prec@5 65.625 (67.675) Epoch: [18][3030/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.4570 (2.6006) Prec@1 35.625 (36.748) Prec@5 71.250 (67.673) Epoch: [18][3040/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.6452 (2.6003) Prec@1 33.125 (36.752) Prec@5 68.125 (67.680) Epoch: [18][3050/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6936 (2.6002) Prec@1 34.375 (36.756) Prec@5 67.500 (67.678) Epoch: [18][3060/11272] Time 0.709 (0.807) Data 0.001 (0.002) Loss 2.7412 (2.6003) Prec@1 35.625 (36.752) Prec@5 66.250 (67.680) Epoch: [18][3070/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.8446 (2.6003) Prec@1 32.500 (36.755) Prec@5 64.375 (67.678) Epoch: [18][3080/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.6805 (2.6000) Prec@1 32.500 (36.757) Prec@5 66.875 (67.685) Epoch: [18][3090/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.7874 (2.5999) Prec@1 35.625 (36.760) Prec@5 65.625 (67.686) Epoch: [18][3100/11272] Time 0.830 (0.807) Data 0.001 (0.002) Loss 2.7506 (2.6000) Prec@1 36.875 (36.761) Prec@5 65.000 (67.684) Epoch: [18][3110/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.7764 (2.6001) Prec@1 40.000 (36.767) Prec@5 63.750 (67.683) Epoch: [18][3120/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.8525 (2.6002) Prec@1 33.750 (36.768) Prec@5 63.125 (67.682) Epoch: [18][3130/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.4141 (2.6001) Prec@1 36.250 (36.766) Prec@5 72.500 (67.685) Epoch: [18][3140/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.8422 (2.6003) Prec@1 36.250 (36.766) Prec@5 59.375 (67.684) Epoch: [18][3150/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.8495 (2.6006) Prec@1 31.250 (36.760) Prec@5 61.250 (67.678) Epoch: [18][3160/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.7490 (2.6006) Prec@1 33.125 (36.760) Prec@5 63.125 (67.671) Epoch: [18][3170/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.4940 (2.6005) Prec@1 35.625 (36.762) Prec@5 70.000 (67.674) Epoch: [18][3180/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.7394 (2.6005) Prec@1 34.375 (36.761) Prec@5 64.375 (67.671) Epoch: [18][3190/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.7253 (2.6005) Prec@1 38.125 (36.766) Prec@5 62.500 (67.670) Epoch: [18][3200/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.4646 (2.6004) Prec@1 37.500 (36.767) Prec@5 73.125 (67.674) Epoch: [18][3210/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6704 (2.6004) Prec@1 38.125 (36.769) Prec@5 65.625 (67.673) Epoch: [18][3220/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.7539 (2.6006) Prec@1 35.000 (36.762) Prec@5 61.875 (67.666) Epoch: [18][3230/11272] Time 0.823 (0.807) Data 0.001 (0.002) Loss 2.5338 (2.6007) Prec@1 41.875 (36.762) Prec@5 66.250 (67.663) Epoch: [18][3240/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.4704 (2.6008) Prec@1 38.125 (36.757) Prec@5 71.250 (67.662) Epoch: [18][3250/11272] Time 0.906 (0.807) Data 0.001 (0.002) Loss 2.5448 (2.6009) Prec@1 38.750 (36.754) Prec@5 65.000 (67.658) Epoch: [18][3260/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.7796 (2.6010) Prec@1 32.500 (36.754) Prec@5 62.500 (67.657) Epoch: [18][3270/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.5160 (2.6008) Prec@1 37.500 (36.755) Prec@5 71.875 (67.660) Epoch: [18][3280/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.5614 (2.6009) Prec@1 33.750 (36.755) Prec@5 67.500 (67.658) Epoch: [18][3290/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.6110 (2.6011) Prec@1 38.125 (36.750) Prec@5 65.000 (67.649) Epoch: [18][3300/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.7204 (2.6010) Prec@1 36.250 (36.756) Prec@5 62.500 (67.651) Epoch: [18][3310/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6879 (2.6012) Prec@1 37.500 (36.752) Prec@5 65.625 (67.647) Epoch: [18][3320/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.5881 (2.6013) Prec@1 38.125 (36.751) Prec@5 68.750 (67.645) Epoch: [18][3330/11272] Time 0.926 (0.807) Data 0.002 (0.002) Loss 2.5745 (2.6016) Prec@1 40.000 (36.747) Prec@5 66.250 (67.640) Epoch: [18][3340/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.6688 (2.6017) Prec@1 33.125 (36.744) Prec@5 63.125 (67.638) Epoch: [18][3350/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.5272 (2.6015) Prec@1 38.125 (36.744) Prec@5 66.875 (67.643) Epoch: [18][3360/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.5387 (2.6014) Prec@1 40.000 (36.745) Prec@5 69.375 (67.646) Epoch: [18][3370/11272] Time 0.911 (0.807) Data 0.002 (0.002) Loss 2.6219 (2.6017) Prec@1 39.375 (36.743) Prec@5 70.625 (67.641) Epoch: [18][3380/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.7647 (2.6017) Prec@1 34.375 (36.746) Prec@5 64.375 (67.639) Epoch: [18][3390/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7409 (2.6015) Prec@1 34.375 (36.750) Prec@5 63.750 (67.637) Epoch: [18][3400/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.7117 (2.6018) Prec@1 33.750 (36.746) Prec@5 68.125 (67.630) Epoch: [18][3410/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.5138 (2.6017) Prec@1 36.250 (36.746) Prec@5 65.000 (67.631) Epoch: [18][3420/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.5587 (2.6016) Prec@1 34.375 (36.745) Prec@5 71.250 (67.631) Epoch: [18][3430/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5649 (2.6017) Prec@1 37.500 (36.743) Prec@5 73.125 (67.628) Epoch: [18][3440/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 2.7549 (2.6017) Prec@1 31.250 (36.743) Prec@5 63.750 (67.631) Epoch: [18][3450/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 2.6470 (2.6017) Prec@1 41.875 (36.749) Prec@5 65.000 (67.629) Epoch: [18][3460/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.5922 (2.6019) Prec@1 33.750 (36.744) Prec@5 68.125 (67.625) Epoch: [18][3470/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.7517 (2.6018) Prec@1 36.875 (36.749) Prec@5 63.125 (67.622) Epoch: [18][3480/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.5725 (2.6019) Prec@1 39.375 (36.745) Prec@5 67.500 (67.617) Epoch: [18][3490/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.4916 (2.6018) Prec@1 38.750 (36.747) Prec@5 72.500 (67.617) Epoch: [18][3500/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 2.6989 (2.6019) Prec@1 31.875 (36.747) Prec@5 68.125 (67.615) Epoch: [18][3510/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.5083 (2.6021) Prec@1 36.875 (36.743) Prec@5 70.000 (67.611) Epoch: [18][3520/11272] Time 0.921 (0.807) Data 0.002 (0.002) Loss 2.2964 (2.6021) Prec@1 45.000 (36.740) Prec@5 73.125 (67.615) Epoch: [18][3530/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.8279 (2.6021) Prec@1 30.000 (36.740) Prec@5 61.875 (67.613) Epoch: [18][3540/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6591 (2.6022) Prec@1 35.000 (36.737) Prec@5 63.750 (67.607) Epoch: [18][3550/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.4508 (2.6022) Prec@1 36.875 (36.734) Prec@5 71.250 (67.608) Epoch: [18][3560/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6129 (2.6022) Prec@1 41.875 (36.736) Prec@5 70.625 (67.611) Epoch: [18][3570/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.3881 (2.6021) Prec@1 35.000 (36.738) Prec@5 72.500 (67.613) Epoch: [18][3580/11272] Time 0.712 (0.807) Data 0.001 (0.002) Loss 2.5581 (2.6018) Prec@1 39.375 (36.744) Prec@5 65.000 (67.617) Epoch: [18][3590/11272] Time 0.924 (0.807) Data 0.002 (0.002) Loss 2.4745 (2.6015) Prec@1 37.500 (36.747) Prec@5 65.000 (67.620) Epoch: [18][3600/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.5140 (2.6016) Prec@1 41.875 (36.748) Prec@5 65.625 (67.620) Epoch: [18][3610/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.3623 (2.6015) Prec@1 44.375 (36.751) Prec@5 74.375 (67.623) Epoch: [18][3620/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.9586 (2.6016) Prec@1 30.000 (36.743) Prec@5 61.250 (67.620) Epoch: [18][3630/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.7215 (2.6018) Prec@1 35.625 (36.742) Prec@5 64.375 (67.617) Epoch: [18][3640/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 2.6947 (2.6019) Prec@1 34.375 (36.740) Prec@5 65.625 (67.613) Epoch: [18][3650/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.8970 (2.6021) Prec@1 29.375 (36.735) Prec@5 59.375 (67.606) Epoch: [18][3660/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.5001 (2.6022) Prec@1 36.875 (36.735) Prec@5 67.500 (67.604) Epoch: [18][3670/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.7769 (2.6024) Prec@1 39.375 (36.734) Prec@5 68.125 (67.598) Epoch: [18][3680/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.5183 (2.6022) Prec@1 33.750 (36.739) Prec@5 68.125 (67.600) Epoch: [18][3690/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6417 (2.6023) Prec@1 40.000 (36.734) Prec@5 65.625 (67.597) Epoch: [18][3700/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.7794 (2.6024) Prec@1 30.625 (36.732) Prec@5 68.125 (67.599) Epoch: [18][3710/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.7167 (2.6024) Prec@1 34.375 (36.731) Prec@5 62.500 (67.596) Epoch: [18][3720/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.3842 (2.6025) Prec@1 35.625 (36.726) Prec@5 70.625 (67.597) Epoch: [18][3730/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6217 (2.6025) Prec@1 35.000 (36.723) Prec@5 68.125 (67.598) Epoch: [18][3740/11272] Time 0.909 (0.807) Data 0.002 (0.002) Loss 2.5115 (2.6027) Prec@1 36.875 (36.720) Prec@5 69.375 (67.596) Epoch: [18][3750/11272] Time 0.835 (0.807) Data 0.001 (0.002) Loss 2.5408 (2.6026) Prec@1 38.750 (36.723) Prec@5 68.750 (67.597) Epoch: [18][3760/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.5665 (2.6024) Prec@1 35.625 (36.726) Prec@5 71.250 (67.603) Epoch: [18][3770/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.6051 (2.6026) Prec@1 40.000 (36.726) Prec@5 68.125 (67.602) Epoch: [18][3780/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.6789 (2.6026) Prec@1 31.875 (36.725) Prec@5 67.500 (67.606) Epoch: [18][3790/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.8556 (2.6025) Prec@1 30.000 (36.724) Prec@5 63.750 (67.608) Epoch: [18][3800/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6770 (2.6024) Prec@1 34.375 (36.726) Prec@5 69.375 (67.612) Epoch: [18][3810/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 3.1136 (2.6024) Prec@1 29.375 (36.728) Prec@5 60.625 (67.611) Epoch: [18][3820/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.5817 (2.6024) Prec@1 36.250 (36.728) Prec@5 69.375 (67.606) Epoch: [18][3830/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.4649 (2.6024) Prec@1 43.125 (36.731) Prec@5 69.375 (67.607) Epoch: [18][3840/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.7664 (2.6022) Prec@1 38.125 (36.737) Prec@5 67.500 (67.612) Epoch: [18][3850/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.7841 (2.6025) Prec@1 32.500 (36.729) Prec@5 64.375 (67.609) Epoch: [18][3860/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.4765 (2.6026) Prec@1 41.250 (36.730) Prec@5 68.125 (67.606) Epoch: [18][3870/11272] Time 0.709 (0.807) Data 0.001 (0.002) Loss 2.6644 (2.6025) Prec@1 32.500 (36.727) Prec@5 67.500 (67.610) Epoch: [18][3880/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.6054 (2.6024) Prec@1 35.625 (36.728) Prec@5 66.875 (67.613) Epoch: [18][3890/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.9378 (2.6026) Prec@1 29.375 (36.723) Prec@5 64.375 (67.610) Epoch: [18][3900/11272] Time 0.784 (0.807) Data 0.003 (0.002) Loss 2.6114 (2.6024) Prec@1 36.250 (36.725) Prec@5 71.875 (67.615) Epoch: [18][3910/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5936 (2.6023) Prec@1 34.375 (36.726) Prec@5 67.500 (67.619) Epoch: [18][3920/11272] Time 0.823 (0.807) Data 0.001 (0.002) Loss 2.4575 (2.6022) Prec@1 38.125 (36.723) Prec@5 68.750 (67.618) Epoch: [18][3930/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.7235 (2.6021) Prec@1 40.000 (36.728) Prec@5 67.500 (67.623) Epoch: [18][3940/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5992 (2.6021) Prec@1 36.875 (36.730) Prec@5 66.875 (67.623) Epoch: [18][3950/11272] Time 0.794 (0.807) Data 0.001 (0.002) Loss 2.6645 (2.6022) Prec@1 31.875 (36.727) Prec@5 68.750 (67.621) Epoch: [18][3960/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.5741 (2.6022) Prec@1 35.625 (36.724) Prec@5 63.750 (67.618) Epoch: [18][3970/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.5085 (2.6021) Prec@1 35.000 (36.729) Prec@5 69.375 (67.620) Epoch: [18][3980/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 2.6373 (2.6018) Prec@1 35.625 (36.732) Prec@5 66.250 (67.627) Epoch: [18][3990/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.9767 (2.6018) Prec@1 31.250 (36.733) Prec@5 58.750 (67.628) Epoch: [18][4000/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.8993 (2.6020) Prec@1 32.500 (36.732) Prec@5 60.625 (67.625) Epoch: [18][4010/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.5113 (2.6020) Prec@1 37.500 (36.733) Prec@5 73.125 (67.626) Epoch: [18][4020/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7147 (2.6020) Prec@1 31.250 (36.733) Prec@5 66.875 (67.626) Epoch: [18][4030/11272] Time 0.829 (0.807) Data 0.002 (0.002) Loss 2.4280 (2.6019) Prec@1 35.625 (36.732) Prec@5 72.500 (67.629) Epoch: [18][4040/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.7878 (2.6020) Prec@1 36.250 (36.729) Prec@5 64.375 (67.627) Epoch: [18][4050/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.8232 (2.6022) Prec@1 30.625 (36.728) Prec@5 61.250 (67.626) Epoch: [18][4060/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5272 (2.6022) Prec@1 44.375 (36.728) Prec@5 66.250 (67.623) Epoch: [18][4070/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.4462 (2.6022) Prec@1 38.125 (36.730) Prec@5 68.750 (67.621) Epoch: [18][4080/11272] Time 0.959 (0.807) Data 0.002 (0.002) Loss 2.6096 (2.6022) Prec@1 35.000 (36.728) Prec@5 67.500 (67.619) Epoch: [18][4090/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.5285 (2.6022) Prec@1 36.875 (36.727) Prec@5 68.125 (67.619) Epoch: [18][4100/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.7006 (2.6022) Prec@1 33.750 (36.724) Prec@5 63.125 (67.621) Epoch: [18][4110/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6025 (2.6022) Prec@1 38.125 (36.723) Prec@5 71.875 (67.621) Epoch: [18][4120/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.6148 (2.6023) Prec@1 34.375 (36.722) Prec@5 70.000 (67.619) Epoch: [18][4130/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.8886 (2.6024) Prec@1 30.000 (36.717) Prec@5 58.750 (67.615) Epoch: [18][4140/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4348 (2.6024) Prec@1 45.000 (36.717) Prec@5 69.375 (67.613) Epoch: [18][4150/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.4181 (2.6023) Prec@1 36.875 (36.720) Prec@5 75.625 (67.613) Epoch: [18][4160/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.5215 (2.6025) Prec@1 38.750 (36.719) Prec@5 70.625 (67.611) Epoch: [18][4170/11272] Time 0.720 (0.807) Data 0.001 (0.002) Loss 2.5319 (2.6023) Prec@1 38.750 (36.721) Prec@5 69.375 (67.611) Epoch: [18][4180/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.4858 (2.6024) Prec@1 33.750 (36.724) Prec@5 70.000 (67.610) Epoch: [18][4190/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.5297 (2.6024) Prec@1 35.000 (36.722) Prec@5 65.625 (67.609) Epoch: [18][4200/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.6880 (2.6025) Prec@1 32.500 (36.721) Prec@5 63.125 (67.606) Epoch: [18][4210/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.6817 (2.6025) Prec@1 33.125 (36.720) Prec@5 66.250 (67.605) Epoch: [18][4220/11272] Time 0.856 (0.807) Data 0.001 (0.002) Loss 2.9208 (2.6027) Prec@1 26.250 (36.714) Prec@5 60.000 (67.601) Epoch: [18][4230/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5145 (2.6028) Prec@1 40.000 (36.711) Prec@5 68.750 (67.598) Epoch: [18][4240/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.8045 (2.6029) Prec@1 31.250 (36.705) Prec@5 63.750 (67.597) Epoch: [18][4250/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5690 (2.6030) Prec@1 35.000 (36.703) Prec@5 71.250 (67.595) Epoch: [18][4260/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.5106 (2.6029) Prec@1 38.750 (36.711) Prec@5 68.750 (67.598) Epoch: [18][4270/11272] Time 0.906 (0.807) Data 0.004 (0.002) Loss 2.7181 (2.6027) Prec@1 41.250 (36.719) Prec@5 61.250 (67.601) Epoch: [18][4280/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3332 (2.6027) Prec@1 40.000 (36.718) Prec@5 73.125 (67.599) Epoch: [18][4290/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.7242 (2.6029) Prec@1 38.125 (36.721) Prec@5 65.000 (67.593) Epoch: [18][4300/11272] Time 0.920 (0.807) Data 0.002 (0.002) Loss 2.9227 (2.6027) Prec@1 33.750 (36.727) Prec@5 60.625 (67.597) Epoch: [18][4310/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.4497 (2.6026) Prec@1 36.875 (36.727) Prec@5 71.250 (67.599) Epoch: [18][4320/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.9282 (2.6026) Prec@1 28.750 (36.728) Prec@5 64.375 (67.599) Epoch: [18][4330/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.9444 (2.6028) Prec@1 30.625 (36.723) Prec@5 58.125 (67.595) Epoch: [18][4340/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.5762 (2.6030) Prec@1 33.125 (36.717) Prec@5 69.375 (67.592) Epoch: [18][4350/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.6536 (2.6031) Prec@1 36.875 (36.717) Prec@5 63.750 (67.588) Epoch: [18][4360/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.5587 (2.6030) Prec@1 40.625 (36.721) Prec@5 66.250 (67.587) Epoch: [18][4370/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.7410 (2.6031) Prec@1 30.000 (36.721) Prec@5 62.500 (67.586) Epoch: [18][4380/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.6702 (2.6032) Prec@1 33.750 (36.719) Prec@5 66.875 (67.584) Epoch: [18][4390/11272] Time 0.753 (0.807) Data 0.003 (0.002) Loss 2.6728 (2.6032) Prec@1 31.250 (36.720) Prec@5 65.000 (67.584) Epoch: [18][4400/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.4030 (2.6032) Prec@1 37.500 (36.717) Prec@5 73.125 (67.583) Epoch: [18][4410/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.5692 (2.6033) Prec@1 39.375 (36.717) Prec@5 72.500 (67.581) Epoch: [18][4420/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.7530 (2.6032) Prec@1 38.125 (36.717) Prec@5 65.625 (67.582) Epoch: [18][4430/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6859 (2.6032) Prec@1 33.750 (36.718) Prec@5 66.250 (67.583) Epoch: [18][4440/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.7197 (2.6032) Prec@1 33.750 (36.720) Prec@5 61.250 (67.581) Epoch: [18][4450/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.5603 (2.6032) Prec@1 35.625 (36.719) Prec@5 68.125 (67.582) Epoch: [18][4460/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5640 (2.6031) Prec@1 36.250 (36.718) Prec@5 69.375 (67.582) Epoch: [18][4470/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.8827 (2.6033) Prec@1 33.750 (36.715) Prec@5 60.625 (67.577) Epoch: [18][4480/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.4520 (2.6034) Prec@1 37.500 (36.717) Prec@5 70.000 (67.574) Epoch: [18][4490/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.7158 (2.6035) Prec@1 33.125 (36.716) Prec@5 58.750 (67.568) Epoch: [18][4500/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.8388 (2.6036) Prec@1 31.250 (36.713) Prec@5 63.750 (67.568) Epoch: [18][4510/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.6241 (2.6034) Prec@1 39.375 (36.718) Prec@5 66.250 (67.572) Epoch: [18][4520/11272] Time 0.827 (0.807) Data 0.002 (0.002) Loss 2.4522 (2.6035) Prec@1 38.750 (36.716) Prec@5 69.375 (67.569) Epoch: [18][4530/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.5320 (2.6035) Prec@1 38.750 (36.719) Prec@5 66.875 (67.567) Epoch: [18][4540/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.3994 (2.6033) Prec@1 42.500 (36.724) Prec@5 73.750 (67.570) Epoch: [18][4550/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.6177 (2.6033) Prec@1 36.875 (36.722) Prec@5 68.750 (67.573) Epoch: [18][4560/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.8437 (2.6033) Prec@1 29.375 (36.721) Prec@5 68.125 (67.576) Epoch: [18][4570/11272] Time 0.789 (0.807) Data 0.004 (0.002) Loss 2.8349 (2.6033) Prec@1 33.125 (36.721) Prec@5 65.625 (67.574) Epoch: [18][4580/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.8013 (2.6034) Prec@1 32.500 (36.719) Prec@5 67.500 (67.574) Epoch: [18][4590/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.6726 (2.6034) Prec@1 34.375 (36.720) Prec@5 66.875 (67.575) Epoch: [18][4600/11272] Time 0.835 (0.807) Data 0.002 (0.002) Loss 2.4069 (2.6033) Prec@1 34.375 (36.719) Prec@5 75.000 (67.577) Epoch: [18][4610/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.5018 (2.6033) Prec@1 38.750 (36.720) Prec@5 68.750 (67.578) Epoch: [18][4620/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.7246 (2.6031) Prec@1 35.000 (36.725) Prec@5 64.375 (67.581) Epoch: [18][4630/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.5692 (2.6030) Prec@1 36.875 (36.727) Prec@5 68.125 (67.583) Epoch: [18][4640/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.5018 (2.6031) Prec@1 43.125 (36.729) Prec@5 67.500 (67.581) Epoch: [18][4650/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3894 (2.6029) Prec@1 41.250 (36.733) Prec@5 69.375 (67.581) Epoch: [18][4660/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.4916 (2.6029) Prec@1 39.375 (36.734) Prec@5 69.375 (67.582) Epoch: [18][4670/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.4856 (2.6029) Prec@1 28.750 (36.732) Prec@5 69.375 (67.581) Epoch: [18][4680/11272] Time 0.911 (0.807) Data 0.002 (0.002) Loss 2.7403 (2.6030) Prec@1 33.750 (36.731) Prec@5 65.000 (67.579) Epoch: [18][4690/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.4716 (2.6028) Prec@1 38.750 (36.731) Prec@5 71.250 (67.584) Epoch: [18][4700/11272] Time 0.920 (0.807) Data 0.001 (0.002) Loss 2.9389 (2.6029) Prec@1 33.750 (36.731) Prec@5 61.875 (67.580) Epoch: [18][4710/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.3964 (2.6028) Prec@1 40.000 (36.733) Prec@5 68.750 (67.583) Epoch: [18][4720/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.6511 (2.6028) Prec@1 36.875 (36.739) Prec@5 65.625 (67.585) Epoch: [18][4730/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.6367 (2.6026) Prec@1 39.375 (36.742) Prec@5 68.750 (67.587) Epoch: [18][4740/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.7367 (2.6026) Prec@1 38.125 (36.743) Prec@5 69.375 (67.587) Epoch: [18][4750/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.5005 (2.6026) Prec@1 40.625 (36.746) Prec@5 69.375 (67.588) Epoch: [18][4760/11272] Time 0.760 (0.807) Data 0.001 (0.002) Loss 3.0318 (2.6029) Prec@1 28.750 (36.737) Prec@5 59.375 (67.582) Epoch: [18][4770/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5492 (2.6028) Prec@1 36.875 (36.740) Prec@5 66.875 (67.584) Epoch: [18][4780/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6832 (2.6028) Prec@1 37.500 (36.736) Prec@5 64.375 (67.583) Epoch: [18][4790/11272] Time 0.881 (0.807) Data 0.001 (0.002) Loss 2.2197 (2.6027) Prec@1 45.000 (36.736) Prec@5 75.000 (67.584) Epoch: [18][4800/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6466 (2.6026) Prec@1 35.000 (36.735) Prec@5 66.250 (67.585) Epoch: [18][4810/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.4009 (2.6026) Prec@1 43.750 (36.736) Prec@5 72.500 (67.586) Epoch: [18][4820/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.7660 (2.6028) Prec@1 38.125 (36.735) Prec@5 65.000 (67.583) Epoch: [18][4830/11272] Time 0.738 (0.807) Data 0.004 (0.002) Loss 2.4297 (2.6025) Prec@1 40.000 (36.741) Prec@5 71.875 (67.587) Epoch: [18][4840/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.5961 (2.6026) Prec@1 39.375 (36.738) Prec@5 67.500 (67.587) Epoch: [18][4850/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.5869 (2.6027) Prec@1 39.375 (36.735) Prec@5 66.250 (67.587) Epoch: [18][4860/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.8381 (2.6028) Prec@1 31.875 (36.732) Prec@5 61.250 (67.587) Epoch: [18][4870/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6476 (2.6028) Prec@1 39.375 (36.732) Prec@5 63.750 (67.587) Epoch: [18][4880/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.5664 (2.6026) Prec@1 40.000 (36.734) Prec@5 67.500 (67.590) Epoch: [18][4890/11272] Time 0.925 (0.807) Data 0.002 (0.002) Loss 2.5280 (2.6025) Prec@1 31.875 (36.736) Prec@5 70.000 (67.592) Epoch: [18][4900/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.3649 (2.6025) Prec@1 46.875 (36.738) Prec@5 73.750 (67.590) Epoch: [18][4910/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7926 (2.6026) Prec@1 33.125 (36.737) Prec@5 63.125 (67.586) Epoch: [18][4920/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.7601 (2.6025) Prec@1 36.250 (36.738) Prec@5 70.625 (67.592) Epoch: [18][4930/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.5900 (2.6026) Prec@1 38.750 (36.739) Prec@5 69.375 (67.590) Epoch: [18][4940/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 2.3744 (2.6027) Prec@1 40.625 (36.741) Prec@5 70.625 (67.587) Epoch: [18][4950/11272] Time 0.790 (0.807) Data 0.001 (0.002) Loss 2.5233 (2.6025) Prec@1 35.000 (36.742) Prec@5 70.625 (67.590) Epoch: [18][4960/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 2.2816 (2.6024) Prec@1 41.250 (36.744) Prec@5 76.250 (67.594) Epoch: [18][4970/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.9335 (2.6023) Prec@1 31.875 (36.743) Prec@5 61.250 (67.594) Epoch: [18][4980/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.9261 (2.6026) Prec@1 34.375 (36.738) Prec@5 58.750 (67.587) Epoch: [18][4990/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.8160 (2.6028) Prec@1 33.125 (36.737) Prec@5 63.125 (67.585) Epoch: [18][5000/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.6378 (2.6028) Prec@1 39.375 (36.738) Prec@5 68.750 (67.585) Epoch: [18][5010/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.4079 (2.6028) Prec@1 41.250 (36.738) Prec@5 74.375 (67.586) Epoch: [18][5020/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.7975 (2.6030) Prec@1 30.625 (36.736) Prec@5 60.000 (67.580) Epoch: [18][5030/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5975 (2.6031) Prec@1 38.125 (36.733) Prec@5 65.625 (67.579) Epoch: [18][5040/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.8520 (2.6032) Prec@1 31.875 (36.735) Prec@5 63.750 (67.579) Epoch: [18][5050/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.3904 (2.6032) Prec@1 40.000 (36.737) Prec@5 74.375 (67.583) Epoch: [18][5060/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.5932 (2.6031) Prec@1 36.250 (36.740) Prec@5 66.250 (67.585) Epoch: [18][5070/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.3465 (2.6031) Prec@1 40.625 (36.740) Prec@5 73.750 (67.585) Epoch: [18][5080/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.4924 (2.6030) Prec@1 43.750 (36.744) Prec@5 69.375 (67.585) Epoch: [18][5090/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.7454 (2.6030) Prec@1 35.000 (36.744) Prec@5 68.125 (67.588) Epoch: [18][5100/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.6649 (2.6032) Prec@1 38.125 (36.743) Prec@5 66.875 (67.583) Epoch: [18][5110/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.7703 (2.6032) Prec@1 38.750 (36.745) Prec@5 61.875 (67.581) Epoch: [18][5120/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.5881 (2.6033) Prec@1 41.250 (36.746) Prec@5 65.000 (67.579) Epoch: [18][5130/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.9172 (2.6035) Prec@1 30.625 (36.743) Prec@5 59.375 (67.575) Epoch: [18][5140/11272] Time 0.719 (0.807) Data 0.001 (0.002) Loss 2.6219 (2.6034) Prec@1 37.500 (36.748) Prec@5 62.500 (67.577) Epoch: [18][5150/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.9437 (2.6035) Prec@1 28.125 (36.745) Prec@5 60.625 (67.576) Epoch: [18][5160/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.3373 (2.6036) Prec@1 38.125 (36.743) Prec@5 75.625 (67.576) Epoch: [18][5170/11272] Time 0.769 (0.807) Data 0.001 (0.002) Loss 2.5786 (2.6035) Prec@1 33.750 (36.742) Prec@5 72.500 (67.576) Epoch: [18][5180/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.7245 (2.6037) Prec@1 38.125 (36.739) Prec@5 63.750 (67.574) Epoch: [18][5190/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.7209 (2.6037) Prec@1 33.125 (36.741) Prec@5 66.250 (67.576) Epoch: [18][5200/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.4154 (2.6037) Prec@1 40.625 (36.741) Prec@5 71.875 (67.574) Epoch: [18][5210/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.6524 (2.6038) Prec@1 33.750 (36.741) Prec@5 68.125 (67.572) Epoch: [18][5220/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.7044 (2.6040) Prec@1 39.375 (36.738) Prec@5 64.375 (67.569) Epoch: [18][5230/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.8010 (2.6040) Prec@1 31.250 (36.740) Prec@5 62.500 (67.567) Epoch: [18][5240/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.6588 (2.6039) Prec@1 31.250 (36.741) Prec@5 66.875 (67.567) Epoch: [18][5250/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4577 (2.6038) Prec@1 40.000 (36.744) Prec@5 68.750 (67.569) Epoch: [18][5260/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.6714 (2.6038) Prec@1 27.500 (36.743) Prec@5 65.000 (67.568) Epoch: [18][5270/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6398 (2.6037) Prec@1 41.875 (36.747) Prec@5 68.125 (67.568) Epoch: [18][5280/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.5383 (2.6038) Prec@1 38.125 (36.747) Prec@5 69.375 (67.567) Epoch: [18][5290/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.7080 (2.6038) Prec@1 37.500 (36.747) Prec@5 70.000 (67.567) Epoch: [18][5300/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.6189 (2.6038) Prec@1 37.500 (36.745) Prec@5 65.625 (67.567) Epoch: [18][5310/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.3766 (2.6038) Prec@1 38.125 (36.743) Prec@5 73.125 (67.569) Epoch: [18][5320/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.5683 (2.6038) Prec@1 38.750 (36.745) Prec@5 65.625 (67.569) Epoch: [18][5330/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.4934 (2.6039) Prec@1 35.625 (36.740) Prec@5 70.625 (67.569) Epoch: [18][5340/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 2.8250 (2.6039) Prec@1 31.250 (36.739) Prec@5 66.875 (67.570) Epoch: [18][5350/11272] Time 0.824 (0.806) Data 0.001 (0.002) Loss 2.6274 (2.6040) Prec@1 35.625 (36.738) Prec@5 67.500 (67.566) Epoch: [18][5360/11272] Time 0.763 (0.807) Data 0.001 (0.002) Loss 2.1827 (2.6040) Prec@1 44.375 (36.742) Prec@5 77.500 (67.568) Epoch: [18][5370/11272] Time 0.817 (0.807) Data 0.001 (0.002) Loss 2.5311 (2.6041) Prec@1 37.500 (36.742) Prec@5 68.750 (67.569) Epoch: [18][5380/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6490 (2.6040) Prec@1 38.750 (36.743) Prec@5 65.625 (67.568) Epoch: [18][5390/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.5233 (2.6040) Prec@1 40.625 (36.747) Prec@5 68.750 (67.567) Epoch: [18][5400/11272] Time 0.717 (0.807) Data 0.001 (0.002) Loss 2.5579 (2.6040) Prec@1 35.625 (36.748) Prec@5 70.625 (67.567) Epoch: [18][5410/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.5056 (2.6038) Prec@1 35.625 (36.751) Prec@5 66.875 (67.570) Epoch: [18][5420/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.5802 (2.6038) Prec@1 36.250 (36.752) Prec@5 64.375 (67.569) Epoch: [18][5430/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.7313 (2.6038) Prec@1 31.875 (36.750) Prec@5 68.125 (67.571) Epoch: [18][5440/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6103 (2.6037) Prec@1 35.625 (36.748) Prec@5 66.250 (67.571) Epoch: [18][5450/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.8597 (2.6038) Prec@1 31.875 (36.747) Prec@5 65.625 (67.572) Epoch: [18][5460/11272] Time 0.848 (0.806) Data 0.002 (0.002) Loss 2.4329 (2.6037) Prec@1 38.125 (36.748) Prec@5 67.500 (67.571) Epoch: [18][5470/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.5235 (2.6037) Prec@1 37.500 (36.747) Prec@5 67.500 (67.571) Epoch: [18][5480/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.4588 (2.6035) Prec@1 33.750 (36.749) Prec@5 67.500 (67.572) Epoch: [18][5490/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 2.6740 (2.6035) Prec@1 35.625 (36.752) Prec@5 64.375 (67.572) Epoch: [18][5500/11272] Time 0.760 (0.806) Data 0.004 (0.002) Loss 2.7132 (2.6034) Prec@1 33.125 (36.752) Prec@5 65.000 (67.574) Epoch: [18][5510/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.6800 (2.6035) Prec@1 32.500 (36.747) Prec@5 66.875 (67.571) Epoch: [18][5520/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.4457 (2.6035) Prec@1 38.750 (36.747) Prec@5 71.250 (67.571) Epoch: [18][5530/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.8596 (2.6035) Prec@1 27.500 (36.743) Prec@5 61.875 (67.569) Epoch: [18][5540/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.7439 (2.6036) Prec@1 38.750 (36.740) Prec@5 66.250 (67.567) Epoch: [18][5550/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7352 (2.6038) Prec@1 38.125 (36.739) Prec@5 68.750 (67.563) Epoch: [18][5560/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.5591 (2.6038) Prec@1 40.000 (36.738) Prec@5 65.625 (67.562) Epoch: [18][5570/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.6390 (2.6040) Prec@1 42.500 (36.736) Prec@5 67.500 (67.557) Epoch: [18][5580/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.9289 (2.6041) Prec@1 30.625 (36.733) Prec@5 61.875 (67.556) Epoch: [18][5590/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.7920 (2.6041) Prec@1 38.125 (36.733) Prec@5 63.750 (67.555) Epoch: [18][5600/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.3622 (2.6040) Prec@1 42.500 (36.734) Prec@5 75.000 (67.555) Epoch: [18][5610/11272] Time 0.842 (0.806) Data 0.002 (0.002) Loss 2.6685 (2.6040) Prec@1 35.000 (36.734) Prec@5 65.000 (67.555) Epoch: [18][5620/11272] Time 0.727 (0.806) Data 0.002 (0.002) Loss 2.6432 (2.6041) Prec@1 35.625 (36.737) Prec@5 63.750 (67.553) Epoch: [18][5630/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.6971 (2.6040) Prec@1 31.875 (36.737) Prec@5 70.625 (67.554) Epoch: [18][5640/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.5211 (2.6040) Prec@1 40.000 (36.737) Prec@5 68.750 (67.554) Epoch: [18][5650/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.3719 (2.6040) Prec@1 35.000 (36.736) Prec@5 68.750 (67.557) Epoch: [18][5660/11272] Time 0.777 (0.806) Data 0.002 (0.002) Loss 2.5820 (2.6039) Prec@1 40.000 (36.737) Prec@5 65.625 (67.559) Epoch: [18][5670/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.4005 (2.6038) Prec@1 43.125 (36.741) Prec@5 69.375 (67.562) Epoch: [18][5680/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.6818 (2.6039) Prec@1 36.875 (36.738) Prec@5 69.375 (67.561) Epoch: [18][5690/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.4531 (2.6039) Prec@1 39.375 (36.737) Prec@5 66.875 (67.559) Epoch: [18][5700/11272] Time 0.777 (0.806) Data 0.002 (0.002) Loss 2.6570 (2.6040) Prec@1 39.375 (36.737) Prec@5 63.125 (67.556) Epoch: [18][5710/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.4223 (2.6039) Prec@1 38.125 (36.738) Prec@5 68.125 (67.557) Epoch: [18][5720/11272] Time 0.812 (0.806) Data 0.001 (0.002) Loss 2.2836 (2.6040) Prec@1 40.000 (36.735) Prec@5 75.000 (67.553) Epoch: [18][5730/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7393 (2.6039) Prec@1 35.625 (36.737) Prec@5 68.125 (67.556) Epoch: [18][5740/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.6058 (2.6039) Prec@1 33.125 (36.737) Prec@5 67.500 (67.557) Epoch: [18][5750/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.5666 (2.6039) Prec@1 38.750 (36.736) Prec@5 68.750 (67.558) Epoch: [18][5760/11272] Time 0.755 (0.806) Data 0.003 (0.002) Loss 2.7616 (2.6040) Prec@1 32.500 (36.737) Prec@5 62.500 (67.556) Epoch: [18][5770/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.3873 (2.6039) Prec@1 37.500 (36.736) Prec@5 76.250 (67.558) Epoch: [18][5780/11272] Time 0.840 (0.806) Data 0.001 (0.002) Loss 2.2210 (2.6037) Prec@1 42.500 (36.741) Prec@5 77.500 (67.563) Epoch: [18][5790/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.5351 (2.6037) Prec@1 35.625 (36.739) Prec@5 66.875 (67.564) Epoch: [18][5800/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.3846 (2.6037) Prec@1 40.000 (36.740) Prec@5 73.125 (67.565) Epoch: [18][5810/11272] Time 0.782 (0.806) Data 0.001 (0.002) Loss 2.5651 (2.6037) Prec@1 38.125 (36.739) Prec@5 68.750 (67.567) Epoch: [18][5820/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.5335 (2.6037) Prec@1 38.125 (36.739) Prec@5 68.750 (67.565) Epoch: [18][5830/11272] Time 0.893 (0.806) Data 0.002 (0.002) Loss 2.5134 (2.6036) Prec@1 40.625 (36.743) Prec@5 68.750 (67.566) Epoch: [18][5840/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.3644 (2.6035) Prec@1 41.875 (36.746) Prec@5 78.125 (67.570) Epoch: [18][5850/11272] Time 0.772 (0.806) Data 0.002 (0.002) Loss 2.5061 (2.6035) Prec@1 35.625 (36.746) Prec@5 70.625 (67.568) Epoch: [18][5860/11272] Time 0.820 (0.806) Data 0.001 (0.002) Loss 2.4717 (2.6035) Prec@1 39.375 (36.744) Prec@5 65.625 (67.566) Epoch: [18][5870/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.3313 (2.6033) Prec@1 44.375 (36.746) Prec@5 68.125 (67.570) Epoch: [18][5880/11272] Time 0.721 (0.806) Data 0.002 (0.002) Loss 2.7370 (2.6034) Prec@1 34.375 (36.744) Prec@5 67.500 (67.568) Epoch: [18][5890/11272] Time 0.878 (0.806) Data 0.001 (0.002) Loss 2.4302 (2.6034) Prec@1 42.500 (36.744) Prec@5 71.250 (67.568) Epoch: [18][5900/11272] Time 0.885 (0.806) Data 0.001 (0.002) Loss 2.5310 (2.6036) Prec@1 36.250 (36.740) Prec@5 69.375 (67.564) Epoch: [18][5910/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5301 (2.6036) Prec@1 36.875 (36.740) Prec@5 71.250 (67.567) Epoch: [18][5920/11272] Time 0.778 (0.806) Data 0.002 (0.002) Loss 2.7322 (2.6036) Prec@1 38.750 (36.740) Prec@5 71.250 (67.567) Epoch: [18][5930/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 2.4531 (2.6035) Prec@1 40.000 (36.740) Prec@5 71.250 (67.570) Epoch: [18][5940/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.9163 (2.6037) Prec@1 33.750 (36.737) Prec@5 61.875 (67.568) Epoch: [18][5950/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.5838 (2.6036) Prec@1 40.625 (36.737) Prec@5 65.000 (67.568) Epoch: [18][5960/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 2.6516 (2.6035) Prec@1 36.250 (36.740) Prec@5 66.250 (67.570) Epoch: [18][5970/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.4752 (2.6035) Prec@1 41.250 (36.741) Prec@5 73.125 (67.571) Epoch: [18][5980/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.7405 (2.6035) Prec@1 36.250 (36.739) Prec@5 61.875 (67.569) Epoch: [18][5990/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.7178 (2.6035) Prec@1 34.375 (36.739) Prec@5 65.000 (67.569) Epoch: [18][6000/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.5407 (2.6036) Prec@1 40.625 (36.737) Prec@5 65.625 (67.566) Epoch: [18][6010/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.4097 (2.6036) Prec@1 39.375 (36.738) Prec@5 74.375 (67.565) Epoch: [18][6020/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.6254 (2.6037) Prec@1 37.500 (36.736) Prec@5 64.375 (67.564) Epoch: [18][6030/11272] Time 0.772 (0.806) Data 0.001 (0.002) Loss 2.5550 (2.6037) Prec@1 33.125 (36.736) Prec@5 65.000 (67.564) Epoch: [18][6040/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.6648 (2.6038) Prec@1 33.750 (36.734) Prec@5 67.500 (67.565) Epoch: [18][6050/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.6340 (2.6038) Prec@1 35.625 (36.733) Prec@5 66.875 (67.565) Epoch: [18][6060/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6580 (2.6038) Prec@1 31.250 (36.734) Prec@5 64.375 (67.566) Epoch: [18][6070/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4352 (2.6036) Prec@1 42.500 (36.738) Prec@5 72.500 (67.570) Epoch: [18][6080/11272] Time 0.860 (0.806) Data 0.001 (0.002) Loss 2.7279 (2.6037) Prec@1 32.500 (36.737) Prec@5 64.375 (67.569) Epoch: [18][6090/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.7770 (2.6039) Prec@1 32.500 (36.735) Prec@5 63.125 (67.565) Epoch: [18][6100/11272] Time 0.688 (0.806) Data 0.001 (0.002) Loss 2.5503 (2.6039) Prec@1 35.625 (36.733) Prec@5 71.875 (67.564) Epoch: [18][6110/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7406 (2.6040) Prec@1 34.375 (36.733) Prec@5 66.250 (67.563) Epoch: [18][6120/11272] Time 0.892 (0.806) Data 0.001 (0.002) Loss 2.7201 (2.6041) Prec@1 35.625 (36.732) Prec@5 62.500 (67.563) Epoch: [18][6130/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.6467 (2.6040) Prec@1 40.000 (36.736) Prec@5 63.750 (67.564) Epoch: [18][6140/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.6231 (2.6039) Prec@1 34.375 (36.736) Prec@5 66.875 (67.564) Epoch: [18][6150/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.8935 (2.6039) Prec@1 31.875 (36.738) Prec@5 61.250 (67.564) Epoch: [18][6160/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.4433 (2.6039) Prec@1 41.875 (36.736) Prec@5 71.875 (67.564) Epoch: [18][6170/11272] Time 0.765 (0.806) Data 0.002 (0.002) Loss 2.7637 (2.6039) Prec@1 30.625 (36.735) Prec@5 61.875 (67.564) Epoch: [18][6180/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 2.8506 (2.6041) Prec@1 35.000 (36.733) Prec@5 63.125 (67.560) Epoch: [18][6190/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 2.4731 (2.6039) Prec@1 36.250 (36.734) Prec@5 73.125 (67.563) Epoch: [18][6200/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.6576 (2.6040) Prec@1 40.000 (36.731) Prec@5 66.875 (67.560) Epoch: [18][6210/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.7134 (2.6041) Prec@1 35.625 (36.729) Prec@5 66.875 (67.558) Epoch: [18][6220/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.6382 (2.6041) Prec@1 34.375 (36.729) Prec@5 66.250 (67.558) Epoch: [18][6230/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.7157 (2.6042) Prec@1 35.000 (36.726) Prec@5 64.375 (67.555) Epoch: [18][6240/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.8470 (2.6041) Prec@1 33.750 (36.728) Prec@5 65.625 (67.557) Epoch: [18][6250/11272] Time 0.731 (0.806) Data 0.002 (0.002) Loss 2.4244 (2.6042) Prec@1 40.000 (36.723) Prec@5 71.250 (67.554) Epoch: [18][6260/11272] Time 0.805 (0.806) Data 0.001 (0.002) Loss 2.9042 (2.6043) Prec@1 31.250 (36.721) Prec@5 62.500 (67.552) Epoch: [18][6270/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.4668 (2.6042) Prec@1 37.500 (36.721) Prec@5 66.875 (67.554) Epoch: [18][6280/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.7156 (2.6042) Prec@1 33.125 (36.722) Prec@5 69.375 (67.557) Epoch: [18][6290/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7037 (2.6042) Prec@1 32.500 (36.722) Prec@5 70.625 (67.557) Epoch: [18][6300/11272] Time 0.794 (0.806) Data 0.001 (0.002) Loss 2.8635 (2.6042) Prec@1 32.500 (36.722) Prec@5 65.000 (67.559) Epoch: [18][6310/11272] Time 0.911 (0.806) Data 0.003 (0.002) Loss 2.3247 (2.6040) Prec@1 43.125 (36.725) Prec@5 70.625 (67.561) Epoch: [18][6320/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.8491 (2.6041) Prec@1 33.125 (36.723) Prec@5 63.125 (67.559) Epoch: [18][6330/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.2990 (2.6041) Prec@1 43.750 (36.722) Prec@5 70.625 (67.557) Epoch: [18][6340/11272] Time 0.884 (0.806) Data 0.001 (0.002) Loss 2.1547 (2.6039) Prec@1 45.000 (36.728) Prec@5 77.500 (67.561) Epoch: [18][6350/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.5337 (2.6039) Prec@1 37.500 (36.728) Prec@5 67.500 (67.561) Epoch: [18][6360/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.7085 (2.6040) Prec@1 38.750 (36.727) Prec@5 65.000 (67.558) Epoch: [18][6370/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.5544 (2.6039) Prec@1 39.375 (36.729) Prec@5 68.750 (67.561) Epoch: [18][6380/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.6314 (2.6040) Prec@1 33.125 (36.726) Prec@5 67.500 (67.560) Epoch: [18][6390/11272] Time 0.913 (0.806) Data 0.002 (0.002) Loss 2.6277 (2.6039) Prec@1 39.375 (36.728) Prec@5 64.375 (67.559) Epoch: [18][6400/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.4682 (2.6039) Prec@1 41.875 (36.727) Prec@5 68.750 (67.560) Epoch: [18][6410/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7038 (2.6039) Prec@1 35.000 (36.728) Prec@5 67.500 (67.560) Epoch: [18][6420/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.5054 (2.6039) Prec@1 40.625 (36.727) Prec@5 71.875 (67.563) Epoch: [18][6430/11272] Time 0.758 (0.806) Data 0.003 (0.002) Loss 2.3410 (2.6038) Prec@1 40.625 (36.727) Prec@5 75.625 (67.563) Epoch: [18][6440/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.8768 (2.6038) Prec@1 32.500 (36.727) Prec@5 55.625 (67.563) Epoch: [18][6450/11272] Time 0.943 (0.806) Data 0.002 (0.002) Loss 2.5443 (2.6040) Prec@1 38.125 (36.726) Prec@5 68.750 (67.561) Epoch: [18][6460/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.5122 (2.6040) Prec@1 33.750 (36.724) Prec@5 67.500 (67.559) Epoch: [18][6470/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5743 (2.6041) Prec@1 33.125 (36.727) Prec@5 66.875 (67.560) Epoch: [18][6480/11272] Time 0.723 (0.806) Data 0.002 (0.002) Loss 2.6089 (2.6041) Prec@1 37.500 (36.726) Prec@5 63.750 (67.560) Epoch: [18][6490/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.4587 (2.6041) Prec@1 39.375 (36.724) Prec@5 70.000 (67.558) Epoch: [18][6500/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.8595 (2.6042) Prec@1 30.625 (36.723) Prec@5 63.750 (67.559) Epoch: [18][6510/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.7873 (2.6042) Prec@1 30.625 (36.723) Prec@5 67.500 (67.559) Epoch: [18][6520/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.7376 (2.6042) Prec@1 30.000 (36.722) Prec@5 66.875 (67.559) Epoch: [18][6530/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.7003 (2.6043) Prec@1 33.750 (36.721) Prec@5 66.250 (67.558) Epoch: [18][6540/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.8423 (2.6043) Prec@1 28.125 (36.724) Prec@5 62.500 (67.558) Epoch: [18][6550/11272] Time 0.766 (0.806) Data 0.002 (0.002) Loss 2.7093 (2.6043) Prec@1 36.250 (36.722) Prec@5 63.750 (67.559) Epoch: [18][6560/11272] Time 0.800 (0.806) Data 0.001 (0.002) Loss 2.8287 (2.6043) Prec@1 39.375 (36.723) Prec@5 61.875 (67.557) Epoch: [18][6570/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.7356 (2.6044) Prec@1 37.500 (36.721) Prec@5 65.625 (67.555) Epoch: [18][6580/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5397 (2.6044) Prec@1 38.750 (36.722) Prec@5 72.500 (67.556) Epoch: [18][6590/11272] Time 0.783 (0.806) Data 0.003 (0.002) Loss 2.8084 (2.6044) Prec@1 36.875 (36.722) Prec@5 63.125 (67.556) Epoch: [18][6600/11272] Time 0.835 (0.806) Data 0.002 (0.002) Loss 2.3879 (2.6044) Prec@1 42.500 (36.721) Prec@5 75.000 (67.557) Epoch: [18][6610/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6710 (2.6044) Prec@1 36.250 (36.720) Prec@5 65.625 (67.555) Epoch: [18][6620/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.5630 (2.6043) Prec@1 36.875 (36.723) Prec@5 68.750 (67.558) Epoch: [18][6630/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.5160 (2.6043) Prec@1 36.875 (36.724) Prec@5 70.000 (67.559) Epoch: [18][6640/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.6127 (2.6044) Prec@1 34.375 (36.723) Prec@5 68.125 (67.558) Epoch: [18][6650/11272] Time 0.838 (0.806) Data 0.002 (0.002) Loss 2.6588 (2.6043) Prec@1 34.375 (36.724) Prec@5 70.000 (67.559) Epoch: [18][6660/11272] Time 0.701 (0.806) Data 0.001 (0.002) Loss 2.8214 (2.6044) Prec@1 32.500 (36.723) Prec@5 68.750 (67.558) Epoch: [18][6670/11272] Time 0.758 (0.806) Data 0.001 (0.002) Loss 2.4973 (2.6043) Prec@1 40.625 (36.725) Prec@5 71.875 (67.559) Epoch: [18][6680/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 2.5896 (2.6043) Prec@1 40.000 (36.726) Prec@5 68.125 (67.560) Epoch: [18][6690/11272] Time 0.759 (0.806) Data 0.003 (0.002) Loss 2.4450 (2.6042) Prec@1 43.750 (36.730) Prec@5 68.750 (67.560) Epoch: [18][6700/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.6046 (2.6042) Prec@1 35.000 (36.730) Prec@5 67.500 (67.560) Epoch: [18][6710/11272] Time 0.855 (0.806) Data 0.001 (0.002) Loss 2.4485 (2.6042) Prec@1 36.250 (36.732) Prec@5 77.500 (67.562) Epoch: [18][6720/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.4434 (2.6041) Prec@1 40.000 (36.735) Prec@5 70.625 (67.566) Epoch: [18][6730/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 2.8047 (2.6041) Prec@1 32.500 (36.734) Prec@5 66.250 (67.565) Epoch: [18][6740/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.6989 (2.6041) Prec@1 31.250 (36.734) Prec@5 65.000 (67.565) Epoch: [18][6750/11272] Time 0.841 (0.806) Data 0.001 (0.002) Loss 2.4892 (2.6042) Prec@1 33.125 (36.730) Prec@5 68.750 (67.563) Epoch: [18][6760/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.5669 (2.6044) Prec@1 38.125 (36.727) Prec@5 68.750 (67.560) Epoch: [18][6770/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.5267 (2.6044) Prec@1 38.125 (36.727) Prec@5 69.375 (67.558) Epoch: [18][6780/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.7006 (2.6044) Prec@1 33.750 (36.727) Prec@5 62.500 (67.558) Epoch: [18][6790/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.8772 (2.6044) Prec@1 36.875 (36.726) Prec@5 61.875 (67.556) Epoch: [18][6800/11272] Time 0.833 (0.806) Data 0.001 (0.002) Loss 2.5629 (2.6044) Prec@1 34.375 (36.726) Prec@5 67.500 (67.556) Epoch: [18][6810/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.5434 (2.6044) Prec@1 39.375 (36.729) Prec@5 69.375 (67.557) Epoch: [18][6820/11272] Time 0.945 (0.806) Data 0.001 (0.002) Loss 2.4468 (2.6043) Prec@1 35.625 (36.732) Prec@5 71.875 (67.555) Epoch: [18][6830/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.5804 (2.6044) Prec@1 38.125 (36.729) Prec@5 66.250 (67.553) Epoch: [18][6840/11272] Time 0.767 (0.806) Data 0.001 (0.002) Loss 2.6899 (2.6044) Prec@1 38.750 (36.729) Prec@5 66.875 (67.551) Epoch: [18][6850/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.6503 (2.6044) Prec@1 35.625 (36.730) Prec@5 70.000 (67.552) Epoch: [18][6860/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.6004 (2.6045) Prec@1 35.625 (36.730) Prec@5 67.500 (67.551) Epoch: [18][6870/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.4137 (2.6045) Prec@1 42.500 (36.730) Prec@5 73.125 (67.550) Epoch: [18][6880/11272] Time 0.766 (0.806) Data 0.002 (0.002) Loss 2.0797 (2.6044) Prec@1 46.250 (36.732) Prec@5 81.250 (67.550) Epoch: [18][6890/11272] Time 0.733 (0.806) Data 0.002 (0.002) Loss 2.9263 (2.6044) Prec@1 33.125 (36.733) Prec@5 61.250 (67.548) Epoch: [18][6900/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.4621 (2.6045) Prec@1 39.375 (36.733) Prec@5 68.125 (67.546) Epoch: [18][6910/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.2905 (2.6043) Prec@1 45.000 (36.737) Prec@5 73.750 (67.551) Epoch: [18][6920/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.4969 (2.6043) Prec@1 40.000 (36.738) Prec@5 71.250 (67.550) Epoch: [18][6930/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.5771 (2.6043) Prec@1 36.250 (36.736) Prec@5 68.750 (67.551) Epoch: [18][6940/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.6422 (2.6044) Prec@1 43.125 (36.738) Prec@5 69.375 (67.550) Epoch: [18][6950/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.3140 (2.6044) Prec@1 41.250 (36.738) Prec@5 70.000 (67.549) Epoch: [18][6960/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.9316 (2.6044) Prec@1 35.000 (36.738) Prec@5 68.125 (67.552) Epoch: [18][6970/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.8405 (2.6045) Prec@1 34.375 (36.739) Prec@5 66.875 (67.552) Epoch: [18][6980/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.4897 (2.6044) Prec@1 37.500 (36.738) Prec@5 71.875 (67.553) Epoch: [18][6990/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.9597 (2.6044) Prec@1 32.500 (36.739) Prec@5 58.750 (67.553) Epoch: [18][7000/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.6415 (2.6044) Prec@1 39.375 (36.740) Prec@5 70.625 (67.553) Epoch: [18][7010/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.6874 (2.6045) Prec@1 31.875 (36.740) Prec@5 64.375 (67.552) Epoch: [18][7020/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.5195 (2.6045) Prec@1 39.375 (36.739) Prec@5 66.250 (67.552) Epoch: [18][7030/11272] Time 0.752 (0.806) Data 0.002 (0.002) Loss 2.6593 (2.6046) Prec@1 34.375 (36.738) Prec@5 66.875 (67.550) Epoch: [18][7040/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.5002 (2.6045) Prec@1 40.000 (36.741) Prec@5 70.000 (67.551) Epoch: [18][7050/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.4537 (2.6045) Prec@1 41.875 (36.743) Prec@5 73.125 (67.551) Epoch: [18][7060/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.6540 (2.6044) Prec@1 38.125 (36.745) Prec@5 66.250 (67.553) Epoch: [18][7070/11272] Time 0.709 (0.806) Data 0.001 (0.002) Loss 2.6642 (2.6044) Prec@1 34.375 (36.747) Prec@5 67.500 (67.556) Epoch: [18][7080/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.7338 (2.6044) Prec@1 33.750 (36.746) Prec@5 63.750 (67.554) Epoch: [18][7090/11272] Time 0.932 (0.806) Data 0.002 (0.002) Loss 2.6223 (2.6045) Prec@1 37.500 (36.745) Prec@5 63.750 (67.553) Epoch: [18][7100/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.6692 (2.6045) Prec@1 35.000 (36.743) Prec@5 64.375 (67.553) Epoch: [18][7110/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.6244 (2.6045) Prec@1 35.625 (36.740) Prec@5 64.375 (67.554) Epoch: [18][7120/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.5884 (2.6044) Prec@1 40.625 (36.742) Prec@5 72.500 (67.556) Epoch: [18][7130/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.5162 (2.6044) Prec@1 36.250 (36.740) Prec@5 67.500 (67.555) Epoch: [18][7140/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.9561 (2.6045) Prec@1 31.875 (36.738) Prec@5 58.125 (67.554) Epoch: [18][7150/11272] Time 0.752 (0.806) Data 0.002 (0.002) Loss 2.6954 (2.6045) Prec@1 38.125 (36.737) Prec@5 61.875 (67.553) Epoch: [18][7160/11272] Time 0.848 (0.806) Data 0.002 (0.002) Loss 2.8167 (2.6044) Prec@1 34.375 (36.740) Prec@5 62.500 (67.555) Epoch: [18][7170/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.7237 (2.6046) Prec@1 34.375 (36.738) Prec@5 67.500 (67.553) Epoch: [18][7180/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.5235 (2.6047) Prec@1 37.500 (36.737) Prec@5 70.000 (67.551) Epoch: [18][7190/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 3.0192 (2.6048) Prec@1 29.375 (36.733) Prec@5 62.500 (67.551) Epoch: [18][7200/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.5750 (2.6049) Prec@1 33.125 (36.731) Prec@5 66.250 (67.549) Epoch: [18][7210/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.6110 (2.6048) Prec@1 34.375 (36.730) Prec@5 63.125 (67.548) Epoch: [18][7220/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.2966 (2.6049) Prec@1 41.875 (36.729) Prec@5 73.750 (67.545) Epoch: [18][7230/11272] Time 0.870 (0.806) Data 0.001 (0.002) Loss 2.6982 (2.6048) Prec@1 35.625 (36.728) Prec@5 63.750 (67.545) Epoch: [18][7240/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.5779 (2.6048) Prec@1 35.625 (36.727) Prec@5 69.375 (67.545) Epoch: [18][7250/11272] Time 0.763 (0.806) Data 0.001 (0.002) Loss 2.7997 (2.6049) Prec@1 35.000 (36.728) Prec@5 64.375 (67.544) Epoch: [18][7260/11272] Time 0.705 (0.806) Data 0.001 (0.002) Loss 2.3597 (2.6049) Prec@1 41.875 (36.730) Prec@5 71.250 (67.543) Epoch: [18][7270/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 2.5163 (2.6049) Prec@1 36.875 (36.728) Prec@5 71.875 (67.544) Epoch: [18][7280/11272] Time 0.903 (0.806) Data 0.002 (0.002) Loss 2.6340 (2.6050) Prec@1 37.500 (36.727) Prec@5 64.375 (67.542) Epoch: [18][7290/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.3350 (2.6049) Prec@1 47.500 (36.730) Prec@5 73.125 (67.542) Epoch: [18][7300/11272] Time 0.758 (0.806) Data 0.001 (0.002) Loss 2.7102 (2.6049) Prec@1 31.875 (36.730) Prec@5 64.375 (67.544) Epoch: [18][7310/11272] Time 0.913 (0.806) Data 0.002 (0.002) Loss 2.5786 (2.6048) Prec@1 38.750 (36.733) Prec@5 66.875 (67.544) Epoch: [18][7320/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.5314 (2.6049) Prec@1 35.625 (36.732) Prec@5 72.500 (67.543) Epoch: [18][7330/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.4262 (2.6048) Prec@1 40.625 (36.733) Prec@5 73.125 (67.545) Epoch: [18][7340/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.4367 (2.6049) Prec@1 38.750 (36.731) Prec@5 69.375 (67.543) Epoch: [18][7350/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.7822 (2.6048) Prec@1 31.875 (36.731) Prec@5 63.750 (67.544) Epoch: [18][7360/11272] Time 0.771 (0.806) Data 0.003 (0.002) Loss 2.7331 (2.6049) Prec@1 33.125 (36.730) Prec@5 66.250 (67.542) Epoch: [18][7370/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.5873 (2.6050) Prec@1 35.000 (36.728) Prec@5 70.000 (67.542) Epoch: [18][7380/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.5196 (2.6051) Prec@1 37.500 (36.725) Prec@5 70.000 (67.540) Epoch: [18][7390/11272] Time 0.913 (0.806) Data 0.002 (0.002) Loss 2.4249 (2.6050) Prec@1 38.125 (36.724) Prec@5 70.000 (67.541) Epoch: [18][7400/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.7392 (2.6051) Prec@1 33.750 (36.725) Prec@5 61.250 (67.539) Epoch: [18][7410/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.4573 (2.6049) Prec@1 40.000 (36.729) Prec@5 71.250 (67.543) Epoch: [18][7420/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.6299 (2.6049) Prec@1 39.375 (36.729) Prec@5 70.000 (67.544) Epoch: [18][7430/11272] Time 0.956 (0.806) Data 0.002 (0.002) Loss 2.8736 (2.6047) Prec@1 36.250 (36.735) Prec@5 62.500 (67.546) Epoch: [18][7440/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.8666 (2.6048) Prec@1 36.875 (36.736) Prec@5 62.500 (67.544) Epoch: [18][7450/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.5956 (2.6048) Prec@1 37.500 (36.737) Prec@5 70.000 (67.543) Epoch: [18][7460/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.3974 (2.6048) Prec@1 36.875 (36.736) Prec@5 75.625 (67.543) Epoch: [18][7470/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.5120 (2.6047) Prec@1 36.250 (36.737) Prec@5 69.375 (67.543) Epoch: [18][7480/11272] Time 0.737 (0.806) Data 0.002 (0.002) Loss 2.5862 (2.6046) Prec@1 39.375 (36.740) Prec@5 67.500 (67.543) Epoch: [18][7490/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.6498 (2.6046) Prec@1 38.125 (36.741) Prec@5 66.250 (67.547) Epoch: [18][7500/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.4561 (2.6046) Prec@1 37.500 (36.742) Prec@5 68.125 (67.545) Epoch: [18][7510/11272] Time 0.706 (0.806) Data 0.001 (0.002) Loss 2.4208 (2.6046) Prec@1 45.000 (36.741) Prec@5 69.375 (67.545) Epoch: [18][7520/11272] Time 0.763 (0.806) Data 0.002 (0.002) Loss 2.3427 (2.6046) Prec@1 40.625 (36.741) Prec@5 71.875 (67.546) Epoch: [18][7530/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.4342 (2.6046) Prec@1 39.375 (36.742) Prec@5 70.625 (67.546) Epoch: [18][7540/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.6487 (2.6045) Prec@1 34.375 (36.744) Prec@5 66.875 (67.546) Epoch: [18][7550/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6292 (2.6044) Prec@1 40.625 (36.747) Prec@5 68.125 (67.546) Epoch: [18][7560/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.8380 (2.6045) Prec@1 31.250 (36.745) Prec@5 60.625 (67.544) Epoch: [18][7570/11272] Time 0.956 (0.806) Data 0.002 (0.002) Loss 2.5949 (2.6045) Prec@1 38.125 (36.746) Prec@5 66.875 (67.544) Epoch: [18][7580/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.9467 (2.6046) Prec@1 29.375 (36.748) Prec@5 60.625 (67.543) Epoch: [18][7590/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.8144 (2.6047) Prec@1 31.875 (36.744) Prec@5 63.750 (67.541) Epoch: [18][7600/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 2.8475 (2.6046) Prec@1 36.875 (36.745) Prec@5 60.000 (67.541) Epoch: [18][7610/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.5311 (2.6046) Prec@1 35.625 (36.744) Prec@5 65.625 (67.539) Epoch: [18][7620/11272] Time 0.758 (0.806) Data 0.003 (0.002) Loss 2.6788 (2.6046) Prec@1 31.250 (36.745) Prec@5 66.875 (67.540) Epoch: [18][7630/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.5400 (2.6045) Prec@1 41.250 (36.746) Prec@5 71.250 (67.543) Epoch: [18][7640/11272] Time 0.839 (0.806) Data 0.002 (0.002) Loss 2.6825 (2.6045) Prec@1 33.750 (36.745) Prec@5 67.500 (67.542) Epoch: [18][7650/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.7314 (2.6046) Prec@1 32.500 (36.746) Prec@5 65.000 (67.539) Epoch: [18][7660/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.7134 (2.6046) Prec@1 36.875 (36.748) Prec@5 66.250 (67.537) Epoch: [18][7670/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.5060 (2.6046) Prec@1 39.375 (36.748) Prec@5 69.375 (67.537) Epoch: [18][7680/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.7748 (2.6046) Prec@1 36.250 (36.747) Prec@5 63.125 (67.536) Epoch: [18][7690/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 2.6282 (2.6047) Prec@1 32.500 (36.745) Prec@5 68.125 (67.536) Epoch: [18][7700/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.5328 (2.6046) Prec@1 38.125 (36.745) Prec@5 71.250 (67.537) Epoch: [18][7710/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.3028 (2.6046) Prec@1 45.625 (36.744) Prec@5 74.375 (67.538) Epoch: [18][7720/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.4111 (2.6044) Prec@1 41.875 (36.748) Prec@5 73.750 (67.541) Epoch: [18][7730/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.6753 (2.6045) Prec@1 35.000 (36.749) Prec@5 65.625 (67.540) Epoch: [18][7740/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.6489 (2.6045) Prec@1 33.125 (36.749) Prec@5 69.375 (67.539) Epoch: [18][7750/11272] Time 0.829 (0.806) Data 0.001 (0.002) Loss 2.5891 (2.6045) Prec@1 33.125 (36.750) Prec@5 62.500 (67.538) Epoch: [18][7760/11272] Time 0.860 (0.806) Data 0.001 (0.002) Loss 2.5875 (2.6044) Prec@1 33.125 (36.752) Prec@5 69.375 (67.539) Epoch: [18][7770/11272] Time 0.720 (0.806) Data 0.001 (0.002) Loss 2.6817 (2.6044) Prec@1 39.375 (36.751) Prec@5 61.250 (67.538) Epoch: [18][7780/11272] Time 0.770 (0.806) Data 0.001 (0.002) Loss 2.4970 (2.6045) Prec@1 35.625 (36.749) Prec@5 71.250 (67.538) Epoch: [18][7790/11272] Time 0.872 (0.806) Data 0.001 (0.002) Loss 2.6335 (2.6046) Prec@1 38.125 (36.749) Prec@5 65.625 (67.537) Epoch: [18][7800/11272] Time 0.837 (0.806) Data 0.002 (0.002) Loss 2.4857 (2.6045) Prec@1 38.750 (36.751) Prec@5 67.500 (67.537) Epoch: [18][7810/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6648 (2.6046) Prec@1 39.375 (36.749) Prec@5 66.250 (67.536) Epoch: [18][7820/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.7743 (2.6047) Prec@1 38.750 (36.746) Prec@5 60.625 (67.531) Epoch: [18][7830/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.7758 (2.6047) Prec@1 33.750 (36.747) Prec@5 65.000 (67.532) Epoch: [18][7840/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.9153 (2.6047) Prec@1 33.125 (36.744) Prec@5 58.750 (67.531) Epoch: [18][7850/11272] Time 0.723 (0.806) Data 0.002 (0.002) Loss 2.8724 (2.6047) Prec@1 33.750 (36.744) Prec@5 59.375 (67.531) Epoch: [18][7860/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.6784 (2.6047) Prec@1 34.375 (36.745) Prec@5 67.500 (67.531) Epoch: [18][7870/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 2.5812 (2.6047) Prec@1 36.250 (36.745) Prec@5 65.625 (67.530) Epoch: [18][7880/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.6094 (2.6047) Prec@1 33.750 (36.745) Prec@5 66.875 (67.529) Epoch: [18][7890/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.6076 (2.6047) Prec@1 30.625 (36.746) Prec@5 66.875 (67.530) Epoch: [18][7900/11272] Time 0.904 (0.806) Data 0.001 (0.002) Loss 2.6083 (2.6047) Prec@1 40.625 (36.747) Prec@5 66.875 (67.530) Epoch: [18][7910/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.8154 (2.6047) Prec@1 38.750 (36.750) Prec@5 61.875 (67.530) Epoch: [18][7920/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 2.5267 (2.6046) Prec@1 40.000 (36.752) Prec@5 70.625 (67.531) Epoch: [18][7930/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.5452 (2.6046) Prec@1 38.125 (36.754) Prec@5 71.250 (67.531) Epoch: [18][7940/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 2.4566 (2.6045) Prec@1 37.500 (36.755) Prec@5 69.375 (67.532) Epoch: [18][7950/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.7279 (2.6045) Prec@1 33.750 (36.754) Prec@5 66.875 (67.531) Epoch: [18][7960/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.8625 (2.6045) Prec@1 31.875 (36.753) Prec@5 61.250 (67.530) Epoch: [18][7970/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.7539 (2.6045) Prec@1 33.750 (36.753) Prec@5 65.625 (67.530) Epoch: [18][7980/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.8002 (2.6046) Prec@1 39.375 (36.752) Prec@5 66.250 (67.527) Epoch: [18][7990/11272] Time 0.868 (0.806) Data 0.001 (0.002) Loss 2.4930 (2.6046) Prec@1 37.500 (36.754) Prec@5 67.500 (67.528) Epoch: [18][8000/11272] Time 0.768 (0.806) Data 0.001 (0.002) Loss 2.6035 (2.6046) Prec@1 38.750 (36.753) Prec@5 66.875 (67.526) Epoch: [18][8010/11272] Time 0.752 (0.806) Data 0.002 (0.002) Loss 2.3095 (2.6046) Prec@1 45.625 (36.756) Prec@5 71.875 (67.525) Epoch: [18][8020/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.6800 (2.6046) Prec@1 33.750 (36.754) Prec@5 66.875 (67.526) Epoch: [18][8030/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.7770 (2.6046) Prec@1 31.250 (36.754) Prec@5 64.375 (67.527) Epoch: [18][8040/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.4762 (2.6046) Prec@1 39.375 (36.753) Prec@5 70.000 (67.526) Epoch: [18][8050/11272] Time 0.912 (0.806) Data 0.002 (0.002) Loss 2.5255 (2.6046) Prec@1 41.250 (36.753) Prec@5 68.750 (67.524) Epoch: [18][8060/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.3322 (2.6046) Prec@1 40.000 (36.753) Prec@5 70.625 (67.524) Epoch: [18][8070/11272] Time 0.743 (0.806) Data 0.002 (0.002) Loss 2.6806 (2.6047) Prec@1 39.375 (36.753) Prec@5 65.000 (67.521) Epoch: [18][8080/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7188 (2.6047) Prec@1 35.000 (36.752) Prec@5 65.625 (67.520) Epoch: [18][8090/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.4038 (2.6046) Prec@1 40.000 (36.752) Prec@5 73.750 (67.522) Epoch: [18][8100/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.7294 (2.6047) Prec@1 35.625 (36.751) Prec@5 65.625 (67.523) Epoch: [18][8110/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.5622 (2.6046) Prec@1 38.750 (36.751) Prec@5 73.750 (67.525) Epoch: [18][8120/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.4719 (2.6046) Prec@1 36.875 (36.753) Prec@5 72.500 (67.525) Epoch: [18][8130/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.7356 (2.6047) Prec@1 35.000 (36.752) Prec@5 64.375 (67.523) Epoch: [18][8140/11272] Time 0.845 (0.806) Data 0.001 (0.002) Loss 2.6381 (2.6047) Prec@1 33.125 (36.750) Prec@5 66.875 (67.523) Epoch: [18][8150/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6270 (2.6049) Prec@1 38.125 (36.748) Prec@5 66.875 (67.520) Epoch: [18][8160/11272] Time 0.899 (0.806) Data 0.001 (0.002) Loss 2.5946 (2.6049) Prec@1 36.875 (36.748) Prec@5 71.875 (67.522) Epoch: [18][8170/11272] Time 0.861 (0.806) Data 0.001 (0.002) Loss 2.6462 (2.6049) Prec@1 38.750 (36.747) Prec@5 65.625 (67.523) Epoch: [18][8180/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.4597 (2.6049) Prec@1 36.875 (36.746) Prec@5 71.250 (67.525) Epoch: [18][8190/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.6610 (2.6049) Prec@1 38.125 (36.744) Prec@5 65.000 (67.525) Epoch: [18][8200/11272] Time 0.875 (0.806) Data 0.001 (0.002) Loss 2.5049 (2.6049) Prec@1 41.875 (36.744) Prec@5 69.375 (67.525) Epoch: [18][8210/11272] Time 0.833 (0.806) Data 0.002 (0.002) Loss 2.7619 (2.6049) Prec@1 36.875 (36.744) Prec@5 66.250 (67.523) Epoch: [18][8220/11272] Time 0.779 (0.806) Data 0.002 (0.002) Loss 2.5243 (2.6048) Prec@1 35.625 (36.748) Prec@5 71.875 (67.524) Epoch: [18][8230/11272] Time 0.761 (0.806) Data 0.002 (0.002) Loss 2.5101 (2.6049) Prec@1 39.375 (36.747) Prec@5 70.000 (67.526) Epoch: [18][8240/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 2.6466 (2.6050) Prec@1 33.750 (36.744) Prec@5 69.375 (67.525) Epoch: [18][8250/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 2.6367 (2.6049) Prec@1 38.125 (36.744) Prec@5 65.625 (67.525) Epoch: [18][8260/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.4894 (2.6050) Prec@1 35.625 (36.745) Prec@5 70.000 (67.525) Epoch: [18][8270/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.5918 (2.6050) Prec@1 38.125 (36.746) Prec@5 70.625 (67.523) Epoch: [18][8280/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.5673 (2.6049) Prec@1 38.750 (36.747) Prec@5 70.000 (67.526) Epoch: [18][8290/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.5646 (2.6050) Prec@1 35.625 (36.745) Prec@5 65.625 (67.526) Epoch: [18][8300/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.5745 (2.6049) Prec@1 40.000 (36.746) Prec@5 68.750 (67.527) Epoch: [18][8310/11272] Time 0.903 (0.806) Data 0.002 (0.002) Loss 2.5727 (2.6050) Prec@1 35.000 (36.746) Prec@5 73.125 (67.526) Epoch: [18][8320/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.4748 (2.6050) Prec@1 40.625 (36.746) Prec@5 71.250 (67.527) Epoch: [18][8330/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.6344 (2.6050) Prec@1 33.750 (36.747) Prec@5 65.000 (67.526) Epoch: [18][8340/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.6978 (2.6050) Prec@1 35.625 (36.746) Prec@5 66.250 (67.527) Epoch: [18][8350/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.6949 (2.6049) Prec@1 35.625 (36.746) Prec@5 68.125 (67.527) Epoch: [18][8360/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.7327 (2.6050) Prec@1 31.875 (36.745) Prec@5 67.500 (67.527) Epoch: [18][8370/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.7659 (2.6050) Prec@1 37.500 (36.746) Prec@5 65.000 (67.528) Epoch: [18][8380/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.8827 (2.6050) Prec@1 28.750 (36.747) Prec@5 60.625 (67.528) Epoch: [18][8390/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.5818 (2.6049) Prec@1 33.750 (36.748) Prec@5 70.625 (67.531) Epoch: [18][8400/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.6208 (2.6049) Prec@1 36.875 (36.748) Prec@5 66.875 (67.529) Epoch: [18][8410/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.7029 (2.6049) Prec@1 32.500 (36.749) Prec@5 66.875 (67.530) Epoch: [18][8420/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 2.3078 (2.6049) Prec@1 43.125 (36.750) Prec@5 74.375 (67.531) Epoch: [18][8430/11272] Time 0.857 (0.806) Data 0.001 (0.002) Loss 2.6167 (2.6050) Prec@1 35.000 (36.748) Prec@5 71.250 (67.530) Epoch: [18][8440/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.8432 (2.6051) Prec@1 28.125 (36.748) Prec@5 60.625 (67.528) Epoch: [18][8450/11272] Time 0.706 (0.806) Data 0.001 (0.002) Loss 2.7897 (2.6051) Prec@1 34.375 (36.747) Prec@5 63.750 (67.528) Epoch: [18][8460/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.7717 (2.6052) Prec@1 33.125 (36.745) Prec@5 64.375 (67.526) Epoch: [18][8470/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.5692 (2.6052) Prec@1 33.750 (36.745) Prec@5 63.750 (67.525) Epoch: [18][8480/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.8158 (2.6051) Prec@1 33.750 (36.746) Prec@5 62.500 (67.525) Epoch: [18][8490/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.5554 (2.6052) Prec@1 36.875 (36.745) Prec@5 68.750 (67.523) Epoch: [18][8500/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.6612 (2.6053) Prec@1 35.000 (36.745) Prec@5 65.625 (67.522) Epoch: [18][8510/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.5796 (2.6053) Prec@1 35.625 (36.743) Prec@5 67.500 (67.520) Epoch: [18][8520/11272] Time 0.759 (0.806) Data 0.001 (0.002) Loss 2.7204 (2.6054) Prec@1 36.250 (36.743) Prec@5 63.750 (67.519) Epoch: [18][8530/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.6150 (2.6054) Prec@1 30.000 (36.740) Prec@5 63.125 (67.519) Epoch: [18][8540/11272] Time 0.832 (0.806) Data 0.001 (0.002) Loss 2.4995 (2.6055) Prec@1 35.625 (36.738) Prec@5 69.375 (67.518) Epoch: [18][8550/11272] Time 0.790 (0.806) Data 0.004 (0.002) Loss 2.5518 (2.6055) Prec@1 41.875 (36.739) Prec@5 68.750 (67.518) Epoch: [18][8560/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7222 (2.6055) Prec@1 34.375 (36.740) Prec@5 66.875 (67.517) Epoch: [18][8570/11272] Time 0.839 (0.806) Data 0.001 (0.002) Loss 2.6287 (2.6055) Prec@1 35.625 (36.738) Prec@5 68.125 (67.517) Epoch: [18][8580/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6728 (2.6055) Prec@1 36.875 (36.739) Prec@5 66.875 (67.518) Epoch: [18][8590/11272] Time 0.757 (0.806) Data 0.001 (0.002) Loss 2.8042 (2.6055) Prec@1 34.375 (36.737) Prec@5 62.500 (67.517) Epoch: [18][8600/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.7182 (2.6056) Prec@1 34.375 (36.737) Prec@5 66.875 (67.516) Epoch: [18][8610/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.6791 (2.6057) Prec@1 40.000 (36.738) Prec@5 67.500 (67.514) Epoch: [18][8620/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.6871 (2.6058) Prec@1 34.375 (36.738) Prec@5 65.625 (67.512) Epoch: [18][8630/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.6851 (2.6057) Prec@1 36.875 (36.740) Prec@5 67.500 (67.512) Epoch: [18][8640/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.7790 (2.6057) Prec@1 32.500 (36.741) Prec@5 64.375 (67.513) Epoch: [18][8650/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.7163 (2.6058) Prec@1 34.375 (36.740) Prec@5 65.625 (67.513) Epoch: [18][8660/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.6043 (2.6059) Prec@1 38.125 (36.738) Prec@5 67.500 (67.509) Epoch: [18][8670/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.9726 (2.6060) Prec@1 26.875 (36.736) Prec@5 58.125 (67.509) Epoch: [18][8680/11272] Time 0.894 (0.806) Data 0.001 (0.002) Loss 2.4116 (2.6059) Prec@1 42.500 (36.737) Prec@5 74.375 (67.510) Epoch: [18][8690/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 3.0512 (2.6061) Prec@1 30.000 (36.734) Prec@5 58.750 (67.508) Epoch: [18][8700/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.7273 (2.6061) Prec@1 31.875 (36.735) Prec@5 64.375 (67.509) Epoch: [18][8710/11272] Time 0.760 (0.806) Data 0.001 (0.002) Loss 2.9399 (2.6062) Prec@1 30.625 (36.734) Prec@5 60.000 (67.506) Epoch: [18][8720/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.6952 (2.6062) Prec@1 29.375 (36.732) Prec@5 63.750 (67.506) Epoch: [18][8730/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.5485 (2.6063) Prec@1 39.375 (36.730) Prec@5 66.250 (67.503) Epoch: [18][8740/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.7063 (2.6063) Prec@1 30.625 (36.731) Prec@5 60.625 (67.502) Epoch: [18][8750/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6580 (2.6064) Prec@1 34.375 (36.731) Prec@5 66.250 (67.500) Epoch: [18][8760/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.6655 (2.6064) Prec@1 39.375 (36.732) Prec@5 65.625 (67.500) Epoch: [18][8770/11272] Time 0.822 (0.806) Data 0.002 (0.002) Loss 2.6315 (2.6064) Prec@1 32.500 (36.732) Prec@5 70.000 (67.501) Epoch: [18][8780/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.3314 (2.6063) Prec@1 46.875 (36.733) Prec@5 72.500 (67.502) Epoch: [18][8790/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.4313 (2.6062) Prec@1 40.000 (36.734) Prec@5 71.250 (67.503) Epoch: [18][8800/11272] Time 0.822 (0.806) Data 0.001 (0.002) Loss 2.9096 (2.6062) Prec@1 33.125 (36.735) Prec@5 62.500 (67.503) Epoch: [18][8810/11272] Time 0.898 (0.806) Data 0.002 (0.002) Loss 2.8813 (2.6062) Prec@1 28.750 (36.733) Prec@5 64.375 (67.503) Epoch: [18][8820/11272] Time 0.765 (0.806) Data 0.002 (0.002) Loss 2.5637 (2.6063) Prec@1 39.375 (36.731) Prec@5 71.875 (67.502) Epoch: [18][8830/11272] Time 0.889 (0.806) Data 0.002 (0.002) Loss 2.8686 (2.6062) Prec@1 34.375 (36.731) Prec@5 62.500 (67.501) Epoch: [18][8840/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.8509 (2.6063) Prec@1 34.375 (36.731) Prec@5 62.500 (67.500) Epoch: [18][8850/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.5700 (2.6062) Prec@1 36.875 (36.733) Prec@5 70.625 (67.502) Epoch: [18][8860/11272] Time 0.700 (0.806) Data 0.001 (0.002) Loss 2.9293 (2.6063) Prec@1 33.125 (36.734) Prec@5 65.625 (67.502) Epoch: [18][8870/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.5524 (2.6063) Prec@1 34.375 (36.733) Prec@5 68.125 (67.502) Epoch: [18][8880/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.5726 (2.6062) Prec@1 34.375 (36.735) Prec@5 70.625 (67.505) Epoch: [18][8890/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.9733 (2.6062) Prec@1 30.625 (36.736) Prec@5 62.500 (67.503) Epoch: [18][8900/11272] Time 0.751 (0.806) Data 0.001 (0.002) Loss 2.4728 (2.6061) Prec@1 43.125 (36.738) Prec@5 67.500 (67.505) Epoch: [18][8910/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.6111 (2.6061) Prec@1 35.000 (36.739) Prec@5 70.000 (67.505) Epoch: [18][8920/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.2939 (2.6062) Prec@1 43.125 (36.736) Prec@5 71.875 (67.504) Epoch: [18][8930/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.8037 (2.6063) Prec@1 31.250 (36.735) Prec@5 61.250 (67.501) Epoch: [18][8940/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7362 (2.6064) Prec@1 30.000 (36.733) Prec@5 64.375 (67.501) Epoch: [18][8950/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.5023 (2.6064) Prec@1 39.375 (36.734) Prec@5 63.750 (67.500) Epoch: [18][8960/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 2.5440 (2.6063) Prec@1 38.125 (36.733) Prec@5 69.375 (67.501) Epoch: [18][8970/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.7035 (2.6064) Prec@1 36.250 (36.733) Prec@5 66.250 (67.499) Epoch: [18][8980/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.8387 (2.6065) Prec@1 31.250 (36.732) Prec@5 61.875 (67.498) Epoch: [18][8990/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.5570 (2.6064) Prec@1 35.000 (36.733) Prec@5 65.000 (67.499) Epoch: [18][9000/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.6163 (2.6065) Prec@1 33.750 (36.732) Prec@5 66.875 (67.499) Epoch: [18][9010/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.7493 (2.6065) Prec@1 31.875 (36.732) Prec@5 61.875 (67.498) Epoch: [18][9020/11272] Time 0.889 (0.806) Data 0.002 (0.002) Loss 2.5922 (2.6065) Prec@1 35.625 (36.732) Prec@5 68.750 (67.498) Epoch: [18][9030/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.4721 (2.6065) Prec@1 36.250 (36.733) Prec@5 71.875 (67.499) Epoch: [18][9040/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.5777 (2.6065) Prec@1 35.000 (36.732) Prec@5 71.250 (67.498) Epoch: [18][9050/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.4660 (2.6065) Prec@1 40.625 (36.734) Prec@5 65.625 (67.499) Epoch: [18][9060/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.3591 (2.6065) Prec@1 43.750 (36.735) Prec@5 68.125 (67.500) Epoch: [18][9070/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.6422 (2.6065) Prec@1 34.375 (36.735) Prec@5 65.625 (67.500) Epoch: [18][9080/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.4777 (2.6065) Prec@1 36.875 (36.736) Prec@5 69.375 (67.499) Epoch: [18][9090/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.4562 (2.6066) Prec@1 38.125 (36.733) Prec@5 66.875 (67.497) Epoch: [18][9100/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.3504 (2.6066) Prec@1 40.000 (36.736) Prec@5 72.500 (67.497) Epoch: [18][9110/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.5145 (2.6065) Prec@1 44.375 (36.740) Prec@5 70.000 (67.498) Epoch: [18][9120/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7642 (2.6065) Prec@1 30.625 (36.739) Prec@5 64.375 (67.498) Epoch: [18][9130/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.7973 (2.6064) Prec@1 29.375 (36.739) Prec@5 63.750 (67.498) Epoch: [18][9140/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.8027 (2.6064) Prec@1 33.750 (36.740) Prec@5 68.750 (67.499) Epoch: [18][9150/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6923 (2.6064) Prec@1 33.750 (36.740) Prec@5 67.500 (67.500) Epoch: [18][9160/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.6183 (2.6065) Prec@1 36.250 (36.739) Prec@5 66.875 (67.499) Epoch: [18][9170/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.2573 (2.6065) Prec@1 46.875 (36.738) Prec@5 72.500 (67.498) Epoch: [18][9180/11272] Time 0.909 (0.806) Data 0.002 (0.002) Loss 2.6331 (2.6065) Prec@1 33.125 (36.736) Prec@5 68.750 (67.498) Epoch: [18][9190/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.6089 (2.6065) Prec@1 36.250 (36.737) Prec@5 67.500 (67.499) Epoch: [18][9200/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.5656 (2.6065) Prec@1 37.500 (36.738) Prec@5 66.875 (67.498) Epoch: [18][9210/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.5811 (2.6065) Prec@1 39.375 (36.738) Prec@5 65.000 (67.499) Epoch: [18][9220/11272] Time 0.774 (0.806) Data 0.003 (0.002) Loss 2.5002 (2.6064) Prec@1 43.125 (36.741) Prec@5 70.000 (67.499) Epoch: [18][9230/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.8723 (2.6064) Prec@1 37.500 (36.743) Prec@5 63.125 (67.501) Epoch: [18][9240/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.5114 (2.6064) Prec@1 42.500 (36.743) Prec@5 69.375 (67.501) Epoch: [18][9250/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.7120 (2.6064) Prec@1 36.875 (36.744) Prec@5 65.625 (67.502) Epoch: [18][9260/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.6030 (2.6064) Prec@1 35.625 (36.744) Prec@5 68.125 (67.501) Epoch: [18][9270/11272] Time 0.726 (0.806) Data 0.002 (0.002) Loss 2.6635 (2.6064) Prec@1 40.000 (36.745) Prec@5 60.625 (67.502) Epoch: [18][9280/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.5362 (2.6064) Prec@1 37.500 (36.745) Prec@5 66.875 (67.502) Epoch: [18][9290/11272] Time 0.862 (0.806) Data 0.001 (0.002) Loss 2.5715 (2.6063) Prec@1 38.750 (36.745) Prec@5 68.750 (67.501) Epoch: [18][9300/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.3537 (2.6064) Prec@1 41.875 (36.745) Prec@5 73.125 (67.500) Epoch: [18][9310/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.7000 (2.6065) Prec@1 31.250 (36.741) Prec@5 63.750 (67.498) Epoch: [18][9320/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.6655 (2.6066) Prec@1 35.625 (36.739) Prec@5 62.500 (67.496) Epoch: [18][9330/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.6964 (2.6066) Prec@1 35.625 (36.738) Prec@5 66.875 (67.495) Epoch: [18][9340/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.4975 (2.6066) Prec@1 35.000 (36.738) Prec@5 70.625 (67.494) Epoch: [18][9350/11272] Time 0.911 (0.806) Data 0.001 (0.002) Loss 2.5674 (2.6066) Prec@1 36.875 (36.739) Prec@5 70.625 (67.494) Epoch: [18][9360/11272] Time 0.782 (0.806) Data 0.001 (0.002) Loss 2.6571 (2.6066) Prec@1 35.625 (36.740) Prec@5 68.750 (67.494) Epoch: [18][9370/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.5250 (2.6066) Prec@1 37.500 (36.741) Prec@5 68.750 (67.494) Epoch: [18][9380/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.7432 (2.6066) Prec@1 36.875 (36.741) Prec@5 65.000 (67.495) Epoch: [18][9390/11272] Time 0.863 (0.806) Data 0.001 (0.002) Loss 2.5785 (2.6066) Prec@1 34.375 (36.741) Prec@5 65.625 (67.495) Epoch: [18][9400/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.8554 (2.6067) Prec@1 31.250 (36.740) Prec@5 68.750 (67.493) Epoch: [18][9410/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.4116 (2.6068) Prec@1 40.000 (36.738) Prec@5 69.375 (67.492) Epoch: [18][9420/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.7113 (2.6068) Prec@1 40.625 (36.738) Prec@5 66.250 (67.492) Epoch: [18][9430/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.4000 (2.6067) Prec@1 43.750 (36.740) Prec@5 75.625 (67.493) Epoch: [18][9440/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.7515 (2.6068) Prec@1 38.750 (36.737) Prec@5 64.375 (67.492) Epoch: [18][9450/11272] Time 0.781 (0.806) Data 0.001 (0.002) Loss 2.6946 (2.6068) Prec@1 37.500 (36.737) Prec@5 61.875 (67.491) Epoch: [18][9460/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.3775 (2.6068) Prec@1 40.625 (36.738) Prec@5 70.000 (67.491) Epoch: [18][9470/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.9265 (2.6069) Prec@1 30.625 (36.738) Prec@5 61.250 (67.489) Epoch: [18][9480/11272] Time 0.776 (0.806) Data 0.004 (0.002) Loss 2.6820 (2.6069) Prec@1 34.375 (36.737) Prec@5 66.250 (67.489) Epoch: [18][9490/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.7622 (2.6069) Prec@1 36.875 (36.737) Prec@5 65.625 (67.489) Epoch: [18][9500/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.6196 (2.6069) Prec@1 35.000 (36.738) Prec@5 67.500 (67.489) Epoch: [18][9510/11272] Time 0.859 (0.806) Data 0.001 (0.002) Loss 2.5572 (2.6069) Prec@1 41.875 (36.737) Prec@5 65.000 (67.487) Epoch: [18][9520/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.7812 (2.6069) Prec@1 35.625 (36.738) Prec@5 62.500 (67.487) Epoch: [18][9530/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.4558 (2.6068) Prec@1 40.625 (36.740) Prec@5 72.500 (67.487) Epoch: [18][9540/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.4574 (2.6069) Prec@1 36.250 (36.739) Prec@5 68.125 (67.485) Epoch: [18][9550/11272] Time 0.897 (0.806) Data 0.002 (0.002) Loss 2.7490 (2.6069) Prec@1 35.000 (36.740) Prec@5 67.500 (67.484) Epoch: [18][9560/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.8121 (2.6069) Prec@1 32.500 (36.740) Prec@5 62.500 (67.486) Epoch: [18][9570/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.6183 (2.6070) Prec@1 36.875 (36.739) Prec@5 63.750 (67.485) Epoch: [18][9580/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.5668 (2.6070) Prec@1 36.250 (36.739) Prec@5 66.250 (67.484) Epoch: [18][9590/11272] Time 0.906 (0.806) Data 0.002 (0.002) Loss 2.7129 (2.6070) Prec@1 30.625 (36.738) Prec@5 63.750 (67.483) Epoch: [18][9600/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.6792 (2.6070) Prec@1 35.000 (36.737) Prec@5 70.000 (67.482) Epoch: [18][9610/11272] Time 0.870 (0.806) Data 0.001 (0.002) Loss 2.6757 (2.6070) Prec@1 33.125 (36.737) Prec@5 67.500 (67.481) Epoch: [18][9620/11272] Time 0.840 (0.806) Data 0.001 (0.002) Loss 2.5590 (2.6070) Prec@1 35.625 (36.737) Prec@5 68.125 (67.480) Epoch: [18][9630/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.4712 (2.6070) Prec@1 43.750 (36.739) Prec@5 70.000 (67.482) Epoch: [18][9640/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.5449 (2.6071) Prec@1 34.375 (36.737) Prec@5 68.125 (67.480) Epoch: [18][9650/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.6233 (2.6071) Prec@1 38.125 (36.739) Prec@5 67.500 (67.478) Epoch: [18][9660/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.8023 (2.6071) Prec@1 32.500 (36.740) Prec@5 63.125 (67.478) Epoch: [18][9670/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.6565 (2.6071) Prec@1 39.375 (36.740) Prec@5 68.125 (67.477) Epoch: [18][9680/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.7645 (2.6071) Prec@1 38.125 (36.741) Prec@5 61.875 (67.477) Epoch: [18][9690/11272] Time 0.874 (0.806) Data 0.001 (0.002) Loss 2.7501 (2.6071) Prec@1 31.250 (36.741) Prec@5 67.500 (67.478) Epoch: [18][9700/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.4998 (2.6072) Prec@1 36.875 (36.738) Prec@5 70.000 (67.477) Epoch: [18][9710/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.4422 (2.6071) Prec@1 40.000 (36.739) Prec@5 71.250 (67.480) Epoch: [18][9720/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.6755 (2.6071) Prec@1 35.000 (36.738) Prec@5 61.250 (67.479) Epoch: [18][9730/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.3971 (2.6071) Prec@1 34.375 (36.738) Prec@5 76.875 (67.480) Epoch: [18][9740/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.5897 (2.6071) Prec@1 37.500 (36.739) Prec@5 67.500 (67.479) Epoch: [18][9750/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7395 (2.6071) Prec@1 29.375 (36.739) Prec@5 65.625 (67.479) Epoch: [18][9760/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.6123 (2.6071) Prec@1 32.500 (36.737) Prec@5 66.875 (67.479) Epoch: [18][9770/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.5637 (2.6072) Prec@1 34.375 (36.738) Prec@5 63.750 (67.478) Epoch: [18][9780/11272] Time 0.767 (0.806) Data 0.002 (0.002) Loss 2.5069 (2.6071) Prec@1 36.875 (36.739) Prec@5 71.875 (67.479) Epoch: [18][9790/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.3653 (2.6072) Prec@1 42.500 (36.737) Prec@5 72.500 (67.479) Epoch: [18][9800/11272] Time 0.856 (0.806) Data 0.002 (0.002) Loss 2.5723 (2.6071) Prec@1 40.625 (36.737) Prec@5 64.375 (67.479) Epoch: [18][9810/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.7761 (2.6072) Prec@1 35.000 (36.736) Prec@5 63.750 (67.478) Epoch: [18][9820/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.6482 (2.6073) Prec@1 36.875 (36.734) Prec@5 65.000 (67.475) Epoch: [18][9830/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.6110 (2.6074) Prec@1 40.000 (36.732) Prec@5 64.375 (67.474) Epoch: [18][9840/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.6433 (2.6074) Prec@1 33.750 (36.731) Prec@5 64.375 (67.475) Epoch: [18][9850/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.7745 (2.6075) Prec@1 33.125 (36.729) Prec@5 63.125 (67.474) Epoch: [18][9860/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.5831 (2.6075) Prec@1 38.750 (36.730) Prec@5 73.125 (67.474) Epoch: [18][9870/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.7805 (2.6074) Prec@1 31.250 (36.732) Prec@5 66.250 (67.477) Epoch: [18][9880/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 2.5854 (2.6075) Prec@1 37.500 (36.729) Prec@5 68.125 (67.474) Epoch: [18][9890/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.5082 (2.6075) Prec@1 41.250 (36.729) Prec@5 66.875 (67.475) Epoch: [18][9900/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7623 (2.6076) Prec@1 33.125 (36.726) Prec@5 56.875 (67.472) Epoch: [18][9910/11272] Time 0.915 (0.806) Data 0.002 (0.002) Loss 2.8018 (2.6076) Prec@1 34.375 (36.726) Prec@5 64.375 (67.474) Epoch: [18][9920/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.4040 (2.6075) Prec@1 43.750 (36.728) Prec@5 73.750 (67.476) Epoch: [18][9930/11272] Time 0.757 (0.806) Data 0.001 (0.002) Loss 2.5852 (2.6075) Prec@1 41.250 (36.729) Prec@5 64.375 (67.475) Epoch: [18][9940/11272] Time 0.731 (0.806) Data 0.002 (0.002) Loss 2.5305 (2.6075) Prec@1 37.500 (36.730) Prec@5 70.000 (67.477) Epoch: [18][9950/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.7253 (2.6075) Prec@1 35.000 (36.730) Prec@5 65.000 (67.478) Epoch: [18][9960/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.5024 (2.6075) Prec@1 40.625 (36.730) Prec@5 68.750 (67.476) Epoch: [18][9970/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.7544 (2.6075) Prec@1 41.875 (36.731) Prec@5 62.500 (67.477) Epoch: [18][9980/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.6285 (2.6075) Prec@1 32.500 (36.730) Prec@5 68.125 (67.475) Epoch: [18][9990/11272] Time 0.837 (0.806) Data 0.002 (0.002) Loss 2.2858 (2.6076) Prec@1 44.375 (36.731) Prec@5 74.375 (67.474) Epoch: [18][10000/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.7120 (2.6076) Prec@1 30.625 (36.731) Prec@5 63.750 (67.474) Epoch: [18][10010/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.5379 (2.6075) Prec@1 38.750 (36.731) Prec@5 71.250 (67.474) Epoch: [18][10020/11272] Time 0.835 (0.806) Data 0.001 (0.002) Loss 2.8676 (2.6076) Prec@1 27.500 (36.731) Prec@5 65.000 (67.473) Epoch: [18][10030/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.7242 (2.6076) Prec@1 35.000 (36.729) Prec@5 61.875 (67.472) Epoch: [18][10040/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.7279 (2.6076) Prec@1 37.500 (36.729) Prec@5 66.875 (67.472) Epoch: [18][10050/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.5979 (2.6077) Prec@1 36.250 (36.729) Prec@5 65.000 (67.472) Epoch: [18][10060/11272] Time 0.908 (0.806) Data 0.003 (0.002) Loss 2.5056 (2.6077) Prec@1 35.625 (36.728) Prec@5 71.875 (67.471) Epoch: [18][10070/11272] Time 0.841 (0.806) Data 0.001 (0.002) Loss 2.9560 (2.6078) Prec@1 33.750 (36.727) Prec@5 60.625 (67.470) Epoch: [18][10080/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 2.6620 (2.6078) Prec@1 32.500 (36.724) Prec@5 68.750 (67.471) Epoch: [18][10090/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.6034 (2.6078) Prec@1 35.000 (36.724) Prec@5 67.500 (67.471) Epoch: [18][10100/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.5025 (2.6078) Prec@1 36.875 (36.723) Prec@5 66.875 (67.471) Epoch: [18][10110/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.7246 (2.6078) Prec@1 36.875 (36.723) Prec@5 65.000 (67.470) Epoch: [18][10120/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 2.6749 (2.6079) Prec@1 39.375 (36.722) Prec@5 67.500 (67.468) Epoch: [18][10130/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.7795 (2.6079) Prec@1 33.125 (36.722) Prec@5 63.750 (67.467) Epoch: [18][10140/11272] Time 0.838 (0.806) Data 0.001 (0.002) Loss 2.5772 (2.6080) Prec@1 32.500 (36.720) Prec@5 68.750 (67.466) Epoch: [18][10150/11272] Time 0.760 (0.806) Data 0.003 (0.002) Loss 2.4859 (2.6079) Prec@1 38.750 (36.722) Prec@5 68.750 (67.467) Epoch: [18][10160/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.7186 (2.6080) Prec@1 31.250 (36.720) Prec@5 66.250 (67.467) Epoch: [18][10170/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.5275 (2.6081) Prec@1 36.875 (36.718) Prec@5 68.750 (67.465) Epoch: [18][10180/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 2.6777 (2.6081) Prec@1 35.625 (36.718) Prec@5 69.375 (67.466) Epoch: [18][10190/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.5311 (2.6081) Prec@1 31.250 (36.717) Prec@5 70.625 (67.464) Epoch: [18][10200/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.4387 (2.6082) Prec@1 40.000 (36.715) Prec@5 66.250 (67.461) Epoch: [18][10210/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.4750 (2.6082) Prec@1 43.125 (36.716) Prec@5 66.875 (67.463) Epoch: [18][10220/11272] Time 0.811 (0.806) Data 0.001 (0.002) Loss 2.6978 (2.6082) Prec@1 30.625 (36.716) Prec@5 67.500 (67.462) Epoch: [18][10230/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6709 (2.6082) Prec@1 35.625 (36.716) Prec@5 65.625 (67.461) Epoch: [18][10240/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.4096 (2.6082) Prec@1 43.125 (36.716) Prec@5 68.750 (67.459) Epoch: [18][10250/11272] Time 0.839 (0.806) Data 0.001 (0.002) Loss 2.9604 (2.6083) Prec@1 35.000 (36.716) Prec@5 61.250 (67.458) Epoch: [18][10260/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.3709 (2.6082) Prec@1 44.375 (36.718) Prec@5 70.625 (67.460) Epoch: [18][10270/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6483 (2.6082) Prec@1 31.875 (36.717) Prec@5 70.000 (67.460) Epoch: [18][10280/11272] Time 0.881 (0.806) Data 0.001 (0.002) Loss 2.7054 (2.6083) Prec@1 34.375 (36.714) Prec@5 63.125 (67.459) Epoch: [18][10290/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.7180 (2.6083) Prec@1 39.375 (36.716) Prec@5 66.875 (67.459) Epoch: [18][10300/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.5550 (2.6083) Prec@1 40.000 (36.715) Prec@5 67.500 (67.460) Epoch: [18][10310/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7872 (2.6083) Prec@1 31.250 (36.714) Prec@5 63.750 (67.459) Epoch: [18][10320/11272] Time 0.819 (0.806) Data 0.002 (0.002) Loss 2.7272 (2.6083) Prec@1 35.000 (36.714) Prec@5 65.625 (67.458) Epoch: [18][10330/11272] Time 0.926 (0.806) Data 0.001 (0.002) Loss 2.6506 (2.6083) Prec@1 39.375 (36.713) Prec@5 63.750 (67.458) Epoch: [18][10340/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.7775 (2.6083) Prec@1 30.625 (36.713) Prec@5 68.125 (67.457) Epoch: [18][10350/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.8026 (2.6083) Prec@1 34.375 (36.713) Prec@5 64.375 (67.456) Epoch: [18][10360/11272] Time 0.884 (0.806) Data 0.002 (0.002) Loss 2.6911 (2.6084) Prec@1 37.500 (36.713) Prec@5 65.000 (67.456) Epoch: [18][10370/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.5100 (2.6083) Prec@1 40.625 (36.713) Prec@5 68.125 (67.458) Epoch: [18][10380/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.4751 (2.6083) Prec@1 41.875 (36.713) Prec@5 67.500 (67.458) Epoch: [18][10390/11272] Time 0.763 (0.806) Data 0.002 (0.002) Loss 2.7564 (2.6082) Prec@1 33.750 (36.713) Prec@5 65.625 (67.460) Epoch: [18][10400/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.7294 (2.6083) Prec@1 35.000 (36.713) Prec@5 65.000 (67.458) Epoch: [18][10410/11272] Time 0.749 (0.806) Data 0.003 (0.002) Loss 2.4939 (2.6082) Prec@1 41.250 (36.713) Prec@5 68.125 (67.459) Epoch: [18][10420/11272] Time 0.718 (0.806) Data 0.001 (0.002) Loss 2.4586 (2.6082) Prec@1 38.750 (36.713) Prec@5 72.500 (67.461) Epoch: [18][10430/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.8229 (2.6083) Prec@1 35.000 (36.713) Prec@5 64.375 (67.459) Epoch: [18][10440/11272] Time 0.838 (0.806) Data 0.001 (0.002) Loss 2.5447 (2.6083) Prec@1 38.125 (36.712) Prec@5 68.125 (67.459) Epoch: [18][10450/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.7461 (2.6083) Prec@1 30.000 (36.712) Prec@5 65.000 (67.458) Epoch: [18][10460/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 2.7157 (2.6083) Prec@1 33.750 (36.709) Prec@5 65.000 (67.457) Epoch: [18][10470/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.8333 (2.6085) Prec@1 37.500 (36.707) Prec@5 61.875 (67.455) Epoch: [18][10480/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.6312 (2.6085) Prec@1 35.625 (36.706) Prec@5 67.500 (67.456) Epoch: [18][10490/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7133 (2.6085) Prec@1 34.375 (36.705) Prec@5 65.625 (67.455) Epoch: [18][10500/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.7780 (2.6086) Prec@1 39.375 (36.702) Prec@5 66.250 (67.454) Epoch: [18][10510/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.5147 (2.6086) Prec@1 38.125 (36.702) Prec@5 75.000 (67.452) Epoch: [18][10520/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 3.0081 (2.6087) Prec@1 31.875 (36.701) Prec@5 63.750 (67.451) Epoch: [18][10530/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.8714 (2.6087) Prec@1 28.125 (36.701) Prec@5 66.250 (67.451) Epoch: [18][10540/11272] Time 0.830 (0.806) Data 0.001 (0.002) Loss 2.6490 (2.6087) Prec@1 38.750 (36.701) Prec@5 68.750 (67.451) Epoch: [18][10550/11272] Time 0.884 (0.806) Data 0.002 (0.002) Loss 2.7400 (2.6087) Prec@1 29.375 (36.700) Prec@5 65.625 (67.452) Epoch: [18][10560/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.8292 (2.6087) Prec@1 34.375 (36.700) Prec@5 66.250 (67.452) Epoch: [18][10570/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.4694 (2.6086) Prec@1 40.000 (36.702) Prec@5 73.125 (67.455) Epoch: [18][10580/11272] Time 0.906 (0.806) Data 0.002 (0.002) Loss 2.6250 (2.6086) Prec@1 40.000 (36.701) Prec@5 66.250 (67.455) Epoch: [18][10590/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6045 (2.6086) Prec@1 40.000 (36.702) Prec@5 65.000 (67.455) Epoch: [18][10600/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.4438 (2.6086) Prec@1 41.875 (36.702) Prec@5 70.625 (67.455) Epoch: [18][10610/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5609 (2.6086) Prec@1 38.125 (36.703) Prec@5 64.375 (67.454) Epoch: [18][10620/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 2.5867 (2.6087) Prec@1 40.625 (36.704) Prec@5 68.125 (67.453) Epoch: [18][10630/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.5930 (2.6087) Prec@1 35.625 (36.704) Prec@5 67.500 (67.452) Epoch: [18][10640/11272] Time 0.706 (0.806) Data 0.001 (0.002) Loss 2.7028 (2.6087) Prec@1 32.500 (36.702) Prec@5 68.750 (67.452) Epoch: [18][10650/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.5124 (2.6087) Prec@1 38.750 (36.702) Prec@5 66.875 (67.452) Epoch: [18][10660/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.7036 (2.6086) Prec@1 36.250 (36.705) Prec@5 65.625 (67.454) Epoch: [18][10670/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.7587 (2.6086) Prec@1 32.500 (36.703) Prec@5 66.875 (67.454) Epoch: [18][10680/11272] Time 0.756 (0.806) Data 0.002 (0.002) Loss 2.5263 (2.6086) Prec@1 39.375 (36.704) Prec@5 68.125 (67.455) Epoch: [18][10690/11272] Time 0.892 (0.806) Data 0.001 (0.002) Loss 2.6932 (2.6086) Prec@1 37.500 (36.703) Prec@5 63.750 (67.454) Epoch: [18][10700/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.6190 (2.6086) Prec@1 35.625 (36.702) Prec@5 65.000 (67.453) Epoch: [18][10710/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.6914 (2.6086) Prec@1 35.625 (36.702) Prec@5 68.125 (67.454) Epoch: [18][10720/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.2596 (2.6086) Prec@1 39.375 (36.703) Prec@5 75.000 (67.455) Epoch: [18][10730/11272] Time 0.911 (0.806) Data 0.002 (0.002) Loss 2.7899 (2.6087) Prec@1 33.125 (36.703) Prec@5 61.875 (67.454) Epoch: [18][10740/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.6917 (2.6087) Prec@1 31.250 (36.703) Prec@5 67.500 (67.452) Epoch: [18][10750/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.4635 (2.6086) Prec@1 36.250 (36.705) Prec@5 71.250 (67.454) Epoch: [18][10760/11272] Time 0.723 (0.806) Data 0.002 (0.002) Loss 2.3379 (2.6086) Prec@1 44.375 (36.704) Prec@5 70.000 (67.454) Epoch: [18][10770/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.6127 (2.6086) Prec@1 36.250 (36.705) Prec@5 63.125 (67.453) Epoch: [18][10780/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.5110 (2.6085) Prec@1 38.750 (36.706) Prec@5 67.500 (67.455) Epoch: [18][10790/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.4343 (2.6085) Prec@1 45.625 (36.707) Prec@5 73.750 (67.455) Epoch: [18][10800/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.5016 (2.6084) Prec@1 41.875 (36.708) Prec@5 70.000 (67.458) Epoch: [18][10810/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.5703 (2.6084) Prec@1 38.125 (36.708) Prec@5 67.500 (67.457) Epoch: [18][10820/11272] Time 0.784 (0.806) Data 0.001 (0.002) Loss 2.4300 (2.6084) Prec@1 42.500 (36.709) Prec@5 65.625 (67.457) Epoch: [18][10830/11272] Time 0.707 (0.806) Data 0.001 (0.002) Loss 2.6257 (2.6083) Prec@1 38.125 (36.711) Prec@5 73.125 (67.460) Epoch: [18][10840/11272] Time 0.987 (0.806) Data 0.002 (0.002) Loss 2.5675 (2.6083) Prec@1 36.875 (36.711) Prec@5 68.750 (67.461) Epoch: [18][10850/11272] Time 0.898 (0.806) Data 0.001 (0.002) Loss 2.6464 (2.6083) Prec@1 30.625 (36.711) Prec@5 66.250 (67.462) Epoch: [18][10860/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7796 (2.6082) Prec@1 35.625 (36.712) Prec@5 65.000 (67.463) Epoch: [18][10870/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.5980 (2.6082) Prec@1 36.250 (36.712) Prec@5 66.875 (67.463) Epoch: [18][10880/11272] Time 0.856 (0.806) Data 0.003 (0.002) Loss 2.3880 (2.6082) Prec@1 35.625 (36.711) Prec@5 76.250 (67.463) Epoch: [18][10890/11272] Time 0.889 (0.806) Data 0.002 (0.002) Loss 2.3944 (2.6081) Prec@1 43.125 (36.710) Prec@5 70.625 (67.464) Epoch: [18][10900/11272] Time 0.712 (0.806) Data 0.001 (0.002) Loss 2.8087 (2.6081) Prec@1 33.125 (36.710) Prec@5 67.500 (67.464) Epoch: [18][10910/11272] Time 0.717 (0.806) Data 0.001 (0.002) Loss 2.6388 (2.6081) Prec@1 39.375 (36.710) Prec@5 66.875 (67.464) Epoch: [18][10920/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.7052 (2.6081) Prec@1 36.875 (36.711) Prec@5 64.375 (67.465) Epoch: [18][10930/11272] Time 0.879 (0.806) Data 0.001 (0.002) Loss 2.6841 (2.6081) Prec@1 38.750 (36.710) Prec@5 63.125 (67.466) Epoch: [18][10940/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.6104 (2.6080) Prec@1 33.750 (36.711) Prec@5 70.625 (67.468) Epoch: [18][10950/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.6973 (2.6080) Prec@1 41.250 (36.711) Prec@5 65.625 (67.468) Epoch: [18][10960/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.4509 (2.6080) Prec@1 38.125 (36.712) Prec@5 70.000 (67.468) Epoch: [18][10970/11272] Time 0.765 (0.806) Data 0.001 (0.002) Loss 2.7673 (2.6080) Prec@1 29.375 (36.711) Prec@5 61.875 (67.467) Epoch: [18][10980/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.7882 (2.6080) Prec@1 39.375 (36.711) Prec@5 64.375 (67.468) Epoch: [18][10990/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.4551 (2.6081) Prec@1 37.500 (36.711) Prec@5 73.125 (67.466) Epoch: [18][11000/11272] Time 0.866 (0.806) Data 0.001 (0.002) Loss 2.7009 (2.6081) Prec@1 35.000 (36.710) Prec@5 68.750 (67.466) Epoch: [18][11010/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.5608 (2.6081) Prec@1 37.500 (36.711) Prec@5 65.625 (67.466) Epoch: [18][11020/11272] Time 0.741 (0.806) Data 0.002 (0.002) Loss 2.6189 (2.6081) Prec@1 40.000 (36.713) Prec@5 64.375 (67.467) Epoch: [18][11030/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.7345 (2.6081) Prec@1 36.250 (36.713) Prec@5 60.625 (67.467) Epoch: [18][11040/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 2.5053 (2.6080) Prec@1 34.375 (36.712) Prec@5 70.000 (67.467) Epoch: [18][11050/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.5248 (2.6081) Prec@1 38.125 (36.712) Prec@5 67.500 (67.466) Epoch: [18][11060/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.6346 (2.6081) Prec@1 36.875 (36.714) Prec@5 66.875 (67.467) Epoch: [18][11070/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.7869 (2.6081) Prec@1 38.750 (36.714) Prec@5 60.625 (67.464) Epoch: [18][11080/11272] Time 0.826 (0.806) Data 0.004 (0.002) Loss 2.6088 (2.6081) Prec@1 40.625 (36.715) Prec@5 70.625 (67.464) Epoch: [18][11090/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.9719 (2.6082) Prec@1 26.875 (36.714) Prec@5 56.875 (67.464) Epoch: [18][11100/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.7349 (2.6082) Prec@1 40.625 (36.714) Prec@5 63.750 (67.464) Epoch: [18][11110/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 2.5741 (2.6083) Prec@1 42.500 (36.713) Prec@5 68.750 (67.463) Epoch: [18][11120/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.6185 (2.6083) Prec@1 36.250 (36.713) Prec@5 67.500 (67.465) Epoch: [18][11130/11272] Time 0.751 (0.806) Data 0.001 (0.002) Loss 2.4515 (2.6083) Prec@1 41.250 (36.713) Prec@5 71.250 (67.465) Epoch: [18][11140/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.5566 (2.6082) Prec@1 36.250 (36.714) Prec@5 63.750 (67.466) Epoch: [18][11150/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.6579 (2.6082) Prec@1 33.750 (36.714) Prec@5 67.500 (67.467) Epoch: [18][11160/11272] Time 0.765 (0.806) Data 0.002 (0.002) Loss 2.7020 (2.6083) Prec@1 34.375 (36.713) Prec@5 66.875 (67.465) Epoch: [18][11170/11272] Time 0.752 (0.806) Data 0.001 (0.002) Loss 2.7050 (2.6083) Prec@1 38.750 (36.712) Prec@5 63.125 (67.465) Epoch: [18][11180/11272] Time 0.918 (0.806) Data 0.002 (0.002) Loss 2.7418 (2.6082) Prec@1 34.375 (36.713) Prec@5 65.000 (67.466) Epoch: [18][11190/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.4391 (2.6082) Prec@1 40.000 (36.714) Prec@5 70.625 (67.466) Epoch: [18][11200/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.7358 (2.6083) Prec@1 31.875 (36.713) Prec@5 66.875 (67.465) Epoch: [18][11210/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.5821 (2.6083) Prec@1 41.875 (36.714) Prec@5 66.250 (67.465) Epoch: [18][11220/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.7359 (2.6083) Prec@1 36.250 (36.714) Prec@5 69.375 (67.466) Epoch: [18][11230/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.4430 (2.6083) Prec@1 40.625 (36.715) Prec@5 69.375 (67.466) Epoch: [18][11240/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.5170 (2.6083) Prec@1 37.500 (36.714) Prec@5 68.125 (67.465) Epoch: [18][11250/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 2.7140 (2.6083) Prec@1 31.250 (36.713) Prec@5 65.625 (67.465) Epoch: [18][11260/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.3689 (2.6083) Prec@1 36.875 (36.714) Prec@5 74.375 (67.465) Epoch: [18][11270/11272] Time 0.757 (0.806) Data 0.000 (0.002) Loss 2.5245 (2.6083) Prec@1 38.125 (36.714) Prec@5 67.500 (67.465) Test: [0/229] Time 1.226 (1.226) Loss 1.4420 (1.4420) Prec@1 53.750 (53.750) Prec@5 93.750 (93.750) Test: [10/229] Time 0.447 (0.474) Loss 1.2520 (2.1896) Prec@1 60.000 (40.568) Prec@5 95.625 (79.716) Test: [20/229] Time 0.352 (0.425) Loss 2.6887 (2.2535) Prec@1 33.750 (41.577) Prec@5 63.125 (75.982) Test: [30/229] Time 0.431 (0.418) Loss 2.4860 (2.1760) Prec@1 35.000 (43.690) Prec@5 73.125 (76.774) Test: [40/229] Time 0.353 (0.407) Loss 0.7606 (2.1564) Prec@1 83.750 (44.101) Prec@5 90.625 (76.982) Test: [50/229] Time 0.359 (0.403) Loss 2.6242 (2.2159) Prec@1 28.125 (43.125) Prec@5 72.500 (75.613) Test: [60/229] Time 0.426 (0.401) Loss 2.7679 (2.2125) Prec@1 30.000 (43.443) Prec@5 65.625 (75.512) Test: [70/229] Time 0.331 (0.399) Loss 1.8459 (2.2267) Prec@1 56.875 (43.310) Prec@5 80.000 (75.317) Test: [80/229] Time 0.442 (0.397) Loss 2.9830 (2.2531) Prec@1 22.500 (42.639) Prec@5 61.250 (75.100) Test: [90/229] Time 0.383 (0.398) Loss 2.2690 (2.2469) Prec@1 50.000 (42.740) Prec@5 75.000 (75.391) Test: [100/229] Time 0.414 (0.397) Loss 2.2991 (2.2386) Prec@1 39.375 (42.896) Prec@5 76.875 (75.668) Test: [110/229] Time 0.431 (0.396) Loss 1.6403 (2.2194) Prec@1 55.000 (43.463) Prec@5 88.125 (76.047) Test: [120/229] Time 0.342 (0.394) Loss 3.4034 (2.2446) Prec@1 17.500 (42.991) Prec@5 56.250 (75.666) Test: [130/229] Time 0.426 (0.393) Loss 1.9191 (2.2258) Prec@1 50.625 (43.311) Prec@5 75.000 (75.916) Test: [140/229] Time 0.349 (0.393) Loss 3.8521 (2.2618) Prec@1 18.750 (42.434) Prec@5 45.625 (75.315) Test: [150/229] Time 0.440 (0.392) Loss 1.4903 (2.2833) Prec@1 68.125 (42.016) Prec@5 86.875 (75.029) Test: [160/229] Time 0.342 (0.392) Loss 2.5960 (2.2861) Prec@1 40.625 (42.003) Prec@5 78.125 (75.000) Test: [170/229] Time 0.340 (0.391) Loss 2.1854 (2.3088) Prec@1 46.250 (41.444) Prec@5 78.125 (74.664) Test: [180/229] Time 0.392 (0.392) Loss 3.5250 (2.3183) Prec@1 21.250 (41.357) Prec@5 38.125 (74.327) Test: [190/229] Time 0.387 (0.391) Loss 1.9223 (2.3094) Prec@1 52.500 (41.708) Prec@5 86.875 (74.431) Test: [200/229] Time 0.412 (0.391) Loss 3.1112 (2.3006) Prec@1 27.500 (41.878) Prec@5 56.250 (74.692) Test: [210/229] Time 0.333 (0.390) Loss 1.7039 (2.2894) Prec@1 49.375 (42.053) Prec@5 86.250 (74.887) Test: [220/229] Time 0.450 (0.391) Loss 2.0254 (2.2731) Prec@1 43.750 (42.545) Prec@5 81.250 (75.090) * Prec@1 42.895 Prec@5 75.234 Epoch: [19][0/11272] Time 2.863 (2.863) Data 1.903 (1.903) Loss 2.8387 (2.8387) Prec@1 31.250 (31.250) Prec@5 65.625 (65.625) Epoch: [19][10/11272] Time 0.732 (0.983) Data 0.001 (0.174) Loss 2.5560 (2.5827) Prec@1 38.125 (36.193) Prec@5 66.875 (67.273) Epoch: [19][20/11272] Time 0.863 (0.894) Data 0.002 (0.092) Loss 2.8509 (2.5930) Prec@1 31.250 (36.756) Prec@5 61.875 (67.649) Epoch: [19][30/11272] Time 0.873 (0.863) Data 0.002 (0.063) Loss 2.6945 (2.6011) Prec@1 33.125 (36.613) Prec@5 70.000 (67.540) Epoch: [19][40/11272] Time 0.742 (0.852) Data 0.002 (0.048) Loss 2.8406 (2.6192) Prec@1 31.250 (36.220) Prec@5 61.875 (67.195) Epoch: [19][50/11272] Time 0.741 (0.841) Data 0.001 (0.039) Loss 2.3910 (2.6019) Prec@1 41.250 (36.532) Prec@5 70.000 (67.451) Epoch: [19][60/11272] Time 0.854 (0.836) Data 0.001 (0.033) Loss 2.4827 (2.6058) Prec@1 38.125 (36.527) Prec@5 70.000 (67.367) Epoch: [19][70/11272] Time 0.869 (0.831) Data 0.002 (0.028) Loss 2.6865 (2.6055) Prec@1 32.500 (36.373) Prec@5 63.750 (67.438) Epoch: [19][80/11272] Time 0.723 (0.827) Data 0.001 (0.025) Loss 2.6989 (2.6029) Prec@1 35.000 (36.520) Prec@5 63.125 (67.461) Epoch: [19][90/11272] Time 0.755 (0.825) Data 0.001 (0.022) Loss 2.6595 (2.5967) Prec@1 36.250 (36.703) Prec@5 68.125 (67.562) Epoch: [19][100/11272] Time 0.857 (0.823) Data 0.002 (0.020) Loss 2.5071 (2.5909) Prec@1 38.125 (36.745) Prec@5 71.875 (67.791) Epoch: [19][110/11272] Time 0.837 (0.821) Data 0.002 (0.019) Loss 2.8479 (2.5957) Prec@1 35.625 (36.734) Prec@5 61.250 (67.872) Epoch: [19][120/11272] Time 0.733 (0.819) Data 0.001 (0.017) Loss 2.7544 (2.5952) Prec@1 33.125 (36.725) Prec@5 63.750 (67.831) Epoch: [19][130/11272] Time 0.852 (0.819) Data 0.001 (0.016) Loss 2.7029 (2.5941) Prec@1 35.625 (36.846) Prec@5 66.875 (67.863) Epoch: [19][140/11272] Time 0.862 (0.817) Data 0.002 (0.015) Loss 2.7386 (2.5950) Prec@1 31.875 (36.693) Prec@5 61.250 (67.872) Epoch: [19][150/11272] Time 0.727 (0.816) Data 0.001 (0.014) Loss 2.7272 (2.5917) Prec@1 31.875 (36.701) Prec@5 64.375 (67.831) Epoch: [19][160/11272] Time 0.760 (0.816) Data 0.002 (0.013) Loss 2.6270 (2.5867) Prec@1 35.000 (36.735) Prec@5 66.875 (67.993) Epoch: [19][170/11272] Time 0.860 (0.816) Data 0.002 (0.013) Loss 2.6159 (2.5874) Prec@1 36.250 (36.765) Prec@5 66.250 (68.034) Epoch: [19][180/11272] Time 0.904 (0.815) Data 0.002 (0.012) Loss 2.4720 (2.5857) Prec@1 40.000 (36.868) Prec@5 68.750 (68.025) Epoch: [19][190/11272] Time 0.730 (0.814) Data 0.001 (0.012) Loss 2.5715 (2.5848) Prec@1 36.875 (36.875) Prec@5 68.125 (68.024) Epoch: [19][200/11272] Time 0.725 (0.813) Data 0.001 (0.011) Loss 2.5872 (2.5804) Prec@1 38.125 (36.975) Prec@5 68.125 (68.085) Epoch: [19][210/11272] Time 0.909 (0.813) Data 0.002 (0.011) Loss 2.3560 (2.5806) Prec@1 42.500 (36.999) Prec@5 70.625 (68.057) Epoch: [19][220/11272] Time 0.881 (0.813) Data 0.002 (0.010) Loss 2.7272 (2.5794) Prec@1 33.750 (36.997) Prec@5 65.625 (68.049) Epoch: [19][230/11272] Time 0.842 (0.813) Data 0.002 (0.010) Loss 2.6403 (2.5819) Prec@1 32.500 (36.989) Prec@5 67.500 (68.011) Epoch: [19][240/11272] Time 0.728 (0.813) Data 0.001 (0.010) Loss 2.5717 (2.5828) Prec@1 39.375 (36.976) Prec@5 66.875 (67.985) Epoch: [19][250/11272] Time 0.840 (0.813) Data 0.002 (0.009) Loss 2.5303 (2.5845) Prec@1 36.875 (36.915) Prec@5 66.875 (67.923) Epoch: [19][260/11272] Time 0.839 (0.812) Data 0.002 (0.009) Loss 2.7414 (2.5853) Prec@1 30.625 (36.853) Prec@5 65.000 (67.926) Epoch: [19][270/11272] Time 0.735 (0.812) Data 0.001 (0.009) Loss 2.6470 (2.5852) Prec@1 37.500 (36.873) Prec@5 66.875 (67.915) Epoch: [19][280/11272] Time 0.885 (0.812) Data 0.002 (0.008) Loss 2.5354 (2.5854) Prec@1 40.000 (36.857) Prec@5 66.875 (67.889) Epoch: [19][290/11272] Time 0.885 (0.812) Data 0.002 (0.008) Loss 2.4200 (2.5860) Prec@1 38.750 (36.890) Prec@5 74.375 (67.854) Epoch: [19][300/11272] Time 0.734 (0.811) Data 0.001 (0.008) Loss 2.7433 (2.5864) Prec@1 31.875 (36.865) Prec@5 67.500 (67.847) Epoch: [19][310/11272] Time 0.722 (0.811) Data 0.001 (0.008) Loss 2.4506 (2.5853) Prec@1 43.750 (36.911) Prec@5 70.000 (67.868) Epoch: [19][320/11272] Time 0.876 (0.811) Data 0.001 (0.008) Loss 2.6264 (2.5882) Prec@1 32.500 (36.854) Prec@5 68.750 (67.854) Epoch: [19][330/11272] Time 0.877 (0.811) Data 0.002 (0.007) Loss 2.6966 (2.5891) Prec@1 37.500 (36.881) Prec@5 68.125 (67.861) Epoch: [19][340/11272] Time 0.745 (0.811) Data 0.001 (0.007) Loss 2.6492 (2.5883) Prec@1 35.625 (36.901) Prec@5 70.625 (67.879) Epoch: [19][350/11272] Time 0.733 (0.810) Data 0.001 (0.007) Loss 2.5822 (2.5891) Prec@1 34.375 (36.907) Prec@5 68.125 (67.838) Epoch: [19][360/11272] Time 0.867 (0.811) Data 0.002 (0.007) Loss 2.3891 (2.5873) Prec@1 45.000 (36.989) Prec@5 70.625 (67.877) Epoch: [19][370/11272] Time 0.876 (0.811) Data 0.002 (0.007) Loss 2.6498 (2.5903) Prec@1 38.750 (36.936) Prec@5 70.625 (67.800) Epoch: [19][380/11272] Time 0.727 (0.810) Data 0.001 (0.007) Loss 2.5546 (2.5906) Prec@1 36.875 (36.927) Prec@5 68.750 (67.787) Epoch: [19][390/11272] Time 0.730 (0.810) Data 0.001 (0.006) Loss 2.3320 (2.5883) Prec@1 43.125 (36.969) Prec@5 73.125 (67.796) Epoch: [19][400/11272] Time 0.892 (0.810) Data 0.002 (0.006) Loss 2.5006 (2.5900) Prec@1 44.375 (36.944) Prec@5 70.000 (67.771) Epoch: [19][410/11272] Time 0.725 (0.809) Data 0.002 (0.006) Loss 2.5615 (2.5900) Prec@1 40.000 (36.983) Prec@5 65.625 (67.743) Epoch: [19][420/11272] Time 0.743 (0.809) Data 0.001 (0.006) Loss 2.3995 (2.5885) Prec@1 41.250 (37.025) Prec@5 71.875 (67.773) Epoch: [19][430/11272] Time 0.864 (0.809) Data 0.001 (0.006) Loss 2.4636 (2.5890) Prec@1 36.250 (37.000) Prec@5 73.750 (67.780) Epoch: [19][440/11272] Time 0.900 (0.809) Data 0.002 (0.006) Loss 2.7359 (2.5884) Prec@1 35.625 (37.012) Prec@5 62.500 (67.832) Epoch: [19][450/11272] Time 0.755 (0.809) Data 0.001 (0.006) Loss 2.5099 (2.5884) Prec@1 39.375 (37.039) Prec@5 69.375 (67.822) Epoch: [19][460/11272] Time 0.727 (0.809) Data 0.002 (0.006) Loss 2.5721 (2.5875) Prec@1 38.750 (37.066) Prec@5 65.000 (67.844) Epoch: [19][470/11272] Time 0.925 (0.809) Data 0.002 (0.006) Loss 2.3978 (2.5873) Prec@1 40.625 (37.099) Prec@5 73.750 (67.860) Epoch: [19][480/11272] Time 0.929 (0.809) Data 0.002 (0.006) Loss 2.8227 (2.5873) Prec@1 27.500 (37.083) Prec@5 63.125 (67.860) Epoch: [19][490/11272] Time 0.742 (0.809) Data 0.002 (0.005) Loss 2.4385 (2.5877) Prec@1 43.125 (37.088) Prec@5 71.250 (67.858) Epoch: [19][500/11272] Time 0.744 (0.809) Data 0.001 (0.005) Loss 2.5705 (2.5871) Prec@1 34.375 (37.115) Prec@5 70.000 (67.878) Epoch: [19][510/11272] Time 0.865 (0.809) Data 0.002 (0.005) Loss 2.5126 (2.5879) Prec@1 35.000 (37.065) Prec@5 71.250 (67.879) Epoch: [19][520/11272] Time 0.846 (0.809) Data 0.002 (0.005) Loss 2.6907 (2.5888) Prec@1 36.250 (37.032) Prec@5 63.750 (67.866) Epoch: [19][530/11272] Time 0.727 (0.809) Data 0.001 (0.005) Loss 2.5509 (2.5887) Prec@1 41.250 (37.054) Prec@5 70.625 (67.872) Epoch: [19][540/11272] Time 0.823 (0.809) Data 0.001 (0.005) Loss 2.4019 (2.5888) Prec@1 37.500 (37.051) Prec@5 73.125 (67.882) Epoch: [19][550/11272] Time 0.879 (0.809) Data 0.002 (0.005) Loss 2.5249 (2.5902) Prec@1 38.750 (37.034) Prec@5 70.000 (67.854) Epoch: [19][560/11272] Time 0.746 (0.808) Data 0.001 (0.005) Loss 2.4323 (2.5909) Prec@1 38.750 (37.023) Prec@5 68.125 (67.832) Epoch: [19][570/11272] Time 0.784 (0.809) Data 0.002 (0.005) Loss 2.5136 (2.5911) Prec@1 40.625 (37.024) Prec@5 70.625 (67.813) Epoch: [19][580/11272] Time 0.838 (0.809) Data 0.001 (0.005) Loss 2.6531 (2.5919) Prec@1 38.750 (37.037) Prec@5 66.875 (67.793) Epoch: [19][590/11272] Time 0.847 (0.808) Data 0.001 (0.005) Loss 2.7379 (2.5915) Prec@1 38.750 (37.046) Prec@5 62.500 (67.794) Epoch: [19][600/11272] Time 0.734 (0.808) Data 0.001 (0.005) Loss 2.8843 (2.5919) Prec@1 33.125 (37.028) Prec@5 63.125 (67.792) Epoch: [19][610/11272] Time 0.730 (0.808) Data 0.001 (0.005) Loss 2.7662 (2.5917) Prec@1 30.625 (37.018) Prec@5 68.125 (67.794) Epoch: [19][620/11272] Time 0.895 (0.808) Data 0.002 (0.005) Loss 2.8001 (2.5915) Prec@1 35.625 (37.020) Prec@5 63.750 (67.796) Epoch: [19][630/11272] Time 0.889 (0.808) Data 0.002 (0.005) Loss 2.7509 (2.5918) Prec@1 38.750 (37.027) Prec@5 65.625 (67.808) Epoch: [19][640/11272] Time 0.743 (0.808) Data 0.001 (0.005) Loss 2.7736 (2.5907) Prec@1 40.625 (37.071) Prec@5 62.500 (67.805) Epoch: [19][650/11272] Time 0.728 (0.808) Data 0.001 (0.005) Loss 2.5573 (2.5909) Prec@1 48.125 (37.079) Prec@5 66.250 (67.809) Epoch: [19][660/11272] Time 0.872 (0.808) Data 0.002 (0.004) Loss 2.7144 (2.5917) Prec@1 35.000 (37.060) Prec@5 63.125 (67.796) Epoch: [19][670/11272] Time 0.786 (0.808) Data 0.004 (0.004) Loss 2.5709 (2.5923) Prec@1 37.500 (37.046) Prec@5 66.875 (67.786) Epoch: [19][680/11272] Time 0.738 (0.808) Data 0.001 (0.004) Loss 2.7708 (2.5926) Prec@1 35.625 (37.053) Prec@5 66.250 (67.798) Epoch: [19][690/11272] Time 0.914 (0.808) Data 0.001 (0.004) Loss 2.5955 (2.5920) Prec@1 34.375 (37.060) Prec@5 70.000 (67.814) Epoch: [19][700/11272] Time 0.867 (0.808) Data 0.002 (0.004) Loss 2.5670 (2.5922) Prec@1 37.500 (37.041) Prec@5 68.125 (67.802) Epoch: [19][710/11272] Time 0.731 (0.808) Data 0.002 (0.004) Loss 2.6869 (2.5924) Prec@1 31.250 (37.018) Prec@5 64.375 (67.796) Epoch: [19][720/11272] Time 0.725 (0.808) Data 0.001 (0.004) Loss 2.7454 (2.5922) Prec@1 38.125 (37.023) Prec@5 68.750 (67.811) Epoch: [19][730/11272] Time 0.874 (0.808) Data 0.002 (0.004) Loss 2.6660 (2.5926) Prec@1 40.625 (37.019) Prec@5 68.750 (67.815) Epoch: [19][740/11272] Time 0.884 (0.808) Data 0.002 (0.004) Loss 2.8644 (2.5919) Prec@1 35.625 (37.038) Prec@5 60.625 (67.823) Epoch: [19][750/11272] Time 0.736 (0.808) Data 0.002 (0.004) Loss 2.4620 (2.5916) Prec@1 41.250 (37.047) Prec@5 70.000 (67.834) Epoch: [19][760/11272] Time 0.730 (0.808) Data 0.001 (0.004) Loss 2.5814 (2.5910) Prec@1 41.875 (37.063) Prec@5 70.000 (67.837) Epoch: [19][770/11272] Time 0.866 (0.808) Data 0.002 (0.004) Loss 2.6850 (2.5915) Prec@1 37.500 (37.057) Prec@5 66.250 (67.827) Epoch: [19][780/11272] Time 0.843 (0.807) Data 0.002 (0.004) Loss 2.8065 (2.5917) Prec@1 31.875 (37.049) Prec@5 63.125 (67.806) Epoch: [19][790/11272] Time 0.724 (0.808) Data 0.001 (0.004) Loss 2.6827 (2.5911) Prec@1 34.375 (37.066) Prec@5 65.625 (67.818) Epoch: [19][800/11272] Time 0.831 (0.808) Data 0.002 (0.004) Loss 2.8357 (2.5907) Prec@1 33.125 (37.056) Prec@5 61.250 (67.812) Epoch: [19][810/11272] Time 0.841 (0.808) Data 0.003 (0.004) Loss 2.5632 (2.5904) Prec@1 35.625 (37.055) Prec@5 66.250 (67.811) Epoch: [19][820/11272] Time 0.741 (0.807) Data 0.001 (0.004) Loss 2.6731 (2.5912) Prec@1 31.250 (37.037) Prec@5 62.500 (67.798) Epoch: [19][830/11272] Time 0.737 (0.807) Data 0.001 (0.004) Loss 2.5108 (2.5920) Prec@1 39.375 (37.021) Prec@5 65.000 (67.775) Epoch: [19][840/11272] Time 0.876 (0.807) Data 0.002 (0.004) Loss 2.7304 (2.5928) Prec@1 36.250 (37.015) Prec@5 61.875 (67.760) Epoch: [19][850/11272] Time 0.903 (0.807) Data 0.002 (0.004) Loss 2.5965 (2.5924) Prec@1 38.125 (37.027) Prec@5 68.125 (67.774) Epoch: [19][860/11272] Time 0.742 (0.807) Data 0.002 (0.004) Loss 2.6349 (2.5926) Prec@1 33.750 (37.035) Prec@5 70.625 (67.767) Epoch: [19][870/11272] Time 0.729 (0.807) Data 0.002 (0.004) Loss 2.4694 (2.5932) Prec@1 39.375 (37.016) Prec@5 70.625 (67.753) Epoch: [19][880/11272] Time 0.834 (0.807) Data 0.001 (0.004) Loss 2.8579 (2.5931) Prec@1 31.875 (37.018) Prec@5 63.125 (67.755) Epoch: [19][890/11272] Time 0.887 (0.807) Data 0.002 (0.004) Loss 2.4156 (2.5926) Prec@1 40.625 (37.038) Prec@5 70.625 (67.758) Epoch: [19][900/11272] Time 0.731 (0.807) Data 0.002 (0.004) Loss 2.2153 (2.5924) Prec@1 44.375 (37.033) Prec@5 75.000 (67.764) Epoch: [19][910/11272] Time 0.726 (0.807) Data 0.001 (0.004) Loss 2.3416 (2.5923) Prec@1 41.875 (37.043) Prec@5 70.625 (67.760) Epoch: [19][920/11272] Time 0.887 (0.807) Data 0.002 (0.004) Loss 2.8094 (2.5923) Prec@1 31.875 (37.038) Prec@5 67.500 (67.771) Epoch: [19][930/11272] Time 0.780 (0.807) Data 0.003 (0.004) Loss 2.4810 (2.5922) Prec@1 37.500 (37.039) Prec@5 71.875 (67.765) Epoch: [19][940/11272] Time 0.724 (0.807) Data 0.001 (0.004) Loss 2.4111 (2.5915) Prec@1 41.250 (37.037) Prec@5 69.375 (67.775) Epoch: [19][950/11272] Time 0.861 (0.807) Data 0.001 (0.004) Loss 2.3978 (2.5907) Prec@1 45.625 (37.059) Prec@5 70.625 (67.778) Epoch: [19][960/11272] Time 0.870 (0.807) Data 0.002 (0.004) Loss 2.7628 (2.5909) Prec@1 30.000 (37.040) Prec@5 65.000 (67.779) Epoch: [19][970/11272] Time 0.737 (0.807) Data 0.001 (0.004) Loss 2.3702 (2.5904) Prec@1 44.375 (37.040) Prec@5 70.000 (67.787) Epoch: [19][980/11272] Time 0.722 (0.807) Data 0.001 (0.004) Loss 2.5325 (2.5908) Prec@1 35.625 (37.040) Prec@5 71.875 (67.779) Epoch: [19][990/11272] Time 0.858 (0.807) Data 0.002 (0.004) Loss 2.7116 (2.5912) Prec@1 37.500 (37.036) Prec@5 61.250 (67.768) Epoch: [19][1000/11272] Time 0.867 (0.807) Data 0.002 (0.004) Loss 2.6028 (2.5909) Prec@1 38.125 (37.034) Prec@5 68.125 (67.773) Epoch: [19][1010/11272] Time 0.733 (0.807) Data 0.001 (0.004) Loss 2.4623 (2.5902) Prec@1 42.500 (37.040) Prec@5 74.375 (67.784) Epoch: [19][1020/11272] Time 0.766 (0.807) Data 0.002 (0.003) Loss 2.5182 (2.5897) Prec@1 39.375 (37.045) Prec@5 65.000 (67.798) Epoch: [19][1030/11272] Time 0.883 (0.807) Data 0.002 (0.003) Loss 2.5032 (2.5888) Prec@1 38.750 (37.062) Prec@5 66.875 (67.812) Epoch: [19][1040/11272] Time 0.857 (0.807) Data 0.001 (0.003) Loss 2.6534 (2.5888) Prec@1 35.000 (37.070) Prec@5 67.500 (67.815) Epoch: [19][1050/11272] Time 0.745 (0.807) Data 0.001 (0.003) Loss 2.3319 (2.5879) Prec@1 41.250 (37.088) Prec@5 71.250 (67.827) Epoch: [19][1060/11272] Time 0.835 (0.807) Data 0.001 (0.003) Loss 2.5993 (2.5875) Prec@1 36.250 (37.099) Prec@5 68.750 (67.835) Epoch: [19][1070/11272] Time 0.844 (0.807) Data 0.002 (0.003) Loss 2.4078 (2.5873) Prec@1 39.375 (37.113) Prec@5 70.625 (67.823) Epoch: [19][1080/11272] Time 0.747 (0.807) Data 0.001 (0.003) Loss 2.4244 (2.5875) Prec@1 44.375 (37.091) Prec@5 71.250 (67.834) Epoch: [19][1090/11272] Time 0.756 (0.807) Data 0.001 (0.003) Loss 2.6909 (2.5881) Prec@1 35.000 (37.079) Prec@5 65.000 (67.814) Epoch: [19][1100/11272] Time 0.865 (0.807) Data 0.002 (0.003) Loss 2.6794 (2.5881) Prec@1 38.750 (37.079) Prec@5 65.625 (67.813) Epoch: [19][1110/11272] Time 0.880 (0.807) Data 0.002 (0.003) Loss 2.5386 (2.5891) Prec@1 45.000 (37.061) Prec@5 71.250 (67.796) Epoch: [19][1120/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 2.4833 (2.5891) Prec@1 42.500 (37.075) Prec@5 68.750 (67.789) Epoch: [19][1130/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 2.6827 (2.5895) Prec@1 41.250 (37.081) Prec@5 65.625 (67.781) Epoch: [19][1140/11272] Time 0.879 (0.807) Data 0.002 (0.003) Loss 2.4815 (2.5890) Prec@1 34.375 (37.100) Prec@5 71.250 (67.791) Epoch: [19][1150/11272] Time 0.853 (0.807) Data 0.002 (0.003) Loss 2.8371 (2.5888) Prec@1 35.000 (37.105) Prec@5 63.750 (67.797) Epoch: [19][1160/11272] Time 0.726 (0.807) Data 0.002 (0.003) Loss 2.5640 (2.5882) Prec@1 33.750 (37.122) Prec@5 65.000 (67.806) Epoch: [19][1170/11272] Time 0.732 (0.807) Data 0.002 (0.003) Loss 2.8804 (2.5878) Prec@1 31.250 (37.132) Prec@5 63.125 (67.821) Epoch: [19][1180/11272] Time 0.850 (0.807) Data 0.002 (0.003) Loss 2.6074 (2.5882) Prec@1 38.125 (37.122) Prec@5 69.375 (67.826) Epoch: [19][1190/11272] Time 0.861 (0.807) Data 0.002 (0.003) Loss 2.5749 (2.5878) Prec@1 36.875 (37.143) Prec@5 68.750 (67.835) Epoch: [19][1200/11272] Time 0.767 (0.807) Data 0.002 (0.003) Loss 2.8217 (2.5882) Prec@1 28.125 (37.131) Prec@5 63.750 (67.833) Epoch: [19][1210/11272] Time 0.884 (0.807) Data 0.002 (0.003) Loss 2.6988 (2.5881) Prec@1 38.125 (37.130) Prec@5 63.125 (67.826) Epoch: [19][1220/11272] Time 0.919 (0.807) Data 0.002 (0.003) Loss 2.6674 (2.5884) Prec@1 38.125 (37.134) Prec@5 65.625 (67.822) Epoch: [19][1230/11272] Time 0.705 (0.806) Data 0.001 (0.003) Loss 2.6339 (2.5885) Prec@1 42.500 (37.139) Prec@5 68.125 (67.817) Epoch: [19][1240/11272] Time 0.718 (0.806) Data 0.001 (0.003) Loss 2.5830 (2.5879) Prec@1 36.250 (37.159) Prec@5 68.125 (67.822) Epoch: [19][1250/11272] Time 0.903 (0.806) Data 0.002 (0.003) Loss 2.8937 (2.5883) Prec@1 33.750 (37.159) Prec@5 63.750 (67.809) Epoch: [19][1260/11272] Time 0.863 (0.806) Data 0.002 (0.003) Loss 2.6495 (2.5882) Prec@1 40.000 (37.158) Prec@5 67.500 (67.804) Epoch: [19][1270/11272] Time 0.731 (0.806) Data 0.001 (0.003) Loss 2.2970 (2.5884) Prec@1 44.375 (37.158) Prec@5 72.500 (67.798) Epoch: [19][1280/11272] Time 0.718 (0.806) Data 0.001 (0.003) Loss 2.5143 (2.5885) Prec@1 42.500 (37.166) Prec@5 66.250 (67.779) Epoch: [19][1290/11272] Time 0.881 (0.806) Data 0.002 (0.003) Loss 2.8322 (2.5886) Prec@1 29.375 (37.159) Prec@5 65.625 (67.782) Epoch: [19][1300/11272] Time 0.851 (0.806) Data 0.001 (0.003) Loss 2.7438 (2.5887) Prec@1 38.125 (37.160) Prec@5 65.000 (67.770) Epoch: [19][1310/11272] Time 0.724 (0.806) Data 0.001 (0.003) Loss 2.5034 (2.5893) Prec@1 41.250 (37.149) Prec@5 67.500 (67.761) Epoch: [19][1320/11272] Time 0.742 (0.806) Data 0.001 (0.003) Loss 2.6715 (2.5894) Prec@1 36.875 (37.143) Prec@5 65.625 (67.759) Epoch: [19][1330/11272] Time 0.891 (0.806) Data 0.001 (0.003) Loss 2.4814 (2.5893) Prec@1 39.375 (37.135) Prec@5 71.875 (67.772) Epoch: [19][1340/11272] Time 0.777 (0.806) Data 0.002 (0.003) Loss 2.7749 (2.5898) Prec@1 36.250 (37.120) Prec@5 63.750 (67.757) Epoch: [19][1350/11272] Time 0.733 (0.806) Data 0.001 (0.003) Loss 2.7240 (2.5899) Prec@1 30.625 (37.113) Prec@5 65.625 (67.756) Epoch: [19][1360/11272] Time 0.890 (0.806) Data 0.002 (0.003) Loss 2.4555 (2.5901) Prec@1 38.750 (37.100) Prec@5 70.000 (67.753) Epoch: [19][1370/11272] Time 0.881 (0.806) Data 0.002 (0.003) Loss 2.5683 (2.5901) Prec@1 40.625 (37.094) Prec@5 71.250 (67.753) Epoch: [19][1380/11272] Time 0.739 (0.806) Data 0.001 (0.003) Loss 2.7847 (2.5900) Prec@1 32.500 (37.090) Prec@5 68.125 (67.762) Epoch: [19][1390/11272] Time 0.737 (0.806) Data 0.001 (0.003) Loss 2.5540 (2.5901) Prec@1 41.250 (37.083) Prec@5 70.000 (67.757) Epoch: [19][1400/11272] Time 0.907 (0.806) Data 0.002 (0.003) Loss 2.8266 (2.5910) Prec@1 35.625 (37.070) Prec@5 61.250 (67.747) Epoch: [19][1410/11272] Time 0.884 (0.806) Data 0.002 (0.003) Loss 2.6036 (2.5913) Prec@1 38.750 (37.065) Prec@5 65.000 (67.745) Epoch: [19][1420/11272] Time 0.702 (0.806) Data 0.001 (0.003) Loss 2.5605 (2.5922) Prec@1 33.750 (37.055) Prec@5 66.250 (67.725) Epoch: [19][1430/11272] Time 0.725 (0.806) Data 0.001 (0.003) Loss 2.5569 (2.5922) Prec@1 38.750 (37.051) Prec@5 70.625 (67.723) Epoch: [19][1440/11272] Time 0.882 (0.806) Data 0.002 (0.003) Loss 2.6575 (2.5921) Prec@1 35.625 (37.055) Prec@5 66.875 (67.731) Epoch: [19][1450/11272] Time 0.961 (0.807) Data 0.002 (0.003) Loss 2.5126 (2.5925) Prec@1 40.625 (37.060) Prec@5 65.625 (67.713) Epoch: [19][1460/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.7725 (2.5926) Prec@1 34.375 (37.063) Prec@5 64.375 (67.713) Epoch: [19][1470/11272] Time 0.849 (0.807) Data 0.002 (0.003) Loss 2.6166 (2.5925) Prec@1 35.000 (37.060) Prec@5 66.250 (67.718) Epoch: [19][1480/11272] Time 0.879 (0.807) Data 0.002 (0.003) Loss 2.7056 (2.5924) Prec@1 34.375 (37.068) Prec@5 65.000 (67.725) Epoch: [19][1490/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.3779 (2.5918) Prec@1 42.500 (37.077) Prec@5 68.125 (67.741) Epoch: [19][1500/11272] Time 0.741 (0.807) Data 0.002 (0.003) Loss 2.3981 (2.5918) Prec@1 41.250 (37.079) Prec@5 67.500 (67.728) Epoch: [19][1510/11272] Time 0.920 (0.807) Data 0.002 (0.003) Loss 2.6782 (2.5918) Prec@1 36.250 (37.076) Prec@5 63.750 (67.723) Epoch: [19][1520/11272] Time 0.920 (0.807) Data 0.002 (0.003) Loss 2.7927 (2.5924) Prec@1 29.375 (37.066) Prec@5 65.625 (67.713) Epoch: [19][1530/11272] Time 0.733 (0.807) Data 0.001 (0.003) Loss 2.7176 (2.5930) Prec@1 37.500 (37.068) Prec@5 66.875 (67.703) Epoch: [19][1540/11272] Time 0.725 (0.807) Data 0.001 (0.003) Loss 2.4393 (2.5929) Prec@1 43.125 (37.067) Prec@5 70.625 (67.701) Epoch: [19][1550/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 2.7023 (2.5923) Prec@1 35.000 (37.069) Prec@5 66.875 (67.718) Epoch: [19][1560/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.8120 (2.5927) Prec@1 27.500 (37.060) Prec@5 65.625 (67.711) Epoch: [19][1570/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.8319 (2.5931) Prec@1 36.250 (37.068) Prec@5 63.750 (67.696) Epoch: [19][1580/11272] Time 0.763 (0.807) Data 0.001 (0.003) Loss 2.5773 (2.5930) Prec@1 41.250 (37.064) Prec@5 65.625 (67.701) Epoch: [19][1590/11272] Time 0.900 (0.807) Data 0.002 (0.003) Loss 2.6450 (2.5931) Prec@1 36.875 (37.060) Prec@5 63.125 (67.701) Epoch: [19][1600/11272] Time 0.767 (0.807) Data 0.004 (0.003) Loss 2.4231 (2.5929) Prec@1 38.125 (37.065) Prec@5 68.750 (67.705) Epoch: [19][1610/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.4805 (2.5931) Prec@1 38.750 (37.065) Prec@5 69.375 (67.693) Epoch: [19][1620/11272] Time 0.882 (0.807) Data 0.002 (0.003) Loss 2.2607 (2.5934) Prec@1 40.000 (37.058) Prec@5 74.375 (67.694) Epoch: [19][1630/11272] Time 0.850 (0.807) Data 0.002 (0.003) Loss 2.6195 (2.5936) Prec@1 31.250 (37.056) Prec@5 66.250 (67.685) Epoch: [19][1640/11272] Time 0.746 (0.807) Data 0.001 (0.003) Loss 2.4260 (2.5928) Prec@1 45.625 (37.083) Prec@5 73.125 (67.703) Epoch: [19][1650/11272] Time 0.740 (0.807) Data 0.001 (0.003) Loss 2.5977 (2.5932) Prec@1 33.750 (37.073) Prec@5 72.500 (67.697) Epoch: [19][1660/11272] Time 0.878 (0.807) Data 0.002 (0.003) Loss 2.5723 (2.5927) Prec@1 39.375 (37.085) Prec@5 69.375 (67.706) Epoch: [19][1670/11272] Time 0.888 (0.807) Data 0.002 (0.003) Loss 2.4788 (2.5928) Prec@1 40.625 (37.075) Prec@5 70.000 (67.708) Epoch: [19][1680/11272] Time 0.782 (0.807) Data 0.002 (0.003) Loss 2.6071 (2.5929) Prec@1 34.375 (37.074) Prec@5 70.625 (67.709) Epoch: [19][1690/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.6325 (2.5929) Prec@1 36.875 (37.086) Prec@5 66.875 (67.710) Epoch: [19][1700/11272] Time 0.885 (0.807) Data 0.002 (0.003) Loss 2.5601 (2.5932) Prec@1 36.875 (37.073) Prec@5 68.125 (67.709) Epoch: [19][1710/11272] Time 0.823 (0.807) Data 0.001 (0.003) Loss 2.6889 (2.5934) Prec@1 34.375 (37.065) Prec@5 66.875 (67.703) Epoch: [19][1720/11272] Time 0.727 (0.807) Data 0.001 (0.003) Loss 2.8122 (2.5939) Prec@1 27.500 (37.050) Prec@5 66.875 (67.693) Epoch: [19][1730/11272] Time 0.889 (0.807) Data 0.001 (0.003) Loss 2.6206 (2.5942) Prec@1 42.500 (37.051) Prec@5 67.500 (67.686) Epoch: [19][1740/11272] Time 0.875 (0.807) Data 0.002 (0.003) Loss 2.3401 (2.5941) Prec@1 38.750 (37.048) Prec@5 77.500 (67.692) Epoch: [19][1750/11272] Time 0.735 (0.807) Data 0.001 (0.003) Loss 2.7974 (2.5942) Prec@1 36.250 (37.051) Prec@5 64.375 (67.688) Epoch: [19][1760/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 2.5473 (2.5942) Prec@1 37.500 (37.055) Prec@5 65.625 (67.686) Epoch: [19][1770/11272] Time 0.907 (0.808) Data 0.002 (0.003) Loss 2.5768 (2.5941) Prec@1 38.125 (37.055) Prec@5 67.500 (67.694) Epoch: [19][1780/11272] Time 0.852 (0.808) Data 0.001 (0.003) Loss 2.5813 (2.5939) Prec@1 35.625 (37.052) Prec@5 64.375 (67.696) Epoch: [19][1790/11272] Time 0.742 (0.807) Data 0.001 (0.003) Loss 2.7775 (2.5940) Prec@1 31.875 (37.047) Prec@5 61.875 (67.695) Epoch: [19][1800/11272] Time 0.739 (0.807) Data 0.001 (0.003) Loss 2.7626 (2.5941) Prec@1 31.875 (37.045) Prec@5 65.000 (67.691) Epoch: [19][1810/11272] Time 0.868 (0.807) Data 0.002 (0.003) Loss 2.5052 (2.5947) Prec@1 35.000 (37.033) Prec@5 68.125 (67.677) Epoch: [19][1820/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 2.7241 (2.5950) Prec@1 33.750 (37.026) Prec@5 64.375 (67.668) Epoch: [19][1830/11272] Time 0.742 (0.807) Data 0.001 (0.003) Loss 2.3054 (2.5949) Prec@1 41.875 (37.034) Prec@5 75.625 (67.669) Epoch: [19][1840/11272] Time 0.737 (0.807) Data 0.002 (0.003) Loss 2.7698 (2.5949) Prec@1 35.625 (37.037) Prec@5 62.500 (67.670) Epoch: [19][1850/11272] Time 0.883 (0.808) Data 0.002 (0.003) Loss 2.5486 (2.5950) Prec@1 37.500 (37.033) Prec@5 70.000 (67.672) Epoch: [19][1860/11272] Time 0.724 (0.807) Data 0.003 (0.003) Loss 2.5935 (2.5952) Prec@1 36.875 (37.016) Prec@5 68.125 (67.669) Epoch: [19][1870/11272] Time 0.700 (0.807) Data 0.001 (0.003) Loss 2.7621 (2.5951) Prec@1 34.375 (37.021) Prec@5 63.125 (67.663) Epoch: [19][1880/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.4688 (2.5946) Prec@1 42.500 (37.028) Prec@5 70.000 (67.673) Epoch: [19][1890/11272] Time 0.871 (0.807) Data 0.002 (0.003) Loss 2.7461 (2.5951) Prec@1 33.750 (37.018) Prec@5 64.375 (67.660) Epoch: [19][1900/11272] Time 0.745 (0.807) Data 0.002 (0.003) Loss 2.6288 (2.5949) Prec@1 35.625 (37.016) Prec@5 65.000 (67.663) Epoch: [19][1910/11272] Time 0.744 (0.807) Data 0.001 (0.003) Loss 2.5551 (2.5948) Prec@1 41.250 (37.021) Prec@5 70.000 (67.667) Epoch: [19][1920/11272] Time 0.900 (0.807) Data 0.002 (0.003) Loss 2.4239 (2.5946) Prec@1 40.625 (37.023) Prec@5 70.000 (67.669) Epoch: [19][1930/11272] Time 0.845 (0.807) Data 0.001 (0.003) Loss 2.4925 (2.5948) Prec@1 36.250 (37.016) Prec@5 70.000 (67.662) Epoch: [19][1940/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.4846 (2.5949) Prec@1 40.625 (37.013) Prec@5 66.250 (67.656) Epoch: [19][1950/11272] Time 0.708 (0.807) Data 0.001 (0.003) Loss 2.4842 (2.5946) Prec@1 36.250 (37.024) Prec@5 73.125 (67.660) Epoch: [19][1960/11272] Time 0.891 (0.807) Data 0.002 (0.003) Loss 2.5870 (2.5948) Prec@1 38.750 (37.010) Prec@5 65.000 (67.656) Epoch: [19][1970/11272] Time 0.875 (0.807) Data 0.002 (0.003) Loss 2.4258 (2.5944) Prec@1 35.625 (37.026) Prec@5 72.500 (67.665) Epoch: [19][1980/11272] Time 0.733 (0.807) Data 0.001 (0.003) Loss 2.5955 (2.5945) Prec@1 43.750 (37.021) Prec@5 66.875 (67.665) Epoch: [19][1990/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.6634 (2.5945) Prec@1 38.750 (37.029) Prec@5 63.750 (67.661) Epoch: [19][2000/11272] Time 0.862 (0.807) Data 0.002 (0.003) Loss 2.4341 (2.5942) Prec@1 39.375 (37.036) Prec@5 68.125 (67.669) Epoch: [19][2010/11272] Time 0.728 (0.807) Data 0.002 (0.003) Loss 2.6735 (2.5942) Prec@1 35.000 (37.034) Prec@5 65.625 (67.671) Epoch: [19][2020/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.5603 (2.5939) Prec@1 41.875 (37.045) Prec@5 71.875 (67.683) Epoch: [19][2030/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.5843 (2.5939) Prec@1 39.375 (37.044) Prec@5 69.375 (67.688) Epoch: [19][2040/11272] Time 0.852 (0.807) Data 0.002 (0.003) Loss 2.8734 (2.5942) Prec@1 30.625 (37.038) Prec@5 57.500 (67.675) Epoch: [19][2050/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.4583 (2.5939) Prec@1 40.000 (37.042) Prec@5 71.875 (67.676) Epoch: [19][2060/11272] Time 0.705 (0.807) Data 0.001 (0.003) Loss 2.5965 (2.5942) Prec@1 35.000 (37.036) Prec@5 70.000 (67.666) Epoch: [19][2070/11272] Time 0.842 (0.807) Data 0.001 (0.003) Loss 2.8151 (2.5943) Prec@1 32.500 (37.036) Prec@5 68.125 (67.662) Epoch: [19][2080/11272] Time 0.891 (0.807) Data 0.002 (0.003) Loss 2.5445 (2.5946) Prec@1 37.500 (37.036) Prec@5 68.750 (67.658) Epoch: [19][2090/11272] Time 0.758 (0.807) Data 0.002 (0.003) Loss 2.3683 (2.5946) Prec@1 41.875 (37.039) Prec@5 72.500 (67.656) Epoch: [19][2100/11272] Time 0.771 (0.807) Data 0.002 (0.003) Loss 2.5793 (2.5949) Prec@1 34.375 (37.026) Prec@5 68.125 (67.652) Epoch: [19][2110/11272] Time 0.897 (0.807) Data 0.002 (0.003) Loss 2.8012 (2.5948) Prec@1 33.750 (37.027) Prec@5 66.250 (67.651) Epoch: [19][2120/11272] Time 0.847 (0.807) Data 0.002 (0.003) Loss 2.5637 (2.5948) Prec@1 41.250 (37.027) Prec@5 68.125 (67.647) Epoch: [19][2130/11272] Time 0.760 (0.807) Data 0.001 (0.003) Loss 2.6734 (2.5950) Prec@1 39.375 (37.024) Prec@5 65.625 (67.643) Epoch: [19][2140/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.6677 (2.5949) Prec@1 36.875 (37.028) Prec@5 65.000 (67.642) Epoch: [19][2150/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.5093 (2.5952) Prec@1 37.500 (37.025) Prec@5 69.375 (67.642) Epoch: [19][2160/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.4855 (2.5957) Prec@1 40.000 (37.016) Prec@5 69.375 (67.635) Epoch: [19][2170/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.5388 (2.5958) Prec@1 41.875 (37.019) Prec@5 66.250 (67.637) Epoch: [19][2180/11272] Time 0.904 (0.807) Data 0.002 (0.002) Loss 2.5948 (2.5957) Prec@1 36.250 (37.020) Prec@5 65.625 (67.641) Epoch: [19][2190/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.7913 (2.5957) Prec@1 31.875 (37.015) Prec@5 67.500 (67.641) Epoch: [19][2200/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6280 (2.5960) Prec@1 36.250 (37.006) Prec@5 67.500 (67.641) Epoch: [19][2210/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.5696 (2.5960) Prec@1 33.125 (37.005) Prec@5 66.875 (67.636) Epoch: [19][2220/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.5549 (2.5962) Prec@1 40.000 (37.004) Prec@5 67.500 (67.635) Epoch: [19][2230/11272] Time 0.920 (0.807) Data 0.002 (0.002) Loss 2.6812 (2.5960) Prec@1 37.500 (37.006) Prec@5 63.750 (67.637) Epoch: [19][2240/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6975 (2.5962) Prec@1 37.500 (37.006) Prec@5 67.500 (67.637) Epoch: [19][2250/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.3523 (2.5958) Prec@1 42.500 (37.012) Prec@5 73.125 (67.648) Epoch: [19][2260/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.7762 (2.5957) Prec@1 38.125 (37.017) Prec@5 65.000 (67.651) Epoch: [19][2270/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.6432 (2.5958) Prec@1 35.000 (37.019) Prec@5 66.875 (67.651) Epoch: [19][2280/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.4640 (2.5956) Prec@1 41.250 (37.024) Prec@5 68.750 (67.656) Epoch: [19][2290/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.5830 (2.5956) Prec@1 41.250 (37.026) Prec@5 67.500 (67.654) Epoch: [19][2300/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.4906 (2.5957) Prec@1 40.625 (37.024) Prec@5 69.375 (67.653) Epoch: [19][2310/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 2.6023 (2.5959) Prec@1 38.125 (37.016) Prec@5 70.000 (67.646) Epoch: [19][2320/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.6348 (2.5962) Prec@1 35.625 (37.013) Prec@5 66.875 (67.634) Epoch: [19][2330/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.8354 (2.5965) Prec@1 31.875 (37.009) Prec@5 60.625 (67.628) Epoch: [19][2340/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.7617 (2.5969) Prec@1 39.375 (37.003) Prec@5 63.750 (67.619) Epoch: [19][2350/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.8776 (2.5969) Prec@1 36.250 (37.005) Prec@5 61.250 (67.615) Epoch: [19][2360/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.3180 (2.5967) Prec@1 43.125 (37.007) Prec@5 75.625 (67.619) Epoch: [19][2370/11272] Time 0.923 (0.807) Data 0.002 (0.002) Loss 2.3255 (2.5966) Prec@1 38.125 (37.014) Prec@5 70.625 (67.621) Epoch: [19][2380/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.6330 (2.5966) Prec@1 36.250 (37.011) Prec@5 66.875 (67.627) Epoch: [19][2390/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6698 (2.5966) Prec@1 35.000 (37.003) Prec@5 66.875 (67.623) Epoch: [19][2400/11272] Time 0.847 (0.807) Data 0.001 (0.002) Loss 2.7153 (2.5969) Prec@1 35.000 (36.995) Prec@5 65.625 (67.618) Epoch: [19][2410/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.4538 (2.5967) Prec@1 37.500 (36.995) Prec@5 73.125 (67.625) Epoch: [19][2420/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.3709 (2.5970) Prec@1 36.875 (36.989) Prec@5 74.375 (67.624) Epoch: [19][2430/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5146 (2.5969) Prec@1 40.625 (36.994) Prec@5 67.500 (67.625) Epoch: [19][2440/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.6760 (2.5969) Prec@1 33.750 (36.990) Prec@5 66.875 (67.622) Epoch: [19][2450/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.4349 (2.5967) Prec@1 42.500 (36.992) Prec@5 75.000 (67.632) Epoch: [19][2460/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.6935 (2.5969) Prec@1 35.000 (36.988) Prec@5 63.125 (67.625) Epoch: [19][2470/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6635 (2.5971) Prec@1 36.875 (36.987) Prec@5 68.750 (67.623) Epoch: [19][2480/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.8785 (2.5974) Prec@1 34.375 (36.987) Prec@5 59.375 (67.617) Epoch: [19][2490/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.7341 (2.5975) Prec@1 35.000 (36.984) Prec@5 68.125 (67.610) Epoch: [19][2500/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5585 (2.5975) Prec@1 35.000 (36.985) Prec@5 70.000 (67.613) Epoch: [19][2510/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.9390 (2.5974) Prec@1 26.875 (36.990) Prec@5 60.625 (67.618) Epoch: [19][2520/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.8696 (2.5972) Prec@1 32.500 (36.997) Prec@5 63.125 (67.621) Epoch: [19][2530/11272] Time 0.764 (0.807) Data 0.003 (0.002) Loss 2.5067 (2.5969) Prec@1 36.875 (36.999) Prec@5 70.625 (67.629) Epoch: [19][2540/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.7243 (2.5970) Prec@1 34.375 (36.998) Prec@5 66.250 (67.627) Epoch: [19][2550/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.4852 (2.5969) Prec@1 40.625 (37.000) Prec@5 67.500 (67.624) Epoch: [19][2560/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.5696 (2.5971) Prec@1 40.625 (36.997) Prec@5 64.375 (67.619) Epoch: [19][2570/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.4432 (2.5971) Prec@1 43.750 (36.996) Prec@5 68.750 (67.615) Epoch: [19][2580/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.5332 (2.5969) Prec@1 37.500 (36.999) Prec@5 70.625 (67.623) Epoch: [19][2590/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.6059 (2.5968) Prec@1 40.625 (37.003) Prec@5 71.250 (67.624) Epoch: [19][2600/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.6243 (2.5972) Prec@1 34.375 (36.993) Prec@5 65.000 (67.613) Epoch: [19][2610/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5619 (2.5969) Prec@1 35.000 (36.999) Prec@5 70.625 (67.615) Epoch: [19][2620/11272] Time 0.706 (0.807) Data 0.001 (0.002) Loss 2.4378 (2.5971) Prec@1 36.250 (37.002) Prec@5 71.250 (67.613) Epoch: [19][2630/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.2975 (2.5968) Prec@1 42.500 (37.008) Prec@5 73.750 (67.618) Epoch: [19][2640/11272] Time 0.896 (0.807) Data 0.006 (0.002) Loss 2.7542 (2.5972) Prec@1 33.750 (36.998) Prec@5 65.000 (67.610) Epoch: [19][2650/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.5880 (2.5968) Prec@1 34.375 (37.006) Prec@5 64.375 (67.620) Epoch: [19][2660/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.6235 (2.5970) Prec@1 37.500 (37.005) Prec@5 66.875 (67.617) Epoch: [19][2670/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.8013 (2.5969) Prec@1 35.000 (37.010) Prec@5 61.250 (67.622) Epoch: [19][2680/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.6093 (2.5968) Prec@1 37.500 (37.007) Prec@5 67.500 (67.622) Epoch: [19][2690/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.6347 (2.5969) Prec@1 36.250 (37.004) Prec@5 63.750 (67.623) Epoch: [19][2700/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5850 (2.5970) Prec@1 35.000 (37.006) Prec@5 66.250 (67.624) Epoch: [19][2710/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.5611 (2.5967) Prec@1 36.875 (37.009) Prec@5 66.875 (67.631) Epoch: [19][2720/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5742 (2.5969) Prec@1 34.375 (37.009) Prec@5 67.500 (67.627) Epoch: [19][2730/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.7727 (2.5971) Prec@1 29.375 (37.003) Prec@5 65.000 (67.622) Epoch: [19][2740/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.5928 (2.5972) Prec@1 36.875 (37.008) Prec@5 70.000 (67.621) Epoch: [19][2750/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.7734 (2.5973) Prec@1 29.375 (37.009) Prec@5 66.250 (67.618) Epoch: [19][2760/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.5902 (2.5975) Prec@1 41.250 (37.009) Prec@5 70.000 (67.612) Epoch: [19][2770/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.4138 (2.5975) Prec@1 38.750 (37.006) Prec@5 71.875 (67.612) Epoch: [19][2780/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.2020 (2.5971) Prec@1 45.625 (37.011) Prec@5 75.625 (67.620) Epoch: [19][2790/11272] Time 0.738 (0.807) Data 0.003 (0.002) Loss 2.5712 (2.5972) Prec@1 37.500 (37.009) Prec@5 66.875 (67.615) Epoch: [19][2800/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.4127 (2.5968) Prec@1 38.750 (37.014) Prec@5 72.500 (67.622) Epoch: [19][2810/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6164 (2.5966) Prec@1 37.500 (37.020) Prec@5 64.375 (67.624) Epoch: [19][2820/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.6145 (2.5965) Prec@1 33.750 (37.024) Prec@5 66.875 (67.624) Epoch: [19][2830/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.5141 (2.5970) Prec@1 38.750 (37.015) Prec@5 71.250 (67.617) Epoch: [19][2840/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.5302 (2.5970) Prec@1 39.375 (37.020) Prec@5 69.375 (67.617) Epoch: [19][2850/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4001 (2.5969) Prec@1 41.250 (37.023) Prec@5 69.375 (67.621) Epoch: [19][2860/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.3818 (2.5968) Prec@1 40.000 (37.023) Prec@5 71.875 (67.628) Epoch: [19][2870/11272] Time 0.698 (0.807) Data 0.001 (0.002) Loss 2.6476 (2.5971) Prec@1 34.375 (37.017) Prec@5 63.125 (67.620) Epoch: [19][2880/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5456 (2.5969) Prec@1 33.125 (37.020) Prec@5 70.625 (67.625) Epoch: [19][2890/11272] Time 0.893 (0.807) Data 0.002 (0.002) Loss 2.6397 (2.5968) Prec@1 41.250 (37.021) Prec@5 66.250 (67.625) Epoch: [19][2900/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.4587 (2.5967) Prec@1 33.750 (37.020) Prec@5 71.250 (67.626) Epoch: [19][2910/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.6117 (2.5966) Prec@1 36.875 (37.020) Prec@5 66.875 (67.629) Epoch: [19][2920/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.5792 (2.5967) Prec@1 34.375 (37.021) Prec@5 70.000 (67.628) Epoch: [19][2930/11272] Time 0.872 (0.807) Data 0.001 (0.002) Loss 2.6734 (2.5968) Prec@1 36.875 (37.021) Prec@5 65.000 (67.629) Epoch: [19][2940/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6074 (2.5970) Prec@1 35.000 (37.015) Prec@5 66.875 (67.627) Epoch: [19][2950/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.6278 (2.5969) Prec@1 39.375 (37.017) Prec@5 65.625 (67.627) Epoch: [19][2960/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6623 (2.5970) Prec@1 35.625 (37.017) Prec@5 64.375 (67.626) Epoch: [19][2970/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.5046 (2.5970) Prec@1 40.000 (37.019) Prec@5 71.875 (67.626) Epoch: [19][2980/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5441 (2.5972) Prec@1 40.625 (37.016) Prec@5 71.250 (67.623) Epoch: [19][2990/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.8394 (2.5970) Prec@1 33.750 (37.019) Prec@5 61.250 (67.629) Epoch: [19][3000/11272] Time 0.914 (0.807) Data 0.003 (0.002) Loss 2.6879 (2.5970) Prec@1 34.375 (37.015) Prec@5 63.125 (67.629) Epoch: [19][3010/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.3961 (2.5970) Prec@1 38.125 (37.017) Prec@5 70.000 (67.632) Epoch: [19][3020/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.7875 (2.5973) Prec@1 33.125 (37.014) Prec@5 66.250 (67.624) Epoch: [19][3030/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5250 (2.5973) Prec@1 46.250 (37.012) Prec@5 70.625 (67.624) Epoch: [19][3040/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.6924 (2.5973) Prec@1 37.500 (37.014) Prec@5 66.875 (67.622) Epoch: [19][3050/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.4305 (2.5974) Prec@1 41.250 (37.015) Prec@5 68.125 (67.621) Epoch: [19][3060/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.5443 (2.5974) Prec@1 41.875 (37.020) Prec@5 68.750 (67.622) Epoch: [19][3070/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.3754 (2.5975) Prec@1 39.375 (37.021) Prec@5 73.125 (67.620) Epoch: [19][3080/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.7238 (2.5974) Prec@1 36.875 (37.026) Prec@5 65.000 (67.622) Epoch: [19][3090/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6090 (2.5972) Prec@1 36.875 (37.027) Prec@5 68.750 (67.630) Epoch: [19][3100/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6200 (2.5973) Prec@1 35.625 (37.026) Prec@5 68.750 (67.629) Epoch: [19][3110/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.6492 (2.5973) Prec@1 33.750 (37.025) Prec@5 65.625 (67.629) Epoch: [19][3120/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.3048 (2.5973) Prec@1 45.625 (37.027) Prec@5 71.250 (67.630) Epoch: [19][3130/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6711 (2.5973) Prec@1 39.375 (37.031) Prec@5 67.500 (67.630) Epoch: [19][3140/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.5526 (2.5973) Prec@1 40.625 (37.034) Prec@5 71.250 (67.636) Epoch: [19][3150/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.8036 (2.5975) Prec@1 32.500 (37.034) Prec@5 61.875 (67.630) Epoch: [19][3160/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.7638 (2.5975) Prec@1 30.000 (37.033) Prec@5 65.625 (67.627) Epoch: [19][3170/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.3668 (2.5974) Prec@1 41.250 (37.038) Prec@5 69.375 (67.630) Epoch: [19][3180/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.4919 (2.5975) Prec@1 40.625 (37.040) Prec@5 68.125 (67.631) Epoch: [19][3190/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.7003 (2.5976) Prec@1 32.500 (37.033) Prec@5 65.625 (67.625) Epoch: [19][3200/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.8463 (2.5978) Prec@1 28.125 (37.024) Prec@5 63.750 (67.624) Epoch: [19][3210/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5691 (2.5981) Prec@1 37.500 (37.021) Prec@5 66.875 (67.617) Epoch: [19][3220/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.6644 (2.5982) Prec@1 30.000 (37.015) Prec@5 69.375 (67.616) Epoch: [19][3230/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.8416 (2.5983) Prec@1 31.875 (37.009) Prec@5 60.625 (67.611) Epoch: [19][3240/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.6577 (2.5983) Prec@1 37.500 (37.004) Prec@5 65.000 (67.609) Epoch: [19][3250/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.5083 (2.5982) Prec@1 40.625 (37.007) Prec@5 69.375 (67.613) Epoch: [19][3260/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.6341 (2.5983) Prec@1 36.250 (37.005) Prec@5 67.500 (67.614) Epoch: [19][3270/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.3852 (2.5983) Prec@1 36.875 (37.004) Prec@5 72.500 (67.608) Epoch: [19][3280/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.5979 (2.5982) Prec@1 38.750 (37.004) Prec@5 68.125 (67.613) Epoch: [19][3290/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.7539 (2.5981) Prec@1 36.250 (37.008) Prec@5 66.250 (67.617) Epoch: [19][3300/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.5917 (2.5982) Prec@1 38.750 (37.007) Prec@5 70.000 (67.618) Epoch: [19][3310/11272] Time 0.816 (0.807) Data 0.001 (0.002) Loss 2.9097 (2.5982) Prec@1 31.875 (37.002) Prec@5 60.000 (67.619) Epoch: [19][3320/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.5468 (2.5983) Prec@1 35.000 (36.995) Prec@5 68.750 (67.619) Epoch: [19][3330/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.5019 (2.5982) Prec@1 40.625 (36.992) Prec@5 70.000 (67.620) Epoch: [19][3340/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.6285 (2.5985) Prec@1 36.875 (36.987) Prec@5 66.875 (67.618) Epoch: [19][3350/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.7684 (2.5985) Prec@1 35.625 (36.984) Prec@5 61.875 (67.615) Epoch: [19][3360/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.5733 (2.5986) Prec@1 40.625 (36.985) Prec@5 67.500 (67.613) Epoch: [19][3370/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.8183 (2.5988) Prec@1 33.750 (36.981) Prec@5 66.875 (67.609) Epoch: [19][3380/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.6424 (2.5987) Prec@1 40.625 (36.980) Prec@5 65.625 (67.611) Epoch: [19][3390/11272] Time 0.784 (0.807) Data 0.002 (0.002) Loss 2.4525 (2.5986) Prec@1 40.625 (36.980) Prec@5 68.750 (67.609) Epoch: [19][3400/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.3922 (2.5984) Prec@1 45.000 (36.984) Prec@5 70.625 (67.611) Epoch: [19][3410/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4232 (2.5984) Prec@1 37.500 (36.982) Prec@5 71.875 (67.609) Epoch: [19][3420/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5953 (2.5982) Prec@1 39.375 (36.983) Prec@5 67.500 (67.610) Epoch: [19][3430/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6228 (2.5984) Prec@1 35.000 (36.976) Prec@5 68.125 (67.608) Epoch: [19][3440/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.8265 (2.5986) Prec@1 26.250 (36.967) Prec@5 61.875 (67.604) Epoch: [19][3450/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.6345 (2.5986) Prec@1 40.625 (36.964) Prec@5 68.750 (67.605) Epoch: [19][3460/11272] Time 0.766 (0.807) Data 0.004 (0.002) Loss 2.4734 (2.5985) Prec@1 37.500 (36.962) Prec@5 68.125 (67.608) Epoch: [19][3470/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4843 (2.5986) Prec@1 36.250 (36.959) Prec@5 70.625 (67.608) Epoch: [19][3480/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.5944 (2.5986) Prec@1 34.375 (36.956) Prec@5 68.750 (67.606) Epoch: [19][3490/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.6314 (2.5987) Prec@1 37.500 (36.953) Prec@5 69.375 (67.603) Epoch: [19][3500/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.5278 (2.5987) Prec@1 34.375 (36.950) Prec@5 71.250 (67.607) Epoch: [19][3510/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.2705 (2.5982) Prec@1 47.500 (36.956) Prec@5 78.125 (67.621) Epoch: [19][3520/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.7067 (2.5983) Prec@1 35.625 (36.955) Prec@5 66.250 (67.619) Epoch: [19][3530/11272] Time 0.813 (0.807) Data 0.001 (0.002) Loss 2.5082 (2.5984) Prec@1 39.375 (36.955) Prec@5 71.250 (67.619) Epoch: [19][3540/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.5994 (2.5984) Prec@1 36.875 (36.950) Prec@5 66.875 (67.617) Epoch: [19][3550/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.7663 (2.5986) Prec@1 35.625 (36.948) Prec@5 64.375 (67.613) Epoch: [19][3560/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.5992 (2.5986) Prec@1 38.125 (36.952) Prec@5 66.875 (67.615) Epoch: [19][3570/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.4675 (2.5985) Prec@1 36.875 (36.953) Prec@5 70.625 (67.617) Epoch: [19][3580/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.2162 (2.5982) Prec@1 45.000 (36.962) Prec@5 78.750 (67.624) Epoch: [19][3590/11272] Time 0.881 (0.807) Data 0.001 (0.002) Loss 2.7502 (2.5981) Prec@1 34.375 (36.963) Prec@5 63.125 (67.627) Epoch: [19][3600/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.4822 (2.5982) Prec@1 35.625 (36.965) Prec@5 73.125 (67.630) Epoch: [19][3610/11272] Time 0.769 (0.807) Data 0.001 (0.002) Loss 2.6949 (2.5984) Prec@1 31.250 (36.958) Prec@5 63.750 (67.625) Epoch: [19][3620/11272] Time 0.714 (0.807) Data 0.001 (0.002) Loss 2.7146 (2.5985) Prec@1 30.625 (36.955) Prec@5 66.250 (67.622) Epoch: [19][3630/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.3969 (2.5983) Prec@1 45.625 (36.962) Prec@5 71.875 (67.629) Epoch: [19][3640/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 2.7991 (2.5983) Prec@1 36.250 (36.965) Prec@5 66.250 (67.633) Epoch: [19][3650/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.4325 (2.5985) Prec@1 33.750 (36.959) Prec@5 66.250 (67.627) Epoch: [19][3660/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.5569 (2.5985) Prec@1 34.375 (36.957) Prec@5 73.750 (67.628) Epoch: [19][3670/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5623 (2.5983) Prec@1 39.375 (36.961) Prec@5 69.375 (67.637) Epoch: [19][3680/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.3966 (2.5984) Prec@1 39.375 (36.959) Prec@5 71.250 (67.636) Epoch: [19][3690/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.5564 (2.5983) Prec@1 34.375 (36.959) Prec@5 65.000 (67.635) Epoch: [19][3700/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.6541 (2.5985) Prec@1 36.875 (36.958) Prec@5 64.375 (67.633) Epoch: [19][3710/11272] Time 0.903 (0.807) Data 0.003 (0.002) Loss 2.5539 (2.5987) Prec@1 39.375 (36.953) Prec@5 66.875 (67.628) Epoch: [19][3720/11272] Time 0.742 (0.807) Data 0.003 (0.002) Loss 2.8906 (2.5988) Prec@1 31.875 (36.952) Prec@5 61.875 (67.626) Epoch: [19][3730/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.6647 (2.5989) Prec@1 36.875 (36.950) Prec@5 63.125 (67.623) Epoch: [19][3740/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.4715 (2.5991) Prec@1 41.875 (36.950) Prec@5 68.125 (67.618) Epoch: [19][3750/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6571 (2.5991) Prec@1 33.125 (36.949) Prec@5 61.250 (67.617) Epoch: [19][3760/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.7244 (2.5991) Prec@1 33.125 (36.949) Prec@5 66.250 (67.614) Epoch: [19][3770/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.7909 (2.5991) Prec@1 31.250 (36.946) Prec@5 68.125 (67.612) Epoch: [19][3780/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.5295 (2.5990) Prec@1 37.500 (36.949) Prec@5 67.500 (67.614) Epoch: [19][3790/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.6459 (2.5993) Prec@1 36.875 (36.944) Prec@5 61.875 (67.606) Epoch: [19][3800/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.6549 (2.5993) Prec@1 33.125 (36.941) Prec@5 65.000 (67.608) Epoch: [19][3810/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6677 (2.5994) Prec@1 36.875 (36.942) Prec@5 68.750 (67.604) Epoch: [19][3820/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.4900 (2.5994) Prec@1 43.125 (36.944) Prec@5 65.000 (67.606) Epoch: [19][3830/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.5642 (2.5994) Prec@1 40.625 (36.943) Prec@5 68.125 (67.606) Epoch: [19][3840/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5888 (2.5994) Prec@1 37.500 (36.942) Prec@5 67.500 (67.609) Epoch: [19][3850/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.4221 (2.5994) Prec@1 42.500 (36.942) Prec@5 69.375 (67.608) Epoch: [19][3860/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.5321 (2.5993) Prec@1 43.125 (36.944) Prec@5 70.625 (67.611) Epoch: [19][3870/11272] Time 0.706 (0.807) Data 0.001 (0.002) Loss 2.3628 (2.5995) Prec@1 43.125 (36.940) Prec@5 66.875 (67.611) Epoch: [19][3880/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6129 (2.5994) Prec@1 32.500 (36.938) Prec@5 66.250 (67.613) Epoch: [19][3890/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.5829 (2.5993) Prec@1 36.875 (36.941) Prec@5 67.500 (67.614) Epoch: [19][3900/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.5984 (2.5993) Prec@1 36.250 (36.941) Prec@5 67.500 (67.614) Epoch: [19][3910/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6630 (2.5993) Prec@1 36.875 (36.940) Prec@5 64.375 (67.616) Epoch: [19][3920/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.7962 (2.5995) Prec@1 33.750 (36.936) Prec@5 63.125 (67.610) Epoch: [19][3930/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.6270 (2.5998) Prec@1 35.625 (36.930) Prec@5 65.000 (67.607) Epoch: [19][3940/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.6234 (2.6000) Prec@1 38.750 (36.924) Prec@5 71.250 (67.606) Epoch: [19][3950/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4492 (2.5998) Prec@1 41.875 (36.928) Prec@5 73.125 (67.606) Epoch: [19][3960/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.4567 (2.5996) Prec@1 39.375 (36.936) Prec@5 70.625 (67.610) Epoch: [19][3970/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.8633 (2.5996) Prec@1 33.125 (36.935) Prec@5 67.500 (67.609) Epoch: [19][3980/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.5281 (2.5998) Prec@1 39.375 (36.935) Prec@5 67.500 (67.605) Epoch: [19][3990/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.4414 (2.5997) Prec@1 38.125 (36.932) Prec@5 71.250 (67.603) Epoch: [19][4000/11272] Time 0.884 (0.807) Data 0.001 (0.002) Loss 2.6925 (2.5998) Prec@1 32.500 (36.928) Prec@5 63.125 (67.602) Epoch: [19][4010/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.2850 (2.5996) Prec@1 38.750 (36.930) Prec@5 71.250 (67.604) Epoch: [19][4020/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5596 (2.5998) Prec@1 37.500 (36.921) Prec@5 68.125 (67.600) Epoch: [19][4030/11272] Time 0.722 (0.807) Data 0.001 (0.002) Loss 2.6547 (2.6000) Prec@1 34.375 (36.918) Prec@5 64.375 (67.598) Epoch: [19][4040/11272] Time 0.946 (0.807) Data 0.002 (0.002) Loss 2.6431 (2.5997) Prec@1 32.500 (36.924) Prec@5 65.625 (67.601) Epoch: [19][4050/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5748 (2.5996) Prec@1 40.625 (36.925) Prec@5 66.250 (67.603) Epoch: [19][4060/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6828 (2.5995) Prec@1 33.750 (36.929) Prec@5 68.125 (67.605) Epoch: [19][4070/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5320 (2.5997) Prec@1 34.375 (36.925) Prec@5 71.875 (67.601) Epoch: [19][4080/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.7241 (2.5999) Prec@1 37.500 (36.925) Prec@5 65.625 (67.596) Epoch: [19][4090/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.6864 (2.5997) Prec@1 33.125 (36.931) Prec@5 63.125 (67.597) Epoch: [19][4100/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.5629 (2.5998) Prec@1 33.750 (36.932) Prec@5 65.000 (67.592) Epoch: [19][4110/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.3975 (2.5999) Prec@1 40.000 (36.934) Prec@5 68.750 (67.589) Epoch: [19][4120/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5298 (2.6000) Prec@1 41.250 (36.930) Prec@5 69.375 (67.586) Epoch: [19][4130/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.6184 (2.6000) Prec@1 32.500 (36.931) Prec@5 67.500 (67.585) Epoch: [19][4140/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4565 (2.6003) Prec@1 38.125 (36.929) Prec@5 69.375 (67.579) Epoch: [19][4150/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 2.6853 (2.6004) Prec@1 37.500 (36.933) Prec@5 65.000 (67.574) Epoch: [19][4160/11272] Time 0.855 (0.807) Data 0.001 (0.002) Loss 2.4891 (2.6002) Prec@1 35.000 (36.934) Prec@5 75.625 (67.580) Epoch: [19][4170/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.5144 (2.6002) Prec@1 42.500 (36.933) Prec@5 70.000 (67.582) Epoch: [19][4180/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5263 (2.6003) Prec@1 36.250 (36.929) Prec@5 70.625 (67.577) Epoch: [19][4190/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.5363 (2.6002) Prec@1 40.000 (36.933) Prec@5 66.875 (67.579) Epoch: [19][4200/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.9304 (2.6002) Prec@1 30.625 (36.931) Prec@5 61.250 (67.581) Epoch: [19][4210/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.4302 (2.6002) Prec@1 39.375 (36.931) Prec@5 71.250 (67.579) Epoch: [19][4220/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5295 (2.6003) Prec@1 39.375 (36.931) Prec@5 66.875 (67.576) Epoch: [19][4230/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.9257 (2.6003) Prec@1 33.125 (36.930) Prec@5 62.500 (67.576) Epoch: [19][4240/11272] Time 0.856 (0.807) Data 0.001 (0.002) Loss 2.5729 (2.6003) Prec@1 34.375 (36.931) Prec@5 68.125 (67.577) Epoch: [19][4250/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.5746 (2.6001) Prec@1 35.000 (36.932) Prec@5 71.875 (67.583) Epoch: [19][4260/11272] Time 0.811 (0.807) Data 0.001 (0.002) Loss 2.8923 (2.5999) Prec@1 35.000 (36.936) Prec@5 63.125 (67.587) Epoch: [19][4270/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.3959 (2.6000) Prec@1 42.500 (36.936) Prec@5 70.000 (67.588) Epoch: [19][4280/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.6034 (2.6001) Prec@1 34.375 (36.933) Prec@5 69.375 (67.586) Epoch: [19][4290/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 2.5022 (2.6001) Prec@1 36.250 (36.932) Prec@5 67.500 (67.587) Epoch: [19][4300/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.7270 (2.6000) Prec@1 40.000 (36.934) Prec@5 63.750 (67.586) Epoch: [19][4310/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.6957 (2.6001) Prec@1 34.375 (36.935) Prec@5 65.000 (67.584) Epoch: [19][4320/11272] Time 0.768 (0.807) Data 0.001 (0.002) Loss 2.5942 (2.6001) Prec@1 35.625 (36.935) Prec@5 63.125 (67.585) Epoch: [19][4330/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4005 (2.6000) Prec@1 40.625 (36.940) Prec@5 73.125 (67.587) Epoch: [19][4340/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.5989 (2.6001) Prec@1 34.375 (36.936) Prec@5 66.250 (67.585) Epoch: [19][4350/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.5071 (2.6001) Prec@1 40.000 (36.939) Prec@5 67.500 (67.584) Epoch: [19][4360/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4746 (2.5998) Prec@1 34.375 (36.944) Prec@5 71.250 (67.592) Epoch: [19][4370/11272] Time 0.701 (0.807) Data 0.001 (0.002) Loss 2.3681 (2.5998) Prec@1 38.750 (36.943) Prec@5 75.000 (67.592) Epoch: [19][4380/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.4363 (2.5997) Prec@1 45.000 (36.949) Prec@5 73.125 (67.596) Epoch: [19][4390/11272] Time 0.740 (0.807) Data 0.004 (0.002) Loss 2.6127 (2.5998) Prec@1 41.250 (36.949) Prec@5 64.375 (67.593) Epoch: [19][4400/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.4994 (2.5998) Prec@1 37.500 (36.950) Prec@5 68.125 (67.596) Epoch: [19][4410/11272] Time 0.912 (0.807) Data 0.002 (0.002) Loss 2.7005 (2.5999) Prec@1 34.375 (36.947) Prec@5 66.250 (67.596) Epoch: [19][4420/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.3271 (2.6000) Prec@1 40.625 (36.943) Prec@5 79.375 (67.594) Epoch: [19][4430/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.4275 (2.6001) Prec@1 40.000 (36.946) Prec@5 69.375 (67.592) Epoch: [19][4440/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5648 (2.6002) Prec@1 43.750 (36.941) Prec@5 66.875 (67.591) Epoch: [19][4450/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.5960 (2.6003) Prec@1 39.375 (36.943) Prec@5 68.125 (67.592) Epoch: [19][4460/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.4581 (2.6002) Prec@1 36.250 (36.944) Prec@5 72.500 (67.595) Epoch: [19][4470/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.8838 (2.6002) Prec@1 23.125 (36.941) Prec@5 67.500 (67.597) Epoch: [19][4480/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.5666 (2.6003) Prec@1 35.625 (36.940) Prec@5 70.625 (67.597) Epoch: [19][4490/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 2.6873 (2.6004) Prec@1 33.125 (36.938) Prec@5 62.500 (67.594) Epoch: [19][4500/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.6827 (2.6006) Prec@1 39.375 (36.934) Prec@5 65.625 (67.590) Epoch: [19][4510/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.3567 (2.6006) Prec@1 45.000 (36.935) Prec@5 75.000 (67.589) Epoch: [19][4520/11272] Time 0.922 (0.807) Data 0.002 (0.002) Loss 2.2099 (2.6007) Prec@1 41.250 (36.934) Prec@5 75.000 (67.587) Epoch: [19][4530/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.6798 (2.6007) Prec@1 38.125 (36.937) Prec@5 63.750 (67.587) Epoch: [19][4540/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.7502 (2.6009) Prec@1 38.750 (36.937) Prec@5 61.250 (67.583) Epoch: [19][4550/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 3.0170 (2.6009) Prec@1 30.625 (36.936) Prec@5 53.750 (67.581) Epoch: [19][4560/11272] Time 0.864 (0.807) Data 0.001 (0.002) Loss 2.6670 (2.6009) Prec@1 37.500 (36.935) Prec@5 68.750 (67.581) Epoch: [19][4570/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.4409 (2.6009) Prec@1 41.875 (36.935) Prec@5 72.500 (67.583) Epoch: [19][4580/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.8400 (2.6009) Prec@1 35.625 (36.937) Prec@5 63.125 (67.583) Epoch: [19][4590/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.7162 (2.6009) Prec@1 38.750 (36.940) Prec@5 63.750 (67.585) Epoch: [19][4600/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.8305 (2.6011) Prec@1 31.250 (36.936) Prec@5 63.750 (67.582) Epoch: [19][4610/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.7072 (2.6012) Prec@1 35.625 (36.934) Prec@5 65.625 (67.578) Epoch: [19][4620/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6471 (2.6011) Prec@1 35.000 (36.934) Prec@5 68.750 (67.580) Epoch: [19][4630/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.4460 (2.6010) Prec@1 40.625 (36.936) Prec@5 73.125 (67.582) Epoch: [19][4640/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.6425 (2.6010) Prec@1 35.000 (36.933) Prec@5 67.500 (67.582) Epoch: [19][4650/11272] Time 0.757 (0.807) Data 0.003 (0.002) Loss 2.5819 (2.6010) Prec@1 33.750 (36.929) Prec@5 65.000 (67.583) Epoch: [19][4660/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.4382 (2.6009) Prec@1 43.125 (36.928) Prec@5 70.625 (67.585) Epoch: [19][4670/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 2.5750 (2.6007) Prec@1 39.375 (36.933) Prec@5 68.750 (67.587) Epoch: [19][4680/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.6399 (2.6006) Prec@1 37.500 (36.931) Prec@5 68.125 (67.588) Epoch: [19][4690/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.5654 (2.6007) Prec@1 41.875 (36.931) Prec@5 66.250 (67.585) Epoch: [19][4700/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6268 (2.6009) Prec@1 36.875 (36.932) Prec@5 68.750 (67.584) Epoch: [19][4710/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.6329 (2.6008) Prec@1 36.875 (36.933) Prec@5 71.875 (67.585) Epoch: [19][4720/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.4347 (2.6010) Prec@1 40.625 (36.928) Prec@5 70.625 (67.583) Epoch: [19][4730/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6201 (2.6012) Prec@1 36.875 (36.923) Prec@5 66.250 (67.580) Epoch: [19][4740/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5412 (2.6011) Prec@1 38.750 (36.924) Prec@5 67.500 (67.580) Epoch: [19][4750/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.6343 (2.6009) Prec@1 33.125 (36.925) Prec@5 68.125 (67.583) Epoch: [19][4760/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.4387 (2.6009) Prec@1 40.625 (36.926) Prec@5 71.250 (67.583) Epoch: [19][4770/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.6574 (2.6011) Prec@1 34.375 (36.924) Prec@5 65.625 (67.578) Epoch: [19][4780/11272] Time 0.884 (0.807) Data 0.001 (0.002) Loss 2.7740 (2.6010) Prec@1 38.125 (36.928) Prec@5 66.250 (67.579) Epoch: [19][4790/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5762 (2.6011) Prec@1 36.250 (36.926) Prec@5 66.875 (67.578) Epoch: [19][4800/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.6277 (2.6011) Prec@1 39.375 (36.925) Prec@5 65.000 (67.578) Epoch: [19][4810/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.4327 (2.6010) Prec@1 41.250 (36.925) Prec@5 71.250 (67.580) Epoch: [19][4820/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.4619 (2.6010) Prec@1 38.750 (36.927) Prec@5 70.000 (67.580) Epoch: [19][4830/11272] Time 0.832 (0.807) Data 0.001 (0.002) Loss 2.4405 (2.6010) Prec@1 39.375 (36.926) Prec@5 66.875 (67.580) Epoch: [19][4840/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.4294 (2.6010) Prec@1 37.500 (36.924) Prec@5 70.000 (67.579) Epoch: [19][4850/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.7374 (2.6010) Prec@1 31.875 (36.922) Prec@5 67.500 (67.579) Epoch: [19][4860/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.5898 (2.6009) Prec@1 38.750 (36.926) Prec@5 66.875 (67.580) Epoch: [19][4870/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.6168 (2.6009) Prec@1 36.875 (36.922) Prec@5 68.125 (67.580) Epoch: [19][4880/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.6113 (2.6009) Prec@1 33.750 (36.921) Prec@5 63.750 (67.582) Epoch: [19][4890/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.7750 (2.6010) Prec@1 33.750 (36.922) Prec@5 65.000 (67.580) Epoch: [19][4900/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.5852 (2.6010) Prec@1 38.125 (36.921) Prec@5 63.750 (67.579) Epoch: [19][4910/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.5206 (2.6010) Prec@1 36.250 (36.920) Prec@5 73.125 (67.578) Epoch: [19][4920/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.5662 (2.6011) Prec@1 35.625 (36.921) Prec@5 67.500 (67.577) Epoch: [19][4930/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.5250 (2.6011) Prec@1 35.000 (36.923) Prec@5 73.750 (67.580) Epoch: [19][4940/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.6257 (2.6012) Prec@1 30.625 (36.920) Prec@5 68.750 (67.576) Epoch: [19][4950/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.4346 (2.6012) Prec@1 38.125 (36.921) Prec@5 75.000 (67.576) Epoch: [19][4960/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.6538 (2.6013) Prec@1 35.000 (36.919) Prec@5 64.375 (67.575) Epoch: [19][4970/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.9317 (2.6014) Prec@1 28.125 (36.914) Prec@5 64.375 (67.571) Epoch: [19][4980/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.5501 (2.6015) Prec@1 36.250 (36.910) Prec@5 67.500 (67.568) Epoch: [19][4990/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.7980 (2.6017) Prec@1 31.250 (36.905) Prec@5 67.500 (67.563) Epoch: [19][5000/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.4208 (2.6017) Prec@1 40.000 (36.906) Prec@5 69.375 (67.563) Epoch: [19][5010/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.7937 (2.6015) Prec@1 35.625 (36.907) Prec@5 65.000 (67.569) Epoch: [19][5020/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.7552 (2.6016) Prec@1 31.250 (36.908) Prec@5 65.000 (67.568) Epoch: [19][5030/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6559 (2.6016) Prec@1 38.750 (36.906) Prec@5 65.625 (67.569) Epoch: [19][5040/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.5832 (2.6016) Prec@1 36.250 (36.907) Prec@5 66.875 (67.567) Epoch: [19][5050/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.7395 (2.6016) Prec@1 31.875 (36.906) Prec@5 66.250 (67.569) Epoch: [19][5060/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3711 (2.6018) Prec@1 42.500 (36.904) Prec@5 75.000 (67.566) Epoch: [19][5070/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.5730 (2.6020) Prec@1 37.500 (36.903) Prec@5 65.000 (67.566) Epoch: [19][5080/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.5356 (2.6020) Prec@1 33.125 (36.904) Prec@5 74.375 (67.567) Epoch: [19][5090/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.8030 (2.6021) Prec@1 32.500 (36.902) Prec@5 66.875 (67.566) Epoch: [19][5100/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.4548 (2.6022) Prec@1 39.375 (36.902) Prec@5 68.125 (67.565) Epoch: [19][5110/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 2.7734 (2.6024) Prec@1 34.375 (36.899) Prec@5 67.500 (67.564) Epoch: [19][5120/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.7879 (2.6025) Prec@1 30.000 (36.895) Prec@5 62.500 (67.562) Epoch: [19][5130/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.5399 (2.6024) Prec@1 33.750 (36.896) Prec@5 73.750 (67.565) Epoch: [19][5140/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.6561 (2.6025) Prec@1 35.625 (36.895) Prec@5 65.625 (67.562) Epoch: [19][5150/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.6103 (2.6024) Prec@1 38.125 (36.898) Prec@5 68.125 (67.564) Epoch: [19][5160/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.7272 (2.6024) Prec@1 36.250 (36.897) Prec@5 67.500 (67.565) Epoch: [19][5170/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5148 (2.6024) Prec@1 40.625 (36.896) Prec@5 69.375 (67.566) Epoch: [19][5180/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.3762 (2.6024) Prec@1 41.250 (36.895) Prec@5 71.875 (67.565) Epoch: [19][5190/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.5044 (2.6023) Prec@1 41.875 (36.898) Prec@5 65.000 (67.566) Epoch: [19][5200/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.8517 (2.6024) Prec@1 35.000 (36.895) Prec@5 63.125 (67.563) Epoch: [19][5210/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 3.0933 (2.6025) Prec@1 32.500 (36.894) Prec@5 57.500 (67.560) Epoch: [19][5220/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.7770 (2.6026) Prec@1 38.125 (36.890) Prec@5 65.000 (67.559) Epoch: [19][5230/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.5197 (2.6026) Prec@1 41.250 (36.894) Prec@5 69.375 (67.560) Epoch: [19][5240/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.3783 (2.6024) Prec@1 45.000 (36.898) Prec@5 70.000 (67.562) Epoch: [19][5250/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.5870 (2.6024) Prec@1 37.500 (36.896) Prec@5 70.625 (67.561) Epoch: [19][5260/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6245 (2.6025) Prec@1 36.250 (36.892) Prec@5 62.500 (67.560) Epoch: [19][5270/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.6450 (2.6026) Prec@1 35.000 (36.889) Prec@5 67.500 (67.558) Epoch: [19][5280/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.5362 (2.6026) Prec@1 38.125 (36.888) Prec@5 65.000 (67.556) Epoch: [19][5290/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.6539 (2.6025) Prec@1 34.375 (36.890) Prec@5 68.125 (67.559) Epoch: [19][5300/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.5576 (2.6026) Prec@1 36.875 (36.888) Prec@5 68.125 (67.558) Epoch: [19][5310/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.6307 (2.6026) Prec@1 38.750 (36.888) Prec@5 70.000 (67.560) Epoch: [19][5320/11272] Time 0.745 (0.807) Data 0.003 (0.002) Loss 2.7070 (2.6026) Prec@1 33.125 (36.888) Prec@5 61.875 (67.560) Epoch: [19][5330/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5685 (2.6026) Prec@1 38.125 (36.888) Prec@5 63.125 (67.562) Epoch: [19][5340/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.3816 (2.6026) Prec@1 43.125 (36.887) Prec@5 73.125 (67.559) Epoch: [19][5350/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.4854 (2.6027) Prec@1 37.500 (36.884) Prec@5 69.375 (67.559) Epoch: [19][5360/11272] Time 0.720 (0.807) Data 0.001 (0.002) Loss 2.4300 (2.6028) Prec@1 40.000 (36.882) Prec@5 70.625 (67.558) Epoch: [19][5370/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.6460 (2.6028) Prec@1 38.125 (36.883) Prec@5 65.625 (67.557) Epoch: [19][5380/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.4998 (2.6030) Prec@1 38.750 (36.881) Prec@5 68.750 (67.555) Epoch: [19][5390/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.4273 (2.6030) Prec@1 41.875 (36.882) Prec@5 70.000 (67.554) Epoch: [19][5400/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3670 (2.6031) Prec@1 40.625 (36.878) Prec@5 68.125 (67.551) Epoch: [19][5410/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.6790 (2.6031) Prec@1 31.875 (36.877) Prec@5 66.250 (67.549) Epoch: [19][5420/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.6153 (2.6031) Prec@1 37.500 (36.875) Prec@5 65.000 (67.549) Epoch: [19][5430/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.5983 (2.6030) Prec@1 34.375 (36.875) Prec@5 68.750 (67.551) Epoch: [19][5440/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3087 (2.6029) Prec@1 38.750 (36.877) Prec@5 71.875 (67.552) Epoch: [19][5450/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.5299 (2.6030) Prec@1 36.250 (36.875) Prec@5 65.625 (67.549) Epoch: [19][5460/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.8530 (2.6030) Prec@1 35.000 (36.876) Prec@5 61.250 (67.549) Epoch: [19][5470/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.4878 (2.6029) Prec@1 36.250 (36.876) Prec@5 71.250 (67.550) Epoch: [19][5480/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.8156 (2.6028) Prec@1 34.375 (36.879) Prec@5 61.875 (67.554) Epoch: [19][5490/11272] Time 0.950 (0.807) Data 0.002 (0.002) Loss 2.9090 (2.6028) Prec@1 33.125 (36.879) Prec@5 64.375 (67.554) Epoch: [19][5500/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.7396 (2.6028) Prec@1 35.000 (36.879) Prec@5 67.500 (67.554) Epoch: [19][5510/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.3786 (2.6028) Prec@1 40.625 (36.878) Prec@5 68.750 (67.553) Epoch: [19][5520/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.5600 (2.6027) Prec@1 38.125 (36.879) Prec@5 68.125 (67.554) Epoch: [19][5530/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.6671 (2.6028) Prec@1 31.875 (36.876) Prec@5 65.625 (67.552) Epoch: [19][5540/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.4958 (2.6028) Prec@1 41.875 (36.876) Prec@5 69.375 (67.553) Epoch: [19][5550/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.6919 (2.6028) Prec@1 29.375 (36.872) Prec@5 71.250 (67.553) Epoch: [19][5560/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 3.1287 (2.6028) Prec@1 30.000 (36.872) Prec@5 55.000 (67.553) Epoch: [19][5570/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.5282 (2.6027) Prec@1 32.500 (36.870) Prec@5 71.875 (67.556) Epoch: [19][5580/11272] Time 0.764 (0.807) Data 0.003 (0.002) Loss 2.6348 (2.6028) Prec@1 36.875 (36.872) Prec@5 70.000 (67.555) Epoch: [19][5590/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.8610 (2.6027) Prec@1 33.750 (36.872) Prec@5 66.250 (67.554) Epoch: [19][5600/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6539 (2.6027) Prec@1 35.625 (36.870) Prec@5 68.125 (67.556) Epoch: [19][5610/11272] Time 0.880 (0.807) Data 0.001 (0.002) Loss 2.4996 (2.6026) Prec@1 35.000 (36.874) Prec@5 72.500 (67.559) Epoch: [19][5620/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.3850 (2.6027) Prec@1 44.375 (36.872) Prec@5 70.625 (67.557) Epoch: [19][5630/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.3744 (2.6028) Prec@1 40.000 (36.870) Prec@5 71.250 (67.557) Epoch: [19][5640/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.6316 (2.6029) Prec@1 35.625 (36.868) Prec@5 66.250 (67.554) Epoch: [19][5650/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.5444 (2.6030) Prec@1 37.500 (36.866) Prec@5 66.250 (67.549) Epoch: [19][5660/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.5700 (2.6031) Prec@1 39.375 (36.864) Prec@5 67.500 (67.546) Epoch: [19][5670/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.7795 (2.6031) Prec@1 33.750 (36.865) Prec@5 64.375 (67.547) Epoch: [19][5680/11272] Time 0.926 (0.807) Data 0.002 (0.002) Loss 2.3561 (2.6031) Prec@1 41.250 (36.864) Prec@5 73.750 (67.547) Epoch: [19][5690/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.5235 (2.6030) Prec@1 34.375 (36.864) Prec@5 67.500 (67.547) Epoch: [19][5700/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.4927 (2.6030) Prec@1 40.000 (36.865) Prec@5 73.125 (67.550) Epoch: [19][5710/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 2.4681 (2.6030) Prec@1 36.875 (36.861) Prec@5 66.875 (67.550) Epoch: [19][5720/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.8842 (2.6031) Prec@1 31.250 (36.857) Prec@5 61.250 (67.546) Epoch: [19][5730/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 2.4358 (2.6032) Prec@1 38.750 (36.855) Prec@5 70.000 (67.545) Epoch: [19][5740/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.6608 (2.6033) Prec@1 36.250 (36.851) Prec@5 63.750 (67.544) Epoch: [19][5750/11272] Time 0.925 (0.807) Data 0.003 (0.002) Loss 2.8056 (2.6033) Prec@1 34.375 (36.851) Prec@5 63.750 (67.544) Epoch: [19][5760/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.8514 (2.6034) Prec@1 36.875 (36.849) Prec@5 58.750 (67.543) Epoch: [19][5770/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.5509 (2.6035) Prec@1 36.875 (36.846) Prec@5 66.250 (67.540) Epoch: [19][5780/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6437 (2.6034) Prec@1 34.375 (36.846) Prec@5 65.625 (67.541) Epoch: [19][5790/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.4690 (2.6034) Prec@1 38.125 (36.847) Prec@5 70.625 (67.541) Epoch: [19][5800/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.6260 (2.6034) Prec@1 38.125 (36.848) Prec@5 64.375 (67.539) Epoch: [19][5810/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.3971 (2.6037) Prec@1 42.500 (36.846) Prec@5 66.250 (67.533) Epoch: [19][5820/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.5838 (2.6036) Prec@1 33.750 (36.844) Prec@5 68.750 (67.535) Epoch: [19][5830/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.7713 (2.6038) Prec@1 28.750 (36.838) Prec@5 66.875 (67.532) Epoch: [19][5840/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5999 (2.6037) Prec@1 37.500 (36.841) Prec@5 63.125 (67.534) Epoch: [19][5850/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.5701 (2.6036) Prec@1 36.250 (36.841) Prec@5 71.875 (67.534) Epoch: [19][5860/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.6217 (2.6036) Prec@1 38.750 (36.839) Prec@5 63.125 (67.533) Epoch: [19][5870/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.5181 (2.6036) Prec@1 38.125 (36.838) Prec@5 72.500 (67.531) Epoch: [19][5880/11272] Time 0.702 (0.807) Data 0.001 (0.002) Loss 2.4174 (2.6037) Prec@1 36.250 (36.837) Prec@5 69.375 (67.530) Epoch: [19][5890/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.5659 (2.6037) Prec@1 34.375 (36.837) Prec@5 69.375 (67.530) Epoch: [19][5900/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.9123 (2.6038) Prec@1 28.750 (36.835) Prec@5 61.875 (67.526) Epoch: [19][5910/11272] Time 0.956 (0.807) Data 0.002 (0.002) Loss 2.5896 (2.6038) Prec@1 37.500 (36.837) Prec@5 66.875 (67.526) Epoch: [19][5920/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5789 (2.6038) Prec@1 31.875 (36.835) Prec@5 66.875 (67.525) Epoch: [19][5930/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 2.6387 (2.6039) Prec@1 38.750 (36.836) Prec@5 65.000 (67.525) Epoch: [19][5940/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.6305 (2.6038) Prec@1 40.000 (36.837) Prec@5 66.875 (67.527) Epoch: [19][5950/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.8725 (2.6039) Prec@1 33.125 (36.836) Prec@5 58.125 (67.526) Epoch: [19][5960/11272] Time 0.759 (0.807) Data 0.001 (0.002) Loss 2.5989 (2.6040) Prec@1 36.875 (36.837) Prec@5 70.625 (67.525) Epoch: [19][5970/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.7192 (2.6038) Prec@1 35.000 (36.840) Prec@5 68.125 (67.528) Epoch: [19][5980/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.5377 (2.6038) Prec@1 36.250 (36.840) Prec@5 68.750 (67.530) Epoch: [19][5990/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5451 (2.6039) Prec@1 34.375 (36.839) Prec@5 67.500 (67.528) Epoch: [19][6000/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.7188 (2.6041) Prec@1 30.625 (36.838) Prec@5 70.000 (67.526) Epoch: [19][6010/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.4788 (2.6040) Prec@1 36.250 (36.839) Prec@5 73.750 (67.529) Epoch: [19][6020/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.3763 (2.6040) Prec@1 42.500 (36.840) Prec@5 72.500 (67.529) Epoch: [19][6030/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.7831 (2.6039) Prec@1 36.250 (36.842) Prec@5 63.125 (67.532) Epoch: [19][6040/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.7371 (2.6040) Prec@1 27.500 (36.843) Prec@5 68.750 (67.533) Epoch: [19][6050/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.5516 (2.6039) Prec@1 33.750 (36.843) Prec@5 67.500 (67.534) Epoch: [19][6060/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.3810 (2.6038) Prec@1 37.500 (36.845) Prec@5 71.250 (67.533) Epoch: [19][6070/11272] Time 0.775 (0.807) Data 0.002 (0.002) Loss 2.6026 (2.6038) Prec@1 30.625 (36.845) Prec@5 70.625 (67.534) Epoch: [19][6080/11272] Time 0.710 (0.807) Data 0.001 (0.002) Loss 2.6340 (2.6039) Prec@1 40.625 (36.844) Prec@5 66.875 (67.532) Epoch: [19][6090/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.4308 (2.6039) Prec@1 38.750 (36.845) Prec@5 71.875 (67.533) Epoch: [19][6100/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.5729 (2.6039) Prec@1 34.375 (36.844) Prec@5 71.875 (67.533) Epoch: [19][6110/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.3723 (2.6038) Prec@1 41.250 (36.845) Prec@5 72.500 (67.535) Epoch: [19][6120/11272] Time 0.830 (0.807) Data 0.001 (0.002) Loss 2.5260 (2.6038) Prec@1 35.000 (36.847) Prec@5 71.875 (67.536) Epoch: [19][6130/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.4085 (2.6037) Prec@1 38.125 (36.848) Prec@5 73.750 (67.537) Epoch: [19][6140/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5028 (2.6037) Prec@1 37.500 (36.848) Prec@5 65.625 (67.538) Epoch: [19][6150/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5700 (2.6036) Prec@1 34.375 (36.847) Prec@5 69.375 (67.540) Epoch: [19][6160/11272] Time 0.921 (0.807) Data 0.002 (0.002) Loss 2.5510 (2.6037) Prec@1 37.500 (36.843) Prec@5 66.875 (67.539) Epoch: [19][6170/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.6084 (2.6038) Prec@1 42.500 (36.845) Prec@5 69.375 (67.536) Epoch: [19][6180/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.7363 (2.6038) Prec@1 37.500 (36.847) Prec@5 65.625 (67.537) Epoch: [19][6190/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7652 (2.6039) Prec@1 38.125 (36.844) Prec@5 63.125 (67.535) Epoch: [19][6200/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.5646 (2.6039) Prec@1 36.875 (36.841) Prec@5 66.250 (67.534) Epoch: [19][6210/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.5295 (2.6040) Prec@1 34.375 (36.840) Prec@5 72.500 (67.532) Epoch: [19][6220/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.9671 (2.6040) Prec@1 33.750 (36.842) Prec@5 60.625 (67.529) Epoch: [19][6230/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.5672 (2.6039) Prec@1 38.125 (36.844) Prec@5 68.750 (67.533) Epoch: [19][6240/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 2.4437 (2.6038) Prec@1 40.000 (36.845) Prec@5 71.250 (67.536) Epoch: [19][6250/11272] Time 0.771 (0.807) Data 0.003 (0.002) Loss 2.6346 (2.6039) Prec@1 38.750 (36.843) Prec@5 66.250 (67.537) Epoch: [19][6260/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5412 (2.6038) Prec@1 36.250 (36.845) Prec@5 68.125 (67.539) Epoch: [19][6270/11272] Time 0.929 (0.807) Data 0.002 (0.002) Loss 2.6115 (2.6038) Prec@1 42.500 (36.845) Prec@5 64.375 (67.537) Epoch: [19][6280/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.8617 (2.6039) Prec@1 28.125 (36.843) Prec@5 65.625 (67.536) Epoch: [19][6290/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 3.0374 (2.6039) Prec@1 26.875 (36.841) Prec@5 61.875 (67.537) Epoch: [19][6300/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5628 (2.6039) Prec@1 38.750 (36.843) Prec@5 69.375 (67.537) Epoch: [19][6310/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.7018 (2.6039) Prec@1 38.125 (36.844) Prec@5 63.750 (67.539) Epoch: [19][6320/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.6539 (2.6038) Prec@1 35.000 (36.843) Prec@5 66.250 (67.541) Epoch: [19][6330/11272] Time 0.759 (0.807) Data 0.002 (0.002) Loss 2.7944 (2.6038) Prec@1 34.375 (36.843) Prec@5 61.875 (67.542) Epoch: [19][6340/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6737 (2.6039) Prec@1 35.000 (36.842) Prec@5 68.750 (67.543) Epoch: [19][6350/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.7314 (2.6040) Prec@1 31.875 (36.840) Prec@5 64.375 (67.539) Epoch: [19][6360/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.8435 (2.6039) Prec@1 28.750 (36.841) Prec@5 60.625 (67.540) Epoch: [19][6370/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.6290 (2.6040) Prec@1 42.500 (36.840) Prec@5 65.000 (67.539) Epoch: [19][6380/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.6930 (2.6038) Prec@1 26.250 (36.844) Prec@5 68.750 (67.541) Epoch: [19][6390/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.6490 (2.6037) Prec@1 32.500 (36.845) Prec@5 68.125 (67.543) Epoch: [19][6400/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.5116 (2.6038) Prec@1 34.375 (36.844) Prec@5 75.000 (67.542) Epoch: [19][6410/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.5986 (2.6038) Prec@1 36.875 (36.844) Prec@5 66.875 (67.542) Epoch: [19][6420/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6106 (2.6038) Prec@1 40.625 (36.844) Prec@5 69.375 (67.542) Epoch: [19][6430/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.2340 (2.6038) Prec@1 45.625 (36.845) Prec@5 72.500 (67.541) Epoch: [19][6440/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.8074 (2.6038) Prec@1 36.250 (36.846) Prec@5 66.875 (67.540) Epoch: [19][6450/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7458 (2.6039) Prec@1 38.125 (36.847) Prec@5 65.000 (67.540) Epoch: [19][6460/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.5358 (2.6039) Prec@1 39.375 (36.847) Prec@5 66.250 (67.541) Epoch: [19][6470/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4731 (2.6038) Prec@1 41.875 (36.848) Prec@5 68.750 (67.539) Epoch: [19][6480/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.5511 (2.6038) Prec@1 33.750 (36.847) Prec@5 65.625 (67.539) Epoch: [19][6490/11272] Time 0.761 (0.807) Data 0.001 (0.002) Loss 2.3987 (2.6038) Prec@1 45.000 (36.848) Prec@5 66.250 (67.538) Epoch: [19][6500/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.5910 (2.6037) Prec@1 36.250 (36.848) Prec@5 69.375 (67.541) Epoch: [19][6510/11272] Time 0.762 (0.807) Data 0.003 (0.002) Loss 2.6582 (2.6037) Prec@1 41.250 (36.849) Prec@5 67.500 (67.542) Epoch: [19][6520/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6389 (2.6038) Prec@1 35.000 (36.846) Prec@5 67.500 (67.543) Epoch: [19][6530/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.8269 (2.6037) Prec@1 35.625 (36.848) Prec@5 59.375 (67.544) Epoch: [19][6540/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.5411 (2.6037) Prec@1 36.250 (36.853) Prec@5 65.625 (67.545) Epoch: [19][6550/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.5665 (2.6036) Prec@1 41.875 (36.852) Prec@5 69.375 (67.546) Epoch: [19][6560/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.7604 (2.6036) Prec@1 33.125 (36.853) Prec@5 61.875 (67.546) Epoch: [19][6570/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.2401 (2.6035) Prec@1 48.750 (36.853) Prec@5 76.250 (67.547) Epoch: [19][6580/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.7153 (2.6035) Prec@1 37.500 (36.853) Prec@5 63.750 (67.547) Epoch: [19][6590/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4973 (2.6035) Prec@1 38.125 (36.853) Prec@5 71.250 (67.548) Epoch: [19][6600/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5589 (2.6035) Prec@1 30.000 (36.854) Prec@5 69.375 (67.551) Epoch: [19][6610/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.5927 (2.6035) Prec@1 38.125 (36.853) Prec@5 66.250 (67.549) Epoch: [19][6620/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.4376 (2.6035) Prec@1 36.875 (36.852) Prec@5 69.375 (67.548) Epoch: [19][6630/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.5469 (2.6034) Prec@1 35.625 (36.854) Prec@5 74.375 (67.550) Epoch: [19][6640/11272] Time 0.904 (0.807) Data 0.001 (0.002) Loss 2.3748 (2.6034) Prec@1 41.875 (36.852) Prec@5 68.750 (67.548) Epoch: [19][6650/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.6364 (2.6034) Prec@1 33.750 (36.854) Prec@5 63.125 (67.547) Epoch: [19][6660/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.3848 (2.6035) Prec@1 39.375 (36.853) Prec@5 71.250 (67.543) Epoch: [19][6670/11272] Time 0.724 (0.807) Data 0.002 (0.002) Loss 2.6470 (2.6035) Prec@1 41.875 (36.855) Prec@5 65.625 (67.543) Epoch: [19][6680/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.6750 (2.6035) Prec@1 31.250 (36.855) Prec@5 71.875 (67.545) Epoch: [19][6690/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.7546 (2.6035) Prec@1 30.000 (36.854) Prec@5 63.125 (67.544) Epoch: [19][6700/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 2.7662 (2.6036) Prec@1 32.500 (36.850) Prec@5 62.500 (67.542) Epoch: [19][6710/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5166 (2.6035) Prec@1 39.375 (36.850) Prec@5 73.750 (67.543) Epoch: [19][6720/11272] Time 0.927 (0.807) Data 0.002 (0.002) Loss 2.6952 (2.6035) Prec@1 38.125 (36.850) Prec@5 61.875 (67.543) Epoch: [19][6730/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.6083 (2.6034) Prec@1 39.375 (36.852) Prec@5 66.250 (67.545) Epoch: [19][6740/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.7467 (2.6035) Prec@1 35.000 (36.851) Prec@5 63.125 (67.546) Epoch: [19][6750/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.8505 (2.6036) Prec@1 31.875 (36.848) Prec@5 64.375 (67.543) Epoch: [19][6760/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.8662 (2.6038) Prec@1 33.125 (36.844) Prec@5 63.750 (67.540) Epoch: [19][6770/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.7843 (2.6039) Prec@1 33.750 (36.844) Prec@5 58.125 (67.540) Epoch: [19][6780/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5231 (2.6038) Prec@1 38.125 (36.843) Prec@5 70.000 (67.542) Epoch: [19][6790/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.4250 (2.6039) Prec@1 36.250 (36.842) Prec@5 69.375 (67.540) Epoch: [19][6800/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6214 (2.6039) Prec@1 38.750 (36.842) Prec@5 67.500 (67.538) Epoch: [19][6810/11272] Time 0.751 (0.806) Data 0.002 (0.002) Loss 2.7715 (2.6040) Prec@1 32.500 (36.843) Prec@5 66.875 (67.538) Epoch: [19][6820/11272] Time 0.726 (0.806) Data 0.002 (0.002) Loss 2.6734 (2.6041) Prec@1 33.750 (36.841) Prec@5 65.000 (67.534) Epoch: [19][6830/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.5492 (2.6040) Prec@1 38.125 (36.842) Prec@5 71.250 (67.534) Epoch: [19][6840/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.6192 (2.6040) Prec@1 33.750 (36.842) Prec@5 63.125 (67.534) Epoch: [19][6850/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.3099 (2.6040) Prec@1 38.750 (36.843) Prec@5 74.375 (67.535) Epoch: [19][6860/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.4035 (2.6039) Prec@1 36.875 (36.841) Prec@5 73.750 (67.535) Epoch: [19][6870/11272] Time 0.927 (0.807) Data 0.001 (0.002) Loss 2.7984 (2.6039) Prec@1 33.125 (36.841) Prec@5 63.750 (67.534) Epoch: [19][6880/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.4468 (2.6039) Prec@1 36.250 (36.843) Prec@5 72.500 (67.535) Epoch: [19][6890/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6281 (2.6039) Prec@1 39.375 (36.843) Prec@5 66.875 (67.533) Epoch: [19][6900/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.3026 (2.6040) Prec@1 42.500 (36.841) Prec@5 73.750 (67.533) Epoch: [19][6910/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.5083 (2.6040) Prec@1 36.250 (36.840) Prec@5 68.125 (67.532) Epoch: [19][6920/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.4324 (2.6041) Prec@1 39.375 (36.839) Prec@5 70.000 (67.530) Epoch: [19][6930/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.6508 (2.6040) Prec@1 40.000 (36.840) Prec@5 68.125 (67.530) Epoch: [19][6940/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.7521 (2.6041) Prec@1 37.500 (36.840) Prec@5 63.125 (67.530) Epoch: [19][6950/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.6086 (2.6041) Prec@1 38.125 (36.841) Prec@5 65.000 (67.530) Epoch: [19][6960/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.3936 (2.6040) Prec@1 41.875 (36.843) Prec@5 72.500 (67.532) Epoch: [19][6970/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.7059 (2.6041) Prec@1 31.875 (36.843) Prec@5 67.500 (67.532) Epoch: [19][6980/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.4235 (2.6039) Prec@1 40.000 (36.844) Prec@5 73.750 (67.535) Epoch: [19][6990/11272] Time 0.865 (0.807) Data 0.001 (0.002) Loss 2.7295 (2.6039) Prec@1 31.875 (36.845) Prec@5 66.875 (67.536) Epoch: [19][7000/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5705 (2.6039) Prec@1 33.125 (36.846) Prec@5 70.000 (67.535) Epoch: [19][7010/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.8624 (2.6040) Prec@1 30.000 (36.845) Prec@5 62.500 (67.534) Epoch: [19][7020/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.4468 (2.6041) Prec@1 38.125 (36.843) Prec@5 74.375 (67.534) Epoch: [19][7030/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.3302 (2.6041) Prec@1 46.250 (36.844) Prec@5 71.875 (67.532) Epoch: [19][7040/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.5609 (2.6041) Prec@1 39.375 (36.844) Prec@5 67.500 (67.532) Epoch: [19][7050/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.5303 (2.6042) Prec@1 38.125 (36.841) Prec@5 75.000 (67.531) Epoch: [19][7060/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.6113 (2.6041) Prec@1 34.375 (36.843) Prec@5 63.750 (67.534) Epoch: [19][7070/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.3536 (2.6040) Prec@1 45.625 (36.843) Prec@5 73.125 (67.536) Epoch: [19][7080/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.4879 (2.6040) Prec@1 39.375 (36.844) Prec@5 68.125 (67.534) Epoch: [19][7090/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.6224 (2.6041) Prec@1 39.375 (36.843) Prec@5 68.750 (67.531) Epoch: [19][7100/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.7243 (2.6041) Prec@1 35.625 (36.843) Prec@5 64.375 (67.532) Epoch: [19][7110/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.7898 (2.6041) Prec@1 38.125 (36.843) Prec@5 65.625 (67.531) Epoch: [19][7120/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.4273 (2.6039) Prec@1 37.500 (36.846) Prec@5 75.000 (67.534) Epoch: [19][7130/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.7213 (2.6039) Prec@1 35.625 (36.847) Prec@5 65.625 (67.535) Epoch: [19][7140/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.6638 (2.6039) Prec@1 34.375 (36.846) Prec@5 65.000 (67.534) Epoch: [19][7150/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.9100 (2.6041) Prec@1 33.750 (36.841) Prec@5 63.125 (67.531) Epoch: [19][7160/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7096 (2.6042) Prec@1 33.750 (36.837) Prec@5 66.875 (67.529) Epoch: [19][7170/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.5259 (2.6043) Prec@1 36.875 (36.835) Prec@5 66.875 (67.526) Epoch: [19][7180/11272] Time 0.762 (0.807) Data 0.003 (0.002) Loss 2.5823 (2.6042) Prec@1 39.375 (36.836) Prec@5 66.875 (67.529) Epoch: [19][7190/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.6523 (2.6041) Prec@1 32.500 (36.837) Prec@5 68.750 (67.531) Epoch: [19][7200/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 2.6183 (2.6041) Prec@1 38.750 (36.836) Prec@5 68.750 (67.531) Epoch: [19][7210/11272] Time 0.937 (0.807) Data 0.002 (0.002) Loss 2.6754 (2.6041) Prec@1 36.250 (36.836) Prec@5 63.750 (67.531) Epoch: [19][7220/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.8733 (2.6042) Prec@1 31.875 (36.835) Prec@5 61.875 (67.528) Epoch: [19][7230/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6852 (2.6042) Prec@1 35.625 (36.837) Prec@5 63.125 (67.528) Epoch: [19][7240/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.5696 (2.6042) Prec@1 40.000 (36.837) Prec@5 68.125 (67.529) Epoch: [19][7250/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.6406 (2.6043) Prec@1 36.250 (36.837) Prec@5 63.125 (67.529) Epoch: [19][7260/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.9003 (2.6044) Prec@1 32.500 (36.836) Prec@5 59.375 (67.525) Epoch: [19][7270/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5734 (2.6045) Prec@1 40.625 (36.834) Prec@5 66.250 (67.525) Epoch: [19][7280/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.4364 (2.6043) Prec@1 35.000 (36.835) Prec@5 70.000 (67.527) Epoch: [19][7290/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.4709 (2.6043) Prec@1 44.375 (36.836) Prec@5 68.750 (67.527) Epoch: [19][7300/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.6286 (2.6044) Prec@1 35.000 (36.835) Prec@5 68.750 (67.525) Epoch: [19][7310/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.5572 (2.6044) Prec@1 39.375 (36.836) Prec@5 67.500 (67.526) Epoch: [19][7320/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.5597 (2.6044) Prec@1 37.500 (36.837) Prec@5 68.125 (67.528) Epoch: [19][7330/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.5160 (2.6044) Prec@1 39.375 (36.834) Prec@5 68.750 (67.526) Epoch: [19][7340/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.6073 (2.6045) Prec@1 38.125 (36.832) Prec@5 65.000 (67.525) Epoch: [19][7350/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.4416 (2.6045) Prec@1 44.375 (36.832) Prec@5 70.625 (67.525) Epoch: [19][7360/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.5416 (2.6046) Prec@1 38.750 (36.828) Prec@5 71.875 (67.525) Epoch: [19][7370/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4906 (2.6046) Prec@1 38.750 (36.828) Prec@5 72.500 (67.525) Epoch: [19][7380/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.5575 (2.6046) Prec@1 38.125 (36.826) Prec@5 66.250 (67.525) Epoch: [19][7390/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.3447 (2.6046) Prec@1 43.125 (36.827) Prec@5 74.375 (67.526) Epoch: [19][7400/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.6093 (2.6046) Prec@1 40.000 (36.829) Prec@5 68.125 (67.525) Epoch: [19][7410/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5975 (2.6047) Prec@1 40.000 (36.829) Prec@5 65.000 (67.522) Epoch: [19][7420/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.3671 (2.6046) Prec@1 41.875 (36.828) Prec@5 71.875 (67.524) Epoch: [19][7430/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.2615 (2.6046) Prec@1 43.125 (36.829) Prec@5 75.625 (67.524) Epoch: [19][7440/11272] Time 0.769 (0.807) Data 0.004 (0.002) Loss 2.6249 (2.6047) Prec@1 40.625 (36.829) Prec@5 63.125 (67.523) Epoch: [19][7450/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.7158 (2.6046) Prec@1 34.375 (36.829) Prec@5 65.000 (67.522) Epoch: [19][7460/11272] Time 0.950 (0.807) Data 0.002 (0.002) Loss 2.4335 (2.6045) Prec@1 40.000 (36.834) Prec@5 70.000 (67.524) Epoch: [19][7470/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.5318 (2.6044) Prec@1 38.125 (36.836) Prec@5 70.625 (67.526) Epoch: [19][7480/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.3419 (2.6044) Prec@1 41.250 (36.839) Prec@5 75.000 (67.525) Epoch: [19][7490/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.4808 (2.6044) Prec@1 33.125 (36.837) Prec@5 69.375 (67.525) Epoch: [19][7500/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.6037 (2.6044) Prec@1 35.625 (36.835) Prec@5 66.250 (67.526) Epoch: [19][7510/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.5106 (2.6044) Prec@1 35.625 (36.836) Prec@5 67.500 (67.526) Epoch: [19][7520/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6603 (2.6044) Prec@1 33.125 (36.837) Prec@5 70.625 (67.524) Epoch: [19][7530/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6257 (2.6044) Prec@1 40.625 (36.836) Prec@5 68.125 (67.524) Epoch: [19][7540/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.3970 (2.6044) Prec@1 40.625 (36.835) Prec@5 71.875 (67.526) Epoch: [19][7550/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5519 (2.6044) Prec@1 38.125 (36.836) Prec@5 67.500 (67.526) Epoch: [19][7560/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.5482 (2.6045) Prec@1 36.875 (36.836) Prec@5 70.625 (67.523) Epoch: [19][7570/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.5139 (2.6043) Prec@1 40.625 (36.839) Prec@5 68.125 (67.526) Epoch: [19][7580/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.6960 (2.6044) Prec@1 36.875 (36.835) Prec@5 64.375 (67.524) Epoch: [19][7590/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6303 (2.6045) Prec@1 33.125 (36.833) Prec@5 69.375 (67.523) Epoch: [19][7600/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3593 (2.6045) Prec@1 43.125 (36.831) Prec@5 72.500 (67.524) Epoch: [19][7610/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.4977 (2.6045) Prec@1 40.000 (36.832) Prec@5 70.000 (67.523) Epoch: [19][7620/11272] Time 0.817 (0.807) Data 0.002 (0.002) Loss 2.5865 (2.6045) Prec@1 42.500 (36.832) Prec@5 70.000 (67.523) Epoch: [19][7630/11272] Time 0.717 (0.807) Data 0.001 (0.002) Loss 2.6600 (2.6044) Prec@1 35.625 (36.834) Prec@5 65.000 (67.523) Epoch: [19][7640/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6704 (2.6044) Prec@1 31.875 (36.833) Prec@5 63.750 (67.521) Epoch: [19][7650/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.5744 (2.6045) Prec@1 36.875 (36.831) Prec@5 68.125 (67.519) Epoch: [19][7660/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 2.5996 (2.6045) Prec@1 32.500 (36.831) Prec@5 66.250 (67.519) Epoch: [19][7670/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.9523 (2.6046) Prec@1 30.000 (36.831) Prec@5 57.500 (67.516) Epoch: [19][7680/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.4766 (2.6045) Prec@1 38.125 (36.832) Prec@5 73.750 (67.517) Epoch: [19][7690/11272] Time 0.820 (0.807) Data 0.001 (0.002) Loss 2.6244 (2.6046) Prec@1 37.500 (36.830) Prec@5 66.250 (67.516) Epoch: [19][7700/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.9428 (2.6047) Prec@1 33.750 (36.831) Prec@5 61.875 (67.514) Epoch: [19][7710/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.6687 (2.6048) Prec@1 36.250 (36.831) Prec@5 67.500 (67.511) Epoch: [19][7720/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.7972 (2.6047) Prec@1 34.375 (36.832) Prec@5 65.000 (67.512) Epoch: [19][7730/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5142 (2.6047) Prec@1 41.250 (36.834) Prec@5 65.625 (67.511) Epoch: [19][7740/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.6452 (2.6047) Prec@1 35.625 (36.833) Prec@5 63.125 (67.512) Epoch: [19][7750/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.7476 (2.6047) Prec@1 35.625 (36.833) Prec@5 67.500 (67.512) Epoch: [19][7760/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.6844 (2.6046) Prec@1 31.875 (36.835) Prec@5 66.875 (67.513) Epoch: [19][7770/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.6034 (2.6046) Prec@1 31.875 (36.834) Prec@5 67.500 (67.514) Epoch: [19][7780/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 2.5409 (2.6046) Prec@1 35.000 (36.834) Prec@5 66.875 (67.513) Epoch: [19][7790/11272] Time 0.711 (0.807) Data 0.001 (0.002) Loss 2.6231 (2.6047) Prec@1 38.750 (36.831) Prec@5 67.500 (67.514) Epoch: [19][7800/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.5402 (2.6048) Prec@1 35.000 (36.831) Prec@5 71.250 (67.512) Epoch: [19][7810/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.5138 (2.6048) Prec@1 37.500 (36.829) Prec@5 70.000 (67.513) Epoch: [19][7820/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.5050 (2.6048) Prec@1 40.625 (36.828) Prec@5 69.375 (67.512) Epoch: [19][7830/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.7101 (2.6049) Prec@1 33.750 (36.826) Prec@5 70.625 (67.511) Epoch: [19][7840/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.9041 (2.6050) Prec@1 30.625 (36.825) Prec@5 67.500 (67.509) Epoch: [19][7850/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4236 (2.6049) Prec@1 42.500 (36.826) Prec@5 73.750 (67.510) Epoch: [19][7860/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6815 (2.6049) Prec@1 32.500 (36.824) Prec@5 67.500 (67.511) Epoch: [19][7870/11272] Time 0.909 (0.807) Data 0.002 (0.002) Loss 2.6630 (2.6050) Prec@1 39.375 (36.822) Prec@5 68.750 (67.510) Epoch: [19][7880/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.6869 (2.6049) Prec@1 38.125 (36.824) Prec@5 66.250 (67.510) Epoch: [19][7890/11272] Time 0.774 (0.807) Data 0.001 (0.002) Loss 2.4814 (2.6048) Prec@1 43.125 (36.825) Prec@5 70.000 (67.512) Epoch: [19][7900/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6525 (2.6049) Prec@1 32.500 (36.825) Prec@5 67.500 (67.513) Epoch: [19][7910/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.8150 (2.6049) Prec@1 30.000 (36.824) Prec@5 65.625 (67.512) Epoch: [19][7920/11272] Time 0.833 (0.807) Data 0.001 (0.002) Loss 2.6569 (2.6048) Prec@1 33.750 (36.823) Prec@5 66.875 (67.515) Epoch: [19][7930/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.8444 (2.6049) Prec@1 34.375 (36.820) Prec@5 68.750 (67.513) Epoch: [19][7940/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.3266 (2.6049) Prec@1 43.750 (36.820) Prec@5 77.500 (67.514) Epoch: [19][7950/11272] Time 0.850 (0.807) Data 0.003 (0.002) Loss 2.5934 (2.6048) Prec@1 35.000 (36.820) Prec@5 73.125 (67.515) Epoch: [19][7960/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.7580 (2.6049) Prec@1 29.375 (36.818) Prec@5 66.875 (67.515) Epoch: [19][7970/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.7074 (2.6049) Prec@1 36.875 (36.816) Prec@5 59.375 (67.513) Epoch: [19][7980/11272] Time 0.807 (0.807) Data 0.001 (0.002) Loss 2.5218 (2.6049) Prec@1 38.750 (36.816) Prec@5 68.750 (67.512) Epoch: [19][7990/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.2737 (2.6049) Prec@1 47.500 (36.815) Prec@5 73.125 (67.511) Epoch: [19][8000/11272] Time 0.775 (0.807) Data 0.002 (0.002) Loss 2.7529 (2.6050) Prec@1 26.875 (36.814) Prec@5 69.375 (67.511) Epoch: [19][8010/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.4833 (2.6049) Prec@1 38.750 (36.815) Prec@5 73.750 (67.513) Epoch: [19][8020/11272] Time 0.899 (0.806) Data 0.001 (0.002) Loss 2.5351 (2.6049) Prec@1 43.125 (36.815) Prec@5 68.750 (67.513) Epoch: [19][8030/11272] Time 0.866 (0.806) Data 0.001 (0.002) Loss 2.5805 (2.6050) Prec@1 34.375 (36.813) Prec@5 68.125 (67.513) Epoch: [19][8040/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7526 (2.6050) Prec@1 35.625 (36.813) Prec@5 65.625 (67.512) Epoch: [19][8050/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6631 (2.6049) Prec@1 35.625 (36.814) Prec@5 66.250 (67.514) Epoch: [19][8060/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.5518 (2.6048) Prec@1 41.250 (36.815) Prec@5 70.625 (67.515) Epoch: [19][8070/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.4925 (2.6048) Prec@1 38.750 (36.817) Prec@5 66.875 (67.515) Epoch: [19][8080/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.8216 (2.6048) Prec@1 38.750 (36.817) Prec@5 58.125 (67.513) Epoch: [19][8090/11272] Time 0.761 (0.806) Data 0.002 (0.002) Loss 2.2099 (2.6048) Prec@1 48.125 (36.819) Prec@5 75.000 (67.513) Epoch: [19][8100/11272] Time 0.907 (0.806) Data 0.001 (0.002) Loss 2.6063 (2.6048) Prec@1 40.000 (36.819) Prec@5 66.875 (67.512) Epoch: [19][8110/11272] Time 0.817 (0.806) Data 0.003 (0.002) Loss 2.8169 (2.6048) Prec@1 33.125 (36.820) Prec@5 63.125 (67.513) Epoch: [19][8120/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.6821 (2.6048) Prec@1 35.625 (36.820) Prec@5 63.750 (67.512) Epoch: [19][8130/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.3303 (2.6047) Prec@1 41.875 (36.821) Prec@5 76.250 (67.514) Epoch: [19][8140/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.4136 (2.6046) Prec@1 41.875 (36.821) Prec@5 69.375 (67.514) Epoch: [19][8150/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.6373 (2.6046) Prec@1 34.375 (36.821) Prec@5 66.875 (67.515) Epoch: [19][8160/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7258 (2.6045) Prec@1 36.250 (36.823) Prec@5 67.500 (67.517) Epoch: [19][8170/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.6832 (2.6046) Prec@1 38.750 (36.821) Prec@5 63.750 (67.515) Epoch: [19][8180/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.6511 (2.6047) Prec@1 31.250 (36.819) Prec@5 66.250 (67.513) Epoch: [19][8190/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.4149 (2.6046) Prec@1 40.000 (36.820) Prec@5 72.500 (67.515) Epoch: [19][8200/11272] Time 0.752 (0.806) Data 0.003 (0.002) Loss 2.6662 (2.6046) Prec@1 36.250 (36.819) Prec@5 66.250 (67.513) Epoch: [19][8210/11272] Time 0.933 (0.806) Data 0.002 (0.002) Loss 2.5376 (2.6046) Prec@1 37.500 (36.818) Prec@5 66.250 (67.513) Epoch: [19][8220/11272] Time 0.851 (0.806) Data 0.001 (0.002) Loss 2.6859 (2.6047) Prec@1 38.750 (36.818) Prec@5 67.500 (67.510) Epoch: [19][8230/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.9799 (2.6047) Prec@1 33.125 (36.818) Prec@5 61.875 (67.509) Epoch: [19][8240/11272] Time 0.791 (0.806) Data 0.001 (0.002) Loss 2.8895 (2.6048) Prec@1 28.125 (36.816) Prec@5 61.250 (67.508) Epoch: [19][8250/11272] Time 0.845 (0.806) Data 0.001 (0.002) Loss 2.5802 (2.6049) Prec@1 41.250 (36.818) Prec@5 69.375 (67.509) Epoch: [19][8260/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.5472 (2.6048) Prec@1 33.125 (36.818) Prec@5 63.750 (67.509) Epoch: [19][8270/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.7316 (2.6049) Prec@1 31.250 (36.817) Prec@5 66.250 (67.509) Epoch: [19][8280/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.7000 (2.6050) Prec@1 33.125 (36.816) Prec@5 66.250 (67.508) Epoch: [19][8290/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.7569 (2.6049) Prec@1 35.625 (36.817) Prec@5 66.875 (67.508) Epoch: [19][8300/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.5045 (2.6050) Prec@1 36.875 (36.817) Prec@5 66.250 (67.506) Epoch: [19][8310/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.4234 (2.6049) Prec@1 40.625 (36.818) Prec@5 75.625 (67.509) Epoch: [19][8320/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.6246 (2.6049) Prec@1 36.875 (36.818) Prec@5 65.625 (67.510) Epoch: [19][8330/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.8144 (2.6050) Prec@1 32.500 (36.815) Prec@5 63.750 (67.509) Epoch: [19][8340/11272] Time 0.716 (0.806) Data 0.001 (0.002) Loss 2.8522 (2.6050) Prec@1 33.125 (36.814) Prec@5 60.000 (67.509) Epoch: [19][8350/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.5517 (2.6049) Prec@1 35.625 (36.815) Prec@5 65.625 (67.510) Epoch: [19][8360/11272] Time 0.859 (0.806) Data 0.001 (0.002) Loss 2.6989 (2.6050) Prec@1 42.500 (36.815) Prec@5 61.875 (67.508) Epoch: [19][8370/11272] Time 0.824 (0.806) Data 0.003 (0.002) Loss 2.9210 (2.6051) Prec@1 30.625 (36.816) Prec@5 63.125 (67.506) Epoch: [19][8380/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.7116 (2.6052) Prec@1 33.125 (36.813) Prec@5 56.875 (67.502) Epoch: [19][8390/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.6797 (2.6052) Prec@1 36.250 (36.813) Prec@5 68.125 (67.504) Epoch: [19][8400/11272] Time 0.925 (0.806) Data 0.002 (0.002) Loss 2.6044 (2.6052) Prec@1 38.750 (36.813) Prec@5 68.125 (67.503) Epoch: [19][8410/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6606 (2.6052) Prec@1 36.250 (36.812) Prec@5 65.625 (67.503) Epoch: [19][8420/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6433 (2.6053) Prec@1 41.250 (36.813) Prec@5 68.750 (67.502) Epoch: [19][8430/11272] Time 0.897 (0.806) Data 0.001 (0.002) Loss 2.3924 (2.6052) Prec@1 36.250 (36.814) Prec@5 73.125 (67.503) Epoch: [19][8440/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.5706 (2.6052) Prec@1 37.500 (36.817) Prec@5 63.750 (67.503) Epoch: [19][8450/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 3.0346 (2.6051) Prec@1 37.500 (36.819) Prec@5 59.375 (67.503) Epoch: [19][8460/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4759 (2.6052) Prec@1 36.875 (36.819) Prec@5 66.250 (67.504) Epoch: [19][8470/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.5742 (2.6052) Prec@1 40.625 (36.819) Prec@5 68.125 (67.505) Epoch: [19][8480/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 2.6002 (2.6052) Prec@1 38.750 (36.818) Prec@5 63.750 (67.503) Epoch: [19][8490/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.1816 (2.6051) Prec@1 46.250 (36.820) Prec@5 78.750 (67.506) Epoch: [19][8500/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.6084 (2.6051) Prec@1 38.125 (36.821) Prec@5 66.250 (67.506) Epoch: [19][8510/11272] Time 0.862 (0.806) Data 0.001 (0.002) Loss 2.6231 (2.6052) Prec@1 38.750 (36.820) Prec@5 64.375 (67.505) Epoch: [19][8520/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.5056 (2.6052) Prec@1 37.500 (36.819) Prec@5 68.750 (67.505) Epoch: [19][8530/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.6763 (2.6051) Prec@1 32.500 (36.818) Prec@5 63.125 (67.506) Epoch: [19][8540/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.6396 (2.6051) Prec@1 39.375 (36.817) Prec@5 66.875 (67.505) Epoch: [19][8550/11272] Time 0.897 (0.806) Data 0.002 (0.002) Loss 2.5911 (2.6052) Prec@1 31.250 (36.818) Prec@5 73.125 (67.505) Epoch: [19][8560/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.6137 (2.6052) Prec@1 38.125 (36.819) Prec@5 70.000 (67.505) Epoch: [19][8570/11272] Time 0.765 (0.806) Data 0.002 (0.002) Loss 2.5131 (2.6051) Prec@1 37.500 (36.818) Prec@5 64.375 (67.505) Epoch: [19][8580/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.4080 (2.6052) Prec@1 35.625 (36.818) Prec@5 69.375 (67.503) Epoch: [19][8590/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.8572 (2.6052) Prec@1 35.000 (36.817) Prec@5 62.500 (67.501) Epoch: [19][8600/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.5004 (2.6053) Prec@1 34.375 (36.816) Prec@5 66.250 (67.500) Epoch: [19][8610/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4680 (2.6052) Prec@1 40.625 (36.816) Prec@5 69.375 (67.502) Epoch: [19][8620/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.5089 (2.6052) Prec@1 32.500 (36.815) Prec@5 70.000 (67.503) Epoch: [19][8630/11272] Time 0.918 (0.806) Data 0.002 (0.002) Loss 2.6407 (2.6052) Prec@1 35.000 (36.815) Prec@5 66.875 (67.504) Epoch: [19][8640/11272] Time 0.703 (0.806) Data 0.001 (0.002) Loss 2.8417 (2.6051) Prec@1 33.750 (36.815) Prec@5 61.250 (67.504) Epoch: [19][8650/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 2.5169 (2.6051) Prec@1 36.250 (36.815) Prec@5 73.750 (67.503) Epoch: [19][8660/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.5007 (2.6051) Prec@1 38.750 (36.816) Prec@5 68.125 (67.504) Epoch: [19][8670/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.7493 (2.6051) Prec@1 33.125 (36.814) Prec@5 65.625 (67.503) Epoch: [19][8680/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.7307 (2.6051) Prec@1 35.000 (36.814) Prec@5 66.875 (67.504) Epoch: [19][8690/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.6510 (2.6050) Prec@1 36.875 (36.817) Prec@5 70.000 (67.507) Epoch: [19][8700/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.7662 (2.6049) Prec@1 35.625 (36.817) Prec@5 66.875 (67.509) Epoch: [19][8710/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.7361 (2.6050) Prec@1 33.125 (36.816) Prec@5 65.625 (67.508) Epoch: [19][8720/11272] Time 0.732 (0.806) Data 0.002 (0.002) Loss 2.7591 (2.6051) Prec@1 31.250 (36.814) Prec@5 66.875 (67.507) Epoch: [19][8730/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.8151 (2.6051) Prec@1 38.125 (36.814) Prec@5 63.750 (67.505) Epoch: [19][8740/11272] Time 0.830 (0.807) Data 0.001 (0.002) Loss 2.5495 (2.6053) Prec@1 38.750 (36.812) Prec@5 69.375 (67.503) Epoch: [19][8750/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.6363 (2.6053) Prec@1 36.250 (36.814) Prec@5 68.750 (67.503) Epoch: [19][8760/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7043 (2.6052) Prec@1 33.125 (36.815) Prec@5 66.250 (67.504) Epoch: [19][8770/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.6747 (2.6052) Prec@1 39.375 (36.814) Prec@5 65.625 (67.504) Epoch: [19][8780/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.4523 (2.6053) Prec@1 36.250 (36.813) Prec@5 67.500 (67.504) Epoch: [19][8790/11272] Time 0.718 (0.807) Data 0.000 (0.002) Loss 2.8293 (2.6053) Prec@1 35.000 (36.811) Prec@5 63.750 (67.504) Epoch: [19][8800/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.5369 (2.6052) Prec@1 41.250 (36.814) Prec@5 68.125 (67.505) Epoch: [19][8810/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.6885 (2.6051) Prec@1 32.500 (36.815) Prec@5 64.375 (67.505) Epoch: [19][8820/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.5247 (2.6051) Prec@1 38.750 (36.816) Prec@5 67.500 (67.503) Epoch: [19][8830/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.3193 (2.6051) Prec@1 41.250 (36.815) Prec@5 76.250 (67.504) Epoch: [19][8840/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.5673 (2.6051) Prec@1 41.250 (36.815) Prec@5 67.500 (67.504) Epoch: [19][8850/11272] Time 0.889 (0.807) Data 0.001 (0.002) Loss 2.7619 (2.6051) Prec@1 35.625 (36.814) Prec@5 66.875 (67.504) Epoch: [19][8860/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.6843 (2.6051) Prec@1 36.250 (36.816) Prec@5 69.375 (67.505) Epoch: [19][8870/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7318 (2.6051) Prec@1 33.750 (36.817) Prec@5 65.625 (67.505) Epoch: [19][8880/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.8543 (2.6050) Prec@1 28.750 (36.817) Prec@5 58.750 (67.505) Epoch: [19][8890/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.5220 (2.6050) Prec@1 38.125 (36.818) Prec@5 67.500 (67.505) Epoch: [19][8900/11272] Time 0.760 (0.807) Data 0.001 (0.002) Loss 2.5496 (2.6050) Prec@1 39.375 (36.818) Prec@5 68.750 (67.506) Epoch: [19][8910/11272] Time 0.889 (0.807) Data 0.001 (0.002) Loss 2.7396 (2.6052) Prec@1 38.125 (36.816) Prec@5 61.250 (67.503) Epoch: [19][8920/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.7049 (2.6052) Prec@1 36.250 (36.814) Prec@5 65.625 (67.502) Epoch: [19][8930/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.3905 (2.6052) Prec@1 41.875 (36.813) Prec@5 66.875 (67.502) Epoch: [19][8940/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.9515 (2.6053) Prec@1 30.000 (36.810) Prec@5 66.250 (67.502) Epoch: [19][8950/11272] Time 0.937 (0.807) Data 0.003 (0.002) Loss 2.7402 (2.6054) Prec@1 32.500 (36.809) Prec@5 65.000 (67.501) Epoch: [19][8960/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.6322 (2.6053) Prec@1 37.500 (36.810) Prec@5 63.750 (67.501) Epoch: [19][8970/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.4074 (2.6053) Prec@1 39.375 (36.809) Prec@5 70.000 (67.502) Epoch: [19][8980/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.4740 (2.6052) Prec@1 36.875 (36.808) Prec@5 71.250 (67.504) Epoch: [19][8990/11272] Time 0.884 (0.807) Data 0.003 (0.002) Loss 2.6727 (2.6052) Prec@1 36.875 (36.808) Prec@5 65.000 (67.504) Epoch: [19][9000/11272] Time 0.867 (0.807) Data 0.001 (0.002) Loss 2.6436 (2.6052) Prec@1 40.000 (36.808) Prec@5 65.000 (67.503) Epoch: [19][9010/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.5285 (2.6051) Prec@1 35.625 (36.810) Prec@5 70.625 (67.505) Epoch: [19][9020/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.5972 (2.6051) Prec@1 37.500 (36.812) Prec@5 70.625 (67.505) Epoch: [19][9030/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.3154 (2.6050) Prec@1 45.000 (36.813) Prec@5 73.125 (67.507) Epoch: [19][9040/11272] Time 0.756 (0.807) Data 0.003 (0.002) Loss 2.6328 (2.6049) Prec@1 35.000 (36.813) Prec@5 70.625 (67.508) Epoch: [19][9050/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.7474 (2.6049) Prec@1 31.875 (36.813) Prec@5 66.250 (67.507) Epoch: [19][9060/11272] Time 0.895 (0.807) Data 0.002 (0.002) Loss 2.8540 (2.6049) Prec@1 31.250 (36.814) Prec@5 64.375 (67.507) Epoch: [19][9070/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6603 (2.6049) Prec@1 37.500 (36.816) Prec@5 64.375 (67.507) Epoch: [19][9080/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.2727 (2.6049) Prec@1 43.125 (36.816) Prec@5 73.125 (67.507) Epoch: [19][9090/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.3815 (2.6049) Prec@1 37.500 (36.816) Prec@5 72.500 (67.506) Epoch: [19][9100/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.6845 (2.6049) Prec@1 35.000 (36.817) Prec@5 65.625 (67.505) Epoch: [19][9110/11272] Time 0.847 (0.807) Data 0.001 (0.002) Loss 2.6248 (2.6049) Prec@1 38.125 (36.819) Prec@5 65.625 (67.504) Epoch: [19][9120/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5365 (2.6049) Prec@1 40.625 (36.817) Prec@5 67.500 (67.503) Epoch: [19][9130/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.6778 (2.6050) Prec@1 35.625 (36.816) Prec@5 65.000 (67.500) Epoch: [19][9140/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.4875 (2.6050) Prec@1 36.250 (36.816) Prec@5 66.875 (67.502) Epoch: [19][9150/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.6979 (2.6049) Prec@1 38.750 (36.817) Prec@5 68.750 (67.502) Epoch: [19][9160/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.7850 (2.6050) Prec@1 38.750 (36.818) Prec@5 65.000 (67.500) Epoch: [19][9170/11272] Time 0.828 (0.807) Data 0.002 (0.002) Loss 2.7550 (2.6050) Prec@1 35.000 (36.818) Prec@5 62.500 (67.499) Epoch: [19][9180/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.3349 (2.6050) Prec@1 43.750 (36.819) Prec@5 73.750 (67.499) Epoch: [19][9190/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.6224 (2.6050) Prec@1 35.000 (36.818) Prec@5 68.750 (67.500) Epoch: [19][9200/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.7476 (2.6049) Prec@1 38.125 (36.820) Prec@5 61.250 (67.501) Epoch: [19][9210/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 2.5439 (2.6050) Prec@1 36.250 (36.819) Prec@5 68.750 (67.500) Epoch: [19][9220/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.5573 (2.6049) Prec@1 39.375 (36.819) Prec@5 71.250 (67.502) Epoch: [19][9230/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 2.6405 (2.6049) Prec@1 35.625 (36.819) Prec@5 70.625 (67.502) Epoch: [19][9240/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5981 (2.6049) Prec@1 33.750 (36.819) Prec@5 69.375 (67.503) Epoch: [19][9250/11272] Time 0.904 (0.807) Data 0.001 (0.002) Loss 2.5604 (2.6050) Prec@1 36.875 (36.817) Prec@5 71.250 (67.501) Epoch: [19][9260/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6601 (2.6050) Prec@1 35.625 (36.816) Prec@5 69.375 (67.503) Epoch: [19][9270/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.3124 (2.6050) Prec@1 47.500 (36.818) Prec@5 71.250 (67.503) Epoch: [19][9280/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5167 (2.6050) Prec@1 35.000 (36.816) Prec@5 71.875 (67.504) Epoch: [19][9290/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.7568 (2.6051) Prec@1 38.125 (36.816) Prec@5 63.125 (67.503) Epoch: [19][9300/11272] Time 0.760 (0.807) Data 0.003 (0.002) Loss 2.4907 (2.6050) Prec@1 42.500 (36.818) Prec@5 67.500 (67.504) Epoch: [19][9310/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.6089 (2.6050) Prec@1 40.000 (36.818) Prec@5 63.125 (67.504) Epoch: [19][9320/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.4935 (2.6049) Prec@1 34.375 (36.817) Prec@5 68.750 (67.505) Epoch: [19][9330/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.6306 (2.6049) Prec@1 38.125 (36.817) Prec@5 68.125 (67.506) Epoch: [19][9340/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 2.5657 (2.6050) Prec@1 41.250 (36.817) Prec@5 70.000 (67.504) Epoch: [19][9350/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.7018 (2.6051) Prec@1 39.375 (36.817) Prec@5 61.875 (67.502) Epoch: [19][9360/11272] Time 0.927 (0.807) Data 0.001 (0.002) Loss 2.5552 (2.6050) Prec@1 30.625 (36.817) Prec@5 75.000 (67.504) Epoch: [19][9370/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.6889 (2.6050) Prec@1 35.000 (36.818) Prec@5 68.750 (67.506) Epoch: [19][9380/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.5796 (2.6050) Prec@1 38.125 (36.817) Prec@5 67.500 (67.504) Epoch: [19][9390/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6183 (2.6050) Prec@1 33.125 (36.818) Prec@5 68.750 (67.505) Epoch: [19][9400/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.5539 (2.6050) Prec@1 35.625 (36.818) Prec@5 72.500 (67.507) Epoch: [19][9410/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.5699 (2.6050) Prec@1 40.625 (36.819) Prec@5 71.250 (67.506) Epoch: [19][9420/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.8602 (2.6050) Prec@1 30.625 (36.819) Prec@5 61.875 (67.506) Epoch: [19][9430/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.5011 (2.6050) Prec@1 34.375 (36.821) Prec@5 70.000 (67.506) Epoch: [19][9440/11272] Time 0.915 (0.807) Data 0.002 (0.002) Loss 2.3667 (2.6049) Prec@1 39.375 (36.820) Prec@5 71.875 (67.509) Epoch: [19][9450/11272] Time 0.780 (0.807) Data 0.001 (0.002) Loss 2.5180 (2.6049) Prec@1 37.500 (36.821) Prec@5 64.375 (67.509) Epoch: [19][9460/11272] Time 0.717 (0.807) Data 0.001 (0.002) Loss 2.6247 (2.6049) Prec@1 34.375 (36.820) Prec@5 68.750 (67.510) Epoch: [19][9470/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 2.7789 (2.6049) Prec@1 32.500 (36.821) Prec@5 62.500 (67.510) Epoch: [19][9480/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.5137 (2.6048) Prec@1 37.500 (36.823) Prec@5 69.375 (67.511) Epoch: [19][9490/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.5638 (2.6048) Prec@1 33.750 (36.821) Prec@5 68.750 (67.511) Epoch: [19][9500/11272] Time 0.714 (0.807) Data 0.001 (0.002) Loss 2.5229 (2.6048) Prec@1 40.625 (36.823) Prec@5 76.875 (67.512) Epoch: [19][9510/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6914 (2.6047) Prec@1 33.750 (36.823) Prec@5 70.625 (67.515) Epoch: [19][9520/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.6997 (2.6047) Prec@1 31.250 (36.823) Prec@5 68.125 (67.517) Epoch: [19][9530/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.6351 (2.6047) Prec@1 39.375 (36.822) Prec@5 69.375 (67.518) Epoch: [19][9540/11272] Time 0.705 (0.807) Data 0.001 (0.002) Loss 2.6471 (2.6047) Prec@1 37.500 (36.823) Prec@5 65.625 (67.517) Epoch: [19][9550/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.4068 (2.6048) Prec@1 41.250 (36.820) Prec@5 71.250 (67.515) Epoch: [19][9560/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.5567 (2.6049) Prec@1 39.375 (36.820) Prec@5 68.125 (67.515) Epoch: [19][9570/11272] Time 0.711 (0.807) Data 0.001 (0.002) Loss 2.5356 (2.6050) Prec@1 38.750 (36.817) Prec@5 69.375 (67.512) Epoch: [19][9580/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.3931 (2.6049) Prec@1 41.875 (36.818) Prec@5 71.250 (67.513) Epoch: [19][9590/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5942 (2.6048) Prec@1 38.750 (36.821) Prec@5 66.875 (67.514) Epoch: [19][9600/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.8383 (2.6048) Prec@1 33.125 (36.819) Prec@5 61.875 (67.513) Epoch: [19][9610/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6161 (2.6049) Prec@1 35.000 (36.818) Prec@5 65.000 (67.513) Epoch: [19][9620/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 3.0219 (2.6049) Prec@1 31.250 (36.818) Prec@5 61.250 (67.514) Epoch: [19][9630/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.6820 (2.6049) Prec@1 33.750 (36.816) Prec@5 68.125 (67.512) Epoch: [19][9640/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.8448 (2.6049) Prec@1 33.125 (36.814) Prec@5 61.875 (67.513) Epoch: [19][9650/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.8275 (2.6050) Prec@1 33.125 (36.812) Prec@5 64.375 (67.511) Epoch: [19][9660/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.4269 (2.6050) Prec@1 40.625 (36.813) Prec@5 74.375 (67.512) Epoch: [19][9670/11272] Time 0.829 (0.807) Data 0.002 (0.002) Loss 2.5965 (2.6050) Prec@1 39.375 (36.811) Prec@5 69.375 (67.513) Epoch: [19][9680/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.4224 (2.6050) Prec@1 40.000 (36.812) Prec@5 69.375 (67.512) Epoch: [19][9690/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.7289 (2.6050) Prec@1 36.250 (36.813) Prec@5 66.875 (67.513) Epoch: [19][9700/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.9797 (2.6050) Prec@1 30.625 (36.813) Prec@5 63.750 (67.514) Epoch: [19][9710/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.9710 (2.6051) Prec@1 31.875 (36.812) Prec@5 59.375 (67.513) Epoch: [19][9720/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5940 (2.6051) Prec@1 35.000 (36.812) Prec@5 67.500 (67.512) Epoch: [19][9730/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.6048 (2.6051) Prec@1 35.625 (36.811) Prec@5 66.875 (67.511) Epoch: [19][9740/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.3655 (2.6051) Prec@1 43.750 (36.811) Prec@5 71.875 (67.513) Epoch: [19][9750/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.9094 (2.6051) Prec@1 28.750 (36.810) Prec@5 65.000 (67.512) Epoch: [19][9760/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.8657 (2.6051) Prec@1 29.375 (36.810) Prec@5 60.625 (67.513) Epoch: [19][9770/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.7683 (2.6051) Prec@1 33.125 (36.810) Prec@5 65.625 (67.514) Epoch: [19][9780/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.6372 (2.6052) Prec@1 35.625 (36.809) Prec@5 66.875 (67.512) Epoch: [19][9790/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.8534 (2.6052) Prec@1 29.375 (36.808) Prec@5 57.500 (67.512) Epoch: [19][9800/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7258 (2.6052) Prec@1 36.250 (36.810) Prec@5 65.625 (67.512) Epoch: [19][9810/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.7428 (2.6053) Prec@1 33.750 (36.809) Prec@5 63.750 (67.511) Epoch: [19][9820/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.3601 (2.6053) Prec@1 43.125 (36.808) Prec@5 70.625 (67.510) Epoch: [19][9830/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.3336 (2.6052) Prec@1 40.000 (36.809) Prec@5 71.875 (67.513) Epoch: [19][9840/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.5188 (2.6052) Prec@1 36.250 (36.808) Prec@5 66.875 (67.513) Epoch: [19][9850/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 2.6580 (2.6052) Prec@1 38.125 (36.807) Prec@5 69.375 (67.513) Epoch: [19][9860/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.4313 (2.6052) Prec@1 40.000 (36.807) Prec@5 70.000 (67.514) Epoch: [19][9870/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.8883 (2.6052) Prec@1 34.375 (36.807) Prec@5 64.375 (67.513) Epoch: [19][9880/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.6775 (2.6052) Prec@1 36.875 (36.805) Prec@5 68.750 (67.511) Epoch: [19][9890/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.3492 (2.6052) Prec@1 42.500 (36.806) Prec@5 71.250 (67.512) Epoch: [19][9900/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5442 (2.6053) Prec@1 43.750 (36.805) Prec@5 70.625 (67.511) Epoch: [19][9910/11272] Time 0.776 (0.807) Data 0.001 (0.002) Loss 2.3344 (2.6052) Prec@1 40.625 (36.804) Prec@5 72.500 (67.512) Epoch: [19][9920/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.7621 (2.6052) Prec@1 32.500 (36.802) Prec@5 62.500 (67.511) Epoch: [19][9930/11272] Time 0.865 (0.806) Data 0.001 (0.002) Loss 2.4245 (2.6052) Prec@1 41.250 (36.805) Prec@5 70.625 (67.513) Epoch: [19][9940/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.4860 (2.6050) Prec@1 39.375 (36.806) Prec@5 71.250 (67.514) Epoch: [19][9950/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.5084 (2.6050) Prec@1 40.625 (36.808) Prec@5 67.500 (67.514) Epoch: [19][9960/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.8508 (2.6050) Prec@1 35.625 (36.807) Prec@5 63.125 (67.514) Epoch: [19][9970/11272] Time 0.756 (0.806) Data 0.003 (0.002) Loss 2.6931 (2.6050) Prec@1 35.625 (36.807) Prec@5 66.875 (67.515) Epoch: [19][9980/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 2.6646 (2.6050) Prec@1 35.625 (36.810) Prec@5 67.500 (67.515) Epoch: [19][9990/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.5933 (2.6049) Prec@1 38.125 (36.810) Prec@5 67.500 (67.516) Epoch: [19][10000/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.6829 (2.6050) Prec@1 38.750 (36.811) Prec@5 66.875 (67.515) Epoch: [19][10010/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7781 (2.6050) Prec@1 33.125 (36.812) Prec@5 66.875 (67.515) Epoch: [19][10020/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.4011 (2.6050) Prec@1 37.500 (36.812) Prec@5 74.375 (67.515) Epoch: [19][10030/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.7133 (2.6050) Prec@1 33.750 (36.812) Prec@5 65.625 (67.515) Epoch: [19][10040/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.5867 (2.6050) Prec@1 36.250 (36.811) Prec@5 66.875 (67.513) Epoch: [19][10050/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.7264 (2.6051) Prec@1 31.875 (36.810) Prec@5 60.000 (67.513) Epoch: [19][10060/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.7255 (2.6051) Prec@1 36.875 (36.810) Prec@5 63.125 (67.511) Epoch: [19][10070/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.7694 (2.6052) Prec@1 32.500 (36.807) Prec@5 66.875 (67.509) Epoch: [19][10080/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.6848 (2.6052) Prec@1 41.875 (36.808) Prec@5 63.750 (67.509) Epoch: [19][10090/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.7886 (2.6052) Prec@1 32.500 (36.807) Prec@5 61.250 (67.509) Epoch: [19][10100/11272] Time 0.862 (0.806) Data 0.001 (0.002) Loss 2.7072 (2.6053) Prec@1 30.000 (36.806) Prec@5 65.625 (67.508) Epoch: [19][10110/11272] Time 0.890 (0.806) Data 0.001 (0.002) Loss 2.8738 (2.6052) Prec@1 29.375 (36.805) Prec@5 63.750 (67.509) Epoch: [19][10120/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.7029 (2.6052) Prec@1 33.125 (36.805) Prec@5 65.000 (67.509) Epoch: [19][10130/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.6953 (2.6052) Prec@1 40.000 (36.805) Prec@5 66.250 (67.508) Epoch: [19][10140/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.8084 (2.6052) Prec@1 33.750 (36.806) Prec@5 63.125 (67.507) Epoch: [19][10150/11272] Time 0.867 (0.806) Data 0.001 (0.002) Loss 2.6610 (2.6052) Prec@1 33.750 (36.807) Prec@5 66.250 (67.508) Epoch: [19][10160/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4377 (2.6051) Prec@1 38.750 (36.809) Prec@5 68.750 (67.510) Epoch: [19][10170/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.7506 (2.6051) Prec@1 35.000 (36.809) Prec@5 66.250 (67.509) Epoch: [19][10180/11272] Time 0.858 (0.806) Data 0.001 (0.002) Loss 2.5469 (2.6052) Prec@1 38.125 (36.808) Prec@5 70.000 (67.508) Epoch: [19][10190/11272] Time 0.856 (0.806) Data 0.001 (0.002) Loss 2.6584 (2.6051) Prec@1 40.000 (36.809) Prec@5 61.250 (67.508) Epoch: [19][10200/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.5947 (2.6052) Prec@1 38.125 (36.808) Prec@5 66.250 (67.507) Epoch: [19][10210/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.5885 (2.6052) Prec@1 38.750 (36.808) Prec@5 68.125 (67.506) Epoch: [19][10220/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.6066 (2.6052) Prec@1 35.625 (36.808) Prec@5 69.375 (67.507) Epoch: [19][10230/11272] Time 0.782 (0.806) Data 0.004 (0.002) Loss 2.7478 (2.6051) Prec@1 30.000 (36.808) Prec@5 67.500 (67.508) Epoch: [19][10240/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 2.5264 (2.6051) Prec@1 40.000 (36.809) Prec@5 71.250 (67.508) Epoch: [19][10250/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.4021 (2.6050) Prec@1 40.000 (36.809) Prec@5 72.500 (67.510) Epoch: [19][10260/11272] Time 0.826 (0.806) Data 0.001 (0.002) Loss 2.7069 (2.6051) Prec@1 38.125 (36.808) Prec@5 61.875 (67.508) Epoch: [19][10270/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.5179 (2.6050) Prec@1 36.250 (36.808) Prec@5 71.250 (67.509) Epoch: [19][10280/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.2249 (2.6051) Prec@1 41.250 (36.807) Prec@5 76.875 (67.508) Epoch: [19][10290/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.6876 (2.6051) Prec@1 35.000 (36.806) Prec@5 71.250 (67.507) Epoch: [19][10300/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.3337 (2.6051) Prec@1 43.750 (36.808) Prec@5 73.125 (67.508) Epoch: [19][10310/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.7650 (2.6051) Prec@1 29.375 (36.806) Prec@5 66.250 (67.508) Epoch: [19][10320/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.3727 (2.6051) Prec@1 42.500 (36.806) Prec@5 74.375 (67.508) Epoch: [19][10330/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.5780 (2.6050) Prec@1 40.625 (36.807) Prec@5 66.250 (67.509) Epoch: [19][10340/11272] Time 0.897 (0.806) Data 0.001 (0.002) Loss 2.5976 (2.6050) Prec@1 36.250 (36.808) Prec@5 68.750 (67.510) Epoch: [19][10350/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.5091 (2.6049) Prec@1 36.250 (36.809) Prec@5 70.625 (67.511) Epoch: [19][10360/11272] Time 0.851 (0.806) Data 0.001 (0.002) Loss 2.5986 (2.6049) Prec@1 37.500 (36.809) Prec@5 70.000 (67.512) Epoch: [19][10370/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.5697 (2.6048) Prec@1 35.625 (36.810) Prec@5 67.500 (67.513) Epoch: [19][10380/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.8215 (2.6048) Prec@1 33.125 (36.812) Prec@5 61.875 (67.514) Epoch: [19][10390/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 2.3520 (2.6048) Prec@1 41.875 (36.811) Prec@5 76.250 (67.516) Epoch: [19][10400/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.7133 (2.6048) Prec@1 28.125 (36.810) Prec@5 60.625 (67.515) Epoch: [19][10410/11272] Time 0.852 (0.806) Data 0.001 (0.002) Loss 2.8965 (2.6049) Prec@1 28.125 (36.808) Prec@5 60.625 (67.512) Epoch: [19][10420/11272] Time 0.794 (0.806) Data 0.001 (0.002) Loss 2.5869 (2.6049) Prec@1 30.000 (36.807) Prec@5 66.250 (67.510) Epoch: [19][10430/11272] Time 0.762 (0.806) Data 0.002 (0.002) Loss 2.3383 (2.6050) Prec@1 41.875 (36.806) Prec@5 72.500 (67.510) Epoch: [19][10440/11272] Time 0.871 (0.806) Data 0.001 (0.002) Loss 2.8086 (2.6049) Prec@1 33.750 (36.807) Prec@5 60.625 (67.510) Epoch: [19][10450/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.7080 (2.6050) Prec@1 31.250 (36.807) Prec@5 64.375 (67.509) Epoch: [19][10460/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.7588 (2.6050) Prec@1 33.125 (36.806) Prec@5 63.125 (67.508) Epoch: [19][10470/11272] Time 0.752 (0.806) Data 0.001 (0.002) Loss 2.7881 (2.6050) Prec@1 30.000 (36.807) Prec@5 64.375 (67.509) Epoch: [19][10480/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.5901 (2.6050) Prec@1 35.625 (36.805) Prec@5 70.000 (67.508) Epoch: [19][10490/11272] Time 0.905 (0.806) Data 0.002 (0.002) Loss 2.5356 (2.6051) Prec@1 42.500 (36.805) Prec@5 70.000 (67.507) Epoch: [19][10500/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.5434 (2.6050) Prec@1 36.875 (36.806) Prec@5 68.125 (67.507) Epoch: [19][10510/11272] Time 0.837 (0.806) Data 0.002 (0.002) Loss 2.4842 (2.6050) Prec@1 40.000 (36.807) Prec@5 70.625 (67.507) Epoch: [19][10520/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.5256 (2.6050) Prec@1 38.750 (36.809) Prec@5 63.750 (67.507) Epoch: [19][10530/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.4067 (2.6050) Prec@1 40.625 (36.808) Prec@5 71.875 (67.508) Epoch: [19][10540/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4896 (2.6049) Prec@1 40.000 (36.807) Prec@5 65.625 (67.508) Epoch: [19][10550/11272] Time 0.937 (0.806) Data 0.002 (0.002) Loss 2.6521 (2.6049) Prec@1 40.000 (36.808) Prec@5 68.125 (67.510) Epoch: [19][10560/11272] Time 0.870 (0.806) Data 0.002 (0.002) Loss 2.7851 (2.6049) Prec@1 33.750 (36.808) Prec@5 65.625 (67.509) Epoch: [19][10570/11272] Time 0.770 (0.806) Data 0.001 (0.002) Loss 2.1387 (2.6050) Prec@1 45.625 (36.805) Prec@5 76.875 (67.508) Epoch: [19][10580/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 2.6340 (2.6050) Prec@1 36.250 (36.805) Prec@5 68.125 (67.507) Epoch: [19][10590/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.6086 (2.6050) Prec@1 34.375 (36.805) Prec@5 65.625 (67.507) Epoch: [19][10600/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 2.5879 (2.6050) Prec@1 35.625 (36.806) Prec@5 67.500 (67.508) Epoch: [19][10610/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.7490 (2.6051) Prec@1 29.375 (36.804) Prec@5 62.500 (67.505) Epoch: [19][10620/11272] Time 0.776 (0.806) Data 0.001 (0.002) Loss 2.7189 (2.6050) Prec@1 34.375 (36.806) Prec@5 66.875 (67.508) Epoch: [19][10630/11272] Time 0.921 (0.806) Data 0.002 (0.002) Loss 2.6023 (2.6050) Prec@1 36.875 (36.805) Prec@5 67.500 (67.509) Epoch: [19][10640/11272] Time 0.786 (0.806) Data 0.001 (0.002) Loss 2.4076 (2.6050) Prec@1 41.875 (36.805) Prec@5 71.250 (67.509) Epoch: [19][10650/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.7341 (2.6049) Prec@1 33.125 (36.805) Prec@5 64.375 (67.510) Epoch: [19][10660/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.5223 (2.6049) Prec@1 38.125 (36.805) Prec@5 71.875 (67.511) Epoch: [19][10670/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.6552 (2.6050) Prec@1 31.875 (36.803) Prec@5 68.125 (67.510) Epoch: [19][10680/11272] Time 0.727 (0.806) Data 0.002 (0.002) Loss 2.6722 (2.6050) Prec@1 31.250 (36.803) Prec@5 65.625 (67.511) Epoch: [19][10690/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.6955 (2.6050) Prec@1 35.625 (36.804) Prec@5 59.375 (67.510) Epoch: [19][10700/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.4971 (2.6049) Prec@1 36.875 (36.804) Prec@5 66.875 (67.511) Epoch: [19][10710/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.8504 (2.6049) Prec@1 31.875 (36.803) Prec@5 61.250 (67.510) Epoch: [19][10720/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.9030 (2.6050) Prec@1 33.750 (36.803) Prec@5 63.750 (67.509) Epoch: [19][10730/11272] Time 0.710 (0.806) Data 0.001 (0.002) Loss 2.4280 (2.6049) Prec@1 39.375 (36.804) Prec@5 71.875 (67.510) Epoch: [19][10740/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.2642 (2.6049) Prec@1 44.375 (36.805) Prec@5 74.375 (67.510) Epoch: [19][10750/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 2.3653 (2.6049) Prec@1 41.250 (36.804) Prec@5 73.750 (67.512) Epoch: [19][10760/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.2389 (2.6049) Prec@1 45.625 (36.806) Prec@5 75.000 (67.513) Epoch: [19][10770/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.7475 (2.6049) Prec@1 36.875 (36.807) Prec@5 61.250 (67.513) Epoch: [19][10780/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 2.3470 (2.6049) Prec@1 40.625 (36.806) Prec@5 70.000 (67.513) Epoch: [19][10790/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.7234 (2.6049) Prec@1 35.000 (36.804) Prec@5 63.125 (67.512) Epoch: [19][10800/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7890 (2.6049) Prec@1 35.625 (36.804) Prec@5 63.125 (67.512) Epoch: [19][10810/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.5826 (2.6049) Prec@1 33.125 (36.804) Prec@5 68.125 (67.513) Epoch: [19][10820/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.4801 (2.6049) Prec@1 38.125 (36.805) Prec@5 73.750 (67.514) Epoch: [19][10830/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6235 (2.6050) Prec@1 35.000 (36.803) Prec@5 65.625 (67.512) Epoch: [19][10840/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.7232 (2.6049) Prec@1 37.500 (36.804) Prec@5 65.000 (67.511) Epoch: [19][10850/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.8847 (2.6050) Prec@1 30.625 (36.804) Prec@5 61.875 (67.511) Epoch: [19][10860/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.6910 (2.6049) Prec@1 32.500 (36.805) Prec@5 68.750 (67.511) Epoch: [19][10870/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.4476 (2.6049) Prec@1 35.625 (36.805) Prec@5 70.000 (67.513) Epoch: [19][10880/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.6022 (2.6049) Prec@1 33.750 (36.804) Prec@5 69.375 (67.514) Epoch: [19][10890/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.5258 (2.6048) Prec@1 38.750 (36.805) Prec@5 71.875 (67.514) Epoch: [19][10900/11272] Time 0.770 (0.806) Data 0.003 (0.002) Loss 2.8116 (2.6048) Prec@1 32.500 (36.806) Prec@5 65.625 (67.516) Epoch: [19][10910/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7855 (2.6049) Prec@1 36.250 (36.805) Prec@5 64.375 (67.514) Epoch: [19][10920/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.5653 (2.6049) Prec@1 35.625 (36.806) Prec@5 66.250 (67.514) Epoch: [19][10930/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.5605 (2.6050) Prec@1 37.500 (36.804) Prec@5 71.875 (67.512) Epoch: [19][10940/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.9500 (2.6051) Prec@1 30.625 (36.802) Prec@5 60.625 (67.510) Epoch: [19][10950/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.6089 (2.6051) Prec@1 37.500 (36.802) Prec@5 70.000 (67.511) Epoch: [19][10960/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.5806 (2.6051) Prec@1 36.875 (36.802) Prec@5 68.125 (67.511) Epoch: [19][10970/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.8925 (2.6050) Prec@1 29.375 (36.802) Prec@5 59.375 (67.511) Epoch: [19][10980/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.6090 (2.6050) Prec@1 36.250 (36.802) Prec@5 66.250 (67.512) Epoch: [19][10990/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.5095 (2.6049) Prec@1 35.000 (36.803) Prec@5 71.250 (67.514) Epoch: [19][11000/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.5055 (2.6049) Prec@1 43.125 (36.803) Prec@5 70.625 (67.514) Epoch: [19][11010/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.4518 (2.6049) Prec@1 38.125 (36.805) Prec@5 68.125 (67.515) Epoch: [19][11020/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.6566 (2.6049) Prec@1 34.375 (36.802) Prec@5 68.125 (67.513) Epoch: [19][11030/11272] Time 0.855 (0.806) Data 0.001 (0.002) Loss 2.9083 (2.6049) Prec@1 28.125 (36.802) Prec@5 63.125 (67.513) Epoch: [19][11040/11272] Time 0.904 (0.807) Data 0.002 (0.002) Loss 2.8879 (2.6049) Prec@1 30.625 (36.801) Prec@5 60.000 (67.513) Epoch: [19][11050/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.6538 (2.6050) Prec@1 36.875 (36.801) Prec@5 65.000 (67.512) Epoch: [19][11060/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.4286 (2.6049) Prec@1 40.625 (36.802) Prec@5 71.875 (67.513) Epoch: [19][11070/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.4510 (2.6048) Prec@1 44.375 (36.804) Prec@5 67.500 (67.513) Epoch: [19][11080/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 2.5836 (2.6048) Prec@1 38.750 (36.805) Prec@5 68.125 (67.514) Epoch: [19][11090/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.7534 (2.6048) Prec@1 33.750 (36.806) Prec@5 62.500 (67.514) Epoch: [19][11100/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.6217 (2.6048) Prec@1 31.875 (36.805) Prec@5 65.000 (67.514) Epoch: [19][11110/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.7315 (2.6048) Prec@1 34.375 (36.805) Prec@5 63.750 (67.513) Epoch: [19][11120/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.6081 (2.6049) Prec@1 32.500 (36.804) Prec@5 68.125 (67.514) Epoch: [19][11130/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.7232 (2.6049) Prec@1 32.500 (36.804) Prec@5 66.250 (67.514) Epoch: [19][11140/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.5402 (2.6049) Prec@1 32.500 (36.805) Prec@5 68.125 (67.514) Epoch: [19][11150/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.6190 (2.6048) Prec@1 38.125 (36.807) Prec@5 70.000 (67.514) Epoch: [19][11160/11272] Time 0.790 (0.807) Data 0.004 (0.002) Loss 2.6419 (2.6049) Prec@1 35.625 (36.806) Prec@5 64.375 (67.514) Epoch: [19][11170/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.7097 (2.6049) Prec@1 38.125 (36.805) Prec@5 63.125 (67.512) Epoch: [19][11180/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.7339 (2.6049) Prec@1 36.875 (36.805) Prec@5 65.000 (67.512) Epoch: [19][11190/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.9425 (2.6049) Prec@1 34.375 (36.806) Prec@5 56.875 (67.511) Epoch: [19][11200/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.8128 (2.6050) Prec@1 32.500 (36.804) Prec@5 63.750 (67.511) Epoch: [19][11210/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.4870 (2.6050) Prec@1 40.625 (36.803) Prec@5 68.125 (67.509) Epoch: [19][11220/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4561 (2.6049) Prec@1 40.000 (36.803) Prec@5 67.500 (67.510) Epoch: [19][11230/11272] Time 0.939 (0.807) Data 0.002 (0.002) Loss 2.5347 (2.6049) Prec@1 39.375 (36.802) Prec@5 66.875 (67.509) Epoch: [19][11240/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.6519 (2.6049) Prec@1 33.125 (36.801) Prec@5 68.750 (67.509) Epoch: [19][11250/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3567 (2.6049) Prec@1 38.125 (36.802) Prec@5 76.875 (67.510) Epoch: [19][11260/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.6838 (2.6049) Prec@1 31.250 (36.802) Prec@5 63.750 (67.509) Epoch: [19][11270/11272] Time 0.829 (0.806) Data 0.000 (0.002) Loss 2.6235 (2.6049) Prec@1 38.125 (36.803) Prec@5 66.875 (67.511) Test: [0/229] Time 1.395 (1.395) Loss 1.3643 (1.3643) Prec@1 56.250 (56.250) Prec@5 92.500 (92.500) Test: [10/229] Time 0.382 (0.490) Loss 2.1815 (2.3016) Prec@1 31.250 (39.545) Prec@5 82.500 (77.614) Test: [20/229] Time 0.344 (0.434) Loss 3.6027 (2.3459) Prec@1 16.875 (38.929) Prec@5 46.875 (75.000) Test: [30/229] Time 0.431 (0.418) Loss 1.7269 (2.2065) Prec@1 53.750 (43.347) Prec@5 85.000 (76.492) Test: [40/229] Time 0.347 (0.404) Loss 1.0425 (2.2018) Prec@1 78.125 (43.902) Prec@5 84.375 (76.113) Test: [50/229] Time 0.398 (0.398) Loss 3.3411 (2.2459) Prec@1 17.500 (43.407) Prec@5 58.125 (75.123) Test: [60/229] Time 0.331 (0.392) Loss 3.1869 (2.2335) Prec@1 12.500 (43.432) Prec@5 57.500 (75.061) Test: [70/229] Time 0.342 (0.391) Loss 2.0232 (2.2572) Prec@1 45.625 (43.063) Prec@5 78.125 (74.586) Test: [80/229] Time 0.435 (0.390) Loss 2.5614 (2.2580) Prec@1 35.000 (42.701) Prec@5 74.375 (74.931) Test: [90/229] Time 0.331 (0.387) Loss 1.6321 (2.2625) Prec@1 60.625 (42.624) Prec@5 82.500 (75.000) Test: [100/229] Time 0.408 (0.387) Loss 2.8758 (2.2650) Prec@1 32.500 (42.580) Prec@5 71.875 (75.087) Test: [110/229] Time 0.355 (0.386) Loss 2.7093 (2.2429) Prec@1 28.750 (43.125) Prec@5 68.125 (75.445) Test: [120/229] Time 0.460 (0.385) Loss 3.3232 (2.2630) Prec@1 22.500 (42.515) Prec@5 60.625 (75.227) Test: [130/229] Time 0.333 (0.384) Loss 1.5731 (2.2524) Prec@1 59.375 (42.724) Prec@5 85.625 (75.396) Test: [140/229] Time 0.349 (0.384) Loss 3.1068 (2.2762) Prec@1 22.500 (42.150) Prec@5 58.750 (75.022) Test: [150/229] Time 0.397 (0.383) Loss 1.6481 (2.2910) Prec@1 66.875 (41.954) Prec@5 82.500 (74.752) Test: [160/229] Time 0.315 (0.383) Loss 2.2641 (2.2956) Prec@1 46.875 (41.859) Prec@5 76.250 (74.662) Test: [170/229] Time 0.437 (0.383) Loss 2.8826 (2.3242) Prec@1 31.875 (41.126) Prec@5 67.500 (74.126) Test: [180/229] Time 0.314 (0.383) Loss 3.0669 (2.3220) Prec@1 29.375 (41.412) Prec@5 54.375 (74.044) Test: [190/229] Time 0.368 (0.383) Loss 2.3374 (2.3190) Prec@1 37.500 (41.512) Prec@5 80.000 (74.126) Test: [200/229] Time 0.415 (0.383) Loss 2.5435 (2.3112) Prec@1 33.125 (41.573) Prec@5 71.250 (74.338) Test: [210/229] Time 0.363 (0.383) Loss 1.5149 (2.2915) Prec@1 55.000 (42.011) Prec@5 88.750 (74.745) Test: [220/229] Time 0.450 (0.384) Loss 1.4264 (2.2714) Prec@1 63.750 (42.585) Prec@5 86.250 (74.986) * Prec@1 43.018 Prec@5 75.168 Epoch: [20][0/11272] Time 2.723 (2.723) Data 1.764 (1.764) Loss 2.5868 (2.5868) Prec@1 38.750 (38.750) Prec@5 68.750 (68.750) Epoch: [20][10/11272] Time 0.730 (0.966) Data 0.002 (0.162) Loss 2.9253 (2.6149) Prec@1 33.125 (36.705) Prec@5 62.500 (67.955) Epoch: [20][20/11272] Time 0.738 (0.887) Data 0.001 (0.085) Loss 2.5865 (2.5989) Prec@1 38.750 (36.815) Prec@5 67.500 (67.768) Epoch: [20][30/11272] Time 0.868 (0.863) Data 0.002 (0.058) Loss 2.8895 (2.5926) Prec@1 30.000 (36.552) Prec@5 57.500 (67.440) Epoch: [20][40/11272] Time 0.897 (0.850) Data 0.002 (0.045) Loss 2.4076 (2.5840) Prec@1 39.375 (37.043) Prec@5 71.875 (67.744) Epoch: [20][50/11272] Time 0.770 (0.839) Data 0.002 (0.036) Loss 2.5129 (2.5718) Prec@1 41.875 (37.157) Prec@5 71.250 (68.211) Epoch: [20][60/11272] Time 0.757 (0.833) Data 0.002 (0.030) Loss 2.3188 (2.5632) Prec@1 44.375 (37.510) Prec@5 73.125 (68.484) Epoch: [20][70/11272] Time 0.879 (0.828) Data 0.002 (0.026) Loss 2.7055 (2.5650) Prec@1 33.750 (37.324) Prec@5 65.000 (68.442) Epoch: [20][80/11272] Time 0.856 (0.825) Data 0.001 (0.023) Loss 2.3469 (2.5668) Prec@1 43.125 (37.377) Prec@5 71.875 (68.248) Epoch: [20][90/11272] Time 0.751 (0.821) Data 0.001 (0.021) Loss 2.8185 (2.5781) Prec@1 33.750 (37.095) Prec@5 63.750 (67.919) Epoch: [20][100/11272] Time 0.785 (0.821) Data 0.001 (0.019) Loss 2.5908 (2.5762) Prec@1 37.500 (37.172) Prec@5 66.250 (67.927) Epoch: [20][110/11272] Time 0.823 (0.819) Data 0.001 (0.017) Loss 2.6869 (2.5742) Prec@1 33.125 (37.280) Prec@5 61.250 (67.849) Epoch: [20][120/11272] Time 0.809 (0.817) Data 0.002 (0.016) Loss 2.6437 (2.5744) Prec@1 33.750 (37.340) Prec@5 64.375 (67.815) Epoch: [20][130/11272] Time 0.730 (0.816) Data 0.001 (0.015) Loss 2.7543 (2.5751) Prec@1 37.500 (37.414) Prec@5 61.875 (67.772) Epoch: [20][140/11272] Time 0.892 (0.816) Data 0.001 (0.014) Loss 2.4593 (2.5785) Prec@1 40.625 (37.398) Prec@5 69.375 (67.735) Epoch: [20][150/11272] Time 0.826 (0.815) Data 0.001 (0.013) Loss 2.8469 (2.5845) Prec@1 33.750 (37.243) Prec@5 64.375 (67.637) Epoch: [20][160/11272] Time 0.724 (0.813) Data 0.001 (0.013) Loss 2.5065 (2.5848) Prec@1 39.375 (37.248) Prec@5 68.125 (67.578) Epoch: [20][170/11272] Time 0.745 (0.813) Data 0.001 (0.012) Loss 2.4322 (2.5832) Prec@1 39.375 (37.233) Prec@5 67.500 (67.635) Epoch: [20][180/11272] Time 0.864 (0.813) Data 0.002 (0.011) Loss 2.8156 (2.5831) Prec@1 36.875 (37.262) Prec@5 63.750 (67.697) Epoch: [20][190/11272] Time 0.868 (0.813) Data 0.002 (0.011) Loss 2.4373 (2.5812) Prec@1 42.500 (37.258) Prec@5 72.500 (67.759) Epoch: [20][200/11272] Time 0.735 (0.813) Data 0.001 (0.010) Loss 2.5923 (2.5816) Prec@1 35.625 (37.254) Prec@5 70.625 (67.746) Epoch: [20][210/11272] Time 0.732 (0.813) Data 0.001 (0.010) Loss 2.5454 (2.5816) Prec@1 40.625 (37.296) Prec@5 71.875 (67.770) Epoch: [20][220/11272] Time 0.904 (0.813) Data 0.002 (0.010) Loss 2.4315 (2.5819) Prec@1 39.375 (37.257) Prec@5 69.375 (67.820) Epoch: [20][230/11272] Time 0.763 (0.812) Data 0.003 (0.009) Loss 2.5772 (2.5824) Prec@1 34.375 (37.251) Prec@5 67.500 (67.784) Epoch: [20][240/11272] Time 0.735 (0.812) Data 0.001 (0.009) Loss 2.6090 (2.5838) Prec@1 38.750 (37.186) Prec@5 70.625 (67.775) Epoch: [20][250/11272] Time 0.954 (0.812) Data 0.002 (0.009) Loss 2.4608 (2.5817) Prec@1 38.750 (37.219) Prec@5 71.250 (67.829) Epoch: [20][260/11272] Time 0.884 (0.812) Data 0.002 (0.008) Loss 2.6559 (2.5788) Prec@1 36.875 (37.249) Prec@5 66.875 (67.931) Epoch: [20][270/11272] Time 0.754 (0.811) Data 0.002 (0.008) Loss 2.2830 (2.5760) Prec@1 46.875 (37.304) Prec@5 71.250 (67.975) Epoch: [20][280/11272] Time 0.731 (0.811) Data 0.001 (0.008) Loss 2.5331 (2.5748) Prec@1 38.125 (37.315) Prec@5 66.250 (67.987) Epoch: [20][290/11272] Time 0.865 (0.811) Data 0.002 (0.008) Loss 2.6979 (2.5773) Prec@1 30.000 (37.335) Prec@5 65.000 (67.938) Epoch: [20][300/11272] Time 0.859 (0.811) Data 0.002 (0.007) Loss 2.5488 (2.5782) Prec@1 43.125 (37.380) Prec@5 68.125 (67.909) Epoch: [20][310/11272] Time 0.733 (0.811) Data 0.001 (0.007) Loss 2.2217 (2.5762) Prec@1 45.000 (37.395) Prec@5 74.375 (67.916) Epoch: [20][320/11272] Time 0.739 (0.811) Data 0.002 (0.007) Loss 2.4341 (2.5776) Prec@1 43.750 (37.393) Prec@5 71.875 (67.882) Epoch: [20][330/11272] Time 0.921 (0.811) Data 0.002 (0.007) Loss 2.4074 (2.5775) Prec@1 37.500 (37.372) Prec@5 71.875 (67.893) Epoch: [20][340/11272] Time 0.900 (0.811) Data 0.001 (0.007) Loss 2.7218 (2.5765) Prec@1 33.125 (37.352) Prec@5 66.250 (67.905) Epoch: [20][350/11272] Time 0.751 (0.811) Data 0.002 (0.007) Loss 2.4943 (2.5751) Prec@1 38.125 (37.386) Prec@5 71.250 (67.911) Epoch: [20][360/11272] Time 0.859 (0.811) Data 0.001 (0.006) Loss 2.4652 (2.5757) Prec@1 40.000 (37.396) Prec@5 71.875 (67.916) Epoch: [20][370/11272] Time 0.835 (0.810) Data 0.002 (0.006) Loss 2.5689 (2.5752) Prec@1 35.625 (37.392) Prec@5 67.500 (67.951) Epoch: [20][380/11272] Time 0.753 (0.810) Data 0.002 (0.006) Loss 2.2751 (2.5729) Prec@1 43.750 (37.425) Prec@5 73.125 (67.974) Epoch: [20][390/11272] Time 0.728 (0.810) Data 0.001 (0.006) Loss 2.5571 (2.5723) Prec@1 37.500 (37.431) Prec@5 68.125 (68.000) Epoch: [20][400/11272] Time 0.865 (0.810) Data 0.002 (0.006) Loss 2.3370 (2.5728) Prec@1 40.625 (37.428) Prec@5 68.750 (67.997) Epoch: [20][410/11272] Time 0.821 (0.809) Data 0.001 (0.006) Loss 2.7221 (2.5727) Prec@1 33.125 (37.392) Prec@5 64.375 (67.988) Epoch: [20][420/11272] Time 0.727 (0.809) Data 0.001 (0.006) Loss 2.4792 (2.5727) Prec@1 34.375 (37.377) Prec@5 68.750 (68.006) Epoch: [20][430/11272] Time 0.764 (0.809) Data 0.002 (0.006) Loss 2.5742 (2.5720) Prec@1 37.500 (37.404) Prec@5 66.875 (68.029) Epoch: [20][440/11272] Time 0.889 (0.809) Data 0.002 (0.006) Loss 2.5253 (2.5710) Prec@1 36.875 (37.426) Prec@5 68.125 (68.063) Epoch: [20][450/11272] Time 0.901 (0.809) Data 0.002 (0.006) Loss 2.5034 (2.5702) Prec@1 34.375 (37.421) Prec@5 69.375 (68.092) Epoch: [20][460/11272] Time 0.753 (0.809) Data 0.003 (0.005) Loss 2.4005 (2.5695) Prec@1 41.875 (37.424) Prec@5 73.125 (68.110) Epoch: [20][470/11272] Time 0.726 (0.809) Data 0.001 (0.005) Loss 2.3990 (2.5701) Prec@1 39.375 (37.404) Prec@5 70.625 (68.090) Epoch: [20][480/11272] Time 0.864 (0.809) Data 0.002 (0.005) Loss 2.7870 (2.5696) Prec@1 38.125 (37.414) Prec@5 60.625 (68.086) Epoch: [20][490/11272] Time 0.869 (0.809) Data 0.002 (0.005) Loss 2.5819 (2.5715) Prec@1 38.125 (37.401) Prec@5 65.625 (68.050) Epoch: [20][500/11272] Time 0.741 (0.809) Data 0.001 (0.005) Loss 2.4716 (2.5709) Prec@1 39.375 (37.415) Prec@5 70.625 (68.063) Epoch: [20][510/11272] Time 0.867 (0.809) Data 0.002 (0.005) Loss 2.6389 (2.5714) Prec@1 33.125 (37.386) Prec@5 63.125 (68.044) Epoch: [20][520/11272] Time 0.910 (0.809) Data 0.002 (0.005) Loss 2.5903 (2.5723) Prec@1 37.500 (37.366) Prec@5 67.500 (68.019) Epoch: [20][530/11272] Time 0.744 (0.808) Data 0.001 (0.005) Loss 2.3843 (2.5712) Prec@1 43.125 (37.395) Prec@5 70.625 (68.039) Epoch: [20][540/11272] Time 0.758 (0.808) Data 0.002 (0.005) Loss 2.5966 (2.5724) Prec@1 35.625 (37.369) Prec@5 68.125 (68.022) Epoch: [20][550/11272] Time 0.899 (0.808) Data 0.002 (0.005) Loss 2.7053 (2.5739) Prec@1 35.625 (37.356) Prec@5 62.500 (67.985) Epoch: [20][560/11272] Time 0.881 (0.808) Data 0.002 (0.005) Loss 2.5042 (2.5745) Prec@1 38.125 (37.335) Prec@5 68.125 (67.971) Epoch: [20][570/11272] Time 0.733 (0.808) Data 0.002 (0.005) Loss 2.4925 (2.5752) Prec@1 36.875 (37.312) Prec@5 68.750 (67.941) Epoch: [20][580/11272] Time 0.721 (0.808) Data 0.001 (0.005) Loss 2.2792 (2.5744) Prec@1 40.000 (37.317) Prec@5 73.125 (67.960) Epoch: [20][590/11272] Time 0.861 (0.808) Data 0.002 (0.005) Loss 2.5145 (2.5750) Prec@1 37.500 (37.299) Prec@5 68.125 (67.948) Epoch: [20][600/11272] Time 0.908 (0.808) Data 0.002 (0.005) Loss 2.6094 (2.5759) Prec@1 33.125 (37.267) Prec@5 70.000 (67.929) Epoch: [20][610/11272] Time 0.759 (0.808) Data 0.001 (0.004) Loss 2.6813 (2.5754) Prec@1 33.125 (37.276) Prec@5 65.000 (67.941) Epoch: [20][620/11272] Time 0.745 (0.808) Data 0.001 (0.004) Loss 2.5619 (2.5747) Prec@1 36.875 (37.283) Prec@5 66.250 (67.968) Epoch: [20][630/11272] Time 0.830 (0.808) Data 0.001 (0.004) Loss 2.7314 (2.5759) Prec@1 33.750 (37.238) Prec@5 68.125 (67.927) Epoch: [20][640/11272] Time 0.717 (0.808) Data 0.001 (0.004) Loss 2.5215 (2.5763) Prec@1 39.375 (37.237) Prec@5 66.250 (67.911) Epoch: [20][650/11272] Time 0.742 (0.808) Data 0.002 (0.004) Loss 2.7047 (2.5766) Prec@1 36.250 (37.237) Prec@5 64.375 (67.913) Epoch: [20][660/11272] Time 0.870 (0.808) Data 0.002 (0.004) Loss 2.8028 (2.5786) Prec@1 32.500 (37.194) Prec@5 62.500 (67.865) Epoch: [20][670/11272] Time 0.900 (0.808) Data 0.002 (0.004) Loss 2.2877 (2.5790) Prec@1 37.500 (37.185) Prec@5 77.500 (67.857) Epoch: [20][680/11272] Time 0.728 (0.808) Data 0.002 (0.004) Loss 2.5292 (2.5793) Prec@1 35.000 (37.193) Prec@5 71.250 (67.851) Epoch: [20][690/11272] Time 0.742 (0.807) Data 0.002 (0.004) Loss 2.7241 (2.5807) Prec@1 33.750 (37.171) Prec@5 67.500 (67.836) Epoch: [20][700/11272] Time 0.857 (0.807) Data 0.002 (0.004) Loss 2.9391 (2.5812) Prec@1 32.500 (37.166) Prec@5 64.375 (67.834) Epoch: [20][710/11272] Time 0.895 (0.807) Data 0.002 (0.004) Loss 2.5519 (2.5805) Prec@1 41.250 (37.188) Prec@5 73.125 (67.838) Epoch: [20][720/11272] Time 0.739 (0.807) Data 0.002 (0.004) Loss 2.6893 (2.5802) Prec@1 39.375 (37.206) Prec@5 65.000 (67.860) Epoch: [20][730/11272] Time 0.725 (0.807) Data 0.001 (0.004) Loss 2.5286 (2.5798) Prec@1 40.000 (37.211) Prec@5 68.750 (67.869) Epoch: [20][740/11272] Time 0.895 (0.807) Data 0.002 (0.004) Loss 2.4751 (2.5793) Prec@1 37.500 (37.212) Prec@5 70.625 (67.891) Epoch: [20][750/11272] Time 0.843 (0.807) Data 0.001 (0.004) Loss 2.6212 (2.5796) Prec@1 36.250 (37.212) Prec@5 63.750 (67.867) Epoch: [20][760/11272] Time 0.728 (0.807) Data 0.002 (0.004) Loss 2.5898 (2.5808) Prec@1 43.125 (37.204) Prec@5 65.625 (67.840) Epoch: [20][770/11272] Time 0.880 (0.807) Data 0.001 (0.004) Loss 2.3371 (2.5809) Prec@1 37.500 (37.213) Prec@5 73.750 (67.853) Epoch: [20][780/11272] Time 0.893 (0.807) Data 0.002 (0.004) Loss 2.5423 (2.5818) Prec@1 36.250 (37.198) Prec@5 68.125 (67.835) Epoch: [20][790/11272] Time 0.739 (0.806) Data 0.002 (0.004) Loss 2.7268 (2.5824) Prec@1 31.875 (37.187) Prec@5 67.500 (67.818) Epoch: [20][800/11272] Time 0.750 (0.806) Data 0.001 (0.004) Loss 2.6536 (2.5829) Prec@1 35.625 (37.183) Prec@5 66.875 (67.803) Epoch: [20][810/11272] Time 0.863 (0.806) Data 0.002 (0.004) Loss 2.6425 (2.5839) Prec@1 38.125 (37.166) Prec@5 62.500 (67.777) Epoch: [20][820/11272] Time 0.869 (0.806) Data 0.002 (0.004) Loss 2.5530 (2.5840) Prec@1 43.125 (37.188) Prec@5 66.250 (67.768) Epoch: [20][830/11272] Time 0.728 (0.806) Data 0.001 (0.004) Loss 2.5906 (2.5844) Prec@1 36.250 (37.180) Prec@5 64.375 (67.761) Epoch: [20][840/11272] Time 0.740 (0.806) Data 0.001 (0.004) Loss 2.6433 (2.5857) Prec@1 41.875 (37.155) Prec@5 64.375 (67.742) Epoch: [20][850/11272] Time 0.857 (0.806) Data 0.001 (0.004) Loss 2.6670 (2.5864) Prec@1 33.750 (37.140) Prec@5 65.625 (67.735) Epoch: [20][860/11272] Time 0.890 (0.806) Data 0.002 (0.004) Loss 2.6795 (2.5864) Prec@1 31.875 (37.142) Prec@5 63.750 (67.739) Epoch: [20][870/11272] Time 0.747 (0.806) Data 0.002 (0.004) Loss 2.4744 (2.5858) Prec@1 35.625 (37.148) Prec@5 71.250 (67.743) Epoch: [20][880/11272] Time 0.742 (0.806) Data 0.002 (0.004) Loss 2.7114 (2.5858) Prec@1 38.125 (37.159) Prec@5 62.500 (67.740) Epoch: [20][890/11272] Time 0.904 (0.806) Data 0.002 (0.004) Loss 2.7704 (2.5862) Prec@1 34.375 (37.155) Prec@5 67.500 (67.737) Epoch: [20][900/11272] Time 0.729 (0.806) Data 0.003 (0.004) Loss 2.5444 (2.5859) Prec@1 37.500 (37.165) Prec@5 71.250 (67.748) Epoch: [20][910/11272] Time 0.732 (0.806) Data 0.001 (0.004) Loss 2.4647 (2.5860) Prec@1 41.875 (37.159) Prec@5 71.875 (67.757) Epoch: [20][920/11272] Time 0.876 (0.806) Data 0.002 (0.003) Loss 2.5807 (2.5855) Prec@1 40.000 (37.177) Prec@5 66.875 (67.767) Epoch: [20][930/11272] Time 0.870 (0.806) Data 0.002 (0.003) Loss 2.5053 (2.5855) Prec@1 36.875 (37.173) Prec@5 68.750 (67.757) Epoch: [20][940/11272] Time 0.728 (0.806) Data 0.001 (0.003) Loss 2.4910 (2.5850) Prec@1 40.625 (37.167) Prec@5 69.375 (67.765) Epoch: [20][950/11272] Time 0.729 (0.806) Data 0.001 (0.003) Loss 2.5905 (2.5847) Prec@1 38.750 (37.171) Prec@5 68.125 (67.771) Epoch: [20][960/11272] Time 0.827 (0.806) Data 0.001 (0.003) Loss 2.6099 (2.5847) Prec@1 37.500 (37.181) Prec@5 70.000 (67.768) Epoch: [20][970/11272] Time 0.834 (0.806) Data 0.001 (0.003) Loss 2.5389 (2.5843) Prec@1 36.250 (37.184) Prec@5 65.625 (67.779) Epoch: [20][980/11272] Time 0.729 (0.806) Data 0.002 (0.003) Loss 2.5289 (2.5848) Prec@1 41.250 (37.189) Prec@5 68.125 (67.775) Epoch: [20][990/11272] Time 0.755 (0.806) Data 0.003 (0.003) Loss 2.5009 (2.5853) Prec@1 40.625 (37.171) Prec@5 71.250 (67.764) Epoch: [20][1000/11272] Time 0.903 (0.806) Data 0.002 (0.003) Loss 2.8541 (2.5858) Prec@1 34.375 (37.159) Prec@5 64.375 (67.752) Epoch: [20][1010/11272] Time 0.891 (0.806) Data 0.002 (0.003) Loss 2.5554 (2.5855) Prec@1 41.875 (37.174) Prec@5 66.875 (67.755) Epoch: [20][1020/11272] Time 0.729 (0.806) Data 0.001 (0.003) Loss 2.5223 (2.5859) Prec@1 38.125 (37.162) Prec@5 73.125 (67.759) Epoch: [20][1030/11272] Time 0.863 (0.806) Data 0.001 (0.003) Loss 2.6050 (2.5860) Prec@1 36.250 (37.157) Prec@5 67.500 (67.758) Epoch: [20][1040/11272] Time 0.865 (0.806) Data 0.002 (0.003) Loss 2.7101 (2.5857) Prec@1 33.750 (37.165) Prec@5 67.500 (67.758) Epoch: [20][1050/11272] Time 0.747 (0.806) Data 0.001 (0.003) Loss 2.7400 (2.5865) Prec@1 41.875 (37.152) Prec@5 68.125 (67.740) Epoch: [20][1060/11272] Time 0.732 (0.806) Data 0.001 (0.003) Loss 2.3658 (2.5865) Prec@1 36.250 (37.130) Prec@5 75.625 (67.742) Epoch: [20][1070/11272] Time 0.873 (0.806) Data 0.002 (0.003) Loss 2.6351 (2.5879) Prec@1 40.625 (37.110) Prec@5 69.375 (67.705) Epoch: [20][1080/11272] Time 0.857 (0.806) Data 0.002 (0.003) Loss 2.7537 (2.5887) Prec@1 33.125 (37.103) Prec@5 67.500 (67.681) Epoch: [20][1090/11272] Time 0.734 (0.806) Data 0.002 (0.003) Loss 2.5871 (2.5884) Prec@1 36.250 (37.106) Prec@5 70.000 (67.685) Epoch: [20][1100/11272] Time 0.744 (0.806) Data 0.001 (0.003) Loss 2.3571 (2.5881) Prec@1 44.375 (37.121) Prec@5 70.625 (67.692) Epoch: [20][1110/11272] Time 0.848 (0.806) Data 0.002 (0.003) Loss 2.6630 (2.5886) Prec@1 30.625 (37.111) Prec@5 63.750 (67.678) Epoch: [20][1120/11272] Time 0.908 (0.806) Data 0.002 (0.003) Loss 2.6053 (2.5891) Prec@1 41.250 (37.100) Prec@5 66.250 (67.671) Epoch: [20][1130/11272] Time 0.753 (0.807) Data 0.002 (0.003) Loss 2.4939 (2.5893) Prec@1 38.750 (37.095) Prec@5 66.875 (67.669) Epoch: [20][1140/11272] Time 0.772 (0.807) Data 0.002 (0.003) Loss 2.3930 (2.5885) Prec@1 36.250 (37.101) Prec@5 73.750 (67.686) Epoch: [20][1150/11272] Time 0.872 (0.807) Data 0.002 (0.003) Loss 2.4649 (2.5888) Prec@1 41.875 (37.097) Prec@5 70.625 (67.674) Epoch: [20][1160/11272] Time 0.766 (0.807) Data 0.005 (0.003) Loss 2.6452 (2.5889) Prec@1 33.125 (37.100) Prec@5 66.875 (67.674) Epoch: [20][1170/11272] Time 0.741 (0.807) Data 0.001 (0.003) Loss 2.8684 (2.5896) Prec@1 28.125 (37.086) Prec@5 58.750 (67.653) Epoch: [20][1180/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 2.5546 (2.5894) Prec@1 40.000 (37.084) Prec@5 66.875 (67.644) Epoch: [20][1190/11272] Time 0.846 (0.807) Data 0.001 (0.003) Loss 2.8011 (2.5901) Prec@1 33.125 (37.064) Prec@5 63.750 (67.637) Epoch: [20][1200/11272] Time 0.766 (0.807) Data 0.002 (0.003) Loss 3.0152 (2.5901) Prec@1 25.625 (37.059) Prec@5 55.000 (67.627) Epoch: [20][1210/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.7953 (2.5901) Prec@1 35.625 (37.063) Prec@5 64.375 (67.624) Epoch: [20][1220/11272] Time 0.870 (0.807) Data 0.002 (0.003) Loss 2.7502 (2.5901) Prec@1 33.125 (37.059) Prec@5 66.875 (67.627) Epoch: [20][1230/11272] Time 0.894 (0.807) Data 0.002 (0.003) Loss 2.5352 (2.5902) Prec@1 40.625 (37.059) Prec@5 68.125 (67.624) Epoch: [20][1240/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 2.7107 (2.5907) Prec@1 36.250 (37.056) Prec@5 61.875 (67.619) Epoch: [20][1250/11272] Time 0.756 (0.807) Data 0.001 (0.003) Loss 2.6192 (2.5908) Prec@1 38.125 (37.048) Prec@5 63.750 (67.606) Epoch: [20][1260/11272] Time 0.847 (0.807) Data 0.002 (0.003) Loss 2.5243 (2.5901) Prec@1 40.625 (37.051) Prec@5 70.000 (67.619) Epoch: [20][1270/11272] Time 0.860 (0.807) Data 0.002 (0.003) Loss 2.5682 (2.5902) Prec@1 35.625 (37.046) Prec@5 70.000 (67.619) Epoch: [20][1280/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 2.4736 (2.5898) Prec@1 40.000 (37.047) Prec@5 70.000 (67.619) Epoch: [20][1290/11272] Time 0.856 (0.807) Data 0.001 (0.003) Loss 2.4496 (2.5897) Prec@1 37.500 (37.048) Prec@5 69.375 (67.625) Epoch: [20][1300/11272] Time 0.855 (0.807) Data 0.001 (0.003) Loss 2.5097 (2.5896) Prec@1 40.625 (37.055) Prec@5 67.500 (67.630) Epoch: [20][1310/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 2.6335 (2.5900) Prec@1 36.250 (37.043) Prec@5 66.250 (67.615) Epoch: [20][1320/11272] Time 0.767 (0.807) Data 0.002 (0.003) Loss 2.6774 (2.5905) Prec@1 35.000 (37.041) Prec@5 66.250 (67.608) Epoch: [20][1330/11272] Time 0.880 (0.807) Data 0.002 (0.003) Loss 2.5383 (2.5901) Prec@1 36.875 (37.040) Prec@5 67.500 (67.624) Epoch: [20][1340/11272] Time 0.850 (0.807) Data 0.001 (0.003) Loss 2.6285 (2.5908) Prec@1 36.250 (37.032) Prec@5 71.875 (67.616) Epoch: [20][1350/11272] Time 0.717 (0.807) Data 0.001 (0.003) Loss 2.7115 (2.5909) Prec@1 36.875 (37.027) Prec@5 66.875 (67.616) Epoch: [20][1360/11272] Time 0.735 (0.807) Data 0.001 (0.003) Loss 2.7692 (2.5914) Prec@1 35.000 (37.008) Prec@5 64.375 (67.610) Epoch: [20][1370/11272] Time 0.870 (0.807) Data 0.002 (0.003) Loss 2.6473 (2.5917) Prec@1 40.625 (37.000) Prec@5 67.500 (67.606) Epoch: [20][1380/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 2.4827 (2.5922) Prec@1 40.000 (36.985) Prec@5 70.625 (67.609) Epoch: [20][1390/11272] Time 0.740 (0.807) Data 0.002 (0.003) Loss 2.8299 (2.5921) Prec@1 35.000 (36.993) Prec@5 60.625 (67.612) Epoch: [20][1400/11272] Time 0.725 (0.807) Data 0.001 (0.003) Loss 2.7155 (2.5930) Prec@1 35.625 (36.974) Prec@5 63.750 (67.590) Epoch: [20][1410/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 2.4950 (2.5928) Prec@1 40.000 (36.974) Prec@5 70.625 (67.594) Epoch: [20][1420/11272] Time 0.910 (0.807) Data 0.002 (0.003) Loss 2.5240 (2.5924) Prec@1 40.000 (36.971) Prec@5 71.875 (67.605) Epoch: [20][1430/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.3333 (2.5918) Prec@1 42.500 (36.987) Prec@5 73.125 (67.613) Epoch: [20][1440/11272] Time 0.930 (0.807) Data 0.001 (0.003) Loss 2.7009 (2.5921) Prec@1 33.750 (36.983) Prec@5 66.250 (67.607) Epoch: [20][1450/11272] Time 0.859 (0.807) Data 0.002 (0.003) Loss 2.7237 (2.5923) Prec@1 35.000 (36.978) Prec@5 65.625 (67.597) Epoch: [20][1460/11272] Time 0.736 (0.806) Data 0.001 (0.003) Loss 2.5836 (2.5926) Prec@1 40.625 (36.980) Prec@5 71.875 (67.603) Epoch: [20][1470/11272] Time 0.733 (0.806) Data 0.001 (0.003) Loss 2.7800 (2.5926) Prec@1 34.375 (36.981) Prec@5 65.000 (67.615) Epoch: [20][1480/11272] Time 0.840 (0.806) Data 0.001 (0.003) Loss 2.5667 (2.5934) Prec@1 33.750 (36.964) Prec@5 72.500 (67.602) Epoch: [20][1490/11272] Time 0.860 (0.806) Data 0.002 (0.003) Loss 2.9154 (2.5937) Prec@1 30.000 (36.953) Prec@5 62.500 (67.592) Epoch: [20][1500/11272] Time 0.746 (0.806) Data 0.001 (0.003) Loss 2.7280 (2.5943) Prec@1 28.750 (36.939) Prec@5 66.875 (67.582) Epoch: [20][1510/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.5372 (2.5942) Prec@1 40.625 (36.946) Prec@5 69.375 (67.582) Epoch: [20][1520/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 2.4888 (2.5941) Prec@1 37.500 (36.946) Prec@5 71.875 (67.584) Epoch: [20][1530/11272] Time 0.894 (0.807) Data 0.002 (0.003) Loss 2.5762 (2.5938) Prec@1 33.125 (36.951) Prec@5 67.500 (67.596) Epoch: [20][1540/11272] Time 0.723 (0.807) Data 0.001 (0.003) Loss 2.5959 (2.5942) Prec@1 33.750 (36.950) Prec@5 69.375 (67.588) Epoch: [20][1550/11272] Time 0.720 (0.807) Data 0.001 (0.003) Loss 2.5233 (2.5942) Prec@1 36.250 (36.946) Prec@5 71.250 (67.589) Epoch: [20][1560/11272] Time 0.865 (0.807) Data 0.002 (0.003) Loss 2.5191 (2.5940) Prec@1 35.625 (36.938) Prec@5 72.500 (67.601) Epoch: [20][1570/11272] Time 0.742 (0.806) Data 0.001 (0.003) Loss 2.6930 (2.5936) Prec@1 34.375 (36.946) Prec@5 68.125 (67.607) Epoch: [20][1580/11272] Time 0.723 (0.806) Data 0.001 (0.003) Loss 2.6134 (2.5933) Prec@1 38.125 (36.949) Prec@5 70.625 (67.616) Epoch: [20][1590/11272] Time 0.897 (0.807) Data 0.002 (0.003) Loss 2.8797 (2.5934) Prec@1 36.875 (36.946) Prec@5 59.375 (67.608) Epoch: [20][1600/11272] Time 0.853 (0.806) Data 0.002 (0.003) Loss 2.5298 (2.5933) Prec@1 38.125 (36.952) Prec@5 64.375 (67.603) Epoch: [20][1610/11272] Time 0.742 (0.806) Data 0.001 (0.003) Loss 2.5438 (2.5937) Prec@1 38.125 (36.945) Prec@5 71.875 (67.601) Epoch: [20][1620/11272] Time 0.729 (0.806) Data 0.001 (0.003) Loss 2.5417 (2.5940) Prec@1 40.625 (36.937) Prec@5 71.250 (67.592) Epoch: [20][1630/11272] Time 0.883 (0.806) Data 0.002 (0.003) Loss 2.5022 (2.5940) Prec@1 38.125 (36.935) Prec@5 63.125 (67.584) Epoch: [20][1640/11272] Time 0.866 (0.806) Data 0.001 (0.003) Loss 2.4054 (2.5941) Prec@1 40.000 (36.933) Prec@5 75.625 (67.588) Epoch: [20][1650/11272] Time 0.743 (0.806) Data 0.002 (0.003) Loss 2.6301 (2.5944) Prec@1 32.500 (36.920) Prec@5 64.375 (67.579) Epoch: [20][1660/11272] Time 0.779 (0.806) Data 0.002 (0.003) Loss 2.5897 (2.5943) Prec@1 42.500 (36.925) Prec@5 70.625 (67.584) Epoch: [20][1670/11272] Time 0.936 (0.806) Data 0.002 (0.003) Loss 2.6440 (2.5942) Prec@1 36.875 (36.930) Prec@5 67.500 (67.589) Epoch: [20][1680/11272] Time 0.850 (0.806) Data 0.001 (0.003) Loss 2.4516 (2.5938) Prec@1 38.750 (36.937) Prec@5 67.500 (67.595) Epoch: [20][1690/11272] Time 0.741 (0.806) Data 0.001 (0.003) Loss 2.4504 (2.5936) Prec@1 36.250 (36.943) Prec@5 70.625 (67.597) Epoch: [20][1700/11272] Time 0.885 (0.807) Data 0.001 (0.003) Loss 2.4716 (2.5937) Prec@1 40.625 (36.946) Prec@5 68.750 (67.600) Epoch: [20][1710/11272] Time 0.868 (0.807) Data 0.002 (0.003) Loss 2.4750 (2.5933) Prec@1 41.250 (36.954) Prec@5 71.250 (67.608) Epoch: [20][1720/11272] Time 0.735 (0.806) Data 0.001 (0.003) Loss 2.3830 (2.5931) Prec@1 39.375 (36.959) Prec@5 72.500 (67.619) Epoch: [20][1730/11272] Time 0.738 (0.806) Data 0.001 (0.003) Loss 2.6661 (2.5933) Prec@1 33.750 (36.956) Prec@5 70.000 (67.626) Epoch: [20][1740/11272] Time 0.876 (0.806) Data 0.002 (0.003) Loss 2.7554 (2.5932) Prec@1 38.125 (36.964) Prec@5 68.125 (67.635) Epoch: [20][1750/11272] Time 0.883 (0.806) Data 0.001 (0.003) Loss 2.5167 (2.5937) Prec@1 36.875 (36.955) Prec@5 68.750 (67.631) Epoch: [20][1760/11272] Time 0.719 (0.806) Data 0.001 (0.003) Loss 3.0931 (2.5943) Prec@1 28.125 (36.934) Prec@5 58.125 (67.622) Epoch: [20][1770/11272] Time 0.735 (0.806) Data 0.001 (0.003) Loss 2.4707 (2.5945) Prec@1 38.125 (36.931) Prec@5 70.625 (67.619) Epoch: [20][1780/11272] Time 0.836 (0.806) Data 0.001 (0.003) Loss 2.6079 (2.5944) Prec@1 33.125 (36.933) Prec@5 70.000 (67.621) Epoch: [20][1790/11272] Time 0.839 (0.806) Data 0.001 (0.003) Loss 2.7343 (2.5945) Prec@1 37.500 (36.933) Prec@5 63.750 (67.616) Epoch: [20][1800/11272] Time 0.740 (0.806) Data 0.002 (0.003) Loss 2.7918 (2.5949) Prec@1 36.250 (36.928) Prec@5 63.750 (67.607) Epoch: [20][1810/11272] Time 0.736 (0.806) Data 0.002 (0.003) Loss 2.4513 (2.5949) Prec@1 43.125 (36.933) Prec@5 73.125 (67.600) Epoch: [20][1820/11272] Time 0.873 (0.806) Data 0.002 (0.003) Loss 2.2760 (2.5945) Prec@1 41.875 (36.939) Prec@5 69.375 (67.610) Epoch: [20][1830/11272] Time 0.781 (0.806) Data 0.004 (0.003) Loss 2.8879 (2.5947) Prec@1 29.375 (36.929) Prec@5 65.625 (67.605) Epoch: [20][1840/11272] Time 0.731 (0.806) Data 0.001 (0.003) Loss 2.3648 (2.5948) Prec@1 36.875 (36.926) Prec@5 76.250 (67.608) Epoch: [20][1850/11272] Time 0.854 (0.806) Data 0.002 (0.003) Loss 2.5469 (2.5945) Prec@1 41.875 (36.931) Prec@5 68.125 (67.614) Epoch: [20][1860/11272] Time 0.880 (0.806) Data 0.002 (0.003) Loss 2.6553 (2.5948) Prec@1 38.750 (36.931) Prec@5 64.375 (67.603) Epoch: [20][1870/11272] Time 0.743 (0.806) Data 0.001 (0.003) Loss 2.6339 (2.5946) Prec@1 34.375 (36.926) Prec@5 65.000 (67.602) Epoch: [20][1880/11272] Time 0.742 (0.806) Data 0.001 (0.003) Loss 2.6299 (2.5943) Prec@1 38.125 (36.934) Prec@5 67.500 (67.606) Epoch: [20][1890/11272] Time 0.866 (0.806) Data 0.002 (0.003) Loss 2.6088 (2.5942) Prec@1 35.625 (36.937) Prec@5 68.125 (67.615) Epoch: [20][1900/11272] Time 0.878 (0.806) Data 0.002 (0.003) Loss 2.5910 (2.5942) Prec@1 43.750 (36.944) Prec@5 68.125 (67.615) Epoch: [20][1910/11272] Time 0.729 (0.806) Data 0.002 (0.003) Loss 2.7703 (2.5944) Prec@1 32.500 (36.937) Prec@5 62.500 (67.616) Epoch: [20][1920/11272] Time 0.734 (0.806) Data 0.001 (0.003) Loss 2.6756 (2.5948) Prec@1 35.000 (36.917) Prec@5 65.625 (67.614) Epoch: [20][1930/11272] Time 0.895 (0.806) Data 0.002 (0.003) Loss 2.5606 (2.5948) Prec@1 35.625 (36.918) Prec@5 62.500 (67.612) Epoch: [20][1940/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.2396 (2.5943) Prec@1 43.750 (36.925) Prec@5 74.375 (67.617) Epoch: [20][1950/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.5719 (2.5945) Prec@1 33.750 (36.914) Prec@5 67.500 (67.611) Epoch: [20][1960/11272] Time 0.840 (0.806) Data 0.001 (0.002) Loss 2.4930 (2.5949) Prec@1 41.250 (36.917) Prec@5 72.500 (67.603) Epoch: [20][1970/11272] Time 0.920 (0.806) Data 0.002 (0.002) Loss 2.5738 (2.5949) Prec@1 35.625 (36.928) Prec@5 68.750 (67.600) Epoch: [20][1980/11272] Time 0.802 (0.806) Data 0.001 (0.002) Loss 2.8255 (2.5951) Prec@1 26.875 (36.927) Prec@5 66.250 (67.601) Epoch: [20][1990/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.9309 (2.5950) Prec@1 31.250 (36.928) Prec@5 60.000 (67.602) Epoch: [20][2000/11272] Time 0.907 (0.806) Data 0.002 (0.002) Loss 2.7356 (2.5952) Prec@1 33.750 (36.926) Prec@5 61.875 (67.602) Epoch: [20][2010/11272] Time 0.941 (0.806) Data 0.002 (0.002) Loss 2.7254 (2.5948) Prec@1 36.250 (36.934) Prec@5 65.625 (67.612) Epoch: [20][2020/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.6084 (2.5946) Prec@1 35.625 (36.941) Prec@5 68.750 (67.615) Epoch: [20][2030/11272] Time 0.741 (0.806) Data 0.002 (0.002) Loss 2.7551 (2.5948) Prec@1 35.000 (36.934) Prec@5 65.625 (67.612) Epoch: [20][2040/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.6540 (2.5944) Prec@1 35.625 (36.950) Prec@5 65.000 (67.616) Epoch: [20][2050/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.7014 (2.5940) Prec@1 35.000 (36.960) Prec@5 68.125 (67.624) Epoch: [20][2060/11272] Time 0.760 (0.806) Data 0.001 (0.002) Loss 2.5693 (2.5942) Prec@1 37.500 (36.948) Prec@5 70.000 (67.622) Epoch: [20][2070/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6209 (2.5940) Prec@1 36.875 (36.950) Prec@5 68.125 (67.624) Epoch: [20][2080/11272] Time 0.796 (0.806) Data 0.001 (0.002) Loss 2.0983 (2.5940) Prec@1 47.500 (36.954) Prec@5 77.500 (67.627) Epoch: [20][2090/11272] Time 0.802 (0.806) Data 0.003 (0.002) Loss 2.6939 (2.5942) Prec@1 35.625 (36.952) Prec@5 64.375 (67.623) Epoch: [20][2100/11272] Time 0.729 (0.806) Data 0.002 (0.002) Loss 2.6497 (2.5944) Prec@1 35.625 (36.948) Prec@5 65.625 (67.626) Epoch: [20][2110/11272] Time 0.839 (0.806) Data 0.002 (0.002) Loss 2.7424 (2.5950) Prec@1 36.250 (36.936) Prec@5 64.375 (67.618) Epoch: [20][2120/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.6322 (2.5952) Prec@1 34.375 (36.933) Prec@5 73.125 (67.620) Epoch: [20][2130/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.5800 (2.5953) Prec@1 36.875 (36.925) Prec@5 68.750 (67.621) Epoch: [20][2140/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.6628 (2.5956) Prec@1 39.375 (36.920) Prec@5 64.375 (67.612) Epoch: [20][2150/11272] Time 0.906 (0.806) Data 0.002 (0.002) Loss 2.8328 (2.5961) Prec@1 30.625 (36.911) Prec@5 62.500 (67.601) Epoch: [20][2160/11272] Time 0.865 (0.806) Data 0.001 (0.002) Loss 2.6258 (2.5961) Prec@1 36.250 (36.916) Prec@5 67.500 (67.600) Epoch: [20][2170/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.3929 (2.5958) Prec@1 41.250 (36.918) Prec@5 73.750 (67.608) Epoch: [20][2180/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6690 (2.5958) Prec@1 33.125 (36.918) Prec@5 63.125 (67.603) Epoch: [20][2190/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.6215 (2.5956) Prec@1 33.125 (36.914) Prec@5 68.750 (67.610) Epoch: [20][2200/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.4958 (2.5953) Prec@1 42.500 (36.924) Prec@5 68.125 (67.618) Epoch: [20][2210/11272] Time 0.756 (0.806) Data 0.001 (0.002) Loss 2.8457 (2.5957) Prec@1 36.875 (36.921) Prec@5 61.875 (67.609) Epoch: [20][2220/11272] Time 0.896 (0.806) Data 0.001 (0.002) Loss 2.5147 (2.5959) Prec@1 40.000 (36.924) Prec@5 66.250 (67.609) Epoch: [20][2230/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 2.4434 (2.5956) Prec@1 38.125 (36.932) Prec@5 70.625 (67.617) Epoch: [20][2240/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.8160 (2.5958) Prec@1 30.000 (36.928) Prec@5 64.375 (67.614) Epoch: [20][2250/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.4087 (2.5958) Prec@1 41.875 (36.933) Prec@5 68.750 (67.608) Epoch: [20][2260/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.6541 (2.5959) Prec@1 41.875 (36.928) Prec@5 69.375 (67.608) Epoch: [20][2270/11272] Time 0.838 (0.806) Data 0.002 (0.002) Loss 2.6564 (2.5958) Prec@1 36.875 (36.929) Prec@5 70.000 (67.611) Epoch: [20][2280/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.3208 (2.5956) Prec@1 41.875 (36.928) Prec@5 71.250 (67.616) Epoch: [20][2290/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.5973 (2.5953) Prec@1 39.375 (36.930) Prec@5 66.250 (67.628) Epoch: [20][2300/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.4504 (2.5953) Prec@1 40.000 (36.925) Prec@5 70.000 (67.624) Epoch: [20][2310/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.6762 (2.5954) Prec@1 36.875 (36.915) Prec@5 66.250 (67.626) Epoch: [20][2320/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.3470 (2.5955) Prec@1 40.000 (36.916) Prec@5 71.875 (67.624) Epoch: [20][2330/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.8667 (2.5957) Prec@1 31.875 (36.919) Prec@5 63.750 (67.625) Epoch: [20][2340/11272] Time 0.934 (0.806) Data 0.006 (0.002) Loss 2.7509 (2.5962) Prec@1 35.000 (36.918) Prec@5 66.875 (67.619) Epoch: [20][2350/11272] Time 0.850 (0.806) Data 0.002 (0.002) Loss 2.6592 (2.5964) Prec@1 37.500 (36.912) Prec@5 72.500 (67.624) Epoch: [20][2360/11272] Time 0.763 (0.806) Data 0.002 (0.002) Loss 2.5719 (2.5963) Prec@1 31.875 (36.907) Prec@5 68.750 (67.627) Epoch: [20][2370/11272] Time 0.859 (0.806) Data 0.001 (0.002) Loss 2.4271 (2.5960) Prec@1 40.625 (36.907) Prec@5 70.000 (67.630) Epoch: [20][2380/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.5056 (2.5957) Prec@1 39.375 (36.915) Prec@5 68.125 (67.634) Epoch: [20][2390/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.8673 (2.5961) Prec@1 30.000 (36.908) Prec@5 64.375 (67.628) Epoch: [20][2400/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.6271 (2.5963) Prec@1 35.625 (36.904) Prec@5 61.250 (67.624) Epoch: [20][2410/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.3254 (2.5960) Prec@1 46.250 (36.905) Prec@5 73.750 (67.633) Epoch: [20][2420/11272] Time 0.868 (0.806) Data 0.001 (0.002) Loss 2.4342 (2.5960) Prec@1 36.250 (36.905) Prec@5 73.125 (67.640) Epoch: [20][2430/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.5274 (2.5956) Prec@1 40.000 (36.912) Prec@5 69.375 (67.648) Epoch: [20][2440/11272] Time 0.720 (0.806) Data 0.001 (0.002) Loss 2.4564 (2.5958) Prec@1 37.500 (36.907) Prec@5 68.125 (67.643) Epoch: [20][2450/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.6206 (2.5959) Prec@1 35.625 (36.907) Prec@5 69.375 (67.642) Epoch: [20][2460/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 2.6960 (2.5963) Prec@1 34.375 (36.902) Prec@5 68.125 (67.637) Epoch: [20][2470/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.6166 (2.5964) Prec@1 29.375 (36.902) Prec@5 69.375 (67.634) Epoch: [20][2480/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.7301 (2.5966) Prec@1 30.000 (36.896) Prec@5 63.750 (67.630) Epoch: [20][2490/11272] Time 0.839 (0.806) Data 0.001 (0.002) Loss 2.2802 (2.5967) Prec@1 43.750 (36.891) Prec@5 75.000 (67.631) Epoch: [20][2500/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7435 (2.5965) Prec@1 31.250 (36.891) Prec@5 64.375 (67.631) Epoch: [20][2510/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6293 (2.5964) Prec@1 36.250 (36.894) Prec@5 63.750 (67.627) Epoch: [20][2520/11272] Time 0.829 (0.806) Data 0.001 (0.002) Loss 2.4658 (2.5967) Prec@1 36.250 (36.890) Prec@5 68.125 (67.625) Epoch: [20][2530/11272] Time 0.834 (0.806) Data 0.002 (0.002) Loss 2.6022 (2.5969) Prec@1 33.125 (36.885) Prec@5 71.250 (67.623) Epoch: [20][2540/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.7165 (2.5970) Prec@1 35.625 (36.890) Prec@5 63.125 (67.622) Epoch: [20][2550/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.4729 (2.5969) Prec@1 36.875 (36.892) Prec@5 71.875 (67.622) Epoch: [20][2560/11272] Time 0.927 (0.806) Data 0.002 (0.002) Loss 2.6191 (2.5971) Prec@1 35.625 (36.887) Prec@5 64.375 (67.622) Epoch: [20][2570/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.4092 (2.5973) Prec@1 38.125 (36.884) Prec@5 70.625 (67.616) Epoch: [20][2580/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.5120 (2.5972) Prec@1 38.125 (36.887) Prec@5 73.125 (67.619) Epoch: [20][2590/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7102 (2.5971) Prec@1 40.000 (36.892) Prec@5 68.750 (67.620) Epoch: [20][2600/11272] Time 0.896 (0.806) Data 0.003 (0.002) Loss 2.3280 (2.5971) Prec@1 38.125 (36.894) Prec@5 75.625 (67.621) Epoch: [20][2610/11272] Time 0.915 (0.806) Data 0.002 (0.002) Loss 2.6763 (2.5972) Prec@1 33.750 (36.893) Prec@5 68.125 (67.617) Epoch: [20][2620/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.6132 (2.5972) Prec@1 35.625 (36.897) Prec@5 67.500 (67.615) Epoch: [20][2630/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.8348 (2.5976) Prec@1 32.500 (36.889) Prec@5 63.750 (67.601) Epoch: [20][2640/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.7012 (2.5977) Prec@1 36.875 (36.884) Prec@5 65.000 (67.598) Epoch: [20][2650/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.5768 (2.5980) Prec@1 38.125 (36.878) Prec@5 66.875 (67.592) Epoch: [20][2660/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5220 (2.5981) Prec@1 39.375 (36.879) Prec@5 70.625 (67.593) Epoch: [20][2670/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6980 (2.5984) Prec@1 35.625 (36.873) Prec@5 63.125 (67.590) Epoch: [20][2680/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.6130 (2.5984) Prec@1 39.375 (36.878) Prec@5 64.375 (67.587) Epoch: [20][2690/11272] Time 0.725 (0.807) Data 0.002 (0.002) Loss 2.3218 (2.5981) Prec@1 43.750 (36.887) Prec@5 71.875 (67.588) Epoch: [20][2700/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 2.7727 (2.5980) Prec@1 28.750 (36.888) Prec@5 63.125 (67.596) Epoch: [20][2710/11272] Time 0.966 (0.807) Data 0.002 (0.002) Loss 2.4374 (2.5983) Prec@1 44.375 (36.888) Prec@5 70.625 (67.589) Epoch: [20][2720/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.5160 (2.5980) Prec@1 33.125 (36.889) Prec@5 65.625 (67.593) Epoch: [20][2730/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.5457 (2.5981) Prec@1 36.250 (36.894) Prec@5 69.375 (67.593) Epoch: [20][2740/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5009 (2.5980) Prec@1 40.625 (36.904) Prec@5 72.500 (67.598) Epoch: [20][2750/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.2470 (2.5978) Prec@1 42.500 (36.912) Prec@5 71.250 (67.605) Epoch: [20][2760/11272] Time 0.771 (0.807) Data 0.003 (0.002) Loss 2.6232 (2.5978) Prec@1 32.500 (36.912) Prec@5 65.625 (67.606) Epoch: [20][2770/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.6714 (2.5979) Prec@1 40.000 (36.914) Prec@5 66.250 (67.604) Epoch: [20][2780/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.4729 (2.5976) Prec@1 36.875 (36.912) Prec@5 67.500 (67.613) Epoch: [20][2790/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.7013 (2.5975) Prec@1 34.375 (36.910) Prec@5 65.625 (67.613) Epoch: [20][2800/11272] Time 0.714 (0.807) Data 0.001 (0.002) Loss 2.7815 (2.5975) Prec@1 34.375 (36.906) Prec@5 66.875 (67.611) Epoch: [20][2810/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.4390 (2.5976) Prec@1 36.250 (36.902) Prec@5 71.250 (67.610) Epoch: [20][2820/11272] Time 0.832 (0.807) Data 0.002 (0.002) Loss 2.7120 (2.5976) Prec@1 38.125 (36.904) Prec@5 65.000 (67.609) Epoch: [20][2830/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.6999 (2.5977) Prec@1 35.000 (36.900) Prec@5 66.250 (67.609) Epoch: [20][2840/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.6606 (2.5977) Prec@1 30.000 (36.895) Prec@5 66.875 (67.611) Epoch: [20][2850/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.6298 (2.5975) Prec@1 35.000 (36.900) Prec@5 66.875 (67.613) Epoch: [20][2860/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.8279 (2.5973) Prec@1 30.625 (36.903) Prec@5 65.625 (67.619) Epoch: [20][2870/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.7694 (2.5976) Prec@1 34.375 (36.896) Prec@5 63.750 (67.613) Epoch: [20][2880/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.5239 (2.5976) Prec@1 41.875 (36.897) Prec@5 68.750 (67.614) Epoch: [20][2890/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.6799 (2.5976) Prec@1 34.375 (36.891) Prec@5 61.875 (67.611) Epoch: [20][2900/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.8081 (2.5980) Prec@1 36.250 (36.881) Prec@5 63.750 (67.605) Epoch: [20][2910/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.7371 (2.5980) Prec@1 30.000 (36.882) Prec@5 63.125 (67.608) Epoch: [20][2920/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.8554 (2.5983) Prec@1 33.125 (36.878) Prec@5 61.250 (67.603) Epoch: [20][2930/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.2968 (2.5980) Prec@1 42.500 (36.890) Prec@5 75.625 (67.611) Epoch: [20][2940/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.5843 (2.5979) Prec@1 40.625 (36.896) Prec@5 69.375 (67.617) Epoch: [20][2950/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5307 (2.5980) Prec@1 41.250 (36.897) Prec@5 64.375 (67.616) Epoch: [20][2960/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4770 (2.5979) Prec@1 38.125 (36.898) Prec@5 70.000 (67.618) Epoch: [20][2970/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.3898 (2.5977) Prec@1 45.625 (36.905) Prec@5 70.625 (67.618) Epoch: [20][2980/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.8184 (2.5977) Prec@1 30.000 (36.906) Prec@5 65.625 (67.622) Epoch: [20][2990/11272] Time 0.808 (0.807) Data 0.002 (0.002) Loss 2.6340 (2.5978) Prec@1 36.875 (36.908) Prec@5 66.875 (67.623) Epoch: [20][3000/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.6603 (2.5980) Prec@1 36.250 (36.907) Prec@5 65.625 (67.616) Epoch: [20][3010/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.7058 (2.5980) Prec@1 31.875 (36.907) Prec@5 63.750 (67.617) Epoch: [20][3020/11272] Time 0.758 (0.807) Data 0.003 (0.002) Loss 2.4744 (2.5979) Prec@1 41.250 (36.908) Prec@5 68.125 (67.617) Epoch: [20][3030/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.7454 (2.5980) Prec@1 33.750 (36.908) Prec@5 66.875 (67.614) Epoch: [20][3040/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6157 (2.5983) Prec@1 36.875 (36.902) Prec@5 67.500 (67.608) Epoch: [20][3050/11272] Time 0.895 (0.807) Data 0.001 (0.002) Loss 2.4539 (2.5987) Prec@1 41.250 (36.899) Prec@5 69.375 (67.599) Epoch: [20][3060/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.7855 (2.5985) Prec@1 34.375 (36.902) Prec@5 64.375 (67.600) Epoch: [20][3070/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.5898 (2.5985) Prec@1 40.625 (36.903) Prec@5 69.375 (67.600) Epoch: [20][3080/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.6197 (2.5985) Prec@1 35.625 (36.903) Prec@5 67.500 (67.600) Epoch: [20][3090/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.7846 (2.5989) Prec@1 36.250 (36.899) Prec@5 63.750 (67.593) Epoch: [20][3100/11272] Time 0.703 (0.807) Data 0.001 (0.002) Loss 2.9872 (2.5993) Prec@1 31.250 (36.897) Prec@5 60.000 (67.587) Epoch: [20][3110/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4401 (2.5994) Prec@1 41.250 (36.894) Prec@5 71.875 (67.585) Epoch: [20][3120/11272] Time 0.962 (0.807) Data 0.002 (0.002) Loss 2.4097 (2.5993) Prec@1 43.750 (36.895) Prec@5 73.750 (67.589) Epoch: [20][3130/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.9606 (2.5996) Prec@1 32.500 (36.893) Prec@5 63.125 (67.581) Epoch: [20][3140/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5284 (2.6000) Prec@1 35.000 (36.884) Prec@5 65.625 (67.571) Epoch: [20][3150/11272] Time 0.890 (0.807) Data 0.001 (0.002) Loss 2.6734 (2.6001) Prec@1 37.500 (36.885) Prec@5 64.375 (67.571) Epoch: [20][3160/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.8793 (2.6002) Prec@1 28.750 (36.881) Prec@5 60.625 (67.567) Epoch: [20][3170/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.5724 (2.6004) Prec@1 40.625 (36.877) Prec@5 67.500 (67.566) Epoch: [20][3180/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.6118 (2.6001) Prec@1 37.500 (36.885) Prec@5 66.875 (67.570) Epoch: [20][3190/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.5888 (2.6001) Prec@1 33.125 (36.883) Prec@5 69.375 (67.575) Epoch: [20][3200/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.4697 (2.5999) Prec@1 42.500 (36.888) Prec@5 68.750 (67.577) Epoch: [20][3210/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5433 (2.6000) Prec@1 39.375 (36.890) Prec@5 68.750 (67.578) Epoch: [20][3220/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4966 (2.6000) Prec@1 36.875 (36.894) Prec@5 73.750 (67.583) Epoch: [20][3230/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.5197 (2.5999) Prec@1 40.625 (36.896) Prec@5 70.000 (67.583) Epoch: [20][3240/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.6499 (2.5999) Prec@1 33.750 (36.889) Prec@5 66.250 (67.579) Epoch: [20][3250/11272] Time 0.765 (0.807) Data 0.001 (0.002) Loss 2.6431 (2.5998) Prec@1 32.500 (36.893) Prec@5 66.250 (67.577) Epoch: [20][3260/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.6014 (2.5997) Prec@1 36.875 (36.896) Prec@5 68.750 (67.578) Epoch: [20][3270/11272] Time 0.870 (0.807) Data 0.003 (0.002) Loss 2.5555 (2.6000) Prec@1 38.750 (36.893) Prec@5 66.875 (67.572) Epoch: [20][3280/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.6827 (2.6002) Prec@1 35.000 (36.889) Prec@5 66.250 (67.567) Epoch: [20][3290/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.6235 (2.6001) Prec@1 36.250 (36.890) Prec@5 65.000 (67.569) Epoch: [20][3300/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.6337 (2.6000) Prec@1 39.375 (36.892) Prec@5 67.500 (67.576) Epoch: [20][3310/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.4215 (2.5997) Prec@1 37.500 (36.893) Prec@5 71.250 (67.582) Epoch: [20][3320/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.3971 (2.5995) Prec@1 40.625 (36.899) Prec@5 75.625 (67.589) Epoch: [20][3330/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.5538 (2.5994) Prec@1 40.000 (36.900) Prec@5 65.000 (67.588) Epoch: [20][3340/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.6634 (2.5993) Prec@1 36.875 (36.903) Prec@5 66.250 (67.588) Epoch: [20][3350/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 2.6347 (2.5992) Prec@1 40.000 (36.901) Prec@5 70.000 (67.590) Epoch: [20][3360/11272] Time 0.716 (0.807) Data 0.002 (0.002) Loss 2.7354 (2.5992) Prec@1 33.125 (36.905) Prec@5 65.000 (67.590) Epoch: [20][3370/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.6974 (2.5991) Prec@1 35.000 (36.907) Prec@5 66.250 (67.592) Epoch: [20][3380/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.5921 (2.5992) Prec@1 36.250 (36.907) Prec@5 69.375 (67.589) Epoch: [20][3390/11272] Time 0.893 (0.807) Data 0.002 (0.002) Loss 2.8902 (2.5993) Prec@1 31.875 (36.900) Prec@5 65.000 (67.586) Epoch: [20][3400/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6697 (2.5995) Prec@1 35.625 (36.898) Prec@5 66.875 (67.584) Epoch: [20][3410/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.5191 (2.5993) Prec@1 40.625 (36.904) Prec@5 66.875 (67.587) Epoch: [20][3420/11272] Time 0.843 (0.807) Data 0.001 (0.002) Loss 2.6027 (2.5990) Prec@1 36.250 (36.908) Prec@5 70.625 (67.591) Epoch: [20][3430/11272] Time 0.777 (0.807) Data 0.002 (0.002) Loss 2.5287 (2.5990) Prec@1 41.250 (36.911) Prec@5 68.125 (67.592) Epoch: [20][3440/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.6234 (2.5989) Prec@1 34.375 (36.912) Prec@5 68.125 (67.595) Epoch: [20][3450/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.4337 (2.5988) Prec@1 45.000 (36.916) Prec@5 67.500 (67.596) Epoch: [20][3460/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.9034 (2.5987) Prec@1 35.000 (36.918) Prec@5 60.625 (67.603) Epoch: [20][3470/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.9885 (2.5989) Prec@1 30.625 (36.915) Prec@5 60.625 (67.600) Epoch: [20][3480/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.6597 (2.5991) Prec@1 31.875 (36.910) Prec@5 66.875 (67.597) Epoch: [20][3490/11272] Time 0.915 (0.807) Data 0.002 (0.002) Loss 2.7057 (2.5992) Prec@1 34.375 (36.912) Prec@5 64.375 (67.591) Epoch: [20][3500/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.7531 (2.5994) Prec@1 35.000 (36.912) Prec@5 61.250 (67.584) Epoch: [20][3510/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.4451 (2.5994) Prec@1 33.750 (36.911) Prec@5 68.750 (67.587) Epoch: [20][3520/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4458 (2.5993) Prec@1 43.750 (36.921) Prec@5 69.375 (67.592) Epoch: [20][3530/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.6827 (2.5995) Prec@1 36.875 (36.921) Prec@5 64.375 (67.592) Epoch: [20][3540/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.5513 (2.5995) Prec@1 41.875 (36.920) Prec@5 69.375 (67.592) Epoch: [20][3550/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.6166 (2.5997) Prec@1 39.375 (36.914) Prec@5 65.625 (67.586) Epoch: [20][3560/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.3785 (2.5999) Prec@1 41.875 (36.915) Prec@5 73.125 (67.587) Epoch: [20][3570/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.9626 (2.6000) Prec@1 30.000 (36.910) Prec@5 63.750 (67.581) Epoch: [20][3580/11272] Time 0.758 (0.807) Data 0.001 (0.002) Loss 2.5850 (2.6000) Prec@1 35.625 (36.912) Prec@5 70.625 (67.584) Epoch: [20][3590/11272] Time 0.734 (0.808) Data 0.002 (0.002) Loss 2.4213 (2.5997) Prec@1 42.500 (36.918) Prec@5 66.875 (67.585) Epoch: [20][3600/11272] Time 0.939 (0.808) Data 0.002 (0.002) Loss 2.6840 (2.5999) Prec@1 33.750 (36.914) Prec@5 67.500 (67.581) Epoch: [20][3610/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.5940 (2.6000) Prec@1 40.625 (36.914) Prec@5 66.875 (67.577) Epoch: [20][3620/11272] Time 0.752 (0.808) Data 0.001 (0.002) Loss 2.6083 (2.6002) Prec@1 39.375 (36.916) Prec@5 69.375 (67.574) Epoch: [20][3630/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.5318 (2.6003) Prec@1 38.125 (36.913) Prec@5 73.125 (67.575) Epoch: [20][3640/11272] Time 0.920 (0.808) Data 0.002 (0.002) Loss 2.5840 (2.6005) Prec@1 31.250 (36.908) Prec@5 68.125 (67.573) Epoch: [20][3650/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.8409 (2.6006) Prec@1 35.000 (36.906) Prec@5 61.250 (67.571) Epoch: [20][3660/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5443 (2.6006) Prec@1 37.500 (36.904) Prec@5 65.000 (67.571) Epoch: [20][3670/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5187 (2.6007) Prec@1 40.625 (36.898) Prec@5 69.375 (67.567) Epoch: [20][3680/11272] Time 0.917 (0.808) Data 0.002 (0.002) Loss 2.7245 (2.6007) Prec@1 36.250 (36.897) Prec@5 69.375 (67.567) Epoch: [20][3690/11272] Time 0.747 (0.808) Data 0.004 (0.002) Loss 2.5522 (2.6004) Prec@1 40.625 (36.899) Prec@5 68.125 (67.570) Epoch: [20][3700/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.8080 (2.6004) Prec@1 32.500 (36.896) Prec@5 62.500 (67.569) Epoch: [20][3710/11272] Time 0.848 (0.808) Data 0.001 (0.002) Loss 2.6682 (2.6005) Prec@1 33.750 (36.896) Prec@5 63.750 (67.566) Epoch: [20][3720/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.5557 (2.6005) Prec@1 36.875 (36.896) Prec@5 72.500 (67.568) Epoch: [20][3730/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5596 (2.6003) Prec@1 35.625 (36.899) Prec@5 65.625 (67.571) Epoch: [20][3740/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.4858 (2.6001) Prec@1 38.750 (36.902) Prec@5 71.875 (67.577) Epoch: [20][3750/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.5811 (2.6000) Prec@1 36.875 (36.903) Prec@5 63.750 (67.577) Epoch: [20][3760/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.5788 (2.6000) Prec@1 38.125 (36.906) Prec@5 70.625 (67.579) Epoch: [20][3770/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.4068 (2.6001) Prec@1 43.125 (36.906) Prec@5 73.125 (67.580) Epoch: [20][3780/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.6025 (2.6000) Prec@1 36.250 (36.907) Prec@5 68.125 (67.582) Epoch: [20][3790/11272] Time 0.895 (0.808) Data 0.002 (0.002) Loss 2.7618 (2.6001) Prec@1 33.750 (36.906) Prec@5 67.500 (67.584) Epoch: [20][3800/11272] Time 0.922 (0.808) Data 0.002 (0.002) Loss 2.5992 (2.5999) Prec@1 36.875 (36.904) Prec@5 69.375 (67.589) Epoch: [20][3810/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.6465 (2.6000) Prec@1 34.375 (36.899) Prec@5 66.250 (67.585) Epoch: [20][3820/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.6917 (2.5999) Prec@1 39.375 (36.902) Prec@5 63.750 (67.587) Epoch: [20][3830/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.8472 (2.6000) Prec@1 31.250 (36.896) Prec@5 64.375 (67.588) Epoch: [20][3840/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.4851 (2.5999) Prec@1 39.375 (36.898) Prec@5 70.625 (67.590) Epoch: [20][3850/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.5327 (2.6002) Prec@1 35.625 (36.892) Prec@5 68.125 (67.587) Epoch: [20][3860/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.6225 (2.6002) Prec@1 33.750 (36.890) Prec@5 65.000 (67.586) Epoch: [20][3870/11272] Time 0.934 (0.808) Data 0.002 (0.002) Loss 2.4582 (2.6002) Prec@1 41.250 (36.892) Prec@5 67.500 (67.583) Epoch: [20][3880/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.6542 (2.6005) Prec@1 36.875 (36.889) Prec@5 67.500 (67.577) Epoch: [20][3890/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.7457 (2.6007) Prec@1 35.625 (36.884) Prec@5 64.375 (67.569) Epoch: [20][3900/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.3605 (2.6005) Prec@1 38.750 (36.886) Prec@5 75.625 (67.573) Epoch: [20][3910/11272] Time 0.919 (0.808) Data 0.002 (0.002) Loss 2.4962 (2.6006) Prec@1 34.375 (36.883) Prec@5 68.750 (67.571) Epoch: [20][3920/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.4796 (2.6007) Prec@1 40.625 (36.887) Prec@5 70.000 (67.566) Epoch: [20][3930/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.4170 (2.6007) Prec@1 38.750 (36.884) Prec@5 68.750 (67.564) Epoch: [20][3940/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.3453 (2.6006) Prec@1 41.875 (36.883) Prec@5 70.000 (67.567) Epoch: [20][3950/11272] Time 0.762 (0.808) Data 0.004 (0.002) Loss 2.4176 (2.6003) Prec@1 39.375 (36.886) Prec@5 72.500 (67.570) Epoch: [20][3960/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.7007 (2.6002) Prec@1 35.000 (36.890) Prec@5 65.625 (67.571) Epoch: [20][3970/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.3996 (2.6002) Prec@1 39.375 (36.889) Prec@5 72.500 (67.574) Epoch: [20][3980/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.7913 (2.6002) Prec@1 34.375 (36.890) Prec@5 60.625 (67.576) Epoch: [20][3990/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5410 (2.6002) Prec@1 38.125 (36.892) Prec@5 68.750 (67.575) Epoch: [20][4000/11272] Time 0.761 (0.808) Data 0.002 (0.002) Loss 2.7893 (2.6003) Prec@1 33.125 (36.891) Prec@5 61.875 (67.573) Epoch: [20][4010/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.6476 (2.6003) Prec@1 38.750 (36.892) Prec@5 67.500 (67.574) Epoch: [20][4020/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.5695 (2.6004) Prec@1 38.125 (36.892) Prec@5 70.000 (67.577) Epoch: [20][4030/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.7017 (2.6005) Prec@1 35.000 (36.890) Prec@5 67.500 (67.577) Epoch: [20][4040/11272] Time 0.773 (0.808) Data 0.002 (0.002) Loss 2.5735 (2.6005) Prec@1 43.125 (36.892) Prec@5 68.125 (67.576) Epoch: [20][4050/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.6588 (2.6006) Prec@1 38.750 (36.892) Prec@5 65.625 (67.575) Epoch: [20][4060/11272] Time 0.913 (0.808) Data 0.001 (0.002) Loss 2.6382 (2.6006) Prec@1 33.125 (36.890) Prec@5 66.250 (67.574) Epoch: [20][4070/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.4048 (2.6002) Prec@1 41.875 (36.894) Prec@5 74.375 (67.585) Epoch: [20][4080/11272] Time 0.886 (0.808) Data 0.001 (0.002) Loss 2.6071 (2.6003) Prec@1 38.125 (36.892) Prec@5 62.500 (67.582) Epoch: [20][4090/11272] Time 0.906 (0.808) Data 0.002 (0.002) Loss 2.6075 (2.6004) Prec@1 40.000 (36.891) Prec@5 68.125 (67.581) Epoch: [20][4100/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.2821 (2.6004) Prec@1 42.500 (36.889) Prec@5 72.500 (67.580) Epoch: [20][4110/11272] Time 0.745 (0.808) Data 0.001 (0.002) Loss 2.6744 (2.6005) Prec@1 36.250 (36.887) Prec@5 63.125 (67.578) Epoch: [20][4120/11272] Time 0.852 (0.808) Data 0.001 (0.002) Loss 2.8846 (2.6005) Prec@1 34.375 (36.884) Prec@5 61.250 (67.578) Epoch: [20][4130/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.5901 (2.6004) Prec@1 38.750 (36.887) Prec@5 66.250 (67.579) Epoch: [20][4140/11272] Time 0.747 (0.808) Data 0.001 (0.002) Loss 2.7735 (2.6003) Prec@1 34.375 (36.888) Prec@5 62.500 (67.580) Epoch: [20][4150/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.8786 (2.6004) Prec@1 36.250 (36.892) Prec@5 58.125 (67.579) Epoch: [20][4160/11272] Time 0.922 (0.808) Data 0.002 (0.002) Loss 2.6622 (2.6004) Prec@1 34.375 (36.890) Prec@5 66.875 (67.578) Epoch: [20][4170/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.3853 (2.6003) Prec@1 42.500 (36.893) Prec@5 69.375 (67.581) Epoch: [20][4180/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.6774 (2.6002) Prec@1 33.750 (36.896) Prec@5 64.375 (67.582) Epoch: [20][4190/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.2242 (2.6000) Prec@1 50.000 (36.901) Prec@5 75.000 (67.587) Epoch: [20][4200/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.5708 (2.6001) Prec@1 38.125 (36.901) Prec@5 65.000 (67.587) Epoch: [20][4210/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.4741 (2.6001) Prec@1 38.125 (36.901) Prec@5 73.750 (67.588) Epoch: [20][4220/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.4504 (2.6000) Prec@1 38.125 (36.899) Prec@5 70.625 (67.590) Epoch: [20][4230/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.6968 (2.6000) Prec@1 32.500 (36.897) Prec@5 65.000 (67.594) Epoch: [20][4240/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.6176 (2.5999) Prec@1 36.875 (36.897) Prec@5 66.875 (67.596) Epoch: [20][4250/11272] Time 0.716 (0.808) Data 0.001 (0.002) Loss 2.4327 (2.5999) Prec@1 38.750 (36.900) Prec@5 70.000 (67.598) Epoch: [20][4260/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5507 (2.5997) Prec@1 37.500 (36.900) Prec@5 70.625 (67.599) Epoch: [20][4270/11272] Time 0.910 (0.808) Data 0.002 (0.002) Loss 2.9266 (2.5999) Prec@1 30.000 (36.897) Prec@5 61.250 (67.597) Epoch: [20][4280/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.4894 (2.6000) Prec@1 41.250 (36.895) Prec@5 71.250 (67.594) Epoch: [20][4290/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.7418 (2.6002) Prec@1 35.625 (36.894) Prec@5 65.625 (67.591) Epoch: [20][4300/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.6808 (2.6003) Prec@1 31.250 (36.892) Prec@5 66.250 (67.587) Epoch: [20][4310/11272] Time 0.919 (0.808) Data 0.002 (0.002) Loss 2.5042 (2.6002) Prec@1 43.750 (36.894) Prec@5 69.375 (67.586) Epoch: [20][4320/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7113 (2.6003) Prec@1 35.625 (36.895) Prec@5 65.625 (67.587) Epoch: [20][4330/11272] Time 0.742 (0.808) Data 0.002 (0.002) Loss 2.7326 (2.6004) Prec@1 35.625 (36.891) Prec@5 63.750 (67.583) Epoch: [20][4340/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.7361 (2.6006) Prec@1 35.625 (36.890) Prec@5 63.750 (67.579) Epoch: [20][4350/11272] Time 0.930 (0.808) Data 0.001 (0.002) Loss 2.7409 (2.6006) Prec@1 31.875 (36.889) Prec@5 69.375 (67.579) Epoch: [20][4360/11272] Time 0.765 (0.808) Data 0.001 (0.002) Loss 2.4987 (2.6006) Prec@1 40.000 (36.888) Prec@5 65.625 (67.575) Epoch: [20][4370/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.6202 (2.6007) Prec@1 38.125 (36.884) Prec@5 65.000 (67.574) Epoch: [20][4380/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.2493 (2.6007) Prec@1 50.625 (36.885) Prec@5 75.625 (67.575) Epoch: [20][4390/11272] Time 0.832 (0.808) Data 0.002 (0.002) Loss 2.8814 (2.6006) Prec@1 36.875 (36.888) Prec@5 62.500 (67.576) Epoch: [20][4400/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.5147 (2.6006) Prec@1 35.625 (36.888) Prec@5 70.625 (67.576) Epoch: [20][4410/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6302 (2.6004) Prec@1 37.500 (36.890) Prec@5 70.000 (67.579) Epoch: [20][4420/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.4290 (2.6001) Prec@1 38.750 (36.894) Prec@5 70.000 (67.584) Epoch: [20][4430/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.6357 (2.6000) Prec@1 33.125 (36.899) Prec@5 61.250 (67.585) Epoch: [20][4440/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.6344 (2.6002) Prec@1 35.625 (36.893) Prec@5 65.625 (67.581) Epoch: [20][4450/11272] Time 0.762 (0.808) Data 0.002 (0.002) Loss 2.5934 (2.6002) Prec@1 35.000 (36.892) Prec@5 68.125 (67.581) Epoch: [20][4460/11272] Time 0.930 (0.808) Data 0.002 (0.002) Loss 2.5027 (2.6003) Prec@1 41.875 (36.891) Prec@5 70.625 (67.580) Epoch: [20][4470/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7066 (2.6003) Prec@1 31.875 (36.889) Prec@5 64.375 (67.581) Epoch: [20][4480/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.6310 (2.6003) Prec@1 42.500 (36.892) Prec@5 66.250 (67.580) Epoch: [20][4490/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 2.6266 (2.6004) Prec@1 36.250 (36.891) Prec@5 69.375 (67.579) Epoch: [20][4500/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.5664 (2.6004) Prec@1 35.625 (36.892) Prec@5 67.500 (67.576) Epoch: [20][4510/11272] Time 0.755 (0.808) Data 0.001 (0.002) Loss 2.7962 (2.6005) Prec@1 35.000 (36.891) Prec@5 65.000 (67.577) Epoch: [20][4520/11272] Time 0.751 (0.808) Data 0.001 (0.002) Loss 2.7163 (2.6006) Prec@1 32.500 (36.888) Prec@5 65.625 (67.573) Epoch: [20][4530/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.4106 (2.6006) Prec@1 36.250 (36.889) Prec@5 69.375 (67.573) Epoch: [20][4540/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.5661 (2.6004) Prec@1 35.625 (36.891) Prec@5 68.125 (67.574) Epoch: [20][4550/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.7932 (2.6005) Prec@1 33.750 (36.884) Prec@5 63.125 (67.572) Epoch: [20][4560/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 2.5272 (2.6005) Prec@1 34.375 (36.885) Prec@5 68.125 (67.571) Epoch: [20][4570/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.5239 (2.6005) Prec@1 35.000 (36.886) Prec@5 66.250 (67.572) Epoch: [20][4580/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.6597 (2.6005) Prec@1 36.250 (36.886) Prec@5 62.500 (67.573) Epoch: [20][4590/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.6802 (2.6005) Prec@1 36.875 (36.886) Prec@5 66.875 (67.574) Epoch: [20][4600/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.8516 (2.6008) Prec@1 26.875 (36.880) Prec@5 64.375 (67.571) Epoch: [20][4610/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5351 (2.6007) Prec@1 41.250 (36.883) Prec@5 70.000 (67.576) Epoch: [20][4620/11272] Time 0.752 (0.808) Data 0.003 (0.002) Loss 2.4286 (2.6005) Prec@1 41.250 (36.886) Prec@5 68.125 (67.578) Epoch: [20][4630/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.8068 (2.6006) Prec@1 27.500 (36.881) Prec@5 60.625 (67.572) Epoch: [20][4640/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.7913 (2.6007) Prec@1 32.500 (36.879) Prec@5 65.625 (67.571) Epoch: [20][4650/11272] Time 0.943 (0.808) Data 0.002 (0.002) Loss 2.7787 (2.6008) Prec@1 34.375 (36.877) Prec@5 64.375 (67.568) Epoch: [20][4660/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.6922 (2.6010) Prec@1 35.000 (36.875) Prec@5 61.250 (67.566) Epoch: [20][4670/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.4192 (2.6009) Prec@1 45.000 (36.878) Prec@5 70.000 (67.567) Epoch: [20][4680/11272] Time 0.861 (0.808) Data 0.001 (0.002) Loss 2.2666 (2.6008) Prec@1 41.875 (36.881) Prec@5 77.500 (67.567) Epoch: [20][4690/11272] Time 0.912 (0.809) Data 0.002 (0.002) Loss 2.4570 (2.6008) Prec@1 39.375 (36.881) Prec@5 68.125 (67.566) Epoch: [20][4700/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.5097 (2.6008) Prec@1 38.125 (36.882) Prec@5 70.000 (67.565) Epoch: [20][4710/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.7149 (2.6008) Prec@1 32.500 (36.880) Prec@5 66.250 (67.566) Epoch: [20][4720/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.7496 (2.6007) Prec@1 33.750 (36.880) Prec@5 68.750 (67.570) Epoch: [20][4730/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.4741 (2.6005) Prec@1 37.500 (36.880) Prec@5 70.000 (67.572) Epoch: [20][4740/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.5885 (2.6005) Prec@1 37.500 (36.879) Prec@5 68.750 (67.575) Epoch: [20][4750/11272] Time 0.862 (0.809) Data 0.001 (0.002) Loss 2.3022 (2.6005) Prec@1 45.625 (36.877) Prec@5 75.000 (67.578) Epoch: [20][4760/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.7858 (2.6005) Prec@1 34.375 (36.874) Prec@5 69.375 (67.581) Epoch: [20][4770/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.5195 (2.6006) Prec@1 38.125 (36.874) Prec@5 68.750 (67.578) Epoch: [20][4780/11272] Time 0.762 (0.809) Data 0.002 (0.002) Loss 2.7504 (2.6006) Prec@1 38.125 (36.876) Prec@5 64.375 (67.577) Epoch: [20][4790/11272] Time 0.879 (0.809) Data 0.002 (0.002) Loss 2.5837 (2.6008) Prec@1 38.125 (36.874) Prec@5 68.125 (67.576) Epoch: [20][4800/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.5520 (2.6008) Prec@1 35.625 (36.874) Prec@5 66.875 (67.574) Epoch: [20][4810/11272] Time 0.751 (0.809) Data 0.001 (0.002) Loss 2.7693 (2.6008) Prec@1 39.375 (36.875) Prec@5 63.125 (67.575) Epoch: [20][4820/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.6697 (2.6006) Prec@1 35.625 (36.878) Prec@5 68.750 (67.578) Epoch: [20][4830/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.6904 (2.6007) Prec@1 36.875 (36.876) Prec@5 68.125 (67.576) Epoch: [20][4840/11272] Time 0.848 (0.809) Data 0.004 (0.002) Loss 2.7593 (2.6009) Prec@1 36.875 (36.875) Prec@5 62.500 (67.573) Epoch: [20][4850/11272] Time 0.770 (0.809) Data 0.002 (0.002) Loss 2.6335 (2.6011) Prec@1 35.625 (36.873) Prec@5 68.750 (67.572) Epoch: [20][4860/11272] Time 0.755 (0.809) Data 0.001 (0.002) Loss 2.7493 (2.6013) Prec@1 36.875 (36.870) Prec@5 60.000 (67.568) Epoch: [20][4870/11272] Time 0.898 (0.809) Data 0.002 (0.002) Loss 2.6290 (2.6011) Prec@1 34.375 (36.873) Prec@5 65.000 (67.569) Epoch: [20][4880/11272] Time 0.784 (0.808) Data 0.004 (0.002) Loss 2.6449 (2.6011) Prec@1 30.625 (36.870) Prec@5 68.750 (67.571) Epoch: [20][4890/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5490 (2.6012) Prec@1 38.125 (36.873) Prec@5 68.125 (67.569) Epoch: [20][4900/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.5323 (2.6010) Prec@1 41.250 (36.874) Prec@5 70.000 (67.571) Epoch: [20][4910/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.6490 (2.6010) Prec@1 36.250 (36.877) Prec@5 66.250 (67.572) Epoch: [20][4920/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.5157 (2.6008) Prec@1 35.000 (36.879) Prec@5 73.125 (67.576) Epoch: [20][4930/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7774 (2.6009) Prec@1 35.625 (36.879) Prec@5 67.500 (67.574) Epoch: [20][4940/11272] Time 0.870 (0.809) Data 0.001 (0.002) Loss 2.7553 (2.6007) Prec@1 37.500 (36.882) Prec@5 63.750 (67.575) Epoch: [20][4950/11272] Time 0.900 (0.809) Data 0.002 (0.002) Loss 2.5784 (2.6007) Prec@1 34.375 (36.884) Prec@5 69.375 (67.573) Epoch: [20][4960/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.3659 (2.6008) Prec@1 41.250 (36.882) Prec@5 70.625 (67.573) Epoch: [20][4970/11272] Time 0.720 (0.809) Data 0.001 (0.002) Loss 2.8586 (2.6007) Prec@1 28.125 (36.887) Prec@5 60.625 (67.572) Epoch: [20][4980/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.5875 (2.6007) Prec@1 36.875 (36.888) Prec@5 66.875 (67.573) Epoch: [20][4990/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.3417 (2.6006) Prec@1 44.375 (36.891) Prec@5 74.375 (67.575) Epoch: [20][5000/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.7742 (2.6007) Prec@1 38.125 (36.893) Prec@5 66.250 (67.574) Epoch: [20][5010/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.4062 (2.6006) Prec@1 40.625 (36.893) Prec@5 69.375 (67.576) Epoch: [20][5020/11272] Time 0.863 (0.809) Data 0.001 (0.002) Loss 2.7611 (2.6006) Prec@1 33.750 (36.890) Prec@5 66.250 (67.576) Epoch: [20][5030/11272] Time 0.751 (0.809) Data 0.002 (0.002) Loss 2.5531 (2.6006) Prec@1 37.500 (36.892) Prec@5 71.875 (67.579) Epoch: [20][5040/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.5895 (2.6005) Prec@1 40.000 (36.894) Prec@5 62.500 (67.579) Epoch: [20][5050/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.6558 (2.6005) Prec@1 36.875 (36.894) Prec@5 69.375 (67.580) Epoch: [20][5060/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.5467 (2.6006) Prec@1 41.875 (36.893) Prec@5 65.625 (67.578) Epoch: [20][5070/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.6773 (2.6006) Prec@1 35.625 (36.894) Prec@5 65.000 (67.579) Epoch: [20][5080/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.6777 (2.6007) Prec@1 31.250 (36.890) Prec@5 67.500 (67.578) Epoch: [20][5090/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.5234 (2.6006) Prec@1 41.250 (36.890) Prec@5 68.125 (67.581) Epoch: [20][5100/11272] Time 0.897 (0.809) Data 0.002 (0.002) Loss 3.0528 (2.6009) Prec@1 30.000 (36.884) Prec@5 60.625 (67.575) Epoch: [20][5110/11272] Time 0.728 (0.809) Data 0.002 (0.002) Loss 2.7552 (2.6008) Prec@1 35.625 (36.887) Prec@5 63.125 (67.576) Epoch: [20][5120/11272] Time 0.739 (0.809) Data 0.002 (0.002) Loss 2.6248 (2.6009) Prec@1 37.500 (36.885) Prec@5 62.500 (67.573) Epoch: [20][5130/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.5514 (2.6009) Prec@1 37.500 (36.884) Prec@5 68.125 (67.574) Epoch: [20][5140/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.8702 (2.6009) Prec@1 31.875 (36.881) Prec@5 58.125 (67.574) Epoch: [20][5150/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.8720 (2.6010) Prec@1 33.125 (36.880) Prec@5 65.000 (67.573) Epoch: [20][5160/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.4282 (2.6009) Prec@1 41.250 (36.881) Prec@5 71.250 (67.575) Epoch: [20][5170/11272] Time 0.915 (0.809) Data 0.002 (0.002) Loss 2.7651 (2.6009) Prec@1 34.375 (36.883) Prec@5 63.750 (67.577) Epoch: [20][5180/11272] Time 0.732 (0.809) Data 0.002 (0.002) Loss 2.5605 (2.6009) Prec@1 33.750 (36.882) Prec@5 68.125 (67.578) Epoch: [20][5190/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.6031 (2.6011) Prec@1 30.000 (36.877) Prec@5 68.750 (67.574) Epoch: [20][5200/11272] Time 0.934 (0.809) Data 0.002 (0.002) Loss 2.8613 (2.6011) Prec@1 32.500 (36.878) Prec@5 62.500 (67.572) Epoch: [20][5210/11272] Time 0.868 (0.809) Data 0.001 (0.002) Loss 2.4226 (2.6011) Prec@1 40.625 (36.877) Prec@5 71.250 (67.572) Epoch: [20][5220/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.1988 (2.6011) Prec@1 45.625 (36.878) Prec@5 80.625 (67.572) Epoch: [20][5230/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.3541 (2.6009) Prec@1 42.500 (36.876) Prec@5 73.750 (67.575) Epoch: [20][5240/11272] Time 0.895 (0.809) Data 0.002 (0.002) Loss 2.4643 (2.6009) Prec@1 39.375 (36.877) Prec@5 73.750 (67.577) Epoch: [20][5250/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.3824 (2.6008) Prec@1 40.625 (36.877) Prec@5 71.250 (67.577) Epoch: [20][5260/11272] Time 0.769 (0.809) Data 0.002 (0.002) Loss 2.8315 (2.6010) Prec@1 35.000 (36.875) Prec@5 61.875 (67.572) Epoch: [20][5270/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.6297 (2.6011) Prec@1 38.750 (36.875) Prec@5 66.250 (67.572) Epoch: [20][5280/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.8749 (2.6013) Prec@1 30.625 (36.870) Prec@5 65.625 (67.569) Epoch: [20][5290/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.5267 (2.6013) Prec@1 38.125 (36.868) Prec@5 70.625 (67.569) Epoch: [20][5300/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5210 (2.6015) Prec@1 40.000 (36.865) Prec@5 67.500 (67.564) Epoch: [20][5310/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 2.6460 (2.6015) Prec@1 31.875 (36.863) Prec@5 66.250 (67.564) Epoch: [20][5320/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.4186 (2.6015) Prec@1 40.000 (36.860) Prec@5 68.125 (67.564) Epoch: [20][5330/11272] Time 0.735 (0.809) Data 0.002 (0.002) Loss 2.5255 (2.6015) Prec@1 34.375 (36.859) Prec@5 73.125 (67.566) Epoch: [20][5340/11272] Time 0.713 (0.809) Data 0.001 (0.002) Loss 2.4574 (2.6017) Prec@1 38.125 (36.855) Prec@5 68.750 (67.561) Epoch: [20][5350/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.6121 (2.6016) Prec@1 37.500 (36.856) Prec@5 64.375 (67.561) Epoch: [20][5360/11272] Time 0.853 (0.809) Data 0.001 (0.002) Loss 2.8952 (2.6018) Prec@1 35.000 (36.854) Prec@5 61.875 (67.557) Epoch: [20][5370/11272] Time 0.759 (0.809) Data 0.001 (0.002) Loss 2.6063 (2.6018) Prec@1 40.000 (36.856) Prec@5 69.375 (67.557) Epoch: [20][5380/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.4618 (2.6018) Prec@1 38.750 (36.857) Prec@5 70.625 (67.556) Epoch: [20][5390/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.5270 (2.6018) Prec@1 35.000 (36.855) Prec@5 70.625 (67.557) Epoch: [20][5400/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.5333 (2.6018) Prec@1 38.125 (36.857) Prec@5 68.750 (67.557) Epoch: [20][5410/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.5850 (2.6018) Prec@1 33.750 (36.858) Prec@5 70.000 (67.556) Epoch: [20][5420/11272] Time 0.845 (0.809) Data 0.002 (0.002) Loss 2.5676 (2.6018) Prec@1 39.375 (36.858) Prec@5 70.625 (67.555) Epoch: [20][5430/11272] Time 0.912 (0.809) Data 0.002 (0.002) Loss 2.3900 (2.6017) Prec@1 42.500 (36.859) Prec@5 70.625 (67.555) Epoch: [20][5440/11272] Time 0.712 (0.809) Data 0.001 (0.002) Loss 2.7568 (2.6017) Prec@1 35.625 (36.860) Prec@5 61.250 (67.558) Epoch: [20][5450/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.6838 (2.6018) Prec@1 35.000 (36.857) Prec@5 65.000 (67.556) Epoch: [20][5460/11272] Time 0.900 (0.809) Data 0.002 (0.002) Loss 2.5225 (2.6018) Prec@1 37.500 (36.858) Prec@5 68.750 (67.557) Epoch: [20][5470/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.6619 (2.6020) Prec@1 33.125 (36.852) Prec@5 65.625 (67.557) Epoch: [20][5480/11272] Time 0.757 (0.809) Data 0.001 (0.002) Loss 2.7101 (2.6019) Prec@1 36.250 (36.855) Prec@5 62.500 (67.558) Epoch: [20][5490/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.4945 (2.6019) Prec@1 42.500 (36.856) Prec@5 66.875 (67.557) Epoch: [20][5500/11272] Time 0.830 (0.809) Data 0.001 (0.002) Loss 2.6004 (2.6017) Prec@1 36.875 (36.860) Prec@5 66.250 (67.558) Epoch: [20][5510/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.8225 (2.6017) Prec@1 33.125 (36.859) Prec@5 63.125 (67.558) Epoch: [20][5520/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 3.0616 (2.6017) Prec@1 31.875 (36.857) Prec@5 59.375 (67.557) Epoch: [20][5530/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.5587 (2.6017) Prec@1 39.375 (36.857) Prec@5 68.125 (67.558) Epoch: [20][5540/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.6883 (2.6016) Prec@1 38.750 (36.859) Prec@5 63.750 (67.561) Epoch: [20][5550/11272] Time 0.726 (0.809) Data 0.003 (0.002) Loss 2.4808 (2.6014) Prec@1 41.875 (36.859) Prec@5 68.750 (67.567) Epoch: [20][5560/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.6300 (2.6014) Prec@1 35.000 (36.860) Prec@5 70.625 (67.569) Epoch: [20][5570/11272] Time 0.894 (0.809) Data 0.001 (0.002) Loss 2.7862 (2.6014) Prec@1 36.250 (36.859) Prec@5 66.250 (67.568) Epoch: [20][5580/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.8789 (2.6014) Prec@1 31.250 (36.858) Prec@5 64.375 (67.567) Epoch: [20][5590/11272] Time 0.734 (0.809) Data 0.002 (0.002) Loss 2.6800 (2.6014) Prec@1 30.625 (36.859) Prec@5 66.250 (67.568) Epoch: [20][5600/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.5127 (2.6014) Prec@1 36.875 (36.860) Prec@5 66.250 (67.566) Epoch: [20][5610/11272] Time 0.888 (0.809) Data 0.002 (0.002) Loss 2.8417 (2.6014) Prec@1 35.000 (36.860) Prec@5 61.250 (67.565) Epoch: [20][5620/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.7002 (2.6014) Prec@1 33.125 (36.861) Prec@5 65.625 (67.564) Epoch: [20][5630/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.4105 (2.6014) Prec@1 40.000 (36.861) Prec@5 71.250 (67.565) Epoch: [20][5640/11272] Time 0.713 (0.809) Data 0.001 (0.002) Loss 2.6320 (2.6013) Prec@1 38.125 (36.863) Prec@5 71.250 (67.568) Epoch: [20][5650/11272] Time 0.910 (0.809) Data 0.002 (0.002) Loss 2.6384 (2.6013) Prec@1 31.250 (36.866) Prec@5 70.625 (67.572) Epoch: [20][5660/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.7931 (2.6012) Prec@1 32.500 (36.868) Prec@5 65.625 (67.572) Epoch: [20][5670/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.4254 (2.6012) Prec@1 41.250 (36.869) Prec@5 70.625 (67.572) Epoch: [20][5680/11272] Time 0.883 (0.809) Data 0.001 (0.002) Loss 2.5335 (2.6012) Prec@1 40.000 (36.870) Prec@5 70.625 (67.572) Epoch: [20][5690/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.6651 (2.6012) Prec@1 38.125 (36.872) Prec@5 70.000 (67.571) Epoch: [20][5700/11272] Time 0.707 (0.809) Data 0.001 (0.002) Loss 2.5027 (2.6012) Prec@1 40.000 (36.874) Prec@5 69.375 (67.572) Epoch: [20][5710/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.4758 (2.6011) Prec@1 41.250 (36.877) Prec@5 66.250 (67.573) Epoch: [20][5720/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.6273 (2.6011) Prec@1 36.250 (36.879) Prec@5 68.750 (67.572) Epoch: [20][5730/11272] Time 0.918 (0.809) Data 0.002 (0.002) Loss 2.7737 (2.6010) Prec@1 36.250 (36.882) Prec@5 65.625 (67.575) Epoch: [20][5740/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.5541 (2.6009) Prec@1 41.875 (36.884) Prec@5 68.750 (67.580) Epoch: [20][5750/11272] Time 0.756 (0.809) Data 0.001 (0.002) Loss 2.5614 (2.6009) Prec@1 33.125 (36.883) Prec@5 72.500 (67.579) Epoch: [20][5760/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.6128 (2.6010) Prec@1 35.000 (36.883) Prec@5 65.625 (67.579) Epoch: [20][5770/11272] Time 0.914 (0.809) Data 0.002 (0.002) Loss 3.0246 (2.6011) Prec@1 30.625 (36.884) Prec@5 58.750 (67.577) Epoch: [20][5780/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.5826 (2.6011) Prec@1 42.500 (36.884) Prec@5 65.625 (67.576) Epoch: [20][5790/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.8172 (2.6011) Prec@1 33.125 (36.882) Prec@5 64.375 (67.576) Epoch: [20][5800/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.7398 (2.6011) Prec@1 32.500 (36.882) Prec@5 60.625 (67.574) Epoch: [20][5810/11272] Time 0.772 (0.809) Data 0.003 (0.002) Loss 2.7296 (2.6012) Prec@1 36.875 (36.882) Prec@5 64.375 (67.574) Epoch: [20][5820/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.4583 (2.6011) Prec@1 38.125 (36.883) Prec@5 68.125 (67.576) Epoch: [20][5830/11272] Time 0.929 (0.809) Data 0.002 (0.002) Loss 2.5558 (2.6011) Prec@1 36.875 (36.885) Prec@5 69.375 (67.579) Epoch: [20][5840/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.7068 (2.6011) Prec@1 36.250 (36.884) Prec@5 65.625 (67.578) Epoch: [20][5850/11272] Time 0.754 (0.809) Data 0.001 (0.002) Loss 2.7038 (2.6012) Prec@1 34.375 (36.883) Prec@5 67.500 (67.576) Epoch: [20][5860/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.4067 (2.6013) Prec@1 38.750 (36.880) Prec@5 72.500 (67.575) Epoch: [20][5870/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.5248 (2.6013) Prec@1 37.500 (36.879) Prec@5 68.750 (67.575) Epoch: [20][5880/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.6830 (2.6013) Prec@1 35.625 (36.878) Prec@5 65.000 (67.575) Epoch: [20][5890/11272] Time 0.714 (0.809) Data 0.001 (0.002) Loss 2.4379 (2.6013) Prec@1 40.625 (36.879) Prec@5 71.250 (67.576) Epoch: [20][5900/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.7580 (2.6014) Prec@1 36.250 (36.879) Prec@5 61.875 (67.574) Epoch: [20][5910/11272] Time 0.858 (0.809) Data 0.001 (0.002) Loss 2.5976 (2.6013) Prec@1 32.500 (36.877) Prec@5 71.250 (67.575) Epoch: [20][5920/11272] Time 0.842 (0.809) Data 0.002 (0.002) Loss 2.5040 (2.6013) Prec@1 38.125 (36.874) Prec@5 76.875 (67.577) Epoch: [20][5930/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.5785 (2.6011) Prec@1 36.875 (36.880) Prec@5 66.250 (67.579) Epoch: [20][5940/11272] Time 0.876 (0.809) Data 0.001 (0.002) Loss 2.7410 (2.6010) Prec@1 33.125 (36.881) Prec@5 65.000 (67.583) Epoch: [20][5950/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.7119 (2.6009) Prec@1 29.375 (36.881) Prec@5 63.125 (67.583) Epoch: [20][5960/11272] Time 0.716 (0.809) Data 0.002 (0.002) Loss 2.5145 (2.6009) Prec@1 38.750 (36.882) Prec@5 69.375 (67.583) Epoch: [20][5970/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.5565 (2.6008) Prec@1 41.250 (36.881) Prec@5 71.875 (67.585) Epoch: [20][5980/11272] Time 0.881 (0.809) Data 0.002 (0.002) Loss 2.5003 (2.6008) Prec@1 38.750 (36.884) Prec@5 71.250 (67.587) Epoch: [20][5990/11272] Time 0.902 (0.809) Data 0.002 (0.002) Loss 2.2928 (2.6007) Prec@1 45.000 (36.888) Prec@5 73.125 (67.588) Epoch: [20][6000/11272] Time 0.749 (0.809) Data 0.002 (0.002) Loss 2.4335 (2.6007) Prec@1 43.125 (36.885) Prec@5 65.625 (67.586) Epoch: [20][6010/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.5678 (2.6008) Prec@1 40.000 (36.885) Prec@5 66.875 (67.582) Epoch: [20][6020/11272] Time 0.906 (0.809) Data 0.002 (0.002) Loss 2.4213 (2.6008) Prec@1 38.750 (36.886) Prec@5 71.250 (67.583) Epoch: [20][6030/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.5795 (2.6009) Prec@1 35.625 (36.886) Prec@5 70.000 (67.582) Epoch: [20][6040/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.5572 (2.6009) Prec@1 32.500 (36.886) Prec@5 69.375 (67.581) Epoch: [20][6050/11272] Time 0.713 (0.809) Data 0.001 (0.002) Loss 2.7731 (2.6008) Prec@1 38.750 (36.886) Prec@5 63.125 (67.580) Epoch: [20][6060/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.5739 (2.6009) Prec@1 31.875 (36.883) Prec@5 66.875 (67.577) Epoch: [20][6070/11272] Time 0.919 (0.809) Data 0.002 (0.002) Loss 2.3995 (2.6007) Prec@1 43.750 (36.886) Prec@5 70.000 (67.577) Epoch: [20][6080/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.3578 (2.6008) Prec@1 40.625 (36.885) Prec@5 74.375 (67.577) Epoch: [20][6090/11272] Time 0.841 (0.809) Data 0.002 (0.002) Loss 2.3291 (2.6007) Prec@1 39.375 (36.883) Prec@5 70.000 (67.579) Epoch: [20][6100/11272] Time 0.849 (0.809) Data 0.002 (0.002) Loss 2.4816 (2.6008) Prec@1 41.875 (36.884) Prec@5 71.250 (67.578) Epoch: [20][6110/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.4262 (2.6007) Prec@1 43.750 (36.887) Prec@5 69.375 (67.577) Epoch: [20][6120/11272] Time 0.816 (0.809) Data 0.002 (0.002) Loss 2.6474 (2.6007) Prec@1 38.750 (36.890) Prec@5 66.250 (67.577) Epoch: [20][6130/11272] Time 0.840 (0.809) Data 0.001 (0.002) Loss 2.7566 (2.6009) Prec@1 33.125 (36.885) Prec@5 68.125 (67.575) Epoch: [20][6140/11272] Time 0.937 (0.809) Data 0.002 (0.002) Loss 2.4399 (2.6010) Prec@1 43.125 (36.885) Prec@5 71.250 (67.572) Epoch: [20][6150/11272] Time 0.768 (0.809) Data 0.003 (0.002) Loss 2.7378 (2.6009) Prec@1 37.500 (36.885) Prec@5 66.875 (67.575) Epoch: [20][6160/11272] Time 0.713 (0.809) Data 0.001 (0.002) Loss 2.7230 (2.6008) Prec@1 37.500 (36.889) Prec@5 64.375 (67.577) Epoch: [20][6170/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.5887 (2.6008) Prec@1 36.250 (36.890) Prec@5 69.375 (67.576) Epoch: [20][6180/11272] Time 0.902 (0.809) Data 0.002 (0.002) Loss 2.2934 (2.6007) Prec@1 44.375 (36.894) Prec@5 75.625 (67.578) Epoch: [20][6190/11272] Time 0.753 (0.809) Data 0.001 (0.002) Loss 2.5968 (2.6007) Prec@1 33.750 (36.893) Prec@5 70.625 (67.580) Epoch: [20][6200/11272] Time 0.768 (0.809) Data 0.002 (0.002) Loss 2.5267 (2.6008) Prec@1 37.500 (36.889) Prec@5 68.750 (67.579) Epoch: [20][6210/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.8052 (2.6008) Prec@1 31.875 (36.886) Prec@5 61.875 (67.580) Epoch: [20][6220/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 2.7535 (2.6009) Prec@1 34.375 (36.885) Prec@5 64.375 (67.578) Epoch: [20][6230/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.3403 (2.6007) Prec@1 44.375 (36.888) Prec@5 73.125 (67.582) Epoch: [20][6240/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.6784 (2.6008) Prec@1 31.875 (36.885) Prec@5 66.875 (67.581) Epoch: [20][6250/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.7472 (2.6009) Prec@1 32.500 (36.881) Prec@5 65.625 (67.576) Epoch: [20][6260/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.6784 (2.6009) Prec@1 33.125 (36.882) Prec@5 64.375 (67.575) Epoch: [20][6270/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.4798 (2.6009) Prec@1 35.625 (36.881) Prec@5 70.625 (67.574) Epoch: [20][6280/11272] Time 0.918 (0.809) Data 0.002 (0.002) Loss 2.4562 (2.6009) Prec@1 44.375 (36.881) Prec@5 65.625 (67.574) Epoch: [20][6290/11272] Time 0.872 (0.809) Data 0.002 (0.002) Loss 2.5969 (2.6009) Prec@1 35.000 (36.880) Prec@5 69.375 (67.574) Epoch: [20][6300/11272] Time 0.718 (0.809) Data 0.001 (0.002) Loss 2.5839 (2.6010) Prec@1 38.125 (36.880) Prec@5 65.625 (67.571) Epoch: [20][6310/11272] Time 0.782 (0.809) Data 0.001 (0.002) Loss 2.5911 (2.6009) Prec@1 33.125 (36.880) Prec@5 68.125 (67.572) Epoch: [20][6320/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.3987 (2.6009) Prec@1 38.125 (36.879) Prec@5 67.500 (67.571) Epoch: [20][6330/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.7684 (2.6010) Prec@1 33.125 (36.876) Prec@5 62.500 (67.570) Epoch: [20][6340/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.2227 (2.6008) Prec@1 45.625 (36.879) Prec@5 73.750 (67.574) Epoch: [20][6350/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.4442 (2.6007) Prec@1 39.375 (36.880) Prec@5 76.250 (67.575) Epoch: [20][6360/11272] Time 0.822 (0.809) Data 0.002 (0.002) Loss 2.4092 (2.6006) Prec@1 40.625 (36.879) Prec@5 71.250 (67.579) Epoch: [20][6370/11272] Time 0.744 (0.809) Data 0.002 (0.002) Loss 2.5923 (2.6007) Prec@1 35.000 (36.879) Prec@5 65.625 (67.578) Epoch: [20][6380/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.6490 (2.6008) Prec@1 34.375 (36.877) Prec@5 71.250 (67.576) Epoch: [20][6390/11272] Time 0.923 (0.809) Data 0.002 (0.002) Loss 2.7598 (2.6008) Prec@1 31.875 (36.878) Prec@5 63.750 (67.575) Epoch: [20][6400/11272] Time 0.841 (0.809) Data 0.001 (0.002) Loss 2.7924 (2.6009) Prec@1 34.375 (36.875) Prec@5 63.125 (67.573) Epoch: [20][6410/11272] Time 0.746 (0.809) Data 0.002 (0.002) Loss 2.4205 (2.6010) Prec@1 40.625 (36.875) Prec@5 67.500 (67.570) Epoch: [20][6420/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.7336 (2.6011) Prec@1 35.625 (36.872) Prec@5 61.875 (67.566) Epoch: [20][6430/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.7851 (2.6011) Prec@1 33.750 (36.875) Prec@5 65.625 (67.567) Epoch: [20][6440/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.7092 (2.6012) Prec@1 36.250 (36.874) Prec@5 68.125 (67.567) Epoch: [20][6450/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.6309 (2.6011) Prec@1 39.375 (36.875) Prec@5 67.500 (67.568) Epoch: [20][6460/11272] Time 0.744 (0.809) Data 0.001 (0.002) Loss 2.2736 (2.6011) Prec@1 43.750 (36.875) Prec@5 73.125 (67.570) Epoch: [20][6470/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 2.5652 (2.6010) Prec@1 33.750 (36.875) Prec@5 68.125 (67.573) Epoch: [20][6480/11272] Time 0.723 (0.809) Data 0.003 (0.002) Loss 2.8173 (2.6012) Prec@1 32.500 (36.872) Prec@5 67.500 (67.570) Epoch: [20][6490/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.7002 (2.6013) Prec@1 35.000 (36.867) Prec@5 63.125 (67.567) Epoch: [20][6500/11272] Time 0.829 (0.809) Data 0.001 (0.002) Loss 2.7544 (2.6013) Prec@1 33.125 (36.867) Prec@5 65.625 (67.568) Epoch: [20][6510/11272] Time 0.924 (0.809) Data 0.002 (0.002) Loss 2.5058 (2.6013) Prec@1 41.250 (36.867) Prec@5 68.125 (67.567) Epoch: [20][6520/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.7625 (2.6014) Prec@1 40.625 (36.867) Prec@5 67.500 (67.565) Epoch: [20][6530/11272] Time 0.751 (0.809) Data 0.001 (0.002) Loss 2.6935 (2.6015) Prec@1 31.250 (36.865) Prec@5 68.125 (67.563) Epoch: [20][6540/11272] Time 0.917 (0.809) Data 0.002 (0.002) Loss 2.4849 (2.6015) Prec@1 45.625 (36.866) Prec@5 67.500 (67.562) Epoch: [20][6550/11272] Time 0.879 (0.809) Data 0.002 (0.002) Loss 2.6795 (2.6014) Prec@1 34.375 (36.868) Prec@5 68.125 (67.563) Epoch: [20][6560/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.5997 (2.6014) Prec@1 28.750 (36.868) Prec@5 68.750 (67.564) Epoch: [20][6570/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.7590 (2.6014) Prec@1 32.500 (36.868) Prec@5 64.375 (67.564) Epoch: [20][6580/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.4629 (2.6015) Prec@1 38.750 (36.869) Prec@5 73.750 (67.563) Epoch: [20][6590/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.6270 (2.6015) Prec@1 35.000 (36.869) Prec@5 70.000 (67.563) Epoch: [20][6600/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 2.7441 (2.6015) Prec@1 31.875 (36.868) Prec@5 66.250 (67.562) Epoch: [20][6610/11272] Time 0.895 (0.809) Data 0.001 (0.002) Loss 2.2660 (2.6014) Prec@1 43.125 (36.870) Prec@5 71.250 (67.564) Epoch: [20][6620/11272] Time 0.897 (0.809) Data 0.002 (0.002) Loss 2.6623 (2.6015) Prec@1 36.250 (36.869) Prec@5 61.250 (67.563) Epoch: [20][6630/11272] Time 0.719 (0.809) Data 0.001 (0.002) Loss 2.8495 (2.6015) Prec@1 31.875 (36.869) Prec@5 63.750 (67.563) Epoch: [20][6640/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.5946 (2.6015) Prec@1 33.125 (36.869) Prec@5 67.500 (67.562) Epoch: [20][6650/11272] Time 0.814 (0.809) Data 0.001 (0.002) Loss 2.4952 (2.6015) Prec@1 39.375 (36.868) Prec@5 69.375 (67.561) Epoch: [20][6660/11272] Time 0.827 (0.809) Data 0.002 (0.002) Loss 2.7235 (2.6015) Prec@1 34.375 (36.868) Prec@5 68.750 (67.563) Epoch: [20][6670/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 2.3503 (2.6016) Prec@1 41.250 (36.867) Prec@5 71.875 (67.560) Epoch: [20][6680/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.6074 (2.6015) Prec@1 36.875 (36.867) Prec@5 69.375 (67.564) Epoch: [20][6690/11272] Time 0.861 (0.809) Data 0.001 (0.002) Loss 2.3969 (2.6015) Prec@1 46.875 (36.869) Prec@5 72.500 (67.565) Epoch: [20][6700/11272] Time 0.917 (0.809) Data 0.002 (0.002) Loss 2.5788 (2.6015) Prec@1 36.250 (36.868) Prec@5 69.375 (67.563) Epoch: [20][6710/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.6399 (2.6015) Prec@1 32.500 (36.866) Prec@5 69.375 (67.561) Epoch: [20][6720/11272] Time 0.758 (0.809) Data 0.001 (0.002) Loss 2.3270 (2.6015) Prec@1 41.250 (36.868) Prec@5 72.500 (67.562) Epoch: [20][6730/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 2.8386 (2.6016) Prec@1 28.125 (36.867) Prec@5 62.500 (67.560) Epoch: [20][6740/11272] Time 0.739 (0.809) Data 0.003 (0.002) Loss 2.4438 (2.6016) Prec@1 40.000 (36.867) Prec@5 73.125 (67.561) Epoch: [20][6750/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.7331 (2.6017) Prec@1 33.125 (36.867) Prec@5 62.500 (67.560) Epoch: [20][6760/11272] Time 0.888 (0.809) Data 0.001 (0.002) Loss 2.8659 (2.6018) Prec@1 27.500 (36.863) Prec@5 67.500 (67.559) Epoch: [20][6770/11272] Time 0.926 (0.809) Data 0.002 (0.002) Loss 2.4626 (2.6018) Prec@1 39.375 (36.863) Prec@5 68.750 (67.559) Epoch: [20][6780/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.3117 (2.6017) Prec@1 43.750 (36.867) Prec@5 76.875 (67.561) Epoch: [20][6790/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.6226 (2.6017) Prec@1 38.125 (36.867) Prec@5 67.500 (67.562) Epoch: [20][6800/11272] Time 0.969 (0.809) Data 0.002 (0.002) Loss 2.3441 (2.6017) Prec@1 40.000 (36.867) Prec@5 73.125 (67.562) Epoch: [20][6810/11272] Time 0.891 (0.809) Data 0.002 (0.002) Loss 2.5125 (2.6017) Prec@1 40.625 (36.867) Prec@5 68.750 (67.561) Epoch: [20][6820/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.5686 (2.6018) Prec@1 33.750 (36.865) Prec@5 69.375 (67.557) Epoch: [20][6830/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.4635 (2.6017) Prec@1 38.125 (36.865) Prec@5 70.625 (67.560) Epoch: [20][6840/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.4981 (2.6017) Prec@1 40.625 (36.863) Prec@5 69.375 (67.558) Epoch: [20][6850/11272] Time 0.921 (0.809) Data 0.002 (0.002) Loss 2.5093 (2.6017) Prec@1 42.500 (36.865) Prec@5 68.750 (67.559) Epoch: [20][6860/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.6861 (2.6016) Prec@1 35.000 (36.865) Prec@5 63.750 (67.561) Epoch: [20][6870/11272] Time 0.857 (0.809) Data 0.001 (0.002) Loss 2.6631 (2.6017) Prec@1 38.125 (36.864) Prec@5 68.750 (67.558) Epoch: [20][6880/11272] Time 0.904 (0.809) Data 0.002 (0.002) Loss 2.9250 (2.6018) Prec@1 31.875 (36.862) Prec@5 60.625 (67.555) Epoch: [20][6890/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5973 (2.6018) Prec@1 38.750 (36.860) Prec@5 69.375 (67.555) Epoch: [20][6900/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.7710 (2.6017) Prec@1 31.250 (36.863) Prec@5 63.125 (67.558) Epoch: [20][6910/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.7146 (2.6017) Prec@1 32.500 (36.865) Prec@5 65.000 (67.558) Epoch: [20][6920/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.4718 (2.6017) Prec@1 42.500 (36.865) Prec@5 67.500 (67.557) Epoch: [20][6930/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.7075 (2.6018) Prec@1 38.125 (36.863) Prec@5 63.125 (67.555) Epoch: [20][6940/11272] Time 0.704 (0.809) Data 0.001 (0.002) Loss 2.5587 (2.6018) Prec@1 34.375 (36.862) Prec@5 70.000 (67.554) Epoch: [20][6950/11272] Time 0.883 (0.809) Data 0.001 (0.002) Loss 2.4218 (2.6017) Prec@1 41.875 (36.862) Prec@5 71.250 (67.556) Epoch: [20][6960/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.3527 (2.6017) Prec@1 34.375 (36.864) Prec@5 72.500 (67.558) Epoch: [20][6970/11272] Time 0.716 (0.809) Data 0.001 (0.002) Loss 2.5641 (2.6017) Prec@1 36.250 (36.863) Prec@5 68.750 (67.557) Epoch: [20][6980/11272] Time 0.780 (0.809) Data 0.002 (0.002) Loss 2.3740 (2.6018) Prec@1 39.375 (36.862) Prec@5 71.875 (67.557) Epoch: [20][6990/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.6231 (2.6017) Prec@1 33.125 (36.864) Prec@5 69.375 (67.558) Epoch: [20][7000/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 2.6528 (2.6018) Prec@1 39.375 (36.863) Prec@5 66.875 (67.558) Epoch: [20][7010/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.7256 (2.6018) Prec@1 30.625 (36.864) Prec@5 66.250 (67.557) Epoch: [20][7020/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.8081 (2.6018) Prec@1 31.250 (36.864) Prec@5 62.500 (67.557) Epoch: [20][7030/11272] Time 0.859 (0.809) Data 0.001 (0.002) Loss 2.6159 (2.6018) Prec@1 41.250 (36.866) Prec@5 68.750 (67.555) Epoch: [20][7040/11272] Time 0.720 (0.809) Data 0.001 (0.002) Loss 2.5983 (2.6018) Prec@1 34.375 (36.867) Prec@5 70.625 (67.556) Epoch: [20][7050/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.6544 (2.6018) Prec@1 35.625 (36.867) Prec@5 65.625 (67.558) Epoch: [20][7060/11272] Time 0.915 (0.809) Data 0.002 (0.002) Loss 2.4181 (2.6017) Prec@1 41.875 (36.868) Prec@5 67.500 (67.560) Epoch: [20][7070/11272] Time 0.918 (0.809) Data 0.002 (0.002) Loss 2.7458 (2.6018) Prec@1 33.125 (36.865) Prec@5 67.500 (67.559) Epoch: [20][7080/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.4004 (2.6019) Prec@1 44.375 (36.865) Prec@5 73.750 (67.556) Epoch: [20][7090/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.5295 (2.6019) Prec@1 39.375 (36.864) Prec@5 73.125 (67.556) Epoch: [20][7100/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.5294 (2.6020) Prec@1 47.500 (36.864) Prec@5 67.500 (67.555) Epoch: [20][7110/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.7663 (2.6019) Prec@1 35.000 (36.866) Prec@5 59.375 (67.555) Epoch: [20][7120/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.5826 (2.6019) Prec@1 33.125 (36.868) Prec@5 63.750 (67.557) Epoch: [20][7130/11272] Time 0.772 (0.809) Data 0.002 (0.002) Loss 2.5940 (2.6018) Prec@1 36.250 (36.869) Prec@5 71.875 (67.560) Epoch: [20][7140/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.6030 (2.6018) Prec@1 33.125 (36.870) Prec@5 71.250 (67.560) Epoch: [20][7150/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.5777 (2.6018) Prec@1 34.375 (36.872) Prec@5 67.500 (67.558) Epoch: [20][7160/11272] Time 0.783 (0.809) Data 0.002 (0.002) Loss 2.3537 (2.6018) Prec@1 39.375 (36.872) Prec@5 74.375 (67.558) Epoch: [20][7170/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 2.4090 (2.6018) Prec@1 42.500 (36.871) Prec@5 74.375 (67.557) Epoch: [20][7180/11272] Time 0.881 (0.809) Data 0.003 (0.002) Loss 2.7685 (2.6019) Prec@1 31.250 (36.869) Prec@5 61.250 (67.555) Epoch: [20][7190/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.6889 (2.6019) Prec@1 34.375 (36.867) Prec@5 68.125 (67.556) Epoch: [20][7200/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.6945 (2.6020) Prec@1 39.375 (36.865) Prec@5 65.000 (67.555) Epoch: [20][7210/11272] Time 0.837 (0.809) Data 0.002 (0.002) Loss 2.9033 (2.6021) Prec@1 29.375 (36.860) Prec@5 63.125 (67.553) Epoch: [20][7220/11272] Time 0.906 (0.809) Data 0.002 (0.002) Loss 2.9007 (2.6022) Prec@1 33.750 (36.859) Prec@5 67.500 (67.553) Epoch: [20][7230/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 2.6618 (2.6021) Prec@1 33.750 (36.858) Prec@5 69.375 (67.555) Epoch: [20][7240/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.8103 (2.6021) Prec@1 32.500 (36.860) Prec@5 62.500 (67.556) Epoch: [20][7250/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.5948 (2.6021) Prec@1 32.500 (36.859) Prec@5 68.125 (67.554) Epoch: [20][7260/11272] Time 0.815 (0.809) Data 0.001 (0.002) Loss 2.4745 (2.6021) Prec@1 38.125 (36.859) Prec@5 70.000 (67.553) Epoch: [20][7270/11272] Time 0.762 (0.809) Data 0.002 (0.002) Loss 2.6079 (2.6021) Prec@1 36.250 (36.856) Prec@5 70.000 (67.554) Epoch: [20][7280/11272] Time 0.896 (0.809) Data 0.001 (0.002) Loss 2.5355 (2.6021) Prec@1 34.375 (36.857) Prec@5 70.000 (67.556) Epoch: [20][7290/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.7351 (2.6020) Prec@1 35.625 (36.859) Prec@5 63.125 (67.557) Epoch: [20][7300/11272] Time 0.753 (0.809) Data 0.002 (0.002) Loss 2.6573 (2.6019) Prec@1 39.375 (36.860) Prec@5 66.875 (67.559) Epoch: [20][7310/11272] Time 0.716 (0.809) Data 0.001 (0.002) Loss 2.8354 (2.6020) Prec@1 34.375 (36.859) Prec@5 61.875 (67.558) Epoch: [20][7320/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.0865 (2.6019) Prec@1 46.250 (36.859) Prec@5 80.625 (67.559) Epoch: [20][7330/11272] Time 0.947 (0.809) Data 0.002 (0.002) Loss 2.6034 (2.6018) Prec@1 35.625 (36.862) Prec@5 64.375 (67.561) Epoch: [20][7340/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.4780 (2.6018) Prec@1 40.000 (36.862) Prec@5 70.625 (67.561) Epoch: [20][7350/11272] Time 0.829 (0.809) Data 0.002 (0.002) Loss 2.5401 (2.6018) Prec@1 36.875 (36.862) Prec@5 66.875 (67.561) Epoch: [20][7360/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.3001 (2.6018) Prec@1 41.250 (36.863) Prec@5 72.500 (67.559) Epoch: [20][7370/11272] Time 0.926 (0.809) Data 0.002 (0.002) Loss 2.6386 (2.6018) Prec@1 33.750 (36.864) Prec@5 65.625 (67.559) Epoch: [20][7380/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.7805 (2.6018) Prec@1 36.250 (36.867) Prec@5 63.125 (67.558) Epoch: [20][7390/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.4588 (2.6018) Prec@1 38.750 (36.866) Prec@5 70.625 (67.557) Epoch: [20][7400/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.4518 (2.6017) Prec@1 40.625 (36.869) Prec@5 68.750 (67.559) Epoch: [20][7410/11272] Time 0.753 (0.809) Data 0.003 (0.002) Loss 2.8943 (2.6018) Prec@1 33.125 (36.867) Prec@5 61.250 (67.556) Epoch: [20][7420/11272] Time 0.717 (0.809) Data 0.001 (0.002) Loss 2.6238 (2.6017) Prec@1 35.625 (36.871) Prec@5 66.250 (67.560) Epoch: [20][7430/11272] Time 0.889 (0.809) Data 0.001 (0.002) Loss 2.4339 (2.6018) Prec@1 39.375 (36.868) Prec@5 70.000 (67.557) Epoch: [20][7440/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.7557 (2.6017) Prec@1 36.250 (36.870) Prec@5 66.875 (67.559) Epoch: [20][7450/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.4622 (2.6017) Prec@1 36.250 (36.867) Prec@5 65.000 (67.557) Epoch: [20][7460/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5149 (2.6017) Prec@1 34.375 (36.866) Prec@5 69.375 (67.558) Epoch: [20][7470/11272] Time 0.861 (0.809) Data 0.001 (0.002) Loss 2.7725 (2.6018) Prec@1 35.000 (36.867) Prec@5 65.000 (67.557) Epoch: [20][7480/11272] Time 0.845 (0.809) Data 0.002 (0.002) Loss 2.6688 (2.6018) Prec@1 36.875 (36.867) Prec@5 67.500 (67.557) Epoch: [20][7490/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.7431 (2.6020) Prec@1 31.875 (36.865) Prec@5 62.500 (67.554) Epoch: [20][7500/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 2.5622 (2.6020) Prec@1 40.625 (36.866) Prec@5 66.875 (67.553) Epoch: [20][7510/11272] Time 0.907 (0.809) Data 0.002 (0.002) Loss 2.6644 (2.6020) Prec@1 36.250 (36.868) Prec@5 67.500 (67.551) Epoch: [20][7520/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.6621 (2.6020) Prec@1 34.375 (36.869) Prec@5 67.500 (67.550) Epoch: [20][7530/11272] Time 0.734 (0.809) Data 0.002 (0.002) Loss 2.8745 (2.6019) Prec@1 28.125 (36.870) Prec@5 63.125 (67.551) Epoch: [20][7540/11272] Time 0.844 (0.809) Data 0.001 (0.002) Loss 2.5873 (2.6019) Prec@1 41.875 (36.870) Prec@5 66.250 (67.551) Epoch: [20][7550/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.6782 (2.6018) Prec@1 36.875 (36.872) Prec@5 66.875 (67.553) Epoch: [20][7560/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.8148 (2.6018) Prec@1 31.250 (36.871) Prec@5 66.250 (67.554) Epoch: [20][7570/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.8006 (2.6018) Prec@1 32.500 (36.869) Prec@5 64.375 (67.553) Epoch: [20][7580/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.4535 (2.6017) Prec@1 41.250 (36.869) Prec@5 73.125 (67.556) Epoch: [20][7590/11272] Time 0.879 (0.809) Data 0.002 (0.002) Loss 2.4334 (2.6017) Prec@1 41.250 (36.870) Prec@5 70.625 (67.556) Epoch: [20][7600/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 2.9389 (2.6018) Prec@1 26.250 (36.869) Prec@5 63.750 (67.556) Epoch: [20][7610/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.7033 (2.6018) Prec@1 31.875 (36.867) Prec@5 63.750 (67.555) Epoch: [20][7620/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.3873 (2.6020) Prec@1 37.500 (36.863) Prec@5 73.750 (67.550) Epoch: [20][7630/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.5301 (2.6019) Prec@1 36.875 (36.862) Prec@5 67.500 (67.549) Epoch: [20][7640/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.8748 (2.6019) Prec@1 33.750 (36.863) Prec@5 61.250 (67.549) Epoch: [20][7650/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.5266 (2.6018) Prec@1 37.500 (36.864) Prec@5 67.500 (67.551) Epoch: [20][7660/11272] Time 0.881 (0.809) Data 0.002 (0.002) Loss 2.4539 (2.6019) Prec@1 45.000 (36.863) Prec@5 74.375 (67.552) Epoch: [20][7670/11272] Time 0.761 (0.809) Data 0.004 (0.002) Loss 2.6876 (2.6019) Prec@1 42.500 (36.866) Prec@5 65.625 (67.551) Epoch: [20][7680/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.3796 (2.6018) Prec@1 41.250 (36.868) Prec@5 73.125 (67.554) Epoch: [20][7690/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.8760 (2.6018) Prec@1 32.500 (36.869) Prec@5 58.125 (67.554) Epoch: [20][7700/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.4927 (2.6018) Prec@1 40.000 (36.868) Prec@5 68.750 (67.554) Epoch: [20][7710/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.3857 (2.6018) Prec@1 37.500 (36.868) Prec@5 72.500 (67.556) Epoch: [20][7720/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.4488 (2.6018) Prec@1 40.625 (36.869) Prec@5 67.500 (67.555) Epoch: [20][7730/11272] Time 0.836 (0.809) Data 0.002 (0.002) Loss 2.6279 (2.6018) Prec@1 38.125 (36.870) Prec@5 68.125 (67.556) Epoch: [20][7740/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.2340 (2.6018) Prec@1 44.375 (36.871) Prec@5 75.625 (67.557) Epoch: [20][7750/11272] Time 0.774 (0.809) Data 0.002 (0.002) Loss 2.8022 (2.6018) Prec@1 37.500 (36.868) Prec@5 65.000 (67.555) Epoch: [20][7760/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.6233 (2.6018) Prec@1 39.375 (36.868) Prec@5 65.625 (67.555) Epoch: [20][7770/11272] Time 0.881 (0.809) Data 0.001 (0.002) Loss 2.4358 (2.6018) Prec@1 38.125 (36.869) Prec@5 70.625 (67.556) Epoch: [20][7780/11272] Time 0.841 (0.809) Data 0.001 (0.002) Loss 2.7373 (2.6018) Prec@1 33.750 (36.868) Prec@5 66.875 (67.556) Epoch: [20][7790/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.4871 (2.6018) Prec@1 36.250 (36.868) Prec@5 71.875 (67.555) Epoch: [20][7800/11272] Time 0.822 (0.809) Data 0.002 (0.002) Loss 2.5650 (2.6018) Prec@1 41.875 (36.867) Prec@5 65.625 (67.554) Epoch: [20][7810/11272] Time 0.852 (0.809) Data 0.001 (0.002) Loss 2.8451 (2.6019) Prec@1 35.000 (36.867) Prec@5 60.000 (67.552) Epoch: [20][7820/11272] Time 0.725 (0.809) Data 0.002 (0.002) Loss 2.7184 (2.6020) Prec@1 34.375 (36.865) Prec@5 61.875 (67.550) Epoch: [20][7830/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.6618 (2.6021) Prec@1 36.250 (36.865) Prec@5 66.875 (67.549) Epoch: [20][7840/11272] Time 0.841 (0.809) Data 0.002 (0.002) Loss 2.8785 (2.6022) Prec@1 29.375 (36.860) Prec@5 65.625 (67.548) Epoch: [20][7850/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.7174 (2.6023) Prec@1 35.000 (36.858) Prec@5 63.750 (67.546) Epoch: [20][7860/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.4528 (2.6023) Prec@1 40.625 (36.858) Prec@5 72.500 (67.545) Epoch: [20][7870/11272] Time 0.742 (0.809) Data 0.001 (0.002) Loss 2.6507 (2.6023) Prec@1 39.375 (36.858) Prec@5 68.125 (67.544) Epoch: [20][7880/11272] Time 0.896 (0.809) Data 0.004 (0.002) Loss 2.6491 (2.6023) Prec@1 38.125 (36.858) Prec@5 66.250 (67.543) Epoch: [20][7890/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 2.5449 (2.6024) Prec@1 36.250 (36.857) Prec@5 65.000 (67.540) Epoch: [20][7900/11272] Time 0.721 (0.809) Data 0.001 (0.002) Loss 2.6388 (2.6024) Prec@1 30.625 (36.857) Prec@5 70.000 (67.541) Epoch: [20][7910/11272] Time 0.751 (0.809) Data 0.001 (0.002) Loss 2.7214 (2.6023) Prec@1 38.125 (36.862) Prec@5 65.625 (67.541) Epoch: [20][7920/11272] Time 0.956 (0.809) Data 0.002 (0.002) Loss 2.3733 (2.6024) Prec@1 42.500 (36.863) Prec@5 76.875 (67.541) Epoch: [20][7930/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.5427 (2.6023) Prec@1 36.250 (36.864) Prec@5 73.125 (67.542) Epoch: [20][7940/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.7598 (2.6024) Prec@1 26.875 (36.863) Prec@5 66.250 (67.542) Epoch: [20][7950/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.5943 (2.6024) Prec@1 35.625 (36.863) Prec@5 65.000 (67.542) Epoch: [20][7960/11272] Time 0.929 (0.809) Data 0.001 (0.002) Loss 2.7315 (2.6023) Prec@1 32.500 (36.863) Prec@5 64.375 (67.543) Epoch: [20][7970/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.6756 (2.6024) Prec@1 31.875 (36.862) Prec@5 67.500 (67.544) Epoch: [20][7980/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.6375 (2.6024) Prec@1 31.250 (36.860) Prec@5 67.500 (67.544) Epoch: [20][7990/11272] Time 0.844 (0.809) Data 0.002 (0.002) Loss 2.6807 (2.6024) Prec@1 35.000 (36.858) Prec@5 66.875 (67.542) Epoch: [20][8000/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.7584 (2.6024) Prec@1 39.375 (36.861) Prec@5 65.000 (67.542) Epoch: [20][8010/11272] Time 0.770 (0.809) Data 0.001 (0.002) Loss 2.7305 (2.6025) Prec@1 34.375 (36.859) Prec@5 67.500 (67.541) Epoch: [20][8020/11272] Time 0.709 (0.809) Data 0.001 (0.002) Loss 2.7256 (2.6024) Prec@1 32.500 (36.860) Prec@5 66.875 (67.542) Epoch: [20][8030/11272] Time 0.933 (0.809) Data 0.002 (0.002) Loss 2.8348 (2.6024) Prec@1 33.750 (36.861) Prec@5 63.125 (67.542) Epoch: [20][8040/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 2.4407 (2.6024) Prec@1 37.500 (36.860) Prec@5 72.500 (67.542) Epoch: [20][8050/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.3394 (2.6024) Prec@1 38.750 (36.861) Prec@5 70.000 (67.541) Epoch: [20][8060/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.2923 (2.6023) Prec@1 40.625 (36.861) Prec@5 73.750 (67.542) Epoch: [20][8070/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.6818 (2.6024) Prec@1 34.375 (36.859) Prec@5 67.500 (67.539) Epoch: [20][8080/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.4874 (2.6024) Prec@1 40.625 (36.856) Prec@5 68.125 (67.540) Epoch: [20][8090/11272] Time 0.750 (0.809) Data 0.002 (0.002) Loss 2.6008 (2.6024) Prec@1 39.375 (36.856) Prec@5 72.500 (67.540) Epoch: [20][8100/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.6138 (2.6025) Prec@1 38.750 (36.856) Prec@5 68.125 (67.540) Epoch: [20][8110/11272] Time 0.895 (0.809) Data 0.002 (0.002) Loss 2.6250 (2.6025) Prec@1 33.125 (36.856) Prec@5 66.875 (67.539) Epoch: [20][8120/11272] Time 0.724 (0.809) Data 0.002 (0.002) Loss 2.7685 (2.6024) Prec@1 33.125 (36.860) Prec@5 64.375 (67.541) Epoch: [20][8130/11272] Time 0.711 (0.809) Data 0.001 (0.002) Loss 2.6061 (2.6024) Prec@1 33.750 (36.860) Prec@5 66.875 (67.541) Epoch: [20][8140/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.4272 (2.6023) Prec@1 35.000 (36.861) Prec@5 70.625 (67.544) Epoch: [20][8150/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.3067 (2.6022) Prec@1 38.750 (36.862) Prec@5 75.000 (67.545) Epoch: [20][8160/11272] Time 0.742 (0.809) Data 0.001 (0.002) Loss 2.6508 (2.6021) Prec@1 37.500 (36.864) Prec@5 68.750 (67.547) Epoch: [20][8170/11272] Time 0.756 (0.809) Data 0.002 (0.002) Loss 2.6910 (2.6021) Prec@1 33.750 (36.866) Prec@5 68.750 (67.548) Epoch: [20][8180/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.4657 (2.6021) Prec@1 33.125 (36.863) Prec@5 71.875 (67.548) Epoch: [20][8190/11272] Time 0.932 (0.809) Data 0.002 (0.002) Loss 2.7059 (2.6021) Prec@1 38.125 (36.864) Prec@5 69.375 (67.548) Epoch: [20][8200/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.6872 (2.6021) Prec@1 33.125 (36.864) Prec@5 66.250 (67.549) Epoch: [20][8210/11272] Time 0.904 (0.809) Data 0.002 (0.002) Loss 2.5774 (2.6021) Prec@1 37.500 (36.863) Prec@5 69.375 (67.547) Epoch: [20][8220/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 2.6008 (2.6021) Prec@1 36.875 (36.862) Prec@5 64.375 (67.545) Epoch: [20][8230/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.9251 (2.6022) Prec@1 30.625 (36.859) Prec@5 54.375 (67.543) Epoch: [20][8240/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.9326 (2.6023) Prec@1 31.875 (36.858) Prec@5 64.375 (67.542) Epoch: [20][8250/11272] Time 0.897 (0.809) Data 0.002 (0.002) Loss 2.4830 (2.6023) Prec@1 40.000 (36.857) Prec@5 70.000 (67.543) Epoch: [20][8260/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.6589 (2.6023) Prec@1 36.250 (36.859) Prec@5 68.125 (67.543) Epoch: [20][8270/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.5642 (2.6022) Prec@1 34.375 (36.860) Prec@5 69.375 (67.545) Epoch: [20][8280/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.9938 (2.6022) Prec@1 31.875 (36.861) Prec@5 61.250 (67.546) Epoch: [20][8290/11272] Time 0.899 (0.810) Data 0.002 (0.002) Loss 2.6456 (2.6022) Prec@1 34.375 (36.859) Prec@5 65.000 (67.545) Epoch: [20][8300/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.6417 (2.6023) Prec@1 33.125 (36.857) Prec@5 69.375 (67.545) Epoch: [20][8310/11272] Time 0.735 (0.809) Data 0.002 (0.002) Loss 2.5180 (2.6023) Prec@1 37.500 (36.857) Prec@5 68.125 (67.544) Epoch: [20][8320/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.4072 (2.6023) Prec@1 44.375 (36.859) Prec@5 72.500 (67.546) Epoch: [20][8330/11272] Time 0.843 (0.809) Data 0.001 (0.002) Loss 2.3902 (2.6022) Prec@1 38.750 (36.859) Prec@5 71.250 (67.548) Epoch: [20][8340/11272] Time 0.778 (0.809) Data 0.006 (0.002) Loss 2.7714 (2.6023) Prec@1 31.250 (36.859) Prec@5 62.500 (67.547) Epoch: [20][8350/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.6179 (2.6022) Prec@1 33.750 (36.860) Prec@5 67.500 (67.547) Epoch: [20][8360/11272] Time 0.906 (0.809) Data 0.002 (0.002) Loss 2.5759 (2.6022) Prec@1 39.375 (36.860) Prec@5 70.000 (67.548) Epoch: [20][8370/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.6718 (2.6022) Prec@1 36.250 (36.860) Prec@5 65.625 (67.547) Epoch: [20][8380/11272] Time 0.768 (0.809) Data 0.002 (0.002) Loss 2.6492 (2.6023) Prec@1 34.375 (36.861) Prec@5 66.875 (67.546) Epoch: [20][8390/11272] Time 0.745 (0.809) Data 0.001 (0.002) Loss 2.4149 (2.6023) Prec@1 38.125 (36.861) Prec@5 73.125 (67.548) Epoch: [20][8400/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 2.6785 (2.6022) Prec@1 36.875 (36.863) Prec@5 68.750 (67.548) Epoch: [20][8410/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.3727 (2.6022) Prec@1 41.875 (36.863) Prec@5 72.500 (67.548) Epoch: [20][8420/11272] Time 0.762 (0.810) Data 0.002 (0.002) Loss 2.6130 (2.6022) Prec@1 36.875 (36.862) Prec@5 66.875 (67.550) Epoch: [20][8430/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.5183 (2.6022) Prec@1 36.250 (36.863) Prec@5 69.375 (67.549) Epoch: [20][8440/11272] Time 0.880 (0.809) Data 0.001 (0.002) Loss 2.5170 (2.6022) Prec@1 41.250 (36.861) Prec@5 66.875 (67.549) Epoch: [20][8450/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.8162 (2.6023) Prec@1 31.875 (36.860) Prec@5 62.500 (67.549) Epoch: [20][8460/11272] Time 0.737 (0.810) Data 0.002 (0.002) Loss 2.4361 (2.6022) Prec@1 41.875 (36.862) Prec@5 70.625 (67.550) Epoch: [20][8470/11272] Time 0.905 (0.810) Data 0.001 (0.002) Loss 2.4395 (2.6023) Prec@1 41.250 (36.863) Prec@5 68.750 (67.548) Epoch: [20][8480/11272] Time 0.903 (0.810) Data 0.002 (0.002) Loss 2.4602 (2.6022) Prec@1 34.375 (36.863) Prec@5 70.625 (67.549) Epoch: [20][8490/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.6633 (2.6022) Prec@1 37.500 (36.863) Prec@5 68.750 (67.551) Epoch: [20][8500/11272] Time 0.751 (0.810) Data 0.001 (0.002) Loss 2.5901 (2.6022) Prec@1 35.000 (36.862) Prec@5 68.750 (67.550) Epoch: [20][8510/11272] Time 0.871 (0.810) Data 0.002 (0.002) Loss 2.6532 (2.6023) Prec@1 38.750 (36.862) Prec@5 68.125 (67.551) Epoch: [20][8520/11272] Time 0.873 (0.810) Data 0.002 (0.002) Loss 2.4354 (2.6023) Prec@1 38.750 (36.861) Prec@5 70.625 (67.549) Epoch: [20][8530/11272] Time 0.766 (0.810) Data 0.002 (0.002) Loss 2.9782 (2.6024) Prec@1 35.625 (36.861) Prec@5 61.250 (67.547) Epoch: [20][8540/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.6602 (2.6023) Prec@1 33.750 (36.862) Prec@5 63.750 (67.548) Epoch: [20][8550/11272] Time 0.831 (0.810) Data 0.002 (0.002) Loss 2.3472 (2.6023) Prec@1 37.500 (36.862) Prec@5 74.375 (67.549) Epoch: [20][8560/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.5427 (2.6023) Prec@1 32.500 (36.860) Prec@5 68.750 (67.549) Epoch: [20][8570/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.4851 (2.6023) Prec@1 36.250 (36.860) Prec@5 70.000 (67.549) Epoch: [20][8580/11272] Time 0.739 (0.810) Data 0.002 (0.002) Loss 2.6192 (2.6023) Prec@1 40.000 (36.860) Prec@5 70.000 (67.550) Epoch: [20][8590/11272] Time 0.902 (0.810) Data 0.003 (0.002) Loss 2.6172 (2.6023) Prec@1 41.250 (36.860) Prec@5 65.625 (67.549) Epoch: [20][8600/11272] Time 0.787 (0.810) Data 0.003 (0.002) Loss 2.7749 (2.6024) Prec@1 29.375 (36.859) Prec@5 63.125 (67.549) Epoch: [20][8610/11272] Time 0.741 (0.810) Data 0.002 (0.002) Loss 2.4811 (2.6023) Prec@1 43.125 (36.861) Prec@5 68.750 (67.551) Epoch: [20][8620/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.4087 (2.6023) Prec@1 38.125 (36.862) Prec@5 70.625 (67.552) Epoch: [20][8630/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.1851 (2.6021) Prec@1 40.625 (36.866) Prec@5 75.625 (67.554) Epoch: [20][8640/11272] Time 0.741 (0.810) Data 0.002 (0.002) Loss 2.5304 (2.6021) Prec@1 36.250 (36.866) Prec@5 71.250 (67.554) Epoch: [20][8650/11272] Time 0.753 (0.810) Data 0.001 (0.002) Loss 2.7252 (2.6021) Prec@1 35.000 (36.865) Prec@5 62.500 (67.555) Epoch: [20][8660/11272] Time 0.864 (0.810) Data 0.002 (0.002) Loss 2.7876 (2.6021) Prec@1 37.500 (36.866) Prec@5 63.125 (67.554) Epoch: [20][8670/11272] Time 0.829 (0.810) Data 0.001 (0.002) Loss 2.6238 (2.6022) Prec@1 37.500 (36.864) Prec@5 66.250 (67.552) Epoch: [20][8680/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5333 (2.6022) Prec@1 40.625 (36.863) Prec@5 65.625 (67.551) Epoch: [20][8690/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.6522 (2.6022) Prec@1 31.250 (36.862) Prec@5 68.125 (67.553) Epoch: [20][8700/11272] Time 0.880 (0.810) Data 0.001 (0.002) Loss 2.6879 (2.6022) Prec@1 39.375 (36.861) Prec@5 63.125 (67.553) Epoch: [20][8710/11272] Time 0.912 (0.810) Data 0.002 (0.002) Loss 2.7451 (2.6022) Prec@1 30.625 (36.862) Prec@5 66.250 (67.554) Epoch: [20][8720/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.6237 (2.6023) Prec@1 44.375 (36.863) Prec@5 69.375 (67.553) Epoch: [20][8730/11272] Time 0.804 (0.810) Data 0.001 (0.002) Loss 2.7077 (2.6021) Prec@1 32.500 (36.865) Prec@5 63.750 (67.556) Epoch: [20][8740/11272] Time 0.941 (0.810) Data 0.003 (0.002) Loss 2.3702 (2.6022) Prec@1 43.750 (36.864) Prec@5 71.250 (67.554) Epoch: [20][8750/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5588 (2.6022) Prec@1 39.375 (36.866) Prec@5 63.750 (67.552) Epoch: [20][8760/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 2.6153 (2.6022) Prec@1 36.875 (36.865) Prec@5 66.250 (67.552) Epoch: [20][8770/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 2.7005 (2.6023) Prec@1 29.375 (36.863) Prec@5 67.500 (67.549) Epoch: [20][8780/11272] Time 0.941 (0.810) Data 0.002 (0.002) Loss 2.5539 (2.6023) Prec@1 36.875 (36.862) Prec@5 68.125 (67.548) Epoch: [20][8790/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.7410 (2.6023) Prec@1 31.875 (36.862) Prec@5 67.500 (67.548) Epoch: [20][8800/11272] Time 0.762 (0.810) Data 0.001 (0.002) Loss 2.6233 (2.6023) Prec@1 34.375 (36.862) Prec@5 67.500 (67.548) Epoch: [20][8810/11272] Time 0.854 (0.810) Data 0.002 (0.002) Loss 2.6269 (2.6023) Prec@1 31.250 (36.863) Prec@5 68.125 (67.549) Epoch: [20][8820/11272] Time 0.881 (0.810) Data 0.002 (0.002) Loss 2.6645 (2.6023) Prec@1 33.750 (36.865) Prec@5 69.375 (67.552) Epoch: [20][8830/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.5655 (2.6024) Prec@1 38.125 (36.864) Prec@5 70.000 (67.551) Epoch: [20][8840/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.4857 (2.6023) Prec@1 38.125 (36.866) Prec@5 70.625 (67.552) Epoch: [20][8850/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.5267 (2.6023) Prec@1 37.500 (36.866) Prec@5 73.125 (67.552) Epoch: [20][8860/11272] Time 0.886 (0.810) Data 0.002 (0.002) Loss 2.4892 (2.6022) Prec@1 41.250 (36.868) Prec@5 68.125 (67.554) Epoch: [20][8870/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.7228 (2.6021) Prec@1 38.750 (36.870) Prec@5 65.625 (67.556) Epoch: [20][8880/11272] Time 0.879 (0.810) Data 0.001 (0.002) Loss 2.3489 (2.6021) Prec@1 41.875 (36.870) Prec@5 70.000 (67.556) Epoch: [20][8890/11272] Time 0.886 (0.810) Data 0.002 (0.002) Loss 2.6919 (2.6021) Prec@1 35.625 (36.869) Prec@5 66.250 (67.556) Epoch: [20][8900/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 2.4169 (2.6022) Prec@1 40.000 (36.869) Prec@5 72.500 (67.557) Epoch: [20][8910/11272] Time 0.718 (0.810) Data 0.001 (0.002) Loss 2.6110 (2.6022) Prec@1 35.625 (36.870) Prec@5 65.625 (67.557) Epoch: [20][8920/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.3900 (2.6023) Prec@1 39.375 (36.867) Prec@5 69.375 (67.554) Epoch: [20][8930/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.7255 (2.6023) Prec@1 33.125 (36.868) Prec@5 64.375 (67.553) Epoch: [20][8940/11272] Time 0.720 (0.810) Data 0.001 (0.002) Loss 2.5778 (2.6021) Prec@1 35.000 (36.869) Prec@5 71.250 (67.555) Epoch: [20][8950/11272] Time 0.756 (0.810) Data 0.001 (0.002) Loss 2.7607 (2.6021) Prec@1 33.750 (36.869) Prec@5 61.875 (67.556) Epoch: [20][8960/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.4242 (2.6020) Prec@1 39.375 (36.871) Prec@5 75.000 (67.558) Epoch: [20][8970/11272] Time 0.866 (0.810) Data 0.001 (0.002) Loss 2.4449 (2.6020) Prec@1 37.500 (36.870) Prec@5 74.375 (67.559) Epoch: [20][8980/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.7980 (2.6020) Prec@1 33.750 (36.870) Prec@5 61.875 (67.557) Epoch: [20][8990/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 2.6157 (2.6020) Prec@1 40.625 (36.872) Prec@5 66.250 (67.559) Epoch: [20][9000/11272] Time 0.841 (0.810) Data 0.001 (0.002) Loss 2.5488 (2.6019) Prec@1 34.375 (36.873) Prec@5 66.250 (67.560) Epoch: [20][9010/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.5624 (2.6019) Prec@1 37.500 (36.873) Prec@5 71.250 (67.563) Epoch: [20][9020/11272] Time 0.745 (0.810) Data 0.001 (0.002) Loss 2.4504 (2.6018) Prec@1 38.750 (36.874) Prec@5 71.875 (67.563) Epoch: [20][9030/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 2.7919 (2.6018) Prec@1 30.000 (36.874) Prec@5 62.500 (67.562) Epoch: [20][9040/11272] Time 0.899 (0.810) Data 0.002 (0.002) Loss 2.6891 (2.6018) Prec@1 30.625 (36.874) Prec@5 67.500 (67.562) Epoch: [20][9050/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 2.4753 (2.6018) Prec@1 38.125 (36.875) Prec@5 72.500 (67.563) Epoch: [20][9060/11272] Time 0.736 (0.810) Data 0.001 (0.002) Loss 2.8476 (2.6018) Prec@1 33.125 (36.874) Prec@5 61.875 (67.563) Epoch: [20][9070/11272] Time 0.854 (0.810) Data 0.002 (0.002) Loss 2.7470 (2.6018) Prec@1 35.625 (36.873) Prec@5 64.375 (67.564) Epoch: [20][9080/11272] Time 0.901 (0.810) Data 0.002 (0.002) Loss 2.8613 (2.6019) Prec@1 33.750 (36.870) Prec@5 60.625 (67.560) Epoch: [20][9090/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.8338 (2.6019) Prec@1 32.500 (36.868) Prec@5 60.000 (67.559) Epoch: [20][9100/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 2.8955 (2.6019) Prec@1 33.125 (36.868) Prec@5 65.000 (67.560) Epoch: [20][9110/11272] Time 0.889 (0.810) Data 0.003 (0.002) Loss 2.6818 (2.6020) Prec@1 34.375 (36.867) Prec@5 65.625 (67.558) Epoch: [20][9120/11272] Time 0.889 (0.810) Data 0.002 (0.002) Loss 2.2590 (2.6020) Prec@1 41.875 (36.865) Prec@5 73.750 (67.558) Epoch: [20][9130/11272] Time 0.761 (0.810) Data 0.002 (0.002) Loss 2.3122 (2.6021) Prec@1 38.125 (36.864) Prec@5 70.000 (67.556) Epoch: [20][9140/11272] Time 0.937 (0.810) Data 0.002 (0.002) Loss 2.4878 (2.6022) Prec@1 40.625 (36.863) Prec@5 67.500 (67.554) Epoch: [20][9150/11272] Time 0.904 (0.810) Data 0.001 (0.002) Loss 2.6024 (2.6022) Prec@1 37.500 (36.861) Prec@5 70.000 (67.554) Epoch: [20][9160/11272] Time 0.780 (0.810) Data 0.002 (0.002) Loss 2.3962 (2.6022) Prec@1 40.000 (36.862) Prec@5 68.750 (67.555) Epoch: [20][9170/11272] Time 0.715 (0.810) Data 0.001 (0.002) Loss 2.6348 (2.6021) Prec@1 33.750 (36.863) Prec@5 69.375 (67.557) Epoch: [20][9180/11272] Time 0.884 (0.810) Data 0.002 (0.002) Loss 2.6337 (2.6022) Prec@1 36.250 (36.862) Prec@5 67.500 (67.556) Epoch: [20][9190/11272] Time 0.885 (0.810) Data 0.002 (0.002) Loss 2.7404 (2.6023) Prec@1 38.750 (36.862) Prec@5 66.250 (67.555) Epoch: [20][9200/11272] Time 0.736 (0.810) Data 0.001 (0.002) Loss 2.5257 (2.6023) Prec@1 40.000 (36.864) Prec@5 69.375 (67.557) Epoch: [20][9210/11272] Time 0.730 (0.810) Data 0.002 (0.002) Loss 2.7299 (2.6022) Prec@1 33.750 (36.863) Prec@5 68.125 (67.557) Epoch: [20][9220/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.6009 (2.6023) Prec@1 33.125 (36.863) Prec@5 65.625 (67.556) Epoch: [20][9230/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.8148 (2.6022) Prec@1 35.000 (36.863) Prec@5 63.750 (67.556) Epoch: [20][9240/11272] Time 0.706 (0.810) Data 0.001 (0.002) Loss 2.6608 (2.6022) Prec@1 34.375 (36.864) Prec@5 65.000 (67.556) Epoch: [20][9250/11272] Time 0.749 (0.810) Data 0.002 (0.002) Loss 2.6935 (2.6023) Prec@1 40.000 (36.862) Prec@5 64.375 (67.554) Epoch: [20][9260/11272] Time 0.908 (0.810) Data 0.002 (0.002) Loss 2.4523 (2.6023) Prec@1 36.250 (36.862) Prec@5 70.625 (67.557) Epoch: [20][9270/11272] Time 0.751 (0.810) Data 0.003 (0.002) Loss 2.9640 (2.6023) Prec@1 26.250 (36.862) Prec@5 61.875 (67.556) Epoch: [20][9280/11272] Time 0.718 (0.810) Data 0.001 (0.002) Loss 2.4745 (2.6024) Prec@1 41.875 (36.861) Prec@5 68.750 (67.553) Epoch: [20][9290/11272] Time 0.859 (0.810) Data 0.002 (0.002) Loss 2.6770 (2.6023) Prec@1 39.375 (36.863) Prec@5 63.750 (67.554) Epoch: [20][9300/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.4801 (2.6023) Prec@1 41.250 (36.864) Prec@5 68.125 (67.555) Epoch: [20][9310/11272] Time 0.718 (0.810) Data 0.001 (0.002) Loss 2.8987 (2.6024) Prec@1 31.875 (36.860) Prec@5 63.750 (67.553) Epoch: [20][9320/11272] Time 0.726 (0.810) Data 0.002 (0.002) Loss 2.5789 (2.6024) Prec@1 35.625 (36.859) Prec@5 70.625 (67.555) Epoch: [20][9330/11272] Time 0.898 (0.810) Data 0.002 (0.002) Loss 2.8034 (2.6025) Prec@1 33.125 (36.858) Prec@5 63.750 (67.555) Epoch: [20][9340/11272] Time 0.830 (0.810) Data 0.002 (0.002) Loss 2.6333 (2.6024) Prec@1 32.500 (36.858) Prec@5 67.500 (67.555) Epoch: [20][9350/11272] Time 0.710 (0.810) Data 0.001 (0.002) Loss 2.5517 (2.6024) Prec@1 38.750 (36.857) Prec@5 71.250 (67.555) Epoch: [20][9360/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.8546 (2.6025) Prec@1 28.750 (36.857) Prec@5 61.250 (67.554) Epoch: [20][9370/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 2.3829 (2.6025) Prec@1 40.625 (36.856) Prec@5 73.125 (67.553) Epoch: [20][9380/11272] Time 0.926 (0.810) Data 0.002 (0.002) Loss 2.4426 (2.6025) Prec@1 37.500 (36.856) Prec@5 71.875 (67.552) Epoch: [20][9390/11272] Time 0.770 (0.810) Data 0.002 (0.002) Loss 2.5902 (2.6027) Prec@1 35.000 (36.853) Prec@5 68.125 (67.548) Epoch: [20][9400/11272] Time 0.834 (0.810) Data 0.002 (0.002) Loss 2.7751 (2.6027) Prec@1 38.125 (36.853) Prec@5 62.500 (67.547) Epoch: [20][9410/11272] Time 0.942 (0.810) Data 0.002 (0.002) Loss 2.8944 (2.6028) Prec@1 26.250 (36.852) Prec@5 61.250 (67.545) Epoch: [20][9420/11272] Time 0.731 (0.810) Data 0.002 (0.002) Loss 2.8702 (2.6028) Prec@1 31.875 (36.852) Prec@5 61.250 (67.546) Epoch: [20][9430/11272] Time 0.735 (0.810) Data 0.001 (0.002) Loss 2.6466 (2.6028) Prec@1 40.000 (36.855) Prec@5 62.500 (67.545) Epoch: [20][9440/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.7421 (2.6028) Prec@1 29.375 (36.852) Prec@5 64.375 (67.544) Epoch: [20][9450/11272] Time 0.929 (0.810) Data 0.002 (0.002) Loss 2.5301 (2.6028) Prec@1 40.000 (36.853) Prec@5 67.500 (67.544) Epoch: [20][9460/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.4580 (2.6028) Prec@1 36.250 (36.852) Prec@5 70.000 (67.545) Epoch: [20][9470/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.6943 (2.6028) Prec@1 31.250 (36.852) Prec@5 63.125 (67.545) Epoch: [20][9480/11272] Time 0.874 (0.810) Data 0.002 (0.002) Loss 2.5099 (2.6028) Prec@1 38.125 (36.852) Prec@5 71.250 (67.544) Epoch: [20][9490/11272] Time 0.858 (0.810) Data 0.001 (0.002) Loss 2.3956 (2.6028) Prec@1 42.500 (36.851) Prec@5 69.375 (67.546) Epoch: [20][9500/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.9044 (2.6027) Prec@1 28.750 (36.851) Prec@5 63.125 (67.547) Epoch: [20][9510/11272] Time 0.739 (0.810) Data 0.002 (0.002) Loss 2.4972 (2.6028) Prec@1 38.125 (36.851) Prec@5 69.375 (67.544) Epoch: [20][9520/11272] Time 0.860 (0.810) Data 0.002 (0.002) Loss 2.5467 (2.6029) Prec@1 31.875 (36.848) Prec@5 73.125 (67.543) Epoch: [20][9530/11272] Time 0.758 (0.810) Data 0.003 (0.002) Loss 2.5481 (2.6029) Prec@1 38.750 (36.848) Prec@5 69.375 (67.543) Epoch: [20][9540/11272] Time 0.775 (0.810) Data 0.002 (0.002) Loss 2.8610 (2.6029) Prec@1 31.875 (36.846) Prec@5 60.625 (67.543) Epoch: [20][9550/11272] Time 0.994 (0.810) Data 0.002 (0.002) Loss 2.4849 (2.6029) Prec@1 43.125 (36.848) Prec@5 70.000 (67.544) Epoch: [20][9560/11272] Time 0.857 (0.810) Data 0.001 (0.002) Loss 2.5009 (2.6028) Prec@1 33.125 (36.849) Prec@5 70.625 (67.544) Epoch: [20][9570/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.7401 (2.6028) Prec@1 33.125 (36.849) Prec@5 63.125 (67.544) Epoch: [20][9580/11272] Time 0.756 (0.810) Data 0.002 (0.002) Loss 2.5318 (2.6028) Prec@1 35.000 (36.848) Prec@5 70.000 (67.546) Epoch: [20][9590/11272] Time 0.866 (0.810) Data 0.002 (0.002) Loss 2.3190 (2.6027) Prec@1 43.125 (36.849) Prec@5 72.500 (67.548) Epoch: [20][9600/11272] Time 0.883 (0.810) Data 0.002 (0.002) Loss 2.7690 (2.6028) Prec@1 28.750 (36.849) Prec@5 64.375 (67.546) Epoch: [20][9610/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5288 (2.6027) Prec@1 38.125 (36.851) Prec@5 70.625 (67.547) Epoch: [20][9620/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.4204 (2.6026) Prec@1 43.750 (36.854) Prec@5 71.250 (67.549) Epoch: [20][9630/11272] Time 0.908 (0.810) Data 0.002 (0.002) Loss 2.5736 (2.6026) Prec@1 38.750 (36.852) Prec@5 68.750 (67.550) Epoch: [20][9640/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.5701 (2.6027) Prec@1 40.000 (36.852) Prec@5 65.000 (67.547) Epoch: [20][9650/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.6717 (2.6027) Prec@1 31.875 (36.852) Prec@5 65.000 (67.546) Epoch: [20][9660/11272] Time 0.841 (0.810) Data 0.002 (0.002) Loss 2.5915 (2.6026) Prec@1 40.625 (36.852) Prec@5 64.375 (67.547) Epoch: [20][9670/11272] Time 0.856 (0.810) Data 0.002 (0.002) Loss 2.6490 (2.6027) Prec@1 36.875 (36.850) Prec@5 65.625 (67.547) Epoch: [20][9680/11272] Time 0.750 (0.810) Data 0.002 (0.002) Loss 2.8144 (2.6027) Prec@1 30.625 (36.850) Prec@5 62.500 (67.546) Epoch: [20][9690/11272] Time 0.756 (0.810) Data 0.001 (0.002) Loss 2.4986 (2.6028) Prec@1 36.250 (36.850) Prec@5 71.875 (67.546) Epoch: [20][9700/11272] Time 0.877 (0.810) Data 0.002 (0.002) Loss 2.6503 (2.6027) Prec@1 36.875 (36.852) Prec@5 66.250 (67.547) Epoch: [20][9710/11272] Time 0.856 (0.810) Data 0.001 (0.002) Loss 2.4685 (2.6027) Prec@1 41.250 (36.853) Prec@5 66.250 (67.547) Epoch: [20][9720/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.6646 (2.6027) Prec@1 36.250 (36.852) Prec@5 63.125 (67.547) Epoch: [20][9730/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.8117 (2.6026) Prec@1 30.000 (36.851) Prec@5 65.625 (67.550) Epoch: [20][9740/11272] Time 0.868 (0.810) Data 0.001 (0.002) Loss 2.5899 (2.6026) Prec@1 35.000 (36.851) Prec@5 69.375 (67.550) Epoch: [20][9750/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.6681 (2.6026) Prec@1 35.625 (36.851) Prec@5 70.000 (67.553) Epoch: [20][9760/11272] Time 0.728 (0.810) Data 0.002 (0.002) Loss 2.2144 (2.6025) Prec@1 47.500 (36.854) Prec@5 73.750 (67.554) Epoch: [20][9770/11272] Time 0.765 (0.810) Data 0.002 (0.002) Loss 2.5467 (2.6024) Prec@1 36.250 (36.854) Prec@5 69.375 (67.556) Epoch: [20][9780/11272] Time 0.854 (0.810) Data 0.002 (0.002) Loss 2.7309 (2.6026) Prec@1 29.375 (36.851) Prec@5 66.250 (67.555) Epoch: [20][9790/11272] Time 0.904 (0.810) Data 0.002 (0.002) Loss 2.2170 (2.6025) Prec@1 42.500 (36.852) Prec@5 76.250 (67.555) Epoch: [20][9800/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.5066 (2.6025) Prec@1 41.875 (36.853) Prec@5 69.375 (67.556) Epoch: [20][9810/11272] Time 0.944 (0.810) Data 0.002 (0.002) Loss 2.6483 (2.6025) Prec@1 40.000 (36.853) Prec@5 66.250 (67.555) Epoch: [20][9820/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.7377 (2.6026) Prec@1 28.125 (36.851) Prec@5 65.625 (67.553) Epoch: [20][9830/11272] Time 0.752 (0.810) Data 0.001 (0.002) Loss 2.6697 (2.6025) Prec@1 34.375 (36.853) Prec@5 68.125 (67.554) Epoch: [20][9840/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.5138 (2.6025) Prec@1 38.750 (36.852) Prec@5 70.000 (67.556) Epoch: [20][9850/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.3354 (2.6024) Prec@1 42.500 (36.854) Prec@5 71.875 (67.557) Epoch: [20][9860/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.8817 (2.6025) Prec@1 27.500 (36.853) Prec@5 63.750 (67.556) Epoch: [20][9870/11272] Time 0.734 (0.810) Data 0.002 (0.002) Loss 2.7660 (2.6026) Prec@1 34.375 (36.851) Prec@5 65.000 (67.553) Epoch: [20][9880/11272] Time 0.829 (0.810) Data 0.002 (0.002) Loss 2.6772 (2.6027) Prec@1 36.875 (36.851) Prec@5 68.750 (67.552) Epoch: [20][9890/11272] Time 1.007 (0.810) Data 0.002 (0.002) Loss 2.6570 (2.6027) Prec@1 35.625 (36.851) Prec@5 65.625 (67.552) Epoch: [20][9900/11272] Time 0.894 (0.810) Data 0.001 (0.002) Loss 2.6163 (2.6027) Prec@1 35.000 (36.850) Prec@5 62.500 (67.554) Epoch: [20][9910/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.5233 (2.6028) Prec@1 35.000 (36.848) Prec@5 70.000 (67.553) Epoch: [20][9920/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.4396 (2.6027) Prec@1 44.375 (36.849) Prec@5 71.250 (67.552) Epoch: [20][9930/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 2.5735 (2.6027) Prec@1 39.375 (36.851) Prec@5 67.500 (67.551) Epoch: [20][9940/11272] Time 0.750 (0.810) Data 0.002 (0.002) Loss 2.8272 (2.6028) Prec@1 32.500 (36.850) Prec@5 63.750 (67.548) Epoch: [20][9950/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.4068 (2.6028) Prec@1 43.125 (36.849) Prec@5 65.625 (67.547) Epoch: [20][9960/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.4772 (2.6027) Prec@1 38.750 (36.851) Prec@5 68.750 (67.548) Epoch: [20][9970/11272] Time 0.884 (0.810) Data 0.002 (0.002) Loss 2.4481 (2.6027) Prec@1 35.000 (36.850) Prec@5 71.875 (67.548) Epoch: [20][9980/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.5382 (2.6027) Prec@1 40.000 (36.852) Prec@5 66.875 (67.548) Epoch: [20][9990/11272] Time 0.729 (0.810) Data 0.002 (0.002) Loss 2.4896 (2.6027) Prec@1 39.375 (36.853) Prec@5 73.125 (67.549) Epoch: [20][10000/11272] Time 0.874 (0.810) Data 0.001 (0.002) Loss 2.8107 (2.6027) Prec@1 31.250 (36.855) Prec@5 60.625 (67.549) Epoch: [20][10010/11272] Time 0.868 (0.810) Data 0.002 (0.002) Loss 2.5464 (2.6027) Prec@1 36.875 (36.855) Prec@5 67.500 (67.550) Epoch: [20][10020/11272] Time 0.730 (0.810) Data 0.002 (0.002) Loss 2.8830 (2.6027) Prec@1 28.750 (36.854) Prec@5 65.625 (67.549) Epoch: [20][10030/11272] Time 0.765 (0.810) Data 0.002 (0.002) Loss 2.6885 (2.6027) Prec@1 32.500 (36.854) Prec@5 66.875 (67.550) Epoch: [20][10040/11272] Time 0.905 (0.810) Data 0.002 (0.002) Loss 2.5751 (2.6027) Prec@1 36.875 (36.855) Prec@5 65.625 (67.551) Epoch: [20][10050/11272] Time 0.886 (0.810) Data 0.002 (0.002) Loss 2.4939 (2.6026) Prec@1 43.750 (36.857) Prec@5 66.250 (67.551) Epoch: [20][10060/11272] Time 0.772 (0.810) Data 0.001 (0.002) Loss 2.6853 (2.6026) Prec@1 36.250 (36.858) Prec@5 66.875 (67.551) Epoch: [20][10070/11272] Time 0.823 (0.810) Data 0.001 (0.002) Loss 2.6363 (2.6026) Prec@1 37.500 (36.859) Prec@5 66.250 (67.552) Epoch: [20][10080/11272] Time 0.954 (0.810) Data 0.002 (0.002) Loss 2.3343 (2.6026) Prec@1 42.500 (36.859) Prec@5 72.500 (67.551) Epoch: [20][10090/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.4758 (2.6026) Prec@1 41.875 (36.859) Prec@5 66.875 (67.549) Epoch: [20][10100/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.5750 (2.6026) Prec@1 37.500 (36.860) Prec@5 68.750 (67.550) Epoch: [20][10110/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 3.0473 (2.6027) Prec@1 29.375 (36.860) Prec@5 61.250 (67.550) Epoch: [20][10120/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.7286 (2.6026) Prec@1 34.375 (36.860) Prec@5 66.875 (67.550) Epoch: [20][10130/11272] Time 0.763 (0.810) Data 0.002 (0.002) Loss 2.7293 (2.6026) Prec@1 39.375 (36.861) Prec@5 64.375 (67.550) Epoch: [20][10140/11272] Time 0.727 (0.810) Data 0.002 (0.002) Loss 2.6674 (2.6026) Prec@1 35.000 (36.862) Prec@5 63.125 (67.550) Epoch: [20][10150/11272] Time 0.848 (0.810) Data 0.002 (0.002) Loss 2.6028 (2.6027) Prec@1 35.625 (36.859) Prec@5 69.375 (67.548) Epoch: [20][10160/11272] Time 1.024 (0.810) Data 0.002 (0.002) Loss 2.6885 (2.6027) Prec@1 32.500 (36.859) Prec@5 63.750 (67.548) Epoch: [20][10170/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.2396 (2.6027) Prec@1 43.125 (36.861) Prec@5 74.375 (67.548) Epoch: [20][10180/11272] Time 0.734 (0.810) Data 0.002 (0.002) Loss 2.8160 (2.6027) Prec@1 36.875 (36.862) Prec@5 61.875 (67.548) Epoch: [20][10190/11272] Time 0.902 (0.810) Data 0.002 (0.002) Loss 2.8028 (2.6027) Prec@1 36.250 (36.862) Prec@5 63.750 (67.548) Epoch: [20][10200/11272] Time 0.766 (0.810) Data 0.003 (0.002) Loss 2.7336 (2.6027) Prec@1 33.750 (36.861) Prec@5 68.125 (67.548) Epoch: [20][10210/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.8231 (2.6028) Prec@1 31.875 (36.860) Prec@5 62.500 (67.547) Epoch: [20][10220/11272] Time 0.834 (0.810) Data 0.002 (0.002) Loss 2.3383 (2.6028) Prec@1 43.125 (36.861) Prec@5 74.375 (67.547) Epoch: [20][10230/11272] Time 0.931 (0.810) Data 0.002 (0.002) Loss 2.4111 (2.6028) Prec@1 38.125 (36.859) Prec@5 73.750 (67.547) Epoch: [20][10240/11272] Time 0.748 (0.810) Data 0.001 (0.002) Loss 2.5825 (2.6028) Prec@1 37.500 (36.860) Prec@5 66.875 (67.546) Epoch: [20][10250/11272] Time 0.717 (0.810) Data 0.001 (0.002) Loss 2.5810 (2.6029) Prec@1 37.500 (36.860) Prec@5 68.750 (67.545) Epoch: [20][10260/11272] Time 0.868 (0.810) Data 0.002 (0.002) Loss 2.6159 (2.6028) Prec@1 35.625 (36.861) Prec@5 65.000 (67.546) Epoch: [20][10270/11272] Time 0.935 (0.810) Data 0.002 (0.002) Loss 2.4759 (2.6029) Prec@1 37.500 (36.860) Prec@5 71.875 (67.546) Epoch: [20][10280/11272] Time 0.728 (0.810) Data 0.002 (0.002) Loss 2.5687 (2.6028) Prec@1 35.000 (36.860) Prec@5 71.250 (67.547) Epoch: [20][10290/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5936 (2.6029) Prec@1 35.625 (36.860) Prec@5 69.375 (67.545) Epoch: [20][10300/11272] Time 0.852 (0.810) Data 0.001 (0.002) Loss 2.5226 (2.6029) Prec@1 41.250 (36.860) Prec@5 69.375 (67.545) Epoch: [20][10310/11272] Time 0.814 (0.810) Data 0.001 (0.002) Loss 2.3352 (2.6029) Prec@1 43.125 (36.859) Prec@5 75.000 (67.545) Epoch: [20][10320/11272] Time 0.741 (0.810) Data 0.002 (0.002) Loss 2.6009 (2.6029) Prec@1 35.000 (36.857) Prec@5 68.125 (67.544) Epoch: [20][10330/11272] Time 0.905 (0.810) Data 0.001 (0.002) Loss 2.5511 (2.6030) Prec@1 36.250 (36.856) Prec@5 67.500 (67.544) Epoch: [20][10340/11272] Time 0.904 (0.810) Data 0.002 (0.002) Loss 2.6246 (2.6030) Prec@1 35.000 (36.856) Prec@5 66.875 (67.545) Epoch: [20][10350/11272] Time 0.810 (0.810) Data 0.002 (0.002) Loss 2.7101 (2.6030) Prec@1 33.125 (36.856) Prec@5 67.500 (67.544) Epoch: [20][10360/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.6862 (2.6030) Prec@1 36.250 (36.855) Prec@5 66.250 (67.542) Epoch: [20][10370/11272] Time 0.917 (0.810) Data 0.001 (0.002) Loss 2.5831 (2.6030) Prec@1 39.375 (36.857) Prec@5 66.875 (67.543) Epoch: [20][10380/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 2.7033 (2.6029) Prec@1 30.625 (36.859) Prec@5 62.500 (67.544) Epoch: [20][10390/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.6277 (2.6029) Prec@1 41.250 (36.859) Prec@5 66.250 (67.544) Epoch: [20][10400/11272] Time 0.747 (0.810) Data 0.001 (0.002) Loss 2.7168 (2.6029) Prec@1 38.125 (36.859) Prec@5 60.000 (67.544) Epoch: [20][10410/11272] Time 0.856 (0.810) Data 0.002 (0.002) Loss 2.6236 (2.6030) Prec@1 38.125 (36.859) Prec@5 67.500 (67.542) Epoch: [20][10420/11272] Time 0.893 (0.810) Data 0.002 (0.002) Loss 2.7814 (2.6030) Prec@1 33.125 (36.857) Prec@5 63.125 (67.541) Epoch: [20][10430/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.5438 (2.6031) Prec@1 35.625 (36.856) Prec@5 68.750 (67.540) Epoch: [20][10440/11272] Time 0.748 (0.810) Data 0.002 (0.002) Loss 2.6659 (2.6031) Prec@1 34.375 (36.855) Prec@5 66.875 (67.542) Epoch: [20][10450/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.5879 (2.6030) Prec@1 33.125 (36.855) Prec@5 68.125 (67.543) Epoch: [20][10460/11272] Time 0.763 (0.810) Data 0.003 (0.002) Loss 2.4126 (2.6030) Prec@1 42.500 (36.854) Prec@5 73.125 (67.542) Epoch: [20][10470/11272] Time 0.732 (0.810) Data 0.002 (0.002) Loss 2.4440 (2.6031) Prec@1 36.250 (36.853) Prec@5 69.375 (67.541) Epoch: [20][10480/11272] Time 0.864 (0.810) Data 0.001 (0.002) Loss 2.6233 (2.6031) Prec@1 33.750 (36.852) Prec@5 68.750 (67.540) Epoch: [20][10490/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 2.3727 (2.6032) Prec@1 43.125 (36.851) Prec@5 71.250 (67.538) Epoch: [20][10500/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.6231 (2.6031) Prec@1 36.875 (36.851) Prec@5 66.875 (67.539) Epoch: [20][10510/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.7745 (2.6032) Prec@1 36.250 (36.848) Prec@5 63.750 (67.537) Epoch: [20][10520/11272] Time 0.868 (0.810) Data 0.001 (0.002) Loss 2.9028 (2.6033) Prec@1 30.000 (36.847) Prec@5 56.875 (67.535) Epoch: [20][10530/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.4442 (2.6033) Prec@1 36.250 (36.847) Prec@5 73.125 (67.534) Epoch: [20][10540/11272] Time 0.727 (0.810) Data 0.002 (0.002) Loss 2.8472 (2.6034) Prec@1 31.250 (36.845) Prec@5 65.625 (67.534) Epoch: [20][10550/11272] Time 0.735 (0.810) Data 0.001 (0.002) Loss 2.5764 (2.6035) Prec@1 40.625 (36.844) Prec@5 68.125 (67.533) Epoch: [20][10560/11272] Time 0.913 (0.810) Data 0.002 (0.002) Loss 2.6020 (2.6035) Prec@1 31.875 (36.844) Prec@5 68.750 (67.533) Epoch: [20][10570/11272] Time 0.859 (0.810) Data 0.002 (0.002) Loss 2.8122 (2.6035) Prec@1 29.375 (36.842) Prec@5 66.875 (67.533) Epoch: [20][10580/11272] Time 0.731 (0.810) Data 0.002 (0.002) Loss 2.6436 (2.6036) Prec@1 38.750 (36.842) Prec@5 64.375 (67.531) Epoch: [20][10590/11272] Time 0.885 (0.810) Data 0.002 (0.002) Loss 2.6041 (2.6036) Prec@1 33.750 (36.841) Prec@5 71.875 (67.530) Epoch: [20][10600/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 2.6718 (2.6036) Prec@1 40.625 (36.841) Prec@5 65.625 (67.530) Epoch: [20][10610/11272] Time 0.764 (0.810) Data 0.002 (0.002) Loss 2.6663 (2.6035) Prec@1 37.500 (36.842) Prec@5 65.000 (67.531) Epoch: [20][10620/11272] Time 0.736 (0.810) Data 0.001 (0.002) Loss 2.3796 (2.6035) Prec@1 41.875 (36.843) Prec@5 71.250 (67.529) Epoch: [20][10630/11272] Time 0.892 (0.810) Data 0.002 (0.002) Loss 2.5691 (2.6035) Prec@1 39.375 (36.843) Prec@5 66.250 (67.531) Epoch: [20][10640/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.4291 (2.6035) Prec@1 40.000 (36.844) Prec@5 69.375 (67.530) Epoch: [20][10650/11272] Time 0.743 (0.810) Data 0.002 (0.002) Loss 2.4028 (2.6034) Prec@1 38.750 (36.844) Prec@5 73.750 (67.531) Epoch: [20][10660/11272] Time 0.720 (0.810) Data 0.001 (0.002) Loss 2.5644 (2.6034) Prec@1 38.125 (36.844) Prec@5 68.125 (67.531) Epoch: [20][10670/11272] Time 0.883 (0.810) Data 0.001 (0.002) Loss 2.4593 (2.6034) Prec@1 38.125 (36.845) Prec@5 67.500 (67.532) Epoch: [20][10680/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.7124 (2.6034) Prec@1 35.000 (36.846) Prec@5 63.125 (67.532) Epoch: [20][10690/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.7577 (2.6034) Prec@1 36.875 (36.845) Prec@5 68.125 (67.532) Epoch: [20][10700/11272] Time 0.736 (0.810) Data 0.001 (0.002) Loss 2.6216 (2.6035) Prec@1 36.875 (36.844) Prec@5 70.000 (67.532) Epoch: [20][10710/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.5454 (2.6035) Prec@1 35.625 (36.844) Prec@5 68.125 (67.533) Epoch: [20][10720/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.6071 (2.6035) Prec@1 42.500 (36.841) Prec@5 65.625 (67.531) Epoch: [20][10730/11272] Time 0.754 (0.810) Data 0.001 (0.002) Loss 2.7259 (2.6035) Prec@1 28.750 (36.841) Prec@5 65.000 (67.531) Epoch: [20][10740/11272] Time 0.877 (0.810) Data 0.002 (0.002) Loss 2.6266 (2.6036) Prec@1 35.625 (36.840) Prec@5 71.250 (67.529) Epoch: [20][10750/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 2.5447 (2.6035) Prec@1 39.375 (36.838) Prec@5 68.125 (67.529) Epoch: [20][10760/11272] Time 0.723 (0.810) Data 0.001 (0.002) Loss 2.6604 (2.6035) Prec@1 38.750 (36.839) Prec@5 67.500 (67.530) Epoch: [20][10770/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.5623 (2.6035) Prec@1 35.000 (36.841) Prec@5 65.625 (67.532) Epoch: [20][10780/11272] Time 0.920 (0.810) Data 0.002 (0.002) Loss 2.7887 (2.6035) Prec@1 34.375 (36.842) Prec@5 61.875 (67.531) Epoch: [20][10790/11272] Time 0.911 (0.810) Data 0.002 (0.002) Loss 2.7412 (2.6035) Prec@1 36.250 (36.843) Prec@5 66.250 (67.531) Epoch: [20][10800/11272] Time 0.723 (0.810) Data 0.001 (0.002) Loss 2.5221 (2.6035) Prec@1 40.000 (36.842) Prec@5 69.375 (67.531) Epoch: [20][10810/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.5882 (2.6035) Prec@1 36.875 (36.844) Prec@5 70.000 (67.531) Epoch: [20][10820/11272] Time 0.939 (0.810) Data 0.002 (0.002) Loss 2.4409 (2.6035) Prec@1 43.750 (36.845) Prec@5 73.750 (67.531) Epoch: [20][10830/11272] Time 0.922 (0.810) Data 0.002 (0.002) Loss 2.5806 (2.6035) Prec@1 35.000 (36.845) Prec@5 71.250 (67.532) Epoch: [20][10840/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.3668 (2.6034) Prec@1 40.000 (36.847) Prec@5 73.125 (67.533) Epoch: [20][10850/11272] Time 0.713 (0.810) Data 0.001 (0.002) Loss 2.4504 (2.6034) Prec@1 38.750 (36.848) Prec@5 68.750 (67.532) Epoch: [20][10860/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 2.5919 (2.6033) Prec@1 37.500 (36.846) Prec@5 68.125 (67.532) Epoch: [20][10870/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.5031 (2.6034) Prec@1 38.750 (36.844) Prec@5 70.625 (67.531) Epoch: [20][10880/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.8192 (2.6034) Prec@1 30.625 (36.843) Prec@5 64.375 (67.531) Epoch: [20][10890/11272] Time 0.853 (0.810) Data 0.001 (0.002) Loss 2.6481 (2.6034) Prec@1 37.500 (36.842) Prec@5 68.750 (67.532) Epoch: [20][10900/11272] Time 0.874 (0.810) Data 0.002 (0.002) Loss 2.4572 (2.6034) Prec@1 35.000 (36.841) Prec@5 73.750 (67.532) Epoch: [20][10910/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.6565 (2.6033) Prec@1 33.750 (36.841) Prec@5 73.125 (67.533) Epoch: [20][10920/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.6545 (2.6032) Prec@1 34.375 (36.843) Prec@5 66.250 (67.534) Epoch: [20][10930/11272] Time 0.868 (0.810) Data 0.002 (0.002) Loss 2.6943 (2.6033) Prec@1 36.250 (36.842) Prec@5 61.250 (67.534) Epoch: [20][10940/11272] Time 0.852 (0.810) Data 0.002 (0.002) Loss 2.6781 (2.6033) Prec@1 41.875 (36.841) Prec@5 66.875 (67.533) Epoch: [20][10950/11272] Time 0.721 (0.810) Data 0.000 (0.002) Loss 2.7224 (2.6033) Prec@1 37.500 (36.843) Prec@5 68.125 (67.535) Epoch: [20][10960/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.6494 (2.6033) Prec@1 31.875 (36.841) Prec@5 66.250 (67.535) Epoch: [20][10970/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.6480 (2.6033) Prec@1 36.250 (36.842) Prec@5 65.625 (67.536) Epoch: [20][10980/11272] Time 0.860 (0.810) Data 0.001 (0.002) Loss 2.4489 (2.6033) Prec@1 37.500 (36.843) Prec@5 70.625 (67.538) Epoch: [20][10990/11272] Time 0.769 (0.810) Data 0.002 (0.002) Loss 2.7123 (2.6033) Prec@1 33.750 (36.844) Prec@5 68.125 (67.538) Epoch: [20][11000/11272] Time 0.855 (0.810) Data 0.002 (0.002) Loss 2.4039 (2.6033) Prec@1 38.750 (36.845) Prec@5 68.750 (67.537) Epoch: [20][11010/11272] Time 0.878 (0.810) Data 0.002 (0.002) Loss 2.6463 (2.6033) Prec@1 32.500 (36.843) Prec@5 63.750 (67.538) Epoch: [20][11020/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.5914 (2.6034) Prec@1 37.500 (36.841) Prec@5 66.250 (67.536) Epoch: [20][11030/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.7578 (2.6035) Prec@1 32.500 (36.840) Prec@5 64.375 (67.535) Epoch: [20][11040/11272] Time 0.900 (0.810) Data 0.002 (0.002) Loss 2.5709 (2.6035) Prec@1 35.625 (36.840) Prec@5 68.750 (67.535) Epoch: [20][11050/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.6481 (2.6035) Prec@1 31.875 (36.839) Prec@5 66.250 (67.535) Epoch: [20][11060/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.8405 (2.6034) Prec@1 32.500 (36.840) Prec@5 58.750 (67.535) Epoch: [20][11070/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.6135 (2.6035) Prec@1 33.750 (36.836) Prec@5 68.750 (67.534) Epoch: [20][11080/11272] Time 0.852 (0.810) Data 0.002 (0.002) Loss 2.6425 (2.6036) Prec@1 32.500 (36.835) Prec@5 68.125 (67.533) Epoch: [20][11090/11272] Time 0.935 (0.810) Data 0.002 (0.002) Loss 2.7084 (2.6036) Prec@1 38.125 (36.834) Prec@5 63.750 (67.531) Epoch: [20][11100/11272] Time 0.762 (0.810) Data 0.002 (0.002) Loss 2.3944 (2.6036) Prec@1 43.125 (36.835) Prec@5 72.500 (67.533) Epoch: [20][11110/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 2.5645 (2.6036) Prec@1 38.125 (36.833) Prec@5 64.375 (67.532) Epoch: [20][11120/11272] Time 0.818 (0.810) Data 0.001 (0.002) Loss 2.5505 (2.6037) Prec@1 35.625 (36.833) Prec@5 69.375 (67.531) Epoch: [20][11130/11272] Time 0.776 (0.810) Data 0.004 (0.002) Loss 2.8253 (2.6037) Prec@1 29.375 (36.832) Prec@5 63.125 (67.529) Epoch: [20][11140/11272] Time 0.759 (0.810) Data 0.002 (0.002) Loss 2.7124 (2.6037) Prec@1 33.125 (36.832) Prec@5 65.625 (67.530) Epoch: [20][11150/11272] Time 0.912 (0.810) Data 0.003 (0.002) Loss 2.7555 (2.6037) Prec@1 38.750 (36.833) Prec@5 65.625 (67.529) Epoch: [20][11160/11272] Time 0.902 (0.810) Data 0.002 (0.002) Loss 2.5951 (2.6037) Prec@1 38.125 (36.832) Prec@5 70.000 (67.529) Epoch: [20][11170/11272] Time 0.739 (0.810) Data 0.002 (0.002) Loss 2.4766 (2.6037) Prec@1 41.250 (36.834) Prec@5 70.000 (67.530) Epoch: [20][11180/11272] Time 0.733 (0.810) Data 0.002 (0.002) Loss 2.5551 (2.6037) Prec@1 38.750 (36.835) Prec@5 70.000 (67.532) Epoch: [20][11190/11272] Time 0.858 (0.810) Data 0.002 (0.002) Loss 2.6972 (2.6038) Prec@1 33.125 (36.835) Prec@5 65.000 (67.531) Epoch: [20][11200/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.7541 (2.6037) Prec@1 33.125 (36.835) Prec@5 62.500 (67.531) Epoch: [20][11210/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 2.4595 (2.6038) Prec@1 40.625 (36.836) Prec@5 70.625 (67.530) Epoch: [20][11220/11272] Time 0.728 (0.810) Data 0.002 (0.002) Loss 2.6727 (2.6038) Prec@1 34.375 (36.836) Prec@5 66.250 (67.528) Epoch: [20][11230/11272] Time 0.861 (0.810) Data 0.002 (0.002) Loss 2.5671 (2.6038) Prec@1 38.125 (36.837) Prec@5 68.750 (67.527) Epoch: [20][11240/11272] Time 0.828 (0.810) Data 0.002 (0.002) Loss 2.7327 (2.6038) Prec@1 36.875 (36.837) Prec@5 68.750 (67.529) Epoch: [20][11250/11272] Time 0.765 (0.810) Data 0.002 (0.002) Loss 2.9236 (2.6039) Prec@1 30.625 (36.835) Prec@5 57.500 (67.528) Epoch: [20][11260/11272] Time 0.822 (0.810) Data 0.001 (0.002) Loss 2.5429 (2.6038) Prec@1 37.500 (36.838) Prec@5 66.875 (67.529) Epoch: [20][11270/11272] Time 0.800 (0.810) Data 0.000 (0.002) Loss 2.5770 (2.6038) Prec@1 36.875 (36.837) Prec@5 65.625 (67.529) Test: [0/229] Time 1.385 (1.385) Loss 1.2382 (1.2382) Prec@1 69.375 (69.375) Prec@5 91.250 (91.250) Test: [10/229] Time 0.325 (0.474) Loss 1.8225 (2.1897) Prec@1 45.000 (44.318) Prec@5 88.750 (77.898) Test: [20/229] Time 0.431 (0.435) Loss 3.0327 (2.2745) Prec@1 22.500 (42.768) Prec@5 56.250 (74.881) Test: [30/229] Time 0.427 (0.421) Loss 2.7738 (2.1977) Prec@1 26.875 (44.637) Prec@5 65.000 (75.706) Test: [40/229] Time 0.350 (0.409) Loss 0.8749 (2.2429) Prec@1 81.250 (43.643) Prec@5 88.750 (74.375) Test: [50/229] Time 0.458 (0.403) Loss 2.7275 (2.2417) Prec@1 31.250 (43.799) Prec@5 72.500 (74.559) Test: [60/229] Time 0.384 (0.399) Loss 2.8921 (2.2396) Prec@1 21.250 (43.852) Prec@5 59.375 (74.457) Test: [70/229] Time 0.427 (0.397) Loss 1.8963 (2.2472) Prec@1 54.375 (43.750) Prec@5 81.250 (74.331) Test: [80/229] Time 0.338 (0.395) Loss 2.3772 (2.2203) Prec@1 30.000 (44.105) Prec@5 80.625 (75.324) Test: [90/229] Time 0.322 (0.397) Loss 2.1241 (2.2341) Prec@1 52.500 (43.716) Prec@5 73.750 (75.268) Test: [100/229] Time 0.468 (0.397) Loss 1.8252 (2.2120) Prec@1 56.250 (44.072) Prec@5 85.625 (75.792) Test: [110/229] Time 0.336 (0.396) Loss 2.3082 (2.1964) Prec@1 33.125 (44.240) Prec@5 76.875 (76.177) Test: [120/229] Time 0.437 (0.395) Loss 3.2799 (2.2236) Prec@1 18.125 (43.492) Prec@5 57.500 (75.764) Test: [130/229] Time 0.337 (0.393) Loss 1.9249 (2.2114) Prec@1 49.375 (43.860) Prec@5 84.375 (75.921) Test: [140/229] Time 0.432 (0.393) Loss 2.2321 (2.2264) Prec@1 40.625 (43.364) Prec@5 75.625 (75.727) Test: [150/229] Time 0.368 (0.392) Loss 1.5243 (2.2335) Prec@1 68.750 (43.270) Prec@5 83.750 (75.633) Test: [160/229] Time 0.347 (0.392) Loss 1.8995 (2.2397) Prec@1 54.375 (43.207) Prec@5 85.625 (75.505) Test: [170/229] Time 0.381 (0.391) Loss 2.2353 (2.2630) Prec@1 40.625 (42.580) Prec@5 83.125 (75.124) Test: [180/229] Time 0.358 (0.390) Loss 2.8109 (2.2745) Prec@1 28.750 (42.427) Prec@5 62.500 (74.814) Test: [190/229] Time 0.431 (0.389) Loss 1.6852 (2.2694) Prec@1 56.875 (42.536) Prec@5 88.125 (74.915) Test: [200/229] Time 0.347 (0.389) Loss 2.0813 (2.2615) Prec@1 37.500 (42.463) Prec@5 77.500 (75.215) Test: [210/229] Time 0.418 (0.389) Loss 1.7068 (2.2451) Prec@1 45.000 (42.814) Prec@5 86.875 (75.509) Test: [220/229] Time 0.436 (0.388) Loss 1.9859 (2.2321) Prec@1 48.750 (43.150) Prec@5 83.750 (75.665) * Prec@1 43.561 Prec@5 75.839 Epoch: [21][0/11272] Time 3.050 (3.050) Data 2.059 (2.059) Loss 2.9187 (2.9187) Prec@1 33.125 (33.125) Prec@5 63.750 (63.750) Epoch: [21][10/11272] Time 0.918 (1.012) Data 0.003 (0.189) Loss 2.4365 (2.6349) Prec@1 41.250 (35.682) Prec@5 71.875 (67.386) Epoch: [21][20/11272] Time 0.752 (0.913) Data 0.002 (0.100) Loss 2.3603 (2.5967) Prec@1 41.250 (36.607) Prec@5 72.500 (68.125) Epoch: [21][30/11272] Time 0.733 (0.880) Data 0.001 (0.068) Loss 2.6673 (2.5799) Prec@1 33.750 (36.935) Prec@5 64.375 (68.367) Epoch: [21][40/11272] Time 0.866 (0.866) Data 0.002 (0.052) Loss 2.6719 (2.5889) Prec@1 35.000 (36.509) Prec@5 63.750 (67.790) Epoch: [21][50/11272] Time 0.904 (0.857) Data 0.002 (0.042) Loss 2.5470 (2.5866) Prec@1 34.375 (36.728) Prec@5 66.250 (67.868) Epoch: [21][60/11272] Time 0.732 (0.848) Data 0.001 (0.035) Loss 2.6666 (2.5817) Prec@1 33.750 (36.865) Prec@5 67.500 (67.951) Epoch: [21][70/11272] Time 0.845 (0.843) Data 0.001 (0.031) Loss 2.3751 (2.5713) Prec@1 45.000 (37.033) Prec@5 71.875 (68.301) Epoch: [21][80/11272] Time 0.858 (0.840) Data 0.001 (0.027) Loss 2.6489 (2.5758) Prec@1 31.875 (36.914) Prec@5 70.000 (68.295) Epoch: [21][90/11272] Time 0.736 (0.835) Data 0.002 (0.024) Loss 2.7431 (2.5768) Prec@1 33.750 (36.896) Prec@5 66.250 (68.365) Epoch: [21][100/11272] Time 0.747 (0.833) Data 0.002 (0.022) Loss 2.4057 (2.5738) Prec@1 40.625 (36.918) Prec@5 70.625 (68.354) Epoch: [21][110/11272] Time 0.856 (0.830) Data 0.001 (0.020) Loss 2.4807 (2.5758) Prec@1 43.125 (37.016) Prec@5 70.000 (68.333) Epoch: [21][120/11272] Time 0.892 (0.828) Data 0.002 (0.019) Loss 2.6637 (2.5753) Prec@1 33.125 (37.076) Prec@5 65.000 (68.301) Epoch: [21][130/11272] Time 0.735 (0.828) Data 0.001 (0.017) Loss 2.5706 (2.5785) Prec@1 43.125 (37.118) Prec@5 69.375 (68.297) Epoch: [21][140/11272] Time 0.728 (0.826) Data 0.001 (0.016) Loss 2.7559 (2.5867) Prec@1 38.125 (37.030) Prec@5 65.625 (68.050) Epoch: [21][150/11272] Time 0.884 (0.827) Data 0.002 (0.015) Loss 2.5369 (2.5906) Prec@1 36.250 (36.966) Prec@5 70.625 (68.013) Epoch: [21][160/11272] Time 0.858 (0.826) Data 0.002 (0.014) Loss 2.4729 (2.5869) Prec@1 43.125 (37.116) Prec@5 68.125 (68.102) Epoch: [21][170/11272] Time 0.739 (0.825) Data 0.001 (0.014) Loss 2.6662 (2.5876) Prec@1 33.750 (37.145) Prec@5 66.875 (68.107) Epoch: [21][180/11272] Time 0.727 (0.824) Data 0.001 (0.013) Loss 2.6675 (2.5887) Prec@1 33.125 (37.099) Prec@5 68.750 (68.080) Epoch: [21][190/11272] Time 0.927 (0.824) Data 0.002 (0.012) Loss 2.7366 (2.5883) Prec@1 36.250 (37.084) Prec@5 61.875 (68.089) Epoch: [21][200/11272] Time 0.747 (0.823) Data 0.004 (0.012) Loss 2.8124 (2.5884) Prec@1 31.250 (37.139) Prec@5 58.125 (67.998) Epoch: [21][210/11272] Time 0.735 (0.823) Data 0.001 (0.011) Loss 2.7445 (2.5885) Prec@1 28.125 (37.112) Prec@5 67.500 (68.027) Epoch: [21][220/11272] Time 0.884 (0.823) Data 0.002 (0.011) Loss 2.6531 (2.5877) Prec@1 36.250 (37.101) Prec@5 66.250 (68.080) Epoch: [21][230/11272] Time 0.897 (0.822) Data 0.002 (0.011) Loss 2.5488 (2.5881) Prec@1 38.125 (37.054) Prec@5 67.500 (68.087) Epoch: [21][240/11272] Time 0.746 (0.821) Data 0.002 (0.010) Loss 2.4627 (2.5869) Prec@1 41.250 (37.106) Prec@5 71.250 (68.107) Epoch: [21][250/11272] Time 0.733 (0.820) Data 0.001 (0.010) Loss 2.8651 (2.5882) Prec@1 33.125 (37.089) Prec@5 60.000 (68.050) Epoch: [21][260/11272] Time 0.906 (0.821) Data 0.002 (0.010) Loss 2.5326 (2.5884) Prec@1 40.000 (37.102) Prec@5 68.750 (68.041) Epoch: [21][270/11272] Time 0.856 (0.820) Data 0.001 (0.009) Loss 2.5540 (2.5872) Prec@1 39.375 (37.080) Prec@5 70.000 (68.028) Epoch: [21][280/11272] Time 0.729 (0.819) Data 0.001 (0.009) Loss 2.5927 (2.5884) Prec@1 40.000 (37.022) Prec@5 66.250 (67.998) Epoch: [21][290/11272] Time 0.754 (0.819) Data 0.002 (0.009) Loss 2.5323 (2.5876) Prec@1 41.250 (37.043) Prec@5 65.000 (68.005) Epoch: [21][300/11272] Time 0.882 (0.819) Data 0.001 (0.008) Loss 2.6850 (2.5876) Prec@1 32.500 (37.062) Prec@5 65.000 (68.009) Epoch: [21][310/11272] Time 0.865 (0.818) Data 0.003 (0.008) Loss 2.4105 (2.5876) Prec@1 40.000 (37.036) Prec@5 71.250 (67.980) Epoch: [21][320/11272] Time 0.761 (0.818) Data 0.001 (0.008) Loss 2.5617 (2.5876) Prec@1 37.500 (37.017) Prec@5 71.875 (67.977) Epoch: [21][330/11272] Time 0.852 (0.818) Data 0.001 (0.008) Loss 2.7458 (2.5888) Prec@1 37.500 (36.954) Prec@5 66.250 (67.963) Epoch: [21][340/11272] Time 0.898 (0.818) Data 0.002 (0.008) Loss 2.5669 (2.5871) Prec@1 36.250 (36.930) Prec@5 65.000 (68.002) Epoch: [21][350/11272] Time 0.729 (0.817) Data 0.002 (0.007) Loss 2.6667 (2.5865) Prec@1 30.000 (36.927) Prec@5 70.000 (68.052) Epoch: [21][360/11272] Time 0.735 (0.817) Data 0.001 (0.007) Loss 2.5236 (2.5864) Prec@1 42.500 (36.941) Prec@5 67.500 (68.087) Epoch: [21][370/11272] Time 0.849 (0.817) Data 0.002 (0.007) Loss 2.8546 (2.5868) Prec@1 30.625 (36.981) Prec@5 62.500 (68.059) Epoch: [21][380/11272] Time 0.824 (0.817) Data 0.001 (0.007) Loss 2.3535 (2.5876) Prec@1 45.000 (36.973) Prec@5 71.250 (68.045) Epoch: [21][390/11272] Time 0.723 (0.816) Data 0.001 (0.007) Loss 2.4028 (2.5877) Prec@1 38.125 (36.963) Prec@5 71.875 (68.059) Epoch: [21][400/11272] Time 0.722 (0.816) Data 0.001 (0.007) Loss 2.6888 (2.5860) Prec@1 36.250 (37.015) Prec@5 65.000 (68.106) Epoch: [21][410/11272] Time 0.903 (0.816) Data 0.002 (0.007) Loss 2.6030 (2.5867) Prec@1 35.625 (37.021) Prec@5 68.125 (68.085) Epoch: [21][420/11272] Time 0.896 (0.816) Data 0.002 (0.007) Loss 2.8168 (2.5874) Prec@1 33.125 (36.983) Prec@5 61.250 (68.060) Epoch: [21][430/11272] Time 0.808 (0.816) Data 0.001 (0.006) Loss 2.7165 (2.5879) Prec@1 33.125 (36.971) Prec@5 65.625 (68.047) Epoch: [21][440/11272] Time 0.730 (0.816) Data 0.001 (0.006) Loss 2.9367 (2.5881) Prec@1 31.250 (36.966) Prec@5 65.000 (68.061) Epoch: [21][450/11272] Time 0.846 (0.816) Data 0.002 (0.006) Loss 2.6945 (2.5891) Prec@1 32.500 (36.942) Prec@5 63.125 (68.032) Epoch: [21][460/11272] Time 0.735 (0.816) Data 0.003 (0.006) Loss 2.2811 (2.5896) Prec@1 44.375 (36.955) Prec@5 73.125 (68.049) Epoch: [21][470/11272] Time 0.810 (0.816) Data 0.002 (0.006) Loss 2.6090 (2.5897) Prec@1 36.875 (36.972) Prec@5 68.125 (68.060) Epoch: [21][480/11272] Time 0.881 (0.816) Data 0.002 (0.006) Loss 2.5173 (2.5886) Prec@1 43.125 (36.998) Prec@5 70.000 (68.089) Epoch: [21][490/11272] Time 0.900 (0.816) Data 0.002 (0.006) Loss 2.4390 (2.5889) Prec@1 44.375 (36.995) Prec@5 70.625 (68.059) Epoch: [21][500/11272] Time 0.721 (0.815) Data 0.001 (0.006) Loss 2.5591 (2.5895) Prec@1 40.000 (37.002) Prec@5 67.500 (68.056) Epoch: [21][510/11272] Time 0.743 (0.815) Data 0.001 (0.006) Loss 2.5093 (2.5893) Prec@1 32.500 (36.961) Prec@5 67.500 (68.052) Epoch: [21][520/11272] Time 0.894 (0.816) Data 0.001 (0.006) Loss 2.5021 (2.5890) Prec@1 36.875 (36.954) Prec@5 68.750 (68.059) Epoch: [21][530/11272] Time 0.922 (0.816) Data 0.002 (0.006) Loss 2.5221 (2.5877) Prec@1 36.875 (36.942) Prec@5 66.875 (68.077) Epoch: [21][540/11272] Time 0.741 (0.816) Data 0.003 (0.005) Loss 2.5409 (2.5863) Prec@1 35.625 (36.959) Prec@5 71.250 (68.091) Epoch: [21][550/11272] Time 0.735 (0.816) Data 0.001 (0.005) Loss 2.6308 (2.5862) Prec@1 38.750 (36.966) Prec@5 67.500 (68.093) Epoch: [21][560/11272] Time 0.874 (0.815) Data 0.002 (0.005) Loss 2.6465 (2.5867) Prec@1 39.375 (36.994) Prec@5 66.250 (68.074) Epoch: [21][570/11272] Time 0.874 (0.815) Data 0.002 (0.005) Loss 2.7856 (2.5880) Prec@1 32.500 (36.980) Prec@5 61.875 (68.031) Epoch: [21][580/11272] Time 0.739 (0.815) Data 0.002 (0.005) Loss 2.5092 (2.5878) Prec@1 40.625 (36.975) Prec@5 68.125 (68.032) Epoch: [21][590/11272] Time 0.844 (0.815) Data 0.001 (0.005) Loss 2.8446 (2.5884) Prec@1 32.500 (36.981) Prec@5 65.000 (68.020) Epoch: [21][600/11272] Time 0.889 (0.815) Data 0.002 (0.005) Loss 2.6003 (2.5892) Prec@1 34.375 (36.949) Prec@5 68.750 (67.991) Epoch: [21][610/11272] Time 0.734 (0.815) Data 0.001 (0.005) Loss 2.5327 (2.5897) Prec@1 38.125 (36.943) Prec@5 67.500 (67.961) Epoch: [21][620/11272] Time 0.742 (0.815) Data 0.001 (0.005) Loss 2.4899 (2.5890) Prec@1 40.000 (36.964) Prec@5 71.250 (67.969) Epoch: [21][630/11272] Time 0.857 (0.815) Data 0.001 (0.005) Loss 2.5344 (2.5888) Prec@1 38.750 (36.967) Prec@5 74.375 (67.991) Epoch: [21][640/11272] Time 0.963 (0.815) Data 0.003 (0.005) Loss 2.6270 (2.5897) Prec@1 31.250 (36.948) Prec@5 66.250 (67.990) Epoch: [21][650/11272] Time 0.728 (0.815) Data 0.001 (0.005) Loss 2.4649 (2.5907) Prec@1 40.000 (36.934) Prec@5 71.875 (67.964) Epoch: [21][660/11272] Time 0.749 (0.815) Data 0.002 (0.005) Loss 2.4749 (2.5917) Prec@1 38.750 (36.925) Prec@5 71.250 (67.951) Epoch: [21][670/11272] Time 0.858 (0.815) Data 0.002 (0.005) Loss 2.4487 (2.5916) Prec@1 34.375 (36.911) Prec@5 71.250 (67.953) Epoch: [21][680/11272] Time 0.885 (0.815) Data 0.002 (0.005) Loss 2.6570 (2.5905) Prec@1 34.375 (36.944) Prec@5 71.875 (67.974) Epoch: [21][690/11272] Time 0.726 (0.815) Data 0.002 (0.005) Loss 2.5190 (2.5906) Prec@1 38.750 (36.939) Prec@5 69.375 (67.971) Epoch: [21][700/11272] Time 0.715 (0.815) Data 0.001 (0.005) Loss 2.5926 (2.5912) Prec@1 37.500 (36.937) Prec@5 66.875 (67.958) Epoch: [21][710/11272] Time 0.854 (0.815) Data 0.002 (0.005) Loss 2.6714 (2.5912) Prec@1 33.125 (36.914) Prec@5 66.875 (67.970) Epoch: [21][720/11272] Time 0.888 (0.815) Data 0.003 (0.004) Loss 2.4150 (2.5902) Prec@1 45.000 (36.935) Prec@5 66.250 (67.973) Epoch: [21][730/11272] Time 0.734 (0.814) Data 0.002 (0.004) Loss 2.5876 (2.5905) Prec@1 34.375 (36.926) Prec@5 70.625 (67.978) Epoch: [21][740/11272] Time 0.889 (0.815) Data 0.001 (0.004) Loss 2.5649 (2.5900) Prec@1 36.875 (36.934) Prec@5 70.000 (67.989) Epoch: [21][750/11272] Time 0.841 (0.814) Data 0.002 (0.004) Loss 2.4957 (2.5897) Prec@1 40.625 (36.942) Prec@5 68.125 (67.990) Epoch: [21][760/11272] Time 0.729 (0.814) Data 0.001 (0.004) Loss 2.6896 (2.5892) Prec@1 31.250 (36.942) Prec@5 66.250 (68.007) Epoch: [21][770/11272] Time 0.751 (0.814) Data 0.002 (0.004) Loss 2.6570 (2.5889) Prec@1 35.000 (36.946) Prec@5 68.125 (67.999) Epoch: [21][780/11272] Time 0.866 (0.814) Data 0.002 (0.004) Loss 2.5940 (2.5888) Prec@1 31.250 (36.940) Prec@5 69.375 (68.000) Epoch: [21][790/11272] Time 0.888 (0.814) Data 0.002 (0.004) Loss 2.7785 (2.5879) Prec@1 34.375 (36.967) Prec@5 67.500 (68.016) Epoch: [21][800/11272] Time 0.756 (0.814) Data 0.001 (0.004) Loss 2.8999 (2.5885) Prec@1 25.000 (36.947) Prec@5 63.125 (68.006) Epoch: [21][810/11272] Time 0.723 (0.814) Data 0.001 (0.004) Loss 2.5286 (2.5883) Prec@1 32.500 (36.942) Prec@5 66.875 (68.008) Epoch: [21][820/11272] Time 0.879 (0.814) Data 0.002 (0.004) Loss 2.9474 (2.5886) Prec@1 32.500 (36.937) Prec@5 64.375 (68.002) Epoch: [21][830/11272] Time 0.907 (0.814) Data 0.002 (0.004) Loss 2.6465 (2.5891) Prec@1 35.000 (36.919) Prec@5 62.500 (67.972) Epoch: [21][840/11272] Time 0.729 (0.814) Data 0.001 (0.004) Loss 2.5981 (2.5887) Prec@1 32.500 (36.917) Prec@5 70.625 (67.971) Epoch: [21][850/11272] Time 0.757 (0.814) Data 0.002 (0.004) Loss 2.7874 (2.5894) Prec@1 29.375 (36.900) Prec@5 67.500 (67.952) Epoch: [21][860/11272] Time 0.929 (0.814) Data 0.002 (0.004) Loss 2.4502 (2.5900) Prec@1 40.625 (36.916) Prec@5 72.500 (67.934) Epoch: [21][870/11272] Time 0.750 (0.814) Data 0.001 (0.004) Loss 2.7497 (2.5906) Prec@1 32.500 (36.900) Prec@5 61.875 (67.926) Epoch: [21][880/11272] Time 0.743 (0.814) Data 0.001 (0.004) Loss 2.8737 (2.5915) Prec@1 34.375 (36.884) Prec@5 58.125 (67.902) Epoch: [21][890/11272] Time 0.844 (0.814) Data 0.002 (0.004) Loss 2.7848 (2.5917) Prec@1 32.500 (36.884) Prec@5 64.375 (67.887) Epoch: [21][900/11272] Time 0.871 (0.814) Data 0.002 (0.004) Loss 2.6580 (2.5911) Prec@1 33.125 (36.892) Prec@5 70.000 (67.899) Epoch: [21][910/11272] Time 0.732 (0.814) Data 0.001 (0.004) Loss 2.6591 (2.5919) Prec@1 39.375 (36.894) Prec@5 68.750 (67.878) Epoch: [21][920/11272] Time 0.771 (0.814) Data 0.002 (0.004) Loss 2.6050 (2.5915) Prec@1 34.375 (36.912) Prec@5 65.000 (67.887) Epoch: [21][930/11272] Time 0.890 (0.814) Data 0.002 (0.004) Loss 2.6044 (2.5907) Prec@1 32.500 (36.930) Prec@5 66.875 (67.903) Epoch: [21][940/11272] Time 0.906 (0.814) Data 0.002 (0.004) Loss 2.4763 (2.5910) Prec@1 38.125 (36.908) Prec@5 72.500 (67.897) Epoch: [21][950/11272] Time 0.737 (0.814) Data 0.001 (0.004) Loss 2.7287 (2.5918) Prec@1 32.500 (36.899) Prec@5 63.125 (67.879) Epoch: [21][960/11272] Time 0.759 (0.814) Data 0.002 (0.004) Loss 2.4812 (2.5918) Prec@1 41.875 (36.909) Prec@5 66.875 (67.885) Epoch: [21][970/11272] Time 0.865 (0.814) Data 0.002 (0.004) Loss 2.8195 (2.5919) Prec@1 34.375 (36.914) Prec@5 69.375 (67.897) Epoch: [21][980/11272] Time 0.860 (0.814) Data 0.002 (0.004) Loss 2.6958 (2.5931) Prec@1 36.250 (36.907) Prec@5 68.750 (67.873) Epoch: [21][990/11272] Time 0.767 (0.814) Data 0.001 (0.004) Loss 2.5551 (2.5938) Prec@1 39.375 (36.901) Prec@5 69.375 (67.866) Epoch: [21][1000/11272] Time 0.885 (0.814) Data 0.001 (0.004) Loss 2.6441 (2.5936) Prec@1 32.500 (36.901) Prec@5 66.250 (67.874) Epoch: [21][1010/11272] Time 0.862 (0.814) Data 0.002 (0.004) Loss 2.4702 (2.5942) Prec@1 36.875 (36.893) Prec@5 69.375 (67.869) Epoch: [21][1020/11272] Time 0.709 (0.814) Data 0.001 (0.004) Loss 2.3572 (2.5930) Prec@1 44.375 (36.904) Prec@5 71.250 (67.891) Epoch: [21][1030/11272] Time 0.732 (0.814) Data 0.001 (0.004) Loss 2.5812 (2.5918) Prec@1 37.500 (36.914) Prec@5 68.750 (67.921) Epoch: [21][1040/11272] Time 0.895 (0.814) Data 0.002 (0.004) Loss 2.7230 (2.5914) Prec@1 31.875 (36.923) Prec@5 63.125 (67.918) Epoch: [21][1050/11272] Time 0.877 (0.814) Data 0.002 (0.004) Loss 2.5381 (2.5910) Prec@1 36.875 (36.932) Prec@5 68.750 (67.918) Epoch: [21][1060/11272] Time 0.730 (0.814) Data 0.001 (0.004) Loss 2.5918 (2.5915) Prec@1 38.750 (36.936) Prec@5 68.125 (67.912) Epoch: [21][1070/11272] Time 0.746 (0.814) Data 0.001 (0.004) Loss 2.6592 (2.5917) Prec@1 31.875 (36.930) Prec@5 65.000 (67.903) Epoch: [21][1080/11272] Time 0.860 (0.814) Data 0.002 (0.004) Loss 2.5471 (2.5917) Prec@1 36.875 (36.943) Prec@5 69.375 (67.902) Epoch: [21][1090/11272] Time 0.885 (0.814) Data 0.002 (0.004) Loss 2.4699 (2.5914) Prec@1 36.875 (36.956) Prec@5 71.250 (67.911) Epoch: [21][1100/11272] Time 0.722 (0.814) Data 0.002 (0.004) Loss 2.7775 (2.5918) Prec@1 38.125 (36.949) Prec@5 69.375 (67.908) Epoch: [21][1110/11272] Time 0.721 (0.813) Data 0.001 (0.004) Loss 2.4350 (2.5911) Prec@1 38.750 (36.966) Prec@5 71.250 (67.925) Epoch: [21][1120/11272] Time 0.894 (0.813) Data 0.002 (0.003) Loss 2.4183 (2.5911) Prec@1 38.750 (36.957) Prec@5 74.375 (67.927) Epoch: [21][1130/11272] Time 0.737 (0.813) Data 0.003 (0.003) Loss 2.5690 (2.5908) Prec@1 34.375 (36.963) Prec@5 66.875 (67.931) Epoch: [21][1140/11272] Time 0.750 (0.813) Data 0.001 (0.003) Loss 2.6206 (2.5911) Prec@1 38.125 (36.960) Prec@5 63.750 (67.933) Epoch: [21][1150/11272] Time 0.855 (0.813) Data 0.002 (0.003) Loss 2.6389 (2.5914) Prec@1 38.125 (36.959) Prec@5 68.750 (67.924) Epoch: [21][1160/11272] Time 0.910 (0.813) Data 0.003 (0.003) Loss 2.6410 (2.5914) Prec@1 36.250 (36.960) Prec@5 61.250 (67.915) Epoch: [21][1170/11272] Time 0.760 (0.813) Data 0.002 (0.003) Loss 2.7979 (2.5922) Prec@1 32.500 (36.949) Prec@5 58.750 (67.891) Epoch: [21][1180/11272] Time 0.733 (0.813) Data 0.001 (0.003) Loss 2.6141 (2.5921) Prec@1 36.875 (36.954) Prec@5 67.500 (67.891) Epoch: [21][1190/11272] Time 0.867 (0.813) Data 0.002 (0.003) Loss 2.7829 (2.5927) Prec@1 38.750 (36.941) Prec@5 60.000 (67.879) Epoch: [21][1200/11272] Time 0.870 (0.813) Data 0.002 (0.003) Loss 2.7022 (2.5927) Prec@1 35.000 (36.953) Prec@5 63.750 (67.875) Epoch: [21][1210/11272] Time 0.796 (0.813) Data 0.001 (0.003) Loss 2.7271 (2.5929) Prec@1 35.000 (36.950) Prec@5 68.125 (67.880) Epoch: [21][1220/11272] Time 0.709 (0.813) Data 0.001 (0.003) Loss 2.4348 (2.5922) Prec@1 42.500 (36.961) Prec@5 67.500 (67.897) Epoch: [21][1230/11272] Time 0.933 (0.813) Data 0.002 (0.003) Loss 2.7579 (2.5922) Prec@1 34.375 (36.952) Prec@5 64.375 (67.898) Epoch: [21][1240/11272] Time 0.867 (0.813) Data 0.003 (0.003) Loss 2.5178 (2.5928) Prec@1 34.375 (36.947) Prec@5 71.250 (67.881) Epoch: [21][1250/11272] Time 0.730 (0.813) Data 0.001 (0.003) Loss 2.4323 (2.5930) Prec@1 40.625 (36.950) Prec@5 69.375 (67.862) Epoch: [21][1260/11272] Time 0.802 (0.812) Data 0.001 (0.003) Loss 2.8750 (2.5935) Prec@1 36.875 (36.956) Prec@5 60.000 (67.844) Epoch: [21][1270/11272] Time 0.887 (0.812) Data 0.002 (0.003) Loss 2.5963 (2.5932) Prec@1 39.375 (36.951) Prec@5 68.125 (67.854) Epoch: [21][1280/11272] Time 0.766 (0.812) Data 0.002 (0.003) Loss 2.4586 (2.5935) Prec@1 37.500 (36.938) Prec@5 71.250 (67.849) Epoch: [21][1290/11272] Time 0.739 (0.812) Data 0.001 (0.003) Loss 2.4854 (2.5936) Prec@1 39.375 (36.945) Prec@5 70.625 (67.849) Epoch: [21][1300/11272] Time 0.901 (0.812) Data 0.002 (0.003) Loss 2.6770 (2.5940) Prec@1 42.500 (36.945) Prec@5 64.375 (67.836) Epoch: [21][1310/11272] Time 0.881 (0.812) Data 0.002 (0.003) Loss 2.6815 (2.5941) Prec@1 33.750 (36.941) Prec@5 66.250 (67.827) Epoch: [21][1320/11272] Time 0.711 (0.812) Data 0.001 (0.003) Loss 2.6629 (2.5938) Prec@1 33.125 (36.940) Prec@5 65.625 (67.826) Epoch: [21][1330/11272] Time 0.729 (0.812) Data 0.001 (0.003) Loss 2.9935 (2.5940) Prec@1 28.750 (36.937) Prec@5 60.000 (67.817) Epoch: [21][1340/11272] Time 0.864 (0.812) Data 0.002 (0.003) Loss 2.4671 (2.5943) Prec@1 41.875 (36.939) Prec@5 70.625 (67.822) Epoch: [21][1350/11272] Time 0.859 (0.812) Data 0.002 (0.003) Loss 2.5049 (2.5946) Prec@1 40.625 (36.942) Prec@5 66.875 (67.817) Epoch: [21][1360/11272] Time 0.733 (0.812) Data 0.001 (0.003) Loss 2.7113 (2.5949) Prec@1 36.250 (36.949) Prec@5 66.875 (67.815) Epoch: [21][1370/11272] Time 0.748 (0.812) Data 0.001 (0.003) Loss 2.7442 (2.5948) Prec@1 33.750 (36.962) Prec@5 61.875 (67.816) Epoch: [21][1380/11272] Time 0.852 (0.812) Data 0.002 (0.003) Loss 2.4573 (2.5944) Prec@1 36.875 (36.970) Prec@5 71.250 (67.820) Epoch: [21][1390/11272] Time 0.760 (0.812) Data 0.003 (0.003) Loss 2.4354 (2.5945) Prec@1 37.500 (36.968) Prec@5 69.375 (67.820) Epoch: [21][1400/11272] Time 0.746 (0.812) Data 0.001 (0.003) Loss 2.8019 (2.5950) Prec@1 32.500 (36.957) Prec@5 65.625 (67.815) Epoch: [21][1410/11272] Time 0.875 (0.812) Data 0.002 (0.003) Loss 2.5142 (2.5956) Prec@1 36.875 (36.949) Prec@5 70.625 (67.796) Epoch: [21][1420/11272] Time 0.886 (0.812) Data 0.002 (0.003) Loss 2.4126 (2.5957) Prec@1 37.500 (36.941) Prec@5 68.750 (67.790) Epoch: [21][1430/11272] Time 0.744 (0.812) Data 0.001 (0.003) Loss 2.5069 (2.5951) Prec@1 38.750 (36.952) Prec@5 68.750 (67.800) Epoch: [21][1440/11272] Time 0.747 (0.812) Data 0.002 (0.003) Loss 2.6534 (2.5950) Prec@1 38.125 (36.947) Prec@5 63.125 (67.808) Epoch: [21][1450/11272] Time 0.876 (0.812) Data 0.002 (0.003) Loss 2.8504 (2.5952) Prec@1 35.625 (36.953) Prec@5 61.875 (67.814) Epoch: [21][1460/11272] Time 0.872 (0.812) Data 0.002 (0.003) Loss 2.5250 (2.5954) Prec@1 41.250 (36.952) Prec@5 70.000 (67.810) Epoch: [21][1470/11272] Time 0.728 (0.812) Data 0.001 (0.003) Loss 2.7455 (2.5957) Prec@1 28.750 (36.935) Prec@5 65.000 (67.807) Epoch: [21][1480/11272] Time 0.726 (0.812) Data 0.001 (0.003) Loss 2.7978 (2.5959) Prec@1 34.375 (36.937) Prec@5 60.000 (67.797) Epoch: [21][1490/11272] Time 0.868 (0.812) Data 0.002 (0.003) Loss 2.4579 (2.5961) Prec@1 36.250 (36.932) Prec@5 70.000 (67.796) Epoch: [21][1500/11272] Time 0.854 (0.812) Data 0.002 (0.003) Loss 2.4800 (2.5962) Prec@1 39.375 (36.923) Prec@5 70.625 (67.796) Epoch: [21][1510/11272] Time 0.782 (0.812) Data 0.002 (0.003) Loss 2.5904 (2.5965) Prec@1 37.500 (36.919) Prec@5 66.250 (67.788) Epoch: [21][1520/11272] Time 0.940 (0.812) Data 0.001 (0.003) Loss 2.5819 (2.5958) Prec@1 37.500 (36.939) Prec@5 68.125 (67.796) Epoch: [21][1530/11272] Time 0.884 (0.812) Data 0.002 (0.003) Loss 2.4197 (2.5955) Prec@1 38.125 (36.948) Prec@5 70.000 (67.800) Epoch: [21][1540/11272] Time 0.733 (0.812) Data 0.001 (0.003) Loss 2.6105 (2.5956) Prec@1 40.625 (36.949) Prec@5 65.625 (67.791) Epoch: [21][1550/11272] Time 0.735 (0.812) Data 0.002 (0.003) Loss 2.3378 (2.5957) Prec@1 42.500 (36.948) Prec@5 71.875 (67.792) Epoch: [21][1560/11272] Time 0.813 (0.812) Data 0.001 (0.003) Loss 2.4840 (2.5954) Prec@1 37.500 (36.957) Prec@5 72.500 (67.798) Epoch: [21][1570/11272] Time 0.882 (0.812) Data 0.001 (0.003) Loss 2.4976 (2.5958) Prec@1 43.750 (36.950) Prec@5 68.750 (67.793) Epoch: [21][1580/11272] Time 0.734 (0.812) Data 0.001 (0.003) Loss 2.5984 (2.5961) Prec@1 40.625 (36.948) Prec@5 65.625 (67.783) Epoch: [21][1590/11272] Time 0.725 (0.812) Data 0.001 (0.003) Loss 2.9199 (2.5964) Prec@1 32.500 (36.946) Prec@5 57.500 (67.779) Epoch: [21][1600/11272] Time 0.859 (0.812) Data 0.001 (0.003) Loss 2.4746 (2.5961) Prec@1 43.125 (36.955) Prec@5 68.750 (67.789) Epoch: [21][1610/11272] Time 0.894 (0.812) Data 0.002 (0.003) Loss 2.6989 (2.5962) Prec@1 38.125 (36.957) Prec@5 65.625 (67.787) Epoch: [21][1620/11272] Time 0.743 (0.812) Data 0.002 (0.003) Loss 2.4528 (2.5956) Prec@1 38.125 (36.956) Prec@5 71.875 (67.799) Epoch: [21][1630/11272] Time 0.715 (0.812) Data 0.001 (0.003) Loss 2.4496 (2.5952) Prec@1 40.000 (36.949) Prec@5 69.375 (67.805) Epoch: [21][1640/11272] Time 0.863 (0.812) Data 0.002 (0.003) Loss 2.6136 (2.5950) Prec@1 35.000 (36.952) Prec@5 69.375 (67.812) Epoch: [21][1650/11272] Time 0.880 (0.812) Data 0.002 (0.003) Loss 2.8149 (2.5953) Prec@1 38.125 (36.950) Prec@5 65.000 (67.812) Epoch: [21][1660/11272] Time 0.745 (0.812) Data 0.002 (0.003) Loss 2.8625 (2.5957) Prec@1 31.250 (36.936) Prec@5 63.750 (67.804) Epoch: [21][1670/11272] Time 0.869 (0.812) Data 0.002 (0.003) Loss 2.4735 (2.5957) Prec@1 33.125 (36.928) Prec@5 67.500 (67.806) Epoch: [21][1680/11272] Time 0.887 (0.812) Data 0.002 (0.003) Loss 2.3837 (2.5959) Prec@1 41.875 (36.923) Prec@5 68.125 (67.801) Epoch: [21][1690/11272] Time 0.728 (0.812) Data 0.001 (0.003) Loss 2.6754 (2.5956) Prec@1 38.125 (36.934) Prec@5 68.750 (67.806) Epoch: [21][1700/11272] Time 0.727 (0.812) Data 0.001 (0.003) Loss 2.6471 (2.5957) Prec@1 35.625 (36.930) Prec@5 67.500 (67.805) Epoch: [21][1710/11272] Time 0.882 (0.812) Data 0.002 (0.003) Loss 2.4868 (2.5959) Prec@1 41.875 (36.933) Prec@5 73.125 (67.800) Epoch: [21][1720/11272] Time 0.871 (0.812) Data 0.002 (0.003) Loss 2.6248 (2.5962) Prec@1 35.625 (36.933) Prec@5 62.500 (67.788) Epoch: [21][1730/11272] Time 0.727 (0.812) Data 0.001 (0.003) Loss 2.5305 (2.5960) Prec@1 40.625 (36.933) Prec@5 70.625 (67.794) Epoch: [21][1740/11272] Time 0.730 (0.812) Data 0.002 (0.003) Loss 2.6631 (2.5964) Prec@1 35.625 (36.926) Prec@5 63.125 (67.784) Epoch: [21][1750/11272] Time 0.906 (0.812) Data 0.002 (0.003) Loss 2.8649 (2.5968) Prec@1 33.750 (36.916) Prec@5 63.750 (67.778) Epoch: [21][1760/11272] Time 0.935 (0.812) Data 0.002 (0.003) Loss 2.5828 (2.5963) Prec@1 39.375 (36.923) Prec@5 70.625 (67.787) Epoch: [21][1770/11272] Time 0.735 (0.812) Data 0.002 (0.003) Loss 2.4703 (2.5960) Prec@1 38.125 (36.939) Prec@5 68.125 (67.784) Epoch: [21][1780/11272] Time 0.767 (0.812) Data 0.001 (0.003) Loss 2.5503 (2.5957) Prec@1 39.375 (36.949) Prec@5 71.875 (67.795) Epoch: [21][1790/11272] Time 0.854 (0.812) Data 0.002 (0.003) Loss 2.3746 (2.5960) Prec@1 46.250 (36.947) Prec@5 71.875 (67.791) Epoch: [21][1800/11272] Time 0.808 (0.812) Data 0.001 (0.003) Loss 2.4329 (2.5956) Prec@1 43.125 (36.950) Prec@5 73.125 (67.799) Epoch: [21][1810/11272] Time 0.742 (0.812) Data 0.001 (0.003) Loss 2.3717 (2.5958) Prec@1 38.125 (36.946) Prec@5 75.000 (67.799) Epoch: [21][1820/11272] Time 0.870 (0.812) Data 0.002 (0.003) Loss 2.7472 (2.5958) Prec@1 34.375 (36.948) Prec@5 62.500 (67.797) Epoch: [21][1830/11272] Time 0.835 (0.812) Data 0.002 (0.003) Loss 2.6969 (2.5957) Prec@1 40.000 (36.954) Prec@5 61.875 (67.800) Epoch: [21][1840/11272] Time 0.723 (0.812) Data 0.001 (0.003) Loss 2.6753 (2.5955) Prec@1 37.500 (36.963) Prec@5 65.625 (67.806) Epoch: [21][1850/11272] Time 0.739 (0.812) Data 0.001 (0.003) Loss 2.4194 (2.5957) Prec@1 40.625 (36.956) Prec@5 71.875 (67.803) Epoch: [21][1860/11272] Time 0.851 (0.812) Data 0.001 (0.003) Loss 2.7488 (2.5957) Prec@1 35.625 (36.955) Prec@5 65.625 (67.803) Epoch: [21][1870/11272] Time 0.862 (0.812) Data 0.002 (0.003) Loss 2.9711 (2.5959) Prec@1 30.000 (36.958) Prec@5 58.125 (67.799) Epoch: [21][1880/11272] Time 0.733 (0.812) Data 0.001 (0.003) Loss 2.7250 (2.5957) Prec@1 34.375 (36.959) Prec@5 67.500 (67.808) Epoch: [21][1890/11272] Time 0.742 (0.812) Data 0.001 (0.003) Loss 2.5555 (2.5959) Prec@1 36.875 (36.952) Prec@5 69.375 (67.802) Epoch: [21][1900/11272] Time 0.896 (0.812) Data 0.002 (0.003) Loss 2.6449 (2.5962) Prec@1 36.875 (36.955) Prec@5 63.125 (67.790) Epoch: [21][1910/11272] Time 0.865 (0.812) Data 0.002 (0.003) Loss 2.6976 (2.5964) Prec@1 33.750 (36.956) Prec@5 61.875 (67.774) Epoch: [21][1920/11272] Time 0.738 (0.812) Data 0.001 (0.003) Loss 2.9062 (2.5965) Prec@1 29.375 (36.951) Prec@5 58.125 (67.769) Epoch: [21][1930/11272] Time 0.882 (0.812) Data 0.002 (0.003) Loss 2.8281 (2.5970) Prec@1 30.000 (36.944) Prec@5 65.000 (67.763) Epoch: [21][1940/11272] Time 0.921 (0.812) Data 0.002 (0.003) Loss 2.4300 (2.5970) Prec@1 41.250 (36.950) Prec@5 69.375 (67.760) Epoch: [21][1950/11272] Time 0.740 (0.812) Data 0.001 (0.003) Loss 2.3989 (2.5970) Prec@1 41.875 (36.952) Prec@5 68.125 (67.766) Epoch: [21][1960/11272] Time 0.752 (0.812) Data 0.002 (0.003) Loss 2.7101 (2.5972) Prec@1 35.000 (36.946) Prec@5 64.375 (67.759) Epoch: [21][1970/11272] Time 0.911 (0.812) Data 0.002 (0.003) Loss 2.3648 (2.5972) Prec@1 41.875 (36.946) Prec@5 75.625 (67.760) Epoch: [21][1980/11272] Time 0.928 (0.812) Data 0.002 (0.003) Loss 2.6282 (2.5972) Prec@1 39.375 (36.943) Prec@5 64.375 (67.764) Epoch: [21][1990/11272] Time 0.720 (0.812) Data 0.002 (0.003) Loss 2.3938 (2.5973) Prec@1 41.875 (36.940) Prec@5 68.750 (67.749) Epoch: [21][2000/11272] Time 0.701 (0.812) Data 0.001 (0.003) Loss 2.6021 (2.5970) Prec@1 39.375 (36.944) Prec@5 68.125 (67.750) Epoch: [21][2010/11272] Time 0.871 (0.812) Data 0.002 (0.003) Loss 2.4865 (2.5972) Prec@1 36.875 (36.940) Prec@5 71.875 (67.741) Epoch: [21][2020/11272] Time 0.877 (0.812) Data 0.002 (0.003) Loss 2.5433 (2.5973) Prec@1 36.250 (36.939) Prec@5 67.500 (67.736) Epoch: [21][2030/11272] Time 0.729 (0.812) Data 0.001 (0.003) Loss 2.6265 (2.5977) Prec@1 35.625 (36.923) Prec@5 69.375 (67.728) Epoch: [21][2040/11272] Time 0.743 (0.812) Data 0.001 (0.003) Loss 2.4446 (2.5976) Prec@1 41.250 (36.930) Prec@5 68.750 (67.727) Epoch: [21][2050/11272] Time 0.869 (0.812) Data 0.001 (0.003) Loss 2.2879 (2.5977) Prec@1 43.125 (36.933) Prec@5 73.750 (67.719) Epoch: [21][2060/11272] Time 0.778 (0.812) Data 0.003 (0.003) Loss 2.7041 (2.5976) Prec@1 33.125 (36.936) Prec@5 61.875 (67.719) Epoch: [21][2070/11272] Time 0.751 (0.812) Data 0.001 (0.003) Loss 2.6878 (2.5975) Prec@1 34.375 (36.932) Prec@5 66.250 (67.720) Epoch: [21][2080/11272] Time 0.876 (0.812) Data 0.002 (0.003) Loss 2.4992 (2.5973) Prec@1 35.000 (36.930) Prec@5 69.375 (67.723) Epoch: [21][2090/11272] Time 0.879 (0.812) Data 0.002 (0.003) Loss 2.6588 (2.5972) Prec@1 34.375 (36.925) Prec@5 66.250 (67.724) Epoch: [21][2100/11272] Time 0.766 (0.812) Data 0.002 (0.003) Loss 2.3383 (2.5968) Prec@1 44.375 (36.932) Prec@5 75.000 (67.731) Epoch: [21][2110/11272] Time 0.743 (0.812) Data 0.001 (0.003) Loss 2.5561 (2.5970) Prec@1 41.250 (36.935) Prec@5 65.000 (67.717) Epoch: [21][2120/11272] Time 0.880 (0.812) Data 0.002 (0.003) Loss 2.6405 (2.5973) Prec@1 33.125 (36.930) Prec@5 64.375 (67.712) Epoch: [21][2130/11272] Time 0.866 (0.812) Data 0.002 (0.003) Loss 2.5935 (2.5971) Prec@1 38.750 (36.938) Prec@5 69.375 (67.712) Epoch: [21][2140/11272] Time 0.771 (0.812) Data 0.002 (0.003) Loss 2.5844 (2.5968) Prec@1 38.750 (36.943) Prec@5 68.125 (67.716) Epoch: [21][2150/11272] Time 0.727 (0.812) Data 0.001 (0.003) Loss 2.6148 (2.5963) Prec@1 35.625 (36.949) Prec@5 65.625 (67.722) Epoch: [21][2160/11272] Time 0.926 (0.812) Data 0.002 (0.003) Loss 2.6329 (2.5965) Prec@1 35.625 (36.946) Prec@5 67.500 (67.710) Epoch: [21][2170/11272] Time 0.857 (0.812) Data 0.002 (0.003) Loss 2.3716 (2.5962) Prec@1 43.125 (36.954) Prec@5 68.125 (67.715) Epoch: [21][2180/11272] Time 0.739 (0.812) Data 0.002 (0.003) Loss 2.4488 (2.5962) Prec@1 33.750 (36.947) Prec@5 71.250 (67.711) Epoch: [21][2190/11272] Time 0.839 (0.812) Data 0.001 (0.003) Loss 2.7196 (2.5963) Prec@1 32.500 (36.941) Prec@5 64.375 (67.705) Epoch: [21][2200/11272] Time 0.850 (0.812) Data 0.002 (0.003) Loss 2.2601 (2.5959) Prec@1 38.125 (36.944) Prec@5 78.750 (67.714) Epoch: [21][2210/11272] Time 0.726 (0.812) Data 0.001 (0.003) Loss 2.4754 (2.5958) Prec@1 35.625 (36.955) Prec@5 70.625 (67.717) Epoch: [21][2220/11272] Time 0.757 (0.812) Data 0.002 (0.003) Loss 2.4426 (2.5955) Prec@1 37.500 (36.955) Prec@5 71.250 (67.727) Epoch: [21][2230/11272] Time 0.855 (0.812) Data 0.002 (0.003) Loss 2.7025 (2.5954) Prec@1 35.000 (36.954) Prec@5 63.125 (67.730) Epoch: [21][2240/11272] Time 0.831 (0.812) Data 0.002 (0.003) Loss 2.5005 (2.5956) Prec@1 41.875 (36.949) Prec@5 74.375 (67.729) Epoch: [21][2250/11272] Time 0.704 (0.812) Data 0.001 (0.003) Loss 2.4978 (2.5956) Prec@1 38.750 (36.957) Prec@5 70.625 (67.729) Epoch: [21][2260/11272] Time 0.732 (0.812) Data 0.001 (0.003) Loss 2.5544 (2.5953) Prec@1 36.875 (36.964) Prec@5 68.750 (67.735) Epoch: [21][2270/11272] Time 0.852 (0.812) Data 0.002 (0.003) Loss 2.5424 (2.5953) Prec@1 40.000 (36.963) Prec@5 68.750 (67.735) Epoch: [21][2280/11272] Time 0.851 (0.812) Data 0.002 (0.003) Loss 2.6506 (2.5952) Prec@1 38.125 (36.971) Prec@5 63.125 (67.735) Epoch: [21][2290/11272] Time 0.720 (0.812) Data 0.002 (0.003) Loss 2.4206 (2.5951) Prec@1 43.750 (36.974) Prec@5 72.500 (67.735) Epoch: [21][2300/11272] Time 0.731 (0.812) Data 0.002 (0.003) Loss 2.5783 (2.5953) Prec@1 38.125 (36.965) Prec@5 67.500 (67.732) Epoch: [21][2310/11272] Time 0.890 (0.812) Data 0.002 (0.003) Loss 2.5486 (2.5951) Prec@1 37.500 (36.966) Prec@5 68.750 (67.735) Epoch: [21][2320/11272] Time 0.757 (0.812) Data 0.004 (0.003) Loss 2.4070 (2.5949) Prec@1 43.750 (36.973) Prec@5 71.875 (67.742) Epoch: [21][2330/11272] Time 0.752 (0.812) Data 0.002 (0.003) Loss 2.6374 (2.5949) Prec@1 36.875 (36.972) Prec@5 65.625 (67.740) Epoch: [21][2340/11272] Time 1.002 (0.812) Data 0.002 (0.003) Loss 2.4779 (2.5949) Prec@1 37.500 (36.972) Prec@5 71.875 (67.739) Epoch: [21][2350/11272] Time 0.931 (0.812) Data 0.002 (0.003) Loss 2.8679 (2.5948) Prec@1 30.625 (36.976) Prec@5 65.625 (67.740) Epoch: [21][2360/11272] Time 0.757 (0.812) Data 0.001 (0.003) Loss 2.4733 (2.5946) Prec@1 40.000 (36.981) Prec@5 71.250 (67.745) Epoch: [21][2370/11272] Time 0.797 (0.812) Data 0.002 (0.003) Loss 2.5656 (2.5949) Prec@1 34.375 (36.976) Prec@5 67.500 (67.741) Epoch: [21][2380/11272] Time 0.879 (0.812) Data 0.001 (0.003) Loss 2.5676 (2.5949) Prec@1 36.250 (36.971) Prec@5 70.000 (67.750) Epoch: [21][2390/11272] Time 0.916 (0.812) Data 0.002 (0.003) Loss 2.7331 (2.5949) Prec@1 31.875 (36.967) Prec@5 65.625 (67.753) Epoch: [21][2400/11272] Time 0.728 (0.812) Data 0.001 (0.003) Loss 2.3820 (2.5947) Prec@1 38.125 (36.969) Prec@5 76.250 (67.760) Epoch: [21][2410/11272] Time 0.743 (0.812) Data 0.001 (0.003) Loss 2.6935 (2.5943) Prec@1 35.625 (36.976) Prec@5 65.625 (67.764) Epoch: [21][2420/11272] Time 0.861 (0.812) Data 0.002 (0.002) Loss 2.6907 (2.5943) Prec@1 38.750 (36.981) Prec@5 64.375 (67.764) Epoch: [21][2430/11272] Time 0.905 (0.812) Data 0.002 (0.002) Loss 2.6035 (2.5942) Prec@1 39.375 (36.990) Prec@5 63.750 (67.758) Epoch: [21][2440/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 2.6276 (2.5940) Prec@1 33.125 (36.996) Prec@5 71.875 (67.766) Epoch: [21][2450/11272] Time 0.860 (0.812) Data 0.001 (0.002) Loss 2.6525 (2.5940) Prec@1 36.250 (36.989) Prec@5 66.875 (67.766) Epoch: [21][2460/11272] Time 0.839 (0.812) Data 0.001 (0.002) Loss 2.5494 (2.5940) Prec@1 37.500 (36.988) Prec@5 63.750 (67.766) Epoch: [21][2470/11272] Time 0.746 (0.812) Data 0.001 (0.002) Loss 2.8153 (2.5940) Prec@1 34.375 (36.990) Prec@5 63.125 (67.768) Epoch: [21][2480/11272] Time 0.730 (0.812) Data 0.001 (0.002) Loss 2.6698 (2.5938) Prec@1 35.000 (36.988) Prec@5 66.250 (67.768) Epoch: [21][2490/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 2.9729 (2.5942) Prec@1 30.625 (36.982) Prec@5 63.750 (67.763) Epoch: [21][2500/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.7731 (2.5945) Prec@1 38.750 (36.978) Prec@5 60.000 (67.753) Epoch: [21][2510/11272] Time 0.730 (0.812) Data 0.001 (0.002) Loss 2.4459 (2.5946) Prec@1 35.000 (36.976) Prec@5 71.875 (67.749) Epoch: [21][2520/11272] Time 0.724 (0.812) Data 0.001 (0.002) Loss 2.4548 (2.5948) Prec@1 41.875 (36.970) Prec@5 70.625 (67.746) Epoch: [21][2530/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 2.7974 (2.5945) Prec@1 36.250 (36.977) Prec@5 60.000 (67.752) Epoch: [21][2540/11272] Time 0.946 (0.812) Data 0.003 (0.002) Loss 2.6029 (2.5945) Prec@1 35.000 (36.978) Prec@5 65.625 (67.751) Epoch: [21][2550/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 2.7891 (2.5950) Prec@1 36.875 (36.973) Prec@5 63.750 (67.743) Epoch: [21][2560/11272] Time 0.775 (0.812) Data 0.001 (0.002) Loss 2.8439 (2.5950) Prec@1 30.000 (36.966) Prec@5 60.625 (67.741) Epoch: [21][2570/11272] Time 0.831 (0.812) Data 0.001 (0.002) Loss 2.5240 (2.5950) Prec@1 36.875 (36.965) Prec@5 71.250 (67.745) Epoch: [21][2580/11272] Time 0.867 (0.812) Data 0.002 (0.002) Loss 2.2597 (2.5952) Prec@1 45.625 (36.959) Prec@5 76.875 (67.745) Epoch: [21][2590/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.8929 (2.5952) Prec@1 27.500 (36.957) Prec@5 58.750 (67.743) Epoch: [21][2600/11272] Time 0.912 (0.812) Data 0.002 (0.002) Loss 2.5954 (2.5954) Prec@1 32.500 (36.948) Prec@5 66.875 (67.739) Epoch: [21][2610/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.4881 (2.5955) Prec@1 36.875 (36.948) Prec@5 71.250 (67.739) Epoch: [21][2620/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.6412 (2.5954) Prec@1 33.750 (36.950) Prec@5 65.000 (67.736) Epoch: [21][2630/11272] Time 0.732 (0.812) Data 0.002 (0.002) Loss 2.7418 (2.5954) Prec@1 31.250 (36.951) Prec@5 64.375 (67.734) Epoch: [21][2640/11272] Time 0.890 (0.812) Data 0.002 (0.002) Loss 2.6232 (2.5955) Prec@1 35.000 (36.950) Prec@5 68.125 (67.731) Epoch: [21][2650/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.4728 (2.5955) Prec@1 35.000 (36.947) Prec@5 68.750 (67.731) Epoch: [21][2660/11272] Time 0.743 (0.812) Data 0.001 (0.002) Loss 2.6698 (2.5956) Prec@1 31.250 (36.941) Prec@5 66.250 (67.728) Epoch: [21][2670/11272] Time 0.778 (0.812) Data 0.002 (0.002) Loss 2.8791 (2.5954) Prec@1 30.625 (36.945) Prec@5 63.125 (67.732) Epoch: [21][2680/11272] Time 0.844 (0.812) Data 0.001 (0.002) Loss 2.4419 (2.5954) Prec@1 43.750 (36.945) Prec@5 69.375 (67.735) Epoch: [21][2690/11272] Time 0.874 (0.812) Data 0.002 (0.002) Loss 2.5763 (2.5954) Prec@1 36.875 (36.943) Prec@5 65.625 (67.732) Epoch: [21][2700/11272] Time 0.703 (0.812) Data 0.001 (0.002) Loss 2.6753 (2.5954) Prec@1 37.500 (36.945) Prec@5 65.000 (67.735) Epoch: [21][2710/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.8652 (2.5954) Prec@1 30.625 (36.945) Prec@5 63.750 (67.736) Epoch: [21][2720/11272] Time 0.950 (0.812) Data 0.002 (0.002) Loss 2.5647 (2.5955) Prec@1 34.375 (36.938) Prec@5 63.125 (67.734) Epoch: [21][2730/11272] Time 0.697 (0.812) Data 0.002 (0.002) Loss 2.6756 (2.5955) Prec@1 36.250 (36.936) Prec@5 65.625 (67.731) Epoch: [21][2740/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.5985 (2.5957) Prec@1 38.750 (36.934) Prec@5 70.000 (67.725) Epoch: [21][2750/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.5956 (2.5957) Prec@1 38.125 (36.937) Prec@5 69.375 (67.722) Epoch: [21][2760/11272] Time 0.923 (0.812) Data 0.002 (0.002) Loss 2.8362 (2.5959) Prec@1 31.250 (36.935) Prec@5 62.500 (67.719) Epoch: [21][2770/11272] Time 0.743 (0.812) Data 0.001 (0.002) Loss 2.5867 (2.5959) Prec@1 38.125 (36.930) Prec@5 64.375 (67.715) Epoch: [21][2780/11272] Time 0.727 (0.812) Data 0.002 (0.002) Loss 2.5932 (2.5958) Prec@1 37.500 (36.936) Prec@5 66.875 (67.715) Epoch: [21][2790/11272] Time 0.896 (0.812) Data 0.002 (0.002) Loss 2.6860 (2.5955) Prec@1 34.375 (36.945) Prec@5 70.000 (67.721) Epoch: [21][2800/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.6974 (2.5954) Prec@1 30.625 (36.945) Prec@5 64.375 (67.722) Epoch: [21][2810/11272] Time 0.752 (0.812) Data 0.001 (0.002) Loss 2.6122 (2.5954) Prec@1 37.500 (36.940) Prec@5 68.750 (67.722) Epoch: [21][2820/11272] Time 0.766 (0.812) Data 0.002 (0.002) Loss 2.4219 (2.5953) Prec@1 41.250 (36.938) Prec@5 72.500 (67.726) Epoch: [21][2830/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.7146 (2.5957) Prec@1 36.875 (36.931) Prec@5 68.125 (67.722) Epoch: [21][2840/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.5964 (2.5958) Prec@1 36.875 (36.927) Prec@5 63.750 (67.716) Epoch: [21][2850/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.8514 (2.5959) Prec@1 33.125 (36.923) Prec@5 64.375 (67.712) Epoch: [21][2860/11272] Time 0.840 (0.812) Data 0.001 (0.002) Loss 2.6669 (2.5957) Prec@1 30.625 (36.924) Prec@5 67.500 (67.714) Epoch: [21][2870/11272] Time 0.874 (0.812) Data 0.002 (0.002) Loss 2.3133 (2.5960) Prec@1 41.250 (36.918) Prec@5 72.500 (67.709) Epoch: [21][2880/11272] Time 0.726 (0.812) Data 0.001 (0.002) Loss 2.6326 (2.5958) Prec@1 36.250 (36.921) Prec@5 65.625 (67.712) Epoch: [21][2890/11272] Time 0.720 (0.812) Data 0.002 (0.002) Loss 2.4366 (2.5957) Prec@1 38.750 (36.923) Prec@5 70.000 (67.717) Epoch: [21][2900/11272] Time 0.894 (0.812) Data 0.002 (0.002) Loss 2.2228 (2.5955) Prec@1 44.375 (36.931) Prec@5 74.375 (67.722) Epoch: [21][2910/11272] Time 0.862 (0.812) Data 0.002 (0.002) Loss 2.4025 (2.5955) Prec@1 39.375 (36.929) Prec@5 71.250 (67.723) Epoch: [21][2920/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.7473 (2.5956) Prec@1 37.500 (36.929) Prec@5 65.000 (67.717) Epoch: [21][2930/11272] Time 0.742 (0.812) Data 0.001 (0.002) Loss 2.5239 (2.5956) Prec@1 41.250 (36.933) Prec@5 70.625 (67.717) Epoch: [21][2940/11272] Time 0.900 (0.812) Data 0.001 (0.002) Loss 2.9175 (2.5958) Prec@1 35.000 (36.934) Prec@5 59.375 (67.715) Epoch: [21][2950/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 2.7032 (2.5962) Prec@1 34.375 (36.927) Prec@5 68.125 (67.708) Epoch: [21][2960/11272] Time 0.739 (0.812) Data 0.001 (0.002) Loss 2.6890 (2.5963) Prec@1 35.000 (36.927) Prec@5 65.625 (67.705) Epoch: [21][2970/11272] Time 0.719 (0.812) Data 0.001 (0.002) Loss 2.5162 (2.5960) Prec@1 34.375 (36.930) Prec@5 67.500 (67.710) Epoch: [21][2980/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 2.5721 (2.5963) Prec@1 39.375 (36.927) Prec@5 69.375 (67.704) Epoch: [21][2990/11272] Time 0.764 (0.812) Data 0.003 (0.002) Loss 2.6520 (2.5965) Prec@1 36.250 (36.922) Prec@5 65.625 (67.703) Epoch: [21][3000/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.7144 (2.5963) Prec@1 33.750 (36.925) Prec@5 66.250 (67.704) Epoch: [21][3010/11272] Time 0.869 (0.812) Data 0.002 (0.002) Loss 2.5283 (2.5962) Prec@1 36.875 (36.926) Prec@5 66.875 (67.705) Epoch: [21][3020/11272] Time 0.898 (0.812) Data 0.002 (0.002) Loss 2.3623 (2.5960) Prec@1 39.375 (36.933) Prec@5 71.875 (67.707) Epoch: [21][3030/11272] Time 0.758 (0.812) Data 0.002 (0.002) Loss 2.6887 (2.5957) Prec@1 36.250 (36.935) Prec@5 65.625 (67.716) Epoch: [21][3040/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.5014 (2.5957) Prec@1 41.875 (36.936) Prec@5 73.125 (67.718) Epoch: [21][3050/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 2.4562 (2.5958) Prec@1 41.250 (36.932) Prec@5 73.125 (67.717) Epoch: [21][3060/11272] Time 0.902 (0.812) Data 0.002 (0.002) Loss 2.4410 (2.5958) Prec@1 45.000 (36.931) Prec@5 67.500 (67.716) Epoch: [21][3070/11272] Time 0.725 (0.812) Data 0.002 (0.002) Loss 2.5242 (2.5959) Prec@1 39.375 (36.929) Prec@5 64.375 (67.711) Epoch: [21][3080/11272] Time 0.749 (0.812) Data 0.001 (0.002) Loss 2.5248 (2.5960) Prec@1 38.750 (36.929) Prec@5 67.500 (67.706) Epoch: [21][3090/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.3621 (2.5959) Prec@1 42.500 (36.929) Prec@5 71.250 (67.710) Epoch: [21][3100/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.7642 (2.5960) Prec@1 31.250 (36.930) Prec@5 64.375 (67.708) Epoch: [21][3110/11272] Time 0.720 (0.812) Data 0.001 (0.002) Loss 2.6323 (2.5962) Prec@1 36.250 (36.925) Prec@5 66.875 (67.706) Epoch: [21][3120/11272] Time 0.901 (0.812) Data 0.001 (0.002) Loss 2.7212 (2.5964) Prec@1 30.625 (36.919) Prec@5 65.625 (67.703) Epoch: [21][3130/11272] Time 0.852 (0.812) Data 0.001 (0.002) Loss 2.6710 (2.5963) Prec@1 35.625 (36.916) Prec@5 68.125 (67.705) Epoch: [21][3140/11272] Time 0.767 (0.812) Data 0.002 (0.002) Loss 2.4495 (2.5963) Prec@1 38.125 (36.918) Prec@5 70.000 (67.707) Epoch: [21][3150/11272] Time 0.729 (0.812) Data 0.001 (0.002) Loss 2.8786 (2.5965) Prec@1 30.625 (36.915) Prec@5 61.875 (67.705) Epoch: [21][3160/11272] Time 0.876 (0.812) Data 0.001 (0.002) Loss 2.3872 (2.5965) Prec@1 40.000 (36.916) Prec@5 72.500 (67.707) Epoch: [21][3170/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.4336 (2.5964) Prec@1 37.500 (36.923) Prec@5 73.125 (67.708) Epoch: [21][3180/11272] Time 0.742 (0.812) Data 0.001 (0.002) Loss 2.5632 (2.5963) Prec@1 38.750 (36.925) Prec@5 69.375 (67.706) Epoch: [21][3190/11272] Time 0.777 (0.812) Data 0.002 (0.002) Loss 2.5847 (2.5961) Prec@1 38.125 (36.929) Prec@5 65.625 (67.708) Epoch: [21][3200/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.4587 (2.5960) Prec@1 43.125 (36.932) Prec@5 68.125 (67.706) Epoch: [21][3210/11272] Time 0.874 (0.812) Data 0.001 (0.002) Loss 2.5717 (2.5961) Prec@1 35.000 (36.929) Prec@5 68.750 (67.704) Epoch: [21][3220/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.6406 (2.5961) Prec@1 33.125 (36.924) Prec@5 68.125 (67.704) Epoch: [21][3230/11272] Time 0.726 (0.812) Data 0.001 (0.002) Loss 2.4879 (2.5960) Prec@1 38.750 (36.929) Prec@5 68.125 (67.701) Epoch: [21][3240/11272] Time 0.855 (0.812) Data 0.001 (0.002) Loss 2.5253 (2.5959) Prec@1 41.875 (36.931) Prec@5 67.500 (67.704) Epoch: [21][3250/11272] Time 0.715 (0.812) Data 0.002 (0.002) Loss 2.8397 (2.5960) Prec@1 30.625 (36.929) Prec@5 62.500 (67.701) Epoch: [21][3260/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 2.8036 (2.5961) Prec@1 35.000 (36.929) Prec@5 61.250 (67.699) Epoch: [21][3270/11272] Time 0.920 (0.812) Data 0.002 (0.002) Loss 2.5864 (2.5963) Prec@1 37.500 (36.926) Prec@5 70.000 (67.691) Epoch: [21][3280/11272] Time 0.881 (0.812) Data 0.002 (0.002) Loss 2.4123 (2.5964) Prec@1 40.000 (36.924) Prec@5 71.875 (67.691) Epoch: [21][3290/11272] Time 0.755 (0.812) Data 0.001 (0.002) Loss 2.6947 (2.5964) Prec@1 31.875 (36.923) Prec@5 61.250 (67.690) Epoch: [21][3300/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.6557 (2.5965) Prec@1 33.125 (36.922) Prec@5 63.125 (67.689) Epoch: [21][3310/11272] Time 0.904 (0.812) Data 0.002 (0.002) Loss 2.8376 (2.5964) Prec@1 28.750 (36.925) Prec@5 64.375 (67.690) Epoch: [21][3320/11272] Time 0.829 (0.812) Data 0.001 (0.002) Loss 2.9280 (2.5965) Prec@1 34.375 (36.924) Prec@5 58.125 (67.690) Epoch: [21][3330/11272] Time 0.748 (0.812) Data 0.002 (0.002) Loss 2.4826 (2.5965) Prec@1 40.625 (36.924) Prec@5 68.750 (67.687) Epoch: [21][3340/11272] Time 0.723 (0.812) Data 0.001 (0.002) Loss 2.3582 (2.5963) Prec@1 41.250 (36.931) Prec@5 72.500 (67.691) Epoch: [21][3350/11272] Time 0.877 (0.812) Data 0.002 (0.002) Loss 2.7300 (2.5964) Prec@1 33.750 (36.930) Prec@5 65.000 (67.689) Epoch: [21][3360/11272] Time 0.843 (0.812) Data 0.002 (0.002) Loss 2.3540 (2.5963) Prec@1 43.750 (36.938) Prec@5 71.250 (67.689) Epoch: [21][3370/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.4999 (2.5965) Prec@1 42.500 (36.934) Prec@5 74.375 (67.687) Epoch: [21][3380/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.8161 (2.5965) Prec@1 33.125 (36.937) Prec@5 65.000 (67.688) Epoch: [21][3390/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.3093 (2.5965) Prec@1 41.250 (36.935) Prec@5 75.625 (67.691) Epoch: [21][3400/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.6384 (2.5964) Prec@1 38.125 (36.940) Prec@5 65.625 (67.691) Epoch: [21][3410/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.7148 (2.5963) Prec@1 30.000 (36.940) Prec@5 66.250 (67.691) Epoch: [21][3420/11272] Time 0.898 (0.812) Data 0.002 (0.002) Loss 2.8211 (2.5964) Prec@1 32.500 (36.937) Prec@5 63.750 (67.691) Epoch: [21][3430/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.7424 (2.5968) Prec@1 36.250 (36.931) Prec@5 65.000 (67.683) Epoch: [21][3440/11272] Time 0.736 (0.812) Data 0.001 (0.002) Loss 3.0099 (2.5969) Prec@1 31.250 (36.924) Prec@5 59.375 (67.677) Epoch: [21][3450/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.4727 (2.5968) Prec@1 36.250 (36.926) Prec@5 69.375 (67.677) Epoch: [21][3460/11272] Time 0.881 (0.812) Data 0.002 (0.002) Loss 2.5965 (2.5969) Prec@1 35.000 (36.927) Prec@5 71.250 (67.672) Epoch: [21][3470/11272] Time 0.840 (0.812) Data 0.001 (0.002) Loss 2.5984 (2.5969) Prec@1 38.750 (36.919) Prec@5 69.375 (67.673) Epoch: [21][3480/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.5723 (2.5970) Prec@1 36.875 (36.916) Prec@5 66.875 (67.671) Epoch: [21][3490/11272] Time 0.713 (0.812) Data 0.001 (0.002) Loss 2.4368 (2.5970) Prec@1 35.625 (36.913) Prec@5 68.750 (67.667) Epoch: [21][3500/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 2.6087 (2.5969) Prec@1 35.625 (36.911) Prec@5 70.625 (67.669) Epoch: [21][3510/11272] Time 0.834 (0.812) Data 0.001 (0.002) Loss 2.5255 (2.5971) Prec@1 39.375 (36.904) Prec@5 70.625 (67.669) Epoch: [21][3520/11272] Time 0.721 (0.812) Data 0.001 (0.002) Loss 2.5649 (2.5973) Prec@1 43.125 (36.903) Prec@5 70.000 (67.670) Epoch: [21][3530/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.6909 (2.5972) Prec@1 32.500 (36.902) Prec@5 63.125 (67.671) Epoch: [21][3540/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.7219 (2.5973) Prec@1 36.250 (36.899) Prec@5 64.375 (67.672) Epoch: [21][3550/11272] Time 0.733 (0.811) Data 0.001 (0.002) Loss 2.9097 (2.5973) Prec@1 28.125 (36.897) Prec@5 63.750 (67.677) Epoch: [21][3560/11272] Time 0.771 (0.811) Data 0.002 (0.002) Loss 2.4649 (2.5972) Prec@1 39.375 (36.897) Prec@5 71.250 (67.678) Epoch: [21][3570/11272] Time 0.885 (0.811) Data 0.002 (0.002) Loss 2.6395 (2.5971) Prec@1 30.625 (36.900) Prec@5 62.500 (67.680) Epoch: [21][3580/11272] Time 0.878 (0.811) Data 0.002 (0.002) Loss 2.5290 (2.5971) Prec@1 38.750 (36.900) Prec@5 66.875 (67.682) Epoch: [21][3590/11272] Time 0.743 (0.811) Data 0.001 (0.002) Loss 2.2861 (2.5969) Prec@1 41.875 (36.905) Prec@5 70.000 (67.687) Epoch: [21][3600/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.5875 (2.5968) Prec@1 36.875 (36.907) Prec@5 66.875 (67.689) Epoch: [21][3610/11272] Time 0.914 (0.811) Data 0.002 (0.002) Loss 2.4972 (2.5968) Prec@1 34.375 (36.902) Prec@5 69.375 (67.694) Epoch: [21][3620/11272] Time 0.844 (0.811) Data 0.001 (0.002) Loss 2.3623 (2.5966) Prec@1 42.500 (36.903) Prec@5 70.000 (67.698) Epoch: [21][3630/11272] Time 0.749 (0.811) Data 0.002 (0.002) Loss 2.5707 (2.5964) Prec@1 39.375 (36.908) Prec@5 67.500 (67.701) Epoch: [21][3640/11272] Time 0.722 (0.811) Data 0.001 (0.002) Loss 2.7711 (2.5963) Prec@1 31.875 (36.910) Prec@5 65.625 (67.701) Epoch: [21][3650/11272] Time 0.929 (0.811) Data 0.002 (0.002) Loss 2.4319 (2.5962) Prec@1 40.625 (36.909) Prec@5 70.000 (67.704) Epoch: [21][3660/11272] Time 0.728 (0.811) Data 0.001 (0.002) Loss 2.5709 (2.5962) Prec@1 36.250 (36.908) Prec@5 68.125 (67.704) Epoch: [21][3670/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 2.5847 (2.5961) Prec@1 38.750 (36.910) Prec@5 71.250 (67.707) Epoch: [21][3680/11272] Time 0.871 (0.811) Data 0.002 (0.002) Loss 2.6987 (2.5963) Prec@1 35.000 (36.903) Prec@5 65.625 (67.701) Epoch: [21][3690/11272] Time 0.873 (0.811) Data 0.002 (0.002) Loss 2.4487 (2.5964) Prec@1 39.375 (36.901) Prec@5 69.375 (67.701) Epoch: [21][3700/11272] Time 0.709 (0.811) Data 0.001 (0.002) Loss 2.5091 (2.5965) Prec@1 33.125 (36.897) Prec@5 72.500 (67.694) Epoch: [21][3710/11272] Time 0.747 (0.811) Data 0.001 (0.002) Loss 2.6227 (2.5964) Prec@1 39.375 (36.897) Prec@5 65.625 (67.694) Epoch: [21][3720/11272] Time 0.929 (0.811) Data 0.002 (0.002) Loss 2.5444 (2.5966) Prec@1 39.375 (36.890) Prec@5 71.250 (67.694) Epoch: [21][3730/11272] Time 0.901 (0.811) Data 0.002 (0.002) Loss 2.5890 (2.5965) Prec@1 36.875 (36.892) Prec@5 68.125 (67.694) Epoch: [21][3740/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.9668 (2.5968) Prec@1 28.750 (36.892) Prec@5 60.625 (67.688) Epoch: [21][3750/11272] Time 0.725 (0.811) Data 0.001 (0.002) Loss 2.7906 (2.5969) Prec@1 32.500 (36.886) Prec@5 60.625 (67.683) Epoch: [21][3760/11272] Time 0.896 (0.811) Data 0.002 (0.002) Loss 2.6423 (2.5970) Prec@1 38.125 (36.887) Prec@5 66.250 (67.682) Epoch: [21][3770/11272] Time 0.822 (0.811) Data 0.002 (0.002) Loss 2.3737 (2.5968) Prec@1 36.875 (36.893) Prec@5 72.500 (67.690) Epoch: [21][3780/11272] Time 0.728 (0.811) Data 0.001 (0.002) Loss 2.6448 (2.5967) Prec@1 35.000 (36.889) Prec@5 67.500 (67.693) Epoch: [21][3790/11272] Time 0.811 (0.811) Data 0.001 (0.002) Loss 2.4558 (2.5966) Prec@1 40.625 (36.890) Prec@5 70.000 (67.694) Epoch: [21][3800/11272] Time 0.874 (0.811) Data 0.002 (0.002) Loss 2.5338 (2.5964) Prec@1 39.375 (36.893) Prec@5 72.500 (67.699) Epoch: [21][3810/11272] Time 0.752 (0.811) Data 0.002 (0.002) Loss 2.5456 (2.5965) Prec@1 38.750 (36.890) Prec@5 68.125 (67.701) Epoch: [21][3820/11272] Time 0.746 (0.811) Data 0.001 (0.002) Loss 2.6012 (2.5965) Prec@1 37.500 (36.889) Prec@5 66.250 (67.700) Epoch: [21][3830/11272] Time 0.857 (0.811) Data 0.002 (0.002) Loss 2.5188 (2.5964) Prec@1 41.250 (36.891) Prec@5 69.375 (67.701) Epoch: [21][3840/11272] Time 0.901 (0.811) Data 0.002 (0.002) Loss 2.6121 (2.5964) Prec@1 38.125 (36.888) Prec@5 65.000 (67.700) Epoch: [21][3850/11272] Time 0.788 (0.811) Data 0.002 (0.002) Loss 2.7108 (2.5962) Prec@1 37.500 (36.895) Prec@5 65.625 (67.705) Epoch: [21][3860/11272] Time 0.754 (0.811) Data 0.002 (0.002) Loss 2.4543 (2.5962) Prec@1 40.625 (36.894) Prec@5 68.750 (67.702) Epoch: [21][3870/11272] Time 0.888 (0.811) Data 0.001 (0.002) Loss 2.7197 (2.5966) Prec@1 29.375 (36.889) Prec@5 65.000 (67.698) Epoch: [21][3880/11272] Time 0.865 (0.811) Data 0.001 (0.002) Loss 2.4473 (2.5966) Prec@1 37.500 (36.887) Prec@5 67.500 (67.696) Epoch: [21][3890/11272] Time 0.735 (0.811) Data 0.001 (0.002) Loss 2.6557 (2.5965) Prec@1 37.500 (36.887) Prec@5 66.250 (67.696) Epoch: [21][3900/11272] Time 0.740 (0.811) Data 0.001 (0.002) Loss 2.7134 (2.5965) Prec@1 34.375 (36.889) Prec@5 65.000 (67.698) Epoch: [21][3910/11272] Time 0.875 (0.811) Data 0.002 (0.002) Loss 2.8442 (2.5965) Prec@1 31.875 (36.889) Prec@5 65.000 (67.696) Epoch: [21][3920/11272] Time 0.745 (0.811) Data 0.003 (0.002) Loss 2.7468 (2.5967) Prec@1 32.500 (36.885) Prec@5 63.125 (67.690) Epoch: [21][3930/11272] Time 0.725 (0.811) Data 0.001 (0.002) Loss 2.3952 (2.5968) Prec@1 43.125 (36.881) Prec@5 68.750 (67.687) Epoch: [21][3940/11272] Time 0.871 (0.811) Data 0.002 (0.002) Loss 2.7758 (2.5969) Prec@1 36.875 (36.883) Prec@5 65.000 (67.685) Epoch: [21][3950/11272] Time 0.842 (0.811) Data 0.001 (0.002) Loss 2.4567 (2.5969) Prec@1 37.500 (36.882) Prec@5 67.500 (67.683) Epoch: [21][3960/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.4232 (2.5967) Prec@1 37.500 (36.881) Prec@5 70.625 (67.688) Epoch: [21][3970/11272] Time 0.741 (0.811) Data 0.001 (0.002) Loss 2.4755 (2.5967) Prec@1 39.375 (36.880) Prec@5 67.500 (67.688) Epoch: [21][3980/11272] Time 0.914 (0.811) Data 0.002 (0.002) Loss 2.7424 (2.5968) Prec@1 35.000 (36.880) Prec@5 62.500 (67.687) Epoch: [21][3990/11272] Time 0.855 (0.811) Data 0.001 (0.002) Loss 2.6065 (2.5966) Prec@1 35.000 (36.883) Prec@5 68.750 (67.694) Epoch: [21][4000/11272] Time 0.741 (0.811) Data 0.002 (0.002) Loss 2.7567 (2.5969) Prec@1 34.375 (36.877) Prec@5 66.875 (67.687) Epoch: [21][4010/11272] Time 0.718 (0.811) Data 0.001 (0.002) Loss 2.6832 (2.5969) Prec@1 33.125 (36.876) Prec@5 66.250 (67.688) Epoch: [21][4020/11272] Time 0.855 (0.811) Data 0.002 (0.002) Loss 3.0032 (2.5971) Prec@1 30.625 (36.873) Prec@5 63.125 (67.686) Epoch: [21][4030/11272] Time 0.901 (0.811) Data 0.002 (0.002) Loss 2.8815 (2.5974) Prec@1 33.125 (36.868) Prec@5 62.500 (67.680) Epoch: [21][4040/11272] Time 0.769 (0.811) Data 0.002 (0.002) Loss 2.5564 (2.5975) Prec@1 32.500 (36.870) Prec@5 67.500 (67.680) Epoch: [21][4050/11272] Time 0.872 (0.811) Data 0.001 (0.002) Loss 2.7326 (2.5975) Prec@1 32.500 (36.871) Prec@5 64.375 (67.680) Epoch: [21][4060/11272] Time 0.877 (0.811) Data 0.002 (0.002) Loss 2.4427 (2.5974) Prec@1 37.500 (36.867) Prec@5 70.000 (67.680) Epoch: [21][4070/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 2.8226 (2.5976) Prec@1 35.000 (36.869) Prec@5 66.875 (67.679) Epoch: [21][4080/11272] Time 0.735 (0.811) Data 0.001 (0.002) Loss 2.5197 (2.5974) Prec@1 38.750 (36.873) Prec@5 71.250 (67.681) Epoch: [21][4090/11272] Time 0.850 (0.811) Data 0.001 (0.002) Loss 2.6461 (2.5975) Prec@1 30.000 (36.868) Prec@5 68.750 (67.680) Epoch: [21][4100/11272] Time 0.843 (0.811) Data 0.001 (0.002) Loss 2.6091 (2.5976) Prec@1 34.375 (36.867) Prec@5 69.375 (67.677) Epoch: [21][4110/11272] Time 0.740 (0.811) Data 0.001 (0.002) Loss 2.6901 (2.5976) Prec@1 35.625 (36.868) Prec@5 65.625 (67.682) Epoch: [21][4120/11272] Time 0.721 (0.811) Data 0.001 (0.002) Loss 2.2374 (2.5976) Prec@1 41.875 (36.867) Prec@5 75.625 (67.682) Epoch: [21][4130/11272] Time 0.829 (0.811) Data 0.001 (0.002) Loss 2.6851 (2.5976) Prec@1 36.875 (36.871) Prec@5 70.000 (67.684) Epoch: [21][4140/11272] Time 0.871 (0.811) Data 0.002 (0.002) Loss 2.7926 (2.5977) Prec@1 30.625 (36.869) Prec@5 64.375 (67.681) Epoch: [21][4150/11272] Time 0.750 (0.811) Data 0.001 (0.002) Loss 2.4699 (2.5975) Prec@1 37.500 (36.874) Prec@5 71.250 (67.685) Epoch: [21][4160/11272] Time 0.733 (0.811) Data 0.001 (0.002) Loss 2.6142 (2.5978) Prec@1 35.000 (36.869) Prec@5 66.875 (67.681) Epoch: [21][4170/11272] Time 0.849 (0.811) Data 0.002 (0.002) Loss 2.6282 (2.5977) Prec@1 33.750 (36.870) Prec@5 65.625 (67.680) Epoch: [21][4180/11272] Time 0.772 (0.811) Data 0.003 (0.002) Loss 2.5057 (2.5977) Prec@1 37.500 (36.871) Prec@5 68.750 (67.679) Epoch: [21][4190/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.3755 (2.5976) Prec@1 44.375 (36.871) Prec@5 68.750 (67.683) Epoch: [21][4200/11272] Time 0.921 (0.811) Data 0.002 (0.002) Loss 2.5855 (2.5975) Prec@1 32.500 (36.872) Prec@5 71.250 (67.684) Epoch: [21][4210/11272] Time 0.846 (0.811) Data 0.002 (0.002) Loss 2.7453 (2.5976) Prec@1 30.625 (36.867) Prec@5 62.500 (67.678) Epoch: [21][4220/11272] Time 0.765 (0.811) Data 0.002 (0.002) Loss 2.5555 (2.5976) Prec@1 44.375 (36.869) Prec@5 66.250 (67.676) Epoch: [21][4230/11272] Time 0.745 (0.811) Data 0.002 (0.002) Loss 2.8193 (2.5976) Prec@1 31.250 (36.868) Prec@5 64.375 (67.679) Epoch: [21][4240/11272] Time 0.867 (0.811) Data 0.001 (0.002) Loss 2.6185 (2.5976) Prec@1 33.750 (36.872) Prec@5 66.875 (67.682) Epoch: [21][4250/11272] Time 0.919 (0.811) Data 0.002 (0.002) Loss 2.7517 (2.5976) Prec@1 35.000 (36.873) Prec@5 65.000 (67.683) Epoch: [21][4260/11272] Time 0.735 (0.811) Data 0.001 (0.002) Loss 2.4293 (2.5976) Prec@1 37.500 (36.871) Prec@5 70.000 (67.684) Epoch: [21][4270/11272] Time 0.726 (0.811) Data 0.002 (0.002) Loss 2.6632 (2.5976) Prec@1 33.125 (36.869) Prec@5 62.500 (67.682) Epoch: [21][4280/11272] Time 0.864 (0.811) Data 0.002 (0.002) Loss 2.5049 (2.5975) Prec@1 39.375 (36.870) Prec@5 71.875 (67.683) Epoch: [21][4290/11272] Time 0.893 (0.811) Data 0.002 (0.002) Loss 2.4491 (2.5974) Prec@1 42.500 (36.872) Prec@5 69.375 (67.685) Epoch: [21][4300/11272] Time 0.723 (0.811) Data 0.001 (0.002) Loss 2.6197 (2.5974) Prec@1 35.000 (36.868) Prec@5 69.375 (67.686) Epoch: [21][4310/11272] Time 0.849 (0.811) Data 0.001 (0.002) Loss 2.4787 (2.5975) Prec@1 43.750 (36.870) Prec@5 71.875 (67.689) Epoch: [21][4320/11272] Time 0.891 (0.811) Data 0.001 (0.002) Loss 2.6322 (2.5976) Prec@1 36.875 (36.868) Prec@5 61.875 (67.686) Epoch: [21][4330/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.7551 (2.5977) Prec@1 34.375 (36.866) Prec@5 69.375 (67.682) Epoch: [21][4340/11272] Time 0.728 (0.811) Data 0.001 (0.002) Loss 2.6886 (2.5978) Prec@1 35.000 (36.868) Prec@5 66.250 (67.680) Epoch: [21][4350/11272] Time 0.882 (0.811) Data 0.002 (0.002) Loss 2.3443 (2.5976) Prec@1 40.625 (36.872) Prec@5 75.625 (67.683) Epoch: [21][4360/11272] Time 0.864 (0.811) Data 0.001 (0.002) Loss 2.5434 (2.5975) Prec@1 40.000 (36.876) Prec@5 69.375 (67.684) Epoch: [21][4370/11272] Time 0.737 (0.811) Data 0.001 (0.002) Loss 2.5181 (2.5974) Prec@1 41.250 (36.881) Prec@5 70.625 (67.686) Epoch: [21][4380/11272] Time 0.763 (0.811) Data 0.002 (0.002) Loss 2.6334 (2.5974) Prec@1 38.125 (36.882) Prec@5 66.250 (67.685) Epoch: [21][4390/11272] Time 0.837 (0.811) Data 0.002 (0.002) Loss 2.7661 (2.5974) Prec@1 36.250 (36.882) Prec@5 64.375 (67.687) Epoch: [21][4400/11272] Time 0.864 (0.811) Data 0.002 (0.002) Loss 2.5199 (2.5976) Prec@1 40.625 (36.878) Prec@5 71.250 (67.684) Epoch: [21][4410/11272] Time 0.760 (0.811) Data 0.001 (0.002) Loss 2.5135 (2.5977) Prec@1 44.375 (36.881) Prec@5 69.375 (67.681) Epoch: [21][4420/11272] Time 0.740 (0.811) Data 0.001 (0.002) Loss 2.7907 (2.5978) Prec@1 30.625 (36.877) Prec@5 66.250 (67.679) Epoch: [21][4430/11272] Time 0.882 (0.811) Data 0.002 (0.002) Loss 2.4497 (2.5977) Prec@1 40.000 (36.880) Prec@5 66.250 (67.678) Epoch: [21][4440/11272] Time 0.867 (0.811) Data 0.002 (0.002) Loss 2.7334 (2.5978) Prec@1 35.000 (36.879) Prec@5 63.125 (67.674) Epoch: [21][4450/11272] Time 0.736 (0.811) Data 0.001 (0.002) Loss 2.6928 (2.5979) Prec@1 37.500 (36.875) Prec@5 63.125 (67.670) Epoch: [21][4460/11272] Time 0.874 (0.811) Data 0.002 (0.002) Loss 2.6131 (2.5980) Prec@1 36.250 (36.874) Prec@5 66.250 (67.669) Epoch: [21][4470/11272] Time 0.858 (0.811) Data 0.002 (0.002) Loss 2.7998 (2.5982) Prec@1 30.000 (36.868) Prec@5 65.000 (67.668) Epoch: [21][4480/11272] Time 0.725 (0.811) Data 0.002 (0.002) Loss 2.8123 (2.5981) Prec@1 35.000 (36.866) Prec@5 61.250 (67.670) Epoch: [21][4490/11272] Time 0.746 (0.811) Data 0.001 (0.002) Loss 2.6275 (2.5980) Prec@1 33.750 (36.867) Prec@5 67.500 (67.673) Epoch: [21][4500/11272] Time 0.865 (0.811) Data 0.002 (0.002) Loss 2.6152 (2.5980) Prec@1 38.750 (36.865) Prec@5 66.875 (67.673) Epoch: [21][4510/11272] Time 0.891 (0.811) Data 0.001 (0.002) Loss 2.6995 (2.5982) Prec@1 33.750 (36.860) Prec@5 61.250 (67.668) Epoch: [21][4520/11272] Time 0.737 (0.811) Data 0.003 (0.002) Loss 2.6197 (2.5984) Prec@1 37.500 (36.856) Prec@5 68.750 (67.664) Epoch: [21][4530/11272] Time 0.751 (0.811) Data 0.002 (0.002) Loss 2.6875 (2.5986) Prec@1 31.250 (36.853) Prec@5 68.125 (67.658) Epoch: [21][4540/11272] Time 0.915 (0.811) Data 0.002 (0.002) Loss 2.5707 (2.5985) Prec@1 35.625 (36.852) Prec@5 65.000 (67.659) Epoch: [21][4550/11272] Time 0.914 (0.811) Data 0.003 (0.002) Loss 2.7201 (2.5986) Prec@1 31.875 (36.848) Prec@5 64.375 (67.654) Epoch: [21][4560/11272] Time 0.732 (0.811) Data 0.001 (0.002) Loss 2.4493 (2.5985) Prec@1 38.125 (36.851) Prec@5 68.750 (67.653) Epoch: [21][4570/11272] Time 0.748 (0.811) Data 0.002 (0.002) Loss 2.9213 (2.5986) Prec@1 30.625 (36.852) Prec@5 60.000 (67.651) Epoch: [21][4580/11272] Time 0.904 (0.811) Data 0.001 (0.002) Loss 2.4822 (2.5987) Prec@1 42.500 (36.850) Prec@5 73.125 (67.652) Epoch: [21][4590/11272] Time 0.740 (0.811) Data 0.001 (0.002) Loss 2.5556 (2.5985) Prec@1 38.125 (36.848) Prec@5 68.750 (67.653) Epoch: [21][4600/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.4670 (2.5985) Prec@1 38.125 (36.849) Prec@5 68.125 (67.654) Epoch: [21][4610/11272] Time 0.849 (0.811) Data 0.002 (0.002) Loss 2.5973 (2.5984) Prec@1 36.875 (36.849) Prec@5 68.125 (67.655) Epoch: [21][4620/11272] Time 0.928 (0.811) Data 0.002 (0.002) Loss 2.6649 (2.5986) Prec@1 35.000 (36.845) Prec@5 70.000 (67.653) Epoch: [21][4630/11272] Time 0.759 (0.811) Data 0.001 (0.002) Loss 2.6145 (2.5986) Prec@1 37.500 (36.843) Prec@5 67.500 (67.651) Epoch: [21][4640/11272] Time 0.722 (0.811) Data 0.001 (0.002) Loss 2.5579 (2.5987) Prec@1 38.125 (36.843) Prec@5 66.875 (67.646) Epoch: [21][4650/11272] Time 0.856 (0.811) Data 0.002 (0.002) Loss 2.5236 (2.5987) Prec@1 33.125 (36.844) Prec@5 73.750 (67.646) Epoch: [21][4660/11272] Time 0.939 (0.811) Data 0.003 (0.002) Loss 2.7902 (2.5986) Prec@1 27.500 (36.845) Prec@5 65.000 (67.648) Epoch: [21][4670/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.6696 (2.5987) Prec@1 32.500 (36.844) Prec@5 68.750 (67.646) Epoch: [21][4680/11272] Time 0.741 (0.811) Data 0.002 (0.002) Loss 2.4362 (2.5989) Prec@1 41.875 (36.843) Prec@5 69.375 (67.641) Epoch: [21][4690/11272] Time 0.858 (0.811) Data 0.002 (0.002) Loss 2.5743 (2.5990) Prec@1 42.500 (36.844) Prec@5 65.000 (67.635) Epoch: [21][4700/11272] Time 0.906 (0.811) Data 0.002 (0.002) Loss 2.7379 (2.5991) Prec@1 37.500 (36.843) Prec@5 64.375 (67.634) Epoch: [21][4710/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.4065 (2.5991) Prec@1 40.000 (36.841) Prec@5 70.625 (67.634) Epoch: [21][4720/11272] Time 0.913 (0.811) Data 0.002 (0.002) Loss 2.6934 (2.5992) Prec@1 30.625 (36.839) Prec@5 68.125 (67.630) Epoch: [21][4730/11272] Time 0.837 (0.811) Data 0.001 (0.002) Loss 2.5559 (2.5993) Prec@1 36.875 (36.840) Prec@5 68.125 (67.625) Epoch: [21][4740/11272] Time 0.741 (0.811) Data 0.002 (0.002) Loss 2.8590 (2.5995) Prec@1 31.875 (36.836) Prec@5 61.250 (67.624) Epoch: [21][4750/11272] Time 0.739 (0.811) Data 0.001 (0.002) Loss 2.4465 (2.5994) Prec@1 37.500 (36.838) Prec@5 67.500 (67.627) Epoch: [21][4760/11272] Time 0.887 (0.811) Data 0.002 (0.002) Loss 2.7607 (2.5993) Prec@1 33.750 (36.838) Prec@5 63.750 (67.629) Epoch: [21][4770/11272] Time 0.894 (0.811) Data 0.002 (0.002) Loss 2.5437 (2.5993) Prec@1 40.625 (36.837) Prec@5 66.250 (67.630) Epoch: [21][4780/11272] Time 0.712 (0.811) Data 0.002 (0.002) Loss 2.6785 (2.5994) Prec@1 39.375 (36.836) Prec@5 65.625 (67.625) Epoch: [21][4790/11272] Time 0.766 (0.811) Data 0.002 (0.002) Loss 2.6180 (2.5994) Prec@1 34.375 (36.835) Prec@5 66.875 (67.622) Epoch: [21][4800/11272] Time 0.887 (0.811) Data 0.002 (0.002) Loss 2.6675 (2.5993) Prec@1 33.750 (36.833) Prec@5 66.875 (67.624) Epoch: [21][4810/11272] Time 0.899 (0.811) Data 0.002 (0.002) Loss 2.6762 (2.5993) Prec@1 35.000 (36.833) Prec@5 67.500 (67.627) Epoch: [21][4820/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.5262 (2.5994) Prec@1 34.375 (36.829) Prec@5 68.750 (67.625) Epoch: [21][4830/11272] Time 0.733 (0.811) Data 0.001 (0.002) Loss 2.7172 (2.5994) Prec@1 35.625 (36.829) Prec@5 65.625 (67.623) Epoch: [21][4840/11272] Time 0.850 (0.811) Data 0.002 (0.002) Loss 2.6765 (2.5996) Prec@1 34.375 (36.825) Prec@5 63.750 (67.617) Epoch: [21][4850/11272] Time 0.776 (0.811) Data 0.003 (0.002) Loss 2.6109 (2.5995) Prec@1 38.125 (36.826) Prec@5 68.750 (67.618) Epoch: [21][4860/11272] Time 0.721 (0.811) Data 0.001 (0.002) Loss 2.6233 (2.5995) Prec@1 36.875 (36.826) Prec@5 67.500 (67.617) Epoch: [21][4870/11272] Time 0.892 (0.811) Data 0.002 (0.002) Loss 2.5488 (2.5996) Prec@1 35.625 (36.825) Prec@5 65.000 (67.615) Epoch: [21][4880/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.4053 (2.5995) Prec@1 41.875 (36.826) Prec@5 70.000 (67.614) Epoch: [21][4890/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.7138 (2.5997) Prec@1 31.875 (36.825) Prec@5 66.875 (67.611) Epoch: [21][4900/11272] Time 0.762 (0.811) Data 0.001 (0.002) Loss 2.6461 (2.5997) Prec@1 31.875 (36.823) Prec@5 67.500 (67.610) Epoch: [21][4910/11272] Time 0.862 (0.811) Data 0.002 (0.002) Loss 2.5743 (2.5999) Prec@1 38.125 (36.822) Prec@5 67.500 (67.608) Epoch: [21][4920/11272] Time 0.897 (0.811) Data 0.002 (0.002) Loss 2.6493 (2.5999) Prec@1 37.500 (36.820) Prec@5 64.375 (67.606) Epoch: [21][4930/11272] Time 0.759 (0.811) Data 0.002 (0.002) Loss 2.8262 (2.5999) Prec@1 34.375 (36.820) Prec@5 60.625 (67.603) Epoch: [21][4940/11272] Time 0.748 (0.811) Data 0.001 (0.002) Loss 2.8743 (2.6000) Prec@1 35.625 (36.818) Prec@5 61.250 (67.602) Epoch: [21][4950/11272] Time 0.841 (0.811) Data 0.002 (0.002) Loss 2.8422 (2.6001) Prec@1 30.000 (36.821) Prec@5 64.375 (67.598) Epoch: [21][4960/11272] Time 0.920 (0.811) Data 0.002 (0.002) Loss 2.6502 (2.6000) Prec@1 36.250 (36.820) Prec@5 63.750 (67.599) Epoch: [21][4970/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.5915 (2.5999) Prec@1 36.250 (36.825) Prec@5 65.625 (67.602) Epoch: [21][4980/11272] Time 0.840 (0.811) Data 0.002 (0.002) Loss 2.6733 (2.5998) Prec@1 36.875 (36.826) Prec@5 70.625 (67.605) Epoch: [21][4990/11272] Time 0.867 (0.811) Data 0.002 (0.002) Loss 2.3755 (2.5997) Prec@1 42.500 (36.828) Prec@5 71.875 (67.609) Epoch: [21][5000/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.6615 (2.5997) Prec@1 34.375 (36.825) Prec@5 65.000 (67.607) Epoch: [21][5010/11272] Time 0.765 (0.811) Data 0.002 (0.002) Loss 2.6574 (2.5999) Prec@1 35.000 (36.826) Prec@5 66.250 (67.603) Epoch: [21][5020/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.5898 (2.5999) Prec@1 38.125 (36.824) Prec@5 68.125 (67.601) Epoch: [21][5030/11272] Time 0.873 (0.811) Data 0.002 (0.002) Loss 2.4734 (2.6001) Prec@1 38.750 (36.819) Prec@5 66.875 (67.597) Epoch: [21][5040/11272] Time 0.757 (0.811) Data 0.002 (0.002) Loss 2.6163 (2.6001) Prec@1 35.625 (36.820) Prec@5 68.750 (67.593) Epoch: [21][5050/11272] Time 0.745 (0.811) Data 0.002 (0.002) Loss 2.7559 (2.6002) Prec@1 25.625 (36.817) Prec@5 68.125 (67.592) Epoch: [21][5060/11272] Time 0.850 (0.811) Data 0.002 (0.002) Loss 2.6030 (2.6001) Prec@1 39.375 (36.822) Prec@5 65.625 (67.594) Epoch: [21][5070/11272] Time 0.893 (0.811) Data 0.002 (0.002) Loss 2.5620 (2.6000) Prec@1 39.375 (36.823) Prec@5 66.250 (67.595) Epoch: [21][5080/11272] Time 0.759 (0.811) Data 0.002 (0.002) Loss 2.4156 (2.6001) Prec@1 41.250 (36.825) Prec@5 68.750 (67.594) Epoch: [21][5090/11272] Time 0.713 (0.811) Data 0.001 (0.002) Loss 2.5654 (2.6001) Prec@1 39.375 (36.822) Prec@5 70.625 (67.595) Epoch: [21][5100/11272] Time 0.852 (0.811) Data 0.002 (0.002) Loss 2.7374 (2.6001) Prec@1 34.375 (36.822) Prec@5 65.625 (67.597) Epoch: [21][5110/11272] Time 0.773 (0.811) Data 0.003 (0.002) Loss 2.7935 (2.6001) Prec@1 35.000 (36.825) Prec@5 61.250 (67.594) Epoch: [21][5120/11272] Time 0.738 (0.811) Data 0.001 (0.002) Loss 2.4738 (2.6001) Prec@1 41.875 (36.826) Prec@5 70.625 (67.594) Epoch: [21][5130/11272] Time 0.909 (0.811) Data 0.001 (0.002) Loss 2.6152 (2.6002) Prec@1 41.875 (36.826) Prec@5 65.625 (67.592) Epoch: [21][5140/11272] Time 0.880 (0.811) Data 0.002 (0.002) Loss 2.5781 (2.6002) Prec@1 35.000 (36.826) Prec@5 70.000 (67.591) Epoch: [21][5150/11272] Time 0.731 (0.811) Data 0.002 (0.002) Loss 2.6826 (2.6003) Prec@1 34.375 (36.826) Prec@5 68.125 (67.590) Epoch: [21][5160/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.6226 (2.6004) Prec@1 38.750 (36.825) Prec@5 67.500 (67.589) Epoch: [21][5170/11272] Time 0.907 (0.811) Data 0.002 (0.002) Loss 2.5360 (2.6004) Prec@1 33.750 (36.824) Prec@5 68.750 (67.589) Epoch: [21][5180/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.5114 (2.6004) Prec@1 42.500 (36.826) Prec@5 70.000 (67.588) Epoch: [21][5190/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.5550 (2.6005) Prec@1 40.000 (36.825) Prec@5 67.500 (67.586) Epoch: [21][5200/11272] Time 0.737 (0.811) Data 0.002 (0.002) Loss 2.5510 (2.6005) Prec@1 36.875 (36.826) Prec@5 72.500 (67.589) Epoch: [21][5210/11272] Time 0.911 (0.811) Data 0.002 (0.002) Loss 2.6689 (2.6006) Prec@1 36.250 (36.824) Prec@5 69.375 (67.589) Epoch: [21][5220/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.6236 (2.6006) Prec@1 33.125 (36.822) Prec@5 69.375 (67.589) Epoch: [21][5230/11272] Time 0.746 (0.811) Data 0.001 (0.002) Loss 2.6287 (2.6006) Prec@1 39.375 (36.823) Prec@5 65.625 (67.589) Epoch: [21][5240/11272] Time 0.828 (0.811) Data 0.002 (0.002) Loss 2.6996 (2.6006) Prec@1 33.125 (36.823) Prec@5 66.250 (67.589) Epoch: [21][5250/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.7049 (2.6006) Prec@1 30.000 (36.822) Prec@5 65.625 (67.588) Epoch: [21][5260/11272] Time 0.712 (0.811) Data 0.001 (0.002) Loss 2.6046 (2.6006) Prec@1 33.750 (36.821) Prec@5 68.750 (67.590) Epoch: [21][5270/11272] Time 0.760 (0.811) Data 0.001 (0.002) Loss 2.5272 (2.6006) Prec@1 37.500 (36.821) Prec@5 70.000 (67.589) Epoch: [21][5280/11272] Time 0.923 (0.811) Data 0.002 (0.002) Loss 2.6497 (2.6006) Prec@1 33.125 (36.820) Prec@5 66.250 (67.588) Epoch: [21][5290/11272] Time 0.896 (0.811) Data 0.002 (0.002) Loss 2.6821 (2.6006) Prec@1 41.875 (36.820) Prec@5 67.500 (67.590) Epoch: [21][5300/11272] Time 0.739 (0.811) Data 0.002 (0.002) Loss 2.6225 (2.6007) Prec@1 35.000 (36.819) Prec@5 69.375 (67.588) Epoch: [21][5310/11272] Time 0.744 (0.811) Data 0.001 (0.002) Loss 2.9696 (2.6008) Prec@1 29.375 (36.816) Prec@5 60.000 (67.584) Epoch: [21][5320/11272] Time 0.844 (0.811) Data 0.001 (0.002) Loss 2.8155 (2.6009) Prec@1 40.625 (36.816) Prec@5 65.625 (67.585) Epoch: [21][5330/11272] Time 0.870 (0.811) Data 0.001 (0.002) Loss 2.4450 (2.6008) Prec@1 36.250 (36.817) Prec@5 70.000 (67.586) Epoch: [21][5340/11272] Time 0.761 (0.811) Data 0.002 (0.002) Loss 2.5366 (2.6009) Prec@1 41.250 (36.818) Prec@5 67.500 (67.585) Epoch: [21][5350/11272] Time 0.731 (0.811) Data 0.001 (0.002) Loss 2.6981 (2.6009) Prec@1 41.250 (36.820) Prec@5 68.750 (67.584) Epoch: [21][5360/11272] Time 0.874 (0.811) Data 0.002 (0.002) Loss 2.6679 (2.6007) Prec@1 33.750 (36.824) Prec@5 66.875 (67.590) Epoch: [21][5370/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 2.5286 (2.6008) Prec@1 41.875 (36.820) Prec@5 69.375 (67.589) Epoch: [21][5380/11272] Time 0.756 (0.811) Data 0.002 (0.002) Loss 2.5314 (2.6007) Prec@1 35.625 (36.821) Prec@5 70.625 (67.593) Epoch: [21][5390/11272] Time 0.869 (0.811) Data 0.002 (0.002) Loss 2.6650 (2.6007) Prec@1 36.250 (36.818) Prec@5 67.500 (67.594) Epoch: [21][5400/11272] Time 0.887 (0.811) Data 0.002 (0.002) Loss 2.5435 (2.6007) Prec@1 36.875 (36.815) Prec@5 70.000 (67.595) Epoch: [21][5410/11272] Time 0.736 (0.811) Data 0.001 (0.002) Loss 2.8619 (2.6007) Prec@1 35.625 (36.815) Prec@5 61.250 (67.596) Epoch: [21][5420/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 2.5917 (2.6008) Prec@1 33.125 (36.813) Prec@5 67.500 (67.593) Epoch: [21][5430/11272] Time 0.843 (0.811) Data 0.001 (0.002) Loss 2.7091 (2.6007) Prec@1 34.375 (36.813) Prec@5 62.500 (67.594) Epoch: [21][5440/11272] Time 0.886 (0.811) Data 0.001 (0.002) Loss 2.4724 (2.6006) Prec@1 39.375 (36.816) Prec@5 70.000 (67.595) Epoch: [21][5450/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.5606 (2.6007) Prec@1 31.875 (36.813) Prec@5 65.625 (67.593) Epoch: [21][5460/11272] Time 0.747 (0.811) Data 0.003 (0.002) Loss 2.4825 (2.6007) Prec@1 35.000 (36.810) Prec@5 69.375 (67.592) Epoch: [21][5470/11272] Time 0.853 (0.811) Data 0.002 (0.002) Loss 2.7392 (2.6007) Prec@1 35.000 (36.810) Prec@5 62.500 (67.590) Epoch: [21][5480/11272] Time 0.902 (0.811) Data 0.002 (0.002) Loss 2.7709 (2.6007) Prec@1 33.750 (36.810) Prec@5 64.375 (67.591) Epoch: [21][5490/11272] Time 0.724 (0.811) Data 0.001 (0.002) Loss 2.8087 (2.6007) Prec@1 24.375 (36.803) Prec@5 63.125 (67.590) Epoch: [21][5500/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.4508 (2.6007) Prec@1 43.125 (36.803) Prec@5 71.250 (67.591) Epoch: [21][5510/11272] Time 0.862 (0.811) Data 0.001 (0.002) Loss 2.5629 (2.6007) Prec@1 37.500 (36.803) Prec@5 68.125 (67.593) Epoch: [21][5520/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.5794 (2.6007) Prec@1 37.500 (36.800) Prec@5 69.375 (67.593) Epoch: [21][5530/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 2.2340 (2.6007) Prec@1 41.875 (36.801) Prec@5 76.875 (67.594) Epoch: [21][5540/11272] Time 0.869 (0.811) Data 0.002 (0.002) Loss 2.5488 (2.6008) Prec@1 40.625 (36.801) Prec@5 66.875 (67.591) Epoch: [21][5550/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 2.6434 (2.6010) Prec@1 37.500 (36.797) Prec@5 68.125 (67.589) Epoch: [21][5560/11272] Time 0.746 (0.811) Data 0.001 (0.002) Loss 2.4466 (2.6010) Prec@1 40.625 (36.798) Prec@5 68.125 (67.588) Epoch: [21][5570/11272] Time 0.745 (0.811) Data 0.002 (0.002) Loss 2.6441 (2.6010) Prec@1 36.875 (36.800) Prec@5 60.625 (67.586) Epoch: [21][5580/11272] Time 0.897 (0.811) Data 0.001 (0.002) Loss 2.5886 (2.6010) Prec@1 36.875 (36.801) Prec@5 67.500 (67.585) Epoch: [21][5590/11272] Time 0.862 (0.811) Data 0.002 (0.002) Loss 2.4660 (2.6010) Prec@1 36.875 (36.802) Prec@5 66.250 (67.584) Epoch: [21][5600/11272] Time 0.740 (0.811) Data 0.002 (0.002) Loss 2.6417 (2.6010) Prec@1 36.875 (36.802) Prec@5 70.000 (67.587) Epoch: [21][5610/11272] Time 0.756 (0.811) Data 0.002 (0.002) Loss 2.5716 (2.6009) Prec@1 37.500 (36.805) Prec@5 66.875 (67.588) Epoch: [21][5620/11272] Time 0.904 (0.811) Data 0.002 (0.002) Loss 2.5963 (2.6008) Prec@1 34.375 (36.808) Prec@5 71.250 (67.589) Epoch: [21][5630/11272] Time 0.871 (0.811) Data 0.002 (0.002) Loss 2.8237 (2.6009) Prec@1 33.750 (36.806) Prec@5 59.375 (67.585) Epoch: [21][5640/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.3631 (2.6009) Prec@1 41.875 (36.809) Prec@5 72.500 (67.584) Epoch: [21][5650/11272] Time 0.908 (0.811) Data 0.001 (0.002) Loss 2.7855 (2.6010) Prec@1 31.250 (36.806) Prec@5 64.375 (67.582) Epoch: [21][5660/11272] Time 0.878 (0.811) Data 0.002 (0.002) Loss 2.6605 (2.6011) Prec@1 34.375 (36.803) Prec@5 68.125 (67.582) Epoch: [21][5670/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.6155 (2.6012) Prec@1 40.000 (36.802) Prec@5 65.625 (67.584) Epoch: [21][5680/11272] Time 0.735 (0.811) Data 0.001 (0.002) Loss 2.4711 (2.6012) Prec@1 35.625 (36.801) Prec@5 68.750 (67.580) Epoch: [21][5690/11272] Time 0.855 (0.811) Data 0.002 (0.002) Loss 2.3886 (2.6012) Prec@1 45.625 (36.804) Prec@5 68.750 (67.582) Epoch: [21][5700/11272] Time 0.890 (0.811) Data 0.001 (0.002) Loss 2.4261 (2.6012) Prec@1 41.250 (36.803) Prec@5 73.125 (67.581) Epoch: [21][5710/11272] Time 0.724 (0.811) Data 0.001 (0.002) Loss 2.4437 (2.6010) Prec@1 34.375 (36.808) Prec@5 72.500 (67.585) Epoch: [21][5720/11272] Time 0.738 (0.811) Data 0.001 (0.002) Loss 2.5276 (2.6011) Prec@1 34.375 (36.806) Prec@5 68.750 (67.585) Epoch: [21][5730/11272] Time 0.895 (0.811) Data 0.002 (0.002) Loss 2.4956 (2.6010) Prec@1 40.625 (36.806) Prec@5 70.625 (67.589) Epoch: [21][5740/11272] Time 0.862 (0.811) Data 0.002 (0.002) Loss 2.8306 (2.6009) Prec@1 31.875 (36.807) Prec@5 61.250 (67.588) Epoch: [21][5750/11272] Time 0.730 (0.811) Data 0.001 (0.002) Loss 2.4679 (2.6010) Prec@1 43.125 (36.804) Prec@5 68.750 (67.586) Epoch: [21][5760/11272] Time 0.727 (0.811) Data 0.001 (0.002) Loss 2.5744 (2.6011) Prec@1 35.000 (36.804) Prec@5 68.125 (67.586) Epoch: [21][5770/11272] Time 0.858 (0.811) Data 0.002 (0.002) Loss 2.6950 (2.6010) Prec@1 31.875 (36.802) Prec@5 69.375 (67.588) Epoch: [21][5780/11272] Time 0.762 (0.811) Data 0.003 (0.002) Loss 2.9702 (2.6011) Prec@1 27.500 (36.801) Prec@5 61.250 (67.587) Epoch: [21][5790/11272] Time 0.726 (0.811) Data 0.001 (0.002) Loss 2.8234 (2.6012) Prec@1 34.375 (36.799) Prec@5 63.125 (67.586) Epoch: [21][5800/11272] Time 0.887 (0.811) Data 0.002 (0.002) Loss 2.6451 (2.6012) Prec@1 36.875 (36.798) Prec@5 66.875 (67.584) Epoch: [21][5810/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.7073 (2.6012) Prec@1 33.750 (36.798) Prec@5 60.000 (67.584) Epoch: [21][5820/11272] Time 0.737 (0.811) Data 0.002 (0.002) Loss 2.7690 (2.6012) Prec@1 33.125 (36.799) Prec@5 66.875 (67.584) Epoch: [21][5830/11272] Time 0.738 (0.811) Data 0.004 (0.002) Loss 2.5758 (2.6012) Prec@1 38.125 (36.798) Prec@5 66.250 (67.583) Epoch: [21][5840/11272] Time 0.886 (0.811) Data 0.002 (0.002) Loss 2.6812 (2.6011) Prec@1 34.375 (36.800) Prec@5 67.500 (67.584) Epoch: [21][5850/11272] Time 0.896 (0.811) Data 0.002 (0.002) Loss 2.6045 (2.6013) Prec@1 39.375 (36.798) Prec@5 69.375 (67.583) Epoch: [21][5860/11272] Time 0.723 (0.811) Data 0.002 (0.002) Loss 2.4625 (2.6012) Prec@1 43.125 (36.800) Prec@5 67.500 (67.582) Epoch: [21][5870/11272] Time 0.742 (0.811) Data 0.001 (0.002) Loss 2.5740 (2.6012) Prec@1 37.500 (36.801) Prec@5 68.750 (67.585) Epoch: [21][5880/11272] Time 0.824 (0.811) Data 0.001 (0.002) Loss 2.4820 (2.6011) Prec@1 34.375 (36.799) Prec@5 70.000 (67.585) Epoch: [21][5890/11272] Time 0.919 (0.811) Data 0.002 (0.002) Loss 2.4471 (2.6010) Prec@1 38.750 (36.801) Prec@5 70.000 (67.587) Epoch: [21][5900/11272] Time 0.728 (0.811) Data 0.002 (0.002) Loss 2.2885 (2.6010) Prec@1 41.875 (36.802) Prec@5 76.250 (67.592) Epoch: [21][5910/11272] Time 0.821 (0.811) Data 0.001 (0.002) Loss 2.3804 (2.6008) Prec@1 41.250 (36.803) Prec@5 72.500 (67.597) Epoch: [21][5920/11272] Time 0.889 (0.811) Data 0.002 (0.002) Loss 2.6433 (2.6008) Prec@1 35.625 (36.802) Prec@5 67.500 (67.597) Epoch: [21][5930/11272] Time 0.724 (0.811) Data 0.002 (0.002) Loss 2.2495 (2.6008) Prec@1 41.250 (36.804) Prec@5 75.000 (67.596) Epoch: [21][5940/11272] Time 0.740 (0.811) Data 0.002 (0.002) Loss 2.7026 (2.6010) Prec@1 36.875 (36.801) Prec@5 70.000 (67.593) Epoch: [21][5950/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.3941 (2.6009) Prec@1 41.875 (36.805) Prec@5 70.625 (67.594) Epoch: [21][5960/11272] Time 0.877 (0.811) Data 0.002 (0.002) Loss 2.5883 (2.6008) Prec@1 36.875 (36.805) Prec@5 69.375 (67.593) Epoch: [21][5970/11272] Time 0.757 (0.811) Data 0.002 (0.002) Loss 2.5242 (2.6008) Prec@1 36.250 (36.807) Prec@5 68.750 (67.596) Epoch: [21][5980/11272] Time 0.801 (0.811) Data 0.002 (0.002) Loss 2.3685 (2.6007) Prec@1 43.125 (36.808) Prec@5 73.125 (67.599) Epoch: [21][5990/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.3040 (2.6006) Prec@1 43.125 (36.811) Prec@5 73.750 (67.602) Epoch: [21][6000/11272] Time 0.849 (0.811) Data 0.001 (0.002) Loss 2.8422 (2.6006) Prec@1 37.500 (36.813) Prec@5 62.500 (67.601) Epoch: [21][6010/11272] Time 0.736 (0.811) Data 0.001 (0.002) Loss 2.4582 (2.6005) Prec@1 37.500 (36.814) Prec@5 70.000 (67.604) Epoch: [21][6020/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 2.5784 (2.6006) Prec@1 41.875 (36.813) Prec@5 68.750 (67.601) Epoch: [21][6030/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 2.6358 (2.6008) Prec@1 38.750 (36.810) Prec@5 68.125 (67.598) Epoch: [21][6040/11272] Time 0.726 (0.810) Data 0.003 (0.002) Loss 2.4061 (2.6007) Prec@1 42.500 (36.810) Prec@5 71.250 (67.597) Epoch: [21][6050/11272] Time 0.756 (0.810) Data 0.002 (0.002) Loss 2.6994 (2.6008) Prec@1 35.000 (36.810) Prec@5 68.125 (67.597) Epoch: [21][6060/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.7581 (2.6008) Prec@1 36.250 (36.810) Prec@5 66.250 (67.598) Epoch: [21][6070/11272] Time 0.892 (0.810) Data 0.002 (0.002) Loss 2.9879 (2.6009) Prec@1 30.625 (36.808) Prec@5 55.625 (67.596) Epoch: [21][6080/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.5909 (2.6009) Prec@1 40.625 (36.807) Prec@5 67.500 (67.598) Epoch: [21][6090/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.3836 (2.6009) Prec@1 40.625 (36.809) Prec@5 72.500 (67.599) Epoch: [21][6100/11272] Time 0.867 (0.810) Data 0.002 (0.002) Loss 2.7528 (2.6009) Prec@1 35.000 (36.810) Prec@5 63.750 (67.598) Epoch: [21][6110/11272] Time 0.819 (0.810) Data 0.001 (0.002) Loss 2.4898 (2.6008) Prec@1 37.500 (36.811) Prec@5 69.375 (67.598) Epoch: [21][6120/11272] Time 0.740 (0.810) Data 0.001 (0.002) Loss 2.5179 (2.6009) Prec@1 36.250 (36.810) Prec@5 73.125 (67.599) Epoch: [21][6130/11272] Time 0.722 (0.810) Data 0.001 (0.002) Loss 2.7344 (2.6007) Prec@1 32.500 (36.812) Prec@5 68.750 (67.603) Epoch: [21][6140/11272] Time 0.842 (0.810) Data 0.002 (0.002) Loss 2.6932 (2.6009) Prec@1 34.375 (36.809) Prec@5 65.625 (67.598) Epoch: [21][6150/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.1960 (2.6008) Prec@1 45.000 (36.811) Prec@5 74.375 (67.597) Epoch: [21][6160/11272] Time 0.753 (0.810) Data 0.002 (0.002) Loss 2.8660 (2.6009) Prec@1 34.375 (36.811) Prec@5 63.750 (67.597) Epoch: [21][6170/11272] Time 0.799 (0.810) Data 0.002 (0.002) Loss 2.6651 (2.6010) Prec@1 36.250 (36.808) Prec@5 65.000 (67.597) Epoch: [21][6180/11272] Time 0.878 (0.810) Data 0.002 (0.002) Loss 2.5882 (2.6011) Prec@1 39.375 (36.807) Prec@5 66.875 (67.595) Epoch: [21][6190/11272] Time 0.761 (0.810) Data 0.001 (0.002) Loss 2.5614 (2.6011) Prec@1 38.750 (36.807) Prec@5 64.375 (67.593) Epoch: [21][6200/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.4192 (2.6010) Prec@1 38.125 (36.809) Prec@5 73.125 (67.597) Epoch: [21][6210/11272] Time 0.855 (0.810) Data 0.002 (0.002) Loss 2.4767 (2.6010) Prec@1 38.125 (36.807) Prec@5 70.000 (67.597) Epoch: [21][6220/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.7178 (2.6011) Prec@1 36.875 (36.808) Prec@5 61.250 (67.597) Epoch: [21][6230/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.7905 (2.6011) Prec@1 30.000 (36.808) Prec@5 65.000 (67.599) Epoch: [21][6240/11272] Time 0.720 (0.810) Data 0.002 (0.002) Loss 2.8076 (2.6010) Prec@1 29.375 (36.808) Prec@5 62.500 (67.598) Epoch: [21][6250/11272] Time 0.872 (0.810) Data 0.001 (0.002) Loss 2.2206 (2.6009) Prec@1 45.625 (36.813) Prec@5 74.375 (67.602) Epoch: [21][6260/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.5133 (2.6009) Prec@1 36.250 (36.812) Prec@5 70.625 (67.604) Epoch: [21][6270/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.8254 (2.6008) Prec@1 38.750 (36.814) Prec@5 66.875 (67.607) Epoch: [21][6280/11272] Time 0.744 (0.810) Data 0.002 (0.002) Loss 2.6766 (2.6008) Prec@1 31.875 (36.813) Prec@5 64.375 (67.604) Epoch: [21][6290/11272] Time 0.922 (0.810) Data 0.002 (0.002) Loss 2.3868 (2.6008) Prec@1 36.250 (36.813) Prec@5 74.375 (67.602) Epoch: [21][6300/11272] Time 0.862 (0.810) Data 0.002 (0.002) Loss 2.7333 (2.6008) Prec@1 28.125 (36.811) Prec@5 69.375 (67.601) Epoch: [21][6310/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.7025 (2.6009) Prec@1 30.625 (36.806) Prec@5 62.500 (67.598) Epoch: [21][6320/11272] Time 0.885 (0.810) Data 0.002 (0.002) Loss 2.8217 (2.6011) Prec@1 29.375 (36.803) Prec@5 62.500 (67.596) Epoch: [21][6330/11272] Time 0.873 (0.810) Data 0.002 (0.002) Loss 2.7135 (2.6012) Prec@1 31.250 (36.799) Prec@5 67.500 (67.594) Epoch: [21][6340/11272] Time 0.763 (0.810) Data 0.002 (0.002) Loss 2.5326 (2.6012) Prec@1 35.000 (36.797) Prec@5 66.875 (67.595) Epoch: [21][6350/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.7368 (2.6014) Prec@1 31.875 (36.793) Prec@5 63.125 (67.591) Epoch: [21][6360/11272] Time 0.855 (0.810) Data 0.002 (0.002) Loss 2.6517 (2.6015) Prec@1 36.250 (36.794) Prec@5 66.875 (67.588) Epoch: [21][6370/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.4042 (2.6015) Prec@1 39.375 (36.793) Prec@5 69.375 (67.589) Epoch: [21][6380/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.4537 (2.6015) Prec@1 41.250 (36.794) Prec@5 68.750 (67.588) Epoch: [21][6390/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.7863 (2.6015) Prec@1 35.000 (36.791) Prec@5 63.750 (67.589) Epoch: [21][6400/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.5819 (2.6015) Prec@1 41.250 (36.794) Prec@5 70.000 (67.591) Epoch: [21][6410/11272] Time 0.878 (0.810) Data 0.002 (0.002) Loss 2.5384 (2.6015) Prec@1 36.875 (36.793) Prec@5 68.750 (67.590) Epoch: [21][6420/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.5838 (2.6014) Prec@1 36.875 (36.792) Prec@5 68.125 (67.590) Epoch: [21][6430/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.8063 (2.6015) Prec@1 31.875 (36.792) Prec@5 63.750 (67.587) Epoch: [21][6440/11272] Time 0.861 (0.810) Data 0.002 (0.002) Loss 2.8625 (2.6016) Prec@1 27.500 (36.792) Prec@5 62.500 (67.586) Epoch: [21][6450/11272] Time 0.756 (0.810) Data 0.001 (0.002) Loss 2.1713 (2.6015) Prec@1 48.125 (36.795) Prec@5 74.375 (67.585) Epoch: [21][6460/11272] Time 0.732 (0.810) Data 0.001 (0.002) Loss 2.3418 (2.6016) Prec@1 43.750 (36.791) Prec@5 75.000 (67.585) Epoch: [21][6470/11272] Time 0.882 (0.810) Data 0.002 (0.002) Loss 2.5209 (2.6017) Prec@1 41.250 (36.793) Prec@5 66.250 (67.584) Epoch: [21][6480/11272] Time 0.850 (0.810) Data 0.002 (0.002) Loss 2.4401 (2.6016) Prec@1 41.250 (36.795) Prec@5 71.250 (67.587) Epoch: [21][6490/11272] Time 0.710 (0.810) Data 0.001 (0.002) Loss 2.7087 (2.6016) Prec@1 31.875 (36.796) Prec@5 65.000 (67.589) Epoch: [21][6500/11272] Time 0.718 (0.810) Data 0.001 (0.002) Loss 2.6272 (2.6017) Prec@1 33.750 (36.794) Prec@5 65.000 (67.587) Epoch: [21][6510/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.6826 (2.6017) Prec@1 33.750 (36.792) Prec@5 61.875 (67.587) Epoch: [21][6520/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.4003 (2.6015) Prec@1 36.875 (36.793) Prec@5 73.125 (67.591) Epoch: [21][6530/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.6015 (2.6015) Prec@1 30.625 (36.791) Prec@5 70.000 (67.592) Epoch: [21][6540/11272] Time 0.778 (0.810) Data 0.002 (0.002) Loss 2.5731 (2.6015) Prec@1 35.625 (36.790) Prec@5 67.500 (67.592) Epoch: [21][6550/11272] Time 0.850 (0.810) Data 0.002 (0.002) Loss 2.7409 (2.6014) Prec@1 34.375 (36.793) Prec@5 65.625 (67.593) Epoch: [21][6560/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.5584 (2.6015) Prec@1 37.500 (36.792) Prec@5 64.375 (67.591) Epoch: [21][6570/11272] Time 0.750 (0.810) Data 0.002 (0.002) Loss 2.4697 (2.6016) Prec@1 38.125 (36.791) Prec@5 70.000 (67.590) Epoch: [21][6580/11272] Time 0.893 (0.810) Data 0.001 (0.002) Loss 2.5336 (2.6015) Prec@1 42.500 (36.792) Prec@5 75.000 (67.592) Epoch: [21][6590/11272] Time 0.875 (0.810) Data 0.002 (0.002) Loss 2.7687 (2.6016) Prec@1 35.000 (36.792) Prec@5 62.500 (67.591) Epoch: [21][6600/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.6992 (2.6015) Prec@1 27.500 (36.791) Prec@5 63.750 (67.592) Epoch: [21][6610/11272] Time 0.722 (0.810) Data 0.001 (0.002) Loss 2.7242 (2.6016) Prec@1 36.250 (36.790) Prec@5 65.000 (67.588) Epoch: [21][6620/11272] Time 0.848 (0.810) Data 0.002 (0.002) Loss 2.6307 (2.6016) Prec@1 39.375 (36.790) Prec@5 66.250 (67.586) Epoch: [21][6630/11272] Time 0.880 (0.810) Data 0.002 (0.002) Loss 2.4223 (2.6016) Prec@1 38.750 (36.791) Prec@5 70.000 (67.587) Epoch: [21][6640/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 2.3651 (2.6017) Prec@1 45.000 (36.793) Prec@5 76.875 (67.587) Epoch: [21][6650/11272] Time 0.725 (0.810) Data 0.001 (0.002) Loss 2.3603 (2.6016) Prec@1 39.375 (36.793) Prec@5 72.500 (67.586) Epoch: [21][6660/11272] Time 0.864 (0.810) Data 0.001 (0.002) Loss 2.6023 (2.6016) Prec@1 33.750 (36.794) Prec@5 68.125 (67.585) Epoch: [21][6670/11272] Time 0.878 (0.810) Data 0.002 (0.002) Loss 2.7050 (2.6017) Prec@1 36.875 (36.794) Prec@5 69.375 (67.583) Epoch: [21][6680/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.2855 (2.6018) Prec@1 43.750 (36.794) Prec@5 75.000 (67.582) Epoch: [21][6690/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.6770 (2.6018) Prec@1 36.875 (36.796) Prec@5 66.250 (67.583) Epoch: [21][6700/11272] Time 0.884 (0.810) Data 0.002 (0.002) Loss 2.4041 (2.6017) Prec@1 41.250 (36.799) Prec@5 67.500 (67.585) Epoch: [21][6710/11272] Time 0.772 (0.810) Data 0.003 (0.002) Loss 2.4574 (2.6017) Prec@1 35.000 (36.801) Prec@5 74.375 (67.587) Epoch: [21][6720/11272] Time 0.758 (0.810) Data 0.001 (0.002) Loss 2.6337 (2.6016) Prec@1 34.375 (36.801) Prec@5 70.000 (67.588) Epoch: [21][6730/11272] Time 0.880 (0.810) Data 0.002 (0.002) Loss 2.6286 (2.6017) Prec@1 38.125 (36.800) Prec@5 64.375 (67.587) Epoch: [21][6740/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.7362 (2.6017) Prec@1 33.125 (36.799) Prec@5 63.750 (67.586) Epoch: [21][6750/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 2.9545 (2.6016) Prec@1 31.250 (36.801) Prec@5 63.750 (67.589) Epoch: [21][6760/11272] Time 0.759 (0.810) Data 0.002 (0.002) Loss 2.6059 (2.6017) Prec@1 34.375 (36.801) Prec@5 67.500 (67.586) Epoch: [21][6770/11272] Time 0.866 (0.810) Data 0.002 (0.002) Loss 2.7235 (2.6016) Prec@1 32.500 (36.801) Prec@5 61.875 (67.586) Epoch: [21][6780/11272] Time 0.885 (0.810) Data 0.003 (0.002) Loss 2.3539 (2.6016) Prec@1 42.500 (36.800) Prec@5 76.875 (67.587) Epoch: [21][6790/11272] Time 0.739 (0.810) Data 0.001 (0.002) Loss 2.6408 (2.6015) Prec@1 32.500 (36.803) Prec@5 63.125 (67.588) Epoch: [21][6800/11272] Time 0.743 (0.810) Data 0.001 (0.002) Loss 2.7623 (2.6015) Prec@1 30.625 (36.803) Prec@5 61.250 (67.586) Epoch: [21][6810/11272] Time 0.840 (0.810) Data 0.002 (0.002) Loss 2.7203 (2.6015) Prec@1 31.875 (36.803) Prec@5 63.125 (67.585) Epoch: [21][6820/11272] Time 0.852 (0.810) Data 0.002 (0.002) Loss 2.6502 (2.6015) Prec@1 35.000 (36.805) Prec@5 68.125 (67.585) Epoch: [21][6830/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.6670 (2.6014) Prec@1 37.500 (36.808) Prec@5 68.750 (67.586) Epoch: [21][6840/11272] Time 0.855 (0.810) Data 0.001 (0.002) Loss 2.8353 (2.6015) Prec@1 29.375 (36.806) Prec@5 63.750 (67.583) Epoch: [21][6850/11272] Time 0.852 (0.810) Data 0.001 (0.002) Loss 2.4375 (2.6016) Prec@1 43.125 (36.804) Prec@5 68.125 (67.579) Epoch: [21][6860/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 2.5829 (2.6016) Prec@1 36.875 (36.803) Prec@5 64.375 (67.579) Epoch: [21][6870/11272] Time 0.743 (0.810) Data 0.002 (0.002) Loss 2.5347 (2.6016) Prec@1 34.375 (36.801) Prec@5 67.500 (67.579) Epoch: [21][6880/11272] Time 0.896 (0.810) Data 0.002 (0.002) Loss 2.4597 (2.6017) Prec@1 38.125 (36.799) Prec@5 66.250 (67.576) Epoch: [21][6890/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.5064 (2.6016) Prec@1 36.875 (36.798) Prec@5 70.625 (67.577) Epoch: [21][6900/11272] Time 0.734 (0.810) Data 0.001 (0.002) Loss 2.7643 (2.6015) Prec@1 35.000 (36.801) Prec@5 66.250 (67.580) Epoch: [21][6910/11272] Time 0.740 (0.810) Data 0.002 (0.002) Loss 2.4120 (2.6015) Prec@1 42.500 (36.803) Prec@5 70.000 (67.579) Epoch: [21][6920/11272] Time 0.871 (0.810) Data 0.001 (0.002) Loss 2.8213 (2.6014) Prec@1 31.875 (36.805) Prec@5 63.750 (67.580) Epoch: [21][6930/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 2.4243 (2.6015) Prec@1 43.125 (36.805) Prec@5 72.500 (67.579) Epoch: [21][6940/11272] Time 0.712 (0.810) Data 0.001 (0.002) Loss 2.3587 (2.6013) Prec@1 41.250 (36.808) Prec@5 70.625 (67.582) Epoch: [21][6950/11272] Time 0.733 (0.810) Data 0.001 (0.002) Loss 2.5162 (2.6013) Prec@1 38.750 (36.809) Prec@5 71.875 (67.585) Epoch: [21][6960/11272] Time 0.853 (0.810) Data 0.001 (0.002) Loss 2.5581 (2.6012) Prec@1 31.875 (36.808) Prec@5 72.500 (67.587) Epoch: [21][6970/11272] Time 0.759 (0.810) Data 0.003 (0.002) Loss 2.5129 (2.6011) Prec@1 36.875 (36.809) Prec@5 70.625 (67.588) Epoch: [21][6980/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.6344 (2.6012) Prec@1 39.375 (36.807) Prec@5 70.000 (67.588) Epoch: [21][6990/11272] Time 0.892 (0.810) Data 0.002 (0.002) Loss 2.6483 (2.6011) Prec@1 38.750 (36.809) Prec@5 68.750 (67.590) Epoch: [21][7000/11272] Time 0.848 (0.810) Data 0.001 (0.002) Loss 2.8925 (2.6011) Prec@1 27.500 (36.809) Prec@5 59.375 (67.590) Epoch: [21][7010/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.5263 (2.6012) Prec@1 40.000 (36.806) Prec@5 67.500 (67.588) Epoch: [21][7020/11272] Time 0.758 (0.810) Data 0.002 (0.002) Loss 2.9167 (2.6012) Prec@1 31.875 (36.805) Prec@5 60.625 (67.588) Epoch: [21][7030/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.6460 (2.6012) Prec@1 38.750 (36.805) Prec@5 67.500 (67.585) Epoch: [21][7040/11272] Time 0.890 (0.810) Data 0.002 (0.002) Loss 2.6458 (2.6012) Prec@1 36.875 (36.805) Prec@5 68.125 (67.587) Epoch: [21][7050/11272] Time 0.738 (0.810) Data 0.001 (0.002) Loss 2.3229 (2.6012) Prec@1 41.875 (36.806) Prec@5 71.875 (67.586) Epoch: [21][7060/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 2.5926 (2.6012) Prec@1 33.750 (36.808) Prec@5 71.875 (67.585) Epoch: [21][7070/11272] Time 0.853 (0.810) Data 0.002 (0.002) Loss 2.5496 (2.6013) Prec@1 38.125 (36.809) Prec@5 65.625 (67.585) Epoch: [21][7080/11272] Time 0.861 (0.810) Data 0.002 (0.002) Loss 2.8411 (2.6013) Prec@1 37.500 (36.813) Prec@5 62.500 (67.584) Epoch: [21][7090/11272] Time 0.788 (0.810) Data 0.002 (0.002) Loss 2.3653 (2.6012) Prec@1 45.000 (36.814) Prec@5 71.250 (67.586) Epoch: [21][7100/11272] Time 0.857 (0.810) Data 0.001 (0.002) Loss 2.6196 (2.6013) Prec@1 35.000 (36.811) Prec@5 66.875 (67.582) Epoch: [21][7110/11272] Time 0.870 (0.810) Data 0.001 (0.002) Loss 2.5024 (2.6015) Prec@1 38.750 (36.810) Prec@5 69.375 (67.580) Epoch: [21][7120/11272] Time 0.758 (0.810) Data 0.001 (0.002) Loss 2.5492 (2.6016) Prec@1 37.500 (36.805) Prec@5 70.625 (67.580) Epoch: [21][7130/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.6882 (2.6015) Prec@1 36.875 (36.807) Prec@5 70.000 (67.582) Epoch: [21][7140/11272] Time 0.862 (0.810) Data 0.002 (0.002) Loss 2.6691 (2.6015) Prec@1 38.125 (36.810) Prec@5 64.375 (67.581) Epoch: [21][7150/11272] Time 0.871 (0.810) Data 0.002 (0.002) Loss 2.4741 (2.6013) Prec@1 36.250 (36.812) Prec@5 66.875 (67.584) Epoch: [21][7160/11272] Time 0.730 (0.810) Data 0.001 (0.002) Loss 2.6455 (2.6013) Prec@1 37.500 (36.813) Prec@5 67.500 (67.585) Epoch: [21][7170/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.3353 (2.6014) Prec@1 45.000 (36.812) Prec@5 69.375 (67.583) Epoch: [21][7180/11272] Time 0.888 (0.810) Data 0.002 (0.002) Loss 2.8529 (2.6015) Prec@1 31.250 (36.812) Prec@5 63.125 (67.579) Epoch: [21][7190/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.3841 (2.6016) Prec@1 41.875 (36.810) Prec@5 71.250 (67.576) Epoch: [21][7200/11272] Time 0.719 (0.809) Data 0.001 (0.002) Loss 2.7920 (2.6016) Prec@1 34.375 (36.810) Prec@5 63.750 (67.577) Epoch: [21][7210/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 2.8148 (2.6017) Prec@1 30.625 (36.810) Prec@5 65.000 (67.573) Epoch: [21][7220/11272] Time 0.914 (0.810) Data 0.002 (0.002) Loss 2.5985 (2.6017) Prec@1 36.250 (36.810) Prec@5 66.250 (67.570) Epoch: [21][7230/11272] Time 0.864 (0.810) Data 0.001 (0.002) Loss 2.5126 (2.6017) Prec@1 37.500 (36.811) Prec@5 66.250 (67.571) Epoch: [21][7240/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.7168 (2.6017) Prec@1 35.625 (36.812) Prec@5 64.375 (67.570) Epoch: [21][7250/11272] Time 0.939 (0.809) Data 0.002 (0.002) Loss 2.7161 (2.6017) Prec@1 38.750 (36.812) Prec@5 65.625 (67.570) Epoch: [21][7260/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.5219 (2.6017) Prec@1 35.625 (36.812) Prec@5 69.375 (67.570) Epoch: [21][7270/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.7602 (2.6019) Prec@1 33.750 (36.807) Prec@5 61.250 (67.564) Epoch: [21][7280/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.5465 (2.6019) Prec@1 41.875 (36.806) Prec@5 66.250 (67.564) Epoch: [21][7290/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.6138 (2.6020) Prec@1 33.750 (36.804) Prec@5 63.750 (67.563) Epoch: [21][7300/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.6022 (2.6020) Prec@1 35.625 (36.804) Prec@5 68.125 (67.564) Epoch: [21][7310/11272] Time 0.718 (0.809) Data 0.001 (0.002) Loss 2.5187 (2.6020) Prec@1 41.875 (36.805) Prec@5 66.875 (67.564) Epoch: [21][7320/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.7238 (2.6021) Prec@1 36.250 (36.805) Prec@5 65.000 (67.562) Epoch: [21][7330/11272] Time 0.925 (0.809) Data 0.002 (0.002) Loss 2.4650 (2.6021) Prec@1 38.750 (36.805) Prec@5 70.625 (67.563) Epoch: [21][7340/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.5661 (2.6021) Prec@1 36.875 (36.805) Prec@5 66.875 (67.563) Epoch: [21][7350/11272] Time 0.739 (0.809) Data 0.002 (0.002) Loss 2.5972 (2.6020) Prec@1 33.750 (36.804) Prec@5 66.250 (67.564) Epoch: [21][7360/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.7465 (2.6020) Prec@1 36.875 (36.805) Prec@5 61.875 (67.564) Epoch: [21][7370/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.4525 (2.6019) Prec@1 40.625 (36.806) Prec@5 67.500 (67.566) Epoch: [21][7380/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.5580 (2.6018) Prec@1 35.000 (36.808) Prec@5 67.500 (67.567) Epoch: [21][7390/11272] Time 0.750 (0.809) Data 0.001 (0.002) Loss 2.6237 (2.6018) Prec@1 35.625 (36.810) Prec@5 64.375 (67.566) Epoch: [21][7400/11272] Time 0.894 (0.809) Data 0.001 (0.002) Loss 2.5831 (2.6018) Prec@1 41.875 (36.810) Prec@5 61.875 (67.566) Epoch: [21][7410/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.7164 (2.6018) Prec@1 31.250 (36.808) Prec@5 66.875 (67.565) Epoch: [21][7420/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.5938 (2.6019) Prec@1 33.750 (36.806) Prec@5 66.875 (67.564) Epoch: [21][7430/11272] Time 0.702 (0.809) Data 0.002 (0.002) Loss 3.0366 (2.6020) Prec@1 28.125 (36.804) Prec@5 65.625 (67.565) Epoch: [21][7440/11272] Time 0.839 (0.809) Data 0.001 (0.002) Loss 2.7939 (2.6019) Prec@1 32.500 (36.804) Prec@5 63.125 (67.567) Epoch: [21][7450/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.6406 (2.6019) Prec@1 34.375 (36.803) Prec@5 68.125 (67.569) Epoch: [21][7460/11272] Time 0.742 (0.809) Data 0.002 (0.002) Loss 2.7845 (2.6019) Prec@1 33.750 (36.802) Prec@5 65.625 (67.570) Epoch: [21][7470/11272] Time 0.757 (0.809) Data 0.002 (0.002) Loss 2.5760 (2.6020) Prec@1 41.250 (36.801) Prec@5 66.875 (67.570) Epoch: [21][7480/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.3530 (2.6020) Prec@1 36.875 (36.803) Prec@5 73.750 (67.571) Epoch: [21][7490/11272] Time 0.863 (0.809) Data 0.002 (0.002) Loss 2.3921 (2.6019) Prec@1 43.125 (36.804) Prec@5 72.500 (67.571) Epoch: [21][7500/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.7022 (2.6019) Prec@1 34.375 (36.807) Prec@5 63.750 (67.570) Epoch: [21][7510/11272] Time 0.927 (0.809) Data 0.002 (0.002) Loss 2.5363 (2.6020) Prec@1 38.125 (36.805) Prec@5 66.250 (67.570) Epoch: [21][7520/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.4979 (2.6019) Prec@1 38.125 (36.807) Prec@5 72.500 (67.573) Epoch: [21][7530/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.9842 (2.6019) Prec@1 26.875 (36.808) Prec@5 60.000 (67.572) Epoch: [21][7540/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.5272 (2.6018) Prec@1 37.500 (36.810) Prec@5 68.125 (67.574) Epoch: [21][7550/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.5321 (2.6018) Prec@1 36.875 (36.810) Prec@5 70.000 (67.575) Epoch: [21][7560/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.5196 (2.6018) Prec@1 43.125 (36.811) Prec@5 66.250 (67.574) Epoch: [21][7570/11272] Time 0.720 (0.809) Data 0.001 (0.002) Loss 2.5532 (2.6018) Prec@1 37.500 (36.811) Prec@5 68.750 (67.574) Epoch: [21][7580/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.5664 (2.6018) Prec@1 40.000 (36.811) Prec@5 70.625 (67.574) Epoch: [21][7590/11272] Time 0.881 (0.809) Data 0.003 (0.002) Loss 2.2593 (2.6018) Prec@1 42.500 (36.811) Prec@5 74.375 (67.576) Epoch: [21][7600/11272] Time 0.888 (0.809) Data 0.002 (0.002) Loss 2.9117 (2.6018) Prec@1 28.750 (36.810) Prec@5 62.500 (67.575) Epoch: [21][7610/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.8487 (2.6019) Prec@1 32.500 (36.809) Prec@5 62.500 (67.574) Epoch: [21][7620/11272] Time 0.742 (0.809) Data 0.001 (0.002) Loss 2.8125 (2.6019) Prec@1 29.375 (36.808) Prec@5 65.000 (67.574) Epoch: [21][7630/11272] Time 0.852 (0.809) Data 0.002 (0.002) Loss 2.7637 (2.6021) Prec@1 34.375 (36.806) Prec@5 62.500 (67.572) Epoch: [21][7640/11272] Time 0.764 (0.809) Data 0.003 (0.002) Loss 2.8513 (2.6022) Prec@1 28.750 (36.802) Prec@5 61.875 (67.570) Epoch: [21][7650/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.6773 (2.6023) Prec@1 31.875 (36.799) Prec@5 64.375 (67.566) Epoch: [21][7660/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.6160 (2.6023) Prec@1 37.500 (36.799) Prec@5 69.375 (67.567) Epoch: [21][7670/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.5707 (2.6022) Prec@1 33.750 (36.799) Prec@5 70.000 (67.569) Epoch: [21][7680/11272] Time 0.752 (0.809) Data 0.002 (0.002) Loss 2.0393 (2.6021) Prec@1 50.000 (36.803) Prec@5 76.875 (67.570) Epoch: [21][7690/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.6229 (2.6021) Prec@1 37.500 (36.804) Prec@5 64.375 (67.570) Epoch: [21][7700/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.6266 (2.6022) Prec@1 31.875 (36.801) Prec@5 65.625 (67.566) Epoch: [21][7710/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.3633 (2.6022) Prec@1 40.000 (36.801) Prec@5 76.875 (67.567) Epoch: [21][7720/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 2.8525 (2.6023) Prec@1 36.250 (36.801) Prec@5 61.875 (67.566) Epoch: [21][7730/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.3722 (2.6023) Prec@1 38.125 (36.801) Prec@5 74.375 (67.567) Epoch: [21][7740/11272] Time 0.891 (0.809) Data 0.002 (0.002) Loss 2.5595 (2.6022) Prec@1 36.875 (36.802) Prec@5 68.125 (67.569) Epoch: [21][7750/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.5937 (2.6022) Prec@1 36.250 (36.802) Prec@5 70.625 (67.569) Epoch: [21][7760/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.8064 (2.6023) Prec@1 36.250 (36.800) Prec@5 63.125 (67.567) Epoch: [21][7770/11272] Time 0.820 (0.809) Data 0.001 (0.002) Loss 2.7642 (2.6023) Prec@1 35.000 (36.800) Prec@5 62.500 (67.566) Epoch: [21][7780/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.4920 (2.6023) Prec@1 41.875 (36.801) Prec@5 68.750 (67.566) Epoch: [21][7790/11272] Time 0.752 (0.809) Data 0.002 (0.002) Loss 2.3687 (2.6022) Prec@1 40.625 (36.801) Prec@5 71.875 (67.567) Epoch: [21][7800/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.8489 (2.6022) Prec@1 31.875 (36.804) Prec@5 65.625 (67.568) Epoch: [21][7810/11272] Time 0.863 (0.809) Data 0.002 (0.002) Loss 2.4417 (2.6021) Prec@1 39.375 (36.806) Prec@5 71.875 (67.568) Epoch: [21][7820/11272] Time 0.888 (0.809) Data 0.002 (0.002) Loss 2.5199 (2.6021) Prec@1 36.875 (36.810) Prec@5 69.375 (67.570) Epoch: [21][7830/11272] Time 0.881 (0.809) Data 0.002 (0.002) Loss 2.6497 (2.6020) Prec@1 37.500 (36.810) Prec@5 66.250 (67.571) Epoch: [21][7840/11272] Time 0.771 (0.809) Data 0.002 (0.002) Loss 2.5677 (2.6020) Prec@1 36.250 (36.810) Prec@5 68.750 (67.572) Epoch: [21][7850/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.7599 (2.6021) Prec@1 34.375 (36.808) Prec@5 65.625 (67.571) Epoch: [21][7860/11272] Time 0.907 (0.809) Data 0.002 (0.002) Loss 2.4605 (2.6021) Prec@1 41.250 (36.807) Prec@5 71.250 (67.572) Epoch: [21][7870/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.4894 (2.6020) Prec@1 39.375 (36.807) Prec@5 69.375 (67.573) Epoch: [21][7880/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.6194 (2.6020) Prec@1 28.125 (36.807) Prec@5 66.250 (67.573) Epoch: [21][7890/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.8327 (2.6020) Prec@1 31.875 (36.806) Prec@5 61.875 (67.571) Epoch: [21][7900/11272] Time 0.748 (0.809) Data 0.004 (0.002) Loss 2.5367 (2.6020) Prec@1 38.125 (36.806) Prec@5 68.125 (67.571) Epoch: [21][7910/11272] Time 0.784 (0.809) Data 0.002 (0.002) Loss 2.3083 (2.6020) Prec@1 48.125 (36.807) Prec@5 73.750 (67.573) Epoch: [21][7920/11272] Time 0.914 (0.809) Data 0.002 (0.002) Loss 2.7638 (2.6020) Prec@1 34.375 (36.805) Prec@5 66.250 (67.575) Epoch: [21][7930/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.7082 (2.6020) Prec@1 36.875 (36.805) Prec@5 63.125 (67.573) Epoch: [21][7940/11272] Time 0.739 (0.809) Data 0.002 (0.002) Loss 2.8195 (2.6021) Prec@1 31.250 (36.803) Prec@5 65.000 (67.571) Epoch: [21][7950/11272] Time 0.737 (0.809) Data 0.002 (0.002) Loss 2.6059 (2.6020) Prec@1 35.625 (36.804) Prec@5 63.750 (67.573) Epoch: [21][7960/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.7089 (2.6021) Prec@1 35.625 (36.803) Prec@5 65.625 (67.573) Epoch: [21][7970/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.3850 (2.6021) Prec@1 35.000 (36.803) Prec@5 68.750 (67.573) Epoch: [21][7980/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5644 (2.6022) Prec@1 35.000 (36.800) Prec@5 68.125 (67.572) Epoch: [21][7990/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 2.5838 (2.6022) Prec@1 33.125 (36.799) Prec@5 68.125 (67.570) Epoch: [21][8000/11272] Time 0.849 (0.809) Data 0.002 (0.002) Loss 2.6348 (2.6023) Prec@1 36.875 (36.797) Prec@5 65.625 (67.569) Epoch: [21][8010/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.8705 (2.6023) Prec@1 33.750 (36.798) Prec@5 62.500 (67.568) Epoch: [21][8020/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.5393 (2.6022) Prec@1 38.750 (36.798) Prec@5 71.250 (67.571) Epoch: [21][8030/11272] Time 0.871 (0.809) Data 0.001 (0.002) Loss 2.5999 (2.6023) Prec@1 36.875 (36.796) Prec@5 66.250 (67.569) Epoch: [21][8040/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.3331 (2.6022) Prec@1 41.250 (36.796) Prec@5 72.500 (67.572) Epoch: [21][8050/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.5428 (2.6022) Prec@1 39.375 (36.797) Prec@5 66.875 (67.571) Epoch: [21][8060/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.4855 (2.6021) Prec@1 35.625 (36.799) Prec@5 70.625 (67.572) Epoch: [21][8070/11272] Time 0.902 (0.809) Data 0.002 (0.002) Loss 2.8595 (2.6021) Prec@1 33.750 (36.798) Prec@5 61.875 (67.572) Epoch: [21][8080/11272] Time 0.952 (0.809) Data 0.002 (0.002) Loss 2.4628 (2.6021) Prec@1 37.500 (36.799) Prec@5 69.375 (67.572) Epoch: [21][8090/11272] Time 0.757 (0.809) Data 0.001 (0.002) Loss 2.8065 (2.6021) Prec@1 34.375 (36.799) Prec@5 63.750 (67.572) Epoch: [21][8100/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.6024 (2.6021) Prec@1 36.875 (36.797) Prec@5 65.000 (67.573) Epoch: [21][8110/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.5232 (2.6020) Prec@1 41.250 (36.798) Prec@5 70.625 (67.574) Epoch: [21][8120/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.6631 (2.6021) Prec@1 33.750 (36.796) Prec@5 65.625 (67.573) Epoch: [21][8130/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.6699 (2.6021) Prec@1 42.500 (36.796) Prec@5 65.000 (67.574) Epoch: [21][8140/11272] Time 0.732 (0.809) Data 0.003 (0.002) Loss 2.3590 (2.6020) Prec@1 40.625 (36.798) Prec@5 69.375 (67.575) Epoch: [21][8150/11272] Time 0.834 (0.809) Data 0.001 (0.002) Loss 2.6663 (2.6020) Prec@1 38.125 (36.799) Prec@5 66.875 (67.575) Epoch: [21][8160/11272] Time 0.841 (0.809) Data 0.002 (0.002) Loss 2.6675 (2.6020) Prec@1 32.500 (36.797) Prec@5 66.250 (67.574) Epoch: [21][8170/11272] Time 0.725 (0.809) Data 0.002 (0.002) Loss 2.5693 (2.6020) Prec@1 35.625 (36.796) Prec@5 71.250 (67.574) Epoch: [21][8180/11272] Time 0.900 (0.809) Data 0.002 (0.002) Loss 2.5701 (2.6020) Prec@1 40.625 (36.798) Prec@5 70.625 (67.573) Epoch: [21][8190/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.5852 (2.6020) Prec@1 35.000 (36.798) Prec@5 65.000 (67.575) Epoch: [21][8200/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.5806 (2.6019) Prec@1 34.375 (36.798) Prec@5 67.500 (67.575) Epoch: [21][8210/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.2959 (2.6018) Prec@1 39.375 (36.799) Prec@5 70.625 (67.576) Epoch: [21][8220/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.3472 (2.6018) Prec@1 37.500 (36.802) Prec@5 68.125 (67.575) Epoch: [21][8230/11272] Time 0.826 (0.809) Data 0.002 (0.002) Loss 2.6413 (2.6020) Prec@1 38.750 (36.800) Prec@5 61.250 (67.571) Epoch: [21][8240/11272] Time 0.756 (0.809) Data 0.001 (0.002) Loss 2.4763 (2.6021) Prec@1 40.000 (36.800) Prec@5 70.625 (67.568) Epoch: [21][8250/11272] Time 0.699 (0.809) Data 0.001 (0.002) Loss 2.7338 (2.6021) Prec@1 34.375 (36.801) Prec@5 65.000 (67.567) Epoch: [21][8260/11272] Time 0.895 (0.809) Data 0.002 (0.002) Loss 2.7733 (2.6020) Prec@1 33.125 (36.804) Prec@5 65.625 (67.570) Epoch: [21][8270/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.6841 (2.6020) Prec@1 32.500 (36.805) Prec@5 66.875 (67.568) Epoch: [21][8280/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 2.4433 (2.6021) Prec@1 39.375 (36.806) Prec@5 68.750 (67.568) Epoch: [21][8290/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.5450 (2.6019) Prec@1 34.375 (36.805) Prec@5 68.750 (67.571) Epoch: [21][8300/11272] Time 0.825 (0.809) Data 0.001 (0.002) Loss 2.7119 (2.6019) Prec@1 33.750 (36.806) Prec@5 64.375 (67.573) Epoch: [21][8310/11272] Time 0.703 (0.809) Data 0.001 (0.002) Loss 2.6480 (2.6019) Prec@1 36.875 (36.805) Prec@5 68.750 (67.572) Epoch: [21][8320/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 2.7298 (2.6020) Prec@1 36.875 (36.805) Prec@5 63.750 (67.570) Epoch: [21][8330/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 2.8179 (2.6021) Prec@1 29.375 (36.801) Prec@5 65.625 (67.566) Epoch: [21][8340/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.6784 (2.6021) Prec@1 36.250 (36.801) Prec@5 64.375 (67.566) Epoch: [21][8350/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.7961 (2.6022) Prec@1 36.250 (36.800) Prec@5 62.500 (67.565) Epoch: [21][8360/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 2.6656 (2.6022) Prec@1 37.500 (36.801) Prec@5 65.000 (67.565) Epoch: [21][8370/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.5931 (2.6023) Prec@1 37.500 (36.799) Prec@5 69.375 (67.565) Epoch: [21][8380/11272] Time 0.867 (0.809) Data 0.002 (0.002) Loss 2.7467 (2.6023) Prec@1 35.625 (36.799) Prec@5 63.125 (67.562) Epoch: [21][8390/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.6694 (2.6023) Prec@1 33.750 (36.800) Prec@5 66.250 (67.564) Epoch: [21][8400/11272] Time 0.803 (0.809) Data 0.002 (0.002) Loss 2.8902 (2.6023) Prec@1 28.750 (36.799) Prec@5 61.250 (67.564) Epoch: [21][8410/11272] Time 0.864 (0.809) Data 0.001 (0.002) Loss 2.5538 (2.6023) Prec@1 38.750 (36.800) Prec@5 65.625 (67.565) Epoch: [21][8420/11272] Time 0.900 (0.809) Data 0.002 (0.002) Loss 2.5388 (2.6023) Prec@1 41.250 (36.800) Prec@5 68.125 (67.566) Epoch: [21][8430/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.3380 (2.6023) Prec@1 39.375 (36.801) Prec@5 73.125 (67.564) Epoch: [21][8440/11272] Time 0.906 (0.809) Data 0.001 (0.002) Loss 2.5522 (2.6022) Prec@1 38.125 (36.804) Prec@5 70.000 (67.565) Epoch: [21][8450/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.3987 (2.6021) Prec@1 43.125 (36.804) Prec@5 70.000 (67.565) Epoch: [21][8460/11272] Time 0.744 (0.809) Data 0.001 (0.002) Loss 2.6701 (2.6022) Prec@1 35.625 (36.802) Prec@5 63.750 (67.563) Epoch: [21][8470/11272] Time 0.764 (0.809) Data 0.001 (0.002) Loss 2.4593 (2.6022) Prec@1 41.875 (36.806) Prec@5 71.875 (67.565) Epoch: [21][8480/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.5014 (2.6022) Prec@1 36.875 (36.805) Prec@5 70.625 (67.564) Epoch: [21][8490/11272] Time 0.891 (0.809) Data 0.006 (0.002) Loss 2.4782 (2.6021) Prec@1 43.125 (36.808) Prec@5 70.625 (67.566) Epoch: [21][8500/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.6189 (2.6021) Prec@1 30.625 (36.807) Prec@5 67.500 (67.566) Epoch: [21][8510/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.7947 (2.6021) Prec@1 35.625 (36.807) Prec@5 66.250 (67.566) Epoch: [21][8520/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.5878 (2.6021) Prec@1 33.125 (36.809) Prec@5 71.875 (67.568) Epoch: [21][8530/11272] Time 0.863 (0.809) Data 0.002 (0.002) Loss 2.7909 (2.6020) Prec@1 30.000 (36.809) Prec@5 66.875 (67.567) Epoch: [21][8540/11272] Time 0.756 (0.809) Data 0.001 (0.002) Loss 2.5846 (2.6020) Prec@1 33.750 (36.810) Prec@5 65.000 (67.566) Epoch: [21][8550/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.5053 (2.6019) Prec@1 39.375 (36.811) Prec@5 70.000 (67.567) Epoch: [21][8560/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.5044 (2.6019) Prec@1 39.375 (36.811) Prec@5 70.625 (67.567) Epoch: [21][8570/11272] Time 0.760 (0.809) Data 0.004 (0.002) Loss 2.5559 (2.6019) Prec@1 35.625 (36.810) Prec@5 68.750 (67.566) Epoch: [21][8580/11272] Time 0.753 (0.809) Data 0.001 (0.002) Loss 2.4005 (2.6019) Prec@1 33.750 (36.810) Prec@5 74.375 (67.566) Epoch: [21][8590/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.4502 (2.6019) Prec@1 41.875 (36.812) Prec@5 66.875 (67.566) Epoch: [21][8600/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 2.6391 (2.6019) Prec@1 40.000 (36.811) Prec@5 68.125 (67.566) Epoch: [21][8610/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.5299 (2.6019) Prec@1 34.375 (36.813) Prec@5 68.750 (67.565) Epoch: [21][8620/11272] Time 0.746 (0.809) Data 0.002 (0.002) Loss 2.6187 (2.6019) Prec@1 33.750 (36.814) Prec@5 70.625 (67.566) Epoch: [21][8630/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 2.9378 (2.6020) Prec@1 25.625 (36.811) Prec@5 55.000 (67.565) Epoch: [21][8640/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.7311 (2.6020) Prec@1 37.500 (36.811) Prec@5 65.000 (67.563) Epoch: [21][8650/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.3851 (2.6020) Prec@1 41.875 (36.808) Prec@5 71.250 (67.563) Epoch: [21][8660/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.7031 (2.6020) Prec@1 35.625 (36.807) Prec@5 65.625 (67.562) Epoch: [21][8670/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.4830 (2.6020) Prec@1 35.000 (36.807) Prec@5 70.000 (67.561) Epoch: [21][8680/11272] Time 0.925 (0.809) Data 0.002 (0.002) Loss 2.5643 (2.6020) Prec@1 35.000 (36.809) Prec@5 67.500 (67.561) Epoch: [21][8690/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.7703 (2.6020) Prec@1 38.125 (36.809) Prec@5 66.875 (67.561) Epoch: [21][8700/11272] Time 0.881 (0.809) Data 0.001 (0.002) Loss 2.6884 (2.6021) Prec@1 35.000 (36.808) Prec@5 68.125 (67.560) Epoch: [21][8710/11272] Time 0.880 (0.809) Data 0.003 (0.002) Loss 2.6417 (2.6020) Prec@1 36.875 (36.810) Prec@5 64.375 (67.562) Epoch: [21][8720/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5705 (2.6020) Prec@1 36.250 (36.811) Prec@5 66.250 (67.561) Epoch: [21][8730/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.7248 (2.6020) Prec@1 35.000 (36.810) Prec@5 71.250 (67.559) Epoch: [21][8740/11272] Time 0.869 (0.809) Data 0.002 (0.002) Loss 2.5616 (2.6021) Prec@1 35.000 (36.809) Prec@5 66.875 (67.558) Epoch: [21][8750/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.4547 (2.6021) Prec@1 41.875 (36.808) Prec@5 65.000 (67.557) Epoch: [21][8760/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 2.3091 (2.6021) Prec@1 36.875 (36.807) Prec@5 75.000 (67.556) Epoch: [21][8770/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.5324 (2.6021) Prec@1 40.000 (36.808) Prec@5 70.625 (67.556) Epoch: [21][8780/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.6026 (2.6021) Prec@1 36.250 (36.807) Prec@5 68.750 (67.556) Epoch: [21][8790/11272] Time 0.872 (0.809) Data 0.002 (0.002) Loss 2.7704 (2.6022) Prec@1 33.750 (36.806) Prec@5 66.875 (67.554) Epoch: [21][8800/11272] Time 0.716 (0.809) Data 0.002 (0.002) Loss 2.6237 (2.6022) Prec@1 36.250 (36.806) Prec@5 63.125 (67.553) Epoch: [21][8810/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.5593 (2.6022) Prec@1 38.125 (36.807) Prec@5 68.125 (67.553) Epoch: [21][8820/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.7167 (2.6023) Prec@1 37.500 (36.808) Prec@5 68.750 (67.552) Epoch: [21][8830/11272] Time 0.757 (0.809) Data 0.004 (0.002) Loss 2.6683 (2.6025) Prec@1 36.250 (36.804) Prec@5 66.250 (67.547) Epoch: [21][8840/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.7946 (2.6025) Prec@1 30.000 (36.806) Prec@5 61.875 (67.548) Epoch: [21][8850/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.7125 (2.6025) Prec@1 37.500 (36.807) Prec@5 63.750 (67.547) Epoch: [21][8860/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.9111 (2.6025) Prec@1 28.750 (36.807) Prec@5 56.875 (67.546) Epoch: [21][8870/11272] Time 0.717 (0.809) Data 0.001 (0.002) Loss 2.8582 (2.6024) Prec@1 32.500 (36.810) Prec@5 65.625 (67.548) Epoch: [21][8880/11272] Time 0.767 (0.809) Data 0.002 (0.002) Loss 2.6887 (2.6024) Prec@1 33.125 (36.809) Prec@5 66.875 (67.550) Epoch: [21][8890/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.7738 (2.6024) Prec@1 35.000 (36.807) Prec@5 69.375 (67.551) Epoch: [21][8900/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.3468 (2.6023) Prec@1 40.625 (36.810) Prec@5 71.250 (67.551) Epoch: [21][8910/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.7601 (2.6024) Prec@1 35.625 (36.810) Prec@5 64.375 (67.549) Epoch: [21][8920/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.6280 (2.6025) Prec@1 35.000 (36.808) Prec@5 71.250 (67.550) Epoch: [21][8930/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.4994 (2.6025) Prec@1 35.000 (36.808) Prec@5 70.625 (67.550) Epoch: [21][8940/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.4559 (2.6023) Prec@1 37.500 (36.811) Prec@5 68.125 (67.551) Epoch: [21][8950/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.6431 (2.6024) Prec@1 33.750 (36.811) Prec@5 65.000 (67.549) Epoch: [21][8960/11272] Time 0.807 (0.809) Data 0.001 (0.002) Loss 2.5498 (2.6024) Prec@1 35.000 (36.812) Prec@5 71.875 (67.551) Epoch: [21][8970/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 2.2931 (2.6024) Prec@1 37.500 (36.811) Prec@5 73.125 (67.553) Epoch: [21][8980/11272] Time 0.719 (0.809) Data 0.002 (0.002) Loss 2.4612 (2.6024) Prec@1 40.000 (36.812) Prec@5 66.875 (67.551) Epoch: [21][8990/11272] Time 0.727 (0.809) Data 0.001 (0.002) Loss 2.5818 (2.6024) Prec@1 36.875 (36.811) Prec@5 70.625 (67.551) Epoch: [21][9000/11272] Time 0.853 (0.809) Data 0.002 (0.002) Loss 2.7025 (2.6024) Prec@1 39.375 (36.811) Prec@5 65.000 (67.550) Epoch: [21][9010/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.6511 (2.6025) Prec@1 30.000 (36.810) Prec@5 68.750 (67.549) Epoch: [21][9020/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 2.5740 (2.6025) Prec@1 40.000 (36.812) Prec@5 66.875 (67.550) Epoch: [21][9030/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.5814 (2.6024) Prec@1 37.500 (36.813) Prec@5 67.500 (67.551) Epoch: [21][9040/11272] Time 0.852 (0.809) Data 0.002 (0.002) Loss 2.3719 (2.6024) Prec@1 42.500 (36.814) Prec@5 69.375 (67.551) Epoch: [21][9050/11272] Time 0.843 (0.809) Data 0.002 (0.002) Loss 2.7713 (2.6024) Prec@1 31.250 (36.813) Prec@5 65.625 (67.552) Epoch: [21][9060/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.5137 (2.6023) Prec@1 38.750 (36.816) Prec@5 69.375 (67.554) Epoch: [21][9070/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.7022 (2.6023) Prec@1 36.250 (36.816) Prec@5 64.375 (67.554) Epoch: [21][9080/11272] Time 0.846 (0.809) Data 0.001 (0.002) Loss 2.6754 (2.6024) Prec@1 37.500 (36.815) Prec@5 65.625 (67.553) Epoch: [21][9090/11272] Time 0.904 (0.809) Data 0.002 (0.002) Loss 2.6678 (2.6024) Prec@1 36.875 (36.815) Prec@5 66.875 (67.552) Epoch: [21][9100/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.7541 (2.6025) Prec@1 35.625 (36.813) Prec@5 67.500 (67.550) Epoch: [21][9110/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.4894 (2.6025) Prec@1 37.500 (36.814) Prec@5 69.375 (67.548) Epoch: [21][9120/11272] Time 0.809 (0.809) Data 0.001 (0.002) Loss 2.4529 (2.6024) Prec@1 36.875 (36.815) Prec@5 73.125 (67.549) Epoch: [21][9130/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.5522 (2.6024) Prec@1 32.500 (36.815) Prec@5 73.750 (67.550) Epoch: [21][9140/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.4889 (2.6023) Prec@1 36.875 (36.817) Prec@5 70.000 (67.551) Epoch: [21][9150/11272] Time 0.918 (0.809) Data 0.002 (0.002) Loss 2.8847 (2.6022) Prec@1 36.250 (36.820) Prec@5 60.625 (67.552) Epoch: [21][9160/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.5907 (2.6023) Prec@1 33.125 (36.817) Prec@5 69.375 (67.552) Epoch: [21][9170/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.6631 (2.6023) Prec@1 33.125 (36.819) Prec@5 65.000 (67.552) Epoch: [21][9180/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.5334 (2.6023) Prec@1 33.750 (36.819) Prec@5 66.875 (67.551) Epoch: [21][9190/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.8844 (2.6024) Prec@1 31.875 (36.819) Prec@5 63.125 (67.550) Epoch: [21][9200/11272] Time 0.891 (0.809) Data 0.002 (0.002) Loss 2.8393 (2.6023) Prec@1 29.375 (36.821) Prec@5 65.625 (67.551) Epoch: [21][9210/11272] Time 0.776 (0.809) Data 0.002 (0.002) Loss 2.6548 (2.6023) Prec@1 36.250 (36.822) Prec@5 65.625 (67.552) Epoch: [21][9220/11272] Time 0.718 (0.809) Data 0.001 (0.002) Loss 2.3044 (2.6022) Prec@1 40.000 (36.823) Prec@5 75.000 (67.553) Epoch: [21][9230/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.4905 (2.6023) Prec@1 37.500 (36.823) Prec@5 66.250 (67.554) Epoch: [21][9240/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.5734 (2.6023) Prec@1 38.125 (36.822) Prec@5 68.750 (67.554) Epoch: [21][9250/11272] Time 0.756 (0.809) Data 0.002 (0.002) Loss 2.6698 (2.6022) Prec@1 35.625 (36.823) Prec@5 65.000 (67.553) Epoch: [21][9260/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.6927 (2.6022) Prec@1 37.500 (36.823) Prec@5 65.625 (67.551) Epoch: [21][9270/11272] Time 0.910 (0.809) Data 0.002 (0.002) Loss 2.6297 (2.6023) Prec@1 35.625 (36.823) Prec@5 69.375 (67.550) Epoch: [21][9280/11272] Time 0.751 (0.809) Data 0.003 (0.002) Loss 2.6257 (2.6023) Prec@1 35.000 (36.822) Prec@5 66.250 (67.549) Epoch: [21][9290/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.5285 (2.6024) Prec@1 38.750 (36.820) Prec@5 70.625 (67.547) Epoch: [21][9300/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.4269 (2.6023) Prec@1 38.750 (36.820) Prec@5 69.375 (67.546) Epoch: [21][9310/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.3489 (2.6023) Prec@1 44.375 (36.820) Prec@5 69.375 (67.546) Epoch: [21][9320/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.7046 (2.6023) Prec@1 36.875 (36.822) Prec@5 67.500 (67.547) Epoch: [21][9330/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 2.7167 (2.6023) Prec@1 36.250 (36.823) Prec@5 62.500 (67.548) Epoch: [21][9340/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.5729 (2.6023) Prec@1 36.875 (36.823) Prec@5 67.500 (67.547) Epoch: [21][9350/11272] Time 0.913 (0.809) Data 0.002 (0.002) Loss 2.6575 (2.6023) Prec@1 36.250 (36.826) Prec@5 65.625 (67.548) Epoch: [21][9360/11272] Time 0.726 (0.809) Data 0.001 (0.002) Loss 2.4067 (2.6022) Prec@1 41.875 (36.826) Prec@5 68.750 (67.549) Epoch: [21][9370/11272] Time 0.842 (0.809) Data 0.002 (0.002) Loss 2.6599 (2.6022) Prec@1 34.375 (36.825) Prec@5 65.000 (67.548) Epoch: [21][9380/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.5778 (2.6022) Prec@1 40.625 (36.828) Prec@5 69.375 (67.550) Epoch: [21][9390/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.4537 (2.6022) Prec@1 36.875 (36.826) Prec@5 70.000 (67.549) Epoch: [21][9400/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 3.0016 (2.6022) Prec@1 29.375 (36.824) Prec@5 64.375 (67.549) Epoch: [21][9410/11272] Time 0.875 (0.809) Data 0.001 (0.002) Loss 2.4451 (2.6022) Prec@1 45.000 (36.826) Prec@5 70.625 (67.550) Epoch: [21][9420/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.3629 (2.6022) Prec@1 38.750 (36.826) Prec@5 68.750 (67.549) Epoch: [21][9430/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.8442 (2.6022) Prec@1 33.750 (36.826) Prec@5 67.500 (67.549) Epoch: [21][9440/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.6147 (2.6022) Prec@1 41.875 (36.826) Prec@5 68.750 (67.549) Epoch: [21][9450/11272] Time 0.857 (0.808) Data 0.001 (0.002) Loss 2.6986 (2.6022) Prec@1 36.875 (36.826) Prec@5 65.000 (67.548) Epoch: [21][9460/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.4087 (2.6021) Prec@1 41.875 (36.825) Prec@5 70.000 (67.549) Epoch: [21][9470/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.6840 (2.6021) Prec@1 37.500 (36.827) Prec@5 66.250 (67.551) Epoch: [21][9480/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.6658 (2.6021) Prec@1 32.500 (36.828) Prec@5 66.250 (67.551) Epoch: [21][9490/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.8104 (2.6021) Prec@1 34.375 (36.827) Prec@5 63.750 (67.551) Epoch: [21][9500/11272] Time 0.746 (0.808) Data 0.003 (0.002) Loss 2.6290 (2.6022) Prec@1 36.250 (36.827) Prec@5 66.250 (67.549) Epoch: [21][9510/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.7851 (2.6022) Prec@1 34.375 (36.827) Prec@5 67.500 (67.548) Epoch: [21][9520/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.6121 (2.6021) Prec@1 39.375 (36.829) Prec@5 67.500 (67.551) Epoch: [21][9530/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.6900 (2.6022) Prec@1 36.250 (36.828) Prec@5 65.000 (67.548) Epoch: [21][9540/11272] Time 0.727 (0.808) Data 0.002 (0.002) Loss 2.6116 (2.6023) Prec@1 36.250 (36.829) Prec@5 67.500 (67.547) Epoch: [21][9550/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.6226 (2.6023) Prec@1 32.500 (36.826) Prec@5 67.500 (67.548) Epoch: [21][9560/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.6788 (2.6023) Prec@1 33.125 (36.824) Prec@5 68.750 (67.550) Epoch: [21][9570/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4295 (2.6023) Prec@1 39.375 (36.823) Prec@5 70.625 (67.548) Epoch: [21][9580/11272] Time 0.711 (0.808) Data 0.001 (0.002) Loss 2.6810 (2.6023) Prec@1 36.250 (36.823) Prec@5 67.500 (67.547) Epoch: [21][9590/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.5824 (2.6024) Prec@1 36.250 (36.823) Prec@5 66.875 (67.546) Epoch: [21][9600/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.2081 (2.6024) Prec@1 43.750 (36.821) Prec@5 72.500 (67.544) Epoch: [21][9610/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.4598 (2.6024) Prec@1 43.125 (36.821) Prec@5 70.000 (67.544) Epoch: [21][9620/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.5328 (2.6024) Prec@1 36.250 (36.821) Prec@5 75.000 (67.544) Epoch: [21][9630/11272] Time 0.831 (0.808) Data 0.001 (0.002) Loss 2.5483 (2.6024) Prec@1 31.250 (36.820) Prec@5 74.375 (67.543) Epoch: [21][9640/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.6522 (2.6025) Prec@1 39.375 (36.820) Prec@5 65.625 (67.543) Epoch: [21][9650/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.2815 (2.6024) Prec@1 39.375 (36.821) Prec@5 73.125 (67.543) Epoch: [21][9660/11272] Time 0.806 (0.808) Data 0.002 (0.002) Loss 2.6171 (2.6024) Prec@1 40.000 (36.821) Prec@5 66.250 (67.545) Epoch: [21][9670/11272] Time 0.916 (0.808) Data 0.002 (0.002) Loss 2.5747 (2.6024) Prec@1 38.750 (36.822) Prec@5 66.875 (67.546) Epoch: [21][9680/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6938 (2.6024) Prec@1 31.250 (36.821) Prec@5 63.125 (67.545) Epoch: [21][9690/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.6980 (2.6024) Prec@1 35.625 (36.821) Prec@5 66.250 (67.545) Epoch: [21][9700/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.6286 (2.6024) Prec@1 37.500 (36.822) Prec@5 66.250 (67.545) Epoch: [21][9710/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.6711 (2.6024) Prec@1 31.250 (36.821) Prec@5 68.125 (67.546) Epoch: [21][9720/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.5622 (2.6024) Prec@1 37.500 (36.821) Prec@5 66.250 (67.547) Epoch: [21][9730/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.6090 (2.6024) Prec@1 36.875 (36.822) Prec@5 69.375 (67.546) Epoch: [21][9740/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.3995 (2.6023) Prec@1 42.500 (36.824) Prec@5 71.875 (67.546) Epoch: [21][9750/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.7160 (2.6023) Prec@1 36.875 (36.826) Prec@5 66.250 (67.548) Epoch: [21][9760/11272] Time 0.737 (0.808) Data 0.003 (0.002) Loss 2.8442 (2.6023) Prec@1 34.375 (36.825) Prec@5 65.000 (67.547) Epoch: [21][9770/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.6520 (2.6023) Prec@1 31.250 (36.825) Prec@5 65.000 (67.548) Epoch: [21][9780/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5470 (2.6022) Prec@1 33.125 (36.826) Prec@5 71.250 (67.549) Epoch: [21][9790/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6263 (2.6023) Prec@1 35.625 (36.825) Prec@5 70.625 (67.548) Epoch: [21][9800/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.5804 (2.6022) Prec@1 36.875 (36.826) Prec@5 65.625 (67.548) Epoch: [21][9810/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.6528 (2.6023) Prec@1 36.875 (36.825) Prec@5 66.250 (67.547) Epoch: [21][9820/11272] Time 0.918 (0.808) Data 0.002 (0.002) Loss 2.8867 (2.6024) Prec@1 33.750 (36.824) Prec@5 59.375 (67.544) Epoch: [21][9830/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.7135 (2.6024) Prec@1 38.750 (36.825) Prec@5 66.875 (67.544) Epoch: [21][9840/11272] Time 0.716 (0.808) Data 0.001 (0.002) Loss 2.6697 (2.6024) Prec@1 39.375 (36.826) Prec@5 68.125 (67.544) Epoch: [21][9850/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.4844 (2.6023) Prec@1 37.500 (36.827) Prec@5 70.625 (67.545) Epoch: [21][9860/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.3866 (2.6023) Prec@1 41.875 (36.827) Prec@5 69.375 (67.546) Epoch: [21][9870/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.7189 (2.6024) Prec@1 39.375 (36.825) Prec@5 70.000 (67.545) Epoch: [21][9880/11272] Time 0.720 (0.808) Data 0.001 (0.002) Loss 2.5825 (2.6023) Prec@1 32.500 (36.827) Prec@5 70.000 (67.547) Epoch: [21][9890/11272] Time 0.830 (0.808) Data 0.001 (0.002) Loss 2.4194 (2.6022) Prec@1 38.125 (36.828) Prec@5 66.875 (67.548) Epoch: [21][9900/11272] Time 0.829 (0.808) Data 0.001 (0.002) Loss 2.6734 (2.6023) Prec@1 40.000 (36.827) Prec@5 63.750 (67.547) Epoch: [21][9910/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.6788 (2.6023) Prec@1 33.125 (36.825) Prec@5 66.875 (67.547) Epoch: [21][9920/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.7781 (2.6024) Prec@1 30.000 (36.823) Prec@5 66.250 (67.546) Epoch: [21][9930/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.7427 (2.6024) Prec@1 32.500 (36.822) Prec@5 61.875 (67.543) Epoch: [21][9940/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.6637 (2.6025) Prec@1 38.125 (36.821) Prec@5 65.625 (67.543) Epoch: [21][9950/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.6101 (2.6025) Prec@1 32.500 (36.820) Prec@5 68.125 (67.543) Epoch: [21][9960/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.4571 (2.6025) Prec@1 41.250 (36.822) Prec@5 73.750 (67.545) Epoch: [21][9970/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.5063 (2.6024) Prec@1 34.375 (36.824) Prec@5 68.125 (67.546) Epoch: [21][9980/11272] Time 0.831 (0.808) Data 0.001 (0.002) Loss 2.5832 (2.6025) Prec@1 37.500 (36.823) Prec@5 66.875 (67.544) Epoch: [21][9990/11272] Time 0.719 (0.808) Data 0.001 (0.002) Loss 2.6309 (2.6025) Prec@1 33.750 (36.825) Prec@5 66.250 (67.544) Epoch: [21][10000/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.7215 (2.6024) Prec@1 33.750 (36.826) Prec@5 63.750 (67.545) Epoch: [21][10010/11272] Time 0.839 (0.808) Data 0.002 (0.002) Loss 2.3853 (2.6024) Prec@1 43.125 (36.828) Prec@5 71.250 (67.546) Epoch: [21][10020/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.7982 (2.6024) Prec@1 39.375 (36.827) Prec@5 63.750 (67.545) Epoch: [21][10030/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.4731 (2.6024) Prec@1 40.625 (36.826) Prec@5 71.250 (67.545) Epoch: [21][10040/11272] Time 0.964 (0.808) Data 0.001 (0.002) Loss 2.9429 (2.6025) Prec@1 34.375 (36.825) Prec@5 60.625 (67.544) Epoch: [21][10050/11272] Time 0.861 (0.808) Data 0.001 (0.002) Loss 2.4486 (2.6025) Prec@1 41.250 (36.826) Prec@5 69.375 (67.544) Epoch: [21][10060/11272] Time 0.761 (0.808) Data 0.002 (0.002) Loss 2.7761 (2.6025) Prec@1 34.375 (36.826) Prec@5 65.000 (67.542) Epoch: [21][10070/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.2602 (2.6025) Prec@1 44.375 (36.827) Prec@5 69.375 (67.542) Epoch: [21][10080/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.6356 (2.6026) Prec@1 34.375 (36.826) Prec@5 68.750 (67.542) Epoch: [21][10090/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.5118 (2.6025) Prec@1 36.250 (36.827) Prec@5 68.750 (67.543) Epoch: [21][10100/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.5731 (2.6025) Prec@1 37.500 (36.828) Prec@5 67.500 (67.543) Epoch: [21][10110/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.7329 (2.6026) Prec@1 32.500 (36.825) Prec@5 63.125 (67.541) Epoch: [21][10120/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.6253 (2.6025) Prec@1 35.000 (36.824) Prec@5 67.500 (67.541) Epoch: [21][10130/11272] Time 0.872 (0.808) Data 0.001 (0.002) Loss 2.6348 (2.6026) Prec@1 38.750 (36.824) Prec@5 70.000 (67.541) Epoch: [21][10140/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.4580 (2.6026) Prec@1 41.250 (36.823) Prec@5 67.500 (67.541) Epoch: [21][10150/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.9926 (2.6027) Prec@1 35.000 (36.822) Prec@5 60.000 (67.540) Epoch: [21][10160/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.5589 (2.6027) Prec@1 34.375 (36.821) Prec@5 66.875 (67.540) Epoch: [21][10170/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.5027 (2.6026) Prec@1 36.875 (36.822) Prec@5 68.125 (67.540) Epoch: [21][10180/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.4480 (2.6026) Prec@1 40.000 (36.822) Prec@5 73.750 (67.540) Epoch: [21][10190/11272] Time 0.858 (0.808) Data 0.001 (0.002) Loss 2.4545 (2.6026) Prec@1 44.375 (36.822) Prec@5 67.500 (67.539) Epoch: [21][10200/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.7083 (2.6027) Prec@1 36.875 (36.821) Prec@5 63.125 (67.537) Epoch: [21][10210/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.7651 (2.6027) Prec@1 35.625 (36.821) Prec@5 68.750 (67.538) Epoch: [21][10220/11272] Time 0.778 (0.808) Data 0.002 (0.002) Loss 2.8355 (2.6028) Prec@1 32.500 (36.821) Prec@5 62.500 (67.537) Epoch: [21][10230/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.6334 (2.6028) Prec@1 33.125 (36.819) Prec@5 67.500 (67.537) Epoch: [21][10240/11272] Time 0.846 (0.808) Data 0.001 (0.002) Loss 2.5255 (2.6028) Prec@1 35.000 (36.819) Prec@5 70.000 (67.537) Epoch: [21][10250/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.7360 (2.6027) Prec@1 33.750 (36.820) Prec@5 64.375 (67.539) Epoch: [21][10260/11272] Time 0.721 (0.808) Data 0.002 (0.002) Loss 2.4844 (2.6027) Prec@1 39.375 (36.820) Prec@5 73.125 (67.539) Epoch: [21][10270/11272] Time 0.825 (0.808) Data 0.001 (0.002) Loss 2.6675 (2.6027) Prec@1 33.750 (36.819) Prec@5 67.500 (67.538) Epoch: [21][10280/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.7154 (2.6028) Prec@1 32.500 (36.819) Prec@5 63.125 (67.537) Epoch: [21][10290/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.5558 (2.6028) Prec@1 41.250 (36.820) Prec@5 70.000 (67.537) Epoch: [21][10300/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.6840 (2.6029) Prec@1 34.375 (36.818) Prec@5 65.625 (67.535) Epoch: [21][10310/11272] Time 0.911 (0.808) Data 0.002 (0.002) Loss 2.6632 (2.6029) Prec@1 36.250 (36.818) Prec@5 63.750 (67.534) Epoch: [21][10320/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.5196 (2.6029) Prec@1 39.375 (36.819) Prec@5 68.125 (67.534) Epoch: [21][10330/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.5179 (2.6030) Prec@1 39.375 (36.817) Prec@5 73.125 (67.533) Epoch: [21][10340/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.2012 (2.6030) Prec@1 41.250 (36.817) Prec@5 78.125 (67.534) Epoch: [21][10350/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4835 (2.6030) Prec@1 38.125 (36.816) Prec@5 70.000 (67.534) Epoch: [21][10360/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.6354 (2.6029) Prec@1 41.250 (36.818) Prec@5 65.625 (67.535) Epoch: [21][10370/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.7354 (2.6030) Prec@1 40.000 (36.818) Prec@5 62.500 (67.535) Epoch: [21][10380/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.6909 (2.6030) Prec@1 35.625 (36.819) Prec@5 63.750 (67.536) Epoch: [21][10390/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.3495 (2.6029) Prec@1 44.375 (36.821) Prec@5 73.750 (67.537) Epoch: [21][10400/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.4588 (2.6029) Prec@1 40.625 (36.821) Prec@5 72.500 (67.538) Epoch: [21][10410/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.4894 (2.6028) Prec@1 35.000 (36.823) Prec@5 68.125 (67.540) Epoch: [21][10420/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.5207 (2.6027) Prec@1 41.250 (36.823) Prec@5 71.875 (67.540) Epoch: [21][10430/11272] Time 0.729 (0.808) Data 0.003 (0.002) Loss 2.6011 (2.6027) Prec@1 38.750 (36.823) Prec@5 64.375 (67.540) Epoch: [21][10440/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.7882 (2.6027) Prec@1 31.250 (36.822) Prec@5 67.500 (67.542) Epoch: [21][10450/11272] Time 0.865 (0.808) Data 0.001 (0.002) Loss 2.4378 (2.6027) Prec@1 36.250 (36.823) Prec@5 72.500 (67.541) Epoch: [21][10460/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.6150 (2.6028) Prec@1 37.500 (36.822) Prec@5 70.000 (67.541) Epoch: [21][10470/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.5839 (2.6028) Prec@1 34.375 (36.821) Prec@5 65.000 (67.541) Epoch: [21][10480/11272] Time 0.728 (0.808) Data 0.002 (0.002) Loss 2.4497 (2.6029) Prec@1 40.000 (36.822) Prec@5 74.375 (67.541) Epoch: [21][10490/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.9138 (2.6029) Prec@1 31.250 (36.821) Prec@5 61.875 (67.541) Epoch: [21][10500/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.6853 (2.6029) Prec@1 36.875 (36.821) Prec@5 69.375 (67.541) Epoch: [21][10510/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.6177 (2.6030) Prec@1 33.750 (36.817) Prec@5 68.125 (67.540) Epoch: [21][10520/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.7584 (2.6031) Prec@1 31.250 (36.817) Prec@5 70.000 (67.539) Epoch: [21][10530/11272] Time 0.895 (0.808) Data 0.002 (0.002) Loss 2.7497 (2.6031) Prec@1 35.000 (36.815) Prec@5 63.750 (67.537) Epoch: [21][10540/11272] Time 0.852 (0.808) Data 0.002 (0.002) Loss 2.6680 (2.6031) Prec@1 34.375 (36.815) Prec@5 63.750 (67.536) Epoch: [21][10550/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.4665 (2.6031) Prec@1 40.000 (36.816) Prec@5 73.750 (67.537) Epoch: [21][10560/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.6149 (2.6032) Prec@1 39.375 (36.816) Prec@5 69.375 (67.537) Epoch: [21][10570/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.6096 (2.6032) Prec@1 36.875 (36.816) Prec@5 69.375 (67.538) Epoch: [21][10580/11272] Time 0.731 (0.808) Data 0.002 (0.002) Loss 2.7432 (2.6032) Prec@1 39.375 (36.816) Prec@5 60.000 (67.537) Epoch: [21][10590/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.0910 (2.6032) Prec@1 46.875 (36.816) Prec@5 75.625 (67.537) Epoch: [21][10600/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.6403 (2.6032) Prec@1 38.125 (36.815) Prec@5 65.000 (67.536) Epoch: [21][10610/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4958 (2.6032) Prec@1 38.750 (36.814) Prec@5 69.375 (67.536) Epoch: [21][10620/11272] Time 0.734 (0.808) Data 0.002 (0.002) Loss 2.8214 (2.6032) Prec@1 31.250 (36.813) Prec@5 63.750 (67.536) Epoch: [21][10630/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.6347 (2.6032) Prec@1 34.375 (36.813) Prec@5 68.750 (67.537) Epoch: [21][10640/11272] Time 0.824 (0.808) Data 0.001 (0.002) Loss 2.5426 (2.6032) Prec@1 36.250 (36.813) Prec@5 68.750 (67.536) Epoch: [21][10650/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.4556 (2.6031) Prec@1 41.250 (36.814) Prec@5 65.625 (67.538) Epoch: [21][10660/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.7155 (2.6031) Prec@1 33.750 (36.814) Prec@5 61.875 (67.538) Epoch: [21][10670/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.5955 (2.6032) Prec@1 38.125 (36.813) Prec@5 68.125 (67.538) Epoch: [21][10680/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 2.9074 (2.6032) Prec@1 35.000 (36.813) Prec@5 63.125 (67.537) Epoch: [21][10690/11272] Time 0.754 (0.808) Data 0.003 (0.002) Loss 2.6267 (2.6032) Prec@1 38.125 (36.812) Prec@5 66.875 (67.537) Epoch: [21][10700/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.5187 (2.6032) Prec@1 35.000 (36.812) Prec@5 71.875 (67.538) Epoch: [21][10710/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.7225 (2.6033) Prec@1 34.375 (36.810) Prec@5 61.250 (67.536) Epoch: [21][10720/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.4008 (2.6033) Prec@1 40.000 (36.810) Prec@5 70.625 (67.536) Epoch: [21][10730/11272] Time 0.724 (0.808) Data 0.002 (0.002) Loss 2.5071 (2.6033) Prec@1 38.750 (36.809) Prec@5 70.000 (67.536) Epoch: [21][10740/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.4776 (2.6032) Prec@1 36.250 (36.811) Prec@5 65.625 (67.537) Epoch: [21][10750/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.7369 (2.6032) Prec@1 35.000 (36.813) Prec@5 68.750 (67.538) Epoch: [21][10760/11272] Time 0.915 (0.808) Data 0.002 (0.002) Loss 2.6049 (2.6032) Prec@1 39.375 (36.813) Prec@5 70.000 (67.537) Epoch: [21][10770/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5977 (2.6033) Prec@1 38.125 (36.811) Prec@5 67.500 (67.537) Epoch: [21][10780/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6195 (2.6033) Prec@1 36.875 (36.811) Prec@5 62.500 (67.537) Epoch: [21][10790/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.5703 (2.6033) Prec@1 36.875 (36.810) Prec@5 68.750 (67.537) Epoch: [21][10800/11272] Time 0.866 (0.808) Data 0.001 (0.002) Loss 2.6842 (2.6033) Prec@1 36.875 (36.809) Prec@5 68.125 (67.536) Epoch: [21][10810/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.5643 (2.6033) Prec@1 34.375 (36.809) Prec@5 73.750 (67.537) Epoch: [21][10820/11272] Time 0.849 (0.808) Data 0.001 (0.002) Loss 2.6407 (2.6033) Prec@1 40.000 (36.811) Prec@5 68.125 (67.539) Epoch: [21][10830/11272] Time 0.908 (0.808) Data 0.002 (0.002) Loss 2.5551 (2.6033) Prec@1 38.750 (36.811) Prec@5 70.000 (67.539) Epoch: [21][10840/11272] Time 0.724 (0.808) Data 0.002 (0.002) Loss 2.7262 (2.6033) Prec@1 38.750 (36.811) Prec@5 63.125 (67.538) Epoch: [21][10850/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.7558 (2.6034) Prec@1 31.250 (36.811) Prec@5 62.500 (67.535) Epoch: [21][10860/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.5466 (2.6033) Prec@1 38.750 (36.810) Prec@5 68.750 (67.536) Epoch: [21][10870/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.3186 (2.6033) Prec@1 43.125 (36.811) Prec@5 68.750 (67.537) Epoch: [21][10880/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.5502 (2.6033) Prec@1 36.250 (36.811) Prec@5 71.250 (67.538) Epoch: [21][10890/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.4275 (2.6034) Prec@1 47.500 (36.810) Prec@5 68.750 (67.536) Epoch: [21][10900/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.3602 (2.6034) Prec@1 43.125 (36.808) Prec@5 71.250 (67.536) Epoch: [21][10910/11272] Time 0.929 (0.808) Data 0.002 (0.002) Loss 2.5255 (2.6034) Prec@1 36.250 (36.809) Prec@5 69.375 (67.535) Epoch: [21][10920/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.3239 (2.6034) Prec@1 43.750 (36.809) Prec@5 71.250 (67.536) Epoch: [21][10930/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.5870 (2.6034) Prec@1 41.250 (36.809) Prec@5 70.000 (67.536) Epoch: [21][10940/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.4945 (2.6034) Prec@1 41.875 (36.810) Prec@5 71.875 (67.536) Epoch: [21][10950/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.5517 (2.6034) Prec@1 36.875 (36.808) Prec@5 69.375 (67.537) Epoch: [21][10960/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.7830 (2.6035) Prec@1 30.625 (36.807) Prec@5 61.875 (67.535) Epoch: [21][10970/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.3207 (2.6035) Prec@1 43.750 (36.807) Prec@5 73.750 (67.536) Epoch: [21][10980/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.6586 (2.6036) Prec@1 33.125 (36.805) Prec@5 68.125 (67.535) Epoch: [21][10990/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.6967 (2.6036) Prec@1 35.625 (36.804) Prec@5 64.375 (67.534) Epoch: [21][11000/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.6038 (2.6036) Prec@1 35.000 (36.806) Prec@5 68.750 (67.536) Epoch: [21][11010/11272] Time 0.932 (0.808) Data 0.002 (0.002) Loss 3.0166 (2.6036) Prec@1 30.625 (36.807) Prec@5 60.000 (67.535) Epoch: [21][11020/11272] Time 0.848 (0.808) Data 0.001 (0.002) Loss 2.3904 (2.6036) Prec@1 37.500 (36.806) Prec@5 73.125 (67.535) Epoch: [21][11030/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.4141 (2.6037) Prec@1 40.625 (36.806) Prec@5 72.500 (67.534) Epoch: [21][11040/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.6832 (2.6037) Prec@1 31.875 (36.805) Prec@5 65.625 (67.532) Epoch: [21][11050/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.6746 (2.6037) Prec@1 40.000 (36.806) Prec@5 63.125 (67.532) Epoch: [21][11060/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.7629 (2.6037) Prec@1 36.875 (36.805) Prec@5 63.125 (67.531) Epoch: [21][11070/11272] Time 0.735 (0.808) Data 0.002 (0.002) Loss 2.6367 (2.6037) Prec@1 36.250 (36.806) Prec@5 67.500 (67.532) Epoch: [21][11080/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5353 (2.6036) Prec@1 42.500 (36.808) Prec@5 68.125 (67.533) Epoch: [21][11090/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.7537 (2.6036) Prec@1 31.875 (36.806) Prec@5 63.125 (67.533) Epoch: [21][11100/11272] Time 0.749 (0.808) Data 0.001 (0.002) Loss 2.5078 (2.6036) Prec@1 40.000 (36.806) Prec@5 64.375 (67.533) Epoch: [21][11110/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.9523 (2.6037) Prec@1 26.875 (36.805) Prec@5 63.750 (67.533) Epoch: [21][11120/11272] Time 0.858 (0.808) Data 0.001 (0.002) Loss 2.9478 (2.6037) Prec@1 33.125 (36.805) Prec@5 60.000 (67.532) Epoch: [21][11130/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.4637 (2.6036) Prec@1 39.375 (36.805) Prec@5 69.375 (67.532) Epoch: [21][11140/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.5656 (2.6036) Prec@1 35.000 (36.806) Prec@5 68.125 (67.532) Epoch: [21][11150/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5105 (2.6036) Prec@1 36.250 (36.806) Prec@5 70.625 (67.532) Epoch: [21][11160/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.5297 (2.6036) Prec@1 39.375 (36.806) Prec@5 66.250 (67.532) Epoch: [21][11170/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.2498 (2.6037) Prec@1 47.500 (36.806) Prec@5 76.250 (67.532) Epoch: [21][11180/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.7742 (2.6037) Prec@1 33.750 (36.807) Prec@5 63.750 (67.532) Epoch: [21][11190/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.9093 (2.6037) Prec@1 29.375 (36.807) Prec@5 57.500 (67.530) Epoch: [21][11200/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.3854 (2.6036) Prec@1 40.000 (36.809) Prec@5 71.875 (67.531) Epoch: [21][11210/11272] Time 0.819 (0.808) Data 0.001 (0.002) Loss 2.7131 (2.6036) Prec@1 34.375 (36.808) Prec@5 65.625 (67.531) Epoch: [21][11220/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.6573 (2.6036) Prec@1 41.875 (36.808) Prec@5 68.750 (67.532) Epoch: [21][11230/11272] Time 0.887 (0.808) Data 0.001 (0.002) Loss 2.8372 (2.6037) Prec@1 36.250 (36.807) Prec@5 61.875 (67.529) Epoch: [21][11240/11272] Time 0.866 (0.808) Data 0.001 (0.002) Loss 2.4679 (2.6038) Prec@1 36.250 (36.806) Prec@5 68.125 (67.528) Epoch: [21][11250/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.8888 (2.6038) Prec@1 28.750 (36.807) Prec@5 57.500 (67.528) Epoch: [21][11260/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.4413 (2.6038) Prec@1 38.750 (36.805) Prec@5 72.500 (67.528) Epoch: [21][11270/11272] Time 0.800 (0.808) Data 0.000 (0.002) Loss 2.5276 (2.6038) Prec@1 41.875 (36.806) Prec@5 69.375 (67.528) Test: [0/229] Time 1.536 (1.536) Loss 1.4761 (1.4761) Prec@1 60.625 (60.625) Prec@5 93.125 (93.125) Test: [10/229] Time 0.331 (0.481) Loss 1.4199 (2.1101) Prec@1 59.375 (46.420) Prec@5 91.875 (79.602) Test: [20/229] Time 0.370 (0.428) Loss 2.5260 (2.1701) Prec@1 32.500 (44.464) Prec@5 71.875 (77.619) Test: [30/229] Time 0.338 (0.412) Loss 2.4433 (2.1406) Prec@1 35.000 (44.798) Prec@5 75.625 (77.964) Test: [40/229] Time 0.411 (0.404) Loss 0.8611 (2.1033) Prec@1 82.500 (45.473) Prec@5 90.000 (78.643) Test: [50/229] Time 0.465 (0.400) Loss 2.0080 (2.1291) Prec@1 50.625 (45.184) Prec@5 81.875 (77.757) Test: [60/229] Time 0.332 (0.396) Loss 3.1999 (2.1874) Prec@1 18.750 (44.027) Prec@5 55.625 (76.342) Test: [70/229] Time 0.429 (0.393) Loss 1.3508 (2.2004) Prec@1 68.750 (43.812) Prec@5 86.875 (75.977) Test: [80/229] Time 0.350 (0.392) Loss 2.6674 (2.2081) Prec@1 23.750 (43.457) Prec@5 69.375 (75.965) Test: [90/229] Time 0.429 (0.392) Loss 2.0446 (2.2153) Prec@1 53.750 (43.352) Prec@5 75.625 (75.810) Test: [100/229] Time 0.320 (0.389) Loss 2.5497 (2.2084) Prec@1 36.875 (43.601) Prec@5 78.750 (76.064) Test: [110/229] Time 0.338 (0.388) Loss 2.2705 (2.2024) Prec@1 41.875 (43.767) Prec@5 73.750 (76.109) Test: [120/229] Time 0.414 (0.388) Loss 3.6033 (2.2220) Prec@1 18.125 (43.151) Prec@5 53.750 (75.919) Test: [130/229] Time 0.367 (0.387) Loss 1.8061 (2.2048) Prec@1 48.125 (43.545) Prec@5 83.750 (76.202) Test: [140/229] Time 0.425 (0.386) Loss 2.4833 (2.2217) Prec@1 36.875 (43.059) Prec@5 72.500 (75.993) Test: [150/229] Time 0.338 (0.386) Loss 1.4049 (2.2331) Prec@1 68.125 (42.856) Prec@5 85.625 (75.865) Test: [160/229] Time 0.390 (0.385) Loss 2.6274 (2.2468) Prec@1 35.000 (42.613) Prec@5 76.250 (75.625) Test: [170/229] Time 0.298 (0.384) Loss 1.8590 (2.2746) Prec@1 55.000 (41.966) Prec@5 82.500 (75.113) Test: [180/229] Time 0.350 (0.384) Loss 2.9555 (2.2804) Prec@1 23.125 (41.923) Prec@5 59.375 (74.903) Test: [190/229] Time 0.478 (0.384) Loss 1.6654 (2.2753) Prec@1 56.250 (42.170) Prec@5 88.750 (74.948) Test: [200/229] Time 0.312 (0.383) Loss 2.1865 (2.2611) Prec@1 41.250 (42.369) Prec@5 76.250 (75.330) Test: [210/229] Time 0.393 (0.382) Loss 1.7076 (2.2580) Prec@1 46.875 (42.405) Prec@5 87.500 (75.415) Test: [220/229] Time 0.401 (0.383) Loss 2.1533 (2.2423) Prec@1 46.875 (42.921) Prec@5 80.000 (75.611) * Prec@1 43.260 Prec@5 75.710 Epoch: [22][0/11272] Time 2.703 (2.703) Data 1.818 (1.818) Loss 2.8014 (2.8014) Prec@1 27.500 (27.500) Prec@5 61.875 (61.875) Epoch: [22][10/11272] Time 0.874 (0.989) Data 0.002 (0.167) Loss 2.6235 (2.6666) Prec@1 33.750 (35.170) Prec@5 70.000 (66.705) Epoch: [22][20/11272] Time 0.877 (0.909) Data 0.002 (0.088) Loss 2.4452 (2.6350) Prec@1 38.125 (35.238) Prec@5 73.125 (67.024) Epoch: [22][30/11272] Time 0.754 (0.877) Data 0.002 (0.060) Loss 2.5210 (2.6078) Prec@1 44.375 (36.452) Prec@5 63.750 (67.823) Epoch: [22][40/11272] Time 0.837 (0.858) Data 0.002 (0.046) Loss 2.6450 (2.6122) Prec@1 40.625 (36.479) Prec@5 66.250 (67.759) Epoch: [22][50/11272] Time 0.839 (0.847) Data 0.001 (0.037) Loss 2.5269 (2.5805) Prec@1 40.000 (36.998) Prec@5 70.625 (68.223) Epoch: [22][60/11272] Time 0.725 (0.838) Data 0.002 (0.031) Loss 2.5023 (2.5893) Prec@1 39.375 (36.742) Prec@5 65.625 (67.869) Epoch: [22][70/11272] Time 0.736 (0.832) Data 0.001 (0.027) Loss 2.5686 (2.5914) Prec@1 37.500 (36.743) Prec@5 66.250 (67.835) Epoch: [22][80/11272] Time 0.855 (0.829) Data 0.002 (0.024) Loss 2.3326 (2.5936) Prec@1 41.875 (36.844) Prec@5 75.625 (67.801) Epoch: [22][90/11272] Time 0.856 (0.826) Data 0.002 (0.022) Loss 2.5772 (2.5969) Prec@1 35.000 (36.683) Prec@5 67.500 (67.816) Epoch: [22][100/11272] Time 0.729 (0.824) Data 0.001 (0.020) Loss 2.5271 (2.5968) Prec@1 41.875 (36.708) Prec@5 68.750 (67.828) Epoch: [22][110/11272] Time 0.760 (0.822) Data 0.001 (0.018) Loss 2.6049 (2.5992) Prec@1 39.375 (36.684) Prec@5 66.875 (67.770) Epoch: [22][120/11272] Time 0.882 (0.822) Data 0.001 (0.017) Loss 2.5785 (2.5938) Prec@1 32.500 (36.653) Prec@5 67.500 (67.836) Epoch: [22][130/11272] Time 0.851 (0.820) Data 0.002 (0.015) Loss 2.8390 (2.5992) Prec@1 36.250 (36.660) Prec@5 62.500 (67.724) Epoch: [22][140/11272] Time 0.725 (0.818) Data 0.001 (0.015) Loss 2.7575 (2.6038) Prec@1 31.875 (36.587) Prec@5 67.500 (67.695) Epoch: [22][150/11272] Time 0.769 (0.817) Data 0.002 (0.014) Loss 2.3201 (2.6056) Prec@1 45.625 (36.556) Prec@5 73.125 (67.628) Epoch: [22][160/11272] Time 0.913 (0.817) Data 0.002 (0.013) Loss 2.5815 (2.6101) Prec@1 33.750 (36.432) Prec@5 68.125 (67.585) Epoch: [22][170/11272] Time 0.733 (0.816) Data 0.001 (0.012) Loss 2.7025 (2.6090) Prec@1 37.500 (36.488) Prec@5 70.000 (67.654) Epoch: [22][180/11272] Time 0.713 (0.816) Data 0.001 (0.012) Loss 2.2523 (2.6055) Prec@1 43.750 (36.564) Prec@5 76.250 (67.728) Epoch: [22][190/11272] Time 0.856 (0.817) Data 0.002 (0.011) Loss 2.6080 (2.6099) Prec@1 38.750 (36.567) Prec@5 66.875 (67.579) Epoch: [22][200/11272] Time 0.882 (0.817) Data 0.002 (0.011) Loss 2.8364 (2.6096) Prec@1 28.125 (36.508) Prec@5 65.000 (67.578) Epoch: [22][210/11272] Time 0.722 (0.817) Data 0.001 (0.010) Loss 2.8450 (2.6116) Prec@1 36.250 (36.549) Prec@5 63.125 (67.571) Epoch: [22][220/11272] Time 0.728 (0.817) Data 0.002 (0.010) Loss 2.4718 (2.6093) Prec@1 35.625 (36.547) Prec@5 69.375 (67.610) Epoch: [22][230/11272] Time 0.857 (0.817) Data 0.002 (0.009) Loss 2.8146 (2.6073) Prec@1 33.125 (36.550) Prec@5 62.500 (67.630) Epoch: [22][240/11272] Time 0.878 (0.817) Data 0.002 (0.009) Loss 2.7317 (2.6072) Prec@1 40.000 (36.559) Prec@5 63.750 (67.609) Epoch: [22][250/11272] Time 0.707 (0.817) Data 0.001 (0.009) Loss 2.5425 (2.6050) Prec@1 35.000 (36.638) Prec@5 71.250 (67.632) Epoch: [22][260/11272] Time 0.741 (0.816) Data 0.001 (0.009) Loss 2.3967 (2.6022) Prec@1 43.125 (36.705) Prec@5 71.875 (67.668) Epoch: [22][270/11272] Time 0.854 (0.816) Data 0.002 (0.008) Loss 2.6969 (2.6002) Prec@1 35.000 (36.748) Prec@5 63.750 (67.664) Epoch: [22][280/11272] Time 0.866 (0.815) Data 0.002 (0.008) Loss 2.5627 (2.5968) Prec@1 35.625 (36.766) Prec@5 65.000 (67.714) Epoch: [22][290/11272] Time 0.742 (0.815) Data 0.001 (0.008) Loss 2.6018 (2.5967) Prec@1 38.750 (36.740) Prec@5 65.625 (67.689) Epoch: [22][300/11272] Time 0.804 (0.815) Data 0.001 (0.008) Loss 2.8478 (2.5960) Prec@1 30.000 (36.730) Prec@5 62.500 (67.701) Epoch: [22][310/11272] Time 0.850 (0.814) Data 0.002 (0.007) Loss 2.5806 (2.5924) Prec@1 33.750 (36.799) Prec@5 68.750 (67.799) Epoch: [22][320/11272] Time 0.736 (0.813) Data 0.001 (0.007) Loss 2.6028 (2.5935) Prec@1 38.750 (36.820) Prec@5 70.625 (67.769) Epoch: [22][330/11272] Time 0.747 (0.813) Data 0.001 (0.007) Loss 2.6980 (2.5973) Prec@1 33.125 (36.784) Prec@5 65.000 (67.657) Epoch: [22][340/11272] Time 0.857 (0.813) Data 0.001 (0.007) Loss 2.6497 (2.5988) Prec@1 33.125 (36.760) Prec@5 66.875 (67.639) Epoch: [22][350/11272] Time 0.881 (0.813) Data 0.002 (0.007) Loss 2.6353 (2.5997) Prec@1 38.750 (36.757) Prec@5 65.625 (67.609) Epoch: [22][360/11272] Time 0.733 (0.812) Data 0.001 (0.007) Loss 2.6886 (2.6013) Prec@1 33.750 (36.724) Prec@5 63.125 (67.574) Epoch: [22][370/11272] Time 0.717 (0.812) Data 0.001 (0.007) Loss 2.8094 (2.6018) Prec@1 33.750 (36.723) Prec@5 59.375 (67.559) Epoch: [22][380/11272] Time 0.869 (0.812) Data 0.002 (0.006) Loss 2.9433 (2.6019) Prec@1 39.375 (36.765) Prec@5 56.250 (67.587) Epoch: [22][390/11272] Time 0.907 (0.812) Data 0.002 (0.006) Loss 2.7346 (2.6016) Prec@1 33.125 (36.763) Prec@5 65.625 (67.609) Epoch: [22][400/11272] Time 0.754 (0.812) Data 0.002 (0.006) Loss 2.6304 (2.6025) Prec@1 40.625 (36.760) Prec@5 68.750 (67.598) Epoch: [22][410/11272] Time 0.744 (0.812) Data 0.002 (0.006) Loss 2.8072 (2.6029) Prec@1 34.375 (36.734) Prec@5 66.875 (67.602) Epoch: [22][420/11272] Time 0.849 (0.811) Data 0.002 (0.006) Loss 2.7373 (2.6040) Prec@1 36.875 (36.716) Prec@5 64.375 (67.570) Epoch: [22][430/11272] Time 0.748 (0.811) Data 0.003 (0.006) Loss 2.8648 (2.6044) Prec@1 32.500 (36.726) Prec@5 66.875 (67.587) Epoch: [22][440/11272] Time 0.731 (0.811) Data 0.001 (0.006) Loss 2.5761 (2.6043) Prec@1 36.250 (36.689) Prec@5 67.500 (67.582) Epoch: [22][450/11272] Time 0.870 (0.811) Data 0.002 (0.006) Loss 2.3813 (2.6033) Prec@1 46.875 (36.699) Prec@5 75.000 (67.605) Epoch: [22][460/11272] Time 0.837 (0.811) Data 0.001 (0.006) Loss 2.5900 (2.6023) Prec@1 35.625 (36.719) Prec@5 66.875 (67.633) Epoch: [22][470/11272] Time 0.747 (0.811) Data 0.001 (0.005) Loss 2.7438 (2.6030) Prec@1 39.375 (36.716) Prec@5 66.250 (67.611) Epoch: [22][480/11272] Time 0.729 (0.810) Data 0.001 (0.005) Loss 2.7780 (2.6013) Prec@1 35.625 (36.754) Prec@5 63.125 (67.664) Epoch: [22][490/11272] Time 0.859 (0.810) Data 0.002 (0.005) Loss 2.5129 (2.6009) Prec@1 36.875 (36.746) Prec@5 65.000 (67.671) Epoch: [22][500/11272] Time 0.882 (0.810) Data 0.002 (0.005) Loss 2.3852 (2.6011) Prec@1 39.375 (36.730) Prec@5 71.875 (67.687) Epoch: [22][510/11272] Time 0.779 (0.810) Data 0.002 (0.005) Loss 2.3943 (2.6007) Prec@1 43.125 (36.718) Prec@5 73.125 (67.701) Epoch: [22][520/11272] Time 0.734 (0.810) Data 0.001 (0.005) Loss 2.4639 (2.5995) Prec@1 41.250 (36.738) Prec@5 68.125 (67.717) Epoch: [22][530/11272] Time 0.871 (0.810) Data 0.002 (0.005) Loss 2.7648 (2.5994) Prec@1 35.625 (36.736) Prec@5 61.875 (67.705) Epoch: [22][540/11272] Time 0.861 (0.809) Data 0.002 (0.005) Loss 2.3190 (2.5965) Prec@1 44.375 (36.807) Prec@5 69.375 (67.752) Epoch: [22][550/11272] Time 0.754 (0.809) Data 0.002 (0.005) Loss 2.4932 (2.5970) Prec@1 38.125 (36.797) Prec@5 69.375 (67.745) Epoch: [22][560/11272] Time 0.906 (0.810) Data 0.002 (0.005) Loss 2.4010 (2.5947) Prec@1 33.750 (36.843) Prec@5 73.125 (67.773) Epoch: [22][570/11272] Time 0.869 (0.810) Data 0.001 (0.005) Loss 2.6572 (2.5956) Prec@1 39.375 (36.840) Prec@5 71.250 (67.766) Epoch: [22][580/11272] Time 0.757 (0.810) Data 0.001 (0.005) Loss 2.6011 (2.5967) Prec@1 40.000 (36.826) Prec@5 68.750 (67.764) Epoch: [22][590/11272] Time 0.743 (0.810) Data 0.001 (0.005) Loss 2.5970 (2.5955) Prec@1 37.500 (36.849) Prec@5 69.375 (67.768) Epoch: [22][600/11272] Time 0.844 (0.809) Data 0.001 (0.005) Loss 2.2322 (2.5934) Prec@1 44.375 (36.879) Prec@5 77.500 (67.796) Epoch: [22][610/11272] Time 0.880 (0.809) Data 0.002 (0.005) Loss 2.7879 (2.5930) Prec@1 33.750 (36.884) Prec@5 63.125 (67.798) Epoch: [22][620/11272] Time 0.791 (0.809) Data 0.003 (0.005) Loss 2.3892 (2.5918) Prec@1 44.375 (36.943) Prec@5 71.875 (67.818) Epoch: [22][630/11272] Time 0.729 (0.809) Data 0.001 (0.005) Loss 2.7138 (2.5924) Prec@1 41.250 (36.953) Prec@5 61.875 (67.793) Epoch: [22][640/11272] Time 0.878 (0.809) Data 0.002 (0.004) Loss 2.6259 (2.5919) Prec@1 34.375 (36.976) Prec@5 66.250 (67.802) Epoch: [22][650/11272] Time 0.871 (0.809) Data 0.002 (0.004) Loss 2.5515 (2.5908) Prec@1 38.125 (36.979) Prec@5 67.500 (67.812) Epoch: [22][660/11272] Time 0.741 (0.809) Data 0.001 (0.004) Loss 2.6265 (2.5910) Prec@1 33.125 (36.987) Prec@5 69.375 (67.832) Epoch: [22][670/11272] Time 0.754 (0.809) Data 0.002 (0.004) Loss 2.6029 (2.5914) Prec@1 34.375 (36.963) Prec@5 67.500 (67.814) Epoch: [22][680/11272] Time 0.864 (0.809) Data 0.002 (0.004) Loss 2.3591 (2.5916) Prec@1 44.375 (36.974) Prec@5 73.125 (67.815) Epoch: [22][690/11272] Time 0.804 (0.809) Data 0.005 (0.004) Loss 2.5462 (2.5918) Prec@1 40.625 (36.993) Prec@5 68.750 (67.817) Epoch: [22][700/11272] Time 0.737 (0.809) Data 0.001 (0.004) Loss 2.5578 (2.5911) Prec@1 35.625 (36.988) Prec@5 65.000 (67.815) Epoch: [22][710/11272] Time 0.883 (0.809) Data 0.002 (0.004) Loss 2.4893 (2.5918) Prec@1 40.000 (36.966) Prec@5 70.000 (67.821) Epoch: [22][720/11272] Time 0.855 (0.809) Data 0.002 (0.004) Loss 2.7097 (2.5921) Prec@1 39.375 (36.960) Prec@5 65.000 (67.796) Epoch: [22][730/11272] Time 0.760 (0.809) Data 0.002 (0.004) Loss 2.7433 (2.5928) Prec@1 36.250 (36.946) Prec@5 65.000 (67.787) Epoch: [22][740/11272] Time 0.740 (0.808) Data 0.002 (0.004) Loss 2.5869 (2.5927) Prec@1 35.625 (36.949) Prec@5 72.500 (67.811) Epoch: [22][750/11272] Time 0.878 (0.809) Data 0.001 (0.004) Loss 2.7688 (2.5923) Prec@1 35.625 (36.947) Prec@5 66.250 (67.820) Epoch: [22][760/11272] Time 0.909 (0.808) Data 0.002 (0.004) Loss 2.5642 (2.5921) Prec@1 33.125 (36.945) Prec@5 68.125 (67.807) Epoch: [22][770/11272] Time 0.734 (0.808) Data 0.001 (0.004) Loss 2.5218 (2.5920) Prec@1 34.375 (36.933) Prec@5 70.625 (67.818) Epoch: [22][780/11272] Time 0.737 (0.808) Data 0.001 (0.004) Loss 2.7779 (2.5912) Prec@1 35.625 (36.942) Prec@5 62.500 (67.822) Epoch: [22][790/11272] Time 0.874 (0.808) Data 0.002 (0.004) Loss 2.3158 (2.5911) Prec@1 44.375 (36.952) Prec@5 71.250 (67.823) Epoch: [22][800/11272] Time 0.917 (0.808) Data 0.002 (0.004) Loss 2.7248 (2.5912) Prec@1 35.625 (36.948) Prec@5 68.750 (67.831) Epoch: [22][810/11272] Time 0.737 (0.808) Data 0.001 (0.004) Loss 2.6337 (2.5922) Prec@1 38.750 (36.947) Prec@5 66.875 (67.809) Epoch: [22][820/11272] Time 0.794 (0.808) Data 0.001 (0.004) Loss 2.4025 (2.5912) Prec@1 41.875 (36.960) Prec@5 71.250 (67.829) Epoch: [22][830/11272] Time 0.856 (0.808) Data 0.002 (0.004) Loss 2.4281 (2.5915) Prec@1 44.375 (36.952) Prec@5 70.625 (67.827) Epoch: [22][840/11272] Time 0.736 (0.808) Data 0.002 (0.004) Loss 2.4612 (2.5910) Prec@1 38.750 (36.966) Prec@5 71.250 (67.832) Epoch: [22][850/11272] Time 0.730 (0.808) Data 0.001 (0.004) Loss 2.7259 (2.5913) Prec@1 35.000 (36.957) Prec@5 63.750 (67.827) Epoch: [22][860/11272] Time 0.897 (0.808) Data 0.002 (0.004) Loss 2.4308 (2.5909) Prec@1 35.625 (36.967) Prec@5 70.625 (67.834) Epoch: [22][870/11272] Time 0.867 (0.808) Data 0.002 (0.004) Loss 2.6085 (2.5908) Prec@1 32.500 (36.958) Prec@5 66.250 (67.834) Epoch: [22][880/11272] Time 0.733 (0.808) Data 0.001 (0.004) Loss 2.8895 (2.5916) Prec@1 32.500 (36.934) Prec@5 61.875 (67.841) Epoch: [22][890/11272] Time 0.776 (0.808) Data 0.001 (0.004) Loss 2.4328 (2.5915) Prec@1 39.375 (36.933) Prec@5 74.375 (67.849) Epoch: [22][900/11272] Time 0.817 (0.808) Data 0.002 (0.004) Loss 2.7017 (2.5903) Prec@1 33.125 (36.957) Prec@5 62.500 (67.861) Epoch: [22][910/11272] Time 0.863 (0.808) Data 0.002 (0.004) Loss 2.3728 (2.5896) Prec@1 36.875 (36.964) Prec@5 76.250 (67.870) Epoch: [22][920/11272] Time 0.761 (0.808) Data 0.002 (0.004) Loss 2.4847 (2.5896) Prec@1 38.125 (36.949) Prec@5 70.625 (67.858) Epoch: [22][930/11272] Time 0.754 (0.808) Data 0.002 (0.004) Loss 2.5253 (2.5894) Prec@1 35.000 (36.949) Prec@5 68.125 (67.869) Epoch: [22][940/11272] Time 0.835 (0.808) Data 0.001 (0.004) Loss 2.4143 (2.5885) Prec@1 40.625 (36.970) Prec@5 74.375 (67.882) Epoch: [22][950/11272] Time 0.893 (0.808) Data 0.002 (0.004) Loss 2.6467 (2.5888) Prec@1 34.375 (36.966) Prec@5 69.375 (67.886) Epoch: [22][960/11272] Time 0.722 (0.808) Data 0.001 (0.004) Loss 2.4348 (2.5891) Prec@1 35.000 (36.951) Prec@5 73.125 (67.894) Epoch: [22][970/11272] Time 0.885 (0.808) Data 0.002 (0.004) Loss 2.5219 (2.5889) Prec@1 36.875 (36.939) Prec@5 67.500 (67.899) Epoch: [22][980/11272] Time 0.901 (0.808) Data 0.002 (0.003) Loss 2.6220 (2.5890) Prec@1 30.625 (36.931) Prec@5 69.375 (67.892) Epoch: [22][990/11272] Time 0.731 (0.808) Data 0.001 (0.003) Loss 2.6748 (2.5901) Prec@1 36.250 (36.913) Prec@5 66.875 (67.877) Epoch: [22][1000/11272] Time 0.731 (0.808) Data 0.001 (0.003) Loss 2.4178 (2.5898) Prec@1 41.875 (36.928) Prec@5 74.375 (67.890) Epoch: [22][1010/11272] Time 0.883 (0.808) Data 0.001 (0.003) Loss 2.3503 (2.5897) Prec@1 38.750 (36.928) Prec@5 73.750 (67.886) Epoch: [22][1020/11272] Time 0.829 (0.808) Data 0.001 (0.003) Loss 2.3035 (2.5904) Prec@1 41.875 (36.906) Prec@5 73.125 (67.870) Epoch: [22][1030/11272] Time 0.730 (0.808) Data 0.001 (0.003) Loss 2.8950 (2.5914) Prec@1 30.625 (36.880) Prec@5 58.750 (67.847) Epoch: [22][1040/11272] Time 0.726 (0.808) Data 0.002 (0.003) Loss 2.6288 (2.5917) Prec@1 35.000 (36.863) Prec@5 68.750 (67.852) Epoch: [22][1050/11272] Time 0.884 (0.808) Data 0.002 (0.003) Loss 2.8108 (2.5925) Prec@1 28.750 (36.844) Prec@5 63.750 (67.838) Epoch: [22][1060/11272] Time 0.871 (0.808) Data 0.002 (0.003) Loss 2.6838 (2.5925) Prec@1 36.875 (36.860) Prec@5 64.375 (67.849) Epoch: [22][1070/11272] Time 0.751 (0.808) Data 0.001 (0.003) Loss 2.6725 (2.5925) Prec@1 34.375 (36.860) Prec@5 68.125 (67.845) Epoch: [22][1080/11272] Time 0.895 (0.808) Data 0.002 (0.003) Loss 2.8002 (2.5930) Prec@1 36.250 (36.861) Prec@5 61.875 (67.828) Epoch: [22][1090/11272] Time 0.861 (0.808) Data 0.002 (0.003) Loss 2.5398 (2.5931) Prec@1 37.500 (36.851) Prec@5 69.375 (67.822) Epoch: [22][1100/11272] Time 0.762 (0.808) Data 0.002 (0.003) Loss 2.4942 (2.5928) Prec@1 41.250 (36.862) Prec@5 73.125 (67.821) Epoch: [22][1110/11272] Time 0.748 (0.808) Data 0.002 (0.003) Loss 2.4426 (2.5925) Prec@1 38.750 (36.869) Prec@5 70.000 (67.827) Epoch: [22][1120/11272] Time 0.829 (0.808) Data 0.002 (0.003) Loss 2.7488 (2.5924) Prec@1 34.375 (36.873) Prec@5 63.750 (67.824) Epoch: [22][1130/11272] Time 0.841 (0.808) Data 0.002 (0.003) Loss 2.6936 (2.5925) Prec@1 33.750 (36.873) Prec@5 65.625 (67.813) Epoch: [22][1140/11272] Time 0.735 (0.808) Data 0.002 (0.003) Loss 2.4460 (2.5926) Prec@1 38.750 (36.866) Prec@5 73.750 (67.816) Epoch: [22][1150/11272] Time 0.736 (0.808) Data 0.002 (0.003) Loss 2.5056 (2.5927) Prec@1 38.750 (36.860) Prec@5 69.375 (67.810) Epoch: [22][1160/11272] Time 0.881 (0.808) Data 0.002 (0.003) Loss 2.5034 (2.5921) Prec@1 38.750 (36.870) Prec@5 70.000 (67.820) Epoch: [22][1170/11272] Time 0.857 (0.808) Data 0.002 (0.003) Loss 2.5967 (2.5920) Prec@1 38.125 (36.871) Prec@5 64.375 (67.822) Epoch: [22][1180/11272] Time 0.740 (0.807) Data 0.001 (0.003) Loss 2.4333 (2.5925) Prec@1 36.875 (36.862) Prec@5 71.875 (67.809) Epoch: [22][1190/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.5177 (2.5926) Prec@1 35.000 (36.857) Prec@5 66.875 (67.807) Epoch: [22][1200/11272] Time 0.887 (0.808) Data 0.002 (0.003) Loss 2.5314 (2.5924) Prec@1 38.750 (36.863) Prec@5 68.750 (67.812) Epoch: [22][1210/11272] Time 0.859 (0.807) Data 0.002 (0.003) Loss 2.5381 (2.5922) Prec@1 35.625 (36.860) Prec@5 67.500 (67.809) Epoch: [22][1220/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 2.6501 (2.5924) Prec@1 36.875 (36.853) Prec@5 62.500 (67.804) Epoch: [22][1230/11272] Time 0.856 (0.807) Data 0.002 (0.003) Loss 2.7005 (2.5917) Prec@1 36.875 (36.871) Prec@5 65.625 (67.811) Epoch: [22][1240/11272] Time 0.913 (0.807) Data 0.002 (0.003) Loss 2.6956 (2.5914) Prec@1 38.750 (36.869) Prec@5 64.375 (67.808) Epoch: [22][1250/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.7088 (2.5920) Prec@1 34.375 (36.857) Prec@5 63.750 (67.792) Epoch: [22][1260/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 2.5565 (2.5926) Prec@1 39.375 (36.850) Prec@5 65.625 (67.783) Epoch: [22][1270/11272] Time 0.862 (0.807) Data 0.002 (0.003) Loss 2.8606 (2.5927) Prec@1 29.375 (36.859) Prec@5 64.375 (67.778) Epoch: [22][1280/11272] Time 0.897 (0.807) Data 0.002 (0.003) Loss 2.1775 (2.5922) Prec@1 43.125 (36.883) Prec@5 78.750 (67.799) Epoch: [22][1290/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.7910 (2.5924) Prec@1 31.250 (36.876) Prec@5 62.500 (67.798) Epoch: [22][1300/11272] Time 0.708 (0.807) Data 0.001 (0.003) Loss 2.4761 (2.5925) Prec@1 36.250 (36.880) Prec@5 65.625 (67.799) Epoch: [22][1310/11272] Time 0.867 (0.807) Data 0.002 (0.003) Loss 2.3653 (2.5929) Prec@1 36.875 (36.872) Prec@5 73.750 (67.789) Epoch: [22][1320/11272] Time 0.873 (0.807) Data 0.001 (0.003) Loss 2.5786 (2.5929) Prec@1 37.500 (36.879) Prec@5 66.875 (67.790) Epoch: [22][1330/11272] Time 0.733 (0.807) Data 0.001 (0.003) Loss 2.7213 (2.5925) Prec@1 33.750 (36.885) Prec@5 65.000 (67.799) Epoch: [22][1340/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.5523 (2.5924) Prec@1 37.500 (36.885) Prec@5 67.500 (67.797) Epoch: [22][1350/11272] Time 0.900 (0.807) Data 0.002 (0.003) Loss 2.6170 (2.5923) Prec@1 32.500 (36.876) Prec@5 66.875 (67.803) Epoch: [22][1360/11272] Time 0.772 (0.807) Data 0.003 (0.003) Loss 2.7276 (2.5927) Prec@1 38.750 (36.881) Prec@5 66.875 (67.795) Epoch: [22][1370/11272] Time 0.772 (0.807) Data 0.002 (0.003) Loss 2.4192 (2.5929) Prec@1 37.500 (36.878) Prec@5 70.000 (67.793) Epoch: [22][1380/11272] Time 0.885 (0.807) Data 0.002 (0.003) Loss 2.6907 (2.5928) Prec@1 36.875 (36.880) Prec@5 66.250 (67.795) Epoch: [22][1390/11272] Time 0.867 (0.807) Data 0.002 (0.003) Loss 2.6727 (2.5926) Prec@1 36.250 (36.878) Prec@5 65.000 (67.794) Epoch: [22][1400/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.5205 (2.5925) Prec@1 38.750 (36.880) Prec@5 65.625 (67.792) Epoch: [22][1410/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.4618 (2.5930) Prec@1 40.000 (36.869) Prec@5 71.250 (67.780) Epoch: [22][1420/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.8698 (2.5929) Prec@1 32.500 (36.860) Prec@5 61.875 (67.773) Epoch: [22][1430/11272] Time 0.882 (0.807) Data 0.002 (0.003) Loss 2.4270 (2.5926) Prec@1 43.125 (36.872) Prec@5 70.625 (67.778) Epoch: [22][1440/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.5528 (2.5925) Prec@1 35.625 (36.876) Prec@5 70.000 (67.781) Epoch: [22][1450/11272] Time 0.740 (0.807) Data 0.001 (0.003) Loss 2.5167 (2.5921) Prec@1 38.750 (36.874) Prec@5 73.125 (67.797) Epoch: [22][1460/11272] Time 0.854 (0.807) Data 0.002 (0.003) Loss 2.4695 (2.5919) Prec@1 39.375 (36.878) Prec@5 66.875 (67.802) Epoch: [22][1470/11272] Time 0.911 (0.807) Data 0.002 (0.003) Loss 2.5335 (2.5913) Prec@1 38.750 (36.892) Prec@5 70.000 (67.810) Epoch: [22][1480/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 2.8645 (2.5922) Prec@1 35.625 (36.887) Prec@5 60.625 (67.792) Epoch: [22][1490/11272] Time 0.888 (0.807) Data 0.001 (0.003) Loss 2.5882 (2.5923) Prec@1 38.125 (36.886) Prec@5 68.125 (67.797) Epoch: [22][1500/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 2.5348 (2.5924) Prec@1 41.250 (36.895) Prec@5 69.375 (67.797) Epoch: [22][1510/11272] Time 0.747 (0.807) Data 0.001 (0.003) Loss 2.4867 (2.5920) Prec@1 36.875 (36.893) Prec@5 68.750 (67.803) Epoch: [22][1520/11272] Time 0.740 (0.807) Data 0.002 (0.003) Loss 2.5906 (2.5924) Prec@1 41.250 (36.884) Prec@5 68.125 (67.798) Epoch: [22][1530/11272] Time 0.833 (0.807) Data 0.001 (0.003) Loss 2.4645 (2.5925) Prec@1 43.125 (36.885) Prec@5 69.375 (67.787) Epoch: [22][1540/11272] Time 0.850 (0.807) Data 0.002 (0.003) Loss 2.6510 (2.5923) Prec@1 39.375 (36.889) Prec@5 68.750 (67.792) Epoch: [22][1550/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.4643 (2.5925) Prec@1 41.875 (36.885) Prec@5 68.125 (67.780) Epoch: [22][1560/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.6808 (2.5930) Prec@1 36.250 (36.885) Prec@5 63.125 (67.767) Epoch: [22][1570/11272] Time 0.843 (0.807) Data 0.001 (0.003) Loss 2.5565 (2.5932) Prec@1 36.875 (36.882) Prec@5 66.875 (67.765) Epoch: [22][1580/11272] Time 0.878 (0.807) Data 0.002 (0.003) Loss 2.6781 (2.5928) Prec@1 31.875 (36.883) Prec@5 70.000 (67.775) Epoch: [22][1590/11272] Time 0.734 (0.807) Data 0.001 (0.003) Loss 2.3168 (2.5929) Prec@1 43.125 (36.884) Prec@5 70.625 (67.774) Epoch: [22][1600/11272] Time 0.763 (0.807) Data 0.002 (0.003) Loss 2.6019 (2.5928) Prec@1 35.625 (36.887) Prec@5 65.625 (67.775) Epoch: [22][1610/11272] Time 0.850 (0.807) Data 0.002 (0.003) Loss 2.6006 (2.5933) Prec@1 38.750 (36.875) Prec@5 67.500 (67.773) Epoch: [22][1620/11272] Time 0.784 (0.807) Data 0.003 (0.003) Loss 2.8112 (2.5930) Prec@1 35.000 (36.885) Prec@5 65.625 (67.777) Epoch: [22][1630/11272] Time 0.729 (0.807) Data 0.002 (0.003) Loss 2.4371 (2.5931) Prec@1 37.500 (36.880) Prec@5 70.625 (67.767) Epoch: [22][1640/11272] Time 0.847 (0.807) Data 0.001 (0.003) Loss 2.7321 (2.5935) Prec@1 34.375 (36.870) Prec@5 69.375 (67.765) Epoch: [22][1650/11272] Time 0.856 (0.807) Data 0.002 (0.003) Loss 2.4002 (2.5936) Prec@1 37.500 (36.869) Prec@5 70.625 (67.770) Epoch: [22][1660/11272] Time 0.749 (0.807) Data 0.001 (0.003) Loss 2.9622 (2.5941) Prec@1 37.500 (36.864) Prec@5 59.375 (67.762) Epoch: [22][1670/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.6347 (2.5949) Prec@1 32.500 (36.848) Prec@5 65.625 (67.745) Epoch: [22][1680/11272] Time 0.934 (0.807) Data 0.002 (0.003) Loss 2.1237 (2.5944) Prec@1 45.000 (36.852) Prec@5 76.250 (67.757) Epoch: [22][1690/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.4610 (2.5946) Prec@1 38.750 (36.851) Prec@5 68.750 (67.755) Epoch: [22][1700/11272] Time 0.742 (0.807) Data 0.002 (0.003) Loss 2.6723 (2.5944) Prec@1 38.125 (36.865) Prec@5 64.375 (67.763) Epoch: [22][1710/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.5409 (2.5941) Prec@1 37.500 (36.870) Prec@5 70.625 (67.764) Epoch: [22][1720/11272] Time 0.888 (0.807) Data 0.002 (0.003) Loss 2.6631 (2.5942) Prec@1 31.250 (36.864) Prec@5 65.000 (67.761) Epoch: [22][1730/11272] Time 0.865 (0.807) Data 0.002 (0.003) Loss 2.6997 (2.5946) Prec@1 35.625 (36.851) Prec@5 67.500 (67.750) Epoch: [22][1740/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.5326 (2.5948) Prec@1 32.500 (36.844) Prec@5 66.875 (67.749) Epoch: [22][1750/11272] Time 0.843 (0.807) Data 0.001 (0.003) Loss 2.8876 (2.5952) Prec@1 31.875 (36.843) Prec@5 62.500 (67.748) Epoch: [22][1760/11272] Time 0.925 (0.807) Data 0.002 (0.003) Loss 2.7125 (2.5950) Prec@1 31.875 (36.836) Prec@5 67.500 (67.754) Epoch: [22][1770/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.4566 (2.5948) Prec@1 41.250 (36.850) Prec@5 73.125 (67.763) Epoch: [22][1780/11272] Time 0.736 (0.807) Data 0.001 (0.003) Loss 2.6916 (2.5950) Prec@1 33.125 (36.845) Prec@5 70.000 (67.762) Epoch: [22][1790/11272] Time 0.867 (0.807) Data 0.002 (0.003) Loss 2.7850 (2.5953) Prec@1 31.250 (36.849) Prec@5 63.750 (67.751) Epoch: [22][1800/11272] Time 0.875 (0.807) Data 0.002 (0.003) Loss 2.5270 (2.5956) Prec@1 36.875 (36.842) Prec@5 73.125 (67.746) Epoch: [22][1810/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.8410 (2.5959) Prec@1 35.000 (36.833) Prec@5 61.875 (67.731) Epoch: [22][1820/11272] Time 0.733 (0.807) Data 0.001 (0.003) Loss 2.5416 (2.5957) Prec@1 38.125 (36.846) Prec@5 68.750 (67.739) Epoch: [22][1830/11272] Time 0.911 (0.807) Data 0.002 (0.003) Loss 2.5651 (2.5954) Prec@1 36.875 (36.855) Prec@5 68.125 (67.747) Epoch: [22][1840/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.7001 (2.5949) Prec@1 35.625 (36.869) Prec@5 64.375 (67.749) Epoch: [22][1850/11272] Time 0.731 (0.807) Data 0.002 (0.003) Loss 2.5371 (2.5953) Prec@1 41.875 (36.868) Prec@5 68.125 (67.741) Epoch: [22][1860/11272] Time 0.749 (0.807) Data 0.001 (0.003) Loss 2.6080 (2.5952) Prec@1 38.750 (36.870) Prec@5 72.500 (67.751) Epoch: [22][1870/11272] Time 0.844 (0.807) Data 0.002 (0.003) Loss 2.6181 (2.5953) Prec@1 34.375 (36.866) Prec@5 69.375 (67.746) Epoch: [22][1880/11272] Time 0.889 (0.807) Data 0.003 (0.003) Loss 2.4351 (2.5951) Prec@1 43.750 (36.873) Prec@5 73.125 (67.751) Epoch: [22][1890/11272] Time 0.750 (0.807) Data 0.001 (0.003) Loss 2.3190 (2.5949) Prec@1 45.625 (36.875) Prec@5 76.250 (67.761) Epoch: [22][1900/11272] Time 0.857 (0.807) Data 0.001 (0.003) Loss 2.6442 (2.5952) Prec@1 38.750 (36.869) Prec@5 66.250 (67.756) Epoch: [22][1910/11272] Time 0.867 (0.807) Data 0.002 (0.003) Loss 2.7986 (2.5958) Prec@1 38.750 (36.860) Prec@5 63.125 (67.745) Epoch: [22][1920/11272] Time 0.746 (0.807) Data 0.001 (0.003) Loss 2.7945 (2.5959) Prec@1 32.500 (36.856) Prec@5 64.375 (67.744) Epoch: [22][1930/11272] Time 0.751 (0.807) Data 0.001 (0.003) Loss 2.6385 (2.5959) Prec@1 38.125 (36.858) Prec@5 66.250 (67.743) Epoch: [22][1940/11272] Time 0.906 (0.807) Data 0.001 (0.003) Loss 2.5148 (2.5959) Prec@1 38.750 (36.867) Prec@5 69.375 (67.743) Epoch: [22][1950/11272] Time 0.864 (0.807) Data 0.001 (0.003) Loss 2.4463 (2.5959) Prec@1 38.125 (36.873) Prec@5 71.250 (67.739) Epoch: [22][1960/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.4970 (2.5959) Prec@1 39.375 (36.875) Prec@5 69.375 (67.739) Epoch: [22][1970/11272] Time 0.741 (0.807) Data 0.002 (0.003) Loss 2.6165 (2.5964) Prec@1 35.000 (36.869) Prec@5 63.750 (67.725) Epoch: [22][1980/11272] Time 0.855 (0.807) Data 0.002 (0.003) Loss 2.6613 (2.5963) Prec@1 33.125 (36.870) Prec@5 66.875 (67.732) Epoch: [22][1990/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 2.8177 (2.5961) Prec@1 31.250 (36.872) Prec@5 64.375 (67.733) Epoch: [22][2000/11272] Time 0.722 (0.807) Data 0.001 (0.003) Loss 2.5619 (2.5962) Prec@1 35.625 (36.867) Prec@5 69.375 (67.731) Epoch: [22][2010/11272] Time 0.754 (0.807) Data 0.002 (0.003) Loss 2.2956 (2.5962) Prec@1 46.250 (36.865) Prec@5 68.750 (67.727) Epoch: [22][2020/11272] Time 0.887 (0.807) Data 0.001 (0.003) Loss 2.6369 (2.5962) Prec@1 35.000 (36.863) Prec@5 66.250 (67.724) Epoch: [22][2030/11272] Time 0.745 (0.807) Data 0.002 (0.003) Loss 2.5003 (2.5959) Prec@1 35.000 (36.868) Prec@5 74.375 (67.737) Epoch: [22][2040/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.4024 (2.5953) Prec@1 41.875 (36.887) Prec@5 70.000 (67.746) Epoch: [22][2050/11272] Time 0.875 (0.807) Data 0.002 (0.003) Loss 2.4227 (2.5954) Prec@1 37.500 (36.884) Prec@5 70.625 (67.742) Epoch: [22][2060/11272] Time 0.872 (0.807) Data 0.002 (0.003) Loss 2.5715 (2.5954) Prec@1 39.375 (36.887) Prec@5 65.625 (67.747) Epoch: [22][2070/11272] Time 0.747 (0.807) Data 0.002 (0.003) Loss 2.6965 (2.5954) Prec@1 34.375 (36.889) Prec@5 63.750 (67.742) Epoch: [22][2080/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.4625 (2.5951) Prec@1 45.000 (36.895) Prec@5 67.500 (67.745) Epoch: [22][2090/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.5851 (2.5949) Prec@1 35.625 (36.894) Prec@5 66.250 (67.752) Epoch: [22][2100/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6138 (2.5952) Prec@1 37.500 (36.891) Prec@5 70.000 (67.751) Epoch: [22][2110/11272] Time 0.753 (0.807) Data 0.001 (0.002) Loss 2.8040 (2.5950) Prec@1 36.875 (36.903) Prec@5 63.750 (67.756) Epoch: [22][2120/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.4956 (2.5949) Prec@1 37.500 (36.911) Prec@5 70.000 (67.758) Epoch: [22][2130/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.7940 (2.5947) Prec@1 31.875 (36.915) Prec@5 66.875 (67.765) Epoch: [22][2140/11272] Time 0.854 (0.807) Data 0.003 (0.002) Loss 2.4047 (2.5944) Prec@1 39.375 (36.921) Prec@5 73.125 (67.769) Epoch: [22][2150/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6662 (2.5948) Prec@1 34.375 (36.916) Prec@5 63.750 (67.765) Epoch: [22][2160/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 2.5725 (2.5950) Prec@1 35.625 (36.916) Prec@5 70.000 (67.766) Epoch: [22][2170/11272] Time 0.879 (0.807) Data 0.001 (0.002) Loss 2.5481 (2.5953) Prec@1 35.000 (36.911) Prec@5 69.375 (67.760) Epoch: [22][2180/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.7630 (2.5959) Prec@1 38.125 (36.899) Prec@5 64.375 (67.740) Epoch: [22][2190/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.7402 (2.5958) Prec@1 31.875 (36.901) Prec@5 63.750 (67.739) Epoch: [22][2200/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.7794 (2.5955) Prec@1 34.375 (36.906) Prec@5 65.625 (67.748) Epoch: [22][2210/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.4929 (2.5954) Prec@1 34.375 (36.912) Prec@5 69.375 (67.746) Epoch: [22][2220/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6825 (2.5957) Prec@1 36.875 (36.912) Prec@5 63.750 (67.737) Epoch: [22][2230/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7459 (2.5964) Prec@1 36.875 (36.903) Prec@5 62.500 (67.722) Epoch: [22][2240/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.5322 (2.5969) Prec@1 36.250 (36.898) Prec@5 69.375 (67.712) Epoch: [22][2250/11272] Time 0.904 (0.807) Data 0.002 (0.002) Loss 2.7755 (2.5971) Prec@1 36.875 (36.891) Prec@5 62.500 (67.702) Epoch: [22][2260/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.8572 (2.5971) Prec@1 32.500 (36.900) Prec@5 62.500 (67.702) Epoch: [22][2270/11272] Time 0.720 (0.807) Data 0.002 (0.002) Loss 2.5479 (2.5969) Prec@1 36.250 (36.901) Prec@5 65.000 (67.703) Epoch: [22][2280/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.8097 (2.5972) Prec@1 36.875 (36.899) Prec@5 61.250 (67.699) Epoch: [22][2290/11272] Time 0.749 (0.807) Data 0.003 (0.002) Loss 2.4241 (2.5973) Prec@1 40.625 (36.903) Prec@5 71.250 (67.695) Epoch: [22][2300/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.8202 (2.5976) Prec@1 30.625 (36.896) Prec@5 65.625 (67.686) Epoch: [22][2310/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.6149 (2.5979) Prec@1 35.000 (36.890) Prec@5 67.500 (67.680) Epoch: [22][2320/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.6775 (2.5978) Prec@1 33.750 (36.887) Prec@5 68.750 (67.684) Epoch: [22][2330/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.6670 (2.5979) Prec@1 37.500 (36.885) Prec@5 65.000 (67.677) Epoch: [22][2340/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6192 (2.5980) Prec@1 36.875 (36.885) Prec@5 66.250 (67.674) Epoch: [22][2350/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.4044 (2.5980) Prec@1 41.875 (36.889) Prec@5 70.000 (67.677) Epoch: [22][2360/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.7522 (2.5982) Prec@1 39.375 (36.891) Prec@5 65.000 (67.669) Epoch: [22][2370/11272] Time 0.804 (0.807) Data 0.003 (0.002) Loss 2.5517 (2.5979) Prec@1 35.625 (36.895) Prec@5 70.000 (67.673) Epoch: [22][2380/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.4234 (2.5976) Prec@1 33.750 (36.897) Prec@5 69.375 (67.676) Epoch: [22][2390/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.6328 (2.5975) Prec@1 39.375 (36.895) Prec@5 68.750 (67.679) Epoch: [22][2400/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.6729 (2.5977) Prec@1 37.500 (36.899) Prec@5 61.875 (67.672) Epoch: [22][2410/11272] Time 0.723 (0.807) Data 0.002 (0.002) Loss 2.7133 (2.5978) Prec@1 36.875 (36.906) Prec@5 63.125 (67.666) Epoch: [22][2420/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.5533 (2.5978) Prec@1 43.125 (36.906) Prec@5 68.750 (67.669) Epoch: [22][2430/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.6314 (2.5979) Prec@1 37.500 (36.905) Prec@5 68.750 (67.668) Epoch: [22][2440/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.7224 (2.5978) Prec@1 34.375 (36.907) Prec@5 63.750 (67.668) Epoch: [22][2450/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7113 (2.5980) Prec@1 35.000 (36.903) Prec@5 62.500 (67.666) Epoch: [22][2460/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.2443 (2.5976) Prec@1 47.500 (36.915) Prec@5 76.875 (67.673) Epoch: [22][2470/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.5106 (2.5979) Prec@1 41.250 (36.911) Prec@5 69.375 (67.674) Epoch: [22][2480/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.8623 (2.5980) Prec@1 28.125 (36.900) Prec@5 66.250 (67.673) Epoch: [22][2490/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.5340 (2.5979) Prec@1 39.375 (36.897) Prec@5 67.500 (67.671) Epoch: [22][2500/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.4689 (2.5976) Prec@1 35.625 (36.903) Prec@5 71.875 (67.678) Epoch: [22][2510/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6513 (2.5976) Prec@1 37.500 (36.907) Prec@5 67.500 (67.680) Epoch: [22][2520/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6584 (2.5975) Prec@1 34.375 (36.910) Prec@5 66.250 (67.678) Epoch: [22][2530/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.6845 (2.5976) Prec@1 35.625 (36.913) Prec@5 67.500 (67.680) Epoch: [22][2540/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.5714 (2.5976) Prec@1 35.000 (36.915) Prec@5 69.375 (67.679) Epoch: [22][2550/11272] Time 0.744 (0.806) Data 0.004 (0.002) Loss 2.7961 (2.5977) Prec@1 30.000 (36.910) Prec@5 60.625 (67.671) Epoch: [22][2560/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.6193 (2.5978) Prec@1 38.750 (36.911) Prec@5 62.500 (67.665) Epoch: [22][2570/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.7643 (2.5977) Prec@1 34.375 (36.916) Prec@5 60.625 (67.663) Epoch: [22][2580/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.7948 (2.5978) Prec@1 32.500 (36.917) Prec@5 63.750 (67.660) Epoch: [22][2590/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6481 (2.5978) Prec@1 38.125 (36.919) Prec@5 67.500 (67.662) Epoch: [22][2600/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.4631 (2.5978) Prec@1 40.000 (36.921) Prec@5 73.750 (67.662) Epoch: [22][2610/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6639 (2.5978) Prec@1 38.750 (36.920) Prec@5 66.875 (67.664) Epoch: [22][2620/11272] Time 0.846 (0.806) Data 0.001 (0.002) Loss 2.5608 (2.5978) Prec@1 39.375 (36.925) Prec@5 67.500 (67.662) Epoch: [22][2630/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.7713 (2.5976) Prec@1 36.250 (36.933) Prec@5 66.875 (67.669) Epoch: [22][2640/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.4119 (2.5975) Prec@1 38.750 (36.934) Prec@5 68.750 (67.668) Epoch: [22][2650/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 2.6042 (2.5973) Prec@1 33.125 (36.937) Prec@5 63.750 (67.674) Epoch: [22][2660/11272] Time 0.840 (0.806) Data 0.002 (0.002) Loss 2.7349 (2.5972) Prec@1 29.375 (36.939) Prec@5 66.875 (67.682) Epoch: [22][2670/11272] Time 0.727 (0.806) Data 0.002 (0.002) Loss 2.8317 (2.5975) Prec@1 30.000 (36.931) Prec@5 65.000 (67.674) Epoch: [22][2680/11272] Time 0.814 (0.806) Data 0.001 (0.002) Loss 2.2880 (2.5974) Prec@1 41.875 (36.931) Prec@5 77.500 (67.675) Epoch: [22][2690/11272] Time 0.923 (0.806) Data 0.002 (0.002) Loss 2.5027 (2.5973) Prec@1 38.125 (36.932) Prec@5 70.000 (67.677) Epoch: [22][2700/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6200 (2.5975) Prec@1 37.500 (36.933) Prec@5 64.375 (67.677) Epoch: [22][2710/11272] Time 0.732 (0.806) Data 0.002 (0.002) Loss 2.7312 (2.5976) Prec@1 38.125 (36.929) Prec@5 63.125 (67.675) Epoch: [22][2720/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.6043 (2.5975) Prec@1 40.000 (36.932) Prec@5 70.000 (67.680) Epoch: [22][2730/11272] Time 0.865 (0.806) Data 0.001 (0.002) Loss 2.7612 (2.5974) Prec@1 35.000 (36.931) Prec@5 63.125 (67.680) Epoch: [22][2740/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.5524 (2.5972) Prec@1 39.375 (36.935) Prec@5 68.750 (67.678) Epoch: [22][2750/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.7164 (2.5975) Prec@1 38.750 (36.941) Prec@5 63.125 (67.672) Epoch: [22][2760/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.6051 (2.5976) Prec@1 32.500 (36.940) Prec@5 61.875 (67.668) Epoch: [22][2770/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.6204 (2.5974) Prec@1 37.500 (36.937) Prec@5 65.625 (67.668) Epoch: [22][2780/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.5050 (2.5978) Prec@1 39.375 (36.929) Prec@5 66.250 (67.660) Epoch: [22][2790/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.5034 (2.5978) Prec@1 37.500 (36.934) Prec@5 70.625 (67.659) Epoch: [22][2800/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 2.3924 (2.5976) Prec@1 42.500 (36.936) Prec@5 73.750 (67.668) Epoch: [22][2810/11272] Time 0.898 (0.806) Data 0.002 (0.002) Loss 2.5814 (2.5975) Prec@1 34.375 (36.937) Prec@5 67.500 (67.664) Epoch: [22][2820/11272] Time 0.729 (0.806) Data 0.000 (0.002) Loss 2.8715 (2.5975) Prec@1 35.625 (36.943) Prec@5 63.125 (67.667) Epoch: [22][2830/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.5716 (2.5973) Prec@1 35.000 (36.937) Prec@5 70.000 (67.674) Epoch: [22][2840/11272] Time 0.848 (0.806) Data 0.001 (0.002) Loss 2.6650 (2.5974) Prec@1 33.750 (36.931) Prec@5 71.250 (67.681) Epoch: [22][2850/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.3930 (2.5972) Prec@1 36.875 (36.937) Prec@5 71.875 (67.683) Epoch: [22][2860/11272] Time 0.743 (0.806) Data 0.002 (0.002) Loss 2.5922 (2.5971) Prec@1 39.375 (36.938) Prec@5 65.000 (67.683) Epoch: [22][2870/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.3839 (2.5972) Prec@1 39.375 (36.935) Prec@5 70.000 (67.679) Epoch: [22][2880/11272] Time 0.827 (0.806) Data 0.001 (0.002) Loss 2.5800 (2.5971) Prec@1 34.375 (36.932) Prec@5 68.125 (67.683) Epoch: [22][2890/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.4664 (2.5974) Prec@1 39.375 (36.925) Prec@5 68.750 (67.677) Epoch: [22][2900/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.7645 (2.5973) Prec@1 31.250 (36.922) Prec@5 61.250 (67.676) Epoch: [22][2910/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.4268 (2.5974) Prec@1 40.625 (36.924) Prec@5 73.125 (67.679) Epoch: [22][2920/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.7318 (2.5975) Prec@1 38.750 (36.923) Prec@5 66.875 (67.674) Epoch: [22][2930/11272] Time 0.717 (0.806) Data 0.001 (0.002) Loss 2.5190 (2.5977) Prec@1 35.000 (36.917) Prec@5 71.875 (67.670) Epoch: [22][2940/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 2.5059 (2.5976) Prec@1 38.750 (36.918) Prec@5 68.125 (67.672) Epoch: [22][2950/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.8851 (2.5981) Prec@1 31.250 (36.908) Prec@5 59.375 (67.664) Epoch: [22][2960/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.5312 (2.5979) Prec@1 35.625 (36.910) Prec@5 63.750 (67.667) Epoch: [22][2970/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.7179 (2.5977) Prec@1 35.625 (36.916) Prec@5 68.750 (67.675) Epoch: [22][2980/11272] Time 0.852 (0.806) Data 0.001 (0.002) Loss 2.7445 (2.5977) Prec@1 36.250 (36.918) Prec@5 65.625 (67.671) Epoch: [22][2990/11272] Time 0.849 (0.806) Data 0.001 (0.002) Loss 2.7191 (2.5978) Prec@1 34.375 (36.917) Prec@5 63.750 (67.670) Epoch: [22][3000/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.4877 (2.5978) Prec@1 37.500 (36.919) Prec@5 68.125 (67.669) Epoch: [22][3010/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.5976 (2.5978) Prec@1 34.375 (36.917) Prec@5 68.750 (67.671) Epoch: [22][3020/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.4274 (2.5976) Prec@1 38.125 (36.918) Prec@5 67.500 (67.673) Epoch: [22][3030/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.3720 (2.5973) Prec@1 41.875 (36.920) Prec@5 67.500 (67.678) Epoch: [22][3040/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.3502 (2.5975) Prec@1 46.875 (36.917) Prec@5 75.625 (67.678) Epoch: [22][3050/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.6658 (2.5978) Prec@1 31.250 (36.912) Prec@5 63.125 (67.668) Epoch: [22][3060/11272] Time 0.853 (0.806) Data 0.003 (0.002) Loss 2.1702 (2.5977) Prec@1 41.875 (36.914) Prec@5 76.250 (67.669) Epoch: [22][3070/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.5600 (2.5978) Prec@1 36.875 (36.913) Prec@5 67.500 (67.666) Epoch: [22][3080/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.3492 (2.5977) Prec@1 38.125 (36.913) Prec@5 72.500 (67.665) Epoch: [22][3090/11272] Time 0.819 (0.806) Data 0.001 (0.002) Loss 2.6510 (2.5979) Prec@1 36.875 (36.910) Prec@5 67.500 (67.666) Epoch: [22][3100/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.6579 (2.5978) Prec@1 39.375 (36.912) Prec@5 68.750 (67.665) Epoch: [22][3110/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.6900 (2.5980) Prec@1 34.375 (36.912) Prec@5 70.000 (67.665) Epoch: [22][3120/11272] Time 0.767 (0.806) Data 0.002 (0.002) Loss 2.7370 (2.5980) Prec@1 35.000 (36.914) Prec@5 66.875 (67.663) Epoch: [22][3130/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.9920 (2.5981) Prec@1 29.375 (36.911) Prec@5 65.625 (67.662) Epoch: [22][3140/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.4011 (2.5980) Prec@1 38.750 (36.912) Prec@5 73.750 (67.668) Epoch: [22][3150/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.7021 (2.5980) Prec@1 36.875 (36.909) Prec@5 69.375 (67.667) Epoch: [22][3160/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.5682 (2.5979) Prec@1 37.500 (36.911) Prec@5 67.500 (67.671) Epoch: [22][3170/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.7306 (2.5980) Prec@1 39.375 (36.907) Prec@5 68.125 (67.670) Epoch: [22][3180/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.7066 (2.5980) Prec@1 35.625 (36.903) Prec@5 66.875 (67.670) Epoch: [22][3190/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 2.4744 (2.5981) Prec@1 43.125 (36.903) Prec@5 70.000 (67.669) Epoch: [22][3200/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.4489 (2.5981) Prec@1 42.500 (36.904) Prec@5 71.250 (67.668) Epoch: [22][3210/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6596 (2.5979) Prec@1 36.875 (36.908) Prec@5 63.750 (67.671) Epoch: [22][3220/11272] Time 0.739 (0.806) Data 0.003 (0.002) Loss 2.4083 (2.5979) Prec@1 40.000 (36.907) Prec@5 68.750 (67.668) Epoch: [22][3230/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.5294 (2.5981) Prec@1 36.875 (36.903) Prec@5 71.250 (67.662) Epoch: [22][3240/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.6895 (2.5980) Prec@1 35.625 (36.902) Prec@5 65.000 (67.663) Epoch: [22][3250/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.5746 (2.5981) Prec@1 31.875 (36.900) Prec@5 68.750 (67.663) Epoch: [22][3260/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.4774 (2.5980) Prec@1 42.500 (36.906) Prec@5 73.750 (67.663) Epoch: [22][3270/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6069 (2.5981) Prec@1 31.875 (36.903) Prec@5 68.750 (67.659) Epoch: [22][3280/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.7358 (2.5984) Prec@1 33.125 (36.899) Prec@5 64.375 (67.654) Epoch: [22][3290/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.9556 (2.5984) Prec@1 30.000 (36.899) Prec@5 61.250 (67.655) Epoch: [22][3300/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.7767 (2.5986) Prec@1 36.250 (36.897) Prec@5 61.875 (67.654) Epoch: [22][3310/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.4675 (2.5986) Prec@1 35.625 (36.893) Prec@5 71.875 (67.655) Epoch: [22][3320/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.7097 (2.5986) Prec@1 33.125 (36.892) Prec@5 66.875 (67.654) Epoch: [22][3330/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.7780 (2.5986) Prec@1 35.000 (36.897) Prec@5 65.625 (67.655) Epoch: [22][3340/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.9795 (2.5988) Prec@1 28.750 (36.891) Prec@5 57.500 (67.654) Epoch: [22][3350/11272] Time 0.901 (0.806) Data 0.001 (0.002) Loss 2.6740 (2.5986) Prec@1 38.750 (36.895) Prec@5 63.750 (67.659) Epoch: [22][3360/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 2.4720 (2.5985) Prec@1 38.750 (36.900) Prec@5 68.750 (67.665) Epoch: [22][3370/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.6763 (2.5985) Prec@1 32.500 (36.897) Prec@5 66.875 (67.661) Epoch: [22][3380/11272] Time 0.786 (0.806) Data 0.002 (0.002) Loss 2.8629 (2.5987) Prec@1 29.375 (36.892) Prec@5 61.875 (67.661) Epoch: [22][3390/11272] Time 0.900 (0.807) Data 0.005 (0.002) Loss 2.5075 (2.5986) Prec@1 34.375 (36.890) Prec@5 70.625 (67.665) Epoch: [22][3400/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.6359 (2.5986) Prec@1 36.250 (36.892) Prec@5 71.875 (67.665) Epoch: [22][3410/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.5802 (2.5987) Prec@1 43.125 (36.889) Prec@5 66.875 (67.661) Epoch: [22][3420/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.6531 (2.5986) Prec@1 33.750 (36.888) Prec@5 65.625 (67.662) Epoch: [22][3430/11272] Time 0.938 (0.807) Data 0.002 (0.002) Loss 2.4898 (2.5985) Prec@1 41.875 (36.890) Prec@5 69.375 (67.664) Epoch: [22][3440/11272] Time 0.904 (0.806) Data 0.002 (0.002) Loss 2.6449 (2.5987) Prec@1 35.000 (36.884) Prec@5 65.625 (67.657) Epoch: [22][3450/11272] Time 0.766 (0.806) Data 0.001 (0.002) Loss 2.5666 (2.5988) Prec@1 37.500 (36.876) Prec@5 66.250 (67.656) Epoch: [22][3460/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.3211 (2.5986) Prec@1 42.500 (36.877) Prec@5 78.125 (67.661) Epoch: [22][3470/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.6114 (2.5985) Prec@1 36.875 (36.880) Prec@5 71.250 (67.664) Epoch: [22][3480/11272] Time 0.724 (0.807) Data 0.003 (0.002) Loss 2.5896 (2.5984) Prec@1 38.125 (36.880) Prec@5 65.625 (67.666) Epoch: [22][3490/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.6577 (2.5984) Prec@1 36.250 (36.883) Prec@5 68.750 (67.667) Epoch: [22][3500/11272] Time 0.843 (0.807) Data 0.001 (0.002) Loss 2.6589 (2.5982) Prec@1 35.000 (36.882) Prec@5 66.250 (67.670) Epoch: [22][3510/11272] Time 0.830 (0.807) Data 0.002 (0.002) Loss 2.5441 (2.5980) Prec@1 38.125 (36.889) Prec@5 71.875 (67.671) Epoch: [22][3520/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.4041 (2.5980) Prec@1 41.875 (36.890) Prec@5 71.250 (67.672) Epoch: [22][3530/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.6522 (2.5981) Prec@1 41.250 (36.894) Prec@5 65.625 (67.671) Epoch: [22][3540/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.7294 (2.5981) Prec@1 36.875 (36.893) Prec@5 64.375 (67.667) Epoch: [22][3550/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 2.7516 (2.5981) Prec@1 35.625 (36.895) Prec@5 63.125 (67.668) Epoch: [22][3560/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6793 (2.5979) Prec@1 33.125 (36.900) Prec@5 71.875 (67.672) Epoch: [22][3570/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.7125 (2.5979) Prec@1 33.125 (36.903) Prec@5 66.875 (67.674) Epoch: [22][3580/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.6520 (2.5981) Prec@1 37.500 (36.900) Prec@5 68.750 (67.670) Epoch: [22][3590/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.9363 (2.5980) Prec@1 36.250 (36.906) Prec@5 58.750 (67.667) Epoch: [22][3600/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.5850 (2.5982) Prec@1 36.875 (36.904) Prec@5 68.750 (67.661) Epoch: [22][3610/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.8463 (2.5984) Prec@1 31.250 (36.900) Prec@5 61.875 (67.657) Epoch: [22][3620/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.7099 (2.5985) Prec@1 35.000 (36.900) Prec@5 65.625 (67.654) Epoch: [22][3630/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.4123 (2.5985) Prec@1 40.625 (36.899) Prec@5 71.875 (67.656) Epoch: [22][3640/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5445 (2.5983) Prec@1 38.125 (36.904) Prec@5 65.000 (67.657) Epoch: [22][3650/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.3958 (2.5982) Prec@1 43.125 (36.905) Prec@5 71.250 (67.660) Epoch: [22][3660/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.6895 (2.5982) Prec@1 36.875 (36.904) Prec@5 61.250 (67.658) Epoch: [22][3670/11272] Time 0.775 (0.807) Data 0.001 (0.002) Loss 2.5307 (2.5982) Prec@1 41.250 (36.907) Prec@5 68.750 (67.656) Epoch: [22][3680/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.5751 (2.5981) Prec@1 39.375 (36.910) Prec@5 64.375 (67.659) Epoch: [22][3690/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6195 (2.5978) Prec@1 35.000 (36.916) Prec@5 65.000 (67.665) Epoch: [22][3700/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.6313 (2.5978) Prec@1 38.750 (36.919) Prec@5 66.875 (67.664) Epoch: [22][3710/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.6612 (2.5977) Prec@1 34.375 (36.915) Prec@5 65.000 (67.663) Epoch: [22][3720/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.5236 (2.5976) Prec@1 36.875 (36.919) Prec@5 68.125 (67.665) Epoch: [22][3730/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.6836 (2.5978) Prec@1 34.375 (36.917) Prec@5 70.000 (67.661) Epoch: [22][3740/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.8922 (2.5979) Prec@1 29.375 (36.912) Prec@5 64.375 (67.663) Epoch: [22][3750/11272] Time 0.765 (0.807) Data 0.001 (0.002) Loss 2.4783 (2.5978) Prec@1 35.625 (36.918) Prec@5 66.250 (67.661) Epoch: [22][3760/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.5868 (2.5976) Prec@1 35.000 (36.923) Prec@5 71.250 (67.663) Epoch: [22][3770/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.4171 (2.5976) Prec@1 41.875 (36.924) Prec@5 74.375 (67.664) Epoch: [22][3780/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.5324 (2.5979) Prec@1 41.250 (36.928) Prec@5 73.750 (67.658) Epoch: [22][3790/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.7450 (2.5976) Prec@1 36.250 (36.933) Prec@5 66.875 (67.667) Epoch: [22][3800/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.7365 (2.5976) Prec@1 38.125 (36.930) Prec@5 66.250 (67.667) Epoch: [22][3810/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.3665 (2.5975) Prec@1 39.375 (36.934) Prec@5 73.750 (67.670) Epoch: [22][3820/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7547 (2.5975) Prec@1 33.125 (36.930) Prec@5 63.750 (67.667) Epoch: [22][3830/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6953 (2.5976) Prec@1 37.500 (36.929) Prec@5 68.125 (67.669) Epoch: [22][3840/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.4855 (2.5975) Prec@1 36.875 (36.930) Prec@5 72.500 (67.673) Epoch: [22][3850/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 2.3208 (2.5975) Prec@1 40.000 (36.932) Prec@5 72.500 (67.673) Epoch: [22][3860/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.5424 (2.5974) Prec@1 36.250 (36.931) Prec@5 69.375 (67.674) Epoch: [22][3870/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5211 (2.5974) Prec@1 36.875 (36.933) Prec@5 68.750 (67.672) Epoch: [22][3880/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.6761 (2.5972) Prec@1 35.000 (36.937) Prec@5 66.875 (67.675) Epoch: [22][3890/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.7423 (2.5971) Prec@1 33.125 (36.938) Prec@5 68.750 (67.676) Epoch: [22][3900/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.3863 (2.5973) Prec@1 41.875 (36.935) Prec@5 73.125 (67.670) Epoch: [22][3910/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.5179 (2.5971) Prec@1 36.875 (36.936) Prec@5 71.875 (67.678) Epoch: [22][3920/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.6048 (2.5973) Prec@1 34.375 (36.930) Prec@5 64.375 (67.676) Epoch: [22][3930/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.6782 (2.5974) Prec@1 38.125 (36.927) Prec@5 65.000 (67.676) Epoch: [22][3940/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.5031 (2.5975) Prec@1 33.125 (36.922) Prec@5 69.375 (67.673) Epoch: [22][3950/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.6871 (2.5976) Prec@1 37.500 (36.925) Prec@5 65.625 (67.674) Epoch: [22][3960/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.5317 (2.5974) Prec@1 40.625 (36.928) Prec@5 67.500 (67.675) Epoch: [22][3970/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.5248 (2.5975) Prec@1 34.375 (36.926) Prec@5 69.375 (67.673) Epoch: [22][3980/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.8546 (2.5976) Prec@1 30.625 (36.924) Prec@5 62.500 (67.672) Epoch: [22][3990/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.7456 (2.5975) Prec@1 31.875 (36.923) Prec@5 65.625 (67.674) Epoch: [22][4000/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 2.3239 (2.5973) Prec@1 39.375 (36.928) Prec@5 69.375 (67.680) Epoch: [22][4010/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.4294 (2.5972) Prec@1 41.250 (36.929) Prec@5 70.000 (67.683) Epoch: [22][4020/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.5336 (2.5974) Prec@1 38.125 (36.924) Prec@5 70.000 (67.678) Epoch: [22][4030/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.4771 (2.5973) Prec@1 40.625 (36.926) Prec@5 71.250 (67.677) Epoch: [22][4040/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.6117 (2.5972) Prec@1 38.750 (36.929) Prec@5 69.375 (67.678) Epoch: [22][4050/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6638 (2.5971) Prec@1 35.000 (36.927) Prec@5 70.000 (67.681) Epoch: [22][4060/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.7008 (2.5974) Prec@1 32.500 (36.918) Prec@5 70.625 (67.676) Epoch: [22][4070/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.5028 (2.5976) Prec@1 35.000 (36.916) Prec@5 70.625 (67.673) Epoch: [22][4080/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.5802 (2.5976) Prec@1 37.500 (36.915) Prec@5 68.125 (67.672) Epoch: [22][4090/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.6738 (2.5975) Prec@1 40.625 (36.916) Prec@5 61.875 (67.674) Epoch: [22][4100/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.4732 (2.5975) Prec@1 38.750 (36.916) Prec@5 68.750 (67.673) Epoch: [22][4110/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.6754 (2.5976) Prec@1 33.750 (36.912) Prec@5 68.125 (67.671) Epoch: [22][4120/11272] Time 0.778 (0.807) Data 0.002 (0.002) Loss 2.7218 (2.5976) Prec@1 36.250 (36.912) Prec@5 66.875 (67.673) Epoch: [22][4130/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.4355 (2.5975) Prec@1 40.000 (36.911) Prec@5 73.750 (67.671) Epoch: [22][4140/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.4316 (2.5977) Prec@1 36.250 (36.907) Prec@5 68.750 (67.668) Epoch: [22][4150/11272] Time 0.792 (0.807) Data 0.003 (0.002) Loss 2.6643 (2.5977) Prec@1 35.625 (36.905) Prec@5 66.875 (67.674) Epoch: [22][4160/11272] Time 0.822 (0.807) Data 0.002 (0.002) Loss 2.3491 (2.5976) Prec@1 44.375 (36.904) Prec@5 69.375 (67.674) Epoch: [22][4170/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.7141 (2.5976) Prec@1 35.000 (36.908) Prec@5 66.250 (67.675) Epoch: [22][4180/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.4352 (2.5974) Prec@1 32.500 (36.911) Prec@5 75.000 (67.680) Epoch: [22][4190/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 2.6967 (2.5974) Prec@1 31.875 (36.913) Prec@5 64.375 (67.679) Epoch: [22][4200/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.4744 (2.5975) Prec@1 38.750 (36.911) Prec@5 74.375 (67.676) Epoch: [22][4210/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.7442 (2.5976) Prec@1 33.125 (36.911) Prec@5 60.625 (67.675) Epoch: [22][4220/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.7953 (2.5975) Prec@1 33.125 (36.912) Prec@5 60.625 (67.675) Epoch: [22][4230/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7475 (2.5975) Prec@1 32.500 (36.909) Prec@5 65.625 (67.675) Epoch: [22][4240/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.4595 (2.5973) Prec@1 38.125 (36.913) Prec@5 72.500 (67.677) Epoch: [22][4250/11272] Time 0.864 (0.807) Data 0.001 (0.002) Loss 2.4559 (2.5974) Prec@1 41.250 (36.914) Prec@5 68.125 (67.673) Epoch: [22][4260/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.5411 (2.5974) Prec@1 39.375 (36.914) Prec@5 68.750 (67.672) Epoch: [22][4270/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.4800 (2.5973) Prec@1 38.125 (36.913) Prec@5 76.875 (67.674) Epoch: [22][4280/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.5358 (2.5973) Prec@1 40.000 (36.914) Prec@5 67.500 (67.675) Epoch: [22][4290/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.5108 (2.5971) Prec@1 36.875 (36.918) Prec@5 68.750 (67.678) Epoch: [22][4300/11272] Time 0.716 (0.807) Data 0.001 (0.002) Loss 2.8013 (2.5972) Prec@1 35.000 (36.917) Prec@5 66.250 (67.674) Epoch: [22][4310/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.3913 (2.5972) Prec@1 42.500 (36.918) Prec@5 73.750 (67.674) Epoch: [22][4320/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5044 (2.5971) Prec@1 35.625 (36.919) Prec@5 69.375 (67.677) Epoch: [22][4330/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.6189 (2.5973) Prec@1 41.250 (36.919) Prec@5 66.250 (67.673) Epoch: [22][4340/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.5918 (2.5974) Prec@1 34.375 (36.913) Prec@5 72.500 (67.673) Epoch: [22][4350/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5234 (2.5974) Prec@1 36.250 (36.914) Prec@5 65.000 (67.670) Epoch: [22][4360/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 2.4974 (2.5973) Prec@1 38.125 (36.914) Prec@5 70.625 (67.670) Epoch: [22][4370/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.5706 (2.5974) Prec@1 38.125 (36.911) Prec@5 69.375 (67.667) Epoch: [22][4380/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.4111 (2.5976) Prec@1 36.250 (36.907) Prec@5 71.875 (67.666) Epoch: [22][4390/11272] Time 0.771 (0.807) Data 0.002 (0.002) Loss 2.4241 (2.5975) Prec@1 41.875 (36.907) Prec@5 73.125 (67.668) Epoch: [22][4400/11272] Time 0.896 (0.807) Data 0.003 (0.002) Loss 2.4882 (2.5974) Prec@1 38.125 (36.906) Prec@5 71.875 (67.669) Epoch: [22][4410/11272] Time 0.744 (0.807) Data 0.003 (0.002) Loss 2.5817 (2.5974) Prec@1 37.500 (36.904) Prec@5 61.250 (67.668) Epoch: [22][4420/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.3725 (2.5972) Prec@1 41.875 (36.907) Prec@5 69.375 (67.672) Epoch: [22][4430/11272] Time 0.846 (0.807) Data 0.001 (0.002) Loss 2.5352 (2.5973) Prec@1 34.375 (36.901) Prec@5 70.000 (67.670) Epoch: [22][4440/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.5384 (2.5972) Prec@1 36.250 (36.903) Prec@5 68.750 (67.671) Epoch: [22][4450/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.5165 (2.5972) Prec@1 39.375 (36.905) Prec@5 72.500 (67.671) Epoch: [22][4460/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.3998 (2.5972) Prec@1 39.375 (36.906) Prec@5 69.375 (67.669) Epoch: [22][4470/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.6317 (2.5973) Prec@1 38.750 (36.904) Prec@5 65.625 (67.665) Epoch: [22][4480/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.5753 (2.5973) Prec@1 43.125 (36.907) Prec@5 67.500 (67.664) Epoch: [22][4490/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.7685 (2.5976) Prec@1 30.625 (36.901) Prec@5 58.125 (67.658) Epoch: [22][4500/11272] Time 0.771 (0.807) Data 0.001 (0.002) Loss 2.6492 (2.5976) Prec@1 34.375 (36.896) Prec@5 69.375 (67.656) Epoch: [22][4510/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.6608 (2.5975) Prec@1 35.625 (36.898) Prec@5 68.750 (67.656) Epoch: [22][4520/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.6096 (2.5975) Prec@1 36.875 (36.900) Prec@5 66.250 (67.658) Epoch: [22][4530/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.4699 (2.5975) Prec@1 38.750 (36.901) Prec@5 70.625 (67.657) Epoch: [22][4540/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.6436 (2.5977) Prec@1 40.000 (36.902) Prec@5 65.000 (67.654) Epoch: [22][4550/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.6757 (2.5978) Prec@1 34.375 (36.901) Prec@5 63.750 (67.652) Epoch: [22][4560/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.5347 (2.5978) Prec@1 36.250 (36.899) Prec@5 68.125 (67.653) Epoch: [22][4570/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7183 (2.5978) Prec@1 38.750 (36.902) Prec@5 61.875 (67.652) Epoch: [22][4580/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.6295 (2.5977) Prec@1 40.000 (36.904) Prec@5 69.375 (67.653) Epoch: [22][4590/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.6779 (2.5977) Prec@1 31.875 (36.903) Prec@5 67.500 (67.653) Epoch: [22][4600/11272] Time 0.706 (0.807) Data 0.001 (0.002) Loss 2.7616 (2.5978) Prec@1 33.125 (36.896) Prec@5 65.625 (67.649) Epoch: [22][4610/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4301 (2.5979) Prec@1 43.750 (36.894) Prec@5 71.250 (67.642) Epoch: [22][4620/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.7949 (2.5980) Prec@1 31.250 (36.895) Prec@5 62.500 (67.640) Epoch: [22][4630/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.3930 (2.5981) Prec@1 44.375 (36.892) Prec@5 68.750 (67.640) Epoch: [22][4640/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.4599 (2.5981) Prec@1 38.750 (36.890) Prec@5 73.750 (67.641) Epoch: [22][4650/11272] Time 0.759 (0.807) Data 0.002 (0.002) Loss 2.6598 (2.5982) Prec@1 29.375 (36.885) Prec@5 68.125 (67.641) Epoch: [22][4660/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.0819 (2.5982) Prec@1 44.375 (36.882) Prec@5 77.500 (67.640) Epoch: [22][4670/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.5718 (2.5984) Prec@1 34.375 (36.879) Prec@5 68.750 (67.636) Epoch: [22][4680/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.4936 (2.5984) Prec@1 35.625 (36.879) Prec@5 73.125 (67.635) Epoch: [22][4690/11272] Time 0.880 (0.807) Data 0.001 (0.002) Loss 2.4889 (2.5983) Prec@1 39.375 (36.879) Prec@5 71.250 (67.640) Epoch: [22][4700/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.7562 (2.5984) Prec@1 33.750 (36.878) Prec@5 67.500 (67.639) Epoch: [22][4710/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.4110 (2.5983) Prec@1 44.375 (36.880) Prec@5 68.125 (67.641) Epoch: [22][4720/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.4622 (2.5983) Prec@1 44.375 (36.883) Prec@5 65.625 (67.638) Epoch: [22][4730/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.6537 (2.5983) Prec@1 32.500 (36.881) Prec@5 68.125 (67.638) Epoch: [22][4740/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.4037 (2.5983) Prec@1 41.875 (36.881) Prec@5 71.250 (67.641) Epoch: [22][4750/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.7895 (2.5983) Prec@1 31.250 (36.881) Prec@5 63.125 (67.640) Epoch: [22][4760/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.4696 (2.5983) Prec@1 38.750 (36.879) Prec@5 72.500 (67.641) Epoch: [22][4770/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.5018 (2.5984) Prec@1 39.375 (36.878) Prec@5 70.625 (67.638) Epoch: [22][4780/11272] Time 0.807 (0.807) Data 0.001 (0.002) Loss 2.5277 (2.5984) Prec@1 35.000 (36.878) Prec@5 70.625 (67.640) Epoch: [22][4790/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.6015 (2.5985) Prec@1 35.625 (36.879) Prec@5 70.000 (67.639) Epoch: [22][4800/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7883 (2.5987) Prec@1 36.875 (36.879) Prec@5 63.125 (67.635) Epoch: [22][4810/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.4678 (2.5987) Prec@1 43.750 (36.878) Prec@5 67.500 (67.633) Epoch: [22][4820/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.5902 (2.5987) Prec@1 38.125 (36.878) Prec@5 69.375 (67.636) Epoch: [22][4830/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.6374 (2.5987) Prec@1 32.500 (36.877) Prec@5 66.875 (67.636) Epoch: [22][4840/11272] Time 0.895 (0.807) Data 0.002 (0.002) Loss 2.7158 (2.5989) Prec@1 38.125 (36.877) Prec@5 68.750 (67.631) Epoch: [22][4850/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5716 (2.5990) Prec@1 39.375 (36.878) Prec@5 67.500 (67.628) Epoch: [22][4860/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.3707 (2.5989) Prec@1 43.750 (36.879) Prec@5 67.500 (67.629) Epoch: [22][4870/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6528 (2.5989) Prec@1 38.750 (36.882) Prec@5 66.250 (67.629) Epoch: [22][4880/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.4809 (2.5989) Prec@1 35.625 (36.879) Prec@5 74.375 (67.627) Epoch: [22][4890/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6420 (2.5989) Prec@1 35.000 (36.879) Prec@5 65.625 (67.627) Epoch: [22][4900/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.5914 (2.5989) Prec@1 37.500 (36.879) Prec@5 65.000 (67.629) Epoch: [22][4910/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.6810 (2.5989) Prec@1 33.125 (36.878) Prec@5 68.750 (67.627) Epoch: [22][4920/11272] Time 0.909 (0.806) Data 0.002 (0.002) Loss 2.9077 (2.5988) Prec@1 31.250 (36.880) Prec@5 61.250 (67.631) Epoch: [22][4930/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.5067 (2.5989) Prec@1 35.625 (36.875) Prec@5 69.375 (67.630) Epoch: [22][4940/11272] Time 0.767 (0.807) Data 0.003 (0.002) Loss 2.5760 (2.5990) Prec@1 32.500 (36.873) Prec@5 66.875 (67.628) Epoch: [22][4950/11272] Time 0.944 (0.807) Data 0.002 (0.002) Loss 2.5048 (2.5990) Prec@1 39.375 (36.875) Prec@5 67.500 (67.629) Epoch: [22][4960/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.5298 (2.5991) Prec@1 36.875 (36.873) Prec@5 73.125 (67.628) Epoch: [22][4970/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.6577 (2.5992) Prec@1 36.250 (36.869) Prec@5 66.250 (67.624) Epoch: [22][4980/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.6026 (2.5994) Prec@1 38.125 (36.864) Prec@5 64.375 (67.620) Epoch: [22][4990/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 2.8784 (2.5993) Prec@1 34.375 (36.866) Prec@5 62.500 (67.621) Epoch: [22][5000/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 2.5452 (2.5993) Prec@1 41.250 (36.866) Prec@5 66.250 (67.620) Epoch: [22][5010/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7096 (2.5994) Prec@1 31.250 (36.862) Prec@5 64.375 (67.618) Epoch: [22][5020/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.2854 (2.5993) Prec@1 41.250 (36.866) Prec@5 74.375 (67.621) Epoch: [22][5030/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 2.3054 (2.5991) Prec@1 40.000 (36.868) Prec@5 75.625 (67.625) Epoch: [22][5040/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.4093 (2.5988) Prec@1 43.750 (36.871) Prec@5 74.375 (67.631) Epoch: [22][5050/11272] Time 0.738 (0.806) Data 0.002 (0.002) Loss 2.4025 (2.5989) Prec@1 38.750 (36.870) Prec@5 75.625 (67.631) Epoch: [22][5060/11272] Time 0.743 (0.806) Data 0.002 (0.002) Loss 2.5543 (2.5988) Prec@1 38.125 (36.872) Prec@5 67.500 (67.633) Epoch: [22][5070/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.2066 (2.5988) Prec@1 43.750 (36.871) Prec@5 73.750 (67.635) Epoch: [22][5080/11272] Time 0.800 (0.806) Data 0.004 (0.002) Loss 2.3359 (2.5988) Prec@1 43.750 (36.874) Prec@5 72.500 (67.634) Epoch: [22][5090/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.4741 (2.5988) Prec@1 38.125 (36.874) Prec@5 71.875 (67.636) Epoch: [22][5100/11272] Time 0.856 (0.806) Data 0.001 (0.002) Loss 2.6283 (2.5989) Prec@1 38.125 (36.873) Prec@5 65.000 (67.635) Epoch: [22][5110/11272] Time 0.915 (0.806) Data 0.003 (0.002) Loss 2.6039 (2.5990) Prec@1 32.500 (36.871) Prec@5 63.750 (67.634) Epoch: [22][5120/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.4856 (2.5989) Prec@1 38.750 (36.873) Prec@5 70.625 (67.636) Epoch: [22][5130/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.4184 (2.5989) Prec@1 44.375 (36.876) Prec@5 74.375 (67.635) Epoch: [22][5140/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.5130 (2.5988) Prec@1 32.500 (36.877) Prec@5 73.125 (67.636) Epoch: [22][5150/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.5762 (2.5989) Prec@1 33.125 (36.876) Prec@5 67.500 (67.634) Epoch: [22][5160/11272] Time 0.721 (0.806) Data 0.002 (0.002) Loss 2.5918 (2.5990) Prec@1 38.125 (36.874) Prec@5 71.875 (67.636) Epoch: [22][5170/11272] Time 0.752 (0.806) Data 0.002 (0.002) Loss 2.5958 (2.5990) Prec@1 32.500 (36.874) Prec@5 66.250 (67.635) Epoch: [22][5180/11272] Time 0.848 (0.806) Data 0.001 (0.002) Loss 2.5433 (2.5990) Prec@1 38.125 (36.875) Prec@5 66.875 (67.635) Epoch: [22][5190/11272] Time 0.893 (0.806) Data 0.002 (0.002) Loss 2.7567 (2.5991) Prec@1 38.750 (36.872) Prec@5 65.625 (67.632) Epoch: [22][5200/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.5217 (2.5990) Prec@1 44.375 (36.874) Prec@5 71.250 (67.637) Epoch: [22][5210/11272] Time 0.913 (0.806) Data 0.002 (0.002) Loss 2.4843 (2.5991) Prec@1 36.250 (36.871) Prec@5 74.375 (67.636) Epoch: [22][5220/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.6333 (2.5990) Prec@1 41.250 (36.873) Prec@5 66.875 (67.635) Epoch: [22][5230/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.6091 (2.5990) Prec@1 35.625 (36.872) Prec@5 67.500 (67.635) Epoch: [22][5240/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.4692 (2.5991) Prec@1 46.250 (36.874) Prec@5 69.375 (67.634) Epoch: [22][5250/11272] Time 0.907 (0.806) Data 0.001 (0.002) Loss 2.5967 (2.5991) Prec@1 35.625 (36.872) Prec@5 67.500 (67.633) Epoch: [22][5260/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.5634 (2.5990) Prec@1 37.500 (36.871) Prec@5 68.125 (67.636) Epoch: [22][5270/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.6039 (2.5991) Prec@1 35.000 (36.869) Prec@5 66.875 (67.640) Epoch: [22][5280/11272] Time 0.727 (0.806) Data 0.002 (0.002) Loss 2.6703 (2.5992) Prec@1 35.000 (36.866) Prec@5 70.000 (67.638) Epoch: [22][5290/11272] Time 0.827 (0.806) Data 0.001 (0.002) Loss 2.6531 (2.5994) Prec@1 39.375 (36.863) Prec@5 70.000 (67.632) Epoch: [22][5300/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 2.5750 (2.5994) Prec@1 38.750 (36.864) Prec@5 67.500 (67.632) Epoch: [22][5310/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.7689 (2.5994) Prec@1 33.125 (36.865) Prec@5 63.125 (67.632) Epoch: [22][5320/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.5760 (2.5993) Prec@1 36.875 (36.867) Prec@5 66.875 (67.636) Epoch: [22][5330/11272] Time 0.911 (0.806) Data 0.002 (0.002) Loss 2.5658 (2.5993) Prec@1 38.125 (36.869) Prec@5 69.375 (67.638) Epoch: [22][5340/11272] Time 0.777 (0.806) Data 0.003 (0.002) Loss 2.6824 (2.5994) Prec@1 35.000 (36.867) Prec@5 66.250 (67.634) Epoch: [22][5350/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.5244 (2.5994) Prec@1 35.000 (36.868) Prec@5 68.125 (67.632) Epoch: [22][5360/11272] Time 0.860 (0.806) Data 0.001 (0.002) Loss 2.5450 (2.5994) Prec@1 38.125 (36.868) Prec@5 66.250 (67.631) Epoch: [22][5370/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.3335 (2.5994) Prec@1 41.875 (36.869) Prec@5 69.375 (67.630) Epoch: [22][5380/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.6280 (2.5992) Prec@1 36.875 (36.869) Prec@5 69.375 (67.631) Epoch: [22][5390/11272] Time 0.741 (0.806) Data 0.002 (0.002) Loss 2.7094 (2.5993) Prec@1 38.750 (36.868) Prec@5 62.500 (67.627) Epoch: [22][5400/11272] Time 0.903 (0.806) Data 0.002 (0.002) Loss 2.4070 (2.5993) Prec@1 41.875 (36.868) Prec@5 68.125 (67.626) Epoch: [22][5410/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.6997 (2.5994) Prec@1 31.250 (36.866) Prec@5 66.875 (67.624) Epoch: [22][5420/11272] Time 0.702 (0.806) Data 0.002 (0.002) Loss 2.5983 (2.5993) Prec@1 33.125 (36.868) Prec@5 69.375 (67.626) Epoch: [22][5430/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.4242 (2.5992) Prec@1 42.500 (36.870) Prec@5 68.750 (67.626) Epoch: [22][5440/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.5282 (2.5991) Prec@1 39.375 (36.870) Prec@5 68.750 (67.627) Epoch: [22][5450/11272] Time 0.888 (0.806) Data 0.002 (0.002) Loss 2.7995 (2.5991) Prec@1 36.250 (36.871) Prec@5 64.375 (67.629) Epoch: [22][5460/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.5511 (2.5990) Prec@1 34.375 (36.871) Prec@5 73.125 (67.630) Epoch: [22][5470/11272] Time 0.915 (0.806) Data 0.001 (0.002) Loss 2.3900 (2.5989) Prec@1 40.000 (36.872) Prec@5 71.875 (67.632) Epoch: [22][5480/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.3244 (2.5989) Prec@1 41.250 (36.875) Prec@5 69.375 (67.633) Epoch: [22][5490/11272] Time 0.762 (0.806) Data 0.001 (0.002) Loss 2.4504 (2.5989) Prec@1 41.250 (36.874) Prec@5 76.875 (67.634) Epoch: [22][5500/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.9437 (2.5990) Prec@1 33.125 (36.871) Prec@5 64.375 (67.632) Epoch: [22][5510/11272] Time 0.859 (0.806) Data 0.001 (0.002) Loss 2.6791 (2.5990) Prec@1 43.125 (36.872) Prec@5 63.125 (67.631) Epoch: [22][5520/11272] Time 0.922 (0.806) Data 0.001 (0.002) Loss 2.8399 (2.5992) Prec@1 33.750 (36.869) Prec@5 63.125 (67.628) Epoch: [22][5530/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.7149 (2.5992) Prec@1 33.125 (36.870) Prec@5 66.875 (67.628) Epoch: [22][5540/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.6855 (2.5992) Prec@1 30.625 (36.869) Prec@5 68.750 (67.629) Epoch: [22][5550/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.6165 (2.5992) Prec@1 38.750 (36.871) Prec@5 68.750 (67.629) Epoch: [22][5560/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.6105 (2.5992) Prec@1 39.375 (36.873) Prec@5 65.625 (67.631) Epoch: [22][5570/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 2.5539 (2.5992) Prec@1 38.125 (36.869) Prec@5 69.375 (67.630) Epoch: [22][5580/11272] Time 0.743 (0.806) Data 0.001 (0.002) Loss 2.6765 (2.5993) Prec@1 37.500 (36.871) Prec@5 68.125 (67.633) Epoch: [22][5590/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.8647 (2.5993) Prec@1 32.500 (36.870) Prec@5 56.250 (67.628) Epoch: [22][5600/11272] Time 0.866 (0.806) Data 0.001 (0.002) Loss 2.7193 (2.5995) Prec@1 31.875 (36.868) Prec@5 67.500 (67.623) Epoch: [22][5610/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7660 (2.5995) Prec@1 38.125 (36.873) Prec@5 60.625 (67.623) Epoch: [22][5620/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.6096 (2.5995) Prec@1 35.625 (36.874) Prec@5 68.125 (67.625) Epoch: [22][5630/11272] Time 0.835 (0.806) Data 0.001 (0.002) Loss 2.7201 (2.5995) Prec@1 34.375 (36.875) Prec@5 66.875 (67.625) Epoch: [22][5640/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.9548 (2.5995) Prec@1 32.500 (36.874) Prec@5 61.250 (67.626) Epoch: [22][5650/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.2140 (2.5994) Prec@1 44.375 (36.875) Prec@5 76.250 (67.626) Epoch: [22][5660/11272] Time 0.944 (0.806) Data 0.001 (0.002) Loss 2.5866 (2.5995) Prec@1 35.625 (36.873) Prec@5 68.750 (67.625) Epoch: [22][5670/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.5936 (2.5995) Prec@1 38.750 (36.871) Prec@5 71.875 (67.627) Epoch: [22][5680/11272] Time 0.732 (0.806) Data 0.001 (0.002) Loss 2.7287 (2.5997) Prec@1 33.750 (36.866) Prec@5 66.250 (67.624) Epoch: [22][5690/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.4283 (2.5998) Prec@1 38.125 (36.865) Prec@5 73.750 (67.621) Epoch: [22][5700/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.8466 (2.5998) Prec@1 31.250 (36.868) Prec@5 61.250 (67.620) Epoch: [22][5710/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.5592 (2.6000) Prec@1 35.625 (36.865) Prec@5 69.375 (67.616) Epoch: [22][5720/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.6942 (2.6000) Prec@1 35.625 (36.864) Prec@5 66.875 (67.613) Epoch: [22][5730/11272] Time 0.835 (0.806) Data 0.001 (0.002) Loss 2.5017 (2.6000) Prec@1 35.625 (36.862) Prec@5 73.125 (67.614) Epoch: [22][5740/11272] Time 0.908 (0.806) Data 0.002 (0.002) Loss 2.9008 (2.6000) Prec@1 32.500 (36.861) Prec@5 58.125 (67.611) Epoch: [22][5750/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.6881 (2.6000) Prec@1 36.875 (36.862) Prec@5 64.375 (67.609) Epoch: [22][5760/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.3541 (2.6000) Prec@1 39.375 (36.862) Prec@5 73.125 (67.608) Epoch: [22][5770/11272] Time 0.890 (0.806) Data 0.001 (0.002) Loss 2.7574 (2.6001) Prec@1 34.375 (36.865) Prec@5 63.750 (67.607) Epoch: [22][5780/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.5709 (2.6001) Prec@1 33.125 (36.863) Prec@5 71.250 (67.608) Epoch: [22][5790/11272] Time 0.729 (0.806) Data 0.002 (0.002) Loss 2.7473 (2.6002) Prec@1 35.625 (36.863) Prec@5 66.875 (67.607) Epoch: [22][5800/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.7798 (2.6003) Prec@1 38.125 (36.860) Prec@5 61.250 (67.604) Epoch: [22][5810/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.7798 (2.6004) Prec@1 33.750 (36.860) Prec@5 64.375 (67.603) Epoch: [22][5820/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.5037 (2.6003) Prec@1 39.375 (36.857) Prec@5 68.750 (67.602) Epoch: [22][5830/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.5687 (2.6003) Prec@1 43.750 (36.861) Prec@5 68.125 (67.605) Epoch: [22][5840/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.7069 (2.6005) Prec@1 35.000 (36.855) Prec@5 65.625 (67.602) Epoch: [22][5850/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.5310 (2.6005) Prec@1 36.250 (36.854) Prec@5 71.250 (67.603) Epoch: [22][5860/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 2.5598 (2.6005) Prec@1 36.250 (36.855) Prec@5 70.000 (67.605) Epoch: [22][5870/11272] Time 0.764 (0.806) Data 0.002 (0.002) Loss 2.8965 (2.6005) Prec@1 33.125 (36.854) Prec@5 66.875 (67.606) Epoch: [22][5880/11272] Time 0.805 (0.806) Data 0.001 (0.002) Loss 2.7249 (2.6005) Prec@1 30.000 (36.851) Prec@5 65.625 (67.606) Epoch: [22][5890/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.5727 (2.6006) Prec@1 43.125 (36.852) Prec@5 68.125 (67.604) Epoch: [22][5900/11272] Time 0.705 (0.806) Data 0.001 (0.002) Loss 2.5998 (2.6008) Prec@1 31.250 (36.845) Prec@5 69.375 (67.602) Epoch: [22][5910/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.4134 (2.6008) Prec@1 39.375 (36.846) Prec@5 71.875 (67.604) Epoch: [22][5920/11272] Time 0.860 (0.806) Data 0.001 (0.002) Loss 2.6613 (2.6009) Prec@1 34.375 (36.846) Prec@5 70.000 (67.604) Epoch: [22][5930/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.3068 (2.6007) Prec@1 43.750 (36.850) Prec@5 71.875 (67.606) Epoch: [22][5940/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4076 (2.6006) Prec@1 42.500 (36.853) Prec@5 68.750 (67.608) Epoch: [22][5950/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7384 (2.6007) Prec@1 36.875 (36.852) Prec@5 69.375 (67.604) Epoch: [22][5960/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.5525 (2.6008) Prec@1 39.375 (36.849) Prec@5 69.375 (67.604) Epoch: [22][5970/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.5158 (2.6008) Prec@1 33.750 (36.847) Prec@5 69.375 (67.603) Epoch: [22][5980/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.7690 (2.6009) Prec@1 36.250 (36.848) Prec@5 63.125 (67.603) Epoch: [22][5990/11272] Time 0.712 (0.806) Data 0.001 (0.002) Loss 2.5959 (2.6009) Prec@1 37.500 (36.849) Prec@5 68.125 (67.603) Epoch: [22][6000/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.6541 (2.6008) Prec@1 35.000 (36.847) Prec@5 66.875 (67.606) Epoch: [22][6010/11272] Time 0.768 (0.806) Data 0.003 (0.002) Loss 2.7542 (2.6008) Prec@1 32.500 (36.848) Prec@5 68.750 (67.606) Epoch: [22][6020/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.5070 (2.6008) Prec@1 37.500 (36.848) Prec@5 66.875 (67.605) Epoch: [22][6030/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.7109 (2.6009) Prec@1 39.375 (36.849) Prec@5 69.375 (67.602) Epoch: [22][6040/11272] Time 0.944 (0.806) Data 0.002 (0.002) Loss 2.7545 (2.6010) Prec@1 33.125 (36.850) Prec@5 65.000 (67.602) Epoch: [22][6050/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.6878 (2.6011) Prec@1 38.750 (36.848) Prec@5 66.250 (67.598) Epoch: [22][6060/11272] Time 0.811 (0.806) Data 0.002 (0.002) Loss 2.6771 (2.6011) Prec@1 44.375 (36.847) Prec@5 68.125 (67.598) Epoch: [22][6070/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.7608 (2.6013) Prec@1 35.000 (36.842) Prec@5 59.375 (67.596) Epoch: [22][6080/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.7276 (2.6012) Prec@1 35.000 (36.843) Prec@5 64.375 (67.597) Epoch: [22][6090/11272] Time 0.733 (0.806) Data 0.002 (0.002) Loss 2.4719 (2.6012) Prec@1 40.625 (36.841) Prec@5 71.875 (67.598) Epoch: [22][6100/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.6475 (2.6012) Prec@1 36.250 (36.840) Prec@5 66.250 (67.600) Epoch: [22][6110/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.4632 (2.6012) Prec@1 40.000 (36.842) Prec@5 72.500 (67.600) Epoch: [22][6120/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.5489 (2.6013) Prec@1 36.875 (36.837) Prec@5 68.125 (67.597) Epoch: [22][6130/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.3770 (2.6014) Prec@1 45.000 (36.835) Prec@5 70.000 (67.596) Epoch: [22][6140/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.4567 (2.6013) Prec@1 42.500 (36.841) Prec@5 71.250 (67.599) Epoch: [22][6150/11272] Time 0.952 (0.806) Data 0.002 (0.002) Loss 2.6870 (2.6012) Prec@1 33.125 (36.840) Prec@5 60.625 (67.598) Epoch: [22][6160/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.4277 (2.6012) Prec@1 41.875 (36.842) Prec@5 68.125 (67.599) Epoch: [22][6170/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.2499 (2.6012) Prec@1 47.500 (36.841) Prec@5 72.500 (67.596) Epoch: [22][6180/11272] Time 0.904 (0.806) Data 0.002 (0.002) Loss 2.5185 (2.6012) Prec@1 38.125 (36.842) Prec@5 68.750 (67.594) Epoch: [22][6190/11272] Time 0.937 (0.806) Data 0.002 (0.002) Loss 2.9112 (2.6013) Prec@1 33.125 (36.841) Prec@5 61.875 (67.593) Epoch: [22][6200/11272] Time 0.765 (0.806) Data 0.002 (0.002) Loss 2.4717 (2.6013) Prec@1 40.625 (36.843) Prec@5 68.125 (67.594) Epoch: [22][6210/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.3348 (2.6013) Prec@1 46.875 (36.842) Prec@5 76.875 (67.595) Epoch: [22][6220/11272] Time 0.986 (0.806) Data 0.002 (0.002) Loss 2.6102 (2.6014) Prec@1 41.250 (36.844) Prec@5 68.125 (67.594) Epoch: [22][6230/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.7078 (2.6015) Prec@1 36.250 (36.842) Prec@5 64.375 (67.592) Epoch: [22][6240/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.8015 (2.6015) Prec@1 35.625 (36.841) Prec@5 63.125 (67.593) Epoch: [22][6250/11272] Time 0.708 (0.806) Data 0.001 (0.002) Loss 2.4210 (2.6015) Prec@1 40.625 (36.841) Prec@5 67.500 (67.593) Epoch: [22][6260/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.7006 (2.6016) Prec@1 32.500 (36.842) Prec@5 67.500 (67.591) Epoch: [22][6270/11272] Time 0.753 (0.806) Data 0.003 (0.002) Loss 2.6310 (2.6017) Prec@1 36.875 (36.841) Prec@5 65.625 (67.589) Epoch: [22][6280/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.5708 (2.6016) Prec@1 38.750 (36.844) Prec@5 69.375 (67.593) Epoch: [22][6290/11272] Time 0.833 (0.806) Data 0.002 (0.002) Loss 2.8898 (2.6016) Prec@1 29.375 (36.845) Prec@5 61.250 (67.593) Epoch: [22][6300/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.8163 (2.6017) Prec@1 30.000 (36.844) Prec@5 62.500 (67.588) Epoch: [22][6310/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.8116 (2.6017) Prec@1 35.625 (36.847) Prec@5 66.875 (67.589) Epoch: [22][6320/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7246 (2.6017) Prec@1 34.375 (36.847) Prec@5 62.500 (67.590) Epoch: [22][6330/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 2.3684 (2.6017) Prec@1 41.875 (36.847) Prec@5 73.125 (67.590) Epoch: [22][6340/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.6032 (2.6016) Prec@1 38.750 (36.849) Prec@5 72.500 (67.592) Epoch: [22][6350/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.3086 (2.6016) Prec@1 45.625 (36.848) Prec@5 75.000 (67.594) Epoch: [22][6360/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.5711 (2.6016) Prec@1 36.875 (36.845) Prec@5 67.500 (67.593) Epoch: [22][6370/11272] Time 0.818 (0.806) Data 0.001 (0.002) Loss 2.6603 (2.6017) Prec@1 40.000 (36.845) Prec@5 67.500 (67.594) Epoch: [22][6380/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.3681 (2.6016) Prec@1 40.000 (36.847) Prec@5 74.375 (67.597) Epoch: [22][6390/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.3028 (2.6015) Prec@1 42.500 (36.850) Prec@5 73.125 (67.599) Epoch: [22][6400/11272] Time 0.870 (0.806) Data 0.001 (0.002) Loss 2.2426 (2.6013) Prec@1 46.875 (36.851) Prec@5 74.375 (67.602) Epoch: [22][6410/11272] Time 0.832 (0.806) Data 0.001 (0.002) Loss 2.6986 (2.6013) Prec@1 32.500 (36.853) Prec@5 62.500 (67.602) Epoch: [22][6420/11272] Time 0.717 (0.806) Data 0.001 (0.002) Loss 2.1976 (2.6014) Prec@1 45.000 (36.851) Prec@5 76.250 (67.601) Epoch: [22][6430/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.6016 (2.6013) Prec@1 32.500 (36.852) Prec@5 68.125 (67.603) Epoch: [22][6440/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.4056 (2.6012) Prec@1 38.750 (36.856) Prec@5 70.625 (67.605) Epoch: [22][6450/11272] Time 0.878 (0.806) Data 0.001 (0.002) Loss 2.5649 (2.6010) Prec@1 39.375 (36.860) Prec@5 65.625 (67.607) Epoch: [22][6460/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.6673 (2.6010) Prec@1 35.625 (36.861) Prec@5 64.375 (67.605) Epoch: [22][6470/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.8147 (2.6011) Prec@1 33.750 (36.862) Prec@5 66.875 (67.604) Epoch: [22][6480/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.6264 (2.6010) Prec@1 38.750 (36.865) Prec@5 67.500 (67.606) Epoch: [22][6490/11272] Time 0.842 (0.806) Data 0.002 (0.002) Loss 2.7928 (2.6011) Prec@1 39.375 (36.866) Prec@5 60.625 (67.605) Epoch: [22][6500/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.5775 (2.6012) Prec@1 36.250 (36.862) Prec@5 67.500 (67.603) Epoch: [22][6510/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.9023 (2.6013) Prec@1 35.625 (36.860) Prec@5 61.250 (67.602) Epoch: [22][6520/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.3884 (2.6013) Prec@1 39.375 (36.859) Prec@5 70.625 (67.601) Epoch: [22][6530/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.8175 (2.6014) Prec@1 35.625 (36.859) Prec@5 65.625 (67.600) Epoch: [22][6540/11272] Time 0.739 (0.806) Data 0.003 (0.002) Loss 2.8286 (2.6013) Prec@1 31.250 (36.861) Prec@5 60.000 (67.600) Epoch: [22][6550/11272] Time 0.898 (0.806) Data 0.002 (0.002) Loss 2.6440 (2.6013) Prec@1 32.500 (36.861) Prec@5 68.125 (67.602) Epoch: [22][6560/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.3082 (2.6012) Prec@1 41.250 (36.861) Prec@5 71.250 (67.601) Epoch: [22][6570/11272] Time 0.739 (0.806) Data 0.001 (0.002) Loss 2.7555 (2.6013) Prec@1 33.125 (36.862) Prec@5 64.375 (67.601) Epoch: [22][6580/11272] Time 0.719 (0.806) Data 0.001 (0.002) Loss 2.6480 (2.6012) Prec@1 35.625 (36.863) Prec@5 63.750 (67.602) Epoch: [22][6590/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.6945 (2.6012) Prec@1 36.250 (36.863) Prec@5 65.625 (67.599) Epoch: [22][6600/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.5486 (2.6014) Prec@1 39.375 (36.860) Prec@5 68.750 (67.596) Epoch: [22][6610/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6067 (2.6015) Prec@1 31.250 (36.858) Prec@5 67.500 (67.596) Epoch: [22][6620/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.8845 (2.6015) Prec@1 31.875 (36.857) Prec@5 62.500 (67.594) Epoch: [22][6630/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.8556 (2.6015) Prec@1 32.500 (36.855) Prec@5 61.875 (67.592) Epoch: [22][6640/11272] Time 0.856 (0.806) Data 0.001 (0.002) Loss 2.7715 (2.6016) Prec@1 34.375 (36.854) Prec@5 66.250 (67.591) Epoch: [22][6650/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.6205 (2.6016) Prec@1 34.375 (36.853) Prec@5 68.750 (67.591) Epoch: [22][6660/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.5820 (2.6016) Prec@1 38.125 (36.854) Prec@5 68.125 (67.591) Epoch: [22][6670/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.4977 (2.6014) Prec@1 36.250 (36.858) Prec@5 68.125 (67.591) Epoch: [22][6680/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.5301 (2.6014) Prec@1 40.000 (36.859) Prec@5 65.625 (67.589) Epoch: [22][6690/11272] Time 0.758 (0.806) Data 0.001 (0.002) Loss 2.5133 (2.6014) Prec@1 37.500 (36.856) Prec@5 67.500 (67.591) Epoch: [22][6700/11272] Time 0.845 (0.806) Data 0.001 (0.002) Loss 2.4384 (2.6014) Prec@1 35.625 (36.856) Prec@5 68.125 (67.592) Epoch: [22][6710/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.9231 (2.6015) Prec@1 28.125 (36.851) Prec@5 56.875 (67.588) Epoch: [22][6720/11272] Time 0.707 (0.806) Data 0.001 (0.002) Loss 2.3798 (2.6014) Prec@1 43.750 (36.853) Prec@5 70.000 (67.589) Epoch: [22][6730/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.6421 (2.6013) Prec@1 35.000 (36.856) Prec@5 66.875 (67.590) Epoch: [22][6740/11272] Time 0.840 (0.806) Data 0.002 (0.002) Loss 2.6662 (2.6014) Prec@1 31.875 (36.856) Prec@5 68.750 (67.588) Epoch: [22][6750/11272] Time 0.909 (0.806) Data 0.002 (0.002) Loss 2.5310 (2.6012) Prec@1 38.750 (36.858) Prec@5 68.125 (67.591) Epoch: [22][6760/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.7063 (2.6013) Prec@1 35.000 (36.855) Prec@5 64.375 (67.590) Epoch: [22][6770/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.6303 (2.6013) Prec@1 34.375 (36.854) Prec@5 65.625 (67.590) Epoch: [22][6780/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.9411 (2.6015) Prec@1 30.625 (36.851) Prec@5 63.750 (67.588) Epoch: [22][6790/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 2.8358 (2.6015) Prec@1 31.250 (36.850) Prec@5 64.375 (67.586) Epoch: [22][6800/11272] Time 0.706 (0.806) Data 0.001 (0.002) Loss 2.4617 (2.6015) Prec@1 36.250 (36.848) Prec@5 71.250 (67.587) Epoch: [22][6810/11272] Time 0.815 (0.806) Data 0.002 (0.002) Loss 2.5538 (2.6014) Prec@1 34.375 (36.851) Prec@5 65.625 (67.588) Epoch: [22][6820/11272] Time 0.833 (0.806) Data 0.002 (0.002) Loss 2.6853 (2.6014) Prec@1 36.875 (36.850) Prec@5 65.625 (67.589) Epoch: [22][6830/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.4884 (2.6016) Prec@1 42.500 (36.848) Prec@5 67.500 (67.585) Epoch: [22][6840/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.7234 (2.6015) Prec@1 33.125 (36.849) Prec@5 65.000 (67.586) Epoch: [22][6850/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.8804 (2.6016) Prec@1 28.125 (36.846) Prec@5 58.750 (67.583) Epoch: [22][6860/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.5269 (2.6016) Prec@1 38.125 (36.847) Prec@5 68.125 (67.583) Epoch: [22][6870/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.4378 (2.6016) Prec@1 38.750 (36.847) Prec@5 74.375 (67.583) Epoch: [22][6880/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.7753 (2.6016) Prec@1 31.250 (36.844) Prec@5 61.875 (67.582) Epoch: [22][6890/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.4387 (2.6016) Prec@1 37.500 (36.844) Prec@5 71.250 (67.581) Epoch: [22][6900/11272] Time 0.898 (0.806) Data 0.002 (0.002) Loss 2.5566 (2.6015) Prec@1 40.625 (36.845) Prec@5 70.625 (67.582) Epoch: [22][6910/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.4385 (2.6015) Prec@1 41.250 (36.845) Prec@5 68.750 (67.584) Epoch: [22][6920/11272] Time 0.794 (0.806) Data 0.002 (0.002) Loss 2.6904 (2.6015) Prec@1 36.250 (36.845) Prec@5 66.250 (67.584) Epoch: [22][6930/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.6887 (2.6016) Prec@1 36.250 (36.845) Prec@5 62.500 (67.581) Epoch: [22][6940/11272] Time 0.742 (0.806) Data 0.003 (0.002) Loss 2.6259 (2.6016) Prec@1 40.625 (36.848) Prec@5 67.500 (67.582) Epoch: [22][6950/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.2998 (2.6015) Prec@1 44.375 (36.848) Prec@5 75.000 (67.585) Epoch: [22][6960/11272] Time 0.836 (0.806) Data 0.002 (0.002) Loss 2.6549 (2.6015) Prec@1 33.750 (36.847) Prec@5 68.125 (67.584) Epoch: [22][6970/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.4289 (2.6016) Prec@1 42.500 (36.845) Prec@5 66.875 (67.582) Epoch: [22][6980/11272] Time 0.718 (0.806) Data 0.001 (0.002) Loss 2.5506 (2.6016) Prec@1 37.500 (36.843) Prec@5 70.000 (67.581) Epoch: [22][6990/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.5845 (2.6016) Prec@1 37.500 (36.843) Prec@5 68.125 (67.581) Epoch: [22][7000/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.6309 (2.6016) Prec@1 40.000 (36.845) Prec@5 65.000 (67.582) Epoch: [22][7010/11272] Time 0.875 (0.806) Data 0.001 (0.002) Loss 2.8310 (2.6016) Prec@1 30.625 (36.847) Prec@5 60.625 (67.579) Epoch: [22][7020/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.3732 (2.6015) Prec@1 41.250 (36.849) Prec@5 73.125 (67.580) Epoch: [22][7030/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.5607 (2.6015) Prec@1 33.750 (36.849) Prec@5 68.125 (67.581) Epoch: [22][7040/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.3377 (2.6016) Prec@1 41.250 (36.848) Prec@5 73.750 (67.581) Epoch: [22][7050/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 3.0146 (2.6017) Prec@1 35.000 (36.847) Prec@5 61.250 (67.579) Epoch: [22][7060/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.5303 (2.6016) Prec@1 36.250 (36.849) Prec@5 69.375 (67.581) Epoch: [22][7070/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.6153 (2.6018) Prec@1 43.125 (36.848) Prec@5 68.750 (67.579) Epoch: [22][7080/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.5811 (2.6017) Prec@1 41.250 (36.850) Prec@5 69.375 (67.581) Epoch: [22][7090/11272] Time 0.764 (0.806) Data 0.001 (0.002) Loss 2.6979 (2.6017) Prec@1 28.750 (36.846) Prec@5 66.875 (67.583) Epoch: [22][7100/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.5998 (2.6016) Prec@1 38.750 (36.845) Prec@5 65.625 (67.586) Epoch: [22][7110/11272] Time 0.893 (0.806) Data 0.002 (0.002) Loss 2.6932 (2.6016) Prec@1 38.125 (36.844) Prec@5 67.500 (67.585) Epoch: [22][7120/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.9019 (2.6016) Prec@1 30.625 (36.843) Prec@5 64.375 (67.585) Epoch: [22][7130/11272] Time 0.752 (0.806) Data 0.001 (0.002) Loss 2.8010 (2.6017) Prec@1 35.000 (36.842) Prec@5 63.125 (67.584) Epoch: [22][7140/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.9333 (2.6017) Prec@1 31.250 (36.843) Prec@5 58.125 (67.584) Epoch: [22][7150/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.5593 (2.6017) Prec@1 41.875 (36.842) Prec@5 66.875 (67.583) Epoch: [22][7160/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 2.6163 (2.6017) Prec@1 36.250 (36.843) Prec@5 66.250 (67.584) Epoch: [22][7170/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 2.5206 (2.6017) Prec@1 36.875 (36.842) Prec@5 68.125 (67.581) Epoch: [22][7180/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.4397 (2.6018) Prec@1 37.500 (36.841) Prec@5 66.875 (67.579) Epoch: [22][7190/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.5585 (2.6017) Prec@1 36.875 (36.841) Prec@5 67.500 (67.579) Epoch: [22][7200/11272] Time 0.733 (0.806) Data 0.003 (0.002) Loss 2.5843 (2.6018) Prec@1 34.375 (36.841) Prec@5 67.500 (67.578) Epoch: [22][7210/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.3596 (2.6017) Prec@1 38.125 (36.844) Prec@5 71.250 (67.578) Epoch: [22][7220/11272] Time 0.908 (0.806) Data 0.002 (0.002) Loss 2.4429 (2.6017) Prec@1 38.125 (36.844) Prec@5 70.000 (67.578) Epoch: [22][7230/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 2.4513 (2.6017) Prec@1 41.250 (36.844) Prec@5 68.125 (67.577) Epoch: [22][7240/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.3131 (2.6017) Prec@1 38.750 (36.843) Prec@5 76.250 (67.576) Epoch: [22][7250/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.6063 (2.6017) Prec@1 34.375 (36.840) Prec@5 68.750 (67.574) Epoch: [22][7260/11272] Time 0.864 (0.806) Data 0.001 (0.002) Loss 2.4716 (2.6017) Prec@1 42.500 (36.842) Prec@5 69.375 (67.575) Epoch: [22][7270/11272] Time 0.890 (0.806) Data 0.001 (0.002) Loss 2.5702 (2.6018) Prec@1 35.625 (36.839) Prec@5 68.125 (67.575) Epoch: [22][7280/11272] Time 0.717 (0.806) Data 0.001 (0.002) Loss 2.4379 (2.6017) Prec@1 34.375 (36.838) Prec@5 67.500 (67.576) Epoch: [22][7290/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.8710 (2.6018) Prec@1 30.625 (36.835) Prec@5 58.125 (67.576) Epoch: [22][7300/11272] Time 0.883 (0.806) Data 0.002 (0.002) Loss 2.6774 (2.6017) Prec@1 35.000 (36.836) Prec@5 63.750 (67.576) Epoch: [22][7310/11272] Time 0.839 (0.806) Data 0.002 (0.002) Loss 2.5039 (2.6017) Prec@1 40.000 (36.835) Prec@5 70.625 (67.578) Epoch: [22][7320/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.6003 (2.6017) Prec@1 36.875 (36.837) Prec@5 67.500 (67.579) Epoch: [22][7330/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 2.5032 (2.6017) Prec@1 37.500 (36.835) Prec@5 67.500 (67.579) Epoch: [22][7340/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 2.6827 (2.6017) Prec@1 32.500 (36.833) Prec@5 66.875 (67.579) Epoch: [22][7350/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.5235 (2.6017) Prec@1 40.625 (36.833) Prec@5 68.125 (67.579) Epoch: [22][7360/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.7346 (2.6017) Prec@1 33.750 (36.834) Prec@5 66.250 (67.579) Epoch: [22][7370/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.5662 (2.6017) Prec@1 35.625 (36.832) Prec@5 68.125 (67.580) Epoch: [22][7380/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.6724 (2.6016) Prec@1 36.875 (36.832) Prec@5 65.625 (67.580) Epoch: [22][7390/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.7203 (2.6018) Prec@1 31.875 (36.830) Prec@5 68.125 (67.577) Epoch: [22][7400/11272] Time 0.737 (0.806) Data 0.001 (0.002) Loss 2.4390 (2.6018) Prec@1 34.375 (36.831) Prec@5 72.500 (67.577) Epoch: [22][7410/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.7375 (2.6019) Prec@1 32.500 (36.828) Prec@5 66.875 (67.575) Epoch: [22][7420/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.6288 (2.6019) Prec@1 36.250 (36.828) Prec@5 65.625 (67.574) Epoch: [22][7430/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.7001 (2.6019) Prec@1 33.750 (36.827) Prec@5 65.625 (67.572) Epoch: [22][7440/11272] Time 0.731 (0.806) Data 0.002 (0.002) Loss 2.5301 (2.6019) Prec@1 36.250 (36.824) Prec@5 69.375 (67.575) Epoch: [22][7450/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.6290 (2.6019) Prec@1 37.500 (36.825) Prec@5 65.625 (67.575) Epoch: [22][7460/11272] Time 0.849 (0.806) Data 0.002 (0.002) Loss 2.6155 (2.6020) Prec@1 36.250 (36.823) Prec@5 66.250 (67.573) Epoch: [22][7470/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.6473 (2.6020) Prec@1 39.375 (36.823) Prec@5 66.875 (67.574) Epoch: [22][7480/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 2.7100 (2.6020) Prec@1 35.000 (36.824) Prec@5 65.000 (67.573) Epoch: [22][7490/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.4758 (2.6020) Prec@1 39.375 (36.824) Prec@5 70.625 (67.572) Epoch: [22][7500/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.4901 (2.6020) Prec@1 41.250 (36.827) Prec@5 68.125 (67.571) Epoch: [22][7510/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.4971 (2.6019) Prec@1 42.500 (36.830) Prec@5 68.750 (67.575) Epoch: [22][7520/11272] Time 0.874 (0.806) Data 0.001 (0.002) Loss 2.6267 (2.6019) Prec@1 36.875 (36.828) Prec@5 65.625 (67.577) Epoch: [22][7530/11272] Time 0.884 (0.806) Data 0.002 (0.002) Loss 2.7705 (2.6019) Prec@1 35.625 (36.826) Prec@5 63.750 (67.576) Epoch: [22][7540/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.9729 (2.6019) Prec@1 31.875 (36.824) Prec@5 61.250 (67.577) Epoch: [22][7550/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.6303 (2.6019) Prec@1 36.250 (36.823) Prec@5 63.125 (67.577) Epoch: [22][7560/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.5667 (2.6018) Prec@1 41.250 (36.826) Prec@5 67.500 (67.577) Epoch: [22][7570/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.5478 (2.6018) Prec@1 38.125 (36.827) Prec@5 69.375 (67.578) Epoch: [22][7580/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.6016 (2.6018) Prec@1 36.875 (36.826) Prec@5 65.625 (67.579) Epoch: [22][7590/11272] Time 0.728 (0.806) Data 0.001 (0.002) Loss 2.7531 (2.6019) Prec@1 36.875 (36.825) Prec@5 63.750 (67.577) Epoch: [22][7600/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.6040 (2.6018) Prec@1 38.750 (36.826) Prec@5 66.250 (67.576) Epoch: [22][7610/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 2.7698 (2.6019) Prec@1 31.875 (36.824) Prec@5 67.500 (67.576) Epoch: [22][7620/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.4664 (2.6019) Prec@1 41.250 (36.825) Prec@5 71.250 (67.577) Epoch: [22][7630/11272] Time 0.872 (0.806) Data 0.001 (0.002) Loss 2.6660 (2.6019) Prec@1 37.500 (36.824) Prec@5 66.250 (67.576) Epoch: [22][7640/11272] Time 0.856 (0.806) Data 0.002 (0.002) Loss 2.8755 (2.6019) Prec@1 30.625 (36.825) Prec@5 61.875 (67.577) Epoch: [22][7650/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 2.7108 (2.6018) Prec@1 35.625 (36.825) Prec@5 65.625 (67.579) Epoch: [22][7660/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.8294 (2.6018) Prec@1 35.625 (36.825) Prec@5 63.125 (67.578) Epoch: [22][7670/11272] Time 0.892 (0.806) Data 0.002 (0.002) Loss 2.5489 (2.6017) Prec@1 34.375 (36.826) Prec@5 73.750 (67.579) Epoch: [22][7680/11272] Time 0.879 (0.806) Data 0.001 (0.002) Loss 2.4351 (2.6018) Prec@1 43.125 (36.825) Prec@5 70.625 (67.578) Epoch: [22][7690/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.6610 (2.6018) Prec@1 36.875 (36.827) Prec@5 63.750 (67.577) Epoch: [22][7700/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.6408 (2.6018) Prec@1 30.625 (36.826) Prec@5 66.875 (67.577) Epoch: [22][7710/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.6499 (2.6018) Prec@1 36.875 (36.826) Prec@5 65.625 (67.575) Epoch: [22][7720/11272] Time 0.821 (0.806) Data 0.001 (0.002) Loss 2.5281 (2.6018) Prec@1 41.875 (36.826) Prec@5 68.750 (67.575) Epoch: [22][7730/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.5813 (2.6018) Prec@1 35.000 (36.828) Prec@5 67.500 (67.577) Epoch: [22][7740/11272] Time 0.854 (0.806) Data 0.001 (0.002) Loss 2.6128 (2.6018) Prec@1 36.875 (36.828) Prec@5 68.125 (67.576) Epoch: [22][7750/11272] Time 0.933 (0.806) Data 0.002 (0.002) Loss 2.4895 (2.6017) Prec@1 38.125 (36.830) Prec@5 70.625 (67.577) Epoch: [22][7760/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.7767 (2.6017) Prec@1 38.125 (36.831) Prec@5 62.500 (67.577) Epoch: [22][7770/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 2.4842 (2.6017) Prec@1 42.500 (36.830) Prec@5 73.125 (67.578) Epoch: [22][7780/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.4999 (2.6017) Prec@1 40.625 (36.828) Prec@5 66.875 (67.578) Epoch: [22][7790/11272] Time 0.918 (0.806) Data 0.002 (0.002) Loss 2.6213 (2.6017) Prec@1 39.375 (36.830) Prec@5 68.125 (67.578) Epoch: [22][7800/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 2.5329 (2.6018) Prec@1 39.375 (36.828) Prec@5 68.750 (67.576) Epoch: [22][7810/11272] Time 0.743 (0.806) Data 0.002 (0.002) Loss 2.5213 (2.6018) Prec@1 38.750 (36.828) Prec@5 66.250 (67.575) Epoch: [22][7820/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.7419 (2.6020) Prec@1 35.000 (36.827) Prec@5 64.375 (67.572) Epoch: [22][7830/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 2.7382 (2.6020) Prec@1 33.125 (36.826) Prec@5 63.125 (67.570) Epoch: [22][7840/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.6628 (2.6019) Prec@1 35.000 (36.827) Prec@5 62.500 (67.572) Epoch: [22][7850/11272] Time 0.796 (0.806) Data 0.001 (0.002) Loss 2.6490 (2.6020) Prec@1 39.375 (36.824) Prec@5 66.875 (67.572) Epoch: [22][7860/11272] Time 0.863 (0.806) Data 0.001 (0.002) Loss 2.7526 (2.6020) Prec@1 34.375 (36.826) Prec@5 63.750 (67.572) Epoch: [22][7870/11272] Time 0.738 (0.806) Data 0.003 (0.002) Loss 2.7908 (2.6020) Prec@1 33.750 (36.827) Prec@5 65.000 (67.572) Epoch: [22][7880/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.5852 (2.6020) Prec@1 38.125 (36.825) Prec@5 63.750 (67.573) Epoch: [22][7890/11272] Time 0.925 (0.807) Data 0.002 (0.002) Loss 2.4919 (2.6019) Prec@1 39.375 (36.826) Prec@5 71.875 (67.574) Epoch: [22][7900/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.4728 (2.6019) Prec@1 36.875 (36.826) Prec@5 68.750 (67.573) Epoch: [22][7910/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.4951 (2.6019) Prec@1 38.125 (36.828) Prec@5 70.000 (67.575) Epoch: [22][7920/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.4434 (2.6019) Prec@1 45.000 (36.829) Prec@5 71.250 (67.573) Epoch: [22][7930/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.3434 (2.6019) Prec@1 38.125 (36.828) Prec@5 70.625 (67.573) Epoch: [22][7940/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 3.0998 (2.6019) Prec@1 26.875 (36.829) Prec@5 58.125 (67.574) Epoch: [22][7950/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.5058 (2.6019) Prec@1 36.875 (36.826) Prec@5 68.125 (67.574) Epoch: [22][7960/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6709 (2.6018) Prec@1 32.500 (36.827) Prec@5 66.250 (67.575) Epoch: [22][7970/11272] Time 0.847 (0.807) Data 0.001 (0.002) Loss 2.5219 (2.6019) Prec@1 39.375 (36.826) Prec@5 69.375 (67.573) Epoch: [22][7980/11272] Time 0.878 (0.807) Data 0.003 (0.002) Loss 2.8464 (2.6019) Prec@1 31.250 (36.826) Prec@5 64.375 (67.574) Epoch: [22][7990/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6805 (2.6019) Prec@1 33.750 (36.827) Prec@5 66.250 (67.575) Epoch: [22][8000/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.6248 (2.6019) Prec@1 36.250 (36.828) Prec@5 62.500 (67.575) Epoch: [22][8010/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.6404 (2.6019) Prec@1 35.000 (36.828) Prec@5 66.250 (67.576) Epoch: [22][8020/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 2.4165 (2.6019) Prec@1 38.750 (36.829) Prec@5 75.625 (67.578) Epoch: [22][8030/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5526 (2.6018) Prec@1 38.750 (36.827) Prec@5 68.750 (67.579) Epoch: [22][8040/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.7057 (2.6018) Prec@1 33.750 (36.826) Prec@5 60.000 (67.580) Epoch: [22][8050/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.4126 (2.6019) Prec@1 38.750 (36.825) Prec@5 73.750 (67.579) Epoch: [22][8060/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.5952 (2.6019) Prec@1 38.750 (36.823) Prec@5 66.250 (67.579) Epoch: [22][8070/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.3443 (2.6019) Prec@1 43.125 (36.824) Prec@5 73.750 (67.580) Epoch: [22][8080/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.3082 (2.6018) Prec@1 40.625 (36.825) Prec@5 75.000 (67.582) Epoch: [22][8090/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.6977 (2.6018) Prec@1 35.000 (36.827) Prec@5 63.125 (67.581) Epoch: [22][8100/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.5785 (2.6018) Prec@1 32.500 (36.826) Prec@5 67.500 (67.580) Epoch: [22][8110/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.5058 (2.6019) Prec@1 37.500 (36.823) Prec@5 66.250 (67.579) Epoch: [22][8120/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.8115 (2.6018) Prec@1 35.000 (36.824) Prec@5 62.500 (67.579) Epoch: [22][8130/11272] Time 0.783 (0.807) Data 0.004 (0.002) Loss 2.4351 (2.6019) Prec@1 36.875 (36.824) Prec@5 70.625 (67.579) Epoch: [22][8140/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.6607 (2.6020) Prec@1 37.500 (36.822) Prec@5 68.125 (67.576) Epoch: [22][8150/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.4516 (2.6021) Prec@1 40.000 (36.821) Prec@5 66.875 (67.574) Epoch: [22][8160/11272] Time 0.924 (0.807) Data 0.002 (0.002) Loss 2.8312 (2.6022) Prec@1 28.750 (36.819) Prec@5 62.500 (67.571) Epoch: [22][8170/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.6593 (2.6021) Prec@1 33.125 (36.819) Prec@5 68.125 (67.571) Epoch: [22][8180/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 2.5590 (2.6021) Prec@1 39.375 (36.817) Prec@5 66.875 (67.571) Epoch: [22][8190/11272] Time 0.894 (0.807) Data 0.001 (0.002) Loss 2.3452 (2.6022) Prec@1 42.500 (36.816) Prec@5 74.375 (67.570) Epoch: [22][8200/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 2.6942 (2.6022) Prec@1 38.750 (36.816) Prec@5 64.375 (67.569) Epoch: [22][8210/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6439 (2.6022) Prec@1 34.375 (36.816) Prec@5 66.875 (67.569) Epoch: [22][8220/11272] Time 0.764 (0.807) Data 0.001 (0.002) Loss 2.7570 (2.6022) Prec@1 30.625 (36.817) Prec@5 70.000 (67.571) Epoch: [22][8230/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.7016 (2.6022) Prec@1 31.250 (36.817) Prec@5 65.625 (67.572) Epoch: [22][8240/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.7362 (2.6022) Prec@1 35.625 (36.816) Prec@5 64.375 (67.572) Epoch: [22][8250/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5716 (2.6022) Prec@1 33.750 (36.813) Prec@5 66.250 (67.570) Epoch: [22][8260/11272] Time 0.903 (0.807) Data 0.001 (0.002) Loss 2.5126 (2.6022) Prec@1 35.625 (36.812) Prec@5 66.875 (67.570) Epoch: [22][8270/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.5516 (2.6022) Prec@1 45.000 (36.812) Prec@5 71.250 (67.572) Epoch: [22][8280/11272] Time 0.714 (0.807) Data 0.001 (0.002) Loss 2.6405 (2.6021) Prec@1 35.000 (36.813) Prec@5 67.500 (67.574) Epoch: [22][8290/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.8381 (2.6021) Prec@1 30.000 (36.814) Prec@5 61.875 (67.573) Epoch: [22][8300/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.6702 (2.6021) Prec@1 42.500 (36.817) Prec@5 65.625 (67.575) Epoch: [22][8310/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.7189 (2.6022) Prec@1 34.375 (36.815) Prec@5 66.875 (67.572) Epoch: [22][8320/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.8309 (2.6021) Prec@1 33.750 (36.815) Prec@5 62.500 (67.574) Epoch: [22][8330/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.6458 (2.6021) Prec@1 36.875 (36.815) Prec@5 68.750 (67.574) Epoch: [22][8340/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.3921 (2.6021) Prec@1 42.500 (36.815) Prec@5 71.250 (67.574) Epoch: [22][8350/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.6174 (2.6020) Prec@1 34.375 (36.815) Prec@5 68.125 (67.574) Epoch: [22][8360/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.4801 (2.6020) Prec@1 41.250 (36.815) Prec@5 70.625 (67.574) Epoch: [22][8370/11272] Time 0.720 (0.807) Data 0.001 (0.002) Loss 2.6528 (2.6020) Prec@1 35.625 (36.814) Prec@5 66.250 (67.575) Epoch: [22][8380/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.7447 (2.6021) Prec@1 36.250 (36.814) Prec@5 65.000 (67.573) Epoch: [22][8390/11272] Time 0.940 (0.807) Data 0.002 (0.002) Loss 2.6828 (2.6020) Prec@1 36.250 (36.817) Prec@5 66.250 (67.573) Epoch: [22][8400/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.2721 (2.6020) Prec@1 43.750 (36.818) Prec@5 73.750 (67.575) Epoch: [22][8410/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.8294 (2.6020) Prec@1 34.375 (36.819) Prec@5 62.500 (67.575) Epoch: [22][8420/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.6746 (2.6019) Prec@1 33.750 (36.820) Prec@5 66.875 (67.576) Epoch: [22][8430/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.4477 (2.6019) Prec@1 44.375 (36.819) Prec@5 70.000 (67.576) Epoch: [22][8440/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.7595 (2.6019) Prec@1 33.750 (36.819) Prec@5 60.000 (67.575) Epoch: [22][8450/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.6611 (2.6019) Prec@1 34.375 (36.819) Prec@5 66.250 (67.577) Epoch: [22][8460/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 2.5313 (2.6019) Prec@1 35.000 (36.818) Prec@5 70.625 (67.578) Epoch: [22][8470/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.4002 (2.6019) Prec@1 36.250 (36.817) Prec@5 73.125 (67.578) Epoch: [22][8480/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.8682 (2.6019) Prec@1 35.000 (36.818) Prec@5 65.000 (67.578) Epoch: [22][8490/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.3614 (2.6019) Prec@1 44.375 (36.818) Prec@5 73.750 (67.579) Epoch: [22][8500/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.2726 (2.6019) Prec@1 40.625 (36.816) Prec@5 76.250 (67.579) Epoch: [22][8510/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.5173 (2.6020) Prec@1 37.500 (36.813) Prec@5 66.875 (67.578) Epoch: [22][8520/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.9666 (2.6020) Prec@1 26.875 (36.814) Prec@5 61.875 (67.581) Epoch: [22][8530/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.5340 (2.6019) Prec@1 33.750 (36.815) Prec@5 66.875 (67.581) Epoch: [22][8540/11272] Time 0.780 (0.807) Data 0.002 (0.002) Loss 2.7284 (2.6019) Prec@1 33.750 (36.814) Prec@5 66.875 (67.580) Epoch: [22][8550/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.3064 (2.6019) Prec@1 40.625 (36.816) Prec@5 75.000 (67.582) Epoch: [22][8560/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.8010 (2.6019) Prec@1 36.875 (36.816) Prec@5 63.125 (67.582) Epoch: [22][8570/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.3962 (2.6018) Prec@1 36.250 (36.819) Prec@5 71.875 (67.584) Epoch: [22][8580/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.7389 (2.6018) Prec@1 39.375 (36.818) Prec@5 61.875 (67.583) Epoch: [22][8590/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.6707 (2.6017) Prec@1 37.500 (36.818) Prec@5 66.875 (67.584) Epoch: [22][8600/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.6738 (2.6018) Prec@1 36.250 (36.818) Prec@5 61.875 (67.582) Epoch: [22][8610/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.5931 (2.6017) Prec@1 41.875 (36.818) Prec@5 65.000 (67.583) Epoch: [22][8620/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.8732 (2.6017) Prec@1 31.250 (36.817) Prec@5 60.000 (67.582) Epoch: [22][8630/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.7171 (2.6017) Prec@1 36.250 (36.819) Prec@5 67.500 (67.585) Epoch: [22][8640/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.8376 (2.6018) Prec@1 31.875 (36.819) Prec@5 61.875 (67.583) Epoch: [22][8650/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.3737 (2.6017) Prec@1 41.250 (36.821) Prec@5 71.875 (67.584) Epoch: [22][8660/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.4852 (2.6016) Prec@1 36.875 (36.822) Prec@5 70.625 (67.584) Epoch: [22][8670/11272] Time 0.872 (0.807) Data 0.001 (0.002) Loss 2.7419 (2.6016) Prec@1 34.375 (36.823) Prec@5 63.750 (67.585) Epoch: [22][8680/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.4973 (2.6015) Prec@1 33.750 (36.824) Prec@5 68.125 (67.585) Epoch: [22][8690/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5231 (2.6014) Prec@1 39.375 (36.826) Prec@5 68.750 (67.585) Epoch: [22][8700/11272] Time 0.705 (0.807) Data 0.001 (0.002) Loss 2.6514 (2.6015) Prec@1 35.625 (36.823) Prec@5 66.875 (67.585) Epoch: [22][8710/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.5590 (2.6015) Prec@1 40.625 (36.823) Prec@5 68.125 (67.584) Epoch: [22][8720/11272] Time 0.831 (0.807) Data 0.002 (0.002) Loss 2.5224 (2.6014) Prec@1 33.750 (36.825) Prec@5 73.125 (67.587) Epoch: [22][8730/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.4550 (2.6014) Prec@1 37.500 (36.825) Prec@5 70.625 (67.588) Epoch: [22][8740/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.6308 (2.6015) Prec@1 38.125 (36.825) Prec@5 65.625 (67.587) Epoch: [22][8750/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.7164 (2.6015) Prec@1 38.125 (36.824) Prec@5 67.500 (67.587) Epoch: [22][8760/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.8576 (2.6015) Prec@1 31.250 (36.825) Prec@5 68.125 (67.588) Epoch: [22][8770/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.6913 (2.6015) Prec@1 39.375 (36.825) Prec@5 66.250 (67.587) Epoch: [22][8780/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.7078 (2.6015) Prec@1 33.750 (36.826) Prec@5 66.250 (67.588) Epoch: [22][8790/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.7751 (2.6015) Prec@1 39.375 (36.826) Prec@5 67.500 (67.590) Epoch: [22][8800/11272] Time 0.766 (0.807) Data 0.003 (0.002) Loss 2.6718 (2.6015) Prec@1 36.250 (36.828) Prec@5 70.625 (67.590) Epoch: [22][8810/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.5604 (2.6016) Prec@1 36.250 (36.826) Prec@5 68.750 (67.590) Epoch: [22][8820/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.5611 (2.6015) Prec@1 40.000 (36.829) Prec@5 70.000 (67.592) Epoch: [22][8830/11272] Time 0.833 (0.807) Data 0.001 (0.002) Loss 2.6920 (2.6016) Prec@1 34.375 (36.827) Prec@5 65.000 (67.591) Epoch: [22][8840/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.6098 (2.6015) Prec@1 36.250 (36.828) Prec@5 68.750 (67.592) Epoch: [22][8850/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5933 (2.6015) Prec@1 36.875 (36.829) Prec@5 69.375 (67.593) Epoch: [22][8860/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.5067 (2.6016) Prec@1 43.125 (36.827) Prec@5 70.000 (67.591) Epoch: [22][8870/11272] Time 0.908 (0.807) Data 0.005 (0.002) Loss 2.3577 (2.6016) Prec@1 44.375 (36.825) Prec@5 75.000 (67.591) Epoch: [22][8880/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6337 (2.6016) Prec@1 35.625 (36.826) Prec@5 66.875 (67.590) Epoch: [22][8890/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.6273 (2.6015) Prec@1 35.625 (36.826) Prec@5 63.750 (67.592) Epoch: [22][8900/11272] Time 0.872 (0.807) Data 0.001 (0.002) Loss 2.8466 (2.6015) Prec@1 32.500 (36.825) Prec@5 62.500 (67.593) Epoch: [22][8910/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.6478 (2.6016) Prec@1 40.000 (36.826) Prec@5 68.750 (67.593) Epoch: [22][8920/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.5938 (2.6016) Prec@1 38.750 (36.826) Prec@5 70.000 (67.593) Epoch: [22][8930/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.6291 (2.6015) Prec@1 35.625 (36.826) Prec@5 68.125 (67.593) Epoch: [22][8940/11272] Time 0.970 (0.807) Data 0.002 (0.002) Loss 2.5088 (2.6016) Prec@1 38.125 (36.824) Prec@5 70.625 (67.591) Epoch: [22][8950/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.4205 (2.6016) Prec@1 36.250 (36.823) Prec@5 67.500 (67.590) Epoch: [22][8960/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.6570 (2.6016) Prec@1 38.125 (36.822) Prec@5 68.125 (67.589) Epoch: [22][8970/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.7256 (2.6016) Prec@1 32.500 (36.823) Prec@5 66.250 (67.590) Epoch: [22][8980/11272] Time 0.910 (0.807) Data 0.003 (0.002) Loss 2.8424 (2.6016) Prec@1 34.375 (36.822) Prec@5 60.625 (67.591) Epoch: [22][8990/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.3927 (2.6015) Prec@1 45.000 (36.824) Prec@5 69.375 (67.591) Epoch: [22][9000/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5171 (2.6016) Prec@1 39.375 (36.822) Prec@5 68.125 (67.588) Epoch: [22][9010/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.4957 (2.6016) Prec@1 38.125 (36.820) Prec@5 71.250 (67.589) Epoch: [22][9020/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.4358 (2.6016) Prec@1 41.250 (36.820) Prec@5 72.500 (67.588) Epoch: [22][9030/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.5213 (2.6016) Prec@1 38.125 (36.821) Prec@5 68.125 (67.589) Epoch: [22][9040/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.7904 (2.6017) Prec@1 33.750 (36.820) Prec@5 61.875 (67.585) Epoch: [22][9050/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5210 (2.6018) Prec@1 45.625 (36.820) Prec@5 70.000 (67.585) Epoch: [22][9060/11272] Time 0.741 (0.807) Data 0.004 (0.002) Loss 2.5361 (2.6017) Prec@1 40.625 (36.821) Prec@5 65.000 (67.585) Epoch: [22][9070/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.5061 (2.6017) Prec@1 38.750 (36.821) Prec@5 70.625 (67.585) Epoch: [22][9080/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 2.6738 (2.6017) Prec@1 31.875 (36.818) Prec@5 65.000 (67.584) Epoch: [22][9090/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.8789 (2.6017) Prec@1 30.000 (36.818) Prec@5 64.375 (67.585) Epoch: [22][9100/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7073 (2.6017) Prec@1 33.125 (36.817) Prec@5 66.250 (67.585) Epoch: [22][9110/11272] Time 0.717 (0.807) Data 0.001 (0.002) Loss 2.6627 (2.6018) Prec@1 33.125 (36.816) Prec@5 68.125 (67.585) Epoch: [22][9120/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.6837 (2.6018) Prec@1 35.625 (36.816) Prec@5 65.000 (67.585) Epoch: [22][9130/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.5864 (2.6018) Prec@1 37.500 (36.816) Prec@5 66.875 (67.583) Epoch: [22][9140/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.5810 (2.6019) Prec@1 36.875 (36.816) Prec@5 66.875 (67.582) Epoch: [22][9150/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4597 (2.6019) Prec@1 39.375 (36.817) Prec@5 73.750 (67.583) Epoch: [22][9160/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.6642 (2.6019) Prec@1 30.625 (36.816) Prec@5 66.250 (67.583) Epoch: [22][9170/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.8164 (2.6018) Prec@1 31.250 (36.816) Prec@5 66.250 (67.583) Epoch: [22][9180/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.5597 (2.6019) Prec@1 38.125 (36.815) Prec@5 64.375 (67.581) Epoch: [22][9190/11272] Time 0.958 (0.807) Data 0.002 (0.002) Loss 2.5577 (2.6019) Prec@1 43.750 (36.815) Prec@5 66.250 (67.581) Epoch: [22][9200/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.5695 (2.6018) Prec@1 39.375 (36.818) Prec@5 64.375 (67.582) Epoch: [22][9210/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.7191 (2.6019) Prec@1 33.125 (36.817) Prec@5 71.250 (67.581) Epoch: [22][9220/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6640 (2.6019) Prec@1 38.125 (36.818) Prec@5 63.750 (67.580) Epoch: [22][9230/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.5992 (2.6018) Prec@1 38.750 (36.820) Prec@5 67.500 (67.580) Epoch: [22][9240/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.7948 (2.6018) Prec@1 32.500 (36.821) Prec@5 61.250 (67.580) Epoch: [22][9250/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.7151 (2.6017) Prec@1 33.125 (36.823) Prec@5 63.125 (67.583) Epoch: [22][9260/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.4490 (2.6017) Prec@1 35.625 (36.824) Prec@5 72.500 (67.585) Epoch: [22][9270/11272] Time 0.867 (0.807) Data 0.001 (0.002) Loss 2.5757 (2.6016) Prec@1 38.750 (36.825) Prec@5 69.375 (67.584) Epoch: [22][9280/11272] Time 0.905 (0.807) Data 0.002 (0.002) Loss 2.5582 (2.6017) Prec@1 38.750 (36.825) Prec@5 65.625 (67.583) Epoch: [22][9290/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.5141 (2.6017) Prec@1 41.875 (36.825) Prec@5 68.750 (67.582) Epoch: [22][9300/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6962 (2.6017) Prec@1 34.375 (36.825) Prec@5 61.250 (67.581) Epoch: [22][9310/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.6490 (2.6018) Prec@1 39.375 (36.823) Prec@5 70.625 (67.579) Epoch: [22][9320/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.5847 (2.6019) Prec@1 41.250 (36.822) Prec@5 68.750 (67.578) Epoch: [22][9330/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.5738 (2.6020) Prec@1 35.000 (36.820) Prec@5 72.500 (67.578) Epoch: [22][9340/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.5376 (2.6019) Prec@1 37.500 (36.820) Prec@5 68.750 (67.577) Epoch: [22][9350/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 2.8616 (2.6019) Prec@1 32.500 (36.821) Prec@5 65.000 (67.580) Epoch: [22][9360/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.8340 (2.6019) Prec@1 36.250 (36.821) Prec@5 62.500 (67.581) Epoch: [22][9370/11272] Time 0.787 (0.807) Data 0.001 (0.002) Loss 2.7323 (2.6018) Prec@1 32.500 (36.823) Prec@5 63.750 (67.582) Epoch: [22][9380/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.6040 (2.6019) Prec@1 33.750 (36.822) Prec@5 68.125 (67.581) Epoch: [22][9390/11272] Time 0.838 (0.807) Data 0.003 (0.002) Loss 2.6926 (2.6018) Prec@1 33.750 (36.823) Prec@5 68.750 (67.582) Epoch: [22][9400/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.5143 (2.6018) Prec@1 40.000 (36.824) Prec@5 68.125 (67.581) Epoch: [22][9410/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.6643 (2.6019) Prec@1 36.250 (36.824) Prec@5 65.625 (67.579) Epoch: [22][9420/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.6911 (2.6019) Prec@1 32.500 (36.821) Prec@5 64.375 (67.579) Epoch: [22][9430/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.7331 (2.6020) Prec@1 38.125 (36.822) Prec@5 63.750 (67.579) Epoch: [22][9440/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.8291 (2.6020) Prec@1 30.625 (36.821) Prec@5 63.750 (67.578) Epoch: [22][9450/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.3522 (2.6020) Prec@1 43.750 (36.821) Prec@5 70.625 (67.578) Epoch: [22][9460/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.2698 (2.6019) Prec@1 43.125 (36.821) Prec@5 75.625 (67.581) Epoch: [22][9470/11272] Time 0.777 (0.807) Data 0.002 (0.002) Loss 2.8995 (2.6020) Prec@1 32.500 (36.820) Prec@5 63.750 (67.581) Epoch: [22][9480/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 2.6700 (2.6020) Prec@1 36.250 (36.819) Prec@5 68.125 (67.582) Epoch: [22][9490/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.4943 (2.6020) Prec@1 38.750 (36.819) Prec@5 70.625 (67.581) Epoch: [22][9500/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.6633 (2.6021) Prec@1 36.875 (36.817) Prec@5 66.875 (67.578) Epoch: [22][9510/11272] Time 0.759 (0.807) Data 0.002 (0.002) Loss 2.4094 (2.6021) Prec@1 43.125 (36.816) Prec@5 68.125 (67.579) Epoch: [22][9520/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.8254 (2.6021) Prec@1 33.750 (36.816) Prec@5 65.625 (67.579) Epoch: [22][9530/11272] Time 0.895 (0.807) Data 0.002 (0.002) Loss 2.4195 (2.6021) Prec@1 40.625 (36.815) Prec@5 66.250 (67.578) Epoch: [22][9540/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.6584 (2.6021) Prec@1 33.125 (36.815) Prec@5 65.625 (67.577) Epoch: [22][9550/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.6147 (2.6021) Prec@1 34.375 (36.817) Prec@5 71.250 (67.579) Epoch: [22][9560/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.1964 (2.6021) Prec@1 43.750 (36.817) Prec@5 78.125 (67.579) Epoch: [22][9570/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.6721 (2.6021) Prec@1 28.125 (36.815) Prec@5 65.625 (67.578) Epoch: [22][9580/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.5631 (2.6022) Prec@1 37.500 (36.813) Prec@5 68.750 (67.577) Epoch: [22][9590/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.4292 (2.6022) Prec@1 41.875 (36.814) Prec@5 71.250 (67.577) Epoch: [22][9600/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 2.7342 (2.6022) Prec@1 31.875 (36.811) Prec@5 63.125 (67.576) Epoch: [22][9610/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.6683 (2.6023) Prec@1 38.750 (36.811) Prec@5 65.625 (67.574) Epoch: [22][9620/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.7741 (2.6024) Prec@1 36.875 (36.808) Prec@5 66.250 (67.572) Epoch: [22][9630/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.7273 (2.6025) Prec@1 36.250 (36.808) Prec@5 64.375 (67.571) Epoch: [22][9640/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.5287 (2.6026) Prec@1 35.000 (36.807) Prec@5 67.500 (67.569) Epoch: [22][9650/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.5072 (2.6026) Prec@1 35.000 (36.805) Prec@5 70.000 (67.568) Epoch: [22][9660/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7282 (2.6026) Prec@1 35.625 (36.804) Prec@5 64.375 (67.568) Epoch: [22][9670/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.8731 (2.6026) Prec@1 35.000 (36.805) Prec@5 60.625 (67.567) Epoch: [22][9680/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 2.6194 (2.6027) Prec@1 35.000 (36.805) Prec@5 70.000 (67.565) Epoch: [22][9690/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.6619 (2.6027) Prec@1 39.375 (36.808) Prec@5 68.125 (67.566) Epoch: [22][9700/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.4445 (2.6027) Prec@1 33.750 (36.806) Prec@5 72.500 (67.566) Epoch: [22][9710/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6748 (2.6025) Prec@1 29.375 (36.808) Prec@5 68.125 (67.569) Epoch: [22][9720/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.9200 (2.6026) Prec@1 34.375 (36.807) Prec@5 62.500 (67.568) Epoch: [22][9730/11272] Time 0.774 (0.807) Data 0.004 (0.002) Loss 2.6496 (2.6026) Prec@1 36.875 (36.808) Prec@5 68.750 (67.569) Epoch: [22][9740/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.5055 (2.6025) Prec@1 31.875 (36.808) Prec@5 66.875 (67.570) Epoch: [22][9750/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5565 (2.6025) Prec@1 36.875 (36.808) Prec@5 66.875 (67.570) Epoch: [22][9760/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.6622 (2.6025) Prec@1 38.125 (36.807) Prec@5 67.500 (67.571) Epoch: [22][9770/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4546 (2.6026) Prec@1 37.500 (36.808) Prec@5 67.500 (67.571) Epoch: [22][9780/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.5955 (2.6026) Prec@1 37.500 (36.806) Prec@5 71.250 (67.571) Epoch: [22][9790/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.6368 (2.6025) Prec@1 37.500 (36.809) Prec@5 63.125 (67.572) Epoch: [22][9800/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.6712 (2.6024) Prec@1 31.875 (36.810) Prec@5 66.250 (67.574) Epoch: [22][9810/11272] Time 0.775 (0.807) Data 0.002 (0.002) Loss 2.6776 (2.6024) Prec@1 35.625 (36.810) Prec@5 67.500 (67.574) Epoch: [22][9820/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4443 (2.6023) Prec@1 36.250 (36.810) Prec@5 70.625 (67.575) Epoch: [22][9830/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.7616 (2.6024) Prec@1 34.375 (36.811) Prec@5 64.375 (67.574) Epoch: [22][9840/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.7781 (2.6024) Prec@1 30.625 (36.810) Prec@5 63.750 (67.572) Epoch: [22][9850/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6283 (2.6025) Prec@1 40.625 (36.809) Prec@5 66.250 (67.570) Epoch: [22][9860/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.5876 (2.6024) Prec@1 39.375 (36.811) Prec@5 65.000 (67.571) Epoch: [22][9870/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.6021 (2.6026) Prec@1 34.375 (36.808) Prec@5 68.125 (67.569) Epoch: [22][9880/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.3645 (2.6025) Prec@1 41.250 (36.810) Prec@5 75.625 (67.571) Epoch: [22][9890/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.7371 (2.6025) Prec@1 27.500 (36.808) Prec@5 65.625 (67.570) Epoch: [22][9900/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.8829 (2.6025) Prec@1 31.250 (36.807) Prec@5 61.875 (67.571) Epoch: [22][9910/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.3826 (2.6025) Prec@1 41.875 (36.809) Prec@5 73.125 (67.570) Epoch: [22][9920/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6547 (2.6026) Prec@1 36.250 (36.809) Prec@5 64.375 (67.568) Epoch: [22][9930/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6897 (2.6026) Prec@1 33.750 (36.811) Prec@5 66.250 (67.569) Epoch: [22][9940/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.7318 (2.6026) Prec@1 34.375 (36.810) Prec@5 65.000 (67.569) Epoch: [22][9950/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.6835 (2.6026) Prec@1 31.875 (36.809) Prec@5 65.000 (67.568) Epoch: [22][9960/11272] Time 0.723 (0.807) Data 0.002 (0.002) Loss 2.6699 (2.6027) Prec@1 38.750 (36.807) Prec@5 67.500 (67.567) Epoch: [22][9970/11272] Time 0.784 (0.807) Data 0.002 (0.002) Loss 2.6969 (2.6028) Prec@1 31.875 (36.804) Prec@5 66.875 (67.566) Epoch: [22][9980/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.6259 (2.6029) Prec@1 38.750 (36.803) Prec@5 68.125 (67.564) Epoch: [22][9990/11272] Time 0.754 (0.807) Data 0.004 (0.002) Loss 2.4046 (2.6028) Prec@1 40.625 (36.806) Prec@5 69.375 (67.565) Epoch: [22][10000/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.5862 (2.6027) Prec@1 40.625 (36.807) Prec@5 69.375 (67.567) Epoch: [22][10010/11272] Time 0.902 (0.807) Data 0.001 (0.002) Loss 2.7612 (2.6028) Prec@1 30.625 (36.807) Prec@5 65.625 (67.567) Epoch: [22][10020/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.3832 (2.6027) Prec@1 38.750 (36.808) Prec@5 71.875 (67.567) Epoch: [22][10030/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.4493 (2.6027) Prec@1 36.250 (36.808) Prec@5 71.250 (67.567) Epoch: [22][10040/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.7573 (2.6027) Prec@1 30.625 (36.806) Prec@5 63.125 (67.567) Epoch: [22][10050/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.4659 (2.6026) Prec@1 38.750 (36.808) Prec@5 71.250 (67.568) Epoch: [22][10060/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.5749 (2.6026) Prec@1 35.000 (36.807) Prec@5 72.500 (67.569) Epoch: [22][10070/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7262 (2.6026) Prec@1 38.125 (36.808) Prec@5 66.875 (67.569) Epoch: [22][10080/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.5031 (2.6025) Prec@1 35.000 (36.810) Prec@5 71.250 (67.569) Epoch: [22][10090/11272] Time 0.928 (0.807) Data 0.002 (0.002) Loss 2.4654 (2.6025) Prec@1 37.500 (36.810) Prec@5 72.500 (67.570) Epoch: [22][10100/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.3182 (2.6026) Prec@1 41.875 (36.810) Prec@5 72.500 (67.569) Epoch: [22][10110/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.5631 (2.6025) Prec@1 35.625 (36.812) Prec@5 72.500 (67.571) Epoch: [22][10120/11272] Time 0.885 (0.807) Data 0.001 (0.002) Loss 2.5286 (2.6025) Prec@1 40.625 (36.813) Prec@5 68.125 (67.571) Epoch: [22][10130/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.4903 (2.6024) Prec@1 41.875 (36.815) Prec@5 68.750 (67.571) Epoch: [22][10140/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.7632 (2.6024) Prec@1 32.500 (36.817) Prec@5 64.375 (67.571) Epoch: [22][10150/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.7228 (2.6024) Prec@1 32.500 (36.817) Prec@5 64.375 (67.571) Epoch: [22][10160/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.5506 (2.6024) Prec@1 37.500 (36.816) Prec@5 65.625 (67.571) Epoch: [22][10170/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.6197 (2.6024) Prec@1 36.250 (36.815) Prec@5 66.250 (67.570) Epoch: [22][10180/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.6724 (2.6024) Prec@1 34.375 (36.816) Prec@5 64.375 (67.572) Epoch: [22][10190/11272] Time 0.771 (0.807) Data 0.002 (0.002) Loss 2.6294 (2.6024) Prec@1 36.875 (36.819) Prec@5 67.500 (67.571) Epoch: [22][10200/11272] Time 0.891 (0.807) Data 0.001 (0.002) Loss 2.6892 (2.6025) Prec@1 34.375 (36.817) Prec@5 69.375 (67.568) Epoch: [22][10210/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.8367 (2.6025) Prec@1 28.125 (36.816) Prec@5 60.625 (67.566) Epoch: [22][10220/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.6133 (2.6025) Prec@1 35.625 (36.817) Prec@5 66.875 (67.565) Epoch: [22][10230/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.3442 (2.6025) Prec@1 37.500 (36.817) Prec@5 74.375 (67.566) Epoch: [22][10240/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.5240 (2.6026) Prec@1 38.125 (36.818) Prec@5 66.875 (67.565) Epoch: [22][10250/11272] Time 0.936 (0.807) Data 0.002 (0.002) Loss 2.5925 (2.6025) Prec@1 35.000 (36.818) Prec@5 72.500 (67.566) Epoch: [22][10260/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.5121 (2.6024) Prec@1 39.375 (36.821) Prec@5 68.750 (67.568) Epoch: [22][10270/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.6955 (2.6025) Prec@1 42.500 (36.819) Prec@5 64.375 (67.566) Epoch: [22][10280/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.4528 (2.6024) Prec@1 36.875 (36.821) Prec@5 70.625 (67.569) Epoch: [22][10290/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.7806 (2.6024) Prec@1 35.625 (36.821) Prec@5 63.125 (67.570) Epoch: [22][10300/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.7845 (2.6025) Prec@1 27.500 (36.820) Prec@5 63.125 (67.568) Epoch: [22][10310/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.5370 (2.6026) Prec@1 37.500 (36.818) Prec@5 68.750 (67.566) Epoch: [22][10320/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.6461 (2.6025) Prec@1 28.750 (36.817) Prec@5 69.375 (67.566) Epoch: [22][10330/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.9654 (2.6026) Prec@1 27.500 (36.816) Prec@5 61.250 (67.564) Epoch: [22][10340/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.6141 (2.6027) Prec@1 35.625 (36.814) Prec@5 71.250 (67.563) Epoch: [22][10350/11272] Time 0.833 (0.807) Data 0.001 (0.002) Loss 2.6237 (2.6028) Prec@1 37.500 (36.813) Prec@5 63.125 (67.561) Epoch: [22][10360/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.4126 (2.6028) Prec@1 40.625 (36.812) Prec@5 71.875 (67.561) Epoch: [22][10370/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.5910 (2.6027) Prec@1 37.500 (36.812) Prec@5 65.625 (67.561) Epoch: [22][10380/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.6668 (2.6028) Prec@1 34.375 (36.812) Prec@5 69.375 (67.560) Epoch: [22][10390/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.6790 (2.6028) Prec@1 38.750 (36.812) Prec@5 63.750 (67.561) Epoch: [22][10400/11272] Time 0.782 (0.807) Data 0.002 (0.002) Loss 2.6951 (2.6028) Prec@1 33.125 (36.814) Prec@5 63.750 (67.561) Epoch: [22][10410/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6852 (2.6027) Prec@1 34.375 (36.814) Prec@5 64.375 (67.561) Epoch: [22][10420/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.8370 (2.6027) Prec@1 34.375 (36.816) Prec@5 65.000 (67.560) Epoch: [22][10430/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.7760 (2.6028) Prec@1 37.500 (36.815) Prec@5 63.125 (67.559) Epoch: [22][10440/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.6274 (2.6027) Prec@1 35.000 (36.815) Prec@5 68.750 (67.560) Epoch: [22][10450/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.7292 (2.6028) Prec@1 38.750 (36.815) Prec@5 63.750 (67.558) Epoch: [22][10460/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.4658 (2.6028) Prec@1 36.250 (36.814) Prec@5 74.375 (67.558) Epoch: [22][10470/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.3450 (2.6028) Prec@1 41.250 (36.814) Prec@5 69.375 (67.557) Epoch: [22][10480/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.7373 (2.6028) Prec@1 30.000 (36.815) Prec@5 70.625 (67.560) Epoch: [22][10490/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.5695 (2.6027) Prec@1 38.750 (36.815) Prec@5 72.500 (67.560) Epoch: [22][10500/11272] Time 0.931 (0.807) Data 0.002 (0.002) Loss 2.1932 (2.6026) Prec@1 39.375 (36.815) Prec@5 73.750 (67.560) Epoch: [22][10510/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 2.5921 (2.6026) Prec@1 37.500 (36.817) Prec@5 67.500 (67.562) Epoch: [22][10520/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.3747 (2.6025) Prec@1 42.500 (36.819) Prec@5 72.500 (67.564) Epoch: [22][10530/11272] Time 0.828 (0.807) Data 0.002 (0.002) Loss 2.5277 (2.6025) Prec@1 36.250 (36.817) Prec@5 69.375 (67.563) Epoch: [22][10540/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.6975 (2.6026) Prec@1 34.375 (36.816) Prec@5 61.875 (67.560) Epoch: [22][10550/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.6784 (2.6026) Prec@1 34.375 (36.816) Prec@5 70.625 (67.560) Epoch: [22][10560/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.5227 (2.6026) Prec@1 41.250 (36.815) Prec@5 66.875 (67.559) Epoch: [22][10570/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.7995 (2.6026) Prec@1 30.625 (36.815) Prec@5 63.125 (67.562) Epoch: [22][10580/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.7370 (2.6027) Prec@1 33.750 (36.815) Prec@5 66.875 (67.562) Epoch: [22][10590/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.5485 (2.6027) Prec@1 38.125 (36.813) Prec@5 68.750 (67.561) Epoch: [22][10600/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.3865 (2.6027) Prec@1 40.625 (36.812) Prec@5 70.000 (67.561) Epoch: [22][10610/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.4571 (2.6027) Prec@1 39.375 (36.812) Prec@5 67.500 (67.559) Epoch: [22][10620/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.3541 (2.6028) Prec@1 36.875 (36.810) Prec@5 68.125 (67.558) Epoch: [22][10630/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.7048 (2.6027) Prec@1 39.375 (36.812) Prec@5 65.000 (67.558) Epoch: [22][10640/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.5429 (2.6027) Prec@1 37.500 (36.812) Prec@5 70.000 (67.557) Epoch: [22][10650/11272] Time 0.922 (0.807) Data 0.003 (0.002) Loss 2.5027 (2.6028) Prec@1 39.375 (36.812) Prec@5 71.875 (67.558) Epoch: [22][10660/11272] Time 0.738 (0.807) Data 0.003 (0.002) Loss 2.6225 (2.6028) Prec@1 38.125 (36.812) Prec@5 68.750 (67.558) Epoch: [22][10670/11272] Time 0.765 (0.807) Data 0.001 (0.002) Loss 2.6375 (2.6027) Prec@1 35.625 (36.812) Prec@5 69.375 (67.559) Epoch: [22][10680/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.4575 (2.6027) Prec@1 36.875 (36.812) Prec@5 70.625 (67.558) Epoch: [22][10690/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.6315 (2.6027) Prec@1 37.500 (36.811) Prec@5 68.125 (67.558) Epoch: [22][10700/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.5281 (2.6027) Prec@1 42.500 (36.812) Prec@5 69.375 (67.560) Epoch: [22][10710/11272] Time 0.823 (0.807) Data 0.002 (0.002) Loss 2.3393 (2.6027) Prec@1 38.125 (36.812) Prec@5 72.500 (67.560) Epoch: [22][10720/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.4536 (2.6027) Prec@1 38.125 (36.813) Prec@5 69.375 (67.561) Epoch: [22][10730/11272] Time 0.857 (0.807) Data 0.001 (0.002) Loss 2.5615 (2.6027) Prec@1 36.875 (36.814) Prec@5 63.750 (67.560) Epoch: [22][10740/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.6570 (2.6027) Prec@1 40.625 (36.813) Prec@5 64.375 (67.558) Epoch: [22][10750/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.6334 (2.6028) Prec@1 32.500 (36.813) Prec@5 67.500 (67.557) Epoch: [22][10760/11272] Time 0.830 (0.807) Data 0.002 (0.002) Loss 2.8889 (2.6027) Prec@1 35.625 (36.813) Prec@5 56.250 (67.557) Epoch: [22][10770/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.5567 (2.6028) Prec@1 33.750 (36.811) Prec@5 65.625 (67.556) Epoch: [22][10780/11272] Time 0.762 (0.807) Data 0.001 (0.002) Loss 2.7420 (2.6028) Prec@1 32.500 (36.811) Prec@5 62.500 (67.557) Epoch: [22][10790/11272] Time 0.874 (0.807) Data 0.001 (0.002) Loss 2.7395 (2.6027) Prec@1 36.250 (36.811) Prec@5 62.500 (67.558) Epoch: [22][10800/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 2.8287 (2.6027) Prec@1 31.875 (36.811) Prec@5 65.625 (67.558) Epoch: [22][10810/11272] Time 0.758 (0.807) Data 0.001 (0.002) Loss 2.7507 (2.6027) Prec@1 34.375 (36.813) Prec@5 62.500 (67.558) Epoch: [22][10820/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.8658 (2.6028) Prec@1 32.500 (36.812) Prec@5 61.250 (67.556) Epoch: [22][10830/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.5788 (2.6029) Prec@1 34.375 (36.812) Prec@5 66.875 (67.557) Epoch: [22][10840/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.2419 (2.6029) Prec@1 47.500 (36.811) Prec@5 75.625 (67.557) Epoch: [22][10850/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.6229 (2.6029) Prec@1 40.000 (36.812) Prec@5 68.125 (67.558) Epoch: [22][10860/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.4883 (2.6028) Prec@1 41.250 (36.814) Prec@5 70.000 (67.561) Epoch: [22][10870/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.6472 (2.6028) Prec@1 40.000 (36.813) Prec@5 66.875 (67.559) Epoch: [22][10880/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.6880 (2.6028) Prec@1 40.000 (36.813) Prec@5 65.625 (67.559) Epoch: [22][10890/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.6004 (2.6028) Prec@1 35.625 (36.813) Prec@5 65.000 (67.558) Epoch: [22][10900/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.5549 (2.6028) Prec@1 40.000 (36.813) Prec@5 73.125 (67.559) Epoch: [22][10910/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.6472 (2.6028) Prec@1 34.375 (36.812) Prec@5 60.625 (67.560) Epoch: [22][10920/11272] Time 0.755 (0.807) Data 0.005 (0.002) Loss 2.6893 (2.6029) Prec@1 33.750 (36.811) Prec@5 61.875 (67.558) Epoch: [22][10930/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.8882 (2.6030) Prec@1 31.875 (36.808) Prec@5 63.750 (67.557) Epoch: [22][10940/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.6735 (2.6030) Prec@1 34.375 (36.806) Prec@5 63.125 (67.556) Epoch: [22][10950/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.6099 (2.6030) Prec@1 39.375 (36.805) Prec@5 63.750 (67.557) Epoch: [22][10960/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 2.5523 (2.6030) Prec@1 33.750 (36.804) Prec@5 66.250 (67.556) Epoch: [22][10970/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.6876 (2.6031) Prec@1 31.250 (36.803) Prec@5 65.625 (67.556) Epoch: [22][10980/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.5732 (2.6031) Prec@1 35.625 (36.801) Prec@5 68.125 (67.556) Epoch: [22][10990/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.8797 (2.6032) Prec@1 31.250 (36.799) Prec@5 61.875 (67.555) Epoch: [22][11000/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.5777 (2.6032) Prec@1 37.500 (36.797) Prec@5 70.000 (67.554) Epoch: [22][11010/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5828 (2.6033) Prec@1 38.125 (36.797) Prec@5 68.750 (67.554) Epoch: [22][11020/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 2.6025 (2.6032) Prec@1 35.000 (36.797) Prec@5 66.875 (67.555) Epoch: [22][11030/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.5117 (2.6032) Prec@1 40.625 (36.797) Prec@5 69.375 (67.555) Epoch: [22][11040/11272] Time 0.794 (0.807) Data 0.002 (0.002) Loss 2.5862 (2.6032) Prec@1 41.875 (36.798) Prec@5 67.500 (67.555) Epoch: [22][11050/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 2.5907 (2.6032) Prec@1 35.625 (36.798) Prec@5 66.875 (67.555) Epoch: [22][11060/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.6548 (2.6032) Prec@1 38.750 (36.798) Prec@5 66.875 (67.555) Epoch: [22][11070/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.6665 (2.6032) Prec@1 38.750 (36.798) Prec@5 65.625 (67.553) Epoch: [22][11080/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.5278 (2.6032) Prec@1 37.500 (36.798) Prec@5 71.250 (67.554) Epoch: [22][11090/11272] Time 0.847 (0.807) Data 0.001 (0.002) Loss 2.7291 (2.6032) Prec@1 33.125 (36.796) Prec@5 66.250 (67.555) Epoch: [22][11100/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.5464 (2.6033) Prec@1 41.875 (36.796) Prec@5 68.750 (67.554) Epoch: [22][11110/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.6689 (2.6033) Prec@1 37.500 (36.796) Prec@5 68.125 (67.553) Epoch: [22][11120/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.8674 (2.6033) Prec@1 30.000 (36.795) Prec@5 56.875 (67.551) Epoch: [22][11130/11272] Time 0.869 (0.807) Data 0.001 (0.002) Loss 2.5747 (2.6034) Prec@1 38.750 (36.794) Prec@5 63.125 (67.549) Epoch: [22][11140/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.5324 (2.6034) Prec@1 38.125 (36.795) Prec@5 67.500 (67.548) Epoch: [22][11150/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.5866 (2.6034) Prec@1 35.625 (36.795) Prec@5 70.625 (67.547) Epoch: [22][11160/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.5099 (2.6034) Prec@1 34.375 (36.793) Prec@5 71.875 (67.548) Epoch: [22][11170/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.7282 (2.6033) Prec@1 36.875 (36.795) Prec@5 71.250 (67.549) Epoch: [22][11180/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.7007 (2.6033) Prec@1 33.750 (36.796) Prec@5 68.750 (67.549) Epoch: [22][11190/11272] Time 0.759 (0.807) Data 0.001 (0.002) Loss 2.6699 (2.6033) Prec@1 33.750 (36.797) Prec@5 66.250 (67.549) Epoch: [22][11200/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.9118 (2.6033) Prec@1 33.125 (36.797) Prec@5 58.125 (67.550) Epoch: [22][11210/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 2.6568 (2.6033) Prec@1 32.500 (36.797) Prec@5 64.375 (67.549) Epoch: [22][11220/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.7360 (2.6033) Prec@1 36.250 (36.798) Prec@5 63.750 (67.550) Epoch: [22][11230/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.6536 (2.6033) Prec@1 36.250 (36.799) Prec@5 66.250 (67.550) Epoch: [22][11240/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.2268 (2.6032) Prec@1 43.750 (36.801) Prec@5 74.375 (67.550) Epoch: [22][11250/11272] Time 0.897 (0.807) Data 0.001 (0.002) Loss 2.4304 (2.6033) Prec@1 43.125 (36.801) Prec@5 70.000 (67.549) Epoch: [22][11260/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.2503 (2.6032) Prec@1 42.500 (36.803) Prec@5 74.375 (67.550) Epoch: [22][11270/11272] Time 0.734 (0.807) Data 0.000 (0.002) Loss 2.6214 (2.6032) Prec@1 36.875 (36.804) Prec@5 65.000 (67.551) Test: [0/229] Time 1.297 (1.297) Loss 1.5474 (1.5474) Prec@1 57.500 (57.500) Prec@5 87.500 (87.500) Test: [10/229] Time 0.356 (0.486) Loss 1.7322 (2.1456) Prec@1 55.000 (45.341) Prec@5 87.500 (78.807) Test: [20/229] Time 0.442 (0.438) Loss 2.7222 (2.1987) Prec@1 31.875 (44.881) Prec@5 67.500 (76.845) Test: [30/229] Time 0.341 (0.420) Loss 2.2132 (2.1245) Prec@1 36.250 (46.391) Prec@5 76.875 (77.339) Test: [40/229] Time 0.409 (0.410) Loss 1.3059 (2.1898) Prec@1 76.250 (45.351) Prec@5 84.375 (75.976) Test: [50/229] Time 0.316 (0.405) Loss 2.5977 (2.2386) Prec@1 29.375 (44.547) Prec@5 72.500 (74.816) Test: [60/229] Time 0.406 (0.401) Loss 2.9737 (2.2346) Prec@1 18.750 (44.365) Prec@5 57.500 (75.020) Test: [70/229] Time 0.329 (0.399) Loss 1.6999 (2.2500) Prec@1 62.500 (44.164) Prec@5 80.625 (74.657) Test: [80/229] Time 0.379 (0.397) Loss 2.9116 (2.2739) Prec@1 18.750 (43.356) Prec@5 65.625 (74.421) Test: [90/229] Time 0.420 (0.396) Loss 1.8667 (2.2630) Prec@1 56.250 (43.544) Prec@5 78.125 (74.725) Test: [100/229] Time 0.384 (0.394) Loss 2.4047 (2.2411) Prec@1 41.250 (44.121) Prec@5 76.875 (75.198) Test: [110/229] Time 0.429 (0.394) Loss 2.0338 (2.2232) Prec@1 48.125 (44.386) Prec@5 76.250 (75.569) Test: [120/229] Time 0.326 (0.391) Loss 2.6889 (2.2397) Prec@1 29.375 (43.931) Prec@5 73.750 (75.408) Test: [130/229] Time 0.474 (0.392) Loss 1.5433 (2.2186) Prec@1 60.000 (44.337) Prec@5 88.125 (75.735) Test: [140/229] Time 0.452 (0.391) Loss 2.5614 (2.2479) Prec@1 35.000 (43.462) Prec@5 72.500 (75.293) Test: [150/229] Time 0.305 (0.390) Loss 1.6575 (2.2796) Prec@1 63.125 (42.848) Prec@5 79.375 (74.714) Test: [160/229] Time 0.402 (0.390) Loss 1.9244 (2.2859) Prec@1 55.625 (42.686) Prec@5 81.875 (74.616) Test: [170/229] Time 0.363 (0.388) Loss 2.7433 (2.2881) Prec@1 29.375 (42.628) Prec@5 70.625 (74.521) Test: [180/229] Time 0.446 (0.388) Loss 3.1242 (2.3076) Prec@1 23.750 (42.289) Prec@5 55.625 (73.985) Test: [190/229] Time 0.365 (0.387) Loss 1.8113 (2.3047) Prec@1 53.125 (42.464) Prec@5 86.875 (74.067) Test: [200/229] Time 0.328 (0.387) Loss 2.2994 (2.3034) Prec@1 34.375 (42.158) Prec@5 78.750 (74.297) Test: [210/229] Time 0.433 (0.388) Loss 1.8865 (2.2971) Prec@1 43.750 (42.316) Prec@5 81.875 (74.425) Test: [220/229] Time 0.353 (0.387) Loss 1.5601 (2.2917) Prec@1 58.125 (42.438) Prec@5 88.125 (74.536) * Prec@1 42.646 Prec@5 74.590 Epoch: [23][0/11272] Time 2.777 (2.777) Data 1.924 (1.924) Loss 2.5325 (2.5325) Prec@1 41.875 (41.875) Prec@5 68.750 (68.750) Epoch: [23][10/11272] Time 0.839 (0.982) Data 0.001 (0.177) Loss 2.5296 (2.4878) Prec@1 38.750 (38.068) Prec@5 68.125 (71.193) Epoch: [23][20/11272] Time 0.843 (0.894) Data 0.001 (0.093) Loss 2.5128 (2.5688) Prec@1 41.875 (37.024) Prec@5 71.250 (68.958) Epoch: [23][30/11272] Time 0.786 (0.870) Data 0.001 (0.064) Loss 2.4605 (2.5732) Prec@1 43.125 (37.218) Prec@5 71.250 (68.790) Epoch: [23][40/11272] Time 0.729 (0.852) Data 0.001 (0.049) Loss 2.5155 (2.5748) Prec@1 35.000 (37.302) Prec@5 68.750 (68.354) Epoch: [23][50/11272] Time 0.861 (0.846) Data 0.001 (0.039) Loss 2.6657 (2.5749) Prec@1 36.875 (37.279) Prec@5 63.125 (68.125) Epoch: [23][60/11272] Time 0.845 (0.838) Data 0.002 (0.033) Loss 2.7305 (2.5756) Prec@1 35.000 (37.131) Prec@5 68.750 (68.043) Epoch: [23][70/11272] Time 0.767 (0.833) Data 0.002 (0.029) Loss 2.5748 (2.5729) Prec@1 42.500 (37.306) Prec@5 67.500 (68.125) Epoch: [23][80/11272] Time 0.770 (0.830) Data 0.002 (0.025) Loss 2.6694 (2.5741) Prec@1 31.875 (37.477) Prec@5 68.125 (68.164) Epoch: [23][90/11272] Time 0.872 (0.828) Data 0.001 (0.023) Loss 2.6184 (2.5778) Prec@1 37.500 (37.445) Prec@5 68.750 (68.063) Epoch: [23][100/11272] Time 0.872 (0.825) Data 0.002 (0.021) Loss 2.6298 (2.5743) Prec@1 35.000 (37.488) Prec@5 68.125 (68.094) Epoch: [23][110/11272] Time 0.770 (0.823) Data 0.002 (0.019) Loss 2.5077 (2.5744) Prec@1 32.500 (37.410) Prec@5 68.125 (68.069) Epoch: [23][120/11272] Time 0.874 (0.823) Data 0.002 (0.018) Loss 2.5796 (2.5771) Prec@1 36.875 (37.293) Prec@5 70.000 (68.017) Epoch: [23][130/11272] Time 0.856 (0.822) Data 0.002 (0.016) Loss 2.5017 (2.5727) Prec@1 37.500 (37.419) Prec@5 68.750 (68.073) Epoch: [23][140/11272] Time 0.756 (0.820) Data 0.001 (0.015) Loss 2.9075 (2.5852) Prec@1 29.375 (37.225) Prec@5 62.500 (67.766) Epoch: [23][150/11272] Time 0.769 (0.820) Data 0.001 (0.014) Loss 2.6522 (2.5838) Prec@1 30.625 (37.223) Prec@5 66.250 (67.794) Epoch: [23][160/11272] Time 0.860 (0.821) Data 0.002 (0.014) Loss 2.6999 (2.5876) Prec@1 35.000 (37.248) Prec@5 66.875 (67.752) Epoch: [23][170/11272] Time 0.884 (0.820) Data 0.001 (0.013) Loss 2.4903 (2.5916) Prec@1 37.500 (37.156) Prec@5 68.750 (67.690) Epoch: [23][180/11272] Time 0.733 (0.818) Data 0.001 (0.012) Loss 2.3314 (2.5948) Prec@1 41.250 (37.082) Prec@5 74.375 (67.724) Epoch: [23][190/11272] Time 0.777 (0.818) Data 0.001 (0.012) Loss 2.4771 (2.5974) Prec@1 41.250 (37.084) Prec@5 70.000 (67.647) Epoch: [23][200/11272] Time 0.880 (0.818) Data 0.002 (0.011) Loss 2.5957 (2.5972) Prec@1 33.750 (37.118) Prec@5 67.500 (67.565) Epoch: [23][210/11272] Time 0.881 (0.817) Data 0.001 (0.011) Loss 2.6635 (2.5974) Prec@1 38.750 (37.097) Prec@5 67.500 (67.633) Epoch: [23][220/11272] Time 0.754 (0.817) Data 0.002 (0.010) Loss 2.8427 (2.6008) Prec@1 31.875 (36.968) Prec@5 62.500 (67.616) Epoch: [23][230/11272] Time 0.754 (0.817) Data 0.001 (0.010) Loss 2.6007 (2.6021) Prec@1 31.875 (36.929) Prec@5 68.750 (67.606) Epoch: [23][240/11272] Time 0.882 (0.817) Data 0.002 (0.010) Loss 2.2636 (2.6019) Prec@1 43.125 (36.904) Prec@5 73.125 (67.591) Epoch: [23][250/11272] Time 0.849 (0.817) Data 0.002 (0.009) Loss 2.7732 (2.6038) Prec@1 32.500 (36.825) Prec@5 64.375 (67.597) Epoch: [23][260/11272] Time 0.734 (0.816) Data 0.001 (0.009) Loss 2.6752 (2.6013) Prec@1 39.375 (36.887) Prec@5 70.625 (67.620) Epoch: [23][270/11272] Time 0.930 (0.816) Data 0.002 (0.009) Loss 2.4204 (2.6016) Prec@1 35.625 (36.893) Prec@5 70.000 (67.592) Epoch: [23][280/11272] Time 0.873 (0.816) Data 0.002 (0.008) Loss 2.6258 (2.6000) Prec@1 38.125 (36.940) Prec@5 65.000 (67.640) Epoch: [23][290/11272] Time 0.721 (0.815) Data 0.001 (0.008) Loss 2.5266 (2.5982) Prec@1 41.250 (37.047) Prec@5 71.250 (67.668) Epoch: [23][300/11272] Time 0.707 (0.815) Data 0.001 (0.008) Loss 2.3411 (2.5971) Prec@1 45.000 (37.097) Prec@5 67.500 (67.670) Epoch: [23][310/11272] Time 0.868 (0.815) Data 0.001 (0.008) Loss 2.6904 (2.5965) Prec@1 36.875 (37.120) Prec@5 69.375 (67.699) Epoch: [23][320/11272] Time 0.898 (0.815) Data 0.002 (0.008) Loss 2.3419 (2.5971) Prec@1 43.125 (37.128) Prec@5 71.250 (67.689) Epoch: [23][330/11272] Time 0.732 (0.815) Data 0.001 (0.007) Loss 2.8563 (2.5977) Prec@1 32.500 (37.130) Prec@5 64.375 (67.700) Epoch: [23][340/11272] Time 0.726 (0.814) Data 0.001 (0.007) Loss 2.6706 (2.5990) Prec@1 39.375 (37.122) Prec@5 63.125 (67.661) Epoch: [23][350/11272] Time 0.863 (0.814) Data 0.001 (0.007) Loss 2.5269 (2.5978) Prec@1 35.625 (37.099) Prec@5 67.500 (67.676) Epoch: [23][360/11272] Time 0.876 (0.815) Data 0.002 (0.007) Loss 2.7597 (2.5978) Prec@1 38.125 (37.062) Prec@5 62.500 (67.644) Epoch: [23][370/11272] Time 0.738 (0.814) Data 0.002 (0.007) Loss 2.5860 (2.5972) Prec@1 35.000 (37.038) Prec@5 68.125 (67.711) Epoch: [23][380/11272] Time 0.756 (0.814) Data 0.002 (0.007) Loss 2.5339 (2.5975) Prec@1 36.250 (37.069) Prec@5 69.375 (67.744) Epoch: [23][390/11272] Time 0.853 (0.814) Data 0.002 (0.007) Loss 2.8769 (2.5965) Prec@1 26.875 (37.076) Prec@5 56.875 (67.767) Epoch: [23][400/11272] Time 0.745 (0.814) Data 0.001 (0.006) Loss 2.6798 (2.5968) Prec@1 36.250 (37.073) Prec@5 65.625 (67.768) Epoch: [23][410/11272] Time 0.762 (0.814) Data 0.001 (0.006) Loss 2.6335 (2.5976) Prec@1 36.875 (37.061) Prec@5 68.125 (67.781) Epoch: [23][420/11272] Time 0.860 (0.814) Data 0.002 (0.006) Loss 2.5109 (2.5968) Prec@1 32.500 (37.055) Prec@5 68.125 (67.800) Epoch: [23][430/11272] Time 0.852 (0.814) Data 0.001 (0.006) Loss 2.4287 (2.5963) Prec@1 45.000 (37.106) Prec@5 70.000 (67.793) Epoch: [23][440/11272] Time 0.729 (0.814) Data 0.002 (0.006) Loss 2.5631 (2.5957) Prec@1 36.875 (37.116) Prec@5 66.875 (67.812) Epoch: [23][450/11272] Time 0.758 (0.814) Data 0.001 (0.006) Loss 2.6887 (2.5967) Prec@1 37.500 (37.076) Prec@5 64.375 (67.784) Epoch: [23][460/11272] Time 0.852 (0.814) Data 0.002 (0.006) Loss 2.4640 (2.5953) Prec@1 40.000 (37.093) Prec@5 67.500 (67.798) Epoch: [23][470/11272] Time 0.875 (0.814) Data 0.002 (0.006) Loss 2.4606 (2.5949) Prec@1 41.875 (37.102) Prec@5 68.750 (67.811) Epoch: [23][480/11272] Time 0.734 (0.813) Data 0.001 (0.006) Loss 2.5131 (2.5956) Prec@1 39.375 (37.053) Prec@5 68.750 (67.803) Epoch: [23][490/11272] Time 0.757 (0.814) Data 0.002 (0.006) Loss 2.5116 (2.5950) Prec@1 43.750 (37.104) Prec@5 66.250 (67.817) Epoch: [23][500/11272] Time 0.887 (0.814) Data 0.002 (0.005) Loss 2.6624 (2.5949) Prec@1 34.375 (37.068) Prec@5 68.125 (67.816) Epoch: [23][510/11272] Time 0.855 (0.814) Data 0.002 (0.005) Loss 2.4591 (2.5939) Prec@1 35.625 (37.076) Prec@5 69.375 (67.828) Epoch: [23][520/11272] Time 0.729 (0.814) Data 0.001 (0.005) Loss 2.2713 (2.5941) Prec@1 41.250 (37.062) Prec@5 73.125 (67.814) Epoch: [23][530/11272] Time 0.845 (0.814) Data 0.002 (0.005) Loss 2.7726 (2.5957) Prec@1 31.250 (37.007) Prec@5 61.875 (67.775) Epoch: [23][540/11272] Time 0.854 (0.813) Data 0.001 (0.005) Loss 2.8229 (2.5969) Prec@1 29.375 (36.951) Prec@5 63.750 (67.728) Epoch: [23][550/11272] Time 0.701 (0.813) Data 0.001 (0.005) Loss 2.6464 (2.5940) Prec@1 35.000 (37.008) Prec@5 66.250 (67.787) Epoch: [23][560/11272] Time 0.730 (0.813) Data 0.001 (0.005) Loss 2.2894 (2.5940) Prec@1 38.125 (36.982) Prec@5 80.000 (67.806) Epoch: [23][570/11272] Time 0.856 (0.812) Data 0.002 (0.005) Loss 2.6594 (2.5957) Prec@1 31.875 (36.956) Prec@5 66.250 (67.756) Epoch: [23][580/11272] Time 0.892 (0.812) Data 0.002 (0.005) Loss 2.8057 (2.5960) Prec@1 32.500 (36.960) Prec@5 63.750 (67.739) Epoch: [23][590/11272] Time 0.759 (0.812) Data 0.002 (0.005) Loss 2.4401 (2.5970) Prec@1 40.625 (36.957) Prec@5 71.250 (67.744) Epoch: [23][600/11272] Time 0.736 (0.812) Data 0.001 (0.005) Loss 3.0121 (2.5970) Prec@1 30.000 (36.946) Prec@5 61.250 (67.758) Epoch: [23][610/11272] Time 0.870 (0.813) Data 0.001 (0.005) Loss 2.3715 (2.5974) Prec@1 40.625 (36.932) Prec@5 73.125 (67.754) Epoch: [23][620/11272] Time 0.830 (0.812) Data 0.001 (0.005) Loss 2.5859 (2.5967) Prec@1 37.500 (36.944) Prec@5 66.250 (67.771) Epoch: [23][630/11272] Time 0.740 (0.812) Data 0.002 (0.005) Loss 2.2186 (2.5951) Prec@1 43.125 (36.955) Prec@5 78.750 (67.804) Epoch: [23][640/11272] Time 0.734 (0.812) Data 0.001 (0.005) Loss 2.6381 (2.5957) Prec@1 36.250 (36.933) Prec@5 68.750 (67.793) Epoch: [23][650/11272] Time 0.848 (0.812) Data 0.002 (0.005) Loss 2.7531 (2.5961) Prec@1 29.375 (36.929) Prec@5 66.875 (67.802) Epoch: [23][660/11272] Time 0.736 (0.812) Data 0.003 (0.005) Loss 2.5003 (2.5954) Prec@1 41.875 (36.932) Prec@5 66.875 (67.818) Epoch: [23][670/11272] Time 0.729 (0.812) Data 0.001 (0.004) Loss 2.3596 (2.5952) Prec@1 39.375 (36.924) Prec@5 74.375 (67.823) Epoch: [23][680/11272] Time 0.827 (0.811) Data 0.001 (0.004) Loss 2.7248 (2.5941) Prec@1 34.375 (36.949) Prec@5 68.750 (67.840) Epoch: [23][690/11272] Time 0.858 (0.811) Data 0.002 (0.004) Loss 2.4378 (2.5939) Prec@1 36.875 (36.942) Prec@5 71.875 (67.836) Epoch: [23][700/11272] Time 0.729 (0.811) Data 0.001 (0.004) Loss 2.4566 (2.5940) Prec@1 41.875 (36.939) Prec@5 65.625 (67.827) Epoch: [23][710/11272] Time 0.728 (0.811) Data 0.001 (0.004) Loss 2.5389 (2.5940) Prec@1 35.000 (36.946) Prec@5 71.875 (67.817) Epoch: [23][720/11272] Time 0.916 (0.811) Data 0.002 (0.004) Loss 2.3453 (2.5931) Prec@1 40.625 (36.963) Prec@5 71.250 (67.832) Epoch: [23][730/11272] Time 0.888 (0.811) Data 0.002 (0.004) Loss 2.5387 (2.5926) Prec@1 41.875 (36.952) Prec@5 65.625 (67.822) Epoch: [23][740/11272] Time 0.770 (0.811) Data 0.001 (0.004) Loss 2.4712 (2.5921) Prec@1 38.125 (36.967) Prec@5 73.750 (67.842) Epoch: [23][750/11272] Time 0.734 (0.811) Data 0.002 (0.004) Loss 2.8183 (2.5923) Prec@1 33.750 (36.968) Prec@5 63.750 (67.832) Epoch: [23][760/11272] Time 0.863 (0.811) Data 0.002 (0.004) Loss 2.6050 (2.5923) Prec@1 35.625 (36.969) Prec@5 64.375 (67.830) Epoch: [23][770/11272] Time 0.858 (0.811) Data 0.002 (0.004) Loss 2.5597 (2.5928) Prec@1 37.500 (36.969) Prec@5 68.750 (67.793) Epoch: [23][780/11272] Time 0.760 (0.811) Data 0.001 (0.004) Loss 2.7395 (2.5933) Prec@1 30.625 (36.972) Prec@5 66.250 (67.788) Epoch: [23][790/11272] Time 0.827 (0.811) Data 0.001 (0.004) Loss 2.4625 (2.5929) Prec@1 38.750 (36.997) Prec@5 72.500 (67.800) Epoch: [23][800/11272] Time 0.828 (0.811) Data 0.002 (0.004) Loss 2.5548 (2.5924) Prec@1 38.125 (37.019) Prec@5 64.375 (67.802) Epoch: [23][810/11272] Time 0.726 (0.811) Data 0.002 (0.004) Loss 2.7227 (2.5922) Prec@1 30.000 (37.016) Prec@5 63.750 (67.815) Epoch: [23][820/11272] Time 0.740 (0.811) Data 0.001 (0.004) Loss 2.7446 (2.5933) Prec@1 34.375 (37.016) Prec@5 65.625 (67.797) Epoch: [23][830/11272] Time 0.875 (0.811) Data 0.002 (0.004) Loss 2.6367 (2.5937) Prec@1 33.125 (37.014) Prec@5 65.000 (67.779) Epoch: [23][840/11272] Time 0.910 (0.811) Data 0.002 (0.004) Loss 2.8285 (2.5930) Prec@1 35.000 (37.032) Prec@5 64.375 (67.785) Epoch: [23][850/11272] Time 0.737 (0.810) Data 0.002 (0.004) Loss 2.3148 (2.5927) Prec@1 43.125 (37.051) Prec@5 74.375 (67.796) Epoch: [23][860/11272] Time 0.757 (0.810) Data 0.002 (0.004) Loss 2.7129 (2.5932) Prec@1 35.000 (37.048) Prec@5 65.625 (67.785) Epoch: [23][870/11272] Time 0.981 (0.810) Data 0.002 (0.004) Loss 2.3907 (2.5927) Prec@1 38.750 (37.066) Prec@5 72.500 (67.800) Epoch: [23][880/11272] Time 0.819 (0.810) Data 0.001 (0.004) Loss 2.7581 (2.5924) Prec@1 31.875 (37.076) Prec@5 66.875 (67.804) Epoch: [23][890/11272] Time 0.698 (0.810) Data 0.001 (0.004) Loss 2.6575 (2.5924) Prec@1 32.500 (37.078) Prec@5 68.750 (67.807) Epoch: [23][900/11272] Time 0.777 (0.810) Data 0.002 (0.004) Loss 2.3498 (2.5932) Prec@1 39.375 (37.068) Prec@5 72.500 (67.800) Epoch: [23][910/11272] Time 0.866 (0.810) Data 0.002 (0.004) Loss 2.6840 (2.5932) Prec@1 39.375 (37.073) Prec@5 68.125 (67.787) Epoch: [23][920/11272] Time 0.769 (0.810) Data 0.003 (0.004) Loss 2.6267 (2.5932) Prec@1 38.750 (37.065) Prec@5 65.000 (67.765) Epoch: [23][930/11272] Time 0.755 (0.810) Data 0.001 (0.004) Loss 2.6651 (2.5931) Prec@1 28.750 (37.078) Prec@5 60.625 (67.757) Epoch: [23][940/11272] Time 0.886 (0.810) Data 0.002 (0.004) Loss 2.7296 (2.5931) Prec@1 36.250 (37.080) Prec@5 66.250 (67.749) Epoch: [23][950/11272] Time 0.867 (0.810) Data 0.002 (0.004) Loss 2.7834 (2.5929) Prec@1 30.625 (37.085) Prec@5 66.875 (67.770) Epoch: [23][960/11272] Time 0.739 (0.810) Data 0.001 (0.004) Loss 2.5205 (2.5932) Prec@1 40.625 (37.079) Prec@5 69.375 (67.767) Epoch: [23][970/11272] Time 0.729 (0.810) Data 0.001 (0.004) Loss 2.6412 (2.5934) Prec@1 34.375 (37.079) Prec@5 63.125 (67.743) Epoch: [23][980/11272] Time 0.882 (0.810) Data 0.002 (0.004) Loss 2.4533 (2.5930) Prec@1 41.250 (37.069) Prec@5 68.125 (67.757) Epoch: [23][990/11272] Time 0.883 (0.810) Data 0.002 (0.004) Loss 2.6195 (2.5928) Prec@1 35.000 (37.091) Prec@5 65.625 (67.756) Epoch: [23][1000/11272] Time 0.783 (0.810) Data 0.002 (0.004) Loss 2.4498 (2.5932) Prec@1 41.875 (37.092) Prec@5 70.625 (67.739) Epoch: [23][1010/11272] Time 0.751 (0.810) Data 0.002 (0.004) Loss 2.6066 (2.5932) Prec@1 37.500 (37.085) Prec@5 67.500 (67.727) Epoch: [23][1020/11272] Time 0.939 (0.810) Data 0.002 (0.004) Loss 2.4950 (2.5931) Prec@1 38.125 (37.083) Prec@5 73.125 (67.729) Epoch: [23][1030/11272] Time 0.884 (0.810) Data 0.002 (0.003) Loss 2.4160 (2.5925) Prec@1 41.250 (37.090) Prec@5 72.500 (67.740) Epoch: [23][1040/11272] Time 0.740 (0.810) Data 0.001 (0.003) Loss 2.5312 (2.5929) Prec@1 38.750 (37.083) Prec@5 66.250 (67.725) Epoch: [23][1050/11272] Time 0.825 (0.810) Data 0.001 (0.003) Loss 2.7271 (2.5928) Prec@1 32.500 (37.088) Prec@5 60.625 (67.734) Epoch: [23][1060/11272] Time 0.861 (0.810) Data 0.002 (0.003) Loss 2.6979 (2.5926) Prec@1 37.500 (37.090) Prec@5 63.750 (67.749) Epoch: [23][1070/11272] Time 0.777 (0.810) Data 0.001 (0.003) Loss 2.7095 (2.5940) Prec@1 38.750 (37.068) Prec@5 68.125 (67.720) Epoch: [23][1080/11272] Time 0.715 (0.810) Data 0.002 (0.003) Loss 2.4257 (2.5937) Prec@1 42.500 (37.081) Prec@5 69.375 (67.727) Epoch: [23][1090/11272] Time 0.847 (0.810) Data 0.002 (0.003) Loss 2.4080 (2.5938) Prec@1 32.500 (37.090) Prec@5 69.375 (67.713) Epoch: [23][1100/11272] Time 0.850 (0.810) Data 0.002 (0.003) Loss 2.5531 (2.5941) Prec@1 37.500 (37.085) Prec@5 69.375 (67.707) Epoch: [23][1110/11272] Time 0.728 (0.810) Data 0.001 (0.003) Loss 2.3775 (2.5934) Prec@1 42.500 (37.098) Prec@5 74.375 (67.732) Epoch: [23][1120/11272] Time 0.732 (0.810) Data 0.001 (0.003) Loss 2.4483 (2.5933) Prec@1 39.375 (37.097) Prec@5 71.250 (67.733) Epoch: [23][1130/11272] Time 0.854 (0.810) Data 0.001 (0.003) Loss 2.4124 (2.5925) Prec@1 44.375 (37.103) Prec@5 68.750 (67.749) Epoch: [23][1140/11272] Time 0.854 (0.810) Data 0.002 (0.003) Loss 2.7309 (2.5926) Prec@1 32.500 (37.094) Prec@5 69.375 (67.745) Epoch: [23][1150/11272] Time 0.770 (0.810) Data 0.002 (0.003) Loss 2.6373 (2.5927) Prec@1 35.625 (37.078) Prec@5 67.500 (67.747) Epoch: [23][1160/11272] Time 0.728 (0.809) Data 0.001 (0.003) Loss 2.7292 (2.5937) Prec@1 36.250 (37.061) Prec@5 64.375 (67.731) Epoch: [23][1170/11272] Time 0.859 (0.809) Data 0.002 (0.003) Loss 2.8427 (2.5941) Prec@1 31.250 (37.041) Prec@5 61.250 (67.731) Epoch: [23][1180/11272] Time 0.871 (0.810) Data 0.002 (0.003) Loss 2.6062 (2.5943) Prec@1 39.375 (37.039) Prec@5 66.875 (67.736) Epoch: [23][1190/11272] Time 0.737 (0.810) Data 0.001 (0.003) Loss 2.7321 (2.5945) Prec@1 35.625 (37.044) Prec@5 70.000 (67.735) Epoch: [23][1200/11272] Time 0.895 (0.810) Data 0.002 (0.003) Loss 2.6633 (2.5948) Prec@1 34.375 (37.033) Prec@5 65.000 (67.722) Epoch: [23][1210/11272] Time 0.869 (0.810) Data 0.002 (0.003) Loss 2.4575 (2.5947) Prec@1 39.375 (37.023) Prec@5 69.375 (67.712) Epoch: [23][1220/11272] Time 0.728 (0.809) Data 0.001 (0.003) Loss 2.5183 (2.5948) Prec@1 37.500 (37.027) Prec@5 72.500 (67.708) Epoch: [23][1230/11272] Time 0.741 (0.809) Data 0.001 (0.003) Loss 2.7577 (2.5951) Prec@1 36.875 (37.032) Prec@5 63.750 (67.704) Epoch: [23][1240/11272] Time 0.866 (0.809) Data 0.002 (0.003) Loss 2.6311 (2.5949) Prec@1 35.000 (37.035) Prec@5 69.375 (67.714) Epoch: [23][1250/11272] Time 0.858 (0.809) Data 0.002 (0.003) Loss 2.6712 (2.5951) Prec@1 33.125 (37.019) Prec@5 65.625 (67.704) Epoch: [23][1260/11272] Time 0.739 (0.810) Data 0.001 (0.003) Loss 2.4677 (2.5956) Prec@1 40.625 (37.021) Prec@5 72.500 (67.701) Epoch: [23][1270/11272] Time 0.758 (0.810) Data 0.001 (0.003) Loss 2.4575 (2.5963) Prec@1 37.500 (37.016) Prec@5 70.625 (67.686) Epoch: [23][1280/11272] Time 0.855 (0.810) Data 0.002 (0.003) Loss 2.6497 (2.5954) Prec@1 35.625 (37.036) Prec@5 66.875 (67.702) Epoch: [23][1290/11272] Time 0.861 (0.810) Data 0.002 (0.003) Loss 2.6686 (2.5955) Prec@1 35.000 (37.038) Prec@5 64.375 (67.701) Epoch: [23][1300/11272] Time 0.723 (0.809) Data 0.001 (0.003) Loss 2.8503 (2.5962) Prec@1 33.125 (37.033) Prec@5 63.125 (67.683) Epoch: [23][1310/11272] Time 0.725 (0.809) Data 0.001 (0.003) Loss 2.5595 (2.5957) Prec@1 31.875 (37.024) Prec@5 73.125 (67.696) Epoch: [23][1320/11272] Time 0.869 (0.809) Data 0.002 (0.003) Loss 2.8998 (2.5956) Prec@1 30.625 (37.017) Prec@5 61.875 (67.697) Epoch: [23][1330/11272] Time 0.791 (0.809) Data 0.001 (0.003) Loss 2.4437 (2.5957) Prec@1 39.375 (37.017) Prec@5 71.875 (67.696) Epoch: [23][1340/11272] Time 0.732 (0.809) Data 0.001 (0.003) Loss 2.5716 (2.5954) Prec@1 34.375 (37.030) Prec@5 71.250 (67.706) Epoch: [23][1350/11272] Time 0.910 (0.809) Data 0.002 (0.003) Loss 2.7151 (2.5956) Prec@1 35.000 (37.030) Prec@5 65.625 (67.704) Epoch: [23][1360/11272] Time 0.865 (0.809) Data 0.002 (0.003) Loss 2.6590 (2.5964) Prec@1 40.000 (37.008) Prec@5 66.875 (67.686) Epoch: [23][1370/11272] Time 0.764 (0.809) Data 0.002 (0.003) Loss 2.5519 (2.5964) Prec@1 38.125 (37.015) Prec@5 71.250 (67.698) Epoch: [23][1380/11272] Time 0.731 (0.810) Data 0.001 (0.003) Loss 2.6340 (2.5964) Prec@1 38.125 (37.013) Prec@5 69.375 (67.699) Epoch: [23][1390/11272] Time 0.875 (0.809) Data 0.002 (0.003) Loss 2.5735 (2.5963) Prec@1 34.375 (37.018) Prec@5 66.250 (67.700) Epoch: [23][1400/11272] Time 0.905 (0.809) Data 0.002 (0.003) Loss 2.7625 (2.5964) Prec@1 33.125 (37.030) Prec@5 63.750 (67.698) Epoch: [23][1410/11272] Time 0.737 (0.809) Data 0.001 (0.003) Loss 2.7723 (2.5963) Prec@1 33.750 (37.034) Prec@5 63.125 (67.697) Epoch: [23][1420/11272] Time 0.746 (0.809) Data 0.002 (0.003) Loss 2.3091 (2.5960) Prec@1 46.250 (37.040) Prec@5 73.750 (67.709) Epoch: [23][1430/11272] Time 0.836 (0.809) Data 0.002 (0.003) Loss 2.5538 (2.5960) Prec@1 36.250 (37.034) Prec@5 72.500 (67.720) Epoch: [23][1440/11272] Time 0.853 (0.809) Data 0.002 (0.003) Loss 2.6937 (2.5958) Prec@1 31.250 (37.035) Prec@5 63.750 (67.712) Epoch: [23][1450/11272] Time 0.729 (0.809) Data 0.001 (0.003) Loss 2.4829 (2.5962) Prec@1 35.625 (37.018) Prec@5 66.875 (67.707) Epoch: [23][1460/11272] Time 0.876 (0.809) Data 0.001 (0.003) Loss 2.5503 (2.5967) Prec@1 38.125 (37.013) Prec@5 69.375 (67.704) Epoch: [23][1470/11272] Time 0.831 (0.809) Data 0.001 (0.003) Loss 2.6065 (2.5964) Prec@1 38.125 (37.026) Prec@5 68.125 (67.703) Epoch: [23][1480/11272] Time 0.775 (0.809) Data 0.002 (0.003) Loss 2.4323 (2.5966) Prec@1 38.750 (37.029) Prec@5 75.625 (67.704) Epoch: [23][1490/11272] Time 0.782 (0.809) Data 0.002 (0.003) Loss 2.5460 (2.5968) Prec@1 36.875 (37.028) Prec@5 70.625 (67.708) Epoch: [23][1500/11272] Time 0.884 (0.809) Data 0.002 (0.003) Loss 2.6904 (2.5968) Prec@1 35.625 (37.027) Prec@5 66.250 (67.699) Epoch: [23][1510/11272] Time 0.864 (0.809) Data 0.002 (0.003) Loss 2.7965 (2.5965) Prec@1 32.500 (37.031) Prec@5 59.375 (67.700) Epoch: [23][1520/11272] Time 0.741 (0.809) Data 0.001 (0.003) Loss 2.3371 (2.5963) Prec@1 41.875 (37.037) Prec@5 73.125 (67.706) Epoch: [23][1530/11272] Time 0.726 (0.809) Data 0.001 (0.003) Loss 2.7316 (2.5961) Prec@1 38.750 (37.046) Prec@5 64.375 (67.716) Epoch: [23][1540/11272] Time 0.857 (0.809) Data 0.001 (0.003) Loss 2.3800 (2.5962) Prec@1 36.250 (37.044) Prec@5 72.500 (67.707) Epoch: [23][1550/11272] Time 0.875 (0.809) Data 0.002 (0.003) Loss 2.4775 (2.5964) Prec@1 40.625 (37.044) Prec@5 71.875 (67.703) Epoch: [23][1560/11272] Time 0.772 (0.809) Data 0.002 (0.003) Loss 2.4818 (2.5958) Prec@1 42.500 (37.054) Prec@5 69.375 (67.716) Epoch: [23][1570/11272] Time 0.736 (0.809) Data 0.001 (0.003) Loss 3.2439 (2.5963) Prec@1 26.875 (37.044) Prec@5 60.625 (67.706) Epoch: [23][1580/11272] Time 0.861 (0.809) Data 0.002 (0.003) Loss 2.7736 (2.5960) Prec@1 31.250 (37.047) Prec@5 67.500 (67.711) Epoch: [23][1590/11272] Time 0.772 (0.809) Data 0.004 (0.003) Loss 2.5231 (2.5960) Prec@1 36.250 (37.042) Prec@5 69.375 (67.710) Epoch: [23][1600/11272] Time 0.744 (0.809) Data 0.001 (0.003) Loss 2.6471 (2.5965) Prec@1 36.250 (37.027) Prec@5 70.625 (67.702) Epoch: [23][1610/11272] Time 0.847 (0.809) Data 0.001 (0.003) Loss 2.5149 (2.5960) Prec@1 35.000 (37.033) Prec@5 67.500 (67.716) Epoch: [23][1620/11272] Time 0.880 (0.809) Data 0.002 (0.003) Loss 2.7732 (2.5963) Prec@1 40.000 (37.033) Prec@5 65.625 (67.710) Epoch: [23][1630/11272] Time 0.761 (0.809) Data 0.001 (0.003) Loss 2.7423 (2.5961) Prec@1 32.500 (37.033) Prec@5 66.250 (67.716) Epoch: [23][1640/11272] Time 0.726 (0.809) Data 0.001 (0.003) Loss 2.8017 (2.5959) Prec@1 36.875 (37.038) Prec@5 62.500 (67.722) Epoch: [23][1650/11272] Time 0.864 (0.809) Data 0.002 (0.003) Loss 2.8480 (2.5957) Prec@1 32.500 (37.045) Prec@5 60.625 (67.721) Epoch: [23][1660/11272] Time 0.854 (0.809) Data 0.001 (0.003) Loss 2.5403 (2.5961) Prec@1 40.625 (37.038) Prec@5 71.250 (67.722) Epoch: [23][1670/11272] Time 0.724 (0.809) Data 0.001 (0.003) Loss 2.6548 (2.5960) Prec@1 36.250 (37.043) Prec@5 67.500 (67.718) Epoch: [23][1680/11272] Time 0.733 (0.809) Data 0.001 (0.003) Loss 2.7198 (2.5961) Prec@1 35.000 (37.045) Prec@5 69.375 (67.721) Epoch: [23][1690/11272] Time 0.889 (0.809) Data 0.002 (0.003) Loss 2.6831 (2.5957) Prec@1 41.250 (37.048) Prec@5 62.500 (67.730) Epoch: [23][1700/11272] Time 0.871 (0.809) Data 0.001 (0.003) Loss 2.5611 (2.5956) Prec@1 37.500 (37.054) Prec@5 68.750 (67.733) Epoch: [23][1710/11272] Time 0.741 (0.809) Data 0.002 (0.003) Loss 2.5067 (2.5956) Prec@1 37.500 (37.051) Prec@5 69.375 (67.733) Epoch: [23][1720/11272] Time 0.911 (0.809) Data 0.001 (0.003) Loss 2.6850 (2.5952) Prec@1 37.500 (37.053) Prec@5 61.875 (67.736) Epoch: [23][1730/11272] Time 0.857 (0.809) Data 0.002 (0.003) Loss 2.6311 (2.5948) Prec@1 35.000 (37.056) Prec@5 66.875 (67.745) Epoch: [23][1740/11272] Time 0.728 (0.809) Data 0.001 (0.003) Loss 2.7207 (2.5947) Prec@1 37.500 (37.053) Prec@5 66.875 (67.754) Epoch: [23][1750/11272] Time 0.701 (0.809) Data 0.001 (0.003) Loss 2.6500 (2.5945) Prec@1 35.625 (37.048) Prec@5 68.750 (67.761) Epoch: [23][1760/11272] Time 0.832 (0.809) Data 0.001 (0.003) Loss 2.9295 (2.5947) Prec@1 35.000 (37.040) Prec@5 60.625 (67.753) Epoch: [23][1770/11272] Time 0.880 (0.809) Data 0.002 (0.003) Loss 2.7464 (2.5949) Prec@1 31.875 (37.026) Prec@5 64.375 (67.749) Epoch: [23][1780/11272] Time 0.747 (0.809) Data 0.001 (0.003) Loss 2.4317 (2.5950) Prec@1 38.750 (37.027) Prec@5 69.375 (67.752) Epoch: [23][1790/11272] Time 0.760 (0.809) Data 0.002 (0.003) Loss 2.2769 (2.5949) Prec@1 43.125 (37.023) Prec@5 71.250 (67.753) Epoch: [23][1800/11272] Time 0.845 (0.809) Data 0.001 (0.003) Loss 2.7469 (2.5949) Prec@1 36.250 (37.029) Prec@5 68.750 (67.760) Epoch: [23][1810/11272] Time 0.918 (0.809) Data 0.002 (0.003) Loss 2.6569 (2.5951) Prec@1 34.375 (37.023) Prec@5 70.000 (67.760) Epoch: [23][1820/11272] Time 0.746 (0.809) Data 0.001 (0.003) Loss 2.7597 (2.5952) Prec@1 40.625 (37.030) Prec@5 66.250 (67.759) Epoch: [23][1830/11272] Time 0.742 (0.809) Data 0.002 (0.003) Loss 2.8785 (2.5953) Prec@1 32.500 (37.031) Prec@5 60.625 (67.755) Epoch: [23][1840/11272] Time 0.866 (0.809) Data 0.002 (0.003) Loss 2.7649 (2.5951) Prec@1 33.125 (37.035) Prec@5 60.000 (67.751) Epoch: [23][1850/11272] Time 0.731 (0.809) Data 0.003 (0.003) Loss 2.6799 (2.5950) Prec@1 36.250 (37.040) Prec@5 66.250 (67.750) Epoch: [23][1860/11272] Time 0.741 (0.809) Data 0.001 (0.003) Loss 2.6735 (2.5952) Prec@1 31.875 (37.027) Prec@5 70.625 (67.757) Epoch: [23][1870/11272] Time 0.864 (0.809) Data 0.002 (0.003) Loss 2.6467 (2.5951) Prec@1 34.375 (37.025) Prec@5 69.375 (67.753) Epoch: [23][1880/11272] Time 0.870 (0.809) Data 0.002 (0.003) Loss 2.6296 (2.5949) Prec@1 40.000 (37.030) Prec@5 68.125 (67.757) Epoch: [23][1890/11272] Time 0.734 (0.809) Data 0.001 (0.003) Loss 2.4790 (2.5949) Prec@1 40.625 (37.024) Prec@5 70.000 (67.755) Epoch: [23][1900/11272] Time 0.712 (0.809) Data 0.001 (0.003) Loss 2.6880 (2.5947) Prec@1 32.500 (37.019) Prec@5 62.500 (67.760) Epoch: [23][1910/11272] Time 0.885 (0.809) Data 0.003 (0.003) Loss 2.6984 (2.5951) Prec@1 31.875 (37.017) Prec@5 65.625 (67.753) Epoch: [23][1920/11272] Time 0.889 (0.809) Data 0.002 (0.003) Loss 2.3997 (2.5949) Prec@1 40.000 (37.023) Prec@5 73.125 (67.761) Epoch: [23][1930/11272] Time 0.741 (0.809) Data 0.001 (0.003) Loss 2.6858 (2.5950) Prec@1 32.500 (37.017) Prec@5 66.875 (67.759) Epoch: [23][1940/11272] Time 0.732 (0.809) Data 0.001 (0.003) Loss 2.3491 (2.5944) Prec@1 43.125 (37.029) Prec@5 74.375 (67.771) Epoch: [23][1950/11272] Time 0.860 (0.809) Data 0.002 (0.003) Loss 2.6439 (2.5948) Prec@1 35.625 (37.025) Prec@5 67.500 (67.763) Epoch: [23][1960/11272] Time 0.835 (0.809) Data 0.001 (0.003) Loss 2.6841 (2.5953) Prec@1 36.250 (37.008) Prec@5 61.250 (67.745) Epoch: [23][1970/11272] Time 0.726 (0.809) Data 0.001 (0.003) Loss 2.6384 (2.5954) Prec@1 35.625 (37.004) Prec@5 65.000 (67.748) Epoch: [23][1980/11272] Time 0.843 (0.809) Data 0.001 (0.003) Loss 2.5193 (2.5952) Prec@1 42.500 (37.018) Prec@5 68.125 (67.751) Epoch: [23][1990/11272] Time 0.884 (0.809) Data 0.001 (0.003) Loss 2.6909 (2.5952) Prec@1 36.875 (37.015) Prec@5 68.125 (67.754) Epoch: [23][2000/11272] Time 0.755 (0.809) Data 0.001 (0.003) Loss 2.8290 (2.5958) Prec@1 30.000 (37.005) Prec@5 59.375 (67.743) Epoch: [23][2010/11272] Time 0.798 (0.809) Data 0.001 (0.003) Loss 2.3997 (2.5957) Prec@1 39.375 (37.009) Prec@5 70.000 (67.747) Epoch: [23][2020/11272] Time 0.882 (0.809) Data 0.002 (0.003) Loss 2.6092 (2.5955) Prec@1 36.250 (37.015) Prec@5 68.750 (67.752) Epoch: [23][2030/11272] Time 0.862 (0.809) Data 0.002 (0.003) Loss 2.5812 (2.5956) Prec@1 41.250 (37.012) Prec@5 68.125 (67.752) Epoch: [23][2040/11272] Time 0.734 (0.809) Data 0.002 (0.003) Loss 2.7088 (2.5956) Prec@1 32.500 (37.011) Prec@5 64.375 (67.753) Epoch: [23][2050/11272] Time 0.744 (0.809) Data 0.001 (0.003) Loss 2.7425 (2.5957) Prec@1 30.625 (37.000) Prec@5 65.000 (67.754) Epoch: [23][2060/11272] Time 0.856 (0.809) Data 0.001 (0.003) Loss 2.7658 (2.5953) Prec@1 35.625 (37.011) Prec@5 63.125 (67.761) Epoch: [23][2070/11272] Time 0.868 (0.809) Data 0.002 (0.003) Loss 2.5800 (2.5952) Prec@1 33.125 (37.009) Prec@5 66.250 (67.762) Epoch: [23][2080/11272] Time 0.739 (0.809) Data 0.002 (0.003) Loss 2.7859 (2.5952) Prec@1 33.750 (37.003) Prec@5 58.125 (67.760) Epoch: [23][2090/11272] Time 0.768 (0.809) Data 0.002 (0.003) Loss 2.7180 (2.5953) Prec@1 35.625 (37.005) Prec@5 68.125 (67.759) Epoch: [23][2100/11272] Time 0.894 (0.809) Data 0.002 (0.003) Loss 2.7379 (2.5951) Prec@1 36.875 (37.006) Prec@5 62.500 (67.757) Epoch: [23][2110/11272] Time 0.903 (0.809) Data 0.002 (0.003) Loss 2.6480 (2.5955) Prec@1 33.125 (37.000) Prec@5 68.125 (67.745) Epoch: [23][2120/11272] Time 0.731 (0.809) Data 0.001 (0.003) Loss 2.8876 (2.5956) Prec@1 30.625 (36.998) Prec@5 59.375 (67.743) Epoch: [23][2130/11272] Time 0.848 (0.809) Data 0.002 (0.003) Loss 2.4951 (2.5955) Prec@1 35.625 (36.995) Prec@5 65.625 (67.743) Epoch: [23][2140/11272] Time 0.859 (0.809) Data 0.002 (0.003) Loss 2.5220 (2.5959) Prec@1 37.500 (36.992) Prec@5 68.750 (67.736) Epoch: [23][2150/11272] Time 0.747 (0.809) Data 0.001 (0.003) Loss 2.7818 (2.5958) Prec@1 35.000 (36.994) Prec@5 62.500 (67.739) Epoch: [23][2160/11272] Time 0.759 (0.809) Data 0.002 (0.003) Loss 2.7076 (2.5961) Prec@1 37.500 (36.991) Prec@5 65.625 (67.735) Epoch: [23][2170/11272] Time 0.849 (0.809) Data 0.002 (0.003) Loss 2.8004 (2.5961) Prec@1 35.000 (36.994) Prec@5 65.000 (67.734) Epoch: [23][2180/11272] Time 0.853 (0.809) Data 0.001 (0.003) Loss 2.5842 (2.5961) Prec@1 40.000 (36.998) Prec@5 68.125 (67.732) Epoch: [23][2190/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 2.5526 (2.5964) Prec@1 36.250 (36.985) Prec@5 70.000 (67.732) Epoch: [23][2200/11272] Time 0.761 (0.809) Data 0.001 (0.002) Loss 2.6968 (2.5967) Prec@1 39.375 (36.984) Prec@5 66.875 (67.725) Epoch: [23][2210/11272] Time 0.872 (0.809) Data 0.002 (0.002) Loss 2.7721 (2.5968) Prec@1 35.000 (36.973) Prec@5 61.250 (67.723) Epoch: [23][2220/11272] Time 0.863 (0.809) Data 0.002 (0.002) Loss 2.5385 (2.5967) Prec@1 41.250 (36.975) Prec@5 68.750 (67.724) Epoch: [23][2230/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.6159 (2.5967) Prec@1 39.375 (36.971) Prec@5 65.625 (67.728) Epoch: [23][2240/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.5866 (2.5968) Prec@1 42.500 (36.971) Prec@5 68.125 (67.724) Epoch: [23][2250/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.5344 (2.5967) Prec@1 33.750 (36.972) Prec@5 71.875 (67.726) Epoch: [23][2260/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.6605 (2.5966) Prec@1 39.375 (36.977) Prec@5 65.625 (67.727) Epoch: [23][2270/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.7158 (2.5963) Prec@1 32.500 (36.986) Prec@5 65.000 (67.736) Epoch: [23][2280/11272] Time 0.837 (0.808) Data 0.002 (0.002) Loss 2.5693 (2.5964) Prec@1 38.750 (36.981) Prec@5 68.125 (67.731) Epoch: [23][2290/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.4873 (2.5965) Prec@1 38.750 (36.980) Prec@5 65.000 (67.727) Epoch: [23][2300/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.5789 (2.5964) Prec@1 37.500 (36.991) Prec@5 66.250 (67.723) Epoch: [23][2310/11272] Time 0.703 (0.808) Data 0.001 (0.002) Loss 2.6729 (2.5968) Prec@1 35.625 (36.986) Prec@5 66.250 (67.718) Epoch: [23][2320/11272] Time 0.891 (0.808) Data 0.001 (0.002) Loss 2.6220 (2.5968) Prec@1 38.750 (36.989) Prec@5 65.625 (67.713) Epoch: [23][2330/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.6242 (2.5968) Prec@1 35.625 (36.988) Prec@5 71.250 (67.713) Epoch: [23][2340/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.5860 (2.5968) Prec@1 33.750 (36.991) Prec@5 72.500 (67.715) Epoch: [23][2350/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.5826 (2.5965) Prec@1 31.250 (36.999) Prec@5 70.000 (67.720) Epoch: [23][2360/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.5610 (2.5968) Prec@1 40.000 (36.994) Prec@5 66.250 (67.716) Epoch: [23][2370/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.7310 (2.5970) Prec@1 34.375 (36.991) Prec@5 70.625 (67.713) Epoch: [23][2380/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.6368 (2.5973) Prec@1 41.875 (36.988) Prec@5 68.125 (67.707) Epoch: [23][2390/11272] Time 0.817 (0.808) Data 0.001 (0.002) Loss 2.5551 (2.5975) Prec@1 34.375 (36.980) Prec@5 66.250 (67.705) Epoch: [23][2400/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.5375 (2.5980) Prec@1 38.750 (36.970) Prec@5 67.500 (67.695) Epoch: [23][2410/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.7894 (2.5980) Prec@1 33.750 (36.967) Prec@5 67.500 (67.698) Epoch: [23][2420/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.4852 (2.5978) Prec@1 36.875 (36.976) Prec@5 63.750 (67.701) Epoch: [23][2430/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.6107 (2.5974) Prec@1 33.750 (36.980) Prec@5 66.875 (67.711) Epoch: [23][2440/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.7138 (2.5976) Prec@1 36.875 (36.978) Prec@5 66.875 (67.707) Epoch: [23][2450/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.3420 (2.5975) Prec@1 42.500 (36.979) Prec@5 76.250 (67.717) Epoch: [23][2460/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.4185 (2.5977) Prec@1 42.500 (36.977) Prec@5 70.000 (67.709) Epoch: [23][2470/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.7122 (2.5981) Prec@1 36.875 (36.970) Prec@5 64.375 (67.697) Epoch: [23][2480/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.5222 (2.5982) Prec@1 43.125 (36.968) Prec@5 70.000 (67.695) Epoch: [23][2490/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.6807 (2.5984) Prec@1 30.625 (36.954) Prec@5 64.375 (67.693) Epoch: [23][2500/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.3279 (2.5982) Prec@1 37.500 (36.954) Prec@5 74.375 (67.695) Epoch: [23][2510/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.8087 (2.5981) Prec@1 34.375 (36.953) Prec@5 64.375 (67.696) Epoch: [23][2520/11272] Time 0.734 (0.808) Data 0.003 (0.002) Loss 2.4093 (2.5982) Prec@1 39.375 (36.944) Prec@5 69.375 (67.697) Epoch: [23][2530/11272] Time 0.748 (0.808) Data 0.004 (0.002) Loss 3.1850 (2.5984) Prec@1 24.375 (36.935) Prec@5 53.125 (67.691) Epoch: [23][2540/11272] Time 0.851 (0.808) Data 0.001 (0.002) Loss 2.8602 (2.5983) Prec@1 27.500 (36.932) Prec@5 64.375 (67.689) Epoch: [23][2550/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.7378 (2.5984) Prec@1 31.875 (36.931) Prec@5 61.875 (67.688) Epoch: [23][2560/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.0803 (2.5981) Prec@1 48.750 (36.941) Prec@5 77.500 (67.695) Epoch: [23][2570/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.7193 (2.5981) Prec@1 39.375 (36.946) Prec@5 63.125 (67.694) Epoch: [23][2580/11272] Time 0.840 (0.808) Data 0.002 (0.002) Loss 2.5110 (2.5983) Prec@1 36.250 (36.940) Prec@5 66.875 (67.688) Epoch: [23][2590/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.6316 (2.5981) Prec@1 38.750 (36.940) Prec@5 73.125 (67.696) Epoch: [23][2600/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.6679 (2.5980) Prec@1 39.375 (36.941) Prec@5 62.500 (67.699) Epoch: [23][2610/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.7132 (2.5979) Prec@1 35.625 (36.950) Prec@5 65.625 (67.701) Epoch: [23][2620/11272] Time 0.930 (0.808) Data 0.001 (0.002) Loss 2.3217 (2.5980) Prec@1 45.000 (36.955) Prec@5 73.750 (67.702) Epoch: [23][2630/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.5144 (2.5977) Prec@1 41.250 (36.961) Prec@5 71.250 (67.702) Epoch: [23][2640/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.8136 (2.5977) Prec@1 30.625 (36.964) Prec@5 63.125 (67.701) Epoch: [23][2650/11272] Time 0.822 (0.808) Data 0.001 (0.002) Loss 2.7230 (2.5975) Prec@1 32.500 (36.971) Prec@5 63.125 (67.703) Epoch: [23][2660/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.5224 (2.5972) Prec@1 36.875 (36.976) Prec@5 68.750 (67.704) Epoch: [23][2670/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.6052 (2.5970) Prec@1 31.875 (36.979) Prec@5 68.125 (67.710) Epoch: [23][2680/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.4293 (2.5972) Prec@1 36.250 (36.975) Prec@5 72.500 (67.703) Epoch: [23][2690/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.6470 (2.5973) Prec@1 35.000 (36.972) Prec@5 66.250 (67.700) Epoch: [23][2700/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.7806 (2.5972) Prec@1 33.750 (36.978) Prec@5 62.500 (67.703) Epoch: [23][2710/11272] Time 0.755 (0.808) Data 0.001 (0.002) Loss 2.3434 (2.5973) Prec@1 40.625 (36.973) Prec@5 73.125 (67.702) Epoch: [23][2720/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.5182 (2.5975) Prec@1 33.750 (36.968) Prec@5 68.750 (67.704) Epoch: [23][2730/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.5107 (2.5976) Prec@1 35.625 (36.968) Prec@5 67.500 (67.701) Epoch: [23][2740/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.6291 (2.5978) Prec@1 32.500 (36.960) Prec@5 66.250 (67.697) Epoch: [23][2750/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.5599 (2.5979) Prec@1 37.500 (36.956) Prec@5 64.375 (67.697) Epoch: [23][2760/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.7226 (2.5983) Prec@1 36.875 (36.947) Prec@5 67.500 (67.694) Epoch: [23][2770/11272] Time 0.910 (0.808) Data 0.002 (0.002) Loss 2.6004 (2.5980) Prec@1 35.000 (36.953) Prec@5 65.000 (67.696) Epoch: [23][2780/11272] Time 0.752 (0.808) Data 0.003 (0.002) Loss 2.5901 (2.5982) Prec@1 36.875 (36.946) Prec@5 66.875 (67.691) Epoch: [23][2790/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.6407 (2.5983) Prec@1 40.625 (36.941) Prec@5 66.875 (67.691) Epoch: [23][2800/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.5698 (2.5986) Prec@1 41.250 (36.933) Prec@5 68.125 (67.686) Epoch: [23][2810/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.7598 (2.5986) Prec@1 32.500 (36.930) Prec@5 62.500 (67.682) Epoch: [23][2820/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.9352 (2.5988) Prec@1 33.125 (36.925) Prec@5 58.750 (67.678) Epoch: [23][2830/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.6352 (2.5989) Prec@1 33.750 (36.917) Prec@5 68.125 (67.676) Epoch: [23][2840/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.6521 (2.5987) Prec@1 36.250 (36.919) Prec@5 68.750 (67.682) Epoch: [23][2850/11272] Time 0.900 (0.808) Data 0.002 (0.002) Loss 2.5048 (2.5985) Prec@1 35.625 (36.924) Prec@5 72.500 (67.686) Epoch: [23][2860/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.6369 (2.5986) Prec@1 36.875 (36.927) Prec@5 68.125 (67.681) Epoch: [23][2870/11272] Time 0.726 (0.808) Data 0.002 (0.002) Loss 2.5279 (2.5986) Prec@1 40.000 (36.928) Prec@5 66.875 (67.682) Epoch: [23][2880/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.5377 (2.5985) Prec@1 36.875 (36.929) Prec@5 67.500 (67.682) Epoch: [23][2890/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.3011 (2.5984) Prec@1 44.375 (36.927) Prec@5 71.875 (67.685) Epoch: [23][2900/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.5343 (2.5984) Prec@1 37.500 (36.925) Prec@5 71.250 (67.685) Epoch: [23][2910/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.6545 (2.5982) Prec@1 41.875 (36.929) Prec@5 65.000 (67.690) Epoch: [23][2920/11272] Time 0.969 (0.808) Data 0.002 (0.002) Loss 2.8170 (2.5981) Prec@1 34.375 (36.934) Prec@5 63.125 (67.692) Epoch: [23][2930/11272] Time 0.805 (0.808) Data 0.001 (0.002) Loss 2.7040 (2.5982) Prec@1 33.750 (36.927) Prec@5 66.875 (67.691) Epoch: [23][2940/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.7038 (2.5981) Prec@1 37.500 (36.928) Prec@5 64.375 (67.694) Epoch: [23][2950/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 2.7347 (2.5983) Prec@1 33.125 (36.926) Prec@5 65.625 (67.688) Epoch: [23][2960/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.5553 (2.5982) Prec@1 40.000 (36.930) Prec@5 63.750 (67.686) Epoch: [23][2970/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.4392 (2.5978) Prec@1 39.375 (36.935) Prec@5 72.500 (67.692) Epoch: [23][2980/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.5612 (2.5976) Prec@1 37.500 (36.940) Prec@5 66.250 (67.698) Epoch: [23][2990/11272] Time 0.866 (0.808) Data 0.001 (0.002) Loss 2.5805 (2.5973) Prec@1 32.500 (36.944) Prec@5 69.375 (67.704) Epoch: [23][3000/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.6932 (2.5971) Prec@1 36.250 (36.945) Prec@5 66.250 (67.709) Epoch: [23][3010/11272] Time 0.783 (0.808) Data 0.002 (0.002) Loss 2.6757 (2.5972) Prec@1 30.625 (36.935) Prec@5 66.250 (67.705) Epoch: [23][3020/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.6583 (2.5974) Prec@1 35.625 (36.934) Prec@5 66.875 (67.702) Epoch: [23][3030/11272] Time 0.820 (0.808) Data 0.001 (0.002) Loss 2.6654 (2.5974) Prec@1 35.000 (36.932) Prec@5 63.750 (67.703) Epoch: [23][3040/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.4922 (2.5972) Prec@1 36.875 (36.933) Prec@5 69.375 (67.703) Epoch: [23][3050/11272] Time 0.768 (0.808) Data 0.001 (0.002) Loss 2.4979 (2.5972) Prec@1 38.125 (36.935) Prec@5 72.500 (67.702) Epoch: [23][3060/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.5321 (2.5973) Prec@1 33.750 (36.930) Prec@5 70.000 (67.702) Epoch: [23][3070/11272] Time 0.911 (0.808) Data 0.002 (0.002) Loss 2.5407 (2.5973) Prec@1 35.625 (36.935) Prec@5 68.125 (67.704) Epoch: [23][3080/11272] Time 0.699 (0.808) Data 0.001 (0.002) Loss 2.5911 (2.5971) Prec@1 37.500 (36.937) Prec@5 65.000 (67.705) Epoch: [23][3090/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.7274 (2.5973) Prec@1 35.000 (36.935) Prec@5 65.625 (67.700) Epoch: [23][3100/11272] Time 0.821 (0.808) Data 0.002 (0.002) Loss 2.6818 (2.5974) Prec@1 38.125 (36.931) Prec@5 67.500 (67.697) Epoch: [23][3110/11272] Time 0.904 (0.808) Data 0.002 (0.002) Loss 2.6492 (2.5974) Prec@1 32.500 (36.932) Prec@5 66.250 (67.696) Epoch: [23][3120/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.5881 (2.5974) Prec@1 40.000 (36.935) Prec@5 70.000 (67.703) Epoch: [23][3130/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.6706 (2.5973) Prec@1 37.500 (36.934) Prec@5 63.750 (67.703) Epoch: [23][3140/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.6493 (2.5973) Prec@1 35.000 (36.933) Prec@5 66.875 (67.703) Epoch: [23][3150/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.4154 (2.5972) Prec@1 39.375 (36.939) Prec@5 70.000 (67.711) Epoch: [23][3160/11272] Time 0.772 (0.808) Data 0.002 (0.002) Loss 2.5188 (2.5973) Prec@1 39.375 (36.940) Prec@5 70.625 (67.709) Epoch: [23][3170/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.7196 (2.5972) Prec@1 35.000 (36.944) Prec@5 63.125 (67.710) Epoch: [23][3180/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.8642 (2.5975) Prec@1 30.000 (36.941) Prec@5 60.000 (67.706) Epoch: [23][3190/11272] Time 0.742 (0.808) Data 0.002 (0.002) Loss 2.6889 (2.5973) Prec@1 41.250 (36.952) Prec@5 65.000 (67.708) Epoch: [23][3200/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.5537 (2.5972) Prec@1 38.125 (36.953) Prec@5 63.125 (67.710) Epoch: [23][3210/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.6940 (2.5972) Prec@1 38.750 (36.954) Prec@5 63.750 (67.710) Epoch: [23][3220/11272] Time 0.900 (0.808) Data 0.002 (0.002) Loss 2.4307 (2.5969) Prec@1 38.750 (36.959) Prec@5 71.875 (67.715) Epoch: [23][3230/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.4502 (2.5970) Prec@1 37.500 (36.957) Prec@5 71.875 (67.712) Epoch: [23][3240/11272] Time 0.761 (0.808) Data 0.002 (0.002) Loss 2.5528 (2.5972) Prec@1 35.000 (36.948) Prec@5 67.500 (67.707) Epoch: [23][3250/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.3016 (2.5971) Prec@1 41.250 (36.946) Prec@5 73.125 (67.709) Epoch: [23][3260/11272] Time 0.926 (0.808) Data 0.002 (0.002) Loss 2.6645 (2.5969) Prec@1 35.625 (36.942) Prec@5 66.250 (67.712) Epoch: [23][3270/11272] Time 0.792 (0.808) Data 0.002 (0.002) Loss 2.4809 (2.5970) Prec@1 38.750 (36.941) Prec@5 71.875 (67.715) Epoch: [23][3280/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.6029 (2.5969) Prec@1 35.000 (36.941) Prec@5 65.625 (67.716) Epoch: [23][3290/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.5806 (2.5969) Prec@1 34.375 (36.940) Prec@5 66.250 (67.714) Epoch: [23][3300/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.5826 (2.5970) Prec@1 34.375 (36.938) Prec@5 68.750 (67.710) Epoch: [23][3310/11272] Time 0.766 (0.808) Data 0.001 (0.002) Loss 2.4057 (2.5969) Prec@1 40.625 (36.937) Prec@5 71.875 (67.714) Epoch: [23][3320/11272] Time 0.906 (0.808) Data 0.001 (0.002) Loss 2.4603 (2.5969) Prec@1 36.875 (36.941) Prec@5 71.250 (67.715) Epoch: [23][3330/11272] Time 0.911 (0.808) Data 0.002 (0.002) Loss 2.6202 (2.5968) Prec@1 38.125 (36.940) Prec@5 65.625 (67.716) Epoch: [23][3340/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.4983 (2.5969) Prec@1 40.000 (36.938) Prec@5 71.875 (67.718) Epoch: [23][3350/11272] Time 0.745 (0.808) Data 0.001 (0.002) Loss 2.4233 (2.5969) Prec@1 38.125 (36.938) Prec@5 70.625 (67.718) Epoch: [23][3360/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.4642 (2.5969) Prec@1 41.875 (36.944) Prec@5 68.750 (67.718) Epoch: [23][3370/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.7100 (2.5969) Prec@1 36.875 (36.944) Prec@5 68.125 (67.717) Epoch: [23][3380/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.7214 (2.5970) Prec@1 30.000 (36.940) Prec@5 68.125 (67.713) Epoch: [23][3390/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.5661 (2.5968) Prec@1 36.875 (36.944) Prec@5 70.000 (67.717) Epoch: [23][3400/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.7960 (2.5969) Prec@1 34.375 (36.941) Prec@5 64.375 (67.715) Epoch: [23][3410/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.5642 (2.5968) Prec@1 36.250 (36.942) Prec@5 68.750 (67.719) Epoch: [23][3420/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5905 (2.5969) Prec@1 38.750 (36.939) Prec@5 64.375 (67.719) Epoch: [23][3430/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.3812 (2.5968) Prec@1 43.750 (36.941) Prec@5 69.375 (67.721) Epoch: [23][3440/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.6030 (2.5967) Prec@1 31.250 (36.938) Prec@5 67.500 (67.722) Epoch: [23][3450/11272] Time 0.741 (0.808) Data 0.003 (0.002) Loss 2.7466 (2.5966) Prec@1 33.750 (36.940) Prec@5 68.750 (67.728) Epoch: [23][3460/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.6184 (2.5966) Prec@1 34.375 (36.941) Prec@5 64.375 (67.728) Epoch: [23][3470/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4409 (2.5965) Prec@1 40.625 (36.941) Prec@5 70.625 (67.730) Epoch: [23][3480/11272] Time 0.921 (0.808) Data 0.002 (0.002) Loss 2.6076 (2.5967) Prec@1 35.000 (36.934) Prec@5 68.750 (67.727) Epoch: [23][3490/11272] Time 0.759 (0.808) Data 0.001 (0.002) Loss 2.8942 (2.5969) Prec@1 28.125 (36.930) Prec@5 60.625 (67.725) Epoch: [23][3500/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.6725 (2.5970) Prec@1 33.125 (36.928) Prec@5 64.375 (67.726) Epoch: [23][3510/11272] Time 0.865 (0.808) Data 0.001 (0.002) Loss 2.6045 (2.5972) Prec@1 37.500 (36.926) Prec@5 67.500 (67.723) Epoch: [23][3520/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.4823 (2.5970) Prec@1 37.500 (36.927) Prec@5 69.375 (67.725) Epoch: [23][3530/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.4968 (2.5969) Prec@1 41.250 (36.929) Prec@5 68.125 (67.729) Epoch: [23][3540/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.5019 (2.5966) Prec@1 37.500 (36.933) Prec@5 70.625 (67.736) Epoch: [23][3550/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.5053 (2.5966) Prec@1 39.375 (36.935) Prec@5 68.750 (67.736) Epoch: [23][3560/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.5332 (2.5964) Prec@1 39.375 (36.940) Prec@5 71.875 (67.739) Epoch: [23][3570/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.4302 (2.5963) Prec@1 42.500 (36.943) Prec@5 72.500 (67.743) Epoch: [23][3580/11272] Time 0.933 (0.808) Data 0.002 (0.002) Loss 2.5883 (2.5963) Prec@1 36.875 (36.943) Prec@5 64.375 (67.739) Epoch: [23][3590/11272] Time 0.886 (0.808) Data 0.001 (0.002) Loss 2.5968 (2.5960) Prec@1 33.125 (36.947) Prec@5 64.375 (67.742) Epoch: [23][3600/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.7749 (2.5963) Prec@1 34.375 (36.941) Prec@5 66.250 (67.733) Epoch: [23][3610/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.6108 (2.5966) Prec@1 36.250 (36.937) Prec@5 69.375 (67.727) Epoch: [23][3620/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.8261 (2.5968) Prec@1 35.625 (36.932) Prec@5 61.250 (67.721) Epoch: [23][3630/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7456 (2.5969) Prec@1 38.125 (36.929) Prec@5 63.750 (67.720) Epoch: [23][3640/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5332 (2.5968) Prec@1 40.000 (36.931) Prec@5 65.625 (67.721) Epoch: [23][3650/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.5396 (2.5969) Prec@1 38.750 (36.928) Prec@5 67.500 (67.724) Epoch: [23][3660/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.4700 (2.5967) Prec@1 41.250 (36.933) Prec@5 68.750 (67.726) Epoch: [23][3670/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.3776 (2.5967) Prec@1 39.375 (36.932) Prec@5 69.375 (67.723) Epoch: [23][3680/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.4204 (2.5963) Prec@1 43.750 (36.944) Prec@5 66.250 (67.730) Epoch: [23][3690/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.4816 (2.5963) Prec@1 36.875 (36.945) Prec@5 76.250 (67.733) Epoch: [23][3700/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.8491 (2.5964) Prec@1 36.250 (36.947) Prec@5 62.500 (67.728) Epoch: [23][3710/11272] Time 0.741 (0.808) Data 0.003 (0.002) Loss 2.4260 (2.5964) Prec@1 40.625 (36.946) Prec@5 71.875 (67.726) Epoch: [23][3720/11272] Time 0.728 (0.808) Data 0.002 (0.002) Loss 2.6855 (2.5967) Prec@1 38.125 (36.941) Prec@5 65.625 (67.721) Epoch: [23][3730/11272] Time 0.847 (0.808) Data 0.002 (0.002) Loss 2.7680 (2.5969) Prec@1 31.875 (36.938) Prec@5 65.625 (67.718) Epoch: [23][3740/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6205 (2.5968) Prec@1 39.375 (36.939) Prec@5 68.125 (67.719) Epoch: [23][3750/11272] Time 0.719 (0.808) Data 0.002 (0.002) Loss 2.4327 (2.5969) Prec@1 42.500 (36.938) Prec@5 70.625 (67.718) Epoch: [23][3760/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.3379 (2.5968) Prec@1 40.625 (36.938) Prec@5 71.875 (67.721) Epoch: [23][3770/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.7490 (2.5966) Prec@1 36.250 (36.948) Prec@5 61.250 (67.722) Epoch: [23][3780/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.4900 (2.5968) Prec@1 36.250 (36.945) Prec@5 74.375 (67.717) Epoch: [23][3790/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.5609 (2.5968) Prec@1 36.250 (36.946) Prec@5 67.500 (67.712) Epoch: [23][3800/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.7118 (2.5970) Prec@1 38.750 (36.946) Prec@5 62.500 (67.711) Epoch: [23][3810/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4435 (2.5969) Prec@1 45.000 (36.956) Prec@5 70.625 (67.711) Epoch: [23][3820/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.4199 (2.5967) Prec@1 41.250 (36.957) Prec@5 71.250 (67.715) Epoch: [23][3830/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.6207 (2.5966) Prec@1 33.750 (36.958) Prec@5 68.750 (67.719) Epoch: [23][3840/11272] Time 0.859 (0.808) Data 0.001 (0.002) Loss 2.6751 (2.5966) Prec@1 36.250 (36.958) Prec@5 63.125 (67.717) Epoch: [23][3850/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.5292 (2.5968) Prec@1 38.125 (36.954) Prec@5 68.750 (67.712) Epoch: [23][3860/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.5383 (2.5970) Prec@1 33.125 (36.951) Prec@5 70.625 (67.708) Epoch: [23][3870/11272] Time 0.780 (0.808) Data 0.002 (0.002) Loss 2.7342 (2.5972) Prec@1 30.625 (36.947) Prec@5 65.625 (67.705) Epoch: [23][3880/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.3122 (2.5973) Prec@1 41.250 (36.948) Prec@5 71.875 (67.701) Epoch: [23][3890/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.5725 (2.5970) Prec@1 35.000 (36.953) Prec@5 66.875 (67.704) Epoch: [23][3900/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.6853 (2.5971) Prec@1 41.875 (36.952) Prec@5 64.375 (67.700) Epoch: [23][3910/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.5936 (2.5972) Prec@1 36.250 (36.952) Prec@5 66.875 (67.697) Epoch: [23][3920/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.3610 (2.5971) Prec@1 42.500 (36.955) Prec@5 71.250 (67.699) Epoch: [23][3930/11272] Time 0.888 (0.808) Data 0.003 (0.002) Loss 2.6650 (2.5970) Prec@1 38.125 (36.955) Prec@5 67.500 (67.698) Epoch: [23][3940/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.7209 (2.5971) Prec@1 34.375 (36.952) Prec@5 64.375 (67.697) Epoch: [23][3950/11272] Time 0.768 (0.808) Data 0.001 (0.002) Loss 2.6464 (2.5972) Prec@1 34.375 (36.945) Prec@5 67.500 (67.695) Epoch: [23][3960/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.5386 (2.5971) Prec@1 40.625 (36.948) Prec@5 68.750 (67.701) Epoch: [23][3970/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.8288 (2.5971) Prec@1 28.125 (36.945) Prec@5 61.875 (67.701) Epoch: [23][3980/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.7187 (2.5970) Prec@1 35.000 (36.942) Prec@5 66.875 (67.705) Epoch: [23][3990/11272] Time 0.875 (0.808) Data 0.001 (0.002) Loss 2.6507 (2.5969) Prec@1 36.875 (36.945) Prec@5 70.000 (67.710) Epoch: [23][4000/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.7439 (2.5968) Prec@1 31.875 (36.942) Prec@5 68.750 (67.711) Epoch: [23][4010/11272] Time 0.779 (0.808) Data 0.002 (0.002) Loss 2.6976 (2.5968) Prec@1 36.250 (36.945) Prec@5 66.250 (67.712) Epoch: [23][4020/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.6889 (2.5967) Prec@1 35.000 (36.949) Prec@5 65.625 (67.713) Epoch: [23][4030/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.3539 (2.5966) Prec@1 43.125 (36.949) Prec@5 73.125 (67.715) Epoch: [23][4040/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.3489 (2.5967) Prec@1 43.125 (36.948) Prec@5 69.375 (67.715) Epoch: [23][4050/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.6336 (2.5967) Prec@1 37.500 (36.947) Prec@5 68.750 (67.715) Epoch: [23][4060/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.6990 (2.5966) Prec@1 31.250 (36.947) Prec@5 65.000 (67.716) Epoch: [23][4070/11272] Time 0.846 (0.808) Data 0.001 (0.002) Loss 2.6959 (2.5967) Prec@1 31.250 (36.945) Prec@5 65.625 (67.715) Epoch: [23][4080/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.4126 (2.5967) Prec@1 40.000 (36.946) Prec@5 69.375 (67.713) Epoch: [23][4090/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.6346 (2.5968) Prec@1 33.750 (36.946) Prec@5 68.125 (67.714) Epoch: [23][4100/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.7531 (2.5969) Prec@1 35.625 (36.946) Prec@5 68.125 (67.713) Epoch: [23][4110/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.5293 (2.5969) Prec@1 35.625 (36.946) Prec@5 69.375 (67.714) Epoch: [23][4120/11272] Time 0.720 (0.808) Data 0.001 (0.002) Loss 2.4328 (2.5967) Prec@1 44.375 (36.949) Prec@5 66.250 (67.716) Epoch: [23][4130/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.6675 (2.5966) Prec@1 36.250 (36.955) Prec@5 65.625 (67.717) Epoch: [23][4140/11272] Time 0.833 (0.808) Data 0.001 (0.002) Loss 2.6639 (2.5966) Prec@1 33.125 (36.954) Prec@5 64.375 (67.717) Epoch: [23][4150/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.8507 (2.5967) Prec@1 30.625 (36.951) Prec@5 61.250 (67.716) Epoch: [23][4160/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.6670 (2.5967) Prec@1 34.375 (36.948) Prec@5 67.500 (67.719) Epoch: [23][4170/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.7953 (2.5966) Prec@1 28.750 (36.947) Prec@5 60.625 (67.724) Epoch: [23][4180/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.3029 (2.5964) Prec@1 42.500 (36.950) Prec@5 71.875 (67.724) Epoch: [23][4190/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.5319 (2.5964) Prec@1 35.000 (36.950) Prec@5 71.875 (67.724) Epoch: [23][4200/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.5931 (2.5968) Prec@1 36.875 (36.945) Prec@5 66.250 (67.718) Epoch: [23][4210/11272] Time 0.784 (0.808) Data 0.002 (0.002) Loss 2.6774 (2.5969) Prec@1 34.375 (36.942) Prec@5 65.625 (67.714) Epoch: [23][4220/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.5540 (2.5968) Prec@1 37.500 (36.944) Prec@5 65.625 (67.712) Epoch: [23][4230/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.7031 (2.5966) Prec@1 31.250 (36.945) Prec@5 65.625 (67.717) Epoch: [23][4240/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.4165 (2.5965) Prec@1 38.125 (36.944) Prec@5 70.000 (67.717) Epoch: [23][4250/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.4991 (2.5964) Prec@1 35.625 (36.947) Prec@5 70.000 (67.717) Epoch: [23][4260/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.6449 (2.5964) Prec@1 39.375 (36.947) Prec@5 66.250 (67.716) Epoch: [23][4270/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.7657 (2.5964) Prec@1 30.625 (36.947) Prec@5 67.500 (67.713) Epoch: [23][4280/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5710 (2.5962) Prec@1 36.250 (36.951) Prec@5 68.750 (67.715) Epoch: [23][4290/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.4590 (2.5961) Prec@1 39.375 (36.952) Prec@5 70.000 (67.717) Epoch: [23][4300/11272] Time 0.893 (0.808) Data 0.002 (0.002) Loss 2.6408 (2.5959) Prec@1 38.125 (36.954) Prec@5 66.250 (67.720) Epoch: [23][4310/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.4640 (2.5959) Prec@1 40.000 (36.948) Prec@5 69.375 (67.720) Epoch: [23][4320/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.5462 (2.5959) Prec@1 44.375 (36.948) Prec@5 66.875 (67.719) Epoch: [23][4330/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.5027 (2.5959) Prec@1 40.625 (36.954) Prec@5 68.125 (67.720) Epoch: [23][4340/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.7437 (2.5957) Prec@1 35.000 (36.957) Prec@5 66.875 (67.725) Epoch: [23][4350/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.5713 (2.5957) Prec@1 38.125 (36.957) Prec@5 71.250 (67.724) Epoch: [23][4360/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.6414 (2.5956) Prec@1 38.125 (36.963) Prec@5 66.875 (67.726) Epoch: [23][4370/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.5354 (2.5955) Prec@1 40.000 (36.966) Prec@5 72.500 (67.727) Epoch: [23][4380/11272] Time 0.738 (0.808) Data 0.003 (0.002) Loss 2.7124 (2.5955) Prec@1 38.750 (36.965) Prec@5 67.500 (67.729) Epoch: [23][4390/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.8020 (2.5955) Prec@1 29.375 (36.967) Prec@5 67.500 (67.731) Epoch: [23][4400/11272] Time 0.910 (0.808) Data 0.001 (0.002) Loss 2.6864 (2.5954) Prec@1 40.000 (36.964) Prec@5 66.250 (67.733) Epoch: [23][4410/11272] Time 0.931 (0.808) Data 0.002 (0.002) Loss 2.7468 (2.5955) Prec@1 36.250 (36.967) Prec@5 65.000 (67.731) Epoch: [23][4420/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.4413 (2.5955) Prec@1 40.000 (36.967) Prec@5 68.125 (67.732) Epoch: [23][4430/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.3480 (2.5954) Prec@1 41.250 (36.966) Prec@5 73.125 (67.734) Epoch: [23][4440/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.7950 (2.5956) Prec@1 33.125 (36.963) Prec@5 61.875 (67.732) Epoch: [23][4450/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.4041 (2.5956) Prec@1 37.500 (36.960) Prec@5 71.250 (67.728) Epoch: [23][4460/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.5302 (2.5957) Prec@1 39.375 (36.956) Prec@5 68.750 (67.726) Epoch: [23][4470/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.7158 (2.5956) Prec@1 37.500 (36.958) Prec@5 68.750 (67.728) Epoch: [23][4480/11272] Time 0.829 (0.808) Data 0.002 (0.002) Loss 2.6025 (2.5957) Prec@1 40.000 (36.953) Prec@5 64.375 (67.725) Epoch: [23][4490/11272] Time 0.916 (0.808) Data 0.002 (0.002) Loss 2.4334 (2.5957) Prec@1 39.375 (36.950) Prec@5 71.875 (67.724) Epoch: [23][4500/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.9397 (2.5961) Prec@1 29.375 (36.945) Prec@5 61.875 (67.716) Epoch: [23][4510/11272] Time 0.904 (0.808) Data 0.001 (0.002) Loss 2.2664 (2.5958) Prec@1 39.375 (36.948) Prec@5 76.250 (67.721) Epoch: [23][4520/11272] Time 0.856 (0.808) Data 0.001 (0.002) Loss 2.8230 (2.5960) Prec@1 33.750 (36.945) Prec@5 67.500 (67.719) Epoch: [23][4530/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.4327 (2.5960) Prec@1 41.875 (36.944) Prec@5 73.750 (67.722) Epoch: [23][4540/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5226 (2.5958) Prec@1 36.875 (36.946) Prec@5 70.000 (67.726) Epoch: [23][4550/11272] Time 0.869 (0.808) Data 0.001 (0.002) Loss 2.3967 (2.5957) Prec@1 40.625 (36.947) Prec@5 67.500 (67.727) Epoch: [23][4560/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7224 (2.5958) Prec@1 36.875 (36.943) Prec@5 64.375 (67.725) Epoch: [23][4570/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.6285 (2.5960) Prec@1 35.000 (36.937) Prec@5 68.750 (67.725) Epoch: [23][4580/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.5401 (2.5960) Prec@1 36.875 (36.937) Prec@5 71.250 (67.726) Epoch: [23][4590/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.8034 (2.5962) Prec@1 34.375 (36.930) Prec@5 61.875 (67.723) Epoch: [23][4600/11272] Time 0.865 (0.808) Data 0.001 (0.002) Loss 2.5515 (2.5961) Prec@1 31.875 (36.932) Prec@5 65.625 (67.725) Epoch: [23][4610/11272] Time 0.774 (0.808) Data 0.002 (0.002) Loss 2.6932 (2.5963) Prec@1 33.750 (36.928) Prec@5 67.500 (67.720) Epoch: [23][4620/11272] Time 0.712 (0.808) Data 0.001 (0.002) Loss 2.6535 (2.5962) Prec@1 38.750 (36.933) Prec@5 64.375 (67.721) Epoch: [23][4630/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.5719 (2.5960) Prec@1 38.125 (36.932) Prec@5 66.875 (67.725) Epoch: [23][4640/11272] Time 0.741 (0.808) Data 0.003 (0.002) Loss 2.5858 (2.5961) Prec@1 38.125 (36.933) Prec@5 70.625 (67.723) Epoch: [23][4650/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.6518 (2.5960) Prec@1 35.625 (36.933) Prec@5 67.500 (67.727) Epoch: [23][4660/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.7472 (2.5960) Prec@1 35.625 (36.934) Prec@5 64.375 (67.727) Epoch: [23][4670/11272] Time 0.948 (0.808) Data 0.002 (0.002) Loss 2.6449 (2.5959) Prec@1 36.250 (36.937) Prec@5 68.125 (67.729) Epoch: [23][4680/11272] Time 0.747 (0.808) Data 0.001 (0.002) Loss 2.6877 (2.5959) Prec@1 35.625 (36.935) Prec@5 65.000 (67.728) Epoch: [23][4690/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 2.7656 (2.5960) Prec@1 35.625 (36.934) Prec@5 66.250 (67.727) Epoch: [23][4700/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.3341 (2.5960) Prec@1 44.375 (36.936) Prec@5 73.125 (67.727) Epoch: [23][4710/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.7426 (2.5961) Prec@1 29.375 (36.931) Prec@5 68.125 (67.726) Epoch: [23][4720/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.5162 (2.5960) Prec@1 34.375 (36.932) Prec@5 70.625 (67.730) Epoch: [23][4730/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5868 (2.5961) Prec@1 36.250 (36.931) Prec@5 71.250 (67.731) Epoch: [23][4740/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.3660 (2.5959) Prec@1 40.000 (36.935) Prec@5 69.375 (67.734) Epoch: [23][4750/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.7156 (2.5959) Prec@1 35.000 (36.933) Prec@5 61.875 (67.733) Epoch: [23][4760/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5329 (2.5960) Prec@1 35.625 (36.930) Prec@5 66.875 (67.734) Epoch: [23][4770/11272] Time 0.847 (0.808) Data 0.002 (0.002) Loss 3.0560 (2.5963) Prec@1 26.875 (36.921) Prec@5 62.500 (67.728) Epoch: [23][4780/11272] Time 0.904 (0.808) Data 0.001 (0.002) Loss 2.5157 (2.5962) Prec@1 38.750 (36.924) Prec@5 68.125 (67.729) Epoch: [23][4790/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.3782 (2.5962) Prec@1 40.625 (36.924) Prec@5 73.750 (67.731) Epoch: [23][4800/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.6057 (2.5961) Prec@1 38.750 (36.929) Prec@5 63.750 (67.731) Epoch: [23][4810/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.5233 (2.5960) Prec@1 40.000 (36.934) Prec@5 68.125 (67.732) Epoch: [23][4820/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.4638 (2.5961) Prec@1 40.000 (36.931) Prec@5 70.625 (67.727) Epoch: [23][4830/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.4880 (2.5962) Prec@1 40.625 (36.930) Prec@5 69.375 (67.725) Epoch: [23][4840/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.4359 (2.5962) Prec@1 40.000 (36.929) Prec@5 71.875 (67.724) Epoch: [23][4850/11272] Time 0.839 (0.808) Data 0.002 (0.002) Loss 2.4997 (2.5962) Prec@1 38.750 (36.931) Prec@5 64.375 (67.722) Epoch: [23][4860/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.7806 (2.5964) Prec@1 35.000 (36.929) Prec@5 61.875 (67.717) Epoch: [23][4870/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.6287 (2.5966) Prec@1 40.000 (36.926) Prec@5 65.000 (67.714) Epoch: [23][4880/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.6973 (2.5966) Prec@1 33.125 (36.924) Prec@5 64.375 (67.712) Epoch: [23][4890/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6927 (2.5966) Prec@1 40.000 (36.924) Prec@5 63.750 (67.712) Epoch: [23][4900/11272] Time 0.821 (0.808) Data 0.001 (0.002) Loss 2.6595 (2.5965) Prec@1 31.875 (36.925) Prec@5 68.125 (67.714) Epoch: [23][4910/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.4387 (2.5964) Prec@1 43.125 (36.926) Prec@5 71.875 (67.717) Epoch: [23][4920/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.9261 (2.5965) Prec@1 30.000 (36.922) Prec@5 58.125 (67.718) Epoch: [23][4930/11272] Time 0.843 (0.808) Data 0.001 (0.002) Loss 2.4457 (2.5966) Prec@1 41.250 (36.920) Prec@5 73.125 (67.716) Epoch: [23][4940/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.4041 (2.5964) Prec@1 40.000 (36.927) Prec@5 66.250 (67.719) Epoch: [23][4950/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.5896 (2.5964) Prec@1 36.875 (36.927) Prec@5 68.750 (67.719) Epoch: [23][4960/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.4713 (2.5964) Prec@1 45.625 (36.927) Prec@5 68.125 (67.719) Epoch: [23][4970/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.4353 (2.5965) Prec@1 39.375 (36.927) Prec@5 73.750 (67.718) Epoch: [23][4980/11272] Time 0.762 (0.808) Data 0.001 (0.002) Loss 2.4295 (2.5965) Prec@1 37.500 (36.928) Prec@5 77.500 (67.718) Epoch: [23][4990/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.3842 (2.5962) Prec@1 38.125 (36.929) Prec@5 71.875 (67.723) Epoch: [23][5000/11272] Time 0.885 (0.808) Data 0.001 (0.002) Loss 2.4004 (2.5961) Prec@1 38.125 (36.929) Prec@5 69.375 (67.725) Epoch: [23][5010/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.5373 (2.5961) Prec@1 40.000 (36.928) Prec@5 65.000 (67.724) Epoch: [23][5020/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.4289 (2.5961) Prec@1 41.250 (36.929) Prec@5 70.625 (67.724) Epoch: [23][5030/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5671 (2.5961) Prec@1 33.750 (36.929) Prec@5 68.750 (67.724) Epoch: [23][5040/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.6423 (2.5963) Prec@1 35.625 (36.925) Prec@5 65.000 (67.721) Epoch: [23][5050/11272] Time 0.755 (0.808) Data 0.001 (0.002) Loss 2.7960 (2.5964) Prec@1 34.375 (36.923) Prec@5 59.375 (67.718) Epoch: [23][5060/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.9432 (2.5966) Prec@1 31.875 (36.919) Prec@5 63.750 (67.716) Epoch: [23][5070/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.4940 (2.5964) Prec@1 35.625 (36.916) Prec@5 69.375 (67.719) Epoch: [23][5080/11272] Time 0.847 (0.808) Data 0.002 (0.002) Loss 2.4990 (2.5965) Prec@1 35.625 (36.914) Prec@5 71.875 (67.717) Epoch: [23][5090/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.5629 (2.5964) Prec@1 39.375 (36.912) Prec@5 71.250 (67.720) Epoch: [23][5100/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.7108 (2.5965) Prec@1 35.625 (36.908) Prec@5 68.125 (67.719) Epoch: [23][5110/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.4593 (2.5964) Prec@1 35.625 (36.909) Prec@5 69.375 (67.721) Epoch: [23][5120/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.5206 (2.5964) Prec@1 41.250 (36.911) Prec@5 71.250 (67.722) Epoch: [23][5130/11272] Time 0.785 (0.808) Data 0.002 (0.002) Loss 2.3782 (2.5965) Prec@1 40.000 (36.906) Prec@5 72.500 (67.723) Epoch: [23][5140/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.6714 (2.5966) Prec@1 32.500 (36.906) Prec@5 69.375 (67.720) Epoch: [23][5150/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.4721 (2.5966) Prec@1 38.125 (36.907) Prec@5 70.625 (67.719) Epoch: [23][5160/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6167 (2.5967) Prec@1 35.625 (36.905) Prec@5 66.250 (67.717) Epoch: [23][5170/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.5561 (2.5967) Prec@1 32.500 (36.904) Prec@5 64.375 (67.716) Epoch: [23][5180/11272] Time 0.884 (0.808) Data 0.001 (0.002) Loss 2.7742 (2.5968) Prec@1 38.750 (36.905) Prec@5 64.375 (67.714) Epoch: [23][5190/11272] Time 0.936 (0.808) Data 0.002 (0.002) Loss 2.3184 (2.5968) Prec@1 38.750 (36.905) Prec@5 74.375 (67.714) Epoch: [23][5200/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 3.0573 (2.5968) Prec@1 28.125 (36.904) Prec@5 55.625 (67.714) Epoch: [23][5210/11272] Time 0.781 (0.808) Data 0.002 (0.002) Loss 2.4614 (2.5968) Prec@1 38.750 (36.905) Prec@5 71.875 (67.713) Epoch: [23][5220/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.7445 (2.5969) Prec@1 34.375 (36.904) Prec@5 63.750 (67.710) Epoch: [23][5230/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.4068 (2.5968) Prec@1 37.500 (36.905) Prec@5 68.750 (67.709) Epoch: [23][5240/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.7899 (2.5968) Prec@1 31.250 (36.906) Prec@5 65.000 (67.706) Epoch: [23][5250/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.8121 (2.5968) Prec@1 30.625 (36.904) Prec@5 58.750 (67.705) Epoch: [23][5260/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 2.5494 (2.5968) Prec@1 37.500 (36.905) Prec@5 71.875 (67.708) Epoch: [23][5270/11272] Time 0.937 (0.808) Data 0.002 (0.002) Loss 2.7153 (2.5967) Prec@1 33.125 (36.906) Prec@5 63.750 (67.708) Epoch: [23][5280/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.3965 (2.5967) Prec@1 41.875 (36.906) Prec@5 73.750 (67.709) Epoch: [23][5290/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.7315 (2.5968) Prec@1 34.375 (36.905) Prec@5 65.000 (67.708) Epoch: [23][5300/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.6807 (2.5967) Prec@1 33.750 (36.908) Prec@5 66.250 (67.709) Epoch: [23][5310/11272] Time 0.723 (0.808) Data 0.003 (0.002) Loss 2.7930 (2.5966) Prec@1 35.625 (36.909) Prec@5 63.125 (67.711) Epoch: [23][5320/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.3851 (2.5965) Prec@1 43.125 (36.913) Prec@5 75.000 (67.712) Epoch: [23][5330/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.6207 (2.5965) Prec@1 35.625 (36.913) Prec@5 70.625 (67.713) Epoch: [23][5340/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.4553 (2.5965) Prec@1 38.125 (36.914) Prec@5 67.500 (67.715) Epoch: [23][5350/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.4966 (2.5965) Prec@1 36.250 (36.913) Prec@5 64.375 (67.712) Epoch: [23][5360/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.4484 (2.5965) Prec@1 35.625 (36.913) Prec@5 68.750 (67.711) Epoch: [23][5370/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 2.4361 (2.5964) Prec@1 35.625 (36.914) Prec@5 70.625 (67.713) Epoch: [23][5380/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.6980 (2.5963) Prec@1 38.125 (36.914) Prec@5 65.000 (67.714) Epoch: [23][5390/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.7519 (2.5962) Prec@1 35.625 (36.916) Prec@5 66.875 (67.716) Epoch: [23][5400/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.6411 (2.5962) Prec@1 33.125 (36.918) Prec@5 67.500 (67.716) Epoch: [23][5410/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.5383 (2.5961) Prec@1 38.750 (36.919) Prec@5 68.125 (67.717) Epoch: [23][5420/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.7646 (2.5963) Prec@1 34.375 (36.917) Prec@5 65.000 (67.712) Epoch: [23][5430/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.5777 (2.5963) Prec@1 34.375 (36.914) Prec@5 66.875 (67.709) Epoch: [23][5440/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.6723 (2.5963) Prec@1 38.125 (36.914) Prec@5 61.875 (67.708) Epoch: [23][5450/11272] Time 0.916 (0.808) Data 0.002 (0.002) Loss 2.4476 (2.5964) Prec@1 43.125 (36.912) Prec@5 70.000 (67.708) Epoch: [23][5460/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.7137 (2.5964) Prec@1 40.625 (36.913) Prec@5 63.125 (67.706) Epoch: [23][5470/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.5532 (2.5965) Prec@1 34.375 (36.911) Prec@5 71.875 (67.707) Epoch: [23][5480/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 2.4280 (2.5965) Prec@1 42.500 (36.911) Prec@5 68.750 (67.707) Epoch: [23][5490/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7120 (2.5968) Prec@1 35.625 (36.907) Prec@5 65.000 (67.702) Epoch: [23][5500/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.4115 (2.5968) Prec@1 42.500 (36.907) Prec@5 71.250 (67.702) Epoch: [23][5510/11272] Time 0.719 (0.808) Data 0.001 (0.002) Loss 2.6615 (2.5968) Prec@1 35.625 (36.905) Prec@5 68.125 (67.702) Epoch: [23][5520/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.6437 (2.5969) Prec@1 35.625 (36.904) Prec@5 65.000 (67.701) Epoch: [23][5530/11272] Time 0.902 (0.808) Data 0.001 (0.002) Loss 2.5561 (2.5970) Prec@1 35.000 (36.901) Prec@5 66.250 (67.700) Epoch: [23][5540/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5698 (2.5970) Prec@1 36.250 (36.900) Prec@5 64.375 (67.701) Epoch: [23][5550/11272] Time 0.759 (0.808) Data 0.002 (0.002) Loss 2.3431 (2.5970) Prec@1 37.500 (36.901) Prec@5 66.875 (67.702) Epoch: [23][5560/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.8720 (2.5970) Prec@1 33.125 (36.903) Prec@5 60.000 (67.700) Epoch: [23][5570/11272] Time 0.742 (0.808) Data 0.003 (0.002) Loss 2.4969 (2.5971) Prec@1 41.875 (36.905) Prec@5 70.000 (67.700) Epoch: [23][5580/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.7467 (2.5971) Prec@1 35.000 (36.904) Prec@5 63.750 (67.702) Epoch: [23][5590/11272] Time 0.835 (0.808) Data 0.002 (0.002) Loss 2.4963 (2.5969) Prec@1 40.625 (36.910) Prec@5 71.250 (67.705) Epoch: [23][5600/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.8745 (2.5970) Prec@1 35.000 (36.910) Prec@5 61.250 (67.704) Epoch: [23][5610/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.4828 (2.5971) Prec@1 37.500 (36.906) Prec@5 71.875 (67.700) Epoch: [23][5620/11272] Time 0.762 (0.808) Data 0.002 (0.002) Loss 2.6191 (2.5970) Prec@1 39.375 (36.907) Prec@5 68.125 (67.703) Epoch: [23][5630/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.4609 (2.5971) Prec@1 37.500 (36.906) Prec@5 66.250 (67.698) Epoch: [23][5640/11272] Time 0.904 (0.808) Data 0.002 (0.002) Loss 2.4894 (2.5971) Prec@1 41.250 (36.908) Prec@5 71.875 (67.700) Epoch: [23][5650/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.4786 (2.5971) Prec@1 40.000 (36.908) Prec@5 71.875 (67.697) Epoch: [23][5660/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.5626 (2.5973) Prec@1 38.125 (36.905) Prec@5 71.250 (67.695) Epoch: [23][5670/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.7267 (2.5971) Prec@1 33.125 (36.910) Prec@5 63.750 (67.697) Epoch: [23][5680/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.5533 (2.5971) Prec@1 37.500 (36.912) Prec@5 70.000 (67.695) Epoch: [23][5690/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.5455 (2.5971) Prec@1 35.000 (36.912) Prec@5 66.250 (67.694) Epoch: [23][5700/11272] Time 0.818 (0.808) Data 0.001 (0.002) Loss 2.7548 (2.5973) Prec@1 32.500 (36.908) Prec@5 63.125 (67.693) Epoch: [23][5710/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.7819 (2.5973) Prec@1 35.000 (36.910) Prec@5 63.750 (67.693) Epoch: [23][5720/11272] Time 0.756 (0.808) Data 0.001 (0.002) Loss 2.6360 (2.5973) Prec@1 38.125 (36.911) Prec@5 66.875 (67.692) Epoch: [23][5730/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.6535 (2.5974) Prec@1 38.125 (36.911) Prec@5 66.250 (67.688) Epoch: [23][5740/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.8380 (2.5974) Prec@1 30.625 (36.908) Prec@5 63.750 (67.685) Epoch: [23][5750/11272] Time 0.830 (0.808) Data 0.002 (0.002) Loss 2.7047 (2.5975) Prec@1 31.250 (36.904) Prec@5 63.750 (67.684) Epoch: [23][5760/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.5650 (2.5975) Prec@1 38.750 (36.905) Prec@5 66.875 (67.683) Epoch: [23][5770/11272] Time 0.732 (0.808) Data 0.002 (0.002) Loss 2.8173 (2.5975) Prec@1 30.000 (36.903) Prec@5 63.125 (67.683) Epoch: [23][5780/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 2.3379 (2.5976) Prec@1 44.375 (36.901) Prec@5 71.875 (67.682) Epoch: [23][5790/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.7127 (2.5976) Prec@1 33.750 (36.898) Prec@5 63.750 (67.682) Epoch: [23][5800/11272] Time 0.773 (0.808) Data 0.002 (0.002) Loss 2.5809 (2.5976) Prec@1 38.125 (36.898) Prec@5 68.750 (67.681) Epoch: [23][5810/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.7528 (2.5977) Prec@1 36.250 (36.897) Prec@5 61.875 (67.678) Epoch: [23][5820/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.9300 (2.5975) Prec@1 29.375 (36.897) Prec@5 57.500 (67.681) Epoch: [23][5830/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4918 (2.5974) Prec@1 43.750 (36.900) Prec@5 68.125 (67.684) Epoch: [23][5840/11272] Time 0.731 (0.808) Data 0.002 (0.002) Loss 2.3835 (2.5975) Prec@1 43.750 (36.901) Prec@5 70.000 (67.681) Epoch: [23][5850/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 2.3712 (2.5975) Prec@1 40.000 (36.899) Prec@5 74.375 (67.682) Epoch: [23][5860/11272] Time 0.895 (0.808) Data 0.002 (0.002) Loss 2.6972 (2.5975) Prec@1 35.625 (36.900) Prec@5 64.375 (67.681) Epoch: [23][5870/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.8130 (2.5977) Prec@1 37.500 (36.900) Prec@5 61.875 (67.678) Epoch: [23][5880/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.4996 (2.5974) Prec@1 40.625 (36.904) Prec@5 73.125 (67.683) Epoch: [23][5890/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.6003 (2.5974) Prec@1 35.000 (36.904) Prec@5 64.375 (67.682) Epoch: [23][5900/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.4204 (2.5974) Prec@1 38.750 (36.904) Prec@5 68.750 (67.682) Epoch: [23][5910/11272] Time 0.751 (0.808) Data 0.001 (0.002) Loss 2.5298 (2.5973) Prec@1 36.250 (36.907) Prec@5 68.125 (67.682) Epoch: [23][5920/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.5362 (2.5972) Prec@1 38.125 (36.911) Prec@5 68.750 (67.685) Epoch: [23][5930/11272] Time 0.854 (0.808) Data 0.001 (0.002) Loss 2.5801 (2.5971) Prec@1 35.000 (36.910) Prec@5 68.750 (67.686) Epoch: [23][5940/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.6216 (2.5970) Prec@1 36.875 (36.912) Prec@5 67.500 (67.687) Epoch: [23][5950/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.6540 (2.5971) Prec@1 38.750 (36.910) Prec@5 65.000 (67.686) Epoch: [23][5960/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.7220 (2.5972) Prec@1 33.750 (36.909) Prec@5 68.125 (67.685) Epoch: [23][5970/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.5255 (2.5972) Prec@1 37.500 (36.912) Prec@5 71.875 (67.683) Epoch: [23][5980/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.5623 (2.5972) Prec@1 36.875 (36.911) Prec@5 68.125 (67.683) Epoch: [23][5990/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.4878 (2.5972) Prec@1 40.625 (36.912) Prec@5 69.375 (67.683) Epoch: [23][6000/11272] Time 0.822 (0.808) Data 0.001 (0.002) Loss 2.6884 (2.5973) Prec@1 33.125 (36.910) Prec@5 66.250 (67.684) Epoch: [23][6010/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 2.7159 (2.5974) Prec@1 35.000 (36.904) Prec@5 64.375 (67.679) Epoch: [23][6020/11272] Time 0.759 (0.808) Data 0.002 (0.002) Loss 2.5916 (2.5974) Prec@1 33.750 (36.903) Prec@5 70.000 (67.681) Epoch: [23][6030/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.7788 (2.5975) Prec@1 35.000 (36.902) Prec@5 68.125 (67.681) Epoch: [23][6040/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.4164 (2.5974) Prec@1 43.750 (36.905) Prec@5 68.125 (67.683) Epoch: [23][6050/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.7467 (2.5973) Prec@1 35.625 (36.906) Prec@5 63.750 (67.685) Epoch: [23][6060/11272] Time 0.773 (0.808) Data 0.002 (0.002) Loss 2.5695 (2.5973) Prec@1 40.000 (36.907) Prec@5 68.125 (67.684) Epoch: [23][6070/11272] Time 0.719 (0.808) Data 0.001 (0.002) Loss 2.9268 (2.5973) Prec@1 30.625 (36.908) Prec@5 58.750 (67.683) Epoch: [23][6080/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.5144 (2.5972) Prec@1 43.125 (36.910) Prec@5 75.000 (67.684) Epoch: [23][6090/11272] Time 0.861 (0.808) Data 0.001 (0.002) Loss 2.7164 (2.5973) Prec@1 30.000 (36.908) Prec@5 65.625 (67.684) Epoch: [23][6100/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.5671 (2.5974) Prec@1 40.625 (36.908) Prec@5 71.250 (67.682) Epoch: [23][6110/11272] Time 0.827 (0.808) Data 0.001 (0.002) Loss 2.4618 (2.5974) Prec@1 37.500 (36.906) Prec@5 71.250 (67.682) Epoch: [23][6120/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6158 (2.5975) Prec@1 33.750 (36.903) Prec@5 69.375 (67.681) Epoch: [23][6130/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.6261 (2.5974) Prec@1 36.250 (36.903) Prec@5 66.250 (67.682) Epoch: [23][6140/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.7449 (2.5974) Prec@1 34.375 (36.905) Prec@5 66.875 (67.683) Epoch: [23][6150/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.4096 (2.5973) Prec@1 43.750 (36.908) Prec@5 71.250 (67.684) Epoch: [23][6160/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.3952 (2.5974) Prec@1 40.000 (36.908) Prec@5 70.000 (67.682) Epoch: [23][6170/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.6193 (2.5974) Prec@1 34.375 (36.908) Prec@5 63.750 (67.683) Epoch: [23][6180/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.6444 (2.5975) Prec@1 33.750 (36.908) Prec@5 66.875 (67.679) Epoch: [23][6190/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.5394 (2.5974) Prec@1 40.000 (36.910) Prec@5 69.375 (67.680) Epoch: [23][6200/11272] Time 0.893 (0.808) Data 0.002 (0.002) Loss 2.6828 (2.5975) Prec@1 30.625 (36.909) Prec@5 63.125 (67.679) Epoch: [23][6210/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.7942 (2.5976) Prec@1 34.375 (36.907) Prec@5 65.625 (67.677) Epoch: [23][6220/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.4239 (2.5975) Prec@1 40.000 (36.909) Prec@5 69.375 (67.677) Epoch: [23][6230/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.4325 (2.5974) Prec@1 43.750 (36.913) Prec@5 70.000 (67.680) Epoch: [23][6240/11272] Time 0.740 (0.808) Data 0.003 (0.002) Loss 2.4994 (2.5973) Prec@1 36.875 (36.913) Prec@5 69.375 (67.680) Epoch: [23][6250/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.6802 (2.5973) Prec@1 35.625 (36.913) Prec@5 63.125 (67.681) Epoch: [23][6260/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7266 (2.5973) Prec@1 36.250 (36.910) Prec@5 61.250 (67.681) Epoch: [23][6270/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.6142 (2.5974) Prec@1 37.500 (36.908) Prec@5 72.500 (67.681) Epoch: [23][6280/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.5128 (2.5974) Prec@1 36.250 (36.908) Prec@5 68.750 (67.681) Epoch: [23][6290/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.5048 (2.5973) Prec@1 40.625 (36.910) Prec@5 66.250 (67.681) Epoch: [23][6300/11272] Time 0.925 (0.808) Data 0.002 (0.002) Loss 2.5067 (2.5974) Prec@1 33.750 (36.906) Prec@5 70.000 (67.680) Epoch: [23][6310/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.9258 (2.5975) Prec@1 28.750 (36.906) Prec@5 66.250 (67.680) Epoch: [23][6320/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.7759 (2.5974) Prec@1 35.000 (36.906) Prec@5 63.125 (67.681) Epoch: [23][6330/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.5633 (2.5974) Prec@1 35.625 (36.906) Prec@5 71.875 (67.682) Epoch: [23][6340/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.5779 (2.5974) Prec@1 35.000 (36.906) Prec@5 70.000 (67.681) Epoch: [23][6350/11272] Time 0.810 (0.808) Data 0.001 (0.002) Loss 2.5791 (2.5976) Prec@1 36.250 (36.902) Prec@5 64.375 (67.676) Epoch: [23][6360/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.7274 (2.5975) Prec@1 36.875 (36.904) Prec@5 61.875 (67.676) Epoch: [23][6370/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.5302 (2.5976) Prec@1 36.250 (36.903) Prec@5 68.750 (67.674) Epoch: [23][6380/11272] Time 0.846 (0.808) Data 0.001 (0.002) Loss 2.5560 (2.5976) Prec@1 37.500 (36.903) Prec@5 67.500 (67.673) Epoch: [23][6390/11272] Time 0.718 (0.808) Data 0.001 (0.002) Loss 2.7014 (2.5977) Prec@1 39.375 (36.902) Prec@5 66.250 (67.670) Epoch: [23][6400/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.6310 (2.5977) Prec@1 33.125 (36.902) Prec@5 68.125 (67.671) Epoch: [23][6410/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.7177 (2.5976) Prec@1 30.625 (36.902) Prec@5 67.500 (67.673) Epoch: [23][6420/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.5451 (2.5976) Prec@1 36.875 (36.902) Prec@5 71.875 (67.674) Epoch: [23][6430/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.5614 (2.5976) Prec@1 35.625 (36.901) Prec@5 71.875 (67.675) Epoch: [23][6440/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 2.6844 (2.5977) Prec@1 38.750 (36.900) Prec@5 65.625 (67.673) Epoch: [23][6450/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.8889 (2.5976) Prec@1 32.500 (36.901) Prec@5 62.500 (67.677) Epoch: [23][6460/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.7951 (2.5977) Prec@1 34.375 (36.899) Prec@5 65.625 (67.676) Epoch: [23][6470/11272] Time 0.751 (0.808) Data 0.001 (0.002) Loss 2.6027 (2.5977) Prec@1 36.875 (36.900) Prec@5 68.125 (67.675) Epoch: [23][6480/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.5817 (2.5977) Prec@1 33.125 (36.897) Prec@5 68.750 (67.677) Epoch: [23][6490/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.5773 (2.5978) Prec@1 36.250 (36.896) Prec@5 67.500 (67.675) Epoch: [23][6500/11272] Time 0.767 (0.808) Data 0.004 (0.002) Loss 2.8182 (2.5979) Prec@1 30.625 (36.893) Prec@5 61.875 (67.674) Epoch: [23][6510/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.4843 (2.5978) Prec@1 36.250 (36.896) Prec@5 70.625 (67.676) Epoch: [23][6520/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7026 (2.5979) Prec@1 35.625 (36.894) Prec@5 68.750 (67.676) Epoch: [23][6530/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.8628 (2.5979) Prec@1 31.875 (36.894) Prec@5 65.625 (67.676) Epoch: [23][6540/11272] Time 0.724 (0.808) Data 0.002 (0.002) Loss 2.7616 (2.5980) Prec@1 33.750 (36.892) Prec@5 61.875 (67.672) Epoch: [23][6550/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.6471 (2.5979) Prec@1 33.125 (36.893) Prec@5 68.750 (67.675) Epoch: [23][6560/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.7329 (2.5979) Prec@1 35.625 (36.895) Prec@5 60.625 (67.676) Epoch: [23][6570/11272] Time 0.899 (0.808) Data 0.003 (0.002) Loss 2.7062 (2.5979) Prec@1 35.000 (36.897) Prec@5 68.750 (67.677) Epoch: [23][6580/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 2.5583 (2.5978) Prec@1 39.375 (36.899) Prec@5 71.875 (67.680) Epoch: [23][6590/11272] Time 0.829 (0.808) Data 0.002 (0.002) Loss 2.5880 (2.5977) Prec@1 36.875 (36.899) Prec@5 64.375 (67.681) Epoch: [23][6600/11272] Time 0.903 (0.808) Data 0.008 (0.002) Loss 2.3845 (2.5977) Prec@1 45.625 (36.899) Prec@5 70.000 (67.682) Epoch: [23][6610/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.4109 (2.5977) Prec@1 40.000 (36.899) Prec@5 70.000 (67.681) Epoch: [23][6620/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.9319 (2.5977) Prec@1 26.250 (36.896) Prec@5 58.750 (67.680) Epoch: [23][6630/11272] Time 0.809 (0.808) Data 0.001 (0.002) Loss 2.6803 (2.5978) Prec@1 35.000 (36.895) Prec@5 66.250 (67.677) Epoch: [23][6640/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.5841 (2.5977) Prec@1 36.875 (36.896) Prec@5 64.375 (67.675) Epoch: [23][6650/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.2151 (2.5977) Prec@1 49.375 (36.897) Prec@5 75.625 (67.673) Epoch: [23][6660/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 2.7953 (2.5975) Prec@1 36.250 (36.900) Prec@5 64.375 (67.676) Epoch: [23][6670/11272] Time 0.917 (0.808) Data 0.002 (0.002) Loss 2.4215 (2.5975) Prec@1 38.125 (36.904) Prec@5 73.125 (67.677) Epoch: [23][6680/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.8463 (2.5975) Prec@1 33.750 (36.904) Prec@5 66.875 (67.676) Epoch: [23][6690/11272] Time 0.778 (0.808) Data 0.002 (0.002) Loss 2.6200 (2.5974) Prec@1 37.500 (36.906) Prec@5 69.375 (67.678) Epoch: [23][6700/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.6476 (2.5974) Prec@1 34.375 (36.908) Prec@5 65.000 (67.679) Epoch: [23][6710/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.4267 (2.5974) Prec@1 43.125 (36.910) Prec@5 71.875 (67.677) Epoch: [23][6720/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.6317 (2.5974) Prec@1 36.250 (36.910) Prec@5 69.375 (67.676) Epoch: [23][6730/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.6178 (2.5975) Prec@1 40.000 (36.910) Prec@5 65.625 (67.675) Epoch: [23][6740/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.4936 (2.5975) Prec@1 37.500 (36.909) Prec@5 71.250 (67.675) Epoch: [23][6750/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.6114 (2.5975) Prec@1 35.625 (36.908) Prec@5 64.375 (67.675) Epoch: [23][6760/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7267 (2.5976) Prec@1 36.250 (36.905) Prec@5 63.750 (67.673) Epoch: [23][6770/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.7387 (2.5977) Prec@1 37.500 (36.903) Prec@5 66.875 (67.671) Epoch: [23][6780/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.6370 (2.5977) Prec@1 37.500 (36.903) Prec@5 67.500 (67.670) Epoch: [23][6790/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.4170 (2.5977) Prec@1 40.000 (36.903) Prec@5 71.875 (67.671) Epoch: [23][6800/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.5203 (2.5977) Prec@1 41.250 (36.902) Prec@5 71.875 (67.671) Epoch: [23][6810/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.6330 (2.5977) Prec@1 37.500 (36.904) Prec@5 63.750 (67.670) Epoch: [23][6820/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.4132 (2.5977) Prec@1 36.875 (36.905) Prec@5 70.625 (67.670) Epoch: [23][6830/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.6778 (2.5977) Prec@1 34.375 (36.906) Prec@5 64.375 (67.669) Epoch: [23][6840/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.4995 (2.5977) Prec@1 38.125 (36.908) Prec@5 71.250 (67.669) Epoch: [23][6850/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.8337 (2.5978) Prec@1 27.500 (36.906) Prec@5 61.250 (67.666) Epoch: [23][6860/11272] Time 0.832 (0.808) Data 0.001 (0.002) Loss 2.8301 (2.5978) Prec@1 33.750 (36.906) Prec@5 61.250 (67.664) Epoch: [23][6870/11272] Time 0.877 (0.808) Data 0.002 (0.002) Loss 2.6189 (2.5980) Prec@1 38.125 (36.904) Prec@5 64.375 (67.660) Epoch: [23][6880/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.6522 (2.5979) Prec@1 33.750 (36.907) Prec@5 69.375 (67.665) Epoch: [23][6890/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.5688 (2.5978) Prec@1 38.750 (36.908) Prec@5 67.500 (67.666) Epoch: [23][6900/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.5238 (2.5978) Prec@1 40.625 (36.910) Prec@5 70.625 (67.667) Epoch: [23][6910/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.4980 (2.5979) Prec@1 33.125 (36.909) Prec@5 67.500 (67.665) Epoch: [23][6920/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.5596 (2.5979) Prec@1 36.875 (36.909) Prec@5 71.875 (67.665) Epoch: [23][6930/11272] Time 0.907 (0.808) Data 0.001 (0.002) Loss 2.7722 (2.5978) Prec@1 35.625 (36.910) Prec@5 65.000 (67.666) Epoch: [23][6940/11272] Time 0.852 (0.808) Data 0.002 (0.002) Loss 2.6555 (2.5978) Prec@1 33.750 (36.912) Prec@5 67.500 (67.666) Epoch: [23][6950/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.6150 (2.5977) Prec@1 32.500 (36.913) Prec@5 66.875 (67.667) Epoch: [23][6960/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.5356 (2.5977) Prec@1 39.375 (36.914) Prec@5 66.250 (67.665) Epoch: [23][6970/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.4763 (2.5978) Prec@1 37.500 (36.913) Prec@5 73.125 (67.664) Epoch: [23][6980/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.4875 (2.5976) Prec@1 38.125 (36.915) Prec@5 66.250 (67.667) Epoch: [23][6990/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.6295 (2.5975) Prec@1 40.625 (36.918) Prec@5 68.750 (67.669) Epoch: [23][7000/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.4506 (2.5975) Prec@1 42.500 (36.918) Prec@5 66.250 (67.668) Epoch: [23][7010/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.7588 (2.5974) Prec@1 33.125 (36.919) Prec@5 61.875 (67.669) Epoch: [23][7020/11272] Time 0.857 (0.808) Data 0.001 (0.002) Loss 2.2397 (2.5973) Prec@1 41.250 (36.918) Prec@5 75.000 (67.668) Epoch: [23][7030/11272] Time 0.773 (0.808) Data 0.001 (0.002) Loss 2.7636 (2.5974) Prec@1 38.750 (36.918) Prec@5 65.000 (67.668) Epoch: [23][7040/11272] Time 0.835 (0.808) Data 0.002 (0.002) Loss 2.5583 (2.5974) Prec@1 33.125 (36.918) Prec@5 70.625 (67.668) Epoch: [23][7050/11272] Time 0.847 (0.808) Data 0.002 (0.002) Loss 2.4812 (2.5973) Prec@1 35.000 (36.919) Prec@5 71.250 (67.669) Epoch: [23][7060/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.8744 (2.5974) Prec@1 30.000 (36.918) Prec@5 61.875 (67.667) Epoch: [23][7070/11272] Time 0.745 (0.808) Data 0.001 (0.002) Loss 2.2165 (2.5974) Prec@1 44.375 (36.917) Prec@5 73.125 (67.667) Epoch: [23][7080/11272] Time 0.904 (0.808) Data 0.002 (0.002) Loss 2.5944 (2.5973) Prec@1 38.750 (36.917) Prec@5 67.500 (67.668) Epoch: [23][7090/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.7411 (2.5973) Prec@1 38.125 (36.921) Prec@5 63.125 (67.668) Epoch: [23][7100/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.6193 (2.5973) Prec@1 38.750 (36.920) Prec@5 70.000 (67.667) Epoch: [23][7110/11272] Time 0.726 (0.808) Data 0.002 (0.002) Loss 2.5119 (2.5972) Prec@1 38.125 (36.921) Prec@5 68.750 (67.669) Epoch: [23][7120/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4057 (2.5972) Prec@1 43.750 (36.921) Prec@5 71.250 (67.669) Epoch: [23][7130/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.7355 (2.5972) Prec@1 32.500 (36.920) Prec@5 66.250 (67.669) Epoch: [23][7140/11272] Time 0.732 (0.808) Data 0.002 (0.002) Loss 2.4299 (2.5972) Prec@1 43.750 (36.922) Prec@5 72.500 (67.670) Epoch: [23][7150/11272] Time 0.745 (0.808) Data 0.001 (0.002) Loss 2.6106 (2.5972) Prec@1 41.875 (36.922) Prec@5 66.250 (67.669) Epoch: [23][7160/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.7514 (2.5972) Prec@1 36.250 (36.921) Prec@5 63.125 (67.668) Epoch: [23][7170/11272] Time 0.763 (0.808) Data 0.004 (0.002) Loss 2.6743 (2.5973) Prec@1 40.000 (36.920) Prec@5 67.500 (67.669) Epoch: [23][7180/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.4883 (2.5973) Prec@1 40.000 (36.919) Prec@5 69.375 (67.669) Epoch: [23][7190/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.5714 (2.5974) Prec@1 30.625 (36.915) Prec@5 70.625 (67.668) Epoch: [23][7200/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 2.6473 (2.5975) Prec@1 33.750 (36.912) Prec@5 63.125 (67.667) Epoch: [23][7210/11272] Time 0.742 (0.808) Data 0.002 (0.002) Loss 2.6324 (2.5976) Prec@1 34.375 (36.909) Prec@5 65.625 (67.666) Epoch: [23][7220/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.5517 (2.5977) Prec@1 35.000 (36.909) Prec@5 68.750 (67.665) Epoch: [23][7230/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.3447 (2.5977) Prec@1 43.125 (36.908) Prec@5 70.000 (67.665) Epoch: [23][7240/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.5668 (2.5977) Prec@1 38.750 (36.907) Prec@5 68.750 (67.663) Epoch: [23][7250/11272] Time 0.762 (0.808) Data 0.002 (0.002) Loss 2.6924 (2.5977) Prec@1 31.875 (36.905) Prec@5 62.500 (67.662) Epoch: [23][7260/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.7037 (2.5978) Prec@1 38.750 (36.904) Prec@5 61.250 (67.662) Epoch: [23][7270/11272] Time 0.908 (0.808) Data 0.001 (0.002) Loss 2.5164 (2.5977) Prec@1 36.875 (36.905) Prec@5 68.750 (67.664) Epoch: [23][7280/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.8338 (2.5978) Prec@1 35.000 (36.906) Prec@5 65.000 (67.662) Epoch: [23][7290/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.6569 (2.5979) Prec@1 36.875 (36.904) Prec@5 67.500 (67.660) Epoch: [23][7300/11272] Time 0.826 (0.808) Data 0.001 (0.002) Loss 2.4941 (2.5979) Prec@1 38.125 (36.906) Prec@5 69.375 (67.661) Epoch: [23][7310/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.8084 (2.5979) Prec@1 36.250 (36.906) Prec@5 61.250 (67.660) Epoch: [23][7320/11272] Time 0.774 (0.808) Data 0.002 (0.002) Loss 2.5655 (2.5980) Prec@1 34.375 (36.905) Prec@5 73.750 (67.660) Epoch: [23][7330/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.7817 (2.5981) Prec@1 33.750 (36.906) Prec@5 62.500 (67.659) Epoch: [23][7340/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.3622 (2.5980) Prec@1 37.500 (36.907) Prec@5 72.500 (67.660) Epoch: [23][7350/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.6926 (2.5980) Prec@1 33.750 (36.906) Prec@5 64.375 (67.661) Epoch: [23][7360/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.5668 (2.5981) Prec@1 40.000 (36.907) Prec@5 68.125 (67.659) Epoch: [23][7370/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.7294 (2.5981) Prec@1 33.750 (36.908) Prec@5 67.500 (67.660) Epoch: [23][7380/11272] Time 0.852 (0.808) Data 0.002 (0.002) Loss 2.8116 (2.5982) Prec@1 35.000 (36.906) Prec@5 63.750 (67.657) Epoch: [23][7390/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.6282 (2.5982) Prec@1 37.500 (36.906) Prec@5 68.125 (67.658) Epoch: [23][7400/11272] Time 0.716 (0.808) Data 0.001 (0.002) Loss 2.7917 (2.5983) Prec@1 30.625 (36.903) Prec@5 65.625 (67.656) Epoch: [23][7410/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 2.6909 (2.5983) Prec@1 31.875 (36.905) Prec@5 63.750 (67.656) Epoch: [23][7420/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.4821 (2.5983) Prec@1 40.625 (36.904) Prec@5 65.000 (67.654) Epoch: [23][7430/11272] Time 0.748 (0.808) Data 0.003 (0.002) Loss 2.5246 (2.5984) Prec@1 40.000 (36.903) Prec@5 68.125 (67.654) Epoch: [23][7440/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.5730 (2.5984) Prec@1 39.375 (36.903) Prec@5 71.250 (67.652) Epoch: [23][7450/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.5223 (2.5983) Prec@1 37.500 (36.905) Prec@5 71.250 (67.655) Epoch: [23][7460/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6312 (2.5983) Prec@1 36.250 (36.908) Prec@5 70.625 (67.657) Epoch: [23][7470/11272] Time 0.788 (0.808) Data 0.001 (0.002) Loss 2.6287 (2.5982) Prec@1 40.000 (36.910) Prec@5 70.000 (67.658) Epoch: [23][7480/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.7562 (2.5982) Prec@1 36.250 (36.909) Prec@5 63.125 (67.658) Epoch: [23][7490/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4050 (2.5982) Prec@1 40.625 (36.911) Prec@5 73.125 (67.658) Epoch: [23][7500/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7199 (2.5982) Prec@1 29.375 (36.908) Prec@5 68.125 (67.659) Epoch: [23][7510/11272] Time 0.759 (0.808) Data 0.002 (0.002) Loss 2.5332 (2.5982) Prec@1 38.125 (36.910) Prec@5 70.625 (67.660) Epoch: [23][7520/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.7233 (2.5982) Prec@1 34.375 (36.909) Prec@5 61.875 (67.658) Epoch: [23][7530/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.5131 (2.5982) Prec@1 36.875 (36.907) Prec@5 65.625 (67.656) Epoch: [23][7540/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.3271 (2.5980) Prec@1 43.125 (36.911) Prec@5 73.750 (67.660) Epoch: [23][7550/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.5971 (2.5980) Prec@1 35.000 (36.911) Prec@5 65.625 (67.660) Epoch: [23][7560/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.6531 (2.5980) Prec@1 31.875 (36.910) Prec@5 69.375 (67.660) Epoch: [23][7570/11272] Time 0.883 (0.808) Data 0.002 (0.002) Loss 2.6147 (2.5980) Prec@1 36.875 (36.912) Prec@5 70.000 (67.661) Epoch: [23][7580/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.8199 (2.5980) Prec@1 34.375 (36.914) Prec@5 66.250 (67.660) Epoch: [23][7590/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.8435 (2.5980) Prec@1 37.500 (36.913) Prec@5 63.750 (67.659) Epoch: [23][7600/11272] Time 0.847 (0.808) Data 0.002 (0.002) Loss 2.8066 (2.5980) Prec@1 34.375 (36.914) Prec@5 65.000 (67.659) Epoch: [23][7610/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.7229 (2.5979) Prec@1 31.250 (36.914) Prec@5 66.250 (67.662) Epoch: [23][7620/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.5252 (2.5979) Prec@1 36.875 (36.915) Prec@5 69.375 (67.663) Epoch: [23][7630/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.5794 (2.5980) Prec@1 33.750 (36.913) Prec@5 65.625 (67.660) Epoch: [23][7640/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.4365 (2.5979) Prec@1 36.250 (36.911) Prec@5 72.500 (67.662) Epoch: [23][7650/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.7483 (2.5980) Prec@1 34.375 (36.907) Prec@5 65.000 (67.659) Epoch: [23][7660/11272] Time 0.766 (0.808) Data 0.002 (0.002) Loss 2.3526 (2.5979) Prec@1 40.625 (36.909) Prec@5 70.625 (67.661) Epoch: [23][7670/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.9199 (2.5980) Prec@1 31.250 (36.907) Prec@5 61.250 (67.659) Epoch: [23][7680/11272] Time 0.905 (0.808) Data 0.002 (0.002) Loss 2.7937 (2.5981) Prec@1 34.375 (36.905) Prec@5 65.000 (67.656) Epoch: [23][7690/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.7356 (2.5981) Prec@1 34.375 (36.904) Prec@5 63.125 (67.654) Epoch: [23][7700/11272] Time 0.731 (0.808) Data 0.002 (0.002) Loss 2.5759 (2.5982) Prec@1 36.875 (36.903) Prec@5 69.375 (67.652) Epoch: [23][7710/11272] Time 0.824 (0.808) Data 0.001 (0.002) Loss 2.8193 (2.5983) Prec@1 33.750 (36.902) Prec@5 64.375 (67.649) Epoch: [23][7720/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.4474 (2.5983) Prec@1 36.250 (36.899) Prec@5 71.875 (67.647) Epoch: [23][7730/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.4996 (2.5984) Prec@1 38.750 (36.897) Prec@5 70.625 (67.647) Epoch: [23][7740/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.5339 (2.5983) Prec@1 37.500 (36.898) Prec@5 71.250 (67.648) Epoch: [23][7750/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 2.7505 (2.5984) Prec@1 34.375 (36.896) Prec@5 68.750 (67.649) Epoch: [23][7760/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 2.6772 (2.5984) Prec@1 40.000 (36.896) Prec@5 66.250 (67.650) Epoch: [23][7770/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.3815 (2.5983) Prec@1 42.500 (36.896) Prec@5 68.125 (67.651) Epoch: [23][7780/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.5913 (2.5982) Prec@1 35.625 (36.896) Prec@5 67.500 (67.652) Epoch: [23][7790/11272] Time 0.928 (0.808) Data 0.002 (0.002) Loss 2.7876 (2.5983) Prec@1 34.375 (36.893) Prec@5 60.625 (67.652) Epoch: [23][7800/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.5568 (2.5984) Prec@1 39.375 (36.891) Prec@5 72.500 (67.650) Epoch: [23][7810/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.5035 (2.5985) Prec@1 41.250 (36.889) Prec@5 68.125 (67.647) Epoch: [23][7820/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.2704 (2.5985) Prec@1 46.875 (36.888) Prec@5 75.625 (67.648) Epoch: [23][7830/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.8699 (2.5986) Prec@1 33.750 (36.886) Prec@5 62.500 (67.645) Epoch: [23][7840/11272] Time 0.790 (0.808) Data 0.002 (0.002) Loss 2.4792 (2.5985) Prec@1 36.875 (36.888) Prec@5 70.625 (67.647) Epoch: [23][7850/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.5989 (2.5984) Prec@1 35.000 (36.888) Prec@5 65.625 (67.647) Epoch: [23][7860/11272] Time 0.843 (0.808) Data 0.001 (0.002) Loss 2.5343 (2.5984) Prec@1 41.875 (36.890) Prec@5 69.375 (67.649) Epoch: [23][7870/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.3058 (2.5983) Prec@1 43.750 (36.892) Prec@5 70.000 (67.649) Epoch: [23][7880/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.3493 (2.5982) Prec@1 43.750 (36.892) Prec@5 70.000 (67.651) Epoch: [23][7890/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.5360 (2.5981) Prec@1 31.875 (36.893) Prec@5 70.625 (67.654) Epoch: [23][7900/11272] Time 0.840 (0.808) Data 0.002 (0.002) Loss 2.4014 (2.5980) Prec@1 38.125 (36.896) Prec@5 71.250 (67.656) Epoch: [23][7910/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.4880 (2.5979) Prec@1 38.750 (36.897) Prec@5 72.500 (67.657) Epoch: [23][7920/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 2.3392 (2.5979) Prec@1 40.000 (36.896) Prec@5 74.375 (67.657) Epoch: [23][7930/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.5071 (2.5979) Prec@1 36.250 (36.897) Prec@5 68.125 (67.657) Epoch: [23][7940/11272] Time 0.906 (0.808) Data 0.002 (0.002) Loss 2.3671 (2.5978) Prec@1 38.125 (36.898) Prec@5 73.125 (67.658) Epoch: [23][7950/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.6123 (2.5979) Prec@1 42.500 (36.898) Prec@5 70.000 (67.657) Epoch: [23][7960/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.6508 (2.5979) Prec@1 36.250 (36.897) Prec@5 70.000 (67.655) Epoch: [23][7970/11272] Time 0.870 (0.808) Data 0.001 (0.002) Loss 2.4984 (2.5978) Prec@1 38.750 (36.898) Prec@5 70.625 (67.658) Epoch: [23][7980/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.5917 (2.5979) Prec@1 41.250 (36.894) Prec@5 67.500 (67.656) Epoch: [23][7990/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.3717 (2.5980) Prec@1 41.250 (36.893) Prec@5 70.000 (67.654) Epoch: [23][8000/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.7429 (2.5979) Prec@1 28.750 (36.893) Prec@5 68.750 (67.657) Epoch: [23][8010/11272] Time 0.860 (0.808) Data 0.001 (0.002) Loss 2.6547 (2.5980) Prec@1 32.500 (36.892) Prec@5 68.750 (67.657) Epoch: [23][8020/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.7123 (2.5980) Prec@1 35.000 (36.893) Prec@5 63.125 (67.657) Epoch: [23][8030/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.5206 (2.5980) Prec@1 38.125 (36.894) Prec@5 70.000 (67.658) Epoch: [23][8040/11272] Time 0.754 (0.808) Data 0.001 (0.002) Loss 2.4078 (2.5979) Prec@1 41.250 (36.893) Prec@5 75.625 (67.661) Epoch: [23][8050/11272] Time 0.854 (0.808) Data 0.001 (0.002) Loss 2.6453 (2.5981) Prec@1 35.000 (36.891) Prec@5 65.000 (67.659) Epoch: [23][8060/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.7971 (2.5980) Prec@1 33.125 (36.891) Prec@5 66.875 (67.659) Epoch: [23][8070/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 2.6635 (2.5981) Prec@1 38.125 (36.891) Prec@5 69.375 (67.659) Epoch: [23][8080/11272] Time 0.759 (0.808) Data 0.002 (0.002) Loss 2.4772 (2.5981) Prec@1 43.750 (36.893) Prec@5 71.875 (67.659) Epoch: [23][8090/11272] Time 0.838 (0.808) Data 0.001 (0.002) Loss 2.6817 (2.5982) Prec@1 37.500 (36.891) Prec@5 71.250 (67.659) Epoch: [23][8100/11272] Time 0.756 (0.808) Data 0.003 (0.002) Loss 2.5748 (2.5983) Prec@1 38.750 (36.890) Prec@5 64.375 (67.657) Epoch: [23][8110/11272] Time 0.723 (0.808) Data 0.001 (0.002) Loss 2.6821 (2.5983) Prec@1 33.125 (36.889) Prec@5 68.750 (67.658) Epoch: [23][8120/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4270 (2.5982) Prec@1 36.875 (36.889) Prec@5 69.375 (67.659) Epoch: [23][8130/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 3.0440 (2.5982) Prec@1 28.750 (36.890) Prec@5 60.625 (67.660) Epoch: [23][8140/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.6006 (2.5981) Prec@1 35.000 (36.893) Prec@5 65.000 (67.661) Epoch: [23][8150/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.6487 (2.5981) Prec@1 34.375 (36.892) Prec@5 65.000 (67.661) Epoch: [23][8160/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.7601 (2.5982) Prec@1 33.750 (36.890) Prec@5 60.625 (67.659) Epoch: [23][8170/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.2515 (2.5982) Prec@1 43.750 (36.889) Prec@5 73.125 (67.660) Epoch: [23][8180/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.6289 (2.5982) Prec@1 33.125 (36.889) Prec@5 65.000 (67.661) Epoch: [23][8190/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.4406 (2.5981) Prec@1 41.250 (36.889) Prec@5 71.875 (67.664) Epoch: [23][8200/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.5814 (2.5982) Prec@1 41.250 (36.887) Prec@5 65.625 (67.663) Epoch: [23][8210/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.5705 (2.5983) Prec@1 35.000 (36.886) Prec@5 65.625 (67.662) Epoch: [23][8220/11272] Time 0.747 (0.808) Data 0.001 (0.002) Loss 2.8187 (2.5982) Prec@1 31.250 (36.887) Prec@5 61.875 (67.664) Epoch: [23][8230/11272] Time 0.877 (0.808) Data 0.001 (0.002) Loss 2.4095 (2.5983) Prec@1 42.500 (36.886) Prec@5 68.750 (67.664) Epoch: [23][8240/11272] Time 0.895 (0.808) Data 0.002 (0.002) Loss 2.5278 (2.5983) Prec@1 38.125 (36.886) Prec@5 68.125 (67.662) Epoch: [23][8250/11272] Time 0.763 (0.808) Data 0.001 (0.002) Loss 2.7478 (2.5983) Prec@1 40.625 (36.887) Prec@5 64.375 (67.663) Epoch: [23][8260/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.6602 (2.5983) Prec@1 38.750 (36.887) Prec@5 68.750 (67.663) Epoch: [23][8270/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.5610 (2.5983) Prec@1 35.625 (36.886) Prec@5 67.500 (67.662) Epoch: [23][8280/11272] Time 0.847 (0.808) Data 0.001 (0.002) Loss 2.5766 (2.5983) Prec@1 37.500 (36.886) Prec@5 66.250 (67.662) Epoch: [23][8290/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.6255 (2.5983) Prec@1 34.375 (36.888) Prec@5 64.375 (67.660) Epoch: [23][8300/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.6964 (2.5982) Prec@1 38.750 (36.890) Prec@5 65.625 (67.661) Epoch: [23][8310/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 2.8135 (2.5982) Prec@1 33.125 (36.890) Prec@5 63.125 (67.660) Epoch: [23][8320/11272] Time 0.850 (0.808) Data 0.001 (0.002) Loss 2.2598 (2.5983) Prec@1 45.625 (36.892) Prec@5 73.750 (67.659) Epoch: [23][8330/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.7257 (2.5984) Prec@1 33.125 (36.888) Prec@5 62.500 (67.656) Epoch: [23][8340/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.8173 (2.5984) Prec@1 34.375 (36.888) Prec@5 63.125 (67.654) Epoch: [23][8350/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.6307 (2.5983) Prec@1 36.875 (36.889) Prec@5 65.625 (67.654) Epoch: [23][8360/11272] Time 0.740 (0.808) Data 0.003 (0.002) Loss 2.6839 (2.5983) Prec@1 31.250 (36.890) Prec@5 67.500 (67.654) Epoch: [23][8370/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.7609 (2.5983) Prec@1 33.750 (36.891) Prec@5 67.500 (67.654) Epoch: [23][8380/11272] Time 0.840 (0.808) Data 0.002 (0.002) Loss 2.6320 (2.5983) Prec@1 38.750 (36.892) Prec@5 69.375 (67.655) Epoch: [23][8390/11272] Time 0.895 (0.808) Data 0.001 (0.002) Loss 2.7662 (2.5984) Prec@1 35.000 (36.891) Prec@5 66.250 (67.654) Epoch: [23][8400/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.6613 (2.5983) Prec@1 33.125 (36.893) Prec@5 66.875 (67.653) Epoch: [23][8410/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.3188 (2.5983) Prec@1 40.000 (36.891) Prec@5 71.250 (67.653) Epoch: [23][8420/11272] Time 0.871 (0.808) Data 0.002 (0.002) Loss 2.5446 (2.5982) Prec@1 42.500 (36.893) Prec@5 66.875 (67.655) Epoch: [23][8430/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.5977 (2.5982) Prec@1 37.500 (36.894) Prec@5 68.125 (67.655) Epoch: [23][8440/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.6351 (2.5982) Prec@1 36.875 (36.895) Prec@5 69.375 (67.657) Epoch: [23][8450/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 2.3601 (2.5981) Prec@1 41.875 (36.897) Prec@5 72.500 (67.658) Epoch: [23][8460/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.3800 (2.5981) Prec@1 38.125 (36.896) Prec@5 72.500 (67.658) Epoch: [23][8470/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.7319 (2.5982) Prec@1 35.625 (36.894) Prec@5 64.375 (67.656) Epoch: [23][8480/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.2527 (2.5982) Prec@1 37.500 (36.894) Prec@5 75.000 (67.655) Epoch: [23][8490/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.4889 (2.5983) Prec@1 37.500 (36.895) Prec@5 70.625 (67.654) Epoch: [23][8500/11272] Time 0.887 (0.808) Data 0.002 (0.002) Loss 2.5312 (2.5983) Prec@1 43.750 (36.895) Prec@5 68.750 (67.654) Epoch: [23][8510/11272] Time 0.765 (0.808) Data 0.001 (0.002) Loss 2.4264 (2.5984) Prec@1 36.875 (36.894) Prec@5 71.875 (67.653) Epoch: [23][8520/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 3.0269 (2.5985) Prec@1 30.000 (36.891) Prec@5 60.625 (67.650) Epoch: [23][8530/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.8072 (2.5986) Prec@1 33.125 (36.890) Prec@5 67.500 (67.649) Epoch: [23][8540/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.2235 (2.5985) Prec@1 39.375 (36.891) Prec@5 73.125 (67.651) Epoch: [23][8550/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 2.4458 (2.5985) Prec@1 38.750 (36.890) Prec@5 71.875 (67.649) Epoch: [23][8560/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 2.5452 (2.5985) Prec@1 35.625 (36.890) Prec@5 70.000 (67.650) Epoch: [23][8570/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.5311 (2.5985) Prec@1 41.875 (36.891) Prec@5 68.125 (67.650) Epoch: [23][8580/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.6704 (2.5985) Prec@1 29.375 (36.890) Prec@5 68.750 (67.650) Epoch: [23][8590/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.6045 (2.5986) Prec@1 36.875 (36.890) Prec@5 66.875 (67.650) Epoch: [23][8600/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.8699 (2.5986) Prec@1 30.000 (36.888) Prec@5 60.000 (67.649) Epoch: [23][8610/11272] Time 0.855 (0.808) Data 0.003 (0.002) Loss 2.7897 (2.5985) Prec@1 37.500 (36.890) Prec@5 60.625 (67.650) Epoch: [23][8620/11272] Time 0.907 (0.808) Data 0.002 (0.002) Loss 2.4016 (2.5985) Prec@1 41.250 (36.891) Prec@5 65.625 (67.650) Epoch: [23][8630/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.4940 (2.5985) Prec@1 38.750 (36.892) Prec@5 70.000 (67.652) Epoch: [23][8640/11272] Time 0.884 (0.808) Data 0.002 (0.002) Loss 2.6307 (2.5984) Prec@1 32.500 (36.892) Prec@5 66.875 (67.653) Epoch: [23][8650/11272] Time 0.845 (0.808) Data 0.001 (0.002) Loss 2.9393 (2.5986) Prec@1 32.500 (36.891) Prec@5 61.250 (67.653) Epoch: [23][8660/11272] Time 0.767 (0.808) Data 0.002 (0.002) Loss 2.5891 (2.5986) Prec@1 38.125 (36.889) Prec@5 67.500 (67.654) Epoch: [23][8670/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.5892 (2.5985) Prec@1 36.875 (36.889) Prec@5 68.750 (67.655) Epoch: [23][8680/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.6964 (2.5986) Prec@1 39.375 (36.891) Prec@5 68.750 (67.653) Epoch: [23][8690/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.6203 (2.5985) Prec@1 31.875 (36.893) Prec@5 66.250 (67.653) Epoch: [23][8700/11272] Time 0.761 (0.808) Data 0.002 (0.002) Loss 2.6162 (2.5984) Prec@1 35.000 (36.895) Prec@5 66.875 (67.654) Epoch: [23][8710/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.4605 (2.5983) Prec@1 35.000 (36.895) Prec@5 71.250 (67.654) Epoch: [23][8720/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.4722 (2.5983) Prec@1 42.500 (36.896) Prec@5 68.750 (67.655) Epoch: [23][8730/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.7283 (2.5984) Prec@1 35.625 (36.895) Prec@5 67.500 (67.653) Epoch: [23][8740/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.6050 (2.5985) Prec@1 33.750 (36.894) Prec@5 68.750 (67.652) Epoch: [23][8750/11272] Time 0.760 (0.808) Data 0.002 (0.002) Loss 2.8269 (2.5985) Prec@1 30.000 (36.893) Prec@5 63.750 (67.651) Epoch: [23][8760/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.7578 (2.5986) Prec@1 35.625 (36.892) Prec@5 62.500 (67.651) Epoch: [23][8770/11272] Time 0.757 (0.808) Data 0.001 (0.002) Loss 2.7323 (2.5985) Prec@1 35.000 (36.895) Prec@5 66.250 (67.653) Epoch: [23][8780/11272] Time 0.772 (0.808) Data 0.002 (0.002) Loss 2.6830 (2.5985) Prec@1 38.125 (36.896) Prec@5 66.875 (67.652) Epoch: [23][8790/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.6562 (2.5986) Prec@1 32.500 (36.894) Prec@5 66.250 (67.651) Epoch: [23][8800/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.5625 (2.5985) Prec@1 36.875 (36.893) Prec@5 66.875 (67.652) Epoch: [23][8810/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.5068 (2.5985) Prec@1 40.000 (36.893) Prec@5 68.750 (67.653) Epoch: [23][8820/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.2640 (2.5984) Prec@1 44.375 (36.895) Prec@5 74.375 (67.655) Epoch: [23][8830/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.4079 (2.5983) Prec@1 40.625 (36.895) Prec@5 71.875 (67.657) Epoch: [23][8840/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.8255 (2.5984) Prec@1 38.750 (36.896) Prec@5 63.125 (67.655) Epoch: [23][8850/11272] Time 0.723 (0.808) Data 0.002 (0.002) Loss 2.4076 (2.5984) Prec@1 40.000 (36.894) Prec@5 73.125 (67.654) Epoch: [23][8860/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.3116 (2.5984) Prec@1 38.750 (36.896) Prec@5 75.000 (67.655) Epoch: [23][8870/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 2.5193 (2.5984) Prec@1 36.875 (36.893) Prec@5 69.375 (67.654) Epoch: [23][8880/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.6354 (2.5985) Prec@1 34.375 (36.895) Prec@5 64.375 (67.654) Epoch: [23][8890/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 2.4315 (2.5984) Prec@1 40.625 (36.895) Prec@5 70.625 (67.654) Epoch: [23][8900/11272] Time 0.813 (0.808) Data 0.001 (0.002) Loss 2.5659 (2.5985) Prec@1 39.375 (36.893) Prec@5 63.750 (67.653) Epoch: [23][8910/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.7594 (2.5986) Prec@1 32.500 (36.892) Prec@5 63.750 (67.651) Epoch: [23][8920/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.5745 (2.5986) Prec@1 34.375 (36.889) Prec@5 66.875 (67.652) Epoch: [23][8930/11272] Time 0.751 (0.808) Data 0.001 (0.002) Loss 2.5360 (2.5986) Prec@1 38.125 (36.889) Prec@5 71.250 (67.652) Epoch: [23][8940/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 2.4992 (2.5987) Prec@1 40.625 (36.890) Prec@5 69.375 (67.652) Epoch: [23][8950/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.4278 (2.5986) Prec@1 45.625 (36.892) Prec@5 70.000 (67.653) Epoch: [23][8960/11272] Time 0.708 (0.808) Data 0.001 (0.002) Loss 2.3872 (2.5987) Prec@1 36.875 (36.889) Prec@5 72.500 (67.652) Epoch: [23][8970/11272] Time 0.786 (0.808) Data 0.001 (0.002) Loss 2.5064 (2.5986) Prec@1 34.375 (36.890) Prec@5 65.000 (67.653) Epoch: [23][8980/11272] Time 0.919 (0.808) Data 0.002 (0.002) Loss 2.5056 (2.5986) Prec@1 35.625 (36.891) Prec@5 68.125 (67.654) Epoch: [23][8990/11272] Time 0.837 (0.808) Data 0.001 (0.002) Loss 2.5190 (2.5986) Prec@1 38.125 (36.890) Prec@5 70.000 (67.653) Epoch: [23][9000/11272] Time 0.772 (0.808) Data 0.002 (0.002) Loss 2.4267 (2.5986) Prec@1 40.000 (36.888) Prec@5 70.625 (67.654) Epoch: [23][9010/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.3746 (2.5986) Prec@1 39.375 (36.888) Prec@5 72.500 (67.654) Epoch: [23][9020/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 3.0859 (2.5986) Prec@1 31.875 (36.889) Prec@5 58.125 (67.654) Epoch: [23][9030/11272] Time 0.736 (0.808) Data 0.003 (0.002) Loss 2.7967 (2.5986) Prec@1 30.625 (36.891) Prec@5 67.500 (67.654) Epoch: [23][9040/11272] Time 0.766 (0.808) Data 0.002 (0.002) Loss 2.5242 (2.5987) Prec@1 38.125 (36.890) Prec@5 65.000 (67.653) Epoch: [23][9050/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.5910 (2.5986) Prec@1 36.250 (36.891) Prec@5 69.375 (67.654) Epoch: [23][9060/11272] Time 0.888 (0.808) Data 0.001 (0.002) Loss 2.5565 (2.5987) Prec@1 38.125 (36.891) Prec@5 68.750 (67.654) Epoch: [23][9070/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.7540 (2.5988) Prec@1 35.000 (36.891) Prec@5 64.375 (67.651) Epoch: [23][9080/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.6964 (2.5988) Prec@1 35.625 (36.891) Prec@5 68.750 (67.649) Epoch: [23][9090/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 2.6103 (2.5987) Prec@1 38.750 (36.891) Prec@5 69.375 (67.651) Epoch: [23][9100/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.3570 (2.5987) Prec@1 50.000 (36.894) Prec@5 71.875 (67.652) Epoch: [23][9110/11272] Time 0.783 (0.808) Data 0.002 (0.002) Loss 2.5398 (2.5987) Prec@1 42.500 (36.895) Prec@5 69.375 (67.651) Epoch: [23][9120/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.7049 (2.5987) Prec@1 37.500 (36.893) Prec@5 65.625 (67.650) Epoch: [23][9130/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.8540 (2.5987) Prec@1 32.500 (36.893) Prec@5 59.375 (67.650) Epoch: [23][9140/11272] Time 0.821 (0.808) Data 0.001 (0.002) Loss 2.7864 (2.5988) Prec@1 33.750 (36.891) Prec@5 68.750 (67.648) Epoch: [23][9150/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 2.6243 (2.5988) Prec@1 34.375 (36.891) Prec@5 72.500 (67.649) Epoch: [23][9160/11272] Time 0.845 (0.808) Data 0.002 (0.002) Loss 2.5410 (2.5988) Prec@1 36.250 (36.890) Prec@5 68.750 (67.648) Epoch: [23][9170/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.6824 (2.5988) Prec@1 30.625 (36.890) Prec@5 65.625 (67.650) Epoch: [23][9180/11272] Time 0.775 (0.808) Data 0.001 (0.002) Loss 2.5533 (2.5988) Prec@1 36.875 (36.891) Prec@5 72.500 (67.651) Epoch: [23][9190/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.8348 (2.5988) Prec@1 33.750 (36.892) Prec@5 61.875 (67.652) Epoch: [23][9200/11272] Time 0.898 (0.808) Data 0.001 (0.002) Loss 2.6325 (2.5988) Prec@1 37.500 (36.891) Prec@5 67.500 (67.652) Epoch: [23][9210/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.5571 (2.5989) Prec@1 37.500 (36.889) Prec@5 66.250 (67.649) Epoch: [23][9220/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.8084 (2.5990) Prec@1 31.250 (36.889) Prec@5 61.875 (67.648) Epoch: [23][9230/11272] Time 0.757 (0.808) Data 0.001 (0.002) Loss 2.7650 (2.5989) Prec@1 31.875 (36.891) Prec@5 65.000 (67.649) Epoch: [23][9240/11272] Time 0.919 (0.808) Data 0.002 (0.002) Loss 2.6037 (2.5989) Prec@1 34.375 (36.891) Prec@5 71.250 (67.649) Epoch: [23][9250/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.7005 (2.5989) Prec@1 33.750 (36.890) Prec@5 63.125 (67.649) Epoch: [23][9260/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.5356 (2.5990) Prec@1 40.625 (36.888) Prec@5 67.500 (67.648) Epoch: [23][9270/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.5244 (2.5989) Prec@1 43.125 (36.891) Prec@5 69.375 (67.647) Epoch: [23][9280/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.6640 (2.5989) Prec@1 36.875 (36.893) Prec@5 66.875 (67.648) Epoch: [23][9290/11272] Time 0.745 (0.808) Data 0.004 (0.002) Loss 2.2514 (2.5988) Prec@1 42.500 (36.893) Prec@5 73.750 (67.648) Epoch: [23][9300/11272] Time 0.761 (0.808) Data 0.003 (0.002) Loss 2.9376 (2.5989) Prec@1 33.125 (36.892) Prec@5 63.125 (67.648) Epoch: [23][9310/11272] Time 0.921 (0.808) Data 0.002 (0.002) Loss 2.4349 (2.5989) Prec@1 39.375 (36.892) Prec@5 70.625 (67.650) Epoch: [23][9320/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.6449 (2.5989) Prec@1 35.000 (36.890) Prec@5 65.000 (67.649) Epoch: [23][9330/11272] Time 0.750 (0.808) Data 0.001 (0.002) Loss 2.4903 (2.5989) Prec@1 38.125 (36.890) Prec@5 68.125 (67.650) Epoch: [23][9340/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.5719 (2.5990) Prec@1 31.250 (36.889) Prec@5 68.125 (67.649) Epoch: [23][9350/11272] Time 0.893 (0.808) Data 0.003 (0.002) Loss 2.9951 (2.5989) Prec@1 29.375 (36.890) Prec@5 56.250 (67.649) Epoch: [23][9360/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.7473 (2.5989) Prec@1 34.375 (36.891) Prec@5 65.000 (67.649) Epoch: [23][9370/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.9171 (2.5990) Prec@1 36.250 (36.890) Prec@5 63.750 (67.646) Epoch: [23][9380/11272] Time 0.784 (0.808) Data 0.002 (0.002) Loss 2.7950 (2.5990) Prec@1 33.750 (36.889) Prec@5 64.375 (67.647) Epoch: [23][9390/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.4454 (2.5989) Prec@1 41.250 (36.891) Prec@5 75.000 (67.647) Epoch: [23][9400/11272] Time 0.900 (0.808) Data 0.002 (0.002) Loss 2.7112 (2.5989) Prec@1 40.625 (36.894) Prec@5 65.000 (67.647) Epoch: [23][9410/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 2.5495 (2.5990) Prec@1 43.125 (36.894) Prec@5 67.500 (67.645) Epoch: [23][9420/11272] Time 0.837 (0.808) Data 0.002 (0.002) Loss 2.6025 (2.5990) Prec@1 39.375 (36.895) Prec@5 69.375 (67.644) Epoch: [23][9430/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 2.4057 (2.5990) Prec@1 39.375 (36.896) Prec@5 68.750 (67.645) Epoch: [23][9440/11272] Time 0.767 (0.808) Data 0.001 (0.002) Loss 2.7454 (2.5991) Prec@1 34.375 (36.896) Prec@5 65.000 (67.643) Epoch: [23][9450/11272] Time 0.792 (0.808) Data 0.002 (0.002) Loss 2.6767 (2.5991) Prec@1 36.875 (36.894) Prec@5 67.500 (67.643) Epoch: [23][9460/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.4843 (2.5992) Prec@1 38.125 (36.894) Prec@5 70.625 (67.643) Epoch: [23][9470/11272] Time 0.843 (0.808) Data 0.002 (0.002) Loss 2.8114 (2.5992) Prec@1 30.625 (36.893) Prec@5 64.375 (67.642) Epoch: [23][9480/11272] Time 0.817 (0.808) Data 0.001 (0.002) Loss 2.7894 (2.5993) Prec@1 31.250 (36.890) Prec@5 66.250 (67.642) Epoch: [23][9490/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.4311 (2.5993) Prec@1 40.000 (36.891) Prec@5 71.875 (67.642) Epoch: [23][9500/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.6901 (2.5993) Prec@1 32.500 (36.891) Prec@5 66.250 (67.642) Epoch: [23][9510/11272] Time 0.901 (0.808) Data 0.002 (0.002) Loss 2.3559 (2.5992) Prec@1 39.375 (36.892) Prec@5 69.375 (67.644) Epoch: [23][9520/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.6671 (2.5992) Prec@1 33.750 (36.893) Prec@5 68.125 (67.644) Epoch: [23][9530/11272] Time 0.725 (0.808) Data 0.001 (0.002) Loss 2.6422 (2.5992) Prec@1 34.375 (36.893) Prec@5 65.000 (67.643) Epoch: [23][9540/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.7400 (2.5992) Prec@1 31.250 (36.893) Prec@5 67.500 (67.644) Epoch: [23][9550/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.4597 (2.5992) Prec@1 43.750 (36.894) Prec@5 67.500 (67.643) Epoch: [23][9560/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.5552 (2.5992) Prec@1 37.500 (36.893) Prec@5 69.375 (67.645) Epoch: [23][9570/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.5049 (2.5992) Prec@1 35.625 (36.892) Prec@5 71.250 (67.645) Epoch: [23][9580/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 2.7988 (2.5992) Prec@1 33.750 (36.892) Prec@5 67.500 (67.646) Epoch: [23][9590/11272] Time 0.797 (0.808) Data 0.002 (0.002) Loss 2.8163 (2.5993) Prec@1 31.250 (36.891) Prec@5 62.500 (67.644) Epoch: [23][9600/11272] Time 0.717 (0.808) Data 0.001 (0.002) Loss 2.6334 (2.5994) Prec@1 40.625 (36.890) Prec@5 68.125 (67.642) Epoch: [23][9610/11272] Time 0.823 (0.808) Data 0.001 (0.002) Loss 2.8200 (2.5994) Prec@1 37.500 (36.892) Prec@5 65.625 (67.642) Epoch: [23][9620/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.6303 (2.5994) Prec@1 35.625 (36.893) Prec@5 65.000 (67.642) Epoch: [23][9630/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.7295 (2.5993) Prec@1 33.125 (36.895) Prec@5 66.250 (67.644) Epoch: [23][9640/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.8324 (2.5993) Prec@1 31.250 (36.895) Prec@5 65.625 (67.645) Epoch: [23][9650/11272] Time 0.862 (0.808) Data 0.001 (0.002) Loss 2.7344 (2.5992) Prec@1 30.625 (36.895) Prec@5 61.250 (67.645) Epoch: [23][9660/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.6064 (2.5992) Prec@1 33.750 (36.894) Prec@5 65.000 (67.645) Epoch: [23][9670/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.7975 (2.5992) Prec@1 40.000 (36.896) Prec@5 63.750 (67.645) Epoch: [23][9680/11272] Time 0.773 (0.808) Data 0.002 (0.002) Loss 2.6244 (2.5992) Prec@1 37.500 (36.896) Prec@5 68.750 (67.645) Epoch: [23][9690/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.5681 (2.5993) Prec@1 35.000 (36.895) Prec@5 68.750 (67.646) Epoch: [23][9700/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.4458 (2.5993) Prec@1 40.625 (36.894) Prec@5 69.375 (67.646) Epoch: [23][9710/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.6393 (2.5993) Prec@1 37.500 (36.892) Prec@5 65.000 (67.646) Epoch: [23][9720/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 2.5398 (2.5994) Prec@1 36.875 (36.892) Prec@5 69.375 (67.645) Epoch: [23][9730/11272] Time 0.853 (0.808) Data 0.001 (0.002) Loss 2.6836 (2.5993) Prec@1 35.000 (36.894) Prec@5 63.125 (67.645) Epoch: [23][9740/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.2715 (2.5993) Prec@1 41.875 (36.895) Prec@5 74.375 (67.645) Epoch: [23][9750/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.5897 (2.5994) Prec@1 39.375 (36.893) Prec@5 65.625 (67.644) Epoch: [23][9760/11272] Time 0.927 (0.808) Data 0.002 (0.002) Loss 2.5481 (2.5994) Prec@1 38.750 (36.892) Prec@5 65.000 (67.642) Epoch: [23][9770/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.5300 (2.5995) Prec@1 37.500 (36.891) Prec@5 65.625 (67.640) Epoch: [23][9780/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 2.5559 (2.5995) Prec@1 34.375 (36.890) Prec@5 73.125 (67.642) Epoch: [23][9790/11272] Time 0.732 (0.808) Data 0.002 (0.002) Loss 2.6704 (2.5994) Prec@1 37.500 (36.891) Prec@5 68.125 (67.642) Epoch: [23][9800/11272] Time 0.934 (0.808) Data 0.002 (0.002) Loss 2.6092 (2.5994) Prec@1 29.375 (36.892) Prec@5 65.000 (67.643) Epoch: [23][9810/11272] Time 0.889 (0.808) Data 0.002 (0.002) Loss 2.6452 (2.5994) Prec@1 36.875 (36.891) Prec@5 67.500 (67.642) Epoch: [23][9820/11272] Time 0.749 (0.808) Data 0.001 (0.002) Loss 2.7003 (2.5995) Prec@1 38.125 (36.891) Prec@5 68.125 (67.641) Epoch: [23][9830/11272] Time 0.921 (0.808) Data 0.002 (0.002) Loss 2.5627 (2.5994) Prec@1 38.750 (36.892) Prec@5 66.250 (67.642) Epoch: [23][9840/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.7152 (2.5995) Prec@1 36.250 (36.891) Prec@5 63.750 (67.641) Epoch: [23][9850/11272] Time 0.752 (0.808) Data 0.001 (0.002) Loss 2.5914 (2.5995) Prec@1 34.375 (36.891) Prec@5 66.875 (67.641) Epoch: [23][9860/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.3272 (2.5995) Prec@1 41.250 (36.890) Prec@5 73.125 (67.641) Epoch: [23][9870/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.4462 (2.5994) Prec@1 41.875 (36.892) Prec@5 71.250 (67.642) Epoch: [23][9880/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 2.5430 (2.5994) Prec@1 38.750 (36.895) Prec@5 75.000 (67.643) Epoch: [23][9890/11272] Time 0.778 (0.808) Data 0.002 (0.002) Loss 2.6307 (2.5994) Prec@1 39.375 (36.896) Prec@5 65.625 (67.643) Epoch: [23][9900/11272] Time 0.762 (0.808) Data 0.001 (0.002) Loss 2.5404 (2.5994) Prec@1 36.875 (36.896) Prec@5 70.625 (67.645) Epoch: [23][9910/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.6032 (2.5993) Prec@1 33.750 (36.894) Prec@5 66.875 (67.645) Epoch: [23][9920/11272] Time 0.842 (0.808) Data 0.001 (0.002) Loss 2.8599 (2.5994) Prec@1 33.125 (36.894) Prec@5 59.375 (67.643) Epoch: [23][9930/11272] Time 0.770 (0.808) Data 0.001 (0.002) Loss 2.4472 (2.5994) Prec@1 40.625 (36.894) Prec@5 70.625 (67.643) Epoch: [23][9940/11272] Time 0.731 (0.808) Data 0.001 (0.002) Loss 2.7297 (2.5995) Prec@1 33.750 (36.893) Prec@5 65.625 (67.641) Epoch: [23][9950/11272] Time 0.838 (0.808) Data 0.001 (0.002) Loss 2.7018 (2.5995) Prec@1 30.000 (36.892) Prec@5 67.500 (67.641) Epoch: [23][9960/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 2.6531 (2.5995) Prec@1 38.125 (36.890) Prec@5 65.625 (67.640) Epoch: [23][9970/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.5531 (2.5996) Prec@1 41.250 (36.890) Prec@5 67.500 (67.640) Epoch: [23][9980/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.6086 (2.5996) Prec@1 31.875 (36.889) Prec@5 68.750 (67.639) Epoch: [23][9990/11272] Time 0.854 (0.808) Data 0.001 (0.002) Loss 2.5718 (2.5997) Prec@1 40.000 (36.888) Prec@5 68.125 (67.639) Epoch: [23][10000/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 3.1510 (2.5997) Prec@1 27.500 (36.887) Prec@5 57.500 (67.638) Epoch: [23][10010/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.5363 (2.5996) Prec@1 41.250 (36.888) Prec@5 68.125 (67.640) Epoch: [23][10020/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.5766 (2.5997) Prec@1 36.250 (36.887) Prec@5 68.750 (67.638) Epoch: [23][10030/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.8545 (2.5997) Prec@1 28.125 (36.886) Prec@5 61.250 (67.637) Epoch: [23][10040/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.8433 (2.5997) Prec@1 31.250 (36.886) Prec@5 59.375 (67.637) Epoch: [23][10050/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.7178 (2.5997) Prec@1 36.250 (36.886) Prec@5 66.875 (67.636) Epoch: [23][10060/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 2.5834 (2.5997) Prec@1 38.125 (36.885) Prec@5 71.875 (67.637) Epoch: [23][10070/11272] Time 0.829 (0.808) Data 0.001 (0.002) Loss 2.5082 (2.5997) Prec@1 35.625 (36.885) Prec@5 69.375 (67.637) Epoch: [23][10080/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.5774 (2.5998) Prec@1 40.000 (36.884) Prec@5 66.250 (67.636) Epoch: [23][10090/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.5401 (2.5998) Prec@1 40.625 (36.884) Prec@5 71.250 (67.636) Epoch: [23][10100/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.3959 (2.5998) Prec@1 38.125 (36.885) Prec@5 71.250 (67.637) Epoch: [23][10110/11272] Time 0.769 (0.808) Data 0.001 (0.002) Loss 2.3693 (2.5997) Prec@1 42.500 (36.884) Prec@5 71.250 (67.639) Epoch: [23][10120/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.7910 (2.5997) Prec@1 32.500 (36.883) Prec@5 60.000 (67.637) Epoch: [23][10130/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.5487 (2.5997) Prec@1 42.500 (36.883) Prec@5 72.500 (67.638) Epoch: [23][10140/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.5392 (2.5996) Prec@1 36.875 (36.885) Prec@5 70.000 (67.640) Epoch: [23][10150/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.3921 (2.5996) Prec@1 38.125 (36.887) Prec@5 73.750 (67.641) Epoch: [23][10160/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 2.8600 (2.5996) Prec@1 32.500 (36.887) Prec@5 57.500 (67.640) Epoch: [23][10170/11272] Time 0.901 (0.809) Data 0.002 (0.002) Loss 2.6683 (2.5996) Prec@1 35.625 (36.888) Prec@5 65.625 (67.640) Epoch: [23][10180/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 2.5653 (2.5996) Prec@1 36.875 (36.886) Prec@5 65.000 (67.640) Epoch: [23][10190/11272] Time 0.764 (0.809) Data 0.001 (0.002) Loss 2.3458 (2.5996) Prec@1 36.250 (36.887) Prec@5 70.625 (67.638) Epoch: [23][10200/11272] Time 0.754 (0.809) Data 0.002 (0.002) Loss 2.8604 (2.5997) Prec@1 27.500 (36.884) Prec@5 63.750 (67.637) Epoch: [23][10210/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 2.7792 (2.5998) Prec@1 33.125 (36.884) Prec@5 64.375 (67.634) Epoch: [23][10220/11272] Time 0.730 (0.809) Data 0.003 (0.002) Loss 2.8312 (2.5998) Prec@1 35.625 (36.885) Prec@5 64.375 (67.635) Epoch: [23][10230/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.4996 (2.5997) Prec@1 38.125 (36.885) Prec@5 71.250 (67.634) Epoch: [23][10240/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.3836 (2.5997) Prec@1 41.250 (36.885) Prec@5 71.250 (67.634) Epoch: [23][10250/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.5320 (2.5998) Prec@1 35.000 (36.885) Prec@5 68.125 (67.633) Epoch: [23][10260/11272] Time 0.742 (0.809) Data 0.002 (0.002) Loss 2.7095 (2.5997) Prec@1 36.875 (36.885) Prec@5 65.000 (67.634) Epoch: [23][10270/11272] Time 0.719 (0.809) Data 0.001 (0.002) Loss 2.4879 (2.5997) Prec@1 42.500 (36.886) Prec@5 66.250 (67.634) Epoch: [23][10280/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.5369 (2.5997) Prec@1 33.125 (36.885) Prec@5 72.500 (67.634) Epoch: [23][10290/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.6200 (2.5997) Prec@1 41.875 (36.885) Prec@5 65.000 (67.633) Epoch: [23][10300/11272] Time 0.736 (0.809) Data 0.001 (0.002) Loss 2.7849 (2.5998) Prec@1 35.625 (36.885) Prec@5 65.625 (67.633) Epoch: [23][10310/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.2836 (2.5997) Prec@1 45.000 (36.886) Prec@5 76.875 (67.634) Epoch: [23][10320/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.7877 (2.5998) Prec@1 31.875 (36.885) Prec@5 66.875 (67.633) Epoch: [23][10330/11272] Time 0.870 (0.809) Data 0.001 (0.002) Loss 2.5466 (2.5998) Prec@1 41.250 (36.885) Prec@5 71.250 (67.631) Epoch: [23][10340/11272] Time 0.795 (0.809) Data 0.002 (0.002) Loss 2.7613 (2.5999) Prec@1 34.375 (36.884) Prec@5 68.750 (67.630) Epoch: [23][10350/11272] Time 0.819 (0.809) Data 0.001 (0.002) Loss 2.3351 (2.5998) Prec@1 38.750 (36.884) Prec@5 74.375 (67.631) Epoch: [23][10360/11272] Time 0.843 (0.809) Data 0.001 (0.002) Loss 2.5159 (2.5997) Prec@1 36.250 (36.885) Prec@5 71.875 (67.632) Epoch: [23][10370/11272] Time 0.764 (0.809) Data 0.001 (0.002) Loss 2.5617 (2.5997) Prec@1 36.875 (36.885) Prec@5 66.875 (67.633) Epoch: [23][10380/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.6611 (2.5996) Prec@1 36.250 (36.885) Prec@5 65.000 (67.634) Epoch: [23][10390/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.5296 (2.5996) Prec@1 33.750 (36.883) Prec@5 68.125 (67.634) Epoch: [23][10400/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.2624 (2.5996) Prec@1 42.500 (36.885) Prec@5 74.375 (67.635) Epoch: [23][10410/11272] Time 0.757 (0.809) Data 0.002 (0.002) Loss 2.4873 (2.5995) Prec@1 36.250 (36.886) Prec@5 71.250 (67.636) Epoch: [23][10420/11272] Time 0.777 (0.809) Data 0.002 (0.002) Loss 2.6590 (2.5995) Prec@1 34.375 (36.886) Prec@5 65.625 (67.635) Epoch: [23][10430/11272] Time 0.871 (0.809) Data 0.001 (0.002) Loss 2.7673 (2.5996) Prec@1 30.000 (36.885) Prec@5 68.125 (67.635) Epoch: [23][10440/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.4731 (2.5995) Prec@1 38.750 (36.887) Prec@5 72.500 (67.637) Epoch: [23][10450/11272] Time 0.770 (0.809) Data 0.002 (0.002) Loss 2.7348 (2.5994) Prec@1 33.125 (36.889) Prec@5 63.750 (67.638) Epoch: [23][10460/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.5874 (2.5994) Prec@1 36.250 (36.888) Prec@5 65.625 (67.638) Epoch: [23][10470/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.4874 (2.5995) Prec@1 41.250 (36.887) Prec@5 68.750 (67.637) Epoch: [23][10480/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.6762 (2.5994) Prec@1 33.750 (36.888) Prec@5 65.000 (67.637) Epoch: [23][10490/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.4386 (2.5994) Prec@1 39.375 (36.889) Prec@5 69.375 (67.639) Epoch: [23][10500/11272] Time 0.910 (0.809) Data 0.002 (0.002) Loss 2.5295 (2.5994) Prec@1 40.000 (36.889) Prec@5 66.875 (67.638) Epoch: [23][10510/11272] Time 0.847 (0.809) Data 0.001 (0.002) Loss 2.6154 (2.5994) Prec@1 37.500 (36.889) Prec@5 67.500 (67.637) Epoch: [23][10520/11272] Time 0.761 (0.809) Data 0.002 (0.002) Loss 2.5740 (2.5994) Prec@1 36.875 (36.889) Prec@5 70.000 (67.639) Epoch: [23][10530/11272] Time 0.757 (0.809) Data 0.002 (0.002) Loss 2.7954 (2.5995) Prec@1 33.750 (36.886) Prec@5 60.000 (67.638) Epoch: [23][10540/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.6537 (2.5995) Prec@1 36.875 (36.886) Prec@5 64.375 (67.637) Epoch: [23][10550/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.7173 (2.5995) Prec@1 30.625 (36.884) Prec@5 66.875 (67.637) Epoch: [23][10560/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 2.7373 (2.5994) Prec@1 38.125 (36.884) Prec@5 63.750 (67.639) Epoch: [23][10570/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.3845 (2.5994) Prec@1 40.000 (36.884) Prec@5 71.250 (67.640) Epoch: [23][10580/11272] Time 0.999 (0.809) Data 0.002 (0.002) Loss 2.7108 (2.5994) Prec@1 38.750 (36.885) Prec@5 65.625 (67.639) Epoch: [23][10590/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.5913 (2.5994) Prec@1 33.125 (36.885) Prec@5 63.750 (67.639) Epoch: [23][10600/11272] Time 0.739 (0.809) Data 0.001 (0.002) Loss 2.5785 (2.5994) Prec@1 36.875 (36.886) Prec@5 71.875 (67.639) Epoch: [23][10610/11272] Time 0.707 (0.809) Data 0.001 (0.002) Loss 2.2417 (2.5995) Prec@1 45.000 (36.885) Prec@5 71.875 (67.638) Epoch: [23][10620/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.4198 (2.5994) Prec@1 40.625 (36.884) Prec@5 72.500 (67.639) Epoch: [23][10630/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.5946 (2.5994) Prec@1 31.250 (36.883) Prec@5 71.250 (67.640) Epoch: [23][10640/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 3.0811 (2.5994) Prec@1 33.750 (36.883) Prec@5 60.000 (67.641) Epoch: [23][10650/11272] Time 0.857 (0.809) Data 0.001 (0.002) Loss 2.3524 (2.5994) Prec@1 41.250 (36.883) Prec@5 70.625 (67.642) Epoch: [23][10660/11272] Time 0.848 (0.809) Data 0.001 (0.002) Loss 2.5542 (2.5994) Prec@1 33.750 (36.884) Prec@5 70.000 (67.642) Epoch: [23][10670/11272] Time 0.775 (0.809) Data 0.002 (0.002) Loss 2.2233 (2.5994) Prec@1 44.375 (36.883) Prec@5 75.625 (67.641) Epoch: [23][10680/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.7726 (2.5994) Prec@1 36.250 (36.883) Prec@5 63.125 (67.640) Epoch: [23][10690/11272] Time 0.875 (0.809) Data 0.002 (0.002) Loss 2.5598 (2.5995) Prec@1 36.250 (36.882) Prec@5 67.500 (67.638) Epoch: [23][10700/11272] Time 0.912 (0.809) Data 0.002 (0.002) Loss 2.3870 (2.5995) Prec@1 42.500 (36.881) Prec@5 74.375 (67.638) Epoch: [23][10710/11272] Time 0.759 (0.809) Data 0.001 (0.002) Loss 2.4454 (2.5995) Prec@1 36.875 (36.880) Prec@5 70.625 (67.638) Epoch: [23][10720/11272] Time 0.774 (0.809) Data 0.002 (0.002) Loss 2.6438 (2.5995) Prec@1 36.250 (36.881) Prec@5 65.625 (67.638) Epoch: [23][10730/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 2.4405 (2.5995) Prec@1 38.125 (36.880) Prec@5 74.375 (67.638) Epoch: [23][10740/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.4943 (2.5996) Prec@1 36.875 (36.879) Prec@5 70.625 (67.636) Epoch: [23][10750/11272] Time 0.750 (0.809) Data 0.002 (0.002) Loss 2.5908 (2.5996) Prec@1 33.750 (36.878) Prec@5 68.750 (67.637) Epoch: [23][10760/11272] Time 0.849 (0.809) Data 0.002 (0.002) Loss 2.6067 (2.5996) Prec@1 35.625 (36.878) Prec@5 67.500 (67.637) Epoch: [23][10770/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 2.5260 (2.5996) Prec@1 38.750 (36.878) Prec@5 68.750 (67.637) Epoch: [23][10780/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 2.5555 (2.5996) Prec@1 39.375 (36.877) Prec@5 65.625 (67.636) Epoch: [23][10790/11272] Time 0.733 (0.809) Data 0.001 (0.002) Loss 2.4672 (2.5996) Prec@1 40.000 (36.880) Prec@5 67.500 (67.637) Epoch: [23][10800/11272] Time 0.864 (0.809) Data 0.001 (0.002) Loss 2.5949 (2.5996) Prec@1 34.375 (36.880) Prec@5 65.625 (67.637) Epoch: [23][10810/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 2.4369 (2.5995) Prec@1 43.125 (36.881) Prec@5 70.000 (67.637) Epoch: [23][10820/11272] Time 0.737 (0.809) Data 0.001 (0.002) Loss 2.5907 (2.5995) Prec@1 38.750 (36.882) Prec@5 65.625 (67.637) Epoch: [23][10830/11272] Time 0.753 (0.809) Data 0.001 (0.002) Loss 2.6894 (2.5994) Prec@1 38.125 (36.884) Prec@5 67.500 (67.639) Epoch: [23][10840/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.4899 (2.5995) Prec@1 40.625 (36.882) Prec@5 69.375 (67.637) Epoch: [23][10850/11272] Time 0.853 (0.809) Data 0.002 (0.002) Loss 2.8355 (2.5995) Prec@1 30.000 (36.881) Prec@5 61.875 (67.637) Epoch: [23][10860/11272] Time 0.748 (0.809) Data 0.001 (0.002) Loss 2.5002 (2.5995) Prec@1 39.375 (36.880) Prec@5 71.875 (67.636) Epoch: [23][10870/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.6676 (2.5996) Prec@1 36.875 (36.879) Prec@5 70.000 (67.636) Epoch: [23][10880/11272] Time 0.868 (0.809) Data 0.001 (0.002) Loss 2.7428 (2.5996) Prec@1 36.875 (36.879) Prec@5 67.500 (67.636) Epoch: [23][10890/11272] Time 0.753 (0.809) Data 0.003 (0.002) Loss 2.4642 (2.5996) Prec@1 36.250 (36.879) Prec@5 69.375 (67.636) Epoch: [23][10900/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.5234 (2.5996) Prec@1 39.375 (36.880) Prec@5 69.375 (67.637) Epoch: [23][10910/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 2.5147 (2.5995) Prec@1 40.625 (36.880) Prec@5 70.625 (67.639) Epoch: [23][10920/11272] Time 0.920 (0.809) Data 0.002 (0.002) Loss 2.5780 (2.5994) Prec@1 37.500 (36.881) Prec@5 66.875 (67.640) Epoch: [23][10930/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.7300 (2.5994) Prec@1 31.875 (36.880) Prec@5 73.125 (67.641) Epoch: [23][10940/11272] Time 0.753 (0.809) Data 0.002 (0.002) Loss 2.7462 (2.5994) Prec@1 36.250 (36.879) Prec@5 63.750 (67.641) Epoch: [23][10950/11272] Time 0.844 (0.809) Data 0.002 (0.002) Loss 2.5333 (2.5994) Prec@1 38.125 (36.879) Prec@5 65.000 (67.640) Epoch: [23][10960/11272] Time 0.872 (0.809) Data 0.002 (0.002) Loss 2.5808 (2.5995) Prec@1 35.000 (36.880) Prec@5 68.125 (67.639) Epoch: [23][10970/11272] Time 0.744 (0.809) Data 0.002 (0.002) Loss 2.5715 (2.5995) Prec@1 41.875 (36.880) Prec@5 68.125 (67.639) Epoch: [23][10980/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.6380 (2.5995) Prec@1 33.125 (36.880) Prec@5 69.375 (67.639) Epoch: [23][10990/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.2083 (2.5995) Prec@1 43.750 (36.880) Prec@5 72.500 (67.638) Epoch: [23][11000/11272] Time 0.850 (0.809) Data 0.002 (0.002) Loss 2.5420 (2.5995) Prec@1 32.500 (36.880) Prec@5 69.375 (67.638) Epoch: [23][11010/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.7889 (2.5996) Prec@1 36.250 (36.879) Prec@5 66.250 (67.637) Epoch: [23][11020/11272] Time 0.892 (0.809) Data 0.002 (0.002) Loss 2.5799 (2.5996) Prec@1 35.625 (36.878) Prec@5 67.500 (67.637) Epoch: [23][11030/11272] Time 0.829 (0.809) Data 0.002 (0.002) Loss 2.5841 (2.5995) Prec@1 35.625 (36.879) Prec@5 66.875 (67.638) Epoch: [23][11040/11272] Time 0.756 (0.809) Data 0.001 (0.002) Loss 2.4999 (2.5996) Prec@1 35.625 (36.878) Prec@5 71.875 (67.637) Epoch: [23][11050/11272] Time 0.769 (0.809) Data 0.002 (0.002) Loss 2.4907 (2.5996) Prec@1 40.625 (36.877) Prec@5 68.750 (67.638) Epoch: [23][11060/11272] Time 0.849 (0.809) Data 0.002 (0.002) Loss 2.3795 (2.5996) Prec@1 40.000 (36.877) Prec@5 68.125 (67.638) Epoch: [23][11070/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.4564 (2.5995) Prec@1 41.875 (36.878) Prec@5 73.125 (67.639) Epoch: [23][11080/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.6994 (2.5995) Prec@1 37.500 (36.879) Prec@5 66.875 (67.639) Epoch: [23][11090/11272] Time 0.763 (0.809) Data 0.001 (0.002) Loss 2.4844 (2.5995) Prec@1 36.875 (36.879) Prec@5 71.875 (67.641) Epoch: [23][11100/11272] Time 0.836 (0.809) Data 0.001 (0.002) Loss 2.3596 (2.5995) Prec@1 38.750 (36.880) Prec@5 72.500 (67.641) Epoch: [23][11110/11272] Time 0.886 (0.809) Data 0.002 (0.002) Loss 2.4158 (2.5994) Prec@1 43.125 (36.880) Prec@5 68.750 (67.642) Epoch: [23][11120/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.5753 (2.5995) Prec@1 37.500 (36.879) Prec@5 64.375 (67.640) Epoch: [23][11130/11272] Time 0.731 (0.809) Data 0.001 (0.002) Loss 2.5134 (2.5995) Prec@1 38.125 (36.877) Prec@5 68.125 (67.639) Epoch: [23][11140/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 2.4259 (2.5996) Prec@1 41.250 (36.877) Prec@5 71.250 (67.638) Epoch: [23][11150/11272] Time 0.746 (0.809) Data 0.004 (0.002) Loss 2.7395 (2.5997) Prec@1 33.750 (36.876) Prec@5 68.125 (67.636) Epoch: [23][11160/11272] Time 0.737 (0.809) Data 0.002 (0.002) Loss 2.6170 (2.5996) Prec@1 36.250 (36.877) Prec@5 65.000 (67.637) Epoch: [23][11170/11272] Time 0.862 (0.809) Data 0.002 (0.002) Loss 2.3906 (2.5996) Prec@1 40.625 (36.876) Prec@5 80.625 (67.637) Epoch: [23][11180/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.6530 (2.5997) Prec@1 37.500 (36.876) Prec@5 65.000 (67.636) Epoch: [23][11190/11272] Time 0.738 (0.809) Data 0.001 (0.002) Loss 2.5758 (2.5997) Prec@1 34.375 (36.875) Prec@5 68.125 (67.635) Epoch: [23][11200/11272] Time 0.735 (0.809) Data 0.002 (0.002) Loss 2.4239 (2.5996) Prec@1 36.250 (36.874) Prec@5 69.375 (67.636) Epoch: [23][11210/11272] Time 0.844 (0.809) Data 0.002 (0.002) Loss 2.4604 (2.5996) Prec@1 37.500 (36.875) Prec@5 71.875 (67.636) Epoch: [23][11220/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.4648 (2.5996) Prec@1 41.875 (36.874) Prec@5 72.500 (67.636) Epoch: [23][11230/11272] Time 0.763 (0.809) Data 0.003 (0.002) Loss 2.5352 (2.5996) Prec@1 37.500 (36.876) Prec@5 65.625 (67.636) Epoch: [23][11240/11272] Time 0.753 (0.809) Data 0.003 (0.002) Loss 2.7279 (2.5996) Prec@1 33.125 (36.877) Prec@5 65.625 (67.635) Epoch: [23][11250/11272] Time 0.845 (0.809) Data 0.002 (0.002) Loss 2.6414 (2.5995) Prec@1 33.750 (36.877) Prec@5 67.500 (67.635) Epoch: [23][11260/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.7539 (2.5995) Prec@1 33.125 (36.879) Prec@5 61.875 (67.635) Epoch: [23][11270/11272] Time 0.724 (0.809) Data 0.000 (0.002) Loss 2.4556 (2.5995) Prec@1 38.125 (36.880) Prec@5 68.125 (67.635) Test: [0/229] Time 1.345 (1.345) Loss 0.9347 (0.9347) Prec@1 75.625 (75.625) Prec@5 93.750 (93.750) Test: [10/229] Time 0.425 (0.483) Loss 2.0117 (2.2265) Prec@1 39.375 (42.727) Prec@5 87.500 (77.557) Test: [20/229] Time 0.345 (0.435) Loss 2.5105 (2.2935) Prec@1 36.250 (41.964) Prec@5 73.125 (75.476) Test: [30/229] Time 0.349 (0.420) Loss 2.1570 (2.1885) Prec@1 33.750 (44.073) Prec@5 80.000 (76.895) Test: [40/229] Time 0.438 (0.411) Loss 1.5275 (2.2379) Prec@1 68.750 (43.232) Prec@5 83.125 (75.534) Test: [50/229] Time 0.337 (0.402) Loss 2.8853 (2.2927) Prec@1 28.125 (42.463) Prec@5 63.125 (74.216) Test: [60/229] Time 0.418 (0.399) Loss 2.5130 (2.2835) Prec@1 33.125 (42.469) Prec@5 70.000 (74.252) Test: [70/229] Time 0.352 (0.397) Loss 1.4176 (2.2640) Prec@1 66.250 (42.975) Prec@5 88.125 (74.560) Test: [80/229] Time 0.419 (0.396) Loss 2.4080 (2.2830) Prec@1 32.500 (42.284) Prec@5 78.125 (74.715) Test: [90/229] Time 0.396 (0.394) Loss 2.2235 (2.2994) Prec@1 51.875 (41.971) Prec@5 71.875 (74.567) Test: [100/229] Time 0.375 (0.395) Loss 2.3533 (2.2735) Prec@1 45.625 (42.519) Prec@5 77.500 (75.019) Test: [110/229] Time 0.442 (0.394) Loss 1.8685 (2.2424) Prec@1 46.875 (43.238) Prec@5 82.500 (75.484) Test: [120/229] Time 0.357 (0.393) Loss 2.8139 (2.2511) Prec@1 24.375 (42.763) Prec@5 70.625 (75.356) Test: [130/229] Time 0.431 (0.392) Loss 2.2128 (2.2428) Prec@1 45.000 (43.020) Prec@5 77.500 (75.558) Test: [140/229] Time 0.348 (0.391) Loss 2.4200 (2.2577) Prec@1 39.375 (42.571) Prec@5 73.125 (75.465) Test: [150/229] Time 0.475 (0.391) Loss 1.8929 (2.2733) Prec@1 55.000 (42.248) Prec@5 77.500 (75.273) Test: [160/229] Time 0.420 (0.390) Loss 2.2214 (2.2639) Prec@1 47.500 (42.407) Prec@5 80.000 (75.435) Test: [170/229] Time 0.334 (0.388) Loss 3.0789 (2.2883) Prec@1 26.250 (41.817) Prec@5 63.125 (74.945) Test: [180/229] Time 0.405 (0.388) Loss 3.5110 (2.3105) Prec@1 13.750 (41.592) Prec@5 43.125 (74.337) Test: [190/229] Time 0.336 (0.387) Loss 2.2324 (2.3016) Prec@1 34.375 (41.672) Prec@5 83.125 (74.535) Test: [200/229] Time 0.418 (0.386) Loss 2.1840 (2.2816) Prec@1 42.500 (42.052) Prec@5 76.250 (74.988) Test: [210/229] Time 0.335 (0.385) Loss 1.2834 (2.2704) Prec@1 66.875 (42.281) Prec@5 88.750 (75.195) Test: [220/229] Time 0.358 (0.385) Loss 2.2599 (2.2637) Prec@1 43.125 (42.574) Prec@5 75.625 (75.271) * Prec@1 42.851 Prec@5 75.371 Epoch: [24][0/11272] Time 2.821 (2.821) Data 1.945 (1.945) Loss 2.5674 (2.5674) Prec@1 38.125 (38.125) Prec@5 66.250 (66.250) Epoch: [24][10/11272] Time 0.750 (0.993) Data 0.002 (0.178) Loss 2.4469 (2.5532) Prec@1 43.125 (38.011) Prec@5 68.750 (68.636) Epoch: [24][20/11272] Time 0.845 (0.910) Data 0.002 (0.094) Loss 2.7188 (2.5924) Prec@1 36.250 (37.589) Prec@5 63.125 (67.738) Epoch: [24][30/11272] Time 0.848 (0.873) Data 0.002 (0.064) Loss 2.5902 (2.5982) Prec@1 39.375 (37.359) Prec@5 64.375 (67.823) Epoch: [24][40/11272] Time 0.759 (0.859) Data 0.002 (0.049) Loss 2.5572 (2.5890) Prec@1 35.000 (37.256) Prec@5 70.000 (68.247) Epoch: [24][50/11272] Time 0.760 (0.849) Data 0.002 (0.040) Loss 2.7624 (2.5772) Prec@1 30.625 (37.230) Prec@5 63.750 (68.419) Epoch: [24][60/11272] Time 0.846 (0.844) Data 0.002 (0.033) Loss 2.4509 (2.5722) Prec@1 35.625 (37.316) Prec@5 70.625 (68.545) Epoch: [24][70/11272] Time 0.899 (0.839) Data 0.002 (0.029) Loss 2.6874 (2.5788) Prec@1 30.625 (37.254) Prec@5 63.750 (68.292) Epoch: [24][80/11272] Time 0.756 (0.836) Data 0.001 (0.026) Loss 2.5446 (2.5880) Prec@1 39.375 (36.968) Prec@5 68.125 (68.194) Epoch: [24][90/11272] Time 0.841 (0.833) Data 0.001 (0.023) Loss 2.6027 (2.5835) Prec@1 38.125 (37.033) Prec@5 66.250 (68.111) Epoch: [24][100/11272] Time 0.850 (0.830) Data 0.002 (0.021) Loss 2.7062 (2.5809) Prec@1 35.000 (37.048) Prec@5 65.625 (68.082) Epoch: [24][110/11272] Time 0.762 (0.826) Data 0.002 (0.019) Loss 2.2838 (2.5699) Prec@1 45.000 (37.264) Prec@5 73.125 (68.288) Epoch: [24][120/11272] Time 0.736 (0.825) Data 0.001 (0.018) Loss 2.6502 (2.5707) Prec@1 33.125 (37.262) Prec@5 66.250 (68.295) Epoch: [24][130/11272] Time 0.906 (0.824) Data 0.002 (0.016) Loss 2.8749 (2.5776) Prec@1 34.375 (37.142) Prec@5 65.625 (68.173) Epoch: [24][140/11272] Time 0.881 (0.824) Data 0.002 (0.015) Loss 2.5804 (2.5763) Prec@1 41.250 (37.141) Prec@5 70.000 (68.262) Epoch: [24][150/11272] Time 0.753 (0.823) Data 0.002 (0.015) Loss 2.5457 (2.5734) Prec@1 31.875 (37.140) Prec@5 66.250 (68.278) Epoch: [24][160/11272] Time 0.784 (0.823) Data 0.002 (0.014) Loss 2.6801 (2.5739) Prec@1 37.500 (37.135) Prec@5 66.875 (68.226) Epoch: [24][170/11272] Time 0.939 (0.825) Data 0.002 (0.013) Loss 2.4746 (2.5733) Prec@1 40.000 (37.131) Prec@5 72.500 (68.260) Epoch: [24][180/11272] Time 0.882 (0.825) Data 0.001 (0.012) Loss 2.3087 (2.5701) Prec@1 40.000 (37.227) Prec@5 73.750 (68.291) Epoch: [24][190/11272] Time 0.752 (0.825) Data 0.001 (0.012) Loss 2.4414 (2.5742) Prec@1 36.250 (37.212) Prec@5 66.250 (68.141) Epoch: [24][200/11272] Time 0.743 (0.826) Data 0.002 (0.011) Loss 2.5538 (2.5767) Prec@1 37.500 (37.195) Prec@5 65.625 (68.100) Epoch: [24][210/11272] Time 0.901 (0.826) Data 0.002 (0.011) Loss 2.4122 (2.5774) Prec@1 40.000 (37.148) Prec@5 73.125 (68.128) Epoch: [24][220/11272] Time 0.754 (0.825) Data 0.004 (0.010) Loss 2.4916 (2.5797) Prec@1 43.750 (37.132) Prec@5 71.250 (68.063) Epoch: [24][230/11272] Time 0.760 (0.825) Data 0.002 (0.010) Loss 2.5780 (2.5804) Prec@1 45.625 (37.121) Prec@5 66.875 (68.038) Epoch: [24][240/11272] Time 0.868 (0.824) Data 0.002 (0.010) Loss 2.6918 (2.5819) Prec@1 31.250 (37.077) Prec@5 65.625 (68.021) Epoch: [24][250/11272] Time 0.835 (0.824) Data 0.001 (0.009) Loss 2.7527 (2.5819) Prec@1 33.750 (37.117) Prec@5 63.125 (68.030) Epoch: [24][260/11272] Time 0.743 (0.824) Data 0.001 (0.009) Loss 2.7510 (2.5825) Prec@1 35.000 (37.162) Prec@5 63.750 (68.022) Epoch: [24][270/11272] Time 0.753 (0.824) Data 0.002 (0.009) Loss 2.6393 (2.5882) Prec@1 35.625 (37.027) Prec@5 70.000 (67.938) Epoch: [24][280/11272] Time 0.914 (0.824) Data 0.002 (0.009) Loss 2.4748 (2.5890) Prec@1 38.750 (37.004) Prec@5 70.000 (67.920) Epoch: [24][290/11272] Time 0.820 (0.824) Data 0.001 (0.008) Loss 2.3941 (2.5879) Prec@1 42.500 (37.088) Prec@5 68.125 (67.908) Epoch: [24][300/11272] Time 0.736 (0.823) Data 0.001 (0.008) Loss 2.6022 (2.5875) Prec@1 36.875 (37.101) Prec@5 66.250 (67.905) Epoch: [24][310/11272] Time 0.777 (0.823) Data 0.002 (0.008) Loss 2.6500 (2.5850) Prec@1 39.375 (37.199) Prec@5 66.875 (67.914) Epoch: [24][320/11272] Time 0.890 (0.823) Data 0.001 (0.008) Loss 2.8476 (2.5847) Prec@1 32.500 (37.218) Prec@5 63.125 (67.911) Epoch: [24][330/11272] Time 0.881 (0.823) Data 0.001 (0.008) Loss 2.3680 (2.5833) Prec@1 41.875 (37.302) Prec@5 73.125 (67.917) Epoch: [24][340/11272] Time 0.773 (0.823) Data 0.002 (0.007) Loss 2.4274 (2.5822) Prec@1 37.500 (37.286) Prec@5 70.625 (67.949) Epoch: [24][350/11272] Time 0.918 (0.823) Data 0.002 (0.007) Loss 2.4175 (2.5828) Prec@1 41.250 (37.283) Prec@5 67.500 (67.943) Epoch: [24][360/11272] Time 0.909 (0.823) Data 0.005 (0.007) Loss 2.7695 (2.5839) Prec@1 34.375 (37.256) Prec@5 58.750 (67.919) Epoch: [24][370/11272] Time 0.768 (0.823) Data 0.002 (0.007) Loss 2.8727 (2.5842) Prec@1 32.500 (37.276) Prec@5 63.125 (67.925) Epoch: [24][380/11272] Time 0.758 (0.823) Data 0.002 (0.007) Loss 2.7647 (2.5852) Prec@1 30.000 (37.257) Prec@5 66.875 (67.885) Epoch: [24][390/11272] Time 0.828 (0.823) Data 0.001 (0.007) Loss 2.7086 (2.5859) Prec@1 35.000 (37.255) Prec@5 68.125 (67.904) Epoch: [24][400/11272] Time 0.902 (0.823) Data 0.002 (0.007) Loss 2.5777 (2.5876) Prec@1 38.125 (37.221) Prec@5 70.625 (67.876) Epoch: [24][410/11272] Time 0.736 (0.823) Data 0.001 (0.006) Loss 2.5618 (2.5863) Prec@1 35.000 (37.257) Prec@5 70.625 (67.909) Epoch: [24][420/11272] Time 0.758 (0.823) Data 0.001 (0.006) Loss 2.8649 (2.5875) Prec@1 31.250 (37.245) Prec@5 63.125 (67.873) Epoch: [24][430/11272] Time 0.884 (0.823) Data 0.002 (0.006) Loss 2.6734 (2.5887) Prec@1 32.500 (37.236) Prec@5 68.125 (67.863) Epoch: [24][440/11272] Time 0.852 (0.823) Data 0.001 (0.006) Loss 2.6613 (2.5887) Prec@1 37.500 (37.222) Prec@5 67.500 (67.874) Epoch: [24][450/11272] Time 0.752 (0.823) Data 0.002 (0.006) Loss 2.5622 (2.5876) Prec@1 35.625 (37.238) Prec@5 66.250 (67.881) Epoch: [24][460/11272] Time 0.760 (0.823) Data 0.002 (0.006) Loss 2.7598 (2.5879) Prec@1 34.375 (37.252) Prec@5 65.000 (67.861) Epoch: [24][470/11272] Time 0.871 (0.824) Data 0.002 (0.006) Loss 2.5911 (2.5902) Prec@1 41.875 (37.192) Prec@5 70.625 (67.822) Epoch: [24][480/11272] Time 0.755 (0.823) Data 0.004 (0.006) Loss 2.3860 (2.5900) Prec@1 43.125 (37.193) Prec@5 71.250 (67.843) Epoch: [24][490/11272] Time 0.794 (0.823) Data 0.002 (0.006) Loss 2.4647 (2.5901) Prec@1 38.125 (37.220) Prec@5 70.625 (67.826) Epoch: [24][500/11272] Time 0.838 (0.823) Data 0.002 (0.006) Loss 2.5813 (2.5880) Prec@1 38.750 (37.257) Prec@5 68.750 (67.848) Epoch: [24][510/11272] Time 0.885 (0.823) Data 0.002 (0.005) Loss 2.7233 (2.5879) Prec@1 35.625 (37.250) Prec@5 65.000 (67.840) Epoch: [24][520/11272] Time 0.751 (0.823) Data 0.001 (0.005) Loss 2.3333 (2.5878) Prec@1 40.000 (37.223) Prec@5 68.750 (67.826) Epoch: [24][530/11272] Time 0.787 (0.823) Data 0.001 (0.005) Loss 2.6638 (2.5887) Prec@1 36.875 (37.221) Prec@5 65.000 (67.793) Epoch: [24][540/11272] Time 0.886 (0.823) Data 0.002 (0.005) Loss 2.6570 (2.5894) Prec@1 35.000 (37.204) Prec@5 65.625 (67.760) Epoch: [24][550/11272] Time 0.867 (0.823) Data 0.002 (0.005) Loss 2.3585 (2.5892) Prec@1 38.750 (37.220) Prec@5 75.625 (67.776) Epoch: [24][560/11272] Time 0.762 (0.823) Data 0.002 (0.005) Loss 2.6830 (2.5886) Prec@1 33.750 (37.216) Prec@5 61.875 (67.775) Epoch: [24][570/11272] Time 0.733 (0.823) Data 0.001 (0.005) Loss 2.5463 (2.5875) Prec@1 41.875 (37.241) Prec@5 66.250 (67.783) Epoch: [24][580/11272] Time 0.837 (0.823) Data 0.001 (0.005) Loss 2.5496 (2.5884) Prec@1 34.375 (37.219) Prec@5 68.125 (67.752) Epoch: [24][590/11272] Time 0.810 (0.822) Data 0.002 (0.005) Loss 2.4223 (2.5871) Prec@1 37.500 (37.230) Prec@5 73.125 (67.776) Epoch: [24][600/11272] Time 0.721 (0.822) Data 0.001 (0.005) Loss 2.6477 (2.5885) Prec@1 34.375 (37.214) Prec@5 67.500 (67.736) Epoch: [24][610/11272] Time 0.845 (0.822) Data 0.002 (0.005) Loss 2.6633 (2.5876) Prec@1 42.500 (37.253) Prec@5 66.875 (67.758) Epoch: [24][620/11272] Time 0.864 (0.822) Data 0.002 (0.005) Loss 2.7548 (2.5874) Prec@1 34.375 (37.239) Prec@5 62.500 (67.769) Epoch: [24][630/11272] Time 0.743 (0.823) Data 0.002 (0.005) Loss 2.5959 (2.5873) Prec@1 34.375 (37.228) Prec@5 70.625 (67.769) Epoch: [24][640/11272] Time 0.745 (0.822) Data 0.001 (0.005) Loss 2.6672 (2.5878) Prec@1 36.875 (37.236) Prec@5 62.500 (67.747) Epoch: [24][650/11272] Time 0.891 (0.823) Data 0.002 (0.005) Loss 2.6868 (2.5888) Prec@1 39.375 (37.237) Prec@5 69.375 (67.728) Epoch: [24][660/11272] Time 0.887 (0.823) Data 0.002 (0.005) Loss 2.5773 (2.5882) Prec@1 41.875 (37.262) Prec@5 66.875 (67.753) Epoch: [24][670/11272] Time 0.734 (0.822) Data 0.001 (0.005) Loss 2.5415 (2.5872) Prec@1 41.250 (37.277) Prec@5 67.500 (67.788) Epoch: [24][680/11272] Time 0.724 (0.822) Data 0.001 (0.005) Loss 2.6043 (2.5864) Prec@1 31.250 (37.271) Prec@5 66.250 (67.797) Epoch: [24][690/11272] Time 0.916 (0.822) Data 0.002 (0.004) Loss 2.6316 (2.5865) Prec@1 35.625 (37.274) Prec@5 71.875 (67.812) Epoch: [24][700/11272] Time 0.875 (0.822) Data 0.002 (0.004) Loss 2.7531 (2.5865) Prec@1 36.875 (37.269) Prec@5 68.125 (67.812) Epoch: [24][710/11272] Time 0.768 (0.822) Data 0.002 (0.004) Loss 2.8626 (2.5869) Prec@1 31.875 (37.253) Prec@5 58.125 (67.784) Epoch: [24][720/11272] Time 0.737 (0.822) Data 0.002 (0.004) Loss 2.6799 (2.5870) Prec@1 33.125 (37.262) Prec@5 66.875 (67.769) Epoch: [24][730/11272] Time 0.821 (0.822) Data 0.001 (0.004) Loss 2.6413 (2.5867) Prec@1 35.625 (37.265) Prec@5 68.750 (67.772) Epoch: [24][740/11272] Time 0.884 (0.822) Data 0.002 (0.004) Loss 2.3214 (2.5870) Prec@1 39.375 (37.262) Prec@5 74.375 (67.772) Epoch: [24][750/11272] Time 0.757 (0.822) Data 0.002 (0.004) Loss 2.5846 (2.5861) Prec@1 40.625 (37.288) Prec@5 65.625 (67.786) Epoch: [24][760/11272] Time 0.876 (0.822) Data 0.002 (0.004) Loss 2.6424 (2.5866) Prec@1 36.875 (37.273) Prec@5 66.250 (67.769) Epoch: [24][770/11272] Time 0.827 (0.822) Data 0.001 (0.004) Loss 2.9011 (2.5864) Prec@1 27.500 (37.289) Prec@5 59.375 (67.761) Epoch: [24][780/11272] Time 0.777 (0.821) Data 0.002 (0.004) Loss 2.8176 (2.5878) Prec@1 37.500 (37.277) Prec@5 66.250 (67.723) Epoch: [24][790/11272] Time 0.782 (0.821) Data 0.002 (0.004) Loss 2.4930 (2.5868) Prec@1 32.500 (37.282) Prec@5 70.625 (67.740) Epoch: [24][800/11272] Time 0.849 (0.821) Data 0.001 (0.004) Loss 2.3188 (2.5869) Prec@1 46.875 (37.285) Prec@5 71.250 (67.739) Epoch: [24][810/11272] Time 0.881 (0.821) Data 0.001 (0.004) Loss 2.5409 (2.5866) Prec@1 41.250 (37.295) Prec@5 68.750 (67.747) Epoch: [24][820/11272] Time 0.735 (0.821) Data 0.001 (0.004) Loss 2.6165 (2.5867) Prec@1 38.125 (37.295) Prec@5 70.000 (67.756) Epoch: [24][830/11272] Time 0.737 (0.821) Data 0.001 (0.004) Loss 2.4965 (2.5881) Prec@1 41.250 (37.290) Prec@5 68.125 (67.721) Epoch: [24][840/11272] Time 0.852 (0.821) Data 0.002 (0.004) Loss 2.6528 (2.5890) Prec@1 35.625 (37.262) Prec@5 68.750 (67.699) Epoch: [24][850/11272] Time 0.837 (0.821) Data 0.001 (0.004) Loss 2.4525 (2.5881) Prec@1 41.250 (37.269) Prec@5 68.750 (67.714) Epoch: [24][860/11272] Time 0.737 (0.821) Data 0.001 (0.004) Loss 2.5386 (2.5882) Prec@1 38.750 (37.265) Prec@5 67.500 (67.720) Epoch: [24][870/11272] Time 0.768 (0.821) Data 0.001 (0.004) Loss 2.5622 (2.5891) Prec@1 34.375 (37.247) Prec@5 69.375 (67.710) Epoch: [24][880/11272] Time 0.904 (0.822) Data 0.002 (0.004) Loss 2.3159 (2.5893) Prec@1 39.375 (37.249) Prec@5 75.625 (67.710) Epoch: [24][890/11272] Time 0.766 (0.821) Data 0.001 (0.004) Loss 2.8594 (2.5907) Prec@1 35.000 (37.230) Prec@5 61.875 (67.683) Epoch: [24][900/11272] Time 0.744 (0.821) Data 0.002 (0.004) Loss 2.5688 (2.5899) Prec@1 35.625 (37.256) Prec@5 71.250 (67.714) Epoch: [24][910/11272] Time 0.848 (0.821) Data 0.001 (0.004) Loss 2.8995 (2.5912) Prec@1 30.625 (37.242) Prec@5 65.000 (67.693) Epoch: [24][920/11272] Time 0.874 (0.821) Data 0.001 (0.004) Loss 2.5265 (2.5914) Prec@1 40.000 (37.224) Prec@5 68.125 (67.689) Epoch: [24][930/11272] Time 0.736 (0.821) Data 0.001 (0.004) Loss 2.7287 (2.5920) Prec@1 29.375 (37.197) Prec@5 64.375 (67.668) Epoch: [24][940/11272] Time 0.780 (0.822) Data 0.002 (0.004) Loss 2.5261 (2.5918) Prec@1 40.000 (37.200) Prec@5 64.375 (67.681) Epoch: [24][950/11272] Time 0.881 (0.821) Data 0.002 (0.004) Loss 2.3217 (2.5917) Prec@1 38.750 (37.204) Prec@5 71.250 (67.679) Epoch: [24][960/11272] Time 0.940 (0.821) Data 0.002 (0.004) Loss 2.6203 (2.5914) Prec@1 35.000 (37.207) Prec@5 67.500 (67.693) Epoch: [24][970/11272] Time 0.780 (0.821) Data 0.002 (0.004) Loss 2.5328 (2.5919) Prec@1 36.250 (37.196) Prec@5 66.250 (67.690) Epoch: [24][980/11272] Time 0.742 (0.821) Data 0.001 (0.004) Loss 2.8072 (2.5923) Prec@1 37.500 (37.183) Prec@5 62.500 (67.673) Epoch: [24][990/11272] Time 0.872 (0.821) Data 0.001 (0.004) Loss 2.4775 (2.5924) Prec@1 38.125 (37.166) Prec@5 66.250 (67.668) Epoch: [24][1000/11272] Time 0.912 (0.822) Data 0.002 (0.004) Loss 2.2351 (2.5926) Prec@1 45.000 (37.171) Prec@5 76.250 (67.676) Epoch: [24][1010/11272] Time 0.772 (0.822) Data 0.002 (0.004) Loss 2.4794 (2.5925) Prec@1 40.625 (37.169) Prec@5 65.625 (67.663) Epoch: [24][1020/11272] Time 0.823 (0.822) Data 0.001 (0.004) Loss 2.5521 (2.5929) Prec@1 41.875 (37.148) Prec@5 63.125 (67.645) Epoch: [24][1030/11272] Time 0.918 (0.822) Data 0.002 (0.004) Loss 2.4763 (2.5928) Prec@1 37.500 (37.141) Prec@5 69.375 (67.650) Epoch: [24][1040/11272] Time 0.804 (0.822) Data 0.002 (0.004) Loss 2.5622 (2.5924) Prec@1 38.125 (37.156) Prec@5 68.750 (67.663) Epoch: [24][1050/11272] Time 0.761 (0.822) Data 0.002 (0.004) Loss 2.8011 (2.5929) Prec@1 35.000 (37.144) Prec@5 61.875 (67.649) Epoch: [24][1060/11272] Time 0.927 (0.822) Data 0.001 (0.004) Loss 2.4404 (2.5933) Prec@1 37.500 (37.130) Prec@5 71.250 (67.640) Epoch: [24][1070/11272] Time 0.887 (0.822) Data 0.002 (0.003) Loss 2.6973 (2.5932) Prec@1 38.750 (37.136) Prec@5 65.000 (67.634) Epoch: [24][1080/11272] Time 0.766 (0.822) Data 0.002 (0.003) Loss 2.6257 (2.5926) Prec@1 30.625 (37.130) Prec@5 69.375 (67.647) Epoch: [24][1090/11272] Time 0.788 (0.822) Data 0.002 (0.003) Loss 2.6937 (2.5926) Prec@1 31.250 (37.135) Prec@5 67.500 (67.647) Epoch: [24][1100/11272] Time 0.852 (0.822) Data 0.001 (0.003) Loss 2.5820 (2.5923) Prec@1 37.500 (37.142) Prec@5 68.125 (67.656) Epoch: [24][1110/11272] Time 0.901 (0.822) Data 0.002 (0.003) Loss 2.6254 (2.5920) Prec@1 41.875 (37.160) Prec@5 67.500 (67.654) Epoch: [24][1120/11272] Time 0.721 (0.822) Data 0.001 (0.003) Loss 2.7262 (2.5919) Prec@1 33.125 (37.153) Prec@5 65.625 (67.661) Epoch: [24][1130/11272] Time 0.736 (0.822) Data 0.001 (0.003) Loss 2.8218 (2.5921) Prec@1 30.625 (37.148) Prec@5 65.625 (67.662) Epoch: [24][1140/11272] Time 0.896 (0.822) Data 0.001 (0.003) Loss 2.3309 (2.5920) Prec@1 40.625 (37.134) Prec@5 68.125 (67.664) Epoch: [24][1150/11272] Time 0.747 (0.821) Data 0.003 (0.003) Loss 2.6372 (2.5918) Prec@1 33.750 (37.141) Prec@5 70.000 (67.673) Epoch: [24][1160/11272] Time 0.792 (0.821) Data 0.002 (0.003) Loss 2.4942 (2.5914) Prec@1 40.000 (37.147) Prec@5 71.875 (67.685) Epoch: [24][1170/11272] Time 0.895 (0.822) Data 0.001 (0.003) Loss 2.7373 (2.5915) Prec@1 31.875 (37.124) Prec@5 63.125 (67.681) Epoch: [24][1180/11272] Time 0.868 (0.822) Data 0.002 (0.003) Loss 2.7780 (2.5914) Prec@1 33.125 (37.117) Prec@5 66.250 (67.688) Epoch: [24][1190/11272] Time 0.729 (0.821) Data 0.001 (0.003) Loss 3.0230 (2.5911) Prec@1 25.625 (37.123) Prec@5 61.250 (67.703) Epoch: [24][1200/11272] Time 0.730 (0.821) Data 0.001 (0.003) Loss 2.6088 (2.5913) Prec@1 33.750 (37.114) Prec@5 66.250 (67.703) Epoch: [24][1210/11272] Time 0.891 (0.821) Data 0.001 (0.003) Loss 2.5941 (2.5910) Prec@1 39.375 (37.122) Prec@5 70.625 (67.709) Epoch: [24][1220/11272] Time 0.880 (0.821) Data 0.002 (0.003) Loss 2.7279 (2.5909) Prec@1 35.625 (37.114) Prec@5 60.000 (67.715) Epoch: [24][1230/11272] Time 0.768 (0.821) Data 0.002 (0.003) Loss 2.7519 (2.5912) Prec@1 34.375 (37.106) Prec@5 62.500 (67.711) Epoch: [24][1240/11272] Time 0.758 (0.821) Data 0.002 (0.003) Loss 2.5413 (2.5911) Prec@1 34.375 (37.112) Prec@5 65.625 (67.715) Epoch: [24][1250/11272] Time 0.861 (0.821) Data 0.002 (0.003) Loss 2.7072 (2.5914) Prec@1 37.500 (37.116) Prec@5 68.125 (67.704) Epoch: [24][1260/11272] Time 0.902 (0.821) Data 0.002 (0.003) Loss 2.5627 (2.5917) Prec@1 38.750 (37.105) Prec@5 68.750 (67.699) Epoch: [24][1270/11272] Time 0.772 (0.821) Data 0.002 (0.003) Loss 2.7155 (2.5917) Prec@1 36.250 (37.100) Prec@5 66.875 (67.697) Epoch: [24][1280/11272] Time 0.903 (0.822) Data 0.002 (0.003) Loss 2.6155 (2.5919) Prec@1 37.500 (37.091) Prec@5 65.625 (67.693) Epoch: [24][1290/11272] Time 0.856 (0.821) Data 0.002 (0.003) Loss 2.3655 (2.5911) Prec@1 39.375 (37.099) Prec@5 73.750 (67.713) Epoch: [24][1300/11272] Time 0.739 (0.821) Data 0.001 (0.003) Loss 2.6969 (2.5912) Prec@1 43.125 (37.105) Prec@5 68.750 (67.717) Epoch: [24][1310/11272] Time 0.740 (0.821) Data 0.002 (0.003) Loss 2.8236 (2.5921) Prec@1 29.375 (37.091) Prec@5 64.375 (67.700) Epoch: [24][1320/11272] Time 0.900 (0.821) Data 0.001 (0.003) Loss 2.5920 (2.5918) Prec@1 36.875 (37.093) Prec@5 67.500 (67.706) Epoch: [24][1330/11272] Time 0.907 (0.821) Data 0.002 (0.003) Loss 2.6202 (2.5919) Prec@1 35.625 (37.092) Prec@5 71.250 (67.704) Epoch: [24][1340/11272] Time 0.768 (0.821) Data 0.002 (0.003) Loss 2.5246 (2.5915) Prec@1 40.625 (37.102) Prec@5 72.500 (67.719) Epoch: [24][1350/11272] Time 0.731 (0.821) Data 0.002 (0.003) Loss 3.0513 (2.5926) Prec@1 30.625 (37.079) Prec@5 53.125 (67.690) Epoch: [24][1360/11272] Time 0.906 (0.821) Data 0.002 (0.003) Loss 2.6227 (2.5933) Prec@1 36.250 (37.060) Prec@5 68.750 (67.678) Epoch: [24][1370/11272] Time 0.887 (0.821) Data 0.002 (0.003) Loss 2.7101 (2.5936) Prec@1 33.750 (37.044) Prec@5 65.000 (67.668) Epoch: [24][1380/11272] Time 0.732 (0.821) Data 0.002 (0.003) Loss 2.3815 (2.5931) Prec@1 38.125 (37.056) Prec@5 70.625 (67.675) Epoch: [24][1390/11272] Time 0.780 (0.821) Data 0.001 (0.003) Loss 2.5428 (2.5931) Prec@1 37.500 (37.058) Prec@5 66.875 (67.683) Epoch: [24][1400/11272] Time 0.909 (0.821) Data 0.002 (0.003) Loss 2.5079 (2.5936) Prec@1 35.000 (37.037) Prec@5 72.500 (67.676) Epoch: [24][1410/11272] Time 0.738 (0.821) Data 0.003 (0.003) Loss 2.2494 (2.5936) Prec@1 44.375 (37.042) Prec@5 76.250 (67.694) Epoch: [24][1420/11272] Time 0.812 (0.821) Data 0.002 (0.003) Loss 2.7547 (2.5937) Prec@1 35.625 (37.052) Prec@5 61.875 (67.690) Epoch: [24][1430/11272] Time 0.897 (0.821) Data 0.002 (0.003) Loss 2.7557 (2.5938) Prec@1 33.750 (37.053) Prec@5 61.875 (67.692) Epoch: [24][1440/11272] Time 0.901 (0.821) Data 0.002 (0.003) Loss 2.6105 (2.5934) Prec@1 35.625 (37.059) Prec@5 67.500 (67.693) Epoch: [24][1450/11272] Time 0.760 (0.821) Data 0.002 (0.003) Loss 2.7520 (2.5935) Prec@1 36.250 (37.058) Prec@5 63.125 (67.688) Epoch: [24][1460/11272] Time 0.759 (0.821) Data 0.002 (0.003) Loss 2.9429 (2.5937) Prec@1 33.750 (37.048) Prec@5 59.375 (67.687) Epoch: [24][1470/11272] Time 0.920 (0.822) Data 0.002 (0.003) Loss 2.6384 (2.5940) Prec@1 38.125 (37.050) Prec@5 66.250 (67.686) Epoch: [24][1480/11272] Time 0.861 (0.822) Data 0.002 (0.003) Loss 2.6889 (2.5941) Prec@1 34.375 (37.036) Prec@5 68.750 (67.694) Epoch: [24][1490/11272] Time 0.764 (0.822) Data 0.002 (0.003) Loss 2.5269 (2.5937) Prec@1 37.500 (37.042) Prec@5 71.875 (67.708) Epoch: [24][1500/11272] Time 0.738 (0.822) Data 0.001 (0.003) Loss 2.4492 (2.5935) Prec@1 40.000 (37.046) Prec@5 72.500 (67.709) Epoch: [24][1510/11272] Time 0.885 (0.822) Data 0.002 (0.003) Loss 2.6262 (2.5934) Prec@1 35.000 (37.047) Prec@5 68.750 (67.699) Epoch: [24][1520/11272] Time 0.868 (0.822) Data 0.002 (0.003) Loss 2.7130 (2.5935) Prec@1 35.625 (37.046) Prec@5 63.750 (67.696) Epoch: [24][1530/11272] Time 0.750 (0.822) Data 0.002 (0.003) Loss 2.5750 (2.5931) Prec@1 38.125 (37.050) Prec@5 68.125 (67.709) Epoch: [24][1540/11272] Time 0.933 (0.822) Data 0.002 (0.003) Loss 2.2686 (2.5932) Prec@1 37.500 (37.041) Prec@5 76.875 (67.717) Epoch: [24][1550/11272] Time 0.895 (0.822) Data 0.002 (0.003) Loss 2.5956 (2.5928) Prec@1 34.375 (37.036) Prec@5 70.625 (67.732) Epoch: [24][1560/11272] Time 0.789 (0.822) Data 0.001 (0.003) Loss 2.5646 (2.5930) Prec@1 37.500 (37.041) Prec@5 68.750 (67.728) Epoch: [24][1570/11272] Time 0.732 (0.822) Data 0.001 (0.003) Loss 2.7847 (2.5924) Prec@1 39.375 (37.050) Prec@5 65.625 (67.739) Epoch: [24][1580/11272] Time 0.927 (0.822) Data 0.002 (0.003) Loss 2.6001 (2.5923) Prec@1 40.000 (37.047) Prec@5 68.125 (67.738) Epoch: [24][1590/11272] Time 0.860 (0.822) Data 0.001 (0.003) Loss 2.4586 (2.5923) Prec@1 38.750 (37.045) Prec@5 70.000 (67.731) Epoch: [24][1600/11272] Time 0.756 (0.822) Data 0.001 (0.003) Loss 2.8768 (2.5925) Prec@1 34.375 (37.033) Prec@5 62.500 (67.731) Epoch: [24][1610/11272] Time 0.768 (0.822) Data 0.002 (0.003) Loss 2.6940 (2.5927) Prec@1 34.375 (37.026) Prec@5 63.750 (67.731) Epoch: [24][1620/11272] Time 0.924 (0.822) Data 0.002 (0.003) Loss 2.4031 (2.5927) Prec@1 42.500 (37.027) Prec@5 76.250 (67.729) Epoch: [24][1630/11272] Time 0.926 (0.822) Data 0.002 (0.003) Loss 2.6019 (2.5930) Prec@1 33.750 (37.027) Prec@5 68.750 (67.717) Epoch: [24][1640/11272] Time 0.735 (0.822) Data 0.002 (0.003) Loss 2.7317 (2.5930) Prec@1 35.000 (37.029) Prec@5 65.000 (67.722) Epoch: [24][1650/11272] Time 0.728 (0.822) Data 0.002 (0.003) Loss 2.4779 (2.5932) Prec@1 37.500 (37.023) Prec@5 73.125 (67.720) Epoch: [24][1660/11272] Time 0.979 (0.822) Data 0.002 (0.003) Loss 2.3914 (2.5933) Prec@1 40.625 (37.027) Prec@5 69.375 (67.713) Epoch: [24][1670/11272] Time 0.889 (0.822) Data 0.002 (0.003) Loss 2.6649 (2.5933) Prec@1 33.125 (37.021) Prec@5 66.250 (67.715) Epoch: [24][1680/11272] Time 0.731 (0.822) Data 0.001 (0.003) Loss 2.6784 (2.5930) Prec@1 31.875 (37.033) Prec@5 66.875 (67.722) Epoch: [24][1690/11272] Time 0.866 (0.822) Data 0.002 (0.003) Loss 2.7930 (2.5931) Prec@1 33.125 (37.036) Prec@5 59.375 (67.715) Epoch: [24][1700/11272] Time 0.920 (0.822) Data 0.001 (0.003) Loss 2.5018 (2.5927) Prec@1 39.375 (37.036) Prec@5 69.375 (67.721) Epoch: [24][1710/11272] Time 0.779 (0.822) Data 0.001 (0.003) Loss 2.5924 (2.5927) Prec@1 30.625 (37.031) Prec@5 71.250 (67.723) Epoch: [24][1720/11272] Time 0.806 (0.822) Data 0.002 (0.003) Loss 2.5116 (2.5926) Prec@1 39.375 (37.039) Prec@5 68.125 (67.719) Epoch: [24][1730/11272] Time 0.881 (0.822) Data 0.002 (0.003) Loss 2.3660 (2.5928) Prec@1 46.875 (37.036) Prec@5 66.250 (67.713) Epoch: [24][1740/11272] Time 0.910 (0.822) Data 0.002 (0.003) Loss 2.6514 (2.5929) Prec@1 36.250 (37.033) Prec@5 67.500 (67.711) Epoch: [24][1750/11272] Time 0.758 (0.822) Data 0.002 (0.003) Loss 2.3801 (2.5929) Prec@1 43.750 (37.036) Prec@5 68.750 (67.704) Epoch: [24][1760/11272] Time 0.771 (0.822) Data 0.002 (0.003) Loss 2.6458 (2.5929) Prec@1 33.125 (37.036) Prec@5 67.500 (67.701) Epoch: [24][1770/11272] Time 0.869 (0.822) Data 0.002 (0.003) Loss 2.4825 (2.5928) Prec@1 37.500 (37.039) Prec@5 68.750 (67.705) Epoch: [24][1780/11272] Time 0.863 (0.822) Data 0.002 (0.003) Loss 2.4428 (2.5929) Prec@1 40.625 (37.034) Prec@5 71.250 (67.706) Epoch: [24][1790/11272] Time 0.703 (0.822) Data 0.001 (0.003) Loss 2.4165 (2.5929) Prec@1 45.625 (37.035) Prec@5 70.000 (67.708) Epoch: [24][1800/11272] Time 0.804 (0.822) Data 0.001 (0.003) Loss 2.8564 (2.5924) Prec@1 34.375 (37.046) Prec@5 65.625 (67.718) Epoch: [24][1810/11272] Time 0.873 (0.822) Data 0.002 (0.003) Loss 2.9331 (2.5926) Prec@1 33.125 (37.049) Prec@5 61.250 (67.722) Epoch: [24][1820/11272] Time 0.785 (0.822) Data 0.002 (0.003) Loss 2.6725 (2.5922) Prec@1 38.125 (37.048) Prec@5 63.750 (67.732) Epoch: [24][1830/11272] Time 0.734 (0.822) Data 0.001 (0.003) Loss 2.4049 (2.5923) Prec@1 38.750 (37.038) Prec@5 73.750 (67.726) Epoch: [24][1840/11272] Time 0.854 (0.822) Data 0.002 (0.003) Loss 2.5388 (2.5921) Prec@1 41.875 (37.038) Prec@5 73.750 (67.741) Epoch: [24][1850/11272] Time 0.910 (0.822) Data 0.001 (0.003) Loss 2.6359 (2.5923) Prec@1 29.375 (37.025) Prec@5 68.125 (67.742) Epoch: [24][1860/11272] Time 0.795 (0.822) Data 0.002 (0.003) Loss 2.7103 (2.5921) Prec@1 35.625 (37.025) Prec@5 64.375 (67.744) Epoch: [24][1870/11272] Time 0.757 (0.822) Data 0.002 (0.003) Loss 2.6710 (2.5918) Prec@1 35.625 (37.034) Prec@5 63.125 (67.748) Epoch: [24][1880/11272] Time 0.852 (0.822) Data 0.002 (0.003) Loss 2.8174 (2.5920) Prec@1 26.250 (37.034) Prec@5 63.125 (67.742) Epoch: [24][1890/11272] Time 0.877 (0.822) Data 0.002 (0.003) Loss 2.5381 (2.5919) Prec@1 36.250 (37.041) Prec@5 67.500 (67.744) Epoch: [24][1900/11272] Time 0.742 (0.822) Data 0.002 (0.003) Loss 2.7313 (2.5921) Prec@1 35.625 (37.035) Prec@5 66.875 (67.740) Epoch: [24][1910/11272] Time 0.758 (0.822) Data 0.002 (0.003) Loss 2.5710 (2.5924) Prec@1 40.625 (37.025) Prec@5 68.125 (67.740) Epoch: [24][1920/11272] Time 0.906 (0.822) Data 0.002 (0.003) Loss 2.4866 (2.5926) Prec@1 37.500 (37.022) Prec@5 71.250 (67.734) Epoch: [24][1930/11272] Time 0.867 (0.822) Data 0.003 (0.003) Loss 2.8682 (2.5927) Prec@1 33.125 (37.022) Prec@5 61.875 (67.729) Epoch: [24][1940/11272] Time 0.766 (0.822) Data 0.002 (0.003) Loss 2.6183 (2.5928) Prec@1 38.125 (37.016) Prec@5 68.125 (67.728) Epoch: [24][1950/11272] Time 0.893 (0.822) Data 0.002 (0.003) Loss 2.5604 (2.5933) Prec@1 38.750 (37.005) Prec@5 65.625 (67.716) Epoch: [24][1960/11272] Time 0.845 (0.822) Data 0.001 (0.003) Loss 2.6735 (2.5929) Prec@1 35.000 (37.012) Prec@5 64.375 (67.726) Epoch: [24][1970/11272] Time 0.764 (0.822) Data 0.002 (0.003) Loss 2.3539 (2.5924) Prec@1 36.875 (37.010) Prec@5 76.250 (67.736) Epoch: [24][1980/11272] Time 0.743 (0.822) Data 0.002 (0.003) Loss 2.9051 (2.5924) Prec@1 31.250 (37.019) Prec@5 59.375 (67.735) Epoch: [24][1990/11272] Time 0.916 (0.822) Data 0.002 (0.003) Loss 2.6043 (2.5923) Prec@1 36.875 (37.021) Prec@5 70.000 (67.738) Epoch: [24][2000/11272] Time 0.887 (0.822) Data 0.002 (0.003) Loss 2.6865 (2.5926) Prec@1 35.000 (37.005) Prec@5 63.750 (67.731) Epoch: [24][2010/11272] Time 0.747 (0.822) Data 0.001 (0.003) Loss 2.8149 (2.5928) Prec@1 34.375 (37.002) Prec@5 61.875 (67.728) Epoch: [24][2020/11272] Time 0.748 (0.822) Data 0.001 (0.003) Loss 2.6903 (2.5931) Prec@1 37.500 (37.003) Prec@5 65.000 (67.722) Epoch: [24][2030/11272] Time 0.878 (0.822) Data 0.002 (0.003) Loss 2.7648 (2.5930) Prec@1 36.250 (37.013) Prec@5 65.000 (67.724) Epoch: [24][2040/11272] Time 0.888 (0.822) Data 0.002 (0.003) Loss 2.7470 (2.5927) Prec@1 36.250 (37.016) Prec@5 65.000 (67.733) Epoch: [24][2050/11272] Time 0.733 (0.822) Data 0.002 (0.003) Loss 2.6294 (2.5925) Prec@1 32.500 (37.023) Prec@5 63.750 (67.735) Epoch: [24][2060/11272] Time 0.757 (0.822) Data 0.002 (0.003) Loss 2.5851 (2.5924) Prec@1 37.500 (37.025) Prec@5 65.625 (67.737) Epoch: [24][2070/11272] Time 0.900 (0.822) Data 0.002 (0.003) Loss 2.5877 (2.5924) Prec@1 35.000 (37.023) Prec@5 71.250 (67.742) Epoch: [24][2080/11272] Time 0.759 (0.822) Data 0.003 (0.003) Loss 2.7065 (2.5926) Prec@1 39.375 (37.022) Prec@5 59.375 (67.735) Epoch: [24][2090/11272] Time 0.763 (0.822) Data 0.002 (0.003) Loss 2.5614 (2.5929) Prec@1 33.125 (37.019) Prec@5 71.250 (67.730) Epoch: [24][2100/11272] Time 0.876 (0.822) Data 0.002 (0.003) Loss 2.2428 (2.5929) Prec@1 43.125 (37.017) Prec@5 73.125 (67.731) Epoch: [24][2110/11272] Time 0.865 (0.822) Data 0.002 (0.003) Loss 2.5419 (2.5927) Prec@1 38.125 (37.014) Prec@5 66.875 (67.730) Epoch: [24][2120/11272] Time 0.730 (0.822) Data 0.002 (0.003) Loss 2.3515 (2.5926) Prec@1 40.625 (37.019) Prec@5 71.875 (67.735) Epoch: [24][2130/11272] Time 0.730 (0.822) Data 0.002 (0.003) Loss 2.7230 (2.5927) Prec@1 37.500 (37.019) Prec@5 63.750 (67.733) Epoch: [24][2140/11272] Time 0.865 (0.822) Data 0.002 (0.003) Loss 2.5152 (2.5924) Prec@1 34.375 (37.012) Prec@5 66.875 (67.738) Epoch: [24][2150/11272] Time 0.879 (0.822) Data 0.002 (0.003) Loss 2.6382 (2.5925) Prec@1 37.500 (37.012) Prec@5 66.875 (67.738) Epoch: [24][2160/11272] Time 0.765 (0.822) Data 0.002 (0.003) Loss 2.5627 (2.5924) Prec@1 34.375 (37.015) Prec@5 66.875 (67.739) Epoch: [24][2170/11272] Time 0.754 (0.822) Data 0.002 (0.003) Loss 2.7501 (2.5926) Prec@1 36.250 (37.012) Prec@5 61.875 (67.738) Epoch: [24][2180/11272] Time 0.961 (0.822) Data 0.002 (0.003) Loss 2.7084 (2.5926) Prec@1 38.125 (37.016) Prec@5 64.375 (67.738) Epoch: [24][2190/11272] Time 0.853 (0.822) Data 0.002 (0.003) Loss 2.7356 (2.5931) Prec@1 35.000 (37.011) Prec@5 66.875 (67.737) Epoch: [24][2200/11272] Time 0.729 (0.822) Data 0.002 (0.003) Loss 2.6100 (2.5932) Prec@1 40.625 (37.012) Prec@5 66.250 (67.734) Epoch: [24][2210/11272] Time 0.974 (0.822) Data 0.001 (0.003) Loss 2.7110 (2.5933) Prec@1 33.125 (37.009) Prec@5 65.625 (67.735) Epoch: [24][2220/11272] Time 0.881 (0.822) Data 0.002 (0.003) Loss 2.4703 (2.5932) Prec@1 38.750 (37.008) Prec@5 71.250 (67.734) Epoch: [24][2230/11272] Time 0.790 (0.822) Data 0.001 (0.003) Loss 2.3781 (2.5930) Prec@1 37.500 (37.011) Prec@5 72.500 (67.739) Epoch: [24][2240/11272] Time 0.738 (0.822) Data 0.002 (0.003) Loss 2.6321 (2.5924) Prec@1 36.875 (37.016) Prec@5 68.125 (67.752) Epoch: [24][2250/11272] Time 0.867 (0.822) Data 0.002 (0.003) Loss 2.6031 (2.5928) Prec@1 33.750 (37.005) Prec@5 68.125 (67.746) Epoch: [24][2260/11272] Time 0.899 (0.822) Data 0.002 (0.003) Loss 2.6930 (2.5928) Prec@1 35.000 (37.006) Prec@5 58.125 (67.743) Epoch: [24][2270/11272] Time 0.728 (0.821) Data 0.001 (0.003) Loss 2.3645 (2.5924) Prec@1 42.500 (37.019) Prec@5 69.375 (67.751) Epoch: [24][2280/11272] Time 0.756 (0.822) Data 0.001 (0.003) Loss 2.4081 (2.5926) Prec@1 45.000 (37.016) Prec@5 70.625 (67.749) Epoch: [24][2290/11272] Time 0.883 (0.822) Data 0.002 (0.003) Loss 2.7716 (2.5926) Prec@1 32.500 (37.011) Prec@5 65.625 (67.750) Epoch: [24][2300/11272] Time 0.894 (0.822) Data 0.002 (0.003) Loss 2.4675 (2.5925) Prec@1 38.750 (37.011) Prec@5 70.000 (67.753) Epoch: [24][2310/11272] Time 0.749 (0.822) Data 0.001 (0.003) Loss 2.5020 (2.5926) Prec@1 32.500 (37.005) Prec@5 73.125 (67.756) Epoch: [24][2320/11272] Time 0.737 (0.822) Data 0.001 (0.003) Loss 2.6849 (2.5927) Prec@1 36.250 (37.009) Prec@5 61.250 (67.752) Epoch: [24][2330/11272] Time 0.872 (0.822) Data 0.002 (0.003) Loss 2.4673 (2.5925) Prec@1 39.375 (37.014) Prec@5 66.250 (67.754) Epoch: [24][2340/11272] Time 0.728 (0.822) Data 0.004 (0.003) Loss 2.7033 (2.5925) Prec@1 40.000 (37.016) Prec@5 65.625 (67.754) Epoch: [24][2350/11272] Time 0.747 (0.822) Data 0.001 (0.003) Loss 2.7491 (2.5931) Prec@1 33.125 (37.011) Prec@5 60.625 (67.739) Epoch: [24][2360/11272] Time 0.863 (0.822) Data 0.002 (0.003) Loss 2.6020 (2.5931) Prec@1 34.375 (37.009) Prec@5 70.000 (67.738) Epoch: [24][2370/11272] Time 0.908 (0.822) Data 0.001 (0.003) Loss 2.5033 (2.5930) Prec@1 43.125 (37.018) Prec@5 68.750 (67.743) Epoch: [24][2380/11272] Time 0.755 (0.822) Data 0.001 (0.003) Loss 2.6714 (2.5931) Prec@1 36.875 (37.023) Prec@5 64.375 (67.740) Epoch: [24][2390/11272] Time 0.744 (0.822) Data 0.002 (0.003) Loss 2.6232 (2.5934) Prec@1 32.500 (37.016) Prec@5 70.000 (67.738) Epoch: [24][2400/11272] Time 0.888 (0.822) Data 0.002 (0.003) Loss 2.6028 (2.5935) Prec@1 31.250 (37.016) Prec@5 68.750 (67.736) Epoch: [24][2410/11272] Time 0.880 (0.822) Data 0.002 (0.002) Loss 2.6059 (2.5936) Prec@1 35.625 (37.007) Prec@5 64.375 (67.736) Epoch: [24][2420/11272] Time 0.818 (0.822) Data 0.002 (0.002) Loss 2.5360 (2.5941) Prec@1 40.625 (37.003) Prec@5 69.375 (67.727) Epoch: [24][2430/11272] Time 0.728 (0.822) Data 0.001 (0.002) Loss 2.4972 (2.5939) Prec@1 41.250 (37.004) Prec@5 68.750 (67.725) Epoch: [24][2440/11272] Time 0.860 (0.822) Data 0.001 (0.002) Loss 2.5116 (2.5938) Prec@1 43.125 (37.007) Prec@5 68.750 (67.725) Epoch: [24][2450/11272] Time 0.943 (0.822) Data 0.002 (0.002) Loss 2.5823 (2.5937) Prec@1 37.500 (37.007) Prec@5 68.125 (67.726) Epoch: [24][2460/11272] Time 0.776 (0.822) Data 0.002 (0.002) Loss 2.4293 (2.5938) Prec@1 38.125 (37.002) Prec@5 73.125 (67.727) Epoch: [24][2470/11272] Time 0.830 (0.822) Data 0.001 (0.002) Loss 2.7077 (2.5937) Prec@1 31.250 (37.004) Prec@5 58.750 (67.726) Epoch: [24][2480/11272] Time 0.885 (0.822) Data 0.002 (0.002) Loss 2.6342 (2.5936) Prec@1 33.750 (37.004) Prec@5 66.875 (67.728) Epoch: [24][2490/11272] Time 0.820 (0.822) Data 0.001 (0.002) Loss 2.4497 (2.5938) Prec@1 39.375 (37.005) Prec@5 70.625 (67.724) Epoch: [24][2500/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.7790 (2.5941) Prec@1 33.125 (37.001) Prec@5 63.125 (67.721) Epoch: [24][2510/11272] Time 0.870 (0.822) Data 0.002 (0.002) Loss 2.6255 (2.5943) Prec@1 33.125 (36.992) Prec@5 70.000 (67.711) Epoch: [24][2520/11272] Time 0.916 (0.822) Data 0.002 (0.002) Loss 2.5614 (2.5944) Prec@1 35.000 (36.992) Prec@5 63.750 (67.711) Epoch: [24][2530/11272] Time 0.757 (0.822) Data 0.001 (0.002) Loss 2.6651 (2.5944) Prec@1 34.375 (36.997) Prec@5 64.375 (67.712) Epoch: [24][2540/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.5131 (2.5943) Prec@1 38.125 (37.003) Prec@5 70.625 (67.713) Epoch: [24][2550/11272] Time 0.844 (0.822) Data 0.002 (0.002) Loss 2.6197 (2.5943) Prec@1 33.750 (37.001) Prec@5 65.625 (67.709) Epoch: [24][2560/11272] Time 0.906 (0.822) Data 0.001 (0.002) Loss 2.8317 (2.5946) Prec@1 31.875 (36.990) Prec@5 61.250 (67.704) Epoch: [24][2570/11272] Time 0.774 (0.822) Data 0.001 (0.002) Loss 2.4419 (2.5944) Prec@1 36.250 (36.989) Prec@5 72.500 (67.713) Epoch: [24][2580/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.5274 (2.5945) Prec@1 41.875 (36.987) Prec@5 69.375 (67.711) Epoch: [24][2590/11272] Time 0.887 (0.822) Data 0.002 (0.002) Loss 2.7392 (2.5946) Prec@1 34.375 (36.985) Prec@5 68.125 (67.711) Epoch: [24][2600/11272] Time 0.896 (0.822) Data 0.002 (0.002) Loss 2.4975 (2.5943) Prec@1 35.000 (36.988) Prec@5 70.625 (67.722) Epoch: [24][2610/11272] Time 0.738 (0.822) Data 0.002 (0.002) Loss 2.4466 (2.5945) Prec@1 40.000 (36.987) Prec@5 71.875 (67.720) Epoch: [24][2620/11272] Time 0.853 (0.821) Data 0.001 (0.002) Loss 2.4221 (2.5942) Prec@1 37.500 (36.990) Prec@5 71.875 (67.724) Epoch: [24][2630/11272] Time 0.925 (0.822) Data 0.002 (0.002) Loss 2.5233 (2.5939) Prec@1 36.875 (36.991) Prec@5 70.000 (67.727) Epoch: [24][2640/11272] Time 0.754 (0.821) Data 0.002 (0.002) Loss 2.5599 (2.5941) Prec@1 40.000 (36.992) Prec@5 60.625 (67.720) Epoch: [24][2650/11272] Time 0.797 (0.821) Data 0.001 (0.002) Loss 2.5862 (2.5940) Prec@1 39.375 (36.996) Prec@5 68.750 (67.723) Epoch: [24][2660/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.4523 (2.5939) Prec@1 34.375 (37.000) Prec@5 71.250 (67.728) Epoch: [24][2670/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.8239 (2.5941) Prec@1 35.000 (36.997) Prec@5 65.000 (67.720) Epoch: [24][2680/11272] Time 0.762 (0.821) Data 0.001 (0.002) Loss 2.7828 (2.5943) Prec@1 37.500 (36.991) Prec@5 65.000 (67.716) Epoch: [24][2690/11272] Time 0.731 (0.821) Data 0.001 (0.002) Loss 2.4852 (2.5942) Prec@1 41.250 (36.997) Prec@5 69.375 (67.718) Epoch: [24][2700/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.4771 (2.5943) Prec@1 38.125 (36.991) Prec@5 71.875 (67.721) Epoch: [24][2710/11272] Time 0.837 (0.821) Data 0.002 (0.002) Loss 2.5803 (2.5942) Prec@1 45.625 (36.996) Prec@5 67.500 (67.723) Epoch: [24][2720/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.7895 (2.5941) Prec@1 38.125 (37.002) Prec@5 61.875 (67.725) Epoch: [24][2730/11272] Time 0.737 (0.821) Data 0.001 (0.002) Loss 2.4522 (2.5938) Prec@1 36.875 (37.001) Prec@5 70.625 (67.732) Epoch: [24][2740/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.4095 (2.5935) Prec@1 41.250 (37.004) Prec@5 67.500 (67.739) Epoch: [24][2750/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.7824 (2.5937) Prec@1 33.125 (36.996) Prec@5 66.875 (67.736) Epoch: [24][2760/11272] Time 0.778 (0.821) Data 0.001 (0.002) Loss 2.4639 (2.5937) Prec@1 36.875 (36.994) Prec@5 70.625 (67.736) Epoch: [24][2770/11272] Time 0.922 (0.821) Data 0.002 (0.002) Loss 2.4345 (2.5938) Prec@1 35.000 (36.990) Prec@5 71.250 (67.733) Epoch: [24][2780/11272] Time 0.883 (0.821) Data 0.002 (0.002) Loss 2.6176 (2.5939) Prec@1 38.125 (36.982) Prec@5 66.875 (67.731) Epoch: [24][2790/11272] Time 0.787 (0.821) Data 0.002 (0.002) Loss 2.6963 (2.5939) Prec@1 37.500 (36.981) Prec@5 70.625 (67.731) Epoch: [24][2800/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.7955 (2.5940) Prec@1 26.875 (36.972) Prec@5 65.625 (67.724) Epoch: [24][2810/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.5751 (2.5943) Prec@1 40.000 (36.973) Prec@5 71.875 (67.719) Epoch: [24][2820/11272] Time 0.883 (0.821) Data 0.001 (0.002) Loss 2.6951 (2.5944) Prec@1 34.375 (36.968) Prec@5 65.000 (67.714) Epoch: [24][2830/11272] Time 0.780 (0.821) Data 0.002 (0.002) Loss 2.5686 (2.5947) Prec@1 33.750 (36.962) Prec@5 69.375 (67.709) Epoch: [24][2840/11272] Time 0.724 (0.821) Data 0.001 (0.002) Loss 2.5209 (2.5950) Prec@1 38.125 (36.957) Prec@5 66.875 (67.701) Epoch: [24][2850/11272] Time 0.888 (0.821) Data 0.002 (0.002) Loss 2.7559 (2.5950) Prec@1 33.750 (36.957) Prec@5 66.250 (67.705) Epoch: [24][2860/11272] Time 0.912 (0.821) Data 0.002 (0.002) Loss 2.4016 (2.5951) Prec@1 38.125 (36.953) Prec@5 70.000 (67.700) Epoch: [24][2870/11272] Time 0.754 (0.821) Data 0.001 (0.002) Loss 2.7946 (2.5955) Prec@1 37.500 (36.951) Prec@5 60.000 (67.687) Epoch: [24][2880/11272] Time 0.938 (0.821) Data 0.001 (0.002) Loss 2.4492 (2.5957) Prec@1 38.750 (36.946) Prec@5 71.250 (67.686) Epoch: [24][2890/11272] Time 0.914 (0.821) Data 0.003 (0.002) Loss 2.6234 (2.5956) Prec@1 31.875 (36.949) Prec@5 70.000 (67.690) Epoch: [24][2900/11272] Time 0.749 (0.821) Data 0.002 (0.002) Loss 2.6989 (2.5954) Prec@1 30.625 (36.950) Prec@5 64.375 (67.691) Epoch: [24][2910/11272] Time 0.765 (0.821) Data 0.002 (0.002) Loss 2.6129 (2.5957) Prec@1 37.500 (36.945) Prec@5 66.875 (67.686) Epoch: [24][2920/11272] Time 0.890 (0.821) Data 0.002 (0.002) Loss 2.8063 (2.5959) Prec@1 35.000 (36.944) Prec@5 66.250 (67.682) Epoch: [24][2930/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.5055 (2.5957) Prec@1 37.500 (36.949) Prec@5 71.250 (67.687) Epoch: [24][2940/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.6399 (2.5956) Prec@1 35.625 (36.953) Prec@5 66.875 (67.690) Epoch: [24][2950/11272] Time 0.755 (0.821) Data 0.001 (0.002) Loss 2.3565 (2.5949) Prec@1 38.125 (36.968) Prec@5 74.375 (67.706) Epoch: [24][2960/11272] Time 0.909 (0.821) Data 0.002 (0.002) Loss 2.8071 (2.5950) Prec@1 38.125 (36.968) Prec@5 64.375 (67.701) Epoch: [24][2970/11272] Time 0.986 (0.821) Data 0.002 (0.002) Loss 2.7844 (2.5950) Prec@1 28.125 (36.967) Prec@5 63.125 (67.701) Epoch: [24][2980/11272] Time 0.801 (0.821) Data 0.002 (0.002) Loss 2.7374 (2.5950) Prec@1 30.000 (36.966) Prec@5 66.250 (67.697) Epoch: [24][2990/11272] Time 0.748 (0.821) Data 0.001 (0.002) Loss 2.8329 (2.5952) Prec@1 34.375 (36.965) Prec@5 61.875 (67.691) Epoch: [24][3000/11272] Time 0.940 (0.821) Data 0.001 (0.002) Loss 2.5897 (2.5954) Prec@1 31.250 (36.961) Prec@5 70.000 (67.691) Epoch: [24][3010/11272] Time 0.763 (0.821) Data 0.004 (0.002) Loss 2.3213 (2.5954) Prec@1 39.375 (36.958) Prec@5 75.000 (67.690) Epoch: [24][3020/11272] Time 0.768 (0.821) Data 0.002 (0.002) Loss 2.6058 (2.5954) Prec@1 39.375 (36.958) Prec@5 70.000 (67.692) Epoch: [24][3030/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.6525 (2.5954) Prec@1 35.625 (36.957) Prec@5 67.500 (67.693) Epoch: [24][3040/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.6030 (2.5952) Prec@1 35.000 (36.963) Prec@5 68.750 (67.697) Epoch: [24][3050/11272] Time 0.743 (0.821) Data 0.001 (0.002) Loss 2.5259 (2.5950) Prec@1 40.625 (36.966) Prec@5 67.500 (67.698) Epoch: [24][3060/11272] Time 0.745 (0.821) Data 0.002 (0.002) Loss 2.6869 (2.5949) Prec@1 35.000 (36.971) Prec@5 70.000 (67.698) Epoch: [24][3070/11272] Time 0.867 (0.821) Data 0.002 (0.002) Loss 2.5976 (2.5948) Prec@1 39.375 (36.971) Prec@5 67.500 (67.696) Epoch: [24][3080/11272] Time 0.920 (0.821) Data 0.002 (0.002) Loss 2.7220 (2.5950) Prec@1 33.125 (36.969) Prec@5 63.125 (67.693) Epoch: [24][3090/11272] Time 0.738 (0.821) Data 0.001 (0.002) Loss 2.5690 (2.5951) Prec@1 37.500 (36.964) Prec@5 66.875 (67.691) Epoch: [24][3100/11272] Time 0.738 (0.821) Data 0.001 (0.002) Loss 2.7426 (2.5954) Prec@1 33.125 (36.960) Prec@5 66.875 (67.685) Epoch: [24][3110/11272] Time 0.892 (0.821) Data 0.002 (0.002) Loss 2.8192 (2.5953) Prec@1 34.375 (36.962) Prec@5 59.375 (67.683) Epoch: [24][3120/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.7653 (2.5955) Prec@1 32.500 (36.959) Prec@5 61.875 (67.676) Epoch: [24][3130/11272] Time 0.787 (0.821) Data 0.002 (0.002) Loss 2.7995 (2.5956) Prec@1 38.125 (36.961) Prec@5 62.500 (67.675) Epoch: [24][3140/11272] Time 0.894 (0.821) Data 0.001 (0.002) Loss 2.5158 (2.5957) Prec@1 38.750 (36.960) Prec@5 71.250 (67.669) Epoch: [24][3150/11272] Time 0.886 (0.821) Data 0.002 (0.002) Loss 2.5179 (2.5959) Prec@1 35.000 (36.957) Prec@5 66.875 (67.665) Epoch: [24][3160/11272] Time 0.729 (0.821) Data 0.001 (0.002) Loss 2.7207 (2.5959) Prec@1 35.000 (36.957) Prec@5 70.625 (67.666) Epoch: [24][3170/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.5459 (2.5960) Prec@1 35.000 (36.954) Prec@5 71.250 (67.666) Epoch: [24][3180/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.4373 (2.5961) Prec@1 35.625 (36.950) Prec@5 66.875 (67.663) Epoch: [24][3190/11272] Time 0.888 (0.821) Data 0.002 (0.002) Loss 2.7265 (2.5963) Prec@1 35.000 (36.948) Prec@5 64.375 (67.659) Epoch: [24][3200/11272] Time 0.783 (0.821) Data 0.002 (0.002) Loss 2.3485 (2.5962) Prec@1 41.250 (36.950) Prec@5 74.375 (67.661) Epoch: [24][3210/11272] Time 0.733 (0.821) Data 0.001 (0.002) Loss 2.5858 (2.5959) Prec@1 38.125 (36.952) Prec@5 65.625 (67.668) Epoch: [24][3220/11272] Time 0.864 (0.821) Data 0.002 (0.002) Loss 2.6555 (2.5961) Prec@1 34.375 (36.955) Prec@5 70.625 (67.664) Epoch: [24][3230/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.7680 (2.5959) Prec@1 31.250 (36.960) Prec@5 69.375 (67.670) Epoch: [24][3240/11272] Time 0.794 (0.821) Data 0.002 (0.002) Loss 2.5878 (2.5958) Prec@1 36.875 (36.960) Prec@5 66.875 (67.667) Epoch: [24][3250/11272] Time 0.747 (0.821) Data 0.002 (0.002) Loss 2.5958 (2.5958) Prec@1 34.375 (36.955) Prec@5 69.375 (67.671) Epoch: [24][3260/11272] Time 0.842 (0.821) Data 0.001 (0.002) Loss 2.7825 (2.5960) Prec@1 34.375 (36.951) Prec@5 63.125 (67.668) Epoch: [24][3270/11272] Time 0.794 (0.821) Data 0.003 (0.002) Loss 2.3747 (2.5960) Prec@1 36.875 (36.949) Prec@5 76.250 (67.670) Epoch: [24][3280/11272] Time 0.737 (0.821) Data 0.002 (0.002) Loss 2.7509 (2.5961) Prec@1 29.375 (36.947) Prec@5 66.250 (67.667) Epoch: [24][3290/11272] Time 0.881 (0.821) Data 0.002 (0.002) Loss 2.6654 (2.5963) Prec@1 36.875 (36.945) Prec@5 64.375 (67.659) Epoch: [24][3300/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.5835 (2.5961) Prec@1 36.875 (36.948) Prec@5 68.125 (67.664) Epoch: [24][3310/11272] Time 0.734 (0.821) Data 0.002 (0.002) Loss 2.4004 (2.5961) Prec@1 35.625 (36.948) Prec@5 72.500 (67.666) Epoch: [24][3320/11272] Time 0.709 (0.821) Data 0.001 (0.002) Loss 2.5297 (2.5962) Prec@1 36.250 (36.950) Prec@5 70.625 (67.666) Epoch: [24][3330/11272] Time 0.882 (0.821) Data 0.002 (0.002) Loss 2.6392 (2.5962) Prec@1 35.625 (36.945) Prec@5 67.500 (67.666) Epoch: [24][3340/11272] Time 0.861 (0.821) Data 0.002 (0.002) Loss 2.3612 (2.5962) Prec@1 38.750 (36.944) Prec@5 73.125 (67.669) Epoch: [24][3350/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.7492 (2.5962) Prec@1 31.875 (36.944) Prec@5 60.000 (67.662) Epoch: [24][3360/11272] Time 0.763 (0.821) Data 0.002 (0.002) Loss 2.5139 (2.5963) Prec@1 43.750 (36.942) Prec@5 67.500 (67.660) Epoch: [24][3370/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.3332 (2.5964) Prec@1 35.625 (36.937) Prec@5 75.000 (67.661) Epoch: [24][3380/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.7677 (2.5966) Prec@1 33.750 (36.933) Prec@5 61.250 (67.657) Epoch: [24][3390/11272] Time 0.786 (0.821) Data 0.002 (0.002) Loss 2.5841 (2.5967) Prec@1 36.875 (36.933) Prec@5 67.500 (67.654) Epoch: [24][3400/11272] Time 0.853 (0.821) Data 0.002 (0.002) Loss 2.6859 (2.5966) Prec@1 35.625 (36.935) Prec@5 62.500 (67.657) Epoch: [24][3410/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.7994 (2.5967) Prec@1 35.000 (36.935) Prec@5 66.250 (67.652) Epoch: [24][3420/11272] Time 0.785 (0.821) Data 0.001 (0.002) Loss 2.4168 (2.5969) Prec@1 38.750 (36.931) Prec@5 70.625 (67.649) Epoch: [24][3430/11272] Time 0.772 (0.821) Data 0.002 (0.002) Loss 2.6698 (2.5968) Prec@1 36.875 (36.930) Prec@5 68.125 (67.650) Epoch: [24][3440/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.4703 (2.5967) Prec@1 41.875 (36.933) Prec@5 68.125 (67.649) Epoch: [24][3450/11272] Time 0.910 (0.821) Data 0.002 (0.002) Loss 2.6569 (2.5968) Prec@1 37.500 (36.933) Prec@5 63.750 (67.649) Epoch: [24][3460/11272] Time 0.726 (0.821) Data 0.002 (0.002) Loss 2.9323 (2.5967) Prec@1 32.500 (36.936) Prec@5 60.000 (67.651) Epoch: [24][3470/11272] Time 0.761 (0.821) Data 0.001 (0.002) Loss 2.3969 (2.5966) Prec@1 37.500 (36.934) Prec@5 68.750 (67.653) Epoch: [24][3480/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.4397 (2.5964) Prec@1 42.500 (36.941) Prec@5 69.375 (67.657) Epoch: [24][3490/11272] Time 0.842 (0.821) Data 0.002 (0.002) Loss 2.6216 (2.5962) Prec@1 31.875 (36.942) Prec@5 67.500 (67.662) Epoch: [24][3500/11272] Time 0.714 (0.821) Data 0.001 (0.002) Loss 2.7141 (2.5963) Prec@1 38.750 (36.941) Prec@5 64.375 (67.660) Epoch: [24][3510/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.8211 (2.5962) Prec@1 30.625 (36.943) Prec@5 61.875 (67.663) Epoch: [24][3520/11272] Time 0.894 (0.821) Data 0.002 (0.002) Loss 2.6220 (2.5962) Prec@1 33.750 (36.943) Prec@5 70.625 (67.661) Epoch: [24][3530/11272] Time 0.979 (0.821) Data 0.002 (0.002) Loss 2.7209 (2.5965) Prec@1 38.125 (36.941) Prec@5 66.875 (67.660) Epoch: [24][3540/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.8951 (2.5966) Prec@1 33.750 (36.944) Prec@5 62.500 (67.658) Epoch: [24][3550/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.9295 (2.5965) Prec@1 33.125 (36.950) Prec@5 56.875 (67.657) Epoch: [24][3560/11272] Time 0.880 (0.821) Data 0.002 (0.002) Loss 2.3919 (2.5966) Prec@1 36.875 (36.944) Prec@5 71.875 (67.655) Epoch: [24][3570/11272] Time 0.786 (0.821) Data 0.002 (0.002) Loss 2.7180 (2.5965) Prec@1 32.500 (36.946) Prec@5 68.125 (67.658) Epoch: [24][3580/11272] Time 0.752 (0.821) Data 0.002 (0.002) Loss 2.8876 (2.5967) Prec@1 29.375 (36.942) Prec@5 63.750 (67.652) Epoch: [24][3590/11272] Time 0.850 (0.821) Data 0.001 (0.002) Loss 2.7778 (2.5966) Prec@1 31.875 (36.944) Prec@5 65.625 (67.656) Epoch: [24][3600/11272] Time 0.876 (0.821) Data 0.002 (0.002) Loss 2.6117 (2.5964) Prec@1 33.125 (36.945) Prec@5 68.750 (67.661) Epoch: [24][3610/11272] Time 0.728 (0.821) Data 0.001 (0.002) Loss 2.5745 (2.5963) Prec@1 35.625 (36.947) Prec@5 65.625 (67.665) Epoch: [24][3620/11272] Time 0.722 (0.821) Data 0.001 (0.002) Loss 2.6753 (2.5964) Prec@1 40.000 (36.948) Prec@5 65.000 (67.662) Epoch: [24][3630/11272] Time 0.867 (0.821) Data 0.002 (0.002) Loss 2.4583 (2.5963) Prec@1 36.250 (36.947) Prec@5 74.375 (67.661) Epoch: [24][3640/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.9500 (2.5965) Prec@1 29.375 (36.941) Prec@5 61.875 (67.656) Epoch: [24][3650/11272] Time 0.726 (0.821) Data 0.001 (0.002) Loss 2.4293 (2.5964) Prec@1 35.625 (36.942) Prec@5 70.625 (67.657) Epoch: [24][3660/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.5677 (2.5963) Prec@1 38.125 (36.942) Prec@5 68.125 (67.660) Epoch: [24][3670/11272] Time 0.871 (0.821) Data 0.002 (0.002) Loss 2.5801 (2.5964) Prec@1 37.500 (36.941) Prec@5 70.000 (67.661) Epoch: [24][3680/11272] Time 0.727 (0.821) Data 0.001 (0.002) Loss 2.5641 (2.5964) Prec@1 40.625 (36.937) Prec@5 68.125 (67.661) Epoch: [24][3690/11272] Time 0.740 (0.821) Data 0.001 (0.002) Loss 2.7165 (2.5964) Prec@1 35.000 (36.937) Prec@5 65.625 (67.662) Epoch: [24][3700/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.6282 (2.5964) Prec@1 35.625 (36.935) Prec@5 66.875 (67.660) Epoch: [24][3710/11272] Time 0.848 (0.821) Data 0.002 (0.002) Loss 2.5739 (2.5964) Prec@1 36.250 (36.934) Prec@5 70.625 (67.664) Epoch: [24][3720/11272] Time 0.745 (0.821) Data 0.002 (0.002) Loss 2.3437 (2.5963) Prec@1 40.625 (36.933) Prec@5 71.875 (67.664) Epoch: [24][3730/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.4333 (2.5963) Prec@1 43.125 (36.930) Prec@5 70.000 (67.665) Epoch: [24][3740/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.6010 (2.5965) Prec@1 36.875 (36.928) Prec@5 66.250 (67.662) Epoch: [24][3750/11272] Time 0.864 (0.821) Data 0.002 (0.002) Loss 2.4191 (2.5965) Prec@1 37.500 (36.927) Prec@5 71.875 (67.665) Epoch: [24][3760/11272] Time 0.739 (0.821) Data 0.001 (0.002) Loss 2.3977 (2.5965) Prec@1 36.875 (36.926) Prec@5 70.625 (67.663) Epoch: [24][3770/11272] Time 0.751 (0.821) Data 0.002 (0.002) Loss 2.7318 (2.5966) Prec@1 35.000 (36.927) Prec@5 65.625 (67.660) Epoch: [24][3780/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.6254 (2.5966) Prec@1 36.250 (36.928) Prec@5 63.750 (67.662) Epoch: [24][3790/11272] Time 0.879 (0.821) Data 0.002 (0.002) Loss 2.4014 (2.5964) Prec@1 38.125 (36.929) Prec@5 75.000 (67.666) Epoch: [24][3800/11272] Time 0.756 (0.821) Data 0.002 (0.002) Loss 2.7688 (2.5964) Prec@1 33.125 (36.930) Prec@5 65.625 (67.665) Epoch: [24][3810/11272] Time 0.873 (0.821) Data 0.002 (0.002) Loss 2.4849 (2.5964) Prec@1 36.250 (36.929) Prec@5 73.750 (67.663) Epoch: [24][3820/11272] Time 0.861 (0.821) Data 0.002 (0.002) Loss 2.6146 (2.5964) Prec@1 39.375 (36.933) Prec@5 65.625 (67.662) Epoch: [24][3830/11272] Time 0.774 (0.821) Data 0.002 (0.002) Loss 2.6241 (2.5965) Prec@1 31.875 (36.931) Prec@5 65.000 (67.661) Epoch: [24][3840/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.6224 (2.5967) Prec@1 35.625 (36.931) Prec@5 66.250 (67.655) Epoch: [24][3850/11272] Time 0.897 (0.821) Data 0.002 (0.002) Loss 2.4172 (2.5966) Prec@1 36.250 (36.933) Prec@5 74.375 (67.659) Epoch: [24][3860/11272] Time 0.906 (0.821) Data 0.002 (0.002) Loss 2.3916 (2.5966) Prec@1 46.250 (36.937) Prec@5 71.250 (67.658) Epoch: [24][3870/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.4585 (2.5965) Prec@1 35.625 (36.934) Prec@5 67.500 (67.660) Epoch: [24][3880/11272] Time 0.736 (0.821) Data 0.001 (0.002) Loss 2.1780 (2.5963) Prec@1 42.500 (36.942) Prec@5 76.250 (67.666) Epoch: [24][3890/11272] Time 0.896 (0.821) Data 0.002 (0.002) Loss 2.7078 (2.5961) Prec@1 36.875 (36.944) Prec@5 68.750 (67.670) Epoch: [24][3900/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.7520 (2.5963) Prec@1 33.750 (36.937) Prec@5 61.875 (67.663) Epoch: [24][3910/11272] Time 0.728 (0.821) Data 0.002 (0.002) Loss 2.6171 (2.5963) Prec@1 33.750 (36.939) Prec@5 69.375 (67.661) Epoch: [24][3920/11272] Time 0.752 (0.821) Data 0.002 (0.002) Loss 2.8096 (2.5964) Prec@1 32.500 (36.937) Prec@5 63.750 (67.659) Epoch: [24][3930/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.6679 (2.5965) Prec@1 41.875 (36.938) Prec@5 67.500 (67.658) Epoch: [24][3940/11272] Time 0.786 (0.821) Data 0.004 (0.002) Loss 2.5814 (2.5965) Prec@1 33.125 (36.940) Prec@5 67.500 (67.659) Epoch: [24][3950/11272] Time 0.728 (0.821) Data 0.001 (0.002) Loss 2.8416 (2.5965) Prec@1 29.375 (36.941) Prec@5 59.375 (67.657) Epoch: [24][3960/11272] Time 0.951 (0.821) Data 0.001 (0.002) Loss 2.4069 (2.5965) Prec@1 38.125 (36.935) Prec@5 71.250 (67.657) Epoch: [24][3970/11272] Time 0.930 (0.821) Data 0.002 (0.002) Loss 2.7217 (2.5966) Prec@1 33.750 (36.932) Prec@5 63.125 (67.656) Epoch: [24][3980/11272] Time 0.727 (0.821) Data 0.002 (0.002) Loss 2.4147 (2.5964) Prec@1 38.750 (36.934) Prec@5 70.000 (67.658) Epoch: [24][3990/11272] Time 0.729 (0.821) Data 0.002 (0.002) Loss 2.9301 (2.5963) Prec@1 30.625 (36.935) Prec@5 63.750 (67.665) Epoch: [24][4000/11272] Time 0.854 (0.821) Data 0.002 (0.002) Loss 2.5790 (2.5962) Prec@1 36.875 (36.936) Prec@5 64.375 (67.667) Epoch: [24][4010/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.3954 (2.5962) Prec@1 45.000 (36.936) Prec@5 72.500 (67.669) Epoch: [24][4020/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.6513 (2.5962) Prec@1 35.000 (36.937) Prec@5 63.750 (67.671) Epoch: [24][4030/11272] Time 0.792 (0.821) Data 0.002 (0.002) Loss 2.6014 (2.5961) Prec@1 35.000 (36.943) Prec@5 65.000 (67.670) Epoch: [24][4040/11272] Time 0.871 (0.821) Data 0.001 (0.002) Loss 2.7862 (2.5964) Prec@1 33.750 (36.938) Prec@5 65.000 (67.665) Epoch: [24][4050/11272] Time 0.952 (0.821) Data 0.002 (0.002) Loss 2.4642 (2.5964) Prec@1 38.125 (36.938) Prec@5 73.125 (67.666) Epoch: [24][4060/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.8229 (2.5964) Prec@1 31.250 (36.939) Prec@5 68.750 (67.669) Epoch: [24][4070/11272] Time 0.911 (0.821) Data 0.002 (0.002) Loss 2.4947 (2.5963) Prec@1 39.375 (36.939) Prec@5 68.750 (67.674) Epoch: [24][4080/11272] Time 0.930 (0.821) Data 0.002 (0.002) Loss 2.4080 (2.5963) Prec@1 43.125 (36.939) Prec@5 75.625 (67.677) Epoch: [24][4090/11272] Time 0.789 (0.821) Data 0.001 (0.002) Loss 2.5439 (2.5964) Prec@1 40.000 (36.939) Prec@5 69.375 (67.674) Epoch: [24][4100/11272] Time 0.750 (0.821) Data 0.002 (0.002) Loss 2.4401 (2.5964) Prec@1 38.125 (36.936) Prec@5 71.875 (67.673) Epoch: [24][4110/11272] Time 0.837 (0.821) Data 0.002 (0.002) Loss 2.5541 (2.5965) Prec@1 35.000 (36.934) Prec@5 68.125 (67.672) Epoch: [24][4120/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.5478 (2.5964) Prec@1 37.500 (36.935) Prec@5 72.500 (67.673) Epoch: [24][4130/11272] Time 0.765 (0.821) Data 0.002 (0.002) Loss 2.4788 (2.5962) Prec@1 36.875 (36.940) Prec@5 70.000 (67.679) Epoch: [24][4140/11272] Time 0.789 (0.821) Data 0.002 (0.002) Loss 2.8102 (2.5963) Prec@1 31.250 (36.933) Prec@5 65.625 (67.674) Epoch: [24][4150/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.5078 (2.5964) Prec@1 34.375 (36.926) Prec@5 70.625 (67.677) Epoch: [24][4160/11272] Time 0.861 (0.821) Data 0.002 (0.002) Loss 3.0104 (2.5966) Prec@1 36.250 (36.924) Prec@5 61.250 (67.674) Epoch: [24][4170/11272] Time 0.784 (0.821) Data 0.003 (0.002) Loss 2.7134 (2.5966) Prec@1 36.875 (36.924) Prec@5 64.375 (67.672) Epoch: [24][4180/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.5397 (2.5964) Prec@1 35.625 (36.923) Prec@5 70.000 (67.676) Epoch: [24][4190/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.7160 (2.5965) Prec@1 36.250 (36.921) Prec@5 66.250 (67.673) Epoch: [24][4200/11272] Time 0.769 (0.821) Data 0.003 (0.002) Loss 2.7039 (2.5967) Prec@1 33.125 (36.918) Prec@5 61.875 (67.670) Epoch: [24][4210/11272] Time 0.786 (0.821) Data 0.002 (0.002) Loss 3.1300 (2.5970) Prec@1 22.500 (36.912) Prec@5 50.000 (67.658) Epoch: [24][4220/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.6516 (2.5972) Prec@1 35.000 (36.912) Prec@5 69.375 (67.657) Epoch: [24][4230/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.8357 (2.5973) Prec@1 30.625 (36.905) Prec@5 66.250 (67.655) Epoch: [24][4240/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.4481 (2.5973) Prec@1 44.375 (36.900) Prec@5 72.500 (67.659) Epoch: [24][4250/11272] Time 0.772 (0.821) Data 0.003 (0.002) Loss 2.4121 (2.5974) Prec@1 40.625 (36.896) Prec@5 71.875 (67.658) Epoch: [24][4260/11272] Time 0.855 (0.821) Data 0.001 (0.002) Loss 2.7569 (2.5977) Prec@1 31.875 (36.891) Prec@5 65.625 (67.653) Epoch: [24][4270/11272] Time 0.884 (0.821) Data 0.002 (0.002) Loss 2.7222 (2.5977) Prec@1 36.250 (36.888) Prec@5 70.625 (67.657) Epoch: [24][4280/11272] Time 0.726 (0.821) Data 0.001 (0.002) Loss 2.4619 (2.5976) Prec@1 40.000 (36.890) Prec@5 69.375 (67.663) Epoch: [24][4290/11272] Time 0.749 (0.821) Data 0.001 (0.002) Loss 2.5515 (2.5976) Prec@1 33.125 (36.887) Prec@5 67.500 (67.665) Epoch: [24][4300/11272] Time 0.864 (0.821) Data 0.002 (0.002) Loss 2.5960 (2.5978) Prec@1 45.000 (36.883) Prec@5 67.500 (67.664) Epoch: [24][4310/11272] Time 0.873 (0.821) Data 0.001 (0.002) Loss 2.4882 (2.5979) Prec@1 36.875 (36.876) Prec@5 71.875 (67.662) Epoch: [24][4320/11272] Time 0.723 (0.821) Data 0.001 (0.002) Loss 2.5967 (2.5979) Prec@1 31.875 (36.874) Prec@5 68.125 (67.664) Epoch: [24][4330/11272] Time 0.875 (0.821) Data 0.001 (0.002) Loss 2.6761 (2.5978) Prec@1 35.625 (36.876) Prec@5 66.250 (67.667) Epoch: [24][4340/11272] Time 0.902 (0.821) Data 0.002 (0.002) Loss 2.5435 (2.5979) Prec@1 38.125 (36.878) Prec@5 66.875 (67.665) Epoch: [24][4350/11272] Time 0.764 (0.821) Data 0.001 (0.002) Loss 2.7205 (2.5980) Prec@1 34.375 (36.876) Prec@5 66.875 (67.663) Epoch: [24][4360/11272] Time 0.777 (0.821) Data 0.002 (0.002) Loss 2.9796 (2.5979) Prec@1 35.000 (36.878) Prec@5 61.250 (67.663) Epoch: [24][4370/11272] Time 0.851 (0.821) Data 0.001 (0.002) Loss 2.4794 (2.5979) Prec@1 33.125 (36.876) Prec@5 71.250 (67.663) Epoch: [24][4380/11272] Time 0.879 (0.821) Data 0.002 (0.002) Loss 2.3968 (2.5980) Prec@1 44.375 (36.876) Prec@5 72.500 (67.661) Epoch: [24][4390/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.4553 (2.5979) Prec@1 37.500 (36.881) Prec@5 68.125 (67.664) Epoch: [24][4400/11272] Time 0.768 (0.821) Data 0.002 (0.002) Loss 2.4250 (2.5979) Prec@1 36.250 (36.880) Prec@5 70.625 (67.662) Epoch: [24][4410/11272] Time 0.907 (0.821) Data 0.002 (0.002) Loss 2.5569 (2.5980) Prec@1 43.750 (36.880) Prec@5 68.125 (67.663) Epoch: [24][4420/11272] Time 0.856 (0.821) Data 0.001 (0.002) Loss 2.7327 (2.5979) Prec@1 36.875 (36.880) Prec@5 62.500 (67.662) Epoch: [24][4430/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.7488 (2.5979) Prec@1 36.875 (36.877) Prec@5 66.250 (67.666) Epoch: [24][4440/11272] Time 0.724 (0.821) Data 0.001 (0.002) Loss 2.7678 (2.5981) Prec@1 31.875 (36.873) Prec@5 63.125 (67.663) Epoch: [24][4450/11272] Time 0.892 (0.821) Data 0.002 (0.002) Loss 2.6224 (2.5980) Prec@1 37.500 (36.877) Prec@5 65.000 (67.665) Epoch: [24][4460/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.6235 (2.5982) Prec@1 36.875 (36.876) Prec@5 63.750 (67.663) Epoch: [24][4470/11272] Time 0.760 (0.821) Data 0.002 (0.002) Loss 2.6240 (2.5980) Prec@1 35.000 (36.876) Prec@5 68.750 (67.665) Epoch: [24][4480/11272] Time 0.919 (0.821) Data 0.002 (0.002) Loss 2.6110 (2.5979) Prec@1 38.125 (36.880) Prec@5 68.750 (67.669) Epoch: [24][4490/11272] Time 0.892 (0.821) Data 0.002 (0.002) Loss 2.5597 (2.5977) Prec@1 33.750 (36.885) Prec@5 68.125 (67.672) Epoch: [24][4500/11272] Time 0.735 (0.821) Data 0.001 (0.002) Loss 2.5304 (2.5977) Prec@1 36.250 (36.884) Prec@5 66.250 (67.673) Epoch: [24][4510/11272] Time 0.736 (0.821) Data 0.001 (0.002) Loss 2.5018 (2.5975) Prec@1 34.375 (36.884) Prec@5 66.250 (67.676) Epoch: [24][4520/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.6560 (2.5973) Prec@1 38.125 (36.886) Prec@5 68.125 (67.682) Epoch: [24][4530/11272] Time 0.940 (0.821) Data 0.002 (0.002) Loss 2.6115 (2.5973) Prec@1 37.500 (36.888) Prec@5 68.750 (67.681) Epoch: [24][4540/11272] Time 0.734 (0.821) Data 0.001 (0.002) Loss 2.5148 (2.5973) Prec@1 39.375 (36.886) Prec@5 68.750 (67.682) Epoch: [24][4550/11272] Time 0.759 (0.821) Data 0.002 (0.002) Loss 2.5402 (2.5974) Prec@1 31.875 (36.881) Prec@5 66.250 (67.679) Epoch: [24][4560/11272] Time 0.881 (0.821) Data 0.002 (0.002) Loss 2.6252 (2.5974) Prec@1 33.125 (36.878) Prec@5 66.250 (67.681) Epoch: [24][4570/11272] Time 0.897 (0.821) Data 0.002 (0.002) Loss 2.7178 (2.5976) Prec@1 34.375 (36.873) Prec@5 62.500 (67.679) Epoch: [24][4580/11272] Time 0.757 (0.821) Data 0.002 (0.002) Loss 2.4200 (2.5975) Prec@1 42.500 (36.876) Prec@5 68.125 (67.678) Epoch: [24][4590/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.6092 (2.5976) Prec@1 37.500 (36.874) Prec@5 62.500 (67.675) Epoch: [24][4600/11272] Time 0.840 (0.821) Data 0.001 (0.002) Loss 2.4077 (2.5975) Prec@1 43.125 (36.878) Prec@5 71.875 (67.678) Epoch: [24][4610/11272] Time 0.739 (0.821) Data 0.001 (0.002) Loss 2.8005 (2.5975) Prec@1 29.375 (36.875) Prec@5 66.250 (67.675) Epoch: [24][4620/11272] Time 0.787 (0.821) Data 0.002 (0.002) Loss 3.1163 (2.5976) Prec@1 27.500 (36.871) Prec@5 56.250 (67.675) Epoch: [24][4630/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.5174 (2.5976) Prec@1 38.750 (36.873) Prec@5 68.750 (67.677) Epoch: [24][4640/11272] Time 0.919 (0.821) Data 0.002 (0.002) Loss 2.5066 (2.5977) Prec@1 36.250 (36.866) Prec@5 67.500 (67.675) Epoch: [24][4650/11272] Time 0.734 (0.821) Data 0.002 (0.002) Loss 2.7930 (2.5976) Prec@1 35.000 (36.869) Prec@5 66.875 (67.678) Epoch: [24][4660/11272] Time 0.753 (0.821) Data 0.001 (0.002) Loss 2.3990 (2.5976) Prec@1 38.125 (36.867) Prec@5 73.750 (67.679) Epoch: [24][4670/11272] Time 0.911 (0.821) Data 0.002 (0.002) Loss 2.7157 (2.5974) Prec@1 33.125 (36.870) Prec@5 63.125 (67.682) Epoch: [24][4680/11272] Time 0.911 (0.821) Data 0.002 (0.002) Loss 2.6624 (2.5973) Prec@1 26.250 (36.868) Prec@5 64.375 (67.682) Epoch: [24][4690/11272] Time 0.750 (0.821) Data 0.001 (0.002) Loss 2.5654 (2.5974) Prec@1 36.875 (36.871) Prec@5 68.125 (67.679) Epoch: [24][4700/11272] Time 0.735 (0.821) Data 0.001 (0.002) Loss 2.3712 (2.5973) Prec@1 39.375 (36.871) Prec@5 72.500 (67.680) Epoch: [24][4710/11272] Time 0.888 (0.821) Data 0.002 (0.002) Loss 2.5907 (2.5972) Prec@1 39.375 (36.869) Prec@5 68.125 (67.683) Epoch: [24][4720/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.7236 (2.5973) Prec@1 40.625 (36.869) Prec@5 67.500 (67.681) Epoch: [24][4730/11272] Time 0.734 (0.821) Data 0.002 (0.002) Loss 2.7439 (2.5973) Prec@1 39.375 (36.871) Prec@5 61.875 (67.680) Epoch: [24][4740/11272] Time 0.884 (0.821) Data 0.001 (0.002) Loss 2.6570 (2.5972) Prec@1 36.250 (36.873) Prec@5 66.875 (67.683) Epoch: [24][4750/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.4943 (2.5972) Prec@1 42.500 (36.874) Prec@5 68.125 (67.684) Epoch: [24][4760/11272] Time 0.767 (0.821) Data 0.001 (0.002) Loss 2.9401 (2.5972) Prec@1 28.750 (36.875) Prec@5 56.875 (67.683) Epoch: [24][4770/11272] Time 0.778 (0.821) Data 0.002 (0.002) Loss 2.8629 (2.5973) Prec@1 33.125 (36.877) Prec@5 61.875 (67.681) Epoch: [24][4780/11272] Time 0.887 (0.821) Data 0.002 (0.002) Loss 2.7932 (2.5974) Prec@1 36.250 (36.878) Prec@5 60.625 (67.679) Epoch: [24][4790/11272] Time 0.883 (0.821) Data 0.001 (0.002) Loss 2.7358 (2.5976) Prec@1 36.250 (36.875) Prec@5 62.500 (67.674) Epoch: [24][4800/11272] Time 0.757 (0.821) Data 0.002 (0.002) Loss 2.7117 (2.5977) Prec@1 35.000 (36.873) Prec@5 67.500 (67.674) Epoch: [24][4810/11272] Time 0.738 (0.821) Data 0.002 (0.002) Loss 2.6636 (2.5977) Prec@1 32.500 (36.870) Prec@5 63.125 (67.676) Epoch: [24][4820/11272] Time 0.917 (0.821) Data 0.002 (0.002) Loss 2.5609 (2.5979) Prec@1 36.250 (36.864) Prec@5 66.250 (67.671) Epoch: [24][4830/11272] Time 0.887 (0.821) Data 0.002 (0.002) Loss 2.5212 (2.5979) Prec@1 42.500 (36.866) Prec@5 66.875 (67.672) Epoch: [24][4840/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.5097 (2.5979) Prec@1 40.625 (36.863) Prec@5 70.000 (67.671) Epoch: [24][4850/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.5358 (2.5978) Prec@1 35.625 (36.866) Prec@5 68.125 (67.676) Epoch: [24][4860/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.5639 (2.5977) Prec@1 40.625 (36.866) Prec@5 67.500 (67.676) Epoch: [24][4870/11272] Time 0.735 (0.821) Data 0.002 (0.002) Loss 2.5776 (2.5975) Prec@1 35.625 (36.867) Prec@5 71.250 (67.681) Epoch: [24][4880/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.5655 (2.5974) Prec@1 36.250 (36.873) Prec@5 68.125 (67.684) Epoch: [24][4890/11272] Time 0.860 (0.821) Data 0.002 (0.002) Loss 2.4803 (2.5973) Prec@1 43.125 (36.877) Prec@5 68.750 (67.687) Epoch: [24][4900/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.4811 (2.5975) Prec@1 40.000 (36.872) Prec@5 68.125 (67.678) Epoch: [24][4910/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.7958 (2.5976) Prec@1 40.000 (36.874) Prec@5 61.875 (67.677) Epoch: [24][4920/11272] Time 0.729 (0.821) Data 0.001 (0.002) Loss 2.6303 (2.5976) Prec@1 35.625 (36.874) Prec@5 68.750 (67.679) Epoch: [24][4930/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.5770 (2.5975) Prec@1 36.875 (36.877) Prec@5 70.625 (67.683) Epoch: [24][4940/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.6717 (2.5975) Prec@1 39.375 (36.880) Prec@5 63.125 (67.683) Epoch: [24][4950/11272] Time 0.745 (0.821) Data 0.002 (0.002) Loss 2.6290 (2.5974) Prec@1 37.500 (36.883) Prec@5 63.750 (67.684) Epoch: [24][4960/11272] Time 0.733 (0.821) Data 0.001 (0.002) Loss 2.9108 (2.5978) Prec@1 32.500 (36.875) Prec@5 61.250 (67.678) Epoch: [24][4970/11272] Time 0.884 (0.821) Data 0.002 (0.002) Loss 2.6101 (2.5980) Prec@1 36.875 (36.872) Prec@5 67.500 (67.675) Epoch: [24][4980/11272] Time 0.960 (0.821) Data 0.002 (0.002) Loss 2.8008 (2.5982) Prec@1 30.625 (36.869) Prec@5 63.125 (67.672) Epoch: [24][4990/11272] Time 0.759 (0.821) Data 0.002 (0.002) Loss 2.5485 (2.5981) Prec@1 36.875 (36.871) Prec@5 67.500 (67.672) Epoch: [24][5000/11272] Time 0.936 (0.821) Data 0.002 (0.002) Loss 2.5439 (2.5980) Prec@1 38.750 (36.875) Prec@5 66.875 (67.674) Epoch: [24][5010/11272] Time 0.930 (0.821) Data 0.003 (0.002) Loss 2.6274 (2.5982) Prec@1 29.375 (36.871) Prec@5 71.250 (67.671) Epoch: [24][5020/11272] Time 0.786 (0.821) Data 0.002 (0.002) Loss 2.6656 (2.5983) Prec@1 37.500 (36.870) Prec@5 66.875 (67.667) Epoch: [24][5030/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.7574 (2.5984) Prec@1 31.875 (36.868) Prec@5 64.375 (67.664) Epoch: [24][5040/11272] Time 0.907 (0.821) Data 0.002 (0.002) Loss 3.0245 (2.5982) Prec@1 31.250 (36.872) Prec@5 59.375 (67.666) Epoch: [24][5050/11272] Time 0.920 (0.821) Data 0.002 (0.002) Loss 2.6514 (2.5982) Prec@1 34.375 (36.871) Prec@5 66.875 (67.665) Epoch: [24][5060/11272] Time 0.735 (0.821) Data 0.002 (0.002) Loss 2.5307 (2.5982) Prec@1 37.500 (36.871) Prec@5 70.000 (67.668) Epoch: [24][5070/11272] Time 0.734 (0.821) Data 0.001 (0.002) Loss 2.9298 (2.5984) Prec@1 28.750 (36.867) Prec@5 63.750 (67.665) Epoch: [24][5080/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.5884 (2.5983) Prec@1 37.500 (36.870) Prec@5 71.250 (67.665) Epoch: [24][5090/11272] Time 0.926 (0.821) Data 0.001 (0.002) Loss 2.3101 (2.5981) Prec@1 41.250 (36.872) Prec@5 70.000 (67.673) Epoch: [24][5100/11272] Time 0.727 (0.821) Data 0.001 (0.002) Loss 2.7192 (2.5982) Prec@1 28.125 (36.869) Prec@5 65.000 (67.669) Epoch: [24][5110/11272] Time 0.818 (0.821) Data 0.002 (0.002) Loss 2.8156 (2.5983) Prec@1 31.875 (36.868) Prec@5 60.000 (67.665) Epoch: [24][5120/11272] Time 0.889 (0.821) Data 0.002 (0.002) Loss 2.6559 (2.5983) Prec@1 39.375 (36.871) Prec@5 64.375 (67.666) Epoch: [24][5130/11272] Time 0.738 (0.821) Data 0.004 (0.002) Loss 2.4615 (2.5983) Prec@1 41.250 (36.874) Prec@5 64.375 (67.665) Epoch: [24][5140/11272] Time 0.705 (0.821) Data 0.001 (0.002) Loss 2.6729 (2.5983) Prec@1 36.250 (36.874) Prec@5 66.250 (67.663) Epoch: [24][5150/11272] Time 0.858 (0.821) Data 0.002 (0.002) Loss 2.5461 (2.5984) Prec@1 38.125 (36.872) Prec@5 62.500 (67.662) Epoch: [24][5160/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.8568 (2.5984) Prec@1 35.000 (36.872) Prec@5 61.250 (67.662) Epoch: [24][5170/11272] Time 0.724 (0.821) Data 0.002 (0.002) Loss 2.6114 (2.5984) Prec@1 32.500 (36.871) Prec@5 67.500 (67.664) Epoch: [24][5180/11272] Time 0.741 (0.821) Data 0.002 (0.002) Loss 2.6402 (2.5983) Prec@1 32.500 (36.874) Prec@5 70.000 (67.666) Epoch: [24][5190/11272] Time 0.913 (0.821) Data 0.003 (0.002) Loss 2.8489 (2.5983) Prec@1 31.875 (36.871) Prec@5 61.875 (67.665) Epoch: [24][5200/11272] Time 0.900 (0.821) Data 0.002 (0.002) Loss 2.7485 (2.5983) Prec@1 36.250 (36.872) Prec@5 67.500 (67.668) Epoch: [24][5210/11272] Time 0.724 (0.821) Data 0.001 (0.002) Loss 2.5608 (2.5983) Prec@1 33.125 (36.871) Prec@5 68.750 (67.666) Epoch: [24][5220/11272] Time 0.740 (0.821) Data 0.002 (0.002) Loss 2.5343 (2.5983) Prec@1 38.750 (36.872) Prec@5 67.500 (67.669) Epoch: [24][5230/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.6744 (2.5983) Prec@1 35.625 (36.870) Prec@5 65.000 (67.670) Epoch: [24][5240/11272] Time 0.896 (0.821) Data 0.002 (0.002) Loss 2.5986 (2.5984) Prec@1 38.750 (36.867) Prec@5 66.250 (67.666) Epoch: [24][5250/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.6033 (2.5985) Prec@1 30.625 (36.865) Prec@5 67.500 (67.661) Epoch: [24][5260/11272] Time 0.827 (0.821) Data 0.002 (0.002) Loss 2.9595 (2.5985) Prec@1 33.750 (36.865) Prec@5 56.875 (67.660) Epoch: [24][5270/11272] Time 0.867 (0.821) Data 0.002 (0.002) Loss 2.7697 (2.5985) Prec@1 35.000 (36.866) Prec@5 63.750 (67.662) Epoch: [24][5280/11272] Time 0.746 (0.821) Data 0.002 (0.002) Loss 2.9299 (2.5985) Prec@1 31.250 (36.865) Prec@5 61.875 (67.662) Epoch: [24][5290/11272] Time 0.750 (0.821) Data 0.002 (0.002) Loss 2.6562 (2.5987) Prec@1 31.250 (36.862) Prec@5 71.250 (67.660) Epoch: [24][5300/11272] Time 0.840 (0.821) Data 0.001 (0.002) Loss 2.8029 (2.5987) Prec@1 35.625 (36.862) Prec@5 63.750 (67.659) Epoch: [24][5310/11272] Time 0.897 (0.821) Data 0.002 (0.002) Loss 2.8620 (2.5988) Prec@1 31.875 (36.859) Prec@5 65.000 (67.658) Epoch: [24][5320/11272] Time 0.735 (0.821) Data 0.001 (0.002) Loss 2.7101 (2.5987) Prec@1 36.875 (36.861) Prec@5 64.375 (67.660) Epoch: [24][5330/11272] Time 0.727 (0.821) Data 0.001 (0.002) Loss 2.4487 (2.5988) Prec@1 37.500 (36.861) Prec@5 68.750 (67.659) Epoch: [24][5340/11272] Time 0.871 (0.821) Data 0.002 (0.002) Loss 2.4383 (2.5989) Prec@1 40.000 (36.862) Prec@5 66.250 (67.657) Epoch: [24][5350/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.6253 (2.5989) Prec@1 37.500 (36.865) Prec@5 68.750 (67.657) Epoch: [24][5360/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.5363 (2.5988) Prec@1 31.250 (36.865) Prec@5 71.875 (67.658) Epoch: [24][5370/11272] Time 0.737 (0.821) Data 0.001 (0.002) Loss 2.5135 (2.5987) Prec@1 39.375 (36.867) Prec@5 68.750 (67.659) Epoch: [24][5380/11272] Time 0.860 (0.821) Data 0.002 (0.002) Loss 2.3266 (2.5987) Prec@1 40.000 (36.868) Prec@5 71.250 (67.661) Epoch: [24][5390/11272] Time 0.861 (0.821) Data 0.002 (0.002) Loss 2.5359 (2.5985) Prec@1 36.250 (36.869) Prec@5 70.625 (67.668) Epoch: [24][5400/11272] Time 0.772 (0.821) Data 0.002 (0.002) Loss 2.6079 (2.5984) Prec@1 36.875 (36.871) Prec@5 68.750 (67.668) Epoch: [24][5410/11272] Time 0.858 (0.821) Data 0.002 (0.002) Loss 2.5941 (2.5984) Prec@1 32.500 (36.871) Prec@5 65.625 (67.669) Epoch: [24][5420/11272] Time 0.878 (0.821) Data 0.002 (0.002) Loss 2.5166 (2.5983) Prec@1 42.500 (36.875) Prec@5 70.000 (67.669) Epoch: [24][5430/11272] Time 0.766 (0.821) Data 0.002 (0.002) Loss 2.4139 (2.5984) Prec@1 36.875 (36.874) Prec@5 68.750 (67.666) Epoch: [24][5440/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.3527 (2.5985) Prec@1 40.625 (36.871) Prec@5 73.125 (67.668) Epoch: [24][5450/11272] Time 0.889 (0.821) Data 0.002 (0.002) Loss 2.5630 (2.5985) Prec@1 39.375 (36.867) Prec@5 70.000 (67.670) Epoch: [24][5460/11272] Time 0.958 (0.821) Data 0.002 (0.002) Loss 2.7085 (2.5985) Prec@1 32.500 (36.867) Prec@5 63.750 (67.671) Epoch: [24][5470/11272] Time 0.769 (0.821) Data 0.002 (0.002) Loss 2.4938 (2.5985) Prec@1 35.625 (36.866) Prec@5 67.500 (67.669) Epoch: [24][5480/11272] Time 0.762 (0.821) Data 0.002 (0.002) Loss 2.5502 (2.5984) Prec@1 35.000 (36.866) Prec@5 71.875 (67.670) Epoch: [24][5490/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.6055 (2.5984) Prec@1 40.000 (36.869) Prec@5 64.375 (67.669) Epoch: [24][5500/11272] Time 0.963 (0.821) Data 0.002 (0.002) Loss 2.6856 (2.5984) Prec@1 31.250 (36.869) Prec@5 67.500 (67.667) Epoch: [24][5510/11272] Time 0.776 (0.821) Data 0.002 (0.002) Loss 2.4628 (2.5985) Prec@1 39.375 (36.864) Prec@5 66.250 (67.665) Epoch: [24][5520/11272] Time 0.731 (0.821) Data 0.001 (0.002) Loss 2.5027 (2.5986) Prec@1 40.000 (36.865) Prec@5 69.375 (67.660) Epoch: [24][5530/11272] Time 0.916 (0.821) Data 0.002 (0.002) Loss 2.6743 (2.5987) Prec@1 36.875 (36.866) Prec@5 66.250 (67.659) Epoch: [24][5540/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.7441 (2.5988) Prec@1 36.250 (36.865) Prec@5 66.250 (67.658) Epoch: [24][5550/11272] Time 0.723 (0.821) Data 0.001 (0.002) Loss 2.5185 (2.5987) Prec@1 38.125 (36.867) Prec@5 70.000 (67.659) Epoch: [24][5560/11272] Time 0.906 (0.821) Data 0.002 (0.002) Loss 2.5567 (2.5986) Prec@1 36.250 (36.867) Prec@5 72.500 (67.662) Epoch: [24][5570/11272] Time 0.909 (0.821) Data 0.002 (0.002) Loss 2.8566 (2.5987) Prec@1 36.250 (36.867) Prec@5 61.250 (67.659) Epoch: [24][5580/11272] Time 0.734 (0.821) Data 0.001 (0.002) Loss 2.5128 (2.5987) Prec@1 41.250 (36.864) Prec@5 71.250 (67.659) Epoch: [24][5590/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.7574 (2.5987) Prec@1 35.625 (36.864) Prec@5 66.875 (67.660) Epoch: [24][5600/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.6728 (2.5986) Prec@1 32.500 (36.865) Prec@5 65.625 (67.663) Epoch: [24][5610/11272] Time 0.867 (0.821) Data 0.002 (0.002) Loss 2.4391 (2.5986) Prec@1 34.375 (36.864) Prec@5 70.000 (67.661) Epoch: [24][5620/11272] Time 0.738 (0.821) Data 0.002 (0.002) Loss 2.7772 (2.5986) Prec@1 35.000 (36.863) Prec@5 64.375 (67.659) Epoch: [24][5630/11272] Time 0.774 (0.821) Data 0.002 (0.002) Loss 2.8331 (2.5986) Prec@1 29.375 (36.862) Prec@5 63.125 (67.659) Epoch: [24][5640/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.6487 (2.5986) Prec@1 32.500 (36.861) Prec@5 66.250 (67.660) Epoch: [24][5650/11272] Time 0.908 (0.821) Data 0.002 (0.002) Loss 2.5896 (2.5986) Prec@1 31.250 (36.860) Prec@5 65.000 (67.660) Epoch: [24][5660/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.7036 (2.5986) Prec@1 40.000 (36.861) Prec@5 68.750 (67.662) Epoch: [24][5670/11272] Time 0.900 (0.821) Data 0.002 (0.002) Loss 2.4424 (2.5987) Prec@1 38.750 (36.859) Prec@5 72.500 (67.663) Epoch: [24][5680/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.7011 (2.5987) Prec@1 38.125 (36.863) Prec@5 66.250 (67.661) Epoch: [24][5690/11272] Time 0.723 (0.821) Data 0.001 (0.002) Loss 2.6323 (2.5988) Prec@1 37.500 (36.862) Prec@5 66.875 (67.657) Epoch: [24][5700/11272] Time 0.732 (0.821) Data 0.001 (0.002) Loss 2.5426 (2.5988) Prec@1 36.250 (36.863) Prec@5 70.000 (67.656) Epoch: [24][5710/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.7102 (2.5987) Prec@1 33.125 (36.865) Prec@5 64.375 (67.658) Epoch: [24][5720/11272] Time 0.876 (0.821) Data 0.002 (0.002) Loss 2.7290 (2.5989) Prec@1 35.000 (36.862) Prec@5 61.250 (67.653) Epoch: [24][5730/11272] Time 0.716 (0.821) Data 0.001 (0.002) Loss 2.7484 (2.5989) Prec@1 42.500 (36.863) Prec@5 64.375 (67.652) Epoch: [24][5740/11272] Time 0.735 (0.821) Data 0.001 (0.002) Loss 2.5069 (2.5989) Prec@1 37.500 (36.861) Prec@5 67.500 (67.652) Epoch: [24][5750/11272] Time 0.898 (0.821) Data 0.002 (0.002) Loss 2.8752 (2.5992) Prec@1 33.750 (36.858) Prec@5 61.875 (67.649) Epoch: [24][5760/11272] Time 0.903 (0.821) Data 0.002 (0.002) Loss 2.9050 (2.5992) Prec@1 28.125 (36.856) Prec@5 62.500 (67.651) Epoch: [24][5770/11272] Time 0.733 (0.821) Data 0.001 (0.002) Loss 2.8434 (2.5993) Prec@1 33.125 (36.855) Prec@5 58.750 (67.651) Epoch: [24][5780/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.7019 (2.5993) Prec@1 31.875 (36.855) Prec@5 68.125 (67.651) Epoch: [24][5790/11272] Time 0.932 (0.821) Data 0.002 (0.002) Loss 2.6789 (2.5993) Prec@1 35.000 (36.854) Prec@5 68.750 (67.652) Epoch: [24][5800/11272] Time 0.747 (0.821) Data 0.004 (0.002) Loss 2.4941 (2.5992) Prec@1 37.500 (36.854) Prec@5 67.500 (67.656) Epoch: [24][5810/11272] Time 0.808 (0.821) Data 0.002 (0.002) Loss 2.7005 (2.5993) Prec@1 34.375 (36.852) Prec@5 68.125 (67.657) Epoch: [24][5820/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.6139 (2.5992) Prec@1 38.125 (36.851) Prec@5 69.375 (67.659) Epoch: [24][5830/11272] Time 0.903 (0.821) Data 0.002 (0.002) Loss 2.6428 (2.5993) Prec@1 40.000 (36.848) Prec@5 66.250 (67.659) Epoch: [24][5840/11272] Time 0.754 (0.821) Data 0.002 (0.002) Loss 2.3487 (2.5992) Prec@1 38.750 (36.850) Prec@5 74.375 (67.661) Epoch: [24][5850/11272] Time 0.749 (0.821) Data 0.001 (0.002) Loss 2.4544 (2.5992) Prec@1 42.500 (36.852) Prec@5 71.250 (67.661) Epoch: [24][5860/11272] Time 0.924 (0.821) Data 0.002 (0.002) Loss 2.5532 (2.5992) Prec@1 42.500 (36.856) Prec@5 71.875 (67.661) Epoch: [24][5870/11272] Time 0.908 (0.821) Data 0.002 (0.002) Loss 2.5448 (2.5991) Prec@1 35.000 (36.860) Prec@5 72.500 (67.665) Epoch: [24][5880/11272] Time 0.742 (0.821) Data 0.002 (0.002) Loss 2.6665 (2.5989) Prec@1 35.625 (36.863) Prec@5 65.625 (67.667) Epoch: [24][5890/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.4610 (2.5990) Prec@1 40.625 (36.863) Prec@5 70.000 (67.666) Epoch: [24][5900/11272] Time 0.891 (0.821) Data 0.001 (0.002) Loss 2.6538 (2.5988) Prec@1 35.625 (36.866) Prec@5 68.125 (67.671) Epoch: [24][5910/11272] Time 0.945 (0.821) Data 0.002 (0.002) Loss 2.5164 (2.5987) Prec@1 38.125 (36.866) Prec@5 65.000 (67.673) Epoch: [24][5920/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.2627 (2.5988) Prec@1 43.750 (36.865) Prec@5 73.125 (67.669) Epoch: [24][5930/11272] Time 0.907 (0.821) Data 0.002 (0.002) Loss 2.4660 (2.5987) Prec@1 40.625 (36.866) Prec@5 71.875 (67.671) Epoch: [24][5940/11272] Time 0.920 (0.821) Data 0.002 (0.002) Loss 2.6433 (2.5987) Prec@1 39.375 (36.867) Prec@5 68.125 (67.670) Epoch: [24][5950/11272] Time 0.722 (0.821) Data 0.001 (0.002) Loss 2.7084 (2.5988) Prec@1 35.625 (36.864) Prec@5 66.875 (67.669) Epoch: [24][5960/11272] Time 0.822 (0.821) Data 0.002 (0.002) Loss 2.3955 (2.5988) Prec@1 40.625 (36.867) Prec@5 71.250 (67.668) Epoch: [24][5970/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.3511 (2.5988) Prec@1 43.125 (36.866) Prec@5 73.125 (67.668) Epoch: [24][5980/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.6465 (2.5988) Prec@1 40.000 (36.868) Prec@5 68.125 (67.669) Epoch: [24][5990/11272] Time 0.745 (0.821) Data 0.001 (0.002) Loss 2.8710 (2.5988) Prec@1 33.125 (36.867) Prec@5 65.625 (67.669) Epoch: [24][6000/11272] Time 0.760 (0.821) Data 0.002 (0.002) Loss 2.6115 (2.5988) Prec@1 38.125 (36.866) Prec@5 68.750 (67.667) Epoch: [24][6010/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.6412 (2.5988) Prec@1 37.500 (36.867) Prec@5 68.750 (67.667) Epoch: [24][6020/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.6093 (2.5987) Prec@1 35.625 (36.869) Prec@5 69.375 (67.672) Epoch: [24][6030/11272] Time 0.733 (0.821) Data 0.002 (0.002) Loss 2.5661 (2.5987) Prec@1 38.125 (36.869) Prec@5 66.875 (67.671) Epoch: [24][6040/11272] Time 0.710 (0.821) Data 0.001 (0.002) Loss 2.5361 (2.5988) Prec@1 39.375 (36.870) Prec@5 63.750 (67.668) Epoch: [24][6050/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.3478 (2.5989) Prec@1 36.875 (36.869) Prec@5 73.750 (67.669) Epoch: [24][6060/11272] Time 0.787 (0.821) Data 0.004 (0.002) Loss 2.7133 (2.5989) Prec@1 31.250 (36.868) Prec@5 68.125 (67.667) Epoch: [24][6070/11272] Time 0.779 (0.821) Data 0.002 (0.002) Loss 2.7303 (2.5989) Prec@1 33.750 (36.866) Prec@5 63.750 (67.665) Epoch: [24][6080/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.5735 (2.5989) Prec@1 36.875 (36.867) Prec@5 68.125 (67.665) Epoch: [24][6090/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.7279 (2.5990) Prec@1 36.250 (36.866) Prec@5 66.250 (67.665) Epoch: [24][6100/11272] Time 0.760 (0.821) Data 0.002 (0.002) Loss 2.4150 (2.5989) Prec@1 37.500 (36.866) Prec@5 70.625 (67.666) Epoch: [24][6110/11272] Time 0.737 (0.821) Data 0.002 (0.002) Loss 2.8122 (2.5990) Prec@1 33.750 (36.864) Prec@5 62.500 (67.664) Epoch: [24][6120/11272] Time 0.914 (0.822) Data 0.002 (0.002) Loss 2.5417 (2.5990) Prec@1 39.375 (36.864) Prec@5 71.250 (67.663) Epoch: [24][6130/11272] Time 0.927 (0.822) Data 0.002 (0.002) Loss 2.6574 (2.5990) Prec@1 39.375 (36.866) Prec@5 68.125 (67.663) Epoch: [24][6140/11272] Time 0.748 (0.822) Data 0.001 (0.002) Loss 2.5988 (2.5990) Prec@1 36.875 (36.867) Prec@5 65.625 (67.662) Epoch: [24][6150/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.4401 (2.5990) Prec@1 39.375 (36.867) Prec@5 70.000 (67.661) Epoch: [24][6160/11272] Time 0.907 (0.822) Data 0.002 (0.002) Loss 2.7475 (2.5990) Prec@1 33.125 (36.863) Prec@5 70.625 (67.660) Epoch: [24][6170/11272] Time 0.926 (0.822) Data 0.002 (0.002) Loss 2.7011 (2.5991) Prec@1 39.375 (36.861) Prec@5 68.750 (67.660) Epoch: [24][6180/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.6240 (2.5992) Prec@1 35.000 (36.858) Prec@5 65.625 (67.659) Epoch: [24][6190/11272] Time 0.878 (0.822) Data 0.001 (0.002) Loss 2.6436 (2.5993) Prec@1 36.875 (36.856) Prec@5 67.500 (67.659) Epoch: [24][6200/11272] Time 0.919 (0.822) Data 0.002 (0.002) Loss 2.6201 (2.5992) Prec@1 35.625 (36.857) Prec@5 70.000 (67.660) Epoch: [24][6210/11272] Time 0.744 (0.822) Data 0.001 (0.002) Loss 2.6969 (2.5992) Prec@1 32.500 (36.857) Prec@5 66.250 (67.661) Epoch: [24][6220/11272] Time 0.775 (0.822) Data 0.002 (0.002) Loss 2.3990 (2.5991) Prec@1 38.750 (36.858) Prec@5 70.625 (67.663) Epoch: [24][6230/11272] Time 0.927 (0.822) Data 0.002 (0.002) Loss 2.6805 (2.5990) Prec@1 35.625 (36.859) Prec@5 65.000 (67.664) Epoch: [24][6240/11272] Time 0.915 (0.822) Data 0.002 (0.002) Loss 2.6303 (2.5990) Prec@1 35.625 (36.859) Prec@5 67.500 (67.663) Epoch: [24][6250/11272] Time 0.749 (0.822) Data 0.002 (0.002) Loss 2.4150 (2.5990) Prec@1 38.750 (36.859) Prec@5 72.500 (67.665) Epoch: [24][6260/11272] Time 0.765 (0.822) Data 0.002 (0.002) Loss 2.6286 (2.5990) Prec@1 36.250 (36.858) Prec@5 66.250 (67.666) Epoch: [24][6270/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.8855 (2.5990) Prec@1 30.625 (36.856) Prec@5 66.250 (67.665) Epoch: [24][6280/11272] Time 0.876 (0.822) Data 0.002 (0.002) Loss 2.6478 (2.5990) Prec@1 40.625 (36.854) Prec@5 65.000 (67.666) Epoch: [24][6290/11272] Time 0.781 (0.822) Data 0.002 (0.002) Loss 2.6950 (2.5989) Prec@1 34.375 (36.855) Prec@5 65.000 (67.669) Epoch: [24][6300/11272] Time 0.743 (0.822) Data 0.002 (0.002) Loss 2.5265 (2.5990) Prec@1 36.250 (36.853) Prec@5 70.625 (67.669) Epoch: [24][6310/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.5429 (2.5990) Prec@1 41.875 (36.854) Prec@5 70.625 (67.667) Epoch: [24][6320/11272] Time 0.872 (0.822) Data 0.001 (0.002) Loss 2.5473 (2.5990) Prec@1 34.375 (36.854) Prec@5 68.125 (67.669) Epoch: [24][6330/11272] Time 0.745 (0.822) Data 0.002 (0.002) Loss 2.5610 (2.5988) Prec@1 35.000 (36.857) Prec@5 68.750 (67.673) Epoch: [24][6340/11272] Time 0.897 (0.822) Data 0.002 (0.002) Loss 2.3717 (2.5988) Prec@1 37.500 (36.857) Prec@5 74.375 (67.673) Epoch: [24][6350/11272] Time 0.902 (0.822) Data 0.002 (0.002) Loss 2.3942 (2.5989) Prec@1 43.125 (36.856) Prec@5 72.500 (67.673) Epoch: [24][6360/11272] Time 0.778 (0.822) Data 0.002 (0.002) Loss 2.4436 (2.5987) Prec@1 42.500 (36.858) Prec@5 68.750 (67.677) Epoch: [24][6370/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.5515 (2.5987) Prec@1 35.625 (36.859) Prec@5 67.500 (67.676) Epoch: [24][6380/11272] Time 0.863 (0.822) Data 0.002 (0.002) Loss 2.6967 (2.5987) Prec@1 35.000 (36.861) Prec@5 65.000 (67.675) Epoch: [24][6390/11272] Time 0.892 (0.822) Data 0.002 (0.002) Loss 2.5717 (2.5987) Prec@1 35.000 (36.858) Prec@5 68.750 (67.674) Epoch: [24][6400/11272] Time 0.790 (0.822) Data 0.002 (0.002) Loss 2.9642 (2.5988) Prec@1 31.250 (36.860) Prec@5 58.125 (67.675) Epoch: [24][6410/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.6667 (2.5987) Prec@1 28.125 (36.860) Prec@5 70.000 (67.677) Epoch: [24][6420/11272] Time 0.921 (0.822) Data 0.002 (0.002) Loss 2.6169 (2.5988) Prec@1 33.750 (36.859) Prec@5 65.625 (67.677) Epoch: [24][6430/11272] Time 0.895 (0.822) Data 0.002 (0.002) Loss 2.8366 (2.5987) Prec@1 31.875 (36.861) Prec@5 63.125 (67.677) Epoch: [24][6440/11272] Time 0.717 (0.822) Data 0.002 (0.002) Loss 2.6601 (2.5987) Prec@1 38.750 (36.862) Prec@5 66.875 (67.677) Epoch: [24][6450/11272] Time 0.885 (0.822) Data 0.002 (0.002) Loss 2.8812 (2.5988) Prec@1 30.625 (36.861) Prec@5 63.750 (67.677) Epoch: [24][6460/11272] Time 0.892 (0.822) Data 0.002 (0.002) Loss 2.5967 (2.5988) Prec@1 39.375 (36.862) Prec@5 68.125 (67.678) Epoch: [24][6470/11272] Time 0.739 (0.822) Data 0.001 (0.002) Loss 2.5093 (2.5986) Prec@1 36.875 (36.866) Prec@5 70.000 (67.683) Epoch: [24][6480/11272] Time 0.738 (0.822) Data 0.001 (0.002) Loss 2.3688 (2.5986) Prec@1 46.250 (36.864) Prec@5 70.625 (67.683) Epoch: [24][6490/11272] Time 0.877 (0.822) Data 0.002 (0.002) Loss 2.7615 (2.5986) Prec@1 31.250 (36.863) Prec@5 66.875 (67.683) Epoch: [24][6500/11272] Time 0.863 (0.822) Data 0.002 (0.002) Loss 2.6053 (2.5987) Prec@1 33.750 (36.862) Prec@5 69.375 (67.682) Epoch: [24][6510/11272] Time 0.740 (0.822) Data 0.002 (0.002) Loss 2.4449 (2.5987) Prec@1 36.250 (36.863) Prec@5 70.000 (67.682) Epoch: [24][6520/11272] Time 0.772 (0.822) Data 0.002 (0.002) Loss 2.5251 (2.5988) Prec@1 41.250 (36.861) Prec@5 71.250 (67.683) Epoch: [24][6530/11272] Time 0.893 (0.822) Data 0.002 (0.002) Loss 2.9550 (2.5989) Prec@1 34.375 (36.863) Prec@5 59.375 (67.680) Epoch: [24][6540/11272] Time 1.011 (0.822) Data 0.002 (0.002) Loss 2.4494 (2.5987) Prec@1 38.750 (36.865) Prec@5 71.250 (67.684) Epoch: [24][6550/11272] Time 0.728 (0.822) Data 0.002 (0.002) Loss 2.4005 (2.5987) Prec@1 36.250 (36.867) Prec@5 73.125 (67.685) Epoch: [24][6560/11272] Time 0.728 (0.822) Data 0.002 (0.002) Loss 2.4295 (2.5986) Prec@1 40.625 (36.868) Prec@5 69.375 (67.686) Epoch: [24][6570/11272] Time 0.871 (0.822) Data 0.002 (0.002) Loss 2.4326 (2.5985) Prec@1 42.500 (36.870) Prec@5 68.750 (67.687) Epoch: [24][6580/11272] Time 0.870 (0.822) Data 0.002 (0.002) Loss 2.7683 (2.5985) Prec@1 32.500 (36.872) Prec@5 68.750 (67.687) Epoch: [24][6590/11272] Time 0.770 (0.822) Data 0.002 (0.002) Loss 2.6625 (2.5985) Prec@1 43.125 (36.871) Prec@5 63.750 (67.686) Epoch: [24][6600/11272] Time 0.907 (0.822) Data 0.002 (0.002) Loss 2.4706 (2.5985) Prec@1 36.250 (36.873) Prec@5 68.750 (67.685) Epoch: [24][6610/11272] Time 0.908 (0.822) Data 0.002 (0.002) Loss 2.6336 (2.5985) Prec@1 33.750 (36.873) Prec@5 65.000 (67.685) Epoch: [24][6620/11272] Time 0.810 (0.822) Data 0.001 (0.002) Loss 2.4592 (2.5984) Prec@1 36.875 (36.875) Prec@5 67.500 (67.684) Epoch: [24][6630/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.7778 (2.5985) Prec@1 31.250 (36.876) Prec@5 60.625 (67.682) Epoch: [24][6640/11272] Time 0.913 (0.822) Data 0.002 (0.002) Loss 2.6368 (2.5984) Prec@1 39.375 (36.878) Prec@5 65.000 (67.684) Epoch: [24][6650/11272] Time 0.898 (0.822) Data 0.002 (0.002) Loss 2.5920 (2.5985) Prec@1 34.375 (36.878) Prec@5 68.125 (67.682) Epoch: [24][6660/11272] Time 0.786 (0.822) Data 0.002 (0.002) Loss 2.6534 (2.5985) Prec@1 35.625 (36.877) Prec@5 66.875 (67.681) Epoch: [24][6670/11272] Time 0.766 (0.822) Data 0.001 (0.002) Loss 2.6141 (2.5987) Prec@1 41.875 (36.874) Prec@5 69.375 (67.677) Epoch: [24][6680/11272] Time 0.892 (0.822) Data 0.001 (0.002) Loss 2.4059 (2.5987) Prec@1 38.125 (36.874) Prec@5 74.375 (67.677) Epoch: [24][6690/11272] Time 0.872 (0.822) Data 0.002 (0.002) Loss 2.8354 (2.5988) Prec@1 33.125 (36.876) Prec@5 61.875 (67.675) Epoch: [24][6700/11272] Time 0.743 (0.822) Data 0.002 (0.002) Loss 2.4729 (2.5987) Prec@1 42.500 (36.877) Prec@5 68.125 (67.673) Epoch: [24][6710/11272] Time 0.764 (0.822) Data 0.002 (0.002) Loss 2.7258 (2.5987) Prec@1 32.500 (36.875) Prec@5 66.250 (67.673) Epoch: [24][6720/11272] Time 0.930 (0.822) Data 0.002 (0.002) Loss 2.7729 (2.5988) Prec@1 36.875 (36.876) Prec@5 68.750 (67.673) Epoch: [24][6730/11272] Time 0.760 (0.822) Data 0.004 (0.002) Loss 2.4889 (2.5988) Prec@1 33.750 (36.874) Prec@5 70.625 (67.670) Epoch: [24][6740/11272] Time 0.759 (0.822) Data 0.002 (0.002) Loss 2.8739 (2.5990) Prec@1 31.875 (36.870) Prec@5 62.500 (67.667) Epoch: [24][6750/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.7159 (2.5990) Prec@1 35.625 (36.873) Prec@5 66.250 (67.667) Epoch: [24][6760/11272] Time 0.924 (0.822) Data 0.002 (0.002) Loss 2.6193 (2.5991) Prec@1 32.500 (36.871) Prec@5 65.000 (67.668) Epoch: [24][6770/11272] Time 0.774 (0.822) Data 0.002 (0.002) Loss 2.6377 (2.5992) Prec@1 34.375 (36.867) Prec@5 66.875 (67.667) Epoch: [24][6780/11272] Time 0.742 (0.822) Data 0.002 (0.002) Loss 2.4916 (2.5992) Prec@1 34.375 (36.865) Prec@5 68.750 (67.667) Epoch: [24][6790/11272] Time 0.870 (0.822) Data 0.002 (0.002) Loss 2.7428 (2.5992) Prec@1 35.625 (36.865) Prec@5 61.875 (67.666) Epoch: [24][6800/11272] Time 0.907 (0.822) Data 0.002 (0.002) Loss 2.4952 (2.5991) Prec@1 39.375 (36.867) Prec@5 70.625 (67.668) Epoch: [24][6810/11272] Time 0.787 (0.822) Data 0.001 (0.002) Loss 2.5719 (2.5991) Prec@1 33.750 (36.866) Prec@5 70.625 (67.666) Epoch: [24][6820/11272] Time 0.795 (0.822) Data 0.002 (0.002) Loss 2.4960 (2.5990) Prec@1 36.875 (36.866) Prec@5 70.000 (67.669) Epoch: [24][6830/11272] Time 0.901 (0.822) Data 0.002 (0.002) Loss 2.5641 (2.5989) Prec@1 40.000 (36.869) Prec@5 68.125 (67.672) Epoch: [24][6840/11272] Time 0.813 (0.822) Data 0.001 (0.002) Loss 2.6521 (2.5989) Prec@1 35.000 (36.870) Prec@5 65.625 (67.669) Epoch: [24][6850/11272] Time 0.751 (0.822) Data 0.002 (0.002) Loss 2.5869 (2.5988) Prec@1 40.000 (36.872) Prec@5 65.000 (67.670) Epoch: [24][6860/11272] Time 0.883 (0.822) Data 0.001 (0.002) Loss 2.6034 (2.5989) Prec@1 34.375 (36.867) Prec@5 68.125 (67.668) Epoch: [24][6870/11272] Time 0.870 (0.822) Data 0.002 (0.002) Loss 2.6008 (2.5989) Prec@1 36.250 (36.866) Prec@5 65.000 (67.669) Epoch: [24][6880/11272] Time 0.764 (0.822) Data 0.001 (0.002) Loss 2.5849 (2.5990) Prec@1 38.125 (36.863) Prec@5 67.500 (67.666) Epoch: [24][6890/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.3920 (2.5990) Prec@1 40.625 (36.862) Prec@5 70.625 (67.667) Epoch: [24][6900/11272] Time 0.907 (0.822) Data 0.002 (0.002) Loss 2.6591 (2.5990) Prec@1 36.250 (36.861) Prec@5 67.500 (67.667) Epoch: [24][6910/11272] Time 0.930 (0.822) Data 0.002 (0.002) Loss 2.6834 (2.5991) Prec@1 41.250 (36.861) Prec@5 63.125 (67.663) Epoch: [24][6920/11272] Time 0.726 (0.822) Data 0.002 (0.002) Loss 2.6308 (2.5991) Prec@1 35.625 (36.862) Prec@5 67.500 (67.663) Epoch: [24][6930/11272] Time 0.741 (0.822) Data 0.002 (0.002) Loss 2.5236 (2.5991) Prec@1 35.000 (36.861) Prec@5 69.375 (67.661) Epoch: [24][6940/11272] Time 0.896 (0.822) Data 0.002 (0.002) Loss 2.8124 (2.5993) Prec@1 35.625 (36.861) Prec@5 60.625 (67.657) Epoch: [24][6950/11272] Time 0.935 (0.822) Data 0.002 (0.002) Loss 2.3975 (2.5994) Prec@1 36.250 (36.858) Prec@5 71.875 (67.655) Epoch: [24][6960/11272] Time 0.733 (0.822) Data 0.001 (0.002) Loss 2.6120 (2.5994) Prec@1 36.250 (36.859) Prec@5 65.625 (67.655) Epoch: [24][6970/11272] Time 0.746 (0.822) Data 0.002 (0.002) Loss 2.6615 (2.5995) Prec@1 38.125 (36.858) Prec@5 65.000 (67.653) Epoch: [24][6980/11272] Time 0.918 (0.822) Data 0.002 (0.002) Loss 2.6653 (2.5996) Prec@1 33.125 (36.856) Prec@5 63.125 (67.649) Epoch: [24][6990/11272] Time 0.775 (0.822) Data 0.003 (0.002) Loss 2.2939 (2.5995) Prec@1 41.250 (36.860) Prec@5 72.500 (67.652) Epoch: [24][7000/11272] Time 0.802 (0.822) Data 0.003 (0.002) Loss 2.7692 (2.5995) Prec@1 35.625 (36.858) Prec@5 63.125 (67.650) Epoch: [24][7010/11272] Time 0.908 (0.822) Data 0.002 (0.002) Loss 2.5480 (2.5994) Prec@1 33.125 (36.860) Prec@5 72.500 (67.652) Epoch: [24][7020/11272] Time 0.873 (0.822) Data 0.002 (0.002) Loss 2.4149 (2.5994) Prec@1 41.250 (36.860) Prec@5 67.500 (67.653) Epoch: [24][7030/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.6437 (2.5994) Prec@1 30.625 (36.860) Prec@5 67.500 (67.653) Epoch: [24][7040/11272] Time 0.770 (0.822) Data 0.002 (0.002) Loss 2.4157 (2.5994) Prec@1 40.000 (36.858) Prec@5 69.375 (67.653) Epoch: [24][7050/11272] Time 0.892 (0.822) Data 0.002 (0.002) Loss 2.6139 (2.5995) Prec@1 31.875 (36.856) Prec@5 67.500 (67.652) Epoch: [24][7060/11272] Time 0.920 (0.822) Data 0.002 (0.002) Loss 2.4165 (2.5995) Prec@1 38.125 (36.856) Prec@5 70.000 (67.653) Epoch: [24][7070/11272] Time 0.789 (0.822) Data 0.002 (0.002) Loss 2.4532 (2.5995) Prec@1 35.625 (36.854) Prec@5 71.250 (67.654) Epoch: [24][7080/11272] Time 0.741 (0.822) Data 0.001 (0.002) Loss 2.6612 (2.5995) Prec@1 40.000 (36.853) Prec@5 64.375 (67.653) Epoch: [24][7090/11272] Time 0.906 (0.822) Data 0.002 (0.002) Loss 2.5436 (2.5995) Prec@1 33.750 (36.852) Prec@5 71.875 (67.655) Epoch: [24][7100/11272] Time 0.946 (0.822) Data 0.001 (0.002) Loss 2.7884 (2.5994) Prec@1 37.500 (36.854) Prec@5 65.000 (67.654) Epoch: [24][7110/11272] Time 0.757 (0.822) Data 0.002 (0.002) Loss 2.6395 (2.5995) Prec@1 36.250 (36.852) Prec@5 64.375 (67.653) Epoch: [24][7120/11272] Time 0.852 (0.822) Data 0.002 (0.002) Loss 2.5607 (2.5994) Prec@1 35.625 (36.852) Prec@5 66.875 (67.654) Epoch: [24][7130/11272] Time 0.891 (0.822) Data 0.002 (0.002) Loss 3.0136 (2.5995) Prec@1 33.750 (36.851) Prec@5 58.750 (67.651) Epoch: [24][7140/11272] Time 0.725 (0.822) Data 0.001 (0.002) Loss 2.7816 (2.5995) Prec@1 33.750 (36.850) Prec@5 61.875 (67.651) Epoch: [24][7150/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 3.0183 (2.5996) Prec@1 32.500 (36.849) Prec@5 56.875 (67.649) Epoch: [24][7160/11272] Time 0.883 (0.822) Data 0.001 (0.002) Loss 2.8518 (2.5996) Prec@1 32.500 (36.848) Prec@5 61.875 (67.649) Epoch: [24][7170/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.8599 (2.5996) Prec@1 35.625 (36.848) Prec@5 65.000 (67.647) Epoch: [24][7180/11272] Time 0.760 (0.822) Data 0.002 (0.002) Loss 2.8829 (2.5997) Prec@1 33.125 (36.848) Prec@5 65.625 (67.645) Epoch: [24][7190/11272] Time 0.749 (0.822) Data 0.002 (0.002) Loss 2.7289 (2.5998) Prec@1 34.375 (36.847) Prec@5 66.250 (67.644) Epoch: [24][7200/11272] Time 0.910 (0.822) Data 0.002 (0.002) Loss 2.6222 (2.5998) Prec@1 38.750 (36.846) Prec@5 69.375 (67.643) Epoch: [24][7210/11272] Time 0.887 (0.822) Data 0.002 (0.002) Loss 2.3550 (2.5999) Prec@1 43.125 (36.845) Prec@5 73.125 (67.643) Epoch: [24][7220/11272] Time 0.768 (0.822) Data 0.002 (0.002) Loss 2.7839 (2.5999) Prec@1 32.500 (36.844) Prec@5 61.875 (67.641) Epoch: [24][7230/11272] Time 0.754 (0.822) Data 0.002 (0.002) Loss 2.7242 (2.6000) Prec@1 36.250 (36.843) Prec@5 63.750 (67.640) Epoch: [24][7240/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.5271 (2.6000) Prec@1 37.500 (36.844) Prec@5 67.500 (67.640) Epoch: [24][7250/11272] Time 0.899 (0.822) Data 0.001 (0.002) Loss 2.6291 (2.6001) Prec@1 35.625 (36.843) Prec@5 65.000 (67.638) Epoch: [24][7260/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.6218 (2.6001) Prec@1 35.000 (36.842) Prec@5 66.875 (67.639) Epoch: [24][7270/11272] Time 0.884 (0.822) Data 0.001 (0.002) Loss 2.6509 (2.6001) Prec@1 33.125 (36.841) Prec@5 67.500 (67.638) Epoch: [24][7280/11272] Time 0.894 (0.822) Data 0.001 (0.002) Loss 2.4776 (2.6001) Prec@1 39.375 (36.842) Prec@5 66.250 (67.638) Epoch: [24][7290/11272] Time 0.753 (0.822) Data 0.002 (0.002) Loss 2.4035 (2.6002) Prec@1 36.875 (36.840) Prec@5 71.875 (67.636) Epoch: [24][7300/11272] Time 0.795 (0.822) Data 0.002 (0.002) Loss 2.4818 (2.6002) Prec@1 41.250 (36.841) Prec@5 65.625 (67.636) Epoch: [24][7310/11272] Time 0.903 (0.822) Data 0.002 (0.002) Loss 2.5830 (2.6001) Prec@1 41.875 (36.843) Prec@5 68.750 (67.635) Epoch: [24][7320/11272] Time 0.917 (0.822) Data 0.002 (0.002) Loss 2.6013 (2.6003) Prec@1 35.000 (36.839) Prec@5 66.875 (67.632) Epoch: [24][7330/11272] Time 0.741 (0.822) Data 0.001 (0.002) Loss 2.4883 (2.6003) Prec@1 38.750 (36.839) Prec@5 67.500 (67.633) Epoch: [24][7340/11272] Time 0.726 (0.822) Data 0.001 (0.002) Loss 2.5032 (2.6003) Prec@1 37.500 (36.839) Prec@5 70.625 (67.634) Epoch: [24][7350/11272] Time 0.844 (0.822) Data 0.002 (0.002) Loss 2.4811 (2.6003) Prec@1 43.125 (36.839) Prec@5 71.875 (67.632) Epoch: [24][7360/11272] Time 0.836 (0.822) Data 0.002 (0.002) Loss 2.5869 (2.6003) Prec@1 31.875 (36.839) Prec@5 68.125 (67.634) Epoch: [24][7370/11272] Time 0.733 (0.822) Data 0.001 (0.002) Loss 2.3278 (2.6002) Prec@1 45.625 (36.840) Prec@5 77.500 (67.633) Epoch: [24][7380/11272] Time 0.789 (0.822) Data 0.002 (0.002) Loss 2.6024 (2.6002) Prec@1 39.375 (36.840) Prec@5 66.250 (67.634) Epoch: [24][7390/11272] Time 0.883 (0.822) Data 0.002 (0.002) Loss 2.6931 (2.6004) Prec@1 35.000 (36.838) Prec@5 65.625 (67.631) Epoch: [24][7400/11272] Time 0.769 (0.822) Data 0.002 (0.002) Loss 2.5765 (2.6004) Prec@1 36.875 (36.838) Prec@5 67.500 (67.631) Epoch: [24][7410/11272] Time 0.763 (0.822) Data 0.002 (0.002) Loss 2.4581 (2.6004) Prec@1 39.375 (36.838) Prec@5 70.625 (67.629) Epoch: [24][7420/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.6447 (2.6005) Prec@1 40.625 (36.837) Prec@5 70.000 (67.629) Epoch: [24][7430/11272] Time 0.853 (0.822) Data 0.002 (0.002) Loss 2.7342 (2.6005) Prec@1 36.875 (36.837) Prec@5 67.500 (67.628) Epoch: [24][7440/11272] Time 0.738 (0.822) Data 0.001 (0.002) Loss 2.5459 (2.6005) Prec@1 35.625 (36.838) Prec@5 66.250 (67.629) Epoch: [24][7450/11272] Time 0.755 (0.822) Data 0.002 (0.002) Loss 2.3921 (2.6005) Prec@1 42.500 (36.841) Prec@5 73.750 (67.629) Epoch: [24][7460/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.5639 (2.6004) Prec@1 36.250 (36.841) Prec@5 67.500 (67.629) Epoch: [24][7470/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.9047 (2.6004) Prec@1 29.375 (36.840) Prec@5 60.625 (67.628) Epoch: [24][7480/11272] Time 0.774 (0.822) Data 0.002 (0.002) Loss 2.6529 (2.6004) Prec@1 33.750 (36.841) Prec@5 67.500 (67.631) Epoch: [24][7490/11272] Time 0.734 (0.822) Data 0.001 (0.002) Loss 2.5106 (2.6003) Prec@1 43.125 (36.844) Prec@5 68.750 (67.632) Epoch: [24][7500/11272] Time 0.865 (0.822) Data 0.002 (0.002) Loss 2.4957 (2.6002) Prec@1 33.750 (36.846) Prec@5 67.500 (67.634) Epoch: [24][7510/11272] Time 0.911 (0.822) Data 0.002 (0.002) Loss 2.6298 (2.6003) Prec@1 41.250 (36.847) Prec@5 68.750 (67.635) Epoch: [24][7520/11272] Time 0.772 (0.822) Data 0.001 (0.002) Loss 2.7242 (2.6002) Prec@1 33.125 (36.847) Prec@5 63.750 (67.636) Epoch: [24][7530/11272] Time 0.883 (0.822) Data 0.002 (0.002) Loss 2.6138 (2.6001) Prec@1 33.750 (36.847) Prec@5 66.875 (67.639) Epoch: [24][7540/11272] Time 0.943 (0.822) Data 0.002 (0.002) Loss 2.4897 (2.6000) Prec@1 38.750 (36.850) Prec@5 70.625 (67.642) Epoch: [24][7550/11272] Time 0.799 (0.822) Data 0.002 (0.002) Loss 2.6715 (2.6001) Prec@1 36.875 (36.849) Prec@5 66.875 (67.639) Epoch: [24][7560/11272] Time 0.740 (0.822) Data 0.002 (0.002) Loss 2.4661 (2.6000) Prec@1 39.375 (36.849) Prec@5 74.375 (67.641) Epoch: [24][7570/11272] Time 1.023 (0.822) Data 0.002 (0.002) Loss 2.4619 (2.6000) Prec@1 36.875 (36.848) Prec@5 68.750 (67.640) Epoch: [24][7580/11272] Time 0.916 (0.822) Data 0.002 (0.002) Loss 2.5622 (2.6001) Prec@1 38.125 (36.847) Prec@5 68.750 (67.641) Epoch: [24][7590/11272] Time 0.791 (0.822) Data 0.002 (0.002) Loss 2.4842 (2.6000) Prec@1 38.125 (36.849) Prec@5 70.000 (67.643) Epoch: [24][7600/11272] Time 0.737 (0.822) Data 0.001 (0.002) Loss 2.3951 (2.6000) Prec@1 41.250 (36.849) Prec@5 69.375 (67.642) Epoch: [24][7610/11272] Time 0.840 (0.822) Data 0.002 (0.002) Loss 2.3227 (2.6000) Prec@1 48.750 (36.853) Prec@5 70.625 (67.642) Epoch: [24][7620/11272] Time 0.928 (0.822) Data 0.002 (0.002) Loss 2.4739 (2.6000) Prec@1 39.375 (36.852) Prec@5 69.375 (67.642) Epoch: [24][7630/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.7704 (2.6000) Prec@1 33.750 (36.851) Prec@5 66.250 (67.642) Epoch: [24][7640/11272] Time 0.705 (0.822) Data 0.001 (0.002) Loss 2.7013 (2.6000) Prec@1 35.000 (36.849) Prec@5 65.000 (67.641) Epoch: [24][7650/11272] Time 0.936 (0.822) Data 0.002 (0.002) Loss 2.5524 (2.6000) Prec@1 40.000 (36.853) Prec@5 70.625 (67.642) Epoch: [24][7660/11272] Time 0.768 (0.822) Data 0.004 (0.002) Loss 2.5365 (2.6000) Prec@1 38.750 (36.852) Prec@5 68.750 (67.641) Epoch: [24][7670/11272] Time 0.789 (0.822) Data 0.002 (0.002) Loss 2.7909 (2.6000) Prec@1 33.125 (36.851) Prec@5 66.250 (67.641) Epoch: [24][7680/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.8351 (2.6001) Prec@1 28.750 (36.849) Prec@5 63.750 (67.640) Epoch: [24][7690/11272] Time 0.901 (0.822) Data 0.002 (0.002) Loss 2.5253 (2.6002) Prec@1 45.000 (36.848) Prec@5 71.250 (67.640) Epoch: [24][7700/11272] Time 0.747 (0.822) Data 0.002 (0.002) Loss 2.6106 (2.6002) Prec@1 35.625 (36.847) Prec@5 68.125 (67.638) Epoch: [24][7710/11272] Time 0.773 (0.822) Data 0.002 (0.002) Loss 2.8694 (2.6003) Prec@1 33.750 (36.848) Prec@5 66.250 (67.638) Epoch: [24][7720/11272] Time 0.860 (0.822) Data 0.002 (0.002) Loss 2.4715 (2.6004) Prec@1 40.000 (36.848) Prec@5 75.625 (67.637) Epoch: [24][7730/11272] Time 0.898 (0.822) Data 0.001 (0.002) Loss 2.5509 (2.6002) Prec@1 38.125 (36.851) Prec@5 68.125 (67.641) Epoch: [24][7740/11272] Time 0.802 (0.822) Data 0.002 (0.002) Loss 2.7932 (2.6001) Prec@1 33.125 (36.851) Prec@5 64.375 (67.642) Epoch: [24][7750/11272] Time 0.751 (0.822) Data 0.002 (0.002) Loss 2.5731 (2.6002) Prec@1 37.500 (36.848) Prec@5 70.000 (67.641) Epoch: [24][7760/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.7974 (2.6002) Prec@1 29.375 (36.848) Prec@5 63.125 (67.642) Epoch: [24][7770/11272] Time 0.868 (0.822) Data 0.002 (0.002) Loss 2.6790 (2.6002) Prec@1 38.750 (36.849) Prec@5 67.500 (67.640) Epoch: [24][7780/11272] Time 0.732 (0.822) Data 0.001 (0.002) Loss 2.6982 (2.6003) Prec@1 35.625 (36.848) Prec@5 68.750 (67.639) Epoch: [24][7790/11272] Time 0.862 (0.822) Data 0.002 (0.002) Loss 2.5152 (2.6003) Prec@1 36.250 (36.847) Prec@5 71.250 (67.639) Epoch: [24][7800/11272] Time 0.845 (0.822) Data 0.002 (0.002) Loss 2.8155 (2.6002) Prec@1 34.375 (36.845) Prec@5 65.625 (67.641) Epoch: [24][7810/11272] Time 0.818 (0.822) Data 0.001 (0.002) Loss 2.6707 (2.6003) Prec@1 33.125 (36.844) Prec@5 66.875 (67.642) Epoch: [24][7820/11272] Time 0.786 (0.822) Data 0.002 (0.002) Loss 2.5602 (2.6002) Prec@1 35.000 (36.845) Prec@5 70.625 (67.642) Epoch: [24][7830/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.6039 (2.6004) Prec@1 39.375 (36.844) Prec@5 69.375 (67.640) Epoch: [24][7840/11272] Time 0.931 (0.822) Data 0.002 (0.002) Loss 2.6203 (2.6003) Prec@1 34.375 (36.844) Prec@5 66.875 (67.640) Epoch: [24][7850/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.4397 (2.6002) Prec@1 38.125 (36.846) Prec@5 68.750 (67.639) Epoch: [24][7860/11272] Time 0.772 (0.822) Data 0.002 (0.002) Loss 2.5939 (2.6003) Prec@1 33.125 (36.845) Prec@5 69.375 (67.639) Epoch: [24][7870/11272] Time 0.869 (0.822) Data 0.002 (0.002) Loss 2.6380 (2.6002) Prec@1 36.250 (36.846) Prec@5 61.875 (67.640) Epoch: [24][7880/11272] Time 0.869 (0.822) Data 0.002 (0.002) Loss 2.5356 (2.6000) Prec@1 36.875 (36.851) Prec@5 71.250 (67.642) Epoch: [24][7890/11272] Time 0.735 (0.822) Data 0.001 (0.002) Loss 2.5560 (2.6000) Prec@1 35.625 (36.852) Prec@5 65.625 (67.643) Epoch: [24][7900/11272] Time 0.782 (0.822) Data 0.003 (0.002) Loss 2.4093 (2.6000) Prec@1 44.375 (36.854) Prec@5 69.375 (67.642) Epoch: [24][7910/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.5369 (2.5999) Prec@1 38.125 (36.855) Prec@5 62.500 (67.642) Epoch: [24][7920/11272] Time 0.779 (0.822) Data 0.004 (0.002) Loss 2.5019 (2.5999) Prec@1 36.875 (36.854) Prec@5 65.625 (67.641) Epoch: [24][7930/11272] Time 0.738 (0.822) Data 0.002 (0.002) Loss 2.5646 (2.6000) Prec@1 38.750 (36.855) Prec@5 66.875 (67.641) Epoch: [24][7940/11272] Time 0.841 (0.822) Data 0.002 (0.002) Loss 2.7335 (2.5999) Prec@1 33.125 (36.854) Prec@5 67.500 (67.641) Epoch: [24][7950/11272] Time 0.866 (0.822) Data 0.002 (0.002) Loss 2.5349 (2.5998) Prec@1 40.000 (36.855) Prec@5 70.000 (67.644) Epoch: [24][7960/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.6662 (2.5999) Prec@1 30.625 (36.854) Prec@5 66.250 (67.645) Epoch: [24][7970/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.6735 (2.5999) Prec@1 35.000 (36.854) Prec@5 63.125 (67.646) Epoch: [24][7980/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.6386 (2.6000) Prec@1 38.125 (36.853) Prec@5 64.375 (67.643) Epoch: [24][7990/11272] Time 0.866 (0.822) Data 0.002 (0.002) Loss 2.7060 (2.6000) Prec@1 36.250 (36.851) Prec@5 70.625 (67.644) Epoch: [24][8000/11272] Time 0.767 (0.822) Data 0.002 (0.002) Loss 2.6762 (2.6001) Prec@1 36.875 (36.849) Prec@5 67.500 (67.642) Epoch: [24][8010/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.4399 (2.6001) Prec@1 38.125 (36.849) Prec@5 70.000 (67.641) Epoch: [24][8020/11272] Time 0.883 (0.822) Data 0.002 (0.002) Loss 2.5895 (2.6001) Prec@1 31.875 (36.851) Prec@5 68.750 (67.642) Epoch: [24][8030/11272] Time 0.856 (0.822) Data 0.002 (0.002) Loss 2.5965 (2.6001) Prec@1 36.875 (36.850) Prec@5 68.125 (67.642) Epoch: [24][8040/11272] Time 0.825 (0.822) Data 0.001 (0.002) Loss 2.5328 (2.6001) Prec@1 39.375 (36.850) Prec@5 70.625 (67.641) Epoch: [24][8050/11272] Time 0.847 (0.822) Data 0.002 (0.002) Loss 2.3009 (2.6001) Prec@1 39.375 (36.848) Prec@5 75.625 (67.641) Epoch: [24][8060/11272] Time 0.881 (0.822) Data 0.002 (0.002) Loss 2.7577 (2.6001) Prec@1 31.875 (36.848) Prec@5 63.750 (67.643) Epoch: [24][8070/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.3601 (2.6000) Prec@1 43.125 (36.848) Prec@5 70.000 (67.643) Epoch: [24][8080/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.7533 (2.6001) Prec@1 31.875 (36.849) Prec@5 65.625 (67.643) Epoch: [24][8090/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.7408 (2.6000) Prec@1 31.875 (36.849) Prec@5 66.250 (67.642) Epoch: [24][8100/11272] Time 0.865 (0.822) Data 0.002 (0.002) Loss 3.2160 (2.6002) Prec@1 27.500 (36.847) Prec@5 55.000 (67.639) Epoch: [24][8110/11272] Time 0.763 (0.822) Data 0.002 (0.002) Loss 2.6673 (2.6002) Prec@1 36.250 (36.847) Prec@5 65.625 (67.638) Epoch: [24][8120/11272] Time 0.756 (0.822) Data 0.001 (0.002) Loss 2.6776 (2.6002) Prec@1 36.250 (36.844) Prec@5 68.750 (67.638) Epoch: [24][8130/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.5186 (2.6003) Prec@1 45.000 (36.844) Prec@5 68.125 (67.638) Epoch: [24][8140/11272] Time 0.931 (0.822) Data 0.003 (0.002) Loss 2.5801 (2.6002) Prec@1 36.875 (36.846) Prec@5 67.500 (67.639) Epoch: [24][8150/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.1360 (2.6001) Prec@1 49.375 (36.849) Prec@5 73.125 (67.641) Epoch: [24][8160/11272] Time 0.760 (0.822) Data 0.002 (0.002) Loss 2.3446 (2.6001) Prec@1 42.500 (36.849) Prec@5 71.250 (67.639) Epoch: [24][8170/11272] Time 0.909 (0.822) Data 0.002 (0.002) Loss 2.4523 (2.6000) Prec@1 41.875 (36.851) Prec@5 70.625 (67.641) Epoch: [24][8180/11272] Time 0.891 (0.822) Data 0.002 (0.002) Loss 2.4594 (2.6000) Prec@1 37.500 (36.849) Prec@5 67.500 (67.639) Epoch: [24][8190/11272] Time 0.747 (0.822) Data 0.002 (0.002) Loss 2.8264 (2.6001) Prec@1 28.750 (36.849) Prec@5 63.750 (67.638) Epoch: [24][8200/11272] Time 0.926 (0.822) Data 0.002 (0.002) Loss 2.7368 (2.6001) Prec@1 33.125 (36.849) Prec@5 65.000 (67.635) Epoch: [24][8210/11272] Time 0.893 (0.822) Data 0.001 (0.002) Loss 2.4321 (2.6001) Prec@1 38.750 (36.849) Prec@5 70.000 (67.636) Epoch: [24][8220/11272] Time 0.781 (0.822) Data 0.002 (0.002) Loss 2.6024 (2.6001) Prec@1 34.375 (36.849) Prec@5 70.000 (67.636) Epoch: [24][8230/11272] Time 0.791 (0.822) Data 0.002 (0.002) Loss 2.6653 (2.6001) Prec@1 36.250 (36.849) Prec@5 64.375 (67.635) Epoch: [24][8240/11272] Time 0.848 (0.822) Data 0.002 (0.002) Loss 2.5184 (2.6001) Prec@1 34.375 (36.850) Prec@5 66.875 (67.635) Epoch: [24][8250/11272] Time 0.880 (0.822) Data 0.002 (0.002) Loss 2.8491 (2.6002) Prec@1 35.000 (36.850) Prec@5 61.875 (67.632) Epoch: [24][8260/11272] Time 0.772 (0.822) Data 0.002 (0.002) Loss 2.4755 (2.6002) Prec@1 38.750 (36.851) Prec@5 71.250 (67.632) Epoch: [24][8270/11272] Time 0.762 (0.822) Data 0.002 (0.002) Loss 2.4982 (2.6003) Prec@1 41.875 (36.850) Prec@5 65.625 (67.629) Epoch: [24][8280/11272] Time 0.911 (0.822) Data 0.002 (0.002) Loss 2.5182 (2.6002) Prec@1 38.750 (36.852) Prec@5 66.875 (67.630) Epoch: [24][8290/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.4895 (2.6002) Prec@1 36.250 (36.853) Prec@5 66.875 (67.631) Epoch: [24][8300/11272] Time 0.802 (0.822) Data 0.002 (0.002) Loss 2.9006 (2.6002) Prec@1 31.250 (36.852) Prec@5 63.750 (67.629) Epoch: [24][8310/11272] Time 0.758 (0.822) Data 0.001 (0.002) Loss 2.6383 (2.6003) Prec@1 38.750 (36.851) Prec@5 64.375 (67.629) Epoch: [24][8320/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.7006 (2.6003) Prec@1 36.875 (36.850) Prec@5 70.625 (67.630) Epoch: [24][8330/11272] Time 0.719 (0.822) Data 0.001 (0.002) Loss 2.5083 (2.6003) Prec@1 38.125 (36.850) Prec@5 71.875 (67.630) Epoch: [24][8340/11272] Time 0.764 (0.822) Data 0.001 (0.002) Loss 2.4453 (2.6002) Prec@1 39.375 (36.852) Prec@5 73.125 (67.631) Epoch: [24][8350/11272] Time 0.945 (0.822) Data 0.002 (0.002) Loss 2.6702 (2.6002) Prec@1 41.250 (36.855) Prec@5 65.625 (67.631) Epoch: [24][8360/11272] Time 0.876 (0.822) Data 0.002 (0.002) Loss 2.5864 (2.6001) Prec@1 40.625 (36.854) Prec@5 66.875 (67.632) Epoch: [24][8370/11272] Time 0.753 (0.822) Data 0.002 (0.002) Loss 2.4012 (2.6000) Prec@1 37.500 (36.855) Prec@5 70.625 (67.635) Epoch: [24][8380/11272] Time 0.791 (0.822) Data 0.002 (0.002) Loss 2.6999 (2.6000) Prec@1 36.875 (36.855) Prec@5 70.000 (67.636) Epoch: [24][8390/11272] Time 0.893 (0.822) Data 0.001 (0.002) Loss 2.5488 (2.5999) Prec@1 32.500 (36.854) Prec@5 70.000 (67.637) Epoch: [24][8400/11272] Time 0.880 (0.822) Data 0.002 (0.002) Loss 2.8601 (2.6000) Prec@1 37.500 (36.855) Prec@5 62.500 (67.636) Epoch: [24][8410/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.6188 (2.6000) Prec@1 37.500 (36.854) Prec@5 66.875 (67.636) Epoch: [24][8420/11272] Time 0.771 (0.822) Data 0.002 (0.002) Loss 2.3402 (2.5998) Prec@1 42.500 (36.856) Prec@5 73.750 (67.638) Epoch: [24][8430/11272] Time 0.826 (0.822) Data 0.001 (0.002) Loss 2.4779 (2.5998) Prec@1 40.625 (36.858) Prec@5 68.125 (67.639) Epoch: [24][8440/11272] Time 0.891 (0.822) Data 0.001 (0.002) Loss 2.8050 (2.5998) Prec@1 28.750 (36.858) Prec@5 66.250 (67.641) Epoch: [24][8450/11272] Time 0.748 (0.822) Data 0.001 (0.002) Loss 2.5297 (2.5999) Prec@1 37.500 (36.857) Prec@5 70.625 (67.640) Epoch: [24][8460/11272] Time 0.902 (0.822) Data 0.002 (0.002) Loss 2.6876 (2.5999) Prec@1 35.625 (36.858) Prec@5 66.875 (67.641) Epoch: [24][8470/11272] Time 0.872 (0.822) Data 0.002 (0.002) Loss 2.7386 (2.5999) Prec@1 28.125 (36.858) Prec@5 63.750 (67.641) Epoch: [24][8480/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.8667 (2.6000) Prec@1 30.000 (36.857) Prec@5 63.125 (67.640) Epoch: [24][8490/11272] Time 0.746 (0.822) Data 0.002 (0.002) Loss 2.5908 (2.5999) Prec@1 38.750 (36.858) Prec@5 68.750 (67.642) Epoch: [24][8500/11272] Time 0.924 (0.822) Data 0.002 (0.002) Loss 2.4361 (2.5999) Prec@1 40.625 (36.859) Prec@5 72.500 (67.641) Epoch: [24][8510/11272] Time 0.862 (0.822) Data 0.002 (0.002) Loss 2.5479 (2.5999) Prec@1 33.750 (36.858) Prec@5 67.500 (67.643) Epoch: [24][8520/11272] Time 0.710 (0.822) Data 0.001 (0.002) Loss 2.7212 (2.6000) Prec@1 37.500 (36.858) Prec@5 63.750 (67.641) Epoch: [24][8530/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.6956 (2.5999) Prec@1 33.125 (36.860) Prec@5 63.750 (67.642) Epoch: [24][8540/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.5887 (2.5999) Prec@1 37.500 (36.860) Prec@5 71.875 (67.641) Epoch: [24][8550/11272] Time 0.910 (0.822) Data 0.002 (0.002) Loss 2.4402 (2.5999) Prec@1 41.250 (36.860) Prec@5 68.125 (67.640) Epoch: [24][8560/11272] Time 0.757 (0.822) Data 0.001 (0.002) Loss 2.6732 (2.5999) Prec@1 33.750 (36.860) Prec@5 68.750 (67.642) Epoch: [24][8570/11272] Time 0.768 (0.822) Data 0.002 (0.002) Loss 2.7392 (2.5999) Prec@1 30.625 (36.858) Prec@5 65.000 (67.642) Epoch: [24][8580/11272] Time 0.894 (0.822) Data 0.001 (0.002) Loss 2.5448 (2.5999) Prec@1 36.875 (36.859) Prec@5 68.750 (67.642) Epoch: [24][8590/11272] Time 0.772 (0.822) Data 0.004 (0.002) Loss 2.3389 (2.5998) Prec@1 42.500 (36.861) Prec@5 69.375 (67.642) Epoch: [24][8600/11272] Time 0.745 (0.822) Data 0.001 (0.002) Loss 2.6794 (2.5998) Prec@1 39.375 (36.862) Prec@5 65.000 (67.643) Epoch: [24][8610/11272] Time 0.869 (0.822) Data 0.001 (0.002) Loss 2.7949 (2.5998) Prec@1 31.875 (36.861) Prec@5 63.750 (67.642) Epoch: [24][8620/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.7437 (2.5998) Prec@1 35.000 (36.860) Prec@5 68.125 (67.643) Epoch: [24][8630/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.5837 (2.5997) Prec@1 40.000 (36.863) Prec@5 71.875 (67.643) Epoch: [24][8640/11272] Time 0.761 (0.822) Data 0.002 (0.002) Loss 2.7668 (2.5996) Prec@1 32.500 (36.865) Prec@5 66.875 (67.645) Epoch: [24][8650/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.5608 (2.5996) Prec@1 36.250 (36.866) Prec@5 68.750 (67.645) Epoch: [24][8660/11272] Time 0.938 (0.822) Data 0.002 (0.002) Loss 2.4069 (2.5995) Prec@1 40.000 (36.869) Prec@5 66.875 (67.645) Epoch: [24][8670/11272] Time 0.845 (0.822) Data 0.002 (0.002) Loss 2.8306 (2.5995) Prec@1 31.250 (36.868) Prec@5 65.000 (67.646) Epoch: [24][8680/11272] Time 0.749 (0.822) Data 0.001 (0.002) Loss 2.4791 (2.5995) Prec@1 38.750 (36.867) Prec@5 68.125 (67.645) Epoch: [24][8690/11272] Time 0.875 (0.822) Data 0.002 (0.002) Loss 2.4314 (2.5995) Prec@1 40.000 (36.869) Prec@5 68.125 (67.646) Epoch: [24][8700/11272] Time 0.832 (0.822) Data 0.002 (0.002) Loss 2.5793 (2.5995) Prec@1 36.875 (36.869) Prec@5 68.750 (67.645) Epoch: [24][8710/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.7600 (2.5995) Prec@1 35.625 (36.868) Prec@5 65.000 (67.645) Epoch: [24][8720/11272] Time 0.892 (0.822) Data 0.002 (0.002) Loss 2.5089 (2.5995) Prec@1 40.000 (36.868) Prec@5 68.750 (67.646) Epoch: [24][8730/11272] Time 0.889 (0.822) Data 0.002 (0.002) Loss 2.8226 (2.5994) Prec@1 37.500 (36.871) Prec@5 60.000 (67.648) Epoch: [24][8740/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.6809 (2.5993) Prec@1 36.250 (36.872) Prec@5 61.875 (67.649) Epoch: [24][8750/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.5878 (2.5993) Prec@1 36.250 (36.872) Prec@5 68.125 (67.649) Epoch: [24][8760/11272] Time 0.862 (0.822) Data 0.001 (0.002) Loss 2.7826 (2.5993) Prec@1 33.750 (36.871) Prec@5 61.250 (67.647) Epoch: [24][8770/11272] Time 0.844 (0.822) Data 0.001 (0.002) Loss 2.5433 (2.5994) Prec@1 35.000 (36.870) Prec@5 73.750 (67.647) Epoch: [24][8780/11272] Time 0.742 (0.822) Data 0.002 (0.002) Loss 2.8135 (2.5993) Prec@1 30.625 (36.871) Prec@5 66.875 (67.649) Epoch: [24][8790/11272] Time 0.747 (0.822) Data 0.002 (0.002) Loss 2.4814 (2.5994) Prec@1 35.625 (36.867) Prec@5 67.500 (67.647) Epoch: [24][8800/11272] Time 0.863 (0.822) Data 0.002 (0.002) Loss 2.4916 (2.5994) Prec@1 36.250 (36.867) Prec@5 70.000 (67.647) Epoch: [24][8810/11272] Time 0.852 (0.822) Data 0.002 (0.002) Loss 2.3805 (2.5994) Prec@1 36.875 (36.865) Prec@5 74.375 (67.647) Epoch: [24][8820/11272] Time 0.733 (0.822) Data 0.001 (0.002) Loss 2.7303 (2.5994) Prec@1 32.500 (36.864) Prec@5 67.500 (67.647) Epoch: [24][8830/11272] Time 0.808 (0.822) Data 0.003 (0.002) Loss 2.6312 (2.5994) Prec@1 36.250 (36.864) Prec@5 61.250 (67.647) Epoch: [24][8840/11272] Time 0.883 (0.822) Data 0.003 (0.002) Loss 2.5039 (2.5994) Prec@1 41.250 (36.866) Prec@5 71.250 (67.649) Epoch: [24][8850/11272] Time 0.765 (0.822) Data 0.003 (0.002) Loss 2.3931 (2.5993) Prec@1 36.250 (36.866) Prec@5 68.125 (67.650) Epoch: [24][8860/11272] Time 0.734 (0.822) Data 0.002 (0.002) Loss 2.6962 (2.5994) Prec@1 37.500 (36.867) Prec@5 61.250 (67.649) Epoch: [24][8870/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.5902 (2.5993) Prec@1 35.000 (36.867) Prec@5 68.750 (67.649) Epoch: [24][8880/11272] Time 0.866 (0.822) Data 0.002 (0.002) Loss 2.5432 (2.5995) Prec@1 38.125 (36.863) Prec@5 69.375 (67.647) Epoch: [24][8890/11272] Time 0.760 (0.822) Data 0.002 (0.002) Loss 2.5454 (2.5995) Prec@1 43.125 (36.864) Prec@5 69.375 (67.646) Epoch: [24][8900/11272] Time 0.756 (0.822) Data 0.002 (0.002) Loss 2.5813 (2.5995) Prec@1 35.000 (36.865) Prec@5 70.625 (67.646) Epoch: [24][8910/11272] Time 0.901 (0.822) Data 0.002 (0.002) Loss 2.8681 (2.5996) Prec@1 26.875 (36.862) Prec@5 62.500 (67.645) Epoch: [24][8920/11272] Time 0.860 (0.822) Data 0.001 (0.002) Loss 2.8050 (2.5996) Prec@1 34.375 (36.861) Prec@5 60.000 (67.644) Epoch: [24][8930/11272] Time 0.744 (0.822) Data 0.002 (0.002) Loss 2.4146 (2.5996) Prec@1 42.500 (36.862) Prec@5 74.375 (67.644) Epoch: [24][8940/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.4992 (2.5997) Prec@1 36.250 (36.861) Prec@5 70.625 (67.644) Epoch: [24][8950/11272] Time 0.855 (0.822) Data 0.002 (0.002) Loss 2.4936 (2.5997) Prec@1 35.000 (36.861) Prec@5 69.375 (67.643) Epoch: [24][8960/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.5579 (2.5997) Prec@1 41.250 (36.860) Prec@5 65.000 (67.642) Epoch: [24][8970/11272] Time 0.769 (0.822) Data 0.002 (0.002) Loss 2.6149 (2.5997) Prec@1 43.125 (36.861) Prec@5 66.250 (67.640) Epoch: [24][8980/11272] Time 0.861 (0.822) Data 0.002 (0.002) Loss 2.3447 (2.5997) Prec@1 40.000 (36.860) Prec@5 75.625 (67.641) Epoch: [24][8990/11272] Time 0.973 (0.822) Data 0.002 (0.002) Loss 2.6218 (2.5997) Prec@1 36.250 (36.859) Prec@5 73.125 (67.642) Epoch: [24][9000/11272] Time 0.753 (0.822) Data 0.001 (0.002) Loss 2.9528 (2.5997) Prec@1 32.500 (36.860) Prec@5 59.375 (67.642) Epoch: [24][9010/11272] Time 0.771 (0.822) Data 0.002 (0.002) Loss 2.6526 (2.5997) Prec@1 33.750 (36.860) Prec@5 66.875 (67.642) Epoch: [24][9020/11272] Time 0.884 (0.822) Data 0.002 (0.002) Loss 2.5114 (2.5996) Prec@1 39.375 (36.861) Prec@5 68.750 (67.644) Epoch: [24][9030/11272] Time 0.929 (0.822) Data 0.002 (0.002) Loss 2.7628 (2.5996) Prec@1 36.875 (36.864) Prec@5 63.125 (67.644) Epoch: [24][9040/11272] Time 0.745 (0.822) Data 0.002 (0.002) Loss 2.8525 (2.5996) Prec@1 33.125 (36.863) Prec@5 61.875 (67.643) Epoch: [24][9050/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.4933 (2.5996) Prec@1 38.125 (36.864) Prec@5 73.750 (67.643) Epoch: [24][9060/11272] Time 0.873 (0.822) Data 0.002 (0.002) Loss 2.7779 (2.5997) Prec@1 35.000 (36.863) Prec@5 65.000 (67.642) Epoch: [24][9070/11272] Time 1.075 (0.822) Data 0.002 (0.002) Loss 2.4818 (2.5997) Prec@1 37.500 (36.863) Prec@5 69.375 (67.642) Epoch: [24][9080/11272] Time 0.742 (0.822) Data 0.002 (0.002) Loss 2.6470 (2.5997) Prec@1 36.250 (36.864) Prec@5 67.500 (67.643) Epoch: [24][9090/11272] Time 0.752 (0.822) Data 0.002 (0.002) Loss 2.3210 (2.5996) Prec@1 42.500 (36.865) Prec@5 71.875 (67.644) Epoch: [24][9100/11272] Time 0.864 (0.822) Data 0.002 (0.002) Loss 2.9060 (2.5996) Prec@1 28.750 (36.863) Prec@5 58.750 (67.642) Epoch: [24][9110/11272] Time 0.926 (0.822) Data 0.002 (0.002) Loss 2.7447 (2.5996) Prec@1 34.375 (36.863) Prec@5 65.625 (67.643) Epoch: [24][9120/11272] Time 0.769 (0.822) Data 0.002 (0.002) Loss 2.5149 (2.5996) Prec@1 35.625 (36.863) Prec@5 68.125 (67.643) Epoch: [24][9130/11272] Time 0.874 (0.822) Data 0.001 (0.002) Loss 2.8725 (2.5997) Prec@1 32.500 (36.863) Prec@5 61.875 (67.644) Epoch: [24][9140/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.3527 (2.5996) Prec@1 40.625 (36.865) Prec@5 70.625 (67.645) Epoch: [24][9150/11272] Time 0.725 (0.822) Data 0.001 (0.002) Loss 2.4329 (2.5996) Prec@1 41.875 (36.865) Prec@5 68.125 (67.646) Epoch: [24][9160/11272] Time 0.802 (0.822) Data 0.001 (0.002) Loss 2.6092 (2.5996) Prec@1 31.875 (36.865) Prec@5 71.875 (67.647) Epoch: [24][9170/11272] Time 0.854 (0.822) Data 0.002 (0.002) Loss 2.5966 (2.5996) Prec@1 36.875 (36.865) Prec@5 71.250 (67.647) Epoch: [24][9180/11272] Time 0.918 (0.822) Data 0.002 (0.002) Loss 2.3774 (2.5996) Prec@1 41.250 (36.865) Prec@5 70.625 (67.646) Epoch: [24][9190/11272] Time 0.762 (0.822) Data 0.002 (0.002) Loss 2.4577 (2.5997) Prec@1 39.375 (36.865) Prec@5 67.500 (67.644) Epoch: [24][9200/11272] Time 0.731 (0.822) Data 0.002 (0.002) Loss 2.9173 (2.5997) Prec@1 30.000 (36.864) Prec@5 64.375 (67.644) Epoch: [24][9210/11272] Time 0.922 (0.822) Data 0.002 (0.002) Loss 2.4291 (2.5997) Prec@1 43.750 (36.864) Prec@5 70.625 (67.644) Epoch: [24][9220/11272] Time 0.879 (0.822) Data 0.003 (0.002) Loss 2.5866 (2.5998) Prec@1 40.000 (36.862) Prec@5 65.625 (67.644) Epoch: [24][9230/11272] Time 0.750 (0.822) Data 0.002 (0.002) Loss 2.7401 (2.5998) Prec@1 35.625 (36.863) Prec@5 61.250 (67.643) Epoch: [24][9240/11272] Time 0.770 (0.822) Data 0.001 (0.002) Loss 2.6962 (2.5999) Prec@1 36.875 (36.860) Prec@5 61.250 (67.641) Epoch: [24][9250/11272] Time 0.845 (0.822) Data 0.002 (0.002) Loss 2.7432 (2.6000) Prec@1 35.625 (36.859) Prec@5 68.125 (67.640) Epoch: [24][9260/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.6522 (2.5999) Prec@1 33.750 (36.860) Prec@5 66.250 (67.641) Epoch: [24][9270/11272] Time 0.731 (0.822) Data 0.002 (0.002) Loss 2.7697 (2.6000) Prec@1 36.875 (36.859) Prec@5 63.750 (67.639) Epoch: [24][9280/11272] Time 0.903 (0.822) Data 0.002 (0.002) Loss 2.5703 (2.6000) Prec@1 38.750 (36.859) Prec@5 70.000 (67.638) Epoch: [24][9290/11272] Time 0.925 (0.822) Data 0.002 (0.002) Loss 2.7931 (2.6000) Prec@1 33.750 (36.860) Prec@5 66.250 (67.639) Epoch: [24][9300/11272] Time 0.781 (0.822) Data 0.002 (0.002) Loss 2.6073 (2.5999) Prec@1 36.875 (36.861) Prec@5 70.625 (67.640) Epoch: [24][9310/11272] Time 0.772 (0.822) Data 0.001 (0.002) Loss 2.5149 (2.5999) Prec@1 35.000 (36.862) Prec@5 64.375 (67.643) Epoch: [24][9320/11272] Time 0.915 (0.822) Data 0.002 (0.002) Loss 2.5009 (2.5999) Prec@1 36.875 (36.863) Prec@5 71.875 (67.643) Epoch: [24][9330/11272] Time 0.912 (0.822) Data 0.002 (0.002) Loss 2.7200 (2.5999) Prec@1 36.250 (36.864) Prec@5 64.375 (67.643) Epoch: [24][9340/11272] Time 0.716 (0.822) Data 0.001 (0.002) Loss 2.7192 (2.5999) Prec@1 36.875 (36.865) Prec@5 65.625 (67.641) Epoch: [24][9350/11272] Time 0.753 (0.822) Data 0.001 (0.002) Loss 2.7353 (2.5998) Prec@1 36.250 (36.867) Prec@5 64.375 (67.642) Epoch: [24][9360/11272] Time 0.891 (0.822) Data 0.002 (0.002) Loss 2.7669 (2.5998) Prec@1 36.875 (36.869) Prec@5 63.125 (67.643) Epoch: [24][9370/11272] Time 0.909 (0.822) Data 0.002 (0.002) Loss 2.3798 (2.5998) Prec@1 40.000 (36.869) Prec@5 73.125 (67.642) Epoch: [24][9380/11272] Time 0.748 (0.822) Data 0.002 (0.002) Loss 2.4862 (2.5997) Prec@1 45.000 (36.870) Prec@5 71.250 (67.645) Epoch: [24][9390/11272] Time 0.923 (0.822) Data 0.001 (0.002) Loss 2.7620 (2.5998) Prec@1 33.750 (36.869) Prec@5 58.125 (67.642) Epoch: [24][9400/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.9367 (2.5999) Prec@1 30.625 (36.869) Prec@5 62.500 (67.642) Epoch: [24][9410/11272] Time 0.764 (0.822) Data 0.002 (0.002) Loss 2.4906 (2.6000) Prec@1 40.625 (36.867) Prec@5 68.125 (67.641) Epoch: [24][9420/11272] Time 0.740 (0.822) Data 0.001 (0.002) Loss 2.7198 (2.6000) Prec@1 36.250 (36.866) Prec@5 67.500 (67.641) Epoch: [24][9430/11272] Time 0.895 (0.822) Data 0.001 (0.002) Loss 2.4983 (2.6001) Prec@1 38.750 (36.865) Prec@5 71.875 (67.639) Epoch: [24][9440/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.8787 (2.6001) Prec@1 30.625 (36.863) Prec@5 61.250 (67.637) Epoch: [24][9450/11272] Time 0.769 (0.822) Data 0.002 (0.002) Loss 2.4421 (2.6001) Prec@1 43.750 (36.864) Prec@5 73.750 (67.638) Epoch: [24][9460/11272] Time 0.773 (0.822) Data 0.002 (0.002) Loss 2.6650 (2.6000) Prec@1 34.375 (36.866) Prec@5 66.875 (67.639) Epoch: [24][9470/11272] Time 0.877 (0.822) Data 0.001 (0.002) Loss 2.4258 (2.6000) Prec@1 40.625 (36.868) Prec@5 69.375 (67.637) Epoch: [24][9480/11272] Time 0.930 (0.822) Data 0.002 (0.002) Loss 2.5876 (2.6000) Prec@1 34.375 (36.869) Prec@5 72.500 (67.639) Epoch: [24][9490/11272] Time 0.732 (0.822) Data 0.002 (0.002) Loss 2.4569 (2.5998) Prec@1 44.375 (36.873) Prec@5 66.250 (67.641) Epoch: [24][9500/11272] Time 0.740 (0.822) Data 0.002 (0.002) Loss 2.7563 (2.5998) Prec@1 34.375 (36.874) Prec@5 62.500 (67.640) Epoch: [24][9510/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.6070 (2.5998) Prec@1 40.000 (36.874) Prec@5 67.500 (67.641) Epoch: [24][9520/11272] Time 0.738 (0.822) Data 0.004 (0.002) Loss 2.5647 (2.5999) Prec@1 40.625 (36.874) Prec@5 66.875 (67.640) Epoch: [24][9530/11272] Time 0.706 (0.822) Data 0.001 (0.002) Loss 2.3551 (2.5999) Prec@1 41.875 (36.872) Prec@5 70.000 (67.639) Epoch: [24][9540/11272] Time 0.862 (0.822) Data 0.002 (0.002) Loss 2.5870 (2.5998) Prec@1 33.750 (36.874) Prec@5 70.625 (67.641) Epoch: [24][9550/11272] Time 0.857 (0.822) Data 0.002 (0.002) Loss 2.4191 (2.5999) Prec@1 43.750 (36.873) Prec@5 70.625 (67.641) Epoch: [24][9560/11272] Time 0.793 (0.822) Data 0.003 (0.002) Loss 2.6948 (2.5999) Prec@1 34.375 (36.874) Prec@5 69.375 (67.642) Epoch: [24][9570/11272] Time 0.771 (0.822) Data 0.001 (0.002) Loss 2.7234 (2.5999) Prec@1 31.250 (36.874) Prec@5 65.625 (67.640) Epoch: [24][9580/11272] Time 0.880 (0.822) Data 0.002 (0.002) Loss 2.4849 (2.5999) Prec@1 36.250 (36.875) Prec@5 71.875 (67.641) Epoch: [24][9590/11272] Time 0.882 (0.822) Data 0.003 (0.002) Loss 2.8009 (2.5998) Prec@1 35.625 (36.877) Prec@5 65.000 (67.643) Epoch: [24][9600/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.5977 (2.5998) Prec@1 31.250 (36.878) Prec@5 60.625 (67.642) Epoch: [24][9610/11272] Time 0.732 (0.822) Data 0.002 (0.002) Loss 2.8171 (2.5998) Prec@1 31.250 (36.878) Prec@5 68.125 (67.642) Epoch: [24][9620/11272] Time 0.858 (0.822) Data 0.002 (0.002) Loss 2.7439 (2.5998) Prec@1 36.250 (36.878) Prec@5 66.250 (67.643) Epoch: [24][9630/11272] Time 0.923 (0.822) Data 0.001 (0.002) Loss 2.6688 (2.5998) Prec@1 38.125 (36.880) Prec@5 66.875 (67.643) Epoch: [24][9640/11272] Time 0.730 (0.822) Data 0.002 (0.002) Loss 2.5543 (2.5998) Prec@1 38.750 (36.882) Prec@5 66.875 (67.644) Epoch: [24][9650/11272] Time 0.894 (0.822) Data 0.002 (0.002) Loss 2.3524 (2.5997) Prec@1 42.500 (36.882) Prec@5 71.250 (67.644) Epoch: [24][9660/11272] Time 0.929 (0.822) Data 0.002 (0.002) Loss 2.5440 (2.5997) Prec@1 34.375 (36.882) Prec@5 68.125 (67.644) Epoch: [24][9670/11272] Time 0.771 (0.822) Data 0.001 (0.002) Loss 2.6883 (2.5997) Prec@1 33.125 (36.884) Prec@5 70.000 (67.645) Epoch: [24][9680/11272] Time 0.816 (0.822) Data 0.002 (0.002) Loss 2.7116 (2.5997) Prec@1 38.125 (36.885) Prec@5 65.625 (67.644) Epoch: [24][9690/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.4860 (2.5998) Prec@1 38.125 (36.884) Prec@5 68.750 (67.643) Epoch: [24][9700/11272] Time 0.931 (0.822) Data 0.002 (0.002) Loss 2.6858 (2.5998) Prec@1 35.000 (36.883) Prec@5 64.375 (67.644) Epoch: [24][9710/11272] Time 0.760 (0.822) Data 0.002 (0.002) Loss 2.3497 (2.5997) Prec@1 38.125 (36.885) Prec@5 74.375 (67.645) Epoch: [24][9720/11272] Time 0.759 (0.822) Data 0.002 (0.002) Loss 2.6188 (2.5997) Prec@1 35.000 (36.884) Prec@5 65.625 (67.644) Epoch: [24][9730/11272] Time 0.882 (0.822) Data 0.002 (0.002) Loss 2.5187 (2.5998) Prec@1 36.875 (36.882) Prec@5 68.125 (67.642) Epoch: [24][9740/11272] Time 0.908 (0.822) Data 0.002 (0.002) Loss 2.6123 (2.5998) Prec@1 37.500 (36.880) Prec@5 65.000 (67.640) Epoch: [24][9750/11272] Time 0.777 (0.822) Data 0.002 (0.002) Loss 2.5950 (2.5999) Prec@1 38.750 (36.880) Prec@5 68.125 (67.639) Epoch: [24][9760/11272] Time 0.764 (0.822) Data 0.002 (0.002) Loss 2.7560 (2.5998) Prec@1 33.750 (36.880) Prec@5 64.375 (67.640) Epoch: [24][9770/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.7379 (2.5998) Prec@1 31.250 (36.882) Prec@5 66.250 (67.642) Epoch: [24][9780/11272] Time 0.781 (0.822) Data 0.003 (0.002) Loss 2.8538 (2.5998) Prec@1 29.375 (36.881) Prec@5 58.125 (67.641) Epoch: [24][9790/11272] Time 0.795 (0.822) Data 0.002 (0.002) Loss 2.5544 (2.5999) Prec@1 37.500 (36.880) Prec@5 66.875 (67.640) Epoch: [24][9800/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.5304 (2.5999) Prec@1 37.500 (36.882) Prec@5 75.000 (67.640) Epoch: [24][9810/11272] Time 0.954 (0.822) Data 0.002 (0.002) Loss 2.4930 (2.5999) Prec@1 39.375 (36.880) Prec@5 68.125 (67.639) Epoch: [24][9820/11272] Time 0.798 (0.822) Data 0.001 (0.002) Loss 2.8050 (2.5998) Prec@1 29.375 (36.880) Prec@5 66.250 (67.641) Epoch: [24][9830/11272] Time 0.757 (0.822) Data 0.002 (0.002) Loss 2.7066 (2.5998) Prec@1 37.500 (36.879) Prec@5 64.375 (67.641) Epoch: [24][9840/11272] Time 0.922 (0.822) Data 0.002 (0.002) Loss 2.5313 (2.5998) Prec@1 36.250 (36.882) Prec@5 71.875 (67.642) Epoch: [24][9850/11272] Time 0.857 (0.822) Data 0.002 (0.002) Loss 2.7361 (2.5998) Prec@1 36.250 (36.882) Prec@5 63.125 (67.642) Epoch: [24][9860/11272] Time 0.747 (0.822) Data 0.002 (0.002) Loss 2.4494 (2.5998) Prec@1 41.250 (36.883) Prec@5 71.875 (67.642) Epoch: [24][9870/11272] Time 0.747 (0.822) Data 0.002 (0.002) Loss 2.6214 (2.5998) Prec@1 36.250 (36.883) Prec@5 66.875 (67.641) Epoch: [24][9880/11272] Time 0.869 (0.822) Data 0.002 (0.002) Loss 2.7812 (2.5998) Prec@1 37.500 (36.883) Prec@5 65.625 (67.641) Epoch: [24][9890/11272] Time 0.895 (0.822) Data 0.002 (0.002) Loss 2.6890 (2.5999) Prec@1 33.750 (36.882) Prec@5 66.875 (67.640) Epoch: [24][9900/11272] Time 0.795 (0.822) Data 0.002 (0.002) Loss 2.7463 (2.5999) Prec@1 34.375 (36.883) Prec@5 68.125 (67.640) Epoch: [24][9910/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.6706 (2.5999) Prec@1 36.875 (36.880) Prec@5 65.625 (67.639) Epoch: [24][9920/11272] Time 0.938 (0.822) Data 0.002 (0.002) Loss 2.9170 (2.6000) Prec@1 33.750 (36.879) Prec@5 59.375 (67.638) Epoch: [24][9930/11272] Time 0.782 (0.822) Data 0.002 (0.002) Loss 2.6667 (2.6000) Prec@1 39.375 (36.879) Prec@5 65.625 (67.640) Epoch: [24][9940/11272] Time 0.768 (0.822) Data 0.002 (0.002) Loss 2.7360 (2.6000) Prec@1 36.875 (36.879) Prec@5 66.250 (67.640) Epoch: [24][9950/11272] Time 0.913 (0.822) Data 0.002 (0.002) Loss 2.7489 (2.6000) Prec@1 34.375 (36.880) Prec@5 64.375 (67.640) Epoch: [24][9960/11272] Time 0.926 (0.822) Data 0.002 (0.002) Loss 2.6256 (2.5999) Prec@1 38.125 (36.881) Prec@5 66.250 (67.641) Epoch: [24][9970/11272] Time 0.766 (0.822) Data 0.002 (0.002) Loss 2.5597 (2.5999) Prec@1 40.625 (36.882) Prec@5 64.375 (67.642) Epoch: [24][9980/11272] Time 0.768 (0.822) Data 0.001 (0.002) Loss 2.7649 (2.5998) Prec@1 30.625 (36.881) Prec@5 62.500 (67.643) Epoch: [24][9990/11272] Time 0.854 (0.822) Data 0.002 (0.002) Loss 2.4706 (2.5999) Prec@1 38.750 (36.881) Prec@5 68.750 (67.642) Epoch: [24][10000/11272] Time 0.886 (0.822) Data 0.002 (0.002) Loss 2.5992 (2.5998) Prec@1 35.000 (36.881) Prec@5 65.000 (67.642) Epoch: [24][10010/11272] Time 0.765 (0.822) Data 0.002 (0.002) Loss 2.8580 (2.6000) Prec@1 31.250 (36.879) Prec@5 63.125 (67.640) Epoch: [24][10020/11272] Time 0.755 (0.822) Data 0.002 (0.002) Loss 2.6332 (2.6000) Prec@1 37.500 (36.878) Prec@5 69.375 (67.639) Epoch: [24][10030/11272] Time 0.923 (0.822) Data 0.002 (0.002) Loss 2.5862 (2.6000) Prec@1 38.125 (36.878) Prec@5 70.625 (67.638) Epoch: [24][10040/11272] Time 0.855 (0.822) Data 0.002 (0.002) Loss 2.4839 (2.6000) Prec@1 34.375 (36.878) Prec@5 66.250 (67.637) Epoch: [24][10050/11272] Time 0.788 (0.822) Data 0.002 (0.002) Loss 2.5761 (2.6001) Prec@1 33.750 (36.877) Prec@5 72.500 (67.636) Epoch: [24][10060/11272] Time 0.861 (0.822) Data 0.002 (0.002) Loss 2.3429 (2.6001) Prec@1 43.750 (36.876) Prec@5 73.750 (67.635) Epoch: [24][10070/11272] Time 0.857 (0.822) Data 0.002 (0.002) Loss 2.8237 (2.6002) Prec@1 33.750 (36.875) Prec@5 61.250 (67.632) Epoch: [24][10080/11272] Time 0.757 (0.822) Data 0.001 (0.002) Loss 2.6758 (2.6003) Prec@1 33.750 (36.875) Prec@5 63.125 (67.633) Epoch: [24][10090/11272] Time 0.737 (0.822) Data 0.001 (0.002) Loss 2.6268 (2.6003) Prec@1 35.625 (36.874) Prec@5 67.500 (67.632) Epoch: [24][10100/11272] Time 0.906 (0.822) Data 0.002 (0.002) Loss 2.3223 (2.6003) Prec@1 40.625 (36.874) Prec@5 73.125 (67.632) Epoch: [24][10110/11272] Time 0.864 (0.822) Data 0.002 (0.002) Loss 2.4590 (2.6003) Prec@1 42.500 (36.875) Prec@5 70.625 (67.631) Epoch: [24][10120/11272] Time 0.788 (0.822) Data 0.002 (0.002) Loss 2.3929 (2.6002) Prec@1 41.875 (36.877) Prec@5 73.750 (67.632) Epoch: [24][10130/11272] Time 0.728 (0.822) Data 0.001 (0.002) Loss 2.5624 (2.6003) Prec@1 38.750 (36.876) Prec@5 68.125 (67.632) Epoch: [24][10140/11272] Time 0.892 (0.822) Data 0.002 (0.002) Loss 2.7062 (2.6004) Prec@1 38.125 (36.874) Prec@5 67.500 (67.630) Epoch: [24][10150/11272] Time 0.897 (0.822) Data 0.002 (0.002) Loss 2.3852 (2.6003) Prec@1 41.875 (36.876) Prec@5 72.500 (67.630) Epoch: [24][10160/11272] Time 0.749 (0.822) Data 0.003 (0.002) Loss 2.7256 (2.6004) Prec@1 30.625 (36.875) Prec@5 64.375 (67.628) Epoch: [24][10170/11272] Time 0.732 (0.822) Data 0.001 (0.002) Loss 2.4167 (2.6004) Prec@1 43.125 (36.875) Prec@5 70.625 (67.628) Epoch: [24][10180/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.4034 (2.6003) Prec@1 41.250 (36.875) Prec@5 71.875 (67.629) Epoch: [24][10190/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.5503 (2.6004) Prec@1 35.625 (36.876) Prec@5 68.750 (67.628) Epoch: [24][10200/11272] Time 0.744 (0.822) Data 0.001 (0.002) Loss 2.5780 (2.6003) Prec@1 37.500 (36.877) Prec@5 70.000 (67.630) Epoch: [24][10210/11272] Time 0.885 (0.822) Data 0.002 (0.002) Loss 2.6616 (2.6003) Prec@1 38.750 (36.879) Prec@5 65.625 (67.631) Epoch: [24][10220/11272] Time 0.875 (0.822) Data 0.002 (0.002) Loss 2.5298 (2.6003) Prec@1 31.250 (36.878) Prec@5 69.375 (67.630) Epoch: [24][10230/11272] Time 0.754 (0.822) Data 0.002 (0.002) Loss 2.7486 (2.6004) Prec@1 35.625 (36.876) Prec@5 64.375 (67.629) Epoch: [24][10240/11272] Time 0.796 (0.822) Data 0.002 (0.002) Loss 2.5211 (2.6003) Prec@1 38.125 (36.877) Prec@5 66.875 (67.630) Epoch: [24][10250/11272] Time 0.858 (0.822) Data 0.002 (0.002) Loss 2.3875 (2.6003) Prec@1 40.625 (36.878) Prec@5 76.875 (67.630) Epoch: [24][10260/11272] Time 0.843 (0.822) Data 0.002 (0.002) Loss 2.7396 (2.6002) Prec@1 33.750 (36.879) Prec@5 61.875 (67.630) Epoch: [24][10270/11272] Time 0.781 (0.822) Data 0.002 (0.002) Loss 2.7675 (2.6003) Prec@1 28.750 (36.877) Prec@5 68.125 (67.631) Epoch: [24][10280/11272] Time 0.767 (0.822) Data 0.002 (0.002) Loss 2.5660 (2.6003) Prec@1 38.750 (36.876) Prec@5 68.750 (67.629) Epoch: [24][10290/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.6089 (2.6004) Prec@1 38.750 (36.874) Prec@5 68.125 (67.628) Epoch: [24][10300/11272] Time 0.935 (0.822) Data 0.002 (0.002) Loss 2.6004 (2.6003) Prec@1 39.375 (36.875) Prec@5 64.375 (67.629) Epoch: [24][10310/11272] Time 0.737 (0.822) Data 0.001 (0.002) Loss 2.5927 (2.6003) Prec@1 37.500 (36.874) Prec@5 66.875 (67.629) Epoch: [24][10320/11272] Time 0.837 (0.822) Data 0.002 (0.002) Loss 2.7785 (2.6004) Prec@1 33.125 (36.872) Prec@5 58.125 (67.626) Epoch: [24][10330/11272] Time 0.902 (0.822) Data 0.002 (0.002) Loss 2.7665 (2.6004) Prec@1 28.750 (36.872) Prec@5 65.625 (67.628) Epoch: [24][10340/11272] Time 0.789 (0.822) Data 0.002 (0.002) Loss 2.6628 (2.6003) Prec@1 31.250 (36.872) Prec@5 66.250 (67.629) Epoch: [24][10350/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.8077 (2.6004) Prec@1 34.375 (36.871) Prec@5 62.500 (67.626) Epoch: [24][10360/11272] Time 0.868 (0.822) Data 0.002 (0.002) Loss 2.5436 (2.6004) Prec@1 38.125 (36.871) Prec@5 71.250 (67.627) Epoch: [24][10370/11272] Time 0.868 (0.822) Data 0.002 (0.002) Loss 2.4244 (2.6004) Prec@1 40.625 (36.871) Prec@5 69.375 (67.628) Epoch: [24][10380/11272] Time 0.723 (0.822) Data 0.001 (0.002) Loss 2.7589 (2.6005) Prec@1 36.250 (36.870) Prec@5 65.000 (67.628) Epoch: [24][10390/11272] Time 0.749 (0.822) Data 0.001 (0.002) Loss 2.4669 (2.6005) Prec@1 40.000 (36.872) Prec@5 68.750 (67.630) Epoch: [24][10400/11272] Time 0.886 (0.822) Data 0.002 (0.002) Loss 2.7675 (2.6005) Prec@1 31.250 (36.870) Prec@5 67.500 (67.630) Epoch: [24][10410/11272] Time 0.898 (0.822) Data 0.002 (0.002) Loss 2.3305 (2.6005) Prec@1 43.125 (36.869) Prec@5 71.875 (67.629) Epoch: [24][10420/11272] Time 0.756 (0.822) Data 0.001 (0.002) Loss 2.6656 (2.6005) Prec@1 36.875 (36.868) Prec@5 69.375 (67.629) Epoch: [24][10430/11272] Time 0.754 (0.822) Data 0.001 (0.002) Loss 2.6830 (2.6006) Prec@1 36.875 (36.868) Prec@5 66.875 (67.628) Epoch: [24][10440/11272] Time 0.855 (0.822) Data 0.001 (0.002) Loss 2.5275 (2.6006) Prec@1 38.750 (36.868) Prec@5 69.375 (67.629) Epoch: [24][10450/11272] Time 0.763 (0.822) Data 0.003 (0.002) Loss 2.6271 (2.6006) Prec@1 36.875 (36.868) Prec@5 66.250 (67.630) Epoch: [24][10460/11272] Time 0.749 (0.822) Data 0.002 (0.002) Loss 2.7460 (2.6006) Prec@1 36.875 (36.867) Prec@5 59.375 (67.628) Epoch: [24][10470/11272] Time 0.879 (0.822) Data 0.001 (0.002) Loss 2.6215 (2.6006) Prec@1 33.125 (36.868) Prec@5 67.500 (67.629) Epoch: [24][10480/11272] Time 0.910 (0.822) Data 0.002 (0.002) Loss 2.5568 (2.6006) Prec@1 38.750 (36.869) Prec@5 68.750 (67.629) Epoch: [24][10490/11272] Time 0.769 (0.822) Data 0.002 (0.002) Loss 2.8593 (2.6006) Prec@1 31.875 (36.868) Prec@5 62.500 (67.629) Epoch: [24][10500/11272] Time 0.782 (0.822) Data 0.001 (0.002) Loss 2.6566 (2.6007) Prec@1 35.000 (36.867) Prec@5 63.750 (67.627) Epoch: [24][10510/11272] Time 0.914 (0.822) Data 0.002 (0.002) Loss 2.8419 (2.6007) Prec@1 34.375 (36.867) Prec@5 62.500 (67.627) Epoch: [24][10520/11272] Time 0.914 (0.822) Data 0.002 (0.002) Loss 2.6160 (2.6007) Prec@1 36.875 (36.866) Prec@5 69.375 (67.629) Epoch: [24][10530/11272] Time 0.765 (0.822) Data 0.002 (0.002) Loss 2.5495 (2.6007) Prec@1 36.875 (36.867) Prec@5 69.375 (67.629) Epoch: [24][10540/11272] Time 0.770 (0.822) Data 0.002 (0.002) Loss 2.5846 (2.6006) Prec@1 35.625 (36.867) Prec@5 68.750 (67.629) Epoch: [24][10550/11272] Time 0.903 (0.822) Data 0.001 (0.002) Loss 2.4364 (2.6006) Prec@1 35.625 (36.867) Prec@5 66.875 (67.629) Epoch: [24][10560/11272] Time 0.877 (0.822) Data 0.002 (0.002) Loss 2.4031 (2.6006) Prec@1 41.250 (36.866) Prec@5 68.750 (67.630) Epoch: [24][10570/11272] Time 0.777 (0.822) Data 0.001 (0.002) Loss 2.4944 (2.6006) Prec@1 32.500 (36.866) Prec@5 70.000 (67.629) Epoch: [24][10580/11272] Time 0.883 (0.822) Data 0.003 (0.002) Loss 2.3881 (2.6005) Prec@1 38.125 (36.866) Prec@5 72.500 (67.630) Epoch: [24][10590/11272] Time 0.894 (0.822) Data 0.003 (0.002) Loss 2.7044 (2.6007) Prec@1 34.375 (36.864) Prec@5 66.250 (67.627) Epoch: [24][10600/11272] Time 0.723 (0.822) Data 0.001 (0.002) Loss 2.5401 (2.6006) Prec@1 38.750 (36.864) Prec@5 68.750 (67.628) Epoch: [24][10610/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.3691 (2.6006) Prec@1 38.750 (36.864) Prec@5 73.125 (67.629) Epoch: [24][10620/11272] Time 0.844 (0.822) Data 0.002 (0.002) Loss 2.9712 (2.6006) Prec@1 26.875 (36.865) Prec@5 62.500 (67.630) Epoch: [24][10630/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.6473 (2.6005) Prec@1 33.750 (36.865) Prec@5 65.000 (67.630) Epoch: [24][10640/11272] Time 0.754 (0.822) Data 0.002 (0.002) Loss 2.6413 (2.6006) Prec@1 33.750 (36.865) Prec@5 69.375 (67.631) Epoch: [24][10650/11272] Time 0.738 (0.822) Data 0.002 (0.002) Loss 2.6918 (2.6006) Prec@1 38.125 (36.862) Prec@5 65.000 (67.629) Epoch: [24][10660/11272] Time 0.886 (0.822) Data 0.002 (0.002) Loss 2.7009 (2.6007) Prec@1 33.125 (36.861) Prec@5 62.500 (67.628) Epoch: [24][10670/11272] Time 0.858 (0.822) Data 0.003 (0.002) Loss 2.6227 (2.6007) Prec@1 38.125 (36.861) Prec@5 70.000 (67.628) Epoch: [24][10680/11272] Time 0.760 (0.822) Data 0.001 (0.002) Loss 2.5594 (2.6007) Prec@1 36.250 (36.862) Prec@5 66.875 (67.628) Epoch: [24][10690/11272] Time 0.723 (0.822) Data 0.001 (0.002) Loss 2.7474 (2.6007) Prec@1 35.000 (36.861) Prec@5 61.875 (67.627) Epoch: [24][10700/11272] Time 0.842 (0.822) Data 0.002 (0.002) Loss 2.4264 (2.6007) Prec@1 41.250 (36.861) Prec@5 73.125 (67.628) Epoch: [24][10710/11272] Time 0.732 (0.822) Data 0.003 (0.002) Loss 2.8669 (2.6007) Prec@1 36.875 (36.862) Prec@5 63.125 (67.627) Epoch: [24][10720/11272] Time 0.728 (0.822) Data 0.002 (0.002) Loss 2.6622 (2.6007) Prec@1 39.375 (36.862) Prec@5 65.625 (67.627) Epoch: [24][10730/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.6002 (2.6007) Prec@1 38.750 (36.862) Prec@5 69.375 (67.628) Epoch: [24][10740/11272] Time 0.838 (0.822) Data 0.003 (0.002) Loss 2.7403 (2.6007) Prec@1 36.250 (36.863) Prec@5 67.500 (67.629) Epoch: [24][10750/11272] Time 0.751 (0.822) Data 0.001 (0.002) Loss 2.7574 (2.6006) Prec@1 35.625 (36.864) Prec@5 58.750 (67.628) Epoch: [24][10760/11272] Time 0.704 (0.822) Data 0.001 (0.002) Loss 2.6771 (2.6007) Prec@1 31.250 (36.862) Prec@5 66.250 (67.627) Epoch: [24][10770/11272] Time 0.876 (0.822) Data 0.002 (0.002) Loss 2.7786 (2.6007) Prec@1 29.375 (36.861) Prec@5 63.750 (67.627) Epoch: [24][10780/11272] Time 0.906 (0.822) Data 0.002 (0.002) Loss 2.6877 (2.6008) Prec@1 35.000 (36.859) Prec@5 65.625 (67.627) Epoch: [24][10790/11272] Time 0.734 (0.822) Data 0.002 (0.002) Loss 2.4471 (2.6008) Prec@1 38.750 (36.859) Prec@5 69.375 (67.626) Epoch: [24][10800/11272] Time 0.738 (0.822) Data 0.002 (0.002) Loss 2.4082 (2.6007) Prec@1 41.875 (36.861) Prec@5 71.250 (67.628) Epoch: [24][10810/11272] Time 0.942 (0.822) Data 0.002 (0.002) Loss 2.7606 (2.6007) Prec@1 33.750 (36.861) Prec@5 70.000 (67.628) Epoch: [24][10820/11272] Time 0.878 (0.822) Data 0.001 (0.002) Loss 2.4642 (2.6008) Prec@1 40.625 (36.861) Prec@5 66.875 (67.629) Epoch: [24][10830/11272] Time 0.735 (0.822) Data 0.001 (0.002) Loss 2.1940 (2.6007) Prec@1 38.750 (36.861) Prec@5 76.250 (67.631) Epoch: [24][10840/11272] Time 0.817 (0.822) Data 0.001 (0.002) Loss 2.4793 (2.6007) Prec@1 40.000 (36.860) Prec@5 68.125 (67.628) Epoch: [24][10850/11272] Time 0.854 (0.822) Data 0.002 (0.002) Loss 2.8774 (2.6008) Prec@1 31.875 (36.859) Prec@5 63.125 (67.628) Epoch: [24][10860/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.5645 (2.6008) Prec@1 40.625 (36.860) Prec@5 65.000 (67.627) Epoch: [24][10870/11272] Time 0.726 (0.822) Data 0.002 (0.002) Loss 2.4748 (2.6007) Prec@1 43.125 (36.863) Prec@5 68.750 (67.628) Epoch: [24][10880/11272] Time 0.876 (0.822) Data 0.002 (0.002) Loss 2.6901 (2.6006) Prec@1 41.250 (36.866) Prec@5 65.000 (67.630) Epoch: [24][10890/11272] Time 0.938 (0.822) Data 0.002 (0.002) Loss 2.6824 (2.6006) Prec@1 35.625 (36.866) Prec@5 70.625 (67.630) Epoch: [24][10900/11272] Time 0.801 (0.822) Data 0.002 (0.002) Loss 2.6978 (2.6006) Prec@1 31.875 (36.867) Prec@5 68.125 (67.630) Epoch: [24][10910/11272] Time 0.768 (0.822) Data 0.002 (0.002) Loss 2.4032 (2.6007) Prec@1 33.125 (36.864) Prec@5 71.875 (67.629) Epoch: [24][10920/11272] Time 0.866 (0.822) Data 0.002 (0.002) Loss 2.8110 (2.6007) Prec@1 33.750 (36.863) Prec@5 63.750 (67.628) Epoch: [24][10930/11272] Time 0.915 (0.822) Data 0.002 (0.002) Loss 2.4793 (2.6007) Prec@1 36.875 (36.866) Prec@5 68.125 (67.629) Epoch: [24][10940/11272] Time 0.754 (0.822) Data 0.002 (0.002) Loss 2.8156 (2.6007) Prec@1 34.375 (36.864) Prec@5 57.500 (67.629) Epoch: [24][10950/11272] Time 0.723 (0.822) Data 0.002 (0.002) Loss 2.9303 (2.6007) Prec@1 33.125 (36.863) Prec@5 61.875 (67.629) Epoch: [24][10960/11272] Time 0.926 (0.822) Data 0.002 (0.002) Loss 2.8757 (2.6008) Prec@1 31.875 (36.861) Prec@5 58.125 (67.628) Epoch: [24][10970/11272] Time 0.924 (0.822) Data 0.002 (0.002) Loss 2.4690 (2.6008) Prec@1 39.375 (36.861) Prec@5 71.250 (67.627) Epoch: [24][10980/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.7106 (2.6008) Prec@1 37.500 (36.861) Prec@5 64.375 (67.627) Epoch: [24][10990/11272] Time 0.896 (0.822) Data 0.002 (0.002) Loss 2.6096 (2.6008) Prec@1 38.750 (36.861) Prec@5 66.250 (67.627) Epoch: [24][11000/11272] Time 0.893 (0.822) Data 0.001 (0.002) Loss 2.7065 (2.6009) Prec@1 36.250 (36.861) Prec@5 68.125 (67.626) Epoch: [24][11010/11272] Time 0.775 (0.822) Data 0.002 (0.002) Loss 2.8527 (2.6009) Prec@1 34.375 (36.859) Prec@5 62.500 (67.625) Epoch: [24][11020/11272] Time 0.799 (0.822) Data 0.002 (0.002) Loss 2.5349 (2.6010) Prec@1 35.000 (36.860) Prec@5 71.875 (67.625) Epoch: [24][11030/11272] Time 0.904 (0.822) Data 0.002 (0.002) Loss 2.4945 (2.6010) Prec@1 39.375 (36.860) Prec@5 69.375 (67.624) Epoch: [24][11040/11272] Time 0.907 (0.822) Data 0.002 (0.002) Loss 2.4350 (2.6009) Prec@1 38.750 (36.860) Prec@5 71.250 (67.625) Epoch: [24][11050/11272] Time 0.727 (0.822) Data 0.002 (0.002) Loss 2.4221 (2.6010) Prec@1 36.250 (36.859) Prec@5 71.250 (67.624) Epoch: [24][11060/11272] Time 0.773 (0.822) Data 0.002 (0.002) Loss 2.6403 (2.6010) Prec@1 34.375 (36.859) Prec@5 67.500 (67.625) Epoch: [24][11070/11272] Time 0.876 (0.822) Data 0.002 (0.002) Loss 2.5480 (2.6009) Prec@1 43.750 (36.861) Prec@5 70.625 (67.625) Epoch: [24][11080/11272] Time 0.945 (0.822) Data 0.002 (0.002) Loss 2.5676 (2.6008) Prec@1 34.375 (36.862) Prec@5 71.250 (67.628) Epoch: [24][11090/11272] Time 0.737 (0.822) Data 0.002 (0.002) Loss 2.4999 (2.6008) Prec@1 40.000 (36.863) Prec@5 67.500 (67.628) Epoch: [24][11100/11272] Time 0.781 (0.822) Data 0.002 (0.002) Loss 2.7242 (2.6008) Prec@1 34.375 (36.864) Prec@5 62.500 (67.629) Epoch: [24][11110/11272] Time 0.889 (0.822) Data 0.002 (0.002) Loss 2.4817 (2.6008) Prec@1 39.375 (36.864) Prec@5 69.375 (67.628) Epoch: [24][11120/11272] Time 0.734 (0.822) Data 0.001 (0.002) Loss 2.6262 (2.6007) Prec@1 34.375 (36.866) Prec@5 68.125 (67.629) Epoch: [24][11130/11272] Time 0.784 (0.822) Data 0.003 (0.002) Loss 2.6518 (2.6007) Prec@1 37.500 (36.866) Prec@5 62.500 (67.628) Epoch: [24][11140/11272] Time 0.863 (0.822) Data 0.002 (0.002) Loss 2.6643 (2.6007) Prec@1 35.625 (36.865) Prec@5 68.750 (67.628) Epoch: [24][11150/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.8241 (2.6008) Prec@1 28.750 (36.864) Prec@5 63.750 (67.627) Epoch: [24][11160/11272] Time 0.770 (0.822) Data 0.001 (0.002) Loss 2.5460 (2.6008) Prec@1 41.875 (36.862) Prec@5 72.500 (67.628) Epoch: [24][11170/11272] Time 0.723 (0.822) Data 0.001 (0.002) Loss 2.6475 (2.6008) Prec@1 36.250 (36.862) Prec@5 67.500 (67.628) Epoch: [24][11180/11272] Time 0.900 (0.822) Data 0.002 (0.002) Loss 2.5436 (2.6008) Prec@1 40.000 (36.862) Prec@5 70.000 (67.628) Epoch: [24][11190/11272] Time 0.893 (0.822) Data 0.002 (0.002) Loss 2.6227 (2.6008) Prec@1 31.250 (36.861) Prec@5 66.875 (67.628) Epoch: [24][11200/11272] Time 0.768 (0.822) Data 0.001 (0.002) Loss 2.6615 (2.6008) Prec@1 36.250 (36.860) Prec@5 67.500 (67.628) Epoch: [24][11210/11272] Time 0.733 (0.822) Data 0.001 (0.002) Loss 2.6364 (2.6007) Prec@1 38.125 (36.862) Prec@5 66.875 (67.629) Epoch: [24][11220/11272] Time 0.893 (0.822) Data 0.001 (0.002) Loss 2.6554 (2.6008) Prec@1 35.000 (36.860) Prec@5 63.750 (67.628) Epoch: [24][11230/11272] Time 0.921 (0.822) Data 0.002 (0.002) Loss 2.5687 (2.6007) Prec@1 43.125 (36.862) Prec@5 68.750 (67.629) Epoch: [24][11240/11272] Time 0.753 (0.822) Data 0.002 (0.002) Loss 2.5059 (2.6007) Prec@1 37.500 (36.861) Prec@5 69.375 (67.630) Epoch: [24][11250/11272] Time 0.840 (0.822) Data 0.005 (0.002) Loss 2.6050 (2.6006) Prec@1 35.625 (36.863) Prec@5 68.750 (67.631) Epoch: [24][11260/11272] Time 0.927 (0.822) Data 0.002 (0.002) Loss 2.5497 (2.6007) Prec@1 36.875 (36.861) Prec@5 65.000 (67.629) Epoch: [24][11270/11272] Time 0.767 (0.822) Data 0.000 (0.002) Loss 2.7699 (2.6007) Prec@1 34.375 (36.862) Prec@5 63.750 (67.628) Test: [0/229] Time 1.396 (1.396) Loss 1.0844 (1.0844) Prec@1 71.875 (71.875) Prec@5 93.750 (93.750) Test: [10/229] Time 0.374 (0.478) Loss 1.4705 (2.1457) Prec@1 58.125 (45.398) Prec@5 90.625 (78.636) Test: [20/229] Time 0.379 (0.433) Loss 2.5582 (2.1700) Prec@1 37.500 (44.554) Prec@5 67.500 (77.619) Test: [30/229] Time 0.433 (0.421) Loss 2.3453 (2.0890) Prec@1 35.000 (47.036) Prec@5 74.375 (78.125) Test: [40/229] Time 0.350 (0.411) Loss 1.0332 (2.1240) Prec@1 74.375 (45.915) Prec@5 89.375 (77.515) Test: [50/229] Time 0.314 (0.405) Loss 2.9240 (2.1878) Prec@1 25.625 (44.473) Prec@5 61.250 (76.176) Test: [60/229] Time 0.457 (0.402) Loss 2.7548 (2.1866) Prec@1 21.250 (44.262) Prec@5 69.375 (75.799) Test: [70/229] Time 0.360 (0.398) Loss 1.6500 (2.2060) Prec@1 56.875 (43.988) Prec@5 85.000 (75.590) Test: [80/229] Time 0.421 (0.397) Loss 2.4628 (2.2235) Prec@1 30.000 (43.403) Prec@5 77.500 (75.656) Test: [90/229] Time 0.343 (0.395) Loss 2.6710 (2.2317) Prec@1 43.125 (43.249) Prec@5 66.250 (75.618) Test: [100/229] Time 0.418 (0.395) Loss 2.7935 (2.2287) Prec@1 37.500 (43.700) Prec@5 70.625 (75.804) Test: [110/229] Time 0.338 (0.395) Loss 2.1046 (2.2192) Prec@1 46.250 (43.953) Prec@5 75.625 (75.845) Test: [120/229] Time 0.346 (0.394) Loss 3.9004 (2.2408) Prec@1 9.375 (43.295) Prec@5 43.125 (75.480) Test: [130/229] Time 0.426 (0.394) Loss 1.2571 (2.2277) Prec@1 65.625 (43.511) Prec@5 90.625 (75.673) Test: [140/229] Time 0.358 (0.393) Loss 2.1928 (2.2410) Prec@1 44.375 (43.059) Prec@5 76.250 (75.523) Test: [150/229] Time 0.444 (0.392) Loss 2.0625 (2.2563) Prec@1 53.125 (42.732) Prec@5 77.500 (75.377) Test: [160/229] Time 0.383 (0.392) Loss 2.2771 (2.2582) Prec@1 45.000 (42.710) Prec@5 80.000 (75.353) Test: [170/229] Time 0.469 (0.392) Loss 3.2953 (2.2725) Prec@1 21.875 (42.273) Prec@5 58.125 (75.033) Test: [180/229] Time 0.353 (0.391) Loss 3.2009 (2.2779) Prec@1 19.375 (42.310) Prec@5 49.375 (74.841) Test: [190/229] Time 0.330 (0.391) Loss 2.0694 (2.2688) Prec@1 44.375 (42.526) Prec@5 80.625 (74.990) Test: [200/229] Time 0.435 (0.391) Loss 2.3589 (2.2626) Prec@1 38.125 (42.590) Prec@5 73.125 (75.233) Test: [210/229] Time 0.358 (0.390) Loss 1.6153 (2.2576) Prec@1 60.625 (42.770) Prec@5 85.625 (75.261) Test: [220/229] Time 0.439 (0.391) Loss 1.8533 (2.2506) Prec@1 45.625 (43.023) Prec@5 85.625 (75.331) * Prec@1 43.460 Prec@5 75.486 Epoch: [25][0/11272] Time 3.007 (3.007) Data 2.022 (2.022) Loss 2.6070 (2.6070) Prec@1 38.125 (38.125) Prec@5 68.750 (68.750) Epoch: [25][10/11272] Time 0.754 (1.022) Data 0.002 (0.185) Loss 2.5113 (2.5772) Prec@1 43.125 (38.182) Prec@5 68.750 (68.523) Epoch: [25][20/11272] Time 0.748 (0.924) Data 0.002 (0.098) Loss 2.5374 (2.5769) Prec@1 37.500 (38.065) Prec@5 68.125 (67.768) Epoch: [25][30/11272] Time 0.906 (0.890) Data 0.002 (0.067) Loss 2.3107 (2.5912) Prec@1 45.625 (37.581) Prec@5 72.500 (67.681) Epoch: [25][40/11272] Time 0.756 (0.869) Data 0.004 (0.051) Loss 2.5669 (2.6041) Prec@1 41.250 (37.348) Prec@5 67.500 (67.165) Epoch: [25][50/11272] Time 0.793 (0.864) Data 0.001 (0.041) Loss 2.3006 (2.5950) Prec@1 46.875 (37.292) Prec@5 73.125 (67.451) Epoch: [25][60/11272] Time 0.857 (0.858) Data 0.002 (0.035) Loss 2.5119 (2.5786) Prec@1 39.375 (37.582) Prec@5 71.250 (67.756) Epoch: [25][70/11272] Time 0.889 (0.853) Data 0.002 (0.030) Loss 2.6878 (2.5713) Prec@1 36.875 (37.694) Prec@5 63.750 (68.081) Epoch: [25][80/11272] Time 0.730 (0.850) Data 0.002 (0.027) Loss 2.5727 (2.5699) Prec@1 41.875 (37.662) Prec@5 66.875 (68.040) Epoch: [25][90/11272] Time 0.735 (0.846) Data 0.002 (0.024) Loss 2.6155 (2.5606) Prec@1 42.500 (37.837) Prec@5 68.750 (68.180) Epoch: [25][100/11272] Time 0.913 (0.845) Data 0.002 (0.022) Loss 2.6648 (2.5524) Prec@1 39.375 (38.026) Prec@5 66.875 (68.317) Epoch: [25][110/11272] Time 1.009 (0.844) Data 0.002 (0.020) Loss 2.5630 (2.5522) Prec@1 41.250 (38.069) Prec@5 66.875 (68.339) Epoch: [25][120/11272] Time 0.770 (0.840) Data 0.002 (0.018) Loss 2.3319 (2.5495) Prec@1 40.625 (38.063) Prec@5 75.625 (68.425) Epoch: [25][130/11272] Time 0.769 (0.839) Data 0.002 (0.017) Loss 2.5654 (2.5602) Prec@1 33.125 (37.810) Prec@5 64.375 (68.092) Epoch: [25][140/11272] Time 0.960 (0.839) Data 0.002 (0.016) Loss 2.4368 (2.5577) Prec@1 38.125 (37.850) Prec@5 72.500 (68.191) Epoch: [25][150/11272] Time 0.937 (0.838) Data 0.002 (0.015) Loss 2.4616 (2.5617) Prec@1 36.250 (37.736) Prec@5 78.125 (68.175) Epoch: [25][160/11272] Time 0.791 (0.838) Data 0.002 (0.014) Loss 2.6274 (2.5640) Prec@1 33.750 (37.620) Prec@5 68.125 (68.109) Epoch: [25][170/11272] Time 0.932 (0.838) Data 0.002 (0.014) Loss 2.7649 (2.5647) Prec@1 31.875 (37.580) Prec@5 66.250 (68.143) Epoch: [25][180/11272] Time 0.874 (0.837) Data 0.001 (0.013) Loss 2.5652 (2.5679) Prec@1 39.375 (37.538) Prec@5 65.625 (68.104) Epoch: [25][190/11272] Time 0.743 (0.836) Data 0.001 (0.012) Loss 2.5275 (2.5692) Prec@1 38.750 (37.516) Prec@5 69.375 (68.096) Epoch: [25][200/11272] Time 0.732 (0.835) Data 0.002 (0.012) Loss 2.7101 (2.5716) Prec@1 33.750 (37.363) Prec@5 63.750 (68.078) Epoch: [25][210/11272] Time 0.857 (0.834) Data 0.002 (0.011) Loss 2.4743 (2.5736) Prec@1 34.375 (37.290) Prec@5 72.500 (68.069) Epoch: [25][220/11272] Time 0.897 (0.834) Data 0.002 (0.011) Loss 2.5793 (2.5755) Prec@1 33.750 (37.288) Prec@5 70.000 (67.986) Epoch: [25][230/11272] Time 0.736 (0.833) Data 0.002 (0.010) Loss 2.4179 (2.5751) Prec@1 40.000 (37.259) Prec@5 72.500 (68.060) Epoch: [25][240/11272] Time 0.777 (0.832) Data 0.002 (0.010) Loss 2.7096 (2.5757) Prec@1 38.750 (37.300) Prec@5 61.250 (68.006) Epoch: [25][250/11272] Time 0.897 (0.832) Data 0.001 (0.010) Loss 2.7132 (2.5768) Prec@1 40.000 (37.390) Prec@5 65.625 (67.976) Epoch: [25][260/11272] Time 0.897 (0.832) Data 0.002 (0.009) Loss 2.5353 (2.5763) Prec@1 35.625 (37.332) Prec@5 68.125 (67.974) Epoch: [25][270/11272] Time 0.734 (0.831) Data 0.002 (0.009) Loss 2.5124 (2.5760) Prec@1 38.125 (37.362) Prec@5 68.125 (67.931) Epoch: [25][280/11272] Time 0.759 (0.830) Data 0.002 (0.009) Loss 2.6814 (2.5783) Prec@1 35.625 (37.298) Prec@5 64.375 (67.863) Epoch: [25][290/11272] Time 0.871 (0.830) Data 0.002 (0.009) Loss 2.5549 (2.5780) Prec@1 37.500 (37.279) Prec@5 66.875 (67.906) Epoch: [25][300/11272] Time 0.756 (0.829) Data 0.004 (0.008) Loss 2.9486 (2.5773) Prec@1 30.000 (37.257) Prec@5 61.875 (67.897) Epoch: [25][310/11272] Time 0.813 (0.829) Data 0.002 (0.008) Loss 2.6377 (2.5786) Prec@1 37.500 (37.217) Prec@5 65.625 (67.910) Epoch: [25][320/11272] Time 0.891 (0.828) Data 0.002 (0.008) Loss 2.6413 (2.5789) Prec@1 38.125 (37.198) Prec@5 68.125 (67.899) Epoch: [25][330/11272] Time 0.804 (0.828) Data 0.001 (0.008) Loss 2.4653 (2.5776) Prec@1 40.000 (37.200) Prec@5 71.250 (67.927) Epoch: [25][340/11272] Time 0.761 (0.828) Data 0.003 (0.008) Loss 2.3969 (2.5745) Prec@1 38.750 (37.238) Prec@5 68.125 (67.980) Epoch: [25][350/11272] Time 0.783 (0.828) Data 0.004 (0.008) Loss 2.4459 (2.5722) Prec@1 40.000 (37.261) Prec@5 69.375 (68.048) Epoch: [25][360/11272] Time 0.865 (0.828) Data 0.001 (0.007) Loss 2.5857 (2.5723) Prec@1 38.125 (37.256) Prec@5 65.625 (68.014) Epoch: [25][370/11272] Time 0.883 (0.828) Data 0.002 (0.007) Loss 2.8163 (2.5728) Prec@1 30.625 (37.269) Prec@5 62.500 (67.985) Epoch: [25][380/11272] Time 0.762 (0.828) Data 0.002 (0.007) Loss 2.4983 (2.5702) Prec@1 38.125 (37.315) Prec@5 70.000 (68.030) Epoch: [25][390/11272] Time 0.770 (0.828) Data 0.002 (0.007) Loss 2.6187 (2.5697) Prec@1 33.750 (37.300) Prec@5 65.000 (68.050) Epoch: [25][400/11272] Time 0.905 (0.828) Data 0.002 (0.007) Loss 2.7169 (2.5706) Prec@1 29.375 (37.266) Prec@5 64.375 (68.036) Epoch: [25][410/11272] Time 0.847 (0.827) Data 0.002 (0.007) Loss 2.3982 (2.5719) Prec@1 38.125 (37.261) Prec@5 71.875 (68.019) Epoch: [25][420/11272] Time 0.748 (0.827) Data 0.002 (0.007) Loss 2.7541 (2.5729) Prec@1 38.125 (37.257) Prec@5 64.375 (68.005) Epoch: [25][430/11272] Time 0.899 (0.827) Data 0.002 (0.006) Loss 2.3914 (2.5714) Prec@1 38.750 (37.264) Prec@5 70.000 (68.044) Epoch: [25][440/11272] Time 0.822 (0.827) Data 0.001 (0.006) Loss 2.9031 (2.5706) Prec@1 30.000 (37.283) Prec@5 60.625 (68.077) Epoch: [25][450/11272] Time 0.770 (0.826) Data 0.002 (0.006) Loss 2.6586 (2.5699) Prec@1 30.625 (37.298) Prec@5 65.625 (68.106) Epoch: [25][460/11272] Time 0.733 (0.826) Data 0.001 (0.006) Loss 2.3807 (2.5691) Prec@1 45.625 (37.331) Prec@5 71.875 (68.114) Epoch: [25][470/11272] Time 0.880 (0.826) Data 0.002 (0.006) Loss 2.5161 (2.5694) Prec@1 38.125 (37.335) Prec@5 68.125 (68.108) Epoch: [25][480/11272] Time 0.873 (0.826) Data 0.002 (0.006) Loss 2.7702 (2.5693) Prec@1 36.250 (37.362) Prec@5 69.375 (68.103) Epoch: [25][490/11272] Time 0.775 (0.826) Data 0.002 (0.006) Loss 2.3986 (2.5694) Prec@1 41.875 (37.354) Prec@5 73.125 (68.107) Epoch: [25][500/11272] Time 0.759 (0.826) Data 0.002 (0.006) Loss 2.7535 (2.5688) Prec@1 38.125 (37.363) Prec@5 65.625 (68.125) Epoch: [25][510/11272] Time 0.815 (0.826) Data 0.001 (0.006) Loss 2.5928 (2.5696) Prec@1 37.500 (37.365) Prec@5 65.625 (68.109) Epoch: [25][520/11272] Time 0.831 (0.825) Data 0.001 (0.006) Loss 2.5545 (2.5689) Prec@1 33.125 (37.362) Prec@5 70.000 (68.149) Epoch: [25][530/11272] Time 0.802 (0.826) Data 0.002 (0.006) Loss 2.4852 (2.5695) Prec@1 40.625 (37.365) Prec@5 70.000 (68.136) Epoch: [25][540/11272] Time 0.758 (0.826) Data 0.002 (0.005) Loss 2.5663 (2.5695) Prec@1 35.000 (37.369) Prec@5 68.125 (68.117) Epoch: [25][550/11272] Time 0.927 (0.826) Data 0.002 (0.005) Loss 2.4966 (2.5700) Prec@1 39.375 (37.372) Prec@5 66.250 (68.089) Epoch: [25][560/11272] Time 0.902 (0.826) Data 0.002 (0.005) Loss 2.5888 (2.5693) Prec@1 36.875 (37.400) Prec@5 66.250 (68.096) Epoch: [25][570/11272] Time 0.734 (0.826) Data 0.001 (0.005) Loss 2.4464 (2.5700) Prec@1 39.375 (37.416) Prec@5 70.625 (68.083) Epoch: [25][580/11272] Time 0.899 (0.826) Data 0.002 (0.005) Loss 2.6063 (2.5715) Prec@1 41.250 (37.392) Prec@5 66.250 (68.058) Epoch: [25][590/11272] Time 0.816 (0.826) Data 0.001 (0.005) Loss 2.6943 (2.5732) Prec@1 33.750 (37.369) Prec@5 66.875 (68.022) Epoch: [25][600/11272] Time 0.729 (0.826) Data 0.001 (0.005) Loss 2.4257 (2.5741) Prec@1 43.125 (37.375) Prec@5 70.000 (68.002) Epoch: [25][610/11272] Time 0.726 (0.826) Data 0.001 (0.005) Loss 2.4683 (2.5750) Prec@1 39.375 (37.355) Prec@5 70.000 (67.974) Epoch: [25][620/11272] Time 0.877 (0.826) Data 0.002 (0.005) Loss 2.3807 (2.5756) Prec@1 43.125 (37.349) Prec@5 71.875 (67.990) Epoch: [25][630/11272] Time 0.923 (0.826) Data 0.002 (0.005) Loss 2.5053 (2.5762) Prec@1 38.125 (37.347) Prec@5 66.250 (67.961) Epoch: [25][640/11272] Time 0.770 (0.826) Data 0.002 (0.005) Loss 2.9095 (2.5771) Prec@1 36.250 (37.362) Prec@5 63.125 (67.952) Epoch: [25][650/11272] Time 0.734 (0.826) Data 0.001 (0.005) Loss 2.5670 (2.5767) Prec@1 38.125 (37.358) Prec@5 67.500 (67.963) Epoch: [25][660/11272] Time 0.920 (0.826) Data 0.002 (0.005) Loss 2.6653 (2.5774) Prec@1 38.125 (37.354) Prec@5 71.875 (67.943) Epoch: [25][670/11272] Time 0.907 (0.826) Data 0.002 (0.005) Loss 2.5552 (2.5775) Prec@1 35.625 (37.360) Prec@5 65.000 (67.936) Epoch: [25][680/11272] Time 0.758 (0.826) Data 0.001 (0.005) Loss 2.8645 (2.5777) Prec@1 31.875 (37.361) Prec@5 63.750 (67.931) Epoch: [25][690/11272] Time 0.750 (0.825) Data 0.002 (0.005) Loss 2.4413 (2.5774) Prec@1 43.125 (37.374) Prec@5 70.625 (67.947) Epoch: [25][700/11272] Time 0.936 (0.826) Data 0.002 (0.005) Loss 2.3477 (2.5759) Prec@1 42.500 (37.402) Prec@5 75.625 (67.978) Epoch: [25][710/11272] Time 0.767 (0.826) Data 0.001 (0.005) Loss 2.5548 (2.5760) Prec@1 39.375 (37.412) Prec@5 72.500 (67.987) Epoch: [25][720/11272] Time 0.809 (0.826) Data 0.002 (0.005) Loss 2.5941 (2.5763) Prec@1 38.125 (37.400) Prec@5 66.250 (67.987) Epoch: [25][730/11272] Time 0.848 (0.826) Data 0.002 (0.005) Loss 2.5845 (2.5760) Prec@1 31.875 (37.404) Prec@5 69.375 (67.981) Epoch: [25][740/11272] Time 0.909 (0.826) Data 0.002 (0.004) Loss 2.3437 (2.5757) Prec@1 36.250 (37.421) Prec@5 71.250 (67.996) Epoch: [25][750/11272] Time 0.765 (0.826) Data 0.002 (0.004) Loss 2.4602 (2.5764) Prec@1 38.750 (37.386) Prec@5 71.250 (67.981) Epoch: [25][760/11272] Time 0.764 (0.826) Data 0.002 (0.004) Loss 2.5636 (2.5767) Prec@1 35.000 (37.382) Prec@5 68.125 (67.989) Epoch: [25][770/11272] Time 0.879 (0.826) Data 0.002 (0.004) Loss 2.5869 (2.5777) Prec@1 35.000 (37.366) Prec@5 66.875 (67.968) Epoch: [25][780/11272] Time 0.873 (0.826) Data 0.002 (0.004) Loss 2.7169 (2.5775) Prec@1 33.125 (37.367) Prec@5 64.375 (67.975) Epoch: [25][790/11272] Time 0.726 (0.826) Data 0.001 (0.004) Loss 2.8817 (2.5789) Prec@1 34.375 (37.330) Prec@5 61.875 (67.944) Epoch: [25][800/11272] Time 0.733 (0.826) Data 0.002 (0.004) Loss 2.6188 (2.5783) Prec@1 31.250 (37.344) Prec@5 67.500 (67.952) Epoch: [25][810/11272] Time 0.916 (0.826) Data 0.002 (0.004) Loss 2.5969 (2.5780) Prec@1 36.250 (37.345) Prec@5 69.375 (67.955) Epoch: [25][820/11272] Time 0.889 (0.826) Data 0.002 (0.004) Loss 2.7276 (2.5783) Prec@1 28.750 (37.323) Prec@5 68.125 (67.954) Epoch: [25][830/11272] Time 0.758 (0.826) Data 0.002 (0.004) Loss 2.6585 (2.5792) Prec@1 35.000 (37.286) Prec@5 68.125 (67.940) Epoch: [25][840/11272] Time 0.889 (0.826) Data 0.002 (0.004) Loss 2.5681 (2.5790) Prec@1 38.125 (37.291) Prec@5 69.375 (67.936) Epoch: [25][850/11272] Time 0.915 (0.826) Data 0.002 (0.004) Loss 2.7750 (2.5793) Prec@1 31.250 (37.264) Prec@5 64.375 (67.928) Epoch: [25][860/11272] Time 0.782 (0.826) Data 0.002 (0.004) Loss 2.5871 (2.5794) Prec@1 32.500 (37.265) Prec@5 65.625 (67.933) Epoch: [25][870/11272] Time 0.767 (0.826) Data 0.002 (0.004) Loss 2.7501 (2.5796) Prec@1 36.250 (37.276) Prec@5 59.375 (67.920) Epoch: [25][880/11272] Time 0.894 (0.826) Data 0.002 (0.004) Loss 2.4197 (2.5795) Prec@1 38.750 (37.262) Prec@5 65.625 (67.933) Epoch: [25][890/11272] Time 0.939 (0.826) Data 0.002 (0.004) Loss 2.4802 (2.5803) Prec@1 39.375 (37.254) Prec@5 70.625 (67.922) Epoch: [25][900/11272] Time 0.785 (0.826) Data 0.002 (0.004) Loss 2.8899 (2.5812) Prec@1 33.125 (37.227) Prec@5 60.625 (67.886) Epoch: [25][910/11272] Time 0.768 (0.826) Data 0.002 (0.004) Loss 2.4180 (2.5820) Prec@1 40.000 (37.227) Prec@5 68.750 (67.883) Epoch: [25][920/11272] Time 0.928 (0.826) Data 0.002 (0.004) Loss 2.4729 (2.5819) Prec@1 38.125 (37.229) Prec@5 66.250 (67.875) Epoch: [25][930/11272] Time 0.924 (0.826) Data 0.001 (0.004) Loss 2.6293 (2.5824) Prec@1 38.750 (37.212) Prec@5 68.750 (67.881) Epoch: [25][940/11272] Time 0.791 (0.826) Data 0.001 (0.004) Loss 2.4043 (2.5827) Prec@1 37.500 (37.194) Prec@5 71.250 (67.875) Epoch: [25][950/11272] Time 0.734 (0.826) Data 0.001 (0.004) Loss 2.5111 (2.5824) Prec@1 36.875 (37.200) Prec@5 71.250 (67.875) Epoch: [25][960/11272] Time 0.874 (0.826) Data 0.002 (0.004) Loss 2.4732 (2.5823) Prec@1 38.750 (37.201) Prec@5 72.500 (67.892) Epoch: [25][970/11272] Time 0.756 (0.826) Data 0.004 (0.004) Loss 2.9233 (2.5829) Prec@1 27.500 (37.181) Prec@5 61.875 (67.883) Epoch: [25][980/11272] Time 0.770 (0.826) Data 0.001 (0.004) Loss 2.3865 (2.5820) Prec@1 36.250 (37.202) Prec@5 72.500 (67.891) Epoch: [25][990/11272] Time 0.822 (0.826) Data 0.002 (0.004) Loss 2.3933 (2.5821) Prec@1 42.500 (37.199) Prec@5 68.125 (67.896) Epoch: [25][1000/11272] Time 0.885 (0.826) Data 0.002 (0.004) Loss 2.5003 (2.5822) Prec@1 36.250 (37.189) Prec@5 68.750 (67.887) Epoch: [25][1010/11272] Time 0.746 (0.826) Data 0.002 (0.004) Loss 2.8521 (2.5822) Prec@1 31.875 (37.196) Prec@5 57.500 (67.875) Epoch: [25][1020/11272] Time 0.740 (0.826) Data 0.002 (0.004) Loss 2.5869 (2.5824) Prec@1 35.000 (37.199) Prec@5 70.000 (67.870) Epoch: [25][1030/11272] Time 0.860 (0.826) Data 0.002 (0.004) Loss 2.6217 (2.5826) Prec@1 33.125 (37.205) Prec@5 70.625 (67.863) Epoch: [25][1040/11272] Time 0.903 (0.826) Data 0.001 (0.004) Loss 2.7279 (2.5826) Prec@1 28.750 (37.200) Prec@5 63.125 (67.862) Epoch: [25][1050/11272] Time 0.752 (0.825) Data 0.002 (0.004) Loss 2.7652 (2.5838) Prec@1 33.125 (37.176) Prec@5 63.125 (67.835) Epoch: [25][1060/11272] Time 0.751 (0.825) Data 0.002 (0.004) Loss 2.7510 (2.5835) Prec@1 34.375 (37.180) Prec@5 65.625 (67.842) Epoch: [25][1070/11272] Time 0.841 (0.825) Data 0.002 (0.004) Loss 2.5692 (2.5839) Prec@1 41.250 (37.176) Prec@5 68.125 (67.836) Epoch: [25][1080/11272] Time 0.874 (0.825) Data 0.002 (0.004) Loss 2.5018 (2.5833) Prec@1 37.500 (37.185) Prec@5 70.625 (67.857) Epoch: [25][1090/11272] Time 0.766 (0.825) Data 0.002 (0.004) Loss 2.6836 (2.5837) Prec@1 33.750 (37.172) Prec@5 67.500 (67.851) Epoch: [25][1100/11272] Time 0.909 (0.825) Data 0.002 (0.004) Loss 2.6535 (2.5831) Prec@1 40.625 (37.193) Prec@5 69.375 (67.859) Epoch: [25][1110/11272] Time 0.898 (0.825) Data 0.002 (0.004) Loss 2.9886 (2.5839) Prec@1 32.500 (37.179) Prec@5 58.125 (67.852) Epoch: [25][1120/11272] Time 0.761 (0.825) Data 0.001 (0.004) Loss 2.5801 (2.5837) Prec@1 38.750 (37.193) Prec@5 68.125 (67.866) Epoch: [25][1130/11272] Time 0.731 (0.825) Data 0.001 (0.004) Loss 2.7137 (2.5845) Prec@1 33.750 (37.181) Prec@5 66.250 (67.849) Epoch: [25][1140/11272] Time 0.860 (0.825) Data 0.002 (0.004) Loss 2.4695 (2.5840) Prec@1 38.750 (37.188) Prec@5 68.750 (67.857) Epoch: [25][1150/11272] Time 0.895 (0.825) Data 0.001 (0.004) Loss 2.8987 (2.5840) Prec@1 35.625 (37.189) Prec@5 61.250 (67.867) Epoch: [25][1160/11272] Time 0.796 (0.825) Data 0.001 (0.004) Loss 2.5049 (2.5845) Prec@1 40.625 (37.175) Prec@5 66.250 (67.845) Epoch: [25][1170/11272] Time 0.749 (0.825) Data 0.001 (0.003) Loss 2.6217 (2.5848) Prec@1 30.625 (37.155) Prec@5 70.625 (67.845) Epoch: [25][1180/11272] Time 0.825 (0.825) Data 0.001 (0.003) Loss 2.5243 (2.5843) Prec@1 40.000 (37.171) Prec@5 66.875 (67.854) Epoch: [25][1190/11272] Time 0.912 (0.825) Data 0.002 (0.003) Loss 2.3025 (2.5838) Prec@1 42.500 (37.178) Prec@5 75.000 (67.867) Epoch: [25][1200/11272] Time 0.737 (0.825) Data 0.002 (0.003) Loss 2.6313 (2.5836) Prec@1 38.750 (37.190) Prec@5 64.375 (67.865) Epoch: [25][1210/11272] Time 0.739 (0.825) Data 0.002 (0.003) Loss 2.5548 (2.5833) Prec@1 42.500 (37.213) Prec@5 73.125 (67.877) Epoch: [25][1220/11272] Time 0.888 (0.825) Data 0.002 (0.003) Loss 2.9693 (2.5840) Prec@1 28.125 (37.199) Prec@5 59.375 (67.865) Epoch: [25][1230/11272] Time 0.738 (0.825) Data 0.004 (0.003) Loss 2.4209 (2.5837) Prec@1 40.000 (37.209) Prec@5 67.500 (67.879) Epoch: [25][1240/11272] Time 0.758 (0.824) Data 0.002 (0.003) Loss 2.6002 (2.5835) Prec@1 37.500 (37.214) Prec@5 66.250 (67.897) Epoch: [25][1250/11272] Time 0.877 (0.824) Data 0.002 (0.003) Loss 2.8280 (2.5839) Prec@1 32.500 (37.200) Prec@5 62.500 (67.891) Epoch: [25][1260/11272] Time 0.913 (0.824) Data 0.002 (0.003) Loss 2.5956 (2.5838) Prec@1 35.625 (37.210) Prec@5 71.875 (67.897) Epoch: [25][1270/11272] Time 0.767 (0.824) Data 0.002 (0.003) Loss 2.2385 (2.5839) Prec@1 45.000 (37.208) Prec@5 75.625 (67.904) Epoch: [25][1280/11272] Time 0.781 (0.824) Data 0.002 (0.003) Loss 2.6115 (2.5839) Prec@1 32.500 (37.204) Prec@5 66.875 (67.914) Epoch: [25][1290/11272] Time 0.851 (0.824) Data 0.002 (0.003) Loss 2.8687 (2.5844) Prec@1 33.125 (37.195) Prec@5 63.750 (67.910) Epoch: [25][1300/11272] Time 0.903 (0.824) Data 0.001 (0.003) Loss 2.6423 (2.5843) Prec@1 41.875 (37.205) Prec@5 64.375 (67.902) Epoch: [25][1310/11272] Time 0.717 (0.824) Data 0.001 (0.003) Loss 2.6421 (2.5842) Prec@1 31.875 (37.201) Prec@5 67.500 (67.900) Epoch: [25][1320/11272] Time 0.728 (0.824) Data 0.002 (0.003) Loss 2.8232 (2.5850) Prec@1 32.500 (37.189) Prec@5 65.625 (67.880) Epoch: [25][1330/11272] Time 0.867 (0.824) Data 0.001 (0.003) Loss 2.4740 (2.5848) Prec@1 37.500 (37.193) Prec@5 71.875 (67.890) Epoch: [25][1340/11272] Time 0.872 (0.824) Data 0.002 (0.003) Loss 2.7259 (2.5847) Prec@1 35.000 (37.198) Prec@5 66.875 (67.893) Epoch: [25][1350/11272] Time 0.721 (0.824) Data 0.002 (0.003) Loss 2.6155 (2.5843) Prec@1 35.000 (37.202) Prec@5 66.875 (67.912) Epoch: [25][1360/11272] Time 0.860 (0.824) Data 0.001 (0.003) Loss 2.6359 (2.5851) Prec@1 33.125 (37.187) Prec@5 68.125 (67.890) Epoch: [25][1370/11272] Time 0.892 (0.824) Data 0.002 (0.003) Loss 2.7370 (2.5853) Prec@1 35.625 (37.190) Prec@5 66.875 (67.892) Epoch: [25][1380/11272] Time 0.769 (0.824) Data 0.002 (0.003) Loss 2.6092 (2.5857) Prec@1 40.000 (37.190) Prec@5 65.625 (67.872) Epoch: [25][1390/11272] Time 0.776 (0.824) Data 0.002 (0.003) Loss 2.5276 (2.5857) Prec@1 34.375 (37.197) Prec@5 65.000 (67.872) Epoch: [25][1400/11272] Time 0.856 (0.824) Data 0.002 (0.003) Loss 2.7722 (2.5861) Prec@1 33.125 (37.192) Prec@5 68.125 (67.864) Epoch: [25][1410/11272] Time 0.914 (0.824) Data 0.002 (0.003) Loss 2.5571 (2.5867) Prec@1 38.125 (37.184) Prec@5 69.375 (67.848) Epoch: [25][1420/11272] Time 0.772 (0.824) Data 0.002 (0.003) Loss 2.8069 (2.5873) Prec@1 32.500 (37.171) Prec@5 63.750 (67.840) Epoch: [25][1430/11272] Time 0.742 (0.824) Data 0.002 (0.003) Loss 2.5739 (2.5874) Prec@1 40.000 (37.167) Prec@5 68.750 (67.835) Epoch: [25][1440/11272] Time 0.839 (0.824) Data 0.001 (0.003) Loss 2.7195 (2.5876) Prec@1 32.500 (37.149) Prec@5 63.750 (67.836) Epoch: [25][1450/11272] Time 0.909 (0.824) Data 0.002 (0.003) Loss 2.3943 (2.5878) Prec@1 41.250 (37.142) Prec@5 73.750 (67.839) Epoch: [25][1460/11272] Time 0.757 (0.824) Data 0.002 (0.003) Loss 2.5684 (2.5883) Prec@1 33.750 (37.126) Prec@5 66.875 (67.835) Epoch: [25][1470/11272] Time 0.727 (0.824) Data 0.001 (0.003) Loss 2.8262 (2.5885) Prec@1 31.875 (37.121) Prec@5 66.875 (67.832) Epoch: [25][1480/11272] Time 0.866 (0.824) Data 0.002 (0.003) Loss 2.2827 (2.5881) Prec@1 46.250 (37.125) Prec@5 77.500 (67.841) Epoch: [25][1490/11272] Time 0.836 (0.824) Data 0.002 (0.003) Loss 2.5043 (2.5882) Prec@1 45.000 (37.126) Prec@5 68.750 (67.845) Epoch: [25][1500/11272] Time 0.766 (0.824) Data 0.002 (0.003) Loss 2.8943 (2.5885) Prec@1 31.875 (37.113) Prec@5 62.500 (67.833) Epoch: [25][1510/11272] Time 0.892 (0.824) Data 0.002 (0.003) Loss 2.7598 (2.5887) Prec@1 34.375 (37.108) Prec@5 65.625 (67.826) Epoch: [25][1520/11272] Time 0.850 (0.824) Data 0.001 (0.003) Loss 2.4634 (2.5888) Prec@1 40.000 (37.114) Prec@5 67.500 (67.825) Epoch: [25][1530/11272] Time 0.749 (0.824) Data 0.002 (0.003) Loss 2.5523 (2.5889) Prec@1 35.000 (37.104) Prec@5 71.250 (67.839) Epoch: [25][1540/11272] Time 0.783 (0.824) Data 0.001 (0.003) Loss 2.7634 (2.5885) Prec@1 33.125 (37.109) Prec@5 65.000 (67.853) Epoch: [25][1550/11272] Time 0.881 (0.824) Data 0.002 (0.003) Loss 2.8853 (2.5886) Prec@1 31.875 (37.110) Prec@5 56.250 (67.847) Epoch: [25][1560/11272] Time 0.909 (0.824) Data 0.001 (0.003) Loss 2.5344 (2.5886) Prec@1 37.500 (37.102) Prec@5 67.500 (67.851) Epoch: [25][1570/11272] Time 0.794 (0.824) Data 0.002 (0.003) Loss 2.4866 (2.5888) Prec@1 41.250 (37.099) Prec@5 72.500 (67.847) Epoch: [25][1580/11272] Time 0.755 (0.824) Data 0.002 (0.003) Loss 2.5134 (2.5891) Prec@1 39.375 (37.092) Prec@5 66.875 (67.840) Epoch: [25][1590/11272] Time 0.931 (0.824) Data 0.002 (0.003) Loss 2.4222 (2.5889) Prec@1 36.875 (37.098) Prec@5 68.125 (67.848) Epoch: [25][1600/11272] Time 0.842 (0.824) Data 0.002 (0.003) Loss 2.5741 (2.5887) Prec@1 35.000 (37.098) Prec@5 70.000 (67.851) Epoch: [25][1610/11272] Time 0.733 (0.824) Data 0.002 (0.003) Loss 2.5279 (2.5883) Prec@1 38.750 (37.099) Prec@5 66.875 (67.855) Epoch: [25][1620/11272] Time 0.752 (0.824) Data 0.002 (0.003) Loss 2.6659 (2.5881) Prec@1 31.875 (37.098) Prec@5 66.875 (67.855) Epoch: [25][1630/11272] Time 0.855 (0.824) Data 0.002 (0.003) Loss 2.7699 (2.5882) Prec@1 34.375 (37.098) Prec@5 65.000 (67.852) Epoch: [25][1640/11272] Time 0.790 (0.824) Data 0.002 (0.003) Loss 2.3481 (2.5885) Prec@1 44.375 (37.100) Prec@5 72.500 (67.848) Epoch: [25][1650/11272] Time 0.753 (0.824) Data 0.002 (0.003) Loss 2.5160 (2.5883) Prec@1 40.625 (37.107) Prec@5 68.125 (67.855) Epoch: [25][1660/11272] Time 0.877 (0.824) Data 0.002 (0.003) Loss 2.6791 (2.5880) Prec@1 35.625 (37.112) Prec@5 65.000 (67.857) Epoch: [25][1670/11272] Time 0.878 (0.824) Data 0.001 (0.003) Loss 2.4734 (2.5881) Prec@1 35.000 (37.102) Prec@5 65.625 (67.854) Epoch: [25][1680/11272] Time 0.757 (0.824) Data 0.002 (0.003) Loss 2.4181 (2.5883) Prec@1 35.000 (37.101) Prec@5 70.000 (67.847) Epoch: [25][1690/11272] Time 0.774 (0.824) Data 0.002 (0.003) Loss 2.5262 (2.5882) Prec@1 40.000 (37.110) Prec@5 67.500 (67.855) Epoch: [25][1700/11272] Time 0.880 (0.824) Data 0.002 (0.003) Loss 2.3468 (2.5877) Prec@1 40.000 (37.113) Prec@5 71.250 (67.869) Epoch: [25][1710/11272] Time 0.867 (0.824) Data 0.002 (0.003) Loss 2.7253 (2.5873) Prec@1 35.625 (37.119) Prec@5 65.625 (67.877) Epoch: [25][1720/11272] Time 0.767 (0.824) Data 0.002 (0.003) Loss 2.6721 (2.5873) Prec@1 33.750 (37.109) Prec@5 66.250 (67.876) Epoch: [25][1730/11272] Time 0.792 (0.824) Data 0.002 (0.003) Loss 2.6756 (2.5871) Prec@1 36.250 (37.115) Prec@5 63.125 (67.878) Epoch: [25][1740/11272] Time 0.877 (0.824) Data 0.002 (0.003) Loss 2.5372 (2.5872) Prec@1 35.000 (37.110) Prec@5 67.500 (67.878) Epoch: [25][1750/11272] Time 0.900 (0.824) Data 0.002 (0.003) Loss 2.7264 (2.5870) Prec@1 35.000 (37.110) Prec@5 64.375 (67.883) Epoch: [25][1760/11272] Time 0.766 (0.824) Data 0.002 (0.003) Loss 2.5690 (2.5872) Prec@1 36.875 (37.106) Prec@5 70.000 (67.879) Epoch: [25][1770/11272] Time 0.821 (0.824) Data 0.001 (0.003) Loss 2.6124 (2.5871) Prec@1 35.625 (37.113) Prec@5 66.875 (67.884) Epoch: [25][1780/11272] Time 0.910 (0.824) Data 0.002 (0.003) Loss 2.5480 (2.5871) Prec@1 43.125 (37.119) Prec@5 65.625 (67.873) Epoch: [25][1790/11272] Time 0.752 (0.824) Data 0.002 (0.003) Loss 2.3804 (2.5867) Prec@1 41.250 (37.125) Prec@5 74.375 (67.875) Epoch: [25][1800/11272] Time 0.762 (0.824) Data 0.002 (0.003) Loss 2.4559 (2.5870) Prec@1 41.250 (37.129) Prec@5 67.500 (67.868) Epoch: [25][1810/11272] Time 0.915 (0.824) Data 0.002 (0.003) Loss 2.3844 (2.5869) Prec@1 38.750 (37.135) Prec@5 71.250 (67.864) Epoch: [25][1820/11272] Time 0.842 (0.824) Data 0.002 (0.003) Loss 2.5361 (2.5860) Prec@1 36.875 (37.155) Prec@5 70.000 (67.881) Epoch: [25][1830/11272] Time 0.756 (0.824) Data 0.001 (0.003) Loss 2.5734 (2.5861) Prec@1 35.000 (37.154) Prec@5 68.125 (67.884) Epoch: [25][1840/11272] Time 0.751 (0.824) Data 0.002 (0.003) Loss 2.5709 (2.5863) Prec@1 34.375 (37.150) Prec@5 69.375 (67.873) Epoch: [25][1850/11272] Time 0.851 (0.824) Data 0.002 (0.003) Loss 2.5822 (2.5863) Prec@1 33.750 (37.150) Prec@5 70.000 (67.874) Epoch: [25][1860/11272] Time 0.854 (0.824) Data 0.002 (0.003) Loss 2.8071 (2.5865) Prec@1 36.250 (37.139) Prec@5 66.250 (67.874) Epoch: [25][1870/11272] Time 0.760 (0.824) Data 0.002 (0.003) Loss 2.3858 (2.5860) Prec@1 37.500 (37.147) Prec@5 74.375 (67.889) Epoch: [25][1880/11272] Time 0.791 (0.824) Data 0.002 (0.003) Loss 2.4575 (2.5859) Prec@1 39.375 (37.150) Prec@5 72.500 (67.891) Epoch: [25][1890/11272] Time 0.875 (0.824) Data 0.002 (0.003) Loss 2.4396 (2.5854) Prec@1 37.500 (37.155) Prec@5 70.000 (67.897) Epoch: [25][1900/11272] Time 0.767 (0.824) Data 0.003 (0.003) Loss 2.5836 (2.5855) Prec@1 38.125 (37.156) Prec@5 65.625 (67.893) Epoch: [25][1910/11272] Time 0.790 (0.824) Data 0.002 (0.003) Loss 2.8780 (2.5860) Prec@1 33.125 (37.152) Prec@5 64.375 (67.880) Epoch: [25][1920/11272] Time 0.835 (0.824) Data 0.001 (0.003) Loss 2.4131 (2.5861) Prec@1 44.375 (37.151) Prec@5 71.875 (67.882) Epoch: [25][1930/11272] Time 0.921 (0.824) Data 0.002 (0.003) Loss 2.5151 (2.5859) Prec@1 38.125 (37.152) Prec@5 71.875 (67.888) Epoch: [25][1940/11272] Time 0.755 (0.824) Data 0.002 (0.003) Loss 2.5185 (2.5864) Prec@1 40.625 (37.143) Prec@5 67.500 (67.879) Epoch: [25][1950/11272] Time 0.766 (0.824) Data 0.002 (0.003) Loss 2.6148 (2.5865) Prec@1 40.625 (37.140) Prec@5 68.125 (67.877) Epoch: [25][1960/11272] Time 0.863 (0.824) Data 0.002 (0.003) Loss 2.3482 (2.5864) Prec@1 40.625 (37.139) Prec@5 76.250 (67.877) Epoch: [25][1970/11272] Time 0.872 (0.824) Data 0.002 (0.003) Loss 2.4637 (2.5863) Prec@1 36.250 (37.143) Prec@5 70.000 (67.876) Epoch: [25][1980/11272] Time 0.760 (0.824) Data 0.002 (0.003) Loss 2.4354 (2.5864) Prec@1 41.250 (37.140) Prec@5 71.250 (67.873) Epoch: [25][1990/11272] Time 0.729 (0.824) Data 0.001 (0.003) Loss 2.6230 (2.5866) Prec@1 37.500 (37.136) Prec@5 66.875 (67.868) Epoch: [25][2000/11272] Time 0.883 (0.824) Data 0.002 (0.003) Loss 2.3462 (2.5862) Prec@1 42.500 (37.136) Prec@5 70.625 (67.880) Epoch: [25][2010/11272] Time 0.857 (0.824) Data 0.001 (0.003) Loss 2.5070 (2.5866) Prec@1 37.500 (37.134) Prec@5 65.625 (67.871) Epoch: [25][2020/11272] Time 0.758 (0.824) Data 0.002 (0.003) Loss 2.4336 (2.5864) Prec@1 42.500 (37.143) Prec@5 73.125 (67.878) Epoch: [25][2030/11272] Time 0.824 (0.824) Data 0.001 (0.003) Loss 2.6368 (2.5865) Prec@1 35.000 (37.136) Prec@5 70.625 (67.882) Epoch: [25][2040/11272] Time 0.901 (0.824) Data 0.002 (0.003) Loss 2.2894 (2.5865) Prec@1 40.000 (37.127) Prec@5 70.625 (67.878) Epoch: [25][2050/11272] Time 0.720 (0.824) Data 0.001 (0.003) Loss 2.8324 (2.5865) Prec@1 31.875 (37.126) Prec@5 65.000 (67.879) Epoch: [25][2060/11272] Time 0.739 (0.823) Data 0.001 (0.003) Loss 2.6292 (2.5864) Prec@1 40.625 (37.135) Prec@5 68.125 (67.876) Epoch: [25][2070/11272] Time 0.847 (0.823) Data 0.002 (0.003) Loss 2.8954 (2.5870) Prec@1 38.125 (37.132) Prec@5 66.875 (67.867) Epoch: [25][2080/11272] Time 0.869 (0.823) Data 0.002 (0.003) Loss 2.4819 (2.5865) Prec@1 36.250 (37.140) Prec@5 66.875 (67.870) Epoch: [25][2090/11272] Time 0.772 (0.823) Data 0.002 (0.003) Loss 2.7135 (2.5864) Prec@1 35.000 (37.147) Prec@5 65.000 (67.877) Epoch: [25][2100/11272] Time 0.761 (0.823) Data 0.002 (0.003) Loss 2.8975 (2.5862) Prec@1 34.375 (37.152) Prec@5 61.875 (67.885) Epoch: [25][2110/11272] Time 0.841 (0.823) Data 0.001 (0.003) Loss 2.6708 (2.5863) Prec@1 35.625 (37.148) Prec@5 64.375 (67.880) Epoch: [25][2120/11272] Time 0.852 (0.823) Data 0.002 (0.003) Loss 2.9247 (2.5865) Prec@1 29.375 (37.145) Prec@5 65.000 (67.877) Epoch: [25][2130/11272] Time 0.735 (0.823) Data 0.001 (0.003) Loss 2.8192 (2.5866) Prec@1 30.000 (37.146) Prec@5 64.375 (67.877) Epoch: [25][2140/11272] Time 0.732 (0.823) Data 0.001 (0.003) Loss 2.5547 (2.5866) Prec@1 38.750 (37.146) Prec@5 69.375 (67.877) Epoch: [25][2150/11272] Time 0.857 (0.823) Data 0.002 (0.003) Loss 2.4907 (2.5870) Prec@1 38.125 (37.148) Prec@5 67.500 (67.867) Epoch: [25][2160/11272] Time 0.754 (0.823) Data 0.004 (0.003) Loss 2.6503 (2.5872) Prec@1 38.750 (37.140) Prec@5 65.625 (67.869) Epoch: [25][2170/11272] Time 0.758 (0.823) Data 0.002 (0.003) Loss 2.5980 (2.5874) Prec@1 35.625 (37.136) Prec@5 71.875 (67.862) Epoch: [25][2180/11272] Time 0.881 (0.823) Data 0.002 (0.003) Loss 2.5705 (2.5874) Prec@1 36.250 (37.132) Prec@5 64.375 (67.860) Epoch: [25][2190/11272] Time 0.865 (0.823) Data 0.002 (0.003) Loss 2.3049 (2.5871) Prec@1 38.750 (37.143) Prec@5 75.000 (67.868) Epoch: [25][2200/11272] Time 0.730 (0.823) Data 0.002 (0.003) Loss 2.6290 (2.5868) Prec@1 35.000 (37.145) Prec@5 66.250 (67.873) Epoch: [25][2210/11272] Time 0.765 (0.823) Data 0.002 (0.003) Loss 2.5958 (2.5872) Prec@1 40.625 (37.144) Prec@5 69.375 (67.864) Epoch: [25][2220/11272] Time 0.883 (0.823) Data 0.002 (0.003) Loss 2.5869 (2.5871) Prec@1 34.375 (37.145) Prec@5 70.625 (67.871) Epoch: [25][2230/11272] Time 0.863 (0.823) Data 0.002 (0.003) Loss 2.7241 (2.5873) Prec@1 36.250 (37.139) Prec@5 65.625 (67.873) Epoch: [25][2240/11272] Time 0.780 (0.823) Data 0.002 (0.003) Loss 2.5377 (2.5874) Prec@1 36.250 (37.131) Prec@5 68.125 (67.868) Epoch: [25][2250/11272] Time 0.739 (0.823) Data 0.001 (0.003) Loss 2.8002 (2.5877) Prec@1 30.625 (37.124) Prec@5 64.375 (67.857) Epoch: [25][2260/11272] Time 0.854 (0.823) Data 0.002 (0.003) Loss 2.3842 (2.5873) Prec@1 43.750 (37.129) Prec@5 69.375 (67.863) Epoch: [25][2270/11272] Time 0.867 (0.823) Data 0.002 (0.003) Loss 2.3007 (2.5876) Prec@1 41.250 (37.116) Prec@5 75.000 (67.862) Epoch: [25][2280/11272] Time 0.749 (0.823) Data 0.001 (0.003) Loss 2.4816 (2.5881) Prec@1 40.000 (37.108) Prec@5 67.500 (67.854) Epoch: [25][2290/11272] Time 0.794 (0.823) Data 0.001 (0.003) Loss 2.7725 (2.5882) Prec@1 35.000 (37.106) Prec@5 62.500 (67.849) Epoch: [25][2300/11272] Time 0.859 (0.823) Data 0.002 (0.003) Loss 2.3917 (2.5882) Prec@1 36.250 (37.107) Prec@5 70.625 (67.852) Epoch: [25][2310/11272] Time 0.738 (0.823) Data 0.002 (0.003) Loss 2.7415 (2.5883) Prec@1 36.875 (37.105) Prec@5 69.375 (67.852) Epoch: [25][2320/11272] Time 0.770 (0.823) Data 0.002 (0.003) Loss 2.6466 (2.5882) Prec@1 35.625 (37.104) Prec@5 66.875 (67.856) Epoch: [25][2330/11272] Time 0.898 (0.823) Data 0.002 (0.003) Loss 2.5738 (2.5883) Prec@1 33.125 (37.102) Prec@5 72.500 (67.852) Epoch: [25][2340/11272] Time 0.880 (0.823) Data 0.002 (0.003) Loss 2.5338 (2.5883) Prec@1 39.375 (37.102) Prec@5 70.625 (67.859) Epoch: [25][2350/11272] Time 0.764 (0.823) Data 0.002 (0.003) Loss 2.5063 (2.5884) Prec@1 40.000 (37.096) Prec@5 67.500 (67.858) Epoch: [25][2360/11272] Time 0.778 (0.823) Data 0.002 (0.003) Loss 2.2428 (2.5885) Prec@1 45.625 (37.097) Prec@5 76.875 (67.859) Epoch: [25][2370/11272] Time 0.864 (0.823) Data 0.002 (0.003) Loss 2.5116 (2.5885) Prec@1 39.375 (37.097) Prec@5 70.625 (67.860) Epoch: [25][2380/11272] Time 0.877 (0.823) Data 0.002 (0.003) Loss 2.6328 (2.5887) Prec@1 37.500 (37.096) Prec@5 66.250 (67.857) Epoch: [25][2390/11272] Time 0.796 (0.823) Data 0.002 (0.003) Loss 2.4180 (2.5886) Prec@1 36.875 (37.100) Prec@5 70.625 (67.857) Epoch: [25][2400/11272] Time 0.727 (0.823) Data 0.002 (0.003) Loss 2.5160 (2.5888) Prec@1 39.375 (37.095) Prec@5 71.875 (67.852) Epoch: [25][2410/11272] Time 0.857 (0.823) Data 0.001 (0.003) Loss 2.7035 (2.5890) Prec@1 30.625 (37.092) Prec@5 63.750 (67.841) Epoch: [25][2420/11272] Time 0.863 (0.823) Data 0.002 (0.003) Loss 2.5573 (2.5891) Prec@1 31.875 (37.084) Prec@5 66.875 (67.844) Epoch: [25][2430/11272] Time 0.740 (0.823) Data 0.001 (0.003) Loss 2.4915 (2.5891) Prec@1 41.250 (37.084) Prec@5 71.875 (67.843) Epoch: [25][2440/11272] Time 0.862 (0.823) Data 0.002 (0.003) Loss 2.5666 (2.5890) Prec@1 41.250 (37.086) Prec@5 70.625 (67.846) Epoch: [25][2450/11272] Time 0.864 (0.823) Data 0.002 (0.003) Loss 2.6422 (2.5888) Prec@1 33.125 (37.088) Prec@5 63.125 (67.852) Epoch: [25][2460/11272] Time 0.769 (0.823) Data 0.002 (0.003) Loss 2.5583 (2.5887) Prec@1 36.250 (37.085) Prec@5 66.250 (67.857) Epoch: [25][2470/11272] Time 0.727 (0.823) Data 0.001 (0.003) Loss 2.5359 (2.5889) Prec@1 38.125 (37.085) Prec@5 66.875 (67.850) Epoch: [25][2480/11272] Time 0.899 (0.823) Data 0.002 (0.003) Loss 2.4537 (2.5889) Prec@1 35.000 (37.082) Prec@5 70.000 (67.845) Epoch: [25][2490/11272] Time 0.895 (0.823) Data 0.002 (0.003) Loss 2.6154 (2.5892) Prec@1 42.500 (37.076) Prec@5 71.250 (67.840) Epoch: [25][2500/11272] Time 0.747 (0.823) Data 0.002 (0.003) Loss 2.8433 (2.5895) Prec@1 31.875 (37.073) Prec@5 65.625 (67.836) Epoch: [25][2510/11272] Time 0.781 (0.823) Data 0.002 (0.003) Loss 2.7166 (2.5891) Prec@1 30.625 (37.082) Prec@5 66.250 (67.842) Epoch: [25][2520/11272] Time 0.853 (0.823) Data 0.002 (0.003) Loss 2.6891 (2.5892) Prec@1 37.500 (37.084) Prec@5 66.250 (67.840) Epoch: [25][2530/11272] Time 1.011 (0.823) Data 0.002 (0.003) Loss 2.7103 (2.5893) Prec@1 30.625 (37.076) Prec@5 66.875 (67.841) Epoch: [25][2540/11272] Time 0.795 (0.823) Data 0.002 (0.003) Loss 2.4546 (2.5894) Prec@1 36.875 (37.069) Prec@5 71.250 (67.841) Epoch: [25][2550/11272] Time 0.741 (0.823) Data 0.002 (0.003) Loss 2.5748 (2.5897) Prec@1 36.250 (37.061) Prec@5 68.125 (67.838) Epoch: [25][2560/11272] Time 0.912 (0.823) Data 0.002 (0.003) Loss 2.3824 (2.5898) Prec@1 43.750 (37.062) Prec@5 67.500 (67.838) Epoch: [25][2570/11272] Time 0.777 (0.823) Data 0.002 (0.003) Loss 2.6903 (2.5898) Prec@1 31.250 (37.060) Prec@5 66.875 (67.837) Epoch: [25][2580/11272] Time 0.745 (0.823) Data 0.002 (0.003) Loss 2.7937 (2.5902) Prec@1 33.750 (37.057) Prec@5 64.375 (67.833) Epoch: [25][2590/11272] Time 0.912 (0.823) Data 0.002 (0.003) Loss 2.7010 (2.5900) Prec@1 35.625 (37.064) Prec@5 63.125 (67.835) Epoch: [25][2600/11272] Time 0.874 (0.823) Data 0.002 (0.003) Loss 2.4580 (2.5898) Prec@1 37.500 (37.066) Prec@5 66.250 (67.835) Epoch: [25][2610/11272] Time 0.724 (0.823) Data 0.001 (0.003) Loss 2.5679 (2.5896) Prec@1 36.875 (37.067) Prec@5 67.500 (67.839) Epoch: [25][2620/11272] Time 0.735 (0.823) Data 0.001 (0.003) Loss 2.7051 (2.5896) Prec@1 35.000 (37.070) Prec@5 64.375 (67.842) Epoch: [25][2630/11272] Time 0.894 (0.823) Data 0.002 (0.003) Loss 2.4988 (2.5892) Prec@1 41.250 (37.077) Prec@5 73.125 (67.852) Epoch: [25][2640/11272] Time 0.901 (0.823) Data 0.002 (0.003) Loss 2.7281 (2.5889) Prec@1 36.250 (37.086) Prec@5 64.375 (67.859) Epoch: [25][2650/11272] Time 0.732 (0.823) Data 0.002 (0.003) Loss 3.0253 (2.5891) Prec@1 31.875 (37.088) Prec@5 56.875 (67.854) Epoch: [25][2660/11272] Time 0.780 (0.823) Data 0.002 (0.003) Loss 2.3162 (2.5891) Prec@1 41.250 (37.086) Prec@5 75.000 (67.854) Epoch: [25][2670/11272] Time 0.878 (0.823) Data 0.002 (0.002) Loss 2.2900 (2.5887) Prec@1 45.625 (37.094) Prec@5 76.250 (67.864) Epoch: [25][2680/11272] Time 0.865 (0.823) Data 0.002 (0.002) Loss 2.5361 (2.5889) Prec@1 36.875 (37.088) Prec@5 69.375 (67.864) Epoch: [25][2690/11272] Time 0.743 (0.823) Data 0.002 (0.002) Loss 2.6714 (2.5892) Prec@1 30.625 (37.086) Prec@5 66.250 (67.859) Epoch: [25][2700/11272] Time 0.889 (0.823) Data 0.001 (0.002) Loss 2.6424 (2.5893) Prec@1 31.250 (37.086) Prec@5 65.000 (67.858) Epoch: [25][2710/11272] Time 0.909 (0.823) Data 0.002 (0.002) Loss 2.4549 (2.5892) Prec@1 39.375 (37.087) Prec@5 70.625 (67.856) Epoch: [25][2720/11272] Time 0.769 (0.823) Data 0.002 (0.002) Loss 2.3938 (2.5892) Prec@1 47.500 (37.091) Prec@5 72.500 (67.857) Epoch: [25][2730/11272] Time 0.783 (0.823) Data 0.001 (0.002) Loss 2.5585 (2.5893) Prec@1 40.000 (37.087) Prec@5 67.500 (67.855) Epoch: [25][2740/11272] Time 0.897 (0.823) Data 0.002 (0.002) Loss 2.3820 (2.5891) Prec@1 33.750 (37.088) Prec@5 75.000 (67.859) Epoch: [25][2750/11272] Time 0.947 (0.823) Data 0.002 (0.002) Loss 2.7710 (2.5894) Prec@1 35.625 (37.087) Prec@5 61.250 (67.851) Epoch: [25][2760/11272] Time 0.746 (0.823) Data 0.002 (0.002) Loss 2.7635 (2.5894) Prec@1 32.500 (37.085) Prec@5 66.250 (67.855) Epoch: [25][2770/11272] Time 0.754 (0.823) Data 0.001 (0.002) Loss 2.3444 (2.5893) Prec@1 41.250 (37.087) Prec@5 75.000 (67.855) Epoch: [25][2780/11272] Time 0.890 (0.823) Data 0.002 (0.002) Loss 2.3883 (2.5891) Prec@1 40.000 (37.084) Prec@5 71.875 (67.860) Epoch: [25][2790/11272] Time 0.942 (0.823) Data 0.002 (0.002) Loss 2.6698 (2.5889) Prec@1 34.375 (37.091) Prec@5 64.375 (67.857) Epoch: [25][2800/11272] Time 0.757 (0.823) Data 0.002 (0.002) Loss 2.4151 (2.5886) Prec@1 41.875 (37.096) Prec@5 68.125 (67.865) Epoch: [25][2810/11272] Time 0.780 (0.823) Data 0.002 (0.002) Loss 2.5612 (2.5887) Prec@1 38.125 (37.092) Prec@5 70.000 (67.863) Epoch: [25][2820/11272] Time 0.860 (0.823) Data 0.003 (0.002) Loss 2.4919 (2.5886) Prec@1 35.625 (37.092) Prec@5 67.500 (67.860) Epoch: [25][2830/11272] Time 0.798 (0.823) Data 0.003 (0.002) Loss 2.8401 (2.5887) Prec@1 30.625 (37.089) Prec@5 61.250 (67.854) Epoch: [25][2840/11272] Time 0.763 (0.823) Data 0.002 (0.002) Loss 2.4667 (2.5889) Prec@1 39.375 (37.090) Prec@5 70.625 (67.852) Epoch: [25][2850/11272] Time 0.888 (0.823) Data 0.002 (0.002) Loss 2.6928 (2.5890) Prec@1 31.875 (37.084) Prec@5 70.625 (67.847) Epoch: [25][2860/11272] Time 0.889 (0.823) Data 0.002 (0.002) Loss 2.5138 (2.5886) Prec@1 36.250 (37.092) Prec@5 71.250 (67.853) Epoch: [25][2870/11272] Time 0.764 (0.823) Data 0.001 (0.002) Loss 2.5410 (2.5887) Prec@1 34.375 (37.096) Prec@5 66.875 (67.852) Epoch: [25][2880/11272] Time 0.772 (0.823) Data 0.002 (0.002) Loss 2.5454 (2.5887) Prec@1 42.500 (37.089) Prec@5 70.000 (67.848) Epoch: [25][2890/11272] Time 0.870 (0.823) Data 0.001 (0.002) Loss 2.6128 (2.5889) Prec@1 35.625 (37.088) Prec@5 63.750 (67.840) Epoch: [25][2900/11272] Time 0.873 (0.823) Data 0.002 (0.002) Loss 2.8298 (2.5892) Prec@1 33.750 (37.085) Prec@5 58.750 (67.827) Epoch: [25][2910/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.7138 (2.5896) Prec@1 35.625 (37.080) Prec@5 67.500 (67.824) Epoch: [25][2920/11272] Time 0.746 (0.822) Data 0.001 (0.002) Loss 2.5868 (2.5896) Prec@1 35.000 (37.076) Prec@5 66.875 (67.824) Epoch: [25][2930/11272] Time 0.884 (0.822) Data 0.002 (0.002) Loss 2.5956 (2.5897) Prec@1 32.500 (37.075) Prec@5 68.750 (67.822) Epoch: [25][2940/11272] Time 0.851 (0.822) Data 0.002 (0.002) Loss 2.6607 (2.5898) Prec@1 35.000 (37.071) Prec@5 65.625 (67.823) Epoch: [25][2950/11272] Time 0.734 (0.822) Data 0.002 (0.002) Loss 2.6276 (2.5899) Prec@1 32.500 (37.068) Prec@5 68.125 (67.822) Epoch: [25][2960/11272] Time 0.862 (0.822) Data 0.002 (0.002) Loss 2.5422 (2.5898) Prec@1 34.375 (37.068) Prec@5 68.125 (67.821) Epoch: [25][2970/11272] Time 0.866 (0.822) Data 0.002 (0.002) Loss 2.7233 (2.5896) Prec@1 31.875 (37.073) Prec@5 67.500 (67.829) Epoch: [25][2980/11272] Time 0.784 (0.822) Data 0.002 (0.002) Loss 2.4010 (2.5894) Prec@1 42.500 (37.077) Prec@5 71.250 (67.832) Epoch: [25][2990/11272] Time 0.790 (0.822) Data 0.002 (0.002) Loss 2.4976 (2.5892) Prec@1 40.625 (37.082) Prec@5 70.625 (67.836) Epoch: [25][3000/11272] Time 0.846 (0.822) Data 0.003 (0.002) Loss 2.4712 (2.5891) Prec@1 36.875 (37.081) Prec@5 69.375 (67.838) Epoch: [25][3010/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.6400 (2.5890) Prec@1 34.375 (37.074) Prec@5 65.000 (67.841) Epoch: [25][3020/11272] Time 0.758 (0.822) Data 0.001 (0.002) Loss 2.6792 (2.5890) Prec@1 32.500 (37.074) Prec@5 64.375 (67.842) Epoch: [25][3030/11272] Time 0.742 (0.822) Data 0.001 (0.002) Loss 2.6479 (2.5892) Prec@1 31.875 (37.064) Prec@5 67.500 (67.837) Epoch: [25][3040/11272] Time 0.928 (0.822) Data 0.002 (0.002) Loss 2.5042 (2.5892) Prec@1 35.625 (37.065) Prec@5 72.500 (67.835) Epoch: [25][3050/11272] Time 0.895 (0.822) Data 0.002 (0.002) Loss 2.4455 (2.5892) Prec@1 36.875 (37.061) Prec@5 74.375 (67.836) Epoch: [25][3060/11272] Time 0.770 (0.822) Data 0.001 (0.002) Loss 2.7194 (2.5894) Prec@1 36.250 (37.058) Prec@5 68.125 (67.834) Epoch: [25][3070/11272] Time 0.737 (0.822) Data 0.001 (0.002) Loss 2.7355 (2.5894) Prec@1 31.250 (37.057) Prec@5 66.875 (67.833) Epoch: [25][3080/11272] Time 0.853 (0.822) Data 0.001 (0.002) Loss 2.8102 (2.5895) Prec@1 32.500 (37.052) Prec@5 65.625 (67.831) Epoch: [25][3090/11272] Time 0.764 (0.822) Data 0.003 (0.002) Loss 2.7497 (2.5896) Prec@1 35.625 (37.050) Prec@5 65.000 (67.827) Epoch: [25][3100/11272] Time 0.740 (0.822) Data 0.002 (0.002) Loss 2.6028 (2.5897) Prec@1 31.875 (37.046) Prec@5 70.000 (67.823) Epoch: [25][3110/11272] Time 0.881 (0.822) Data 0.002 (0.002) Loss 2.3618 (2.5896) Prec@1 45.000 (37.048) Prec@5 75.625 (67.826) Epoch: [25][3120/11272] Time 0.885 (0.822) Data 0.002 (0.002) Loss 2.6758 (2.5898) Prec@1 35.000 (37.045) Prec@5 65.625 (67.822) Epoch: [25][3130/11272] Time 0.770 (0.822) Data 0.002 (0.002) Loss 2.4251 (2.5897) Prec@1 40.000 (37.045) Prec@5 70.625 (67.820) Epoch: [25][3140/11272] Time 0.732 (0.822) Data 0.001 (0.002) Loss 2.6511 (2.5900) Prec@1 31.875 (37.039) Prec@5 68.750 (67.817) Epoch: [25][3150/11272] Time 0.855 (0.822) Data 0.001 (0.002) Loss 2.8450 (2.5902) Prec@1 31.875 (37.033) Prec@5 65.625 (67.816) Epoch: [25][3160/11272] Time 0.903 (0.822) Data 0.002 (0.002) Loss 2.6464 (2.5901) Prec@1 35.625 (37.034) Prec@5 66.875 (67.814) Epoch: [25][3170/11272] Time 0.750 (0.822) Data 0.002 (0.002) Loss 2.7755 (2.5900) Prec@1 35.000 (37.035) Prec@5 66.250 (67.817) Epoch: [25][3180/11272] Time 0.786 (0.822) Data 0.002 (0.002) Loss 2.6681 (2.5901) Prec@1 36.250 (37.030) Prec@5 64.375 (67.818) Epoch: [25][3190/11272] Time 0.856 (0.822) Data 0.002 (0.002) Loss 2.9031 (2.5903) Prec@1 33.125 (37.026) Prec@5 63.125 (67.816) Epoch: [25][3200/11272] Time 0.902 (0.822) Data 0.002 (0.002) Loss 2.5345 (2.5901) Prec@1 35.000 (37.028) Prec@5 69.375 (67.819) Epoch: [25][3210/11272] Time 0.719 (0.822) Data 0.003 (0.002) Loss 2.2836 (2.5899) Prec@1 41.875 (37.033) Prec@5 72.500 (67.819) Epoch: [25][3220/11272] Time 0.928 (0.822) Data 0.002 (0.002) Loss 2.4768 (2.5900) Prec@1 38.750 (37.032) Prec@5 72.500 (67.818) Epoch: [25][3230/11272] Time 0.892 (0.822) Data 0.001 (0.002) Loss 2.4932 (2.5898) Prec@1 38.750 (37.035) Prec@5 67.500 (67.822) Epoch: [25][3240/11272] Time 0.767 (0.822) Data 0.001 (0.002) Loss 2.6597 (2.5900) Prec@1 35.000 (37.029) Prec@5 64.375 (67.813) Epoch: [25][3250/11272] Time 0.741 (0.822) Data 0.002 (0.002) Loss 2.6496 (2.5901) Prec@1 36.250 (37.030) Prec@5 66.250 (67.812) Epoch: [25][3260/11272] Time 0.870 (0.822) Data 0.002 (0.002) Loss 2.4913 (2.5902) Prec@1 33.750 (37.025) Prec@5 71.250 (67.813) Epoch: [25][3270/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.5139 (2.5902) Prec@1 38.125 (37.022) Prec@5 71.250 (67.811) Epoch: [25][3280/11272] Time 0.764 (0.822) Data 0.002 (0.002) Loss 2.4624 (2.5902) Prec@1 38.750 (37.024) Prec@5 70.625 (67.809) Epoch: [25][3290/11272] Time 0.751 (0.822) Data 0.001 (0.002) Loss 2.3244 (2.5901) Prec@1 41.875 (37.029) Prec@5 74.375 (67.807) Epoch: [25][3300/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.3950 (2.5900) Prec@1 43.125 (37.035) Prec@5 70.000 (67.810) Epoch: [25][3310/11272] Time 0.882 (0.822) Data 0.001 (0.002) Loss 2.5630 (2.5901) Prec@1 36.875 (37.036) Prec@5 68.125 (67.811) Epoch: [25][3320/11272] Time 0.727 (0.822) Data 0.001 (0.002) Loss 2.7845 (2.5903) Prec@1 31.875 (37.030) Prec@5 63.750 (67.807) Epoch: [25][3330/11272] Time 0.729 (0.822) Data 0.001 (0.002) Loss 2.6671 (2.5902) Prec@1 40.000 (37.032) Prec@5 63.125 (67.808) Epoch: [25][3340/11272] Time 0.888 (0.822) Data 0.002 (0.002) Loss 2.7724 (2.5905) Prec@1 34.375 (37.026) Prec@5 66.250 (67.800) Epoch: [25][3350/11272] Time 0.871 (0.822) Data 0.002 (0.002) Loss 2.5327 (2.5905) Prec@1 37.500 (37.026) Prec@5 74.375 (67.804) Epoch: [25][3360/11272] Time 0.802 (0.822) Data 0.002 (0.002) Loss 2.7349 (2.5909) Prec@1 35.625 (37.021) Prec@5 65.000 (67.797) Epoch: [25][3370/11272] Time 0.895 (0.822) Data 0.001 (0.002) Loss 3.0916 (2.5911) Prec@1 28.125 (37.019) Prec@5 58.125 (67.796) Epoch: [25][3380/11272] Time 0.878 (0.822) Data 0.002 (0.002) Loss 2.5652 (2.5911) Prec@1 36.875 (37.017) Prec@5 70.625 (67.795) Epoch: [25][3390/11272] Time 0.816 (0.822) Data 0.002 (0.002) Loss 2.5311 (2.5912) Prec@1 37.500 (37.016) Prec@5 73.750 (67.797) Epoch: [25][3400/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.6762 (2.5912) Prec@1 35.625 (37.013) Prec@5 64.375 (67.796) Epoch: [25][3410/11272] Time 0.894 (0.822) Data 0.001 (0.002) Loss 2.5731 (2.5915) Prec@1 38.125 (37.005) Prec@5 68.125 (67.794) Epoch: [25][3420/11272] Time 0.894 (0.822) Data 0.002 (0.002) Loss 2.4181 (2.5916) Prec@1 43.750 (37.006) Prec@5 68.125 (67.790) Epoch: [25][3430/11272] Time 0.780 (0.822) Data 0.001 (0.002) Loss 2.7192 (2.5917) Prec@1 36.875 (37.001) Prec@5 65.625 (67.787) Epoch: [25][3440/11272] Time 0.786 (0.822) Data 0.001 (0.002) Loss 2.4193 (2.5916) Prec@1 37.500 (37.006) Prec@5 68.125 (67.787) Epoch: [25][3450/11272] Time 0.861 (0.822) Data 0.001 (0.002) Loss 2.5416 (2.5917) Prec@1 36.250 (37.002) Prec@5 65.000 (67.781) Epoch: [25][3460/11272] Time 0.836 (0.822) Data 0.001 (0.002) Loss 2.8500 (2.5918) Prec@1 35.000 (37.001) Prec@5 61.250 (67.783) Epoch: [25][3470/11272] Time 0.724 (0.822) Data 0.001 (0.002) Loss 2.5544 (2.5917) Prec@1 36.875 (37.002) Prec@5 71.875 (67.788) Epoch: [25][3480/11272] Time 0.774 (0.822) Data 0.001 (0.002) Loss 2.5084 (2.5915) Prec@1 40.000 (37.005) Prec@5 70.000 (67.794) Epoch: [25][3490/11272] Time 0.894 (0.822) Data 0.001 (0.002) Loss 2.5671 (2.5916) Prec@1 40.625 (36.999) Prec@5 72.500 (67.789) Epoch: [25][3500/11272] Time 0.782 (0.822) Data 0.001 (0.002) Loss 2.3315 (2.5913) Prec@1 43.750 (37.002) Prec@5 73.125 (67.798) Epoch: [25][3510/11272] Time 0.760 (0.821) Data 0.001 (0.002) Loss 2.6565 (2.5914) Prec@1 35.000 (36.998) Prec@5 66.250 (67.798) Epoch: [25][3520/11272] Time 0.853 (0.821) Data 0.001 (0.002) Loss 2.6613 (2.5913) Prec@1 38.750 (37.000) Prec@5 68.125 (67.800) Epoch: [25][3530/11272] Time 0.881 (0.821) Data 0.002 (0.002) Loss 2.6617 (2.5913) Prec@1 35.625 (37.000) Prec@5 65.000 (67.797) Epoch: [25][3540/11272] Time 0.766 (0.821) Data 0.002 (0.002) Loss 2.8045 (2.5912) Prec@1 30.000 (37.002) Prec@5 62.500 (67.799) Epoch: [25][3550/11272] Time 0.784 (0.821) Data 0.002 (0.002) Loss 2.7348 (2.5912) Prec@1 38.750 (37.002) Prec@5 66.875 (67.802) Epoch: [25][3560/11272] Time 0.873 (0.821) Data 0.001 (0.002) Loss 2.5910 (2.5910) Prec@1 36.875 (37.004) Prec@5 69.375 (67.804) Epoch: [25][3570/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.4944 (2.5910) Prec@1 40.625 (37.005) Prec@5 68.750 (67.805) Epoch: [25][3580/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.3129 (2.5910) Prec@1 40.625 (37.008) Prec@5 73.125 (67.808) Epoch: [25][3590/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.6283 (2.5910) Prec@1 41.875 (37.009) Prec@5 68.125 (67.809) Epoch: [25][3600/11272] Time 0.883 (0.821) Data 0.002 (0.002) Loss 2.4402 (2.5909) Prec@1 45.000 (37.010) Prec@5 70.000 (67.813) Epoch: [25][3610/11272] Time 0.838 (0.821) Data 0.001 (0.002) Loss 2.5076 (2.5907) Prec@1 43.750 (37.015) Prec@5 68.750 (67.817) Epoch: [25][3620/11272] Time 0.758 (0.821) Data 0.001 (0.002) Loss 2.5432 (2.5908) Prec@1 37.500 (37.010) Prec@5 67.500 (67.817) Epoch: [25][3630/11272] Time 0.831 (0.821) Data 0.001 (0.002) Loss 2.8992 (2.5909) Prec@1 36.250 (37.010) Prec@5 63.125 (67.817) Epoch: [25][3640/11272] Time 0.873 (0.821) Data 0.001 (0.002) Loss 2.3650 (2.5909) Prec@1 42.500 (37.010) Prec@5 69.375 (67.816) Epoch: [25][3650/11272] Time 0.756 (0.821) Data 0.001 (0.002) Loss 2.6224 (2.5911) Prec@1 38.125 (37.001) Prec@5 68.750 (67.815) Epoch: [25][3660/11272] Time 0.742 (0.821) Data 0.002 (0.002) Loss 2.6478 (2.5911) Prec@1 37.500 (37.002) Prec@5 65.625 (67.817) Epoch: [25][3670/11272] Time 0.839 (0.821) Data 0.001 (0.002) Loss 2.7532 (2.5910) Prec@1 36.875 (37.005) Prec@5 61.875 (67.818) Epoch: [25][3680/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.4000 (2.5909) Prec@1 42.500 (37.004) Prec@5 69.375 (67.821) Epoch: [25][3690/11272] Time 0.765 (0.821) Data 0.001 (0.002) Loss 2.8547 (2.5912) Prec@1 34.375 (37.000) Prec@5 57.500 (67.810) Epoch: [25][3700/11272] Time 0.788 (0.821) Data 0.002 (0.002) Loss 2.5689 (2.5913) Prec@1 34.375 (36.997) Prec@5 70.000 (67.808) Epoch: [25][3710/11272] Time 0.879 (0.821) Data 0.001 (0.002) Loss 2.1741 (2.5911) Prec@1 41.875 (36.998) Prec@5 76.875 (67.811) Epoch: [25][3720/11272] Time 0.897 (0.821) Data 0.001 (0.002) Loss 2.7624 (2.5909) Prec@1 39.375 (36.998) Prec@5 62.500 (67.812) Epoch: [25][3730/11272] Time 0.775 (0.821) Data 0.001 (0.002) Loss 2.8602 (2.5910) Prec@1 32.500 (36.996) Prec@5 61.875 (67.810) Epoch: [25][3740/11272] Time 0.806 (0.821) Data 0.001 (0.002) Loss 2.3244 (2.5909) Prec@1 43.125 (36.999) Prec@5 71.250 (67.811) Epoch: [25][3750/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.3662 (2.5909) Prec@1 41.875 (37.001) Prec@5 74.375 (67.812) Epoch: [25][3760/11272] Time 0.771 (0.821) Data 0.003 (0.002) Loss 2.7353 (2.5908) Prec@1 33.125 (36.999) Prec@5 66.250 (67.815) Epoch: [25][3770/11272] Time 0.757 (0.821) Data 0.001 (0.002) Loss 2.9212 (2.5908) Prec@1 31.875 (37.003) Prec@5 61.250 (67.816) Epoch: [25][3780/11272] Time 0.863 (0.821) Data 0.001 (0.002) Loss 2.6728 (2.5909) Prec@1 35.000 (36.999) Prec@5 66.875 (67.812) Epoch: [25][3790/11272] Time 0.910 (0.821) Data 0.002 (0.002) Loss 2.7324 (2.5910) Prec@1 35.625 (37.000) Prec@5 65.625 (67.808) Epoch: [25][3800/11272] Time 0.803 (0.821) Data 0.002 (0.002) Loss 2.8974 (2.5911) Prec@1 31.250 (36.994) Prec@5 65.000 (67.809) Epoch: [25][3810/11272] Time 0.784 (0.821) Data 0.002 (0.002) Loss 2.6845 (2.5912) Prec@1 35.000 (36.994) Prec@5 66.250 (67.807) Epoch: [25][3820/11272] Time 0.820 (0.821) Data 0.001 (0.002) Loss 3.0414 (2.5913) Prec@1 30.000 (36.995) Prec@5 64.375 (67.808) Epoch: [25][3830/11272] Time 0.833 (0.821) Data 0.001 (0.002) Loss 2.7161 (2.5914) Prec@1 35.000 (36.991) Prec@5 66.250 (67.807) Epoch: [25][3840/11272] Time 0.758 (0.821) Data 0.001 (0.002) Loss 2.4332 (2.5913) Prec@1 41.250 (36.996) Prec@5 70.000 (67.806) Epoch: [25][3850/11272] Time 0.754 (0.821) Data 0.002 (0.002) Loss 2.5043 (2.5913) Prec@1 39.375 (36.994) Prec@5 70.000 (67.808) Epoch: [25][3860/11272] Time 0.856 (0.821) Data 0.001 (0.002) Loss 2.6676 (2.5911) Prec@1 35.625 (36.999) Prec@5 66.875 (67.813) Epoch: [25][3870/11272] Time 0.852 (0.821) Data 0.001 (0.002) Loss 2.7731 (2.5912) Prec@1 36.875 (37.001) Prec@5 59.375 (67.808) Epoch: [25][3880/11272] Time 0.763 (0.821) Data 0.003 (0.002) Loss 2.7528 (2.5911) Prec@1 34.375 (37.004) Prec@5 65.000 (67.810) Epoch: [25][3890/11272] Time 0.865 (0.821) Data 0.001 (0.002) Loss 2.6362 (2.5910) Prec@1 37.500 (37.003) Prec@5 64.375 (67.809) Epoch: [25][3900/11272] Time 0.921 (0.821) Data 0.001 (0.002) Loss 2.3868 (2.5909) Prec@1 38.750 (37.004) Prec@5 75.625 (67.811) Epoch: [25][3910/11272] Time 0.733 (0.821) Data 0.001 (0.002) Loss 2.5872 (2.5909) Prec@1 38.750 (37.005) Prec@5 66.875 (67.812) Epoch: [25][3920/11272] Time 0.758 (0.821) Data 0.002 (0.002) Loss 2.3574 (2.5910) Prec@1 41.875 (37.004) Prec@5 74.375 (67.810) Epoch: [25][3930/11272] Time 0.925 (0.821) Data 0.002 (0.002) Loss 2.6481 (2.5909) Prec@1 41.250 (37.008) Prec@5 66.875 (67.811) Epoch: [25][3940/11272] Time 0.899 (0.821) Data 0.001 (0.002) Loss 2.5220 (2.5908) Prec@1 31.250 (37.009) Prec@5 69.375 (67.815) Epoch: [25][3950/11272] Time 0.771 (0.820) Data 0.001 (0.002) Loss 2.6344 (2.5907) Prec@1 33.750 (37.005) Prec@5 65.000 (67.817) Epoch: [25][3960/11272] Time 0.728 (0.820) Data 0.001 (0.002) Loss 2.6217 (2.5907) Prec@1 35.625 (37.007) Prec@5 72.500 (67.817) Epoch: [25][3970/11272] Time 0.866 (0.820) Data 0.001 (0.002) Loss 2.5133 (2.5909) Prec@1 38.750 (37.003) Prec@5 68.125 (67.815) Epoch: [25][3980/11272] Time 0.889 (0.820) Data 0.002 (0.002) Loss 2.5010 (2.5911) Prec@1 39.375 (36.999) Prec@5 70.000 (67.813) Epoch: [25][3990/11272] Time 0.732 (0.820) Data 0.001 (0.002) Loss 2.3292 (2.5910) Prec@1 40.625 (37.002) Prec@5 73.125 (67.814) Epoch: [25][4000/11272] Time 0.757 (0.820) Data 0.002 (0.002) Loss 2.5395 (2.5909) Prec@1 38.125 (37.003) Prec@5 68.125 (67.815) Epoch: [25][4010/11272] Time 0.868 (0.820) Data 0.002 (0.002) Loss 2.5550 (2.5907) Prec@1 35.625 (37.009) Prec@5 69.375 (67.820) Epoch: [25][4020/11272] Time 0.758 (0.820) Data 0.003 (0.002) Loss 2.5870 (2.5906) Prec@1 36.250 (37.010) Prec@5 67.500 (67.820) Epoch: [25][4030/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.5597 (2.5905) Prec@1 33.125 (37.011) Prec@5 68.125 (67.819) Epoch: [25][4040/11272] Time 0.860 (0.820) Data 0.002 (0.002) Loss 2.5450 (2.5906) Prec@1 34.375 (37.009) Prec@5 70.000 (67.816) Epoch: [25][4050/11272] Time 0.866 (0.820) Data 0.002 (0.002) Loss 2.5512 (2.5906) Prec@1 36.250 (37.010) Prec@5 63.125 (67.814) Epoch: [25][4060/11272] Time 0.770 (0.820) Data 0.001 (0.002) Loss 2.7774 (2.5909) Prec@1 30.000 (37.005) Prec@5 62.500 (67.809) Epoch: [25][4070/11272] Time 0.774 (0.820) Data 0.001 (0.002) Loss 2.5912 (2.5911) Prec@1 38.125 (37.001) Prec@5 66.250 (67.809) Epoch: [25][4080/11272] Time 0.872 (0.820) Data 0.001 (0.002) Loss 2.5635 (2.5910) Prec@1 34.375 (36.997) Prec@5 70.625 (67.810) Epoch: [25][4090/11272] Time 0.890 (0.820) Data 0.001 (0.002) Loss 2.6923 (2.5912) Prec@1 41.875 (36.998) Prec@5 63.125 (67.805) Epoch: [25][4100/11272] Time 0.801 (0.820) Data 0.001 (0.002) Loss 2.7508 (2.5914) Prec@1 35.625 (36.995) Prec@5 63.125 (67.803) Epoch: [25][4110/11272] Time 0.787 (0.820) Data 0.001 (0.002) Loss 2.6521 (2.5916) Prec@1 38.125 (36.992) Prec@5 63.750 (67.801) Epoch: [25][4120/11272] Time 0.868 (0.820) Data 0.001 (0.002) Loss 2.5723 (2.5915) Prec@1 34.375 (36.995) Prec@5 68.750 (67.803) Epoch: [25][4130/11272] Time 0.904 (0.820) Data 0.002 (0.002) Loss 2.7346 (2.5917) Prec@1 36.250 (36.991) Prec@5 63.750 (67.798) Epoch: [25][4140/11272] Time 0.781 (0.820) Data 0.002 (0.002) Loss 2.6646 (2.5918) Prec@1 38.750 (36.988) Prec@5 64.375 (67.796) Epoch: [25][4150/11272] Time 0.857 (0.820) Data 0.001 (0.002) Loss 2.7474 (2.5916) Prec@1 32.500 (36.992) Prec@5 67.500 (67.800) Epoch: [25][4160/11272] Time 0.906 (0.820) Data 0.001 (0.002) Loss 2.6052 (2.5918) Prec@1 38.125 (36.989) Prec@5 70.625 (67.795) Epoch: [25][4170/11272] Time 0.742 (0.820) Data 0.001 (0.002) Loss 2.6862 (2.5917) Prec@1 40.000 (36.992) Prec@5 64.375 (67.799) Epoch: [25][4180/11272] Time 0.767 (0.820) Data 0.002 (0.002) Loss 2.5782 (2.5918) Prec@1 38.125 (36.991) Prec@5 67.500 (67.796) Epoch: [25][4190/11272] Time 0.939 (0.820) Data 0.002 (0.002) Loss 2.4487 (2.5920) Prec@1 40.625 (36.992) Prec@5 70.625 (67.797) Epoch: [25][4200/11272] Time 0.868 (0.820) Data 0.001 (0.002) Loss 2.3527 (2.5918) Prec@1 40.625 (36.994) Prec@5 72.500 (67.799) Epoch: [25][4210/11272] Time 0.729 (0.820) Data 0.001 (0.002) Loss 2.5751 (2.5918) Prec@1 36.250 (36.996) Prec@5 70.625 (67.800) Epoch: [25][4220/11272] Time 0.752 (0.820) Data 0.001 (0.002) Loss 2.6461 (2.5918) Prec@1 37.500 (36.998) Prec@5 65.000 (67.801) Epoch: [25][4230/11272] Time 0.836 (0.820) Data 0.002 (0.002) Loss 2.6761 (2.5917) Prec@1 37.500 (36.998) Prec@5 67.500 (67.804) Epoch: [25][4240/11272] Time 0.861 (0.820) Data 0.002 (0.002) Loss 2.5565 (2.5916) Prec@1 35.625 (36.999) Prec@5 70.625 (67.804) Epoch: [25][4250/11272] Time 0.765 (0.820) Data 0.001 (0.002) Loss 2.5148 (2.5915) Prec@1 40.000 (37.004) Prec@5 69.375 (67.805) Epoch: [25][4260/11272] Time 0.733 (0.820) Data 0.002 (0.002) Loss 2.6761 (2.5916) Prec@1 38.750 (37.002) Prec@5 68.125 (67.803) Epoch: [25][4270/11272] Time 0.841 (0.820) Data 0.002 (0.002) Loss 2.5056 (2.5917) Prec@1 40.000 (37.002) Prec@5 66.875 (67.801) Epoch: [25][4280/11272] Time 0.901 (0.820) Data 0.002 (0.002) Loss 2.5791 (2.5919) Prec@1 36.250 (36.997) Prec@5 67.500 (67.798) Epoch: [25][4290/11272] Time 0.757 (0.820) Data 0.001 (0.002) Loss 2.6433 (2.5918) Prec@1 35.625 (36.995) Prec@5 64.375 (67.800) Epoch: [25][4300/11272] Time 0.864 (0.820) Data 0.001 (0.002) Loss 2.6474 (2.5918) Prec@1 34.375 (36.994) Prec@5 65.000 (67.800) Epoch: [25][4310/11272] Time 0.872 (0.820) Data 0.001 (0.002) Loss 2.7618 (2.5919) Prec@1 35.000 (36.994) Prec@5 61.875 (67.799) Epoch: [25][4320/11272] Time 0.733 (0.820) Data 0.001 (0.002) Loss 2.6756 (2.5920) Prec@1 33.125 (36.994) Prec@5 66.250 (67.796) Epoch: [25][4330/11272] Time 0.728 (0.820) Data 0.001 (0.002) Loss 2.7096 (2.5919) Prec@1 30.625 (36.992) Prec@5 65.000 (67.799) Epoch: [25][4340/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.6506 (2.5918) Prec@1 38.125 (36.992) Prec@5 68.750 (67.801) Epoch: [25][4350/11272] Time 0.898 (0.820) Data 0.002 (0.002) Loss 2.5955 (2.5920) Prec@1 36.250 (36.987) Prec@5 68.750 (67.796) Epoch: [25][4360/11272] Time 0.748 (0.820) Data 0.002 (0.002) Loss 2.4865 (2.5920) Prec@1 41.250 (36.988) Prec@5 68.750 (67.796) Epoch: [25][4370/11272] Time 0.754 (0.820) Data 0.002 (0.002) Loss 2.3227 (2.5920) Prec@1 43.125 (36.988) Prec@5 71.875 (67.796) Epoch: [25][4380/11272] Time 0.872 (0.820) Data 0.001 (0.002) Loss 2.7124 (2.5919) Prec@1 31.875 (36.991) Prec@5 62.500 (67.798) Epoch: [25][4390/11272] Time 0.845 (0.820) Data 0.001 (0.002) Loss 2.5281 (2.5918) Prec@1 41.250 (36.994) Prec@5 68.750 (67.801) Epoch: [25][4400/11272] Time 0.739 (0.820) Data 0.001 (0.002) Loss 2.8151 (2.5919) Prec@1 35.000 (36.993) Prec@5 61.875 (67.798) Epoch: [25][4410/11272] Time 0.756 (0.820) Data 0.002 (0.002) Loss 2.3104 (2.5919) Prec@1 35.000 (36.993) Prec@5 68.125 (67.797) Epoch: [25][4420/11272] Time 0.844 (0.820) Data 0.001 (0.002) Loss 2.4522 (2.5918) Prec@1 32.500 (36.997) Prec@5 73.125 (67.802) Epoch: [25][4430/11272] Time 0.734 (0.820) Data 0.001 (0.002) Loss 2.6144 (2.5919) Prec@1 35.625 (36.991) Prec@5 69.375 (67.802) Epoch: [25][4440/11272] Time 0.748 (0.820) Data 0.001 (0.002) Loss 2.5613 (2.5919) Prec@1 38.750 (36.989) Prec@5 63.750 (67.803) Epoch: [25][4450/11272] Time 0.844 (0.820) Data 0.001 (0.002) Loss 2.4370 (2.5920) Prec@1 38.750 (36.991) Prec@5 70.625 (67.800) Epoch: [25][4460/11272] Time 0.881 (0.820) Data 0.001 (0.002) Loss 2.5306 (2.5920) Prec@1 40.625 (36.992) Prec@5 66.250 (67.802) Epoch: [25][4470/11272] Time 0.773 (0.820) Data 0.001 (0.002) Loss 2.6219 (2.5922) Prec@1 34.375 (36.988) Prec@5 70.000 (67.800) Epoch: [25][4480/11272] Time 0.724 (0.820) Data 0.001 (0.002) Loss 2.6028 (2.5923) Prec@1 31.875 (36.988) Prec@5 69.375 (67.797) Epoch: [25][4490/11272] Time 0.855 (0.820) Data 0.001 (0.002) Loss 2.9575 (2.5925) Prec@1 36.250 (36.988) Prec@5 60.625 (67.795) Epoch: [25][4500/11272] Time 0.841 (0.820) Data 0.001 (0.002) Loss 2.7125 (2.5926) Prec@1 37.500 (36.985) Prec@5 61.250 (67.792) Epoch: [25][4510/11272] Time 0.789 (0.820) Data 0.001 (0.002) Loss 2.7720 (2.5926) Prec@1 35.000 (36.986) Prec@5 66.250 (67.792) Epoch: [25][4520/11272] Time 0.764 (0.820) Data 0.001 (0.002) Loss 2.4147 (2.5925) Prec@1 43.125 (36.985) Prec@5 67.500 (67.794) Epoch: [25][4530/11272] Time 0.856 (0.820) Data 0.001 (0.002) Loss 2.6030 (2.5926) Prec@1 35.625 (36.982) Prec@5 68.750 (67.793) Epoch: [25][4540/11272] Time 0.848 (0.820) Data 0.001 (0.002) Loss 2.5783 (2.5927) Prec@1 36.875 (36.978) Prec@5 68.125 (67.792) Epoch: [25][4550/11272] Time 0.725 (0.820) Data 0.002 (0.002) Loss 2.8721 (2.5930) Prec@1 31.875 (36.972) Prec@5 64.375 (67.784) Epoch: [25][4560/11272] Time 0.842 (0.820) Data 0.001 (0.002) Loss 2.8425 (2.5931) Prec@1 35.625 (36.971) Prec@5 65.625 (67.781) Epoch: [25][4570/11272] Time 0.881 (0.820) Data 0.002 (0.002) Loss 2.8327 (2.5931) Prec@1 32.500 (36.968) Prec@5 61.875 (67.781) Epoch: [25][4580/11272] Time 0.787 (0.820) Data 0.002 (0.002) Loss 2.9203 (2.5934) Prec@1 36.875 (36.964) Prec@5 66.875 (67.778) Epoch: [25][4590/11272] Time 0.733 (0.820) Data 0.001 (0.002) Loss 2.7791 (2.5936) Prec@1 31.875 (36.958) Prec@5 66.250 (67.776) Epoch: [25][4600/11272] Time 0.842 (0.820) Data 0.001 (0.002) Loss 2.6900 (2.5935) Prec@1 33.750 (36.960) Prec@5 70.000 (67.776) Epoch: [25][4610/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.6011 (2.5936) Prec@1 37.500 (36.962) Prec@5 68.125 (67.774) Epoch: [25][4620/11272] Time 0.732 (0.820) Data 0.001 (0.002) Loss 2.6025 (2.5936) Prec@1 37.500 (36.960) Prec@5 65.000 (67.772) Epoch: [25][4630/11272] Time 0.751 (0.820) Data 0.001 (0.002) Loss 2.5852 (2.5937) Prec@1 35.625 (36.959) Prec@5 67.500 (67.766) Epoch: [25][4640/11272] Time 0.858 (0.820) Data 0.002 (0.002) Loss 2.8253 (2.5937) Prec@1 32.500 (36.962) Prec@5 63.125 (67.768) Epoch: [25][4650/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.4097 (2.5935) Prec@1 41.875 (36.967) Prec@5 72.500 (67.771) Epoch: [25][4660/11272] Time 0.753 (0.819) Data 0.001 (0.002) Loss 2.6986 (2.5933) Prec@1 37.500 (36.972) Prec@5 61.875 (67.772) Epoch: [25][4670/11272] Time 0.780 (0.819) Data 0.001 (0.002) Loss 2.6140 (2.5931) Prec@1 30.625 (36.975) Prec@5 68.125 (67.775) Epoch: [25][4680/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.4395 (2.5932) Prec@1 40.000 (36.976) Prec@5 70.625 (67.773) Epoch: [25][4690/11272] Time 0.793 (0.819) Data 0.004 (0.002) Loss 2.6989 (2.5933) Prec@1 35.625 (36.971) Prec@5 64.375 (67.769) Epoch: [25][4700/11272] Time 0.733 (0.819) Data 0.001 (0.002) Loss 2.5545 (2.5935) Prec@1 36.875 (36.968) Prec@5 66.875 (67.767) Epoch: [25][4710/11272] Time 0.864 (0.819) Data 0.002 (0.002) Loss 2.6133 (2.5936) Prec@1 38.750 (36.965) Prec@5 66.875 (67.764) Epoch: [25][4720/11272] Time 0.848 (0.819) Data 0.002 (0.002) Loss 2.6624 (2.5938) Prec@1 35.000 (36.963) Prec@5 65.625 (67.760) Epoch: [25][4730/11272] Time 0.711 (0.819) Data 0.002 (0.002) Loss 2.4913 (2.5938) Prec@1 43.125 (36.965) Prec@5 71.250 (67.758) Epoch: [25][4740/11272] Time 0.816 (0.819) Data 0.002 (0.002) Loss 2.6792 (2.5938) Prec@1 35.625 (36.963) Prec@5 67.500 (67.759) Epoch: [25][4750/11272] Time 0.841 (0.819) Data 0.002 (0.002) Loss 2.4361 (2.5938) Prec@1 38.750 (36.964) Prec@5 70.000 (67.758) Epoch: [25][4760/11272] Time 0.903 (0.819) Data 0.002 (0.002) Loss 2.5131 (2.5939) Prec@1 40.625 (36.966) Prec@5 71.250 (67.755) Epoch: [25][4770/11272] Time 0.729 (0.819) Data 0.002 (0.002) Loss 2.8549 (2.5939) Prec@1 31.875 (36.965) Prec@5 60.625 (67.754) Epoch: [25][4780/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.5021 (2.5937) Prec@1 36.875 (36.967) Prec@5 67.500 (67.758) Epoch: [25][4790/11272] Time 0.932 (0.819) Data 0.001 (0.002) Loss 2.3522 (2.5936) Prec@1 40.000 (36.971) Prec@5 68.750 (67.757) Epoch: [25][4800/11272] Time 0.815 (0.819) Data 0.001 (0.002) Loss 2.5972 (2.5936) Prec@1 40.625 (36.969) Prec@5 63.750 (67.754) Epoch: [25][4810/11272] Time 0.742 (0.819) Data 0.001 (0.002) Loss 2.5471 (2.5935) Prec@1 38.125 (36.973) Prec@5 65.000 (67.757) Epoch: [25][4820/11272] Time 0.910 (0.819) Data 0.002 (0.002) Loss 2.6948 (2.5936) Prec@1 35.625 (36.971) Prec@5 64.375 (67.756) Epoch: [25][4830/11272] Time 0.843 (0.819) Data 0.002 (0.002) Loss 2.4548 (2.5936) Prec@1 43.750 (36.970) Prec@5 71.875 (67.756) Epoch: [25][4840/11272] Time 0.759 (0.819) Data 0.001 (0.002) Loss 2.4999 (2.5937) Prec@1 41.250 (36.969) Prec@5 71.250 (67.756) Epoch: [25][4850/11272] Time 0.738 (0.819) Data 0.001 (0.002) Loss 2.8234 (2.5938) Prec@1 33.750 (36.969) Prec@5 61.250 (67.753) Epoch: [25][4860/11272] Time 0.835 (0.819) Data 0.002 (0.002) Loss 2.5391 (2.5937) Prec@1 39.375 (36.972) Prec@5 71.875 (67.755) Epoch: [25][4870/11272] Time 0.900 (0.819) Data 0.002 (0.002) Loss 2.7487 (2.5937) Prec@1 38.125 (36.973) Prec@5 65.000 (67.753) Epoch: [25][4880/11272] Time 0.764 (0.819) Data 0.001 (0.002) Loss 2.3111 (2.5936) Prec@1 41.875 (36.978) Prec@5 70.000 (67.759) Epoch: [25][4890/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.4796 (2.5936) Prec@1 41.250 (36.980) Prec@5 68.125 (67.761) Epoch: [25][4900/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.6193 (2.5935) Prec@1 33.125 (36.982) Prec@5 65.625 (67.762) Epoch: [25][4910/11272] Time 0.914 (0.819) Data 0.002 (0.002) Loss 2.5245 (2.5936) Prec@1 40.625 (36.979) Prec@5 65.625 (67.759) Epoch: [25][4920/11272] Time 0.727 (0.819) Data 0.002 (0.002) Loss 2.4572 (2.5935) Prec@1 34.375 (36.981) Prec@5 70.000 (67.761) Epoch: [25][4930/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.7353 (2.5935) Prec@1 33.125 (36.985) Prec@5 61.875 (67.758) Epoch: [25][4940/11272] Time 0.844 (0.819) Data 0.002 (0.002) Loss 2.4976 (2.5934) Prec@1 40.625 (36.986) Prec@5 70.625 (67.762) Epoch: [25][4950/11272] Time 0.739 (0.819) Data 0.003 (0.002) Loss 2.8492 (2.5935) Prec@1 28.750 (36.983) Prec@5 61.875 (67.759) Epoch: [25][4960/11272] Time 0.727 (0.819) Data 0.001 (0.002) Loss 2.5618 (2.5933) Prec@1 39.375 (36.986) Prec@5 70.000 (67.763) Epoch: [25][4970/11272] Time 0.858 (0.819) Data 0.001 (0.002) Loss 2.6585 (2.5933) Prec@1 32.500 (36.984) Prec@5 66.250 (67.762) Epoch: [25][4980/11272] Time 0.859 (0.819) Data 0.001 (0.002) Loss 2.8434 (2.5933) Prec@1 33.750 (36.984) Prec@5 64.375 (67.761) Epoch: [25][4990/11272] Time 0.744 (0.819) Data 0.001 (0.002) Loss 2.6784 (2.5933) Prec@1 33.750 (36.983) Prec@5 68.125 (67.763) Epoch: [25][5000/11272] Time 0.748 (0.819) Data 0.001 (0.002) Loss 2.4143 (2.5931) Prec@1 44.375 (36.984) Prec@5 69.375 (67.765) Epoch: [25][5010/11272] Time 0.896 (0.819) Data 0.001 (0.002) Loss 2.5046 (2.5933) Prec@1 40.625 (36.982) Prec@5 65.000 (67.763) Epoch: [25][5020/11272] Time 0.832 (0.819) Data 0.001 (0.002) Loss 2.7601 (2.5933) Prec@1 33.750 (36.979) Prec@5 63.750 (67.761) Epoch: [25][5030/11272] Time 0.723 (0.819) Data 0.001 (0.002) Loss 2.5871 (2.5933) Prec@1 34.375 (36.978) Prec@5 68.750 (67.760) Epoch: [25][5040/11272] Time 0.746 (0.819) Data 0.001 (0.002) Loss 2.6555 (2.5934) Prec@1 35.625 (36.977) Prec@5 67.500 (67.757) Epoch: [25][5050/11272] Time 0.920 (0.819) Data 0.002 (0.002) Loss 2.8991 (2.5934) Prec@1 28.125 (36.976) Prec@5 62.500 (67.757) Epoch: [25][5060/11272] Time 0.857 (0.819) Data 0.001 (0.002) Loss 2.4757 (2.5935) Prec@1 40.000 (36.971) Prec@5 70.625 (67.754) Epoch: [25][5070/11272] Time 0.750 (0.819) Data 0.001 (0.002) Loss 2.5919 (2.5936) Prec@1 37.500 (36.969) Prec@5 67.500 (67.752) Epoch: [25][5080/11272] Time 0.867 (0.819) Data 0.001 (0.002) Loss 2.7026 (2.5936) Prec@1 36.250 (36.973) Prec@5 70.625 (67.753) Epoch: [25][5090/11272] Time 0.850 (0.819) Data 0.002 (0.002) Loss 2.3389 (2.5936) Prec@1 41.875 (36.973) Prec@5 75.000 (67.754) Epoch: [25][5100/11272] Time 0.719 (0.819) Data 0.001 (0.002) Loss 2.7121 (2.5937) Prec@1 35.000 (36.971) Prec@5 68.125 (67.754) Epoch: [25][5110/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.4027 (2.5938) Prec@1 37.500 (36.967) Prec@5 71.875 (67.752) Epoch: [25][5120/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.9029 (2.5938) Prec@1 30.000 (36.968) Prec@5 59.375 (67.751) Epoch: [25][5130/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.5496 (2.5936) Prec@1 37.500 (36.970) Prec@5 71.250 (67.754) Epoch: [25][5140/11272] Time 0.794 (0.819) Data 0.001 (0.002) Loss 2.7103 (2.5936) Prec@1 38.750 (36.972) Prec@5 62.500 (67.753) Epoch: [25][5150/11272] Time 0.723 (0.819) Data 0.001 (0.002) Loss 2.8187 (2.5936) Prec@1 31.250 (36.970) Prec@5 62.500 (67.754) Epoch: [25][5160/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.5573 (2.5937) Prec@1 36.875 (36.969) Prec@5 70.000 (67.752) Epoch: [25][5170/11272] Time 0.880 (0.819) Data 0.001 (0.002) Loss 2.6775 (2.5937) Prec@1 32.500 (36.965) Prec@5 64.375 (67.750) Epoch: [25][5180/11272] Time 0.795 (0.819) Data 0.002 (0.002) Loss 2.7660 (2.5938) Prec@1 30.000 (36.965) Prec@5 65.000 (67.749) Epoch: [25][5190/11272] Time 0.742 (0.819) Data 0.001 (0.002) Loss 2.7085 (2.5938) Prec@1 31.250 (36.963) Prec@5 63.125 (67.748) Epoch: [25][5200/11272] Time 0.884 (0.819) Data 0.002 (0.002) Loss 2.4985 (2.5937) Prec@1 41.875 (36.965) Prec@5 73.125 (67.749) Epoch: [25][5210/11272] Time 0.863 (0.819) Data 0.001 (0.002) Loss 2.7144 (2.5938) Prec@1 34.375 (36.967) Prec@5 66.250 (67.746) Epoch: [25][5220/11272] Time 0.752 (0.819) Data 0.001 (0.002) Loss 2.6541 (2.5938) Prec@1 38.750 (36.967) Prec@5 68.125 (67.747) Epoch: [25][5230/11272] Time 0.820 (0.819) Data 0.001 (0.002) Loss 2.6335 (2.5939) Prec@1 37.500 (36.969) Prec@5 71.250 (67.746) Epoch: [25][5240/11272] Time 0.863 (0.819) Data 0.001 (0.002) Loss 2.6263 (2.5939) Prec@1 38.125 (36.967) Prec@5 65.000 (67.743) Epoch: [25][5250/11272] Time 0.810 (0.819) Data 0.001 (0.002) Loss 2.5511 (2.5938) Prec@1 41.250 (36.973) Prec@5 72.500 (67.746) Epoch: [25][5260/11272] Time 0.739 (0.819) Data 0.001 (0.002) Loss 2.9615 (2.5940) Prec@1 30.625 (36.971) Prec@5 60.625 (67.741) Epoch: [25][5270/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.5599 (2.5942) Prec@1 38.125 (36.968) Prec@5 66.875 (67.737) Epoch: [25][5280/11272] Time 0.894 (0.819) Data 0.001 (0.002) Loss 2.7096 (2.5940) Prec@1 33.750 (36.969) Prec@5 63.750 (67.738) Epoch: [25][5290/11272] Time 0.804 (0.819) Data 0.001 (0.002) Loss 2.5709 (2.5940) Prec@1 38.750 (36.970) Prec@5 68.750 (67.738) Epoch: [25][5300/11272] Time 0.739 (0.819) Data 0.002 (0.002) Loss 2.7907 (2.5940) Prec@1 30.625 (36.966) Prec@5 66.875 (67.740) Epoch: [25][5310/11272] Time 0.853 (0.819) Data 0.001 (0.002) Loss 2.5332 (2.5941) Prec@1 37.500 (36.963) Prec@5 71.250 (67.737) Epoch: [25][5320/11272] Time 0.878 (0.819) Data 0.001 (0.002) Loss 2.7672 (2.5942) Prec@1 35.625 (36.964) Prec@5 63.750 (67.735) Epoch: [25][5330/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.4090 (2.5941) Prec@1 41.875 (36.966) Prec@5 67.500 (67.733) Epoch: [25][5340/11272] Time 0.750 (0.819) Data 0.001 (0.002) Loss 2.4042 (2.5942) Prec@1 35.000 (36.965) Prec@5 73.750 (67.732) Epoch: [25][5350/11272] Time 0.844 (0.819) Data 0.001 (0.002) Loss 2.4934 (2.5943) Prec@1 40.000 (36.962) Prec@5 66.250 (67.729) Epoch: [25][5360/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.6074 (2.5944) Prec@1 39.375 (36.960) Prec@5 69.375 (67.727) Epoch: [25][5370/11272] Time 0.784 (0.819) Data 0.001 (0.002) Loss 2.3721 (2.5943) Prec@1 38.125 (36.963) Prec@5 70.625 (67.728) Epoch: [25][5380/11272] Time 0.841 (0.819) Data 0.001 (0.002) Loss 2.4627 (2.5944) Prec@1 31.250 (36.957) Prec@5 68.750 (67.728) Epoch: [25][5390/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.4000 (2.5945) Prec@1 43.125 (36.957) Prec@5 71.250 (67.728) Epoch: [25][5400/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.3940 (2.5945) Prec@1 38.750 (36.954) Prec@5 71.250 (67.726) Epoch: [25][5410/11272] Time 0.721 (0.819) Data 0.001 (0.002) Loss 2.3441 (2.5944) Prec@1 38.750 (36.956) Prec@5 75.000 (67.726) Epoch: [25][5420/11272] Time 0.846 (0.819) Data 0.001 (0.002) Loss 2.6629 (2.5944) Prec@1 40.000 (36.960) Prec@5 67.500 (67.726) Epoch: [25][5430/11272] Time 0.886 (0.819) Data 0.001 (0.002) Loss 2.5648 (2.5944) Prec@1 38.125 (36.957) Prec@5 69.375 (67.725) Epoch: [25][5440/11272] Time 0.804 (0.819) Data 0.002 (0.002) Loss 2.6268 (2.5945) Prec@1 36.875 (36.953) Prec@5 68.125 (67.726) Epoch: [25][5450/11272] Time 0.733 (0.819) Data 0.001 (0.002) Loss 2.4157 (2.5944) Prec@1 40.000 (36.954) Prec@5 70.000 (67.728) Epoch: [25][5460/11272] Time 0.898 (0.819) Data 0.001 (0.002) Loss 2.2853 (2.5943) Prec@1 43.750 (36.958) Prec@5 74.375 (67.729) Epoch: [25][5470/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.4749 (2.5942) Prec@1 36.875 (36.956) Prec@5 66.875 (67.731) Epoch: [25][5480/11272] Time 0.725 (0.819) Data 0.001 (0.002) Loss 2.5911 (2.5942) Prec@1 35.625 (36.954) Prec@5 68.125 (67.732) Epoch: [25][5490/11272] Time 0.891 (0.819) Data 0.002 (0.002) Loss 2.4664 (2.5943) Prec@1 43.125 (36.952) Prec@5 69.375 (67.732) Epoch: [25][5500/11272] Time 0.859 (0.819) Data 0.001 (0.002) Loss 2.6857 (2.5944) Prec@1 38.750 (36.950) Prec@5 66.875 (67.730) Epoch: [25][5510/11272] Time 0.752 (0.819) Data 0.002 (0.002) Loss 2.6673 (2.5944) Prec@1 40.625 (36.949) Prec@5 70.625 (67.730) Epoch: [25][5520/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.5573 (2.5944) Prec@1 36.875 (36.950) Prec@5 70.000 (67.732) Epoch: [25][5530/11272] Time 0.923 (0.819) Data 0.001 (0.002) Loss 2.5149 (2.5942) Prec@1 35.625 (36.948) Prec@5 70.625 (67.734) Epoch: [25][5540/11272] Time 0.856 (0.819) Data 0.001 (0.002) Loss 2.5272 (2.5942) Prec@1 36.875 (36.947) Prec@5 65.000 (67.733) Epoch: [25][5550/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.4672 (2.5941) Prec@1 37.500 (36.947) Prec@5 68.125 (67.735) Epoch: [25][5560/11272] Time 0.767 (0.819) Data 0.001 (0.002) Loss 2.4189 (2.5939) Prec@1 42.500 (36.951) Prec@5 68.125 (67.739) Epoch: [25][5570/11272] Time 0.845 (0.819) Data 0.001 (0.002) Loss 2.5902 (2.5939) Prec@1 38.125 (36.949) Prec@5 70.625 (67.740) Epoch: [25][5580/11272] Time 0.852 (0.819) Data 0.001 (0.002) Loss 2.6657 (2.5939) Prec@1 35.625 (36.950) Prec@5 67.500 (67.738) Epoch: [25][5590/11272] Time 0.734 (0.819) Data 0.001 (0.002) Loss 2.7293 (2.5941) Prec@1 37.500 (36.950) Prec@5 64.375 (67.734) Epoch: [25][5600/11272] Time 0.787 (0.819) Data 0.001 (0.002) Loss 2.8012 (2.5942) Prec@1 35.000 (36.946) Prec@5 65.625 (67.733) Epoch: [25][5610/11272] Time 0.841 (0.819) Data 0.002 (0.002) Loss 3.0656 (2.5943) Prec@1 34.375 (36.947) Prec@5 58.750 (67.732) Epoch: [25][5620/11272] Time 0.781 (0.819) Data 0.003 (0.002) Loss 2.6298 (2.5945) Prec@1 37.500 (36.944) Prec@5 69.375 (67.731) Epoch: [25][5630/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.5996 (2.5946) Prec@1 33.125 (36.945) Prec@5 65.625 (67.730) Epoch: [25][5640/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.7689 (2.5947) Prec@1 33.750 (36.941) Prec@5 63.125 (67.728) Epoch: [25][5650/11272] Time 0.875 (0.819) Data 0.002 (0.002) Loss 2.5739 (2.5946) Prec@1 35.000 (36.941) Prec@5 64.375 (67.730) Epoch: [25][5660/11272] Time 0.777 (0.819) Data 0.002 (0.002) Loss 2.7518 (2.5947) Prec@1 39.375 (36.940) Prec@5 65.625 (67.729) Epoch: [25][5670/11272] Time 0.794 (0.819) Data 0.001 (0.002) Loss 2.9632 (2.5948) Prec@1 35.000 (36.940) Prec@5 64.375 (67.730) Epoch: [25][5680/11272] Time 0.843 (0.819) Data 0.002 (0.002) Loss 2.5550 (2.5947) Prec@1 36.875 (36.940) Prec@5 70.625 (67.731) Epoch: [25][5690/11272] Time 0.853 (0.819) Data 0.002 (0.002) Loss 2.5894 (2.5948) Prec@1 39.375 (36.940) Prec@5 67.500 (67.731) Epoch: [25][5700/11272] Time 0.794 (0.819) Data 0.001 (0.002) Loss 2.8120 (2.5950) Prec@1 32.500 (36.934) Prec@5 63.750 (67.727) Epoch: [25][5710/11272] Time 0.767 (0.819) Data 0.001 (0.002) Loss 2.5049 (2.5951) Prec@1 40.000 (36.935) Prec@5 69.375 (67.726) Epoch: [25][5720/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.4934 (2.5951) Prec@1 42.500 (36.936) Prec@5 70.625 (67.726) Epoch: [25][5730/11272] Time 0.813 (0.819) Data 0.001 (0.002) Loss 2.8158 (2.5950) Prec@1 30.625 (36.936) Prec@5 61.875 (67.727) Epoch: [25][5740/11272] Time 0.765 (0.818) Data 0.002 (0.002) Loss 2.5478 (2.5950) Prec@1 36.250 (36.935) Prec@5 72.500 (67.729) Epoch: [25][5750/11272] Time 0.856 (0.819) Data 0.001 (0.002) Loss 2.6372 (2.5949) Prec@1 38.125 (36.939) Prec@5 66.250 (67.730) Epoch: [25][5760/11272] Time 0.881 (0.819) Data 0.001 (0.002) Loss 2.4167 (2.5949) Prec@1 41.250 (36.941) Prec@5 71.875 (67.731) Epoch: [25][5770/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.5583 (2.5948) Prec@1 36.875 (36.941) Prec@5 66.250 (67.733) Epoch: [25][5780/11272] Time 0.790 (0.819) Data 0.001 (0.002) Loss 2.5089 (2.5947) Prec@1 40.625 (36.943) Prec@5 68.125 (67.734) Epoch: [25][5790/11272] Time 0.860 (0.819) Data 0.001 (0.002) Loss 2.3090 (2.5947) Prec@1 41.250 (36.942) Prec@5 72.500 (67.733) Epoch: [25][5800/11272] Time 0.884 (0.819) Data 0.001 (0.002) Loss 2.5885 (2.5949) Prec@1 40.000 (36.942) Prec@5 67.500 (67.730) Epoch: [25][5810/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.2753 (2.5948) Prec@1 41.875 (36.944) Prec@5 79.375 (67.729) Epoch: [25][5820/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 2.6274 (2.5947) Prec@1 38.750 (36.947) Prec@5 66.875 (67.732) Epoch: [25][5830/11272] Time 0.859 (0.819) Data 0.001 (0.002) Loss 2.8924 (2.5948) Prec@1 35.625 (36.945) Prec@5 59.375 (67.731) Epoch: [25][5840/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.5091 (2.5947) Prec@1 41.250 (36.945) Prec@5 71.250 (67.732) Epoch: [25][5850/11272] Time 0.713 (0.818) Data 0.001 (0.002) Loss 2.4901 (2.5947) Prec@1 38.750 (36.944) Prec@5 71.250 (67.732) Epoch: [25][5860/11272] Time 0.744 (0.818) Data 0.002 (0.002) Loss 2.4878 (2.5947) Prec@1 37.500 (36.943) Prec@5 72.500 (67.732) Epoch: [25][5870/11272] Time 0.881 (0.818) Data 0.001 (0.002) Loss 2.4193 (2.5946) Prec@1 32.500 (36.943) Prec@5 72.500 (67.735) Epoch: [25][5880/11272] Time 0.725 (0.818) Data 0.003 (0.002) Loss 2.7102 (2.5947) Prec@1 32.500 (36.940) Prec@5 65.000 (67.734) Epoch: [25][5890/11272] Time 0.763 (0.818) Data 0.002 (0.002) Loss 2.5129 (2.5947) Prec@1 34.375 (36.939) Prec@5 70.625 (67.734) Epoch: [25][5900/11272] Time 0.857 (0.818) Data 0.001 (0.002) Loss 2.3711 (2.5948) Prec@1 41.875 (36.940) Prec@5 71.250 (67.733) Epoch: [25][5910/11272] Time 0.833 (0.818) Data 0.001 (0.002) Loss 2.6906 (2.5948) Prec@1 36.875 (36.938) Prec@5 64.375 (67.732) Epoch: [25][5920/11272] Time 0.757 (0.818) Data 0.001 (0.002) Loss 2.3957 (2.5948) Prec@1 40.000 (36.939) Prec@5 74.375 (67.734) Epoch: [25][5930/11272] Time 0.727 (0.818) Data 0.001 (0.002) Loss 2.5448 (2.5948) Prec@1 38.750 (36.939) Prec@5 70.000 (67.734) Epoch: [25][5940/11272] Time 0.871 (0.818) Data 0.001 (0.002) Loss 2.3058 (2.5947) Prec@1 44.375 (36.941) Prec@5 74.375 (67.737) Epoch: [25][5950/11272] Time 0.862 (0.818) Data 0.001 (0.002) Loss 2.5812 (2.5947) Prec@1 41.250 (36.940) Prec@5 64.375 (67.736) Epoch: [25][5960/11272] Time 0.752 (0.818) Data 0.002 (0.002) Loss 2.3722 (2.5947) Prec@1 41.250 (36.940) Prec@5 73.750 (67.738) Epoch: [25][5970/11272] Time 0.753 (0.818) Data 0.001 (0.002) Loss 2.5951 (2.5946) Prec@1 40.625 (36.942) Prec@5 68.125 (67.740) Epoch: [25][5980/11272] Time 0.904 (0.818) Data 0.001 (0.002) Loss 2.5352 (2.5947) Prec@1 32.500 (36.939) Prec@5 68.750 (67.738) Epoch: [25][5990/11272] Time 0.884 (0.818) Data 0.001 (0.002) Loss 2.5357 (2.5947) Prec@1 36.875 (36.940) Prec@5 73.125 (67.738) Epoch: [25][6000/11272] Time 0.723 (0.818) Data 0.002 (0.002) Loss 2.6504 (2.5947) Prec@1 38.125 (36.939) Prec@5 70.000 (67.738) Epoch: [25][6010/11272] Time 0.888 (0.818) Data 0.002 (0.002) Loss 2.4727 (2.5946) Prec@1 43.125 (36.942) Prec@5 70.000 (67.741) Epoch: [25][6020/11272] Time 0.859 (0.818) Data 0.002 (0.002) Loss 2.3315 (2.5946) Prec@1 41.875 (36.943) Prec@5 75.625 (67.742) Epoch: [25][6030/11272] Time 0.737 (0.818) Data 0.001 (0.002) Loss 2.7514 (2.5948) Prec@1 31.875 (36.941) Prec@5 68.125 (67.738) Epoch: [25][6040/11272] Time 0.756 (0.818) Data 0.002 (0.002) Loss 2.7041 (2.5949) Prec@1 33.750 (36.938) Prec@5 65.625 (67.735) Epoch: [25][6050/11272] Time 0.834 (0.818) Data 0.001 (0.002) Loss 2.4638 (2.5948) Prec@1 38.750 (36.942) Prec@5 69.375 (67.737) Epoch: [25][6060/11272] Time 0.889 (0.818) Data 0.001 (0.002) Loss 2.6250 (2.5950) Prec@1 36.875 (36.939) Prec@5 68.125 (67.735) Epoch: [25][6070/11272] Time 0.741 (0.818) Data 0.002 (0.002) Loss 2.7383 (2.5950) Prec@1 36.875 (36.942) Prec@5 66.250 (67.735) Epoch: [25][6080/11272] Time 0.724 (0.818) Data 0.001 (0.002) Loss 2.5802 (2.5949) Prec@1 33.750 (36.942) Prec@5 70.000 (67.739) Epoch: [25][6090/11272] Time 0.849 (0.818) Data 0.002 (0.002) Loss 2.5003 (2.5949) Prec@1 38.750 (36.945) Prec@5 68.125 (67.740) Epoch: [25][6100/11272] Time 0.852 (0.818) Data 0.002 (0.002) Loss 2.6346 (2.5949) Prec@1 41.250 (36.945) Prec@5 70.000 (67.741) Epoch: [25][6110/11272] Time 0.752 (0.818) Data 0.001 (0.002) Loss 2.6300 (2.5948) Prec@1 36.875 (36.946) Prec@5 65.625 (67.741) Epoch: [25][6120/11272] Time 0.719 (0.818) Data 0.001 (0.002) Loss 2.5460 (2.5948) Prec@1 33.125 (36.943) Prec@5 69.375 (67.741) Epoch: [25][6130/11272] Time 0.861 (0.818) Data 0.001 (0.002) Loss 2.7324 (2.5950) Prec@1 36.250 (36.943) Prec@5 66.250 (67.738) Epoch: [25][6140/11272] Time 0.877 (0.818) Data 0.001 (0.002) Loss 2.5658 (2.5950) Prec@1 36.250 (36.943) Prec@5 65.000 (67.737) Epoch: [25][6150/11272] Time 0.748 (0.818) Data 0.001 (0.002) Loss 2.6034 (2.5949) Prec@1 38.125 (36.945) Prec@5 64.375 (67.739) Epoch: [25][6160/11272] Time 0.812 (0.818) Data 0.001 (0.002) Loss 2.6301 (2.5948) Prec@1 40.000 (36.947) Prec@5 75.000 (67.741) Epoch: [25][6170/11272] Time 0.876 (0.818) Data 0.001 (0.002) Loss 2.6131 (2.5948) Prec@1 36.250 (36.948) Prec@5 70.000 (67.746) Epoch: [25][6180/11272] Time 0.777 (0.818) Data 0.002 (0.002) Loss 2.6091 (2.5948) Prec@1 41.250 (36.946) Prec@5 62.500 (67.748) Epoch: [25][6190/11272] Time 0.744 (0.818) Data 0.002 (0.002) Loss 2.6177 (2.5949) Prec@1 36.250 (36.943) Prec@5 66.250 (67.748) Epoch: [25][6200/11272] Time 0.914 (0.818) Data 0.002 (0.002) Loss 2.6710 (2.5949) Prec@1 37.500 (36.942) Prec@5 65.000 (67.748) Epoch: [25][6210/11272] Time 0.950 (0.818) Data 0.002 (0.002) Loss 2.8574 (2.5948) Prec@1 29.375 (36.942) Prec@5 66.250 (67.752) Epoch: [25][6220/11272] Time 0.787 (0.818) Data 0.001 (0.002) Loss 2.5288 (2.5949) Prec@1 34.375 (36.938) Prec@5 70.000 (67.752) Epoch: [25][6230/11272] Time 0.741 (0.818) Data 0.002 (0.002) Loss 2.6287 (2.5949) Prec@1 36.875 (36.937) Prec@5 68.750 (67.752) Epoch: [25][6240/11272] Time 0.831 (0.818) Data 0.001 (0.002) Loss 2.9340 (2.5950) Prec@1 32.500 (36.935) Prec@5 63.125 (67.751) Epoch: [25][6250/11272] Time 0.868 (0.818) Data 0.001 (0.002) Loss 2.3915 (2.5949) Prec@1 46.250 (36.937) Prec@5 72.500 (67.753) Epoch: [25][6260/11272] Time 0.739 (0.818) Data 0.001 (0.002) Loss 2.5285 (2.5949) Prec@1 39.375 (36.936) Prec@5 68.750 (67.753) Epoch: [25][6270/11272] Time 0.872 (0.818) Data 0.002 (0.002) Loss 2.5675 (2.5948) Prec@1 36.250 (36.938) Prec@5 68.750 (67.752) Epoch: [25][6280/11272] Time 0.864 (0.818) Data 0.001 (0.002) Loss 2.3907 (2.5947) Prec@1 36.250 (36.941) Prec@5 73.750 (67.756) Epoch: [25][6290/11272] Time 0.728 (0.818) Data 0.001 (0.002) Loss 2.8299 (2.5948) Prec@1 33.125 (36.941) Prec@5 61.875 (67.753) Epoch: [25][6300/11272] Time 0.749 (0.818) Data 0.002 (0.002) Loss 2.7878 (2.5949) Prec@1 32.500 (36.938) Prec@5 65.000 (67.749) Epoch: [25][6310/11272] Time 0.867 (0.818) Data 0.002 (0.002) Loss 2.5940 (2.5950) Prec@1 46.250 (36.938) Prec@5 65.000 (67.748) Epoch: [25][6320/11272] Time 0.870 (0.818) Data 0.001 (0.002) Loss 2.7485 (2.5951) Prec@1 37.500 (36.937) Prec@5 61.250 (67.744) Epoch: [25][6330/11272] Time 0.728 (0.818) Data 0.001 (0.002) Loss 2.6295 (2.5951) Prec@1 36.875 (36.939) Prec@5 69.375 (67.746) Epoch: [25][6340/11272] Time 0.784 (0.818) Data 0.002 (0.002) Loss 2.4619 (2.5950) Prec@1 40.625 (36.941) Prec@5 70.000 (67.748) Epoch: [25][6350/11272] Time 0.845 (0.818) Data 0.001 (0.002) Loss 2.5561 (2.5949) Prec@1 34.375 (36.941) Prec@5 69.375 (67.749) Epoch: [25][6360/11272] Time 0.892 (0.818) Data 0.001 (0.002) Loss 2.4791 (2.5949) Prec@1 38.125 (36.941) Prec@5 68.125 (67.749) Epoch: [25][6370/11272] Time 0.796 (0.818) Data 0.002 (0.002) Loss 2.6021 (2.5949) Prec@1 36.875 (36.942) Prec@5 68.750 (67.749) Epoch: [25][6380/11272] Time 0.774 (0.818) Data 0.001 (0.002) Loss 2.7039 (2.5948) Prec@1 36.875 (36.945) Prec@5 68.125 (67.751) Epoch: [25][6390/11272] Time 0.852 (0.818) Data 0.002 (0.002) Loss 2.7888 (2.5948) Prec@1 31.875 (36.945) Prec@5 64.375 (67.754) Epoch: [25][6400/11272] Time 0.874 (0.818) Data 0.001 (0.002) Loss 2.5461 (2.5948) Prec@1 38.125 (36.945) Prec@5 66.875 (67.754) Epoch: [25][6410/11272] Time 0.746 (0.818) Data 0.001 (0.002) Loss 2.5369 (2.5947) Prec@1 39.375 (36.947) Prec@5 68.750 (67.755) Epoch: [25][6420/11272] Time 0.861 (0.818) Data 0.001 (0.002) Loss 3.0044 (2.5947) Prec@1 32.500 (36.945) Prec@5 59.375 (67.753) Epoch: [25][6430/11272] Time 0.870 (0.818) Data 0.001 (0.002) Loss 2.8612 (2.5949) Prec@1 35.000 (36.943) Prec@5 61.875 (67.749) Epoch: [25][6440/11272] Time 0.739 (0.818) Data 0.002 (0.002) Loss 2.4646 (2.5948) Prec@1 40.625 (36.945) Prec@5 68.125 (67.750) Epoch: [25][6450/11272] Time 0.724 (0.818) Data 0.001 (0.002) Loss 2.5893 (2.5948) Prec@1 32.500 (36.944) Prec@5 66.875 (67.750) Epoch: [25][6460/11272] Time 0.924 (0.818) Data 0.001 (0.002) Loss 2.8725 (2.5949) Prec@1 34.375 (36.945) Prec@5 58.125 (67.748) Epoch: [25][6470/11272] Time 0.835 (0.818) Data 0.001 (0.002) Loss 2.7278 (2.5950) Prec@1 36.250 (36.942) Prec@5 65.625 (67.746) Epoch: [25][6480/11272] Time 0.762 (0.818) Data 0.001 (0.002) Loss 2.4683 (2.5950) Prec@1 36.875 (36.943) Prec@5 71.875 (67.745) Epoch: [25][6490/11272] Time 0.744 (0.818) Data 0.001 (0.002) Loss 2.5727 (2.5951) Prec@1 39.375 (36.942) Prec@5 61.250 (67.742) Epoch: [25][6500/11272] Time 0.873 (0.818) Data 0.002 (0.002) Loss 2.5946 (2.5952) Prec@1 39.375 (36.941) Prec@5 68.125 (67.739) Epoch: [25][6510/11272] Time 0.847 (0.818) Data 0.001 (0.002) Loss 2.7307 (2.5952) Prec@1 33.125 (36.940) Prec@5 70.000 (67.740) Epoch: [25][6520/11272] Time 0.750 (0.818) Data 0.002 (0.002) Loss 2.6153 (2.5952) Prec@1 37.500 (36.941) Prec@5 67.500 (67.741) Epoch: [25][6530/11272] Time 0.788 (0.818) Data 0.002 (0.002) Loss 2.5253 (2.5952) Prec@1 35.000 (36.942) Prec@5 68.125 (67.741) Epoch: [25][6540/11272] Time 0.869 (0.818) Data 0.001 (0.002) Loss 2.3282 (2.5954) Prec@1 40.625 (36.936) Prec@5 75.625 (67.739) Epoch: [25][6550/11272] Time 0.737 (0.818) Data 0.003 (0.002) Loss 2.6084 (2.5953) Prec@1 38.750 (36.937) Prec@5 66.875 (67.741) Epoch: [25][6560/11272] Time 0.728 (0.818) Data 0.001 (0.002) Loss 2.5318 (2.5954) Prec@1 36.875 (36.933) Prec@5 71.875 (67.738) Epoch: [25][6570/11272] Time 0.842 (0.818) Data 0.001 (0.002) Loss 2.4665 (2.5954) Prec@1 38.750 (36.934) Prec@5 67.500 (67.738) Epoch: [25][6580/11272] Time 0.840 (0.818) Data 0.002 (0.002) Loss 2.5528 (2.5953) Prec@1 40.625 (36.936) Prec@5 68.750 (67.737) Epoch: [25][6590/11272] Time 0.782 (0.818) Data 0.001 (0.002) Loss 2.5209 (2.5953) Prec@1 44.375 (36.938) Prec@5 72.500 (67.736) Epoch: [25][6600/11272] Time 0.758 (0.818) Data 0.001 (0.002) Loss 2.5510 (2.5953) Prec@1 35.625 (36.940) Prec@5 72.500 (67.737) Epoch: [25][6610/11272] Time 0.907 (0.818) Data 0.002 (0.002) Loss 2.4117 (2.5952) Prec@1 35.000 (36.940) Prec@5 74.375 (67.738) Epoch: [25][6620/11272] Time 0.905 (0.818) Data 0.002 (0.002) Loss 2.1823 (2.5951) Prec@1 43.750 (36.942) Prec@5 73.125 (67.742) Epoch: [25][6630/11272] Time 0.728 (0.818) Data 0.001 (0.002) Loss 2.7105 (2.5951) Prec@1 35.000 (36.943) Prec@5 67.500 (67.740) Epoch: [25][6640/11272] Time 0.724 (0.818) Data 0.001 (0.002) Loss 2.7927 (2.5951) Prec@1 31.875 (36.943) Prec@5 63.750 (67.739) Epoch: [25][6650/11272] Time 0.865 (0.818) Data 0.001 (0.002) Loss 2.5328 (2.5952) Prec@1 38.750 (36.946) Prec@5 67.500 (67.736) Epoch: [25][6660/11272] Time 0.880 (0.818) Data 0.001 (0.002) Loss 2.7408 (2.5951) Prec@1 34.375 (36.946) Prec@5 63.750 (67.736) Epoch: [25][6670/11272] Time 0.801 (0.818) Data 0.001 (0.002) Loss 2.6906 (2.5952) Prec@1 38.750 (36.947) Prec@5 63.125 (67.734) Epoch: [25][6680/11272] Time 0.912 (0.818) Data 0.001 (0.002) Loss 2.7852 (2.5952) Prec@1 39.375 (36.948) Prec@5 63.750 (67.734) Epoch: [25][6690/11272] Time 0.907 (0.818) Data 0.002 (0.002) Loss 2.4993 (2.5952) Prec@1 36.250 (36.947) Prec@5 69.375 (67.732) Epoch: [25][6700/11272] Time 0.727 (0.818) Data 0.001 (0.002) Loss 2.5574 (2.5951) Prec@1 35.625 (36.948) Prec@5 69.375 (67.735) Epoch: [25][6710/11272] Time 0.727 (0.818) Data 0.001 (0.002) Loss 2.3226 (2.5950) Prec@1 43.750 (36.949) Prec@5 75.000 (67.738) Epoch: [25][6720/11272] Time 0.912 (0.818) Data 0.002 (0.002) Loss 2.4420 (2.5949) Prec@1 44.375 (36.952) Prec@5 71.875 (67.739) Epoch: [25][6730/11272] Time 0.844 (0.818) Data 0.002 (0.002) Loss 2.6433 (2.5949) Prec@1 34.375 (36.952) Prec@5 69.375 (67.741) Epoch: [25][6740/11272] Time 0.766 (0.818) Data 0.002 (0.002) Loss 2.6566 (2.5950) Prec@1 34.375 (36.951) Prec@5 62.500 (67.740) Epoch: [25][6750/11272] Time 0.732 (0.818) Data 0.001 (0.002) Loss 2.5335 (2.5951) Prec@1 40.625 (36.951) Prec@5 69.375 (67.738) Epoch: [25][6760/11272] Time 0.921 (0.818) Data 0.002 (0.002) Loss 2.7026 (2.5951) Prec@1 34.375 (36.950) Prec@5 69.375 (67.738) Epoch: [25][6770/11272] Time 0.861 (0.818) Data 0.002 (0.002) Loss 2.5425 (2.5951) Prec@1 43.750 (36.950) Prec@5 66.250 (67.738) Epoch: [25][6780/11272] Time 0.737 (0.818) Data 0.002 (0.002) Loss 2.5488 (2.5952) Prec@1 41.875 (36.949) Prec@5 68.125 (67.734) Epoch: [25][6790/11272] Time 0.721 (0.818) Data 0.001 (0.002) Loss 2.4599 (2.5952) Prec@1 40.625 (36.949) Prec@5 68.750 (67.736) Epoch: [25][6800/11272] Time 0.872 (0.818) Data 0.001 (0.002) Loss 2.2964 (2.5952) Prec@1 45.625 (36.949) Prec@5 72.500 (67.736) Epoch: [25][6810/11272] Time 0.750 (0.818) Data 0.003 (0.002) Loss 2.4557 (2.5952) Prec@1 38.125 (36.953) Prec@5 71.250 (67.735) Epoch: [25][6820/11272] Time 0.785 (0.818) Data 0.001 (0.002) Loss 2.3985 (2.5951) Prec@1 44.375 (36.954) Prec@5 69.375 (67.736) Epoch: [25][6830/11272] Time 0.877 (0.818) Data 0.001 (0.002) Loss 2.8995 (2.5952) Prec@1 26.250 (36.954) Prec@5 60.000 (67.737) Epoch: [25][6840/11272] Time 0.855 (0.818) Data 0.001 (0.002) Loss 2.5098 (2.5952) Prec@1 40.000 (36.951) Prec@5 70.625 (67.733) Epoch: [25][6850/11272] Time 0.730 (0.818) Data 0.001 (0.002) Loss 2.5275 (2.5953) Prec@1 35.625 (36.948) Prec@5 70.625 (67.732) Epoch: [25][6860/11272] Time 0.725 (0.818) Data 0.001 (0.002) Loss 2.5274 (2.5953) Prec@1 39.375 (36.947) Prec@5 65.625 (67.729) Epoch: [25][6870/11272] Time 0.846 (0.818) Data 0.001 (0.002) Loss 3.0194 (2.5953) Prec@1 30.000 (36.948) Prec@5 58.750 (67.730) Epoch: [25][6880/11272] Time 0.882 (0.818) Data 0.001 (0.002) Loss 2.2908 (2.5954) Prec@1 40.000 (36.947) Prec@5 72.500 (67.728) Epoch: [25][6890/11272] Time 0.755 (0.818) Data 0.002 (0.002) Loss 2.6205 (2.5953) Prec@1 35.625 (36.945) Prec@5 66.250 (67.730) Epoch: [25][6900/11272] Time 0.799 (0.818) Data 0.001 (0.002) Loss 2.5010 (2.5954) Prec@1 38.750 (36.946) Prec@5 71.250 (67.729) Epoch: [25][6910/11272] Time 0.886 (0.818) Data 0.002 (0.002) Loss 2.5743 (2.5953) Prec@1 35.000 (36.944) Prec@5 68.125 (67.730) Epoch: [25][6920/11272] Time 0.862 (0.818) Data 0.001 (0.002) Loss 2.6008 (2.5953) Prec@1 33.125 (36.945) Prec@5 68.750 (67.732) Epoch: [25][6930/11272] Time 0.760 (0.818) Data 0.001 (0.002) Loss 2.4010 (2.5953) Prec@1 40.625 (36.942) Prec@5 70.000 (67.732) Epoch: [25][6940/11272] Time 0.869 (0.818) Data 0.001 (0.002) Loss 2.2226 (2.5954) Prec@1 40.625 (36.942) Prec@5 73.750 (67.730) Epoch: [25][6950/11272] Time 0.896 (0.818) Data 0.001 (0.002) Loss 2.2753 (2.5954) Prec@1 43.750 (36.942) Prec@5 75.000 (67.730) Epoch: [25][6960/11272] Time 0.767 (0.818) Data 0.001 (0.002) Loss 2.2914 (2.5954) Prec@1 46.250 (36.945) Prec@5 76.875 (67.731) Epoch: [25][6970/11272] Time 0.781 (0.818) Data 0.001 (0.002) Loss 2.3863 (2.5954) Prec@1 43.750 (36.945) Prec@5 66.250 (67.731) Epoch: [25][6980/11272] Time 0.858 (0.818) Data 0.001 (0.002) Loss 2.5001 (2.5955) Prec@1 40.625 (36.943) Prec@5 69.375 (67.729) Epoch: [25][6990/11272] Time 0.898 (0.818) Data 0.001 (0.002) Loss 2.7423 (2.5955) Prec@1 37.500 (36.945) Prec@5 67.500 (67.730) Epoch: [25][7000/11272] Time 0.766 (0.818) Data 0.001 (0.002) Loss 2.5980 (2.5955) Prec@1 35.625 (36.945) Prec@5 68.750 (67.730) Epoch: [25][7010/11272] Time 0.723 (0.818) Data 0.001 (0.002) Loss 2.4717 (2.5956) Prec@1 40.625 (36.945) Prec@5 70.000 (67.729) Epoch: [25][7020/11272] Time 0.873 (0.818) Data 0.001 (0.002) Loss 2.6257 (2.5956) Prec@1 38.750 (36.946) Prec@5 66.875 (67.729) Epoch: [25][7030/11272] Time 0.878 (0.818) Data 0.001 (0.002) Loss 2.3547 (2.5956) Prec@1 43.750 (36.945) Prec@5 69.375 (67.730) Epoch: [25][7040/11272] Time 0.734 (0.818) Data 0.002 (0.002) Loss 2.4127 (2.5955) Prec@1 43.750 (36.947) Prec@5 66.250 (67.731) Epoch: [25][7050/11272] Time 0.766 (0.818) Data 0.001 (0.002) Loss 2.5020 (2.5954) Prec@1 41.250 (36.951) Prec@5 69.375 (67.734) Epoch: [25][7060/11272] Time 0.903 (0.818) Data 0.001 (0.002) Loss 2.5683 (2.5954) Prec@1 42.500 (36.950) Prec@5 68.750 (67.734) Epoch: [25][7070/11272] Time 0.823 (0.818) Data 0.001 (0.002) Loss 2.9521 (2.5955) Prec@1 33.750 (36.947) Prec@5 58.125 (67.733) Epoch: [25][7080/11272] Time 0.759 (0.818) Data 0.002 (0.002) Loss 2.6585 (2.5955) Prec@1 35.000 (36.945) Prec@5 65.625 (67.732) Epoch: [25][7090/11272] Time 0.835 (0.818) Data 0.001 (0.002) Loss 2.8393 (2.5955) Prec@1 32.500 (36.945) Prec@5 61.250 (67.732) Epoch: [25][7100/11272] Time 0.861 (0.818) Data 0.001 (0.002) Loss 2.5385 (2.5955) Prec@1 35.625 (36.943) Prec@5 70.625 (67.733) Epoch: [25][7110/11272] Time 0.778 (0.818) Data 0.001 (0.002) Loss 2.5843 (2.5957) Prec@1 37.500 (36.942) Prec@5 71.875 (67.731) Epoch: [25][7120/11272] Time 0.735 (0.818) Data 0.001 (0.002) Loss 2.7877 (2.5957) Prec@1 31.250 (36.943) Prec@5 64.375 (67.730) Epoch: [25][7130/11272] Time 0.855 (0.818) Data 0.002 (0.002) Loss 2.6776 (2.5956) Prec@1 35.625 (36.943) Prec@5 66.875 (67.733) Epoch: [25][7140/11272] Time 0.838 (0.818) Data 0.001 (0.002) Loss 2.5239 (2.5956) Prec@1 38.750 (36.941) Prec@5 70.000 (67.732) Epoch: [25][7150/11272] Time 0.735 (0.818) Data 0.002 (0.002) Loss 2.7852 (2.5957) Prec@1 35.000 (36.940) Prec@5 65.000 (67.730) Epoch: [25][7160/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.5663 (2.5957) Prec@1 38.750 (36.942) Prec@5 68.125 (67.729) Epoch: [25][7170/11272] Time 0.880 (0.818) Data 0.002 (0.002) Loss 2.6522 (2.5958) Prec@1 40.625 (36.943) Prec@5 65.625 (67.726) Epoch: [25][7180/11272] Time 0.820 (0.818) Data 0.001 (0.002) Loss 2.4958 (2.5958) Prec@1 40.625 (36.943) Prec@5 73.125 (67.727) Epoch: [25][7190/11272] Time 0.770 (0.818) Data 0.001 (0.002) Loss 2.5208 (2.5957) Prec@1 35.625 (36.943) Prec@5 69.375 (67.727) Epoch: [25][7200/11272] Time 0.834 (0.818) Data 0.001 (0.002) Loss 2.7764 (2.5957) Prec@1 33.125 (36.944) Prec@5 67.500 (67.726) Epoch: [25][7210/11272] Time 0.858 (0.818) Data 0.002 (0.002) Loss 2.6157 (2.5958) Prec@1 36.875 (36.944) Prec@5 65.625 (67.725) Epoch: [25][7220/11272] Time 0.732 (0.818) Data 0.001 (0.002) Loss 2.7002 (2.5958) Prec@1 38.750 (36.944) Prec@5 67.500 (67.724) Epoch: [25][7230/11272] Time 0.711 (0.818) Data 0.001 (0.002) Loss 2.4249 (2.5958) Prec@1 46.875 (36.944) Prec@5 70.625 (67.723) Epoch: [25][7240/11272] Time 0.839 (0.818) Data 0.001 (0.002) Loss 2.6984 (2.5959) Prec@1 30.625 (36.942) Prec@5 64.375 (67.721) Epoch: [25][7250/11272] Time 0.882 (0.818) Data 0.001 (0.002) Loss 2.3843 (2.5959) Prec@1 40.625 (36.941) Prec@5 70.625 (67.721) Epoch: [25][7260/11272] Time 0.761 (0.818) Data 0.001 (0.002) Loss 2.7104 (2.5958) Prec@1 32.500 (36.940) Prec@5 58.750 (67.721) Epoch: [25][7270/11272] Time 0.727 (0.818) Data 0.001 (0.002) Loss 2.6953 (2.5958) Prec@1 33.125 (36.942) Prec@5 64.375 (67.721) Epoch: [25][7280/11272] Time 0.893 (0.818) Data 0.002 (0.002) Loss 2.9225 (2.5960) Prec@1 31.250 (36.941) Prec@5 66.875 (67.719) Epoch: [25][7290/11272] Time 0.875 (0.818) Data 0.002 (0.002) Loss 2.8987 (2.5961) Prec@1 26.875 (36.938) Prec@5 65.625 (67.715) Epoch: [25][7300/11272] Time 0.752 (0.818) Data 0.001 (0.002) Loss 2.3535 (2.5961) Prec@1 45.000 (36.941) Prec@5 71.875 (67.717) Epoch: [25][7310/11272] Time 0.725 (0.818) Data 0.001 (0.002) Loss 2.8978 (2.5961) Prec@1 33.125 (36.940) Prec@5 63.125 (67.716) Epoch: [25][7320/11272] Time 0.889 (0.818) Data 0.001 (0.002) Loss 3.0384 (2.5962) Prec@1 32.500 (36.938) Prec@5 60.625 (67.715) Epoch: [25][7330/11272] Time 0.927 (0.818) Data 0.002 (0.002) Loss 2.7456 (2.5962) Prec@1 31.875 (36.937) Prec@5 62.500 (67.714) Epoch: [25][7340/11272] Time 0.729 (0.818) Data 0.001 (0.002) Loss 2.5584 (2.5963) Prec@1 40.625 (36.938) Prec@5 66.250 (67.712) Epoch: [25][7350/11272] Time 0.903 (0.818) Data 0.001 (0.002) Loss 2.8367 (2.5963) Prec@1 36.250 (36.937) Prec@5 65.000 (67.710) Epoch: [25][7360/11272] Time 0.846 (0.818) Data 0.001 (0.002) Loss 2.6254 (2.5963) Prec@1 38.750 (36.938) Prec@5 69.375 (67.710) Epoch: [25][7370/11272] Time 0.740 (0.818) Data 0.001 (0.002) Loss 2.4553 (2.5962) Prec@1 40.000 (36.940) Prec@5 68.125 (67.710) Epoch: [25][7380/11272] Time 0.772 (0.818) Data 0.001 (0.002) Loss 2.8094 (2.5962) Prec@1 33.750 (36.940) Prec@5 61.875 (67.709) Epoch: [25][7390/11272] Time 0.848 (0.818) Data 0.001 (0.002) Loss 2.7228 (2.5962) Prec@1 33.750 (36.939) Prec@5 68.125 (67.710) Epoch: [25][7400/11272] Time 0.879 (0.818) Data 0.001 (0.002) Loss 2.8660 (2.5962) Prec@1 30.625 (36.939) Prec@5 63.125 (67.710) Epoch: [25][7410/11272] Time 0.751 (0.818) Data 0.002 (0.002) Loss 2.9027 (2.5963) Prec@1 29.375 (36.936) Prec@5 64.375 (67.708) Epoch: [25][7420/11272] Time 0.808 (0.818) Data 0.001 (0.002) Loss 2.4350 (2.5962) Prec@1 43.125 (36.940) Prec@5 70.000 (67.709) Epoch: [25][7430/11272] Time 0.829 (0.818) Data 0.001 (0.002) Loss 2.4149 (2.5961) Prec@1 36.250 (36.941) Prec@5 70.000 (67.711) Epoch: [25][7440/11272] Time 0.887 (0.818) Data 0.001 (0.002) Loss 2.6871 (2.5961) Prec@1 33.125 (36.940) Prec@5 65.625 (67.712) Epoch: [25][7450/11272] Time 0.738 (0.817) Data 0.002 (0.002) Loss 2.9441 (2.5962) Prec@1 33.125 (36.939) Prec@5 58.750 (67.710) Epoch: [25][7460/11272] Time 0.743 (0.817) Data 0.002 (0.002) Loss 2.4063 (2.5962) Prec@1 43.750 (36.939) Prec@5 68.750 (67.708) Epoch: [25][7470/11272] Time 0.888 (0.817) Data 0.001 (0.002) Loss 2.5242 (2.5962) Prec@1 40.000 (36.939) Prec@5 70.000 (67.709) Epoch: [25][7480/11272] Time 0.802 (0.817) Data 0.003 (0.002) Loss 2.5815 (2.5963) Prec@1 35.000 (36.937) Prec@5 65.000 (67.709) Epoch: [25][7490/11272] Time 0.731 (0.817) Data 0.001 (0.002) Loss 2.4784 (2.5963) Prec@1 37.500 (36.936) Prec@5 74.375 (67.709) Epoch: [25][7500/11272] Time 0.857 (0.817) Data 0.001 (0.002) Loss 2.7213 (2.5963) Prec@1 36.875 (36.936) Prec@5 66.875 (67.708) Epoch: [25][7510/11272] Time 0.909 (0.817) Data 0.002 (0.002) Loss 2.8764 (2.5964) Prec@1 32.500 (36.937) Prec@5 63.750 (67.706) Epoch: [25][7520/11272] Time 0.771 (0.817) Data 0.001 (0.002) Loss 2.5507 (2.5964) Prec@1 36.875 (36.936) Prec@5 66.875 (67.706) Epoch: [25][7530/11272] Time 0.798 (0.817) Data 0.001 (0.002) Loss 2.6248 (2.5964) Prec@1 36.250 (36.936) Prec@5 68.750 (67.706) Epoch: [25][7540/11272] Time 0.864 (0.817) Data 0.001 (0.002) Loss 2.5770 (2.5963) Prec@1 39.375 (36.936) Prec@5 64.375 (67.707) Epoch: [25][7550/11272] Time 0.887 (0.817) Data 0.002 (0.002) Loss 2.5172 (2.5963) Prec@1 38.125 (36.937) Prec@5 72.500 (67.708) Epoch: [25][7560/11272] Time 0.753 (0.817) Data 0.001 (0.002) Loss 2.4328 (2.5963) Prec@1 40.625 (36.936) Prec@5 67.500 (67.707) Epoch: [25][7570/11272] Time 0.787 (0.817) Data 0.001 (0.002) Loss 2.6754 (2.5964) Prec@1 33.750 (36.934) Prec@5 64.375 (67.706) Epoch: [25][7580/11272] Time 0.943 (0.817) Data 0.001 (0.002) Loss 2.7027 (2.5964) Prec@1 39.375 (36.936) Prec@5 67.500 (67.703) Epoch: [25][7590/11272] Time 0.887 (0.817) Data 0.001 (0.002) Loss 2.3681 (2.5964) Prec@1 40.625 (36.937) Prec@5 75.000 (67.703) Epoch: [25][7600/11272] Time 0.764 (0.817) Data 0.001 (0.002) Loss 2.5098 (2.5963) Prec@1 40.000 (36.939) Prec@5 70.000 (67.703) Epoch: [25][7610/11272] Time 0.865 (0.817) Data 0.002 (0.002) Loss 2.6169 (2.5963) Prec@1 36.875 (36.938) Prec@5 67.500 (67.704) Epoch: [25][7620/11272] Time 0.873 (0.817) Data 0.001 (0.002) Loss 2.7169 (2.5965) Prec@1 38.125 (36.936) Prec@5 67.500 (67.702) Epoch: [25][7630/11272] Time 0.727 (0.817) Data 0.001 (0.002) Loss 2.6404 (2.5966) Prec@1 37.500 (36.932) Prec@5 61.875 (67.699) Epoch: [25][7640/11272] Time 0.728 (0.817) Data 0.001 (0.002) Loss 2.6850 (2.5967) Prec@1 40.000 (36.930) Prec@5 68.125 (67.697) Epoch: [25][7650/11272] Time 0.888 (0.817) Data 0.002 (0.002) Loss 2.8569 (2.5967) Prec@1 30.000 (36.929) Prec@5 61.250 (67.698) Epoch: [25][7660/11272] Time 0.892 (0.817) Data 0.001 (0.002) Loss 2.6246 (2.5966) Prec@1 35.625 (36.930) Prec@5 66.875 (67.700) Epoch: [25][7670/11272] Time 0.749 (0.817) Data 0.001 (0.002) Loss 2.4221 (2.5965) Prec@1 41.250 (36.932) Prec@5 72.500 (67.702) Epoch: [25][7680/11272] Time 0.797 (0.817) Data 0.001 (0.002) Loss 2.4616 (2.5965) Prec@1 37.500 (36.931) Prec@5 75.000 (67.701) Epoch: [25][7690/11272] Time 0.902 (0.817) Data 0.001 (0.002) Loss 2.8306 (2.5965) Prec@1 35.000 (36.931) Prec@5 61.875 (67.701) Epoch: [25][7700/11272] Time 0.926 (0.817) Data 0.002 (0.002) Loss 2.4448 (2.5965) Prec@1 43.125 (36.931) Prec@5 68.125 (67.701) Epoch: [25][7710/11272] Time 0.793 (0.817) Data 0.001 (0.002) Loss 2.5815 (2.5965) Prec@1 40.000 (36.931) Prec@5 67.500 (67.701) Epoch: [25][7720/11272] Time 0.741 (0.817) Data 0.001 (0.002) Loss 2.6376 (2.5965) Prec@1 40.000 (36.932) Prec@5 71.875 (67.701) Epoch: [25][7730/11272] Time 0.841 (0.817) Data 0.001 (0.002) Loss 2.7536 (2.5965) Prec@1 35.000 (36.932) Prec@5 60.000 (67.700) Epoch: [25][7740/11272] Time 0.729 (0.817) Data 0.003 (0.002) Loss 2.5021 (2.5964) Prec@1 38.750 (36.935) Prec@5 70.625 (67.700) Epoch: [25][7750/11272] Time 0.762 (0.817) Data 0.002 (0.002) Loss 2.9466 (2.5965) Prec@1 25.000 (36.935) Prec@5 63.750 (67.699) Epoch: [25][7760/11272] Time 0.881 (0.817) Data 0.001 (0.002) Loss 2.5433 (2.5965) Prec@1 34.375 (36.935) Prec@5 68.750 (67.699) Epoch: [25][7770/11272] Time 0.876 (0.817) Data 0.001 (0.002) Loss 2.5656 (2.5965) Prec@1 46.250 (36.938) Prec@5 66.250 (67.700) Epoch: [25][7780/11272] Time 0.804 (0.817) Data 0.001 (0.002) Loss 2.5515 (2.5964) Prec@1 36.875 (36.938) Prec@5 68.750 (67.701) Epoch: [25][7790/11272] Time 0.804 (0.817) Data 0.001 (0.002) Loss 2.5053 (2.5965) Prec@1 37.500 (36.936) Prec@5 69.375 (67.700) Epoch: [25][7800/11272] Time 0.851 (0.817) Data 0.001 (0.002) Loss 2.9139 (2.5965) Prec@1 28.125 (36.935) Prec@5 58.125 (67.700) Epoch: [25][7810/11272] Time 0.881 (0.817) Data 0.001 (0.002) Loss 2.4875 (2.5966) Prec@1 37.500 (36.934) Prec@5 69.375 (67.699) Epoch: [25][7820/11272] Time 0.802 (0.817) Data 0.001 (0.002) Loss 2.6504 (2.5966) Prec@1 36.875 (36.933) Prec@5 65.000 (67.699) Epoch: [25][7830/11272] Time 0.755 (0.817) Data 0.001 (0.002) Loss 2.6894 (2.5967) Prec@1 33.750 (36.933) Prec@5 62.500 (67.698) Epoch: [25][7840/11272] Time 0.862 (0.817) Data 0.001 (0.002) Loss 2.6806 (2.5967) Prec@1 35.625 (36.932) Prec@5 63.750 (67.697) Epoch: [25][7850/11272] Time 0.847 (0.817) Data 0.001 (0.002) Loss 2.7812 (2.5968) Prec@1 32.500 (36.930) Prec@5 63.750 (67.696) Epoch: [25][7860/11272] Time 0.747 (0.817) Data 0.001 (0.002) Loss 2.5985 (2.5969) Prec@1 38.125 (36.930) Prec@5 63.125 (67.693) Epoch: [25][7870/11272] Time 0.869 (0.817) Data 0.002 (0.002) Loss 2.8338 (2.5969) Prec@1 31.875 (36.930) Prec@5 61.250 (67.693) Epoch: [25][7880/11272] Time 0.871 (0.817) Data 0.002 (0.002) Loss 2.6373 (2.5969) Prec@1 40.000 (36.930) Prec@5 60.000 (67.692) Epoch: [25][7890/11272] Time 0.794 (0.817) Data 0.001 (0.002) Loss 2.5578 (2.5969) Prec@1 38.125 (36.932) Prec@5 67.500 (67.693) Epoch: [25][7900/11272] Time 0.743 (0.817) Data 0.001 (0.002) Loss 2.6541 (2.5969) Prec@1 36.875 (36.933) Prec@5 68.125 (67.692) Epoch: [25][7910/11272] Time 0.873 (0.817) Data 0.001 (0.002) Loss 2.8318 (2.5969) Prec@1 28.750 (36.933) Prec@5 61.250 (67.691) Epoch: [25][7920/11272] Time 0.883 (0.817) Data 0.002 (0.002) Loss 2.6650 (2.5969) Prec@1 33.750 (36.933) Prec@5 68.125 (67.692) Epoch: [25][7930/11272] Time 0.788 (0.817) Data 0.001 (0.002) Loss 2.4437 (2.5970) Prec@1 39.375 (36.933) Prec@5 72.500 (67.689) Epoch: [25][7940/11272] Time 0.723 (0.817) Data 0.001 (0.002) Loss 2.6395 (2.5969) Prec@1 32.500 (36.932) Prec@5 65.000 (67.690) Epoch: [25][7950/11272] Time 0.839 (0.817) Data 0.001 (0.002) Loss 2.6486 (2.5970) Prec@1 38.125 (36.931) Prec@5 65.000 (67.689) Epoch: [25][7960/11272] Time 0.829 (0.817) Data 0.001 (0.002) Loss 2.6192 (2.5970) Prec@1 33.750 (36.930) Prec@5 70.625 (67.689) Epoch: [25][7970/11272] Time 0.777 (0.817) Data 0.002 (0.002) Loss 2.8892 (2.5970) Prec@1 28.125 (36.930) Prec@5 61.250 (67.688) Epoch: [25][7980/11272] Time 0.746 (0.817) Data 0.001 (0.002) Loss 2.7463 (2.5971) Prec@1 28.750 (36.926) Prec@5 66.250 (67.688) Epoch: [25][7990/11272] Time 0.843 (0.817) Data 0.001 (0.002) Loss 2.5415 (2.5971) Prec@1 38.750 (36.927) Prec@5 70.625 (67.689) Epoch: [25][8000/11272] Time 0.853 (0.817) Data 0.001 (0.002) Loss 2.8044 (2.5971) Prec@1 33.125 (36.927) Prec@5 63.125 (67.688) Epoch: [25][8010/11272] Time 0.798 (0.817) Data 0.001 (0.002) Loss 2.4023 (2.5971) Prec@1 45.000 (36.929) Prec@5 71.875 (67.690) Epoch: [25][8020/11272] Time 0.858 (0.817) Data 0.001 (0.002) Loss 2.4064 (2.5971) Prec@1 38.125 (36.930) Prec@5 75.000 (67.690) Epoch: [25][8030/11272] Time 0.851 (0.817) Data 0.002 (0.002) Loss 2.5236 (2.5970) Prec@1 37.500 (36.930) Prec@5 74.375 (67.691) Epoch: [25][8040/11272] Time 0.758 (0.817) Data 0.001 (0.002) Loss 2.6071 (2.5970) Prec@1 34.375 (36.931) Prec@5 70.000 (67.692) Epoch: [25][8050/11272] Time 0.723 (0.817) Data 0.001 (0.002) Loss 2.4797 (2.5970) Prec@1 40.625 (36.931) Prec@5 69.375 (67.693) Epoch: [25][8060/11272] Time 0.855 (0.817) Data 0.001 (0.002) Loss 2.5925 (2.5970) Prec@1 35.625 (36.931) Prec@5 66.250 (67.692) Epoch: [25][8070/11272] Time 0.882 (0.817) Data 0.001 (0.002) Loss 2.8035 (2.5971) Prec@1 34.375 (36.931) Prec@5 66.250 (67.692) Epoch: [25][8080/11272] Time 0.774 (0.817) Data 0.001 (0.002) Loss 2.5672 (2.5970) Prec@1 40.625 (36.933) Prec@5 71.875 (67.695) Epoch: [25][8090/11272] Time 0.737 (0.817) Data 0.001 (0.002) Loss 2.5366 (2.5970) Prec@1 40.000 (36.932) Prec@5 71.250 (67.697) Epoch: [25][8100/11272] Time 0.912 (0.817) Data 0.002 (0.002) Loss 2.4603 (2.5971) Prec@1 40.625 (36.930) Prec@5 70.625 (67.697) Epoch: [25][8110/11272] Time 0.934 (0.817) Data 0.002 (0.002) Loss 2.7903 (2.5971) Prec@1 36.875 (36.928) Prec@5 66.250 (67.695) Epoch: [25][8120/11272] Time 0.723 (0.817) Data 0.001 (0.002) Loss 2.8617 (2.5971) Prec@1 31.875 (36.927) Prec@5 63.125 (67.694) Epoch: [25][8130/11272] Time 0.745 (0.817) Data 0.001 (0.002) Loss 2.5607 (2.5972) Prec@1 31.250 (36.926) Prec@5 70.625 (67.692) Epoch: [25][8140/11272] Time 0.872 (0.817) Data 0.002 (0.002) Loss 2.5074 (2.5971) Prec@1 41.875 (36.928) Prec@5 68.125 (67.693) Epoch: [25][8150/11272] Time 0.723 (0.817) Data 0.001 (0.002) Loss 2.7225 (2.5970) Prec@1 33.125 (36.928) Prec@5 69.375 (67.695) Epoch: [25][8160/11272] Time 0.774 (0.817) Data 0.002 (0.002) Loss 2.5296 (2.5970) Prec@1 33.750 (36.931) Prec@5 69.375 (67.694) Epoch: [25][8170/11272] Time 0.846 (0.817) Data 0.002 (0.002) Loss 2.5685 (2.5969) Prec@1 40.625 (36.933) Prec@5 66.875 (67.694) Epoch: [25][8180/11272] Time 0.868 (0.817) Data 0.002 (0.002) Loss 2.7569 (2.5970) Prec@1 33.750 (36.933) Prec@5 66.875 (67.695) Epoch: [25][8190/11272] Time 0.781 (0.817) Data 0.001 (0.002) Loss 2.7688 (2.5969) Prec@1 35.000 (36.933) Prec@5 64.375 (67.696) Epoch: [25][8200/11272] Time 0.750 (0.817) Data 0.002 (0.002) Loss 2.7007 (2.5969) Prec@1 36.250 (36.935) Prec@5 66.250 (67.698) Epoch: [25][8210/11272] Time 0.834 (0.817) Data 0.001 (0.002) Loss 2.4329 (2.5970) Prec@1 36.250 (36.933) Prec@5 68.125 (67.696) Epoch: [25][8220/11272] Time 0.863 (0.817) Data 0.001 (0.002) Loss 2.6716 (2.5970) Prec@1 41.250 (36.932) Prec@5 67.500 (67.695) Epoch: [25][8230/11272] Time 0.742 (0.817) Data 0.001 (0.002) Loss 2.6137 (2.5971) Prec@1 38.125 (36.932) Prec@5 69.375 (67.694) Epoch: [25][8240/11272] Time 0.722 (0.817) Data 0.001 (0.002) Loss 2.5764 (2.5972) Prec@1 36.250 (36.932) Prec@5 70.625 (67.692) Epoch: [25][8250/11272] Time 0.853 (0.817) Data 0.001 (0.002) Loss 2.5611 (2.5972) Prec@1 36.250 (36.931) Prec@5 68.750 (67.694) Epoch: [25][8260/11272] Time 0.832 (0.817) Data 0.001 (0.002) Loss 2.7453 (2.5972) Prec@1 32.500 (36.929) Prec@5 66.875 (67.693) Epoch: [25][8270/11272] Time 0.780 (0.817) Data 0.002 (0.002) Loss 2.7171 (2.5972) Prec@1 34.375 (36.929) Prec@5 65.625 (67.695) Epoch: [25][8280/11272] Time 0.846 (0.817) Data 0.001 (0.002) Loss 2.5525 (2.5972) Prec@1 37.500 (36.931) Prec@5 68.125 (67.694) Epoch: [25][8290/11272] Time 0.893 (0.817) Data 0.002 (0.002) Loss 2.6029 (2.5973) Prec@1 36.250 (36.930) Prec@5 67.500 (67.692) Epoch: [25][8300/11272] Time 0.743 (0.817) Data 0.001 (0.002) Loss 2.6405 (2.5973) Prec@1 36.250 (36.930) Prec@5 66.875 (67.691) Epoch: [25][8310/11272] Time 0.734 (0.817) Data 0.001 (0.002) Loss 2.9153 (2.5974) Prec@1 33.750 (36.929) Prec@5 63.750 (67.691) Epoch: [25][8320/11272] Time 0.918 (0.817) Data 0.001 (0.002) Loss 2.6006 (2.5974) Prec@1 36.875 (36.929) Prec@5 65.625 (67.692) Epoch: [25][8330/11272] Time 0.900 (0.817) Data 0.001 (0.002) Loss 2.6627 (2.5974) Prec@1 37.500 (36.931) Prec@5 67.500 (67.693) Epoch: [25][8340/11272] Time 0.758 (0.817) Data 0.002 (0.002) Loss 2.6803 (2.5974) Prec@1 38.125 (36.929) Prec@5 64.375 (67.692) Epoch: [25][8350/11272] Time 0.730 (0.817) Data 0.001 (0.002) Loss 2.3903 (2.5973) Prec@1 40.625 (36.930) Prec@5 68.125 (67.692) Epoch: [25][8360/11272] Time 0.877 (0.817) Data 0.001 (0.002) Loss 2.5848 (2.5974) Prec@1 38.750 (36.929) Prec@5 67.500 (67.692) Epoch: [25][8370/11272] Time 0.926 (0.817) Data 0.002 (0.002) Loss 2.2304 (2.5975) Prec@1 45.625 (36.929) Prec@5 71.250 (67.691) Epoch: [25][8380/11272] Time 0.769 (0.817) Data 0.002 (0.002) Loss 2.7142 (2.5974) Prec@1 35.000 (36.929) Prec@5 63.750 (67.691) Epoch: [25][8390/11272] Time 0.767 (0.817) Data 0.001 (0.002) Loss 2.3731 (2.5973) Prec@1 45.000 (36.930) Prec@5 69.375 (67.694) Epoch: [25][8400/11272] Time 0.874 (0.817) Data 0.002 (0.002) Loss 2.6699 (2.5974) Prec@1 36.250 (36.931) Prec@5 60.625 (67.694) Epoch: [25][8410/11272] Time 0.724 (0.817) Data 0.003 (0.002) Loss 2.7416 (2.5974) Prec@1 33.125 (36.931) Prec@5 61.250 (67.691) Epoch: [25][8420/11272] Time 0.732 (0.817) Data 0.002 (0.002) Loss 2.5358 (2.5975) Prec@1 39.375 (36.930) Prec@5 68.750 (67.692) Epoch: [25][8430/11272] Time 0.873 (0.817) Data 0.001 (0.002) Loss 2.3754 (2.5974) Prec@1 43.125 (36.934) Prec@5 70.000 (67.693) Epoch: [25][8440/11272] Time 0.844 (0.817) Data 0.001 (0.002) Loss 2.5047 (2.5974) Prec@1 36.250 (36.933) Prec@5 68.125 (67.692) Epoch: [25][8450/11272] Time 0.748 (0.817) Data 0.001 (0.002) Loss 2.4058 (2.5974) Prec@1 41.250 (36.936) Prec@5 68.750 (67.691) Epoch: [25][8460/11272] Time 0.724 (0.817) Data 0.001 (0.002) Loss 2.6855 (2.5975) Prec@1 32.500 (36.932) Prec@5 70.000 (67.689) Epoch: [25][8470/11272] Time 0.883 (0.817) Data 0.002 (0.002) Loss 2.6857 (2.5976) Prec@1 38.125 (36.932) Prec@5 62.500 (67.686) Epoch: [25][8480/11272] Time 0.858 (0.817) Data 0.001 (0.002) Loss 2.5207 (2.5976) Prec@1 40.625 (36.933) Prec@5 66.875 (67.684) Epoch: [25][8490/11272] Time 0.733 (0.817) Data 0.001 (0.002) Loss 3.0616 (2.5976) Prec@1 30.000 (36.932) Prec@5 58.750 (67.686) Epoch: [25][8500/11272] Time 0.726 (0.817) Data 0.001 (0.002) Loss 2.4547 (2.5976) Prec@1 40.000 (36.930) Prec@5 70.000 (67.685) Epoch: [25][8510/11272] Time 0.841 (0.817) Data 0.001 (0.002) Loss 2.8021 (2.5976) Prec@1 36.875 (36.929) Prec@5 62.500 (67.684) Epoch: [25][8520/11272] Time 0.865 (0.817) Data 0.001 (0.002) Loss 2.4984 (2.5976) Prec@1 36.875 (36.929) Prec@5 68.750 (67.685) Epoch: [25][8530/11272] Time 0.731 (0.817) Data 0.001 (0.002) Loss 2.4852 (2.5976) Prec@1 38.750 (36.930) Prec@5 67.500 (67.683) Epoch: [25][8540/11272] Time 0.898 (0.817) Data 0.001 (0.002) Loss 2.3702 (2.5977) Prec@1 35.000 (36.928) Prec@5 69.375 (67.682) Epoch: [25][8550/11272] Time 0.825 (0.817) Data 0.002 (0.002) Loss 2.6878 (2.5977) Prec@1 38.750 (36.928) Prec@5 63.750 (67.683) Epoch: [25][8560/11272] Time 0.728 (0.817) Data 0.001 (0.002) Loss 2.5250 (2.5976) Prec@1 39.375 (36.929) Prec@5 71.875 (67.684) Epoch: [25][8570/11272] Time 0.774 (0.817) Data 0.001 (0.002) Loss 2.6634 (2.5977) Prec@1 39.375 (36.928) Prec@5 65.000 (67.682) Epoch: [25][8580/11272] Time 0.928 (0.817) Data 0.001 (0.002) Loss 2.4715 (2.5978) Prec@1 41.250 (36.928) Prec@5 68.750 (67.681) Epoch: [25][8590/11272] Time 0.888 (0.817) Data 0.001 (0.002) Loss 2.7265 (2.5977) Prec@1 32.500 (36.929) Prec@5 65.000 (67.680) Epoch: [25][8600/11272] Time 0.752 (0.817) Data 0.001 (0.002) Loss 2.5242 (2.5977) Prec@1 38.750 (36.930) Prec@5 71.875 (67.681) Epoch: [25][8610/11272] Time 0.745 (0.817) Data 0.002 (0.002) Loss 2.6208 (2.5977) Prec@1 33.125 (36.928) Prec@5 71.250 (67.681) Epoch: [25][8620/11272] Time 0.857 (0.817) Data 0.001 (0.002) Loss 2.6589 (2.5977) Prec@1 35.625 (36.928) Prec@5 65.000 (67.681) Epoch: [25][8630/11272] Time 0.874 (0.817) Data 0.001 (0.002) Loss 2.6194 (2.5977) Prec@1 31.250 (36.929) Prec@5 66.875 (67.681) Epoch: [25][8640/11272] Time 0.746 (0.817) Data 0.002 (0.002) Loss 2.9736 (2.5977) Prec@1 30.625 (36.928) Prec@5 61.250 (67.680) Epoch: [25][8650/11272] Time 0.735 (0.817) Data 0.001 (0.002) Loss 2.5758 (2.5978) Prec@1 36.875 (36.927) Prec@5 68.125 (67.679) Epoch: [25][8660/11272] Time 0.845 (0.817) Data 0.001 (0.002) Loss 2.5261 (2.5977) Prec@1 36.875 (36.927) Prec@5 73.750 (67.681) Epoch: [25][8670/11272] Time 0.729 (0.817) Data 0.003 (0.002) Loss 2.8248 (2.5978) Prec@1 31.875 (36.927) Prec@5 65.625 (67.680) Epoch: [25][8680/11272] Time 0.742 (0.817) Data 0.001 (0.002) Loss 2.5524 (2.5978) Prec@1 41.250 (36.926) Prec@5 69.375 (67.680) Epoch: [25][8690/11272] Time 0.835 (0.817) Data 0.001 (0.002) Loss 2.4753 (2.5978) Prec@1 42.500 (36.924) Prec@5 72.500 (67.680) Epoch: [25][8700/11272] Time 0.947 (0.817) Data 0.002 (0.002) Loss 2.4644 (2.5977) Prec@1 36.250 (36.927) Prec@5 73.125 (67.682) Epoch: [25][8710/11272] Time 0.749 (0.817) Data 0.002 (0.002) Loss 2.6371 (2.5977) Prec@1 33.125 (36.927) Prec@5 66.250 (67.683) Epoch: [25][8720/11272] Time 0.785 (0.817) Data 0.002 (0.002) Loss 2.8413 (2.5976) Prec@1 33.125 (36.929) Prec@5 64.375 (67.684) Epoch: [25][8730/11272] Time 0.827 (0.817) Data 0.001 (0.002) Loss 2.7346 (2.5976) Prec@1 33.750 (36.926) Prec@5 68.125 (67.684) Epoch: [25][8740/11272] Time 0.838 (0.817) Data 0.001 (0.002) Loss 2.4077 (2.5975) Prec@1 38.750 (36.928) Prec@5 75.625 (67.686) Epoch: [25][8750/11272] Time 0.735 (0.817) Data 0.001 (0.002) Loss 2.4891 (2.5974) Prec@1 40.000 (36.930) Prec@5 68.750 (67.691) Epoch: [25][8760/11272] Time 0.757 (0.817) Data 0.001 (0.002) Loss 2.6160 (2.5974) Prec@1 39.375 (36.931) Prec@5 70.625 (67.691) Epoch: [25][8770/11272] Time 0.902 (0.817) Data 0.001 (0.002) Loss 2.5441 (2.5975) Prec@1 35.625 (36.928) Prec@5 65.000 (67.689) Epoch: [25][8780/11272] Time 0.875 (0.817) Data 0.002 (0.002) Loss 2.8131 (2.5975) Prec@1 33.125 (36.926) Prec@5 61.250 (67.688) Epoch: [25][8790/11272] Time 0.783 (0.817) Data 0.002 (0.002) Loss 2.6081 (2.5975) Prec@1 34.375 (36.929) Prec@5 65.000 (67.689) Epoch: [25][8800/11272] Time 0.818 (0.817) Data 0.001 (0.002) Loss 2.4348 (2.5975) Prec@1 43.750 (36.927) Prec@5 67.500 (67.688) Epoch: [25][8810/11272] Time 0.877 (0.817) Data 0.001 (0.002) Loss 2.6215 (2.5976) Prec@1 35.000 (36.926) Prec@5 66.250 (67.686) Epoch: [25][8820/11272] Time 0.731 (0.817) Data 0.002 (0.002) Loss 2.7636 (2.5977) Prec@1 39.375 (36.927) Prec@5 66.250 (67.685) Epoch: [25][8830/11272] Time 0.771 (0.817) Data 0.001 (0.002) Loss 2.6253 (2.5977) Prec@1 31.250 (36.926) Prec@5 68.125 (67.685) Epoch: [25][8840/11272] Time 0.840 (0.817) Data 0.001 (0.002) Loss 2.6098 (2.5977) Prec@1 33.125 (36.924) Prec@5 65.000 (67.686) Epoch: [25][8850/11272] Time 0.849 (0.817) Data 0.002 (0.002) Loss 2.2878 (2.5976) Prec@1 42.500 (36.925) Prec@5 76.250 (67.688) Epoch: [25][8860/11272] Time 0.752 (0.817) Data 0.002 (0.002) Loss 2.5675 (2.5976) Prec@1 39.375 (36.925) Prec@5 70.625 (67.688) Epoch: [25][8870/11272] Time 0.747 (0.817) Data 0.002 (0.002) Loss 2.4975 (2.5976) Prec@1 33.750 (36.927) Prec@5 68.125 (67.689) Epoch: [25][8880/11272] Time 0.850 (0.817) Data 0.001 (0.002) Loss 2.8655 (2.5977) Prec@1 33.750 (36.925) Prec@5 65.000 (67.689) Epoch: [25][8890/11272] Time 0.868 (0.817) Data 0.002 (0.002) Loss 2.7130 (2.5977) Prec@1 31.875 (36.925) Prec@5 65.625 (67.687) Epoch: [25][8900/11272] Time 0.748 (0.817) Data 0.002 (0.002) Loss 2.7732 (2.5978) Prec@1 35.625 (36.924) Prec@5 61.250 (67.686) Epoch: [25][8910/11272] Time 0.778 (0.817) Data 0.002 (0.002) Loss 2.6373 (2.5978) Prec@1 33.750 (36.923) Prec@5 66.250 (67.685) Epoch: [25][8920/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.8057 (2.5979) Prec@1 35.625 (36.922) Prec@5 64.375 (67.684) Epoch: [25][8930/11272] Time 0.888 (0.817) Data 0.001 (0.002) Loss 2.7833 (2.5979) Prec@1 38.125 (36.923) Prec@5 63.125 (67.684) Epoch: [25][8940/11272] Time 0.764 (0.817) Data 0.001 (0.002) Loss 2.6189 (2.5979) Prec@1 31.250 (36.924) Prec@5 71.875 (67.685) Epoch: [25][8950/11272] Time 0.938 (0.817) Data 0.001 (0.002) Loss 2.4530 (2.5978) Prec@1 36.250 (36.924) Prec@5 70.625 (67.686) Epoch: [25][8960/11272] Time 0.900 (0.817) Data 0.002 (0.002) Loss 2.4397 (2.5978) Prec@1 38.125 (36.924) Prec@5 70.000 (67.687) Epoch: [25][8970/11272] Time 0.734 (0.817) Data 0.002 (0.002) Loss 2.3705 (2.5978) Prec@1 42.500 (36.924) Prec@5 75.000 (67.687) Epoch: [25][8980/11272] Time 0.780 (0.817) Data 0.001 (0.002) Loss 2.5343 (2.5978) Prec@1 37.500 (36.924) Prec@5 70.000 (67.688) Epoch: [25][8990/11272] Time 0.892 (0.817) Data 0.001 (0.002) Loss 2.7080 (2.5978) Prec@1 38.125 (36.926) Prec@5 64.375 (67.689) Epoch: [25][9000/11272] Time 0.853 (0.817) Data 0.001 (0.002) Loss 2.7727 (2.5979) Prec@1 35.000 (36.926) Prec@5 65.625 (67.688) Epoch: [25][9010/11272] Time 0.742 (0.817) Data 0.002 (0.002) Loss 2.5291 (2.5979) Prec@1 40.625 (36.926) Prec@5 70.000 (67.687) Epoch: [25][9020/11272] Time 0.738 (0.817) Data 0.001 (0.002) Loss 2.5925 (2.5978) Prec@1 36.250 (36.927) Prec@5 68.125 (67.689) Epoch: [25][9030/11272] Time 0.915 (0.817) Data 0.001 (0.002) Loss 2.9358 (2.5978) Prec@1 33.125 (36.928) Prec@5 60.625 (67.687) Epoch: [25][9040/11272] Time 0.884 (0.817) Data 0.001 (0.002) Loss 2.7444 (2.5977) Prec@1 32.500 (36.929) Prec@5 63.750 (67.687) Epoch: [25][9050/11272] Time 0.820 (0.817) Data 0.001 (0.002) Loss 2.4708 (2.5977) Prec@1 36.875 (36.929) Prec@5 70.000 (67.686) Epoch: [25][9060/11272] Time 0.783 (0.817) Data 0.002 (0.002) Loss 2.7597 (2.5977) Prec@1 39.375 (36.928) Prec@5 65.000 (67.686) Epoch: [25][9070/11272] Time 0.887 (0.817) Data 0.001 (0.002) Loss 2.6694 (2.5978) Prec@1 36.250 (36.926) Prec@5 70.625 (67.684) Epoch: [25][9080/11272] Time 0.756 (0.817) Data 0.001 (0.002) Loss 2.4312 (2.5978) Prec@1 45.625 (36.927) Prec@5 72.500 (67.684) Epoch: [25][9090/11272] Time 0.821 (0.817) Data 0.001 (0.002) Loss 2.7122 (2.5979) Prec@1 38.125 (36.924) Prec@5 64.375 (67.681) Epoch: [25][9100/11272] Time 0.842 (0.817) Data 0.001 (0.002) Loss 2.4597 (2.5979) Prec@1 35.000 (36.924) Prec@5 66.875 (67.682) Epoch: [25][9110/11272] Time 0.866 (0.817) Data 0.001 (0.002) Loss 2.4887 (2.5980) Prec@1 37.500 (36.923) Prec@5 68.125 (67.681) Epoch: [25][9120/11272] Time 0.763 (0.817) Data 0.001 (0.002) Loss 2.3273 (2.5980) Prec@1 40.625 (36.923) Prec@5 70.625 (67.681) Epoch: [25][9130/11272] Time 0.720 (0.817) Data 0.001 (0.002) Loss 2.7794 (2.5980) Prec@1 31.875 (36.922) Prec@5 63.125 (67.678) Epoch: [25][9140/11272] Time 0.855 (0.817) Data 0.001 (0.002) Loss 3.0561 (2.5981) Prec@1 28.750 (36.920) Prec@5 60.625 (67.676) Epoch: [25][9150/11272] Time 0.900 (0.817) Data 0.001 (0.002) Loss 2.5315 (2.5982) Prec@1 35.000 (36.918) Prec@5 70.625 (67.675) Epoch: [25][9160/11272] Time 0.758 (0.817) Data 0.001 (0.002) Loss 2.4352 (2.5982) Prec@1 41.250 (36.919) Prec@5 73.750 (67.674) Epoch: [25][9170/11272] Time 0.761 (0.817) Data 0.002 (0.002) Loss 2.5962 (2.5983) Prec@1 36.875 (36.918) Prec@5 63.750 (67.673) Epoch: [25][9180/11272] Time 0.929 (0.817) Data 0.002 (0.002) Loss 2.4997 (2.5983) Prec@1 41.875 (36.917) Prec@5 73.125 (67.672) Epoch: [25][9190/11272] Time 0.859 (0.817) Data 0.001 (0.002) Loss 2.5922 (2.5983) Prec@1 38.750 (36.918) Prec@5 67.500 (67.673) Epoch: [25][9200/11272] Time 0.783 (0.817) Data 0.001 (0.002) Loss 2.6082 (2.5983) Prec@1 37.500 (36.918) Prec@5 64.375 (67.671) Epoch: [25][9210/11272] Time 0.879 (0.817) Data 0.001 (0.002) Loss 2.5143 (2.5983) Prec@1 38.125 (36.918) Prec@5 72.500 (67.671) Epoch: [25][9220/11272] Time 0.839 (0.817) Data 0.001 (0.002) Loss 2.7528 (2.5982) Prec@1 33.125 (36.920) Prec@5 57.500 (67.673) Epoch: [25][9230/11272] Time 0.735 (0.817) Data 0.001 (0.002) Loss 2.3505 (2.5981) Prec@1 44.375 (36.922) Prec@5 72.500 (67.673) Epoch: [25][9240/11272] Time 0.774 (0.817) Data 0.002 (0.002) Loss 2.5602 (2.5981) Prec@1 35.000 (36.922) Prec@5 66.250 (67.674) Epoch: [25][9250/11272] Time 0.877 (0.817) Data 0.001 (0.002) Loss 2.4538 (2.5980) Prec@1 35.000 (36.924) Prec@5 68.750 (67.676) Epoch: [25][9260/11272] Time 0.936 (0.817) Data 0.002 (0.002) Loss 2.7363 (2.5980) Prec@1 30.625 (36.923) Prec@5 64.375 (67.676) Epoch: [25][9270/11272] Time 0.755 (0.817) Data 0.001 (0.002) Loss 2.8416 (2.5980) Prec@1 31.250 (36.923) Prec@5 62.500 (67.678) Epoch: [25][9280/11272] Time 0.751 (0.817) Data 0.002 (0.002) Loss 2.5206 (2.5979) Prec@1 36.250 (36.923) Prec@5 71.250 (67.679) Epoch: [25][9290/11272] Time 0.873 (0.817) Data 0.002 (0.002) Loss 2.6009 (2.5979) Prec@1 34.375 (36.923) Prec@5 68.750 (67.679) Epoch: [25][9300/11272] Time 0.903 (0.817) Data 0.001 (0.002) Loss 2.6174 (2.5979) Prec@1 36.875 (36.923) Prec@5 68.125 (67.679) Epoch: [25][9310/11272] Time 0.774 (0.817) Data 0.001 (0.002) Loss 2.3147 (2.5978) Prec@1 38.750 (36.924) Prec@5 75.625 (67.681) Epoch: [25][9320/11272] Time 0.762 (0.817) Data 0.001 (0.002) Loss 2.5476 (2.5978) Prec@1 38.125 (36.925) Prec@5 65.625 (67.682) Epoch: [25][9330/11272] Time 0.875 (0.817) Data 0.002 (0.002) Loss 2.6593 (2.5978) Prec@1 30.000 (36.922) Prec@5 71.875 (67.683) Epoch: [25][9340/11272] Time 0.804 (0.817) Data 0.005 (0.002) Loss 2.4273 (2.5978) Prec@1 41.875 (36.921) Prec@5 71.250 (67.681) Epoch: [25][9350/11272] Time 0.719 (0.817) Data 0.001 (0.002) Loss 2.3379 (2.5978) Prec@1 42.500 (36.921) Prec@5 77.500 (67.682) Epoch: [25][9360/11272] Time 0.900 (0.817) Data 0.001 (0.002) Loss 2.6483 (2.5979) Prec@1 40.625 (36.919) Prec@5 66.250 (67.681) Epoch: [25][9370/11272] Time 0.913 (0.817) Data 0.002 (0.002) Loss 2.5796 (2.5979) Prec@1 38.125 (36.920) Prec@5 67.500 (67.682) Epoch: [25][9380/11272] Time 0.790 (0.817) Data 0.001 (0.002) Loss 2.6969 (2.5980) Prec@1 35.625 (36.918) Prec@5 62.500 (67.679) Epoch: [25][9390/11272] Time 0.816 (0.817) Data 0.002 (0.002) Loss 2.4986 (2.5980) Prec@1 33.750 (36.914) Prec@5 68.125 (67.678) Epoch: [25][9400/11272] Time 0.854 (0.817) Data 0.001 (0.002) Loss 2.5604 (2.5981) Prec@1 38.125 (36.914) Prec@5 70.000 (67.678) Epoch: [25][9410/11272] Time 0.838 (0.817) Data 0.001 (0.002) Loss 2.6426 (2.5981) Prec@1 36.875 (36.914) Prec@5 66.250 (67.678) Epoch: [25][9420/11272] Time 0.786 (0.817) Data 0.002 (0.002) Loss 2.5368 (2.5983) Prec@1 38.750 (36.912) Prec@5 70.625 (67.673) Epoch: [25][9430/11272] Time 0.750 (0.817) Data 0.001 (0.002) Loss 2.4792 (2.5983) Prec@1 38.125 (36.911) Prec@5 70.000 (67.675) Epoch: [25][9440/11272] Time 0.822 (0.817) Data 0.001 (0.002) Loss 2.5366 (2.5982) Prec@1 40.625 (36.913) Prec@5 71.250 (67.676) Epoch: [25][9450/11272] Time 0.918 (0.817) Data 0.002 (0.002) Loss 2.4516 (2.5982) Prec@1 35.625 (36.912) Prec@5 74.375 (67.678) Epoch: [25][9460/11272] Time 0.756 (0.817) Data 0.002 (0.002) Loss 2.7406 (2.5982) Prec@1 36.875 (36.914) Prec@5 64.375 (67.678) Epoch: [25][9470/11272] Time 0.851 (0.817) Data 0.002 (0.002) Loss 2.3593 (2.5981) Prec@1 41.250 (36.915) Prec@5 70.000 (67.678) Epoch: [25][9480/11272] Time 0.862 (0.817) Data 0.001 (0.002) Loss 2.5618 (2.5981) Prec@1 40.000 (36.918) Prec@5 70.000 (67.678) Epoch: [25][9490/11272] Time 0.757 (0.817) Data 0.002 (0.002) Loss 2.6193 (2.5981) Prec@1 38.125 (36.917) Prec@5 67.500 (67.678) Epoch: [25][9500/11272] Time 0.748 (0.817) Data 0.002 (0.002) Loss 2.6893 (2.5980) Prec@1 30.625 (36.917) Prec@5 68.125 (67.679) Epoch: [25][9510/11272] Time 0.908 (0.817) Data 0.002 (0.002) Loss 2.3409 (2.5981) Prec@1 42.500 (36.917) Prec@5 73.125 (67.677) Epoch: [25][9520/11272] Time 0.925 (0.817) Data 0.002 (0.002) Loss 2.5288 (2.5981) Prec@1 38.750 (36.916) Prec@5 64.375 (67.677) Epoch: [25][9530/11272] Time 0.739 (0.817) Data 0.001 (0.002) Loss 2.6697 (2.5982) Prec@1 30.000 (36.915) Prec@5 66.875 (67.676) Epoch: [25][9540/11272] Time 0.732 (0.817) Data 0.002 (0.002) Loss 2.4846 (2.5981) Prec@1 40.625 (36.915) Prec@5 70.000 (67.677) Epoch: [25][9550/11272] Time 0.837 (0.817) Data 0.001 (0.002) Loss 2.3216 (2.5981) Prec@1 45.000 (36.916) Prec@5 71.875 (67.678) Epoch: [25][9560/11272] Time 0.873 (0.817) Data 0.001 (0.002) Loss 2.3780 (2.5980) Prec@1 42.500 (36.918) Prec@5 69.375 (67.679) Epoch: [25][9570/11272] Time 0.813 (0.817) Data 0.001 (0.002) Loss 2.8220 (2.5980) Prec@1 27.500 (36.919) Prec@5 63.750 (67.679) Epoch: [25][9580/11272] Time 0.745 (0.817) Data 0.001 (0.002) Loss 2.4477 (2.5979) Prec@1 41.250 (36.920) Prec@5 71.250 (67.681) Epoch: [25][9590/11272] Time 0.822 (0.817) Data 0.001 (0.002) Loss 2.4910 (2.5980) Prec@1 41.250 (36.920) Prec@5 69.375 (67.679) Epoch: [25][9600/11272] Time 0.774 (0.817) Data 0.003 (0.002) Loss 2.5883 (2.5980) Prec@1 39.375 (36.920) Prec@5 63.125 (67.678) Epoch: [25][9610/11272] Time 0.822 (0.817) Data 0.002 (0.002) Loss 2.5639 (2.5980) Prec@1 33.750 (36.919) Prec@5 68.750 (67.678) Epoch: [25][9620/11272] Time 0.860 (0.817) Data 0.001 (0.002) Loss 2.4806 (2.5980) Prec@1 38.750 (36.918) Prec@5 70.000 (67.678) Epoch: [25][9630/11272] Time 0.874 (0.817) Data 0.002 (0.002) Loss 2.6511 (2.5980) Prec@1 37.500 (36.919) Prec@5 65.000 (67.678) Epoch: [25][9640/11272] Time 0.757 (0.817) Data 0.002 (0.002) Loss 2.5628 (2.5979) Prec@1 33.750 (36.919) Prec@5 69.375 (67.679) Epoch: [25][9650/11272] Time 0.757 (0.817) Data 0.002 (0.002) Loss 2.5880 (2.5980) Prec@1 35.625 (36.918) Prec@5 67.500 (67.679) Epoch: [25][9660/11272] Time 0.882 (0.817) Data 0.002 (0.002) Loss 2.4877 (2.5980) Prec@1 38.750 (36.918) Prec@5 69.375 (67.677) Epoch: [25][9670/11272] Time 0.846 (0.817) Data 0.001 (0.002) Loss 2.5957 (2.5980) Prec@1 40.000 (36.917) Prec@5 68.750 (67.677) Epoch: [25][9680/11272] Time 0.794 (0.817) Data 0.001 (0.002) Loss 2.5053 (2.5980) Prec@1 33.125 (36.918) Prec@5 71.875 (67.677) Epoch: [25][9690/11272] Time 0.786 (0.817) Data 0.001 (0.002) Loss 2.2012 (2.5980) Prec@1 40.625 (36.916) Prec@5 80.000 (67.675) Epoch: [25][9700/11272] Time 0.872 (0.817) Data 0.001 (0.002) Loss 2.6826 (2.5980) Prec@1 35.625 (36.917) Prec@5 68.750 (67.677) Epoch: [25][9710/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.5034 (2.5981) Prec@1 38.125 (36.915) Prec@5 71.875 (67.674) Epoch: [25][9720/11272] Time 0.778 (0.817) Data 0.002 (0.002) Loss 2.5833 (2.5981) Prec@1 41.875 (36.915) Prec@5 66.250 (67.675) Epoch: [25][9730/11272] Time 0.882 (0.817) Data 0.002 (0.002) Loss 2.4402 (2.5981) Prec@1 40.000 (36.915) Prec@5 71.250 (67.675) Epoch: [25][9740/11272] Time 0.897 (0.817) Data 0.002 (0.002) Loss 2.7469 (2.5981) Prec@1 33.750 (36.915) Prec@5 68.750 (67.675) Epoch: [25][9750/11272] Time 0.806 (0.817) Data 0.001 (0.002) Loss 2.6348 (2.5981) Prec@1 35.625 (36.916) Prec@5 66.875 (67.675) Epoch: [25][9760/11272] Time 0.789 (0.817) Data 0.001 (0.002) Loss 2.4164 (2.5981) Prec@1 40.000 (36.916) Prec@5 68.125 (67.675) Epoch: [25][9770/11272] Time 0.870 (0.817) Data 0.001 (0.002) Loss 2.5293 (2.5980) Prec@1 38.125 (36.917) Prec@5 68.125 (67.676) Epoch: [25][9780/11272] Time 0.864 (0.817) Data 0.002 (0.002) Loss 2.5605 (2.5980) Prec@1 39.375 (36.919) Prec@5 65.625 (67.676) Epoch: [25][9790/11272] Time 0.784 (0.817) Data 0.002 (0.002) Loss 2.7657 (2.5981) Prec@1 35.000 (36.916) Prec@5 62.500 (67.675) Epoch: [25][9800/11272] Time 0.745 (0.817) Data 0.002 (0.002) Loss 2.4589 (2.5981) Prec@1 38.125 (36.916) Prec@5 72.500 (67.675) Epoch: [25][9810/11272] Time 0.925 (0.817) Data 0.001 (0.002) Loss 2.7227 (2.5982) Prec@1 39.375 (36.914) Prec@5 65.000 (67.674) Epoch: [25][9820/11272] Time 0.861 (0.817) Data 0.001 (0.002) Loss 2.4632 (2.5982) Prec@1 38.750 (36.913) Prec@5 71.250 (67.673) Epoch: [25][9830/11272] Time 0.733 (0.817) Data 0.001 (0.002) Loss 2.6861 (2.5983) Prec@1 31.875 (36.911) Prec@5 67.500 (67.671) Epoch: [25][9840/11272] Time 0.768 (0.817) Data 0.001 (0.002) Loss 2.4555 (2.5982) Prec@1 40.625 (36.912) Prec@5 66.875 (67.672) Epoch: [25][9850/11272] Time 0.886 (0.817) Data 0.001 (0.002) Loss 2.6631 (2.5982) Prec@1 32.500 (36.913) Prec@5 65.625 (67.672) Epoch: [25][9860/11272] Time 0.847 (0.817) Data 0.001 (0.002) Loss 2.5442 (2.5983) Prec@1 38.750 (36.911) Prec@5 64.375 (67.671) Epoch: [25][9870/11272] Time 0.785 (0.817) Data 0.001 (0.002) Loss 2.6006 (2.5982) Prec@1 38.125 (36.912) Prec@5 66.875 (67.673) Epoch: [25][9880/11272] Time 0.838 (0.817) Data 0.001 (0.002) Loss 2.7147 (2.5982) Prec@1 30.000 (36.912) Prec@5 65.000 (67.672) Epoch: [25][9890/11272] Time 0.875 (0.817) Data 0.001 (0.002) Loss 2.8962 (2.5982) Prec@1 32.500 (36.912) Prec@5 60.625 (67.671) Epoch: [25][9900/11272] Time 0.742 (0.817) Data 0.002 (0.002) Loss 2.6983 (2.5983) Prec@1 35.625 (36.912) Prec@5 64.375 (67.671) Epoch: [25][9910/11272] Time 0.734 (0.817) Data 0.001 (0.002) Loss 2.7905 (2.5983) Prec@1 31.875 (36.912) Prec@5 63.750 (67.669) Epoch: [25][9920/11272] Time 0.840 (0.817) Data 0.001 (0.002) Loss 2.6968 (2.5984) Prec@1 35.000 (36.910) Prec@5 63.750 (67.668) Epoch: [25][9930/11272] Time 0.885 (0.817) Data 0.002 (0.002) Loss 2.7712 (2.5984) Prec@1 35.625 (36.910) Prec@5 62.500 (67.668) Epoch: [25][9940/11272] Time 0.748 (0.817) Data 0.001 (0.002) Loss 2.6145 (2.5984) Prec@1 39.375 (36.909) Prec@5 68.750 (67.665) Epoch: [25][9950/11272] Time 0.770 (0.817) Data 0.001 (0.002) Loss 2.7571 (2.5985) Prec@1 29.375 (36.908) Prec@5 65.000 (67.664) Epoch: [25][9960/11272] Time 0.857 (0.817) Data 0.002 (0.002) Loss 2.6255 (2.5986) Prec@1 37.500 (36.907) Prec@5 68.750 (67.663) Epoch: [25][9970/11272] Time 0.864 (0.817) Data 0.002 (0.002) Loss 2.8641 (2.5986) Prec@1 30.625 (36.906) Prec@5 63.750 (67.663) Epoch: [25][9980/11272] Time 0.748 (0.817) Data 0.001 (0.002) Loss 2.7246 (2.5986) Prec@1 33.125 (36.907) Prec@5 65.000 (67.662) Epoch: [25][9990/11272] Time 0.728 (0.817) Data 0.001 (0.002) Loss 2.7524 (2.5985) Prec@1 36.250 (36.908) Prec@5 63.125 (67.663) Epoch: [25][10000/11272] Time 0.893 (0.817) Data 0.002 (0.002) Loss 2.4810 (2.5985) Prec@1 38.750 (36.907) Prec@5 70.000 (67.663) Epoch: [25][10010/11272] Time 0.767 (0.817) Data 0.001 (0.002) Loss 2.4240 (2.5985) Prec@1 37.500 (36.908) Prec@5 71.875 (67.664) Epoch: [25][10020/11272] Time 0.744 (0.817) Data 0.002 (0.002) Loss 2.5138 (2.5985) Prec@1 37.500 (36.910) Prec@5 73.125 (67.663) Epoch: [25][10030/11272] Time 0.881 (0.817) Data 0.002 (0.002) Loss 2.7699 (2.5986) Prec@1 33.750 (36.908) Prec@5 66.875 (67.660) Epoch: [25][10040/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.6972 (2.5986) Prec@1 34.375 (36.907) Prec@5 65.625 (67.658) Epoch: [25][10050/11272] Time 0.744 (0.817) Data 0.001 (0.002) Loss 2.7364 (2.5986) Prec@1 33.750 (36.908) Prec@5 60.625 (67.658) Epoch: [25][10060/11272] Time 0.727 (0.817) Data 0.001 (0.002) Loss 2.7192 (2.5986) Prec@1 36.250 (36.908) Prec@5 63.750 (67.657) Epoch: [25][10070/11272] Time 0.918 (0.817) Data 0.002 (0.002) Loss 2.4630 (2.5986) Prec@1 41.875 (36.906) Prec@5 70.625 (67.658) Epoch: [25][10080/11272] Time 0.890 (0.817) Data 0.001 (0.002) Loss 2.8076 (2.5987) Prec@1 31.250 (36.905) Prec@5 66.250 (67.657) Epoch: [25][10090/11272] Time 0.772 (0.817) Data 0.001 (0.002) Loss 2.7367 (2.5987) Prec@1 31.250 (36.905) Prec@5 63.750 (67.658) Epoch: [25][10100/11272] Time 0.745 (0.817) Data 0.002 (0.002) Loss 2.7381 (2.5987) Prec@1 38.750 (36.905) Prec@5 64.375 (67.657) Epoch: [25][10110/11272] Time 0.856 (0.817) Data 0.001 (0.002) Loss 2.4290 (2.5987) Prec@1 44.375 (36.907) Prec@5 72.500 (67.659) Epoch: [25][10120/11272] Time 0.927 (0.817) Data 0.002 (0.002) Loss 2.6856 (2.5988) Prec@1 31.875 (36.906) Prec@5 66.250 (67.657) Epoch: [25][10130/11272] Time 0.771 (0.817) Data 0.002 (0.002) Loss 2.7178 (2.5989) Prec@1 35.625 (36.905) Prec@5 64.375 (67.654) Epoch: [25][10140/11272] Time 0.833 (0.817) Data 0.001 (0.002) Loss 2.4888 (2.5988) Prec@1 38.750 (36.905) Prec@5 71.875 (67.654) Epoch: [25][10150/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.8746 (2.5989) Prec@1 33.125 (36.904) Prec@5 63.750 (67.654) Epoch: [25][10160/11272] Time 0.806 (0.817) Data 0.001 (0.002) Loss 2.5010 (2.5988) Prec@1 39.375 (36.903) Prec@5 69.375 (67.655) Epoch: [25][10170/11272] Time 0.734 (0.817) Data 0.002 (0.002) Loss 2.3840 (2.5988) Prec@1 41.250 (36.904) Prec@5 75.625 (67.657) Epoch: [25][10180/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.7471 (2.5989) Prec@1 40.000 (36.904) Prec@5 66.250 (67.656) Epoch: [25][10190/11272] Time 0.874 (0.817) Data 0.002 (0.002) Loss 2.8023 (2.5989) Prec@1 35.000 (36.902) Prec@5 60.625 (67.655) Epoch: [25][10200/11272] Time 0.769 (0.817) Data 0.002 (0.002) Loss 2.7125 (2.5989) Prec@1 31.875 (36.902) Prec@5 70.000 (67.655) Epoch: [25][10210/11272] Time 0.752 (0.817) Data 0.001 (0.002) Loss 2.3774 (2.5989) Prec@1 43.750 (36.903) Prec@5 70.625 (67.655) Epoch: [25][10220/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.5671 (2.5989) Prec@1 36.250 (36.903) Prec@5 66.875 (67.654) Epoch: [25][10230/11272] Time 0.863 (0.817) Data 0.002 (0.002) Loss 2.4879 (2.5989) Prec@1 41.250 (36.903) Prec@5 69.375 (67.654) Epoch: [25][10240/11272] Time 0.793 (0.817) Data 0.002 (0.002) Loss 2.6627 (2.5989) Prec@1 35.000 (36.903) Prec@5 65.625 (67.653) Epoch: [25][10250/11272] Time 0.784 (0.817) Data 0.002 (0.002) Loss 2.7052 (2.5989) Prec@1 31.250 (36.903) Prec@5 61.250 (67.653) Epoch: [25][10260/11272] Time 0.909 (0.817) Data 0.002 (0.002) Loss 2.8482 (2.5989) Prec@1 31.875 (36.904) Prec@5 62.500 (67.653) Epoch: [25][10270/11272] Time 0.724 (0.817) Data 0.003 (0.002) Loss 2.6837 (2.5989) Prec@1 33.750 (36.903) Prec@5 61.875 (67.652) Epoch: [25][10280/11272] Time 0.761 (0.817) Data 0.001 (0.002) Loss 2.6096 (2.5989) Prec@1 29.375 (36.902) Prec@5 63.750 (67.651) Epoch: [25][10290/11272] Time 0.852 (0.817) Data 0.001 (0.002) Loss 2.6881 (2.5990) Prec@1 32.500 (36.899) Prec@5 64.375 (67.649) Epoch: [25][10300/11272] Time 0.853 (0.817) Data 0.001 (0.002) Loss 2.7292 (2.5990) Prec@1 34.375 (36.898) Prec@5 65.625 (67.649) Epoch: [25][10310/11272] Time 0.714 (0.817) Data 0.001 (0.002) Loss 2.2268 (2.5989) Prec@1 46.250 (36.899) Prec@5 76.875 (67.652) Epoch: [25][10320/11272] Time 0.734 (0.817) Data 0.001 (0.002) Loss 2.4687 (2.5989) Prec@1 40.000 (36.899) Prec@5 69.375 (67.651) Epoch: [25][10330/11272] Time 0.852 (0.817) Data 0.002 (0.002) Loss 2.5140 (2.5990) Prec@1 38.125 (36.900) Prec@5 72.500 (67.651) Epoch: [25][10340/11272] Time 0.892 (0.817) Data 0.001 (0.002) Loss 2.8199 (2.5990) Prec@1 32.500 (36.899) Prec@5 60.000 (67.649) Epoch: [25][10350/11272] Time 0.725 (0.817) Data 0.002 (0.002) Loss 2.6272 (2.5991) Prec@1 36.875 (36.897) Prec@5 66.875 (67.647) Epoch: [25][10360/11272] Time 0.778 (0.817) Data 0.001 (0.002) Loss 2.5582 (2.5991) Prec@1 38.750 (36.898) Prec@5 65.000 (67.647) Epoch: [25][10370/11272] Time 0.832 (0.817) Data 0.001 (0.002) Loss 2.5902 (2.5990) Prec@1 40.000 (36.900) Prec@5 66.250 (67.646) Epoch: [25][10380/11272] Time 0.886 (0.817) Data 0.001 (0.002) Loss 2.7604 (2.5991) Prec@1 33.125 (36.899) Prec@5 67.500 (67.644) Epoch: [25][10390/11272] Time 0.733 (0.817) Data 0.001 (0.002) Loss 2.6267 (2.5991) Prec@1 38.125 (36.899) Prec@5 68.750 (67.644) Epoch: [25][10400/11272] Time 0.821 (0.817) Data 0.001 (0.002) Loss 2.8207 (2.5991) Prec@1 32.500 (36.898) Prec@5 58.750 (67.643) Epoch: [25][10410/11272] Time 0.938 (0.817) Data 0.002 (0.002) Loss 2.3160 (2.5991) Prec@1 43.125 (36.899) Prec@5 71.250 (67.644) Epoch: [25][10420/11272] Time 0.803 (0.817) Data 0.001 (0.002) Loss 2.7269 (2.5992) Prec@1 34.375 (36.897) Prec@5 63.750 (67.642) Epoch: [25][10430/11272] Time 0.746 (0.817) Data 0.002 (0.002) Loss 2.5243 (2.5991) Prec@1 42.500 (36.898) Prec@5 69.375 (67.643) Epoch: [25][10440/11272] Time 0.885 (0.817) Data 0.001 (0.002) Loss 2.5583 (2.5992) Prec@1 34.375 (36.896) Prec@5 70.625 (67.644) Epoch: [25][10450/11272] Time 0.836 (0.817) Data 0.001 (0.002) Loss 2.6194 (2.5993) Prec@1 38.750 (36.895) Prec@5 68.125 (67.643) Epoch: [25][10460/11272] Time 0.779 (0.817) Data 0.002 (0.002) Loss 2.5847 (2.5993) Prec@1 32.500 (36.895) Prec@5 69.375 (67.643) Epoch: [25][10470/11272] Time 0.742 (0.817) Data 0.001 (0.002) Loss 2.5222 (2.5993) Prec@1 32.500 (36.894) Prec@5 70.625 (67.643) Epoch: [25][10480/11272] Time 0.889 (0.817) Data 0.001 (0.002) Loss 2.7421 (2.5994) Prec@1 38.750 (36.891) Prec@5 65.625 (67.643) Epoch: [25][10490/11272] Time 0.867 (0.817) Data 0.001 (0.002) Loss 2.6109 (2.5993) Prec@1 36.250 (36.892) Prec@5 64.375 (67.643) Epoch: [25][10500/11272] Time 0.738 (0.817) Data 0.001 (0.002) Loss 2.6673 (2.5993) Prec@1 33.125 (36.894) Prec@5 68.750 (67.643) Epoch: [25][10510/11272] Time 0.754 (0.817) Data 0.001 (0.002) Loss 2.7012 (2.5993) Prec@1 33.750 (36.893) Prec@5 66.875 (67.643) Epoch: [25][10520/11272] Time 0.829 (0.817) Data 0.001 (0.002) Loss 2.6492 (2.5994) Prec@1 30.000 (36.891) Prec@5 62.500 (67.641) Epoch: [25][10530/11272] Time 0.723 (0.817) Data 0.003 (0.002) Loss 2.7741 (2.5994) Prec@1 35.625 (36.890) Prec@5 62.500 (67.640) Epoch: [25][10540/11272] Time 0.766 (0.817) Data 0.002 (0.002) Loss 2.6064 (2.5994) Prec@1 39.375 (36.891) Prec@5 67.500 (67.641) Epoch: [25][10550/11272] Time 0.845 (0.817) Data 0.002 (0.002) Loss 2.4508 (2.5994) Prec@1 36.250 (36.890) Prec@5 70.625 (67.641) Epoch: [25][10560/11272] Time 0.908 (0.817) Data 0.001 (0.002) Loss 2.6284 (2.5994) Prec@1 43.125 (36.891) Prec@5 66.875 (67.640) Epoch: [25][10570/11272] Time 0.729 (0.817) Data 0.001 (0.002) Loss 2.5493 (2.5994) Prec@1 42.500 (36.891) Prec@5 70.000 (67.640) Epoch: [25][10580/11272] Time 0.770 (0.817) Data 0.001 (0.002) Loss 2.7275 (2.5994) Prec@1 33.125 (36.892) Prec@5 65.625 (67.640) Epoch: [25][10590/11272] Time 0.873 (0.817) Data 0.001 (0.002) Loss 2.3924 (2.5995) Prec@1 40.625 (36.892) Prec@5 70.000 (67.639) Epoch: [25][10600/11272] Time 0.814 (0.817) Data 0.001 (0.002) Loss 2.8818 (2.5995) Prec@1 34.375 (36.891) Prec@5 65.625 (67.638) Epoch: [25][10610/11272] Time 0.735 (0.817) Data 0.001 (0.002) Loss 2.7510 (2.5995) Prec@1 30.000 (36.891) Prec@5 63.750 (67.639) Epoch: [25][10620/11272] Time 0.738 (0.817) Data 0.001 (0.002) Loss 2.7152 (2.5995) Prec@1 36.250 (36.891) Prec@5 68.125 (67.639) Epoch: [25][10630/11272] Time 0.844 (0.817) Data 0.002 (0.002) Loss 2.7107 (2.5996) Prec@1 35.625 (36.890) Prec@5 67.500 (67.638) Epoch: [25][10640/11272] Time 0.903 (0.817) Data 0.002 (0.002) Loss 2.4932 (2.5995) Prec@1 33.750 (36.891) Prec@5 70.000 (67.639) Epoch: [25][10650/11272] Time 0.782 (0.817) Data 0.002 (0.002) Loss 2.4801 (2.5995) Prec@1 40.625 (36.891) Prec@5 70.625 (67.640) Epoch: [25][10660/11272] Time 0.897 (0.817) Data 0.001 (0.002) Loss 2.5007 (2.5994) Prec@1 38.125 (36.891) Prec@5 68.125 (67.640) Epoch: [25][10670/11272] Time 0.847 (0.817) Data 0.001 (0.002) Loss 2.6201 (2.5995) Prec@1 37.500 (36.891) Prec@5 63.750 (67.640) Epoch: [25][10680/11272] Time 0.795 (0.817) Data 0.001 (0.002) Loss 2.6774 (2.5996) Prec@1 33.750 (36.890) Prec@5 67.500 (67.638) Epoch: [25][10690/11272] Time 0.752 (0.817) Data 0.001 (0.002) Loss 2.5482 (2.5996) Prec@1 38.750 (36.890) Prec@5 70.625 (67.638) Epoch: [25][10700/11272] Time 0.916 (0.817) Data 0.001 (0.002) Loss 2.6539 (2.5996) Prec@1 37.500 (36.890) Prec@5 66.875 (67.637) Epoch: [25][10710/11272] Time 0.896 (0.817) Data 0.002 (0.002) Loss 2.7277 (2.5995) Prec@1 35.625 (36.891) Prec@5 61.250 (67.637) Epoch: [25][10720/11272] Time 0.751 (0.817) Data 0.002 (0.002) Loss 2.6967 (2.5996) Prec@1 33.750 (36.892) Prec@5 66.250 (67.637) Epoch: [25][10730/11272] Time 0.742 (0.817) Data 0.002 (0.002) Loss 2.7089 (2.5996) Prec@1 36.875 (36.891) Prec@5 65.625 (67.637) Epoch: [25][10740/11272] Time 0.871 (0.817) Data 0.002 (0.002) Loss 2.7393 (2.5996) Prec@1 35.625 (36.891) Prec@5 65.000 (67.638) Epoch: [25][10750/11272] Time 0.874 (0.817) Data 0.001 (0.002) Loss 2.5138 (2.5996) Prec@1 35.625 (36.891) Prec@5 68.750 (67.636) Epoch: [25][10760/11272] Time 0.722 (0.817) Data 0.001 (0.002) Loss 2.7841 (2.5995) Prec@1 35.625 (36.891) Prec@5 66.250 (67.637) Epoch: [25][10770/11272] Time 0.741 (0.817) Data 0.002 (0.002) Loss 2.5095 (2.5996) Prec@1 34.375 (36.890) Prec@5 70.625 (67.635) Epoch: [25][10780/11272] Time 0.861 (0.817) Data 0.002 (0.002) Loss 2.7692 (2.5997) Prec@1 34.375 (36.890) Prec@5 63.750 (67.633) Epoch: [25][10790/11272] Time 0.838 (0.817) Data 0.002 (0.002) Loss 2.5686 (2.5997) Prec@1 38.125 (36.889) Prec@5 68.750 (67.633) Epoch: [25][10800/11272] Time 0.718 (0.817) Data 0.001 (0.002) Loss 2.4809 (2.5997) Prec@1 40.000 (36.889) Prec@5 68.125 (67.632) Epoch: [25][10810/11272] Time 0.839 (0.817) Data 0.001 (0.002) Loss 2.8363 (2.5997) Prec@1 37.500 (36.889) Prec@5 62.500 (67.633) Epoch: [25][10820/11272] Time 0.898 (0.817) Data 0.002 (0.002) Loss 2.7089 (2.5997) Prec@1 34.375 (36.889) Prec@5 66.250 (67.632) Epoch: [25][10830/11272] Time 0.809 (0.817) Data 0.002 (0.002) Loss 2.6646 (2.5997) Prec@1 34.375 (36.889) Prec@5 66.875 (67.632) Epoch: [25][10840/11272] Time 0.736 (0.817) Data 0.001 (0.002) Loss 2.8213 (2.5996) Prec@1 35.625 (36.891) Prec@5 65.000 (67.634) Epoch: [25][10850/11272] Time 0.866 (0.817) Data 0.001 (0.002) Loss 2.6513 (2.5996) Prec@1 35.625 (36.892) Prec@5 66.250 (67.635) Epoch: [25][10860/11272] Time 0.942 (0.817) Data 0.001 (0.002) Loss 2.7796 (2.5995) Prec@1 33.750 (36.891) Prec@5 61.875 (67.636) Epoch: [25][10870/11272] Time 0.787 (0.817) Data 0.001 (0.002) Loss 2.7699 (2.5995) Prec@1 32.500 (36.893) Prec@5 62.500 (67.637) Epoch: [25][10880/11272] Time 0.743 (0.817) Data 0.002 (0.002) Loss 2.5759 (2.5995) Prec@1 40.000 (36.893) Prec@5 65.000 (67.636) Epoch: [25][10890/11272] Time 0.882 (0.817) Data 0.001 (0.002) Loss 2.8177 (2.5995) Prec@1 31.875 (36.893) Prec@5 62.500 (67.637) Epoch: [25][10900/11272] Time 0.881 (0.817) Data 0.001 (0.002) Loss 2.5327 (2.5995) Prec@1 39.375 (36.895) Prec@5 66.250 (67.638) Epoch: [25][10910/11272] Time 0.728 (0.817) Data 0.001 (0.002) Loss 2.5083 (2.5995) Prec@1 38.750 (36.894) Prec@5 70.000 (67.638) Epoch: [25][10920/11272] Time 0.796 (0.817) Data 0.001 (0.002) Loss 2.5140 (2.5996) Prec@1 36.250 (36.891) Prec@5 71.250 (67.637) Epoch: [25][10930/11272] Time 0.881 (0.817) Data 0.001 (0.002) Loss 2.8069 (2.5997) Prec@1 35.625 (36.892) Prec@5 62.500 (67.636) Epoch: [25][10940/11272] Time 0.740 (0.817) Data 0.002 (0.002) Loss 2.4759 (2.5997) Prec@1 36.250 (36.890) Prec@5 66.875 (67.635) Epoch: [25][10950/11272] Time 0.747 (0.817) Data 0.001 (0.002) Loss 2.4994 (2.5998) Prec@1 38.125 (36.891) Prec@5 71.875 (67.634) Epoch: [25][10960/11272] Time 0.841 (0.817) Data 0.001 (0.002) Loss 2.4886 (2.5997) Prec@1 38.750 (36.891) Prec@5 70.000 (67.635) Epoch: [25][10970/11272] Time 0.854 (0.817) Data 0.001 (0.002) Loss 2.6444 (2.5997) Prec@1 36.250 (36.891) Prec@5 66.875 (67.634) Epoch: [25][10980/11272] Time 0.767 (0.817) Data 0.002 (0.002) Loss 2.4003 (2.5997) Prec@1 39.375 (36.893) Prec@5 74.375 (67.636) Epoch: [25][10990/11272] Time 0.798 (0.817) Data 0.002 (0.002) Loss 2.3411 (2.5996) Prec@1 44.375 (36.893) Prec@5 75.000 (67.637) Epoch: [25][11000/11272] Time 0.836 (0.817) Data 0.002 (0.002) Loss 2.7238 (2.5997) Prec@1 30.625 (36.891) Prec@5 61.875 (67.636) Epoch: [25][11010/11272] Time 0.891 (0.817) Data 0.002 (0.002) Loss 2.6450 (2.5997) Prec@1 34.375 (36.892) Prec@5 67.500 (67.636) Epoch: [25][11020/11272] Time 0.726 (0.817) Data 0.001 (0.002) Loss 2.4084 (2.5997) Prec@1 42.500 (36.891) Prec@5 75.625 (67.635) Epoch: [25][11030/11272] Time 0.814 (0.817) Data 0.001 (0.002) Loss 2.8556 (2.5998) Prec@1 30.000 (36.889) Prec@5 58.125 (67.634) Epoch: [25][11040/11272] Time 0.910 (0.817) Data 0.001 (0.002) Loss 2.7458 (2.5998) Prec@1 35.000 (36.890) Prec@5 61.875 (67.633) Epoch: [25][11050/11272] Time 0.831 (0.817) Data 0.002 (0.002) Loss 2.7622 (2.5998) Prec@1 36.250 (36.890) Prec@5 64.375 (67.632) Epoch: [25][11060/11272] Time 0.763 (0.817) Data 0.002 (0.002) Loss 2.3313 (2.5999) Prec@1 41.875 (36.887) Prec@5 71.875 (67.630) Epoch: [25][11070/11272] Time 0.844 (0.817) Data 0.001 (0.002) Loss 2.6436 (2.6000) Prec@1 35.000 (36.887) Prec@5 66.250 (67.630) Epoch: [25][11080/11272] Time 0.875 (0.817) Data 0.001 (0.002) Loss 2.2943 (2.6000) Prec@1 40.625 (36.886) Prec@5 73.125 (67.629) Epoch: [25][11090/11272] Time 0.756 (0.817) Data 0.001 (0.002) Loss 2.6834 (2.6000) Prec@1 30.000 (36.886) Prec@5 63.750 (67.628) Epoch: [25][11100/11272] Time 0.748 (0.817) Data 0.001 (0.002) Loss 2.5060 (2.6000) Prec@1 44.375 (36.886) Prec@5 67.500 (67.629) Epoch: [25][11110/11272] Time 0.843 (0.817) Data 0.001 (0.002) Loss 2.6650 (2.6000) Prec@1 34.375 (36.883) Prec@5 65.625 (67.627) Epoch: [25][11120/11272] Time 0.848 (0.817) Data 0.002 (0.002) Loss 2.4840 (2.6000) Prec@1 35.000 (36.883) Prec@5 71.875 (67.627) Epoch: [25][11130/11272] Time 0.715 (0.817) Data 0.002 (0.002) Loss 2.6766 (2.6000) Prec@1 31.875 (36.882) Prec@5 64.375 (67.628) Epoch: [25][11140/11272] Time 0.781 (0.817) Data 0.001 (0.002) Loss 2.6410 (2.6000) Prec@1 36.250 (36.882) Prec@5 68.750 (67.629) Epoch: [25][11150/11272] Time 0.840 (0.817) Data 0.001 (0.002) Loss 2.7732 (2.6000) Prec@1 37.500 (36.882) Prec@5 65.625 (67.628) Epoch: [25][11160/11272] Time 0.852 (0.817) Data 0.001 (0.002) Loss 2.6757 (2.6000) Prec@1 31.875 (36.882) Prec@5 66.875 (67.629) Epoch: [25][11170/11272] Time 0.759 (0.817) Data 0.001 (0.002) Loss 2.6852 (2.6000) Prec@1 35.625 (36.881) Prec@5 66.875 (67.628) Epoch: [25][11180/11272] Time 0.732 (0.817) Data 0.001 (0.002) Loss 2.8998 (2.6000) Prec@1 28.125 (36.881) Prec@5 64.375 (67.628) Epoch: [25][11190/11272] Time 0.849 (0.817) Data 0.001 (0.002) Loss 2.6395 (2.6000) Prec@1 36.875 (36.881) Prec@5 64.375 (67.628) Epoch: [25][11200/11272] Time 0.782 (0.817) Data 0.003 (0.002) Loss 2.6743 (2.6001) Prec@1 37.500 (36.880) Prec@5 65.625 (67.625) Epoch: [25][11210/11272] Time 0.764 (0.817) Data 0.001 (0.002) Loss 2.2746 (2.6001) Prec@1 42.500 (36.882) Prec@5 76.250 (67.627) Epoch: [25][11220/11272] Time 0.897 (0.817) Data 0.002 (0.002) Loss 2.5765 (2.6000) Prec@1 37.500 (36.884) Prec@5 65.000 (67.627) Epoch: [25][11230/11272] Time 0.853 (0.817) Data 0.002 (0.002) Loss 2.4922 (2.6001) Prec@1 39.375 (36.883) Prec@5 67.500 (67.626) Epoch: [25][11240/11272] Time 0.765 (0.817) Data 0.001 (0.002) Loss 2.7295 (2.6001) Prec@1 33.750 (36.882) Prec@5 63.750 (67.626) Epoch: [25][11250/11272] Time 0.753 (0.817) Data 0.002 (0.002) Loss 2.7377 (2.6001) Prec@1 33.750 (36.883) Prec@5 63.750 (67.627) Epoch: [25][11260/11272] Time 0.853 (0.817) Data 0.002 (0.002) Loss 2.7250 (2.6001) Prec@1 41.250 (36.883) Prec@5 66.875 (67.626) Epoch: [25][11270/11272] Time 0.795 (0.817) Data 0.000 (0.002) Loss 2.5478 (2.6001) Prec@1 32.500 (36.883) Prec@5 71.875 (67.626) Test: [0/229] Time 1.531 (1.531) Loss 1.0699 (1.0699) Prec@1 71.875 (71.875) Prec@5 95.000 (95.000) Test: [10/229] Time 0.330 (0.485) Loss 1.4791 (2.1017) Prec@1 59.375 (45.909) Prec@5 92.500 (78.125) Test: [20/229] Time 0.338 (0.436) Loss 2.7169 (2.2360) Prec@1 35.625 (43.244) Prec@5 68.750 (76.696) Test: [30/229] Time 0.462 (0.424) Loss 2.3035 (2.1294) Prec@1 36.875 (45.907) Prec@5 80.000 (77.500) Test: [40/229] Time 0.326 (0.409) Loss 0.8026 (2.1488) Prec@1 81.250 (45.229) Prec@5 91.875 (77.500) Test: [50/229] Time 0.359 (0.405) Loss 2.9632 (2.2014) Prec@1 23.750 (43.995) Prec@5 62.500 (76.103) Test: [60/229] Time 0.389 (0.402) Loss 2.9147 (2.2213) Prec@1 22.500 (43.453) Prec@5 61.875 (75.400) Test: [70/229] Time 0.452 (0.401) Loss 2.3154 (2.2639) Prec@1 45.625 (42.562) Prec@5 75.000 (74.736) Test: [80/229] Time 0.415 (0.398) Loss 2.7683 (2.2888) Prec@1 28.125 (41.968) Prec@5 68.750 (74.560) Test: [90/229] Time 0.317 (0.395) Loss 2.3256 (2.3063) Prec@1 48.125 (41.600) Prec@5 73.750 (74.499) Test: [100/229] Time 0.413 (0.393) Loss 3.3439 (2.2848) Prec@1 21.250 (42.240) Prec@5 52.500 (74.858) Test: [110/229] Time 0.309 (0.392) Loss 1.8898 (2.2516) Prec@1 50.625 (42.894) Prec@5 82.500 (75.495) Test: [120/229] Time 0.519 (0.392) Loss 3.0381 (2.2839) Prec@1 22.500 (42.045) Prec@5 65.625 (74.948) Test: [130/229] Time 0.312 (0.390) Loss 1.6884 (2.2638) Prec@1 53.750 (42.400) Prec@5 86.875 (75.358) Test: [140/229] Time 0.335 (0.390) Loss 2.4914 (2.2736) Prec@1 36.875 (42.150) Prec@5 74.375 (75.253) Test: [150/229] Time 0.447 (0.390) Loss 1.8790 (2.2881) Prec@1 57.500 (41.908) Prec@5 77.500 (75.012) Test: [160/229] Time 0.318 (0.389) Loss 2.1008 (2.2923) Prec@1 51.875 (41.871) Prec@5 84.375 (74.946) Test: [170/229] Time 0.406 (0.389) Loss 2.7644 (2.3091) Prec@1 35.000 (41.546) Prec@5 70.625 (74.642) Test: [180/229] Time 0.342 (0.388) Loss 2.7956 (2.3065) Prec@1 30.000 (41.737) Prec@5 65.625 (74.620) Test: [190/229] Time 0.425 (0.387) Loss 1.9350 (2.3051) Prec@1 45.625 (41.757) Prec@5 86.250 (74.607) Test: [200/229] Time 0.329 (0.387) Loss 2.2275 (2.3013) Prec@1 37.500 (41.682) Prec@5 74.375 (74.795) Test: [210/229] Time 0.316 (0.387) Loss 0.9659 (2.2882) Prec@1 68.750 (41.964) Prec@5 94.375 (74.994) Test: [220/229] Time 0.471 (0.387) Loss 1.8392 (2.2696) Prec@1 50.000 (42.480) Prec@5 84.375 (75.246) * Prec@1 42.933 Prec@5 75.428 Epoch: [26][0/11272] Time 2.944 (2.944) Data 1.984 (1.984) Loss 2.8188 (2.8188) Prec@1 33.125 (33.125) Prec@5 61.250 (61.250) Epoch: [26][10/11272] Time 0.780 (1.010) Data 0.001 (0.182) Loss 2.4751 (2.6294) Prec@1 38.125 (35.795) Prec@5 70.000 (66.761) Epoch: [26][20/11272] Time 0.779 (0.912) Data 0.002 (0.096) Loss 2.4290 (2.5928) Prec@1 38.750 (37.292) Prec@5 70.625 (67.827) Epoch: [26][30/11272] Time 0.886 (0.881) Data 0.002 (0.066) Loss 2.5367 (2.6091) Prec@1 40.000 (37.077) Prec@5 69.375 (67.621) Epoch: [26][40/11272] Time 0.896 (0.866) Data 0.002 (0.050) Loss 2.4123 (2.6123) Prec@1 33.750 (36.875) Prec@5 75.000 (67.866) Epoch: [26][50/11272] Time 0.755 (0.856) Data 0.001 (0.040) Loss 2.3006 (2.6031) Prec@1 43.750 (37.083) Prec@5 71.250 (67.770) Epoch: [26][60/11272] Time 0.768 (0.849) Data 0.002 (0.034) Loss 2.7692 (2.6078) Prec@1 30.000 (36.824) Prec@5 63.125 (67.777) Epoch: [26][70/11272] Time 0.856 (0.844) Data 0.001 (0.029) Loss 2.5349 (2.5998) Prec@1 40.000 (37.121) Prec@5 69.375 (67.914) Epoch: [26][80/11272] Time 0.915 (0.841) Data 0.002 (0.026) Loss 2.4398 (2.6022) Prec@1 39.375 (36.991) Prec@5 69.375 (67.863) Epoch: [26][90/11272] Time 0.720 (0.837) Data 0.001 (0.023) Loss 2.4692 (2.6002) Prec@1 42.500 (37.067) Prec@5 70.625 (67.823) Epoch: [26][100/11272] Time 0.757 (0.835) Data 0.002 (0.021) Loss 2.6203 (2.5971) Prec@1 35.000 (37.234) Prec@5 65.000 (67.828) Epoch: [26][110/11272] Time 0.863 (0.833) Data 0.002 (0.019) Loss 2.6771 (2.5964) Prec@1 35.625 (37.230) Prec@5 61.875 (67.675) Epoch: [26][120/11272] Time 0.888 (0.831) Data 0.002 (0.018) Loss 2.9197 (2.5962) Prec@1 36.875 (37.226) Prec@5 63.750 (67.634) Epoch: [26][130/11272] Time 0.754 (0.830) Data 0.001 (0.017) Loss 3.0096 (2.5954) Prec@1 27.500 (37.214) Prec@5 60.000 (67.672) Epoch: [26][140/11272] Time 0.879 (0.829) Data 0.002 (0.016) Loss 2.5937 (2.5931) Prec@1 36.875 (37.287) Prec@5 67.500 (67.735) Epoch: [26][150/11272] Time 0.857 (0.829) Data 0.002 (0.015) Loss 2.1294 (2.5847) Prec@1 44.375 (37.541) Prec@5 76.875 (67.864) Epoch: [26][160/11272] Time 0.736 (0.829) Data 0.002 (0.014) Loss 2.5387 (2.5861) Prec@1 34.375 (37.473) Prec@5 66.250 (67.783) Epoch: [26][170/11272] Time 0.759 (0.828) Data 0.001 (0.013) Loss 2.5527 (2.5861) Prec@1 36.875 (37.438) Prec@5 69.375 (67.749) Epoch: [26][180/11272] Time 0.896 (0.828) Data 0.002 (0.013) Loss 2.8616 (2.5879) Prec@1 30.625 (37.438) Prec@5 65.625 (67.683) Epoch: [26][190/11272] Time 0.855 (0.827) Data 0.002 (0.012) Loss 2.6335 (2.5861) Prec@1 40.625 (37.471) Prec@5 67.500 (67.752) Epoch: [26][200/11272] Time 0.772 (0.826) Data 0.002 (0.011) Loss 2.8244 (2.5914) Prec@1 31.250 (37.391) Prec@5 63.750 (67.677) Epoch: [26][210/11272] Time 0.759 (0.825) Data 0.001 (0.011) Loss 2.6794 (2.5900) Prec@1 32.500 (37.379) Prec@5 62.500 (67.660) Epoch: [26][220/11272] Time 0.935 (0.826) Data 0.002 (0.011) Loss 2.3800 (2.5866) Prec@1 46.250 (37.508) Prec@5 71.875 (67.732) Epoch: [26][230/11272] Time 0.882 (0.825) Data 0.001 (0.010) Loss 2.3202 (2.5846) Prec@1 41.875 (37.549) Prec@5 75.000 (67.771) Epoch: [26][240/11272] Time 0.790 (0.826) Data 0.002 (0.010) Loss 2.6649 (2.5828) Prec@1 31.875 (37.593) Prec@5 71.250 (67.806) Epoch: [26][250/11272] Time 0.789 (0.826) Data 0.002 (0.009) Loss 2.6275 (2.5845) Prec@1 38.125 (37.507) Prec@5 66.250 (67.747) Epoch: [26][260/11272] Time 0.874 (0.826) Data 0.002 (0.009) Loss 2.6228 (2.5843) Prec@1 32.500 (37.493) Prec@5 65.625 (67.761) Epoch: [26][270/11272] Time 0.735 (0.825) Data 0.003 (0.009) Loss 2.9552 (2.5824) Prec@1 35.000 (37.516) Prec@5 58.750 (67.784) Epoch: [26][280/11272] Time 0.825 (0.825) Data 0.002 (0.009) Loss 2.5305 (2.5809) Prec@1 41.250 (37.527) Prec@5 68.125 (67.805) Epoch: [26][290/11272] Time 0.897 (0.826) Data 0.001 (0.008) Loss 2.7872 (2.5804) Prec@1 32.500 (37.519) Prec@5 61.875 (67.811) Epoch: [26][300/11272] Time 0.883 (0.826) Data 0.002 (0.008) Loss 2.4792 (2.5812) Prec@1 35.000 (37.461) Prec@5 66.875 (67.807) Epoch: [26][310/11272] Time 0.769 (0.826) Data 0.001 (0.008) Loss 2.8110 (2.5820) Prec@1 36.875 (37.484) Prec@5 61.250 (67.809) Epoch: [26][320/11272] Time 0.773 (0.825) Data 0.002 (0.008) Loss 2.6087 (2.5825) Prec@1 38.125 (37.467) Prec@5 70.625 (67.823) Epoch: [26][330/11272] Time 0.850 (0.826) Data 0.001 (0.008) Loss 2.6702 (2.5836) Prec@1 33.125 (37.404) Prec@5 61.875 (67.819) Epoch: [26][340/11272] Time 0.871 (0.825) Data 0.002 (0.007) Loss 2.5750 (2.5825) Prec@1 38.750 (37.434) Prec@5 72.500 (67.867) Epoch: [26][350/11272] Time 0.735 (0.825) Data 0.001 (0.007) Loss 2.5805 (2.5841) Prec@1 37.500 (37.379) Prec@5 63.125 (67.872) Epoch: [26][360/11272] Time 0.790 (0.825) Data 0.002 (0.007) Loss 2.5190 (2.5830) Prec@1 36.250 (37.344) Prec@5 66.875 (67.895) Epoch: [26][370/11272] Time 0.904 (0.825) Data 0.001 (0.007) Loss 2.5415 (2.5826) Prec@1 39.375 (37.353) Prec@5 71.250 (67.914) Epoch: [26][380/11272] Time 0.895 (0.825) Data 0.001 (0.007) Loss 2.5577 (2.5822) Prec@1 31.250 (37.318) Prec@5 67.500 (67.928) Epoch: [26][390/11272] Time 0.754 (0.824) Data 0.001 (0.007) Loss 2.8177 (2.5848) Prec@1 36.875 (37.275) Prec@5 60.625 (67.877) Epoch: [26][400/11272] Time 0.850 (0.824) Data 0.002 (0.007) Loss 2.3837 (2.5828) Prec@1 43.125 (37.311) Prec@5 73.750 (67.918) Epoch: [26][410/11272] Time 0.876 (0.824) Data 0.001 (0.006) Loss 2.6615 (2.5807) Prec@1 31.250 (37.293) Prec@5 67.500 (67.949) Epoch: [26][420/11272] Time 0.813 (0.824) Data 0.002 (0.006) Loss 2.5694 (2.5816) Prec@1 40.000 (37.267) Prec@5 70.625 (67.938) Epoch: [26][430/11272] Time 0.743 (0.824) Data 0.001 (0.006) Loss 2.3609 (2.5822) Prec@1 34.375 (37.258) Prec@5 73.750 (67.913) Epoch: [26][440/11272] Time 0.848 (0.824) Data 0.002 (0.006) Loss 2.5855 (2.5832) Prec@1 37.500 (37.202) Prec@5 67.500 (67.893) Epoch: [26][450/11272] Time 0.880 (0.824) Data 0.001 (0.006) Loss 2.5594 (2.5826) Prec@1 33.125 (37.206) Prec@5 70.000 (67.905) Epoch: [26][460/11272] Time 0.758 (0.824) Data 0.002 (0.006) Loss 2.6563 (2.5820) Prec@1 36.250 (37.252) Prec@5 64.375 (67.900) Epoch: [26][470/11272] Time 0.772 (0.823) Data 0.002 (0.006) Loss 2.4742 (2.5819) Prec@1 39.375 (37.249) Prec@5 70.000 (67.898) Epoch: [26][480/11272] Time 0.871 (0.823) Data 0.002 (0.006) Loss 2.6711 (2.5830) Prec@1 40.000 (37.205) Prec@5 69.375 (67.870) Epoch: [26][490/11272] Time 0.859 (0.823) Data 0.002 (0.006) Loss 2.4509 (2.5824) Prec@1 42.500 (37.209) Prec@5 70.625 (67.895) Epoch: [26][500/11272] Time 0.731 (0.822) Data 0.001 (0.006) Loss 2.3636 (2.5819) Prec@1 38.750 (37.208) Prec@5 74.375 (67.900) Epoch: [26][510/11272] Time 0.745 (0.822) Data 0.002 (0.005) Loss 2.4895 (2.5806) Prec@1 41.250 (37.247) Prec@5 68.750 (67.938) Epoch: [26][520/11272] Time 0.936 (0.823) Data 0.002 (0.005) Loss 2.5995 (2.5812) Prec@1 31.250 (37.198) Prec@5 64.375 (67.899) Epoch: [26][530/11272] Time 0.875 (0.823) Data 0.001 (0.005) Loss 2.3486 (2.5828) Prec@1 39.375 (37.134) Prec@5 71.875 (67.875) Epoch: [26][540/11272] Time 0.778 (0.823) Data 0.002 (0.005) Loss 2.6336 (2.5815) Prec@1 39.375 (37.160) Prec@5 65.625 (67.904) Epoch: [26][550/11272] Time 0.929 (0.823) Data 0.002 (0.005) Loss 2.7413 (2.5807) Prec@1 38.125 (37.170) Prec@5 67.500 (67.919) Epoch: [26][560/11272] Time 0.869 (0.822) Data 0.002 (0.005) Loss 2.4568 (2.5793) Prec@1 37.500 (37.203) Prec@5 73.125 (67.943) Epoch: [26][570/11272] Time 0.736 (0.822) Data 0.002 (0.005) Loss 2.6299 (2.5784) Prec@1 41.875 (37.222) Prec@5 66.250 (67.959) Epoch: [26][580/11272] Time 0.766 (0.822) Data 0.002 (0.005) Loss 2.9230 (2.5795) Prec@1 31.875 (37.198) Prec@5 65.000 (67.955) Epoch: [26][590/11272] Time 0.857 (0.822) Data 0.001 (0.005) Loss 2.5915 (2.5795) Prec@1 34.375 (37.190) Prec@5 68.125 (67.964) Epoch: [26][600/11272] Time 0.930 (0.822) Data 0.002 (0.005) Loss 2.6024 (2.5794) Prec@1 38.750 (37.209) Prec@5 68.125 (67.963) Epoch: [26][610/11272] Time 0.770 (0.822) Data 0.001 (0.005) Loss 2.6679 (2.5805) Prec@1 40.625 (37.212) Prec@5 66.875 (67.947) Epoch: [26][620/11272] Time 0.780 (0.823) Data 0.002 (0.005) Loss 2.4718 (2.5791) Prec@1 40.625 (37.275) Prec@5 68.125 (67.984) Epoch: [26][630/11272] Time 0.853 (0.823) Data 0.002 (0.005) Loss 2.3660 (2.5790) Prec@1 36.250 (37.255) Prec@5 72.500 (67.997) Epoch: [26][640/11272] Time 0.847 (0.823) Data 0.002 (0.005) Loss 2.8232 (2.5792) Prec@1 33.750 (37.247) Prec@5 65.625 (67.976) Epoch: [26][650/11272] Time 0.731 (0.822) Data 0.001 (0.005) Loss 2.7012 (2.5792) Prec@1 37.500 (37.248) Prec@5 66.875 (67.972) Epoch: [26][660/11272] Time 0.799 (0.822) Data 0.002 (0.005) Loss 2.4330 (2.5785) Prec@1 43.125 (37.256) Prec@5 73.125 (67.991) Epoch: [26][670/11272] Time 0.851 (0.822) Data 0.001 (0.005) Loss 2.6274 (2.5795) Prec@1 36.250 (37.223) Prec@5 69.375 (67.969) Epoch: [26][680/11272] Time 0.740 (0.822) Data 0.001 (0.004) Loss 2.4529 (2.5798) Prec@1 37.500 (37.218) Prec@5 68.125 (67.965) Epoch: [26][690/11272] Time 0.721 (0.822) Data 0.001 (0.004) Loss 2.5107 (2.5805) Prec@1 38.125 (37.211) Prec@5 70.625 (67.944) Epoch: [26][700/11272] Time 0.864 (0.822) Data 0.002 (0.004) Loss 2.8524 (2.5813) Prec@1 32.500 (37.217) Prec@5 66.250 (67.921) Epoch: [26][710/11272] Time 0.920 (0.822) Data 0.001 (0.004) Loss 2.5033 (2.5802) Prec@1 40.000 (37.241) Prec@5 65.625 (67.924) Epoch: [26][720/11272] Time 0.744 (0.822) Data 0.002 (0.004) Loss 2.5621 (2.5797) Prec@1 39.375 (37.242) Prec@5 71.250 (67.938) Epoch: [26][730/11272] Time 0.752 (0.822) Data 0.002 (0.004) Loss 2.5362 (2.5788) Prec@1 40.625 (37.255) Prec@5 62.500 (67.943) Epoch: [26][740/11272] Time 0.895 (0.822) Data 0.002 (0.004) Loss 2.5289 (2.5790) Prec@1 38.750 (37.259) Prec@5 70.000 (67.939) Epoch: [26][750/11272] Time 0.874 (0.822) Data 0.001 (0.004) Loss 2.3796 (2.5786) Prec@1 38.125 (37.269) Prec@5 69.375 (67.946) Epoch: [26][760/11272] Time 0.772 (0.822) Data 0.002 (0.004) Loss 2.8409 (2.5781) Prec@1 30.625 (37.275) Prec@5 65.625 (67.962) Epoch: [26][770/11272] Time 0.762 (0.822) Data 0.002 (0.004) Loss 2.8058 (2.5789) Prec@1 33.125 (37.271) Prec@5 66.250 (67.943) Epoch: [26][780/11272] Time 0.879 (0.822) Data 0.002 (0.004) Loss 2.8475 (2.5792) Prec@1 33.750 (37.265) Prec@5 61.250 (67.936) Epoch: [26][790/11272] Time 0.882 (0.822) Data 0.001 (0.004) Loss 2.7481 (2.5796) Prec@1 35.625 (37.261) Prec@5 60.625 (67.931) Epoch: [26][800/11272] Time 0.782 (0.822) Data 0.002 (0.004) Loss 2.6647 (2.5796) Prec@1 35.625 (37.270) Prec@5 71.875 (67.945) Epoch: [26][810/11272] Time 0.907 (0.822) Data 0.002 (0.004) Loss 2.5994 (2.5803) Prec@1 34.375 (37.264) Prec@5 69.375 (67.929) Epoch: [26][820/11272] Time 0.933 (0.822) Data 0.002 (0.004) Loss 2.4731 (2.5796) Prec@1 37.500 (37.275) Prec@5 70.000 (67.929) Epoch: [26][830/11272] Time 0.796 (0.822) Data 0.001 (0.004) Loss 2.4079 (2.5797) Prec@1 40.000 (37.270) Prec@5 70.625 (67.922) Epoch: [26][840/11272] Time 0.769 (0.822) Data 0.002 (0.004) Loss 2.4177 (2.5799) Prec@1 43.125 (37.277) Prec@5 71.875 (67.922) Epoch: [26][850/11272] Time 0.850 (0.822) Data 0.002 (0.004) Loss 2.5625 (2.5805) Prec@1 36.875 (37.260) Prec@5 70.000 (67.911) Epoch: [26][860/11272] Time 0.851 (0.822) Data 0.002 (0.004) Loss 2.5752 (2.5804) Prec@1 40.625 (37.269) Prec@5 64.375 (67.906) Epoch: [26][870/11272] Time 0.783 (0.822) Data 0.002 (0.004) Loss 2.5373 (2.5806) Prec@1 38.125 (37.272) Prec@5 66.875 (67.905) Epoch: [26][880/11272] Time 0.755 (0.822) Data 0.002 (0.004) Loss 2.6608 (2.5807) Prec@1 38.125 (37.275) Prec@5 69.375 (67.907) Epoch: [26][890/11272] Time 0.857 (0.822) Data 0.002 (0.004) Loss 2.6248 (2.5805) Prec@1 31.875 (37.266) Prec@5 65.625 (67.905) Epoch: [26][900/11272] Time 0.857 (0.822) Data 0.002 (0.004) Loss 2.8979 (2.5798) Prec@1 37.500 (37.301) Prec@5 59.375 (67.931) Epoch: [26][910/11272] Time 0.790 (0.822) Data 0.001 (0.004) Loss 2.5140 (2.5803) Prec@1 36.250 (37.291) Prec@5 68.750 (67.940) Epoch: [26][920/11272] Time 0.789 (0.822) Data 0.002 (0.004) Loss 2.4969 (2.5796) Prec@1 40.000 (37.309) Prec@5 68.125 (67.961) Epoch: [26][930/11272] Time 0.867 (0.821) Data 0.001 (0.004) Loss 2.6725 (2.5797) Prec@1 38.750 (37.323) Prec@5 68.750 (67.970) Epoch: [26][940/11272] Time 0.761 (0.821) Data 0.004 (0.004) Loss 2.5603 (2.5800) Prec@1 37.500 (37.315) Prec@5 73.125 (67.979) Epoch: [26][950/11272] Time 0.735 (0.821) Data 0.002 (0.004) Loss 2.6588 (2.5808) Prec@1 35.000 (37.308) Prec@5 67.500 (67.954) Epoch: [26][960/11272] Time 0.846 (0.821) Data 0.001 (0.004) Loss 2.2518 (2.5805) Prec@1 42.500 (37.311) Prec@5 74.375 (67.958) Epoch: [26][970/11272] Time 0.865 (0.821) Data 0.002 (0.004) Loss 2.4995 (2.5802) Prec@1 37.500 (37.337) Prec@5 68.750 (67.960) Epoch: [26][980/11272] Time 0.752 (0.821) Data 0.002 (0.004) Loss 2.6076 (2.5808) Prec@1 30.625 (37.323) Prec@5 65.000 (67.952) Epoch: [26][990/11272] Time 0.763 (0.821) Data 0.002 (0.004) Loss 2.7171 (2.5811) Prec@1 36.250 (37.316) Prec@5 63.750 (67.952) Epoch: [26][1000/11272] Time 0.893 (0.821) Data 0.001 (0.004) Loss 2.5026 (2.5811) Prec@1 36.250 (37.302) Prec@5 75.625 (67.943) Epoch: [26][1010/11272] Time 0.854 (0.821) Data 0.001 (0.004) Loss 2.3931 (2.5810) Prec@1 43.750 (37.311) Prec@5 70.625 (67.946) Epoch: [26][1020/11272] Time 0.734 (0.821) Data 0.001 (0.003) Loss 2.8290 (2.5814) Prec@1 30.000 (37.307) Prec@5 60.000 (67.938) Epoch: [26][1030/11272] Time 0.753 (0.821) Data 0.002 (0.003) Loss 2.4800 (2.5813) Prec@1 36.875 (37.305) Prec@5 67.500 (67.935) Epoch: [26][1040/11272] Time 0.893 (0.821) Data 0.002 (0.003) Loss 2.7037 (2.5818) Prec@1 34.375 (37.290) Prec@5 66.875 (67.931) Epoch: [26][1050/11272] Time 0.856 (0.821) Data 0.002 (0.003) Loss 2.7141 (2.5825) Prec@1 28.750 (37.274) Prec@5 63.750 (67.913) Epoch: [26][1060/11272] Time 0.768 (0.821) Data 0.002 (0.003) Loss 2.6577 (2.5826) Prec@1 39.375 (37.274) Prec@5 65.000 (67.914) Epoch: [26][1070/11272] Time 0.885 (0.821) Data 0.001 (0.003) Loss 2.2818 (2.5825) Prec@1 45.625 (37.279) Prec@5 73.125 (67.921) Epoch: [26][1080/11272] Time 0.863 (0.821) Data 0.002 (0.003) Loss 2.6674 (2.5823) Prec@1 38.750 (37.287) Prec@5 63.750 (67.921) Epoch: [26][1090/11272] Time 0.744 (0.821) Data 0.001 (0.003) Loss 2.5445 (2.5826) Prec@1 36.875 (37.290) Prec@5 67.500 (67.921) Epoch: [26][1100/11272] Time 0.773 (0.821) Data 0.002 (0.003) Loss 2.6841 (2.5838) Prec@1 36.875 (37.266) Prec@5 63.125 (67.888) Epoch: [26][1110/11272] Time 0.843 (0.821) Data 0.001 (0.003) Loss 2.4929 (2.5840) Prec@1 38.750 (37.273) Prec@5 68.750 (67.889) Epoch: [26][1120/11272] Time 0.890 (0.821) Data 0.002 (0.003) Loss 2.6578 (2.5839) Prec@1 33.125 (37.266) Prec@5 65.625 (67.884) Epoch: [26][1130/11272] Time 0.761 (0.821) Data 0.002 (0.003) Loss 2.6646 (2.5840) Prec@1 37.500 (37.267) Prec@5 65.000 (67.887) Epoch: [26][1140/11272] Time 0.745 (0.821) Data 0.002 (0.003) Loss 2.8959 (2.5847) Prec@1 30.625 (37.258) Prec@5 63.750 (67.872) Epoch: [26][1150/11272] Time 0.831 (0.821) Data 0.001 (0.003) Loss 2.3980 (2.5852) Prec@1 45.625 (37.260) Prec@5 69.375 (67.858) Epoch: [26][1160/11272] Time 0.918 (0.821) Data 0.002 (0.003) Loss 2.5753 (2.5847) Prec@1 35.625 (37.273) Prec@5 65.625 (67.866) Epoch: [26][1170/11272] Time 0.786 (0.821) Data 0.001 (0.003) Loss 2.3097 (2.5839) Prec@1 45.000 (37.293) Prec@5 76.875 (67.883) Epoch: [26][1180/11272] Time 0.779 (0.821) Data 0.002 (0.003) Loss 2.6201 (2.5841) Prec@1 36.875 (37.286) Prec@5 64.375 (67.876) Epoch: [26][1190/11272] Time 0.862 (0.821) Data 0.001 (0.003) Loss 2.7515 (2.5838) Prec@1 32.500 (37.284) Prec@5 65.000 (67.870) Epoch: [26][1200/11272] Time 0.765 (0.821) Data 0.004 (0.003) Loss 2.6280 (2.5844) Prec@1 35.000 (37.273) Prec@5 67.500 (67.859) Epoch: [26][1210/11272] Time 0.780 (0.821) Data 0.002 (0.003) Loss 2.5403 (2.5841) Prec@1 42.500 (37.281) Prec@5 68.125 (67.867) Epoch: [26][1220/11272] Time 0.902 (0.820) Data 0.002 (0.003) Loss 2.9620 (2.5844) Prec@1 32.500 (37.280) Prec@5 59.375 (67.848) Epoch: [26][1230/11272] Time 0.876 (0.820) Data 0.001 (0.003) Loss 2.8574 (2.5846) Prec@1 35.000 (37.275) Prec@5 63.750 (67.839) Epoch: [26][1240/11272] Time 0.769 (0.820) Data 0.002 (0.003) Loss 2.5625 (2.5846) Prec@1 38.125 (37.274) Prec@5 69.375 (67.835) Epoch: [26][1250/11272] Time 0.766 (0.820) Data 0.001 (0.003) Loss 2.4654 (2.5843) Prec@1 32.500 (37.264) Prec@5 70.625 (67.844) Epoch: [26][1260/11272] Time 0.875 (0.820) Data 0.002 (0.003) Loss 2.7878 (2.5848) Prec@1 36.875 (37.250) Prec@5 60.625 (67.832) Epoch: [26][1270/11272] Time 0.866 (0.820) Data 0.002 (0.003) Loss 2.6735 (2.5848) Prec@1 41.250 (37.250) Prec@5 62.500 (67.826) Epoch: [26][1280/11272] Time 0.741 (0.820) Data 0.002 (0.003) Loss 2.2926 (2.5848) Prec@1 40.625 (37.248) Prec@5 73.125 (67.829) Epoch: [26][1290/11272] Time 0.784 (0.820) Data 0.002 (0.003) Loss 2.5252 (2.5852) Prec@1 38.750 (37.238) Prec@5 70.000 (67.823) Epoch: [26][1300/11272] Time 0.886 (0.821) Data 0.003 (0.003) Loss 2.5713 (2.5854) Prec@1 37.500 (37.230) Prec@5 66.250 (67.812) Epoch: [26][1310/11272] Time 0.875 (0.821) Data 0.001 (0.003) Loss 2.5439 (2.5853) Prec@1 41.875 (37.229) Prec@5 71.250 (67.816) Epoch: [26][1320/11272] Time 0.735 (0.820) Data 0.002 (0.003) Loss 2.5443 (2.5856) Prec@1 40.625 (37.229) Prec@5 69.375 (67.803) Epoch: [26][1330/11272] Time 0.833 (0.820) Data 0.001 (0.003) Loss 2.5640 (2.5858) Prec@1 38.750 (37.232) Prec@5 68.750 (67.803) Epoch: [26][1340/11272] Time 0.931 (0.820) Data 0.002 (0.003) Loss 2.7793 (2.5861) Prec@1 35.000 (37.218) Prec@5 62.500 (67.802) Epoch: [26][1350/11272] Time 0.755 (0.820) Data 0.002 (0.003) Loss 2.5994 (2.5859) Prec@1 31.250 (37.217) Prec@5 67.500 (67.807) Epoch: [26][1360/11272] Time 0.707 (0.820) Data 0.001 (0.003) Loss 2.7782 (2.5863) Prec@1 36.875 (37.203) Prec@5 62.500 (67.798) Epoch: [26][1370/11272] Time 0.871 (0.821) Data 0.002 (0.003) Loss 2.3971 (2.5862) Prec@1 40.625 (37.209) Prec@5 73.125 (67.797) Epoch: [26][1380/11272] Time 0.879 (0.821) Data 0.002 (0.003) Loss 2.4047 (2.5860) Prec@1 39.375 (37.213) Prec@5 71.250 (67.798) Epoch: [26][1390/11272] Time 0.735 (0.820) Data 0.001 (0.003) Loss 2.6356 (2.5864) Prec@1 40.000 (37.208) Prec@5 64.375 (67.792) Epoch: [26][1400/11272] Time 0.731 (0.820) Data 0.002 (0.003) Loss 2.4699 (2.5855) Prec@1 36.250 (37.212) Prec@5 71.875 (67.818) Epoch: [26][1410/11272] Time 0.859 (0.820) Data 0.001 (0.003) Loss 2.5234 (2.5855) Prec@1 38.750 (37.206) Prec@5 65.000 (67.814) Epoch: [26][1420/11272] Time 0.862 (0.820) Data 0.002 (0.003) Loss 2.6478 (2.5852) Prec@1 30.625 (37.206) Prec@5 68.125 (67.824) Epoch: [26][1430/11272] Time 0.781 (0.820) Data 0.002 (0.003) Loss 2.5214 (2.5851) Prec@1 37.500 (37.211) Prec@5 72.500 (67.828) Epoch: [26][1440/11272] Time 0.750 (0.820) Data 0.002 (0.003) Loss 2.5682 (2.5852) Prec@1 36.250 (37.212) Prec@5 67.500 (67.829) Epoch: [26][1450/11272] Time 0.844 (0.820) Data 0.001 (0.003) Loss 2.6515 (2.5854) Prec@1 36.875 (37.208) Prec@5 67.500 (67.826) Epoch: [26][1460/11272] Time 0.905 (0.820) Data 0.002 (0.003) Loss 2.5027 (2.5851) Prec@1 36.250 (37.214) Prec@5 70.625 (67.841) Epoch: [26][1470/11272] Time 0.750 (0.820) Data 0.002 (0.003) Loss 2.7101 (2.5851) Prec@1 37.500 (37.218) Prec@5 66.250 (67.842) Epoch: [26][1480/11272] Time 0.961 (0.820) Data 0.002 (0.003) Loss 2.7390 (2.5851) Prec@1 35.625 (37.212) Prec@5 66.250 (67.838) Epoch: [26][1490/11272] Time 0.865 (0.820) Data 0.002 (0.003) Loss 2.6902 (2.5850) Prec@1 39.375 (37.220) Prec@5 61.875 (67.835) Epoch: [26][1500/11272] Time 0.757 (0.820) Data 0.002 (0.003) Loss 2.6581 (2.5849) Prec@1 35.625 (37.215) Prec@5 66.875 (67.839) Epoch: [26][1510/11272] Time 0.745 (0.820) Data 0.002 (0.003) Loss 2.3731 (2.5849) Prec@1 40.625 (37.221) Prec@5 73.750 (67.833) Epoch: [26][1520/11272] Time 0.853 (0.820) Data 0.002 (0.003) Loss 2.4437 (2.5854) Prec@1 41.875 (37.212) Prec@5 68.750 (67.821) Epoch: [26][1530/11272] Time 0.859 (0.820) Data 0.001 (0.003) Loss 2.5487 (2.5863) Prec@1 36.875 (37.198) Prec@5 66.875 (67.809) Epoch: [26][1540/11272] Time 0.727 (0.820) Data 0.001 (0.003) Loss 2.7109 (2.5867) Prec@1 33.750 (37.183) Prec@5 64.375 (67.799) Epoch: [26][1550/11272] Time 0.756 (0.820) Data 0.001 (0.003) Loss 2.5511 (2.5873) Prec@1 38.750 (37.173) Prec@5 65.625 (67.789) Epoch: [26][1560/11272] Time 0.938 (0.820) Data 0.002 (0.003) Loss 2.6230 (2.5869) Prec@1 43.125 (37.188) Prec@5 63.750 (67.794) Epoch: [26][1570/11272] Time 0.877 (0.820) Data 0.001 (0.003) Loss 2.7511 (2.5873) Prec@1 35.625 (37.173) Prec@5 66.250 (67.799) Epoch: [26][1580/11272] Time 0.754 (0.820) Data 0.002 (0.003) Loss 2.5846 (2.5873) Prec@1 45.000 (37.180) Prec@5 65.625 (67.801) Epoch: [26][1590/11272] Time 0.749 (0.820) Data 0.002 (0.003) Loss 2.4526 (2.5873) Prec@1 35.000 (37.173) Prec@5 68.750 (67.801) Epoch: [26][1600/11272] Time 0.887 (0.820) Data 0.002 (0.003) Loss 2.7469 (2.5870) Prec@1 37.500 (37.188) Prec@5 65.000 (67.809) Epoch: [26][1610/11272] Time 0.794 (0.820) Data 0.001 (0.003) Loss 2.6629 (2.5875) Prec@1 30.000 (37.179) Prec@5 68.125 (67.812) Epoch: [26][1620/11272] Time 0.816 (0.820) Data 0.002 (0.003) Loss 2.5074 (2.5880) Prec@1 36.250 (37.169) Prec@5 69.375 (67.799) Epoch: [26][1630/11272] Time 0.861 (0.820) Data 0.001 (0.003) Loss 2.5156 (2.5883) Prec@1 43.125 (37.171) Prec@5 71.250 (67.791) Epoch: [26][1640/11272] Time 0.941 (0.820) Data 0.002 (0.003) Loss 2.3041 (2.5880) Prec@1 43.125 (37.177) Prec@5 70.000 (67.791) Epoch: [26][1650/11272] Time 0.747 (0.820) Data 0.001 (0.003) Loss 2.4244 (2.5879) Prec@1 41.875 (37.181) Prec@5 70.625 (67.798) Epoch: [26][1660/11272] Time 0.759 (0.820) Data 0.002 (0.003) Loss 2.3668 (2.5881) Prec@1 40.625 (37.174) Prec@5 71.875 (67.802) Epoch: [26][1670/11272] Time 0.903 (0.820) Data 0.001 (0.003) Loss 2.4191 (2.5878) Prec@1 41.250 (37.180) Prec@5 73.750 (67.816) Epoch: [26][1680/11272] Time 0.894 (0.820) Data 0.002 (0.003) Loss 2.6260 (2.5875) Prec@1 34.375 (37.184) Prec@5 68.125 (67.822) Epoch: [26][1690/11272] Time 0.737 (0.820) Data 0.001 (0.003) Loss 2.4894 (2.5875) Prec@1 34.375 (37.177) Prec@5 68.750 (67.816) Epoch: [26][1700/11272] Time 0.747 (0.820) Data 0.002 (0.003) Loss 2.3999 (2.5873) Prec@1 40.625 (37.176) Prec@5 72.500 (67.815) Epoch: [26][1710/11272] Time 0.868 (0.820) Data 0.001 (0.003) Loss 2.9004 (2.5875) Prec@1 32.500 (37.178) Prec@5 63.125 (67.816) Epoch: [26][1720/11272] Time 0.915 (0.820) Data 0.002 (0.003) Loss 2.4005 (2.5873) Prec@1 37.500 (37.178) Prec@5 71.250 (67.825) Epoch: [26][1730/11272] Time 0.785 (0.820) Data 0.002 (0.003) Loss 2.5054 (2.5868) Prec@1 40.000 (37.187) Prec@5 69.375 (67.830) Epoch: [26][1740/11272] Time 0.911 (0.820) Data 0.002 (0.003) Loss 2.7693 (2.5870) Prec@1 31.250 (37.183) Prec@5 68.125 (67.826) Epoch: [26][1750/11272] Time 0.912 (0.820) Data 0.001 (0.003) Loss 2.7270 (2.5869) Prec@1 35.625 (37.189) Prec@5 65.625 (67.823) Epoch: [26][1760/11272] Time 0.729 (0.820) Data 0.001 (0.003) Loss 2.6623 (2.5866) Prec@1 33.750 (37.201) Prec@5 65.625 (67.827) Epoch: [26][1770/11272] Time 0.783 (0.820) Data 0.002 (0.003) Loss 2.5433 (2.5870) Prec@1 35.000 (37.199) Prec@5 70.000 (67.817) Epoch: [26][1780/11272] Time 0.925 (0.820) Data 0.002 (0.003) Loss 2.3764 (2.5869) Prec@1 45.000 (37.200) Prec@5 71.875 (67.822) Epoch: [26][1790/11272] Time 0.856 (0.820) Data 0.001 (0.003) Loss 2.6330 (2.5872) Prec@1 35.000 (37.190) Prec@5 65.000 (67.819) Epoch: [26][1800/11272] Time 0.731 (0.820) Data 0.001 (0.003) Loss 2.4786 (2.5871) Prec@1 39.375 (37.197) Prec@5 72.500 (67.819) Epoch: [26][1810/11272] Time 0.768 (0.820) Data 0.001 (0.003) Loss 2.9016 (2.5867) Prec@1 31.250 (37.208) Prec@5 61.875 (67.824) Epoch: [26][1820/11272] Time 0.849 (0.820) Data 0.002 (0.003) Loss 2.3685 (2.5867) Prec@1 38.750 (37.203) Prec@5 68.125 (67.817) Epoch: [26][1830/11272] Time 0.872 (0.820) Data 0.002 (0.003) Loss 2.4913 (2.5867) Prec@1 40.000 (37.199) Prec@5 69.375 (67.818) Epoch: [26][1840/11272] Time 0.777 (0.820) Data 0.002 (0.003) Loss 2.5809 (2.5865) Prec@1 37.500 (37.205) Prec@5 68.125 (67.821) Epoch: [26][1850/11272] Time 0.752 (0.820) Data 0.001 (0.003) Loss 2.6886 (2.5865) Prec@1 33.750 (37.200) Prec@5 65.625 (67.824) Epoch: [26][1860/11272] Time 0.864 (0.820) Data 0.002 (0.003) Loss 2.6134 (2.5872) Prec@1 31.875 (37.188) Prec@5 67.500 (67.813) Epoch: [26][1870/11272] Time 0.768 (0.820) Data 0.003 (0.003) Loss 2.5496 (2.5869) Prec@1 36.875 (37.194) Prec@5 70.625 (67.820) Epoch: [26][1880/11272] Time 0.808 (0.820) Data 0.002 (0.003) Loss 2.5247 (2.5872) Prec@1 36.875 (37.195) Prec@5 68.750 (67.817) Epoch: [26][1890/11272] Time 0.848 (0.820) Data 0.001 (0.003) Loss 2.6005 (2.5871) Prec@1 35.000 (37.188) Prec@5 68.125 (67.817) Epoch: [26][1900/11272] Time 0.813 (0.820) Data 0.002 (0.003) Loss 2.8727 (2.5874) Prec@1 32.500 (37.179) Prec@5 58.125 (67.810) Epoch: [26][1910/11272] Time 0.746 (0.820) Data 0.001 (0.003) Loss 2.6749 (2.5873) Prec@1 35.000 (37.175) Prec@5 67.500 (67.814) Epoch: [26][1920/11272] Time 0.769 (0.820) Data 0.002 (0.003) Loss 2.8252 (2.5876) Prec@1 27.500 (37.168) Prec@5 63.750 (67.806) Epoch: [26][1930/11272] Time 0.853 (0.820) Data 0.001 (0.003) Loss 2.4684 (2.5875) Prec@1 38.750 (37.163) Prec@5 71.875 (67.808) Epoch: [26][1940/11272] Time 0.885 (0.820) Data 0.002 (0.003) Loss 2.6501 (2.5873) Prec@1 38.125 (37.161) Prec@5 67.500 (67.812) Epoch: [26][1950/11272] Time 0.767 (0.820) Data 0.001 (0.003) Loss 2.4171 (2.5872) Prec@1 38.750 (37.168) Prec@5 68.750 (67.807) Epoch: [26][1960/11272] Time 0.788 (0.820) Data 0.002 (0.003) Loss 2.6171 (2.5870) Prec@1 35.625 (37.173) Prec@5 64.375 (67.808) Epoch: [26][1970/11272] Time 0.882 (0.820) Data 0.002 (0.003) Loss 2.8072 (2.5874) Prec@1 35.000 (37.161) Prec@5 65.625 (67.801) Epoch: [26][1980/11272] Time 0.891 (0.820) Data 0.002 (0.003) Loss 2.7725 (2.5877) Prec@1 38.750 (37.163) Prec@5 63.125 (67.793) Epoch: [26][1990/11272] Time 0.802 (0.820) Data 0.001 (0.003) Loss 2.5565 (2.5881) Prec@1 40.000 (37.156) Prec@5 67.500 (67.785) Epoch: [26][2000/11272] Time 0.894 (0.820) Data 0.002 (0.003) Loss 2.3485 (2.5880) Prec@1 48.125 (37.159) Prec@5 71.875 (67.791) Epoch: [26][2010/11272] Time 0.888 (0.820) Data 0.001 (0.003) Loss 2.8597 (2.5883) Prec@1 33.750 (37.148) Prec@5 60.000 (67.782) Epoch: [26][2020/11272] Time 0.735 (0.820) Data 0.001 (0.003) Loss 2.7034 (2.5886) Prec@1 36.250 (37.141) Prec@5 65.000 (67.780) Epoch: [26][2030/11272] Time 0.739 (0.820) Data 0.003 (0.003) Loss 2.7434 (2.5883) Prec@1 35.625 (37.150) Prec@5 63.125 (67.788) Epoch: [26][2040/11272] Time 0.874 (0.820) Data 0.002 (0.003) Loss 2.6727 (2.5884) Prec@1 38.125 (37.154) Prec@5 65.625 (67.789) Epoch: [26][2050/11272] Time 0.864 (0.820) Data 0.001 (0.003) Loss 2.5126 (2.5883) Prec@1 34.375 (37.149) Prec@5 70.000 (67.795) Epoch: [26][2060/11272] Time 0.758 (0.820) Data 0.002 (0.003) Loss 2.7510 (2.5884) Prec@1 34.375 (37.146) Prec@5 63.750 (67.792) Epoch: [26][2070/11272] Time 0.751 (0.820) Data 0.002 (0.003) Loss 2.5158 (2.5883) Prec@1 40.625 (37.149) Prec@5 68.125 (67.787) Epoch: [26][2080/11272] Time 0.898 (0.820) Data 0.001 (0.003) Loss 2.4085 (2.5882) Prec@1 42.500 (37.149) Prec@5 74.375 (67.790) Epoch: [26][2090/11272] Time 0.870 (0.820) Data 0.001 (0.002) Loss 2.7028 (2.5877) Prec@1 35.000 (37.157) Prec@5 65.625 (67.799) Epoch: [26][2100/11272] Time 0.761 (0.820) Data 0.002 (0.002) Loss 2.7268 (2.5881) Prec@1 33.750 (37.153) Prec@5 65.000 (67.795) Epoch: [26][2110/11272] Time 0.786 (0.820) Data 0.001 (0.002) Loss 2.8269 (2.5887) Prec@1 33.125 (37.142) Prec@5 64.375 (67.791) Epoch: [26][2120/11272] Time 0.832 (0.820) Data 0.002 (0.002) Loss 2.4114 (2.5890) Prec@1 41.875 (37.138) Prec@5 70.000 (67.787) Epoch: [26][2130/11272] Time 0.755 (0.820) Data 0.003 (0.002) Loss 2.9732 (2.5892) Prec@1 31.875 (37.135) Prec@5 57.500 (67.777) Epoch: [26][2140/11272] Time 0.738 (0.820) Data 0.002 (0.002) Loss 2.5840 (2.5893) Prec@1 37.500 (37.138) Prec@5 66.875 (67.778) Epoch: [26][2150/11272] Time 0.854 (0.820) Data 0.001 (0.002) Loss 2.6772 (2.5892) Prec@1 38.125 (37.140) Prec@5 64.375 (67.776) Epoch: [26][2160/11272] Time 0.893 (0.820) Data 0.002 (0.002) Loss 2.8652 (2.5892) Prec@1 35.625 (37.142) Prec@5 61.875 (67.775) Epoch: [26][2170/11272] Time 0.745 (0.820) Data 0.002 (0.002) Loss 2.8446 (2.5894) Prec@1 37.500 (37.140) Prec@5 61.250 (67.768) Epoch: [26][2180/11272] Time 0.790 (0.820) Data 0.001 (0.002) Loss 2.5803 (2.5896) Prec@1 34.375 (37.141) Prec@5 65.625 (67.764) Epoch: [26][2190/11272] Time 0.836 (0.820) Data 0.001 (0.002) Loss 2.7421 (2.5899) Prec@1 31.875 (37.134) Prec@5 60.000 (67.756) Epoch: [26][2200/11272] Time 0.893 (0.820) Data 0.002 (0.002) Loss 2.5831 (2.5898) Prec@1 38.125 (37.136) Prec@5 66.250 (67.756) Epoch: [26][2210/11272] Time 0.775 (0.820) Data 0.002 (0.002) Loss 2.4641 (2.5896) Prec@1 39.375 (37.140) Prec@5 73.125 (67.757) Epoch: [26][2220/11272] Time 0.760 (0.820) Data 0.002 (0.002) Loss 2.4289 (2.5898) Prec@1 40.625 (37.138) Prec@5 71.250 (67.756) Epoch: [26][2230/11272] Time 0.855 (0.820) Data 0.001 (0.002) Loss 2.7443 (2.5896) Prec@1 31.250 (37.137) Prec@5 70.000 (67.760) Epoch: [26][2240/11272] Time 0.853 (0.820) Data 0.002 (0.002) Loss 2.7002 (2.5897) Prec@1 33.125 (37.134) Prec@5 63.750 (67.762) Epoch: [26][2250/11272] Time 0.734 (0.820) Data 0.001 (0.002) Loss 2.3242 (2.5894) Prec@1 40.000 (37.137) Prec@5 75.000 (67.766) Epoch: [26][2260/11272] Time 0.840 (0.820) Data 0.002 (0.002) Loss 2.3815 (2.5893) Prec@1 42.500 (37.143) Prec@5 70.000 (67.770) Epoch: [26][2270/11272] Time 0.878 (0.820) Data 0.001 (0.002) Loss 2.3840 (2.5894) Prec@1 37.500 (37.138) Prec@5 73.750 (67.766) Epoch: [26][2280/11272] Time 0.710 (0.820) Data 0.001 (0.002) Loss 2.8864 (2.5895) Prec@1 29.375 (37.138) Prec@5 64.375 (67.765) Epoch: [26][2290/11272] Time 0.737 (0.820) Data 0.001 (0.002) Loss 2.6942 (2.5897) Prec@1 37.500 (37.137) Prec@5 65.625 (67.758) Epoch: [26][2300/11272] Time 0.883 (0.820) Data 0.002 (0.002) Loss 2.5930 (2.5896) Prec@1 32.500 (37.134) Prec@5 70.000 (67.761) Epoch: [26][2310/11272] Time 0.881 (0.820) Data 0.002 (0.002) Loss 2.6263 (2.5899) Prec@1 38.750 (37.132) Prec@5 66.875 (67.754) Epoch: [26][2320/11272] Time 0.758 (0.820) Data 0.001 (0.002) Loss 2.6080 (2.5901) Prec@1 40.625 (37.122) Prec@5 64.375 (67.752) Epoch: [26][2330/11272] Time 0.752 (0.820) Data 0.001 (0.002) Loss 2.7045 (2.5904) Prec@1 35.000 (37.117) Prec@5 63.750 (67.746) Epoch: [26][2340/11272] Time 0.859 (0.820) Data 0.002 (0.002) Loss 2.6283 (2.5904) Prec@1 33.750 (37.117) Prec@5 67.500 (67.745) Epoch: [26][2350/11272] Time 0.814 (0.820) Data 0.001 (0.002) Loss 2.4105 (2.5903) Prec@1 43.125 (37.124) Prec@5 71.875 (67.752) Epoch: [26][2360/11272] Time 0.816 (0.820) Data 0.002 (0.002) Loss 2.7149 (2.5899) Prec@1 35.625 (37.132) Prec@5 63.125 (67.760) Epoch: [26][2370/11272] Time 0.722 (0.820) Data 0.001 (0.002) Loss 2.5928 (2.5898) Prec@1 39.375 (37.139) Prec@5 66.875 (67.767) Epoch: [26][2380/11272] Time 0.896 (0.820) Data 0.002 (0.002) Loss 2.6857 (2.5900) Prec@1 40.625 (37.137) Prec@5 65.625 (67.764) Epoch: [26][2390/11272] Time 0.868 (0.820) Data 0.001 (0.002) Loss 2.4853 (2.5900) Prec@1 37.500 (37.136) Prec@5 68.125 (67.762) Epoch: [26][2400/11272] Time 0.811 (0.820) Data 0.002 (0.002) Loss 2.3362 (2.5900) Prec@1 44.375 (37.144) Prec@5 71.250 (67.758) Epoch: [26][2410/11272] Time 0.864 (0.820) Data 0.002 (0.002) Loss 2.4654 (2.5897) Prec@1 38.750 (37.149) Prec@5 66.250 (67.761) Epoch: [26][2420/11272] Time 0.871 (0.820) Data 0.002 (0.002) Loss 2.6854 (2.5894) Prec@1 31.875 (37.148) Prec@5 66.250 (67.769) Epoch: [26][2430/11272] Time 0.836 (0.820) Data 0.002 (0.002) Loss 2.7953 (2.5896) Prec@1 33.125 (37.147) Prec@5 68.750 (67.771) Epoch: [26][2440/11272] Time 0.794 (0.820) Data 0.002 (0.002) Loss 3.0437 (2.5899) Prec@1 29.375 (37.149) Prec@5 60.000 (67.770) Epoch: [26][2450/11272] Time 0.856 (0.820) Data 0.001 (0.002) Loss 2.3025 (2.5897) Prec@1 45.625 (37.155) Prec@5 71.875 (67.769) Epoch: [26][2460/11272] Time 0.910 (0.820) Data 0.002 (0.002) Loss 2.4135 (2.5896) Prec@1 43.125 (37.157) Prec@5 70.625 (67.772) Epoch: [26][2470/11272] Time 0.751 (0.820) Data 0.001 (0.002) Loss 2.4298 (2.5896) Prec@1 36.250 (37.156) Prec@5 74.375 (67.772) Epoch: [26][2480/11272] Time 0.775 (0.820) Data 0.001 (0.002) Loss 2.5571 (2.5898) Prec@1 35.000 (37.152) Prec@5 66.250 (67.762) Epoch: [26][2490/11272] Time 0.816 (0.820) Data 0.001 (0.002) Loss 2.6427 (2.5897) Prec@1 39.375 (37.152) Prec@5 65.625 (67.762) Epoch: [26][2500/11272] Time 0.885 (0.820) Data 0.002 (0.002) Loss 2.5584 (2.5900) Prec@1 38.750 (37.144) Prec@5 67.500 (67.759) Epoch: [26][2510/11272] Time 0.740 (0.820) Data 0.002 (0.002) Loss 2.5791 (2.5904) Prec@1 38.125 (37.141) Prec@5 65.000 (67.751) Epoch: [26][2520/11272] Time 0.738 (0.820) Data 0.002 (0.002) Loss 2.7316 (2.5907) Prec@1 35.625 (37.137) Prec@5 63.125 (67.748) Epoch: [26][2530/11272] Time 0.872 (0.820) Data 0.001 (0.002) Loss 2.5025 (2.5907) Prec@1 41.250 (37.138) Prec@5 68.750 (67.750) Epoch: [26][2540/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.5728 (2.5909) Prec@1 40.625 (37.141) Prec@5 65.625 (67.751) Epoch: [26][2550/11272] Time 0.742 (0.820) Data 0.002 (0.002) Loss 2.2708 (2.5905) Prec@1 43.750 (37.149) Prec@5 74.375 (67.761) Epoch: [26][2560/11272] Time 0.866 (0.820) Data 0.002 (0.002) Loss 2.6276 (2.5904) Prec@1 33.750 (37.147) Prec@5 65.625 (67.763) Epoch: [26][2570/11272] Time 0.856 (0.820) Data 0.001 (0.002) Loss 2.4468 (2.5902) Prec@1 33.750 (37.145) Prec@5 73.750 (67.767) Epoch: [26][2580/11272] Time 0.763 (0.820) Data 0.002 (0.002) Loss 2.5320 (2.5903) Prec@1 38.125 (37.146) Prec@5 69.375 (67.765) Epoch: [26][2590/11272] Time 0.755 (0.820) Data 0.002 (0.002) Loss 2.4570 (2.5903) Prec@1 40.000 (37.148) Prec@5 67.500 (67.761) Epoch: [26][2600/11272] Time 0.898 (0.820) Data 0.002 (0.002) Loss 2.6056 (2.5902) Prec@1 36.250 (37.146) Prec@5 69.375 (67.762) Epoch: [26][2610/11272] Time 0.890 (0.820) Data 0.001 (0.002) Loss 2.8857 (2.5907) Prec@1 33.125 (37.137) Prec@5 61.250 (67.759) Epoch: [26][2620/11272] Time 0.785 (0.820) Data 0.002 (0.002) Loss 2.5356 (2.5906) Prec@1 32.500 (37.134) Prec@5 72.500 (67.758) Epoch: [26][2630/11272] Time 0.755 (0.820) Data 0.001 (0.002) Loss 2.6515 (2.5902) Prec@1 32.500 (37.138) Prec@5 69.375 (67.770) Epoch: [26][2640/11272] Time 0.896 (0.820) Data 0.002 (0.002) Loss 2.4115 (2.5896) Prec@1 43.750 (37.152) Prec@5 68.750 (67.781) Epoch: [26][2650/11272] Time 0.874 (0.820) Data 0.001 (0.002) Loss 2.7336 (2.5896) Prec@1 30.000 (37.152) Prec@5 62.500 (67.777) Epoch: [26][2660/11272] Time 0.743 (0.820) Data 0.002 (0.002) Loss 2.6201 (2.5898) Prec@1 37.500 (37.148) Prec@5 65.000 (67.774) Epoch: [26][2670/11272] Time 0.886 (0.820) Data 0.001 (0.002) Loss 2.4429 (2.5902) Prec@1 39.375 (37.141) Prec@5 72.500 (67.766) Epoch: [26][2680/11272] Time 0.917 (0.820) Data 0.002 (0.002) Loss 2.7791 (2.5905) Prec@1 36.250 (37.142) Prec@5 65.625 (67.763) Epoch: [26][2690/11272] Time 0.736 (0.820) Data 0.001 (0.002) Loss 2.6470 (2.5907) Prec@1 41.250 (37.142) Prec@5 63.750 (67.758) Epoch: [26][2700/11272] Time 0.781 (0.820) Data 0.002 (0.002) Loss 2.8487 (2.5906) Prec@1 34.375 (37.145) Prec@5 61.250 (67.755) Epoch: [26][2710/11272] Time 0.882 (0.820) Data 0.001 (0.002) Loss 2.5444 (2.5906) Prec@1 37.500 (37.148) Prec@5 71.875 (67.761) Epoch: [26][2720/11272] Time 0.890 (0.820) Data 0.002 (0.002) Loss 2.5359 (2.5907) Prec@1 38.750 (37.144) Prec@5 65.625 (67.757) Epoch: [26][2730/11272] Time 0.773 (0.820) Data 0.001 (0.002) Loss 2.8137 (2.5910) Prec@1 30.625 (37.133) Prec@5 62.500 (67.748) Epoch: [26][2740/11272] Time 0.753 (0.820) Data 0.002 (0.002) Loss 2.6699 (2.5913) Prec@1 32.500 (37.125) Prec@5 69.375 (67.745) Epoch: [26][2750/11272] Time 0.844 (0.820) Data 0.002 (0.002) Loss 2.4893 (2.5913) Prec@1 42.500 (37.125) Prec@5 73.125 (67.749) Epoch: [26][2760/11272] Time 0.861 (0.820) Data 0.002 (0.002) Loss 2.5752 (2.5915) Prec@1 38.125 (37.127) Prec@5 69.375 (67.744) Epoch: [26][2770/11272] Time 0.742 (0.820) Data 0.001 (0.002) Loss 2.8384 (2.5915) Prec@1 29.375 (37.127) Prec@5 62.500 (67.749) Epoch: [26][2780/11272] Time 0.797 (0.820) Data 0.002 (0.002) Loss 2.5520 (2.5914) Prec@1 35.625 (37.123) Prec@5 69.375 (67.749) Epoch: [26][2790/11272] Time 0.872 (0.820) Data 0.002 (0.002) Loss 2.6481 (2.5915) Prec@1 36.875 (37.118) Prec@5 66.250 (67.745) Epoch: [26][2800/11272] Time 0.755 (0.820) Data 0.004 (0.002) Loss 2.2724 (2.5913) Prec@1 44.375 (37.128) Prec@5 73.125 (67.751) Epoch: [26][2810/11272] Time 0.726 (0.819) Data 0.001 (0.002) Loss 2.4693 (2.5913) Prec@1 38.125 (37.122) Prec@5 71.250 (67.752) Epoch: [26][2820/11272] Time 0.831 (0.819) Data 0.001 (0.002) Loss 2.8285 (2.5913) Prec@1 33.750 (37.122) Prec@5 65.000 (67.756) Epoch: [26][2830/11272] Time 0.858 (0.819) Data 0.001 (0.002) Loss 2.4300 (2.5913) Prec@1 45.000 (37.121) Prec@5 70.625 (67.752) Epoch: [26][2840/11272] Time 0.782 (0.819) Data 0.002 (0.002) Loss 2.6443 (2.5914) Prec@1 37.500 (37.121) Prec@5 67.500 (67.753) Epoch: [26][2850/11272] Time 0.777 (0.819) Data 0.001 (0.002) Loss 2.6833 (2.5911) Prec@1 35.000 (37.124) Prec@5 66.250 (67.756) Epoch: [26][2860/11272] Time 0.841 (0.819) Data 0.002 (0.002) Loss 2.6651 (2.5911) Prec@1 33.750 (37.123) Prec@5 70.000 (67.760) Epoch: [26][2870/11272] Time 0.844 (0.819) Data 0.001 (0.002) Loss 2.7889 (2.5910) Prec@1 30.625 (37.121) Prec@5 64.375 (67.761) Epoch: [26][2880/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.4652 (2.5909) Prec@1 35.625 (37.118) Prec@5 70.625 (67.764) Epoch: [26][2890/11272] Time 0.759 (0.819) Data 0.001 (0.002) Loss 2.7553 (2.5909) Prec@1 37.500 (37.120) Prec@5 62.500 (67.761) Epoch: [26][2900/11272] Time 0.900 (0.819) Data 0.002 (0.002) Loss 2.6216 (2.5911) Prec@1 36.875 (37.119) Prec@5 67.500 (67.760) Epoch: [26][2910/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.5156 (2.5909) Prec@1 38.125 (37.120) Prec@5 71.875 (67.763) Epoch: [26][2920/11272] Time 0.783 (0.819) Data 0.002 (0.002) Loss 2.6483 (2.5908) Prec@1 36.875 (37.123) Prec@5 66.250 (67.762) Epoch: [26][2930/11272] Time 0.887 (0.819) Data 0.001 (0.002) Loss 2.7792 (2.5906) Prec@1 31.875 (37.124) Prec@5 59.375 (67.762) Epoch: [26][2940/11272] Time 0.931 (0.819) Data 0.002 (0.002) Loss 2.6042 (2.5906) Prec@1 35.000 (37.117) Prec@5 66.875 (67.761) Epoch: [26][2950/11272] Time 0.746 (0.819) Data 0.001 (0.002) Loss 2.4209 (2.5905) Prec@1 35.000 (37.119) Prec@5 70.000 (67.759) Epoch: [26][2960/11272] Time 0.788 (0.819) Data 0.002 (0.002) Loss 2.6547 (2.5905) Prec@1 34.375 (37.121) Prec@5 70.625 (67.764) Epoch: [26][2970/11272] Time 0.833 (0.819) Data 0.001 (0.002) Loss 2.3966 (2.5903) Prec@1 39.375 (37.125) Prec@5 72.500 (67.762) Epoch: [26][2980/11272] Time 0.860 (0.819) Data 0.001 (0.002) Loss 2.5763 (2.5903) Prec@1 33.750 (37.124) Prec@5 68.125 (67.761) Epoch: [26][2990/11272] Time 0.732 (0.819) Data 0.001 (0.002) Loss 2.6765 (2.5903) Prec@1 36.875 (37.128) Prec@5 67.500 (67.761) Epoch: [26][3000/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.7823 (2.5904) Prec@1 34.375 (37.131) Prec@5 66.250 (67.759) Epoch: [26][3010/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.5137 (2.5905) Prec@1 40.000 (37.128) Prec@5 70.625 (67.756) Epoch: [26][3020/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.6689 (2.5907) Prec@1 37.500 (37.127) Prec@5 67.500 (67.756) Epoch: [26][3030/11272] Time 0.733 (0.819) Data 0.001 (0.002) Loss 2.5628 (2.5908) Prec@1 36.250 (37.125) Prec@5 66.875 (67.756) Epoch: [26][3040/11272] Time 0.729 (0.819) Data 0.002 (0.002) Loss 2.5819 (2.5908) Prec@1 41.875 (37.124) Prec@5 66.875 (67.755) Epoch: [26][3050/11272] Time 0.848 (0.820) Data 0.002 (0.002) Loss 2.6508 (2.5908) Prec@1 37.500 (37.123) Prec@5 67.500 (67.759) Epoch: [26][3060/11272] Time 0.768 (0.819) Data 0.005 (0.002) Loss 2.5434 (2.5906) Prec@1 40.000 (37.121) Prec@5 70.625 (67.762) Epoch: [26][3070/11272] Time 0.778 (0.819) Data 0.002 (0.002) Loss 2.4157 (2.5908) Prec@1 38.125 (37.115) Prec@5 68.125 (67.759) Epoch: [26][3080/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.5935 (2.5908) Prec@1 40.000 (37.112) Prec@5 70.000 (67.765) Epoch: [26][3090/11272] Time 0.930 (0.819) Data 0.002 (0.002) Loss 2.4487 (2.5909) Prec@1 36.875 (37.106) Prec@5 70.000 (67.765) Epoch: [26][3100/11272] Time 0.777 (0.819) Data 0.002 (0.002) Loss 2.8933 (2.5909) Prec@1 28.125 (37.100) Prec@5 64.375 (67.767) Epoch: [26][3110/11272] Time 0.734 (0.819) Data 0.001 (0.002) Loss 2.5804 (2.5910) Prec@1 32.500 (37.093) Prec@5 68.125 (67.765) Epoch: [26][3120/11272] Time 0.848 (0.819) Data 0.002 (0.002) Loss 2.5592 (2.5911) Prec@1 35.000 (37.090) Prec@5 69.375 (67.764) Epoch: [26][3130/11272] Time 0.869 (0.819) Data 0.001 (0.002) Loss 2.5496 (2.5908) Prec@1 40.000 (37.097) Prec@5 68.750 (67.769) Epoch: [26][3140/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.5121 (2.5906) Prec@1 38.125 (37.103) Prec@5 70.000 (67.771) Epoch: [26][3150/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.5912 (2.5909) Prec@1 37.500 (37.102) Prec@5 66.250 (67.763) Epoch: [26][3160/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.4755 (2.5907) Prec@1 42.500 (37.102) Prec@5 70.000 (67.766) Epoch: [26][3170/11272] Time 0.838 (0.819) Data 0.001 (0.002) Loss 2.5981 (2.5908) Prec@1 36.250 (37.103) Prec@5 68.750 (67.762) Epoch: [26][3180/11272] Time 0.760 (0.819) Data 0.002 (0.002) Loss 2.4099 (2.5905) Prec@1 41.875 (37.110) Prec@5 66.250 (67.768) Epoch: [26][3190/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.6864 (2.5907) Prec@1 35.625 (37.106) Prec@5 64.375 (67.769) Epoch: [26][3200/11272] Time 0.894 (0.819) Data 0.001 (0.002) Loss 2.6526 (2.5909) Prec@1 39.375 (37.106) Prec@5 68.125 (67.764) Epoch: [26][3210/11272] Time 0.741 (0.819) Data 0.001 (0.002) Loss 2.6054 (2.5910) Prec@1 36.875 (37.104) Prec@5 68.125 (67.763) Epoch: [26][3220/11272] Time 0.770 (0.819) Data 0.001 (0.002) Loss 2.3353 (2.5907) Prec@1 41.250 (37.107) Prec@5 72.500 (67.772) Epoch: [26][3230/11272] Time 0.926 (0.819) Data 0.002 (0.002) Loss 2.6097 (2.5906) Prec@1 36.250 (37.107) Prec@5 66.250 (67.774) Epoch: [26][3240/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.7794 (2.5904) Prec@1 37.500 (37.112) Prec@5 63.750 (67.778) Epoch: [26][3250/11272] Time 0.725 (0.819) Data 0.001 (0.002) Loss 2.4337 (2.5906) Prec@1 40.625 (37.112) Prec@5 69.375 (67.776) Epoch: [26][3260/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.5103 (2.5902) Prec@1 36.875 (37.115) Prec@5 70.625 (67.783) Epoch: [26][3270/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.6366 (2.5903) Prec@1 36.875 (37.112) Prec@5 64.375 (67.779) Epoch: [26][3280/11272] Time 0.854 (0.819) Data 0.002 (0.002) Loss 2.4352 (2.5904) Prec@1 36.250 (37.105) Prec@5 70.625 (67.777) Epoch: [26][3290/11272] Time 0.797 (0.819) Data 0.001 (0.002) Loss 2.6392 (2.5904) Prec@1 40.625 (37.105) Prec@5 69.375 (67.777) Epoch: [26][3300/11272] Time 0.791 (0.819) Data 0.002 (0.002) Loss 2.4123 (2.5903) Prec@1 38.125 (37.106) Prec@5 73.125 (67.777) Epoch: [26][3310/11272] Time 0.864 (0.819) Data 0.001 (0.002) Loss 2.5739 (2.5907) Prec@1 38.750 (37.103) Prec@5 65.000 (67.771) Epoch: [26][3320/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.6646 (2.5907) Prec@1 36.875 (37.108) Prec@5 61.875 (67.770) Epoch: [26][3330/11272] Time 0.757 (0.819) Data 0.002 (0.002) Loss 2.5474 (2.5906) Prec@1 35.000 (37.109) Prec@5 71.875 (67.780) Epoch: [26][3340/11272] Time 0.844 (0.819) Data 0.001 (0.002) Loss 2.6543 (2.5906) Prec@1 36.250 (37.105) Prec@5 66.250 (67.779) Epoch: [26][3350/11272] Time 0.854 (0.819) Data 0.001 (0.002) Loss 2.4252 (2.5906) Prec@1 40.625 (37.105) Prec@5 71.250 (67.782) Epoch: [26][3360/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.7249 (2.5908) Prec@1 33.750 (37.107) Prec@5 63.125 (67.777) Epoch: [26][3370/11272] Time 0.747 (0.819) Data 0.001 (0.002) Loss 2.6681 (2.5908) Prec@1 34.375 (37.107) Prec@5 68.125 (67.773) Epoch: [26][3380/11272] Time 0.870 (0.819) Data 0.002 (0.002) Loss 2.4094 (2.5908) Prec@1 36.250 (37.101) Prec@5 71.875 (67.772) Epoch: [26][3390/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.5093 (2.5905) Prec@1 39.375 (37.109) Prec@5 65.625 (67.779) Epoch: [26][3400/11272] Time 0.746 (0.819) Data 0.001 (0.002) Loss 2.5789 (2.5905) Prec@1 30.000 (37.107) Prec@5 67.500 (67.779) Epoch: [26][3410/11272] Time 0.739 (0.819) Data 0.003 (0.002) Loss 2.6644 (2.5906) Prec@1 38.125 (37.106) Prec@5 63.125 (67.781) Epoch: [26][3420/11272] Time 0.865 (0.819) Data 0.002 (0.002) Loss 2.6904 (2.5906) Prec@1 34.375 (37.109) Prec@5 68.750 (67.782) Epoch: [26][3430/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.7961 (2.5909) Prec@1 31.875 (37.100) Prec@5 63.125 (67.777) Epoch: [26][3440/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.5845 (2.5910) Prec@1 32.500 (37.095) Prec@5 65.000 (67.774) Epoch: [26][3450/11272] Time 0.752 (0.819) Data 0.001 (0.002) Loss 2.5137 (2.5910) Prec@1 36.875 (37.094) Prec@5 66.875 (67.771) Epoch: [26][3460/11272] Time 0.845 (0.819) Data 0.002 (0.002) Loss 2.9006 (2.5910) Prec@1 35.000 (37.095) Prec@5 61.875 (67.773) Epoch: [26][3470/11272] Time 0.728 (0.819) Data 0.001 (0.002) Loss 2.4239 (2.5910) Prec@1 46.250 (37.099) Prec@5 70.625 (67.770) Epoch: [26][3480/11272] Time 0.762 (0.819) Data 0.002 (0.002) Loss 2.4227 (2.5910) Prec@1 35.625 (37.097) Prec@5 70.625 (67.772) Epoch: [26][3490/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.6788 (2.5911) Prec@1 31.875 (37.092) Prec@5 71.250 (67.771) Epoch: [26][3500/11272] Time 0.911 (0.819) Data 0.002 (0.002) Loss 2.6310 (2.5910) Prec@1 40.625 (37.097) Prec@5 65.625 (67.775) Epoch: [26][3510/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.4305 (2.5912) Prec@1 40.000 (37.097) Prec@5 73.750 (67.771) Epoch: [26][3520/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.6169 (2.5913) Prec@1 36.875 (37.095) Prec@5 68.750 (67.765) Epoch: [26][3530/11272] Time 0.840 (0.819) Data 0.001 (0.002) Loss 2.6502 (2.5914) Prec@1 35.000 (37.088) Prec@5 67.500 (67.761) Epoch: [26][3540/11272] Time 0.888 (0.819) Data 0.002 (0.002) Loss 2.6737 (2.5916) Prec@1 36.250 (37.085) Prec@5 67.500 (67.758) Epoch: [26][3550/11272] Time 0.737 (0.819) Data 0.001 (0.002) Loss 2.5179 (2.5917) Prec@1 35.000 (37.083) Prec@5 69.375 (67.754) Epoch: [26][3560/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.6098 (2.5918) Prec@1 33.750 (37.080) Prec@5 66.250 (67.752) Epoch: [26][3570/11272] Time 0.841 (0.819) Data 0.001 (0.002) Loss 2.5341 (2.5919) Prec@1 38.125 (37.078) Prec@5 71.250 (67.751) Epoch: [26][3580/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.5658 (2.5920) Prec@1 40.625 (37.077) Prec@5 69.375 (67.746) Epoch: [26][3590/11272] Time 0.778 (0.819) Data 0.001 (0.002) Loss 2.7445 (2.5922) Prec@1 36.250 (37.079) Prec@5 64.375 (67.740) Epoch: [26][3600/11272] Time 0.888 (0.819) Data 0.002 (0.002) Loss 2.5937 (2.5923) Prec@1 35.625 (37.079) Prec@5 68.125 (67.738) Epoch: [26][3610/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.5142 (2.5923) Prec@1 35.000 (37.080) Prec@5 71.250 (67.738) Epoch: [26][3620/11272] Time 0.757 (0.819) Data 0.002 (0.002) Loss 2.5896 (2.5923) Prec@1 40.000 (37.081) Prec@5 66.875 (67.738) Epoch: [26][3630/11272] Time 0.787 (0.819) Data 0.001 (0.002) Loss 2.7952 (2.5922) Prec@1 35.000 (37.084) Prec@5 60.000 (67.740) Epoch: [26][3640/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.8028 (2.5920) Prec@1 36.875 (37.089) Prec@5 61.875 (67.740) Epoch: [26][3650/11272] Time 0.875 (0.819) Data 0.001 (0.002) Loss 2.4660 (2.5920) Prec@1 42.500 (37.093) Prec@5 70.000 (67.744) Epoch: [26][3660/11272] Time 0.736 (0.819) Data 0.002 (0.002) Loss 2.4941 (2.5920) Prec@1 37.500 (37.093) Prec@5 68.750 (67.740) Epoch: [26][3670/11272] Time 0.753 (0.819) Data 0.001 (0.002) Loss 2.6053 (2.5917) Prec@1 32.500 (37.095) Prec@5 68.125 (67.743) Epoch: [26][3680/11272] Time 0.866 (0.819) Data 0.002 (0.002) Loss 2.5971 (2.5915) Prec@1 33.750 (37.100) Prec@5 65.625 (67.748) Epoch: [26][3690/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.4441 (2.5915) Prec@1 46.250 (37.102) Prec@5 67.500 (67.746) Epoch: [26][3700/11272] Time 0.763 (0.819) Data 0.002 (0.002) Loss 2.6399 (2.5915) Prec@1 38.125 (37.102) Prec@5 65.000 (67.746) Epoch: [26][3710/11272] Time 0.736 (0.819) Data 0.002 (0.002) Loss 2.6548 (2.5917) Prec@1 36.875 (37.101) Prec@5 64.375 (67.739) Epoch: [26][3720/11272] Time 0.923 (0.819) Data 0.002 (0.002) Loss 2.4527 (2.5918) Prec@1 43.750 (37.100) Prec@5 70.625 (67.740) Epoch: [26][3730/11272] Time 0.725 (0.819) Data 0.003 (0.002) Loss 2.6500 (2.5917) Prec@1 32.500 (37.099) Prec@5 65.625 (67.737) Epoch: [26][3740/11272] Time 0.761 (0.819) Data 0.001 (0.002) Loss 2.6536 (2.5918) Prec@1 39.375 (37.095) Prec@5 67.500 (67.737) Epoch: [26][3750/11272] Time 0.859 (0.819) Data 0.001 (0.002) Loss 2.5103 (2.5914) Prec@1 36.250 (37.102) Prec@5 71.875 (67.743) Epoch: [26][3760/11272] Time 0.871 (0.819) Data 0.002 (0.002) Loss 2.6460 (2.5915) Prec@1 36.875 (37.102) Prec@5 64.375 (67.743) Epoch: [26][3770/11272] Time 0.789 (0.819) Data 0.001 (0.002) Loss 2.3612 (2.5914) Prec@1 36.875 (37.097) Prec@5 71.875 (67.748) Epoch: [26][3780/11272] Time 0.772 (0.819) Data 0.002 (0.002) Loss 2.5689 (2.5913) Prec@1 39.375 (37.099) Prec@5 65.000 (67.745) Epoch: [26][3790/11272] Time 0.844 (0.819) Data 0.002 (0.002) Loss 2.6148 (2.5913) Prec@1 36.250 (37.101) Prec@5 66.250 (67.748) Epoch: [26][3800/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.4512 (2.5911) Prec@1 41.875 (37.104) Prec@5 69.375 (67.751) Epoch: [26][3810/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.4778 (2.5911) Prec@1 36.250 (37.100) Prec@5 70.000 (67.753) Epoch: [26][3820/11272] Time 0.725 (0.819) Data 0.002 (0.002) Loss 2.3980 (2.5909) Prec@1 40.625 (37.105) Prec@5 71.875 (67.757) Epoch: [26][3830/11272] Time 0.845 (0.819) Data 0.001 (0.002) Loss 2.7021 (2.5907) Prec@1 35.000 (37.108) Prec@5 68.125 (67.761) Epoch: [26][3840/11272] Time 0.817 (0.819) Data 0.002 (0.002) Loss 2.3453 (2.5906) Prec@1 42.500 (37.110) Prec@5 70.000 (67.764) Epoch: [26][3850/11272] Time 0.758 (0.819) Data 0.001 (0.002) Loss 2.4883 (2.5907) Prec@1 36.250 (37.107) Prec@5 69.375 (67.763) Epoch: [26][3860/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.6060 (2.5906) Prec@1 34.375 (37.106) Prec@5 66.250 (67.764) Epoch: [26][3870/11272] Time 0.845 (0.819) Data 0.001 (0.002) Loss 2.7319 (2.5909) Prec@1 35.625 (37.100) Prec@5 63.750 (67.758) Epoch: [26][3880/11272] Time 0.742 (0.819) Data 0.001 (0.002) Loss 2.6725 (2.5910) Prec@1 39.375 (37.099) Prec@5 68.125 (67.755) Epoch: [26][3890/11272] Time 0.752 (0.819) Data 0.001 (0.002) Loss 2.6998 (2.5910) Prec@1 35.000 (37.097) Prec@5 62.500 (67.755) Epoch: [26][3900/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.4785 (2.5908) Prec@1 40.625 (37.100) Prec@5 70.000 (67.759) Epoch: [26][3910/11272] Time 0.859 (0.819) Data 0.001 (0.002) Loss 2.7869 (2.5909) Prec@1 36.250 (37.096) Prec@5 62.500 (67.756) Epoch: [26][3920/11272] Time 0.745 (0.819) Data 0.001 (0.002) Loss 2.6812 (2.5911) Prec@1 35.625 (37.094) Prec@5 66.875 (67.751) Epoch: [26][3930/11272] Time 0.755 (0.819) Data 0.001 (0.002) Loss 2.3481 (2.5910) Prec@1 33.750 (37.092) Prec@5 71.875 (67.753) Epoch: [26][3940/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.4023 (2.5909) Prec@1 39.375 (37.094) Prec@5 74.375 (67.758) Epoch: [26][3950/11272] Time 0.852 (0.819) Data 0.001 (0.002) Loss 2.7355 (2.5908) Prec@1 35.000 (37.097) Prec@5 63.750 (67.759) Epoch: [26][3960/11272] Time 0.748 (0.819) Data 0.001 (0.002) Loss 2.6100 (2.5908) Prec@1 33.750 (37.096) Prec@5 69.375 (67.758) Epoch: [26][3970/11272] Time 0.810 (0.819) Data 0.001 (0.002) Loss 2.7173 (2.5910) Prec@1 35.000 (37.094) Prec@5 67.500 (67.752) Epoch: [26][3980/11272] Time 0.905 (0.819) Data 0.002 (0.002) Loss 2.6313 (2.5912) Prec@1 39.375 (37.093) Prec@5 63.125 (67.746) Epoch: [26][3990/11272] Time 0.739 (0.819) Data 0.003 (0.002) Loss 2.4256 (2.5912) Prec@1 43.125 (37.093) Prec@5 70.625 (67.747) Epoch: [26][4000/11272] Time 0.783 (0.819) Data 0.002 (0.002) Loss 2.6905 (2.5914) Prec@1 38.750 (37.090) Prec@5 70.000 (67.744) Epoch: [26][4010/11272] Time 0.847 (0.819) Data 0.002 (0.002) Loss 2.5796 (2.5914) Prec@1 39.375 (37.090) Prec@5 66.250 (67.741) Epoch: [26][4020/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.7248 (2.5916) Prec@1 30.625 (37.083) Prec@5 58.125 (67.736) Epoch: [26][4030/11272] Time 0.734 (0.819) Data 0.002 (0.002) Loss 2.6385 (2.5916) Prec@1 36.250 (37.082) Prec@5 66.250 (67.739) Epoch: [26][4040/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.5029 (2.5917) Prec@1 40.000 (37.077) Prec@5 73.750 (67.737) Epoch: [26][4050/11272] Time 0.900 (0.819) Data 0.002 (0.002) Loss 2.4052 (2.5916) Prec@1 40.000 (37.079) Prec@5 70.625 (67.740) Epoch: [26][4060/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.6733 (2.5918) Prec@1 34.375 (37.073) Prec@5 63.125 (67.737) Epoch: [26][4070/11272] Time 0.724 (0.819) Data 0.001 (0.002) Loss 2.6985 (2.5918) Prec@1 35.000 (37.068) Prec@5 63.750 (67.734) Epoch: [26][4080/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.7407 (2.5920) Prec@1 36.250 (37.065) Prec@5 61.875 (67.732) Epoch: [26][4090/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.6981 (2.5920) Prec@1 33.125 (37.064) Prec@5 63.750 (67.734) Epoch: [26][4100/11272] Time 0.892 (0.819) Data 0.001 (0.002) Loss 2.5149 (2.5922) Prec@1 36.875 (37.058) Prec@5 70.000 (67.727) Epoch: [26][4110/11272] Time 0.746 (0.819) Data 0.001 (0.002) Loss 2.3867 (2.5921) Prec@1 41.875 (37.061) Prec@5 73.750 (67.729) Epoch: [26][4120/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.4594 (2.5920) Prec@1 37.500 (37.061) Prec@5 70.000 (67.732) Epoch: [26][4130/11272] Time 0.832 (0.819) Data 0.001 (0.002) Loss 2.7950 (2.5921) Prec@1 33.750 (37.058) Prec@5 66.250 (67.731) Epoch: [26][4140/11272] Time 0.814 (0.819) Data 0.002 (0.002) Loss 2.5962 (2.5923) Prec@1 38.125 (37.055) Prec@5 70.625 (67.731) Epoch: [26][4150/11272] Time 0.782 (0.819) Data 0.001 (0.002) Loss 2.6673 (2.5922) Prec@1 35.625 (37.060) Prec@5 65.625 (67.732) Epoch: [26][4160/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.3026 (2.5921) Prec@1 42.500 (37.062) Prec@5 73.750 (67.734) Epoch: [26][4170/11272] Time 0.879 (0.819) Data 0.001 (0.002) Loss 2.5782 (2.5922) Prec@1 34.375 (37.060) Prec@5 71.875 (67.731) Epoch: [26][4180/11272] Time 0.804 (0.819) Data 0.002 (0.002) Loss 2.6489 (2.5921) Prec@1 31.250 (37.060) Prec@5 68.750 (67.733) Epoch: [26][4190/11272] Time 0.729 (0.819) Data 0.002 (0.002) Loss 2.3221 (2.5921) Prec@1 42.500 (37.061) Prec@5 72.500 (67.731) Epoch: [26][4200/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.7684 (2.5921) Prec@1 36.250 (37.063) Prec@5 63.750 (67.730) Epoch: [26][4210/11272] Time 0.843 (0.819) Data 0.001 (0.002) Loss 2.5773 (2.5920) Prec@1 33.125 (37.068) Prec@5 65.000 (67.734) Epoch: [26][4220/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.4398 (2.5918) Prec@1 40.000 (37.074) Prec@5 69.375 (67.740) Epoch: [26][4230/11272] Time 0.794 (0.819) Data 0.001 (0.002) Loss 2.4169 (2.5920) Prec@1 40.625 (37.070) Prec@5 68.750 (67.735) Epoch: [26][4240/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.4894 (2.5919) Prec@1 35.625 (37.070) Prec@5 66.250 (67.738) Epoch: [26][4250/11272] Time 0.849 (0.819) Data 0.001 (0.002) Loss 2.7719 (2.5919) Prec@1 31.250 (37.066) Prec@5 65.625 (67.738) Epoch: [26][4260/11272] Time 0.760 (0.819) Data 0.002 (0.002) Loss 2.6655 (2.5921) Prec@1 35.000 (37.064) Prec@5 65.000 (67.736) Epoch: [26][4270/11272] Time 0.935 (0.819) Data 0.001 (0.002) Loss 2.9166 (2.5922) Prec@1 32.500 (37.062) Prec@5 62.500 (67.740) Epoch: [26][4280/11272] Time 0.908 (0.819) Data 0.003 (0.002) Loss 2.3858 (2.5922) Prec@1 39.375 (37.062) Prec@5 71.875 (67.737) Epoch: [26][4290/11272] Time 0.754 (0.819) Data 0.004 (0.002) Loss 2.6396 (2.5923) Prec@1 35.625 (37.059) Prec@5 68.750 (67.736) Epoch: [26][4300/11272] Time 0.810 (0.819) Data 0.002 (0.002) Loss 2.5125 (2.5922) Prec@1 35.625 (37.059) Prec@5 73.125 (67.738) Epoch: [26][4310/11272] Time 0.829 (0.819) Data 0.001 (0.002) Loss 2.6021 (2.5924) Prec@1 33.125 (37.051) Prec@5 71.875 (67.737) Epoch: [26][4320/11272] Time 0.859 (0.819) Data 0.002 (0.002) Loss 2.7163 (2.5925) Prec@1 38.125 (37.048) Prec@5 65.625 (67.736) Epoch: [26][4330/11272] Time 0.732 (0.819) Data 0.001 (0.002) Loss 2.4975 (2.5926) Prec@1 36.875 (37.049) Prec@5 70.625 (67.734) Epoch: [26][4340/11272] Time 0.779 (0.819) Data 0.002 (0.002) Loss 2.8667 (2.5927) Prec@1 35.000 (37.049) Prec@5 61.875 (67.733) Epoch: [26][4350/11272] Time 0.860 (0.819) Data 0.001 (0.002) Loss 2.8783 (2.5928) Prec@1 26.875 (37.046) Prec@5 62.500 (67.733) Epoch: [26][4360/11272] Time 0.875 (0.819) Data 0.002 (0.002) Loss 2.9452 (2.5928) Prec@1 31.875 (37.047) Prec@5 59.375 (67.731) Epoch: [26][4370/11272] Time 0.735 (0.819) Data 0.002 (0.002) Loss 2.8026 (2.5929) Prec@1 33.125 (37.048) Prec@5 63.750 (67.727) Epoch: [26][4380/11272] Time 0.768 (0.819) Data 0.001 (0.002) Loss 2.6998 (2.5928) Prec@1 37.500 (37.050) Prec@5 67.500 (67.730) Epoch: [26][4390/11272] Time 0.864 (0.819) Data 0.002 (0.002) Loss 2.8486 (2.5929) Prec@1 33.750 (37.047) Prec@5 63.750 (67.726) Epoch: [26][4400/11272] Time 0.769 (0.819) Data 0.002 (0.002) Loss 2.8909 (2.5929) Prec@1 32.500 (37.044) Prec@5 62.500 (67.724) Epoch: [26][4410/11272] Time 0.724 (0.819) Data 0.001 (0.002) Loss 2.4861 (2.5929) Prec@1 38.750 (37.045) Prec@5 69.375 (67.723) Epoch: [26][4420/11272] Time 0.880 (0.819) Data 0.002 (0.002) Loss 2.5950 (2.5928) Prec@1 35.000 (37.049) Prec@5 66.250 (67.726) Epoch: [26][4430/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.9163 (2.5930) Prec@1 32.500 (37.044) Prec@5 61.875 (67.722) Epoch: [26][4440/11272] Time 0.732 (0.819) Data 0.002 (0.002) Loss 2.4723 (2.5930) Prec@1 41.875 (37.046) Prec@5 65.625 (67.723) Epoch: [26][4450/11272] Time 0.793 (0.819) Data 0.001 (0.002) Loss 2.7251 (2.5929) Prec@1 37.500 (37.046) Prec@5 63.125 (67.727) Epoch: [26][4460/11272] Time 0.860 (0.819) Data 0.002 (0.002) Loss 2.4085 (2.5928) Prec@1 43.125 (37.048) Prec@5 68.750 (67.729) Epoch: [26][4470/11272] Time 0.875 (0.819) Data 0.001 (0.002) Loss 2.6627 (2.5929) Prec@1 40.000 (37.050) Prec@5 65.000 (67.727) Epoch: [26][4480/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.5842 (2.5927) Prec@1 32.500 (37.054) Prec@5 71.250 (67.732) Epoch: [26][4490/11272] Time 0.736 (0.819) Data 0.001 (0.002) Loss 2.7008 (2.5928) Prec@1 35.625 (37.047) Prec@5 67.500 (67.731) Epoch: [26][4500/11272] Time 0.845 (0.819) Data 0.001 (0.002) Loss 2.6436 (2.5928) Prec@1 38.750 (37.047) Prec@5 68.750 (67.732) Epoch: [26][4510/11272] Time 0.914 (0.819) Data 0.001 (0.002) Loss 2.4722 (2.5928) Prec@1 36.250 (37.047) Prec@5 71.250 (67.733) Epoch: [26][4520/11272] Time 0.761 (0.819) Data 0.002 (0.002) Loss 2.7892 (2.5929) Prec@1 35.625 (37.044) Prec@5 63.125 (67.732) Epoch: [26][4530/11272] Time 0.885 (0.819) Data 0.001 (0.002) Loss 2.5035 (2.5930) Prec@1 39.375 (37.041) Prec@5 68.750 (67.733) Epoch: [26][4540/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.5927 (2.5930) Prec@1 35.625 (37.043) Prec@5 68.125 (67.733) Epoch: [26][4550/11272] Time 0.730 (0.819) Data 0.001 (0.002) Loss 2.5604 (2.5930) Prec@1 29.375 (37.043) Prec@5 68.125 (67.733) Epoch: [26][4560/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.5909 (2.5929) Prec@1 35.000 (37.041) Prec@5 73.750 (67.735) Epoch: [26][4570/11272] Time 0.837 (0.819) Data 0.001 (0.002) Loss 2.6647 (2.5930) Prec@1 38.750 (37.037) Prec@5 66.250 (67.731) Epoch: [26][4580/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6234 (2.5930) Prec@1 35.000 (37.034) Prec@5 69.375 (67.730) Epoch: [26][4590/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.4597 (2.5930) Prec@1 34.375 (37.034) Prec@5 70.000 (67.733) Epoch: [26][4600/11272] Time 0.772 (0.819) Data 0.002 (0.002) Loss 2.4254 (2.5931) Prec@1 39.375 (37.034) Prec@5 68.125 (67.731) Epoch: [26][4610/11272] Time 0.841 (0.819) Data 0.001 (0.002) Loss 2.5359 (2.5930) Prec@1 37.500 (37.034) Prec@5 68.750 (67.732) Epoch: [26][4620/11272] Time 0.949 (0.819) Data 0.002 (0.002) Loss 2.6677 (2.5928) Prec@1 35.000 (37.036) Prec@5 64.375 (67.734) Epoch: [26][4630/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.8775 (2.5927) Prec@1 32.500 (37.040) Prec@5 65.000 (67.738) Epoch: [26][4640/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.6750 (2.5930) Prec@1 33.750 (37.039) Prec@5 68.125 (67.733) Epoch: [26][4650/11272] Time 0.888 (0.819) Data 0.001 (0.002) Loss 2.7640 (2.5931) Prec@1 37.500 (37.038) Prec@5 65.625 (67.734) Epoch: [26][4660/11272] Time 0.768 (0.819) Data 0.004 (0.002) Loss 2.6097 (2.5931) Prec@1 37.500 (37.037) Prec@5 63.750 (67.731) Epoch: [26][4670/11272] Time 0.794 (0.819) Data 0.002 (0.002) Loss 2.5469 (2.5931) Prec@1 38.750 (37.034) Prec@5 66.250 (67.731) Epoch: [26][4680/11272] Time 0.903 (0.819) Data 0.002 (0.002) Loss 2.3305 (2.5930) Prec@1 40.000 (37.037) Prec@5 70.000 (67.730) Epoch: [26][4690/11272] Time 0.836 (0.819) Data 0.001 (0.002) Loss 2.3861 (2.5930) Prec@1 36.250 (37.035) Prec@5 68.750 (67.731) Epoch: [26][4700/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.4449 (2.5929) Prec@1 39.375 (37.035) Prec@5 66.250 (67.732) Epoch: [26][4710/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.4481 (2.5929) Prec@1 38.750 (37.036) Prec@5 70.000 (67.732) Epoch: [26][4720/11272] Time 0.910 (0.819) Data 0.002 (0.002) Loss 2.7092 (2.5929) Prec@1 36.250 (37.038) Prec@5 66.875 (67.735) Epoch: [26][4730/11272] Time 0.875 (0.819) Data 0.001 (0.002) Loss 2.8340 (2.5931) Prec@1 28.750 (37.035) Prec@5 61.875 (67.729) Epoch: [26][4740/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.6147 (2.5930) Prec@1 37.500 (37.032) Prec@5 66.250 (67.729) Epoch: [26][4750/11272] Time 0.748 (0.819) Data 0.001 (0.002) Loss 2.5715 (2.5929) Prec@1 38.125 (37.037) Prec@5 70.000 (67.731) Epoch: [26][4760/11272] Time 0.852 (0.819) Data 0.001 (0.002) Loss 2.5376 (2.5930) Prec@1 38.750 (37.036) Prec@5 66.875 (67.727) Epoch: [26][4770/11272] Time 0.891 (0.819) Data 0.001 (0.002) Loss 2.6698 (2.5931) Prec@1 39.375 (37.035) Prec@5 60.000 (67.724) Epoch: [26][4780/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.4910 (2.5933) Prec@1 40.625 (37.031) Prec@5 70.000 (67.721) Epoch: [26][4790/11272] Time 0.922 (0.819) Data 0.002 (0.002) Loss 2.4875 (2.5934) Prec@1 38.750 (37.031) Prec@5 72.500 (67.718) Epoch: [26][4800/11272] Time 0.880 (0.819) Data 0.002 (0.002) Loss 2.5928 (2.5934) Prec@1 35.000 (37.027) Prec@5 66.875 (67.719) Epoch: [26][4810/11272] Time 0.738 (0.819) Data 0.001 (0.002) Loss 2.3976 (2.5934) Prec@1 41.875 (37.026) Prec@5 75.625 (67.721) Epoch: [26][4820/11272] Time 0.757 (0.819) Data 0.002 (0.002) Loss 2.7837 (2.5935) Prec@1 31.250 (37.025) Prec@5 69.375 (67.718) Epoch: [26][4830/11272] Time 0.890 (0.819) Data 0.001 (0.002) Loss 2.6029 (2.5935) Prec@1 31.875 (37.024) Prec@5 72.500 (67.722) Epoch: [26][4840/11272] Time 0.907 (0.819) Data 0.002 (0.002) Loss 2.5546 (2.5935) Prec@1 41.250 (37.022) Prec@5 66.875 (67.721) Epoch: [26][4850/11272] Time 0.727 (0.819) Data 0.001 (0.002) Loss 2.5493 (2.5934) Prec@1 40.000 (37.025) Prec@5 65.625 (67.724) Epoch: [26][4860/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.6627 (2.5932) Prec@1 38.750 (37.028) Prec@5 65.000 (67.727) Epoch: [26][4870/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.8747 (2.5933) Prec@1 29.375 (37.027) Prec@5 61.875 (67.724) Epoch: [26][4880/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.5967 (2.5935) Prec@1 37.500 (37.020) Prec@5 68.125 (67.721) Epoch: [26][4890/11272] Time 0.747 (0.819) Data 0.001 (0.002) Loss 2.5014 (2.5935) Prec@1 42.500 (37.022) Prec@5 67.500 (67.723) Epoch: [26][4900/11272] Time 0.799 (0.819) Data 0.002 (0.002) Loss 2.5917 (2.5935) Prec@1 39.375 (37.023) Prec@5 65.625 (67.721) Epoch: [26][4910/11272] Time 0.848 (0.819) Data 0.001 (0.002) Loss 2.3162 (2.5934) Prec@1 43.750 (37.025) Prec@5 70.625 (67.723) Epoch: [26][4920/11272] Time 0.745 (0.819) Data 0.004 (0.002) Loss 2.6290 (2.5935) Prec@1 38.750 (37.025) Prec@5 67.500 (67.722) Epoch: [26][4930/11272] Time 0.736 (0.819) Data 0.002 (0.002) Loss 2.4776 (2.5933) Prec@1 38.125 (37.026) Prec@5 71.875 (67.727) Epoch: [26][4940/11272] Time 0.876 (0.819) Data 0.002 (0.002) Loss 2.3974 (2.5935) Prec@1 42.500 (37.025) Prec@5 65.625 (67.725) Epoch: [26][4950/11272] Time 0.928 (0.819) Data 0.002 (0.002) Loss 2.4836 (2.5934) Prec@1 36.875 (37.029) Prec@5 74.375 (67.726) Epoch: [26][4960/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.5230 (2.5935) Prec@1 41.875 (37.027) Prec@5 69.375 (67.726) Epoch: [26][4970/11272] Time 0.723 (0.819) Data 0.002 (0.002) Loss 2.4632 (2.5934) Prec@1 37.500 (37.029) Prec@5 73.750 (67.729) Epoch: [26][4980/11272] Time 0.859 (0.819) Data 0.002 (0.002) Loss 2.4012 (2.5935) Prec@1 37.500 (37.027) Prec@5 74.375 (67.730) Epoch: [26][4990/11272] Time 0.923 (0.819) Data 0.002 (0.002) Loss 2.7149 (2.5935) Prec@1 33.750 (37.025) Prec@5 63.750 (67.729) Epoch: [26][5000/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.9181 (2.5935) Prec@1 31.250 (37.026) Prec@5 62.500 (67.729) Epoch: [26][5010/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.5329 (2.5934) Prec@1 40.625 (37.027) Prec@5 68.750 (67.730) Epoch: [26][5020/11272] Time 0.904 (0.819) Data 0.002 (0.002) Loss 2.7209 (2.5933) Prec@1 34.375 (37.027) Prec@5 64.375 (67.735) Epoch: [26][5030/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.8556 (2.5933) Prec@1 33.750 (37.030) Prec@5 61.250 (67.735) Epoch: [26][5040/11272] Time 0.790 (0.819) Data 0.002 (0.002) Loss 2.5814 (2.5934) Prec@1 40.625 (37.028) Prec@5 68.750 (67.733) Epoch: [26][5050/11272] Time 0.925 (0.819) Data 0.002 (0.002) Loss 2.5919 (2.5934) Prec@1 38.125 (37.028) Prec@5 70.625 (67.732) Epoch: [26][5060/11272] Time 0.927 (0.819) Data 0.003 (0.002) Loss 2.7275 (2.5936) Prec@1 35.625 (37.028) Prec@5 63.125 (67.728) Epoch: [26][5070/11272] Time 0.749 (0.819) Data 0.001 (0.002) Loss 2.5664 (2.5936) Prec@1 38.750 (37.028) Prec@5 66.875 (67.727) Epoch: [26][5080/11272] Time 0.715 (0.819) Data 0.001 (0.002) Loss 2.6341 (2.5937) Prec@1 38.125 (37.026) Prec@5 68.125 (67.725) Epoch: [26][5090/11272] Time 0.870 (0.819) Data 0.001 (0.002) Loss 2.6096 (2.5939) Prec@1 35.625 (37.023) Prec@5 70.625 (67.721) Epoch: [26][5100/11272] Time 0.901 (0.819) Data 0.002 (0.002) Loss 2.7893 (2.5939) Prec@1 34.375 (37.024) Prec@5 65.625 (67.723) Epoch: [26][5110/11272] Time 0.750 (0.819) Data 0.001 (0.002) Loss 2.6307 (2.5940) Prec@1 35.625 (37.023) Prec@5 67.500 (67.721) Epoch: [26][5120/11272] Time 0.739 (0.819) Data 0.001 (0.002) Loss 2.5943 (2.5941) Prec@1 36.250 (37.021) Prec@5 66.875 (67.717) Epoch: [26][5130/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.6644 (2.5943) Prec@1 33.750 (37.018) Prec@5 66.875 (67.716) Epoch: [26][5140/11272] Time 0.938 (0.819) Data 0.002 (0.002) Loss 2.9284 (2.5944) Prec@1 30.000 (37.017) Prec@5 58.750 (67.714) Epoch: [26][5150/11272] Time 0.787 (0.819) Data 0.001 (0.002) Loss 2.5578 (2.5944) Prec@1 39.375 (37.017) Prec@5 68.125 (67.713) Epoch: [26][5160/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.7381 (2.5945) Prec@1 35.000 (37.017) Prec@5 63.750 (67.709) Epoch: [26][5170/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.3862 (2.5946) Prec@1 41.250 (37.014) Prec@5 73.125 (67.707) Epoch: [26][5180/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.6611 (2.5946) Prec@1 33.750 (37.014) Prec@5 68.125 (67.708) Epoch: [26][5190/11272] Time 0.752 (0.819) Data 0.001 (0.002) Loss 2.4508 (2.5945) Prec@1 36.875 (37.017) Prec@5 68.750 (67.709) Epoch: [26][5200/11272] Time 0.914 (0.819) Data 0.001 (0.002) Loss 2.4660 (2.5945) Prec@1 39.375 (37.018) Prec@5 74.375 (67.710) Epoch: [26][5210/11272] Time 0.849 (0.819) Data 0.001 (0.002) Loss 2.6452 (2.5945) Prec@1 37.500 (37.017) Prec@5 68.750 (67.710) Epoch: [26][5220/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.3939 (2.5947) Prec@1 40.625 (37.012) Prec@5 74.375 (67.707) Epoch: [26][5230/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.3613 (2.5947) Prec@1 40.625 (37.012) Prec@5 69.375 (67.707) Epoch: [26][5240/11272] Time 0.880 (0.819) Data 0.001 (0.002) Loss 2.5253 (2.5947) Prec@1 40.625 (37.011) Prec@5 67.500 (67.707) Epoch: [26][5250/11272] Time 0.864 (0.819) Data 0.001 (0.002) Loss 2.6362 (2.5947) Prec@1 36.875 (37.014) Prec@5 63.125 (67.704) Epoch: [26][5260/11272] Time 0.800 (0.819) Data 0.002 (0.002) Loss 2.5524 (2.5947) Prec@1 35.000 (37.017) Prec@5 66.875 (67.705) Epoch: [26][5270/11272] Time 0.761 (0.819) Data 0.001 (0.002) Loss 2.5314 (2.5948) Prec@1 32.500 (37.013) Prec@5 71.875 (67.702) Epoch: [26][5280/11272] Time 0.934 (0.819) Data 0.002 (0.002) Loss 2.5975 (2.5948) Prec@1 32.500 (37.011) Prec@5 69.375 (67.702) Epoch: [26][5290/11272] Time 0.830 (0.819) Data 0.001 (0.002) Loss 2.7889 (2.5948) Prec@1 36.250 (37.013) Prec@5 61.250 (67.703) Epoch: [26][5300/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.3720 (2.5947) Prec@1 45.000 (37.014) Prec@5 71.875 (67.703) Epoch: [26][5310/11272] Time 0.868 (0.819) Data 0.001 (0.002) Loss 2.7379 (2.5948) Prec@1 37.500 (37.011) Prec@5 66.250 (67.701) Epoch: [26][5320/11272] Time 0.867 (0.819) Data 0.002 (0.002) Loss 2.6895 (2.5950) Prec@1 36.250 (37.006) Prec@5 63.750 (67.696) Epoch: [26][5330/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.5653 (2.5950) Prec@1 38.750 (37.005) Prec@5 69.375 (67.697) Epoch: [26][5340/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.4020 (2.5950) Prec@1 44.375 (37.005) Prec@5 68.750 (67.696) Epoch: [26][5350/11272] Time 0.835 (0.819) Data 0.001 (0.002) Loss 2.5266 (2.5949) Prec@1 35.625 (37.004) Prec@5 65.625 (67.695) Epoch: [26][5360/11272] Time 0.913 (0.819) Data 0.002 (0.002) Loss 2.4782 (2.5948) Prec@1 38.750 (37.008) Prec@5 72.500 (67.696) Epoch: [26][5370/11272] Time 0.749 (0.819) Data 0.001 (0.002) Loss 2.6896 (2.5950) Prec@1 33.125 (37.001) Prec@5 65.625 (67.691) Epoch: [26][5380/11272] Time 0.760 (0.819) Data 0.002 (0.002) Loss 2.3821 (2.5951) Prec@1 37.500 (36.998) Prec@5 75.625 (67.689) Epoch: [26][5390/11272] Time 0.874 (0.819) Data 0.001 (0.002) Loss 2.6969 (2.5952) Prec@1 36.875 (36.996) Prec@5 64.375 (67.687) Epoch: [26][5400/11272] Time 0.889 (0.819) Data 0.002 (0.002) Loss 2.6147 (2.5951) Prec@1 40.000 (36.995) Prec@5 62.500 (67.687) Epoch: [26][5410/11272] Time 0.747 (0.819) Data 0.001 (0.002) Loss 2.3194 (2.5950) Prec@1 41.250 (36.999) Prec@5 73.125 (67.689) Epoch: [26][5420/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.6086 (2.5951) Prec@1 39.375 (36.996) Prec@5 65.625 (67.688) Epoch: [26][5430/11272] Time 0.894 (0.819) Data 0.002 (0.002) Loss 2.5447 (2.5951) Prec@1 41.250 (36.995) Prec@5 68.750 (67.691) Epoch: [26][5440/11272] Time 0.857 (0.819) Data 0.002 (0.002) Loss 2.6510 (2.5952) Prec@1 33.750 (36.992) Prec@5 65.000 (67.689) Epoch: [26][5450/11272] Time 0.739 (0.819) Data 0.001 (0.002) Loss 2.6908 (2.5953) Prec@1 34.375 (36.989) Prec@5 70.625 (67.686) Epoch: [26][5460/11272] Time 0.813 (0.819) Data 0.002 (0.002) Loss 2.5275 (2.5953) Prec@1 38.125 (36.991) Prec@5 70.625 (67.686) Epoch: [26][5470/11272] Time 0.935 (0.819) Data 0.001 (0.002) Loss 2.6895 (2.5953) Prec@1 36.250 (36.991) Prec@5 66.250 (67.687) Epoch: [26][5480/11272] Time 0.728 (0.819) Data 0.001 (0.002) Loss 2.5909 (2.5954) Prec@1 38.750 (36.990) Prec@5 66.250 (67.686) Epoch: [26][5490/11272] Time 0.812 (0.819) Data 0.002 (0.002) Loss 2.5336 (2.5955) Prec@1 36.875 (36.987) Prec@5 65.000 (67.684) Epoch: [26][5500/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.3660 (2.5954) Prec@1 41.875 (36.991) Prec@5 69.375 (67.684) Epoch: [26][5510/11272] Time 0.852 (0.819) Data 0.001 (0.002) Loss 2.5309 (2.5954) Prec@1 38.750 (36.994) Prec@5 68.750 (67.684) Epoch: [26][5520/11272] Time 0.793 (0.819) Data 0.002 (0.002) Loss 2.5109 (2.5954) Prec@1 37.500 (36.989) Prec@5 69.375 (67.684) Epoch: [26][5530/11272] Time 0.776 (0.819) Data 0.001 (0.002) Loss 2.7774 (2.5954) Prec@1 35.000 (36.990) Prec@5 65.625 (67.684) Epoch: [26][5540/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.6816 (2.5956) Prec@1 36.250 (36.985) Prec@5 70.000 (67.680) Epoch: [26][5550/11272] Time 0.847 (0.819) Data 0.002 (0.002) Loss 2.5691 (2.5955) Prec@1 40.625 (36.986) Prec@5 63.750 (67.683) Epoch: [26][5560/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.8475 (2.5955) Prec@1 32.500 (36.984) Prec@5 64.375 (67.682) Epoch: [26][5570/11272] Time 0.733 (0.819) Data 0.002 (0.002) Loss 2.9236 (2.5956) Prec@1 30.625 (36.982) Prec@5 62.500 (67.681) Epoch: [26][5580/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.5765 (2.5956) Prec@1 34.375 (36.980) Prec@5 70.000 (67.679) Epoch: [26][5590/11272] Time 0.725 (0.819) Data 0.003 (0.002) Loss 2.6335 (2.5956) Prec@1 36.875 (36.980) Prec@5 63.750 (67.678) Epoch: [26][5600/11272] Time 0.768 (0.819) Data 0.003 (0.002) Loss 2.5641 (2.5955) Prec@1 33.750 (36.980) Prec@5 68.750 (67.683) Epoch: [26][5610/11272] Time 0.810 (0.819) Data 0.001 (0.002) Loss 2.7237 (2.5955) Prec@1 37.500 (36.982) Prec@5 63.750 (67.681) Epoch: [26][5620/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.3454 (2.5955) Prec@1 39.375 (36.980) Prec@5 71.875 (67.681) Epoch: [26][5630/11272] Time 0.729 (0.819) Data 0.001 (0.002) Loss 2.6217 (2.5955) Prec@1 40.625 (36.981) Prec@5 63.750 (67.680) Epoch: [26][5640/11272] Time 0.729 (0.819) Data 0.002 (0.002) Loss 2.5440 (2.5955) Prec@1 33.750 (36.981) Prec@5 68.750 (67.680) Epoch: [26][5650/11272] Time 0.916 (0.819) Data 0.001 (0.002) Loss 2.6920 (2.5956) Prec@1 30.625 (36.979) Prec@5 65.625 (67.678) Epoch: [26][5660/11272] Time 0.930 (0.819) Data 0.002 (0.002) Loss 2.8938 (2.5957) Prec@1 28.125 (36.975) Prec@5 65.000 (67.679) Epoch: [26][5670/11272] Time 0.728 (0.819) Data 0.002 (0.002) Loss 2.4090 (2.5956) Prec@1 37.500 (36.975) Prec@5 71.250 (67.681) Epoch: [26][5680/11272] Time 0.730 (0.819) Data 0.002 (0.002) Loss 2.6405 (2.5955) Prec@1 41.875 (36.978) Prec@5 69.375 (67.681) Epoch: [26][5690/11272] Time 0.925 (0.819) Data 0.001 (0.002) Loss 2.7266 (2.5955) Prec@1 33.750 (36.979) Prec@5 65.000 (67.683) Epoch: [26][5700/11272] Time 0.905 (0.819) Data 0.002 (0.002) Loss 2.6084 (2.5955) Prec@1 36.250 (36.978) Prec@5 67.500 (67.682) Epoch: [26][5710/11272] Time 0.743 (0.819) Data 0.001 (0.002) Loss 2.0964 (2.5955) Prec@1 42.500 (36.978) Prec@5 76.875 (67.682) Epoch: [26][5720/11272] Time 0.895 (0.819) Data 0.002 (0.002) Loss 2.8534 (2.5956) Prec@1 36.875 (36.974) Prec@5 63.125 (67.681) Epoch: [26][5730/11272] Time 0.932 (0.819) Data 0.002 (0.002) Loss 2.4819 (2.5956) Prec@1 38.125 (36.976) Prec@5 71.875 (67.680) Epoch: [26][5740/11272] Time 0.790 (0.819) Data 0.001 (0.002) Loss 2.5444 (2.5957) Prec@1 35.625 (36.973) Prec@5 70.625 (67.679) Epoch: [26][5750/11272] Time 0.767 (0.819) Data 0.002 (0.002) Loss 2.3088 (2.5956) Prec@1 36.250 (36.975) Prec@5 73.125 (67.681) Epoch: [26][5760/11272] Time 0.872 (0.819) Data 0.002 (0.002) Loss 2.6213 (2.5956) Prec@1 36.875 (36.974) Prec@5 66.250 (67.681) Epoch: [26][5770/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.5749 (2.5956) Prec@1 38.750 (36.974) Prec@5 66.875 (67.682) Epoch: [26][5780/11272] Time 0.779 (0.819) Data 0.002 (0.002) Loss 2.9959 (2.5957) Prec@1 31.875 (36.971) Prec@5 60.625 (67.681) Epoch: [26][5790/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.7088 (2.5958) Prec@1 34.375 (36.969) Prec@5 66.875 (67.680) Epoch: [26][5800/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.9642 (2.5957) Prec@1 31.875 (36.970) Prec@5 64.375 (67.680) Epoch: [26][5810/11272] Time 0.874 (0.819) Data 0.002 (0.002) Loss 2.6036 (2.5956) Prec@1 38.125 (36.971) Prec@5 70.625 (67.683) Epoch: [26][5820/11272] Time 0.732 (0.819) Data 0.001 (0.002) Loss 2.8567 (2.5957) Prec@1 34.375 (36.970) Prec@5 61.875 (67.682) Epoch: [26][5830/11272] Time 0.736 (0.819) Data 0.001 (0.002) Loss 2.5410 (2.5957) Prec@1 38.125 (36.969) Prec@5 70.000 (67.682) Epoch: [26][5840/11272] Time 0.851 (0.819) Data 0.002 (0.002) Loss 2.5159 (2.5959) Prec@1 36.875 (36.965) Prec@5 73.750 (67.682) Epoch: [26][5850/11272] Time 0.774 (0.819) Data 0.003 (0.002) Loss 2.4630 (2.5958) Prec@1 41.250 (36.966) Prec@5 68.125 (67.683) Epoch: [26][5860/11272] Time 0.785 (0.819) Data 0.002 (0.002) Loss 2.2777 (2.5958) Prec@1 40.000 (36.969) Prec@5 73.125 (67.683) Epoch: [26][5870/11272] Time 0.907 (0.819) Data 0.002 (0.002) Loss 2.4375 (2.5958) Prec@1 39.375 (36.971) Prec@5 70.625 (67.684) Epoch: [26][5880/11272] Time 0.867 (0.819) Data 0.002 (0.002) Loss 2.9276 (2.5959) Prec@1 32.500 (36.970) Prec@5 60.000 (67.680) Epoch: [26][5890/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.6648 (2.5960) Prec@1 33.125 (36.970) Prec@5 67.500 (67.678) Epoch: [26][5900/11272] Time 0.783 (0.819) Data 0.002 (0.002) Loss 2.6961 (2.5960) Prec@1 35.000 (36.969) Prec@5 67.500 (67.681) Epoch: [26][5910/11272] Time 0.945 (0.819) Data 0.001 (0.002) Loss 2.5136 (2.5959) Prec@1 41.875 (36.970) Prec@5 70.000 (67.682) Epoch: [26][5920/11272] Time 0.922 (0.819) Data 0.002 (0.002) Loss 2.7825 (2.5962) Prec@1 30.000 (36.966) Prec@5 61.250 (67.677) Epoch: [26][5930/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.6105 (2.5963) Prec@1 36.250 (36.963) Prec@5 69.375 (67.676) Epoch: [26][5940/11272] Time 0.730 (0.819) Data 0.001 (0.002) Loss 2.5997 (2.5963) Prec@1 38.125 (36.962) Prec@5 66.250 (67.678) Epoch: [26][5950/11272] Time 0.893 (0.819) Data 0.001 (0.002) Loss 2.7505 (2.5963) Prec@1 38.750 (36.962) Prec@5 63.750 (67.679) Epoch: [26][5960/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.5786 (2.5963) Prec@1 42.500 (36.962) Prec@5 67.500 (67.677) Epoch: [26][5970/11272] Time 0.777 (0.819) Data 0.002 (0.002) Loss 2.7097 (2.5964) Prec@1 43.750 (36.963) Prec@5 63.125 (67.674) Epoch: [26][5980/11272] Time 0.894 (0.819) Data 0.002 (0.002) Loss 2.6825 (2.5963) Prec@1 34.375 (36.960) Prec@5 63.750 (67.675) Epoch: [26][5990/11272] Time 0.893 (0.819) Data 0.002 (0.002) Loss 2.6701 (2.5964) Prec@1 36.250 (36.958) Prec@5 65.625 (67.675) Epoch: [26][6000/11272] Time 0.736 (0.819) Data 0.002 (0.002) Loss 2.7429 (2.5964) Prec@1 32.500 (36.956) Prec@5 66.875 (67.672) Epoch: [26][6010/11272] Time 0.749 (0.819) Data 0.001 (0.002) Loss 2.7467 (2.5964) Prec@1 36.250 (36.958) Prec@5 70.000 (67.670) Epoch: [26][6020/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.5955 (2.5964) Prec@1 36.250 (36.959) Prec@5 68.125 (67.669) Epoch: [26][6030/11272] Time 0.871 (0.819) Data 0.001 (0.002) Loss 2.6412 (2.5966) Prec@1 35.000 (36.955) Prec@5 65.000 (67.667) Epoch: [26][6040/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.7636 (2.5965) Prec@1 36.250 (36.957) Prec@5 63.750 (67.668) Epoch: [26][6050/11272] Time 0.790 (0.819) Data 0.001 (0.002) Loss 2.6878 (2.5966) Prec@1 31.250 (36.952) Prec@5 67.500 (67.667) Epoch: [26][6060/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.7472 (2.5967) Prec@1 30.000 (36.949) Prec@5 60.000 (67.664) Epoch: [26][6070/11272] Time 0.957 (0.819) Data 0.002 (0.002) Loss 2.5087 (2.5967) Prec@1 38.750 (36.950) Prec@5 70.000 (67.662) Epoch: [26][6080/11272] Time 0.794 (0.819) Data 0.001 (0.002) Loss 2.5711 (2.5968) Prec@1 38.125 (36.947) Prec@5 65.000 (67.662) Epoch: [26][6090/11272] Time 0.733 (0.819) Data 0.002 (0.002) Loss 2.4341 (2.5967) Prec@1 41.875 (36.946) Prec@5 69.375 (67.663) Epoch: [26][6100/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.8650 (2.5967) Prec@1 28.125 (36.946) Prec@5 60.000 (67.664) Epoch: [26][6110/11272] Time 0.851 (0.819) Data 0.001 (0.002) Loss 2.5452 (2.5968) Prec@1 39.375 (36.947) Prec@5 69.375 (67.663) Epoch: [26][6120/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.7339 (2.5966) Prec@1 31.250 (36.949) Prec@5 61.875 (67.664) Epoch: [26][6130/11272] Time 0.865 (0.819) Data 0.001 (0.002) Loss 2.4132 (2.5964) Prec@1 39.375 (36.951) Prec@5 71.250 (67.667) Epoch: [26][6140/11272] Time 0.914 (0.819) Data 0.002 (0.002) Loss 2.7094 (2.5963) Prec@1 32.500 (36.952) Prec@5 67.500 (67.670) Epoch: [26][6150/11272] Time 0.753 (0.819) Data 0.001 (0.002) Loss 2.7167 (2.5961) Prec@1 38.750 (36.957) Prec@5 64.375 (67.671) Epoch: [26][6160/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.6743 (2.5963) Prec@1 35.000 (36.956) Prec@5 64.375 (67.668) Epoch: [26][6170/11272] Time 0.831 (0.819) Data 0.001 (0.002) Loss 2.6126 (2.5963) Prec@1 31.875 (36.957) Prec@5 64.375 (67.667) Epoch: [26][6180/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.6917 (2.5964) Prec@1 37.500 (36.956) Prec@5 65.000 (67.665) Epoch: [26][6190/11272] Time 0.730 (0.819) Data 0.001 (0.002) Loss 2.6153 (2.5964) Prec@1 35.625 (36.955) Prec@5 68.750 (67.665) Epoch: [26][6200/11272] Time 0.789 (0.819) Data 0.001 (0.002) Loss 2.5582 (2.5964) Prec@1 35.625 (36.954) Prec@5 70.625 (67.663) Epoch: [26][6210/11272] Time 0.882 (0.819) Data 0.001 (0.002) Loss 2.6588 (2.5965) Prec@1 40.000 (36.954) Prec@5 65.000 (67.662) Epoch: [26][6220/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.8723 (2.5966) Prec@1 31.250 (36.955) Prec@5 65.625 (67.662) Epoch: [26][6230/11272] Time 0.728 (0.819) Data 0.001 (0.002) Loss 2.4767 (2.5966) Prec@1 43.125 (36.955) Prec@5 69.375 (67.661) Epoch: [26][6240/11272] Time 0.737 (0.819) Data 0.001 (0.002) Loss 2.6661 (2.5966) Prec@1 37.500 (36.957) Prec@5 68.125 (67.661) Epoch: [26][6250/11272] Time 0.901 (0.819) Data 0.002 (0.002) Loss 2.4038 (2.5966) Prec@1 38.125 (36.955) Prec@5 72.500 (67.661) Epoch: [26][6260/11272] Time 0.838 (0.819) Data 0.001 (0.002) Loss 2.3323 (2.5965) Prec@1 43.750 (36.958) Prec@5 70.625 (67.664) Epoch: [26][6270/11272] Time 0.733 (0.819) Data 0.001 (0.002) Loss 2.3897 (2.5965) Prec@1 41.250 (36.956) Prec@5 76.875 (67.664) Epoch: [26][6280/11272] Time 0.856 (0.819) Data 0.003 (0.002) Loss 2.2916 (2.5966) Prec@1 45.000 (36.954) Prec@5 73.750 (67.665) Epoch: [26][6290/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.7140 (2.5966) Prec@1 35.625 (36.953) Prec@5 63.750 (67.665) Epoch: [26][6300/11272] Time 0.728 (0.819) Data 0.002 (0.002) Loss 2.5849 (2.5966) Prec@1 35.625 (36.953) Prec@5 67.500 (67.664) Epoch: [26][6310/11272] Time 0.732 (0.819) Data 0.002 (0.002) Loss 2.4191 (2.5966) Prec@1 38.750 (36.956) Prec@5 67.500 (67.663) Epoch: [26][6320/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.7138 (2.5966) Prec@1 32.500 (36.956) Prec@5 62.500 (67.662) Epoch: [26][6330/11272] Time 0.909 (0.819) Data 0.001 (0.002) Loss 2.8144 (2.5967) Prec@1 35.000 (36.957) Prec@5 60.625 (67.658) Epoch: [26][6340/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.6156 (2.5967) Prec@1 35.625 (36.958) Prec@5 68.750 (67.662) Epoch: [26][6350/11272] Time 0.730 (0.819) Data 0.001 (0.002) Loss 2.4288 (2.5967) Prec@1 33.750 (36.956) Prec@5 68.750 (67.661) Epoch: [26][6360/11272] Time 0.883 (0.819) Data 0.001 (0.002) Loss 2.6050 (2.5967) Prec@1 38.125 (36.957) Prec@5 66.875 (67.661) Epoch: [26][6370/11272] Time 0.850 (0.819) Data 0.001 (0.002) Loss 2.6437 (2.5967) Prec@1 39.375 (36.955) Prec@5 62.500 (67.660) Epoch: [26][6380/11272] Time 0.761 (0.819) Data 0.002 (0.002) Loss 2.8105 (2.5968) Prec@1 33.125 (36.952) Prec@5 65.000 (67.658) Epoch: [26][6390/11272] Time 0.843 (0.819) Data 0.001 (0.002) Loss 2.5651 (2.5969) Prec@1 41.250 (36.952) Prec@5 70.000 (67.654) Epoch: [26][6400/11272] Time 0.856 (0.819) Data 0.002 (0.002) Loss 2.6292 (2.5969) Prec@1 33.125 (36.951) Prec@5 71.250 (67.653) Epoch: [26][6410/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.6928 (2.5969) Prec@1 32.500 (36.951) Prec@5 62.500 (67.654) Epoch: [26][6420/11272] Time 0.762 (0.819) Data 0.002 (0.002) Loss 2.9971 (2.5969) Prec@1 35.625 (36.949) Prec@5 59.375 (67.653) Epoch: [26][6430/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.6053 (2.5970) Prec@1 37.500 (36.946) Prec@5 65.625 (67.650) Epoch: [26][6440/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.5778 (2.5969) Prec@1 36.250 (36.951) Prec@5 65.625 (67.652) Epoch: [26][6450/11272] Time 0.747 (0.819) Data 0.001 (0.002) Loss 2.4721 (2.5968) Prec@1 38.750 (36.951) Prec@5 72.500 (67.653) Epoch: [26][6460/11272] Time 0.732 (0.819) Data 0.002 (0.002) Loss 2.3030 (2.5966) Prec@1 40.000 (36.953) Prec@5 74.375 (67.656) Epoch: [26][6470/11272] Time 0.848 (0.819) Data 0.001 (0.002) Loss 2.4722 (2.5967) Prec@1 45.625 (36.954) Prec@5 76.250 (67.654) Epoch: [26][6480/11272] Time 0.895 (0.819) Data 0.001 (0.002) Loss 2.6407 (2.5969) Prec@1 36.875 (36.953) Prec@5 67.500 (67.650) Epoch: [26][6490/11272] Time 0.744 (0.819) Data 0.001 (0.002) Loss 2.5087 (2.5970) Prec@1 41.250 (36.953) Prec@5 66.875 (67.647) Epoch: [26][6500/11272] Time 0.743 (0.819) Data 0.001 (0.002) Loss 2.5168 (2.5971) Prec@1 41.875 (36.953) Prec@5 68.750 (67.647) Epoch: [26][6510/11272] Time 0.861 (0.819) Data 0.001 (0.002) Loss 2.6767 (2.5972) Prec@1 31.875 (36.951) Prec@5 66.250 (67.644) Epoch: [26][6520/11272] Time 0.730 (0.819) Data 0.003 (0.002) Loss 2.4708 (2.5973) Prec@1 41.250 (36.949) Prec@5 70.000 (67.645) Epoch: [26][6530/11272] Time 0.724 (0.819) Data 0.001 (0.002) Loss 2.4880 (2.5973) Prec@1 35.000 (36.947) Prec@5 67.500 (67.643) Epoch: [26][6540/11272] Time 1.010 (0.819) Data 0.002 (0.002) Loss 2.6197 (2.5974) Prec@1 40.625 (36.947) Prec@5 64.375 (67.643) Epoch: [26][6550/11272] Time 0.843 (0.819) Data 0.001 (0.002) Loss 2.5873 (2.5973) Prec@1 40.000 (36.948) Prec@5 67.500 (67.642) Epoch: [26][6560/11272] Time 0.777 (0.819) Data 0.002 (0.002) Loss 2.8518 (2.5974) Prec@1 32.500 (36.947) Prec@5 63.750 (67.639) Epoch: [26][6570/11272] Time 0.749 (0.819) Data 0.001 (0.002) Loss 2.6400 (2.5973) Prec@1 36.250 (36.948) Prec@5 67.500 (67.641) Epoch: [26][6580/11272] Time 0.857 (0.819) Data 0.002 (0.002) Loss 2.6285 (2.5973) Prec@1 36.250 (36.946) Prec@5 65.000 (67.643) Epoch: [26][6590/11272] Time 0.878 (0.819) Data 0.001 (0.002) Loss 2.5399 (2.5972) Prec@1 33.125 (36.946) Prec@5 70.000 (67.646) Epoch: [26][6600/11272] Time 0.737 (0.819) Data 0.001 (0.002) Loss 2.4769 (2.5973) Prec@1 36.875 (36.943) Prec@5 71.250 (67.643) Epoch: [26][6610/11272] Time 0.756 (0.819) Data 0.001 (0.002) Loss 2.7245 (2.5973) Prec@1 33.125 (36.944) Prec@5 65.000 (67.643) Epoch: [26][6620/11272] Time 0.915 (0.819) Data 0.002 (0.002) Loss 2.8292 (2.5973) Prec@1 35.625 (36.943) Prec@5 65.000 (67.643) Epoch: [26][6630/11272] Time 0.847 (0.819) Data 0.002 (0.002) Loss 2.7509 (2.5974) Prec@1 32.500 (36.944) Prec@5 65.000 (67.641) Epoch: [26][6640/11272] Time 0.787 (0.819) Data 0.002 (0.002) Loss 2.7785 (2.5973) Prec@1 38.125 (36.945) Prec@5 62.500 (67.640) Epoch: [26][6650/11272] Time 0.828 (0.819) Data 0.002 (0.002) Loss 2.8083 (2.5974) Prec@1 32.500 (36.945) Prec@5 61.250 (67.638) Epoch: [26][6660/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.3149 (2.5973) Prec@1 46.250 (36.948) Prec@5 69.375 (67.640) Epoch: [26][6670/11272] Time 0.775 (0.819) Data 0.001 (0.002) Loss 2.5450 (2.5973) Prec@1 31.875 (36.948) Prec@5 65.625 (67.640) Epoch: [26][6680/11272] Time 0.721 (0.819) Data 0.001 (0.002) Loss 2.4979 (2.5972) Prec@1 37.500 (36.949) Prec@5 68.125 (67.642) Epoch: [26][6690/11272] Time 0.879 (0.819) Data 0.001 (0.002) Loss 2.6624 (2.5973) Prec@1 35.000 (36.946) Prec@5 68.125 (67.642) Epoch: [26][6700/11272] Time 0.924 (0.819) Data 0.001 (0.002) Loss 2.3947 (2.5973) Prec@1 38.125 (36.944) Prec@5 73.125 (67.642) Epoch: [26][6710/11272] Time 0.777 (0.819) Data 0.001 (0.002) Loss 2.4542 (2.5973) Prec@1 35.625 (36.943) Prec@5 70.625 (67.644) Epoch: [26][6720/11272] Time 0.772 (0.819) Data 0.002 (0.002) Loss 2.4624 (2.5973) Prec@1 41.250 (36.945) Prec@5 68.750 (67.644) Epoch: [26][6730/11272] Time 0.876 (0.819) Data 0.001 (0.002) Loss 2.5266 (2.5973) Prec@1 36.875 (36.945) Prec@5 67.500 (67.642) Epoch: [26][6740/11272] Time 0.954 (0.819) Data 0.002 (0.002) Loss 2.7392 (2.5974) Prec@1 40.625 (36.945) Prec@5 66.875 (67.639) Epoch: [26][6750/11272] Time 0.788 (0.819) Data 0.002 (0.002) Loss 2.4198 (2.5974) Prec@1 38.125 (36.944) Prec@5 74.375 (67.642) Epoch: [26][6760/11272] Time 0.827 (0.819) Data 0.002 (0.002) Loss 2.5881 (2.5974) Prec@1 36.875 (36.944) Prec@5 65.000 (67.642) Epoch: [26][6770/11272] Time 0.895 (0.819) Data 0.002 (0.002) Loss 2.5559 (2.5975) Prec@1 36.875 (36.942) Prec@5 66.250 (67.641) Epoch: [26][6780/11272] Time 0.728 (0.819) Data 0.003 (0.002) Loss 2.3252 (2.5976) Prec@1 43.125 (36.940) Prec@5 73.750 (67.639) Epoch: [26][6790/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.5515 (2.5977) Prec@1 36.875 (36.938) Prec@5 66.250 (67.636) Epoch: [26][6800/11272] Time 0.848 (0.819) Data 0.002 (0.002) Loss 2.3812 (2.5977) Prec@1 40.625 (36.941) Prec@5 69.375 (67.636) Epoch: [26][6810/11272] Time 0.871 (0.819) Data 0.001 (0.002) Loss 2.7174 (2.5977) Prec@1 36.250 (36.941) Prec@5 64.375 (67.637) Epoch: [26][6820/11272] Time 0.808 (0.819) Data 0.002 (0.002) Loss 2.7598 (2.5977) Prec@1 33.750 (36.940) Prec@5 67.500 (67.638) Epoch: [26][6830/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 2.6826 (2.5978) Prec@1 35.000 (36.940) Prec@5 67.500 (67.636) Epoch: [26][6840/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.7568 (2.5980) Prec@1 33.125 (36.939) Prec@5 67.500 (67.632) Epoch: [26][6850/11272] Time 0.841 (0.819) Data 0.002 (0.002) Loss 2.5448 (2.5978) Prec@1 34.375 (36.939) Prec@5 69.375 (67.633) Epoch: [26][6860/11272] Time 0.778 (0.819) Data 0.001 (0.002) Loss 2.5225 (2.5979) Prec@1 38.125 (36.939) Prec@5 71.875 (67.634) Epoch: [26][6870/11272] Time 0.742 (0.819) Data 0.001 (0.002) Loss 2.5166 (2.5979) Prec@1 42.500 (36.939) Prec@5 68.125 (67.633) Epoch: [26][6880/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.7725 (2.5980) Prec@1 36.250 (36.937) Prec@5 61.875 (67.632) Epoch: [26][6890/11272] Time 0.949 (0.819) Data 0.002 (0.002) Loss 2.5405 (2.5979) Prec@1 41.875 (36.941) Prec@5 63.125 (67.631) Epoch: [26][6900/11272] Time 0.784 (0.819) Data 0.002 (0.002) Loss 1.9582 (2.5979) Prec@1 48.750 (36.941) Prec@5 78.125 (67.630) Epoch: [26][6910/11272] Time 0.884 (0.819) Data 0.002 (0.002) Loss 2.5413 (2.5979) Prec@1 39.375 (36.940) Prec@5 71.250 (67.629) Epoch: [26][6920/11272] Time 0.887 (0.819) Data 0.002 (0.002) Loss 2.6666 (2.5979) Prec@1 35.625 (36.938) Prec@5 63.750 (67.627) Epoch: [26][6930/11272] Time 0.757 (0.819) Data 0.001 (0.002) Loss 2.7015 (2.5980) Prec@1 35.625 (36.937) Prec@5 61.875 (67.624) Epoch: [26][6940/11272] Time 0.805 (0.819) Data 0.001 (0.002) Loss 2.5461 (2.5981) Prec@1 36.875 (36.935) Prec@5 69.375 (67.625) Epoch: [26][6950/11272] Time 0.945 (0.820) Data 0.002 (0.002) Loss 2.4879 (2.5981) Prec@1 33.750 (36.934) Prec@5 70.625 (67.625) Epoch: [26][6960/11272] Time 0.885 (0.820) Data 0.001 (0.002) Loss 2.7069 (2.5981) Prec@1 32.500 (36.932) Prec@5 64.375 (67.624) Epoch: [26][6970/11272] Time 0.769 (0.820) Data 0.002 (0.002) Loss 2.7378 (2.5982) Prec@1 36.250 (36.929) Prec@5 64.375 (67.622) Epoch: [26][6980/11272] Time 0.779 (0.820) Data 0.002 (0.002) Loss 2.5665 (2.5983) Prec@1 35.625 (36.927) Prec@5 65.625 (67.620) Epoch: [26][6990/11272] Time 0.884 (0.820) Data 0.002 (0.002) Loss 2.6349 (2.5983) Prec@1 39.375 (36.929) Prec@5 71.875 (67.622) Epoch: [26][7000/11272] Time 0.938 (0.820) Data 0.002 (0.002) Loss 2.7771 (2.5982) Prec@1 30.000 (36.928) Prec@5 65.000 (67.624) Epoch: [26][7010/11272] Time 0.754 (0.820) Data 0.003 (0.002) Loss 2.8040 (2.5982) Prec@1 33.125 (36.927) Prec@5 64.375 (67.624) Epoch: [26][7020/11272] Time 0.802 (0.820) Data 0.001 (0.002) Loss 2.4877 (2.5981) Prec@1 36.250 (36.927) Prec@5 70.000 (67.625) Epoch: [26][7030/11272] Time 0.886 (0.820) Data 0.002 (0.002) Loss 2.6962 (2.5981) Prec@1 35.625 (36.928) Prec@5 65.625 (67.625) Epoch: [26][7040/11272] Time 0.862 (0.820) Data 0.001 (0.002) Loss 2.3948 (2.5981) Prec@1 44.375 (36.928) Prec@5 75.000 (67.625) Epoch: [26][7050/11272] Time 0.703 (0.820) Data 0.001 (0.002) Loss 2.4743 (2.5980) Prec@1 41.250 (36.929) Prec@5 70.000 (67.625) Epoch: [26][7060/11272] Time 0.927 (0.820) Data 0.001 (0.002) Loss 2.5031 (2.5979) Prec@1 41.875 (36.932) Prec@5 70.625 (67.628) Epoch: [26][7070/11272] Time 0.877 (0.820) Data 0.001 (0.002) Loss 2.4856 (2.5980) Prec@1 39.375 (36.931) Prec@5 69.375 (67.629) Epoch: [26][7080/11272] Time 0.780 (0.820) Data 0.002 (0.002) Loss 2.5463 (2.5979) Prec@1 41.250 (36.932) Prec@5 71.250 (67.631) Epoch: [26][7090/11272] Time 0.757 (0.820) Data 0.001 (0.002) Loss 2.7373 (2.5979) Prec@1 33.750 (36.933) Prec@5 65.000 (67.631) Epoch: [26][7100/11272] Time 0.830 (0.820) Data 0.002 (0.002) Loss 2.5812 (2.5979) Prec@1 40.000 (36.934) Prec@5 64.375 (67.630) Epoch: [26][7110/11272] Time 0.907 (0.820) Data 0.001 (0.002) Loss 2.5675 (2.5978) Prec@1 36.250 (36.934) Prec@5 68.125 (67.630) Epoch: [26][7120/11272] Time 0.781 (0.820) Data 0.002 (0.002) Loss 2.2987 (2.5977) Prec@1 45.000 (36.938) Prec@5 71.250 (67.632) Epoch: [26][7130/11272] Time 0.794 (0.820) Data 0.003 (0.002) Loss 2.8119 (2.5977) Prec@1 35.000 (36.939) Prec@5 64.375 (67.632) Epoch: [26][7140/11272] Time 0.934 (0.820) Data 0.002 (0.002) Loss 2.8808 (2.5978) Prec@1 33.750 (36.937) Prec@5 64.375 (67.629) Epoch: [26][7150/11272] Time 0.871 (0.820) Data 0.001 (0.002) Loss 2.4627 (2.5978) Prec@1 37.500 (36.937) Prec@5 71.250 (67.631) Epoch: [26][7160/11272] Time 0.739 (0.820) Data 0.002 (0.002) Loss 2.5946 (2.5979) Prec@1 40.625 (36.938) Prec@5 68.750 (67.631) Epoch: [26][7170/11272] Time 0.856 (0.820) Data 0.001 (0.002) Loss 2.6771 (2.5978) Prec@1 37.500 (36.940) Prec@5 66.250 (67.632) Epoch: [26][7180/11272] Time 0.867 (0.820) Data 0.002 (0.002) Loss 2.7912 (2.5977) Prec@1 30.625 (36.940) Prec@5 66.250 (67.632) Epoch: [26][7190/11272] Time 0.753 (0.820) Data 0.001 (0.002) Loss 2.5993 (2.5978) Prec@1 36.250 (36.939) Prec@5 69.375 (67.631) Epoch: [26][7200/11272] Time 0.811 (0.820) Data 0.002 (0.002) Loss 2.5557 (2.5978) Prec@1 36.875 (36.939) Prec@5 70.000 (67.632) Epoch: [26][7210/11272] Time 0.852 (0.820) Data 0.001 (0.002) Loss 2.6929 (2.5977) Prec@1 38.750 (36.938) Prec@5 62.500 (67.631) Epoch: [26][7220/11272] Time 0.914 (0.820) Data 0.002 (0.002) Loss 2.6708 (2.5978) Prec@1 33.750 (36.939) Prec@5 68.750 (67.630) Epoch: [26][7230/11272] Time 0.760 (0.820) Data 0.002 (0.002) Loss 2.4179 (2.5977) Prec@1 43.125 (36.940) Prec@5 74.375 (67.632) Epoch: [26][7240/11272] Time 0.770 (0.820) Data 0.002 (0.002) Loss 2.5259 (2.5978) Prec@1 33.125 (36.940) Prec@5 68.750 (67.630) Epoch: [26][7250/11272] Time 0.850 (0.820) Data 0.002 (0.002) Loss 2.4247 (2.5978) Prec@1 39.375 (36.937) Prec@5 71.250 (67.631) Epoch: [26][7260/11272] Time 0.914 (0.820) Data 0.002 (0.002) Loss 2.9605 (2.5978) Prec@1 32.500 (36.934) Prec@5 61.250 (67.629) Epoch: [26][7270/11272] Time 0.730 (0.820) Data 0.002 (0.002) Loss 2.6343 (2.5981) Prec@1 35.625 (36.931) Prec@5 68.750 (67.626) Epoch: [26][7280/11272] Time 0.748 (0.820) Data 0.002 (0.002) Loss 2.8710 (2.5981) Prec@1 36.875 (36.931) Prec@5 58.750 (67.625) Epoch: [26][7290/11272] Time 0.849 (0.820) Data 0.001 (0.002) Loss 2.7816 (2.5982) Prec@1 35.000 (36.929) Prec@5 61.875 (67.623) Epoch: [26][7300/11272] Time 0.864 (0.820) Data 0.002 (0.002) Loss 2.7331 (2.5982) Prec@1 34.375 (36.931) Prec@5 65.000 (67.623) Epoch: [26][7310/11272] Time 0.720 (0.820) Data 0.001 (0.002) Loss 2.5882 (2.5982) Prec@1 35.625 (36.931) Prec@5 68.750 (67.624) Epoch: [26][7320/11272] Time 0.860 (0.820) Data 0.002 (0.002) Loss 2.7754 (2.5982) Prec@1 38.750 (36.930) Prec@5 63.125 (67.625) Epoch: [26][7330/11272] Time 0.867 (0.820) Data 0.001 (0.002) Loss 2.7726 (2.5982) Prec@1 31.875 (36.929) Prec@5 65.000 (67.626) Epoch: [26][7340/11272] Time 0.777 (0.820) Data 0.002 (0.002) Loss 2.7774 (2.5982) Prec@1 35.000 (36.930) Prec@5 65.625 (67.626) Epoch: [26][7350/11272] Time 0.739 (0.820) Data 0.002 (0.002) Loss 2.6323 (2.5982) Prec@1 41.875 (36.930) Prec@5 69.375 (67.626) Epoch: [26][7360/11272] Time 0.958 (0.820) Data 0.002 (0.002) Loss 2.6011 (2.5982) Prec@1 31.875 (36.929) Prec@5 70.000 (67.626) Epoch: [26][7370/11272] Time 0.889 (0.820) Data 0.001 (0.002) Loss 2.5894 (2.5983) Prec@1 35.000 (36.926) Prec@5 67.500 (67.624) Epoch: [26][7380/11272] Time 0.747 (0.820) Data 0.002 (0.002) Loss 2.5596 (2.5984) Prec@1 40.625 (36.928) Prec@5 68.750 (67.624) Epoch: [26][7390/11272] Time 0.804 (0.820) Data 0.002 (0.002) Loss 2.6859 (2.5984) Prec@1 36.250 (36.927) Prec@5 64.375 (67.622) Epoch: [26][7400/11272] Time 0.863 (0.820) Data 0.002 (0.002) Loss 2.5969 (2.5984) Prec@1 35.000 (36.926) Prec@5 67.500 (67.622) Epoch: [26][7410/11272] Time 0.886 (0.820) Data 0.005 (0.002) Loss 2.4865 (2.5984) Prec@1 41.875 (36.925) Prec@5 71.875 (67.622) Epoch: [26][7420/11272] Time 0.779 (0.820) Data 0.002 (0.002) Loss 2.5195 (2.5984) Prec@1 36.875 (36.927) Prec@5 68.750 (67.623) Epoch: [26][7430/11272] Time 0.750 (0.820) Data 0.002 (0.002) Loss 2.6734 (2.5983) Prec@1 40.000 (36.928) Prec@5 64.375 (67.624) Epoch: [26][7440/11272] Time 0.878 (0.820) Data 0.001 (0.002) Loss 2.6579 (2.5984) Prec@1 34.375 (36.925) Prec@5 71.250 (67.624) Epoch: [26][7450/11272] Time 0.737 (0.820) Data 0.003 (0.002) Loss 2.6358 (2.5985) Prec@1 35.000 (36.926) Prec@5 66.250 (67.623) Epoch: [26][7460/11272] Time 0.782 (0.820) Data 0.001 (0.002) Loss 2.4818 (2.5985) Prec@1 44.375 (36.926) Prec@5 63.750 (67.623) Epoch: [26][7470/11272] Time 0.892 (0.820) Data 0.002 (0.002) Loss 2.6152 (2.5985) Prec@1 39.375 (36.926) Prec@5 65.625 (67.622) Epoch: [26][7480/11272] Time 0.888 (0.820) Data 0.001 (0.002) Loss 2.4658 (2.5985) Prec@1 37.500 (36.925) Prec@5 67.500 (67.622) Epoch: [26][7490/11272] Time 0.795 (0.820) Data 0.002 (0.002) Loss 2.5350 (2.5985) Prec@1 38.125 (36.925) Prec@5 69.375 (67.622) Epoch: [26][7500/11272] Time 0.725 (0.820) Data 0.001 (0.002) Loss 2.7383 (2.5986) Prec@1 31.250 (36.924) Prec@5 68.125 (67.623) Epoch: [26][7510/11272] Time 0.875 (0.820) Data 0.001 (0.002) Loss 2.6111 (2.5985) Prec@1 35.625 (36.924) Prec@5 67.500 (67.623) Epoch: [26][7520/11272] Time 0.836 (0.820) Data 0.002 (0.002) Loss 2.6572 (2.5986) Prec@1 36.250 (36.927) Prec@5 64.375 (67.622) Epoch: [26][7530/11272] Time 0.732 (0.820) Data 0.001 (0.002) Loss 2.4926 (2.5985) Prec@1 38.125 (36.927) Prec@5 73.125 (67.625) Epoch: [26][7540/11272] Time 0.781 (0.820) Data 0.001 (0.002) Loss 2.5685 (2.5986) Prec@1 40.625 (36.926) Prec@5 67.500 (67.622) Epoch: [26][7550/11272] Time 0.928 (0.820) Data 0.002 (0.002) Loss 2.6580 (2.5986) Prec@1 35.625 (36.927) Prec@5 63.750 (67.622) Epoch: [26][7560/11272] Time 0.816 (0.820) Data 0.001 (0.002) Loss 2.6689 (2.5986) Prec@1 31.875 (36.927) Prec@5 66.250 (67.620) Epoch: [26][7570/11272] Time 0.808 (0.820) Data 0.002 (0.002) Loss 2.5650 (2.5985) Prec@1 40.625 (36.928) Prec@5 68.750 (67.621) Epoch: [26][7580/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.2873 (2.5985) Prec@1 42.500 (36.928) Prec@5 70.625 (67.622) Epoch: [26][7590/11272] Time 0.906 (0.820) Data 0.005 (0.002) Loss 2.4495 (2.5986) Prec@1 41.250 (36.928) Prec@5 71.250 (67.621) Epoch: [26][7600/11272] Time 0.730 (0.820) Data 0.001 (0.002) Loss 2.6218 (2.5986) Prec@1 36.875 (36.926) Prec@5 65.625 (67.620) Epoch: [26][7610/11272] Time 0.759 (0.820) Data 0.002 (0.002) Loss 2.5381 (2.5985) Prec@1 42.500 (36.928) Prec@5 63.750 (67.621) Epoch: [26][7620/11272] Time 0.852 (0.820) Data 0.001 (0.002) Loss 2.4057 (2.5984) Prec@1 40.625 (36.931) Prec@5 73.125 (67.624) Epoch: [26][7630/11272] Time 0.868 (0.820) Data 0.001 (0.002) Loss 2.6952 (2.5985) Prec@1 36.875 (36.930) Prec@5 61.250 (67.622) Epoch: [26][7640/11272] Time 0.736 (0.820) Data 0.002 (0.002) Loss 2.5340 (2.5985) Prec@1 36.875 (36.928) Prec@5 71.875 (67.623) Epoch: [26][7650/11272] Time 0.781 (0.820) Data 0.003 (0.002) Loss 2.5732 (2.5985) Prec@1 35.000 (36.926) Prec@5 65.625 (67.623) Epoch: [26][7660/11272] Time 0.880 (0.820) Data 0.001 (0.002) Loss 2.8035 (2.5985) Prec@1 29.375 (36.924) Prec@5 67.500 (67.622) Epoch: [26][7670/11272] Time 0.867 (0.820) Data 0.002 (0.002) Loss 2.9072 (2.5986) Prec@1 26.875 (36.923) Prec@5 62.500 (67.623) Epoch: [26][7680/11272] Time 0.822 (0.820) Data 0.001 (0.002) Loss 2.7073 (2.5986) Prec@1 40.000 (36.923) Prec@5 62.500 (67.623) Epoch: [26][7690/11272] Time 0.738 (0.820) Data 0.002 (0.002) Loss 2.6781 (2.5986) Prec@1 38.125 (36.922) Prec@5 70.000 (67.623) Epoch: [26][7700/11272] Time 0.873 (0.820) Data 0.002 (0.002) Loss 2.5064 (2.5986) Prec@1 39.375 (36.921) Prec@5 68.125 (67.622) Epoch: [26][7710/11272] Time 0.787 (0.820) Data 0.003 (0.002) Loss 2.4443 (2.5986) Prec@1 35.625 (36.922) Prec@5 68.125 (67.623) Epoch: [26][7720/11272] Time 0.797 (0.820) Data 0.001 (0.002) Loss 2.6146 (2.5987) Prec@1 34.375 (36.918) Prec@5 66.875 (67.621) Epoch: [26][7730/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.7023 (2.5987) Prec@1 40.000 (36.920) Prec@5 63.125 (67.620) Epoch: [26][7740/11272] Time 0.904 (0.820) Data 0.002 (0.002) Loss 2.4881 (2.5987) Prec@1 41.875 (36.919) Prec@5 65.000 (67.618) Epoch: [26][7750/11272] Time 0.758 (0.820) Data 0.001 (0.002) Loss 2.4827 (2.5987) Prec@1 38.125 (36.920) Prec@5 70.625 (67.619) Epoch: [26][7760/11272] Time 0.743 (0.820) Data 0.002 (0.002) Loss 2.4256 (2.5987) Prec@1 38.125 (36.918) Prec@5 71.250 (67.618) Epoch: [26][7770/11272] Time 0.860 (0.820) Data 0.002 (0.002) Loss 2.7151 (2.5988) Prec@1 38.125 (36.917) Prec@5 64.375 (67.617) Epoch: [26][7780/11272] Time 0.934 (0.820) Data 0.002 (0.002) Loss 2.9157 (2.5989) Prec@1 30.625 (36.913) Prec@5 60.000 (67.616) Epoch: [26][7790/11272] Time 0.780 (0.820) Data 0.002 (0.002) Loss 2.5603 (2.5989) Prec@1 38.125 (36.913) Prec@5 68.750 (67.617) Epoch: [26][7800/11272] Time 0.757 (0.820) Data 0.002 (0.002) Loss 2.3469 (2.5988) Prec@1 42.500 (36.915) Prec@5 75.625 (67.619) Epoch: [26][7810/11272] Time 0.889 (0.820) Data 0.001 (0.002) Loss 2.4775 (2.5989) Prec@1 38.125 (36.914) Prec@5 68.750 (67.618) Epoch: [26][7820/11272] Time 0.926 (0.820) Data 0.002 (0.002) Loss 2.9418 (2.5989) Prec@1 33.125 (36.914) Prec@5 59.375 (67.620) Epoch: [26][7830/11272] Time 0.797 (0.820) Data 0.001 (0.002) Loss 2.4491 (2.5989) Prec@1 40.000 (36.914) Prec@5 72.500 (67.619) Epoch: [26][7840/11272] Time 0.897 (0.820) Data 0.002 (0.002) Loss 2.5058 (2.5990) Prec@1 39.375 (36.912) Prec@5 74.375 (67.617) Epoch: [26][7850/11272] Time 0.837 (0.820) Data 0.001 (0.002) Loss 2.4566 (2.5990) Prec@1 38.125 (36.911) Prec@5 70.000 (67.615) Epoch: [26][7860/11272] Time 0.768 (0.820) Data 0.001 (0.002) Loss 2.3780 (2.5990) Prec@1 44.375 (36.911) Prec@5 71.250 (67.614) Epoch: [26][7870/11272] Time 0.754 (0.820) Data 0.002 (0.002) Loss 2.5075 (2.5990) Prec@1 36.875 (36.911) Prec@5 69.375 (67.615) Epoch: [26][7880/11272] Time 0.898 (0.820) Data 0.002 (0.002) Loss 2.8460 (2.5990) Prec@1 31.875 (36.909) Prec@5 65.625 (67.613) Epoch: [26][7890/11272] Time 0.908 (0.820) Data 0.002 (0.002) Loss 2.6399 (2.5990) Prec@1 33.750 (36.909) Prec@5 66.250 (67.615) Epoch: [26][7900/11272] Time 0.774 (0.820) Data 0.002 (0.002) Loss 2.4826 (2.5991) Prec@1 43.125 (36.906) Prec@5 69.375 (67.614) Epoch: [26][7910/11272] Time 0.789 (0.820) Data 0.001 (0.002) Loss 2.9206 (2.5991) Prec@1 36.250 (36.907) Prec@5 61.875 (67.613) Epoch: [26][7920/11272] Time 0.859 (0.820) Data 0.001 (0.002) Loss 2.3773 (2.5992) Prec@1 45.000 (36.905) Prec@5 72.500 (67.612) Epoch: [26][7930/11272] Time 0.874 (0.820) Data 0.001 (0.002) Loss 2.4648 (2.5991) Prec@1 39.375 (36.906) Prec@5 70.000 (67.614) Epoch: [26][7940/11272] Time 0.745 (0.820) Data 0.002 (0.002) Loss 2.6492 (2.5992) Prec@1 39.375 (36.906) Prec@5 70.625 (67.612) Epoch: [26][7950/11272] Time 0.761 (0.820) Data 0.001 (0.002) Loss 2.5856 (2.5993) Prec@1 33.750 (36.904) Prec@5 66.875 (67.612) Epoch: [26][7960/11272] Time 0.913 (0.820) Data 0.002 (0.002) Loss 2.6848 (2.5992) Prec@1 31.250 (36.903) Prec@5 67.500 (67.612) Epoch: [26][7970/11272] Time 0.893 (0.820) Data 0.001 (0.002) Loss 2.3845 (2.5992) Prec@1 38.750 (36.905) Prec@5 72.500 (67.612) Epoch: [26][7980/11272] Time 0.739 (0.820) Data 0.002 (0.002) Loss 2.5484 (2.5992) Prec@1 40.625 (36.904) Prec@5 70.000 (67.612) Epoch: [26][7990/11272] Time 0.822 (0.820) Data 0.001 (0.002) Loss 2.7403 (2.5993) Prec@1 36.250 (36.904) Prec@5 67.500 (67.611) Epoch: [26][8000/11272] Time 0.884 (0.820) Data 0.001 (0.002) Loss 2.7332 (2.5995) Prec@1 33.750 (36.901) Prec@5 62.500 (67.609) Epoch: [26][8010/11272] Time 0.765 (0.820) Data 0.001 (0.002) Loss 2.5753 (2.5996) Prec@1 38.125 (36.898) Prec@5 66.875 (67.608) Epoch: [26][8020/11272] Time 0.787 (0.820) Data 0.002 (0.002) Loss 2.6832 (2.5996) Prec@1 34.375 (36.895) Prec@5 65.625 (67.607) Epoch: [26][8030/11272] Time 0.936 (0.820) Data 0.002 (0.002) Loss 2.6389 (2.5996) Prec@1 37.500 (36.895) Prec@5 65.625 (67.608) Epoch: [26][8040/11272] Time 0.886 (0.820) Data 0.001 (0.002) Loss 2.3265 (2.5995) Prec@1 48.125 (36.897) Prec@5 75.000 (67.609) Epoch: [26][8050/11272] Time 0.730 (0.820) Data 0.001 (0.002) Loss 2.3357 (2.5996) Prec@1 42.500 (36.897) Prec@5 72.500 (67.607) Epoch: [26][8060/11272] Time 0.777 (0.820) Data 0.001 (0.002) Loss 2.4560 (2.5996) Prec@1 40.625 (36.897) Prec@5 75.000 (67.607) Epoch: [26][8070/11272] Time 0.910 (0.820) Data 0.001 (0.002) Loss 2.6499 (2.5997) Prec@1 38.750 (36.896) Prec@5 67.500 (67.607) Epoch: [26][8080/11272] Time 0.934 (0.820) Data 0.002 (0.002) Loss 2.7667 (2.5996) Prec@1 32.500 (36.896) Prec@5 68.125 (67.607) Epoch: [26][8090/11272] Time 0.774 (0.820) Data 0.002 (0.002) Loss 2.5110 (2.5998) Prec@1 41.875 (36.896) Prec@5 71.875 (67.604) Epoch: [26][8100/11272] Time 0.764 (0.820) Data 0.001 (0.002) Loss 2.7573 (2.5997) Prec@1 36.875 (36.897) Prec@5 65.625 (67.605) Epoch: [26][8110/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.6723 (2.5997) Prec@1 36.875 (36.899) Prec@5 62.500 (67.604) Epoch: [26][8120/11272] Time 0.734 (0.820) Data 0.002 (0.002) Loss 2.3064 (2.5997) Prec@1 46.250 (36.898) Prec@5 71.250 (67.602) Epoch: [26][8130/11272] Time 0.783 (0.820) Data 0.001 (0.002) Loss 2.5963 (2.5998) Prec@1 33.750 (36.895) Prec@5 68.750 (67.601) Epoch: [26][8140/11272] Time 0.887 (0.820) Data 0.002 (0.002) Loss 2.5999 (2.5999) Prec@1 31.875 (36.893) Prec@5 70.625 (67.599) Epoch: [26][8150/11272] Time 0.903 (0.820) Data 0.002 (0.002) Loss 2.7853 (2.6000) Prec@1 33.750 (36.891) Prec@5 63.125 (67.596) Epoch: [26][8160/11272] Time 0.831 (0.820) Data 0.002 (0.002) Loss 2.8634 (2.5999) Prec@1 30.625 (36.892) Prec@5 62.500 (67.598) Epoch: [26][8170/11272] Time 0.742 (0.820) Data 0.002 (0.002) Loss 2.4702 (2.5999) Prec@1 39.375 (36.894) Prec@5 72.500 (67.599) Epoch: [26][8180/11272] Time 0.855 (0.820) Data 0.001 (0.002) Loss 2.3864 (2.5999) Prec@1 43.750 (36.894) Prec@5 66.875 (67.600) Epoch: [26][8190/11272] Time 0.912 (0.820) Data 0.002 (0.002) Loss 2.5137 (2.5999) Prec@1 38.750 (36.895) Prec@5 70.625 (67.598) Epoch: [26][8200/11272] Time 0.770 (0.820) Data 0.001 (0.002) Loss 2.4858 (2.5998) Prec@1 41.875 (36.896) Prec@5 71.250 (67.599) Epoch: [26][8210/11272] Time 0.777 (0.820) Data 0.002 (0.002) Loss 2.6428 (2.5998) Prec@1 35.625 (36.897) Prec@5 68.125 (67.597) Epoch: [26][8220/11272] Time 0.877 (0.820) Data 0.002 (0.002) Loss 2.7674 (2.5998) Prec@1 26.875 (36.897) Prec@5 65.000 (67.598) Epoch: [26][8230/11272] Time 0.863 (0.820) Data 0.002 (0.002) Loss 2.6645 (2.5997) Prec@1 35.625 (36.898) Prec@5 66.250 (67.600) Epoch: [26][8240/11272] Time 0.727 (0.820) Data 0.002 (0.002) Loss 2.6399 (2.5998) Prec@1 37.500 (36.896) Prec@5 68.125 (67.598) Epoch: [26][8250/11272] Time 0.893 (0.820) Data 0.002 (0.002) Loss 2.2192 (2.5997) Prec@1 45.000 (36.898) Prec@5 75.000 (67.599) Epoch: [26][8260/11272] Time 0.875 (0.820) Data 0.001 (0.002) Loss 2.6434 (2.5997) Prec@1 35.625 (36.898) Prec@5 68.125 (67.599) Epoch: [26][8270/11272] Time 0.777 (0.820) Data 0.002 (0.002) Loss 2.5188 (2.5996) Prec@1 35.000 (36.899) Prec@5 71.875 (67.603) Epoch: [26][8280/11272] Time 0.763 (0.820) Data 0.001 (0.002) Loss 2.6374 (2.5996) Prec@1 34.375 (36.900) Prec@5 68.750 (67.602) Epoch: [26][8290/11272] Time 0.887 (0.820) Data 0.002 (0.002) Loss 2.8519 (2.5995) Prec@1 33.750 (36.902) Prec@5 62.500 (67.604) Epoch: [26][8300/11272] Time 0.863 (0.820) Data 0.001 (0.002) Loss 2.8561 (2.5995) Prec@1 33.750 (36.904) Prec@5 61.250 (67.606) Epoch: [26][8310/11272] Time 0.792 (0.820) Data 0.002 (0.002) Loss 2.9809 (2.5996) Prec@1 27.500 (36.902) Prec@5 61.875 (67.606) Epoch: [26][8320/11272] Time 0.792 (0.820) Data 0.002 (0.002) Loss 2.5059 (2.5996) Prec@1 43.125 (36.901) Prec@5 67.500 (67.605) Epoch: [26][8330/11272] Time 0.926 (0.820) Data 0.002 (0.002) Loss 2.6502 (2.5996) Prec@1 33.750 (36.903) Prec@5 63.750 (67.606) Epoch: [26][8340/11272] Time 0.892 (0.820) Data 0.001 (0.002) Loss 2.2477 (2.5995) Prec@1 40.000 (36.903) Prec@5 72.500 (67.606) Epoch: [26][8350/11272] Time 0.821 (0.820) Data 0.002 (0.002) Loss 2.7497 (2.5995) Prec@1 33.750 (36.905) Prec@5 68.750 (67.608) Epoch: [26][8360/11272] Time 0.777 (0.820) Data 0.002 (0.002) Loss 2.6804 (2.5994) Prec@1 35.625 (36.905) Prec@5 68.125 (67.610) Epoch: [26][8370/11272] Time 0.941 (0.820) Data 0.002 (0.002) Loss 2.6617 (2.5994) Prec@1 35.000 (36.904) Prec@5 65.000 (67.608) Epoch: [26][8380/11272] Time 0.734 (0.820) Data 0.003 (0.002) Loss 2.4900 (2.5996) Prec@1 40.625 (36.901) Prec@5 70.000 (67.606) Epoch: [26][8390/11272] Time 0.766 (0.820) Data 0.002 (0.002) Loss 2.6354 (2.5995) Prec@1 39.375 (36.903) Prec@5 66.250 (67.608) Epoch: [26][8400/11272] Time 0.856 (0.820) Data 0.002 (0.002) Loss 2.3478 (2.5995) Prec@1 36.250 (36.903) Prec@5 71.875 (67.608) Epoch: [26][8410/11272] Time 0.931 (0.820) Data 0.002 (0.002) Loss 2.4354 (2.5995) Prec@1 40.000 (36.904) Prec@5 75.000 (67.609) Epoch: [26][8420/11272] Time 0.760 (0.820) Data 0.003 (0.002) Loss 2.6107 (2.5995) Prec@1 35.000 (36.904) Prec@5 70.625 (67.610) Epoch: [26][8430/11272] Time 0.742 (0.820) Data 0.002 (0.002) Loss 2.5024 (2.5995) Prec@1 39.375 (36.903) Prec@5 69.375 (67.609) Epoch: [26][8440/11272] Time 0.876 (0.820) Data 0.002 (0.002) Loss 2.6674 (2.5995) Prec@1 30.000 (36.902) Prec@5 67.500 (67.610) Epoch: [26][8450/11272] Time 0.890 (0.820) Data 0.002 (0.002) Loss 2.4878 (2.5994) Prec@1 36.875 (36.904) Prec@5 67.500 (67.613) Epoch: [26][8460/11272] Time 0.760 (0.820) Data 0.001 (0.002) Loss 2.5989 (2.5994) Prec@1 36.250 (36.904) Prec@5 66.250 (67.615) Epoch: [26][8470/11272] Time 0.739 (0.820) Data 0.002 (0.002) Loss 2.6004 (2.5994) Prec@1 36.875 (36.903) Prec@5 70.000 (67.615) Epoch: [26][8480/11272] Time 0.907 (0.820) Data 0.001 (0.002) Loss 2.7862 (2.5995) Prec@1 34.375 (36.903) Prec@5 65.000 (67.611) Epoch: [26][8490/11272] Time 0.893 (0.820) Data 0.002 (0.002) Loss 2.4670 (2.5996) Prec@1 38.125 (36.902) Prec@5 67.500 (67.611) Epoch: [26][8500/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.5999 (2.5997) Prec@1 38.750 (36.903) Prec@5 66.875 (67.610) Epoch: [26][8510/11272] Time 0.840 (0.820) Data 0.002 (0.002) Loss 2.5686 (2.5996) Prec@1 34.375 (36.903) Prec@5 66.875 (67.610) Epoch: [26][8520/11272] Time 0.868 (0.820) Data 0.002 (0.002) Loss 2.5170 (2.5996) Prec@1 36.875 (36.902) Prec@5 69.375 (67.611) Epoch: [26][8530/11272] Time 0.745 (0.820) Data 0.002 (0.002) Loss 2.7729 (2.5996) Prec@1 32.500 (36.902) Prec@5 65.625 (67.611) Epoch: [26][8540/11272] Time 0.788 (0.820) Data 0.002 (0.002) Loss 2.6300 (2.5997) Prec@1 32.500 (36.900) Prec@5 72.500 (67.610) Epoch: [26][8550/11272] Time 0.844 (0.820) Data 0.001 (0.002) Loss 2.5741 (2.5997) Prec@1 36.875 (36.903) Prec@5 64.375 (67.610) Epoch: [26][8560/11272] Time 0.881 (0.820) Data 0.002 (0.002) Loss 2.6895 (2.5996) Prec@1 35.000 (36.903) Prec@5 68.750 (67.610) Epoch: [26][8570/11272] Time 0.729 (0.820) Data 0.001 (0.002) Loss 2.3710 (2.5996) Prec@1 38.125 (36.904) Prec@5 70.000 (67.611) Epoch: [26][8580/11272] Time 0.764 (0.820) Data 0.003 (0.002) Loss 2.8685 (2.5997) Prec@1 30.625 (36.902) Prec@5 63.750 (67.609) Epoch: [26][8590/11272] Time 0.866 (0.820) Data 0.001 (0.002) Loss 2.6126 (2.5996) Prec@1 40.000 (36.905) Prec@5 67.500 (67.609) Epoch: [26][8600/11272] Time 0.877 (0.820) Data 0.002 (0.002) Loss 2.6961 (2.5996) Prec@1 33.750 (36.906) Prec@5 64.375 (67.610) Epoch: [26][8610/11272] Time 0.761 (0.820) Data 0.002 (0.002) Loss 2.5457 (2.5996) Prec@1 33.125 (36.906) Prec@5 67.500 (67.611) Epoch: [26][8620/11272] Time 0.770 (0.820) Data 0.002 (0.002) Loss 2.8169 (2.5996) Prec@1 33.125 (36.905) Prec@5 66.875 (67.611) Epoch: [26][8630/11272] Time 0.837 (0.820) Data 0.002 (0.002) Loss 2.5683 (2.5996) Prec@1 38.125 (36.905) Prec@5 63.750 (67.610) Epoch: [26][8640/11272] Time 0.764 (0.820) Data 0.003 (0.002) Loss 2.5033 (2.5996) Prec@1 41.875 (36.906) Prec@5 70.625 (67.610) Epoch: [26][8650/11272] Time 0.751 (0.820) Data 0.002 (0.002) Loss 2.6476 (2.5996) Prec@1 35.000 (36.905) Prec@5 66.250 (67.610) Epoch: [26][8660/11272] Time 0.840 (0.820) Data 0.002 (0.002) Loss 2.5991 (2.5996) Prec@1 38.125 (36.903) Prec@5 68.750 (67.610) Epoch: [26][8670/11272] Time 0.905 (0.820) Data 0.002 (0.002) Loss 2.2618 (2.5996) Prec@1 44.375 (36.904) Prec@5 75.000 (67.611) Epoch: [26][8680/11272] Time 0.764 (0.820) Data 0.001 (0.002) Loss 2.6422 (2.5995) Prec@1 33.125 (36.903) Prec@5 68.750 (67.613) Epoch: [26][8690/11272] Time 0.752 (0.820) Data 0.001 (0.002) Loss 2.7159 (2.5996) Prec@1 37.500 (36.901) Prec@5 68.125 (67.613) Epoch: [26][8700/11272] Time 0.902 (0.820) Data 0.001 (0.002) Loss 2.4585 (2.5995) Prec@1 38.750 (36.903) Prec@5 72.500 (67.615) Epoch: [26][8710/11272] Time 0.923 (0.820) Data 0.002 (0.002) Loss 2.6836 (2.5995) Prec@1 38.125 (36.903) Prec@5 68.750 (67.617) Epoch: [26][8720/11272] Time 0.758 (0.820) Data 0.002 (0.002) Loss 2.5997 (2.5995) Prec@1 37.500 (36.905) Prec@5 66.875 (67.618) Epoch: [26][8730/11272] Time 0.751 (0.820) Data 0.002 (0.002) Loss 2.4960 (2.5995) Prec@1 35.625 (36.904) Prec@5 65.625 (67.619) Epoch: [26][8740/11272] Time 0.881 (0.820) Data 0.001 (0.002) Loss 2.5607 (2.5995) Prec@1 36.250 (36.904) Prec@5 61.875 (67.618) Epoch: [26][8750/11272] Time 0.923 (0.820) Data 0.002 (0.002) Loss 2.6235 (2.5995) Prec@1 35.625 (36.902) Prec@5 65.625 (67.617) Epoch: [26][8760/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.2184 (2.5995) Prec@1 43.125 (36.905) Prec@5 74.375 (67.617) Epoch: [26][8770/11272] Time 0.816 (0.820) Data 0.002 (0.002) Loss 2.5179 (2.5994) Prec@1 38.125 (36.906) Prec@5 68.750 (67.617) Epoch: [26][8780/11272] Time 0.925 (0.820) Data 0.002 (0.002) Loss 2.5721 (2.5994) Prec@1 34.375 (36.906) Prec@5 66.875 (67.618) Epoch: [26][8790/11272] Time 0.787 (0.820) Data 0.002 (0.002) Loss 2.4174 (2.5994) Prec@1 45.000 (36.908) Prec@5 69.375 (67.618) Epoch: [26][8800/11272] Time 0.741 (0.820) Data 0.001 (0.002) Loss 2.5077 (2.5994) Prec@1 36.875 (36.909) Prec@5 71.875 (67.618) Epoch: [26][8810/11272] Time 0.846 (0.820) Data 0.002 (0.002) Loss 2.5560 (2.5995) Prec@1 37.500 (36.909) Prec@5 70.625 (67.616) Epoch: [26][8820/11272] Time 0.906 (0.820) Data 0.001 (0.002) Loss 2.6202 (2.5995) Prec@1 28.750 (36.909) Prec@5 68.750 (67.617) Epoch: [26][8830/11272] Time 0.732 (0.820) Data 0.001 (0.002) Loss 2.8348 (2.5995) Prec@1 33.750 (36.910) Prec@5 65.000 (67.616) Epoch: [26][8840/11272] Time 0.770 (0.820) Data 0.002 (0.002) Loss 2.4972 (2.5995) Prec@1 37.500 (36.911) Prec@5 66.250 (67.616) Epoch: [26][8850/11272] Time 0.851 (0.820) Data 0.002 (0.002) Loss 2.7274 (2.5994) Prec@1 35.000 (36.912) Prec@5 66.250 (67.617) Epoch: [26][8860/11272] Time 0.877 (0.820) Data 0.002 (0.002) Loss 2.4382 (2.5994) Prec@1 40.625 (36.913) Prec@5 70.000 (67.616) Epoch: [26][8870/11272] Time 0.754 (0.820) Data 0.001 (0.002) Loss 2.7196 (2.5994) Prec@1 35.000 (36.913) Prec@5 66.250 (67.616) Epoch: [26][8880/11272] Time 0.736 (0.820) Data 0.002 (0.002) Loss 2.4608 (2.5994) Prec@1 41.250 (36.914) Prec@5 68.125 (67.615) Epoch: [26][8890/11272] Time 0.864 (0.820) Data 0.001 (0.002) Loss 2.5413 (2.5994) Prec@1 36.250 (36.914) Prec@5 69.375 (67.616) Epoch: [26][8900/11272] Time 0.854 (0.820) Data 0.002 (0.002) Loss 2.7822 (2.5995) Prec@1 38.125 (36.914) Prec@5 60.000 (67.614) Epoch: [26][8910/11272] Time 0.766 (0.820) Data 0.002 (0.002) Loss 2.5580 (2.5995) Prec@1 35.625 (36.912) Prec@5 68.750 (67.615) Epoch: [26][8920/11272] Time 0.918 (0.820) Data 0.003 (0.002) Loss 2.7480 (2.5996) Prec@1 33.125 (36.911) Prec@5 66.875 (67.614) Epoch: [26][8930/11272] Time 0.850 (0.820) Data 0.001 (0.002) Loss 2.3753 (2.5996) Prec@1 35.625 (36.909) Prec@5 73.750 (67.613) Epoch: [26][8940/11272] Time 0.753 (0.820) Data 0.002 (0.002) Loss 2.8897 (2.5997) Prec@1 29.375 (36.906) Prec@5 61.250 (67.610) Epoch: [26][8950/11272] Time 0.750 (0.820) Data 0.001 (0.002) Loss 2.4993 (2.5996) Prec@1 32.500 (36.906) Prec@5 71.250 (67.610) Epoch: [26][8960/11272] Time 0.924 (0.820) Data 0.002 (0.002) Loss 2.5539 (2.5997) Prec@1 30.000 (36.904) Prec@5 71.250 (67.608) Epoch: [26][8970/11272] Time 0.912 (0.820) Data 0.002 (0.002) Loss 2.6343 (2.5996) Prec@1 41.875 (36.906) Prec@5 67.500 (67.609) Epoch: [26][8980/11272] Time 0.772 (0.820) Data 0.002 (0.002) Loss 2.4457 (2.5996) Prec@1 41.250 (36.905) Prec@5 70.000 (67.609) Epoch: [26][8990/11272] Time 0.783 (0.820) Data 0.001 (0.002) Loss 2.5887 (2.5996) Prec@1 36.250 (36.907) Prec@5 68.125 (67.610) Epoch: [26][9000/11272] Time 0.858 (0.820) Data 0.002 (0.002) Loss 2.6334 (2.5995) Prec@1 36.250 (36.909) Prec@5 67.500 (67.609) Epoch: [26][9010/11272] Time 0.871 (0.820) Data 0.001 (0.002) Loss 2.2868 (2.5995) Prec@1 43.125 (36.909) Prec@5 68.750 (67.610) Epoch: [26][9020/11272] Time 0.734 (0.820) Data 0.002 (0.002) Loss 2.7567 (2.5995) Prec@1 37.500 (36.909) Prec@5 65.625 (67.612) Epoch: [26][9030/11272] Time 0.744 (0.820) Data 0.001 (0.002) Loss 2.5719 (2.5995) Prec@1 41.250 (36.908) Prec@5 70.000 (67.611) Epoch: [26][9040/11272] Time 0.907 (0.820) Data 0.002 (0.002) Loss 2.7961 (2.5996) Prec@1 33.750 (36.907) Prec@5 64.375 (67.609) Epoch: [26][9050/11272] Time 0.782 (0.820) Data 0.002 (0.002) Loss 2.5922 (2.5996) Prec@1 39.375 (36.908) Prec@5 67.500 (67.609) Epoch: [26][9060/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.8980 (2.5997) Prec@1 37.500 (36.908) Prec@5 63.750 (67.609) Epoch: [26][9070/11272] Time 0.826 (0.820) Data 0.001 (0.002) Loss 2.3535 (2.5996) Prec@1 41.875 (36.908) Prec@5 71.875 (67.610) Epoch: [26][9080/11272] Time 0.831 (0.820) Data 0.001 (0.002) Loss 2.5081 (2.5997) Prec@1 41.250 (36.906) Prec@5 70.000 (67.607) Epoch: [26][9090/11272] Time 0.752 (0.820) Data 0.002 (0.002) Loss 2.4586 (2.5997) Prec@1 36.250 (36.906) Prec@5 75.625 (67.607) Epoch: [26][9100/11272] Time 0.739 (0.820) Data 0.002 (0.002) Loss 2.4709 (2.5998) Prec@1 42.500 (36.905) Prec@5 71.875 (67.606) Epoch: [26][9110/11272] Time 0.931 (0.820) Data 0.001 (0.002) Loss 2.5887 (2.5998) Prec@1 31.875 (36.906) Prec@5 70.000 (67.605) Epoch: [26][9120/11272] Time 0.898 (0.820) Data 0.001 (0.002) Loss 2.7101 (2.5998) Prec@1 36.250 (36.904) Prec@5 63.750 (67.605) Epoch: [26][9130/11272] Time 0.802 (0.820) Data 0.002 (0.002) Loss 2.7970 (2.5998) Prec@1 35.000 (36.906) Prec@5 60.625 (67.605) Epoch: [26][9140/11272] Time 0.763 (0.820) Data 0.002 (0.002) Loss 2.5489 (2.5998) Prec@1 40.625 (36.906) Prec@5 65.625 (67.604) Epoch: [26][9150/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.6443 (2.5998) Prec@1 34.375 (36.906) Prec@5 65.000 (67.603) Epoch: [26][9160/11272] Time 0.892 (0.820) Data 0.002 (0.002) Loss 2.7381 (2.5998) Prec@1 33.750 (36.905) Prec@5 67.500 (67.603) Epoch: [26][9170/11272] Time 0.756 (0.820) Data 0.001 (0.002) Loss 2.4684 (2.5997) Prec@1 37.500 (36.907) Prec@5 70.625 (67.603) Epoch: [26][9180/11272] Time 0.852 (0.820) Data 0.002 (0.002) Loss 2.6527 (2.5997) Prec@1 35.000 (36.907) Prec@5 64.375 (67.602) Epoch: [26][9190/11272] Time 0.861 (0.820) Data 0.001 (0.002) Loss 2.3405 (2.5997) Prec@1 45.000 (36.907) Prec@5 72.500 (67.603) Epoch: [26][9200/11272] Time 0.723 (0.820) Data 0.001 (0.002) Loss 2.6271 (2.5998) Prec@1 40.000 (36.906) Prec@5 62.500 (67.601) Epoch: [26][9210/11272] Time 0.791 (0.820) Data 0.002 (0.002) Loss 2.6776 (2.5998) Prec@1 31.875 (36.905) Prec@5 65.000 (67.601) Epoch: [26][9220/11272] Time 0.853 (0.820) Data 0.002 (0.002) Loss 2.7164 (2.5998) Prec@1 40.000 (36.905) Prec@5 64.375 (67.601) Epoch: [26][9230/11272] Time 0.869 (0.820) Data 0.002 (0.002) Loss 2.4882 (2.5998) Prec@1 45.000 (36.905) Prec@5 67.500 (67.601) Epoch: [26][9240/11272] Time 0.785 (0.820) Data 0.003 (0.002) Loss 2.7923 (2.5998) Prec@1 28.125 (36.906) Prec@5 63.750 (67.602) Epoch: [26][9250/11272] Time 0.794 (0.820) Data 0.001 (0.002) Loss 2.5014 (2.5998) Prec@1 35.000 (36.904) Prec@5 71.250 (67.601) Epoch: [26][9260/11272] Time 0.911 (0.820) Data 0.002 (0.002) Loss 2.5814 (2.5998) Prec@1 36.875 (36.902) Prec@5 66.875 (67.599) Epoch: [26][9270/11272] Time 0.852 (0.820) Data 0.001 (0.002) Loss 2.4852 (2.5997) Prec@1 40.000 (36.904) Prec@5 69.375 (67.599) Epoch: [26][9280/11272] Time 0.822 (0.820) Data 0.002 (0.002) Loss 2.6675 (2.5998) Prec@1 36.250 (36.904) Prec@5 66.875 (67.601) Epoch: [26][9290/11272] Time 0.733 (0.820) Data 0.001 (0.002) Loss 2.5271 (2.5998) Prec@1 43.125 (36.903) Prec@5 71.250 (67.601) Epoch: [26][9300/11272] Time 0.893 (0.820) Data 0.002 (0.002) Loss 2.7278 (2.5998) Prec@1 36.250 (36.900) Prec@5 65.625 (67.599) Epoch: [26][9310/11272] Time 0.739 (0.820) Data 0.003 (0.002) Loss 2.7523 (2.5998) Prec@1 33.750 (36.901) Prec@5 67.500 (67.600) Epoch: [26][9320/11272] Time 0.726 (0.820) Data 0.002 (0.002) Loss 2.6097 (2.5998) Prec@1 33.125 (36.901) Prec@5 68.750 (67.601) Epoch: [26][9330/11272] Time 0.869 (0.820) Data 0.001 (0.002) Loss 2.5839 (2.5998) Prec@1 34.375 (36.900) Prec@5 66.875 (67.601) Epoch: [26][9340/11272] Time 0.920 (0.820) Data 0.002 (0.002) Loss 2.4343 (2.5998) Prec@1 39.375 (36.899) Prec@5 70.625 (67.600) Epoch: [26][9350/11272] Time 0.773 (0.820) Data 0.001 (0.002) Loss 2.6931 (2.5998) Prec@1 36.250 (36.899) Prec@5 67.500 (67.600) Epoch: [26][9360/11272] Time 0.777 (0.820) Data 0.002 (0.002) Loss 2.8028 (2.5999) Prec@1 28.750 (36.897) Prec@5 64.375 (67.598) Epoch: [26][9370/11272] Time 0.882 (0.820) Data 0.002 (0.002) Loss 2.6695 (2.5998) Prec@1 30.625 (36.898) Prec@5 65.000 (67.599) Epoch: [26][9380/11272] Time 0.908 (0.820) Data 0.002 (0.002) Loss 2.5508 (2.5999) Prec@1 39.375 (36.898) Prec@5 66.250 (67.597) Epoch: [26][9390/11272] Time 0.762 (0.820) Data 0.002 (0.002) Loss 2.2167 (2.5998) Prec@1 43.750 (36.899) Prec@5 73.125 (67.597) Epoch: [26][9400/11272] Time 0.754 (0.820) Data 0.002 (0.002) Loss 2.3656 (2.5998) Prec@1 47.500 (36.899) Prec@5 72.500 (67.598) Epoch: [26][9410/11272] Time 0.868 (0.820) Data 0.001 (0.002) Loss 2.4304 (2.5998) Prec@1 37.500 (36.898) Prec@5 73.125 (67.598) Epoch: [26][9420/11272] Time 0.880 (0.820) Data 0.002 (0.002) Loss 2.1876 (2.5998) Prec@1 44.375 (36.900) Prec@5 76.250 (67.599) Epoch: [26][9430/11272] Time 0.810 (0.820) Data 0.002 (0.002) Loss 2.3826 (2.5997) Prec@1 38.125 (36.902) Prec@5 74.375 (67.598) Epoch: [26][9440/11272] Time 0.889 (0.820) Data 0.003 (0.002) Loss 2.7345 (2.5997) Prec@1 35.625 (36.901) Prec@5 65.625 (67.598) Epoch: [26][9450/11272] Time 0.843 (0.820) Data 0.002 (0.002) Loss 2.7184 (2.5997) Prec@1 33.125 (36.902) Prec@5 66.875 (67.598) Epoch: [26][9460/11272] Time 0.792 (0.820) Data 0.002 (0.002) Loss 2.5283 (2.5997) Prec@1 35.000 (36.903) Prec@5 70.625 (67.599) Epoch: [26][9470/11272] Time 0.800 (0.820) Data 0.001 (0.002) Loss 2.8222 (2.5998) Prec@1 31.875 (36.902) Prec@5 60.625 (67.596) Epoch: [26][9480/11272] Time 0.875 (0.821) Data 0.001 (0.002) Loss 2.7880 (2.5998) Prec@1 32.500 (36.900) Prec@5 61.250 (67.595) Epoch: [26][9490/11272] Time 0.955 (0.821) Data 0.002 (0.002) Loss 2.6120 (2.5997) Prec@1 36.875 (36.900) Prec@5 69.375 (67.598) Epoch: [26][9500/11272] Time 0.799 (0.821) Data 0.002 (0.002) Loss 2.3017 (2.5997) Prec@1 40.625 (36.901) Prec@5 73.125 (67.598) Epoch: [26][9510/11272] Time 0.833 (0.821) Data 0.002 (0.002) Loss 2.6156 (2.5996) Prec@1 36.250 (36.902) Prec@5 65.625 (67.600) Epoch: [26][9520/11272] Time 0.852 (0.821) Data 0.001 (0.002) Loss 2.3489 (2.5997) Prec@1 45.000 (36.903) Prec@5 69.375 (67.599) Epoch: [26][9530/11272] Time 0.898 (0.821) Data 0.002 (0.002) Loss 2.7398 (2.5996) Prec@1 35.625 (36.904) Prec@5 61.250 (67.600) Epoch: [26][9540/11272] Time 0.768 (0.821) Data 0.002 (0.002) Loss 2.4861 (2.5996) Prec@1 39.375 (36.903) Prec@5 71.875 (67.600) Epoch: [26][9550/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.4628 (2.5996) Prec@1 39.375 (36.905) Prec@5 71.250 (67.601) Epoch: [26][9560/11272] Time 0.855 (0.821) Data 0.002 (0.002) Loss 2.6371 (2.5996) Prec@1 38.125 (36.905) Prec@5 68.750 (67.601) Epoch: [26][9570/11272] Time 0.750 (0.821) Data 0.004 (0.002) Loss 2.7065 (2.5997) Prec@1 36.875 (36.903) Prec@5 63.750 (67.599) Epoch: [26][9580/11272] Time 0.733 (0.821) Data 0.002 (0.002) Loss 2.4552 (2.5997) Prec@1 38.125 (36.902) Prec@5 66.875 (67.599) Epoch: [26][9590/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.5207 (2.5996) Prec@1 38.750 (36.905) Prec@5 70.625 (67.601) Epoch: [26][9600/11272] Time 0.889 (0.821) Data 0.001 (0.002) Loss 2.5935 (2.5995) Prec@1 39.375 (36.907) Prec@5 72.500 (67.604) Epoch: [26][9610/11272] Time 0.809 (0.821) Data 0.002 (0.002) Loss 2.5107 (2.5995) Prec@1 33.750 (36.906) Prec@5 69.375 (67.605) Epoch: [26][9620/11272] Time 0.762 (0.821) Data 0.001 (0.002) Loss 2.6112 (2.5995) Prec@1 39.375 (36.905) Prec@5 67.500 (67.604) Epoch: [26][9630/11272] Time 0.921 (0.821) Data 0.002 (0.002) Loss 2.8960 (2.5995) Prec@1 30.625 (36.904) Prec@5 61.250 (67.604) Epoch: [26][9640/11272] Time 0.860 (0.821) Data 0.001 (0.002) Loss 2.8618 (2.5996) Prec@1 28.125 (36.903) Prec@5 64.375 (67.604) Epoch: [26][9650/11272] Time 0.785 (0.821) Data 0.002 (0.002) Loss 2.5147 (2.5996) Prec@1 36.875 (36.904) Prec@5 70.625 (67.601) Epoch: [26][9660/11272] Time 0.749 (0.821) Data 0.001 (0.002) Loss 2.8272 (2.5996) Prec@1 31.875 (36.904) Prec@5 62.500 (67.601) Epoch: [26][9670/11272] Time 0.902 (0.821) Data 0.002 (0.002) Loss 2.8553 (2.5996) Prec@1 30.000 (36.904) Prec@5 61.875 (67.600) Epoch: [26][9680/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 3.0222 (2.5996) Prec@1 28.750 (36.905) Prec@5 61.875 (67.600) Epoch: [26][9690/11272] Time 0.758 (0.821) Data 0.002 (0.002) Loss 2.6542 (2.5996) Prec@1 36.250 (36.906) Prec@5 66.250 (67.600) Epoch: [26][9700/11272] Time 0.818 (0.821) Data 0.001 (0.002) Loss 2.7044 (2.5995) Prec@1 33.125 (36.905) Prec@5 65.625 (67.601) Epoch: [26][9710/11272] Time 0.898 (0.821) Data 0.002 (0.002) Loss 2.5557 (2.5995) Prec@1 37.500 (36.905) Prec@5 64.375 (67.602) Epoch: [26][9720/11272] Time 0.730 (0.821) Data 0.002 (0.002) Loss 2.6734 (2.5995) Prec@1 35.625 (36.905) Prec@5 65.000 (67.604) Epoch: [26][9730/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.5502 (2.5994) Prec@1 38.750 (36.905) Prec@5 69.375 (67.605) Epoch: [26][9740/11272] Time 0.899 (0.821) Data 0.001 (0.002) Loss 2.4969 (2.5994) Prec@1 39.375 (36.905) Prec@5 69.375 (67.606) Epoch: [26][9750/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.4852 (2.5994) Prec@1 39.375 (36.904) Prec@5 73.125 (67.607) Epoch: [26][9760/11272] Time 0.725 (0.821) Data 0.001 (0.002) Loss 2.6935 (2.5994) Prec@1 33.125 (36.903) Prec@5 63.750 (67.605) Epoch: [26][9770/11272] Time 0.756 (0.821) Data 0.002 (0.002) Loss 2.4806 (2.5994) Prec@1 34.375 (36.903) Prec@5 70.000 (67.606) Epoch: [26][9780/11272] Time 0.855 (0.821) Data 0.001 (0.002) Loss 2.7462 (2.5995) Prec@1 35.625 (36.901) Prec@5 65.625 (67.604) Epoch: [26][9790/11272] Time 0.917 (0.821) Data 0.002 (0.002) Loss 2.7588 (2.5996) Prec@1 32.500 (36.900) Prec@5 64.375 (67.603) Epoch: [26][9800/11272] Time 0.808 (0.821) Data 0.002 (0.002) Loss 2.5027 (2.5995) Prec@1 40.625 (36.902) Prec@5 66.250 (67.605) Epoch: [26][9810/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.5213 (2.5995) Prec@1 41.875 (36.904) Prec@5 68.125 (67.604) Epoch: [26][9820/11272] Time 0.861 (0.821) Data 0.001 (0.002) Loss 2.6088 (2.5995) Prec@1 34.375 (36.902) Prec@5 65.000 (67.604) Epoch: [26][9830/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.4822 (2.5996) Prec@1 39.375 (36.902) Prec@5 68.750 (67.603) Epoch: [26][9840/11272] Time 0.788 (0.821) Data 0.001 (0.002) Loss 2.7178 (2.5997) Prec@1 32.500 (36.899) Prec@5 65.000 (67.601) Epoch: [26][9850/11272] Time 0.865 (0.821) Data 0.002 (0.002) Loss 2.6116 (2.5997) Prec@1 33.125 (36.898) Prec@5 68.750 (67.603) Epoch: [26][9860/11272] Time 0.817 (0.821) Data 0.001 (0.002) Loss 2.5540 (2.5997) Prec@1 35.625 (36.898) Prec@5 69.375 (67.602) Epoch: [26][9870/11272] Time 0.788 (0.821) Data 0.002 (0.002) Loss 2.6851 (2.5997) Prec@1 39.375 (36.897) Prec@5 62.500 (67.602) Epoch: [26][9880/11272] Time 0.784 (0.821) Data 0.001 (0.002) Loss 2.6304 (2.5997) Prec@1 41.250 (36.897) Prec@5 68.125 (67.602) Epoch: [26][9890/11272] Time 0.931 (0.821) Data 0.002 (0.002) Loss 2.5885 (2.5997) Prec@1 35.625 (36.897) Prec@5 65.625 (67.603) Epoch: [26][9900/11272] Time 0.888 (0.821) Data 0.001 (0.002) Loss 2.7659 (2.5997) Prec@1 36.875 (36.897) Prec@5 66.250 (67.602) Epoch: [26][9910/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.5599 (2.5998) Prec@1 43.750 (36.898) Prec@5 66.250 (67.600) Epoch: [26][9920/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.6181 (2.5997) Prec@1 38.125 (36.899) Prec@5 66.250 (67.600) Epoch: [26][9930/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.6665 (2.5996) Prec@1 38.125 (36.900) Prec@5 70.000 (67.602) Epoch: [26][9940/11272] Time 0.835 (0.821) Data 0.002 (0.002) Loss 2.6208 (2.5996) Prec@1 38.125 (36.901) Prec@5 65.625 (67.603) Epoch: [26][9950/11272] Time 0.772 (0.821) Data 0.001 (0.002) Loss 2.6272 (2.5996) Prec@1 33.750 (36.903) Prec@5 69.375 (67.605) Epoch: [26][9960/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.8579 (2.5996) Prec@1 28.750 (36.902) Prec@5 61.875 (67.606) Epoch: [26][9970/11272] Time 0.845 (0.821) Data 0.001 (0.002) Loss 2.5091 (2.5996) Prec@1 39.375 (36.904) Prec@5 71.250 (67.606) Epoch: [26][9980/11272] Time 0.749 (0.821) Data 0.001 (0.002) Loss 2.5955 (2.5996) Prec@1 31.250 (36.903) Prec@5 68.750 (67.605) Epoch: [26][9990/11272] Time 0.762 (0.821) Data 0.001 (0.002) Loss 2.6597 (2.5995) Prec@1 31.875 (36.903) Prec@5 65.625 (67.607) Epoch: [26][10000/11272] Time 0.849 (0.821) Data 0.001 (0.002) Loss 2.6705 (2.5996) Prec@1 35.000 (36.902) Prec@5 69.375 (67.606) Epoch: [26][10010/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.7038 (2.5995) Prec@1 37.500 (36.903) Prec@5 66.250 (67.607) Epoch: [26][10020/11272] Time 0.771 (0.821) Data 0.001 (0.002) Loss 2.5424 (2.5996) Prec@1 42.500 (36.902) Prec@5 69.375 (67.607) Epoch: [26][10030/11272] Time 0.763 (0.821) Data 0.002 (0.002) Loss 2.3193 (2.5995) Prec@1 41.875 (36.903) Prec@5 71.875 (67.607) Epoch: [26][10040/11272] Time 0.932 (0.821) Data 0.001 (0.002) Loss 2.5143 (2.5995) Prec@1 38.125 (36.902) Prec@5 70.625 (67.609) Epoch: [26][10050/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.7289 (2.5995) Prec@1 33.750 (36.903) Prec@5 67.500 (67.610) Epoch: [26][10060/11272] Time 0.745 (0.821) Data 0.001 (0.002) Loss 2.5386 (2.5994) Prec@1 43.750 (36.904) Prec@5 67.500 (67.612) Epoch: [26][10070/11272] Time 0.784 (0.821) Data 0.002 (0.002) Loss 2.7881 (2.5994) Prec@1 33.125 (36.904) Prec@5 65.625 (67.613) Epoch: [26][10080/11272] Time 0.868 (0.821) Data 0.001 (0.002) Loss 2.6482 (2.5994) Prec@1 34.375 (36.905) Prec@5 66.250 (67.613) Epoch: [26][10090/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.5251 (2.5994) Prec@1 42.500 (36.907) Prec@5 70.000 (67.613) Epoch: [26][10100/11272] Time 0.733 (0.821) Data 0.001 (0.002) Loss 2.2967 (2.5993) Prec@1 40.625 (36.908) Prec@5 73.125 (67.615) Epoch: [26][10110/11272] Time 0.938 (0.821) Data 0.002 (0.002) Loss 2.4855 (2.5993) Prec@1 30.625 (36.906) Prec@5 75.000 (67.615) Epoch: [26][10120/11272] Time 0.862 (0.821) Data 0.001 (0.002) Loss 2.5174 (2.5993) Prec@1 38.750 (36.907) Prec@5 66.250 (67.616) Epoch: [26][10130/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.6263 (2.5993) Prec@1 32.500 (36.909) Prec@5 71.875 (67.616) Epoch: [26][10140/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.3881 (2.5992) Prec@1 38.750 (36.909) Prec@5 70.000 (67.616) Epoch: [26][10150/11272] Time 0.898 (0.821) Data 0.002 (0.002) Loss 2.5536 (2.5993) Prec@1 40.000 (36.907) Prec@5 66.250 (67.614) Epoch: [26][10160/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.5113 (2.5992) Prec@1 36.875 (36.908) Prec@5 70.000 (67.617) Epoch: [26][10170/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.6998 (2.5992) Prec@1 35.625 (36.908) Prec@5 65.000 (67.617) Epoch: [26][10180/11272] Time 0.735 (0.821) Data 0.001 (0.002) Loss 2.4288 (2.5992) Prec@1 41.875 (36.909) Prec@5 72.500 (67.618) Epoch: [26][10190/11272] Time 0.871 (0.821) Data 0.002 (0.002) Loss 2.6483 (2.5991) Prec@1 37.500 (36.909) Prec@5 63.125 (67.618) Epoch: [26][10200/11272] Time 0.847 (0.821) Data 0.001 (0.002) Loss 2.4140 (2.5991) Prec@1 38.750 (36.909) Prec@5 73.125 (67.618) Epoch: [26][10210/11272] Time 0.817 (0.821) Data 0.002 (0.002) Loss 2.3968 (2.5991) Prec@1 41.250 (36.910) Prec@5 72.500 (67.619) Epoch: [26][10220/11272] Time 0.792 (0.821) Data 0.001 (0.002) Loss 2.6778 (2.5990) Prec@1 40.000 (36.910) Prec@5 65.000 (67.620) Epoch: [26][10230/11272] Time 0.882 (0.821) Data 0.002 (0.002) Loss 2.5025 (2.5991) Prec@1 40.000 (36.909) Prec@5 64.375 (67.619) Epoch: [26][10240/11272] Time 0.740 (0.821) Data 0.003 (0.002) Loss 2.3275 (2.5990) Prec@1 43.125 (36.910) Prec@5 76.875 (67.620) Epoch: [26][10250/11272] Time 0.723 (0.821) Data 0.001 (0.002) Loss 2.7584 (2.5990) Prec@1 34.375 (36.909) Prec@5 65.000 (67.620) Epoch: [26][10260/11272] Time 0.936 (0.821) Data 0.002 (0.002) Loss 2.6885 (2.5991) Prec@1 33.125 (36.907) Prec@5 65.000 (67.619) Epoch: [26][10270/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.5289 (2.5990) Prec@1 40.625 (36.908) Prec@5 66.875 (67.619) Epoch: [26][10280/11272] Time 0.758 (0.821) Data 0.002 (0.002) Loss 2.8416 (2.5990) Prec@1 33.125 (36.908) Prec@5 61.250 (67.618) Epoch: [26][10290/11272] Time 0.748 (0.821) Data 0.001 (0.002) Loss 2.2917 (2.5990) Prec@1 43.125 (36.908) Prec@5 73.125 (67.619) Epoch: [26][10300/11272] Time 0.845 (0.821) Data 0.002 (0.002) Loss 2.7673 (2.5990) Prec@1 33.750 (36.907) Prec@5 62.500 (67.618) Epoch: [26][10310/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.7378 (2.5991) Prec@1 38.750 (36.906) Prec@5 67.500 (67.617) Epoch: [26][10320/11272] Time 0.723 (0.821) Data 0.002 (0.002) Loss 2.2780 (2.5990) Prec@1 46.875 (36.907) Prec@5 75.000 (67.619) Epoch: [26][10330/11272] Time 0.763 (0.821) Data 0.001 (0.002) Loss 2.5423 (2.5990) Prec@1 41.875 (36.907) Prec@5 68.125 (67.619) Epoch: [26][10340/11272] Time 0.845 (0.821) Data 0.001 (0.002) Loss 2.7333 (2.5990) Prec@1 33.125 (36.907) Prec@5 63.125 (67.620) Epoch: [26][10350/11272] Time 0.859 (0.821) Data 0.002 (0.002) Loss 2.4817 (2.5990) Prec@1 34.375 (36.910) Prec@5 73.750 (67.621) Epoch: [26][10360/11272] Time 0.741 (0.821) Data 0.002 (0.002) Loss 2.4435 (2.5989) Prec@1 36.875 (36.910) Prec@5 71.250 (67.623) Epoch: [26][10370/11272] Time 0.868 (0.821) Data 0.001 (0.002) Loss 2.3987 (2.5989) Prec@1 39.375 (36.911) Prec@5 70.625 (67.624) Epoch: [26][10380/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.7518 (2.5989) Prec@1 32.500 (36.910) Prec@5 64.375 (67.623) Epoch: [26][10390/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.8102 (2.5989) Prec@1 31.250 (36.912) Prec@5 63.125 (67.624) Epoch: [26][10400/11272] Time 0.762 (0.821) Data 0.002 (0.002) Loss 2.3794 (2.5988) Prec@1 37.500 (36.912) Prec@5 74.375 (67.625) Epoch: [26][10410/11272] Time 0.839 (0.821) Data 0.001 (0.002) Loss 2.7049 (2.5989) Prec@1 33.750 (36.911) Prec@5 65.625 (67.624) Epoch: [26][10420/11272] Time 0.885 (0.821) Data 0.002 (0.002) Loss 2.7990 (2.5990) Prec@1 31.875 (36.909) Prec@5 59.375 (67.621) Epoch: [26][10430/11272] Time 0.774 (0.821) Data 0.001 (0.002) Loss 2.7762 (2.5990) Prec@1 34.375 (36.909) Prec@5 66.250 (67.621) Epoch: [26][10440/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.4728 (2.5991) Prec@1 36.250 (36.908) Prec@5 71.250 (67.620) Epoch: [26][10450/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.5979 (2.5991) Prec@1 36.875 (36.909) Prec@5 71.875 (67.621) Epoch: [26][10460/11272] Time 0.926 (0.821) Data 0.002 (0.002) Loss 2.6301 (2.5991) Prec@1 35.000 (36.906) Prec@5 68.125 (67.620) Epoch: [26][10470/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 3.0100 (2.5991) Prec@1 28.750 (36.905) Prec@5 61.250 (67.619) Epoch: [26][10480/11272] Time 0.733 (0.821) Data 0.002 (0.002) Loss 2.3661 (2.5991) Prec@1 37.500 (36.907) Prec@5 75.625 (67.621) Epoch: [26][10490/11272] Time 0.865 (0.821) Data 0.001 (0.002) Loss 2.5420 (2.5991) Prec@1 33.750 (36.907) Prec@5 66.250 (67.620) Epoch: [26][10500/11272] Time 0.780 (0.821) Data 0.003 (0.002) Loss 2.6444 (2.5991) Prec@1 37.500 (36.906) Prec@5 68.125 (67.620) Epoch: [26][10510/11272] Time 0.811 (0.821) Data 0.001 (0.002) Loss 2.7897 (2.5991) Prec@1 35.625 (36.906) Prec@5 63.750 (67.620) Epoch: [26][10520/11272] Time 0.880 (0.821) Data 0.002 (0.002) Loss 2.3978 (2.5991) Prec@1 41.250 (36.907) Prec@5 71.875 (67.621) Epoch: [26][10530/11272] Time 0.839 (0.821) Data 0.002 (0.002) Loss 2.4817 (2.5991) Prec@1 38.750 (36.908) Prec@5 70.625 (67.622) Epoch: [26][10540/11272] Time 0.777 (0.821) Data 0.002 (0.002) Loss 2.5943 (2.5991) Prec@1 35.625 (36.909) Prec@5 65.625 (67.622) Epoch: [26][10550/11272] Time 0.758 (0.821) Data 0.001 (0.002) Loss 2.3109 (2.5990) Prec@1 41.250 (36.910) Prec@5 70.625 (67.623) Epoch: [26][10560/11272] Time 0.933 (0.821) Data 0.002 (0.002) Loss 2.5270 (2.5990) Prec@1 38.750 (36.911) Prec@5 68.750 (67.622) Epoch: [26][10570/11272] Time 0.853 (0.821) Data 0.001 (0.002) Loss 2.6216 (2.5991) Prec@1 35.000 (36.909) Prec@5 65.625 (67.620) Epoch: [26][10580/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.5188 (2.5990) Prec@1 32.500 (36.911) Prec@5 68.125 (67.620) Epoch: [26][10590/11272] Time 0.757 (0.821) Data 0.001 (0.002) Loss 2.6475 (2.5991) Prec@1 35.625 (36.909) Prec@5 66.250 (67.620) Epoch: [26][10600/11272] Time 0.905 (0.821) Data 0.002 (0.002) Loss 2.7985 (2.5991) Prec@1 38.125 (36.911) Prec@5 65.000 (67.620) Epoch: [26][10610/11272] Time 0.850 (0.821) Data 0.001 (0.002) Loss 2.7541 (2.5991) Prec@1 28.750 (36.909) Prec@5 64.375 (67.618) Epoch: [26][10620/11272] Time 0.801 (0.821) Data 0.002 (0.002) Loss 2.6366 (2.5991) Prec@1 38.750 (36.909) Prec@5 68.750 (67.618) Epoch: [26][10630/11272] Time 0.854 (0.821) Data 0.001 (0.002) Loss 2.4623 (2.5992) Prec@1 38.125 (36.909) Prec@5 70.000 (67.617) Epoch: [26][10640/11272] Time 0.896 (0.821) Data 0.002 (0.002) Loss 2.6732 (2.5991) Prec@1 35.625 (36.908) Prec@5 64.375 (67.618) Epoch: [26][10650/11272] Time 0.737 (0.821) Data 0.001 (0.002) Loss 2.4405 (2.5992) Prec@1 36.875 (36.907) Prec@5 70.625 (67.616) Epoch: [26][10660/11272] Time 0.740 (0.821) Data 0.002 (0.002) Loss 2.6831 (2.5992) Prec@1 38.750 (36.908) Prec@5 68.750 (67.616) Epoch: [26][10670/11272] Time 0.836 (0.821) Data 0.001 (0.002) Loss 2.3449 (2.5992) Prec@1 45.000 (36.908) Prec@5 74.375 (67.616) Epoch: [26][10680/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.4393 (2.5992) Prec@1 37.500 (36.908) Prec@5 71.250 (67.617) Epoch: [26][10690/11272] Time 0.776 (0.821) Data 0.001 (0.002) Loss 2.5810 (2.5992) Prec@1 37.500 (36.907) Prec@5 67.500 (67.616) Epoch: [26][10700/11272] Time 0.767 (0.821) Data 0.002 (0.002) Loss 2.5539 (2.5993) Prec@1 38.750 (36.907) Prec@5 72.500 (67.616) Epoch: [26][10710/11272] Time 0.886 (0.821) Data 0.001 (0.002) Loss 2.4346 (2.5993) Prec@1 45.625 (36.908) Prec@5 71.250 (67.616) Epoch: [26][10720/11272] Time 0.876 (0.821) Data 0.002 (0.002) Loss 2.7370 (2.5992) Prec@1 35.625 (36.910) Prec@5 66.250 (67.617) Epoch: [26][10730/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.4806 (2.5992) Prec@1 41.250 (36.911) Prec@5 72.500 (67.619) Epoch: [26][10740/11272] Time 0.764 (0.821) Data 0.003 (0.002) Loss 2.9684 (2.5992) Prec@1 30.000 (36.910) Prec@5 63.750 (67.618) Epoch: [26][10750/11272] Time 0.943 (0.821) Data 0.001 (0.002) Loss 2.6083 (2.5993) Prec@1 38.125 (36.908) Prec@5 68.750 (67.615) Epoch: [26][10760/11272] Time 0.901 (0.821) Data 0.002 (0.002) Loss 2.6529 (2.5993) Prec@1 36.250 (36.909) Prec@5 66.875 (67.617) Epoch: [26][10770/11272] Time 0.780 (0.821) Data 0.002 (0.002) Loss 2.2772 (2.5993) Prec@1 42.500 (36.908) Prec@5 76.250 (67.618) Epoch: [26][10780/11272] Time 0.878 (0.821) Data 0.001 (0.002) Loss 2.4893 (2.5993) Prec@1 41.250 (36.908) Prec@5 71.250 (67.618) Epoch: [26][10790/11272] Time 0.947 (0.821) Data 0.002 (0.002) Loss 2.5260 (2.5994) Prec@1 37.500 (36.906) Prec@5 71.250 (67.617) Epoch: [26][10800/11272] Time 0.747 (0.821) Data 0.001 (0.002) Loss 2.4174 (2.5993) Prec@1 43.125 (36.907) Prec@5 72.500 (67.618) Epoch: [26][10810/11272] Time 0.777 (0.821) Data 0.001 (0.002) Loss 2.5204 (2.5993) Prec@1 39.375 (36.908) Prec@5 68.750 (67.618) Epoch: [26][10820/11272] Time 0.819 (0.821) Data 0.002 (0.002) Loss 2.5766 (2.5994) Prec@1 35.625 (36.907) Prec@5 60.625 (67.617) Epoch: [26][10830/11272] Time 0.865 (0.821) Data 0.002 (0.002) Loss 2.4919 (2.5994) Prec@1 41.875 (36.907) Prec@5 68.750 (67.618) Epoch: [26][10840/11272] Time 0.815 (0.821) Data 0.002 (0.002) Loss 2.5628 (2.5993) Prec@1 36.250 (36.909) Prec@5 68.750 (67.619) Epoch: [26][10850/11272] Time 0.791 (0.821) Data 0.002 (0.002) Loss 2.6334 (2.5993) Prec@1 38.750 (36.907) Prec@5 67.500 (67.617) Epoch: [26][10860/11272] Time 0.860 (0.821) Data 0.001 (0.002) Loss 2.5383 (2.5993) Prec@1 40.000 (36.908) Prec@5 65.625 (67.618) Epoch: [26][10870/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.6859 (2.5993) Prec@1 38.125 (36.906) Prec@5 67.500 (67.616) Epoch: [26][10880/11272] Time 0.782 (0.821) Data 0.001 (0.002) Loss 2.7655 (2.5993) Prec@1 30.625 (36.906) Prec@5 62.500 (67.617) Epoch: [26][10890/11272] Time 0.782 (0.821) Data 0.002 (0.002) Loss 2.7227 (2.5993) Prec@1 32.500 (36.905) Prec@5 64.375 (67.617) Epoch: [26][10900/11272] Time 0.912 (0.821) Data 0.001 (0.002) Loss 2.6911 (2.5993) Prec@1 30.625 (36.906) Prec@5 65.000 (67.619) Epoch: [26][10910/11272] Time 0.779 (0.821) Data 0.002 (0.002) Loss 2.6210 (2.5993) Prec@1 39.375 (36.906) Prec@5 70.000 (67.618) Epoch: [26][10920/11272] Time 0.728 (0.821) Data 0.001 (0.002) Loss 2.5338 (2.5992) Prec@1 35.625 (36.906) Prec@5 68.125 (67.619) Epoch: [26][10930/11272] Time 0.938 (0.821) Data 0.002 (0.002) Loss 2.3252 (2.5993) Prec@1 41.250 (36.904) Prec@5 75.625 (67.618) Epoch: [26][10940/11272] Time 0.892 (0.821) Data 0.002 (0.002) Loss 2.6022 (2.5993) Prec@1 34.375 (36.903) Prec@5 65.000 (67.617) Epoch: [26][10950/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.5270 (2.5992) Prec@1 38.125 (36.904) Prec@5 70.000 (67.619) Epoch: [26][10960/11272] Time 0.803 (0.821) Data 0.002 (0.002) Loss 2.6462 (2.5993) Prec@1 33.125 (36.904) Prec@5 69.375 (67.617) Epoch: [26][10970/11272] Time 0.886 (0.821) Data 0.002 (0.002) Loss 2.4834 (2.5993) Prec@1 33.750 (36.904) Prec@5 71.250 (67.618) Epoch: [26][10980/11272] Time 0.897 (0.821) Data 0.002 (0.002) Loss 2.4102 (2.5993) Prec@1 41.875 (36.904) Prec@5 75.000 (67.618) Epoch: [26][10990/11272] Time 0.795 (0.821) Data 0.001 (0.002) Loss 3.0604 (2.5993) Prec@1 31.250 (36.904) Prec@5 58.125 (67.617) Epoch: [26][11000/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.4858 (2.5993) Prec@1 38.750 (36.904) Prec@5 68.125 (67.619) Epoch: [26][11010/11272] Time 0.851 (0.821) Data 0.001 (0.002) Loss 2.4822 (2.5993) Prec@1 41.875 (36.905) Prec@5 70.625 (67.618) Epoch: [26][11020/11272] Time 0.925 (0.821) Data 0.003 (0.002) Loss 2.4126 (2.5993) Prec@1 46.875 (36.904) Prec@5 69.375 (67.617) Epoch: [26][11030/11272] Time 0.781 (0.821) Data 0.002 (0.002) Loss 2.6144 (2.5993) Prec@1 33.750 (36.902) Prec@5 70.000 (67.616) Epoch: [26][11040/11272] Time 0.898 (0.821) Data 0.001 (0.002) Loss 2.9304 (2.5994) Prec@1 26.875 (36.903) Prec@5 63.125 (67.615) Epoch: [26][11050/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.5403 (2.5995) Prec@1 40.625 (36.901) Prec@5 70.625 (67.614) Epoch: [26][11060/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.6360 (2.5995) Prec@1 41.250 (36.902) Prec@5 66.875 (67.614) Epoch: [26][11070/11272] Time 0.736 (0.821) Data 0.001 (0.002) Loss 2.5913 (2.5994) Prec@1 37.500 (36.902) Prec@5 66.875 (67.614) Epoch: [26][11080/11272] Time 0.938 (0.821) Data 0.001 (0.002) Loss 2.7206 (2.5995) Prec@1 39.375 (36.903) Prec@5 60.625 (67.613) Epoch: [26][11090/11272] Time 0.908 (0.821) Data 0.001 (0.002) Loss 2.5193 (2.5995) Prec@1 38.750 (36.903) Prec@5 70.000 (67.613) Epoch: [26][11100/11272] Time 0.741 (0.821) Data 0.001 (0.002) Loss 2.4827 (2.5995) Prec@1 41.875 (36.903) Prec@5 68.125 (67.613) Epoch: [26][11110/11272] Time 0.775 (0.821) Data 0.001 (0.002) Loss 2.5220 (2.5995) Prec@1 36.875 (36.902) Prec@5 71.250 (67.613) Epoch: [26][11120/11272] Time 0.930 (0.821) Data 0.002 (0.002) Loss 2.6030 (2.5995) Prec@1 39.375 (36.904) Prec@5 65.625 (67.612) Epoch: [26][11130/11272] Time 0.876 (0.821) Data 0.001 (0.002) Loss 2.5089 (2.5995) Prec@1 35.000 (36.905) Prec@5 69.375 (67.612) Epoch: [26][11140/11272] Time 0.738 (0.821) Data 0.002 (0.002) Loss 2.5793 (2.5994) Prec@1 33.125 (36.906) Prec@5 68.750 (67.613) Epoch: [26][11150/11272] Time 0.818 (0.821) Data 0.001 (0.002) Loss 2.6135 (2.5994) Prec@1 36.250 (36.906) Prec@5 66.875 (67.615) Epoch: [26][11160/11272] Time 0.883 (0.821) Data 0.002 (0.002) Loss 2.5581 (2.5993) Prec@1 39.375 (36.907) Prec@5 65.625 (67.614) Epoch: [26][11170/11272] Time 0.745 (0.821) Data 0.003 (0.002) Loss 2.4951 (2.5993) Prec@1 41.250 (36.908) Prec@5 70.625 (67.616) Epoch: [26][11180/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.5812 (2.5993) Prec@1 41.250 (36.908) Prec@5 68.125 (67.617) Epoch: [26][11190/11272] Time 0.916 (0.821) Data 0.001 (0.002) Loss 2.3702 (2.5993) Prec@1 40.625 (36.907) Prec@5 70.625 (67.616) Epoch: [26][11200/11272] Time 0.864 (0.821) Data 0.002 (0.002) Loss 2.6199 (2.5993) Prec@1 39.375 (36.908) Prec@5 67.500 (67.616) Epoch: [26][11210/11272] Time 0.755 (0.821) Data 0.001 (0.002) Loss 2.5239 (2.5994) Prec@1 36.875 (36.905) Prec@5 71.875 (67.616) Epoch: [26][11220/11272] Time 0.754 (0.821) Data 0.002 (0.002) Loss 2.7262 (2.5995) Prec@1 33.125 (36.904) Prec@5 64.375 (67.613) Epoch: [26][11230/11272] Time 0.873 (0.821) Data 0.002 (0.002) Loss 2.7399 (2.5995) Prec@1 31.875 (36.902) Prec@5 64.375 (67.613) Epoch: [26][11240/11272] Time 0.880 (0.821) Data 0.002 (0.002) Loss 2.7724 (2.5995) Prec@1 31.875 (36.900) Prec@5 63.750 (67.612) Epoch: [26][11250/11272] Time 0.759 (0.821) Data 0.002 (0.002) Loss 2.7280 (2.5995) Prec@1 36.250 (36.901) Prec@5 68.125 (67.613) Epoch: [26][11260/11272] Time 0.773 (0.821) Data 0.002 (0.002) Loss 2.6697 (2.5996) Prec@1 38.125 (36.900) Prec@5 71.875 (67.612) Epoch: [26][11270/11272] Time 0.803 (0.821) Data 0.000 (0.002) Loss 2.4277 (2.5995) Prec@1 38.750 (36.902) Prec@5 75.625 (67.613) Test: [0/229] Time 1.631 (1.631) Loss 1.2569 (1.2569) Prec@1 67.500 (67.500) Prec@5 92.500 (92.500) Test: [10/229] Time 0.355 (0.500) Loss 1.4017 (2.0891) Prec@1 55.625 (47.273) Prec@5 94.375 (79.091) Test: [20/229] Time 0.463 (0.448) Loss 2.8251 (2.1610) Prec@1 32.500 (44.911) Prec@5 68.750 (77.232) Test: [30/229] Time 0.336 (0.428) Loss 2.5796 (2.0441) Prec@1 31.875 (47.641) Prec@5 70.625 (79.234) Test: [40/229] Time 0.317 (0.417) Loss 0.9115 (2.0614) Prec@1 81.875 (47.546) Prec@5 88.125 (78.841) Test: [50/229] Time 0.428 (0.412) Loss 2.8640 (2.1305) Prec@1 23.750 (46.593) Prec@5 68.750 (77.194) Test: [60/229] Time 0.375 (0.409) Loss 2.7659 (2.1807) Prec@1 23.750 (44.980) Prec@5 68.750 (76.363) Test: [70/229] Time 0.418 (0.406) Loss 2.2309 (2.2041) Prec@1 46.250 (44.190) Prec@5 76.250 (76.004) Test: [80/229] Time 0.371 (0.402) Loss 2.7060 (2.2219) Prec@1 25.625 (43.225) Prec@5 68.125 (75.988) Test: [90/229] Time 0.429 (0.399) Loss 2.0991 (2.2194) Prec@1 54.375 (43.290) Prec@5 77.500 (76.051) Test: [100/229] Time 0.479 (0.398) Loss 2.3087 (2.2079) Prec@1 39.375 (43.577) Prec@5 81.250 (76.324) Test: [110/229] Time 0.326 (0.396) Loss 1.7874 (2.1822) Prec@1 50.000 (44.178) Prec@5 85.000 (76.768) Test: [120/229] Time 0.411 (0.396) Loss 3.4401 (2.2175) Prec@1 19.375 (43.290) Prec@5 58.125 (76.245) Test: [130/229] Time 0.320 (0.394) Loss 1.9588 (2.2032) Prec@1 45.000 (43.607) Prec@5 80.625 (76.441) Test: [140/229] Time 0.381 (0.394) Loss 2.5881 (2.2329) Prec@1 33.750 (42.926) Prec@5 66.875 (75.824) Test: [150/229] Time 0.330 (0.394) Loss 1.8592 (2.2494) Prec@1 55.625 (42.695) Prec@5 78.125 (75.571) Test: [160/229] Time 0.329 (0.394) Loss 2.5027 (2.2544) Prec@1 43.750 (42.694) Prec@5 76.875 (75.443) Test: [170/229] Time 0.446 (0.394) Loss 2.9126 (2.2761) Prec@1 27.500 (42.113) Prec@5 63.750 (75.040) Test: [180/229] Time 0.356 (0.394) Loss 3.1026 (2.2788) Prec@1 15.625 (42.141) Prec@5 58.125 (74.893) Test: [190/229] Time 0.441 (0.394) Loss 1.9732 (2.2668) Prec@1 42.500 (42.333) Prec@5 88.750 (75.095) Test: [200/229] Time 0.354 (0.393) Loss 2.1538 (2.2530) Prec@1 44.375 (42.531) Prec@5 71.250 (75.404) Test: [210/229] Time 0.463 (0.393) Loss 1.7695 (2.2402) Prec@1 42.500 (42.850) Prec@5 90.000 (75.749) Test: [220/229] Time 0.396 (0.392) Loss 2.8153 (2.2305) Prec@1 31.875 (43.184) Prec@5 63.125 (75.837) * Prec@1 43.410 Prec@5 75.919 Epoch: [27][0/11272] Time 3.105 (3.105) Data 2.107 (2.107) Loss 2.6867 (2.6867) Prec@1 35.000 (35.000) Prec@5 64.375 (64.375) Epoch: [27][10/11272] Time 0.873 (1.034) Data 0.002 (0.193) Loss 2.5527 (2.6142) Prec@1 33.750 (36.989) Prec@5 71.250 (67.159) Epoch: [27][20/11272] Time 0.751 (0.945) Data 0.002 (0.102) Loss 2.4365 (2.6139) Prec@1 35.625 (36.786) Prec@5 71.875 (67.857) Epoch: [27][30/11272] Time 0.800 (0.910) Data 0.002 (0.070) Loss 2.5056 (2.6158) Prec@1 41.875 (36.673) Prec@5 66.250 (67.843) Epoch: [27][40/11272] Time 0.801 (0.886) Data 0.001 (0.053) Loss 2.4318 (2.6022) Prec@1 41.875 (37.058) Prec@5 76.250 (68.110) Epoch: [27][50/11272] Time 0.903 (0.877) Data 0.002 (0.043) Loss 2.4701 (2.6047) Prec@1 36.250 (36.949) Prec@5 71.875 (68.039) Epoch: [27][60/11272] Time 0.741 (0.863) Data 0.001 (0.036) Loss 2.7500 (2.6098) Prec@1 32.500 (36.814) Prec@5 61.875 (67.674) Epoch: [27][70/11272] Time 0.751 (0.857) Data 0.002 (0.031) Loss 2.4151 (2.6001) Prec@1 36.875 (36.901) Prec@5 70.000 (67.729) Epoch: [27][80/11272] Time 0.879 (0.855) Data 0.001 (0.028) Loss 2.5292 (2.5920) Prec@1 36.250 (37.052) Prec@5 68.750 (67.955) Epoch: [27][90/11272] Time 0.878 (0.852) Data 0.001 (0.025) Loss 2.3834 (2.5844) Prec@1 43.750 (37.081) Prec@5 74.375 (68.056) Epoch: [27][100/11272] Time 0.744 (0.848) Data 0.002 (0.023) Loss 2.4460 (2.5841) Prec@1 41.875 (37.153) Prec@5 71.250 (68.014) Epoch: [27][110/11272] Time 0.912 (0.847) Data 0.001 (0.021) Loss 2.4469 (2.5799) Prec@1 38.125 (37.157) Prec@5 70.000 (68.181) Epoch: [27][120/11272] Time 0.882 (0.845) Data 0.001 (0.019) Loss 2.9235 (2.5929) Prec@1 33.125 (36.896) Prec@5 62.500 (67.924) Epoch: [27][130/11272] Time 0.786 (0.844) Data 0.002 (0.018) Loss 2.5728 (2.5916) Prec@1 40.000 (36.913) Prec@5 70.000 (67.920) Epoch: [27][140/11272] Time 0.747 (0.842) Data 0.001 (0.017) Loss 2.1954 (2.5843) Prec@1 46.250 (36.981) Prec@5 73.125 (68.098) Epoch: [27][150/11272] Time 0.863 (0.841) Data 0.002 (0.016) Loss 2.7287 (2.5848) Prec@1 37.500 (36.991) Prec@5 65.000 (67.997) Epoch: [27][160/11272] Time 0.882 (0.840) Data 0.002 (0.015) Loss 2.7364 (2.5841) Prec@1 33.125 (36.941) Prec@5 62.500 (68.020) Epoch: [27][170/11272] Time 0.773 (0.839) Data 0.002 (0.014) Loss 2.2809 (2.5825) Prec@1 42.500 (36.974) Prec@5 73.125 (68.001) Epoch: [27][180/11272] Time 0.757 (0.838) Data 0.003 (0.013) Loss 2.5808 (2.5819) Prec@1 33.125 (36.996) Prec@5 70.625 (67.997) Epoch: [27][190/11272] Time 0.860 (0.838) Data 0.002 (0.013) Loss 2.4347 (2.5845) Prec@1 40.625 (36.963) Prec@5 72.500 (68.007) Epoch: [27][200/11272] Time 0.906 (0.837) Data 0.002 (0.012) Loss 2.7022 (2.5854) Prec@1 35.625 (37.052) Prec@5 63.750 (67.895) Epoch: [27][210/11272] Time 0.750 (0.837) Data 0.003 (0.012) Loss 2.6967 (2.5886) Prec@1 36.875 (36.979) Prec@5 66.250 (67.817) Epoch: [27][220/11272] Time 0.730 (0.836) Data 0.001 (0.011) Loss 2.7505 (2.5921) Prec@1 35.625 (36.934) Prec@5 65.000 (67.777) Epoch: [27][230/11272] Time 0.902 (0.835) Data 0.002 (0.011) Loss 2.3400 (2.5914) Prec@1 42.500 (36.956) Prec@5 76.875 (67.808) Epoch: [27][240/11272] Time 0.761 (0.834) Data 0.004 (0.011) Loss 2.6127 (2.5891) Prec@1 37.500 (37.005) Prec@5 67.500 (67.811) Epoch: [27][250/11272] Time 0.721 (0.834) Data 0.002 (0.010) Loss 2.6469 (2.5905) Prec@1 36.250 (37.022) Prec@5 65.000 (67.749) Epoch: [27][260/11272] Time 0.890 (0.834) Data 0.002 (0.010) Loss 2.5362 (2.5882) Prec@1 43.125 (37.047) Prec@5 68.750 (67.811) Epoch: [27][270/11272] Time 0.953 (0.833) Data 0.002 (0.010) Loss 2.5611 (2.5878) Prec@1 31.250 (37.009) Prec@5 66.250 (67.830) Epoch: [27][280/11272] Time 0.774 (0.833) Data 0.002 (0.009) Loss 2.5100 (2.5862) Prec@1 42.500 (37.051) Prec@5 63.750 (67.865) Epoch: [27][290/11272] Time 0.753 (0.833) Data 0.002 (0.009) Loss 2.6543 (2.5844) Prec@1 36.875 (37.070) Prec@5 65.625 (67.927) Epoch: [27][300/11272] Time 0.909 (0.833) Data 0.002 (0.009) Loss 2.6460 (2.5877) Prec@1 40.625 (37.006) Prec@5 67.500 (67.868) Epoch: [27][310/11272] Time 0.882 (0.833) Data 0.002 (0.009) Loss 2.8520 (2.5887) Prec@1 31.875 (37.012) Prec@5 65.000 (67.842) Epoch: [27][320/11272] Time 0.742 (0.832) Data 0.002 (0.008) Loss 2.6513 (2.5884) Prec@1 36.250 (37.005) Prec@5 65.625 (67.837) Epoch: [27][330/11272] Time 0.786 (0.832) Data 0.002 (0.008) Loss 2.6865 (2.5880) Prec@1 33.750 (36.998) Prec@5 65.625 (67.864) Epoch: [27][340/11272] Time 0.885 (0.832) Data 0.002 (0.008) Loss 2.4878 (2.5858) Prec@1 40.000 (37.066) Prec@5 69.375 (67.890) Epoch: [27][350/11272] Time 0.893 (0.832) Data 0.002 (0.008) Loss 2.7933 (2.5847) Prec@1 31.250 (37.115) Prec@5 61.875 (67.886) Epoch: [27][360/11272] Time 0.752 (0.832) Data 0.002 (0.008) Loss 2.9201 (2.5849) Prec@1 33.125 (37.107) Prec@5 59.375 (67.881) Epoch: [27][370/11272] Time 0.877 (0.833) Data 0.002 (0.007) Loss 2.7129 (2.5836) Prec@1 34.375 (37.096) Prec@5 63.750 (67.943) Epoch: [27][380/11272] Time 0.885 (0.833) Data 0.002 (0.007) Loss 2.4308 (2.5818) Prec@1 41.250 (37.151) Prec@5 75.625 (67.989) Epoch: [27][390/11272] Time 0.737 (0.832) Data 0.001 (0.007) Loss 2.6468 (2.5817) Prec@1 35.625 (37.166) Prec@5 67.500 (67.970) Epoch: [27][400/11272] Time 0.782 (0.832) Data 0.002 (0.007) Loss 2.6345 (2.5823) Prec@1 36.250 (37.138) Prec@5 65.000 (67.930) Epoch: [27][410/11272] Time 0.884 (0.831) Data 0.002 (0.007) Loss 2.6553 (2.5828) Prec@1 38.125 (37.137) Prec@5 64.375 (67.932) Epoch: [27][420/11272] Time 0.919 (0.831) Data 0.002 (0.007) Loss 2.6151 (2.5831) Prec@1 35.000 (37.115) Prec@5 65.625 (67.935) Epoch: [27][430/11272] Time 0.734 (0.831) Data 0.001 (0.007) Loss 2.7395 (2.5818) Prec@1 32.500 (37.107) Prec@5 61.875 (67.952) Epoch: [27][440/11272] Time 0.737 (0.831) Data 0.001 (0.007) Loss 2.5756 (2.5794) Prec@1 35.625 (37.180) Prec@5 66.250 (67.978) Epoch: [27][450/11272] Time 0.865 (0.831) Data 0.002 (0.006) Loss 2.4212 (2.5801) Prec@1 44.375 (37.176) Prec@5 73.750 (67.943) Epoch: [27][460/11272] Time 0.893 (0.831) Data 0.001 (0.006) Loss 2.5299 (2.5814) Prec@1 38.750 (37.154) Prec@5 65.000 (67.922) Epoch: [27][470/11272] Time 0.718 (0.831) Data 0.002 (0.006) Loss 2.5937 (2.5818) Prec@1 36.875 (37.139) Prec@5 65.000 (67.885) Epoch: [27][480/11272] Time 0.781 (0.831) Data 0.001 (0.006) Loss 2.5741 (2.5814) Prec@1 39.375 (37.162) Prec@5 70.000 (67.913) Epoch: [27][490/11272] Time 0.880 (0.831) Data 0.002 (0.006) Loss 2.4391 (2.5808) Prec@1 44.375 (37.195) Prec@5 70.625 (67.932) Epoch: [27][500/11272] Time 0.722 (0.831) Data 0.003 (0.006) Loss 2.6437 (2.5807) Prec@1 36.250 (37.191) Prec@5 65.625 (67.920) Epoch: [27][510/11272] Time 0.767 (0.830) Data 0.002 (0.006) Loss 2.4644 (2.5806) Prec@1 41.250 (37.194) Prec@5 71.250 (67.924) Epoch: [27][520/11272] Time 0.879 (0.830) Data 0.001 (0.006) Loss 2.5302 (2.5797) Prec@1 41.875 (37.223) Prec@5 68.750 (67.944) Epoch: [27][530/11272] Time 0.887 (0.830) Data 0.002 (0.006) Loss 2.3134 (2.5782) Prec@1 41.875 (37.262) Prec@5 71.875 (67.985) Epoch: [27][540/11272] Time 0.726 (0.830) Data 0.001 (0.006) Loss 2.6212 (2.5783) Prec@1 34.375 (37.241) Prec@5 68.125 (67.989) Epoch: [27][550/11272] Time 0.756 (0.830) Data 0.002 (0.006) Loss 2.8805 (2.5786) Prec@1 27.500 (37.238) Prec@5 62.500 (67.970) Epoch: [27][560/11272] Time 0.861 (0.830) Data 0.001 (0.006) Loss 2.4484 (2.5792) Prec@1 37.500 (37.249) Prec@5 68.125 (67.947) Epoch: [27][570/11272] Time 0.850 (0.830) Data 0.002 (0.005) Loss 2.8281 (2.5790) Prec@1 33.125 (37.241) Prec@5 58.750 (67.959) Epoch: [27][580/11272] Time 0.808 (0.830) Data 0.002 (0.005) Loss 2.7950 (2.5809) Prec@1 34.375 (37.202) Prec@5 60.000 (67.913) Epoch: [27][590/11272] Time 0.757 (0.829) Data 0.001 (0.005) Loss 2.6916 (2.5809) Prec@1 34.375 (37.210) Prec@5 66.250 (67.920) Epoch: [27][600/11272] Time 0.915 (0.829) Data 0.002 (0.005) Loss 2.9620 (2.5823) Prec@1 28.750 (37.199) Prec@5 58.125 (67.880) Epoch: [27][610/11272] Time 0.863 (0.829) Data 0.001 (0.005) Loss 2.4616 (2.5828) Prec@1 39.375 (37.156) Prec@5 68.125 (67.880) Epoch: [27][620/11272] Time 0.728 (0.829) Data 0.002 (0.005) Loss 2.4271 (2.5839) Prec@1 39.375 (37.116) Prec@5 66.250 (67.841) Epoch: [27][630/11272] Time 0.916 (0.829) Data 0.002 (0.005) Loss 2.4839 (2.5834) Prec@1 38.750 (37.111) Prec@5 71.250 (67.867) Epoch: [27][640/11272] Time 0.949 (0.829) Data 0.001 (0.005) Loss 2.5585 (2.5828) Prec@1 36.875 (37.131) Prec@5 71.250 (67.882) Epoch: [27][650/11272] Time 0.746 (0.829) Data 0.001 (0.005) Loss 2.5820 (2.5819) Prec@1 38.750 (37.172) Prec@5 65.625 (67.894) Epoch: [27][660/11272] Time 0.735 (0.829) Data 0.002 (0.005) Loss 2.8652 (2.5827) Prec@1 31.875 (37.142) Prec@5 62.500 (67.893) Epoch: [27][670/11272] Time 0.852 (0.829) Data 0.001 (0.005) Loss 2.4220 (2.5816) Prec@1 40.625 (37.159) Prec@5 70.000 (67.919) Epoch: [27][680/11272] Time 0.864 (0.829) Data 0.002 (0.005) Loss 2.5812 (2.5814) Prec@1 30.625 (37.155) Prec@5 70.000 (67.939) Epoch: [27][690/11272] Time 0.720 (0.828) Data 0.002 (0.005) Loss 2.5332 (2.5810) Prec@1 38.125 (37.178) Prec@5 69.375 (67.973) Epoch: [27][700/11272] Time 0.716 (0.828) Data 0.001 (0.005) Loss 2.4982 (2.5811) Prec@1 39.375 (37.180) Prec@5 68.750 (67.961) Epoch: [27][710/11272] Time 0.929 (0.828) Data 0.002 (0.005) Loss 2.6277 (2.5820) Prec@1 36.250 (37.162) Prec@5 68.750 (67.936) Epoch: [27][720/11272] Time 0.852 (0.828) Data 0.001 (0.005) Loss 2.6192 (2.5832) Prec@1 35.625 (37.137) Prec@5 69.375 (67.923) Epoch: [27][730/11272] Time 0.802 (0.828) Data 0.002 (0.005) Loss 2.4911 (2.5835) Prec@1 39.375 (37.131) Prec@5 73.750 (67.915) Epoch: [27][740/11272] Time 0.738 (0.828) Data 0.002 (0.005) Loss 2.4224 (2.5834) Prec@1 35.625 (37.117) Prec@5 69.375 (67.936) Epoch: [27][750/11272] Time 0.839 (0.828) Data 0.001 (0.005) Loss 2.5716 (2.5839) Prec@1 33.125 (37.099) Prec@5 65.000 (67.949) Epoch: [27][760/11272] Time 0.898 (0.828) Data 0.002 (0.005) Loss 2.9535 (2.5842) Prec@1 29.375 (37.111) Prec@5 64.375 (67.949) Epoch: [27][770/11272] Time 0.731 (0.828) Data 0.002 (0.004) Loss 2.7132 (2.5843) Prec@1 38.750 (37.118) Prec@5 67.500 (67.946) Epoch: [27][780/11272] Time 0.856 (0.828) Data 0.001 (0.004) Loss 2.5701 (2.5830) Prec@1 39.375 (37.146) Prec@5 63.750 (67.969) Epoch: [27][790/11272] Time 0.915 (0.828) Data 0.006 (0.004) Loss 2.2884 (2.5832) Prec@1 38.750 (37.131) Prec@5 70.625 (67.953) Epoch: [27][800/11272] Time 0.780 (0.827) Data 0.001 (0.004) Loss 2.5257 (2.5831) Prec@1 40.625 (37.151) Prec@5 65.625 (67.945) Epoch: [27][810/11272] Time 0.765 (0.828) Data 0.002 (0.004) Loss 2.6763 (2.5835) Prec@1 33.750 (37.154) Prec@5 60.000 (67.918) Epoch: [27][820/11272] Time 0.989 (0.828) Data 0.001 (0.004) Loss 2.7419 (2.5835) Prec@1 43.125 (37.162) Prec@5 66.250 (67.919) Epoch: [27][830/11272] Time 0.926 (0.828) Data 0.002 (0.004) Loss 2.4009 (2.5831) Prec@1 40.000 (37.173) Prec@5 71.875 (67.916) Epoch: [27][840/11272] Time 0.751 (0.828) Data 0.002 (0.004) Loss 2.3427 (2.5829) Prec@1 43.750 (37.198) Prec@5 75.000 (67.924) Epoch: [27][850/11272] Time 0.811 (0.828) Data 0.003 (0.004) Loss 2.5352 (2.5830) Prec@1 34.375 (37.200) Prec@5 72.500 (67.921) Epoch: [27][860/11272] Time 0.865 (0.828) Data 0.002 (0.004) Loss 2.5535 (2.5831) Prec@1 35.000 (37.205) Prec@5 69.375 (67.920) Epoch: [27][870/11272] Time 0.846 (0.828) Data 0.002 (0.004) Loss 2.3619 (2.5833) Prec@1 41.875 (37.209) Prec@5 72.500 (67.921) Epoch: [27][880/11272] Time 0.800 (0.828) Data 0.002 (0.004) Loss 2.5635 (2.5824) Prec@1 40.000 (37.219) Prec@5 65.625 (67.941) Epoch: [27][890/11272] Time 0.802 (0.828) Data 0.002 (0.004) Loss 2.5896 (2.5825) Prec@1 40.000 (37.239) Prec@5 71.250 (67.946) Epoch: [27][900/11272] Time 0.996 (0.828) Data 0.002 (0.004) Loss 2.7385 (2.5830) Prec@1 35.625 (37.230) Prec@5 63.750 (67.940) Epoch: [27][910/11272] Time 0.811 (0.828) Data 0.001 (0.004) Loss 2.6529 (2.5833) Prec@1 35.000 (37.234) Prec@5 65.000 (67.925) Epoch: [27][920/11272] Time 0.730 (0.828) Data 0.001 (0.004) Loss 2.5642 (2.5835) Prec@1 39.375 (37.224) Prec@5 65.000 (67.921) Epoch: [27][930/11272] Time 0.878 (0.828) Data 0.002 (0.004) Loss 2.6051 (2.5833) Prec@1 31.250 (37.237) Prec@5 66.875 (67.931) Epoch: [27][940/11272] Time 0.929 (0.829) Data 0.002 (0.004) Loss 2.2227 (2.5819) Prec@1 43.125 (37.265) Prec@5 75.625 (67.964) Epoch: [27][950/11272] Time 0.746 (0.829) Data 0.001 (0.004) Loss 2.1753 (2.5817) Prec@1 43.750 (37.276) Prec@5 73.125 (67.963) Epoch: [27][960/11272] Time 0.728 (0.829) Data 0.001 (0.004) Loss 2.5616 (2.5813) Prec@1 33.750 (37.283) Prec@5 66.250 (67.966) Epoch: [27][970/11272] Time 0.877 (0.828) Data 0.002 (0.004) Loss 2.5490 (2.5811) Prec@1 38.125 (37.300) Prec@5 68.125 (67.974) Epoch: [27][980/11272] Time 0.887 (0.828) Data 0.002 (0.004) Loss 2.6931 (2.5815) Prec@1 32.500 (37.291) Prec@5 65.000 (67.967) Epoch: [27][990/11272] Time 0.760 (0.828) Data 0.002 (0.004) Loss 2.6152 (2.5819) Prec@1 35.000 (37.272) Prec@5 69.375 (67.957) Epoch: [27][1000/11272] Time 0.744 (0.828) Data 0.002 (0.004) Loss 2.6097 (2.5818) Prec@1 35.000 (37.272) Prec@5 68.750 (67.956) Epoch: [27][1010/11272] Time 0.903 (0.828) Data 0.002 (0.004) Loss 2.7089 (2.5813) Prec@1 32.500 (37.278) Prec@5 63.125 (67.964) Epoch: [27][1020/11272] Time 0.836 (0.828) Data 0.002 (0.004) Loss 2.8271 (2.5819) Prec@1 29.375 (37.270) Prec@5 61.875 (67.948) Epoch: [27][1030/11272] Time 0.754 (0.828) Data 0.002 (0.004) Loss 2.6176 (2.5822) Prec@1 35.000 (37.252) Prec@5 65.625 (67.946) Epoch: [27][1040/11272] Time 0.879 (0.828) Data 0.001 (0.004) Loss 2.7118 (2.5828) Prec@1 35.000 (37.248) Prec@5 65.625 (67.936) Epoch: [27][1050/11272] Time 0.877 (0.828) Data 0.002 (0.004) Loss 2.4719 (2.5825) Prec@1 38.750 (37.245) Prec@5 71.875 (67.933) Epoch: [27][1060/11272] Time 0.744 (0.828) Data 0.002 (0.004) Loss 2.7246 (2.5828) Prec@1 31.875 (37.242) Prec@5 69.375 (67.929) Epoch: [27][1070/11272] Time 0.737 (0.828) Data 0.002 (0.004) Loss 2.6412 (2.5825) Prec@1 36.875 (37.250) Prec@5 67.500 (67.929) Epoch: [27][1080/11272] Time 0.872 (0.828) Data 0.002 (0.004) Loss 2.3251 (2.5816) Prec@1 40.000 (37.263) Prec@5 74.375 (67.957) Epoch: [27][1090/11272] Time 0.903 (0.828) Data 0.002 (0.004) Loss 2.4246 (2.5821) Prec@1 35.625 (37.238) Prec@5 73.125 (67.939) Epoch: [27][1100/11272] Time 0.814 (0.828) Data 0.002 (0.004) Loss 2.4455 (2.5816) Prec@1 39.375 (37.241) Prec@5 65.000 (67.943) Epoch: [27][1110/11272] Time 0.751 (0.828) Data 0.002 (0.004) Loss 2.6090 (2.5821) Prec@1 41.875 (37.241) Prec@5 68.125 (67.938) Epoch: [27][1120/11272] Time 0.892 (0.828) Data 0.002 (0.004) Loss 2.6268 (2.5826) Prec@1 38.750 (37.235) Prec@5 68.125 (67.932) Epoch: [27][1130/11272] Time 0.891 (0.828) Data 0.002 (0.004) Loss 2.4484 (2.5821) Prec@1 41.875 (37.246) Prec@5 68.750 (67.942) Epoch: [27][1140/11272] Time 0.750 (0.827) Data 0.002 (0.004) Loss 2.6796 (2.5823) Prec@1 31.875 (37.246) Prec@5 68.125 (67.941) Epoch: [27][1150/11272] Time 0.767 (0.827) Data 0.002 (0.004) Loss 2.5986 (2.5823) Prec@1 35.625 (37.243) Prec@5 63.750 (67.934) Epoch: [27][1160/11272] Time 0.882 (0.827) Data 0.002 (0.004) Loss 2.6750 (2.5821) Prec@1 31.875 (37.250) Prec@5 66.875 (67.927) Epoch: [27][1170/11272] Time 0.755 (0.827) Data 0.003 (0.004) Loss 2.5104 (2.5817) Prec@1 38.125 (37.253) Prec@5 68.750 (67.932) Epoch: [27][1180/11272] Time 0.722 (0.827) Data 0.001 (0.004) Loss 2.8503 (2.5817) Prec@1 31.875 (37.262) Prec@5 68.125 (67.943) Epoch: [27][1190/11272] Time 0.865 (0.827) Data 0.002 (0.004) Loss 2.6499 (2.5821) Prec@1 30.000 (37.244) Prec@5 68.125 (67.942) Epoch: [27][1200/11272] Time 0.893 (0.827) Data 0.002 (0.004) Loss 2.4748 (2.5819) Prec@1 33.125 (37.241) Prec@5 72.500 (67.952) Epoch: [27][1210/11272] Time 0.784 (0.827) Data 0.002 (0.004) Loss 2.6207 (2.5823) Prec@1 38.750 (37.235) Prec@5 69.375 (67.940) Epoch: [27][1220/11272] Time 0.780 (0.827) Data 0.001 (0.003) Loss 2.8397 (2.5824) Prec@1 33.125 (37.246) Prec@5 63.125 (67.935) Epoch: [27][1230/11272] Time 0.868 (0.827) Data 0.002 (0.003) Loss 2.6457 (2.5827) Prec@1 33.125 (37.244) Prec@5 66.875 (67.924) Epoch: [27][1240/11272] Time 0.848 (0.827) Data 0.001 (0.003) Loss 2.7950 (2.5834) Prec@1 33.125 (37.239) Prec@5 66.875 (67.916) Epoch: [27][1250/11272] Time 0.814 (0.827) Data 0.002 (0.003) Loss 2.5749 (2.5828) Prec@1 41.250 (37.251) Prec@5 66.250 (67.933) Epoch: [27][1260/11272] Time 0.731 (0.827) Data 0.002 (0.003) Loss 2.4937 (2.5826) Prec@1 35.000 (37.250) Prec@5 70.000 (67.938) Epoch: [27][1270/11272] Time 0.909 (0.827) Data 0.002 (0.003) Loss 2.6549 (2.5829) Prec@1 36.250 (37.255) Prec@5 63.750 (67.935) Epoch: [27][1280/11272] Time 0.921 (0.827) Data 0.002 (0.003) Loss 2.6084 (2.5827) Prec@1 35.625 (37.258) Prec@5 68.125 (67.935) Epoch: [27][1290/11272] Time 0.791 (0.827) Data 0.002 (0.003) Loss 2.7135 (2.5829) Prec@1 33.750 (37.253) Prec@5 65.625 (67.936) Epoch: [27][1300/11272] Time 0.833 (0.827) Data 0.001 (0.003) Loss 2.6828 (2.5831) Prec@1 31.250 (37.235) Prec@5 70.625 (67.936) Epoch: [27][1310/11272] Time 0.876 (0.827) Data 0.002 (0.003) Loss 2.4496 (2.5838) Prec@1 44.375 (37.222) Prec@5 70.000 (67.925) Epoch: [27][1320/11272] Time 0.750 (0.827) Data 0.002 (0.003) Loss 2.7130 (2.5837) Prec@1 34.375 (37.219) Prec@5 64.375 (67.923) Epoch: [27][1330/11272] Time 0.739 (0.827) Data 0.002 (0.003) Loss 2.3818 (2.5836) Prec@1 43.750 (37.221) Prec@5 71.250 (67.926) Epoch: [27][1340/11272] Time 0.877 (0.827) Data 0.002 (0.003) Loss 2.2605 (2.5835) Prec@1 45.625 (37.224) Prec@5 73.750 (67.926) Epoch: [27][1350/11272] Time 0.875 (0.827) Data 0.001 (0.003) Loss 2.5993 (2.5837) Prec@1 39.375 (37.209) Prec@5 70.625 (67.922) Epoch: [27][1360/11272] Time 0.748 (0.826) Data 0.001 (0.003) Loss 2.5347 (2.5835) Prec@1 38.750 (37.210) Prec@5 69.375 (67.932) Epoch: [27][1370/11272] Time 0.740 (0.826) Data 0.001 (0.003) Loss 2.7199 (2.5843) Prec@1 29.375 (37.189) Prec@5 66.875 (67.915) Epoch: [27][1380/11272] Time 0.882 (0.826) Data 0.002 (0.003) Loss 2.5154 (2.5840) Prec@1 40.625 (37.195) Prec@5 73.125 (67.926) Epoch: [27][1390/11272] Time 0.914 (0.826) Data 0.002 (0.003) Loss 2.6338 (2.5846) Prec@1 31.875 (37.195) Prec@5 69.375 (67.910) Epoch: [27][1400/11272] Time 0.763 (0.826) Data 0.001 (0.003) Loss 2.8347 (2.5848) Prec@1 35.625 (37.195) Prec@5 59.375 (67.901) Epoch: [27][1410/11272] Time 0.747 (0.826) Data 0.002 (0.003) Loss 2.5733 (2.5851) Prec@1 39.375 (37.189) Prec@5 70.625 (67.892) Epoch: [27][1420/11272] Time 0.856 (0.826) Data 0.002 (0.003) Loss 2.4423 (2.5850) Prec@1 36.250 (37.189) Prec@5 68.750 (67.899) Epoch: [27][1430/11272] Time 0.736 (0.826) Data 0.003 (0.003) Loss 2.5341 (2.5848) Prec@1 40.625 (37.189) Prec@5 66.250 (67.904) Epoch: [27][1440/11272] Time 0.759 (0.826) Data 0.001 (0.003) Loss 2.8070 (2.5854) Prec@1 30.000 (37.173) Prec@5 61.875 (67.882) Epoch: [27][1450/11272] Time 0.892 (0.826) Data 0.002 (0.003) Loss 2.5940 (2.5852) Prec@1 36.250 (37.171) Prec@5 65.000 (67.886) Epoch: [27][1460/11272] Time 0.850 (0.826) Data 0.001 (0.003) Loss 2.6013 (2.5854) Prec@1 36.875 (37.163) Prec@5 64.375 (67.883) Epoch: [27][1470/11272] Time 0.772 (0.826) Data 0.002 (0.003) Loss 2.4928 (2.5852) Prec@1 33.750 (37.158) Prec@5 69.375 (67.885) Epoch: [27][1480/11272] Time 0.798 (0.826) Data 0.002 (0.003) Loss 2.7711 (2.5855) Prec@1 35.000 (37.154) Prec@5 65.000 (67.873) Epoch: [27][1490/11272] Time 0.874 (0.826) Data 0.002 (0.003) Loss 2.5691 (2.5853) Prec@1 36.250 (37.160) Prec@5 67.500 (67.884) Epoch: [27][1500/11272] Time 0.877 (0.826) Data 0.002 (0.003) Loss 2.4886 (2.5858) Prec@1 42.500 (37.152) Prec@5 67.500 (67.874) Epoch: [27][1510/11272] Time 0.738 (0.826) Data 0.002 (0.003) Loss 2.6731 (2.5861) Prec@1 32.500 (37.148) Prec@5 68.125 (67.871) Epoch: [27][1520/11272] Time 0.787 (0.826) Data 0.002 (0.003) Loss 2.3881 (2.5858) Prec@1 42.500 (37.157) Prec@5 69.375 (67.876) Epoch: [27][1530/11272] Time 0.881 (0.826) Data 0.004 (0.003) Loss 2.3774 (2.5856) Prec@1 42.500 (37.154) Prec@5 70.625 (67.875) Epoch: [27][1540/11272] Time 0.845 (0.826) Data 0.001 (0.003) Loss 2.6438 (2.5859) Prec@1 35.625 (37.146) Prec@5 62.500 (67.867) Epoch: [27][1550/11272] Time 0.769 (0.826) Data 0.002 (0.003) Loss 2.4495 (2.5866) Prec@1 41.875 (37.134) Prec@5 69.375 (67.849) Epoch: [27][1560/11272] Time 0.901 (0.826) Data 0.002 (0.003) Loss 2.5425 (2.5864) Prec@1 40.625 (37.138) Prec@5 68.750 (67.853) Epoch: [27][1570/11272] Time 0.903 (0.826) Data 0.002 (0.003) Loss 2.6533 (2.5863) Prec@1 34.375 (37.140) Prec@5 68.125 (67.859) Epoch: [27][1580/11272] Time 0.739 (0.826) Data 0.001 (0.003) Loss 2.5406 (2.5860) Prec@1 40.000 (37.141) Prec@5 67.500 (67.869) Epoch: [27][1590/11272] Time 0.736 (0.826) Data 0.001 (0.003) Loss 2.3466 (2.5860) Prec@1 34.375 (37.145) Prec@5 75.625 (67.864) Epoch: [27][1600/11272] Time 0.927 (0.826) Data 0.002 (0.003) Loss 2.7935 (2.5861) Prec@1 30.625 (37.139) Prec@5 66.250 (67.865) Epoch: [27][1610/11272] Time 0.892 (0.826) Data 0.002 (0.003) Loss 2.4671 (2.5863) Prec@1 35.625 (37.132) Prec@5 72.500 (67.864) Epoch: [27][1620/11272] Time 0.780 (0.825) Data 0.002 (0.003) Loss 2.6760 (2.5862) Prec@1 33.125 (37.117) Prec@5 64.375 (67.874) Epoch: [27][1630/11272] Time 0.742 (0.825) Data 0.002 (0.003) Loss 2.5732 (2.5862) Prec@1 36.250 (37.106) Prec@5 71.250 (67.885) Epoch: [27][1640/11272] Time 0.856 (0.825) Data 0.001 (0.003) Loss 2.7159 (2.5866) Prec@1 32.500 (37.102) Prec@5 66.875 (67.881) Epoch: [27][1650/11272] Time 0.859 (0.825) Data 0.002 (0.003) Loss 2.4002 (2.5863) Prec@1 43.125 (37.112) Prec@5 71.250 (67.884) Epoch: [27][1660/11272] Time 0.772 (0.825) Data 0.002 (0.003) Loss 2.8703 (2.5865) Prec@1 32.500 (37.113) Prec@5 60.000 (67.870) Epoch: [27][1670/11272] Time 0.712 (0.825) Data 0.001 (0.003) Loss 2.8300 (2.5868) Prec@1 32.500 (37.110) Prec@5 66.250 (67.872) Epoch: [27][1680/11272] Time 0.865 (0.825) Data 0.001 (0.003) Loss 2.5640 (2.5872) Prec@1 35.625 (37.103) Prec@5 71.250 (67.867) Epoch: [27][1690/11272] Time 0.839 (0.825) Data 0.001 (0.003) Loss 2.6439 (2.5870) Prec@1 40.625 (37.109) Prec@5 65.000 (67.875) Epoch: [27][1700/11272] Time 0.751 (0.825) Data 0.001 (0.003) Loss 2.4579 (2.5876) Prec@1 36.250 (37.096) Prec@5 71.250 (67.870) Epoch: [27][1710/11272] Time 0.858 (0.825) Data 0.002 (0.003) Loss 2.5210 (2.5878) Prec@1 36.875 (37.096) Prec@5 66.250 (67.869) Epoch: [27][1720/11272] Time 0.911 (0.825) Data 0.001 (0.003) Loss 2.4680 (2.5886) Prec@1 38.125 (37.079) Prec@5 71.250 (67.848) Epoch: [27][1730/11272] Time 0.767 (0.825) Data 0.002 (0.003) Loss 2.6080 (2.5891) Prec@1 36.250 (37.071) Prec@5 66.250 (67.833) Epoch: [27][1740/11272] Time 0.734 (0.825) Data 0.001 (0.003) Loss 2.2867 (2.5894) Prec@1 43.750 (37.060) Prec@5 72.500 (67.818) Epoch: [27][1750/11272] Time 0.880 (0.825) Data 0.002 (0.003) Loss 2.6782 (2.5892) Prec@1 36.250 (37.072) Prec@5 62.500 (67.816) Epoch: [27][1760/11272] Time 0.851 (0.825) Data 0.001 (0.003) Loss 2.7739 (2.5891) Prec@1 35.000 (37.074) Prec@5 64.375 (67.823) Epoch: [27][1770/11272] Time 0.783 (0.825) Data 0.002 (0.003) Loss 2.8115 (2.5891) Prec@1 31.250 (37.067) Prec@5 63.750 (67.830) Epoch: [27][1780/11272] Time 0.761 (0.825) Data 0.002 (0.003) Loss 2.5545 (2.5894) Prec@1 41.250 (37.062) Prec@5 64.375 (67.820) Epoch: [27][1790/11272] Time 0.865 (0.825) Data 0.001 (0.003) Loss 2.4686 (2.5897) Prec@1 38.125 (37.052) Prec@5 65.000 (67.814) Epoch: [27][1800/11272] Time 0.856 (0.825) Data 0.002 (0.003) Loss 2.5097 (2.5896) Prec@1 40.625 (37.051) Prec@5 72.500 (67.824) Epoch: [27][1810/11272] Time 0.760 (0.825) Data 0.002 (0.003) Loss 2.6227 (2.5893) Prec@1 35.625 (37.061) Prec@5 64.375 (67.834) Epoch: [27][1820/11272] Time 0.730 (0.825) Data 0.001 (0.003) Loss 2.5940 (2.5895) Prec@1 37.500 (37.063) Prec@5 67.500 (67.825) Epoch: [27][1830/11272] Time 0.895 (0.825) Data 0.002 (0.003) Loss 2.3723 (2.5891) Prec@1 44.375 (37.069) Prec@5 69.375 (67.829) Epoch: [27][1840/11272] Time 0.758 (0.825) Data 0.001 (0.003) Loss 2.5290 (2.5892) Prec@1 40.000 (37.073) Prec@5 63.750 (67.821) Epoch: [27][1850/11272] Time 0.792 (0.825) Data 0.002 (0.003) Loss 2.5061 (2.5892) Prec@1 39.375 (37.071) Prec@5 68.750 (67.814) Epoch: [27][1860/11272] Time 0.948 (0.825) Data 0.002 (0.003) Loss 2.7343 (2.5889) Prec@1 31.250 (37.074) Prec@5 63.125 (67.816) Epoch: [27][1870/11272] Time 0.936 (0.825) Data 0.002 (0.003) Loss 2.5365 (2.5886) Prec@1 37.500 (37.085) Prec@5 68.125 (67.825) Epoch: [27][1880/11272] Time 0.764 (0.825) Data 0.001 (0.003) Loss 2.5350 (2.5885) Prec@1 43.125 (37.082) Prec@5 71.875 (67.824) Epoch: [27][1890/11272] Time 0.743 (0.825) Data 0.002 (0.003) Loss 2.7617 (2.5885) Prec@1 38.125 (37.082) Prec@5 63.750 (67.810) Epoch: [27][1900/11272] Time 0.872 (0.825) Data 0.001 (0.003) Loss 2.7906 (2.5888) Prec@1 36.875 (37.076) Prec@5 64.375 (67.808) Epoch: [27][1910/11272] Time 0.906 (0.825) Data 0.002 (0.003) Loss 2.8869 (2.5888) Prec@1 32.500 (37.081) Prec@5 60.625 (67.807) Epoch: [27][1920/11272] Time 0.812 (0.825) Data 0.001 (0.003) Loss 2.5665 (2.5891) Prec@1 38.750 (37.083) Prec@5 66.875 (67.805) Epoch: [27][1930/11272] Time 0.755 (0.825) Data 0.002 (0.003) Loss 2.4527 (2.5888) Prec@1 38.125 (37.086) Prec@5 73.125 (67.812) Epoch: [27][1940/11272] Time 0.901 (0.825) Data 0.001 (0.003) Loss 2.5730 (2.5885) Prec@1 38.750 (37.089) Prec@5 71.250 (67.821) Epoch: [27][1950/11272] Time 0.944 (0.825) Data 0.002 (0.003) Loss 2.6661 (2.5887) Prec@1 36.875 (37.085) Prec@5 61.875 (67.814) Epoch: [27][1960/11272] Time 0.798 (0.825) Data 0.002 (0.003) Loss 2.5978 (2.5885) Prec@1 38.125 (37.087) Prec@5 65.000 (67.819) Epoch: [27][1970/11272] Time 0.925 (0.825) Data 0.002 (0.003) Loss 2.5047 (2.5886) Prec@1 39.375 (37.087) Prec@5 66.875 (67.814) Epoch: [27][1980/11272] Time 0.937 (0.825) Data 0.002 (0.003) Loss 2.3780 (2.5882) Prec@1 38.750 (37.097) Prec@5 71.250 (67.826) Epoch: [27][1990/11272] Time 0.751 (0.825) Data 0.002 (0.003) Loss 2.6977 (2.5883) Prec@1 34.375 (37.097) Prec@5 65.000 (67.826) Epoch: [27][2000/11272] Time 0.766 (0.825) Data 0.002 (0.003) Loss 2.3842 (2.5879) Prec@1 44.375 (37.108) Prec@5 71.875 (67.830) Epoch: [27][2010/11272] Time 0.891 (0.825) Data 0.002 (0.003) Loss 2.7181 (2.5881) Prec@1 38.750 (37.104) Prec@5 63.750 (67.824) Epoch: [27][2020/11272] Time 0.862 (0.825) Data 0.002 (0.003) Loss 2.4717 (2.5881) Prec@1 38.750 (37.103) Prec@5 68.125 (67.821) Epoch: [27][2030/11272] Time 0.808 (0.825) Data 0.002 (0.003) Loss 2.2765 (2.5879) Prec@1 40.625 (37.101) Prec@5 70.625 (67.825) Epoch: [27][2040/11272] Time 0.742 (0.825) Data 0.002 (0.003) Loss 2.4057 (2.5875) Prec@1 40.625 (37.109) Prec@5 67.500 (67.832) Epoch: [27][2050/11272] Time 0.886 (0.825) Data 0.002 (0.003) Loss 2.5365 (2.5876) Prec@1 40.625 (37.104) Prec@5 70.625 (67.831) Epoch: [27][2060/11272] Time 0.899 (0.825) Data 0.002 (0.003) Loss 2.5643 (2.5876) Prec@1 36.875 (37.108) Prec@5 68.750 (67.833) Epoch: [27][2070/11272] Time 0.813 (0.825) Data 0.002 (0.003) Loss 2.5300 (2.5873) Prec@1 39.375 (37.116) Prec@5 67.500 (67.839) Epoch: [27][2080/11272] Time 0.755 (0.825) Data 0.002 (0.003) Loss 2.5453 (2.5875) Prec@1 40.625 (37.119) Prec@5 70.000 (67.829) Epoch: [27][2090/11272] Time 0.849 (0.825) Data 0.002 (0.003) Loss 2.8146 (2.5876) Prec@1 30.625 (37.122) Prec@5 63.750 (67.826) Epoch: [27][2100/11272] Time 0.737 (0.825) Data 0.003 (0.003) Loss 2.3595 (2.5876) Prec@1 41.875 (37.127) Prec@5 73.125 (67.824) Epoch: [27][2110/11272] Time 0.751 (0.825) Data 0.002 (0.003) Loss 2.6002 (2.5877) Prec@1 36.875 (37.124) Prec@5 66.875 (67.820) Epoch: [27][2120/11272] Time 0.887 (0.825) Data 0.002 (0.003) Loss 2.2773 (2.5875) Prec@1 40.000 (37.124) Prec@5 70.625 (67.819) Epoch: [27][2130/11272] Time 0.977 (0.825) Data 0.002 (0.003) Loss 2.5668 (2.5873) Prec@1 40.625 (37.126) Prec@5 65.625 (67.826) Epoch: [27][2140/11272] Time 0.783 (0.825) Data 0.001 (0.003) Loss 2.5491 (2.5871) Prec@1 39.375 (37.131) Prec@5 64.375 (67.823) Epoch: [27][2150/11272] Time 0.764 (0.825) Data 0.002 (0.003) Loss 2.9350 (2.5875) Prec@1 31.875 (37.124) Prec@5 60.625 (67.814) Epoch: [27][2160/11272] Time 0.897 (0.825) Data 0.002 (0.003) Loss 2.4321 (2.5877) Prec@1 40.625 (37.127) Prec@5 70.625 (67.815) Epoch: [27][2170/11272] Time 0.914 (0.825) Data 0.002 (0.003) Loss 2.6369 (2.5879) Prec@1 37.500 (37.123) Prec@5 66.875 (67.810) Epoch: [27][2180/11272] Time 0.727 (0.825) Data 0.002 (0.003) Loss 2.7158 (2.5878) Prec@1 34.375 (37.124) Prec@5 65.625 (67.812) Epoch: [27][2190/11272] Time 0.771 (0.825) Data 0.002 (0.003) Loss 2.4167 (2.5873) Prec@1 40.000 (37.134) Prec@5 72.500 (67.822) Epoch: [27][2200/11272] Time 0.844 (0.825) Data 0.001 (0.003) Loss 2.8533 (2.5875) Prec@1 36.250 (37.131) Prec@5 62.500 (67.820) Epoch: [27][2210/11272] Time 0.856 (0.825) Data 0.002 (0.003) Loss 2.5022 (2.5873) Prec@1 37.500 (37.131) Prec@5 70.625 (67.822) Epoch: [27][2220/11272] Time 0.775 (0.825) Data 0.002 (0.003) Loss 2.3058 (2.5872) Prec@1 40.625 (37.131) Prec@5 73.750 (67.824) Epoch: [27][2230/11272] Time 0.851 (0.825) Data 0.002 (0.003) Loss 2.5345 (2.5873) Prec@1 40.000 (37.131) Prec@5 70.625 (67.820) Epoch: [27][2240/11272] Time 0.920 (0.825) Data 0.002 (0.003) Loss 2.5401 (2.5873) Prec@1 35.625 (37.133) Prec@5 70.000 (67.824) Epoch: [27][2250/11272] Time 0.786 (0.825) Data 0.002 (0.003) Loss 2.6356 (2.5874) Prec@1 36.875 (37.133) Prec@5 61.875 (67.820) Epoch: [27][2260/11272] Time 0.764 (0.825) Data 0.002 (0.003) Loss 2.5058 (2.5871) Prec@1 36.250 (37.139) Prec@5 69.375 (67.825) Epoch: [27][2270/11272] Time 0.894 (0.825) Data 0.002 (0.003) Loss 2.8263 (2.5871) Prec@1 35.625 (37.143) Prec@5 61.250 (67.826) Epoch: [27][2280/11272] Time 0.821 (0.825) Data 0.002 (0.003) Loss 2.7102 (2.5875) Prec@1 36.875 (37.134) Prec@5 65.625 (67.816) Epoch: [27][2290/11272] Time 0.757 (0.825) Data 0.002 (0.003) Loss 2.5982 (2.5874) Prec@1 43.125 (37.139) Prec@5 63.750 (67.813) Epoch: [27][2300/11272] Time 0.776 (0.825) Data 0.002 (0.003) Loss 2.5576 (2.5872) Prec@1 38.125 (37.145) Prec@5 67.500 (67.817) Epoch: [27][2310/11272] Time 0.871 (0.825) Data 0.004 (0.003) Loss 2.7631 (2.5874) Prec@1 38.750 (37.141) Prec@5 64.375 (67.814) Epoch: [27][2320/11272] Time 0.858 (0.825) Data 0.001 (0.003) Loss 2.4052 (2.5874) Prec@1 38.750 (37.147) Prec@5 70.625 (67.814) Epoch: [27][2330/11272] Time 0.762 (0.825) Data 0.001 (0.003) Loss 2.7821 (2.5872) Prec@1 35.000 (37.151) Prec@5 63.750 (67.817) Epoch: [27][2340/11272] Time 0.766 (0.825) Data 0.002 (0.003) Loss 2.5256 (2.5873) Prec@1 43.125 (37.159) Prec@5 70.625 (67.810) Epoch: [27][2350/11272] Time 0.918 (0.825) Data 0.002 (0.003) Loss 2.3886 (2.5873) Prec@1 41.875 (37.161) Prec@5 73.750 (67.813) Epoch: [27][2360/11272] Time 0.751 (0.825) Data 0.003 (0.003) Loss 2.6551 (2.5874) Prec@1 41.875 (37.160) Prec@5 64.375 (67.807) Epoch: [27][2370/11272] Time 0.759 (0.825) Data 0.002 (0.003) Loss 2.6505 (2.5876) Prec@1 40.000 (37.163) Prec@5 66.250 (67.804) Epoch: [27][2380/11272] Time 0.872 (0.825) Data 0.002 (0.003) Loss 2.5950 (2.5875) Prec@1 36.875 (37.169) Prec@5 65.000 (67.806) Epoch: [27][2390/11272] Time 0.912 (0.825) Data 0.002 (0.003) Loss 2.8459 (2.5877) Prec@1 29.375 (37.160) Prec@5 66.250 (67.803) Epoch: [27][2400/11272] Time 0.725 (0.825) Data 0.001 (0.003) Loss 2.5493 (2.5877) Prec@1 38.750 (37.159) Prec@5 70.000 (67.803) Epoch: [27][2410/11272] Time 0.769 (0.825) Data 0.001 (0.003) Loss 2.5751 (2.5877) Prec@1 32.500 (37.155) Prec@5 69.375 (67.808) Epoch: [27][2420/11272] Time 0.859 (0.825) Data 0.001 (0.003) Loss 2.9665 (2.5878) Prec@1 35.625 (37.158) Prec@5 58.750 (67.810) Epoch: [27][2430/11272] Time 0.813 (0.825) Data 0.002 (0.003) Loss 2.7353 (2.5878) Prec@1 33.750 (37.157) Prec@5 64.375 (67.813) Epoch: [27][2440/11272] Time 0.755 (0.825) Data 0.001 (0.003) Loss 2.3850 (2.5878) Prec@1 36.875 (37.147) Prec@5 70.000 (67.816) Epoch: [27][2450/11272] Time 0.755 (0.825) Data 0.001 (0.003) Loss 2.7856 (2.5881) Prec@1 31.250 (37.137) Prec@5 65.000 (67.813) Epoch: [27][2460/11272] Time 0.845 (0.825) Data 0.002 (0.003) Loss 2.6146 (2.5880) Prec@1 37.500 (37.141) Prec@5 67.500 (67.812) Epoch: [27][2470/11272] Time 0.854 (0.824) Data 0.002 (0.003) Loss 2.5793 (2.5878) Prec@1 42.500 (37.147) Prec@5 68.125 (67.816) Epoch: [27][2480/11272] Time 0.754 (0.824) Data 0.001 (0.003) Loss 2.5185 (2.5877) Prec@1 38.750 (37.145) Prec@5 69.375 (67.820) Epoch: [27][2490/11272] Time 0.858 (0.824) Data 0.002 (0.003) Loss 2.4444 (2.5876) Prec@1 40.000 (37.148) Prec@5 73.125 (67.826) Epoch: [27][2500/11272] Time 0.922 (0.824) Data 0.001 (0.003) Loss 2.7836 (2.5877) Prec@1 32.500 (37.148) Prec@5 65.625 (67.825) Epoch: [27][2510/11272] Time 0.768 (0.824) Data 0.001 (0.003) Loss 2.8662 (2.5882) Prec@1 32.500 (37.137) Prec@5 66.875 (67.819) Epoch: [27][2520/11272] Time 0.774 (0.824) Data 0.001 (0.003) Loss 2.5734 (2.5883) Prec@1 35.000 (37.132) Prec@5 71.875 (67.816) Epoch: [27][2530/11272] Time 0.883 (0.824) Data 0.002 (0.003) Loss 2.3953 (2.5882) Prec@1 41.875 (37.129) Prec@5 65.000 (67.813) Epoch: [27][2540/11272] Time 0.852 (0.824) Data 0.001 (0.003) Loss 2.5373 (2.5883) Prec@1 38.125 (37.128) Prec@5 68.125 (67.813) Epoch: [27][2550/11272] Time 0.790 (0.824) Data 0.002 (0.003) Loss 2.7281 (2.5888) Prec@1 31.875 (37.116) Prec@5 65.000 (67.804) Epoch: [27][2560/11272] Time 0.791 (0.824) Data 0.001 (0.003) Loss 2.7609 (2.5886) Prec@1 38.125 (37.119) Prec@5 64.375 (67.806) Epoch: [27][2570/11272] Time 0.878 (0.824) Data 0.002 (0.003) Loss 2.5959 (2.5885) Prec@1 35.625 (37.121) Prec@5 70.625 (67.811) Epoch: [27][2580/11272] Time 0.823 (0.824) Data 0.001 (0.003) Loss 2.7822 (2.5884) Prec@1 35.625 (37.124) Prec@5 66.250 (67.812) Epoch: [27][2590/11272] Time 0.788 (0.824) Data 0.002 (0.003) Loss 2.3921 (2.5884) Prec@1 41.875 (37.127) Prec@5 71.875 (67.814) Epoch: [27][2600/11272] Time 0.774 (0.824) Data 0.002 (0.003) Loss 2.7266 (2.5881) Prec@1 36.875 (37.135) Prec@5 67.500 (67.821) Epoch: [27][2610/11272] Time 0.870 (0.824) Data 0.002 (0.003) Loss 2.6441 (2.5879) Prec@1 33.125 (37.140) Prec@5 63.125 (67.825) Epoch: [27][2620/11272] Time 0.921 (0.824) Data 0.001 (0.003) Loss 2.4550 (2.5879) Prec@1 37.500 (37.143) Prec@5 70.000 (67.824) Epoch: [27][2630/11272] Time 0.760 (0.824) Data 0.002 (0.003) Loss 2.4551 (2.5877) Prec@1 35.000 (37.142) Prec@5 73.125 (67.833) Epoch: [27][2640/11272] Time 0.803 (0.824) Data 0.001 (0.003) Loss 2.8782 (2.5880) Prec@1 26.250 (37.136) Prec@5 63.125 (67.826) Epoch: [27][2650/11272] Time 0.826 (0.824) Data 0.002 (0.003) Loss 2.6753 (2.5881) Prec@1 36.250 (37.134) Prec@5 65.625 (67.827) Epoch: [27][2660/11272] Time 0.763 (0.824) Data 0.001 (0.003) Loss 2.4407 (2.5880) Prec@1 39.375 (37.138) Prec@5 66.875 (67.828) Epoch: [27][2670/11272] Time 0.764 (0.824) Data 0.002 (0.003) Loss 2.7640 (2.5881) Prec@1 36.875 (37.131) Prec@5 67.500 (67.826) Epoch: [27][2680/11272] Time 0.885 (0.824) Data 0.002 (0.003) Loss 2.9564 (2.5880) Prec@1 30.000 (37.134) Prec@5 64.375 (67.827) Epoch: [27][2690/11272] Time 0.819 (0.824) Data 0.001 (0.003) Loss 2.5127 (2.5879) Prec@1 38.125 (37.137) Prec@5 65.625 (67.826) Epoch: [27][2700/11272] Time 0.772 (0.824) Data 0.001 (0.003) Loss 2.7860 (2.5878) Prec@1 38.125 (37.139) Prec@5 65.625 (67.830) Epoch: [27][2710/11272] Time 0.748 (0.824) Data 0.002 (0.003) Loss 2.5596 (2.5876) Prec@1 40.625 (37.142) Prec@5 71.875 (67.840) Epoch: [27][2720/11272] Time 0.938 (0.824) Data 0.002 (0.003) Loss 2.3955 (2.5875) Prec@1 44.375 (37.143) Prec@5 71.875 (67.841) Epoch: [27][2730/11272] Time 0.884 (0.824) Data 0.001 (0.003) Loss 2.6879 (2.5875) Prec@1 34.375 (37.142) Prec@5 64.375 (67.837) Epoch: [27][2740/11272] Time 0.729 (0.824) Data 0.002 (0.003) Loss 2.6906 (2.5877) Prec@1 37.500 (37.139) Prec@5 65.000 (67.832) Epoch: [27][2750/11272] Time 0.856 (0.824) Data 0.004 (0.003) Loss 2.4548 (2.5877) Prec@1 36.875 (37.139) Prec@5 73.750 (67.834) Epoch: [27][2760/11272] Time 0.899 (0.824) Data 0.002 (0.003) Loss 2.7221 (2.5875) Prec@1 36.875 (37.141) Prec@5 65.625 (67.839) Epoch: [27][2770/11272] Time 0.747 (0.824) Data 0.002 (0.002) Loss 2.7872 (2.5877) Prec@1 32.500 (37.139) Prec@5 62.500 (67.835) Epoch: [27][2780/11272] Time 0.773 (0.824) Data 0.001 (0.002) Loss 2.4375 (2.5881) Prec@1 37.500 (37.132) Prec@5 70.000 (67.825) Epoch: [27][2790/11272] Time 0.874 (0.824) Data 0.002 (0.002) Loss 2.6554 (2.5881) Prec@1 35.000 (37.127) Prec@5 63.750 (67.823) Epoch: [27][2800/11272] Time 0.887 (0.824) Data 0.002 (0.002) Loss 2.5576 (2.5881) Prec@1 38.750 (37.130) Prec@5 70.000 (67.828) Epoch: [27][2810/11272] Time 0.788 (0.824) Data 0.002 (0.002) Loss 2.5847 (2.5883) Prec@1 36.250 (37.130) Prec@5 69.375 (67.823) Epoch: [27][2820/11272] Time 0.747 (0.824) Data 0.002 (0.002) Loss 2.4417 (2.5881) Prec@1 36.875 (37.134) Prec@5 71.875 (67.829) Epoch: [27][2830/11272] Time 0.868 (0.824) Data 0.002 (0.002) Loss 2.5114 (2.5881) Prec@1 45.625 (37.132) Prec@5 70.000 (67.832) Epoch: [27][2840/11272] Time 0.856 (0.824) Data 0.001 (0.002) Loss 2.6170 (2.5881) Prec@1 35.000 (37.131) Prec@5 65.625 (67.833) Epoch: [27][2850/11272] Time 0.733 (0.824) Data 0.002 (0.002) Loss 2.4125 (2.5883) Prec@1 46.250 (37.123) Prec@5 76.250 (67.829) Epoch: [27][2860/11272] Time 0.792 (0.824) Data 0.001 (0.002) Loss 2.7303 (2.5887) Prec@1 35.000 (37.123) Prec@5 70.000 (67.825) Epoch: [27][2870/11272] Time 0.888 (0.824) Data 0.002 (0.002) Loss 2.4301 (2.5884) Prec@1 38.125 (37.127) Prec@5 70.000 (67.835) Epoch: [27][2880/11272] Time 0.866 (0.824) Data 0.001 (0.002) Loss 2.7497 (2.5883) Prec@1 37.500 (37.129) Prec@5 64.375 (67.835) Epoch: [27][2890/11272] Time 0.770 (0.824) Data 0.002 (0.002) Loss 2.6067 (2.5880) Prec@1 35.625 (37.130) Prec@5 62.500 (67.840) Epoch: [27][2900/11272] Time 0.837 (0.824) Data 0.001 (0.002) Loss 2.3097 (2.5879) Prec@1 42.500 (37.128) Prec@5 71.250 (67.841) Epoch: [27][2910/11272] Time 0.884 (0.824) Data 0.002 (0.002) Loss 2.5168 (2.5879) Prec@1 40.625 (37.126) Prec@5 67.500 (67.839) Epoch: [27][2920/11272] Time 0.753 (0.824) Data 0.002 (0.002) Loss 2.7385 (2.5881) Prec@1 33.125 (37.121) Prec@5 64.375 (67.838) Epoch: [27][2930/11272] Time 0.749 (0.824) Data 0.002 (0.002) Loss 2.5459 (2.5880) Prec@1 40.625 (37.123) Prec@5 66.875 (67.838) Epoch: [27][2940/11272] Time 0.863 (0.824) Data 0.001 (0.002) Loss 2.4622 (2.5881) Prec@1 39.375 (37.126) Prec@5 71.875 (67.837) Epoch: [27][2950/11272] Time 0.893 (0.824) Data 0.002 (0.002) Loss 2.5992 (2.5882) Prec@1 36.250 (37.122) Prec@5 66.875 (67.837) Epoch: [27][2960/11272] Time 0.751 (0.824) Data 0.002 (0.002) Loss 2.5090 (2.5882) Prec@1 43.125 (37.122) Prec@5 66.250 (67.836) Epoch: [27][2970/11272] Time 0.765 (0.824) Data 0.002 (0.002) Loss 2.6722 (2.5880) Prec@1 35.000 (37.121) Prec@5 64.375 (67.841) Epoch: [27][2980/11272] Time 0.857 (0.824) Data 0.001 (0.002) Loss 2.3900 (2.5880) Prec@1 37.500 (37.119) Prec@5 70.000 (67.840) Epoch: [27][2990/11272] Time 0.874 (0.824) Data 0.002 (0.002) Loss 2.8011 (2.5881) Prec@1 31.250 (37.115) Prec@5 66.250 (67.842) Epoch: [27][3000/11272] Time 0.729 (0.824) Data 0.001 (0.002) Loss 2.4865 (2.5881) Prec@1 40.625 (37.113) Prec@5 74.375 (67.845) Epoch: [27][3010/11272] Time 0.746 (0.824) Data 0.002 (0.002) Loss 2.8245 (2.5882) Prec@1 32.500 (37.114) Prec@5 65.000 (67.844) Epoch: [27][3020/11272] Time 0.868 (0.824) Data 0.001 (0.002) Loss 2.4642 (2.5881) Prec@1 37.500 (37.116) Prec@5 72.500 (67.848) Epoch: [27][3030/11272] Time 0.734 (0.824) Data 0.003 (0.002) Loss 2.6485 (2.5882) Prec@1 34.375 (37.111) Prec@5 66.250 (67.847) Epoch: [27][3040/11272] Time 0.732 (0.824) Data 0.002 (0.002) Loss 2.5950 (2.5884) Prec@1 36.875 (37.107) Prec@5 66.250 (67.842) Epoch: [27][3050/11272] Time 0.877 (0.824) Data 0.002 (0.002) Loss 2.7677 (2.5885) Prec@1 33.125 (37.108) Prec@5 72.500 (67.843) Epoch: [27][3060/11272] Time 0.880 (0.824) Data 0.002 (0.002) Loss 2.6510 (2.5882) Prec@1 36.875 (37.108) Prec@5 70.000 (67.849) Epoch: [27][3070/11272] Time 0.769 (0.824) Data 0.002 (0.002) Loss 2.7844 (2.5884) Prec@1 33.125 (37.107) Prec@5 60.625 (67.844) Epoch: [27][3080/11272] Time 0.754 (0.824) Data 0.001 (0.002) Loss 2.4591 (2.5883) Prec@1 38.125 (37.108) Prec@5 72.500 (67.847) Epoch: [27][3090/11272] Time 0.933 (0.824) Data 0.002 (0.002) Loss 2.9097 (2.5886) Prec@1 33.125 (37.101) Prec@5 63.125 (67.842) Epoch: [27][3100/11272] Time 0.852 (0.824) Data 0.001 (0.002) Loss 2.8019 (2.5887) Prec@1 33.125 (37.103) Prec@5 64.375 (67.838) Epoch: [27][3110/11272] Time 0.742 (0.824) Data 0.002 (0.002) Loss 2.7378 (2.5886) Prec@1 31.875 (37.101) Prec@5 65.000 (67.843) Epoch: [27][3120/11272] Time 0.775 (0.824) Data 0.002 (0.002) Loss 2.7043 (2.5887) Prec@1 35.000 (37.101) Prec@5 61.250 (67.840) Epoch: [27][3130/11272] Time 0.828 (0.824) Data 0.002 (0.002) Loss 2.6039 (2.5887) Prec@1 34.375 (37.102) Prec@5 66.875 (67.842) Epoch: [27][3140/11272] Time 0.868 (0.824) Data 0.001 (0.002) Loss 2.5612 (2.5888) Prec@1 38.125 (37.101) Prec@5 66.250 (67.837) Epoch: [27][3150/11272] Time 0.751 (0.824) Data 0.002 (0.002) Loss 2.5166 (2.5890) Prec@1 42.500 (37.100) Prec@5 70.625 (67.836) Epoch: [27][3160/11272] Time 0.847 (0.824) Data 0.001 (0.002) Loss 2.7209 (2.5892) Prec@1 33.125 (37.099) Prec@5 66.250 (67.829) Epoch: [27][3170/11272] Time 0.854 (0.824) Data 0.002 (0.002) Loss 2.3841 (2.5891) Prec@1 38.125 (37.100) Prec@5 73.125 (67.833) Epoch: [27][3180/11272] Time 0.754 (0.824) Data 0.002 (0.002) Loss 2.5731 (2.5891) Prec@1 41.250 (37.101) Prec@5 71.250 (67.833) Epoch: [27][3190/11272] Time 0.748 (0.824) Data 0.002 (0.002) Loss 2.3603 (2.5889) Prec@1 43.750 (37.106) Prec@5 74.375 (67.838) Epoch: [27][3200/11272] Time 0.845 (0.824) Data 0.001 (0.002) Loss 2.2708 (2.5887) Prec@1 43.125 (37.109) Prec@5 75.625 (67.844) Epoch: [27][3210/11272] Time 0.885 (0.824) Data 0.002 (0.002) Loss 2.4599 (2.5887) Prec@1 43.125 (37.111) Prec@5 68.750 (67.845) Epoch: [27][3220/11272] Time 0.755 (0.824) Data 0.001 (0.002) Loss 2.2831 (2.5887) Prec@1 40.625 (37.109) Prec@5 74.375 (67.845) Epoch: [27][3230/11272] Time 0.803 (0.824) Data 0.002 (0.002) Loss 2.7782 (2.5890) Prec@1 37.500 (37.102) Prec@5 63.125 (67.843) Epoch: [27][3240/11272] Time 0.877 (0.824) Data 0.002 (0.002) Loss 2.5465 (2.5889) Prec@1 38.750 (37.103) Prec@5 67.500 (67.843) Epoch: [27][3250/11272] Time 0.869 (0.824) Data 0.002 (0.002) Loss 2.6705 (2.5889) Prec@1 35.625 (37.102) Prec@5 65.625 (67.845) Epoch: [27][3260/11272] Time 0.768 (0.824) Data 0.002 (0.002) Loss 2.6777 (2.5889) Prec@1 33.750 (37.103) Prec@5 71.875 (67.846) Epoch: [27][3270/11272] Time 0.774 (0.824) Data 0.002 (0.002) Loss 2.3268 (2.5886) Prec@1 40.625 (37.105) Prec@5 73.750 (67.852) Epoch: [27][3280/11272] Time 0.928 (0.824) Data 0.002 (0.002) Loss 2.7499 (2.5886) Prec@1 33.125 (37.100) Prec@5 62.500 (67.855) Epoch: [27][3290/11272] Time 0.730 (0.824) Data 0.004 (0.002) Loss 2.8358 (2.5886) Prec@1 34.375 (37.105) Prec@5 66.875 (67.859) Epoch: [27][3300/11272] Time 0.747 (0.824) Data 0.001 (0.002) Loss 2.4533 (2.5885) Prec@1 42.500 (37.102) Prec@5 71.250 (67.862) Epoch: [27][3310/11272] Time 0.870 (0.824) Data 0.002 (0.002) Loss 2.7483 (2.5882) Prec@1 33.125 (37.106) Prec@5 61.875 (67.865) Epoch: [27][3320/11272] Time 0.900 (0.824) Data 0.002 (0.002) Loss 2.7676 (2.5883) Prec@1 33.125 (37.106) Prec@5 66.250 (67.863) Epoch: [27][3330/11272] Time 0.776 (0.824) Data 0.003 (0.002) Loss 2.5119 (2.5883) Prec@1 38.125 (37.102) Prec@5 69.375 (67.868) Epoch: [27][3340/11272] Time 0.766 (0.824) Data 0.002 (0.002) Loss 2.7171 (2.5886) Prec@1 36.250 (37.100) Prec@5 66.250 (67.863) Epoch: [27][3350/11272] Time 0.875 (0.824) Data 0.002 (0.002) Loss 2.2507 (2.5887) Prec@1 39.375 (37.096) Prec@5 75.000 (67.859) Epoch: [27][3360/11272] Time 0.930 (0.824) Data 0.002 (0.002) Loss 2.4975 (2.5886) Prec@1 38.125 (37.097) Prec@5 70.000 (67.859) Epoch: [27][3370/11272] Time 0.734 (0.824) Data 0.002 (0.002) Loss 2.4942 (2.5887) Prec@1 36.875 (37.093) Prec@5 71.875 (67.858) Epoch: [27][3380/11272] Time 0.753 (0.824) Data 0.001 (0.002) Loss 2.3665 (2.5889) Prec@1 42.500 (37.091) Prec@5 73.125 (67.855) Epoch: [27][3390/11272] Time 0.904 (0.824) Data 0.002 (0.002) Loss 2.5395 (2.5887) Prec@1 36.875 (37.094) Prec@5 65.625 (67.856) Epoch: [27][3400/11272] Time 0.907 (0.824) Data 0.002 (0.002) Loss 2.9028 (2.5889) Prec@1 27.500 (37.093) Prec@5 61.250 (67.852) Epoch: [27][3410/11272] Time 0.783 (0.824) Data 0.002 (0.002) Loss 2.7951 (2.5889) Prec@1 33.125 (37.095) Prec@5 64.375 (67.852) Epoch: [27][3420/11272] Time 0.924 (0.824) Data 0.002 (0.002) Loss 2.7600 (2.5890) Prec@1 28.125 (37.089) Prec@5 65.625 (67.846) Epoch: [27][3430/11272] Time 0.897 (0.824) Data 0.002 (0.002) Loss 2.7412 (2.5893) Prec@1 34.375 (37.090) Prec@5 68.750 (67.842) Epoch: [27][3440/11272] Time 0.729 (0.824) Data 0.002 (0.002) Loss 2.4975 (2.5893) Prec@1 42.500 (37.092) Prec@5 68.125 (67.840) Epoch: [27][3450/11272] Time 0.747 (0.824) Data 0.002 (0.002) Loss 2.5440 (2.5895) Prec@1 37.500 (37.087) Prec@5 69.375 (67.832) Epoch: [27][3460/11272] Time 0.879 (0.824) Data 0.002 (0.002) Loss 2.6296 (2.5899) Prec@1 38.750 (37.081) Prec@5 66.875 (67.823) Epoch: [27][3470/11272] Time 0.922 (0.824) Data 0.002 (0.002) Loss 2.7166 (2.5898) Prec@1 36.250 (37.085) Prec@5 65.625 (67.824) Epoch: [27][3480/11272] Time 0.792 (0.824) Data 0.002 (0.002) Loss 2.5814 (2.5898) Prec@1 43.750 (37.088) Prec@5 65.000 (67.820) Epoch: [27][3490/11272] Time 0.756 (0.824) Data 0.002 (0.002) Loss 2.6615 (2.5900) Prec@1 35.000 (37.080) Prec@5 63.125 (67.813) Epoch: [27][3500/11272] Time 0.869 (0.824) Data 0.002 (0.002) Loss 2.3080 (2.5901) Prec@1 44.375 (37.076) Prec@5 78.750 (67.810) Epoch: [27][3510/11272] Time 0.902 (0.824) Data 0.002 (0.002) Loss 2.7087 (2.5900) Prec@1 33.125 (37.077) Prec@5 67.500 (67.814) Epoch: [27][3520/11272] Time 0.725 (0.824) Data 0.001 (0.002) Loss 2.8128 (2.5901) Prec@1 36.875 (37.078) Prec@5 62.500 (67.814) Epoch: [27][3530/11272] Time 0.777 (0.824) Data 0.002 (0.002) Loss 2.4645 (2.5902) Prec@1 41.875 (37.071) Prec@5 70.625 (67.809) Epoch: [27][3540/11272] Time 0.871 (0.824) Data 0.001 (0.002) Loss 2.4506 (2.5903) Prec@1 46.250 (37.074) Prec@5 71.250 (67.810) Epoch: [27][3550/11272] Time 0.881 (0.824) Data 0.001 (0.002) Loss 2.3913 (2.5902) Prec@1 42.500 (37.076) Prec@5 75.000 (67.808) Epoch: [27][3560/11272] Time 0.772 (0.824) Data 0.001 (0.002) Loss 2.5616 (2.5900) Prec@1 36.875 (37.078) Prec@5 62.500 (67.814) Epoch: [27][3570/11272] Time 0.898 (0.824) Data 0.002 (0.002) Loss 2.9889 (2.5901) Prec@1 32.500 (37.081) Prec@5 58.750 (67.811) Epoch: [27][3580/11272] Time 0.880 (0.824) Data 0.001 (0.002) Loss 2.5710 (2.5902) Prec@1 35.000 (37.074) Prec@5 66.250 (67.809) Epoch: [27][3590/11272] Time 0.771 (0.824) Data 0.001 (0.002) Loss 2.7981 (2.5904) Prec@1 30.000 (37.067) Prec@5 64.375 (67.806) Epoch: [27][3600/11272] Time 0.730 (0.824) Data 0.001 (0.002) Loss 2.6773 (2.5907) Prec@1 37.500 (37.063) Prec@5 65.000 (67.803) Epoch: [27][3610/11272] Time 0.882 (0.824) Data 0.002 (0.002) Loss 2.3946 (2.5904) Prec@1 44.375 (37.073) Prec@5 71.250 (67.810) Epoch: [27][3620/11272] Time 0.874 (0.824) Data 0.001 (0.002) Loss 2.5684 (2.5904) Prec@1 36.875 (37.073) Prec@5 69.375 (67.812) Epoch: [27][3630/11272] Time 0.782 (0.824) Data 0.002 (0.002) Loss 2.6405 (2.5904) Prec@1 36.875 (37.072) Prec@5 65.625 (67.810) Epoch: [27][3640/11272] Time 0.750 (0.824) Data 0.001 (0.002) Loss 2.4950 (2.5904) Prec@1 37.500 (37.072) Prec@5 68.125 (67.810) Epoch: [27][3650/11272] Time 0.880 (0.824) Data 0.002 (0.002) Loss 2.5860 (2.5903) Prec@1 37.500 (37.076) Prec@5 65.000 (67.815) Epoch: [27][3660/11272] Time 0.897 (0.824) Data 0.002 (0.002) Loss 2.5914 (2.5904) Prec@1 40.000 (37.075) Prec@5 71.250 (67.812) Epoch: [27][3670/11272] Time 0.755 (0.824) Data 0.002 (0.002) Loss 2.7167 (2.5906) Prec@1 41.250 (37.073) Prec@5 61.875 (67.804) Epoch: [27][3680/11272] Time 0.797 (0.824) Data 0.001 (0.002) Loss 2.5712 (2.5906) Prec@1 39.375 (37.075) Prec@5 65.625 (67.800) Epoch: [27][3690/11272] Time 0.872 (0.824) Data 0.001 (0.002) Loss 2.8404 (2.5906) Prec@1 35.625 (37.077) Prec@5 60.000 (67.798) Epoch: [27][3700/11272] Time 0.791 (0.824) Data 0.001 (0.002) Loss 2.8162 (2.5908) Prec@1 30.625 (37.072) Prec@5 62.500 (67.792) Epoch: [27][3710/11272] Time 0.751 (0.824) Data 0.002 (0.002) Loss 2.5728 (2.5906) Prec@1 38.125 (37.070) Prec@5 68.125 (67.799) Epoch: [27][3720/11272] Time 0.850 (0.824) Data 0.001 (0.002) Loss 2.5700 (2.5906) Prec@1 33.125 (37.067) Prec@5 68.125 (67.799) Epoch: [27][3730/11272] Time 0.870 (0.824) Data 0.002 (0.002) Loss 2.3813 (2.5907) Prec@1 41.875 (37.067) Prec@5 68.750 (67.799) Epoch: [27][3740/11272] Time 0.804 (0.824) Data 0.001 (0.002) Loss 2.4246 (2.5904) Prec@1 40.625 (37.073) Prec@5 74.375 (67.804) Epoch: [27][3750/11272] Time 0.811 (0.824) Data 0.002 (0.002) Loss 2.3048 (2.5903) Prec@1 43.750 (37.073) Prec@5 71.250 (67.806) Epoch: [27][3760/11272] Time 0.871 (0.824) Data 0.002 (0.002) Loss 2.6112 (2.5902) Prec@1 35.625 (37.079) Prec@5 69.375 (67.810) Epoch: [27][3770/11272] Time 0.955 (0.824) Data 0.002 (0.002) Loss 2.4372 (2.5902) Prec@1 41.250 (37.079) Prec@5 68.125 (67.808) Epoch: [27][3780/11272] Time 0.768 (0.824) Data 0.001 (0.002) Loss 2.6959 (2.5901) Prec@1 28.750 (37.080) Prec@5 63.750 (67.809) Epoch: [27][3790/11272] Time 0.756 (0.824) Data 0.002 (0.002) Loss 2.5357 (2.5901) Prec@1 38.125 (37.082) Prec@5 68.125 (67.807) Epoch: [27][3800/11272] Time 0.873 (0.824) Data 0.003 (0.002) Loss 2.5896 (2.5900) Prec@1 38.125 (37.084) Prec@5 65.625 (67.807) Epoch: [27][3810/11272] Time 0.853 (0.824) Data 0.002 (0.002) Loss 2.6883 (2.5900) Prec@1 33.750 (37.084) Prec@5 70.000 (67.810) Epoch: [27][3820/11272] Time 0.754 (0.824) Data 0.001 (0.002) Loss 2.4042 (2.5899) Prec@1 40.000 (37.086) Prec@5 70.625 (67.812) Epoch: [27][3830/11272] Time 0.859 (0.824) Data 0.002 (0.002) Loss 2.7731 (2.5899) Prec@1 31.875 (37.088) Prec@5 66.250 (67.813) Epoch: [27][3840/11272] Time 0.860 (0.824) Data 0.002 (0.002) Loss 2.4223 (2.5899) Prec@1 35.000 (37.086) Prec@5 68.125 (67.810) Epoch: [27][3850/11272] Time 0.787 (0.824) Data 0.001 (0.002) Loss 2.4013 (2.5900) Prec@1 44.375 (37.084) Prec@5 72.500 (67.809) Epoch: [27][3860/11272] Time 0.761 (0.824) Data 0.001 (0.002) Loss 2.3448 (2.5899) Prec@1 41.875 (37.087) Prec@5 74.375 (67.812) Epoch: [27][3870/11272] Time 0.917 (0.824) Data 0.002 (0.002) Loss 2.6022 (2.5899) Prec@1 33.125 (37.085) Prec@5 68.125 (67.814) Epoch: [27][3880/11272] Time 0.854 (0.824) Data 0.001 (0.002) Loss 2.7403 (2.5900) Prec@1 34.375 (37.080) Prec@5 63.750 (67.812) Epoch: [27][3890/11272] Time 0.752 (0.824) Data 0.002 (0.002) Loss 2.7317 (2.5901) Prec@1 35.625 (37.076) Prec@5 63.750 (67.807) Epoch: [27][3900/11272] Time 0.742 (0.824) Data 0.003 (0.002) Loss 2.5682 (2.5902) Prec@1 34.375 (37.074) Prec@5 66.875 (67.806) Epoch: [27][3910/11272] Time 0.864 (0.824) Data 0.002 (0.002) Loss 2.3452 (2.5901) Prec@1 43.750 (37.072) Prec@5 71.875 (67.808) Epoch: [27][3920/11272] Time 0.882 (0.824) Data 0.002 (0.002) Loss 2.4665 (2.5902) Prec@1 40.625 (37.073) Prec@5 63.125 (67.805) Epoch: [27][3930/11272] Time 0.768 (0.824) Data 0.002 (0.002) Loss 2.5712 (2.5903) Prec@1 33.750 (37.071) Prec@5 68.125 (67.801) Epoch: [27][3940/11272] Time 0.781 (0.824) Data 0.001 (0.002) Loss 2.5900 (2.5904) Prec@1 32.500 (37.066) Prec@5 65.625 (67.802) Epoch: [27][3950/11272] Time 0.892 (0.824) Data 0.001 (0.002) Loss 2.3662 (2.5903) Prec@1 41.250 (37.068) Prec@5 71.250 (67.802) Epoch: [27][3960/11272] Time 0.747 (0.824) Data 0.001 (0.002) Loss 2.4849 (2.5903) Prec@1 38.750 (37.070) Prec@5 71.250 (67.803) Epoch: [27][3970/11272] Time 0.763 (0.824) Data 0.002 (0.002) Loss 2.4283 (2.5903) Prec@1 41.875 (37.069) Prec@5 66.250 (67.802) Epoch: [27][3980/11272] Time 0.857 (0.824) Data 0.002 (0.002) Loss 2.3768 (2.5903) Prec@1 38.125 (37.069) Prec@5 69.375 (67.803) Epoch: [27][3990/11272] Time 0.890 (0.824) Data 0.002 (0.002) Loss 2.5047 (2.5902) Prec@1 41.875 (37.071) Prec@5 68.750 (67.808) Epoch: [27][4000/11272] Time 0.791 (0.824) Data 0.001 (0.002) Loss 2.4350 (2.5902) Prec@1 39.375 (37.071) Prec@5 72.500 (67.807) Epoch: [27][4010/11272] Time 0.798 (0.824) Data 0.002 (0.002) Loss 2.3707 (2.5902) Prec@1 39.375 (37.071) Prec@5 71.250 (67.805) Epoch: [27][4020/11272] Time 0.831 (0.824) Data 0.001 (0.002) Loss 2.5018 (2.5902) Prec@1 38.125 (37.072) Prec@5 70.000 (67.802) Epoch: [27][4030/11272] Time 0.872 (0.824) Data 0.002 (0.002) Loss 2.4451 (2.5904) Prec@1 36.250 (37.068) Prec@5 70.625 (67.802) Epoch: [27][4040/11272] Time 0.781 (0.824) Data 0.002 (0.002) Loss 2.4917 (2.5902) Prec@1 38.125 (37.070) Prec@5 68.125 (67.804) Epoch: [27][4050/11272] Time 0.804 (0.824) Data 0.002 (0.002) Loss 2.6535 (2.5902) Prec@1 33.125 (37.072) Prec@5 66.875 (67.804) Epoch: [27][4060/11272] Time 1.065 (0.824) Data 0.002 (0.002) Loss 2.4970 (2.5900) Prec@1 40.625 (37.075) Prec@5 68.125 (67.806) Epoch: [27][4070/11272] Time 0.879 (0.824) Data 0.002 (0.002) Loss 2.6792 (2.5900) Prec@1 36.875 (37.075) Prec@5 66.250 (67.809) Epoch: [27][4080/11272] Time 0.839 (0.824) Data 0.002 (0.002) Loss 2.6559 (2.5901) Prec@1 35.625 (37.075) Prec@5 65.000 (67.806) Epoch: [27][4090/11272] Time 0.898 (0.824) Data 0.003 (0.002) Loss 2.6673 (2.5902) Prec@1 36.875 (37.073) Prec@5 63.125 (67.801) Epoch: [27][4100/11272] Time 0.896 (0.824) Data 0.001 (0.002) Loss 2.6523 (2.5904) Prec@1 35.000 (37.072) Prec@5 66.250 (67.799) Epoch: [27][4110/11272] Time 0.780 (0.824) Data 0.002 (0.002) Loss 2.5060 (2.5904) Prec@1 41.250 (37.069) Prec@5 72.500 (67.798) Epoch: [27][4120/11272] Time 0.763 (0.824) Data 0.001 (0.002) Loss 2.4088 (2.5905) Prec@1 45.000 (37.065) Prec@5 70.000 (67.796) Epoch: [27][4130/11272] Time 0.870 (0.824) Data 0.002 (0.002) Loss 2.6975 (2.5904) Prec@1 31.250 (37.066) Prec@5 68.125 (67.798) Epoch: [27][4140/11272] Time 0.884 (0.824) Data 0.001 (0.002) Loss 2.8108 (2.5904) Prec@1 35.000 (37.065) Prec@5 67.500 (67.797) Epoch: [27][4150/11272] Time 0.772 (0.824) Data 0.002 (0.002) Loss 2.6399 (2.5903) Prec@1 30.000 (37.066) Prec@5 70.000 (67.802) Epoch: [27][4160/11272] Time 0.779 (0.824) Data 0.002 (0.002) Loss 2.4887 (2.5905) Prec@1 41.250 (37.063) Prec@5 68.125 (67.800) Epoch: [27][4170/11272] Time 0.864 (0.824) Data 0.002 (0.002) Loss 2.5563 (2.5906) Prec@1 37.500 (37.059) Prec@5 66.875 (67.797) Epoch: [27][4180/11272] Time 0.943 (0.824) Data 0.001 (0.002) Loss 2.4588 (2.5906) Prec@1 43.750 (37.056) Prec@5 67.500 (67.797) Epoch: [27][4190/11272] Time 0.746 (0.824) Data 0.002 (0.002) Loss 2.7161 (2.5908) Prec@1 35.000 (37.056) Prec@5 63.750 (67.794) Epoch: [27][4200/11272] Time 0.747 (0.824) Data 0.001 (0.002) Loss 2.8632 (2.5908) Prec@1 31.250 (37.053) Prec@5 63.125 (67.795) Epoch: [27][4210/11272] Time 0.896 (0.824) Data 0.002 (0.002) Loss 2.4860 (2.5909) Prec@1 36.250 (37.049) Prec@5 68.125 (67.791) Epoch: [27][4220/11272] Time 0.740 (0.824) Data 0.003 (0.002) Loss 2.6277 (2.5908) Prec@1 35.625 (37.054) Prec@5 64.375 (67.792) Epoch: [27][4230/11272] Time 0.742 (0.824) Data 0.002 (0.002) Loss 2.4190 (2.5908) Prec@1 38.125 (37.054) Prec@5 68.750 (67.791) Epoch: [27][4240/11272] Time 0.844 (0.824) Data 0.001 (0.002) Loss 2.7606 (2.5907) Prec@1 36.250 (37.053) Prec@5 64.375 (67.790) Epoch: [27][4250/11272] Time 0.852 (0.824) Data 0.001 (0.002) Loss 2.3701 (2.5908) Prec@1 36.250 (37.051) Prec@5 71.250 (67.791) Epoch: [27][4260/11272] Time 0.762 (0.824) Data 0.002 (0.002) Loss 2.3775 (2.5907) Prec@1 38.750 (37.053) Prec@5 71.250 (67.797) Epoch: [27][4270/11272] Time 0.766 (0.824) Data 0.002 (0.002) Loss 2.6639 (2.5908) Prec@1 35.000 (37.055) Prec@5 63.750 (67.792) Epoch: [27][4280/11272] Time 0.838 (0.824) Data 0.001 (0.002) Loss 2.5208 (2.5906) Prec@1 40.000 (37.059) Prec@5 69.375 (67.798) Epoch: [27][4290/11272] Time 0.910 (0.824) Data 0.002 (0.002) Loss 2.5106 (2.5906) Prec@1 41.250 (37.057) Prec@5 68.750 (67.795) Epoch: [27][4300/11272] Time 0.756 (0.824) Data 0.002 (0.002) Loss 2.4615 (2.5905) Prec@1 40.000 (37.062) Prec@5 70.000 (67.799) Epoch: [27][4310/11272] Time 0.764 (0.824) Data 0.002 (0.002) Loss 2.7057 (2.5904) Prec@1 39.375 (37.062) Prec@5 65.000 (67.797) Epoch: [27][4320/11272] Time 0.862 (0.824) Data 0.001 (0.002) Loss 2.7248 (2.5905) Prec@1 36.875 (37.058) Prec@5 66.875 (67.797) Epoch: [27][4330/11272] Time 0.866 (0.824) Data 0.002 (0.002) Loss 2.5525 (2.5905) Prec@1 36.875 (37.057) Prec@5 68.750 (67.798) Epoch: [27][4340/11272] Time 0.739 (0.824) Data 0.001 (0.002) Loss 2.2928 (2.5905) Prec@1 44.375 (37.058) Prec@5 70.625 (67.797) Epoch: [27][4350/11272] Time 0.935 (0.824) Data 0.002 (0.002) Loss 2.4750 (2.5903) Prec@1 38.125 (37.062) Prec@5 72.500 (67.801) Epoch: [27][4360/11272] Time 0.843 (0.824) Data 0.001 (0.002) Loss 2.4998 (2.5901) Prec@1 34.375 (37.062) Prec@5 68.750 (67.807) Epoch: [27][4370/11272] Time 0.757 (0.824) Data 0.002 (0.002) Loss 2.6993 (2.5904) Prec@1 30.625 (37.054) Prec@5 65.625 (67.801) Epoch: [27][4380/11272] Time 0.768 (0.824) Data 0.001 (0.002) Loss 2.4898 (2.5904) Prec@1 41.250 (37.057) Prec@5 67.500 (67.800) Epoch: [27][4390/11272] Time 0.856 (0.824) Data 0.001 (0.002) Loss 2.3348 (2.5905) Prec@1 41.250 (37.053) Prec@5 73.750 (67.796) Epoch: [27][4400/11272] Time 0.889 (0.824) Data 0.002 (0.002) Loss 2.6335 (2.5907) Prec@1 38.125 (37.050) Prec@5 63.750 (67.790) Epoch: [27][4410/11272] Time 0.773 (0.824) Data 0.002 (0.002) Loss 2.5255 (2.5905) Prec@1 40.625 (37.051) Prec@5 68.125 (67.793) Epoch: [27][4420/11272] Time 0.746 (0.824) Data 0.001 (0.002) Loss 2.3871 (2.5903) Prec@1 40.625 (37.057) Prec@5 72.500 (67.795) Epoch: [27][4430/11272] Time 0.892 (0.824) Data 0.002 (0.002) Loss 3.0049 (2.5905) Prec@1 31.250 (37.054) Prec@5 60.625 (67.792) Epoch: [27][4440/11272] Time 0.834 (0.824) Data 0.001 (0.002) Loss 2.6541 (2.5906) Prec@1 36.250 (37.056) Prec@5 67.500 (67.794) Epoch: [27][4450/11272] Time 0.782 (0.824) Data 0.002 (0.002) Loss 2.8357 (2.5907) Prec@1 30.625 (37.050) Prec@5 61.250 (67.792) Epoch: [27][4460/11272] Time 0.756 (0.824) Data 0.001 (0.002) Loss 2.4782 (2.5906) Prec@1 34.375 (37.050) Prec@5 71.875 (67.797) Epoch: [27][4470/11272] Time 0.876 (0.824) Data 0.002 (0.002) Loss 2.7811 (2.5907) Prec@1 33.125 (37.049) Prec@5 61.250 (67.795) Epoch: [27][4480/11272] Time 0.846 (0.824) Data 0.001 (0.002) Loss 2.5001 (2.5908) Prec@1 38.750 (37.047) Prec@5 65.000 (67.790) Epoch: [27][4490/11272] Time 0.780 (0.824) Data 0.002 (0.002) Loss 2.7798 (2.5909) Prec@1 33.125 (37.049) Prec@5 60.625 (67.789) Epoch: [27][4500/11272] Time 0.781 (0.824) Data 0.001 (0.002) Loss 2.8246 (2.5911) Prec@1 35.000 (37.047) Prec@5 67.500 (67.787) Epoch: [27][4510/11272] Time 0.838 (0.824) Data 0.002 (0.002) Loss 2.5826 (2.5911) Prec@1 37.500 (37.043) Prec@5 70.000 (67.786) Epoch: [27][4520/11272] Time 0.754 (0.824) Data 0.001 (0.002) Loss 2.4014 (2.5911) Prec@1 38.750 (37.042) Prec@5 72.500 (67.785) Epoch: [27][4530/11272] Time 0.782 (0.824) Data 0.002 (0.002) Loss 2.5232 (2.5912) Prec@1 36.875 (37.037) Prec@5 67.500 (67.782) Epoch: [27][4540/11272] Time 0.873 (0.824) Data 0.001 (0.002) Loss 2.6134 (2.5913) Prec@1 38.125 (37.035) Prec@5 64.375 (67.782) Epoch: [27][4550/11272] Time 0.913 (0.824) Data 0.002 (0.002) Loss 2.6888 (2.5913) Prec@1 38.750 (37.033) Prec@5 67.500 (67.784) Epoch: [27][4560/11272] Time 0.785 (0.824) Data 0.001 (0.002) Loss 2.5852 (2.5914) Prec@1 33.750 (37.030) Prec@5 65.000 (67.781) Epoch: [27][4570/11272] Time 0.795 (0.824) Data 0.002 (0.002) Loss 2.8330 (2.5915) Prec@1 33.125 (37.026) Prec@5 61.875 (67.778) Epoch: [27][4580/11272] Time 0.811 (0.824) Data 0.001 (0.002) Loss 2.5099 (2.5915) Prec@1 34.375 (37.026) Prec@5 68.750 (67.779) Epoch: [27][4590/11272] Time 0.904 (0.824) Data 0.002 (0.002) Loss 2.5807 (2.5916) Prec@1 34.375 (37.024) Prec@5 67.500 (67.777) Epoch: [27][4600/11272] Time 0.761 (0.824) Data 0.002 (0.002) Loss 2.5068 (2.5916) Prec@1 40.000 (37.021) Prec@5 71.875 (67.779) Epoch: [27][4610/11272] Time 0.751 (0.824) Data 0.002 (0.002) Loss 2.4822 (2.5917) Prec@1 39.375 (37.020) Prec@5 70.000 (67.775) Epoch: [27][4620/11272] Time 0.875 (0.824) Data 0.002 (0.002) Loss 2.7366 (2.5918) Prec@1 32.500 (37.021) Prec@5 64.375 (67.773) Epoch: [27][4630/11272] Time 0.764 (0.824) Data 0.001 (0.002) Loss 2.5813 (2.5919) Prec@1 31.250 (37.022) Prec@5 68.750 (67.771) Epoch: [27][4640/11272] Time 0.727 (0.824) Data 0.002 (0.002) Loss 2.7387 (2.5919) Prec@1 31.250 (37.019) Prec@5 66.875 (67.771) Epoch: [27][4650/11272] Time 0.904 (0.824) Data 0.001 (0.002) Loss 2.8269 (2.5920) Prec@1 33.750 (37.019) Prec@5 65.625 (67.772) Epoch: [27][4660/11272] Time 0.882 (0.824) Data 0.002 (0.002) Loss 2.8995 (2.5921) Prec@1 31.875 (37.018) Prec@5 59.375 (67.769) Epoch: [27][4670/11272] Time 0.788 (0.824) Data 0.002 (0.002) Loss 2.6824 (2.5922) Prec@1 32.500 (37.016) Prec@5 68.125 (67.770) Epoch: [27][4680/11272] Time 0.736 (0.824) Data 0.001 (0.002) Loss 2.6233 (2.5920) Prec@1 40.000 (37.015) Prec@5 72.500 (67.777) Epoch: [27][4690/11272] Time 0.846 (0.824) Data 0.001 (0.002) Loss 2.4542 (2.5920) Prec@1 41.250 (37.017) Prec@5 68.125 (67.781) Epoch: [27][4700/11272] Time 0.908 (0.824) Data 0.002 (0.002) Loss 2.4429 (2.5918) Prec@1 37.500 (37.019) Prec@5 71.250 (67.783) Epoch: [27][4710/11272] Time 0.735 (0.824) Data 0.002 (0.002) Loss 2.5526 (2.5917) Prec@1 35.625 (37.020) Prec@5 70.625 (67.787) Epoch: [27][4720/11272] Time 0.737 (0.824) Data 0.001 (0.002) Loss 2.7660 (2.5918) Prec@1 27.500 (37.017) Prec@5 67.500 (67.783) Epoch: [27][4730/11272] Time 0.861 (0.824) Data 0.001 (0.002) Loss 2.6743 (2.5919) Prec@1 38.750 (37.016) Prec@5 66.875 (67.783) Epoch: [27][4740/11272] Time 0.873 (0.824) Data 0.002 (0.002) Loss 2.5419 (2.5919) Prec@1 39.375 (37.015) Prec@5 66.250 (67.782) Epoch: [27][4750/11272] Time 0.746 (0.824) Data 0.002 (0.002) Loss 2.6945 (2.5919) Prec@1 33.125 (37.016) Prec@5 68.125 (67.780) Epoch: [27][4760/11272] Time 0.901 (0.824) Data 0.002 (0.002) Loss 2.5337 (2.5919) Prec@1 37.500 (37.013) Prec@5 67.500 (67.782) Epoch: [27][4770/11272] Time 0.894 (0.824) Data 0.002 (0.002) Loss 2.4957 (2.5919) Prec@1 33.750 (37.013) Prec@5 70.000 (67.781) Epoch: [27][4780/11272] Time 0.764 (0.824) Data 0.002 (0.002) Loss 2.5078 (2.5920) Prec@1 34.375 (37.012) Prec@5 69.375 (67.781) Epoch: [27][4790/11272] Time 0.735 (0.824) Data 0.002 (0.002) Loss 2.4008 (2.5921) Prec@1 42.500 (37.012) Prec@5 75.625 (67.779) Epoch: [27][4800/11272] Time 0.953 (0.824) Data 0.002 (0.002) Loss 2.5025 (2.5920) Prec@1 34.375 (37.012) Prec@5 73.125 (67.782) Epoch: [27][4810/11272] Time 0.859 (0.824) Data 0.002 (0.002) Loss 2.5378 (2.5919) Prec@1 38.125 (37.013) Prec@5 69.375 (67.783) Epoch: [27][4820/11272] Time 0.792 (0.824) Data 0.001 (0.002) Loss 2.6616 (2.5920) Prec@1 30.625 (37.011) Prec@5 66.250 (67.782) Epoch: [27][4830/11272] Time 0.762 (0.824) Data 0.002 (0.002) Loss 2.5294 (2.5922) Prec@1 37.500 (37.006) Prec@5 68.750 (67.779) Epoch: [27][4840/11272] Time 0.895 (0.824) Data 0.002 (0.002) Loss 2.7095 (2.5924) Prec@1 36.250 (37.001) Prec@5 68.125 (67.775) Epoch: [27][4850/11272] Time 0.852 (0.824) Data 0.002 (0.002) Loss 2.4585 (2.5924) Prec@1 46.250 (37.003) Prec@5 71.250 (67.777) Epoch: [27][4860/11272] Time 0.805 (0.824) Data 0.002 (0.002) Loss 2.8150 (2.5924) Prec@1 36.250 (37.005) Prec@5 65.625 (67.775) Epoch: [27][4870/11272] Time 0.734 (0.824) Data 0.002 (0.002) Loss 2.4193 (2.5923) Prec@1 40.000 (37.005) Prec@5 68.750 (67.778) Epoch: [27][4880/11272] Time 0.864 (0.824) Data 0.002 (0.002) Loss 2.6762 (2.5924) Prec@1 36.875 (37.007) Prec@5 68.750 (67.777) Epoch: [27][4890/11272] Time 0.740 (0.824) Data 0.004 (0.002) Loss 2.7152 (2.5924) Prec@1 38.750 (37.002) Prec@5 62.500 (67.775) Epoch: [27][4900/11272] Time 0.806 (0.824) Data 0.002 (0.002) Loss 2.6022 (2.5924) Prec@1 35.625 (37.003) Prec@5 66.875 (67.773) Epoch: [27][4910/11272] Time 0.879 (0.824) Data 0.002 (0.002) Loss 2.8619 (2.5924) Prec@1 36.250 (37.006) Prec@5 58.750 (67.773) Epoch: [27][4920/11272] Time 0.937 (0.824) Data 0.002 (0.002) Loss 2.6004 (2.5924) Prec@1 32.500 (37.006) Prec@5 66.250 (67.773) Epoch: [27][4930/11272] Time 0.763 (0.824) Data 0.002 (0.002) Loss 2.6011 (2.5923) Prec@1 36.250 (37.008) Prec@5 66.250 (67.775) Epoch: [27][4940/11272] Time 0.742 (0.824) Data 0.001 (0.002) Loss 2.3275 (2.5923) Prec@1 40.625 (37.008) Prec@5 73.750 (67.775) Epoch: [27][4950/11272] Time 0.896 (0.824) Data 0.002 (0.002) Loss 2.8329 (2.5925) Prec@1 32.500 (37.005) Prec@5 63.750 (67.770) Epoch: [27][4960/11272] Time 0.905 (0.824) Data 0.002 (0.002) Loss 2.8265 (2.5924) Prec@1 33.750 (37.009) Prec@5 65.625 (67.772) Epoch: [27][4970/11272] Time 0.771 (0.824) Data 0.002 (0.002) Loss 2.7221 (2.5923) Prec@1 31.875 (37.010) Prec@5 65.000 (67.774) Epoch: [27][4980/11272] Time 0.759 (0.824) Data 0.003 (0.002) Loss 2.5676 (2.5921) Prec@1 38.750 (37.013) Prec@5 69.375 (67.778) Epoch: [27][4990/11272] Time 0.897 (0.824) Data 0.003 (0.002) Loss 2.5600 (2.5921) Prec@1 36.875 (37.011) Prec@5 68.750 (67.780) Epoch: [27][5000/11272] Time 0.879 (0.824) Data 0.002 (0.002) Loss 2.5034 (2.5920) Prec@1 38.750 (37.011) Prec@5 69.375 (67.781) Epoch: [27][5010/11272] Time 0.736 (0.824) Data 0.002 (0.002) Loss 2.3911 (2.5921) Prec@1 36.875 (37.008) Prec@5 69.375 (67.781) Epoch: [27][5020/11272] Time 0.863 (0.824) Data 0.001 (0.002) Loss 2.3235 (2.5920) Prec@1 41.875 (37.015) Prec@5 75.625 (67.785) Epoch: [27][5030/11272] Time 0.836 (0.824) Data 0.002 (0.002) Loss 2.4739 (2.5918) Prec@1 40.625 (37.017) Prec@5 73.125 (67.790) Epoch: [27][5040/11272] Time 0.749 (0.824) Data 0.001 (0.002) Loss 2.4176 (2.5917) Prec@1 41.250 (37.019) Prec@5 68.125 (67.793) Epoch: [27][5050/11272] Time 0.792 (0.824) Data 0.002 (0.002) Loss 2.0891 (2.5916) Prec@1 42.500 (37.023) Prec@5 78.750 (67.796) Epoch: [27][5060/11272] Time 0.917 (0.824) Data 0.002 (0.002) Loss 2.4264 (2.5916) Prec@1 40.000 (37.022) Prec@5 68.125 (67.796) Epoch: [27][5070/11272] Time 0.826 (0.824) Data 0.002 (0.002) Loss 2.3573 (2.5914) Prec@1 40.000 (37.023) Prec@5 74.375 (67.799) Epoch: [27][5080/11272] Time 0.794 (0.824) Data 0.002 (0.002) Loss 2.7960 (2.5914) Prec@1 33.125 (37.023) Prec@5 67.500 (67.796) Epoch: [27][5090/11272] Time 0.732 (0.824) Data 0.001 (0.002) Loss 2.6998 (2.5914) Prec@1 36.875 (37.023) Prec@5 66.875 (67.798) Epoch: [27][5100/11272] Time 0.853 (0.824) Data 0.002 (0.002) Loss 2.6464 (2.5915) Prec@1 35.625 (37.025) Prec@5 65.000 (67.796) Epoch: [27][5110/11272] Time 0.929 (0.824) Data 0.002 (0.002) Loss 2.8324 (2.5915) Prec@1 29.375 (37.023) Prec@5 64.375 (67.796) Epoch: [27][5120/11272] Time 0.741 (0.824) Data 0.002 (0.002) Loss 2.6995 (2.5914) Prec@1 31.250 (37.021) Prec@5 63.125 (67.797) Epoch: [27][5130/11272] Time 0.756 (0.824) Data 0.002 (0.002) Loss 2.4926 (2.5914) Prec@1 39.375 (37.025) Prec@5 66.875 (67.799) Epoch: [27][5140/11272] Time 0.903 (0.824) Data 0.002 (0.002) Loss 2.3643 (2.5915) Prec@1 38.750 (37.023) Prec@5 71.250 (67.796) Epoch: [27][5150/11272] Time 0.748 (0.824) Data 0.004 (0.002) Loss 2.5337 (2.5916) Prec@1 35.625 (37.017) Prec@5 66.250 (67.795) Epoch: [27][5160/11272] Time 0.726 (0.824) Data 0.002 (0.002) Loss 2.5920 (2.5918) Prec@1 40.000 (37.015) Prec@5 68.125 (67.792) Epoch: [27][5170/11272] Time 0.914 (0.824) Data 0.002 (0.002) Loss 2.6412 (2.5918) Prec@1 36.250 (37.016) Prec@5 64.375 (67.791) Epoch: [27][5180/11272] Time 0.894 (0.824) Data 0.002 (0.002) Loss 2.7517 (2.5919) Prec@1 32.500 (37.011) Prec@5 64.375 (67.790) Epoch: [27][5190/11272] Time 0.760 (0.824) Data 0.002 (0.002) Loss 2.5167 (2.5919) Prec@1 36.250 (37.010) Prec@5 67.500 (67.789) Epoch: [27][5200/11272] Time 0.732 (0.824) Data 0.001 (0.002) Loss 2.8080 (2.5921) Prec@1 31.875 (37.002) Prec@5 65.000 (67.789) Epoch: [27][5210/11272] Time 0.842 (0.824) Data 0.002 (0.002) Loss 2.4969 (2.5921) Prec@1 40.000 (37.005) Prec@5 68.125 (67.787) Epoch: [27][5220/11272] Time 0.894 (0.824) Data 0.002 (0.002) Loss 2.5686 (2.5922) Prec@1 34.375 (37.004) Prec@5 73.125 (67.783) Epoch: [27][5230/11272] Time 0.749 (0.824) Data 0.001 (0.002) Loss 2.5541 (2.5921) Prec@1 33.125 (37.005) Prec@5 68.125 (67.785) Epoch: [27][5240/11272] Time 0.763 (0.824) Data 0.002 (0.002) Loss 2.3790 (2.5920) Prec@1 43.125 (37.006) Prec@5 72.500 (67.785) Epoch: [27][5250/11272] Time 0.860 (0.824) Data 0.002 (0.002) Loss 2.7219 (2.5920) Prec@1 35.000 (37.005) Prec@5 65.625 (67.784) Epoch: [27][5260/11272] Time 0.853 (0.824) Data 0.002 (0.002) Loss 2.9147 (2.5921) Prec@1 33.750 (37.004) Prec@5 64.375 (67.783) Epoch: [27][5270/11272] Time 0.733 (0.823) Data 0.002 (0.002) Loss 2.5694 (2.5920) Prec@1 36.250 (37.005) Prec@5 70.000 (67.787) Epoch: [27][5280/11272] Time 0.878 (0.823) Data 0.002 (0.002) Loss 2.6727 (2.5922) Prec@1 36.875 (37.001) Prec@5 66.250 (67.782) Epoch: [27][5290/11272] Time 0.850 (0.823) Data 0.002 (0.002) Loss 2.5366 (2.5921) Prec@1 33.750 (37.000) Prec@5 72.500 (67.784) Epoch: [27][5300/11272] Time 0.762 (0.823) Data 0.002 (0.002) Loss 2.3389 (2.5920) Prec@1 45.625 (37.002) Prec@5 70.625 (67.785) Epoch: [27][5310/11272] Time 0.751 (0.823) Data 0.002 (0.002) Loss 2.3327 (2.5919) Prec@1 37.500 (37.003) Prec@5 75.000 (67.787) Epoch: [27][5320/11272] Time 0.979 (0.823) Data 0.002 (0.002) Loss 2.6152 (2.5919) Prec@1 36.250 (37.005) Prec@5 63.750 (67.789) Epoch: [27][5330/11272] Time 0.826 (0.823) Data 0.002 (0.002) Loss 2.9442 (2.5919) Prec@1 33.750 (37.006) Prec@5 61.875 (67.788) Epoch: [27][5340/11272] Time 0.757 (0.823) Data 0.001 (0.002) Loss 2.3941 (2.5919) Prec@1 36.875 (37.002) Prec@5 68.750 (67.786) Epoch: [27][5350/11272] Time 0.734 (0.823) Data 0.002 (0.002) Loss 2.7339 (2.5920) Prec@1 31.250 (36.999) Prec@5 69.375 (67.788) Epoch: [27][5360/11272] Time 0.862 (0.823) Data 0.002 (0.002) Loss 2.6367 (2.5919) Prec@1 36.875 (37.002) Prec@5 68.125 (67.788) Epoch: [27][5370/11272] Time 0.903 (0.823) Data 0.002 (0.002) Loss 2.5989 (2.5920) Prec@1 36.875 (36.998) Prec@5 66.875 (67.787) Epoch: [27][5380/11272] Time 0.780 (0.823) Data 0.002 (0.002) Loss 2.6577 (2.5921) Prec@1 33.750 (36.996) Prec@5 70.000 (67.788) Epoch: [27][5390/11272] Time 0.757 (0.823) Data 0.002 (0.002) Loss 2.8280 (2.5923) Prec@1 32.500 (36.994) Prec@5 66.250 (67.785) Epoch: [27][5400/11272] Time 0.866 (0.823) Data 0.002 (0.002) Loss 2.5092 (2.5923) Prec@1 41.875 (36.995) Prec@5 69.375 (67.784) Epoch: [27][5410/11272] Time 0.888 (0.823) Data 0.001 (0.002) Loss 2.5491 (2.5924) Prec@1 31.875 (36.992) Prec@5 66.250 (67.783) Epoch: [27][5420/11272] Time 0.779 (0.823) Data 0.002 (0.002) Loss 2.6858 (2.5925) Prec@1 40.000 (36.995) Prec@5 62.500 (67.781) Epoch: [27][5430/11272] Time 0.826 (0.823) Data 0.002 (0.002) Loss 2.7174 (2.5926) Prec@1 33.125 (36.991) Prec@5 67.500 (67.781) Epoch: [27][5440/11272] Time 0.944 (0.823) Data 0.002 (0.002) Loss 2.5817 (2.5925) Prec@1 38.750 (36.992) Prec@5 70.000 (67.783) Epoch: [27][5450/11272] Time 0.743 (0.823) Data 0.002 (0.002) Loss 2.1821 (2.5925) Prec@1 45.000 (36.990) Prec@5 76.250 (67.783) Epoch: [27][5460/11272] Time 0.807 (0.823) Data 0.002 (0.002) Loss 2.6085 (2.5926) Prec@1 40.000 (36.988) Prec@5 69.375 (67.780) Epoch: [27][5470/11272] Time 0.857 (0.823) Data 0.002 (0.002) Loss 2.5473 (2.5926) Prec@1 35.625 (36.987) Prec@5 70.625 (67.783) Epoch: [27][5480/11272] Time 0.842 (0.823) Data 0.002 (0.002) Loss 2.4037 (2.5925) Prec@1 38.125 (36.988) Prec@5 69.375 (67.783) Epoch: [27][5490/11272] Time 0.769 (0.823) Data 0.001 (0.002) Loss 2.5224 (2.5926) Prec@1 40.625 (36.986) Prec@5 71.250 (67.780) Epoch: [27][5500/11272] Time 0.763 (0.823) Data 0.001 (0.002) Loss 2.4261 (2.5926) Prec@1 43.125 (36.987) Prec@5 68.750 (67.780) Epoch: [27][5510/11272] Time 0.884 (0.823) Data 0.001 (0.002) Loss 2.5631 (2.5928) Prec@1 42.500 (36.987) Prec@5 71.875 (67.780) Epoch: [27][5520/11272] Time 0.885 (0.823) Data 0.002 (0.002) Loss 2.5793 (2.5928) Prec@1 34.375 (36.986) Prec@5 65.625 (67.778) Epoch: [27][5530/11272] Time 0.754 (0.823) Data 0.002 (0.002) Loss 2.5853 (2.5929) Prec@1 38.750 (36.987) Prec@5 63.750 (67.777) Epoch: [27][5540/11272] Time 0.746 (0.823) Data 0.002 (0.002) Loss 2.6846 (2.5930) Prec@1 35.000 (36.986) Prec@5 65.000 (67.773) Epoch: [27][5550/11272] Time 0.850 (0.823) Data 0.001 (0.002) Loss 2.6615 (2.5930) Prec@1 35.000 (36.988) Prec@5 61.250 (67.771) Epoch: [27][5560/11272] Time 0.774 (0.823) Data 0.002 (0.002) Loss 2.4194 (2.5928) Prec@1 35.625 (36.988) Prec@5 72.500 (67.774) Epoch: [27][5570/11272] Time 0.766 (0.823) Data 0.001 (0.002) Loss 2.6052 (2.5928) Prec@1 38.750 (36.990) Prec@5 69.375 (67.775) Epoch: [27][5580/11272] Time 0.854 (0.823) Data 0.001 (0.002) Loss 2.4612 (2.5930) Prec@1 41.250 (36.987) Prec@5 70.625 (67.772) Epoch: [27][5590/11272] Time 0.844 (0.823) Data 0.001 (0.002) Loss 2.4786 (2.5930) Prec@1 38.125 (36.985) Prec@5 70.625 (67.773) Epoch: [27][5600/11272] Time 0.738 (0.823) Data 0.001 (0.002) Loss 2.4702 (2.5930) Prec@1 40.625 (36.984) Prec@5 70.000 (67.772) Epoch: [27][5610/11272] Time 0.749 (0.823) Data 0.001 (0.002) Loss 2.3318 (2.5929) Prec@1 38.750 (36.987) Prec@5 75.625 (67.774) Epoch: [27][5620/11272] Time 0.868 (0.823) Data 0.003 (0.002) Loss 2.8672 (2.5930) Prec@1 41.250 (36.988) Prec@5 60.625 (67.771) Epoch: [27][5630/11272] Time 0.846 (0.823) Data 0.002 (0.002) Loss 2.7401 (2.5931) Prec@1 37.500 (36.991) Prec@5 68.125 (67.772) Epoch: [27][5640/11272] Time 0.761 (0.823) Data 0.002 (0.002) Loss 2.7865 (2.5933) Prec@1 35.625 (36.988) Prec@5 61.875 (67.766) Epoch: [27][5650/11272] Time 0.736 (0.823) Data 0.001 (0.002) Loss 2.5967 (2.5934) Prec@1 35.000 (36.986) Prec@5 68.125 (67.764) Epoch: [27][5660/11272] Time 0.887 (0.823) Data 0.002 (0.002) Loss 2.5142 (2.5934) Prec@1 38.125 (36.982) Prec@5 68.125 (67.761) Epoch: [27][5670/11272] Time 0.823 (0.823) Data 0.001 (0.002) Loss 2.2222 (2.5933) Prec@1 41.250 (36.985) Prec@5 74.375 (67.761) Epoch: [27][5680/11272] Time 0.751 (0.823) Data 0.001 (0.002) Loss 2.5298 (2.5934) Prec@1 39.375 (36.984) Prec@5 68.750 (67.761) Epoch: [27][5690/11272] Time 0.866 (0.823) Data 0.002 (0.002) Loss 2.5579 (2.5934) Prec@1 36.875 (36.984) Prec@5 68.125 (67.762) Epoch: [27][5700/11272] Time 0.932 (0.823) Data 0.001 (0.002) Loss 2.7872 (2.5935) Prec@1 37.500 (36.983) Prec@5 60.625 (67.758) Epoch: [27][5710/11272] Time 0.750 (0.823) Data 0.001 (0.002) Loss 2.5463 (2.5935) Prec@1 37.500 (36.982) Prec@5 68.125 (67.759) Epoch: [27][5720/11272] Time 0.796 (0.823) Data 0.002 (0.002) Loss 2.5626 (2.5936) Prec@1 40.625 (36.982) Prec@5 66.875 (67.756) Epoch: [27][5730/11272] Time 0.856 (0.823) Data 0.001 (0.002) Loss 2.6957 (2.5937) Prec@1 35.625 (36.980) Prec@5 67.500 (67.754) Epoch: [27][5740/11272] Time 0.926 (0.823) Data 0.002 (0.002) Loss 2.5616 (2.5937) Prec@1 40.000 (36.979) Prec@5 65.000 (67.752) Epoch: [27][5750/11272] Time 0.753 (0.823) Data 0.001 (0.002) Loss 2.6445 (2.5938) Prec@1 38.125 (36.978) Prec@5 66.250 (67.751) Epoch: [27][5760/11272] Time 0.764 (0.823) Data 0.002 (0.002) Loss 2.7744 (2.5939) Prec@1 30.000 (36.974) Prec@5 66.250 (67.749) Epoch: [27][5770/11272] Time 0.857 (0.823) Data 0.001 (0.002) Loss 2.4857 (2.5939) Prec@1 38.125 (36.974) Prec@5 71.250 (67.753) Epoch: [27][5780/11272] Time 0.881 (0.823) Data 0.002 (0.002) Loss 2.3904 (2.5939) Prec@1 48.125 (36.978) Prec@5 70.625 (67.752) Epoch: [27][5790/11272] Time 0.750 (0.823) Data 0.001 (0.002) Loss 2.6003 (2.5940) Prec@1 33.750 (36.976) Prec@5 68.750 (67.750) Epoch: [27][5800/11272] Time 0.800 (0.823) Data 0.002 (0.002) Loss 2.6222 (2.5941) Prec@1 34.375 (36.975) Prec@5 68.750 (67.748) Epoch: [27][5810/11272] Time 0.858 (0.823) Data 0.002 (0.002) Loss 2.5287 (2.5942) Prec@1 38.750 (36.975) Prec@5 66.875 (67.745) Epoch: [27][5820/11272] Time 0.782 (0.823) Data 0.003 (0.002) Loss 2.6270 (2.5941) Prec@1 32.500 (36.975) Prec@5 66.875 (67.747) Epoch: [27][5830/11272] Time 0.728 (0.823) Data 0.001 (0.002) Loss 2.9580 (2.5942) Prec@1 26.875 (36.971) Prec@5 60.000 (67.742) Epoch: [27][5840/11272] Time 0.872 (0.823) Data 0.001 (0.002) Loss 2.2444 (2.5941) Prec@1 41.875 (36.972) Prec@5 76.250 (67.745) Epoch: [27][5850/11272] Time 0.848 (0.823) Data 0.001 (0.002) Loss 2.3835 (2.5942) Prec@1 38.125 (36.971) Prec@5 70.625 (67.743) Epoch: [27][5860/11272] Time 0.750 (0.823) Data 0.003 (0.002) Loss 2.6980 (2.5942) Prec@1 37.500 (36.974) Prec@5 67.500 (67.745) Epoch: [27][5870/11272] Time 0.761 (0.823) Data 0.002 (0.002) Loss 2.6174 (2.5942) Prec@1 30.000 (36.973) Prec@5 67.500 (67.742) Epoch: [27][5880/11272] Time 0.882 (0.823) Data 0.002 (0.002) Loss 2.8130 (2.5941) Prec@1 34.375 (36.973) Prec@5 64.375 (67.743) Epoch: [27][5890/11272] Time 0.856 (0.823) Data 0.001 (0.002) Loss 2.4015 (2.5942) Prec@1 42.500 (36.972) Prec@5 73.125 (67.742) Epoch: [27][5900/11272] Time 0.809 (0.823) Data 0.003 (0.002) Loss 2.6381 (2.5943) Prec@1 35.000 (36.971) Prec@5 70.000 (67.743) Epoch: [27][5910/11272] Time 0.733 (0.823) Data 0.002 (0.002) Loss 2.4093 (2.5943) Prec@1 40.625 (36.970) Prec@5 73.125 (67.744) Epoch: [27][5920/11272] Time 0.871 (0.823) Data 0.002 (0.002) Loss 2.7795 (2.5942) Prec@1 31.875 (36.971) Prec@5 65.000 (67.745) Epoch: [27][5930/11272] Time 0.881 (0.823) Data 0.002 (0.002) Loss 2.5604 (2.5944) Prec@1 34.375 (36.967) Prec@5 68.750 (67.743) Epoch: [27][5940/11272] Time 0.781 (0.823) Data 0.002 (0.002) Loss 2.8070 (2.5946) Prec@1 30.625 (36.965) Prec@5 63.125 (67.740) Epoch: [27][5950/11272] Time 0.860 (0.823) Data 0.001 (0.002) Loss 2.5711 (2.5945) Prec@1 38.750 (36.965) Prec@5 68.125 (67.741) Epoch: [27][5960/11272] Time 0.928 (0.823) Data 0.002 (0.002) Loss 2.6446 (2.5944) Prec@1 33.125 (36.968) Prec@5 65.000 (67.744) Epoch: [27][5970/11272] Time 0.740 (0.823) Data 0.001 (0.002) Loss 2.7142 (2.5945) Prec@1 33.750 (36.966) Prec@5 63.750 (67.743) Epoch: [27][5980/11272] Time 0.765 (0.823) Data 0.002 (0.002) Loss 2.7022 (2.5944) Prec@1 40.000 (36.968) Prec@5 63.750 (67.743) Epoch: [27][5990/11272] Time 0.901 (0.823) Data 0.001 (0.002) Loss 2.6447 (2.5945) Prec@1 39.375 (36.967) Prec@5 65.625 (67.741) Epoch: [27][6000/11272] Time 0.839 (0.823) Data 0.002 (0.002) Loss 2.5939 (2.5945) Prec@1 36.875 (36.968) Prec@5 65.000 (67.740) Epoch: [27][6010/11272] Time 0.748 (0.823) Data 0.002 (0.002) Loss 2.5441 (2.5945) Prec@1 38.750 (36.968) Prec@5 70.000 (67.740) Epoch: [27][6020/11272] Time 0.763 (0.823) Data 0.002 (0.002) Loss 2.6086 (2.5947) Prec@1 39.375 (36.967) Prec@5 66.875 (67.740) Epoch: [27][6030/11272] Time 0.837 (0.823) Data 0.001 (0.002) Loss 2.8009 (2.5947) Prec@1 36.250 (36.967) Prec@5 65.000 (67.739) Epoch: [27][6040/11272] Time 0.956 (0.823) Data 0.002 (0.002) Loss 2.5436 (2.5947) Prec@1 40.625 (36.967) Prec@5 68.750 (67.740) Epoch: [27][6050/11272] Time 0.744 (0.823) Data 0.001 (0.002) Loss 2.7893 (2.5948) Prec@1 34.375 (36.967) Prec@5 61.875 (67.738) Epoch: [27][6060/11272] Time 0.799 (0.823) Data 0.002 (0.002) Loss 2.4890 (2.5947) Prec@1 38.125 (36.969) Prec@5 70.000 (67.736) Epoch: [27][6070/11272] Time 0.847 (0.823) Data 0.001 (0.002) Loss 2.5533 (2.5948) Prec@1 37.500 (36.969) Prec@5 69.375 (67.737) Epoch: [27][6080/11272] Time 0.762 (0.823) Data 0.004 (0.002) Loss 2.6327 (2.5949) Prec@1 38.125 (36.969) Prec@5 64.375 (67.733) Epoch: [27][6090/11272] Time 0.750 (0.823) Data 0.002 (0.002) Loss 2.8471 (2.5949) Prec@1 33.125 (36.970) Prec@5 60.000 (67.730) Epoch: [27][6100/11272] Time 0.853 (0.823) Data 0.002 (0.002) Loss 2.8235 (2.5949) Prec@1 35.000 (36.970) Prec@5 60.625 (67.728) Epoch: [27][6110/11272] Time 0.838 (0.823) Data 0.001 (0.002) Loss 2.4643 (2.5948) Prec@1 36.250 (36.971) Prec@5 70.000 (67.731) Epoch: [27][6120/11272] Time 0.760 (0.823) Data 0.002 (0.002) Loss 2.6583 (2.5948) Prec@1 38.750 (36.973) Prec@5 66.250 (67.731) Epoch: [27][6130/11272] Time 0.754 (0.823) Data 0.001 (0.002) Loss 2.4665 (2.5947) Prec@1 35.000 (36.976) Prec@5 73.125 (67.733) Epoch: [27][6140/11272] Time 0.877 (0.823) Data 0.002 (0.002) Loss 2.5190 (2.5948) Prec@1 35.625 (36.975) Prec@5 68.125 (67.732) Epoch: [27][6150/11272] Time 0.871 (0.823) Data 0.001 (0.002) Loss 2.8355 (2.5947) Prec@1 31.875 (36.975) Prec@5 61.250 (67.731) Epoch: [27][6160/11272] Time 0.768 (0.823) Data 0.002 (0.002) Loss 2.5521 (2.5948) Prec@1 41.250 (36.974) Prec@5 65.000 (67.727) Epoch: [27][6170/11272] Time 0.755 (0.823) Data 0.001 (0.002) Loss 2.4461 (2.5948) Prec@1 39.375 (36.975) Prec@5 70.000 (67.725) Epoch: [27][6180/11272] Time 0.864 (0.823) Data 0.002 (0.002) Loss 2.5974 (2.5949) Prec@1 33.750 (36.977) Prec@5 68.125 (67.724) Epoch: [27][6190/11272] Time 0.832 (0.823) Data 0.001 (0.002) Loss 2.7351 (2.5950) Prec@1 36.875 (36.974) Prec@5 65.000 (67.723) Epoch: [27][6200/11272] Time 0.769 (0.823) Data 0.002 (0.002) Loss 2.5827 (2.5949) Prec@1 35.000 (36.974) Prec@5 66.875 (67.724) Epoch: [27][6210/11272] Time 0.896 (0.823) Data 0.001 (0.002) Loss 2.9209 (2.5950) Prec@1 33.750 (36.974) Prec@5 61.250 (67.722) Epoch: [27][6220/11272] Time 0.937 (0.823) Data 0.002 (0.002) Loss 2.5036 (2.5950) Prec@1 38.125 (36.973) Prec@5 72.500 (67.722) Epoch: [27][6230/11272] Time 0.791 (0.823) Data 0.001 (0.002) Loss 2.6347 (2.5951) Prec@1 36.250 (36.972) Prec@5 70.625 (67.722) Epoch: [27][6240/11272] Time 0.752 (0.823) Data 0.002 (0.002) Loss 2.7580 (2.5950) Prec@1 31.875 (36.971) Prec@5 66.875 (67.724) Epoch: [27][6250/11272] Time 0.842 (0.823) Data 0.001 (0.002) Loss 2.3886 (2.5950) Prec@1 37.500 (36.971) Prec@5 71.875 (67.723) Epoch: [27][6260/11272] Time 0.900 (0.823) Data 0.002 (0.002) Loss 2.3746 (2.5950) Prec@1 37.500 (36.971) Prec@5 68.750 (67.725) Epoch: [27][6270/11272] Time 0.742 (0.823) Data 0.001 (0.002) Loss 2.6917 (2.5951) Prec@1 35.625 (36.966) Prec@5 63.125 (67.723) Epoch: [27][6280/11272] Time 0.778 (0.823) Data 0.002 (0.002) Loss 2.6114 (2.5951) Prec@1 33.750 (36.968) Prec@5 68.750 (67.724) Epoch: [27][6290/11272] Time 0.858 (0.823) Data 0.001 (0.002) Loss 2.9335 (2.5951) Prec@1 32.500 (36.966) Prec@5 60.000 (67.722) Epoch: [27][6300/11272] Time 0.897 (0.823) Data 0.002 (0.002) Loss 2.5908 (2.5950) Prec@1 36.875 (36.967) Prec@5 66.250 (67.724) Epoch: [27][6310/11272] Time 0.731 (0.823) Data 0.001 (0.002) Loss 2.5088 (2.5950) Prec@1 38.750 (36.967) Prec@5 70.000 (67.724) Epoch: [27][6320/11272] Time 0.763 (0.823) Data 0.001 (0.002) Loss 2.6177 (2.5949) Prec@1 35.000 (36.969) Prec@5 67.500 (67.728) Epoch: [27][6330/11272] Time 0.860 (0.823) Data 0.001 (0.002) Loss 2.6929 (2.5949) Prec@1 34.375 (36.969) Prec@5 64.375 (67.728) Epoch: [27][6340/11272] Time 0.899 (0.823) Data 0.002 (0.002) Loss 2.7960 (2.5950) Prec@1 35.000 (36.968) Prec@5 62.500 (67.725) Epoch: [27][6350/11272] Time 0.740 (0.823) Data 0.002 (0.002) Loss 2.6856 (2.5950) Prec@1 34.375 (36.970) Prec@5 65.625 (67.727) Epoch: [27][6360/11272] Time 0.853 (0.823) Data 0.002 (0.002) Loss 2.8325 (2.5951) Prec@1 35.625 (36.970) Prec@5 61.250 (67.725) Epoch: [27][6370/11272] Time 0.895 (0.823) Data 0.002 (0.002) Loss 2.5052 (2.5950) Prec@1 40.625 (36.973) Prec@5 68.125 (67.726) Epoch: [27][6380/11272] Time 0.778 (0.823) Data 0.002 (0.002) Loss 2.7373 (2.5951) Prec@1 31.875 (36.972) Prec@5 66.875 (67.724) Epoch: [27][6390/11272] Time 0.774 (0.823) Data 0.002 (0.002) Loss 2.6855 (2.5950) Prec@1 37.500 (36.974) Prec@5 67.500 (67.726) Epoch: [27][6400/11272] Time 0.880 (0.823) Data 0.002 (0.002) Loss 2.7789 (2.5950) Prec@1 37.500 (36.977) Prec@5 62.500 (67.725) Epoch: [27][6410/11272] Time 0.880 (0.823) Data 0.001 (0.002) Loss 2.7798 (2.5950) Prec@1 33.125 (36.977) Prec@5 61.250 (67.726) Epoch: [27][6420/11272] Time 0.796 (0.823) Data 0.002 (0.002) Loss 2.5584 (2.5949) Prec@1 36.875 (36.980) Prec@5 69.375 (67.728) Epoch: [27][6430/11272] Time 0.730 (0.823) Data 0.002 (0.002) Loss 2.4734 (2.5950) Prec@1 40.000 (36.979) Prec@5 70.000 (67.729) Epoch: [27][6440/11272] Time 0.874 (0.823) Data 0.002 (0.002) Loss 2.5384 (2.5949) Prec@1 35.000 (36.977) Prec@5 68.750 (67.729) Epoch: [27][6450/11272] Time 0.867 (0.823) Data 0.002 (0.002) Loss 2.3748 (2.5948) Prec@1 40.625 (36.977) Prec@5 71.250 (67.731) Epoch: [27][6460/11272] Time 0.730 (0.823) Data 0.001 (0.002) Loss 2.4625 (2.5948) Prec@1 42.500 (36.978) Prec@5 68.750 (67.732) Epoch: [27][6470/11272] Time 0.748 (0.823) Data 0.002 (0.002) Loss 2.6715 (2.5949) Prec@1 37.500 (36.975) Prec@5 62.500 (67.732) Epoch: [27][6480/11272] Time 0.894 (0.823) Data 0.002 (0.002) Loss 2.4838 (2.5948) Prec@1 39.375 (36.976) Prec@5 70.000 (67.732) Epoch: [27][6490/11272] Time 0.752 (0.823) Data 0.001 (0.002) Loss 2.2720 (2.5948) Prec@1 46.250 (36.980) Prec@5 71.250 (67.734) Epoch: [27][6500/11272] Time 0.752 (0.823) Data 0.002 (0.002) Loss 2.7949 (2.5948) Prec@1 36.250 (36.979) Prec@5 68.750 (67.733) Epoch: [27][6510/11272] Time 0.838 (0.823) Data 0.001 (0.002) Loss 2.6395 (2.5950) Prec@1 36.875 (36.980) Prec@5 70.625 (67.731) Epoch: [27][6520/11272] Time 0.926 (0.823) Data 0.002 (0.002) Loss 2.5224 (2.5951) Prec@1 34.375 (36.980) Prec@5 70.625 (67.728) Epoch: [27][6530/11272] Time 0.734 (0.823) Data 0.001 (0.002) Loss 2.9103 (2.5950) Prec@1 28.125 (36.982) Prec@5 65.625 (67.730) Epoch: [27][6540/11272] Time 0.787 (0.823) Data 0.002 (0.002) Loss 2.7038 (2.5950) Prec@1 31.250 (36.981) Prec@5 66.875 (67.731) Epoch: [27][6550/11272] Time 0.865 (0.823) Data 0.002 (0.002) Loss 2.4956 (2.5950) Prec@1 36.250 (36.982) Prec@5 73.125 (67.730) Epoch: [27][6560/11272] Time 0.891 (0.823) Data 0.002 (0.002) Loss 2.7840 (2.5950) Prec@1 36.875 (36.980) Prec@5 63.125 (67.731) Epoch: [27][6570/11272] Time 0.735 (0.822) Data 0.002 (0.002) Loss 2.7082 (2.5951) Prec@1 38.750 (36.978) Prec@5 68.125 (67.731) Epoch: [27][6580/11272] Time 0.778 (0.823) Data 0.002 (0.002) Loss 2.9366 (2.5952) Prec@1 31.875 (36.979) Prec@5 68.750 (67.732) Epoch: [27][6590/11272] Time 0.872 (0.822) Data 0.001 (0.002) Loss 2.6499 (2.5951) Prec@1 38.750 (36.981) Prec@5 66.875 (67.732) Epoch: [27][6600/11272] Time 0.912 (0.822) Data 0.002 (0.002) Loss 2.5073 (2.5950) Prec@1 35.000 (36.982) Prec@5 68.125 (67.735) Epoch: [27][6610/11272] Time 0.744 (0.822) Data 0.001 (0.002) Loss 2.5511 (2.5951) Prec@1 40.625 (36.981) Prec@5 70.000 (67.734) Epoch: [27][6620/11272] Time 0.819 (0.822) Data 0.001 (0.002) Loss 2.5984 (2.5951) Prec@1 33.125 (36.981) Prec@5 68.125 (67.734) Epoch: [27][6630/11272] Time 0.815 (0.822) Data 0.001 (0.002) Loss 2.9207 (2.5951) Prec@1 31.875 (36.984) Prec@5 64.375 (67.735) Epoch: [27][6640/11272] Time 0.790 (0.822) Data 0.002 (0.002) Loss 2.6121 (2.5952) Prec@1 38.750 (36.982) Prec@5 69.375 (67.734) Epoch: [27][6650/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.7600 (2.5953) Prec@1 32.500 (36.981) Prec@5 63.750 (67.731) Epoch: [27][6660/11272] Time 0.865 (0.822) Data 0.001 (0.002) Loss 2.8196 (2.5954) Prec@1 31.875 (36.979) Prec@5 56.875 (67.726) Epoch: [27][6670/11272] Time 0.828 (0.822) Data 0.001 (0.002) Loss 2.6234 (2.5954) Prec@1 30.625 (36.978) Prec@5 68.750 (67.724) Epoch: [27][6680/11272] Time 0.774 (0.822) Data 0.001 (0.002) Loss 2.4174 (2.5952) Prec@1 42.500 (36.982) Prec@5 71.250 (67.726) Epoch: [27][6690/11272] Time 0.779 (0.822) Data 0.001 (0.002) Loss 2.9510 (2.5952) Prec@1 31.875 (36.981) Prec@5 61.875 (67.726) Epoch: [27][6700/11272] Time 0.901 (0.822) Data 0.002 (0.002) Loss 2.5380 (2.5951) Prec@1 40.000 (36.983) Prec@5 66.875 (67.728) Epoch: [27][6710/11272] Time 0.837 (0.822) Data 0.001 (0.002) Loss 2.5641 (2.5950) Prec@1 38.750 (36.984) Prec@5 68.125 (67.728) Epoch: [27][6720/11272] Time 0.795 (0.822) Data 0.002 (0.002) Loss 2.8655 (2.5950) Prec@1 32.500 (36.982) Prec@5 59.375 (67.728) Epoch: [27][6730/11272] Time 0.776 (0.822) Data 0.002 (0.002) Loss 2.5997 (2.5949) Prec@1 37.500 (36.983) Prec@5 71.250 (67.730) Epoch: [27][6740/11272] Time 0.916 (0.822) Data 0.002 (0.002) Loss 2.4990 (2.5949) Prec@1 38.750 (36.983) Prec@5 71.250 (67.731) Epoch: [27][6750/11272] Time 0.771 (0.822) Data 0.003 (0.002) Loss 2.6457 (2.5950) Prec@1 40.000 (36.979) Prec@5 68.750 (67.731) Epoch: [27][6760/11272] Time 0.778 (0.822) Data 0.002 (0.002) Loss 2.5069 (2.5950) Prec@1 41.875 (36.981) Prec@5 68.750 (67.730) Epoch: [27][6770/11272] Time 0.853 (0.822) Data 0.002 (0.002) Loss 2.5501 (2.5950) Prec@1 33.125 (36.982) Prec@5 69.375 (67.731) Epoch: [27][6780/11272] Time 0.890 (0.822) Data 0.002 (0.002) Loss 2.5761 (2.5949) Prec@1 36.250 (36.984) Prec@5 70.000 (67.731) Epoch: [27][6790/11272] Time 0.732 (0.822) Data 0.002 (0.002) Loss 2.7819 (2.5950) Prec@1 30.625 (36.983) Prec@5 61.250 (67.731) Epoch: [27][6800/11272] Time 0.756 (0.822) Data 0.002 (0.002) Loss 2.5995 (2.5950) Prec@1 36.875 (36.980) Prec@5 68.750 (67.730) Epoch: [27][6810/11272] Time 0.915 (0.822) Data 0.002 (0.002) Loss 2.9221 (2.5951) Prec@1 31.250 (36.979) Prec@5 62.500 (67.730) Epoch: [27][6820/11272] Time 0.891 (0.822) Data 0.002 (0.002) Loss 3.0151 (2.5951) Prec@1 33.750 (36.978) Prec@5 58.125 (67.728) Epoch: [27][6830/11272] Time 0.739 (0.822) Data 0.001 (0.002) Loss 2.3023 (2.5950) Prec@1 42.500 (36.979) Prec@5 76.250 (67.732) Epoch: [27][6840/11272] Time 0.767 (0.822) Data 0.002 (0.002) Loss 2.5859 (2.5950) Prec@1 35.000 (36.981) Prec@5 66.250 (67.731) Epoch: [27][6850/11272] Time 0.823 (0.822) Data 0.001 (0.002) Loss 2.5805 (2.5949) Prec@1 33.125 (36.980) Prec@5 70.000 (67.732) Epoch: [27][6860/11272] Time 0.865 (0.822) Data 0.003 (0.002) Loss 2.7079 (2.5949) Prec@1 32.500 (36.980) Prec@5 62.500 (67.733) Epoch: [27][6870/11272] Time 0.800 (0.822) Data 0.002 (0.002) Loss 2.3880 (2.5948) Prec@1 38.125 (36.981) Prec@5 71.250 (67.735) Epoch: [27][6880/11272] Time 0.828 (0.822) Data 0.001 (0.002) Loss 2.8037 (2.5948) Prec@1 33.125 (36.978) Prec@5 63.750 (67.735) Epoch: [27][6890/11272] Time 0.874 (0.822) Data 0.002 (0.002) Loss 2.6413 (2.5947) Prec@1 35.625 (36.979) Prec@5 67.500 (67.737) Epoch: [27][6900/11272] Time 0.728 (0.822) Data 0.002 (0.002) Loss 2.4553 (2.5948) Prec@1 38.750 (36.979) Prec@5 69.375 (67.737) Epoch: [27][6910/11272] Time 0.736 (0.822) Data 0.001 (0.002) Loss 2.5580 (2.5948) Prec@1 33.125 (36.977) Prec@5 70.625 (67.738) Epoch: [27][6920/11272] Time 0.840 (0.822) Data 0.001 (0.002) Loss 2.8498 (2.5948) Prec@1 32.500 (36.978) Prec@5 68.125 (67.738) Epoch: [27][6930/11272] Time 0.837 (0.822) Data 0.002 (0.002) Loss 2.5953 (2.5949) Prec@1 35.625 (36.974) Prec@5 71.250 (67.736) Epoch: [27][6940/11272] Time 0.775 (0.822) Data 0.001 (0.002) Loss 2.6783 (2.5950) Prec@1 37.500 (36.973) Prec@5 66.875 (67.734) Epoch: [27][6950/11272] Time 0.729 (0.822) Data 0.002 (0.002) Loss 2.6902 (2.5949) Prec@1 31.875 (36.973) Prec@5 63.125 (67.733) Epoch: [27][6960/11272] Time 0.904 (0.822) Data 0.001 (0.002) Loss 2.5008 (2.5949) Prec@1 38.125 (36.972) Prec@5 68.125 (67.734) Epoch: [27][6970/11272] Time 0.854 (0.822) Data 0.002 (0.002) Loss 2.7818 (2.5949) Prec@1 33.750 (36.972) Prec@5 62.500 (67.731) Epoch: [27][6980/11272] Time 0.758 (0.822) Data 0.002 (0.002) Loss 2.4505 (2.5948) Prec@1 36.250 (36.972) Prec@5 68.125 (67.732) Epoch: [27][6990/11272] Time 0.724 (0.822) Data 0.001 (0.002) Loss 2.7024 (2.5949) Prec@1 36.875 (36.971) Prec@5 68.125 (67.731) Epoch: [27][7000/11272] Time 0.875 (0.822) Data 0.002 (0.002) Loss 2.5821 (2.5949) Prec@1 36.875 (36.974) Prec@5 71.250 (67.731) Epoch: [27][7010/11272] Time 0.746 (0.822) Data 0.003 (0.002) Loss 2.7301 (2.5950) Prec@1 32.500 (36.971) Prec@5 65.000 (67.729) Epoch: [27][7020/11272] Time 0.791 (0.822) Data 0.002 (0.002) Loss 2.4877 (2.5949) Prec@1 38.750 (36.974) Prec@5 71.250 (67.732) Epoch: [27][7030/11272] Time 0.825 (0.822) Data 0.001 (0.002) Loss 2.6413 (2.5950) Prec@1 34.375 (36.973) Prec@5 66.875 (67.732) Epoch: [27][7040/11272] Time 0.877 (0.822) Data 0.002 (0.002) Loss 2.5013 (2.5949) Prec@1 35.625 (36.975) Prec@5 65.625 (67.732) Epoch: [27][7050/11272] Time 0.720 (0.822) Data 0.002 (0.002) Loss 2.3452 (2.5947) Prec@1 40.000 (36.977) Prec@5 69.375 (67.736) Epoch: [27][7060/11272] Time 0.783 (0.822) Data 0.002 (0.002) Loss 2.2495 (2.5947) Prec@1 46.250 (36.981) Prec@5 71.875 (67.736) Epoch: [27][7070/11272] Time 0.845 (0.822) Data 0.001 (0.002) Loss 2.6127 (2.5947) Prec@1 41.875 (36.980) Prec@5 67.500 (67.735) Epoch: [27][7080/11272] Time 0.899 (0.822) Data 0.002 (0.002) Loss 2.6805 (2.5946) Prec@1 33.750 (36.981) Prec@5 63.125 (67.738) Epoch: [27][7090/11272] Time 0.738 (0.822) Data 0.001 (0.002) Loss 2.2847 (2.5946) Prec@1 40.625 (36.980) Prec@5 71.875 (67.738) Epoch: [27][7100/11272] Time 0.753 (0.822) Data 0.002 (0.002) Loss 2.5748 (2.5947) Prec@1 36.250 (36.979) Prec@5 66.875 (67.738) Epoch: [27][7110/11272] Time 0.846 (0.822) Data 0.002 (0.002) Loss 2.6531 (2.5947) Prec@1 33.125 (36.979) Prec@5 65.000 (67.738) Epoch: [27][7120/11272] Time 0.824 (0.822) Data 0.002 (0.002) Loss 2.6307 (2.5947) Prec@1 36.250 (36.978) Prec@5 67.500 (67.737) Epoch: [27][7130/11272] Time 0.730 (0.822) Data 0.001 (0.002) Loss 2.4013 (2.5946) Prec@1 35.000 (36.981) Prec@5 68.750 (67.738) Epoch: [27][7140/11272] Time 0.879 (0.822) Data 0.002 (0.002) Loss 2.6649 (2.5945) Prec@1 33.750 (36.980) Prec@5 65.625 (67.739) Epoch: [27][7150/11272] Time 0.846 (0.822) Data 0.001 (0.002) Loss 2.6596 (2.5945) Prec@1 35.000 (36.980) Prec@5 65.625 (67.739) Epoch: [27][7160/11272] Time 0.768 (0.822) Data 0.002 (0.002) Loss 2.6334 (2.5946) Prec@1 39.375 (36.978) Prec@5 67.500 (67.736) Epoch: [27][7170/11272] Time 0.731 (0.822) Data 0.001 (0.002) Loss 2.6996 (2.5946) Prec@1 36.250 (36.977) Prec@5 66.250 (67.734) Epoch: [27][7180/11272] Time 0.857 (0.822) Data 0.002 (0.002) Loss 2.5385 (2.5946) Prec@1 35.625 (36.979) Prec@5 67.500 (67.735) Epoch: [27][7190/11272] Time 0.868 (0.822) Data 0.002 (0.002) Loss 2.4888 (2.5947) Prec@1 36.250 (36.977) Prec@5 68.125 (67.733) Epoch: [27][7200/11272] Time 0.750 (0.822) Data 0.002 (0.002) Loss 2.4083 (2.5947) Prec@1 43.125 (36.978) Prec@5 68.750 (67.733) Epoch: [27][7210/11272] Time 0.753 (0.822) Data 0.002 (0.002) Loss 2.6968 (2.5947) Prec@1 38.125 (36.979) Prec@5 66.250 (67.730) Epoch: [27][7220/11272] Time 0.845 (0.822) Data 0.001 (0.002) Loss 2.7340 (2.5948) Prec@1 36.250 (36.977) Prec@5 66.875 (67.729) Epoch: [27][7230/11272] Time 0.913 (0.822) Data 0.002 (0.002) Loss 2.6004 (2.5950) Prec@1 38.125 (36.975) Prec@5 71.250 (67.728) Epoch: [27][7240/11272] Time 0.752 (0.822) Data 0.002 (0.002) Loss 2.7666 (2.5950) Prec@1 30.000 (36.977) Prec@5 64.375 (67.728) Epoch: [27][7250/11272] Time 0.812 (0.822) Data 0.002 (0.002) Loss 2.4814 (2.5950) Prec@1 38.750 (36.976) Prec@5 71.875 (67.728) Epoch: [27][7260/11272] Time 0.867 (0.822) Data 0.002 (0.002) Loss 2.6207 (2.5949) Prec@1 36.875 (36.980) Prec@5 66.875 (67.728) Epoch: [27][7270/11272] Time 0.902 (0.822) Data 0.001 (0.002) Loss 2.8646 (2.5950) Prec@1 33.125 (36.979) Prec@5 63.750 (67.727) Epoch: [27][7280/11272] Time 0.783 (0.822) Data 0.001 (0.002) Loss 2.7292 (2.5950) Prec@1 37.500 (36.980) Prec@5 65.625 (67.727) Epoch: [27][7290/11272] Time 0.950 (0.822) Data 0.001 (0.002) Loss 2.4260 (2.5949) Prec@1 41.250 (36.981) Prec@5 72.500 (67.727) Epoch: [27][7300/11272] Time 0.865 (0.822) Data 0.002 (0.002) Loss 2.6505 (2.5948) Prec@1 38.125 (36.985) Prec@5 61.875 (67.729) Epoch: [27][7310/11272] Time 0.744 (0.822) Data 0.002 (0.002) Loss 2.9314 (2.5948) Prec@1 32.500 (36.987) Prec@5 60.625 (67.729) Epoch: [27][7320/11272] Time 0.759 (0.822) Data 0.002 (0.002) Loss 2.5841 (2.5948) Prec@1 32.500 (36.985) Prec@5 69.375 (67.728) Epoch: [27][7330/11272] Time 0.887 (0.822) Data 0.002 (0.002) Loss 2.6948 (2.5949) Prec@1 35.000 (36.984) Prec@5 65.625 (67.729) Epoch: [27][7340/11272] Time 0.845 (0.822) Data 0.002 (0.002) Loss 2.8919 (2.5949) Prec@1 34.375 (36.982) Prec@5 61.250 (67.727) Epoch: [27][7350/11272] Time 0.786 (0.822) Data 0.002 (0.002) Loss 2.5887 (2.5949) Prec@1 40.000 (36.984) Prec@5 68.125 (67.729) Epoch: [27][7360/11272] Time 0.764 (0.822) Data 0.002 (0.002) Loss 2.9717 (2.5949) Prec@1 28.125 (36.985) Prec@5 58.125 (67.727) Epoch: [27][7370/11272] Time 0.842 (0.822) Data 0.002 (0.002) Loss 2.6962 (2.5950) Prec@1 31.875 (36.982) Prec@5 62.500 (67.725) Epoch: [27][7380/11272] Time 0.854 (0.822) Data 0.001 (0.002) Loss 2.5259 (2.5950) Prec@1 40.625 (36.984) Prec@5 73.125 (67.727) Epoch: [27][7390/11272] Time 0.760 (0.822) Data 0.002 (0.002) Loss 2.5930 (2.5949) Prec@1 35.625 (36.984) Prec@5 68.750 (67.730) Epoch: [27][7400/11272] Time 0.740 (0.822) Data 0.002 (0.002) Loss 2.5012 (2.5949) Prec@1 34.375 (36.985) Prec@5 70.000 (67.730) Epoch: [27][7410/11272] Time 0.860 (0.821) Data 0.001 (0.002) Loss 2.4990 (2.5948) Prec@1 36.250 (36.985) Prec@5 69.375 (67.731) Epoch: [27][7420/11272] Time 0.768 (0.821) Data 0.002 (0.002) Loss 2.5994 (2.5948) Prec@1 43.125 (36.986) Prec@5 65.625 (67.731) Epoch: [27][7430/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.2073 (2.5948) Prec@1 50.000 (36.986) Prec@5 73.125 (67.732) Epoch: [27][7440/11272] Time 0.846 (0.821) Data 0.002 (0.002) Loss 2.5815 (2.5949) Prec@1 38.125 (36.982) Prec@5 69.375 (67.733) Epoch: [27][7450/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.7116 (2.5950) Prec@1 33.125 (36.980) Prec@5 66.875 (67.732) Epoch: [27][7460/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.4606 (2.5949) Prec@1 38.750 (36.981) Prec@5 71.250 (67.735) Epoch: [27][7470/11272] Time 0.742 (0.821) Data 0.001 (0.002) Loss 2.6845 (2.5950) Prec@1 33.750 (36.980) Prec@5 67.500 (67.732) Epoch: [27][7480/11272] Time 0.900 (0.821) Data 0.002 (0.002) Loss 2.7239 (2.5950) Prec@1 35.625 (36.980) Prec@5 65.625 (67.732) Epoch: [27][7490/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.4255 (2.5950) Prec@1 40.625 (36.980) Prec@5 71.875 (67.732) Epoch: [27][7500/11272] Time 0.746 (0.821) Data 0.002 (0.002) Loss 2.5857 (2.5950) Prec@1 33.125 (36.979) Prec@5 70.625 (67.734) Epoch: [27][7510/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.6754 (2.5950) Prec@1 38.125 (36.981) Prec@5 68.750 (67.734) Epoch: [27][7520/11272] Time 0.854 (0.821) Data 0.002 (0.002) Loss 2.5674 (2.5949) Prec@1 36.875 (36.981) Prec@5 64.375 (67.735) Epoch: [27][7530/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.8002 (2.5949) Prec@1 35.000 (36.981) Prec@5 63.750 (67.735) Epoch: [27][7540/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.3045 (2.5949) Prec@1 40.000 (36.982) Prec@5 71.875 (67.734) Epoch: [27][7550/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.5320 (2.5950) Prec@1 39.375 (36.979) Prec@5 73.125 (67.734) Epoch: [27][7560/11272] Time 0.834 (0.821) Data 0.001 (0.002) Loss 2.2626 (2.5950) Prec@1 46.875 (36.980) Prec@5 71.250 (67.735) Epoch: [27][7570/11272] Time 0.742 (0.821) Data 0.001 (0.002) Loss 2.5823 (2.5950) Prec@1 36.250 (36.981) Prec@5 68.125 (67.736) Epoch: [27][7580/11272] Time 0.760 (0.821) Data 0.002 (0.002) Loss 2.4264 (2.5951) Prec@1 40.625 (36.978) Prec@5 73.125 (67.735) Epoch: [27][7590/11272] Time 0.842 (0.821) Data 0.002 (0.002) Loss 2.5418 (2.5950) Prec@1 36.875 (36.979) Prec@5 66.875 (67.733) Epoch: [27][7600/11272] Time 0.942 (0.821) Data 0.002 (0.002) Loss 2.5572 (2.5949) Prec@1 31.875 (36.979) Prec@5 68.125 (67.736) Epoch: [27][7610/11272] Time 0.750 (0.821) Data 0.002 (0.002) Loss 2.5284 (2.5950) Prec@1 37.500 (36.977) Prec@5 68.750 (67.735) Epoch: [27][7620/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.7125 (2.5950) Prec@1 35.625 (36.978) Prec@5 62.500 (67.734) Epoch: [27][7630/11272] Time 0.886 (0.821) Data 0.002 (0.002) Loss 2.6747 (2.5951) Prec@1 36.250 (36.978) Prec@5 62.500 (67.732) Epoch: [27][7640/11272] Time 0.875 (0.821) Data 0.002 (0.002) Loss 2.8322 (2.5951) Prec@1 36.875 (36.978) Prec@5 62.500 (67.731) Epoch: [27][7650/11272] Time 0.740 (0.821) Data 0.001 (0.002) Loss 2.7604 (2.5951) Prec@1 35.000 (36.979) Prec@5 59.375 (67.729) Epoch: [27][7660/11272] Time 0.787 (0.821) Data 0.002 (0.002) Loss 2.7934 (2.5953) Prec@1 31.875 (36.975) Prec@5 66.250 (67.724) Epoch: [27][7670/11272] Time 0.895 (0.821) Data 0.002 (0.002) Loss 2.5792 (2.5954) Prec@1 36.875 (36.974) Prec@5 66.875 (67.724) Epoch: [27][7680/11272] Time 0.761 (0.821) Data 0.004 (0.002) Loss 2.4989 (2.5954) Prec@1 36.250 (36.969) Prec@5 72.500 (67.724) Epoch: [27][7690/11272] Time 0.785 (0.821) Data 0.002 (0.002) Loss 2.5964 (2.5955) Prec@1 34.375 (36.967) Prec@5 68.750 (67.722) Epoch: [27][7700/11272] Time 0.836 (0.821) Data 0.002 (0.002) Loss 2.6049 (2.5956) Prec@1 34.375 (36.967) Prec@5 69.375 (67.722) Epoch: [27][7710/11272] Time 0.914 (0.821) Data 0.002 (0.002) Loss 2.6447 (2.5956) Prec@1 36.250 (36.963) Prec@5 70.000 (67.721) Epoch: [27][7720/11272] Time 0.796 (0.821) Data 0.002 (0.002) Loss 2.6978 (2.5957) Prec@1 36.250 (36.962) Prec@5 63.125 (67.720) Epoch: [27][7730/11272] Time 0.823 (0.821) Data 0.002 (0.002) Loss 2.5169 (2.5956) Prec@1 36.875 (36.962) Prec@5 69.375 (67.721) Epoch: [27][7740/11272] Time 0.852 (0.821) Data 0.002 (0.002) Loss 2.4517 (2.5956) Prec@1 39.375 (36.963) Prec@5 71.875 (67.720) Epoch: [27][7750/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.6928 (2.5955) Prec@1 36.250 (36.967) Prec@5 66.250 (67.722) Epoch: [27][7760/11272] Time 0.780 (0.821) Data 0.002 (0.002) Loss 2.6106 (2.5955) Prec@1 37.500 (36.967) Prec@5 68.750 (67.722) Epoch: [27][7770/11272] Time 0.769 (0.821) Data 0.002 (0.002) Loss 2.6701 (2.5956) Prec@1 35.000 (36.966) Prec@5 61.250 (67.720) Epoch: [27][7780/11272] Time 0.914 (0.821) Data 0.002 (0.002) Loss 2.5956 (2.5956) Prec@1 38.125 (36.966) Prec@5 66.250 (67.719) Epoch: [27][7790/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.4386 (2.5956) Prec@1 36.250 (36.967) Prec@5 69.375 (67.721) Epoch: [27][7800/11272] Time 0.756 (0.821) Data 0.003 (0.002) Loss 2.6591 (2.5957) Prec@1 32.500 (36.963) Prec@5 70.000 (67.719) Epoch: [27][7810/11272] Time 0.907 (0.821) Data 0.002 (0.002) Loss 2.5458 (2.5957) Prec@1 41.250 (36.965) Prec@5 70.000 (67.719) Epoch: [27][7820/11272] Time 0.877 (0.821) Data 0.002 (0.002) Loss 2.5108 (2.5958) Prec@1 37.500 (36.964) Prec@5 68.125 (67.717) Epoch: [27][7830/11272] Time 0.737 (0.821) Data 0.001 (0.002) Loss 2.3685 (2.5958) Prec@1 41.875 (36.964) Prec@5 71.250 (67.717) Epoch: [27][7840/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.5215 (2.5957) Prec@1 37.500 (36.965) Prec@5 72.500 (67.717) Epoch: [27][7850/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.8947 (2.5956) Prec@1 31.875 (36.964) Prec@5 58.750 (67.717) Epoch: [27][7860/11272] Time 0.837 (0.821) Data 0.002 (0.002) Loss 2.6597 (2.5956) Prec@1 38.750 (36.966) Prec@5 65.000 (67.718) Epoch: [27][7870/11272] Time 0.760 (0.821) Data 0.002 (0.002) Loss 2.7510 (2.5957) Prec@1 37.500 (36.966) Prec@5 65.000 (67.717) Epoch: [27][7880/11272] Time 0.751 (0.821) Data 0.001 (0.002) Loss 2.7558 (2.5957) Prec@1 35.625 (36.966) Prec@5 61.250 (67.718) Epoch: [27][7890/11272] Time 0.869 (0.821) Data 0.001 (0.002) Loss 2.8620 (2.5957) Prec@1 30.000 (36.964) Prec@5 64.375 (67.717) Epoch: [27][7900/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.5311 (2.5957) Prec@1 42.500 (36.964) Prec@5 71.875 (67.717) Epoch: [27][7910/11272] Time 0.735 (0.821) Data 0.002 (0.002) Loss 2.6500 (2.5957) Prec@1 41.875 (36.964) Prec@5 66.250 (67.716) Epoch: [27][7920/11272] Time 0.743 (0.821) Data 0.002 (0.002) Loss 2.6723 (2.5957) Prec@1 35.000 (36.966) Prec@5 64.375 (67.715) Epoch: [27][7930/11272] Time 0.857 (0.821) Data 0.001 (0.002) Loss 2.4855 (2.5957) Prec@1 35.000 (36.964) Prec@5 74.375 (67.713) Epoch: [27][7940/11272] Time 0.775 (0.821) Data 0.004 (0.002) Loss 2.8908 (2.5957) Prec@1 36.250 (36.966) Prec@5 60.000 (67.713) Epoch: [27][7950/11272] Time 0.817 (0.821) Data 0.001 (0.002) Loss 2.8737 (2.5957) Prec@1 33.125 (36.967) Prec@5 61.250 (67.713) Epoch: [27][7960/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.6172 (2.5956) Prec@1 33.750 (36.969) Prec@5 64.375 (67.713) Epoch: [27][7970/11272] Time 0.868 (0.821) Data 0.001 (0.002) Loss 2.4998 (2.5956) Prec@1 40.625 (36.967) Prec@5 67.500 (67.712) Epoch: [27][7980/11272] Time 0.769 (0.821) Data 0.001 (0.002) Loss 2.5794 (2.5958) Prec@1 38.750 (36.963) Prec@5 66.250 (67.709) Epoch: [27][7990/11272] Time 0.768 (0.821) Data 0.001 (0.002) Loss 2.4400 (2.5958) Prec@1 36.875 (36.962) Prec@5 67.500 (67.709) Epoch: [27][8000/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.2576 (2.5958) Prec@1 45.000 (36.959) Prec@5 78.125 (67.708) Epoch: [27][8010/11272] Time 0.823 (0.821) Data 0.001 (0.002) Loss 2.6834 (2.5958) Prec@1 33.125 (36.960) Prec@5 65.000 (67.708) Epoch: [27][8020/11272] Time 0.740 (0.821) Data 0.002 (0.002) Loss 2.9490 (2.5958) Prec@1 28.125 (36.961) Prec@5 60.625 (67.707) Epoch: [27][8030/11272] Time 0.739 (0.821) Data 0.001 (0.002) Loss 2.6457 (2.5959) Prec@1 38.750 (36.962) Prec@5 61.875 (67.706) Epoch: [27][8040/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.4024 (2.5959) Prec@1 43.750 (36.960) Prec@5 71.875 (67.704) Epoch: [27][8050/11272] Time 0.846 (0.821) Data 0.001 (0.002) Loss 2.6089 (2.5959) Prec@1 37.500 (36.959) Prec@5 66.875 (67.705) Epoch: [27][8060/11272] Time 0.777 (0.821) Data 0.002 (0.002) Loss 2.4710 (2.5959) Prec@1 40.625 (36.959) Prec@5 71.250 (67.705) Epoch: [27][8070/11272] Time 0.910 (0.821) Data 0.001 (0.002) Loss 2.6086 (2.5959) Prec@1 36.875 (36.959) Prec@5 62.500 (67.705) Epoch: [27][8080/11272] Time 0.874 (0.821) Data 0.003 (0.002) Loss 2.5632 (2.5958) Prec@1 32.500 (36.961) Prec@5 70.000 (67.705) Epoch: [27][8090/11272] Time 0.776 (0.821) Data 0.001 (0.002) Loss 2.4203 (2.5958) Prec@1 41.250 (36.960) Prec@5 68.750 (67.704) Epoch: [27][8100/11272] Time 0.747 (0.821) Data 0.002 (0.002) Loss 2.6676 (2.5959) Prec@1 34.375 (36.961) Prec@5 64.375 (67.705) Epoch: [27][8110/11272] Time 0.840 (0.821) Data 0.001 (0.002) Loss 2.3857 (2.5959) Prec@1 46.250 (36.961) Prec@5 68.125 (67.705) Epoch: [27][8120/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.4178 (2.5959) Prec@1 38.125 (36.960) Prec@5 71.250 (67.705) Epoch: [27][8130/11272] Time 0.770 (0.821) Data 0.001 (0.002) Loss 2.4086 (2.5958) Prec@1 40.000 (36.962) Prec@5 68.125 (67.705) Epoch: [27][8140/11272] Time 0.751 (0.821) Data 0.001 (0.002) Loss 2.4205 (2.5958) Prec@1 42.500 (36.961) Prec@5 70.000 (67.705) Epoch: [27][8150/11272] Time 0.889 (0.821) Data 0.002 (0.002) Loss 2.5974 (2.5957) Prec@1 36.875 (36.962) Prec@5 66.250 (67.706) Epoch: [27][8160/11272] Time 0.909 (0.821) Data 0.002 (0.002) Loss 2.5318 (2.5958) Prec@1 37.500 (36.962) Prec@5 68.125 (67.706) Epoch: [27][8170/11272] Time 0.808 (0.821) Data 0.001 (0.002) Loss 2.4088 (2.5957) Prec@1 43.750 (36.964) Prec@5 71.875 (67.708) Epoch: [27][8180/11272] Time 0.752 (0.821) Data 0.002 (0.002) Loss 2.5696 (2.5958) Prec@1 35.625 (36.964) Prec@5 69.375 (67.708) Epoch: [27][8190/11272] Time 0.823 (0.821) Data 0.001 (0.002) Loss 2.2941 (2.5957) Prec@1 43.125 (36.966) Prec@5 71.250 (67.710) Epoch: [27][8200/11272] Time 0.858 (0.821) Data 0.002 (0.002) Loss 2.4934 (2.5957) Prec@1 36.250 (36.966) Prec@5 72.500 (67.711) Epoch: [27][8210/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.8523 (2.5957) Prec@1 31.875 (36.967) Prec@5 64.375 (67.710) Epoch: [27][8220/11272] Time 0.884 (0.821) Data 0.001 (0.002) Loss 2.7016 (2.5957) Prec@1 33.750 (36.970) Prec@5 65.000 (67.710) Epoch: [27][8230/11272] Time 0.873 (0.821) Data 0.001 (0.002) Loss 2.3507 (2.5957) Prec@1 38.125 (36.970) Prec@5 71.875 (67.710) Epoch: [27][8240/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.5262 (2.5956) Prec@1 38.750 (36.970) Prec@5 66.250 (67.711) Epoch: [27][8250/11272] Time 0.741 (0.821) Data 0.001 (0.002) Loss 3.0668 (2.5956) Prec@1 31.875 (36.972) Prec@5 59.375 (67.711) Epoch: [27][8260/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.5646 (2.5956) Prec@1 41.250 (36.972) Prec@5 69.375 (67.713) Epoch: [27][8270/11272] Time 0.889 (0.821) Data 0.001 (0.002) Loss 2.8813 (2.5955) Prec@1 33.125 (36.971) Prec@5 63.125 (67.716) Epoch: [27][8280/11272] Time 0.733 (0.821) Data 0.002 (0.002) Loss 2.6746 (2.5955) Prec@1 36.250 (36.970) Prec@5 67.500 (67.714) Epoch: [27][8290/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.8909 (2.5956) Prec@1 26.250 (36.968) Prec@5 63.125 (67.714) Epoch: [27][8300/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.7450 (2.5956) Prec@1 36.250 (36.970) Prec@5 67.500 (67.714) Epoch: [27][8310/11272] Time 0.866 (0.821) Data 0.001 (0.002) Loss 2.7481 (2.5955) Prec@1 33.125 (36.971) Prec@5 63.750 (67.715) Epoch: [27][8320/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.6913 (2.5955) Prec@1 35.000 (36.970) Prec@5 64.375 (67.715) Epoch: [27][8330/11272] Time 0.737 (0.821) Data 0.001 (0.002) Loss 2.3363 (2.5955) Prec@1 40.625 (36.971) Prec@5 70.625 (67.714) Epoch: [27][8340/11272] Time 0.826 (0.821) Data 0.002 (0.002) Loss 2.3765 (2.5954) Prec@1 36.875 (36.972) Prec@5 71.250 (67.715) Epoch: [27][8350/11272] Time 0.786 (0.821) Data 0.001 (0.002) Loss 2.6707 (2.5955) Prec@1 33.125 (36.971) Prec@5 66.250 (67.714) Epoch: [27][8360/11272] Time 0.766 (0.821) Data 0.002 (0.002) Loss 2.4615 (2.5955) Prec@1 38.750 (36.971) Prec@5 70.625 (67.715) Epoch: [27][8370/11272] Time 0.874 (0.821) Data 0.001 (0.002) Loss 2.6489 (2.5954) Prec@1 38.750 (36.973) Prec@5 63.125 (67.716) Epoch: [27][8380/11272] Time 0.882 (0.821) Data 0.002 (0.002) Loss 2.5332 (2.5954) Prec@1 40.000 (36.974) Prec@5 70.625 (67.716) Epoch: [27][8390/11272] Time 0.752 (0.821) Data 0.001 (0.002) Loss 2.5263 (2.5954) Prec@1 36.250 (36.974) Prec@5 69.375 (67.718) Epoch: [27][8400/11272] Time 0.743 (0.821) Data 0.002 (0.002) Loss 2.6282 (2.5954) Prec@1 39.375 (36.974) Prec@5 62.500 (67.716) Epoch: [27][8410/11272] Time 0.842 (0.821) Data 0.002 (0.002) Loss 2.3530 (2.5955) Prec@1 39.375 (36.972) Prec@5 75.000 (67.717) Epoch: [27][8420/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.7412 (2.5954) Prec@1 35.625 (36.973) Prec@5 63.750 (67.715) Epoch: [27][8430/11272] Time 0.727 (0.821) Data 0.002 (0.002) Loss 2.6874 (2.5955) Prec@1 33.750 (36.973) Prec@5 65.625 (67.717) Epoch: [27][8440/11272] Time 0.759 (0.821) Data 0.002 (0.002) Loss 2.6556 (2.5954) Prec@1 35.000 (36.973) Prec@5 63.125 (67.718) Epoch: [27][8450/11272] Time 0.869 (0.821) Data 0.001 (0.002) Loss 2.5263 (2.5954) Prec@1 40.000 (36.975) Prec@5 67.500 (67.718) Epoch: [27][8460/11272] Time 0.896 (0.821) Data 0.002 (0.002) Loss 2.6278 (2.5954) Prec@1 35.625 (36.977) Prec@5 66.875 (67.718) Epoch: [27][8470/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.4428 (2.5954) Prec@1 45.000 (36.977) Prec@5 66.250 (67.717) Epoch: [27][8480/11272] Time 0.825 (0.821) Data 0.001 (0.002) Loss 2.3157 (2.5954) Prec@1 42.500 (36.977) Prec@5 73.125 (67.716) Epoch: [27][8490/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.6824 (2.5955) Prec@1 36.250 (36.974) Prec@5 66.250 (67.715) Epoch: [27][8500/11272] Time 0.759 (0.821) Data 0.002 (0.002) Loss 2.6996 (2.5955) Prec@1 40.000 (36.974) Prec@5 63.125 (67.713) Epoch: [27][8510/11272] Time 0.791 (0.821) Data 0.002 (0.002) Loss 2.8330 (2.5956) Prec@1 25.625 (36.972) Prec@5 60.625 (67.712) Epoch: [27][8520/11272] Time 0.926 (0.821) Data 0.002 (0.002) Loss 2.5881 (2.5956) Prec@1 38.125 (36.973) Prec@5 72.500 (67.713) Epoch: [27][8530/11272] Time 0.902 (0.821) Data 0.002 (0.002) Loss 2.7211 (2.5957) Prec@1 31.250 (36.969) Prec@5 66.875 (67.711) Epoch: [27][8540/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.6198 (2.5957) Prec@1 33.750 (36.967) Prec@5 68.125 (67.711) Epoch: [27][8550/11272] Time 0.811 (0.821) Data 0.001 (0.002) Loss 2.7251 (2.5957) Prec@1 36.250 (36.967) Prec@5 63.750 (67.711) Epoch: [27][8560/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.4685 (2.5957) Prec@1 35.625 (36.969) Prec@5 70.625 (67.713) Epoch: [27][8570/11272] Time 0.940 (0.821) Data 0.001 (0.002) Loss 2.5799 (2.5956) Prec@1 35.625 (36.968) Prec@5 66.875 (67.715) Epoch: [27][8580/11272] Time 0.819 (0.821) Data 0.002 (0.002) Loss 2.4892 (2.5956) Prec@1 40.000 (36.969) Prec@5 70.625 (67.714) Epoch: [27][8590/11272] Time 0.730 (0.821) Data 0.002 (0.002) Loss 2.2920 (2.5955) Prec@1 38.750 (36.970) Prec@5 75.000 (67.716) Epoch: [27][8600/11272] Time 0.857 (0.821) Data 0.002 (0.002) Loss 2.3760 (2.5954) Prec@1 41.250 (36.972) Prec@5 75.000 (67.720) Epoch: [27][8610/11272] Time 0.738 (0.821) Data 0.003 (0.002) Loss 2.3302 (2.5954) Prec@1 45.000 (36.972) Prec@5 71.250 (67.717) Epoch: [27][8620/11272] Time 0.725 (0.821) Data 0.001 (0.002) Loss 2.3269 (2.5955) Prec@1 43.125 (36.970) Prec@5 71.875 (67.717) Epoch: [27][8630/11272] Time 0.866 (0.821) Data 0.002 (0.002) Loss 2.4767 (2.5955) Prec@1 42.500 (36.971) Prec@5 71.250 (67.717) Epoch: [27][8640/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.6319 (2.5955) Prec@1 38.750 (36.972) Prec@5 70.000 (67.717) Epoch: [27][8650/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.5582 (2.5955) Prec@1 33.750 (36.971) Prec@5 65.625 (67.716) Epoch: [27][8660/11272] Time 0.777 (0.821) Data 0.002 (0.002) Loss 2.5201 (2.5956) Prec@1 40.625 (36.971) Prec@5 68.125 (67.715) Epoch: [27][8670/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.5147 (2.5956) Prec@1 36.250 (36.970) Prec@5 69.375 (67.716) Epoch: [27][8680/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.3395 (2.5956) Prec@1 45.625 (36.970) Prec@5 70.000 (67.715) Epoch: [27][8690/11272] Time 0.773 (0.821) Data 0.002 (0.002) Loss 2.5021 (2.5955) Prec@1 38.750 (36.970) Prec@5 68.750 (67.714) Epoch: [27][8700/11272] Time 0.728 (0.821) Data 0.001 (0.002) Loss 2.7187 (2.5956) Prec@1 34.375 (36.968) Prec@5 63.750 (67.714) Epoch: [27][8710/11272] Time 0.835 (0.821) Data 0.002 (0.002) Loss 2.6568 (2.5956) Prec@1 39.375 (36.967) Prec@5 65.625 (67.711) Epoch: [27][8720/11272] Time 0.864 (0.821) Data 0.002 (0.002) Loss 2.3696 (2.5956) Prec@1 40.625 (36.966) Prec@5 69.375 (67.711) Epoch: [27][8730/11272] Time 0.765 (0.821) Data 0.002 (0.002) Loss 2.7300 (2.5956) Prec@1 34.375 (36.966) Prec@5 66.250 (67.712) Epoch: [27][8740/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.7571 (2.5957) Prec@1 33.125 (36.963) Prec@5 66.250 (67.711) Epoch: [27][8750/11272] Time 0.858 (0.821) Data 0.002 (0.002) Loss 2.7497 (2.5957) Prec@1 33.125 (36.962) Prec@5 64.375 (67.711) Epoch: [27][8760/11272] Time 0.764 (0.821) Data 0.002 (0.002) Loss 2.7252 (2.5957) Prec@1 31.250 (36.962) Prec@5 64.375 (67.711) Epoch: [27][8770/11272] Time 0.789 (0.821) Data 0.002 (0.002) Loss 2.6532 (2.5958) Prec@1 34.375 (36.958) Prec@5 68.750 (67.710) Epoch: [27][8780/11272] Time 0.917 (0.821) Data 0.002 (0.002) Loss 2.6003 (2.5958) Prec@1 41.875 (36.958) Prec@5 68.750 (67.709) Epoch: [27][8790/11272] Time 0.862 (0.821) Data 0.002 (0.002) Loss 2.8268 (2.5958) Prec@1 33.125 (36.960) Prec@5 65.000 (67.710) Epoch: [27][8800/11272] Time 0.798 (0.821) Data 0.002 (0.002) Loss 2.4318 (2.5958) Prec@1 38.125 (36.960) Prec@5 68.750 (67.712) Epoch: [27][8810/11272] Time 0.750 (0.821) Data 0.002 (0.002) Loss 2.8562 (2.5958) Prec@1 28.750 (36.960) Prec@5 63.125 (67.712) Epoch: [27][8820/11272] Time 0.871 (0.821) Data 0.002 (0.002) Loss 2.8015 (2.5958) Prec@1 33.750 (36.957) Prec@5 61.250 (67.712) Epoch: [27][8830/11272] Time 0.833 (0.821) Data 0.001 (0.002) Loss 2.7856 (2.5958) Prec@1 33.750 (36.957) Prec@5 62.500 (67.712) Epoch: [27][8840/11272] Time 0.775 (0.821) Data 0.002 (0.002) Loss 2.3819 (2.5959) Prec@1 38.750 (36.957) Prec@5 71.250 (67.711) Epoch: [27][8850/11272] Time 0.746 (0.821) Data 0.002 (0.002) Loss 2.7586 (2.5960) Prec@1 31.875 (36.955) Prec@5 64.375 (67.709) Epoch: [27][8860/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.7110 (2.5960) Prec@1 31.250 (36.954) Prec@5 63.125 (67.707) Epoch: [27][8870/11272] Time 0.731 (0.821) Data 0.003 (0.002) Loss 2.3755 (2.5959) Prec@1 36.875 (36.956) Prec@5 74.375 (67.710) Epoch: [27][8880/11272] Time 0.729 (0.821) Data 0.001 (0.002) Loss 2.6248 (2.5959) Prec@1 38.125 (36.955) Prec@5 61.875 (67.707) Epoch: [27][8890/11272] Time 0.836 (0.821) Data 0.001 (0.002) Loss 2.4231 (2.5959) Prec@1 41.875 (36.954) Prec@5 69.375 (67.708) Epoch: [27][8900/11272] Time 0.918 (0.821) Data 0.002 (0.002) Loss 2.3626 (2.5959) Prec@1 45.000 (36.955) Prec@5 71.875 (67.710) Epoch: [27][8910/11272] Time 0.728 (0.821) Data 0.002 (0.002) Loss 2.4350 (2.5958) Prec@1 37.500 (36.955) Prec@5 69.375 (67.712) Epoch: [27][8920/11272] Time 0.751 (0.821) Data 0.002 (0.002) Loss 2.5128 (2.5958) Prec@1 37.500 (36.954) Prec@5 70.000 (67.712) Epoch: [27][8930/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.6216 (2.5960) Prec@1 41.250 (36.951) Prec@5 67.500 (67.709) Epoch: [27][8940/11272] Time 0.920 (0.821) Data 0.002 (0.002) Loss 2.6536 (2.5960) Prec@1 35.000 (36.950) Prec@5 65.000 (67.708) Epoch: [27][8950/11272] Time 0.792 (0.821) Data 0.002 (0.002) Loss 2.7725 (2.5960) Prec@1 35.625 (36.949) Prec@5 65.000 (67.709) Epoch: [27][8960/11272] Time 0.743 (0.821) Data 0.002 (0.002) Loss 2.6389 (2.5961) Prec@1 33.750 (36.945) Prec@5 67.500 (67.706) Epoch: [27][8970/11272] Time 0.852 (0.821) Data 0.002 (0.002) Loss 2.6336 (2.5961) Prec@1 35.625 (36.947) Prec@5 68.750 (67.706) Epoch: [27][8980/11272] Time 0.866 (0.821) Data 0.002 (0.002) Loss 2.8046 (2.5960) Prec@1 35.000 (36.949) Prec@5 65.625 (67.708) Epoch: [27][8990/11272] Time 0.771 (0.821) Data 0.002 (0.002) Loss 2.5317 (2.5961) Prec@1 38.125 (36.948) Prec@5 70.000 (67.706) Epoch: [27][9000/11272] Time 0.882 (0.821) Data 0.002 (0.002) Loss 2.5687 (2.5961) Prec@1 39.375 (36.947) Prec@5 70.000 (67.707) Epoch: [27][9010/11272] Time 0.853 (0.821) Data 0.002 (0.002) Loss 2.5136 (2.5961) Prec@1 40.625 (36.947) Prec@5 65.000 (67.707) Epoch: [27][9020/11272] Time 0.757 (0.821) Data 0.002 (0.002) Loss 2.7894 (2.5961) Prec@1 35.625 (36.948) Prec@5 68.750 (67.707) Epoch: [27][9030/11272] Time 0.756 (0.821) Data 0.002 (0.002) Loss 2.4270 (2.5960) Prec@1 41.250 (36.950) Prec@5 66.250 (67.705) Epoch: [27][9040/11272] Time 0.944 (0.821) Data 0.002 (0.002) Loss 2.4947 (2.5961) Prec@1 38.125 (36.949) Prec@5 66.250 (67.705) Epoch: [27][9050/11272] Time 0.838 (0.821) Data 0.002 (0.002) Loss 2.7284 (2.5961) Prec@1 38.750 (36.949) Prec@5 70.625 (67.706) Epoch: [27][9060/11272] Time 0.820 (0.821) Data 0.002 (0.002) Loss 2.5525 (2.5961) Prec@1 39.375 (36.950) Prec@5 69.375 (67.707) Epoch: [27][9070/11272] Time 0.743 (0.821) Data 0.002 (0.002) Loss 2.4309 (2.5960) Prec@1 39.375 (36.951) Prec@5 73.750 (67.707) Epoch: [27][9080/11272] Time 0.860 (0.821) Data 0.002 (0.002) Loss 2.7850 (2.5960) Prec@1 38.750 (36.951) Prec@5 65.000 (67.707) Epoch: [27][9090/11272] Time 0.835 (0.821) Data 0.002 (0.002) Loss 2.5203 (2.5960) Prec@1 40.625 (36.953) Prec@5 70.625 (67.708) Epoch: [27][9100/11272] Time 0.750 (0.821) Data 0.001 (0.002) Loss 2.6646 (2.5959) Prec@1 33.750 (36.954) Prec@5 67.500 (67.710) Epoch: [27][9110/11272] Time 0.712 (0.821) Data 0.001 (0.002) Loss 2.4454 (2.5958) Prec@1 34.375 (36.954) Prec@5 70.625 (67.711) Epoch: [27][9120/11272] Time 0.876 (0.821) Data 0.002 (0.002) Loss 2.8654 (2.5960) Prec@1 34.375 (36.951) Prec@5 68.125 (67.709) Epoch: [27][9130/11272] Time 0.884 (0.821) Data 0.002 (0.002) Loss 2.3541 (2.5959) Prec@1 42.500 (36.951) Prec@5 71.250 (67.711) Epoch: [27][9140/11272] Time 0.779 (0.821) Data 0.001 (0.002) Loss 2.8333 (2.5958) Prec@1 34.375 (36.952) Prec@5 62.500 (67.712) Epoch: [27][9150/11272] Time 0.861 (0.821) Data 0.001 (0.002) Loss 2.5191 (2.5958) Prec@1 40.000 (36.954) Prec@5 71.250 (67.713) Epoch: [27][9160/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.7483 (2.5959) Prec@1 35.625 (36.952) Prec@5 60.000 (67.710) Epoch: [27][9170/11272] Time 0.780 (0.821) Data 0.002 (0.002) Loss 2.7099 (2.5958) Prec@1 39.375 (36.954) Prec@5 66.250 (67.709) Epoch: [27][9180/11272] Time 0.786 (0.821) Data 0.001 (0.002) Loss 2.5143 (2.5958) Prec@1 35.000 (36.955) Prec@5 68.125 (67.709) Epoch: [27][9190/11272] Time 0.876 (0.821) Data 0.002 (0.002) Loss 2.7751 (2.5959) Prec@1 31.250 (36.954) Prec@5 65.000 (67.709) Epoch: [27][9200/11272] Time 0.853 (0.821) Data 0.002 (0.002) Loss 2.7249 (2.5959) Prec@1 26.875 (36.953) Prec@5 66.250 (67.710) Epoch: [27][9210/11272] Time 0.779 (0.821) Data 0.002 (0.002) Loss 2.4913 (2.5958) Prec@1 39.375 (36.953) Prec@5 66.875 (67.710) Epoch: [27][9220/11272] Time 0.763 (0.821) Data 0.002 (0.002) Loss 2.5729 (2.5958) Prec@1 38.750 (36.952) Prec@5 68.750 (67.710) Epoch: [27][9230/11272] Time 0.832 (0.821) Data 0.002 (0.002) Loss 2.7146 (2.5958) Prec@1 36.250 (36.951) Prec@5 61.875 (67.710) Epoch: [27][9240/11272] Time 0.868 (0.821) Data 0.002 (0.002) Loss 2.6481 (2.5958) Prec@1 33.125 (36.951) Prec@5 67.500 (67.710) Epoch: [27][9250/11272] Time 0.726 (0.821) Data 0.001 (0.002) Loss 2.5990 (2.5959) Prec@1 32.500 (36.950) Prec@5 65.000 (67.708) Epoch: [27][9260/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.6276 (2.5959) Prec@1 34.375 (36.948) Prec@5 70.000 (67.708) Epoch: [27][9270/11272] Time 0.844 (0.821) Data 0.002 (0.002) Loss 2.5685 (2.5959) Prec@1 35.625 (36.949) Prec@5 65.000 (67.708) Epoch: [27][9280/11272] Time 0.745 (0.821) Data 0.002 (0.002) Loss 2.6690 (2.5959) Prec@1 38.125 (36.950) Prec@5 69.375 (67.709) Epoch: [27][9290/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.7325 (2.5959) Prec@1 35.625 (36.951) Prec@5 66.250 (67.710) Epoch: [27][9300/11272] Time 0.890 (0.821) Data 0.002 (0.002) Loss 2.4081 (2.5959) Prec@1 33.750 (36.950) Prec@5 72.500 (67.710) Epoch: [27][9310/11272] Time 0.839 (0.821) Data 0.002 (0.002) Loss 2.5046 (2.5960) Prec@1 35.000 (36.948) Prec@5 71.250 (67.709) Epoch: [27][9320/11272] Time 0.785 (0.821) Data 0.001 (0.002) Loss 2.6569 (2.5960) Prec@1 35.000 (36.949) Prec@5 68.750 (67.707) Epoch: [27][9330/11272] Time 0.740 (0.821) Data 0.002 (0.002) Loss 2.5318 (2.5960) Prec@1 38.125 (36.949) Prec@5 70.000 (67.708) Epoch: [27][9340/11272] Time 0.941 (0.821) Data 0.002 (0.002) Loss 2.6500 (2.5961) Prec@1 39.375 (36.947) Prec@5 67.500 (67.707) Epoch: [27][9350/11272] Time 0.925 (0.821) Data 0.002 (0.002) Loss 2.2936 (2.5960) Prec@1 46.250 (36.949) Prec@5 69.375 (67.708) Epoch: [27][9360/11272] Time 0.767 (0.821) Data 0.001 (0.002) Loss 2.4640 (2.5959) Prec@1 37.500 (36.951) Prec@5 70.000 (67.709) Epoch: [27][9370/11272] Time 0.790 (0.821) Data 0.002 (0.002) Loss 2.5293 (2.5960) Prec@1 36.875 (36.951) Prec@5 70.625 (67.708) Epoch: [27][9380/11272] Time 0.844 (0.821) Data 0.002 (0.002) Loss 2.7870 (2.5961) Prec@1 35.000 (36.948) Prec@5 64.375 (67.705) Epoch: [27][9390/11272] Time 0.894 (0.821) Data 0.002 (0.002) Loss 2.6076 (2.5961) Prec@1 35.625 (36.949) Prec@5 66.875 (67.705) Epoch: [27][9400/11272] Time 0.733 (0.821) Data 0.002 (0.002) Loss 2.5600 (2.5961) Prec@1 36.875 (36.949) Prec@5 68.125 (67.704) Epoch: [27][9410/11272] Time 0.924 (0.821) Data 0.001 (0.002) Loss 2.6630 (2.5961) Prec@1 32.500 (36.949) Prec@5 70.625 (67.705) Epoch: [27][9420/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.7875 (2.5962) Prec@1 35.625 (36.948) Prec@5 63.750 (67.703) Epoch: [27][9430/11272] Time 0.762 (0.821) Data 0.001 (0.002) Loss 2.5243 (2.5962) Prec@1 32.500 (36.947) Prec@5 66.875 (67.703) Epoch: [27][9440/11272] Time 0.747 (0.821) Data 0.002 (0.002) Loss 2.6194 (2.5962) Prec@1 34.375 (36.947) Prec@5 70.625 (67.704) Epoch: [27][9450/11272] Time 0.827 (0.821) Data 0.001 (0.002) Loss 2.6460 (2.5962) Prec@1 33.125 (36.945) Prec@5 65.625 (67.702) Epoch: [27][9460/11272] Time 0.920 (0.821) Data 0.002 (0.002) Loss 2.6436 (2.5962) Prec@1 36.250 (36.944) Prec@5 66.875 (67.702) Epoch: [27][9470/11272] Time 0.772 (0.821) Data 0.001 (0.002) Loss 2.5564 (2.5963) Prec@1 38.750 (36.944) Prec@5 70.000 (67.701) Epoch: [27][9480/11272] Time 0.729 (0.821) Data 0.002 (0.002) Loss 2.4679 (2.5962) Prec@1 39.375 (36.944) Prec@5 73.125 (67.704) Epoch: [27][9490/11272] Time 0.882 (0.821) Data 0.001 (0.002) Loss 2.7180 (2.5962) Prec@1 31.250 (36.943) Prec@5 65.625 (67.704) Epoch: [27][9500/11272] Time 0.912 (0.821) Data 0.002 (0.002) Loss 2.6093 (2.5963) Prec@1 39.375 (36.941) Prec@5 65.625 (67.701) Epoch: [27][9510/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.4697 (2.5963) Prec@1 38.125 (36.942) Prec@5 69.375 (67.701) Epoch: [27][9520/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.4467 (2.5963) Prec@1 38.750 (36.942) Prec@5 71.875 (67.702) Epoch: [27][9530/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.1865 (2.5963) Prec@1 45.000 (36.939) Prec@5 76.875 (67.701) Epoch: [27][9540/11272] Time 0.776 (0.821) Data 0.004 (0.002) Loss 2.7540 (2.5964) Prec@1 33.125 (36.937) Prec@5 64.375 (67.701) Epoch: [27][9550/11272] Time 0.835 (0.821) Data 0.002 (0.002) Loss 2.5111 (2.5964) Prec@1 35.000 (36.936) Prec@5 66.250 (67.700) Epoch: [27][9560/11272] Time 0.889 (0.821) Data 0.002 (0.002) Loss 2.6335 (2.5964) Prec@1 40.625 (36.936) Prec@5 67.500 (67.699) Epoch: [27][9570/11272] Time 0.880 (0.821) Data 0.002 (0.002) Loss 2.7243 (2.5964) Prec@1 38.125 (36.936) Prec@5 63.125 (67.697) Epoch: [27][9580/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.5746 (2.5964) Prec@1 37.500 (36.937) Prec@5 68.125 (67.697) Epoch: [27][9590/11272] Time 0.799 (0.821) Data 0.002 (0.002) Loss 2.6676 (2.5964) Prec@1 33.125 (36.937) Prec@5 63.750 (67.697) Epoch: [27][9600/11272] Time 0.859 (0.821) Data 0.002 (0.002) Loss 2.6155 (2.5964) Prec@1 35.625 (36.936) Prec@5 67.500 (67.697) Epoch: [27][9610/11272] Time 0.853 (0.821) Data 0.002 (0.002) Loss 2.5152 (2.5964) Prec@1 38.750 (36.937) Prec@5 70.625 (67.697) Epoch: [27][9620/11272] Time 0.750 (0.821) Data 0.002 (0.002) Loss 2.4441 (2.5964) Prec@1 34.375 (36.937) Prec@5 73.125 (67.695) Epoch: [27][9630/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.2321 (2.5964) Prec@1 44.375 (36.936) Prec@5 76.250 (67.695) Epoch: [27][9640/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.5291 (2.5963) Prec@1 35.625 (36.938) Prec@5 70.000 (67.697) Epoch: [27][9650/11272] Time 0.846 (0.821) Data 0.002 (0.002) Loss 2.6983 (2.5963) Prec@1 31.250 (36.938) Prec@5 70.625 (67.698) Epoch: [27][9660/11272] Time 0.741 (0.821) Data 0.002 (0.002) Loss 2.6605 (2.5963) Prec@1 37.500 (36.939) Prec@5 71.875 (67.700) Epoch: [27][9670/11272] Time 0.857 (0.821) Data 0.002 (0.002) Loss 2.4909 (2.5964) Prec@1 41.875 (36.940) Prec@5 73.125 (67.699) Epoch: [27][9680/11272] Time 0.870 (0.821) Data 0.002 (0.002) Loss 2.7296 (2.5964) Prec@1 34.375 (36.939) Prec@5 66.250 (67.697) Epoch: [27][9690/11272] Time 0.798 (0.821) Data 0.001 (0.002) Loss 2.5464 (2.5964) Prec@1 38.125 (36.938) Prec@5 62.500 (67.696) Epoch: [27][9700/11272] Time 0.716 (0.821) Data 0.001 (0.002) Loss 2.3726 (2.5964) Prec@1 40.000 (36.936) Prec@5 72.500 (67.696) Epoch: [27][9710/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.6719 (2.5964) Prec@1 38.750 (36.936) Prec@5 63.750 (67.696) Epoch: [27][9720/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.5856 (2.5965) Prec@1 38.750 (36.933) Prec@5 70.625 (67.695) Epoch: [27][9730/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.3623 (2.5964) Prec@1 40.625 (36.935) Prec@5 71.875 (67.698) Epoch: [27][9740/11272] Time 0.807 (0.821) Data 0.002 (0.002) Loss 2.8121 (2.5965) Prec@1 31.875 (36.933) Prec@5 63.750 (67.699) Epoch: [27][9750/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.6547 (2.5965) Prec@1 32.500 (36.933) Prec@5 66.250 (67.698) Epoch: [27][9760/11272] Time 0.853 (0.821) Data 0.001 (0.002) Loss 2.2997 (2.5965) Prec@1 38.125 (36.933) Prec@5 74.375 (67.699) Epoch: [27][9770/11272] Time 0.788 (0.821) Data 0.002 (0.002) Loss 2.4417 (2.5965) Prec@1 38.125 (36.933) Prec@5 70.625 (67.699) Epoch: [27][9780/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.9182 (2.5965) Prec@1 33.750 (36.933) Prec@5 62.500 (67.697) Epoch: [27][9790/11272] Time 0.859 (0.821) Data 0.002 (0.002) Loss 2.3414 (2.5965) Prec@1 39.375 (36.934) Prec@5 71.250 (67.698) Epoch: [27][9800/11272] Time 0.748 (0.821) Data 0.004 (0.002) Loss 2.5916 (2.5965) Prec@1 36.250 (36.934) Prec@5 67.500 (67.698) Epoch: [27][9810/11272] Time 0.782 (0.821) Data 0.002 (0.002) Loss 2.4360 (2.5965) Prec@1 40.625 (36.934) Prec@5 72.500 (67.699) Epoch: [27][9820/11272] Time 0.899 (0.821) Data 0.002 (0.002) Loss 2.7868 (2.5965) Prec@1 36.250 (36.933) Prec@5 61.250 (67.698) Epoch: [27][9830/11272] Time 0.893 (0.821) Data 0.002 (0.002) Loss 2.4914 (2.5965) Prec@1 37.500 (36.934) Prec@5 68.125 (67.699) Epoch: [27][9840/11272] Time 0.762 (0.821) Data 0.002 (0.002) Loss 2.2771 (2.5964) Prec@1 45.000 (36.935) Prec@5 75.625 (67.701) Epoch: [27][9850/11272] Time 0.816 (0.821) Data 0.002 (0.002) Loss 2.8218 (2.5965) Prec@1 33.750 (36.933) Prec@5 63.750 (67.699) Epoch: [27][9860/11272] Time 0.903 (0.821) Data 0.002 (0.002) Loss 2.7781 (2.5966) Prec@1 32.500 (36.933) Prec@5 66.875 (67.698) Epoch: [27][9870/11272] Time 0.882 (0.821) Data 0.002 (0.002) Loss 2.5580 (2.5965) Prec@1 36.875 (36.933) Prec@5 62.500 (67.697) Epoch: [27][9880/11272] Time 0.797 (0.821) Data 0.002 (0.002) Loss 2.8469 (2.5966) Prec@1 29.375 (36.933) Prec@5 62.500 (67.696) Epoch: [27][9890/11272] Time 0.720 (0.821) Data 0.002 (0.002) Loss 2.6866 (2.5965) Prec@1 36.250 (36.936) Prec@5 62.500 (67.697) Epoch: [27][9900/11272] Time 0.838 (0.821) Data 0.001 (0.002) Loss 2.6825 (2.5966) Prec@1 33.125 (36.935) Prec@5 64.375 (67.696) Epoch: [27][9910/11272] Time 0.829 (0.821) Data 0.002 (0.002) Loss 2.5818 (2.5966) Prec@1 39.375 (36.934) Prec@5 69.375 (67.696) Epoch: [27][9920/11272] Time 0.743 (0.821) Data 0.002 (0.002) Loss 2.6371 (2.5967) Prec@1 38.750 (36.934) Prec@5 68.125 (67.696) Epoch: [27][9930/11272] Time 0.915 (0.821) Data 0.002 (0.002) Loss 2.5890 (2.5966) Prec@1 39.375 (36.932) Prec@5 70.000 (67.697) Epoch: [27][9940/11272] Time 0.841 (0.821) Data 0.002 (0.002) Loss 2.5369 (2.5966) Prec@1 40.000 (36.934) Prec@5 68.125 (67.697) Epoch: [27][9950/11272] Time 0.758 (0.821) Data 0.001 (0.002) Loss 2.7503 (2.5966) Prec@1 35.000 (36.935) Prec@5 61.250 (67.698) Epoch: [27][9960/11272] Time 0.729 (0.821) Data 0.001 (0.002) Loss 2.5882 (2.5966) Prec@1 43.750 (36.936) Prec@5 67.500 (67.698) Epoch: [27][9970/11272] Time 0.902 (0.821) Data 0.002 (0.002) Loss 2.5268 (2.5967) Prec@1 37.500 (36.936) Prec@5 70.625 (67.697) Epoch: [27][9980/11272] Time 0.891 (0.821) Data 0.001 (0.002) Loss 2.5203 (2.5967) Prec@1 35.625 (36.937) Prec@5 71.875 (67.697) Epoch: [27][9990/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.5356 (2.5966) Prec@1 39.375 (36.937) Prec@5 67.500 (67.697) Epoch: [27][10000/11272] Time 0.769 (0.821) Data 0.002 (0.002) Loss 2.7521 (2.5967) Prec@1 35.000 (36.936) Prec@5 60.625 (67.697) Epoch: [27][10010/11272] Time 0.856 (0.821) Data 0.002 (0.002) Loss 2.3756 (2.5966) Prec@1 40.625 (36.936) Prec@5 73.750 (67.697) Epoch: [27][10020/11272] Time 0.851 (0.821) Data 0.002 (0.002) Loss 2.7958 (2.5966) Prec@1 35.625 (36.934) Prec@5 67.500 (67.697) Epoch: [27][10030/11272] Time 0.807 (0.821) Data 0.002 (0.002) Loss 2.2815 (2.5966) Prec@1 43.125 (36.935) Prec@5 71.875 (67.698) Epoch: [27][10040/11272] Time 0.763 (0.821) Data 0.002 (0.002) Loss 2.5860 (2.5966) Prec@1 37.500 (36.934) Prec@5 70.000 (67.697) Epoch: [27][10050/11272] Time 0.849 (0.821) Data 0.002 (0.002) Loss 2.6605 (2.5966) Prec@1 35.625 (36.933) Prec@5 66.250 (67.698) Epoch: [27][10060/11272] Time 0.937 (0.821) Data 0.002 (0.002) Loss 2.5577 (2.5966) Prec@1 38.750 (36.934) Prec@5 65.625 (67.697) Epoch: [27][10070/11272] Time 0.762 (0.821) Data 0.002 (0.002) Loss 2.5436 (2.5967) Prec@1 40.000 (36.934) Prec@5 67.500 (67.697) Epoch: [27][10080/11272] Time 0.860 (0.821) Data 0.002 (0.002) Loss 2.5329 (2.5967) Prec@1 36.250 (36.934) Prec@5 71.250 (67.698) Epoch: [27][10090/11272] Time 0.884 (0.821) Data 0.001 (0.002) Loss 2.5285 (2.5967) Prec@1 40.000 (36.934) Prec@5 66.250 (67.697) Epoch: [27][10100/11272] Time 0.756 (0.821) Data 0.002 (0.002) Loss 2.6904 (2.5967) Prec@1 36.875 (36.934) Prec@5 70.000 (67.697) Epoch: [27][10110/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.5017 (2.5967) Prec@1 38.750 (36.935) Prec@5 71.875 (67.699) Epoch: [27][10120/11272] Time 0.891 (0.821) Data 0.002 (0.002) Loss 2.5657 (2.5967) Prec@1 37.500 (36.936) Prec@5 70.625 (67.701) Epoch: [27][10130/11272] Time 0.811 (0.821) Data 0.001 (0.002) Loss 2.8279 (2.5967) Prec@1 34.375 (36.935) Prec@5 64.375 (67.700) Epoch: [27][10140/11272] Time 0.735 (0.821) Data 0.002 (0.002) Loss 2.3255 (2.5966) Prec@1 40.625 (36.936) Prec@5 75.625 (67.702) Epoch: [27][10150/11272] Time 0.762 (0.821) Data 0.002 (0.002) Loss 2.4123 (2.5966) Prec@1 41.250 (36.937) Prec@5 73.125 (67.701) Epoch: [27][10160/11272] Time 0.947 (0.821) Data 0.002 (0.002) Loss 2.5228 (2.5965) Prec@1 38.125 (36.939) Prec@5 66.875 (67.703) Epoch: [27][10170/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.5395 (2.5965) Prec@1 39.375 (36.940) Prec@5 66.250 (67.703) Epoch: [27][10180/11272] Time 0.770 (0.821) Data 0.002 (0.002) Loss 2.7464 (2.5965) Prec@1 36.250 (36.939) Prec@5 68.750 (67.703) Epoch: [27][10190/11272] Time 0.739 (0.821) Data 0.002 (0.002) Loss 2.5169 (2.5965) Prec@1 41.250 (36.939) Prec@5 71.250 (67.705) Epoch: [27][10200/11272] Time 0.910 (0.821) Data 0.002 (0.002) Loss 2.2431 (2.5965) Prec@1 45.625 (36.940) Prec@5 74.375 (67.704) Epoch: [27][10210/11272] Time 0.750 (0.821) Data 0.001 (0.002) Loss 2.6197 (2.5965) Prec@1 39.375 (36.941) Prec@5 66.250 (67.704) Epoch: [27][10220/11272] Time 0.744 (0.821) Data 0.002 (0.002) Loss 2.5867 (2.5965) Prec@1 37.500 (36.941) Prec@5 68.125 (67.704) Epoch: [27][10230/11272] Time 0.858 (0.821) Data 0.002 (0.002) Loss 2.8131 (2.5966) Prec@1 38.750 (36.941) Prec@5 64.375 (67.701) Epoch: [27][10240/11272] Time 0.927 (0.821) Data 0.001 (0.002) Loss 2.7821 (2.5966) Prec@1 33.125 (36.940) Prec@5 65.000 (67.700) Epoch: [27][10250/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.5198 (2.5967) Prec@1 39.375 (36.940) Prec@5 68.750 (67.698) Epoch: [27][10260/11272] Time 0.786 (0.821) Data 0.002 (0.002) Loss 2.4016 (2.5967) Prec@1 46.250 (36.940) Prec@5 71.875 (67.699) Epoch: [27][10270/11272] Time 0.877 (0.821) Data 0.001 (0.002) Loss 2.5187 (2.5967) Prec@1 35.000 (36.941) Prec@5 71.875 (67.699) Epoch: [27][10280/11272] Time 0.929 (0.821) Data 0.002 (0.002) Loss 2.7029 (2.5967) Prec@1 36.875 (36.940) Prec@5 64.375 (67.698) Epoch: [27][10290/11272] Time 0.784 (0.821) Data 0.002 (0.002) Loss 2.4527 (2.5966) Prec@1 48.125 (36.943) Prec@5 71.250 (67.699) Epoch: [27][10300/11272] Time 0.789 (0.821) Data 0.002 (0.002) Loss 2.3354 (2.5967) Prec@1 42.500 (36.944) Prec@5 72.500 (67.700) Epoch: [27][10310/11272] Time 0.835 (0.821) Data 0.001 (0.002) Loss 2.4850 (2.5967) Prec@1 40.625 (36.945) Prec@5 70.000 (67.700) Epoch: [27][10320/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.7757 (2.5967) Prec@1 31.250 (36.945) Prec@5 66.250 (67.699) Epoch: [27][10330/11272] Time 0.736 (0.821) Data 0.002 (0.002) Loss 2.4384 (2.5967) Prec@1 42.500 (36.945) Prec@5 68.750 (67.699) Epoch: [27][10340/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.4767 (2.5967) Prec@1 33.125 (36.944) Prec@5 68.125 (67.698) Epoch: [27][10350/11272] Time 0.901 (0.821) Data 0.001 (0.002) Loss 2.6179 (2.5967) Prec@1 37.500 (36.944) Prec@5 65.000 (67.696) Epoch: [27][10360/11272] Time 0.714 (0.821) Data 0.001 (0.002) Loss 2.6599 (2.5968) Prec@1 38.750 (36.943) Prec@5 68.125 (67.694) Epoch: [27][10370/11272] Time 0.738 (0.821) Data 0.002 (0.002) Loss 2.7334 (2.5969) Prec@1 31.875 (36.942) Prec@5 67.500 (67.693) Epoch: [27][10380/11272] Time 0.928 (0.821) Data 0.002 (0.002) Loss 2.6126 (2.5968) Prec@1 29.375 (36.941) Prec@5 68.125 (67.695) Epoch: [27][10390/11272] Time 0.907 (0.821) Data 0.002 (0.002) Loss 2.4455 (2.5968) Prec@1 38.750 (36.941) Prec@5 70.625 (67.696) Epoch: [27][10400/11272] Time 0.784 (0.821) Data 0.002 (0.002) Loss 2.6911 (2.5969) Prec@1 35.625 (36.940) Prec@5 65.625 (67.696) Epoch: [27][10410/11272] Time 0.750 (0.821) Data 0.001 (0.002) Loss 2.5078 (2.5969) Prec@1 35.000 (36.939) Prec@5 70.625 (67.695) Epoch: [27][10420/11272] Time 0.886 (0.821) Data 0.001 (0.002) Loss 3.2156 (2.5970) Prec@1 30.625 (36.937) Prec@5 55.000 (67.693) Epoch: [27][10430/11272] Time 0.895 (0.821) Data 0.001 (0.002) Loss 2.3806 (2.5970) Prec@1 43.750 (36.937) Prec@5 73.750 (67.693) Epoch: [27][10440/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.9142 (2.5971) Prec@1 35.000 (36.937) Prec@5 60.000 (67.693) Epoch: [27][10450/11272] Time 0.734 (0.821) Data 0.002 (0.002) Loss 2.8660 (2.5972) Prec@1 37.500 (36.936) Prec@5 64.375 (67.691) Epoch: [27][10460/11272] Time 0.873 (0.821) Data 0.002 (0.002) Loss 2.8265 (2.5972) Prec@1 30.000 (36.935) Prec@5 63.750 (67.690) Epoch: [27][10470/11272] Time 0.738 (0.821) Data 0.003 (0.002) Loss 2.5615 (2.5972) Prec@1 38.750 (36.933) Prec@5 65.625 (67.689) Epoch: [27][10480/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.7119 (2.5973) Prec@1 30.625 (36.932) Prec@5 64.375 (67.687) Epoch: [27][10490/11272] Time 0.847 (0.821) Data 0.002 (0.002) Loss 2.5974 (2.5973) Prec@1 35.000 (36.931) Prec@5 65.625 (67.688) Epoch: [27][10500/11272] Time 0.848 (0.821) Data 0.002 (0.002) Loss 2.4696 (2.5974) Prec@1 37.500 (36.932) Prec@5 73.125 (67.687) Epoch: [27][10510/11272] Time 0.730 (0.821) Data 0.001 (0.002) Loss 2.5505 (2.5973) Prec@1 32.500 (36.932) Prec@5 67.500 (67.687) Epoch: [27][10520/11272] Time 0.800 (0.821) Data 0.001 (0.002) Loss 2.5118 (2.5974) Prec@1 36.875 (36.930) Prec@5 66.875 (67.685) Epoch: [27][10530/11272] Time 0.835 (0.821) Data 0.002 (0.002) Loss 2.4213 (2.5974) Prec@1 40.625 (36.931) Prec@5 75.000 (67.686) Epoch: [27][10540/11272] Time 0.943 (0.821) Data 0.002 (0.002) Loss 2.6446 (2.5974) Prec@1 38.125 (36.932) Prec@5 65.000 (67.688) Epoch: [27][10550/11272] Time 0.734 (0.821) Data 0.001 (0.002) Loss 2.6870 (2.5973) Prec@1 35.625 (36.932) Prec@5 65.625 (67.689) Epoch: [27][10560/11272] Time 0.779 (0.821) Data 0.002 (0.002) Loss 2.8859 (2.5973) Prec@1 33.750 (36.932) Prec@5 64.375 (67.689) Epoch: [27][10570/11272] Time 0.845 (0.821) Data 0.001 (0.002) Loss 2.6520 (2.5973) Prec@1 33.125 (36.934) Prec@5 68.750 (67.691) Epoch: [27][10580/11272] Time 0.962 (0.821) Data 0.001 (0.002) Loss 2.6982 (2.5973) Prec@1 30.625 (36.934) Prec@5 68.125 (67.691) Epoch: [27][10590/11272] Time 0.741 (0.821) Data 0.001 (0.002) Loss 2.3876 (2.5973) Prec@1 43.125 (36.933) Prec@5 71.875 (67.690) Epoch: [27][10600/11272] Time 0.853 (0.821) Data 0.002 (0.002) Loss 2.7345 (2.5972) Prec@1 32.500 (36.934) Prec@5 63.125 (67.692) Epoch: [27][10610/11272] Time 0.869 (0.821) Data 0.002 (0.002) Loss 2.5064 (2.5972) Prec@1 38.750 (36.934) Prec@5 73.125 (67.694) Epoch: [27][10620/11272] Time 0.758 (0.821) Data 0.001 (0.002) Loss 2.8947 (2.5972) Prec@1 30.625 (36.935) Prec@5 61.875 (67.693) Epoch: [27][10630/11272] Time 0.751 (0.821) Data 0.002 (0.002) Loss 2.2792 (2.5973) Prec@1 47.500 (36.936) Prec@5 68.125 (67.693) Epoch: [27][10640/11272] Time 0.909 (0.821) Data 0.001 (0.002) Loss 2.6150 (2.5973) Prec@1 35.000 (36.934) Prec@5 68.125 (67.693) Epoch: [27][10650/11272] Time 0.805 (0.821) Data 0.001 (0.002) Loss 2.7126 (2.5972) Prec@1 36.250 (36.935) Prec@5 67.500 (67.694) Epoch: [27][10660/11272] Time 0.718 (0.821) Data 0.001 (0.002) Loss 2.4175 (2.5972) Prec@1 38.125 (36.934) Prec@5 69.375 (67.695) Epoch: [27][10670/11272] Time 0.790 (0.821) Data 0.001 (0.002) Loss 2.5811 (2.5972) Prec@1 38.125 (36.934) Prec@5 66.875 (67.694) Epoch: [27][10680/11272] Time 0.886 (0.821) Data 0.002 (0.002) Loss 2.6417 (2.5973) Prec@1 33.750 (36.932) Prec@5 65.625 (67.692) Epoch: [27][10690/11272] Time 0.887 (0.821) Data 0.001 (0.002) Loss 2.4454 (2.5973) Prec@1 36.875 (36.932) Prec@5 73.125 (67.692) Epoch: [27][10700/11272] Time 0.796 (0.821) Data 0.002 (0.002) Loss 2.7246 (2.5973) Prec@1 31.250 (36.932) Prec@5 65.625 (67.691) Epoch: [27][10710/11272] Time 0.768 (0.821) Data 0.002 (0.002) Loss 2.6824 (2.5973) Prec@1 34.375 (36.933) Prec@5 66.875 (67.693) Epoch: [27][10720/11272] Time 0.874 (0.821) Data 0.002 (0.002) Loss 2.7365 (2.5974) Prec@1 33.125 (36.931) Prec@5 70.625 (67.691) Epoch: [27][10730/11272] Time 0.742 (0.821) Data 0.003 (0.002) Loss 2.6790 (2.5974) Prec@1 38.125 (36.932) Prec@5 65.625 (67.690) Epoch: [27][10740/11272] Time 0.743 (0.821) Data 0.001 (0.002) Loss 2.4924 (2.5974) Prec@1 35.000 (36.933) Prec@5 73.125 (67.691) Epoch: [27][10750/11272] Time 0.869 (0.821) Data 0.001 (0.002) Loss 2.7579 (2.5974) Prec@1 33.750 (36.935) Prec@5 63.750 (67.691) Epoch: [27][10760/11272] Time 0.852 (0.821) Data 0.002 (0.002) Loss 2.5518 (2.5974) Prec@1 39.375 (36.936) Prec@5 68.125 (67.691) Epoch: [27][10770/11272] Time 0.748 (0.821) Data 0.002 (0.002) Loss 2.5310 (2.5974) Prec@1 38.750 (36.936) Prec@5 70.000 (67.690) Epoch: [27][10780/11272] Time 0.758 (0.821) Data 0.002 (0.002) Loss 2.5884 (2.5974) Prec@1 38.125 (36.935) Prec@5 68.125 (67.690) Epoch: [27][10790/11272] Time 0.844 (0.821) Data 0.001 (0.002) Loss 2.7199 (2.5975) Prec@1 36.250 (36.935) Prec@5 62.500 (67.687) Epoch: [27][10800/11272] Time 0.863 (0.821) Data 0.002 (0.002) Loss 2.4696 (2.5975) Prec@1 46.875 (36.936) Prec@5 66.875 (67.688) Epoch: [27][10810/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.4308 (2.5975) Prec@1 35.625 (36.935) Prec@5 70.000 (67.688) Epoch: [27][10820/11272] Time 0.753 (0.821) Data 0.002 (0.002) Loss 2.9306 (2.5975) Prec@1 35.625 (36.935) Prec@5 63.125 (67.687) Epoch: [27][10830/11272] Time 0.849 (0.821) Data 0.002 (0.002) Loss 2.4075 (2.5975) Prec@1 40.000 (36.935) Prec@5 70.000 (67.687) Epoch: [27][10840/11272] Time 0.927 (0.821) Data 0.001 (0.002) Loss 2.7086 (2.5975) Prec@1 36.250 (36.934) Prec@5 66.250 (67.688) Epoch: [27][10850/11272] Time 0.732 (0.821) Data 0.002 (0.002) Loss 2.5990 (2.5976) Prec@1 39.375 (36.933) Prec@5 70.000 (67.686) Epoch: [27][10860/11272] Time 0.839 (0.821) Data 0.002 (0.002) Loss 2.8483 (2.5976) Prec@1 32.500 (36.931) Prec@5 62.500 (67.686) Epoch: [27][10870/11272] Time 0.826 (0.821) Data 0.001 (0.002) Loss 2.4029 (2.5976) Prec@1 43.125 (36.931) Prec@5 70.625 (67.687) Epoch: [27][10880/11272] Time 0.789 (0.820) Data 0.001 (0.002) Loss 2.6057 (2.5976) Prec@1 31.875 (36.929) Prec@5 68.750 (67.687) Epoch: [27][10890/11272] Time 0.759 (0.820) Data 0.001 (0.002) Loss 2.5332 (2.5976) Prec@1 43.125 (36.929) Prec@5 68.750 (67.687) Epoch: [27][10900/11272] Time 0.850 (0.821) Data 0.002 (0.002) Loss 2.7755 (2.5976) Prec@1 33.125 (36.929) Prec@5 63.750 (67.686) Epoch: [27][10910/11272] Time 0.839 (0.820) Data 0.001 (0.002) Loss 3.0644 (2.5977) Prec@1 30.625 (36.926) Prec@5 61.875 (67.685) Epoch: [27][10920/11272] Time 0.740 (0.820) Data 0.002 (0.002) Loss 2.5823 (2.5977) Prec@1 38.125 (36.928) Prec@5 65.000 (67.686) Epoch: [27][10930/11272] Time 0.789 (0.820) Data 0.001 (0.002) Loss 2.5285 (2.5976) Prec@1 34.375 (36.928) Prec@5 68.750 (67.686) Epoch: [27][10940/11272] Time 0.882 (0.820) Data 0.002 (0.002) Loss 2.6541 (2.5976) Prec@1 34.375 (36.928) Prec@5 64.375 (67.687) Epoch: [27][10950/11272] Time 0.917 (0.820) Data 0.002 (0.002) Loss 2.5330 (2.5976) Prec@1 33.125 (36.927) Prec@5 68.750 (67.688) Epoch: [27][10960/11272] Time 0.793 (0.820) Data 0.002 (0.002) Loss 2.5092 (2.5976) Prec@1 36.250 (36.928) Prec@5 71.875 (67.686) Epoch: [27][10970/11272] Time 0.765 (0.820) Data 0.002 (0.002) Loss 2.6352 (2.5976) Prec@1 37.500 (36.928) Prec@5 65.000 (67.686) Epoch: [27][10980/11272] Time 0.851 (0.821) Data 0.001 (0.002) Loss 2.6269 (2.5976) Prec@1 41.250 (36.928) Prec@5 68.750 (67.685) Epoch: [27][10990/11272] Time 0.852 (0.821) Data 0.002 (0.002) Loss 2.7530 (2.5976) Prec@1 33.750 (36.928) Prec@5 68.125 (67.683) Epoch: [27][11000/11272] Time 0.745 (0.821) Data 0.002 (0.002) Loss 2.6451 (2.5976) Prec@1 38.750 (36.927) Prec@5 67.500 (67.683) Epoch: [27][11010/11272] Time 0.858 (0.821) Data 0.001 (0.002) Loss 2.4207 (2.5977) Prec@1 35.625 (36.928) Prec@5 67.500 (67.683) Epoch: [27][11020/11272] Time 1.008 (0.821) Data 0.002 (0.002) Loss 2.6349 (2.5976) Prec@1 35.000 (36.927) Prec@5 70.625 (67.685) Epoch: [27][11030/11272] Time 0.761 (0.821) Data 0.002 (0.002) Loss 2.6719 (2.5977) Prec@1 36.875 (36.927) Prec@5 65.625 (67.684) Epoch: [27][11040/11272] Time 0.724 (0.821) Data 0.001 (0.002) Loss 2.9789 (2.5978) Prec@1 35.000 (36.927) Prec@5 58.750 (67.682) Epoch: [27][11050/11272] Time 0.871 (0.821) Data 0.001 (0.002) Loss 2.6145 (2.5978) Prec@1 36.250 (36.925) Prec@5 68.750 (67.680) Epoch: [27][11060/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.7181 (2.5978) Prec@1 34.375 (36.924) Prec@5 66.250 (67.679) Epoch: [27][11070/11272] Time 0.754 (0.821) Data 0.002 (0.002) Loss 2.7738 (2.5978) Prec@1 27.500 (36.923) Prec@5 66.250 (67.678) Epoch: [27][11080/11272] Time 0.755 (0.821) Data 0.002 (0.002) Loss 2.5310 (2.5979) Prec@1 39.375 (36.923) Prec@5 67.500 (67.677) Epoch: [27][11090/11272] Time 0.872 (0.821) Data 0.002 (0.002) Loss 2.4835 (2.5978) Prec@1 41.250 (36.924) Prec@5 68.125 (67.678) Epoch: [27][11100/11272] Time 0.904 (0.821) Data 0.002 (0.002) Loss 2.6181 (2.5979) Prec@1 40.625 (36.924) Prec@5 67.500 (67.676) Epoch: [27][11110/11272] Time 0.816 (0.821) Data 0.002 (0.002) Loss 2.7440 (2.5979) Prec@1 33.750 (36.924) Prec@5 66.250 (67.675) Epoch: [27][11120/11272] Time 0.746 (0.820) Data 0.002 (0.002) Loss 2.7588 (2.5980) Prec@1 37.500 (36.923) Prec@5 63.750 (67.674) Epoch: [27][11130/11272] Time 0.843 (0.820) Data 0.001 (0.002) Loss 2.7115 (2.5979) Prec@1 36.250 (36.924) Prec@5 63.125 (67.674) Epoch: [27][11140/11272] Time 0.790 (0.820) Data 0.001 (0.002) Loss 2.6529 (2.5979) Prec@1 33.750 (36.924) Prec@5 67.500 (67.675) Epoch: [27][11150/11272] Time 0.748 (0.820) Data 0.002 (0.002) Loss 2.6976 (2.5979) Prec@1 36.250 (36.924) Prec@5 61.875 (67.675) Epoch: [27][11160/11272] Time 0.854 (0.821) Data 0.002 (0.002) Loss 2.6306 (2.5979) Prec@1 40.625 (36.923) Prec@5 68.750 (67.676) Epoch: [27][11170/11272] Time 0.894 (0.820) Data 0.002 (0.002) Loss 2.5646 (2.5979) Prec@1 36.250 (36.923) Prec@5 71.875 (67.675) Epoch: [27][11180/11272] Time 0.744 (0.820) Data 0.001 (0.002) Loss 2.4213 (2.5979) Prec@1 39.375 (36.922) Prec@5 72.500 (67.676) Epoch: [27][11190/11272] Time 0.747 (0.820) Data 0.001 (0.002) Loss 2.7097 (2.5979) Prec@1 34.375 (36.922) Prec@5 65.000 (67.675) Epoch: [27][11200/11272] Time 0.872 (0.820) Data 0.002 (0.002) Loss 2.7963 (2.5980) Prec@1 35.000 (36.921) Prec@5 61.875 (67.674) Epoch: [27][11210/11272] Time 0.839 (0.820) Data 0.002 (0.002) Loss 2.4071 (2.5980) Prec@1 43.750 (36.921) Prec@5 68.125 (67.674) Epoch: [27][11220/11272] Time 0.736 (0.820) Data 0.002 (0.002) Loss 2.6999 (2.5980) Prec@1 31.250 (36.920) Prec@5 65.625 (67.673) Epoch: [27][11230/11272] Time 0.731 (0.820) Data 0.002 (0.002) Loss 2.5319 (2.5979) Prec@1 35.625 (36.921) Prec@5 76.250 (67.675) Epoch: [27][11240/11272] Time 0.902 (0.820) Data 0.002 (0.002) Loss 2.7448 (2.5979) Prec@1 34.375 (36.920) Prec@5 64.375 (67.676) Epoch: [27][11250/11272] Time 0.822 (0.820) Data 0.001 (0.002) Loss 2.4718 (2.5979) Prec@1 39.375 (36.920) Prec@5 71.250 (67.677) Epoch: [27][11260/11272] Time 0.736 (0.820) Data 0.001 (0.002) Loss 2.4166 (2.5978) Prec@1 41.250 (36.921) Prec@5 73.125 (67.678) Epoch: [27][11270/11272] Time 0.828 (0.820) Data 0.000 (0.002) Loss 2.7657 (2.5978) Prec@1 30.625 (36.921) Prec@5 66.875 (67.678) Test: [0/229] Time 1.584 (1.584) Loss 1.7851 (1.7851) Prec@1 44.375 (44.375) Prec@5 88.750 (88.750) Test: [10/229] Time 0.315 (0.494) Loss 1.9733 (2.2765) Prec@1 40.000 (40.341) Prec@5 88.750 (77.386) Test: [20/229] Time 0.434 (0.452) Loss 1.9798 (2.3393) Prec@1 50.000 (39.673) Prec@5 80.625 (74.940) Test: [30/229] Time 0.355 (0.431) Loss 2.6734 (2.2084) Prec@1 28.125 (43.468) Prec@5 66.250 (76.512) Test: [40/229] Time 0.458 (0.422) Loss 1.0317 (2.2478) Prec@1 75.000 (42.271) Prec@5 88.125 (75.625) Test: [50/229] Time 0.371 (0.416) Loss 3.1958 (2.3051) Prec@1 18.125 (41.826) Prec@5 58.125 (74.056) Test: [60/229] Time 0.346 (0.413) Loss 2.6540 (2.2936) Prec@1 22.500 (41.855) Prec@5 71.250 (74.098) Test: [70/229] Time 0.499 (0.411) Loss 1.5891 (2.2922) Prec@1 62.500 (42.069) Prec@5 85.000 (74.102) Test: [80/229] Time 0.360 (0.409) Loss 2.8832 (2.2929) Prec@1 25.625 (41.651) Prec@5 61.875 (74.506) Test: [90/229] Time 0.460 (0.408) Loss 2.8600 (2.3043) Prec@1 30.625 (41.456) Prec@5 63.125 (74.540) Test: [100/229] Time 0.349 (0.406) Loss 2.7195 (2.2779) Prec@1 30.625 (42.036) Prec@5 75.625 (75.087) Test: [110/229] Time 0.482 (0.406) Loss 2.2938 (2.2708) Prec@1 41.875 (42.168) Prec@5 75.000 (75.208) Test: [120/229] Time 0.350 (0.403) Loss 3.1574 (2.2829) Prec@1 21.875 (41.761) Prec@5 65.000 (75.062) Test: [130/229] Time 0.331 (0.402) Loss 1.6828 (2.2558) Prec@1 54.375 (42.424) Prec@5 85.625 (75.558) Test: [140/229] Time 0.475 (0.401) Loss 2.1098 (2.2711) Prec@1 43.750 (42.052) Prec@5 75.625 (75.253) Test: [150/229] Time 0.332 (0.400) Loss 1.2822 (2.2878) Prec@1 66.875 (41.772) Prec@5 88.125 (74.979) Test: [160/229] Time 0.482 (0.399) Loss 3.1659 (2.3000) Prec@1 23.750 (41.506) Prec@5 65.625 (74.744) Test: [170/229] Time 0.363 (0.398) Loss 2.3985 (2.3173) Prec@1 35.625 (41.100) Prec@5 76.875 (74.401) Test: [180/229] Time 0.456 (0.398) Loss 3.1702 (2.3171) Prec@1 21.875 (41.288) Prec@5 58.125 (74.251) Test: [190/229] Time 0.396 (0.398) Loss 1.4370 (2.2985) Prec@1 64.375 (41.842) Prec@5 92.500 (74.562) Test: [200/229] Time 0.369 (0.397) Loss 2.8163 (2.2996) Prec@1 31.250 (41.788) Prec@5 60.000 (74.611) Test: [210/229] Time 0.488 (0.397) Loss 1.9199 (2.2894) Prec@1 42.500 (41.914) Prec@5 83.125 (74.852) Test: [220/229] Time 0.379 (0.397) Loss 1.7245 (2.2772) Prec@1 52.500 (42.240) Prec@5 86.875 (75.028) * Prec@1 42.610 Prec@5 75.099 Epoch: [28][0/11272] Time 2.877 (2.877) Data 1.992 (1.992) Loss 2.7186 (2.7186) Prec@1 32.500 (32.500) Prec@5 64.375 (64.375) Epoch: [28][10/11272] Time 0.889 (1.009) Data 0.002 (0.183) Loss 2.7530 (2.6052) Prec@1 35.625 (38.239) Prec@5 65.000 (68.068) Epoch: [28][20/11272] Time 0.835 (0.916) Data 0.001 (0.096) Loss 2.5167 (2.5834) Prec@1 36.250 (37.500) Prec@5 70.000 (68.095) Epoch: [28][30/11272] Time 0.759 (0.880) Data 0.002 (0.066) Loss 2.7472 (2.5877) Prec@1 32.500 (36.774) Prec@5 66.250 (67.802) Epoch: [28][40/11272] Time 0.745 (0.861) Data 0.001 (0.050) Loss 2.5512 (2.5856) Prec@1 33.125 (36.616) Prec@5 70.000 (68.140) Epoch: [28][50/11272] Time 0.902 (0.852) Data 0.002 (0.041) Loss 2.6314 (2.5767) Prec@1 33.750 (36.875) Prec@5 70.000 (68.309) Epoch: [28][60/11272] Time 0.872 (0.844) Data 0.002 (0.034) Loss 2.5527 (2.5774) Prec@1 40.625 (36.885) Prec@5 61.875 (68.002) Epoch: [28][70/11272] Time 0.756 (0.838) Data 0.002 (0.030) Loss 2.5893 (2.5771) Prec@1 36.875 (37.025) Prec@5 65.000 (68.072) Epoch: [28][80/11272] Time 0.842 (0.835) Data 0.002 (0.026) Loss 2.3127 (2.5708) Prec@1 43.125 (37.207) Prec@5 72.500 (68.133) Epoch: [28][90/11272] Time 0.901 (0.833) Data 0.002 (0.024) Loss 3.0161 (2.5774) Prec@1 29.375 (37.150) Prec@5 60.000 (67.912) Epoch: [28][100/11272] Time 0.761 (0.829) Data 0.002 (0.021) Loss 2.6419 (2.5820) Prec@1 36.250 (37.302) Prec@5 67.500 (67.816) Epoch: [28][110/11272] Time 0.750 (0.827) Data 0.002 (0.020) Loss 2.7536 (2.5871) Prec@1 31.875 (37.179) Prec@5 61.250 (67.736) Epoch: [28][120/11272] Time 0.892 (0.825) Data 0.002 (0.018) Loss 2.6352 (2.5795) Prec@1 36.875 (37.314) Prec@5 63.750 (67.810) Epoch: [28][130/11272] Time 0.937 (0.826) Data 0.002 (0.017) Loss 2.4258 (2.5820) Prec@1 40.000 (37.204) Prec@5 72.500 (67.805) Epoch: [28][140/11272] Time 0.785 (0.825) Data 0.002 (0.016) Loss 2.5033 (2.5781) Prec@1 36.250 (37.234) Prec@5 67.500 (67.996) Epoch: [28][150/11272] Time 0.733 (0.824) Data 0.001 (0.015) Loss 2.5916 (2.5771) Prec@1 35.000 (37.223) Prec@5 68.125 (68.013) Epoch: [28][160/11272] Time 0.904 (0.825) Data 0.002 (0.014) Loss 2.5816 (2.5811) Prec@1 40.000 (37.081) Prec@5 67.500 (67.946) Epoch: [28][170/11272] Time 0.837 (0.823) Data 0.002 (0.013) Loss 2.3998 (2.5823) Prec@1 36.250 (37.047) Prec@5 72.500 (67.917) Epoch: [28][180/11272] Time 0.790 (0.823) Data 0.002 (0.013) Loss 2.5119 (2.5833) Prec@1 40.000 (36.944) Prec@5 68.750 (67.925) Epoch: [28][190/11272] Time 0.753 (0.823) Data 0.002 (0.012) Loss 2.4946 (2.5815) Prec@1 38.750 (37.052) Prec@5 71.250 (67.912) Epoch: [28][200/11272] Time 0.843 (0.823) Data 0.002 (0.012) Loss 2.2500 (2.5812) Prec@1 45.000 (37.058) Prec@5 72.500 (67.935) Epoch: [28][210/11272] Time 0.747 (0.821) Data 0.003 (0.011) Loss 2.7470 (2.5816) Prec@1 32.500 (37.070) Prec@5 68.125 (67.930) Epoch: [28][220/11272] Time 0.782 (0.821) Data 0.002 (0.011) Loss 2.3723 (2.5811) Prec@1 41.875 (37.076) Prec@5 71.875 (67.947) Epoch: [28][230/11272] Time 0.861 (0.821) Data 0.002 (0.010) Loss 2.8123 (2.5824) Prec@1 31.250 (37.029) Prec@5 63.125 (67.990) Epoch: [28][240/11272] Time 0.857 (0.820) Data 0.002 (0.010) Loss 2.3498 (2.5811) Prec@1 43.750 (37.064) Prec@5 72.500 (67.982) Epoch: [28][250/11272] Time 0.728 (0.819) Data 0.002 (0.010) Loss 2.5117 (2.5796) Prec@1 40.000 (37.149) Prec@5 70.625 (68.035) Epoch: [28][260/11272] Time 0.721 (0.818) Data 0.002 (0.009) Loss 2.5971 (2.5810) Prec@1 41.250 (37.155) Prec@5 66.875 (67.993) Epoch: [28][270/11272] Time 0.877 (0.818) Data 0.002 (0.009) Loss 2.5499 (2.5784) Prec@1 41.875 (37.154) Prec@5 69.375 (68.047) Epoch: [28][280/11272] Time 0.841 (0.817) Data 0.002 (0.009) Loss 2.6371 (2.5751) Prec@1 36.250 (37.211) Prec@5 66.250 (68.074) Epoch: [28][290/11272] Time 0.766 (0.817) Data 0.002 (0.009) Loss 2.7585 (2.5744) Prec@1 35.000 (37.234) Prec@5 63.125 (68.119) Epoch: [28][300/11272] Time 0.754 (0.817) Data 0.001 (0.008) Loss 2.9325 (2.5786) Prec@1 26.250 (37.137) Prec@5 65.000 (68.054) Epoch: [28][310/11272] Time 0.899 (0.816) Data 0.002 (0.008) Loss 2.7376 (2.5780) Prec@1 33.125 (37.120) Prec@5 63.750 (68.083) Epoch: [28][320/11272] Time 0.818 (0.816) Data 0.001 (0.008) Loss 2.7695 (2.5797) Prec@1 31.875 (37.066) Prec@5 66.875 (68.057) Epoch: [28][330/11272] Time 0.797 (0.816) Data 0.002 (0.008) Loss 2.6160 (2.5812) Prec@1 31.250 (37.015) Prec@5 65.000 (67.991) Epoch: [28][340/11272] Time 0.857 (0.816) Data 0.001 (0.008) Loss 2.7201 (2.5801) Prec@1 33.750 (37.056) Prec@5 65.625 (68.037) Epoch: [28][350/11272] Time 0.879 (0.815) Data 0.002 (0.007) Loss 2.6186 (2.5831) Prec@1 34.375 (37.001) Prec@5 65.625 (67.984) Epoch: [28][360/11272] Time 0.735 (0.815) Data 0.001 (0.007) Loss 2.8748 (2.5859) Prec@1 35.000 (36.986) Prec@5 63.125 (67.917) Epoch: [28][370/11272] Time 0.734 (0.815) Data 0.002 (0.007) Loss 2.2225 (2.5816) Prec@1 48.750 (37.052) Prec@5 72.500 (68.000) Epoch: [28][380/11272] Time 0.847 (0.815) Data 0.002 (0.007) Loss 2.5550 (2.5812) Prec@1 32.500 (37.037) Prec@5 68.750 (68.004) Epoch: [28][390/11272] Time 0.869 (0.815) Data 0.001 (0.007) Loss 2.6612 (2.5809) Prec@1 38.125 (37.067) Prec@5 66.875 (68.000) Epoch: [28][400/11272] Time 0.745 (0.815) Data 0.002 (0.007) Loss 2.7172 (2.5805) Prec@1 38.750 (37.081) Prec@5 66.875 (68.008) Epoch: [28][410/11272] Time 0.775 (0.815) Data 0.002 (0.007) Loss 2.4885 (2.5807) Prec@1 38.125 (37.080) Prec@5 70.625 (68.026) Epoch: [28][420/11272] Time 0.859 (0.815) Data 0.002 (0.006) Loss 2.3405 (2.5808) Prec@1 43.125 (37.108) Prec@5 70.000 (68.026) Epoch: [28][430/11272] Time 0.839 (0.814) Data 0.002 (0.006) Loss 2.7207 (2.5808) Prec@1 33.750 (37.117) Prec@5 66.875 (68.022) Epoch: [28][440/11272] Time 0.740 (0.815) Data 0.001 (0.006) Loss 2.5599 (2.5816) Prec@1 37.500 (37.103) Prec@5 71.250 (68.013) Epoch: [28][450/11272] Time 0.730 (0.814) Data 0.002 (0.006) Loss 2.4183 (2.5801) Prec@1 38.750 (37.137) Prec@5 71.250 (68.052) Epoch: [28][460/11272] Time 0.909 (0.814) Data 0.002 (0.006) Loss 2.3764 (2.5790) Prec@1 35.625 (37.184) Prec@5 72.500 (68.067) Epoch: [28][470/11272] Time 0.728 (0.814) Data 0.003 (0.006) Loss 2.7592 (2.5806) Prec@1 29.375 (37.144) Prec@5 67.500 (68.059) Epoch: [28][480/11272] Time 0.753 (0.814) Data 0.002 (0.006) Loss 2.4912 (2.5804) Prec@1 38.750 (37.145) Prec@5 66.875 (68.034) Epoch: [28][490/11272] Time 0.854 (0.814) Data 0.001 (0.006) Loss 2.7668 (2.5807) Prec@1 35.625 (37.130) Prec@5 61.250 (68.012) Epoch: [28][500/11272] Time 0.869 (0.814) Data 0.002 (0.006) Loss 2.6588 (2.5813) Prec@1 40.625 (37.143) Prec@5 66.250 (67.997) Epoch: [28][510/11272] Time 0.758 (0.814) Data 0.002 (0.006) Loss 2.7384 (2.5819) Prec@1 35.625 (37.178) Prec@5 63.125 (67.987) Epoch: [28][520/11272] Time 0.786 (0.814) Data 0.002 (0.006) Loss 2.7878 (2.5841) Prec@1 33.750 (37.161) Prec@5 64.375 (67.956) Epoch: [28][530/11272] Time 0.871 (0.814) Data 0.002 (0.005) Loss 2.7247 (2.5837) Prec@1 33.125 (37.170) Prec@5 64.375 (67.956) Epoch: [28][540/11272] Time 0.853 (0.814) Data 0.002 (0.005) Loss 2.8401 (2.5841) Prec@1 32.500 (37.168) Prec@5 60.000 (67.942) Epoch: [28][550/11272] Time 0.756 (0.814) Data 0.002 (0.005) Loss 2.4092 (2.5836) Prec@1 36.250 (37.163) Prec@5 70.000 (67.950) Epoch: [28][560/11272] Time 0.779 (0.814) Data 0.002 (0.005) Loss 2.7965 (2.5840) Prec@1 31.250 (37.159) Prec@5 65.625 (67.922) Epoch: [28][570/11272] Time 0.873 (0.814) Data 0.002 (0.005) Loss 2.6160 (2.5832) Prec@1 35.625 (37.167) Prec@5 65.625 (67.951) Epoch: [28][580/11272] Time 0.849 (0.814) Data 0.002 (0.005) Loss 2.5233 (2.5837) Prec@1 38.750 (37.162) Prec@5 65.625 (67.928) Epoch: [28][590/11272] Time 0.785 (0.813) Data 0.001 (0.005) Loss 2.5234 (2.5825) Prec@1 35.625 (37.166) Prec@5 68.750 (67.953) Epoch: [28][600/11272] Time 0.846 (0.813) Data 0.002 (0.005) Loss 2.6209 (2.5821) Prec@1 40.000 (37.156) Prec@5 63.125 (67.945) Epoch: [28][610/11272] Time 0.906 (0.814) Data 0.002 (0.005) Loss 2.5514 (2.5821) Prec@1 38.750 (37.174) Prec@5 69.375 (67.926) Epoch: [28][620/11272] Time 0.783 (0.814) Data 0.001 (0.005) Loss 2.3530 (2.5821) Prec@1 38.750 (37.189) Prec@5 73.750 (67.941) Epoch: [28][630/11272] Time 0.790 (0.814) Data 0.002 (0.005) Loss 2.5038 (2.5822) Prec@1 38.750 (37.184) Prec@5 73.125 (67.942) Epoch: [28][640/11272] Time 0.855 (0.814) Data 0.002 (0.005) Loss 2.7329 (2.5818) Prec@1 30.625 (37.189) Prec@5 64.375 (67.956) Epoch: [28][650/11272] Time 0.911 (0.814) Data 0.001 (0.005) Loss 2.2443 (2.5811) Prec@1 40.000 (37.215) Prec@5 75.000 (67.968) Epoch: [28][660/11272] Time 0.750 (0.814) Data 0.002 (0.005) Loss 2.3803 (2.5808) Prec@1 38.750 (37.215) Prec@5 74.375 (67.977) Epoch: [28][670/11272] Time 0.745 (0.814) Data 0.001 (0.005) Loss 2.5694 (2.5807) Prec@1 40.000 (37.208) Prec@5 68.750 (67.968) Epoch: [28][680/11272] Time 0.871 (0.813) Data 0.002 (0.005) Loss 2.3208 (2.5818) Prec@1 40.625 (37.205) Prec@5 75.625 (67.947) Epoch: [28][690/11272] Time 0.878 (0.813) Data 0.002 (0.005) Loss 2.7696 (2.5825) Prec@1 33.750 (37.200) Prec@5 68.125 (67.948) Epoch: [28][700/11272] Time 0.728 (0.813) Data 0.001 (0.005) Loss 2.3886 (2.5838) Prec@1 39.375 (37.182) Prec@5 68.125 (67.920) Epoch: [28][710/11272] Time 0.774 (0.813) Data 0.002 (0.005) Loss 2.7911 (2.5839) Prec@1 33.750 (37.177) Prec@5 61.250 (67.913) Epoch: [28][720/11272] Time 0.870 (0.813) Data 0.002 (0.004) Loss 2.4197 (2.5840) Prec@1 38.125 (37.178) Prec@5 71.875 (67.925) Epoch: [28][730/11272] Time 0.861 (0.813) Data 0.001 (0.004) Loss 2.6286 (2.5843) Prec@1 36.875 (37.184) Prec@5 66.875 (67.899) Epoch: [28][740/11272] Time 0.728 (0.813) Data 0.001 (0.004) Loss 2.7563 (2.5845) Prec@1 26.250 (37.187) Prec@5 66.875 (67.879) Epoch: [28][750/11272] Time 0.831 (0.813) Data 0.001 (0.004) Loss 2.4329 (2.5845) Prec@1 40.000 (37.202) Prec@5 70.625 (67.872) Epoch: [28][760/11272] Time 0.843 (0.813) Data 0.002 (0.004) Loss 2.4407 (2.5845) Prec@1 36.250 (37.205) Prec@5 68.125 (67.875) Epoch: [28][770/11272] Time 0.753 (0.813) Data 0.002 (0.004) Loss 2.5696 (2.5853) Prec@1 34.375 (37.188) Prec@5 69.375 (67.849) Epoch: [28][780/11272] Time 0.742 (0.813) Data 0.002 (0.004) Loss 2.7573 (2.5860) Prec@1 33.125 (37.181) Prec@5 63.750 (67.830) Epoch: [28][790/11272] Time 0.865 (0.813) Data 0.002 (0.004) Loss 2.6015 (2.5868) Prec@1 40.625 (37.175) Prec@5 68.125 (67.811) Epoch: [28][800/11272] Time 0.861 (0.813) Data 0.002 (0.004) Loss 2.7206 (2.5860) Prec@1 31.875 (37.191) Prec@5 65.625 (67.837) Epoch: [28][810/11272] Time 0.835 (0.813) Data 0.004 (0.004) Loss 2.3336 (2.5853) Prec@1 40.625 (37.199) Prec@5 75.625 (67.862) Epoch: [28][820/11272] Time 0.772 (0.813) Data 0.001 (0.004) Loss 2.4915 (2.5856) Prec@1 43.750 (37.198) Prec@5 70.625 (67.855) Epoch: [28][830/11272] Time 0.990 (0.813) Data 0.002 (0.004) Loss 2.7509 (2.5865) Prec@1 35.000 (37.178) Prec@5 65.000 (67.843) Epoch: [28][840/11272] Time 0.855 (0.813) Data 0.002 (0.004) Loss 2.9731 (2.5867) Prec@1 27.500 (37.180) Prec@5 61.250 (67.836) Epoch: [28][850/11272] Time 0.783 (0.813) Data 0.003 (0.004) Loss 2.6875 (2.5864) Prec@1 35.625 (37.196) Prec@5 66.875 (67.833) Epoch: [28][860/11272] Time 0.739 (0.813) Data 0.002 (0.004) Loss 2.4218 (2.5863) Prec@1 42.500 (37.223) Prec@5 66.875 (67.822) Epoch: [28][870/11272] Time 0.905 (0.813) Data 0.002 (0.004) Loss 2.5606 (2.5873) Prec@1 37.500 (37.219) Prec@5 65.625 (67.806) Epoch: [28][880/11272] Time 0.811 (0.813) Data 0.002 (0.004) Loss 2.5746 (2.5875) Prec@1 37.500 (37.223) Prec@5 73.125 (67.802) Epoch: [28][890/11272] Time 0.794 (0.813) Data 0.001 (0.004) Loss 2.8633 (2.5872) Prec@1 30.625 (37.237) Prec@5 60.625 (67.809) Epoch: [28][900/11272] Time 0.905 (0.814) Data 0.002 (0.004) Loss 2.4098 (2.5877) Prec@1 38.125 (37.222) Prec@5 72.500 (67.798) Epoch: [28][910/11272] Time 0.851 (0.813) Data 0.003 (0.004) Loss 2.4880 (2.5878) Prec@1 38.750 (37.208) Prec@5 73.125 (67.799) Epoch: [28][920/11272] Time 0.747 (0.813) Data 0.002 (0.004) Loss 2.3642 (2.5876) Prec@1 46.250 (37.214) Prec@5 72.500 (67.805) Epoch: [28][930/11272] Time 0.762 (0.813) Data 0.001 (0.004) Loss 2.3781 (2.5879) Prec@1 35.000 (37.203) Prec@5 78.125 (67.800) Epoch: [28][940/11272] Time 0.913 (0.813) Data 0.002 (0.004) Loss 2.7117 (2.5885) Prec@1 31.875 (37.189) Prec@5 65.000 (67.776) Epoch: [28][950/11272] Time 0.868 (0.813) Data 0.002 (0.004) Loss 2.6040 (2.5888) Prec@1 35.625 (37.179) Prec@5 68.750 (67.775) Epoch: [28][960/11272] Time 0.726 (0.813) Data 0.002 (0.004) Loss 2.6525 (2.5893) Prec@1 37.500 (37.188) Prec@5 65.000 (67.770) Epoch: [28][970/11272] Time 0.728 (0.813) Data 0.001 (0.004) Loss 2.4131 (2.5894) Prec@1 37.500 (37.177) Prec@5 70.000 (67.761) Epoch: [28][980/11272] Time 0.889 (0.813) Data 0.002 (0.004) Loss 2.4765 (2.5896) Prec@1 43.125 (37.179) Prec@5 69.375 (67.745) Epoch: [28][990/11272] Time 0.838 (0.814) Data 0.002 (0.004) Loss 2.6134 (2.5888) Prec@1 36.875 (37.195) Prec@5 65.000 (67.754) Epoch: [28][1000/11272] Time 0.745 (0.814) Data 0.002 (0.004) Loss 2.4885 (2.5895) Prec@1 38.750 (37.193) Prec@5 66.875 (67.724) Epoch: [28][1010/11272] Time 0.852 (0.814) Data 0.002 (0.004) Loss 2.5893 (2.5896) Prec@1 37.500 (37.183) Prec@5 67.500 (67.723) Epoch: [28][1020/11272] Time 0.884 (0.814) Data 0.001 (0.004) Loss 2.7257 (2.5897) Prec@1 36.250 (37.169) Prec@5 66.250 (67.719) Epoch: [28][1030/11272] Time 0.789 (0.814) Data 0.002 (0.004) Loss 2.4075 (2.5892) Prec@1 41.875 (37.179) Prec@5 68.125 (67.729) Epoch: [28][1040/11272] Time 0.760 (0.814) Data 0.002 (0.004) Loss 2.6187 (2.5896) Prec@1 33.125 (37.159) Prec@5 65.000 (67.716) Epoch: [28][1050/11272] Time 0.866 (0.814) Data 0.002 (0.004) Loss 2.4204 (2.5890) Prec@1 43.750 (37.172) Prec@5 66.875 (67.727) Epoch: [28][1060/11272] Time 0.862 (0.814) Data 0.002 (0.004) Loss 2.8367 (2.5893) Prec@1 30.000 (37.142) Prec@5 65.625 (67.736) Epoch: [28][1070/11272] Time 0.700 (0.814) Data 0.001 (0.004) Loss 2.8089 (2.5904) Prec@1 37.500 (37.128) Prec@5 61.875 (67.715) Epoch: [28][1080/11272] Time 0.798 (0.814) Data 0.003 (0.004) Loss 2.5113 (2.5904) Prec@1 38.125 (37.140) Prec@5 68.750 (67.720) Epoch: [28][1090/11272] Time 0.850 (0.814) Data 0.001 (0.004) Loss 2.5409 (2.5894) Prec@1 32.500 (37.157) Prec@5 68.750 (67.742) Epoch: [28][1100/11272] Time 0.862 (0.814) Data 0.001 (0.004) Loss 2.6413 (2.5899) Prec@1 37.500 (37.155) Prec@5 68.125 (67.740) Epoch: [28][1110/11272] Time 0.747 (0.814) Data 0.002 (0.004) Loss 2.9078 (2.5901) Prec@1 30.625 (37.146) Prec@5 58.750 (67.728) Epoch: [28][1120/11272] Time 0.753 (0.814) Data 0.001 (0.003) Loss 2.4515 (2.5901) Prec@1 41.250 (37.140) Prec@5 71.250 (67.731) Epoch: [28][1130/11272] Time 0.887 (0.814) Data 0.002 (0.003) Loss 2.7334 (2.5908) Prec@1 31.250 (37.127) Prec@5 66.875 (67.717) Epoch: [28][1140/11272] Time 0.734 (0.813) Data 0.004 (0.003) Loss 2.8881 (2.5918) Prec@1 34.375 (37.101) Prec@5 63.750 (67.698) Epoch: [28][1150/11272] Time 0.745 (0.813) Data 0.002 (0.003) Loss 2.6699 (2.5922) Prec@1 31.875 (37.087) Prec@5 63.125 (67.697) Epoch: [28][1160/11272] Time 0.924 (0.814) Data 0.001 (0.003) Loss 2.1234 (2.5913) Prec@1 47.500 (37.101) Prec@5 76.875 (67.721) Epoch: [28][1170/11272] Time 0.850 (0.813) Data 0.002 (0.003) Loss 2.4895 (2.5914) Prec@1 36.250 (37.091) Prec@5 71.875 (67.722) Epoch: [28][1180/11272] Time 0.743 (0.813) Data 0.002 (0.003) Loss 2.6205 (2.5920) Prec@1 36.875 (37.085) Prec@5 67.500 (67.707) Epoch: [28][1190/11272] Time 0.766 (0.813) Data 0.002 (0.003) Loss 2.5107 (2.5918) Prec@1 40.000 (37.089) Prec@5 67.500 (67.706) Epoch: [28][1200/11272] Time 0.853 (0.814) Data 0.002 (0.003) Loss 2.2326 (2.5915) Prec@1 45.000 (37.094) Prec@5 74.375 (67.710) Epoch: [28][1210/11272] Time 0.892 (0.814) Data 0.002 (0.003) Loss 2.3102 (2.5920) Prec@1 40.625 (37.085) Prec@5 78.125 (67.700) Epoch: [28][1220/11272] Time 0.727 (0.814) Data 0.002 (0.003) Loss 2.9647 (2.5919) Prec@1 35.000 (37.094) Prec@5 65.000 (67.707) Epoch: [28][1230/11272] Time 0.789 (0.814) Data 0.002 (0.003) Loss 2.6270 (2.5917) Prec@1 37.500 (37.102) Prec@5 66.250 (67.710) Epoch: [28][1240/11272] Time 0.847 (0.814) Data 0.002 (0.003) Loss 2.7586 (2.5912) Prec@1 38.750 (37.114) Prec@5 64.375 (67.708) Epoch: [28][1250/11272] Time 0.920 (0.814) Data 0.002 (0.003) Loss 2.6289 (2.5913) Prec@1 40.625 (37.113) Prec@5 66.250 (67.698) Epoch: [28][1260/11272] Time 0.770 (0.814) Data 0.002 (0.003) Loss 2.8378 (2.5912) Prec@1 33.750 (37.117) Prec@5 65.625 (67.706) Epoch: [28][1270/11272] Time 0.847 (0.814) Data 0.002 (0.003) Loss 2.4762 (2.5913) Prec@1 38.125 (37.098) Prec@5 70.625 (67.704) Epoch: [28][1280/11272] Time 0.866 (0.814) Data 0.002 (0.003) Loss 2.4385 (2.5912) Prec@1 36.875 (37.103) Prec@5 71.875 (67.708) Epoch: [28][1290/11272] Time 0.791 (0.814) Data 0.002 (0.003) Loss 3.1136 (2.5918) Prec@1 30.000 (37.097) Prec@5 56.250 (67.690) Epoch: [28][1300/11272] Time 0.721 (0.814) Data 0.001 (0.003) Loss 2.6986 (2.5915) Prec@1 35.000 (37.097) Prec@5 64.375 (67.695) Epoch: [28][1310/11272] Time 0.867 (0.814) Data 0.002 (0.003) Loss 2.8366 (2.5924) Prec@1 30.625 (37.073) Prec@5 63.750 (67.676) Epoch: [28][1320/11272] Time 0.907 (0.814) Data 0.002 (0.003) Loss 2.3830 (2.5917) Prec@1 37.500 (37.077) Prec@5 72.500 (67.694) Epoch: [28][1330/11272] Time 0.729 (0.814) Data 0.002 (0.003) Loss 2.5226 (2.5918) Prec@1 37.500 (37.077) Prec@5 69.375 (67.685) Epoch: [28][1340/11272] Time 0.731 (0.814) Data 0.002 (0.003) Loss 2.7034 (2.5918) Prec@1 40.000 (37.079) Prec@5 63.750 (67.686) Epoch: [28][1350/11272] Time 0.912 (0.814) Data 0.002 (0.003) Loss 2.4286 (2.5917) Prec@1 36.875 (37.087) Prec@5 68.750 (67.686) Epoch: [28][1360/11272] Time 0.832 (0.814) Data 0.001 (0.003) Loss 2.6349 (2.5918) Prec@1 39.375 (37.089) Prec@5 63.750 (67.673) Epoch: [28][1370/11272] Time 0.746 (0.814) Data 0.002 (0.003) Loss 2.6232 (2.5918) Prec@1 35.625 (37.094) Prec@5 62.500 (67.673) Epoch: [28][1380/11272] Time 0.788 (0.814) Data 0.002 (0.003) Loss 2.4788 (2.5912) Prec@1 40.625 (37.104) Prec@5 68.125 (67.694) Epoch: [28][1390/11272] Time 0.868 (0.814) Data 0.001 (0.003) Loss 2.3674 (2.5920) Prec@1 36.250 (37.085) Prec@5 75.625 (67.685) Epoch: [28][1400/11272] Time 0.769 (0.814) Data 0.004 (0.003) Loss 2.6424 (2.5922) Prec@1 36.875 (37.088) Prec@5 68.750 (67.682) Epoch: [28][1410/11272] Time 0.811 (0.814) Data 0.002 (0.003) Loss 2.3604 (2.5922) Prec@1 44.375 (37.087) Prec@5 71.250 (67.691) Epoch: [28][1420/11272] Time 0.881 (0.814) Data 0.001 (0.003) Loss 2.5379 (2.5916) Prec@1 35.000 (37.094) Prec@5 70.000 (67.698) Epoch: [28][1430/11272] Time 0.865 (0.814) Data 0.001 (0.003) Loss 2.6987 (2.5918) Prec@1 35.000 (37.101) Prec@5 66.250 (67.696) Epoch: [28][1440/11272] Time 0.744 (0.814) Data 0.002 (0.003) Loss 2.4568 (2.5914) Prec@1 33.750 (37.105) Prec@5 72.500 (67.708) Epoch: [28][1450/11272] Time 0.782 (0.814) Data 0.002 (0.003) Loss 2.4691 (2.5911) Prec@1 40.625 (37.104) Prec@5 73.750 (67.719) Epoch: [28][1460/11272] Time 0.869 (0.814) Data 0.001 (0.003) Loss 2.6114 (2.5910) Prec@1 37.500 (37.107) Prec@5 69.375 (67.727) Epoch: [28][1470/11272] Time 0.920 (0.814) Data 0.002 (0.003) Loss 2.3833 (2.5909) Prec@1 41.875 (37.097) Prec@5 71.250 (67.730) Epoch: [28][1480/11272] Time 0.766 (0.814) Data 0.001 (0.003) Loss 2.4390 (2.5908) Prec@1 37.500 (37.091) Prec@5 70.625 (67.734) Epoch: [28][1490/11272] Time 0.758 (0.814) Data 0.001 (0.003) Loss 2.4129 (2.5910) Prec@1 40.000 (37.079) Prec@5 72.500 (67.733) Epoch: [28][1500/11272] Time 0.882 (0.814) Data 0.001 (0.003) Loss 2.7280 (2.5907) Prec@1 32.500 (37.077) Prec@5 63.750 (67.742) Epoch: [28][1510/11272] Time 0.880 (0.814) Data 0.002 (0.003) Loss 2.5016 (2.5904) Prec@1 36.250 (37.088) Prec@5 70.625 (67.745) Epoch: [28][1520/11272] Time 0.771 (0.814) Data 0.001 (0.003) Loss 2.4846 (2.5904) Prec@1 43.125 (37.085) Prec@5 72.500 (67.754) Epoch: [28][1530/11272] Time 0.857 (0.814) Data 0.002 (0.003) Loss 2.3636 (2.5900) Prec@1 42.500 (37.083) Prec@5 72.500 (67.761) Epoch: [28][1540/11272] Time 0.874 (0.814) Data 0.002 (0.003) Loss 2.6341 (2.5902) Prec@1 36.875 (37.074) Prec@5 68.125 (67.754) Epoch: [28][1550/11272] Time 0.712 (0.814) Data 0.001 (0.003) Loss 2.6446 (2.5903) Prec@1 34.375 (37.076) Prec@5 67.500 (67.755) Epoch: [28][1560/11272] Time 0.758 (0.815) Data 0.002 (0.003) Loss 2.6400 (2.5907) Prec@1 37.500 (37.078) Prec@5 66.875 (67.741) Epoch: [28][1570/11272] Time 0.878 (0.815) Data 0.002 (0.003) Loss 2.4043 (2.5908) Prec@1 37.500 (37.081) Prec@5 72.500 (67.737) Epoch: [28][1580/11272] Time 0.885 (0.815) Data 0.001 (0.003) Loss 2.5239 (2.5905) Prec@1 40.000 (37.092) Prec@5 68.125 (67.743) Epoch: [28][1590/11272] Time 0.788 (0.815) Data 0.002 (0.003) Loss 2.5333 (2.5903) Prec@1 40.000 (37.099) Prec@5 68.750 (67.750) Epoch: [28][1600/11272] Time 0.760 (0.815) Data 0.001 (0.003) Loss 2.6859 (2.5906) Prec@1 39.375 (37.099) Prec@5 65.000 (67.743) Epoch: [28][1610/11272] Time 0.892 (0.815) Data 0.002 (0.003) Loss 2.7533 (2.5909) Prec@1 35.625 (37.094) Prec@5 58.125 (67.731) Epoch: [28][1620/11272] Time 0.836 (0.815) Data 0.001 (0.003) Loss 2.5295 (2.5910) Prec@1 42.500 (37.095) Prec@5 71.875 (67.729) Epoch: [28][1630/11272] Time 0.714 (0.815) Data 0.002 (0.003) Loss 2.3329 (2.5914) Prec@1 39.375 (37.092) Prec@5 70.000 (67.723) Epoch: [28][1640/11272] Time 0.718 (0.815) Data 0.002 (0.003) Loss 2.5841 (2.5916) Prec@1 34.375 (37.078) Prec@5 66.875 (67.715) Epoch: [28][1650/11272] Time 0.867 (0.815) Data 0.002 (0.003) Loss 2.8410 (2.5922) Prec@1 31.875 (37.070) Prec@5 65.625 (67.708) Epoch: [28][1660/11272] Time 0.894 (0.815) Data 0.002 (0.003) Loss 2.7965 (2.5927) Prec@1 35.000 (37.070) Prec@5 63.750 (67.692) Epoch: [28][1670/11272] Time 0.776 (0.815) Data 0.003 (0.003) Loss 2.5618 (2.5934) Prec@1 41.875 (37.056) Prec@5 68.125 (67.683) Epoch: [28][1680/11272] Time 0.829 (0.815) Data 0.001 (0.003) Loss 2.4415 (2.5934) Prec@1 37.500 (37.057) Prec@5 74.375 (67.689) Epoch: [28][1690/11272] Time 0.857 (0.815) Data 0.001 (0.003) Loss 2.5224 (2.5933) Prec@1 36.875 (37.054) Prec@5 70.000 (67.690) Epoch: [28][1700/11272] Time 0.755 (0.815) Data 0.002 (0.003) Loss 2.6823 (2.5934) Prec@1 35.625 (37.051) Prec@5 63.125 (67.686) Epoch: [28][1710/11272] Time 0.777 (0.815) Data 0.002 (0.003) Loss 2.5578 (2.5932) Prec@1 41.875 (37.055) Prec@5 68.125 (67.687) Epoch: [28][1720/11272] Time 0.840 (0.815) Data 0.002 (0.003) Loss 2.5054 (2.5927) Prec@1 39.375 (37.072) Prec@5 68.750 (67.694) Epoch: [28][1730/11272] Time 0.946 (0.815) Data 0.002 (0.003) Loss 2.2319 (2.5925) Prec@1 45.625 (37.076) Prec@5 75.625 (67.698) Epoch: [28][1740/11272] Time 0.760 (0.815) Data 0.002 (0.003) Loss 2.5901 (2.5928) Prec@1 40.625 (37.074) Prec@5 71.250 (67.693) Epoch: [28][1750/11272] Time 0.783 (0.815) Data 0.002 (0.003) Loss 2.6791 (2.5927) Prec@1 35.000 (37.073) Prec@5 63.750 (67.695) Epoch: [28][1760/11272] Time 0.883 (0.815) Data 0.002 (0.003) Loss 2.7186 (2.5927) Prec@1 33.125 (37.072) Prec@5 63.125 (67.698) Epoch: [28][1770/11272] Time 0.858 (0.815) Data 0.002 (0.003) Loss 2.4189 (2.5927) Prec@1 41.875 (37.069) Prec@5 73.125 (67.698) Epoch: [28][1780/11272] Time 0.750 (0.815) Data 0.002 (0.003) Loss 2.8458 (2.5924) Prec@1 38.750 (37.073) Prec@5 60.625 (67.706) Epoch: [28][1790/11272] Time 0.788 (0.815) Data 0.002 (0.003) Loss 2.4292 (2.5920) Prec@1 40.000 (37.083) Prec@5 70.000 (67.711) Epoch: [28][1800/11272] Time 0.881 (0.815) Data 0.002 (0.003) Loss 2.8339 (2.5918) Prec@1 35.000 (37.085) Prec@5 62.500 (67.715) Epoch: [28][1810/11272] Time 0.749 (0.815) Data 0.001 (0.003) Loss 2.6538 (2.5919) Prec@1 39.375 (37.090) Prec@5 65.625 (67.715) Epoch: [28][1820/11272] Time 0.781 (0.815) Data 0.002 (0.003) Loss 2.5893 (2.5922) Prec@1 37.500 (37.085) Prec@5 66.250 (67.704) Epoch: [28][1830/11272] Time 0.846 (0.815) Data 0.002 (0.003) Loss 2.7647 (2.5926) Prec@1 36.250 (37.069) Prec@5 63.750 (67.698) Epoch: [28][1840/11272] Time 0.809 (0.815) Data 0.002 (0.003) Loss 2.8601 (2.5930) Prec@1 33.125 (37.060) Prec@5 66.875 (67.692) Epoch: [28][1850/11272] Time 0.729 (0.815) Data 0.001 (0.003) Loss 2.1238 (2.5931) Prec@1 50.625 (37.062) Prec@5 75.625 (67.690) Epoch: [28][1860/11272] Time 0.755 (0.815) Data 0.002 (0.003) Loss 2.5191 (2.5923) Prec@1 38.125 (37.073) Prec@5 68.750 (67.705) Epoch: [28][1870/11272] Time 0.886 (0.815) Data 0.002 (0.003) Loss 2.4469 (2.5922) Prec@1 37.500 (37.071) Prec@5 72.500 (67.706) Epoch: [28][1880/11272] Time 0.869 (0.815) Data 0.002 (0.003) Loss 2.8528 (2.5921) Prec@1 31.250 (37.066) Prec@5 61.250 (67.710) Epoch: [28][1890/11272] Time 0.763 (0.815) Data 0.001 (0.003) Loss 2.5421 (2.5924) Prec@1 40.625 (37.062) Prec@5 68.750 (67.701) Epoch: [28][1900/11272] Time 0.742 (0.815) Data 0.002 (0.003) Loss 2.6011 (2.5925) Prec@1 36.875 (37.064) Prec@5 67.500 (67.703) Epoch: [28][1910/11272] Time 0.869 (0.815) Data 0.002 (0.003) Loss 2.6635 (2.5927) Prec@1 36.250 (37.069) Prec@5 64.375 (67.694) Epoch: [28][1920/11272] Time 0.877 (0.815) Data 0.002 (0.003) Loss 2.8611 (2.5931) Prec@1 33.750 (37.063) Prec@5 64.375 (67.685) Epoch: [28][1930/11272] Time 0.770 (0.815) Data 0.002 (0.003) Loss 2.5753 (2.5932) Prec@1 38.750 (37.058) Prec@5 70.000 (67.684) Epoch: [28][1940/11272] Time 0.908 (0.815) Data 0.002 (0.003) Loss 2.6151 (2.5932) Prec@1 44.375 (37.069) Prec@5 68.125 (67.690) Epoch: [28][1950/11272] Time 0.858 (0.815) Data 0.002 (0.003) Loss 2.6991 (2.5934) Prec@1 32.500 (37.064) Prec@5 66.875 (67.685) Epoch: [28][1960/11272] Time 0.807 (0.815) Data 0.001 (0.003) Loss 2.5930 (2.5938) Prec@1 38.125 (37.054) Prec@5 66.875 (67.676) Epoch: [28][1970/11272] Time 0.741 (0.815) Data 0.001 (0.003) Loss 2.6220 (2.5940) Prec@1 37.500 (37.054) Prec@5 65.000 (67.674) Epoch: [28][1980/11272] Time 0.862 (0.815) Data 0.002 (0.003) Loss 2.1991 (2.5941) Prec@1 46.875 (37.047) Prec@5 76.875 (67.674) Epoch: [28][1990/11272] Time 0.919 (0.815) Data 0.002 (0.003) Loss 2.7727 (2.5942) Prec@1 35.625 (37.045) Prec@5 69.375 (67.677) Epoch: [28][2000/11272] Time 0.773 (0.815) Data 0.002 (0.003) Loss 2.6615 (2.5942) Prec@1 38.125 (37.050) Prec@5 68.125 (67.678) Epoch: [28][2010/11272] Time 0.735 (0.815) Data 0.002 (0.003) Loss 2.5497 (2.5942) Prec@1 40.000 (37.053) Prec@5 67.500 (67.678) Epoch: [28][2020/11272] Time 0.951 (0.815) Data 0.001 (0.003) Loss 2.5367 (2.5941) Prec@1 31.875 (37.047) Prec@5 71.250 (67.683) Epoch: [28][2030/11272] Time 0.842 (0.815) Data 0.002 (0.003) Loss 2.5943 (2.5945) Prec@1 33.750 (37.033) Prec@5 65.000 (67.672) Epoch: [28][2040/11272] Time 0.742 (0.815) Data 0.002 (0.003) Loss 2.3137 (2.5942) Prec@1 38.750 (37.031) Prec@5 71.250 (67.673) Epoch: [28][2050/11272] Time 0.759 (0.815) Data 0.002 (0.003) Loss 2.6246 (2.5941) Prec@1 37.500 (37.037) Prec@5 70.625 (67.679) Epoch: [28][2060/11272] Time 0.897 (0.815) Data 0.002 (0.003) Loss 2.8664 (2.5946) Prec@1 31.875 (37.031) Prec@5 62.500 (67.672) Epoch: [28][2070/11272] Time 0.771 (0.815) Data 0.004 (0.003) Loss 2.4581 (2.5943) Prec@1 38.125 (37.037) Prec@5 69.375 (67.677) Epoch: [28][2080/11272] Time 0.788 (0.815) Data 0.002 (0.003) Loss 2.5406 (2.5945) Prec@1 36.875 (37.035) Prec@5 65.000 (67.669) Epoch: [28][2090/11272] Time 0.900 (0.815) Data 0.002 (0.003) Loss 2.5879 (2.5941) Prec@1 38.750 (37.040) Prec@5 65.625 (67.677) Epoch: [28][2100/11272] Time 0.933 (0.815) Data 0.002 (0.003) Loss 2.6431 (2.5939) Prec@1 36.250 (37.041) Prec@5 59.375 (67.674) Epoch: [28][2110/11272] Time 0.804 (0.815) Data 0.002 (0.003) Loss 2.4567 (2.5939) Prec@1 45.000 (37.048) Prec@5 69.375 (67.673) Epoch: [28][2120/11272] Time 0.784 (0.815) Data 0.002 (0.003) Loss 2.6698 (2.5939) Prec@1 33.750 (37.045) Prec@5 68.125 (67.675) Epoch: [28][2130/11272] Time 0.905 (0.815) Data 0.002 (0.003) Loss 2.4756 (2.5937) Prec@1 39.375 (37.047) Prec@5 71.250 (67.678) Epoch: [28][2140/11272] Time 0.881 (0.815) Data 0.002 (0.003) Loss 2.4712 (2.5936) Prec@1 40.625 (37.053) Prec@5 69.375 (67.681) Epoch: [28][2150/11272] Time 0.750 (0.815) Data 0.002 (0.003) Loss 2.4359 (2.5936) Prec@1 33.750 (37.049) Prec@5 71.250 (67.685) Epoch: [28][2160/11272] Time 0.755 (0.815) Data 0.002 (0.003) Loss 2.8954 (2.5936) Prec@1 28.125 (37.048) Prec@5 63.750 (67.682) Epoch: [28][2170/11272] Time 0.919 (0.815) Data 0.002 (0.003) Loss 2.6523 (2.5936) Prec@1 36.875 (37.048) Prec@5 64.375 (67.681) Epoch: [28][2180/11272] Time 0.928 (0.815) Data 0.002 (0.003) Loss 2.6418 (2.5937) Prec@1 38.750 (37.048) Prec@5 66.875 (67.679) Epoch: [28][2190/11272] Time 0.767 (0.815) Data 0.002 (0.003) Loss 2.6374 (2.5936) Prec@1 36.875 (37.056) Prec@5 66.875 (67.679) Epoch: [28][2200/11272] Time 0.892 (0.816) Data 0.002 (0.003) Loss 2.5336 (2.5934) Prec@1 37.500 (37.056) Prec@5 74.375 (67.691) Epoch: [28][2210/11272] Time 0.876 (0.816) Data 0.002 (0.003) Loss 2.4390 (2.5928) Prec@1 38.750 (37.071) Prec@5 71.250 (67.701) Epoch: [28][2220/11272] Time 0.771 (0.815) Data 0.001 (0.003) Loss 2.5474 (2.5926) Prec@1 37.500 (37.083) Prec@5 70.000 (67.703) Epoch: [28][2230/11272] Time 0.733 (0.815) Data 0.002 (0.003) Loss 2.4829 (2.5920) Prec@1 41.250 (37.095) Prec@5 70.625 (67.713) Epoch: [28][2240/11272] Time 0.917 (0.815) Data 0.002 (0.003) Loss 2.6613 (2.5919) Prec@1 32.500 (37.100) Prec@5 66.250 (67.713) Epoch: [28][2250/11272] Time 0.897 (0.816) Data 0.002 (0.003) Loss 2.4529 (2.5914) Prec@1 40.625 (37.104) Prec@5 71.250 (67.726) Epoch: [28][2260/11272] Time 0.748 (0.815) Data 0.002 (0.003) Loss 2.7020 (2.5913) Prec@1 38.125 (37.110) Prec@5 66.875 (67.727) Epoch: [28][2270/11272] Time 0.761 (0.815) Data 0.002 (0.003) Loss 2.4392 (2.5913) Prec@1 36.875 (37.116) Prec@5 71.875 (67.727) Epoch: [28][2280/11272] Time 0.865 (0.815) Data 0.001 (0.003) Loss 2.6704 (2.5913) Prec@1 35.625 (37.113) Prec@5 64.375 (67.725) Epoch: [28][2290/11272] Time 0.918 (0.816) Data 0.002 (0.003) Loss 2.5726 (2.5913) Prec@1 35.625 (37.120) Prec@5 70.625 (67.723) Epoch: [28][2300/11272] Time 0.748 (0.816) Data 0.002 (0.003) Loss 2.5971 (2.5914) Prec@1 38.750 (37.121) Prec@5 67.500 (67.725) Epoch: [28][2310/11272] Time 0.754 (0.816) Data 0.001 (0.003) Loss 2.6678 (2.5912) Prec@1 34.375 (37.121) Prec@5 66.250 (67.726) Epoch: [28][2320/11272] Time 0.881 (0.816) Data 0.002 (0.003) Loss 2.5595 (2.5912) Prec@1 36.250 (37.119) Prec@5 66.875 (67.726) Epoch: [28][2330/11272] Time 0.733 (0.816) Data 0.003 (0.003) Loss 2.5223 (2.5911) Prec@1 33.125 (37.116) Prec@5 70.625 (67.730) Epoch: [28][2340/11272] Time 0.792 (0.816) Data 0.002 (0.003) Loss 2.3011 (2.5910) Prec@1 44.375 (37.114) Prec@5 71.875 (67.731) Epoch: [28][2350/11272] Time 0.832 (0.816) Data 0.002 (0.003) Loss 2.8444 (2.5910) Prec@1 35.625 (37.112) Prec@5 63.750 (67.730) Epoch: [28][2360/11272] Time 0.921 (0.816) Data 0.002 (0.003) Loss 2.4838 (2.5911) Prec@1 37.500 (37.108) Prec@5 70.000 (67.732) Epoch: [28][2370/11272] Time 0.760 (0.816) Data 0.002 (0.003) Loss 2.8070 (2.5915) Prec@1 35.625 (37.101) Prec@5 62.500 (67.721) Epoch: [28][2380/11272] Time 0.749 (0.816) Data 0.002 (0.003) Loss 2.5500 (2.5917) Prec@1 37.500 (37.098) Prec@5 70.000 (67.713) Epoch: [28][2390/11272] Time 0.859 (0.816) Data 0.002 (0.003) Loss 2.6750 (2.5919) Prec@1 40.000 (37.098) Prec@5 61.250 (67.708) Epoch: [28][2400/11272] Time 0.914 (0.816) Data 0.002 (0.003) Loss 2.6717 (2.5922) Prec@1 34.375 (37.098) Prec@5 67.500 (67.706) Epoch: [28][2410/11272] Time 0.817 (0.816) Data 0.002 (0.003) Loss 2.6529 (2.5922) Prec@1 34.375 (37.096) Prec@5 69.375 (67.711) Epoch: [28][2420/11272] Time 0.781 (0.816) Data 0.002 (0.003) Loss 2.8157 (2.5921) Prec@1 33.125 (37.092) Prec@5 64.375 (67.711) Epoch: [28][2430/11272] Time 0.930 (0.816) Data 0.002 (0.003) Loss 2.5462 (2.5919) Prec@1 37.500 (37.094) Prec@5 68.750 (67.718) Epoch: [28][2440/11272] Time 0.864 (0.816) Data 0.001 (0.003) Loss 2.6530 (2.5919) Prec@1 36.250 (37.095) Prec@5 65.000 (67.720) Epoch: [28][2450/11272] Time 0.755 (0.816) Data 0.002 (0.003) Loss 2.5985 (2.5919) Prec@1 30.000 (37.091) Prec@5 66.875 (67.716) Epoch: [28][2460/11272] Time 0.935 (0.816) Data 0.002 (0.003) Loss 2.6134 (2.5922) Prec@1 35.000 (37.081) Prec@5 67.500 (67.707) Epoch: [28][2470/11272] Time 0.893 (0.816) Data 0.002 (0.003) Loss 2.8686 (2.5924) Prec@1 33.125 (37.082) Prec@5 63.125 (67.703) Epoch: [28][2480/11272] Time 0.800 (0.816) Data 0.001 (0.003) Loss 2.5051 (2.5925) Prec@1 41.250 (37.081) Prec@5 69.375 (67.702) Epoch: [28][2490/11272] Time 0.795 (0.816) Data 0.002 (0.003) Loss 2.4959 (2.5924) Prec@1 38.750 (37.083) Prec@5 70.000 (67.705) Epoch: [28][2500/11272] Time 0.939 (0.816) Data 0.001 (0.003) Loss 2.4710 (2.5922) Prec@1 38.750 (37.085) Prec@5 71.875 (67.707) Epoch: [28][2510/11272] Time 0.913 (0.816) Data 0.002 (0.003) Loss 2.6128 (2.5922) Prec@1 43.750 (37.086) Prec@5 69.375 (67.707) Epoch: [28][2520/11272] Time 0.763 (0.816) Data 0.002 (0.003) Loss 2.7232 (2.5921) Prec@1 30.625 (37.087) Prec@5 67.500 (67.708) Epoch: [28][2530/11272] Time 0.778 (0.816) Data 0.002 (0.003) Loss 2.7749 (2.5921) Prec@1 41.250 (37.087) Prec@5 67.500 (67.710) Epoch: [28][2540/11272] Time 0.889 (0.816) Data 0.002 (0.003) Loss 2.7716 (2.5922) Prec@1 33.125 (37.081) Prec@5 61.875 (67.706) Epoch: [28][2550/11272] Time 0.889 (0.816) Data 0.002 (0.003) Loss 2.5511 (2.5923) Prec@1 38.125 (37.080) Prec@5 66.875 (67.702) Epoch: [28][2560/11272] Time 0.728 (0.816) Data 0.002 (0.003) Loss 2.5084 (2.5925) Prec@1 33.125 (37.075) Prec@5 67.500 (67.703) Epoch: [28][2570/11272] Time 0.743 (0.816) Data 0.002 (0.003) Loss 2.5549 (2.5927) Prec@1 35.000 (37.068) Prec@5 67.500 (67.697) Epoch: [28][2580/11272] Time 0.849 (0.816) Data 0.002 (0.003) Loss 2.6082 (2.5927) Prec@1 36.875 (37.067) Prec@5 65.000 (67.696) Epoch: [28][2590/11272] Time 0.875 (0.816) Data 0.001 (0.002) Loss 2.6928 (2.5927) Prec@1 35.625 (37.066) Prec@5 63.750 (67.696) Epoch: [28][2600/11272] Time 0.725 (0.816) Data 0.002 (0.002) Loss 2.7851 (2.5930) Prec@1 30.000 (37.062) Prec@5 59.375 (67.689) Epoch: [28][2610/11272] Time 0.851 (0.816) Data 0.002 (0.002) Loss 2.6349 (2.5929) Prec@1 36.250 (37.068) Prec@5 68.125 (67.696) Epoch: [28][2620/11272] Time 0.920 (0.817) Data 0.001 (0.002) Loss 2.6813 (2.5926) Prec@1 38.125 (37.078) Prec@5 65.000 (67.700) Epoch: [28][2630/11272] Time 0.730 (0.816) Data 0.001 (0.002) Loss 2.3511 (2.5927) Prec@1 43.125 (37.071) Prec@5 76.250 (67.703) Epoch: [28][2640/11272] Time 0.749 (0.816) Data 0.002 (0.002) Loss 2.2974 (2.5927) Prec@1 46.250 (37.074) Prec@5 72.500 (67.700) Epoch: [28][2650/11272] Time 0.892 (0.816) Data 0.002 (0.002) Loss 2.6987 (2.5928) Prec@1 33.750 (37.070) Prec@5 64.375 (67.700) Epoch: [28][2660/11272] Time 0.890 (0.816) Data 0.002 (0.002) Loss 2.5778 (2.5927) Prec@1 36.875 (37.071) Prec@5 67.500 (67.703) Epoch: [28][2670/11272] Time 0.754 (0.816) Data 0.002 (0.002) Loss 2.6180 (2.5928) Prec@1 28.750 (37.073) Prec@5 67.500 (67.704) Epoch: [28][2680/11272] Time 0.762 (0.816) Data 0.002 (0.002) Loss 2.4782 (2.5928) Prec@1 35.000 (37.066) Prec@5 66.250 (67.696) Epoch: [28][2690/11272] Time 0.865 (0.816) Data 0.001 (0.002) Loss 2.5373 (2.5924) Prec@1 33.125 (37.070) Prec@5 67.500 (67.700) Epoch: [28][2700/11272] Time 0.918 (0.816) Data 0.002 (0.002) Loss 2.6991 (2.5923) Prec@1 33.750 (37.076) Prec@5 62.500 (67.700) Epoch: [28][2710/11272] Time 0.756 (0.816) Data 0.002 (0.002) Loss 2.3777 (2.5922) Prec@1 38.125 (37.078) Prec@5 70.625 (67.702) Epoch: [28][2720/11272] Time 0.773 (0.816) Data 0.002 (0.002) Loss 2.4379 (2.5922) Prec@1 37.500 (37.080) Prec@5 74.375 (67.703) Epoch: [28][2730/11272] Time 0.879 (0.816) Data 0.001 (0.002) Loss 2.7074 (2.5924) Prec@1 35.625 (37.080) Prec@5 66.250 (67.701) Epoch: [28][2740/11272] Time 0.772 (0.816) Data 0.001 (0.002) Loss 2.7417 (2.5924) Prec@1 33.750 (37.073) Prec@5 62.500 (67.699) Epoch: [28][2750/11272] Time 0.711 (0.816) Data 0.001 (0.002) Loss 2.5912 (2.5927) Prec@1 38.125 (37.064) Prec@5 63.750 (67.697) Epoch: [28][2760/11272] Time 0.879 (0.816) Data 0.002 (0.002) Loss 2.6184 (2.5923) Prec@1 36.250 (37.072) Prec@5 65.000 (67.701) Epoch: [28][2770/11272] Time 0.876 (0.816) Data 0.002 (0.002) Loss 2.7302 (2.5920) Prec@1 37.500 (37.080) Prec@5 62.500 (67.707) Epoch: [28][2780/11272] Time 0.746 (0.816) Data 0.002 (0.002) Loss 2.6965 (2.5922) Prec@1 32.500 (37.070) Prec@5 64.375 (67.702) Epoch: [28][2790/11272] Time 0.765 (0.816) Data 0.002 (0.002) Loss 2.5733 (2.5921) Prec@1 34.375 (37.068) Prec@5 66.250 (67.705) Epoch: [28][2800/11272] Time 0.904 (0.816) Data 0.002 (0.002) Loss 2.5954 (2.5922) Prec@1 40.000 (37.059) Prec@5 65.000 (67.706) Epoch: [28][2810/11272] Time 0.910 (0.816) Data 0.002 (0.002) Loss 2.8723 (2.5923) Prec@1 39.375 (37.058) Prec@5 64.375 (67.703) Epoch: [28][2820/11272] Time 0.747 (0.816) Data 0.002 (0.002) Loss 2.4646 (2.5925) Prec@1 42.500 (37.062) Prec@5 70.625 (67.701) Epoch: [28][2830/11272] Time 0.707 (0.816) Data 0.001 (0.002) Loss 2.7933 (2.5924) Prec@1 36.250 (37.062) Prec@5 62.500 (67.701) Epoch: [28][2840/11272] Time 0.887 (0.817) Data 0.002 (0.002) Loss 2.4413 (2.5925) Prec@1 39.375 (37.062) Prec@5 69.375 (67.700) Epoch: [28][2850/11272] Time 0.897 (0.817) Data 0.002 (0.002) Loss 2.7822 (2.5930) Prec@1 37.500 (37.055) Prec@5 66.250 (67.693) Epoch: [28][2860/11272] Time 0.734 (0.817) Data 0.002 (0.002) Loss 2.3190 (2.5927) Prec@1 40.625 (37.060) Prec@5 70.625 (67.701) Epoch: [28][2870/11272] Time 0.873 (0.817) Data 0.002 (0.002) Loss 2.8553 (2.5926) Prec@1 32.500 (37.059) Prec@5 65.625 (67.707) Epoch: [28][2880/11272] Time 0.857 (0.817) Data 0.002 (0.002) Loss 2.5425 (2.5926) Prec@1 40.000 (37.055) Prec@5 68.125 (67.709) Epoch: [28][2890/11272] Time 0.738 (0.817) Data 0.002 (0.002) Loss 2.5264 (2.5928) Prec@1 33.750 (37.049) Prec@5 68.750 (67.707) Epoch: [28][2900/11272] Time 0.749 (0.817) Data 0.002 (0.002) Loss 2.6111 (2.5929) Prec@1 35.625 (37.052) Prec@5 65.625 (67.704) Epoch: [28][2910/11272] Time 0.883 (0.816) Data 0.002 (0.002) Loss 2.4962 (2.5929) Prec@1 36.875 (37.050) Prec@5 69.375 (67.700) Epoch: [28][2920/11272] Time 0.889 (0.816) Data 0.002 (0.002) Loss 2.4943 (2.5931) Prec@1 40.625 (37.046) Prec@5 63.750 (67.694) Epoch: [28][2930/11272] Time 0.798 (0.816) Data 0.002 (0.002) Loss 2.8467 (2.5934) Prec@1 35.000 (37.045) Prec@5 64.375 (67.685) Epoch: [28][2940/11272] Time 0.729 (0.816) Data 0.001 (0.002) Loss 2.6540 (2.5936) Prec@1 37.500 (37.046) Prec@5 68.125 (67.679) Epoch: [28][2950/11272] Time 0.876 (0.817) Data 0.002 (0.002) Loss 2.7048 (2.5939) Prec@1 35.625 (37.039) Prec@5 63.750 (67.672) Epoch: [28][2960/11272] Time 0.837 (0.817) Data 0.002 (0.002) Loss 2.5105 (2.5936) Prec@1 36.875 (37.044) Prec@5 69.375 (67.677) Epoch: [28][2970/11272] Time 0.769 (0.817) Data 0.002 (0.002) Loss 2.5223 (2.5936) Prec@1 36.875 (37.047) Prec@5 70.625 (67.681) Epoch: [28][2980/11272] Time 0.732 (0.817) Data 0.002 (0.002) Loss 2.5611 (2.5936) Prec@1 36.875 (37.046) Prec@5 68.750 (67.680) Epoch: [28][2990/11272] Time 0.882 (0.817) Data 0.002 (0.002) Loss 2.5426 (2.5935) Prec@1 38.750 (37.045) Prec@5 66.875 (67.682) Epoch: [28][3000/11272] Time 0.763 (0.816) Data 0.004 (0.002) Loss 2.6420 (2.5934) Prec@1 38.750 (37.050) Prec@5 65.625 (67.682) Epoch: [28][3010/11272] Time 0.776 (0.816) Data 0.002 (0.002) Loss 2.6851 (2.5936) Prec@1 37.500 (37.046) Prec@5 66.250 (67.681) Epoch: [28][3020/11272] Time 0.847 (0.817) Data 0.002 (0.002) Loss 2.2725 (2.5935) Prec@1 44.375 (37.042) Prec@5 73.750 (67.685) Epoch: [28][3030/11272] Time 0.860 (0.817) Data 0.002 (0.002) Loss 2.6386 (2.5936) Prec@1 36.875 (37.039) Prec@5 68.125 (67.682) Epoch: [28][3040/11272] Time 0.754 (0.817) Data 0.002 (0.002) Loss 2.7065 (2.5936) Prec@1 37.500 (37.043) Prec@5 65.625 (67.679) Epoch: [28][3050/11272] Time 0.769 (0.817) Data 0.002 (0.002) Loss 2.7477 (2.5933) Prec@1 41.250 (37.048) Prec@5 63.125 (67.684) Epoch: [28][3060/11272] Time 0.913 (0.817) Data 0.002 (0.002) Loss 2.3517 (2.5935) Prec@1 45.625 (37.043) Prec@5 65.625 (67.674) Epoch: [28][3070/11272] Time 0.934 (0.817) Data 0.002 (0.002) Loss 2.6133 (2.5933) Prec@1 39.375 (37.048) Prec@5 68.750 (67.679) Epoch: [28][3080/11272] Time 0.793 (0.817) Data 0.002 (0.002) Loss 2.9786 (2.5935) Prec@1 32.500 (37.045) Prec@5 60.000 (67.675) Epoch: [28][3090/11272] Time 0.748 (0.817) Data 0.002 (0.002) Loss 2.4408 (2.5932) Prec@1 38.125 (37.046) Prec@5 70.000 (67.681) Epoch: [28][3100/11272] Time 0.920 (0.817) Data 0.002 (0.002) Loss 2.6857 (2.5932) Prec@1 38.750 (37.046) Prec@5 63.125 (67.684) Epoch: [28][3110/11272] Time 0.840 (0.817) Data 0.002 (0.002) Loss 2.5336 (2.5932) Prec@1 33.750 (37.045) Prec@5 73.125 (67.681) Epoch: [28][3120/11272] Time 0.795 (0.817) Data 0.002 (0.002) Loss 2.5705 (2.5934) Prec@1 37.500 (37.042) Prec@5 71.875 (67.679) Epoch: [28][3130/11272] Time 0.858 (0.817) Data 0.002 (0.002) Loss 2.5842 (2.5933) Prec@1 36.875 (37.051) Prec@5 66.250 (67.682) Epoch: [28][3140/11272] Time 0.869 (0.817) Data 0.002 (0.002) Loss 2.4373 (2.5930) Prec@1 43.125 (37.059) Prec@5 68.125 (67.689) Epoch: [28][3150/11272] Time 0.739 (0.817) Data 0.001 (0.002) Loss 2.4221 (2.5928) Prec@1 36.875 (37.061) Prec@5 69.375 (67.691) Epoch: [28][3160/11272] Time 0.779 (0.817) Data 0.002 (0.002) Loss 2.3734 (2.5926) Prec@1 42.500 (37.064) Prec@5 73.750 (67.694) Epoch: [28][3170/11272] Time 0.889 (0.817) Data 0.002 (0.002) Loss 2.4712 (2.5929) Prec@1 38.750 (37.060) Prec@5 73.125 (67.691) Epoch: [28][3180/11272] Time 0.852 (0.817) Data 0.002 (0.002) Loss 2.6266 (2.5929) Prec@1 32.500 (37.059) Prec@5 68.750 (67.690) Epoch: [28][3190/11272] Time 0.755 (0.817) Data 0.002 (0.002) Loss 2.7550 (2.5930) Prec@1 31.875 (37.056) Prec@5 66.250 (67.686) Epoch: [28][3200/11272] Time 0.773 (0.817) Data 0.002 (0.002) Loss 2.7326 (2.5930) Prec@1 35.000 (37.057) Prec@5 63.125 (67.684) Epoch: [28][3210/11272] Time 0.862 (0.817) Data 0.001 (0.002) Loss 2.6717 (2.5930) Prec@1 33.750 (37.055) Prec@5 62.500 (67.682) Epoch: [28][3220/11272] Time 0.852 (0.817) Data 0.002 (0.002) Loss 2.4228 (2.5930) Prec@1 35.000 (37.052) Prec@5 68.750 (67.681) Epoch: [28][3230/11272] Time 0.803 (0.817) Data 0.002 (0.002) Loss 2.7281 (2.5931) Prec@1 32.500 (37.049) Prec@5 66.250 (67.679) Epoch: [28][3240/11272] Time 0.788 (0.817) Data 0.002 (0.002) Loss 2.5652 (2.5931) Prec@1 33.750 (37.044) Prec@5 66.875 (67.680) Epoch: [28][3250/11272] Time 0.857 (0.817) Data 0.002 (0.002) Loss 2.4536 (2.5931) Prec@1 37.500 (37.043) Prec@5 66.250 (67.682) Epoch: [28][3260/11272] Time 0.731 (0.817) Data 0.004 (0.002) Loss 2.3965 (2.5931) Prec@1 36.875 (37.040) Prec@5 74.375 (67.682) Epoch: [28][3270/11272] Time 0.741 (0.817) Data 0.002 (0.002) Loss 2.3533 (2.5931) Prec@1 44.375 (37.043) Prec@5 74.375 (67.681) Epoch: [28][3280/11272] Time 0.857 (0.817) Data 0.002 (0.002) Loss 2.6581 (2.5929) Prec@1 38.125 (37.048) Prec@5 66.250 (67.685) Epoch: [28][3290/11272] Time 0.867 (0.817) Data 0.002 (0.002) Loss 2.7377 (2.5926) Prec@1 34.375 (37.051) Prec@5 66.250 (67.690) Epoch: [28][3300/11272] Time 0.788 (0.817) Data 0.002 (0.002) Loss 2.4894 (2.5927) Prec@1 38.750 (37.049) Prec@5 71.250 (67.690) Epoch: [28][3310/11272] Time 0.775 (0.817) Data 0.001 (0.002) Loss 2.5790 (2.5927) Prec@1 34.375 (37.046) Prec@5 68.750 (67.688) Epoch: [28][3320/11272] Time 0.868 (0.817) Data 0.002 (0.002) Loss 2.5487 (2.5926) Prec@1 34.375 (37.047) Prec@5 66.250 (67.692) Epoch: [28][3330/11272] Time 0.935 (0.817) Data 0.002 (0.002) Loss 2.4314 (2.5923) Prec@1 40.000 (37.054) Prec@5 69.375 (67.699) Epoch: [28][3340/11272] Time 0.739 (0.817) Data 0.002 (0.002) Loss 2.4130 (2.5924) Prec@1 39.375 (37.053) Prec@5 70.625 (67.700) Epoch: [28][3350/11272] Time 0.778 (0.817) Data 0.002 (0.002) Loss 2.6278 (2.5923) Prec@1 36.875 (37.053) Prec@5 66.875 (67.703) Epoch: [28][3360/11272] Time 0.877 (0.817) Data 0.002 (0.002) Loss 2.5074 (2.5922) Prec@1 38.125 (37.053) Prec@5 72.500 (67.708) Epoch: [28][3370/11272] Time 0.875 (0.817) Data 0.001 (0.002) Loss 2.5092 (2.5921) Prec@1 36.875 (37.054) Prec@5 71.250 (67.711) Epoch: [28][3380/11272] Time 0.760 (0.817) Data 0.002 (0.002) Loss 2.6762 (2.5922) Prec@1 33.750 (37.054) Prec@5 70.000 (67.708) Epoch: [28][3390/11272] Time 0.873 (0.817) Data 0.002 (0.002) Loss 2.5361 (2.5924) Prec@1 36.875 (37.052) Prec@5 69.375 (67.704) Epoch: [28][3400/11272] Time 0.849 (0.817) Data 0.002 (0.002) Loss 2.5311 (2.5924) Prec@1 36.875 (37.048) Prec@5 70.625 (67.707) Epoch: [28][3410/11272] Time 0.745 (0.817) Data 0.002 (0.002) Loss 2.5947 (2.5923) Prec@1 38.125 (37.050) Prec@5 70.000 (67.713) Epoch: [28][3420/11272] Time 0.799 (0.817) Data 0.002 (0.002) Loss 2.6753 (2.5923) Prec@1 41.875 (37.050) Prec@5 68.750 (67.712) Epoch: [28][3430/11272] Time 0.906 (0.817) Data 0.002 (0.002) Loss 2.6551 (2.5922) Prec@1 36.250 (37.054) Prec@5 66.875 (67.710) Epoch: [28][3440/11272] Time 0.896 (0.817) Data 0.002 (0.002) Loss 2.5510 (2.5921) Prec@1 39.375 (37.055) Prec@5 69.375 (67.716) Epoch: [28][3450/11272] Time 0.766 (0.817) Data 0.002 (0.002) Loss 2.4949 (2.5920) Prec@1 37.500 (37.056) Prec@5 72.500 (67.719) Epoch: [28][3460/11272] Time 0.789 (0.817) Data 0.001 (0.002) Loss 2.7689 (2.5919) Prec@1 30.625 (37.060) Prec@5 64.375 (67.722) Epoch: [28][3470/11272] Time 0.917 (0.817) Data 0.002 (0.002) Loss 2.4273 (2.5919) Prec@1 36.875 (37.056) Prec@5 70.000 (67.717) Epoch: [28][3480/11272] Time 0.858 (0.817) Data 0.002 (0.002) Loss 2.4666 (2.5916) Prec@1 41.250 (37.064) Prec@5 71.250 (67.725) Epoch: [28][3490/11272] Time 0.746 (0.817) Data 0.002 (0.002) Loss 2.2336 (2.5914) Prec@1 42.500 (37.063) Prec@5 75.625 (67.731) Epoch: [28][3500/11272] Time 0.759 (0.817) Data 0.001 (0.002) Loss 2.8878 (2.5915) Prec@1 36.875 (37.065) Prec@5 63.750 (67.727) Epoch: [28][3510/11272] Time 0.955 (0.817) Data 0.002 (0.002) Loss 2.5225 (2.5915) Prec@1 35.625 (37.064) Prec@5 66.875 (67.727) Epoch: [28][3520/11272] Time 0.911 (0.817) Data 0.002 (0.002) Loss 2.6514 (2.5914) Prec@1 33.125 (37.062) Prec@5 65.000 (67.727) Epoch: [28][3530/11272] Time 0.815 (0.817) Data 0.002 (0.002) Loss 2.5690 (2.5915) Prec@1 37.500 (37.060) Prec@5 69.375 (67.728) Epoch: [28][3540/11272] Time 0.881 (0.817) Data 0.002 (0.002) Loss 2.6012 (2.5917) Prec@1 38.125 (37.056) Prec@5 65.625 (67.725) Epoch: [28][3550/11272] Time 0.841 (0.817) Data 0.002 (0.002) Loss 2.7318 (2.5919) Prec@1 38.125 (37.055) Prec@5 65.000 (67.722) Epoch: [28][3560/11272] Time 0.736 (0.817) Data 0.002 (0.002) Loss 2.7246 (2.5917) Prec@1 31.250 (37.057) Prec@5 65.000 (67.724) Epoch: [28][3570/11272] Time 0.778 (0.817) Data 0.002 (0.002) Loss 2.5712 (2.5915) Prec@1 36.875 (37.063) Prec@5 73.125 (67.731) Epoch: [28][3580/11272] Time 0.832 (0.817) Data 0.001 (0.002) Loss 2.6116 (2.5915) Prec@1 35.000 (37.058) Prec@5 63.750 (67.733) Epoch: [28][3590/11272] Time 0.893 (0.817) Data 0.002 (0.002) Loss 2.6583 (2.5917) Prec@1 41.875 (37.057) Prec@5 65.000 (67.729) Epoch: [28][3600/11272] Time 0.753 (0.817) Data 0.002 (0.002) Loss 2.5455 (2.5915) Prec@1 35.625 (37.057) Prec@5 68.125 (67.728) Epoch: [28][3610/11272] Time 0.792 (0.817) Data 0.001 (0.002) Loss 2.4279 (2.5915) Prec@1 43.125 (37.056) Prec@5 68.125 (67.730) Epoch: [28][3620/11272] Time 0.897 (0.817) Data 0.002 (0.002) Loss 2.5688 (2.5915) Prec@1 37.500 (37.052) Prec@5 70.000 (67.730) Epoch: [28][3630/11272] Time 0.852 (0.817) Data 0.002 (0.002) Loss 2.6708 (2.5915) Prec@1 31.250 (37.051) Prec@5 68.125 (67.730) Epoch: [28][3640/11272] Time 0.791 (0.817) Data 0.002 (0.002) Loss 2.4346 (2.5914) Prec@1 38.750 (37.049) Prec@5 69.375 (67.733) Epoch: [28][3650/11272] Time 0.823 (0.817) Data 0.002 (0.002) Loss 2.6672 (2.5914) Prec@1 39.375 (37.050) Prec@5 72.500 (67.737) Epoch: [28][3660/11272] Time 0.866 (0.817) Data 0.002 (0.002) Loss 2.6417 (2.5916) Prec@1 35.625 (37.047) Prec@5 66.250 (67.734) Epoch: [28][3670/11272] Time 0.725 (0.817) Data 0.001 (0.002) Loss 2.6507 (2.5917) Prec@1 42.500 (37.047) Prec@5 66.250 (67.731) Epoch: [28][3680/11272] Time 0.741 (0.817) Data 0.002 (0.002) Loss 2.4714 (2.5914) Prec@1 40.000 (37.050) Prec@5 73.125 (67.736) Epoch: [28][3690/11272] Time 0.878 (0.817) Data 0.001 (0.002) Loss 2.8607 (2.5916) Prec@1 35.625 (37.049) Prec@5 63.750 (67.732) Epoch: [28][3700/11272] Time 0.837 (0.817) Data 0.002 (0.002) Loss 2.5675 (2.5917) Prec@1 41.250 (37.050) Prec@5 68.750 (67.729) Epoch: [28][3710/11272] Time 0.765 (0.817) Data 0.001 (0.002) Loss 2.6363 (2.5916) Prec@1 31.250 (37.046) Prec@5 68.125 (67.733) Epoch: [28][3720/11272] Time 0.732 (0.817) Data 0.001 (0.002) Loss 2.6456 (2.5916) Prec@1 35.625 (37.050) Prec@5 67.500 (67.735) Epoch: [28][3730/11272] Time 0.870 (0.817) Data 0.002 (0.002) Loss 2.6490 (2.5918) Prec@1 36.250 (37.049) Prec@5 66.875 (67.732) Epoch: [28][3740/11272] Time 0.856 (0.817) Data 0.002 (0.002) Loss 2.6970 (2.5919) Prec@1 39.375 (37.049) Prec@5 62.500 (67.729) Epoch: [28][3750/11272] Time 0.735 (0.817) Data 0.002 (0.002) Loss 2.7276 (2.5916) Prec@1 29.375 (37.054) Prec@5 64.375 (67.737) Epoch: [28][3760/11272] Time 0.751 (0.817) Data 0.002 (0.002) Loss 2.6640 (2.5916) Prec@1 37.500 (37.054) Prec@5 69.375 (67.737) Epoch: [28][3770/11272] Time 0.901 (0.817) Data 0.002 (0.002) Loss 2.5073 (2.5915) Prec@1 33.750 (37.053) Prec@5 70.000 (67.738) Epoch: [28][3780/11272] Time 0.852 (0.817) Data 0.002 (0.002) Loss 2.5388 (2.5915) Prec@1 39.375 (37.050) Prec@5 68.750 (67.739) Epoch: [28][3790/11272] Time 0.762 (0.817) Data 0.002 (0.002) Loss 2.5881 (2.5917) Prec@1 40.625 (37.049) Prec@5 69.375 (67.734) Epoch: [28][3800/11272] Time 0.865 (0.817) Data 0.002 (0.002) Loss 2.5502 (2.5916) Prec@1 38.750 (37.052) Prec@5 65.000 (67.731) Epoch: [28][3810/11272] Time 0.902 (0.817) Data 0.002 (0.002) Loss 2.6520 (2.5918) Prec@1 36.875 (37.051) Prec@5 72.500 (67.732) Epoch: [28][3820/11272] Time 0.804 (0.817) Data 0.002 (0.002) Loss 2.6153 (2.5918) Prec@1 35.000 (37.050) Prec@5 69.375 (67.735) Epoch: [28][3830/11272] Time 0.790 (0.817) Data 0.001 (0.002) Loss 2.4294 (2.5917) Prec@1 43.125 (37.052) Prec@5 70.625 (67.735) Epoch: [28][3840/11272] Time 0.846 (0.817) Data 0.002 (0.002) Loss 2.4761 (2.5915) Prec@1 38.125 (37.055) Prec@5 70.000 (67.743) Epoch: [28][3850/11272] Time 0.899 (0.817) Data 0.001 (0.002) Loss 2.4896 (2.5916) Prec@1 43.750 (37.053) Prec@5 71.875 (67.742) Epoch: [28][3860/11272] Time 0.756 (0.817) Data 0.002 (0.002) Loss 2.6249 (2.5916) Prec@1 31.250 (37.050) Prec@5 64.375 (67.741) Epoch: [28][3870/11272] Time 0.792 (0.817) Data 0.001 (0.002) Loss 2.5287 (2.5918) Prec@1 38.750 (37.052) Prec@5 67.500 (67.739) Epoch: [28][3880/11272] Time 0.904 (0.817) Data 0.002 (0.002) Loss 2.4185 (2.5917) Prec@1 45.625 (37.053) Prec@5 67.500 (67.738) Epoch: [28][3890/11272] Time 0.840 (0.817) Data 0.002 (0.002) Loss 2.7078 (2.5917) Prec@1 35.625 (37.057) Prec@5 65.625 (67.734) Epoch: [28][3900/11272] Time 0.746 (0.817) Data 0.002 (0.002) Loss 2.7738 (2.5919) Prec@1 30.000 (37.058) Prec@5 63.750 (67.731) Epoch: [28][3910/11272] Time 0.778 (0.817) Data 0.002 (0.002) Loss 2.5946 (2.5918) Prec@1 36.875 (37.059) Prec@5 67.500 (67.736) Epoch: [28][3920/11272] Time 0.860 (0.817) Data 0.002 (0.002) Loss 2.8315 (2.5918) Prec@1 32.500 (37.060) Prec@5 60.000 (67.732) Epoch: [28][3930/11272] Time 0.752 (0.817) Data 0.005 (0.002) Loss 2.4847 (2.5917) Prec@1 39.375 (37.061) Prec@5 71.875 (67.739) Epoch: [28][3940/11272] Time 0.755 (0.817) Data 0.002 (0.002) Loss 2.5984 (2.5915) Prec@1 38.125 (37.063) Prec@5 69.375 (67.744) Epoch: [28][3950/11272] Time 0.903 (0.817) Data 0.002 (0.002) Loss 2.6317 (2.5914) Prec@1 40.000 (37.069) Prec@5 65.625 (67.746) Epoch: [28][3960/11272] Time 0.905 (0.817) Data 0.002 (0.002) Loss 2.4919 (2.5914) Prec@1 40.000 (37.072) Prec@5 70.625 (67.745) Epoch: [28][3970/11272] Time 0.770 (0.817) Data 0.002 (0.002) Loss 2.4134 (2.5914) Prec@1 40.000 (37.076) Prec@5 73.750 (67.745) Epoch: [28][3980/11272] Time 0.734 (0.817) Data 0.002 (0.002) Loss 2.6406 (2.5913) Prec@1 35.000 (37.074) Prec@5 68.750 (67.746) Epoch: [28][3990/11272] Time 0.907 (0.817) Data 0.002 (0.002) Loss 2.7588 (2.5913) Prec@1 37.500 (37.074) Prec@5 65.625 (67.744) Epoch: [28][4000/11272] Time 0.881 (0.817) Data 0.001 (0.002) Loss 2.6072 (2.5914) Prec@1 37.500 (37.069) Prec@5 70.000 (67.747) Epoch: [28][4010/11272] Time 0.780 (0.817) Data 0.002 (0.002) Loss 2.5311 (2.5915) Prec@1 40.000 (37.066) Prec@5 70.625 (67.749) Epoch: [28][4020/11272] Time 0.807 (0.817) Data 0.002 (0.002) Loss 2.3177 (2.5916) Prec@1 46.250 (37.063) Prec@5 68.750 (67.747) Epoch: [28][4030/11272] Time 0.842 (0.818) Data 0.002 (0.002) Loss 2.6361 (2.5918) Prec@1 36.250 (37.060) Prec@5 65.000 (67.744) Epoch: [28][4040/11272] Time 0.835 (0.817) Data 0.002 (0.002) Loss 2.4326 (2.5919) Prec@1 40.625 (37.055) Prec@5 71.250 (67.743) Epoch: [28][4050/11272] Time 0.776 (0.818) Data 0.002 (0.002) Loss 2.5468 (2.5919) Prec@1 36.250 (37.054) Prec@5 66.250 (67.739) Epoch: [28][4060/11272] Time 0.869 (0.818) Data 0.002 (0.002) Loss 2.4823 (2.5920) Prec@1 38.750 (37.050) Prec@5 71.250 (67.739) Epoch: [28][4070/11272] Time 0.939 (0.818) Data 0.002 (0.002) Loss 2.5940 (2.5920) Prec@1 31.250 (37.049) Prec@5 68.125 (67.737) Epoch: [28][4080/11272] Time 0.752 (0.818) Data 0.001 (0.002) Loss 2.5211 (2.5919) Prec@1 41.250 (37.054) Prec@5 71.250 (67.738) Epoch: [28][4090/11272] Time 0.763 (0.818) Data 0.001 (0.002) Loss 2.6016 (2.5919) Prec@1 36.875 (37.054) Prec@5 66.250 (67.739) Epoch: [28][4100/11272] Time 0.847 (0.818) Data 0.002 (0.002) Loss 2.1683 (2.5917) Prec@1 49.375 (37.059) Prec@5 70.625 (67.739) Epoch: [28][4110/11272] Time 0.872 (0.818) Data 0.002 (0.002) Loss 2.5619 (2.5918) Prec@1 45.625 (37.060) Prec@5 63.750 (67.739) Epoch: [28][4120/11272] Time 0.771 (0.818) Data 0.002 (0.002) Loss 2.4274 (2.5917) Prec@1 41.250 (37.060) Prec@5 70.000 (67.740) Epoch: [28][4130/11272] Time 0.760 (0.818) Data 0.002 (0.002) Loss 2.3411 (2.5917) Prec@1 35.625 (37.058) Prec@5 73.125 (67.742) Epoch: [28][4140/11272] Time 0.877 (0.818) Data 0.002 (0.002) Loss 2.3997 (2.5916) Prec@1 41.250 (37.059) Prec@5 73.125 (67.744) Epoch: [28][4150/11272] Time 0.909 (0.818) Data 0.002 (0.002) Loss 2.6888 (2.5916) Prec@1 36.875 (37.060) Prec@5 66.875 (67.744) Epoch: [28][4160/11272] Time 0.734 (0.818) Data 0.002 (0.002) Loss 2.5215 (2.5916) Prec@1 40.000 (37.059) Prec@5 70.000 (67.747) Epoch: [28][4170/11272] Time 0.803 (0.818) Data 0.004 (0.002) Loss 2.5442 (2.5917) Prec@1 38.125 (37.061) Prec@5 68.125 (67.743) Epoch: [28][4180/11272] Time 0.914 (0.818) Data 0.002 (0.002) Loss 2.8413 (2.5918) Prec@1 30.625 (37.058) Prec@5 66.875 (67.743) Epoch: [28][4190/11272] Time 0.740 (0.818) Data 0.004 (0.002) Loss 2.5525 (2.5917) Prec@1 35.625 (37.059) Prec@5 71.250 (67.747) Epoch: [28][4200/11272] Time 0.736 (0.818) Data 0.002 (0.002) Loss 2.6851 (2.5921) Prec@1 31.875 (37.052) Prec@5 66.250 (67.740) Epoch: [28][4210/11272] Time 0.892 (0.818) Data 0.002 (0.002) Loss 2.7603 (2.5923) Prec@1 30.000 (37.051) Prec@5 64.375 (67.734) Epoch: [28][4220/11272] Time 0.850 (0.818) Data 0.002 (0.002) Loss 2.6563 (2.5925) Prec@1 34.375 (37.045) Prec@5 64.375 (67.728) Epoch: [28][4230/11272] Time 0.780 (0.818) Data 0.002 (0.002) Loss 2.7191 (2.5925) Prec@1 26.250 (37.042) Prec@5 65.625 (67.727) Epoch: [28][4240/11272] Time 0.745 (0.818) Data 0.002 (0.002) Loss 2.6085 (2.5926) Prec@1 38.750 (37.040) Prec@5 66.250 (67.724) Epoch: [28][4250/11272] Time 0.860 (0.818) Data 0.002 (0.002) Loss 2.5453 (2.5927) Prec@1 37.500 (37.038) Prec@5 68.750 (67.720) Epoch: [28][4260/11272] Time 0.876 (0.818) Data 0.001 (0.002) Loss 2.6215 (2.5929) Prec@1 35.625 (37.036) Prec@5 67.500 (67.715) Epoch: [28][4270/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.4719 (2.5929) Prec@1 40.000 (37.036) Prec@5 68.125 (67.716) Epoch: [28][4280/11272] Time 0.765 (0.818) Data 0.001 (0.002) Loss 2.3814 (2.5929) Prec@1 40.625 (37.036) Prec@5 73.125 (67.720) Epoch: [28][4290/11272] Time 0.862 (0.818) Data 0.002 (0.002) Loss 2.8010 (2.5930) Prec@1 29.375 (37.039) Prec@5 66.250 (67.719) Epoch: [28][4300/11272] Time 0.865 (0.818) Data 0.002 (0.002) Loss 2.4526 (2.5930) Prec@1 33.750 (37.035) Prec@5 70.625 (67.722) Epoch: [28][4310/11272] Time 0.761 (0.818) Data 0.002 (0.002) Loss 2.4829 (2.5929) Prec@1 43.125 (37.037) Prec@5 68.750 (67.722) Epoch: [28][4320/11272] Time 0.866 (0.818) Data 0.002 (0.002) Loss 2.6573 (2.5930) Prec@1 33.750 (37.034) Prec@5 64.375 (67.716) Epoch: [28][4330/11272] Time 0.848 (0.818) Data 0.003 (0.002) Loss 2.5285 (2.5928) Prec@1 41.250 (37.038) Prec@5 71.250 (67.721) Epoch: [28][4340/11272] Time 0.773 (0.818) Data 0.001 (0.002) Loss 2.4869 (2.5928) Prec@1 43.750 (37.038) Prec@5 66.875 (67.721) Epoch: [28][4350/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.9654 (2.5929) Prec@1 28.750 (37.035) Prec@5 63.125 (67.720) Epoch: [28][4360/11272] Time 0.847 (0.818) Data 0.002 (0.002) Loss 2.6597 (2.5928) Prec@1 38.125 (37.038) Prec@5 64.375 (67.726) Epoch: [28][4370/11272] Time 0.914 (0.818) Data 0.002 (0.002) Loss 2.8087 (2.5928) Prec@1 35.625 (37.036) Prec@5 63.750 (67.725) Epoch: [28][4380/11272] Time 0.812 (0.818) Data 0.002 (0.002) Loss 2.3595 (2.5927) Prec@1 40.625 (37.035) Prec@5 69.375 (67.723) Epoch: [28][4390/11272] Time 0.736 (0.818) Data 0.002 (0.002) Loss 2.6664 (2.5928) Prec@1 33.125 (37.034) Prec@5 66.250 (67.724) Epoch: [28][4400/11272] Time 0.867 (0.818) Data 0.002 (0.002) Loss 2.4421 (2.5925) Prec@1 40.000 (37.038) Prec@5 70.625 (67.725) Epoch: [28][4410/11272] Time 0.879 (0.818) Data 0.002 (0.002) Loss 2.5995 (2.5927) Prec@1 36.875 (37.039) Prec@5 66.250 (67.722) Epoch: [28][4420/11272] Time 0.740 (0.818) Data 0.002 (0.002) Loss 2.8709 (2.5926) Prec@1 31.250 (37.040) Prec@5 61.875 (67.722) Epoch: [28][4430/11272] Time 0.757 (0.818) Data 0.002 (0.002) Loss 2.6335 (2.5926) Prec@1 35.000 (37.039) Prec@5 66.875 (67.723) Epoch: [28][4440/11272] Time 0.889 (0.818) Data 0.002 (0.002) Loss 2.6288 (2.5924) Prec@1 34.375 (37.042) Prec@5 67.500 (67.730) Epoch: [28][4450/11272] Time 0.864 (0.818) Data 0.001 (0.002) Loss 2.8919 (2.5923) Prec@1 31.250 (37.044) Prec@5 61.250 (67.732) Epoch: [28][4460/11272] Time 0.732 (0.818) Data 0.002 (0.002) Loss 2.4845 (2.5922) Prec@1 38.750 (37.045) Prec@5 65.625 (67.732) Epoch: [28][4470/11272] Time 0.839 (0.818) Data 0.001 (0.002) Loss 2.7299 (2.5923) Prec@1 31.250 (37.042) Prec@5 63.125 (67.729) Epoch: [28][4480/11272] Time 0.859 (0.818) Data 0.002 (0.002) Loss 2.6655 (2.5923) Prec@1 34.375 (37.041) Prec@5 66.250 (67.731) Epoch: [28][4490/11272] Time 0.750 (0.818) Data 0.002 (0.002) Loss 2.2517 (2.5923) Prec@1 45.000 (37.041) Prec@5 74.375 (67.729) Epoch: [28][4500/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.8534 (2.5926) Prec@1 33.750 (37.040) Prec@5 59.375 (67.724) Epoch: [28][4510/11272] Time 0.850 (0.818) Data 0.001 (0.002) Loss 2.6900 (2.5930) Prec@1 36.875 (37.033) Prec@5 62.500 (67.717) Epoch: [28][4520/11272] Time 0.822 (0.818) Data 0.002 (0.002) Loss 2.7341 (2.5929) Prec@1 34.375 (37.033) Prec@5 66.250 (67.719) Epoch: [28][4530/11272] Time 0.782 (0.818) Data 0.002 (0.002) Loss 2.5580 (2.5930) Prec@1 34.375 (37.033) Prec@5 68.750 (67.719) Epoch: [28][4540/11272] Time 0.755 (0.818) Data 0.002 (0.002) Loss 2.5180 (2.5929) Prec@1 40.000 (37.033) Prec@5 68.125 (67.721) Epoch: [28][4550/11272] Time 0.857 (0.818) Data 0.002 (0.002) Loss 2.6752 (2.5928) Prec@1 33.125 (37.035) Prec@5 70.625 (67.722) Epoch: [28][4560/11272] Time 0.887 (0.818) Data 0.002 (0.002) Loss 2.5911 (2.5928) Prec@1 35.625 (37.038) Prec@5 66.875 (67.723) Epoch: [28][4570/11272] Time 0.747 (0.818) Data 0.003 (0.002) Loss 2.6619 (2.5929) Prec@1 35.625 (37.036) Prec@5 68.125 (67.720) Epoch: [28][4580/11272] Time 0.796 (0.818) Data 0.002 (0.002) Loss 2.5427 (2.5929) Prec@1 36.250 (37.036) Prec@5 67.500 (67.717) Epoch: [28][4590/11272] Time 0.871 (0.818) Data 0.002 (0.002) Loss 2.4610 (2.5930) Prec@1 36.250 (37.033) Prec@5 70.625 (67.712) Epoch: [28][4600/11272] Time 0.796 (0.818) Data 0.001 (0.002) Loss 2.5977 (2.5930) Prec@1 35.625 (37.030) Prec@5 67.500 (67.711) Epoch: [28][4610/11272] Time 0.772 (0.818) Data 0.001 (0.002) Loss 2.6323 (2.5930) Prec@1 34.375 (37.031) Prec@5 68.125 (67.711) Epoch: [28][4620/11272] Time 0.844 (0.818) Data 0.002 (0.002) Loss 2.5925 (2.5930) Prec@1 35.000 (37.029) Prec@5 65.625 (67.713) Epoch: [28][4630/11272] Time 0.880 (0.818) Data 0.002 (0.002) Loss 2.7071 (2.5930) Prec@1 31.875 (37.027) Prec@5 67.500 (67.714) Epoch: [28][4640/11272] Time 0.786 (0.818) Data 0.002 (0.002) Loss 2.8013 (2.5932) Prec@1 31.250 (37.021) Prec@5 64.375 (67.714) Epoch: [28][4650/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.5681 (2.5931) Prec@1 34.375 (37.019) Prec@5 65.625 (67.715) Epoch: [28][4660/11272] Time 0.857 (0.818) Data 0.002 (0.002) Loss 2.2904 (2.5928) Prec@1 41.250 (37.024) Prec@5 73.125 (67.722) Epoch: [28][4670/11272] Time 0.901 (0.818) Data 0.001 (0.002) Loss 2.6607 (2.5929) Prec@1 34.375 (37.024) Prec@5 66.250 (67.719) Epoch: [28][4680/11272] Time 0.734 (0.818) Data 0.003 (0.002) Loss 2.4704 (2.5929) Prec@1 35.625 (37.027) Prec@5 73.750 (67.723) Epoch: [28][4690/11272] Time 0.771 (0.818) Data 0.002 (0.002) Loss 2.5420 (2.5928) Prec@1 34.375 (37.026) Prec@5 63.750 (67.724) Epoch: [28][4700/11272] Time 0.887 (0.818) Data 0.002 (0.002) Loss 2.3611 (2.5928) Prec@1 39.375 (37.027) Prec@5 71.250 (67.726) Epoch: [28][4710/11272] Time 0.828 (0.818) Data 0.002 (0.002) Loss 2.6578 (2.5928) Prec@1 35.000 (37.025) Prec@5 66.250 (67.725) Epoch: [28][4720/11272] Time 0.757 (0.818) Data 0.002 (0.002) Loss 2.4231 (2.5929) Prec@1 38.125 (37.024) Prec@5 70.625 (67.721) Epoch: [28][4730/11272] Time 0.881 (0.818) Data 0.002 (0.002) Loss 2.5434 (2.5929) Prec@1 39.375 (37.025) Prec@5 68.125 (67.725) Epoch: [28][4740/11272] Time 0.861 (0.818) Data 0.002 (0.002) Loss 2.4932 (2.5931) Prec@1 34.375 (37.022) Prec@5 68.750 (67.720) Epoch: [28][4750/11272] Time 0.797 (0.818) Data 0.001 (0.002) Loss 2.6483 (2.5931) Prec@1 36.875 (37.020) Prec@5 67.500 (67.722) Epoch: [28][4760/11272] Time 0.822 (0.818) Data 0.002 (0.002) Loss 2.5654 (2.5931) Prec@1 45.000 (37.020) Prec@5 68.750 (67.722) Epoch: [28][4770/11272] Time 0.909 (0.818) Data 0.002 (0.002) Loss 2.8380 (2.5931) Prec@1 33.125 (37.023) Prec@5 63.750 (67.723) Epoch: [28][4780/11272] Time 0.856 (0.818) Data 0.002 (0.002) Loss 2.5868 (2.5930) Prec@1 35.625 (37.025) Prec@5 64.375 (67.725) Epoch: [28][4790/11272] Time 0.784 (0.818) Data 0.001 (0.002) Loss 3.0561 (2.5930) Prec@1 26.250 (37.024) Prec@5 57.500 (67.725) Epoch: [28][4800/11272] Time 0.749 (0.818) Data 0.002 (0.002) Loss 2.7056 (2.5929) Prec@1 40.000 (37.025) Prec@5 67.500 (67.727) Epoch: [28][4810/11272] Time 0.905 (0.818) Data 0.002 (0.002) Loss 2.3577 (2.5929) Prec@1 41.250 (37.022) Prec@5 71.875 (67.728) Epoch: [28][4820/11272] Time 0.887 (0.818) Data 0.003 (0.002) Loss 2.6429 (2.5929) Prec@1 33.750 (37.024) Prec@5 66.875 (67.730) Epoch: [28][4830/11272] Time 0.755 (0.818) Data 0.002 (0.002) Loss 2.4807 (2.5927) Prec@1 38.750 (37.024) Prec@5 68.750 (67.733) Epoch: [28][4840/11272] Time 0.793 (0.818) Data 0.002 (0.002) Loss 2.4456 (2.5926) Prec@1 40.625 (37.025) Prec@5 73.750 (67.737) Epoch: [28][4850/11272] Time 0.866 (0.818) Data 0.002 (0.002) Loss 2.6862 (2.5926) Prec@1 36.875 (37.026) Prec@5 67.500 (67.736) Epoch: [28][4860/11272] Time 0.740 (0.818) Data 0.004 (0.002) Loss 2.8636 (2.5928) Prec@1 39.375 (37.023) Prec@5 59.375 (67.733) Epoch: [28][4870/11272] Time 0.760 (0.818) Data 0.001 (0.002) Loss 2.7291 (2.5929) Prec@1 31.875 (37.020) Prec@5 66.875 (67.732) Epoch: [28][4880/11272] Time 0.878 (0.818) Data 0.002 (0.002) Loss 2.8122 (2.5928) Prec@1 35.000 (37.021) Prec@5 65.000 (67.733) Epoch: [28][4890/11272] Time 0.885 (0.818) Data 0.002 (0.002) Loss 2.5276 (2.5928) Prec@1 36.250 (37.021) Prec@5 65.000 (67.733) Epoch: [28][4900/11272] Time 0.742 (0.818) Data 0.002 (0.002) Loss 2.5711 (2.5930) Prec@1 37.500 (37.019) Prec@5 69.375 (67.734) Epoch: [28][4910/11272] Time 0.804 (0.818) Data 0.002 (0.002) Loss 2.3789 (2.5929) Prec@1 42.500 (37.019) Prec@5 71.250 (67.732) Epoch: [28][4920/11272] Time 0.888 (0.818) Data 0.002 (0.002) Loss 2.7191 (2.5930) Prec@1 30.000 (37.015) Prec@5 65.625 (67.731) Epoch: [28][4930/11272] Time 0.917 (0.818) Data 0.002 (0.002) Loss 2.5275 (2.5930) Prec@1 38.750 (37.012) Prec@5 70.625 (67.732) Epoch: [28][4940/11272] Time 0.777 (0.818) Data 0.002 (0.002) Loss 2.7341 (2.5933) Prec@1 36.875 (37.008) Prec@5 63.125 (67.726) Epoch: [28][4950/11272] Time 0.741 (0.818) Data 0.001 (0.002) Loss 2.6561 (2.5934) Prec@1 36.875 (37.007) Prec@5 65.625 (67.725) Epoch: [28][4960/11272] Time 0.867 (0.818) Data 0.002 (0.002) Loss 2.8155 (2.5934) Prec@1 34.375 (37.009) Prec@5 65.000 (67.724) Epoch: [28][4970/11272] Time 0.878 (0.818) Data 0.002 (0.002) Loss 2.4147 (2.5933) Prec@1 38.750 (37.007) Prec@5 73.125 (67.725) Epoch: [28][4980/11272] Time 0.769 (0.818) Data 0.002 (0.002) Loss 2.6326 (2.5934) Prec@1 39.375 (37.006) Prec@5 65.000 (67.721) Epoch: [28][4990/11272] Time 0.841 (0.818) Data 0.001 (0.002) Loss 2.6502 (2.5934) Prec@1 38.125 (37.007) Prec@5 66.875 (67.724) Epoch: [28][5000/11272] Time 0.861 (0.818) Data 0.001 (0.002) Loss 2.4319 (2.5934) Prec@1 40.000 (37.008) Prec@5 67.500 (67.722) Epoch: [28][5010/11272] Time 0.775 (0.818) Data 0.001 (0.002) Loss 2.7221 (2.5934) Prec@1 36.250 (37.006) Prec@5 61.250 (67.724) Epoch: [28][5020/11272] Time 0.792 (0.818) Data 0.003 (0.002) Loss 2.9700 (2.5936) Prec@1 35.000 (37.004) Prec@5 64.375 (67.721) Epoch: [28][5030/11272] Time 0.898 (0.818) Data 0.001 (0.002) Loss 2.3435 (2.5938) Prec@1 43.750 (36.997) Prec@5 70.625 (67.716) Epoch: [28][5040/11272] Time 0.853 (0.818) Data 0.002 (0.002) Loss 2.5013 (2.5937) Prec@1 33.750 (36.998) Prec@5 66.875 (67.715) Epoch: [28][5050/11272] Time 0.793 (0.818) Data 0.002 (0.002) Loss 2.4103 (2.5935) Prec@1 43.750 (37.002) Prec@5 70.000 (67.720) Epoch: [28][5060/11272] Time 0.791 (0.818) Data 0.002 (0.002) Loss 2.3230 (2.5935) Prec@1 38.750 (37.001) Prec@5 70.000 (67.720) Epoch: [28][5070/11272] Time 0.994 (0.818) Data 0.002 (0.002) Loss 2.6413 (2.5936) Prec@1 36.250 (37.001) Prec@5 73.125 (67.719) Epoch: [28][5080/11272] Time 0.869 (0.818) Data 0.002 (0.002) Loss 2.6738 (2.5936) Prec@1 31.875 (36.999) Prec@5 70.000 (67.719) Epoch: [28][5090/11272] Time 0.724 (0.818) Data 0.001 (0.002) Loss 2.5984 (2.5937) Prec@1 34.375 (36.997) Prec@5 71.250 (67.720) Epoch: [28][5100/11272] Time 0.760 (0.818) Data 0.002 (0.002) Loss 2.7251 (2.5937) Prec@1 39.375 (37.001) Prec@5 63.750 (67.720) Epoch: [28][5110/11272] Time 0.897 (0.818) Data 0.002 (0.002) Loss 2.6009 (2.5938) Prec@1 36.875 (36.999) Prec@5 68.125 (67.716) Epoch: [28][5120/11272] Time 0.731 (0.818) Data 0.003 (0.002) Loss 2.2001 (2.5938) Prec@1 48.750 (37.000) Prec@5 73.125 (67.719) Epoch: [28][5130/11272] Time 0.766 (0.818) Data 0.001 (0.002) Loss 2.7747 (2.5937) Prec@1 38.750 (37.001) Prec@5 64.375 (67.720) Epoch: [28][5140/11272] Time 0.849 (0.818) Data 0.002 (0.002) Loss 2.4012 (2.5937) Prec@1 45.000 (37.002) Prec@5 68.750 (67.720) Epoch: [28][5150/11272] Time 0.896 (0.818) Data 0.002 (0.002) Loss 2.8213 (2.5937) Prec@1 30.000 (37.005) Prec@5 63.125 (67.719) Epoch: [28][5160/11272] Time 0.744 (0.818) Data 0.002 (0.002) Loss 2.6111 (2.5935) Prec@1 34.375 (37.008) Prec@5 65.625 (67.721) Epoch: [28][5170/11272] Time 0.784 (0.818) Data 0.002 (0.002) Loss 2.7744 (2.5935) Prec@1 35.000 (37.007) Prec@5 61.250 (67.722) Epoch: [28][5180/11272] Time 0.870 (0.818) Data 0.002 (0.002) Loss 2.5053 (2.5934) Prec@1 43.750 (37.010) Prec@5 66.875 (67.726) Epoch: [28][5190/11272] Time 0.870 (0.818) Data 0.002 (0.002) Loss 2.3916 (2.5934) Prec@1 40.000 (37.009) Prec@5 71.250 (67.726) Epoch: [28][5200/11272] Time 0.801 (0.818) Data 0.002 (0.002) Loss 2.9260 (2.5934) Prec@1 30.625 (37.008) Prec@5 59.375 (67.725) Epoch: [28][5210/11272] Time 0.778 (0.818) Data 0.002 (0.002) Loss 2.4121 (2.5934) Prec@1 43.125 (37.011) Prec@5 69.375 (67.724) Epoch: [28][5220/11272] Time 0.849 (0.818) Data 0.002 (0.002) Loss 2.5522 (2.5935) Prec@1 39.375 (37.013) Prec@5 68.125 (67.726) Epoch: [28][5230/11272] Time 0.867 (0.818) Data 0.002 (0.002) Loss 2.5972 (2.5934) Prec@1 36.875 (37.013) Prec@5 68.125 (67.727) Epoch: [28][5240/11272] Time 0.736 (0.818) Data 0.001 (0.002) Loss 2.8060 (2.5935) Prec@1 32.500 (37.014) Prec@5 60.625 (67.724) Epoch: [28][5250/11272] Time 0.920 (0.818) Data 0.002 (0.002) Loss 2.4240 (2.5935) Prec@1 38.750 (37.012) Prec@5 70.625 (67.725) Epoch: [28][5260/11272] Time 0.889 (0.818) Data 0.002 (0.002) Loss 2.8405 (2.5937) Prec@1 31.250 (37.006) Prec@5 60.625 (67.720) Epoch: [28][5270/11272] Time 0.741 (0.818) Data 0.002 (0.002) Loss 2.5659 (2.5938) Prec@1 40.000 (37.007) Prec@5 68.750 (67.719) Epoch: [28][5280/11272] Time 0.753 (0.818) Data 0.002 (0.002) Loss 2.6192 (2.5938) Prec@1 35.000 (37.008) Prec@5 68.125 (67.718) Epoch: [28][5290/11272] Time 0.852 (0.818) Data 0.002 (0.002) Loss 2.4783 (2.5938) Prec@1 40.625 (37.007) Prec@5 70.625 (67.720) Epoch: [28][5300/11272] Time 0.864 (0.818) Data 0.002 (0.002) Loss 2.7243 (2.5936) Prec@1 33.125 (37.010) Prec@5 68.750 (67.721) Epoch: [28][5310/11272] Time 0.756 (0.818) Data 0.002 (0.002) Loss 2.3506 (2.5934) Prec@1 38.750 (37.012) Prec@5 71.250 (67.724) Epoch: [28][5320/11272] Time 0.782 (0.818) Data 0.002 (0.002) Loss 3.0647 (2.5936) Prec@1 27.500 (37.012) Prec@5 58.750 (67.720) Epoch: [28][5330/11272] Time 0.860 (0.818) Data 0.002 (0.002) Loss 2.5321 (2.5936) Prec@1 41.250 (37.011) Prec@5 71.250 (67.719) Epoch: [28][5340/11272] Time 0.858 (0.818) Data 0.002 (0.002) Loss 2.7277 (2.5938) Prec@1 34.375 (37.010) Prec@5 63.125 (67.716) Epoch: [28][5350/11272] Time 0.744 (0.818) Data 0.002 (0.002) Loss 2.3814 (2.5937) Prec@1 42.500 (37.013) Prec@5 72.500 (67.718) Epoch: [28][5360/11272] Time 0.758 (0.818) Data 0.002 (0.002) Loss 2.4688 (2.5937) Prec@1 43.750 (37.013) Prec@5 70.625 (67.719) Epoch: [28][5370/11272] Time 0.829 (0.818) Data 0.002 (0.002) Loss 2.5032 (2.5936) Prec@1 38.125 (37.013) Prec@5 69.375 (67.719) Epoch: [28][5380/11272] Time 0.921 (0.818) Data 0.002 (0.002) Loss 2.6764 (2.5936) Prec@1 37.500 (37.015) Prec@5 67.500 (67.721) Epoch: [28][5390/11272] Time 0.797 (0.818) Data 0.002 (0.002) Loss 2.4693 (2.5937) Prec@1 40.000 (37.016) Prec@5 71.250 (67.721) Epoch: [28][5400/11272] Time 0.909 (0.818) Data 0.002 (0.002) Loss 2.2884 (2.5938) Prec@1 42.500 (37.016) Prec@5 75.625 (67.717) Epoch: [28][5410/11272] Time 0.864 (0.818) Data 0.002 (0.002) Loss 2.5221 (2.5938) Prec@1 36.875 (37.018) Prec@5 69.375 (67.719) Epoch: [28][5420/11272] Time 0.751 (0.818) Data 0.002 (0.002) Loss 2.5292 (2.5937) Prec@1 40.000 (37.020) Prec@5 66.875 (67.721) Epoch: [28][5430/11272] Time 0.790 (0.818) Data 0.002 (0.002) Loss 2.6677 (2.5935) Prec@1 34.375 (37.021) Prec@5 65.625 (67.724) Epoch: [28][5440/11272] Time 0.889 (0.818) Data 0.002 (0.002) Loss 2.5803 (2.5935) Prec@1 34.375 (37.022) Prec@5 69.375 (67.726) Epoch: [28][5450/11272] Time 0.887 (0.818) Data 0.002 (0.002) Loss 2.4681 (2.5935) Prec@1 40.000 (37.020) Prec@5 70.000 (67.725) Epoch: [28][5460/11272] Time 0.806 (0.818) Data 0.002 (0.002) Loss 2.8878 (2.5937) Prec@1 33.125 (37.019) Prec@5 63.750 (67.724) Epoch: [28][5470/11272] Time 0.748 (0.818) Data 0.002 (0.002) Loss 2.7816 (2.5937) Prec@1 31.250 (37.018) Prec@5 65.000 (67.722) Epoch: [28][5480/11272] Time 0.849 (0.818) Data 0.002 (0.002) Loss 2.7304 (2.5937) Prec@1 31.875 (37.015) Prec@5 65.625 (67.722) Epoch: [28][5490/11272] Time 0.865 (0.818) Data 0.001 (0.002) Loss 2.9140 (2.5940) Prec@1 33.125 (37.013) Prec@5 62.500 (67.718) Epoch: [28][5500/11272] Time 0.740 (0.818) Data 0.002 (0.002) Loss 2.2799 (2.5937) Prec@1 40.625 (37.017) Prec@5 73.750 (67.723) Epoch: [28][5510/11272] Time 0.791 (0.818) Data 0.002 (0.002) Loss 2.4975 (2.5937) Prec@1 40.000 (37.015) Prec@5 68.125 (67.725) Epoch: [28][5520/11272] Time 0.875 (0.818) Data 0.002 (0.002) Loss 2.5542 (2.5939) Prec@1 34.375 (37.014) Prec@5 70.625 (67.722) Epoch: [28][5530/11272] Time 0.766 (0.818) Data 0.002 (0.002) Loss 2.2969 (2.5937) Prec@1 39.375 (37.017) Prec@5 70.625 (67.725) Epoch: [28][5540/11272] Time 0.727 (0.818) Data 0.002 (0.002) Loss 2.8009 (2.5938) Prec@1 31.875 (37.015) Prec@5 63.125 (67.721) Epoch: [28][5550/11272] Time 0.867 (0.818) Data 0.001 (0.002) Loss 2.5862 (2.5938) Prec@1 40.000 (37.017) Prec@5 66.250 (67.720) Epoch: [28][5560/11272] Time 0.992 (0.818) Data 0.002 (0.002) Loss 2.4732 (2.5938) Prec@1 35.000 (37.016) Prec@5 71.250 (67.719) Epoch: [28][5570/11272] Time 0.782 (0.818) Data 0.002 (0.002) Loss 2.5199 (2.5938) Prec@1 38.750 (37.020) Prec@5 66.875 (67.719) Epoch: [28][5580/11272] Time 0.741 (0.818) Data 0.002 (0.002) Loss 2.7404 (2.5938) Prec@1 38.750 (37.021) Prec@5 66.250 (67.720) Epoch: [28][5590/11272] Time 0.872 (0.818) Data 0.002 (0.002) Loss 2.6360 (2.5938) Prec@1 35.625 (37.021) Prec@5 65.625 (67.718) Epoch: [28][5600/11272] Time 0.847 (0.818) Data 0.002 (0.002) Loss 2.8992 (2.5939) Prec@1 36.250 (37.019) Prec@5 62.500 (67.715) Epoch: [28][5610/11272] Time 0.745 (0.818) Data 0.002 (0.002) Loss 2.9626 (2.5940) Prec@1 38.125 (37.015) Prec@5 58.750 (67.711) Epoch: [28][5620/11272] Time 0.749 (0.818) Data 0.002 (0.002) Loss 2.5097 (2.5941) Prec@1 36.875 (37.014) Prec@5 69.375 (67.708) Epoch: [28][5630/11272] Time 0.885 (0.818) Data 0.002 (0.002) Loss 2.3970 (2.5942) Prec@1 41.875 (37.013) Prec@5 73.125 (67.705) Epoch: [28][5640/11272] Time 0.952 (0.818) Data 0.001 (0.002) Loss 2.7608 (2.5941) Prec@1 32.500 (37.012) Prec@5 66.250 (67.707) Epoch: [28][5650/11272] Time 0.732 (0.818) Data 0.002 (0.002) Loss 2.4970 (2.5941) Prec@1 36.875 (37.011) Prec@5 73.125 (67.708) Epoch: [28][5660/11272] Time 0.955 (0.818) Data 0.002 (0.002) Loss 2.5998 (2.5942) Prec@1 36.875 (37.011) Prec@5 65.000 (67.707) Epoch: [28][5670/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.6560 (2.5942) Prec@1 40.625 (37.008) Prec@5 69.375 (67.707) Epoch: [28][5680/11272] Time 0.765 (0.818) Data 0.002 (0.002) Loss 2.6676 (2.5943) Prec@1 33.125 (37.006) Prec@5 66.875 (67.707) Epoch: [28][5690/11272] Time 0.738 (0.818) Data 0.002 (0.002) Loss 2.5696 (2.5943) Prec@1 35.000 (37.008) Prec@5 67.500 (67.707) Epoch: [28][5700/11272] Time 0.883 (0.818) Data 0.002 (0.002) Loss 2.5717 (2.5942) Prec@1 41.250 (37.007) Prec@5 68.750 (67.708) Epoch: [28][5710/11272] Time 0.873 (0.818) Data 0.002 (0.002) Loss 2.6375 (2.5944) Prec@1 34.375 (37.002) Prec@5 63.750 (67.705) Epoch: [28][5720/11272] Time 0.751 (0.818) Data 0.002 (0.002) Loss 2.6374 (2.5944) Prec@1 36.250 (37.003) Prec@5 68.750 (67.702) Epoch: [28][5730/11272] Time 0.814 (0.818) Data 0.002 (0.002) Loss 2.6053 (2.5943) Prec@1 36.250 (37.008) Prec@5 69.375 (67.703) Epoch: [28][5740/11272] Time 0.904 (0.819) Data 0.002 (0.002) Loss 2.6491 (2.5943) Prec@1 39.375 (37.007) Prec@5 68.125 (67.704) Epoch: [28][5750/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.7726 (2.5943) Prec@1 34.375 (37.009) Prec@5 63.125 (67.706) Epoch: [28][5760/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.6101 (2.5942) Prec@1 35.000 (37.010) Prec@5 65.625 (67.709) Epoch: [28][5770/11272] Time 0.765 (0.818) Data 0.002 (0.002) Loss 2.6107 (2.5941) Prec@1 37.500 (37.008) Prec@5 68.750 (67.708) Epoch: [28][5780/11272] Time 0.856 (0.818) Data 0.002 (0.002) Loss 2.4912 (2.5941) Prec@1 36.875 (37.007) Prec@5 72.500 (67.708) Epoch: [28][5790/11272] Time 0.705 (0.818) Data 0.003 (0.002) Loss 2.5303 (2.5940) Prec@1 37.500 (37.008) Prec@5 66.250 (67.709) Epoch: [28][5800/11272] Time 0.750 (0.818) Data 0.002 (0.002) Loss 2.6292 (2.5941) Prec@1 36.875 (37.007) Prec@5 69.375 (67.710) Epoch: [28][5810/11272] Time 0.890 (0.818) Data 0.001 (0.002) Loss 2.8026 (2.5939) Prec@1 34.375 (37.010) Prec@5 63.125 (67.713) Epoch: [28][5820/11272] Time 0.886 (0.818) Data 0.002 (0.002) Loss 2.5400 (2.5940) Prec@1 38.125 (37.009) Prec@5 69.375 (67.713) Epoch: [28][5830/11272] Time 0.721 (0.818) Data 0.002 (0.002) Loss 2.5324 (2.5939) Prec@1 38.125 (37.013) Prec@5 66.875 (67.714) Epoch: [28][5840/11272] Time 0.738 (0.818) Data 0.002 (0.002) Loss 2.7676 (2.5939) Prec@1 35.000 (37.013) Prec@5 57.500 (67.713) Epoch: [28][5850/11272] Time 0.903 (0.818) Data 0.002 (0.002) Loss 2.7549 (2.5938) Prec@1 35.625 (37.014) Prec@5 61.250 (67.714) Epoch: [28][5860/11272] Time 0.824 (0.818) Data 0.001 (0.002) Loss 2.8211 (2.5941) Prec@1 36.250 (37.008) Prec@5 62.500 (67.709) Epoch: [28][5870/11272] Time 0.743 (0.818) Data 0.002 (0.002) Loss 2.5307 (2.5941) Prec@1 44.375 (37.011) Prec@5 70.000 (67.709) Epoch: [28][5880/11272] Time 0.769 (0.818) Data 0.002 (0.002) Loss 2.5825 (2.5941) Prec@1 37.500 (37.010) Prec@5 66.875 (67.710) Epoch: [28][5890/11272] Time 0.904 (0.818) Data 0.001 (0.002) Loss 2.4855 (2.5941) Prec@1 33.750 (37.010) Prec@5 71.250 (67.710) Epoch: [28][5900/11272] Time 0.920 (0.818) Data 0.002 (0.002) Loss 2.8300 (2.5941) Prec@1 38.125 (37.011) Prec@5 61.875 (67.711) Epoch: [28][5910/11272] Time 0.734 (0.818) Data 0.002 (0.002) Loss 2.6662 (2.5940) Prec@1 36.875 (37.015) Prec@5 70.625 (67.713) Epoch: [28][5920/11272] Time 0.912 (0.818) Data 0.002 (0.002) Loss 2.5790 (2.5939) Prec@1 35.625 (37.016) Prec@5 71.250 (67.717) Epoch: [28][5930/11272] Time 0.893 (0.818) Data 0.001 (0.002) Loss 2.6176 (2.5939) Prec@1 34.375 (37.017) Prec@5 67.500 (67.717) Epoch: [28][5940/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.5866 (2.5939) Prec@1 37.500 (37.019) Prec@5 68.750 (67.718) Epoch: [28][5950/11272] Time 0.728 (0.818) Data 0.002 (0.002) Loss 2.6648 (2.5940) Prec@1 30.625 (37.018) Prec@5 69.375 (67.715) Epoch: [28][5960/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.8074 (2.5941) Prec@1 35.625 (37.017) Prec@5 62.500 (67.713) Epoch: [28][5970/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.5699 (2.5940) Prec@1 39.375 (37.020) Prec@5 70.000 (67.715) Epoch: [28][5980/11272] Time 0.762 (0.818) Data 0.002 (0.002) Loss 2.8910 (2.5942) Prec@1 30.000 (37.018) Prec@5 61.250 (67.712) Epoch: [28][5990/11272] Time 0.842 (0.819) Data 0.002 (0.002) Loss 2.5493 (2.5942) Prec@1 37.500 (37.018) Prec@5 66.875 (67.711) Epoch: [28][6000/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.8298 (2.5943) Prec@1 26.875 (37.014) Prec@5 60.000 (67.710) Epoch: [28][6010/11272] Time 0.909 (0.819) Data 0.001 (0.002) Loss 2.5034 (2.5941) Prec@1 40.000 (37.015) Prec@5 71.875 (67.713) Epoch: [28][6020/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.9527 (2.5942) Prec@1 27.500 (37.015) Prec@5 63.750 (67.712) Epoch: [28][6030/11272] Time 0.790 (0.819) Data 0.001 (0.002) Loss 2.7425 (2.5942) Prec@1 31.250 (37.015) Prec@5 68.750 (67.711) Epoch: [28][6040/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.4377 (2.5941) Prec@1 44.375 (37.016) Prec@5 68.125 (67.712) Epoch: [28][6050/11272] Time 0.773 (0.819) Data 0.004 (0.002) Loss 2.4455 (2.5941) Prec@1 42.500 (37.016) Prec@5 69.375 (67.711) Epoch: [28][6060/11272] Time 0.790 (0.819) Data 0.002 (0.002) Loss 2.6787 (2.5941) Prec@1 34.375 (37.014) Prec@5 67.500 (67.710) Epoch: [28][6070/11272] Time 0.898 (0.819) Data 0.001 (0.002) Loss 2.5186 (2.5941) Prec@1 39.375 (37.015) Prec@5 70.000 (67.710) Epoch: [28][6080/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.4588 (2.5941) Prec@1 36.875 (37.015) Prec@5 67.500 (67.709) Epoch: [28][6090/11272] Time 0.784 (0.819) Data 0.002 (0.002) Loss 2.8376 (2.5942) Prec@1 29.375 (37.015) Prec@5 61.875 (67.711) Epoch: [28][6100/11272] Time 0.820 (0.819) Data 0.002 (0.002) Loss 2.6372 (2.5941) Prec@1 34.375 (37.015) Prec@5 68.750 (67.712) Epoch: [28][6110/11272] Time 0.839 (0.819) Data 0.001 (0.002) Loss 2.5166 (2.5941) Prec@1 35.000 (37.015) Prec@5 68.750 (67.713) Epoch: [28][6120/11272] Time 0.911 (0.819) Data 0.002 (0.002) Loss 2.7761 (2.5943) Prec@1 36.875 (37.012) Prec@5 65.000 (67.710) Epoch: [28][6130/11272] Time 0.789 (0.819) Data 0.002 (0.002) Loss 2.5543 (2.5943) Prec@1 36.875 (37.012) Prec@5 68.750 (67.709) Epoch: [28][6140/11272] Time 0.781 (0.819) Data 0.003 (0.002) Loss 2.6936 (2.5944) Prec@1 35.000 (37.010) Prec@5 68.125 (67.708) Epoch: [28][6150/11272] Time 0.856 (0.819) Data 0.001 (0.002) Loss 2.7563 (2.5945) Prec@1 26.875 (37.007) Prec@5 65.625 (67.706) Epoch: [28][6160/11272] Time 0.913 (0.819) Data 0.002 (0.002) Loss 2.7335 (2.5945) Prec@1 34.375 (37.007) Prec@5 66.875 (67.706) Epoch: [28][6170/11272] Time 0.729 (0.819) Data 0.002 (0.002) Loss 2.5402 (2.5944) Prec@1 39.375 (37.010) Prec@5 73.125 (67.708) Epoch: [28][6180/11272] Time 0.911 (0.819) Data 0.002 (0.002) Loss 2.8689 (2.5945) Prec@1 30.625 (37.007) Prec@5 60.625 (67.707) Epoch: [28][6190/11272] Time 0.878 (0.819) Data 0.001 (0.002) Loss 2.7713 (2.5944) Prec@1 29.375 (37.009) Prec@5 67.500 (67.708) Epoch: [28][6200/11272] Time 0.726 (0.819) Data 0.001 (0.002) Loss 2.4725 (2.5945) Prec@1 40.625 (37.009) Prec@5 68.750 (67.707) Epoch: [28][6210/11272] Time 0.783 (0.819) Data 0.001 (0.002) Loss 2.6636 (2.5945) Prec@1 35.000 (37.007) Prec@5 68.125 (67.707) Epoch: [28][6220/11272] Time 0.866 (0.819) Data 0.002 (0.002) Loss 2.5587 (2.5945) Prec@1 35.625 (37.007) Prec@5 66.875 (67.709) Epoch: [28][6230/11272] Time 0.871 (0.819) Data 0.003 (0.002) Loss 2.5553 (2.5944) Prec@1 34.375 (37.009) Prec@5 69.375 (67.710) Epoch: [28][6240/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.4192 (2.5945) Prec@1 38.750 (37.007) Prec@5 71.250 (67.707) Epoch: [28][6250/11272] Time 0.809 (0.819) Data 0.002 (0.002) Loss 2.6287 (2.5944) Prec@1 31.250 (37.007) Prec@5 68.750 (67.708) Epoch: [28][6260/11272] Time 0.880 (0.819) Data 0.002 (0.002) Loss 2.7297 (2.5943) Prec@1 36.250 (37.008) Prec@5 66.250 (67.710) Epoch: [28][6270/11272] Time 0.875 (0.819) Data 0.002 (0.002) Loss 2.5430 (2.5944) Prec@1 40.000 (37.010) Prec@5 68.125 (67.710) Epoch: [28][6280/11272] Time 0.763 (0.819) Data 0.002 (0.002) Loss 2.7818 (2.5945) Prec@1 35.000 (37.008) Prec@5 61.250 (67.706) Epoch: [28][6290/11272] Time 0.767 (0.819) Data 0.002 (0.002) Loss 2.5135 (2.5945) Prec@1 41.250 (37.008) Prec@5 68.125 (67.705) Epoch: [28][6300/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.9611 (2.5945) Prec@1 28.750 (37.008) Prec@5 60.000 (67.706) Epoch: [28][6310/11272] Time 0.916 (0.819) Data 0.002 (0.002) Loss 2.7547 (2.5946) Prec@1 34.375 (37.006) Prec@5 66.250 (67.704) Epoch: [28][6320/11272] Time 0.808 (0.819) Data 0.002 (0.002) Loss 2.5666 (2.5946) Prec@1 36.875 (37.006) Prec@5 69.375 (67.705) Epoch: [28][6330/11272] Time 0.846 (0.819) Data 0.002 (0.002) Loss 2.8614 (2.5946) Prec@1 31.875 (37.006) Prec@5 68.750 (67.705) Epoch: [28][6340/11272] Time 0.897 (0.819) Data 0.002 (0.002) Loss 2.7262 (2.5947) Prec@1 38.125 (37.007) Prec@5 63.750 (67.702) Epoch: [28][6350/11272] Time 0.807 (0.819) Data 0.002 (0.002) Loss 2.8924 (2.5948) Prec@1 30.000 (37.006) Prec@5 62.500 (67.701) Epoch: [28][6360/11272] Time 0.735 (0.819) Data 0.002 (0.002) Loss 2.5572 (2.5947) Prec@1 40.000 (37.010) Prec@5 67.500 (67.705) Epoch: [28][6370/11272] Time 0.839 (0.819) Data 0.002 (0.002) Loss 2.4936 (2.5946) Prec@1 39.375 (37.012) Prec@5 68.750 (67.705) Epoch: [28][6380/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.3646 (2.5946) Prec@1 43.125 (37.015) Prec@5 71.875 (67.706) Epoch: [28][6390/11272] Time 0.757 (0.819) Data 0.002 (0.002) Loss 2.8566 (2.5946) Prec@1 31.250 (37.014) Prec@5 66.250 (67.705) Epoch: [28][6400/11272] Time 0.742 (0.819) Data 0.002 (0.002) Loss 2.7245 (2.5945) Prec@1 38.750 (37.014) Prec@5 62.500 (67.705) Epoch: [28][6410/11272] Time 0.847 (0.819) Data 0.002 (0.002) Loss 2.3728 (2.5946) Prec@1 40.000 (37.011) Prec@5 68.750 (67.701) Epoch: [28][6420/11272] Time 0.841 (0.819) Data 0.002 (0.002) Loss 2.5441 (2.5946) Prec@1 38.125 (37.012) Prec@5 71.250 (67.701) Epoch: [28][6430/11272] Time 0.727 (0.819) Data 0.002 (0.002) Loss 2.7512 (2.5947) Prec@1 32.500 (37.011) Prec@5 63.125 (67.700) Epoch: [28][6440/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.9160 (2.5948) Prec@1 31.875 (37.011) Prec@5 65.625 (67.701) Epoch: [28][6450/11272] Time 0.897 (0.819) Data 0.001 (0.002) Loss 2.5696 (2.5946) Prec@1 41.250 (37.015) Prec@5 66.250 (67.704) Epoch: [28][6460/11272] Time 0.761 (0.819) Data 0.001 (0.002) Loss 2.6359 (2.5946) Prec@1 31.875 (37.013) Prec@5 67.500 (67.704) Epoch: [28][6470/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.7730 (2.5946) Prec@1 33.750 (37.013) Prec@5 69.375 (67.704) Epoch: [28][6480/11272] Time 0.855 (0.819) Data 0.003 (0.002) Loss 2.5634 (2.5947) Prec@1 40.000 (37.012) Prec@5 68.750 (67.704) Epoch: [28][6490/11272] Time 0.911 (0.819) Data 0.002 (0.002) Loss 2.4803 (2.5946) Prec@1 45.000 (37.015) Prec@5 70.000 (67.706) Epoch: [28][6500/11272] Time 0.761 (0.819) Data 0.002 (0.002) Loss 2.5648 (2.5945) Prec@1 38.125 (37.019) Prec@5 65.625 (67.708) Epoch: [28][6510/11272] Time 0.775 (0.819) Data 0.001 (0.002) Loss 2.3319 (2.5944) Prec@1 36.875 (37.018) Prec@5 74.375 (67.709) Epoch: [28][6520/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.5793 (2.5944) Prec@1 39.375 (37.019) Prec@5 66.250 (67.709) Epoch: [28][6530/11272] Time 0.830 (0.819) Data 0.002 (0.002) Loss 2.3404 (2.5943) Prec@1 39.375 (37.021) Prec@5 75.000 (67.711) Epoch: [28][6540/11272] Time 0.788 (0.819) Data 0.002 (0.002) Loss 2.5924 (2.5943) Prec@1 37.500 (37.019) Prec@5 68.125 (67.710) Epoch: [28][6550/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.6645 (2.5942) Prec@1 43.125 (37.024) Prec@5 65.625 (67.712) Epoch: [28][6560/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.6145 (2.5942) Prec@1 36.875 (37.023) Prec@5 66.875 (67.712) Epoch: [28][6570/11272] Time 0.850 (0.819) Data 0.002 (0.002) Loss 2.6931 (2.5943) Prec@1 36.875 (37.021) Prec@5 65.000 (67.712) Epoch: [28][6580/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.7659 (2.5943) Prec@1 30.625 (37.019) Prec@5 69.375 (67.713) Epoch: [28][6590/11272] Time 0.849 (0.819) Data 0.002 (0.002) Loss 2.5838 (2.5943) Prec@1 36.875 (37.017) Prec@5 66.875 (67.711) Epoch: [28][6600/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.6361 (2.5943) Prec@1 36.875 (37.018) Prec@5 67.500 (67.712) Epoch: [28][6610/11272] Time 0.775 (0.819) Data 0.002 (0.002) Loss 2.6093 (2.5944) Prec@1 37.500 (37.018) Prec@5 65.000 (67.710) Epoch: [28][6620/11272] Time 0.762 (0.819) Data 0.002 (0.002) Loss 2.5421 (2.5943) Prec@1 38.125 (37.020) Prec@5 66.875 (67.711) Epoch: [28][6630/11272] Time 0.889 (0.819) Data 0.001 (0.002) Loss 2.6092 (2.5943) Prec@1 38.125 (37.020) Prec@5 64.375 (67.712) Epoch: [28][6640/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.5496 (2.5943) Prec@1 36.250 (37.020) Prec@5 73.125 (67.712) Epoch: [28][6650/11272] Time 0.779 (0.819) Data 0.001 (0.002) Loss 2.5226 (2.5942) Prec@1 42.500 (37.026) Prec@5 69.375 (67.714) Epoch: [28][6660/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.7526 (2.5942) Prec@1 33.750 (37.025) Prec@5 65.000 (67.715) Epoch: [28][6670/11272] Time 0.869 (0.819) Data 0.001 (0.002) Loss 2.6246 (2.5942) Prec@1 35.625 (37.023) Prec@5 71.875 (67.713) Epoch: [28][6680/11272] Time 0.844 (0.819) Data 0.002 (0.002) Loss 2.9911 (2.5942) Prec@1 28.125 (37.024) Prec@5 58.750 (67.714) Epoch: [28][6690/11272] Time 0.742 (0.819) Data 0.002 (0.002) Loss 2.6727 (2.5943) Prec@1 33.750 (37.024) Prec@5 68.125 (67.714) Epoch: [28][6700/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.9065 (2.5942) Prec@1 31.875 (37.024) Prec@5 65.000 (67.715) Epoch: [28][6710/11272] Time 0.934 (0.819) Data 0.002 (0.002) Loss 2.5441 (2.5942) Prec@1 41.250 (37.027) Prec@5 66.875 (67.714) Epoch: [28][6720/11272] Time 0.742 (0.819) Data 0.003 (0.002) Loss 2.7132 (2.5942) Prec@1 36.875 (37.027) Prec@5 63.750 (67.714) Epoch: [28][6730/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.4257 (2.5942) Prec@1 39.375 (37.025) Prec@5 70.000 (67.714) Epoch: [28][6740/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.8383 (2.5942) Prec@1 30.000 (37.024) Prec@5 62.500 (67.712) Epoch: [28][6750/11272] Time 0.870 (0.819) Data 0.002 (0.002) Loss 2.6507 (2.5942) Prec@1 35.000 (37.025) Prec@5 65.000 (67.712) Epoch: [28][6760/11272] Time 0.813 (0.819) Data 0.002 (0.002) Loss 2.5479 (2.5942) Prec@1 35.625 (37.026) Prec@5 68.750 (67.711) Epoch: [28][6770/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.4453 (2.5942) Prec@1 35.000 (37.027) Prec@5 70.000 (67.710) Epoch: [28][6780/11272] Time 0.933 (0.819) Data 0.002 (0.002) Loss 2.5972 (2.5942) Prec@1 40.000 (37.028) Prec@5 66.875 (67.709) Epoch: [28][6790/11272] Time 0.903 (0.819) Data 0.002 (0.002) Loss 2.5668 (2.5943) Prec@1 40.625 (37.028) Prec@5 66.250 (67.707) Epoch: [28][6800/11272] Time 0.763 (0.819) Data 0.002 (0.002) Loss 2.5903 (2.5943) Prec@1 35.000 (37.028) Prec@5 67.500 (67.706) Epoch: [28][6810/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.8050 (2.5943) Prec@1 35.000 (37.029) Prec@5 63.125 (67.705) Epoch: [28][6820/11272] Time 0.856 (0.819) Data 0.002 (0.002) Loss 2.5176 (2.5944) Prec@1 39.375 (37.027) Prec@5 72.500 (67.704) Epoch: [28][6830/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.1779 (2.5943) Prec@1 47.500 (37.027) Prec@5 74.375 (67.706) Epoch: [28][6840/11272] Time 0.740 (0.819) Data 0.002 (0.002) Loss 2.3223 (2.5943) Prec@1 40.625 (37.026) Prec@5 72.500 (67.705) Epoch: [28][6850/11272] Time 0.862 (0.819) Data 0.001 (0.002) Loss 2.5803 (2.5945) Prec@1 33.750 (37.022) Prec@5 67.500 (67.702) Epoch: [28][6860/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.5453 (2.5944) Prec@1 38.750 (37.021) Prec@5 68.125 (67.704) Epoch: [28][6870/11272] Time 0.726 (0.819) Data 0.002 (0.002) Loss 2.2814 (2.5944) Prec@1 45.000 (37.022) Prec@5 70.000 (67.704) Epoch: [28][6880/11272] Time 0.735 (0.819) Data 0.002 (0.002) Loss 2.4097 (2.5944) Prec@1 35.625 (37.025) Prec@5 70.625 (67.705) Epoch: [28][6890/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.4679 (2.5944) Prec@1 42.500 (37.026) Prec@5 66.250 (67.705) Epoch: [28][6900/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.3960 (2.5943) Prec@1 43.750 (37.028) Prec@5 73.125 (67.705) Epoch: [28][6910/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.4920 (2.5944) Prec@1 44.375 (37.027) Prec@5 71.875 (67.704) Epoch: [28][6920/11272] Time 0.790 (0.819) Data 0.001 (0.002) Loss 2.5934 (2.5946) Prec@1 39.375 (37.025) Prec@5 66.875 (67.703) Epoch: [28][6930/11272] Time 0.899 (0.819) Data 0.002 (0.002) Loss 2.5432 (2.5947) Prec@1 38.750 (37.024) Prec@5 70.000 (67.703) Epoch: [28][6940/11272] Time 0.851 (0.819) Data 0.002 (0.002) Loss 2.7253 (2.5947) Prec@1 34.375 (37.022) Prec@5 65.625 (67.702) Epoch: [28][6950/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 2.5122 (2.5947) Prec@1 35.000 (37.023) Prec@5 68.750 (67.703) Epoch: [28][6960/11272] Time 0.739 (0.819) Data 0.002 (0.002) Loss 2.7710 (2.5949) Prec@1 31.875 (37.019) Prec@5 61.250 (67.699) Epoch: [28][6970/11272] Time 0.868 (0.819) Data 0.001 (0.002) Loss 2.8131 (2.5949) Prec@1 38.125 (37.018) Prec@5 63.750 (67.698) Epoch: [28][6980/11272] Time 0.749 (0.819) Data 0.004 (0.002) Loss 2.6759 (2.5950) Prec@1 38.125 (37.016) Prec@5 67.500 (67.695) Epoch: [28][6990/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.5275 (2.5950) Prec@1 40.625 (37.017) Prec@5 69.375 (67.695) Epoch: [28][7000/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.3962 (2.5950) Prec@1 39.375 (37.016) Prec@5 71.875 (67.696) Epoch: [28][7010/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6027 (2.5950) Prec@1 36.875 (37.014) Prec@5 69.375 (67.696) Epoch: [28][7020/11272] Time 0.732 (0.819) Data 0.002 (0.002) Loss 2.8020 (2.5950) Prec@1 33.750 (37.013) Prec@5 67.500 (67.699) Epoch: [28][7030/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.6280 (2.5951) Prec@1 38.125 (37.013) Prec@5 65.625 (67.697) Epoch: [28][7040/11272] Time 0.880 (0.819) Data 0.002 (0.002) Loss 2.7937 (2.5952) Prec@1 30.000 (37.012) Prec@5 64.375 (67.695) Epoch: [28][7050/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.5121 (2.5951) Prec@1 43.125 (37.011) Prec@5 69.375 (67.696) Epoch: [28][7060/11272] Time 0.734 (0.819) Data 0.002 (0.002) Loss 2.8302 (2.5951) Prec@1 33.750 (37.011) Prec@5 61.875 (67.695) Epoch: [28][7070/11272] Time 0.782 (0.819) Data 0.002 (0.002) Loss 2.9255 (2.5953) Prec@1 27.500 (37.008) Prec@5 61.250 (67.692) Epoch: [28][7080/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6335 (2.5953) Prec@1 38.750 (37.010) Prec@5 67.500 (67.693) Epoch: [28][7090/11272] Time 0.842 (0.819) Data 0.001 (0.002) Loss 2.4257 (2.5951) Prec@1 38.125 (37.012) Prec@5 75.000 (67.698) Epoch: [28][7100/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.5601 (2.5950) Prec@1 40.000 (37.013) Prec@5 70.000 (67.699) Epoch: [28][7110/11272] Time 0.842 (0.819) Data 0.002 (0.002) Loss 2.6393 (2.5952) Prec@1 35.000 (37.011) Prec@5 68.125 (67.696) Epoch: [28][7120/11272] Time 0.860 (0.819) Data 0.002 (0.002) Loss 2.6080 (2.5950) Prec@1 35.000 (37.014) Prec@5 71.250 (67.701) Epoch: [28][7130/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.3938 (2.5949) Prec@1 36.875 (37.012) Prec@5 73.125 (67.702) Epoch: [28][7140/11272] Time 0.771 (0.819) Data 0.002 (0.002) Loss 2.7210 (2.5950) Prec@1 32.500 (37.012) Prec@5 64.375 (67.702) Epoch: [28][7150/11272] Time 0.889 (0.819) Data 0.001 (0.002) Loss 2.7153 (2.5948) Prec@1 35.000 (37.017) Prec@5 63.750 (67.704) Epoch: [28][7160/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.5637 (2.5948) Prec@1 37.500 (37.016) Prec@5 71.875 (67.704) Epoch: [28][7170/11272] Time 0.794 (0.819) Data 0.002 (0.002) Loss 2.4985 (2.5948) Prec@1 40.625 (37.019) Prec@5 68.750 (67.704) Epoch: [28][7180/11272] Time 0.745 (0.819) Data 0.002 (0.002) Loss 2.6401 (2.5947) Prec@1 33.125 (37.021) Prec@5 69.375 (67.705) Epoch: [28][7190/11272] Time 0.891 (0.819) Data 0.001 (0.002) Loss 2.5337 (2.5945) Prec@1 36.875 (37.024) Prec@5 72.500 (67.708) Epoch: [28][7200/11272] Time 0.925 (0.819) Data 0.002 (0.002) Loss 2.4354 (2.5945) Prec@1 38.750 (37.027) Prec@5 72.500 (67.708) Epoch: [28][7210/11272] Time 0.734 (0.819) Data 0.002 (0.002) Loss 2.3336 (2.5945) Prec@1 40.625 (37.029) Prec@5 70.000 (67.710) Epoch: [28][7220/11272] Time 0.745 (0.819) Data 0.002 (0.002) Loss 2.6515 (2.5944) Prec@1 42.500 (37.031) Prec@5 61.875 (67.709) Epoch: [28][7230/11272] Time 0.904 (0.819) Data 0.002 (0.002) Loss 2.6989 (2.5945) Prec@1 30.625 (37.028) Prec@5 65.625 (67.706) Epoch: [28][7240/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.7103 (2.5945) Prec@1 33.750 (37.028) Prec@5 62.500 (67.707) Epoch: [28][7250/11272] Time 0.745 (0.819) Data 0.001 (0.002) Loss 2.5298 (2.5945) Prec@1 41.875 (37.029) Prec@5 68.125 (67.706) Epoch: [28][7260/11272] Time 0.859 (0.819) Data 0.002 (0.002) Loss 2.7042 (2.5944) Prec@1 39.375 (37.029) Prec@5 62.500 (67.708) Epoch: [28][7270/11272] Time 0.910 (0.819) Data 0.001 (0.002) Loss 2.7578 (2.5945) Prec@1 35.625 (37.028) Prec@5 66.875 (67.706) Epoch: [28][7280/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.6916 (2.5944) Prec@1 36.250 (37.029) Prec@5 66.875 (67.706) Epoch: [28][7290/11272] Time 0.777 (0.819) Data 0.002 (0.002) Loss 2.7388 (2.5945) Prec@1 30.625 (37.027) Prec@5 66.250 (67.706) Epoch: [28][7300/11272] Time 0.891 (0.819) Data 0.002 (0.002) Loss 2.9144 (2.5945) Prec@1 35.625 (37.026) Prec@5 60.000 (67.707) Epoch: [28][7310/11272] Time 0.901 (0.819) Data 0.002 (0.002) Loss 2.4134 (2.5944) Prec@1 39.375 (37.027) Prec@5 71.875 (67.708) Epoch: [28][7320/11272] Time 0.725 (0.819) Data 0.002 (0.002) Loss 2.5974 (2.5943) Prec@1 40.000 (37.029) Prec@5 67.500 (67.707) Epoch: [28][7330/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.3822 (2.5943) Prec@1 34.375 (37.029) Prec@5 74.375 (67.707) Epoch: [28][7340/11272] Time 0.846 (0.819) Data 0.002 (0.002) Loss 2.3932 (2.5943) Prec@1 41.875 (37.029) Prec@5 70.625 (67.708) Epoch: [28][7350/11272] Time 0.886 (0.819) Data 0.002 (0.002) Loss 2.4021 (2.5944) Prec@1 40.625 (37.027) Prec@5 71.250 (67.709) Epoch: [28][7360/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.5854 (2.5944) Prec@1 38.125 (37.027) Prec@5 68.125 (67.709) Epoch: [28][7370/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.4108 (2.5944) Prec@1 39.375 (37.031) Prec@5 76.250 (67.711) Epoch: [28][7380/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.3417 (2.5942) Prec@1 40.625 (37.033) Prec@5 71.250 (67.713) Epoch: [28][7390/11272] Time 0.767 (0.819) Data 0.001 (0.002) Loss 2.5983 (2.5943) Prec@1 39.375 (37.033) Prec@5 70.000 (67.713) Epoch: [28][7400/11272] Time 0.731 (0.819) Data 0.002 (0.002) Loss 2.4938 (2.5942) Prec@1 40.000 (37.034) Prec@5 69.375 (67.714) Epoch: [28][7410/11272] Time 0.865 (0.819) Data 0.002 (0.002) Loss 2.4761 (2.5942) Prec@1 38.750 (37.035) Prec@5 65.625 (67.715) Epoch: [28][7420/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.7818 (2.5942) Prec@1 34.375 (37.035) Prec@5 64.375 (67.714) Epoch: [28][7430/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.8673 (2.5943) Prec@1 34.375 (37.034) Prec@5 60.625 (67.711) Epoch: [28][7440/11272] Time 0.725 (0.819) Data 0.002 (0.002) Loss 2.7347 (2.5944) Prec@1 33.750 (37.034) Prec@5 63.750 (67.710) Epoch: [28][7450/11272] Time 0.902 (0.819) Data 0.002 (0.002) Loss 2.6050 (2.5944) Prec@1 31.875 (37.033) Prec@5 70.625 (67.712) Epoch: [28][7460/11272] Time 0.848 (0.819) Data 0.002 (0.002) Loss 2.7276 (2.5945) Prec@1 36.875 (37.033) Prec@5 60.625 (67.708) Epoch: [28][7470/11272] Time 0.735 (0.819) Data 0.002 (0.002) Loss 2.6097 (2.5945) Prec@1 34.375 (37.032) Prec@5 68.125 (67.708) Epoch: [28][7480/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.6510 (2.5945) Prec@1 28.125 (37.031) Prec@5 68.125 (67.706) Epoch: [28][7490/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.4351 (2.5945) Prec@1 41.875 (37.031) Prec@5 73.125 (67.706) Epoch: [28][7500/11272] Time 0.821 (0.819) Data 0.002 (0.002) Loss 2.7809 (2.5947) Prec@1 39.375 (37.030) Prec@5 64.375 (67.703) Epoch: [28][7510/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.4915 (2.5947) Prec@1 41.250 (37.030) Prec@5 68.125 (67.701) Epoch: [28][7520/11272] Time 0.870 (0.819) Data 0.003 (0.002) Loss 2.4805 (2.5947) Prec@1 40.000 (37.030) Prec@5 64.375 (67.700) Epoch: [28][7530/11272] Time 0.868 (0.819) Data 0.002 (0.002) Loss 2.8322 (2.5949) Prec@1 36.875 (37.028) Prec@5 63.750 (67.698) Epoch: [28][7540/11272] Time 0.762 (0.819) Data 0.001 (0.002) Loss 2.4354 (2.5948) Prec@1 36.250 (37.029) Prec@5 69.375 (67.699) Epoch: [28][7550/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.5995 (2.5949) Prec@1 38.750 (37.025) Prec@5 68.750 (67.699) Epoch: [28][7560/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.4897 (2.5948) Prec@1 36.250 (37.027) Prec@5 68.750 (67.700) Epoch: [28][7570/11272] Time 0.915 (0.819) Data 0.001 (0.002) Loss 2.6624 (2.5948) Prec@1 33.750 (37.027) Prec@5 66.875 (67.698) Epoch: [28][7580/11272] Time 0.770 (0.819) Data 0.001 (0.002) Loss 2.7416 (2.5949) Prec@1 36.875 (37.025) Prec@5 65.625 (67.697) Epoch: [28][7590/11272] Time 0.767 (0.819) Data 0.002 (0.002) Loss 2.4948 (2.5949) Prec@1 36.250 (37.024) Prec@5 70.625 (67.696) Epoch: [28][7600/11272] Time 0.878 (0.819) Data 0.001 (0.002) Loss 2.7637 (2.5949) Prec@1 34.375 (37.023) Prec@5 64.375 (67.696) Epoch: [28][7610/11272] Time 0.837 (0.819) Data 0.001 (0.002) Loss 2.4021 (2.5949) Prec@1 42.500 (37.024) Prec@5 66.875 (67.695) Epoch: [28][7620/11272] Time 0.740 (0.819) Data 0.002 (0.002) Loss 2.5940 (2.5950) Prec@1 36.875 (37.020) Prec@5 63.750 (67.691) Epoch: [28][7630/11272] Time 0.796 (0.819) Data 0.002 (0.002) Loss 2.4012 (2.5950) Prec@1 41.875 (37.021) Prec@5 72.500 (67.693) Epoch: [28][7640/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.4966 (2.5949) Prec@1 39.375 (37.023) Prec@5 68.750 (67.695) Epoch: [28][7650/11272] Time 0.764 (0.819) Data 0.003 (0.002) Loss 2.7964 (2.5949) Prec@1 30.000 (37.023) Prec@5 62.500 (67.695) Epoch: [28][7660/11272] Time 0.741 (0.819) Data 0.001 (0.002) Loss 2.5611 (2.5949) Prec@1 38.125 (37.024) Prec@5 66.875 (67.696) Epoch: [28][7670/11272] Time 0.891 (0.819) Data 0.002 (0.002) Loss 2.4767 (2.5949) Prec@1 47.500 (37.026) Prec@5 67.500 (67.695) Epoch: [28][7680/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.4825 (2.5949) Prec@1 40.000 (37.026) Prec@5 71.875 (67.698) Epoch: [28][7690/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.4139 (2.5947) Prec@1 39.375 (37.030) Prec@5 68.750 (67.701) Epoch: [28][7700/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.4574 (2.5947) Prec@1 43.125 (37.030) Prec@5 70.625 (67.700) Epoch: [28][7710/11272] Time 0.884 (0.819) Data 0.001 (0.002) Loss 2.5648 (2.5948) Prec@1 38.125 (37.030) Prec@5 66.875 (67.698) Epoch: [28][7720/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.4389 (2.5948) Prec@1 40.625 (37.029) Prec@5 72.500 (67.699) Epoch: [28][7730/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.5726 (2.5948) Prec@1 32.500 (37.029) Prec@5 65.000 (67.701) Epoch: [28][7740/11272] Time 0.786 (0.819) Data 0.002 (0.002) Loss 2.4817 (2.5947) Prec@1 37.500 (37.028) Prec@5 71.875 (67.701) Epoch: [28][7750/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.5655 (2.5947) Prec@1 36.875 (37.029) Prec@5 65.625 (67.703) Epoch: [28][7760/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.6213 (2.5948) Prec@1 30.000 (37.028) Prec@5 65.000 (67.700) Epoch: [28][7770/11272] Time 0.772 (0.819) Data 0.002 (0.002) Loss 2.8076 (2.5948) Prec@1 38.125 (37.027) Prec@5 65.625 (67.700) Epoch: [28][7780/11272] Time 0.879 (0.819) Data 0.002 (0.002) Loss 2.7963 (2.5948) Prec@1 29.375 (37.026) Prec@5 65.625 (67.703) Epoch: [28][7790/11272] Time 0.887 (0.819) Data 0.002 (0.002) Loss 2.6180 (2.5948) Prec@1 35.000 (37.025) Prec@5 68.125 (67.702) Epoch: [28][7800/11272] Time 0.785 (0.819) Data 0.002 (0.002) Loss 2.5058 (2.5948) Prec@1 38.125 (37.027) Prec@5 66.250 (67.702) Epoch: [28][7810/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.6303 (2.5947) Prec@1 35.000 (37.028) Prec@5 66.875 (67.702) Epoch: [28][7820/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.3709 (2.5946) Prec@1 40.000 (37.028) Prec@5 73.125 (67.704) Epoch: [28][7830/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.6389 (2.5945) Prec@1 36.875 (37.030) Prec@5 65.000 (67.706) Epoch: [28][7840/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.4871 (2.5946) Prec@1 40.625 (37.031) Prec@5 68.125 (67.703) Epoch: [28][7850/11272] Time 0.791 (0.819) Data 0.001 (0.002) Loss 2.5114 (2.5946) Prec@1 35.000 (37.030) Prec@5 73.125 (67.703) Epoch: [28][7860/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.6258 (2.5946) Prec@1 36.250 (37.031) Prec@5 66.250 (67.702) Epoch: [28][7870/11272] Time 0.896 (0.819) Data 0.001 (0.002) Loss 2.6242 (2.5946) Prec@1 33.750 (37.029) Prec@5 66.875 (67.703) Epoch: [28][7880/11272] Time 0.776 (0.819) Data 0.002 (0.002) Loss 2.6068 (2.5946) Prec@1 42.500 (37.029) Prec@5 66.250 (67.702) Epoch: [28][7890/11272] Time 0.774 (0.819) Data 0.001 (0.002) Loss 2.4386 (2.5946) Prec@1 45.000 (37.031) Prec@5 70.000 (67.703) Epoch: [28][7900/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.6041 (2.5945) Prec@1 35.625 (37.033) Prec@5 68.750 (67.705) Epoch: [28][7910/11272] Time 0.735 (0.819) Data 0.004 (0.002) Loss 2.6662 (2.5945) Prec@1 37.500 (37.035) Prec@5 62.500 (67.704) Epoch: [28][7920/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.3748 (2.5945) Prec@1 43.750 (37.034) Prec@5 72.500 (67.703) Epoch: [28][7930/11272] Time 0.845 (0.819) Data 0.002 (0.002) Loss 2.6514 (2.5945) Prec@1 30.625 (37.033) Prec@5 64.375 (67.703) Epoch: [28][7940/11272] Time 0.866 (0.819) Data 0.002 (0.002) Loss 2.5940 (2.5945) Prec@1 33.750 (37.034) Prec@5 66.250 (67.702) Epoch: [28][7950/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.6547 (2.5944) Prec@1 38.125 (37.035) Prec@5 61.250 (67.703) Epoch: [28][7960/11272] Time 0.787 (0.819) Data 0.002 (0.002) Loss 2.2531 (2.5944) Prec@1 40.000 (37.036) Prec@5 76.250 (67.701) Epoch: [28][7970/11272] Time 0.821 (0.819) Data 0.002 (0.002) Loss 2.3056 (2.5943) Prec@1 39.375 (37.039) Prec@5 69.375 (67.702) Epoch: [28][7980/11272] Time 0.874 (0.819) Data 0.002 (0.002) Loss 2.2217 (2.5943) Prec@1 43.750 (37.040) Prec@5 79.375 (67.704) Epoch: [28][7990/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.7519 (2.5942) Prec@1 28.125 (37.041) Prec@5 67.500 (67.706) Epoch: [28][8000/11272] Time 0.791 (0.819) Data 0.002 (0.002) Loss 2.5392 (2.5941) Prec@1 42.500 (37.044) Prec@5 70.000 (67.707) Epoch: [28][8010/11272] Time 0.912 (0.819) Data 0.002 (0.002) Loss 2.7522 (2.5942) Prec@1 33.750 (37.042) Prec@5 65.625 (67.707) Epoch: [28][8020/11272] Time 0.895 (0.819) Data 0.001 (0.002) Loss 2.7474 (2.5941) Prec@1 30.625 (37.042) Prec@5 63.750 (67.706) Epoch: [28][8030/11272] Time 0.752 (0.819) Data 0.002 (0.002) Loss 2.8118 (2.5941) Prec@1 35.000 (37.042) Prec@5 63.125 (67.707) Epoch: [28][8040/11272] Time 0.887 (0.819) Data 0.001 (0.002) Loss 2.4228 (2.5941) Prec@1 40.000 (37.041) Prec@5 70.625 (67.707) Epoch: [28][8050/11272] Time 0.895 (0.819) Data 0.002 (0.002) Loss 2.6219 (2.5942) Prec@1 36.250 (37.040) Prec@5 65.000 (67.704) Epoch: [28][8060/11272] Time 0.757 (0.819) Data 0.001 (0.002) Loss 2.7967 (2.5942) Prec@1 39.375 (37.040) Prec@5 63.750 (67.705) Epoch: [28][8070/11272] Time 0.742 (0.819) Data 0.002 (0.002) Loss 2.6197 (2.5942) Prec@1 34.375 (37.039) Prec@5 63.750 (67.707) Epoch: [28][8080/11272] Time 0.836 (0.819) Data 0.002 (0.002) Loss 2.7305 (2.5943) Prec@1 31.875 (37.036) Prec@5 69.375 (67.707) Epoch: [28][8090/11272] Time 0.857 (0.819) Data 0.002 (0.002) Loss 2.5151 (2.5944) Prec@1 40.000 (37.036) Prec@5 68.750 (67.703) Epoch: [28][8100/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.1151 (2.5944) Prec@1 51.875 (37.037) Prec@5 75.625 (67.702) Epoch: [28][8110/11272] Time 0.776 (0.819) Data 0.002 (0.002) Loss 2.6720 (2.5943) Prec@1 36.875 (37.038) Prec@5 64.375 (67.701) Epoch: [28][8120/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.6525 (2.5943) Prec@1 33.125 (37.039) Prec@5 65.625 (67.702) Epoch: [28][8130/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.4006 (2.5943) Prec@1 41.875 (37.039) Prec@5 69.375 (67.704) Epoch: [28][8140/11272] Time 0.739 (0.819) Data 0.001 (0.002) Loss 2.6784 (2.5942) Prec@1 37.500 (37.041) Prec@5 63.750 (67.704) Epoch: [28][8150/11272] Time 0.787 (0.819) Data 0.002 (0.002) Loss 2.8772 (2.5941) Prec@1 32.500 (37.040) Prec@5 60.625 (67.705) Epoch: [28][8160/11272] Time 0.888 (0.819) Data 0.002 (0.002) Loss 2.6314 (2.5940) Prec@1 32.500 (37.042) Prec@5 65.625 (67.706) Epoch: [28][8170/11272] Time 0.909 (0.819) Data 0.002 (0.002) Loss 2.7278 (2.5940) Prec@1 32.500 (37.043) Prec@5 65.625 (67.707) Epoch: [28][8180/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.6635 (2.5941) Prec@1 37.500 (37.042) Prec@5 70.000 (67.706) Epoch: [28][8190/11272] Time 0.839 (0.819) Data 0.002 (0.002) Loss 2.3114 (2.5942) Prec@1 40.625 (37.041) Prec@5 73.125 (67.705) Epoch: [28][8200/11272] Time 0.871 (0.819) Data 0.002 (0.002) Loss 2.5431 (2.5942) Prec@1 37.500 (37.039) Prec@5 66.875 (67.702) Epoch: [28][8210/11272] Time 0.733 (0.819) Data 0.001 (0.002) Loss 2.7525 (2.5943) Prec@1 31.250 (37.039) Prec@5 61.875 (67.700) Epoch: [28][8220/11272] Time 0.735 (0.819) Data 0.001 (0.002) Loss 2.5608 (2.5944) Prec@1 35.625 (37.038) Prec@5 69.375 (67.698) Epoch: [28][8230/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.7379 (2.5944) Prec@1 34.375 (37.037) Prec@5 62.500 (67.698) Epoch: [28][8240/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.6059 (2.5945) Prec@1 42.500 (37.035) Prec@5 66.875 (67.696) Epoch: [28][8250/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.6455 (2.5944) Prec@1 40.625 (37.036) Prec@5 68.750 (67.697) Epoch: [28][8260/11272] Time 0.824 (0.819) Data 0.002 (0.002) Loss 2.9204 (2.5945) Prec@1 30.000 (37.034) Prec@5 60.000 (67.693) Epoch: [28][8270/11272] Time 0.867 (0.819) Data 0.002 (0.002) Loss 2.6450 (2.5944) Prec@1 31.250 (37.034) Prec@5 70.000 (67.696) Epoch: [28][8280/11272] Time 0.866 (0.819) Data 0.002 (0.002) Loss 2.5114 (2.5943) Prec@1 36.250 (37.034) Prec@5 67.500 (67.697) Epoch: [28][8290/11272] Time 0.783 (0.819) Data 0.002 (0.002) Loss 2.4681 (2.5944) Prec@1 39.375 (37.033) Prec@5 72.500 (67.696) Epoch: [28][8300/11272] Time 0.762 (0.819) Data 0.002 (0.002) Loss 2.3484 (2.5944) Prec@1 39.375 (37.030) Prec@5 75.000 (67.697) Epoch: [28][8310/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.5305 (2.5944) Prec@1 38.125 (37.029) Prec@5 69.375 (67.696) Epoch: [28][8320/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.5225 (2.5943) Prec@1 40.625 (37.030) Prec@5 71.875 (67.698) Epoch: [28][8330/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.6312 (2.5943) Prec@1 36.875 (37.029) Prec@5 68.750 (67.698) Epoch: [28][8340/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.5761 (2.5943) Prec@1 41.250 (37.029) Prec@5 65.625 (67.698) Epoch: [28][8350/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.5530 (2.5943) Prec@1 42.500 (37.030) Prec@5 68.750 (67.697) Epoch: [28][8360/11272] Time 0.743 (0.819) Data 0.001 (0.002) Loss 2.2210 (2.5943) Prec@1 45.625 (37.031) Prec@5 71.875 (67.697) Epoch: [28][8370/11272] Time 0.753 (0.819) Data 0.002 (0.002) Loss 2.5960 (2.5943) Prec@1 33.750 (37.029) Prec@5 68.750 (67.696) Epoch: [28][8380/11272] Time 0.829 (0.819) Data 0.001 (0.002) Loss 2.4953 (2.5943) Prec@1 38.750 (37.030) Prec@5 71.875 (67.697) Epoch: [28][8390/11272] Time 0.938 (0.819) Data 0.002 (0.002) Loss 2.4158 (2.5943) Prec@1 41.875 (37.031) Prec@5 67.500 (67.697) Epoch: [28][8400/11272] Time 0.727 (0.819) Data 0.002 (0.002) Loss 2.7821 (2.5943) Prec@1 39.375 (37.031) Prec@5 65.000 (67.696) Epoch: [28][8410/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.6085 (2.5943) Prec@1 33.125 (37.029) Prec@5 67.500 (67.696) Epoch: [28][8420/11272] Time 0.894 (0.819) Data 0.002 (0.002) Loss 2.5179 (2.5942) Prec@1 39.375 (37.030) Prec@5 68.750 (67.697) Epoch: [28][8430/11272] Time 0.860 (0.819) Data 0.001 (0.002) Loss 2.5927 (2.5942) Prec@1 40.000 (37.031) Prec@5 66.250 (67.697) Epoch: [28][8440/11272] Time 0.739 (0.819) Data 0.001 (0.002) Loss 2.4589 (2.5943) Prec@1 40.000 (37.031) Prec@5 70.625 (67.695) Epoch: [28][8450/11272] Time 0.919 (0.819) Data 0.001 (0.002) Loss 2.7410 (2.5944) Prec@1 34.375 (37.029) Prec@5 68.125 (67.694) Epoch: [28][8460/11272] Time 0.906 (0.819) Data 0.002 (0.002) Loss 2.8144 (2.5944) Prec@1 33.125 (37.028) Prec@5 62.500 (67.693) Epoch: [28][8470/11272] Time 0.788 (0.819) Data 0.001 (0.002) Loss 2.9567 (2.5945) Prec@1 28.125 (37.024) Prec@5 61.875 (67.691) Epoch: [28][8480/11272] Time 0.757 (0.819) Data 0.002 (0.002) Loss 2.4147 (2.5945) Prec@1 35.000 (37.024) Prec@5 71.250 (67.691) Epoch: [28][8490/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.6536 (2.5945) Prec@1 36.250 (37.022) Prec@5 65.000 (67.689) Epoch: [28][8500/11272] Time 0.919 (0.819) Data 0.002 (0.002) Loss 2.6969 (2.5945) Prec@1 36.875 (37.022) Prec@5 70.625 (67.689) Epoch: [28][8510/11272] Time 0.793 (0.819) Data 0.002 (0.002) Loss 2.6999 (2.5946) Prec@1 38.125 (37.022) Prec@5 68.125 (67.688) Epoch: [28][8520/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.6629 (2.5946) Prec@1 30.000 (37.021) Prec@5 65.625 (67.688) Epoch: [28][8530/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.4017 (2.5946) Prec@1 40.625 (37.019) Prec@5 70.000 (67.687) Epoch: [28][8540/11272] Time 0.895 (0.819) Data 0.002 (0.002) Loss 2.5062 (2.5946) Prec@1 38.125 (37.019) Prec@5 69.375 (67.688) Epoch: [28][8550/11272] Time 0.741 (0.819) Data 0.001 (0.002) Loss 2.4890 (2.5946) Prec@1 44.375 (37.019) Prec@5 70.625 (67.687) Epoch: [28][8560/11272] Time 0.780 (0.819) Data 0.002 (0.002) Loss 2.5436 (2.5946) Prec@1 37.500 (37.018) Prec@5 68.750 (67.688) Epoch: [28][8570/11272] Time 0.942 (0.819) Data 0.001 (0.002) Loss 2.7322 (2.5947) Prec@1 35.625 (37.016) Prec@5 65.000 (67.687) Epoch: [28][8580/11272] Time 0.768 (0.819) Data 0.004 (0.002) Loss 2.9064 (2.5947) Prec@1 28.125 (37.013) Prec@5 59.375 (67.687) Epoch: [28][8590/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.8750 (2.5948) Prec@1 33.750 (37.013) Prec@5 65.000 (67.687) Epoch: [28][8600/11272] Time 0.850 (0.819) Data 0.001 (0.002) Loss 2.7633 (2.5948) Prec@1 31.250 (37.012) Prec@5 60.625 (67.688) Epoch: [28][8610/11272] Time 0.913 (0.819) Data 0.002 (0.002) Loss 2.9366 (2.5948) Prec@1 36.875 (37.012) Prec@5 57.500 (67.687) Epoch: [28][8620/11272] Time 0.737 (0.819) Data 0.001 (0.002) Loss 2.3980 (2.5949) Prec@1 42.500 (37.010) Prec@5 68.750 (67.687) Epoch: [28][8630/11272] Time 0.734 (0.819) Data 0.002 (0.002) Loss 2.3760 (2.5948) Prec@1 40.000 (37.011) Prec@5 68.125 (67.687) Epoch: [28][8640/11272] Time 0.874 (0.819) Data 0.002 (0.002) Loss 2.5653 (2.5948) Prec@1 37.500 (37.014) Prec@5 70.000 (67.689) Epoch: [28][8650/11272] Time 0.895 (0.819) Data 0.002 (0.002) Loss 2.4004 (2.5947) Prec@1 38.750 (37.017) Prec@5 70.625 (67.689) Epoch: [28][8660/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.5277 (2.5947) Prec@1 41.875 (37.018) Prec@5 70.625 (67.689) Epoch: [28][8670/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 3.0173 (2.5947) Prec@1 31.250 (37.018) Prec@5 58.125 (67.687) Epoch: [28][8680/11272] Time 0.842 (0.819) Data 0.002 (0.002) Loss 2.5433 (2.5946) Prec@1 40.000 (37.019) Prec@5 68.750 (67.687) Epoch: [28][8690/11272] Time 0.869 (0.819) Data 0.001 (0.002) Loss 2.4928 (2.5947) Prec@1 35.625 (37.017) Prec@5 68.750 (67.686) Epoch: [28][8700/11272] Time 0.778 (0.819) Data 0.002 (0.002) Loss 2.3224 (2.5947) Prec@1 39.375 (37.017) Prec@5 74.375 (67.685) Epoch: [28][8710/11272] Time 0.872 (0.819) Data 0.001 (0.002) Loss 2.6619 (2.5946) Prec@1 36.875 (37.019) Prec@5 67.500 (67.686) Epoch: [28][8720/11272] Time 0.843 (0.819) Data 0.001 (0.002) Loss 2.5656 (2.5945) Prec@1 40.000 (37.019) Prec@5 68.750 (67.688) Epoch: [28][8730/11272] Time 0.789 (0.819) Data 0.001 (0.002) Loss 2.5300 (2.5947) Prec@1 36.250 (37.017) Prec@5 67.500 (67.687) Epoch: [28][8740/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.5354 (2.5947) Prec@1 37.500 (37.017) Prec@5 66.875 (67.685) Epoch: [28][8750/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.7113 (2.5946) Prec@1 38.125 (37.018) Prec@5 64.375 (67.686) Epoch: [28][8760/11272] Time 0.847 (0.819) Data 0.001 (0.002) Loss 2.6599 (2.5947) Prec@1 33.750 (37.016) Prec@5 61.250 (67.684) Epoch: [28][8770/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.5003 (2.5946) Prec@1 36.875 (37.016) Prec@5 68.125 (67.685) Epoch: [28][8780/11272] Time 0.747 (0.819) Data 0.001 (0.002) Loss 2.7203 (2.5946) Prec@1 36.875 (37.017) Prec@5 65.625 (67.684) Epoch: [28][8790/11272] Time 0.850 (0.819) Data 0.002 (0.002) Loss 2.6666 (2.5947) Prec@1 38.125 (37.016) Prec@5 62.500 (67.682) Epoch: [28][8800/11272] Time 0.899 (0.819) Data 0.001 (0.002) Loss 2.4431 (2.5947) Prec@1 40.625 (37.016) Prec@5 71.250 (67.681) Epoch: [28][8810/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.4237 (2.5947) Prec@1 36.250 (37.016) Prec@5 70.625 (67.682) Epoch: [28][8820/11272] Time 0.783 (0.819) Data 0.001 (0.002) Loss 2.5144 (2.5947) Prec@1 38.125 (37.017) Prec@5 66.875 (67.683) Epoch: [28][8830/11272] Time 0.846 (0.819) Data 0.002 (0.002) Loss 2.5261 (2.5947) Prec@1 38.750 (37.015) Prec@5 71.250 (67.683) Epoch: [28][8840/11272] Time 0.754 (0.819) Data 0.004 (0.002) Loss 2.7433 (2.5948) Prec@1 35.000 (37.015) Prec@5 66.875 (67.683) Epoch: [28][8850/11272] Time 0.802 (0.819) Data 0.002 (0.002) Loss 2.2271 (2.5947) Prec@1 45.000 (37.016) Prec@5 70.625 (67.684) Epoch: [28][8860/11272] Time 0.824 (0.819) Data 0.001 (0.002) Loss 2.7823 (2.5948) Prec@1 33.125 (37.017) Prec@5 63.125 (67.683) Epoch: [28][8870/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.5880 (2.5949) Prec@1 35.000 (37.015) Prec@5 66.875 (67.682) Epoch: [28][8880/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.5002 (2.5947) Prec@1 37.500 (37.017) Prec@5 68.125 (67.685) Epoch: [28][8890/11272] Time 0.753 (0.819) Data 0.001 (0.002) Loss 2.5276 (2.5946) Prec@1 40.625 (37.021) Prec@5 67.500 (67.686) Epoch: [28][8900/11272] Time 0.907 (0.819) Data 0.002 (0.002) Loss 2.6111 (2.5946) Prec@1 38.750 (37.021) Prec@5 68.125 (67.685) Epoch: [28][8910/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.4463 (2.5947) Prec@1 36.875 (37.019) Prec@5 74.375 (67.684) Epoch: [28][8920/11272] Time 0.731 (0.819) Data 0.001 (0.002) Loss 2.5673 (2.5946) Prec@1 35.625 (37.019) Prec@5 70.000 (67.687) Epoch: [28][8930/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.7038 (2.5946) Prec@1 31.875 (37.020) Prec@5 64.375 (67.688) Epoch: [28][8940/11272] Time 0.906 (0.819) Data 0.002 (0.002) Loss 2.7499 (2.5945) Prec@1 38.750 (37.022) Prec@5 65.625 (67.689) Epoch: [28][8950/11272] Time 0.927 (0.819) Data 0.002 (0.002) Loss 2.6427 (2.5945) Prec@1 38.750 (37.023) Prec@5 64.375 (67.690) Epoch: [28][8960/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.7727 (2.5944) Prec@1 35.000 (37.025) Prec@5 66.250 (67.693) Epoch: [28][8970/11272] Time 0.919 (0.819) Data 0.002 (0.002) Loss 2.6226 (2.5945) Prec@1 35.000 (37.024) Prec@5 67.500 (67.692) Epoch: [28][8980/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6859 (2.5945) Prec@1 36.250 (37.024) Prec@5 61.250 (67.691) Epoch: [28][8990/11272] Time 0.794 (0.819) Data 0.002 (0.002) Loss 2.5603 (2.5946) Prec@1 37.500 (37.024) Prec@5 68.750 (67.692) Epoch: [28][9000/11272] Time 0.730 (0.819) Data 0.002 (0.002) Loss 2.6949 (2.5945) Prec@1 36.875 (37.024) Prec@5 67.500 (67.693) Epoch: [28][9010/11272] Time 0.892 (0.819) Data 0.002 (0.002) Loss 2.7183 (2.5946) Prec@1 36.875 (37.025) Prec@5 70.000 (67.693) Epoch: [28][9020/11272] Time 0.901 (0.819) Data 0.002 (0.002) Loss 2.6828 (2.5946) Prec@1 28.125 (37.025) Prec@5 71.250 (67.693) Epoch: [28][9030/11272] Time 0.730 (0.819) Data 0.002 (0.002) Loss 2.8212 (2.5948) Prec@1 35.000 (37.022) Prec@5 63.750 (67.689) Epoch: [28][9040/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.7247 (2.5948) Prec@1 31.875 (37.021) Prec@5 64.375 (67.689) Epoch: [28][9050/11272] Time 0.886 (0.819) Data 0.001 (0.002) Loss 2.6272 (2.5947) Prec@1 31.250 (37.020) Prec@5 65.625 (67.690) Epoch: [28][9060/11272] Time 0.837 (0.819) Data 0.002 (0.002) Loss 2.7032 (2.5947) Prec@1 29.375 (37.020) Prec@5 66.875 (67.691) Epoch: [28][9070/11272] Time 0.741 (0.819) Data 0.002 (0.002) Loss 2.3021 (2.5946) Prec@1 41.875 (37.020) Prec@5 71.250 (67.692) Epoch: [28][9080/11272] Time 0.738 (0.819) Data 0.002 (0.002) Loss 2.8161 (2.5947) Prec@1 33.125 (37.020) Prec@5 60.000 (67.692) Epoch: [28][9090/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.6845 (2.5947) Prec@1 39.375 (37.021) Prec@5 65.625 (67.691) Epoch: [28][9100/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.4726 (2.5948) Prec@1 41.875 (37.020) Prec@5 70.625 (67.689) Epoch: [28][9110/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.5156 (2.5947) Prec@1 37.500 (37.021) Prec@5 69.375 (67.690) Epoch: [28][9120/11272] Time 0.844 (0.819) Data 0.002 (0.002) Loss 2.8373 (2.5949) Prec@1 33.125 (37.020) Prec@5 63.125 (67.688) Epoch: [28][9130/11272] Time 0.920 (0.819) Data 0.002 (0.002) Loss 2.5888 (2.5948) Prec@1 40.625 (37.022) Prec@5 65.000 (67.689) Epoch: [28][9140/11272] Time 0.727 (0.819) Data 0.002 (0.002) Loss 2.8019 (2.5949) Prec@1 36.250 (37.021) Prec@5 60.000 (67.687) Epoch: [28][9150/11272] Time 0.772 (0.819) Data 0.002 (0.002) Loss 2.5528 (2.5950) Prec@1 38.750 (37.021) Prec@5 68.750 (67.686) Epoch: [28][9160/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.4757 (2.5950) Prec@1 39.375 (37.021) Prec@5 68.125 (67.684) Epoch: [28][9170/11272] Time 0.864 (0.819) Data 0.002 (0.002) Loss 2.5323 (2.5950) Prec@1 40.000 (37.021) Prec@5 66.250 (67.684) Epoch: [28][9180/11272] Time 0.752 (0.819) Data 0.002 (0.002) Loss 2.5602 (2.5950) Prec@1 41.250 (37.022) Prec@5 65.625 (67.684) Epoch: [28][9190/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.7039 (2.5950) Prec@1 35.625 (37.022) Prec@5 65.000 (67.683) Epoch: [28][9200/11272] Time 0.884 (0.819) Data 0.002 (0.002) Loss 2.6803 (2.5950) Prec@1 36.875 (37.023) Prec@5 68.750 (67.685) Epoch: [28][9210/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.6002 (2.5950) Prec@1 36.250 (37.022) Prec@5 66.250 (67.684) Epoch: [28][9220/11272] Time 0.742 (0.819) Data 0.002 (0.002) Loss 2.7114 (2.5950) Prec@1 34.375 (37.022) Prec@5 68.750 (67.685) Epoch: [28][9230/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.6966 (2.5950) Prec@1 38.750 (37.023) Prec@5 61.250 (67.682) Epoch: [28][9240/11272] Time 0.857 (0.819) Data 0.002 (0.002) Loss 2.7620 (2.5950) Prec@1 31.250 (37.024) Prec@5 67.500 (67.685) Epoch: [28][9250/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 3.0173 (2.5951) Prec@1 28.125 (37.021) Prec@5 59.375 (67.684) Epoch: [28][9260/11272] Time 0.737 (0.819) Data 0.002 (0.002) Loss 2.4421 (2.5951) Prec@1 34.375 (37.020) Prec@5 65.000 (67.682) Epoch: [28][9270/11272] Time 0.858 (0.819) Data 0.002 (0.002) Loss 2.5042 (2.5952) Prec@1 36.250 (37.019) Prec@5 70.000 (67.679) Epoch: [28][9280/11272] Time 0.833 (0.819) Data 0.002 (0.002) Loss 2.5174 (2.5952) Prec@1 38.750 (37.018) Prec@5 72.500 (67.679) Epoch: [28][9290/11272] Time 0.779 (0.819) Data 0.001 (0.002) Loss 2.4380 (2.5952) Prec@1 41.250 (37.019) Prec@5 70.625 (67.680) Epoch: [28][9300/11272] Time 0.761 (0.819) Data 0.002 (0.002) Loss 2.6716 (2.5952) Prec@1 36.250 (37.019) Prec@5 66.875 (67.680) Epoch: [28][9310/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6078 (2.5952) Prec@1 42.500 (37.019) Prec@5 65.000 (67.681) Epoch: [28][9320/11272] Time 0.884 (0.819) Data 0.002 (0.002) Loss 2.6489 (2.5953) Prec@1 40.625 (37.018) Prec@5 66.250 (67.681) Epoch: [28][9330/11272] Time 0.787 (0.819) Data 0.002 (0.002) Loss 2.7251 (2.5953) Prec@1 32.500 (37.018) Prec@5 61.875 (67.681) Epoch: [28][9340/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.5803 (2.5952) Prec@1 30.000 (37.020) Prec@5 69.375 (67.681) Epoch: [28][9350/11272] Time 0.951 (0.819) Data 0.002 (0.002) Loss 2.6518 (2.5953) Prec@1 35.625 (37.018) Prec@5 68.750 (67.680) Epoch: [28][9360/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.5559 (2.5952) Prec@1 36.875 (37.020) Prec@5 68.750 (67.681) Epoch: [28][9370/11272] Time 0.769 (0.819) Data 0.002 (0.002) Loss 2.6644 (2.5952) Prec@1 34.375 (37.020) Prec@5 68.750 (67.681) Epoch: [28][9380/11272] Time 0.876 (0.819) Data 0.002 (0.002) Loss 2.5380 (2.5953) Prec@1 39.375 (37.019) Prec@5 67.500 (67.679) Epoch: [28][9390/11272] Time 0.840 (0.819) Data 0.002 (0.002) Loss 2.7945 (2.5953) Prec@1 26.250 (37.017) Prec@5 65.000 (67.678) Epoch: [28][9400/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.7898 (2.5953) Prec@1 38.750 (37.017) Prec@5 63.750 (67.678) Epoch: [28][9410/11272] Time 0.759 (0.819) Data 0.002 (0.002) Loss 2.7632 (2.5953) Prec@1 34.375 (37.017) Prec@5 64.375 (67.679) Epoch: [28][9420/11272] Time 0.867 (0.819) Data 0.002 (0.002) Loss 2.7261 (2.5953) Prec@1 38.125 (37.017) Prec@5 63.125 (67.679) Epoch: [28][9430/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.4758 (2.5953) Prec@1 37.500 (37.014) Prec@5 69.375 (67.680) Epoch: [28][9440/11272] Time 0.778 (0.819) Data 0.002 (0.002) Loss 2.6864 (2.5954) Prec@1 36.875 (37.014) Prec@5 63.125 (67.677) Epoch: [28][9450/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.6518 (2.5955) Prec@1 40.000 (37.012) Prec@5 61.875 (67.675) Epoch: [28][9460/11272] Time 0.833 (0.819) Data 0.001 (0.002) Loss 2.7599 (2.5956) Prec@1 29.375 (37.012) Prec@5 65.000 (67.673) Epoch: [28][9470/11272] Time 0.893 (0.819) Data 0.002 (0.002) Loss 2.6487 (2.5955) Prec@1 37.500 (37.013) Prec@5 61.875 (67.674) Epoch: [28][9480/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.6798 (2.5956) Prec@1 33.750 (37.014) Prec@5 61.250 (67.672) Epoch: [28][9490/11272] Time 0.761 (0.819) Data 0.002 (0.002) Loss 2.7623 (2.5956) Prec@1 36.875 (37.014) Prec@5 62.500 (67.670) Epoch: [28][9500/11272] Time 0.896 (0.819) Data 0.002 (0.002) Loss 2.7574 (2.5957) Prec@1 33.750 (37.012) Prec@5 69.375 (67.668) Epoch: [28][9510/11272] Time 0.746 (0.819) Data 0.004 (0.002) Loss 2.6928 (2.5957) Prec@1 33.125 (37.013) Prec@5 65.625 (67.669) Epoch: [28][9520/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.5094 (2.5957) Prec@1 40.625 (37.013) Prec@5 66.250 (67.669) Epoch: [28][9530/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.5648 (2.5956) Prec@1 35.625 (37.015) Prec@5 65.625 (67.671) Epoch: [28][9540/11272] Time 0.902 (0.819) Data 0.002 (0.002) Loss 2.9266 (2.5956) Prec@1 30.625 (37.012) Prec@5 65.625 (67.672) Epoch: [28][9550/11272] Time 0.801 (0.819) Data 0.002 (0.002) Loss 2.6049 (2.5956) Prec@1 36.875 (37.013) Prec@5 69.375 (67.674) Epoch: [28][9560/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.3402 (2.5957) Prec@1 38.125 (37.011) Prec@5 76.875 (67.674) Epoch: [28][9570/11272] Time 0.865 (0.819) Data 0.001 (0.002) Loss 2.7581 (2.5957) Prec@1 36.875 (37.012) Prec@5 68.125 (67.675) Epoch: [28][9580/11272] Time 0.840 (0.819) Data 0.001 (0.002) Loss 3.1063 (2.5957) Prec@1 23.750 (37.011) Prec@5 57.500 (67.673) Epoch: [28][9590/11272] Time 0.840 (0.819) Data 0.002 (0.002) Loss 2.4965 (2.5957) Prec@1 43.125 (37.009) Prec@5 71.250 (67.673) Epoch: [28][9600/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.4423 (2.5957) Prec@1 38.125 (37.010) Prec@5 64.375 (67.673) Epoch: [28][9610/11272] Time 0.871 (0.819) Data 0.002 (0.002) Loss 2.5486 (2.5957) Prec@1 37.500 (37.010) Prec@5 68.125 (67.674) Epoch: [28][9620/11272] Time 0.834 (0.819) Data 0.002 (0.002) Loss 2.6959 (2.5956) Prec@1 34.375 (37.012) Prec@5 62.500 (67.674) Epoch: [28][9630/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.5574 (2.5957) Prec@1 38.125 (37.012) Prec@5 69.375 (67.673) Epoch: [28][9640/11272] Time 0.918 (0.819) Data 0.002 (0.002) Loss 2.4614 (2.5956) Prec@1 39.375 (37.013) Prec@5 75.625 (67.677) Epoch: [28][9650/11272] Time 0.891 (0.819) Data 0.002 (0.002) Loss 2.4335 (2.5956) Prec@1 40.625 (37.013) Prec@5 69.375 (67.677) Epoch: [28][9660/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.7115 (2.5955) Prec@1 35.625 (37.015) Prec@5 66.250 (67.677) Epoch: [28][9670/11272] Time 0.764 (0.819) Data 0.001 (0.002) Loss 2.8070 (2.5955) Prec@1 31.250 (37.014) Prec@5 62.500 (67.678) Epoch: [28][9680/11272] Time 0.851 (0.819) Data 0.002 (0.002) Loss 2.5947 (2.5955) Prec@1 38.125 (37.013) Prec@5 71.875 (67.679) Epoch: [28][9690/11272] Time 0.930 (0.819) Data 0.002 (0.002) Loss 2.3411 (2.5955) Prec@1 43.750 (37.013) Prec@5 71.250 (67.679) Epoch: [28][9700/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 2.7913 (2.5956) Prec@1 34.375 (37.013) Prec@5 62.500 (67.678) Epoch: [28][9710/11272] Time 0.783 (0.819) Data 0.001 (0.002) Loss 2.7397 (2.5956) Prec@1 36.875 (37.012) Prec@5 63.750 (67.676) Epoch: [28][9720/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.6663 (2.5956) Prec@1 41.250 (37.012) Prec@5 70.000 (67.675) Epoch: [28][9730/11272] Time 0.882 (0.819) Data 0.002 (0.002) Loss 2.6335 (2.5956) Prec@1 34.375 (37.012) Prec@5 67.500 (67.675) Epoch: [28][9740/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.3271 (2.5957) Prec@1 40.000 (37.011) Prec@5 74.375 (67.675) Epoch: [28][9750/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.4453 (2.5956) Prec@1 35.625 (37.011) Prec@5 70.000 (67.677) Epoch: [28][9760/11272] Time 0.889 (0.819) Data 0.002 (0.002) Loss 2.5313 (2.5955) Prec@1 41.875 (37.013) Prec@5 68.750 (67.678) Epoch: [28][9770/11272] Time 0.784 (0.819) Data 0.004 (0.002) Loss 2.7303 (2.5956) Prec@1 34.375 (37.011) Prec@5 65.625 (67.676) Epoch: [28][9780/11272] Time 0.800 (0.819) Data 0.002 (0.002) Loss 2.6162 (2.5957) Prec@1 35.625 (37.009) Prec@5 65.625 (67.674) Epoch: [28][9790/11272] Time 0.891 (0.819) Data 0.001 (0.002) Loss 2.5905 (2.5958) Prec@1 38.125 (37.009) Prec@5 71.250 (67.672) Epoch: [28][9800/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.4226 (2.5957) Prec@1 36.875 (37.009) Prec@5 74.375 (67.672) Epoch: [28][9810/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.3364 (2.5957) Prec@1 41.875 (37.010) Prec@5 73.125 (67.672) Epoch: [28][9820/11272] Time 0.717 (0.819) Data 0.001 (0.002) Loss 2.6407 (2.5958) Prec@1 35.625 (37.008) Prec@5 69.375 (67.670) Epoch: [28][9830/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6418 (2.5958) Prec@1 37.500 (37.008) Prec@5 65.625 (67.670) Epoch: [28][9840/11272] Time 0.842 (0.819) Data 0.002 (0.002) Loss 2.5187 (2.5959) Prec@1 36.875 (37.005) Prec@5 69.375 (67.670) Epoch: [28][9850/11272] Time 0.765 (0.819) Data 0.002 (0.002) Loss 2.3988 (2.5959) Prec@1 39.375 (37.006) Prec@5 68.125 (67.670) Epoch: [28][9860/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.6596 (2.5959) Prec@1 36.875 (37.005) Prec@5 68.750 (67.670) Epoch: [28][9870/11272] Time 0.914 (0.819) Data 0.002 (0.002) Loss 2.4000 (2.5959) Prec@1 36.250 (37.006) Prec@5 69.375 (67.670) Epoch: [28][9880/11272] Time 0.916 (0.819) Data 0.002 (0.002) Loss 2.8185 (2.5959) Prec@1 32.500 (37.005) Prec@5 60.000 (67.669) Epoch: [28][9890/11272] Time 0.769 (0.819) Data 0.002 (0.002) Loss 2.3755 (2.5958) Prec@1 35.625 (37.008) Prec@5 71.250 (67.670) Epoch: [28][9900/11272] Time 0.869 (0.819) Data 0.002 (0.002) Loss 2.4502 (2.5958) Prec@1 38.750 (37.008) Prec@5 71.250 (67.670) Epoch: [28][9910/11272] Time 0.849 (0.819) Data 0.002 (0.002) Loss 2.3779 (2.5958) Prec@1 44.375 (37.009) Prec@5 70.000 (67.671) Epoch: [28][9920/11272] Time 0.786 (0.819) Data 0.001 (0.002) Loss 2.7242 (2.5957) Prec@1 32.500 (37.010) Prec@5 63.750 (67.671) Epoch: [28][9930/11272] Time 0.793 (0.819) Data 0.002 (0.002) Loss 2.5023 (2.5957) Prec@1 36.875 (37.012) Prec@5 67.500 (67.671) Epoch: [28][9940/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.5106 (2.5956) Prec@1 38.750 (37.013) Prec@5 64.375 (67.669) Epoch: [28][9950/11272] Time 0.943 (0.819) Data 0.002 (0.002) Loss 2.3885 (2.5956) Prec@1 43.125 (37.013) Prec@5 68.125 (67.668) Epoch: [28][9960/11272] Time 0.746 (0.819) Data 0.001 (0.002) Loss 2.6425 (2.5955) Prec@1 31.875 (37.013) Prec@5 64.375 (67.671) Epoch: [28][9970/11272] Time 0.819 (0.819) Data 0.002 (0.002) Loss 2.4331 (2.5956) Prec@1 35.000 (37.012) Prec@5 69.375 (67.670) Epoch: [28][9980/11272] Time 0.856 (0.819) Data 0.002 (0.002) Loss 2.7898 (2.5956) Prec@1 30.000 (37.012) Prec@5 61.875 (67.670) Epoch: [28][9990/11272] Time 0.861 (0.819) Data 0.002 (0.002) Loss 2.7772 (2.5956) Prec@1 39.375 (37.010) Prec@5 63.125 (67.669) Epoch: [28][10000/11272] Time 0.722 (0.819) Data 0.002 (0.002) Loss 2.9348 (2.5957) Prec@1 29.375 (37.010) Prec@5 60.625 (67.667) Epoch: [28][10010/11272] Time 0.744 (0.819) Data 0.001 (0.002) Loss 2.7097 (2.5958) Prec@1 32.500 (37.009) Prec@5 67.500 (67.665) Epoch: [28][10020/11272] Time 0.943 (0.819) Data 0.002 (0.002) Loss 2.6436 (2.5958) Prec@1 30.625 (37.009) Prec@5 67.500 (67.666) Epoch: [28][10030/11272] Time 0.838 (0.819) Data 0.002 (0.002) Loss 2.6536 (2.5959) Prec@1 32.500 (37.008) Prec@5 66.875 (67.665) Epoch: [28][10040/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.9557 (2.5959) Prec@1 33.125 (37.009) Prec@5 67.500 (67.665) Epoch: [28][10050/11272] Time 0.864 (0.819) Data 0.001 (0.002) Loss 2.8611 (2.5960) Prec@1 33.750 (37.007) Prec@5 60.625 (67.662) Epoch: [28][10060/11272] Time 0.817 (0.819) Data 0.001 (0.002) Loss 2.6597 (2.5960) Prec@1 35.000 (37.006) Prec@5 66.250 (67.662) Epoch: [28][10070/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.6187 (2.5959) Prec@1 37.500 (37.008) Prec@5 68.125 (67.665) Epoch: [28][10080/11272] Time 0.746 (0.819) Data 0.002 (0.002) Loss 2.6291 (2.5959) Prec@1 33.125 (37.007) Prec@5 70.000 (67.666) Epoch: [28][10090/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.5825 (2.5960) Prec@1 34.375 (37.005) Prec@5 69.375 (67.665) Epoch: [28][10100/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.5197 (2.5960) Prec@1 40.000 (37.005) Prec@5 70.000 (67.666) Epoch: [28][10110/11272] Time 0.738 (0.819) Data 0.001 (0.002) Loss 2.6868 (2.5960) Prec@1 34.375 (37.005) Prec@5 66.250 (67.664) Epoch: [28][10120/11272] Time 0.754 (0.819) Data 0.002 (0.002) Loss 2.4736 (2.5960) Prec@1 40.000 (37.005) Prec@5 70.625 (67.664) Epoch: [28][10130/11272] Time 0.879 (0.819) Data 0.002 (0.002) Loss 2.4983 (2.5960) Prec@1 40.000 (37.006) Prec@5 71.875 (67.665) Epoch: [28][10140/11272] Time 0.888 (0.819) Data 0.002 (0.002) Loss 2.4335 (2.5960) Prec@1 40.000 (37.007) Prec@5 69.375 (67.666) Epoch: [28][10150/11272] Time 0.793 (0.819) Data 0.003 (0.002) Loss 2.9360 (2.5960) Prec@1 35.000 (37.005) Prec@5 62.500 (67.664) Epoch: [28][10160/11272] Time 0.739 (0.819) Data 0.002 (0.002) Loss 2.4615 (2.5960) Prec@1 36.875 (37.005) Prec@5 66.250 (67.664) Epoch: [28][10170/11272] Time 0.897 (0.819) Data 0.002 (0.002) Loss 2.5933 (2.5961) Prec@1 41.250 (37.004) Prec@5 68.750 (67.663) Epoch: [28][10180/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.4862 (2.5961) Prec@1 43.125 (37.005) Prec@5 67.500 (67.663) Epoch: [28][10190/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.6378 (2.5961) Prec@1 39.375 (37.005) Prec@5 65.625 (67.664) Epoch: [28][10200/11272] Time 0.850 (0.819) Data 0.002 (0.002) Loss 2.2792 (2.5961) Prec@1 40.000 (37.004) Prec@5 74.375 (67.664) Epoch: [28][10210/11272] Time 0.875 (0.819) Data 0.002 (0.002) Loss 2.6321 (2.5961) Prec@1 35.625 (37.004) Prec@5 65.625 (67.664) Epoch: [28][10220/11272] Time 0.775 (0.819) Data 0.002 (0.002) Loss 2.4819 (2.5960) Prec@1 36.875 (37.004) Prec@5 70.000 (67.665) Epoch: [28][10230/11272] Time 0.774 (0.819) Data 0.002 (0.002) Loss 2.4154 (2.5960) Prec@1 41.875 (37.005) Prec@5 71.250 (67.665) Epoch: [28][10240/11272] Time 0.846 (0.819) Data 0.002 (0.002) Loss 2.5801 (2.5961) Prec@1 41.250 (37.006) Prec@5 64.375 (67.665) Epoch: [28][10250/11272] Time 0.846 (0.819) Data 0.002 (0.002) Loss 2.6171 (2.5960) Prec@1 38.125 (37.007) Prec@5 65.000 (67.664) Epoch: [28][10260/11272] Time 0.771 (0.819) Data 0.002 (0.002) Loss 2.6780 (2.5961) Prec@1 39.375 (37.006) Prec@5 67.500 (67.663) Epoch: [28][10270/11272] Time 0.776 (0.819) Data 0.001 (0.002) Loss 2.7834 (2.5961) Prec@1 33.125 (37.006) Prec@5 65.000 (67.664) Epoch: [28][10280/11272] Time 0.861 (0.819) Data 0.001 (0.002) Loss 2.6477 (2.5961) Prec@1 35.000 (37.004) Prec@5 65.000 (67.663) Epoch: [28][10290/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.5222 (2.5961) Prec@1 37.500 (37.003) Prec@5 70.625 (67.663) Epoch: [28][10300/11272] Time 0.786 (0.819) Data 0.002 (0.002) Loss 2.7759 (2.5961) Prec@1 40.000 (37.004) Prec@5 65.000 (67.661) Epoch: [28][10310/11272] Time 0.885 (0.819) Data 0.001 (0.002) Loss 2.2291 (2.5961) Prec@1 43.125 (37.004) Prec@5 70.625 (67.661) Epoch: [28][10320/11272] Time 0.867 (0.819) Data 0.002 (0.002) Loss 2.7701 (2.5962) Prec@1 30.000 (37.002) Prec@5 68.125 (67.660) Epoch: [28][10330/11272] Time 0.771 (0.819) Data 0.002 (0.002) Loss 2.3935 (2.5962) Prec@1 40.625 (37.002) Prec@5 73.125 (67.661) Epoch: [28][10340/11272] Time 0.801 (0.819) Data 0.002 (0.002) Loss 2.8188 (2.5961) Prec@1 32.500 (37.003) Prec@5 68.125 (67.662) Epoch: [28][10350/11272] Time 0.861 (0.819) Data 0.001 (0.002) Loss 2.7124 (2.5962) Prec@1 35.000 (37.004) Prec@5 68.750 (67.661) Epoch: [28][10360/11272] Time 0.870 (0.819) Data 0.002 (0.002) Loss 2.8546 (2.5961) Prec@1 32.500 (37.005) Prec@5 62.500 (67.662) Epoch: [28][10370/11272] Time 0.752 (0.819) Data 0.001 (0.002) Loss 2.7313 (2.5962) Prec@1 36.875 (37.003) Prec@5 64.375 (67.661) Epoch: [28][10380/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.4032 (2.5962) Prec@1 36.250 (37.003) Prec@5 70.625 (67.661) Epoch: [28][10390/11272] Time 0.899 (0.819) Data 0.002 (0.002) Loss 2.4530 (2.5962) Prec@1 43.750 (37.003) Prec@5 70.625 (67.661) Epoch: [28][10400/11272] Time 0.850 (0.819) Data 0.002 (0.002) Loss 2.6248 (2.5962) Prec@1 42.500 (37.003) Prec@5 65.625 (67.660) Epoch: [28][10410/11272] Time 0.756 (0.819) Data 0.002 (0.002) Loss 2.4062 (2.5962) Prec@1 40.000 (37.004) Prec@5 74.375 (67.662) Epoch: [28][10420/11272] Time 0.750 (0.819) Data 0.002 (0.002) Loss 2.9125 (2.5962) Prec@1 30.625 (37.005) Prec@5 61.875 (67.662) Epoch: [28][10430/11272] Time 0.884 (0.819) Data 0.004 (0.002) Loss 2.2908 (2.5961) Prec@1 45.000 (37.005) Prec@5 73.125 (67.662) Epoch: [28][10440/11272] Time 0.731 (0.819) Data 0.004 (0.002) Loss 2.3921 (2.5961) Prec@1 36.250 (37.006) Prec@5 74.375 (67.662) Epoch: [28][10450/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.5478 (2.5961) Prec@1 38.125 (37.006) Prec@5 67.500 (67.661) Epoch: [28][10460/11272] Time 0.844 (0.819) Data 0.002 (0.002) Loss 2.5772 (2.5961) Prec@1 35.625 (37.006) Prec@5 70.000 (67.662) Epoch: [28][10470/11272] Time 0.902 (0.819) Data 0.002 (0.002) Loss 2.8071 (2.5961) Prec@1 33.750 (37.007) Prec@5 60.625 (67.663) Epoch: [28][10480/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.7259 (2.5960) Prec@1 32.500 (37.008) Prec@5 64.375 (67.663) Epoch: [28][10490/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.5898 (2.5959) Prec@1 37.500 (37.010) Prec@5 67.500 (67.664) Epoch: [28][10500/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.5342 (2.5959) Prec@1 35.000 (37.010) Prec@5 70.000 (67.665) Epoch: [28][10510/11272] Time 0.872 (0.819) Data 0.002 (0.002) Loss 2.3763 (2.5960) Prec@1 40.000 (37.009) Prec@5 75.000 (67.663) Epoch: [28][10520/11272] Time 0.801 (0.819) Data 0.002 (0.002) Loss 2.6132 (2.5960) Prec@1 36.250 (37.009) Prec@5 64.375 (67.662) Epoch: [28][10530/11272] Time 0.744 (0.819) Data 0.002 (0.002) Loss 2.7989 (2.5960) Prec@1 33.125 (37.008) Prec@5 63.750 (67.661) Epoch: [28][10540/11272] Time 0.849 (0.819) Data 0.002 (0.002) Loss 2.8194 (2.5960) Prec@1 26.250 (37.010) Prec@5 62.500 (67.659) Epoch: [28][10550/11272] Time 0.928 (0.819) Data 0.002 (0.002) Loss 2.7729 (2.5960) Prec@1 36.875 (37.009) Prec@5 61.250 (67.660) Epoch: [28][10560/11272] Time 0.835 (0.819) Data 0.002 (0.002) Loss 2.6763 (2.5960) Prec@1 34.375 (37.009) Prec@5 65.625 (67.659) Epoch: [28][10570/11272] Time 0.904 (0.819) Data 0.002 (0.002) Loss 2.6121 (2.5960) Prec@1 41.875 (37.010) Prec@5 64.375 (67.659) Epoch: [28][10580/11272] Time 0.834 (0.819) Data 0.002 (0.002) Loss 2.4894 (2.5960) Prec@1 40.625 (37.011) Prec@5 73.125 (67.659) Epoch: [28][10590/11272] Time 0.763 (0.819) Data 0.001 (0.002) Loss 2.5715 (2.5961) Prec@1 38.750 (37.009) Prec@5 68.750 (67.658) Epoch: [28][10600/11272] Time 0.748 (0.819) Data 0.002 (0.002) Loss 2.4937 (2.5961) Prec@1 41.250 (37.009) Prec@5 68.750 (67.659) Epoch: [28][10610/11272] Time 0.906 (0.819) Data 0.002 (0.002) Loss 2.6708 (2.5961) Prec@1 33.125 (37.009) Prec@5 68.125 (67.658) Epoch: [28][10620/11272] Time 0.873 (0.819) Data 0.002 (0.002) Loss 2.4183 (2.5961) Prec@1 36.250 (37.009) Prec@5 69.375 (67.660) Epoch: [28][10630/11272] Time 0.789 (0.819) Data 0.004 (0.002) Loss 2.7196 (2.5961) Prec@1 36.875 (37.009) Prec@5 64.375 (67.660) Epoch: [28][10640/11272] Time 0.755 (0.819) Data 0.002 (0.002) Loss 2.2482 (2.5961) Prec@1 45.625 (37.011) Prec@5 75.000 (67.661) Epoch: [28][10650/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.4024 (2.5961) Prec@1 40.000 (37.011) Prec@5 72.500 (67.660) Epoch: [28][10660/11272] Time 0.894 (0.819) Data 0.002 (0.002) Loss 2.6153 (2.5961) Prec@1 39.375 (37.010) Prec@5 73.750 (67.660) Epoch: [28][10670/11272] Time 0.769 (0.819) Data 0.002 (0.002) Loss 2.6832 (2.5961) Prec@1 32.500 (37.009) Prec@5 68.125 (67.660) Epoch: [28][10680/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 3.0010 (2.5961) Prec@1 31.250 (37.010) Prec@5 55.625 (67.659) Epoch: [28][10690/11272] Time 0.899 (0.819) Data 0.002 (0.002) Loss 2.5273 (2.5962) Prec@1 33.750 (37.008) Prec@5 66.875 (67.659) Epoch: [28][10700/11272] Time 0.742 (0.819) Data 0.004 (0.002) Loss 2.4561 (2.5962) Prec@1 38.125 (37.007) Prec@5 70.000 (67.657) Epoch: [28][10710/11272] Time 0.730 (0.819) Data 0.002 (0.002) Loss 2.6905 (2.5962) Prec@1 35.625 (37.008) Prec@5 65.625 (67.658) Epoch: [28][10720/11272] Time 0.911 (0.819) Data 0.002 (0.002) Loss 2.5089 (2.5961) Prec@1 33.750 (37.008) Prec@5 73.125 (67.659) Epoch: [28][10730/11272] Time 0.888 (0.819) Data 0.001 (0.002) Loss 2.7129 (2.5961) Prec@1 36.250 (37.008) Prec@5 66.250 (67.659) Epoch: [28][10740/11272] Time 0.745 (0.819) Data 0.001 (0.002) Loss 2.2796 (2.5961) Prec@1 42.500 (37.009) Prec@5 71.875 (67.659) Epoch: [28][10750/11272] Time 0.760 (0.819) Data 0.002 (0.002) Loss 2.6238 (2.5961) Prec@1 33.750 (37.008) Prec@5 70.000 (67.660) Epoch: [28][10760/11272] Time 0.854 (0.819) Data 0.002 (0.002) Loss 2.0496 (2.5961) Prec@1 50.000 (37.009) Prec@5 75.625 (67.660) Epoch: [28][10770/11272] Time 0.920 (0.819) Data 0.003 (0.002) Loss 2.7985 (2.5961) Prec@1 32.500 (37.009) Prec@5 66.875 (67.660) Epoch: [28][10780/11272] Time 0.776 (0.819) Data 0.002 (0.002) Loss 2.5728 (2.5961) Prec@1 40.000 (37.009) Prec@5 64.375 (67.659) Epoch: [28][10790/11272] Time 0.770 (0.819) Data 0.002 (0.002) Loss 2.5597 (2.5962) Prec@1 36.250 (37.008) Prec@5 69.375 (67.660) Epoch: [28][10800/11272] Time 0.862 (0.819) Data 0.002 (0.002) Loss 2.5577 (2.5962) Prec@1 38.125 (37.008) Prec@5 67.500 (67.658) Epoch: [28][10810/11272] Time 0.856 (0.819) Data 0.002 (0.002) Loss 2.5873 (2.5962) Prec@1 38.750 (37.008) Prec@5 67.500 (67.660) Epoch: [28][10820/11272] Time 0.763 (0.819) Data 0.002 (0.002) Loss 2.5513 (2.5962) Prec@1 37.500 (37.008) Prec@5 68.750 (67.661) Epoch: [28][10830/11272] Time 0.873 (0.819) Data 0.002 (0.002) Loss 2.4629 (2.5961) Prec@1 36.875 (37.009) Prec@5 70.625 (67.663) Epoch: [28][10840/11272] Time 0.879 (0.819) Data 0.002 (0.002) Loss 2.3845 (2.5960) Prec@1 41.875 (37.010) Prec@5 72.500 (67.663) Epoch: [28][10850/11272] Time 0.766 (0.819) Data 0.002 (0.002) Loss 2.3927 (2.5960) Prec@1 37.500 (37.010) Prec@5 70.625 (67.663) Epoch: [28][10860/11272] Time 0.793 (0.819) Data 0.002 (0.002) Loss 2.6244 (2.5961) Prec@1 36.875 (37.009) Prec@5 62.500 (67.661) Epoch: [28][10870/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.7086 (2.5961) Prec@1 37.500 (37.008) Prec@5 63.750 (67.659) Epoch: [28][10880/11272] Time 0.888 (0.819) Data 0.002 (0.002) Loss 2.5573 (2.5962) Prec@1 33.750 (37.007) Prec@5 69.375 (67.659) Epoch: [28][10890/11272] Time 0.784 (0.819) Data 0.001 (0.002) Loss 2.5159 (2.5962) Prec@1 33.125 (37.006) Prec@5 70.000 (67.659) Epoch: [28][10900/11272] Time 0.803 (0.819) Data 0.003 (0.002) Loss 2.6407 (2.5963) Prec@1 36.250 (37.004) Prec@5 67.500 (67.657) Epoch: [28][10910/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.8076 (2.5964) Prec@1 38.125 (37.004) Prec@5 63.750 (67.654) Epoch: [28][10920/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.4276 (2.5963) Prec@1 42.500 (37.006) Prec@5 69.375 (67.656) Epoch: [28][10930/11272] Time 0.790 (0.819) Data 0.002 (0.002) Loss 2.4300 (2.5963) Prec@1 38.750 (37.007) Prec@5 68.125 (67.654) Epoch: [28][10940/11272] Time 0.768 (0.819) Data 0.002 (0.002) Loss 2.6904 (2.5963) Prec@1 38.125 (37.010) Prec@5 65.625 (67.654) Epoch: [28][10950/11272] Time 0.897 (0.819) Data 0.002 (0.002) Loss 2.5286 (2.5962) Prec@1 35.000 (37.010) Prec@5 73.125 (67.656) Epoch: [28][10960/11272] Time 0.863 (0.819) Data 0.002 (0.002) Loss 2.6111 (2.5961) Prec@1 32.500 (37.011) Prec@5 65.625 (67.657) Epoch: [28][10970/11272] Time 0.758 (0.819) Data 0.002 (0.002) Loss 2.5319 (2.5962) Prec@1 37.500 (37.009) Prec@5 70.625 (67.657) Epoch: [28][10980/11272] Time 0.881 (0.819) Data 0.002 (0.002) Loss 2.5359 (2.5962) Prec@1 39.375 (37.009) Prec@5 65.625 (67.657) Epoch: [28][10990/11272] Time 0.885 (0.819) Data 0.002 (0.002) Loss 2.7332 (2.5962) Prec@1 33.750 (37.010) Prec@5 68.125 (67.656) Epoch: [28][11000/11272] Time 0.783 (0.819) Data 0.002 (0.002) Loss 2.8573 (2.5962) Prec@1 32.500 (37.010) Prec@5 64.375 (67.657) Epoch: [28][11010/11272] Time 0.813 (0.819) Data 0.002 (0.002) Loss 2.5985 (2.5962) Prec@1 38.750 (37.010) Prec@5 71.250 (67.658) Epoch: [28][11020/11272] Time 0.877 (0.819) Data 0.002 (0.002) Loss 2.6123 (2.5962) Prec@1 30.000 (37.009) Prec@5 67.500 (67.658) Epoch: [28][11030/11272] Time 0.873 (0.819) Data 0.001 (0.002) Loss 2.4760 (2.5962) Prec@1 36.875 (37.009) Prec@5 70.625 (67.658) Epoch: [28][11040/11272] Time 0.747 (0.819) Data 0.002 (0.002) Loss 2.5926 (2.5962) Prec@1 30.625 (37.010) Prec@5 73.125 (67.658) Epoch: [28][11050/11272] Time 0.743 (0.819) Data 0.002 (0.002) Loss 2.7169 (2.5962) Prec@1 33.750 (37.010) Prec@5 68.125 (67.658) Epoch: [28][11060/11272] Time 0.852 (0.819) Data 0.002 (0.002) Loss 2.6245 (2.5962) Prec@1 40.000 (37.011) Prec@5 66.250 (67.658) Epoch: [28][11070/11272] Time 0.912 (0.819) Data 0.002 (0.002) Loss 2.6305 (2.5962) Prec@1 36.250 (37.010) Prec@5 66.875 (67.657) Epoch: [28][11080/11272] Time 0.738 (0.819) Data 0.001 (0.002) Loss 3.0198 (2.5962) Prec@1 26.875 (37.008) Prec@5 58.750 (67.657) Epoch: [28][11090/11272] Time 0.740 (0.819) Data 0.002 (0.002) Loss 2.5486 (2.5962) Prec@1 41.250 (37.010) Prec@5 68.750 (67.658) Epoch: [28][11100/11272] Time 0.821 (0.819) Data 0.002 (0.002) Loss 2.7173 (2.5962) Prec@1 34.375 (37.010) Prec@5 63.750 (67.657) Epoch: [28][11110/11272] Time 0.773 (0.819) Data 0.002 (0.002) Loss 2.6663 (2.5961) Prec@1 33.750 (37.011) Prec@5 66.250 (67.657) Epoch: [28][11120/11272] Time 0.767 (0.819) Data 0.002 (0.002) Loss 2.4451 (2.5961) Prec@1 42.500 (37.011) Prec@5 68.125 (67.657) Epoch: [28][11130/11272] Time 0.879 (0.819) Data 0.002 (0.002) Loss 2.6822 (2.5961) Prec@1 35.625 (37.012) Prec@5 64.375 (67.656) Epoch: [28][11140/11272] Time 0.829 (0.819) Data 0.002 (0.002) Loss 2.6331 (2.5962) Prec@1 35.000 (37.011) Prec@5 68.750 (67.655) Epoch: [28][11150/11272] Time 0.777 (0.819) Data 0.001 (0.002) Loss 2.7691 (2.5962) Prec@1 31.250 (37.010) Prec@5 61.250 (67.655) Epoch: [28][11160/11272] Time 0.782 (0.819) Data 0.002 (0.002) Loss 2.7321 (2.5962) Prec@1 36.250 (37.010) Prec@5 64.375 (67.655) Epoch: [28][11170/11272] Time 0.847 (0.819) Data 0.002 (0.002) Loss 2.5494 (2.5962) Prec@1 40.625 (37.008) Prec@5 66.875 (67.653) Epoch: [28][11180/11272] Time 0.890 (0.819) Data 0.002 (0.002) Loss 2.6816 (2.5962) Prec@1 35.000 (37.007) Prec@5 65.000 (67.653) Epoch: [28][11190/11272] Time 0.751 (0.819) Data 0.002 (0.002) Loss 2.4298 (2.5962) Prec@1 40.625 (37.007) Prec@5 67.500 (67.651) Epoch: [28][11200/11272] Time 0.725 (0.819) Data 0.002 (0.002) Loss 2.3892 (2.5963) Prec@1 41.250 (37.007) Prec@5 71.250 (67.650) Epoch: [28][11210/11272] Time 0.855 (0.819) Data 0.002 (0.002) Loss 2.5598 (2.5962) Prec@1 39.375 (37.007) Prec@5 70.000 (67.652) Epoch: [28][11220/11272] Time 0.906 (0.819) Data 0.002 (0.002) Loss 2.6656 (2.5962) Prec@1 34.375 (37.008) Prec@5 68.125 (67.653) Epoch: [28][11230/11272] Time 0.764 (0.819) Data 0.002 (0.002) Loss 2.4910 (2.5962) Prec@1 38.750 (37.009) Prec@5 68.750 (67.652) Epoch: [28][11240/11272] Time 0.878 (0.819) Data 0.002 (0.002) Loss 2.6181 (2.5963) Prec@1 36.875 (37.007) Prec@5 67.500 (67.651) Epoch: [28][11250/11272] Time 0.883 (0.819) Data 0.002 (0.002) Loss 2.3962 (2.5963) Prec@1 38.750 (37.006) Prec@5 70.000 (67.651) Epoch: [28][11260/11272] Time 0.800 (0.819) Data 0.002 (0.002) Loss 2.6640 (2.5963) Prec@1 34.375 (37.006) Prec@5 69.375 (67.650) Epoch: [28][11270/11272] Time 0.739 (0.819) Data 0.000 (0.002) Loss 2.6609 (2.5963) Prec@1 36.250 (37.005) Prec@5 71.250 (67.651) Test: [0/229] Time 1.607 (1.607) Loss 1.2778 (1.2778) Prec@1 66.250 (66.250) Prec@5 91.875 (91.875) Test: [10/229] Time 0.494 (0.547) Loss 1.4191 (2.0878) Prec@1 54.375 (45.511) Prec@5 92.500 (80.284) Test: [20/229] Time 0.434 (0.472) Loss 2.6260 (2.2273) Prec@1 36.875 (42.857) Prec@5 68.125 (77.589) Test: [30/229] Time 0.384 (0.447) Loss 2.7161 (2.1355) Prec@1 28.750 (45.423) Prec@5 72.500 (78.407) Test: [40/229] Time 0.440 (0.431) Loss 1.0858 (2.1451) Prec@1 77.500 (44.985) Prec@5 84.375 (77.942) Test: [50/229] Time 0.367 (0.421) Loss 3.5420 (2.2256) Prec@1 15.625 (43.848) Prec@5 52.500 (75.772) Test: [60/229] Time 0.406 (0.415) Loss 2.5600 (2.2395) Prec@1 31.875 (43.453) Prec@5 67.500 (75.205) Test: [70/229] Time 0.311 (0.410) Loss 1.3523 (2.2184) Prec@1 70.625 (43.856) Prec@5 86.875 (75.660) Test: [80/229] Time 0.365 (0.408) Loss 2.6519 (2.2217) Prec@1 30.000 (43.557) Prec@5 68.125 (75.856) Test: [90/229] Time 0.389 (0.406) Loss 2.0357 (2.2264) Prec@1 48.125 (43.146) Prec@5 78.125 (76.126) Test: [100/229] Time 0.378 (0.403) Loss 2.6818 (2.2289) Prec@1 39.375 (43.304) Prec@5 75.000 (75.996) Test: [110/229] Time 0.407 (0.402) Loss 1.7601 (2.2256) Prec@1 51.250 (43.457) Prec@5 82.500 (75.873) Test: [120/229] Time 0.355 (0.400) Loss 3.0686 (2.2342) Prec@1 22.500 (43.223) Prec@5 62.500 (75.739) Test: [130/229] Time 0.422 (0.399) Loss 1.7927 (2.2287) Prec@1 51.875 (43.354) Prec@5 80.625 (75.740) Test: [140/229] Time 0.347 (0.397) Loss 2.5126 (2.2470) Prec@1 35.000 (42.890) Prec@5 73.750 (75.523) Test: [150/229] Time 0.353 (0.397) Loss 1.3607 (2.2647) Prec@1 68.125 (42.459) Prec@5 86.875 (75.294) Test: [160/229] Time 0.459 (0.397) Loss 2.7691 (2.2621) Prec@1 30.000 (42.531) Prec@5 72.500 (75.369) Test: [170/229] Time 0.344 (0.396) Loss 2.2937 (2.2852) Prec@1 36.250 (41.886) Prec@5 79.375 (74.952) Test: [180/229] Time 0.402 (0.396) Loss 3.2714 (2.2954) Prec@1 25.625 (41.854) Prec@5 52.500 (74.713) Test: [190/229] Time 0.348 (0.396) Loss 1.7127 (2.3007) Prec@1 53.125 (41.770) Prec@5 90.625 (74.702) Test: [200/229] Time 0.472 (0.396) Loss 2.5471 (2.2883) Prec@1 34.375 (41.919) Prec@5 71.250 (75.034) Test: [210/229] Time 0.393 (0.395) Loss 1.7518 (2.2836) Prec@1 42.500 (41.982) Prec@5 87.500 (75.124) Test: [220/229] Time 0.391 (0.394) Loss 1.9773 (2.2760) Prec@1 49.375 (42.279) Prec@5 81.875 (75.235) * Prec@1 42.747 Prec@5 75.453 Epoch: [29][0/11272] Time 2.847 (2.847) Data 1.979 (1.979) Loss 2.7214 (2.7214) Prec@1 36.250 (36.250) Prec@5 67.500 (67.500) Epoch: [29][10/11272] Time 0.743 (1.007) Data 0.002 (0.182) Loss 2.6396 (2.6488) Prec@1 38.125 (36.591) Prec@5 69.375 (66.193) Epoch: [29][20/11272] Time 0.840 (0.914) Data 0.002 (0.096) Loss 2.6413 (2.6662) Prec@1 32.500 (35.327) Prec@5 66.250 (65.804) Epoch: [29][30/11272] Time 0.843 (0.879) Data 0.002 (0.065) Loss 2.4790 (2.6188) Prec@1 39.375 (36.008) Prec@5 70.625 (66.855) Epoch: [29][40/11272] Time 0.782 (0.864) Data 0.002 (0.050) Loss 2.4153 (2.6143) Prec@1 36.875 (36.479) Prec@5 70.625 (67.043) Epoch: [29][50/11272] Time 0.819 (0.850) Data 0.002 (0.040) Loss 2.6144 (2.5920) Prec@1 36.875 (36.667) Prec@5 70.625 (67.757) Epoch: [29][60/11272] Time 0.951 (0.843) Data 0.004 (0.034) Loss 2.6130 (2.5922) Prec@1 35.625 (36.701) Prec@5 63.750 (67.531) Epoch: [29][70/11272] Time 0.741 (0.836) Data 0.002 (0.030) Loss 2.3734 (2.5791) Prec@1 41.875 (37.227) Prec@5 71.250 (67.940) Epoch: [29][80/11272] Time 0.728 (0.831) Data 0.001 (0.026) Loss 2.3767 (2.5720) Prec@1 38.750 (37.539) Prec@5 70.000 (68.032) Epoch: [29][90/11272] Time 0.858 (0.830) Data 0.002 (0.023) Loss 2.7552 (2.5698) Prec@1 33.750 (37.452) Prec@5 63.750 (68.091) Epoch: [29][100/11272] Time 0.897 (0.829) Data 0.001 (0.021) Loss 2.5430 (2.5589) Prec@1 33.750 (37.686) Prec@5 69.375 (68.373) Epoch: [29][110/11272] Time 0.739 (0.827) Data 0.002 (0.020) Loss 2.5930 (2.5657) Prec@1 38.125 (37.506) Prec@5 68.750 (68.243) Epoch: [29][120/11272] Time 0.775 (0.825) Data 0.001 (0.018) Loss 2.4973 (2.5560) Prec@1 36.875 (37.686) Prec@5 67.500 (68.357) Epoch: [29][130/11272] Time 0.866 (0.825) Data 0.002 (0.017) Loss 2.7907 (2.5594) Prec@1 36.250 (37.710) Prec@5 64.375 (68.259) Epoch: [29][140/11272] Time 0.854 (0.825) Data 0.002 (0.016) Loss 2.3793 (2.5608) Prec@1 39.375 (37.593) Prec@5 72.500 (68.293) Epoch: [29][150/11272] Time 0.743 (0.823) Data 0.002 (0.015) Loss 2.5413 (2.5562) Prec@1 36.875 (37.649) Prec@5 68.125 (68.431) Epoch: [29][160/11272] Time 0.744 (0.821) Data 0.002 (0.014) Loss 2.4994 (2.5568) Prec@1 38.125 (37.733) Prec@5 70.625 (68.389) Epoch: [29][170/11272] Time 0.835 (0.820) Data 0.002 (0.013) Loss 2.4796 (2.5553) Prec@1 35.000 (37.705) Prec@5 75.000 (68.498) Epoch: [29][180/11272] Time 0.758 (0.820) Data 0.002 (0.013) Loss 2.6718 (2.5577) Prec@1 35.625 (37.621) Prec@5 66.250 (68.453) Epoch: [29][190/11272] Time 0.730 (0.820) Data 0.002 (0.012) Loss 2.7035 (2.5594) Prec@1 36.250 (37.592) Prec@5 60.000 (68.393) Epoch: [29][200/11272] Time 0.887 (0.820) Data 0.002 (0.012) Loss 2.6257 (2.5595) Prec@1 35.625 (37.596) Prec@5 66.875 (68.386) Epoch: [29][210/11272] Time 0.855 (0.820) Data 0.002 (0.011) Loss 2.3657 (2.5593) Prec@1 40.625 (37.613) Prec@5 72.500 (68.374) Epoch: [29][220/11272] Time 0.745 (0.819) Data 0.001 (0.011) Loss 2.7698 (2.5619) Prec@1 32.500 (37.571) Prec@5 63.125 (68.283) Epoch: [29][230/11272] Time 0.790 (0.819) Data 0.002 (0.010) Loss 2.6897 (2.5626) Prec@1 41.875 (37.624) Prec@5 66.875 (68.282) Epoch: [29][240/11272] Time 0.865 (0.818) Data 0.001 (0.010) Loss 2.3802 (2.5635) Prec@1 41.250 (37.650) Prec@5 73.125 (68.286) Epoch: [29][250/11272] Time 0.882 (0.818) Data 0.001 (0.010) Loss 2.4355 (2.5642) Prec@1 40.000 (37.642) Prec@5 73.125 (68.304) Epoch: [29][260/11272] Time 0.751 (0.817) Data 0.002 (0.009) Loss 2.5889 (2.5660) Prec@1 35.625 (37.603) Prec@5 70.000 (68.273) Epoch: [29][270/11272] Time 0.770 (0.817) Data 0.002 (0.009) Loss 2.3710 (2.5644) Prec@1 38.750 (37.645) Prec@5 73.125 (68.298) Epoch: [29][280/11272] Time 0.845 (0.818) Data 0.002 (0.009) Loss 2.7254 (2.5659) Prec@1 35.625 (37.638) Prec@5 65.000 (68.281) Epoch: [29][290/11272] Time 0.896 (0.818) Data 0.001 (0.008) Loss 2.1828 (2.5657) Prec@1 46.250 (37.642) Prec@5 76.250 (68.282) Epoch: [29][300/11272] Time 0.770 (0.818) Data 0.002 (0.008) Loss 2.7267 (2.5675) Prec@1 36.250 (37.587) Prec@5 67.500 (68.252) Epoch: [29][310/11272] Time 0.861 (0.818) Data 0.001 (0.008) Loss 2.6535 (2.5673) Prec@1 38.125 (37.566) Prec@5 71.875 (68.272) Epoch: [29][320/11272] Time 0.850 (0.817) Data 0.002 (0.008) Loss 2.7444 (2.5689) Prec@1 30.000 (37.500) Prec@5 61.875 (68.218) Epoch: [29][330/11272] Time 0.787 (0.817) Data 0.001 (0.008) Loss 2.8030 (2.5693) Prec@1 33.750 (37.477) Prec@5 62.500 (68.210) Epoch: [29][340/11272] Time 0.754 (0.817) Data 0.002 (0.007) Loss 2.8763 (2.5720) Prec@1 33.125 (37.412) Prec@5 59.375 (68.162) Epoch: [29][350/11272] Time 0.849 (0.817) Data 0.002 (0.007) Loss 2.6822 (2.5746) Prec@1 36.250 (37.334) Prec@5 69.375 (68.129) Epoch: [29][360/11272] Time 0.849 (0.816) Data 0.002 (0.007) Loss 2.6149 (2.5761) Prec@1 33.750 (37.311) Prec@5 67.500 (68.116) Epoch: [29][370/11272] Time 0.761 (0.816) Data 0.001 (0.007) Loss 2.5349 (2.5750) Prec@1 40.000 (37.310) Prec@5 68.125 (68.135) Epoch: [29][380/11272] Time 0.737 (0.816) Data 0.001 (0.007) Loss 2.8575 (2.5748) Prec@1 32.500 (37.311) Prec@5 60.625 (68.115) Epoch: [29][390/11272] Time 0.845 (0.816) Data 0.002 (0.007) Loss 2.7251 (2.5750) Prec@1 35.000 (37.324) Prec@5 61.875 (68.090) Epoch: [29][400/11272] Time 0.865 (0.816) Data 0.001 (0.007) Loss 2.5419 (2.5753) Prec@1 36.875 (37.297) Prec@5 69.375 (68.103) Epoch: [29][410/11272] Time 0.753 (0.816) Data 0.002 (0.006) Loss 2.6489 (2.5761) Prec@1 39.375 (37.292) Prec@5 58.750 (68.069) Epoch: [29][420/11272] Time 0.800 (0.815) Data 0.002 (0.006) Loss 2.3001 (2.5763) Prec@1 38.125 (37.261) Prec@5 76.250 (68.049) Epoch: [29][430/11272] Time 0.871 (0.815) Data 0.002 (0.006) Loss 2.8635 (2.5778) Prec@1 29.375 (37.216) Prec@5 63.125 (68.015) Epoch: [29][440/11272] Time 0.736 (0.815) Data 0.003 (0.006) Loss 2.8427 (2.5787) Prec@1 30.625 (37.175) Prec@5 65.000 (68.012) Epoch: [29][450/11272] Time 0.735 (0.815) Data 0.002 (0.006) Loss 2.3907 (2.5793) Prec@1 45.000 (37.195) Prec@5 72.500 (67.967) Epoch: [29][460/11272] Time 0.933 (0.815) Data 0.002 (0.006) Loss 2.5483 (2.5793) Prec@1 41.875 (37.192) Prec@5 70.000 (67.964) Epoch: [29][470/11272] Time 0.842 (0.815) Data 0.002 (0.006) Loss 2.7133 (2.5784) Prec@1 35.625 (37.195) Prec@5 64.375 (67.988) Epoch: [29][480/11272] Time 0.736 (0.815) Data 0.002 (0.006) Loss 2.7329 (2.5793) Prec@1 37.500 (37.200) Prec@5 60.625 (67.968) Epoch: [29][490/11272] Time 0.742 (0.815) Data 0.002 (0.006) Loss 2.5411 (2.5795) Prec@1 39.375 (37.180) Prec@5 68.750 (67.949) Epoch: [29][500/11272] Time 0.883 (0.815) Data 0.002 (0.006) Loss 2.6544 (2.5799) Prec@1 30.625 (37.162) Prec@5 69.375 (67.947) Epoch: [29][510/11272] Time 0.814 (0.815) Data 0.001 (0.006) Loss 2.6428 (2.5804) Prec@1 38.125 (37.177) Prec@5 64.375 (67.944) Epoch: [29][520/11272] Time 0.760 (0.814) Data 0.002 (0.005) Loss 2.5827 (2.5811) Prec@1 38.125 (37.193) Prec@5 65.625 (67.937) Epoch: [29][530/11272] Time 0.761 (0.815) Data 0.002 (0.005) Loss 2.6600 (2.5812) Prec@1 38.125 (37.195) Prec@5 68.125 (67.946) Epoch: [29][540/11272] Time 0.865 (0.814) Data 0.002 (0.005) Loss 2.4161 (2.5809) Prec@1 44.375 (37.210) Prec@5 71.250 (67.973) Epoch: [29][550/11272] Time 0.818 (0.814) Data 0.001 (0.005) Loss 2.7549 (2.5825) Prec@1 30.625 (37.169) Prec@5 63.750 (67.915) Epoch: [29][560/11272] Time 0.781 (0.814) Data 0.002 (0.005) Loss 2.5261 (2.5820) Prec@1 36.875 (37.178) Prec@5 68.125 (67.914) Epoch: [29][570/11272] Time 0.874 (0.815) Data 0.002 (0.005) Loss 2.4580 (2.5815) Prec@1 35.625 (37.177) Prec@5 71.875 (67.938) Epoch: [29][580/11272] Time 0.870 (0.814) Data 0.001 (0.005) Loss 3.0315 (2.5831) Prec@1 33.125 (37.161) Prec@5 59.375 (67.916) Epoch: [29][590/11272] Time 0.752 (0.815) Data 0.001 (0.005) Loss 2.5520 (2.5841) Prec@1 39.375 (37.136) Prec@5 69.375 (67.904) Epoch: [29][600/11272] Time 0.764 (0.815) Data 0.002 (0.005) Loss 2.9903 (2.5841) Prec@1 32.500 (37.165) Prec@5 60.625 (67.900) Epoch: [29][610/11272] Time 0.854 (0.815) Data 0.001 (0.005) Loss 2.6545 (2.5834) Prec@1 40.625 (37.200) Prec@5 66.250 (67.910) Epoch: [29][620/11272] Time 0.852 (0.815) Data 0.001 (0.005) Loss 2.3767 (2.5833) Prec@1 43.125 (37.219) Prec@5 70.625 (67.915) Epoch: [29][630/11272] Time 0.750 (0.814) Data 0.001 (0.005) Loss 2.7436 (2.5823) Prec@1 34.375 (37.282) Prec@5 62.500 (67.928) Epoch: [29][640/11272] Time 0.740 (0.814) Data 0.001 (0.005) Loss 2.5761 (2.5821) Prec@1 33.125 (37.260) Prec@5 66.875 (67.945) Epoch: [29][650/11272] Time 0.852 (0.815) Data 0.002 (0.005) Loss 2.3304 (2.5811) Prec@1 40.000 (37.256) Prec@5 71.875 (67.961) Epoch: [29][660/11272] Time 0.837 (0.815) Data 0.001 (0.005) Loss 2.8852 (2.5818) Prec@1 33.750 (37.242) Prec@5 64.375 (67.932) Epoch: [29][670/11272] Time 0.787 (0.815) Data 0.002 (0.005) Loss 2.4393 (2.5811) Prec@1 37.500 (37.245) Prec@5 71.875 (67.927) Epoch: [29][680/11272] Time 0.742 (0.814) Data 0.002 (0.005) Loss 2.7075 (2.5807) Prec@1 33.125 (37.252) Prec@5 65.625 (67.918) Epoch: [29][690/11272] Time 0.861 (0.815) Data 0.002 (0.005) Loss 2.7006 (2.5798) Prec@1 33.125 (37.255) Prec@5 65.625 (67.940) Epoch: [29][700/11272] Time 0.732 (0.814) Data 0.003 (0.005) Loss 2.8654 (2.5800) Prec@1 33.750 (37.251) Prec@5 60.000 (67.914) Epoch: [29][710/11272] Time 0.719 (0.814) Data 0.001 (0.004) Loss 2.8406 (2.5802) Prec@1 31.250 (37.235) Prec@5 65.000 (67.910) Epoch: [29][720/11272] Time 0.808 (0.814) Data 0.001 (0.004) Loss 2.3948 (2.5805) Prec@1 38.125 (37.199) Prec@5 73.125 (67.907) Epoch: [29][730/11272] Time 0.861 (0.814) Data 0.002 (0.004) Loss 2.5352 (2.5809) Prec@1 33.125 (37.174) Prec@5 70.000 (67.898) Epoch: [29][740/11272] Time 0.748 (0.814) Data 0.002 (0.004) Loss 2.5502 (2.5806) Prec@1 38.750 (37.179) Prec@5 70.000 (67.889) Epoch: [29][750/11272] Time 0.759 (0.814) Data 0.002 (0.004) Loss 2.5900 (2.5800) Prec@1 35.625 (37.184) Prec@5 66.875 (67.888) Epoch: [29][760/11272] Time 0.835 (0.814) Data 0.001 (0.004) Loss 2.5587 (2.5793) Prec@1 40.000 (37.217) Prec@5 68.750 (67.911) Epoch: [29][770/11272] Time 0.838 (0.814) Data 0.002 (0.004) Loss 2.6518 (2.5797) Prec@1 33.750 (37.202) Prec@5 68.750 (67.904) Epoch: [29][780/11272] Time 0.751 (0.814) Data 0.002 (0.004) Loss 2.6294 (2.5804) Prec@1 38.125 (37.191) Prec@5 67.500 (67.881) Epoch: [29][790/11272] Time 0.769 (0.814) Data 0.002 (0.004) Loss 2.5689 (2.5788) Prec@1 36.250 (37.231) Prec@5 67.500 (67.916) Epoch: [29][800/11272] Time 0.896 (0.814) Data 0.002 (0.004) Loss 2.6615 (2.5781) Prec@1 33.750 (37.225) Prec@5 67.500 (67.938) Epoch: [29][810/11272] Time 0.858 (0.814) Data 0.001 (0.004) Loss 2.6462 (2.5775) Prec@1 37.500 (37.250) Prec@5 68.125 (67.961) Epoch: [29][820/11272] Time 0.776 (0.814) Data 0.002 (0.004) Loss 2.4659 (2.5768) Prec@1 36.875 (37.262) Prec@5 70.625 (67.983) Epoch: [29][830/11272] Time 0.891 (0.814) Data 0.002 (0.004) Loss 2.5662 (2.5766) Prec@1 33.750 (37.253) Prec@5 68.125 (67.997) Epoch: [29][840/11272] Time 0.845 (0.814) Data 0.001 (0.004) Loss 2.4134 (2.5769) Prec@1 35.000 (37.229) Prec@5 71.875 (67.988) Epoch: [29][850/11272] Time 0.747 (0.814) Data 0.001 (0.004) Loss 2.7565 (2.5765) Prec@1 38.125 (37.248) Prec@5 60.000 (67.988) Epoch: [29][860/11272] Time 0.745 (0.814) Data 0.002 (0.004) Loss 2.5837 (2.5764) Prec@1 40.000 (37.239) Prec@5 70.000 (67.991) Epoch: [29][870/11272] Time 0.885 (0.814) Data 0.002 (0.004) Loss 2.3643 (2.5758) Prec@1 36.250 (37.240) Prec@5 72.500 (67.994) Epoch: [29][880/11272] Time 0.857 (0.814) Data 0.002 (0.004) Loss 2.5554 (2.5769) Prec@1 37.500 (37.225) Prec@5 68.125 (67.977) Epoch: [29][890/11272] Time 0.754 (0.814) Data 0.002 (0.004) Loss 2.3333 (2.5773) Prec@1 40.625 (37.222) Prec@5 74.375 (67.984) Epoch: [29][900/11272] Time 0.780 (0.814) Data 0.002 (0.004) Loss 2.5951 (2.5778) Prec@1 36.875 (37.199) Prec@5 65.625 (67.980) Epoch: [29][910/11272] Time 0.841 (0.814) Data 0.001 (0.004) Loss 2.8356 (2.5790) Prec@1 36.250 (37.177) Prec@5 61.875 (67.960) Epoch: [29][920/11272] Time 0.882 (0.814) Data 0.002 (0.004) Loss 2.2298 (2.5783) Prec@1 42.500 (37.175) Prec@5 74.375 (67.981) Epoch: [29][930/11272] Time 0.753 (0.814) Data 0.002 (0.004) Loss 2.5401 (2.5781) Prec@1 35.000 (37.183) Prec@5 68.750 (67.973) Epoch: [29][940/11272] Time 0.754 (0.814) Data 0.002 (0.004) Loss 2.4840 (2.5775) Prec@1 35.625 (37.199) Prec@5 71.875 (67.990) Epoch: [29][950/11272] Time 0.841 (0.814) Data 0.002 (0.004) Loss 2.6174 (2.5784) Prec@1 34.375 (37.194) Prec@5 68.125 (67.985) Epoch: [29][960/11272] Time 0.956 (0.814) Data 0.002 (0.004) Loss 2.5842 (2.5780) Prec@1 39.375 (37.201) Prec@5 63.750 (67.985) Epoch: [29][970/11272] Time 0.756 (0.814) Data 0.002 (0.004) Loss 2.5771 (2.5790) Prec@1 36.875 (37.176) Prec@5 67.500 (67.960) Epoch: [29][980/11272] Time 0.839 (0.814) Data 0.001 (0.004) Loss 2.6531 (2.5790) Prec@1 36.875 (37.187) Prec@5 66.875 (67.967) Epoch: [29][990/11272] Time 0.848 (0.814) Data 0.002 (0.004) Loss 2.8032 (2.5790) Prec@1 29.375 (37.197) Prec@5 70.625 (67.976) Epoch: [29][1000/11272] Time 0.762 (0.814) Data 0.002 (0.004) Loss 2.6066 (2.5793) Prec@1 40.625 (37.193) Prec@5 66.250 (67.971) Epoch: [29][1010/11272] Time 0.755 (0.814) Data 0.002 (0.004) Loss 2.3706 (2.5788) Prec@1 39.375 (37.200) Prec@5 69.375 (67.982) Epoch: [29][1020/11272] Time 0.875 (0.814) Data 0.002 (0.004) Loss 2.7347 (2.5796) Prec@1 35.000 (37.201) Prec@5 63.750 (67.958) Epoch: [29][1030/11272] Time 0.911 (0.814) Data 0.002 (0.004) Loss 2.7907 (2.5795) Prec@1 31.250 (37.210) Prec@5 65.000 (67.961) Epoch: [29][1040/11272] Time 0.731 (0.814) Data 0.002 (0.004) Loss 2.6248 (2.5799) Prec@1 31.875 (37.189) Prec@5 64.375 (67.952) Epoch: [29][1050/11272] Time 0.730 (0.814) Data 0.001 (0.004) Loss 2.4457 (2.5803) Prec@1 38.750 (37.172) Prec@5 71.250 (67.945) Epoch: [29][1060/11272] Time 0.926 (0.814) Data 0.002 (0.004) Loss 2.3914 (2.5798) Prec@1 38.750 (37.181) Prec@5 73.750 (67.974) Epoch: [29][1070/11272] Time 0.854 (0.814) Data 0.002 (0.004) Loss 2.3638 (2.5797) Prec@1 41.875 (37.187) Prec@5 73.125 (67.974) Epoch: [29][1080/11272] Time 0.767 (0.814) Data 0.002 (0.004) Loss 2.4797 (2.5793) Prec@1 36.250 (37.177) Prec@5 71.875 (67.986) Epoch: [29][1090/11272] Time 0.736 (0.814) Data 0.002 (0.004) Loss 2.4982 (2.5787) Prec@1 43.125 (37.193) Prec@5 70.625 (67.988) Epoch: [29][1100/11272] Time 0.919 (0.814) Data 0.001 (0.003) Loss 2.7540 (2.5784) Prec@1 33.125 (37.199) Prec@5 64.375 (67.994) Epoch: [29][1110/11272] Time 0.747 (0.814) Data 0.001 (0.003) Loss 2.7889 (2.5786) Prec@1 35.000 (37.185) Prec@5 63.125 (67.997) Epoch: [29][1120/11272] Time 0.756 (0.814) Data 0.002 (0.003) Loss 2.7085 (2.5788) Prec@1 32.500 (37.187) Prec@5 65.000 (67.989) Epoch: [29][1130/11272] Time 0.848 (0.814) Data 0.002 (0.003) Loss 2.5741 (2.5786) Prec@1 34.375 (37.184) Prec@5 71.250 (67.986) Epoch: [29][1140/11272] Time 0.864 (0.814) Data 0.002 (0.003) Loss 2.4255 (2.5785) Prec@1 40.625 (37.182) Prec@5 73.125 (67.990) Epoch: [29][1150/11272] Time 0.735 (0.814) Data 0.002 (0.003) Loss 2.7153 (2.5788) Prec@1 33.750 (37.185) Prec@5 61.875 (67.984) Epoch: [29][1160/11272] Time 0.783 (0.814) Data 0.002 (0.003) Loss 2.6099 (2.5795) Prec@1 38.750 (37.178) Prec@5 71.250 (67.971) Epoch: [29][1170/11272] Time 0.905 (0.814) Data 0.002 (0.003) Loss 2.6385 (2.5806) Prec@1 37.500 (37.170) Prec@5 70.625 (67.949) Epoch: [29][1180/11272] Time 0.928 (0.814) Data 0.001 (0.003) Loss 2.7513 (2.5811) Prec@1 33.750 (37.163) Prec@5 64.375 (67.925) Epoch: [29][1190/11272] Time 0.755 (0.814) Data 0.002 (0.003) Loss 2.5032 (2.5813) Prec@1 36.875 (37.151) Prec@5 67.500 (67.917) Epoch: [29][1200/11272] Time 0.745 (0.814) Data 0.002 (0.003) Loss 2.4257 (2.5809) Prec@1 38.750 (37.148) Prec@5 73.750 (67.926) Epoch: [29][1210/11272] Time 0.900 (0.814) Data 0.002 (0.003) Loss 2.4879 (2.5807) Prec@1 46.875 (37.159) Prec@5 70.000 (67.931) Epoch: [29][1220/11272] Time 0.846 (0.814) Data 0.002 (0.003) Loss 2.8470 (2.5801) Prec@1 30.625 (37.167) Prec@5 58.125 (67.937) Epoch: [29][1230/11272] Time 0.789 (0.814) Data 0.002 (0.003) Loss 2.5836 (2.5800) Prec@1 36.875 (37.173) Prec@5 68.750 (67.944) Epoch: [29][1240/11272] Time 0.845 (0.814) Data 0.001 (0.003) Loss 2.4929 (2.5803) Prec@1 33.750 (37.163) Prec@5 72.500 (67.946) Epoch: [29][1250/11272] Time 0.934 (0.814) Data 0.002 (0.003) Loss 2.6115 (2.5805) Prec@1 34.375 (37.148) Prec@5 69.375 (67.952) Epoch: [29][1260/11272] Time 0.768 (0.814) Data 0.002 (0.003) Loss 2.6025 (2.5806) Prec@1 35.000 (37.142) Prec@5 65.625 (67.945) Epoch: [29][1270/11272] Time 0.741 (0.814) Data 0.001 (0.003) Loss 2.3997 (2.5812) Prec@1 41.250 (37.142) Prec@5 69.375 (67.928) Epoch: [29][1280/11272] Time 0.846 (0.814) Data 0.002 (0.003) Loss 2.9479 (2.5819) Prec@1 31.250 (37.125) Prec@5 61.875 (67.918) Epoch: [29][1290/11272] Time 0.884 (0.814) Data 0.002 (0.003) Loss 2.6696 (2.5826) Prec@1 41.250 (37.105) Prec@5 66.250 (67.917) Epoch: [29][1300/11272] Time 0.769 (0.814) Data 0.002 (0.003) Loss 2.5832 (2.5824) Prec@1 33.125 (37.115) Prec@5 70.000 (67.923) Epoch: [29][1310/11272] Time 0.722 (0.814) Data 0.002 (0.003) Loss 2.7578 (2.5832) Prec@1 39.375 (37.108) Prec@5 63.125 (67.910) Epoch: [29][1320/11272] Time 0.865 (0.814) Data 0.002 (0.003) Loss 2.9055 (2.5830) Prec@1 33.750 (37.115) Prec@5 65.625 (67.923) Epoch: [29][1330/11272] Time 0.886 (0.814) Data 0.001 (0.003) Loss 2.7201 (2.5828) Prec@1 35.000 (37.123) Prec@5 67.500 (67.932) Epoch: [29][1340/11272] Time 0.818 (0.814) Data 0.002 (0.003) Loss 2.6173 (2.5829) Prec@1 36.875 (37.111) Prec@5 66.250 (67.929) Epoch: [29][1350/11272] Time 0.760 (0.814) Data 0.002 (0.003) Loss 2.4800 (2.5829) Prec@1 36.875 (37.114) Prec@5 71.875 (67.939) Epoch: [29][1360/11272] Time 0.846 (0.814) Data 0.001 (0.003) Loss 2.5300 (2.5831) Prec@1 36.250 (37.123) Prec@5 69.375 (67.940) Epoch: [29][1370/11272] Time 0.744 (0.814) Data 0.003 (0.003) Loss 2.6037 (2.5835) Prec@1 35.000 (37.113) Prec@5 67.500 (67.936) Epoch: [29][1380/11272] Time 0.790 (0.814) Data 0.001 (0.003) Loss 2.6653 (2.5838) Prec@1 41.875 (37.117) Prec@5 66.875 (67.936) Epoch: [29][1390/11272] Time 0.906 (0.814) Data 0.002 (0.003) Loss 2.6049 (2.5838) Prec@1 35.625 (37.114) Prec@5 62.500 (67.933) Epoch: [29][1400/11272] Time 0.898 (0.814) Data 0.002 (0.003) Loss 2.4865 (2.5836) Prec@1 44.375 (37.123) Prec@5 67.500 (67.929) Epoch: [29][1410/11272] Time 0.734 (0.814) Data 0.002 (0.003) Loss 2.1360 (2.5833) Prec@1 45.625 (37.127) Prec@5 77.500 (67.934) Epoch: [29][1420/11272] Time 0.774 (0.814) Data 0.002 (0.003) Loss 2.4680 (2.5836) Prec@1 41.875 (37.124) Prec@5 68.750 (67.932) Epoch: [29][1430/11272] Time 0.827 (0.814) Data 0.001 (0.003) Loss 2.5370 (2.5834) Prec@1 37.500 (37.127) Prec@5 70.000 (67.935) Epoch: [29][1440/11272] Time 0.893 (0.814) Data 0.002 (0.003) Loss 2.8861 (2.5832) Prec@1 31.250 (37.129) Prec@5 60.000 (67.944) Epoch: [29][1450/11272] Time 0.738 (0.814) Data 0.002 (0.003) Loss 2.5960 (2.5830) Prec@1 33.750 (37.131) Prec@5 70.625 (67.952) Epoch: [29][1460/11272] Time 0.767 (0.814) Data 0.002 (0.003) Loss 2.7192 (2.5830) Prec@1 30.000 (37.121) Prec@5 61.875 (67.951) Epoch: [29][1470/11272] Time 0.864 (0.814) Data 0.002 (0.003) Loss 2.7960 (2.5833) Prec@1 34.375 (37.115) Prec@5 64.375 (67.947) Epoch: [29][1480/11272] Time 0.905 (0.814) Data 0.001 (0.003) Loss 2.6854 (2.5834) Prec@1 38.750 (37.123) Prec@5 64.375 (67.943) Epoch: [29][1490/11272] Time 0.743 (0.814) Data 0.002 (0.003) Loss 2.4344 (2.5838) Prec@1 43.125 (37.113) Prec@5 67.500 (67.933) Epoch: [29][1500/11272] Time 0.828 (0.814) Data 0.002 (0.003) Loss 2.6449 (2.5841) Prec@1 35.625 (37.107) Prec@5 67.500 (67.929) Epoch: [29][1510/11272] Time 0.845 (0.814) Data 0.002 (0.003) Loss 2.6981 (2.5836) Prec@1 36.250 (37.121) Prec@5 65.625 (67.945) Epoch: [29][1520/11272] Time 0.735 (0.814) Data 0.001 (0.003) Loss 2.6663 (2.5837) Prec@1 34.375 (37.115) Prec@5 63.750 (67.942) Epoch: [29][1530/11272] Time 0.734 (0.814) Data 0.001 (0.003) Loss 2.9496 (2.5840) Prec@1 28.125 (37.113) Prec@5 59.375 (67.935) Epoch: [29][1540/11272] Time 0.867 (0.814) Data 0.002 (0.003) Loss 2.7175 (2.5842) Prec@1 31.875 (37.113) Prec@5 65.625 (67.936) Epoch: [29][1550/11272] Time 0.802 (0.814) Data 0.002 (0.003) Loss 2.6995 (2.5842) Prec@1 36.875 (37.117) Prec@5 67.500 (67.936) Epoch: [29][1560/11272] Time 0.790 (0.814) Data 0.001 (0.003) Loss 2.5255 (2.5841) Prec@1 36.250 (37.114) Prec@5 64.375 (67.944) Epoch: [29][1570/11272] Time 0.755 (0.814) Data 0.002 (0.003) Loss 2.3518 (2.5842) Prec@1 39.375 (37.114) Prec@5 75.625 (67.940) Epoch: [29][1580/11272] Time 0.877 (0.814) Data 0.002 (0.003) Loss 2.5085 (2.5832) Prec@1 40.625 (37.132) Prec@5 70.000 (67.963) Epoch: [29][1590/11272] Time 0.845 (0.814) Data 0.002 (0.003) Loss 2.5017 (2.5837) Prec@1 39.375 (37.130) Prec@5 62.500 (67.940) Epoch: [29][1600/11272] Time 0.750 (0.814) Data 0.002 (0.003) Loss 2.5649 (2.5837) Prec@1 36.250 (37.133) Prec@5 68.125 (67.934) Epoch: [29][1610/11272] Time 0.733 (0.814) Data 0.002 (0.003) Loss 2.4637 (2.5836) Prec@1 41.250 (37.134) Prec@5 67.500 (67.936) Epoch: [29][1620/11272] Time 0.875 (0.814) Data 0.002 (0.003) Loss 2.5371 (2.5835) Prec@1 35.625 (37.140) Prec@5 69.375 (67.936) Epoch: [29][1630/11272] Time 0.741 (0.814) Data 0.003 (0.003) Loss 2.6427 (2.5835) Prec@1 41.250 (37.144) Prec@5 66.875 (67.935) Epoch: [29][1640/11272] Time 0.770 (0.814) Data 0.002 (0.003) Loss 2.5457 (2.5834) Prec@1 36.250 (37.141) Prec@5 66.250 (67.938) Epoch: [29][1650/11272] Time 0.844 (0.814) Data 0.002 (0.003) Loss 2.8079 (2.5833) Prec@1 36.875 (37.143) Prec@5 66.250 (67.930) Epoch: [29][1660/11272] Time 0.865 (0.814) Data 0.002 (0.003) Loss 2.7372 (2.5837) Prec@1 31.875 (37.138) Prec@5 63.125 (67.922) Epoch: [29][1670/11272] Time 0.772 (0.814) Data 0.002 (0.003) Loss 2.5345 (2.5835) Prec@1 38.750 (37.139) Prec@5 64.375 (67.927) Epoch: [29][1680/11272] Time 0.754 (0.814) Data 0.002 (0.003) Loss 2.6444 (2.5832) Prec@1 37.500 (37.143) Prec@5 68.750 (67.929) Epoch: [29][1690/11272] Time 0.865 (0.814) Data 0.002 (0.003) Loss 2.6113 (2.5832) Prec@1 35.625 (37.134) Prec@5 70.625 (67.932) Epoch: [29][1700/11272] Time 0.898 (0.814) Data 0.002 (0.003) Loss 2.4707 (2.5830) Prec@1 41.875 (37.125) Prec@5 71.250 (67.938) Epoch: [29][1710/11272] Time 0.761 (0.814) Data 0.002 (0.003) Loss 2.6444 (2.5834) Prec@1 34.375 (37.122) Prec@5 70.000 (67.933) Epoch: [29][1720/11272] Time 0.756 (0.814) Data 0.001 (0.003) Loss 2.5955 (2.5836) Prec@1 34.375 (37.118) Prec@5 68.125 (67.929) Epoch: [29][1730/11272] Time 0.899 (0.814) Data 0.002 (0.003) Loss 2.4263 (2.5834) Prec@1 38.125 (37.120) Prec@5 73.750 (67.939) Epoch: [29][1740/11272] Time 0.849 (0.814) Data 0.002 (0.003) Loss 2.8055 (2.5838) Prec@1 35.625 (37.119) Prec@5 69.375 (67.935) Epoch: [29][1750/11272] Time 0.779 (0.813) Data 0.002 (0.003) Loss 2.5207 (2.5842) Prec@1 35.625 (37.117) Prec@5 70.000 (67.928) Epoch: [29][1760/11272] Time 0.894 (0.813) Data 0.002 (0.003) Loss 2.5103 (2.5844) Prec@1 39.375 (37.114) Prec@5 65.625 (67.922) Epoch: [29][1770/11272] Time 0.902 (0.813) Data 0.002 (0.003) Loss 2.3336 (2.5841) Prec@1 43.125 (37.113) Prec@5 73.750 (67.924) Epoch: [29][1780/11272] Time 0.722 (0.813) Data 0.001 (0.003) Loss 2.4647 (2.5846) Prec@1 41.250 (37.105) Prec@5 66.250 (67.910) Epoch: [29][1790/11272] Time 0.757 (0.813) Data 0.002 (0.003) Loss 2.5725 (2.5849) Prec@1 36.250 (37.102) Prec@5 65.625 (67.909) Epoch: [29][1800/11272] Time 0.848 (0.813) Data 0.002 (0.003) Loss 2.5461 (2.5850) Prec@1 36.875 (37.106) Prec@5 64.375 (67.903) Epoch: [29][1810/11272] Time 0.857 (0.813) Data 0.002 (0.003) Loss 2.5150 (2.5847) Prec@1 38.125 (37.113) Prec@5 70.625 (67.907) Epoch: [29][1820/11272] Time 0.738 (0.813) Data 0.001 (0.003) Loss 2.5176 (2.5844) Prec@1 42.500 (37.122) Prec@5 63.750 (67.905) Epoch: [29][1830/11272] Time 0.750 (0.813) Data 0.002 (0.003) Loss 2.5067 (2.5846) Prec@1 32.500 (37.106) Prec@5 70.625 (67.895) Epoch: [29][1840/11272] Time 0.847 (0.813) Data 0.002 (0.003) Loss 2.6720 (2.5848) Prec@1 32.500 (37.102) Prec@5 63.750 (67.889) Epoch: [29][1850/11272] Time 0.866 (0.813) Data 0.002 (0.003) Loss 2.6309 (2.5845) Prec@1 38.125 (37.102) Prec@5 68.750 (67.897) Epoch: [29][1860/11272] Time 0.732 (0.813) Data 0.002 (0.003) Loss 2.5625 (2.5843) Prec@1 40.625 (37.114) Prec@5 68.125 (67.900) Epoch: [29][1870/11272] Time 0.761 (0.813) Data 0.002 (0.003) Loss 2.6586 (2.5842) Prec@1 33.125 (37.115) Prec@5 67.500 (67.903) Epoch: [29][1880/11272] Time 0.843 (0.813) Data 0.002 (0.003) Loss 2.3379 (2.5839) Prec@1 40.000 (37.114) Prec@5 73.750 (67.913) Epoch: [29][1890/11272] Time 0.860 (0.813) Data 0.002 (0.003) Loss 2.6466 (2.5841) Prec@1 31.875 (37.101) Prec@5 69.375 (67.910) Epoch: [29][1900/11272] Time 0.753 (0.813) Data 0.002 (0.003) Loss 2.5990 (2.5849) Prec@1 43.750 (37.087) Prec@5 70.000 (67.895) Epoch: [29][1910/11272] Time 0.859 (0.813) Data 0.002 (0.003) Loss 2.5919 (2.5851) Prec@1 36.250 (37.083) Prec@5 73.125 (67.894) Epoch: [29][1920/11272] Time 0.853 (0.814) Data 0.001 (0.003) Loss 2.6903 (2.5855) Prec@1 37.500 (37.073) Prec@5 68.125 (67.889) Epoch: [29][1930/11272] Time 0.745 (0.813) Data 0.002 (0.003) Loss 2.5154 (2.5852) Prec@1 36.875 (37.072) Prec@5 73.125 (67.893) Epoch: [29][1940/11272] Time 0.791 (0.813) Data 0.002 (0.003) Loss 2.3970 (2.5855) Prec@1 40.000 (37.064) Prec@5 68.125 (67.885) Epoch: [29][1950/11272] Time 0.900 (0.813) Data 0.002 (0.003) Loss 2.6603 (2.5856) Prec@1 35.000 (37.061) Prec@5 65.625 (67.883) Epoch: [29][1960/11272] Time 0.874 (0.813) Data 0.001 (0.003) Loss 2.7571 (2.5857) Prec@1 34.375 (37.059) Prec@5 65.625 (67.880) Epoch: [29][1970/11272] Time 0.765 (0.813) Data 0.002 (0.003) Loss 2.8457 (2.5859) Prec@1 28.125 (37.048) Prec@5 65.000 (67.873) Epoch: [29][1980/11272] Time 0.765 (0.813) Data 0.002 (0.003) Loss 2.4169 (2.5859) Prec@1 37.500 (37.044) Prec@5 73.750 (67.868) Epoch: [29][1990/11272] Time 0.874 (0.814) Data 0.002 (0.003) Loss 2.4333 (2.5856) Prec@1 36.250 (37.050) Prec@5 70.000 (67.873) Epoch: [29][2000/11272] Time 0.851 (0.814) Data 0.002 (0.003) Loss 2.5155 (2.5857) Prec@1 41.250 (37.048) Prec@5 68.125 (67.869) Epoch: [29][2010/11272] Time 0.740 (0.813) Data 0.002 (0.003) Loss 2.5635 (2.5860) Prec@1 38.125 (37.044) Prec@5 70.625 (67.866) Epoch: [29][2020/11272] Time 0.744 (0.813) Data 0.001 (0.003) Loss 2.3563 (2.5861) Prec@1 43.125 (37.046) Prec@5 73.125 (67.865) Epoch: [29][2030/11272] Time 0.894 (0.813) Data 0.002 (0.003) Loss 2.7609 (2.5859) Prec@1 31.875 (37.054) Prec@5 65.625 (67.868) Epoch: [29][2040/11272] Time 0.804 (0.813) Data 0.001 (0.003) Loss 2.5590 (2.5861) Prec@1 36.250 (37.053) Prec@5 73.125 (67.873) Epoch: [29][2050/11272] Time 0.751 (0.813) Data 0.002 (0.003) Loss 2.7809 (2.5863) Prec@1 29.375 (37.051) Prec@5 64.375 (67.868) Epoch: [29][2060/11272] Time 0.873 (0.813) Data 0.002 (0.003) Loss 2.6857 (2.5867) Prec@1 36.250 (37.048) Prec@5 68.750 (67.865) Epoch: [29][2070/11272] Time 0.853 (0.813) Data 0.002 (0.003) Loss 2.8024 (2.5868) Prec@1 31.250 (37.036) Prec@5 64.375 (67.871) Epoch: [29][2080/11272] Time 0.749 (0.813) Data 0.002 (0.003) Loss 2.8318 (2.5868) Prec@1 35.625 (37.039) Prec@5 66.250 (67.866) Epoch: [29][2090/11272] Time 0.763 (0.813) Data 0.002 (0.003) Loss 2.8157 (2.5867) Prec@1 28.125 (37.037) Prec@5 65.000 (67.871) Epoch: [29][2100/11272] Time 0.900 (0.813) Data 0.002 (0.003) Loss 2.6250 (2.5865) Prec@1 33.750 (37.040) Prec@5 66.250 (67.873) Epoch: [29][2110/11272] Time 0.858 (0.814) Data 0.002 (0.003) Loss 2.3522 (2.5861) Prec@1 36.250 (37.044) Prec@5 69.375 (67.880) Epoch: [29][2120/11272] Time 0.767 (0.813) Data 0.002 (0.003) Loss 2.5005 (2.5864) Prec@1 33.750 (37.037) Prec@5 69.375 (67.872) Epoch: [29][2130/11272] Time 0.753 (0.813) Data 0.001 (0.003) Loss 2.4553 (2.5865) Prec@1 36.250 (37.030) Prec@5 71.250 (67.872) Epoch: [29][2140/11272] Time 0.884 (0.814) Data 0.002 (0.003) Loss 2.6731 (2.5868) Prec@1 39.375 (37.029) Prec@5 66.875 (67.869) Epoch: [29][2150/11272] Time 0.827 (0.813) Data 0.002 (0.003) Loss 2.5212 (2.5870) Prec@1 37.500 (37.023) Prec@5 69.375 (67.871) Epoch: [29][2160/11272] Time 0.742 (0.813) Data 0.002 (0.003) Loss 2.7251 (2.5872) Prec@1 35.625 (37.018) Prec@5 62.500 (67.866) Epoch: [29][2170/11272] Time 0.920 (0.813) Data 0.002 (0.003) Loss 2.6415 (2.5872) Prec@1 39.375 (37.022) Prec@5 73.125 (67.869) Epoch: [29][2180/11272] Time 0.876 (0.813) Data 0.001 (0.003) Loss 2.5840 (2.5870) Prec@1 38.750 (37.024) Prec@5 72.500 (67.874) Epoch: [29][2190/11272] Time 0.740 (0.813) Data 0.001 (0.003) Loss 2.7247 (2.5870) Prec@1 36.250 (37.030) Prec@5 65.625 (67.871) Epoch: [29][2200/11272] Time 0.788 (0.813) Data 0.002 (0.003) Loss 2.5125 (2.5868) Prec@1 31.875 (37.023) Prec@5 66.250 (67.873) Epoch: [29][2210/11272] Time 0.914 (0.813) Data 0.002 (0.003) Loss 2.4609 (2.5869) Prec@1 38.125 (37.020) Prec@5 71.875 (67.873) Epoch: [29][2220/11272] Time 0.873 (0.813) Data 0.002 (0.003) Loss 2.4430 (2.5864) Prec@1 37.500 (37.025) Prec@5 70.625 (67.889) Epoch: [29][2230/11272] Time 0.771 (0.813) Data 0.002 (0.003) Loss 2.4039 (2.5864) Prec@1 43.125 (37.024) Prec@5 71.250 (67.885) Epoch: [29][2240/11272] Time 0.738 (0.813) Data 0.002 (0.003) Loss 2.3587 (2.5863) Prec@1 42.500 (37.029) Prec@5 69.375 (67.888) Epoch: [29][2250/11272] Time 0.847 (0.813) Data 0.002 (0.003) Loss 2.9082 (2.5867) Prec@1 28.125 (37.022) Prec@5 61.250 (67.882) Epoch: [29][2260/11272] Time 0.909 (0.813) Data 0.002 (0.003) Loss 2.5831 (2.5864) Prec@1 34.375 (37.025) Prec@5 64.375 (67.886) Epoch: [29][2270/11272] Time 0.751 (0.813) Data 0.001 (0.003) Loss 2.4160 (2.5866) Prec@1 39.375 (37.025) Prec@5 70.625 (67.878) Epoch: [29][2280/11272] Time 0.734 (0.813) Data 0.002 (0.003) Loss 2.4876 (2.5868) Prec@1 37.500 (37.023) Prec@5 66.875 (67.873) Epoch: [29][2290/11272] Time 0.868 (0.813) Data 0.002 (0.003) Loss 2.8025 (2.5871) Prec@1 32.500 (37.020) Prec@5 61.875 (67.868) Epoch: [29][2300/11272] Time 0.742 (0.813) Data 0.003 (0.003) Loss 2.6462 (2.5875) Prec@1 32.500 (37.002) Prec@5 70.000 (67.858) Epoch: [29][2310/11272] Time 0.731 (0.813) Data 0.002 (0.003) Loss 2.5914 (2.5876) Prec@1 38.125 (37.001) Prec@5 65.000 (67.855) Epoch: [29][2320/11272] Time 0.835 (0.813) Data 0.002 (0.003) Loss 2.6602 (2.5879) Prec@1 33.125 (36.994) Prec@5 66.250 (67.848) Epoch: [29][2330/11272] Time 0.896 (0.813) Data 0.002 (0.003) Loss 2.3729 (2.5878) Prec@1 43.750 (37.002) Prec@5 70.625 (67.845) Epoch: [29][2340/11272] Time 0.750 (0.813) Data 0.002 (0.003) Loss 2.5231 (2.5878) Prec@1 43.750 (37.003) Prec@5 71.875 (67.846) Epoch: [29][2350/11272] Time 0.748 (0.813) Data 0.002 (0.003) Loss 2.4660 (2.5876) Prec@1 42.500 (37.004) Prec@5 68.750 (67.849) Epoch: [29][2360/11272] Time 0.865 (0.813) Data 0.002 (0.003) Loss 2.6733 (2.5877) Prec@1 38.750 (37.009) Prec@5 67.500 (67.849) Epoch: [29][2370/11272] Time 0.875 (0.813) Data 0.003 (0.003) Loss 2.5794 (2.5878) Prec@1 35.000 (37.003) Prec@5 74.375 (67.852) Epoch: [29][2380/11272] Time 0.736 (0.813) Data 0.002 (0.003) Loss 2.2165 (2.5874) Prec@1 46.875 (37.011) Prec@5 75.625 (67.861) Epoch: [29][2390/11272] Time 0.703 (0.813) Data 0.001 (0.003) Loss 2.7462 (2.5874) Prec@1 33.750 (37.016) Prec@5 67.500 (67.864) Epoch: [29][2400/11272] Time 0.901 (0.813) Data 0.002 (0.003) Loss 2.5370 (2.5875) Prec@1 43.125 (37.013) Prec@5 70.000 (67.860) Epoch: [29][2410/11272] Time 0.856 (0.813) Data 0.002 (0.003) Loss 2.5928 (2.5874) Prec@1 36.250 (37.008) Prec@5 68.125 (67.866) Epoch: [29][2420/11272] Time 0.751 (0.813) Data 0.002 (0.003) Loss 2.4460 (2.5872) Prec@1 36.875 (37.011) Prec@5 70.625 (67.869) Epoch: [29][2430/11272] Time 0.882 (0.813) Data 0.001 (0.003) Loss 2.3983 (2.5869) Prec@1 41.875 (37.014) Prec@5 71.250 (67.878) Epoch: [29][2440/11272] Time 0.883 (0.813) Data 0.002 (0.003) Loss 2.4058 (2.5869) Prec@1 37.500 (37.015) Prec@5 71.250 (67.876) Epoch: [29][2450/11272] Time 0.765 (0.813) Data 0.001 (0.003) Loss 2.7005 (2.5869) Prec@1 34.375 (37.014) Prec@5 61.250 (67.872) Epoch: [29][2460/11272] Time 0.731 (0.813) Data 0.001 (0.003) Loss 2.6598 (2.5872) Prec@1 35.625 (37.008) Prec@5 70.000 (67.868) Epoch: [29][2470/11272] Time 0.858 (0.813) Data 0.002 (0.003) Loss 2.7934 (2.5872) Prec@1 31.250 (37.004) Prec@5 62.500 (67.866) Epoch: [29][2480/11272] Time 0.851 (0.813) Data 0.002 (0.003) Loss 2.6825 (2.5872) Prec@1 41.875 (37.006) Prec@5 68.125 (67.865) Epoch: [29][2490/11272] Time 0.746 (0.813) Data 0.002 (0.003) Loss 2.7771 (2.5873) Prec@1 32.500 (37.001) Prec@5 65.000 (67.868) Epoch: [29][2500/11272] Time 0.760 (0.813) Data 0.002 (0.002) Loss 2.6748 (2.5874) Prec@1 32.500 (36.992) Prec@5 64.375 (67.869) Epoch: [29][2510/11272] Time 0.877 (0.813) Data 0.002 (0.002) Loss 2.4883 (2.5874) Prec@1 33.125 (36.998) Prec@5 66.875 (67.864) Epoch: [29][2520/11272] Time 0.859 (0.813) Data 0.002 (0.002) Loss 2.6102 (2.5872) Prec@1 35.000 (36.998) Prec@5 66.250 (67.862) Epoch: [29][2530/11272] Time 0.742 (0.813) Data 0.002 (0.002) Loss 2.6756 (2.5874) Prec@1 33.125 (36.999) Prec@5 68.125 (67.859) Epoch: [29][2540/11272] Time 0.785 (0.813) Data 0.002 (0.002) Loss 2.6930 (2.5873) Prec@1 33.750 (37.000) Prec@5 68.125 (67.860) Epoch: [29][2550/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.6090 (2.5876) Prec@1 36.875 (36.998) Prec@5 68.125 (67.849) Epoch: [29][2560/11272] Time 0.762 (0.813) Data 0.003 (0.002) Loss 2.6001 (2.5875) Prec@1 38.750 (37.002) Prec@5 65.000 (67.851) Epoch: [29][2570/11272] Time 0.776 (0.813) Data 0.002 (0.002) Loss 2.3338 (2.5876) Prec@1 41.875 (36.996) Prec@5 75.625 (67.845) Epoch: [29][2580/11272] Time 0.843 (0.813) Data 0.002 (0.002) Loss 2.6507 (2.5877) Prec@1 35.000 (36.992) Prec@5 67.500 (67.841) Epoch: [29][2590/11272] Time 0.864 (0.813) Data 0.002 (0.002) Loss 2.7679 (2.5876) Prec@1 35.000 (37.000) Prec@5 62.500 (67.841) Epoch: [29][2600/11272] Time 0.787 (0.813) Data 0.002 (0.002) Loss 2.6396 (2.5881) Prec@1 36.250 (36.992) Prec@5 65.625 (67.829) Epoch: [29][2610/11272] Time 0.728 (0.813) Data 0.001 (0.002) Loss 2.6524 (2.5877) Prec@1 38.125 (37.006) Prec@5 68.125 (67.841) Epoch: [29][2620/11272] Time 0.885 (0.813) Data 0.002 (0.002) Loss 2.5475 (2.5874) Prec@1 38.750 (37.017) Prec@5 64.375 (67.842) Epoch: [29][2630/11272] Time 0.827 (0.813) Data 0.002 (0.002) Loss 2.3580 (2.5872) Prec@1 39.375 (37.018) Prec@5 72.500 (67.843) Epoch: [29][2640/11272] Time 0.761 (0.813) Data 0.002 (0.002) Loss 2.5021 (2.5872) Prec@1 39.375 (37.015) Prec@5 68.125 (67.841) Epoch: [29][2650/11272] Time 0.749 (0.813) Data 0.002 (0.002) Loss 2.6692 (2.5872) Prec@1 34.375 (37.018) Prec@5 65.000 (67.837) Epoch: [29][2660/11272] Time 0.851 (0.813) Data 0.002 (0.002) Loss 2.5545 (2.5874) Prec@1 37.500 (37.015) Prec@5 71.250 (67.839) Epoch: [29][2670/11272] Time 0.852 (0.813) Data 0.001 (0.002) Loss 2.5292 (2.5875) Prec@1 31.875 (37.016) Prec@5 71.875 (67.836) Epoch: [29][2680/11272] Time 0.761 (0.813) Data 0.002 (0.002) Loss 2.5943 (2.5875) Prec@1 33.750 (37.012) Prec@5 66.250 (67.832) Epoch: [29][2690/11272] Time 0.857 (0.813) Data 0.002 (0.002) Loss 2.7888 (2.5877) Prec@1 38.750 (37.009) Prec@5 61.875 (67.827) Epoch: [29][2700/11272] Time 0.854 (0.813) Data 0.002 (0.002) Loss 2.4794 (2.5877) Prec@1 40.625 (37.016) Prec@5 68.750 (67.824) Epoch: [29][2710/11272] Time 0.746 (0.813) Data 0.002 (0.002) Loss 2.6680 (2.5878) Prec@1 38.750 (37.020) Prec@5 67.500 (67.817) Epoch: [29][2720/11272] Time 0.739 (0.813) Data 0.002 (0.002) Loss 2.7528 (2.5877) Prec@1 31.250 (37.013) Prec@5 63.125 (67.821) Epoch: [29][2730/11272] Time 0.882 (0.813) Data 0.002 (0.002) Loss 2.3946 (2.5883) Prec@1 38.750 (37.007) Prec@5 69.375 (67.809) Epoch: [29][2740/11272] Time 0.873 (0.813) Data 0.001 (0.002) Loss 2.5998 (2.5883) Prec@1 36.875 (37.011) Prec@5 65.625 (67.804) Epoch: [29][2750/11272] Time 0.770 (0.813) Data 0.002 (0.002) Loss 2.6083 (2.5884) Prec@1 35.625 (37.004) Prec@5 68.750 (67.799) Epoch: [29][2760/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.5651 (2.5886) Prec@1 34.375 (36.997) Prec@5 66.875 (67.795) Epoch: [29][2770/11272] Time 0.913 (0.813) Data 0.002 (0.002) Loss 2.6232 (2.5885) Prec@1 35.625 (37.000) Prec@5 67.500 (67.793) Epoch: [29][2780/11272] Time 0.887 (0.813) Data 0.002 (0.002) Loss 2.5547 (2.5887) Prec@1 37.500 (37.005) Prec@5 68.125 (67.788) Epoch: [29][2790/11272] Time 0.794 (0.813) Data 0.002 (0.002) Loss 2.7297 (2.5886) Prec@1 33.750 (37.010) Prec@5 68.125 (67.790) Epoch: [29][2800/11272] Time 0.765 (0.813) Data 0.002 (0.002) Loss 2.5571 (2.5885) Prec@1 41.250 (37.008) Prec@5 65.000 (67.786) Epoch: [29][2810/11272] Time 0.863 (0.813) Data 0.002 (0.002) Loss 2.6218 (2.5887) Prec@1 35.000 (37.004) Prec@5 62.500 (67.785) Epoch: [29][2820/11272] Time 0.844 (0.813) Data 0.001 (0.002) Loss 2.7318 (2.5892) Prec@1 33.125 (36.997) Prec@5 64.375 (67.772) Epoch: [29][2830/11272] Time 0.735 (0.813) Data 0.002 (0.002) Loss 2.6068 (2.5891) Prec@1 43.750 (36.997) Prec@5 70.625 (67.777) Epoch: [29][2840/11272] Time 0.831 (0.813) Data 0.001 (0.002) Loss 2.6275 (2.5890) Prec@1 38.750 (36.995) Prec@5 68.125 (67.773) Epoch: [29][2850/11272] Time 0.840 (0.813) Data 0.002 (0.002) Loss 2.4384 (2.5887) Prec@1 37.500 (37.002) Prec@5 76.250 (67.778) Epoch: [29][2860/11272] Time 0.770 (0.813) Data 0.002 (0.002) Loss 2.6831 (2.5884) Prec@1 36.250 (37.009) Prec@5 68.750 (67.785) Epoch: [29][2870/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.4136 (2.5883) Prec@1 36.875 (37.014) Prec@5 70.625 (67.791) Epoch: [29][2880/11272] Time 0.870 (0.813) Data 0.002 (0.002) Loss 2.4786 (2.5881) Prec@1 35.625 (37.018) Prec@5 73.125 (67.800) Epoch: [29][2890/11272] Time 0.859 (0.813) Data 0.002 (0.002) Loss 2.2357 (2.5880) Prec@1 39.375 (37.014) Prec@5 75.625 (67.798) Epoch: [29][2900/11272] Time 0.722 (0.813) Data 0.001 (0.002) Loss 2.6017 (2.5880) Prec@1 38.125 (37.013) Prec@5 68.125 (67.798) Epoch: [29][2910/11272] Time 0.754 (0.813) Data 0.002 (0.002) Loss 2.7791 (2.5883) Prec@1 36.875 (37.008) Prec@5 62.500 (67.791) Epoch: [29][2920/11272] Time 0.880 (0.813) Data 0.002 (0.002) Loss 2.3804 (2.5885) Prec@1 46.250 (37.005) Prec@5 73.750 (67.789) Epoch: [29][2930/11272] Time 0.950 (0.813) Data 0.002 (0.002) Loss 2.5294 (2.5885) Prec@1 42.500 (37.003) Prec@5 68.125 (67.788) Epoch: [29][2940/11272] Time 0.742 (0.813) Data 0.002 (0.002) Loss 2.4859 (2.5884) Prec@1 40.625 (37.007) Prec@5 68.125 (67.790) Epoch: [29][2950/11272] Time 0.761 (0.813) Data 0.002 (0.002) Loss 2.7723 (2.5885) Prec@1 33.750 (37.003) Prec@5 68.125 (67.795) Epoch: [29][2960/11272] Time 0.897 (0.813) Data 0.001 (0.002) Loss 2.4767 (2.5883) Prec@1 40.625 (37.010) Prec@5 68.750 (67.800) Epoch: [29][2970/11272] Time 0.740 (0.813) Data 0.001 (0.002) Loss 2.6442 (2.5884) Prec@1 33.125 (37.007) Prec@5 64.375 (67.796) Epoch: [29][2980/11272] Time 0.754 (0.813) Data 0.001 (0.002) Loss 2.6391 (2.5883) Prec@1 31.875 (37.006) Prec@5 68.125 (67.801) Epoch: [29][2990/11272] Time 0.837 (0.813) Data 0.002 (0.002) Loss 2.4445 (2.5879) Prec@1 42.500 (37.015) Prec@5 72.500 (67.809) Epoch: [29][3000/11272] Time 0.834 (0.813) Data 0.002 (0.002) Loss 2.6572 (2.5878) Prec@1 38.125 (37.016) Prec@5 67.500 (67.810) Epoch: [29][3010/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.8775 (2.5880) Prec@1 31.875 (37.012) Prec@5 58.750 (67.803) Epoch: [29][3020/11272] Time 0.737 (0.813) Data 0.002 (0.002) Loss 2.5032 (2.5879) Prec@1 38.750 (37.015) Prec@5 66.875 (67.801) Epoch: [29][3030/11272] Time 0.848 (0.813) Data 0.002 (0.002) Loss 2.4210 (2.5878) Prec@1 43.750 (37.021) Prec@5 69.375 (67.808) Epoch: [29][3040/11272] Time 0.878 (0.813) Data 0.002 (0.002) Loss 2.7635 (2.5881) Prec@1 33.750 (37.017) Prec@5 65.625 (67.801) Epoch: [29][3050/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.7352 (2.5880) Prec@1 30.625 (37.018) Prec@5 63.750 (67.801) Epoch: [29][3060/11272] Time 0.776 (0.813) Data 0.002 (0.002) Loss 2.7754 (2.5885) Prec@1 32.500 (37.004) Prec@5 60.000 (67.793) Epoch: [29][3070/11272] Time 0.881 (0.813) Data 0.002 (0.002) Loss 2.5141 (2.5883) Prec@1 36.875 (37.003) Prec@5 68.750 (67.795) Epoch: [29][3080/11272] Time 0.884 (0.813) Data 0.002 (0.002) Loss 2.5858 (2.5882) Prec@1 38.125 (37.003) Prec@5 70.000 (67.795) Epoch: [29][3090/11272] Time 0.755 (0.813) Data 0.002 (0.002) Loss 2.5215 (2.5882) Prec@1 41.250 (37.006) Prec@5 70.000 (67.795) Epoch: [29][3100/11272] Time 0.811 (0.813) Data 0.001 (0.002) Loss 2.7811 (2.5883) Prec@1 35.000 (37.006) Prec@5 62.500 (67.793) Epoch: [29][3110/11272] Time 0.855 (0.813) Data 0.002 (0.002) Loss 2.5613 (2.5882) Prec@1 35.625 (37.004) Prec@5 70.625 (67.793) Epoch: [29][3120/11272] Time 0.745 (0.813) Data 0.001 (0.002) Loss 2.4334 (2.5881) Prec@1 41.250 (37.007) Prec@5 69.375 (67.798) Epoch: [29][3130/11272] Time 0.780 (0.813) Data 0.002 (0.002) Loss 2.6897 (2.5881) Prec@1 33.125 (37.007) Prec@5 65.000 (67.795) Epoch: [29][3140/11272] Time 0.857 (0.813) Data 0.002 (0.002) Loss 2.5767 (2.5882) Prec@1 38.125 (37.000) Prec@5 71.875 (67.795) Epoch: [29][3150/11272] Time 0.899 (0.813) Data 0.002 (0.002) Loss 2.4222 (2.5880) Prec@1 38.125 (37.003) Prec@5 70.625 (67.800) Epoch: [29][3160/11272] Time 0.755 (0.813) Data 0.002 (0.002) Loss 2.7071 (2.5882) Prec@1 31.875 (36.998) Prec@5 63.125 (67.796) Epoch: [29][3170/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.4723 (2.5883) Prec@1 40.000 (36.996) Prec@5 65.000 (67.788) Epoch: [29][3180/11272] Time 0.826 (0.813) Data 0.001 (0.002) Loss 2.4802 (2.5881) Prec@1 36.875 (36.996) Prec@5 70.625 (67.794) Epoch: [29][3190/11272] Time 0.884 (0.813) Data 0.002 (0.002) Loss 2.6155 (2.5880) Prec@1 39.375 (36.997) Prec@5 68.750 (67.791) Epoch: [29][3200/11272] Time 0.750 (0.813) Data 0.002 (0.002) Loss 2.6331 (2.5881) Prec@1 31.250 (36.993) Prec@5 62.500 (67.786) Epoch: [29][3210/11272] Time 0.756 (0.813) Data 0.002 (0.002) Loss 2.7665 (2.5883) Prec@1 35.000 (36.986) Prec@5 63.125 (67.782) Epoch: [29][3220/11272] Time 0.863 (0.813) Data 0.002 (0.002) Loss 2.7272 (2.5887) Prec@1 38.750 (36.983) Prec@5 60.625 (67.774) Epoch: [29][3230/11272] Time 0.745 (0.813) Data 0.003 (0.002) Loss 2.4827 (2.5888) Prec@1 42.500 (36.985) Prec@5 68.750 (67.771) Epoch: [29][3240/11272] Time 0.799 (0.813) Data 0.002 (0.002) Loss 2.3898 (2.5889) Prec@1 38.125 (36.987) Prec@5 71.875 (67.771) Epoch: [29][3250/11272] Time 0.805 (0.813) Data 0.001 (0.002) Loss 2.6628 (2.5888) Prec@1 35.000 (36.992) Prec@5 66.875 (67.771) Epoch: [29][3260/11272] Time 0.856 (0.813) Data 0.002 (0.002) Loss 2.9298 (2.5888) Prec@1 25.000 (36.995) Prec@5 59.375 (67.772) Epoch: [29][3270/11272] Time 0.736 (0.812) Data 0.001 (0.002) Loss 2.6543 (2.5885) Prec@1 36.875 (36.998) Prec@5 64.375 (67.771) Epoch: [29][3280/11272] Time 0.775 (0.813) Data 0.002 (0.002) Loss 2.5784 (2.5884) Prec@1 40.000 (37.001) Prec@5 70.000 (67.772) Epoch: [29][3290/11272] Time 0.860 (0.813) Data 0.001 (0.002) Loss 2.2516 (2.5884) Prec@1 41.875 (37.002) Prec@5 76.250 (67.775) Epoch: [29][3300/11272] Time 0.833 (0.813) Data 0.001 (0.002) Loss 2.2806 (2.5883) Prec@1 41.875 (37.005) Prec@5 75.000 (67.775) Epoch: [29][3310/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.5886 (2.5880) Prec@1 39.375 (37.013) Prec@5 70.000 (67.781) Epoch: [29][3320/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.5761 (2.5879) Prec@1 35.625 (37.015) Prec@5 67.500 (67.783) Epoch: [29][3330/11272] Time 0.858 (0.812) Data 0.001 (0.002) Loss 2.6266 (2.5879) Prec@1 30.625 (37.015) Prec@5 68.750 (67.784) Epoch: [29][3340/11272] Time 0.926 (0.812) Data 0.002 (0.002) Loss 2.5712 (2.5881) Prec@1 34.375 (37.010) Prec@5 70.000 (67.784) Epoch: [29][3350/11272] Time 0.770 (0.812) Data 0.002 (0.002) Loss 2.7303 (2.5881) Prec@1 38.125 (37.012) Prec@5 65.625 (67.786) Epoch: [29][3360/11272] Time 0.912 (0.812) Data 0.002 (0.002) Loss 2.3025 (2.5879) Prec@1 45.625 (37.014) Prec@5 68.750 (67.785) Epoch: [29][3370/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.3906 (2.5879) Prec@1 41.875 (37.013) Prec@5 69.375 (67.784) Epoch: [29][3380/11272] Time 0.752 (0.812) Data 0.001 (0.002) Loss 2.9170 (2.5879) Prec@1 33.125 (37.011) Prec@5 60.000 (67.784) Epoch: [29][3390/11272] Time 0.743 (0.812) Data 0.001 (0.002) Loss 2.5752 (2.5880) Prec@1 39.375 (37.012) Prec@5 68.125 (67.783) Epoch: [29][3400/11272] Time 0.848 (0.812) Data 0.001 (0.002) Loss 2.5487 (2.5882) Prec@1 38.125 (37.007) Prec@5 70.625 (67.778) Epoch: [29][3410/11272] Time 0.841 (0.812) Data 0.001 (0.002) Loss 2.5699 (2.5884) Prec@1 37.500 (37.004) Prec@5 71.875 (67.776) Epoch: [29][3420/11272] Time 0.777 (0.812) Data 0.002 (0.002) Loss 2.6045 (2.5885) Prec@1 40.625 (37.004) Prec@5 69.375 (67.776) Epoch: [29][3430/11272] Time 0.746 (0.812) Data 0.002 (0.002) Loss 2.4359 (2.5883) Prec@1 35.000 (37.007) Prec@5 73.125 (67.782) Epoch: [29][3440/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.7540 (2.5885) Prec@1 37.500 (37.003) Prec@5 61.250 (67.778) Epoch: [29][3450/11272] Time 0.881 (0.812) Data 0.002 (0.002) Loss 2.8680 (2.5884) Prec@1 28.750 (37.004) Prec@5 66.875 (67.779) Epoch: [29][3460/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 2.5686 (2.5884) Prec@1 35.625 (37.005) Prec@5 66.875 (67.783) Epoch: [29][3470/11272] Time 0.792 (0.812) Data 0.002 (0.002) Loss 2.4411 (2.5885) Prec@1 43.125 (37.006) Prec@5 71.875 (67.782) Epoch: [29][3480/11272] Time 0.853 (0.813) Data 0.002 (0.002) Loss 2.5483 (2.5886) Prec@1 36.875 (37.004) Prec@5 70.000 (67.783) Epoch: [29][3490/11272] Time 0.782 (0.813) Data 0.004 (0.002) Loss 2.6381 (2.5886) Prec@1 40.000 (37.003) Prec@5 65.625 (67.785) Epoch: [29][3500/11272] Time 0.728 (0.813) Data 0.002 (0.002) Loss 2.7955 (2.5886) Prec@1 35.000 (37.003) Prec@5 58.750 (67.783) Epoch: [29][3510/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.6445 (2.5887) Prec@1 35.625 (37.000) Prec@5 70.000 (67.781) Epoch: [29][3520/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 3.0418 (2.5889) Prec@1 29.375 (36.996) Prec@5 60.625 (67.778) Epoch: [29][3530/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 3.0604 (2.5889) Prec@1 31.875 (37.005) Prec@5 58.750 (67.778) Epoch: [29][3540/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.6542 (2.5889) Prec@1 41.875 (37.006) Prec@5 64.375 (67.775) Epoch: [29][3550/11272] Time 0.897 (0.812) Data 0.002 (0.002) Loss 2.7214 (2.5890) Prec@1 33.125 (37.004) Prec@5 64.375 (67.773) Epoch: [29][3560/11272] Time 0.821 (0.813) Data 0.002 (0.002) Loss 2.6983 (2.5892) Prec@1 34.375 (37.000) Prec@5 63.750 (67.769) Epoch: [29][3570/11272] Time 0.780 (0.812) Data 0.002 (0.002) Loss 2.6544 (2.5893) Prec@1 37.500 (37.001) Prec@5 68.125 (67.767) Epoch: [29][3580/11272] Time 0.741 (0.812) Data 0.002 (0.002) Loss 2.3625 (2.5893) Prec@1 45.625 (36.998) Prec@5 71.250 (67.765) Epoch: [29][3590/11272] Time 0.845 (0.812) Data 0.001 (0.002) Loss 2.6387 (2.5895) Prec@1 35.625 (36.996) Prec@5 65.000 (67.763) Epoch: [29][3600/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.5217 (2.5895) Prec@1 36.875 (36.997) Prec@5 68.125 (67.761) Epoch: [29][3610/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.4768 (2.5896) Prec@1 39.375 (36.999) Prec@5 68.750 (67.761) Epoch: [29][3620/11272] Time 0.852 (0.812) Data 0.001 (0.002) Loss 2.6507 (2.5897) Prec@1 39.375 (36.998) Prec@5 65.625 (67.757) Epoch: [29][3630/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.6610 (2.5897) Prec@1 35.625 (36.999) Prec@5 68.125 (67.762) Epoch: [29][3640/11272] Time 0.761 (0.812) Data 0.001 (0.002) Loss 2.5985 (2.5895) Prec@1 33.750 (37.000) Prec@5 68.125 (67.766) Epoch: [29][3650/11272] Time 0.767 (0.812) Data 0.002 (0.002) Loss 2.4324 (2.5892) Prec@1 36.875 (37.006) Prec@5 71.875 (67.772) Epoch: [29][3660/11272] Time 0.877 (0.812) Data 0.002 (0.002) Loss 2.5941 (2.5894) Prec@1 35.625 (37.002) Prec@5 66.875 (67.764) Epoch: [29][3670/11272] Time 0.828 (0.812) Data 0.002 (0.002) Loss 2.6629 (2.5895) Prec@1 36.250 (37.000) Prec@5 63.750 (67.759) Epoch: [29][3680/11272] Time 0.796 (0.812) Data 0.004 (0.002) Loss 2.5070 (2.5896) Prec@1 43.125 (36.999) Prec@5 66.250 (67.754) Epoch: [29][3690/11272] Time 0.779 (0.812) Data 0.002 (0.002) Loss 2.7338 (2.5895) Prec@1 36.875 (37.001) Prec@5 61.875 (67.755) Epoch: [29][3700/11272] Time 0.869 (0.812) Data 0.002 (0.002) Loss 2.5327 (2.5896) Prec@1 37.500 (36.998) Prec@5 65.625 (67.753) Epoch: [29][3710/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 2.7467 (2.5899) Prec@1 35.000 (36.994) Prec@5 65.000 (67.749) Epoch: [29][3720/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.6125 (2.5901) Prec@1 36.875 (36.989) Prec@5 63.125 (67.743) Epoch: [29][3730/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.6440 (2.5900) Prec@1 31.875 (36.991) Prec@5 67.500 (67.743) Epoch: [29][3740/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 2.4478 (2.5898) Prec@1 40.625 (36.995) Prec@5 68.125 (67.748) Epoch: [29][3750/11272] Time 0.836 (0.812) Data 0.002 (0.002) Loss 2.6154 (2.5899) Prec@1 33.125 (36.999) Prec@5 69.375 (67.749) Epoch: [29][3760/11272] Time 0.785 (0.812) Data 0.002 (0.002) Loss 2.8818 (2.5898) Prec@1 34.375 (37.004) Prec@5 60.625 (67.748) Epoch: [29][3770/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.5657 (2.5896) Prec@1 33.750 (37.002) Prec@5 71.875 (67.755) Epoch: [29][3780/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.5943 (2.5895) Prec@1 38.750 (37.004) Prec@5 69.375 (67.757) Epoch: [29][3790/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.5752 (2.5898) Prec@1 36.250 (37.001) Prec@5 69.375 (67.754) Epoch: [29][3800/11272] Time 0.741 (0.812) Data 0.001 (0.002) Loss 2.6289 (2.5898) Prec@1 37.500 (37.002) Prec@5 67.500 (67.753) Epoch: [29][3810/11272] Time 0.883 (0.812) Data 0.002 (0.002) Loss 2.6467 (2.5898) Prec@1 31.250 (36.998) Prec@5 65.000 (67.754) Epoch: [29][3820/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 2.6245 (2.5897) Prec@1 35.000 (37.002) Prec@5 67.500 (67.757) Epoch: [29][3830/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.6664 (2.5898) Prec@1 31.875 (37.002) Prec@5 66.875 (67.754) Epoch: [29][3840/11272] Time 0.728 (0.812) Data 0.002 (0.002) Loss 2.2995 (2.5899) Prec@1 45.000 (37.006) Prec@5 68.125 (67.751) Epoch: [29][3850/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.5798 (2.5898) Prec@1 35.000 (37.009) Prec@5 63.750 (67.748) Epoch: [29][3860/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.4781 (2.5899) Prec@1 40.000 (37.007) Prec@5 70.625 (67.752) Epoch: [29][3870/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.4441 (2.5899) Prec@1 36.250 (37.004) Prec@5 72.500 (67.750) Epoch: [29][3880/11272] Time 0.747 (0.812) Data 0.001 (0.002) Loss 2.5745 (2.5900) Prec@1 32.500 (36.999) Prec@5 68.750 (67.748) Epoch: [29][3890/11272] Time 0.922 (0.812) Data 0.002 (0.002) Loss 2.8630 (2.5902) Prec@1 38.125 (36.998) Prec@5 60.625 (67.744) Epoch: [29][3900/11272] Time 0.757 (0.812) Data 0.001 (0.002) Loss 2.5734 (2.5901) Prec@1 38.750 (36.998) Prec@5 65.000 (67.747) Epoch: [29][3910/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.3246 (2.5900) Prec@1 45.625 (37.003) Prec@5 73.125 (67.749) Epoch: [29][3920/11272] Time 0.960 (0.812) Data 0.002 (0.002) Loss 2.9581 (2.5901) Prec@1 31.875 (37.001) Prec@5 61.875 (67.748) Epoch: [29][3930/11272] Time 0.899 (0.812) Data 0.002 (0.002) Loss 2.7316 (2.5903) Prec@1 27.500 (36.993) Prec@5 66.250 (67.745) Epoch: [29][3940/11272] Time 0.748 (0.812) Data 0.002 (0.002) Loss 2.6835 (2.5903) Prec@1 35.625 (36.995) Prec@5 69.375 (67.746) Epoch: [29][3950/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.7164 (2.5901) Prec@1 31.250 (36.997) Prec@5 66.250 (67.752) Epoch: [29][3960/11272] Time 0.883 (0.812) Data 0.002 (0.002) Loss 2.4227 (2.5901) Prec@1 39.375 (36.995) Prec@5 69.375 (67.750) Epoch: [29][3970/11272] Time 0.861 (0.812) Data 0.002 (0.002) Loss 2.5826 (2.5902) Prec@1 38.125 (36.988) Prec@5 65.625 (67.748) Epoch: [29][3980/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 3.0046 (2.5905) Prec@1 34.375 (36.986) Prec@5 63.125 (67.744) Epoch: [29][3990/11272] Time 0.787 (0.812) Data 0.002 (0.002) Loss 2.3506 (2.5904) Prec@1 37.500 (36.985) Prec@5 71.875 (67.741) Epoch: [29][4000/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.7132 (2.5905) Prec@1 31.250 (36.981) Prec@5 63.125 (67.738) Epoch: [29][4010/11272] Time 0.913 (0.812) Data 0.002 (0.002) Loss 2.4534 (2.5904) Prec@1 42.500 (36.986) Prec@5 71.250 (67.738) Epoch: [29][4020/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.5799 (2.5905) Prec@1 35.000 (36.987) Prec@5 65.000 (67.734) Epoch: [29][4030/11272] Time 0.883 (0.812) Data 0.001 (0.002) Loss 2.3744 (2.5904) Prec@1 40.000 (36.988) Prec@5 71.250 (67.734) Epoch: [29][4040/11272] Time 0.812 (0.812) Data 0.001 (0.002) Loss 2.9108 (2.5903) Prec@1 36.875 (36.991) Prec@5 62.500 (67.737) Epoch: [29][4050/11272] Time 0.797 (0.812) Data 0.001 (0.002) Loss 2.5573 (2.5904) Prec@1 40.625 (36.988) Prec@5 68.750 (67.734) Epoch: [29][4060/11272] Time 0.768 (0.812) Data 0.002 (0.002) Loss 2.7110 (2.5906) Prec@1 36.250 (36.983) Prec@5 64.375 (67.731) Epoch: [29][4070/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.6415 (2.5907) Prec@1 33.750 (36.983) Prec@5 65.000 (67.728) Epoch: [29][4080/11272] Time 0.898 (0.812) Data 0.002 (0.002) Loss 2.6688 (2.5908) Prec@1 40.000 (36.979) Prec@5 64.375 (67.729) Epoch: [29][4090/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.9489 (2.5909) Prec@1 33.750 (36.980) Prec@5 63.125 (67.728) Epoch: [29][4100/11272] Time 0.741 (0.812) Data 0.001 (0.002) Loss 2.4835 (2.5910) Prec@1 38.125 (36.974) Prec@5 68.750 (67.725) Epoch: [29][4110/11272] Time 0.843 (0.812) Data 0.002 (0.002) Loss 2.6447 (2.5913) Prec@1 31.875 (36.969) Prec@5 64.375 (67.717) Epoch: [29][4120/11272] Time 0.941 (0.812) Data 0.002 (0.002) Loss 2.7457 (2.5913) Prec@1 32.500 (36.968) Prec@5 68.750 (67.719) Epoch: [29][4130/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 2.3966 (2.5914) Prec@1 42.500 (36.964) Prec@5 72.500 (67.717) Epoch: [29][4140/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.6121 (2.5914) Prec@1 35.000 (36.963) Prec@5 68.750 (67.717) Epoch: [29][4150/11272] Time 0.849 (0.812) Data 0.001 (0.002) Loss 2.5910 (2.5913) Prec@1 36.250 (36.966) Prec@5 68.125 (67.720) Epoch: [29][4160/11272] Time 0.780 (0.812) Data 0.003 (0.002) Loss 2.8471 (2.5915) Prec@1 27.500 (36.962) Prec@5 63.750 (67.716) Epoch: [29][4170/11272] Time 0.770 (0.812) Data 0.002 (0.002) Loss 2.7739 (2.5916) Prec@1 30.625 (36.958) Prec@5 63.750 (67.714) Epoch: [29][4180/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 2.4105 (2.5915) Prec@1 39.375 (36.958) Prec@5 70.000 (67.719) Epoch: [29][4190/11272] Time 0.873 (0.812) Data 0.002 (0.002) Loss 2.7264 (2.5917) Prec@1 33.750 (36.951) Prec@5 65.000 (67.713) Epoch: [29][4200/11272] Time 0.775 (0.813) Data 0.002 (0.002) Loss 2.5497 (2.5917) Prec@1 38.125 (36.948) Prec@5 68.125 (67.712) Epoch: [29][4210/11272] Time 0.756 (0.813) Data 0.002 (0.002) Loss 3.0426 (2.5915) Prec@1 27.500 (36.953) Prec@5 62.500 (67.716) Epoch: [29][4220/11272] Time 0.879 (0.813) Data 0.002 (0.002) Loss 2.5523 (2.5914) Prec@1 35.000 (36.955) Prec@5 66.250 (67.719) Epoch: [29][4230/11272] Time 0.858 (0.813) Data 0.001 (0.002) Loss 2.3596 (2.5914) Prec@1 36.875 (36.954) Prec@5 68.750 (67.717) Epoch: [29][4240/11272] Time 0.728 (0.813) Data 0.001 (0.002) Loss 2.7375 (2.5915) Prec@1 33.125 (36.954) Prec@5 65.000 (67.714) Epoch: [29][4250/11272] Time 0.768 (0.813) Data 0.002 (0.002) Loss 2.7382 (2.5915) Prec@1 38.125 (36.956) Prec@5 62.500 (67.714) Epoch: [29][4260/11272] Time 0.901 (0.813) Data 0.002 (0.002) Loss 2.7015 (2.5916) Prec@1 33.125 (36.959) Prec@5 66.875 (67.714) Epoch: [29][4270/11272] Time 0.842 (0.813) Data 0.002 (0.002) Loss 2.3889 (2.5916) Prec@1 40.000 (36.961) Prec@5 68.750 (67.712) Epoch: [29][4280/11272] Time 0.754 (0.813) Data 0.002 (0.002) Loss 2.8265 (2.5917) Prec@1 32.500 (36.954) Prec@5 61.250 (67.710) Epoch: [29][4290/11272] Time 0.854 (0.813) Data 0.002 (0.002) Loss 2.4196 (2.5917) Prec@1 36.250 (36.951) Prec@5 71.875 (67.713) Epoch: [29][4300/11272] Time 0.937 (0.813) Data 0.002 (0.002) Loss 2.3080 (2.5916) Prec@1 40.000 (36.954) Prec@5 74.375 (67.715) Epoch: [29][4310/11272] Time 0.737 (0.813) Data 0.001 (0.002) Loss 2.7632 (2.5917) Prec@1 31.875 (36.951) Prec@5 68.125 (67.716) Epoch: [29][4320/11272] Time 0.749 (0.813) Data 0.002 (0.002) Loss 2.5390 (2.5920) Prec@1 33.750 (36.949) Prec@5 68.125 (67.710) Epoch: [29][4330/11272] Time 0.831 (0.813) Data 0.002 (0.002) Loss 2.6375 (2.5919) Prec@1 38.125 (36.953) Prec@5 68.750 (67.712) Epoch: [29][4340/11272] Time 0.877 (0.813) Data 0.002 (0.002) Loss 2.4874 (2.5919) Prec@1 38.125 (36.950) Prec@5 69.375 (67.712) Epoch: [29][4350/11272] Time 0.732 (0.812) Data 0.002 (0.002) Loss 2.4292 (2.5919) Prec@1 42.500 (36.947) Prec@5 71.250 (67.713) Epoch: [29][4360/11272] Time 0.769 (0.812) Data 0.002 (0.002) Loss 2.8062 (2.5917) Prec@1 33.750 (36.954) Prec@5 60.625 (67.718) Epoch: [29][4370/11272] Time 0.857 (0.813) Data 0.002 (0.002) Loss 2.4714 (2.5916) Prec@1 43.125 (36.957) Prec@5 71.875 (67.720) Epoch: [29][4380/11272] Time 0.855 (0.813) Data 0.002 (0.002) Loss 2.4135 (2.5915) Prec@1 42.500 (36.958) Prec@5 71.875 (67.726) Epoch: [29][4390/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.9243 (2.5916) Prec@1 26.875 (36.957) Prec@5 64.375 (67.722) Epoch: [29][4400/11272] Time 0.745 (0.813) Data 0.002 (0.002) Loss 2.5704 (2.5917) Prec@1 41.875 (36.956) Prec@5 61.250 (67.722) Epoch: [29][4410/11272] Time 0.882 (0.813) Data 0.002 (0.002) Loss 2.4540 (2.5917) Prec@1 38.125 (36.956) Prec@5 66.250 (67.720) Epoch: [29][4420/11272] Time 0.731 (0.813) Data 0.003 (0.002) Loss 2.6643 (2.5918) Prec@1 33.750 (36.955) Prec@5 60.625 (67.718) Epoch: [29][4430/11272] Time 0.767 (0.813) Data 0.002 (0.002) Loss 2.4870 (2.5919) Prec@1 41.875 (36.956) Prec@5 66.875 (67.718) Epoch: [29][4440/11272] Time 0.853 (0.812) Data 0.001 (0.002) Loss 2.5048 (2.5919) Prec@1 39.375 (36.955) Prec@5 66.250 (67.717) Epoch: [29][4450/11272] Time 0.875 (0.812) Data 0.001 (0.002) Loss 2.6160 (2.5919) Prec@1 30.625 (36.955) Prec@5 67.500 (67.717) Epoch: [29][4460/11272] Time 0.820 (0.813) Data 0.002 (0.002) Loss 2.7103 (2.5919) Prec@1 38.750 (36.959) Prec@5 68.125 (67.721) Epoch: [29][4470/11272] Time 0.741 (0.812) Data 0.002 (0.002) Loss 2.3572 (2.5917) Prec@1 38.750 (36.961) Prec@5 75.000 (67.727) Epoch: [29][4480/11272] Time 0.839 (0.812) Data 0.001 (0.002) Loss 2.5312 (2.5915) Prec@1 38.750 (36.966) Prec@5 65.625 (67.731) Epoch: [29][4490/11272] Time 0.937 (0.812) Data 0.002 (0.002) Loss 2.7770 (2.5916) Prec@1 32.500 (36.962) Prec@5 65.000 (67.729) Epoch: [29][4500/11272] Time 0.781 (0.813) Data 0.002 (0.002) Loss 2.5792 (2.5915) Prec@1 35.625 (36.965) Prec@5 65.000 (67.732) Epoch: [29][4510/11272] Time 0.736 (0.813) Data 0.002 (0.002) Loss 2.8409 (2.5915) Prec@1 34.375 (36.966) Prec@5 63.125 (67.731) Epoch: [29][4520/11272] Time 0.837 (0.812) Data 0.002 (0.002) Loss 2.3868 (2.5916) Prec@1 43.125 (36.967) Prec@5 71.250 (67.727) Epoch: [29][4530/11272] Time 0.833 (0.812) Data 0.001 (0.002) Loss 2.7562 (2.5916) Prec@1 31.250 (36.966) Prec@5 68.125 (67.727) Epoch: [29][4540/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.9532 (2.5916) Prec@1 28.750 (36.966) Prec@5 59.375 (67.729) Epoch: [29][4550/11272] Time 0.855 (0.813) Data 0.002 (0.002) Loss 2.5427 (2.5915) Prec@1 37.500 (36.967) Prec@5 69.375 (67.731) Epoch: [29][4560/11272] Time 0.839 (0.812) Data 0.002 (0.002) Loss 2.7450 (2.5916) Prec@1 36.875 (36.968) Prec@5 65.625 (67.730) Epoch: [29][4570/11272] Time 0.775 (0.813) Data 0.001 (0.002) Loss 2.8635 (2.5916) Prec@1 33.750 (36.964) Prec@5 61.250 (67.728) Epoch: [29][4580/11272] Time 0.754 (0.813) Data 0.002 (0.002) Loss 2.4260 (2.5916) Prec@1 37.500 (36.965) Prec@5 70.625 (67.728) Epoch: [29][4590/11272] Time 0.876 (0.813) Data 0.002 (0.002) Loss 2.6410 (2.5917) Prec@1 41.250 (36.963) Prec@5 63.750 (67.725) Epoch: [29][4600/11272] Time 0.829 (0.813) Data 0.001 (0.002) Loss 2.6138 (2.5917) Prec@1 36.250 (36.963) Prec@5 65.000 (67.722) Epoch: [29][4610/11272] Time 0.739 (0.813) Data 0.002 (0.002) Loss 2.6078 (2.5916) Prec@1 37.500 (36.964) Prec@5 69.375 (67.725) Epoch: [29][4620/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.7125 (2.5917) Prec@1 34.375 (36.965) Prec@5 68.750 (67.726) Epoch: [29][4630/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.5919 (2.5917) Prec@1 38.125 (36.964) Prec@5 67.500 (67.727) Epoch: [29][4640/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.6571 (2.5916) Prec@1 35.625 (36.967) Prec@5 63.125 (67.729) Epoch: [29][4650/11272] Time 0.735 (0.812) Data 0.002 (0.002) Loss 2.4114 (2.5916) Prec@1 40.625 (36.968) Prec@5 72.500 (67.728) Epoch: [29][4660/11272] Time 0.770 (0.812) Data 0.002 (0.002) Loss 2.8506 (2.5917) Prec@1 28.125 (36.968) Prec@5 64.375 (67.724) Epoch: [29][4670/11272] Time 0.867 (0.812) Data 0.002 (0.002) Loss 2.5381 (2.5918) Prec@1 39.375 (36.969) Prec@5 69.375 (67.724) Epoch: [29][4680/11272] Time 0.902 (0.812) Data 0.002 (0.002) Loss 2.5066 (2.5919) Prec@1 38.125 (36.966) Prec@5 70.000 (67.721) Epoch: [29][4690/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 2.4723 (2.5918) Prec@1 42.500 (36.970) Prec@5 69.375 (67.725) Epoch: [29][4700/11272] Time 0.826 (0.812) Data 0.002 (0.002) Loss 2.6051 (2.5919) Prec@1 36.875 (36.972) Prec@5 65.000 (67.724) Epoch: [29][4710/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 2.6030 (2.5920) Prec@1 33.125 (36.964) Prec@5 65.625 (67.720) Epoch: [29][4720/11272] Time 0.789 (0.812) Data 0.001 (0.002) Loss 2.8271 (2.5920) Prec@1 33.125 (36.964) Prec@5 60.000 (67.722) Epoch: [29][4730/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.6572 (2.5920) Prec@1 30.000 (36.964) Prec@5 66.250 (67.723) Epoch: [29][4740/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.5787 (2.5920) Prec@1 40.000 (36.960) Prec@5 67.500 (67.721) Epoch: [29][4750/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.6338 (2.5921) Prec@1 35.625 (36.958) Prec@5 64.375 (67.718) Epoch: [29][4760/11272] Time 0.743 (0.812) Data 0.002 (0.002) Loss 2.5087 (2.5921) Prec@1 42.500 (36.958) Prec@5 68.750 (67.719) Epoch: [29][4770/11272] Time 0.751 (0.812) Data 0.001 (0.002) Loss 2.5560 (2.5920) Prec@1 40.000 (36.961) Prec@5 66.250 (67.722) Epoch: [29][4780/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 2.5934 (2.5921) Prec@1 33.125 (36.959) Prec@5 68.125 (67.721) Epoch: [29][4790/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.4241 (2.5920) Prec@1 39.375 (36.960) Prec@5 73.125 (67.722) Epoch: [29][4800/11272] Time 0.754 (0.812) Data 0.001 (0.002) Loss 2.4413 (2.5919) Prec@1 43.125 (36.964) Prec@5 68.125 (67.722) Epoch: [29][4810/11272] Time 0.767 (0.813) Data 0.002 (0.002) Loss 2.4892 (2.5920) Prec@1 41.875 (36.965) Prec@5 75.000 (67.720) Epoch: [29][4820/11272] Time 0.890 (0.812) Data 0.002 (0.002) Loss 2.4142 (2.5919) Prec@1 41.875 (36.965) Prec@5 71.250 (67.720) Epoch: [29][4830/11272] Time 0.759 (0.812) Data 0.001 (0.002) Loss 2.6578 (2.5919) Prec@1 35.625 (36.964) Prec@5 66.250 (67.719) Epoch: [29][4840/11272] Time 0.763 (0.812) Data 0.001 (0.002) Loss 2.7704 (2.5919) Prec@1 28.125 (36.962) Prec@5 63.750 (67.720) Epoch: [29][4850/11272] Time 0.836 (0.813) Data 0.002 (0.002) Loss 2.4448 (2.5919) Prec@1 35.000 (36.961) Prec@5 71.875 (67.721) Epoch: [29][4860/11272] Time 0.842 (0.813) Data 0.002 (0.002) Loss 2.5907 (2.5919) Prec@1 38.750 (36.960) Prec@5 66.250 (67.723) Epoch: [29][4870/11272] Time 0.760 (0.813) Data 0.002 (0.002) Loss 2.4774 (2.5919) Prec@1 40.000 (36.957) Prec@5 68.750 (67.723) Epoch: [29][4880/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.7297 (2.5920) Prec@1 38.750 (36.955) Prec@5 67.500 (67.722) Epoch: [29][4890/11272] Time 0.861 (0.813) Data 0.002 (0.002) Loss 2.4380 (2.5920) Prec@1 38.750 (36.955) Prec@5 73.750 (67.724) Epoch: [29][4900/11272] Time 0.850 (0.813) Data 0.002 (0.002) Loss 2.6920 (2.5922) Prec@1 36.250 (36.950) Prec@5 68.750 (67.722) Epoch: [29][4910/11272] Time 0.739 (0.813) Data 0.002 (0.002) Loss 2.3938 (2.5921) Prec@1 41.875 (36.954) Prec@5 71.250 (67.722) Epoch: [29][4920/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.7320 (2.5921) Prec@1 29.375 (36.951) Prec@5 65.000 (67.723) Epoch: [29][4930/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.6928 (2.5922) Prec@1 27.500 (36.948) Prec@5 61.250 (67.720) Epoch: [29][4940/11272] Time 0.868 (0.812) Data 0.002 (0.002) Loss 2.1849 (2.5920) Prec@1 45.625 (36.951) Prec@5 72.500 (67.723) Epoch: [29][4950/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.5584 (2.5921) Prec@1 38.125 (36.950) Prec@5 67.500 (67.721) Epoch: [29][4960/11272] Time 0.899 (0.813) Data 0.001 (0.002) Loss 2.6999 (2.5920) Prec@1 34.375 (36.950) Prec@5 64.375 (67.721) Epoch: [29][4970/11272] Time 0.869 (0.813) Data 0.002 (0.002) Loss 2.5075 (2.5921) Prec@1 36.250 (36.947) Prec@5 67.500 (67.719) Epoch: [29][4980/11272] Time 0.742 (0.813) Data 0.001 (0.002) Loss 2.6868 (2.5921) Prec@1 34.375 (36.949) Prec@5 62.500 (67.718) Epoch: [29][4990/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 2.4959 (2.5919) Prec@1 39.375 (36.950) Prec@5 66.250 (67.721) Epoch: [29][5000/11272] Time 0.889 (0.813) Data 0.002 (0.002) Loss 2.6643 (2.5919) Prec@1 35.625 (36.950) Prec@5 69.375 (67.723) Epoch: [29][5010/11272] Time 0.911 (0.813) Data 0.002 (0.002) Loss 2.5984 (2.5920) Prec@1 32.500 (36.950) Prec@5 69.375 (67.721) Epoch: [29][5020/11272] Time 0.767 (0.813) Data 0.002 (0.002) Loss 2.5767 (2.5922) Prec@1 40.625 (36.949) Prec@5 66.875 (67.718) Epoch: [29][5030/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.9806 (2.5922) Prec@1 28.750 (36.947) Prec@5 62.500 (67.718) Epoch: [29][5040/11272] Time 0.876 (0.813) Data 0.002 (0.002) Loss 2.3620 (2.5921) Prec@1 40.000 (36.949) Prec@5 75.000 (67.720) Epoch: [29][5050/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.8018 (2.5920) Prec@1 31.250 (36.951) Prec@5 61.250 (67.722) Epoch: [29][5060/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.6918 (2.5921) Prec@1 30.625 (36.951) Prec@5 65.625 (67.721) Epoch: [29][5070/11272] Time 0.804 (0.813) Data 0.002 (0.002) Loss 2.4304 (2.5920) Prec@1 42.500 (36.952) Prec@5 71.875 (67.722) Epoch: [29][5080/11272] Time 0.908 (0.813) Data 0.002 (0.002) Loss 2.7380 (2.5923) Prec@1 33.125 (36.947) Prec@5 63.750 (67.717) Epoch: [29][5090/11272] Time 0.747 (0.813) Data 0.003 (0.002) Loss 2.4442 (2.5922) Prec@1 33.125 (36.949) Prec@5 71.875 (67.722) Epoch: [29][5100/11272] Time 0.760 (0.813) Data 0.002 (0.002) Loss 2.6888 (2.5923) Prec@1 38.125 (36.948) Prec@5 67.500 (67.722) Epoch: [29][5110/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.7346 (2.5923) Prec@1 35.000 (36.948) Prec@5 66.250 (67.723) Epoch: [29][5120/11272] Time 0.854 (0.813) Data 0.002 (0.002) Loss 2.8968 (2.5922) Prec@1 33.125 (36.950) Prec@5 60.625 (67.726) Epoch: [29][5130/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.6577 (2.5923) Prec@1 37.500 (36.948) Prec@5 70.625 (67.729) Epoch: [29][5140/11272] Time 0.754 (0.813) Data 0.002 (0.002) Loss 2.6818 (2.5923) Prec@1 37.500 (36.949) Prec@5 64.375 (67.728) Epoch: [29][5150/11272] Time 0.853 (0.813) Data 0.002 (0.002) Loss 2.8090 (2.5924) Prec@1 29.375 (36.945) Prec@5 62.500 (67.726) Epoch: [29][5160/11272] Time 0.859 (0.813) Data 0.002 (0.002) Loss 2.4926 (2.5925) Prec@1 37.500 (36.944) Prec@5 67.500 (67.724) Epoch: [29][5170/11272] Time 0.741 (0.813) Data 0.002 (0.002) Loss 2.7225 (2.5926) Prec@1 35.625 (36.944) Prec@5 65.000 (67.722) Epoch: [29][5180/11272] Time 0.772 (0.813) Data 0.002 (0.002) Loss 2.5229 (2.5926) Prec@1 41.250 (36.943) Prec@5 65.000 (67.722) Epoch: [29][5190/11272] Time 0.840 (0.813) Data 0.002 (0.002) Loss 2.6085 (2.5925) Prec@1 33.750 (36.944) Prec@5 75.625 (67.726) Epoch: [29][5200/11272] Time 0.836 (0.813) Data 0.001 (0.002) Loss 2.5837 (2.5926) Prec@1 38.125 (36.943) Prec@5 69.375 (67.727) Epoch: [29][5210/11272] Time 0.775 (0.813) Data 0.002 (0.002) Loss 2.7045 (2.5925) Prec@1 35.625 (36.943) Prec@5 68.750 (67.727) Epoch: [29][5220/11272] Time 0.833 (0.813) Data 0.002 (0.002) Loss 2.6360 (2.5926) Prec@1 32.500 (36.944) Prec@5 71.250 (67.727) Epoch: [29][5230/11272] Time 0.850 (0.813) Data 0.002 (0.002) Loss 2.7636 (2.5926) Prec@1 31.875 (36.943) Prec@5 64.375 (67.729) Epoch: [29][5240/11272] Time 0.753 (0.813) Data 0.001 (0.002) Loss 2.6840 (2.5925) Prec@1 33.750 (36.945) Prec@5 66.250 (67.733) Epoch: [29][5250/11272] Time 0.784 (0.813) Data 0.001 (0.002) Loss 2.5784 (2.5925) Prec@1 36.875 (36.948) Prec@5 66.250 (67.735) Epoch: [29][5260/11272] Time 0.847 (0.813) Data 0.002 (0.002) Loss 2.4890 (2.5924) Prec@1 36.875 (36.946) Prec@5 70.625 (67.736) Epoch: [29][5270/11272] Time 0.873 (0.813) Data 0.002 (0.002) Loss 2.6778 (2.5923) Prec@1 35.000 (36.949) Prec@5 66.875 (67.738) Epoch: [29][5280/11272] Time 0.742 (0.813) Data 0.001 (0.002) Loss 2.3541 (2.5923) Prec@1 41.875 (36.950) Prec@5 73.125 (67.739) Epoch: [29][5290/11272] Time 0.745 (0.813) Data 0.002 (0.002) Loss 2.4300 (2.5923) Prec@1 42.500 (36.953) Prec@5 68.750 (67.741) Epoch: [29][5300/11272] Time 0.816 (0.813) Data 0.001 (0.002) Loss 2.3087 (2.5923) Prec@1 41.875 (36.954) Prec@5 70.625 (67.739) Epoch: [29][5310/11272] Time 0.842 (0.813) Data 0.002 (0.002) Loss 2.6613 (2.5922) Prec@1 35.000 (36.955) Prec@5 66.250 (67.739) Epoch: [29][5320/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.4969 (2.5922) Prec@1 36.250 (36.957) Prec@5 66.250 (67.741) Epoch: [29][5330/11272] Time 0.748 (0.812) Data 0.002 (0.002) Loss 2.6498 (2.5921) Prec@1 38.750 (36.956) Prec@5 66.250 (67.744) Epoch: [29][5340/11272] Time 0.835 (0.813) Data 0.002 (0.002) Loss 2.8601 (2.5922) Prec@1 32.500 (36.956) Prec@5 63.750 (67.742) Epoch: [29][5350/11272] Time 0.731 (0.812) Data 0.003 (0.002) Loss 2.5351 (2.5920) Prec@1 39.375 (36.959) Prec@5 70.625 (67.745) Epoch: [29][5360/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.6519 (2.5921) Prec@1 32.500 (36.958) Prec@5 66.875 (67.744) Epoch: [29][5370/11272] Time 0.851 (0.812) Data 0.002 (0.002) Loss 2.5667 (2.5923) Prec@1 37.500 (36.959) Prec@5 68.750 (67.740) Epoch: [29][5380/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.4615 (2.5922) Prec@1 38.750 (36.957) Prec@5 73.750 (67.739) Epoch: [29][5390/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 2.6134 (2.5922) Prec@1 35.000 (36.958) Prec@5 70.000 (67.738) Epoch: [29][5400/11272] Time 0.746 (0.812) Data 0.002 (0.002) Loss 2.6250 (2.5922) Prec@1 40.000 (36.958) Prec@5 66.250 (67.737) Epoch: [29][5410/11272] Time 0.871 (0.812) Data 0.001 (0.002) Loss 2.5112 (2.5923) Prec@1 36.250 (36.956) Prec@5 63.125 (67.733) Epoch: [29][5420/11272] Time 0.918 (0.812) Data 0.002 (0.002) Loss 2.6528 (2.5924) Prec@1 30.000 (36.952) Prec@5 70.625 (67.732) Epoch: [29][5430/11272] Time 0.785 (0.812) Data 0.002 (0.002) Loss 2.8879 (2.5926) Prec@1 30.625 (36.950) Prec@5 63.125 (67.730) Epoch: [29][5440/11272] Time 0.784 (0.813) Data 0.002 (0.002) Loss 2.8616 (2.5926) Prec@1 31.250 (36.948) Prec@5 63.750 (67.727) Epoch: [29][5450/11272] Time 0.845 (0.813) Data 0.002 (0.002) Loss 2.7372 (2.5928) Prec@1 30.625 (36.946) Prec@5 61.875 (67.725) Epoch: [29][5460/11272] Time 0.957 (0.813) Data 0.002 (0.002) Loss 2.5989 (2.5927) Prec@1 35.625 (36.950) Prec@5 66.875 (67.725) Epoch: [29][5470/11272] Time 0.742 (0.813) Data 0.001 (0.002) Loss 2.6449 (2.5928) Prec@1 36.250 (36.948) Prec@5 68.125 (67.726) Epoch: [29][5480/11272] Time 0.866 (0.813) Data 0.002 (0.002) Loss 2.4605 (2.5926) Prec@1 36.250 (36.952) Prec@5 69.375 (67.730) Epoch: [29][5490/11272] Time 0.870 (0.813) Data 0.001 (0.002) Loss 3.0246 (2.5928) Prec@1 33.125 (36.949) Prec@5 60.625 (67.730) Epoch: [29][5500/11272] Time 0.725 (0.813) Data 0.001 (0.002) Loss 2.5755 (2.5928) Prec@1 39.375 (36.947) Prec@5 69.375 (67.731) Epoch: [29][5510/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.7678 (2.5927) Prec@1 35.625 (36.948) Prec@5 62.500 (67.734) Epoch: [29][5520/11272] Time 0.869 (0.813) Data 0.002 (0.002) Loss 2.7738 (2.5927) Prec@1 36.250 (36.951) Prec@5 60.000 (67.734) Epoch: [29][5530/11272] Time 0.841 (0.813) Data 0.001 (0.002) Loss 2.6836 (2.5926) Prec@1 38.125 (36.953) Prec@5 68.125 (67.733) Epoch: [29][5540/11272] Time 0.765 (0.813) Data 0.001 (0.002) Loss 2.5718 (2.5927) Prec@1 41.250 (36.953) Prec@5 69.375 (67.731) Epoch: [29][5550/11272] Time 0.747 (0.813) Data 0.002 (0.002) Loss 2.6776 (2.5925) Prec@1 37.500 (36.955) Prec@5 67.500 (67.733) Epoch: [29][5560/11272] Time 0.884 (0.813) Data 0.002 (0.002) Loss 2.8964 (2.5925) Prec@1 30.625 (36.955) Prec@5 65.000 (67.733) Epoch: [29][5570/11272] Time 0.866 (0.813) Data 0.002 (0.002) Loss 2.4563 (2.5923) Prec@1 42.500 (36.959) Prec@5 70.625 (67.737) Epoch: [29][5580/11272] Time 0.753 (0.813) Data 0.002 (0.002) Loss 2.2469 (2.5922) Prec@1 45.625 (36.961) Prec@5 75.625 (67.739) Epoch: [29][5590/11272] Time 0.766 (0.813) Data 0.002 (0.002) Loss 2.6464 (2.5923) Prec@1 36.250 (36.959) Prec@5 69.375 (67.737) Epoch: [29][5600/11272] Time 0.884 (0.813) Data 0.002 (0.002) Loss 2.4756 (2.5923) Prec@1 37.500 (36.959) Prec@5 70.625 (67.735) Epoch: [29][5610/11272] Time 0.859 (0.813) Data 0.002 (0.002) Loss 2.6018 (2.5924) Prec@1 36.875 (36.958) Prec@5 69.375 (67.735) Epoch: [29][5620/11272] Time 0.789 (0.813) Data 0.004 (0.002) Loss 2.4077 (2.5924) Prec@1 41.875 (36.959) Prec@5 71.250 (67.735) Epoch: [29][5630/11272] Time 0.843 (0.813) Data 0.002 (0.002) Loss 2.5709 (2.5925) Prec@1 33.125 (36.957) Prec@5 69.375 (67.732) Epoch: [29][5640/11272] Time 0.881 (0.813) Data 0.002 (0.002) Loss 2.8358 (2.5925) Prec@1 32.500 (36.954) Prec@5 63.750 (67.729) Epoch: [29][5650/11272] Time 0.740 (0.813) Data 0.002 (0.002) Loss 2.8821 (2.5927) Prec@1 33.125 (36.952) Prec@5 61.875 (67.725) Epoch: [29][5660/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.8022 (2.5927) Prec@1 31.875 (36.952) Prec@5 65.000 (67.724) Epoch: [29][5670/11272] Time 0.881 (0.813) Data 0.002 (0.002) Loss 2.2163 (2.5927) Prec@1 43.750 (36.952) Prec@5 75.625 (67.725) Epoch: [29][5680/11272] Time 0.865 (0.813) Data 0.002 (0.002) Loss 2.3443 (2.5925) Prec@1 38.750 (36.953) Prec@5 75.625 (67.729) Epoch: [29][5690/11272] Time 0.745 (0.813) Data 0.002 (0.002) Loss 2.2860 (2.5926) Prec@1 43.750 (36.954) Prec@5 73.125 (67.727) Epoch: [29][5700/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.5833 (2.5927) Prec@1 38.750 (36.953) Prec@5 65.000 (67.725) Epoch: [29][5710/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.7266 (2.5928) Prec@1 35.000 (36.951) Prec@5 65.625 (67.722) Epoch: [29][5720/11272] Time 0.841 (0.813) Data 0.002 (0.002) Loss 2.4650 (2.5928) Prec@1 41.875 (36.953) Prec@5 71.875 (67.723) Epoch: [29][5730/11272] Time 0.726 (0.813) Data 0.002 (0.002) Loss 2.6175 (2.5929) Prec@1 36.250 (36.952) Prec@5 65.000 (67.720) Epoch: [29][5740/11272] Time 0.748 (0.813) Data 0.002 (0.002) Loss 2.4689 (2.5929) Prec@1 37.500 (36.948) Prec@5 71.250 (67.719) Epoch: [29][5750/11272] Time 0.901 (0.813) Data 0.002 (0.002) Loss 2.6835 (2.5930) Prec@1 39.375 (36.947) Prec@5 66.250 (67.718) Epoch: [29][5760/11272] Time 0.753 (0.813) Data 0.001 (0.002) Loss 2.6614 (2.5931) Prec@1 35.625 (36.949) Prec@5 62.500 (67.716) Epoch: [29][5770/11272] Time 0.749 (0.813) Data 0.002 (0.002) Loss 2.4780 (2.5931) Prec@1 40.625 (36.946) Prec@5 67.500 (67.717) Epoch: [29][5780/11272] Time 0.841 (0.813) Data 0.002 (0.002) Loss 2.6542 (2.5931) Prec@1 34.375 (36.944) Prec@5 65.625 (67.718) Epoch: [29][5790/11272] Time 0.855 (0.813) Data 0.002 (0.002) Loss 2.4604 (2.5931) Prec@1 38.750 (36.945) Prec@5 68.125 (67.719) Epoch: [29][5800/11272] Time 0.752 (0.813) Data 0.002 (0.002) Loss 2.4920 (2.5932) Prec@1 35.625 (36.941) Prec@5 73.125 (67.718) Epoch: [29][5810/11272] Time 0.781 (0.813) Data 0.002 (0.002) Loss 2.7060 (2.5931) Prec@1 36.250 (36.944) Prec@5 68.125 (67.720) Epoch: [29][5820/11272] Time 0.883 (0.813) Data 0.002 (0.002) Loss 2.6841 (2.5931) Prec@1 40.000 (36.946) Prec@5 66.875 (67.720) Epoch: [29][5830/11272] Time 0.879 (0.813) Data 0.002 (0.002) Loss 3.0060 (2.5932) Prec@1 33.125 (36.944) Prec@5 60.000 (67.717) Epoch: [29][5840/11272] Time 0.753 (0.813) Data 0.002 (0.002) Loss 2.8982 (2.5933) Prec@1 33.750 (36.940) Prec@5 63.125 (67.716) Epoch: [29][5850/11272] Time 0.767 (0.813) Data 0.002 (0.002) Loss 2.6145 (2.5933) Prec@1 34.375 (36.939) Prec@5 67.500 (67.716) Epoch: [29][5860/11272] Time 0.848 (0.813) Data 0.002 (0.002) Loss 2.6001 (2.5934) Prec@1 36.875 (36.938) Prec@5 64.375 (67.714) Epoch: [29][5870/11272] Time 0.862 (0.813) Data 0.002 (0.002) Loss 2.6748 (2.5936) Prec@1 31.875 (36.934) Prec@5 70.000 (67.713) Epoch: [29][5880/11272] Time 0.762 (0.813) Data 0.002 (0.002) Loss 2.7989 (2.5937) Prec@1 30.625 (36.932) Prec@5 65.625 (67.711) Epoch: [29][5890/11272] Time 0.863 (0.813) Data 0.002 (0.002) Loss 2.5268 (2.5937) Prec@1 40.625 (36.932) Prec@5 65.625 (67.710) Epoch: [29][5900/11272] Time 0.968 (0.813) Data 0.002 (0.002) Loss 2.4672 (2.5938) Prec@1 40.000 (36.928) Prec@5 71.250 (67.711) Epoch: [29][5910/11272] Time 0.785 (0.813) Data 0.003 (0.002) Loss 2.4971 (2.5938) Prec@1 40.000 (36.929) Prec@5 74.375 (67.713) Epoch: [29][5920/11272] Time 0.779 (0.813) Data 0.002 (0.002) Loss 2.4701 (2.5938) Prec@1 42.500 (36.929) Prec@5 66.250 (67.711) Epoch: [29][5930/11272] Time 0.904 (0.813) Data 0.002 (0.002) Loss 2.6683 (2.5939) Prec@1 34.375 (36.927) Prec@5 64.375 (67.711) Epoch: [29][5940/11272] Time 0.903 (0.813) Data 0.002 (0.002) Loss 2.6889 (2.5939) Prec@1 36.875 (36.928) Prec@5 64.375 (67.711) Epoch: [29][5950/11272] Time 0.723 (0.813) Data 0.002 (0.002) Loss 2.6166 (2.5940) Prec@1 39.375 (36.926) Prec@5 67.500 (67.709) Epoch: [29][5960/11272] Time 0.769 (0.813) Data 0.003 (0.002) Loss 2.5778 (2.5939) Prec@1 35.000 (36.929) Prec@5 66.250 (67.711) Epoch: [29][5970/11272] Time 0.845 (0.813) Data 0.001 (0.002) Loss 2.6252 (2.5940) Prec@1 35.625 (36.928) Prec@5 66.875 (67.708) Epoch: [29][5980/11272] Time 0.847 (0.813) Data 0.002 (0.002) Loss 3.0351 (2.5940) Prec@1 32.500 (36.927) Prec@5 58.750 (67.706) Epoch: [29][5990/11272] Time 0.733 (0.813) Data 0.002 (0.002) Loss 2.5631 (2.5941) Prec@1 41.875 (36.927) Prec@5 68.125 (67.707) Epoch: [29][6000/11272] Time 0.767 (0.813) Data 0.002 (0.002) Loss 2.5115 (2.5941) Prec@1 36.875 (36.925) Prec@5 71.875 (67.706) Epoch: [29][6010/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.6908 (2.5940) Prec@1 37.500 (36.925) Prec@5 65.625 (67.707) Epoch: [29][6020/11272] Time 0.735 (0.813) Data 0.003 (0.002) Loss 2.7455 (2.5941) Prec@1 31.875 (36.923) Prec@5 65.000 (67.706) Epoch: [29][6030/11272] Time 0.755 (0.813) Data 0.001 (0.002) Loss 2.7968 (2.5942) Prec@1 34.375 (36.920) Prec@5 64.375 (67.706) Epoch: [29][6040/11272] Time 0.820 (0.813) Data 0.001 (0.002) Loss 2.6362 (2.5941) Prec@1 36.875 (36.919) Prec@5 70.000 (67.708) Epoch: [29][6050/11272] Time 0.834 (0.813) Data 0.001 (0.002) Loss 2.5885 (2.5939) Prec@1 38.125 (36.926) Prec@5 69.375 (67.709) Epoch: [29][6060/11272] Time 0.747 (0.813) Data 0.002 (0.002) Loss 2.7860 (2.5940) Prec@1 30.000 (36.924) Prec@5 63.125 (67.710) Epoch: [29][6070/11272] Time 0.795 (0.813) Data 0.002 (0.002) Loss 2.5882 (2.5940) Prec@1 40.000 (36.925) Prec@5 66.875 (67.709) Epoch: [29][6080/11272] Time 0.883 (0.813) Data 0.002 (0.002) Loss 2.5899 (2.5940) Prec@1 39.375 (36.925) Prec@5 67.500 (67.710) Epoch: [29][6090/11272] Time 0.863 (0.813) Data 0.002 (0.002) Loss 2.7295 (2.5938) Prec@1 35.000 (36.927) Prec@5 61.250 (67.713) Epoch: [29][6100/11272] Time 0.766 (0.813) Data 0.002 (0.002) Loss 2.3529 (2.5939) Prec@1 47.500 (36.930) Prec@5 71.875 (67.714) Epoch: [29][6110/11272] Time 0.727 (0.813) Data 0.001 (0.002) Loss 2.7415 (2.5938) Prec@1 31.875 (36.931) Prec@5 66.875 (67.715) Epoch: [29][6120/11272] Time 0.895 (0.813) Data 0.002 (0.002) Loss 2.4652 (2.5938) Prec@1 35.625 (36.929) Prec@5 74.375 (67.715) Epoch: [29][6130/11272] Time 0.846 (0.813) Data 0.002 (0.002) Loss 2.7697 (2.5940) Prec@1 37.500 (36.928) Prec@5 65.000 (67.713) Epoch: [29][6140/11272] Time 0.757 (0.813) Data 0.002 (0.002) Loss 2.7283 (2.5940) Prec@1 31.250 (36.926) Prec@5 65.625 (67.713) Epoch: [29][6150/11272] Time 0.896 (0.813) Data 0.002 (0.002) Loss 2.5424 (2.5940) Prec@1 36.875 (36.928) Prec@5 69.375 (67.713) Epoch: [29][6160/11272] Time 0.827 (0.813) Data 0.001 (0.002) Loss 2.8467 (2.5942) Prec@1 35.625 (36.927) Prec@5 67.500 (67.710) Epoch: [29][6170/11272] Time 0.746 (0.813) Data 0.001 (0.002) Loss 2.4298 (2.5941) Prec@1 33.750 (36.927) Prec@5 69.375 (67.710) Epoch: [29][6180/11272] Time 0.797 (0.813) Data 0.001 (0.002) Loss 2.6593 (2.5941) Prec@1 38.125 (36.927) Prec@5 64.375 (67.710) Epoch: [29][6190/11272] Time 0.843 (0.813) Data 0.002 (0.002) Loss 2.9087 (2.5942) Prec@1 34.375 (36.925) Prec@5 59.375 (67.706) Epoch: [29][6200/11272] Time 0.847 (0.813) Data 0.002 (0.002) Loss 2.6142 (2.5943) Prec@1 33.750 (36.924) Prec@5 68.125 (67.706) Epoch: [29][6210/11272] Time 0.748 (0.813) Data 0.001 (0.002) Loss 2.5905 (2.5941) Prec@1 31.875 (36.923) Prec@5 70.000 (67.709) Epoch: [29][6220/11272] Time 0.746 (0.813) Data 0.002 (0.002) Loss 2.5316 (2.5942) Prec@1 36.250 (36.920) Prec@5 70.625 (67.708) Epoch: [29][6230/11272] Time 0.851 (0.813) Data 0.002 (0.002) Loss 2.8998 (2.5943) Prec@1 31.250 (36.918) Prec@5 65.625 (67.705) Epoch: [29][6240/11272] Time 0.929 (0.813) Data 0.001 (0.002) Loss 2.3955 (2.5943) Prec@1 39.375 (36.918) Prec@5 72.500 (67.706) Epoch: [29][6250/11272] Time 0.750 (0.813) Data 0.002 (0.002) Loss 2.4768 (2.5943) Prec@1 36.250 (36.915) Prec@5 68.750 (67.707) Epoch: [29][6260/11272] Time 0.733 (0.813) Data 0.001 (0.002) Loss 2.6083 (2.5942) Prec@1 38.750 (36.918) Prec@5 71.250 (67.709) Epoch: [29][6270/11272] Time 0.871 (0.813) Data 0.001 (0.002) Loss 2.6612 (2.5941) Prec@1 36.875 (36.921) Prec@5 65.625 (67.710) Epoch: [29][6280/11272] Time 0.744 (0.813) Data 0.003 (0.002) Loss 2.9304 (2.5942) Prec@1 30.625 (36.919) Prec@5 63.125 (67.707) Epoch: [29][6290/11272] Time 0.753 (0.813) Data 0.001 (0.002) Loss 2.7463 (2.5942) Prec@1 38.125 (36.919) Prec@5 66.250 (67.708) Epoch: [29][6300/11272] Time 0.932 (0.813) Data 0.002 (0.002) Loss 2.5787 (2.5943) Prec@1 39.375 (36.917) Prec@5 68.750 (67.708) Epoch: [29][6310/11272] Time 0.892 (0.813) Data 0.002 (0.002) Loss 2.3745 (2.5943) Prec@1 46.250 (36.918) Prec@5 68.750 (67.708) Epoch: [29][6320/11272] Time 0.766 (0.813) Data 0.003 (0.002) Loss 2.8090 (2.5944) Prec@1 35.000 (36.916) Prec@5 64.375 (67.704) Epoch: [29][6330/11272] Time 0.755 (0.813) Data 0.002 (0.002) Loss 2.5632 (2.5944) Prec@1 35.625 (36.913) Prec@5 70.000 (67.703) Epoch: [29][6340/11272] Time 0.855 (0.813) Data 0.002 (0.002) Loss 2.6255 (2.5943) Prec@1 39.375 (36.915) Prec@5 66.875 (67.705) Epoch: [29][6350/11272] Time 0.937 (0.813) Data 0.002 (0.002) Loss 2.5454 (2.5942) Prec@1 33.750 (36.918) Prec@5 70.000 (67.709) Epoch: [29][6360/11272] Time 0.746 (0.813) Data 0.002 (0.002) Loss 2.3679 (2.5941) Prec@1 44.375 (36.920) Prec@5 70.000 (67.709) Epoch: [29][6370/11272] Time 0.766 (0.813) Data 0.002 (0.002) Loss 2.5073 (2.5940) Prec@1 41.875 (36.925) Prec@5 71.875 (67.713) Epoch: [29][6380/11272] Time 0.886 (0.813) Data 0.002 (0.002) Loss 2.4886 (2.5938) Prec@1 36.875 (36.930) Prec@5 65.625 (67.714) Epoch: [29][6390/11272] Time 0.856 (0.813) Data 0.002 (0.002) Loss 2.5871 (2.5939) Prec@1 38.750 (36.930) Prec@5 68.125 (67.710) Epoch: [29][6400/11272] Time 0.762 (0.813) Data 0.002 (0.002) Loss 2.6952 (2.5940) Prec@1 37.500 (36.929) Prec@5 68.750 (67.708) Epoch: [29][6410/11272] Time 0.849 (0.813) Data 0.002 (0.002) Loss 2.3348 (2.5938) Prec@1 41.250 (36.929) Prec@5 73.125 (67.713) Epoch: [29][6420/11272] Time 0.882 (0.813) Data 0.001 (0.002) Loss 2.5997 (2.5939) Prec@1 37.500 (36.928) Prec@5 68.125 (67.712) Epoch: [29][6430/11272] Time 0.783 (0.813) Data 0.002 (0.002) Loss 2.5154 (2.5939) Prec@1 38.125 (36.932) Prec@5 74.375 (67.715) Epoch: [29][6440/11272] Time 0.756 (0.813) Data 0.002 (0.002) Loss 2.4264 (2.5938) Prec@1 41.250 (36.931) Prec@5 68.125 (67.715) Epoch: [29][6450/11272] Time 0.885 (0.813) Data 0.002 (0.002) Loss 2.3587 (2.5938) Prec@1 42.500 (36.933) Prec@5 74.375 (67.718) Epoch: [29][6460/11272] Time 0.875 (0.813) Data 0.002 (0.002) Loss 2.5318 (2.5938) Prec@1 34.375 (36.933) Prec@5 69.375 (67.717) Epoch: [29][6470/11272] Time 0.772 (0.813) Data 0.002 (0.002) Loss 2.6696 (2.5939) Prec@1 28.750 (36.929) Prec@5 70.000 (67.716) Epoch: [29][6480/11272] Time 0.750 (0.813) Data 0.001 (0.002) Loss 2.7767 (2.5940) Prec@1 33.750 (36.930) Prec@5 67.500 (67.717) Epoch: [29][6490/11272] Time 0.867 (0.813) Data 0.001 (0.002) Loss 2.3702 (2.5940) Prec@1 43.125 (36.931) Prec@5 69.375 (67.713) Epoch: [29][6500/11272] Time 0.844 (0.813) Data 0.001 (0.002) Loss 2.8221 (2.5942) Prec@1 28.125 (36.928) Prec@5 65.625 (67.710) Epoch: [29][6510/11272] Time 0.790 (0.813) Data 0.002 (0.002) Loss 2.4725 (2.5942) Prec@1 41.875 (36.928) Prec@5 67.500 (67.712) Epoch: [29][6520/11272] Time 0.751 (0.813) Data 0.003 (0.002) Loss 2.7058 (2.5943) Prec@1 38.750 (36.927) Prec@5 66.250 (67.711) Epoch: [29][6530/11272] Time 0.886 (0.813) Data 0.002 (0.002) Loss 2.7654 (2.5943) Prec@1 37.500 (36.925) Prec@5 63.125 (67.708) Epoch: [29][6540/11272] Time 0.826 (0.813) Data 0.001 (0.002) Loss 2.8520 (2.5943) Prec@1 28.750 (36.923) Prec@5 63.750 (67.706) Epoch: [29][6550/11272] Time 0.770 (0.813) Data 0.002 (0.002) Loss 2.7061 (2.5944) Prec@1 35.000 (36.923) Prec@5 61.250 (67.705) Epoch: [29][6560/11272] Time 0.922 (0.813) Data 0.001 (0.002) Loss 2.4985 (2.5943) Prec@1 37.500 (36.927) Prec@5 66.875 (67.706) Epoch: [29][6570/11272] Time 0.881 (0.813) Data 0.002 (0.002) Loss 2.6967 (2.5943) Prec@1 31.875 (36.927) Prec@5 64.375 (67.706) Epoch: [29][6580/11272] Time 0.756 (0.813) Data 0.003 (0.002) Loss 2.6842 (2.5943) Prec@1 33.125 (36.926) Prec@5 68.125 (67.706) Epoch: [29][6590/11272] Time 0.739 (0.813) Data 0.002 (0.002) Loss 2.6034 (2.5942) Prec@1 32.500 (36.930) Prec@5 73.125 (67.709) Epoch: [29][6600/11272] Time 0.843 (0.813) Data 0.002 (0.002) Loss 2.3801 (2.5942) Prec@1 40.000 (36.930) Prec@5 71.250 (67.710) Epoch: [29][6610/11272] Time 0.831 (0.813) Data 0.002 (0.002) Loss 2.6728 (2.5941) Prec@1 34.375 (36.930) Prec@5 66.250 (67.711) Epoch: [29][6620/11272] Time 0.748 (0.813) Data 0.002 (0.002) Loss 2.5863 (2.5941) Prec@1 38.750 (36.930) Prec@5 70.000 (67.712) Epoch: [29][6630/11272] Time 0.746 (0.813) Data 0.002 (0.002) Loss 2.7978 (2.5943) Prec@1 33.125 (36.929) Prec@5 62.500 (67.708) Epoch: [29][6640/11272] Time 0.917 (0.813) Data 0.002 (0.002) Loss 2.6485 (2.5943) Prec@1 36.250 (36.927) Prec@5 65.000 (67.709) Epoch: [29][6650/11272] Time 0.838 (0.813) Data 0.002 (0.002) Loss 2.5484 (2.5943) Prec@1 35.000 (36.926) Prec@5 72.500 (67.708) Epoch: [29][6660/11272] Time 0.760 (0.813) Data 0.002 (0.002) Loss 2.7169 (2.5944) Prec@1 31.875 (36.924) Prec@5 66.250 (67.706) Epoch: [29][6670/11272] Time 0.740 (0.813) Data 0.002 (0.002) Loss 2.6398 (2.5943) Prec@1 35.625 (36.925) Prec@5 66.250 (67.707) Epoch: [29][6680/11272] Time 0.903 (0.813) Data 0.002 (0.002) Loss 2.6489 (2.5943) Prec@1 35.625 (36.926) Prec@5 68.125 (67.707) Epoch: [29][6690/11272] Time 0.752 (0.813) Data 0.001 (0.002) Loss 2.6268 (2.5941) Prec@1 37.500 (36.929) Prec@5 68.750 (67.711) Epoch: [29][6700/11272] Time 0.754 (0.813) Data 0.001 (0.002) Loss 2.6324 (2.5941) Prec@1 35.000 (36.931) Prec@5 66.250 (67.711) Epoch: [29][6710/11272] Time 0.848 (0.813) Data 0.002 (0.002) Loss 2.6454 (2.5940) Prec@1 36.875 (36.933) Prec@5 68.750 (67.711) Epoch: [29][6720/11272] Time 0.910 (0.813) Data 0.002 (0.002) Loss 2.6442 (2.5940) Prec@1 36.875 (36.933) Prec@5 61.875 (67.712) Epoch: [29][6730/11272] Time 0.733 (0.813) Data 0.002 (0.002) Loss 2.5639 (2.5940) Prec@1 37.500 (36.933) Prec@5 66.875 (67.711) Epoch: [29][6740/11272] Time 0.768 (0.813) Data 0.002 (0.002) Loss 2.5825 (2.5939) Prec@1 36.875 (36.932) Prec@5 68.125 (67.713) Epoch: [29][6750/11272] Time 0.889 (0.813) Data 0.002 (0.002) Loss 2.2588 (2.5938) Prec@1 44.375 (36.933) Prec@5 72.500 (67.714) Epoch: [29][6760/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.5902 (2.5938) Prec@1 42.500 (36.935) Prec@5 66.875 (67.715) Epoch: [29][6770/11272] Time 0.702 (0.812) Data 0.001 (0.002) Loss 2.5060 (2.5938) Prec@1 40.625 (36.936) Prec@5 66.875 (67.714) Epoch: [29][6780/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.4102 (2.5936) Prec@1 40.625 (36.939) Prec@5 74.375 (67.720) Epoch: [29][6790/11272] Time 0.854 (0.812) Data 0.002 (0.002) Loss 2.4547 (2.5936) Prec@1 36.875 (36.938) Prec@5 71.875 (67.720) Epoch: [29][6800/11272] Time 0.829 (0.812) Data 0.001 (0.002) Loss 2.5001 (2.5936) Prec@1 36.250 (36.939) Prec@5 68.125 (67.719) Epoch: [29][6810/11272] Time 0.756 (0.812) Data 0.001 (0.002) Loss 2.5114 (2.5936) Prec@1 41.875 (36.939) Prec@5 67.500 (67.719) Epoch: [29][6820/11272] Time 0.819 (0.812) Data 0.002 (0.002) Loss 2.4028 (2.5936) Prec@1 43.750 (36.939) Prec@5 71.875 (67.720) Epoch: [29][6830/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.6285 (2.5935) Prec@1 32.500 (36.941) Prec@5 67.500 (67.721) Epoch: [29][6840/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.8239 (2.5935) Prec@1 33.125 (36.938) Prec@5 63.125 (67.723) Epoch: [29][6850/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.6393 (2.5936) Prec@1 28.125 (36.935) Prec@5 65.000 (67.720) Epoch: [29][6860/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.5041 (2.5936) Prec@1 37.500 (36.933) Prec@5 71.250 (67.720) Epoch: [29][6870/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.5278 (2.5936) Prec@1 39.375 (36.933) Prec@5 67.500 (67.720) Epoch: [29][6880/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.5473 (2.5937) Prec@1 34.375 (36.932) Prec@5 70.000 (67.719) Epoch: [29][6890/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.8132 (2.5939) Prec@1 31.250 (36.928) Prec@5 61.875 (67.716) Epoch: [29][6900/11272] Time 0.795 (0.812) Data 0.002 (0.002) Loss 2.4492 (2.5940) Prec@1 40.000 (36.928) Prec@5 70.625 (67.715) Epoch: [29][6910/11272] Time 0.845 (0.812) Data 0.001 (0.002) Loss 2.9449 (2.5939) Prec@1 33.125 (36.929) Prec@5 59.375 (67.715) Epoch: [29][6920/11272] Time 0.773 (0.812) Data 0.001 (0.002) Loss 2.6451 (2.5939) Prec@1 31.875 (36.930) Prec@5 64.375 (67.715) Epoch: [29][6930/11272] Time 0.726 (0.812) Data 0.002 (0.002) Loss 2.8356 (2.5939) Prec@1 30.000 (36.928) Prec@5 66.875 (67.716) Epoch: [29][6940/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.4945 (2.5939) Prec@1 41.250 (36.930) Prec@5 71.250 (67.715) Epoch: [29][6950/11272] Time 0.729 (0.812) Data 0.003 (0.002) Loss 2.7048 (2.5939) Prec@1 33.750 (36.930) Prec@5 63.750 (67.716) Epoch: [29][6960/11272] Time 0.778 (0.812) Data 0.002 (0.002) Loss 2.6052 (2.5939) Prec@1 36.250 (36.931) Prec@5 62.500 (67.716) Epoch: [29][6970/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.5741 (2.5940) Prec@1 31.250 (36.926) Prec@5 70.625 (67.716) Epoch: [29][6980/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.5139 (2.5940) Prec@1 41.250 (36.928) Prec@5 70.000 (67.714) Epoch: [29][6990/11272] Time 0.775 (0.812) Data 0.002 (0.002) Loss 2.4715 (2.5940) Prec@1 39.375 (36.931) Prec@5 68.750 (67.713) Epoch: [29][7000/11272] Time 0.766 (0.812) Data 0.002 (0.002) Loss 2.0387 (2.5939) Prec@1 47.500 (36.932) Prec@5 78.750 (67.716) Epoch: [29][7010/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.8239 (2.5939) Prec@1 38.125 (36.929) Prec@5 61.875 (67.716) Epoch: [29][7020/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.5550 (2.5939) Prec@1 40.625 (36.932) Prec@5 68.750 (67.717) Epoch: [29][7030/11272] Time 0.768 (0.812) Data 0.002 (0.002) Loss 2.6048 (2.5939) Prec@1 37.500 (36.931) Prec@5 71.875 (67.718) Epoch: [29][7040/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.8794 (2.5939) Prec@1 31.875 (36.930) Prec@5 66.250 (67.719) Epoch: [29][7050/11272] Time 0.844 (0.812) Data 0.001 (0.002) Loss 2.9230 (2.5940) Prec@1 28.750 (36.927) Prec@5 60.000 (67.717) Epoch: [29][7060/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.7038 (2.5940) Prec@1 36.875 (36.928) Prec@5 66.875 (67.717) Epoch: [29][7070/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.6303 (2.5940) Prec@1 33.750 (36.928) Prec@5 71.250 (67.717) Epoch: [29][7080/11272] Time 0.898 (0.812) Data 0.001 (0.002) Loss 2.3539 (2.5939) Prec@1 39.375 (36.929) Prec@5 70.625 (67.719) Epoch: [29][7090/11272] Time 0.931 (0.812) Data 0.002 (0.002) Loss 2.5667 (2.5939) Prec@1 37.500 (36.930) Prec@5 64.375 (67.718) Epoch: [29][7100/11272] Time 0.767 (0.812) Data 0.001 (0.002) Loss 2.6772 (2.5939) Prec@1 35.000 (36.931) Prec@5 68.750 (67.719) Epoch: [29][7110/11272] Time 0.733 (0.812) Data 0.002 (0.002) Loss 2.7131 (2.5940) Prec@1 39.375 (36.929) Prec@5 66.250 (67.720) Epoch: [29][7120/11272] Time 0.821 (0.812) Data 0.001 (0.002) Loss 2.7434 (2.5939) Prec@1 34.375 (36.932) Prec@5 65.000 (67.722) Epoch: [29][7130/11272] Time 0.888 (0.812) Data 0.002 (0.002) Loss 2.4162 (2.5939) Prec@1 38.125 (36.931) Prec@5 70.000 (67.722) Epoch: [29][7140/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 2.6494 (2.5938) Prec@1 32.500 (36.932) Prec@5 70.000 (67.724) Epoch: [29][7150/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 2.5435 (2.5939) Prec@1 36.250 (36.929) Prec@5 71.250 (67.723) Epoch: [29][7160/11272] Time 0.900 (0.812) Data 0.002 (0.002) Loss 2.5760 (2.5938) Prec@1 34.375 (36.930) Prec@5 70.625 (67.725) Epoch: [29][7170/11272] Time 0.862 (0.812) Data 0.001 (0.002) Loss 2.3692 (2.5938) Prec@1 43.750 (36.930) Prec@5 71.250 (67.724) Epoch: [29][7180/11272] Time 0.725 (0.812) Data 0.001 (0.002) Loss 2.7736 (2.5938) Prec@1 35.625 (36.931) Prec@5 68.125 (67.724) Epoch: [29][7190/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 2.6499 (2.5939) Prec@1 38.125 (36.927) Prec@5 67.500 (67.722) Epoch: [29][7200/11272] Time 0.931 (0.812) Data 0.002 (0.002) Loss 2.3835 (2.5938) Prec@1 38.125 (36.928) Prec@5 76.875 (67.723) Epoch: [29][7210/11272] Time 0.728 (0.812) Data 0.003 (0.002) Loss 2.4945 (2.5938) Prec@1 38.125 (36.929) Prec@5 70.000 (67.724) Epoch: [29][7220/11272] Time 0.778 (0.812) Data 0.002 (0.002) Loss 2.7406 (2.5938) Prec@1 34.375 (36.929) Prec@5 65.000 (67.723) Epoch: [29][7230/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.5050 (2.5937) Prec@1 38.750 (36.931) Prec@5 67.500 (67.723) Epoch: [29][7240/11272] Time 0.904 (0.812) Data 0.002 (0.002) Loss 2.4766 (2.5937) Prec@1 41.875 (36.933) Prec@5 70.000 (67.722) Epoch: [29][7250/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.6371 (2.5938) Prec@1 33.125 (36.932) Prec@5 65.000 (67.720) Epoch: [29][7260/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.6224 (2.5939) Prec@1 36.250 (36.931) Prec@5 69.375 (67.715) Epoch: [29][7270/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.4016 (2.5940) Prec@1 37.500 (36.928) Prec@5 70.000 (67.713) Epoch: [29][7280/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 2.6219 (2.5940) Prec@1 36.875 (36.928) Prec@5 66.875 (67.710) Epoch: [29][7290/11272] Time 0.713 (0.812) Data 0.001 (0.002) Loss 2.4940 (2.5941) Prec@1 39.375 (36.928) Prec@5 72.500 (67.711) Epoch: [29][7300/11272] Time 0.798 (0.812) Data 0.001 (0.002) Loss 2.7634 (2.5941) Prec@1 30.000 (36.927) Prec@5 63.125 (67.710) Epoch: [29][7310/11272] Time 0.836 (0.812) Data 0.001 (0.002) Loss 2.7194 (2.5942) Prec@1 34.375 (36.924) Prec@5 65.000 (67.707) Epoch: [29][7320/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 2.6756 (2.5942) Prec@1 36.875 (36.923) Prec@5 65.625 (67.706) Epoch: [29][7330/11272] Time 0.741 (0.812) Data 0.002 (0.002) Loss 2.6963 (2.5942) Prec@1 31.250 (36.924) Prec@5 60.625 (67.705) Epoch: [29][7340/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.5775 (2.5941) Prec@1 40.000 (36.926) Prec@5 66.250 (67.707) Epoch: [29][7350/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.7860 (2.5940) Prec@1 35.000 (36.927) Prec@5 63.125 (67.709) Epoch: [29][7360/11272] Time 0.769 (0.812) Data 0.001 (0.002) Loss 2.7295 (2.5941) Prec@1 39.375 (36.928) Prec@5 66.250 (67.706) Epoch: [29][7370/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 2.4579 (2.5941) Prec@1 38.125 (36.927) Prec@5 71.875 (67.708) Epoch: [29][7380/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.5169 (2.5940) Prec@1 37.500 (36.930) Prec@5 70.625 (67.710) Epoch: [29][7390/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.5402 (2.5940) Prec@1 41.250 (36.928) Prec@5 68.125 (67.709) Epoch: [29][7400/11272] Time 0.744 (0.812) Data 0.001 (0.002) Loss 2.4701 (2.5941) Prec@1 41.250 (36.930) Prec@5 68.125 (67.709) Epoch: [29][7410/11272] Time 0.768 (0.812) Data 0.002 (0.002) Loss 2.6828 (2.5941) Prec@1 33.125 (36.929) Prec@5 66.250 (67.708) Epoch: [29][7420/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.7770 (2.5941) Prec@1 37.500 (36.930) Prec@5 65.625 (67.708) Epoch: [29][7430/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 2.5483 (2.5940) Prec@1 38.125 (36.932) Prec@5 68.750 (67.709) Epoch: [29][7440/11272] Time 0.789 (0.812) Data 0.002 (0.002) Loss 2.5392 (2.5940) Prec@1 36.875 (36.935) Prec@5 67.500 (67.709) Epoch: [29][7450/11272] Time 0.779 (0.812) Data 0.002 (0.002) Loss 2.8126 (2.5941) Prec@1 33.125 (36.933) Prec@5 63.125 (67.707) Epoch: [29][7460/11272] Time 0.883 (0.812) Data 0.002 (0.002) Loss 2.6333 (2.5941) Prec@1 32.500 (36.932) Prec@5 66.250 (67.705) Epoch: [29][7470/11272] Time 0.867 (0.812) Data 0.001 (0.002) Loss 2.4643 (2.5941) Prec@1 36.875 (36.933) Prec@5 65.625 (67.703) Epoch: [29][7480/11272] Time 0.766 (0.812) Data 0.002 (0.002) Loss 2.4683 (2.5942) Prec@1 36.875 (36.933) Prec@5 68.750 (67.703) Epoch: [29][7490/11272] Time 0.916 (0.812) Data 0.001 (0.002) Loss 2.7236 (2.5942) Prec@1 32.500 (36.930) Prec@5 63.750 (67.701) Epoch: [29][7500/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 2.4325 (2.5943) Prec@1 36.875 (36.930) Prec@5 66.875 (67.699) Epoch: [29][7510/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.5170 (2.5944) Prec@1 41.875 (36.927) Prec@5 68.750 (67.698) Epoch: [29][7520/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.6175 (2.5945) Prec@1 35.625 (36.926) Prec@5 67.500 (67.697) Epoch: [29][7530/11272] Time 0.892 (0.812) Data 0.002 (0.002) Loss 2.5194 (2.5945) Prec@1 39.375 (36.927) Prec@5 70.625 (67.699) Epoch: [29][7540/11272] Time 0.891 (0.812) Data 0.001 (0.002) Loss 2.7144 (2.5945) Prec@1 40.000 (36.928) Prec@5 64.375 (67.697) Epoch: [29][7550/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 2.5903 (2.5945) Prec@1 39.375 (36.929) Prec@5 63.125 (67.699) Epoch: [29][7560/11272] Time 0.774 (0.812) Data 0.002 (0.002) Loss 2.3152 (2.5944) Prec@1 39.375 (36.929) Prec@5 75.000 (67.700) Epoch: [29][7570/11272] Time 0.904 (0.812) Data 0.002 (0.002) Loss 2.7978 (2.5945) Prec@1 36.875 (36.929) Prec@5 61.875 (67.699) Epoch: [29][7580/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 2.7382 (2.5946) Prec@1 33.125 (36.926) Prec@5 66.250 (67.698) Epoch: [29][7590/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 2.4610 (2.5944) Prec@1 34.375 (36.929) Prec@5 71.875 (67.703) Epoch: [29][7600/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.7484 (2.5944) Prec@1 31.875 (36.931) Prec@5 65.000 (67.704) Epoch: [29][7610/11272] Time 0.874 (0.812) Data 0.002 (0.002) Loss 2.7172 (2.5943) Prec@1 41.875 (36.933) Prec@5 68.125 (67.705) Epoch: [29][7620/11272] Time 0.742 (0.812) Data 0.001 (0.002) Loss 2.7795 (2.5944) Prec@1 36.875 (36.932) Prec@5 60.625 (67.703) Epoch: [29][7630/11272] Time 0.795 (0.812) Data 0.002 (0.002) Loss 2.6363 (2.5944) Prec@1 39.375 (36.932) Prec@5 65.625 (67.702) Epoch: [29][7640/11272] Time 0.837 (0.812) Data 0.001 (0.002) Loss 2.1132 (2.5944) Prec@1 48.125 (36.933) Prec@5 75.000 (67.701) Epoch: [29][7650/11272] Time 0.945 (0.812) Data 0.002 (0.002) Loss 2.6446 (2.5944) Prec@1 39.375 (36.935) Prec@5 66.875 (67.702) Epoch: [29][7660/11272] Time 0.743 (0.812) Data 0.002 (0.002) Loss 2.5282 (2.5945) Prec@1 37.500 (36.933) Prec@5 69.375 (67.701) Epoch: [29][7670/11272] Time 0.794 (0.812) Data 0.002 (0.002) Loss 2.4398 (2.5945) Prec@1 44.375 (36.933) Prec@5 68.750 (67.699) Epoch: [29][7680/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 2.8481 (2.5945) Prec@1 31.250 (36.935) Prec@5 61.250 (67.700) Epoch: [29][7690/11272] Time 0.908 (0.812) Data 0.002 (0.002) Loss 2.6148 (2.5944) Prec@1 39.375 (36.937) Prec@5 66.250 (67.700) Epoch: [29][7700/11272] Time 0.789 (0.812) Data 0.002 (0.002) Loss 2.4107 (2.5945) Prec@1 35.625 (36.935) Prec@5 73.125 (67.700) Epoch: [29][7710/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 3.0509 (2.5945) Prec@1 31.250 (36.934) Prec@5 53.125 (67.699) Epoch: [29][7720/11272] Time 0.866 (0.812) Data 0.003 (0.002) Loss 2.7426 (2.5946) Prec@1 31.250 (36.933) Prec@5 61.250 (67.697) Epoch: [29][7730/11272] Time 0.826 (0.812) Data 0.001 (0.002) Loss 2.4179 (2.5947) Prec@1 40.000 (36.933) Prec@5 75.625 (67.697) Epoch: [29][7740/11272] Time 0.749 (0.812) Data 0.001 (0.002) Loss 2.4682 (2.5946) Prec@1 37.500 (36.933) Prec@5 72.500 (67.700) Epoch: [29][7750/11272] Time 0.893 (0.812) Data 0.002 (0.002) Loss 2.3319 (2.5946) Prec@1 40.000 (36.934) Prec@5 76.250 (67.702) Epoch: [29][7760/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 2.2913 (2.5946) Prec@1 45.000 (36.934) Prec@5 72.500 (67.702) Epoch: [29][7770/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.6325 (2.5947) Prec@1 38.750 (36.932) Prec@5 64.375 (67.699) Epoch: [29][7780/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.8151 (2.5948) Prec@1 33.750 (36.930) Prec@5 60.000 (67.698) Epoch: [29][7790/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.6008 (2.5948) Prec@1 31.875 (36.931) Prec@5 71.250 (67.699) Epoch: [29][7800/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 2.3688 (2.5948) Prec@1 36.875 (36.931) Prec@5 70.625 (67.698) Epoch: [29][7810/11272] Time 0.735 (0.812) Data 0.002 (0.002) Loss 2.9963 (2.5950) Prec@1 29.375 (36.929) Prec@5 59.375 (67.695) Epoch: [29][7820/11272] Time 0.774 (0.812) Data 0.002 (0.002) Loss 2.3884 (2.5950) Prec@1 38.750 (36.928) Prec@5 71.250 (67.694) Epoch: [29][7830/11272] Time 0.862 (0.812) Data 0.002 (0.002) Loss 2.5089 (2.5950) Prec@1 36.875 (36.928) Prec@5 71.250 (67.695) Epoch: [29][7840/11272] Time 0.902 (0.812) Data 0.002 (0.002) Loss 2.7563 (2.5949) Prec@1 30.000 (36.931) Prec@5 68.125 (67.697) Epoch: [29][7850/11272] Time 0.751 (0.812) Data 0.001 (0.002) Loss 2.8923 (2.5950) Prec@1 31.250 (36.932) Prec@5 63.125 (67.695) Epoch: [29][7860/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 2.7840 (2.5950) Prec@1 29.375 (36.931) Prec@5 66.250 (67.694) Epoch: [29][7870/11272] Time 0.835 (0.812) Data 0.002 (0.002) Loss 2.7742 (2.5950) Prec@1 36.250 (36.932) Prec@5 62.500 (67.695) Epoch: [29][7880/11272] Time 0.736 (0.812) Data 0.003 (0.002) Loss 2.8462 (2.5951) Prec@1 31.250 (36.930) Prec@5 66.875 (67.693) Epoch: [29][7890/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.5261 (2.5950) Prec@1 33.750 (36.931) Prec@5 72.500 (67.696) Epoch: [29][7900/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.4970 (2.5951) Prec@1 38.125 (36.929) Prec@5 70.000 (67.694) Epoch: [29][7910/11272] Time 0.896 (0.812) Data 0.002 (0.002) Loss 2.3944 (2.5951) Prec@1 40.625 (36.927) Prec@5 76.250 (67.695) Epoch: [29][7920/11272] Time 0.831 (0.812) Data 0.002 (0.002) Loss 2.8558 (2.5951) Prec@1 35.625 (36.928) Prec@5 63.125 (67.695) Epoch: [29][7930/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.4147 (2.5951) Prec@1 39.375 (36.928) Prec@5 67.500 (67.696) Epoch: [29][7940/11272] Time 0.897 (0.812) Data 0.002 (0.002) Loss 2.7776 (2.5951) Prec@1 29.375 (36.929) Prec@5 61.875 (67.695) Epoch: [29][7950/11272] Time 0.811 (0.812) Data 0.001 (0.002) Loss 2.5974 (2.5951) Prec@1 37.500 (36.929) Prec@5 68.750 (67.695) Epoch: [29][7960/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.7133 (2.5952) Prec@1 32.500 (36.927) Prec@5 66.250 (67.694) Epoch: [29][7970/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 2.3014 (2.5952) Prec@1 38.750 (36.927) Prec@5 76.250 (67.693) Epoch: [29][7980/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.5504 (2.5952) Prec@1 35.625 (36.926) Prec@5 72.500 (67.695) Epoch: [29][7990/11272] Time 0.926 (0.812) Data 0.002 (0.002) Loss 2.7159 (2.5952) Prec@1 35.625 (36.925) Prec@5 71.250 (67.695) Epoch: [29][8000/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.5221 (2.5951) Prec@1 39.375 (36.926) Prec@5 73.750 (67.696) Epoch: [29][8010/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.7761 (2.5952) Prec@1 39.375 (36.926) Prec@5 65.000 (67.694) Epoch: [29][8020/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 2.6966 (2.5952) Prec@1 35.625 (36.926) Prec@5 62.500 (67.692) Epoch: [29][8030/11272] Time 0.762 (0.812) Data 0.001 (0.002) Loss 2.5584 (2.5953) Prec@1 35.000 (36.924) Prec@5 66.250 (67.691) Epoch: [29][8040/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 2.5661 (2.5952) Prec@1 35.000 (36.926) Prec@5 68.125 (67.692) Epoch: [29][8050/11272] Time 0.868 (0.812) Data 0.002 (0.002) Loss 2.4675 (2.5953) Prec@1 40.625 (36.925) Prec@5 68.125 (67.692) Epoch: [29][8060/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.4778 (2.5953) Prec@1 40.000 (36.925) Prec@5 75.000 (67.693) Epoch: [29][8070/11272] Time 0.732 (0.812) Data 0.002 (0.002) Loss 2.5202 (2.5952) Prec@1 36.875 (36.927) Prec@5 66.875 (67.694) Epoch: [29][8080/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.5792 (2.5951) Prec@1 35.625 (36.929) Prec@5 66.875 (67.696) Epoch: [29][8090/11272] Time 0.897 (0.812) Data 0.002 (0.002) Loss 2.5300 (2.5951) Prec@1 35.625 (36.930) Prec@5 68.125 (67.698) Epoch: [29][8100/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.5997 (2.5951) Prec@1 40.000 (36.930) Prec@5 61.250 (67.695) Epoch: [29][8110/11272] Time 0.735 (0.812) Data 0.001 (0.002) Loss 2.8157 (2.5951) Prec@1 31.875 (36.929) Prec@5 64.375 (67.695) Epoch: [29][8120/11272] Time 0.724 (0.812) Data 0.001 (0.002) Loss 2.4621 (2.5951) Prec@1 38.750 (36.931) Prec@5 74.375 (67.696) Epoch: [29][8130/11272] Time 0.924 (0.812) Data 0.002 (0.002) Loss 2.6377 (2.5951) Prec@1 35.000 (36.929) Prec@5 66.250 (67.695) Epoch: [29][8140/11272] Time 0.743 (0.812) Data 0.003 (0.002) Loss 2.4984 (2.5952) Prec@1 40.000 (36.928) Prec@5 65.625 (67.693) Epoch: [29][8150/11272] Time 0.751 (0.812) Data 0.001 (0.002) Loss 2.6680 (2.5952) Prec@1 35.625 (36.925) Prec@5 63.125 (67.693) Epoch: [29][8160/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 2.5119 (2.5951) Prec@1 43.125 (36.928) Prec@5 67.500 (67.694) Epoch: [29][8170/11272] Time 0.862 (0.812) Data 0.003 (0.002) Loss 2.7455 (2.5951) Prec@1 38.750 (36.929) Prec@5 63.125 (67.692) Epoch: [29][8180/11272] Time 0.758 (0.812) Data 0.002 (0.002) Loss 2.5114 (2.5951) Prec@1 36.875 (36.927) Prec@5 72.500 (67.693) Epoch: [29][8190/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.3579 (2.5951) Prec@1 41.875 (36.927) Prec@5 74.375 (67.694) Epoch: [29][8200/11272] Time 0.849 (0.812) Data 0.002 (0.002) Loss 2.8943 (2.5952) Prec@1 31.875 (36.926) Prec@5 60.000 (67.692) Epoch: [29][8210/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 2.5213 (2.5952) Prec@1 40.000 (36.926) Prec@5 67.500 (67.691) Epoch: [29][8220/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.5965 (2.5952) Prec@1 40.000 (36.925) Prec@5 65.625 (67.690) Epoch: [29][8230/11272] Time 0.746 (0.813) Data 0.002 (0.002) Loss 2.5727 (2.5952) Prec@1 38.125 (36.926) Prec@5 71.250 (67.692) Epoch: [29][8240/11272] Time 0.848 (0.812) Data 0.001 (0.002) Loss 2.4251 (2.5951) Prec@1 42.500 (36.928) Prec@5 73.125 (67.694) Epoch: [29][8250/11272] Time 0.851 (0.812) Data 0.001 (0.002) Loss 2.6061 (2.5951) Prec@1 40.000 (36.931) Prec@5 65.625 (67.695) Epoch: [29][8260/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.6791 (2.5951) Prec@1 36.250 (36.930) Prec@5 68.125 (67.693) Epoch: [29][8270/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.5876 (2.5951) Prec@1 35.000 (36.930) Prec@5 68.125 (67.695) Epoch: [29][8280/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 2.5340 (2.5950) Prec@1 41.250 (36.930) Prec@5 70.000 (67.698) Epoch: [29][8290/11272] Time 0.748 (0.812) Data 0.001 (0.002) Loss 2.1552 (2.5950) Prec@1 45.000 (36.929) Prec@5 77.500 (67.698) Epoch: [29][8300/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.5991 (2.5951) Prec@1 37.500 (36.928) Prec@5 69.375 (67.698) Epoch: [29][8310/11272] Time 0.856 (0.812) Data 0.002 (0.002) Loss 2.4976 (2.5950) Prec@1 38.125 (36.930) Prec@5 68.750 (67.700) Epoch: [29][8320/11272] Time 0.829 (0.812) Data 0.002 (0.002) Loss 2.5170 (2.5950) Prec@1 38.125 (36.931) Prec@5 67.500 (67.698) Epoch: [29][8330/11272] Time 0.743 (0.812) Data 0.001 (0.002) Loss 2.4824 (2.5950) Prec@1 36.250 (36.931) Prec@5 66.875 (67.698) Epoch: [29][8340/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.5871 (2.5951) Prec@1 37.500 (36.929) Prec@5 66.875 (67.694) Epoch: [29][8350/11272] Time 0.818 (0.812) Data 0.001 (0.002) Loss 2.7671 (2.5951) Prec@1 36.875 (36.929) Prec@5 66.250 (67.693) Epoch: [29][8360/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.5511 (2.5951) Prec@1 36.875 (36.928) Prec@5 65.000 (67.691) Epoch: [29][8370/11272] Time 0.786 (0.812) Data 0.002 (0.002) Loss 2.7402 (2.5951) Prec@1 32.500 (36.930) Prec@5 65.000 (67.692) Epoch: [29][8380/11272] Time 0.706 (0.812) Data 0.001 (0.002) Loss 2.3640 (2.5951) Prec@1 41.250 (36.930) Prec@5 69.375 (67.693) Epoch: [29][8390/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.6428 (2.5951) Prec@1 40.000 (36.931) Prec@5 66.875 (67.692) Epoch: [29][8400/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 2.4991 (2.5952) Prec@1 37.500 (36.927) Prec@5 68.125 (67.691) Epoch: [29][8410/11272] Time 0.769 (0.812) Data 0.002 (0.002) Loss 2.3661 (2.5951) Prec@1 45.000 (36.927) Prec@5 72.500 (67.691) Epoch: [29][8420/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.7098 (2.5952) Prec@1 32.500 (36.925) Prec@5 65.000 (67.692) Epoch: [29][8430/11272] Time 0.885 (0.812) Data 0.001 (0.002) Loss 2.5540 (2.5953) Prec@1 41.250 (36.923) Prec@5 68.125 (67.690) Epoch: [29][8440/11272] Time 0.818 (0.812) Data 0.002 (0.002) Loss 2.6239 (2.5952) Prec@1 37.500 (36.924) Prec@5 66.875 (67.693) Epoch: [29][8450/11272] Time 0.779 (0.812) Data 0.002 (0.002) Loss 3.0212 (2.5953) Prec@1 28.125 (36.923) Prec@5 58.125 (67.692) Epoch: [29][8460/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 2.4433 (2.5952) Prec@1 43.125 (36.926) Prec@5 73.750 (67.693) Epoch: [29][8470/11272] Time 0.883 (0.812) Data 0.001 (0.002) Loss 2.5569 (2.5953) Prec@1 37.500 (36.924) Prec@5 69.375 (67.692) Epoch: [29][8480/11272] Time 0.765 (0.812) Data 0.001 (0.002) Loss 2.6978 (2.5953) Prec@1 33.750 (36.922) Prec@5 66.250 (67.691) Epoch: [29][8490/11272] Time 0.712 (0.812) Data 0.001 (0.002) Loss 2.3870 (2.5952) Prec@1 40.000 (36.924) Prec@5 75.000 (67.691) Epoch: [29][8500/11272] Time 0.875 (0.812) Data 0.002 (0.002) Loss 2.6893 (2.5952) Prec@1 36.250 (36.923) Prec@5 66.250 (67.690) Epoch: [29][8510/11272] Time 0.887 (0.812) Data 0.002 (0.002) Loss 2.6226 (2.5953) Prec@1 45.000 (36.924) Prec@5 65.000 (67.689) Epoch: [29][8520/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.5691 (2.5953) Prec@1 39.375 (36.924) Prec@5 68.125 (67.689) Epoch: [29][8530/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.4732 (2.5953) Prec@1 33.750 (36.926) Prec@5 71.875 (67.691) Epoch: [29][8540/11272] Time 0.847 (0.812) Data 0.002 (0.002) Loss 2.4990 (2.5953) Prec@1 39.375 (36.926) Prec@5 68.125 (67.692) Epoch: [29][8550/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.5132 (2.5953) Prec@1 39.375 (36.927) Prec@5 68.750 (67.694) Epoch: [29][8560/11272] Time 0.762 (0.812) Data 0.002 (0.002) Loss 2.9145 (2.5952) Prec@1 31.250 (36.928) Prec@5 61.250 (67.695) Epoch: [29][8570/11272] Time 0.825 (0.812) Data 0.002 (0.002) Loss 2.5719 (2.5953) Prec@1 33.750 (36.926) Prec@5 70.000 (67.694) Epoch: [29][8580/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.6465 (2.5952) Prec@1 38.750 (36.926) Prec@5 66.875 (67.695) Epoch: [29][8590/11272] Time 0.741 (0.812) Data 0.002 (0.002) Loss 2.5354 (2.5952) Prec@1 35.000 (36.926) Prec@5 68.750 (67.696) Epoch: [29][8600/11272] Time 0.748 (0.812) Data 0.002 (0.002) Loss 2.7148 (2.5952) Prec@1 33.125 (36.925) Prec@5 65.000 (67.696) Epoch: [29][8610/11272] Time 0.892 (0.812) Data 0.002 (0.002) Loss 2.6745 (2.5953) Prec@1 35.000 (36.926) Prec@5 66.250 (67.694) Epoch: [29][8620/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.4512 (2.5953) Prec@1 41.875 (36.925) Prec@5 68.750 (67.693) Epoch: [29][8630/11272] Time 0.809 (0.812) Data 0.002 (0.002) Loss 2.6438 (2.5954) Prec@1 37.500 (36.924) Prec@5 68.750 (67.692) Epoch: [29][8640/11272] Time 0.770 (0.812) Data 0.002 (0.002) Loss 2.5245 (2.5953) Prec@1 34.375 (36.925) Prec@5 66.875 (67.693) Epoch: [29][8650/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 2.8339 (2.5954) Prec@1 32.500 (36.922) Prec@5 66.875 (67.693) Epoch: [29][8660/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.6572 (2.5954) Prec@1 33.125 (36.921) Prec@5 66.250 (67.692) Epoch: [29][8670/11272] Time 0.794 (0.812) Data 0.002 (0.002) Loss 2.4135 (2.5953) Prec@1 45.000 (36.923) Prec@5 71.875 (67.693) Epoch: [29][8680/11272] Time 0.907 (0.812) Data 0.002 (0.002) Loss 2.4743 (2.5953) Prec@1 36.875 (36.922) Prec@5 73.125 (67.694) Epoch: [29][8690/11272] Time 0.893 (0.812) Data 0.002 (0.002) Loss 2.5347 (2.5953) Prec@1 37.500 (36.923) Prec@5 69.375 (67.693) Epoch: [29][8700/11272] Time 0.798 (0.812) Data 0.002 (0.002) Loss 2.7020 (2.5954) Prec@1 33.125 (36.923) Prec@5 65.625 (67.691) Epoch: [29][8710/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.4256 (2.5954) Prec@1 39.375 (36.922) Prec@5 70.000 (67.692) Epoch: [29][8720/11272] Time 0.869 (0.812) Data 0.001 (0.002) Loss 2.3079 (2.5953) Prec@1 38.125 (36.922) Prec@5 75.625 (67.695) Epoch: [29][8730/11272] Time 0.858 (0.812) Data 0.002 (0.002) Loss 2.4794 (2.5953) Prec@1 37.500 (36.922) Prec@5 71.875 (67.695) Epoch: [29][8740/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.4108 (2.5953) Prec@1 38.750 (36.922) Prec@5 69.375 (67.696) Epoch: [29][8750/11272] Time 0.732 (0.812) Data 0.002 (0.002) Loss 2.4535 (2.5954) Prec@1 37.500 (36.921) Prec@5 69.375 (67.695) Epoch: [29][8760/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.8507 (2.5954) Prec@1 33.750 (36.922) Prec@5 58.125 (67.694) Epoch: [29][8770/11272] Time 0.845 (0.812) Data 0.001 (0.002) Loss 2.5943 (2.5955) Prec@1 38.125 (36.921) Prec@5 67.500 (67.693) Epoch: [29][8780/11272] Time 0.774 (0.812) Data 0.001 (0.002) Loss 2.4842 (2.5955) Prec@1 38.750 (36.921) Prec@5 70.000 (67.692) Epoch: [29][8790/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.5705 (2.5954) Prec@1 38.750 (36.922) Prec@5 69.375 (67.694) Epoch: [29][8800/11272] Time 0.850 (0.812) Data 0.001 (0.002) Loss 2.6863 (2.5955) Prec@1 29.375 (36.920) Prec@5 64.375 (67.693) Epoch: [29][8810/11272] Time 0.724 (0.812) Data 0.003 (0.002) Loss 2.8313 (2.5955) Prec@1 33.125 (36.919) Prec@5 62.500 (67.693) Epoch: [29][8820/11272] Time 0.773 (0.812) Data 0.002 (0.002) Loss 2.4267 (2.5955) Prec@1 41.875 (36.920) Prec@5 68.750 (67.693) Epoch: [29][8830/11272] Time 0.867 (0.812) Data 0.002 (0.002) Loss 2.5387 (2.5955) Prec@1 34.375 (36.918) Prec@5 69.375 (67.693) Epoch: [29][8840/11272] Time 0.900 (0.812) Data 0.002 (0.002) Loss 2.5082 (2.5955) Prec@1 40.625 (36.919) Prec@5 70.625 (67.692) Epoch: [29][8850/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.4704 (2.5955) Prec@1 38.125 (36.919) Prec@5 69.375 (67.692) Epoch: [29][8860/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 2.5207 (2.5954) Prec@1 37.500 (36.919) Prec@5 63.750 (67.691) Epoch: [29][8870/11272] Time 0.850 (0.812) Data 0.002 (0.002) Loss 2.5505 (2.5955) Prec@1 41.250 (36.919) Prec@5 70.000 (67.691) Epoch: [29][8880/11272] Time 0.907 (0.812) Data 0.002 (0.002) Loss 2.4288 (2.5954) Prec@1 38.750 (36.922) Prec@5 73.750 (67.692) Epoch: [29][8890/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.6278 (2.5953) Prec@1 36.250 (36.925) Prec@5 66.875 (67.694) Epoch: [29][8900/11272] Time 0.773 (0.812) Data 0.002 (0.002) Loss 2.5174 (2.5952) Prec@1 43.125 (36.928) Prec@5 69.375 (67.695) Epoch: [29][8910/11272] Time 0.855 (0.812) Data 0.001 (0.002) Loss 2.6983 (2.5953) Prec@1 35.000 (36.931) Prec@5 67.500 (67.695) Epoch: [29][8920/11272] Time 0.873 (0.812) Data 0.002 (0.002) Loss 2.4049 (2.5952) Prec@1 36.875 (36.931) Prec@5 69.375 (67.695) Epoch: [29][8930/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.4413 (2.5953) Prec@1 41.875 (36.932) Prec@5 69.375 (67.693) Epoch: [29][8940/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.6601 (2.5953) Prec@1 36.250 (36.932) Prec@5 63.750 (67.692) Epoch: [29][8950/11272] Time 0.846 (0.812) Data 0.001 (0.002) Loss 2.6294 (2.5952) Prec@1 38.125 (36.934) Prec@5 70.000 (67.694) Epoch: [29][8960/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.4626 (2.5952) Prec@1 35.000 (36.933) Prec@5 66.250 (67.693) Epoch: [29][8970/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.8075 (2.5953) Prec@1 36.250 (36.932) Prec@5 67.500 (67.693) Epoch: [29][8980/11272] Time 0.834 (0.812) Data 0.002 (0.002) Loss 2.6451 (2.5952) Prec@1 33.750 (36.932) Prec@5 64.375 (67.694) Epoch: [29][8990/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.3240 (2.5952) Prec@1 43.750 (36.932) Prec@5 74.375 (67.695) Epoch: [29][9000/11272] Time 0.738 (0.812) Data 0.001 (0.002) Loss 2.4483 (2.5951) Prec@1 41.250 (36.934) Prec@5 69.375 (67.696) Epoch: [29][9010/11272] Time 0.738 (0.812) Data 0.001 (0.002) Loss 2.3181 (2.5951) Prec@1 39.375 (36.935) Prec@5 72.500 (67.696) Epoch: [29][9020/11272] Time 0.867 (0.812) Data 0.002 (0.002) Loss 2.5441 (2.5952) Prec@1 36.875 (36.933) Prec@5 71.250 (67.694) Epoch: [29][9030/11272] Time 0.839 (0.812) Data 0.002 (0.002) Loss 3.0224 (2.5953) Prec@1 31.250 (36.933) Prec@5 60.000 (67.692) Epoch: [29][9040/11272] Time 0.797 (0.812) Data 0.002 (0.002) Loss 2.3544 (2.5952) Prec@1 41.875 (36.934) Prec@5 74.375 (67.693) Epoch: [29][9050/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 2.4432 (2.5952) Prec@1 37.500 (36.932) Prec@5 66.250 (67.691) Epoch: [29][9060/11272] Time 0.906 (0.812) Data 0.002 (0.002) Loss 2.8243 (2.5952) Prec@1 31.875 (36.932) Prec@5 66.250 (67.693) Epoch: [29][9070/11272] Time 0.734 (0.812) Data 0.003 (0.002) Loss 2.8564 (2.5953) Prec@1 33.750 (36.931) Prec@5 64.375 (67.692) Epoch: [29][9080/11272] Time 0.795 (0.812) Data 0.002 (0.002) Loss 2.6071 (2.5953) Prec@1 36.250 (36.931) Prec@5 70.000 (67.691) Epoch: [29][9090/11272] Time 0.861 (0.812) Data 0.002 (0.002) Loss 2.5811 (2.5953) Prec@1 38.750 (36.931) Prec@5 68.750 (67.692) Epoch: [29][9100/11272] Time 0.837 (0.812) Data 0.003 (0.002) Loss 2.3585 (2.5954) Prec@1 36.875 (36.929) Prec@5 72.500 (67.690) Epoch: [29][9110/11272] Time 0.800 (0.812) Data 0.002 (0.002) Loss 2.6102 (2.5954) Prec@1 40.000 (36.930) Prec@5 68.125 (67.690) Epoch: [29][9120/11272] Time 0.733 (0.812) Data 0.002 (0.002) Loss 2.5451 (2.5953) Prec@1 41.250 (36.932) Prec@5 67.500 (67.691) Epoch: [29][9130/11272] Time 0.892 (0.812) Data 0.002 (0.002) Loss 2.6249 (2.5953) Prec@1 38.750 (36.933) Prec@5 66.875 (67.691) Epoch: [29][9140/11272] Time 0.830 (0.812) Data 0.002 (0.002) Loss 2.6310 (2.5953) Prec@1 33.750 (36.932) Prec@5 67.500 (67.691) Epoch: [29][9150/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.5674 (2.5953) Prec@1 36.875 (36.933) Prec@5 70.000 (67.691) Epoch: [29][9160/11272] Time 0.768 (0.812) Data 0.002 (0.002) Loss 2.4641 (2.5953) Prec@1 36.875 (36.932) Prec@5 69.375 (67.690) Epoch: [29][9170/11272] Time 0.820 (0.812) Data 0.001 (0.002) Loss 2.5392 (2.5952) Prec@1 40.000 (36.932) Prec@5 67.500 (67.689) Epoch: [29][9180/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 2.6151 (2.5953) Prec@1 35.000 (36.931) Prec@5 65.625 (67.689) Epoch: [29][9190/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 2.5024 (2.5953) Prec@1 39.375 (36.931) Prec@5 66.875 (67.689) Epoch: [29][9200/11272] Time 0.836 (0.812) Data 0.002 (0.002) Loss 2.4837 (2.5953) Prec@1 40.000 (36.933) Prec@5 70.625 (67.690) Epoch: [29][9210/11272] Time 0.910 (0.812) Data 0.002 (0.002) Loss 2.7035 (2.5954) Prec@1 38.125 (36.930) Prec@5 62.500 (67.688) Epoch: [29][9220/11272] Time 0.809 (0.812) Data 0.002 (0.002) Loss 2.7251 (2.5954) Prec@1 37.500 (36.930) Prec@5 61.875 (67.686) Epoch: [29][9230/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 2.5405 (2.5953) Prec@1 37.500 (36.934) Prec@5 68.125 (67.686) Epoch: [29][9240/11272] Time 0.873 (0.812) Data 0.001 (0.002) Loss 2.3477 (2.5952) Prec@1 42.500 (36.934) Prec@5 71.250 (67.688) Epoch: [29][9250/11272] Time 0.905 (0.812) Data 0.002 (0.002) Loss 2.3537 (2.5952) Prec@1 40.625 (36.935) Prec@5 74.375 (67.689) Epoch: [29][9260/11272] Time 0.794 (0.812) Data 0.002 (0.002) Loss 2.5987 (2.5953) Prec@1 38.750 (36.935) Prec@5 70.000 (67.687) Epoch: [29][9270/11272] Time 0.735 (0.812) Data 0.002 (0.002) Loss 2.6608 (2.5953) Prec@1 37.500 (36.933) Prec@5 70.000 (67.688) Epoch: [29][9280/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 2.2585 (2.5952) Prec@1 45.000 (36.935) Prec@5 72.500 (67.689) Epoch: [29][9290/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.5799 (2.5953) Prec@1 32.500 (36.935) Prec@5 70.625 (67.690) Epoch: [29][9300/11272] Time 0.806 (0.812) Data 0.002 (0.002) Loss 2.4625 (2.5952) Prec@1 41.875 (36.938) Prec@5 66.875 (67.691) Epoch: [29][9310/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.5655 (2.5952) Prec@1 36.875 (36.937) Prec@5 67.500 (67.691) Epoch: [29][9320/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.5947 (2.5951) Prec@1 33.750 (36.938) Prec@5 71.250 (67.692) Epoch: [29][9330/11272] Time 0.815 (0.812) Data 0.001 (0.002) Loss 2.4163 (2.5951) Prec@1 41.875 (36.939) Prec@5 72.500 (67.692) Epoch: [29][9340/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.2837 (2.5950) Prec@1 41.250 (36.942) Prec@5 71.875 (67.694) Epoch: [29][9350/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.5413 (2.5950) Prec@1 35.625 (36.942) Prec@5 66.250 (67.695) Epoch: [29][9360/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 2.5288 (2.5948) Prec@1 42.500 (36.944) Prec@5 69.375 (67.695) Epoch: [29][9370/11272] Time 0.794 (0.812) Data 0.002 (0.002) Loss 2.5221 (2.5950) Prec@1 41.250 (36.941) Prec@5 68.750 (67.693) Epoch: [29][9380/11272] Time 0.762 (0.812) Data 0.001 (0.002) Loss 2.4291 (2.5950) Prec@1 40.000 (36.941) Prec@5 70.625 (67.693) Epoch: [29][9390/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.5189 (2.5950) Prec@1 39.375 (36.941) Prec@5 71.250 (67.694) Epoch: [29][9400/11272] Time 0.828 (0.812) Data 0.001 (0.002) Loss 2.4522 (2.5950) Prec@1 40.625 (36.939) Prec@5 68.750 (67.694) Epoch: [29][9410/11272] Time 0.778 (0.812) Data 0.002 (0.002) Loss 2.7947 (2.5950) Prec@1 30.000 (36.938) Prec@5 64.375 (67.694) Epoch: [29][9420/11272] Time 0.771 (0.812) Data 0.003 (0.002) Loss 2.3419 (2.5949) Prec@1 39.375 (36.938) Prec@5 73.750 (67.696) Epoch: [29][9430/11272] Time 0.941 (0.812) Data 0.002 (0.002) Loss 2.5147 (2.5950) Prec@1 40.000 (36.937) Prec@5 68.125 (67.695) Epoch: [29][9440/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.6748 (2.5949) Prec@1 38.125 (36.940) Prec@5 66.875 (67.697) Epoch: [29][9450/11272] Time 0.733 (0.812) Data 0.002 (0.002) Loss 2.5323 (2.5949) Prec@1 41.875 (36.940) Prec@5 70.625 (67.698) Epoch: [29][9460/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.9145 (2.5949) Prec@1 34.375 (36.940) Prec@5 61.250 (67.697) Epoch: [29][9470/11272] Time 1.009 (0.812) Data 0.002 (0.002) Loss 2.6727 (2.5950) Prec@1 35.000 (36.939) Prec@5 65.625 (67.697) Epoch: [29][9480/11272] Time 0.735 (0.812) Data 0.001 (0.002) Loss 2.7256 (2.5950) Prec@1 35.625 (36.937) Prec@5 62.500 (67.696) Epoch: [29][9490/11272] Time 0.774 (0.812) Data 0.001 (0.002) Loss 2.4717 (2.5950) Prec@1 40.000 (36.939) Prec@5 69.375 (67.698) Epoch: [29][9500/11272] Time 0.839 (0.812) Data 0.001 (0.002) Loss 2.3791 (2.5949) Prec@1 31.250 (36.938) Prec@5 70.625 (67.699) Epoch: [29][9510/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 2.5199 (2.5950) Prec@1 36.875 (36.937) Prec@5 68.125 (67.698) Epoch: [29][9520/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 2.5110 (2.5950) Prec@1 38.750 (36.936) Prec@5 68.125 (67.696) Epoch: [29][9530/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.6343 (2.5950) Prec@1 35.625 (36.936) Prec@5 68.750 (67.695) Epoch: [29][9540/11272] Time 0.843 (0.812) Data 0.002 (0.002) Loss 2.5332 (2.5950) Prec@1 40.000 (36.936) Prec@5 69.375 (67.695) Epoch: [29][9550/11272] Time 0.843 (0.812) Data 0.001 (0.002) Loss 2.4656 (2.5950) Prec@1 38.125 (36.935) Prec@5 70.625 (67.696) Epoch: [29][9560/11272] Time 0.740 (0.812) Data 0.001 (0.002) Loss 2.7441 (2.5950) Prec@1 34.375 (36.935) Prec@5 62.500 (67.694) Epoch: [29][9570/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.4845 (2.5949) Prec@1 39.375 (36.937) Prec@5 71.250 (67.696) Epoch: [29][9580/11272] Time 0.839 (0.812) Data 0.002 (0.002) Loss 2.7156 (2.5950) Prec@1 35.625 (36.937) Prec@5 66.250 (67.695) Epoch: [29][9590/11272] Time 0.849 (0.812) Data 0.001 (0.002) Loss 2.4209 (2.5949) Prec@1 42.500 (36.938) Prec@5 69.375 (67.695) Epoch: [29][9600/11272] Time 0.767 (0.812) Data 0.002 (0.002) Loss 2.6444 (2.5949) Prec@1 39.375 (36.940) Prec@5 66.250 (67.697) Epoch: [29][9610/11272] Time 0.938 (0.812) Data 0.002 (0.002) Loss 2.8189 (2.5950) Prec@1 33.125 (36.940) Prec@5 60.000 (67.695) Epoch: [29][9620/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 2.5270 (2.5951) Prec@1 43.750 (36.939) Prec@5 66.875 (67.692) Epoch: [29][9630/11272] Time 0.806 (0.812) Data 0.002 (0.002) Loss 2.5719 (2.5950) Prec@1 38.750 (36.941) Prec@5 71.875 (67.694) Epoch: [29][9640/11272] Time 0.753 (0.812) Data 0.001 (0.002) Loss 2.5435 (2.5950) Prec@1 38.750 (36.941) Prec@5 66.875 (67.695) Epoch: [29][9650/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.6277 (2.5950) Prec@1 35.000 (36.941) Prec@5 68.750 (67.695) Epoch: [29][9660/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.4608 (2.5950) Prec@1 40.625 (36.941) Prec@5 73.125 (67.694) Epoch: [29][9670/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.7683 (2.5950) Prec@1 32.500 (36.941) Prec@5 67.500 (67.694) Epoch: [29][9680/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.6617 (2.5951) Prec@1 34.375 (36.941) Prec@5 66.875 (67.693) Epoch: [29][9690/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.6314 (2.5951) Prec@1 31.875 (36.940) Prec@5 66.875 (67.693) Epoch: [29][9700/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.7299 (2.5951) Prec@1 34.375 (36.941) Prec@5 67.500 (67.694) Epoch: [29][9710/11272] Time 0.782 (0.812) Data 0.002 (0.002) Loss 2.9402 (2.5952) Prec@1 27.500 (36.939) Prec@5 63.125 (67.692) Epoch: [29][9720/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.6258 (2.5952) Prec@1 36.875 (36.941) Prec@5 67.500 (67.693) Epoch: [29][9730/11272] Time 0.840 (0.812) Data 0.001 (0.002) Loss 2.7928 (2.5952) Prec@1 36.250 (36.939) Prec@5 65.000 (67.692) Epoch: [29][9740/11272] Time 0.726 (0.812) Data 0.004 (0.002) Loss 2.5333 (2.5953) Prec@1 36.875 (36.936) Prec@5 67.500 (67.691) Epoch: [29][9750/11272] Time 0.749 (0.812) Data 0.001 (0.002) Loss 2.7753 (2.5953) Prec@1 28.750 (36.934) Prec@5 61.250 (67.690) Epoch: [29][9760/11272] Time 0.878 (0.812) Data 0.002 (0.002) Loss 2.7188 (2.5954) Prec@1 37.500 (36.932) Prec@5 66.250 (67.690) Epoch: [29][9770/11272] Time 0.859 (0.812) Data 0.001 (0.002) Loss 2.6864 (2.5954) Prec@1 35.625 (36.932) Prec@5 66.875 (67.689) Epoch: [29][9780/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.7574 (2.5954) Prec@1 34.375 (36.933) Prec@5 61.875 (67.690) Epoch: [29][9790/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.7753 (2.5954) Prec@1 30.625 (36.933) Prec@5 65.000 (67.690) Epoch: [29][9800/11272] Time 0.850 (0.812) Data 0.002 (0.002) Loss 2.4998 (2.5954) Prec@1 36.250 (36.933) Prec@5 70.000 (67.689) Epoch: [29][9810/11272] Time 0.827 (0.812) Data 0.002 (0.002) Loss 2.8356 (2.5955) Prec@1 34.375 (36.932) Prec@5 66.250 (67.689) Epoch: [29][9820/11272] Time 0.842 (0.812) Data 0.002 (0.002) Loss 3.0397 (2.5955) Prec@1 33.125 (36.932) Prec@5 55.000 (67.688) Epoch: [29][9830/11272] Time 0.710 (0.812) Data 0.002 (0.002) Loss 2.8573 (2.5955) Prec@1 30.000 (36.932) Prec@5 61.875 (67.688) Epoch: [29][9840/11272] Time 0.874 (0.812) Data 0.002 (0.002) Loss 2.7902 (2.5955) Prec@1 35.000 (36.932) Prec@5 60.625 (67.687) Epoch: [29][9850/11272] Time 0.892 (0.812) Data 0.002 (0.002) Loss 2.4846 (2.5954) Prec@1 37.500 (36.935) Prec@5 72.500 (67.689) Epoch: [29][9860/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 2.5919 (2.5953) Prec@1 36.875 (36.935) Prec@5 68.750 (67.689) Epoch: [29][9870/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 2.2599 (2.5953) Prec@1 45.000 (36.935) Prec@5 71.250 (67.689) Epoch: [29][9880/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.5824 (2.5953) Prec@1 38.750 (36.934) Prec@5 68.750 (67.689) Epoch: [29][9890/11272] Time 0.770 (0.812) Data 0.001 (0.002) Loss 2.4135 (2.5952) Prec@1 37.500 (36.935) Prec@5 71.875 (67.691) Epoch: [29][9900/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.3784 (2.5953) Prec@1 39.375 (36.933) Prec@5 71.250 (67.689) Epoch: [29][9910/11272] Time 0.846 (0.812) Data 0.001 (0.002) Loss 2.7572 (2.5953) Prec@1 34.375 (36.934) Prec@5 64.375 (67.689) Epoch: [29][9920/11272] Time 0.850 (0.812) Data 0.002 (0.002) Loss 2.3266 (2.5952) Prec@1 43.125 (36.934) Prec@5 72.500 (67.689) Epoch: [29][9930/11272] Time 0.778 (0.812) Data 0.001 (0.002) Loss 2.7266 (2.5952) Prec@1 37.500 (36.937) Prec@5 64.375 (67.690) Epoch: [29][9940/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.7731 (2.5952) Prec@1 35.000 (36.938) Prec@5 61.875 (67.688) Epoch: [29][9950/11272] Time 0.854 (0.812) Data 0.001 (0.002) Loss 2.5495 (2.5952) Prec@1 37.500 (36.939) Prec@5 65.625 (67.688) Epoch: [29][9960/11272] Time 0.828 (0.812) Data 0.002 (0.002) Loss 2.7152 (2.5952) Prec@1 32.500 (36.938) Prec@5 66.875 (67.687) Epoch: [29][9970/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 2.6661 (2.5951) Prec@1 33.750 (36.937) Prec@5 67.500 (67.688) Epoch: [29][9980/11272] Time 0.785 (0.812) Data 0.002 (0.002) Loss 2.5181 (2.5951) Prec@1 33.750 (36.936) Prec@5 68.750 (67.687) Epoch: [29][9990/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.5721 (2.5952) Prec@1 37.500 (36.936) Prec@5 67.500 (67.687) Epoch: [29][10000/11272] Time 0.759 (0.812) Data 0.004 (0.002) Loss 2.4932 (2.5951) Prec@1 41.250 (36.937) Prec@5 68.750 (67.687) Epoch: [29][10010/11272] Time 0.729 (0.812) Data 0.002 (0.002) Loss 2.6057 (2.5951) Prec@1 36.250 (36.937) Prec@5 73.750 (67.688) Epoch: [29][10020/11272] Time 0.869 (0.812) Data 0.002 (0.002) Loss 2.7444 (2.5951) Prec@1 31.250 (36.936) Prec@5 63.750 (67.687) Epoch: [29][10030/11272] Time 0.858 (0.812) Data 0.001 (0.002) Loss 2.6641 (2.5951) Prec@1 38.750 (36.936) Prec@5 66.250 (67.688) Epoch: [29][10040/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.4954 (2.5951) Prec@1 39.375 (36.936) Prec@5 73.750 (67.688) Epoch: [29][10050/11272] Time 0.731 (0.812) Data 0.001 (0.002) Loss 2.7667 (2.5951) Prec@1 33.750 (36.937) Prec@5 63.750 (67.688) Epoch: [29][10060/11272] Time 0.874 (0.812) Data 0.001 (0.002) Loss 2.5408 (2.5952) Prec@1 36.875 (36.936) Prec@5 64.375 (67.687) Epoch: [29][10070/11272] Time 0.834 (0.812) Data 0.002 (0.002) Loss 2.7659 (2.5951) Prec@1 31.875 (36.937) Prec@5 62.500 (67.687) Epoch: [29][10080/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.7778 (2.5951) Prec@1 30.625 (36.936) Prec@5 63.125 (67.688) Epoch: [29][10090/11272] Time 0.765 (0.812) Data 0.002 (0.002) Loss 2.6057 (2.5952) Prec@1 36.875 (36.935) Prec@5 69.375 (67.687) Epoch: [29][10100/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.4772 (2.5952) Prec@1 40.000 (36.936) Prec@5 68.125 (67.686) Epoch: [29][10110/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 2.6104 (2.5953) Prec@1 36.875 (36.934) Prec@5 65.625 (67.683) Epoch: [29][10120/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.5315 (2.5953) Prec@1 41.250 (36.934) Prec@5 70.000 (67.683) Epoch: [29][10130/11272] Time 0.812 (0.812) Data 0.002 (0.002) Loss 2.6276 (2.5953) Prec@1 36.250 (36.936) Prec@5 63.750 (67.685) Epoch: [29][10140/11272] Time 0.843 (0.812) Data 0.001 (0.002) Loss 2.5620 (2.5953) Prec@1 38.125 (36.934) Prec@5 68.125 (67.686) Epoch: [29][10150/11272] Time 0.748 (0.812) Data 0.001 (0.002) Loss 2.6110 (2.5952) Prec@1 36.250 (36.934) Prec@5 67.500 (67.686) Epoch: [29][10160/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 2.2924 (2.5952) Prec@1 40.625 (36.935) Prec@5 71.250 (67.686) Epoch: [29][10170/11272] Time 0.851 (0.812) Data 0.001 (0.002) Loss 2.6179 (2.5952) Prec@1 33.750 (36.936) Prec@5 62.500 (67.685) Epoch: [29][10180/11272] Time 0.898 (0.812) Data 0.002 (0.002) Loss 2.4757 (2.5952) Prec@1 36.875 (36.935) Prec@5 68.125 (67.686) Epoch: [29][10190/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.6318 (2.5953) Prec@1 35.000 (36.934) Prec@5 66.250 (67.686) Epoch: [29][10200/11272] Time 0.778 (0.812) Data 0.002 (0.002) Loss 2.4383 (2.5952) Prec@1 35.000 (36.935) Prec@5 70.625 (67.687) Epoch: [29][10210/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.5909 (2.5953) Prec@1 33.750 (36.934) Prec@5 70.000 (67.686) Epoch: [29][10220/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 2.3286 (2.5953) Prec@1 40.625 (36.935) Prec@5 76.875 (67.686) Epoch: [29][10230/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.6314 (2.5953) Prec@1 33.750 (36.934) Prec@5 73.125 (67.687) Epoch: [29][10240/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.5788 (2.5953) Prec@1 41.250 (36.933) Prec@5 66.875 (67.686) Epoch: [29][10250/11272] Time 0.854 (0.812) Data 0.001 (0.002) Loss 2.4404 (2.5953) Prec@1 36.250 (36.933) Prec@5 69.375 (67.687) Epoch: [29][10260/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.6038 (2.5954) Prec@1 34.375 (36.931) Prec@5 66.250 (67.686) Epoch: [29][10270/11272] Time 0.775 (0.812) Data 0.002 (0.002) Loss 2.5221 (2.5954) Prec@1 38.750 (36.930) Prec@5 71.875 (67.685) Epoch: [29][10280/11272] Time 0.905 (0.812) Data 0.002 (0.002) Loss 2.3495 (2.5953) Prec@1 38.750 (36.931) Prec@5 71.250 (67.687) Epoch: [29][10290/11272] Time 0.926 (0.812) Data 0.002 (0.002) Loss 2.9488 (2.5952) Prec@1 29.375 (36.933) Prec@5 62.500 (67.688) Epoch: [29][10300/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.5775 (2.5952) Prec@1 38.125 (36.935) Prec@5 70.000 (67.690) Epoch: [29][10310/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 2.8138 (2.5951) Prec@1 35.000 (36.936) Prec@5 68.125 (67.691) Epoch: [29][10320/11272] Time 0.873 (0.812) Data 0.002 (0.002) Loss 2.7081 (2.5952) Prec@1 35.625 (36.936) Prec@5 64.375 (67.689) Epoch: [29][10330/11272] Time 0.852 (0.812) Data 0.001 (0.002) Loss 2.6218 (2.5952) Prec@1 35.625 (36.936) Prec@5 67.500 (67.689) Epoch: [29][10340/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.4620 (2.5952) Prec@1 40.000 (36.936) Prec@5 70.000 (67.689) Epoch: [29][10350/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.8662 (2.5953) Prec@1 32.500 (36.935) Prec@5 61.875 (67.689) Epoch: [29][10360/11272] Time 0.844 (0.812) Data 0.001 (0.002) Loss 2.4638 (2.5953) Prec@1 38.750 (36.934) Prec@5 73.750 (67.689) Epoch: [29][10370/11272] Time 0.829 (0.812) Data 0.002 (0.002) Loss 2.4873 (2.5952) Prec@1 38.125 (36.936) Prec@5 68.750 (67.690) Epoch: [29][10380/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.6561 (2.5952) Prec@1 40.625 (36.935) Prec@5 69.375 (67.691) Epoch: [29][10390/11272] Time 0.783 (0.812) Data 0.002 (0.002) Loss 2.2921 (2.5951) Prec@1 46.875 (36.936) Prec@5 77.500 (67.691) Epoch: [29][10400/11272] Time 0.869 (0.812) Data 0.001 (0.002) Loss 2.8351 (2.5952) Prec@1 36.875 (36.935) Prec@5 64.375 (67.690) Epoch: [29][10410/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.6306 (2.5952) Prec@1 34.375 (36.934) Prec@5 68.125 (67.690) Epoch: [29][10420/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 2.7091 (2.5952) Prec@1 35.000 (36.937) Prec@5 67.500 (67.690) Epoch: [29][10430/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.6281 (2.5952) Prec@1 37.500 (36.935) Prec@5 65.625 (67.689) Epoch: [29][10440/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.8903 (2.5953) Prec@1 31.875 (36.932) Prec@5 59.375 (67.687) Epoch: [29][10450/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 2.8447 (2.5954) Prec@1 33.125 (36.929) Prec@5 64.375 (67.687) Epoch: [29][10460/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.4271 (2.5954) Prec@1 38.750 (36.930) Prec@5 71.875 (67.688) Epoch: [29][10470/11272] Time 0.850 (0.812) Data 0.001 (0.002) Loss 2.3724 (2.5953) Prec@1 40.625 (36.930) Prec@5 71.250 (67.689) Epoch: [29][10480/11272] Time 0.817 (0.812) Data 0.002 (0.002) Loss 2.4220 (2.5953) Prec@1 46.250 (36.931) Prec@5 70.625 (67.690) Epoch: [29][10490/11272] Time 0.739 (0.812) Data 0.001 (0.002) Loss 2.8325 (2.5954) Prec@1 33.750 (36.931) Prec@5 59.375 (67.688) Epoch: [29][10500/11272] Time 0.729 (0.812) Data 0.002 (0.002) Loss 2.5988 (2.5953) Prec@1 45.000 (36.934) Prec@5 67.500 (67.690) Epoch: [29][10510/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.5770 (2.5952) Prec@1 34.375 (36.934) Prec@5 68.750 (67.691) Epoch: [29][10520/11272] Time 0.937 (0.812) Data 0.002 (0.002) Loss 2.7523 (2.5952) Prec@1 33.125 (36.935) Prec@5 65.625 (67.692) Epoch: [29][10530/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 2.3579 (2.5952) Prec@1 42.500 (36.937) Prec@5 74.375 (67.694) Epoch: [29][10540/11272] Time 0.899 (0.812) Data 0.002 (0.002) Loss 2.1594 (2.5952) Prec@1 46.875 (36.937) Prec@5 75.625 (67.693) Epoch: [29][10550/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.5764 (2.5952) Prec@1 34.375 (36.937) Prec@5 67.500 (67.693) Epoch: [29][10560/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 2.7742 (2.5953) Prec@1 38.125 (36.938) Prec@5 65.625 (67.693) Epoch: [29][10570/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.7192 (2.5953) Prec@1 37.500 (36.937) Prec@5 65.625 (67.692) Epoch: [29][10580/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 2.8942 (2.5953) Prec@1 28.750 (36.935) Prec@5 61.875 (67.692) Epoch: [29][10590/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 2.5251 (2.5953) Prec@1 34.375 (36.934) Prec@5 66.250 (67.693) Epoch: [29][10600/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.4615 (2.5953) Prec@1 38.125 (36.934) Prec@5 71.250 (67.694) Epoch: [29][10610/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 2.4200 (2.5953) Prec@1 35.000 (36.934) Prec@5 77.500 (67.693) Epoch: [29][10620/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.7237 (2.5953) Prec@1 31.875 (36.935) Prec@5 68.125 (67.694) Epoch: [29][10630/11272] Time 0.835 (0.812) Data 0.002 (0.002) Loss 2.5010 (2.5953) Prec@1 38.125 (36.938) Prec@5 69.375 (67.695) Epoch: [29][10640/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 2.6826 (2.5953) Prec@1 35.625 (36.938) Prec@5 68.125 (67.694) Epoch: [29][10650/11272] Time 0.763 (0.812) Data 0.001 (0.002) Loss 2.6960 (2.5953) Prec@1 31.250 (36.938) Prec@5 68.750 (67.694) Epoch: [29][10660/11272] Time 0.837 (0.812) Data 0.002 (0.002) Loss 2.8528 (2.5954) Prec@1 33.750 (36.938) Prec@5 61.250 (67.692) Epoch: [29][10670/11272] Time 0.745 (0.812) Data 0.004 (0.002) Loss 2.2053 (2.5955) Prec@1 44.375 (36.936) Prec@5 72.500 (67.691) Epoch: [29][10680/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.5918 (2.5955) Prec@1 33.750 (36.936) Prec@5 68.750 (67.692) Epoch: [29][10690/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.4980 (2.5954) Prec@1 43.125 (36.937) Prec@5 66.875 (67.692) Epoch: [29][10700/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.7461 (2.5955) Prec@1 31.250 (36.936) Prec@5 64.375 (67.691) Epoch: [29][10710/11272] Time 0.737 (0.812) Data 0.002 (0.002) Loss 2.9052 (2.5955) Prec@1 26.875 (36.934) Prec@5 61.250 (67.690) Epoch: [29][10720/11272] Time 0.735 (0.812) Data 0.002 (0.002) Loss 2.5046 (2.5956) Prec@1 36.875 (36.932) Prec@5 63.125 (67.689) Epoch: [29][10730/11272] Time 0.894 (0.812) Data 0.002 (0.002) Loss 2.7585 (2.5956) Prec@1 36.875 (36.933) Prec@5 63.125 (67.687) Epoch: [29][10740/11272] Time 0.824 (0.812) Data 0.001 (0.002) Loss 2.6785 (2.5956) Prec@1 41.250 (36.934) Prec@5 65.000 (67.688) Epoch: [29][10750/11272] Time 0.802 (0.812) Data 0.003 (0.002) Loss 2.4619 (2.5956) Prec@1 41.250 (36.936) Prec@5 69.375 (67.689) Epoch: [29][10760/11272] Time 0.742 (0.812) Data 0.001 (0.002) Loss 2.6912 (2.5955) Prec@1 32.500 (36.936) Prec@5 68.125 (67.691) Epoch: [29][10770/11272] Time 0.877 (0.812) Data 0.002 (0.002) Loss 2.7746 (2.5955) Prec@1 31.250 (36.936) Prec@5 65.625 (67.691) Epoch: [29][10780/11272] Time 0.849 (0.812) Data 0.002 (0.002) Loss 2.5692 (2.5955) Prec@1 40.000 (36.937) Prec@5 67.500 (67.691) Epoch: [29][10790/11272] Time 0.736 (0.812) Data 0.001 (0.002) Loss 2.6357 (2.5955) Prec@1 39.375 (36.936) Prec@5 64.375 (67.691) Epoch: [29][10800/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 2.6719 (2.5955) Prec@1 42.500 (36.937) Prec@5 66.250 (67.690) Epoch: [29][10810/11272] Time 0.887 (0.812) Data 0.001 (0.002) Loss 2.8851 (2.5955) Prec@1 29.375 (36.936) Prec@5 60.625 (67.689) Epoch: [29][10820/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.6343 (2.5956) Prec@1 35.625 (36.937) Prec@5 66.250 (67.689) Epoch: [29][10830/11272] Time 0.748 (0.812) Data 0.001 (0.002) Loss 2.5355 (2.5955) Prec@1 42.500 (36.938) Prec@5 68.750 (67.689) Epoch: [29][10840/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 2.6831 (2.5955) Prec@1 34.375 (36.938) Prec@5 66.250 (67.690) Epoch: [29][10850/11272] Time 0.844 (0.812) Data 0.001 (0.002) Loss 2.5709 (2.5955) Prec@1 38.750 (36.937) Prec@5 70.000 (67.690) Epoch: [29][10860/11272] Time 0.802 (0.812) Data 0.002 (0.002) Loss 2.6787 (2.5956) Prec@1 35.625 (36.936) Prec@5 66.250 (67.689) Epoch: [29][10870/11272] Time 0.762 (0.812) Data 0.002 (0.002) Loss 2.6389 (2.5955) Prec@1 31.250 (36.937) Prec@5 65.000 (67.690) Epoch: [29][10880/11272] Time 0.876 (0.812) Data 0.001 (0.002) Loss 2.6520 (2.5955) Prec@1 36.250 (36.937) Prec@5 65.000 (67.689) Epoch: [29][10890/11272] Time 0.854 (0.812) Data 0.002 (0.002) Loss 2.6358 (2.5955) Prec@1 33.125 (36.936) Prec@5 66.875 (67.690) Epoch: [29][10900/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.5161 (2.5955) Prec@1 39.375 (36.938) Prec@5 68.125 (67.690) Epoch: [29][10910/11272] Time 0.723 (0.812) Data 0.002 (0.002) Loss 2.5692 (2.5955) Prec@1 33.125 (36.939) Prec@5 64.375 (67.689) Epoch: [29][10920/11272] Time 0.893 (0.812) Data 0.002 (0.002) Loss 2.4201 (2.5955) Prec@1 36.250 (36.940) Prec@5 73.750 (67.690) Epoch: [29][10930/11272] Time 0.741 (0.812) Data 0.003 (0.002) Loss 2.8485 (2.5954) Prec@1 30.625 (36.939) Prec@5 64.375 (67.692) Epoch: [29][10940/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.5345 (2.5954) Prec@1 39.375 (36.939) Prec@5 67.500 (67.692) Epoch: [29][10950/11272] Time 0.838 (0.812) Data 0.002 (0.002) Loss 2.5306 (2.5954) Prec@1 38.125 (36.941) Prec@5 70.000 (67.693) Epoch: [29][10960/11272] Time 0.851 (0.812) Data 0.002 (0.002) Loss 2.6586 (2.5954) Prec@1 36.250 (36.940) Prec@5 63.125 (67.692) Epoch: [29][10970/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.7388 (2.5954) Prec@1 36.250 (36.941) Prec@5 61.250 (67.692) Epoch: [29][10980/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.5801 (2.5953) Prec@1 37.500 (36.944) Prec@5 68.125 (67.694) Epoch: [29][10990/11272] Time 0.897 (0.812) Data 0.002 (0.002) Loss 2.7913 (2.5953) Prec@1 31.875 (36.946) Prec@5 63.750 (67.694) Epoch: [29][11000/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.4924 (2.5953) Prec@1 40.000 (36.948) Prec@5 66.875 (67.694) Epoch: [29][11010/11272] Time 0.735 (0.812) Data 0.002 (0.002) Loss 2.7154 (2.5952) Prec@1 38.750 (36.949) Prec@5 63.750 (67.694) Epoch: [29][11020/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 2.7269 (2.5953) Prec@1 33.750 (36.947) Prec@5 66.875 (67.694) Epoch: [29][11030/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.5070 (2.5954) Prec@1 41.250 (36.947) Prec@5 68.750 (67.692) Epoch: [29][11040/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 2.6789 (2.5955) Prec@1 36.250 (36.944) Prec@5 65.625 (67.690) Epoch: [29][11050/11272] Time 0.730 (0.812) Data 0.001 (0.002) Loss 2.3819 (2.5955) Prec@1 40.625 (36.943) Prec@5 73.125 (67.691) Epoch: [29][11060/11272] Time 0.839 (0.812) Data 0.002 (0.002) Loss 2.6458 (2.5955) Prec@1 38.125 (36.943) Prec@5 66.250 (67.691) Epoch: [29][11070/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.5205 (2.5955) Prec@1 41.250 (36.943) Prec@5 70.625 (67.690) Epoch: [29][11080/11272] Time 0.745 (0.812) Data 0.001 (0.002) Loss 2.7116 (2.5955) Prec@1 36.875 (36.943) Prec@5 64.375 (67.691) Epoch: [29][11090/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.4714 (2.5955) Prec@1 41.250 (36.944) Prec@5 71.250 (67.692) Epoch: [29][11100/11272] Time 0.853 (0.812) Data 0.002 (0.002) Loss 2.8837 (2.5954) Prec@1 33.750 (36.946) Prec@5 66.875 (67.692) Epoch: [29][11110/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 2.8098 (2.5955) Prec@1 32.500 (36.945) Prec@5 65.000 (67.690) Epoch: [29][11120/11272] Time 0.729 (0.812) Data 0.002 (0.002) Loss 2.6003 (2.5955) Prec@1 39.375 (36.945) Prec@5 68.750 (67.689) Epoch: [29][11130/11272] Time 0.728 (0.812) Data 0.002 (0.002) Loss 2.4590 (2.5954) Prec@1 42.500 (36.946) Prec@5 74.375 (67.691) Epoch: [29][11140/11272] Time 0.858 (0.812) Data 0.002 (0.002) Loss 2.4805 (2.5953) Prec@1 40.625 (36.948) Prec@5 68.750 (67.692) Epoch: [29][11150/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.7771 (2.5954) Prec@1 32.500 (36.947) Prec@5 67.500 (67.693) Epoch: [29][11160/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.3918 (2.5953) Prec@1 41.250 (36.948) Prec@5 76.250 (67.694) Epoch: [29][11170/11272] Time 0.765 (0.812) Data 0.002 (0.002) Loss 2.2861 (2.5953) Prec@1 42.500 (36.950) Prec@5 75.625 (67.695) Epoch: [29][11180/11272] Time 0.851 (0.812) Data 0.002 (0.002) Loss 2.5284 (2.5952) Prec@1 38.750 (36.952) Prec@5 68.750 (67.695) Epoch: [29][11190/11272] Time 0.820 (0.812) Data 0.002 (0.002) Loss 2.7150 (2.5953) Prec@1 34.375 (36.950) Prec@5 70.625 (67.694) Epoch: [29][11200/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.2770 (2.5952) Prec@1 40.000 (36.949) Prec@5 75.000 (67.696) Epoch: [29][11210/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 2.5310 (2.5953) Prec@1 35.625 (36.948) Prec@5 68.125 (67.694) Epoch: [29][11220/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.7420 (2.5953) Prec@1 33.125 (36.945) Prec@5 58.125 (67.693) Epoch: [29][11230/11272] Time 0.768 (0.812) Data 0.002 (0.002) Loss 2.7336 (2.5954) Prec@1 34.375 (36.943) Prec@5 67.500 (67.691) Epoch: [29][11240/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.2749 (2.5954) Prec@1 46.875 (36.943) Prec@5 71.875 (67.691) Epoch: [29][11250/11272] Time 0.841 (0.812) Data 0.001 (0.002) Loss 2.4977 (2.5954) Prec@1 36.875 (36.942) Prec@5 68.125 (67.689) Epoch: [29][11260/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.7706 (2.5955) Prec@1 37.500 (36.941) Prec@5 66.875 (67.690) Epoch: [29][11270/11272] Time 0.730 (0.812) Data 0.000 (0.002) Loss 2.6878 (2.5955) Prec@1 39.375 (36.941) Prec@5 65.000 (67.688) Test: [0/229] Time 1.545 (1.545) Loss 1.0246 (1.0246) Prec@1 66.875 (66.875) Prec@5 94.375 (94.375) Test: [10/229] Time 0.466 (0.499) Loss 1.4886 (2.1946) Prec@1 52.500 (43.295) Prec@5 92.500 (77.216) Test: [20/229] Time 0.366 (0.446) Loss 2.9174 (2.2517) Prec@1 31.250 (42.530) Prec@5 60.000 (75.298) Test: [30/229] Time 0.425 (0.430) Loss 2.7781 (2.2198) Prec@1 31.250 (43.710) Prec@5 63.125 (75.040) Test: [40/229] Time 0.352 (0.418) Loss 0.8862 (2.2305) Prec@1 81.875 (43.415) Prec@5 88.125 (74.924) Test: [50/229] Time 0.361 (0.413) Loss 2.9228 (2.2929) Prec@1 20.000 (42.304) Prec@5 65.625 (73.934) Test: [60/229] Time 0.395 (0.410) Loss 3.4479 (2.2888) Prec@1 13.125 (42.131) Prec@5 50.625 (73.689) Test: [70/229] Time 0.355 (0.407) Loss 1.7476 (2.3146) Prec@1 53.125 (41.611) Prec@5 83.750 (73.204) Test: [80/229] Time 0.444 (0.407) Loss 2.7757 (2.3165) Prec@1 25.000 (41.474) Prec@5 65.000 (73.279) Test: [90/229] Time 0.353 (0.406) Loss 1.8721 (2.3177) Prec@1 56.250 (41.525) Prec@5 78.125 (73.571) Test: [100/229] Time 0.444 (0.404) Loss 3.0372 (2.3243) Prec@1 22.500 (41.287) Prec@5 63.125 (73.676) Test: [110/229] Time 0.445 (0.402) Loss 1.5748 (2.2908) Prec@1 61.250 (41.858) Prec@5 85.000 (74.381) Test: [120/229] Time 0.346 (0.401) Loss 3.7685 (2.3287) Prec@1 14.375 (40.966) Prec@5 46.250 (73.750) Test: [130/229] Time 0.375 (0.401) Loss 1.4810 (2.3104) Prec@1 58.125 (41.531) Prec@5 85.000 (73.907) Test: [140/229] Time 0.336 (0.401) Loss 2.2489 (2.3246) Prec@1 40.000 (41.166) Prec@5 76.250 (73.772) Test: [150/229] Time 0.392 (0.399) Loss 1.3925 (2.3412) Prec@1 69.375 (40.898) Prec@5 85.625 (73.440) Test: [160/229] Time 0.334 (0.398) Loss 2.2426 (2.3443) Prec@1 49.375 (40.932) Prec@5 85.625 (73.467) Test: [170/229] Time 0.379 (0.398) Loss 2.3790 (2.3504) Prec@1 36.250 (40.691) Prec@5 78.125 (73.432) Test: [180/229] Time 0.423 (0.397) Loss 2.9861 (2.3525) Prec@1 22.500 (40.825) Prec@5 61.875 (73.353) Test: [190/229] Time 0.338 (0.396) Loss 1.8578 (2.3408) Prec@1 55.000 (41.207) Prec@5 86.250 (73.590) Test: [200/229] Time 0.387 (0.396) Loss 1.6718 (2.3246) Prec@1 50.625 (41.480) Prec@5 84.375 (73.949) Test: [210/229] Time 0.332 (0.395) Loss 1.1270 (2.3116) Prec@1 62.500 (41.786) Prec@5 92.500 (74.227) Test: [220/229] Time 0.415 (0.395) Loss 2.0731 (2.3007) Prec@1 45.625 (42.189) Prec@5 83.125 (74.423) * Prec@1 42.594 Prec@5 74.590 Epoch: [30][0/11272] Time 3.104 (3.104) Data 2.173 (2.173) Loss 2.3756 (2.3756) Prec@1 40.625 (40.625) Prec@5 71.250 (71.250) Epoch: [30][10/11272] Time 0.768 (1.009) Data 0.002 (0.199) Loss 2.4594 (2.6342) Prec@1 40.625 (37.557) Prec@5 74.375 (67.386) Epoch: [30][20/11272] Time 0.877 (0.907) Data 0.002 (0.105) Loss 2.6881 (2.6157) Prec@1 35.000 (37.381) Prec@5 65.625 (67.262) Epoch: [30][30/11272] Time 0.916 (0.876) Data 0.002 (0.072) Loss 2.4357 (2.5943) Prec@1 35.000 (37.258) Prec@5 69.375 (67.560) Epoch: [30][40/11272] Time 0.738 (0.860) Data 0.002 (0.055) Loss 2.2976 (2.5603) Prec@1 43.125 (37.591) Prec@5 73.125 (67.896) Epoch: [30][50/11272] Time 0.748 (0.852) Data 0.002 (0.044) Loss 2.1226 (2.5190) Prec@1 48.750 (38.468) Prec@5 80.000 (68.738) Epoch: [30][60/11272] Time 0.907 (0.846) Data 0.002 (0.037) Loss 2.4290 (2.4978) Prec@1 36.250 (38.934) Prec@5 68.125 (69.191) Epoch: [30][70/11272] Time 0.827 (0.840) Data 0.001 (0.032) Loss 2.5395 (2.4849) Prec@1 38.125 (39.190) Prec@5 69.375 (69.621) Epoch: [30][80/11272] Time 0.743 (0.834) Data 0.002 (0.029) Loss 2.3996 (2.4839) Prec@1 43.125 (39.074) Prec@5 70.625 (69.514) Epoch: [30][90/11272] Time 0.757 (0.830) Data 0.002 (0.026) Loss 2.2352 (2.4688) Prec@1 41.250 (39.354) Prec@5 71.875 (69.883) Epoch: [30][100/11272] Time 0.879 (0.828) Data 0.002 (0.023) Loss 2.5032 (2.4602) Prec@1 40.000 (39.567) Prec@5 71.250 (69.994) Epoch: [30][110/11272] Time 0.958 (0.827) Data 0.002 (0.021) Loss 2.4790 (2.4593) Prec@1 37.500 (39.527) Prec@5 70.000 (70.028) Epoch: [30][120/11272] Time 0.754 (0.825) Data 0.002 (0.020) Loss 2.5263 (2.4500) Prec@1 41.250 (39.649) Prec@5 70.625 (70.289) Epoch: [30][130/11272] Time 0.814 (0.823) Data 0.001 (0.018) Loss 2.4077 (2.4515) Prec@1 40.000 (39.537) Prec@5 71.875 (70.272) Epoch: [30][140/11272] Time 0.827 (0.822) Data 0.001 (0.017) Loss 2.5574 (2.4535) Prec@1 44.375 (39.632) Prec@5 71.250 (70.195) Epoch: [30][150/11272] Time 0.747 (0.821) Data 0.002 (0.016) Loss 2.3786 (2.4490) Prec@1 40.625 (39.793) Prec@5 75.000 (70.294) Epoch: [30][160/11272] Time 0.740 (0.820) Data 0.002 (0.015) Loss 2.5173 (2.4479) Prec@1 44.375 (39.798) Prec@5 68.125 (70.283) Epoch: [30][170/11272] Time 0.852 (0.820) Data 0.001 (0.014) Loss 2.3426 (2.4426) Prec@1 42.500 (39.894) Prec@5 75.000 (70.420) Epoch: [30][180/11272] Time 0.870 (0.819) Data 0.002 (0.014) Loss 2.1742 (2.4406) Prec@1 47.500 (39.979) Prec@5 74.375 (70.432) Epoch: [30][190/11272] Time 0.733 (0.817) Data 0.002 (0.013) Loss 2.3156 (2.4326) Prec@1 38.750 (40.108) Prec@5 73.125 (70.658) Epoch: [30][200/11272] Time 0.740 (0.816) Data 0.002 (0.013) Loss 2.2299 (2.4299) Prec@1 44.375 (40.146) Prec@5 76.250 (70.706) Epoch: [30][210/11272] Time 0.887 (0.816) Data 0.001 (0.012) Loss 2.2824 (2.4239) Prec@1 43.125 (40.314) Prec@5 74.375 (70.788) Epoch: [30][220/11272] Time 0.834 (0.816) Data 0.001 (0.012) Loss 2.1385 (2.4171) Prec@1 48.125 (40.518) Prec@5 77.500 (70.933) Epoch: [30][230/11272] Time 0.743 (0.815) Data 0.002 (0.011) Loss 2.0938 (2.4151) Prec@1 45.625 (40.538) Prec@5 78.750 (70.982) Epoch: [30][240/11272] Time 0.744 (0.815) Data 0.002 (0.011) Loss 2.2147 (2.4119) Prec@1 44.375 (40.594) Prec@5 71.250 (71.001) Epoch: [30][250/11272] Time 0.924 (0.815) Data 0.002 (0.010) Loss 2.2836 (2.4094) Prec@1 45.000 (40.618) Prec@5 73.125 (71.071) Epoch: [30][260/11272] Time 0.841 (0.814) Data 0.002 (0.010) Loss 2.4114 (2.4070) Prec@1 41.875 (40.649) Prec@5 71.250 (71.142) Epoch: [30][270/11272] Time 0.745 (0.814) Data 0.002 (0.010) Loss 2.4494 (2.4062) Prec@1 42.500 (40.607) Prec@5 66.875 (71.162) Epoch: [30][280/11272] Time 0.879 (0.813) Data 0.002 (0.009) Loss 2.3991 (2.4040) Prec@1 38.750 (40.667) Prec@5 70.000 (71.168) Epoch: [30][290/11272] Time 0.859 (0.813) Data 0.002 (0.009) Loss 2.4096 (2.4008) Prec@1 39.375 (40.720) Prec@5 66.875 (71.248) Epoch: [30][300/11272] Time 0.738 (0.812) Data 0.002 (0.009) Loss 2.3405 (2.4001) Prec@1 40.000 (40.710) Prec@5 76.250 (71.273) Epoch: [30][310/11272] Time 0.758 (0.812) Data 0.002 (0.009) Loss 2.3137 (2.3957) Prec@1 37.500 (40.810) Prec@5 70.625 (71.338) Epoch: [30][320/11272] Time 0.892 (0.812) Data 0.002 (0.008) Loss 2.4019 (2.3950) Prec@1 41.250 (40.808) Prec@5 72.500 (71.351) Epoch: [30][330/11272] Time 0.880 (0.813) Data 0.002 (0.008) Loss 2.2071 (2.3916) Prec@1 44.375 (40.850) Prec@5 73.750 (71.431) Epoch: [30][340/11272] Time 0.728 (0.813) Data 0.002 (0.008) Loss 2.3642 (2.3903) Prec@1 40.000 (40.872) Prec@5 71.875 (71.477) Epoch: [30][350/11272] Time 0.739 (0.813) Data 0.002 (0.008) Loss 2.1735 (2.3889) Prec@1 39.375 (40.858) Prec@5 74.375 (71.490) Epoch: [30][360/11272] Time 0.893 (0.813) Data 0.002 (0.008) Loss 2.5545 (2.3888) Prec@1 38.125 (40.855) Prec@5 69.375 (71.522) Epoch: [30][370/11272] Time 0.851 (0.813) Data 0.002 (0.008) Loss 2.3391 (2.3878) Prec@1 40.625 (40.859) Prec@5 71.875 (71.536) Epoch: [30][380/11272] Time 0.742 (0.812) Data 0.002 (0.007) Loss 2.0636 (2.3866) Prec@1 47.500 (40.910) Prec@5 78.125 (71.567) Epoch: [30][390/11272] Time 0.743 (0.812) Data 0.002 (0.007) Loss 2.3812 (2.3854) Prec@1 43.125 (40.967) Prec@5 71.875 (71.581) Epoch: [30][400/11272] Time 0.870 (0.812) Data 0.002 (0.007) Loss 2.3923 (2.3844) Prec@1 41.250 (40.973) Prec@5 69.375 (71.588) Epoch: [30][410/11272] Time 0.750 (0.812) Data 0.001 (0.007) Loss 2.2242 (2.3842) Prec@1 48.125 (40.958) Prec@5 71.250 (71.615) Epoch: [30][420/11272] Time 0.771 (0.812) Data 0.002 (0.007) Loss 2.0660 (2.3813) Prec@1 50.625 (41.050) Prec@5 79.375 (71.654) Epoch: [30][430/11272] Time 0.856 (0.812) Data 0.002 (0.007) Loss 2.3337 (2.3795) Prec@1 45.625 (41.122) Prec@5 73.125 (71.705) Epoch: [30][440/11272] Time 0.882 (0.812) Data 0.002 (0.007) Loss 2.2300 (2.3773) Prec@1 38.750 (41.164) Prec@5 73.750 (71.730) Epoch: [30][450/11272] Time 0.784 (0.812) Data 0.002 (0.007) Loss 2.2070 (2.3784) Prec@1 46.875 (41.138) Prec@5 75.000 (71.720) Epoch: [30][460/11272] Time 0.743 (0.812) Data 0.002 (0.006) Loss 2.4255 (2.3777) Prec@1 40.625 (41.154) Prec@5 71.875 (71.719) Epoch: [30][470/11272] Time 0.941 (0.812) Data 0.002 (0.006) Loss 2.3786 (2.3751) Prec@1 40.625 (41.194) Prec@5 71.250 (71.777) Epoch: [30][480/11272] Time 0.842 (0.812) Data 0.002 (0.006) Loss 2.3951 (2.3744) Prec@1 41.250 (41.198) Prec@5 70.000 (71.800) Epoch: [30][490/11272] Time 0.813 (0.811) Data 0.002 (0.006) Loss 2.2917 (2.3726) Prec@1 41.250 (41.218) Prec@5 71.875 (71.827) Epoch: [30][500/11272] Time 0.772 (0.811) Data 0.003 (0.006) Loss 2.6021 (2.3715) Prec@1 35.625 (41.260) Prec@5 68.750 (71.864) Epoch: [30][510/11272] Time 0.847 (0.811) Data 0.002 (0.006) Loss 2.3556 (2.3717) Prec@1 44.375 (41.267) Prec@5 70.000 (71.855) Epoch: [30][520/11272] Time 0.828 (0.811) Data 0.002 (0.006) Loss 2.2903 (2.3710) Prec@1 41.250 (41.270) Prec@5 76.250 (71.876) Epoch: [30][530/11272] Time 0.793 (0.811) Data 0.002 (0.006) Loss 2.4562 (2.3716) Prec@1 38.750 (41.246) Prec@5 69.375 (71.863) Epoch: [30][540/11272] Time 0.901 (0.811) Data 0.001 (0.006) Loss 2.3253 (2.3701) Prec@1 39.375 (41.262) Prec@5 73.750 (71.900) Epoch: [30][550/11272] Time 0.915 (0.811) Data 0.002 (0.006) Loss 2.1307 (2.3685) Prec@1 51.250 (41.315) Prec@5 75.000 (71.915) Epoch: [30][560/11272] Time 0.749 (0.811) Data 0.002 (0.006) Loss 2.0371 (2.3667) Prec@1 41.875 (41.338) Prec@5 78.750 (71.959) Epoch: [30][570/11272] Time 0.732 (0.811) Data 0.002 (0.006) Loss 2.4188 (2.3653) Prec@1 36.875 (41.371) Prec@5 73.750 (71.981) Epoch: [30][580/11272] Time 0.855 (0.811) Data 0.002 (0.005) Loss 2.4504 (2.3648) Prec@1 36.250 (41.370) Prec@5 70.000 (72.002) Epoch: [30][590/11272] Time 0.888 (0.811) Data 0.002 (0.005) Loss 2.3495 (2.3627) Prec@1 43.125 (41.423) Prec@5 72.500 (72.038) Epoch: [30][600/11272] Time 0.745 (0.811) Data 0.002 (0.005) Loss 2.2595 (2.3599) Prec@1 45.000 (41.465) Prec@5 71.875 (72.102) Epoch: [30][610/11272] Time 0.759 (0.811) Data 0.002 (0.005) Loss 2.5194 (2.3585) Prec@1 38.750 (41.513) Prec@5 68.125 (72.131) Epoch: [30][620/11272] Time 0.868 (0.811) Data 0.002 (0.005) Loss 2.3324 (2.3577) Prec@1 44.375 (41.530) Prec@5 70.000 (72.140) Epoch: [30][630/11272] Time 0.843 (0.811) Data 0.001 (0.005) Loss 2.1863 (2.3569) Prec@1 45.625 (41.537) Prec@5 74.375 (72.135) Epoch: [30][640/11272] Time 0.754 (0.811) Data 0.002 (0.005) Loss 2.3101 (2.3553) Prec@1 43.125 (41.567) Prec@5 75.000 (72.151) Epoch: [30][650/11272] Time 0.796 (0.811) Data 0.002 (0.005) Loss 2.3188 (2.3547) Prec@1 43.750 (41.569) Prec@5 70.000 (72.151) Epoch: [30][660/11272] Time 0.842 (0.811) Data 0.002 (0.005) Loss 2.4853 (2.3541) Prec@1 38.125 (41.575) Prec@5 70.625 (72.151) Epoch: [30][670/11272] Time 0.731 (0.811) Data 0.003 (0.005) Loss 2.1982 (2.3535) Prec@1 43.750 (41.582) Prec@5 73.125 (72.155) Epoch: [30][680/11272] Time 0.760 (0.811) Data 0.002 (0.005) Loss 2.5152 (2.3527) Prec@1 40.000 (41.592) Prec@5 68.125 (72.174) Epoch: [30][690/11272] Time 0.837 (0.811) Data 0.002 (0.005) Loss 2.2752 (2.3522) Prec@1 45.625 (41.613) Prec@5 78.750 (72.207) Epoch: [30][700/11272] Time 0.893 (0.811) Data 0.001 (0.005) Loss 2.5736 (2.3534) Prec@1 31.875 (41.581) Prec@5 74.375 (72.199) Epoch: [30][710/11272] Time 0.763 (0.811) Data 0.001 (0.005) Loss 2.1844 (2.3529) Prec@1 45.000 (41.608) Prec@5 72.500 (72.212) Epoch: [30][720/11272] Time 0.760 (0.811) Data 0.002 (0.005) Loss 2.3550 (2.3512) Prec@1 40.000 (41.640) Prec@5 71.875 (72.229) Epoch: [30][730/11272] Time 0.874 (0.811) Data 0.002 (0.005) Loss 2.1610 (2.3498) Prec@1 43.125 (41.674) Prec@5 76.875 (72.262) Epoch: [30][740/11272] Time 0.879 (0.811) Data 0.002 (0.005) Loss 2.2764 (2.3493) Prec@1 40.625 (41.687) Prec@5 73.750 (72.276) Epoch: [30][750/11272] Time 0.760 (0.811) Data 0.001 (0.005) Loss 2.5329 (2.3489) Prec@1 35.625 (41.682) Prec@5 68.125 (72.282) Epoch: [30][760/11272] Time 0.736 (0.811) Data 0.002 (0.005) Loss 2.1639 (2.3479) Prec@1 45.625 (41.707) Prec@5 75.625 (72.290) Epoch: [30][770/11272] Time 0.883 (0.810) Data 0.002 (0.005) Loss 2.3362 (2.3474) Prec@1 41.875 (41.726) Prec@5 73.125 (72.302) Epoch: [30][780/11272] Time 0.864 (0.810) Data 0.002 (0.005) Loss 2.4789 (2.3471) Prec@1 40.000 (41.722) Prec@5 72.500 (72.312) Epoch: [30][790/11272] Time 0.763 (0.810) Data 0.001 (0.004) Loss 2.2964 (2.3475) Prec@1 38.125 (41.718) Prec@5 73.125 (72.304) Epoch: [30][800/11272] Time 0.895 (0.810) Data 0.002 (0.004) Loss 2.3137 (2.3471) Prec@1 44.375 (41.721) Prec@5 74.375 (72.314) Epoch: [30][810/11272] Time 0.866 (0.810) Data 0.002 (0.004) Loss 2.1540 (2.3473) Prec@1 47.500 (41.735) Prec@5 76.875 (72.304) Epoch: [30][820/11272] Time 0.755 (0.810) Data 0.002 (0.004) Loss 2.2027 (2.3463) Prec@1 47.500 (41.757) Prec@5 78.125 (72.326) Epoch: [30][830/11272] Time 0.765 (0.810) Data 0.001 (0.004) Loss 2.4641 (2.3456) Prec@1 40.625 (41.774) Prec@5 71.875 (72.347) Epoch: [30][840/11272] Time 0.853 (0.810) Data 0.002 (0.004) Loss 2.5190 (2.3450) Prec@1 37.500 (41.795) Prec@5 68.125 (72.369) Epoch: [30][850/11272] Time 0.935 (0.810) Data 0.002 (0.004) Loss 2.4082 (2.3435) Prec@1 38.125 (41.814) Prec@5 72.500 (72.398) Epoch: [30][860/11272] Time 0.748 (0.810) Data 0.002 (0.004) Loss 2.3025 (2.3438) Prec@1 46.875 (41.818) Prec@5 74.375 (72.390) Epoch: [30][870/11272] Time 0.740 (0.810) Data 0.002 (0.004) Loss 2.1667 (2.3425) Prec@1 49.375 (41.841) Prec@5 75.000 (72.412) Epoch: [30][880/11272] Time 0.849 (0.810) Data 0.002 (0.004) Loss 2.3839 (2.3421) Prec@1 45.000 (41.835) Prec@5 70.625 (72.407) Epoch: [30][890/11272] Time 0.866 (0.810) Data 0.002 (0.004) Loss 2.3605 (2.3418) Prec@1 38.750 (41.818) Prec@5 69.375 (72.414) Epoch: [30][900/11272] Time 0.751 (0.810) Data 0.001 (0.004) Loss 2.5045 (2.3412) Prec@1 33.750 (41.825) Prec@5 71.250 (72.429) Epoch: [30][910/11272] Time 0.769 (0.810) Data 0.002 (0.004) Loss 2.2512 (2.3404) Prec@1 40.625 (41.835) Prec@5 77.500 (72.460) Epoch: [30][920/11272] Time 0.837 (0.810) Data 0.002 (0.004) Loss 2.2778 (2.3397) Prec@1 41.875 (41.853) Prec@5 73.125 (72.465) Epoch: [30][930/11272] Time 0.728 (0.810) Data 0.003 (0.004) Loss 2.4682 (2.3390) Prec@1 38.125 (41.854) Prec@5 71.875 (72.486) Epoch: [30][940/11272] Time 0.778 (0.810) Data 0.002 (0.004) Loss 2.0162 (2.3382) Prec@1 48.125 (41.878) Prec@5 78.750 (72.505) Epoch: [30][950/11272] Time 0.874 (0.810) Data 0.002 (0.004) Loss 2.1197 (2.3368) Prec@1 45.000 (41.899) Prec@5 77.500 (72.530) Epoch: [30][960/11272] Time 0.850 (0.810) Data 0.002 (0.004) Loss 2.4434 (2.3372) Prec@1 43.125 (41.890) Prec@5 68.750 (72.518) Epoch: [30][970/11272] Time 0.752 (0.810) Data 0.002 (0.004) Loss 2.0953 (2.3362) Prec@1 50.000 (41.907) Prec@5 79.375 (72.533) Epoch: [30][980/11272] Time 0.762 (0.810) Data 0.002 (0.004) Loss 2.4961 (2.3352) Prec@1 37.500 (41.932) Prec@5 68.125 (72.554) Epoch: [30][990/11272] Time 0.865 (0.810) Data 0.002 (0.004) Loss 2.3728 (2.3344) Prec@1 40.625 (41.953) Prec@5 74.375 (72.571) Epoch: [30][1000/11272] Time 0.846 (0.810) Data 0.002 (0.004) Loss 2.3942 (2.3342) Prec@1 38.750 (41.942) Prec@5 69.375 (72.561) Epoch: [30][1010/11272] Time 0.784 (0.810) Data 0.002 (0.004) Loss 2.1634 (2.3334) Prec@1 46.250 (41.955) Prec@5 75.625 (72.577) Epoch: [30][1020/11272] Time 0.742 (0.810) Data 0.002 (0.004) Loss 2.4004 (2.3320) Prec@1 42.500 (41.980) Prec@5 65.625 (72.599) Epoch: [30][1030/11272] Time 0.897 (0.810) Data 0.002 (0.004) Loss 2.0315 (2.3311) Prec@1 46.875 (41.999) Prec@5 80.000 (72.618) Epoch: [30][1040/11272] Time 0.888 (0.811) Data 0.002 (0.004) Loss 2.1161 (2.3303) Prec@1 45.625 (42.027) Prec@5 78.125 (72.629) Epoch: [30][1050/11272] Time 0.759 (0.811) Data 0.002 (0.004) Loss 2.3757 (2.3302) Prec@1 39.375 (42.033) Prec@5 72.500 (72.636) Epoch: [30][1060/11272] Time 0.855 (0.811) Data 0.002 (0.004) Loss 2.1471 (2.3296) Prec@1 46.250 (42.041) Prec@5 78.125 (72.658) Epoch: [30][1070/11272] Time 0.828 (0.811) Data 0.001 (0.004) Loss 2.3006 (2.3294) Prec@1 38.125 (42.038) Prec@5 74.375 (72.665) Epoch: [30][1080/11272] Time 0.775 (0.811) Data 0.001 (0.004) Loss 2.0612 (2.3285) Prec@1 51.875 (42.049) Prec@5 80.000 (72.682) Epoch: [30][1090/11272] Time 0.746 (0.811) Data 0.002 (0.004) Loss 2.1891 (2.3284) Prec@1 46.250 (42.062) Prec@5 70.625 (72.680) Epoch: [30][1100/11272] Time 0.903 (0.811) Data 0.002 (0.004) Loss 2.0567 (2.3274) Prec@1 48.750 (42.067) Prec@5 76.875 (72.701) Epoch: [30][1110/11272] Time 0.863 (0.811) Data 0.002 (0.004) Loss 2.1380 (2.3269) Prec@1 49.375 (42.078) Prec@5 74.375 (72.720) Epoch: [30][1120/11272] Time 0.743 (0.811) Data 0.002 (0.004) Loss 2.2133 (2.3264) Prec@1 43.750 (42.083) Prec@5 71.875 (72.724) Epoch: [30][1130/11272] Time 0.726 (0.811) Data 0.002 (0.004) Loss 2.2203 (2.3266) Prec@1 43.750 (42.085) Prec@5 73.125 (72.723) Epoch: [30][1140/11272] Time 0.853 (0.811) Data 0.002 (0.004) Loss 2.2377 (2.3260) Prec@1 42.500 (42.102) Prec@5 73.750 (72.742) Epoch: [30][1150/11272] Time 0.910 (0.810) Data 0.002 (0.004) Loss 2.1214 (2.3261) Prec@1 48.750 (42.106) Prec@5 76.250 (72.743) Epoch: [30][1160/11272] Time 0.713 (0.810) Data 0.001 (0.004) Loss 2.2639 (2.3264) Prec@1 40.625 (42.103) Prec@5 74.375 (72.735) Epoch: [30][1170/11272] Time 0.739 (0.810) Data 0.002 (0.004) Loss 2.1278 (2.3253) Prec@1 46.250 (42.108) Prec@5 70.625 (72.749) Epoch: [30][1180/11272] Time 0.812 (0.810) Data 0.001 (0.004) Loss 2.1358 (2.3253) Prec@1 48.125 (42.110) Prec@5 71.250 (72.746) Epoch: [30][1190/11272] Time 0.912 (0.810) Data 0.001 (0.004) Loss 2.2423 (2.3247) Prec@1 48.125 (42.130) Prec@5 71.875 (72.757) Epoch: [30][1200/11272] Time 0.772 (0.810) Data 0.002 (0.004) Loss 2.3531 (2.3240) Prec@1 43.750 (42.139) Prec@5 74.375 (72.775) Epoch: [30][1210/11272] Time 0.897 (0.810) Data 0.002 (0.003) Loss 2.3175 (2.3236) Prec@1 40.625 (42.140) Prec@5 75.000 (72.783) Epoch: [30][1220/11272] Time 0.838 (0.810) Data 0.002 (0.003) Loss 2.4177 (2.3236) Prec@1 42.500 (42.143) Prec@5 70.625 (72.778) Epoch: [30][1230/11272] Time 0.741 (0.810) Data 0.002 (0.003) Loss 2.2494 (2.3227) Prec@1 45.000 (42.162) Prec@5 75.000 (72.799) Epoch: [30][1240/11272] Time 0.754 (0.811) Data 0.002 (0.003) Loss 2.4193 (2.3226) Prec@1 43.125 (42.180) Prec@5 68.750 (72.792) Epoch: [30][1250/11272] Time 0.833 (0.811) Data 0.001 (0.003) Loss 2.3461 (2.3223) Prec@1 42.500 (42.193) Prec@5 71.875 (72.790) Epoch: [30][1260/11272] Time 0.907 (0.811) Data 0.002 (0.003) Loss 2.3662 (2.3221) Prec@1 40.000 (42.188) Prec@5 69.375 (72.787) Epoch: [30][1270/11272] Time 0.718 (0.811) Data 0.002 (0.003) Loss 2.2914 (2.3216) Prec@1 43.125 (42.194) Prec@5 73.750 (72.795) Epoch: [30][1280/11272] Time 0.744 (0.810) Data 0.001 (0.003) Loss 2.0837 (2.3218) Prec@1 48.125 (42.186) Prec@5 76.250 (72.791) Epoch: [30][1290/11272] Time 0.845 (0.811) Data 0.001 (0.003) Loss 2.2271 (2.3210) Prec@1 48.125 (42.210) Prec@5 68.750 (72.802) Epoch: [30][1300/11272] Time 0.840 (0.811) Data 0.001 (0.003) Loss 2.3543 (2.3211) Prec@1 42.500 (42.213) Prec@5 72.500 (72.798) Epoch: [30][1310/11272] Time 0.758 (0.810) Data 0.002 (0.003) Loss 2.2241 (2.3214) Prec@1 46.250 (42.205) Prec@5 75.625 (72.791) Epoch: [30][1320/11272] Time 0.727 (0.810) Data 0.001 (0.003) Loss 2.3207 (2.3213) Prec@1 38.750 (42.200) Prec@5 71.250 (72.795) Epoch: [30][1330/11272] Time 0.875 (0.810) Data 0.002 (0.003) Loss 2.2663 (2.3211) Prec@1 48.750 (42.207) Prec@5 74.375 (72.791) Epoch: [30][1340/11272] Time 0.733 (0.810) Data 0.001 (0.003) Loss 2.3762 (2.3207) Prec@1 41.875 (42.207) Prec@5 73.125 (72.799) Epoch: [30][1350/11272] Time 0.744 (0.810) Data 0.001 (0.003) Loss 2.2024 (2.3202) Prec@1 45.625 (42.211) Prec@5 76.875 (72.804) Epoch: [30][1360/11272] Time 0.838 (0.810) Data 0.001 (0.003) Loss 2.2838 (2.3206) Prec@1 45.000 (42.204) Prec@5 70.000 (72.798) Epoch: [30][1370/11272] Time 0.914 (0.810) Data 0.002 (0.003) Loss 2.1084 (2.3202) Prec@1 48.750 (42.216) Prec@5 77.500 (72.799) Epoch: [30][1380/11272] Time 0.748 (0.810) Data 0.002 (0.003) Loss 2.1874 (2.3197) Prec@1 42.500 (42.219) Prec@5 77.500 (72.815) Epoch: [30][1390/11272] Time 0.763 (0.810) Data 0.001 (0.003) Loss 2.0619 (2.3197) Prec@1 50.000 (42.208) Prec@5 77.500 (72.820) Epoch: [30][1400/11272] Time 0.812 (0.810) Data 0.001 (0.003) Loss 2.3462 (2.3198) Prec@1 43.125 (42.203) Prec@5 70.625 (72.815) Epoch: [30][1410/11272] Time 0.877 (0.810) Data 0.002 (0.003) Loss 2.3287 (2.3193) Prec@1 42.500 (42.219) Prec@5 75.000 (72.828) Epoch: [30][1420/11272] Time 0.765 (0.810) Data 0.002 (0.003) Loss 2.1419 (2.3186) Prec@1 47.500 (42.244) Prec@5 78.750 (72.845) Epoch: [30][1430/11272] Time 0.756 (0.810) Data 0.002 (0.003) Loss 2.2457 (2.3182) Prec@1 43.750 (42.257) Prec@5 73.750 (72.853) Epoch: [30][1440/11272] Time 0.947 (0.810) Data 0.002 (0.003) Loss 2.2743 (2.3182) Prec@1 43.750 (42.266) Prec@5 73.750 (72.854) Epoch: [30][1450/11272] Time 0.855 (0.810) Data 0.002 (0.003) Loss 2.4770 (2.3175) Prec@1 39.375 (42.283) Prec@5 69.375 (72.863) Epoch: [30][1460/11272] Time 0.753 (0.810) Data 0.002 (0.003) Loss 2.0806 (2.3169) Prec@1 46.875 (42.303) Prec@5 81.250 (72.881) Epoch: [30][1470/11272] Time 0.951 (0.811) Data 0.002 (0.003) Loss 2.1339 (2.3165) Prec@1 40.625 (42.313) Prec@5 78.125 (72.886) Epoch: [30][1480/11272] Time 0.888 (0.811) Data 0.002 (0.003) Loss 2.4912 (2.3162) Prec@1 39.375 (42.314) Prec@5 69.375 (72.894) Epoch: [30][1490/11272] Time 0.770 (0.811) Data 0.001 (0.003) Loss 2.3417 (2.3162) Prec@1 48.750 (42.334) Prec@5 72.500 (72.893) Epoch: [30][1500/11272] Time 0.742 (0.811) Data 0.002 (0.003) Loss 2.0676 (2.3154) Prec@1 47.500 (42.359) Prec@5 80.000 (72.906) Epoch: [30][1510/11272] Time 0.867 (0.811) Data 0.001 (0.003) Loss 2.2872 (2.3149) Prec@1 43.750 (42.373) Prec@5 75.000 (72.917) Epoch: [30][1520/11272] Time 0.827 (0.811) Data 0.001 (0.003) Loss 2.0281 (2.3138) Prec@1 44.375 (42.397) Prec@5 78.125 (72.936) Epoch: [30][1530/11272] Time 0.790 (0.811) Data 0.002 (0.003) Loss 2.5150 (2.3135) Prec@1 33.750 (42.401) Prec@5 66.875 (72.936) Epoch: [30][1540/11272] Time 0.746 (0.811) Data 0.002 (0.003) Loss 2.1114 (2.3134) Prec@1 45.625 (42.407) Prec@5 77.500 (72.939) Epoch: [30][1550/11272] Time 0.906 (0.811) Data 0.002 (0.003) Loss 2.2914 (2.3131) Prec@1 40.625 (42.409) Prec@5 70.000 (72.937) Epoch: [30][1560/11272] Time 0.892 (0.811) Data 0.002 (0.003) Loss 2.2158 (2.3129) Prec@1 43.750 (42.415) Prec@5 75.000 (72.938) Epoch: [30][1570/11272] Time 0.721 (0.811) Data 0.001 (0.003) Loss 2.3901 (2.3125) Prec@1 36.875 (42.420) Prec@5 73.125 (72.946) Epoch: [30][1580/11272] Time 0.727 (0.811) Data 0.001 (0.003) Loss 2.1632 (2.3123) Prec@1 47.500 (42.424) Prec@5 70.625 (72.943) Epoch: [30][1590/11272] Time 0.882 (0.811) Data 0.002 (0.003) Loss 2.3183 (2.3124) Prec@1 42.500 (42.421) Prec@5 74.375 (72.939) Epoch: [30][1600/11272] Time 0.778 (0.811) Data 0.005 (0.003) Loss 2.1380 (2.3124) Prec@1 42.500 (42.419) Prec@5 75.625 (72.937) Epoch: [30][1610/11272] Time 0.741 (0.811) Data 0.002 (0.003) Loss 2.2826 (2.3124) Prec@1 42.500 (42.415) Prec@5 71.875 (72.938) Epoch: [30][1620/11272] Time 0.858 (0.811) Data 0.002 (0.003) Loss 2.2385 (2.3121) Prec@1 48.125 (42.422) Prec@5 74.375 (72.938) Epoch: [30][1630/11272] Time 0.837 (0.811) Data 0.002 (0.003) Loss 2.1953 (2.3119) Prec@1 48.125 (42.428) Prec@5 71.250 (72.943) Epoch: [30][1640/11272] Time 0.724 (0.811) Data 0.002 (0.003) Loss 2.2915 (2.3111) Prec@1 45.000 (42.439) Prec@5 72.500 (72.952) Epoch: [30][1650/11272] Time 0.743 (0.811) Data 0.002 (0.003) Loss 2.0190 (2.3102) Prec@1 47.500 (42.458) Prec@5 79.375 (72.974) Epoch: [30][1660/11272] Time 0.870 (0.811) Data 0.002 (0.003) Loss 1.9865 (2.3096) Prec@1 46.250 (42.465) Prec@5 77.500 (72.979) Epoch: [30][1670/11272] Time 0.842 (0.811) Data 0.002 (0.003) Loss 2.1608 (2.3095) Prec@1 45.625 (42.460) Prec@5 78.125 (72.987) Epoch: [30][1680/11272] Time 0.784 (0.811) Data 0.002 (0.003) Loss 2.1418 (2.3091) Prec@1 41.250 (42.467) Prec@5 73.750 (72.989) Epoch: [30][1690/11272] Time 0.732 (0.811) Data 0.002 (0.003) Loss 2.3838 (2.3084) Prec@1 41.875 (42.486) Prec@5 70.625 (73.000) Epoch: [30][1700/11272] Time 0.899 (0.811) Data 0.002 (0.003) Loss 2.3531 (2.3087) Prec@1 40.000 (42.475) Prec@5 75.625 (73.002) Epoch: [30][1710/11272] Time 0.822 (0.811) Data 0.001 (0.003) Loss 2.3235 (2.3083) Prec@1 40.625 (42.488) Prec@5 71.875 (73.011) Epoch: [30][1720/11272] Time 0.802 (0.811) Data 0.003 (0.003) Loss 2.2226 (2.3083) Prec@1 46.875 (42.491) Prec@5 77.500 (73.011) Epoch: [30][1730/11272] Time 0.850 (0.811) Data 0.001 (0.003) Loss 2.1746 (2.3074) Prec@1 48.125 (42.514) Prec@5 73.750 (73.025) Epoch: [30][1740/11272] Time 0.871 (0.811) Data 0.001 (0.003) Loss 2.4253 (2.3070) Prec@1 39.375 (42.523) Prec@5 73.750 (73.036) Epoch: [30][1750/11272] Time 0.766 (0.811) Data 0.001 (0.003) Loss 2.1686 (2.3063) Prec@1 41.875 (42.527) Prec@5 76.250 (73.052) Epoch: [30][1760/11272] Time 0.753 (0.811) Data 0.002 (0.003) Loss 2.1557 (2.3056) Prec@1 46.875 (42.550) Prec@5 71.875 (73.052) Epoch: [30][1770/11272] Time 0.851 (0.811) Data 0.002 (0.003) Loss 2.3537 (2.3052) Prec@1 41.250 (42.552) Prec@5 71.875 (73.060) Epoch: [30][1780/11272] Time 0.875 (0.811) Data 0.002 (0.003) Loss 2.0580 (2.3045) Prec@1 47.500 (42.561) Prec@5 76.250 (73.074) Epoch: [30][1790/11272] Time 0.739 (0.811) Data 0.001 (0.003) Loss 2.3832 (2.3040) Prec@1 36.875 (42.564) Prec@5 71.875 (73.086) Epoch: [30][1800/11272] Time 0.741 (0.811) Data 0.002 (0.003) Loss 2.2440 (2.3036) Prec@1 43.750 (42.570) Prec@5 73.125 (73.092) Epoch: [30][1810/11272] Time 0.874 (0.811) Data 0.002 (0.003) Loss 2.3175 (2.3035) Prec@1 45.625 (42.573) Prec@5 73.750 (73.092) Epoch: [30][1820/11272] Time 0.837 (0.811) Data 0.002 (0.003) Loss 2.2810 (2.3030) Prec@1 43.750 (42.584) Prec@5 73.750 (73.105) Epoch: [30][1830/11272] Time 0.729 (0.811) Data 0.001 (0.003) Loss 2.4454 (2.3030) Prec@1 34.375 (42.585) Prec@5 76.250 (73.112) Epoch: [30][1840/11272] Time 0.758 (0.811) Data 0.002 (0.003) Loss 2.5280 (2.3030) Prec@1 39.375 (42.583) Prec@5 66.250 (73.112) Epoch: [30][1850/11272] Time 0.867 (0.811) Data 0.002 (0.003) Loss 2.0941 (2.3027) Prec@1 45.000 (42.582) Prec@5 76.875 (73.122) Epoch: [30][1860/11272] Time 0.734 (0.811) Data 0.003 (0.003) Loss 2.5000 (2.3022) Prec@1 41.250 (42.592) Prec@5 70.000 (73.132) Epoch: [30][1870/11272] Time 0.779 (0.811) Data 0.001 (0.003) Loss 2.2055 (2.3021) Prec@1 46.250 (42.595) Prec@5 77.500 (73.139) Epoch: [30][1880/11272] Time 0.840 (0.811) Data 0.002 (0.003) Loss 2.0807 (2.3013) Prec@1 48.125 (42.616) Prec@5 77.500 (73.157) Epoch: [30][1890/11272] Time 0.869 (0.811) Data 0.002 (0.003) Loss 2.2327 (2.3007) Prec@1 44.375 (42.629) Prec@5 78.125 (73.173) Epoch: [30][1900/11272] Time 0.740 (0.811) Data 0.002 (0.003) Loss 2.0237 (2.2999) Prec@1 50.000 (42.651) Prec@5 78.125 (73.186) Epoch: [30][1910/11272] Time 0.749 (0.811) Data 0.001 (0.003) Loss 2.3477 (2.2995) Prec@1 42.500 (42.654) Prec@5 69.375 (73.184) Epoch: [30][1920/11272] Time 0.892 (0.811) Data 0.002 (0.003) Loss 2.3300 (2.2995) Prec@1 41.250 (42.652) Prec@5 70.625 (73.183) Epoch: [30][1930/11272] Time 0.857 (0.811) Data 0.001 (0.003) Loss 2.0814 (2.2991) Prec@1 45.625 (42.662) Prec@5 76.875 (73.198) Epoch: [30][1940/11272] Time 0.763 (0.811) Data 0.001 (0.003) Loss 2.1251 (2.2988) Prec@1 47.500 (42.665) Prec@5 74.375 (73.211) Epoch: [30][1950/11272] Time 0.741 (0.811) Data 0.002 (0.003) Loss 2.1563 (2.2986) Prec@1 49.375 (42.671) Prec@5 75.625 (73.216) Epoch: [30][1960/11272] Time 0.876 (0.811) Data 0.002 (0.003) Loss 2.3099 (2.2981) Prec@1 39.375 (42.677) Prec@5 72.500 (73.226) Epoch: [30][1970/11272] Time 0.850 (0.811) Data 0.002 (0.003) Loss 2.2263 (2.2979) Prec@1 45.000 (42.674) Prec@5 72.500 (73.228) Epoch: [30][1980/11272] Time 0.764 (0.811) Data 0.002 (0.003) Loss 2.2931 (2.2973) Prec@1 48.125 (42.680) Prec@5 71.875 (73.239) Epoch: [30][1990/11272] Time 0.879 (0.811) Data 0.002 (0.003) Loss 2.2367 (2.2971) Prec@1 45.000 (42.686) Prec@5 73.750 (73.241) Epoch: [30][2000/11272] Time 0.884 (0.811) Data 0.002 (0.003) Loss 2.3388 (2.2965) Prec@1 39.375 (42.691) Prec@5 73.750 (73.257) Epoch: [30][2010/11272] Time 0.752 (0.811) Data 0.001 (0.003) Loss 2.1089 (2.2963) Prec@1 46.250 (42.701) Prec@5 80.625 (73.261) Epoch: [30][2020/11272] Time 0.741 (0.811) Data 0.002 (0.003) Loss 2.1297 (2.2960) Prec@1 51.250 (42.708) Prec@5 76.875 (73.269) Epoch: [30][2030/11272] Time 0.850 (0.811) Data 0.002 (0.003) Loss 2.2287 (2.2957) Prec@1 40.625 (42.707) Prec@5 71.875 (73.273) Epoch: [30][2040/11272] Time 0.836 (0.811) Data 0.002 (0.003) Loss 2.8318 (2.2957) Prec@1 33.750 (42.706) Prec@5 63.125 (73.272) Epoch: [30][2050/11272] Time 0.743 (0.811) Data 0.002 (0.003) Loss 2.2708 (2.2959) Prec@1 38.125 (42.700) Prec@5 76.875 (73.268) Epoch: [30][2060/11272] Time 0.743 (0.811) Data 0.002 (0.003) Loss 2.3682 (2.2956) Prec@1 41.875 (42.704) Prec@5 69.375 (73.273) Epoch: [30][2070/11272] Time 0.832 (0.811) Data 0.002 (0.003) Loss 2.1390 (2.2955) Prec@1 44.375 (42.703) Prec@5 74.375 (73.279) Epoch: [30][2080/11272] Time 0.843 (0.811) Data 0.002 (0.003) Loss 2.1748 (2.2950) Prec@1 45.625 (42.716) Prec@5 72.500 (73.290) Epoch: [30][2090/11272] Time 0.778 (0.811) Data 0.003 (0.003) Loss 2.3775 (2.2948) Prec@1 41.875 (42.717) Prec@5 68.750 (73.289) Epoch: [30][2100/11272] Time 0.738 (0.811) Data 0.002 (0.003) Loss 2.0786 (2.2942) Prec@1 49.375 (42.726) Prec@5 76.875 (73.309) Epoch: [30][2110/11272] Time 0.860 (0.811) Data 0.002 (0.003) Loss 2.3079 (2.2941) Prec@1 39.375 (42.731) Prec@5 75.000 (73.317) Epoch: [30][2120/11272] Time 0.819 (0.811) Data 0.002 (0.003) Loss 2.1654 (2.2934) Prec@1 47.500 (42.749) Prec@5 71.250 (73.330) Epoch: [30][2130/11272] Time 0.760 (0.811) Data 0.002 (0.003) Loss 2.2843 (2.2934) Prec@1 43.750 (42.751) Prec@5 71.875 (73.326) Epoch: [30][2140/11272] Time 0.895 (0.811) Data 0.001 (0.003) Loss 2.1173 (2.2933) Prec@1 50.000 (42.757) Prec@5 76.250 (73.319) Epoch: [30][2150/11272] Time 0.896 (0.811) Data 0.001 (0.003) Loss 2.2575 (2.2931) Prec@1 47.500 (42.762) Prec@5 70.625 (73.323) Epoch: [30][2160/11272] Time 0.778 (0.811) Data 0.001 (0.003) Loss 2.2141 (2.2929) Prec@1 47.500 (42.762) Prec@5 71.875 (73.323) Epoch: [30][2170/11272] Time 0.763 (0.811) Data 0.002 (0.003) Loss 2.1686 (2.2923) Prec@1 46.250 (42.776) Prec@5 73.750 (73.333) Epoch: [30][2180/11272] Time 0.853 (0.811) Data 0.002 (0.003) Loss 2.3433 (2.2918) Prec@1 43.750 (42.791) Prec@5 73.750 (73.342) Epoch: [30][2190/11272] Time 0.849 (0.811) Data 0.002 (0.003) Loss 2.4141 (2.2915) Prec@1 38.750 (42.788) Prec@5 72.500 (73.353) Epoch: [30][2200/11272] Time 0.755 (0.811) Data 0.002 (0.003) Loss 2.3583 (2.2912) Prec@1 46.250 (42.794) Prec@5 71.250 (73.364) Epoch: [30][2210/11272] Time 0.745 (0.811) Data 0.002 (0.003) Loss 2.4113 (2.2910) Prec@1 43.750 (42.795) Prec@5 72.500 (73.372) Epoch: [30][2220/11272] Time 0.862 (0.811) Data 0.002 (0.003) Loss 2.4443 (2.2907) Prec@1 41.875 (42.798) Prec@5 75.625 (73.377) Epoch: [30][2230/11272] Time 0.855 (0.811) Data 0.002 (0.003) Loss 2.2771 (2.2905) Prec@1 41.875 (42.803) Prec@5 71.250 (73.382) Epoch: [30][2240/11272] Time 0.794 (0.811) Data 0.002 (0.003) Loss 1.9975 (2.2901) Prec@1 47.500 (42.809) Prec@5 78.125 (73.391) Epoch: [30][2250/11272] Time 0.757 (0.811) Data 0.002 (0.003) Loss 2.3837 (2.2903) Prec@1 39.375 (42.805) Prec@5 75.000 (73.385) Epoch: [30][2260/11272] Time 0.905 (0.811) Data 0.002 (0.003) Loss 2.0997 (2.2899) Prec@1 46.250 (42.820) Prec@5 76.875 (73.392) Epoch: [30][2270/11272] Time 0.738 (0.811) Data 0.001 (0.003) Loss 2.1695 (2.2899) Prec@1 43.750 (42.820) Prec@5 76.875 (73.393) Epoch: [30][2280/11272] Time 0.728 (0.811) Data 0.002 (0.003) Loss 2.0257 (2.2896) Prec@1 51.875 (42.824) Prec@5 77.500 (73.397) Epoch: [30][2290/11272] Time 0.849 (0.811) Data 0.002 (0.003) Loss 2.2310 (2.2894) Prec@1 46.875 (42.831) Prec@5 76.250 (73.400) Epoch: [30][2300/11272] Time 0.840 (0.811) Data 0.002 (0.003) Loss 2.3747 (2.2891) Prec@1 45.000 (42.838) Prec@5 70.625 (73.401) Epoch: [30][2310/11272] Time 0.740 (0.811) Data 0.002 (0.003) Loss 2.3665 (2.2891) Prec@1 38.125 (42.833) Prec@5 69.375 (73.402) Epoch: [30][2320/11272] Time 0.777 (0.811) Data 0.002 (0.003) Loss 1.9672 (2.2885) Prec@1 55.625 (42.842) Prec@5 80.000 (73.418) Epoch: [30][2330/11272] Time 0.880 (0.811) Data 0.002 (0.003) Loss 2.2305 (2.2885) Prec@1 43.750 (42.841) Prec@5 75.000 (73.420) Epoch: [30][2340/11272] Time 0.883 (0.811) Data 0.002 (0.003) Loss 2.2083 (2.2884) Prec@1 48.125 (42.843) Prec@5 72.500 (73.418) Epoch: [30][2350/11272] Time 0.794 (0.811) Data 0.002 (0.003) Loss 2.1284 (2.2884) Prec@1 44.375 (42.845) Prec@5 78.125 (73.419) Epoch: [30][2360/11272] Time 0.756 (0.811) Data 0.002 (0.003) Loss 2.3407 (2.2881) Prec@1 39.375 (42.849) Prec@5 73.750 (73.422) Epoch: [30][2370/11272] Time 0.858 (0.811) Data 0.001 (0.003) Loss 2.2415 (2.2878) Prec@1 49.375 (42.862) Prec@5 75.000 (73.431) Epoch: [30][2380/11272] Time 0.935 (0.811) Data 0.002 (0.003) Loss 2.1680 (2.2876) Prec@1 43.750 (42.870) Prec@5 73.750 (73.435) Epoch: [30][2390/11272] Time 0.738 (0.811) Data 0.002 (0.003) Loss 2.1331 (2.2874) Prec@1 46.250 (42.868) Prec@5 76.250 (73.441) Epoch: [30][2400/11272] Time 0.904 (0.811) Data 0.002 (0.003) Loss 2.3255 (2.2873) Prec@1 44.375 (42.869) Prec@5 71.875 (73.443) Epoch: [30][2410/11272] Time 0.837 (0.811) Data 0.002 (0.003) Loss 2.2226 (2.2871) Prec@1 38.125 (42.874) Prec@5 75.625 (73.444) Epoch: [30][2420/11272] Time 0.787 (0.811) Data 0.002 (0.003) Loss 2.0473 (2.2866) Prec@1 48.750 (42.883) Prec@5 77.500 (73.451) Epoch: [30][2430/11272] Time 0.739 (0.811) Data 0.001 (0.003) Loss 2.0755 (2.2864) Prec@1 40.625 (42.882) Prec@5 78.750 (73.456) Epoch: [30][2440/11272] Time 0.892 (0.811) Data 0.002 (0.003) Loss 2.2965 (2.2863) Prec@1 43.750 (42.880) Prec@5 70.625 (73.457) Epoch: [30][2450/11272] Time 0.826 (0.811) Data 0.002 (0.003) Loss 1.9163 (2.2860) Prec@1 51.250 (42.882) Prec@5 78.125 (73.465) Epoch: [30][2460/11272] Time 0.838 (0.811) Data 0.002 (0.003) Loss 2.2105 (2.2860) Prec@1 42.500 (42.881) Prec@5 75.000 (73.467) Epoch: [30][2470/11272] Time 0.762 (0.811) Data 0.002 (0.003) Loss 2.3378 (2.2856) Prec@1 40.000 (42.887) Prec@5 71.875 (73.472) Epoch: [30][2480/11272] Time 0.876 (0.811) Data 0.002 (0.003) Loss 2.1219 (2.2853) Prec@1 42.500 (42.896) Prec@5 78.125 (73.481) Epoch: [30][2490/11272] Time 0.847 (0.811) Data 0.001 (0.003) Loss 2.1554 (2.2850) Prec@1 45.000 (42.901) Prec@5 74.375 (73.488) Epoch: [30][2500/11272] Time 0.755 (0.811) Data 0.002 (0.003) Loss 1.9511 (2.2848) Prec@1 46.875 (42.906) Prec@5 78.125 (73.490) Epoch: [30][2510/11272] Time 0.750 (0.811) Data 0.002 (0.003) Loss 2.1124 (2.2847) Prec@1 48.125 (42.912) Prec@5 76.250 (73.489) Epoch: [30][2520/11272] Time 0.900 (0.811) Data 0.002 (0.003) Loss 2.2291 (2.2844) Prec@1 50.625 (42.925) Prec@5 74.375 (73.493) Epoch: [30][2530/11272] Time 0.732 (0.811) Data 0.003 (0.003) Loss 2.2479 (2.2841) Prec@1 41.875 (42.935) Prec@5 71.875 (73.500) Epoch: [30][2540/11272] Time 0.740 (0.811) Data 0.002 (0.003) Loss 2.4051 (2.2841) Prec@1 41.250 (42.937) Prec@5 71.875 (73.500) Epoch: [30][2550/11272] Time 0.883 (0.811) Data 0.002 (0.003) Loss 2.0842 (2.2841) Prec@1 48.750 (42.945) Prec@5 77.500 (73.501) Epoch: [30][2560/11272] Time 0.819 (0.811) Data 0.002 (0.003) Loss 1.9222 (2.2837) Prec@1 48.125 (42.950) Prec@5 81.250 (73.507) Epoch: [30][2570/11272] Time 0.740 (0.811) Data 0.002 (0.003) Loss 2.0667 (2.2835) Prec@1 46.875 (42.949) Prec@5 76.875 (73.511) Epoch: [30][2580/11272] Time 0.776 (0.811) Data 0.002 (0.003) Loss 2.2353 (2.2837) Prec@1 46.875 (42.948) Prec@5 75.000 (73.502) Epoch: [30][2590/11272] Time 0.863 (0.811) Data 0.002 (0.003) Loss 2.2674 (2.2836) Prec@1 43.125 (42.948) Prec@5 77.500 (73.504) Epoch: [30][2600/11272] Time 0.871 (0.811) Data 0.001 (0.003) Loss 2.3744 (2.2836) Prec@1 46.250 (42.948) Prec@5 70.000 (73.505) Epoch: [30][2610/11272] Time 0.763 (0.811) Data 0.002 (0.003) Loss 2.0281 (2.2834) Prec@1 50.000 (42.952) Prec@5 78.750 (73.506) Epoch: [30][2620/11272] Time 0.757 (0.811) Data 0.002 (0.003) Loss 1.9674 (2.2832) Prec@1 53.125 (42.955) Prec@5 75.625 (73.509) Epoch: [30][2630/11272] Time 0.890 (0.811) Data 0.002 (0.003) Loss 2.1445 (2.2826) Prec@1 48.125 (42.971) Prec@5 72.500 (73.522) Epoch: [30][2640/11272] Time 0.829 (0.811) Data 0.001 (0.003) Loss 2.0770 (2.2822) Prec@1 48.750 (42.973) Prec@5 75.000 (73.528) Epoch: [30][2650/11272] Time 0.752 (0.811) Data 0.001 (0.003) Loss 2.4962 (2.2820) Prec@1 38.750 (42.981) Prec@5 72.500 (73.534) Epoch: [30][2660/11272] Time 0.883 (0.811) Data 0.002 (0.003) Loss 2.2140 (2.2817) Prec@1 45.000 (42.981) Prec@5 76.250 (73.536) Epoch: [30][2670/11272] Time 0.850 (0.811) Data 0.002 (0.003) Loss 2.3537 (2.2817) Prec@1 41.875 (42.979) Prec@5 74.375 (73.537) Epoch: [30][2680/11272] Time 0.729 (0.811) Data 0.001 (0.003) Loss 1.8784 (2.2815) Prec@1 53.125 (42.979) Prec@5 80.000 (73.542) Epoch: [30][2690/11272] Time 0.749 (0.811) Data 0.002 (0.003) Loss 2.1550 (2.2813) Prec@1 44.375 (42.988) Prec@5 77.500 (73.548) Epoch: [30][2700/11272] Time 0.875 (0.811) Data 0.002 (0.003) Loss 2.2935 (2.2811) Prec@1 41.250 (42.989) Prec@5 77.500 (73.548) Epoch: [30][2710/11272] Time 0.829 (0.811) Data 0.002 (0.003) Loss 2.4848 (2.2813) Prec@1 34.375 (42.979) Prec@5 72.500 (73.545) Epoch: [30][2720/11272] Time 0.784 (0.811) Data 0.003 (0.003) Loss 2.1936 (2.2810) Prec@1 46.250 (42.986) Prec@5 75.000 (73.549) Epoch: [30][2730/11272] Time 0.755 (0.811) Data 0.002 (0.003) Loss 1.9689 (2.2808) Prec@1 45.625 (42.988) Prec@5 77.500 (73.551) Epoch: [30][2740/11272] Time 0.865 (0.811) Data 0.001 (0.003) Loss 2.3759 (2.2807) Prec@1 44.375 (42.994) Prec@5 73.125 (73.552) Epoch: [30][2750/11272] Time 0.841 (0.811) Data 0.002 (0.003) Loss 2.2722 (2.2803) Prec@1 43.750 (43.002) Prec@5 71.250 (73.554) Epoch: [30][2760/11272] Time 0.742 (0.811) Data 0.002 (0.002) Loss 2.2214 (2.2804) Prec@1 43.750 (42.996) Prec@5 72.500 (73.555) Epoch: [30][2770/11272] Time 0.748 (0.811) Data 0.003 (0.002) Loss 2.3248 (2.2802) Prec@1 42.500 (43.000) Prec@5 71.250 (73.559) Epoch: [30][2780/11272] Time 0.852 (0.811) Data 0.002 (0.002) Loss 2.1969 (2.2797) Prec@1 40.625 (43.008) Prec@5 76.250 (73.566) Epoch: [30][2790/11272] Time 0.743 (0.811) Data 0.003 (0.002) Loss 2.2764 (2.2796) Prec@1 45.000 (43.013) Prec@5 72.500 (73.568) Epoch: [30][2800/11272] Time 0.711 (0.811) Data 0.001 (0.002) Loss 2.2784 (2.2796) Prec@1 39.375 (43.009) Prec@5 75.625 (73.570) Epoch: [30][2810/11272] Time 0.856 (0.811) Data 0.001 (0.002) Loss 2.2530 (2.2793) Prec@1 44.375 (43.015) Prec@5 74.375 (73.576) Epoch: [30][2820/11272] Time 0.846 (0.811) Data 0.002 (0.002) Loss 2.2506 (2.2795) Prec@1 45.000 (43.014) Prec@5 71.875 (73.571) Epoch: [30][2830/11272] Time 0.746 (0.811) Data 0.001 (0.002) Loss 2.1986 (2.2793) Prec@1 48.125 (43.020) Prec@5 73.750 (73.575) Epoch: [30][2840/11272] Time 0.764 (0.811) Data 0.002 (0.002) Loss 2.1922 (2.2792) Prec@1 41.250 (43.014) Prec@5 75.625 (73.577) Epoch: [30][2850/11272] Time 0.859 (0.811) Data 0.001 (0.002) Loss 2.1296 (2.2789) Prec@1 42.500 (43.022) Prec@5 75.000 (73.579) Epoch: [30][2860/11272] Time 0.840 (0.811) Data 0.002 (0.002) Loss 2.5396 (2.2789) Prec@1 37.500 (43.030) Prec@5 67.500 (73.579) Epoch: [30][2870/11272] Time 0.757 (0.811) Data 0.002 (0.002) Loss 2.3014 (2.2785) Prec@1 38.125 (43.037) Prec@5 74.375 (73.588) Epoch: [30][2880/11272] Time 0.753 (0.811) Data 0.002 (0.002) Loss 2.2614 (2.2781) Prec@1 46.250 (43.047) Prec@5 73.750 (73.595) Epoch: [30][2890/11272] Time 0.875 (0.811) Data 0.002 (0.002) Loss 2.1424 (2.2779) Prec@1 46.250 (43.059) Prec@5 77.500 (73.601) Epoch: [30][2900/11272] Time 0.814 (0.811) Data 0.001 (0.002) Loss 2.1355 (2.2776) Prec@1 44.375 (43.066) Prec@5 78.125 (73.607) Epoch: [30][2910/11272] Time 0.764 (0.810) Data 0.001 (0.002) Loss 2.1305 (2.2774) Prec@1 47.500 (43.066) Prec@5 78.125 (73.611) Epoch: [30][2920/11272] Time 0.880 (0.811) Data 0.002 (0.002) Loss 2.1008 (2.2773) Prec@1 51.875 (43.075) Prec@5 76.875 (73.611) Epoch: [30][2930/11272] Time 0.848 (0.811) Data 0.002 (0.002) Loss 2.2514 (2.2772) Prec@1 43.125 (43.077) Prec@5 73.750 (73.611) Epoch: [30][2940/11272] Time 0.734 (0.811) Data 0.001 (0.002) Loss 2.0405 (2.2769) Prec@1 46.875 (43.087) Prec@5 76.875 (73.615) Epoch: [30][2950/11272] Time 0.736 (0.811) Data 0.002 (0.002) Loss 2.0609 (2.2768) Prec@1 45.625 (43.091) Prec@5 73.750 (73.612) Epoch: [30][2960/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 2.0131 (2.2765) Prec@1 45.625 (43.091) Prec@5 77.500 (73.620) Epoch: [30][2970/11272] Time 0.842 (0.811) Data 0.002 (0.002) Loss 2.2429 (2.2763) Prec@1 43.125 (43.089) Prec@5 76.875 (73.624) Epoch: [30][2980/11272] Time 0.765 (0.810) Data 0.002 (0.002) Loss 2.0554 (2.2760) Prec@1 43.750 (43.093) Prec@5 76.875 (73.630) Epoch: [30][2990/11272] Time 0.721 (0.810) Data 0.002 (0.002) Loss 2.1578 (2.2757) Prec@1 43.750 (43.101) Prec@5 78.750 (73.635) Epoch: [30][3000/11272] Time 0.850 (0.810) Data 0.002 (0.002) Loss 2.4026 (2.2757) Prec@1 43.125 (43.103) Prec@5 74.375 (73.639) Epoch: [30][3010/11272] Time 0.919 (0.810) Data 0.002 (0.002) Loss 2.1508 (2.2758) Prec@1 42.500 (43.101) Prec@5 74.375 (73.640) Epoch: [30][3020/11272] Time 0.767 (0.810) Data 0.002 (0.002) Loss 2.4196 (2.2755) Prec@1 41.875 (43.103) Prec@5 68.750 (73.640) Epoch: [30][3030/11272] Time 0.726 (0.810) Data 0.001 (0.002) Loss 1.9712 (2.2753) Prec@1 48.125 (43.109) Prec@5 78.750 (73.643) Epoch: [30][3040/11272] Time 0.850 (0.810) Data 0.002 (0.002) Loss 2.2673 (2.2752) Prec@1 45.625 (43.109) Prec@5 75.625 (73.647) Epoch: [30][3050/11272] Time 0.822 (0.810) Data 0.002 (0.002) Loss 2.3478 (2.2750) Prec@1 40.000 (43.115) Prec@5 73.750 (73.656) Epoch: [30][3060/11272] Time 0.723 (0.810) Data 0.002 (0.002) Loss 2.3286 (2.2748) Prec@1 40.625 (43.120) Prec@5 71.250 (73.659) Epoch: [30][3070/11272] Time 0.829 (0.810) Data 0.002 (0.002) Loss 2.0722 (2.2745) Prec@1 41.250 (43.125) Prec@5 78.750 (73.668) Epoch: [30][3080/11272] Time 0.845 (0.810) Data 0.002 (0.002) Loss 2.3724 (2.2746) Prec@1 40.625 (43.125) Prec@5 71.875 (73.663) Epoch: [30][3090/11272] Time 0.746 (0.810) Data 0.002 (0.002) Loss 2.4024 (2.2745) Prec@1 43.125 (43.124) Prec@5 68.750 (73.664) Epoch: [30][3100/11272] Time 0.783 (0.810) Data 0.002 (0.002) Loss 2.4201 (2.2744) Prec@1 36.250 (43.127) Prec@5 70.000 (73.660) Epoch: [30][3110/11272] Time 0.830 (0.810) Data 0.001 (0.002) Loss 2.4742 (2.2744) Prec@1 40.000 (43.128) Prec@5 67.500 (73.655) Epoch: [30][3120/11272] Time 0.843 (0.810) Data 0.002 (0.002) Loss 2.2000 (2.2742) Prec@1 45.000 (43.129) Prec@5 75.000 (73.661) Epoch: [30][3130/11272] Time 0.759 (0.810) Data 0.002 (0.002) Loss 2.2141 (2.2739) Prec@1 50.000 (43.139) Prec@5 74.375 (73.664) Epoch: [30][3140/11272] Time 0.742 (0.810) Data 0.002 (0.002) Loss 1.9577 (2.2736) Prec@1 46.875 (43.143) Prec@5 79.375 (73.665) Epoch: [30][3150/11272] Time 0.874 (0.810) Data 0.002 (0.002) Loss 2.5792 (2.2734) Prec@1 38.750 (43.146) Prec@5 69.375 (73.671) Epoch: [30][3160/11272] Time 0.837 (0.810) Data 0.002 (0.002) Loss 2.3853 (2.2733) Prec@1 41.875 (43.151) Prec@5 72.500 (73.672) Epoch: [30][3170/11272] Time 0.730 (0.810) Data 0.002 (0.002) Loss 1.9859 (2.2731) Prec@1 48.125 (43.154) Prec@5 80.000 (73.678) Epoch: [30][3180/11272] Time 0.734 (0.810) Data 0.002 (0.002) Loss 2.4442 (2.2729) Prec@1 36.875 (43.159) Prec@5 73.125 (73.679) Epoch: [30][3190/11272] Time 0.826 (0.810) Data 0.002 (0.002) Loss 2.4936 (2.2727) Prec@1 42.500 (43.164) Prec@5 68.750 (73.683) Epoch: [30][3200/11272] Time 0.763 (0.810) Data 0.001 (0.002) Loss 2.1197 (2.2727) Prec@1 46.875 (43.161) Prec@5 78.125 (73.685) Epoch: [30][3210/11272] Time 0.737 (0.810) Data 0.002 (0.002) Loss 2.1142 (2.2726) Prec@1 45.000 (43.166) Prec@5 74.375 (73.686) Epoch: [30][3220/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 2.4212 (2.2724) Prec@1 38.125 (43.166) Prec@5 72.500 (73.691) Epoch: [30][3230/11272] Time 0.874 (0.810) Data 0.002 (0.002) Loss 2.4599 (2.2720) Prec@1 39.375 (43.173) Prec@5 71.250 (73.698) Epoch: [30][3240/11272] Time 0.751 (0.810) Data 0.002 (0.002) Loss 2.0810 (2.2717) Prec@1 46.875 (43.174) Prec@5 80.000 (73.705) Epoch: [30][3250/11272] Time 0.759 (0.810) Data 0.002 (0.002) Loss 2.2177 (2.2716) Prec@1 45.625 (43.177) Prec@5 73.750 (73.711) Epoch: [30][3260/11272] Time 0.885 (0.810) Data 0.002 (0.002) Loss 1.9733 (2.2713) Prec@1 48.750 (43.180) Prec@5 81.250 (73.718) Epoch: [30][3270/11272] Time 0.838 (0.810) Data 0.001 (0.002) Loss 2.4480 (2.2710) Prec@1 41.875 (43.188) Prec@5 72.500 (73.723) Epoch: [30][3280/11272] Time 0.775 (0.810) Data 0.002 (0.002) Loss 1.7853 (2.2705) Prec@1 49.375 (43.195) Prec@5 84.375 (73.735) Epoch: [30][3290/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 1.9651 (2.2704) Prec@1 46.875 (43.194) Prec@5 78.125 (73.736) Epoch: [30][3300/11272] Time 0.822 (0.810) Data 0.002 (0.002) Loss 2.0918 (2.2704) Prec@1 47.500 (43.199) Prec@5 77.500 (73.735) Epoch: [30][3310/11272] Time 0.857 (0.810) Data 0.001 (0.002) Loss 2.2849 (2.2702) Prec@1 40.625 (43.201) Prec@5 76.875 (73.738) Epoch: [30][3320/11272] Time 0.793 (0.810) Data 0.002 (0.002) Loss 2.2323 (2.2702) Prec@1 46.875 (43.202) Prec@5 74.375 (73.742) Epoch: [30][3330/11272] Time 0.832 (0.810) Data 0.002 (0.002) Loss 2.2639 (2.2703) Prec@1 41.875 (43.204) Prec@5 73.750 (73.739) Epoch: [30][3340/11272] Time 0.843 (0.810) Data 0.001 (0.002) Loss 2.1546 (2.2701) Prec@1 42.500 (43.203) Prec@5 76.250 (73.741) Epoch: [30][3350/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.1857 (2.2701) Prec@1 47.500 (43.202) Prec@5 71.875 (73.739) Epoch: [30][3360/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.1207 (2.2698) Prec@1 53.750 (43.207) Prec@5 76.250 (73.743) Epoch: [30][3370/11272] Time 0.899 (0.810) Data 0.002 (0.002) Loss 2.0485 (2.2697) Prec@1 45.000 (43.205) Prec@5 79.375 (73.752) Epoch: [30][3380/11272] Time 0.831 (0.810) Data 0.001 (0.002) Loss 2.0052 (2.2693) Prec@1 46.250 (43.214) Prec@5 81.250 (73.759) Epoch: [30][3390/11272] Time 0.750 (0.809) Data 0.002 (0.002) Loss 2.2118 (2.2692) Prec@1 46.250 (43.218) Prec@5 80.625 (73.763) Epoch: [30][3400/11272] Time 0.786 (0.809) Data 0.002 (0.002) Loss 2.0347 (2.2689) Prec@1 50.000 (43.221) Prec@5 81.250 (73.771) Epoch: [30][3410/11272] Time 0.904 (0.809) Data 0.002 (0.002) Loss 2.2081 (2.2687) Prec@1 43.125 (43.224) Prec@5 74.375 (73.772) Epoch: [30][3420/11272] Time 0.831 (0.809) Data 0.001 (0.002) Loss 2.2890 (2.2688) Prec@1 47.500 (43.222) Prec@5 73.750 (73.772) Epoch: [30][3430/11272] Time 0.741 (0.809) Data 0.002 (0.002) Loss 2.2394 (2.2687) Prec@1 41.875 (43.222) Prec@5 74.375 (73.775) Epoch: [30][3440/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 1.9713 (2.2684) Prec@1 51.875 (43.234) Prec@5 73.750 (73.776) Epoch: [30][3450/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.1128 (2.2679) Prec@1 48.125 (43.244) Prec@5 77.500 (73.785) Epoch: [30][3460/11272] Time 0.740 (0.809) Data 0.003 (0.002) Loss 2.3806 (2.2679) Prec@1 39.375 (43.244) Prec@5 71.250 (73.785) Epoch: [30][3470/11272] Time 0.754 (0.809) Data 0.002 (0.002) Loss 2.2935 (2.2675) Prec@1 44.375 (43.252) Prec@5 75.000 (73.794) Epoch: [30][3480/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.1982 (2.2674) Prec@1 44.375 (43.257) Prec@5 75.000 (73.796) Epoch: [30][3490/11272] Time 0.827 (0.809) Data 0.002 (0.002) Loss 2.2983 (2.2673) Prec@1 43.750 (43.259) Prec@5 73.750 (73.794) Epoch: [30][3500/11272] Time 0.760 (0.809) Data 0.001 (0.002) Loss 2.4373 (2.2671) Prec@1 40.625 (43.262) Prec@5 71.250 (73.798) Epoch: [30][3510/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.0694 (2.2671) Prec@1 46.875 (43.262) Prec@5 77.500 (73.801) Epoch: [30][3520/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.0908 (2.2669) Prec@1 46.875 (43.269) Prec@5 76.250 (73.803) Epoch: [30][3530/11272] Time 0.841 (0.809) Data 0.002 (0.002) Loss 2.3695 (2.2668) Prec@1 41.875 (43.272) Prec@5 70.000 (73.808) Epoch: [30][3540/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.2927 (2.2668) Prec@1 41.250 (43.272) Prec@5 75.000 (73.807) Epoch: [30][3550/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.0585 (2.2665) Prec@1 50.625 (43.277) Prec@5 75.625 (73.811) Epoch: [30][3560/11272] Time 0.906 (0.809) Data 0.002 (0.002) Loss 2.1822 (2.2664) Prec@1 44.375 (43.276) Prec@5 76.250 (73.814) Epoch: [30][3570/11272] Time 0.840 (0.809) Data 0.002 (0.002) Loss 2.1812 (2.2662) Prec@1 41.875 (43.277) Prec@5 76.250 (73.819) Epoch: [30][3580/11272] Time 0.752 (0.809) Data 0.001 (0.002) Loss 2.2153 (2.2661) Prec@1 43.750 (43.279) Prec@5 75.625 (73.821) Epoch: [30][3590/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.3371 (2.2659) Prec@1 43.750 (43.286) Prec@5 70.625 (73.824) Epoch: [30][3600/11272] Time 0.836 (0.809) Data 0.001 (0.002) Loss 2.2721 (2.2658) Prec@1 46.875 (43.288) Prec@5 74.375 (73.827) Epoch: [30][3610/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.2843 (2.2658) Prec@1 42.500 (43.288) Prec@5 78.750 (73.828) Epoch: [30][3620/11272] Time 0.753 (0.809) Data 0.002 (0.002) Loss 2.2063 (2.2657) Prec@1 40.000 (43.291) Prec@5 75.000 (73.831) Epoch: [30][3630/11272] Time 0.850 (0.809) Data 0.001 (0.002) Loss 2.0988 (2.2656) Prec@1 43.750 (43.291) Prec@5 77.500 (73.836) Epoch: [30][3640/11272] Time 0.853 (0.809) Data 0.001 (0.002) Loss 2.3675 (2.2657) Prec@1 42.500 (43.286) Prec@5 71.250 (73.833) Epoch: [30][3650/11272] Time 0.752 (0.809) Data 0.002 (0.002) Loss 2.4649 (2.2657) Prec@1 38.750 (43.285) Prec@5 68.750 (73.836) Epoch: [30][3660/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 2.4783 (2.2655) Prec@1 40.000 (43.289) Prec@5 68.750 (73.842) Epoch: [30][3670/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.3034 (2.2654) Prec@1 37.500 (43.293) Prec@5 71.875 (73.845) Epoch: [30][3680/11272] Time 0.838 (0.809) Data 0.002 (0.002) Loss 2.3319 (2.2652) Prec@1 38.125 (43.297) Prec@5 76.250 (73.851) Epoch: [30][3690/11272] Time 0.719 (0.809) Data 0.001 (0.002) Loss 2.2340 (2.2650) Prec@1 41.875 (43.295) Prec@5 73.125 (73.854) Epoch: [30][3700/11272] Time 0.746 (0.809) Data 0.002 (0.002) Loss 2.1666 (2.2648) Prec@1 45.000 (43.302) Prec@5 76.250 (73.856) Epoch: [30][3710/11272] Time 0.837 (0.809) Data 0.002 (0.002) Loss 1.9883 (2.2648) Prec@1 47.500 (43.304) Prec@5 78.750 (73.856) Epoch: [30][3720/11272] Time 0.725 (0.809) Data 0.003 (0.002) Loss 2.1226 (2.2647) Prec@1 49.375 (43.309) Prec@5 80.000 (73.857) Epoch: [30][3730/11272] Time 0.732 (0.809) Data 0.002 (0.002) Loss 2.1318 (2.2643) Prec@1 46.875 (43.316) Prec@5 75.000 (73.863) Epoch: [30][3740/11272] Time 0.831 (0.809) Data 0.002 (0.002) Loss 2.2562 (2.2642) Prec@1 41.250 (43.318) Prec@5 74.375 (73.864) Epoch: [30][3750/11272] Time 0.833 (0.809) Data 0.002 (0.002) Loss 2.0992 (2.2641) Prec@1 42.500 (43.323) Prec@5 75.000 (73.862) Epoch: [30][3760/11272] Time 0.730 (0.809) Data 0.001 (0.002) Loss 1.9678 (2.2637) Prec@1 46.250 (43.328) Prec@5 78.125 (73.866) Epoch: [30][3770/11272] Time 0.718 (0.809) Data 0.002 (0.002) Loss 2.3265 (2.2635) Prec@1 44.375 (43.330) Prec@5 75.000 (73.872) Epoch: [30][3780/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.3774 (2.2633) Prec@1 47.500 (43.338) Prec@5 72.500 (73.871) Epoch: [30][3790/11272] Time 0.835 (0.809) Data 0.002 (0.002) Loss 2.1251 (2.2631) Prec@1 47.500 (43.342) Prec@5 76.250 (73.875) Epoch: [30][3800/11272] Time 0.732 (0.809) Data 0.002 (0.002) Loss 2.3067 (2.2632) Prec@1 36.875 (43.338) Prec@5 75.000 (73.873) Epoch: [30][3810/11272] Time 0.724 (0.809) Data 0.001 (0.002) Loss 2.2894 (2.2632) Prec@1 45.000 (43.342) Prec@5 70.000 (73.872) Epoch: [30][3820/11272] Time 0.840 (0.809) Data 0.002 (0.002) Loss 2.0882 (2.2631) Prec@1 45.625 (43.346) Prec@5 79.375 (73.877) Epoch: [30][3830/11272] Time 0.863 (0.808) Data 0.001 (0.002) Loss 2.3244 (2.2631) Prec@1 40.625 (43.346) Prec@5 72.500 (73.876) Epoch: [30][3840/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.2594 (2.2629) Prec@1 42.500 (43.348) Prec@5 75.625 (73.880) Epoch: [30][3850/11272] Time 0.876 (0.808) Data 0.001 (0.002) Loss 2.1424 (2.2627) Prec@1 46.250 (43.352) Prec@5 76.250 (73.884) Epoch: [30][3860/11272] Time 0.907 (0.808) Data 0.002 (0.002) Loss 1.9087 (2.2625) Prec@1 53.125 (43.358) Prec@5 79.375 (73.890) Epoch: [30][3870/11272] Time 0.738 (0.808) Data 0.001 (0.002) Loss 2.1502 (2.2626) Prec@1 43.125 (43.357) Prec@5 76.875 (73.888) Epoch: [30][3880/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.1206 (2.2622) Prec@1 41.875 (43.363) Prec@5 76.875 (73.896) Epoch: [30][3890/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 2.1513 (2.2621) Prec@1 45.625 (43.363) Prec@5 77.500 (73.897) Epoch: [30][3900/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.0333 (2.2620) Prec@1 51.875 (43.370) Prec@5 79.375 (73.900) Epoch: [30][3910/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.3214 (2.2619) Prec@1 41.250 (43.369) Prec@5 69.375 (73.900) Epoch: [30][3920/11272] Time 0.725 (0.808) Data 0.002 (0.002) Loss 2.1298 (2.2616) Prec@1 47.500 (43.375) Prec@5 73.750 (73.904) Epoch: [30][3930/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.3413 (2.2616) Prec@1 42.500 (43.377) Prec@5 71.875 (73.909) Epoch: [30][3940/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.2115 (2.2613) Prec@1 42.500 (43.379) Prec@5 75.000 (73.915) Epoch: [30][3950/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.2725 (2.2612) Prec@1 45.000 (43.377) Prec@5 75.000 (73.915) Epoch: [30][3960/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.2039 (2.2609) Prec@1 48.750 (43.383) Prec@5 75.625 (73.923) Epoch: [30][3970/11272] Time 0.837 (0.808) Data 0.002 (0.002) Loss 2.4798 (2.2606) Prec@1 38.125 (43.391) Prec@5 66.250 (73.928) Epoch: [30][3980/11272] Time 0.858 (0.808) Data 0.001 (0.002) Loss 2.2702 (2.2605) Prec@1 38.750 (43.392) Prec@5 73.125 (73.930) Epoch: [30][3990/11272] Time 0.760 (0.808) Data 0.001 (0.002) Loss 2.4757 (2.2606) Prec@1 44.375 (43.396) Prec@5 71.875 (73.928) Epoch: [30][4000/11272] Time 0.875 (0.808) Data 0.001 (0.002) Loss 2.3636 (2.2605) Prec@1 41.875 (43.397) Prec@5 75.625 (73.930) Epoch: [30][4010/11272] Time 0.828 (0.808) Data 0.001 (0.002) Loss 2.1817 (2.2603) Prec@1 46.875 (43.398) Prec@5 76.875 (73.936) Epoch: [30][4020/11272] Time 0.765 (0.808) Data 0.001 (0.002) Loss 2.2080 (2.2600) Prec@1 43.125 (43.402) Prec@5 73.750 (73.939) Epoch: [30][4030/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.3035 (2.2600) Prec@1 41.875 (43.401) Prec@5 78.125 (73.939) Epoch: [30][4040/11272] Time 0.898 (0.808) Data 0.002 (0.002) Loss 2.3204 (2.2599) Prec@1 45.625 (43.404) Prec@5 71.875 (73.941) Epoch: [30][4050/11272] Time 0.917 (0.808) Data 0.002 (0.002) Loss 2.1576 (2.2599) Prec@1 47.500 (43.402) Prec@5 81.875 (73.944) Epoch: [30][4060/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.1393 (2.2598) Prec@1 45.625 (43.406) Prec@5 74.375 (73.945) Epoch: [30][4070/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.2164 (2.2596) Prec@1 38.750 (43.404) Prec@5 74.375 (73.947) Epoch: [30][4080/11272] Time 0.852 (0.808) Data 0.001 (0.002) Loss 2.2522 (2.2594) Prec@1 38.125 (43.406) Prec@5 74.375 (73.951) Epoch: [30][4090/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.3313 (2.2593) Prec@1 42.500 (43.407) Prec@5 73.750 (73.955) Epoch: [30][4100/11272] Time 0.735 (0.808) Data 0.002 (0.002) Loss 2.1002 (2.2592) Prec@1 48.125 (43.408) Prec@5 77.500 (73.959) Epoch: [30][4110/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.0665 (2.2588) Prec@1 51.250 (43.419) Prec@5 75.625 (73.965) Epoch: [30][4120/11272] Time 0.837 (0.808) Data 0.002 (0.002) Loss 2.1960 (2.2586) Prec@1 43.125 (43.425) Prec@5 72.500 (73.966) Epoch: [30][4130/11272] Time 0.767 (0.808) Data 0.001 (0.002) Loss 2.1891 (2.2585) Prec@1 50.625 (43.427) Prec@5 75.000 (73.968) Epoch: [30][4140/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.0032 (2.2583) Prec@1 51.875 (43.428) Prec@5 78.125 (73.973) Epoch: [30][4150/11272] Time 0.863 (0.808) Data 0.001 (0.002) Loss 2.4373 (2.2582) Prec@1 41.875 (43.435) Prec@5 69.375 (73.976) Epoch: [30][4160/11272] Time 0.835 (0.808) Data 0.002 (0.002) Loss 2.2854 (2.2581) Prec@1 43.750 (43.435) Prec@5 73.125 (73.977) Epoch: [30][4170/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.3712 (2.2580) Prec@1 35.000 (43.437) Prec@5 75.000 (73.976) Epoch: [30][4180/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.1330 (2.2579) Prec@1 47.500 (43.441) Prec@5 74.375 (73.977) Epoch: [30][4190/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.1903 (2.2578) Prec@1 39.375 (43.444) Prec@5 77.500 (73.980) Epoch: [30][4200/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.3920 (2.2575) Prec@1 43.750 (43.449) Prec@5 73.750 (73.983) Epoch: [30][4210/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.2333 (2.2575) Prec@1 45.625 (43.451) Prec@5 74.375 (73.984) Epoch: [30][4220/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.1881 (2.2575) Prec@1 41.250 (43.450) Prec@5 79.375 (73.986) Epoch: [30][4230/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.1639 (2.2576) Prec@1 43.750 (43.451) Prec@5 74.375 (73.984) Epoch: [30][4240/11272] Time 0.788 (0.808) Data 0.001 (0.002) Loss 2.3413 (2.2575) Prec@1 50.000 (43.453) Prec@5 73.750 (73.986) Epoch: [30][4250/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.5453 (2.2573) Prec@1 38.750 (43.459) Prec@5 69.375 (73.992) Epoch: [30][4260/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.1131 (2.2570) Prec@1 44.375 (43.462) Prec@5 76.875 (73.997) Epoch: [30][4270/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.1999 (2.2569) Prec@1 44.375 (43.463) Prec@5 76.250 (73.998) Epoch: [30][4280/11272] Time 0.736 (0.808) Data 0.002 (0.002) Loss 2.6559 (2.2570) Prec@1 32.500 (43.458) Prec@5 64.375 (73.998) Epoch: [30][4290/11272] Time 0.734 (0.808) Data 0.001 (0.002) Loss 2.3624 (2.2566) Prec@1 42.500 (43.464) Prec@5 75.625 (74.006) Epoch: [30][4300/11272] Time 0.903 (0.808) Data 0.002 (0.002) Loss 2.3909 (2.2565) Prec@1 44.375 (43.466) Prec@5 71.875 (74.008) Epoch: [30][4310/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.3272 (2.2564) Prec@1 41.250 (43.472) Prec@5 72.500 (74.010) Epoch: [30][4320/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.1643 (2.2562) Prec@1 45.000 (43.473) Prec@5 71.250 (74.012) Epoch: [30][4330/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 2.1579 (2.2559) Prec@1 41.250 (43.479) Prec@5 75.625 (74.017) Epoch: [30][4340/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.3036 (2.2558) Prec@1 39.375 (43.482) Prec@5 71.250 (74.019) Epoch: [30][4350/11272] Time 0.810 (0.808) Data 0.001 (0.002) Loss 2.2078 (2.2557) Prec@1 37.500 (43.480) Prec@5 78.125 (74.021) Epoch: [30][4360/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 1.9740 (2.2556) Prec@1 48.125 (43.486) Prec@5 80.000 (74.022) Epoch: [30][4370/11272] Time 0.740 (0.808) Data 0.001 (0.002) Loss 2.3303 (2.2555) Prec@1 44.375 (43.488) Prec@5 71.875 (74.023) Epoch: [30][4380/11272] Time 0.835 (0.807) Data 0.003 (0.002) Loss 2.1804 (2.2554) Prec@1 45.000 (43.491) Prec@5 75.625 (74.023) Epoch: [30][4390/11272] Time 0.732 (0.807) Data 0.003 (0.002) Loss 2.1736 (2.2553) Prec@1 50.625 (43.494) Prec@5 73.750 (74.023) Epoch: [30][4400/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.2273 (2.2551) Prec@1 48.125 (43.501) Prec@5 71.250 (74.024) Epoch: [30][4410/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.2272 (2.2549) Prec@1 45.625 (43.505) Prec@5 76.875 (74.028) Epoch: [30][4420/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.1479 (2.2548) Prec@1 50.000 (43.507) Prec@5 73.750 (74.030) Epoch: [30][4430/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.1711 (2.2547) Prec@1 45.000 (43.507) Prec@5 75.000 (74.031) Epoch: [30][4440/11272] Time 0.767 (0.807) Data 0.001 (0.002) Loss 2.1414 (2.2546) Prec@1 51.250 (43.507) Prec@5 72.500 (74.031) Epoch: [30][4450/11272] Time 0.874 (0.807) Data 0.004 (0.002) Loss 2.3489 (2.2545) Prec@1 42.500 (43.508) Prec@5 74.375 (74.036) Epoch: [30][4460/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.4261 (2.2545) Prec@1 40.000 (43.508) Prec@5 68.125 (74.034) Epoch: [30][4470/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.0605 (2.2542) Prec@1 49.375 (43.512) Prec@5 78.125 (74.040) Epoch: [30][4480/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 2.2042 (2.2540) Prec@1 46.250 (43.517) Prec@5 76.875 (74.043) Epoch: [30][4490/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.2240 (2.2542) Prec@1 48.125 (43.511) Prec@5 73.125 (74.040) Epoch: [30][4500/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.4104 (2.2542) Prec@1 39.375 (43.510) Prec@5 70.625 (74.040) Epoch: [30][4510/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1356 (2.2539) Prec@1 51.250 (43.517) Prec@5 73.125 (74.046) Epoch: [30][4520/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.2543 (2.2539) Prec@1 46.875 (43.518) Prec@5 71.875 (74.047) Epoch: [30][4530/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.1741 (2.2539) Prec@1 43.125 (43.513) Prec@5 73.750 (74.044) Epoch: [30][4540/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 2.2461 (2.2537) Prec@1 42.500 (43.517) Prec@5 71.875 (74.047) Epoch: [30][4550/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.2585 (2.2537) Prec@1 46.875 (43.519) Prec@5 77.500 (74.052) Epoch: [30][4560/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.3026 (2.2533) Prec@1 41.250 (43.525) Prec@5 70.000 (74.057) Epoch: [30][4570/11272] Time 0.894 (0.807) Data 0.001 (0.002) Loss 1.9982 (2.2531) Prec@1 54.375 (43.532) Prec@5 78.750 (74.059) Epoch: [30][4580/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.4523 (2.2531) Prec@1 41.250 (43.529) Prec@5 69.375 (74.059) Epoch: [30][4590/11272] Time 0.722 (0.807) Data 0.001 (0.002) Loss 1.9295 (2.2529) Prec@1 50.625 (43.535) Prec@5 79.375 (74.063) Epoch: [30][4600/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.0777 (2.2528) Prec@1 45.625 (43.536) Prec@5 76.250 (74.065) Epoch: [30][4610/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 1.9731 (2.2527) Prec@1 48.125 (43.537) Prec@5 81.250 (74.067) Epoch: [30][4620/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.4957 (2.2526) Prec@1 41.250 (43.538) Prec@5 70.625 (74.068) Epoch: [30][4630/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.0890 (2.2525) Prec@1 50.000 (43.544) Prec@5 76.875 (74.070) Epoch: [30][4640/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 1.9532 (2.2522) Prec@1 50.625 (43.550) Prec@5 80.000 (74.076) Epoch: [30][4650/11272] Time 0.741 (0.807) Data 0.003 (0.002) Loss 2.2111 (2.2523) Prec@1 41.875 (43.550) Prec@5 76.250 (74.074) Epoch: [30][4660/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.2880 (2.2522) Prec@1 44.375 (43.555) Prec@5 72.500 (74.075) Epoch: [30][4670/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 1.7735 (2.2520) Prec@1 56.250 (43.561) Prec@5 83.750 (74.081) Epoch: [30][4680/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.4264 (2.2520) Prec@1 43.750 (43.561) Prec@5 70.625 (74.080) Epoch: [30][4690/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.0884 (2.2519) Prec@1 50.625 (43.565) Prec@5 78.750 (74.078) Epoch: [30][4700/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.1872 (2.2517) Prec@1 45.625 (43.568) Prec@5 75.000 (74.083) Epoch: [30][4710/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.1319 (2.2514) Prec@1 46.250 (43.575) Prec@5 75.625 (74.088) Epoch: [30][4720/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.1823 (2.2513) Prec@1 45.625 (43.580) Prec@5 76.250 (74.090) Epoch: [30][4730/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.1847 (2.2512) Prec@1 43.125 (43.580) Prec@5 73.125 (74.091) Epoch: [30][4740/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.2959 (2.2510) Prec@1 41.875 (43.584) Prec@5 73.750 (74.096) Epoch: [30][4750/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.2734 (2.2511) Prec@1 45.000 (43.584) Prec@5 67.500 (74.095) Epoch: [30][4760/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.3792 (2.2508) Prec@1 39.375 (43.589) Prec@5 72.500 (74.101) Epoch: [30][4770/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.3699 (2.2506) Prec@1 40.000 (43.589) Prec@5 70.625 (74.105) Epoch: [30][4780/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.2560 (2.2505) Prec@1 45.625 (43.596) Prec@5 75.625 (74.107) Epoch: [30][4790/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.2691 (2.2504) Prec@1 42.500 (43.599) Prec@5 70.625 (74.109) Epoch: [30][4800/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.5469 (2.2504) Prec@1 38.125 (43.597) Prec@5 67.500 (74.107) Epoch: [30][4810/11272] Time 0.774 (0.807) Data 0.001 (0.002) Loss 2.0113 (2.2505) Prec@1 43.125 (43.595) Prec@5 78.750 (74.107) Epoch: [30][4820/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.0786 (2.2505) Prec@1 44.375 (43.593) Prec@5 78.750 (74.105) Epoch: [30][4830/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 2.1005 (2.2504) Prec@1 46.250 (43.594) Prec@5 75.000 (74.106) Epoch: [30][4840/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.2127 (2.2504) Prec@1 43.750 (43.589) Prec@5 75.625 (74.105) Epoch: [30][4850/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 1.9992 (2.2503) Prec@1 45.625 (43.591) Prec@5 77.500 (74.107) Epoch: [30][4860/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 1.8937 (2.2500) Prec@1 53.125 (43.595) Prec@5 80.000 (74.112) Epoch: [30][4870/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.3064 (2.2499) Prec@1 40.000 (43.600) Prec@5 73.125 (74.114) Epoch: [30][4880/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.2541 (2.2498) Prec@1 41.875 (43.603) Prec@5 70.000 (74.114) Epoch: [30][4890/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.4197 (2.2495) Prec@1 38.750 (43.609) Prec@5 68.750 (74.117) Epoch: [30][4900/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.1867 (2.2494) Prec@1 43.125 (43.610) Prec@5 76.250 (74.120) Epoch: [30][4910/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.4138 (2.2492) Prec@1 35.000 (43.614) Prec@5 74.375 (74.123) Epoch: [30][4920/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.1824 (2.2491) Prec@1 43.125 (43.614) Prec@5 72.500 (74.123) Epoch: [30][4930/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 2.4102 (2.2490) Prec@1 40.625 (43.613) Prec@5 70.625 (74.126) Epoch: [30][4940/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.4888 (2.2488) Prec@1 46.875 (43.617) Prec@5 69.375 (74.131) Epoch: [30][4950/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.0786 (2.2487) Prec@1 50.000 (43.619) Prec@5 75.625 (74.132) Epoch: [30][4960/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.1595 (2.2487) Prec@1 48.750 (43.616) Prec@5 78.750 (74.134) Epoch: [30][4970/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.2603 (2.2486) Prec@1 44.375 (43.621) Prec@5 73.125 (74.137) Epoch: [30][4980/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 2.2516 (2.2485) Prec@1 40.000 (43.622) Prec@5 77.500 (74.139) Epoch: [30][4990/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.2024 (2.2483) Prec@1 41.875 (43.625) Prec@5 78.750 (74.142) Epoch: [30][5000/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.1234 (2.2483) Prec@1 50.000 (43.626) Prec@5 75.625 (74.144) Epoch: [30][5010/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.3690 (2.2482) Prec@1 37.500 (43.622) Prec@5 75.000 (74.145) Epoch: [30][5020/11272] Time 0.830 (0.806) Data 0.002 (0.002) Loss 2.1205 (2.2480) Prec@1 45.625 (43.627) Prec@5 76.875 (74.147) Epoch: [30][5030/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.2525 (2.2480) Prec@1 45.625 (43.629) Prec@5 75.625 (74.150) Epoch: [30][5040/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.2443 (2.2479) Prec@1 48.750 (43.637) Prec@5 73.125 (74.152) Epoch: [30][5050/11272] Time 0.843 (0.806) Data 0.001 (0.002) Loss 2.1497 (2.2477) Prec@1 48.125 (43.641) Prec@5 75.000 (74.155) Epoch: [30][5060/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.3239 (2.2475) Prec@1 40.000 (43.642) Prec@5 70.625 (74.158) Epoch: [30][5070/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.2262 (2.2475) Prec@1 45.000 (43.644) Prec@5 78.750 (74.160) Epoch: [30][5080/11272] Time 0.904 (0.806) Data 0.002 (0.002) Loss 2.1856 (2.2474) Prec@1 43.125 (43.647) Prec@5 75.625 (74.161) Epoch: [30][5090/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.2365 (2.2472) Prec@1 45.000 (43.650) Prec@5 75.000 (74.164) Epoch: [30][5100/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.2918 (2.2472) Prec@1 41.250 (43.651) Prec@5 76.875 (74.164) Epoch: [30][5110/11272] Time 0.752 (0.806) Data 0.002 (0.002) Loss 2.3556 (2.2469) Prec@1 41.250 (43.655) Prec@5 71.250 (74.170) Epoch: [30][5120/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.2363 (2.2468) Prec@1 41.875 (43.657) Prec@5 78.125 (74.173) Epoch: [30][5130/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.2653 (2.2467) Prec@1 45.000 (43.663) Prec@5 74.375 (74.179) Epoch: [30][5140/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 1.8833 (2.2466) Prec@1 47.500 (43.661) Prec@5 79.375 (74.180) Epoch: [30][5150/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.2825 (2.2465) Prec@1 41.875 (43.662) Prec@5 71.875 (74.180) Epoch: [30][5160/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.2621 (2.2463) Prec@1 43.125 (43.666) Prec@5 72.500 (74.183) Epoch: [30][5170/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.2966 (2.2463) Prec@1 42.500 (43.664) Prec@5 71.875 (74.183) Epoch: [30][5180/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.3866 (2.2463) Prec@1 39.375 (43.667) Prec@5 71.875 (74.183) Epoch: [30][5190/11272] Time 0.817 (0.806) Data 0.002 (0.002) Loss 2.2016 (2.2461) Prec@1 46.875 (43.670) Prec@5 76.875 (74.187) Epoch: [30][5200/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.0714 (2.2459) Prec@1 46.875 (43.674) Prec@5 76.250 (74.191) Epoch: [30][5210/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 2.1169 (2.2459) Prec@1 46.875 (43.675) Prec@5 73.125 (74.188) Epoch: [30][5220/11272] Time 0.779 (0.806) Data 0.002 (0.002) Loss 2.2110 (2.2459) Prec@1 46.875 (43.674) Prec@5 73.125 (74.186) Epoch: [30][5230/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.2813 (2.2459) Prec@1 42.500 (43.675) Prec@5 72.500 (74.186) Epoch: [30][5240/11272] Time 0.868 (0.806) Data 0.001 (0.002) Loss 2.1703 (2.2458) Prec@1 45.000 (43.675) Prec@5 70.000 (74.186) Epoch: [30][5250/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.4588 (2.2456) Prec@1 36.250 (43.680) Prec@5 74.375 (74.192) Epoch: [30][5260/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.1861 (2.2455) Prec@1 46.875 (43.679) Prec@5 73.750 (74.195) Epoch: [30][5270/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 1.9690 (2.2454) Prec@1 51.875 (43.681) Prec@5 76.875 (74.195) Epoch: [30][5280/11272] Time 0.819 (0.806) Data 0.001 (0.002) Loss 1.9721 (2.2453) Prec@1 51.250 (43.682) Prec@5 81.250 (74.198) Epoch: [30][5290/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.0299 (2.2452) Prec@1 50.000 (43.684) Prec@5 78.750 (74.199) Epoch: [30][5300/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.3271 (2.2452) Prec@1 40.625 (43.684) Prec@5 68.125 (74.198) Epoch: [30][5310/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.0350 (2.2451) Prec@1 51.250 (43.689) Prec@5 79.375 (74.203) Epoch: [30][5320/11272] Time 0.733 (0.806) Data 0.004 (0.002) Loss 2.2264 (2.2450) Prec@1 40.000 (43.692) Prec@5 75.000 (74.206) Epoch: [30][5330/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.1065 (2.2449) Prec@1 43.750 (43.693) Prec@5 75.000 (74.207) Epoch: [30][5340/11272] Time 0.849 (0.806) Data 0.002 (0.002) Loss 2.1665 (2.2447) Prec@1 45.000 (43.696) Prec@5 71.875 (74.213) Epoch: [30][5350/11272] Time 0.842 (0.806) Data 0.001 (0.002) Loss 1.9458 (2.2447) Prec@1 45.625 (43.695) Prec@5 77.500 (74.213) Epoch: [30][5360/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.3514 (2.2447) Prec@1 45.625 (43.697) Prec@5 73.125 (74.215) Epoch: [30][5370/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 1.9046 (2.2445) Prec@1 48.125 (43.698) Prec@5 80.000 (74.221) Epoch: [30][5380/11272] Time 0.864 (0.806) Data 0.001 (0.002) Loss 2.3807 (2.2444) Prec@1 40.625 (43.703) Prec@5 68.750 (74.220) Epoch: [30][5390/11272] Time 0.894 (0.806) Data 0.002 (0.002) Loss 2.0350 (2.2443) Prec@1 45.625 (43.705) Prec@5 79.375 (74.223) Epoch: [30][5400/11272] Time 0.781 (0.806) Data 0.002 (0.002) Loss 1.7479 (2.2441) Prec@1 50.625 (43.706) Prec@5 81.875 (74.227) Epoch: [30][5410/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.1066 (2.2439) Prec@1 50.625 (43.712) Prec@5 76.875 (74.231) Epoch: [30][5420/11272] Time 0.849 (0.806) Data 0.001 (0.002) Loss 2.0137 (2.2438) Prec@1 51.875 (43.713) Prec@5 77.500 (74.234) Epoch: [30][5430/11272] Time 0.878 (0.806) Data 0.001 (0.002) Loss 2.1729 (2.2436) Prec@1 45.000 (43.715) Prec@5 78.125 (74.238) Epoch: [30][5440/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.1438 (2.2435) Prec@1 44.375 (43.719) Prec@5 75.625 (74.241) Epoch: [30][5450/11272] Time 0.833 (0.806) Data 0.002 (0.002) Loss 2.3961 (2.2434) Prec@1 40.000 (43.722) Prec@5 71.250 (74.242) Epoch: [30][5460/11272] Time 0.843 (0.806) Data 0.002 (0.002) Loss 2.1972 (2.2433) Prec@1 43.750 (43.724) Prec@5 74.375 (74.246) Epoch: [30][5470/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.3714 (2.2432) Prec@1 41.250 (43.724) Prec@5 72.500 (74.246) Epoch: [30][5480/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 2.4311 (2.2430) Prec@1 41.250 (43.724) Prec@5 77.500 (74.249) Epoch: [30][5490/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 2.2689 (2.2431) Prec@1 43.125 (43.724) Prec@5 73.750 (74.247) Epoch: [30][5500/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.4125 (2.2431) Prec@1 40.000 (43.725) Prec@5 71.875 (74.247) Epoch: [30][5510/11272] Time 0.773 (0.806) Data 0.002 (0.002) Loss 2.3236 (2.2431) Prec@1 43.125 (43.725) Prec@5 73.125 (74.247) Epoch: [30][5520/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.2658 (2.2428) Prec@1 46.250 (43.733) Prec@5 75.000 (74.253) Epoch: [30][5530/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 2.1695 (2.2427) Prec@1 43.750 (43.734) Prec@5 73.750 (74.256) Epoch: [30][5540/11272] Time 0.831 (0.806) Data 0.002 (0.002) Loss 2.1216 (2.2426) Prec@1 42.500 (43.737) Prec@5 73.750 (74.259) Epoch: [30][5550/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.2788 (2.2425) Prec@1 43.750 (43.738) Prec@5 73.750 (74.259) Epoch: [30][5560/11272] Time 0.768 (0.806) Data 0.002 (0.002) Loss 2.1118 (2.2424) Prec@1 48.125 (43.741) Prec@5 73.750 (74.260) Epoch: [30][5570/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.1593 (2.2423) Prec@1 45.625 (43.738) Prec@5 78.125 (74.263) Epoch: [30][5580/11272] Time 0.728 (0.806) Data 0.003 (0.002) Loss 2.3729 (2.2423) Prec@1 39.375 (43.734) Prec@5 70.625 (74.263) Epoch: [30][5590/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.6100 (2.2423) Prec@1 36.875 (43.731) Prec@5 67.500 (74.262) Epoch: [30][5600/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.2477 (2.2422) Prec@1 45.625 (43.731) Prec@5 73.750 (74.265) Epoch: [30][5610/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.0830 (2.2421) Prec@1 46.875 (43.737) Prec@5 78.750 (74.267) Epoch: [30][5620/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.3452 (2.2421) Prec@1 41.250 (43.738) Prec@5 71.875 (74.266) Epoch: [30][5630/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.3049 (2.2420) Prec@1 44.375 (43.736) Prec@5 71.250 (74.266) Epoch: [30][5640/11272] Time 0.907 (0.806) Data 0.002 (0.002) Loss 2.0128 (2.2421) Prec@1 50.625 (43.735) Prec@5 78.125 (74.265) Epoch: [30][5650/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 2.0735 (2.2419) Prec@1 48.125 (43.737) Prec@5 74.375 (74.268) Epoch: [30][5660/11272] Time 0.736 (0.806) Data 0.002 (0.002) Loss 2.2955 (2.2419) Prec@1 44.375 (43.741) Prec@5 73.750 (74.268) Epoch: [30][5670/11272] Time 0.738 (0.806) Data 0.002 (0.002) Loss 2.1252 (2.2417) Prec@1 45.625 (43.745) Prec@5 73.750 (74.270) Epoch: [30][5680/11272] Time 0.856 (0.806) Data 0.002 (0.002) Loss 2.3029 (2.2417) Prec@1 41.250 (43.746) Prec@5 72.500 (74.271) Epoch: [30][5690/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.0798 (2.2416) Prec@1 49.375 (43.748) Prec@5 78.125 (74.271) Epoch: [30][5700/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.1438 (2.2415) Prec@1 43.125 (43.747) Prec@5 75.625 (74.273) Epoch: [30][5710/11272] Time 0.828 (0.806) Data 0.002 (0.002) Loss 1.9840 (2.2414) Prec@1 48.125 (43.751) Prec@5 78.125 (74.276) Epoch: [30][5720/11272] Time 0.835 (0.806) Data 0.002 (0.002) Loss 2.1782 (2.2412) Prec@1 45.000 (43.755) Prec@5 77.500 (74.279) Epoch: [30][5730/11272] Time 0.740 (0.806) Data 0.001 (0.002) Loss 1.9615 (2.2411) Prec@1 48.125 (43.757) Prec@5 78.125 (74.278) Epoch: [30][5740/11272] Time 0.751 (0.806) Data 0.002 (0.002) Loss 2.4178 (2.2410) Prec@1 41.250 (43.757) Prec@5 70.000 (74.280) Epoch: [30][5750/11272] Time 0.835 (0.806) Data 0.002 (0.002) Loss 2.1525 (2.2409) Prec@1 46.250 (43.756) Prec@5 75.000 (74.282) Epoch: [30][5760/11272] Time 0.838 (0.806) Data 0.002 (0.002) Loss 2.1052 (2.2408) Prec@1 44.375 (43.756) Prec@5 75.000 (74.283) Epoch: [30][5770/11272] Time 0.712 (0.806) Data 0.001 (0.002) Loss 2.1676 (2.2407) Prec@1 44.375 (43.759) Prec@5 71.875 (74.284) Epoch: [30][5780/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.1771 (2.2407) Prec@1 46.875 (43.761) Prec@5 75.000 (74.284) Epoch: [30][5790/11272] Time 0.837 (0.806) Data 0.001 (0.002) Loss 2.0136 (2.2406) Prec@1 45.000 (43.763) Prec@5 76.250 (74.286) Epoch: [30][5800/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.2470 (2.2405) Prec@1 45.000 (43.766) Prec@5 73.125 (74.287) Epoch: [30][5810/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 1.9438 (2.2404) Prec@1 45.000 (43.765) Prec@5 81.875 (74.291) Epoch: [30][5820/11272] Time 0.732 (0.806) Data 0.002 (0.002) Loss 2.3358 (2.2403) Prec@1 40.625 (43.765) Prec@5 71.875 (74.291) Epoch: [30][5830/11272] Time 0.911 (0.806) Data 0.002 (0.002) Loss 2.2690 (2.2403) Prec@1 48.750 (43.767) Prec@5 75.625 (74.294) Epoch: [30][5840/11272] Time 0.822 (0.806) Data 0.002 (0.002) Loss 2.1843 (2.2402) Prec@1 43.750 (43.773) Prec@5 75.000 (74.295) Epoch: [30][5850/11272] Time 0.767 (0.806) Data 0.002 (0.002) Loss 2.3704 (2.2402) Prec@1 36.875 (43.773) Prec@5 75.625 (74.297) Epoch: [30][5860/11272] Time 0.864 (0.806) Data 0.002 (0.002) Loss 2.4441 (2.2401) Prec@1 37.500 (43.771) Prec@5 73.125 (74.299) Epoch: [30][5870/11272] Time 0.849 (0.806) Data 0.002 (0.002) Loss 2.1319 (2.2399) Prec@1 48.125 (43.775) Prec@5 78.125 (74.302) Epoch: [30][5880/11272] Time 0.729 (0.806) Data 0.002 (0.002) Loss 2.2990 (2.2399) Prec@1 48.125 (43.775) Prec@5 70.000 (74.302) Epoch: [30][5890/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 1.9405 (2.2397) Prec@1 50.625 (43.778) Prec@5 78.750 (74.304) Epoch: [30][5900/11272] Time 0.844 (0.806) Data 0.002 (0.002) Loss 2.1770 (2.2397) Prec@1 45.625 (43.778) Prec@5 75.000 (74.304) Epoch: [30][5910/11272] Time 0.832 (0.806) Data 0.001 (0.002) Loss 2.0314 (2.2395) Prec@1 45.625 (43.779) Prec@5 79.375 (74.308) Epoch: [30][5920/11272] Time 0.777 (0.806) Data 0.002 (0.002) Loss 2.2500 (2.2394) Prec@1 42.500 (43.784) Prec@5 71.875 (74.310) Epoch: [30][5930/11272] Time 0.795 (0.806) Data 0.002 (0.002) Loss 1.9779 (2.2393) Prec@1 47.500 (43.781) Prec@5 81.250 (74.312) Epoch: [30][5940/11272] Time 0.853 (0.806) Data 0.001 (0.002) Loss 1.9924 (2.2392) Prec@1 45.000 (43.782) Prec@5 78.125 (74.314) Epoch: [30][5950/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 2.4205 (2.2391) Prec@1 33.125 (43.782) Prec@5 71.250 (74.316) Epoch: [30][5960/11272] Time 0.738 (0.806) Data 0.002 (0.002) Loss 2.3581 (2.2390) Prec@1 41.250 (43.786) Prec@5 79.375 (74.316) Epoch: [30][5970/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 2.0206 (2.2389) Prec@1 47.500 (43.789) Prec@5 76.250 (74.318) Epoch: [30][5980/11272] Time 0.834 (0.806) Data 0.001 (0.002) Loss 2.0757 (2.2388) Prec@1 49.375 (43.791) Prec@5 76.875 (74.321) Epoch: [30][5990/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.1527 (2.2387) Prec@1 52.500 (43.795) Prec@5 73.750 (74.325) Epoch: [30][6000/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.0244 (2.2386) Prec@1 45.625 (43.797) Prec@5 79.375 (74.327) Epoch: [30][6010/11272] Time 0.891 (0.806) Data 0.002 (0.002) Loss 2.3971 (2.2385) Prec@1 41.250 (43.798) Prec@5 72.500 (74.329) Epoch: [30][6020/11272] Time 0.896 (0.806) Data 0.002 (0.002) Loss 2.2209 (2.2386) Prec@1 46.875 (43.797) Prec@5 70.000 (74.326) Epoch: [30][6030/11272] Time 0.726 (0.806) Data 0.002 (0.002) Loss 2.0720 (2.2386) Prec@1 43.125 (43.796) Prec@5 76.250 (74.326) Epoch: [30][6040/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 2.0443 (2.2385) Prec@1 47.500 (43.797) Prec@5 77.500 (74.327) Epoch: [30][6050/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 2.1513 (2.2385) Prec@1 43.125 (43.797) Prec@5 73.750 (74.327) Epoch: [30][6060/11272] Time 0.885 (0.806) Data 0.001 (0.002) Loss 2.3216 (2.2383) Prec@1 40.625 (43.801) Prec@5 71.875 (74.330) Epoch: [30][6070/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 1.9337 (2.2382) Prec@1 45.000 (43.803) Prec@5 80.625 (74.331) Epoch: [30][6080/11272] Time 0.733 (0.805) Data 0.002 (0.002) Loss 2.2844 (2.2382) Prec@1 43.750 (43.803) Prec@5 73.750 (74.331) Epoch: [30][6090/11272] Time 0.864 (0.805) Data 0.002 (0.002) Loss 2.1477 (2.2380) Prec@1 44.375 (43.806) Prec@5 76.250 (74.332) Epoch: [30][6100/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.4200 (2.2380) Prec@1 35.000 (43.803) Prec@5 72.500 (74.333) Epoch: [30][6110/11272] Time 0.779 (0.805) Data 0.002 (0.002) Loss 2.1394 (2.2380) Prec@1 48.750 (43.803) Prec@5 78.750 (74.333) Epoch: [30][6120/11272] Time 0.882 (0.806) Data 0.002 (0.002) Loss 2.1491 (2.2378) Prec@1 46.875 (43.807) Prec@5 76.875 (74.336) Epoch: [30][6130/11272] Time 0.813 (0.806) Data 0.001 (0.002) Loss 2.0750 (2.2377) Prec@1 50.000 (43.812) Prec@5 80.000 (74.340) Epoch: [30][6140/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.1395 (2.2376) Prec@1 36.875 (43.812) Prec@5 75.625 (74.341) Epoch: [30][6150/11272] Time 0.761 (0.805) Data 0.002 (0.002) Loss 2.3465 (2.2376) Prec@1 40.000 (43.812) Prec@5 73.125 (74.342) Epoch: [30][6160/11272] Time 0.877 (0.805) Data 0.001 (0.002) Loss 2.1238 (2.2376) Prec@1 43.125 (43.811) Prec@5 75.625 (74.342) Epoch: [30][6170/11272] Time 0.880 (0.805) Data 0.002 (0.002) Loss 2.0578 (2.2377) Prec@1 47.500 (43.809) Prec@5 75.625 (74.342) Epoch: [30][6180/11272] Time 0.757 (0.805) Data 0.002 (0.002) Loss 2.0144 (2.2376) Prec@1 48.125 (43.811) Prec@5 78.125 (74.341) Epoch: [30][6190/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.3001 (2.2376) Prec@1 41.875 (43.811) Prec@5 70.625 (74.342) Epoch: [30][6200/11272] Time 0.855 (0.805) Data 0.002 (0.002) Loss 2.3438 (2.2376) Prec@1 45.625 (43.811) Prec@5 71.875 (74.341) Epoch: [30][6210/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.4104 (2.2375) Prec@1 43.750 (43.811) Prec@5 71.250 (74.341) Epoch: [30][6220/11272] Time 0.750 (0.805) Data 0.002 (0.002) Loss 2.2425 (2.2374) Prec@1 42.500 (43.813) Prec@5 77.500 (74.343) Epoch: [30][6230/11272] Time 0.735 (0.805) Data 0.002 (0.002) Loss 2.2922 (2.2373) Prec@1 48.125 (43.817) Prec@5 73.125 (74.346) Epoch: [30][6240/11272] Time 0.815 (0.805) Data 0.001 (0.002) Loss 1.9960 (2.2373) Prec@1 45.625 (43.819) Prec@5 80.000 (74.346) Epoch: [30][6250/11272] Time 0.741 (0.805) Data 0.003 (0.002) Loss 1.9999 (2.2373) Prec@1 51.875 (43.821) Prec@5 79.375 (74.346) Epoch: [30][6260/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.0667 (2.2372) Prec@1 49.375 (43.822) Prec@5 77.500 (74.349) Epoch: [30][6270/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 2.1363 (2.2370) Prec@1 45.000 (43.826) Prec@5 71.875 (74.353) Epoch: [30][6280/11272] Time 0.831 (0.805) Data 0.002 (0.002) Loss 2.1729 (2.2369) Prec@1 41.875 (43.826) Prec@5 77.500 (74.355) Epoch: [30][6290/11272] Time 0.737 (0.805) Data 0.002 (0.002) Loss 2.1785 (2.2369) Prec@1 45.000 (43.827) Prec@5 80.000 (74.357) Epoch: [30][6300/11272] Time 0.731 (0.805) Data 0.002 (0.002) Loss 2.2092 (2.2369) Prec@1 48.125 (43.827) Prec@5 75.000 (74.357) Epoch: [30][6310/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 2.0634 (2.2369) Prec@1 46.875 (43.829) Prec@5 80.000 (74.358) Epoch: [30][6320/11272] Time 0.830 (0.805) Data 0.001 (0.002) Loss 2.1863 (2.2368) Prec@1 44.375 (43.830) Prec@5 76.875 (74.359) Epoch: [30][6330/11272] Time 0.732 (0.805) Data 0.002 (0.002) Loss 2.4326 (2.2368) Prec@1 41.250 (43.829) Prec@5 70.000 (74.359) Epoch: [30][6340/11272] Time 0.744 (0.805) Data 0.001 (0.002) Loss 2.1264 (2.2368) Prec@1 52.500 (43.832) Prec@5 76.250 (74.363) Epoch: [30][6350/11272] Time 0.890 (0.805) Data 0.001 (0.002) Loss 2.3226 (2.2367) Prec@1 41.875 (43.832) Prec@5 71.250 (74.363) Epoch: [30][6360/11272] Time 0.823 (0.805) Data 0.002 (0.002) Loss 2.1686 (2.2367) Prec@1 43.750 (43.831) Prec@5 75.000 (74.366) Epoch: [30][6370/11272] Time 0.749 (0.805) Data 0.002 (0.002) Loss 1.8285 (2.2366) Prec@1 53.750 (43.832) Prec@5 81.250 (74.366) Epoch: [30][6380/11272] Time 0.934 (0.805) Data 0.001 (0.002) Loss 2.0570 (2.2365) Prec@1 51.875 (43.835) Prec@5 78.750 (74.368) Epoch: [30][6390/11272] Time 0.908 (0.805) Data 0.002 (0.002) Loss 2.3046 (2.2365) Prec@1 41.875 (43.835) Prec@5 76.875 (74.368) Epoch: [30][6400/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.4495 (2.2365) Prec@1 38.125 (43.837) Prec@5 67.500 (74.368) Epoch: [30][6410/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.3919 (2.2364) Prec@1 38.125 (43.839) Prec@5 72.500 (74.370) Epoch: [30][6420/11272] Time 0.880 (0.805) Data 0.002 (0.002) Loss 2.5636 (2.2365) Prec@1 31.875 (43.837) Prec@5 69.375 (74.369) Epoch: [30][6430/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.3577 (2.2363) Prec@1 45.625 (43.842) Prec@5 76.875 (74.373) Epoch: [30][6440/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.2609 (2.2361) Prec@1 44.375 (43.845) Prec@5 70.000 (74.375) Epoch: [30][6450/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.1587 (2.2361) Prec@1 41.250 (43.848) Prec@5 80.625 (74.377) Epoch: [30][6460/11272] Time 0.838 (0.805) Data 0.002 (0.002) Loss 2.1446 (2.2359) Prec@1 40.000 (43.849) Prec@5 78.125 (74.380) Epoch: [30][6470/11272] Time 0.850 (0.805) Data 0.001 (0.002) Loss 2.1650 (2.2359) Prec@1 42.500 (43.847) Prec@5 75.625 (74.383) Epoch: [30][6480/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.2281 (2.2359) Prec@1 44.375 (43.848) Prec@5 75.000 (74.384) Epoch: [30][6490/11272] Time 0.787 (0.805) Data 0.002 (0.002) Loss 2.1471 (2.2357) Prec@1 45.000 (43.851) Prec@5 75.625 (74.387) Epoch: [30][6500/11272] Time 0.852 (0.805) Data 0.002 (0.002) Loss 2.1736 (2.2355) Prec@1 43.750 (43.852) Prec@5 76.875 (74.392) Epoch: [30][6510/11272] Time 0.724 (0.805) Data 0.003 (0.002) Loss 1.9820 (2.2355) Prec@1 51.875 (43.853) Prec@5 82.500 (74.393) Epoch: [30][6520/11272] Time 0.737 (0.805) Data 0.002 (0.002) Loss 2.2345 (2.2355) Prec@1 44.375 (43.851) Prec@5 73.750 (74.391) Epoch: [30][6530/11272] Time 0.879 (0.805) Data 0.001 (0.002) Loss 2.1413 (2.2355) Prec@1 46.250 (43.852) Prec@5 74.375 (74.393) Epoch: [30][6540/11272] Time 0.828 (0.805) Data 0.002 (0.002) Loss 2.1019 (2.2355) Prec@1 43.125 (43.850) Prec@5 76.875 (74.394) Epoch: [30][6550/11272] Time 0.765 (0.805) Data 0.002 (0.002) Loss 2.2824 (2.2355) Prec@1 43.750 (43.850) Prec@5 73.750 (74.392) Epoch: [30][6560/11272] Time 0.723 (0.805) Data 0.002 (0.002) Loss 2.3313 (2.2355) Prec@1 45.625 (43.852) Prec@5 69.375 (74.390) Epoch: [30][6570/11272] Time 0.917 (0.805) Data 0.002 (0.002) Loss 2.2689 (2.2353) Prec@1 43.750 (43.854) Prec@5 73.125 (74.394) Epoch: [30][6580/11272] Time 0.862 (0.805) Data 0.002 (0.002) Loss 1.9212 (2.2354) Prec@1 50.000 (43.854) Prec@5 79.375 (74.393) Epoch: [30][6590/11272] Time 0.759 (0.805) Data 0.002 (0.002) Loss 2.1199 (2.2354) Prec@1 44.375 (43.851) Prec@5 76.250 (74.392) Epoch: [30][6600/11272] Time 0.784 (0.805) Data 0.002 (0.002) Loss 2.2338 (2.2353) Prec@1 42.500 (43.856) Prec@5 76.250 (74.396) Epoch: [30][6610/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.2607 (2.2353) Prec@1 42.500 (43.856) Prec@5 73.125 (74.395) Epoch: [30][6620/11272] Time 0.853 (0.805) Data 0.002 (0.002) Loss 2.4280 (2.2353) Prec@1 35.625 (43.856) Prec@5 72.500 (74.394) Epoch: [30][6630/11272] Time 0.756 (0.805) Data 0.001 (0.002) Loss 1.9748 (2.2352) Prec@1 51.250 (43.857) Prec@5 78.125 (74.396) Epoch: [30][6640/11272] Time 0.813 (0.805) Data 0.002 (0.002) Loss 2.4832 (2.2351) Prec@1 35.625 (43.856) Prec@5 71.250 (74.398) Epoch: [30][6650/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 2.2911 (2.2351) Prec@1 43.125 (43.856) Prec@5 72.500 (74.399) Epoch: [30][6660/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 2.2060 (2.2350) Prec@1 45.000 (43.857) Prec@5 78.750 (74.401) Epoch: [30][6670/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.2873 (2.2348) Prec@1 46.250 (43.861) Prec@5 73.750 (74.405) Epoch: [30][6680/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.3995 (2.2347) Prec@1 38.125 (43.863) Prec@5 70.625 (74.406) Epoch: [30][6690/11272] Time 0.830 (0.805) Data 0.001 (0.002) Loss 2.1721 (2.2346) Prec@1 42.500 (43.866) Prec@5 75.625 (74.407) Epoch: [30][6700/11272] Time 0.762 (0.805) Data 0.002 (0.002) Loss 2.1648 (2.2347) Prec@1 45.000 (43.864) Prec@5 76.875 (74.406) Epoch: [30][6710/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 1.8625 (2.2346) Prec@1 52.500 (43.863) Prec@5 82.500 (74.406) Epoch: [30][6720/11272] Time 0.861 (0.805) Data 0.002 (0.002) Loss 2.1861 (2.2346) Prec@1 50.625 (43.865) Prec@5 77.500 (74.406) Epoch: [30][6730/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.2932 (2.2344) Prec@1 40.625 (43.867) Prec@5 68.750 (74.408) Epoch: [30][6740/11272] Time 0.772 (0.805) Data 0.001 (0.002) Loss 2.1979 (2.2344) Prec@1 43.750 (43.867) Prec@5 77.500 (74.411) Epoch: [30][6750/11272] Time 0.759 (0.805) Data 0.002 (0.002) Loss 2.0421 (2.2343) Prec@1 43.125 (43.867) Prec@5 78.750 (74.412) Epoch: [30][6760/11272] Time 0.836 (0.805) Data 0.002 (0.002) Loss 1.9559 (2.2342) Prec@1 50.000 (43.869) Prec@5 78.750 (74.415) Epoch: [30][6770/11272] Time 0.831 (0.805) Data 0.001 (0.002) Loss 1.9608 (2.2340) Prec@1 45.000 (43.873) Prec@5 81.875 (74.420) Epoch: [30][6780/11272] Time 0.740 (0.805) Data 0.002 (0.002) Loss 2.1905 (2.2339) Prec@1 46.250 (43.876) Prec@5 73.750 (74.419) Epoch: [30][6790/11272] Time 0.891 (0.805) Data 0.002 (0.002) Loss 2.0721 (2.2338) Prec@1 45.000 (43.878) Prec@5 78.750 (74.421) Epoch: [30][6800/11272] Time 0.879 (0.805) Data 0.001 (0.002) Loss 2.2431 (2.2336) Prec@1 42.500 (43.882) Prec@5 75.625 (74.425) Epoch: [30][6810/11272] Time 0.750 (0.805) Data 0.001 (0.002) Loss 2.0417 (2.2336) Prec@1 50.000 (43.883) Prec@5 77.500 (74.425) Epoch: [30][6820/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.1343 (2.2334) Prec@1 44.375 (43.886) Prec@5 76.875 (74.429) Epoch: [30][6830/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 2.2046 (2.2333) Prec@1 42.500 (43.888) Prec@5 72.500 (74.432) Epoch: [30][6840/11272] Time 0.851 (0.805) Data 0.001 (0.002) Loss 2.1815 (2.2332) Prec@1 46.875 (43.889) Prec@5 76.250 (74.433) Epoch: [30][6850/11272] Time 0.760 (0.805) Data 0.002 (0.002) Loss 2.3707 (2.2332) Prec@1 43.750 (43.892) Prec@5 72.500 (74.433) Epoch: [30][6860/11272] Time 0.746 (0.805) Data 0.002 (0.002) Loss 2.0983 (2.2331) Prec@1 50.625 (43.896) Prec@5 75.000 (74.435) Epoch: [30][6870/11272] Time 0.844 (0.805) Data 0.001 (0.002) Loss 2.1911 (2.2330) Prec@1 41.875 (43.897) Prec@5 75.000 (74.437) Epoch: [30][6880/11272] Time 0.832 (0.805) Data 0.001 (0.002) Loss 2.1100 (2.2329) Prec@1 46.250 (43.899) Prec@5 75.000 (74.439) Epoch: [30][6890/11272] Time 0.742 (0.805) Data 0.002 (0.002) Loss 2.0986 (2.2328) Prec@1 50.625 (43.903) Prec@5 76.875 (74.442) Epoch: [30][6900/11272] Time 0.774 (0.805) Data 0.002 (0.002) Loss 2.1330 (2.2328) Prec@1 45.000 (43.903) Prec@5 75.625 (74.442) Epoch: [30][6910/11272] Time 0.846 (0.805) Data 0.001 (0.002) Loss 2.2360 (2.2326) Prec@1 45.625 (43.903) Prec@5 76.875 (74.444) Epoch: [30][6920/11272] Time 0.738 (0.805) Data 0.002 (0.002) Loss 2.2855 (2.2326) Prec@1 38.750 (43.905) Prec@5 71.875 (74.446) Epoch: [30][6930/11272] Time 0.738 (0.805) Data 0.002 (0.002) Loss 2.1278 (2.2325) Prec@1 48.750 (43.904) Prec@5 76.250 (74.449) Epoch: [30][6940/11272] Time 0.847 (0.805) Data 0.002 (0.002) Loss 2.1380 (2.2324) Prec@1 45.000 (43.905) Prec@5 78.750 (74.450) Epoch: [30][6950/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.3458 (2.2323) Prec@1 41.875 (43.908) Prec@5 73.125 (74.450) Epoch: [30][6960/11272] Time 0.738 (0.805) Data 0.002 (0.002) Loss 2.3559 (2.2322) Prec@1 40.000 (43.910) Prec@5 71.250 (74.451) Epoch: [30][6970/11272] Time 0.788 (0.805) Data 0.003 (0.002) Loss 2.0904 (2.2320) Prec@1 43.750 (43.912) Prec@5 76.875 (74.454) Epoch: [30][6980/11272] Time 0.893 (0.805) Data 0.002 (0.002) Loss 1.9836 (2.2319) Prec@1 46.875 (43.914) Prec@5 78.750 (74.456) Epoch: [30][6990/11272] Time 0.846 (0.805) Data 0.002 (0.002) Loss 2.1651 (2.2318) Prec@1 45.625 (43.916) Prec@5 75.000 (74.456) Epoch: [30][7000/11272] Time 0.737 (0.805) Data 0.002 (0.002) Loss 2.3382 (2.2317) Prec@1 40.625 (43.918) Prec@5 73.750 (74.458) Epoch: [30][7010/11272] Time 0.735 (0.805) Data 0.002 (0.002) Loss 2.1743 (2.2317) Prec@1 41.875 (43.919) Prec@5 78.750 (74.459) Epoch: [30][7020/11272] Time 0.841 (0.805) Data 0.002 (0.002) Loss 2.0311 (2.2315) Prec@1 46.250 (43.923) Prec@5 76.875 (74.461) Epoch: [30][7030/11272] Time 0.827 (0.805) Data 0.002 (0.002) Loss 2.1774 (2.2315) Prec@1 43.750 (43.923) Prec@5 76.250 (74.462) Epoch: [30][7040/11272] Time 0.746 (0.805) Data 0.002 (0.002) Loss 2.0290 (2.2314) Prec@1 48.750 (43.925) Prec@5 81.250 (74.465) Epoch: [30][7050/11272] Time 0.853 (0.805) Data 0.001 (0.002) Loss 2.3690 (2.2313) Prec@1 43.750 (43.927) Prec@5 73.125 (74.467) Epoch: [30][7060/11272] Time 0.899 (0.805) Data 0.002 (0.002) Loss 2.5223 (2.2312) Prec@1 36.250 (43.929) Prec@5 70.000 (74.468) Epoch: [30][7070/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 1.9555 (2.2311) Prec@1 48.750 (43.932) Prec@5 78.750 (74.470) Epoch: [30][7080/11272] Time 0.755 (0.805) Data 0.002 (0.002) Loss 1.9399 (2.2311) Prec@1 49.375 (43.935) Prec@5 78.750 (74.473) Epoch: [30][7090/11272] Time 0.828 (0.805) Data 0.001 (0.002) Loss 2.1116 (2.2311) Prec@1 47.500 (43.935) Prec@5 76.875 (74.473) Epoch: [30][7100/11272] Time 0.835 (0.805) Data 0.001 (0.002) Loss 2.3686 (2.2310) Prec@1 48.750 (43.935) Prec@5 68.125 (74.473) Epoch: [30][7110/11272] Time 0.740 (0.805) Data 0.002 (0.002) Loss 2.1928 (2.2310) Prec@1 46.250 (43.937) Prec@5 72.500 (74.473) Epoch: [30][7120/11272] Time 0.747 (0.805) Data 0.002 (0.002) Loss 2.3211 (2.2309) Prec@1 38.750 (43.939) Prec@5 71.875 (74.473) Epoch: [30][7130/11272] Time 0.847 (0.805) Data 0.002 (0.002) Loss 2.2798 (2.2308) Prec@1 40.625 (43.940) Prec@5 75.625 (74.474) Epoch: [30][7140/11272] Time 0.869 (0.805) Data 0.002 (0.002) Loss 2.2789 (2.2308) Prec@1 38.750 (43.941) Prec@5 74.375 (74.475) Epoch: [30][7150/11272] Time 0.757 (0.805) Data 0.001 (0.002) Loss 1.9566 (2.2307) Prec@1 48.750 (43.943) Prec@5 76.875 (74.478) Epoch: [30][7160/11272] Time 0.765 (0.805) Data 0.002 (0.002) Loss 2.1371 (2.2306) Prec@1 46.875 (43.945) Prec@5 78.125 (74.480) Epoch: [30][7170/11272] Time 0.848 (0.805) Data 0.002 (0.002) Loss 1.9852 (2.2305) Prec@1 50.000 (43.946) Prec@5 76.250 (74.480) Epoch: [30][7180/11272] Time 0.727 (0.805) Data 0.003 (0.002) Loss 2.1520 (2.2305) Prec@1 49.375 (43.948) Prec@5 76.875 (74.481) Epoch: [30][7190/11272] Time 0.736 (0.805) Data 0.002 (0.002) Loss 2.1851 (2.2303) Prec@1 46.250 (43.950) Prec@5 72.500 (74.484) Epoch: [30][7200/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 1.9657 (2.2301) Prec@1 47.500 (43.952) Prec@5 80.000 (74.485) Epoch: [30][7210/11272] Time 0.841 (0.805) Data 0.002 (0.002) Loss 2.2351 (2.2301) Prec@1 46.875 (43.954) Prec@5 73.750 (74.486) Epoch: [30][7220/11272] Time 0.735 (0.805) Data 0.002 (0.002) Loss 1.9140 (2.2301) Prec@1 52.500 (43.954) Prec@5 80.625 (74.487) Epoch: [30][7230/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.0986 (2.2300) Prec@1 48.125 (43.956) Prec@5 80.000 (74.489) Epoch: [30][7240/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.3123 (2.2301) Prec@1 40.625 (43.954) Prec@5 75.625 (74.489) Epoch: [30][7250/11272] Time 0.853 (0.805) Data 0.002 (0.002) Loss 2.1761 (2.2300) Prec@1 43.750 (43.955) Prec@5 75.625 (74.488) Epoch: [30][7260/11272] Time 0.813 (0.805) Data 0.002 (0.002) Loss 1.9265 (2.2298) Prec@1 51.250 (43.957) Prec@5 81.250 (74.492) Epoch: [30][7270/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.1994 (2.2297) Prec@1 43.750 (43.959) Prec@5 76.875 (74.494) Epoch: [30][7280/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.0663 (2.2297) Prec@1 53.125 (43.961) Prec@5 79.375 (74.495) Epoch: [30][7290/11272] Time 0.856 (0.805) Data 0.002 (0.002) Loss 2.1924 (2.2295) Prec@1 44.375 (43.965) Prec@5 75.000 (74.498) Epoch: [30][7300/11272] Time 0.742 (0.805) Data 0.001 (0.002) Loss 1.9978 (2.2294) Prec@1 48.125 (43.968) Prec@5 78.125 (74.500) Epoch: [30][7310/11272] Time 0.827 (0.805) Data 0.002 (0.002) Loss 2.1969 (2.2294) Prec@1 40.000 (43.966) Prec@5 73.750 (74.500) Epoch: [30][7320/11272] Time 0.852 (0.805) Data 0.002 (0.002) Loss 2.6778 (2.2295) Prec@1 41.250 (43.963) Prec@5 64.375 (74.498) Epoch: [30][7330/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 1.9697 (2.2293) Prec@1 53.125 (43.968) Prec@5 76.875 (74.501) Epoch: [30][7340/11272] Time 0.741 (0.805) Data 0.002 (0.002) Loss 2.1373 (2.2293) Prec@1 44.375 (43.969) Prec@5 76.875 (74.504) Epoch: [30][7350/11272] Time 0.850 (0.805) Data 0.002 (0.002) Loss 2.1574 (2.2292) Prec@1 45.000 (43.969) Prec@5 74.375 (74.505) Epoch: [30][7360/11272] Time 0.850 (0.805) Data 0.001 (0.002) Loss 2.2009 (2.2292) Prec@1 41.250 (43.968) Prec@5 73.750 (74.505) Epoch: [30][7370/11272] Time 0.738 (0.805) Data 0.002 (0.002) Loss 2.3854 (2.2293) Prec@1 38.125 (43.965) Prec@5 73.750 (74.505) Epoch: [30][7380/11272] Time 0.771 (0.805) Data 0.002 (0.002) Loss 2.1003 (2.2292) Prec@1 48.750 (43.966) Prec@5 77.500 (74.507) Epoch: [30][7390/11272] Time 0.861 (0.805) Data 0.002 (0.002) Loss 2.3439 (2.2292) Prec@1 38.125 (43.966) Prec@5 72.500 (74.509) Epoch: [30][7400/11272] Time 0.857 (0.805) Data 0.002 (0.002) Loss 2.1867 (2.2291) Prec@1 44.375 (43.965) Prec@5 76.250 (74.510) Epoch: [30][7410/11272] Time 0.736 (0.805) Data 0.002 (0.002) Loss 2.1489 (2.2291) Prec@1 45.000 (43.966) Prec@5 76.250 (74.511) Epoch: [30][7420/11272] Time 0.728 (0.805) Data 0.002 (0.002) Loss 1.9601 (2.2289) Prec@1 46.250 (43.968) Prec@5 81.875 (74.514) Epoch: [30][7430/11272] Time 0.877 (0.805) Data 0.002 (0.002) Loss 2.0281 (2.2288) Prec@1 50.625 (43.971) Prec@5 79.375 (74.517) Epoch: [30][7440/11272] Time 0.730 (0.805) Data 0.003 (0.002) Loss 2.2343 (2.2288) Prec@1 45.000 (43.974) Prec@5 76.250 (74.520) Epoch: [30][7450/11272] Time 0.775 (0.805) Data 0.002 (0.002) Loss 2.2911 (2.2287) Prec@1 45.000 (43.975) Prec@5 72.500 (74.520) Epoch: [30][7460/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.0542 (2.2286) Prec@1 45.625 (43.977) Prec@5 78.750 (74.523) Epoch: [30][7470/11272] Time 0.870 (0.805) Data 0.002 (0.002) Loss 2.2768 (2.2286) Prec@1 46.875 (43.978) Prec@5 73.750 (74.524) Epoch: [30][7480/11272] Time 0.739 (0.805) Data 0.002 (0.002) Loss 2.2400 (2.2286) Prec@1 46.250 (43.980) Prec@5 73.750 (74.522) Epoch: [30][7490/11272] Time 0.737 (0.805) Data 0.002 (0.002) Loss 2.2163 (2.2285) Prec@1 50.000 (43.982) Prec@5 73.125 (74.524) Epoch: [30][7500/11272] Time 0.859 (0.805) Data 0.001 (0.002) Loss 2.0555 (2.2283) Prec@1 40.625 (43.984) Prec@5 80.000 (74.528) Epoch: [30][7510/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 1.9588 (2.2284) Prec@1 43.125 (43.983) Prec@5 79.375 (74.527) Epoch: [30][7520/11272] Time 0.778 (0.805) Data 0.002 (0.002) Loss 2.4747 (2.2283) Prec@1 35.625 (43.982) Prec@5 68.125 (74.528) Epoch: [30][7530/11272] Time 0.739 (0.805) Data 0.001 (0.002) Loss 2.2454 (2.2282) Prec@1 41.250 (43.983) Prec@5 70.625 (74.530) Epoch: [30][7540/11272] Time 0.849 (0.805) Data 0.002 (0.002) Loss 2.3966 (2.2281) Prec@1 38.125 (43.986) Prec@5 70.000 (74.530) Epoch: [30][7550/11272] Time 0.839 (0.805) Data 0.001 (0.002) Loss 2.3720 (2.2281) Prec@1 40.625 (43.987) Prec@5 74.375 (74.530) Epoch: [30][7560/11272] Time 0.761 (0.805) Data 0.002 (0.002) Loss 2.4116 (2.2280) Prec@1 41.875 (43.990) Prec@5 70.625 (74.530) Epoch: [30][7570/11272] Time 0.839 (0.805) Data 0.001 (0.002) Loss 2.3858 (2.2280) Prec@1 41.875 (43.993) Prec@5 73.125 (74.531) Epoch: [30][7580/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.2611 (2.2279) Prec@1 44.375 (43.994) Prec@5 73.750 (74.534) Epoch: [30][7590/11272] Time 0.750 (0.805) Data 0.001 (0.002) Loss 2.2742 (2.2278) Prec@1 43.125 (43.996) Prec@5 70.625 (74.537) Epoch: [30][7600/11272] Time 0.741 (0.805) Data 0.002 (0.002) Loss 2.3105 (2.2276) Prec@1 38.125 (43.997) Prec@5 73.125 (74.540) Epoch: [30][7610/11272] Time 0.872 (0.805) Data 0.002 (0.002) Loss 2.1989 (2.2276) Prec@1 41.250 (43.996) Prec@5 75.000 (74.539) Epoch: [30][7620/11272] Time 0.880 (0.805) Data 0.002 (0.002) Loss 2.4398 (2.2275) Prec@1 42.500 (43.997) Prec@5 74.375 (74.540) Epoch: [30][7630/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 2.4473 (2.2276) Prec@1 39.375 (43.995) Prec@5 70.000 (74.540) Epoch: [30][7640/11272] Time 0.746 (0.805) Data 0.001 (0.002) Loss 2.1103 (2.2276) Prec@1 46.875 (43.997) Prec@5 76.875 (74.540) Epoch: [30][7650/11272] Time 0.836 (0.805) Data 0.001 (0.002) Loss 1.9207 (2.2275) Prec@1 52.500 (43.999) Prec@5 76.875 (74.541) Epoch: [30][7660/11272] Time 0.832 (0.805) Data 0.002 (0.002) Loss 1.9926 (2.2274) Prec@1 49.375 (43.999) Prec@5 82.500 (74.545) Epoch: [30][7670/11272] Time 0.742 (0.805) Data 0.002 (0.002) Loss 2.1776 (2.2274) Prec@1 46.250 (44.001) Prec@5 75.000 (74.546) Epoch: [30][7680/11272] Time 0.873 (0.805) Data 0.002 (0.002) Loss 2.1796 (2.2273) Prec@1 41.875 (44.004) Prec@5 76.250 (74.548) Epoch: [30][7690/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.1769 (2.2271) Prec@1 45.000 (44.004) Prec@5 73.125 (74.550) Epoch: [30][7700/11272] Time 0.834 (0.805) Data 0.002 (0.002) Loss 2.1060 (2.2270) Prec@1 40.000 (44.005) Prec@5 79.375 (74.553) Epoch: [30][7710/11272] Time 0.756 (0.805) Data 0.002 (0.002) Loss 2.1784 (2.2269) Prec@1 48.750 (44.005) Prec@5 71.875 (74.554) Epoch: [30][7720/11272] Time 0.864 (0.805) Data 0.001 (0.002) Loss 2.0089 (2.2267) Prec@1 46.875 (44.010) Prec@5 73.125 (74.557) Epoch: [30][7730/11272] Time 0.836 (0.805) Data 0.002 (0.002) Loss 2.3366 (2.2268) Prec@1 42.500 (44.010) Prec@5 74.375 (74.556) Epoch: [30][7740/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.0529 (2.2267) Prec@1 48.125 (44.010) Prec@5 80.000 (74.560) Epoch: [30][7750/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 1.9438 (2.2266) Prec@1 49.375 (44.012) Prec@5 80.000 (74.560) Epoch: [30][7760/11272] Time 0.845 (0.805) Data 0.001 (0.002) Loss 2.2348 (2.2266) Prec@1 46.250 (44.012) Prec@5 76.875 (74.562) Epoch: [30][7770/11272] Time 0.865 (0.805) Data 0.002 (0.002) Loss 1.9288 (2.2264) Prec@1 51.875 (44.016) Prec@5 79.375 (74.563) Epoch: [30][7780/11272] Time 0.754 (0.805) Data 0.002 (0.002) Loss 2.3523 (2.2263) Prec@1 39.375 (44.019) Prec@5 72.500 (74.565) Epoch: [30][7790/11272] Time 0.811 (0.805) Data 0.002 (0.002) Loss 2.3298 (2.2262) Prec@1 44.375 (44.020) Prec@5 71.250 (74.566) Epoch: [30][7800/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 1.9899 (2.2262) Prec@1 47.500 (44.022) Prec@5 80.000 (74.568) Epoch: [30][7810/11272] Time 0.819 (0.805) Data 0.002 (0.002) Loss 2.1607 (2.2261) Prec@1 38.750 (44.022) Prec@5 78.750 (74.571) Epoch: [30][7820/11272] Time 0.729 (0.805) Data 0.002 (0.002) Loss 2.2602 (2.2261) Prec@1 43.750 (44.022) Prec@5 71.875 (74.572) Epoch: [30][7830/11272] Time 0.754 (0.805) Data 0.002 (0.002) Loss 2.0273 (2.2260) Prec@1 49.375 (44.023) Prec@5 79.375 (74.574) Epoch: [30][7840/11272] Time 0.824 (0.805) Data 0.001 (0.002) Loss 2.2228 (2.2260) Prec@1 43.750 (44.025) Prec@5 72.500 (74.575) Epoch: [30][7850/11272] Time 0.739 (0.805) Data 0.001 (0.002) Loss 2.1391 (2.2259) Prec@1 46.875 (44.026) Prec@5 76.250 (74.577) Epoch: [30][7860/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 2.0579 (2.2258) Prec@1 53.125 (44.029) Prec@5 73.750 (74.579) Epoch: [30][7870/11272] Time 0.829 (0.805) Data 0.001 (0.002) Loss 2.1294 (2.2259) Prec@1 45.000 (44.030) Prec@5 80.000 (74.579) Epoch: [30][7880/11272] Time 0.827 (0.805) Data 0.002 (0.002) Loss 2.3122 (2.2258) Prec@1 41.250 (44.031) Prec@5 73.125 (74.580) Epoch: [30][7890/11272] Time 0.746 (0.805) Data 0.002 (0.002) Loss 2.1512 (2.2257) Prec@1 47.500 (44.034) Prec@5 77.500 (74.581) Epoch: [30][7900/11272] Time 0.757 (0.805) Data 0.002 (0.002) Loss 2.0602 (2.2257) Prec@1 50.625 (44.032) Prec@5 80.625 (74.582) Epoch: [30][7910/11272] Time 0.833 (0.805) Data 0.002 (0.002) Loss 2.1966 (2.2257) Prec@1 46.250 (44.032) Prec@5 78.125 (74.582) Epoch: [30][7920/11272] Time 0.872 (0.805) Data 0.002 (0.002) Loss 2.3935 (2.2257) Prec@1 41.250 (44.032) Prec@5 71.875 (74.583) Epoch: [30][7930/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.3035 (2.2256) Prec@1 44.375 (44.033) Prec@5 74.375 (74.586) Epoch: [30][7940/11272] Time 0.765 (0.805) Data 0.002 (0.002) Loss 2.3587 (2.2256) Prec@1 41.875 (44.031) Prec@5 69.375 (74.586) Epoch: [30][7950/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 2.1057 (2.2255) Prec@1 44.375 (44.034) Prec@5 77.500 (74.588) Epoch: [30][7960/11272] Time 0.838 (0.805) Data 0.002 (0.002) Loss 1.8358 (2.2254) Prec@1 53.750 (44.036) Prec@5 82.500 (74.592) Epoch: [30][7970/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.2444 (2.2253) Prec@1 41.250 (44.036) Prec@5 76.875 (74.593) Epoch: [30][7980/11272] Time 0.876 (0.805) Data 0.001 (0.002) Loss 2.0758 (2.2252) Prec@1 44.375 (44.037) Prec@5 76.875 (74.597) Epoch: [30][7990/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 2.2061 (2.2252) Prec@1 45.000 (44.038) Prec@5 72.500 (74.596) Epoch: [30][8000/11272] Time 0.750 (0.804) Data 0.001 (0.002) Loss 2.0952 (2.2252) Prec@1 47.500 (44.037) Prec@5 77.500 (74.598) Epoch: [30][8010/11272] Time 0.747 (0.804) Data 0.002 (0.002) Loss 2.1552 (2.2251) Prec@1 47.500 (44.040) Prec@5 77.500 (74.598) Epoch: [30][8020/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.4318 (2.2250) Prec@1 36.875 (44.041) Prec@5 66.875 (74.600) Epoch: [30][8030/11272] Time 0.839 (0.804) Data 0.002 (0.002) Loss 2.4208 (2.2250) Prec@1 40.625 (44.040) Prec@5 73.750 (74.599) Epoch: [30][8040/11272] Time 0.739 (0.804) Data 0.002 (0.002) Loss 2.3241 (2.2249) Prec@1 39.375 (44.042) Prec@5 76.875 (74.599) Epoch: [30][8050/11272] Time 0.732 (0.804) Data 0.001 (0.002) Loss 2.5609 (2.2249) Prec@1 37.500 (44.041) Prec@5 66.875 (74.600) Epoch: [30][8060/11272] Time 0.837 (0.804) Data 0.002 (0.002) Loss 2.7132 (2.2249) Prec@1 33.125 (44.040) Prec@5 66.875 (74.601) Epoch: [30][8070/11272] Time 0.881 (0.804) Data 0.002 (0.002) Loss 2.3592 (2.2249) Prec@1 41.250 (44.041) Prec@5 73.125 (74.604) Epoch: [30][8080/11272] Time 0.771 (0.804) Data 0.002 (0.002) Loss 2.0943 (2.2248) Prec@1 45.625 (44.042) Prec@5 75.000 (74.605) Epoch: [30][8090/11272] Time 0.746 (0.804) Data 0.002 (0.002) Loss 2.3898 (2.2248) Prec@1 43.125 (44.044) Prec@5 71.875 (74.604) Epoch: [30][8100/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 2.1324 (2.2247) Prec@1 44.375 (44.047) Prec@5 73.750 (74.606) Epoch: [30][8110/11272] Time 0.740 (0.804) Data 0.003 (0.002) Loss 2.2517 (2.2247) Prec@1 40.000 (44.044) Prec@5 78.125 (74.605) Epoch: [30][8120/11272] Time 0.813 (0.804) Data 0.002 (0.002) Loss 2.0901 (2.2247) Prec@1 45.625 (44.044) Prec@5 81.250 (74.607) Epoch: [30][8130/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.0210 (2.2246) Prec@1 48.750 (44.048) Prec@5 78.125 (74.609) Epoch: [30][8140/11272] Time 0.821 (0.804) Data 0.002 (0.002) Loss 2.3330 (2.2245) Prec@1 40.625 (44.049) Prec@5 76.250 (74.611) Epoch: [30][8150/11272] Time 0.728 (0.804) Data 0.002 (0.002) Loss 1.9862 (2.2244) Prec@1 48.125 (44.051) Prec@5 80.625 (74.613) Epoch: [30][8160/11272] Time 0.819 (0.804) Data 0.002 (0.002) Loss 2.0377 (2.2243) Prec@1 50.625 (44.054) Prec@5 80.000 (74.616) Epoch: [30][8170/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.2615 (2.2242) Prec@1 44.375 (44.057) Prec@5 73.750 (74.619) Epoch: [30][8180/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 2.5439 (2.2241) Prec@1 38.750 (44.057) Prec@5 70.000 (74.619) Epoch: [30][8190/11272] Time 0.756 (0.804) Data 0.002 (0.002) Loss 2.4184 (2.2242) Prec@1 43.125 (44.058) Prec@5 68.750 (74.619) Epoch: [30][8200/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.3046 (2.2241) Prec@1 38.750 (44.059) Prec@5 74.375 (74.620) Epoch: [30][8210/11272] Time 0.837 (0.804) Data 0.002 (0.002) Loss 2.1767 (2.2241) Prec@1 45.625 (44.058) Prec@5 75.625 (74.622) Epoch: [30][8220/11272] Time 0.842 (0.804) Data 0.002 (0.002) Loss 2.1460 (2.2240) Prec@1 43.125 (44.060) Prec@5 78.125 (74.626) Epoch: [30][8230/11272] Time 0.747 (0.804) Data 0.002 (0.002) Loss 2.2265 (2.2239) Prec@1 44.375 (44.061) Prec@5 76.250 (74.630) Epoch: [30][8240/11272] Time 0.853 (0.804) Data 0.002 (0.002) Loss 2.1666 (2.2238) Prec@1 45.000 (44.062) Prec@5 73.125 (74.630) Epoch: [30][8250/11272] Time 0.855 (0.804) Data 0.001 (0.002) Loss 2.1051 (2.2237) Prec@1 44.375 (44.066) Prec@5 80.625 (74.632) Epoch: [30][8260/11272] Time 0.775 (0.804) Data 0.002 (0.002) Loss 2.1539 (2.2237) Prec@1 40.625 (44.065) Prec@5 77.500 (74.632) Epoch: [30][8270/11272] Time 0.739 (0.804) Data 0.002 (0.002) Loss 2.0229 (2.2237) Prec@1 50.000 (44.064) Prec@5 76.875 (74.632) Epoch: [30][8280/11272] Time 0.834 (0.804) Data 0.001 (0.002) Loss 2.0507 (2.2237) Prec@1 46.250 (44.066) Prec@5 77.500 (74.633) Epoch: [30][8290/11272] Time 0.856 (0.804) Data 0.001 (0.002) Loss 2.0212 (2.2235) Prec@1 48.125 (44.067) Prec@5 78.750 (74.638) Epoch: [30][8300/11272] Time 0.764 (0.804) Data 0.002 (0.002) Loss 1.9369 (2.2234) Prec@1 50.000 (44.069) Prec@5 81.250 (74.640) Epoch: [30][8310/11272] Time 0.760 (0.804) Data 0.002 (0.002) Loss 2.2137 (2.2233) Prec@1 45.000 (44.069) Prec@5 75.625 (74.641) Epoch: [30][8320/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.2363 (2.2233) Prec@1 44.375 (44.070) Prec@5 74.375 (74.641) Epoch: [30][8330/11272] Time 0.846 (0.804) Data 0.002 (0.002) Loss 2.0261 (2.2232) Prec@1 49.375 (44.074) Prec@5 77.500 (74.642) Epoch: [30][8340/11272] Time 0.725 (0.804) Data 0.001 (0.002) Loss 2.1016 (2.2232) Prec@1 49.375 (44.075) Prec@5 77.500 (74.641) Epoch: [30][8350/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 1.8356 (2.2231) Prec@1 47.500 (44.075) Prec@5 80.000 (74.643) Epoch: [30][8360/11272] Time 0.873 (0.804) Data 0.002 (0.002) Loss 2.3460 (2.2229) Prec@1 38.750 (44.075) Prec@5 71.875 (74.646) Epoch: [30][8370/11272] Time 0.733 (0.804) Data 0.003 (0.002) Loss 2.0349 (2.2229) Prec@1 46.875 (44.076) Prec@5 80.000 (74.648) Epoch: [30][8380/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 2.2444 (2.2228) Prec@1 45.625 (44.076) Prec@5 75.625 (74.648) Epoch: [30][8390/11272] Time 0.901 (0.804) Data 0.002 (0.002) Loss 2.0726 (2.2228) Prec@1 45.000 (44.079) Prec@5 76.875 (74.649) Epoch: [30][8400/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.0931 (2.2227) Prec@1 45.625 (44.079) Prec@5 77.500 (74.649) Epoch: [30][8410/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.3063 (2.2227) Prec@1 37.500 (44.080) Prec@5 75.625 (74.649) Epoch: [30][8420/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.3723 (2.2227) Prec@1 42.500 (44.082) Prec@5 72.500 (74.650) Epoch: [30][8430/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 1.8432 (2.2225) Prec@1 54.375 (44.083) Prec@5 81.875 (74.653) Epoch: [30][8440/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.1289 (2.2225) Prec@1 40.625 (44.082) Prec@5 77.500 (74.653) Epoch: [30][8450/11272] Time 0.760 (0.804) Data 0.002 (0.002) Loss 2.2580 (2.2225) Prec@1 45.000 (44.082) Prec@5 76.250 (74.654) Epoch: [30][8460/11272] Time 0.767 (0.804) Data 0.002 (0.002) Loss 2.0588 (2.2224) Prec@1 46.875 (44.084) Prec@5 76.875 (74.657) Epoch: [30][8470/11272] Time 0.840 (0.804) Data 0.002 (0.002) Loss 2.1774 (2.2223) Prec@1 45.625 (44.087) Prec@5 75.000 (74.658) Epoch: [30][8480/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 2.2219 (2.2222) Prec@1 46.250 (44.088) Prec@5 76.875 (74.660) Epoch: [30][8490/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.1265 (2.2222) Prec@1 46.250 (44.090) Prec@5 73.750 (74.660) Epoch: [30][8500/11272] Time 0.881 (0.804) Data 0.002 (0.002) Loss 2.1800 (2.2221) Prec@1 43.125 (44.091) Prec@5 72.500 (74.661) Epoch: [30][8510/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 2.0156 (2.2221) Prec@1 45.000 (44.091) Prec@5 80.000 (74.662) Epoch: [30][8520/11272] Time 0.775 (0.804) Data 0.002 (0.002) Loss 2.2065 (2.2221) Prec@1 48.750 (44.092) Prec@5 77.500 (74.663) Epoch: [30][8530/11272] Time 0.743 (0.804) Data 0.002 (0.002) Loss 2.0600 (2.2220) Prec@1 48.125 (44.095) Prec@5 79.375 (74.666) Epoch: [30][8540/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.1748 (2.2219) Prec@1 45.625 (44.097) Prec@5 79.375 (74.667) Epoch: [30][8550/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 2.1488 (2.2218) Prec@1 48.125 (44.100) Prec@5 75.625 (74.668) Epoch: [30][8560/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.2466 (2.2218) Prec@1 45.000 (44.101) Prec@5 73.125 (74.668) Epoch: [30][8570/11272] Time 0.730 (0.804) Data 0.002 (0.002) Loss 1.9163 (2.2217) Prec@1 50.625 (44.103) Prec@5 78.750 (74.670) Epoch: [30][8580/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 1.9597 (2.2215) Prec@1 48.125 (44.105) Prec@5 78.750 (74.673) Epoch: [30][8590/11272] Time 0.863 (0.804) Data 0.001 (0.002) Loss 2.1444 (2.2215) Prec@1 42.500 (44.108) Prec@5 75.000 (74.675) Epoch: [30][8600/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.2114 (2.2214) Prec@1 44.375 (44.109) Prec@5 77.500 (74.676) Epoch: [30][8610/11272] Time 0.758 (0.804) Data 0.002 (0.002) Loss 2.1882 (2.2215) Prec@1 45.625 (44.109) Prec@5 72.500 (74.675) Epoch: [30][8620/11272] Time 0.881 (0.804) Data 0.005 (0.002) Loss 2.1269 (2.2214) Prec@1 46.250 (44.109) Prec@5 75.625 (74.676) Epoch: [30][8630/11272] Time 0.845 (0.804) Data 0.001 (0.002) Loss 2.5313 (2.2215) Prec@1 42.500 (44.109) Prec@5 68.750 (74.673) Epoch: [30][8640/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.3298 (2.2214) Prec@1 41.250 (44.111) Prec@5 70.625 (74.675) Epoch: [30][8650/11272] Time 0.824 (0.804) Data 0.002 (0.002) Loss 2.1512 (2.2212) Prec@1 46.250 (44.115) Prec@5 75.000 (74.677) Epoch: [30][8660/11272] Time 0.839 (0.804) Data 0.002 (0.002) Loss 2.0161 (2.2212) Prec@1 50.000 (44.116) Prec@5 75.625 (74.676) Epoch: [30][8670/11272] Time 0.728 (0.804) Data 0.002 (0.002) Loss 2.2492 (2.2212) Prec@1 45.625 (44.117) Prec@5 76.875 (74.678) Epoch: [30][8680/11272] Time 0.737 (0.804) Data 0.002 (0.002) Loss 2.1096 (2.2212) Prec@1 43.125 (44.117) Prec@5 76.875 (74.678) Epoch: [30][8690/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.2052 (2.2211) Prec@1 44.375 (44.119) Prec@5 74.375 (74.680) Epoch: [30][8700/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 1.9837 (2.2210) Prec@1 46.875 (44.121) Prec@5 78.125 (74.683) Epoch: [30][8710/11272] Time 0.768 (0.804) Data 0.002 (0.002) Loss 2.1007 (2.2209) Prec@1 45.000 (44.122) Prec@5 78.750 (74.684) Epoch: [30][8720/11272] Time 0.731 (0.804) Data 0.002 (0.002) Loss 2.0359 (2.2209) Prec@1 48.750 (44.122) Prec@5 77.500 (74.684) Epoch: [30][8730/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 2.4572 (2.2208) Prec@1 41.250 (44.124) Prec@5 71.250 (74.686) Epoch: [30][8740/11272] Time 0.822 (0.804) Data 0.002 (0.002) Loss 2.0679 (2.2208) Prec@1 43.125 (44.124) Prec@5 75.000 (74.686) Epoch: [30][8750/11272] Time 0.746 (0.804) Data 0.002 (0.002) Loss 2.1061 (2.2207) Prec@1 45.625 (44.123) Prec@5 73.750 (74.687) Epoch: [30][8760/11272] Time 0.737 (0.804) Data 0.002 (0.002) Loss 2.2778 (2.2207) Prec@1 36.250 (44.124) Prec@5 74.375 (74.688) Epoch: [30][8770/11272] Time 0.870 (0.804) Data 0.002 (0.002) Loss 2.0471 (2.2206) Prec@1 46.250 (44.126) Prec@5 76.875 (74.690) Epoch: [30][8780/11272] Time 0.785 (0.804) Data 0.002 (0.002) Loss 2.5053 (2.2206) Prec@1 38.750 (44.126) Prec@5 69.375 (74.689) Epoch: [30][8790/11272] Time 0.750 (0.804) Data 0.002 (0.002) Loss 2.1671 (2.2205) Prec@1 44.375 (44.128) Prec@5 74.375 (74.691) Epoch: [30][8800/11272] Time 0.828 (0.804) Data 0.001 (0.002) Loss 1.9705 (2.2204) Prec@1 48.750 (44.129) Prec@5 78.750 (74.692) Epoch: [30][8810/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.1447 (2.2203) Prec@1 42.500 (44.131) Prec@5 73.750 (74.693) Epoch: [30][8820/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.0643 (2.2202) Prec@1 46.875 (44.133) Prec@5 75.625 (74.691) Epoch: [30][8830/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.3183 (2.2202) Prec@1 41.250 (44.134) Prec@5 73.125 (74.693) Epoch: [30][8840/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 1.9444 (2.2201) Prec@1 47.500 (44.133) Prec@5 78.125 (74.695) Epoch: [30][8850/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 2.0724 (2.2200) Prec@1 43.750 (44.136) Prec@5 77.500 (74.697) Epoch: [30][8860/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.2251 (2.2200) Prec@1 41.250 (44.135) Prec@5 77.500 (74.698) Epoch: [30][8870/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.0773 (2.2200) Prec@1 42.500 (44.137) Prec@5 80.000 (74.700) Epoch: [30][8880/11272] Time 0.838 (0.804) Data 0.002 (0.002) Loss 2.2035 (2.2200) Prec@1 45.625 (44.136) Prec@5 78.125 (74.699) Epoch: [30][8890/11272] Time 0.890 (0.804) Data 0.002 (0.002) Loss 2.2758 (2.2200) Prec@1 41.875 (44.137) Prec@5 73.750 (74.698) Epoch: [30][8900/11272] Time 0.770 (0.804) Data 0.002 (0.002) Loss 2.1016 (2.2200) Prec@1 46.250 (44.137) Prec@5 75.000 (74.698) Epoch: [30][8910/11272] Time 0.798 (0.804) Data 0.002 (0.002) Loss 2.1072 (2.2199) Prec@1 44.375 (44.137) Prec@5 76.875 (74.698) Epoch: [30][8920/11272] Time 0.859 (0.804) Data 0.001 (0.002) Loss 1.9142 (2.2198) Prec@1 50.625 (44.140) Prec@5 80.000 (74.702) Epoch: [30][8930/11272] Time 0.770 (0.804) Data 0.002 (0.002) Loss 2.3096 (2.2197) Prec@1 40.625 (44.141) Prec@5 73.750 (74.703) Epoch: [30][8940/11272] Time 0.760 (0.804) Data 0.002 (0.002) Loss 2.4123 (2.2197) Prec@1 38.125 (44.142) Prec@5 69.375 (74.703) Epoch: [30][8950/11272] Time 0.839 (0.804) Data 0.002 (0.002) Loss 1.9662 (2.2197) Prec@1 47.500 (44.143) Prec@5 81.250 (74.706) Epoch: [30][8960/11272] Time 0.832 (0.804) Data 0.002 (0.002) Loss 1.9281 (2.2197) Prec@1 51.250 (44.143) Prec@5 78.125 (74.705) Epoch: [30][8970/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.0690 (2.2196) Prec@1 45.625 (44.143) Prec@5 81.875 (74.708) Epoch: [30][8980/11272] Time 0.720 (0.804) Data 0.001 (0.002) Loss 2.1245 (2.2196) Prec@1 47.500 (44.142) Prec@5 78.750 (74.710) Epoch: [30][8990/11272] Time 0.847 (0.804) Data 0.001 (0.002) Loss 2.4449 (2.2196) Prec@1 36.250 (44.141) Prec@5 70.625 (74.710) Epoch: [30][9000/11272] Time 0.850 (0.804) Data 0.002 (0.002) Loss 2.3689 (2.2196) Prec@1 45.000 (44.142) Prec@5 71.250 (74.710) Epoch: [30][9010/11272] Time 0.784 (0.804) Data 0.002 (0.002) Loss 2.0703 (2.2195) Prec@1 48.125 (44.144) Prec@5 75.625 (74.712) Epoch: [30][9020/11272] Time 0.760 (0.804) Data 0.002 (0.002) Loss 1.9970 (2.2195) Prec@1 51.250 (44.144) Prec@5 77.500 (74.713) Epoch: [30][9030/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.1676 (2.2195) Prec@1 48.750 (44.143) Prec@5 75.000 (74.714) Epoch: [30][9040/11272] Time 0.753 (0.804) Data 0.003 (0.002) Loss 2.1271 (2.2194) Prec@1 41.250 (44.143) Prec@5 77.500 (74.714) Epoch: [30][9050/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.1206 (2.2194) Prec@1 45.000 (44.145) Prec@5 76.250 (74.714) Epoch: [30][9060/11272] Time 0.836 (0.804) Data 0.001 (0.002) Loss 2.1234 (2.2192) Prec@1 41.875 (44.150) Prec@5 80.000 (74.717) Epoch: [30][9070/11272] Time 0.858 (0.804) Data 0.001 (0.002) Loss 2.1798 (2.2192) Prec@1 43.750 (44.151) Prec@5 73.125 (74.717) Epoch: [30][9080/11272] Time 0.785 (0.804) Data 0.002 (0.002) Loss 2.0619 (2.2192) Prec@1 51.875 (44.153) Prec@5 75.625 (74.717) Epoch: [30][9090/11272] Time 0.757 (0.804) Data 0.002 (0.002) Loss 2.1177 (2.2191) Prec@1 46.250 (44.154) Prec@5 77.500 (74.719) Epoch: [30][9100/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.4543 (2.2191) Prec@1 39.375 (44.155) Prec@5 69.375 (74.720) Epoch: [30][9110/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 2.2145 (2.2191) Prec@1 43.125 (44.154) Prec@5 74.375 (74.719) Epoch: [30][9120/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.2612 (2.2190) Prec@1 45.000 (44.156) Prec@5 77.500 (74.722) Epoch: [30][9130/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 2.3667 (2.2189) Prec@1 42.500 (44.160) Prec@5 70.625 (74.724) Epoch: [30][9140/11272] Time 0.837 (0.804) Data 0.001 (0.002) Loss 2.2449 (2.2189) Prec@1 46.250 (44.159) Prec@5 74.375 (74.723) Epoch: [30][9150/11272] Time 0.836 (0.804) Data 0.002 (0.002) Loss 2.0994 (2.2189) Prec@1 48.125 (44.161) Prec@5 74.375 (74.723) Epoch: [30][9160/11272] Time 0.759 (0.804) Data 0.001 (0.002) Loss 2.4502 (2.2188) Prec@1 34.375 (44.163) Prec@5 68.125 (74.724) Epoch: [30][9170/11272] Time 0.866 (0.804) Data 0.001 (0.002) Loss 2.0913 (2.2187) Prec@1 48.125 (44.164) Prec@5 76.875 (74.724) Epoch: [30][9180/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.2812 (2.2186) Prec@1 44.375 (44.165) Prec@5 73.125 (74.726) Epoch: [30][9190/11272] Time 0.804 (0.804) Data 0.001 (0.002) Loss 2.1947 (2.2185) Prec@1 48.125 (44.166) Prec@5 74.375 (74.728) Epoch: [30][9200/11272] Time 0.808 (0.804) Data 0.002 (0.002) Loss 2.3614 (2.2184) Prec@1 40.000 (44.168) Prec@5 71.875 (74.730) Epoch: [30][9210/11272] Time 0.834 (0.804) Data 0.002 (0.002) Loss 1.8945 (2.2184) Prec@1 49.375 (44.169) Prec@5 84.375 (74.732) Epoch: [30][9220/11272] Time 0.820 (0.804) Data 0.001 (0.002) Loss 2.1916 (2.2183) Prec@1 48.125 (44.172) Prec@5 77.500 (74.733) Epoch: [30][9230/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.1374 (2.2183) Prec@1 48.125 (44.171) Prec@5 76.875 (74.732) Epoch: [30][9240/11272] Time 0.744 (0.804) Data 0.002 (0.002) Loss 2.3962 (2.2183) Prec@1 40.625 (44.173) Prec@5 70.000 (74.731) Epoch: [30][9250/11272] Time 0.843 (0.804) Data 0.002 (0.002) Loss 2.1823 (2.2182) Prec@1 44.375 (44.175) Prec@5 77.500 (74.733) Epoch: [30][9260/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 2.3105 (2.2183) Prec@1 45.000 (44.176) Prec@5 69.375 (74.733) Epoch: [30][9270/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 2.4065 (2.2182) Prec@1 38.125 (44.176) Prec@5 70.000 (74.732) Epoch: [30][9280/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.5883 (2.2182) Prec@1 34.375 (44.175) Prec@5 68.125 (74.732) Epoch: [30][9290/11272] Time 0.849 (0.804) Data 0.002 (0.002) Loss 2.2926 (2.2182) Prec@1 42.500 (44.173) Prec@5 74.375 (74.733) Epoch: [30][9300/11272] Time 0.740 (0.804) Data 0.003 (0.002) Loss 2.2310 (2.2183) Prec@1 46.875 (44.172) Prec@5 75.000 (74.732) Epoch: [30][9310/11272] Time 0.743 (0.804) Data 0.002 (0.002) Loss 1.8735 (2.2181) Prec@1 50.000 (44.173) Prec@5 83.125 (74.735) Epoch: [30][9320/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 1.8928 (2.2181) Prec@1 44.375 (44.173) Prec@5 80.625 (74.734) Epoch: [30][9330/11272] Time 0.846 (0.804) Data 0.002 (0.002) Loss 1.9458 (2.2181) Prec@1 47.500 (44.173) Prec@5 80.625 (74.735) Epoch: [30][9340/11272] Time 0.752 (0.804) Data 0.001 (0.002) Loss 1.9416 (2.2181) Prec@1 53.125 (44.174) Prec@5 76.875 (74.735) Epoch: [30][9350/11272] Time 0.757 (0.804) Data 0.002 (0.002) Loss 2.1868 (2.2180) Prec@1 40.000 (44.174) Prec@5 77.500 (74.736) Epoch: [30][9360/11272] Time 0.890 (0.804) Data 0.002 (0.002) Loss 2.0813 (2.2179) Prec@1 43.750 (44.176) Prec@5 79.375 (74.739) Epoch: [30][9370/11272] Time 0.831 (0.804) Data 0.001 (0.002) Loss 1.9005 (2.2179) Prec@1 48.125 (44.176) Prec@5 76.875 (74.739) Epoch: [30][9380/11272] Time 0.733 (0.804) Data 0.002 (0.002) Loss 1.9451 (2.2178) Prec@1 47.500 (44.176) Prec@5 83.125 (74.744) Epoch: [30][9390/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 1.9514 (2.2177) Prec@1 53.125 (44.177) Prec@5 79.375 (74.745) Epoch: [30][9400/11272] Time 0.835 (0.804) Data 0.002 (0.002) Loss 2.2002 (2.2176) Prec@1 48.125 (44.180) Prec@5 74.375 (74.746) Epoch: [30][9410/11272] Time 0.884 (0.804) Data 0.002 (0.002) Loss 2.0428 (2.2175) Prec@1 50.000 (44.182) Prec@5 78.750 (74.748) Epoch: [30][9420/11272] Time 0.733 (0.804) Data 0.001 (0.002) Loss 2.2045 (2.2175) Prec@1 43.750 (44.184) Prec@5 74.375 (74.747) Epoch: [30][9430/11272] Time 0.823 (0.804) Data 0.002 (0.002) Loss 1.9778 (2.2174) Prec@1 48.750 (44.185) Prec@5 80.625 (74.749) Epoch: [30][9440/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.1115 (2.2173) Prec@1 46.250 (44.190) Prec@5 77.500 (74.753) Epoch: [30][9450/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.2026 (2.2171) Prec@1 43.750 (44.192) Prec@5 72.500 (74.755) Epoch: [30][9460/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 2.1382 (2.2171) Prec@1 43.125 (44.192) Prec@5 78.125 (74.754) Epoch: [30][9470/11272] Time 0.850 (0.804) Data 0.001 (0.002) Loss 2.2314 (2.2171) Prec@1 43.125 (44.193) Prec@5 71.875 (74.755) Epoch: [30][9480/11272] Time 0.824 (0.804) Data 0.001 (0.002) Loss 2.0783 (2.2169) Prec@1 45.000 (44.196) Prec@5 78.750 (74.757) Epoch: [30][9490/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.2402 (2.2169) Prec@1 41.250 (44.196) Prec@5 74.375 (74.757) Epoch: [30][9500/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 2.1292 (2.2169) Prec@1 44.375 (44.197) Prec@5 75.000 (74.757) Epoch: [30][9510/11272] Time 0.854 (0.804) Data 0.001 (0.002) Loss 2.2876 (2.2169) Prec@1 37.500 (44.196) Prec@5 71.875 (74.756) Epoch: [30][9520/11272] Time 0.888 (0.804) Data 0.002 (0.002) Loss 2.2959 (2.2168) Prec@1 43.750 (44.198) Prec@5 73.750 (74.758) Epoch: [30][9530/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 2.0835 (2.2168) Prec@1 40.625 (44.199) Prec@5 78.750 (74.759) Epoch: [30][9540/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.3121 (2.2168) Prec@1 41.875 (44.198) Prec@5 74.375 (74.760) Epoch: [30][9550/11272] Time 0.853 (0.804) Data 0.002 (0.002) Loss 2.0160 (2.2167) Prec@1 51.250 (44.198) Prec@5 77.500 (74.761) Epoch: [30][9560/11272] Time 0.824 (0.804) Data 0.002 (0.002) Loss 2.2269 (2.2167) Prec@1 42.500 (44.198) Prec@5 70.625 (74.761) Epoch: [30][9570/11272] Time 0.746 (0.804) Data 0.002 (0.002) Loss 2.0242 (2.2167) Prec@1 48.750 (44.197) Prec@5 78.750 (74.761) Epoch: [30][9580/11272] Time 0.884 (0.804) Data 0.002 (0.002) Loss 1.9559 (2.2166) Prec@1 48.125 (44.201) Prec@5 83.125 (74.765) Epoch: [30][9590/11272] Time 0.839 (0.804) Data 0.002 (0.002) Loss 2.0011 (2.2165) Prec@1 51.875 (44.202) Prec@5 79.375 (74.767) Epoch: [30][9600/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 2.1506 (2.2165) Prec@1 44.375 (44.202) Prec@5 75.000 (74.766) Epoch: [30][9610/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 2.0553 (2.2165) Prec@1 48.125 (44.203) Prec@5 75.000 (74.767) Epoch: [30][9620/11272] Time 0.854 (0.804) Data 0.002 (0.002) Loss 2.1630 (2.2164) Prec@1 44.375 (44.204) Prec@5 74.375 (74.768) Epoch: [30][9630/11272] Time 0.844 (0.804) Data 0.002 (0.002) Loss 2.1273 (2.2164) Prec@1 42.500 (44.204) Prec@5 78.750 (74.768) Epoch: [30][9640/11272] Time 0.748 (0.804) Data 0.002 (0.002) Loss 2.1786 (2.2163) Prec@1 42.500 (44.207) Prec@5 75.000 (74.769) Epoch: [30][9650/11272] Time 0.727 (0.804) Data 0.002 (0.002) Loss 2.0125 (2.2162) Prec@1 45.000 (44.210) Prec@5 78.750 (74.770) Epoch: [30][9660/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 2.2978 (2.2161) Prec@1 40.625 (44.212) Prec@5 73.750 (74.772) Epoch: [30][9670/11272] Time 0.814 (0.804) Data 0.001 (0.002) Loss 2.0153 (2.2160) Prec@1 46.875 (44.214) Prec@5 73.750 (74.774) Epoch: [30][9680/11272] Time 0.739 (0.804) Data 0.001 (0.002) Loss 2.1519 (2.2159) Prec@1 43.750 (44.214) Prec@5 74.375 (74.775) Epoch: [30][9690/11272] Time 0.724 (0.804) Data 0.002 (0.002) Loss 2.0535 (2.2159) Prec@1 47.500 (44.215) Prec@5 76.875 (74.774) Epoch: [30][9700/11272] Time 0.845 (0.804) Data 0.002 (0.002) Loss 1.9743 (2.2157) Prec@1 46.875 (44.217) Prec@5 80.000 (74.777) Epoch: [30][9710/11272] Time 0.760 (0.804) Data 0.001 (0.002) Loss 1.9044 (2.2158) Prec@1 51.250 (44.217) Prec@5 78.750 (74.777) Epoch: [30][9720/11272] Time 0.716 (0.804) Data 0.002 (0.002) Loss 1.9685 (2.2157) Prec@1 48.125 (44.219) Prec@5 80.625 (74.780) Epoch: [30][9730/11272] Time 0.822 (0.803) Data 0.001 (0.002) Loss 2.4069 (2.2157) Prec@1 36.250 (44.219) Prec@5 69.375 (74.780) Epoch: [30][9740/11272] Time 0.900 (0.803) Data 0.004 (0.002) Loss 2.2586 (2.2156) Prec@1 41.875 (44.220) Prec@5 73.750 (74.781) Epoch: [30][9750/11272] Time 0.739 (0.803) Data 0.002 (0.002) Loss 2.2194 (2.2155) Prec@1 44.375 (44.222) Prec@5 72.500 (74.781) Epoch: [30][9760/11272] Time 0.737 (0.803) Data 0.002 (0.002) Loss 2.0267 (2.2155) Prec@1 41.250 (44.223) Prec@5 80.000 (74.782) Epoch: [30][9770/11272] Time 0.836 (0.803) Data 0.002 (0.002) Loss 2.1113 (2.2154) Prec@1 50.000 (44.226) Prec@5 75.625 (74.783) Epoch: [30][9780/11272] Time 0.841 (0.803) Data 0.002 (0.002) Loss 2.4374 (2.2154) Prec@1 36.875 (44.225) Prec@5 68.750 (74.783) Epoch: [30][9790/11272] Time 0.757 (0.803) Data 0.001 (0.002) Loss 2.2872 (2.2154) Prec@1 41.875 (44.226) Prec@5 76.250 (74.784) Epoch: [30][9800/11272] Time 0.752 (0.803) Data 0.002 (0.002) Loss 1.9334 (2.2154) Prec@1 55.000 (44.227) Prec@5 75.625 (74.784) Epoch: [30][9810/11272] Time 0.892 (0.803) Data 0.002 (0.002) Loss 1.9083 (2.2153) Prec@1 45.625 (44.229) Prec@5 80.000 (74.785) Epoch: [30][9820/11272] Time 0.842 (0.803) Data 0.002 (0.002) Loss 2.1078 (2.2153) Prec@1 46.250 (44.230) Prec@5 76.250 (74.785) Epoch: [30][9830/11272] Time 0.756 (0.803) Data 0.002 (0.002) Loss 1.9393 (2.2152) Prec@1 47.500 (44.233) Prec@5 80.000 (74.787) Epoch: [30][9840/11272] Time 0.847 (0.803) Data 0.002 (0.002) Loss 2.1667 (2.2151) Prec@1 45.000 (44.233) Prec@5 75.625 (74.788) Epoch: [30][9850/11272] Time 0.900 (0.803) Data 0.002 (0.002) Loss 1.8338 (2.2150) Prec@1 55.625 (44.235) Prec@5 84.375 (74.791) Epoch: [30][9860/11272] Time 0.746 (0.803) Data 0.002 (0.002) Loss 2.2278 (2.2150) Prec@1 40.625 (44.234) Prec@5 73.750 (74.792) Epoch: [30][9870/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 2.1356 (2.2149) Prec@1 46.250 (44.236) Prec@5 75.000 (74.794) Epoch: [30][9880/11272] Time 0.902 (0.803) Data 0.002 (0.002) Loss 2.2369 (2.2147) Prec@1 45.625 (44.239) Prec@5 75.000 (74.797) Epoch: [30][9890/11272] Time 0.850 (0.803) Data 0.001 (0.002) Loss 1.9559 (2.2147) Prec@1 49.375 (44.238) Prec@5 79.375 (74.797) Epoch: [30][9900/11272] Time 0.766 (0.803) Data 0.001 (0.002) Loss 2.2495 (2.2146) Prec@1 41.250 (44.239) Prec@5 73.750 (74.799) Epoch: [30][9910/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.2873 (2.2146) Prec@1 40.000 (44.238) Prec@5 76.250 (74.799) Epoch: [30][9920/11272] Time 0.839 (0.803) Data 0.001 (0.002) Loss 2.1927 (2.2145) Prec@1 42.500 (44.239) Prec@5 76.250 (74.801) Epoch: [30][9930/11272] Time 0.821 (0.803) Data 0.001 (0.002) Loss 2.0915 (2.2145) Prec@1 49.375 (44.242) Prec@5 80.000 (74.801) Epoch: [30][9940/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.1006 (2.2144) Prec@1 46.875 (44.243) Prec@5 75.000 (74.802) Epoch: [30][9950/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 2.0087 (2.2144) Prec@1 55.000 (44.246) Prec@5 76.250 (74.803) Epoch: [30][9960/11272] Time 0.848 (0.803) Data 0.002 (0.002) Loss 1.9334 (2.2143) Prec@1 53.125 (44.247) Prec@5 76.875 (74.804) Epoch: [30][9970/11272] Time 0.734 (0.803) Data 0.004 (0.002) Loss 2.0418 (2.2143) Prec@1 45.000 (44.247) Prec@5 77.500 (74.804) Epoch: [30][9980/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 1.9782 (2.2142) Prec@1 49.375 (44.248) Prec@5 76.875 (74.805) Epoch: [30][9990/11272] Time 0.840 (0.803) Data 0.002 (0.002) Loss 2.1574 (2.2141) Prec@1 44.375 (44.248) Prec@5 73.750 (74.806) Epoch: [30][10000/11272] Time 0.821 (0.803) Data 0.001 (0.002) Loss 2.3514 (2.2141) Prec@1 44.375 (44.249) Prec@5 73.750 (74.806) Epoch: [30][10010/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 2.1371 (2.2141) Prec@1 45.000 (44.250) Prec@5 79.375 (74.807) Epoch: [30][10020/11272] Time 0.724 (0.803) Data 0.001 (0.002) Loss 2.1035 (2.2140) Prec@1 43.750 (44.251) Prec@5 76.250 (74.808) Epoch: [30][10030/11272] Time 0.839 (0.803) Data 0.002 (0.002) Loss 2.2644 (2.2139) Prec@1 38.125 (44.252) Prec@5 71.250 (74.809) Epoch: [30][10040/11272] Time 0.848 (0.803) Data 0.002 (0.002) Loss 2.2032 (2.2139) Prec@1 41.875 (44.250) Prec@5 77.500 (74.810) Epoch: [30][10050/11272] Time 0.760 (0.803) Data 0.002 (0.002) Loss 2.0642 (2.2139) Prec@1 51.250 (44.251) Prec@5 77.500 (74.811) Epoch: [30][10060/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 2.1537 (2.2138) Prec@1 43.750 (44.255) Prec@5 73.125 (74.813) Epoch: [30][10070/11272] Time 0.841 (0.803) Data 0.002 (0.002) Loss 2.0986 (2.2138) Prec@1 50.000 (44.255) Prec@5 75.625 (74.813) Epoch: [30][10080/11272] Time 0.863 (0.803) Data 0.002 (0.002) Loss 2.1464 (2.2137) Prec@1 43.125 (44.257) Prec@5 76.250 (74.815) Epoch: [30][10090/11272] Time 0.785 (0.803) Data 0.002 (0.002) Loss 2.3119 (2.2137) Prec@1 50.625 (44.257) Prec@5 72.500 (74.815) Epoch: [30][10100/11272] Time 0.872 (0.803) Data 0.002 (0.002) Loss 2.4421 (2.2136) Prec@1 37.500 (44.258) Prec@5 71.250 (74.816) Epoch: [30][10110/11272] Time 0.837 (0.803) Data 0.002 (0.002) Loss 2.2226 (2.2135) Prec@1 48.125 (44.262) Prec@5 77.500 (74.819) Epoch: [30][10120/11272] Time 0.740 (0.803) Data 0.001 (0.002) Loss 2.1577 (2.2134) Prec@1 45.000 (44.263) Prec@5 74.375 (74.820) Epoch: [30][10130/11272] Time 0.735 (0.803) Data 0.002 (0.002) Loss 2.0926 (2.2134) Prec@1 49.375 (44.265) Prec@5 78.750 (74.820) Epoch: [30][10140/11272] Time 0.845 (0.803) Data 0.002 (0.002) Loss 2.0032 (2.2132) Prec@1 45.625 (44.269) Prec@5 80.000 (74.823) Epoch: [30][10150/11272] Time 0.795 (0.803) Data 0.001 (0.002) Loss 2.2741 (2.2133) Prec@1 45.000 (44.268) Prec@5 73.750 (74.823) Epoch: [30][10160/11272] Time 0.743 (0.803) Data 0.002 (0.002) Loss 1.9901 (2.2132) Prec@1 48.125 (44.267) Prec@5 80.625 (74.825) Epoch: [30][10170/11272] Time 0.775 (0.803) Data 0.002 (0.002) Loss 2.1893 (2.2131) Prec@1 45.625 (44.268) Prec@5 75.625 (74.825) Epoch: [30][10180/11272] Time 0.813 (0.803) Data 0.001 (0.002) Loss 2.0870 (2.2132) Prec@1 46.250 (44.267) Prec@5 77.500 (74.824) Epoch: [30][10190/11272] Time 0.823 (0.803) Data 0.002 (0.002) Loss 1.9504 (2.2132) Prec@1 49.375 (44.268) Prec@5 79.375 (74.824) Epoch: [30][10200/11272] Time 0.753 (0.803) Data 0.001 (0.002) Loss 2.1927 (2.2132) Prec@1 51.250 (44.269) Prec@5 77.500 (74.823) Epoch: [30][10210/11272] Time 0.742 (0.803) Data 0.001 (0.002) Loss 1.8539 (2.2131) Prec@1 49.375 (44.270) Prec@5 81.875 (74.824) Epoch: [30][10220/11272] Time 0.848 (0.803) Data 0.002 (0.002) Loss 2.1499 (2.2130) Prec@1 41.875 (44.271) Prec@5 76.875 (74.826) Epoch: [30][10230/11272] Time 0.726 (0.803) Data 0.003 (0.002) Loss 2.1181 (2.2129) Prec@1 50.000 (44.272) Prec@5 75.625 (74.827) Epoch: [30][10240/11272] Time 0.739 (0.803) Data 0.002 (0.002) Loss 2.2412 (2.2128) Prec@1 45.625 (44.274) Prec@5 75.000 (74.829) Epoch: [30][10250/11272] Time 0.847 (0.803) Data 0.002 (0.002) Loss 2.2544 (2.2127) Prec@1 42.500 (44.275) Prec@5 73.125 (74.831) Epoch: [30][10260/11272] Time 0.843 (0.803) Data 0.001 (0.002) Loss 1.9278 (2.2127) Prec@1 47.500 (44.275) Prec@5 81.250 (74.833) Epoch: [30][10270/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 2.3399 (2.2127) Prec@1 46.875 (44.277) Prec@5 71.250 (74.834) Epoch: [30][10280/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.1055 (2.2126) Prec@1 44.375 (44.278) Prec@5 80.625 (74.836) Epoch: [30][10290/11272] Time 0.898 (0.803) Data 0.002 (0.002) Loss 2.0715 (2.2125) Prec@1 46.875 (44.279) Prec@5 79.375 (74.839) Epoch: [30][10300/11272] Time 0.839 (0.803) Data 0.002 (0.002) Loss 2.0257 (2.2124) Prec@1 50.625 (44.282) Prec@5 76.250 (74.841) Epoch: [30][10310/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 2.2927 (2.2123) Prec@1 41.250 (44.283) Prec@5 76.875 (74.841) Epoch: [30][10320/11272] Time 0.743 (0.803) Data 0.002 (0.002) Loss 2.1849 (2.2123) Prec@1 45.000 (44.283) Prec@5 77.500 (74.841) Epoch: [30][10330/11272] Time 0.875 (0.803) Data 0.002 (0.002) Loss 2.2698 (2.2122) Prec@1 45.625 (44.286) Prec@5 66.875 (74.841) Epoch: [30][10340/11272] Time 0.851 (0.803) Data 0.002 (0.002) Loss 1.8337 (2.2122) Prec@1 48.125 (44.287) Prec@5 79.375 (74.841) Epoch: [30][10350/11272] Time 0.756 (0.803) Data 0.002 (0.002) Loss 2.5065 (2.2122) Prec@1 37.500 (44.286) Prec@5 69.375 (74.840) Epoch: [30][10360/11272] Time 0.825 (0.803) Data 0.002 (0.002) Loss 2.4330 (2.2123) Prec@1 46.250 (44.284) Prec@5 67.500 (74.838) Epoch: [30][10370/11272] Time 0.838 (0.803) Data 0.002 (0.002) Loss 2.2689 (2.2123) Prec@1 38.750 (44.284) Prec@5 74.375 (74.838) Epoch: [30][10380/11272] Time 0.726 (0.803) Data 0.001 (0.002) Loss 2.5136 (2.2123) Prec@1 40.625 (44.282) Prec@5 70.625 (74.837) Epoch: [30][10390/11272] Time 0.748 (0.803) Data 0.002 (0.002) Loss 1.9694 (2.2123) Prec@1 45.000 (44.282) Prec@5 81.250 (74.837) Epoch: [30][10400/11272] Time 0.894 (0.803) Data 0.002 (0.002) Loss 2.2210 (2.2123) Prec@1 45.000 (44.283) Prec@5 78.125 (74.837) Epoch: [30][10410/11272] Time 0.859 (0.803) Data 0.001 (0.002) Loss 2.1778 (2.2122) Prec@1 46.250 (44.285) Prec@5 76.875 (74.839) Epoch: [30][10420/11272] Time 0.732 (0.803) Data 0.002 (0.002) Loss 2.4687 (2.2121) Prec@1 41.875 (44.286) Prec@5 70.000 (74.841) Epoch: [30][10430/11272] Time 0.733 (0.803) Data 0.002 (0.002) Loss 2.2960 (2.2120) Prec@1 41.250 (44.289) Prec@5 71.875 (74.842) Epoch: [30][10440/11272] Time 0.839 (0.803) Data 0.001 (0.002) Loss 1.9300 (2.2120) Prec@1 53.125 (44.291) Prec@5 78.125 (74.841) Epoch: [30][10450/11272] Time 0.859 (0.803) Data 0.002 (0.002) Loss 2.0407 (2.2120) Prec@1 45.625 (44.291) Prec@5 79.375 (74.842) Epoch: [30][10460/11272] Time 0.738 (0.803) Data 0.002 (0.002) Loss 2.1496 (2.2120) Prec@1 43.125 (44.291) Prec@5 79.375 (74.842) Epoch: [30][10470/11272] Time 0.765 (0.803) Data 0.001 (0.002) Loss 2.2717 (2.2120) Prec@1 43.750 (44.291) Prec@5 71.875 (74.841) Epoch: [30][10480/11272] Time 0.852 (0.803) Data 0.002 (0.002) Loss 2.0821 (2.2120) Prec@1 45.625 (44.291) Prec@5 80.000 (74.841) Epoch: [30][10490/11272] Time 0.824 (0.803) Data 0.002 (0.002) Loss 2.2430 (2.2118) Prec@1 45.625 (44.293) Prec@5 76.250 (74.844) Epoch: [30][10500/11272] Time 0.753 (0.803) Data 0.002 (0.002) Loss 2.1051 (2.2117) Prec@1 48.750 (44.296) Prec@5 78.750 (74.846) Epoch: [30][10510/11272] Time 0.845 (0.803) Data 0.002 (0.002) Loss 2.3805 (2.2117) Prec@1 43.750 (44.297) Prec@5 69.375 (74.847) Epoch: [30][10520/11272] Time 0.837 (0.803) Data 0.002 (0.002) Loss 2.3170 (2.2117) Prec@1 46.875 (44.297) Prec@5 70.625 (74.846) Epoch: [30][10530/11272] Time 0.783 (0.803) Data 0.002 (0.002) Loss 2.2197 (2.2117) Prec@1 44.375 (44.297) Prec@5 78.750 (74.847) Epoch: [30][10540/11272] Time 0.774 (0.803) Data 0.002 (0.002) Loss 2.0013 (2.2117) Prec@1 50.000 (44.297) Prec@5 79.375 (74.849) Epoch: [30][10550/11272] Time 0.896 (0.803) Data 0.002 (0.002) Loss 2.0253 (2.2116) Prec@1 45.625 (44.298) Prec@5 75.625 (74.851) Epoch: [30][10560/11272] Time 0.850 (0.803) Data 0.002 (0.002) Loss 2.1902 (2.2115) Prec@1 44.375 (44.300) Prec@5 73.750 (74.853) Epoch: [30][10570/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 1.8710 (2.2114) Prec@1 56.250 (44.300) Prec@5 81.250 (74.854) Epoch: [30][10580/11272] Time 0.754 (0.803) Data 0.002 (0.002) Loss 2.1072 (2.2114) Prec@1 44.375 (44.300) Prec@5 78.125 (74.854) Epoch: [30][10590/11272] Time 0.840 (0.803) Data 0.001 (0.002) Loss 1.9565 (2.2113) Prec@1 50.625 (44.303) Prec@5 79.375 (74.857) Epoch: [30][10600/11272] Time 0.827 (0.803) Data 0.001 (0.002) Loss 1.8946 (2.2112) Prec@1 51.875 (44.305) Prec@5 80.000 (74.859) Epoch: [30][10610/11272] Time 0.737 (0.803) Data 0.002 (0.002) Loss 2.4570 (2.2112) Prec@1 39.375 (44.304) Prec@5 71.250 (74.859) Epoch: [30][10620/11272] Time 0.732 (0.803) Data 0.002 (0.002) Loss 1.9562 (2.2112) Prec@1 43.750 (44.304) Prec@5 81.875 (74.859) Epoch: [30][10630/11272] Time 0.869 (0.803) Data 0.002 (0.002) Loss 2.3212 (2.2112) Prec@1 41.250 (44.305) Prec@5 69.375 (74.860) Epoch: [30][10640/11272] Time 0.723 (0.803) Data 0.001 (0.002) Loss 2.3574 (2.2112) Prec@1 41.875 (44.305) Prec@5 73.750 (74.861) Epoch: [30][10650/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 2.4657 (2.2112) Prec@1 41.250 (44.304) Prec@5 72.500 (74.862) Epoch: [30][10660/11272] Time 0.843 (0.803) Data 0.002 (0.002) Loss 2.0373 (2.2111) Prec@1 46.250 (44.305) Prec@5 83.125 (74.862) Epoch: [30][10670/11272] Time 0.899 (0.803) Data 0.002 (0.002) Loss 2.3126 (2.2111) Prec@1 43.125 (44.305) Prec@5 75.000 (74.861) Epoch: [30][10680/11272] Time 0.739 (0.803) Data 0.002 (0.002) Loss 2.2991 (2.2110) Prec@1 42.500 (44.307) Prec@5 72.500 (74.862) Epoch: [30][10690/11272] Time 0.749 (0.803) Data 0.002 (0.002) Loss 2.2243 (2.2110) Prec@1 41.250 (44.307) Prec@5 75.000 (74.862) Epoch: [30][10700/11272] Time 0.846 (0.803) Data 0.002 (0.002) Loss 2.2298 (2.2110) Prec@1 45.625 (44.309) Prec@5 72.500 (74.862) Epoch: [30][10710/11272] Time 0.837 (0.803) Data 0.002 (0.002) Loss 2.0600 (2.2109) Prec@1 40.625 (44.311) Prec@5 78.125 (74.865) Epoch: [30][10720/11272] Time 0.738 (0.803) Data 0.001 (0.002) Loss 2.1709 (2.2109) Prec@1 50.000 (44.311) Prec@5 75.000 (74.866) Epoch: [30][10730/11272] Time 0.804 (0.803) Data 0.002 (0.002) Loss 2.2974 (2.2109) Prec@1 40.625 (44.311) Prec@5 77.500 (74.866) Epoch: [30][10740/11272] Time 0.828 (0.803) Data 0.002 (0.002) Loss 2.1552 (2.2109) Prec@1 46.875 (44.312) Prec@5 77.500 (74.866) Epoch: [30][10750/11272] Time 0.836 (0.803) Data 0.001 (0.002) Loss 1.8326 (2.2108) Prec@1 50.625 (44.314) Prec@5 85.000 (74.868) Epoch: [30][10760/11272] Time 0.765 (0.803) Data 0.002 (0.002) Loss 2.2104 (2.2108) Prec@1 44.375 (44.315) Prec@5 72.500 (74.869) Epoch: [30][10770/11272] Time 0.876 (0.803) Data 0.002 (0.002) Loss 2.1232 (2.2107) Prec@1 50.625 (44.318) Prec@5 75.000 (74.870) Epoch: [30][10780/11272] Time 0.854 (0.803) Data 0.002 (0.002) Loss 2.2387 (2.2106) Prec@1 42.500 (44.319) Prec@5 75.000 (74.872) Epoch: [30][10790/11272] Time 0.790 (0.803) Data 0.001 (0.002) Loss 2.2127 (2.2105) Prec@1 45.625 (44.321) Prec@5 76.250 (74.874) Epoch: [30][10800/11272] Time 0.748 (0.803) Data 0.001 (0.002) Loss 2.2324 (2.2104) Prec@1 39.375 (44.321) Prec@5 75.000 (74.876) Epoch: [30][10810/11272] Time 0.851 (0.803) Data 0.001 (0.002) Loss 2.0299 (2.2104) Prec@1 48.125 (44.323) Prec@5 76.875 (74.877) Epoch: [30][10820/11272] Time 0.849 (0.803) Data 0.002 (0.002) Loss 2.4167 (2.2104) Prec@1 35.625 (44.322) Prec@5 71.250 (74.876) Epoch: [30][10830/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 2.2445 (2.2104) Prec@1 45.625 (44.323) Prec@5 76.250 (74.877) Epoch: [30][10840/11272] Time 0.730 (0.803) Data 0.002 (0.002) Loss 2.0914 (2.2103) Prec@1 46.250 (44.324) Prec@5 75.000 (74.878) Epoch: [30][10850/11272] Time 0.855 (0.803) Data 0.002 (0.002) Loss 2.0301 (2.2102) Prec@1 47.500 (44.325) Prec@5 77.500 (74.878) Epoch: [30][10860/11272] Time 0.853 (0.803) Data 0.002 (0.002) Loss 2.1125 (2.2102) Prec@1 43.750 (44.323) Prec@5 78.125 (74.879) Epoch: [30][10870/11272] Time 0.775 (0.803) Data 0.002 (0.002) Loss 2.0706 (2.2102) Prec@1 45.000 (44.323) Prec@5 76.875 (74.881) Epoch: [30][10880/11272] Time 0.752 (0.803) Data 0.002 (0.002) Loss 2.1486 (2.2102) Prec@1 43.125 (44.322) Prec@5 76.875 (74.882) Epoch: [30][10890/11272] Time 0.861 (0.803) Data 0.002 (0.002) Loss 2.2090 (2.2102) Prec@1 43.125 (44.321) Prec@5 77.500 (74.881) Epoch: [30][10900/11272] Time 0.743 (0.803) Data 0.004 (0.002) Loss 1.9044 (2.2101) Prec@1 49.375 (44.322) Prec@5 82.500 (74.882) Epoch: [30][10910/11272] Time 0.717 (0.803) Data 0.001 (0.002) Loss 1.9684 (2.2102) Prec@1 51.250 (44.322) Prec@5 80.000 (74.882) Epoch: [30][10920/11272] Time 0.851 (0.803) Data 0.002 (0.002) Loss 2.1733 (2.2101) Prec@1 43.750 (44.324) Prec@5 76.250 (74.883) Epoch: [30][10930/11272] Time 0.822 (0.803) Data 0.001 (0.002) Loss 2.1030 (2.2101) Prec@1 48.750 (44.323) Prec@5 76.250 (74.884) Epoch: [30][10940/11272] Time 0.756 (0.803) Data 0.002 (0.002) Loss 1.9969 (2.2101) Prec@1 48.125 (44.323) Prec@5 79.375 (74.885) Epoch: [30][10950/11272] Time 0.746 (0.803) Data 0.002 (0.002) Loss 2.1081 (2.2101) Prec@1 43.750 (44.323) Prec@5 80.625 (74.885) Epoch: [30][10960/11272] Time 0.849 (0.803) Data 0.002 (0.002) Loss 2.3062 (2.2099) Prec@1 40.625 (44.326) Prec@5 71.875 (74.887) Epoch: [30][10970/11272] Time 0.844 (0.803) Data 0.001 (0.002) Loss 1.7978 (2.2098) Prec@1 53.125 (44.329) Prec@5 83.750 (74.890) Epoch: [30][10980/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.3355 (2.2098) Prec@1 40.625 (44.328) Prec@5 70.000 (74.891) Epoch: [30][10990/11272] Time 0.739 (0.803) Data 0.002 (0.002) Loss 1.9853 (2.2097) Prec@1 48.125 (44.330) Prec@5 81.875 (74.893) Epoch: [30][11000/11272] Time 0.844 (0.803) Data 0.002 (0.002) Loss 2.4363 (2.2097) Prec@1 35.625 (44.330) Prec@5 69.375 (74.894) Epoch: [30][11010/11272] Time 0.849 (0.803) Data 0.001 (0.002) Loss 2.0352 (2.2096) Prec@1 41.250 (44.331) Prec@5 81.250 (74.895) Epoch: [30][11020/11272] Time 0.746 (0.803) Data 0.002 (0.002) Loss 1.9723 (2.2095) Prec@1 52.500 (44.333) Prec@5 77.500 (74.895) Epoch: [30][11030/11272] Time 0.873 (0.803) Data 0.002 (0.002) Loss 2.0608 (2.2095) Prec@1 46.875 (44.333) Prec@5 77.500 (74.896) Epoch: [30][11040/11272] Time 0.843 (0.803) Data 0.002 (0.002) Loss 2.1634 (2.2094) Prec@1 45.625 (44.334) Prec@5 72.500 (74.896) Epoch: [30][11050/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 2.1796 (2.2094) Prec@1 47.500 (44.335) Prec@5 73.750 (74.896) Epoch: [30][11060/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.1393 (2.2094) Prec@1 50.000 (44.337) Prec@5 78.125 (74.897) Epoch: [30][11070/11272] Time 0.895 (0.803) Data 0.002 (0.002) Loss 2.0220 (2.2094) Prec@1 53.125 (44.339) Prec@5 78.125 (74.898) Epoch: [30][11080/11272] Time 0.837 (0.803) Data 0.001 (0.002) Loss 2.0879 (2.2093) Prec@1 45.625 (44.339) Prec@5 75.625 (74.899) Epoch: [30][11090/11272] Time 0.737 (0.803) Data 0.002 (0.002) Loss 2.2142 (2.2092) Prec@1 40.625 (44.341) Prec@5 73.125 (74.901) Epoch: [30][11100/11272] Time 0.750 (0.803) Data 0.002 (0.002) Loss 2.1549 (2.2092) Prec@1 45.000 (44.341) Prec@5 76.250 (74.901) Epoch: [30][11110/11272] Time 0.847 (0.803) Data 0.002 (0.002) Loss 2.0721 (2.2091) Prec@1 51.250 (44.342) Prec@5 78.750 (74.903) Epoch: [30][11120/11272] Time 0.829 (0.803) Data 0.001 (0.002) Loss 2.1027 (2.2091) Prec@1 44.375 (44.343) Prec@5 77.500 (74.905) Epoch: [30][11130/11272] Time 0.715 (0.803) Data 0.001 (0.002) Loss 1.9362 (2.2090) Prec@1 49.375 (44.343) Prec@5 79.375 (74.905) Epoch: [30][11140/11272] Time 0.769 (0.803) Data 0.002 (0.002) Loss 2.4105 (2.2090) Prec@1 38.125 (44.344) Prec@5 69.375 (74.906) Epoch: [30][11150/11272] Time 0.831 (0.803) Data 0.001 (0.002) Loss 2.3948 (2.2090) Prec@1 40.625 (44.344) Prec@5 69.375 (74.907) Epoch: [30][11160/11272] Time 0.731 (0.803) Data 0.003 (0.002) Loss 2.0321 (2.2089) Prec@1 45.625 (44.345) Prec@5 78.750 (74.908) Epoch: [30][11170/11272] Time 0.744 (0.803) Data 0.002 (0.002) Loss 2.0015 (2.2088) Prec@1 45.625 (44.345) Prec@5 80.625 (74.908) Epoch: [30][11180/11272] Time 0.829 (0.803) Data 0.002 (0.002) Loss 2.0308 (2.2087) Prec@1 46.875 (44.348) Prec@5 75.000 (74.910) Epoch: [30][11190/11272] Time 0.920 (0.803) Data 0.002 (0.002) Loss 1.9866 (2.2087) Prec@1 50.000 (44.348) Prec@5 76.250 (74.909) Epoch: [30][11200/11272] Time 0.739 (0.803) Data 0.002 (0.002) Loss 2.2129 (2.2087) Prec@1 48.125 (44.347) Prec@5 70.000 (74.909) Epoch: [30][11210/11272] Time 0.765 (0.803) Data 0.002 (0.002) Loss 1.9633 (2.2086) Prec@1 46.875 (44.350) Prec@5 83.750 (74.912) Epoch: [30][11220/11272] Time 0.850 (0.803) Data 0.001 (0.002) Loss 1.9139 (2.2085) Prec@1 50.000 (44.351) Prec@5 78.750 (74.912) Epoch: [30][11230/11272] Time 0.843 (0.803) Data 0.001 (0.002) Loss 2.1949 (2.2085) Prec@1 45.000 (44.350) Prec@5 73.750 (74.912) Epoch: [30][11240/11272] Time 0.746 (0.803) Data 0.002 (0.002) Loss 2.1817 (2.2085) Prec@1 46.250 (44.350) Prec@5 70.000 (74.914) Epoch: [30][11250/11272] Time 0.752 (0.803) Data 0.002 (0.002) Loss 2.1107 (2.2085) Prec@1 49.375 (44.349) Prec@5 76.250 (74.914) Epoch: [30][11260/11272] Time 0.887 (0.803) Data 0.002 (0.002) Loss 1.9138 (2.2084) Prec@1 53.750 (44.351) Prec@5 76.250 (74.915) Epoch: [30][11270/11272] Time 0.783 (0.803) Data 0.000 (0.002) Loss 2.2195 (2.2084) Prec@1 44.375 (44.351) Prec@5 75.000 (74.916) Test: [0/229] Time 1.548 (1.548) Loss 1.2107 (1.2107) Prec@1 63.750 (63.750) Prec@5 93.125 (93.125) Test: [10/229] Time 0.421 (0.497) Loss 1.0576 (1.6985) Prec@1 71.250 (55.000) Prec@5 96.250 (85.852) Test: [20/229] Time 0.341 (0.438) Loss 2.0975 (1.7810) Prec@1 49.375 (52.411) Prec@5 75.625 (84.315) Test: [30/229] Time 0.439 (0.421) Loss 1.9942 (1.7183) Prec@1 45.000 (54.294) Prec@5 80.000 (84.637) Test: [40/229] Time 0.352 (0.415) Loss 0.4601 (1.7210) Prec@1 89.375 (54.405) Prec@5 95.625 (84.390) Test: [50/229] Time 0.434 (0.410) Loss 2.4865 (1.7789) Prec@1 25.625 (53.199) Prec@5 72.500 (82.978) Test: [60/229] Time 0.316 (0.405) Loss 2.2071 (1.7605) Prec@1 35.000 (53.268) Prec@5 76.875 (83.053) Test: [70/229] Time 0.334 (0.403) Loss 1.2575 (1.7733) Prec@1 68.125 (52.940) Prec@5 88.125 (82.967) Test: [80/229] Time 0.459 (0.403) Loss 2.3784 (1.7900) Prec@1 29.375 (52.353) Prec@5 78.125 (83.025) Test: [90/229] Time 0.363 (0.400) Loss 1.6444 (1.7999) Prec@1 62.500 (52.143) Prec@5 79.375 (82.988) Test: [100/229] Time 0.410 (0.399) Loss 2.3964 (1.7946) Prec@1 46.250 (52.599) Prec@5 78.750 (83.075) Test: [110/229] Time 0.295 (0.397) Loss 1.5041 (1.7804) Prec@1 58.125 (52.804) Prec@5 85.625 (83.361) Test: [120/229] Time 0.417 (0.398) Loss 2.8954 (1.8030) Prec@1 29.375 (52.149) Prec@5 70.000 (83.079) Test: [130/229] Time 0.316 (0.395) Loss 1.3475 (1.7882) Prec@1 61.875 (52.495) Prec@5 90.625 (83.259) Test: [140/229] Time 0.323 (0.396) Loss 1.9974 (1.8007) Prec@1 44.375 (52.168) Prec@5 80.625 (83.165) Test: [150/229] Time 0.419 (0.395) Loss 1.2227 (1.8146) Prec@1 75.625 (51.784) Prec@5 86.250 (83.063) Test: [160/229] Time 0.377 (0.394) Loss 1.7930 (1.8187) Prec@1 57.500 (51.638) Prec@5 88.750 (83.090) Test: [170/229] Time 0.416 (0.394) Loss 1.9879 (1.8335) Prec@1 51.250 (51.206) Prec@5 82.500 (82.876) Test: [180/229] Time 0.347 (0.393) Loss 2.3885 (1.8406) Prec@1 31.875 (51.108) Prec@5 73.125 (82.680) Test: [190/229] Time 0.367 (0.393) Loss 1.4921 (1.8316) Prec@1 61.250 (51.404) Prec@5 92.500 (82.804) Test: [200/229] Time 0.464 (0.393) Loss 1.7482 (1.8260) Prec@1 47.500 (51.446) Prec@5 83.125 (82.988) Test: [210/229] Time 0.338 (0.392) Loss 1.1569 (1.8168) Prec@1 63.125 (51.671) Prec@5 92.500 (83.110) Test: [220/229] Time 0.402 (0.392) Loss 1.5852 (1.8059) Prec@1 60.000 (52.042) Prec@5 88.750 (83.201) * Prec@1 52.449 Prec@5 83.266 Epoch: [31][0/11272] Time 2.995 (2.995) Data 2.013 (2.013) Loss 2.0587 (2.0587) Prec@1 50.625 (50.625) Prec@5 77.500 (77.500) Epoch: [31][10/11272] Time 0.720 (0.997) Data 0.002 (0.184) Loss 2.2404 (2.0713) Prec@1 44.375 (47.273) Prec@5 71.250 (77.273) Epoch: [31][20/11272] Time 0.749 (0.897) Data 0.002 (0.097) Loss 2.3367 (2.1036) Prec@1 37.500 (46.458) Prec@5 74.375 (76.786) Epoch: [31][30/11272] Time 0.842 (0.868) Data 0.002 (0.066) Loss 2.0173 (2.1058) Prec@1 46.875 (46.109) Prec@5 80.625 (76.976) Epoch: [31][40/11272] Time 0.860 (0.849) Data 0.001 (0.051) Loss 2.2185 (2.1177) Prec@1 40.000 (45.503) Prec@5 73.125 (76.875) Epoch: [31][50/11272] Time 0.740 (0.835) Data 0.002 (0.041) Loss 2.1699 (2.1214) Prec@1 44.375 (45.637) Prec@5 74.375 (76.593) Epoch: [31][60/11272] Time 0.741 (0.829) Data 0.002 (0.035) Loss 2.1501 (2.1240) Prec@1 43.750 (46.025) Prec@5 73.750 (76.414) Epoch: [31][70/11272] Time 0.830 (0.823) Data 0.002 (0.030) Loss 2.2950 (2.1255) Prec@1 46.875 (46.021) Prec@5 70.000 (76.268) Epoch: [31][80/11272] Time 0.831 (0.819) Data 0.001 (0.026) Loss 2.3194 (2.1293) Prec@1 44.375 (45.949) Prec@5 72.500 (76.335) Epoch: [31][90/11272] Time 0.700 (0.816) Data 0.001 (0.024) Loss 2.0834 (2.1277) Prec@1 46.875 (46.016) Prec@5 81.250 (76.380) Epoch: [31][100/11272] Time 0.860 (0.813) Data 0.001 (0.022) Loss 2.0457 (2.1308) Prec@1 45.000 (45.835) Prec@5 79.375 (76.368) Epoch: [31][110/11272] Time 0.844 (0.812) Data 0.001 (0.020) Loss 2.4071 (2.1283) Prec@1 44.375 (45.980) Prec@5 74.375 (76.357) Epoch: [31][120/11272] Time 0.738 (0.810) Data 0.001 (0.018) Loss 2.1137 (2.1265) Prec@1 44.375 (46.064) Prec@5 76.250 (76.426) Epoch: [31][130/11272] Time 0.743 (0.809) Data 0.001 (0.017) Loss 2.2315 (2.1247) Prec@1 43.125 (46.050) Prec@5 73.125 (76.398) Epoch: [31][140/11272] Time 0.852 (0.809) Data 0.001 (0.016) Loss 2.3769 (2.1253) Prec@1 43.125 (46.002) Prec@5 71.250 (76.418) Epoch: [31][150/11272] Time 0.845 (0.809) Data 0.001 (0.015) Loss 1.9731 (2.1233) Prec@1 48.125 (46.006) Prec@5 82.500 (76.531) Epoch: [31][160/11272] Time 0.743 (0.808) Data 0.002 (0.014) Loss 2.0805 (2.1211) Prec@1 41.875 (46.071) Prec@5 78.125 (76.502) Epoch: [31][170/11272] Time 0.733 (0.808) Data 0.001 (0.013) Loss 2.1564 (2.1236) Prec@1 49.375 (45.990) Prec@5 76.875 (76.531) Epoch: [31][180/11272] Time 0.870 (0.809) Data 0.001 (0.013) Loss 2.2112 (2.1209) Prec@1 43.125 (46.060) Prec@5 71.875 (76.523) Epoch: [31][190/11272] Time 0.844 (0.808) Data 0.001 (0.012) Loss 1.9653 (2.1234) Prec@1 49.375 (46.024) Prec@5 78.125 (76.430) Epoch: [31][200/11272] Time 0.767 (0.807) Data 0.002 (0.012) Loss 2.2187 (2.1243) Prec@1 45.625 (46.026) Prec@5 72.500 (76.390) Epoch: [31][210/11272] Time 0.747 (0.807) Data 0.002 (0.011) Loss 1.9950 (2.1225) Prec@1 46.875 (46.022) Prec@5 74.375 (76.431) Epoch: [31][220/11272] Time 0.837 (0.807) Data 0.002 (0.011) Loss 2.1053 (2.1228) Prec@1 46.250 (46.046) Prec@5 76.250 (76.406) Epoch: [31][230/11272] Time 0.720 (0.806) Data 0.003 (0.010) Loss 2.3446 (2.1233) Prec@1 41.250 (46.025) Prec@5 75.000 (76.404) Epoch: [31][240/11272] Time 0.782 (0.806) Data 0.002 (0.010) Loss 2.2013 (2.1232) Prec@1 43.750 (46.022) Prec@5 73.750 (76.390) Epoch: [31][250/11272] Time 0.882 (0.807) Data 0.001 (0.010) Loss 2.1505 (2.1240) Prec@1 44.375 (46.063) Prec@5 70.625 (76.362) Epoch: [31][260/11272] Time 0.842 (0.806) Data 0.002 (0.009) Loss 2.0702 (2.1203) Prec@1 47.500 (46.066) Prec@5 77.500 (76.442) Epoch: [31][270/11272] Time 0.763 (0.806) Data 0.001 (0.009) Loss 2.1079 (2.1196) Prec@1 44.375 (46.079) Prec@5 75.625 (76.469) Epoch: [31][280/11272] Time 0.760 (0.806) Data 0.002 (0.009) Loss 2.2042 (2.1217) Prec@1 40.625 (46.012) Prec@5 75.000 (76.441) Epoch: [31][290/11272] Time 0.849 (0.806) Data 0.002 (0.009) Loss 2.1650 (2.1239) Prec@1 49.375 (45.960) Prec@5 76.875 (76.381) Epoch: [31][300/11272] Time 0.837 (0.805) Data 0.002 (0.008) Loss 2.3824 (2.1245) Prec@1 40.625 (45.934) Prec@5 71.875 (76.337) Epoch: [31][310/11272] Time 0.735 (0.805) Data 0.002 (0.008) Loss 2.1288 (2.1260) Prec@1 46.250 (45.932) Prec@5 76.875 (76.298) Epoch: [31][320/11272] Time 0.753 (0.805) Data 0.002 (0.008) Loss 2.1745 (2.1255) Prec@1 46.250 (45.964) Prec@5 76.875 (76.332) Epoch: [31][330/11272] Time 0.853 (0.805) Data 0.002 (0.008) Loss 2.1032 (2.1248) Prec@1 50.000 (45.982) Prec@5 73.750 (76.344) Epoch: [31][340/11272] Time 0.870 (0.805) Data 0.002 (0.008) Loss 1.9333 (2.1263) Prec@1 45.625 (45.926) Prec@5 80.625 (76.316) Epoch: [31][350/11272] Time 0.733 (0.804) Data 0.001 (0.007) Loss 2.2779 (2.1250) Prec@1 50.000 (45.954) Prec@5 71.250 (76.366) Epoch: [31][360/11272] Time 0.803 (0.804) Data 0.001 (0.007) Loss 2.2110 (2.1257) Prec@1 45.625 (45.964) Prec@5 75.625 (76.350) Epoch: [31][370/11272] Time 0.893 (0.804) Data 0.002 (0.007) Loss 1.9639 (2.1266) Prec@1 52.500 (45.954) Prec@5 80.000 (76.361) Epoch: [31][380/11272] Time 0.760 (0.804) Data 0.001 (0.007) Loss 2.2706 (2.1270) Prec@1 46.875 (45.942) Prec@5 77.500 (76.371) Epoch: [31][390/11272] Time 0.734 (0.803) Data 0.001 (0.007) Loss 2.0184 (2.1258) Prec@1 42.500 (45.948) Prec@5 79.375 (76.378) Epoch: [31][400/11272] Time 0.864 (0.804) Data 0.002 (0.007) Loss 2.2203 (2.1254) Prec@1 46.250 (45.982) Prec@5 71.875 (76.381) Epoch: [31][410/11272] Time 0.901 (0.804) Data 0.002 (0.007) Loss 1.9530 (2.1245) Prec@1 50.000 (45.970) Prec@5 80.000 (76.390) Epoch: [31][420/11272] Time 0.728 (0.803) Data 0.002 (0.006) Loss 2.3055 (2.1257) Prec@1 37.500 (45.917) Prec@5 71.875 (76.352) Epoch: [31][430/11272] Time 0.758 (0.803) Data 0.002 (0.006) Loss 2.1366 (2.1236) Prec@1 45.000 (45.931) Prec@5 74.375 (76.395) Epoch: [31][440/11272] Time 0.870 (0.803) Data 0.002 (0.006) Loss 2.0420 (2.1224) Prec@1 46.250 (45.952) Prec@5 75.625 (76.402) Epoch: [31][450/11272] Time 0.832 (0.803) Data 0.002 (0.006) Loss 2.0185 (2.1218) Prec@1 48.125 (45.978) Prec@5 79.375 (76.405) Epoch: [31][460/11272] Time 0.755 (0.803) Data 0.002 (0.006) Loss 2.4695 (2.1225) Prec@1 40.625 (45.979) Prec@5 71.250 (76.410) Epoch: [31][470/11272] Time 0.733 (0.803) Data 0.002 (0.006) Loss 2.1669 (2.1215) Prec@1 47.500 (45.989) Prec@5 73.750 (76.409) Epoch: [31][480/11272] Time 0.821 (0.802) Data 0.002 (0.006) Loss 2.2611 (2.1217) Prec@1 40.625 (45.971) Prec@5 71.875 (76.407) Epoch: [31][490/11272] Time 0.839 (0.802) Data 0.002 (0.006) Loss 2.1107 (2.1222) Prec@1 41.250 (45.956) Prec@5 75.625 (76.398) Epoch: [31][500/11272] Time 0.763 (0.802) Data 0.002 (0.006) Loss 2.2615 (2.1227) Prec@1 47.500 (45.959) Prec@5 74.375 (76.372) Epoch: [31][510/11272] Time 0.850 (0.802) Data 0.002 (0.006) Loss 2.1938 (2.1250) Prec@1 48.750 (45.931) Prec@5 70.000 (76.333) Epoch: [31][520/11272] Time 0.841 (0.802) Data 0.002 (0.005) Loss 2.4696 (2.1245) Prec@1 39.375 (45.955) Prec@5 68.750 (76.311) Epoch: [31][530/11272] Time 0.742 (0.802) Data 0.002 (0.005) Loss 1.8893 (2.1237) Prec@1 50.625 (45.963) Prec@5 78.125 (76.331) Epoch: [31][540/11272] Time 0.752 (0.802) Data 0.002 (0.005) Loss 2.0911 (2.1252) Prec@1 42.500 (45.896) Prec@5 74.375 (76.312) Epoch: [31][550/11272] Time 0.845 (0.802) Data 0.002 (0.005) Loss 2.2009 (2.1276) Prec@1 46.250 (45.855) Prec@5 75.000 (76.253) Epoch: [31][560/11272] Time 0.842 (0.802) Data 0.002 (0.005) Loss 2.0530 (2.1282) Prec@1 51.250 (45.850) Prec@5 76.875 (76.239) Epoch: [31][570/11272] Time 0.744 (0.802) Data 0.001 (0.005) Loss 2.0546 (2.1285) Prec@1 48.125 (45.843) Prec@5 76.875 (76.240) Epoch: [31][580/11272] Time 0.748 (0.802) Data 0.002 (0.005) Loss 2.0313 (2.1289) Prec@1 48.125 (45.829) Prec@5 81.250 (76.237) Epoch: [31][590/11272] Time 0.844 (0.802) Data 0.002 (0.005) Loss 2.0872 (2.1282) Prec@1 42.500 (45.819) Prec@5 79.375 (76.257) Epoch: [31][600/11272] Time 0.859 (0.802) Data 0.001 (0.005) Loss 2.1853 (2.1277) Prec@1 40.000 (45.830) Prec@5 76.250 (76.268) Epoch: [31][610/11272] Time 0.725 (0.801) Data 0.002 (0.005) Loss 1.9620 (2.1269) Prec@1 45.625 (45.841) Prec@5 78.125 (76.297) Epoch: [31][620/11272] Time 0.741 (0.801) Data 0.002 (0.005) Loss 1.8871 (2.1271) Prec@1 55.625 (45.841) Prec@5 81.875 (76.288) Epoch: [31][630/11272] Time 0.872 (0.801) Data 0.002 (0.005) Loss 2.3891 (2.1270) Prec@1 37.500 (45.843) Prec@5 73.750 (76.297) Epoch: [31][640/11272] Time 0.736 (0.801) Data 0.001 (0.005) Loss 2.0280 (2.1276) Prec@1 49.375 (45.836) Prec@5 80.000 (76.300) Epoch: [31][650/11272] Time 0.746 (0.801) Data 0.002 (0.005) Loss 2.1280 (2.1277) Prec@1 44.375 (45.842) Prec@5 78.750 (76.303) Epoch: [31][660/11272] Time 0.868 (0.801) Data 0.001 (0.005) Loss 2.4185 (2.1284) Prec@1 40.625 (45.834) Prec@5 73.125 (76.285) Epoch: [31][670/11272] Time 0.834 (0.801) Data 0.002 (0.005) Loss 2.0757 (2.1278) Prec@1 46.875 (45.839) Prec@5 71.875 (76.299) Epoch: [31][680/11272] Time 0.759 (0.801) Data 0.002 (0.005) Loss 2.2415 (2.1286) Prec@1 38.125 (45.815) Prec@5 71.250 (76.273) Epoch: [31][690/11272] Time 0.751 (0.802) Data 0.002 (0.005) Loss 2.0918 (2.1280) Prec@1 40.625 (45.806) Prec@5 80.625 (76.288) Epoch: [31][700/11272] Time 0.841 (0.802) Data 0.002 (0.005) Loss 2.4258 (2.1284) Prec@1 43.125 (45.794) Prec@5 71.250 (76.284) Epoch: [31][710/11272] Time 0.830 (0.802) Data 0.002 (0.004) Loss 1.8973 (2.1278) Prec@1 52.500 (45.810) Prec@5 77.500 (76.296) Epoch: [31][720/11272] Time 0.742 (0.801) Data 0.002 (0.004) Loss 1.9239 (2.1281) Prec@1 46.875 (45.800) Prec@5 81.875 (76.288) Epoch: [31][730/11272] Time 0.743 (0.801) Data 0.002 (0.004) Loss 1.9188 (2.1279) Prec@1 52.500 (45.836) Prec@5 82.500 (76.300) Epoch: [31][740/11272] Time 0.875 (0.802) Data 0.002 (0.004) Loss 2.0974 (2.1276) Prec@1 48.125 (45.838) Prec@5 76.250 (76.302) Epoch: [31][750/11272] Time 0.869 (0.802) Data 0.002 (0.004) Loss 2.1115 (2.1280) Prec@1 48.125 (45.822) Prec@5 78.750 (76.297) Epoch: [31][760/11272] Time 0.739 (0.802) Data 0.002 (0.004) Loss 2.2859 (2.1282) Prec@1 46.250 (45.816) Prec@5 72.500 (76.285) Epoch: [31][770/11272] Time 0.896 (0.802) Data 0.002 (0.004) Loss 2.1904 (2.1276) Prec@1 41.875 (45.820) Prec@5 74.375 (76.304) Epoch: [31][780/11272] Time 0.838 (0.802) Data 0.002 (0.004) Loss 2.1942 (2.1275) Prec@1 43.125 (45.812) Prec@5 71.250 (76.293) Epoch: [31][790/11272] Time 0.764 (0.802) Data 0.002 (0.004) Loss 2.0248 (2.1275) Prec@1 50.000 (45.812) Prec@5 79.375 (76.309) Epoch: [31][800/11272] Time 0.749 (0.802) Data 0.002 (0.004) Loss 2.1637 (2.1279) Prec@1 40.625 (45.802) Prec@5 75.625 (76.313) Epoch: [31][810/11272] Time 0.824 (0.802) Data 0.001 (0.004) Loss 1.7974 (2.1274) Prec@1 51.875 (45.821) Prec@5 83.750 (76.325) Epoch: [31][820/11272] Time 0.838 (0.802) Data 0.001 (0.004) Loss 1.9340 (2.1280) Prec@1 51.875 (45.814) Prec@5 78.125 (76.319) Epoch: [31][830/11272] Time 0.762 (0.802) Data 0.002 (0.004) Loss 2.1165 (2.1288) Prec@1 45.000 (45.795) Prec@5 76.875 (76.303) Epoch: [31][840/11272] Time 0.741 (0.802) Data 0.001 (0.004) Loss 2.1814 (2.1286) Prec@1 45.000 (45.800) Prec@5 71.875 (76.306) Epoch: [31][850/11272] Time 0.805 (0.802) Data 0.001 (0.004) Loss 2.2135 (2.1287) Prec@1 45.000 (45.806) Prec@5 75.625 (76.312) Epoch: [31][860/11272] Time 0.827 (0.802) Data 0.002 (0.004) Loss 1.8591 (2.1272) Prec@1 48.125 (45.821) Prec@5 83.750 (76.347) Epoch: [31][870/11272] Time 0.733 (0.802) Data 0.002 (0.004) Loss 2.0925 (2.1267) Prec@1 46.875 (45.842) Prec@5 75.000 (76.356) Epoch: [31][880/11272] Time 0.767 (0.802) Data 0.001 (0.004) Loss 2.1034 (2.1264) Prec@1 47.500 (45.839) Prec@5 79.375 (76.374) Epoch: [31][890/11272] Time 0.851 (0.802) Data 0.002 (0.004) Loss 2.5630 (2.1270) Prec@1 38.750 (45.840) Prec@5 66.875 (76.362) Epoch: [31][900/11272] Time 0.728 (0.801) Data 0.004 (0.004) Loss 2.0692 (2.1280) Prec@1 50.625 (45.825) Prec@5 79.375 (76.335) Epoch: [31][910/11272] Time 0.746 (0.801) Data 0.002 (0.004) Loss 2.2635 (2.1275) Prec@1 42.500 (45.821) Prec@5 75.000 (76.347) Epoch: [31][920/11272] Time 0.844 (0.801) Data 0.002 (0.004) Loss 2.3678 (2.1277) Prec@1 45.625 (45.815) Prec@5 68.750 (76.336) Epoch: [31][930/11272] Time 0.853 (0.801) Data 0.002 (0.004) Loss 2.1087 (2.1280) Prec@1 45.000 (45.811) Prec@5 77.500 (76.334) Epoch: [31][940/11272] Time 0.733 (0.801) Data 0.002 (0.004) Loss 2.2592 (2.1276) Prec@1 45.000 (45.812) Prec@5 75.625 (76.349) Epoch: [31][950/11272] Time 0.755 (0.801) Data 0.001 (0.004) Loss 2.2729 (2.1279) Prec@1 41.875 (45.810) Prec@5 75.000 (76.345) Epoch: [31][960/11272] Time 0.906 (0.801) Data 0.002 (0.004) Loss 2.1539 (2.1281) Prec@1 45.625 (45.816) Prec@5 76.250 (76.337) Epoch: [31][970/11272] Time 0.887 (0.802) Data 0.002 (0.004) Loss 2.0737 (2.1287) Prec@1 48.750 (45.808) Prec@5 79.375 (76.343) Epoch: [31][980/11272] Time 0.765 (0.802) Data 0.002 (0.004) Loss 2.3181 (2.1284) Prec@1 40.000 (45.817) Prec@5 74.375 (76.347) Epoch: [31][990/11272] Time 0.772 (0.802) Data 0.002 (0.004) Loss 2.0434 (2.1283) Prec@1 50.000 (45.817) Prec@5 78.125 (76.357) Epoch: [31][1000/11272] Time 0.871 (0.801) Data 0.002 (0.004) Loss 2.2749 (2.1289) Prec@1 39.375 (45.807) Prec@5 72.500 (76.347) Epoch: [31][1010/11272] Time 0.878 (0.801) Data 0.001 (0.004) Loss 2.1500 (2.1297) Prec@1 46.875 (45.793) Prec@5 76.250 (76.330) Epoch: [31][1020/11272] Time 0.739 (0.802) Data 0.001 (0.004) Loss 2.0530 (2.1294) Prec@1 43.125 (45.798) Prec@5 75.625 (76.331) Epoch: [31][1030/11272] Time 0.843 (0.802) Data 0.002 (0.004) Loss 2.2712 (2.1295) Prec@1 46.875 (45.798) Prec@5 73.750 (76.329) Epoch: [31][1040/11272] Time 0.869 (0.802) Data 0.002 (0.004) Loss 2.2476 (2.1296) Prec@1 43.750 (45.782) Prec@5 73.125 (76.331) Epoch: [31][1050/11272] Time 0.728 (0.801) Data 0.001 (0.004) Loss 2.1232 (2.1296) Prec@1 50.000 (45.787) Prec@5 78.750 (76.328) Epoch: [31][1060/11272] Time 0.748 (0.801) Data 0.002 (0.004) Loss 1.9028 (2.1302) Prec@1 50.000 (45.778) Prec@5 83.125 (76.316) Epoch: [31][1070/11272] Time 0.882 (0.801) Data 0.002 (0.004) Loss 2.2040 (2.1302) Prec@1 43.750 (45.781) Prec@5 74.375 (76.316) Epoch: [31][1080/11272] Time 0.861 (0.801) Data 0.002 (0.004) Loss 2.1268 (2.1302) Prec@1 43.125 (45.770) Prec@5 78.125 (76.311) Epoch: [31][1090/11272] Time 0.731 (0.801) Data 0.001 (0.003) Loss 2.1800 (2.1302) Prec@1 46.250 (45.771) Prec@5 75.625 (76.310) Epoch: [31][1100/11272] Time 0.777 (0.801) Data 0.002 (0.003) Loss 2.3743 (2.1298) Prec@1 40.625 (45.781) Prec@5 70.000 (76.312) Epoch: [31][1110/11272] Time 0.835 (0.801) Data 0.002 (0.003) Loss 1.9798 (2.1295) Prec@1 47.500 (45.780) Prec@5 82.500 (76.332) Epoch: [31][1120/11272] Time 0.839 (0.801) Data 0.002 (0.003) Loss 2.0704 (2.1301) Prec@1 46.875 (45.754) Prec@5 73.125 (76.322) Epoch: [31][1130/11272] Time 0.732 (0.801) Data 0.002 (0.003) Loss 2.0912 (2.1306) Prec@1 46.250 (45.748) Prec@5 76.875 (76.312) Epoch: [31][1140/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.3187 (2.1307) Prec@1 41.250 (45.748) Prec@5 76.875 (76.310) Epoch: [31][1150/11272] Time 0.835 (0.801) Data 0.002 (0.003) Loss 2.3825 (2.1315) Prec@1 43.125 (45.732) Prec@5 73.750 (76.293) Epoch: [31][1160/11272] Time 0.728 (0.801) Data 0.003 (0.003) Loss 2.1865 (2.1319) Prec@1 41.250 (45.729) Prec@5 75.000 (76.276) Epoch: [31][1170/11272] Time 0.739 (0.801) Data 0.002 (0.003) Loss 2.2441 (2.1323) Prec@1 46.875 (45.733) Prec@5 72.500 (76.270) Epoch: [31][1180/11272] Time 0.847 (0.801) Data 0.002 (0.003) Loss 2.0177 (2.1318) Prec@1 51.875 (45.748) Prec@5 78.125 (76.269) Epoch: [31][1190/11272] Time 0.847 (0.801) Data 0.002 (0.003) Loss 2.0067 (2.1315) Prec@1 47.500 (45.745) Prec@5 81.250 (76.268) Epoch: [31][1200/11272] Time 0.731 (0.801) Data 0.001 (0.003) Loss 2.2568 (2.1321) Prec@1 41.875 (45.726) Prec@5 76.250 (76.247) Epoch: [31][1210/11272] Time 0.800 (0.801) Data 0.002 (0.003) Loss 2.0837 (2.1323) Prec@1 47.500 (45.718) Prec@5 76.250 (76.239) Epoch: [31][1220/11272] Time 0.856 (0.801) Data 0.002 (0.003) Loss 2.0467 (2.1327) Prec@1 49.375 (45.715) Prec@5 76.250 (76.236) Epoch: [31][1230/11272] Time 0.845 (0.801) Data 0.002 (0.003) Loss 1.9686 (2.1326) Prec@1 51.875 (45.717) Prec@5 77.500 (76.236) Epoch: [31][1240/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 1.9285 (2.1322) Prec@1 52.500 (45.725) Prec@5 77.500 (76.247) Epoch: [31][1250/11272] Time 0.785 (0.801) Data 0.002 (0.003) Loss 2.0233 (2.1319) Prec@1 46.875 (45.727) Prec@5 80.000 (76.253) Epoch: [31][1260/11272] Time 0.897 (0.801) Data 0.002 (0.003) Loss 2.1423 (2.1320) Prec@1 48.750 (45.731) Prec@5 71.875 (76.252) Epoch: [31][1270/11272] Time 0.823 (0.801) Data 0.001 (0.003) Loss 2.3717 (2.1321) Prec@1 43.750 (45.731) Prec@5 73.125 (76.248) Epoch: [31][1280/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.2245 (2.1319) Prec@1 37.500 (45.729) Prec@5 75.000 (76.256) Epoch: [31][1290/11272] Time 0.932 (0.801) Data 0.001 (0.003) Loss 2.2094 (2.1322) Prec@1 41.250 (45.712) Prec@5 73.750 (76.254) Epoch: [31][1300/11272] Time 0.854 (0.801) Data 0.002 (0.003) Loss 1.7421 (2.1322) Prec@1 56.250 (45.719) Prec@5 81.875 (76.249) Epoch: [31][1310/11272] Time 0.755 (0.801) Data 0.002 (0.003) Loss 2.0514 (2.1326) Prec@1 46.875 (45.722) Prec@5 78.750 (76.247) Epoch: [31][1320/11272] Time 0.754 (0.801) Data 0.002 (0.003) Loss 2.3408 (2.1327) Prec@1 44.375 (45.726) Prec@5 65.625 (76.238) Epoch: [31][1330/11272] Time 0.867 (0.801) Data 0.001 (0.003) Loss 1.9401 (2.1326) Prec@1 50.625 (45.728) Prec@5 80.000 (76.243) Epoch: [31][1340/11272] Time 0.843 (0.801) Data 0.001 (0.003) Loss 1.8915 (2.1324) Prec@1 47.500 (45.716) Prec@5 87.500 (76.251) Epoch: [31][1350/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 2.2142 (2.1323) Prec@1 41.250 (45.711) Prec@5 75.625 (76.256) Epoch: [31][1360/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 1.9692 (2.1323) Prec@1 46.250 (45.707) Prec@5 80.625 (76.267) Epoch: [31][1370/11272] Time 0.852 (0.801) Data 0.002 (0.003) Loss 2.5216 (2.1324) Prec@1 40.000 (45.708) Prec@5 70.625 (76.277) Epoch: [31][1380/11272] Time 0.830 (0.801) Data 0.002 (0.003) Loss 2.0202 (2.1330) Prec@1 51.250 (45.704) Prec@5 78.125 (76.264) Epoch: [31][1390/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 2.1174 (2.1333) Prec@1 48.750 (45.704) Prec@5 73.750 (76.251) Epoch: [31][1400/11272] Time 0.740 (0.801) Data 0.002 (0.003) Loss 1.6719 (2.1327) Prec@1 56.250 (45.714) Prec@5 84.375 (76.265) Epoch: [31][1410/11272] Time 0.900 (0.801) Data 0.002 (0.003) Loss 2.1447 (2.1328) Prec@1 41.250 (45.706) Prec@5 76.875 (76.266) Epoch: [31][1420/11272] Time 0.884 (0.801) Data 0.002 (0.003) Loss 2.1846 (2.1330) Prec@1 45.000 (45.712) Prec@5 75.625 (76.266) Epoch: [31][1430/11272] Time 0.738 (0.801) Data 0.002 (0.003) Loss 1.8527 (2.1329) Prec@1 53.125 (45.713) Prec@5 80.000 (76.269) Epoch: [31][1440/11272] Time 0.847 (0.801) Data 0.002 (0.003) Loss 2.2574 (2.1327) Prec@1 40.000 (45.722) Prec@5 76.250 (76.270) Epoch: [31][1450/11272] Time 0.845 (0.801) Data 0.001 (0.003) Loss 2.0875 (2.1328) Prec@1 46.250 (45.715) Prec@5 78.750 (76.262) Epoch: [31][1460/11272] Time 0.754 (0.801) Data 0.002 (0.003) Loss 2.2809 (2.1329) Prec@1 40.000 (45.713) Prec@5 78.750 (76.266) Epoch: [31][1470/11272] Time 0.761 (0.801) Data 0.002 (0.003) Loss 2.0724 (2.1325) Prec@1 48.125 (45.724) Prec@5 77.500 (76.267) Epoch: [31][1480/11272] Time 0.853 (0.801) Data 0.001 (0.003) Loss 2.3054 (2.1321) Prec@1 39.375 (45.727) Prec@5 76.250 (76.277) Epoch: [31][1490/11272] Time 0.828 (0.801) Data 0.001 (0.003) Loss 2.1525 (2.1322) Prec@1 41.250 (45.713) Prec@5 78.125 (76.271) Epoch: [31][1500/11272] Time 0.745 (0.801) Data 0.002 (0.003) Loss 1.8760 (2.1319) Prec@1 48.125 (45.715) Prec@5 77.500 (76.280) Epoch: [31][1510/11272] Time 0.767 (0.801) Data 0.002 (0.003) Loss 2.1102 (2.1317) Prec@1 45.000 (45.723) Prec@5 77.500 (76.285) Epoch: [31][1520/11272] Time 0.843 (0.801) Data 0.001 (0.003) Loss 2.1613 (2.1319) Prec@1 47.500 (45.712) Prec@5 74.375 (76.282) Epoch: [31][1530/11272] Time 0.832 (0.801) Data 0.002 (0.003) Loss 2.3928 (2.1323) Prec@1 45.625 (45.706) Prec@5 71.875 (76.275) Epoch: [31][1540/11272] Time 0.728 (0.801) Data 0.001 (0.003) Loss 2.0047 (2.1323) Prec@1 49.375 (45.701) Prec@5 79.375 (76.276) Epoch: [31][1550/11272] Time 0.741 (0.801) Data 0.002 (0.003) Loss 2.0135 (2.1324) Prec@1 48.125 (45.693) Prec@5 81.875 (76.282) Epoch: [31][1560/11272] Time 0.860 (0.801) Data 0.001 (0.003) Loss 2.2900 (2.1325) Prec@1 45.625 (45.691) Prec@5 71.250 (76.280) Epoch: [31][1570/11272] Time 0.724 (0.801) Data 0.001 (0.003) Loss 2.1398 (2.1326) Prec@1 48.750 (45.696) Prec@5 75.000 (76.285) Epoch: [31][1580/11272] Time 0.749 (0.801) Data 0.001 (0.003) Loss 2.1707 (2.1326) Prec@1 43.125 (45.686) Prec@5 75.000 (76.288) Epoch: [31][1590/11272] Time 0.894 (0.801) Data 0.002 (0.003) Loss 2.0661 (2.1329) Prec@1 50.625 (45.693) Prec@5 76.250 (76.273) Epoch: [31][1600/11272] Time 0.901 (0.801) Data 0.002 (0.003) Loss 1.9093 (2.1334) Prec@1 52.500 (45.684) Prec@5 80.625 (76.268) Epoch: [31][1610/11272] Time 0.748 (0.801) Data 0.002 (0.003) Loss 2.0208 (2.1329) Prec@1 49.375 (45.698) Prec@5 79.375 (76.278) Epoch: [31][1620/11272] Time 0.769 (0.801) Data 0.001 (0.003) Loss 2.3302 (2.1333) Prec@1 43.750 (45.697) Prec@5 70.000 (76.265) Epoch: [31][1630/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 2.2170 (2.1333) Prec@1 44.375 (45.700) Prec@5 73.750 (76.263) Epoch: [31][1640/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 2.1528 (2.1336) Prec@1 40.625 (45.688) Prec@5 77.500 (76.257) Epoch: [31][1650/11272] Time 0.712 (0.801) Data 0.002 (0.003) Loss 2.0317 (2.1339) Prec@1 51.875 (45.689) Prec@5 81.250 (76.255) Epoch: [31][1660/11272] Time 0.758 (0.801) Data 0.002 (0.003) Loss 2.2469 (2.1343) Prec@1 41.250 (45.681) Prec@5 73.125 (76.247) Epoch: [31][1670/11272] Time 0.854 (0.801) Data 0.002 (0.003) Loss 2.0120 (2.1337) Prec@1 48.125 (45.693) Prec@5 75.625 (76.249) Epoch: [31][1680/11272] Time 0.837 (0.801) Data 0.002 (0.003) Loss 2.2614 (2.1338) Prec@1 40.625 (45.693) Prec@5 74.375 (76.244) Epoch: [31][1690/11272] Time 0.767 (0.801) Data 0.002 (0.003) Loss 2.1125 (2.1339) Prec@1 46.875 (45.693) Prec@5 79.375 (76.243) Epoch: [31][1700/11272] Time 0.826 (0.801) Data 0.002 (0.003) Loss 2.1627 (2.1341) Prec@1 44.375 (45.692) Prec@5 79.375 (76.238) Epoch: [31][1710/11272] Time 0.841 (0.801) Data 0.001 (0.003) Loss 2.3267 (2.1340) Prec@1 38.750 (45.689) Prec@5 70.625 (76.237) Epoch: [31][1720/11272] Time 0.739 (0.801) Data 0.002 (0.003) Loss 1.8760 (2.1344) Prec@1 53.750 (45.674) Prec@5 80.625 (76.234) Epoch: [31][1730/11272] Time 0.737 (0.801) Data 0.001 (0.003) Loss 2.3631 (2.1346) Prec@1 41.875 (45.678) Prec@5 69.375 (76.231) Epoch: [31][1740/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 1.9411 (2.1345) Prec@1 53.750 (45.685) Prec@5 80.000 (76.231) Epoch: [31][1750/11272] Time 0.836 (0.801) Data 0.002 (0.003) Loss 1.9831 (2.1346) Prec@1 48.125 (45.684) Prec@5 79.375 (76.229) Epoch: [31][1760/11272] Time 0.740 (0.801) Data 0.001 (0.003) Loss 1.9910 (2.1344) Prec@1 52.500 (45.689) Prec@5 78.125 (76.237) Epoch: [31][1770/11272] Time 0.752 (0.801) Data 0.002 (0.003) Loss 2.3015 (2.1342) Prec@1 45.000 (45.686) Prec@5 70.000 (76.241) Epoch: [31][1780/11272] Time 0.844 (0.801) Data 0.001 (0.003) Loss 1.9283 (2.1343) Prec@1 46.875 (45.684) Prec@5 79.375 (76.234) Epoch: [31][1790/11272] Time 0.849 (0.801) Data 0.002 (0.003) Loss 2.2342 (2.1349) Prec@1 45.625 (45.669) Prec@5 71.250 (76.226) Epoch: [31][1800/11272] Time 0.738 (0.801) Data 0.002 (0.003) Loss 2.1650 (2.1349) Prec@1 50.000 (45.671) Prec@5 74.375 (76.228) Epoch: [31][1810/11272] Time 0.779 (0.801) Data 0.001 (0.003) Loss 2.3675 (2.1348) Prec@1 43.750 (45.679) Prec@5 71.875 (76.228) Epoch: [31][1820/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 2.1865 (2.1346) Prec@1 41.875 (45.686) Prec@5 73.125 (76.228) Epoch: [31][1830/11272] Time 0.742 (0.800) Data 0.003 (0.003) Loss 2.3211 (2.1346) Prec@1 41.875 (45.688) Prec@5 73.750 (76.226) Epoch: [31][1840/11272] Time 0.735 (0.800) Data 0.002 (0.003) Loss 2.0306 (2.1344) Prec@1 46.875 (45.695) Prec@5 79.375 (76.235) Epoch: [31][1850/11272] Time 0.833 (0.801) Data 0.002 (0.003) Loss 2.0350 (2.1340) Prec@1 46.875 (45.703) Prec@5 81.250 (76.247) Epoch: [31][1860/11272] Time 0.843 (0.801) Data 0.002 (0.003) Loss 1.8669 (2.1342) Prec@1 48.125 (45.696) Prec@5 76.875 (76.240) Epoch: [31][1870/11272] Time 0.763 (0.800) Data 0.002 (0.003) Loss 2.3210 (2.1342) Prec@1 42.500 (45.697) Prec@5 78.125 (76.243) Epoch: [31][1880/11272] Time 0.771 (0.800) Data 0.001 (0.003) Loss 1.9830 (2.1340) Prec@1 46.875 (45.705) Prec@5 75.000 (76.241) Epoch: [31][1890/11272] Time 0.846 (0.800) Data 0.001 (0.003) Loss 2.1629 (2.1340) Prec@1 44.375 (45.705) Prec@5 75.000 (76.237) Epoch: [31][1900/11272] Time 0.839 (0.800) Data 0.002 (0.003) Loss 2.3703 (2.1340) Prec@1 42.500 (45.700) Prec@5 73.750 (76.241) Epoch: [31][1910/11272] Time 0.748 (0.800) Data 0.001 (0.003) Loss 2.1076 (2.1344) Prec@1 46.250 (45.694) Prec@5 75.625 (76.232) Epoch: [31][1920/11272] Time 0.734 (0.800) Data 0.002 (0.003) Loss 2.1965 (2.1351) Prec@1 42.500 (45.673) Prec@5 78.750 (76.220) Epoch: [31][1930/11272] Time 0.849 (0.800) Data 0.002 (0.003) Loss 1.9529 (2.1351) Prec@1 51.250 (45.669) Prec@5 80.000 (76.224) Epoch: [31][1940/11272] Time 0.831 (0.800) Data 0.001 (0.003) Loss 2.3061 (2.1352) Prec@1 40.625 (45.668) Prec@5 76.875 (76.220) Epoch: [31][1950/11272] Time 0.729 (0.800) Data 0.002 (0.003) Loss 2.2770 (2.1351) Prec@1 36.875 (45.669) Prec@5 75.625 (76.224) Epoch: [31][1960/11272] Time 0.804 (0.800) Data 0.002 (0.003) Loss 2.0406 (2.1349) Prec@1 50.000 (45.670) Prec@5 77.500 (76.229) Epoch: [31][1970/11272] Time 0.845 (0.800) Data 0.002 (0.003) Loss 2.2873 (2.1347) Prec@1 44.375 (45.668) Prec@5 72.500 (76.228) Epoch: [31][1980/11272] Time 0.735 (0.800) Data 0.001 (0.003) Loss 2.1219 (2.1349) Prec@1 50.000 (45.668) Prec@5 77.500 (76.226) Epoch: [31][1990/11272] Time 0.745 (0.800) Data 0.002 (0.003) Loss 1.9240 (2.1348) Prec@1 50.625 (45.671) Prec@5 77.500 (76.226) Epoch: [31][2000/11272] Time 0.839 (0.800) Data 0.002 (0.003) Loss 1.9564 (2.1350) Prec@1 51.250 (45.667) Prec@5 79.375 (76.223) Epoch: [31][2010/11272] Time 0.854 (0.800) Data 0.002 (0.003) Loss 1.9286 (2.1350) Prec@1 47.500 (45.667) Prec@5 77.500 (76.226) Epoch: [31][2020/11272] Time 0.741 (0.800) Data 0.002 (0.003) Loss 2.2641 (2.1353) Prec@1 38.750 (45.657) Prec@5 74.375 (76.219) Epoch: [31][2030/11272] Time 0.766 (0.800) Data 0.001 (0.003) Loss 2.1273 (2.1355) Prec@1 45.000 (45.656) Prec@5 73.750 (76.216) Epoch: [31][2040/11272] Time 0.891 (0.800) Data 0.002 (0.003) Loss 2.3284 (2.1351) Prec@1 47.500 (45.663) Prec@5 75.625 (76.220) Epoch: [31][2050/11272] Time 0.870 (0.800) Data 0.001 (0.003) Loss 2.3032 (2.1349) Prec@1 42.500 (45.669) Prec@5 72.500 (76.227) Epoch: [31][2060/11272] Time 0.740 (0.800) Data 0.002 (0.003) Loss 2.4045 (2.1350) Prec@1 43.750 (45.667) Prec@5 71.250 (76.223) Epoch: [31][2070/11272] Time 0.740 (0.800) Data 0.002 (0.003) Loss 1.9010 (2.1349) Prec@1 51.250 (45.667) Prec@5 82.500 (76.227) Epoch: [31][2080/11272] Time 0.873 (0.800) Data 0.002 (0.003) Loss 2.1522 (2.1350) Prec@1 43.750 (45.660) Prec@5 75.000 (76.221) Epoch: [31][2090/11272] Time 0.732 (0.800) Data 0.003 (0.003) Loss 2.0541 (2.1351) Prec@1 46.875 (45.653) Prec@5 76.250 (76.221) Epoch: [31][2100/11272] Time 0.740 (0.800) Data 0.002 (0.003) Loss 2.2187 (2.1349) Prec@1 44.375 (45.661) Prec@5 76.875 (76.228) Epoch: [31][2110/11272] Time 0.878 (0.800) Data 0.002 (0.003) Loss 2.0850 (2.1349) Prec@1 45.000 (45.668) Prec@5 75.000 (76.221) Epoch: [31][2120/11272] Time 0.851 (0.800) Data 0.002 (0.003) Loss 2.1977 (2.1348) Prec@1 43.125 (45.669) Prec@5 74.375 (76.222) Epoch: [31][2130/11272] Time 0.739 (0.800) Data 0.002 (0.003) Loss 2.0309 (2.1349) Prec@1 49.375 (45.668) Prec@5 78.125 (76.215) Epoch: [31][2140/11272] Time 0.735 (0.800) Data 0.002 (0.003) Loss 2.0811 (2.1352) Prec@1 48.750 (45.663) Prec@5 78.750 (76.211) Epoch: [31][2150/11272] Time 0.848 (0.800) Data 0.001 (0.003) Loss 2.2361 (2.1354) Prec@1 48.750 (45.668) Prec@5 76.875 (76.212) Epoch: [31][2160/11272] Time 0.833 (0.800) Data 0.002 (0.003) Loss 2.3040 (2.1355) Prec@1 43.125 (45.665) Prec@5 74.375 (76.210) Epoch: [31][2170/11272] Time 0.757 (0.800) Data 0.002 (0.003) Loss 2.3155 (2.1357) Prec@1 45.000 (45.668) Prec@5 76.250 (76.205) Epoch: [31][2180/11272] Time 0.836 (0.800) Data 0.002 (0.003) Loss 2.0996 (2.1360) Prec@1 42.500 (45.667) Prec@5 75.000 (76.203) Epoch: [31][2190/11272] Time 0.843 (0.800) Data 0.002 (0.003) Loss 2.1250 (2.1358) Prec@1 49.375 (45.675) Prec@5 73.750 (76.206) Epoch: [31][2200/11272] Time 0.831 (0.800) Data 0.002 (0.003) Loss 2.2502 (2.1357) Prec@1 36.875 (45.668) Prec@5 75.625 (76.207) Epoch: [31][2210/11272] Time 0.738 (0.800) Data 0.002 (0.003) Loss 2.1824 (2.1354) Prec@1 45.000 (45.676) Prec@5 76.250 (76.212) Epoch: [31][2220/11272] Time 0.836 (0.800) Data 0.002 (0.003) Loss 2.1797 (2.1353) Prec@1 46.250 (45.679) Prec@5 75.000 (76.213) Epoch: [31][2230/11272] Time 0.842 (0.800) Data 0.002 (0.003) Loss 2.1295 (2.1351) Prec@1 45.625 (45.679) Prec@5 74.375 (76.215) Epoch: [31][2240/11272] Time 0.761 (0.800) Data 0.002 (0.003) Loss 2.0985 (2.1353) Prec@1 40.625 (45.678) Prec@5 77.500 (76.209) Epoch: [31][2250/11272] Time 0.760 (0.800) Data 0.001 (0.003) Loss 1.8753 (2.1350) Prec@1 51.875 (45.692) Prec@5 84.375 (76.217) Epoch: [31][2260/11272] Time 0.844 (0.800) Data 0.001 (0.003) Loss 2.1840 (2.1349) Prec@1 49.375 (45.695) Prec@5 75.625 (76.218) Epoch: [31][2270/11272] Time 0.830 (0.800) Data 0.002 (0.003) Loss 2.4435 (2.1355) Prec@1 41.875 (45.684) Prec@5 71.875 (76.212) Epoch: [31][2280/11272] Time 0.767 (0.800) Data 0.002 (0.003) Loss 1.9928 (2.1355) Prec@1 47.500 (45.690) Prec@5 80.625 (76.212) Epoch: [31][2290/11272] Time 0.783 (0.800) Data 0.002 (0.003) Loss 2.1152 (2.1354) Prec@1 42.500 (45.692) Prec@5 77.500 (76.209) Epoch: [31][2300/11272] Time 0.845 (0.800) Data 0.001 (0.003) Loss 2.3187 (2.1354) Prec@1 44.375 (45.691) Prec@5 71.875 (76.205) Epoch: [31][2310/11272] Time 0.850 (0.800) Data 0.002 (0.003) Loss 2.1895 (2.1352) Prec@1 40.000 (45.698) Prec@5 76.250 (76.212) Epoch: [31][2320/11272] Time 0.737 (0.800) Data 0.002 (0.003) Loss 1.9288 (2.1351) Prec@1 46.250 (45.699) Prec@5 80.625 (76.214) Epoch: [31][2330/11272] Time 0.778 (0.800) Data 0.002 (0.003) Loss 1.9726 (2.1351) Prec@1 51.250 (45.701) Prec@5 75.625 (76.206) Epoch: [31][2340/11272] Time 0.847 (0.800) Data 0.002 (0.003) Loss 2.1240 (2.1347) Prec@1 45.625 (45.710) Prec@5 75.000 (76.210) Epoch: [31][2350/11272] Time 0.822 (0.800) Data 0.001 (0.003) Loss 2.1859 (2.1350) Prec@1 46.875 (45.707) Prec@5 78.125 (76.202) Epoch: [31][2360/11272] Time 0.726 (0.800) Data 0.002 (0.003) Loss 2.1715 (2.1352) Prec@1 46.250 (45.703) Prec@5 73.750 (76.201) Epoch: [31][2370/11272] Time 0.907 (0.800) Data 0.002 (0.003) Loss 1.9013 (2.1354) Prec@1 49.375 (45.703) Prec@5 83.125 (76.196) Epoch: [31][2380/11272] Time 0.878 (0.800) Data 0.001 (0.002) Loss 2.1272 (2.1352) Prec@1 45.625 (45.708) Prec@5 71.875 (76.197) Epoch: [31][2390/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.9265 (2.1354) Prec@1 50.000 (45.702) Prec@5 78.125 (76.194) Epoch: [31][2400/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.1188 (2.1355) Prec@1 46.250 (45.701) Prec@5 78.125 (76.193) Epoch: [31][2410/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 2.2585 (2.1355) Prec@1 42.500 (45.698) Prec@5 72.500 (76.191) Epoch: [31][2420/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 2.1447 (2.1361) Prec@1 45.625 (45.688) Prec@5 75.625 (76.185) Epoch: [31][2430/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.5083 (2.1362) Prec@1 34.375 (45.686) Prec@5 67.500 (76.176) Epoch: [31][2440/11272] Time 0.766 (0.800) Data 0.001 (0.002) Loss 2.0019 (2.1363) Prec@1 47.500 (45.688) Prec@5 80.000 (76.175) Epoch: [31][2450/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.2532 (2.1364) Prec@1 41.250 (45.688) Prec@5 69.375 (76.171) Epoch: [31][2460/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 2.1332 (2.1363) Prec@1 43.750 (45.690) Prec@5 71.875 (76.169) Epoch: [31][2470/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.2240 (2.1363) Prec@1 45.000 (45.688) Prec@5 73.750 (76.167) Epoch: [31][2480/11272] Time 0.774 (0.800) Data 0.002 (0.002) Loss 2.2707 (2.1365) Prec@1 46.250 (45.686) Prec@5 69.375 (76.159) Epoch: [31][2490/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.1120 (2.1365) Prec@1 41.875 (45.679) Prec@5 78.750 (76.158) Epoch: [31][2500/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 2.1127 (2.1368) Prec@1 46.250 (45.670) Prec@5 78.125 (76.150) Epoch: [31][2510/11272] Time 0.796 (0.800) Data 0.002 (0.002) Loss 2.0686 (2.1371) Prec@1 45.625 (45.667) Prec@5 81.250 (76.149) Epoch: [31][2520/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.2115 (2.1369) Prec@1 47.500 (45.672) Prec@5 76.875 (76.151) Epoch: [31][2530/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 2.0024 (2.1367) Prec@1 45.000 (45.672) Prec@5 78.125 (76.154) Epoch: [31][2540/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 2.2308 (2.1367) Prec@1 46.250 (45.681) Prec@5 76.250 (76.155) Epoch: [31][2550/11272] Time 0.709 (0.800) Data 0.001 (0.002) Loss 2.1761 (2.1366) Prec@1 48.125 (45.685) Prec@5 78.750 (76.157) Epoch: [31][2560/11272] Time 0.875 (0.800) Data 0.001 (0.002) Loss 2.2300 (2.1368) Prec@1 45.625 (45.686) Prec@5 74.375 (76.153) Epoch: [31][2570/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.3333 (2.1368) Prec@1 44.375 (45.685) Prec@5 75.000 (76.153) Epoch: [31][2580/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.3875 (2.1368) Prec@1 46.250 (45.688) Prec@5 70.000 (76.151) Epoch: [31][2590/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.0715 (2.1369) Prec@1 50.625 (45.693) Prec@5 78.125 (76.148) Epoch: [31][2600/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 1.9895 (2.1365) Prec@1 43.125 (45.699) Prec@5 78.750 (76.155) Epoch: [31][2610/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.7913 (2.1363) Prec@1 54.375 (45.702) Prec@5 83.125 (76.157) Epoch: [31][2620/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 1.9725 (2.1362) Prec@1 50.000 (45.707) Prec@5 80.625 (76.159) Epoch: [31][2630/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.2391 (2.1361) Prec@1 43.750 (45.713) Prec@5 74.375 (76.166) Epoch: [31][2640/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 2.1711 (2.1359) Prec@1 43.125 (45.709) Prec@5 76.250 (76.170) Epoch: [31][2650/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.3275 (2.1361) Prec@1 42.500 (45.700) Prec@5 73.750 (76.163) Epoch: [31][2660/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.8807 (2.1359) Prec@1 49.375 (45.704) Prec@5 81.250 (76.174) Epoch: [31][2670/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.2323 (2.1364) Prec@1 48.750 (45.695) Prec@5 76.875 (76.167) Epoch: [31][2680/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.1919 (2.1366) Prec@1 45.625 (45.690) Prec@5 75.000 (76.165) Epoch: [31][2690/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.0341 (2.1363) Prec@1 52.500 (45.697) Prec@5 82.500 (76.176) Epoch: [31][2700/11272] Time 0.778 (0.800) Data 0.003 (0.002) Loss 2.0631 (2.1365) Prec@1 43.750 (45.692) Prec@5 76.875 (76.174) Epoch: [31][2710/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0186 (2.1365) Prec@1 46.250 (45.694) Prec@5 76.875 (76.170) Epoch: [31][2720/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 2.3473 (2.1368) Prec@1 39.375 (45.686) Prec@5 75.625 (76.166) Epoch: [31][2730/11272] Time 0.771 (0.800) Data 0.002 (0.002) Loss 2.0068 (2.1367) Prec@1 41.875 (45.687) Prec@5 78.750 (76.166) Epoch: [31][2740/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1580 (2.1367) Prec@1 47.500 (45.685) Prec@5 75.625 (76.166) Epoch: [31][2750/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 1.8935 (2.1363) Prec@1 52.500 (45.695) Prec@5 75.625 (76.168) Epoch: [31][2760/11272] Time 0.735 (0.800) Data 0.003 (0.002) Loss 2.1319 (2.1362) Prec@1 47.500 (45.696) Prec@5 76.875 (76.165) Epoch: [31][2770/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 2.0922 (2.1362) Prec@1 49.375 (45.697) Prec@5 78.750 (76.169) Epoch: [31][2780/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 1.9152 (2.1361) Prec@1 48.750 (45.698) Prec@5 80.000 (76.173) Epoch: [31][2790/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 2.3138 (2.1364) Prec@1 43.125 (45.690) Prec@5 73.125 (76.166) Epoch: [31][2800/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.3881 (2.1363) Prec@1 38.750 (45.700) Prec@5 74.375 (76.170) Epoch: [31][2810/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.1059 (2.1364) Prec@1 45.625 (45.699) Prec@5 75.000 (76.172) Epoch: [31][2820/11272] Time 0.822 (0.800) Data 0.002 (0.002) Loss 2.0767 (2.1364) Prec@1 46.250 (45.694) Prec@5 75.000 (76.178) Epoch: [31][2830/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.1451 (2.1365) Prec@1 43.125 (45.695) Prec@5 75.625 (76.174) Epoch: [31][2840/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.3158 (2.1366) Prec@1 47.500 (45.691) Prec@5 73.125 (76.172) Epoch: [31][2850/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 1.9775 (2.1366) Prec@1 45.625 (45.689) Prec@5 75.625 (76.168) Epoch: [31][2860/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.1846 (2.1366) Prec@1 45.625 (45.686) Prec@5 78.750 (76.169) Epoch: [31][2870/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.2299 (2.1366) Prec@1 43.750 (45.687) Prec@5 75.000 (76.167) Epoch: [31][2880/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.9550 (2.1366) Prec@1 42.500 (45.686) Prec@5 79.375 (76.167) Epoch: [31][2890/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.4009 (2.1372) Prec@1 35.625 (45.678) Prec@5 71.250 (76.157) Epoch: [31][2900/11272] Time 0.878 (0.800) Data 0.002 (0.002) Loss 2.1251 (2.1371) Prec@1 44.375 (45.677) Prec@5 77.500 (76.160) Epoch: [31][2910/11272] Time 0.783 (0.800) Data 0.001 (0.002) Loss 2.1312 (2.1372) Prec@1 47.500 (45.675) Prec@5 76.250 (76.158) Epoch: [31][2920/11272] Time 0.765 (0.800) Data 0.003 (0.002) Loss 1.9954 (2.1374) Prec@1 46.250 (45.675) Prec@5 77.500 (76.157) Epoch: [31][2930/11272] Time 0.901 (0.801) Data 0.002 (0.002) Loss 2.0400 (2.1370) Prec@1 41.250 (45.682) Prec@5 83.750 (76.165) Epoch: [31][2940/11272] Time 0.841 (0.801) Data 0.002 (0.002) Loss 2.2440 (2.1371) Prec@1 45.625 (45.681) Prec@5 75.625 (76.161) Epoch: [31][2950/11272] Time 0.755 (0.801) Data 0.001 (0.002) Loss 2.0394 (2.1372) Prec@1 43.750 (45.675) Prec@5 79.375 (76.159) Epoch: [31][2960/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.2142 (2.1372) Prec@1 43.125 (45.679) Prec@5 75.000 (76.158) Epoch: [31][2970/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.0195 (2.1372) Prec@1 52.500 (45.680) Prec@5 77.500 (76.160) Epoch: [31][2980/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.9685 (2.1370) Prec@1 50.000 (45.678) Prec@5 80.000 (76.161) Epoch: [31][2990/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1337 (2.1373) Prec@1 47.500 (45.678) Prec@5 81.875 (76.162) Epoch: [31][3000/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0801 (2.1375) Prec@1 48.750 (45.671) Prec@5 76.250 (76.155) Epoch: [31][3010/11272] Time 0.896 (0.800) Data 0.002 (0.002) Loss 2.5178 (2.1375) Prec@1 38.125 (45.666) Prec@5 68.750 (76.156) Epoch: [31][3020/11272] Time 0.755 (0.800) Data 0.004 (0.002) Loss 2.1761 (2.1377) Prec@1 43.750 (45.662) Prec@5 80.000 (76.157) Epoch: [31][3030/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1738 (2.1377) Prec@1 40.625 (45.658) Prec@5 73.125 (76.157) Epoch: [31][3040/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.0202 (2.1377) Prec@1 46.875 (45.661) Prec@5 80.625 (76.160) Epoch: [31][3050/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.2292 (2.1376) Prec@1 43.750 (45.665) Prec@5 73.125 (76.165) Epoch: [31][3060/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1443 (2.1374) Prec@1 46.875 (45.674) Prec@5 76.250 (76.166) Epoch: [31][3070/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0883 (2.1373) Prec@1 45.000 (45.672) Prec@5 78.125 (76.168) Epoch: [31][3080/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.1357 (2.1373) Prec@1 40.625 (45.665) Prec@5 78.125 (76.166) Epoch: [31][3090/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.0455 (2.1371) Prec@1 46.250 (45.667) Prec@5 80.000 (76.170) Epoch: [31][3100/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1719 (2.1368) Prec@1 45.000 (45.678) Prec@5 75.000 (76.177) Epoch: [31][3110/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.3192 (2.1370) Prec@1 45.625 (45.676) Prec@5 74.375 (76.176) Epoch: [31][3120/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.2249 (2.1368) Prec@1 45.000 (45.677) Prec@5 72.500 (76.180) Epoch: [31][3130/11272] Time 0.817 (0.800) Data 0.001 (0.002) Loss 2.2188 (2.1368) Prec@1 43.750 (45.678) Prec@5 76.250 (76.179) Epoch: [31][3140/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 2.3722 (2.1368) Prec@1 38.750 (45.676) Prec@5 73.125 (76.181) Epoch: [31][3150/11272] Time 0.928 (0.800) Data 0.002 (0.002) Loss 2.2474 (2.1367) Prec@1 47.500 (45.678) Prec@5 72.500 (76.180) Epoch: [31][3160/11272] Time 0.840 (0.800) Data 0.001 (0.002) Loss 2.2036 (2.1367) Prec@1 45.000 (45.681) Prec@5 73.750 (76.180) Epoch: [31][3170/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.3943 (2.1367) Prec@1 40.000 (45.685) Prec@5 67.500 (76.179) Epoch: [31][3180/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.0468 (2.1366) Prec@1 45.625 (45.686) Prec@5 79.375 (76.182) Epoch: [31][3190/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.0296 (2.1367) Prec@1 45.625 (45.681) Prec@5 73.750 (76.180) Epoch: [31][3200/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.2800 (2.1368) Prec@1 37.500 (45.678) Prec@5 73.750 (76.181) Epoch: [31][3210/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.3567 (2.1369) Prec@1 38.125 (45.677) Prec@5 68.750 (76.180) Epoch: [31][3220/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.8876 (2.1368) Prec@1 55.625 (45.683) Prec@5 76.875 (76.182) Epoch: [31][3230/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.2092 (2.1369) Prec@1 41.875 (45.679) Prec@5 78.125 (76.178) Epoch: [31][3240/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 1.9763 (2.1368) Prec@1 48.125 (45.681) Prec@5 80.625 (76.179) Epoch: [31][3250/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.1161 (2.1370) Prec@1 45.000 (45.677) Prec@5 76.875 (76.177) Epoch: [31][3260/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 1.9916 (2.1370) Prec@1 43.750 (45.682) Prec@5 76.875 (76.181) Epoch: [31][3270/11272] Time 0.912 (0.800) Data 0.002 (0.002) Loss 2.0255 (2.1369) Prec@1 48.125 (45.688) Prec@5 76.875 (76.187) Epoch: [31][3280/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0151 (2.1368) Prec@1 46.875 (45.687) Prec@5 76.875 (76.189) Epoch: [31][3290/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 2.2800 (2.1370) Prec@1 45.000 (45.682) Prec@5 71.250 (76.184) Epoch: [31][3300/11272] Time 0.905 (0.800) Data 0.002 (0.002) Loss 2.0664 (2.1368) Prec@1 43.750 (45.683) Prec@5 76.250 (76.189) Epoch: [31][3310/11272] Time 0.931 (0.800) Data 0.002 (0.002) Loss 2.0812 (2.1366) Prec@1 42.500 (45.683) Prec@5 80.000 (76.192) Epoch: [31][3320/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1433 (2.1366) Prec@1 46.250 (45.679) Prec@5 75.625 (76.193) Epoch: [31][3330/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.3347 (2.1366) Prec@1 41.250 (45.677) Prec@5 71.250 (76.193) Epoch: [31][3340/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.1126 (2.1368) Prec@1 48.125 (45.672) Prec@5 80.000 (76.188) Epoch: [31][3350/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 2.4181 (2.1369) Prec@1 46.250 (45.671) Prec@5 69.375 (76.186) Epoch: [31][3360/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1173 (2.1368) Prec@1 45.625 (45.675) Prec@5 75.000 (76.189) Epoch: [31][3370/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.3746 (2.1369) Prec@1 37.500 (45.672) Prec@5 73.750 (76.186) Epoch: [31][3380/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 1.9330 (2.1369) Prec@1 46.875 (45.671) Prec@5 77.500 (76.188) Epoch: [31][3390/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1225 (2.1368) Prec@1 49.375 (45.670) Prec@5 75.625 (76.188) Epoch: [31][3400/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0253 (2.1368) Prec@1 43.125 (45.672) Prec@5 78.750 (76.186) Epoch: [31][3410/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.1412 (2.1367) Prec@1 46.250 (45.672) Prec@5 74.375 (76.188) Epoch: [31][3420/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.2327 (2.1365) Prec@1 44.375 (45.678) Prec@5 72.500 (76.191) Epoch: [31][3430/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 1.9084 (2.1365) Prec@1 53.125 (45.683) Prec@5 77.500 (76.192) Epoch: [31][3440/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.2118 (2.1367) Prec@1 43.750 (45.680) Prec@5 73.125 (76.188) Epoch: [31][3450/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.1525 (2.1367) Prec@1 44.375 (45.682) Prec@5 75.625 (76.187) Epoch: [31][3460/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.0727 (2.1367) Prec@1 45.625 (45.677) Prec@5 78.750 (76.188) Epoch: [31][3470/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.0605 (2.1367) Prec@1 41.875 (45.677) Prec@5 75.625 (76.185) Epoch: [31][3480/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.1532 (2.1368) Prec@1 39.375 (45.674) Prec@5 77.500 (76.185) Epoch: [31][3490/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 2.1225 (2.1369) Prec@1 45.000 (45.670) Prec@5 77.500 (76.183) Epoch: [31][3500/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.0653 (2.1369) Prec@1 48.125 (45.668) Prec@5 76.250 (76.184) Epoch: [31][3510/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.1593 (2.1369) Prec@1 43.750 (45.669) Prec@5 71.875 (76.180) Epoch: [31][3520/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0028 (2.1369) Prec@1 42.500 (45.666) Prec@5 79.375 (76.180) Epoch: [31][3530/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.3144 (2.1370) Prec@1 41.875 (45.669) Prec@5 70.625 (76.177) Epoch: [31][3540/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1385 (2.1368) Prec@1 46.250 (45.671) Prec@5 75.000 (76.179) Epoch: [31][3550/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.3052 (2.1369) Prec@1 43.125 (45.664) Prec@5 73.750 (76.182) Epoch: [31][3560/11272] Time 0.893 (0.800) Data 0.002 (0.002) Loss 2.1983 (2.1369) Prec@1 44.375 (45.664) Prec@5 70.625 (76.180) Epoch: [31][3570/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.2538 (2.1370) Prec@1 42.500 (45.657) Prec@5 71.875 (76.176) Epoch: [31][3580/11272] Time 0.708 (0.800) Data 0.001 (0.002) Loss 1.9515 (2.1371) Prec@1 51.250 (45.656) Prec@5 78.750 (76.174) Epoch: [31][3590/11272] Time 0.774 (0.800) Data 0.002 (0.002) Loss 2.0619 (2.1373) Prec@1 48.125 (45.652) Prec@5 79.375 (76.170) Epoch: [31][3600/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.1839 (2.1374) Prec@1 45.625 (45.650) Prec@5 77.500 (76.171) Epoch: [31][3610/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 2.3061 (2.1377) Prec@1 45.625 (45.646) Prec@5 73.750 (76.166) Epoch: [31][3620/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0385 (2.1376) Prec@1 48.750 (45.652) Prec@5 77.500 (76.165) Epoch: [31][3630/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 1.9240 (2.1375) Prec@1 51.875 (45.658) Prec@5 80.625 (76.168) Epoch: [31][3640/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 2.2009 (2.1374) Prec@1 46.250 (45.657) Prec@5 73.125 (76.169) Epoch: [31][3650/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 1.9249 (2.1375) Prec@1 46.875 (45.655) Prec@5 83.125 (76.168) Epoch: [31][3660/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.4723 (2.1374) Prec@1 36.250 (45.658) Prec@5 74.375 (76.170) Epoch: [31][3670/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.9490 (2.1372) Prec@1 50.000 (45.665) Prec@5 78.750 (76.174) Epoch: [31][3680/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.1973 (2.1372) Prec@1 46.875 (45.664) Prec@5 73.750 (76.177) Epoch: [31][3690/11272] Time 0.734 (0.800) Data 0.003 (0.002) Loss 2.0683 (2.1372) Prec@1 46.875 (45.666) Prec@5 77.500 (76.176) Epoch: [31][3700/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.8827 (2.1374) Prec@1 47.500 (45.659) Prec@5 79.375 (76.174) Epoch: [31][3710/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.2767 (2.1374) Prec@1 44.375 (45.658) Prec@5 75.625 (76.173) Epoch: [31][3720/11272] Time 0.865 (0.800) Data 0.002 (0.002) Loss 2.1781 (2.1376) Prec@1 43.125 (45.658) Prec@5 76.250 (76.170) Epoch: [31][3730/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.9733 (2.1374) Prec@1 48.750 (45.664) Prec@5 79.375 (76.172) Epoch: [31][3740/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 1.8414 (2.1374) Prec@1 51.250 (45.662) Prec@5 85.000 (76.170) Epoch: [31][3750/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.2681 (2.1375) Prec@1 43.750 (45.660) Prec@5 76.250 (76.169) Epoch: [31][3760/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.2655 (2.1375) Prec@1 47.500 (45.660) Prec@5 69.375 (76.171) Epoch: [31][3770/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9667 (2.1375) Prec@1 46.875 (45.655) Prec@5 80.625 (76.171) Epoch: [31][3780/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.2656 (2.1373) Prec@1 41.250 (45.656) Prec@5 74.375 (76.177) Epoch: [31][3790/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0691 (2.1372) Prec@1 44.375 (45.657) Prec@5 75.625 (76.182) Epoch: [31][3800/11272] Time 0.823 (0.800) Data 0.002 (0.002) Loss 1.9179 (2.1370) Prec@1 48.750 (45.658) Prec@5 81.875 (76.184) Epoch: [31][3810/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.1190 (2.1369) Prec@1 45.000 (45.657) Prec@5 76.875 (76.191) Epoch: [31][3820/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.3286 (2.1370) Prec@1 41.250 (45.655) Prec@5 70.625 (76.190) Epoch: [31][3830/11272] Time 0.866 (0.800) Data 0.001 (0.002) Loss 1.9582 (2.1370) Prec@1 50.000 (45.656) Prec@5 80.000 (76.188) Epoch: [31][3840/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.3766 (2.1370) Prec@1 41.875 (45.658) Prec@5 70.000 (76.187) Epoch: [31][3850/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.9704 (2.1368) Prec@1 51.875 (45.663) Prec@5 81.250 (76.188) Epoch: [31][3860/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 1.9999 (2.1366) Prec@1 45.000 (45.664) Prec@5 76.875 (76.191) Epoch: [31][3870/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.4267 (2.1366) Prec@1 36.875 (45.665) Prec@5 70.625 (76.190) Epoch: [31][3880/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.1517 (2.1367) Prec@1 46.875 (45.661) Prec@5 75.000 (76.186) Epoch: [31][3890/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1497 (2.1366) Prec@1 45.000 (45.660) Prec@5 74.375 (76.185) Epoch: [31][3900/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.2540 (2.1367) Prec@1 46.250 (45.660) Prec@5 68.750 (76.181) Epoch: [31][3910/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.0623 (2.1367) Prec@1 45.625 (45.661) Prec@5 77.500 (76.179) Epoch: [31][3920/11272] Time 0.716 (0.800) Data 0.001 (0.002) Loss 2.2072 (2.1367) Prec@1 42.500 (45.658) Prec@5 80.000 (76.180) Epoch: [31][3930/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.1129 (2.1364) Prec@1 43.125 (45.660) Prec@5 73.125 (76.184) Epoch: [31][3940/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.0361 (2.1366) Prec@1 46.250 (45.656) Prec@5 78.750 (76.185) Epoch: [31][3950/11272] Time 0.724 (0.800) Data 0.003 (0.002) Loss 2.0153 (2.1366) Prec@1 46.250 (45.652) Prec@5 78.750 (76.184) Epoch: [31][3960/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.1624 (2.1367) Prec@1 43.125 (45.650) Prec@5 76.875 (76.185) Epoch: [31][3970/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 2.1721 (2.1365) Prec@1 45.000 (45.655) Prec@5 78.125 (76.192) Epoch: [31][3980/11272] Time 0.962 (0.800) Data 0.002 (0.002) Loss 1.9064 (2.1365) Prec@1 52.500 (45.650) Prec@5 78.125 (76.190) Epoch: [31][3990/11272] Time 0.759 (0.800) Data 0.002 (0.002) Loss 2.0582 (2.1366) Prec@1 46.875 (45.651) Prec@5 75.625 (76.189) Epoch: [31][4000/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1528 (2.1366) Prec@1 48.125 (45.653) Prec@5 73.125 (76.191) Epoch: [31][4010/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.2425 (2.1367) Prec@1 47.500 (45.654) Prec@5 70.000 (76.187) Epoch: [31][4020/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.2425 (2.1369) Prec@1 45.625 (45.654) Prec@5 75.625 (76.185) Epoch: [31][4030/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.5195 (2.1370) Prec@1 38.750 (45.653) Prec@5 68.750 (76.186) Epoch: [31][4040/11272] Time 0.754 (0.800) Data 0.001 (0.002) Loss 2.1402 (2.1371) Prec@1 50.625 (45.654) Prec@5 73.750 (76.180) Epoch: [31][4050/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.0656 (2.1371) Prec@1 46.250 (45.655) Prec@5 80.625 (76.181) Epoch: [31][4060/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 2.1137 (2.1372) Prec@1 41.875 (45.651) Prec@5 79.375 (76.179) Epoch: [31][4070/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.0997 (2.1372) Prec@1 46.875 (45.649) Prec@5 79.375 (76.183) Epoch: [31][4080/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 1.9650 (2.1370) Prec@1 48.125 (45.653) Prec@5 76.875 (76.188) Epoch: [31][4090/11272] Time 0.825 (0.800) Data 0.002 (0.002) Loss 2.1104 (2.1367) Prec@1 43.750 (45.661) Prec@5 73.750 (76.193) Epoch: [31][4100/11272] Time 0.780 (0.800) Data 0.001 (0.002) Loss 2.0359 (2.1365) Prec@1 50.000 (45.665) Prec@5 73.750 (76.195) Epoch: [31][4110/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 2.0089 (2.1366) Prec@1 53.750 (45.663) Prec@5 76.875 (76.194) Epoch: [31][4120/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.9957 (2.1364) Prec@1 47.500 (45.666) Prec@5 80.000 (76.197) Epoch: [31][4130/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9725 (2.1363) Prec@1 51.250 (45.666) Prec@5 76.875 (76.201) Epoch: [31][4140/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.2342 (2.1364) Prec@1 44.375 (45.663) Prec@5 76.250 (76.200) Epoch: [31][4150/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1014 (2.1364) Prec@1 48.125 (45.662) Prec@5 78.750 (76.200) Epoch: [31][4160/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.1161 (2.1363) Prec@1 46.875 (45.667) Prec@5 79.375 (76.203) Epoch: [31][4170/11272] Time 0.816 (0.800) Data 0.002 (0.002) Loss 2.2769 (2.1364) Prec@1 45.000 (45.667) Prec@5 69.375 (76.200) Epoch: [31][4180/11272] Time 0.702 (0.800) Data 0.001 (0.002) Loss 2.2949 (2.1364) Prec@1 45.625 (45.666) Prec@5 70.625 (76.199) Epoch: [31][4190/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.2624 (2.1364) Prec@1 43.750 (45.668) Prec@5 71.875 (76.201) Epoch: [31][4200/11272] Time 0.822 (0.800) Data 0.002 (0.002) Loss 2.1078 (2.1364) Prec@1 46.875 (45.668) Prec@5 80.000 (76.203) Epoch: [31][4210/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.3338 (2.1364) Prec@1 41.875 (45.672) Prec@5 71.875 (76.205) Epoch: [31][4220/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.2434 (2.1363) Prec@1 43.125 (45.671) Prec@5 75.625 (76.208) Epoch: [31][4230/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.0429 (2.1363) Prec@1 46.250 (45.671) Prec@5 79.375 (76.208) Epoch: [31][4240/11272] Time 0.857 (0.800) Data 0.003 (0.002) Loss 2.1632 (2.1364) Prec@1 48.750 (45.669) Prec@5 72.500 (76.204) Epoch: [31][4250/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1299 (2.1364) Prec@1 45.625 (45.668) Prec@5 74.375 (76.206) Epoch: [31][4260/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.1903 (2.1364) Prec@1 47.500 (45.670) Prec@5 76.875 (76.206) Epoch: [31][4270/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 2.1797 (2.1363) Prec@1 43.125 (45.675) Prec@5 78.125 (76.208) Epoch: [31][4280/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 1.8493 (2.1362) Prec@1 50.625 (45.678) Prec@5 81.250 (76.212) Epoch: [31][4290/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.0568 (2.1360) Prec@1 53.125 (45.683) Prec@5 78.125 (76.213) Epoch: [31][4300/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1658 (2.1360) Prec@1 48.750 (45.683) Prec@5 76.250 (76.215) Epoch: [31][4310/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.4121 (2.1360) Prec@1 37.500 (45.682) Prec@5 69.375 (76.213) Epoch: [31][4320/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0489 (2.1361) Prec@1 48.125 (45.680) Prec@5 76.250 (76.212) Epoch: [31][4330/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.1023 (2.1360) Prec@1 49.375 (45.679) Prec@5 77.500 (76.215) Epoch: [31][4340/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1461 (2.1359) Prec@1 42.500 (45.680) Prec@5 77.500 (76.217) Epoch: [31][4350/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.9172 (2.1357) Prec@1 54.375 (45.685) Prec@5 83.125 (76.219) Epoch: [31][4360/11272] Time 0.760 (0.800) Data 0.001 (0.002) Loss 2.4010 (2.1358) Prec@1 34.375 (45.684) Prec@5 77.500 (76.219) Epoch: [31][4370/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.1124 (2.1358) Prec@1 46.250 (45.684) Prec@5 81.250 (76.218) Epoch: [31][4380/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.2064 (2.1358) Prec@1 42.500 (45.682) Prec@5 77.500 (76.218) Epoch: [31][4390/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 1.9851 (2.1359) Prec@1 49.375 (45.681) Prec@5 78.750 (76.217) Epoch: [31][4400/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 1.8986 (2.1360) Prec@1 52.500 (45.680) Prec@5 78.750 (76.214) Epoch: [31][4410/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.1522 (2.1358) Prec@1 44.375 (45.681) Prec@5 71.875 (76.216) Epoch: [31][4420/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.1787 (2.1357) Prec@1 48.125 (45.683) Prec@5 77.500 (76.215) Epoch: [31][4430/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.1280 (2.1357) Prec@1 48.125 (45.685) Prec@5 76.250 (76.214) Epoch: [31][4440/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0319 (2.1356) Prec@1 48.750 (45.687) Prec@5 79.375 (76.217) Epoch: [31][4450/11272] Time 0.778 (0.800) Data 0.001 (0.002) Loss 2.3421 (2.1357) Prec@1 38.750 (45.685) Prec@5 71.250 (76.216) Epoch: [31][4460/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.4077 (2.1357) Prec@1 35.625 (45.684) Prec@5 75.000 (76.216) Epoch: [31][4470/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.9459 (2.1355) Prec@1 48.125 (45.687) Prec@5 83.125 (76.222) Epoch: [31][4480/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 2.1061 (2.1355) Prec@1 45.625 (45.689) Prec@5 76.250 (76.224) Epoch: [31][4490/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0028 (2.1353) Prec@1 50.625 (45.694) Prec@5 76.875 (76.227) Epoch: [31][4500/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.2875 (2.1353) Prec@1 43.750 (45.695) Prec@5 75.000 (76.228) Epoch: [31][4510/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1532 (2.1354) Prec@1 45.000 (45.692) Prec@5 73.125 (76.222) Epoch: [31][4520/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0878 (2.1354) Prec@1 44.375 (45.693) Prec@5 75.625 (76.222) Epoch: [31][4530/11272] Time 0.872 (0.800) Data 0.003 (0.002) Loss 2.0753 (2.1353) Prec@1 46.250 (45.696) Prec@5 77.500 (76.223) Epoch: [31][4540/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1341 (2.1353) Prec@1 46.250 (45.695) Prec@5 75.625 (76.222) Epoch: [31][4550/11272] Time 0.761 (0.800) Data 0.001 (0.002) Loss 1.9516 (2.1352) Prec@1 45.000 (45.697) Prec@5 80.000 (76.223) Epoch: [31][4560/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1420 (2.1353) Prec@1 46.875 (45.694) Prec@5 77.500 (76.222) Epoch: [31][4570/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.1909 (2.1354) Prec@1 43.125 (45.688) Prec@5 73.750 (76.222) Epoch: [31][4580/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.1681 (2.1354) Prec@1 43.750 (45.689) Prec@5 75.000 (76.219) Epoch: [31][4590/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 1.9661 (2.1355) Prec@1 52.500 (45.688) Prec@5 80.000 (76.220) Epoch: [31][4600/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.3084 (2.1356) Prec@1 41.875 (45.686) Prec@5 71.875 (76.217) Epoch: [31][4610/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.2283 (2.1354) Prec@1 44.375 (45.688) Prec@5 75.000 (76.219) Epoch: [31][4620/11272] Time 0.731 (0.800) Data 0.003 (0.002) Loss 2.1546 (2.1354) Prec@1 45.625 (45.689) Prec@5 73.125 (76.217) Epoch: [31][4630/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.4819 (2.1355) Prec@1 38.750 (45.688) Prec@5 66.875 (76.215) Epoch: [31][4640/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.1488 (2.1353) Prec@1 45.625 (45.690) Prec@5 74.375 (76.218) Epoch: [31][4650/11272] Time 0.903 (0.800) Data 0.002 (0.002) Loss 2.2605 (2.1352) Prec@1 42.500 (45.693) Prec@5 71.250 (76.219) Epoch: [31][4660/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.2017 (2.1351) Prec@1 46.875 (45.696) Prec@5 74.375 (76.219) Epoch: [31][4670/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.0830 (2.1351) Prec@1 45.625 (45.695) Prec@5 75.625 (76.220) Epoch: [31][4680/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 1.9733 (2.1350) Prec@1 48.125 (45.696) Prec@5 80.000 (76.220) Epoch: [31][4690/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 1.8637 (2.1351) Prec@1 51.875 (45.694) Prec@5 83.125 (76.218) Epoch: [31][4700/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.1331 (2.1351) Prec@1 43.750 (45.693) Prec@5 76.250 (76.219) Epoch: [31][4710/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.1173 (2.1350) Prec@1 43.750 (45.695) Prec@5 80.000 (76.222) Epoch: [31][4720/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0059 (2.1351) Prec@1 46.875 (45.691) Prec@5 74.375 (76.219) Epoch: [31][4730/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 1.9435 (2.1351) Prec@1 50.000 (45.692) Prec@5 78.750 (76.218) Epoch: [31][4740/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0330 (2.1352) Prec@1 48.125 (45.686) Prec@5 79.375 (76.218) Epoch: [31][4750/11272] Time 0.885 (0.800) Data 0.001 (0.002) Loss 2.0383 (2.1351) Prec@1 44.375 (45.688) Prec@5 82.500 (76.223) Epoch: [31][4760/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 2.1829 (2.1350) Prec@1 48.750 (45.688) Prec@5 75.625 (76.228) Epoch: [31][4770/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1529 (2.1352) Prec@1 45.625 (45.685) Prec@5 73.125 (76.224) Epoch: [31][4780/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1124 (2.1351) Prec@1 45.625 (45.686) Prec@5 76.250 (76.223) Epoch: [31][4790/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 1.8162 (2.1352) Prec@1 51.875 (45.688) Prec@5 79.375 (76.220) Epoch: [31][4800/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.3403 (2.1352) Prec@1 41.250 (45.687) Prec@5 71.250 (76.220) Epoch: [31][4810/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.1063 (2.1350) Prec@1 48.125 (45.693) Prec@5 79.375 (76.226) Epoch: [31][4820/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.2528 (2.1349) Prec@1 41.875 (45.694) Prec@5 71.250 (76.229) Epoch: [31][4830/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.4249 (2.1351) Prec@1 38.125 (45.693) Prec@5 71.250 (76.225) Epoch: [31][4840/11272] Time 0.889 (0.800) Data 0.002 (0.002) Loss 2.0374 (2.1351) Prec@1 45.625 (45.692) Prec@5 79.375 (76.224) Epoch: [31][4850/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 1.8360 (2.1349) Prec@1 52.500 (45.696) Prec@5 83.125 (76.230) Epoch: [31][4860/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 1.9301 (2.1347) Prec@1 51.875 (45.700) Prec@5 79.375 (76.230) Epoch: [31][4870/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.1795 (2.1347) Prec@1 40.625 (45.696) Prec@5 72.500 (76.231) Epoch: [31][4880/11272] Time 0.738 (0.800) Data 0.003 (0.002) Loss 2.1212 (2.1348) Prec@1 48.750 (45.692) Prec@5 75.000 (76.231) Epoch: [31][4890/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.3024 (2.1349) Prec@1 38.750 (45.691) Prec@5 74.375 (76.233) Epoch: [31][4900/11272] Time 0.815 (0.800) Data 0.001 (0.002) Loss 1.9742 (2.1348) Prec@1 51.875 (45.690) Prec@5 81.875 (76.235) Epoch: [31][4910/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 1.9289 (2.1348) Prec@1 52.500 (45.691) Prec@5 76.875 (76.235) Epoch: [31][4920/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.3405 (2.1350) Prec@1 41.875 (45.687) Prec@5 74.375 (76.231) Epoch: [31][4930/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.1066 (2.1351) Prec@1 47.500 (45.684) Prec@5 75.000 (76.230) Epoch: [31][4940/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 2.0541 (2.1350) Prec@1 46.875 (45.686) Prec@5 79.375 (76.228) Epoch: [31][4950/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.1508 (2.1351) Prec@1 47.500 (45.683) Prec@5 78.750 (76.228) Epoch: [31][4960/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 2.0478 (2.1350) Prec@1 46.875 (45.684) Prec@5 76.250 (76.232) Epoch: [31][4970/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.5345 (2.1352) Prec@1 39.375 (45.681) Prec@5 71.250 (76.229) Epoch: [31][4980/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.2687 (2.1353) Prec@1 46.250 (45.676) Prec@5 68.125 (76.226) Epoch: [31][4990/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.9532 (2.1352) Prec@1 53.125 (45.679) Prec@5 81.250 (76.230) Epoch: [31][5000/11272] Time 0.808 (0.800) Data 0.002 (0.002) Loss 2.3891 (2.1351) Prec@1 42.500 (45.681) Prec@5 66.875 (76.232) Epoch: [31][5010/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1399 (2.1351) Prec@1 45.625 (45.677) Prec@5 76.250 (76.231) Epoch: [31][5020/11272] Time 0.911 (0.800) Data 0.002 (0.002) Loss 2.0343 (2.1351) Prec@1 49.375 (45.677) Prec@5 74.375 (76.230) Epoch: [31][5030/11272] Time 0.762 (0.800) Data 0.001 (0.002) Loss 2.2011 (2.1351) Prec@1 44.375 (45.679) Prec@5 78.750 (76.233) Epoch: [31][5040/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 1.9853 (2.1352) Prec@1 49.375 (45.679) Prec@5 81.250 (76.230) Epoch: [31][5050/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.2948 (2.1352) Prec@1 45.625 (45.678) Prec@5 73.125 (76.230) Epoch: [31][5060/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 1.8627 (2.1351) Prec@1 52.500 (45.681) Prec@5 82.500 (76.233) Epoch: [31][5070/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.1004 (2.1351) Prec@1 40.625 (45.679) Prec@5 78.125 (76.233) Epoch: [31][5080/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.5174 (2.1353) Prec@1 39.375 (45.675) Prec@5 72.500 (76.228) Epoch: [31][5090/11272] Time 0.878 (0.800) Data 0.002 (0.002) Loss 1.9212 (2.1353) Prec@1 47.500 (45.677) Prec@5 80.625 (76.228) Epoch: [31][5100/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.2450 (2.1351) Prec@1 42.500 (45.676) Prec@5 71.875 (76.230) Epoch: [31][5110/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 2.2805 (2.1352) Prec@1 44.375 (45.676) Prec@5 73.750 (76.228) Epoch: [31][5120/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1405 (2.1352) Prec@1 44.375 (45.675) Prec@5 80.625 (76.230) Epoch: [31][5130/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 1.9586 (2.1352) Prec@1 46.250 (45.673) Prec@5 78.125 (76.229) Epoch: [31][5140/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.3597 (2.1354) Prec@1 42.500 (45.671) Prec@5 72.500 (76.222) Epoch: [31][5150/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.3223 (2.1354) Prec@1 45.000 (45.672) Prec@5 72.500 (76.220) Epoch: [31][5160/11272] Time 0.893 (0.800) Data 0.002 (0.002) Loss 2.1294 (2.1353) Prec@1 48.125 (45.675) Prec@5 73.750 (76.221) Epoch: [31][5170/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.2366 (2.1354) Prec@1 50.000 (45.676) Prec@5 73.750 (76.220) Epoch: [31][5180/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 2.0478 (2.1354) Prec@1 45.625 (45.672) Prec@5 75.625 (76.219) Epoch: [31][5190/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.1759 (2.1354) Prec@1 48.125 (45.670) Prec@5 73.125 (76.220) Epoch: [31][5200/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 2.1509 (2.1353) Prec@1 45.625 (45.672) Prec@5 76.250 (76.221) Epoch: [31][5210/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0316 (2.1353) Prec@1 44.375 (45.672) Prec@5 78.125 (76.222) Epoch: [31][5220/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 2.3251 (2.1353) Prec@1 43.750 (45.673) Prec@5 75.000 (76.224) Epoch: [31][5230/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.1069 (2.1354) Prec@1 48.125 (45.671) Prec@5 77.500 (76.223) Epoch: [31][5240/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 2.3676 (2.1354) Prec@1 43.125 (45.672) Prec@5 73.750 (76.223) Epoch: [31][5250/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.1031 (2.1353) Prec@1 44.375 (45.674) Prec@5 73.750 (76.223) Epoch: [31][5260/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.2932 (2.1353) Prec@1 43.125 (45.678) Prec@5 70.000 (76.223) Epoch: [31][5270/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.7817 (2.1353) Prec@1 51.875 (45.680) Prec@5 83.750 (76.223) Epoch: [31][5280/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.1209 (2.1353) Prec@1 45.000 (45.681) Prec@5 76.875 (76.222) Epoch: [31][5290/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.1958 (2.1352) Prec@1 46.875 (45.684) Prec@5 72.500 (76.224) Epoch: [31][5300/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.1763 (2.1351) Prec@1 43.750 (45.688) Prec@5 76.875 (76.225) Epoch: [31][5310/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 2.2173 (2.1349) Prec@1 45.625 (45.691) Prec@5 74.375 (76.229) Epoch: [31][5320/11272] Time 0.825 (0.800) Data 0.002 (0.002) Loss 2.1262 (2.1349) Prec@1 46.875 (45.689) Prec@5 76.250 (76.230) Epoch: [31][5330/11272] Time 0.796 (0.800) Data 0.002 (0.002) Loss 2.1001 (2.1349) Prec@1 46.875 (45.689) Prec@5 76.875 (76.232) Epoch: [31][5340/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.9908 (2.1348) Prec@1 48.125 (45.687) Prec@5 83.125 (76.232) Epoch: [31][5350/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 1.9844 (2.1349) Prec@1 53.125 (45.688) Prec@5 78.125 (76.230) Epoch: [31][5360/11272] Time 0.828 (0.800) Data 0.002 (0.002) Loss 2.1256 (2.1348) Prec@1 48.125 (45.689) Prec@5 78.750 (76.233) Epoch: [31][5370/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.1003 (2.1348) Prec@1 46.250 (45.686) Prec@5 76.250 (76.233) Epoch: [31][5380/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.2895 (2.1349) Prec@1 44.375 (45.687) Prec@5 70.625 (76.231) Epoch: [31][5390/11272] Time 0.898 (0.800) Data 0.002 (0.002) Loss 1.8722 (2.1349) Prec@1 47.500 (45.685) Prec@5 81.250 (76.233) Epoch: [31][5400/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 1.8856 (2.1349) Prec@1 53.750 (45.687) Prec@5 77.500 (76.232) Epoch: [31][5410/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.1030 (2.1348) Prec@1 48.125 (45.690) Prec@5 75.625 (76.231) Epoch: [31][5420/11272] Time 0.894 (0.800) Data 0.002 (0.002) Loss 2.0705 (2.1348) Prec@1 46.250 (45.685) Prec@5 76.875 (76.232) Epoch: [31][5430/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.2523 (2.1349) Prec@1 36.875 (45.682) Prec@5 74.375 (76.232) Epoch: [31][5440/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 1.9970 (2.1347) Prec@1 48.750 (45.684) Prec@5 79.375 (76.232) Epoch: [31][5450/11272] Time 0.797 (0.800) Data 0.002 (0.002) Loss 2.2866 (2.1348) Prec@1 43.125 (45.680) Prec@5 71.250 (76.227) Epoch: [31][5460/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.2601 (2.1348) Prec@1 43.125 (45.677) Prec@5 70.625 (76.227) Epoch: [31][5470/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 2.1924 (2.1349) Prec@1 43.750 (45.676) Prec@5 74.375 (76.228) Epoch: [31][5480/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 1.9922 (2.1348) Prec@1 40.625 (45.677) Prec@5 78.750 (76.228) Epoch: [31][5490/11272] Time 0.717 (0.800) Data 0.001 (0.002) Loss 2.3142 (2.1348) Prec@1 37.500 (45.677) Prec@5 75.000 (76.227) Epoch: [31][5500/11272] Time 0.813 (0.800) Data 0.001 (0.002) Loss 2.0993 (2.1348) Prec@1 45.625 (45.676) Prec@5 78.125 (76.228) Epoch: [31][5510/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 2.1413 (2.1347) Prec@1 41.250 (45.679) Prec@5 78.125 (76.230) Epoch: [31][5520/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.1017 (2.1346) Prec@1 48.750 (45.683) Prec@5 74.375 (76.229) Epoch: [31][5530/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.3348 (2.1346) Prec@1 38.125 (45.683) Prec@5 73.125 (76.229) Epoch: [31][5540/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 2.1980 (2.1346) Prec@1 43.125 (45.686) Prec@5 76.875 (76.232) Epoch: [31][5550/11272] Time 0.743 (0.800) Data 0.003 (0.002) Loss 2.1713 (2.1345) Prec@1 43.750 (45.687) Prec@5 73.750 (76.233) Epoch: [31][5560/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0213 (2.1344) Prec@1 47.500 (45.687) Prec@5 77.500 (76.234) Epoch: [31][5570/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0743 (2.1344) Prec@1 40.000 (45.685) Prec@5 79.375 (76.234) Epoch: [31][5580/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 1.9750 (2.1343) Prec@1 48.125 (45.686) Prec@5 79.375 (76.234) Epoch: [31][5590/11272] Time 0.759 (0.800) Data 0.001 (0.002) Loss 2.0888 (2.1344) Prec@1 44.375 (45.684) Prec@5 73.750 (76.231) Epoch: [31][5600/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.3930 (2.1344) Prec@1 40.625 (45.685) Prec@5 71.250 (76.229) Epoch: [31][5610/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.1734 (2.1345) Prec@1 41.250 (45.681) Prec@5 73.125 (76.226) Epoch: [31][5620/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.3044 (2.1346) Prec@1 40.000 (45.679) Prec@5 71.250 (76.223) Epoch: [31][5630/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.0747 (2.1347) Prec@1 45.625 (45.678) Prec@5 76.250 (76.221) Epoch: [31][5640/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.0274 (2.1348) Prec@1 49.375 (45.677) Prec@5 75.625 (76.219) Epoch: [31][5650/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.2439 (2.1347) Prec@1 42.500 (45.678) Prec@5 73.125 (76.219) Epoch: [31][5660/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.0337 (2.1347) Prec@1 50.000 (45.678) Prec@5 73.125 (76.220) Epoch: [31][5670/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 1.9732 (2.1347) Prec@1 45.625 (45.679) Prec@5 78.750 (76.219) Epoch: [31][5680/11272] Time 0.857 (0.800) Data 0.001 (0.002) Loss 2.0550 (2.1346) Prec@1 45.000 (45.680) Prec@5 79.375 (76.221) Epoch: [31][5690/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.1336 (2.1346) Prec@1 46.875 (45.682) Prec@5 76.875 (76.220) Epoch: [31][5700/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0939 (2.1349) Prec@1 46.875 (45.680) Prec@5 77.500 (76.217) Epoch: [31][5710/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.3866 (2.1348) Prec@1 42.500 (45.683) Prec@5 70.000 (76.217) Epoch: [31][5720/11272] Time 0.893 (0.800) Data 0.001 (0.002) Loss 2.0402 (2.1348) Prec@1 46.250 (45.684) Prec@5 83.750 (76.217) Epoch: [31][5730/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.1504 (2.1349) Prec@1 51.250 (45.684) Prec@5 74.375 (76.215) Epoch: [31][5740/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.2180 (2.1350) Prec@1 44.375 (45.683) Prec@5 72.500 (76.212) Epoch: [31][5750/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 1.9836 (2.1350) Prec@1 52.500 (45.683) Prec@5 82.500 (76.212) Epoch: [31][5760/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.4423 (2.1351) Prec@1 41.875 (45.678) Prec@5 75.625 (76.212) Epoch: [31][5770/11272] Time 0.894 (0.800) Data 0.002 (0.002) Loss 1.9608 (2.1350) Prec@1 49.375 (45.680) Prec@5 78.125 (76.213) Epoch: [31][5780/11272] Time 0.761 (0.800) Data 0.001 (0.002) Loss 2.0661 (2.1350) Prec@1 48.125 (45.679) Prec@5 77.500 (76.212) Epoch: [31][5790/11272] Time 0.773 (0.800) Data 0.002 (0.002) Loss 2.0556 (2.1350) Prec@1 51.875 (45.681) Prec@5 78.125 (76.213) Epoch: [31][5800/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 1.9466 (2.1350) Prec@1 48.125 (45.681) Prec@5 78.125 (76.213) Epoch: [31][5810/11272] Time 0.725 (0.800) Data 0.003 (0.002) Loss 2.3718 (2.1350) Prec@1 36.875 (45.681) Prec@5 71.250 (76.213) Epoch: [31][5820/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.1381 (2.1351) Prec@1 46.250 (45.681) Prec@5 78.750 (76.212) Epoch: [31][5830/11272] Time 0.821 (0.800) Data 0.002 (0.002) Loss 2.3828 (2.1351) Prec@1 42.500 (45.681) Prec@5 73.125 (76.212) Epoch: [31][5840/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.1220 (2.1351) Prec@1 53.125 (45.682) Prec@5 74.375 (76.213) Epoch: [31][5850/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0836 (2.1351) Prec@1 41.250 (45.680) Prec@5 79.375 (76.212) Epoch: [31][5860/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.1332 (2.1352) Prec@1 43.125 (45.680) Prec@5 78.750 (76.211) Epoch: [31][5870/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.0288 (2.1351) Prec@1 44.375 (45.681) Prec@5 78.750 (76.211) Epoch: [31][5880/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 2.2246 (2.1350) Prec@1 41.875 (45.684) Prec@5 76.875 (76.212) Epoch: [31][5890/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.4037 (2.1351) Prec@1 40.000 (45.685) Prec@5 71.875 (76.210) Epoch: [31][5900/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.1302 (2.1351) Prec@1 47.500 (45.684) Prec@5 74.375 (76.208) Epoch: [31][5910/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.2665 (2.1353) Prec@1 43.750 (45.681) Prec@5 71.250 (76.203) Epoch: [31][5920/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.2718 (2.1355) Prec@1 46.250 (45.677) Prec@5 73.750 (76.202) Epoch: [31][5930/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0646 (2.1355) Prec@1 48.125 (45.679) Prec@5 80.000 (76.202) Epoch: [31][5940/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.2596 (2.1356) Prec@1 45.000 (45.678) Prec@5 75.625 (76.199) Epoch: [31][5950/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 2.2730 (2.1356) Prec@1 46.250 (45.679) Prec@5 73.750 (76.200) Epoch: [31][5960/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 2.2480 (2.1357) Prec@1 46.875 (45.678) Prec@5 75.000 (76.198) Epoch: [31][5970/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 2.1416 (2.1357) Prec@1 42.500 (45.676) Prec@5 75.625 (76.198) Epoch: [31][5980/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 1.8485 (2.1357) Prec@1 48.750 (45.677) Prec@5 83.125 (76.199) Epoch: [31][5990/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.3538 (2.1358) Prec@1 42.500 (45.675) Prec@5 71.875 (76.198) Epoch: [31][6000/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.0214 (2.1358) Prec@1 53.750 (45.676) Prec@5 76.875 (76.197) Epoch: [31][6010/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.0790 (2.1358) Prec@1 46.250 (45.674) Prec@5 74.375 (76.197) Epoch: [31][6020/11272] Time 0.871 (0.800) Data 0.001 (0.002) Loss 2.2321 (2.1358) Prec@1 38.750 (45.672) Prec@5 76.875 (76.198) Epoch: [31][6030/11272] Time 0.826 (0.800) Data 0.002 (0.002) Loss 2.2576 (2.1359) Prec@1 43.125 (45.671) Prec@5 75.000 (76.197) Epoch: [31][6040/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.2046 (2.1360) Prec@1 42.500 (45.669) Prec@5 71.250 (76.196) Epoch: [31][6050/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.0390 (2.1359) Prec@1 48.125 (45.670) Prec@5 80.625 (76.198) Epoch: [31][6060/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0769 (2.1357) Prec@1 43.750 (45.677) Prec@5 75.625 (76.201) Epoch: [31][6070/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.4880 (2.1356) Prec@1 39.375 (45.677) Prec@5 66.875 (76.204) Epoch: [31][6080/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1023 (2.1356) Prec@1 48.125 (45.679) Prec@5 73.750 (76.205) Epoch: [31][6090/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.2921 (2.1358) Prec@1 41.250 (45.676) Prec@5 72.500 (76.202) Epoch: [31][6100/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.1394 (2.1357) Prec@1 43.750 (45.675) Prec@5 77.500 (76.205) Epoch: [31][6110/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1919 (2.1356) Prec@1 45.625 (45.676) Prec@5 76.875 (76.210) Epoch: [31][6120/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.0814 (2.1354) Prec@1 46.250 (45.681) Prec@5 76.250 (76.212) Epoch: [31][6130/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.1431 (2.1355) Prec@1 37.500 (45.679) Prec@5 77.500 (76.214) Epoch: [31][6140/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.3112 (2.1354) Prec@1 40.625 (45.679) Prec@5 75.000 (76.212) Epoch: [31][6150/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 2.2490 (2.1355) Prec@1 43.750 (45.679) Prec@5 71.250 (76.209) Epoch: [31][6160/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.1371 (2.1356) Prec@1 47.500 (45.679) Prec@5 75.625 (76.207) Epoch: [31][6170/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.3091 (2.1354) Prec@1 36.875 (45.679) Prec@5 71.875 (76.211) Epoch: [31][6180/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.2170 (2.1354) Prec@1 42.500 (45.676) Prec@5 76.250 (76.210) Epoch: [31][6190/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.2257 (2.1355) Prec@1 45.000 (45.675) Prec@5 74.375 (76.210) Epoch: [31][6200/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0297 (2.1356) Prec@1 44.375 (45.672) Prec@5 77.500 (76.208) Epoch: [31][6210/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2170 (2.1355) Prec@1 41.875 (45.675) Prec@5 73.750 (76.210) Epoch: [31][6220/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.1978 (2.1355) Prec@1 45.625 (45.674) Prec@5 75.000 (76.211) Epoch: [31][6230/11272] Time 0.719 (0.800) Data 0.002 (0.002) Loss 2.1166 (2.1354) Prec@1 44.375 (45.676) Prec@5 77.500 (76.214) Epoch: [31][6240/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.0181 (2.1353) Prec@1 53.750 (45.678) Prec@5 75.625 (76.216) Epoch: [31][6250/11272] Time 0.828 (0.800) Data 0.002 (0.002) Loss 2.0817 (2.1353) Prec@1 46.875 (45.678) Prec@5 76.250 (76.214) Epoch: [31][6260/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1620 (2.1353) Prec@1 47.500 (45.678) Prec@5 76.250 (76.213) Epoch: [31][6270/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1035 (2.1355) Prec@1 50.000 (45.677) Prec@5 75.000 (76.212) Epoch: [31][6280/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.0056 (2.1353) Prec@1 48.125 (45.681) Prec@5 74.375 (76.213) Epoch: [31][6290/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 2.2417 (2.1353) Prec@1 46.875 (45.683) Prec@5 76.250 (76.215) Epoch: [31][6300/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1212 (2.1353) Prec@1 46.875 (45.683) Prec@5 75.625 (76.212) Epoch: [31][6310/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.8796 (2.1353) Prec@1 47.500 (45.683) Prec@5 81.875 (76.213) Epoch: [31][6320/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.0124 (2.1352) Prec@1 48.125 (45.686) Prec@5 81.250 (76.216) Epoch: [31][6330/11272] Time 0.906 (0.800) Data 0.002 (0.002) Loss 2.3466 (2.1352) Prec@1 45.625 (45.685) Prec@5 71.875 (76.214) Epoch: [31][6340/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 1.9990 (2.1352) Prec@1 45.000 (45.686) Prec@5 75.625 (76.214) Epoch: [31][6350/11272] Time 0.818 (0.800) Data 0.002 (0.002) Loss 2.2166 (2.1353) Prec@1 45.000 (45.683) Prec@5 75.625 (76.213) Epoch: [31][6360/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0660 (2.1354) Prec@1 46.875 (45.684) Prec@5 76.875 (76.213) Epoch: [31][6370/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.2223 (2.1354) Prec@1 42.500 (45.683) Prec@5 76.875 (76.214) Epoch: [31][6380/11272] Time 0.789 (0.800) Data 0.002 (0.002) Loss 2.0177 (2.1354) Prec@1 45.625 (45.681) Prec@5 76.875 (76.214) Epoch: [31][6390/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.1146 (2.1354) Prec@1 48.750 (45.681) Prec@5 80.000 (76.215) Epoch: [31][6400/11272] Time 0.867 (0.800) Data 0.001 (0.002) Loss 2.0969 (2.1354) Prec@1 42.500 (45.679) Prec@5 76.250 (76.214) Epoch: [31][6410/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.3421 (2.1354) Prec@1 40.000 (45.677) Prec@5 71.875 (76.214) Epoch: [31][6420/11272] Time 0.816 (0.800) Data 0.002 (0.002) Loss 2.2140 (2.1353) Prec@1 36.250 (45.678) Prec@5 74.375 (76.213) Epoch: [31][6430/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.1480 (2.1354) Prec@1 45.625 (45.678) Prec@5 76.250 (76.213) Epoch: [31][6440/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.0641 (2.1354) Prec@1 53.125 (45.677) Prec@5 71.875 (76.214) Epoch: [31][6450/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.4132 (2.1354) Prec@1 42.500 (45.676) Prec@5 71.250 (76.212) Epoch: [31][6460/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.3925 (2.1354) Prec@1 38.750 (45.675) Prec@5 73.125 (76.213) Epoch: [31][6470/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.1429 (2.1354) Prec@1 45.625 (45.676) Prec@5 77.500 (76.214) Epoch: [31][6480/11272] Time 0.750 (0.800) Data 0.003 (0.002) Loss 2.0070 (2.1352) Prec@1 47.500 (45.678) Prec@5 76.250 (76.215) Epoch: [31][6490/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.2208 (2.1353) Prec@1 41.875 (45.675) Prec@5 75.000 (76.215) Epoch: [31][6500/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 1.9791 (2.1353) Prec@1 50.625 (45.678) Prec@5 80.625 (76.216) Epoch: [31][6510/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2625 (2.1352) Prec@1 41.875 (45.678) Prec@5 73.750 (76.217) Epoch: [31][6520/11272] Time 0.773 (0.800) Data 0.002 (0.002) Loss 2.1684 (2.1351) Prec@1 46.250 (45.679) Prec@5 78.125 (76.219) Epoch: [31][6530/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.0234 (2.1351) Prec@1 48.750 (45.682) Prec@5 79.375 (76.220) Epoch: [31][6540/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2815 (2.1351) Prec@1 41.875 (45.681) Prec@5 75.000 (76.220) Epoch: [31][6550/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.3438 (2.1351) Prec@1 43.750 (45.679) Prec@5 68.750 (76.218) Epoch: [31][6560/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.5216 (2.1351) Prec@1 35.625 (45.678) Prec@5 71.875 (76.219) Epoch: [31][6570/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.9190 (2.1351) Prec@1 49.375 (45.680) Prec@5 84.375 (76.221) Epoch: [31][6580/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.2099 (2.1350) Prec@1 42.500 (45.680) Prec@5 76.250 (76.225) Epoch: [31][6590/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 2.5173 (2.1351) Prec@1 38.750 (45.678) Prec@5 71.875 (76.223) Epoch: [31][6600/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.2368 (2.1352) Prec@1 41.875 (45.677) Prec@5 75.000 (76.220) Epoch: [31][6610/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.0837 (2.1351) Prec@1 41.250 (45.678) Prec@5 76.875 (76.223) Epoch: [31][6620/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.1007 (2.1350) Prec@1 48.125 (45.678) Prec@5 74.375 (76.224) Epoch: [31][6630/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 1.9239 (2.1351) Prec@1 50.625 (45.677) Prec@5 81.250 (76.224) Epoch: [31][6640/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.3641 (2.1351) Prec@1 40.625 (45.677) Prec@5 73.750 (76.224) Epoch: [31][6650/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 1.9450 (2.1350) Prec@1 52.500 (45.677) Prec@5 76.250 (76.225) Epoch: [31][6660/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.3687 (2.1350) Prec@1 41.250 (45.678) Prec@5 72.500 (76.225) Epoch: [31][6670/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.2390 (2.1350) Prec@1 44.375 (45.678) Prec@5 74.375 (76.225) Epoch: [31][6680/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.2266 (2.1350) Prec@1 45.625 (45.678) Prec@5 77.500 (76.227) Epoch: [31][6690/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 1.8459 (2.1348) Prec@1 51.875 (45.679) Prec@5 81.250 (76.229) Epoch: [31][6700/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 2.2246 (2.1348) Prec@1 42.500 (45.682) Prec@5 75.625 (76.230) Epoch: [31][6710/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.1602 (2.1347) Prec@1 46.250 (45.682) Prec@5 76.250 (76.233) Epoch: [31][6720/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.1974 (2.1346) Prec@1 44.375 (45.685) Prec@5 71.875 (76.235) Epoch: [31][6730/11272] Time 0.895 (0.800) Data 0.003 (0.002) Loss 1.8390 (2.1345) Prec@1 53.750 (45.686) Prec@5 76.875 (76.236) Epoch: [31][6740/11272] Time 0.731 (0.800) Data 0.003 (0.002) Loss 2.2019 (2.1344) Prec@1 45.000 (45.688) Prec@5 76.875 (76.238) Epoch: [31][6750/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.0620 (2.1344) Prec@1 45.625 (45.687) Prec@5 78.125 (76.238) Epoch: [31][6760/11272] Time 0.821 (0.800) Data 0.002 (0.002) Loss 2.1655 (2.1344) Prec@1 47.500 (45.686) Prec@5 76.250 (76.237) Epoch: [31][6770/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.0547 (2.1344) Prec@1 46.250 (45.684) Prec@5 70.625 (76.235) Epoch: [31][6780/11272] Time 0.771 (0.800) Data 0.002 (0.002) Loss 1.7721 (2.1344) Prec@1 55.000 (45.686) Prec@5 81.875 (76.235) Epoch: [31][6790/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.0942 (2.1345) Prec@1 46.250 (45.684) Prec@5 76.250 (76.234) Epoch: [31][6800/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.3926 (2.1346) Prec@1 40.625 (45.685) Prec@5 68.125 (76.230) Epoch: [31][6810/11272] Time 0.821 (0.800) Data 0.001 (0.002) Loss 2.1520 (2.1345) Prec@1 42.500 (45.686) Prec@5 75.000 (76.232) Epoch: [31][6820/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1732 (2.1345) Prec@1 46.250 (45.687) Prec@5 74.375 (76.232) Epoch: [31][6830/11272] Time 0.786 (0.800) Data 0.002 (0.002) Loss 1.8451 (2.1345) Prec@1 51.875 (45.686) Prec@5 80.625 (76.232) Epoch: [31][6840/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 1.9675 (2.1344) Prec@1 46.875 (45.687) Prec@5 81.875 (76.233) Epoch: [31][6850/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.0504 (2.1344) Prec@1 49.375 (45.686) Prec@5 76.875 (76.233) Epoch: [31][6860/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 1.9634 (2.1345) Prec@1 45.625 (45.685) Prec@5 80.625 (76.231) Epoch: [31][6870/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.0564 (2.1346) Prec@1 41.875 (45.684) Prec@5 76.250 (76.230) Epoch: [31][6880/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.2474 (2.1347) Prec@1 46.250 (45.681) Prec@5 75.000 (76.230) Epoch: [31][6890/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 2.2041 (2.1347) Prec@1 45.625 (45.683) Prec@5 78.125 (76.229) Epoch: [31][6900/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.1915 (2.1347) Prec@1 42.500 (45.684) Prec@5 76.875 (76.230) Epoch: [31][6910/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 1.9843 (2.1347) Prec@1 49.375 (45.683) Prec@5 80.625 (76.229) Epoch: [31][6920/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.1012 (2.1347) Prec@1 49.375 (45.684) Prec@5 78.750 (76.230) Epoch: [31][6930/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 1.8885 (2.1347) Prec@1 48.125 (45.683) Prec@5 78.750 (76.229) Epoch: [31][6940/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0220 (2.1346) Prec@1 48.125 (45.684) Prec@5 77.500 (76.229) Epoch: [31][6950/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.2649 (2.1346) Prec@1 41.875 (45.685) Prec@5 78.125 (76.231) Epoch: [31][6960/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.1217 (2.1347) Prec@1 46.250 (45.684) Prec@5 75.000 (76.229) Epoch: [31][6970/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 2.3053 (2.1347) Prec@1 43.750 (45.685) Prec@5 75.625 (76.228) Epoch: [31][6980/11272] Time 0.771 (0.800) Data 0.002 (0.002) Loss 2.1472 (2.1348) Prec@1 43.750 (45.683) Prec@5 73.125 (76.226) Epoch: [31][6990/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.0881 (2.1346) Prec@1 45.000 (45.687) Prec@5 78.750 (76.229) Epoch: [31][7000/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.1553 (2.1348) Prec@1 46.875 (45.686) Prec@5 74.375 (76.227) Epoch: [31][7010/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 1.9787 (2.1347) Prec@1 46.250 (45.686) Prec@5 81.250 (76.230) Epoch: [31][7020/11272] Time 0.868 (0.800) Data 0.001 (0.002) Loss 2.2275 (2.1346) Prec@1 43.125 (45.687) Prec@5 75.625 (76.232) Epoch: [31][7030/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.2483 (2.1346) Prec@1 40.625 (45.688) Prec@5 76.250 (76.232) Epoch: [31][7040/11272] Time 0.781 (0.800) Data 0.002 (0.002) Loss 2.2008 (2.1347) Prec@1 41.250 (45.686) Prec@5 75.000 (76.232) Epoch: [31][7050/11272] Time 0.750 (0.800) Data 0.001 (0.002) Loss 2.0633 (2.1345) Prec@1 51.875 (45.689) Prec@5 79.375 (76.235) Epoch: [31][7060/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 1.9154 (2.1344) Prec@1 51.250 (45.689) Prec@5 80.625 (76.235) Epoch: [31][7070/11272] Time 0.817 (0.800) Data 0.001 (0.002) Loss 1.9388 (2.1345) Prec@1 45.625 (45.688) Prec@5 79.375 (76.235) Epoch: [31][7080/11272] Time 0.750 (0.800) Data 0.001 (0.002) Loss 2.3596 (2.1346) Prec@1 41.875 (45.688) Prec@5 73.125 (76.233) Epoch: [31][7090/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.8933 (2.1346) Prec@1 50.000 (45.688) Prec@5 84.375 (76.233) Epoch: [31][7100/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0686 (2.1346) Prec@1 50.000 (45.687) Prec@5 72.500 (76.231) Epoch: [31][7110/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.3494 (2.1346) Prec@1 37.500 (45.686) Prec@5 73.750 (76.231) Epoch: [31][7120/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.3389 (2.1347) Prec@1 44.375 (45.684) Prec@5 74.375 (76.228) Epoch: [31][7130/11272] Time 0.759 (0.800) Data 0.002 (0.002) Loss 2.1297 (2.1346) Prec@1 45.625 (45.686) Prec@5 77.500 (76.229) Epoch: [31][7140/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.1146 (2.1346) Prec@1 48.125 (45.686) Prec@5 79.375 (76.230) Epoch: [31][7150/11272] Time 0.768 (0.800) Data 0.001 (0.002) Loss 2.2035 (2.1346) Prec@1 45.000 (45.685) Prec@5 76.875 (76.231) Epoch: [31][7160/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 1.9150 (2.1347) Prec@1 50.625 (45.683) Prec@5 82.500 (76.231) Epoch: [31][7170/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.2295 (2.1347) Prec@1 40.000 (45.682) Prec@5 72.500 (76.231) Epoch: [31][7180/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.2517 (2.1347) Prec@1 40.625 (45.678) Prec@5 73.750 (76.233) Epoch: [31][7190/11272] Time 0.773 (0.800) Data 0.002 (0.002) Loss 2.3358 (2.1347) Prec@1 35.625 (45.678) Prec@5 74.375 (76.232) Epoch: [31][7200/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.9798 (2.1345) Prec@1 41.875 (45.680) Prec@5 80.000 (76.235) Epoch: [31][7210/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.1546 (2.1345) Prec@1 45.625 (45.681) Prec@5 78.125 (76.237) Epoch: [31][7220/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 1.8639 (2.1345) Prec@1 51.875 (45.679) Prec@5 85.000 (76.235) Epoch: [31][7230/11272] Time 0.773 (0.800) Data 0.001 (0.002) Loss 2.0211 (2.1345) Prec@1 48.750 (45.681) Prec@5 79.375 (76.237) Epoch: [31][7240/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.0955 (2.1344) Prec@1 44.375 (45.684) Prec@5 75.625 (76.238) Epoch: [31][7250/11272] Time 0.900 (0.800) Data 0.002 (0.002) Loss 1.8322 (2.1343) Prec@1 51.875 (45.684) Prec@5 79.375 (76.240) Epoch: [31][7260/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.8308 (2.1343) Prec@1 50.000 (45.684) Prec@5 80.625 (76.242) Epoch: [31][7270/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.2457 (2.1343) Prec@1 43.750 (45.684) Prec@5 73.750 (76.243) Epoch: [31][7280/11272] Time 0.828 (0.800) Data 0.002 (0.002) Loss 2.1649 (2.1342) Prec@1 39.375 (45.684) Prec@5 74.375 (76.243) Epoch: [31][7290/11272] Time 0.865 (0.800) Data 0.001 (0.002) Loss 2.3115 (2.1342) Prec@1 44.375 (45.682) Prec@5 71.875 (76.240) Epoch: [31][7300/11272] Time 0.769 (0.800) Data 0.001 (0.002) Loss 2.1140 (2.1343) Prec@1 45.625 (45.681) Prec@5 75.625 (76.240) Epoch: [31][7310/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.2407 (2.1343) Prec@1 43.750 (45.682) Prec@5 76.875 (76.238) Epoch: [31][7320/11272] Time 0.864 (0.800) Data 0.001 (0.002) Loss 2.4006 (2.1343) Prec@1 40.625 (45.681) Prec@5 69.375 (76.239) Epoch: [31][7330/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 2.2383 (2.1342) Prec@1 42.500 (45.683) Prec@5 74.375 (76.240) Epoch: [31][7340/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.3392 (2.1342) Prec@1 36.250 (45.682) Prec@5 73.750 (76.239) Epoch: [31][7350/11272] Time 0.754 (0.800) Data 0.003 (0.002) Loss 2.2513 (2.1342) Prec@1 41.875 (45.680) Prec@5 76.875 (76.240) Epoch: [31][7360/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 1.9713 (2.1342) Prec@1 48.750 (45.680) Prec@5 77.500 (76.241) Epoch: [31][7370/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.3824 (2.1342) Prec@1 43.750 (45.681) Prec@5 74.375 (76.242) Epoch: [31][7380/11272] Time 0.748 (0.800) Data 0.001 (0.002) Loss 2.6099 (2.1341) Prec@1 30.000 (45.679) Prec@5 70.000 (76.243) Epoch: [31][7390/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 2.3647 (2.1343) Prec@1 40.625 (45.674) Prec@5 78.750 (76.242) Epoch: [31][7400/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.3266 (2.1343) Prec@1 42.500 (45.673) Prec@5 71.875 (76.241) Epoch: [31][7410/11272] Time 0.722 (0.800) Data 0.003 (0.002) Loss 2.0226 (2.1343) Prec@1 43.125 (45.672) Prec@5 78.750 (76.241) Epoch: [31][7420/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.2511 (2.1343) Prec@1 40.625 (45.672) Prec@5 72.500 (76.242) Epoch: [31][7430/11272] Time 0.830 (0.800) Data 0.002 (0.002) Loss 2.1446 (2.1343) Prec@1 47.500 (45.670) Prec@5 76.250 (76.241) Epoch: [31][7440/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 2.1188 (2.1343) Prec@1 49.375 (45.670) Prec@5 73.125 (76.240) Epoch: [31][7450/11272] Time 0.761 (0.800) Data 0.001 (0.002) Loss 2.1622 (2.1343) Prec@1 46.250 (45.671) Prec@5 77.500 (76.241) Epoch: [31][7460/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.1699 (2.1343) Prec@1 39.375 (45.671) Prec@5 74.375 (76.239) Epoch: [31][7470/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 2.1226 (2.1343) Prec@1 47.500 (45.673) Prec@5 75.625 (76.240) Epoch: [31][7480/11272] Time 0.929 (0.800) Data 0.002 (0.002) Loss 2.4143 (2.1344) Prec@1 38.750 (45.671) Prec@5 73.750 (76.239) Epoch: [31][7490/11272] Time 0.790 (0.800) Data 0.002 (0.002) Loss 2.1478 (2.1343) Prec@1 37.500 (45.670) Prec@5 76.250 (76.242) Epoch: [31][7500/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.2247 (2.1343) Prec@1 43.125 (45.671) Prec@5 73.750 (76.241) Epoch: [31][7510/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.1850 (2.1343) Prec@1 44.375 (45.669) Prec@5 77.500 (76.241) Epoch: [31][7520/11272] Time 0.812 (0.800) Data 0.001 (0.002) Loss 2.1443 (2.1344) Prec@1 41.250 (45.670) Prec@5 73.125 (76.240) Epoch: [31][7530/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.1749 (2.1344) Prec@1 43.750 (45.672) Prec@5 80.000 (76.243) Epoch: [31][7540/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.1927 (2.1343) Prec@1 39.375 (45.673) Prec@5 73.125 (76.241) Epoch: [31][7550/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.0744 (2.1343) Prec@1 46.875 (45.672) Prec@5 78.750 (76.243) Epoch: [31][7560/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.1698 (2.1344) Prec@1 45.625 (45.670) Prec@5 74.375 (76.240) Epoch: [31][7570/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.0340 (2.1344) Prec@1 44.375 (45.670) Prec@5 80.625 (76.240) Epoch: [31][7580/11272] Time 0.865 (0.800) Data 0.002 (0.002) Loss 2.1122 (2.1344) Prec@1 45.625 (45.671) Prec@5 75.000 (76.240) Epoch: [31][7590/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 2.1331 (2.1344) Prec@1 50.000 (45.670) Prec@5 74.375 (76.240) Epoch: [31][7600/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0820 (2.1344) Prec@1 46.875 (45.668) Prec@5 78.750 (76.241) Epoch: [31][7610/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.2381 (2.1344) Prec@1 47.500 (45.668) Prec@5 76.250 (76.240) Epoch: [31][7620/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 1.8818 (2.1344) Prec@1 51.250 (45.671) Prec@5 81.250 (76.241) Epoch: [31][7630/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 1.9102 (2.1343) Prec@1 50.625 (45.674) Prec@5 81.250 (76.241) Epoch: [31][7640/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.0968 (2.1343) Prec@1 46.250 (45.675) Prec@5 75.625 (76.244) Epoch: [31][7650/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.0963 (2.1343) Prec@1 46.250 (45.675) Prec@5 75.000 (76.242) Epoch: [31][7660/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.3252 (2.1343) Prec@1 36.250 (45.675) Prec@5 71.250 (76.242) Epoch: [31][7670/11272] Time 0.734 (0.800) Data 0.003 (0.002) Loss 2.0746 (2.1343) Prec@1 40.625 (45.675) Prec@5 78.125 (76.242) Epoch: [31][7680/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0657 (2.1343) Prec@1 43.750 (45.674) Prec@5 75.625 (76.241) Epoch: [31][7690/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.7159 (2.1343) Prec@1 53.125 (45.676) Prec@5 83.750 (76.242) Epoch: [31][7700/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.9799 (2.1343) Prec@1 43.750 (45.675) Prec@5 76.875 (76.242) Epoch: [31][7710/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.9921 (2.1343) Prec@1 46.875 (45.674) Prec@5 76.875 (76.241) Epoch: [31][7720/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.1453 (2.1342) Prec@1 46.250 (45.677) Prec@5 78.125 (76.244) Epoch: [31][7730/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.1178 (2.1341) Prec@1 45.625 (45.679) Prec@5 76.250 (76.245) Epoch: [31][7740/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 1.9335 (2.1340) Prec@1 54.375 (45.680) Prec@5 79.375 (76.247) Epoch: [31][7750/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.2878 (2.1340) Prec@1 41.875 (45.680) Prec@5 76.250 (76.249) Epoch: [31][7760/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.2576 (2.1340) Prec@1 46.875 (45.679) Prec@5 72.500 (76.249) Epoch: [31][7770/11272] Time 0.861 (0.800) Data 0.002 (0.002) Loss 2.2259 (2.1341) Prec@1 48.125 (45.679) Prec@5 75.000 (76.248) Epoch: [31][7780/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 1.8651 (2.1340) Prec@1 51.875 (45.681) Prec@5 80.625 (76.247) Epoch: [31][7790/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.3072 (2.1341) Prec@1 44.375 (45.682) Prec@5 73.125 (76.246) Epoch: [31][7800/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.0979 (2.1340) Prec@1 47.500 (45.684) Prec@5 78.125 (76.249) Epoch: [31][7810/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 1.9487 (2.1340) Prec@1 51.875 (45.683) Prec@5 80.000 (76.248) Epoch: [31][7820/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0357 (2.1340) Prec@1 45.625 (45.683) Prec@5 75.000 (76.248) Epoch: [31][7830/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.3982 (2.1341) Prec@1 40.625 (45.681) Prec@5 72.500 (76.246) Epoch: [31][7840/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.0712 (2.1342) Prec@1 47.500 (45.682) Prec@5 78.125 (76.246) Epoch: [31][7850/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.0341 (2.1343) Prec@1 46.875 (45.679) Prec@5 76.875 (76.244) Epoch: [31][7860/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.9383 (2.1343) Prec@1 46.875 (45.678) Prec@5 80.625 (76.244) Epoch: [31][7870/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 2.3274 (2.1343) Prec@1 41.875 (45.676) Prec@5 69.375 (76.244) Epoch: [31][7880/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.0022 (2.1343) Prec@1 48.125 (45.677) Prec@5 78.125 (76.245) Epoch: [31][7890/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.0669 (2.1343) Prec@1 45.625 (45.675) Prec@5 78.750 (76.245) Epoch: [31][7900/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.2969 (2.1343) Prec@1 40.625 (45.675) Prec@5 72.500 (76.243) Epoch: [31][7910/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.2450 (2.1344) Prec@1 44.375 (45.674) Prec@5 76.250 (76.241) Epoch: [31][7920/11272] Time 0.793 (0.800) Data 0.001 (0.002) Loss 2.4998 (2.1344) Prec@1 43.125 (45.674) Prec@5 71.250 (76.240) Epoch: [31][7930/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 1.9673 (2.1344) Prec@1 46.875 (45.677) Prec@5 78.125 (76.241) Epoch: [31][7940/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.1461 (2.1343) Prec@1 45.625 (45.677) Prec@5 72.500 (76.242) Epoch: [31][7950/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.0795 (2.1343) Prec@1 48.125 (45.676) Prec@5 75.625 (76.241) Epoch: [31][7960/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 2.4230 (2.1344) Prec@1 40.625 (45.678) Prec@5 68.750 (76.240) Epoch: [31][7970/11272] Time 0.796 (0.800) Data 0.002 (0.002) Loss 1.8548 (2.1343) Prec@1 48.750 (45.679) Prec@5 81.250 (76.238) Epoch: [31][7980/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.1706 (2.1344) Prec@1 43.125 (45.678) Prec@5 73.125 (76.236) Epoch: [31][7990/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.0974 (2.1345) Prec@1 48.750 (45.677) Prec@5 75.000 (76.233) Epoch: [31][8000/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1594 (2.1345) Prec@1 46.875 (45.678) Prec@5 73.125 (76.234) Epoch: [31][8010/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.9911 (2.1345) Prec@1 43.750 (45.678) Prec@5 77.500 (76.233) Epoch: [31][8020/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0610 (2.1347) Prec@1 43.125 (45.673) Prec@5 78.750 (76.232) Epoch: [31][8030/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1936 (2.1347) Prec@1 50.000 (45.674) Prec@5 73.125 (76.231) Epoch: [31][8040/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.2245 (2.1347) Prec@1 48.750 (45.675) Prec@5 70.000 (76.229) Epoch: [31][8050/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.8681 (2.1345) Prec@1 54.375 (45.678) Prec@5 82.500 (76.231) Epoch: [31][8060/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0916 (2.1345) Prec@1 49.375 (45.678) Prec@5 74.375 (76.232) Epoch: [31][8070/11272] Time 0.898 (0.800) Data 0.002 (0.002) Loss 2.0050 (2.1345) Prec@1 43.750 (45.677) Prec@5 80.625 (76.233) Epoch: [31][8080/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 2.1662 (2.1345) Prec@1 44.375 (45.679) Prec@5 76.250 (76.234) Epoch: [31][8090/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.0318 (2.1346) Prec@1 47.500 (45.675) Prec@5 77.500 (76.230) Epoch: [31][8100/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.2225 (2.1347) Prec@1 43.750 (45.676) Prec@5 75.625 (76.231) Epoch: [31][8110/11272] Time 0.940 (0.800) Data 0.001 (0.002) Loss 2.5732 (2.1348) Prec@1 37.500 (45.674) Prec@5 66.875 (76.228) Epoch: [31][8120/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0305 (2.1349) Prec@1 48.750 (45.672) Prec@5 80.625 (76.226) Epoch: [31][8130/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1108 (2.1349) Prec@1 42.500 (45.672) Prec@5 75.000 (76.225) Epoch: [31][8140/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.1658 (2.1350) Prec@1 49.375 (45.671) Prec@5 78.750 (76.226) Epoch: [31][8150/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.3007 (2.1349) Prec@1 45.625 (45.674) Prec@5 75.000 (76.229) Epoch: [31][8160/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.1789 (2.1349) Prec@1 47.500 (45.677) Prec@5 71.250 (76.228) Epoch: [31][8170/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 2.2113 (2.1350) Prec@1 43.750 (45.673) Prec@5 73.750 (76.226) Epoch: [31][8180/11272] Time 0.895 (0.800) Data 0.002 (0.002) Loss 1.9770 (2.1349) Prec@1 46.875 (45.673) Prec@5 82.500 (76.227) Epoch: [31][8190/11272] Time 0.891 (0.800) Data 0.001 (0.002) Loss 1.8241 (2.1350) Prec@1 48.125 (45.674) Prec@5 79.375 (76.226) Epoch: [31][8200/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 1.8410 (2.1349) Prec@1 51.875 (45.675) Prec@5 82.500 (76.228) Epoch: [31][8210/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.1175 (2.1349) Prec@1 47.500 (45.675) Prec@5 75.625 (76.227) Epoch: [31][8220/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.2784 (2.1349) Prec@1 41.250 (45.677) Prec@5 71.875 (76.229) Epoch: [31][8230/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 1.9496 (2.1348) Prec@1 48.125 (45.678) Prec@5 81.250 (76.228) Epoch: [31][8240/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.1793 (2.1348) Prec@1 47.500 (45.680) Prec@5 71.875 (76.228) Epoch: [31][8250/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.0377 (2.1347) Prec@1 46.875 (45.681) Prec@5 79.375 (76.230) Epoch: [31][8260/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.0529 (2.1346) Prec@1 50.000 (45.684) Prec@5 79.375 (76.232) Epoch: [31][8270/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.8459 (2.1347) Prec@1 46.250 (45.681) Prec@5 81.875 (76.230) Epoch: [31][8280/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.9834 (2.1347) Prec@1 51.875 (45.682) Prec@5 77.500 (76.230) Epoch: [31][8290/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.9568 (2.1347) Prec@1 49.375 (45.683) Prec@5 78.750 (76.230) Epoch: [31][8300/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 2.2341 (2.1347) Prec@1 46.250 (45.685) Prec@5 72.500 (76.228) Epoch: [31][8310/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0792 (2.1346) Prec@1 45.000 (45.685) Prec@5 76.250 (76.229) Epoch: [31][8320/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.2861 (2.1347) Prec@1 41.875 (45.684) Prec@5 74.375 (76.227) Epoch: [31][8330/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.1114 (2.1347) Prec@1 45.625 (45.684) Prec@5 76.250 (76.226) Epoch: [31][8340/11272] Time 0.746 (0.800) Data 0.003 (0.002) Loss 1.9136 (2.1346) Prec@1 50.000 (45.684) Prec@5 82.500 (76.227) Epoch: [31][8350/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 1.9267 (2.1347) Prec@1 50.000 (45.684) Prec@5 85.625 (76.228) Epoch: [31][8360/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1906 (2.1346) Prec@1 45.625 (45.685) Prec@5 73.750 (76.230) Epoch: [31][8370/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 2.4551 (2.1346) Prec@1 37.500 (45.683) Prec@5 71.875 (76.229) Epoch: [31][8380/11272] Time 0.770 (0.800) Data 0.002 (0.002) Loss 2.0354 (2.1346) Prec@1 47.500 (45.684) Prec@5 77.500 (76.230) Epoch: [31][8390/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.1183 (2.1346) Prec@1 46.250 (45.685) Prec@5 74.375 (76.230) Epoch: [31][8400/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.2474 (2.1346) Prec@1 41.875 (45.681) Prec@5 75.000 (76.229) Epoch: [31][8410/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 2.4006 (2.1347) Prec@1 40.000 (45.680) Prec@5 73.750 (76.227) Epoch: [31][8420/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.2707 (2.1347) Prec@1 48.750 (45.682) Prec@5 73.125 (76.226) Epoch: [31][8430/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.3383 (2.1348) Prec@1 45.625 (45.681) Prec@5 72.500 (76.225) Epoch: [31][8440/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.0650 (2.1349) Prec@1 47.500 (45.680) Prec@5 71.875 (76.224) Epoch: [31][8450/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.0115 (2.1349) Prec@1 50.625 (45.679) Prec@5 78.125 (76.220) Epoch: [31][8460/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.1564 (2.1349) Prec@1 45.000 (45.680) Prec@5 76.250 (76.222) Epoch: [31][8470/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.1295 (2.1349) Prec@1 46.875 (45.680) Prec@5 78.750 (76.223) Epoch: [31][8480/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 1.9439 (2.1349) Prec@1 51.875 (45.681) Prec@5 83.750 (76.223) Epoch: [31][8490/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1603 (2.1349) Prec@1 46.250 (45.681) Prec@5 76.250 (76.225) Epoch: [31][8500/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.3253 (2.1349) Prec@1 40.625 (45.680) Prec@5 73.125 (76.225) Epoch: [31][8510/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.0369 (2.1349) Prec@1 45.625 (45.681) Prec@5 73.750 (76.225) Epoch: [31][8520/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.1137 (2.1348) Prec@1 45.625 (45.682) Prec@5 76.875 (76.225) Epoch: [31][8530/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.0494 (2.1348) Prec@1 46.875 (45.684) Prec@5 81.250 (76.227) Epoch: [31][8540/11272] Time 0.757 (0.800) Data 0.001 (0.002) Loss 2.1961 (2.1348) Prec@1 41.250 (45.681) Prec@5 73.750 (76.226) Epoch: [31][8550/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.0962 (2.1349) Prec@1 46.875 (45.679) Prec@5 74.375 (76.225) Epoch: [31][8560/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.2818 (2.1348) Prec@1 45.000 (45.682) Prec@5 75.625 (76.227) Epoch: [31][8570/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.0625 (2.1347) Prec@1 41.875 (45.684) Prec@5 75.625 (76.226) Epoch: [31][8580/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.1749 (2.1347) Prec@1 41.875 (45.687) Prec@5 77.500 (76.227) Epoch: [31][8590/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 2.2760 (2.1347) Prec@1 40.000 (45.686) Prec@5 74.375 (76.227) Epoch: [31][8600/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1494 (2.1347) Prec@1 43.750 (45.687) Prec@5 76.875 (76.227) Epoch: [31][8610/11272] Time 0.794 (0.800) Data 0.002 (0.002) Loss 2.2112 (2.1348) Prec@1 44.375 (45.685) Prec@5 75.625 (76.227) Epoch: [31][8620/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.3346 (2.1349) Prec@1 40.000 (45.683) Prec@5 73.125 (76.225) Epoch: [31][8630/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1885 (2.1348) Prec@1 43.750 (45.684) Prec@5 72.500 (76.225) Epoch: [31][8640/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.0769 (2.1348) Prec@1 48.125 (45.685) Prec@5 78.125 (76.226) Epoch: [31][8650/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 2.1368 (2.1348) Prec@1 45.625 (45.684) Prec@5 74.375 (76.226) Epoch: [31][8660/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1202 (2.1348) Prec@1 45.625 (45.685) Prec@5 75.000 (76.226) Epoch: [31][8670/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.1274 (2.1348) Prec@1 48.750 (45.686) Prec@5 76.875 (76.227) Epoch: [31][8680/11272] Time 0.794 (0.800) Data 0.002 (0.002) Loss 2.0202 (2.1347) Prec@1 46.250 (45.687) Prec@5 83.750 (76.228) Epoch: [31][8690/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0052 (2.1347) Prec@1 52.500 (45.689) Prec@5 80.000 (76.228) Epoch: [31][8700/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.0446 (2.1348) Prec@1 43.750 (45.688) Prec@5 78.750 (76.226) Epoch: [31][8710/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 1.8020 (2.1347) Prec@1 56.250 (45.689) Prec@5 79.375 (76.226) Epoch: [31][8720/11272] Time 0.755 (0.800) Data 0.001 (0.002) Loss 2.3960 (2.1347) Prec@1 40.625 (45.688) Prec@5 71.875 (76.228) Epoch: [31][8730/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.0648 (2.1346) Prec@1 45.000 (45.688) Prec@5 77.500 (76.229) Epoch: [31][8740/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.2157 (2.1345) Prec@1 44.375 (45.691) Prec@5 80.000 (76.232) Epoch: [31][8750/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.1600 (2.1344) Prec@1 41.250 (45.693) Prec@5 76.875 (76.234) Epoch: [31][8760/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0387 (2.1344) Prec@1 48.750 (45.693) Prec@5 79.375 (76.234) Epoch: [31][8770/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.0178 (2.1344) Prec@1 46.875 (45.692) Prec@5 78.750 (76.237) Epoch: [31][8780/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0243 (2.1344) Prec@1 44.375 (45.691) Prec@5 78.750 (76.238) Epoch: [31][8790/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.1676 (2.1344) Prec@1 42.500 (45.690) Prec@5 74.375 (76.237) Epoch: [31][8800/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.2526 (2.1344) Prec@1 41.250 (45.692) Prec@5 68.750 (76.238) Epoch: [31][8810/11272] Time 0.867 (0.800) Data 0.001 (0.002) Loss 2.1142 (2.1343) Prec@1 51.250 (45.694) Prec@5 78.125 (76.240) Epoch: [31][8820/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 1.9916 (2.1342) Prec@1 49.375 (45.695) Prec@5 81.875 (76.240) Epoch: [31][8830/11272] Time 0.766 (0.800) Data 0.002 (0.002) Loss 2.1828 (2.1343) Prec@1 45.625 (45.695) Prec@5 80.000 (76.240) Epoch: [31][8840/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1463 (2.1343) Prec@1 46.250 (45.695) Prec@5 75.000 (76.240) Epoch: [31][8850/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.1334 (2.1342) Prec@1 46.875 (45.695) Prec@5 74.375 (76.239) Epoch: [31][8860/11272] Time 0.868 (0.800) Data 0.003 (0.002) Loss 2.1687 (2.1342) Prec@1 43.125 (45.696) Prec@5 73.125 (76.241) Epoch: [31][8870/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.1732 (2.1342) Prec@1 46.250 (45.698) Prec@5 77.500 (76.241) Epoch: [31][8880/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 1.7921 (2.1341) Prec@1 53.750 (45.700) Prec@5 83.125 (76.241) Epoch: [31][8890/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.0845 (2.1340) Prec@1 51.250 (45.703) Prec@5 76.250 (76.243) Epoch: [31][8900/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0633 (2.1340) Prec@1 48.125 (45.704) Prec@5 73.750 (76.244) Epoch: [31][8910/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.4285 (2.1339) Prec@1 43.750 (45.706) Prec@5 72.500 (76.244) Epoch: [31][8920/11272] Time 0.913 (0.800) Data 0.002 (0.002) Loss 2.1771 (2.1339) Prec@1 41.250 (45.707) Prec@5 76.250 (76.245) Epoch: [31][8930/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.0589 (2.1338) Prec@1 50.625 (45.708) Prec@5 78.750 (76.246) Epoch: [31][8940/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.2563 (2.1339) Prec@1 41.875 (45.707) Prec@5 76.250 (76.247) Epoch: [31][8950/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 1.8765 (2.1338) Prec@1 51.875 (45.709) Prec@5 80.000 (76.249) Epoch: [31][8960/11272] Time 0.881 (0.800) Data 0.001 (0.002) Loss 2.5763 (2.1337) Prec@1 35.000 (45.709) Prec@5 68.125 (76.249) Epoch: [31][8970/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.0013 (2.1337) Prec@1 51.250 (45.709) Prec@5 77.500 (76.250) Epoch: [31][8980/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.0055 (2.1337) Prec@1 51.875 (45.710) Prec@5 78.750 (76.251) Epoch: [31][8990/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.9511 (2.1337) Prec@1 50.000 (45.710) Prec@5 78.125 (76.251) Epoch: [31][9000/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 1.9458 (2.1337) Prec@1 50.000 (45.712) Prec@5 83.125 (76.251) Epoch: [31][9010/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.4662 (2.1337) Prec@1 35.000 (45.710) Prec@5 73.750 (76.251) Epoch: [31][9020/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.0100 (2.1337) Prec@1 44.375 (45.711) Prec@5 78.125 (76.251) Epoch: [31][9030/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.3266 (2.1337) Prec@1 43.750 (45.712) Prec@5 70.625 (76.251) Epoch: [31][9040/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.1201 (2.1336) Prec@1 50.625 (45.713) Prec@5 76.875 (76.252) Epoch: [31][9050/11272] Time 0.723 (0.800) Data 0.002 (0.002) Loss 2.1998 (2.1336) Prec@1 40.625 (45.713) Prec@5 76.250 (76.253) Epoch: [31][9060/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 1.9365 (2.1336) Prec@1 55.000 (45.713) Prec@5 76.250 (76.254) Epoch: [31][9070/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.2896 (2.1336) Prec@1 43.125 (45.713) Prec@5 70.000 (76.254) Epoch: [31][9080/11272] Time 0.918 (0.800) Data 0.004 (0.002) Loss 2.0565 (2.1335) Prec@1 45.625 (45.713) Prec@5 79.375 (76.254) Epoch: [31][9090/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.1407 (2.1335) Prec@1 45.625 (45.712) Prec@5 76.875 (76.255) Epoch: [31][9100/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 1.9691 (2.1336) Prec@1 48.125 (45.710) Prec@5 75.625 (76.255) Epoch: [31][9110/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 1.9228 (2.1335) Prec@1 53.750 (45.710) Prec@5 80.000 (76.255) Epoch: [31][9120/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 1.9573 (2.1335) Prec@1 47.500 (45.711) Prec@5 81.250 (76.257) Epoch: [31][9130/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1980 (2.1335) Prec@1 40.000 (45.710) Prec@5 79.375 (76.257) Epoch: [31][9140/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.0559 (2.1334) Prec@1 51.250 (45.713) Prec@5 76.875 (76.259) Epoch: [31][9150/11272] Time 0.909 (0.800) Data 0.002 (0.002) Loss 2.0843 (2.1333) Prec@1 51.250 (45.715) Prec@5 76.875 (76.259) Epoch: [31][9160/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.1401 (2.1333) Prec@1 47.500 (45.716) Prec@5 80.000 (76.260) Epoch: [31][9170/11272] Time 0.706 (0.800) Data 0.001 (0.002) Loss 2.5791 (2.1334) Prec@1 38.750 (45.716) Prec@5 70.000 (76.259) Epoch: [31][9180/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.1959 (2.1335) Prec@1 43.750 (45.714) Prec@5 76.250 (76.258) Epoch: [31][9190/11272] Time 0.910 (0.800) Data 0.002 (0.002) Loss 2.1272 (2.1335) Prec@1 43.125 (45.712) Prec@5 78.125 (76.257) Epoch: [31][9200/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 2.0930 (2.1335) Prec@1 43.125 (45.713) Prec@5 75.000 (76.256) Epoch: [31][9210/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.2350 (2.1336) Prec@1 41.875 (45.714) Prec@5 73.125 (76.256) Epoch: [31][9220/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.3263 (2.1336) Prec@1 42.500 (45.713) Prec@5 75.625 (76.257) Epoch: [31][9230/11272] Time 0.818 (0.800) Data 0.001 (0.002) Loss 2.1031 (2.1336) Prec@1 45.625 (45.712) Prec@5 76.250 (76.257) Epoch: [31][9240/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.1327 (2.1336) Prec@1 42.500 (45.710) Prec@5 76.875 (76.258) Epoch: [31][9250/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.1564 (2.1336) Prec@1 43.750 (45.707) Prec@5 73.125 (76.257) Epoch: [31][9260/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.2266 (2.1337) Prec@1 43.750 (45.707) Prec@5 78.125 (76.256) Epoch: [31][9270/11272] Time 0.730 (0.800) Data 0.003 (0.002) Loss 2.4726 (2.1337) Prec@1 40.625 (45.707) Prec@5 71.250 (76.255) Epoch: [31][9280/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.2574 (2.1337) Prec@1 41.250 (45.707) Prec@5 71.875 (76.255) Epoch: [31][9290/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.2921 (2.1337) Prec@1 42.500 (45.707) Prec@5 76.250 (76.255) Epoch: [31][9300/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.0558 (2.1337) Prec@1 48.125 (45.707) Prec@5 73.750 (76.254) Epoch: [31][9310/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 2.0692 (2.1337) Prec@1 46.250 (45.709) Prec@5 73.125 (76.254) Epoch: [31][9320/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.1330 (2.1336) Prec@1 52.500 (45.710) Prec@5 74.375 (76.255) Epoch: [31][9330/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 2.2686 (2.1336) Prec@1 42.500 (45.712) Prec@5 72.500 (76.257) Epoch: [31][9340/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 1.9600 (2.1335) Prec@1 49.375 (45.712) Prec@5 79.375 (76.257) Epoch: [31][9350/11272] Time 0.723 (0.800) Data 0.002 (0.002) Loss 2.0212 (2.1335) Prec@1 46.875 (45.712) Prec@5 78.125 (76.258) Epoch: [31][9360/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 1.9761 (2.1334) Prec@1 46.875 (45.713) Prec@5 81.250 (76.260) Epoch: [31][9370/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.1022 (2.1334) Prec@1 46.875 (45.712) Prec@5 78.125 (76.262) Epoch: [31][9380/11272] Time 0.861 (0.800) Data 0.001 (0.002) Loss 2.0645 (2.1334) Prec@1 45.625 (45.712) Prec@5 79.375 (76.260) Epoch: [31][9390/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.2115 (2.1335) Prec@1 48.125 (45.711) Prec@5 73.125 (76.260) Epoch: [31][9400/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.2613 (2.1335) Prec@1 42.500 (45.707) Prec@5 70.000 (76.260) Epoch: [31][9410/11272] Time 0.912 (0.800) Data 0.002 (0.002) Loss 2.3256 (2.1336) Prec@1 41.250 (45.708) Prec@5 72.500 (76.259) Epoch: [31][9420/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.1013 (2.1335) Prec@1 46.250 (45.709) Prec@5 77.500 (76.259) Epoch: [31][9430/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.1157 (2.1336) Prec@1 48.750 (45.707) Prec@5 75.625 (76.258) Epoch: [31][9440/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0136 (2.1336) Prec@1 51.250 (45.706) Prec@5 79.375 (76.258) Epoch: [31][9450/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.1993 (2.1335) Prec@1 42.500 (45.708) Prec@5 74.375 (76.260) Epoch: [31][9460/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.3186 (2.1336) Prec@1 44.375 (45.707) Prec@5 73.750 (76.259) Epoch: [31][9470/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.2277 (2.1335) Prec@1 41.875 (45.707) Prec@5 73.750 (76.259) Epoch: [31][9480/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 1.9569 (2.1335) Prec@1 51.250 (45.708) Prec@5 80.000 (76.259) Epoch: [31][9490/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1030 (2.1336) Prec@1 44.375 (45.707) Prec@5 77.500 (76.260) Epoch: [31][9500/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0280 (2.1335) Prec@1 51.875 (45.707) Prec@5 76.875 (76.260) Epoch: [31][9510/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1521 (2.1335) Prec@1 48.125 (45.707) Prec@5 74.375 (76.261) Epoch: [31][9520/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.2157 (2.1335) Prec@1 49.375 (45.708) Prec@5 76.875 (76.259) Epoch: [31][9530/11272] Time 0.721 (0.800) Data 0.003 (0.002) Loss 2.0551 (2.1334) Prec@1 48.125 (45.709) Prec@5 79.375 (76.262) Epoch: [31][9540/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.3001 (2.1334) Prec@1 41.875 (45.709) Prec@5 74.375 (76.262) Epoch: [31][9550/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.2154 (2.1334) Prec@1 44.375 (45.709) Prec@5 75.000 (76.261) Epoch: [31][9560/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 1.7529 (2.1333) Prec@1 55.000 (45.710) Prec@5 80.000 (76.262) Epoch: [31][9570/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.3525 (2.1334) Prec@1 44.375 (45.711) Prec@5 71.250 (76.260) Epoch: [31][9580/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.2976 (2.1334) Prec@1 41.875 (45.710) Prec@5 77.500 (76.260) Epoch: [31][9590/11272] Time 0.931 (0.800) Data 0.002 (0.002) Loss 2.1581 (2.1335) Prec@1 49.375 (45.710) Prec@5 73.750 (76.258) Epoch: [31][9600/11272] Time 0.807 (0.800) Data 0.001 (0.002) Loss 1.8811 (2.1335) Prec@1 53.750 (45.709) Prec@5 78.750 (76.257) Epoch: [31][9610/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.1448 (2.1336) Prec@1 44.375 (45.710) Prec@5 77.500 (76.257) Epoch: [31][9620/11272] Time 0.703 (0.800) Data 0.001 (0.002) Loss 2.1445 (2.1334) Prec@1 47.500 (45.713) Prec@5 72.500 (76.259) Epoch: [31][9630/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.1117 (2.1334) Prec@1 44.375 (45.712) Prec@5 76.250 (76.259) Epoch: [31][9640/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.0067 (2.1334) Prec@1 48.750 (45.713) Prec@5 81.875 (76.260) Epoch: [31][9650/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.3060 (2.1335) Prec@1 50.000 (45.712) Prec@5 71.250 (76.257) Epoch: [31][9660/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 2.3059 (2.1335) Prec@1 44.375 (45.713) Prec@5 75.625 (76.258) Epoch: [31][9670/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.9875 (2.1334) Prec@1 50.000 (45.715) Prec@5 81.875 (76.261) Epoch: [31][9680/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.2002 (2.1334) Prec@1 46.250 (45.716) Prec@5 76.250 (76.262) Epoch: [31][9690/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.1067 (2.1334) Prec@1 46.875 (45.716) Prec@5 75.625 (76.262) Epoch: [31][9700/11272] Time 0.840 (0.800) Data 0.001 (0.002) Loss 1.8906 (2.1334) Prec@1 51.875 (45.717) Prec@5 81.875 (76.261) Epoch: [31][9710/11272] Time 0.871 (0.800) Data 0.001 (0.002) Loss 2.0350 (2.1334) Prec@1 41.875 (45.715) Prec@5 80.625 (76.259) Epoch: [31][9720/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.0171 (2.1334) Prec@1 48.750 (45.714) Prec@5 78.750 (76.260) Epoch: [31][9730/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0709 (2.1334) Prec@1 45.000 (45.713) Prec@5 76.250 (76.260) Epoch: [31][9740/11272] Time 0.893 (0.800) Data 0.002 (0.002) Loss 1.9361 (2.1335) Prec@1 45.000 (45.710) Prec@5 81.875 (76.259) Epoch: [31][9750/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 2.1096 (2.1335) Prec@1 49.375 (45.711) Prec@5 74.375 (76.259) Epoch: [31][9760/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.0638 (2.1334) Prec@1 46.250 (45.712) Prec@5 78.125 (76.259) Epoch: [31][9770/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0546 (2.1334) Prec@1 45.000 (45.713) Prec@5 80.000 (76.259) Epoch: [31][9780/11272] Time 0.825 (0.800) Data 0.002 (0.002) Loss 2.1212 (2.1334) Prec@1 48.750 (45.715) Prec@5 79.375 (76.260) Epoch: [31][9790/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0937 (2.1333) Prec@1 44.375 (45.717) Prec@5 76.875 (76.261) Epoch: [31][9800/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1296 (2.1334) Prec@1 49.375 (45.716) Prec@5 74.375 (76.261) Epoch: [31][9810/11272] Time 0.917 (0.800) Data 0.001 (0.002) Loss 2.0762 (2.1333) Prec@1 51.250 (45.717) Prec@5 77.500 (76.262) Epoch: [31][9820/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.8922 (2.1333) Prec@1 53.750 (45.718) Prec@5 82.500 (76.263) Epoch: [31][9830/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.0594 (2.1334) Prec@1 50.000 (45.716) Prec@5 80.625 (76.261) Epoch: [31][9840/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.4310 (2.1334) Prec@1 40.625 (45.716) Prec@5 67.500 (76.261) Epoch: [31][9850/11272] Time 0.861 (0.800) Data 0.001 (0.002) Loss 1.9158 (2.1334) Prec@1 46.875 (45.716) Prec@5 79.375 (76.260) Epoch: [31][9860/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.1817 (2.1333) Prec@1 46.250 (45.718) Prec@5 75.625 (76.261) Epoch: [31][9870/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 1.9689 (2.1333) Prec@1 53.750 (45.721) Prec@5 81.875 (76.262) Epoch: [31][9880/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.2958 (2.1333) Prec@1 40.625 (45.718) Prec@5 73.125 (76.261) Epoch: [31][9890/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 1.9777 (2.1333) Prec@1 52.500 (45.717) Prec@5 76.250 (76.261) Epoch: [31][9900/11272] Time 0.915 (0.800) Data 0.002 (0.002) Loss 2.0790 (2.1334) Prec@1 44.375 (45.716) Prec@5 79.375 (76.262) Epoch: [31][9910/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 1.8987 (2.1334) Prec@1 55.625 (45.718) Prec@5 78.750 (76.261) Epoch: [31][9920/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 2.1130 (2.1333) Prec@1 45.625 (45.720) Prec@5 77.500 (76.263) Epoch: [31][9930/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.0244 (2.1333) Prec@1 46.250 (45.721) Prec@5 79.375 (76.264) Epoch: [31][9940/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.2355 (2.1333) Prec@1 44.375 (45.722) Prec@5 74.375 (76.263) Epoch: [31][9950/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.1054 (2.1332) Prec@1 46.875 (45.723) Prec@5 75.000 (76.264) Epoch: [31][9960/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 1.9219 (2.1332) Prec@1 51.250 (45.724) Prec@5 80.000 (76.265) Epoch: [31][9970/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 2.1836 (2.1331) Prec@1 48.750 (45.725) Prec@5 76.875 (76.265) Epoch: [31][9980/11272] Time 0.758 (0.800) Data 0.001 (0.002) Loss 2.0876 (2.1331) Prec@1 45.000 (45.727) Prec@5 78.750 (76.266) Epoch: [31][9990/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.1486 (2.1330) Prec@1 41.250 (45.728) Prec@5 80.000 (76.269) Epoch: [31][10000/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0341 (2.1330) Prec@1 47.500 (45.730) Prec@5 73.750 (76.269) Epoch: [31][10010/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 1.9295 (2.1329) Prec@1 48.750 (45.730) Prec@5 76.875 (76.270) Epoch: [31][10020/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.2011 (2.1329) Prec@1 42.500 (45.730) Prec@5 74.375 (76.269) Epoch: [31][10030/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0659 (2.1329) Prec@1 54.375 (45.731) Prec@5 78.125 (76.270) Epoch: [31][10040/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 2.1291 (2.1329) Prec@1 41.250 (45.731) Prec@5 77.500 (76.271) Epoch: [31][10050/11272] Time 0.914 (0.800) Data 0.002 (0.002) Loss 2.0055 (2.1328) Prec@1 54.375 (45.733) Prec@5 78.750 (76.271) Epoch: [31][10060/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.1067 (2.1328) Prec@1 47.500 (45.735) Prec@5 76.875 (76.271) Epoch: [31][10070/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.3085 (2.1327) Prec@1 44.375 (45.735) Prec@5 73.750 (76.271) Epoch: [31][10080/11272] Time 0.909 (0.800) Data 0.002 (0.002) Loss 2.2307 (2.1327) Prec@1 47.500 (45.737) Prec@5 75.000 (76.270) Epoch: [31][10090/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 2.0247 (2.1327) Prec@1 52.500 (45.737) Prec@5 79.375 (76.271) Epoch: [31][10100/11272] Time 0.759 (0.800) Data 0.001 (0.002) Loss 2.0285 (2.1327) Prec@1 47.500 (45.737) Prec@5 78.125 (76.272) Epoch: [31][10110/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 1.9461 (2.1327) Prec@1 46.250 (45.736) Prec@5 81.250 (76.273) Epoch: [31][10120/11272] Time 0.808 (0.800) Data 0.002 (0.002) Loss 2.0988 (2.1327) Prec@1 45.000 (45.734) Prec@5 75.625 (76.272) Epoch: [31][10130/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.1550 (2.1327) Prec@1 48.125 (45.736) Prec@5 76.250 (76.272) Epoch: [31][10140/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.0789 (2.1327) Prec@1 41.250 (45.735) Prec@5 78.750 (76.273) Epoch: [31][10150/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.1268 (2.1327) Prec@1 47.500 (45.737) Prec@5 75.000 (76.273) Epoch: [31][10160/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.1666 (2.1327) Prec@1 46.250 (45.738) Prec@5 77.500 (76.275) Epoch: [31][10170/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 1.8278 (2.1326) Prec@1 58.125 (45.740) Prec@5 78.125 (76.275) Epoch: [31][10180/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.1529 (2.1326) Prec@1 43.125 (45.738) Prec@5 73.750 (76.274) Epoch: [31][10190/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.1209 (2.1326) Prec@1 46.250 (45.738) Prec@5 78.125 (76.275) Epoch: [31][10200/11272] Time 0.735 (0.800) Data 0.003 (0.002) Loss 2.0190 (2.1326) Prec@1 45.625 (45.737) Prec@5 77.500 (76.274) Epoch: [31][10210/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0296 (2.1326) Prec@1 52.500 (45.739) Prec@5 74.375 (76.275) Epoch: [31][10220/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.0271 (2.1325) Prec@1 45.000 (45.741) Prec@5 78.125 (76.277) Epoch: [31][10230/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.3595 (2.1325) Prec@1 41.250 (45.739) Prec@5 71.250 (76.277) Epoch: [31][10240/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0705 (2.1325) Prec@1 45.625 (45.737) Prec@5 77.500 (76.277) Epoch: [31][10250/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.3939 (2.1325) Prec@1 41.250 (45.736) Prec@5 70.000 (76.277) Epoch: [31][10260/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.0697 (2.1324) Prec@1 50.000 (45.738) Prec@5 79.375 (76.278) Epoch: [31][10270/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.0423 (2.1324) Prec@1 46.250 (45.739) Prec@5 79.375 (76.279) Epoch: [31][10280/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 2.1270 (2.1324) Prec@1 43.125 (45.739) Prec@5 74.375 (76.278) Epoch: [31][10290/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.2902 (2.1324) Prec@1 38.750 (45.737) Prec@5 70.625 (76.276) Epoch: [31][10300/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.9957 (2.1324) Prec@1 50.625 (45.737) Prec@5 76.250 (76.277) Epoch: [31][10310/11272] Time 0.881 (0.800) Data 0.001 (0.002) Loss 2.4636 (2.1325) Prec@1 36.250 (45.735) Prec@5 70.625 (76.275) Epoch: [31][10320/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.2244 (2.1324) Prec@1 44.375 (45.735) Prec@5 75.000 (76.277) Epoch: [31][10330/11272] Time 0.812 (0.800) Data 0.001 (0.002) Loss 2.1523 (2.1325) Prec@1 44.375 (45.736) Prec@5 71.250 (76.275) Epoch: [31][10340/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.0037 (2.1324) Prec@1 52.500 (45.739) Prec@5 80.000 (76.276) Epoch: [31][10350/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 2.2345 (2.1324) Prec@1 44.375 (45.742) Prec@5 75.625 (76.277) Epoch: [31][10360/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.1390 (2.1323) Prec@1 50.625 (45.743) Prec@5 70.000 (76.279) Epoch: [31][10370/11272] Time 0.882 (0.800) Data 0.004 (0.002) Loss 1.9949 (2.1323) Prec@1 47.500 (45.742) Prec@5 78.750 (76.279) Epoch: [31][10380/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 1.8178 (2.1322) Prec@1 48.125 (45.742) Prec@5 86.250 (76.280) Epoch: [31][10390/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.3494 (2.1323) Prec@1 45.000 (45.739) Prec@5 71.250 (76.280) Epoch: [31][10400/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.0232 (2.1323) Prec@1 49.375 (45.740) Prec@5 70.625 (76.278) Epoch: [31][10410/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.0370 (2.1323) Prec@1 46.250 (45.741) Prec@5 77.500 (76.278) Epoch: [31][10420/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.9359 (2.1323) Prec@1 50.625 (45.740) Prec@5 81.250 (76.279) Epoch: [31][10430/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.3707 (2.1323) Prec@1 38.750 (45.739) Prec@5 75.625 (76.279) Epoch: [31][10440/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0166 (2.1323) Prec@1 50.625 (45.739) Prec@5 76.250 (76.279) Epoch: [31][10450/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 2.1546 (2.1323) Prec@1 45.000 (45.739) Prec@5 76.875 (76.279) Epoch: [31][10460/11272] Time 0.741 (0.800) Data 0.003 (0.002) Loss 2.0705 (2.1323) Prec@1 51.250 (45.739) Prec@5 75.625 (76.278) Epoch: [31][10470/11272] Time 0.763 (0.800) Data 0.002 (0.002) Loss 2.1138 (2.1323) Prec@1 50.625 (45.739) Prec@5 76.875 (76.278) Epoch: [31][10480/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.1546 (2.1323) Prec@1 48.125 (45.740) Prec@5 73.125 (76.277) Epoch: [31][10490/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.1386 (2.1323) Prec@1 46.250 (45.741) Prec@5 76.250 (76.279) Epoch: [31][10500/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 2.0701 (2.1323) Prec@1 46.250 (45.740) Prec@5 78.125 (76.278) Epoch: [31][10510/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.0011 (2.1323) Prec@1 47.500 (45.739) Prec@5 80.625 (76.278) Epoch: [31][10520/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 1.8638 (2.1322) Prec@1 51.250 (45.740) Prec@5 78.750 (76.280) Epoch: [31][10530/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.1330 (2.1322) Prec@1 47.500 (45.741) Prec@5 78.125 (76.281) Epoch: [31][10540/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.3902 (2.1322) Prec@1 41.875 (45.740) Prec@5 69.375 (76.281) Epoch: [31][10550/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.3673 (2.1322) Prec@1 36.250 (45.737) Prec@5 71.875 (76.280) Epoch: [31][10560/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 1.9396 (2.1322) Prec@1 51.875 (45.737) Prec@5 80.625 (76.282) Epoch: [31][10570/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.3988 (2.1321) Prec@1 43.125 (45.739) Prec@5 68.750 (76.282) Epoch: [31][10580/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.4557 (2.1321) Prec@1 36.875 (45.739) Prec@5 69.375 (76.282) Epoch: [31][10590/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 1.9390 (2.1320) Prec@1 50.000 (45.740) Prec@5 81.250 (76.283) Epoch: [31][10600/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.9068 (2.1321) Prec@1 48.750 (45.739) Prec@5 78.750 (76.283) Epoch: [31][10610/11272] Time 0.755 (0.800) Data 0.001 (0.002) Loss 2.0739 (2.1321) Prec@1 48.125 (45.737) Prec@5 76.875 (76.282) Epoch: [31][10620/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.0722 (2.1321) Prec@1 47.500 (45.736) Prec@5 77.500 (76.282) Epoch: [31][10630/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 1.9269 (2.1321) Prec@1 51.250 (45.736) Prec@5 76.875 (76.281) Epoch: [31][10640/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 2.2296 (2.1322) Prec@1 43.750 (45.735) Prec@5 73.750 (76.279) Epoch: [31][10650/11272] Time 0.748 (0.800) Data 0.001 (0.002) Loss 2.1954 (2.1322) Prec@1 45.625 (45.735) Prec@5 75.625 (76.278) Epoch: [31][10660/11272] Time 0.751 (0.800) Data 0.001 (0.002) Loss 2.0967 (2.1322) Prec@1 50.000 (45.735) Prec@5 73.125 (76.276) Epoch: [31][10670/11272] Time 0.896 (0.800) Data 0.002 (0.002) Loss 2.1971 (2.1322) Prec@1 46.875 (45.735) Prec@5 76.875 (76.277) Epoch: [31][10680/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 2.2902 (2.1322) Prec@1 40.000 (45.736) Prec@5 73.125 (76.277) Epoch: [31][10690/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1811 (2.1322) Prec@1 45.625 (45.735) Prec@5 78.125 (76.275) Epoch: [31][10700/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.8567 (2.1323) Prec@1 55.000 (45.734) Prec@5 80.625 (76.274) Epoch: [31][10710/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.2801 (2.1323) Prec@1 41.875 (45.732) Prec@5 73.750 (76.273) Epoch: [31][10720/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.0342 (2.1323) Prec@1 49.375 (45.733) Prec@5 76.250 (76.272) Epoch: [31][10730/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0567 (2.1323) Prec@1 46.875 (45.734) Prec@5 78.750 (76.275) Epoch: [31][10740/11272] Time 0.913 (0.800) Data 0.001 (0.002) Loss 2.3999 (2.1324) Prec@1 36.875 (45.731) Prec@5 73.750 (76.273) Epoch: [31][10750/11272] Time 0.895 (0.800) Data 0.002 (0.002) Loss 2.0368 (2.1323) Prec@1 44.375 (45.732) Prec@5 78.125 (76.273) Epoch: [31][10760/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.1719 (2.1324) Prec@1 47.500 (45.732) Prec@5 74.375 (76.273) Epoch: [31][10770/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.4462 (2.1324) Prec@1 41.875 (45.730) Prec@5 71.250 (76.271) Epoch: [31][10780/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.0026 (2.1324) Prec@1 43.125 (45.731) Prec@5 81.250 (76.273) Epoch: [31][10790/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.0724 (2.1324) Prec@1 45.000 (45.731) Prec@5 77.500 (76.272) Epoch: [31][10800/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.3961 (2.1324) Prec@1 36.875 (45.731) Prec@5 70.000 (76.272) Epoch: [31][10810/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.0401 (2.1324) Prec@1 48.750 (45.730) Prec@5 78.750 (76.272) Epoch: [31][10820/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1231 (2.1324) Prec@1 44.375 (45.729) Prec@5 75.000 (76.272) Epoch: [31][10830/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 2.2120 (2.1324) Prec@1 45.625 (45.728) Prec@5 74.375 (76.272) Epoch: [31][10840/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.1653 (2.1324) Prec@1 43.750 (45.729) Prec@5 73.750 (76.271) Epoch: [31][10850/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.8759 (2.1324) Prec@1 51.875 (45.730) Prec@5 83.750 (76.272) Epoch: [31][10860/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.3555 (2.1325) Prec@1 42.500 (45.729) Prec@5 70.000 (76.270) Epoch: [31][10870/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.0256 (2.1325) Prec@1 48.125 (45.729) Prec@5 76.875 (76.269) Epoch: [31][10880/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0374 (2.1325) Prec@1 45.625 (45.728) Prec@5 78.125 (76.268) Epoch: [31][10890/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.1931 (2.1325) Prec@1 45.000 (45.729) Prec@5 76.875 (76.269) Epoch: [31][10900/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 2.2418 (2.1325) Prec@1 39.375 (45.730) Prec@5 78.125 (76.269) Epoch: [31][10910/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 1.9930 (2.1325) Prec@1 46.250 (45.729) Prec@5 78.125 (76.269) Epoch: [31][10920/11272] Time 0.777 (0.800) Data 0.002 (0.002) Loss 2.2410 (2.1325) Prec@1 38.750 (45.729) Prec@5 75.000 (76.270) Epoch: [31][10930/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.7994 (2.1324) Prec@1 50.000 (45.729) Prec@5 81.875 (76.271) Epoch: [31][10940/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.0644 (2.1324) Prec@1 50.625 (45.729) Prec@5 75.625 (76.271) Epoch: [31][10950/11272] Time 0.779 (0.800) Data 0.002 (0.002) Loss 2.4781 (2.1325) Prec@1 41.250 (45.727) Prec@5 70.000 (76.270) Epoch: [31][10960/11272] Time 0.760 (0.800) Data 0.001 (0.002) Loss 2.0907 (2.1325) Prec@1 46.250 (45.727) Prec@5 80.000 (76.269) Epoch: [31][10970/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.1235 (2.1325) Prec@1 44.375 (45.727) Prec@5 78.125 (76.270) Epoch: [31][10980/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 1.9181 (2.1325) Prec@1 48.125 (45.726) Prec@5 80.625 (76.270) Epoch: [31][10990/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.1894 (2.1325) Prec@1 46.875 (45.725) Prec@5 76.875 (76.270) Epoch: [31][11000/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.1128 (2.1325) Prec@1 45.000 (45.724) Prec@5 77.500 (76.269) Epoch: [31][11010/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0522 (2.1325) Prec@1 51.250 (45.724) Prec@5 75.625 (76.268) Epoch: [31][11020/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 1.9959 (2.1325) Prec@1 53.125 (45.724) Prec@5 75.000 (76.268) Epoch: [31][11030/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0357 (2.1326) Prec@1 48.125 (45.725) Prec@5 77.500 (76.267) Epoch: [31][11040/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 1.9627 (2.1326) Prec@1 46.875 (45.724) Prec@5 81.250 (76.267) Epoch: [31][11050/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.1862 (2.1326) Prec@1 44.375 (45.724) Prec@5 75.000 (76.267) Epoch: [31][11060/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.3495 (2.1325) Prec@1 43.125 (45.725) Prec@5 73.125 (76.267) Epoch: [31][11070/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.1509 (2.1326) Prec@1 43.750 (45.725) Prec@5 72.500 (76.267) Epoch: [31][11080/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.2465 (2.1326) Prec@1 43.750 (45.725) Prec@5 72.500 (76.266) Epoch: [31][11090/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 2.1675 (2.1325) Prec@1 46.875 (45.727) Prec@5 77.500 (76.268) Epoch: [31][11100/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.0933 (2.1325) Prec@1 48.125 (45.727) Prec@5 79.375 (76.268) Epoch: [31][11110/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 2.1824 (2.1326) Prec@1 42.500 (45.725) Prec@5 73.750 (76.267) Epoch: [31][11120/11272] Time 0.886 (0.800) Data 0.002 (0.002) Loss 1.9256 (2.1325) Prec@1 49.375 (45.725) Prec@5 77.500 (76.268) Epoch: [31][11130/11272] Time 0.733 (0.800) Data 0.003 (0.002) Loss 2.0915 (2.1326) Prec@1 45.000 (45.725) Prec@5 77.500 (76.267) Epoch: [31][11140/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.1491 (2.1326) Prec@1 43.125 (45.725) Prec@5 74.375 (76.265) Epoch: [31][11150/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.0165 (2.1326) Prec@1 48.125 (45.726) Prec@5 79.375 (76.265) Epoch: [31][11160/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.1874 (2.1326) Prec@1 45.000 (45.725) Prec@5 73.750 (76.265) Epoch: [31][11170/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.0661 (2.1327) Prec@1 50.000 (45.726) Prec@5 78.125 (76.264) Epoch: [31][11180/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 2.1568 (2.1327) Prec@1 46.875 (45.725) Prec@5 76.875 (76.264) Epoch: [31][11190/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 2.2999 (2.1326) Prec@1 35.000 (45.725) Prec@5 76.250 (76.265) Epoch: [31][11200/11272] Time 0.853 (0.800) Data 0.001 (0.002) Loss 2.0972 (2.1327) Prec@1 43.750 (45.724) Prec@5 75.000 (76.265) Epoch: [31][11210/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0919 (2.1327) Prec@1 43.750 (45.724) Prec@5 76.250 (76.265) Epoch: [31][11220/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1747 (2.1327) Prec@1 45.625 (45.725) Prec@5 76.250 (76.266) Epoch: [31][11230/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.2817 (2.1328) Prec@1 35.625 (45.723) Prec@5 73.750 (76.263) Epoch: [31][11240/11272] Time 0.888 (0.800) Data 0.001 (0.002) Loss 2.2709 (2.1328) Prec@1 38.750 (45.722) Prec@5 71.250 (76.263) Epoch: [31][11250/11272] Time 0.772 (0.800) Data 0.002 (0.002) Loss 1.8119 (2.1328) Prec@1 57.500 (45.724) Prec@5 78.750 (76.263) Epoch: [31][11260/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.0052 (2.1328) Prec@1 45.625 (45.724) Prec@5 74.375 (76.263) Epoch: [31][11270/11272] Time 0.814 (0.800) Data 0.000 (0.002) Loss 2.0146 (2.1327) Prec@1 48.750 (45.725) Prec@5 78.125 (76.261) Test: [0/229] Time 1.529 (1.529) Loss 1.3638 (1.3638) Prec@1 56.250 (56.250) Prec@5 93.750 (93.750) Test: [10/229] Time 0.369 (0.486) Loss 0.9488 (1.7521) Prec@1 73.125 (52.557) Prec@5 96.250 (85.170) Test: [20/229] Time 0.476 (0.442) Loss 2.2243 (1.7944) Prec@1 44.375 (51.250) Prec@5 77.500 (84.196) Test: [30/229] Time 0.448 (0.425) Loss 1.8927 (1.7255) Prec@1 49.375 (53.488) Prec@5 83.750 (84.778) Test: [40/229] Time 0.361 (0.415) Loss 0.5813 (1.7399) Prec@1 87.500 (52.988) Prec@5 93.750 (84.497) Test: [50/229] Time 0.385 (0.409) Loss 2.3177 (1.7861) Prec@1 37.500 (52.341) Prec@5 76.875 (83.211) Test: [60/229] Time 0.368 (0.403) Loss 2.1863 (1.7738) Prec@1 35.000 (52.275) Prec@5 79.375 (83.402) Test: [70/229] Time 0.439 (0.400) Loss 1.5508 (1.7836) Prec@1 61.250 (52.016) Prec@5 86.250 (83.371) Test: [80/229] Time 0.356 (0.398) Loss 2.1487 (1.8060) Prec@1 40.625 (51.420) Prec@5 80.625 (83.318) Test: [90/229] Time 0.311 (0.396) Loss 1.3245 (1.8067) Prec@1 65.625 (51.422) Prec@5 86.875 (83.359) Test: [100/229] Time 0.441 (0.395) Loss 2.2518 (1.7923) Prec@1 47.500 (52.110) Prec@5 80.000 (83.521) Test: [110/229] Time 0.358 (0.393) Loss 1.3168 (1.7708) Prec@1 61.250 (52.539) Prec@5 90.000 (83.778) Test: [120/229] Time 0.449 (0.393) Loss 2.8541 (1.7918) Prec@1 29.375 (52.040) Prec@5 74.375 (83.549) Test: [130/229] Time 0.329 (0.391) Loss 1.4999 (1.7807) Prec@1 57.500 (52.257) Prec@5 90.000 (83.726) Test: [140/229] Time 0.439 (0.392) Loss 1.6955 (1.7950) Prec@1 56.875 (51.928) Prec@5 83.125 (83.626) Test: [150/229] Time 0.395 (0.391) Loss 1.1444 (1.8074) Prec@1 74.375 (51.581) Prec@5 88.750 (83.489) Test: [160/229] Time 0.362 (0.391) Loss 1.6759 (1.8091) Prec@1 63.750 (51.580) Prec@5 86.875 (83.486) Test: [170/229] Time 0.444 (0.391) Loss 1.9193 (1.8194) Prec@1 46.875 (51.213) Prec@5 85.000 (83.297) Test: [180/229] Time 0.336 (0.390) Loss 2.3908 (1.8250) Prec@1 33.125 (51.167) Prec@5 71.875 (83.056) Test: [190/229] Time 0.481 (0.391) Loss 1.2580 (1.8152) Prec@1 68.750 (51.505) Prec@5 92.500 (83.125) Test: [200/229] Time 0.345 (0.390) Loss 1.9862 (1.8098) Prec@1 43.750 (51.524) Prec@5 78.750 (83.315) Test: [210/229] Time 0.419 (0.390) Loss 1.4258 (1.8015) Prec@1 53.125 (51.715) Prec@5 91.250 (83.448) Test: [220/229] Time 0.483 (0.390) Loss 1.4532 (1.7900) Prec@1 63.125 (52.127) Prec@5 87.500 (83.518) * Prec@1 52.435 Prec@5 83.562 Epoch: [32][0/11272] Time 3.002 (3.002) Data 2.076 (2.076) Loss 2.3038 (2.3038) Prec@1 37.500 (37.500) Prec@5 73.125 (73.125) Epoch: [32][10/11272] Time 0.799 (0.988) Data 0.002 (0.190) Loss 2.1537 (2.0407) Prec@1 45.625 (47.330) Prec@5 78.125 (77.045) Epoch: [32][20/11272] Time 0.734 (0.882) Data 0.002 (0.100) Loss 2.0477 (2.0555) Prec@1 48.125 (47.381) Prec@5 80.625 (77.292) Epoch: [32][30/11272] Time 0.746 (0.859) Data 0.001 (0.069) Loss 2.1716 (2.0855) Prec@1 47.500 (46.815) Prec@5 79.375 (76.694) Epoch: [32][40/11272] Time 0.844 (0.846) Data 0.002 (0.052) Loss 2.1237 (2.0783) Prec@1 49.375 (47.088) Prec@5 78.750 (76.936) Epoch: [32][50/11272] Time 0.869 (0.834) Data 0.001 (0.042) Loss 1.9983 (2.0860) Prec@1 48.750 (47.157) Prec@5 80.000 (76.642) Epoch: [32][60/11272] Time 0.737 (0.829) Data 0.001 (0.036) Loss 2.0236 (2.0893) Prec@1 50.000 (47.469) Prec@5 80.000 (76.701) Epoch: [32][70/11272] Time 0.832 (0.825) Data 0.002 (0.031) Loss 2.2361 (2.0877) Prec@1 46.875 (47.509) Prec@5 75.625 (76.769) Epoch: [32][80/11272] Time 0.835 (0.819) Data 0.002 (0.027) Loss 2.0304 (2.0886) Prec@1 44.375 (47.299) Prec@5 76.875 (76.713) Epoch: [32][90/11272] Time 0.750 (0.815) Data 0.001 (0.024) Loss 2.2261 (2.0912) Prec@1 48.750 (47.074) Prec@5 73.750 (76.745) Epoch: [32][100/11272] Time 0.728 (0.813) Data 0.002 (0.022) Loss 1.9913 (2.0835) Prec@1 46.250 (47.259) Prec@5 79.375 (76.931) Epoch: [32][110/11272] Time 0.874 (0.811) Data 0.001 (0.020) Loss 2.0291 (2.0885) Prec@1 43.750 (47.173) Prec@5 77.500 (76.943) Epoch: [32][120/11272] Time 0.815 (0.810) Data 0.001 (0.019) Loss 1.8275 (2.0907) Prec@1 50.625 (47.025) Prec@5 77.500 (76.921) Epoch: [32][130/11272] Time 0.739 (0.808) Data 0.001 (0.017) Loss 1.9899 (2.0889) Prec@1 47.500 (46.947) Prec@5 81.250 (76.970) Epoch: [32][140/11272] Time 0.730 (0.806) Data 0.002 (0.016) Loss 2.2456 (2.0932) Prec@1 41.250 (46.760) Prec@5 72.500 (76.964) Epoch: [32][150/11272] Time 0.835 (0.806) Data 0.002 (0.015) Loss 1.8455 (2.0914) Prec@1 55.000 (46.809) Prec@5 84.375 (77.045) Epoch: [32][160/11272] Time 0.844 (0.806) Data 0.001 (0.015) Loss 2.0386 (2.0891) Prec@1 43.750 (46.871) Prec@5 78.125 (77.092) Epoch: [32][170/11272] Time 0.739 (0.805) Data 0.002 (0.014) Loss 1.9721 (2.0861) Prec@1 52.500 (47.098) Prec@5 80.000 (77.116) Epoch: [32][180/11272] Time 0.802 (0.805) Data 0.002 (0.013) Loss 2.2874 (2.0886) Prec@1 45.000 (47.048) Prec@5 75.625 (77.093) Epoch: [32][190/11272] Time 0.878 (0.805) Data 0.002 (0.012) Loss 2.0043 (2.0911) Prec@1 46.875 (47.026) Prec@5 80.625 (77.039) Epoch: [32][200/11272] Time 0.722 (0.804) Data 0.003 (0.012) Loss 2.1750 (2.0923) Prec@1 43.125 (46.940) Prec@5 75.625 (77.018) Epoch: [32][210/11272] Time 0.743 (0.803) Data 0.002 (0.011) Loss 2.1292 (2.0927) Prec@1 49.375 (46.911) Prec@5 77.500 (77.011) Epoch: [32][220/11272] Time 0.845 (0.803) Data 0.002 (0.011) Loss 2.1516 (2.0925) Prec@1 45.625 (46.926) Prec@5 75.000 (77.019) Epoch: [32][230/11272] Time 0.834 (0.803) Data 0.002 (0.011) Loss 2.1538 (2.0919) Prec@1 48.750 (46.972) Prec@5 78.750 (77.070) Epoch: [32][240/11272] Time 0.746 (0.802) Data 0.002 (0.010) Loss 2.1887 (2.0929) Prec@1 45.000 (46.958) Prec@5 76.875 (77.051) Epoch: [32][250/11272] Time 0.749 (0.802) Data 0.001 (0.010) Loss 1.9517 (2.0928) Prec@1 45.000 (46.920) Prec@5 79.375 (77.079) Epoch: [32][260/11272] Time 0.829 (0.802) Data 0.001 (0.010) Loss 2.1064 (2.0935) Prec@1 45.000 (46.882) Prec@5 76.875 (77.091) Epoch: [32][270/11272] Time 0.852 (0.802) Data 0.001 (0.009) Loss 2.1776 (2.0919) Prec@1 40.000 (46.942) Prec@5 76.875 (77.122) Epoch: [32][280/11272] Time 0.729 (0.802) Data 0.002 (0.009) Loss 2.0722 (2.0920) Prec@1 50.000 (46.908) Prec@5 77.500 (77.144) Epoch: [32][290/11272] Time 0.784 (0.802) Data 0.002 (0.009) Loss 2.0419 (2.0924) Prec@1 54.375 (46.903) Prec@5 76.250 (77.165) Epoch: [32][300/11272] Time 0.847 (0.801) Data 0.002 (0.009) Loss 2.1815 (2.0944) Prec@1 46.250 (46.848) Prec@5 76.250 (77.147) Epoch: [32][310/11272] Time 0.844 (0.801) Data 0.002 (0.008) Loss 2.0377 (2.0943) Prec@1 44.375 (46.853) Prec@5 76.875 (77.134) Epoch: [32][320/11272] Time 0.778 (0.801) Data 0.002 (0.008) Loss 2.1430 (2.0965) Prec@1 46.250 (46.840) Prec@5 76.250 (77.076) Epoch: [32][330/11272] Time 0.846 (0.801) Data 0.002 (0.008) Loss 2.1118 (2.0949) Prec@1 44.375 (46.833) Prec@5 76.875 (77.098) Epoch: [32][340/11272] Time 0.886 (0.801) Data 0.002 (0.008) Loss 2.2808 (2.0956) Prec@1 42.500 (46.833) Prec@5 71.875 (77.064) Epoch: [32][350/11272] Time 0.741 (0.800) Data 0.001 (0.008) Loss 2.0890 (2.0928) Prec@1 50.625 (46.879) Prec@5 78.125 (77.130) Epoch: [32][360/11272] Time 0.760 (0.800) Data 0.002 (0.007) Loss 2.3335 (2.0944) Prec@1 48.750 (46.901) Prec@5 73.750 (77.086) Epoch: [32][370/11272] Time 0.863 (0.800) Data 0.002 (0.007) Loss 2.2236 (2.0938) Prec@1 42.500 (46.919) Prec@5 75.000 (77.069) Epoch: [32][380/11272] Time 0.887 (0.801) Data 0.001 (0.007) Loss 1.9779 (2.0933) Prec@1 51.875 (46.923) Prec@5 82.500 (77.087) Epoch: [32][390/11272] Time 0.751 (0.801) Data 0.001 (0.007) Loss 2.1227 (2.0918) Prec@1 45.000 (46.949) Prec@5 78.125 (77.132) Epoch: [32][400/11272] Time 0.739 (0.801) Data 0.002 (0.007) Loss 2.2721 (2.0931) Prec@1 43.750 (46.928) Prec@5 76.875 (77.101) Epoch: [32][410/11272] Time 0.912 (0.801) Data 0.002 (0.007) Loss 2.1258 (2.0923) Prec@1 47.500 (46.953) Prec@5 73.125 (77.106) Epoch: [32][420/11272] Time 0.825 (0.800) Data 0.002 (0.007) Loss 1.8379 (2.0928) Prec@1 55.000 (46.948) Prec@5 78.750 (77.083) Epoch: [32][430/11272] Time 0.767 (0.801) Data 0.002 (0.006) Loss 1.7598 (2.0931) Prec@1 51.250 (46.946) Prec@5 83.125 (77.077) Epoch: [32][440/11272] Time 0.736 (0.800) Data 0.002 (0.006) Loss 2.2292 (2.0943) Prec@1 43.750 (46.918) Prec@5 78.125 (77.034) Epoch: [32][450/11272] Time 0.852 (0.801) Data 0.001 (0.006) Loss 2.3370 (2.0953) Prec@1 41.250 (46.914) Prec@5 72.500 (77.015) Epoch: [32][460/11272] Time 0.840 (0.800) Data 0.002 (0.006) Loss 2.1084 (2.0954) Prec@1 48.750 (46.948) Prec@5 75.625 (77.000) Epoch: [32][470/11272] Time 0.745 (0.800) Data 0.002 (0.006) Loss 2.0428 (2.0954) Prec@1 46.250 (46.912) Prec@5 75.625 (77.010) Epoch: [32][480/11272] Time 0.878 (0.800) Data 0.001 (0.006) Loss 2.1406 (2.0955) Prec@1 45.000 (46.923) Prec@5 74.375 (76.976) Epoch: [32][490/11272] Time 0.863 (0.800) Data 0.002 (0.006) Loss 1.9427 (2.0958) Prec@1 55.625 (46.939) Prec@5 77.500 (76.958) Epoch: [32][500/11272] Time 0.749 (0.800) Data 0.002 (0.006) Loss 2.1082 (2.0962) Prec@1 40.625 (46.905) Prec@5 76.250 (76.956) Epoch: [32][510/11272] Time 0.729 (0.800) Data 0.002 (0.006) Loss 2.2207 (2.0989) Prec@1 43.125 (46.842) Prec@5 77.500 (76.914) Epoch: [32][520/11272] Time 0.844 (0.800) Data 0.002 (0.006) Loss 2.0198 (2.0989) Prec@1 50.625 (46.846) Prec@5 80.000 (76.901) Epoch: [32][530/11272] Time 0.887 (0.800) Data 0.001 (0.006) Loss 2.2494 (2.0988) Prec@1 46.875 (46.813) Prec@5 76.250 (76.906) Epoch: [32][540/11272] Time 0.715 (0.800) Data 0.001 (0.005) Loss 2.0539 (2.0995) Prec@1 46.250 (46.786) Prec@5 78.750 (76.882) Epoch: [32][550/11272] Time 0.736 (0.800) Data 0.002 (0.005) Loss 1.9766 (2.0991) Prec@1 43.125 (46.783) Prec@5 80.000 (76.895) Epoch: [32][560/11272] Time 0.864 (0.800) Data 0.002 (0.005) Loss 2.3992 (2.0996) Prec@1 38.125 (46.783) Prec@5 73.750 (76.901) Epoch: [32][570/11272] Time 0.838 (0.800) Data 0.002 (0.005) Loss 2.0741 (2.0990) Prec@1 45.625 (46.770) Prec@5 79.375 (76.915) Epoch: [32][580/11272] Time 0.751 (0.800) Data 0.002 (0.005) Loss 1.9838 (2.0992) Prec@1 53.125 (46.769) Prec@5 79.375 (76.912) Epoch: [32][590/11272] Time 0.742 (0.800) Data 0.002 (0.005) Loss 2.2434 (2.0997) Prec@1 43.125 (46.742) Prec@5 74.375 (76.894) Epoch: [32][600/11272] Time 0.887 (0.800) Data 0.002 (0.005) Loss 2.2319 (2.1003) Prec@1 41.875 (46.693) Prec@5 75.625 (76.861) Epoch: [32][610/11272] Time 0.740 (0.800) Data 0.002 (0.005) Loss 2.1422 (2.1010) Prec@1 45.625 (46.681) Prec@5 75.000 (76.858) Epoch: [32][620/11272] Time 0.723 (0.799) Data 0.001 (0.005) Loss 2.1254 (2.1005) Prec@1 44.375 (46.683) Prec@5 75.625 (76.865) Epoch: [32][630/11272] Time 0.842 (0.800) Data 0.002 (0.005) Loss 2.0719 (2.0994) Prec@1 44.375 (46.690) Prec@5 78.750 (76.880) Epoch: [32][640/11272] Time 0.823 (0.799) Data 0.001 (0.005) Loss 1.8823 (2.0985) Prec@1 51.250 (46.694) Prec@5 79.375 (76.887) Epoch: [32][650/11272] Time 0.764 (0.799) Data 0.002 (0.005) Loss 2.2001 (2.0987) Prec@1 46.875 (46.661) Prec@5 76.250 (76.887) Epoch: [32][660/11272] Time 0.728 (0.799) Data 0.002 (0.005) Loss 1.7506 (2.0968) Prec@1 50.000 (46.682) Prec@5 82.500 (76.925) Epoch: [32][670/11272] Time 0.842 (0.799) Data 0.002 (0.005) Loss 2.1425 (2.0974) Prec@1 47.500 (46.671) Prec@5 75.625 (76.906) Epoch: [32][680/11272] Time 0.820 (0.799) Data 0.002 (0.005) Loss 1.9022 (2.0976) Prec@1 48.125 (46.664) Prec@5 78.750 (76.893) Epoch: [32][690/11272] Time 0.790 (0.799) Data 0.002 (0.005) Loss 2.1994 (2.0976) Prec@1 43.125 (46.659) Prec@5 73.125 (76.881) Epoch: [32][700/11272] Time 0.720 (0.798) Data 0.001 (0.005) Loss 2.2308 (2.0984) Prec@1 40.625 (46.633) Prec@5 78.125 (76.866) Epoch: [32][710/11272] Time 0.846 (0.798) Data 0.002 (0.005) Loss 2.0503 (2.0979) Prec@1 45.000 (46.618) Prec@5 76.875 (76.874) Epoch: [32][720/11272] Time 0.856 (0.798) Data 0.001 (0.005) Loss 2.0161 (2.0988) Prec@1 48.125 (46.603) Prec@5 78.750 (76.854) Epoch: [32][730/11272] Time 0.725 (0.798) Data 0.001 (0.004) Loss 2.0139 (2.0989) Prec@1 50.000 (46.599) Prec@5 77.500 (76.854) Epoch: [32][740/11272] Time 0.866 (0.798) Data 0.001 (0.004) Loss 2.0317 (2.0998) Prec@1 51.250 (46.614) Prec@5 80.000 (76.852) Epoch: [32][750/11272] Time 0.853 (0.798) Data 0.002 (0.004) Loss 1.9335 (2.0992) Prec@1 45.000 (46.628) Prec@5 80.625 (76.865) Epoch: [32][760/11272] Time 0.796 (0.799) Data 0.002 (0.004) Loss 2.3117 (2.1003) Prec@1 45.625 (46.586) Prec@5 75.000 (76.845) Epoch: [32][770/11272] Time 0.779 (0.798) Data 0.001 (0.004) Loss 1.8307 (2.1007) Prec@1 50.625 (46.574) Prec@5 84.375 (76.849) Epoch: [32][780/11272] Time 0.839 (0.798) Data 0.002 (0.004) Loss 2.0223 (2.1010) Prec@1 51.250 (46.563) Prec@5 76.875 (76.845) Epoch: [32][790/11272] Time 0.840 (0.798) Data 0.002 (0.004) Loss 2.1252 (2.1013) Prec@1 47.500 (46.552) Prec@5 72.500 (76.838) Epoch: [32][800/11272] Time 0.731 (0.798) Data 0.002 (0.004) Loss 1.9608 (2.1003) Prec@1 49.375 (46.560) Prec@5 77.500 (76.852) Epoch: [32][810/11272] Time 0.742 (0.798) Data 0.002 (0.004) Loss 2.3663 (2.1001) Prec@1 39.375 (46.571) Prec@5 72.500 (76.853) Epoch: [32][820/11272] Time 0.887 (0.798) Data 0.002 (0.004) Loss 2.2240 (2.1001) Prec@1 44.375 (46.570) Prec@5 71.875 (76.847) Epoch: [32][830/11272] Time 0.840 (0.798) Data 0.001 (0.004) Loss 1.9299 (2.0992) Prec@1 51.875 (46.582) Prec@5 78.125 (76.852) Epoch: [32][840/11272] Time 0.780 (0.798) Data 0.002 (0.004) Loss 2.2008 (2.0981) Prec@1 44.375 (46.604) Prec@5 73.750 (76.864) Epoch: [32][850/11272] Time 0.747 (0.798) Data 0.002 (0.004) Loss 2.2409 (2.0975) Prec@1 40.625 (46.599) Prec@5 72.500 (76.871) Epoch: [32][860/11272] Time 0.830 (0.798) Data 0.002 (0.004) Loss 2.2874 (2.0977) Prec@1 35.000 (46.592) Prec@5 73.125 (76.855) Epoch: [32][870/11272] Time 0.703 (0.798) Data 0.005 (0.004) Loss 1.9834 (2.0975) Prec@1 45.000 (46.587) Prec@5 77.500 (76.863) Epoch: [32][880/11272] Time 0.756 (0.798) Data 0.001 (0.004) Loss 1.9856 (2.0976) Prec@1 49.375 (46.584) Prec@5 83.750 (76.870) Epoch: [32][890/11272] Time 0.866 (0.798) Data 0.002 (0.004) Loss 2.0324 (2.0962) Prec@1 43.750 (46.605) Prec@5 80.000 (76.897) Epoch: [32][900/11272] Time 0.862 (0.798) Data 0.002 (0.004) Loss 2.1639 (2.0968) Prec@1 46.250 (46.572) Prec@5 73.750 (76.881) Epoch: [32][910/11272] Time 0.762 (0.798) Data 0.002 (0.004) Loss 2.1876 (2.0970) Prec@1 43.750 (46.569) Prec@5 75.000 (76.880) Epoch: [32][920/11272] Time 0.763 (0.798) Data 0.001 (0.004) Loss 2.0766 (2.0970) Prec@1 44.375 (46.567) Prec@5 76.250 (76.877) Epoch: [32][930/11272] Time 0.839 (0.798) Data 0.002 (0.004) Loss 2.0879 (2.0970) Prec@1 46.875 (46.555) Prec@5 80.000 (76.870) Epoch: [32][940/11272] Time 0.825 (0.798) Data 0.002 (0.004) Loss 2.0738 (2.0976) Prec@1 46.250 (46.535) Prec@5 75.625 (76.852) Epoch: [32][950/11272] Time 0.748 (0.798) Data 0.002 (0.004) Loss 1.9851 (2.0982) Prec@1 49.375 (46.544) Prec@5 77.500 (76.833) Epoch: [32][960/11272] Time 0.715 (0.798) Data 0.001 (0.004) Loss 2.2519 (2.0986) Prec@1 43.750 (46.539) Prec@5 73.125 (76.815) Epoch: [32][970/11272] Time 0.813 (0.798) Data 0.001 (0.004) Loss 2.1956 (2.0980) Prec@1 46.250 (46.556) Prec@5 75.625 (76.825) Epoch: [32][980/11272] Time 0.827 (0.798) Data 0.002 (0.004) Loss 2.2775 (2.0976) Prec@1 44.375 (46.584) Prec@5 76.875 (76.829) Epoch: [32][990/11272] Time 0.740 (0.798) Data 0.001 (0.004) Loss 2.0942 (2.0983) Prec@1 44.375 (46.560) Prec@5 79.375 (76.814) Epoch: [32][1000/11272] Time 0.919 (0.798) Data 0.001 (0.004) Loss 2.3189 (2.0991) Prec@1 40.625 (46.523) Prec@5 73.750 (76.803) Epoch: [32][1010/11272] Time 0.861 (0.798) Data 0.002 (0.004) Loss 2.0853 (2.0991) Prec@1 50.000 (46.529) Prec@5 75.625 (76.803) Epoch: [32][1020/11272] Time 0.729 (0.798) Data 0.001 (0.004) Loss 2.2294 (2.0993) Prec@1 41.250 (46.509) Prec@5 79.375 (76.795) Epoch: [32][1030/11272] Time 0.721 (0.798) Data 0.001 (0.004) Loss 1.6875 (2.0996) Prec@1 60.625 (46.505) Prec@5 85.625 (76.790) Epoch: [32][1040/11272] Time 0.834 (0.798) Data 0.002 (0.004) Loss 1.9534 (2.0994) Prec@1 52.500 (46.506) Prec@5 80.625 (76.800) Epoch: [32][1050/11272] Time 0.877 (0.798) Data 0.002 (0.004) Loss 2.0991 (2.0991) Prec@1 46.250 (46.516) Prec@5 80.000 (76.810) Epoch: [32][1060/11272] Time 0.812 (0.798) Data 0.002 (0.004) Loss 2.1869 (2.0987) Prec@1 39.375 (46.519) Prec@5 73.125 (76.808) Epoch: [32][1070/11272] Time 0.746 (0.798) Data 0.001 (0.004) Loss 1.9808 (2.0979) Prec@1 53.125 (46.548) Prec@5 76.875 (76.820) Epoch: [32][1080/11272] Time 0.830 (0.798) Data 0.002 (0.004) Loss 2.2162 (2.0977) Prec@1 45.625 (46.560) Prec@5 75.000 (76.819) Epoch: [32][1090/11272] Time 0.819 (0.798) Data 0.001 (0.004) Loss 2.3201 (2.0981) Prec@1 45.000 (46.542) Prec@5 70.000 (76.827) Epoch: [32][1100/11272] Time 0.750 (0.798) Data 0.002 (0.004) Loss 2.0236 (2.0983) Prec@1 41.250 (46.540) Prec@5 79.375 (76.818) Epoch: [32][1110/11272] Time 0.760 (0.798) Data 0.002 (0.004) Loss 2.2104 (2.0993) Prec@1 39.375 (46.506) Prec@5 76.875 (76.806) Epoch: [32][1120/11272] Time 0.876 (0.798) Data 0.002 (0.003) Loss 1.9110 (2.0995) Prec@1 51.250 (46.491) Prec@5 79.375 (76.801) Epoch: [32][1130/11272] Time 0.771 (0.798) Data 0.003 (0.003) Loss 1.9849 (2.0999) Prec@1 50.625 (46.479) Prec@5 76.250 (76.793) Epoch: [32][1140/11272] Time 0.750 (0.798) Data 0.001 (0.003) Loss 2.0914 (2.0998) Prec@1 43.125 (46.483) Prec@5 76.875 (76.791) Epoch: [32][1150/11272] Time 0.892 (0.798) Data 0.002 (0.003) Loss 1.8260 (2.0994) Prec@1 50.625 (46.486) Prec@5 81.875 (76.792) Epoch: [32][1160/11272] Time 0.848 (0.798) Data 0.001 (0.003) Loss 2.2027 (2.0999) Prec@1 48.750 (46.479) Prec@5 73.125 (76.786) Epoch: [32][1170/11272] Time 0.733 (0.798) Data 0.002 (0.003) Loss 2.2646 (2.1000) Prec@1 42.500 (46.480) Prec@5 76.250 (76.791) Epoch: [32][1180/11272] Time 0.738 (0.798) Data 0.002 (0.003) Loss 2.1638 (2.0994) Prec@1 45.625 (46.484) Prec@5 73.750 (76.801) Epoch: [32][1190/11272] Time 0.846 (0.798) Data 0.002 (0.003) Loss 2.0014 (2.0991) Prec@1 49.375 (46.490) Prec@5 79.375 (76.814) Epoch: [32][1200/11272] Time 0.829 (0.798) Data 0.002 (0.003) Loss 2.2944 (2.1000) Prec@1 41.250 (46.474) Prec@5 73.750 (76.792) Epoch: [32][1210/11272] Time 0.733 (0.798) Data 0.002 (0.003) Loss 2.2786 (2.1009) Prec@1 42.500 (46.458) Prec@5 71.875 (76.773) Epoch: [32][1220/11272] Time 0.725 (0.798) Data 0.002 (0.003) Loss 2.1628 (2.1012) Prec@1 44.375 (46.443) Prec@5 76.875 (76.770) Epoch: [32][1230/11272] Time 0.872 (0.798) Data 0.002 (0.003) Loss 2.1156 (2.1015) Prec@1 51.875 (46.441) Prec@5 77.500 (76.774) Epoch: [32][1240/11272] Time 0.826 (0.798) Data 0.001 (0.003) Loss 2.4335 (2.1011) Prec@1 43.125 (46.451) Prec@5 70.625 (76.787) Epoch: [32][1250/11272] Time 0.727 (0.798) Data 0.002 (0.003) Loss 2.0843 (2.1016) Prec@1 46.250 (46.436) Prec@5 77.500 (76.778) Epoch: [32][1260/11272] Time 0.859 (0.798) Data 0.001 (0.003) Loss 1.9696 (2.1017) Prec@1 46.875 (46.434) Prec@5 76.250 (76.777) Epoch: [32][1270/11272] Time 0.881 (0.798) Data 0.002 (0.003) Loss 2.0435 (2.1021) Prec@1 50.625 (46.435) Prec@5 77.500 (76.776) Epoch: [32][1280/11272] Time 0.735 (0.798) Data 0.001 (0.003) Loss 1.9058 (2.1021) Prec@1 50.000 (46.438) Prec@5 79.375 (76.776) Epoch: [32][1290/11272] Time 0.729 (0.798) Data 0.002 (0.003) Loss 1.9323 (2.1021) Prec@1 50.000 (46.431) Prec@5 80.000 (76.773) Epoch: [32][1300/11272] Time 0.852 (0.798) Data 0.002 (0.003) Loss 2.1348 (2.1020) Prec@1 43.125 (46.425) Prec@5 79.375 (76.781) Epoch: [32][1310/11272] Time 0.838 (0.798) Data 0.002 (0.003) Loss 2.1072 (2.1023) Prec@1 48.125 (46.432) Prec@5 76.875 (76.779) Epoch: [32][1320/11272] Time 0.743 (0.798) Data 0.002 (0.003) Loss 2.3386 (2.1027) Prec@1 41.875 (46.413) Prec@5 72.500 (76.772) Epoch: [32][1330/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 2.0244 (2.1026) Prec@1 50.000 (46.411) Prec@5 79.375 (76.773) Epoch: [32][1340/11272] Time 0.855 (0.798) Data 0.002 (0.003) Loss 2.2384 (2.1027) Prec@1 44.375 (46.405) Prec@5 76.250 (76.779) Epoch: [32][1350/11272] Time 0.843 (0.798) Data 0.002 (0.003) Loss 2.0947 (2.1024) Prec@1 45.000 (46.414) Prec@5 76.250 (76.779) Epoch: [32][1360/11272] Time 0.705 (0.798) Data 0.001 (0.003) Loss 1.9715 (2.1019) Prec@1 48.125 (46.431) Prec@5 78.125 (76.789) Epoch: [32][1370/11272] Time 0.746 (0.797) Data 0.001 (0.003) Loss 1.8521 (2.1013) Prec@1 51.875 (46.438) Prec@5 79.375 (76.798) Epoch: [32][1380/11272] Time 0.826 (0.797) Data 0.002 (0.003) Loss 2.1405 (2.1010) Prec@1 49.375 (46.451) Prec@5 76.250 (76.798) Epoch: [32][1390/11272] Time 0.785 (0.797) Data 0.001 (0.003) Loss 1.7755 (2.1007) Prec@1 52.500 (46.447) Prec@5 82.500 (76.804) Epoch: [32][1400/11272] Time 0.757 (0.797) Data 0.002 (0.003) Loss 2.1005 (2.1002) Prec@1 45.000 (46.452) Prec@5 80.625 (76.819) Epoch: [32][1410/11272] Time 0.844 (0.797) Data 0.002 (0.003) Loss 2.1637 (2.1008) Prec@1 43.750 (46.440) Prec@5 75.000 (76.805) Epoch: [32][1420/11272] Time 0.841 (0.797) Data 0.002 (0.003) Loss 2.0633 (2.1008) Prec@1 50.000 (46.438) Prec@5 78.750 (76.806) Epoch: [32][1430/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 2.1382 (2.1011) Prec@1 48.125 (46.439) Prec@5 78.750 (76.801) Epoch: [32][1440/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 2.1783 (2.1014) Prec@1 42.500 (46.437) Prec@5 75.000 (76.788) Epoch: [32][1450/11272] Time 0.827 (0.797) Data 0.002 (0.003) Loss 2.0129 (2.1011) Prec@1 49.375 (46.444) Prec@5 80.000 (76.792) Epoch: [32][1460/11272] Time 0.841 (0.797) Data 0.002 (0.003) Loss 1.9425 (2.1010) Prec@1 49.375 (46.439) Prec@5 78.750 (76.786) Epoch: [32][1470/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.0944 (2.1003) Prec@1 46.875 (46.454) Prec@5 78.125 (76.800) Epoch: [32][1480/11272] Time 0.752 (0.797) Data 0.002 (0.003) Loss 2.3166 (2.1004) Prec@1 38.750 (46.447) Prec@5 72.500 (76.802) Epoch: [32][1490/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.3880 (2.1005) Prec@1 36.875 (46.438) Prec@5 73.750 (76.797) Epoch: [32][1500/11272] Time 0.848 (0.797) Data 0.002 (0.003) Loss 2.0008 (2.1008) Prec@1 52.500 (46.426) Prec@5 78.750 (76.799) Epoch: [32][1510/11272] Time 0.723 (0.797) Data 0.002 (0.003) Loss 2.1744 (2.1010) Prec@1 46.250 (46.418) Prec@5 74.375 (76.796) Epoch: [32][1520/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 1.9662 (2.1008) Prec@1 48.750 (46.429) Prec@5 80.000 (76.792) Epoch: [32][1530/11272] Time 0.852 (0.797) Data 0.002 (0.003) Loss 2.2642 (2.1011) Prec@1 43.125 (46.421) Prec@5 71.250 (76.789) Epoch: [32][1540/11272] Time 0.721 (0.797) Data 0.001 (0.003) Loss 2.1061 (2.1010) Prec@1 43.125 (46.420) Prec@5 73.750 (76.794) Epoch: [32][1550/11272] Time 0.727 (0.797) Data 0.002 (0.003) Loss 2.1882 (2.1014) Prec@1 44.375 (46.411) Prec@5 76.250 (76.786) Epoch: [32][1560/11272] Time 0.844 (0.797) Data 0.002 (0.003) Loss 2.2804 (2.1011) Prec@1 41.875 (46.416) Prec@5 76.875 (76.806) Epoch: [32][1570/11272] Time 0.873 (0.797) Data 0.002 (0.003) Loss 1.7157 (2.1009) Prec@1 55.625 (46.418) Prec@5 83.125 (76.815) Epoch: [32][1580/11272] Time 0.748 (0.797) Data 0.002 (0.003) Loss 2.0900 (2.1012) Prec@1 53.125 (46.418) Prec@5 75.625 (76.810) Epoch: [32][1590/11272] Time 0.750 (0.797) Data 0.001 (0.003) Loss 2.1441 (2.1009) Prec@1 46.875 (46.415) Prec@5 75.625 (76.810) Epoch: [32][1600/11272] Time 0.839 (0.797) Data 0.002 (0.003) Loss 1.9963 (2.1009) Prec@1 46.875 (46.413) Prec@5 79.375 (76.811) Epoch: [32][1610/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.2553 (2.1012) Prec@1 46.875 (46.404) Prec@5 75.000 (76.808) Epoch: [32][1620/11272] Time 0.762 (0.797) Data 0.002 (0.003) Loss 1.9134 (2.1012) Prec@1 47.500 (46.400) Prec@5 79.375 (76.811) Epoch: [32][1630/11272] Time 0.741 (0.797) Data 0.002 (0.003) Loss 2.0695 (2.1014) Prec@1 43.750 (46.392) Prec@5 78.125 (76.804) Epoch: [32][1640/11272] Time 0.902 (0.797) Data 0.002 (0.003) Loss 2.2418 (2.1018) Prec@1 44.375 (46.387) Prec@5 73.125 (76.800) Epoch: [32][1650/11272] Time 0.833 (0.797) Data 0.002 (0.003) Loss 2.1239 (2.1022) Prec@1 47.500 (46.384) Prec@5 75.625 (76.788) Epoch: [32][1660/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 2.2475 (2.1021) Prec@1 43.750 (46.386) Prec@5 75.000 (76.787) Epoch: [32][1670/11272] Time 0.871 (0.797) Data 0.002 (0.003) Loss 2.0205 (2.1022) Prec@1 52.500 (46.386) Prec@5 76.250 (76.789) Epoch: [32][1680/11272] Time 0.826 (0.797) Data 0.002 (0.003) Loss 2.1842 (2.1019) Prec@1 48.125 (46.393) Prec@5 75.625 (76.796) Epoch: [32][1690/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 2.0858 (2.1021) Prec@1 47.500 (46.393) Prec@5 78.125 (76.794) Epoch: [32][1700/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 2.0186 (2.1023) Prec@1 45.000 (46.393) Prec@5 77.500 (76.787) Epoch: [32][1710/11272] Time 0.851 (0.797) Data 0.001 (0.003) Loss 2.2020 (2.1026) Prec@1 40.625 (46.381) Prec@5 71.250 (76.773) Epoch: [32][1720/11272] Time 0.831 (0.797) Data 0.002 (0.003) Loss 2.3514 (2.1027) Prec@1 41.250 (46.381) Prec@5 70.000 (76.768) Epoch: [32][1730/11272] Time 0.751 (0.797) Data 0.002 (0.003) Loss 2.0419 (2.1026) Prec@1 53.125 (46.375) Prec@5 75.625 (76.774) Epoch: [32][1740/11272] Time 0.727 (0.797) Data 0.002 (0.003) Loss 2.1654 (2.1025) Prec@1 46.250 (46.378) Prec@5 71.250 (76.771) Epoch: [32][1750/11272] Time 0.829 (0.797) Data 0.001 (0.003) Loss 2.1595 (2.1022) Prec@1 48.125 (46.381) Prec@5 75.000 (76.778) Epoch: [32][1760/11272] Time 0.863 (0.797) Data 0.002 (0.003) Loss 2.3008 (2.1024) Prec@1 43.750 (46.386) Prec@5 71.250 (76.773) Epoch: [32][1770/11272] Time 0.748 (0.797) Data 0.001 (0.003) Loss 2.1152 (2.1022) Prec@1 43.750 (46.379) Prec@5 77.500 (76.779) Epoch: [32][1780/11272] Time 0.730 (0.797) Data 0.002 (0.003) Loss 2.2899 (2.1027) Prec@1 43.750 (46.362) Prec@5 71.250 (76.773) Epoch: [32][1790/11272] Time 0.881 (0.797) Data 0.002 (0.003) Loss 1.9686 (2.1023) Prec@1 42.500 (46.373) Prec@5 78.750 (76.775) Epoch: [32][1800/11272] Time 0.748 (0.797) Data 0.003 (0.003) Loss 2.2064 (2.1022) Prec@1 48.125 (46.383) Prec@5 72.500 (76.773) Epoch: [32][1810/11272] Time 0.748 (0.797) Data 0.002 (0.003) Loss 2.0730 (2.1020) Prec@1 44.375 (46.383) Prec@5 75.000 (76.772) Epoch: [32][1820/11272] Time 0.860 (0.797) Data 0.002 (0.003) Loss 1.9842 (2.1018) Prec@1 47.500 (46.385) Prec@5 76.250 (76.773) Epoch: [32][1830/11272] Time 0.828 (0.797) Data 0.002 (0.003) Loss 2.2204 (2.1020) Prec@1 40.000 (46.375) Prec@5 78.750 (76.772) Epoch: [32][1840/11272] Time 0.742 (0.797) Data 0.002 (0.003) Loss 2.0176 (2.1020) Prec@1 51.250 (46.379) Prec@5 78.125 (76.769) Epoch: [32][1850/11272] Time 0.734 (0.797) Data 0.002 (0.003) Loss 2.0974 (2.1019) Prec@1 48.750 (46.387) Prec@5 76.875 (76.774) Epoch: [32][1860/11272] Time 0.846 (0.797) Data 0.002 (0.003) Loss 2.1044 (2.1020) Prec@1 40.625 (46.381) Prec@5 79.375 (76.777) Epoch: [32][1870/11272] Time 0.828 (0.797) Data 0.002 (0.003) Loss 2.2918 (2.1018) Prec@1 45.000 (46.377) Prec@5 75.000 (76.785) Epoch: [32][1880/11272] Time 0.724 (0.797) Data 0.002 (0.003) Loss 2.0010 (2.1020) Prec@1 45.625 (46.369) Prec@5 79.375 (76.785) Epoch: [32][1890/11272] Time 0.729 (0.797) Data 0.002 (0.003) Loss 1.9965 (2.1020) Prec@1 49.375 (46.363) Prec@5 78.125 (76.790) Epoch: [32][1900/11272] Time 0.864 (0.797) Data 0.002 (0.003) Loss 2.2415 (2.1022) Prec@1 49.375 (46.358) Prec@5 75.000 (76.784) Epoch: [32][1910/11272] Time 0.842 (0.797) Data 0.002 (0.003) Loss 2.1756 (2.1023) Prec@1 44.375 (46.355) Prec@5 74.375 (76.779) Epoch: [32][1920/11272] Time 0.725 (0.797) Data 0.002 (0.003) Loss 2.2638 (2.1024) Prec@1 45.000 (46.355) Prec@5 76.875 (76.775) Epoch: [32][1930/11272] Time 0.825 (0.797) Data 0.001 (0.003) Loss 2.2085 (2.1027) Prec@1 43.750 (46.344) Prec@5 76.250 (76.771) Epoch: [32][1940/11272] Time 0.848 (0.797) Data 0.002 (0.003) Loss 2.3090 (2.1029) Prec@1 39.375 (46.335) Prec@5 72.500 (76.767) Epoch: [32][1950/11272] Time 0.734 (0.797) Data 0.002 (0.003) Loss 2.2877 (2.1032) Prec@1 48.125 (46.336) Prec@5 73.125 (76.765) Epoch: [32][1960/11272] Time 0.751 (0.797) Data 0.002 (0.003) Loss 2.3624 (2.1032) Prec@1 41.250 (46.338) Prec@5 72.500 (76.764) Epoch: [32][1970/11272] Time 0.856 (0.797) Data 0.002 (0.003) Loss 2.0350 (2.1029) Prec@1 50.000 (46.341) Prec@5 81.250 (76.773) Epoch: [32][1980/11272] Time 0.843 (0.797) Data 0.001 (0.003) Loss 2.2649 (2.1031) Prec@1 38.750 (46.340) Prec@5 76.875 (76.767) Epoch: [32][1990/11272] Time 0.731 (0.797) Data 0.002 (0.003) Loss 1.9213 (2.1034) Prec@1 44.375 (46.326) Prec@5 80.625 (76.763) Epoch: [32][2000/11272] Time 0.728 (0.797) Data 0.001 (0.003) Loss 2.1567 (2.1036) Prec@1 51.875 (46.325) Prec@5 73.125 (76.757) Epoch: [32][2010/11272] Time 0.809 (0.796) Data 0.001 (0.003) Loss 2.1354 (2.1039) Prec@1 45.000 (46.313) Prec@5 75.625 (76.751) Epoch: [32][2020/11272] Time 0.800 (0.796) Data 0.002 (0.003) Loss 2.2737 (2.1040) Prec@1 46.250 (46.314) Prec@5 75.000 (76.752) Epoch: [32][2030/11272] Time 0.731 (0.797) Data 0.001 (0.003) Loss 2.1055 (2.1036) Prec@1 48.750 (46.326) Prec@5 77.500 (76.761) Epoch: [32][2040/11272] Time 0.718 (0.797) Data 0.002 (0.003) Loss 2.2011 (2.1038) Prec@1 45.000 (46.322) Prec@5 70.625 (76.758) Epoch: [32][2050/11272] Time 0.832 (0.797) Data 0.001 (0.003) Loss 2.0821 (2.1039) Prec@1 45.625 (46.321) Prec@5 76.250 (76.757) Epoch: [32][2060/11272] Time 0.747 (0.797) Data 0.004 (0.003) Loss 1.9714 (2.1038) Prec@1 51.250 (46.326) Prec@5 80.000 (76.761) Epoch: [32][2070/11272] Time 0.788 (0.797) Data 0.002 (0.003) Loss 2.1512 (2.1036) Prec@1 41.875 (46.326) Prec@5 73.750 (76.762) Epoch: [32][2080/11272] Time 0.837 (0.797) Data 0.002 (0.003) Loss 1.9899 (2.1038) Prec@1 49.375 (46.324) Prec@5 78.125 (76.756) Epoch: [32][2090/11272] Time 0.848 (0.796) Data 0.002 (0.003) Loss 1.7984 (2.1037) Prec@1 55.625 (46.320) Prec@5 78.750 (76.756) Epoch: [32][2100/11272] Time 0.766 (0.796) Data 0.002 (0.003) Loss 1.9402 (2.1039) Prec@1 48.125 (46.308) Prec@5 79.375 (76.760) Epoch: [32][2110/11272] Time 0.734 (0.796) Data 0.002 (0.003) Loss 1.8493 (2.1035) Prec@1 50.625 (46.322) Prec@5 83.750 (76.763) Epoch: [32][2120/11272] Time 0.849 (0.796) Data 0.002 (0.003) Loss 2.0899 (2.1032) Prec@1 43.750 (46.328) Prec@5 76.875 (76.770) Epoch: [32][2130/11272] Time 0.834 (0.796) Data 0.002 (0.003) Loss 2.2454 (2.1034) Prec@1 49.375 (46.325) Prec@5 73.750 (76.771) Epoch: [32][2140/11272] Time 0.752 (0.796) Data 0.002 (0.003) Loss 2.1544 (2.1034) Prec@1 45.625 (46.325) Prec@5 76.875 (76.767) Epoch: [32][2150/11272] Time 0.753 (0.796) Data 0.002 (0.003) Loss 2.1199 (2.1032) Prec@1 44.375 (46.328) Prec@5 78.750 (76.772) Epoch: [32][2160/11272] Time 0.846 (0.796) Data 0.002 (0.003) Loss 2.2148 (2.1033) Prec@1 43.125 (46.324) Prec@5 74.375 (76.769) Epoch: [32][2170/11272] Time 0.835 (0.796) Data 0.002 (0.003) Loss 2.4230 (2.1038) Prec@1 41.875 (46.313) Prec@5 71.250 (76.763) Epoch: [32][2180/11272] Time 0.750 (0.796) Data 0.002 (0.003) Loss 2.0718 (2.1039) Prec@1 44.375 (46.305) Prec@5 74.375 (76.760) Epoch: [32][2190/11272] Time 0.834 (0.796) Data 0.002 (0.003) Loss 2.0175 (2.1038) Prec@1 48.125 (46.309) Prec@5 79.375 (76.765) Epoch: [32][2200/11272] Time 0.842 (0.796) Data 0.002 (0.003) Loss 2.1218 (2.1038) Prec@1 48.125 (46.311) Prec@5 78.125 (76.762) Epoch: [32][2210/11272] Time 0.725 (0.796) Data 0.001 (0.003) Loss 1.8509 (2.1037) Prec@1 53.750 (46.318) Prec@5 81.250 (76.765) Epoch: [32][2220/11272] Time 0.735 (0.796) Data 0.002 (0.003) Loss 2.2057 (2.1038) Prec@1 45.625 (46.320) Prec@5 75.000 (76.763) Epoch: [32][2230/11272] Time 0.872 (0.796) Data 0.002 (0.003) Loss 2.2615 (2.1040) Prec@1 45.625 (46.314) Prec@5 73.750 (76.756) Epoch: [32][2240/11272] Time 0.850 (0.796) Data 0.001 (0.003) Loss 2.0266 (2.1042) Prec@1 44.375 (46.313) Prec@5 81.250 (76.759) Epoch: [32][2250/11272] Time 0.728 (0.796) Data 0.002 (0.003) Loss 2.2484 (2.1048) Prec@1 46.875 (46.293) Prec@5 73.750 (76.752) Epoch: [32][2260/11272] Time 0.739 (0.796) Data 0.002 (0.003) Loss 2.0493 (2.1048) Prec@1 46.875 (46.291) Prec@5 75.000 (76.745) Epoch: [32][2270/11272] Time 0.855 (0.796) Data 0.001 (0.003) Loss 2.2307 (2.1048) Prec@1 41.875 (46.286) Prec@5 76.875 (76.748) Epoch: [32][2280/11272] Time 0.860 (0.796) Data 0.002 (0.003) Loss 2.0417 (2.1049) Prec@1 44.375 (46.283) Prec@5 76.875 (76.745) Epoch: [32][2290/11272] Time 0.760 (0.796) Data 0.002 (0.003) Loss 1.9170 (2.1046) Prec@1 51.875 (46.291) Prec@5 78.125 (76.744) Epoch: [32][2300/11272] Time 0.752 (0.796) Data 0.002 (0.003) Loss 2.1462 (2.1046) Prec@1 44.375 (46.293) Prec@5 72.500 (76.742) Epoch: [32][2310/11272] Time 0.879 (0.797) Data 0.002 (0.003) Loss 2.0423 (2.1046) Prec@1 43.750 (46.295) Prec@5 76.250 (76.738) Epoch: [32][2320/11272] Time 0.839 (0.797) Data 0.002 (0.003) Loss 1.9548 (2.1051) Prec@1 53.125 (46.284) Prec@5 80.000 (76.731) Epoch: [32][2330/11272] Time 0.723 (0.797) Data 0.001 (0.003) Loss 2.2289 (2.1050) Prec@1 45.000 (46.292) Prec@5 74.375 (76.731) Epoch: [32][2340/11272] Time 0.889 (0.797) Data 0.002 (0.003) Loss 2.1834 (2.1047) Prec@1 45.000 (46.293) Prec@5 73.750 (76.732) Epoch: [32][2350/11272] Time 0.832 (0.797) Data 0.002 (0.003) Loss 2.1051 (2.1053) Prec@1 47.500 (46.286) Prec@5 73.125 (76.719) Epoch: [32][2360/11272] Time 0.769 (0.797) Data 0.002 (0.003) Loss 1.9898 (2.1054) Prec@1 47.500 (46.283) Prec@5 76.875 (76.719) Epoch: [32][2370/11272] Time 0.754 (0.797) Data 0.002 (0.003) Loss 2.1652 (2.1053) Prec@1 41.875 (46.286) Prec@5 76.250 (76.721) Epoch: [32][2380/11272] Time 0.840 (0.797) Data 0.001 (0.003) Loss 2.2867 (2.1054) Prec@1 43.125 (46.283) Prec@5 75.000 (76.715) Epoch: [32][2390/11272] Time 0.837 (0.797) Data 0.002 (0.003) Loss 1.8873 (2.1052) Prec@1 51.875 (46.296) Prec@5 78.750 (76.716) Epoch: [32][2400/11272] Time 0.737 (0.797) Data 0.001 (0.003) Loss 2.2701 (2.1053) Prec@1 40.000 (46.293) Prec@5 73.125 (76.710) Epoch: [32][2410/11272] Time 0.747 (0.797) Data 0.001 (0.003) Loss 2.0272 (2.1052) Prec@1 48.750 (46.303) Prec@5 82.500 (76.719) Epoch: [32][2420/11272] Time 0.823 (0.797) Data 0.001 (0.003) Loss 2.2123 (2.1051) Prec@1 43.125 (46.304) Prec@5 71.875 (76.717) Epoch: [32][2430/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.1122 (2.1051) Prec@1 46.250 (46.307) Prec@5 76.875 (76.714) Epoch: [32][2440/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.8582 (2.1047) Prec@1 48.750 (46.316) Prec@5 78.750 (76.720) Epoch: [32][2450/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1263 (2.1048) Prec@1 42.500 (46.310) Prec@5 79.375 (76.717) Epoch: [32][2460/11272] Time 0.911 (0.797) Data 0.002 (0.002) Loss 1.9045 (2.1046) Prec@1 49.375 (46.311) Prec@5 82.500 (76.721) Epoch: [32][2470/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 2.2012 (2.1050) Prec@1 44.375 (46.304) Prec@5 75.000 (76.712) Epoch: [32][2480/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.9708 (2.1050) Prec@1 50.000 (46.304) Prec@5 75.000 (76.711) Epoch: [32][2490/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.1420 (2.1052) Prec@1 43.125 (46.308) Prec@5 76.250 (76.704) Epoch: [32][2500/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.9560 (2.1052) Prec@1 44.375 (46.310) Prec@5 79.375 (76.704) Epoch: [32][2510/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.3550 (2.1051) Prec@1 42.500 (46.309) Prec@5 68.750 (76.705) Epoch: [32][2520/11272] Time 0.787 (0.797) Data 0.002 (0.002) Loss 1.9743 (2.1051) Prec@1 45.625 (46.308) Prec@5 74.375 (76.698) Epoch: [32][2530/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 2.2888 (2.1052) Prec@1 44.375 (46.308) Prec@5 70.625 (76.700) Epoch: [32][2540/11272] Time 0.798 (0.797) Data 0.001 (0.002) Loss 2.1828 (2.1055) Prec@1 45.000 (46.302) Prec@5 75.000 (76.694) Epoch: [32][2550/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.2684 (2.1056) Prec@1 46.875 (46.308) Prec@5 74.375 (76.691) Epoch: [32][2560/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9597 (2.1057) Prec@1 45.000 (46.310) Prec@5 78.750 (76.686) Epoch: [32][2570/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1729 (2.1057) Prec@1 45.625 (46.312) Prec@5 76.250 (76.686) Epoch: [32][2580/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 1.9702 (2.1053) Prec@1 50.625 (46.323) Prec@5 80.000 (76.693) Epoch: [32][2590/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1595 (2.1053) Prec@1 43.750 (46.320) Prec@5 75.000 (76.694) Epoch: [32][2600/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0912 (2.1052) Prec@1 49.375 (46.327) Prec@5 78.125 (76.697) Epoch: [32][2610/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.0527 (2.1052) Prec@1 44.375 (46.321) Prec@5 81.875 (76.700) Epoch: [32][2620/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.0228 (2.1053) Prec@1 47.500 (46.321) Prec@5 75.000 (76.698) Epoch: [32][2630/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 2.1126 (2.1056) Prec@1 43.750 (46.313) Prec@5 78.125 (76.693) Epoch: [32][2640/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.2184 (2.1057) Prec@1 40.625 (46.304) Prec@5 76.250 (76.692) Epoch: [32][2650/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 2.0851 (2.1055) Prec@1 46.250 (46.309) Prec@5 78.125 (76.697) Epoch: [32][2660/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.2140 (2.1055) Prec@1 40.625 (46.311) Prec@5 76.875 (76.700) Epoch: [32][2670/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 1.9650 (2.1053) Prec@1 48.750 (46.312) Prec@5 80.625 (76.703) Epoch: [32][2680/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1343 (2.1052) Prec@1 48.125 (46.312) Prec@5 76.250 (76.702) Epoch: [32][2690/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.8614 (2.1052) Prec@1 55.000 (46.321) Prec@5 80.000 (76.701) Epoch: [32][2700/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9267 (2.1050) Prec@1 51.250 (46.328) Prec@5 76.250 (76.702) Epoch: [32][2710/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 1.9740 (2.1050) Prec@1 46.250 (46.325) Prec@5 78.125 (76.705) Epoch: [32][2720/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0788 (2.1050) Prec@1 50.625 (46.326) Prec@5 75.625 (76.703) Epoch: [32][2730/11272] Time 0.736 (0.797) Data 0.003 (0.002) Loss 1.9424 (2.1051) Prec@1 48.750 (46.327) Prec@5 83.125 (76.703) Epoch: [32][2740/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.1684 (2.1051) Prec@1 45.625 (46.325) Prec@5 75.625 (76.703) Epoch: [32][2750/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 1.8162 (2.1052) Prec@1 50.625 (46.322) Prec@5 80.625 (76.702) Epoch: [32][2760/11272] Time 0.922 (0.797) Data 0.002 (0.002) Loss 2.1605 (2.1054) Prec@1 47.500 (46.319) Prec@5 76.875 (76.699) Epoch: [32][2770/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.8840 (2.1051) Prec@1 52.500 (46.329) Prec@5 83.750 (76.706) Epoch: [32][2780/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1934 (2.1053) Prec@1 43.750 (46.323) Prec@5 76.250 (76.704) Epoch: [32][2790/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 2.1320 (2.1052) Prec@1 46.250 (46.325) Prec@5 75.000 (76.704) Epoch: [32][2800/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.1031 (2.1053) Prec@1 49.375 (46.321) Prec@5 75.625 (76.703) Epoch: [32][2810/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 1.9676 (2.1053) Prec@1 46.875 (46.326) Prec@5 79.375 (76.706) Epoch: [32][2820/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.1155 (2.1052) Prec@1 43.125 (46.326) Prec@5 77.500 (76.706) Epoch: [32][2830/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.1859 (2.1054) Prec@1 49.375 (46.322) Prec@5 76.250 (76.705) Epoch: [32][2840/11272] Time 0.894 (0.797) Data 0.002 (0.002) Loss 2.0158 (2.1054) Prec@1 46.875 (46.320) Prec@5 79.375 (76.705) Epoch: [32][2850/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.2875 (2.1053) Prec@1 46.250 (46.321) Prec@5 73.125 (76.709) Epoch: [32][2860/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.3848 (2.1057) Prec@1 42.500 (46.314) Prec@5 71.875 (76.702) Epoch: [32][2870/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.2209 (2.1058) Prec@1 44.375 (46.312) Prec@5 73.750 (76.702) Epoch: [32][2880/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1984 (2.1059) Prec@1 44.375 (46.308) Prec@5 75.000 (76.699) Epoch: [32][2890/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9753 (2.1059) Prec@1 50.625 (46.308) Prec@5 76.250 (76.698) Epoch: [32][2900/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.0146 (2.1058) Prec@1 46.250 (46.305) Prec@5 78.750 (76.700) Epoch: [32][2910/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 1.7834 (2.1056) Prec@1 51.875 (46.307) Prec@5 83.750 (76.699) Epoch: [32][2920/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.4087 (2.1055) Prec@1 41.875 (46.317) Prec@5 70.625 (76.705) Epoch: [32][2930/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.2261 (2.1056) Prec@1 41.250 (46.316) Prec@5 72.500 (76.698) Epoch: [32][2940/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2570 (2.1060) Prec@1 42.500 (46.302) Prec@5 75.000 (76.696) Epoch: [32][2950/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0006 (2.1057) Prec@1 45.000 (46.306) Prec@5 81.250 (76.703) Epoch: [32][2960/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1985 (2.1057) Prec@1 46.250 (46.300) Prec@5 73.125 (76.705) Epoch: [32][2970/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.3085 (2.1055) Prec@1 42.500 (46.302) Prec@5 71.875 (76.709) Epoch: [32][2980/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.1436 (2.1056) Prec@1 46.250 (46.304) Prec@5 74.375 (76.707) Epoch: [32][2990/11272] Time 0.756 (0.797) Data 0.003 (0.002) Loss 2.2328 (2.1056) Prec@1 41.875 (46.310) Prec@5 77.500 (76.706) Epoch: [32][3000/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 1.9300 (2.1053) Prec@1 48.750 (46.317) Prec@5 80.000 (76.713) Epoch: [32][3010/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.7557 (2.1051) Prec@1 50.625 (46.320) Prec@5 85.000 (76.719) Epoch: [32][3020/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1873 (2.1051) Prec@1 40.625 (46.321) Prec@5 73.125 (76.720) Epoch: [32][3030/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.8725 (2.1052) Prec@1 54.375 (46.319) Prec@5 78.750 (76.721) Epoch: [32][3040/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 1.8450 (2.1049) Prec@1 53.750 (46.326) Prec@5 80.000 (76.725) Epoch: [32][3050/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9989 (2.1050) Prec@1 46.875 (46.323) Prec@5 78.125 (76.726) Epoch: [32][3060/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 1.9780 (2.1051) Prec@1 50.000 (46.323) Prec@5 76.875 (76.720) Epoch: [32][3070/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 1.9352 (2.1051) Prec@1 43.125 (46.322) Prec@5 80.000 (76.725) Epoch: [32][3080/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1146 (2.1055) Prec@1 50.000 (46.316) Prec@5 76.250 (76.715) Epoch: [32][3090/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.1270 (2.1058) Prec@1 44.375 (46.314) Prec@5 79.375 (76.712) Epoch: [32][3100/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 1.9349 (2.1058) Prec@1 51.250 (46.312) Prec@5 76.875 (76.711) Epoch: [32][3110/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.2917 (2.1060) Prec@1 41.875 (46.304) Prec@5 73.125 (76.710) Epoch: [32][3120/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.2414 (2.1060) Prec@1 44.375 (46.304) Prec@5 76.875 (76.711) Epoch: [32][3130/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9217 (2.1058) Prec@1 49.375 (46.307) Prec@5 78.125 (76.711) Epoch: [32][3140/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.0705 (2.1058) Prec@1 46.250 (46.306) Prec@5 76.250 (76.710) Epoch: [32][3150/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2165 (2.1058) Prec@1 45.625 (46.306) Prec@5 77.500 (76.710) Epoch: [32][3160/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.1041 (2.1059) Prec@1 49.375 (46.305) Prec@5 79.375 (76.708) Epoch: [32][3170/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9289 (2.1058) Prec@1 50.625 (46.307) Prec@5 81.250 (76.711) Epoch: [32][3180/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.8911 (2.1056) Prec@1 53.125 (46.305) Prec@5 79.375 (76.714) Epoch: [32][3190/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.3089 (2.1057) Prec@1 41.250 (46.303) Prec@5 71.250 (76.713) Epoch: [32][3200/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2343 (2.1058) Prec@1 43.125 (46.302) Prec@5 78.750 (76.712) Epoch: [32][3210/11272] Time 0.813 (0.797) Data 0.002 (0.002) Loss 2.3037 (2.1058) Prec@1 40.000 (46.304) Prec@5 72.500 (76.714) Epoch: [32][3220/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2249 (2.1059) Prec@1 39.375 (46.298) Prec@5 76.875 (76.715) Epoch: [32][3230/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.1989 (2.1062) Prec@1 41.875 (46.294) Prec@5 74.375 (76.712) Epoch: [32][3240/11272] Time 0.867 (0.797) Data 0.001 (0.002) Loss 2.0667 (2.1062) Prec@1 43.750 (46.288) Prec@5 79.375 (76.713) Epoch: [32][3250/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 2.2061 (2.1061) Prec@1 45.625 (46.290) Prec@5 73.125 (76.712) Epoch: [32][3260/11272] Time 0.770 (0.797) Data 0.002 (0.002) Loss 2.1045 (2.1061) Prec@1 45.000 (46.288) Prec@5 76.250 (76.716) Epoch: [32][3270/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.2757 (2.1060) Prec@1 44.375 (46.294) Prec@5 75.625 (76.719) Epoch: [32][3280/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 1.9973 (2.1060) Prec@1 45.000 (46.296) Prec@5 81.250 (76.723) Epoch: [32][3290/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.2468 (2.1060) Prec@1 45.625 (46.290) Prec@5 71.875 (76.723) Epoch: [32][3300/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1348 (2.1060) Prec@1 49.375 (46.291) Prec@5 76.250 (76.722) Epoch: [32][3310/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.9668 (2.1060) Prec@1 47.500 (46.293) Prec@5 79.375 (76.721) Epoch: [32][3320/11272] Time 0.898 (0.797) Data 0.002 (0.002) Loss 2.3295 (2.1062) Prec@1 44.375 (46.287) Prec@5 73.750 (76.717) Epoch: [32][3330/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9258 (2.1062) Prec@1 48.750 (46.285) Prec@5 77.500 (76.714) Epoch: [32][3340/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9144 (2.1063) Prec@1 49.375 (46.282) Prec@5 76.875 (76.712) Epoch: [32][3350/11272] Time 0.849 (0.797) Data 0.001 (0.002) Loss 1.8494 (2.1062) Prec@1 51.875 (46.285) Prec@5 82.500 (76.714) Epoch: [32][3360/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 2.2310 (2.1063) Prec@1 47.500 (46.285) Prec@5 74.375 (76.712) Epoch: [32][3370/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.2684 (2.1063) Prec@1 41.250 (46.283) Prec@5 75.000 (76.713) Epoch: [32][3380/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.4398 (2.1064) Prec@1 38.750 (46.285) Prec@5 72.500 (76.714) Epoch: [32][3390/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.4450 (2.1066) Prec@1 42.500 (46.284) Prec@5 70.000 (76.713) Epoch: [32][3400/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.8533 (2.1064) Prec@1 52.500 (46.286) Prec@5 80.000 (76.718) Epoch: [32][3410/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.3317 (2.1063) Prec@1 41.250 (46.293) Prec@5 71.875 (76.723) Epoch: [32][3420/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 2.3523 (2.1063) Prec@1 40.000 (46.295) Prec@5 73.125 (76.727) Epoch: [32][3430/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.1680 (2.1062) Prec@1 46.250 (46.299) Prec@5 73.750 (76.730) Epoch: [32][3440/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0585 (2.1062) Prec@1 48.125 (46.304) Prec@5 77.500 (76.732) Epoch: [32][3450/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.0624 (2.1061) Prec@1 46.250 (46.310) Prec@5 82.500 (76.735) Epoch: [32][3460/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 1.8977 (2.1062) Prec@1 49.375 (46.308) Prec@5 79.375 (76.731) Epoch: [32][3470/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0467 (2.1059) Prec@1 45.625 (46.315) Prec@5 79.375 (76.734) Epoch: [32][3480/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.2134 (2.1058) Prec@1 42.500 (46.319) Prec@5 71.250 (76.734) Epoch: [32][3490/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 2.2531 (2.1059) Prec@1 41.250 (46.318) Prec@5 73.750 (76.732) Epoch: [32][3500/11272] Time 0.860 (0.796) Data 0.002 (0.002) Loss 1.9499 (2.1058) Prec@1 51.250 (46.317) Prec@5 80.000 (76.733) Epoch: [32][3510/11272] Time 0.891 (0.797) Data 0.002 (0.002) Loss 1.9542 (2.1059) Prec@1 51.250 (46.319) Prec@5 78.750 (76.731) Epoch: [32][3520/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0464 (2.1060) Prec@1 47.500 (46.317) Prec@5 77.500 (76.728) Epoch: [32][3530/11272] Time 0.798 (0.797) Data 0.002 (0.002) Loss 2.3131 (2.1060) Prec@1 40.625 (46.315) Prec@5 73.125 (76.726) Epoch: [32][3540/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 2.1096 (2.1061) Prec@1 43.750 (46.313) Prec@5 76.250 (76.726) Epoch: [32][3550/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1878 (2.1064) Prec@1 43.125 (46.305) Prec@5 71.875 (76.722) Epoch: [32][3560/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.1835 (2.1064) Prec@1 42.500 (46.308) Prec@5 76.250 (76.724) Epoch: [32][3570/11272] Time 0.864 (0.796) Data 0.002 (0.002) Loss 2.0197 (2.1062) Prec@1 47.500 (46.310) Prec@5 80.625 (76.728) Epoch: [32][3580/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.8313 (2.1060) Prec@1 53.750 (46.314) Prec@5 81.875 (76.732) Epoch: [32][3590/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 2.1291 (2.1062) Prec@1 45.625 (46.311) Prec@5 75.000 (76.729) Epoch: [32][3600/11272] Time 0.808 (0.797) Data 0.002 (0.002) Loss 2.3015 (2.1062) Prec@1 45.000 (46.311) Prec@5 72.500 (76.725) Epoch: [32][3610/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.2708 (2.1063) Prec@1 45.000 (46.313) Prec@5 75.625 (76.720) Epoch: [32][3620/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2535 (2.1063) Prec@1 39.375 (46.314) Prec@5 73.750 (76.721) Epoch: [32][3630/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.2258 (2.1062) Prec@1 43.125 (46.312) Prec@5 75.625 (76.722) Epoch: [32][3640/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.2902 (2.1062) Prec@1 43.125 (46.307) Prec@5 71.875 (76.721) Epoch: [32][3650/11272] Time 0.910 (0.797) Data 0.002 (0.002) Loss 2.2620 (2.1062) Prec@1 43.125 (46.312) Prec@5 74.375 (76.717) Epoch: [32][3660/11272] Time 0.740 (0.797) Data 0.003 (0.002) Loss 1.8768 (2.1061) Prec@1 48.125 (46.312) Prec@5 82.500 (76.721) Epoch: [32][3670/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.2596 (2.1063) Prec@1 45.000 (46.307) Prec@5 71.250 (76.717) Epoch: [32][3680/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.3080 (2.1065) Prec@1 46.250 (46.305) Prec@5 75.625 (76.715) Epoch: [32][3690/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0955 (2.1063) Prec@1 47.500 (46.310) Prec@5 77.500 (76.718) Epoch: [32][3700/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9597 (2.1061) Prec@1 50.625 (46.311) Prec@5 75.625 (76.724) Epoch: [32][3710/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1203 (2.1061) Prec@1 48.125 (46.309) Prec@5 76.250 (76.722) Epoch: [32][3720/11272] Time 0.879 (0.797) Data 0.001 (0.002) Loss 1.9382 (2.1062) Prec@1 47.500 (46.304) Prec@5 76.875 (76.721) Epoch: [32][3730/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.7516 (2.1063) Prec@1 53.125 (46.302) Prec@5 84.375 (76.721) Epoch: [32][3740/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0765 (2.1062) Prec@1 45.625 (46.302) Prec@5 76.875 (76.725) Epoch: [32][3750/11272] Time 0.717 (0.797) Data 0.001 (0.002) Loss 2.0569 (2.1060) Prec@1 47.500 (46.304) Prec@5 78.125 (76.726) Epoch: [32][3760/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0101 (2.1060) Prec@1 49.375 (46.306) Prec@5 81.250 (76.730) Epoch: [32][3770/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.8580 (2.1060) Prec@1 53.125 (46.306) Prec@5 82.500 (76.729) Epoch: [32][3780/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.4794 (2.1062) Prec@1 36.875 (46.302) Prec@5 71.875 (76.727) Epoch: [32][3790/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 2.1130 (2.1063) Prec@1 51.250 (46.301) Prec@5 75.000 (76.727) Epoch: [32][3800/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.1670 (2.1062) Prec@1 46.875 (46.299) Prec@5 76.875 (76.732) Epoch: [32][3810/11272] Time 0.767 (0.797) Data 0.001 (0.002) Loss 2.2634 (2.1063) Prec@1 47.500 (46.296) Prec@5 73.125 (76.730) Epoch: [32][3820/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.9043 (2.1060) Prec@1 50.625 (46.302) Prec@5 81.250 (76.733) Epoch: [32][3830/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2502 (2.1062) Prec@1 40.000 (46.296) Prec@5 77.500 (76.732) Epoch: [32][3840/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9325 (2.1061) Prec@1 53.125 (46.299) Prec@5 76.875 (76.734) Epoch: [32][3850/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1875 (2.1061) Prec@1 43.125 (46.296) Prec@5 75.625 (76.734) Epoch: [32][3860/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 1.9550 (2.1060) Prec@1 47.500 (46.296) Prec@5 79.375 (76.738) Epoch: [32][3870/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 2.2162 (2.1064) Prec@1 43.125 (46.286) Prec@5 73.125 (76.729) Epoch: [32][3880/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.1186 (2.1064) Prec@1 48.750 (46.287) Prec@5 77.500 (76.731) Epoch: [32][3890/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.3239 (2.1063) Prec@1 47.500 (46.289) Prec@5 73.125 (76.732) Epoch: [32][3900/11272] Time 0.778 (0.797) Data 0.002 (0.002) Loss 2.3347 (2.1064) Prec@1 42.500 (46.285) Prec@5 73.125 (76.729) Epoch: [32][3910/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2022 (2.1062) Prec@1 40.000 (46.286) Prec@5 71.875 (76.731) Epoch: [32][3920/11272] Time 0.727 (0.797) Data 0.003 (0.002) Loss 2.2506 (2.1061) Prec@1 48.125 (46.290) Prec@5 71.875 (76.732) Epoch: [32][3930/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.2532 (2.1062) Prec@1 43.750 (46.292) Prec@5 76.250 (76.731) Epoch: [32][3940/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.1364 (2.1060) Prec@1 41.875 (46.292) Prec@5 77.500 (76.735) Epoch: [32][3950/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.2646 (2.1062) Prec@1 45.000 (46.290) Prec@5 77.500 (76.733) Epoch: [32][3960/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.2219 (2.1065) Prec@1 42.500 (46.281) Prec@5 73.750 (76.727) Epoch: [32][3970/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.2479 (2.1065) Prec@1 43.125 (46.279) Prec@5 71.250 (76.725) Epoch: [32][3980/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.0923 (2.1064) Prec@1 49.375 (46.282) Prec@5 75.625 (76.730) Epoch: [32][3990/11272] Time 0.863 (0.797) Data 0.001 (0.002) Loss 2.0100 (2.1063) Prec@1 46.250 (46.281) Prec@5 81.250 (76.731) Epoch: [32][4000/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.3070 (2.1062) Prec@1 41.875 (46.279) Prec@5 74.375 (76.730) Epoch: [32][4010/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1480 (2.1062) Prec@1 44.375 (46.281) Prec@5 75.000 (76.732) Epoch: [32][4020/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9194 (2.1063) Prec@1 50.625 (46.279) Prec@5 80.000 (76.730) Epoch: [32][4030/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.9720 (2.1064) Prec@1 51.875 (46.275) Prec@5 80.625 (76.729) Epoch: [32][4040/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1982 (2.1066) Prec@1 46.250 (46.271) Prec@5 76.875 (76.728) Epoch: [32][4050/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.8470 (2.1067) Prec@1 51.250 (46.268) Prec@5 81.250 (76.729) Epoch: [32][4060/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 1.7277 (2.1066) Prec@1 57.500 (46.270) Prec@5 85.000 (76.730) Epoch: [32][4070/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.9916 (2.1067) Prec@1 51.250 (46.270) Prec@5 77.500 (76.732) Epoch: [32][4080/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 2.2085 (2.1069) Prec@1 47.500 (46.260) Prec@5 76.875 (76.730) Epoch: [32][4090/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.9958 (2.1069) Prec@1 48.125 (46.261) Prec@5 76.250 (76.728) Epoch: [32][4100/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.0750 (2.1069) Prec@1 46.250 (46.257) Prec@5 79.375 (76.729) Epoch: [32][4110/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9827 (2.1071) Prec@1 45.000 (46.255) Prec@5 81.250 (76.724) Epoch: [32][4120/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1669 (2.1071) Prec@1 47.500 (46.256) Prec@5 76.875 (76.724) Epoch: [32][4130/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 1.9288 (2.1072) Prec@1 54.375 (46.254) Prec@5 76.875 (76.720) Epoch: [32][4140/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.9069 (2.1073) Prec@1 48.125 (46.249) Prec@5 82.500 (76.721) Epoch: [32][4150/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9531 (2.1074) Prec@1 46.250 (46.248) Prec@5 81.875 (76.721) Epoch: [32][4160/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9129 (2.1073) Prec@1 48.750 (46.248) Prec@5 82.500 (76.726) Epoch: [32][4170/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9326 (2.1074) Prec@1 52.500 (46.248) Prec@5 80.625 (76.725) Epoch: [32][4180/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.9995 (2.1075) Prec@1 51.250 (46.249) Prec@5 81.250 (76.726) Epoch: [32][4190/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.1375 (2.1074) Prec@1 42.500 (46.247) Prec@5 76.250 (76.726) Epoch: [32][4200/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9835 (2.1074) Prec@1 48.750 (46.245) Prec@5 77.500 (76.727) Epoch: [32][4210/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0846 (2.1072) Prec@1 50.625 (46.249) Prec@5 76.875 (76.732) Epoch: [32][4220/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9118 (2.1072) Prec@1 51.250 (46.252) Prec@5 83.125 (76.730) Epoch: [32][4230/11272] Time 0.803 (0.797) Data 0.002 (0.002) Loss 2.0407 (2.1072) Prec@1 44.375 (46.251) Prec@5 76.875 (76.731) Epoch: [32][4240/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 2.0734 (2.1071) Prec@1 45.625 (46.256) Prec@5 76.250 (76.731) Epoch: [32][4250/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.9460 (2.1070) Prec@1 49.375 (46.259) Prec@5 84.375 (76.735) Epoch: [32][4260/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.2727 (2.1069) Prec@1 43.125 (46.260) Prec@5 75.625 (76.734) Epoch: [32][4270/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1376 (2.1069) Prec@1 40.000 (46.260) Prec@5 78.125 (76.733) Epoch: [32][4280/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0375 (2.1069) Prec@1 48.750 (46.261) Prec@5 78.750 (76.731) Epoch: [32][4290/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.1407 (2.1070) Prec@1 43.750 (46.264) Prec@5 74.375 (76.730) Epoch: [32][4300/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 1.9585 (2.1068) Prec@1 48.750 (46.268) Prec@5 80.000 (76.737) Epoch: [32][4310/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.8991 (2.1069) Prec@1 46.875 (46.266) Prec@5 79.375 (76.734) Epoch: [32][4320/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.8063 (2.1070) Prec@1 55.000 (46.270) Prec@5 81.875 (76.733) Epoch: [32][4330/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.3196 (2.1069) Prec@1 42.500 (46.267) Prec@5 73.125 (76.733) Epoch: [32][4340/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0156 (2.1070) Prec@1 51.250 (46.268) Prec@5 76.875 (76.734) Epoch: [32][4350/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0435 (2.1071) Prec@1 50.000 (46.268) Prec@5 79.375 (76.733) Epoch: [32][4360/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.2425 (2.1071) Prec@1 41.875 (46.272) Prec@5 76.875 (76.734) Epoch: [32][4370/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.8867 (2.1070) Prec@1 51.250 (46.272) Prec@5 79.375 (76.735) Epoch: [32][4380/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.2785 (2.1070) Prec@1 40.000 (46.271) Prec@5 76.250 (76.734) Epoch: [32][4390/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.2371 (2.1069) Prec@1 47.500 (46.273) Prec@5 75.000 (76.734) Epoch: [32][4400/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1415 (2.1071) Prec@1 48.750 (46.271) Prec@5 75.000 (76.733) Epoch: [32][4410/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 2.1280 (2.1072) Prec@1 41.875 (46.269) Prec@5 76.875 (76.730) Epoch: [32][4420/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1539 (2.1073) Prec@1 45.000 (46.269) Prec@5 78.125 (76.728) Epoch: [32][4430/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.1190 (2.1073) Prec@1 47.500 (46.267) Prec@5 78.125 (76.726) Epoch: [32][4440/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 1.9554 (2.1074) Prec@1 44.375 (46.266) Prec@5 84.375 (76.724) Epoch: [32][4450/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0887 (2.1073) Prec@1 48.750 (46.267) Prec@5 79.375 (76.725) Epoch: [32][4460/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 1.9238 (2.1072) Prec@1 53.750 (46.270) Prec@5 77.500 (76.726) Epoch: [32][4470/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0312 (2.1073) Prec@1 43.125 (46.263) Prec@5 78.125 (76.725) Epoch: [32][4480/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9483 (2.1074) Prec@1 50.625 (46.261) Prec@5 81.875 (76.723) Epoch: [32][4490/11272] Time 0.759 (0.797) Data 0.001 (0.002) Loss 2.0958 (2.1074) Prec@1 45.000 (46.262) Prec@5 76.250 (76.722) Epoch: [32][4500/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9921 (2.1074) Prec@1 47.500 (46.262) Prec@5 77.500 (76.721) Epoch: [32][4510/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.3611 (2.1074) Prec@1 40.000 (46.261) Prec@5 73.750 (76.722) Epoch: [32][4520/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.2700 (2.1076) Prec@1 41.875 (46.257) Prec@5 71.250 (76.718) Epoch: [32][4530/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.9542 (2.1075) Prec@1 50.000 (46.258) Prec@5 81.250 (76.724) Epoch: [32][4540/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.1970 (2.1076) Prec@1 48.750 (46.258) Prec@5 76.875 (76.723) Epoch: [32][4550/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 2.0910 (2.1077) Prec@1 48.750 (46.251) Prec@5 75.625 (76.721) Epoch: [32][4560/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.2270 (2.1077) Prec@1 43.750 (46.252) Prec@5 75.000 (76.722) Epoch: [32][4570/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.9750 (2.1077) Prec@1 47.500 (46.248) Prec@5 78.750 (76.720) Epoch: [32][4580/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.0647 (2.1077) Prec@1 47.500 (46.249) Prec@5 79.375 (76.719) Epoch: [32][4590/11272] Time 0.723 (0.797) Data 0.003 (0.002) Loss 1.9902 (2.1077) Prec@1 48.125 (46.249) Prec@5 79.375 (76.718) Epoch: [32][4600/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.8917 (2.1078) Prec@1 51.875 (46.249) Prec@5 81.250 (76.718) Epoch: [32][4610/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1197 (2.1079) Prec@1 46.875 (46.246) Prec@5 75.000 (76.715) Epoch: [32][4620/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 1.9328 (2.1079) Prec@1 48.750 (46.248) Prec@5 75.000 (76.714) Epoch: [32][4630/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2454 (2.1080) Prec@1 45.000 (46.248) Prec@5 75.625 (76.711) Epoch: [32][4640/11272] Time 0.713 (0.797) Data 0.002 (0.002) Loss 2.1716 (2.1081) Prec@1 44.375 (46.247) Prec@5 74.375 (76.711) Epoch: [32][4650/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.3407 (2.1082) Prec@1 39.375 (46.245) Prec@5 72.500 (76.709) Epoch: [32][4660/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.2586 (2.1082) Prec@1 46.250 (46.246) Prec@5 68.125 (76.709) Epoch: [32][4670/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2715 (2.1081) Prec@1 41.250 (46.247) Prec@5 73.750 (76.708) Epoch: [32][4680/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.0114 (2.1080) Prec@1 53.750 (46.249) Prec@5 78.125 (76.713) Epoch: [32][4690/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9236 (2.1079) Prec@1 43.125 (46.251) Prec@5 81.250 (76.717) Epoch: [32][4700/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.8681 (2.1079) Prec@1 48.125 (46.253) Prec@5 81.875 (76.717) Epoch: [32][4710/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.1103 (2.1080) Prec@1 50.000 (46.252) Prec@5 73.750 (76.716) Epoch: [32][4720/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0803 (2.1080) Prec@1 45.000 (46.252) Prec@5 78.125 (76.713) Epoch: [32][4730/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 1.9519 (2.1082) Prec@1 55.000 (46.251) Prec@5 77.500 (76.710) Epoch: [32][4740/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 2.0033 (2.1082) Prec@1 43.750 (46.250) Prec@5 78.125 (76.707) Epoch: [32][4750/11272] Time 0.799 (0.797) Data 0.002 (0.002) Loss 2.3056 (2.1082) Prec@1 42.500 (46.250) Prec@5 70.000 (76.706) Epoch: [32][4760/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.1244 (2.1082) Prec@1 43.125 (46.251) Prec@5 76.875 (76.704) Epoch: [32][4770/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2748 (2.1082) Prec@1 38.125 (46.247) Prec@5 75.000 (76.704) Epoch: [32][4780/11272] Time 0.778 (0.797) Data 0.002 (0.002) Loss 2.1410 (2.1082) Prec@1 46.875 (46.248) Prec@5 75.625 (76.705) Epoch: [32][4790/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0169 (2.1083) Prec@1 47.500 (46.245) Prec@5 80.000 (76.702) Epoch: [32][4800/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.8750 (2.1082) Prec@1 55.000 (46.246) Prec@5 80.000 (76.703) Epoch: [32][4810/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.1762 (2.1082) Prec@1 38.125 (46.247) Prec@5 74.375 (76.700) Epoch: [32][4820/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.1991 (2.1083) Prec@1 43.125 (46.245) Prec@5 75.000 (76.697) Epoch: [32][4830/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.2363 (2.1083) Prec@1 40.625 (46.246) Prec@5 73.750 (76.699) Epoch: [32][4840/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.2558 (2.1083) Prec@1 41.875 (46.243) Prec@5 73.750 (76.698) Epoch: [32][4850/11272] Time 0.746 (0.797) Data 0.003 (0.002) Loss 2.4174 (2.1083) Prec@1 39.375 (46.241) Prec@5 70.000 (76.700) Epoch: [32][4860/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.2487 (2.1083) Prec@1 40.625 (46.245) Prec@5 76.875 (76.702) Epoch: [32][4870/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 2.1152 (2.1083) Prec@1 44.375 (46.242) Prec@5 76.875 (76.702) Epoch: [32][4880/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.2253 (2.1083) Prec@1 41.875 (46.242) Prec@5 75.000 (76.705) Epoch: [32][4890/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.0925 (2.1084) Prec@1 38.750 (46.238) Prec@5 78.750 (76.701) Epoch: [32][4900/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 1.8288 (2.1083) Prec@1 52.500 (46.239) Prec@5 83.125 (76.701) Epoch: [32][4910/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.9273 (2.1082) Prec@1 48.125 (46.240) Prec@5 80.625 (76.705) Epoch: [32][4920/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9646 (2.1082) Prec@1 50.625 (46.242) Prec@5 79.375 (76.706) Epoch: [32][4930/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.1381 (2.1083) Prec@1 43.125 (46.241) Prec@5 72.500 (76.705) Epoch: [32][4940/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.2675 (2.1086) Prec@1 45.625 (46.237) Prec@5 76.250 (76.699) Epoch: [32][4950/11272] Time 0.798 (0.797) Data 0.001 (0.002) Loss 1.8974 (2.1086) Prec@1 47.500 (46.237) Prec@5 77.500 (76.695) Epoch: [32][4960/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.2133 (2.1087) Prec@1 42.500 (46.239) Prec@5 75.625 (76.692) Epoch: [32][4970/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.0916 (2.1086) Prec@1 51.875 (46.241) Prec@5 80.000 (76.695) Epoch: [32][4980/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.1510 (2.1086) Prec@1 48.125 (46.243) Prec@5 73.125 (76.693) Epoch: [32][4990/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.0861 (2.1086) Prec@1 46.875 (46.242) Prec@5 76.875 (76.691) Epoch: [32][5000/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.0383 (2.1087) Prec@1 42.500 (46.239) Prec@5 78.750 (76.689) Epoch: [32][5010/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.8964 (2.1084) Prec@1 49.375 (46.246) Prec@5 82.500 (76.693) Epoch: [32][5020/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0578 (2.1083) Prec@1 51.875 (46.250) Prec@5 78.125 (76.696) Epoch: [32][5030/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9564 (2.1082) Prec@1 44.375 (46.254) Prec@5 79.375 (76.696) Epoch: [32][5040/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9928 (2.1082) Prec@1 48.750 (46.253) Prec@5 80.625 (76.696) Epoch: [32][5050/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.1251 (2.1084) Prec@1 45.000 (46.249) Prec@5 78.750 (76.694) Epoch: [32][5060/11272] Time 0.865 (0.797) Data 0.001 (0.002) Loss 2.1446 (2.1084) Prec@1 48.125 (46.249) Prec@5 75.000 (76.693) Epoch: [32][5070/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 1.9871 (2.1084) Prec@1 45.625 (46.251) Prec@5 79.375 (76.694) Epoch: [32][5080/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.2394 (2.1085) Prec@1 43.750 (46.248) Prec@5 76.875 (76.694) Epoch: [32][5090/11272] Time 0.789 (0.797) Data 0.002 (0.002) Loss 2.0284 (2.1085) Prec@1 46.875 (46.249) Prec@5 80.000 (76.693) Epoch: [32][5100/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.1835 (2.1084) Prec@1 47.500 (46.250) Prec@5 72.500 (76.695) Epoch: [32][5110/11272] Time 0.915 (0.797) Data 0.002 (0.002) Loss 2.0754 (2.1085) Prec@1 47.500 (46.247) Prec@5 74.375 (76.694) Epoch: [32][5120/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.0801 (2.1085) Prec@1 46.875 (46.250) Prec@5 73.750 (76.693) Epoch: [32][5130/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.9081 (2.1084) Prec@1 44.375 (46.252) Prec@5 82.500 (76.693) Epoch: [32][5140/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 1.9845 (2.1082) Prec@1 50.000 (46.259) Prec@5 82.500 (76.696) Epoch: [32][5150/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0186 (2.1080) Prec@1 48.125 (46.263) Prec@5 76.250 (76.701) Epoch: [32][5160/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.8951 (2.1080) Prec@1 51.250 (46.262) Prec@5 78.750 (76.699) Epoch: [32][5170/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.3072 (2.1081) Prec@1 44.375 (46.262) Prec@5 71.250 (76.697) Epoch: [32][5180/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1140 (2.1081) Prec@1 46.875 (46.258) Prec@5 76.875 (76.695) Epoch: [32][5190/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2434 (2.1083) Prec@1 43.125 (46.257) Prec@5 73.125 (76.691) Epoch: [32][5200/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.0426 (2.1083) Prec@1 48.125 (46.254) Prec@5 75.625 (76.691) Epoch: [32][5210/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1889 (2.1084) Prec@1 41.250 (46.249) Prec@5 78.750 (76.692) Epoch: [32][5220/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.8770 (2.1084) Prec@1 52.500 (46.249) Prec@5 80.625 (76.691) Epoch: [32][5230/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0527 (2.1085) Prec@1 47.500 (46.247) Prec@5 78.125 (76.690) Epoch: [32][5240/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.1040 (2.1085) Prec@1 48.125 (46.249) Prec@5 75.000 (76.688) Epoch: [32][5250/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 2.2077 (2.1084) Prec@1 47.500 (46.249) Prec@5 76.250 (76.687) Epoch: [32][5260/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0519 (2.1084) Prec@1 46.250 (46.248) Prec@5 78.125 (76.688) Epoch: [32][5270/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 1.9255 (2.1083) Prec@1 52.500 (46.252) Prec@5 78.750 (76.690) Epoch: [32][5280/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 2.0751 (2.1083) Prec@1 51.250 (46.254) Prec@5 78.750 (76.690) Epoch: [32][5290/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.3126 (2.1084) Prec@1 43.125 (46.251) Prec@5 73.125 (76.686) Epoch: [32][5300/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.3445 (2.1085) Prec@1 39.375 (46.247) Prec@5 75.000 (76.686) Epoch: [32][5310/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.8888 (2.1085) Prec@1 46.250 (46.248) Prec@5 80.000 (76.688) Epoch: [32][5320/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.1608 (2.1083) Prec@1 39.375 (46.251) Prec@5 75.625 (76.690) Epoch: [32][5330/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0281 (2.1082) Prec@1 48.750 (46.251) Prec@5 83.125 (76.691) Epoch: [32][5340/11272] Time 0.748 (0.797) Data 0.006 (0.002) Loss 2.1273 (2.1082) Prec@1 46.250 (46.251) Prec@5 71.250 (76.691) Epoch: [32][5350/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2079 (2.1084) Prec@1 46.250 (46.248) Prec@5 74.375 (76.687) Epoch: [32][5360/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 1.8999 (2.1083) Prec@1 45.625 (46.248) Prec@5 82.500 (76.689) Epoch: [32][5370/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.0692 (2.1083) Prec@1 46.250 (46.249) Prec@5 78.125 (76.690) Epoch: [32][5380/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.4037 (2.1083) Prec@1 39.375 (46.250) Prec@5 71.875 (76.689) Epoch: [32][5390/11272] Time 0.890 (0.797) Data 0.001 (0.002) Loss 2.2435 (2.1082) Prec@1 40.625 (46.250) Prec@5 73.750 (76.691) Epoch: [32][5400/11272] Time 0.891 (0.797) Data 0.002 (0.002) Loss 2.1431 (2.1082) Prec@1 45.625 (46.251) Prec@5 76.875 (76.693) Epoch: [32][5410/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.0146 (2.1082) Prec@1 48.750 (46.249) Prec@5 80.625 (76.694) Epoch: [32][5420/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 2.1322 (2.1082) Prec@1 44.375 (46.249) Prec@5 76.875 (76.691) Epoch: [32][5430/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0067 (2.1081) Prec@1 46.875 (46.251) Prec@5 76.875 (76.691) Epoch: [32][5440/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9328 (2.1081) Prec@1 52.500 (46.249) Prec@5 78.750 (76.689) Epoch: [32][5450/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.9169 (2.1081) Prec@1 49.375 (46.250) Prec@5 80.625 (76.691) Epoch: [32][5460/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.0617 (2.1080) Prec@1 46.875 (46.252) Prec@5 81.875 (76.693) Epoch: [32][5470/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.2702 (2.1079) Prec@1 45.000 (46.256) Prec@5 73.125 (76.693) Epoch: [32][5480/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.2678 (2.1079) Prec@1 45.625 (46.257) Prec@5 76.250 (76.694) Epoch: [32][5490/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2019 (2.1079) Prec@1 41.250 (46.258) Prec@5 75.625 (76.696) Epoch: [32][5500/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.1879 (2.1079) Prec@1 44.375 (46.257) Prec@5 70.625 (76.693) Epoch: [32][5510/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9389 (2.1079) Prec@1 48.125 (46.254) Prec@5 78.750 (76.693) Epoch: [32][5520/11272] Time 0.731 (0.797) Data 0.003 (0.002) Loss 1.9990 (2.1079) Prec@1 51.875 (46.255) Prec@5 75.625 (76.692) Epoch: [32][5530/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 2.1824 (2.1079) Prec@1 46.250 (46.256) Prec@5 75.000 (76.692) Epoch: [32][5540/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.3829 (2.1079) Prec@1 36.875 (46.253) Prec@5 73.125 (76.692) Epoch: [32][5550/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.8623 (2.1079) Prec@1 52.500 (46.254) Prec@5 81.250 (76.693) Epoch: [32][5560/11272] Time 0.762 (0.797) Data 0.005 (0.002) Loss 2.0549 (2.1079) Prec@1 46.250 (46.256) Prec@5 76.875 (76.691) Epoch: [32][5570/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9567 (2.1078) Prec@1 51.250 (46.258) Prec@5 80.625 (76.691) Epoch: [32][5580/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.2026 (2.1078) Prec@1 41.250 (46.259) Prec@5 76.875 (76.692) Epoch: [32][5590/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 2.0701 (2.1077) Prec@1 44.375 (46.260) Prec@5 78.125 (76.694) Epoch: [32][5600/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 1.8837 (2.1075) Prec@1 47.500 (46.262) Prec@5 82.500 (76.699) Epoch: [32][5610/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0988 (2.1074) Prec@1 47.500 (46.266) Prec@5 75.625 (76.699) Epoch: [32][5620/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 2.3633 (2.1075) Prec@1 41.875 (46.265) Prec@5 67.500 (76.696) Epoch: [32][5630/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 2.2704 (2.1075) Prec@1 40.000 (46.267) Prec@5 75.625 (76.693) Epoch: [32][5640/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9879 (2.1074) Prec@1 51.250 (46.269) Prec@5 78.125 (76.692) Epoch: [32][5650/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0463 (2.1074) Prec@1 45.000 (46.267) Prec@5 73.125 (76.691) Epoch: [32][5660/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.1444 (2.1075) Prec@1 45.000 (46.267) Prec@5 72.500 (76.692) Epoch: [32][5670/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.0367 (2.1074) Prec@1 45.000 (46.266) Prec@5 76.875 (76.692) Epoch: [32][5680/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.0319 (2.1075) Prec@1 46.250 (46.267) Prec@5 77.500 (76.691) Epoch: [32][5690/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.1444 (2.1076) Prec@1 48.125 (46.267) Prec@5 73.750 (76.688) Epoch: [32][5700/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2898 (2.1076) Prec@1 40.625 (46.267) Prec@5 71.875 (76.687) Epoch: [32][5710/11272] Time 0.803 (0.797) Data 0.003 (0.002) Loss 2.2079 (2.1076) Prec@1 43.750 (46.269) Prec@5 75.000 (76.688) Epoch: [32][5720/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.1052 (2.1077) Prec@1 45.625 (46.268) Prec@5 75.625 (76.684) Epoch: [32][5730/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.2586 (2.1078) Prec@1 45.625 (46.267) Prec@5 72.500 (76.684) Epoch: [32][5740/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 1.8553 (2.1077) Prec@1 51.250 (46.265) Prec@5 81.875 (76.685) Epoch: [32][5750/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.1174 (2.1079) Prec@1 51.875 (46.263) Prec@5 75.625 (76.682) Epoch: [32][5760/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2969 (2.1079) Prec@1 46.875 (46.265) Prec@5 73.750 (76.681) Epoch: [32][5770/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1018 (2.1079) Prec@1 45.625 (46.263) Prec@5 76.875 (76.682) Epoch: [32][5780/11272] Time 0.763 (0.797) Data 0.003 (0.002) Loss 1.9467 (2.1078) Prec@1 53.125 (46.265) Prec@5 82.500 (76.684) Epoch: [32][5790/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 2.0960 (2.1079) Prec@1 43.750 (46.263) Prec@5 77.500 (76.682) Epoch: [32][5800/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.0727 (2.1079) Prec@1 49.375 (46.264) Prec@5 79.375 (76.682) Epoch: [32][5810/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.9674 (2.1078) Prec@1 48.125 (46.266) Prec@5 78.750 (76.684) Epoch: [32][5820/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2053 (2.1080) Prec@1 45.000 (46.264) Prec@5 76.875 (76.679) Epoch: [32][5830/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9193 (2.1079) Prec@1 54.375 (46.266) Prec@5 78.750 (76.681) Epoch: [32][5840/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.1778 (2.1079) Prec@1 45.000 (46.265) Prec@5 76.250 (76.683) Epoch: [32][5850/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0976 (2.1078) Prec@1 51.250 (46.269) Prec@5 72.500 (76.682) Epoch: [32][5860/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1751 (2.1078) Prec@1 44.375 (46.266) Prec@5 75.625 (76.680) Epoch: [32][5870/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0019 (2.1079) Prec@1 45.000 (46.265) Prec@5 77.500 (76.679) Epoch: [32][5880/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0821 (2.1079) Prec@1 48.125 (46.264) Prec@5 77.500 (76.680) Epoch: [32][5890/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 2.2136 (2.1079) Prec@1 47.500 (46.265) Prec@5 73.125 (76.679) Epoch: [32][5900/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.0959 (2.1078) Prec@1 48.750 (46.269) Prec@5 77.500 (76.680) Epoch: [32][5910/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1496 (2.1078) Prec@1 45.000 (46.271) Prec@5 75.625 (76.681) Epoch: [32][5920/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1323 (2.1077) Prec@1 46.875 (46.271) Prec@5 77.500 (76.683) Epoch: [32][5930/11272] Time 0.784 (0.797) Data 0.001 (0.002) Loss 2.0552 (2.1077) Prec@1 48.750 (46.272) Prec@5 76.875 (76.683) Epoch: [32][5940/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.9113 (2.1076) Prec@1 50.000 (46.270) Prec@5 78.125 (76.686) Epoch: [32][5950/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.1425 (2.1075) Prec@1 42.500 (46.272) Prec@5 80.000 (76.688) Epoch: [32][5960/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.3071 (2.1077) Prec@1 44.375 (46.270) Prec@5 71.875 (76.686) Epoch: [32][5970/11272] Time 0.811 (0.797) Data 0.002 (0.002) Loss 2.0542 (2.1077) Prec@1 47.500 (46.270) Prec@5 80.625 (76.686) Epoch: [32][5980/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.0581 (2.1079) Prec@1 43.750 (46.266) Prec@5 78.125 (76.684) Epoch: [32][5990/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2153 (2.1079) Prec@1 43.125 (46.261) Prec@5 71.875 (76.682) Epoch: [32][6000/11272] Time 0.878 (0.797) Data 0.003 (0.002) Loss 2.1054 (2.1081) Prec@1 51.875 (46.260) Prec@5 71.875 (76.679) Epoch: [32][6010/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 1.9911 (2.1080) Prec@1 48.125 (46.262) Prec@5 78.125 (76.681) Epoch: [32][6020/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1516 (2.1080) Prec@1 46.875 (46.263) Prec@5 76.250 (76.679) Epoch: [32][6030/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.9328 (2.1079) Prec@1 50.625 (46.266) Prec@5 80.000 (76.682) Epoch: [32][6040/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.3562 (2.1080) Prec@1 39.375 (46.262) Prec@5 71.875 (76.680) Epoch: [32][6050/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.1081 (2.1081) Prec@1 48.750 (46.261) Prec@5 80.000 (76.678) Epoch: [32][6060/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.2108 (2.1081) Prec@1 44.375 (46.259) Prec@5 77.500 (76.678) Epoch: [32][6070/11272] Time 0.902 (0.797) Data 0.002 (0.002) Loss 2.3841 (2.1083) Prec@1 42.500 (46.256) Prec@5 71.250 (76.676) Epoch: [32][6080/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1228 (2.1084) Prec@1 43.750 (46.252) Prec@5 76.875 (76.675) Epoch: [32][6090/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.2503 (2.1083) Prec@1 42.500 (46.255) Prec@5 71.875 (76.673) Epoch: [32][6100/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.8559 (2.1083) Prec@1 50.000 (46.256) Prec@5 79.375 (76.673) Epoch: [32][6110/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 1.8322 (2.1084) Prec@1 54.375 (46.255) Prec@5 78.750 (76.672) Epoch: [32][6120/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1491 (2.1084) Prec@1 46.875 (46.254) Prec@5 75.625 (76.672) Epoch: [32][6130/11272] Time 0.756 (0.797) Data 0.001 (0.002) Loss 2.1332 (2.1084) Prec@1 47.500 (46.255) Prec@5 76.875 (76.673) Epoch: [32][6140/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.3827 (2.1084) Prec@1 45.000 (46.254) Prec@5 67.500 (76.672) Epoch: [32][6150/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.3984 (2.1085) Prec@1 35.625 (46.250) Prec@5 71.875 (76.671) Epoch: [32][6160/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0010 (2.1084) Prec@1 48.750 (46.250) Prec@5 78.750 (76.671) Epoch: [32][6170/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.3152 (2.1082) Prec@1 42.500 (46.253) Prec@5 71.250 (76.675) Epoch: [32][6180/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 2.1970 (2.1082) Prec@1 44.375 (46.254) Prec@5 74.375 (76.673) Epoch: [32][6190/11272] Time 0.761 (0.797) Data 0.001 (0.002) Loss 2.3650 (2.1082) Prec@1 42.500 (46.260) Prec@5 73.750 (76.675) Epoch: [32][6200/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.2485 (2.1084) Prec@1 48.750 (46.257) Prec@5 75.000 (76.672) Epoch: [32][6210/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 2.0998 (2.1083) Prec@1 44.375 (46.258) Prec@5 71.875 (76.673) Epoch: [32][6220/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.0622 (2.1083) Prec@1 45.000 (46.258) Prec@5 79.375 (76.673) Epoch: [32][6230/11272] Time 0.814 (0.797) Data 0.002 (0.002) Loss 1.9554 (2.1083) Prec@1 50.625 (46.256) Prec@5 75.625 (76.672) Epoch: [32][6240/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0572 (2.1083) Prec@1 49.375 (46.257) Prec@5 76.875 (76.671) Epoch: [32][6250/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1003 (2.1084) Prec@1 44.375 (46.254) Prec@5 77.500 (76.671) Epoch: [32][6260/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.5463 (2.1085) Prec@1 43.125 (46.252) Prec@5 67.500 (76.670) Epoch: [32][6270/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.8251 (2.1086) Prec@1 55.625 (46.250) Prec@5 83.750 (76.668) Epoch: [32][6280/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.4730 (2.1086) Prec@1 40.000 (46.249) Prec@5 68.125 (76.669) Epoch: [32][6290/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9018 (2.1085) Prec@1 52.500 (46.252) Prec@5 81.875 (76.670) Epoch: [32][6300/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 2.0454 (2.1084) Prec@1 48.125 (46.255) Prec@5 77.500 (76.672) Epoch: [32][6310/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.0262 (2.1083) Prec@1 49.375 (46.257) Prec@5 77.500 (76.673) Epoch: [32][6320/11272] Time 0.901 (0.797) Data 0.001 (0.002) Loss 1.8561 (2.1083) Prec@1 47.500 (46.259) Prec@5 83.125 (76.673) Epoch: [32][6330/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 2.0741 (2.1084) Prec@1 43.750 (46.253) Prec@5 76.875 (76.669) Epoch: [32][6340/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.9277 (2.1084) Prec@1 51.250 (46.251) Prec@5 79.375 (76.671) Epoch: [32][6350/11272] Time 0.779 (0.797) Data 0.002 (0.002) Loss 2.1738 (2.1084) Prec@1 44.375 (46.252) Prec@5 76.250 (76.671) Epoch: [32][6360/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.1177 (2.1082) Prec@1 41.250 (46.254) Prec@5 75.000 (76.675) Epoch: [32][6370/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9703 (2.1082) Prec@1 50.000 (46.253) Prec@5 75.000 (76.674) Epoch: [32][6380/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.1410 (2.1083) Prec@1 43.125 (46.251) Prec@5 75.625 (76.673) Epoch: [32][6390/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.1441 (2.1083) Prec@1 45.625 (46.250) Prec@5 75.625 (76.673) Epoch: [32][6400/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.2310 (2.1082) Prec@1 41.875 (46.252) Prec@5 75.625 (76.673) Epoch: [32][6410/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.9752 (2.1083) Prec@1 50.000 (46.251) Prec@5 81.250 (76.675) Epoch: [32][6420/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.9950 (2.1082) Prec@1 50.000 (46.252) Prec@5 78.750 (76.674) Epoch: [32][6430/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.0834 (2.1084) Prec@1 46.250 (46.249) Prec@5 77.500 (76.673) Epoch: [32][6440/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.9032 (2.1083) Prec@1 46.875 (46.249) Prec@5 79.375 (76.673) Epoch: [32][6450/11272] Time 0.740 (0.797) Data 0.003 (0.002) Loss 2.4180 (2.1084) Prec@1 40.625 (46.247) Prec@5 68.125 (76.670) Epoch: [32][6460/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 1.8525 (2.1083) Prec@1 51.250 (46.250) Prec@5 82.500 (76.674) Epoch: [32][6470/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0825 (2.1084) Prec@1 43.750 (46.249) Prec@5 76.250 (76.672) Epoch: [32][6480/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 1.9163 (2.1084) Prec@1 47.500 (46.247) Prec@5 82.500 (76.673) Epoch: [32][6490/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.8246 (2.1083) Prec@1 52.500 (46.247) Prec@5 80.000 (76.673) Epoch: [32][6500/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 1.8980 (2.1083) Prec@1 50.000 (46.246) Prec@5 80.625 (76.673) Epoch: [32][6510/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.2918 (2.1083) Prec@1 40.625 (46.245) Prec@5 73.125 (76.673) Epoch: [32][6520/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.1062 (2.1082) Prec@1 45.000 (46.246) Prec@5 76.875 (76.673) Epoch: [32][6530/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0674 (2.1082) Prec@1 44.375 (46.247) Prec@5 78.750 (76.674) Epoch: [32][6540/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1915 (2.1082) Prec@1 48.125 (46.247) Prec@5 76.250 (76.674) Epoch: [32][6550/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0811 (2.1082) Prec@1 46.875 (46.246) Prec@5 75.000 (76.672) Epoch: [32][6560/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.2528 (2.1083) Prec@1 42.500 (46.244) Prec@5 75.000 (76.672) Epoch: [32][6570/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1009 (2.1082) Prec@1 48.125 (46.246) Prec@5 76.875 (76.674) Epoch: [32][6580/11272] Time 0.799 (0.797) Data 0.001 (0.002) Loss 2.2978 (2.1083) Prec@1 45.000 (46.243) Prec@5 72.500 (76.673) Epoch: [32][6590/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 1.9534 (2.1082) Prec@1 48.750 (46.245) Prec@5 78.125 (76.673) Epoch: [32][6600/11272] Time 0.757 (0.797) Data 0.001 (0.002) Loss 2.1107 (2.1082) Prec@1 47.500 (46.243) Prec@5 76.250 (76.674) Epoch: [32][6610/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1534 (2.1083) Prec@1 43.125 (46.243) Prec@5 78.750 (76.674) Epoch: [32][6620/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.1273 (2.1082) Prec@1 45.000 (46.244) Prec@5 75.625 (76.674) Epoch: [32][6630/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.2704 (2.1081) Prec@1 43.125 (46.244) Prec@5 75.000 (76.677) Epoch: [32][6640/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9826 (2.1081) Prec@1 50.625 (46.246) Prec@5 75.625 (76.676) Epoch: [32][6650/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.7389 (2.1081) Prec@1 56.875 (46.248) Prec@5 81.875 (76.675) Epoch: [32][6660/11272] Time 0.859 (0.797) Data 0.001 (0.002) Loss 1.9107 (2.1081) Prec@1 50.000 (46.248) Prec@5 79.375 (76.674) Epoch: [32][6670/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.7434 (2.1081) Prec@1 48.750 (46.247) Prec@5 84.375 (76.673) Epoch: [32][6680/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.1228 (2.1080) Prec@1 46.875 (46.249) Prec@5 71.875 (76.675) Epoch: [32][6690/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0495 (2.1080) Prec@1 50.625 (46.249) Prec@5 75.625 (76.673) Epoch: [32][6700/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.1340 (2.1081) Prec@1 39.375 (46.248) Prec@5 72.500 (76.672) Epoch: [32][6710/11272] Time 0.765 (0.797) Data 0.003 (0.002) Loss 2.0473 (2.1081) Prec@1 45.000 (46.250) Prec@5 80.625 (76.672) Epoch: [32][6720/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1439 (2.1082) Prec@1 49.375 (46.250) Prec@5 76.250 (76.670) Epoch: [32][6730/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.4578 (2.1082) Prec@1 40.000 (46.251) Prec@5 69.375 (76.668) Epoch: [32][6740/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 2.3484 (2.1082) Prec@1 45.625 (46.251) Prec@5 75.000 (76.668) Epoch: [32][6750/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.3685 (2.1083) Prec@1 40.625 (46.248) Prec@5 70.000 (76.664) Epoch: [32][6760/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.2748 (2.1084) Prec@1 43.125 (46.246) Prec@5 75.625 (76.663) Epoch: [32][6770/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1246 (2.1083) Prec@1 46.250 (46.247) Prec@5 76.250 (76.664) Epoch: [32][6780/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.8642 (2.1083) Prec@1 52.500 (46.245) Prec@5 83.750 (76.664) Epoch: [32][6790/11272] Time 0.767 (0.797) Data 0.001 (0.002) Loss 2.1343 (2.1083) Prec@1 40.000 (46.245) Prec@5 79.375 (76.665) Epoch: [32][6800/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0756 (2.1082) Prec@1 48.750 (46.249) Prec@5 73.125 (76.667) Epoch: [32][6810/11272] Time 0.902 (0.797) Data 0.002 (0.002) Loss 2.3576 (2.1082) Prec@1 37.500 (46.249) Prec@5 77.500 (76.668) Epoch: [32][6820/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1182 (2.1082) Prec@1 48.750 (46.247) Prec@5 76.875 (76.666) Epoch: [32][6830/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1504 (2.1082) Prec@1 51.875 (46.248) Prec@5 73.125 (76.665) Epoch: [32][6840/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.0835 (2.1083) Prec@1 45.625 (46.247) Prec@5 78.125 (76.664) Epoch: [32][6850/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2765 (2.1083) Prec@1 44.375 (46.248) Prec@5 76.250 (76.665) Epoch: [32][6860/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.4156 (2.1083) Prec@1 42.500 (46.247) Prec@5 71.875 (76.666) Epoch: [32][6870/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.1890 (2.1083) Prec@1 46.250 (46.249) Prec@5 76.250 (76.667) Epoch: [32][6880/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.9986 (2.1084) Prec@1 52.500 (46.249) Prec@5 76.875 (76.665) Epoch: [32][6890/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1878 (2.1084) Prec@1 46.875 (46.247) Prec@5 67.500 (76.663) Epoch: [32][6900/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 1.9881 (2.1085) Prec@1 46.250 (46.245) Prec@5 78.750 (76.663) Epoch: [32][6910/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2640 (2.1085) Prec@1 40.000 (46.245) Prec@5 73.750 (76.662) Epoch: [32][6920/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 2.2282 (2.1087) Prec@1 44.375 (46.241) Prec@5 73.125 (76.659) Epoch: [32][6930/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.1750 (2.1086) Prec@1 41.250 (46.241) Prec@5 79.375 (76.661) Epoch: [32][6940/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9935 (2.1086) Prec@1 44.375 (46.241) Prec@5 79.375 (76.660) Epoch: [32][6950/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9150 (2.1085) Prec@1 48.125 (46.242) Prec@5 76.875 (76.661) Epoch: [32][6960/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2788 (2.1086) Prec@1 40.625 (46.242) Prec@5 77.500 (76.660) Epoch: [32][6970/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.0819 (2.1085) Prec@1 46.875 (46.242) Prec@5 75.625 (76.661) Epoch: [32][6980/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1081 (2.1085) Prec@1 40.625 (46.240) Prec@5 77.500 (76.662) Epoch: [32][6990/11272] Time 0.875 (0.797) Data 0.001 (0.002) Loss 2.2473 (2.1085) Prec@1 46.250 (46.241) Prec@5 74.375 (76.663) Epoch: [32][7000/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.0350 (2.1086) Prec@1 43.750 (46.239) Prec@5 77.500 (76.662) Epoch: [32][7010/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.1188 (2.1085) Prec@1 46.875 (46.239) Prec@5 78.125 (76.664) Epoch: [32][7020/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1814 (2.1084) Prec@1 40.000 (46.239) Prec@5 71.875 (76.663) Epoch: [32][7030/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1939 (2.1084) Prec@1 41.875 (46.238) Prec@5 76.250 (76.664) Epoch: [32][7040/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.0427 (2.1083) Prec@1 46.875 (46.239) Prec@5 80.000 (76.666) Epoch: [32][7050/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1671 (2.1084) Prec@1 44.375 (46.239) Prec@5 78.125 (76.665) Epoch: [32][7060/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 2.2203 (2.1082) Prec@1 47.500 (46.243) Prec@5 77.500 (76.668) Epoch: [32][7070/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.2015 (2.1082) Prec@1 43.125 (46.243) Prec@5 74.375 (76.669) Epoch: [32][7080/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 1.9347 (2.1081) Prec@1 48.125 (46.243) Prec@5 78.750 (76.670) Epoch: [32][7090/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9983 (2.1082) Prec@1 48.125 (46.242) Prec@5 75.000 (76.671) Epoch: [32][7100/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.8174 (2.1081) Prec@1 50.625 (46.242) Prec@5 81.875 (76.672) Epoch: [32][7110/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1538 (2.1081) Prec@1 46.875 (46.244) Prec@5 77.500 (76.672) Epoch: [32][7120/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.0092 (2.1081) Prec@1 48.125 (46.244) Prec@5 79.375 (76.675) Epoch: [32][7130/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1482 (2.1081) Prec@1 43.750 (46.244) Prec@5 75.000 (76.675) Epoch: [32][7140/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1922 (2.1082) Prec@1 48.125 (46.244) Prec@5 74.375 (76.673) Epoch: [32][7150/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 2.0739 (2.1080) Prec@1 49.375 (46.247) Prec@5 78.125 (76.677) Epoch: [32][7160/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1990 (2.1080) Prec@1 38.750 (46.245) Prec@5 78.125 (76.679) Epoch: [32][7170/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.3495 (2.1079) Prec@1 38.125 (46.246) Prec@5 73.125 (76.680) Epoch: [32][7180/11272] Time 0.859 (0.797) Data 0.003 (0.002) Loss 2.1195 (2.1079) Prec@1 45.625 (46.244) Prec@5 79.375 (76.680) Epoch: [32][7190/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.0245 (2.1080) Prec@1 48.750 (46.243) Prec@5 78.125 (76.681) Epoch: [32][7200/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.2210 (2.1079) Prec@1 48.750 (46.245) Prec@5 74.375 (76.682) Epoch: [32][7210/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0733 (2.1079) Prec@1 50.000 (46.245) Prec@5 76.250 (76.683) Epoch: [32][7220/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.9544 (2.1079) Prec@1 45.000 (46.245) Prec@5 76.250 (76.681) Epoch: [32][7230/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1838 (2.1080) Prec@1 49.375 (46.244) Prec@5 77.500 (76.680) Epoch: [32][7240/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.0275 (2.1080) Prec@1 53.125 (46.242) Prec@5 74.375 (76.679) Epoch: [32][7250/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1430 (2.1080) Prec@1 45.000 (46.243) Prec@5 77.500 (76.677) Epoch: [32][7260/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0308 (2.1080) Prec@1 50.000 (46.246) Prec@5 76.250 (76.677) Epoch: [32][7270/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.8520 (2.1079) Prec@1 48.125 (46.247) Prec@5 83.125 (76.679) Epoch: [32][7280/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.1349 (2.1080) Prec@1 43.750 (46.245) Prec@5 80.000 (76.681) Epoch: [32][7290/11272] Time 0.887 (0.797) Data 0.001 (0.002) Loss 2.0092 (2.1079) Prec@1 41.875 (46.244) Prec@5 78.750 (76.682) Epoch: [32][7300/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.1750 (2.1079) Prec@1 46.250 (46.243) Prec@5 74.375 (76.681) Epoch: [32][7310/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.1707 (2.1080) Prec@1 45.625 (46.240) Prec@5 73.125 (76.681) Epoch: [32][7320/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0906 (2.1080) Prec@1 43.750 (46.238) Prec@5 78.750 (76.683) Epoch: [32][7330/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2358 (2.1080) Prec@1 41.250 (46.238) Prec@5 73.750 (76.683) Epoch: [32][7340/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.1878 (2.1080) Prec@1 40.000 (46.238) Prec@5 76.875 (76.684) Epoch: [32][7350/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.1233 (2.1081) Prec@1 46.250 (46.236) Prec@5 73.750 (76.681) Epoch: [32][7360/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0118 (2.1080) Prec@1 51.875 (46.239) Prec@5 78.125 (76.682) Epoch: [32][7370/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.3841 (2.1080) Prec@1 42.500 (46.238) Prec@5 75.000 (76.682) Epoch: [32][7380/11272] Time 0.745 (0.797) Data 0.004 (0.002) Loss 1.9496 (2.1081) Prec@1 52.500 (46.237) Prec@5 80.625 (76.680) Epoch: [32][7390/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.1945 (2.1082) Prec@1 43.750 (46.237) Prec@5 74.375 (76.677) Epoch: [32][7400/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 2.3555 (2.1082) Prec@1 42.500 (46.236) Prec@5 71.875 (76.677) Epoch: [32][7410/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.3809 (2.1083) Prec@1 43.125 (46.236) Prec@5 70.000 (76.676) Epoch: [32][7420/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.8980 (2.1082) Prec@1 48.750 (46.237) Prec@5 82.500 (76.679) Epoch: [32][7430/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0590 (2.1081) Prec@1 47.500 (46.238) Prec@5 76.875 (76.679) Epoch: [32][7440/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.0454 (2.1081) Prec@1 47.500 (46.238) Prec@5 81.250 (76.680) Epoch: [32][7450/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.2381 (2.1081) Prec@1 48.125 (46.237) Prec@5 72.500 (76.680) Epoch: [32][7460/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0438 (2.1081) Prec@1 50.000 (46.236) Prec@5 80.625 (76.680) Epoch: [32][7470/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.9063 (2.1080) Prec@1 51.250 (46.240) Prec@5 80.625 (76.681) Epoch: [32][7480/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 1.9245 (2.1080) Prec@1 51.250 (46.241) Prec@5 79.375 (76.681) Epoch: [32][7490/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.3652 (2.1080) Prec@1 45.000 (46.242) Prec@5 72.500 (76.681) Epoch: [32][7500/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.0432 (2.1079) Prec@1 42.500 (46.241) Prec@5 79.375 (76.683) Epoch: [32][7510/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.0521 (2.1079) Prec@1 46.250 (46.241) Prec@5 78.750 (76.683) Epoch: [32][7520/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.3239 (2.1079) Prec@1 39.375 (46.239) Prec@5 73.750 (76.683) Epoch: [32][7530/11272] Time 0.753 (0.797) Data 0.001 (0.002) Loss 2.2404 (2.1080) Prec@1 41.250 (46.235) Prec@5 75.000 (76.681) Epoch: [32][7540/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.0937 (2.1081) Prec@1 48.125 (46.235) Prec@5 78.125 (76.679) Epoch: [32][7550/11272] Time 0.870 (0.797) Data 0.001 (0.002) Loss 2.4899 (2.1081) Prec@1 41.875 (46.235) Prec@5 69.375 (76.679) Epoch: [32][7560/11272] Time 0.856 (0.797) Data 0.001 (0.002) Loss 2.0406 (2.1081) Prec@1 46.250 (46.234) Prec@5 79.375 (76.679) Epoch: [32][7570/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.1120 (2.1081) Prec@1 53.750 (46.235) Prec@5 75.000 (76.680) Epoch: [32][7580/11272] Time 0.788 (0.797) Data 0.005 (0.002) Loss 2.1169 (2.1081) Prec@1 40.625 (46.237) Prec@5 79.375 (76.680) Epoch: [32][7590/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9268 (2.1080) Prec@1 44.375 (46.237) Prec@5 79.375 (76.680) Epoch: [32][7600/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 2.4242 (2.1081) Prec@1 41.250 (46.234) Prec@5 68.750 (76.679) Epoch: [32][7610/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 2.0154 (2.1082) Prec@1 48.125 (46.235) Prec@5 75.625 (76.677) Epoch: [32][7620/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 1.9945 (2.1082) Prec@1 47.500 (46.236) Prec@5 78.750 (76.677) Epoch: [32][7630/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0686 (2.1081) Prec@1 43.125 (46.237) Prec@5 76.875 (76.676) Epoch: [32][7640/11272] Time 0.745 (0.797) Data 0.003 (0.002) Loss 2.0352 (2.1082) Prec@1 51.875 (46.237) Prec@5 80.000 (76.674) Epoch: [32][7650/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.2143 (2.1082) Prec@1 44.375 (46.235) Prec@5 71.875 (76.674) Epoch: [32][7660/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.2692 (2.1082) Prec@1 45.625 (46.234) Prec@5 70.625 (76.673) Epoch: [32][7670/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.1316 (2.1082) Prec@1 50.625 (46.234) Prec@5 75.000 (76.673) Epoch: [32][7680/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0992 (2.1081) Prec@1 41.250 (46.236) Prec@5 79.375 (76.675) Epoch: [32][7690/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9724 (2.1081) Prec@1 50.000 (46.237) Prec@5 78.750 (76.674) Epoch: [32][7700/11272] Time 0.874 (0.797) Data 0.001 (0.002) Loss 2.2624 (2.1081) Prec@1 41.875 (46.237) Prec@5 73.125 (76.676) Epoch: [32][7710/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.9514 (2.1081) Prec@1 51.250 (46.238) Prec@5 76.875 (76.676) Epoch: [32][7720/11272] Time 0.775 (0.797) Data 0.001 (0.002) Loss 1.9394 (2.1081) Prec@1 49.375 (46.238) Prec@5 78.750 (76.675) Epoch: [32][7730/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3336 (2.1081) Prec@1 43.750 (46.240) Prec@5 74.375 (76.675) Epoch: [32][7740/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 2.2123 (2.1080) Prec@1 41.875 (46.241) Prec@5 70.625 (76.675) Epoch: [32][7750/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0062 (2.1081) Prec@1 50.000 (46.240) Prec@5 76.250 (76.674) Epoch: [32][7760/11272] Time 0.774 (0.797) Data 0.001 (0.002) Loss 2.1188 (2.1081) Prec@1 43.750 (46.240) Prec@5 80.000 (76.674) Epoch: [32][7770/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.1418 (2.1083) Prec@1 43.750 (46.235) Prec@5 76.875 (76.670) Epoch: [32][7780/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 1.9699 (2.1083) Prec@1 48.125 (46.233) Prec@5 78.750 (76.670) Epoch: [32][7790/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 1.9895 (2.1082) Prec@1 47.500 (46.232) Prec@5 77.500 (76.670) Epoch: [32][7800/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9111 (2.1081) Prec@1 47.500 (46.235) Prec@5 80.625 (76.673) Epoch: [32][7810/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.1848 (2.1082) Prec@1 42.500 (46.233) Prec@5 75.000 (76.673) Epoch: [32][7820/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.3399 (2.1082) Prec@1 41.250 (46.231) Prec@5 70.625 (76.672) Epoch: [32][7830/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 1.9547 (2.1083) Prec@1 48.125 (46.229) Prec@5 81.250 (76.670) Epoch: [32][7840/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.1674 (2.1083) Prec@1 46.875 (46.230) Prec@5 77.500 (76.671) Epoch: [32][7850/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2261 (2.1084) Prec@1 45.000 (46.228) Prec@5 73.125 (76.669) Epoch: [32][7860/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.3468 (2.1084) Prec@1 43.750 (46.228) Prec@5 72.500 (76.669) Epoch: [32][7870/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.1081 (2.1084) Prec@1 47.500 (46.229) Prec@5 75.625 (76.668) Epoch: [32][7880/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.1734 (2.1084) Prec@1 46.875 (46.228) Prec@5 75.625 (76.668) Epoch: [32][7890/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.2405 (2.1084) Prec@1 45.000 (46.227) Prec@5 76.250 (76.667) Epoch: [32][7900/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.2283 (2.1084) Prec@1 43.750 (46.226) Prec@5 75.000 (76.669) Epoch: [32][7910/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0119 (2.1083) Prec@1 45.625 (46.227) Prec@5 80.000 (76.671) Epoch: [32][7920/11272] Time 0.809 (0.797) Data 0.002 (0.002) Loss 2.2896 (2.1084) Prec@1 40.000 (46.226) Prec@5 73.125 (76.669) Epoch: [32][7930/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.2676 (2.1084) Prec@1 43.125 (46.225) Prec@5 74.375 (76.669) Epoch: [32][7940/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0887 (2.1084) Prec@1 46.875 (46.225) Prec@5 76.250 (76.670) Epoch: [32][7950/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.0668 (2.1085) Prec@1 48.750 (46.224) Prec@5 79.375 (76.668) Epoch: [32][7960/11272] Time 0.912 (0.797) Data 0.002 (0.002) Loss 1.9645 (2.1084) Prec@1 46.250 (46.227) Prec@5 82.500 (76.669) Epoch: [32][7970/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.0155 (2.1084) Prec@1 47.500 (46.225) Prec@5 77.500 (76.668) Epoch: [32][7980/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.2811 (2.1084) Prec@1 46.250 (46.225) Prec@5 70.000 (76.668) Epoch: [32][7990/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 2.1900 (2.1085) Prec@1 47.500 (46.224) Prec@5 73.125 (76.666) Epoch: [32][8000/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.4836 (2.1085) Prec@1 33.125 (46.221) Prec@5 68.750 (76.664) Epoch: [32][8010/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 2.1829 (2.1086) Prec@1 45.000 (46.218) Prec@5 74.375 (76.665) Epoch: [32][8020/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0787 (2.1085) Prec@1 43.750 (46.220) Prec@5 78.125 (76.666) Epoch: [32][8030/11272] Time 0.788 (0.797) Data 0.002 (0.002) Loss 2.4281 (2.1085) Prec@1 39.375 (46.221) Prec@5 73.750 (76.669) Epoch: [32][8040/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.0671 (2.1083) Prec@1 48.125 (46.224) Prec@5 80.625 (76.671) Epoch: [32][8050/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.1628 (2.1083) Prec@1 45.000 (46.227) Prec@5 76.250 (76.673) Epoch: [32][8060/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.3177 (2.1083) Prec@1 45.000 (46.225) Prec@5 69.375 (76.673) Epoch: [32][8070/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.9991 (2.1082) Prec@1 46.250 (46.226) Prec@5 80.625 (76.675) Epoch: [32][8080/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 2.0119 (2.1083) Prec@1 48.125 (46.227) Prec@5 79.375 (76.675) Epoch: [32][8090/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.2611 (2.1084) Prec@1 40.625 (46.224) Prec@5 75.625 (76.675) Epoch: [32][8100/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3103 (2.1085) Prec@1 36.875 (46.220) Prec@5 75.000 (76.674) Epoch: [32][8110/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0793 (2.1086) Prec@1 50.000 (46.220) Prec@5 78.750 (76.670) Epoch: [32][8120/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.8309 (2.1086) Prec@1 50.000 (46.219) Prec@5 80.625 (76.671) Epoch: [32][8130/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0413 (2.1086) Prec@1 47.500 (46.219) Prec@5 78.125 (76.671) Epoch: [32][8140/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 1.9778 (2.1086) Prec@1 48.750 (46.220) Prec@5 78.125 (76.671) Epoch: [32][8150/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.0281 (2.1085) Prec@1 50.000 (46.222) Prec@5 73.125 (76.670) Epoch: [32][8160/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.0891 (2.1086) Prec@1 41.250 (46.222) Prec@5 81.250 (76.669) Epoch: [32][8170/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 2.0058 (2.1086) Prec@1 50.000 (46.224) Prec@5 78.750 (76.670) Epoch: [32][8180/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.1601 (2.1087) Prec@1 44.375 (46.223) Prec@5 76.250 (76.667) Epoch: [32][8190/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 2.1969 (2.1088) Prec@1 41.875 (46.222) Prec@5 74.375 (76.667) Epoch: [32][8200/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 1.8738 (2.1087) Prec@1 50.000 (46.222) Prec@5 78.750 (76.667) Epoch: [32][8210/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1748 (2.1088) Prec@1 46.875 (46.222) Prec@5 75.000 (76.667) Epoch: [32][8220/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9090 (2.1088) Prec@1 50.625 (46.223) Prec@5 82.500 (76.665) Epoch: [32][8230/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.0839 (2.1089) Prec@1 45.000 (46.222) Prec@5 75.000 (76.664) Epoch: [32][8240/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9899 (2.1088) Prec@1 46.250 (46.224) Prec@5 77.500 (76.666) Epoch: [32][8250/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0056 (2.1089) Prec@1 53.125 (46.221) Prec@5 79.375 (76.665) Epoch: [32][8260/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.0897 (2.1089) Prec@1 52.500 (46.220) Prec@5 75.000 (76.664) Epoch: [32][8270/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2476 (2.1089) Prec@1 45.000 (46.221) Prec@5 74.375 (76.665) Epoch: [32][8280/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.3493 (2.1089) Prec@1 43.125 (46.222) Prec@5 73.750 (76.664) Epoch: [32][8290/11272] Time 0.812 (0.797) Data 0.002 (0.002) Loss 2.1500 (2.1090) Prec@1 45.000 (46.221) Prec@5 75.000 (76.663) Epoch: [32][8300/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.2080 (2.1089) Prec@1 48.125 (46.221) Prec@5 78.750 (76.665) Epoch: [32][8310/11272] Time 0.791 (0.797) Data 0.004 (0.002) Loss 2.1930 (2.1089) Prec@1 43.125 (46.221) Prec@5 76.875 (76.666) Epoch: [32][8320/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1197 (2.1088) Prec@1 43.750 (46.223) Prec@5 79.375 (76.669) Epoch: [32][8330/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.1075 (2.1088) Prec@1 46.875 (46.219) Prec@5 75.000 (76.668) Epoch: [32][8340/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.4559 (2.1088) Prec@1 40.625 (46.219) Prec@5 72.500 (76.669) Epoch: [32][8350/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9650 (2.1087) Prec@1 53.125 (46.223) Prec@5 76.250 (76.671) Epoch: [32][8360/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9864 (2.1088) Prec@1 43.750 (46.219) Prec@5 78.750 (76.670) Epoch: [32][8370/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1142 (2.1088) Prec@1 46.875 (46.219) Prec@5 75.625 (76.670) Epoch: [32][8380/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2600 (2.1088) Prec@1 42.500 (46.218) Prec@5 71.250 (76.671) Epoch: [32][8390/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2660 (2.1089) Prec@1 45.625 (46.214) Prec@5 74.375 (76.670) Epoch: [32][8400/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.2482 (2.1090) Prec@1 38.125 (46.212) Prec@5 71.875 (76.669) Epoch: [32][8410/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.2568 (2.1090) Prec@1 43.750 (46.212) Prec@5 73.750 (76.670) Epoch: [32][8420/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0819 (2.1089) Prec@1 48.125 (46.214) Prec@5 75.000 (76.670) Epoch: [32][8430/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9594 (2.1090) Prec@1 51.250 (46.216) Prec@5 78.750 (76.669) Epoch: [32][8440/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 1.9117 (2.1089) Prec@1 44.375 (46.217) Prec@5 79.375 (76.671) Epoch: [32][8450/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.0162 (2.1089) Prec@1 49.375 (46.216) Prec@5 79.375 (76.671) Epoch: [32][8460/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.2227 (2.1089) Prec@1 47.500 (46.217) Prec@5 73.125 (76.670) Epoch: [32][8470/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0493 (2.1090) Prec@1 45.625 (46.216) Prec@5 76.250 (76.670) Epoch: [32][8480/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 2.0518 (2.1090) Prec@1 48.750 (46.215) Prec@5 77.500 (76.669) Epoch: [32][8490/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.6845 (2.1090) Prec@1 56.875 (46.217) Prec@5 85.625 (76.669) Epoch: [32][8500/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0676 (2.1090) Prec@1 48.750 (46.219) Prec@5 78.125 (76.670) Epoch: [32][8510/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.1954 (2.1089) Prec@1 44.375 (46.221) Prec@5 73.750 (76.670) Epoch: [32][8520/11272] Time 0.874 (0.797) Data 0.001 (0.002) Loss 2.0270 (2.1089) Prec@1 46.875 (46.222) Prec@5 78.750 (76.670) Epoch: [32][8530/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.8765 (2.1089) Prec@1 57.500 (46.221) Prec@5 78.750 (76.671) Epoch: [32][8540/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 2.4331 (2.1091) Prec@1 35.625 (46.217) Prec@5 70.625 (76.668) Epoch: [32][8550/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0164 (2.1091) Prec@1 46.250 (46.216) Prec@5 80.625 (76.668) Epoch: [32][8560/11272] Time 0.864 (0.797) Data 0.001 (0.002) Loss 1.8919 (2.1091) Prec@1 48.750 (46.216) Prec@5 81.250 (76.668) Epoch: [32][8570/11272] Time 0.737 (0.797) Data 0.003 (0.002) Loss 2.2821 (2.1090) Prec@1 48.125 (46.217) Prec@5 71.875 (76.669) Epoch: [32][8580/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 1.9482 (2.1090) Prec@1 47.500 (46.217) Prec@5 81.250 (76.669) Epoch: [32][8590/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.3109 (2.1091) Prec@1 43.125 (46.217) Prec@5 76.250 (76.668) Epoch: [32][8600/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.3633 (2.1091) Prec@1 43.125 (46.217) Prec@5 73.750 (76.669) Epoch: [32][8610/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 1.8773 (2.1091) Prec@1 45.000 (46.216) Prec@5 84.375 (76.670) Epoch: [32][8620/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.3199 (2.1092) Prec@1 43.125 (46.217) Prec@5 68.750 (76.668) Epoch: [32][8630/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.1373 (2.1092) Prec@1 46.875 (46.218) Prec@5 76.875 (76.667) Epoch: [32][8640/11272] Time 0.867 (0.797) Data 0.001 (0.002) Loss 2.3024 (2.1092) Prec@1 46.250 (46.218) Prec@5 73.750 (76.667) Epoch: [32][8650/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1035 (2.1091) Prec@1 50.000 (46.220) Prec@5 75.000 (76.669) Epoch: [32][8660/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0693 (2.1090) Prec@1 51.250 (46.222) Prec@5 76.250 (76.669) Epoch: [32][8670/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.1685 (2.1091) Prec@1 45.625 (46.222) Prec@5 69.375 (76.667) Epoch: [32][8680/11272] Time 0.813 (0.797) Data 0.002 (0.002) Loss 2.4067 (2.1091) Prec@1 45.625 (46.222) Prec@5 68.125 (76.665) Epoch: [32][8690/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9131 (2.1091) Prec@1 48.750 (46.222) Prec@5 79.375 (76.664) Epoch: [32][8700/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.2343 (2.1091) Prec@1 44.375 (46.224) Prec@5 71.250 (76.664) Epoch: [32][8710/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 2.4366 (2.1091) Prec@1 38.125 (46.222) Prec@5 75.625 (76.665) Epoch: [32][8720/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.0088 (2.1090) Prec@1 50.000 (46.224) Prec@5 75.625 (76.666) Epoch: [32][8730/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1927 (2.1090) Prec@1 45.625 (46.225) Prec@5 76.875 (76.666) Epoch: [32][8740/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9193 (2.1090) Prec@1 50.000 (46.225) Prec@5 78.750 (76.665) Epoch: [32][8750/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0444 (2.1090) Prec@1 49.375 (46.226) Prec@5 74.375 (76.665) Epoch: [32][8760/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.3571 (2.1091) Prec@1 43.125 (46.225) Prec@5 72.500 (76.663) Epoch: [32][8770/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.9253 (2.1091) Prec@1 50.000 (46.224) Prec@5 79.375 (76.663) Epoch: [32][8780/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.1802 (2.1092) Prec@1 45.000 (46.224) Prec@5 75.625 (76.662) Epoch: [32][8790/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.0444 (2.1091) Prec@1 43.750 (46.225) Prec@5 80.000 (76.662) Epoch: [32][8800/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0470 (2.1091) Prec@1 48.125 (46.225) Prec@5 78.750 (76.661) Epoch: [32][8810/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.0580 (2.1091) Prec@1 48.750 (46.226) Prec@5 75.625 (76.661) Epoch: [32][8820/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 1.8063 (2.1092) Prec@1 53.125 (46.225) Prec@5 84.375 (76.663) Epoch: [32][8830/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.1742 (2.1091) Prec@1 40.625 (46.223) Prec@5 80.625 (76.664) Epoch: [32][8840/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.8842 (2.1091) Prec@1 46.250 (46.221) Prec@5 80.000 (76.665) Epoch: [32][8850/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.2577 (2.1091) Prec@1 45.000 (46.222) Prec@5 75.625 (76.666) Epoch: [32][8860/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 1.9874 (2.1091) Prec@1 47.500 (46.223) Prec@5 77.500 (76.666) Epoch: [32][8870/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.1316 (2.1091) Prec@1 41.875 (46.221) Prec@5 77.500 (76.666) Epoch: [32][8880/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.9623 (2.1091) Prec@1 46.250 (46.221) Prec@5 77.500 (76.666) Epoch: [32][8890/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 2.5368 (2.1092) Prec@1 38.125 (46.221) Prec@5 66.875 (76.665) Epoch: [32][8900/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.0408 (2.1092) Prec@1 49.375 (46.221) Prec@5 80.625 (76.664) Epoch: [32][8910/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.0032 (2.1091) Prec@1 46.875 (46.221) Prec@5 81.250 (76.667) Epoch: [32][8920/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0695 (2.1092) Prec@1 45.625 (46.218) Prec@5 76.875 (76.665) Epoch: [32][8930/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.9625 (2.1091) Prec@1 52.500 (46.220) Prec@5 78.125 (76.668) Epoch: [32][8940/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.2787 (2.1091) Prec@1 41.875 (46.217) Prec@5 71.250 (76.667) Epoch: [32][8950/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1006 (2.1092) Prec@1 45.000 (46.216) Prec@5 79.375 (76.666) Epoch: [32][8960/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9022 (2.1091) Prec@1 51.250 (46.218) Prec@5 80.000 (76.666) Epoch: [32][8970/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.2055 (2.1092) Prec@1 45.000 (46.217) Prec@5 73.750 (76.664) Epoch: [32][8980/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0648 (2.1092) Prec@1 43.125 (46.217) Prec@5 81.250 (76.664) Epoch: [32][8990/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9606 (2.1091) Prec@1 47.500 (46.218) Prec@5 81.250 (76.666) Epoch: [32][9000/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.0253 (2.1091) Prec@1 48.125 (46.218) Prec@5 78.750 (76.668) Epoch: [32][9010/11272] Time 0.821 (0.797) Data 0.002 (0.002) Loss 2.1140 (2.1092) Prec@1 45.625 (46.216) Prec@5 78.125 (76.667) Epoch: [32][9020/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.4756 (2.1092) Prec@1 41.250 (46.217) Prec@5 68.750 (76.667) Epoch: [32][9030/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.2421 (2.1092) Prec@1 40.625 (46.216) Prec@5 76.875 (76.667) Epoch: [32][9040/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.1935 (2.1093) Prec@1 43.125 (46.216) Prec@5 77.500 (76.668) Epoch: [32][9050/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.0276 (2.1092) Prec@1 45.625 (46.217) Prec@5 78.750 (76.669) Epoch: [32][9060/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.3371 (2.1093) Prec@1 40.000 (46.216) Prec@5 70.625 (76.667) Epoch: [32][9070/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.1636 (2.1092) Prec@1 46.250 (46.217) Prec@5 76.875 (76.668) Epoch: [32][9080/11272] Time 0.813 (0.797) Data 0.001 (0.002) Loss 2.1347 (2.1092) Prec@1 41.875 (46.216) Prec@5 76.875 (76.668) Epoch: [32][9090/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.9945 (2.1092) Prec@1 50.625 (46.218) Prec@5 76.875 (76.668) Epoch: [32][9100/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0761 (2.1092) Prec@1 48.125 (46.219) Prec@5 73.125 (76.670) Epoch: [32][9110/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0104 (2.1093) Prec@1 45.625 (46.217) Prec@5 80.000 (76.670) Epoch: [32][9120/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.1133 (2.1094) Prec@1 45.000 (46.216) Prec@5 77.500 (76.667) Epoch: [32][9130/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0660 (2.1094) Prec@1 46.250 (46.215) Prec@5 81.875 (76.668) Epoch: [32][9140/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 2.2895 (2.1095) Prec@1 43.125 (46.213) Prec@5 75.000 (76.667) Epoch: [32][9150/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1171 (2.1094) Prec@1 48.125 (46.214) Prec@5 73.125 (76.667) Epoch: [32][9160/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 2.2062 (2.1095) Prec@1 40.625 (46.215) Prec@5 72.500 (76.667) Epoch: [32][9170/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1317 (2.1095) Prec@1 45.000 (46.214) Prec@5 77.500 (76.667) Epoch: [32][9180/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9190 (2.1095) Prec@1 53.750 (46.214) Prec@5 80.625 (76.667) Epoch: [32][9190/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.3805 (2.1095) Prec@1 41.875 (46.214) Prec@5 71.250 (76.666) Epoch: [32][9200/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1963 (2.1095) Prec@1 42.500 (46.215) Prec@5 76.250 (76.667) Epoch: [32][9210/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.0924 (2.1095) Prec@1 45.625 (46.214) Prec@5 75.000 (76.666) Epoch: [32][9220/11272] Time 0.711 (0.797) Data 0.001 (0.002) Loss 2.1963 (2.1096) Prec@1 48.750 (46.214) Prec@5 74.375 (76.665) Epoch: [32][9230/11272] Time 0.893 (0.797) Data 0.001 (0.002) Loss 1.9053 (2.1096) Prec@1 51.250 (46.214) Prec@5 79.375 (76.665) Epoch: [32][9240/11272] Time 0.735 (0.797) Data 0.003 (0.002) Loss 2.0285 (2.1095) Prec@1 48.750 (46.216) Prec@5 77.500 (76.665) Epoch: [32][9250/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0119 (2.1095) Prec@1 48.125 (46.216) Prec@5 73.750 (76.665) Epoch: [32][9260/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9034 (2.1096) Prec@1 54.375 (46.215) Prec@5 80.000 (76.663) Epoch: [32][9270/11272] Time 0.913 (0.797) Data 0.002 (0.002) Loss 2.3133 (2.1096) Prec@1 43.125 (46.213) Prec@5 72.500 (76.661) Epoch: [32][9280/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1176 (2.1096) Prec@1 40.000 (46.213) Prec@5 80.625 (76.662) Epoch: [32][9290/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1891 (2.1097) Prec@1 42.500 (46.210) Prec@5 75.000 (76.661) Epoch: [32][9300/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.1061 (2.1097) Prec@1 46.875 (46.210) Prec@5 75.000 (76.660) Epoch: [32][9310/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.0101 (2.1097) Prec@1 49.375 (46.208) Prec@5 75.625 (76.659) Epoch: [32][9320/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.2506 (2.1096) Prec@1 41.250 (46.209) Prec@5 78.125 (76.661) Epoch: [32][9330/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1421 (2.1096) Prec@1 45.000 (46.208) Prec@5 74.375 (76.661) Epoch: [32][9340/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 2.2110 (2.1097) Prec@1 44.375 (46.206) Prec@5 73.750 (76.660) Epoch: [32][9350/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.3040 (2.1097) Prec@1 41.250 (46.208) Prec@5 73.750 (76.660) Epoch: [32][9360/11272] Time 0.716 (0.797) Data 0.001 (0.002) Loss 2.6612 (2.1097) Prec@1 40.000 (46.209) Prec@5 69.375 (76.660) Epoch: [32][9370/11272] Time 0.807 (0.797) Data 0.002 (0.002) Loss 2.0267 (2.1096) Prec@1 44.375 (46.208) Prec@5 80.000 (76.661) Epoch: [32][9380/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.1486 (2.1096) Prec@1 45.625 (46.209) Prec@5 75.000 (76.663) Epoch: [32][9390/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.4778 (2.1096) Prec@1 38.125 (46.209) Prec@5 68.750 (76.663) Epoch: [32][9400/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.8740 (2.1095) Prec@1 50.625 (46.211) Prec@5 80.000 (76.664) Epoch: [32][9410/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.0294 (2.1095) Prec@1 49.375 (46.211) Prec@5 78.125 (76.664) Epoch: [32][9420/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.3100 (2.1094) Prec@1 41.875 (46.214) Prec@5 70.625 (76.664) Epoch: [32][9430/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 2.1185 (2.1095) Prec@1 47.500 (46.213) Prec@5 75.000 (76.663) Epoch: [32][9440/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.1822 (2.1095) Prec@1 46.250 (46.212) Prec@5 74.375 (76.663) Epoch: [32][9450/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 2.3405 (2.1095) Prec@1 45.000 (46.213) Prec@5 71.875 (76.662) Epoch: [32][9460/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 1.8029 (2.1094) Prec@1 51.250 (46.215) Prec@5 81.875 (76.664) Epoch: [32][9470/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 2.3420 (2.1094) Prec@1 38.125 (46.215) Prec@5 72.500 (76.664) Epoch: [32][9480/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9285 (2.1094) Prec@1 49.375 (46.215) Prec@5 80.625 (76.664) Epoch: [32][9490/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.1623 (2.1094) Prec@1 43.125 (46.215) Prec@5 78.125 (76.665) Epoch: [32][9500/11272] Time 0.735 (0.797) Data 0.003 (0.002) Loss 2.1899 (2.1094) Prec@1 43.750 (46.215) Prec@5 76.250 (76.664) Epoch: [32][9510/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 1.9980 (2.1094) Prec@1 42.500 (46.214) Prec@5 81.250 (76.665) Epoch: [32][9520/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9587 (2.1094) Prec@1 45.000 (46.215) Prec@5 78.750 (76.665) Epoch: [32][9530/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.1305 (2.1093) Prec@1 43.125 (46.215) Prec@5 75.000 (76.665) Epoch: [32][9540/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 1.9752 (2.1093) Prec@1 48.750 (46.217) Prec@5 81.250 (76.665) Epoch: [32][9550/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 1.9399 (2.1093) Prec@1 48.125 (46.217) Prec@5 77.500 (76.665) Epoch: [32][9560/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.2704 (2.1093) Prec@1 40.625 (46.217) Prec@5 73.125 (76.664) Epoch: [32][9570/11272] Time 0.807 (0.797) Data 0.002 (0.002) Loss 1.9301 (2.1093) Prec@1 46.875 (46.216) Prec@5 81.250 (76.663) Epoch: [32][9580/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2289 (2.1093) Prec@1 45.625 (46.216) Prec@5 76.875 (76.665) Epoch: [32][9590/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.1542 (2.1094) Prec@1 41.875 (46.215) Prec@5 74.375 (76.663) Epoch: [32][9600/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.3161 (2.1094) Prec@1 43.750 (46.214) Prec@5 76.875 (76.663) Epoch: [32][9610/11272] Time 0.889 (0.797) Data 0.003 (0.002) Loss 2.1754 (2.1094) Prec@1 43.750 (46.212) Prec@5 74.375 (76.662) Epoch: [32][9620/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.1210 (2.1095) Prec@1 43.750 (46.209) Prec@5 75.000 (76.661) Epoch: [32][9630/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.9643 (2.1094) Prec@1 53.125 (46.208) Prec@5 81.250 (76.664) Epoch: [32][9640/11272] Time 0.890 (0.797) Data 0.002 (0.002) Loss 2.0792 (2.1094) Prec@1 42.500 (46.209) Prec@5 76.250 (76.665) Epoch: [32][9650/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 1.8676 (2.1093) Prec@1 51.250 (46.212) Prec@5 80.625 (76.666) Epoch: [32][9660/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0107 (2.1093) Prec@1 53.125 (46.211) Prec@5 75.625 (76.665) Epoch: [32][9670/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 1.9327 (2.1094) Prec@1 51.875 (46.211) Prec@5 75.625 (76.665) Epoch: [32][9680/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0871 (2.1094) Prec@1 44.375 (46.211) Prec@5 80.000 (76.665) Epoch: [32][9690/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.2080 (2.1094) Prec@1 48.750 (46.210) Prec@5 74.375 (76.665) Epoch: [32][9700/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.3015 (2.1095) Prec@1 44.375 (46.207) Prec@5 73.750 (76.663) Epoch: [32][9710/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.9856 (2.1095) Prec@1 43.750 (46.206) Prec@5 79.375 (76.663) Epoch: [32][9720/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.0288 (2.1095) Prec@1 48.125 (46.207) Prec@5 75.625 (76.663) Epoch: [32][9730/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0942 (2.1095) Prec@1 43.750 (46.209) Prec@5 75.625 (76.663) Epoch: [32][9740/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9671 (2.1095) Prec@1 48.750 (46.208) Prec@5 74.375 (76.661) Epoch: [32][9750/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.1437 (2.1095) Prec@1 43.125 (46.209) Prec@5 75.625 (76.662) Epoch: [32][9760/11272] Time 0.815 (0.797) Data 0.002 (0.002) Loss 2.2051 (2.1096) Prec@1 41.875 (46.206) Prec@5 73.125 (76.660) Epoch: [32][9770/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.1585 (2.1096) Prec@1 43.125 (46.207) Prec@5 75.000 (76.660) Epoch: [32][9780/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0830 (2.1096) Prec@1 45.000 (46.207) Prec@5 80.000 (76.660) Epoch: [32][9790/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0789 (2.1096) Prec@1 45.625 (46.208) Prec@5 76.250 (76.661) Epoch: [32][9800/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0367 (2.1096) Prec@1 48.750 (46.206) Prec@5 80.000 (76.661) Epoch: [32][9810/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9188 (2.1096) Prec@1 47.500 (46.205) Prec@5 81.250 (76.662) Epoch: [32][9820/11272] Time 0.872 (0.797) Data 0.001 (0.002) Loss 2.2355 (2.1096) Prec@1 46.250 (46.205) Prec@5 71.875 (76.660) Epoch: [32][9830/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.2135 (2.1097) Prec@1 43.750 (46.204) Prec@5 78.125 (76.658) Epoch: [32][9840/11272] Time 0.782 (0.797) Data 0.002 (0.002) Loss 2.3209 (2.1097) Prec@1 41.875 (46.202) Prec@5 71.250 (76.656) Epoch: [32][9850/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9616 (2.1097) Prec@1 48.750 (46.204) Prec@5 73.750 (76.657) Epoch: [32][9860/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.1062 (2.1097) Prec@1 46.250 (46.204) Prec@5 75.625 (76.658) Epoch: [32][9870/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2445 (2.1097) Prec@1 44.375 (46.203) Prec@5 75.625 (76.659) Epoch: [32][9880/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1402 (2.1097) Prec@1 50.625 (46.202) Prec@5 73.750 (76.658) Epoch: [32][9890/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.0884 (2.1098) Prec@1 43.125 (46.201) Prec@5 77.500 (76.658) Epoch: [32][9900/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.0521 (2.1098) Prec@1 46.875 (46.202) Prec@5 78.125 (76.658) Epoch: [32][9910/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.0415 (2.1097) Prec@1 46.875 (46.204) Prec@5 74.375 (76.657) Epoch: [32][9920/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9124 (2.1097) Prec@1 51.250 (46.205) Prec@5 78.750 (76.659) Epoch: [32][9930/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 1.7297 (2.1096) Prec@1 51.250 (46.207) Prec@5 82.500 (76.661) Epoch: [32][9940/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.5042 (2.1096) Prec@1 46.250 (46.206) Prec@5 69.375 (76.661) Epoch: [32][9950/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 2.1111 (2.1096) Prec@1 47.500 (46.207) Prec@5 77.500 (76.662) Epoch: [32][9960/11272] Time 0.786 (0.797) Data 0.002 (0.002) Loss 2.2244 (2.1096) Prec@1 41.875 (46.207) Prec@5 75.000 (76.662) Epoch: [32][9970/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 1.8945 (2.1096) Prec@1 56.875 (46.208) Prec@5 78.750 (76.662) Epoch: [32][9980/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.0071 (2.1095) Prec@1 46.875 (46.208) Prec@5 76.250 (76.663) Epoch: [32][9990/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.2677 (2.1096) Prec@1 42.500 (46.205) Prec@5 73.125 (76.661) Epoch: [32][10000/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.2241 (2.1096) Prec@1 46.875 (46.206) Prec@5 76.875 (76.662) Epoch: [32][10010/11272] Time 0.903 (0.797) Data 0.002 (0.002) Loss 2.1196 (2.1096) Prec@1 45.000 (46.205) Prec@5 76.875 (76.663) Epoch: [32][10020/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.2582 (2.1096) Prec@1 41.875 (46.205) Prec@5 74.375 (76.664) Epoch: [32][10030/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9348 (2.1095) Prec@1 50.625 (46.206) Prec@5 80.000 (76.663) Epoch: [32][10040/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 2.0489 (2.1095) Prec@1 45.625 (46.205) Prec@5 78.750 (76.665) Epoch: [32][10050/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.2494 (2.1095) Prec@1 43.125 (46.204) Prec@5 69.375 (76.664) Epoch: [32][10060/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2409 (2.1095) Prec@1 41.875 (46.203) Prec@5 74.375 (76.664) Epoch: [32][10070/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.2866 (2.1095) Prec@1 46.250 (46.204) Prec@5 72.500 (76.665) Epoch: [32][10080/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.1206 (2.1096) Prec@1 46.875 (46.204) Prec@5 77.500 (76.664) Epoch: [32][10090/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.5404 (2.1095) Prec@1 62.500 (46.206) Prec@5 83.125 (76.663) Epoch: [32][10100/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.2400 (2.1095) Prec@1 50.000 (46.207) Prec@5 75.625 (76.665) Epoch: [32][10110/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9380 (2.1095) Prec@1 54.375 (46.206) Prec@5 75.625 (76.665) Epoch: [32][10120/11272] Time 0.913 (0.797) Data 0.002 (0.002) Loss 2.1352 (2.1096) Prec@1 50.625 (46.204) Prec@5 77.500 (76.664) Epoch: [32][10130/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.8537 (2.1095) Prec@1 50.000 (46.207) Prec@5 78.125 (76.666) Epoch: [32][10140/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 2.1036 (2.1095) Prec@1 44.375 (46.207) Prec@5 77.500 (76.666) Epoch: [32][10150/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0136 (2.1095) Prec@1 48.125 (46.207) Prec@5 80.000 (76.667) Epoch: [32][10160/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 1.7772 (2.1094) Prec@1 55.000 (46.209) Prec@5 81.875 (76.669) Epoch: [32][10170/11272] Time 0.724 (0.797) Data 0.003 (0.002) Loss 1.8319 (2.1094) Prec@1 51.250 (46.209) Prec@5 80.625 (76.668) Epoch: [32][10180/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 1.7708 (2.1094) Prec@1 55.000 (46.208) Prec@5 83.750 (76.669) Epoch: [32][10190/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1345 (2.1094) Prec@1 48.125 (46.210) Prec@5 76.875 (76.668) Epoch: [32][10200/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.1851 (2.1096) Prec@1 50.625 (46.209) Prec@5 72.500 (76.665) Epoch: [32][10210/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9989 (2.1095) Prec@1 46.875 (46.210) Prec@5 77.500 (76.667) Epoch: [32][10220/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1478 (2.1095) Prec@1 45.000 (46.209) Prec@5 78.125 (76.667) Epoch: [32][10230/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 2.1529 (2.1095) Prec@1 45.000 (46.210) Prec@5 75.625 (76.667) Epoch: [32][10240/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 1.7843 (2.1096) Prec@1 52.500 (46.208) Prec@5 83.750 (76.665) Epoch: [32][10250/11272] Time 0.790 (0.797) Data 0.002 (0.002) Loss 1.9869 (2.1095) Prec@1 46.875 (46.208) Prec@5 81.875 (76.666) Epoch: [32][10260/11272] Time 0.754 (0.797) Data 0.001 (0.002) Loss 1.9705 (2.1094) Prec@1 45.625 (46.210) Prec@5 80.625 (76.668) Epoch: [32][10270/11272] Time 0.926 (0.797) Data 0.002 (0.002) Loss 2.0003 (2.1095) Prec@1 52.500 (46.208) Prec@5 78.750 (76.666) Epoch: [32][10280/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.0803 (2.1096) Prec@1 49.375 (46.207) Prec@5 76.875 (76.665) Epoch: [32][10290/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1685 (2.1095) Prec@1 46.875 (46.209) Prec@5 72.500 (76.666) Epoch: [32][10300/11272] Time 0.953 (0.797) Data 0.002 (0.002) Loss 2.0608 (2.1096) Prec@1 45.000 (46.208) Prec@5 80.625 (76.665) Epoch: [32][10310/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1577 (2.1095) Prec@1 46.875 (46.210) Prec@5 73.750 (76.666) Epoch: [32][10320/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.2897 (2.1095) Prec@1 46.250 (46.210) Prec@5 75.000 (76.666) Epoch: [32][10330/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9825 (2.1094) Prec@1 49.375 (46.210) Prec@5 80.625 (76.669) Epoch: [32][10340/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.1702 (2.1095) Prec@1 46.250 (46.210) Prec@5 76.250 (76.668) Epoch: [32][10350/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.8722 (2.1094) Prec@1 50.000 (46.211) Prec@5 77.500 (76.668) Epoch: [32][10360/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.3381 (2.1095) Prec@1 36.875 (46.208) Prec@5 73.125 (76.667) Epoch: [32][10370/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0933 (2.1094) Prec@1 41.250 (46.210) Prec@5 78.125 (76.669) Epoch: [32][10380/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.0887 (2.1093) Prec@1 48.125 (46.211) Prec@5 75.625 (76.670) Epoch: [32][10390/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 2.2635 (2.1094) Prec@1 41.875 (46.210) Prec@5 76.875 (76.670) Epoch: [32][10400/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1006 (2.1094) Prec@1 45.625 (46.208) Prec@5 75.625 (76.670) Epoch: [32][10410/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1359 (2.1094) Prec@1 53.750 (46.209) Prec@5 76.875 (76.670) Epoch: [32][10420/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9672 (2.1094) Prec@1 47.500 (46.210) Prec@5 78.750 (76.671) Epoch: [32][10430/11272] Time 0.724 (0.797) Data 0.003 (0.002) Loss 2.1127 (2.1094) Prec@1 45.000 (46.208) Prec@5 77.500 (76.672) Epoch: [32][10440/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0716 (2.1094) Prec@1 44.375 (46.207) Prec@5 72.500 (76.673) Epoch: [32][10450/11272] Time 0.868 (0.797) Data 0.001 (0.002) Loss 2.4619 (2.1095) Prec@1 43.125 (46.206) Prec@5 70.000 (76.672) Epoch: [32][10460/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.1835 (2.1095) Prec@1 46.875 (46.207) Prec@5 73.125 (76.673) Epoch: [32][10470/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.3706 (2.1096) Prec@1 35.625 (46.203) Prec@5 75.000 (76.671) Epoch: [32][10480/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0393 (2.1096) Prec@1 46.250 (46.202) Prec@5 81.250 (76.671) Epoch: [32][10490/11272] Time 0.861 (0.797) Data 0.002 (0.002) Loss 2.0787 (2.1096) Prec@1 52.500 (46.204) Prec@5 73.125 (76.671) Epoch: [32][10500/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1867 (2.1096) Prec@1 44.375 (46.204) Prec@5 71.875 (76.672) Epoch: [32][10510/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.0424 (2.1096) Prec@1 45.625 (46.203) Prec@5 75.625 (76.671) Epoch: [32][10520/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.1410 (2.1096) Prec@1 46.875 (46.202) Prec@5 77.500 (76.671) Epoch: [32][10530/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0039 (2.1097) Prec@1 48.750 (46.201) Prec@5 78.125 (76.670) Epoch: [32][10540/11272] Time 0.823 (0.797) Data 0.002 (0.002) Loss 1.9558 (2.1097) Prec@1 49.375 (46.202) Prec@5 79.375 (76.670) Epoch: [32][10550/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.0412 (2.1097) Prec@1 43.750 (46.204) Prec@5 78.750 (76.670) Epoch: [32][10560/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9229 (2.1096) Prec@1 43.125 (46.203) Prec@5 83.125 (76.672) Epoch: [32][10570/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0724 (2.1096) Prec@1 44.375 (46.205) Prec@5 80.625 (76.674) Epoch: [32][10580/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 1.8642 (2.1096) Prec@1 53.750 (46.205) Prec@5 81.250 (76.673) Epoch: [32][10590/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.0393 (2.1096) Prec@1 45.625 (46.205) Prec@5 78.750 (76.673) Epoch: [32][10600/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 2.0507 (2.1096) Prec@1 43.125 (46.203) Prec@5 78.125 (76.673) Epoch: [32][10610/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.0431 (2.1096) Prec@1 46.250 (46.204) Prec@5 76.875 (76.672) Epoch: [32][10620/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0729 (2.1096) Prec@1 44.375 (46.204) Prec@5 77.500 (76.672) Epoch: [32][10630/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2629 (2.1096) Prec@1 39.375 (46.202) Prec@5 74.375 (76.672) Epoch: [32][10640/11272] Time 0.903 (0.797) Data 0.002 (0.002) Loss 2.0330 (2.1096) Prec@1 51.250 (46.202) Prec@5 80.000 (76.671) Epoch: [32][10650/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.1084 (2.1097) Prec@1 46.875 (46.201) Prec@5 73.750 (76.670) Epoch: [32][10660/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.0660 (2.1097) Prec@1 48.750 (46.199) Prec@5 75.625 (76.670) Epoch: [32][10670/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.0958 (2.1097) Prec@1 48.125 (46.199) Prec@5 76.875 (76.670) Epoch: [32][10680/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.8431 (2.1097) Prec@1 56.875 (46.200) Prec@5 79.375 (76.670) Epoch: [32][10690/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0203 (2.1096) Prec@1 53.125 (46.201) Prec@5 75.000 (76.671) Epoch: [32][10700/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1768 (2.1096) Prec@1 48.750 (46.201) Prec@5 75.625 (76.670) Epoch: [32][10710/11272] Time 0.855 (0.797) Data 0.001 (0.002) Loss 1.9003 (2.1097) Prec@1 50.625 (46.199) Prec@5 77.500 (76.669) Epoch: [32][10720/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.7784 (2.1097) Prec@1 51.875 (46.199) Prec@5 78.750 (76.668) Epoch: [32][10730/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.3563 (2.1097) Prec@1 45.000 (46.199) Prec@5 75.000 (76.669) Epoch: [32][10740/11272] Time 0.760 (0.797) Data 0.001 (0.002) Loss 2.0556 (2.1097) Prec@1 46.250 (46.197) Prec@5 78.125 (76.668) Epoch: [32][10750/11272] Time 0.868 (0.797) Data 0.003 (0.002) Loss 2.0378 (2.1097) Prec@1 45.625 (46.198) Prec@5 78.125 (76.668) Epoch: [32][10760/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1734 (2.1097) Prec@1 47.500 (46.197) Prec@5 75.625 (76.668) Epoch: [32][10770/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9811 (2.1097) Prec@1 42.500 (46.197) Prec@5 79.375 (76.668) Epoch: [32][10780/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0412 (2.1097) Prec@1 45.000 (46.197) Prec@5 81.250 (76.669) Epoch: [32][10790/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0937 (2.1097) Prec@1 44.375 (46.196) Prec@5 78.750 (76.669) Epoch: [32][10800/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.2122 (2.1097) Prec@1 43.750 (46.197) Prec@5 73.750 (76.669) Epoch: [32][10810/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1914 (2.1097) Prec@1 44.375 (46.196) Prec@5 73.125 (76.669) Epoch: [32][10820/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.0162 (2.1097) Prec@1 46.250 (46.196) Prec@5 80.000 (76.668) Epoch: [32][10830/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 1.9502 (2.1096) Prec@1 50.625 (46.197) Prec@5 81.250 (76.671) Epoch: [32][10840/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.0564 (2.1096) Prec@1 48.750 (46.196) Prec@5 76.875 (76.672) Epoch: [32][10850/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1698 (2.1097) Prec@1 48.750 (46.195) Prec@5 72.500 (76.670) Epoch: [32][10860/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.0638 (2.1097) Prec@1 45.625 (46.195) Prec@5 79.375 (76.671) Epoch: [32][10870/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.2446 (2.1097) Prec@1 44.375 (46.197) Prec@5 72.500 (76.671) Epoch: [32][10880/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.2901 (2.1097) Prec@1 42.500 (46.196) Prec@5 73.750 (76.670) Epoch: [32][10890/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.3355 (2.1097) Prec@1 38.750 (46.193) Prec@5 71.875 (76.669) Epoch: [32][10900/11272] Time 0.818 (0.797) Data 0.002 (0.002) Loss 2.0109 (2.1097) Prec@1 50.625 (46.193) Prec@5 79.375 (76.671) Epoch: [32][10910/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.1204 (2.1097) Prec@1 48.125 (46.193) Prec@5 77.500 (76.670) Epoch: [32][10920/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.3639 (2.1098) Prec@1 36.250 (46.192) Prec@5 75.000 (76.669) Epoch: [32][10930/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 2.3302 (2.1098) Prec@1 41.875 (46.192) Prec@5 75.625 (76.669) Epoch: [32][10940/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 1.9986 (2.1099) Prec@1 49.375 (46.192) Prec@5 76.250 (76.669) Epoch: [32][10950/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.2601 (2.1099) Prec@1 46.250 (46.191) Prec@5 73.750 (76.668) Epoch: [32][10960/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.2678 (2.1099) Prec@1 43.750 (46.190) Prec@5 74.375 (76.667) Epoch: [32][10970/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 2.0468 (2.1100) Prec@1 42.500 (46.190) Prec@5 77.500 (76.666) Epoch: [32][10980/11272] Time 0.899 (0.797) Data 0.002 (0.002) Loss 2.0135 (2.1099) Prec@1 46.250 (46.189) Prec@5 78.125 (76.666) Epoch: [32][10990/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.0720 (2.1099) Prec@1 47.500 (46.190) Prec@5 76.250 (76.666) Epoch: [32][11000/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9436 (2.1099) Prec@1 46.875 (46.193) Prec@5 81.875 (76.666) Epoch: [32][11010/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.2110 (2.1100) Prec@1 47.500 (46.191) Prec@5 73.125 (76.665) Epoch: [32][11020/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.1428 (2.1099) Prec@1 45.625 (46.194) Prec@5 73.750 (76.666) Epoch: [32][11030/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.6668 (2.1098) Prec@1 56.250 (46.196) Prec@5 85.000 (76.667) Epoch: [32][11040/11272] Time 0.780 (0.797) Data 0.002 (0.002) Loss 2.1940 (2.1099) Prec@1 45.625 (46.194) Prec@5 78.125 (76.666) Epoch: [32][11050/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1096 (2.1099) Prec@1 46.875 (46.194) Prec@5 72.500 (76.667) Epoch: [32][11060/11272] Time 0.876 (0.797) Data 0.001 (0.002) Loss 1.8876 (2.1098) Prec@1 54.375 (46.194) Prec@5 77.500 (76.667) Epoch: [32][11070/11272] Time 0.718 (0.797) Data 0.002 (0.002) Loss 2.0830 (2.1098) Prec@1 43.125 (46.194) Prec@5 80.000 (76.667) Epoch: [32][11080/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0661 (2.1099) Prec@1 48.125 (46.193) Prec@5 75.000 (76.667) Epoch: [32][11090/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0610 (2.1099) Prec@1 45.000 (46.193) Prec@5 75.625 (76.667) Epoch: [32][11100/11272] Time 0.776 (0.797) Data 0.004 (0.002) Loss 2.1386 (2.1098) Prec@1 41.875 (46.193) Prec@5 76.250 (76.667) Epoch: [32][11110/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.3044 (2.1098) Prec@1 38.125 (46.193) Prec@5 73.750 (76.668) Epoch: [32][11120/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9810 (2.1099) Prec@1 48.750 (46.192) Prec@5 78.750 (76.668) Epoch: [32][11130/11272] Time 0.861 (0.797) Data 0.003 (0.002) Loss 2.0680 (2.1098) Prec@1 49.375 (46.193) Prec@5 77.500 (76.668) Epoch: [32][11140/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.0227 (2.1099) Prec@1 51.250 (46.192) Prec@5 79.375 (76.667) Epoch: [32][11150/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.9422 (2.1099) Prec@1 48.750 (46.192) Prec@5 80.000 (76.667) Epoch: [32][11160/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 2.0471 (2.1099) Prec@1 43.750 (46.193) Prec@5 76.875 (76.666) Epoch: [32][11170/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.3712 (2.1099) Prec@1 37.500 (46.192) Prec@5 70.000 (76.665) Epoch: [32][11180/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0112 (2.1099) Prec@1 46.875 (46.192) Prec@5 78.750 (76.664) Epoch: [32][11190/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9068 (2.1099) Prec@1 48.750 (46.192) Prec@5 84.375 (76.665) Epoch: [32][11200/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 2.4405 (2.1099) Prec@1 39.375 (46.192) Prec@5 69.375 (76.665) Epoch: [32][11210/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.9522 (2.1099) Prec@1 51.250 (46.192) Prec@5 77.500 (76.664) Epoch: [32][11220/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.1463 (2.1100) Prec@1 45.000 (46.192) Prec@5 79.375 (76.663) Epoch: [32][11230/11272] Time 0.902 (0.797) Data 0.002 (0.002) Loss 1.9769 (2.1100) Prec@1 48.750 (46.192) Prec@5 79.375 (76.663) Epoch: [32][11240/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 2.1780 (2.1101) Prec@1 44.375 (46.190) Prec@5 75.625 (76.662) Epoch: [32][11250/11272] Time 0.760 (0.797) Data 0.001 (0.002) Loss 2.0217 (2.1101) Prec@1 48.125 (46.189) Prec@5 81.250 (76.663) Epoch: [32][11260/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.3366 (2.1101) Prec@1 47.500 (46.190) Prec@5 76.250 (76.664) Epoch: [32][11270/11272] Time 0.805 (0.797) Data 0.000 (0.002) Loss 1.9435 (2.1101) Prec@1 55.000 (46.191) Prec@5 81.250 (76.663) Test: [0/229] Time 1.723 (1.723) Loss 1.1922 (1.1922) Prec@1 60.625 (60.625) Prec@5 95.000 (95.000) Test: [10/229] Time 0.332 (0.508) Loss 1.2541 (1.6931) Prec@1 61.250 (53.920) Prec@5 94.375 (85.909) Test: [20/229] Time 0.432 (0.453) Loss 2.3139 (1.7908) Prec@1 42.500 (51.845) Prec@5 75.000 (84.137) Test: [30/229] Time 0.343 (0.430) Loss 1.9680 (1.7054) Prec@1 46.250 (54.476) Prec@5 83.750 (84.960) Test: [40/229] Time 0.455 (0.420) Loss 0.4811 (1.7188) Prec@1 90.625 (53.963) Prec@5 95.000 (84.512) Test: [50/229] Time 0.367 (0.411) Loss 2.6573 (1.7681) Prec@1 25.625 (53.051) Prec@5 69.375 (83.346) Test: [60/229] Time 0.356 (0.410) Loss 2.0634 (1.7537) Prec@1 39.375 (53.227) Prec@5 81.875 (83.648) Test: [70/229] Time 0.420 (0.406) Loss 1.4526 (1.7651) Prec@1 61.875 (52.843) Prec@5 84.375 (83.539) Test: [80/229] Time 0.343 (0.403) Loss 2.2340 (1.7868) Prec@1 33.750 (52.122) Prec@5 83.125 (83.565) Test: [90/229] Time 0.398 (0.402) Loss 1.3676 (1.7870) Prec@1 65.625 (52.115) Prec@5 86.875 (83.716) Test: [100/229] Time 0.329 (0.400) Loss 2.1670 (1.7802) Prec@1 53.125 (52.537) Prec@5 81.875 (83.787) Test: [110/229] Time 0.333 (0.399) Loss 1.6004 (1.7669) Prec@1 56.875 (52.798) Prec@5 85.625 (83.863) Test: [120/229] Time 0.444 (0.399) Loss 2.8259 (1.7892) Prec@1 26.875 (52.211) Prec@5 68.125 (83.512) Test: [130/229] Time 0.340 (0.398) Loss 1.4437 (1.7815) Prec@1 58.750 (52.424) Prec@5 86.250 (83.602) Test: [140/229] Time 0.519 (0.398) Loss 1.8652 (1.7932) Prec@1 48.125 (52.181) Prec@5 81.875 (83.457) Test: [150/229] Time 0.370 (0.397) Loss 1.2623 (1.8038) Prec@1 73.750 (51.854) Prec@5 86.875 (83.361) Test: [160/229] Time 0.391 (0.397) Loss 1.9227 (1.8040) Prec@1 56.250 (51.817) Prec@5 86.250 (83.393) Test: [170/229] Time 0.342 (0.396) Loss 2.0335 (1.8142) Prec@1 47.500 (51.473) Prec@5 78.750 (83.202) Test: [180/229] Time 0.365 (0.395) Loss 2.6903 (1.8230) Prec@1 31.250 (51.398) Prec@5 60.625 (82.928) Test: [190/229] Time 0.399 (0.395) Loss 1.3051 (1.8107) Prec@1 65.625 (51.806) Prec@5 92.500 (83.017) Test: [200/229] Time 0.338 (0.394) Loss 1.7122 (1.8002) Prec@1 49.375 (51.922) Prec@5 83.125 (83.225) Test: [210/229] Time 0.440 (0.394) Loss 1.1093 (1.7930) Prec@1 63.125 (52.118) Prec@5 93.125 (83.335) Test: [220/229] Time 0.413 (0.394) Loss 1.7565 (1.7822) Prec@1 49.375 (52.449) Prec@5 83.750 (83.436) * Prec@1 52.783 Prec@5 83.499 Epoch: [33][0/11272] Time 2.902 (2.902) Data 2.071 (2.071) Loss 2.1987 (2.1987) Prec@1 43.750 (43.750) Prec@5 75.000 (75.000) Epoch: [33][10/11272] Time 0.820 (0.993) Data 0.001 (0.190) Loss 1.7540 (2.0345) Prec@1 53.750 (48.409) Prec@5 83.750 (78.182) Epoch: [33][20/11272] Time 0.820 (0.891) Data 0.002 (0.100) Loss 2.0454 (2.0772) Prec@1 44.375 (47.500) Prec@5 79.375 (77.530) Epoch: [33][30/11272] Time 0.727 (0.856) Data 0.002 (0.068) Loss 2.0709 (2.0868) Prec@1 44.375 (47.198) Prec@5 78.750 (77.117) Epoch: [33][40/11272] Time 0.848 (0.845) Data 0.002 (0.052) Loss 2.2193 (2.1002) Prec@1 45.000 (46.982) Prec@5 75.000 (76.890) Epoch: [33][50/11272] Time 0.836 (0.835) Data 0.002 (0.042) Loss 1.9757 (2.0931) Prec@1 45.000 (47.047) Prec@5 80.000 (76.765) Epoch: [33][60/11272] Time 0.724 (0.828) Data 0.001 (0.035) Loss 1.9296 (2.0799) Prec@1 51.250 (47.316) Prec@5 83.750 (77.131) Epoch: [33][70/11272] Time 0.736 (0.822) Data 0.002 (0.031) Loss 1.9740 (2.0642) Prec@1 48.750 (47.614) Prec@5 80.625 (77.421) Epoch: [33][80/11272] Time 0.882 (0.819) Data 0.002 (0.027) Loss 1.9568 (2.0604) Prec@1 45.625 (47.647) Prec@5 79.375 (77.546) Epoch: [33][90/11272] Time 0.844 (0.816) Data 0.002 (0.024) Loss 2.2362 (2.0589) Prec@1 45.625 (47.644) Prec@5 71.250 (77.527) Epoch: [33][100/11272] Time 0.750 (0.812) Data 0.001 (0.022) Loss 2.3492 (2.0597) Prec@1 40.625 (47.599) Prec@5 73.750 (77.537) Epoch: [33][110/11272] Time 0.739 (0.810) Data 0.001 (0.020) Loss 1.8947 (2.0580) Prec@1 43.750 (47.618) Prec@5 81.875 (77.500) Epoch: [33][120/11272] Time 0.842 (0.809) Data 0.001 (0.019) Loss 2.0120 (2.0604) Prec@1 48.125 (47.583) Prec@5 78.125 (77.448) Epoch: [33][130/11272] Time 0.825 (0.807) Data 0.002 (0.017) Loss 2.0128 (2.0605) Prec@1 47.500 (47.581) Prec@5 78.750 (77.405) Epoch: [33][140/11272] Time 0.743 (0.806) Data 0.002 (0.016) Loss 2.0525 (2.0626) Prec@1 47.500 (47.465) Prec@5 79.375 (77.434) Epoch: [33][150/11272] Time 0.728 (0.805) Data 0.002 (0.015) Loss 2.0418 (2.0633) Prec@1 48.125 (47.434) Prec@5 78.125 (77.363) Epoch: [33][160/11272] Time 0.882 (0.805) Data 0.002 (0.014) Loss 2.1426 (2.0628) Prec@1 43.750 (47.306) Prec@5 76.875 (77.442) Epoch: [33][170/11272] Time 0.728 (0.804) Data 0.003 (0.014) Loss 2.3025 (2.0640) Prec@1 43.750 (47.299) Prec@5 70.625 (77.449) Epoch: [33][180/11272] Time 0.746 (0.803) Data 0.002 (0.013) Loss 1.8997 (2.0649) Prec@1 45.625 (47.293) Prec@5 83.750 (77.421) Epoch: [33][190/11272] Time 0.837 (0.803) Data 0.001 (0.012) Loss 2.0589 (2.0657) Prec@1 45.000 (47.294) Prec@5 77.500 (77.376) Epoch: [33][200/11272] Time 0.863 (0.803) Data 0.002 (0.012) Loss 1.8715 (2.0663) Prec@1 52.500 (47.348) Prec@5 82.500 (77.366) Epoch: [33][210/11272] Time 0.778 (0.804) Data 0.002 (0.011) Loss 2.0875 (2.0660) Prec@1 48.125 (47.358) Prec@5 76.875 (77.393) Epoch: [33][220/11272] Time 0.748 (0.804) Data 0.002 (0.011) Loss 2.4815 (2.0668) Prec@1 43.125 (47.370) Prec@5 70.625 (77.384) Epoch: [33][230/11272] Time 0.851 (0.803) Data 0.002 (0.011) Loss 2.1252 (2.0677) Prec@1 42.500 (47.297) Prec@5 76.875 (77.348) Epoch: [33][240/11272] Time 0.820 (0.803) Data 0.001 (0.010) Loss 2.0709 (2.0664) Prec@1 45.625 (47.277) Prec@5 80.625 (77.386) Epoch: [33][250/11272] Time 0.728 (0.802) Data 0.002 (0.010) Loss 2.0795 (2.0646) Prec@1 48.125 (47.311) Prec@5 76.875 (77.378) Epoch: [33][260/11272] Time 0.729 (0.802) Data 0.002 (0.010) Loss 2.0581 (2.0665) Prec@1 46.250 (47.239) Prec@5 81.250 (77.349) Epoch: [33][270/11272] Time 0.851 (0.802) Data 0.002 (0.009) Loss 2.1469 (2.0657) Prec@1 43.750 (47.242) Prec@5 76.250 (77.371) Epoch: [33][280/11272] Time 0.859 (0.802) Data 0.002 (0.009) Loss 2.1316 (2.0690) Prec@1 44.375 (47.113) Prec@5 75.625 (77.369) Epoch: [33][290/11272] Time 0.740 (0.801) Data 0.002 (0.009) Loss 2.1831 (2.0687) Prec@1 44.375 (47.094) Prec@5 75.000 (77.390) Epoch: [33][300/11272] Time 0.874 (0.801) Data 0.002 (0.009) Loss 2.0352 (2.0733) Prec@1 46.875 (47.008) Prec@5 81.250 (77.342) Epoch: [33][310/11272] Time 0.876 (0.801) Data 0.002 (0.008) Loss 2.1604 (2.0751) Prec@1 46.875 (46.996) Prec@5 73.750 (77.289) Epoch: [33][320/11272] Time 0.715 (0.801) Data 0.001 (0.008) Loss 2.0065 (2.0757) Prec@1 48.125 (46.957) Prec@5 80.625 (77.288) Epoch: [33][330/11272] Time 0.759 (0.801) Data 0.002 (0.008) Loss 2.0079 (2.0755) Prec@1 46.250 (46.962) Prec@5 78.750 (77.309) Epoch: [33][340/11272] Time 0.855 (0.801) Data 0.002 (0.008) Loss 2.1355 (2.0792) Prec@1 47.500 (46.897) Prec@5 74.375 (77.240) Epoch: [33][350/11272] Time 0.798 (0.801) Data 0.001 (0.008) Loss 2.4015 (2.0809) Prec@1 45.000 (46.836) Prec@5 70.000 (77.212) Epoch: [33][360/11272] Time 0.728 (0.800) Data 0.001 (0.007) Loss 2.0887 (2.0805) Prec@1 48.750 (46.863) Prec@5 71.875 (77.226) Epoch: [33][370/11272] Time 0.728 (0.800) Data 0.001 (0.007) Loss 2.1237 (2.0817) Prec@1 46.250 (46.867) Prec@5 77.500 (77.193) Epoch: [33][380/11272] Time 0.818 (0.800) Data 0.002 (0.007) Loss 2.0096 (2.0806) Prec@1 40.000 (46.860) Prec@5 81.250 (77.241) Epoch: [33][390/11272] Time 0.831 (0.800) Data 0.002 (0.007) Loss 2.0860 (2.0798) Prec@1 48.125 (46.885) Prec@5 80.000 (77.270) Epoch: [33][400/11272] Time 0.771 (0.800) Data 0.002 (0.007) Loss 2.2155 (2.0790) Prec@1 41.875 (46.900) Prec@5 70.625 (77.302) Epoch: [33][410/11272] Time 0.742 (0.800) Data 0.002 (0.007) Loss 1.7516 (2.0778) Prec@1 53.750 (46.922) Prec@5 83.750 (77.314) Epoch: [33][420/11272] Time 0.865 (0.800) Data 0.002 (0.007) Loss 1.9637 (2.0779) Prec@1 50.625 (46.914) Prec@5 80.000 (77.317) Epoch: [33][430/11272] Time 0.830 (0.800) Data 0.002 (0.006) Loss 1.9129 (2.0780) Prec@1 48.750 (46.910) Prec@5 76.250 (77.336) Epoch: [33][440/11272] Time 0.747 (0.800) Data 0.002 (0.006) Loss 2.0185 (2.0794) Prec@1 47.500 (46.854) Prec@5 73.125 (77.306) Epoch: [33][450/11272] Time 0.880 (0.800) Data 0.002 (0.006) Loss 2.0587 (2.0787) Prec@1 51.250 (46.858) Prec@5 79.375 (77.334) Epoch: [33][460/11272] Time 0.870 (0.800) Data 0.002 (0.006) Loss 1.9876 (2.0784) Prec@1 52.500 (46.867) Prec@5 78.750 (77.325) Epoch: [33][470/11272] Time 0.749 (0.800) Data 0.003 (0.006) Loss 1.8681 (2.0759) Prec@1 53.125 (46.932) Prec@5 80.625 (77.363) Epoch: [33][480/11272] Time 0.726 (0.799) Data 0.002 (0.006) Loss 2.4165 (2.0767) Prec@1 43.750 (46.914) Prec@5 74.375 (77.341) Epoch: [33][490/11272] Time 0.878 (0.800) Data 0.002 (0.006) Loss 2.1184 (2.0754) Prec@1 48.750 (46.960) Prec@5 76.250 (77.373) Epoch: [33][500/11272] Time 0.829 (0.800) Data 0.002 (0.006) Loss 2.1604 (2.0761) Prec@1 46.250 (46.949) Prec@5 73.750 (77.349) Epoch: [33][510/11272] Time 0.729 (0.800) Data 0.001 (0.006) Loss 2.2068 (2.0764) Prec@1 47.500 (46.924) Prec@5 75.625 (77.353) Epoch: [33][520/11272] Time 0.758 (0.800) Data 0.001 (0.006) Loss 2.1973 (2.0768) Prec@1 41.250 (46.901) Prec@5 77.500 (77.334) Epoch: [33][530/11272] Time 0.837 (0.800) Data 0.002 (0.006) Loss 2.3490 (2.0784) Prec@1 41.250 (46.875) Prec@5 68.125 (77.316) Epoch: [33][540/11272] Time 0.894 (0.800) Data 0.001 (0.005) Loss 1.7834 (2.0778) Prec@1 50.625 (46.883) Prec@5 85.000 (77.339) Epoch: [33][550/11272] Time 0.723 (0.800) Data 0.001 (0.005) Loss 2.0262 (2.0768) Prec@1 45.000 (46.895) Prec@5 77.500 (77.349) Epoch: [33][560/11272] Time 0.752 (0.800) Data 0.001 (0.005) Loss 2.2308 (2.0776) Prec@1 41.875 (46.903) Prec@5 75.000 (77.345) Epoch: [33][570/11272] Time 0.831 (0.800) Data 0.002 (0.005) Loss 2.2743 (2.0788) Prec@1 43.750 (46.873) Prec@5 67.500 (77.316) Epoch: [33][580/11272] Time 0.724 (0.800) Data 0.001 (0.005) Loss 2.1903 (2.0804) Prec@1 41.875 (46.847) Prec@5 77.500 (77.309) Epoch: [33][590/11272] Time 0.749 (0.800) Data 0.002 (0.005) Loss 1.7755 (2.0811) Prec@1 50.000 (46.828) Prec@5 85.000 (77.312) Epoch: [33][600/11272] Time 0.867 (0.800) Data 0.003 (0.005) Loss 2.2519 (2.0814) Prec@1 42.500 (46.822) Prec@5 75.625 (77.285) Epoch: [33][610/11272] Time 0.823 (0.800) Data 0.001 (0.005) Loss 2.2976 (2.0829) Prec@1 38.750 (46.791) Prec@5 70.625 (77.251) Epoch: [33][620/11272] Time 0.784 (0.800) Data 0.002 (0.005) Loss 2.3083 (2.0821) Prec@1 41.875 (46.807) Prec@5 76.250 (77.241) Epoch: [33][630/11272] Time 0.733 (0.800) Data 0.002 (0.005) Loss 2.2468 (2.0820) Prec@1 46.875 (46.801) Prec@5 75.000 (77.236) Epoch: [33][640/11272] Time 0.858 (0.800) Data 0.002 (0.005) Loss 2.3279 (2.0827) Prec@1 41.250 (46.789) Prec@5 74.375 (77.231) Epoch: [33][650/11272] Time 0.831 (0.799) Data 0.002 (0.005) Loss 2.3505 (2.0832) Prec@1 38.750 (46.751) Prec@5 73.125 (77.224) Epoch: [33][660/11272] Time 0.700 (0.799) Data 0.001 (0.005) Loss 2.1081 (2.0847) Prec@1 44.375 (46.729) Prec@5 76.250 (77.205) Epoch: [33][670/11272] Time 0.731 (0.799) Data 0.002 (0.005) Loss 2.1797 (2.0837) Prec@1 43.750 (46.768) Prec@5 76.250 (77.213) Epoch: [33][680/11272] Time 0.879 (0.799) Data 0.002 (0.005) Loss 2.2191 (2.0827) Prec@1 41.250 (46.798) Prec@5 73.750 (77.229) Epoch: [33][690/11272] Time 0.844 (0.799) Data 0.002 (0.005) Loss 2.2031 (2.0829) Prec@1 46.875 (46.795) Prec@5 75.000 (77.213) Epoch: [33][700/11272] Time 0.741 (0.799) Data 0.002 (0.005) Loss 2.1758 (2.0840) Prec@1 45.000 (46.787) Prec@5 72.500 (77.190) Epoch: [33][710/11272] Time 0.842 (0.799) Data 0.001 (0.005) Loss 1.8073 (2.0838) Prec@1 53.750 (46.777) Prec@5 80.625 (77.197) Epoch: [33][720/11272] Time 0.897 (0.799) Data 0.002 (0.005) Loss 2.0864 (2.0838) Prec@1 48.125 (46.799) Prec@5 78.125 (77.200) Epoch: [33][730/11272] Time 0.795 (0.799) Data 0.002 (0.004) Loss 2.2355 (2.0842) Prec@1 45.625 (46.784) Prec@5 73.750 (77.194) Epoch: [33][740/11272] Time 0.716 (0.799) Data 0.001 (0.004) Loss 1.7985 (2.0835) Prec@1 51.875 (46.797) Prec@5 83.125 (77.209) Epoch: [33][750/11272] Time 0.853 (0.799) Data 0.002 (0.004) Loss 1.9361 (2.0830) Prec@1 48.750 (46.813) Prec@5 76.250 (77.210) Epoch: [33][760/11272] Time 0.856 (0.799) Data 0.002 (0.004) Loss 2.1464 (2.0817) Prec@1 45.625 (46.827) Prec@5 74.375 (77.236) Epoch: [33][770/11272] Time 0.749 (0.799) Data 0.002 (0.004) Loss 2.0046 (2.0809) Prec@1 46.250 (46.851) Prec@5 79.375 (77.249) Epoch: [33][780/11272] Time 0.741 (0.799) Data 0.002 (0.004) Loss 1.9242 (2.0806) Prec@1 46.250 (46.846) Prec@5 80.000 (77.255) Epoch: [33][790/11272] Time 0.864 (0.799) Data 0.001 (0.004) Loss 2.0514 (2.0797) Prec@1 43.750 (46.874) Prec@5 81.250 (77.263) Epoch: [33][800/11272] Time 0.822 (0.799) Data 0.001 (0.004) Loss 2.2437 (2.0808) Prec@1 45.625 (46.855) Prec@5 73.125 (77.252) Epoch: [33][810/11272] Time 0.742 (0.799) Data 0.002 (0.004) Loss 2.0969 (2.0809) Prec@1 49.375 (46.857) Prec@5 78.125 (77.244) Epoch: [33][820/11272] Time 0.727 (0.799) Data 0.001 (0.004) Loss 2.0124 (2.0811) Prec@1 45.000 (46.848) Prec@5 75.000 (77.239) Epoch: [33][830/11272] Time 0.846 (0.799) Data 0.001 (0.004) Loss 1.7948 (2.0815) Prec@1 53.750 (46.827) Prec@5 82.500 (77.234) Epoch: [33][840/11272] Time 0.736 (0.799) Data 0.003 (0.004) Loss 2.3164 (2.0821) Prec@1 43.750 (46.811) Prec@5 69.375 (77.233) Epoch: [33][850/11272] Time 0.750 (0.798) Data 0.002 (0.004) Loss 2.0940 (2.0819) Prec@1 51.875 (46.820) Prec@5 77.500 (77.244) Epoch: [33][860/11272] Time 0.838 (0.799) Data 0.002 (0.004) Loss 1.9940 (2.0818) Prec@1 46.875 (46.823) Prec@5 80.625 (77.251) Epoch: [33][870/11272] Time 0.843 (0.799) Data 0.002 (0.004) Loss 2.1198 (2.0826) Prec@1 43.750 (46.792) Prec@5 76.875 (77.248) Epoch: [33][880/11272] Time 0.733 (0.799) Data 0.002 (0.004) Loss 2.3593 (2.0831) Prec@1 43.750 (46.786) Prec@5 71.875 (77.239) Epoch: [33][890/11272] Time 0.736 (0.798) Data 0.002 (0.004) Loss 2.1098 (2.0833) Prec@1 45.625 (46.785) Prec@5 75.000 (77.238) Epoch: [33][900/11272] Time 0.874 (0.799) Data 0.002 (0.004) Loss 2.2353 (2.0842) Prec@1 41.875 (46.770) Prec@5 73.125 (77.214) Epoch: [33][910/11272] Time 0.852 (0.799) Data 0.002 (0.004) Loss 2.1260 (2.0840) Prec@1 45.625 (46.768) Prec@5 76.250 (77.222) Epoch: [33][920/11272] Time 0.756 (0.799) Data 0.002 (0.004) Loss 2.1409 (2.0840) Prec@1 46.875 (46.776) Prec@5 72.500 (77.219) Epoch: [33][930/11272] Time 0.729 (0.798) Data 0.002 (0.004) Loss 2.2034 (2.0849) Prec@1 44.375 (46.753) Prec@5 71.875 (77.215) Epoch: [33][940/11272] Time 0.836 (0.798) Data 0.002 (0.004) Loss 2.1246 (2.0850) Prec@1 44.375 (46.749) Prec@5 77.500 (77.221) Epoch: [33][950/11272] Time 0.820 (0.798) Data 0.001 (0.004) Loss 2.2028 (2.0856) Prec@1 43.125 (46.743) Prec@5 72.500 (77.204) Epoch: [33][960/11272] Time 0.732 (0.798) Data 0.002 (0.004) Loss 2.3999 (2.0865) Prec@1 41.875 (46.712) Prec@5 69.375 (77.179) Epoch: [33][970/11272] Time 0.900 (0.798) Data 0.002 (0.004) Loss 2.0453 (2.0856) Prec@1 48.125 (46.725) Prec@5 77.500 (77.208) Epoch: [33][980/11272] Time 0.844 (0.798) Data 0.002 (0.004) Loss 2.2441 (2.0850) Prec@1 41.250 (46.730) Prec@5 75.000 (77.223) Epoch: [33][990/11272] Time 0.740 (0.799) Data 0.001 (0.004) Loss 1.9869 (2.0857) Prec@1 50.000 (46.715) Prec@5 80.625 (77.208) Epoch: [33][1000/11272] Time 0.727 (0.799) Data 0.002 (0.004) Loss 2.1740 (2.0856) Prec@1 47.500 (46.720) Prec@5 75.625 (77.210) Epoch: [33][1010/11272] Time 0.846 (0.799) Data 0.002 (0.004) Loss 2.0459 (2.0858) Prec@1 45.000 (46.722) Prec@5 78.125 (77.205) Epoch: [33][1020/11272] Time 0.856 (0.799) Data 0.002 (0.004) Loss 2.0621 (2.0856) Prec@1 46.250 (46.722) Prec@5 80.625 (77.202) Epoch: [33][1030/11272] Time 0.731 (0.798) Data 0.002 (0.004) Loss 2.2003 (2.0856) Prec@1 41.250 (46.713) Prec@5 75.625 (77.204) Epoch: [33][1040/11272] Time 0.754 (0.798) Data 0.001 (0.004) Loss 2.1784 (2.0856) Prec@1 43.750 (46.721) Prec@5 77.500 (77.208) Epoch: [33][1050/11272] Time 0.847 (0.799) Data 0.002 (0.004) Loss 2.1765 (2.0865) Prec@1 49.375 (46.708) Prec@5 74.375 (77.196) Epoch: [33][1060/11272] Time 0.902 (0.799) Data 0.002 (0.004) Loss 2.0607 (2.0862) Prec@1 44.375 (46.699) Prec@5 77.500 (77.205) Epoch: [33][1070/11272] Time 0.761 (0.799) Data 0.002 (0.004) Loss 2.0850 (2.0862) Prec@1 46.250 (46.697) Prec@5 80.625 (77.213) Epoch: [33][1080/11272] Time 0.723 (0.799) Data 0.002 (0.004) Loss 2.0810 (2.0862) Prec@1 43.750 (46.690) Prec@5 79.375 (77.216) Epoch: [33][1090/11272] Time 0.838 (0.799) Data 0.002 (0.004) Loss 1.9395 (2.0861) Prec@1 48.750 (46.680) Prec@5 81.250 (77.222) Epoch: [33][1100/11272] Time 0.785 (0.799) Data 0.004 (0.004) Loss 2.3093 (2.0856) Prec@1 42.500 (46.696) Prec@5 78.125 (77.242) Epoch: [33][1110/11272] Time 0.735 (0.799) Data 0.002 (0.004) Loss 1.9904 (2.0860) Prec@1 45.000 (46.694) Prec@5 77.500 (77.240) Epoch: [33][1120/11272] Time 0.852 (0.798) Data 0.002 (0.003) Loss 1.7748 (2.0850) Prec@1 51.250 (46.718) Prec@5 84.375 (77.258) Epoch: [33][1130/11272] Time 0.845 (0.798) Data 0.002 (0.003) Loss 2.1147 (2.0851) Prec@1 41.875 (46.709) Prec@5 80.000 (77.262) Epoch: [33][1140/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 1.9707 (2.0851) Prec@1 50.000 (46.705) Prec@5 79.375 (77.260) Epoch: [33][1150/11272] Time 0.731 (0.798) Data 0.002 (0.003) Loss 1.9542 (2.0857) Prec@1 48.125 (46.703) Prec@5 81.250 (77.250) Epoch: [33][1160/11272] Time 0.846 (0.798) Data 0.002 (0.003) Loss 2.0913 (2.0852) Prec@1 41.250 (46.700) Prec@5 76.875 (77.251) Epoch: [33][1170/11272] Time 0.855 (0.798) Data 0.002 (0.003) Loss 2.2423 (2.0851) Prec@1 39.375 (46.688) Prec@5 75.000 (77.259) Epoch: [33][1180/11272] Time 0.764 (0.798) Data 0.001 (0.003) Loss 2.4626 (2.0852) Prec@1 36.875 (46.670) Prec@5 68.750 (77.259) Epoch: [33][1190/11272] Time 0.774 (0.798) Data 0.002 (0.003) Loss 2.2004 (2.0851) Prec@1 41.250 (46.682) Prec@5 73.125 (77.261) Epoch: [33][1200/11272] Time 0.872 (0.798) Data 0.001 (0.003) Loss 2.2139 (2.0851) Prec@1 46.250 (46.686) Prec@5 77.500 (77.256) Epoch: [33][1210/11272] Time 0.825 (0.798) Data 0.001 (0.003) Loss 2.0860 (2.0853) Prec@1 48.750 (46.681) Prec@5 75.625 (77.251) Epoch: [33][1220/11272] Time 0.723 (0.798) Data 0.002 (0.003) Loss 2.1130 (2.0850) Prec@1 47.500 (46.675) Prec@5 76.250 (77.249) Epoch: [33][1230/11272] Time 0.835 (0.798) Data 0.001 (0.003) Loss 2.2025 (2.0851) Prec@1 46.875 (46.680) Prec@5 81.875 (77.250) Epoch: [33][1240/11272] Time 0.861 (0.798) Data 0.002 (0.003) Loss 2.0155 (2.0855) Prec@1 51.875 (46.676) Prec@5 78.125 (77.242) Epoch: [33][1250/11272] Time 0.778 (0.798) Data 0.002 (0.003) Loss 2.0735 (2.0854) Prec@1 48.750 (46.679) Prec@5 76.875 (77.244) Epoch: [33][1260/11272] Time 0.743 (0.798) Data 0.002 (0.003) Loss 1.8619 (2.0853) Prec@1 52.500 (46.682) Prec@5 82.500 (77.251) Epoch: [33][1270/11272] Time 0.832 (0.798) Data 0.001 (0.003) Loss 2.1040 (2.0852) Prec@1 51.875 (46.684) Prec@5 75.000 (77.248) Epoch: [33][1280/11272] Time 0.878 (0.798) Data 0.001 (0.003) Loss 2.0448 (2.0855) Prec@1 48.125 (46.671) Prec@5 76.875 (77.240) Epoch: [33][1290/11272] Time 0.721 (0.798) Data 0.002 (0.003) Loss 2.2630 (2.0858) Prec@1 41.875 (46.656) Prec@5 72.500 (77.240) Epoch: [33][1300/11272] Time 0.733 (0.798) Data 0.002 (0.003) Loss 2.1416 (2.0855) Prec@1 46.875 (46.661) Prec@5 79.375 (77.244) Epoch: [33][1310/11272] Time 0.855 (0.798) Data 0.002 (0.003) Loss 2.2161 (2.0855) Prec@1 43.750 (46.668) Prec@5 73.125 (77.249) Epoch: [33][1320/11272] Time 0.857 (0.798) Data 0.002 (0.003) Loss 2.2849 (2.0861) Prec@1 43.125 (46.658) Prec@5 69.375 (77.222) Epoch: [33][1330/11272] Time 0.726 (0.798) Data 0.002 (0.003) Loss 2.1068 (2.0856) Prec@1 45.000 (46.665) Prec@5 76.250 (77.229) Epoch: [33][1340/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 2.0425 (2.0858) Prec@1 46.250 (46.667) Prec@5 78.750 (77.232) Epoch: [33][1350/11272] Time 0.833 (0.798) Data 0.002 (0.003) Loss 1.9486 (2.0856) Prec@1 47.500 (46.663) Prec@5 78.750 (77.236) Epoch: [33][1360/11272] Time 0.827 (0.798) Data 0.002 (0.003) Loss 2.0490 (2.0850) Prec@1 45.000 (46.676) Prec@5 78.125 (77.241) Epoch: [33][1370/11272] Time 0.744 (0.798) Data 0.002 (0.003) Loss 2.0862 (2.0849) Prec@1 42.500 (46.670) Prec@5 78.750 (77.243) Epoch: [33][1380/11272] Time 0.835 (0.798) Data 0.002 (0.003) Loss 2.2242 (2.0852) Prec@1 48.125 (46.663) Prec@5 75.000 (77.228) Epoch: [33][1390/11272] Time 0.834 (0.798) Data 0.001 (0.003) Loss 2.0642 (2.0854) Prec@1 46.875 (46.666) Prec@5 74.375 (77.220) Epoch: [33][1400/11272] Time 0.731 (0.798) Data 0.002 (0.003) Loss 2.1047 (2.0854) Prec@1 45.625 (46.663) Prec@5 74.375 (77.214) Epoch: [33][1410/11272] Time 0.729 (0.798) Data 0.002 (0.003) Loss 2.2616 (2.0857) Prec@1 38.750 (46.653) Prec@5 78.125 (77.224) Epoch: [33][1420/11272] Time 0.900 (0.798) Data 0.002 (0.003) Loss 2.2850 (2.0853) Prec@1 43.750 (46.665) Prec@5 74.375 (77.230) Epoch: [33][1430/11272] Time 0.818 (0.798) Data 0.001 (0.003) Loss 2.0031 (2.0853) Prec@1 53.125 (46.672) Prec@5 76.250 (77.227) Epoch: [33][1440/11272] Time 0.725 (0.798) Data 0.002 (0.003) Loss 2.2175 (2.0850) Prec@1 45.625 (46.682) Prec@5 73.125 (77.234) Epoch: [33][1450/11272] Time 0.734 (0.798) Data 0.001 (0.003) Loss 1.7254 (2.0854) Prec@1 52.500 (46.673) Prec@5 85.625 (77.232) Epoch: [33][1460/11272] Time 0.861 (0.798) Data 0.002 (0.003) Loss 2.1351 (2.0856) Prec@1 47.500 (46.672) Prec@5 77.500 (77.227) Epoch: [33][1470/11272] Time 0.828 (0.798) Data 0.001 (0.003) Loss 1.9739 (2.0859) Prec@1 50.000 (46.671) Prec@5 77.500 (77.218) Epoch: [33][1480/11272] Time 0.762 (0.798) Data 0.002 (0.003) Loss 2.0431 (2.0856) Prec@1 46.250 (46.678) Prec@5 80.625 (77.221) Epoch: [33][1490/11272] Time 0.726 (0.798) Data 0.002 (0.003) Loss 1.9276 (2.0855) Prec@1 55.625 (46.675) Prec@5 78.125 (77.223) Epoch: [33][1500/11272] Time 0.857 (0.798) Data 0.001 (0.003) Loss 2.5954 (2.0861) Prec@1 36.875 (46.657) Prec@5 63.750 (77.203) Epoch: [33][1510/11272] Time 0.776 (0.798) Data 0.001 (0.003) Loss 2.0393 (2.0862) Prec@1 42.500 (46.638) Prec@5 76.250 (77.204) Epoch: [33][1520/11272] Time 0.790 (0.798) Data 0.002 (0.003) Loss 2.0282 (2.0867) Prec@1 51.250 (46.622) Prec@5 77.500 (77.199) Epoch: [33][1530/11272] Time 0.847 (0.798) Data 0.002 (0.003) Loss 2.2632 (2.0869) Prec@1 43.125 (46.617) Prec@5 71.875 (77.193) Epoch: [33][1540/11272] Time 0.787 (0.798) Data 0.001 (0.003) Loss 1.9047 (2.0870) Prec@1 50.000 (46.611) Prec@5 79.375 (77.185) Epoch: [33][1550/11272] Time 0.740 (0.798) Data 0.001 (0.003) Loss 1.8843 (2.0870) Prec@1 52.500 (46.609) Prec@5 82.500 (77.183) Epoch: [33][1560/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 1.9671 (2.0866) Prec@1 50.625 (46.623) Prec@5 78.750 (77.191) Epoch: [33][1570/11272] Time 0.842 (0.798) Data 0.002 (0.003) Loss 2.0019 (2.0864) Prec@1 48.125 (46.626) Prec@5 77.500 (77.198) Epoch: [33][1580/11272] Time 0.843 (0.798) Data 0.002 (0.003) Loss 2.0311 (2.0864) Prec@1 45.000 (46.630) Prec@5 79.375 (77.199) Epoch: [33][1590/11272] Time 0.735 (0.798) Data 0.001 (0.003) Loss 1.9514 (2.0865) Prec@1 45.000 (46.628) Prec@5 82.500 (77.203) Epoch: [33][1600/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 1.7610 (2.0867) Prec@1 53.750 (46.625) Prec@5 83.125 (77.204) Epoch: [33][1610/11272] Time 0.833 (0.798) Data 0.002 (0.003) Loss 1.8255 (2.0865) Prec@1 51.875 (46.626) Prec@5 82.500 (77.209) Epoch: [33][1620/11272] Time 0.828 (0.798) Data 0.001 (0.003) Loss 2.0402 (2.0863) Prec@1 48.125 (46.632) Prec@5 78.750 (77.214) Epoch: [33][1630/11272] Time 0.734 (0.798) Data 0.001 (0.003) Loss 2.3226 (2.0866) Prec@1 40.000 (46.625) Prec@5 68.750 (77.204) Epoch: [33][1640/11272] Time 0.902 (0.798) Data 0.002 (0.003) Loss 2.4570 (2.0873) Prec@1 41.250 (46.614) Prec@5 75.625 (77.204) Epoch: [33][1650/11272] Time 0.851 (0.798) Data 0.002 (0.003) Loss 2.0095 (2.0872) Prec@1 47.500 (46.620) Prec@5 80.000 (77.199) Epoch: [33][1660/11272] Time 0.772 (0.798) Data 0.002 (0.003) Loss 2.1073 (2.0871) Prec@1 45.000 (46.621) Prec@5 75.625 (77.203) Epoch: [33][1670/11272] Time 0.731 (0.798) Data 0.002 (0.003) Loss 2.2404 (2.0870) Prec@1 45.625 (46.627) Prec@5 73.750 (77.208) Epoch: [33][1680/11272] Time 0.876 (0.798) Data 0.002 (0.003) Loss 2.2394 (2.0871) Prec@1 42.500 (46.633) Prec@5 72.500 (77.203) Epoch: [33][1690/11272] Time 0.837 (0.798) Data 0.001 (0.003) Loss 2.0764 (2.0867) Prec@1 45.625 (46.644) Prec@5 75.625 (77.203) Epoch: [33][1700/11272] Time 0.728 (0.798) Data 0.002 (0.003) Loss 2.3673 (2.0870) Prec@1 41.875 (46.644) Prec@5 67.500 (77.195) Epoch: [33][1710/11272] Time 0.772 (0.798) Data 0.002 (0.003) Loss 1.8154 (2.0867) Prec@1 49.375 (46.651) Prec@5 83.125 (77.200) Epoch: [33][1720/11272] Time 0.887 (0.798) Data 0.002 (0.003) Loss 2.0232 (2.0863) Prec@1 50.000 (46.665) Prec@5 75.000 (77.206) Epoch: [33][1730/11272] Time 0.897 (0.798) Data 0.002 (0.003) Loss 2.2301 (2.0864) Prec@1 43.125 (46.664) Prec@5 75.625 (77.202) Epoch: [33][1740/11272] Time 0.742 (0.798) Data 0.002 (0.003) Loss 1.7216 (2.0862) Prec@1 53.750 (46.667) Prec@5 83.125 (77.203) Epoch: [33][1750/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 2.0872 (2.0863) Prec@1 46.250 (46.666) Prec@5 78.750 (77.206) Epoch: [33][1760/11272] Time 0.855 (0.798) Data 0.002 (0.003) Loss 2.2066 (2.0863) Prec@1 45.625 (46.673) Prec@5 71.875 (77.203) Epoch: [33][1770/11272] Time 0.734 (0.798) Data 0.003 (0.003) Loss 2.1182 (2.0866) Prec@1 46.875 (46.671) Prec@5 78.125 (77.188) Epoch: [33][1780/11272] Time 0.734 (0.798) Data 0.002 (0.003) Loss 2.1103 (2.0872) Prec@1 42.500 (46.662) Prec@5 82.500 (77.176) Epoch: [33][1790/11272] Time 0.876 (0.798) Data 0.001 (0.003) Loss 1.7198 (2.0871) Prec@1 52.500 (46.661) Prec@5 83.750 (77.177) Epoch: [33][1800/11272] Time 0.890 (0.798) Data 0.002 (0.003) Loss 2.0165 (2.0871) Prec@1 46.875 (46.662) Prec@5 80.625 (77.176) Epoch: [33][1810/11272] Time 0.748 (0.798) Data 0.001 (0.003) Loss 2.1445 (2.0869) Prec@1 45.000 (46.669) Prec@5 75.000 (77.182) Epoch: [33][1820/11272] Time 0.759 (0.798) Data 0.001 (0.003) Loss 1.9151 (2.0872) Prec@1 47.500 (46.653) Prec@5 78.125 (77.174) Epoch: [33][1830/11272] Time 0.847 (0.798) Data 0.002 (0.003) Loss 1.9552 (2.0873) Prec@1 50.625 (46.651) Prec@5 79.375 (77.172) Epoch: [33][1840/11272] Time 0.854 (0.798) Data 0.002 (0.003) Loss 2.1957 (2.0876) Prec@1 46.875 (46.651) Prec@5 76.250 (77.165) Epoch: [33][1850/11272] Time 0.745 (0.798) Data 0.002 (0.003) Loss 2.0544 (2.0882) Prec@1 45.000 (46.641) Prec@5 77.500 (77.155) Epoch: [33][1860/11272] Time 0.732 (0.798) Data 0.002 (0.003) Loss 1.7828 (2.0884) Prec@1 56.875 (46.631) Prec@5 82.500 (77.148) Epoch: [33][1870/11272] Time 0.928 (0.798) Data 0.002 (0.003) Loss 2.2812 (2.0886) Prec@1 43.750 (46.628) Prec@5 74.375 (77.142) Epoch: [33][1880/11272] Time 0.862 (0.798) Data 0.001 (0.003) Loss 2.1963 (2.0885) Prec@1 40.000 (46.623) Prec@5 75.000 (77.147) Epoch: [33][1890/11272] Time 0.743 (0.798) Data 0.002 (0.003) Loss 1.8106 (2.0883) Prec@1 54.375 (46.623) Prec@5 81.875 (77.154) Epoch: [33][1900/11272] Time 0.872 (0.798) Data 0.002 (0.003) Loss 2.1726 (2.0890) Prec@1 40.625 (46.607) Prec@5 71.250 (77.143) Epoch: [33][1910/11272] Time 0.892 (0.798) Data 0.002 (0.003) Loss 2.3320 (2.0889) Prec@1 40.625 (46.604) Prec@5 71.875 (77.146) Epoch: [33][1920/11272] Time 0.727 (0.798) Data 0.001 (0.003) Loss 2.1570 (2.0890) Prec@1 41.250 (46.602) Prec@5 78.125 (77.142) Epoch: [33][1930/11272] Time 0.737 (0.798) Data 0.002 (0.003) Loss 2.0451 (2.0888) Prec@1 48.750 (46.609) Prec@5 78.125 (77.148) Epoch: [33][1940/11272] Time 0.852 (0.798) Data 0.001 (0.003) Loss 2.0301 (2.0888) Prec@1 46.250 (46.614) Prec@5 78.750 (77.147) Epoch: [33][1950/11272] Time 0.803 (0.798) Data 0.001 (0.003) Loss 2.1614 (2.0889) Prec@1 46.250 (46.611) Prec@5 79.375 (77.150) Epoch: [33][1960/11272] Time 0.744 (0.798) Data 0.001 (0.003) Loss 1.9053 (2.0884) Prec@1 51.250 (46.630) Prec@5 81.875 (77.157) Epoch: [33][1970/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 2.0726 (2.0883) Prec@1 43.750 (46.625) Prec@5 78.125 (77.166) Epoch: [33][1980/11272] Time 0.833 (0.798) Data 0.001 (0.003) Loss 1.8722 (2.0881) Prec@1 53.750 (46.636) Prec@5 75.625 (77.164) Epoch: [33][1990/11272] Time 0.833 (0.798) Data 0.002 (0.003) Loss 1.8969 (2.0881) Prec@1 52.500 (46.637) Prec@5 81.250 (77.164) Epoch: [33][2000/11272] Time 0.750 (0.798) Data 0.002 (0.003) Loss 2.0335 (2.0884) Prec@1 46.250 (46.631) Prec@5 78.750 (77.156) Epoch: [33][2010/11272] Time 0.728 (0.798) Data 0.002 (0.003) Loss 2.0550 (2.0884) Prec@1 49.375 (46.638) Prec@5 76.250 (77.159) Epoch: [33][2020/11272] Time 0.871 (0.798) Data 0.001 (0.003) Loss 1.9864 (2.0883) Prec@1 50.000 (46.637) Prec@5 81.250 (77.162) Epoch: [33][2030/11272] Time 0.750 (0.798) Data 0.003 (0.003) Loss 2.1574 (2.0885) Prec@1 45.000 (46.636) Prec@5 75.625 (77.157) Epoch: [33][2040/11272] Time 0.727 (0.798) Data 0.002 (0.003) Loss 2.0513 (2.0885) Prec@1 45.000 (46.634) Prec@5 78.750 (77.157) Epoch: [33][2050/11272] Time 0.839 (0.798) Data 0.002 (0.003) Loss 1.7722 (2.0882) Prec@1 51.875 (46.635) Prec@5 81.875 (77.164) Epoch: [33][2060/11272] Time 0.854 (0.798) Data 0.002 (0.003) Loss 2.0336 (2.0880) Prec@1 48.125 (46.637) Prec@5 80.000 (77.168) Epoch: [33][2070/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 2.0060 (2.0880) Prec@1 48.125 (46.637) Prec@5 78.750 (77.170) Epoch: [33][2080/11272] Time 0.742 (0.798) Data 0.002 (0.003) Loss 1.9901 (2.0877) Prec@1 48.750 (46.649) Prec@5 78.750 (77.172) Epoch: [33][2090/11272] Time 0.849 (0.798) Data 0.002 (0.003) Loss 2.0815 (2.0878) Prec@1 46.875 (46.651) Prec@5 81.875 (77.171) Epoch: [33][2100/11272] Time 0.868 (0.798) Data 0.002 (0.003) Loss 2.1315 (2.0880) Prec@1 39.375 (46.645) Prec@5 78.125 (77.168) Epoch: [33][2110/11272] Time 0.765 (0.798) Data 0.001 (0.003) Loss 2.2973 (2.0878) Prec@1 41.875 (46.647) Prec@5 73.125 (77.170) Epoch: [33][2120/11272] Time 0.756 (0.798) Data 0.001 (0.003) Loss 2.0249 (2.0878) Prec@1 48.750 (46.644) Prec@5 76.875 (77.168) Epoch: [33][2130/11272] Time 0.811 (0.798) Data 0.001 (0.003) Loss 1.9203 (2.0877) Prec@1 51.250 (46.644) Prec@5 77.500 (77.167) Epoch: [33][2140/11272] Time 0.818 (0.798) Data 0.001 (0.003) Loss 1.9187 (2.0877) Prec@1 55.625 (46.644) Prec@5 78.750 (77.168) Epoch: [33][2150/11272] Time 0.743 (0.798) Data 0.001 (0.003) Loss 2.0626 (2.0876) Prec@1 47.500 (46.645) Prec@5 80.000 (77.170) Epoch: [33][2160/11272] Time 0.831 (0.798) Data 0.004 (0.003) Loss 2.1104 (2.0875) Prec@1 44.375 (46.649) Prec@5 76.875 (77.168) Epoch: [33][2170/11272] Time 0.836 (0.798) Data 0.002 (0.003) Loss 1.8914 (2.0874) Prec@1 51.875 (46.651) Prec@5 78.125 (77.167) Epoch: [33][2180/11272] Time 0.733 (0.798) Data 0.002 (0.003) Loss 2.1816 (2.0872) Prec@1 40.000 (46.650) Prec@5 76.250 (77.165) Epoch: [33][2190/11272] Time 0.731 (0.798) Data 0.001 (0.003) Loss 2.0956 (2.0870) Prec@1 50.625 (46.662) Prec@5 75.000 (77.163) Epoch: [33][2200/11272] Time 0.870 (0.798) Data 0.002 (0.003) Loss 2.0057 (2.0871) Prec@1 45.625 (46.657) Prec@5 80.625 (77.167) Epoch: [33][2210/11272] Time 0.861 (0.798) Data 0.002 (0.003) Loss 2.0901 (2.0866) Prec@1 39.375 (46.665) Prec@5 78.125 (77.176) Epoch: [33][2220/11272] Time 0.730 (0.798) Data 0.002 (0.003) Loss 2.0763 (2.0865) Prec@1 43.750 (46.668) Prec@5 80.625 (77.179) Epoch: [33][2230/11272] Time 0.734 (0.798) Data 0.002 (0.003) Loss 2.1922 (2.0864) Prec@1 50.000 (46.666) Prec@5 78.125 (77.181) Epoch: [33][2240/11272] Time 0.905 (0.798) Data 0.002 (0.003) Loss 2.1917 (2.0866) Prec@1 48.125 (46.667) Prec@5 75.000 (77.175) Epoch: [33][2250/11272] Time 0.818 (0.798) Data 0.002 (0.003) Loss 2.0395 (2.0868) Prec@1 50.625 (46.665) Prec@5 77.500 (77.172) Epoch: [33][2260/11272] Time 0.747 (0.798) Data 0.002 (0.003) Loss 2.2043 (2.0871) Prec@1 45.625 (46.660) Prec@5 75.625 (77.163) Epoch: [33][2270/11272] Time 0.741 (0.798) Data 0.001 (0.003) Loss 2.0331 (2.0870) Prec@1 44.375 (46.664) Prec@5 79.375 (77.163) Epoch: [33][2280/11272] Time 0.886 (0.798) Data 0.002 (0.003) Loss 2.1621 (2.0869) Prec@1 42.500 (46.666) Prec@5 74.375 (77.167) Epoch: [33][2290/11272] Time 0.895 (0.798) Data 0.002 (0.003) Loss 2.3530 (2.0870) Prec@1 41.250 (46.662) Prec@5 73.750 (77.166) Epoch: [33][2300/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 1.8960 (2.0868) Prec@1 50.000 (46.661) Prec@5 77.500 (77.169) Epoch: [33][2310/11272] Time 0.926 (0.798) Data 0.002 (0.003) Loss 2.2554 (2.0868) Prec@1 41.250 (46.663) Prec@5 75.625 (77.166) Epoch: [33][2320/11272] Time 0.851 (0.798) Data 0.001 (0.003) Loss 2.4278 (2.0870) Prec@1 36.875 (46.657) Prec@5 68.125 (77.163) Epoch: [33][2330/11272] Time 0.732 (0.798) Data 0.002 (0.003) Loss 2.0928 (2.0869) Prec@1 45.625 (46.664) Prec@5 77.500 (77.160) Epoch: [33][2340/11272] Time 0.743 (0.798) Data 0.002 (0.003) Loss 2.1328 (2.0872) Prec@1 43.750 (46.655) Prec@5 78.750 (77.155) Epoch: [33][2350/11272] Time 0.863 (0.798) Data 0.001 (0.003) Loss 1.8638 (2.0873) Prec@1 48.125 (46.656) Prec@5 82.500 (77.155) Epoch: [33][2360/11272] Time 0.833 (0.798) Data 0.001 (0.003) Loss 2.3805 (2.0877) Prec@1 40.000 (46.645) Prec@5 69.375 (77.146) Epoch: [33][2370/11272] Time 0.762 (0.798) Data 0.002 (0.003) Loss 1.9308 (2.0878) Prec@1 52.500 (46.650) Prec@5 78.750 (77.141) Epoch: [33][2380/11272] Time 0.727 (0.798) Data 0.002 (0.003) Loss 2.0478 (2.0874) Prec@1 45.625 (46.651) Prec@5 76.875 (77.148) Epoch: [33][2390/11272] Time 0.848 (0.798) Data 0.001 (0.003) Loss 2.0974 (2.0873) Prec@1 44.375 (46.656) Prec@5 78.750 (77.150) Epoch: [33][2400/11272] Time 0.837 (0.798) Data 0.001 (0.003) Loss 2.2068 (2.0875) Prec@1 43.125 (46.653) Prec@5 75.000 (77.146) Epoch: [33][2410/11272] Time 0.709 (0.798) Data 0.001 (0.002) Loss 2.2811 (2.0876) Prec@1 43.125 (46.659) Prec@5 75.000 (77.143) Epoch: [33][2420/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.2354 (2.0877) Prec@1 48.125 (46.655) Prec@5 72.500 (77.137) Epoch: [33][2430/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 2.1851 (2.0882) Prec@1 43.125 (46.642) Prec@5 76.250 (77.126) Epoch: [33][2440/11272] Time 0.765 (0.798) Data 0.001 (0.002) Loss 2.0591 (2.0882) Prec@1 50.000 (46.643) Prec@5 78.750 (77.126) Epoch: [33][2450/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.0572 (2.0884) Prec@1 49.375 (46.639) Prec@5 78.750 (77.126) Epoch: [33][2460/11272] Time 0.851 (0.798) Data 0.001 (0.002) Loss 2.0428 (2.0883) Prec@1 49.375 (46.641) Prec@5 76.875 (77.130) Epoch: [33][2470/11272] Time 0.886 (0.798) Data 0.002 (0.002) Loss 2.1674 (2.0882) Prec@1 48.125 (46.646) Prec@5 73.750 (77.127) Epoch: [33][2480/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.0903 (2.0881) Prec@1 48.750 (46.647) Prec@5 76.875 (77.132) Epoch: [33][2490/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 2.3020 (2.0883) Prec@1 44.375 (46.637) Prec@5 71.875 (77.125) Epoch: [33][2500/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 1.9940 (2.0882) Prec@1 51.875 (46.644) Prec@5 77.500 (77.128) Epoch: [33][2510/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.1317 (2.0884) Prec@1 43.125 (46.635) Prec@5 75.625 (77.127) Epoch: [33][2520/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.0669 (2.0883) Prec@1 51.875 (46.640) Prec@5 74.375 (77.127) Epoch: [33][2530/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.0146 (2.0883) Prec@1 51.875 (46.650) Prec@5 73.125 (77.122) Epoch: [33][2540/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 1.9333 (2.0880) Prec@1 48.750 (46.652) Prec@5 80.625 (77.127) Epoch: [33][2550/11272] Time 0.831 (0.798) Data 0.002 (0.002) Loss 2.2823 (2.0881) Prec@1 40.625 (46.650) Prec@5 73.750 (77.126) Epoch: [33][2560/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 2.2305 (2.0879) Prec@1 39.375 (46.651) Prec@5 76.250 (77.126) Epoch: [33][2570/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.9704 (2.0879) Prec@1 46.250 (46.653) Prec@5 78.750 (77.122) Epoch: [33][2580/11272] Time 0.889 (0.798) Data 0.002 (0.002) Loss 2.0107 (2.0879) Prec@1 48.125 (46.655) Prec@5 76.875 (77.120) Epoch: [33][2590/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 2.3457 (2.0879) Prec@1 43.125 (46.654) Prec@5 70.625 (77.114) Epoch: [33][2600/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.0514 (2.0880) Prec@1 51.250 (46.655) Prec@5 79.375 (77.113) Epoch: [33][2610/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.8532 (2.0876) Prec@1 54.375 (46.672) Prec@5 78.750 (77.117) Epoch: [33][2620/11272] Time 0.911 (0.798) Data 0.002 (0.002) Loss 2.1981 (2.0877) Prec@1 45.000 (46.668) Prec@5 74.375 (77.113) Epoch: [33][2630/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.1845 (2.0878) Prec@1 45.000 (46.664) Prec@5 74.375 (77.110) Epoch: [33][2640/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 1.9176 (2.0878) Prec@1 51.250 (46.666) Prec@5 79.375 (77.108) Epoch: [33][2650/11272] Time 0.847 (0.798) Data 0.001 (0.002) Loss 1.9298 (2.0878) Prec@1 47.500 (46.668) Prec@5 80.000 (77.111) Epoch: [33][2660/11272] Time 0.822 (0.798) Data 0.002 (0.002) Loss 2.2372 (2.0880) Prec@1 42.500 (46.669) Prec@5 71.875 (77.109) Epoch: [33][2670/11272] Time 0.741 (0.798) Data 0.001 (0.002) Loss 2.0109 (2.0880) Prec@1 45.000 (46.663) Prec@5 76.875 (77.112) Epoch: [33][2680/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 2.3343 (2.0881) Prec@1 46.875 (46.666) Prec@5 73.125 (77.109) Epoch: [33][2690/11272] Time 0.934 (0.798) Data 0.002 (0.002) Loss 2.1302 (2.0882) Prec@1 45.625 (46.662) Prec@5 71.875 (77.102) Epoch: [33][2700/11272] Time 0.727 (0.798) Data 0.003 (0.002) Loss 1.9155 (2.0882) Prec@1 45.625 (46.661) Prec@5 80.625 (77.105) Epoch: [33][2710/11272] Time 0.772 (0.798) Data 0.002 (0.002) Loss 2.0160 (2.0880) Prec@1 45.625 (46.659) Prec@5 75.000 (77.107) Epoch: [33][2720/11272] Time 0.813 (0.798) Data 0.001 (0.002) Loss 2.2176 (2.0881) Prec@1 39.375 (46.651) Prec@5 75.625 (77.105) Epoch: [33][2730/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.0244 (2.0882) Prec@1 50.000 (46.658) Prec@5 79.375 (77.102) Epoch: [33][2740/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.1076 (2.0884) Prec@1 50.625 (46.652) Prec@5 75.625 (77.096) Epoch: [33][2750/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.3094 (2.0884) Prec@1 43.750 (46.657) Prec@5 74.375 (77.094) Epoch: [33][2760/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 2.1980 (2.0886) Prec@1 43.125 (46.650) Prec@5 76.250 (77.093) Epoch: [33][2770/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 2.5971 (2.0891) Prec@1 38.125 (46.641) Prec@5 70.625 (77.083) Epoch: [33][2780/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.9537 (2.0888) Prec@1 54.375 (46.648) Prec@5 77.500 (77.090) Epoch: [33][2790/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 1.9252 (2.0885) Prec@1 54.375 (46.654) Prec@5 78.750 (77.094) Epoch: [33][2800/11272] Time 0.859 (0.798) Data 0.001 (0.002) Loss 2.3554 (2.0884) Prec@1 39.375 (46.654) Prec@5 70.625 (77.092) Epoch: [33][2810/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 2.1440 (2.0886) Prec@1 43.750 (46.654) Prec@5 77.500 (77.087) Epoch: [33][2820/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 1.8866 (2.0887) Prec@1 56.250 (46.647) Prec@5 80.000 (77.083) Epoch: [33][2830/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 2.2643 (2.0888) Prec@1 40.625 (46.647) Prec@5 75.000 (77.083) Epoch: [33][2840/11272] Time 0.829 (0.798) Data 0.002 (0.002) Loss 2.2911 (2.0892) Prec@1 42.500 (46.637) Prec@5 72.500 (77.077) Epoch: [33][2850/11272] Time 0.722 (0.798) Data 0.001 (0.002) Loss 2.2507 (2.0894) Prec@1 40.000 (46.627) Prec@5 76.250 (77.070) Epoch: [33][2860/11272] Time 0.758 (0.798) Data 0.002 (0.002) Loss 2.1894 (2.0892) Prec@1 43.750 (46.633) Prec@5 71.250 (77.074) Epoch: [33][2870/11272] Time 0.895 (0.798) Data 0.002 (0.002) Loss 1.9245 (2.0894) Prec@1 50.625 (46.627) Prec@5 82.500 (77.073) Epoch: [33][2880/11272] Time 0.797 (0.798) Data 0.001 (0.002) Loss 2.2493 (2.0893) Prec@1 38.750 (46.625) Prec@5 72.500 (77.075) Epoch: [33][2890/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.0480 (2.0896) Prec@1 48.125 (46.621) Prec@5 79.375 (77.072) Epoch: [33][2900/11272] Time 0.720 (0.798) Data 0.002 (0.002) Loss 1.9064 (2.0896) Prec@1 50.625 (46.621) Prec@5 80.000 (77.073) Epoch: [33][2910/11272] Time 0.872 (0.798) Data 0.001 (0.002) Loss 2.2188 (2.0897) Prec@1 46.875 (46.617) Prec@5 73.125 (77.071) Epoch: [33][2920/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.9582 (2.0897) Prec@1 48.125 (46.617) Prec@5 81.875 (77.072) Epoch: [33][2930/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 2.1729 (2.0895) Prec@1 47.500 (46.618) Prec@5 76.250 (77.078) Epoch: [33][2940/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.0790 (2.0897) Prec@1 48.750 (46.617) Prec@5 74.375 (77.072) Epoch: [33][2950/11272] Time 0.894 (0.798) Data 0.001 (0.002) Loss 2.1855 (2.0897) Prec@1 43.125 (46.619) Prec@5 74.375 (77.072) Epoch: [33][2960/11272] Time 0.741 (0.798) Data 0.003 (0.002) Loss 2.1482 (2.0898) Prec@1 41.875 (46.615) Prec@5 78.750 (77.069) Epoch: [33][2970/11272] Time 0.759 (0.798) Data 0.002 (0.002) Loss 2.0326 (2.0897) Prec@1 45.625 (46.618) Prec@5 79.375 (77.072) Epoch: [33][2980/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 2.0032 (2.0897) Prec@1 47.500 (46.616) Prec@5 76.875 (77.070) Epoch: [33][2990/11272] Time 0.877 (0.798) Data 0.002 (0.002) Loss 1.9741 (2.0895) Prec@1 43.125 (46.620) Prec@5 81.250 (77.071) Epoch: [33][3000/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.1158 (2.0897) Prec@1 44.375 (46.616) Prec@5 77.500 (77.068) Epoch: [33][3010/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 2.4020 (2.0899) Prec@1 37.500 (46.610) Prec@5 68.125 (77.062) Epoch: [33][3020/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 2.0298 (2.0901) Prec@1 50.625 (46.609) Prec@5 77.500 (77.058) Epoch: [33][3030/11272] Time 0.822 (0.798) Data 0.002 (0.002) Loss 2.1133 (2.0900) Prec@1 42.500 (46.603) Prec@5 77.500 (77.060) Epoch: [33][3040/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.6718 (2.0900) Prec@1 56.875 (46.610) Prec@5 80.000 (77.061) Epoch: [33][3050/11272] Time 0.768 (0.798) Data 0.001 (0.002) Loss 1.7720 (2.0898) Prec@1 54.375 (46.618) Prec@5 83.750 (77.064) Epoch: [33][3060/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 2.0930 (2.0902) Prec@1 49.375 (46.607) Prec@5 77.500 (77.056) Epoch: [33][3070/11272] Time 0.831 (0.798) Data 0.002 (0.002) Loss 1.9986 (2.0905) Prec@1 44.375 (46.604) Prec@5 78.750 (77.052) Epoch: [33][3080/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.8788 (2.0904) Prec@1 51.250 (46.606) Prec@5 80.625 (77.055) Epoch: [33][3090/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.0046 (2.0903) Prec@1 45.625 (46.607) Prec@5 80.000 (77.057) Epoch: [33][3100/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.2398 (2.0903) Prec@1 40.625 (46.603) Prec@5 73.125 (77.057) Epoch: [33][3110/11272] Time 0.760 (0.798) Data 0.001 (0.002) Loss 2.0935 (2.0904) Prec@1 50.000 (46.604) Prec@5 71.250 (77.058) Epoch: [33][3120/11272] Time 0.759 (0.798) Data 0.002 (0.002) Loss 2.0879 (2.0904) Prec@1 50.000 (46.601) Prec@5 73.750 (77.055) Epoch: [33][3130/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.8189 (2.0907) Prec@1 48.750 (46.595) Prec@5 81.250 (77.049) Epoch: [33][3140/11272] Time 0.829 (0.798) Data 0.002 (0.002) Loss 2.4514 (2.0909) Prec@1 41.875 (46.587) Prec@5 71.250 (77.046) Epoch: [33][3150/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 1.8959 (2.0909) Prec@1 44.375 (46.585) Prec@5 84.375 (77.047) Epoch: [33][3160/11272] Time 0.761 (0.798) Data 0.001 (0.002) Loss 2.0861 (2.0908) Prec@1 48.125 (46.590) Prec@5 76.250 (77.046) Epoch: [33][3170/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 2.2086 (2.0908) Prec@1 43.125 (46.593) Prec@5 76.875 (77.045) Epoch: [33][3180/11272] Time 0.830 (0.798) Data 0.001 (0.002) Loss 2.2065 (2.0907) Prec@1 44.375 (46.593) Prec@5 76.250 (77.048) Epoch: [33][3190/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 2.1674 (2.0905) Prec@1 42.500 (46.597) Prec@5 75.000 (77.050) Epoch: [33][3200/11272] Time 0.738 (0.798) Data 0.003 (0.002) Loss 2.0032 (2.0903) Prec@1 49.375 (46.601) Prec@5 76.875 (77.052) Epoch: [33][3210/11272] Time 0.871 (0.798) Data 0.002 (0.002) Loss 2.0571 (2.0903) Prec@1 47.500 (46.601) Prec@5 74.375 (77.053) Epoch: [33][3220/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 2.1387 (2.0905) Prec@1 47.500 (46.597) Prec@5 73.750 (77.049) Epoch: [33][3230/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 1.7649 (2.0904) Prec@1 53.125 (46.598) Prec@5 81.250 (77.047) Epoch: [33][3240/11272] Time 0.887 (0.798) Data 0.001 (0.002) Loss 1.8494 (2.0905) Prec@1 53.750 (46.600) Prec@5 81.250 (77.047) Epoch: [33][3250/11272] Time 0.869 (0.798) Data 0.002 (0.002) Loss 1.9954 (2.0903) Prec@1 46.875 (46.604) Prec@5 73.750 (77.047) Epoch: [33][3260/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.2010 (2.0906) Prec@1 37.500 (46.601) Prec@5 73.750 (77.042) Epoch: [33][3270/11272] Time 0.738 (0.798) Data 0.001 (0.002) Loss 2.1087 (2.0908) Prec@1 43.125 (46.602) Prec@5 76.875 (77.038) Epoch: [33][3280/11272] Time 0.834 (0.798) Data 0.002 (0.002) Loss 1.8640 (2.0905) Prec@1 52.500 (46.608) Prec@5 77.500 (77.043) Epoch: [33][3290/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 2.1053 (2.0908) Prec@1 50.625 (46.606) Prec@5 75.000 (77.038) Epoch: [33][3300/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.1099 (2.0908) Prec@1 46.250 (46.607) Prec@5 75.000 (77.037) Epoch: [33][3310/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9224 (2.0906) Prec@1 48.750 (46.606) Prec@5 82.500 (77.040) Epoch: [33][3320/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 2.0833 (2.0905) Prec@1 48.750 (46.611) Prec@5 80.000 (77.042) Epoch: [33][3330/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.0403 (2.0908) Prec@1 48.125 (46.603) Prec@5 80.625 (77.036) Epoch: [33][3340/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1297 (2.0909) Prec@1 41.875 (46.601) Prec@5 79.375 (77.031) Epoch: [33][3350/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 1.8675 (2.0911) Prec@1 50.000 (46.598) Prec@5 85.000 (77.029) Epoch: [33][3360/11272] Time 0.863 (0.797) Data 0.001 (0.002) Loss 2.0754 (2.0910) Prec@1 46.250 (46.597) Prec@5 79.375 (77.032) Epoch: [33][3370/11272] Time 0.759 (0.797) Data 0.001 (0.002) Loss 2.1508 (2.0910) Prec@1 46.250 (46.594) Prec@5 77.500 (77.033) Epoch: [33][3380/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0342 (2.0911) Prec@1 48.750 (46.592) Prec@5 77.500 (77.032) Epoch: [33][3390/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 1.9569 (2.0913) Prec@1 50.625 (46.588) Prec@5 82.500 (77.030) Epoch: [33][3400/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.1759 (2.0913) Prec@1 46.250 (46.589) Prec@5 76.875 (77.030) Epoch: [33][3410/11272] Time 0.775 (0.797) Data 0.002 (0.002) Loss 2.1404 (2.0912) Prec@1 48.125 (46.591) Prec@5 75.625 (77.029) Epoch: [33][3420/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.8958 (2.0910) Prec@1 53.125 (46.593) Prec@5 79.375 (77.030) Epoch: [33][3430/11272] Time 0.865 (0.798) Data 0.002 (0.002) Loss 2.1092 (2.0911) Prec@1 44.375 (46.589) Prec@5 75.625 (77.029) Epoch: [33][3440/11272] Time 0.798 (0.798) Data 0.001 (0.002) Loss 2.1206 (2.0911) Prec@1 46.250 (46.590) Prec@5 80.000 (77.033) Epoch: [33][3450/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2932 (2.0911) Prec@1 40.000 (46.591) Prec@5 76.250 (77.036) Epoch: [33][3460/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 2.1668 (2.0911) Prec@1 40.625 (46.589) Prec@5 71.875 (77.034) Epoch: [33][3470/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 2.1432 (2.0912) Prec@1 46.875 (46.590) Prec@5 78.125 (77.036) Epoch: [33][3480/11272] Time 0.821 (0.798) Data 0.001 (0.002) Loss 2.0283 (2.0912) Prec@1 45.000 (46.588) Prec@5 81.875 (77.043) Epoch: [33][3490/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.2205 (2.0913) Prec@1 41.875 (46.589) Prec@5 72.500 (77.040) Epoch: [33][3500/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.9545 (2.0911) Prec@1 49.375 (46.595) Prec@5 81.250 (77.040) Epoch: [33][3510/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.2578 (2.0910) Prec@1 46.250 (46.596) Prec@5 70.625 (77.040) Epoch: [33][3520/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 2.1031 (2.0909) Prec@1 46.250 (46.599) Prec@5 73.125 (77.043) Epoch: [33][3530/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.1283 (2.0911) Prec@1 46.250 (46.598) Prec@5 76.875 (77.040) Epoch: [33][3540/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.1602 (2.0911) Prec@1 46.875 (46.597) Prec@5 75.625 (77.041) Epoch: [33][3550/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 2.0314 (2.0913) Prec@1 51.250 (46.596) Prec@5 78.750 (77.038) Epoch: [33][3560/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1275 (2.0913) Prec@1 49.375 (46.595) Prec@5 75.625 (77.038) Epoch: [33][3570/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1678 (2.0914) Prec@1 49.375 (46.600) Prec@5 78.125 (77.036) Epoch: [33][3580/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.7724 (2.0911) Prec@1 55.000 (46.608) Prec@5 79.375 (77.039) Epoch: [33][3590/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.1589 (2.0913) Prec@1 41.875 (46.602) Prec@5 73.125 (77.034) Epoch: [33][3600/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.9145 (2.0914) Prec@1 50.000 (46.600) Prec@5 80.000 (77.032) Epoch: [33][3610/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.3617 (2.0917) Prec@1 41.875 (46.597) Prec@5 72.500 (77.026) Epoch: [33][3620/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.1859 (2.0918) Prec@1 45.625 (46.601) Prec@5 75.000 (77.026) Epoch: [33][3630/11272] Time 0.737 (0.797) Data 0.004 (0.002) Loss 2.1346 (2.0917) Prec@1 48.125 (46.604) Prec@5 76.250 (77.027) Epoch: [33][3640/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.1628 (2.0917) Prec@1 43.750 (46.603) Prec@5 76.875 (77.027) Epoch: [33][3650/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.2095 (2.0916) Prec@1 38.750 (46.605) Prec@5 75.625 (77.032) Epoch: [33][3660/11272] Time 0.890 (0.797) Data 0.002 (0.002) Loss 2.0645 (2.0917) Prec@1 45.625 (46.599) Prec@5 77.500 (77.031) Epoch: [33][3670/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.1645 (2.0917) Prec@1 49.375 (46.600) Prec@5 75.000 (77.029) Epoch: [33][3680/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.1031 (2.0918) Prec@1 45.000 (46.600) Prec@5 78.125 (77.028) Epoch: [33][3690/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.3013 (2.0919) Prec@1 40.625 (46.596) Prec@5 71.250 (77.025) Epoch: [33][3700/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 1.9678 (2.0919) Prec@1 45.625 (46.595) Prec@5 79.375 (77.026) Epoch: [33][3710/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.0297 (2.0919) Prec@1 46.875 (46.595) Prec@5 79.375 (77.023) Epoch: [33][3720/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.1926 (2.0920) Prec@1 44.375 (46.593) Prec@5 76.250 (77.022) Epoch: [33][3730/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.9267 (2.0921) Prec@1 52.500 (46.594) Prec@5 81.875 (77.019) Epoch: [33][3740/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 2.0929 (2.0920) Prec@1 45.625 (46.596) Prec@5 78.125 (77.021) Epoch: [33][3750/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.2000 (2.0922) Prec@1 44.375 (46.588) Prec@5 77.500 (77.018) Epoch: [33][3760/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0637 (2.0921) Prec@1 46.875 (46.589) Prec@5 78.750 (77.021) Epoch: [33][3770/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 2.0069 (2.0920) Prec@1 48.750 (46.591) Prec@5 78.125 (77.023) Epoch: [33][3780/11272] Time 0.722 (0.797) Data 0.001 (0.002) Loss 2.2313 (2.0921) Prec@1 47.500 (46.588) Prec@5 75.000 (77.021) Epoch: [33][3790/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2697 (2.0924) Prec@1 42.500 (46.582) Prec@5 75.625 (77.017) Epoch: [33][3800/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.9526 (2.0924) Prec@1 49.375 (46.582) Prec@5 80.000 (77.019) Epoch: [33][3810/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.2623 (2.0923) Prec@1 40.625 (46.581) Prec@5 74.375 (77.023) Epoch: [33][3820/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.8780 (2.0923) Prec@1 52.500 (46.583) Prec@5 83.750 (77.025) Epoch: [33][3830/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.0075 (2.0923) Prec@1 49.375 (46.585) Prec@5 75.000 (77.024) Epoch: [33][3840/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 1.7105 (2.0921) Prec@1 60.000 (46.593) Prec@5 86.875 (77.028) Epoch: [33][3850/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 1.9111 (2.0919) Prec@1 53.750 (46.600) Prec@5 83.125 (77.030) Epoch: [33][3860/11272] Time 0.774 (0.797) Data 0.001 (0.002) Loss 2.4091 (2.0919) Prec@1 42.500 (46.604) Prec@5 70.000 (77.032) Epoch: [33][3870/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.0451 (2.0920) Prec@1 43.125 (46.602) Prec@5 81.875 (77.032) Epoch: [33][3880/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.8695 (2.0921) Prec@1 56.250 (46.603) Prec@5 80.625 (77.031) Epoch: [33][3890/11272] Time 0.725 (0.797) Data 0.003 (0.002) Loss 2.3705 (2.0921) Prec@1 40.000 (46.604) Prec@5 69.375 (77.033) Epoch: [33][3900/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1681 (2.0920) Prec@1 46.875 (46.605) Prec@5 76.875 (77.032) Epoch: [33][3910/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.0445 (2.0921) Prec@1 48.125 (46.600) Prec@5 73.125 (77.034) Epoch: [33][3920/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.8953 (2.0919) Prec@1 48.125 (46.601) Prec@5 80.625 (77.037) Epoch: [33][3930/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.0445 (2.0919) Prec@1 50.000 (46.603) Prec@5 78.750 (77.039) Epoch: [33][3940/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.2933 (2.0919) Prec@1 43.125 (46.600) Prec@5 74.375 (77.039) Epoch: [33][3950/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1719 (2.0920) Prec@1 45.000 (46.596) Prec@5 76.875 (77.038) Epoch: [33][3960/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0951 (2.0920) Prec@1 48.750 (46.598) Prec@5 75.625 (77.037) Epoch: [33][3970/11272] Time 0.782 (0.797) Data 0.002 (0.002) Loss 2.0315 (2.0919) Prec@1 45.000 (46.597) Prec@5 83.125 (77.043) Epoch: [33][3980/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8910 (2.0917) Prec@1 46.875 (46.603) Prec@5 80.625 (77.044) Epoch: [33][3990/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.2097 (2.0918) Prec@1 41.875 (46.602) Prec@5 73.125 (77.041) Epoch: [33][4000/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.0512 (2.0917) Prec@1 45.000 (46.604) Prec@5 79.375 (77.043) Epoch: [33][4010/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.8794 (2.0916) Prec@1 46.250 (46.603) Prec@5 81.250 (77.046) Epoch: [33][4020/11272] Time 0.900 (0.797) Data 0.003 (0.002) Loss 2.2379 (2.0915) Prec@1 40.000 (46.605) Prec@5 73.125 (77.046) Epoch: [33][4030/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1201 (2.0914) Prec@1 42.500 (46.609) Prec@5 76.250 (77.048) Epoch: [33][4040/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.1856 (2.0913) Prec@1 41.875 (46.610) Prec@5 78.125 (77.052) Epoch: [33][4050/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 2.0424 (2.0912) Prec@1 47.500 (46.616) Prec@5 76.250 (77.055) Epoch: [33][4060/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.2597 (2.0913) Prec@1 43.750 (46.613) Prec@5 71.875 (77.050) Epoch: [33][4070/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 2.1600 (2.0912) Prec@1 44.375 (46.619) Prec@5 75.000 (77.048) Epoch: [33][4080/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0453 (2.0912) Prec@1 43.125 (46.619) Prec@5 81.875 (77.051) Epoch: [33][4090/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.9153 (2.0912) Prec@1 47.500 (46.620) Prec@5 78.750 (77.051) Epoch: [33][4100/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 2.0648 (2.0912) Prec@1 47.500 (46.617) Prec@5 74.375 (77.048) Epoch: [33][4110/11272] Time 0.898 (0.797) Data 0.002 (0.002) Loss 2.0148 (2.0915) Prec@1 42.500 (46.613) Prec@5 78.125 (77.044) Epoch: [33][4120/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9545 (2.0914) Prec@1 48.750 (46.612) Prec@5 77.500 (77.044) Epoch: [33][4130/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.3222 (2.0914) Prec@1 41.875 (46.612) Prec@5 71.875 (77.043) Epoch: [33][4140/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.8345 (2.0914) Prec@1 48.125 (46.612) Prec@5 81.250 (77.043) Epoch: [33][4150/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.0810 (2.0915) Prec@1 46.250 (46.610) Prec@5 75.625 (77.042) Epoch: [33][4160/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.9413 (2.0912) Prec@1 54.375 (46.619) Prec@5 80.000 (77.046) Epoch: [33][4170/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.1891 (2.0912) Prec@1 45.625 (46.623) Prec@5 77.500 (77.047) Epoch: [33][4180/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.1215 (2.0912) Prec@1 41.250 (46.622) Prec@5 75.625 (77.046) Epoch: [33][4190/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 2.0631 (2.0911) Prec@1 45.625 (46.624) Prec@5 78.750 (77.049) Epoch: [33][4200/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.1653 (2.0910) Prec@1 51.875 (46.627) Prec@5 76.250 (77.051) Epoch: [33][4210/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0780 (2.0910) Prec@1 45.000 (46.622) Prec@5 73.750 (77.048) Epoch: [33][4220/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.3022 (2.0911) Prec@1 40.625 (46.619) Prec@5 73.125 (77.046) Epoch: [33][4230/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.2699 (2.0912) Prec@1 35.625 (46.615) Prec@5 73.125 (77.045) Epoch: [33][4240/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 1.8671 (2.0911) Prec@1 53.750 (46.620) Prec@5 80.000 (77.046) Epoch: [33][4250/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.3130 (2.0911) Prec@1 38.750 (46.618) Prec@5 73.750 (77.046) Epoch: [33][4260/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 2.0278 (2.0909) Prec@1 50.000 (46.622) Prec@5 76.250 (77.049) Epoch: [33][4270/11272] Time 0.786 (0.797) Data 0.002 (0.002) Loss 2.2130 (2.0909) Prec@1 45.625 (46.623) Prec@5 70.625 (77.048) Epoch: [33][4280/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 1.8359 (2.0908) Prec@1 51.250 (46.627) Prec@5 83.125 (77.048) Epoch: [33][4290/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 1.6598 (2.0905) Prec@1 54.375 (46.630) Prec@5 88.125 (77.055) Epoch: [33][4300/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0921 (2.0904) Prec@1 48.125 (46.631) Prec@5 78.750 (77.058) Epoch: [33][4310/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0889 (2.0902) Prec@1 50.625 (46.636) Prec@5 75.000 (77.061) Epoch: [33][4320/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1948 (2.0901) Prec@1 44.375 (46.637) Prec@5 75.000 (77.062) Epoch: [33][4330/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 2.2182 (2.0901) Prec@1 38.125 (46.637) Prec@5 78.750 (77.064) Epoch: [33][4340/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.0127 (2.0899) Prec@1 46.875 (46.643) Prec@5 77.500 (77.068) Epoch: [33][4350/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.9647 (2.0899) Prec@1 46.875 (46.643) Prec@5 78.750 (77.067) Epoch: [33][4360/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0204 (2.0901) Prec@1 46.250 (46.639) Prec@5 82.500 (77.064) Epoch: [33][4370/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.1142 (2.0902) Prec@1 45.625 (46.636) Prec@5 76.250 (77.062) Epoch: [33][4380/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.2345 (2.0902) Prec@1 44.375 (46.632) Prec@5 71.875 (77.061) Epoch: [33][4390/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0076 (2.0903) Prec@1 48.750 (46.627) Prec@5 77.500 (77.061) Epoch: [33][4400/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.3389 (2.0905) Prec@1 50.000 (46.626) Prec@5 72.500 (77.058) Epoch: [33][4410/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2067 (2.0904) Prec@1 46.250 (46.628) Prec@5 72.500 (77.056) Epoch: [33][4420/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.1582 (2.0903) Prec@1 50.625 (46.633) Prec@5 78.125 (77.060) Epoch: [33][4430/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9451 (2.0903) Prec@1 50.625 (46.630) Prec@5 80.000 (77.056) Epoch: [33][4440/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.4963 (2.0904) Prec@1 41.250 (46.630) Prec@5 68.750 (77.054) Epoch: [33][4450/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.3186 (2.0904) Prec@1 40.000 (46.629) Prec@5 75.000 (77.054) Epoch: [33][4460/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0837 (2.0905) Prec@1 48.125 (46.627) Prec@5 78.750 (77.054) Epoch: [33][4470/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.6505 (2.0904) Prec@1 53.750 (46.631) Prec@5 85.000 (77.052) Epoch: [33][4480/11272] Time 0.903 (0.797) Data 0.002 (0.002) Loss 2.0762 (2.0904) Prec@1 49.375 (46.630) Prec@5 78.125 (77.051) Epoch: [33][4490/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.0293 (2.0904) Prec@1 48.125 (46.627) Prec@5 78.125 (77.051) Epoch: [33][4500/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.8881 (2.0904) Prec@1 49.375 (46.628) Prec@5 78.125 (77.051) Epoch: [33][4510/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0114 (2.0901) Prec@1 48.125 (46.630) Prec@5 76.875 (77.056) Epoch: [33][4520/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1847 (2.0901) Prec@1 50.000 (46.635) Prec@5 75.625 (77.060) Epoch: [33][4530/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.2568 (2.0902) Prec@1 40.625 (46.634) Prec@5 72.500 (77.059) Epoch: [33][4540/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.1929 (2.0902) Prec@1 45.000 (46.632) Prec@5 76.250 (77.060) Epoch: [33][4550/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.1151 (2.0903) Prec@1 41.250 (46.628) Prec@5 78.750 (77.060) Epoch: [33][4560/11272] Time 0.725 (0.797) Data 0.003 (0.002) Loss 1.9007 (2.0904) Prec@1 48.750 (46.627) Prec@5 80.625 (77.058) Epoch: [33][4570/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.0614 (2.0904) Prec@1 46.875 (46.624) Prec@5 77.500 (77.059) Epoch: [33][4580/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.3556 (2.0906) Prec@1 40.000 (46.622) Prec@5 71.875 (77.055) Epoch: [33][4590/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.2002 (2.0905) Prec@1 41.875 (46.625) Prec@5 76.250 (77.054) Epoch: [33][4600/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1529 (2.0906) Prec@1 43.125 (46.621) Prec@5 73.750 (77.052) Epoch: [33][4610/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 2.0803 (2.0908) Prec@1 46.250 (46.615) Prec@5 78.750 (77.050) Epoch: [33][4620/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.1866 (2.0908) Prec@1 42.500 (46.612) Prec@5 78.750 (77.052) Epoch: [33][4630/11272] Time 0.813 (0.797) Data 0.001 (0.002) Loss 2.1099 (2.0908) Prec@1 44.375 (46.611) Prec@5 77.500 (77.053) Epoch: [33][4640/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.0773 (2.0909) Prec@1 48.750 (46.610) Prec@5 76.250 (77.048) Epoch: [33][4650/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2103 (2.0909) Prec@1 42.500 (46.609) Prec@5 74.375 (77.053) Epoch: [33][4660/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.9353 (2.0909) Prec@1 48.750 (46.605) Prec@5 84.375 (77.051) Epoch: [33][4670/11272] Time 0.871 (0.797) Data 0.001 (0.002) Loss 2.2510 (2.0911) Prec@1 44.375 (46.603) Prec@5 75.000 (77.050) Epoch: [33][4680/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.0780 (2.0912) Prec@1 46.250 (46.600) Prec@5 77.500 (77.050) Epoch: [33][4690/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 2.0161 (2.0913) Prec@1 51.250 (46.600) Prec@5 80.000 (77.047) Epoch: [33][4700/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.3021 (2.0914) Prec@1 40.000 (46.596) Prec@5 76.250 (77.045) Epoch: [33][4710/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.0751 (2.0915) Prec@1 46.875 (46.595) Prec@5 73.125 (77.041) Epoch: [33][4720/11272] Time 0.712 (0.797) Data 0.001 (0.002) Loss 2.0022 (2.0916) Prec@1 51.250 (46.593) Prec@5 76.875 (77.039) Epoch: [33][4730/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 2.1997 (2.0916) Prec@1 44.375 (46.591) Prec@5 72.500 (77.038) Epoch: [33][4740/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.8256 (2.0915) Prec@1 56.250 (46.596) Prec@5 80.000 (77.039) Epoch: [33][4750/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0424 (2.0916) Prec@1 48.750 (46.596) Prec@5 78.125 (77.036) Epoch: [33][4760/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.0109 (2.0915) Prec@1 48.125 (46.597) Prec@5 78.125 (77.037) Epoch: [33][4770/11272] Time 0.881 (0.797) Data 0.001 (0.002) Loss 2.0272 (2.0916) Prec@1 48.125 (46.592) Prec@5 78.750 (77.034) Epoch: [33][4780/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.7065 (2.0918) Prec@1 50.625 (46.591) Prec@5 82.500 (77.031) Epoch: [33][4790/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2064 (2.0918) Prec@1 43.750 (46.590) Prec@5 73.750 (77.030) Epoch: [33][4800/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 1.9876 (2.0918) Prec@1 48.750 (46.587) Prec@5 77.500 (77.030) Epoch: [33][4810/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.0533 (2.0917) Prec@1 43.750 (46.585) Prec@5 81.250 (77.033) Epoch: [33][4820/11272] Time 0.733 (0.797) Data 0.003 (0.002) Loss 1.8787 (2.0918) Prec@1 55.625 (46.582) Prec@5 82.500 (77.033) Epoch: [33][4830/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.2794 (2.0920) Prec@1 43.750 (46.580) Prec@5 73.125 (77.029) Epoch: [33][4840/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.0173 (2.0920) Prec@1 46.875 (46.577) Prec@5 79.375 (77.029) Epoch: [33][4850/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 1.8867 (2.0921) Prec@1 46.875 (46.572) Prec@5 83.125 (77.027) Epoch: [33][4860/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.8511 (2.0920) Prec@1 53.750 (46.573) Prec@5 84.375 (77.032) Epoch: [33][4870/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.1995 (2.0923) Prec@1 43.750 (46.570) Prec@5 78.750 (77.029) Epoch: [33][4880/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0667 (2.0923) Prec@1 46.250 (46.565) Prec@5 75.000 (77.027) Epoch: [33][4890/11272] Time 0.894 (0.797) Data 0.002 (0.002) Loss 2.0993 (2.0924) Prec@1 46.250 (46.561) Prec@5 76.875 (77.029) Epoch: [33][4900/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.6062 (2.0925) Prec@1 37.500 (46.557) Prec@5 66.875 (77.028) Epoch: [33][4910/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.3356 (2.0927) Prec@1 45.000 (46.554) Prec@5 72.500 (77.025) Epoch: [33][4920/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1389 (2.0928) Prec@1 46.875 (46.552) Prec@5 70.625 (77.024) Epoch: [33][4930/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.0332 (2.0929) Prec@1 45.000 (46.549) Prec@5 77.500 (77.020) Epoch: [33][4940/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.0319 (2.0930) Prec@1 48.125 (46.547) Prec@5 82.500 (77.019) Epoch: [33][4950/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.1032 (2.0930) Prec@1 49.375 (46.548) Prec@5 74.375 (77.018) Epoch: [33][4960/11272] Time 0.861 (0.797) Data 0.002 (0.002) Loss 2.0679 (2.0930) Prec@1 47.500 (46.549) Prec@5 75.000 (77.019) Epoch: [33][4970/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1641 (2.0932) Prec@1 41.250 (46.547) Prec@5 75.625 (77.015) Epoch: [33][4980/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.4851 (2.0933) Prec@1 40.625 (46.543) Prec@5 69.375 (77.013) Epoch: [33][4990/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.3344 (2.0934) Prec@1 44.375 (46.543) Prec@5 76.875 (77.010) Epoch: [33][5000/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.2758 (2.0934) Prec@1 40.000 (46.543) Prec@5 80.625 (77.011) Epoch: [33][5010/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9705 (2.0932) Prec@1 50.625 (46.545) Prec@5 77.500 (77.016) Epoch: [33][5020/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 2.0983 (2.0934) Prec@1 42.500 (46.541) Prec@5 76.875 (77.012) Epoch: [33][5030/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.1108 (2.0934) Prec@1 48.125 (46.539) Prec@5 75.000 (77.012) Epoch: [33][5040/11272] Time 0.817 (0.797) Data 0.002 (0.002) Loss 2.3010 (2.0934) Prec@1 40.000 (46.538) Prec@5 70.625 (77.008) Epoch: [33][5050/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9753 (2.0934) Prec@1 43.750 (46.540) Prec@5 73.125 (77.006) Epoch: [33][5060/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.3903 (2.0935) Prec@1 39.375 (46.536) Prec@5 72.500 (77.003) Epoch: [33][5070/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.0120 (2.0935) Prec@1 48.125 (46.533) Prec@5 80.625 (77.003) Epoch: [33][5080/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2582 (2.0935) Prec@1 41.875 (46.531) Prec@5 75.000 (76.999) Epoch: [33][5090/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1207 (2.0934) Prec@1 45.000 (46.537) Prec@5 80.000 (77.002) Epoch: [33][5100/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.0269 (2.0934) Prec@1 47.500 (46.537) Prec@5 73.750 (77.000) Epoch: [33][5110/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 1.9718 (2.0934) Prec@1 48.750 (46.540) Prec@5 80.000 (76.998) Epoch: [33][5120/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.0718 (2.0935) Prec@1 50.000 (46.538) Prec@5 75.625 (76.998) Epoch: [33][5130/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 1.8807 (2.0936) Prec@1 50.000 (46.536) Prec@5 78.125 (76.996) Epoch: [33][5140/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0419 (2.0936) Prec@1 46.875 (46.535) Prec@5 77.500 (76.995) Epoch: [33][5150/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2682 (2.0935) Prec@1 44.375 (46.537) Prec@5 75.625 (76.997) Epoch: [33][5160/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.1708 (2.0936) Prec@1 43.125 (46.536) Prec@5 78.125 (76.994) Epoch: [33][5170/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2885 (2.0935) Prec@1 45.000 (46.536) Prec@5 71.875 (76.995) Epoch: [33][5180/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 1.7759 (2.0935) Prec@1 51.250 (46.536) Prec@5 83.750 (76.995) Epoch: [33][5190/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.8738 (2.0935) Prec@1 50.625 (46.536) Prec@5 84.375 (76.997) Epoch: [33][5200/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.2105 (2.0936) Prec@1 45.000 (46.536) Prec@5 75.000 (76.997) Epoch: [33][5210/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.7939 (2.0935) Prec@1 49.375 (46.537) Prec@5 82.500 (76.999) Epoch: [33][5220/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.1203 (2.0936) Prec@1 46.875 (46.532) Prec@5 80.625 (76.997) Epoch: [33][5230/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.2108 (2.0937) Prec@1 40.625 (46.532) Prec@5 78.750 (76.995) Epoch: [33][5240/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 1.8987 (2.0935) Prec@1 46.250 (46.532) Prec@5 80.000 (76.998) Epoch: [33][5250/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.1279 (2.0933) Prec@1 50.000 (46.536) Prec@5 76.875 (77.003) Epoch: [33][5260/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.1142 (2.0934) Prec@1 40.000 (46.534) Prec@5 80.625 (77.001) Epoch: [33][5270/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9706 (2.0936) Prec@1 50.625 (46.530) Prec@5 78.750 (76.999) Epoch: [33][5280/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.2208 (2.0937) Prec@1 46.250 (46.525) Prec@5 74.375 (76.996) Epoch: [33][5290/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1037 (2.0938) Prec@1 46.250 (46.524) Prec@5 75.000 (76.996) Epoch: [33][5300/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.3809 (2.0938) Prec@1 38.125 (46.521) Prec@5 71.875 (76.993) Epoch: [33][5310/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.1770 (2.0938) Prec@1 40.625 (46.521) Prec@5 78.125 (76.993) Epoch: [33][5320/11272] Time 0.779 (0.797) Data 0.002 (0.002) Loss 2.3005 (2.0940) Prec@1 41.875 (46.515) Prec@5 72.500 (76.990) Epoch: [33][5330/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1998 (2.0941) Prec@1 46.250 (46.518) Prec@5 73.750 (76.991) Epoch: [33][5340/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.2893 (2.0941) Prec@1 43.125 (46.519) Prec@5 75.000 (76.989) Epoch: [33][5350/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9405 (2.0941) Prec@1 52.500 (46.519) Prec@5 81.250 (76.987) Epoch: [33][5360/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0287 (2.0941) Prec@1 47.500 (46.520) Prec@5 76.250 (76.985) Epoch: [33][5370/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9452 (2.0942) Prec@1 53.125 (46.516) Prec@5 80.000 (76.983) Epoch: [33][5380/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 1.9415 (2.0942) Prec@1 50.000 (46.515) Prec@5 79.375 (76.984) Epoch: [33][5390/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 1.9784 (2.0942) Prec@1 46.875 (46.515) Prec@5 80.625 (76.987) Epoch: [33][5400/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.0612 (2.0942) Prec@1 46.875 (46.515) Prec@5 77.500 (76.987) Epoch: [33][5410/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.1139 (2.0942) Prec@1 44.375 (46.516) Prec@5 73.750 (76.986) Epoch: [33][5420/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.1466 (2.0943) Prec@1 44.375 (46.511) Prec@5 75.000 (76.986) Epoch: [33][5430/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.8254 (2.0942) Prec@1 51.250 (46.513) Prec@5 80.625 (76.988) Epoch: [33][5440/11272] Time 0.893 (0.797) Data 0.001 (0.002) Loss 2.4271 (2.0942) Prec@1 40.000 (46.513) Prec@5 73.125 (76.990) Epoch: [33][5450/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 2.2323 (2.0942) Prec@1 41.875 (46.508) Prec@5 68.750 (76.989) Epoch: [33][5460/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.3370 (2.0944) Prec@1 41.875 (46.506) Prec@5 71.875 (76.985) Epoch: [33][5470/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.3536 (2.0945) Prec@1 42.500 (46.503) Prec@5 72.500 (76.983) Epoch: [33][5480/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.0879 (2.0947) Prec@1 46.250 (46.499) Prec@5 73.750 (76.980) Epoch: [33][5490/11272] Time 0.740 (0.797) Data 0.003 (0.002) Loss 1.8214 (2.0946) Prec@1 51.875 (46.500) Prec@5 78.750 (76.981) Epoch: [33][5500/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.0919 (2.0947) Prec@1 48.125 (46.497) Prec@5 75.625 (76.979) Epoch: [33][5510/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.8909 (2.0945) Prec@1 48.125 (46.499) Prec@5 80.625 (76.983) Epoch: [33][5520/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.9385 (2.0944) Prec@1 50.625 (46.501) Prec@5 77.500 (76.982) Epoch: [33][5530/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 2.0893 (2.0943) Prec@1 50.625 (46.504) Prec@5 77.500 (76.984) Epoch: [33][5540/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9464 (2.0944) Prec@1 54.375 (46.503) Prec@5 79.375 (76.984) Epoch: [33][5550/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0877 (2.0944) Prec@1 45.625 (46.504) Prec@5 76.250 (76.983) Epoch: [33][5560/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.3239 (2.0945) Prec@1 40.000 (46.500) Prec@5 71.250 (76.981) Epoch: [33][5570/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1931 (2.0944) Prec@1 44.375 (46.505) Prec@5 78.750 (76.986) Epoch: [33][5580/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.1116 (2.0945) Prec@1 40.000 (46.503) Prec@5 81.875 (76.983) Epoch: [33][5590/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.9765 (2.0945) Prec@1 48.125 (46.503) Prec@5 78.750 (76.983) Epoch: [33][5600/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 2.0231 (2.0946) Prec@1 43.750 (46.503) Prec@5 75.625 (76.981) Epoch: [33][5610/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.2238 (2.0945) Prec@1 45.625 (46.501) Prec@5 75.625 (76.981) Epoch: [33][5620/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0203 (2.0945) Prec@1 52.500 (46.505) Prec@5 78.125 (76.981) Epoch: [33][5630/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.2218 (2.0946) Prec@1 49.375 (46.505) Prec@5 71.875 (76.979) Epoch: [33][5640/11272] Time 0.800 (0.797) Data 0.002 (0.002) Loss 2.2332 (2.0946) Prec@1 38.125 (46.502) Prec@5 75.625 (76.979) Epoch: [33][5650/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.8801 (2.0945) Prec@1 50.000 (46.502) Prec@5 80.000 (76.982) Epoch: [33][5660/11272] Time 0.860 (0.797) Data 0.001 (0.002) Loss 1.9252 (2.0945) Prec@1 46.250 (46.500) Prec@5 80.625 (76.982) Epoch: [33][5670/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.2329 (2.0945) Prec@1 43.750 (46.499) Prec@5 71.250 (76.981) Epoch: [33][5680/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.9515 (2.0946) Prec@1 48.125 (46.499) Prec@5 81.250 (76.983) Epoch: [33][5690/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9038 (2.0945) Prec@1 49.375 (46.501) Prec@5 81.250 (76.985) Epoch: [33][5700/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.2923 (2.0943) Prec@1 41.875 (46.502) Prec@5 78.125 (76.987) Epoch: [33][5710/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.2277 (2.0943) Prec@1 41.875 (46.501) Prec@5 72.500 (76.987) Epoch: [33][5720/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0460 (2.0943) Prec@1 46.250 (46.503) Prec@5 77.500 (76.990) Epoch: [33][5730/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.1693 (2.0943) Prec@1 44.375 (46.500) Prec@5 75.625 (76.988) Epoch: [33][5740/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.1002 (2.0943) Prec@1 47.500 (46.499) Prec@5 79.375 (76.987) Epoch: [33][5750/11272] Time 0.774 (0.797) Data 0.004 (0.002) Loss 1.8855 (2.0942) Prec@1 51.875 (46.504) Prec@5 83.125 (76.987) Epoch: [33][5760/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9828 (2.0942) Prec@1 48.750 (46.505) Prec@5 78.750 (76.988) Epoch: [33][5770/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 2.2474 (2.0941) Prec@1 43.125 (46.506) Prec@5 70.625 (76.988) Epoch: [33][5780/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0991 (2.0940) Prec@1 44.375 (46.512) Prec@5 82.500 (76.989) Epoch: [33][5790/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0734 (2.0941) Prec@1 50.000 (46.511) Prec@5 76.875 (76.989) Epoch: [33][5800/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1546 (2.0941) Prec@1 42.500 (46.513) Prec@5 79.375 (76.989) Epoch: [33][5810/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.0776 (2.0942) Prec@1 48.125 (46.515) Prec@5 77.500 (76.991) Epoch: [33][5820/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.3813 (2.0942) Prec@1 44.375 (46.515) Prec@5 72.500 (76.989) Epoch: [33][5830/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9295 (2.0942) Prec@1 49.375 (46.514) Prec@5 78.750 (76.991) Epoch: [33][5840/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.8710 (2.0942) Prec@1 53.125 (46.513) Prec@5 80.625 (76.991) Epoch: [33][5850/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 1.9820 (2.0941) Prec@1 46.250 (46.513) Prec@5 79.375 (76.992) Epoch: [33][5860/11272] Time 0.885 (0.797) Data 0.001 (0.002) Loss 2.1513 (2.0941) Prec@1 46.250 (46.512) Prec@5 77.500 (76.993) Epoch: [33][5870/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0821 (2.0941) Prec@1 48.125 (46.511) Prec@5 78.125 (76.991) Epoch: [33][5880/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.2359 (2.0941) Prec@1 46.250 (46.512) Prec@5 72.500 (76.993) Epoch: [33][5890/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.0403 (2.0941) Prec@1 49.375 (46.511) Prec@5 80.625 (76.995) Epoch: [33][5900/11272] Time 0.754 (0.797) Data 0.001 (0.002) Loss 2.0924 (2.0940) Prec@1 49.375 (46.513) Prec@5 73.750 (76.996) Epoch: [33][5910/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1539 (2.0940) Prec@1 46.875 (46.513) Prec@5 75.625 (76.997) Epoch: [33][5920/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.0497 (2.0940) Prec@1 42.500 (46.511) Prec@5 79.375 (76.995) Epoch: [33][5930/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1263 (2.0940) Prec@1 50.000 (46.513) Prec@5 81.250 (76.996) Epoch: [33][5940/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1001 (2.0940) Prec@1 44.375 (46.515) Prec@5 76.875 (76.996) Epoch: [33][5950/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.9211 (2.0942) Prec@1 51.250 (46.515) Prec@5 81.875 (76.992) Epoch: [33][5960/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.8595 (2.0941) Prec@1 48.125 (46.517) Prec@5 83.750 (76.994) Epoch: [33][5970/11272] Time 0.809 (0.797) Data 0.001 (0.002) Loss 2.2342 (2.0941) Prec@1 47.500 (46.517) Prec@5 76.250 (76.993) Epoch: [33][5980/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.3378 (2.0941) Prec@1 38.125 (46.517) Prec@5 70.625 (76.992) Epoch: [33][5990/11272] Time 0.789 (0.797) Data 0.002 (0.002) Loss 2.0938 (2.0941) Prec@1 42.500 (46.514) Prec@5 78.125 (76.991) Epoch: [33][6000/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0357 (2.0941) Prec@1 46.250 (46.514) Prec@5 75.625 (76.990) Epoch: [33][6010/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.3229 (2.0941) Prec@1 39.375 (46.514) Prec@5 72.500 (76.990) Epoch: [33][6020/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1431 (2.0941) Prec@1 48.125 (46.516) Prec@5 80.625 (76.989) Epoch: [33][6030/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.1979 (2.0940) Prec@1 36.875 (46.517) Prec@5 76.250 (76.987) Epoch: [33][6040/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.2058 (2.0939) Prec@1 45.000 (46.520) Prec@5 75.000 (76.988) Epoch: [33][6050/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0435 (2.0940) Prec@1 47.500 (46.515) Prec@5 74.375 (76.986) Epoch: [33][6060/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 1.9929 (2.0941) Prec@1 44.375 (46.513) Prec@5 80.625 (76.988) Epoch: [33][6070/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.3443 (2.0941) Prec@1 45.000 (46.514) Prec@5 73.125 (76.988) Epoch: [33][6080/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0487 (2.0940) Prec@1 47.500 (46.512) Prec@5 79.375 (76.990) Epoch: [33][6090/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.2326 (2.0941) Prec@1 41.250 (46.510) Prec@5 75.000 (76.989) Epoch: [33][6100/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9983 (2.0940) Prec@1 51.250 (46.511) Prec@5 78.750 (76.991) Epoch: [33][6110/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 1.9684 (2.0940) Prec@1 55.625 (46.511) Prec@5 79.375 (76.991) Epoch: [33][6120/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0696 (2.0940) Prec@1 50.625 (46.510) Prec@5 76.875 (76.988) Epoch: [33][6130/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.0304 (2.0941) Prec@1 47.500 (46.508) Prec@5 75.625 (76.986) Epoch: [33][6140/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.9084 (2.0940) Prec@1 51.875 (46.510) Prec@5 78.125 (76.989) Epoch: [33][6150/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.3971 (2.0941) Prec@1 38.750 (46.508) Prec@5 70.625 (76.987) Epoch: [33][6160/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1322 (2.0942) Prec@1 48.750 (46.506) Prec@5 75.625 (76.984) Epoch: [33][6170/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.4684 (2.0942) Prec@1 36.250 (46.505) Prec@5 70.625 (76.984) Epoch: [33][6180/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 1.8523 (2.0942) Prec@1 51.250 (46.505) Prec@5 83.750 (76.982) Epoch: [33][6190/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.4173 (2.0944) Prec@1 39.375 (46.502) Prec@5 73.125 (76.981) Epoch: [33][6200/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.1218 (2.0944) Prec@1 43.750 (46.502) Prec@5 78.125 (76.980) Epoch: [33][6210/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9459 (2.0944) Prec@1 48.125 (46.504) Prec@5 79.375 (76.980) Epoch: [33][6220/11272] Time 0.912 (0.797) Data 0.002 (0.002) Loss 2.1994 (2.0944) Prec@1 44.375 (46.504) Prec@5 75.625 (76.980) Epoch: [33][6230/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.7788 (2.0944) Prec@1 53.750 (46.503) Prec@5 81.250 (76.979) Epoch: [33][6240/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.0134 (2.0944) Prec@1 51.250 (46.503) Prec@5 75.000 (76.980) Epoch: [33][6250/11272] Time 0.778 (0.797) Data 0.002 (0.002) Loss 2.0904 (2.0944) Prec@1 49.375 (46.505) Prec@5 77.500 (76.978) Epoch: [33][6260/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.0617 (2.0946) Prec@1 46.250 (46.502) Prec@5 80.625 (76.976) Epoch: [33][6270/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.4300 (2.0946) Prec@1 36.875 (46.501) Prec@5 70.000 (76.973) Epoch: [33][6280/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.4814 (2.0946) Prec@1 38.125 (46.500) Prec@5 68.125 (76.974) Epoch: [33][6290/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 2.0018 (2.0946) Prec@1 43.750 (46.498) Prec@5 76.875 (76.976) Epoch: [33][6300/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.2362 (2.0946) Prec@1 48.125 (46.497) Prec@5 68.125 (76.977) Epoch: [33][6310/11272] Time 0.764 (0.797) Data 0.001 (0.002) Loss 2.1064 (2.0947) Prec@1 48.125 (46.495) Prec@5 81.250 (76.975) Epoch: [33][6320/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1021 (2.0947) Prec@1 53.125 (46.493) Prec@5 80.000 (76.975) Epoch: [33][6330/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0082 (2.0948) Prec@1 46.875 (46.489) Prec@5 76.875 (76.975) Epoch: [33][6340/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.0883 (2.0949) Prec@1 46.250 (46.488) Prec@5 75.625 (76.974) Epoch: [33][6350/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0396 (2.0948) Prec@1 45.625 (46.490) Prec@5 76.250 (76.976) Epoch: [33][6360/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 2.0465 (2.0948) Prec@1 51.250 (46.491) Prec@5 80.000 (76.977) Epoch: [33][6370/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 1.9518 (2.0947) Prec@1 51.875 (46.492) Prec@5 79.375 (76.978) Epoch: [33][6380/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1448 (2.0947) Prec@1 41.250 (46.491) Prec@5 75.625 (76.978) Epoch: [33][6390/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.2531 (2.0947) Prec@1 40.000 (46.491) Prec@5 76.875 (76.979) Epoch: [33][6400/11272] Time 0.774 (0.797) Data 0.002 (0.002) Loss 2.1111 (2.0948) Prec@1 47.500 (46.487) Prec@5 78.125 (76.978) Epoch: [33][6410/11272] Time 0.861 (0.797) Data 0.002 (0.002) Loss 2.0115 (2.0948) Prec@1 49.375 (46.488) Prec@5 80.000 (76.977) Epoch: [33][6420/11272] Time 0.728 (0.797) Data 0.003 (0.002) Loss 2.0744 (2.0948) Prec@1 49.375 (46.489) Prec@5 78.125 (76.977) Epoch: [33][6430/11272] Time 0.763 (0.797) Data 0.001 (0.002) Loss 1.8789 (2.0948) Prec@1 51.875 (46.488) Prec@5 80.000 (76.977) Epoch: [33][6440/11272] Time 0.861 (0.797) Data 0.002 (0.002) Loss 2.0283 (2.0949) Prec@1 46.875 (46.489) Prec@5 76.875 (76.977) Epoch: [33][6450/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.1134 (2.0949) Prec@1 41.250 (46.489) Prec@5 77.500 (76.975) Epoch: [33][6460/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1413 (2.0949) Prec@1 45.000 (46.486) Prec@5 73.750 (76.976) Epoch: [33][6470/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.2737 (2.0949) Prec@1 43.125 (46.487) Prec@5 75.625 (76.977) Epoch: [33][6480/11272] Time 0.894 (0.797) Data 0.001 (0.002) Loss 2.3257 (2.0948) Prec@1 45.000 (46.488) Prec@5 71.250 (76.978) Epoch: [33][6490/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.1105 (2.0948) Prec@1 50.000 (46.488) Prec@5 79.375 (76.979) Epoch: [33][6500/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.2088 (2.0949) Prec@1 40.000 (46.490) Prec@5 74.375 (76.976) Epoch: [33][6510/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1158 (2.0950) Prec@1 38.750 (46.487) Prec@5 76.250 (76.977) Epoch: [33][6520/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9674 (2.0950) Prec@1 46.875 (46.485) Prec@5 79.375 (76.977) Epoch: [33][6530/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.3791 (2.0950) Prec@1 37.500 (46.485) Prec@5 71.875 (76.977) Epoch: [33][6540/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.1048 (2.0949) Prec@1 46.250 (46.485) Prec@5 73.125 (76.979) Epoch: [33][6550/11272] Time 0.890 (0.797) Data 0.002 (0.002) Loss 2.2156 (2.0949) Prec@1 49.375 (46.486) Prec@5 69.375 (76.979) Epoch: [33][6560/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.9991 (2.0949) Prec@1 49.375 (46.486) Prec@5 80.000 (76.981) Epoch: [33][6570/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 1.8118 (2.0948) Prec@1 53.750 (46.487) Prec@5 81.250 (76.983) Epoch: [33][6580/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0593 (2.0947) Prec@1 45.625 (46.484) Prec@5 76.875 (76.984) Epoch: [33][6590/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 2.1801 (2.0947) Prec@1 39.375 (46.482) Prec@5 77.500 (76.984) Epoch: [33][6600/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0205 (2.0946) Prec@1 50.000 (46.485) Prec@5 76.250 (76.987) Epoch: [33][6610/11272] Time 0.754 (0.797) Data 0.001 (0.002) Loss 2.1499 (2.0946) Prec@1 45.000 (46.483) Prec@5 75.000 (76.986) Epoch: [33][6620/11272] Time 0.714 (0.797) Data 0.001 (0.002) Loss 2.1819 (2.0946) Prec@1 45.000 (46.481) Prec@5 74.375 (76.987) Epoch: [33][6630/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.9453 (2.0946) Prec@1 48.750 (46.482) Prec@5 80.000 (76.986) Epoch: [33][6640/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.3218 (2.0947) Prec@1 44.375 (46.479) Prec@5 73.750 (76.984) Epoch: [33][6650/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1295 (2.0949) Prec@1 49.375 (46.477) Prec@5 78.750 (76.983) Epoch: [33][6660/11272] Time 0.741 (0.797) Data 0.007 (0.002) Loss 2.0851 (2.0948) Prec@1 49.375 (46.480) Prec@5 77.500 (76.983) Epoch: [33][6670/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0616 (2.0948) Prec@1 46.250 (46.481) Prec@5 79.375 (76.983) Epoch: [33][6680/11272] Time 0.771 (0.797) Data 0.003 (0.002) Loss 2.2560 (2.0949) Prec@1 43.750 (46.481) Prec@5 71.875 (76.980) Epoch: [33][6690/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 2.2041 (2.0949) Prec@1 42.500 (46.479) Prec@5 76.875 (76.979) Epoch: [33][6700/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.0560 (2.0949) Prec@1 45.000 (46.481) Prec@5 76.250 (76.979) Epoch: [33][6710/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.2478 (2.0949) Prec@1 45.625 (46.482) Prec@5 73.125 (76.981) Epoch: [33][6720/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 1.8704 (2.0949) Prec@1 53.750 (46.482) Prec@5 83.125 (76.981) Epoch: [33][6730/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1752 (2.0948) Prec@1 46.875 (46.482) Prec@5 74.375 (76.984) Epoch: [33][6740/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9420 (2.0949) Prec@1 53.750 (46.481) Prec@5 79.375 (76.983) Epoch: [33][6750/11272] Time 0.883 (0.797) Data 0.002 (0.002) Loss 2.1171 (2.0949) Prec@1 47.500 (46.479) Prec@5 73.750 (76.982) Epoch: [33][6760/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1241 (2.0949) Prec@1 46.250 (46.478) Prec@5 75.625 (76.982) Epoch: [33][6770/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1207 (2.0950) Prec@1 48.125 (46.479) Prec@5 80.000 (76.982) Epoch: [33][6780/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.2240 (2.0950) Prec@1 39.375 (46.478) Prec@5 76.250 (76.980) Epoch: [33][6790/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.0202 (2.0950) Prec@1 48.125 (46.478) Prec@5 80.000 (76.981) Epoch: [33][6800/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.2049 (2.0950) Prec@1 43.750 (46.477) Prec@5 78.750 (76.983) Epoch: [33][6810/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 2.1403 (2.0950) Prec@1 40.625 (46.476) Prec@5 71.250 (76.981) Epoch: [33][6820/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1262 (2.0950) Prec@1 51.875 (46.478) Prec@5 80.625 (76.981) Epoch: [33][6830/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.0593 (2.0950) Prec@1 45.000 (46.479) Prec@5 78.750 (76.982) Epoch: [33][6840/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.1408 (2.0950) Prec@1 41.875 (46.476) Prec@5 78.125 (76.982) Epoch: [33][6850/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9772 (2.0949) Prec@1 52.500 (46.479) Prec@5 81.250 (76.983) Epoch: [33][6860/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.5192 (2.0951) Prec@1 41.875 (46.476) Prec@5 70.000 (76.980) Epoch: [33][6870/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.0266 (2.0950) Prec@1 46.875 (46.478) Prec@5 78.750 (76.983) Epoch: [33][6880/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0810 (2.0950) Prec@1 50.000 (46.478) Prec@5 75.000 (76.982) Epoch: [33][6890/11272] Time 0.893 (0.797) Data 0.001 (0.002) Loss 2.1956 (2.0951) Prec@1 41.875 (46.476) Prec@5 76.250 (76.982) Epoch: [33][6900/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 1.9118 (2.0950) Prec@1 50.000 (46.478) Prec@5 81.875 (76.983) Epoch: [33][6910/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.0523 (2.0951) Prec@1 45.000 (46.478) Prec@5 78.125 (76.981) Epoch: [33][6920/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.2091 (2.0950) Prec@1 46.875 (46.478) Prec@5 76.250 (76.982) Epoch: [33][6930/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.0134 (2.0950) Prec@1 48.750 (46.478) Prec@5 76.875 (76.980) Epoch: [33][6940/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.0336 (2.0950) Prec@1 46.875 (46.478) Prec@5 81.250 (76.981) Epoch: [33][6950/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2295 (2.0950) Prec@1 40.625 (46.480) Prec@5 78.125 (76.980) Epoch: [33][6960/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 2.2295 (2.0951) Prec@1 43.125 (46.479) Prec@5 75.625 (76.980) Epoch: [33][6970/11272] Time 0.908 (0.797) Data 0.002 (0.002) Loss 2.1327 (2.0951) Prec@1 48.125 (46.479) Prec@5 72.500 (76.980) Epoch: [33][6980/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0633 (2.0951) Prec@1 49.375 (46.477) Prec@5 79.375 (76.980) Epoch: [33][6990/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.2509 (2.0951) Prec@1 45.000 (46.478) Prec@5 73.750 (76.980) Epoch: [33][7000/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.8425 (2.0951) Prec@1 52.500 (46.477) Prec@5 81.875 (76.981) Epoch: [33][7010/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.1186 (2.0951) Prec@1 46.250 (46.474) Prec@5 76.875 (76.981) Epoch: [33][7020/11272] Time 0.780 (0.797) Data 0.002 (0.002) Loss 2.4658 (2.0952) Prec@1 40.000 (46.470) Prec@5 73.750 (76.978) Epoch: [33][7030/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.3628 (2.0952) Prec@1 40.625 (46.473) Prec@5 76.250 (76.980) Epoch: [33][7040/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 2.3147 (2.0951) Prec@1 40.000 (46.472) Prec@5 75.000 (76.982) Epoch: [33][7050/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.0872 (2.0952) Prec@1 43.125 (46.469) Prec@5 79.375 (76.981) Epoch: [33][7060/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9172 (2.0952) Prec@1 47.500 (46.469) Prec@5 83.750 (76.981) Epoch: [33][7070/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.0128 (2.0951) Prec@1 46.250 (46.472) Prec@5 78.125 (76.983) Epoch: [33][7080/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.9469 (2.0950) Prec@1 48.750 (46.474) Prec@5 76.875 (76.983) Epoch: [33][7090/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.8860 (2.0949) Prec@1 50.000 (46.476) Prec@5 80.625 (76.982) Epoch: [33][7100/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 2.0098 (2.0947) Prec@1 41.875 (46.475) Prec@5 80.000 (76.985) Epoch: [33][7110/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.1118 (2.0948) Prec@1 47.500 (46.476) Prec@5 78.125 (76.984) Epoch: [33][7120/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.8202 (2.0947) Prec@1 50.000 (46.475) Prec@5 81.875 (76.985) Epoch: [33][7130/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.2197 (2.0947) Prec@1 45.000 (46.476) Prec@5 73.750 (76.985) Epoch: [33][7140/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.2912 (2.0947) Prec@1 44.375 (46.474) Prec@5 70.625 (76.986) Epoch: [33][7150/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9210 (2.0947) Prec@1 48.125 (46.473) Prec@5 82.500 (76.987) Epoch: [33][7160/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.9597 (2.0948) Prec@1 50.625 (46.469) Prec@5 78.750 (76.984) Epoch: [33][7170/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.2012 (2.0948) Prec@1 48.125 (46.469) Prec@5 76.250 (76.984) Epoch: [33][7180/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.0630 (2.0949) Prec@1 46.875 (46.469) Prec@5 78.125 (76.983) Epoch: [33][7190/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.0787 (2.0950) Prec@1 46.250 (46.467) Prec@5 78.125 (76.981) Epoch: [33][7200/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2875 (2.0949) Prec@1 41.875 (46.469) Prec@5 73.750 (76.981) Epoch: [33][7210/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.2638 (2.0950) Prec@1 43.125 (46.468) Prec@5 73.750 (76.981) Epoch: [33][7220/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.8159 (2.0949) Prec@1 55.625 (46.471) Prec@5 81.875 (76.982) Epoch: [33][7230/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0115 (2.0950) Prec@1 46.875 (46.468) Prec@5 78.125 (76.982) Epoch: [33][7240/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2225 (2.0950) Prec@1 41.250 (46.471) Prec@5 76.250 (76.982) Epoch: [33][7250/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.2138 (2.0949) Prec@1 43.125 (46.474) Prec@5 76.875 (76.986) Epoch: [33][7260/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.1762 (2.0948) Prec@1 50.000 (46.475) Prec@5 72.500 (76.987) Epoch: [33][7270/11272] Time 0.909 (0.797) Data 0.002 (0.002) Loss 1.9549 (2.0948) Prec@1 53.125 (46.478) Prec@5 81.875 (76.988) Epoch: [33][7280/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0219 (2.0949) Prec@1 53.125 (46.477) Prec@5 76.875 (76.985) Epoch: [33][7290/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.3892 (2.0949) Prec@1 40.000 (46.476) Prec@5 72.500 (76.984) Epoch: [33][7300/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 2.1101 (2.0949) Prec@1 50.000 (46.477) Prec@5 74.375 (76.985) Epoch: [33][7310/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.0945 (2.0949) Prec@1 48.750 (46.479) Prec@5 75.000 (76.986) Epoch: [33][7320/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.1305 (2.0950) Prec@1 46.250 (46.477) Prec@5 78.750 (76.985) Epoch: [33][7330/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.2467 (2.0949) Prec@1 47.500 (46.480) Prec@5 70.625 (76.986) Epoch: [33][7340/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.9825 (2.0949) Prec@1 52.500 (46.479) Prec@5 80.625 (76.985) Epoch: [33][7350/11272] Time 0.737 (0.797) Data 0.003 (0.002) Loss 2.3310 (2.0951) Prec@1 41.250 (46.478) Prec@5 68.750 (76.983) Epoch: [33][7360/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.0371 (2.0951) Prec@1 48.125 (46.477) Prec@5 74.375 (76.983) Epoch: [33][7370/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0799 (2.0950) Prec@1 48.750 (46.477) Prec@5 76.875 (76.982) Epoch: [33][7380/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.2148 (2.0951) Prec@1 44.375 (46.477) Prec@5 78.125 (76.983) Epoch: [33][7390/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 1.9217 (2.0952) Prec@1 53.125 (46.476) Prec@5 80.625 (76.982) Epoch: [33][7400/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2240 (2.0953) Prec@1 40.625 (46.475) Prec@5 74.375 (76.979) Epoch: [33][7410/11272] Time 0.896 (0.797) Data 0.002 (0.002) Loss 2.2295 (2.0953) Prec@1 42.500 (46.475) Prec@5 74.375 (76.979) Epoch: [33][7420/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.1619 (2.0954) Prec@1 46.875 (46.475) Prec@5 73.750 (76.977) Epoch: [33][7430/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.9881 (2.0953) Prec@1 52.500 (46.478) Prec@5 81.250 (76.978) Epoch: [33][7440/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0642 (2.0954) Prec@1 46.250 (46.476) Prec@5 80.000 (76.978) Epoch: [33][7450/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 1.9611 (2.0954) Prec@1 51.875 (46.477) Prec@5 80.000 (76.978) Epoch: [33][7460/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.3700 (2.0954) Prec@1 45.000 (46.477) Prec@5 69.375 (76.978) Epoch: [33][7470/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 1.9063 (2.0953) Prec@1 45.625 (46.479) Prec@5 83.750 (76.981) Epoch: [33][7480/11272] Time 0.905 (0.797) Data 0.002 (0.002) Loss 1.8591 (2.0953) Prec@1 50.000 (46.479) Prec@5 80.000 (76.979) Epoch: [33][7490/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2101 (2.0952) Prec@1 38.750 (46.478) Prec@5 76.875 (76.982) Epoch: [33][7500/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.9335 (2.0952) Prec@1 45.000 (46.478) Prec@5 81.250 (76.985) Epoch: [33][7510/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0172 (2.0952) Prec@1 43.750 (46.476) Prec@5 81.875 (76.986) Epoch: [33][7520/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 2.1622 (2.0952) Prec@1 44.375 (46.476) Prec@5 79.375 (76.987) Epoch: [33][7530/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1416 (2.0952) Prec@1 45.625 (46.475) Prec@5 76.250 (76.988) Epoch: [33][7540/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 1.8057 (2.0953) Prec@1 53.750 (46.473) Prec@5 82.500 (76.987) Epoch: [33][7550/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.3396 (2.0953) Prec@1 38.125 (46.472) Prec@5 68.750 (76.987) Epoch: [33][7560/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0734 (2.0952) Prec@1 50.000 (46.475) Prec@5 78.125 (76.989) Epoch: [33][7570/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.3096 (2.0952) Prec@1 40.625 (46.475) Prec@5 71.875 (76.989) Epoch: [33][7580/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 1.9474 (2.0952) Prec@1 45.625 (46.476) Prec@5 80.000 (76.989) Epoch: [33][7590/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.1037 (2.0952) Prec@1 48.750 (46.474) Prec@5 79.375 (76.987) Epoch: [33][7600/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.1862 (2.0952) Prec@1 43.125 (46.474) Prec@5 75.000 (76.986) Epoch: [33][7610/11272] Time 0.741 (0.797) Data 0.003 (0.002) Loss 2.1050 (2.0953) Prec@1 46.250 (46.471) Prec@5 76.250 (76.983) Epoch: [33][7620/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0714 (2.0953) Prec@1 44.375 (46.472) Prec@5 77.500 (76.983) Epoch: [33][7630/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9483 (2.0953) Prec@1 51.250 (46.472) Prec@5 78.750 (76.983) Epoch: [33][7640/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.3094 (2.0953) Prec@1 42.500 (46.472) Prec@5 71.250 (76.981) Epoch: [33][7650/11272] Time 0.716 (0.797) Data 0.001 (0.002) Loss 2.2714 (2.0953) Prec@1 41.875 (46.471) Prec@5 78.125 (76.981) Epoch: [33][7660/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.2529 (2.0954) Prec@1 40.000 (46.470) Prec@5 75.625 (76.980) Epoch: [33][7670/11272] Time 0.876 (0.797) Data 0.006 (0.002) Loss 2.1773 (2.0954) Prec@1 41.875 (46.469) Prec@5 75.625 (76.980) Epoch: [33][7680/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.9558 (2.0953) Prec@1 50.625 (46.471) Prec@5 80.000 (76.981) Epoch: [33][7690/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.9703 (2.0953) Prec@1 49.375 (46.472) Prec@5 78.125 (76.982) Epoch: [33][7700/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 2.0969 (2.0954) Prec@1 48.125 (46.470) Prec@5 75.000 (76.980) Epoch: [33][7710/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.3303 (2.0953) Prec@1 41.875 (46.472) Prec@5 73.125 (76.980) Epoch: [33][7720/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.1516 (2.0954) Prec@1 41.875 (46.470) Prec@5 76.875 (76.979) Epoch: [33][7730/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.0033 (2.0954) Prec@1 50.000 (46.469) Prec@5 76.250 (76.979) Epoch: [33][7740/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.3894 (2.0954) Prec@1 41.250 (46.470) Prec@5 73.125 (76.980) Epoch: [33][7750/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.1580 (2.0954) Prec@1 46.250 (46.469) Prec@5 76.875 (76.981) Epoch: [33][7760/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.1025 (2.0954) Prec@1 43.125 (46.468) Prec@5 76.875 (76.982) Epoch: [33][7770/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9055 (2.0954) Prec@1 52.500 (46.467) Prec@5 80.000 (76.981) Epoch: [33][7780/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0095 (2.0955) Prec@1 51.875 (46.463) Prec@5 80.000 (76.978) Epoch: [33][7790/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.8637 (2.0955) Prec@1 53.125 (46.464) Prec@5 80.000 (76.979) Epoch: [33][7800/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0758 (2.0956) Prec@1 50.000 (46.463) Prec@5 74.375 (76.977) Epoch: [33][7810/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.3840 (2.0955) Prec@1 46.875 (46.465) Prec@5 70.000 (76.979) Epoch: [33][7820/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0972 (2.0956) Prec@1 43.750 (46.465) Prec@5 80.625 (76.979) Epoch: [33][7830/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.0581 (2.0957) Prec@1 43.125 (46.462) Prec@5 80.625 (76.977) Epoch: [33][7840/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0224 (2.0956) Prec@1 48.750 (46.465) Prec@5 76.875 (76.978) Epoch: [33][7850/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.0129 (2.0956) Prec@1 44.375 (46.464) Prec@5 77.500 (76.977) Epoch: [33][7860/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 1.9668 (2.0956) Prec@1 51.250 (46.465) Prec@5 76.875 (76.977) Epoch: [33][7870/11272] Time 0.818 (0.797) Data 0.002 (0.002) Loss 1.9687 (2.0956) Prec@1 50.625 (46.463) Prec@5 81.250 (76.979) Epoch: [33][7880/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.3317 (2.0957) Prec@1 41.875 (46.462) Prec@5 71.250 (76.978) Epoch: [33][7890/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.2297 (2.0956) Prec@1 41.875 (46.463) Prec@5 77.500 (76.980) Epoch: [33][7900/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.1095 (2.0957) Prec@1 41.250 (46.458) Prec@5 78.750 (76.980) Epoch: [33][7910/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.3178 (2.0958) Prec@1 37.500 (46.456) Prec@5 73.750 (76.977) Epoch: [33][7920/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.7895 (2.0959) Prec@1 53.750 (46.454) Prec@5 84.375 (76.976) Epoch: [33][7930/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.0031 (2.0958) Prec@1 45.625 (46.453) Prec@5 75.625 (76.976) Epoch: [33][7940/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.2144 (2.0959) Prec@1 40.000 (46.450) Prec@5 78.750 (76.975) Epoch: [33][7950/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2084 (2.0959) Prec@1 45.625 (46.448) Prec@5 73.750 (76.976) Epoch: [33][7960/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.0963 (2.0958) Prec@1 45.625 (46.452) Prec@5 75.625 (76.977) Epoch: [33][7970/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.3034 (2.0958) Prec@1 41.875 (46.451) Prec@5 73.125 (76.976) Epoch: [33][7980/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 1.9006 (2.0958) Prec@1 49.375 (46.451) Prec@5 80.000 (76.978) Epoch: [33][7990/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.3698 (2.0958) Prec@1 41.875 (46.451) Prec@5 73.125 (76.978) Epoch: [33][8000/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2107 (2.0959) Prec@1 45.625 (46.450) Prec@5 76.250 (76.976) Epoch: [33][8010/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.0085 (2.0959) Prec@1 41.875 (46.449) Prec@5 76.875 (76.975) Epoch: [33][8020/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 1.9836 (2.0959) Prec@1 50.000 (46.449) Prec@5 77.500 (76.975) Epoch: [33][8030/11272] Time 0.767 (0.797) Data 0.001 (0.002) Loss 2.2081 (2.0958) Prec@1 43.125 (46.451) Prec@5 75.625 (76.975) Epoch: [33][8040/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.2409 (2.0958) Prec@1 41.250 (46.451) Prec@5 71.250 (76.975) Epoch: [33][8050/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.2691 (2.0958) Prec@1 43.125 (46.452) Prec@5 72.500 (76.976) Epoch: [33][8060/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.3124 (2.0958) Prec@1 41.250 (46.451) Prec@5 74.375 (76.973) Epoch: [33][8070/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1579 (2.0959) Prec@1 45.625 (46.451) Prec@5 73.750 (76.972) Epoch: [33][8080/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.2883 (2.0960) Prec@1 40.000 (46.449) Prec@5 73.750 (76.970) Epoch: [33][8090/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.8721 (2.0959) Prec@1 45.625 (46.449) Prec@5 81.250 (76.971) Epoch: [33][8100/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.9502 (2.0958) Prec@1 44.375 (46.450) Prec@5 80.625 (76.972) Epoch: [33][8110/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.1470 (2.0958) Prec@1 46.875 (46.454) Prec@5 75.625 (76.973) Epoch: [33][8120/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.0209 (2.0958) Prec@1 48.750 (46.454) Prec@5 83.125 (76.974) Epoch: [33][8130/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.3368 (2.0958) Prec@1 40.000 (46.452) Prec@5 75.625 (76.973) Epoch: [33][8140/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1930 (2.0959) Prec@1 45.000 (46.452) Prec@5 70.000 (76.971) Epoch: [33][8150/11272] Time 0.815 (0.797) Data 0.002 (0.002) Loss 2.0135 (2.0959) Prec@1 45.000 (46.452) Prec@5 80.625 (76.971) Epoch: [33][8160/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.1944 (2.0960) Prec@1 46.875 (46.451) Prec@5 77.500 (76.969) Epoch: [33][8170/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0408 (2.0960) Prec@1 49.375 (46.450) Prec@5 76.250 (76.967) Epoch: [33][8180/11272] Time 0.698 (0.797) Data 0.001 (0.002) Loss 2.1378 (2.0960) Prec@1 41.875 (46.450) Prec@5 76.250 (76.968) Epoch: [33][8190/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.0119 (2.0960) Prec@1 49.375 (46.449) Prec@5 81.250 (76.970) Epoch: [33][8200/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1119 (2.0960) Prec@1 48.125 (46.449) Prec@5 78.125 (76.970) Epoch: [33][8210/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.0400 (2.0959) Prec@1 49.375 (46.451) Prec@5 76.875 (76.971) Epoch: [33][8220/11272] Time 0.748 (0.797) Data 0.001 (0.002) Loss 2.0905 (2.0961) Prec@1 46.250 (46.448) Prec@5 78.125 (76.969) Epoch: [33][8230/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2862 (2.0961) Prec@1 42.500 (46.448) Prec@5 72.500 (76.968) Epoch: [33][8240/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0118 (2.0961) Prec@1 50.000 (46.449) Prec@5 76.250 (76.971) Epoch: [33][8250/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.9880 (2.0960) Prec@1 45.000 (46.450) Prec@5 78.125 (76.972) Epoch: [33][8260/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.0172 (2.0961) Prec@1 48.125 (46.449) Prec@5 78.750 (76.972) Epoch: [33][8270/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1410 (2.0960) Prec@1 45.625 (46.449) Prec@5 76.875 (76.973) Epoch: [33][8280/11272] Time 0.758 (0.797) Data 0.003 (0.002) Loss 2.3779 (2.0961) Prec@1 41.250 (46.446) Prec@5 75.000 (76.970) Epoch: [33][8290/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2501 (2.0962) Prec@1 39.375 (46.445) Prec@5 75.000 (76.970) Epoch: [33][8300/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0842 (2.0961) Prec@1 43.125 (46.443) Prec@5 76.875 (76.971) Epoch: [33][8310/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.1102 (2.0962) Prec@1 46.250 (46.442) Prec@5 74.375 (76.971) Epoch: [33][8320/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.0598 (2.0962) Prec@1 45.625 (46.443) Prec@5 78.125 (76.970) Epoch: [33][8330/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.1528 (2.0963) Prec@1 46.875 (46.440) Prec@5 78.750 (76.969) Epoch: [33][8340/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.1548 (2.0963) Prec@1 40.000 (46.439) Prec@5 74.375 (76.968) Epoch: [33][8350/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.2286 (2.0964) Prec@1 40.625 (46.439) Prec@5 76.875 (76.967) Epoch: [33][8360/11272] Time 0.783 (0.797) Data 0.002 (0.002) Loss 2.1792 (2.0964) Prec@1 45.000 (46.440) Prec@5 76.875 (76.966) Epoch: [33][8370/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.1961 (2.0964) Prec@1 48.125 (46.439) Prec@5 77.500 (76.966) Epoch: [33][8380/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 1.9351 (2.0965) Prec@1 48.750 (46.438) Prec@5 79.375 (76.966) Epoch: [33][8390/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.3494 (2.0964) Prec@1 38.750 (46.439) Prec@5 73.125 (76.967) Epoch: [33][8400/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.3151 (2.0964) Prec@1 35.000 (46.439) Prec@5 78.125 (76.968) Epoch: [33][8410/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 1.9419 (2.0964) Prec@1 49.375 (46.440) Prec@5 78.750 (76.968) Epoch: [33][8420/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.1066 (2.0964) Prec@1 51.250 (46.441) Prec@5 75.625 (76.968) Epoch: [33][8430/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.3426 (2.0964) Prec@1 40.625 (46.440) Prec@5 69.375 (76.968) Epoch: [33][8440/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.9190 (2.0964) Prec@1 45.000 (46.439) Prec@5 84.375 (76.968) Epoch: [33][8450/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.8736 (2.0964) Prec@1 53.750 (46.441) Prec@5 81.250 (76.969) Epoch: [33][8460/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.9855 (2.0965) Prec@1 50.000 (46.439) Prec@5 78.750 (76.967) Epoch: [33][8470/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 2.2143 (2.0965) Prec@1 46.250 (46.437) Prec@5 72.500 (76.965) Epoch: [33][8480/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2627 (2.0966) Prec@1 43.750 (46.435) Prec@5 71.875 (76.962) Epoch: [33][8490/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.1907 (2.0966) Prec@1 46.250 (46.436) Prec@5 76.250 (76.963) Epoch: [33][8500/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 1.9874 (2.0966) Prec@1 46.250 (46.437) Prec@5 83.125 (76.964) Epoch: [33][8510/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.3320 (2.0966) Prec@1 41.250 (46.437) Prec@5 76.250 (76.964) Epoch: [33][8520/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9631 (2.0965) Prec@1 51.250 (46.439) Prec@5 78.750 (76.965) Epoch: [33][8530/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.1556 (2.0966) Prec@1 49.375 (46.439) Prec@5 76.250 (76.965) Epoch: [33][8540/11272] Time 0.731 (0.797) Data 0.003 (0.002) Loss 2.1862 (2.0966) Prec@1 41.250 (46.437) Prec@5 76.875 (76.963) Epoch: [33][8550/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1660 (2.0966) Prec@1 45.625 (46.437) Prec@5 77.500 (76.963) Epoch: [33][8560/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.2193 (2.0966) Prec@1 43.750 (46.436) Prec@5 78.125 (76.964) Epoch: [33][8570/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.1122 (2.0966) Prec@1 43.125 (46.436) Prec@5 82.500 (76.966) Epoch: [33][8580/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.1885 (2.0967) Prec@1 45.000 (46.435) Prec@5 77.500 (76.964) Epoch: [33][8590/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.0804 (2.0967) Prec@1 44.375 (46.434) Prec@5 79.375 (76.965) Epoch: [33][8600/11272] Time 0.908 (0.797) Data 0.002 (0.002) Loss 2.0770 (2.0967) Prec@1 50.625 (46.435) Prec@5 77.500 (76.962) Epoch: [33][8610/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.4293 (2.0968) Prec@1 41.250 (46.434) Prec@5 65.625 (76.960) Epoch: [33][8620/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 1.9291 (2.0968) Prec@1 49.375 (46.434) Prec@5 82.500 (76.960) Epoch: [33][8630/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 1.9684 (2.0969) Prec@1 45.625 (46.432) Prec@5 78.750 (76.959) Epoch: [33][8640/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.8293 (2.0968) Prec@1 53.125 (46.433) Prec@5 80.000 (76.961) Epoch: [33][8650/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.4881 (2.0969) Prec@1 39.375 (46.430) Prec@5 71.875 (76.960) Epoch: [33][8660/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0293 (2.0970) Prec@1 42.500 (46.429) Prec@5 75.000 (76.959) Epoch: [33][8670/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.0579 (2.0970) Prec@1 48.750 (46.428) Prec@5 73.750 (76.958) Epoch: [33][8680/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0288 (2.0969) Prec@1 50.000 (46.429) Prec@5 76.875 (76.958) Epoch: [33][8690/11272] Time 0.776 (0.797) Data 0.001 (0.002) Loss 2.1120 (2.0970) Prec@1 47.500 (46.429) Prec@5 75.625 (76.957) Epoch: [33][8700/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9011 (2.0970) Prec@1 47.500 (46.428) Prec@5 80.000 (76.956) Epoch: [33][8710/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0149 (2.0969) Prec@1 50.000 (46.429) Prec@5 78.750 (76.956) Epoch: [33][8720/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0358 (2.0970) Prec@1 49.375 (46.428) Prec@5 75.625 (76.955) Epoch: [33][8730/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.1711 (2.0970) Prec@1 41.875 (46.429) Prec@5 73.125 (76.953) Epoch: [33][8740/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 2.1127 (2.0969) Prec@1 46.250 (46.427) Prec@5 76.875 (76.955) Epoch: [33][8750/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.2905 (2.0968) Prec@1 38.750 (46.429) Prec@5 73.125 (76.957) Epoch: [33][8760/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0241 (2.0969) Prec@1 46.875 (46.428) Prec@5 76.250 (76.957) Epoch: [33][8770/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.4050 (2.0969) Prec@1 40.000 (46.428) Prec@5 68.750 (76.958) Epoch: [33][8780/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 2.0197 (2.0969) Prec@1 48.125 (46.425) Prec@5 79.375 (76.957) Epoch: [33][8790/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1750 (2.0970) Prec@1 45.625 (46.422) Prec@5 71.875 (76.956) Epoch: [33][8800/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 2.0338 (2.0970) Prec@1 48.125 (46.421) Prec@5 82.500 (76.957) Epoch: [33][8810/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.8933 (2.0969) Prec@1 50.625 (46.422) Prec@5 78.125 (76.956) Epoch: [33][8820/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1833 (2.0970) Prec@1 43.750 (46.419) Prec@5 75.000 (76.955) Epoch: [33][8830/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9304 (2.0970) Prec@1 48.750 (46.418) Prec@5 79.375 (76.955) Epoch: [33][8840/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.2080 (2.0971) Prec@1 43.750 (46.415) Prec@5 75.000 (76.952) Epoch: [33][8850/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.8378 (2.0970) Prec@1 53.125 (46.417) Prec@5 80.000 (76.955) Epoch: [33][8860/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.2468 (2.0970) Prec@1 41.250 (46.416) Prec@5 71.875 (76.955) Epoch: [33][8870/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.1096 (2.0970) Prec@1 44.375 (46.416) Prec@5 76.250 (76.955) Epoch: [33][8880/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.3586 (2.0971) Prec@1 44.375 (46.416) Prec@5 73.125 (76.953) Epoch: [33][8890/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.1051 (2.0971) Prec@1 42.500 (46.415) Prec@5 75.625 (76.952) Epoch: [33][8900/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 1.9474 (2.0971) Prec@1 52.500 (46.416) Prec@5 78.125 (76.951) Epoch: [33][8910/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0883 (2.0971) Prec@1 46.875 (46.416) Prec@5 77.500 (76.951) Epoch: [33][8920/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 1.9754 (2.0970) Prec@1 48.125 (46.416) Prec@5 78.750 (76.951) Epoch: [33][8930/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.2252 (2.0971) Prec@1 43.750 (46.415) Prec@5 73.750 (76.948) Epoch: [33][8940/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.1043 (2.0971) Prec@1 45.625 (46.415) Prec@5 78.125 (76.948) Epoch: [33][8950/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 1.9286 (2.0971) Prec@1 49.375 (46.415) Prec@5 75.625 (76.946) Epoch: [33][8960/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9858 (2.0971) Prec@1 43.750 (46.414) Prec@5 78.750 (76.947) Epoch: [33][8970/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.9567 (2.0971) Prec@1 46.875 (46.412) Prec@5 78.750 (76.946) Epoch: [33][8980/11272] Time 0.865 (0.797) Data 0.001 (0.002) Loss 2.2589 (2.0972) Prec@1 45.000 (46.410) Prec@5 74.375 (76.944) Epoch: [33][8990/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.2559 (2.0973) Prec@1 43.125 (46.408) Prec@5 73.125 (76.942) Epoch: [33][9000/11272] Time 0.791 (0.797) Data 0.002 (0.002) Loss 2.0688 (2.0973) Prec@1 46.875 (46.410) Prec@5 76.250 (76.942) Epoch: [33][9010/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.0317 (2.0973) Prec@1 48.750 (46.409) Prec@5 81.250 (76.943) Epoch: [33][9020/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1898 (2.0973) Prec@1 47.500 (46.411) Prec@5 73.750 (76.944) Epoch: [33][9030/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.1940 (2.0973) Prec@1 41.250 (46.408) Prec@5 76.875 (76.943) Epoch: [33][9040/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.0653 (2.0973) Prec@1 45.625 (46.408) Prec@5 76.875 (76.943) Epoch: [33][9050/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2425 (2.0974) Prec@1 40.000 (46.407) Prec@5 74.375 (76.943) Epoch: [33][9060/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.9865 (2.0974) Prec@1 48.125 (46.405) Prec@5 76.250 (76.941) Epoch: [33][9070/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.2604 (2.0974) Prec@1 41.875 (46.405) Prec@5 75.000 (76.942) Epoch: [33][9080/11272] Time 0.862 (0.797) Data 0.003 (0.002) Loss 2.1471 (2.0973) Prec@1 46.875 (46.408) Prec@5 76.875 (76.941) Epoch: [33][9090/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 1.7785 (2.0973) Prec@1 51.875 (46.409) Prec@5 82.500 (76.943) Epoch: [33][9100/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.3060 (2.0973) Prec@1 45.000 (46.410) Prec@5 74.375 (76.944) Epoch: [33][9110/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.0828 (2.0973) Prec@1 48.125 (46.409) Prec@5 75.625 (76.945) Epoch: [33][9120/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0852 (2.0973) Prec@1 49.375 (46.411) Prec@5 78.125 (76.944) Epoch: [33][9130/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 2.0599 (2.0973) Prec@1 45.000 (46.411) Prec@5 76.250 (76.945) Epoch: [33][9140/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.2651 (2.0974) Prec@1 46.250 (46.407) Prec@5 72.500 (76.944) Epoch: [33][9150/11272] Time 0.775 (0.797) Data 0.002 (0.002) Loss 2.1015 (2.0975) Prec@1 46.875 (46.406) Prec@5 80.000 (76.944) Epoch: [33][9160/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.5044 (2.0975) Prec@1 38.125 (46.404) Prec@5 71.250 (76.944) Epoch: [33][9170/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 2.2772 (2.0976) Prec@1 46.250 (46.403) Prec@5 71.875 (76.942) Epoch: [33][9180/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.0499 (2.0976) Prec@1 46.875 (46.404) Prec@5 78.125 (76.942) Epoch: [33][9190/11272] Time 0.717 (0.797) Data 0.001 (0.002) Loss 2.1298 (2.0976) Prec@1 41.250 (46.405) Prec@5 75.000 (76.942) Epoch: [33][9200/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.7465 (2.0977) Prec@1 52.500 (46.404) Prec@5 81.250 (76.940) Epoch: [33][9210/11272] Time 0.753 (0.797) Data 0.003 (0.002) Loss 2.0703 (2.0977) Prec@1 48.125 (46.404) Prec@5 73.750 (76.939) Epoch: [33][9220/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.7897 (2.0977) Prec@1 53.125 (46.403) Prec@5 79.375 (76.940) Epoch: [33][9230/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 1.9149 (2.0977) Prec@1 47.500 (46.403) Prec@5 82.500 (76.940) Epoch: [33][9240/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0751 (2.0978) Prec@1 44.375 (46.401) Prec@5 75.000 (76.936) Epoch: [33][9250/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1529 (2.0978) Prec@1 46.250 (46.401) Prec@5 73.750 (76.937) Epoch: [33][9260/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0571 (2.0978) Prec@1 46.250 (46.398) Prec@5 76.875 (76.937) Epoch: [33][9270/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.1903 (2.0978) Prec@1 41.875 (46.398) Prec@5 76.250 (76.938) Epoch: [33][9280/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.2684 (2.0978) Prec@1 43.750 (46.396) Prec@5 69.375 (76.937) Epoch: [33][9290/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1730 (2.0979) Prec@1 43.750 (46.394) Prec@5 72.500 (76.935) Epoch: [33][9300/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.0387 (2.0980) Prec@1 48.750 (46.394) Prec@5 78.125 (76.934) Epoch: [33][9310/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 1.9748 (2.0979) Prec@1 57.500 (46.396) Prec@5 78.750 (76.936) Epoch: [33][9320/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.1059 (2.0980) Prec@1 49.375 (46.397) Prec@5 71.875 (76.933) Epoch: [33][9330/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 1.9130 (2.0979) Prec@1 46.875 (46.398) Prec@5 80.000 (76.933) Epoch: [33][9340/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 1.9236 (2.0979) Prec@1 51.875 (46.398) Prec@5 81.250 (76.933) Epoch: [33][9350/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1962 (2.0980) Prec@1 48.125 (46.398) Prec@5 75.625 (76.932) Epoch: [33][9360/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.3908 (2.0981) Prec@1 36.875 (46.397) Prec@5 72.500 (76.931) Epoch: [33][9370/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0205 (2.0981) Prec@1 47.500 (46.395) Prec@5 77.500 (76.930) Epoch: [33][9380/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9949 (2.0982) Prec@1 45.625 (46.393) Prec@5 78.125 (76.929) Epoch: [33][9390/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.3228 (2.0982) Prec@1 37.500 (46.391) Prec@5 73.750 (76.929) Epoch: [33][9400/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.5309 (2.0983) Prec@1 36.875 (46.389) Prec@5 68.750 (76.927) Epoch: [33][9410/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9053 (2.0983) Prec@1 53.125 (46.390) Prec@5 78.750 (76.927) Epoch: [33][9420/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1766 (2.0982) Prec@1 46.250 (46.394) Prec@5 75.625 (76.927) Epoch: [33][9430/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.0353 (2.0982) Prec@1 50.000 (46.393) Prec@5 74.375 (76.927) Epoch: [33][9440/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 2.0519 (2.0983) Prec@1 45.625 (46.394) Prec@5 78.750 (76.926) Epoch: [33][9450/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.9381 (2.0983) Prec@1 52.500 (46.394) Prec@5 75.000 (76.926) Epoch: [33][9460/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.9086 (2.0983) Prec@1 49.375 (46.394) Prec@5 78.125 (76.925) Epoch: [33][9470/11272] Time 0.734 (0.797) Data 0.003 (0.002) Loss 2.2110 (2.0984) Prec@1 45.625 (46.391) Prec@5 76.875 (76.923) Epoch: [33][9480/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 1.9709 (2.0983) Prec@1 50.625 (46.393) Prec@5 78.125 (76.925) Epoch: [33][9490/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2294 (2.0983) Prec@1 41.875 (46.392) Prec@5 75.625 (76.924) Epoch: [33][9500/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.1701 (2.0982) Prec@1 45.000 (46.395) Prec@5 76.250 (76.924) Epoch: [33][9510/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1173 (2.0982) Prec@1 40.000 (46.393) Prec@5 76.875 (76.924) Epoch: [33][9520/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1597 (2.0984) Prec@1 41.875 (46.393) Prec@5 78.125 (76.922) Epoch: [33][9530/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 2.0226 (2.0984) Prec@1 47.500 (46.392) Prec@5 78.750 (76.921) Epoch: [33][9540/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.8627 (2.0984) Prec@1 53.750 (46.390) Prec@5 79.375 (76.921) Epoch: [33][9550/11272] Time 0.709 (0.797) Data 0.001 (0.002) Loss 2.2977 (2.0984) Prec@1 45.000 (46.390) Prec@5 69.375 (76.921) Epoch: [33][9560/11272] Time 0.759 (0.797) Data 0.001 (0.002) Loss 2.0353 (2.0984) Prec@1 43.750 (46.390) Prec@5 75.625 (76.921) Epoch: [33][9570/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.9669 (2.0983) Prec@1 50.625 (46.391) Prec@5 79.375 (76.920) Epoch: [33][9580/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1648 (2.0983) Prec@1 50.000 (46.393) Prec@5 78.125 (76.921) Epoch: [33][9590/11272] Time 0.778 (0.797) Data 0.002 (0.002) Loss 1.9669 (2.0983) Prec@1 48.125 (46.392) Prec@5 81.250 (76.920) Epoch: [33][9600/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.7507 (2.0982) Prec@1 55.000 (46.396) Prec@5 83.125 (76.922) Epoch: [33][9610/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.2212 (2.0982) Prec@1 48.125 (46.395) Prec@5 73.125 (76.921) Epoch: [33][9620/11272] Time 0.774 (0.797) Data 0.002 (0.002) Loss 2.2283 (2.0982) Prec@1 39.375 (46.393) Prec@5 75.000 (76.921) Epoch: [33][9630/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.2919 (2.0982) Prec@1 41.875 (46.392) Prec@5 71.875 (76.920) Epoch: [33][9640/11272] Time 0.943 (0.797) Data 0.002 (0.002) Loss 2.1312 (2.0982) Prec@1 43.125 (46.392) Prec@5 74.375 (76.920) Epoch: [33][9650/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0732 (2.0982) Prec@1 43.750 (46.391) Prec@5 78.750 (76.919) Epoch: [33][9660/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 2.2594 (2.0983) Prec@1 37.500 (46.390) Prec@5 71.250 (76.917) Epoch: [33][9670/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 1.9671 (2.0982) Prec@1 43.125 (46.390) Prec@5 82.500 (76.919) Epoch: [33][9680/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 2.0921 (2.0983) Prec@1 43.750 (46.388) Prec@5 80.625 (76.919) Epoch: [33][9690/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1385 (2.0983) Prec@1 48.125 (46.388) Prec@5 74.375 (76.918) Epoch: [33][9700/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.0144 (2.0983) Prec@1 44.375 (46.387) Prec@5 80.625 (76.919) Epoch: [33][9710/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0300 (2.0982) Prec@1 50.625 (46.388) Prec@5 81.875 (76.920) Epoch: [33][9720/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1380 (2.0981) Prec@1 47.500 (46.389) Prec@5 76.250 (76.920) Epoch: [33][9730/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.2317 (2.0982) Prec@1 41.875 (46.389) Prec@5 71.875 (76.919) Epoch: [33][9740/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9469 (2.0981) Prec@1 53.125 (46.391) Prec@5 81.250 (76.920) Epoch: [33][9750/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1167 (2.0982) Prec@1 48.125 (46.388) Prec@5 76.250 (76.918) Epoch: [33][9760/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1243 (2.0983) Prec@1 45.625 (46.388) Prec@5 76.250 (76.917) Epoch: [33][9770/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.0374 (2.0984) Prec@1 50.000 (46.387) Prec@5 77.500 (76.917) Epoch: [33][9780/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.9924 (2.0984) Prec@1 50.000 (46.387) Prec@5 77.500 (76.916) Epoch: [33][9790/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.0856 (2.0984) Prec@1 48.750 (46.386) Prec@5 78.125 (76.915) Epoch: [33][9800/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.1259 (2.0984) Prec@1 46.250 (46.385) Prec@5 71.250 (76.914) Epoch: [33][9810/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.3158 (2.0985) Prec@1 43.125 (46.384) Prec@5 74.375 (76.913) Epoch: [33][9820/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.0072 (2.0985) Prec@1 51.250 (46.383) Prec@5 80.000 (76.913) Epoch: [33][9830/11272] Time 0.898 (0.797) Data 0.002 (0.002) Loss 1.9219 (2.0985) Prec@1 48.750 (46.382) Prec@5 82.500 (76.914) Epoch: [33][9840/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.0088 (2.0985) Prec@1 48.750 (46.382) Prec@5 74.375 (76.912) Epoch: [33][9850/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0957 (2.0985) Prec@1 48.125 (46.380) Prec@5 77.500 (76.912) Epoch: [33][9860/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.3545 (2.0985) Prec@1 40.000 (46.379) Prec@5 71.875 (76.912) Epoch: [33][9870/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.0443 (2.0986) Prec@1 47.500 (46.377) Prec@5 81.250 (76.910) Epoch: [33][9880/11272] Time 0.754 (0.797) Data 0.001 (0.002) Loss 2.2394 (2.0987) Prec@1 45.000 (46.376) Prec@5 75.625 (76.909) Epoch: [33][9890/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.2796 (2.0987) Prec@1 44.375 (46.374) Prec@5 72.500 (76.909) Epoch: [33][9900/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2901 (2.0987) Prec@1 41.875 (46.374) Prec@5 73.750 (76.909) Epoch: [33][9910/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.2959 (2.0988) Prec@1 39.375 (46.372) Prec@5 73.750 (76.907) Epoch: [33][9920/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.0598 (2.0988) Prec@1 43.750 (46.373) Prec@5 78.750 (76.907) Epoch: [33][9930/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 1.9997 (2.0988) Prec@1 47.500 (46.373) Prec@5 76.875 (76.907) Epoch: [33][9940/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.1524 (2.0987) Prec@1 46.250 (46.375) Prec@5 75.625 (76.909) Epoch: [33][9950/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 2.2772 (2.0988) Prec@1 43.125 (46.373) Prec@5 72.500 (76.906) Epoch: [33][9960/11272] Time 0.796 (0.797) Data 0.001 (0.002) Loss 2.0306 (2.0988) Prec@1 50.000 (46.373) Prec@5 78.750 (76.905) Epoch: [33][9970/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.2435 (2.0988) Prec@1 42.500 (46.373) Prec@5 73.750 (76.906) Epoch: [33][9980/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.0114 (2.0989) Prec@1 50.000 (46.371) Prec@5 76.250 (76.905) Epoch: [33][9990/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.4373 (2.0989) Prec@1 35.000 (46.371) Prec@5 67.500 (76.906) Epoch: [33][10000/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3488 (2.0989) Prec@1 45.625 (46.370) Prec@5 71.875 (76.906) Epoch: [33][10010/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 2.1096 (2.0989) Prec@1 41.875 (46.369) Prec@5 75.000 (76.905) Epoch: [33][10020/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.3940 (2.0990) Prec@1 41.875 (46.368) Prec@5 71.875 (76.904) Epoch: [33][10030/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1340 (2.0991) Prec@1 51.250 (46.368) Prec@5 75.000 (76.901) Epoch: [33][10040/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.0951 (2.0991) Prec@1 48.125 (46.367) Prec@5 75.625 (76.901) Epoch: [33][10050/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.2511 (2.0991) Prec@1 42.500 (46.365) Prec@5 73.750 (76.900) Epoch: [33][10060/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0939 (2.0992) Prec@1 45.625 (46.364) Prec@5 80.000 (76.901) Epoch: [33][10070/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0737 (2.0992) Prec@1 43.750 (46.362) Prec@5 80.000 (76.901) Epoch: [33][10080/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 1.9391 (2.0992) Prec@1 50.625 (46.361) Prec@5 81.875 (76.900) Epoch: [33][10090/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 1.8743 (2.0992) Prec@1 47.500 (46.362) Prec@5 82.500 (76.901) Epoch: [33][10100/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 1.9660 (2.0991) Prec@1 45.000 (46.362) Prec@5 76.250 (76.902) Epoch: [33][10110/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0372 (2.0992) Prec@1 48.125 (46.362) Prec@5 78.750 (76.902) Epoch: [33][10120/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.1233 (2.0992) Prec@1 46.875 (46.361) Prec@5 79.375 (76.900) Epoch: [33][10130/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.2124 (2.0992) Prec@1 40.625 (46.361) Prec@5 73.125 (76.899) Epoch: [33][10140/11272] Time 0.755 (0.797) Data 0.004 (0.002) Loss 1.9801 (2.0992) Prec@1 50.625 (46.360) Prec@5 75.625 (76.899) Epoch: [33][10150/11272] Time 0.775 (0.797) Data 0.002 (0.002) Loss 2.3034 (2.0993) Prec@1 43.125 (46.358) Prec@5 76.250 (76.898) Epoch: [33][10160/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.2374 (2.0993) Prec@1 43.750 (46.359) Prec@5 73.750 (76.898) Epoch: [33][10170/11272] Time 0.839 (0.797) Data 0.003 (0.002) Loss 2.0865 (2.0993) Prec@1 46.875 (46.357) Prec@5 78.125 (76.899) Epoch: [33][10180/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.2629 (2.0993) Prec@1 43.125 (46.356) Prec@5 73.750 (76.898) Epoch: [33][10190/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.9562 (2.0993) Prec@1 49.375 (46.357) Prec@5 76.250 (76.897) Epoch: [33][10200/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 1.9664 (2.0994) Prec@1 48.750 (46.356) Prec@5 78.125 (76.895) Epoch: [33][10210/11272] Time 0.931 (0.797) Data 0.002 (0.002) Loss 2.4035 (2.0994) Prec@1 40.000 (46.354) Prec@5 72.500 (76.895) Epoch: [33][10220/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.3201 (2.0995) Prec@1 38.750 (46.354) Prec@5 73.125 (76.894) Epoch: [33][10230/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.0937 (2.0995) Prec@1 53.750 (46.354) Prec@5 78.125 (76.894) Epoch: [33][10240/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9512 (2.0995) Prec@1 51.250 (46.355) Prec@5 83.125 (76.894) Epoch: [33][10250/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1710 (2.0995) Prec@1 43.125 (46.357) Prec@5 76.875 (76.894) Epoch: [33][10260/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.9029 (2.0994) Prec@1 48.125 (46.357) Prec@5 81.250 (76.895) Epoch: [33][10270/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 2.0633 (2.0994) Prec@1 46.250 (46.357) Prec@5 78.125 (76.895) Epoch: [33][10280/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.9125 (2.0994) Prec@1 46.875 (46.355) Prec@5 80.000 (76.894) Epoch: [33][10290/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 1.9021 (2.0994) Prec@1 54.375 (46.357) Prec@5 80.000 (76.895) Epoch: [33][10300/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.3757 (2.0994) Prec@1 42.500 (46.356) Prec@5 68.750 (76.895) Epoch: [33][10310/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.1126 (2.0994) Prec@1 47.500 (46.356) Prec@5 75.000 (76.894) Epoch: [33][10320/11272] Time 0.874 (0.797) Data 0.001 (0.002) Loss 1.8528 (2.0994) Prec@1 52.500 (46.357) Prec@5 81.250 (76.894) Epoch: [33][10330/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.2490 (2.0995) Prec@1 45.000 (46.356) Prec@5 75.000 (76.894) Epoch: [33][10340/11272] Time 0.791 (0.797) Data 0.002 (0.002) Loss 2.1614 (2.0994) Prec@1 45.625 (46.358) Prec@5 76.875 (76.894) Epoch: [33][10350/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1535 (2.0994) Prec@1 42.500 (46.359) Prec@5 76.875 (76.895) Epoch: [33][10360/11272] Time 0.851 (0.797) Data 0.003 (0.002) Loss 2.2437 (2.0994) Prec@1 42.500 (46.357) Prec@5 78.125 (76.893) Epoch: [33][10370/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 1.8490 (2.0994) Prec@1 46.875 (46.358) Prec@5 79.375 (76.895) Epoch: [33][10380/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.2512 (2.0994) Prec@1 42.500 (46.358) Prec@5 74.375 (76.895) Epoch: [33][10390/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.2371 (2.0994) Prec@1 44.375 (46.356) Prec@5 74.375 (76.895) Epoch: [33][10400/11272] Time 0.723 (0.797) Data 0.003 (0.002) Loss 2.0151 (2.0993) Prec@1 49.375 (46.359) Prec@5 79.375 (76.898) Epoch: [33][10410/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 2.2069 (2.0994) Prec@1 45.625 (46.359) Prec@5 78.125 (76.897) Epoch: [33][10420/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 1.9452 (2.0994) Prec@1 48.750 (46.359) Prec@5 76.250 (76.896) Epoch: [33][10430/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 2.0222 (2.0994) Prec@1 43.125 (46.358) Prec@5 78.750 (76.896) Epoch: [33][10440/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9769 (2.0993) Prec@1 48.750 (46.361) Prec@5 79.375 (76.897) Epoch: [33][10450/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.1576 (2.0993) Prec@1 45.625 (46.361) Prec@5 76.875 (76.898) Epoch: [33][10460/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0366 (2.0994) Prec@1 51.875 (46.360) Prec@5 77.500 (76.897) Epoch: [33][10470/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 2.2923 (2.0994) Prec@1 42.500 (46.360) Prec@5 74.375 (76.897) Epoch: [33][10480/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.1757 (2.0994) Prec@1 45.625 (46.359) Prec@5 75.625 (76.896) Epoch: [33][10490/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3377 (2.0994) Prec@1 43.125 (46.360) Prec@5 70.625 (76.897) Epoch: [33][10500/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.1899 (2.0994) Prec@1 42.500 (46.360) Prec@5 72.500 (76.894) Epoch: [33][10510/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.0535 (2.0994) Prec@1 46.250 (46.359) Prec@5 80.000 (76.893) Epoch: [33][10520/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.1140 (2.0995) Prec@1 50.625 (46.358) Prec@5 76.875 (76.891) Epoch: [33][10530/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.2315 (2.0995) Prec@1 45.625 (46.358) Prec@5 69.375 (76.891) Epoch: [33][10540/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 2.0765 (2.0995) Prec@1 48.125 (46.358) Prec@5 76.250 (76.891) Epoch: [33][10550/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.3700 (2.0996) Prec@1 41.250 (46.356) Prec@5 71.250 (76.890) Epoch: [33][10560/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.3582 (2.0996) Prec@1 38.750 (46.354) Prec@5 71.250 (76.888) Epoch: [33][10570/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 1.9245 (2.0996) Prec@1 50.000 (46.355) Prec@5 80.625 (76.889) Epoch: [33][10580/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2098 (2.0996) Prec@1 41.250 (46.355) Prec@5 76.250 (76.889) Epoch: [33][10590/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.9318 (2.0997) Prec@1 51.875 (46.355) Prec@5 78.750 (76.887) Epoch: [33][10600/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1781 (2.0996) Prec@1 43.750 (46.356) Prec@5 71.250 (76.887) Epoch: [33][10610/11272] Time 0.848 (0.797) Data 0.003 (0.002) Loss 1.9353 (2.0997) Prec@1 50.000 (46.355) Prec@5 80.000 (76.887) Epoch: [33][10620/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 2.2535 (2.0997) Prec@1 41.875 (46.355) Prec@5 75.625 (76.886) Epoch: [33][10630/11272] Time 0.712 (0.797) Data 0.001 (0.002) Loss 2.3774 (2.0997) Prec@1 34.375 (46.353) Prec@5 71.250 (76.885) Epoch: [33][10640/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.0542 (2.0998) Prec@1 51.250 (46.354) Prec@5 75.000 (76.884) Epoch: [33][10650/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.1748 (2.0998) Prec@1 46.250 (46.356) Prec@5 76.875 (76.884) Epoch: [33][10660/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.9372 (2.0997) Prec@1 48.125 (46.357) Prec@5 81.250 (76.886) Epoch: [33][10670/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1840 (2.0998) Prec@1 47.500 (46.357) Prec@5 76.875 (76.885) Epoch: [33][10680/11272] Time 0.927 (0.797) Data 0.002 (0.002) Loss 2.0632 (2.0998) Prec@1 45.000 (46.357) Prec@5 78.125 (76.885) Epoch: [33][10690/11272] Time 0.923 (0.797) Data 0.002 (0.002) Loss 1.7200 (2.0997) Prec@1 50.000 (46.358) Prec@5 85.625 (76.886) Epoch: [33][10700/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.2433 (2.0998) Prec@1 45.625 (46.355) Prec@5 76.250 (76.887) Epoch: [33][10710/11272] Time 0.707 (0.797) Data 0.001 (0.002) Loss 2.2150 (2.0999) Prec@1 45.625 (46.353) Prec@5 75.625 (76.885) Epoch: [33][10720/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.9626 (2.0998) Prec@1 44.375 (46.353) Prec@5 78.750 (76.885) Epoch: [33][10730/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1451 (2.0998) Prec@1 48.750 (46.353) Prec@5 78.125 (76.887) Epoch: [33][10740/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9158 (2.0997) Prec@1 50.000 (46.354) Prec@5 79.375 (76.888) Epoch: [33][10750/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.1872 (2.0997) Prec@1 44.375 (46.354) Prec@5 67.500 (76.887) Epoch: [33][10760/11272] Time 0.847 (0.797) Data 0.003 (0.002) Loss 2.2432 (2.0998) Prec@1 46.875 (46.353) Prec@5 70.625 (76.887) Epoch: [33][10770/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 1.9052 (2.0998) Prec@1 48.750 (46.353) Prec@5 82.500 (76.886) Epoch: [33][10780/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.9586 (2.0998) Prec@1 53.125 (46.351) Prec@5 81.875 (76.886) Epoch: [33][10790/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 1.8913 (2.0999) Prec@1 50.625 (46.351) Prec@5 80.625 (76.886) Epoch: [33][10800/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1719 (2.0998) Prec@1 43.125 (46.352) Prec@5 73.750 (76.886) Epoch: [33][10810/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 1.9280 (2.0998) Prec@1 50.625 (46.353) Prec@5 79.375 (76.888) Epoch: [33][10820/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1821 (2.0997) Prec@1 45.625 (46.354) Prec@5 76.875 (76.888) Epoch: [33][10830/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0638 (2.0998) Prec@1 47.500 (46.354) Prec@5 76.875 (76.888) Epoch: [33][10840/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 2.2267 (2.0997) Prec@1 46.250 (46.354) Prec@5 77.500 (76.888) Epoch: [33][10850/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1065 (2.0996) Prec@1 48.750 (46.356) Prec@5 76.250 (76.890) Epoch: [33][10860/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.3107 (2.0996) Prec@1 48.125 (46.356) Prec@5 70.000 (76.891) Epoch: [33][10870/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.2629 (2.0996) Prec@1 42.500 (46.355) Prec@5 70.000 (76.891) Epoch: [33][10880/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.8270 (2.0996) Prec@1 53.750 (46.355) Prec@5 83.750 (76.891) Epoch: [33][10890/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.1087 (2.0996) Prec@1 47.500 (46.355) Prec@5 74.375 (76.891) Epoch: [33][10900/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0813 (2.0995) Prec@1 46.875 (46.357) Prec@5 78.125 (76.893) Epoch: [33][10910/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.9183 (2.0996) Prec@1 47.500 (46.358) Prec@5 78.750 (76.891) Epoch: [33][10920/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.3811 (2.0996) Prec@1 39.375 (46.357) Prec@5 71.250 (76.890) Epoch: [33][10930/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.1692 (2.0996) Prec@1 43.750 (46.357) Prec@5 75.000 (76.891) Epoch: [33][10940/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.2563 (2.0996) Prec@1 40.625 (46.356) Prec@5 75.000 (76.891) Epoch: [33][10950/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.2744 (2.0997) Prec@1 38.750 (46.356) Prec@5 73.125 (76.891) Epoch: [33][10960/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0356 (2.0996) Prec@1 43.750 (46.356) Prec@5 78.750 (76.892) Epoch: [33][10970/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 1.5917 (2.0996) Prec@1 55.000 (46.356) Prec@5 87.500 (76.893) Epoch: [33][10980/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.1412 (2.0996) Prec@1 49.375 (46.355) Prec@5 75.000 (76.894) Epoch: [33][10990/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.9484 (2.0997) Prec@1 51.875 (46.354) Prec@5 81.875 (76.892) Epoch: [33][11000/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.3729 (2.0997) Prec@1 43.750 (46.354) Prec@5 71.875 (76.892) Epoch: [33][11010/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2932 (2.0998) Prec@1 45.000 (46.353) Prec@5 71.250 (76.891) Epoch: [33][11020/11272] Time 0.813 (0.797) Data 0.002 (0.002) Loss 2.0208 (2.0998) Prec@1 48.125 (46.353) Prec@5 78.750 (76.891) Epoch: [33][11030/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.1162 (2.0998) Prec@1 45.000 (46.353) Prec@5 78.125 (76.892) Epoch: [33][11040/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.7701 (2.0998) Prec@1 56.875 (46.354) Prec@5 78.750 (76.891) Epoch: [33][11050/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.0165 (2.0998) Prec@1 49.375 (46.354) Prec@5 78.125 (76.891) Epoch: [33][11060/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.2268 (2.0999) Prec@1 47.500 (46.351) Prec@5 77.500 (76.890) Epoch: [33][11070/11272] Time 0.731 (0.797) Data 0.003 (0.002) Loss 1.9631 (2.0998) Prec@1 50.625 (46.353) Prec@5 80.000 (76.892) Epoch: [33][11080/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 1.9295 (2.0998) Prec@1 50.000 (46.354) Prec@5 78.125 (76.891) Epoch: [33][11090/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0282 (2.0998) Prec@1 53.750 (46.353) Prec@5 76.875 (76.891) Epoch: [33][11100/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.2047 (2.0998) Prec@1 47.500 (46.354) Prec@5 73.125 (76.891) Epoch: [33][11110/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.0022 (2.0999) Prec@1 48.750 (46.353) Prec@5 78.750 (76.891) Epoch: [33][11120/11272] Time 0.781 (0.797) Data 0.002 (0.002) Loss 2.3893 (2.0998) Prec@1 33.750 (46.354) Prec@5 73.125 (76.892) Epoch: [33][11130/11272] Time 0.898 (0.797) Data 0.001 (0.002) Loss 1.9164 (2.0998) Prec@1 50.625 (46.354) Prec@5 81.875 (76.892) Epoch: [33][11140/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.2942 (2.0998) Prec@1 40.625 (46.353) Prec@5 79.375 (76.892) Epoch: [33][11150/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1469 (2.0997) Prec@1 47.500 (46.354) Prec@5 75.000 (76.895) Epoch: [33][11160/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9762 (2.0997) Prec@1 50.000 (46.353) Prec@5 75.625 (76.893) Epoch: [33][11170/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 1.9828 (2.0997) Prec@1 46.875 (46.354) Prec@5 75.000 (76.893) Epoch: [33][11180/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.7938 (2.0996) Prec@1 53.750 (46.357) Prec@5 81.875 (76.894) Epoch: [33][11190/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.0696 (2.0997) Prec@1 46.250 (46.358) Prec@5 80.000 (76.893) Epoch: [33][11200/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0779 (2.0997) Prec@1 50.625 (46.359) Prec@5 78.125 (76.894) Epoch: [33][11210/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0067 (2.0997) Prec@1 44.375 (46.357) Prec@5 78.750 (76.892) Epoch: [33][11220/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.0799 (2.0997) Prec@1 45.000 (46.356) Prec@5 77.500 (76.892) Epoch: [33][11230/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0313 (2.0998) Prec@1 45.625 (46.356) Prec@5 76.250 (76.890) Epoch: [33][11240/11272] Time 0.877 (0.797) Data 0.005 (0.002) Loss 2.2753 (2.0998) Prec@1 43.125 (46.354) Prec@5 73.750 (76.889) Epoch: [33][11250/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.0728 (2.0999) Prec@1 45.000 (46.352) Prec@5 79.375 (76.888) Epoch: [33][11260/11272] Time 0.744 (0.797) Data 0.003 (0.002) Loss 1.9098 (2.0999) Prec@1 46.250 (46.353) Prec@5 78.750 (76.888) Epoch: [33][11270/11272] Time 0.729 (0.797) Data 0.000 (0.002) Loss 2.2558 (2.0999) Prec@1 43.125 (46.353) Prec@5 73.125 (76.887) Test: [0/229] Time 1.678 (1.678) Loss 1.1649 (1.1649) Prec@1 63.750 (63.750) Prec@5 95.625 (95.625) Test: [10/229] Time 0.347 (0.512) Loss 1.1571 (1.7408) Prec@1 65.625 (53.750) Prec@5 95.625 (85.966) Test: [20/229] Time 0.458 (0.449) Loss 2.0158 (1.8058) Prec@1 48.750 (51.310) Prec@5 80.000 (84.464) Test: [30/229] Time 0.378 (0.433) Loss 2.1026 (1.7145) Prec@1 41.875 (53.710) Prec@5 78.750 (85.423) Test: [40/229] Time 0.426 (0.425) Loss 0.4738 (1.7107) Prec@1 90.625 (53.918) Prec@5 95.000 (85.122) Test: [50/229] Time 0.328 (0.417) Loss 2.8144 (1.7769) Prec@1 26.875 (53.002) Prec@5 67.500 (83.284) Test: [60/229] Time 0.418 (0.413) Loss 1.9425 (1.7588) Prec@1 41.875 (53.156) Prec@5 85.000 (83.514) Test: [70/229] Time 0.377 (0.409) Loss 1.2298 (1.7650) Prec@1 70.000 (53.090) Prec@5 89.375 (83.600) Test: [80/229] Time 0.367 (0.407) Loss 2.4028 (1.7895) Prec@1 31.250 (52.299) Prec@5 76.250 (83.426) Test: [90/229] Time 0.468 (0.407) Loss 1.1186 (1.7901) Prec@1 73.750 (52.184) Prec@5 88.750 (83.551) Test: [100/229] Time 0.344 (0.404) Loss 2.3184 (1.7797) Prec@1 46.250 (52.797) Prec@5 76.875 (83.682) Test: [110/229] Time 0.410 (0.402) Loss 1.1866 (1.7580) Prec@1 70.000 (53.238) Prec@5 88.125 (83.981) Test: [120/229] Time 0.339 (0.401) Loss 2.7128 (1.7762) Prec@1 33.125 (52.774) Prec@5 73.750 (83.771) Test: [130/229] Time 0.397 (0.400) Loss 1.4433 (1.7704) Prec@1 60.625 (52.929) Prec@5 88.750 (83.807) Test: [140/229] Time 0.471 (0.400) Loss 1.8465 (1.7857) Prec@1 46.250 (52.509) Prec@5 81.875 (83.573) Test: [150/229] Time 0.348 (0.399) Loss 1.1496 (1.7984) Prec@1 74.375 (52.256) Prec@5 87.500 (83.502) Test: [160/229] Time 0.390 (0.398) Loss 1.9687 (1.8015) Prec@1 55.000 (52.178) Prec@5 83.750 (83.502) Test: [170/229] Time 0.308 (0.397) Loss 1.8027 (1.8163) Prec@1 49.375 (51.667) Prec@5 84.375 (83.293) Test: [180/229] Time 0.437 (0.398) Loss 2.4236 (1.8223) Prec@1 31.250 (51.581) Prec@5 71.875 (83.115) Test: [190/229] Time 0.328 (0.396) Loss 1.3536 (1.8137) Prec@1 62.500 (51.872) Prec@5 90.625 (83.171) Test: [200/229] Time 0.340 (0.397) Loss 2.0444 (1.8073) Prec@1 40.625 (51.919) Prec@5 77.500 (83.358) Test: [210/229] Time 0.424 (0.397) Loss 1.2026 (1.7921) Prec@1 61.875 (52.281) Prec@5 93.750 (83.611) Test: [220/229] Time 0.363 (0.397) Loss 1.6774 (1.7826) Prec@1 52.500 (52.593) Prec@5 88.125 (83.679) * Prec@1 52.958 Prec@5 83.751 Epoch: [34][0/11272] Time 2.938 (2.938) Data 2.077 (2.077) Loss 1.9772 (1.9772) Prec@1 47.500 (47.500) Prec@5 74.375 (74.375) Epoch: [34][10/11272] Time 0.811 (0.997) Data 0.001 (0.190) Loss 1.9258 (2.0809) Prec@1 51.250 (45.795) Prec@5 78.125 (77.784) Epoch: [34][20/11272] Time 0.837 (0.900) Data 0.002 (0.100) Loss 2.0537 (2.0778) Prec@1 48.125 (46.339) Prec@5 80.625 (77.708) Epoch: [34][30/11272] Time 0.739 (0.863) Data 0.001 (0.069) Loss 1.7480 (2.0547) Prec@1 49.375 (46.794) Prec@5 86.250 (78.065) Epoch: [34][40/11272] Time 0.735 (0.843) Data 0.002 (0.052) Loss 1.8988 (2.0484) Prec@1 46.250 (46.860) Prec@5 78.750 (78.186) Epoch: [34][50/11272] Time 0.813 (0.831) Data 0.001 (0.042) Loss 2.2389 (2.0452) Prec@1 44.375 (46.949) Prec@5 76.250 (78.002) Epoch: [34][60/11272] Time 0.833 (0.823) Data 0.002 (0.036) Loss 1.8718 (2.0645) Prec@1 51.250 (46.588) Prec@5 82.500 (77.623) Epoch: [34][70/11272] Time 0.744 (0.818) Data 0.001 (0.031) Loss 2.1470 (2.0689) Prec@1 43.750 (46.611) Prec@5 80.000 (77.509) Epoch: [34][80/11272] Time 0.726 (0.814) Data 0.003 (0.027) Loss 2.0251 (2.0709) Prec@1 46.875 (46.782) Prec@5 77.500 (77.384) Epoch: [34][90/11272] Time 0.817 (0.812) Data 0.001 (0.024) Loss 1.9540 (2.0808) Prec@1 50.000 (46.717) Prec@5 80.625 (77.260) Epoch: [34][100/11272] Time 0.821 (0.811) Data 0.002 (0.022) Loss 2.3161 (2.0837) Prec@1 41.250 (46.615) Prec@5 76.875 (77.222) Epoch: [34][110/11272] Time 0.736 (0.809) Data 0.002 (0.020) Loss 2.3545 (2.0780) Prec@1 43.750 (46.700) Prec@5 74.375 (77.325) Epoch: [34][120/11272] Time 0.734 (0.808) Data 0.002 (0.019) Loss 2.0804 (2.0790) Prec@1 42.500 (46.637) Prec@5 79.375 (77.330) Epoch: [34][130/11272] Time 0.855 (0.807) Data 0.003 (0.017) Loss 1.9496 (2.0791) Prec@1 45.625 (46.698) Prec@5 80.625 (77.333) Epoch: [34][140/11272] Time 0.728 (0.805) Data 0.003 (0.016) Loss 1.9793 (2.0770) Prec@1 50.625 (46.738) Prec@5 79.375 (77.270) Epoch: [34][150/11272] Time 0.726 (0.804) Data 0.002 (0.015) Loss 2.1186 (2.0748) Prec@1 44.375 (46.846) Prec@5 73.125 (77.268) Epoch: [34][160/11272] Time 0.872 (0.804) Data 0.002 (0.015) Loss 2.0204 (2.0778) Prec@1 51.875 (46.731) Prec@5 76.250 (77.286) Epoch: [34][170/11272] Time 0.826 (0.804) Data 0.002 (0.014) Loss 1.9927 (2.0803) Prec@1 47.500 (46.714) Prec@5 78.750 (77.237) Epoch: [34][180/11272] Time 0.730 (0.802) Data 0.002 (0.013) Loss 2.2841 (2.0825) Prec@1 41.875 (46.685) Prec@5 70.625 (77.117) Epoch: [34][190/11272] Time 0.741 (0.802) Data 0.002 (0.013) Loss 2.2742 (2.0779) Prec@1 40.000 (46.803) Prec@5 75.000 (77.156) Epoch: [34][200/11272] Time 0.859 (0.802) Data 0.002 (0.012) Loss 1.9755 (2.0773) Prec@1 47.500 (46.819) Prec@5 78.750 (77.164) Epoch: [34][210/11272] Time 0.828 (0.802) Data 0.002 (0.011) Loss 2.0733 (2.0771) Prec@1 46.250 (46.768) Prec@5 79.375 (77.189) Epoch: [34][220/11272] Time 0.743 (0.801) Data 0.002 (0.011) Loss 2.1130 (2.0739) Prec@1 50.625 (46.830) Prec@5 74.375 (77.274) Epoch: [34][230/11272] Time 0.733 (0.801) Data 0.002 (0.011) Loss 2.0007 (2.0729) Prec@1 50.625 (46.791) Prec@5 78.750 (77.297) Epoch: [34][240/11272] Time 0.874 (0.801) Data 0.002 (0.010) Loss 2.1603 (2.0717) Prec@1 48.125 (46.883) Prec@5 77.500 (77.313) Epoch: [34][250/11272] Time 0.842 (0.801) Data 0.002 (0.010) Loss 2.3220 (2.0723) Prec@1 46.875 (46.885) Prec@5 71.250 (77.331) Epoch: [34][260/11272] Time 0.783 (0.801) Data 0.002 (0.010) Loss 1.8582 (2.0726) Prec@1 50.625 (46.844) Prec@5 82.500 (77.318) Epoch: [34][270/11272] Time 0.852 (0.801) Data 0.002 (0.009) Loss 2.0070 (2.0741) Prec@1 41.875 (46.771) Prec@5 80.000 (77.304) Epoch: [34][280/11272] Time 0.826 (0.801) Data 0.002 (0.009) Loss 1.9229 (2.0731) Prec@1 48.750 (46.802) Prec@5 80.000 (77.318) Epoch: [34][290/11272] Time 0.738 (0.800) Data 0.001 (0.009) Loss 1.9192 (2.0735) Prec@1 47.500 (46.826) Prec@5 77.500 (77.302) Epoch: [34][300/11272] Time 0.727 (0.801) Data 0.002 (0.009) Loss 1.9824 (2.0753) Prec@1 48.750 (46.761) Prec@5 79.375 (77.253) Epoch: [34][310/11272] Time 0.842 (0.801) Data 0.002 (0.008) Loss 2.0355 (2.0751) Prec@1 48.125 (46.750) Prec@5 77.500 (77.277) Epoch: [34][320/11272] Time 0.885 (0.801) Data 0.002 (0.008) Loss 2.0351 (2.0744) Prec@1 45.000 (46.801) Prec@5 78.750 (77.276) Epoch: [34][330/11272] Time 0.727 (0.800) Data 0.002 (0.008) Loss 2.0958 (2.0731) Prec@1 39.375 (46.841) Prec@5 76.875 (77.307) Epoch: [34][340/11272] Time 0.730 (0.800) Data 0.002 (0.008) Loss 2.2643 (2.0759) Prec@1 44.375 (46.813) Prec@5 76.250 (77.251) Epoch: [34][350/11272] Time 0.864 (0.801) Data 0.001 (0.008) Loss 2.1591 (2.0768) Prec@1 45.000 (46.793) Prec@5 78.125 (77.240) Epoch: [34][360/11272] Time 0.852 (0.801) Data 0.001 (0.007) Loss 2.1609 (2.0754) Prec@1 43.750 (46.811) Prec@5 77.500 (77.285) Epoch: [34][370/11272] Time 0.736 (0.800) Data 0.001 (0.007) Loss 2.0935 (2.0774) Prec@1 45.625 (46.757) Prec@5 76.875 (77.256) Epoch: [34][380/11272] Time 0.723 (0.801) Data 0.002 (0.007) Loss 2.0097 (2.0768) Prec@1 49.375 (46.781) Prec@5 77.500 (77.233) Epoch: [34][390/11272] Time 0.843 (0.800) Data 0.002 (0.007) Loss 2.1054 (2.0765) Prec@1 44.375 (46.782) Prec@5 75.625 (77.227) Epoch: [34][400/11272] Time 0.740 (0.800) Data 0.004 (0.007) Loss 1.9859 (2.0762) Prec@1 48.750 (46.788) Prec@5 79.375 (77.232) Epoch: [34][410/11272] Time 0.722 (0.800) Data 0.002 (0.007) Loss 2.1741 (2.0760) Prec@1 43.750 (46.759) Prec@5 74.375 (77.223) Epoch: [34][420/11272] Time 0.881 (0.800) Data 0.003 (0.007) Loss 2.0304 (2.0756) Prec@1 50.625 (46.793) Prec@5 78.125 (77.249) Epoch: [34][430/11272] Time 0.896 (0.800) Data 0.002 (0.006) Loss 2.2195 (2.0754) Prec@1 42.500 (46.795) Prec@5 75.000 (77.245) Epoch: [34][440/11272] Time 0.722 (0.800) Data 0.002 (0.006) Loss 2.1594 (2.0749) Prec@1 50.625 (46.798) Prec@5 78.125 (77.252) Epoch: [34][450/11272] Time 0.741 (0.800) Data 0.002 (0.006) Loss 2.0930 (2.0761) Prec@1 47.500 (46.784) Prec@5 75.625 (77.226) Epoch: [34][460/11272] Time 0.860 (0.800) Data 0.003 (0.006) Loss 2.2241 (2.0758) Prec@1 43.750 (46.795) Prec@5 73.750 (77.226) Epoch: [34][470/11272] Time 0.865 (0.800) Data 0.002 (0.006) Loss 1.9456 (2.0759) Prec@1 46.250 (46.791) Prec@5 78.125 (77.228) Epoch: [34][480/11272] Time 0.779 (0.800) Data 0.001 (0.006) Loss 2.1327 (2.0745) Prec@1 47.500 (46.817) Prec@5 76.875 (77.265) Epoch: [34][490/11272] Time 0.772 (0.800) Data 0.001 (0.006) Loss 2.1782 (2.0748) Prec@1 50.625 (46.829) Prec@5 76.875 (77.258) Epoch: [34][500/11272] Time 0.863 (0.800) Data 0.001 (0.006) Loss 2.2493 (2.0743) Prec@1 43.125 (46.840) Prec@5 71.875 (77.263) Epoch: [34][510/11272] Time 0.838 (0.800) Data 0.001 (0.006) Loss 2.0211 (2.0745) Prec@1 46.875 (46.818) Prec@5 77.500 (77.260) Epoch: [34][520/11272] Time 0.740 (0.800) Data 0.002 (0.006) Loss 2.5364 (2.0740) Prec@1 38.750 (46.814) Prec@5 68.125 (77.268) Epoch: [34][530/11272] Time 0.836 (0.799) Data 0.002 (0.006) Loss 1.6965 (2.0725) Prec@1 54.375 (46.834) Prec@5 83.750 (77.298) Epoch: [34][540/11272] Time 0.861 (0.799) Data 0.001 (0.005) Loss 1.8764 (2.0725) Prec@1 48.750 (46.837) Prec@5 82.500 (77.285) Epoch: [34][550/11272] Time 0.730 (0.799) Data 0.001 (0.005) Loss 1.8112 (2.0718) Prec@1 51.250 (46.847) Prec@5 83.750 (77.300) Epoch: [34][560/11272] Time 0.794 (0.799) Data 0.002 (0.005) Loss 2.0903 (2.0708) Prec@1 42.500 (46.900) Prec@5 75.625 (77.305) Epoch: [34][570/11272] Time 0.829 (0.799) Data 0.001 (0.005) Loss 2.1793 (2.0705) Prec@1 43.750 (46.910) Prec@5 72.500 (77.320) Epoch: [34][580/11272] Time 0.842 (0.799) Data 0.002 (0.005) Loss 2.0066 (2.0703) Prec@1 50.625 (46.935) Prec@5 81.250 (77.316) Epoch: [34][590/11272] Time 0.744 (0.799) Data 0.002 (0.005) Loss 2.4576 (2.0723) Prec@1 39.375 (46.902) Prec@5 71.250 (77.271) Epoch: [34][600/11272] Time 0.755 (0.799) Data 0.002 (0.005) Loss 2.1332 (2.0727) Prec@1 45.625 (46.916) Prec@5 73.125 (77.267) Epoch: [34][610/11272] Time 0.835 (0.799) Data 0.001 (0.005) Loss 2.5069 (2.0739) Prec@1 40.000 (46.896) Prec@5 71.875 (77.236) Epoch: [34][620/11272] Time 0.833 (0.798) Data 0.002 (0.005) Loss 2.2172 (2.0743) Prec@1 46.250 (46.910) Prec@5 71.250 (77.225) Epoch: [34][630/11272] Time 0.726 (0.798) Data 0.002 (0.005) Loss 2.1656 (2.0742) Prec@1 41.250 (46.908) Prec@5 78.125 (77.231) Epoch: [34][640/11272] Time 0.733 (0.799) Data 0.002 (0.005) Loss 2.1050 (2.0750) Prec@1 50.000 (46.889) Prec@5 73.750 (77.224) Epoch: [34][650/11272] Time 0.866 (0.799) Data 0.002 (0.005) Loss 2.1771 (2.0763) Prec@1 41.875 (46.854) Prec@5 75.000 (77.195) Epoch: [34][660/11272] Time 0.849 (0.799) Data 0.002 (0.005) Loss 1.9658 (2.0771) Prec@1 43.750 (46.833) Prec@5 83.750 (77.172) Epoch: [34][670/11272] Time 0.728 (0.799) Data 0.002 (0.005) Loss 2.2031 (2.0768) Prec@1 39.375 (46.841) Prec@5 75.000 (77.168) Epoch: [34][680/11272] Time 0.863 (0.799) Data 0.002 (0.005) Loss 2.2316 (2.0784) Prec@1 48.750 (46.826) Prec@5 75.000 (77.145) Epoch: [34][690/11272] Time 0.865 (0.799) Data 0.002 (0.005) Loss 2.0386 (2.0796) Prec@1 45.000 (46.810) Prec@5 76.250 (77.129) Epoch: [34][700/11272] Time 0.761 (0.799) Data 0.002 (0.005) Loss 1.9930 (2.0797) Prec@1 43.750 (46.798) Prec@5 79.375 (77.137) Epoch: [34][710/11272] Time 0.751 (0.799) Data 0.002 (0.005) Loss 1.7588 (2.0792) Prec@1 53.750 (46.828) Prec@5 81.250 (77.146) Epoch: [34][720/11272] Time 0.840 (0.799) Data 0.001 (0.005) Loss 2.2657 (2.0788) Prec@1 46.250 (46.810) Prec@5 73.125 (77.164) Epoch: [34][730/11272] Time 0.846 (0.799) Data 0.002 (0.004) Loss 1.9750 (2.0777) Prec@1 51.875 (46.839) Prec@5 80.000 (77.190) Epoch: [34][740/11272] Time 0.728 (0.799) Data 0.002 (0.004) Loss 2.1369 (2.0778) Prec@1 43.750 (46.845) Prec@5 76.875 (77.199) Epoch: [34][750/11272] Time 0.740 (0.798) Data 0.002 (0.004) Loss 2.0293 (2.0766) Prec@1 50.000 (46.866) Prec@5 77.500 (77.223) Epoch: [34][760/11272] Time 0.836 (0.799) Data 0.001 (0.004) Loss 1.9764 (2.0773) Prec@1 46.875 (46.846) Prec@5 79.375 (77.197) Epoch: [34][770/11272] Time 0.858 (0.799) Data 0.002 (0.004) Loss 1.9957 (2.0779) Prec@1 48.125 (46.829) Prec@5 80.625 (77.183) Epoch: [34][780/11272] Time 0.726 (0.798) Data 0.002 (0.004) Loss 2.0417 (2.0774) Prec@1 47.500 (46.837) Prec@5 78.750 (77.198) Epoch: [34][790/11272] Time 0.758 (0.798) Data 0.003 (0.004) Loss 2.1444 (2.0775) Prec@1 47.500 (46.847) Prec@5 76.875 (77.186) Epoch: [34][800/11272] Time 0.838 (0.798) Data 0.002 (0.004) Loss 2.1176 (2.0767) Prec@1 49.375 (46.875) Prec@5 73.750 (77.183) Epoch: [34][810/11272] Time 0.761 (0.798) Data 0.002 (0.004) Loss 2.3979 (2.0768) Prec@1 43.125 (46.862) Prec@5 70.625 (77.176) Epoch: [34][820/11272] Time 0.771 (0.798) Data 0.002 (0.004) Loss 2.1675 (2.0780) Prec@1 44.375 (46.841) Prec@5 76.250 (77.167) Epoch: [34][830/11272] Time 0.855 (0.798) Data 0.002 (0.004) Loss 2.0227 (2.0774) Prec@1 49.375 (46.855) Prec@5 77.500 (77.182) Epoch: [34][840/11272] Time 0.838 (0.798) Data 0.002 (0.004) Loss 2.1172 (2.0779) Prec@1 46.250 (46.849) Prec@5 75.625 (77.169) Epoch: [34][850/11272] Time 0.732 (0.798) Data 0.002 (0.004) Loss 1.9379 (2.0772) Prec@1 49.375 (46.857) Prec@5 80.625 (77.176) Epoch: [34][860/11272] Time 0.730 (0.798) Data 0.002 (0.004) Loss 1.6841 (2.0766) Prec@1 55.625 (46.860) Prec@5 85.625 (77.189) Epoch: [34][870/11272] Time 0.835 (0.798) Data 0.002 (0.004) Loss 1.8123 (2.0761) Prec@1 56.250 (46.872) Prec@5 81.875 (77.192) Epoch: [34][880/11272] Time 0.901 (0.798) Data 0.002 (0.004) Loss 2.0574 (2.0759) Prec@1 48.125 (46.874) Prec@5 80.625 (77.190) Epoch: [34][890/11272] Time 0.728 (0.798) Data 0.002 (0.004) Loss 2.1641 (2.0759) Prec@1 45.000 (46.867) Prec@5 75.000 (77.197) Epoch: [34][900/11272] Time 0.787 (0.798) Data 0.002 (0.004) Loss 2.3074 (2.0761) Prec@1 42.500 (46.869) Prec@5 71.875 (77.184) Epoch: [34][910/11272] Time 0.835 (0.798) Data 0.002 (0.004) Loss 2.0102 (2.0756) Prec@1 46.875 (46.873) Prec@5 78.750 (77.194) Epoch: [34][920/11272] Time 0.852 (0.798) Data 0.001 (0.004) Loss 2.1505 (2.0754) Prec@1 43.125 (46.863) Prec@5 77.500 (77.210) Epoch: [34][930/11272] Time 0.759 (0.798) Data 0.002 (0.004) Loss 2.1990 (2.0758) Prec@1 42.500 (46.847) Prec@5 73.750 (77.192) Epoch: [34][940/11272] Time 0.848 (0.798) Data 0.002 (0.004) Loss 2.1015 (2.0757) Prec@1 45.000 (46.858) Prec@5 76.250 (77.192) Epoch: [34][950/11272] Time 0.856 (0.798) Data 0.002 (0.004) Loss 2.2253 (2.0763) Prec@1 43.125 (46.849) Prec@5 76.250 (77.176) Epoch: [34][960/11272] Time 0.745 (0.798) Data 0.001 (0.004) Loss 2.0290 (2.0762) Prec@1 45.000 (46.838) Prec@5 77.500 (77.183) Epoch: [34][970/11272] Time 0.731 (0.798) Data 0.002 (0.004) Loss 2.0889 (2.0753) Prec@1 46.250 (46.858) Prec@5 78.750 (77.209) Epoch: [34][980/11272] Time 0.852 (0.797) Data 0.002 (0.004) Loss 2.1309 (2.0758) Prec@1 43.750 (46.837) Prec@5 78.750 (77.208) Epoch: [34][990/11272] Time 0.829 (0.797) Data 0.001 (0.004) Loss 1.9623 (2.0757) Prec@1 49.375 (46.831) Prec@5 78.750 (77.207) Epoch: [34][1000/11272] Time 0.744 (0.797) Data 0.002 (0.004) Loss 2.0767 (2.0754) Prec@1 48.125 (46.841) Prec@5 75.625 (77.220) Epoch: [34][1010/11272] Time 0.732 (0.797) Data 0.002 (0.004) Loss 2.0517 (2.0755) Prec@1 50.625 (46.848) Prec@5 78.125 (77.221) Epoch: [34][1020/11272] Time 0.849 (0.797) Data 0.002 (0.004) Loss 2.1874 (2.0764) Prec@1 46.250 (46.829) Prec@5 75.000 (77.207) Epoch: [34][1030/11272] Time 0.873 (0.797) Data 0.002 (0.004) Loss 2.0064 (2.0757) Prec@1 48.750 (46.865) Prec@5 76.250 (77.222) Epoch: [34][1040/11272] Time 0.721 (0.797) Data 0.001 (0.004) Loss 1.8392 (2.0757) Prec@1 55.625 (46.864) Prec@5 79.375 (77.221) Epoch: [34][1050/11272] Time 0.729 (0.797) Data 0.001 (0.004) Loss 2.0582 (2.0754) Prec@1 44.375 (46.868) Prec@5 82.500 (77.231) Epoch: [34][1060/11272] Time 0.839 (0.797) Data 0.002 (0.004) Loss 1.9286 (2.0752) Prec@1 48.125 (46.879) Prec@5 75.000 (77.225) Epoch: [34][1070/11272] Time 0.740 (0.797) Data 0.003 (0.004) Loss 2.0464 (2.0754) Prec@1 45.625 (46.872) Prec@5 78.750 (77.224) Epoch: [34][1080/11272] Time 0.722 (0.797) Data 0.002 (0.004) Loss 1.9120 (2.0750) Prec@1 52.500 (46.880) Prec@5 79.375 (77.241) Epoch: [34][1090/11272] Time 0.836 (0.797) Data 0.002 (0.004) Loss 2.2453 (2.0749) Prec@1 44.375 (46.879) Prec@5 72.500 (77.241) Epoch: [34][1100/11272] Time 0.825 (0.797) Data 0.002 (0.004) Loss 1.9251 (2.0744) Prec@1 51.875 (46.896) Prec@5 81.875 (77.255) Epoch: [34][1110/11272] Time 0.730 (0.797) Data 0.002 (0.004) Loss 1.8553 (2.0748) Prec@1 48.125 (46.883) Prec@5 80.625 (77.249) Epoch: [34][1120/11272] Time 0.737 (0.797) Data 0.002 (0.004) Loss 1.7818 (2.0751) Prec@1 52.500 (46.876) Prec@5 80.625 (77.241) Epoch: [34][1130/11272] Time 0.856 (0.797) Data 0.002 (0.003) Loss 2.0598 (2.0753) Prec@1 49.375 (46.866) Prec@5 76.250 (77.243) Epoch: [34][1140/11272] Time 0.851 (0.797) Data 0.001 (0.003) Loss 2.1928 (2.0751) Prec@1 48.125 (46.873) Prec@5 72.500 (77.254) Epoch: [34][1150/11272] Time 0.740 (0.797) Data 0.002 (0.003) Loss 1.8537 (2.0745) Prec@1 51.875 (46.885) Prec@5 82.500 (77.268) Epoch: [34][1160/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.2720 (2.0743) Prec@1 44.375 (46.888) Prec@5 71.875 (77.268) Epoch: [34][1170/11272] Time 0.830 (0.797) Data 0.002 (0.003) Loss 1.9628 (2.0741) Prec@1 46.875 (46.898) Prec@5 78.750 (77.283) Epoch: [34][1180/11272] Time 0.812 (0.797) Data 0.001 (0.003) Loss 1.8053 (2.0740) Prec@1 46.250 (46.887) Prec@5 83.125 (77.284) Epoch: [34][1190/11272] Time 0.734 (0.797) Data 0.002 (0.003) Loss 1.9855 (2.0737) Prec@1 48.750 (46.881) Prec@5 75.000 (77.288) Epoch: [34][1200/11272] Time 0.827 (0.797) Data 0.002 (0.003) Loss 2.0734 (2.0728) Prec@1 46.250 (46.902) Prec@5 77.500 (77.299) Epoch: [34][1210/11272] Time 0.844 (0.797) Data 0.001 (0.003) Loss 2.1128 (2.0733) Prec@1 45.625 (46.890) Prec@5 77.500 (77.285) Epoch: [34][1220/11272] Time 0.790 (0.797) Data 0.001 (0.003) Loss 2.1477 (2.0736) Prec@1 41.250 (46.881) Prec@5 76.250 (77.278) Epoch: [34][1230/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.2743 (2.0735) Prec@1 45.625 (46.881) Prec@5 76.250 (77.281) Epoch: [34][1240/11272] Time 0.837 (0.797) Data 0.001 (0.003) Loss 2.2268 (2.0733) Prec@1 47.500 (46.887) Prec@5 70.625 (77.289) Epoch: [34][1250/11272] Time 0.837 (0.797) Data 0.002 (0.003) Loss 2.1420 (2.0731) Prec@1 48.750 (46.885) Prec@5 73.125 (77.293) Epoch: [34][1260/11272] Time 0.789 (0.797) Data 0.002 (0.003) Loss 1.7575 (2.0736) Prec@1 55.625 (46.887) Prec@5 83.750 (77.277) Epoch: [34][1270/11272] Time 0.736 (0.797) Data 0.002 (0.003) Loss 2.0644 (2.0735) Prec@1 45.000 (46.892) Prec@5 77.500 (77.275) Epoch: [34][1280/11272] Time 0.856 (0.797) Data 0.002 (0.003) Loss 1.9095 (2.0737) Prec@1 48.125 (46.884) Prec@5 81.875 (77.275) Epoch: [34][1290/11272] Time 0.833 (0.797) Data 0.002 (0.003) Loss 1.9212 (2.0731) Prec@1 53.125 (46.900) Prec@5 77.500 (77.282) Epoch: [34][1300/11272] Time 0.733 (0.797) Data 0.002 (0.003) Loss 1.9560 (2.0735) Prec@1 48.125 (46.892) Prec@5 81.250 (77.278) Epoch: [34][1310/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.1087 (2.0739) Prec@1 46.250 (46.886) Prec@5 73.125 (77.263) Epoch: [34][1320/11272] Time 0.869 (0.797) Data 0.002 (0.003) Loss 1.8246 (2.0739) Prec@1 52.500 (46.897) Prec@5 87.500 (77.268) Epoch: [34][1330/11272] Time 0.742 (0.797) Data 0.003 (0.003) Loss 2.1252 (2.0744) Prec@1 45.000 (46.885) Prec@5 76.250 (77.257) Epoch: [34][1340/11272] Time 0.741 (0.797) Data 0.002 (0.003) Loss 1.9557 (2.0750) Prec@1 52.500 (46.878) Prec@5 77.500 (77.237) Epoch: [34][1350/11272] Time 0.863 (0.797) Data 0.002 (0.003) Loss 2.0080 (2.0756) Prec@1 53.125 (46.874) Prec@5 79.375 (77.235) Epoch: [34][1360/11272] Time 0.832 (0.797) Data 0.002 (0.003) Loss 1.9688 (2.0754) Prec@1 43.125 (46.865) Prec@5 83.125 (77.250) Epoch: [34][1370/11272] Time 0.730 (0.797) Data 0.002 (0.003) Loss 1.9604 (2.0756) Prec@1 48.125 (46.865) Prec@5 77.500 (77.243) Epoch: [34][1380/11272] Time 0.743 (0.797) Data 0.001 (0.003) Loss 2.1108 (2.0753) Prec@1 44.375 (46.875) Prec@5 80.625 (77.256) Epoch: [34][1390/11272] Time 0.867 (0.797) Data 0.002 (0.003) Loss 2.0201 (2.0752) Prec@1 46.250 (46.881) Prec@5 80.625 (77.253) Epoch: [34][1400/11272] Time 0.793 (0.797) Data 0.001 (0.003) Loss 2.0608 (2.0753) Prec@1 49.375 (46.884) Prec@5 78.125 (77.248) Epoch: [34][1410/11272] Time 0.726 (0.797) Data 0.002 (0.003) Loss 2.0336 (2.0757) Prec@1 46.250 (46.876) Prec@5 73.750 (77.231) Epoch: [34][1420/11272] Time 0.734 (0.797) Data 0.001 (0.003) Loss 2.1009 (2.0757) Prec@1 46.875 (46.875) Prec@5 73.125 (77.230) Epoch: [34][1430/11272] Time 0.834 (0.797) Data 0.002 (0.003) Loss 1.9994 (2.0758) Prec@1 49.375 (46.868) Prec@5 78.125 (77.234) Epoch: [34][1440/11272] Time 0.820 (0.797) Data 0.001 (0.003) Loss 1.7714 (2.0759) Prec@1 57.500 (46.870) Prec@5 81.875 (77.234) Epoch: [34][1450/11272] Time 0.702 (0.797) Data 0.001 (0.003) Loss 2.0200 (2.0761) Prec@1 49.375 (46.865) Prec@5 80.000 (77.237) Epoch: [34][1460/11272] Time 0.839 (0.797) Data 0.002 (0.003) Loss 1.9482 (2.0760) Prec@1 53.750 (46.861) Prec@5 80.000 (77.242) Epoch: [34][1470/11272] Time 0.854 (0.797) Data 0.002 (0.003) Loss 2.0192 (2.0760) Prec@1 50.625 (46.864) Prec@5 73.125 (77.237) Epoch: [34][1480/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 2.1979 (2.0757) Prec@1 48.125 (46.867) Prec@5 76.875 (77.243) Epoch: [34][1490/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.0981 (2.0755) Prec@1 44.375 (46.867) Prec@5 77.500 (77.244) Epoch: [34][1500/11272] Time 0.902 (0.797) Data 0.002 (0.003) Loss 2.2148 (2.0756) Prec@1 45.625 (46.875) Prec@5 76.875 (77.244) Epoch: [34][1510/11272] Time 0.886 (0.797) Data 0.002 (0.003) Loss 1.9475 (2.0756) Prec@1 50.000 (46.875) Prec@5 79.375 (77.238) Epoch: [34][1520/11272] Time 0.747 (0.797) Data 0.002 (0.003) Loss 2.0765 (2.0759) Prec@1 50.000 (46.870) Prec@5 76.250 (77.234) Epoch: [34][1530/11272] Time 0.739 (0.797) Data 0.002 (0.003) Loss 2.0847 (2.0760) Prec@1 45.000 (46.878) Prec@5 75.000 (77.227) Epoch: [34][1540/11272] Time 0.854 (0.797) Data 0.002 (0.003) Loss 2.1092 (2.0763) Prec@1 48.125 (46.873) Prec@5 78.125 (77.217) Epoch: [34][1550/11272] Time 0.855 (0.797) Data 0.001 (0.003) Loss 2.1712 (2.0764) Prec@1 43.750 (46.871) Prec@5 75.625 (77.216) Epoch: [34][1560/11272] Time 0.770 (0.797) Data 0.002 (0.003) Loss 1.9297 (2.0764) Prec@1 47.500 (46.874) Prec@5 78.125 (77.213) Epoch: [34][1570/11272] Time 0.742 (0.797) Data 0.002 (0.003) Loss 2.0140 (2.0769) Prec@1 47.500 (46.865) Prec@5 77.500 (77.194) Epoch: [34][1580/11272] Time 0.835 (0.797) Data 0.002 (0.003) Loss 1.9605 (2.0766) Prec@1 51.875 (46.869) Prec@5 78.750 (77.202) Epoch: [34][1590/11272] Time 0.862 (0.797) Data 0.001 (0.003) Loss 2.2346 (2.0767) Prec@1 41.250 (46.870) Prec@5 73.125 (77.199) Epoch: [34][1600/11272] Time 0.729 (0.797) Data 0.002 (0.003) Loss 2.1628 (2.0773) Prec@1 46.875 (46.852) Prec@5 74.375 (77.190) Epoch: [34][1610/11272] Time 0.858 (0.797) Data 0.002 (0.003) Loss 2.1711 (2.0775) Prec@1 46.875 (46.851) Prec@5 75.625 (77.189) Epoch: [34][1620/11272] Time 0.837 (0.797) Data 0.002 (0.003) Loss 1.8086 (2.0773) Prec@1 52.500 (46.860) Prec@5 80.000 (77.194) Epoch: [34][1630/11272] Time 0.725 (0.797) Data 0.001 (0.003) Loss 2.3558 (2.0778) Prec@1 38.125 (46.857) Prec@5 70.625 (77.180) Epoch: [34][1640/11272] Time 0.763 (0.797) Data 0.002 (0.003) Loss 2.0337 (2.0783) Prec@1 51.875 (46.845) Prec@5 76.875 (77.176) Epoch: [34][1650/11272] Time 0.842 (0.797) Data 0.002 (0.003) Loss 2.2702 (2.0786) Prec@1 37.500 (46.837) Prec@5 73.125 (77.174) Epoch: [34][1660/11272] Time 0.862 (0.797) Data 0.002 (0.003) Loss 1.8580 (2.0786) Prec@1 48.125 (46.825) Prec@5 77.500 (77.175) Epoch: [34][1670/11272] Time 0.746 (0.797) Data 0.002 (0.003) Loss 2.0924 (2.0790) Prec@1 45.000 (46.808) Prec@5 81.875 (77.173) Epoch: [34][1680/11272] Time 0.748 (0.797) Data 0.002 (0.003) Loss 1.9682 (2.0786) Prec@1 45.625 (46.804) Prec@5 80.000 (77.179) Epoch: [34][1690/11272] Time 0.847 (0.797) Data 0.002 (0.003) Loss 2.1619 (2.0787) Prec@1 45.000 (46.803) Prec@5 77.500 (77.184) Epoch: [34][1700/11272] Time 0.885 (0.797) Data 0.002 (0.003) Loss 1.8058 (2.0785) Prec@1 51.250 (46.798) Prec@5 85.000 (77.190) Epoch: [34][1710/11272] Time 0.734 (0.797) Data 0.002 (0.003) Loss 2.0038 (2.0788) Prec@1 50.000 (46.799) Prec@5 77.500 (77.183) Epoch: [34][1720/11272] Time 0.864 (0.797) Data 0.002 (0.003) Loss 1.9267 (2.0789) Prec@1 53.125 (46.802) Prec@5 80.000 (77.179) Epoch: [34][1730/11272] Time 0.844 (0.797) Data 0.001 (0.003) Loss 1.9732 (2.0784) Prec@1 40.000 (46.814) Prec@5 80.000 (77.190) Epoch: [34][1740/11272] Time 0.737 (0.797) Data 0.002 (0.003) Loss 1.9487 (2.0788) Prec@1 46.875 (46.814) Prec@5 79.375 (77.186) Epoch: [34][1750/11272] Time 0.737 (0.797) Data 0.001 (0.003) Loss 2.2408 (2.0793) Prec@1 40.625 (46.803) Prec@5 73.750 (77.177) Epoch: [34][1760/11272] Time 0.823 (0.797) Data 0.002 (0.003) Loss 2.1303 (2.0793) Prec@1 46.875 (46.801) Prec@5 76.250 (77.177) Epoch: [34][1770/11272] Time 0.820 (0.797) Data 0.001 (0.003) Loss 2.1426 (2.0792) Prec@1 43.125 (46.803) Prec@5 75.000 (77.183) Epoch: [34][1780/11272] Time 0.742 (0.797) Data 0.002 (0.003) Loss 2.2080 (2.0797) Prec@1 45.000 (46.789) Prec@5 78.125 (77.177) Epoch: [34][1790/11272] Time 0.733 (0.797) Data 0.002 (0.003) Loss 2.0622 (2.0800) Prec@1 41.875 (46.774) Prec@5 77.500 (77.174) Epoch: [34][1800/11272] Time 0.844 (0.797) Data 0.002 (0.003) Loss 2.1459 (2.0796) Prec@1 48.125 (46.777) Prec@5 73.750 (77.179) Epoch: [34][1810/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.3205 (2.0797) Prec@1 35.625 (46.767) Prec@5 70.000 (77.175) Epoch: [34][1820/11272] Time 0.739 (0.797) Data 0.001 (0.003) Loss 1.9886 (2.0798) Prec@1 53.750 (46.771) Prec@5 76.875 (77.175) Epoch: [34][1830/11272] Time 0.743 (0.797) Data 0.002 (0.003) Loss 2.0187 (2.0797) Prec@1 50.625 (46.778) Prec@5 76.875 (77.176) Epoch: [34][1840/11272] Time 0.845 (0.797) Data 0.002 (0.003) Loss 2.1532 (2.0800) Prec@1 40.625 (46.771) Prec@5 73.125 (77.171) Epoch: [34][1850/11272] Time 0.850 (0.797) Data 0.002 (0.003) Loss 1.9826 (2.0800) Prec@1 52.500 (46.771) Prec@5 80.625 (77.173) Epoch: [34][1860/11272] Time 0.733 (0.797) Data 0.002 (0.003) Loss 2.2489 (2.0801) Prec@1 38.750 (46.768) Prec@5 74.375 (77.171) Epoch: [34][1870/11272] Time 0.844 (0.797) Data 0.002 (0.003) Loss 2.0760 (2.0802) Prec@1 46.875 (46.761) Prec@5 73.125 (77.169) Epoch: [34][1880/11272] Time 0.845 (0.797) Data 0.002 (0.003) Loss 2.0351 (2.0800) Prec@1 48.750 (46.768) Prec@5 79.375 (77.174) Epoch: [34][1890/11272] Time 0.752 (0.797) Data 0.001 (0.003) Loss 1.9694 (2.0801) Prec@1 48.125 (46.761) Prec@5 80.625 (77.173) Epoch: [34][1900/11272] Time 0.784 (0.797) Data 0.002 (0.003) Loss 2.1526 (2.0804) Prec@1 45.625 (46.760) Prec@5 75.625 (77.168) Epoch: [34][1910/11272] Time 0.841 (0.797) Data 0.002 (0.003) Loss 2.1858 (2.0804) Prec@1 43.125 (46.763) Prec@5 78.750 (77.169) Epoch: [34][1920/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.2740 (2.0807) Prec@1 38.750 (46.756) Prec@5 76.250 (77.169) Epoch: [34][1930/11272] Time 0.733 (0.797) Data 0.002 (0.003) Loss 2.1337 (2.0808) Prec@1 46.250 (46.749) Prec@5 76.875 (77.168) Epoch: [34][1940/11272] Time 0.730 (0.797) Data 0.001 (0.003) Loss 1.8368 (2.0804) Prec@1 51.250 (46.758) Prec@5 79.375 (77.173) Epoch: [34][1950/11272] Time 0.862 (0.797) Data 0.002 (0.003) Loss 2.2037 (2.0805) Prec@1 43.125 (46.752) Prec@5 76.875 (77.176) Epoch: [34][1960/11272] Time 0.836 (0.797) Data 0.001 (0.003) Loss 1.9972 (2.0805) Prec@1 43.750 (46.749) Prec@5 80.000 (77.169) Epoch: [34][1970/11272] Time 0.759 (0.797) Data 0.002 (0.003) Loss 1.9665 (2.0804) Prec@1 48.125 (46.747) Prec@5 81.250 (77.174) Epoch: [34][1980/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 1.7880 (2.0805) Prec@1 55.000 (46.744) Prec@5 83.125 (77.167) Epoch: [34][1990/11272] Time 0.856 (0.797) Data 0.002 (0.003) Loss 2.0422 (2.0804) Prec@1 48.750 (46.743) Prec@5 74.375 (77.166) Epoch: [34][2000/11272] Time 0.737 (0.797) Data 0.003 (0.003) Loss 2.1480 (2.0805) Prec@1 47.500 (46.744) Prec@5 72.500 (77.161) Epoch: [34][2010/11272] Time 0.731 (0.797) Data 0.002 (0.003) Loss 2.4135 (2.0808) Prec@1 39.375 (46.741) Prec@5 71.250 (77.153) Epoch: [34][2020/11272] Time 0.853 (0.797) Data 0.001 (0.003) Loss 2.0906 (2.0813) Prec@1 43.125 (46.724) Prec@5 78.750 (77.150) Epoch: [34][2030/11272] Time 0.905 (0.797) Data 0.002 (0.003) Loss 2.1376 (2.0814) Prec@1 49.375 (46.725) Prec@5 75.000 (77.148) Epoch: [34][2040/11272] Time 0.750 (0.797) Data 0.001 (0.003) Loss 2.2130 (2.0815) Prec@1 46.250 (46.728) Prec@5 74.375 (77.147) Epoch: [34][2050/11272] Time 0.741 (0.797) Data 0.002 (0.003) Loss 1.9929 (2.0813) Prec@1 50.000 (46.728) Prec@5 76.875 (77.148) Epoch: [34][2060/11272] Time 0.855 (0.797) Data 0.002 (0.003) Loss 2.1598 (2.0814) Prec@1 41.875 (46.727) Prec@5 75.000 (77.143) Epoch: [34][2070/11272] Time 0.860 (0.797) Data 0.002 (0.003) Loss 2.3366 (2.0815) Prec@1 43.125 (46.724) Prec@5 73.750 (77.147) Epoch: [34][2080/11272] Time 0.706 (0.797) Data 0.001 (0.003) Loss 2.3452 (2.0815) Prec@1 40.625 (46.726) Prec@5 71.250 (77.144) Epoch: [34][2090/11272] Time 0.761 (0.797) Data 0.002 (0.003) Loss 1.9812 (2.0812) Prec@1 47.500 (46.729) Prec@5 80.625 (77.147) Epoch: [34][2100/11272] Time 0.832 (0.797) Data 0.002 (0.003) Loss 2.0909 (2.0811) Prec@1 43.125 (46.721) Prec@5 76.875 (77.149) Epoch: [34][2110/11272] Time 0.833 (0.797) Data 0.002 (0.003) Loss 2.0406 (2.0812) Prec@1 46.875 (46.713) Prec@5 77.500 (77.146) Epoch: [34][2120/11272] Time 0.752 (0.797) Data 0.001 (0.003) Loss 2.2371 (2.0812) Prec@1 47.500 (46.717) Prec@5 73.125 (77.147) Epoch: [34][2130/11272] Time 0.858 (0.797) Data 0.001 (0.003) Loss 2.1236 (2.0810) Prec@1 44.375 (46.730) Prec@5 75.625 (77.149) Epoch: [34][2140/11272] Time 0.870 (0.797) Data 0.001 (0.003) Loss 2.0788 (2.0811) Prec@1 47.500 (46.731) Prec@5 75.000 (77.145) Epoch: [34][2150/11272] Time 0.717 (0.797) Data 0.001 (0.003) Loss 1.8770 (2.0811) Prec@1 53.125 (46.738) Prec@5 81.250 (77.146) Epoch: [34][2160/11272] Time 0.736 (0.797) Data 0.001 (0.003) Loss 2.0909 (2.0809) Prec@1 48.125 (46.741) Prec@5 78.125 (77.149) Epoch: [34][2170/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.1255 (2.0810) Prec@1 41.875 (46.737) Prec@5 80.000 (77.147) Epoch: [34][2180/11272] Time 0.837 (0.797) Data 0.002 (0.003) Loss 1.9489 (2.0812) Prec@1 50.625 (46.734) Prec@5 80.625 (77.139) Epoch: [34][2190/11272] Time 0.763 (0.797) Data 0.001 (0.003) Loss 2.0534 (2.0811) Prec@1 50.000 (46.734) Prec@5 76.250 (77.137) Epoch: [34][2200/11272] Time 0.737 (0.797) Data 0.002 (0.003) Loss 1.9100 (2.0812) Prec@1 48.750 (46.730) Prec@5 80.625 (77.137) Epoch: [34][2210/11272] Time 0.819 (0.797) Data 0.001 (0.003) Loss 2.3856 (2.0810) Prec@1 39.375 (46.729) Prec@5 75.000 (77.145) Epoch: [34][2220/11272] Time 0.848 (0.797) Data 0.001 (0.003) Loss 2.0106 (2.0808) Prec@1 43.125 (46.729) Prec@5 78.125 (77.144) Epoch: [34][2230/11272] Time 0.740 (0.797) Data 0.001 (0.003) Loss 2.2467 (2.0811) Prec@1 43.125 (46.720) Prec@5 71.875 (77.139) Epoch: [34][2240/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 1.8012 (2.0808) Prec@1 53.750 (46.734) Prec@5 80.000 (77.144) Epoch: [34][2250/11272] Time 0.829 (0.797) Data 0.002 (0.003) Loss 1.9616 (2.0811) Prec@1 47.500 (46.735) Prec@5 79.375 (77.137) Epoch: [34][2260/11272] Time 0.742 (0.797) Data 0.003 (0.003) Loss 2.0631 (2.0810) Prec@1 50.625 (46.737) Prec@5 75.000 (77.139) Epoch: [34][2270/11272] Time 0.734 (0.797) Data 0.002 (0.003) Loss 1.8654 (2.0811) Prec@1 51.875 (46.735) Prec@5 78.125 (77.137) Epoch: [34][2280/11272] Time 0.836 (0.797) Data 0.001 (0.003) Loss 2.2712 (2.0816) Prec@1 41.250 (46.722) Prec@5 73.125 (77.127) Epoch: [34][2290/11272] Time 0.845 (0.797) Data 0.002 (0.003) Loss 2.2761 (2.0818) Prec@1 46.875 (46.721) Prec@5 76.250 (77.127) Epoch: [34][2300/11272] Time 0.727 (0.797) Data 0.002 (0.003) Loss 2.1697 (2.0816) Prec@1 51.250 (46.730) Prec@5 75.625 (77.130) Epoch: [34][2310/11272] Time 0.749 (0.797) Data 0.002 (0.003) Loss 2.2674 (2.0821) Prec@1 40.000 (46.715) Prec@5 73.750 (77.124) Epoch: [34][2320/11272] Time 0.838 (0.797) Data 0.002 (0.003) Loss 1.9319 (2.0823) Prec@1 49.375 (46.715) Prec@5 80.625 (77.122) Epoch: [34][2330/11272] Time 0.853 (0.797) Data 0.002 (0.003) Loss 2.1322 (2.0820) Prec@1 45.000 (46.724) Prec@5 74.375 (77.125) Epoch: [34][2340/11272] Time 0.720 (0.797) Data 0.002 (0.003) Loss 2.1375 (2.0822) Prec@1 45.625 (46.713) Prec@5 79.375 (77.125) Epoch: [34][2350/11272] Time 0.747 (0.797) Data 0.002 (0.003) Loss 2.1740 (2.0823) Prec@1 44.375 (46.712) Prec@5 76.875 (77.123) Epoch: [34][2360/11272] Time 0.860 (0.797) Data 0.001 (0.003) Loss 2.1679 (2.0822) Prec@1 46.875 (46.709) Prec@5 75.625 (77.126) Epoch: [34][2370/11272] Time 0.834 (0.797) Data 0.002 (0.003) Loss 2.3922 (2.0825) Prec@1 40.000 (46.705) Prec@5 73.125 (77.124) Epoch: [34][2380/11272] Time 0.731 (0.797) Data 0.002 (0.003) Loss 2.1714 (2.0831) Prec@1 42.500 (46.689) Prec@5 73.125 (77.114) Epoch: [34][2390/11272] Time 0.831 (0.797) Data 0.002 (0.003) Loss 2.0469 (2.0830) Prec@1 52.500 (46.688) Prec@5 80.000 (77.120) Epoch: [34][2400/11272] Time 0.937 (0.797) Data 0.002 (0.003) Loss 2.2047 (2.0831) Prec@1 43.750 (46.689) Prec@5 71.875 (77.120) Epoch: [34][2410/11272] Time 0.740 (0.797) Data 0.001 (0.003) Loss 2.2675 (2.0834) Prec@1 46.875 (46.676) Prec@5 73.125 (77.113) Epoch: [34][2420/11272] Time 0.757 (0.797) Data 0.002 (0.003) Loss 2.0919 (2.0833) Prec@1 48.125 (46.679) Prec@5 75.625 (77.112) Epoch: [34][2430/11272] Time 0.856 (0.797) Data 0.002 (0.003) Loss 1.9716 (2.0833) Prec@1 49.375 (46.674) Prec@5 81.875 (77.114) Epoch: [34][2440/11272] Time 0.858 (0.797) Data 0.002 (0.003) Loss 2.0243 (2.0833) Prec@1 44.375 (46.668) Prec@5 80.000 (77.119) Epoch: [34][2450/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 2.2590 (2.0832) Prec@1 43.750 (46.669) Prec@5 73.125 (77.123) Epoch: [34][2460/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 2.1758 (2.0834) Prec@1 46.875 (46.666) Prec@5 73.750 (77.116) Epoch: [34][2470/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.1470 (2.0833) Prec@1 43.750 (46.666) Prec@5 78.125 (77.120) Epoch: [34][2480/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.1197 (2.0832) Prec@1 43.750 (46.664) Prec@5 80.000 (77.122) Epoch: [34][2490/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.8393 (2.0829) Prec@1 50.625 (46.662) Prec@5 82.500 (77.128) Epoch: [34][2500/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.2920 (2.0832) Prec@1 39.375 (46.661) Prec@5 73.750 (77.127) Epoch: [34][2510/11272] Time 0.892 (0.797) Data 0.002 (0.002) Loss 2.4428 (2.0834) Prec@1 45.000 (46.653) Prec@5 65.625 (77.120) Epoch: [34][2520/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2871 (2.0836) Prec@1 41.250 (46.650) Prec@5 71.875 (77.114) Epoch: [34][2530/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0156 (2.0835) Prec@1 52.500 (46.652) Prec@5 78.750 (77.113) Epoch: [34][2540/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 2.1947 (2.0835) Prec@1 46.875 (46.649) Prec@5 75.000 (77.111) Epoch: [34][2550/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.0692 (2.0833) Prec@1 44.375 (46.654) Prec@5 76.250 (77.113) Epoch: [34][2560/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.9516 (2.0833) Prec@1 52.500 (46.646) Prec@5 81.875 (77.112) Epoch: [34][2570/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.2103 (2.0832) Prec@1 41.250 (46.648) Prec@5 77.500 (77.115) Epoch: [34][2580/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.0373 (2.0834) Prec@1 50.000 (46.640) Prec@5 77.500 (77.109) Epoch: [34][2590/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0102 (2.0836) Prec@1 41.875 (46.637) Prec@5 76.875 (77.108) Epoch: [34][2600/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 2.1649 (2.0837) Prec@1 43.750 (46.638) Prec@5 78.750 (77.106) Epoch: [34][2610/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0870 (2.0837) Prec@1 47.500 (46.638) Prec@5 75.625 (77.106) Epoch: [34][2620/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.2650 (2.0834) Prec@1 41.250 (46.638) Prec@5 72.500 (77.114) Epoch: [34][2630/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9361 (2.0835) Prec@1 50.625 (46.636) Prec@5 80.000 (77.110) Epoch: [34][2640/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1818 (2.0837) Prec@1 40.625 (46.629) Prec@5 79.375 (77.111) Epoch: [34][2650/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0379 (2.0837) Prec@1 45.000 (46.627) Prec@5 80.000 (77.104) Epoch: [34][2660/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.2343 (2.0836) Prec@1 49.375 (46.633) Prec@5 75.625 (77.110) Epoch: [34][2670/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.0926 (2.0838) Prec@1 45.625 (46.630) Prec@5 76.875 (77.108) Epoch: [34][2680/11272] Time 0.770 (0.797) Data 0.002 (0.002) Loss 2.1530 (2.0840) Prec@1 41.875 (46.625) Prec@5 75.000 (77.106) Epoch: [34][2690/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1206 (2.0840) Prec@1 50.000 (46.627) Prec@5 75.625 (77.107) Epoch: [34][2700/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.2442 (2.0841) Prec@1 45.625 (46.631) Prec@5 71.875 (77.102) Epoch: [34][2710/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.8997 (2.0839) Prec@1 48.750 (46.634) Prec@5 80.625 (77.107) Epoch: [34][2720/11272] Time 0.790 (0.797) Data 0.002 (0.002) Loss 1.9505 (2.0840) Prec@1 45.000 (46.631) Prec@5 79.375 (77.105) Epoch: [34][2730/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0433 (2.0841) Prec@1 46.250 (46.632) Prec@5 75.625 (77.104) Epoch: [34][2740/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0773 (2.0842) Prec@1 45.000 (46.630) Prec@5 74.375 (77.103) Epoch: [34][2750/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 2.0563 (2.0844) Prec@1 48.750 (46.627) Prec@5 79.375 (77.105) Epoch: [34][2760/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 2.0527 (2.0845) Prec@1 50.625 (46.621) Prec@5 79.375 (77.104) Epoch: [34][2770/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9312 (2.0845) Prec@1 48.750 (46.619) Prec@5 79.375 (77.107) Epoch: [34][2780/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 1.7586 (2.0846) Prec@1 55.000 (46.620) Prec@5 83.125 (77.105) Epoch: [34][2790/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0555 (2.0846) Prec@1 46.250 (46.620) Prec@5 75.625 (77.103) Epoch: [34][2800/11272] Time 0.934 (0.797) Data 0.002 (0.002) Loss 2.1271 (2.0847) Prec@1 46.875 (46.621) Prec@5 76.250 (77.105) Epoch: [34][2810/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.9820 (2.0846) Prec@1 45.625 (46.620) Prec@5 78.125 (77.105) Epoch: [34][2820/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2720 (2.0848) Prec@1 46.250 (46.621) Prec@5 73.125 (77.096) Epoch: [34][2830/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0878 (2.0844) Prec@1 47.500 (46.631) Prec@5 80.000 (77.100) Epoch: [34][2840/11272] Time 0.858 (0.797) Data 0.001 (0.002) Loss 2.1362 (2.0846) Prec@1 50.000 (46.631) Prec@5 76.875 (77.101) Epoch: [34][2850/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2554 (2.0849) Prec@1 43.750 (46.629) Prec@5 73.750 (77.095) Epoch: [34][2860/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1078 (2.0848) Prec@1 51.875 (46.630) Prec@5 76.875 (77.096) Epoch: [34][2870/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.2606 (2.0848) Prec@1 44.375 (46.624) Prec@5 71.250 (77.095) Epoch: [34][2880/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1593 (2.0850) Prec@1 45.000 (46.623) Prec@5 75.625 (77.089) Epoch: [34][2890/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 2.2858 (2.0852) Prec@1 44.375 (46.618) Prec@5 68.125 (77.084) Epoch: [34][2900/11272] Time 0.799 (0.797) Data 0.002 (0.002) Loss 2.1415 (2.0852) Prec@1 43.750 (46.613) Prec@5 78.750 (77.088) Epoch: [34][2910/11272] Time 0.789 (0.797) Data 0.002 (0.002) Loss 1.9486 (2.0853) Prec@1 46.875 (46.611) Prec@5 79.375 (77.086) Epoch: [34][2920/11272] Time 0.853 (0.797) Data 0.003 (0.002) Loss 2.1138 (2.0855) Prec@1 47.500 (46.608) Prec@5 76.875 (77.081) Epoch: [34][2930/11272] Time 0.789 (0.797) Data 0.003 (0.002) Loss 1.9302 (2.0856) Prec@1 48.125 (46.614) Prec@5 85.000 (77.077) Epoch: [34][2940/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9338 (2.0855) Prec@1 53.750 (46.620) Prec@5 80.000 (77.082) Epoch: [34][2950/11272] Time 0.858 (0.797) Data 0.001 (0.002) Loss 2.0713 (2.0855) Prec@1 48.125 (46.615) Prec@5 78.750 (77.082) Epoch: [34][2960/11272] Time 0.892 (0.797) Data 0.002 (0.002) Loss 2.2631 (2.0858) Prec@1 47.500 (46.615) Prec@5 75.000 (77.076) Epoch: [34][2970/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1744 (2.0858) Prec@1 46.875 (46.617) Prec@5 75.000 (77.076) Epoch: [34][2980/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0295 (2.0857) Prec@1 51.250 (46.616) Prec@5 76.875 (77.078) Epoch: [34][2990/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.1047 (2.0855) Prec@1 48.125 (46.623) Prec@5 77.500 (77.079) Epoch: [34][3000/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.1580 (2.0857) Prec@1 43.750 (46.619) Prec@5 73.125 (77.076) Epoch: [34][3010/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.3198 (2.0859) Prec@1 40.625 (46.614) Prec@5 73.750 (77.069) Epoch: [34][3020/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1114 (2.0859) Prec@1 50.625 (46.621) Prec@5 76.250 (77.067) Epoch: [34][3030/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 1.8049 (2.0861) Prec@1 53.125 (46.619) Prec@5 83.125 (77.065) Epoch: [34][3040/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.2752 (2.0861) Prec@1 45.000 (46.619) Prec@5 73.125 (77.065) Epoch: [34][3050/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.1776 (2.0863) Prec@1 46.250 (46.610) Prec@5 75.000 (77.061) Epoch: [34][3060/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 2.0448 (2.0862) Prec@1 44.375 (46.614) Prec@5 78.125 (77.063) Epoch: [34][3070/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 1.9326 (2.0862) Prec@1 55.000 (46.617) Prec@5 77.500 (77.064) Epoch: [34][3080/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 2.1447 (2.0863) Prec@1 43.750 (46.613) Prec@5 74.375 (77.064) Epoch: [34][3090/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.0696 (2.0864) Prec@1 53.750 (46.613) Prec@5 75.000 (77.061) Epoch: [34][3100/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.3839 (2.0865) Prec@1 45.000 (46.609) Prec@5 68.125 (77.059) Epoch: [34][3110/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0198 (2.0866) Prec@1 48.750 (46.608) Prec@5 75.625 (77.059) Epoch: [34][3120/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0039 (2.0863) Prec@1 46.875 (46.615) Prec@5 78.750 (77.064) Epoch: [34][3130/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.2306 (2.0865) Prec@1 47.500 (46.610) Prec@5 72.500 (77.061) Epoch: [34][3140/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1174 (2.0862) Prec@1 46.250 (46.616) Prec@5 78.125 (77.068) Epoch: [34][3150/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1289 (2.0861) Prec@1 44.375 (46.621) Prec@5 76.875 (77.068) Epoch: [34][3160/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1785 (2.0860) Prec@1 45.000 (46.623) Prec@5 73.750 (77.070) Epoch: [34][3170/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 2.1194 (2.0860) Prec@1 48.750 (46.623) Prec@5 78.750 (77.072) Epoch: [34][3180/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1243 (2.0860) Prec@1 44.375 (46.624) Prec@5 78.750 (77.073) Epoch: [34][3190/11272] Time 0.729 (0.797) Data 0.003 (0.002) Loss 2.1392 (2.0858) Prec@1 47.500 (46.628) Prec@5 75.625 (77.076) Epoch: [34][3200/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 2.1379 (2.0857) Prec@1 48.125 (46.631) Prec@5 75.625 (77.079) Epoch: [34][3210/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 1.9835 (2.0856) Prec@1 48.750 (46.635) Prec@5 78.125 (77.086) Epoch: [34][3220/11272] Time 0.909 (0.797) Data 0.002 (0.002) Loss 2.1191 (2.0856) Prec@1 46.875 (46.632) Prec@5 71.875 (77.081) Epoch: [34][3230/11272] Time 0.722 (0.796) Data 0.002 (0.002) Loss 2.1422 (2.0856) Prec@1 44.375 (46.634) Prec@5 73.750 (77.082) Epoch: [34][3240/11272] Time 0.762 (0.796) Data 0.001 (0.002) Loss 2.0683 (2.0855) Prec@1 53.125 (46.637) Prec@5 76.875 (77.080) Epoch: [34][3250/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 1.8150 (2.0855) Prec@1 55.625 (46.637) Prec@5 78.750 (77.079) Epoch: [34][3260/11272] Time 0.821 (0.797) Data 0.002 (0.002) Loss 2.0884 (2.0856) Prec@1 46.875 (46.631) Prec@5 78.125 (77.077) Epoch: [34][3270/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1013 (2.0857) Prec@1 45.000 (46.631) Prec@5 78.125 (77.077) Epoch: [34][3280/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 1.9627 (2.0857) Prec@1 46.250 (46.635) Prec@5 81.875 (77.080) Epoch: [34][3290/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.3371 (2.0859) Prec@1 39.375 (46.625) Prec@5 72.500 (77.077) Epoch: [34][3300/11272] Time 0.856 (0.797) Data 0.001 (0.002) Loss 2.2177 (2.0859) Prec@1 41.875 (46.625) Prec@5 76.875 (77.078) Epoch: [34][3310/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.2217 (2.0859) Prec@1 41.875 (46.625) Prec@5 76.875 (77.074) Epoch: [34][3320/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.0917 (2.0860) Prec@1 50.625 (46.625) Prec@5 77.500 (77.073) Epoch: [34][3330/11272] Time 0.868 (0.797) Data 0.001 (0.002) Loss 2.2486 (2.0860) Prec@1 44.375 (46.627) Prec@5 73.125 (77.074) Epoch: [34][3340/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.9761 (2.0859) Prec@1 51.250 (46.628) Prec@5 76.875 (77.073) Epoch: [34][3350/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0801 (2.0859) Prec@1 44.375 (46.624) Prec@5 76.875 (77.077) Epoch: [34][3360/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.0023 (2.0860) Prec@1 48.750 (46.625) Prec@5 76.250 (77.075) Epoch: [34][3370/11272] Time 0.890 (0.797) Data 0.002 (0.002) Loss 2.1640 (2.0861) Prec@1 43.750 (46.618) Prec@5 75.000 (77.073) Epoch: [34][3380/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.0299 (2.0862) Prec@1 49.375 (46.614) Prec@5 78.750 (77.073) Epoch: [34][3390/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0621 (2.0862) Prec@1 48.125 (46.615) Prec@5 77.500 (77.073) Epoch: [34][3400/11272] Time 0.891 (0.797) Data 0.001 (0.002) Loss 2.0503 (2.0862) Prec@1 40.625 (46.615) Prec@5 78.750 (77.074) Epoch: [34][3410/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.2790 (2.0862) Prec@1 40.625 (46.611) Prec@5 73.750 (77.075) Epoch: [34][3420/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.0523 (2.0862) Prec@1 46.875 (46.610) Prec@5 76.250 (77.072) Epoch: [34][3430/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0873 (2.0864) Prec@1 46.250 (46.603) Prec@5 78.125 (77.068) Epoch: [34][3440/11272] Time 0.812 (0.797) Data 0.001 (0.002) Loss 2.1812 (2.0864) Prec@1 46.250 (46.604) Prec@5 75.000 (77.068) Epoch: [34][3450/11272] Time 0.809 (0.797) Data 0.001 (0.002) Loss 1.9352 (2.0864) Prec@1 51.875 (46.604) Prec@5 79.375 (77.067) Epoch: [34][3460/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.9850 (2.0862) Prec@1 47.500 (46.611) Prec@5 82.500 (77.075) Epoch: [34][3470/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.1552 (2.0862) Prec@1 42.500 (46.612) Prec@5 76.875 (77.077) Epoch: [34][3480/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0380 (2.0861) Prec@1 49.375 (46.615) Prec@5 75.625 (77.077) Epoch: [34][3490/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2661 (2.0861) Prec@1 38.750 (46.611) Prec@5 76.250 (77.080) Epoch: [34][3500/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.1440 (2.0862) Prec@1 42.500 (46.611) Prec@5 78.125 (77.080) Epoch: [34][3510/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.2710 (2.0863) Prec@1 41.250 (46.607) Prec@5 74.375 (77.078) Epoch: [34][3520/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.0888 (2.0863) Prec@1 44.375 (46.608) Prec@5 75.625 (77.076) Epoch: [34][3530/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.3038 (2.0863) Prec@1 45.625 (46.609) Prec@5 75.000 (77.079) Epoch: [34][3540/11272] Time 0.710 (0.797) Data 0.002 (0.002) Loss 2.1078 (2.0861) Prec@1 47.500 (46.614) Prec@5 74.375 (77.079) Epoch: [34][3550/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.1403 (2.0861) Prec@1 41.875 (46.609) Prec@5 76.875 (77.078) Epoch: [34][3560/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.2012 (2.0863) Prec@1 46.875 (46.609) Prec@5 74.375 (77.074) Epoch: [34][3570/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.2443 (2.0863) Prec@1 40.000 (46.608) Prec@5 71.875 (77.071) Epoch: [34][3580/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.3659 (2.0865) Prec@1 43.125 (46.603) Prec@5 74.375 (77.068) Epoch: [34][3590/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.2211 (2.0868) Prec@1 43.750 (46.597) Prec@5 76.250 (77.066) Epoch: [34][3600/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 2.0475 (2.0869) Prec@1 44.375 (46.596) Prec@5 76.875 (77.064) Epoch: [34][3610/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.8114 (2.0868) Prec@1 51.250 (46.597) Prec@5 84.375 (77.068) Epoch: [34][3620/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 1.9626 (2.0871) Prec@1 48.125 (46.589) Prec@5 74.375 (77.058) Epoch: [34][3630/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.1422 (2.0873) Prec@1 48.750 (46.585) Prec@5 73.750 (77.054) Epoch: [34][3640/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.1886 (2.0874) Prec@1 41.875 (46.582) Prec@5 75.625 (77.056) Epoch: [34][3650/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9874 (2.0875) Prec@1 49.375 (46.580) Prec@5 78.750 (77.056) Epoch: [34][3660/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.8879 (2.0874) Prec@1 51.250 (46.582) Prec@5 76.250 (77.060) Epoch: [34][3670/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.4183 (2.0877) Prec@1 45.625 (46.576) Prec@5 73.125 (77.052) Epoch: [34][3680/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.8562 (2.0876) Prec@1 51.875 (46.578) Prec@5 79.375 (77.055) Epoch: [34][3690/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.3144 (2.0876) Prec@1 41.250 (46.579) Prec@5 75.000 (77.055) Epoch: [34][3700/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.4569 (2.0876) Prec@1 42.500 (46.577) Prec@5 68.750 (77.054) Epoch: [34][3710/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.0857 (2.0875) Prec@1 46.875 (46.579) Prec@5 77.500 (77.057) Epoch: [34][3720/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 1.9789 (2.0876) Prec@1 45.000 (46.573) Prec@5 83.750 (77.058) Epoch: [34][3730/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.0378 (2.0876) Prec@1 44.375 (46.571) Prec@5 81.250 (77.058) Epoch: [34][3740/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.9050 (2.0873) Prec@1 53.125 (46.578) Prec@5 79.375 (77.063) Epoch: [34][3750/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2594 (2.0873) Prec@1 41.250 (46.581) Prec@5 75.625 (77.063) Epoch: [34][3760/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 1.8669 (2.0872) Prec@1 51.250 (46.580) Prec@5 83.125 (77.066) Epoch: [34][3770/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0709 (2.0872) Prec@1 46.875 (46.580) Prec@5 77.500 (77.065) Epoch: [34][3780/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.1068 (2.0874) Prec@1 48.125 (46.575) Prec@5 73.750 (77.063) Epoch: [34][3790/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0233 (2.0874) Prec@1 48.125 (46.576) Prec@5 76.875 (77.062) Epoch: [34][3800/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9188 (2.0873) Prec@1 51.875 (46.579) Prec@5 76.875 (77.058) Epoch: [34][3810/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.0484 (2.0873) Prec@1 47.500 (46.581) Prec@5 76.875 (77.060) Epoch: [34][3820/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 2.3292 (2.0875) Prec@1 43.125 (46.575) Prec@5 73.750 (77.056) Epoch: [34][3830/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0918 (2.0875) Prec@1 47.500 (46.578) Prec@5 79.375 (77.057) Epoch: [34][3840/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.2458 (2.0876) Prec@1 38.750 (46.580) Prec@5 73.125 (77.056) Epoch: [34][3850/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 1.9924 (2.0877) Prec@1 49.375 (46.577) Prec@5 76.250 (77.052) Epoch: [34][3860/11272] Time 0.737 (0.797) Data 0.003 (0.002) Loss 2.0140 (2.0879) Prec@1 50.625 (46.574) Prec@5 78.125 (77.047) Epoch: [34][3870/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 1.8746 (2.0880) Prec@1 48.125 (46.575) Prec@5 82.500 (77.044) Epoch: [34][3880/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.1116 (2.0880) Prec@1 43.125 (46.575) Prec@5 81.875 (77.043) Epoch: [34][3890/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.1846 (2.0879) Prec@1 47.500 (46.575) Prec@5 75.625 (77.045) Epoch: [34][3900/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.4244 (2.0879) Prec@1 34.375 (46.575) Prec@5 70.625 (77.042) Epoch: [34][3910/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.2131 (2.0879) Prec@1 43.750 (46.573) Prec@5 74.375 (77.040) Epoch: [34][3920/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.8965 (2.0880) Prec@1 51.250 (46.567) Prec@5 78.750 (77.040) Epoch: [34][3930/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.9982 (2.0881) Prec@1 44.375 (46.563) Prec@5 81.250 (77.040) Epoch: [34][3940/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1255 (2.0882) Prec@1 48.125 (46.562) Prec@5 75.000 (77.037) Epoch: [34][3950/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.8983 (2.0881) Prec@1 48.750 (46.562) Prec@5 81.875 (77.041) Epoch: [34][3960/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 1.9463 (2.0880) Prec@1 47.500 (46.563) Prec@5 80.000 (77.040) Epoch: [34][3970/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9707 (2.0881) Prec@1 50.625 (46.563) Prec@5 79.375 (77.039) Epoch: [34][3980/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.1068 (2.0881) Prec@1 45.625 (46.562) Prec@5 73.750 (77.038) Epoch: [34][3990/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 2.1121 (2.0882) Prec@1 47.500 (46.557) Prec@5 78.750 (77.036) Epoch: [34][4000/11272] Time 0.861 (0.797) Data 0.002 (0.002) Loss 2.4288 (2.0883) Prec@1 38.125 (46.554) Prec@5 71.250 (77.036) Epoch: [34][4010/11272] Time 0.768 (0.797) Data 0.001 (0.002) Loss 1.8676 (2.0882) Prec@1 48.750 (46.557) Prec@5 83.125 (77.037) Epoch: [34][4020/11272] Time 0.798 (0.797) Data 0.002 (0.002) Loss 2.1461 (2.0884) Prec@1 42.500 (46.553) Prec@5 78.125 (77.035) Epoch: [34][4030/11272] Time 0.939 (0.797) Data 0.002 (0.002) Loss 2.0228 (2.0883) Prec@1 48.125 (46.550) Prec@5 79.375 (77.037) Epoch: [34][4040/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.0588 (2.0885) Prec@1 45.000 (46.548) Prec@5 80.000 (77.036) Epoch: [34][4050/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.0197 (2.0883) Prec@1 41.875 (46.551) Prec@5 78.750 (77.042) Epoch: [34][4060/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.2054 (2.0884) Prec@1 46.250 (46.550) Prec@5 76.250 (77.040) Epoch: [34][4070/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 2.1487 (2.0884) Prec@1 48.750 (46.556) Prec@5 80.625 (77.041) Epoch: [34][4080/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.2373 (2.0884) Prec@1 45.625 (46.557) Prec@5 75.000 (77.045) Epoch: [34][4090/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.0089 (2.0884) Prec@1 46.250 (46.554) Prec@5 78.125 (77.046) Epoch: [34][4100/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.9077 (2.0883) Prec@1 45.625 (46.552) Prec@5 82.500 (77.051) Epoch: [34][4110/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 1.8400 (2.0882) Prec@1 45.625 (46.552) Prec@5 83.125 (77.052) Epoch: [34][4120/11272] Time 0.724 (0.797) Data 0.003 (0.002) Loss 1.9083 (2.0883) Prec@1 50.625 (46.551) Prec@5 78.125 (77.052) Epoch: [34][4130/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.2393 (2.0883) Prec@1 45.625 (46.548) Prec@5 73.750 (77.051) Epoch: [34][4140/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.2324 (2.0884) Prec@1 45.625 (46.550) Prec@5 71.875 (77.049) Epoch: [34][4150/11272] Time 0.845 (0.797) Data 0.003 (0.002) Loss 1.9534 (2.0883) Prec@1 46.250 (46.552) Prec@5 77.500 (77.051) Epoch: [34][4160/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0082 (2.0882) Prec@1 46.875 (46.554) Prec@5 76.250 (77.049) Epoch: [34][4170/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1450 (2.0884) Prec@1 44.375 (46.552) Prec@5 77.500 (77.043) Epoch: [34][4180/11272] Time 0.892 (0.797) Data 0.002 (0.002) Loss 2.5205 (2.0883) Prec@1 42.500 (46.550) Prec@5 68.125 (77.044) Epoch: [34][4190/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.2637 (2.0882) Prec@1 36.875 (46.550) Prec@5 73.125 (77.045) Epoch: [34][4200/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.0485 (2.0881) Prec@1 45.625 (46.553) Prec@5 79.375 (77.047) Epoch: [34][4210/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2629 (2.0880) Prec@1 41.875 (46.557) Prec@5 73.750 (77.052) Epoch: [34][4220/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.2439 (2.0880) Prec@1 41.875 (46.557) Prec@5 73.750 (77.050) Epoch: [34][4230/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.6273 (2.0882) Prec@1 35.000 (46.555) Prec@5 72.500 (77.049) Epoch: [34][4240/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.8404 (2.0881) Prec@1 47.500 (46.555) Prec@5 83.750 (77.053) Epoch: [34][4250/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9484 (2.0879) Prec@1 50.625 (46.561) Prec@5 82.500 (77.056) Epoch: [34][4260/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2961 (2.0879) Prec@1 43.125 (46.561) Prec@5 72.500 (77.058) Epoch: [34][4270/11272] Time 0.753 (0.797) Data 0.001 (0.002) Loss 2.0531 (2.0880) Prec@1 51.250 (46.560) Prec@5 75.000 (77.056) Epoch: [34][4280/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.1684 (2.0881) Prec@1 45.000 (46.559) Prec@5 76.250 (77.058) Epoch: [34][4290/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.9882 (2.0879) Prec@1 45.000 (46.563) Prec@5 78.750 (77.059) Epoch: [34][4300/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.8338 (2.0879) Prec@1 53.750 (46.561) Prec@5 82.500 (77.061) Epoch: [34][4310/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.1092 (2.0881) Prec@1 45.000 (46.557) Prec@5 75.625 (77.061) Epoch: [34][4320/11272] Time 0.706 (0.797) Data 0.001 (0.002) Loss 2.0693 (2.0881) Prec@1 45.625 (46.555) Prec@5 80.000 (77.060) Epoch: [34][4330/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.2119 (2.0883) Prec@1 41.875 (46.548) Prec@5 74.375 (77.055) Epoch: [34][4340/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1859 (2.0884) Prec@1 46.250 (46.545) Prec@5 76.250 (77.054) Epoch: [34][4350/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1451 (2.0882) Prec@1 46.250 (46.550) Prec@5 80.625 (77.060) Epoch: [34][4360/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.0740 (2.0883) Prec@1 45.000 (46.547) Prec@5 80.625 (77.059) Epoch: [34][4370/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 1.9030 (2.0884) Prec@1 51.875 (46.546) Prec@5 79.375 (77.058) Epoch: [34][4380/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 2.0428 (2.0884) Prec@1 48.125 (46.543) Prec@5 78.125 (77.060) Epoch: [34][4390/11272] Time 0.783 (0.797) Data 0.002 (0.002) Loss 2.0029 (2.0884) Prec@1 47.500 (46.542) Prec@5 80.000 (77.058) Epoch: [34][4400/11272] Time 0.883 (0.797) Data 0.002 (0.002) Loss 2.1166 (2.0884) Prec@1 45.000 (46.545) Prec@5 80.000 (77.060) Epoch: [34][4410/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.9517 (2.0885) Prec@1 48.125 (46.544) Prec@5 79.375 (77.059) Epoch: [34][4420/11272] Time 0.748 (0.797) Data 0.001 (0.002) Loss 2.1010 (2.0886) Prec@1 46.250 (46.541) Prec@5 76.250 (77.060) Epoch: [34][4430/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3136 (2.0888) Prec@1 42.500 (46.536) Prec@5 75.625 (77.058) Epoch: [34][4440/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.1004 (2.0889) Prec@1 45.625 (46.534) Prec@5 78.750 (77.056) Epoch: [34][4450/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0542 (2.0889) Prec@1 46.250 (46.537) Prec@5 80.000 (77.058) Epoch: [34][4460/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1732 (2.0889) Prec@1 44.375 (46.536) Prec@5 75.625 (77.057) Epoch: [34][4470/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.0945 (2.0887) Prec@1 41.875 (46.538) Prec@5 78.125 (77.062) Epoch: [34][4480/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.0960 (2.0886) Prec@1 47.500 (46.537) Prec@5 75.625 (77.063) Epoch: [34][4490/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.0989 (2.0886) Prec@1 47.500 (46.541) Prec@5 74.375 (77.064) Epoch: [34][4500/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0636 (2.0885) Prec@1 48.125 (46.543) Prec@5 75.625 (77.061) Epoch: [34][4510/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9491 (2.0885) Prec@1 48.125 (46.546) Prec@5 80.000 (77.060) Epoch: [34][4520/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9831 (2.0886) Prec@1 50.000 (46.543) Prec@5 81.875 (77.058) Epoch: [34][4530/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.9558 (2.0886) Prec@1 52.500 (46.544) Prec@5 76.875 (77.054) Epoch: [34][4540/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.0451 (2.0887) Prec@1 46.875 (46.542) Prec@5 76.250 (77.053) Epoch: [34][4550/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9570 (2.0887) Prec@1 52.500 (46.541) Prec@5 81.250 (77.053) Epoch: [34][4560/11272] Time 0.909 (0.797) Data 0.002 (0.002) Loss 2.1677 (2.0888) Prec@1 48.750 (46.542) Prec@5 74.375 (77.053) Epoch: [34][4570/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.0514 (2.0888) Prec@1 47.500 (46.545) Prec@5 77.500 (77.052) Epoch: [34][4580/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.1089 (2.0889) Prec@1 49.375 (46.542) Prec@5 76.875 (77.048) Epoch: [34][4590/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.2162 (2.0889) Prec@1 44.375 (46.546) Prec@5 75.000 (77.048) Epoch: [34][4600/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9754 (2.0891) Prec@1 50.625 (46.543) Prec@5 84.375 (77.048) Epoch: [34][4610/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.0264 (2.0892) Prec@1 48.750 (46.543) Prec@5 73.750 (77.044) Epoch: [34][4620/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0699 (2.0894) Prec@1 49.375 (46.539) Prec@5 75.625 (77.040) Epoch: [34][4630/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0410 (2.0894) Prec@1 43.750 (46.539) Prec@5 78.125 (77.041) Epoch: [34][4640/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.2220 (2.0894) Prec@1 41.250 (46.537) Prec@5 72.500 (77.038) Epoch: [34][4650/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.1199 (2.0895) Prec@1 47.500 (46.538) Prec@5 78.125 (77.037) Epoch: [34][4660/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.3795 (2.0896) Prec@1 40.625 (46.539) Prec@5 73.750 (77.037) Epoch: [34][4670/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0111 (2.0895) Prec@1 45.000 (46.539) Prec@5 76.250 (77.038) Epoch: [34][4680/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.8490 (2.0895) Prec@1 52.500 (46.540) Prec@5 83.125 (77.037) Epoch: [34][4690/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.9255 (2.0895) Prec@1 51.250 (46.542) Prec@5 78.125 (77.037) Epoch: [34][4700/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.1426 (2.0895) Prec@1 42.500 (46.543) Prec@5 79.375 (77.039) Epoch: [34][4710/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 2.3194 (2.0896) Prec@1 41.250 (46.541) Prec@5 69.375 (77.038) Epoch: [34][4720/11272] Time 0.748 (0.796) Data 0.002 (0.002) Loss 2.2745 (2.0898) Prec@1 43.125 (46.540) Prec@5 79.375 (77.038) Epoch: [34][4730/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 2.0735 (2.0899) Prec@1 46.250 (46.538) Prec@5 76.875 (77.036) Epoch: [34][4740/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9702 (2.0899) Prec@1 50.625 (46.537) Prec@5 76.875 (77.035) Epoch: [34][4750/11272] Time 0.816 (0.797) Data 0.002 (0.002) Loss 2.0697 (2.0901) Prec@1 49.375 (46.536) Prec@5 75.625 (77.032) Epoch: [34][4760/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.2270 (2.0900) Prec@1 43.125 (46.535) Prec@5 76.875 (77.034) Epoch: [34][4770/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.2705 (2.0902) Prec@1 43.125 (46.533) Prec@5 73.125 (77.029) Epoch: [34][4780/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.9548 (2.0901) Prec@1 51.250 (46.536) Prec@5 80.000 (77.028) Epoch: [34][4790/11272] Time 0.753 (0.797) Data 0.003 (0.002) Loss 2.0456 (2.0900) Prec@1 48.750 (46.537) Prec@5 77.500 (77.028) Epoch: [34][4800/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 2.0267 (2.0900) Prec@1 45.000 (46.540) Prec@5 76.875 (77.027) Epoch: [34][4810/11272] Time 0.881 (0.797) Data 0.001 (0.002) Loss 2.2361 (2.0901) Prec@1 40.625 (46.540) Prec@5 72.500 (77.026) Epoch: [34][4820/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.2411 (2.0901) Prec@1 45.000 (46.539) Prec@5 73.750 (77.026) Epoch: [34][4830/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9241 (2.0901) Prec@1 53.750 (46.541) Prec@5 80.000 (77.027) Epoch: [34][4840/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1842 (2.0901) Prec@1 44.375 (46.539) Prec@5 78.750 (77.028) Epoch: [34][4850/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 2.3125 (2.0902) Prec@1 46.875 (46.539) Prec@5 70.625 (77.028) Epoch: [34][4860/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.9811 (2.0902) Prec@1 51.875 (46.541) Prec@5 76.875 (77.028) Epoch: [34][4870/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1856 (2.0903) Prec@1 45.000 (46.538) Prec@5 76.250 (77.024) Epoch: [34][4880/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.3343 (2.0903) Prec@1 36.250 (46.538) Prec@5 66.875 (77.023) Epoch: [34][4890/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1773 (2.0903) Prec@1 43.125 (46.536) Prec@5 77.500 (77.022) Epoch: [34][4900/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.1769 (2.0905) Prec@1 45.000 (46.533) Prec@5 76.250 (77.020) Epoch: [34][4910/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 1.8900 (2.0905) Prec@1 53.125 (46.530) Prec@5 80.625 (77.020) Epoch: [34][4920/11272] Time 0.816 (0.797) Data 0.002 (0.002) Loss 2.1593 (2.0906) Prec@1 51.875 (46.531) Prec@5 75.000 (77.020) Epoch: [34][4930/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.1097 (2.0905) Prec@1 45.000 (46.536) Prec@5 81.875 (77.021) Epoch: [34][4940/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.1628 (2.0908) Prec@1 47.500 (46.530) Prec@5 75.000 (77.014) Epoch: [34][4950/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9721 (2.0907) Prec@1 48.125 (46.533) Prec@5 81.250 (77.015) Epoch: [34][4960/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.8774 (2.0906) Prec@1 47.500 (46.533) Prec@5 82.500 (77.017) Epoch: [34][4970/11272] Time 0.830 (0.796) Data 0.001 (0.002) Loss 1.7850 (2.0906) Prec@1 56.250 (46.533) Prec@5 82.500 (77.016) Epoch: [34][4980/11272] Time 0.735 (0.796) Data 0.002 (0.002) Loss 1.8276 (2.0906) Prec@1 51.875 (46.533) Prec@5 81.875 (77.017) Epoch: [34][4990/11272] Time 0.728 (0.796) Data 0.002 (0.002) Loss 2.2314 (2.0905) Prec@1 44.375 (46.538) Prec@5 72.500 (77.016) Epoch: [34][5000/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 2.0702 (2.0905) Prec@1 46.250 (46.540) Prec@5 79.375 (77.015) Epoch: [34][5010/11272] Time 0.850 (0.796) Data 0.002 (0.002) Loss 2.4124 (2.0904) Prec@1 41.875 (46.542) Prec@5 75.625 (77.017) Epoch: [34][5020/11272] Time 0.775 (0.797) Data 0.002 (0.002) Loss 2.0277 (2.0905) Prec@1 49.375 (46.537) Prec@5 76.250 (77.013) Epoch: [34][5030/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.3484 (2.0906) Prec@1 42.500 (46.533) Prec@5 70.000 (77.011) Epoch: [34][5040/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.2137 (2.0906) Prec@1 46.250 (46.537) Prec@5 74.375 (77.012) Epoch: [34][5050/11272] Time 0.757 (0.797) Data 0.004 (0.002) Loss 2.0545 (2.0905) Prec@1 45.625 (46.536) Prec@5 77.500 (77.013) Epoch: [34][5060/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.1219 (2.0905) Prec@1 48.750 (46.538) Prec@5 77.500 (77.013) Epoch: [34][5070/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.2616 (2.0907) Prec@1 46.250 (46.536) Prec@5 71.250 (77.009) Epoch: [34][5080/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1051 (2.0905) Prec@1 42.500 (46.538) Prec@5 81.250 (77.013) Epoch: [34][5090/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9430 (2.0905) Prec@1 48.125 (46.539) Prec@5 78.125 (77.013) Epoch: [34][5100/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 1.9048 (2.0905) Prec@1 51.875 (46.542) Prec@5 82.500 (77.014) Epoch: [34][5110/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.9946 (2.0905) Prec@1 50.000 (46.539) Prec@5 76.875 (77.012) Epoch: [34][5120/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.9642 (2.0906) Prec@1 49.375 (46.536) Prec@5 81.875 (77.012) Epoch: [34][5130/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.1998 (2.0907) Prec@1 47.500 (46.535) Prec@5 76.875 (77.011) Epoch: [34][5140/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.1791 (2.0907) Prec@1 43.750 (46.534) Prec@5 76.250 (77.009) Epoch: [34][5150/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.0175 (2.0908) Prec@1 45.625 (46.534) Prec@5 75.625 (77.008) Epoch: [34][5160/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 1.8062 (2.0906) Prec@1 55.625 (46.538) Prec@5 83.125 (77.011) Epoch: [34][5170/11272] Time 0.810 (0.797) Data 0.002 (0.002) Loss 2.2259 (2.0906) Prec@1 47.500 (46.541) Prec@5 75.625 (77.012) Epoch: [34][5180/11272] Time 0.884 (0.797) Data 0.001 (0.002) Loss 1.9904 (2.0906) Prec@1 47.500 (46.540) Prec@5 78.125 (77.012) Epoch: [34][5190/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0522 (2.0906) Prec@1 50.625 (46.542) Prec@5 75.625 (77.009) Epoch: [34][5200/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 1.8986 (2.0904) Prec@1 46.875 (46.545) Prec@5 81.875 (77.012) Epoch: [34][5210/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.2132 (2.0905) Prec@1 43.125 (46.543) Prec@5 78.750 (77.008) Epoch: [34][5220/11272] Time 0.875 (0.797) Data 0.003 (0.002) Loss 2.3175 (2.0907) Prec@1 45.000 (46.540) Prec@5 70.000 (77.003) Epoch: [34][5230/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1035 (2.0906) Prec@1 49.375 (46.542) Prec@5 78.125 (77.002) Epoch: [34][5240/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.1525 (2.0906) Prec@1 47.500 (46.541) Prec@5 74.375 (77.000) Epoch: [34][5250/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.2726 (2.0907) Prec@1 38.750 (46.537) Prec@5 73.750 (76.998) Epoch: [34][5260/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9993 (2.0906) Prec@1 45.000 (46.540) Prec@5 78.750 (76.999) Epoch: [34][5270/11272] Time 0.810 (0.797) Data 0.001 (0.002) Loss 1.9850 (2.0906) Prec@1 50.000 (46.540) Prec@5 80.625 (77.000) Epoch: [34][5280/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1832 (2.0906) Prec@1 41.875 (46.538) Prec@5 73.125 (76.999) Epoch: [34][5290/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.1441 (2.0906) Prec@1 41.875 (46.538) Prec@5 80.000 (77.003) Epoch: [34][5300/11272] Time 0.921 (0.797) Data 0.002 (0.002) Loss 2.1877 (2.0905) Prec@1 45.000 (46.540) Prec@5 74.375 (77.003) Epoch: [34][5310/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.0565 (2.0904) Prec@1 42.500 (46.542) Prec@5 79.375 (77.008) Epoch: [34][5320/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.2334 (2.0904) Prec@1 40.625 (46.541) Prec@5 77.500 (77.008) Epoch: [34][5330/11272] Time 0.969 (0.797) Data 0.002 (0.002) Loss 2.1125 (2.0904) Prec@1 46.875 (46.541) Prec@5 76.250 (77.007) Epoch: [34][5340/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.2291 (2.0903) Prec@1 48.750 (46.542) Prec@5 73.125 (77.009) Epoch: [34][5350/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 1.8946 (2.0905) Prec@1 52.500 (46.540) Prec@5 81.875 (77.007) Epoch: [34][5360/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 1.8604 (2.0903) Prec@1 50.000 (46.541) Prec@5 84.375 (77.010) Epoch: [34][5370/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.1825 (2.0904) Prec@1 40.625 (46.539) Prec@5 74.375 (77.007) Epoch: [34][5380/11272] Time 0.896 (0.797) Data 0.001 (0.002) Loss 1.9924 (2.0902) Prec@1 48.750 (46.544) Prec@5 78.750 (77.009) Epoch: [34][5390/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.8370 (2.0903) Prec@1 55.000 (46.543) Prec@5 75.625 (77.008) Epoch: [34][5400/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.2192 (2.0903) Prec@1 43.125 (46.545) Prec@5 75.625 (77.008) Epoch: [34][5410/11272] Time 0.870 (0.797) Data 0.001 (0.002) Loss 2.3446 (2.0903) Prec@1 43.125 (46.547) Prec@5 74.375 (77.008) Epoch: [34][5420/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 1.7972 (2.0903) Prec@1 56.875 (46.550) Prec@5 81.875 (77.007) Epoch: [34][5430/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9465 (2.0903) Prec@1 49.375 (46.550) Prec@5 80.000 (77.007) Epoch: [34][5440/11272] Time 0.809 (0.797) Data 0.002 (0.002) Loss 1.9321 (2.0903) Prec@1 46.875 (46.549) Prec@5 83.125 (77.008) Epoch: [34][5450/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.0666 (2.0903) Prec@1 45.625 (46.551) Prec@5 79.375 (77.010) Epoch: [34][5460/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.0193 (2.0902) Prec@1 46.875 (46.553) Prec@5 75.000 (77.011) Epoch: [34][5470/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.1184 (2.0902) Prec@1 51.250 (46.553) Prec@5 76.250 (77.012) Epoch: [34][5480/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1748 (2.0902) Prec@1 45.000 (46.555) Prec@5 75.000 (77.014) Epoch: [34][5490/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 2.2316 (2.0903) Prec@1 46.250 (46.555) Prec@5 74.375 (77.013) Epoch: [34][5500/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0795 (2.0903) Prec@1 42.500 (46.551) Prec@5 75.625 (77.011) Epoch: [34][5510/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 2.0973 (2.0903) Prec@1 42.500 (46.554) Prec@5 78.125 (77.012) Epoch: [34][5520/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0762 (2.0904) Prec@1 45.000 (46.552) Prec@5 76.250 (77.009) Epoch: [34][5530/11272] Time 0.919 (0.797) Data 0.002 (0.002) Loss 1.9821 (2.0904) Prec@1 48.750 (46.551) Prec@5 77.500 (77.009) Epoch: [34][5540/11272] Time 0.711 (0.797) Data 0.001 (0.002) Loss 2.1149 (2.0903) Prec@1 44.375 (46.551) Prec@5 75.000 (77.009) Epoch: [34][5550/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1040 (2.0903) Prec@1 45.625 (46.553) Prec@5 76.875 (77.010) Epoch: [34][5560/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1215 (2.0903) Prec@1 46.250 (46.555) Prec@5 76.250 (77.011) Epoch: [34][5570/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0834 (2.0902) Prec@1 45.625 (46.558) Prec@5 73.750 (77.011) Epoch: [34][5580/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.8875 (2.0903) Prec@1 50.000 (46.554) Prec@5 78.750 (77.007) Epoch: [34][5590/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.9001 (2.0903) Prec@1 49.375 (46.554) Prec@5 78.125 (77.008) Epoch: [34][5600/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9079 (2.0901) Prec@1 48.125 (46.560) Prec@5 80.000 (77.013) Epoch: [34][5610/11272] Time 0.794 (0.797) Data 0.002 (0.002) Loss 2.1812 (2.0899) Prec@1 43.750 (46.563) Prec@5 75.625 (77.017) Epoch: [34][5620/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1512 (2.0898) Prec@1 48.750 (46.567) Prec@5 75.625 (77.020) Epoch: [34][5630/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.1231 (2.0898) Prec@1 42.500 (46.567) Prec@5 73.750 (77.020) Epoch: [34][5640/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9444 (2.0897) Prec@1 50.000 (46.567) Prec@5 80.625 (77.021) Epoch: [34][5650/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.3179 (2.0898) Prec@1 41.250 (46.565) Prec@5 73.125 (77.022) Epoch: [34][5660/11272] Time 0.759 (0.797) Data 0.001 (0.002) Loss 2.2030 (2.0899) Prec@1 45.625 (46.565) Prec@5 75.625 (77.021) Epoch: [34][5670/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.8956 (2.0898) Prec@1 51.875 (46.567) Prec@5 78.750 (77.022) Epoch: [34][5680/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 2.0408 (2.0898) Prec@1 41.875 (46.565) Prec@5 81.250 (77.026) Epoch: [34][5690/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.1581 (2.0898) Prec@1 45.000 (46.563) Prec@5 76.875 (77.024) Epoch: [34][5700/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3516 (2.0899) Prec@1 42.500 (46.562) Prec@5 68.750 (77.024) Epoch: [34][5710/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 2.0007 (2.0899) Prec@1 47.500 (46.562) Prec@5 75.625 (77.021) Epoch: [34][5720/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.0259 (2.0899) Prec@1 47.500 (46.560) Prec@5 80.000 (77.019) Epoch: [34][5730/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.5495 (2.0901) Prec@1 37.500 (46.557) Prec@5 66.250 (77.016) Epoch: [34][5740/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9784 (2.0900) Prec@1 48.750 (46.560) Prec@5 79.375 (77.018) Epoch: [34][5750/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.2276 (2.0901) Prec@1 46.875 (46.557) Prec@5 73.125 (77.015) Epoch: [34][5760/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0519 (2.0901) Prec@1 45.625 (46.557) Prec@5 79.375 (77.015) Epoch: [34][5770/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.3247 (2.0901) Prec@1 41.250 (46.556) Prec@5 75.625 (77.015) Epoch: [34][5780/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 1.9399 (2.0901) Prec@1 47.500 (46.556) Prec@5 83.125 (77.014) Epoch: [34][5790/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.1586 (2.0902) Prec@1 49.375 (46.554) Prec@5 76.875 (77.014) Epoch: [34][5800/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0044 (2.0902) Prec@1 45.625 (46.551) Prec@5 78.125 (77.012) Epoch: [34][5810/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.9467 (2.0902) Prec@1 53.750 (46.550) Prec@5 78.125 (77.012) Epoch: [34][5820/11272] Time 0.870 (0.797) Data 0.001 (0.002) Loss 2.0347 (2.0901) Prec@1 53.750 (46.553) Prec@5 81.250 (77.015) Epoch: [34][5830/11272] Time 0.826 (0.796) Data 0.002 (0.002) Loss 2.0468 (2.0901) Prec@1 46.875 (46.552) Prec@5 76.875 (77.015) Epoch: [34][5840/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1386 (2.0901) Prec@1 46.250 (46.551) Prec@5 73.125 (77.014) Epoch: [34][5850/11272] Time 0.810 (0.797) Data 0.002 (0.002) Loss 2.1423 (2.0901) Prec@1 48.125 (46.550) Prec@5 76.875 (77.015) Epoch: [34][5860/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.9647 (2.0903) Prec@1 48.125 (46.546) Prec@5 82.500 (77.013) Epoch: [34][5870/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 2.0996 (2.0902) Prec@1 53.750 (46.549) Prec@5 73.750 (77.012) Epoch: [34][5880/11272] Time 0.747 (0.796) Data 0.001 (0.002) Loss 2.1416 (2.0903) Prec@1 45.000 (46.547) Prec@5 75.625 (77.013) Epoch: [34][5890/11272] Time 0.814 (0.797) Data 0.002 (0.002) Loss 1.9704 (2.0902) Prec@1 54.375 (46.550) Prec@5 76.250 (77.014) Epoch: [34][5900/11272] Time 0.862 (0.796) Data 0.002 (0.002) Loss 2.2102 (2.0902) Prec@1 42.500 (46.552) Prec@5 70.000 (77.013) Epoch: [34][5910/11272] Time 0.752 (0.796) Data 0.001 (0.002) Loss 1.9401 (2.0902) Prec@1 54.375 (46.553) Prec@5 77.500 (77.013) Epoch: [34][5920/11272] Time 0.756 (0.796) Data 0.002 (0.002) Loss 2.1535 (2.0902) Prec@1 46.250 (46.554) Prec@5 74.375 (77.011) Epoch: [34][5930/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 2.1356 (2.0903) Prec@1 45.625 (46.552) Prec@5 75.625 (77.009) Epoch: [34][5940/11272] Time 0.818 (0.796) Data 0.002 (0.002) Loss 2.0254 (2.0903) Prec@1 43.125 (46.551) Prec@5 77.500 (77.010) Epoch: [34][5950/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 2.0743 (2.0903) Prec@1 48.125 (46.550) Prec@5 76.250 (77.009) Epoch: [34][5960/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 1.8146 (2.0903) Prec@1 53.125 (46.549) Prec@5 80.625 (77.007) Epoch: [34][5970/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 2.2376 (2.0903) Prec@1 41.875 (46.551) Prec@5 71.875 (77.006) Epoch: [34][5980/11272] Time 0.746 (0.796) Data 0.003 (0.002) Loss 2.1207 (2.0903) Prec@1 43.750 (46.553) Prec@5 76.875 (77.007) Epoch: [34][5990/11272] Time 0.728 (0.796) Data 0.002 (0.002) Loss 2.1247 (2.0903) Prec@1 48.125 (46.552) Prec@5 78.125 (77.008) Epoch: [34][6000/11272] Time 0.815 (0.796) Data 0.001 (0.002) Loss 2.2973 (2.0905) Prec@1 38.125 (46.547) Prec@5 75.000 (77.006) Epoch: [34][6010/11272] Time 0.881 (0.796) Data 0.002 (0.002) Loss 2.1468 (2.0905) Prec@1 42.500 (46.547) Prec@5 78.750 (77.008) Epoch: [34][6020/11272] Time 0.781 (0.796) Data 0.002 (0.002) Loss 2.0296 (2.0904) Prec@1 46.250 (46.547) Prec@5 76.875 (77.006) Epoch: [34][6030/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.9572 (2.0905) Prec@1 53.750 (46.545) Prec@5 82.500 (77.006) Epoch: [34][6040/11272] Time 0.895 (0.796) Data 0.002 (0.002) Loss 2.1673 (2.0903) Prec@1 48.125 (46.551) Prec@5 72.500 (77.008) Epoch: [34][6050/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 2.1333 (2.0903) Prec@1 39.375 (46.548) Prec@5 78.125 (77.008) Epoch: [34][6060/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 2.1614 (2.0903) Prec@1 48.750 (46.551) Prec@5 72.500 (77.009) Epoch: [34][6070/11272] Time 0.753 (0.796) Data 0.001 (0.002) Loss 2.0196 (2.0902) Prec@1 43.750 (46.551) Prec@5 76.250 (77.012) Epoch: [34][6080/11272] Time 0.830 (0.796) Data 0.002 (0.002) Loss 2.2398 (2.0905) Prec@1 42.500 (46.547) Prec@5 75.000 (77.009) Epoch: [34][6090/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 2.0435 (2.0905) Prec@1 46.875 (46.546) Prec@5 76.250 (77.008) Epoch: [34][6100/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 1.9972 (2.0905) Prec@1 48.125 (46.545) Prec@5 78.750 (77.007) Epoch: [34][6110/11272] Time 0.853 (0.796) Data 0.002 (0.002) Loss 1.9807 (2.0905) Prec@1 50.625 (46.546) Prec@5 79.375 (77.008) Epoch: [34][6120/11272] Time 0.833 (0.796) Data 0.001 (0.002) Loss 2.1805 (2.0904) Prec@1 47.500 (46.547) Prec@5 74.375 (77.010) Epoch: [34][6130/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 2.1899 (2.0905) Prec@1 46.250 (46.546) Prec@5 72.500 (77.008) Epoch: [34][6140/11272] Time 0.753 (0.796) Data 0.002 (0.002) Loss 2.0776 (2.0905) Prec@1 44.375 (46.545) Prec@5 75.625 (77.009) Epoch: [34][6150/11272] Time 0.839 (0.796) Data 0.002 (0.002) Loss 2.1510 (2.0904) Prec@1 45.000 (46.545) Prec@5 74.375 (77.010) Epoch: [34][6160/11272] Time 0.832 (0.796) Data 0.002 (0.002) Loss 2.1531 (2.0904) Prec@1 45.625 (46.547) Prec@5 75.625 (77.010) Epoch: [34][6170/11272] Time 0.747 (0.796) Data 0.002 (0.002) Loss 2.0429 (2.0904) Prec@1 47.500 (46.547) Prec@5 80.625 (77.010) Epoch: [34][6180/11272] Time 0.761 (0.796) Data 0.001 (0.002) Loss 2.2049 (2.0905) Prec@1 48.750 (46.544) Prec@5 75.000 (77.006) Epoch: [34][6190/11272] Time 0.862 (0.796) Data 0.001 (0.002) Loss 2.0370 (2.0905) Prec@1 48.125 (46.543) Prec@5 76.250 (77.005) Epoch: [34][6200/11272] Time 0.897 (0.796) Data 0.002 (0.002) Loss 1.9263 (2.0906) Prec@1 50.625 (46.542) Prec@5 81.875 (77.004) Epoch: [34][6210/11272] Time 0.781 (0.796) Data 0.002 (0.002) Loss 2.0879 (2.0906) Prec@1 46.250 (46.542) Prec@5 75.000 (77.003) Epoch: [34][6220/11272] Time 0.740 (0.796) Data 0.002 (0.002) Loss 2.1213 (2.0906) Prec@1 46.875 (46.544) Prec@5 79.375 (77.003) Epoch: [34][6230/11272] Time 0.817 (0.796) Data 0.002 (0.002) Loss 2.0795 (2.0907) Prec@1 41.875 (46.542) Prec@5 75.625 (77.003) Epoch: [34][6240/11272] Time 0.831 (0.796) Data 0.002 (0.002) Loss 2.0330 (2.0906) Prec@1 46.250 (46.541) Prec@5 78.750 (77.005) Epoch: [34][6250/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 2.1543 (2.0906) Prec@1 48.750 (46.544) Prec@5 79.375 (77.004) Epoch: [34][6260/11272] Time 0.877 (0.796) Data 0.001 (0.002) Loss 1.7631 (2.0904) Prec@1 51.250 (46.546) Prec@5 83.750 (77.008) Epoch: [34][6270/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0672 (2.0904) Prec@1 43.750 (46.546) Prec@5 76.250 (77.008) Epoch: [34][6280/11272] Time 0.726 (0.796) Data 0.002 (0.002) Loss 2.1816 (2.0905) Prec@1 45.000 (46.545) Prec@5 73.125 (77.004) Epoch: [34][6290/11272] Time 0.748 (0.796) Data 0.001 (0.002) Loss 1.8802 (2.0907) Prec@1 51.875 (46.543) Prec@5 81.875 (77.003) Epoch: [34][6300/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 2.2049 (2.0908) Prec@1 46.250 (46.543) Prec@5 74.375 (77.003) Epoch: [34][6310/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2231 (2.0908) Prec@1 45.000 (46.543) Prec@5 70.000 (77.002) Epoch: [34][6320/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.2598 (2.0909) Prec@1 43.750 (46.539) Prec@5 73.125 (77.000) Epoch: [34][6330/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.0043 (2.0909) Prec@1 50.000 (46.535) Prec@5 80.000 (76.998) Epoch: [34][6340/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0695 (2.0908) Prec@1 45.625 (46.536) Prec@5 80.000 (77.001) Epoch: [34][6350/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1823 (2.0907) Prec@1 43.750 (46.538) Prec@5 76.250 (77.003) Epoch: [34][6360/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.3692 (2.0908) Prec@1 39.375 (46.535) Prec@5 71.250 (77.001) Epoch: [34][6370/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.1357 (2.0908) Prec@1 44.375 (46.539) Prec@5 78.750 (77.001) Epoch: [34][6380/11272] Time 0.855 (0.797) Data 0.001 (0.002) Loss 2.0114 (2.0908) Prec@1 49.375 (46.540) Prec@5 79.375 (77.001) Epoch: [34][6390/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.0068 (2.0908) Prec@1 48.750 (46.542) Prec@5 78.125 (77.001) Epoch: [34][6400/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 1.9296 (2.0907) Prec@1 51.875 (46.545) Prec@5 79.375 (77.001) Epoch: [34][6410/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.2224 (2.0908) Prec@1 45.625 (46.540) Prec@5 75.000 (76.999) Epoch: [34][6420/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.1297 (2.0908) Prec@1 48.125 (46.539) Prec@5 76.250 (76.999) Epoch: [34][6430/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0938 (2.0909) Prec@1 45.000 (46.538) Prec@5 75.625 (76.999) Epoch: [34][6440/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.1093 (2.0908) Prec@1 48.750 (46.539) Prec@5 75.000 (77.000) Epoch: [34][6450/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.0371 (2.0908) Prec@1 47.500 (46.538) Prec@5 73.125 (76.998) Epoch: [34][6460/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 2.1383 (2.0908) Prec@1 44.375 (46.537) Prec@5 78.750 (76.999) Epoch: [34][6470/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1696 (2.0908) Prec@1 46.250 (46.538) Prec@5 74.375 (76.999) Epoch: [34][6480/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.2035 (2.0908) Prec@1 45.000 (46.537) Prec@5 73.125 (76.998) Epoch: [34][6490/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.9951 (2.0908) Prec@1 45.000 (46.537) Prec@5 80.625 (76.997) Epoch: [34][6500/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1603 (2.0908) Prec@1 43.750 (46.535) Prec@5 74.375 (76.997) Epoch: [34][6510/11272] Time 0.772 (0.797) Data 0.003 (0.002) Loss 1.9071 (2.0908) Prec@1 49.375 (46.534) Prec@5 82.500 (76.998) Epoch: [34][6520/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.0946 (2.0909) Prec@1 45.625 (46.532) Prec@5 76.250 (76.997) Epoch: [34][6530/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.8970 (2.0910) Prec@1 53.750 (46.531) Prec@5 82.500 (76.995) Epoch: [34][6540/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0089 (2.0911) Prec@1 43.125 (46.528) Prec@5 78.750 (76.994) Epoch: [34][6550/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1437 (2.0911) Prec@1 42.500 (46.529) Prec@5 75.000 (76.993) Epoch: [34][6560/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 2.4794 (2.0912) Prec@1 41.875 (46.528) Prec@5 69.375 (76.992) Epoch: [34][6570/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 2.2449 (2.0911) Prec@1 45.000 (46.529) Prec@5 73.750 (76.994) Epoch: [34][6580/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1491 (2.0910) Prec@1 46.250 (46.532) Prec@5 75.625 (76.995) Epoch: [34][6590/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.3152 (2.0910) Prec@1 37.500 (46.527) Prec@5 71.875 (76.995) Epoch: [34][6600/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 2.0058 (2.0910) Prec@1 46.250 (46.525) Prec@5 79.375 (76.994) Epoch: [34][6610/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.1766 (2.0910) Prec@1 46.875 (46.527) Prec@5 75.625 (76.995) Epoch: [34][6620/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.8951 (2.0910) Prec@1 52.500 (46.525) Prec@5 80.625 (76.996) Epoch: [34][6630/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1042 (2.0911) Prec@1 42.500 (46.523) Prec@5 80.625 (76.994) Epoch: [34][6640/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.0168 (2.0911) Prec@1 50.625 (46.522) Prec@5 78.125 (76.992) Epoch: [34][6650/11272] Time 0.735 (0.797) Data 0.004 (0.002) Loss 2.3292 (2.0912) Prec@1 43.750 (46.522) Prec@5 72.500 (76.987) Epoch: [34][6660/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 1.9125 (2.0912) Prec@1 51.875 (46.523) Prec@5 78.125 (76.989) Epoch: [34][6670/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.9955 (2.0910) Prec@1 44.375 (46.525) Prec@5 79.375 (76.992) Epoch: [34][6680/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 2.0308 (2.0910) Prec@1 48.750 (46.526) Prec@5 78.750 (76.992) Epoch: [34][6690/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0109 (2.0911) Prec@1 50.625 (46.525) Prec@5 77.500 (76.990) Epoch: [34][6700/11272] Time 0.757 (0.797) Data 0.001 (0.002) Loss 2.1404 (2.0910) Prec@1 45.000 (46.527) Prec@5 75.625 (76.993) Epoch: [34][6710/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.7014 (2.0910) Prec@1 53.125 (46.527) Prec@5 85.625 (76.993) Epoch: [34][6720/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.1516 (2.0909) Prec@1 43.125 (46.531) Prec@5 76.875 (76.994) Epoch: [34][6730/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.0580 (2.0909) Prec@1 50.625 (46.532) Prec@5 75.000 (76.994) Epoch: [34][6740/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.7576 (2.0908) Prec@1 51.875 (46.534) Prec@5 80.625 (76.997) Epoch: [34][6750/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9987 (2.0908) Prec@1 46.875 (46.533) Prec@5 81.250 (76.997) Epoch: [34][6760/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.1757 (2.0909) Prec@1 41.875 (46.531) Prec@5 72.500 (76.994) Epoch: [34][6770/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3980 (2.0909) Prec@1 44.375 (46.532) Prec@5 68.750 (76.995) Epoch: [34][6780/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 2.0968 (2.0909) Prec@1 44.375 (46.531) Prec@5 78.750 (76.994) Epoch: [34][6790/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.3275 (2.0911) Prec@1 41.875 (46.527) Prec@5 70.000 (76.992) Epoch: [34][6800/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 1.9694 (2.0909) Prec@1 50.000 (46.531) Prec@5 79.375 (76.996) Epoch: [34][6810/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.8506 (2.0910) Prec@1 51.875 (46.533) Prec@5 80.625 (76.994) Epoch: [34][6820/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.3595 (2.0911) Prec@1 37.500 (46.531) Prec@5 72.500 (76.991) Epoch: [34][6830/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.9546 (2.0911) Prec@1 48.125 (46.529) Prec@5 81.250 (76.991) Epoch: [34][6840/11272] Time 0.742 (0.796) Data 0.002 (0.002) Loss 2.1134 (2.0911) Prec@1 45.625 (46.531) Prec@5 75.625 (76.989) Epoch: [34][6850/11272] Time 0.799 (0.797) Data 0.002 (0.002) Loss 2.1599 (2.0911) Prec@1 48.750 (46.529) Prec@5 73.750 (76.989) Epoch: [34][6860/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 1.7784 (2.0911) Prec@1 53.750 (46.528) Prec@5 83.125 (76.988) Epoch: [34][6870/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.8274 (2.0912) Prec@1 53.125 (46.528) Prec@5 82.500 (76.988) Epoch: [34][6880/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 1.9561 (2.0912) Prec@1 49.375 (46.530) Prec@5 79.375 (76.988) Epoch: [34][6890/11272] Time 0.792 (0.797) Data 0.002 (0.002) Loss 1.8961 (2.0912) Prec@1 46.250 (46.528) Prec@5 80.000 (76.988) Epoch: [34][6900/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.0594 (2.0912) Prec@1 51.250 (46.528) Prec@5 78.125 (76.987) Epoch: [34][6910/11272] Time 0.736 (0.797) Data 0.003 (0.002) Loss 2.0658 (2.0912) Prec@1 43.125 (46.527) Prec@5 80.000 (76.988) Epoch: [34][6920/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3363 (2.0912) Prec@1 41.250 (46.526) Prec@5 76.250 (76.988) Epoch: [34][6930/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 1.8478 (2.0912) Prec@1 56.250 (46.526) Prec@5 78.750 (76.988) Epoch: [34][6940/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.2365 (2.0912) Prec@1 46.250 (46.527) Prec@5 76.875 (76.989) Epoch: [34][6950/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.8812 (2.0913) Prec@1 49.375 (46.524) Prec@5 78.750 (76.987) Epoch: [34][6960/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0399 (2.0915) Prec@1 47.500 (46.522) Prec@5 76.875 (76.984) Epoch: [34][6970/11272] Time 0.892 (0.797) Data 0.002 (0.002) Loss 2.1606 (2.0915) Prec@1 46.875 (46.523) Prec@5 74.375 (76.982) Epoch: [34][6980/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.1422 (2.0916) Prec@1 42.500 (46.522) Prec@5 77.500 (76.982) Epoch: [34][6990/11272] Time 0.763 (0.797) Data 0.001 (0.002) Loss 2.1115 (2.0915) Prec@1 47.500 (46.523) Prec@5 76.875 (76.981) Epoch: [34][7000/11272] Time 0.761 (0.797) Data 0.001 (0.002) Loss 2.0859 (2.0916) Prec@1 49.375 (46.520) Prec@5 77.500 (76.979) Epoch: [34][7010/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.2265 (2.0917) Prec@1 43.750 (46.519) Prec@5 73.750 (76.976) Epoch: [34][7020/11272] Time 0.826 (0.796) Data 0.002 (0.002) Loss 2.0693 (2.0917) Prec@1 46.875 (46.518) Prec@5 77.500 (76.976) Epoch: [34][7030/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.9020 (2.0917) Prec@1 53.125 (46.517) Prec@5 77.500 (76.978) Epoch: [34][7040/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 2.3179 (2.0917) Prec@1 40.625 (46.516) Prec@5 71.250 (76.977) Epoch: [34][7050/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 1.9590 (2.0917) Prec@1 53.750 (46.517) Prec@5 79.375 (76.977) Epoch: [34][7060/11272] Time 0.745 (0.796) Data 0.002 (0.002) Loss 1.9791 (2.0917) Prec@1 46.875 (46.515) Prec@5 79.375 (76.978) Epoch: [34][7070/11272] Time 0.743 (0.796) Data 0.001 (0.002) Loss 2.0100 (2.0918) Prec@1 53.125 (46.517) Prec@5 75.625 (76.978) Epoch: [34][7080/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 1.9155 (2.0918) Prec@1 52.500 (46.515) Prec@5 83.750 (76.979) Epoch: [34][7090/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0967 (2.0917) Prec@1 42.500 (46.515) Prec@5 75.625 (76.981) Epoch: [34][7100/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9876 (2.0916) Prec@1 46.250 (46.519) Prec@5 78.125 (76.983) Epoch: [34][7110/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.8401 (2.0916) Prec@1 53.125 (46.519) Prec@5 81.250 (76.982) Epoch: [34][7120/11272] Time 0.849 (0.797) Data 0.001 (0.002) Loss 2.0234 (2.0916) Prec@1 43.125 (46.520) Prec@5 80.625 (76.982) Epoch: [34][7130/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9790 (2.0916) Prec@1 44.375 (46.518) Prec@5 83.750 (76.983) Epoch: [34][7140/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.0280 (2.0915) Prec@1 48.125 (46.521) Prec@5 79.375 (76.984) Epoch: [34][7150/11272] Time 0.722 (0.797) Data 0.001 (0.002) Loss 1.7884 (2.0914) Prec@1 52.500 (46.522) Prec@5 80.625 (76.986) Epoch: [34][7160/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.0224 (2.0913) Prec@1 47.500 (46.523) Prec@5 76.250 (76.987) Epoch: [34][7170/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.3417 (2.0913) Prec@1 38.750 (46.522) Prec@5 71.250 (76.986) Epoch: [34][7180/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.0977 (2.0913) Prec@1 47.500 (46.523) Prec@5 80.000 (76.987) Epoch: [34][7190/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 1.9543 (2.0913) Prec@1 48.750 (46.524) Prec@5 77.500 (76.987) Epoch: [34][7200/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.8127 (2.0912) Prec@1 56.250 (46.526) Prec@5 82.500 (76.989) Epoch: [34][7210/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.9796 (2.0912) Prec@1 47.500 (46.526) Prec@5 77.500 (76.989) Epoch: [34][7220/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.0816 (2.0911) Prec@1 46.875 (46.526) Prec@5 72.500 (76.991) Epoch: [34][7230/11272] Time 0.829 (0.796) Data 0.002 (0.002) Loss 2.0281 (2.0912) Prec@1 52.500 (46.526) Prec@5 81.250 (76.989) Epoch: [34][7240/11272] Time 0.827 (0.796) Data 0.002 (0.002) Loss 2.2483 (2.0912) Prec@1 44.375 (46.523) Prec@5 72.500 (76.988) Epoch: [34][7250/11272] Time 0.740 (0.796) Data 0.001 (0.002) Loss 2.2441 (2.0913) Prec@1 38.125 (46.523) Prec@5 77.500 (76.989) Epoch: [34][7260/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 2.0422 (2.0913) Prec@1 46.250 (46.522) Prec@5 79.375 (76.987) Epoch: [34][7270/11272] Time 0.868 (0.796) Data 0.002 (0.002) Loss 1.8922 (2.0913) Prec@1 50.625 (46.522) Prec@5 78.750 (76.987) Epoch: [34][7280/11272] Time 0.836 (0.796) Data 0.002 (0.002) Loss 2.1536 (2.0913) Prec@1 44.375 (46.524) Prec@5 76.875 (76.988) Epoch: [34][7290/11272] Time 0.730 (0.796) Data 0.002 (0.002) Loss 2.0977 (2.0913) Prec@1 45.000 (46.525) Prec@5 76.250 (76.990) Epoch: [34][7300/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 2.2427 (2.0913) Prec@1 46.875 (46.525) Prec@5 73.750 (76.988) Epoch: [34][7310/11272] Time 0.808 (0.796) Data 0.001 (0.002) Loss 2.0691 (2.0914) Prec@1 50.000 (46.523) Prec@5 78.750 (76.988) Epoch: [34][7320/11272] Time 0.731 (0.796) Data 0.001 (0.002) Loss 2.0741 (2.0914) Prec@1 43.125 (46.520) Prec@5 79.375 (76.988) Epoch: [34][7330/11272] Time 0.731 (0.796) Data 0.001 (0.002) Loss 2.2965 (2.0915) Prec@1 42.500 (46.519) Prec@5 80.000 (76.987) Epoch: [34][7340/11272] Time 0.830 (0.796) Data 0.001 (0.002) Loss 2.4511 (2.0916) Prec@1 40.625 (46.517) Prec@5 68.750 (76.985) Epoch: [34][7350/11272] Time 0.861 (0.796) Data 0.002 (0.002) Loss 2.0116 (2.0916) Prec@1 47.500 (46.519) Prec@5 74.375 (76.986) Epoch: [34][7360/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.9614 (2.0917) Prec@1 45.000 (46.517) Prec@5 81.875 (76.985) Epoch: [34][7370/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 2.0038 (2.0917) Prec@1 50.000 (46.518) Prec@5 81.250 (76.987) Epoch: [34][7380/11272] Time 0.843 (0.796) Data 0.002 (0.002) Loss 2.3010 (2.0917) Prec@1 41.250 (46.516) Prec@5 73.750 (76.986) Epoch: [34][7390/11272] Time 0.839 (0.796) Data 0.002 (0.002) Loss 2.0875 (2.0917) Prec@1 45.625 (46.516) Prec@5 75.625 (76.987) Epoch: [34][7400/11272] Time 0.730 (0.796) Data 0.002 (0.002) Loss 1.9241 (2.0918) Prec@1 51.875 (46.514) Prec@5 80.625 (76.985) Epoch: [34][7410/11272] Time 0.719 (0.796) Data 0.001 (0.002) Loss 2.0653 (2.0919) Prec@1 49.375 (46.514) Prec@5 76.875 (76.985) Epoch: [34][7420/11272] Time 0.889 (0.796) Data 0.002 (0.002) Loss 1.9449 (2.0918) Prec@1 53.750 (46.515) Prec@5 76.875 (76.985) Epoch: [34][7430/11272] Time 0.830 (0.796) Data 0.001 (0.002) Loss 2.1185 (2.0920) Prec@1 47.500 (46.513) Prec@5 76.250 (76.982) Epoch: [34][7440/11272] Time 0.739 (0.796) Data 0.002 (0.002) Loss 2.2040 (2.0919) Prec@1 44.375 (46.514) Prec@5 75.625 (76.982) Epoch: [34][7450/11272] Time 0.860 (0.797) Data 0.001 (0.002) Loss 1.8951 (2.0919) Prec@1 54.375 (46.516) Prec@5 77.500 (76.982) Epoch: [34][7460/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.2729 (2.0921) Prec@1 45.625 (46.513) Prec@5 73.750 (76.979) Epoch: [34][7470/11272] Time 0.753 (0.797) Data 0.001 (0.002) Loss 1.9916 (2.0921) Prec@1 50.000 (46.513) Prec@5 78.125 (76.978) Epoch: [34][7480/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1459 (2.0920) Prec@1 44.375 (46.515) Prec@5 76.875 (76.981) Epoch: [34][7490/11272] Time 0.897 (0.797) Data 0.002 (0.002) Loss 2.1537 (2.0920) Prec@1 40.625 (46.514) Prec@5 78.125 (76.981) Epoch: [34][7500/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.8945 (2.0921) Prec@1 53.125 (46.513) Prec@5 75.625 (76.978) Epoch: [34][7510/11272] Time 0.732 (0.796) Data 0.001 (0.002) Loss 2.0422 (2.0922) Prec@1 48.125 (46.511) Prec@5 76.875 (76.976) Epoch: [34][7520/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0258 (2.0923) Prec@1 53.125 (46.510) Prec@5 76.875 (76.973) Epoch: [34][7530/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.1451 (2.0923) Prec@1 47.500 (46.510) Prec@5 72.500 (76.972) Epoch: [34][7540/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.1837 (2.0923) Prec@1 42.500 (46.509) Prec@5 73.125 (76.973) Epoch: [34][7550/11272] Time 0.748 (0.797) Data 0.001 (0.002) Loss 2.4162 (2.0922) Prec@1 45.000 (46.513) Prec@5 70.625 (76.973) Epoch: [34][7560/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.2011 (2.0923) Prec@1 43.750 (46.513) Prec@5 74.375 (76.973) Epoch: [34][7570/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.0745 (2.0924) Prec@1 50.000 (46.514) Prec@5 74.375 (76.971) Epoch: [34][7580/11272] Time 0.722 (0.797) Data 0.003 (0.002) Loss 2.2876 (2.0924) Prec@1 43.750 (46.513) Prec@5 73.750 (76.971) Epoch: [34][7590/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1232 (2.0925) Prec@1 49.375 (46.511) Prec@5 79.375 (76.969) Epoch: [34][7600/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.5328 (2.0925) Prec@1 41.250 (46.510) Prec@5 69.375 (76.968) Epoch: [34][7610/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0753 (2.0926) Prec@1 46.875 (46.510) Prec@5 81.875 (76.967) Epoch: [34][7620/11272] Time 0.777 (0.797) Data 0.002 (0.002) Loss 2.0914 (2.0926) Prec@1 46.250 (46.508) Prec@5 82.500 (76.966) Epoch: [34][7630/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.9176 (2.0926) Prec@1 50.625 (46.508) Prec@5 80.000 (76.966) Epoch: [34][7640/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.8049 (2.0925) Prec@1 53.750 (46.514) Prec@5 80.000 (76.968) Epoch: [34][7650/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.2772 (2.0925) Prec@1 45.000 (46.513) Prec@5 74.375 (76.967) Epoch: [34][7660/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 2.0195 (2.0925) Prec@1 46.250 (46.513) Prec@5 77.500 (76.967) Epoch: [34][7670/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0004 (2.0925) Prec@1 48.125 (46.512) Prec@5 80.000 (76.967) Epoch: [34][7680/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0700 (2.0925) Prec@1 47.500 (46.511) Prec@5 79.375 (76.967) Epoch: [34][7690/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.1292 (2.0926) Prec@1 46.250 (46.511) Prec@5 80.000 (76.967) Epoch: [34][7700/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0523 (2.0925) Prec@1 49.375 (46.514) Prec@5 78.125 (76.967) Epoch: [34][7710/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.1526 (2.0925) Prec@1 49.375 (46.514) Prec@5 75.000 (76.967) Epoch: [34][7720/11272] Time 0.915 (0.797) Data 0.002 (0.002) Loss 2.1664 (2.0924) Prec@1 48.125 (46.514) Prec@5 77.500 (76.969) Epoch: [34][7730/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3789 (2.0925) Prec@1 40.000 (46.514) Prec@5 73.750 (76.969) Epoch: [34][7740/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.9399 (2.0925) Prec@1 45.625 (46.516) Prec@5 77.500 (76.970) Epoch: [34][7750/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.5235 (2.0925) Prec@1 39.375 (46.514) Prec@5 71.875 (76.971) Epoch: [34][7760/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.2219 (2.0925) Prec@1 45.000 (46.514) Prec@5 77.500 (76.971) Epoch: [34][7770/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.0826 (2.0926) Prec@1 49.375 (46.513) Prec@5 76.250 (76.971) Epoch: [34][7780/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 1.9000 (2.0925) Prec@1 54.375 (46.514) Prec@5 81.875 (76.971) Epoch: [34][7790/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.1254 (2.0925) Prec@1 44.375 (46.517) Prec@5 75.000 (76.971) Epoch: [34][7800/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.0622 (2.0923) Prec@1 49.375 (46.520) Prec@5 76.250 (76.973) Epoch: [34][7810/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0656 (2.0923) Prec@1 47.500 (46.520) Prec@5 79.375 (76.974) Epoch: [34][7820/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1744 (2.0923) Prec@1 47.500 (46.519) Prec@5 76.250 (76.974) Epoch: [34][7830/11272] Time 0.967 (0.797) Data 0.002 (0.002) Loss 2.1156 (2.0924) Prec@1 42.500 (46.519) Prec@5 79.375 (76.974) Epoch: [34][7840/11272] Time 0.727 (0.797) Data 0.003 (0.002) Loss 2.1177 (2.0924) Prec@1 46.250 (46.519) Prec@5 78.750 (76.975) Epoch: [34][7850/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.9705 (2.0924) Prec@1 48.750 (46.521) Prec@5 78.125 (76.975) Epoch: [34][7860/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.1710 (2.0925) Prec@1 41.875 (46.519) Prec@5 76.250 (76.973) Epoch: [34][7870/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9431 (2.0923) Prec@1 50.000 (46.524) Prec@5 76.250 (76.977) Epoch: [34][7880/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 1.9579 (2.0922) Prec@1 49.375 (46.525) Prec@5 76.875 (76.979) Epoch: [34][7890/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.7761 (2.0922) Prec@1 55.000 (46.524) Prec@5 80.625 (76.978) Epoch: [34][7900/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0031 (2.0921) Prec@1 46.250 (46.525) Prec@5 81.875 (76.980) Epoch: [34][7910/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.0248 (2.0920) Prec@1 45.625 (46.527) Prec@5 77.500 (76.981) Epoch: [34][7920/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1034 (2.0920) Prec@1 46.875 (46.527) Prec@5 71.875 (76.981) Epoch: [34][7930/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 1.8166 (2.0920) Prec@1 51.875 (46.527) Prec@5 80.625 (76.980) Epoch: [34][7940/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 1.9219 (2.0919) Prec@1 48.750 (46.527) Prec@5 80.625 (76.984) Epoch: [34][7950/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0783 (2.0919) Prec@1 42.500 (46.525) Prec@5 78.750 (76.982) Epoch: [34][7960/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1296 (2.0919) Prec@1 48.750 (46.525) Prec@5 80.625 (76.986) Epoch: [34][7970/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9406 (2.0918) Prec@1 48.750 (46.525) Prec@5 78.750 (76.986) Epoch: [34][7980/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 1.9405 (2.0917) Prec@1 50.000 (46.528) Prec@5 82.500 (76.988) Epoch: [34][7990/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 1.9487 (2.0917) Prec@1 50.625 (46.528) Prec@5 80.000 (76.990) Epoch: [34][8000/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0738 (2.0916) Prec@1 46.250 (46.531) Prec@5 76.250 (76.990) Epoch: [34][8010/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.0722 (2.0916) Prec@1 50.000 (46.532) Prec@5 76.250 (76.990) Epoch: [34][8020/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.1233 (2.0916) Prec@1 48.750 (46.532) Prec@5 74.375 (76.989) Epoch: [34][8030/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2910 (2.0916) Prec@1 44.375 (46.534) Prec@5 70.625 (76.990) Epoch: [34][8040/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.3910 (2.0915) Prec@1 43.750 (46.536) Prec@5 71.875 (76.993) Epoch: [34][8050/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.7826 (2.0914) Prec@1 49.375 (46.538) Prec@5 83.125 (76.995) Epoch: [34][8060/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.2207 (2.0915) Prec@1 47.500 (46.537) Prec@5 73.750 (76.992) Epoch: [34][8070/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1007 (2.0916) Prec@1 40.000 (46.535) Prec@5 76.875 (76.991) Epoch: [34][8080/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2463 (2.0916) Prec@1 41.875 (46.535) Prec@5 71.875 (76.990) Epoch: [34][8090/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.2012 (2.0916) Prec@1 45.000 (46.535) Prec@5 75.625 (76.989) Epoch: [34][8100/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.0056 (2.0917) Prec@1 50.000 (46.534) Prec@5 75.625 (76.988) Epoch: [34][8110/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.3006 (2.0917) Prec@1 44.375 (46.533) Prec@5 71.250 (76.988) Epoch: [34][8120/11272] Time 0.860 (0.797) Data 0.001 (0.002) Loss 2.1847 (2.0917) Prec@1 44.375 (46.531) Prec@5 75.000 (76.988) Epoch: [34][8130/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9349 (2.0917) Prec@1 50.000 (46.531) Prec@5 80.625 (76.988) Epoch: [34][8140/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.0830 (2.0918) Prec@1 45.625 (46.527) Prec@5 77.500 (76.987) Epoch: [34][8150/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9238 (2.0919) Prec@1 52.500 (46.525) Prec@5 75.000 (76.985) Epoch: [34][8160/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 2.1904 (2.0918) Prec@1 45.000 (46.527) Prec@5 77.500 (76.986) Epoch: [34][8170/11272] Time 0.855 (0.797) Data 0.001 (0.002) Loss 2.2247 (2.0918) Prec@1 44.375 (46.528) Prec@5 72.500 (76.986) Epoch: [34][8180/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.2744 (2.0918) Prec@1 40.000 (46.527) Prec@5 71.875 (76.988) Epoch: [34][8190/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0413 (2.0918) Prec@1 49.375 (46.529) Prec@5 79.375 (76.989) Epoch: [34][8200/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.3067 (2.0918) Prec@1 44.375 (46.529) Prec@5 78.125 (76.989) Epoch: [34][8210/11272] Time 0.821 (0.797) Data 0.002 (0.002) Loss 2.3069 (2.0918) Prec@1 42.500 (46.529) Prec@5 70.000 (76.988) Epoch: [34][8220/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.0710 (2.0918) Prec@1 45.625 (46.531) Prec@5 75.625 (76.989) Epoch: [34][8230/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0164 (2.0919) Prec@1 51.250 (46.528) Prec@5 81.250 (76.988) Epoch: [34][8240/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.0825 (2.0920) Prec@1 41.250 (46.525) Prec@5 74.375 (76.986) Epoch: [34][8250/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.9764 (2.0919) Prec@1 45.000 (46.527) Prec@5 78.125 (76.987) Epoch: [34][8260/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.2021 (2.0919) Prec@1 41.875 (46.526) Prec@5 74.375 (76.987) Epoch: [34][8270/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.3386 (2.0919) Prec@1 41.250 (46.526) Prec@5 74.375 (76.987) Epoch: [34][8280/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9219 (2.0920) Prec@1 46.875 (46.525) Prec@5 77.500 (76.985) Epoch: [34][8290/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1640 (2.0920) Prec@1 42.500 (46.522) Prec@5 73.750 (76.984) Epoch: [34][8300/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.2059 (2.0921) Prec@1 44.375 (46.522) Prec@5 80.625 (76.983) Epoch: [34][8310/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.0926 (2.0921) Prec@1 43.125 (46.521) Prec@5 78.125 (76.982) Epoch: [34][8320/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.1707 (2.0921) Prec@1 45.000 (46.521) Prec@5 77.500 (76.981) Epoch: [34][8330/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8424 (2.0922) Prec@1 50.000 (46.519) Prec@5 78.750 (76.978) Epoch: [34][8340/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2088 (2.0922) Prec@1 45.000 (46.517) Prec@5 74.375 (76.979) Epoch: [34][8350/11272] Time 0.895 (0.797) Data 0.002 (0.002) Loss 1.8864 (2.0921) Prec@1 47.500 (46.519) Prec@5 80.000 (76.980) Epoch: [34][8360/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.3521 (2.0922) Prec@1 40.625 (46.520) Prec@5 71.250 (76.979) Epoch: [34][8370/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.2139 (2.0922) Prec@1 44.375 (46.519) Prec@5 73.750 (76.978) Epoch: [34][8380/11272] Time 0.904 (0.797) Data 0.002 (0.002) Loss 2.0582 (2.0922) Prec@1 46.875 (46.519) Prec@5 78.125 (76.977) Epoch: [34][8390/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.2060 (2.0923) Prec@1 43.750 (46.517) Prec@5 73.125 (76.975) Epoch: [34][8400/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 2.2729 (2.0923) Prec@1 44.375 (46.516) Prec@5 71.875 (76.975) Epoch: [34][8410/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.3148 (2.0924) Prec@1 39.375 (46.515) Prec@5 73.125 (76.975) Epoch: [34][8420/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0483 (2.0925) Prec@1 45.000 (46.512) Prec@5 75.000 (76.975) Epoch: [34][8430/11272] Time 0.815 (0.797) Data 0.002 (0.002) Loss 2.0636 (2.0925) Prec@1 46.875 (46.511) Prec@5 76.875 (76.974) Epoch: [34][8440/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2029 (2.0925) Prec@1 36.250 (46.509) Prec@5 80.000 (76.976) Epoch: [34][8450/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0025 (2.0926) Prec@1 48.750 (46.509) Prec@5 77.500 (76.975) Epoch: [34][8460/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.3133 (2.0926) Prec@1 43.125 (46.509) Prec@5 76.875 (76.975) Epoch: [34][8470/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.1904 (2.0925) Prec@1 46.250 (46.511) Prec@5 77.500 (76.978) Epoch: [34][8480/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.7729 (2.0925) Prec@1 51.250 (46.511) Prec@5 82.500 (76.979) Epoch: [34][8490/11272] Time 0.779 (0.797) Data 0.002 (0.002) Loss 2.2308 (2.0925) Prec@1 46.875 (46.511) Prec@5 75.000 (76.979) Epoch: [34][8500/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.7227 (2.0925) Prec@1 55.000 (46.511) Prec@5 83.125 (76.979) Epoch: [34][8510/11272] Time 0.731 (0.797) Data 0.003 (0.002) Loss 1.9866 (2.0925) Prec@1 47.500 (46.508) Prec@5 78.125 (76.977) Epoch: [34][8520/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.2454 (2.0926) Prec@1 43.125 (46.507) Prec@5 76.875 (76.977) Epoch: [34][8530/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0344 (2.0926) Prec@1 53.125 (46.506) Prec@5 78.750 (76.979) Epoch: [34][8540/11272] Time 0.811 (0.797) Data 0.001 (0.002) Loss 2.0488 (2.0926) Prec@1 46.875 (46.506) Prec@5 81.250 (76.978) Epoch: [34][8550/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.2063 (2.0926) Prec@1 38.125 (46.506) Prec@5 77.500 (76.978) Epoch: [34][8560/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0563 (2.0927) Prec@1 47.500 (46.503) Prec@5 77.500 (76.978) Epoch: [34][8570/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0268 (2.0926) Prec@1 45.625 (46.503) Prec@5 76.875 (76.978) Epoch: [34][8580/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9599 (2.0927) Prec@1 45.000 (46.504) Prec@5 80.625 (76.979) Epoch: [34][8590/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.8956 (2.0926) Prec@1 55.625 (46.506) Prec@5 77.500 (76.979) Epoch: [34][8600/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1654 (2.0926) Prec@1 47.500 (46.507) Prec@5 76.250 (76.979) Epoch: [34][8610/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0556 (2.0926) Prec@1 45.625 (46.506) Prec@5 78.750 (76.978) Epoch: [34][8620/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 2.1828 (2.0927) Prec@1 45.000 (46.505) Prec@5 75.000 (76.978) Epoch: [34][8630/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2072 (2.0926) Prec@1 42.500 (46.506) Prec@5 73.750 (76.979) Epoch: [34][8640/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1725 (2.0926) Prec@1 41.250 (46.505) Prec@5 75.000 (76.979) Epoch: [34][8650/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.1868 (2.0927) Prec@1 41.250 (46.501) Prec@5 73.750 (76.977) Epoch: [34][8660/11272] Time 0.785 (0.797) Data 0.002 (0.002) Loss 2.2040 (2.0927) Prec@1 43.125 (46.501) Prec@5 70.000 (76.976) Epoch: [34][8670/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 1.6788 (2.0926) Prec@1 58.750 (46.506) Prec@5 84.375 (76.978) Epoch: [34][8680/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.0725 (2.0926) Prec@1 45.000 (46.506) Prec@5 78.125 (76.978) Epoch: [34][8690/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.8547 (2.0926) Prec@1 51.875 (46.506) Prec@5 79.375 (76.978) Epoch: [34][8700/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.0608 (2.0926) Prec@1 43.750 (46.506) Prec@5 77.500 (76.979) Epoch: [34][8710/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.2938 (2.0927) Prec@1 46.250 (46.505) Prec@5 73.125 (76.978) Epoch: [34][8720/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.4083 (2.0927) Prec@1 39.375 (46.506) Prec@5 73.125 (76.979) Epoch: [34][8730/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.0194 (2.0927) Prec@1 45.000 (46.503) Prec@5 80.625 (76.979) Epoch: [34][8740/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2850 (2.0927) Prec@1 45.625 (46.503) Prec@5 74.375 (76.979) Epoch: [34][8750/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 1.9780 (2.0927) Prec@1 47.500 (46.503) Prec@5 80.625 (76.977) Epoch: [34][8760/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 2.1421 (2.0927) Prec@1 48.125 (46.503) Prec@5 78.750 (76.978) Epoch: [34][8770/11272] Time 0.739 (0.797) Data 0.003 (0.002) Loss 1.9983 (2.0928) Prec@1 45.625 (46.503) Prec@5 78.750 (76.976) Epoch: [34][8780/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.3011 (2.0928) Prec@1 40.625 (46.502) Prec@5 72.500 (76.975) Epoch: [34][8790/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0023 (2.0928) Prec@1 44.375 (46.501) Prec@5 78.750 (76.976) Epoch: [34][8800/11272] Time 0.898 (0.797) Data 0.002 (0.002) Loss 2.3628 (2.0929) Prec@1 42.500 (46.500) Prec@5 73.750 (76.974) Epoch: [34][8810/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9604 (2.0928) Prec@1 51.875 (46.501) Prec@5 77.500 (76.975) Epoch: [34][8820/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1354 (2.0928) Prec@1 44.375 (46.500) Prec@5 75.625 (76.976) Epoch: [34][8830/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9979 (2.0928) Prec@1 45.000 (46.500) Prec@5 82.500 (76.978) Epoch: [34][8840/11272] Time 0.849 (0.797) Data 0.001 (0.002) Loss 2.2441 (2.0928) Prec@1 43.750 (46.498) Prec@5 73.750 (76.977) Epoch: [34][8850/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1544 (2.0928) Prec@1 45.000 (46.500) Prec@5 76.250 (76.979) Epoch: [34][8860/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.4082 (2.0928) Prec@1 40.625 (46.498) Prec@5 68.750 (76.978) Epoch: [34][8870/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.0949 (2.0928) Prec@1 43.750 (46.497) Prec@5 75.000 (76.977) Epoch: [34][8880/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.9244 (2.0928) Prec@1 58.125 (46.498) Prec@5 79.375 (76.977) Epoch: [34][8890/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.1779 (2.0928) Prec@1 48.125 (46.498) Prec@5 75.625 (76.976) Epoch: [34][8900/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.4663 (2.0929) Prec@1 37.500 (46.497) Prec@5 68.750 (76.975) Epoch: [34][8910/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.4910 (2.0930) Prec@1 41.250 (46.496) Prec@5 66.250 (76.972) Epoch: [34][8920/11272] Time 0.756 (0.797) Data 0.001 (0.002) Loss 2.1073 (2.0930) Prec@1 48.125 (46.499) Prec@5 74.375 (76.973) Epoch: [34][8930/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2169 (2.0931) Prec@1 43.125 (46.495) Prec@5 73.750 (76.971) Epoch: [34][8940/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.8271 (2.0931) Prec@1 48.750 (46.493) Prec@5 79.375 (76.970) Epoch: [34][8950/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.9602 (2.0932) Prec@1 45.625 (46.491) Prec@5 80.625 (76.970) Epoch: [34][8960/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 1.9498 (2.0932) Prec@1 54.375 (46.490) Prec@5 76.250 (76.969) Epoch: [34][8970/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9581 (2.0932) Prec@1 51.875 (46.490) Prec@5 76.875 (76.969) Epoch: [34][8980/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 1.9040 (2.0931) Prec@1 51.250 (46.491) Prec@5 81.875 (76.971) Epoch: [34][8990/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.2087 (2.0931) Prec@1 48.750 (46.491) Prec@5 76.250 (76.971) Epoch: [34][9000/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.0324 (2.0932) Prec@1 48.125 (46.492) Prec@5 83.750 (76.971) Epoch: [34][9010/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9926 (2.0931) Prec@1 43.750 (46.491) Prec@5 80.000 (76.971) Epoch: [34][9020/11272] Time 0.827 (0.797) Data 0.003 (0.002) Loss 1.7342 (2.0931) Prec@1 53.750 (46.492) Prec@5 83.125 (76.971) Epoch: [34][9030/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 2.1314 (2.0931) Prec@1 47.500 (46.491) Prec@5 74.375 (76.971) Epoch: [34][9040/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 1.9811 (2.0930) Prec@1 48.750 (46.492) Prec@5 76.875 (76.972) Epoch: [34][9050/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.4382 (2.0930) Prec@1 38.125 (46.492) Prec@5 71.875 (76.973) Epoch: [34][9060/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0946 (2.0931) Prec@1 46.250 (46.492) Prec@5 78.750 (76.972) Epoch: [34][9070/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.2349 (2.0931) Prec@1 46.250 (46.491) Prec@5 72.500 (76.972) Epoch: [34][9080/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.0871 (2.0931) Prec@1 50.000 (46.491) Prec@5 75.625 (76.972) Epoch: [34][9090/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0100 (2.0930) Prec@1 46.250 (46.492) Prec@5 77.500 (76.972) Epoch: [34][9100/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 2.1641 (2.0930) Prec@1 45.625 (46.492) Prec@5 74.375 (76.974) Epoch: [34][9110/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0763 (2.0929) Prec@1 44.375 (46.491) Prec@5 76.875 (76.976) Epoch: [34][9120/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2341 (2.0930) Prec@1 48.750 (46.492) Prec@5 73.125 (76.975) Epoch: [34][9130/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 2.2655 (2.0931) Prec@1 40.000 (46.488) Prec@5 72.500 (76.971) Epoch: [34][9140/11272] Time 0.813 (0.797) Data 0.001 (0.002) Loss 2.1351 (2.0932) Prec@1 43.750 (46.487) Prec@5 75.625 (76.968) Epoch: [34][9150/11272] Time 0.782 (0.797) Data 0.002 (0.002) Loss 2.0866 (2.0933) Prec@1 48.125 (46.485) Prec@5 78.750 (76.967) Epoch: [34][9160/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1214 (2.0934) Prec@1 41.250 (46.481) Prec@5 80.625 (76.966) Epoch: [34][9170/11272] Time 0.896 (0.797) Data 0.002 (0.002) Loss 2.2724 (2.0934) Prec@1 41.250 (46.482) Prec@5 71.875 (76.966) Epoch: [34][9180/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 2.0596 (2.0933) Prec@1 48.750 (46.483) Prec@5 76.875 (76.968) Epoch: [34][9190/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.0117 (2.0933) Prec@1 51.250 (46.481) Prec@5 76.875 (76.967) Epoch: [34][9200/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.9606 (2.0933) Prec@1 51.250 (46.480) Prec@5 77.500 (76.968) Epoch: [34][9210/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.2866 (2.0934) Prec@1 41.875 (46.477) Prec@5 70.625 (76.967) Epoch: [34][9220/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.2027 (2.0935) Prec@1 42.500 (46.476) Prec@5 75.000 (76.965) Epoch: [34][9230/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.1729 (2.0935) Prec@1 53.750 (46.476) Prec@5 74.375 (76.964) Epoch: [34][9240/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.8502 (2.0933) Prec@1 49.375 (46.479) Prec@5 81.250 (76.967) Epoch: [34][9250/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0452 (2.0933) Prec@1 45.625 (46.480) Prec@5 78.125 (76.967) Epoch: [34][9260/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 2.4310 (2.0934) Prec@1 38.125 (46.479) Prec@5 71.875 (76.966) Epoch: [34][9270/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.1186 (2.0934) Prec@1 47.500 (46.478) Prec@5 77.500 (76.965) Epoch: [34][9280/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0104 (2.0935) Prec@1 47.500 (46.476) Prec@5 79.375 (76.964) Epoch: [34][9290/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1049 (2.0935) Prec@1 44.375 (46.477) Prec@5 75.000 (76.964) Epoch: [34][9300/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9659 (2.0935) Prec@1 49.375 (46.479) Prec@5 80.625 (76.965) Epoch: [34][9310/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 1.8522 (2.0935) Prec@1 52.500 (46.480) Prec@5 80.000 (76.966) Epoch: [34][9320/11272] Time 0.862 (0.797) Data 0.001 (0.002) Loss 2.1071 (2.0935) Prec@1 45.000 (46.479) Prec@5 76.875 (76.965) Epoch: [34][9330/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 2.0029 (2.0936) Prec@1 48.125 (46.477) Prec@5 79.375 (76.964) Epoch: [34][9340/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1408 (2.0936) Prec@1 47.500 (46.478) Prec@5 77.500 (76.965) Epoch: [34][9350/11272] Time 0.856 (0.797) Data 0.001 (0.002) Loss 2.0455 (2.0936) Prec@1 50.000 (46.480) Prec@5 76.250 (76.963) Epoch: [34][9360/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 2.0241 (2.0935) Prec@1 49.375 (46.483) Prec@5 75.000 (76.965) Epoch: [34][9370/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1756 (2.0936) Prec@1 46.250 (46.483) Prec@5 76.250 (76.963) Epoch: [34][9380/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0862 (2.0935) Prec@1 46.250 (46.483) Prec@5 76.875 (76.963) Epoch: [34][9390/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 2.2797 (2.0935) Prec@1 44.375 (46.483) Prec@5 71.875 (76.962) Epoch: [34][9400/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.8486 (2.0936) Prec@1 50.625 (46.480) Prec@5 83.750 (76.961) Epoch: [34][9410/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 2.0687 (2.0936) Prec@1 47.500 (46.479) Prec@5 76.875 (76.960) Epoch: [34][9420/11272] Time 0.786 (0.797) Data 0.001 (0.002) Loss 2.0231 (2.0936) Prec@1 43.750 (46.478) Prec@5 80.000 (76.962) Epoch: [34][9430/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.9886 (2.0935) Prec@1 47.500 (46.479) Prec@5 78.750 (76.962) Epoch: [34][9440/11272] Time 0.785 (0.797) Data 0.003 (0.002) Loss 1.9240 (2.0936) Prec@1 46.875 (46.478) Prec@5 81.250 (76.962) Epoch: [34][9450/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0110 (2.0936) Prec@1 48.750 (46.477) Prec@5 78.750 (76.961) Epoch: [34][9460/11272] Time 0.879 (0.797) Data 0.001 (0.002) Loss 1.9456 (2.0935) Prec@1 48.125 (46.479) Prec@5 81.875 (76.964) Epoch: [34][9470/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.2356 (2.0934) Prec@1 49.375 (46.480) Prec@5 68.750 (76.964) Epoch: [34][9480/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.3706 (2.0934) Prec@1 46.875 (46.480) Prec@5 68.750 (76.963) Epoch: [34][9490/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.4575 (2.0934) Prec@1 40.000 (46.479) Prec@5 72.500 (76.963) Epoch: [34][9500/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.0565 (2.0934) Prec@1 49.375 (46.481) Prec@5 79.375 (76.966) Epoch: [34][9510/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.0111 (2.0934) Prec@1 46.250 (46.480) Prec@5 78.750 (76.966) Epoch: [34][9520/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 1.8622 (2.0934) Prec@1 53.750 (46.479) Prec@5 79.375 (76.965) Epoch: [34][9530/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.1104 (2.0934) Prec@1 50.625 (46.480) Prec@5 73.125 (76.963) Epoch: [34][9540/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.1793 (2.0933) Prec@1 42.500 (46.481) Prec@5 72.500 (76.963) Epoch: [34][9550/11272] Time 0.823 (0.797) Data 0.002 (0.002) Loss 2.0078 (2.0934) Prec@1 50.625 (46.479) Prec@5 74.375 (76.963) Epoch: [34][9560/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.3339 (2.0934) Prec@1 43.125 (46.479) Prec@5 75.000 (76.962) Epoch: [34][9570/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0424 (2.0934) Prec@1 41.875 (46.479) Prec@5 78.125 (76.962) Epoch: [34][9580/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 1.9482 (2.0934) Prec@1 50.625 (46.479) Prec@5 79.375 (76.961) Epoch: [34][9590/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.9457 (2.0934) Prec@1 50.000 (46.479) Prec@5 78.125 (76.961) Epoch: [34][9600/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.1318 (2.0934) Prec@1 46.875 (46.478) Prec@5 73.125 (76.961) Epoch: [34][9610/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 2.1286 (2.0935) Prec@1 50.000 (46.478) Prec@5 79.375 (76.962) Epoch: [34][9620/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 1.9658 (2.0935) Prec@1 51.875 (46.479) Prec@5 75.625 (76.962) Epoch: [34][9630/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 1.9996 (2.0934) Prec@1 45.000 (46.482) Prec@5 80.000 (76.962) Epoch: [34][9640/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1257 (2.0934) Prec@1 45.625 (46.481) Prec@5 76.875 (76.962) Epoch: [34][9650/11272] Time 0.812 (0.797) Data 0.001 (0.002) Loss 1.9561 (2.0934) Prec@1 53.125 (46.479) Prec@5 78.125 (76.961) Epoch: [34][9660/11272] Time 0.916 (0.797) Data 0.002 (0.002) Loss 2.2293 (2.0934) Prec@1 41.875 (46.478) Prec@5 75.625 (76.961) Epoch: [34][9670/11272] Time 0.784 (0.797) Data 0.001 (0.002) Loss 1.9815 (2.0935) Prec@1 50.000 (46.477) Prec@5 77.500 (76.959) Epoch: [34][9680/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.0310 (2.0935) Prec@1 49.375 (46.477) Prec@5 77.500 (76.959) Epoch: [34][9690/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.2328 (2.0935) Prec@1 39.375 (46.475) Prec@5 75.000 (76.958) Epoch: [34][9700/11272] Time 0.756 (0.797) Data 0.003 (0.002) Loss 2.1269 (2.0935) Prec@1 45.625 (46.474) Prec@5 75.625 (76.959) Epoch: [34][9710/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 1.9838 (2.0935) Prec@1 49.375 (46.475) Prec@5 76.875 (76.959) Epoch: [34][9720/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.4346 (2.0935) Prec@1 36.875 (46.476) Prec@5 69.375 (76.958) Epoch: [34][9730/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.9617 (2.0935) Prec@1 48.750 (46.474) Prec@5 78.750 (76.957) Epoch: [34][9740/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.0904 (2.0936) Prec@1 46.875 (46.474) Prec@5 79.375 (76.958) Epoch: [34][9750/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 1.9934 (2.0935) Prec@1 50.625 (46.477) Prec@5 78.750 (76.960) Epoch: [34][9760/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.0323 (2.0935) Prec@1 44.375 (46.476) Prec@5 79.375 (76.960) Epoch: [34][9770/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.9943 (2.0935) Prec@1 45.625 (46.475) Prec@5 80.000 (76.960) Epoch: [34][9780/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 2.0792 (2.0936) Prec@1 43.750 (46.472) Prec@5 78.125 (76.960) Epoch: [34][9790/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.1135 (2.0936) Prec@1 48.750 (46.471) Prec@5 76.875 (76.958) Epoch: [34][9800/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.8221 (2.0937) Prec@1 46.250 (46.470) Prec@5 83.750 (76.959) Epoch: [34][9810/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9986 (2.0936) Prec@1 48.750 (46.472) Prec@5 80.000 (76.961) Epoch: [34][9820/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9427 (2.0935) Prec@1 48.750 (46.472) Prec@5 83.125 (76.960) Epoch: [34][9830/11272] Time 0.823 (0.797) Data 0.002 (0.002) Loss 2.1967 (2.0936) Prec@1 41.250 (46.471) Prec@5 76.875 (76.960) Epoch: [34][9840/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1585 (2.0936) Prec@1 50.625 (46.472) Prec@5 73.750 (76.959) Epoch: [34][9850/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.9385 (2.0936) Prec@1 50.625 (46.472) Prec@5 76.875 (76.958) Epoch: [34][9860/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1645 (2.0937) Prec@1 45.625 (46.470) Prec@5 78.750 (76.958) Epoch: [34][9870/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 2.0461 (2.0937) Prec@1 46.875 (46.471) Prec@5 78.750 (76.957) Epoch: [34][9880/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.7054 (2.0936) Prec@1 52.500 (46.471) Prec@5 84.375 (76.957) Epoch: [34][9890/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.2468 (2.0937) Prec@1 45.625 (46.470) Prec@5 76.250 (76.956) Epoch: [34][9900/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0556 (2.0938) Prec@1 45.625 (46.471) Prec@5 78.125 (76.955) Epoch: [34][9910/11272] Time 0.851 (0.796) Data 0.001 (0.002) Loss 2.0750 (2.0938) Prec@1 50.000 (46.471) Prec@5 75.625 (76.953) Epoch: [34][9920/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 2.2777 (2.0938) Prec@1 43.125 (46.471) Prec@5 74.375 (76.953) Epoch: [34][9930/11272] Time 0.722 (0.796) Data 0.002 (0.002) Loss 1.9277 (2.0939) Prec@1 50.000 (46.470) Prec@5 81.875 (76.951) Epoch: [34][9940/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 2.0446 (2.0939) Prec@1 50.000 (46.470) Prec@5 78.750 (76.951) Epoch: [34][9950/11272] Time 0.854 (0.796) Data 0.002 (0.002) Loss 1.9631 (2.0938) Prec@1 51.875 (46.471) Prec@5 77.500 (76.950) Epoch: [34][9960/11272] Time 0.824 (0.796) Data 0.002 (0.002) Loss 2.1009 (2.0938) Prec@1 50.625 (46.472) Prec@5 73.125 (76.952) Epoch: [34][9970/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 1.7521 (2.0937) Prec@1 51.250 (46.473) Prec@5 82.500 (76.952) Epoch: [34][9980/11272] Time 0.886 (0.796) Data 0.002 (0.002) Loss 1.9795 (2.0937) Prec@1 47.500 (46.473) Prec@5 82.500 (76.952) Epoch: [34][9990/11272] Time 0.809 (0.796) Data 0.002 (0.002) Loss 1.9988 (2.0938) Prec@1 47.500 (46.473) Prec@5 80.000 (76.952) Epoch: [34][10000/11272] Time 0.745 (0.796) Data 0.002 (0.002) Loss 2.1190 (2.0938) Prec@1 48.125 (46.472) Prec@5 78.125 (76.950) Epoch: [34][10010/11272] Time 0.704 (0.796) Data 0.001 (0.002) Loss 2.2868 (2.0939) Prec@1 46.250 (46.470) Prec@5 76.250 (76.950) Epoch: [34][10020/11272] Time 0.853 (0.796) Data 0.002 (0.002) Loss 2.2396 (2.0939) Prec@1 41.250 (46.469) Prec@5 73.750 (76.951) Epoch: [34][10030/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 1.9043 (2.0940) Prec@1 48.750 (46.469) Prec@5 80.625 (76.950) Epoch: [34][10040/11272] Time 0.749 (0.796) Data 0.002 (0.002) Loss 1.9402 (2.0940) Prec@1 53.750 (46.470) Prec@5 78.125 (76.948) Epoch: [34][10050/11272] Time 0.731 (0.796) Data 0.001 (0.002) Loss 2.0234 (2.0940) Prec@1 43.750 (46.468) Prec@5 78.750 (76.948) Epoch: [34][10060/11272] Time 0.850 (0.796) Data 0.002 (0.002) Loss 1.9877 (2.0940) Prec@1 42.500 (46.468) Prec@5 76.875 (76.948) Epoch: [34][10070/11272] Time 0.875 (0.796) Data 0.002 (0.002) Loss 2.0086 (2.0940) Prec@1 51.875 (46.469) Prec@5 76.875 (76.949) Epoch: [34][10080/11272] Time 0.755 (0.796) Data 0.001 (0.002) Loss 1.9239 (2.0940) Prec@1 50.625 (46.470) Prec@5 80.000 (76.950) Epoch: [34][10090/11272] Time 0.740 (0.796) Data 0.001 (0.002) Loss 2.2552 (2.0940) Prec@1 43.125 (46.470) Prec@5 72.500 (76.950) Epoch: [34][10100/11272] Time 0.857 (0.796) Data 0.002 (0.002) Loss 2.1582 (2.0940) Prec@1 47.500 (46.470) Prec@5 77.500 (76.950) Epoch: [34][10110/11272] Time 0.741 (0.796) Data 0.001 (0.002) Loss 2.1583 (2.0940) Prec@1 45.625 (46.469) Prec@5 77.500 (76.951) Epoch: [34][10120/11272] Time 0.750 (0.796) Data 0.002 (0.002) Loss 2.3201 (2.0940) Prec@1 42.500 (46.468) Prec@5 68.125 (76.950) Epoch: [34][10130/11272] Time 0.846 (0.796) Data 0.001 (0.002) Loss 2.2070 (2.0940) Prec@1 46.250 (46.468) Prec@5 73.125 (76.949) Epoch: [34][10140/11272] Time 0.834 (0.796) Data 0.002 (0.002) Loss 1.9472 (2.0941) Prec@1 52.500 (46.467) Prec@5 78.125 (76.950) Epoch: [34][10150/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 2.1255 (2.0940) Prec@1 48.125 (46.468) Prec@5 74.375 (76.951) Epoch: [34][10160/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 2.1679 (2.0941) Prec@1 46.250 (46.467) Prec@5 75.000 (76.951) Epoch: [34][10170/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 2.3005 (2.0940) Prec@1 43.750 (46.468) Prec@5 72.500 (76.951) Epoch: [34][10180/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 2.3022 (2.0940) Prec@1 41.875 (46.466) Prec@5 75.625 (76.952) Epoch: [34][10190/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 2.3233 (2.0941) Prec@1 42.500 (46.466) Prec@5 73.125 (76.951) Epoch: [34][10200/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 2.0687 (2.0942) Prec@1 48.125 (46.466) Prec@5 77.500 (76.950) Epoch: [34][10210/11272] Time 0.926 (0.796) Data 0.002 (0.002) Loss 2.0300 (2.0942) Prec@1 42.500 (46.465) Prec@5 80.625 (76.951) Epoch: [34][10220/11272] Time 0.826 (0.796) Data 0.002 (0.002) Loss 2.0875 (2.0940) Prec@1 43.750 (46.468) Prec@5 81.250 (76.953) Epoch: [34][10230/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.1341 (2.0941) Prec@1 40.000 (46.465) Prec@5 78.750 (76.952) Epoch: [34][10240/11272] Time 0.874 (0.796) Data 0.001 (0.002) Loss 2.2720 (2.0941) Prec@1 44.375 (46.464) Prec@5 75.000 (76.951) Epoch: [34][10250/11272] Time 0.856 (0.796) Data 0.002 (0.002) Loss 2.1020 (2.0940) Prec@1 51.250 (46.467) Prec@5 78.125 (76.953) Epoch: [34][10260/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 2.1725 (2.0940) Prec@1 45.000 (46.466) Prec@5 74.375 (76.952) Epoch: [34][10270/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.9746 (2.0940) Prec@1 51.875 (46.467) Prec@5 76.250 (76.953) Epoch: [34][10280/11272] Time 0.843 (0.796) Data 0.001 (0.002) Loss 2.0198 (2.0940) Prec@1 46.875 (46.467) Prec@5 76.875 (76.953) Epoch: [34][10290/11272] Time 0.844 (0.796) Data 0.002 (0.002) Loss 2.0261 (2.0940) Prec@1 46.250 (46.467) Prec@5 77.500 (76.953) Epoch: [34][10300/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 2.1924 (2.0940) Prec@1 46.875 (46.464) Prec@5 72.500 (76.951) Epoch: [34][10310/11272] Time 0.772 (0.796) Data 0.002 (0.002) Loss 2.0984 (2.0941) Prec@1 45.000 (46.463) Prec@5 79.375 (76.950) Epoch: [34][10320/11272] Time 0.837 (0.796) Data 0.002 (0.002) Loss 1.8781 (2.0941) Prec@1 52.500 (46.464) Prec@5 80.000 (76.951) Epoch: [34][10330/11272] Time 0.882 (0.796) Data 0.002 (0.002) Loss 2.1384 (2.0941) Prec@1 44.375 (46.464) Prec@5 73.750 (76.950) Epoch: [34][10340/11272] Time 0.763 (0.796) Data 0.001 (0.002) Loss 2.0552 (2.0941) Prec@1 45.625 (46.464) Prec@5 75.625 (76.949) Epoch: [34][10350/11272] Time 0.749 (0.796) Data 0.002 (0.002) Loss 1.9719 (2.0941) Prec@1 51.875 (46.463) Prec@5 75.625 (76.949) Epoch: [34][10360/11272] Time 0.842 (0.796) Data 0.001 (0.002) Loss 2.1082 (2.0941) Prec@1 48.125 (46.462) Prec@5 77.500 (76.949) Epoch: [34][10370/11272] Time 0.749 (0.796) Data 0.001 (0.002) Loss 2.2222 (2.0941) Prec@1 48.125 (46.464) Prec@5 73.125 (76.947) Epoch: [34][10380/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 2.0365 (2.0941) Prec@1 47.500 (46.465) Prec@5 72.500 (76.947) Epoch: [34][10390/11272] Time 0.872 (0.796) Data 0.002 (0.002) Loss 2.0101 (2.0942) Prec@1 50.000 (46.464) Prec@5 78.125 (76.946) Epoch: [34][10400/11272] Time 0.868 (0.796) Data 0.002 (0.002) Loss 2.1662 (2.0941) Prec@1 48.125 (46.464) Prec@5 75.000 (76.947) Epoch: [34][10410/11272] Time 0.742 (0.796) Data 0.002 (0.002) Loss 2.0907 (2.0942) Prec@1 46.250 (46.462) Prec@5 78.125 (76.946) Epoch: [34][10420/11272] Time 0.726 (0.796) Data 0.002 (0.002) Loss 1.9781 (2.0943) Prec@1 53.125 (46.462) Prec@5 80.000 (76.946) Epoch: [34][10430/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 1.9892 (2.0942) Prec@1 46.875 (46.462) Prec@5 78.125 (76.946) Epoch: [34][10440/11272] Time 0.784 (0.796) Data 0.001 (0.002) Loss 2.2423 (2.0942) Prec@1 47.500 (46.463) Prec@5 75.625 (76.947) Epoch: [34][10450/11272] Time 0.740 (0.796) Data 0.001 (0.002) Loss 2.2752 (2.0942) Prec@1 43.125 (46.462) Prec@5 75.000 (76.947) Epoch: [34][10460/11272] Time 0.752 (0.796) Data 0.001 (0.002) Loss 2.2395 (2.0943) Prec@1 43.125 (46.463) Prec@5 75.625 (76.947) Epoch: [34][10470/11272] Time 0.873 (0.796) Data 0.002 (0.002) Loss 2.3663 (2.0943) Prec@1 41.250 (46.462) Prec@5 73.750 (76.947) Epoch: [34][10480/11272] Time 0.829 (0.796) Data 0.002 (0.002) Loss 2.0101 (2.0943) Prec@1 51.250 (46.462) Prec@5 78.750 (76.946) Epoch: [34][10490/11272] Time 0.735 (0.796) Data 0.002 (0.002) Loss 1.9305 (2.0943) Prec@1 51.875 (46.462) Prec@5 80.625 (76.945) Epoch: [34][10500/11272] Time 0.813 (0.796) Data 0.002 (0.002) Loss 1.8096 (2.0943) Prec@1 51.875 (46.462) Prec@5 85.000 (76.945) Epoch: [34][10510/11272] Time 0.859 (0.796) Data 0.002 (0.002) Loss 2.0023 (2.0943) Prec@1 43.750 (46.463) Prec@5 79.375 (76.945) Epoch: [34][10520/11272] Time 0.743 (0.796) Data 0.001 (0.002) Loss 2.2778 (2.0943) Prec@1 43.750 (46.463) Prec@5 73.750 (76.942) Epoch: [34][10530/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 2.2190 (2.0943) Prec@1 41.875 (46.463) Prec@5 73.125 (76.942) Epoch: [34][10540/11272] Time 0.862 (0.796) Data 0.002 (0.002) Loss 1.9422 (2.0943) Prec@1 44.375 (46.463) Prec@5 80.625 (76.943) Epoch: [34][10550/11272] Time 0.853 (0.796) Data 0.002 (0.002) Loss 2.2022 (2.0943) Prec@1 44.375 (46.462) Prec@5 75.625 (76.943) Epoch: [34][10560/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 2.1554 (2.0944) Prec@1 46.875 (46.460) Prec@5 75.625 (76.942) Epoch: [34][10570/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 2.0973 (2.0944) Prec@1 44.375 (46.460) Prec@5 71.250 (76.941) Epoch: [34][10580/11272] Time 0.867 (0.796) Data 0.002 (0.002) Loss 2.0821 (2.0944) Prec@1 50.000 (46.460) Prec@5 79.375 (76.941) Epoch: [34][10590/11272] Time 0.835 (0.796) Data 0.002 (0.002) Loss 2.3203 (2.0944) Prec@1 46.875 (46.460) Prec@5 71.250 (76.940) Epoch: [34][10600/11272] Time 0.728 (0.796) Data 0.002 (0.002) Loss 1.9448 (2.0944) Prec@1 51.250 (46.461) Prec@5 78.125 (76.939) Epoch: [34][10610/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 2.4466 (2.0945) Prec@1 41.875 (46.460) Prec@5 74.375 (76.939) Epoch: [34][10620/11272] Time 0.848 (0.796) Data 0.002 (0.002) Loss 2.2335 (2.0945) Prec@1 43.125 (46.460) Prec@5 72.500 (76.938) Epoch: [34][10630/11272] Time 0.759 (0.796) Data 0.003 (0.002) Loss 1.9858 (2.0945) Prec@1 45.000 (46.460) Prec@5 80.625 (76.937) Epoch: [34][10640/11272] Time 0.742 (0.796) Data 0.001 (0.002) Loss 2.1272 (2.0944) Prec@1 45.625 (46.461) Prec@5 76.875 (76.938) Epoch: [34][10650/11272] Time 0.876 (0.796) Data 0.002 (0.002) Loss 2.2494 (2.0945) Prec@1 43.750 (46.460) Prec@5 71.250 (76.937) Epoch: [34][10660/11272] Time 0.851 (0.796) Data 0.002 (0.002) Loss 1.9373 (2.0945) Prec@1 49.375 (46.459) Prec@5 80.000 (76.937) Epoch: [34][10670/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 2.2391 (2.0946) Prec@1 44.375 (46.459) Prec@5 73.750 (76.936) Epoch: [34][10680/11272] Time 0.767 (0.796) Data 0.002 (0.002) Loss 1.8049 (2.0945) Prec@1 51.250 (46.458) Prec@5 80.000 (76.936) Epoch: [34][10690/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 2.1114 (2.0945) Prec@1 43.125 (46.459) Prec@5 78.750 (76.937) Epoch: [34][10700/11272] Time 0.830 (0.796) Data 0.002 (0.002) Loss 2.2473 (2.0945) Prec@1 42.500 (46.458) Prec@5 75.000 (76.938) Epoch: [34][10710/11272] Time 0.755 (0.796) Data 0.002 (0.002) Loss 2.0649 (2.0946) Prec@1 46.250 (46.457) Prec@5 78.750 (76.936) Epoch: [34][10720/11272] Time 0.727 (0.796) Data 0.001 (0.002) Loss 1.8926 (2.0945) Prec@1 48.125 (46.456) Prec@5 83.750 (76.937) Epoch: [34][10730/11272] Time 0.844 (0.796) Data 0.002 (0.002) Loss 2.0102 (2.0945) Prec@1 45.000 (46.457) Prec@5 76.875 (76.937) Epoch: [34][10740/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 2.2634 (2.0946) Prec@1 47.500 (46.456) Prec@5 69.375 (76.935) Epoch: [34][10750/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 2.1225 (2.0946) Prec@1 43.750 (46.458) Prec@5 74.375 (76.934) Epoch: [34][10760/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 2.2292 (2.0946) Prec@1 46.250 (46.457) Prec@5 73.125 (76.934) Epoch: [34][10770/11272] Time 0.831 (0.796) Data 0.002 (0.002) Loss 1.9536 (2.0946) Prec@1 51.875 (46.456) Prec@5 81.875 (76.935) Epoch: [34][10780/11272] Time 0.739 (0.796) Data 0.002 (0.002) Loss 2.1932 (2.0946) Prec@1 49.375 (46.457) Prec@5 76.875 (76.935) Epoch: [34][10790/11272] Time 0.726 (0.796) Data 0.002 (0.002) Loss 2.0778 (2.0945) Prec@1 45.625 (46.458) Prec@5 75.625 (76.936) Epoch: [34][10800/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 2.3067 (2.0946) Prec@1 38.125 (46.456) Prec@5 70.000 (76.935) Epoch: [34][10810/11272] Time 0.802 (0.796) Data 0.002 (0.002) Loss 1.9617 (2.0946) Prec@1 49.375 (46.454) Prec@5 80.625 (76.935) Epoch: [34][10820/11272] Time 0.731 (0.796) Data 0.001 (0.002) Loss 2.2957 (2.0947) Prec@1 43.750 (46.453) Prec@5 75.625 (76.934) Epoch: [34][10830/11272] Time 0.748 (0.796) Data 0.001 (0.002) Loss 1.9302 (2.0947) Prec@1 51.875 (46.452) Prec@5 79.375 (76.932) Epoch: [34][10840/11272] Time 0.834 (0.796) Data 0.002 (0.002) Loss 1.9898 (2.0947) Prec@1 46.250 (46.452) Prec@5 78.750 (76.934) Epoch: [34][10850/11272] Time 0.845 (0.796) Data 0.002 (0.002) Loss 2.2756 (2.0947) Prec@1 40.625 (46.451) Prec@5 73.125 (76.933) Epoch: [34][10860/11272] Time 0.761 (0.796) Data 0.002 (0.002) Loss 1.9994 (2.0947) Prec@1 43.125 (46.451) Prec@5 73.750 (76.933) Epoch: [34][10870/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 2.1969 (2.0948) Prec@1 41.875 (46.449) Prec@5 76.875 (76.932) Epoch: [34][10880/11272] Time 0.848 (0.796) Data 0.002 (0.002) Loss 2.0719 (2.0948) Prec@1 47.500 (46.449) Prec@5 78.750 (76.931) Epoch: [34][10890/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 2.0315 (2.0948) Prec@1 53.750 (46.449) Prec@5 76.250 (76.932) Epoch: [34][10900/11272] Time 0.741 (0.796) Data 0.002 (0.002) Loss 2.0456 (2.0948) Prec@1 43.750 (46.448) Prec@5 78.125 (76.932) Epoch: [34][10910/11272] Time 0.905 (0.796) Data 0.001 (0.002) Loss 2.2284 (2.0947) Prec@1 40.625 (46.449) Prec@5 78.125 (76.933) Epoch: [34][10920/11272] Time 0.860 (0.796) Data 0.002 (0.002) Loss 1.9897 (2.0947) Prec@1 48.125 (46.448) Prec@5 78.750 (76.934) Epoch: [34][10930/11272] Time 0.741 (0.796) Data 0.002 (0.002) Loss 2.0099 (2.0947) Prec@1 48.750 (46.449) Prec@5 79.375 (76.935) Epoch: [34][10940/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 2.3255 (2.0947) Prec@1 42.500 (46.450) Prec@5 71.250 (76.933) Epoch: [34][10950/11272] Time 0.852 (0.796) Data 0.002 (0.002) Loss 2.2375 (2.0948) Prec@1 44.375 (46.450) Prec@5 74.375 (76.932) Epoch: [34][10960/11272] Time 0.853 (0.796) Data 0.002 (0.002) Loss 1.9605 (2.0948) Prec@1 48.125 (46.451) Prec@5 80.625 (76.932) Epoch: [34][10970/11272] Time 0.741 (0.796) Data 0.001 (0.002) Loss 1.8910 (2.0948) Prec@1 51.250 (46.450) Prec@5 79.375 (76.933) Epoch: [34][10980/11272] Time 0.772 (0.796) Data 0.002 (0.002) Loss 1.9794 (2.0947) Prec@1 50.000 (46.451) Prec@5 75.000 (76.934) Epoch: [34][10990/11272] Time 0.839 (0.796) Data 0.002 (0.002) Loss 2.0060 (2.0947) Prec@1 48.750 (46.451) Prec@5 79.375 (76.935) Epoch: [34][11000/11272] Time 0.877 (0.796) Data 0.002 (0.002) Loss 2.1997 (2.0947) Prec@1 50.625 (46.449) Prec@5 76.875 (76.935) Epoch: [34][11010/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 2.0788 (2.0947) Prec@1 47.500 (46.450) Prec@5 78.750 (76.934) Epoch: [34][11020/11272] Time 0.870 (0.796) Data 0.002 (0.002) Loss 2.0341 (2.0947) Prec@1 48.125 (46.452) Prec@5 80.625 (76.935) Epoch: [34][11030/11272] Time 0.850 (0.796) Data 0.001 (0.002) Loss 2.1133 (2.0947) Prec@1 44.375 (46.451) Prec@5 77.500 (76.935) Epoch: [34][11040/11272] Time 0.718 (0.796) Data 0.001 (0.002) Loss 2.1489 (2.0947) Prec@1 46.875 (46.450) Prec@5 77.500 (76.935) Epoch: [34][11050/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.7912 (2.0948) Prec@1 55.000 (46.450) Prec@5 83.125 (76.935) Epoch: [34][11060/11272] Time 0.830 (0.796) Data 0.001 (0.002) Loss 2.1659 (2.0947) Prec@1 46.875 (46.453) Prec@5 76.250 (76.936) Epoch: [34][11070/11272] Time 0.872 (0.796) Data 0.002 (0.002) Loss 2.4188 (2.0948) Prec@1 38.750 (46.450) Prec@5 71.875 (76.934) Epoch: [34][11080/11272] Time 0.747 (0.796) Data 0.002 (0.002) Loss 2.3104 (2.0948) Prec@1 45.625 (46.449) Prec@5 73.125 (76.933) Epoch: [34][11090/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 2.0825 (2.0948) Prec@1 45.000 (46.448) Prec@5 78.125 (76.933) Epoch: [34][11100/11272] Time 0.845 (0.796) Data 0.002 (0.002) Loss 2.3072 (2.0949) Prec@1 43.125 (46.447) Prec@5 73.750 (76.933) Epoch: [34][11110/11272] Time 0.838 (0.796) Data 0.002 (0.002) Loss 2.1193 (2.0949) Prec@1 43.750 (46.446) Prec@5 77.500 (76.933) Epoch: [34][11120/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 2.3250 (2.0949) Prec@1 42.500 (46.445) Prec@5 72.500 (76.933) Epoch: [34][11130/11272] Time 0.744 (0.796) Data 0.001 (0.002) Loss 2.2490 (2.0949) Prec@1 45.000 (46.445) Prec@5 72.500 (76.933) Epoch: [34][11140/11272] Time 0.835 (0.796) Data 0.002 (0.002) Loss 1.8454 (2.0949) Prec@1 51.250 (46.445) Prec@5 81.875 (76.934) Epoch: [34][11150/11272] Time 0.854 (0.796) Data 0.002 (0.002) Loss 2.0125 (2.0949) Prec@1 50.000 (46.444) Prec@5 76.875 (76.933) Epoch: [34][11160/11272] Time 0.747 (0.796) Data 0.002 (0.002) Loss 1.9437 (2.0949) Prec@1 50.625 (46.444) Prec@5 78.125 (76.931) Epoch: [34][11170/11272] Time 0.895 (0.796) Data 0.002 (0.002) Loss 1.6804 (2.0948) Prec@1 54.375 (46.447) Prec@5 82.500 (76.933) Epoch: [34][11180/11272] Time 0.877 (0.796) Data 0.002 (0.002) Loss 2.0342 (2.0948) Prec@1 48.125 (46.447) Prec@5 78.750 (76.934) Epoch: [34][11190/11272] Time 0.723 (0.796) Data 0.002 (0.002) Loss 2.2438 (2.0948) Prec@1 45.000 (46.446) Prec@5 74.375 (76.933) Epoch: [34][11200/11272] Time 0.752 (0.796) Data 0.002 (0.002) Loss 2.0513 (2.0948) Prec@1 47.500 (46.448) Prec@5 75.000 (76.935) Epoch: [34][11210/11272] Time 0.844 (0.796) Data 0.002 (0.002) Loss 2.0875 (2.0949) Prec@1 47.500 (46.446) Prec@5 76.250 (76.933) Epoch: [34][11220/11272] Time 0.844 (0.796) Data 0.002 (0.002) Loss 1.9723 (2.0949) Prec@1 46.875 (46.446) Prec@5 76.875 (76.933) Epoch: [34][11230/11272] Time 0.751 (0.796) Data 0.002 (0.002) Loss 2.2880 (2.0950) Prec@1 43.750 (46.446) Prec@5 76.250 (76.932) Epoch: [34][11240/11272] Time 0.724 (0.796) Data 0.002 (0.002) Loss 1.9967 (2.0949) Prec@1 46.875 (46.445) Prec@5 81.250 (76.932) Epoch: [34][11250/11272] Time 0.844 (0.796) Data 0.001 (0.002) Loss 2.2759 (2.0950) Prec@1 40.625 (46.443) Prec@5 72.500 (76.932) Epoch: [34][11260/11272] Time 0.834 (0.796) Data 0.001 (0.002) Loss 2.0297 (2.0951) Prec@1 49.375 (46.440) Prec@5 76.250 (76.930) Epoch: [34][11270/11272] Time 0.721 (0.796) Data 0.000 (0.002) Loss 2.1827 (2.0952) Prec@1 43.125 (46.440) Prec@5 76.250 (76.930) Test: [0/229] Time 1.606 (1.606) Loss 1.2723 (1.2723) Prec@1 56.875 (56.875) Prec@5 95.000 (95.000) Test: [10/229] Time 0.393 (0.496) Loss 1.1521 (1.7734) Prec@1 64.375 (50.625) Prec@5 96.250 (85.568) Test: [20/229] Time 0.356 (0.453) Loss 2.1323 (1.8259) Prec@1 50.625 (49.911) Prec@5 78.125 (83.393) Test: [30/229] Time 0.342 (0.437) Loss 1.9398 (1.7282) Prec@1 45.000 (53.448) Prec@5 85.000 (84.617) Test: [40/229] Time 0.440 (0.425) Loss 0.3961 (1.7159) Prec@1 93.125 (53.704) Prec@5 96.250 (84.893) Test: [50/229] Time 0.358 (0.419) Loss 2.2331 (1.7736) Prec@1 41.250 (52.672) Prec@5 76.875 (83.333) Test: [60/229] Time 0.473 (0.416) Loss 2.1381 (1.7708) Prec@1 38.125 (52.541) Prec@5 80.000 (83.238) Test: [70/229] Time 0.365 (0.412) Loss 1.4047 (1.7788) Prec@1 66.250 (52.306) Prec@5 83.125 (83.081) Test: [80/229] Time 0.404 (0.408) Loss 2.4681 (1.8103) Prec@1 26.875 (51.304) Prec@5 74.375 (82.870) Test: [90/229] Time 0.372 (0.406) Loss 1.4474 (1.8169) Prec@1 66.250 (51.277) Prec@5 83.750 (82.974) Test: [100/229] Time 0.399 (0.406) Loss 2.1937 (1.8075) Prec@1 47.500 (51.807) Prec@5 80.625 (83.119) Test: [110/229] Time 0.414 (0.404) Loss 1.3831 (1.7845) Prec@1 62.500 (52.292) Prec@5 88.125 (83.525) Test: [120/229] Time 0.420 (0.403) Loss 2.4832 (1.8048) Prec@1 36.250 (51.813) Prec@5 80.625 (83.249) Test: [130/229] Time 0.416 (0.402) Loss 1.4661 (1.7833) Prec@1 55.000 (52.314) Prec@5 86.250 (83.545) Test: [140/229] Time 0.366 (0.401) Loss 1.8419 (1.7921) Prec@1 51.250 (52.185) Prec@5 85.000 (83.444) Test: [150/229] Time 0.415 (0.400) Loss 1.2631 (1.8039) Prec@1 71.875 (51.933) Prec@5 88.125 (83.336) Test: [160/229] Time 0.361 (0.398) Loss 1.9530 (1.8015) Prec@1 58.125 (51.902) Prec@5 83.750 (83.389) Test: [170/229] Time 0.359 (0.398) Loss 1.9124 (1.8103) Prec@1 50.625 (51.594) Prec@5 84.375 (83.260) Test: [180/229] Time 0.367 (0.397) Loss 2.4804 (1.8163) Prec@1 31.875 (51.523) Prec@5 72.500 (83.087) Test: [190/229] Time 0.364 (0.396) Loss 1.3949 (1.8116) Prec@1 65.000 (51.734) Prec@5 91.250 (83.092) Test: [200/229] Time 0.439 (0.396) Loss 1.8946 (1.8015) Prec@1 45.625 (51.872) Prec@5 77.500 (83.305) Test: [210/229] Time 0.368 (0.395) Loss 1.3969 (1.7944) Prec@1 55.000 (51.993) Prec@5 91.875 (83.448) Test: [220/229] Time 0.500 (0.395) Loss 1.7639 (1.7845) Prec@1 49.375 (52.336) Prec@5 85.000 (83.515) * Prec@1 52.662 Prec@5 83.603 Epoch: [35][0/11272] Time 2.920 (2.920) Data 2.084 (2.084) Loss 2.1087 (2.1087) Prec@1 46.875 (46.875) Prec@5 76.250 (76.250) Epoch: [35][10/11272] Time 0.749 (0.987) Data 0.002 (0.191) Loss 1.9169 (2.0580) Prec@1 53.750 (47.386) Prec@5 77.500 (76.818) Epoch: [35][20/11272] Time 0.829 (0.897) Data 0.002 (0.101) Loss 2.2259 (2.0715) Prec@1 43.125 (46.935) Prec@5 75.000 (76.756) Epoch: [35][30/11272] Time 0.846 (0.865) Data 0.001 (0.069) Loss 2.0270 (2.0822) Prec@1 44.375 (46.250) Prec@5 81.250 (76.794) Epoch: [35][40/11272] Time 0.758 (0.850) Data 0.001 (0.053) Loss 2.1237 (2.0754) Prec@1 43.750 (46.311) Prec@5 77.500 (76.738) Epoch: [35][50/11272] Time 0.725 (0.839) Data 0.002 (0.043) Loss 2.0920 (2.0723) Prec@1 43.125 (46.483) Prec@5 80.625 (76.949) Epoch: [35][60/11272] Time 0.902 (0.833) Data 0.002 (0.036) Loss 1.9958 (2.0739) Prec@1 50.625 (46.506) Prec@5 78.750 (77.121) Epoch: [35][70/11272] Time 0.896 (0.829) Data 0.002 (0.031) Loss 2.2480 (2.0726) Prec@1 41.250 (46.540) Prec@5 73.750 (77.060) Epoch: [35][80/11272] Time 0.746 (0.826) Data 0.002 (0.027) Loss 2.2955 (2.0824) Prec@1 41.875 (46.489) Prec@5 72.500 (76.836) Epoch: [35][90/11272] Time 0.732 (0.823) Data 0.001 (0.025) Loss 2.3088 (2.0838) Prec@1 41.250 (46.504) Prec@5 72.500 (76.841) Epoch: [35][100/11272] Time 0.891 (0.822) Data 0.002 (0.022) Loss 1.9948 (2.0846) Prec@1 46.250 (46.411) Prec@5 79.375 (76.955) Epoch: [35][110/11272] Time 0.754 (0.818) Data 0.003 (0.020) Loss 2.0312 (2.0801) Prec@1 55.000 (46.639) Prec@5 74.375 (77.044) Epoch: [35][120/11272] Time 0.734 (0.816) Data 0.001 (0.019) Loss 1.9533 (2.0719) Prec@1 46.250 (46.689) Prec@5 84.375 (77.242) Epoch: [35][130/11272] Time 0.820 (0.814) Data 0.002 (0.018) Loss 2.3099 (2.0751) Prec@1 46.250 (46.665) Prec@5 71.875 (77.171) Epoch: [35][140/11272] Time 0.842 (0.813) Data 0.001 (0.016) Loss 1.9195 (2.0787) Prec@1 49.375 (46.574) Prec@5 78.750 (77.030) Epoch: [35][150/11272] Time 0.748 (0.812) Data 0.002 (0.015) Loss 1.8568 (2.0727) Prec@1 51.250 (46.726) Prec@5 80.000 (77.103) Epoch: [35][160/11272] Time 0.730 (0.810) Data 0.002 (0.015) Loss 2.1055 (2.0753) Prec@1 46.250 (46.673) Prec@5 78.750 (77.123) Epoch: [35][170/11272] Time 0.827 (0.810) Data 0.002 (0.014) Loss 2.0966 (2.0743) Prec@1 46.250 (46.637) Prec@5 76.250 (77.127) Epoch: [35][180/11272] Time 0.824 (0.809) Data 0.002 (0.013) Loss 2.1549 (2.0720) Prec@1 42.500 (46.682) Prec@5 75.000 (77.193) Epoch: [35][190/11272] Time 0.727 (0.808) Data 0.002 (0.013) Loss 1.9511 (2.0720) Prec@1 51.875 (46.685) Prec@5 75.625 (77.189) Epoch: [35][200/11272] Time 0.722 (0.807) Data 0.001 (0.012) Loss 2.0180 (2.0720) Prec@1 46.875 (46.664) Prec@5 75.625 (77.183) Epoch: [35][210/11272] Time 0.875 (0.807) Data 0.002 (0.012) Loss 2.6020 (2.0766) Prec@1 33.125 (46.597) Prec@5 68.750 (77.109) Epoch: [35][220/11272] Time 0.887 (0.807) Data 0.002 (0.011) Loss 2.0912 (2.0812) Prec@1 46.875 (46.536) Prec@5 78.125 (77.045) Epoch: [35][230/11272] Time 0.737 (0.807) Data 0.001 (0.011) Loss 2.3261 (2.0830) Prec@1 42.500 (46.496) Prec@5 72.500 (76.997) Epoch: [35][240/11272] Time 0.903 (0.808) Data 0.002 (0.010) Loss 2.1591 (2.0818) Prec@1 44.375 (46.496) Prec@5 79.375 (77.046) Epoch: [35][250/11272] Time 0.830 (0.807) Data 0.002 (0.010) Loss 1.9431 (2.0815) Prec@1 48.125 (46.519) Prec@5 80.625 (77.067) Epoch: [35][260/11272] Time 0.774 (0.806) Data 0.002 (0.010) Loss 2.0733 (2.0801) Prec@1 44.375 (46.530) Prec@5 81.250 (77.112) Epoch: [35][270/11272] Time 0.759 (0.806) Data 0.002 (0.009) Loss 2.2406 (2.0788) Prec@1 42.500 (46.536) Prec@5 70.625 (77.131) Epoch: [35][280/11272] Time 0.844 (0.806) Data 0.002 (0.009) Loss 2.0193 (2.0785) Prec@1 46.250 (46.552) Prec@5 81.875 (77.151) Epoch: [35][290/11272] Time 0.832 (0.805) Data 0.002 (0.009) Loss 1.9885 (2.0771) Prec@1 47.500 (46.553) Prec@5 78.125 (77.161) Epoch: [35][300/11272] Time 0.741 (0.805) Data 0.002 (0.009) Loss 2.0789 (2.0746) Prec@1 48.125 (46.576) Prec@5 76.250 (77.209) Epoch: [35][310/11272] Time 0.746 (0.804) Data 0.002 (0.008) Loss 2.1068 (2.0758) Prec@1 47.500 (46.570) Prec@5 75.000 (77.199) Epoch: [35][320/11272] Time 0.838 (0.804) Data 0.002 (0.008) Loss 2.3709 (2.0761) Prec@1 38.125 (46.560) Prec@5 70.625 (77.198) Epoch: [35][330/11272] Time 0.834 (0.804) Data 0.002 (0.008) Loss 1.9202 (2.0775) Prec@1 51.875 (46.535) Prec@5 81.250 (77.185) Epoch: [35][340/11272] Time 0.723 (0.803) Data 0.002 (0.008) Loss 2.0697 (2.0767) Prec@1 48.750 (46.530) Prec@5 75.625 (77.223) Epoch: [35][350/11272] Time 0.744 (0.803) Data 0.002 (0.008) Loss 1.7358 (2.0760) Prec@1 55.625 (46.551) Prec@5 83.750 (77.210) Epoch: [35][360/11272] Time 0.847 (0.803) Data 0.002 (0.007) Loss 2.1248 (2.0765) Prec@1 43.750 (46.567) Prec@5 78.750 (77.178) Epoch: [35][370/11272] Time 0.755 (0.802) Data 0.004 (0.007) Loss 2.3416 (2.0758) Prec@1 45.000 (46.594) Prec@5 70.625 (77.178) Epoch: [35][380/11272] Time 0.729 (0.802) Data 0.002 (0.007) Loss 2.1556 (2.0756) Prec@1 43.125 (46.606) Prec@5 76.875 (77.156) Epoch: [35][390/11272] Time 0.821 (0.801) Data 0.001 (0.007) Loss 2.0577 (2.0752) Prec@1 48.125 (46.646) Prec@5 79.375 (77.136) Epoch: [35][400/11272] Time 0.852 (0.801) Data 0.002 (0.007) Loss 2.1113 (2.0758) Prec@1 46.250 (46.637) Prec@5 80.000 (77.142) Epoch: [35][410/11272] Time 0.729 (0.801) Data 0.002 (0.007) Loss 2.1841 (2.0762) Prec@1 46.875 (46.604) Prec@5 71.875 (77.149) Epoch: [35][420/11272] Time 0.744 (0.801) Data 0.001 (0.007) Loss 1.7652 (2.0760) Prec@1 55.000 (46.612) Prec@5 81.875 (77.142) Epoch: [35][430/11272] Time 0.850 (0.801) Data 0.002 (0.006) Loss 2.2966 (2.0758) Prec@1 43.125 (46.585) Prec@5 71.875 (77.119) Epoch: [35][440/11272] Time 0.856 (0.801) Data 0.002 (0.006) Loss 2.0269 (2.0749) Prec@1 48.750 (46.587) Prec@5 80.000 (77.141) Epoch: [35][450/11272] Time 0.770 (0.801) Data 0.002 (0.006) Loss 2.1081 (2.0754) Prec@1 43.750 (46.592) Prec@5 80.000 (77.129) Epoch: [35][460/11272] Time 0.727 (0.801) Data 0.002 (0.006) Loss 2.4315 (2.0757) Prec@1 41.875 (46.584) Prec@5 71.250 (77.134) Epoch: [35][470/11272] Time 0.839 (0.800) Data 0.002 (0.006) Loss 2.1377 (2.0750) Prec@1 45.625 (46.623) Prec@5 75.625 (77.131) Epoch: [35][480/11272] Time 0.843 (0.800) Data 0.002 (0.006) Loss 2.1870 (2.0767) Prec@1 46.250 (46.593) Prec@5 74.375 (77.126) Epoch: [35][490/11272] Time 0.762 (0.800) Data 0.002 (0.006) Loss 1.8799 (2.0752) Prec@1 50.000 (46.599) Prec@5 81.250 (77.177) Epoch: [35][500/11272] Time 0.835 (0.800) Data 0.002 (0.006) Loss 2.1451 (2.0751) Prec@1 46.875 (46.624) Prec@5 77.500 (77.169) Epoch: [35][510/11272] Time 0.833 (0.800) Data 0.001 (0.006) Loss 2.5485 (2.0751) Prec@1 36.875 (46.652) Prec@5 69.375 (77.172) Epoch: [35][520/11272] Time 0.724 (0.800) Data 0.001 (0.006) Loss 2.1287 (2.0755) Prec@1 49.375 (46.646) Prec@5 78.750 (77.165) Epoch: [35][530/11272] Time 0.737 (0.800) Data 0.002 (0.006) Loss 2.2273 (2.0760) Prec@1 45.625 (46.640) Prec@5 75.625 (77.156) Epoch: [35][540/11272] Time 0.843 (0.800) Data 0.002 (0.006) Loss 2.0847 (2.0755) Prec@1 43.125 (46.660) Prec@5 78.125 (77.177) Epoch: [35][550/11272] Time 0.854 (0.800) Data 0.002 (0.005) Loss 2.1428 (2.0760) Prec@1 43.125 (46.628) Prec@5 73.750 (77.170) Epoch: [35][560/11272] Time 0.729 (0.800) Data 0.002 (0.005) Loss 2.1573 (2.0768) Prec@1 46.250 (46.617) Prec@5 75.000 (77.148) Epoch: [35][570/11272] Time 0.753 (0.800) Data 0.001 (0.005) Loss 2.1184 (2.0761) Prec@1 46.875 (46.642) Prec@5 76.875 (77.151) Epoch: [35][580/11272] Time 0.831 (0.800) Data 0.001 (0.005) Loss 2.0803 (2.0776) Prec@1 44.375 (46.610) Prec@5 78.750 (77.140) Epoch: [35][590/11272] Time 0.846 (0.800) Data 0.002 (0.005) Loss 2.0331 (2.0773) Prec@1 53.750 (46.632) Prec@5 76.250 (77.131) Epoch: [35][600/11272] Time 0.749 (0.800) Data 0.002 (0.005) Loss 1.9823 (2.0772) Prec@1 48.125 (46.636) Prec@5 78.125 (77.131) Epoch: [35][610/11272] Time 0.731 (0.800) Data 0.002 (0.005) Loss 2.1081 (2.0774) Prec@1 41.250 (46.625) Prec@5 78.125 (77.129) Epoch: [35][620/11272] Time 0.870 (0.800) Data 0.004 (0.005) Loss 1.9494 (2.0778) Prec@1 47.500 (46.621) Prec@5 81.875 (77.147) Epoch: [35][630/11272] Time 0.823 (0.799) Data 0.002 (0.005) Loss 2.1255 (2.0774) Prec@1 43.750 (46.645) Prec@5 78.750 (77.175) Epoch: [35][640/11272] Time 0.752 (0.799) Data 0.002 (0.005) Loss 1.9734 (2.0770) Prec@1 50.625 (46.649) Prec@5 81.875 (77.184) Epoch: [35][650/11272] Time 0.819 (0.799) Data 0.001 (0.005) Loss 2.5875 (2.0773) Prec@1 38.750 (46.641) Prec@5 68.125 (77.181) Epoch: [35][660/11272] Time 0.871 (0.799) Data 0.002 (0.005) Loss 1.9202 (2.0765) Prec@1 50.625 (46.666) Prec@5 83.750 (77.197) Epoch: [35][670/11272] Time 0.738 (0.799) Data 0.002 (0.005) Loss 2.1455 (2.0761) Prec@1 50.000 (46.685) Prec@5 81.875 (77.220) Epoch: [35][680/11272] Time 0.732 (0.799) Data 0.002 (0.005) Loss 2.2702 (2.0755) Prec@1 44.375 (46.697) Prec@5 73.750 (77.239) Epoch: [35][690/11272] Time 0.835 (0.799) Data 0.001 (0.005) Loss 2.1312 (2.0756) Prec@1 52.500 (46.701) Prec@5 74.375 (77.240) Epoch: [35][700/11272] Time 0.814 (0.799) Data 0.001 (0.005) Loss 2.1497 (2.0759) Prec@1 45.000 (46.696) Prec@5 77.500 (77.231) Epoch: [35][710/11272] Time 0.734 (0.799) Data 0.002 (0.005) Loss 2.0528 (2.0760) Prec@1 41.250 (46.682) Prec@5 78.750 (77.227) Epoch: [35][720/11272] Time 0.753 (0.799) Data 0.002 (0.005) Loss 2.1463 (2.0778) Prec@1 40.625 (46.643) Prec@5 79.375 (77.191) Epoch: [35][730/11272] Time 0.820 (0.799) Data 0.002 (0.005) Loss 2.2327 (2.0786) Prec@1 44.375 (46.653) Prec@5 71.875 (77.177) Epoch: [35][740/11272] Time 0.811 (0.799) Data 0.001 (0.004) Loss 2.0506 (2.0792) Prec@1 50.625 (46.654) Prec@5 76.875 (77.177) Epoch: [35][750/11272] Time 0.736 (0.798) Data 0.002 (0.004) Loss 2.0952 (2.0799) Prec@1 46.250 (46.638) Prec@5 76.875 (77.181) Epoch: [35][760/11272] Time 0.752 (0.798) Data 0.001 (0.004) Loss 2.2999 (2.0812) Prec@1 45.625 (46.626) Prec@5 73.750 (77.158) Epoch: [35][770/11272] Time 0.826 (0.798) Data 0.002 (0.004) Loss 2.2001 (2.0816) Prec@1 47.500 (46.627) Prec@5 75.000 (77.142) Epoch: [35][780/11272] Time 0.729 (0.798) Data 0.002 (0.004) Loss 1.8942 (2.0814) Prec@1 54.375 (46.644) Prec@5 80.625 (77.153) Epoch: [35][790/11272] Time 0.731 (0.798) Data 0.001 (0.004) Loss 2.0796 (2.0816) Prec@1 44.375 (46.647) Prec@5 78.125 (77.144) Epoch: [35][800/11272] Time 0.811 (0.798) Data 0.002 (0.004) Loss 2.0517 (2.0805) Prec@1 45.625 (46.653) Prec@5 74.375 (77.161) Epoch: [35][810/11272] Time 0.846 (0.798) Data 0.001 (0.004) Loss 2.0102 (2.0818) Prec@1 48.125 (46.621) Prec@5 78.750 (77.139) Epoch: [35][820/11272] Time 0.736 (0.797) Data 0.002 (0.004) Loss 2.0077 (2.0823) Prec@1 48.125 (46.589) Prec@5 75.625 (77.128) Epoch: [35][830/11272] Time 0.753 (0.797) Data 0.002 (0.004) Loss 1.9455 (2.0823) Prec@1 51.250 (46.599) Prec@5 75.000 (77.122) Epoch: [35][840/11272] Time 0.834 (0.797) Data 0.001 (0.004) Loss 2.1537 (2.0816) Prec@1 38.750 (46.591) Prec@5 75.625 (77.125) Epoch: [35][850/11272] Time 0.845 (0.798) Data 0.002 (0.004) Loss 2.3265 (2.0820) Prec@1 38.125 (46.583) Prec@5 72.500 (77.115) Epoch: [35][860/11272] Time 0.750 (0.797) Data 0.003 (0.004) Loss 2.1812 (2.0808) Prec@1 46.250 (46.585) Prec@5 72.500 (77.139) Epoch: [35][870/11272] Time 0.754 (0.797) Data 0.002 (0.004) Loss 2.0679 (2.0811) Prec@1 48.750 (46.582) Prec@5 76.250 (77.125) Epoch: [35][880/11272] Time 0.848 (0.798) Data 0.001 (0.004) Loss 2.0865 (2.0813) Prec@1 46.875 (46.572) Prec@5 76.250 (77.123) Epoch: [35][890/11272] Time 0.849 (0.798) Data 0.001 (0.004) Loss 2.2067 (2.0813) Prec@1 45.000 (46.585) Prec@5 71.250 (77.111) Epoch: [35][900/11272] Time 0.735 (0.798) Data 0.002 (0.004) Loss 2.2449 (2.0816) Prec@1 43.750 (46.561) Prec@5 70.625 (77.105) Epoch: [35][910/11272] Time 0.866 (0.798) Data 0.001 (0.004) Loss 1.8731 (2.0813) Prec@1 50.625 (46.566) Prec@5 74.375 (77.101) Epoch: [35][920/11272] Time 0.845 (0.798) Data 0.002 (0.004) Loss 2.0599 (2.0807) Prec@1 47.500 (46.580) Prec@5 78.750 (77.108) Epoch: [35][930/11272] Time 0.727 (0.797) Data 0.002 (0.004) Loss 1.6941 (2.0803) Prec@1 52.500 (46.583) Prec@5 85.625 (77.117) Epoch: [35][940/11272] Time 0.763 (0.797) Data 0.002 (0.004) Loss 1.8969 (2.0803) Prec@1 50.000 (46.571) Prec@5 81.250 (77.119) Epoch: [35][950/11272] Time 0.843 (0.797) Data 0.001 (0.004) Loss 2.2815 (2.0795) Prec@1 45.000 (46.575) Prec@5 71.875 (77.135) Epoch: [35][960/11272] Time 0.848 (0.797) Data 0.002 (0.004) Loss 1.9292 (2.0791) Prec@1 50.000 (46.591) Prec@5 78.750 (77.144) Epoch: [35][970/11272] Time 0.760 (0.797) Data 0.001 (0.004) Loss 2.1779 (2.0791) Prec@1 45.000 (46.592) Prec@5 75.000 (77.142) Epoch: [35][980/11272] Time 0.740 (0.797) Data 0.002 (0.004) Loss 1.9445 (2.0796) Prec@1 47.500 (46.579) Prec@5 78.750 (77.120) Epoch: [35][990/11272] Time 0.835 (0.797) Data 0.002 (0.004) Loss 2.0970 (2.0794) Prec@1 49.375 (46.577) Prec@5 77.500 (77.118) Epoch: [35][1000/11272] Time 0.833 (0.797) Data 0.001 (0.004) Loss 1.9693 (2.0785) Prec@1 53.125 (46.597) Prec@5 81.250 (77.127) Epoch: [35][1010/11272] Time 0.753 (0.797) Data 0.002 (0.004) Loss 1.8848 (2.0786) Prec@1 47.500 (46.594) Prec@5 81.875 (77.132) Epoch: [35][1020/11272] Time 0.750 (0.797) Data 0.002 (0.004) Loss 1.9508 (2.0789) Prec@1 46.875 (46.600) Prec@5 79.375 (77.129) Epoch: [35][1030/11272] Time 0.831 (0.797) Data 0.001 (0.004) Loss 2.2516 (2.0783) Prec@1 48.750 (46.621) Prec@5 73.125 (77.130) Epoch: [35][1040/11272] Time 0.810 (0.797) Data 0.004 (0.004) Loss 2.3055 (2.0779) Prec@1 43.750 (46.621) Prec@5 75.000 (77.135) Epoch: [35][1050/11272] Time 0.759 (0.797) Data 0.001 (0.004) Loss 1.6866 (2.0774) Prec@1 50.625 (46.634) Prec@5 88.125 (77.149) Epoch: [35][1060/11272] Time 0.862 (0.797) Data 0.002 (0.004) Loss 2.1335 (2.0770) Prec@1 41.875 (46.631) Prec@5 78.125 (77.164) Epoch: [35][1070/11272] Time 0.835 (0.797) Data 0.002 (0.004) Loss 2.0344 (2.0769) Prec@1 46.250 (46.632) Prec@5 75.000 (77.148) Epoch: [35][1080/11272] Time 0.752 (0.797) Data 0.002 (0.004) Loss 2.1073 (2.0773) Prec@1 46.250 (46.612) Prec@5 71.875 (77.141) Epoch: [35][1090/11272] Time 0.782 (0.797) Data 0.002 (0.004) Loss 2.1322 (2.0775) Prec@1 47.500 (46.605) Prec@5 76.250 (77.140) Epoch: [35][1100/11272] Time 0.887 (0.797) Data 0.001 (0.004) Loss 2.2290 (2.0775) Prec@1 43.125 (46.614) Prec@5 73.125 (77.133) Epoch: [35][1110/11272] Time 0.852 (0.797) Data 0.002 (0.004) Loss 1.9066 (2.0777) Prec@1 51.250 (46.621) Prec@5 82.500 (77.129) Epoch: [35][1120/11272] Time 0.740 (0.797) Data 0.002 (0.004) Loss 2.0144 (2.0775) Prec@1 45.625 (46.629) Prec@5 76.250 (77.130) Epoch: [35][1130/11272] Time 0.761 (0.797) Data 0.002 (0.003) Loss 2.2298 (2.0773) Prec@1 43.125 (46.638) Prec@5 75.000 (77.131) Epoch: [35][1140/11272] Time 0.831 (0.797) Data 0.002 (0.003) Loss 2.0067 (2.0775) Prec@1 48.750 (46.644) Prec@5 75.000 (77.124) Epoch: [35][1150/11272] Time 0.855 (0.797) Data 0.002 (0.003) Loss 2.1253 (2.0771) Prec@1 42.500 (46.665) Prec@5 79.375 (77.122) Epoch: [35][1160/11272] Time 0.758 (0.797) Data 0.001 (0.003) Loss 2.1562 (2.0778) Prec@1 46.250 (46.644) Prec@5 80.000 (77.119) Epoch: [35][1170/11272] Time 0.840 (0.797) Data 0.001 (0.003) Loss 2.0797 (2.0788) Prec@1 48.125 (46.635) Prec@5 76.250 (77.102) Epoch: [35][1180/11272] Time 0.826 (0.798) Data 0.002 (0.003) Loss 2.0619 (2.0791) Prec@1 49.375 (46.626) Prec@5 77.500 (77.095) Epoch: [35][1190/11272] Time 0.729 (0.797) Data 0.001 (0.003) Loss 2.1150 (2.0792) Prec@1 45.625 (46.612) Prec@5 78.750 (77.107) Epoch: [35][1200/11272] Time 0.746 (0.797) Data 0.001 (0.003) Loss 2.1810 (2.0795) Prec@1 43.125 (46.614) Prec@5 71.875 (77.098) Epoch: [35][1210/11272] Time 0.842 (0.797) Data 0.002 (0.003) Loss 2.0909 (2.0793) Prec@1 43.750 (46.606) Prec@5 77.500 (77.112) Epoch: [35][1220/11272] Time 0.866 (0.797) Data 0.002 (0.003) Loss 1.9794 (2.0792) Prec@1 45.000 (46.602) Prec@5 82.500 (77.119) Epoch: [35][1230/11272] Time 0.726 (0.797) Data 0.001 (0.003) Loss 2.2911 (2.0785) Prec@1 37.500 (46.616) Prec@5 74.375 (77.127) Epoch: [35][1240/11272] Time 0.747 (0.797) Data 0.002 (0.003) Loss 2.2304 (2.0788) Prec@1 47.500 (46.618) Prec@5 77.500 (77.127) Epoch: [35][1250/11272] Time 0.841 (0.797) Data 0.001 (0.003) Loss 1.8333 (2.0789) Prec@1 55.000 (46.613) Prec@5 83.125 (77.130) Epoch: [35][1260/11272] Time 0.862 (0.797) Data 0.002 (0.003) Loss 2.1003 (2.0790) Prec@1 45.000 (46.625) Prec@5 76.250 (77.132) Epoch: [35][1270/11272] Time 0.719 (0.797) Data 0.001 (0.003) Loss 2.0065 (2.0785) Prec@1 50.000 (46.642) Prec@5 83.125 (77.147) Epoch: [35][1280/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 1.9740 (2.0780) Prec@1 48.750 (46.660) Prec@5 87.500 (77.161) Epoch: [35][1290/11272] Time 0.827 (0.797) Data 0.001 (0.003) Loss 2.0389 (2.0776) Prec@1 46.875 (46.665) Prec@5 80.625 (77.166) Epoch: [35][1300/11272] Time 0.723 (0.797) Data 0.003 (0.003) Loss 1.9993 (2.0774) Prec@1 54.375 (46.667) Prec@5 76.875 (77.177) Epoch: [35][1310/11272] Time 0.723 (0.797) Data 0.002 (0.003) Loss 1.8950 (2.0779) Prec@1 46.875 (46.659) Prec@5 80.625 (77.172) Epoch: [35][1320/11272] Time 0.835 (0.797) Data 0.001 (0.003) Loss 2.1984 (2.0784) Prec@1 40.000 (46.652) Prec@5 75.625 (77.170) Epoch: [35][1330/11272] Time 0.842 (0.797) Data 0.002 (0.003) Loss 1.9748 (2.0784) Prec@1 50.000 (46.642) Prec@5 82.500 (77.170) Epoch: [35][1340/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 1.9561 (2.0783) Prec@1 40.625 (46.632) Prec@5 77.500 (77.174) Epoch: [35][1350/11272] Time 0.728 (0.797) Data 0.002 (0.003) Loss 1.9843 (2.0778) Prec@1 48.125 (46.648) Prec@5 78.750 (77.187) Epoch: [35][1360/11272] Time 0.860 (0.797) Data 0.001 (0.003) Loss 1.8926 (2.0777) Prec@1 51.250 (46.655) Prec@5 78.125 (77.194) Epoch: [35][1370/11272] Time 0.854 (0.797) Data 0.001 (0.003) Loss 2.1295 (2.0779) Prec@1 43.125 (46.643) Prec@5 78.125 (77.185) Epoch: [35][1380/11272] Time 0.728 (0.797) Data 0.002 (0.003) Loss 2.2671 (2.0779) Prec@1 44.375 (46.639) Prec@5 75.000 (77.180) Epoch: [35][1390/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 1.8518 (2.0778) Prec@1 51.875 (46.642) Prec@5 81.250 (77.181) Epoch: [35][1400/11272] Time 0.848 (0.797) Data 0.002 (0.003) Loss 1.8941 (2.0774) Prec@1 50.625 (46.645) Prec@5 80.000 (77.196) Epoch: [35][1410/11272] Time 0.827 (0.797) Data 0.001 (0.003) Loss 2.1259 (2.0773) Prec@1 49.375 (46.646) Prec@5 79.375 (77.206) Epoch: [35][1420/11272] Time 0.776 (0.797) Data 0.002 (0.003) Loss 2.2136 (2.0775) Prec@1 40.625 (46.645) Prec@5 75.625 (77.202) Epoch: [35][1430/11272] Time 0.851 (0.797) Data 0.002 (0.003) Loss 2.0791 (2.0774) Prec@1 46.875 (46.653) Prec@5 80.000 (77.198) Epoch: [35][1440/11272] Time 0.851 (0.797) Data 0.001 (0.003) Loss 1.8051 (2.0774) Prec@1 52.500 (46.664) Prec@5 81.875 (77.204) Epoch: [35][1450/11272] Time 0.739 (0.797) Data 0.001 (0.003) Loss 2.1420 (2.0770) Prec@1 47.500 (46.667) Prec@5 75.625 (77.211) Epoch: [35][1460/11272] Time 0.741 (0.797) Data 0.002 (0.003) Loss 2.0658 (2.0772) Prec@1 46.875 (46.669) Prec@5 75.625 (77.204) Epoch: [35][1470/11272] Time 0.854 (0.797) Data 0.002 (0.003) Loss 2.2533 (2.0773) Prec@1 41.250 (46.669) Prec@5 73.125 (77.199) Epoch: [35][1480/11272] Time 0.829 (0.797) Data 0.002 (0.003) Loss 2.0023 (2.0770) Prec@1 47.500 (46.671) Prec@5 80.000 (77.208) Epoch: [35][1490/11272] Time 0.743 (0.797) Data 0.001 (0.003) Loss 2.2077 (2.0772) Prec@1 46.250 (46.672) Prec@5 76.250 (77.203) Epoch: [35][1500/11272] Time 0.728 (0.797) Data 0.002 (0.003) Loss 2.0484 (2.0774) Prec@1 46.875 (46.665) Prec@5 78.125 (77.197) Epoch: [35][1510/11272] Time 0.860 (0.797) Data 0.002 (0.003) Loss 1.8295 (2.0774) Prec@1 50.000 (46.663) Prec@5 80.000 (77.203) Epoch: [35][1520/11272] Time 0.849 (0.797) Data 0.002 (0.003) Loss 2.1926 (2.0775) Prec@1 41.250 (46.656) Prec@5 75.000 (77.198) Epoch: [35][1530/11272] Time 0.733 (0.797) Data 0.002 (0.003) Loss 2.2923 (2.0781) Prec@1 44.375 (46.644) Prec@5 71.875 (77.184) Epoch: [35][1540/11272] Time 0.737 (0.797) Data 0.002 (0.003) Loss 2.1041 (2.0784) Prec@1 43.750 (46.637) Prec@5 75.625 (77.184) Epoch: [35][1550/11272] Time 0.841 (0.797) Data 0.002 (0.003) Loss 2.2736 (2.0782) Prec@1 37.500 (46.644) Prec@5 74.375 (77.185) Epoch: [35][1560/11272] Time 0.824 (0.797) Data 0.002 (0.003) Loss 2.0206 (2.0780) Prec@1 50.000 (46.645) Prec@5 75.625 (77.190) Epoch: [35][1570/11272] Time 0.757 (0.797) Data 0.002 (0.003) Loss 1.9101 (2.0778) Prec@1 47.500 (46.650) Prec@5 79.375 (77.197) Epoch: [35][1580/11272] Time 0.884 (0.797) Data 0.001 (0.003) Loss 1.8838 (2.0781) Prec@1 44.375 (46.647) Prec@5 84.375 (77.198) Epoch: [35][1590/11272] Time 0.829 (0.797) Data 0.002 (0.003) Loss 2.2317 (2.0784) Prec@1 43.125 (46.638) Prec@5 71.875 (77.195) Epoch: [35][1600/11272] Time 0.729 (0.797) Data 0.002 (0.003) Loss 2.1205 (2.0786) Prec@1 39.375 (46.629) Prec@5 80.000 (77.196) Epoch: [35][1610/11272] Time 0.746 (0.797) Data 0.001 (0.003) Loss 2.0418 (2.0786) Prec@1 53.125 (46.643) Prec@5 75.625 (77.193) Epoch: [35][1620/11272] Time 0.836 (0.797) Data 0.002 (0.003) Loss 2.1463 (2.0786) Prec@1 47.500 (46.643) Prec@5 76.250 (77.192) Epoch: [35][1630/11272] Time 0.836 (0.797) Data 0.001 (0.003) Loss 2.0036 (2.0784) Prec@1 45.625 (46.647) Prec@5 81.875 (77.196) Epoch: [35][1640/11272] Time 0.732 (0.797) Data 0.001 (0.003) Loss 2.2539 (2.0788) Prec@1 41.250 (46.638) Prec@5 75.625 (77.193) Epoch: [35][1650/11272] Time 0.728 (0.797) Data 0.001 (0.003) Loss 2.3079 (2.0789) Prec@1 39.375 (46.640) Prec@5 71.875 (77.195) Epoch: [35][1660/11272] Time 0.839 (0.797) Data 0.002 (0.003) Loss 2.4246 (2.0789) Prec@1 44.375 (46.639) Prec@5 69.375 (77.196) Epoch: [35][1670/11272] Time 0.855 (0.797) Data 0.002 (0.003) Loss 2.3427 (2.0793) Prec@1 43.750 (46.632) Prec@5 71.875 (77.184) Epoch: [35][1680/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 2.1044 (2.0791) Prec@1 44.375 (46.638) Prec@5 73.125 (77.184) Epoch: [35][1690/11272] Time 0.715 (0.797) Data 0.001 (0.003) Loss 2.3361 (2.0795) Prec@1 41.250 (46.633) Prec@5 69.375 (77.171) Epoch: [35][1700/11272] Time 0.836 (0.797) Data 0.002 (0.003) Loss 2.0267 (2.0797) Prec@1 46.875 (46.630) Prec@5 80.000 (77.172) Epoch: [35][1710/11272] Time 0.719 (0.797) Data 0.001 (0.003) Loss 2.0855 (2.0798) Prec@1 42.500 (46.629) Prec@5 78.750 (77.165) Epoch: [35][1720/11272] Time 0.736 (0.796) Data 0.002 (0.003) Loss 2.1000 (2.0797) Prec@1 48.750 (46.630) Prec@5 75.625 (77.163) Epoch: [35][1730/11272] Time 0.843 (0.796) Data 0.002 (0.003) Loss 2.0504 (2.0795) Prec@1 48.750 (46.635) Prec@5 79.375 (77.169) Epoch: [35][1740/11272] Time 0.900 (0.797) Data 0.002 (0.003) Loss 2.5484 (2.0798) Prec@1 35.625 (46.628) Prec@5 68.125 (77.158) Epoch: [35][1750/11272] Time 0.721 (0.796) Data 0.002 (0.003) Loss 2.1107 (2.0796) Prec@1 46.250 (46.627) Prec@5 78.750 (77.163) Epoch: [35][1760/11272] Time 0.739 (0.796) Data 0.002 (0.003) Loss 2.1160 (2.0798) Prec@1 44.375 (46.614) Prec@5 74.375 (77.158) Epoch: [35][1770/11272] Time 0.844 (0.796) Data 0.001 (0.003) Loss 1.8604 (2.0793) Prec@1 51.250 (46.629) Prec@5 79.375 (77.167) Epoch: [35][1780/11272] Time 0.836 (0.796) Data 0.002 (0.003) Loss 2.0167 (2.0798) Prec@1 46.250 (46.617) Prec@5 78.750 (77.162) Epoch: [35][1790/11272] Time 0.735 (0.796) Data 0.002 (0.003) Loss 1.8657 (2.0797) Prec@1 50.000 (46.626) Prec@5 81.875 (77.162) Epoch: [35][1800/11272] Time 0.727 (0.796) Data 0.002 (0.003) Loss 1.9048 (2.0791) Prec@1 50.625 (46.644) Prec@5 82.500 (77.170) Epoch: [35][1810/11272] Time 0.859 (0.796) Data 0.002 (0.003) Loss 1.7643 (2.0789) Prec@1 52.500 (46.646) Prec@5 84.375 (77.170) Epoch: [35][1820/11272] Time 0.845 (0.796) Data 0.002 (0.003) Loss 2.1918 (2.0789) Prec@1 40.625 (46.638) Prec@5 76.875 (77.173) Epoch: [35][1830/11272] Time 0.746 (0.797) Data 0.002 (0.003) Loss 1.9528 (2.0784) Prec@1 45.000 (46.635) Prec@5 81.875 (77.183) Epoch: [35][1840/11272] Time 0.887 (0.797) Data 0.001 (0.003) Loss 2.1302 (2.0782) Prec@1 47.500 (46.644) Prec@5 76.875 (77.187) Epoch: [35][1850/11272] Time 0.880 (0.797) Data 0.002 (0.003) Loss 2.0888 (2.0781) Prec@1 48.750 (46.652) Prec@5 75.625 (77.187) Epoch: [35][1860/11272] Time 0.747 (0.796) Data 0.001 (0.003) Loss 1.9697 (2.0782) Prec@1 48.750 (46.645) Prec@5 76.875 (77.187) Epoch: [35][1870/11272] Time 0.741 (0.797) Data 0.002 (0.003) Loss 1.8796 (2.0778) Prec@1 53.125 (46.654) Prec@5 81.250 (77.194) Epoch: [35][1880/11272] Time 0.862 (0.797) Data 0.001 (0.003) Loss 2.0724 (2.0777) Prec@1 45.625 (46.655) Prec@5 76.875 (77.195) Epoch: [35][1890/11272] Time 0.799 (0.797) Data 0.001 (0.003) Loss 2.2665 (2.0776) Prec@1 39.375 (46.650) Prec@5 70.625 (77.199) Epoch: [35][1900/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 2.2763 (2.0778) Prec@1 46.875 (46.644) Prec@5 71.875 (77.199) Epoch: [35][1910/11272] Time 0.728 (0.797) Data 0.001 (0.003) Loss 2.2187 (2.0784) Prec@1 41.875 (46.638) Prec@5 74.375 (77.179) Epoch: [35][1920/11272] Time 0.863 (0.797) Data 0.001 (0.003) Loss 2.1342 (2.0785) Prec@1 46.875 (46.640) Prec@5 77.500 (77.177) Epoch: [35][1930/11272] Time 0.853 (0.797) Data 0.002 (0.003) Loss 1.9939 (2.0785) Prec@1 49.375 (46.641) Prec@5 77.500 (77.175) Epoch: [35][1940/11272] Time 0.806 (0.797) Data 0.002 (0.003) Loss 2.3098 (2.0789) Prec@1 43.125 (46.635) Prec@5 71.250 (77.167) Epoch: [35][1950/11272] Time 0.753 (0.797) Data 0.002 (0.003) Loss 2.1111 (2.0794) Prec@1 43.750 (46.625) Prec@5 76.875 (77.160) Epoch: [35][1960/11272] Time 0.907 (0.797) Data 0.004 (0.003) Loss 1.7352 (2.0794) Prec@1 55.625 (46.630) Prec@5 81.250 (77.164) Epoch: [35][1970/11272] Time 0.737 (0.797) Data 0.003 (0.003) Loss 1.9118 (2.0796) Prec@1 50.625 (46.629) Prec@5 81.875 (77.158) Epoch: [35][1980/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 2.0784 (2.0802) Prec@1 45.625 (46.619) Prec@5 79.375 (77.145) Epoch: [35][1990/11272] Time 0.896 (0.797) Data 0.002 (0.003) Loss 2.0962 (2.0802) Prec@1 48.750 (46.620) Prec@5 76.875 (77.147) Epoch: [35][2000/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 2.1456 (2.0801) Prec@1 44.375 (46.622) Prec@5 77.500 (77.147) Epoch: [35][2010/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 2.1863 (2.0803) Prec@1 44.375 (46.624) Prec@5 75.625 (77.140) Epoch: [35][2020/11272] Time 0.753 (0.797) Data 0.002 (0.003) Loss 2.1176 (2.0805) Prec@1 46.250 (46.621) Prec@5 75.000 (77.133) Epoch: [35][2030/11272] Time 0.862 (0.797) Data 0.001 (0.003) Loss 2.0709 (2.0806) Prec@1 47.500 (46.623) Prec@5 82.500 (77.138) Epoch: [35][2040/11272] Time 0.877 (0.797) Data 0.002 (0.003) Loss 1.9396 (2.0808) Prec@1 48.125 (46.619) Prec@5 81.250 (77.132) Epoch: [35][2050/11272] Time 0.729 (0.797) Data 0.002 (0.003) Loss 2.2012 (2.0805) Prec@1 43.125 (46.617) Prec@5 74.375 (77.136) Epoch: [35][2060/11272] Time 0.726 (0.797) Data 0.002 (0.003) Loss 1.9691 (2.0803) Prec@1 49.375 (46.619) Prec@5 80.625 (77.140) Epoch: [35][2070/11272] Time 0.834 (0.797) Data 0.001 (0.003) Loss 2.1209 (2.0806) Prec@1 50.000 (46.615) Prec@5 75.625 (77.137) Epoch: [35][2080/11272] Time 0.842 (0.797) Data 0.002 (0.003) Loss 2.1778 (2.0806) Prec@1 43.125 (46.616) Prec@5 77.500 (77.138) Epoch: [35][2090/11272] Time 0.733 (0.797) Data 0.001 (0.003) Loss 1.9580 (2.0808) Prec@1 50.625 (46.611) Prec@5 80.000 (77.140) Epoch: [35][2100/11272] Time 0.849 (0.797) Data 0.002 (0.003) Loss 1.9273 (2.0806) Prec@1 43.750 (46.611) Prec@5 84.375 (77.145) Epoch: [35][2110/11272] Time 0.857 (0.797) Data 0.002 (0.003) Loss 1.7545 (2.0804) Prec@1 53.750 (46.620) Prec@5 84.375 (77.146) Epoch: [35][2120/11272] Time 0.707 (0.797) Data 0.001 (0.003) Loss 1.9159 (2.0804) Prec@1 50.625 (46.613) Prec@5 78.125 (77.147) Epoch: [35][2130/11272] Time 0.753 (0.797) Data 0.002 (0.003) Loss 2.1474 (2.0801) Prec@1 41.250 (46.610) Prec@5 71.875 (77.150) Epoch: [35][2140/11272] Time 0.822 (0.797) Data 0.002 (0.003) Loss 2.2518 (2.0804) Prec@1 43.750 (46.605) Prec@5 74.375 (77.147) Epoch: [35][2150/11272] Time 0.891 (0.797) Data 0.002 (0.003) Loss 2.0896 (2.0803) Prec@1 45.625 (46.602) Prec@5 76.875 (77.151) Epoch: [35][2160/11272] Time 0.749 (0.797) Data 0.002 (0.003) Loss 2.1082 (2.0798) Prec@1 43.125 (46.614) Prec@5 78.750 (77.156) Epoch: [35][2170/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 1.9736 (2.0798) Prec@1 48.125 (46.613) Prec@5 78.125 (77.154) Epoch: [35][2180/11272] Time 0.833 (0.797) Data 0.001 (0.003) Loss 1.9694 (2.0802) Prec@1 45.000 (46.602) Prec@5 85.000 (77.144) Epoch: [35][2190/11272] Time 0.866 (0.797) Data 0.002 (0.003) Loss 2.1792 (2.0803) Prec@1 50.000 (46.603) Prec@5 77.500 (77.141) Epoch: [35][2200/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 2.0808 (2.0804) Prec@1 43.750 (46.600) Prec@5 75.625 (77.144) Epoch: [35][2210/11272] Time 0.790 (0.797) Data 0.002 (0.003) Loss 2.4567 (2.0803) Prec@1 36.250 (46.597) Prec@5 72.500 (77.147) Epoch: [35][2220/11272] Time 0.849 (0.797) Data 0.002 (0.003) Loss 2.1771 (2.0805) Prec@1 41.875 (46.582) Prec@5 72.500 (77.147) Epoch: [35][2230/11272] Time 0.746 (0.797) Data 0.003 (0.003) Loss 2.2423 (2.0809) Prec@1 45.000 (46.571) Prec@5 73.750 (77.144) Epoch: [35][2240/11272] Time 0.754 (0.797) Data 0.002 (0.003) Loss 2.1664 (2.0808) Prec@1 51.250 (46.571) Prec@5 78.125 (77.141) Epoch: [35][2250/11272] Time 0.859 (0.797) Data 0.002 (0.003) Loss 2.0392 (2.0811) Prec@1 51.875 (46.565) Prec@5 78.750 (77.136) Epoch: [35][2260/11272] Time 0.852 (0.797) Data 0.002 (0.003) Loss 2.1004 (2.0813) Prec@1 46.875 (46.562) Prec@5 75.625 (77.135) Epoch: [35][2270/11272] Time 0.738 (0.797) Data 0.002 (0.003) Loss 1.9819 (2.0812) Prec@1 43.750 (46.562) Prec@5 81.250 (77.138) Epoch: [35][2280/11272] Time 0.732 (0.797) Data 0.002 (0.003) Loss 2.2117 (2.0812) Prec@1 40.625 (46.558) Prec@5 74.375 (77.138) Epoch: [35][2290/11272] Time 0.867 (0.797) Data 0.002 (0.003) Loss 2.0074 (2.0813) Prec@1 51.875 (46.559) Prec@5 78.750 (77.140) Epoch: [35][2300/11272] Time 0.844 (0.797) Data 0.001 (0.003) Loss 2.0129 (2.0815) Prec@1 53.750 (46.557) Prec@5 75.000 (77.136) Epoch: [35][2310/11272] Time 0.725 (0.797) Data 0.002 (0.003) Loss 2.1095 (2.0813) Prec@1 50.625 (46.562) Prec@5 74.375 (77.142) Epoch: [35][2320/11272] Time 0.734 (0.797) Data 0.001 (0.003) Loss 2.0368 (2.0810) Prec@1 45.000 (46.568) Prec@5 78.750 (77.150) Epoch: [35][2330/11272] Time 0.843 (0.797) Data 0.002 (0.003) Loss 2.2750 (2.0811) Prec@1 41.250 (46.563) Prec@5 75.625 (77.146) Epoch: [35][2340/11272] Time 0.841 (0.797) Data 0.002 (0.003) Loss 1.9979 (2.0812) Prec@1 46.875 (46.554) Prec@5 79.375 (77.149) Epoch: [35][2350/11272] Time 0.759 (0.797) Data 0.002 (0.003) Loss 2.0969 (2.0813) Prec@1 49.375 (46.554) Prec@5 75.625 (77.147) Epoch: [35][2360/11272] Time 0.834 (0.797) Data 0.001 (0.003) Loss 2.1039 (2.0813) Prec@1 40.625 (46.559) Prec@5 77.500 (77.148) Epoch: [35][2370/11272] Time 0.815 (0.797) Data 0.001 (0.003) Loss 2.0874 (2.0814) Prec@1 43.750 (46.551) Prec@5 73.750 (77.153) Epoch: [35][2380/11272] Time 0.731 (0.797) Data 0.001 (0.003) Loss 2.2033 (2.0812) Prec@1 48.125 (46.563) Prec@5 75.625 (77.155) Epoch: [35][2390/11272] Time 0.762 (0.797) Data 0.002 (0.003) Loss 2.0432 (2.0811) Prec@1 45.000 (46.567) Prec@5 77.500 (77.157) Epoch: [35][2400/11272] Time 0.840 (0.797) Data 0.002 (0.003) Loss 1.9808 (2.0810) Prec@1 45.625 (46.568) Prec@5 81.250 (77.156) Epoch: [35][2410/11272] Time 0.827 (0.797) Data 0.002 (0.003) Loss 1.8051 (2.0811) Prec@1 52.500 (46.569) Prec@5 83.125 (77.157) Epoch: [35][2420/11272] Time 0.728 (0.797) Data 0.001 (0.003) Loss 2.0608 (2.0812) Prec@1 50.625 (46.572) Prec@5 78.125 (77.153) Epoch: [35][2430/11272] Time 0.729 (0.797) Data 0.001 (0.003) Loss 2.3763 (2.0812) Prec@1 40.000 (46.575) Prec@5 70.625 (77.150) Epoch: [35][2440/11272] Time 0.891 (0.797) Data 0.002 (0.003) Loss 2.1948 (2.0811) Prec@1 46.875 (46.577) Prec@5 71.875 (77.149) Epoch: [35][2450/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.2834 (2.0813) Prec@1 43.750 (46.575) Prec@5 73.750 (77.149) Epoch: [35][2460/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.2838 (2.0812) Prec@1 40.625 (46.577) Prec@5 71.875 (77.152) Epoch: [35][2470/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.9812 (2.0811) Prec@1 50.625 (46.585) Prec@5 76.250 (77.146) Epoch: [35][2480/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 1.9230 (2.0812) Prec@1 45.000 (46.591) Prec@5 80.000 (77.144) Epoch: [35][2490/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.0783 (2.0812) Prec@1 51.875 (46.594) Prec@5 76.875 (77.142) Epoch: [35][2500/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1813 (2.0812) Prec@1 46.875 (46.592) Prec@5 76.250 (77.140) Epoch: [35][2510/11272] Time 0.900 (0.797) Data 0.001 (0.002) Loss 1.9564 (2.0814) Prec@1 51.250 (46.591) Prec@5 80.000 (77.133) Epoch: [35][2520/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.7281 (2.0814) Prec@1 55.625 (46.591) Prec@5 83.750 (77.132) Epoch: [35][2530/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9410 (2.0815) Prec@1 50.625 (46.586) Prec@5 80.625 (77.132) Epoch: [35][2540/11272] Time 0.764 (0.797) Data 0.003 (0.002) Loss 2.2292 (2.0818) Prec@1 45.625 (46.580) Prec@5 71.250 (77.122) Epoch: [35][2550/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.9128 (2.0816) Prec@1 52.500 (46.581) Prec@5 81.875 (77.126) Epoch: [35][2560/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.2374 (2.0818) Prec@1 41.250 (46.579) Prec@5 75.625 (77.122) Epoch: [35][2570/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.9431 (2.0819) Prec@1 51.875 (46.577) Prec@5 81.250 (77.123) Epoch: [35][2580/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9075 (2.0818) Prec@1 56.250 (46.582) Prec@5 78.750 (77.123) Epoch: [35][2590/11272] Time 0.860 (0.797) Data 0.001 (0.002) Loss 2.0355 (2.0820) Prec@1 45.625 (46.581) Prec@5 76.875 (77.120) Epoch: [35][2600/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.2009 (2.0820) Prec@1 46.250 (46.583) Prec@5 73.125 (77.117) Epoch: [35][2610/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.2970 (2.0820) Prec@1 41.875 (46.577) Prec@5 75.625 (77.118) Epoch: [35][2620/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 2.1495 (2.0821) Prec@1 43.750 (46.574) Prec@5 78.125 (77.117) Epoch: [35][2630/11272] Time 0.860 (0.797) Data 0.001 (0.002) Loss 1.9181 (2.0818) Prec@1 47.500 (46.576) Prec@5 80.625 (77.122) Epoch: [35][2640/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0784 (2.0820) Prec@1 48.750 (46.571) Prec@5 76.250 (77.118) Epoch: [35][2650/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.1272 (2.0822) Prec@1 46.250 (46.563) Prec@5 72.500 (77.112) Epoch: [35][2660/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 2.3106 (2.0822) Prec@1 46.250 (46.561) Prec@5 73.750 (77.114) Epoch: [35][2670/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.0867 (2.0821) Prec@1 48.750 (46.566) Prec@5 77.500 (77.115) Epoch: [35][2680/11272] Time 0.709 (0.797) Data 0.001 (0.002) Loss 1.9475 (2.0821) Prec@1 51.875 (46.570) Prec@5 75.625 (77.119) Epoch: [35][2690/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 2.1721 (2.0822) Prec@1 49.375 (46.572) Prec@5 76.250 (77.120) Epoch: [35][2700/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.8970 (2.0822) Prec@1 51.250 (46.576) Prec@5 78.750 (77.119) Epoch: [35][2710/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.9573 (2.0823) Prec@1 49.375 (46.579) Prec@5 78.750 (77.116) Epoch: [35][2720/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.2499 (2.0824) Prec@1 46.875 (46.580) Prec@5 75.000 (77.114) Epoch: [35][2730/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.0395 (2.0825) Prec@1 49.375 (46.582) Prec@5 80.000 (77.110) Epoch: [35][2740/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0367 (2.0823) Prec@1 42.500 (46.584) Prec@5 78.750 (77.118) Epoch: [35][2750/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.1610 (2.0824) Prec@1 41.250 (46.579) Prec@5 76.875 (77.117) Epoch: [35][2760/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8426 (2.0823) Prec@1 51.875 (46.582) Prec@5 79.375 (77.118) Epoch: [35][2770/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 1.8772 (2.0821) Prec@1 46.875 (46.584) Prec@5 79.375 (77.125) Epoch: [35][2780/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.1452 (2.0820) Prec@1 45.000 (46.579) Prec@5 76.250 (77.126) Epoch: [35][2790/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.8769 (2.0820) Prec@1 52.500 (46.581) Prec@5 83.125 (77.126) Epoch: [35][2800/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0316 (2.0820) Prec@1 48.125 (46.583) Prec@5 78.125 (77.126) Epoch: [35][2810/11272] Time 0.901 (0.797) Data 0.002 (0.002) Loss 2.1475 (2.0819) Prec@1 46.250 (46.587) Prec@5 75.000 (77.127) Epoch: [35][2820/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.0398 (2.0820) Prec@1 46.250 (46.583) Prec@5 78.750 (77.127) Epoch: [35][2830/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.9013 (2.0817) Prec@1 47.500 (46.587) Prec@5 83.750 (77.136) Epoch: [35][2840/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8412 (2.0816) Prec@1 50.000 (46.584) Prec@5 85.625 (77.141) Epoch: [35][2850/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 2.0617 (2.0816) Prec@1 48.125 (46.587) Prec@5 78.750 (77.139) Epoch: [35][2860/11272] Time 0.893 (0.797) Data 0.002 (0.002) Loss 2.0531 (2.0815) Prec@1 48.125 (46.589) Prec@5 76.875 (77.143) Epoch: [35][2870/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8859 (2.0815) Prec@1 48.125 (46.588) Prec@5 81.250 (77.140) Epoch: [35][2880/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.0562 (2.0816) Prec@1 46.875 (46.586) Prec@5 79.375 (77.139) Epoch: [35][2890/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.2608 (2.0817) Prec@1 43.125 (46.587) Prec@5 75.000 (77.136) Epoch: [35][2900/11272] Time 0.746 (0.797) Data 0.003 (0.002) Loss 2.1052 (2.0818) Prec@1 47.500 (46.588) Prec@5 75.625 (77.135) Epoch: [35][2910/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.3259 (2.0817) Prec@1 43.125 (46.590) Prec@5 73.125 (77.138) Epoch: [35][2920/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 1.8966 (2.0816) Prec@1 50.000 (46.588) Prec@5 80.000 (77.140) Epoch: [35][2930/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.1675 (2.0817) Prec@1 46.875 (46.587) Prec@5 78.750 (77.143) Epoch: [35][2940/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1122 (2.0820) Prec@1 45.625 (46.583) Prec@5 80.000 (77.140) Epoch: [35][2950/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.8992 (2.0820) Prec@1 54.375 (46.583) Prec@5 78.750 (77.140) Epoch: [35][2960/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.1785 (2.0819) Prec@1 46.875 (46.586) Prec@5 69.375 (77.140) Epoch: [35][2970/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.8807 (2.0818) Prec@1 50.625 (46.586) Prec@5 80.625 (77.143) Epoch: [35][2980/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.1638 (2.0819) Prec@1 43.750 (46.586) Prec@5 80.000 (77.139) Epoch: [35][2990/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2436 (2.0819) Prec@1 45.625 (46.591) Prec@5 71.875 (77.139) Epoch: [35][3000/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.2040 (2.0820) Prec@1 45.000 (46.589) Prec@5 72.500 (77.139) Epoch: [35][3010/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.0660 (2.0820) Prec@1 43.125 (46.588) Prec@5 79.375 (77.138) Epoch: [35][3020/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 1.9468 (2.0817) Prec@1 47.500 (46.596) Prec@5 78.125 (77.145) Epoch: [35][3030/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 1.9997 (2.0816) Prec@1 50.000 (46.592) Prec@5 79.375 (77.148) Epoch: [35][3040/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.6648 (2.0818) Prec@1 54.375 (46.585) Prec@5 85.625 (77.146) Epoch: [35][3050/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.1924 (2.0821) Prec@1 48.750 (46.580) Prec@5 76.250 (77.142) Epoch: [35][3060/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2007 (2.0822) Prec@1 42.500 (46.573) Prec@5 76.250 (77.142) Epoch: [35][3070/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.6305 (2.0823) Prec@1 54.375 (46.566) Prec@5 85.000 (77.142) Epoch: [35][3080/11272] Time 0.870 (0.797) Data 0.001 (0.002) Loss 1.9013 (2.0820) Prec@1 52.500 (46.575) Prec@5 81.250 (77.145) Epoch: [35][3090/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1765 (2.0824) Prec@1 41.250 (46.565) Prec@5 74.375 (77.138) Epoch: [35][3100/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0340 (2.0826) Prec@1 46.875 (46.566) Prec@5 75.000 (77.137) Epoch: [35][3110/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.2112 (2.0825) Prec@1 43.750 (46.569) Prec@5 74.375 (77.139) Epoch: [35][3120/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.1977 (2.0824) Prec@1 41.875 (46.571) Prec@5 71.250 (77.137) Epoch: [35][3130/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9892 (2.0824) Prec@1 51.250 (46.574) Prec@5 77.500 (77.137) Epoch: [35][3140/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.8262 (2.0823) Prec@1 53.125 (46.578) Prec@5 84.375 (77.140) Epoch: [35][3150/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0097 (2.0823) Prec@1 40.000 (46.571) Prec@5 83.125 (77.142) Epoch: [35][3160/11272] Time 0.737 (0.797) Data 0.003 (0.002) Loss 1.7387 (2.0825) Prec@1 56.250 (46.568) Prec@5 81.250 (77.139) Epoch: [35][3170/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9893 (2.0826) Prec@1 46.250 (46.566) Prec@5 77.500 (77.135) Epoch: [35][3180/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.2494 (2.0826) Prec@1 42.500 (46.561) Prec@5 75.625 (77.135) Epoch: [35][3190/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1491 (2.0826) Prec@1 46.250 (46.560) Prec@5 76.875 (77.136) Epoch: [35][3200/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.9317 (2.0826) Prec@1 50.000 (46.560) Prec@5 80.625 (77.138) Epoch: [35][3210/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 2.1877 (2.0826) Prec@1 46.250 (46.560) Prec@5 75.625 (77.139) Epoch: [35][3220/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 1.8222 (2.0826) Prec@1 46.250 (46.562) Prec@5 82.500 (77.145) Epoch: [35][3230/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 1.9698 (2.0826) Prec@1 43.125 (46.560) Prec@5 78.750 (77.142) Epoch: [35][3240/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 1.9411 (2.0825) Prec@1 50.000 (46.560) Prec@5 78.125 (77.140) Epoch: [35][3250/11272] Time 0.774 (0.797) Data 0.002 (0.002) Loss 2.3026 (2.0825) Prec@1 38.750 (46.559) Prec@5 74.375 (77.139) Epoch: [35][3260/11272] Time 0.891 (0.797) Data 0.002 (0.002) Loss 1.9829 (2.0825) Prec@1 50.000 (46.556) Prec@5 76.875 (77.137) Epoch: [35][3270/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9375 (2.0823) Prec@1 47.500 (46.560) Prec@5 80.000 (77.140) Epoch: [35][3280/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.0616 (2.0825) Prec@1 47.500 (46.555) Prec@5 76.875 (77.137) Epoch: [35][3290/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1451 (2.0824) Prec@1 49.375 (46.558) Prec@5 79.375 (77.140) Epoch: [35][3300/11272] Time 0.862 (0.797) Data 0.001 (0.002) Loss 2.0547 (2.0824) Prec@1 45.000 (46.558) Prec@5 78.750 (77.144) Epoch: [35][3310/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 2.2474 (2.0824) Prec@1 45.000 (46.560) Prec@5 74.375 (77.142) Epoch: [35][3320/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 1.8894 (2.0824) Prec@1 55.625 (46.564) Prec@5 77.500 (77.138) Epoch: [35][3330/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.2182 (2.0826) Prec@1 48.125 (46.565) Prec@5 77.500 (77.137) Epoch: [35][3340/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.8314 (2.0825) Prec@1 50.625 (46.566) Prec@5 80.625 (77.136) Epoch: [35][3350/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 2.0318 (2.0827) Prec@1 46.875 (46.559) Prec@5 76.875 (77.130) Epoch: [35][3360/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.2379 (2.0828) Prec@1 43.750 (46.560) Prec@5 72.500 (77.128) Epoch: [35][3370/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.1379 (2.0825) Prec@1 43.125 (46.560) Prec@5 73.750 (77.129) Epoch: [35][3380/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.1022 (2.0826) Prec@1 44.375 (46.556) Prec@5 78.750 (77.126) Epoch: [35][3390/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2158 (2.0828) Prec@1 42.500 (46.551) Prec@5 72.500 (77.116) Epoch: [35][3400/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.2365 (2.0829) Prec@1 42.500 (46.551) Prec@5 73.125 (77.114) Epoch: [35][3410/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.2107 (2.0832) Prec@1 43.125 (46.544) Prec@5 75.000 (77.114) Epoch: [35][3420/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1102 (2.0833) Prec@1 46.875 (46.542) Prec@5 78.750 (77.115) Epoch: [35][3430/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.0307 (2.0831) Prec@1 44.375 (46.543) Prec@5 76.875 (77.119) Epoch: [35][3440/11272] Time 0.867 (0.797) Data 0.001 (0.002) Loss 1.9633 (2.0831) Prec@1 44.375 (46.537) Prec@5 81.250 (77.120) Epoch: [35][3450/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.0429 (2.0832) Prec@1 48.750 (46.534) Prec@5 77.500 (77.118) Epoch: [35][3460/11272] Time 0.782 (0.797) Data 0.002 (0.002) Loss 1.9455 (2.0832) Prec@1 48.125 (46.534) Prec@5 78.750 (77.119) Epoch: [35][3470/11272] Time 0.781 (0.797) Data 0.001 (0.002) Loss 2.0878 (2.0832) Prec@1 43.750 (46.533) Prec@5 78.750 (77.120) Epoch: [35][3480/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1662 (2.0834) Prec@1 45.000 (46.531) Prec@5 77.500 (77.118) Epoch: [35][3490/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.9553 (2.0835) Prec@1 53.125 (46.530) Prec@5 75.000 (77.112) Epoch: [35][3500/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.2192 (2.0836) Prec@1 40.000 (46.531) Prec@5 75.625 (77.111) Epoch: [35][3510/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.1598 (2.0837) Prec@1 43.125 (46.527) Prec@5 75.000 (77.111) Epoch: [35][3520/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.7659 (2.0838) Prec@1 52.500 (46.525) Prec@5 81.250 (77.109) Epoch: [35][3530/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.0893 (2.0838) Prec@1 41.250 (46.526) Prec@5 76.875 (77.110) Epoch: [35][3540/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.0052 (2.0837) Prec@1 49.375 (46.529) Prec@5 80.625 (77.112) Epoch: [35][3550/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.4118 (2.0838) Prec@1 41.250 (46.527) Prec@5 76.250 (77.111) Epoch: [35][3560/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.0712 (2.0834) Prec@1 48.125 (46.533) Prec@5 74.375 (77.119) Epoch: [35][3570/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0042 (2.0835) Prec@1 44.375 (46.525) Prec@5 81.250 (77.120) Epoch: [35][3580/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.2801 (2.0836) Prec@1 44.375 (46.526) Prec@5 75.625 (77.115) Epoch: [35][3590/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.0141 (2.0833) Prec@1 50.625 (46.531) Prec@5 77.500 (77.121) Epoch: [35][3600/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 2.0072 (2.0833) Prec@1 51.250 (46.533) Prec@5 79.375 (77.123) Epoch: [35][3610/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0049 (2.0832) Prec@1 46.250 (46.536) Prec@5 78.750 (77.126) Epoch: [35][3620/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.1181 (2.0834) Prec@1 45.625 (46.535) Prec@5 78.750 (77.125) Epoch: [35][3630/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.3171 (2.0835) Prec@1 43.750 (46.533) Prec@5 73.125 (77.124) Epoch: [35][3640/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.1473 (2.0836) Prec@1 43.125 (46.530) Prec@5 76.250 (77.127) Epoch: [35][3650/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.0764 (2.0836) Prec@1 48.125 (46.534) Prec@5 76.875 (77.124) Epoch: [35][3660/11272] Time 0.775 (0.797) Data 0.002 (0.002) Loss 2.0626 (2.0838) Prec@1 47.500 (46.529) Prec@5 73.750 (77.121) Epoch: [35][3670/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.0165 (2.0837) Prec@1 48.750 (46.529) Prec@5 76.250 (77.120) Epoch: [35][3680/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1587 (2.0837) Prec@1 45.625 (46.535) Prec@5 75.625 (77.118) Epoch: [35][3690/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.8522 (2.0838) Prec@1 54.375 (46.531) Prec@5 80.000 (77.120) Epoch: [35][3700/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.1343 (2.0837) Prec@1 45.625 (46.531) Prec@5 73.750 (77.118) Epoch: [35][3710/11272] Time 0.908 (0.797) Data 0.002 (0.002) Loss 1.9675 (2.0837) Prec@1 51.875 (46.534) Prec@5 78.750 (77.118) Epoch: [35][3720/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.4073 (2.0838) Prec@1 42.500 (46.537) Prec@5 69.375 (77.117) Epoch: [35][3730/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.9404 (2.0838) Prec@1 47.500 (46.537) Prec@5 81.875 (77.117) Epoch: [35][3740/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.0113 (2.0837) Prec@1 43.125 (46.542) Prec@5 79.375 (77.117) Epoch: [35][3750/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.2286 (2.0838) Prec@1 47.500 (46.544) Prec@5 75.000 (77.117) Epoch: [35][3760/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.2012 (2.0839) Prec@1 41.250 (46.543) Prec@5 77.500 (77.115) Epoch: [35][3770/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 2.1593 (2.0840) Prec@1 50.000 (46.542) Prec@5 75.000 (77.112) Epoch: [35][3780/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.2922 (2.0841) Prec@1 43.750 (46.539) Prec@5 67.500 (77.108) Epoch: [35][3790/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0757 (2.0842) Prec@1 49.375 (46.540) Prec@5 77.500 (77.106) Epoch: [35][3800/11272] Time 0.766 (0.797) Data 0.001 (0.002) Loss 2.1407 (2.0842) Prec@1 45.625 (46.540) Prec@5 77.500 (77.108) Epoch: [35][3810/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0807 (2.0842) Prec@1 46.250 (46.539) Prec@5 76.250 (77.104) Epoch: [35][3820/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.9046 (2.0841) Prec@1 48.750 (46.540) Prec@5 80.000 (77.107) Epoch: [35][3830/11272] Time 0.740 (0.797) Data 0.003 (0.002) Loss 1.9890 (2.0841) Prec@1 51.250 (46.540) Prec@5 80.625 (77.110) Epoch: [35][3840/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1116 (2.0842) Prec@1 51.250 (46.538) Prec@5 78.125 (77.106) Epoch: [35][3850/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.1689 (2.0843) Prec@1 41.875 (46.535) Prec@5 75.625 (77.107) Epoch: [35][3860/11272] Time 0.823 (0.797) Data 0.002 (0.002) Loss 2.0129 (2.0844) Prec@1 46.875 (46.534) Prec@5 78.750 (77.107) Epoch: [35][3870/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.5715 (2.0846) Prec@1 38.750 (46.530) Prec@5 68.125 (77.106) Epoch: [35][3880/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0496 (2.0846) Prec@1 46.250 (46.525) Prec@5 76.250 (77.105) Epoch: [35][3890/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 1.7448 (2.0845) Prec@1 48.750 (46.526) Prec@5 83.125 (77.109) Epoch: [35][3900/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.0445 (2.0845) Prec@1 46.875 (46.524) Prec@5 77.500 (77.109) Epoch: [35][3910/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1445 (2.0845) Prec@1 45.000 (46.527) Prec@5 75.625 (77.108) Epoch: [35][3920/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.1423 (2.0846) Prec@1 45.625 (46.528) Prec@5 73.750 (77.107) Epoch: [35][3930/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1165 (2.0846) Prec@1 45.625 (46.531) Prec@5 81.250 (77.108) Epoch: [35][3940/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 1.9719 (2.0846) Prec@1 51.875 (46.529) Prec@5 80.000 (77.108) Epoch: [35][3950/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.1140 (2.0847) Prec@1 46.250 (46.527) Prec@5 74.375 (77.105) Epoch: [35][3960/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.3328 (2.0847) Prec@1 41.250 (46.530) Prec@5 75.625 (77.106) Epoch: [35][3970/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.9506 (2.0847) Prec@1 50.625 (46.533) Prec@5 80.625 (77.104) Epoch: [35][3980/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 2.0325 (2.0846) Prec@1 47.500 (46.535) Prec@5 75.625 (77.105) Epoch: [35][3990/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9866 (2.0847) Prec@1 47.500 (46.533) Prec@5 77.500 (77.106) Epoch: [35][4000/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.8471 (2.0847) Prec@1 49.375 (46.531) Prec@5 84.375 (77.108) Epoch: [35][4010/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.0996 (2.0846) Prec@1 47.500 (46.533) Prec@5 75.625 (77.107) Epoch: [35][4020/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.1207 (2.0845) Prec@1 41.875 (46.532) Prec@5 73.750 (77.106) Epoch: [35][4030/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.1133 (2.0847) Prec@1 48.125 (46.529) Prec@5 79.375 (77.103) Epoch: [35][4040/11272] Time 0.802 (0.797) Data 0.001 (0.002) Loss 2.1064 (2.0848) Prec@1 44.375 (46.526) Prec@5 75.000 (77.102) Epoch: [35][4050/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.7893 (2.0849) Prec@1 53.125 (46.524) Prec@5 79.375 (77.097) Epoch: [35][4060/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1399 (2.0849) Prec@1 47.500 (46.523) Prec@5 73.750 (77.093) Epoch: [35][4070/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.1952 (2.0851) Prec@1 46.250 (46.522) Prec@5 76.875 (77.092) Epoch: [35][4080/11272] Time 0.812 (0.797) Data 0.001 (0.002) Loss 2.2104 (2.0851) Prec@1 42.500 (46.521) Prec@5 78.125 (77.090) Epoch: [35][4090/11272] Time 0.737 (0.797) Data 0.004 (0.002) Loss 2.1928 (2.0851) Prec@1 37.500 (46.518) Prec@5 76.875 (77.090) Epoch: [35][4100/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0256 (2.0851) Prec@1 43.750 (46.520) Prec@5 76.250 (77.089) Epoch: [35][4110/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9817 (2.0853) Prec@1 48.125 (46.516) Prec@5 74.375 (77.084) Epoch: [35][4120/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.9448 (2.0854) Prec@1 48.750 (46.515) Prec@5 80.625 (77.088) Epoch: [35][4130/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.2775 (2.0855) Prec@1 43.750 (46.514) Prec@5 71.875 (77.085) Epoch: [35][4140/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.2938 (2.0854) Prec@1 41.250 (46.511) Prec@5 70.625 (77.090) Epoch: [35][4150/11272] Time 0.875 (0.797) Data 0.001 (0.002) Loss 2.3744 (2.0855) Prec@1 42.500 (46.507) Prec@5 71.875 (77.088) Epoch: [35][4160/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 2.0370 (2.0854) Prec@1 47.500 (46.509) Prec@5 78.125 (77.090) Epoch: [35][4170/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.2257 (2.0854) Prec@1 45.000 (46.508) Prec@5 78.125 (77.091) Epoch: [35][4180/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0220 (2.0854) Prec@1 50.625 (46.510) Prec@5 76.875 (77.092) Epoch: [35][4190/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.1781 (2.0854) Prec@1 44.375 (46.508) Prec@5 76.875 (77.096) Epoch: [35][4200/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 1.8424 (2.0855) Prec@1 51.250 (46.505) Prec@5 81.875 (77.092) Epoch: [35][4210/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.1037 (2.0855) Prec@1 48.750 (46.508) Prec@5 74.375 (77.092) Epoch: [35][4220/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.1455 (2.0856) Prec@1 43.125 (46.504) Prec@5 77.500 (77.090) Epoch: [35][4230/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.1310 (2.0857) Prec@1 43.750 (46.503) Prec@5 76.250 (77.087) Epoch: [35][4240/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.9098 (2.0855) Prec@1 51.250 (46.506) Prec@5 79.375 (77.092) Epoch: [35][4250/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9170 (2.0856) Prec@1 50.625 (46.502) Prec@5 83.750 (77.093) Epoch: [35][4260/11272] Time 0.859 (0.797) Data 0.001 (0.002) Loss 1.9900 (2.0855) Prec@1 43.125 (46.502) Prec@5 85.000 (77.095) Epoch: [35][4270/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 2.1819 (2.0856) Prec@1 44.375 (46.502) Prec@5 75.000 (77.092) Epoch: [35][4280/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.9413 (2.0856) Prec@1 49.375 (46.505) Prec@5 79.375 (77.093) Epoch: [35][4290/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.0237 (2.0856) Prec@1 48.750 (46.505) Prec@5 81.250 (77.093) Epoch: [35][4300/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 2.0339 (2.0856) Prec@1 46.250 (46.504) Prec@5 76.875 (77.095) Epoch: [35][4310/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 2.0267 (2.0856) Prec@1 44.375 (46.503) Prec@5 79.375 (77.097) Epoch: [35][4320/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.0559 (2.0853) Prec@1 48.750 (46.510) Prec@5 76.250 (77.102) Epoch: [35][4330/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9642 (2.0853) Prec@1 46.250 (46.508) Prec@5 80.000 (77.101) Epoch: [35][4340/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 1.9138 (2.0852) Prec@1 50.000 (46.510) Prec@5 80.000 (77.105) Epoch: [35][4350/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 2.2201 (2.0852) Prec@1 41.250 (46.510) Prec@5 75.625 (77.104) Epoch: [35][4360/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9579 (2.0853) Prec@1 52.500 (46.510) Prec@5 80.000 (77.100) Epoch: [35][4370/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.1167 (2.0851) Prec@1 40.000 (46.509) Prec@5 75.000 (77.103) Epoch: [35][4380/11272] Time 0.866 (0.797) Data 0.001 (0.002) Loss 2.3745 (2.0853) Prec@1 41.875 (46.503) Prec@5 75.000 (77.100) Epoch: [35][4390/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0157 (2.0854) Prec@1 47.500 (46.501) Prec@5 84.375 (77.098) Epoch: [35][4400/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1370 (2.0854) Prec@1 43.750 (46.503) Prec@5 76.250 (77.097) Epoch: [35][4410/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 1.7682 (2.0854) Prec@1 49.375 (46.500) Prec@5 83.125 (77.098) Epoch: [35][4420/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.9880 (2.0852) Prec@1 45.000 (46.503) Prec@5 83.125 (77.105) Epoch: [35][4430/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1510 (2.0851) Prec@1 46.250 (46.506) Prec@5 73.750 (77.108) Epoch: [35][4440/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0612 (2.0851) Prec@1 42.500 (46.502) Prec@5 79.375 (77.109) Epoch: [35][4450/11272] Time 0.917 (0.797) Data 0.001 (0.002) Loss 1.8865 (2.0850) Prec@1 52.500 (46.505) Prec@5 81.250 (77.114) Epoch: [35][4460/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.8312 (2.0849) Prec@1 50.625 (46.507) Prec@5 80.625 (77.116) Epoch: [35][4470/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2451 (2.0851) Prec@1 46.250 (46.504) Prec@5 71.250 (77.113) Epoch: [35][4480/11272] Time 0.757 (0.797) Data 0.001 (0.002) Loss 2.0890 (2.0850) Prec@1 49.375 (46.503) Prec@5 75.625 (77.114) Epoch: [35][4490/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 2.2333 (2.0851) Prec@1 47.500 (46.503) Prec@5 76.250 (77.112) Epoch: [35][4500/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 2.0013 (2.0852) Prec@1 49.375 (46.500) Prec@5 78.750 (77.109) Epoch: [35][4510/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.1112 (2.0853) Prec@1 41.875 (46.496) Prec@5 79.375 (77.107) Epoch: [35][4520/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 1.8788 (2.0852) Prec@1 51.250 (46.496) Prec@5 82.500 (77.107) Epoch: [35][4530/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 2.0717 (2.0852) Prec@1 41.875 (46.496) Prec@5 80.000 (77.108) Epoch: [35][4540/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9938 (2.0852) Prec@1 47.500 (46.495) Prec@5 76.250 (77.107) Epoch: [35][4550/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.3393 (2.0852) Prec@1 43.750 (46.490) Prec@5 73.750 (77.108) Epoch: [35][4560/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 1.9630 (2.0852) Prec@1 50.625 (46.493) Prec@5 81.875 (77.110) Epoch: [35][4570/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0367 (2.0853) Prec@1 46.875 (46.493) Prec@5 76.250 (77.107) Epoch: [35][4580/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 2.2392 (2.0853) Prec@1 39.375 (46.494) Prec@5 73.125 (77.105) Epoch: [35][4590/11272] Time 0.780 (0.797) Data 0.002 (0.002) Loss 2.1808 (2.0852) Prec@1 45.000 (46.494) Prec@5 79.375 (77.107) Epoch: [35][4600/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 2.1535 (2.0852) Prec@1 47.500 (46.493) Prec@5 76.250 (77.108) Epoch: [35][4610/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 2.2160 (2.0851) Prec@1 44.375 (46.496) Prec@5 75.000 (77.109) Epoch: [35][4620/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.8846 (2.0851) Prec@1 51.250 (46.495) Prec@5 80.000 (77.109) Epoch: [35][4630/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 2.0149 (2.0849) Prec@1 49.375 (46.500) Prec@5 76.250 (77.109) Epoch: [35][4640/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.1646 (2.0851) Prec@1 45.000 (46.498) Prec@5 75.625 (77.106) Epoch: [35][4650/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 2.1261 (2.0853) Prec@1 42.500 (46.494) Prec@5 78.125 (77.103) Epoch: [35][4660/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9831 (2.0851) Prec@1 48.750 (46.496) Prec@5 78.125 (77.105) Epoch: [35][4670/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 1.9097 (2.0851) Prec@1 48.750 (46.494) Prec@5 81.875 (77.105) Epoch: [35][4680/11272] Time 0.811 (0.797) Data 0.001 (0.002) Loss 2.2478 (2.0853) Prec@1 41.250 (46.491) Prec@5 71.250 (77.104) Epoch: [35][4690/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.8783 (2.0853) Prec@1 49.375 (46.487) Prec@5 80.000 (77.104) Epoch: [35][4700/11272] Time 0.781 (0.797) Data 0.002 (0.002) Loss 2.0973 (2.0854) Prec@1 48.750 (46.485) Prec@5 75.625 (77.103) Epoch: [35][4710/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0953 (2.0852) Prec@1 48.125 (46.487) Prec@5 76.250 (77.106) Epoch: [35][4720/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.1785 (2.0853) Prec@1 46.875 (46.487) Prec@5 74.375 (77.104) Epoch: [35][4730/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.8706 (2.0852) Prec@1 50.000 (46.491) Prec@5 76.875 (77.106) Epoch: [35][4740/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.3649 (2.0851) Prec@1 41.875 (46.492) Prec@5 70.625 (77.105) Epoch: [35][4750/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.0149 (2.0851) Prec@1 46.875 (46.492) Prec@5 77.500 (77.104) Epoch: [35][4760/11272] Time 0.733 (0.797) Data 0.003 (0.002) Loss 2.0924 (2.0850) Prec@1 43.750 (46.493) Prec@5 76.875 (77.107) Epoch: [35][4770/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.2417 (2.0850) Prec@1 45.000 (46.493) Prec@5 76.875 (77.108) Epoch: [35][4780/11272] Time 0.825 (0.797) Data 0.002 (0.002) Loss 2.0740 (2.0848) Prec@1 53.125 (46.495) Prec@5 77.500 (77.111) Epoch: [35][4790/11272] Time 0.901 (0.797) Data 0.002 (0.002) Loss 2.1927 (2.0850) Prec@1 43.750 (46.493) Prec@5 75.625 (77.108) Epoch: [35][4800/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 2.0799 (2.0851) Prec@1 46.875 (46.490) Prec@5 76.875 (77.107) Epoch: [35][4810/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.0443 (2.0851) Prec@1 46.250 (46.492) Prec@5 78.125 (77.109) Epoch: [35][4820/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.8762 (2.0850) Prec@1 52.500 (46.491) Prec@5 83.125 (77.110) Epoch: [35][4830/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 1.9685 (2.0851) Prec@1 47.500 (46.493) Prec@5 79.375 (77.109) Epoch: [35][4840/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.0171 (2.0851) Prec@1 41.875 (46.492) Prec@5 78.750 (77.112) Epoch: [35][4850/11272] Time 0.768 (0.797) Data 0.001 (0.002) Loss 2.2078 (2.0851) Prec@1 44.375 (46.488) Prec@5 77.500 (77.110) Epoch: [35][4860/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 2.1416 (2.0853) Prec@1 46.875 (46.485) Prec@5 71.875 (77.107) Epoch: [35][4870/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 2.0789 (2.0852) Prec@1 49.375 (46.485) Prec@5 75.000 (77.109) Epoch: [35][4880/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9085 (2.0852) Prec@1 51.250 (46.488) Prec@5 77.500 (77.109) Epoch: [35][4890/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.0339 (2.0853) Prec@1 44.375 (46.485) Prec@5 78.125 (77.108) Epoch: [35][4900/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.1542 (2.0855) Prec@1 46.250 (46.483) Prec@5 80.625 (77.107) Epoch: [35][4910/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 1.9848 (2.0856) Prec@1 48.750 (46.481) Prec@5 77.500 (77.105) Epoch: [35][4920/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.0982 (2.0855) Prec@1 40.000 (46.479) Prec@5 77.500 (77.107) Epoch: [35][4930/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 1.9347 (2.0854) Prec@1 53.750 (46.487) Prec@5 76.875 (77.108) Epoch: [35][4940/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.0300 (2.0853) Prec@1 46.875 (46.490) Prec@5 80.625 (77.110) Epoch: [35][4950/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.0759 (2.0853) Prec@1 41.250 (46.491) Prec@5 74.375 (77.112) Epoch: [35][4960/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1422 (2.0854) Prec@1 44.375 (46.491) Prec@5 75.625 (77.110) Epoch: [35][4970/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.8741 (2.0853) Prec@1 50.625 (46.493) Prec@5 81.875 (77.115) Epoch: [35][4980/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 1.9610 (2.0853) Prec@1 50.625 (46.491) Prec@5 80.625 (77.113) Epoch: [35][4990/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9187 (2.0854) Prec@1 50.625 (46.490) Prec@5 80.625 (77.110) Epoch: [35][5000/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.0716 (2.0853) Prec@1 49.375 (46.492) Prec@5 76.250 (77.110) Epoch: [35][5010/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.9074 (2.0854) Prec@1 46.250 (46.490) Prec@5 81.875 (77.109) Epoch: [35][5020/11272] Time 0.767 (0.797) Data 0.004 (0.002) Loss 1.9454 (2.0854) Prec@1 50.000 (46.490) Prec@5 78.125 (77.108) Epoch: [35][5030/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.4747 (2.0854) Prec@1 38.750 (46.490) Prec@5 70.000 (77.107) Epoch: [35][5040/11272] Time 0.884 (0.797) Data 0.001 (0.002) Loss 2.1600 (2.0853) Prec@1 51.250 (46.494) Prec@5 73.750 (77.109) Epoch: [35][5050/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 1.9081 (2.0853) Prec@1 55.000 (46.499) Prec@5 77.500 (77.109) Epoch: [35][5060/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.3607 (2.0852) Prec@1 40.000 (46.501) Prec@5 73.750 (77.111) Epoch: [35][5070/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0396 (2.0852) Prec@1 46.875 (46.499) Prec@5 78.750 (77.110) Epoch: [35][5080/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.1585 (2.0852) Prec@1 41.875 (46.500) Prec@5 73.750 (77.110) Epoch: [35][5090/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.0542 (2.0852) Prec@1 45.625 (46.498) Prec@5 78.125 (77.110) Epoch: [35][5100/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 2.0486 (2.0853) Prec@1 47.500 (46.498) Prec@5 78.750 (77.110) Epoch: [35][5110/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.9432 (2.0854) Prec@1 48.750 (46.496) Prec@5 76.250 (77.108) Epoch: [35][5120/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.0987 (2.0854) Prec@1 43.750 (46.494) Prec@5 76.875 (77.107) Epoch: [35][5130/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 2.2196 (2.0854) Prec@1 41.875 (46.494) Prec@5 71.250 (77.109) Epoch: [35][5140/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.3330 (2.0855) Prec@1 38.750 (46.493) Prec@5 71.250 (77.106) Epoch: [35][5150/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.0978 (2.0856) Prec@1 49.375 (46.491) Prec@5 76.875 (77.103) Epoch: [35][5160/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0611 (2.0855) Prec@1 43.750 (46.492) Prec@5 78.125 (77.105) Epoch: [35][5170/11272] Time 0.756 (0.797) Data 0.001 (0.002) Loss 2.0278 (2.0855) Prec@1 45.000 (46.493) Prec@5 79.375 (77.105) Epoch: [35][5180/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9917 (2.0855) Prec@1 50.000 (46.495) Prec@5 77.500 (77.103) Epoch: [35][5190/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9271 (2.0854) Prec@1 47.500 (46.497) Prec@5 83.125 (77.105) Epoch: [35][5200/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0471 (2.0853) Prec@1 40.625 (46.502) Prec@5 72.500 (77.104) Epoch: [35][5210/11272] Time 0.722 (0.797) Data 0.001 (0.002) Loss 1.9224 (2.0854) Prec@1 53.750 (46.507) Prec@5 78.750 (77.102) Epoch: [35][5220/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.3061 (2.0854) Prec@1 41.250 (46.507) Prec@5 73.125 (77.102) Epoch: [35][5230/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.0666 (2.0853) Prec@1 50.625 (46.508) Prec@5 78.125 (77.103) Epoch: [35][5240/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.8408 (2.0854) Prec@1 53.750 (46.511) Prec@5 80.000 (77.103) Epoch: [35][5250/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.8018 (2.0853) Prec@1 55.000 (46.512) Prec@5 82.500 (77.104) Epoch: [35][5260/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3051 (2.0854) Prec@1 45.000 (46.511) Prec@5 75.000 (77.102) Epoch: [35][5270/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.1222 (2.0853) Prec@1 48.125 (46.512) Prec@5 78.125 (77.105) Epoch: [35][5280/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.3935 (2.0853) Prec@1 46.250 (46.512) Prec@5 73.750 (77.106) Epoch: [35][5290/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 1.9720 (2.0855) Prec@1 46.875 (46.509) Prec@5 80.625 (77.101) Epoch: [35][5300/11272] Time 0.790 (0.797) Data 0.001 (0.002) Loss 2.2748 (2.0855) Prec@1 39.375 (46.509) Prec@5 72.500 (77.103) Epoch: [35][5310/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.1651 (2.0856) Prec@1 43.125 (46.511) Prec@5 73.125 (77.102) Epoch: [35][5320/11272] Time 0.782 (0.797) Data 0.002 (0.002) Loss 1.9324 (2.0857) Prec@1 48.750 (46.512) Prec@5 83.125 (77.102) Epoch: [35][5330/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.7704 (2.0855) Prec@1 51.250 (46.513) Prec@5 80.000 (77.106) Epoch: [35][5340/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0309 (2.0854) Prec@1 48.750 (46.513) Prec@5 78.125 (77.108) Epoch: [35][5350/11272] Time 0.864 (0.797) Data 0.001 (0.002) Loss 2.3179 (2.0855) Prec@1 45.625 (46.514) Prec@5 71.875 (77.106) Epoch: [35][5360/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.1798 (2.0855) Prec@1 40.625 (46.512) Prec@5 73.750 (77.104) Epoch: [35][5370/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 2.0592 (2.0856) Prec@1 46.250 (46.513) Prec@5 75.625 (77.102) Epoch: [35][5380/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 2.0306 (2.0855) Prec@1 41.250 (46.512) Prec@5 76.875 (77.102) Epoch: [35][5390/11272] Time 0.904 (0.797) Data 0.002 (0.002) Loss 2.3849 (2.0857) Prec@1 39.375 (46.506) Prec@5 74.375 (77.097) Epoch: [35][5400/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0784 (2.0857) Prec@1 43.750 (46.507) Prec@5 79.375 (77.098) Epoch: [35][5410/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.8974 (2.0858) Prec@1 53.125 (46.505) Prec@5 78.125 (77.096) Epoch: [35][5420/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.0240 (2.0858) Prec@1 48.125 (46.504) Prec@5 80.000 (77.095) Epoch: [35][5430/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.3890 (2.0860) Prec@1 37.500 (46.501) Prec@5 75.000 (77.092) Epoch: [35][5440/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.0558 (2.0860) Prec@1 46.875 (46.499) Prec@5 78.750 (77.091) Epoch: [35][5450/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 2.0993 (2.0861) Prec@1 49.375 (46.500) Prec@5 77.500 (77.088) Epoch: [35][5460/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 2.0747 (2.0862) Prec@1 50.000 (46.499) Prec@5 80.000 (77.088) Epoch: [35][5470/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 1.7888 (2.0863) Prec@1 45.625 (46.494) Prec@5 84.375 (77.086) Epoch: [35][5480/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.8099 (2.0864) Prec@1 48.125 (46.491) Prec@5 82.500 (77.086) Epoch: [35][5490/11272] Time 0.800 (0.797) Data 0.002 (0.002) Loss 2.1743 (2.0864) Prec@1 43.750 (46.491) Prec@5 75.000 (77.086) Epoch: [35][5500/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 2.1034 (2.0864) Prec@1 44.375 (46.490) Prec@5 75.000 (77.087) Epoch: [35][5510/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.9509 (2.0866) Prec@1 48.750 (46.488) Prec@5 78.750 (77.083) Epoch: [35][5520/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0162 (2.0866) Prec@1 45.625 (46.488) Prec@5 76.875 (77.082) Epoch: [35][5530/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.1012 (2.0866) Prec@1 45.625 (46.484) Prec@5 76.875 (77.082) Epoch: [35][5540/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9649 (2.0867) Prec@1 46.875 (46.486) Prec@5 81.250 (77.082) Epoch: [35][5550/11272] Time 0.779 (0.797) Data 0.002 (0.002) Loss 2.1700 (2.0869) Prec@1 41.875 (46.480) Prec@5 78.125 (77.080) Epoch: [35][5560/11272] Time 0.815 (0.797) Data 0.002 (0.002) Loss 2.2342 (2.0870) Prec@1 46.875 (46.480) Prec@5 76.250 (77.079) Epoch: [35][5570/11272] Time 0.915 (0.797) Data 0.001 (0.002) Loss 2.0581 (2.0871) Prec@1 45.625 (46.477) Prec@5 76.250 (77.076) Epoch: [35][5580/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 2.1937 (2.0872) Prec@1 46.250 (46.474) Prec@5 76.875 (77.075) Epoch: [35][5590/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0157 (2.0872) Prec@1 46.250 (46.472) Prec@5 80.000 (77.075) Epoch: [35][5600/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.1369 (2.0872) Prec@1 45.625 (46.471) Prec@5 75.625 (77.073) Epoch: [35][5610/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 2.3047 (2.0873) Prec@1 39.375 (46.469) Prec@5 72.500 (77.069) Epoch: [35][5620/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.3148 (2.0874) Prec@1 38.125 (46.468) Prec@5 78.125 (77.070) Epoch: [35][5630/11272] Time 0.778 (0.797) Data 0.002 (0.002) Loss 1.9989 (2.0874) Prec@1 48.750 (46.464) Prec@5 76.250 (77.071) Epoch: [35][5640/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9710 (2.0875) Prec@1 47.500 (46.462) Prec@5 79.375 (77.070) Epoch: [35][5650/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 2.0600 (2.0876) Prec@1 44.375 (46.459) Prec@5 77.500 (77.068) Epoch: [35][5660/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.0314 (2.0875) Prec@1 46.875 (46.460) Prec@5 75.625 (77.067) Epoch: [35][5670/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.1844 (2.0875) Prec@1 48.125 (46.461) Prec@5 75.625 (77.069) Epoch: [35][5680/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.9372 (2.0876) Prec@1 53.125 (46.462) Prec@5 79.375 (77.065) Epoch: [35][5690/11272] Time 0.739 (0.797) Data 0.003 (0.002) Loss 1.9569 (2.0875) Prec@1 48.750 (46.463) Prec@5 80.000 (77.066) Epoch: [35][5700/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 2.1288 (2.0875) Prec@1 41.875 (46.462) Prec@5 76.875 (77.067) Epoch: [35][5710/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.1433 (2.0874) Prec@1 45.625 (46.463) Prec@5 75.000 (77.067) Epoch: [35][5720/11272] Time 0.894 (0.797) Data 0.002 (0.002) Loss 1.9162 (2.0875) Prec@1 52.500 (46.461) Prec@5 78.750 (77.064) Epoch: [35][5730/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 2.1368 (2.0874) Prec@1 41.875 (46.464) Prec@5 78.125 (77.066) Epoch: [35][5740/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 2.1607 (2.0875) Prec@1 45.625 (46.462) Prec@5 78.125 (77.062) Epoch: [35][5750/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.3982 (2.0876) Prec@1 40.000 (46.460) Prec@5 75.000 (77.062) Epoch: [35][5760/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 2.1123 (2.0875) Prec@1 48.750 (46.458) Prec@5 73.750 (77.062) Epoch: [35][5770/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.8802 (2.0875) Prec@1 53.125 (46.461) Prec@5 77.500 (77.062) Epoch: [35][5780/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.9842 (2.0875) Prec@1 50.625 (46.461) Prec@5 79.375 (77.062) Epoch: [35][5790/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 1.9313 (2.0876) Prec@1 44.375 (46.458) Prec@5 78.750 (77.059) Epoch: [35][5800/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.1663 (2.0877) Prec@1 44.375 (46.458) Prec@5 75.000 (77.058) Epoch: [35][5810/11272] Time 0.797 (0.797) Data 0.002 (0.002) Loss 2.0905 (2.0876) Prec@1 52.500 (46.461) Prec@5 77.500 (77.058) Epoch: [35][5820/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.1317 (2.0877) Prec@1 45.625 (46.459) Prec@5 76.250 (77.056) Epoch: [35][5830/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 2.2678 (2.0877) Prec@1 41.875 (46.460) Prec@5 73.750 (77.055) Epoch: [35][5840/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 1.9806 (2.0877) Prec@1 50.000 (46.461) Prec@5 77.500 (77.055) Epoch: [35][5850/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.2990 (2.0877) Prec@1 47.500 (46.461) Prec@5 74.375 (77.056) Epoch: [35][5860/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 2.0819 (2.0876) Prec@1 47.500 (46.461) Prec@5 75.625 (77.056) Epoch: [35][5870/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 1.8539 (2.0877) Prec@1 46.250 (46.460) Prec@5 81.875 (77.056) Epoch: [35][5880/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.1273 (2.0877) Prec@1 46.250 (46.460) Prec@5 77.500 (77.055) Epoch: [35][5890/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 2.0233 (2.0875) Prec@1 48.125 (46.463) Prec@5 80.000 (77.058) Epoch: [35][5900/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.0835 (2.0876) Prec@1 46.875 (46.460) Prec@5 76.250 (77.056) Epoch: [35][5910/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.9736 (2.0876) Prec@1 46.875 (46.462) Prec@5 78.750 (77.057) Epoch: [35][5920/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.1269 (2.0876) Prec@1 50.000 (46.465) Prec@5 76.250 (77.058) Epoch: [35][5930/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 2.0690 (2.0875) Prec@1 45.000 (46.462) Prec@5 81.250 (77.063) Epoch: [35][5940/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 1.8736 (2.0876) Prec@1 50.000 (46.461) Prec@5 78.750 (77.063) Epoch: [35][5950/11272] Time 0.749 (0.797) Data 0.003 (0.002) Loss 2.0076 (2.0875) Prec@1 47.500 (46.462) Prec@5 83.125 (77.065) Epoch: [35][5960/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 2.1141 (2.0875) Prec@1 44.375 (46.464) Prec@5 76.875 (77.066) Epoch: [35][5970/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 1.8401 (2.0875) Prec@1 53.125 (46.462) Prec@5 80.000 (77.066) Epoch: [35][5980/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.0362 (2.0875) Prec@1 54.375 (46.464) Prec@5 78.125 (77.065) Epoch: [35][5990/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0606 (2.0875) Prec@1 47.500 (46.465) Prec@5 78.750 (77.066) Epoch: [35][6000/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.1452 (2.0874) Prec@1 49.375 (46.466) Prec@5 76.250 (77.070) Epoch: [35][6010/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 2.1044 (2.0875) Prec@1 50.625 (46.465) Prec@5 73.750 (77.069) Epoch: [35][6020/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.2949 (2.0876) Prec@1 40.625 (46.462) Prec@5 71.875 (77.068) Epoch: [35][6030/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.8979 (2.0876) Prec@1 51.250 (46.464) Prec@5 80.000 (77.067) Epoch: [35][6040/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.8550 (2.0877) Prec@1 48.750 (46.463) Prec@5 80.625 (77.065) Epoch: [35][6050/11272] Time 0.892 (0.797) Data 0.002 (0.002) Loss 2.0425 (2.0878) Prec@1 44.375 (46.460) Prec@5 84.375 (77.065) Epoch: [35][6060/11272] Time 0.859 (0.797) Data 0.001 (0.002) Loss 2.1564 (2.0879) Prec@1 45.000 (46.459) Prec@5 76.875 (77.063) Epoch: [35][6070/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.0465 (2.0879) Prec@1 48.125 (46.457) Prec@5 75.625 (77.063) Epoch: [35][6080/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 2.1637 (2.0879) Prec@1 44.375 (46.456) Prec@5 75.000 (77.063) Epoch: [35][6090/11272] Time 0.922 (0.797) Data 0.002 (0.002) Loss 2.0441 (2.0879) Prec@1 49.375 (46.455) Prec@5 76.875 (77.064) Epoch: [35][6100/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 2.0446 (2.0880) Prec@1 46.250 (46.455) Prec@5 76.875 (77.063) Epoch: [35][6110/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.1755 (2.0880) Prec@1 47.500 (46.451) Prec@5 75.000 (77.060) Epoch: [35][6120/11272] Time 0.849 (0.797) Data 0.001 (0.002) Loss 2.3844 (2.0880) Prec@1 43.125 (46.451) Prec@5 70.625 (77.062) Epoch: [35][6130/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9911 (2.0881) Prec@1 46.250 (46.451) Prec@5 77.500 (77.058) Epoch: [35][6140/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.2277 (2.0881) Prec@1 49.375 (46.450) Prec@5 73.750 (77.057) Epoch: [35][6150/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.1196 (2.0880) Prec@1 46.250 (46.449) Prec@5 75.000 (77.058) Epoch: [35][6160/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.2122 (2.0880) Prec@1 45.625 (46.450) Prec@5 75.000 (77.060) Epoch: [35][6170/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.9434 (2.0881) Prec@1 49.375 (46.449) Prec@5 78.125 (77.059) Epoch: [35][6180/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 2.0935 (2.0880) Prec@1 44.375 (46.450) Prec@5 73.750 (77.060) Epoch: [35][6190/11272] Time 0.712 (0.797) Data 0.001 (0.002) Loss 2.3014 (2.0881) Prec@1 43.125 (46.448) Prec@5 70.625 (77.057) Epoch: [35][6200/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.0149 (2.0881) Prec@1 50.625 (46.448) Prec@5 79.375 (77.059) Epoch: [35][6210/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1884 (2.0882) Prec@1 41.875 (46.447) Prec@5 74.375 (77.058) Epoch: [35][6220/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0211 (2.0881) Prec@1 45.000 (46.449) Prec@5 77.500 (77.058) Epoch: [35][6230/11272] Time 0.887 (0.797) Data 0.001 (0.002) Loss 2.0482 (2.0882) Prec@1 47.500 (46.444) Prec@5 76.875 (77.055) Epoch: [35][6240/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1045 (2.0881) Prec@1 45.000 (46.445) Prec@5 77.500 (77.058) Epoch: [35][6250/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0727 (2.0882) Prec@1 48.125 (46.443) Prec@5 73.125 (77.056) Epoch: [35][6260/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.2398 (2.0882) Prec@1 41.250 (46.443) Prec@5 75.625 (77.057) Epoch: [35][6270/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.8893 (2.0882) Prec@1 48.750 (46.442) Prec@5 81.250 (77.059) Epoch: [35][6280/11272] Time 0.867 (0.797) Data 0.001 (0.002) Loss 2.1037 (2.0883) Prec@1 45.000 (46.441) Prec@5 76.875 (77.056) Epoch: [35][6290/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.0188 (2.0883) Prec@1 46.250 (46.443) Prec@5 80.000 (77.058) Epoch: [35][6300/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9476 (2.0881) Prec@1 49.375 (46.448) Prec@5 80.000 (77.061) Epoch: [35][6310/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.1565 (2.0882) Prec@1 45.000 (46.447) Prec@5 76.250 (77.060) Epoch: [35][6320/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 1.9296 (2.0883) Prec@1 51.875 (46.444) Prec@5 79.375 (77.059) Epoch: [35][6330/11272] Time 0.751 (0.797) Data 0.002 (0.002) Loss 1.9744 (2.0883) Prec@1 47.500 (46.448) Prec@5 82.500 (77.059) Epoch: [35][6340/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 2.1878 (2.0884) Prec@1 44.375 (46.446) Prec@5 72.500 (77.057) Epoch: [35][6350/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 1.9638 (2.0883) Prec@1 46.875 (46.451) Prec@5 78.750 (77.057) Epoch: [35][6360/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.2535 (2.0884) Prec@1 42.500 (46.450) Prec@5 73.750 (77.056) Epoch: [35][6370/11272] Time 0.756 (0.797) Data 0.001 (0.002) Loss 1.9120 (2.0884) Prec@1 55.000 (46.450) Prec@5 83.750 (77.056) Epoch: [35][6380/11272] Time 0.865 (0.797) Data 0.003 (0.002) Loss 2.1711 (2.0885) Prec@1 41.875 (46.448) Prec@5 75.625 (77.054) Epoch: [35][6390/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.0824 (2.0884) Prec@1 51.875 (46.449) Prec@5 78.750 (77.055) Epoch: [35][6400/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.8976 (2.0884) Prec@1 54.375 (46.449) Prec@5 80.000 (77.054) Epoch: [35][6410/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9600 (2.0886) Prec@1 48.750 (46.444) Prec@5 81.875 (77.052) Epoch: [35][6420/11272] Time 0.811 (0.797) Data 0.001 (0.002) Loss 2.2573 (2.0885) Prec@1 45.000 (46.443) Prec@5 70.625 (77.054) Epoch: [35][6430/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.9480 (2.0885) Prec@1 48.750 (46.445) Prec@5 78.750 (77.054) Epoch: [35][6440/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.2388 (2.0885) Prec@1 48.125 (46.446) Prec@5 72.500 (77.053) Epoch: [35][6450/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.1193 (2.0885) Prec@1 46.875 (46.446) Prec@5 73.125 (77.051) Epoch: [35][6460/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0639 (2.0885) Prec@1 46.875 (46.446) Prec@5 79.375 (77.052) Epoch: [35][6470/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 1.8949 (2.0885) Prec@1 47.500 (46.444) Prec@5 80.000 (77.052) Epoch: [35][6480/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.2936 (2.0887) Prec@1 41.875 (46.441) Prec@5 75.625 (77.051) Epoch: [35][6490/11272] Time 0.810 (0.797) Data 0.002 (0.002) Loss 2.1148 (2.0887) Prec@1 49.375 (46.441) Prec@5 76.250 (77.051) Epoch: [35][6500/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.2199 (2.0888) Prec@1 40.625 (46.438) Prec@5 74.375 (77.049) Epoch: [35][6510/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.0752 (2.0887) Prec@1 49.375 (46.441) Prec@5 76.250 (77.051) Epoch: [35][6520/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.2552 (2.0888) Prec@1 44.375 (46.439) Prec@5 69.375 (77.050) Epoch: [35][6530/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 1.8745 (2.0888) Prec@1 49.375 (46.438) Prec@5 84.375 (77.050) Epoch: [35][6540/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.7447 (2.0887) Prec@1 56.875 (46.440) Prec@5 87.500 (77.053) Epoch: [35][6550/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.2120 (2.0887) Prec@1 44.375 (46.440) Prec@5 76.875 (77.055) Epoch: [35][6560/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9819 (2.0887) Prec@1 51.875 (46.441) Prec@5 77.500 (77.056) Epoch: [35][6570/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.1886 (2.0887) Prec@1 46.250 (46.439) Prec@5 73.750 (77.055) Epoch: [35][6580/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1159 (2.0888) Prec@1 48.125 (46.438) Prec@5 73.750 (77.052) Epoch: [35][6590/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0682 (2.0887) Prec@1 48.125 (46.439) Prec@5 76.875 (77.053) Epoch: [35][6600/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.2333 (2.0888) Prec@1 46.875 (46.437) Prec@5 71.250 (77.052) Epoch: [35][6610/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.3470 (2.0888) Prec@1 38.750 (46.436) Prec@5 78.125 (77.053) Epoch: [35][6620/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.3104 (2.0888) Prec@1 46.875 (46.436) Prec@5 74.375 (77.054) Epoch: [35][6630/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.1557 (2.0888) Prec@1 46.250 (46.436) Prec@5 71.250 (77.053) Epoch: [35][6640/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 2.1725 (2.0888) Prec@1 48.750 (46.437) Prec@5 75.000 (77.053) Epoch: [35][6650/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 2.0529 (2.0889) Prec@1 48.125 (46.436) Prec@5 77.500 (77.053) Epoch: [35][6660/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.1547 (2.0888) Prec@1 42.500 (46.436) Prec@5 75.625 (77.053) Epoch: [35][6670/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0248 (2.0888) Prec@1 43.750 (46.435) Prec@5 81.250 (77.054) Epoch: [35][6680/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.9861 (2.0889) Prec@1 45.000 (46.435) Prec@5 75.625 (77.052) Epoch: [35][6690/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 2.3192 (2.0890) Prec@1 42.500 (46.433) Prec@5 72.500 (77.049) Epoch: [35][6700/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1288 (2.0890) Prec@1 45.000 (46.433) Prec@5 75.625 (77.048) Epoch: [35][6710/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.0828 (2.0891) Prec@1 44.375 (46.430) Prec@5 78.125 (77.046) Epoch: [35][6720/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0861 (2.0892) Prec@1 48.125 (46.429) Prec@5 76.875 (77.045) Epoch: [35][6730/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.3829 (2.0891) Prec@1 41.875 (46.428) Prec@5 74.375 (77.046) Epoch: [35][6740/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 1.9868 (2.0890) Prec@1 46.250 (46.429) Prec@5 79.375 (77.048) Epoch: [35][6750/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 1.9805 (2.0891) Prec@1 48.750 (46.429) Prec@5 78.750 (77.049) Epoch: [35][6760/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 2.4022 (2.0891) Prec@1 39.375 (46.428) Prec@5 71.250 (77.048) Epoch: [35][6770/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 2.2127 (2.0891) Prec@1 44.375 (46.428) Prec@5 74.375 (77.048) Epoch: [35][6780/11272] Time 0.791 (0.798) Data 0.002 (0.002) Loss 1.9188 (2.0892) Prec@1 50.000 (46.427) Prec@5 80.000 (77.048) Epoch: [35][6790/11272] Time 0.876 (0.798) Data 0.003 (0.002) Loss 1.8666 (2.0892) Prec@1 50.625 (46.425) Prec@5 80.625 (77.049) Epoch: [35][6800/11272] Time 0.893 (0.798) Data 0.002 (0.002) Loss 2.0003 (2.0892) Prec@1 49.375 (46.426) Prec@5 81.875 (77.051) Epoch: [35][6810/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.9864 (2.0892) Prec@1 46.875 (46.424) Prec@5 76.875 (77.051) Epoch: [35][6820/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 2.3069 (2.0892) Prec@1 43.125 (46.424) Prec@5 73.750 (77.050) Epoch: [35][6830/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.2644 (2.0892) Prec@1 43.125 (46.423) Prec@5 72.500 (77.050) Epoch: [35][6840/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 2.0018 (2.0892) Prec@1 45.000 (46.423) Prec@5 78.750 (77.051) Epoch: [35][6850/11272] Time 0.763 (0.798) Data 0.002 (0.002) Loss 2.1289 (2.0891) Prec@1 44.375 (46.425) Prec@5 75.000 (77.052) Epoch: [35][6860/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.1935 (2.0892) Prec@1 41.875 (46.422) Prec@5 76.875 (77.051) Epoch: [35][6870/11272] Time 0.867 (0.798) Data 0.002 (0.002) Loss 2.2253 (2.0891) Prec@1 45.625 (46.424) Prec@5 75.625 (77.052) Epoch: [35][6880/11272] Time 0.735 (0.798) Data 0.003 (0.002) Loss 2.0632 (2.0891) Prec@1 43.750 (46.424) Prec@5 75.000 (77.051) Epoch: [35][6890/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.1584 (2.0891) Prec@1 46.875 (46.424) Prec@5 76.250 (77.051) Epoch: [35][6900/11272] Time 0.857 (0.798) Data 0.001 (0.002) Loss 1.8188 (2.0890) Prec@1 53.125 (46.425) Prec@5 85.625 (77.054) Epoch: [35][6910/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0432 (2.0890) Prec@1 45.625 (46.424) Prec@5 78.750 (77.055) Epoch: [35][6920/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.9566 (2.0889) Prec@1 48.125 (46.424) Prec@5 78.125 (77.055) Epoch: [35][6930/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.0666 (2.0889) Prec@1 43.750 (46.425) Prec@5 80.625 (77.056) Epoch: [35][6940/11272] Time 0.892 (0.798) Data 0.002 (0.002) Loss 2.4485 (2.0889) Prec@1 39.375 (46.423) Prec@5 67.500 (77.056) Epoch: [35][6950/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.2403 (2.0890) Prec@1 46.875 (46.424) Prec@5 75.625 (77.054) Epoch: [35][6960/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.0467 (2.0891) Prec@1 45.625 (46.422) Prec@5 80.000 (77.053) Epoch: [35][6970/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.9200 (2.0891) Prec@1 50.000 (46.423) Prec@5 77.500 (77.051) Epoch: [35][6980/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 2.3069 (2.0892) Prec@1 43.750 (46.423) Prec@5 74.375 (77.050) Epoch: [35][6990/11272] Time 0.862 (0.798) Data 0.002 (0.002) Loss 2.1393 (2.0891) Prec@1 48.750 (46.423) Prec@5 73.750 (77.050) Epoch: [35][7000/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.1129 (2.0892) Prec@1 49.375 (46.425) Prec@5 79.375 (77.050) Epoch: [35][7010/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.1484 (2.0892) Prec@1 46.875 (46.425) Prec@5 73.125 (77.048) Epoch: [35][7020/11272] Time 0.874 (0.798) Data 0.002 (0.002) Loss 1.9632 (2.0891) Prec@1 46.875 (46.424) Prec@5 78.750 (77.051) Epoch: [35][7030/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 1.7447 (2.0889) Prec@1 54.375 (46.424) Prec@5 82.500 (77.053) Epoch: [35][7040/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.0123 (2.0889) Prec@1 49.375 (46.425) Prec@5 77.500 (77.052) Epoch: [35][7050/11272] Time 0.902 (0.798) Data 0.002 (0.002) Loss 2.3508 (2.0890) Prec@1 40.000 (46.425) Prec@5 72.500 (77.051) Epoch: [35][7060/11272] Time 0.845 (0.798) Data 0.003 (0.002) Loss 2.1188 (2.0890) Prec@1 45.625 (46.424) Prec@5 76.875 (77.050) Epoch: [35][7070/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.0616 (2.0891) Prec@1 51.875 (46.423) Prec@5 75.625 (77.048) Epoch: [35][7080/11272] Time 0.743 (0.798) Data 0.001 (0.002) Loss 2.2010 (2.0891) Prec@1 40.625 (46.424) Prec@5 78.750 (77.049) Epoch: [35][7090/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.0589 (2.0891) Prec@1 45.000 (46.423) Prec@5 76.875 (77.049) Epoch: [35][7100/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.0239 (2.0891) Prec@1 43.125 (46.426) Prec@5 83.750 (77.050) Epoch: [35][7110/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 1.8725 (2.0891) Prec@1 49.375 (46.425) Prec@5 80.000 (77.050) Epoch: [35][7120/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 2.4594 (2.0892) Prec@1 42.500 (46.424) Prec@5 73.125 (77.048) Epoch: [35][7130/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 1.9870 (2.0892) Prec@1 48.750 (46.425) Prec@5 77.500 (77.048) Epoch: [35][7140/11272] Time 0.877 (0.798) Data 0.002 (0.002) Loss 1.9325 (2.0892) Prec@1 51.875 (46.427) Prec@5 78.125 (77.048) Epoch: [35][7150/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 2.2148 (2.0893) Prec@1 43.750 (46.423) Prec@5 71.875 (77.045) Epoch: [35][7160/11272] Time 0.881 (0.798) Data 0.001 (0.002) Loss 1.9910 (2.0893) Prec@1 48.125 (46.423) Prec@5 78.750 (77.045) Epoch: [35][7170/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.1898 (2.0893) Prec@1 45.000 (46.422) Prec@5 76.250 (77.045) Epoch: [35][7180/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.0888 (2.0894) Prec@1 48.125 (46.419) Prec@5 75.625 (77.044) Epoch: [35][7190/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.3625 (2.0895) Prec@1 43.750 (46.420) Prec@5 73.125 (77.043) Epoch: [35][7200/11272] Time 0.860 (0.798) Data 0.006 (0.002) Loss 2.0447 (2.0894) Prec@1 46.250 (46.421) Prec@5 80.000 (77.044) Epoch: [35][7210/11272] Time 0.888 (0.798) Data 0.002 (0.002) Loss 1.8741 (2.0893) Prec@1 52.500 (46.423) Prec@5 80.625 (77.045) Epoch: [35][7220/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 2.0883 (2.0893) Prec@1 48.125 (46.423) Prec@5 78.125 (77.046) Epoch: [35][7230/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 2.2169 (2.0895) Prec@1 43.750 (46.419) Prec@5 72.500 (77.042) Epoch: [35][7240/11272] Time 0.823 (0.798) Data 0.001 (0.002) Loss 2.1240 (2.0895) Prec@1 45.625 (46.417) Prec@5 79.375 (77.043) Epoch: [35][7250/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.2751 (2.0897) Prec@1 40.000 (46.415) Prec@5 76.250 (77.042) Epoch: [35][7260/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.0984 (2.0897) Prec@1 45.000 (46.413) Prec@5 77.500 (77.041) Epoch: [35][7270/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.9113 (2.0897) Prec@1 48.750 (46.415) Prec@5 81.250 (77.042) Epoch: [35][7280/11272] Time 0.886 (0.798) Data 0.002 (0.002) Loss 2.1011 (2.0897) Prec@1 43.125 (46.415) Prec@5 78.125 (77.043) Epoch: [35][7290/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 2.4585 (2.0897) Prec@1 40.000 (46.416) Prec@5 68.125 (77.044) Epoch: [35][7300/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.2472 (2.0898) Prec@1 42.500 (46.416) Prec@5 75.625 (77.042) Epoch: [35][7310/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 2.0716 (2.0898) Prec@1 45.625 (46.417) Prec@5 75.000 (77.042) Epoch: [35][7320/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.4405 (2.0897) Prec@1 38.750 (46.417) Prec@5 68.750 (77.042) Epoch: [35][7330/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.1369 (2.0897) Prec@1 46.875 (46.418) Prec@5 70.625 (77.040) Epoch: [35][7340/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.8476 (2.0896) Prec@1 51.250 (46.421) Prec@5 83.750 (77.042) Epoch: [35][7350/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 2.0851 (2.0896) Prec@1 46.250 (46.422) Prec@5 78.750 (77.043) Epoch: [35][7360/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 1.9578 (2.0896) Prec@1 48.125 (46.420) Prec@5 81.250 (77.045) Epoch: [35][7370/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.1538 (2.0897) Prec@1 45.625 (46.419) Prec@5 75.625 (77.044) Epoch: [35][7380/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.7975 (2.0896) Prec@1 53.125 (46.420) Prec@5 82.500 (77.046) Epoch: [35][7390/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.0190 (2.0896) Prec@1 47.500 (46.420) Prec@5 81.875 (77.045) Epoch: [35][7400/11272] Time 0.870 (0.798) Data 0.001 (0.002) Loss 2.1197 (2.0896) Prec@1 46.250 (46.423) Prec@5 75.625 (77.044) Epoch: [35][7410/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.9419 (2.0896) Prec@1 50.000 (46.424) Prec@5 78.750 (77.044) Epoch: [35][7420/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.8062 (2.0896) Prec@1 53.750 (46.423) Prec@5 82.500 (77.044) Epoch: [35][7430/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0653 (2.0895) Prec@1 45.625 (46.425) Prec@5 80.000 (77.044) Epoch: [35][7440/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 1.8932 (2.0896) Prec@1 53.750 (46.427) Prec@5 80.000 (77.044) Epoch: [35][7450/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.1533 (2.0897) Prec@1 50.625 (46.427) Prec@5 75.000 (77.042) Epoch: [35][7460/11272] Time 0.869 (0.798) Data 0.001 (0.002) Loss 2.2096 (2.0897) Prec@1 45.000 (46.426) Prec@5 75.000 (77.040) Epoch: [35][7470/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.2772 (2.0898) Prec@1 45.625 (46.424) Prec@5 73.125 (77.040) Epoch: [35][7480/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.1759 (2.0898) Prec@1 46.250 (46.424) Prec@5 76.250 (77.039) Epoch: [35][7490/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 1.7546 (2.0899) Prec@1 56.250 (46.423) Prec@5 83.750 (77.038) Epoch: [35][7500/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 2.2978 (2.0899) Prec@1 39.375 (46.422) Prec@5 76.250 (77.038) Epoch: [35][7510/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 2.0545 (2.0900) Prec@1 45.625 (46.420) Prec@5 75.625 (77.035) Epoch: [35][7520/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 2.1008 (2.0900) Prec@1 42.500 (46.420) Prec@5 75.625 (77.034) Epoch: [35][7530/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 1.9916 (2.0900) Prec@1 50.625 (46.423) Prec@5 80.000 (77.035) Epoch: [35][7540/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.1396 (2.0900) Prec@1 49.375 (46.422) Prec@5 76.250 (77.036) Epoch: [35][7550/11272] Time 0.734 (0.798) Data 0.003 (0.002) Loss 2.1782 (2.0901) Prec@1 45.000 (46.421) Prec@5 76.250 (77.032) Epoch: [35][7560/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 2.0737 (2.0901) Prec@1 45.625 (46.420) Prec@5 80.000 (77.033) Epoch: [35][7570/11272] Time 0.861 (0.798) Data 0.001 (0.002) Loss 2.1578 (2.0902) Prec@1 50.000 (46.420) Prec@5 76.875 (77.032) Epoch: [35][7580/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 1.7926 (2.0902) Prec@1 57.500 (46.420) Prec@5 82.500 (77.031) Epoch: [35][7590/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 2.0003 (2.0903) Prec@1 44.375 (46.419) Prec@5 79.375 (77.031) Epoch: [35][7600/11272] Time 0.730 (0.798) Data 0.001 (0.002) Loss 1.9865 (2.0903) Prec@1 46.250 (46.419) Prec@5 78.125 (77.029) Epoch: [35][7610/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 2.0378 (2.0902) Prec@1 46.875 (46.421) Prec@5 76.875 (77.028) Epoch: [35][7620/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 1.8355 (2.0902) Prec@1 53.750 (46.425) Prec@5 81.250 (77.028) Epoch: [35][7630/11272] Time 0.724 (0.798) Data 0.001 (0.002) Loss 2.0019 (2.0901) Prec@1 51.250 (46.426) Prec@5 79.375 (77.029) Epoch: [35][7640/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.2342 (2.0902) Prec@1 41.250 (46.423) Prec@5 75.625 (77.028) Epoch: [35][7650/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0332 (2.0902) Prec@1 48.750 (46.423) Prec@5 78.750 (77.028) Epoch: [35][7660/11272] Time 0.834 (0.798) Data 0.002 (0.002) Loss 1.9137 (2.0902) Prec@1 50.625 (46.423) Prec@5 78.750 (77.028) Epoch: [35][7670/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.2822 (2.0902) Prec@1 44.375 (46.422) Prec@5 72.500 (77.027) Epoch: [35][7680/11272] Time 0.894 (0.798) Data 0.002 (0.002) Loss 2.1748 (2.0903) Prec@1 43.750 (46.421) Prec@5 73.125 (77.027) Epoch: [35][7690/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 2.1437 (2.0903) Prec@1 46.875 (46.421) Prec@5 76.875 (77.028) Epoch: [35][7700/11272] Time 0.789 (0.798) Data 0.001 (0.002) Loss 2.1127 (2.0903) Prec@1 48.750 (46.424) Prec@5 77.500 (77.027) Epoch: [35][7710/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 1.8100 (2.0903) Prec@1 51.250 (46.424) Prec@5 80.000 (77.027) Epoch: [35][7720/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 2.2869 (2.0903) Prec@1 36.250 (46.423) Prec@5 71.875 (77.028) Epoch: [35][7730/11272] Time 0.881 (0.798) Data 0.002 (0.002) Loss 2.0956 (2.0902) Prec@1 48.750 (46.425) Prec@5 73.125 (77.031) Epoch: [35][7740/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.1571 (2.0902) Prec@1 49.375 (46.425) Prec@5 76.875 (77.032) Epoch: [35][7750/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 2.1315 (2.0903) Prec@1 48.125 (46.423) Prec@5 74.375 (77.031) Epoch: [35][7760/11272] Time 0.851 (0.798) Data 0.001 (0.002) Loss 2.3243 (2.0903) Prec@1 43.750 (46.424) Prec@5 70.625 (77.027) Epoch: [35][7770/11272] Time 0.815 (0.798) Data 0.001 (0.002) Loss 2.4324 (2.0903) Prec@1 43.125 (46.425) Prec@5 71.250 (77.028) Epoch: [35][7780/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.3964 (2.0903) Prec@1 38.750 (46.424) Prec@5 71.875 (77.029) Epoch: [35][7790/11272] Time 0.769 (0.798) Data 0.002 (0.002) Loss 2.2232 (2.0902) Prec@1 41.875 (46.425) Prec@5 75.625 (77.031) Epoch: [35][7800/11272] Time 0.924 (0.798) Data 0.001 (0.002) Loss 2.0513 (2.0903) Prec@1 49.375 (46.425) Prec@5 76.875 (77.030) Epoch: [35][7810/11272] Time 0.735 (0.798) Data 0.003 (0.002) Loss 2.0349 (2.0903) Prec@1 45.000 (46.424) Prec@5 76.875 (77.030) Epoch: [35][7820/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.9827 (2.0903) Prec@1 51.250 (46.425) Prec@5 78.125 (77.030) Epoch: [35][7830/11272] Time 0.836 (0.798) Data 0.001 (0.002) Loss 1.9636 (2.0904) Prec@1 48.750 (46.422) Prec@5 79.375 (77.027) Epoch: [35][7840/11272] Time 0.831 (0.798) Data 0.002 (0.002) Loss 1.9652 (2.0904) Prec@1 48.750 (46.425) Prec@5 80.000 (77.028) Epoch: [35][7850/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 2.0245 (2.0905) Prec@1 43.750 (46.423) Prec@5 78.750 (77.026) Epoch: [35][7860/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.1110 (2.0906) Prec@1 43.750 (46.422) Prec@5 75.000 (77.024) Epoch: [35][7870/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0489 (2.0906) Prec@1 46.250 (46.421) Prec@5 78.750 (77.024) Epoch: [35][7880/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 2.4028 (2.0906) Prec@1 41.250 (46.423) Prec@5 70.625 (77.023) Epoch: [35][7890/11272] Time 0.758 (0.798) Data 0.001 (0.002) Loss 2.1295 (2.0906) Prec@1 37.500 (46.421) Prec@5 78.125 (77.024) Epoch: [35][7900/11272] Time 0.710 (0.798) Data 0.002 (0.002) Loss 1.9658 (2.0906) Prec@1 52.500 (46.419) Prec@5 77.500 (77.023) Epoch: [35][7910/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.1184 (2.0906) Prec@1 53.750 (46.423) Prec@5 75.000 (77.024) Epoch: [35][7920/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 1.7952 (2.0906) Prec@1 53.750 (46.423) Prec@5 80.625 (77.024) Epoch: [35][7930/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1170 (2.0905) Prec@1 42.500 (46.424) Prec@5 76.875 (77.024) Epoch: [35][7940/11272] Time 0.884 (0.798) Data 0.003 (0.002) Loss 1.8810 (2.0906) Prec@1 49.375 (46.423) Prec@5 81.250 (77.023) Epoch: [35][7950/11272] Time 0.842 (0.798) Data 0.001 (0.002) Loss 2.0220 (2.0906) Prec@1 46.875 (46.423) Prec@5 78.125 (77.023) Epoch: [35][7960/11272] Time 0.796 (0.798) Data 0.002 (0.002) Loss 2.0058 (2.0905) Prec@1 49.375 (46.422) Prec@5 75.000 (77.022) Epoch: [35][7970/11272] Time 0.753 (0.798) Data 0.001 (0.002) Loss 2.1761 (2.0906) Prec@1 48.750 (46.421) Prec@5 77.500 (77.020) Epoch: [35][7980/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.3410 (2.0907) Prec@1 45.000 (46.420) Prec@5 70.000 (77.017) Epoch: [35][7990/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 2.1599 (2.0908) Prec@1 43.750 (46.419) Prec@5 74.375 (77.015) Epoch: [35][8000/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.2403 (2.0909) Prec@1 40.000 (46.417) Prec@5 71.250 (77.012) Epoch: [35][8010/11272] Time 0.766 (0.798) Data 0.002 (0.002) Loss 2.2335 (2.0910) Prec@1 46.250 (46.416) Prec@5 73.750 (77.012) Epoch: [35][8020/11272] Time 0.922 (0.798) Data 0.002 (0.002) Loss 2.2478 (2.0910) Prec@1 45.000 (46.414) Prec@5 76.875 (77.013) Epoch: [35][8030/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 1.9134 (2.0909) Prec@1 48.125 (46.414) Prec@5 78.750 (77.014) Epoch: [35][8040/11272] Time 0.764 (0.798) Data 0.002 (0.002) Loss 2.0580 (2.0910) Prec@1 42.500 (46.412) Prec@5 77.500 (77.014) Epoch: [35][8050/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.2327 (2.0909) Prec@1 43.750 (46.415) Prec@5 73.750 (77.016) Epoch: [35][8060/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 1.9566 (2.0909) Prec@1 50.625 (46.414) Prec@5 80.000 (77.015) Epoch: [35][8070/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 1.9638 (2.0909) Prec@1 51.250 (46.412) Prec@5 80.625 (77.015) Epoch: [35][8080/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.1729 (2.0910) Prec@1 40.000 (46.411) Prec@5 77.500 (77.013) Epoch: [35][8090/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.2890 (2.0911) Prec@1 40.000 (46.410) Prec@5 70.625 (77.013) Epoch: [35][8100/11272] Time 0.822 (0.798) Data 0.001 (0.002) Loss 2.1729 (2.0911) Prec@1 41.875 (46.409) Prec@5 73.750 (77.012) Epoch: [35][8110/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.2341 (2.0911) Prec@1 46.875 (46.410) Prec@5 75.000 (77.013) Epoch: [35][8120/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 1.8775 (2.0910) Prec@1 47.500 (46.411) Prec@5 81.250 (77.014) Epoch: [35][8130/11272] Time 0.874 (0.798) Data 0.002 (0.002) Loss 1.9764 (2.0910) Prec@1 52.500 (46.410) Prec@5 78.750 (77.013) Epoch: [35][8140/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 1.9524 (2.0911) Prec@1 49.375 (46.409) Prec@5 82.500 (77.012) Epoch: [35][8150/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.1880 (2.0909) Prec@1 47.500 (46.411) Prec@5 73.125 (77.015) Epoch: [35][8160/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.0603 (2.0910) Prec@1 45.000 (46.410) Prec@5 82.500 (77.013) Epoch: [35][8170/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 1.9612 (2.0910) Prec@1 50.000 (46.411) Prec@5 78.750 (77.014) Epoch: [35][8180/11272] Time 0.818 (0.798) Data 0.002 (0.002) Loss 1.9326 (2.0909) Prec@1 50.000 (46.411) Prec@5 77.500 (77.015) Epoch: [35][8190/11272] Time 0.751 (0.798) Data 0.001 (0.002) Loss 2.1701 (2.0910) Prec@1 45.625 (46.412) Prec@5 73.750 (77.014) Epoch: [35][8200/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 1.8829 (2.0910) Prec@1 50.000 (46.414) Prec@5 81.875 (77.014) Epoch: [35][8210/11272] Time 0.930 (0.798) Data 0.002 (0.002) Loss 2.0216 (2.0910) Prec@1 46.250 (46.414) Prec@5 76.250 (77.014) Epoch: [35][8220/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.9318 (2.0909) Prec@1 55.000 (46.417) Prec@5 76.875 (77.014) Epoch: [35][8230/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.1542 (2.0910) Prec@1 45.625 (46.417) Prec@5 70.625 (77.013) Epoch: [35][8240/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 2.0187 (2.0910) Prec@1 46.250 (46.419) Prec@5 76.875 (77.013) Epoch: [35][8250/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 1.8725 (2.0909) Prec@1 53.125 (46.419) Prec@5 83.750 (77.014) Epoch: [35][8260/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 2.0898 (2.0909) Prec@1 45.625 (46.421) Prec@5 78.125 (77.015) Epoch: [35][8270/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1836 (2.0910) Prec@1 48.750 (46.420) Prec@5 73.125 (77.012) Epoch: [35][8280/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.9527 (2.0911) Prec@1 47.500 (46.416) Prec@5 77.500 (77.011) Epoch: [35][8290/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 2.0294 (2.0911) Prec@1 50.000 (46.418) Prec@5 78.125 (77.011) Epoch: [35][8300/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.0219 (2.0911) Prec@1 53.750 (46.420) Prec@5 80.625 (77.012) Epoch: [35][8310/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.9883 (2.0912) Prec@1 45.625 (46.419) Prec@5 77.500 (77.012) Epoch: [35][8320/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.9858 (2.0912) Prec@1 47.500 (46.418) Prec@5 80.000 (77.010) Epoch: [35][8330/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.1042 (2.0912) Prec@1 48.125 (46.418) Prec@5 78.125 (77.010) Epoch: [35][8340/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 1.9106 (2.0912) Prec@1 50.000 (46.418) Prec@5 78.750 (77.011) Epoch: [35][8350/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.1319 (2.0913) Prec@1 50.000 (46.415) Prec@5 75.000 (77.008) Epoch: [35][8360/11272] Time 0.831 (0.798) Data 0.002 (0.002) Loss 1.9348 (2.0914) Prec@1 53.125 (46.416) Prec@5 81.250 (77.008) Epoch: [35][8370/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 2.0713 (2.0914) Prec@1 53.125 (46.417) Prec@5 79.375 (77.008) Epoch: [35][8380/11272] Time 0.773 (0.798) Data 0.002 (0.002) Loss 1.7629 (2.0914) Prec@1 54.375 (46.417) Prec@5 81.875 (77.006) Epoch: [35][8390/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 2.2596 (2.0915) Prec@1 43.750 (46.417) Prec@5 76.875 (77.006) Epoch: [35][8400/11272] Time 0.883 (0.798) Data 0.002 (0.002) Loss 2.0652 (2.0915) Prec@1 47.500 (46.417) Prec@5 74.375 (77.005) Epoch: [35][8410/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.9808 (2.0914) Prec@1 48.125 (46.418) Prec@5 80.000 (77.005) Epoch: [35][8420/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.1681 (2.0914) Prec@1 42.500 (46.418) Prec@5 73.750 (77.006) Epoch: [35][8430/11272] Time 0.836 (0.798) Data 0.001 (0.002) Loss 1.9020 (2.0914) Prec@1 50.000 (46.416) Prec@5 83.125 (77.006) Epoch: [35][8440/11272] Time 0.896 (0.798) Data 0.002 (0.002) Loss 2.0325 (2.0913) Prec@1 55.000 (46.418) Prec@5 77.500 (77.007) Epoch: [35][8450/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.2276 (2.0913) Prec@1 43.750 (46.417) Prec@5 77.500 (77.008) Epoch: [35][8460/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.8471 (2.0914) Prec@1 55.000 (46.416) Prec@5 81.875 (77.007) Epoch: [35][8470/11272] Time 0.855 (0.798) Data 0.001 (0.002) Loss 1.9199 (2.0914) Prec@1 45.000 (46.416) Prec@5 83.125 (77.008) Epoch: [35][8480/11272] Time 0.738 (0.798) Data 0.003 (0.002) Loss 2.2947 (2.0914) Prec@1 40.625 (46.416) Prec@5 78.750 (77.008) Epoch: [35][8490/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 2.1156 (2.0914) Prec@1 49.375 (46.416) Prec@5 75.625 (77.009) Epoch: [35][8500/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.0453 (2.0914) Prec@1 51.875 (46.415) Prec@5 81.250 (77.009) Epoch: [35][8510/11272] Time 0.911 (0.798) Data 0.002 (0.002) Loss 2.3742 (2.0915) Prec@1 36.250 (46.413) Prec@5 70.625 (77.007) Epoch: [35][8520/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.0687 (2.0915) Prec@1 43.750 (46.414) Prec@5 76.875 (77.007) Epoch: [35][8530/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.0796 (2.0915) Prec@1 50.625 (46.414) Prec@5 73.750 (77.006) Epoch: [35][8540/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.1345 (2.0917) Prec@1 48.125 (46.413) Prec@5 71.250 (77.004) Epoch: [35][8550/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.3075 (2.0918) Prec@1 40.000 (46.411) Prec@5 75.000 (77.001) Epoch: [35][8560/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.2726 (2.0918) Prec@1 43.125 (46.411) Prec@5 73.125 (77.001) Epoch: [35][8570/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.9982 (2.0919) Prec@1 45.625 (46.411) Prec@5 75.625 (77.001) Epoch: [35][8580/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 2.1973 (2.0919) Prec@1 45.625 (46.411) Prec@5 73.750 (77.000) Epoch: [35][8590/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 2.2505 (2.0919) Prec@1 51.250 (46.411) Prec@5 74.375 (77.000) Epoch: [35][8600/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.0007 (2.0919) Prec@1 45.625 (46.411) Prec@5 78.125 (77.000) Epoch: [35][8610/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 1.9471 (2.0919) Prec@1 46.250 (46.410) Prec@5 77.500 (77.001) Epoch: [35][8620/11272] Time 0.881 (0.798) Data 0.002 (0.002) Loss 2.5878 (2.0920) Prec@1 38.125 (46.411) Prec@5 70.625 (77.001) Epoch: [35][8630/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.1254 (2.0920) Prec@1 53.125 (46.412) Prec@5 75.625 (77.002) Epoch: [35][8640/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.0961 (2.0919) Prec@1 51.875 (46.413) Prec@5 78.125 (77.002) Epoch: [35][8650/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.1722 (2.0919) Prec@1 38.125 (46.411) Prec@5 76.875 (77.001) Epoch: [35][8660/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 2.1953 (2.0919) Prec@1 43.125 (46.410) Prec@5 76.250 (77.002) Epoch: [35][8670/11272] Time 0.762 (0.798) Data 0.002 (0.002) Loss 2.2054 (2.0919) Prec@1 46.250 (46.412) Prec@5 71.250 (77.002) Epoch: [35][8680/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 2.1316 (2.0919) Prec@1 46.875 (46.411) Prec@5 73.125 (77.000) Epoch: [35][8690/11272] Time 0.919 (0.798) Data 0.002 (0.002) Loss 1.9809 (2.0919) Prec@1 51.250 (46.412) Prec@5 81.250 (77.003) Epoch: [35][8700/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 2.1348 (2.0919) Prec@1 45.625 (46.412) Prec@5 76.250 (77.002) Epoch: [35][8710/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.2728 (2.0920) Prec@1 44.375 (46.411) Prec@5 73.125 (77.000) Epoch: [35][8720/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.1116 (2.0919) Prec@1 48.125 (46.412) Prec@5 79.375 (77.003) Epoch: [35][8730/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.1700 (2.0919) Prec@1 47.500 (46.413) Prec@5 74.375 (77.002) Epoch: [35][8740/11272] Time 0.751 (0.798) Data 0.003 (0.002) Loss 1.9702 (2.0919) Prec@1 48.125 (46.415) Prec@5 76.875 (77.003) Epoch: [35][8750/11272] Time 0.713 (0.798) Data 0.001 (0.002) Loss 2.1467 (2.0919) Prec@1 48.750 (46.415) Prec@5 75.000 (77.003) Epoch: [35][8760/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 2.0550 (2.0919) Prec@1 46.250 (46.416) Prec@5 80.625 (77.004) Epoch: [35][8770/11272] Time 0.871 (0.798) Data 0.002 (0.002) Loss 1.9708 (2.0919) Prec@1 47.500 (46.416) Prec@5 80.000 (77.004) Epoch: [35][8780/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.1677 (2.0919) Prec@1 45.000 (46.415) Prec@5 73.750 (77.003) Epoch: [35][8790/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 2.2932 (2.0919) Prec@1 47.500 (46.418) Prec@5 73.125 (77.003) Epoch: [35][8800/11272] Time 0.873 (0.798) Data 0.002 (0.002) Loss 2.0254 (2.0919) Prec@1 48.750 (46.418) Prec@5 81.250 (77.004) Epoch: [35][8810/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.0491 (2.0918) Prec@1 48.750 (46.420) Prec@5 75.625 (77.005) Epoch: [35][8820/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.9482 (2.0917) Prec@1 50.000 (46.420) Prec@5 79.375 (77.006) Epoch: [35][8830/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 2.0124 (2.0916) Prec@1 50.625 (46.424) Prec@5 81.875 (77.011) Epoch: [35][8840/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.1757 (2.0916) Prec@1 46.875 (46.425) Prec@5 72.500 (77.012) Epoch: [35][8850/11272] Time 0.898 (0.798) Data 0.002 (0.002) Loss 2.2641 (2.0916) Prec@1 42.500 (46.425) Prec@5 71.250 (77.011) Epoch: [35][8860/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.9727 (2.0916) Prec@1 50.000 (46.425) Prec@5 76.875 (77.010) Epoch: [35][8870/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 2.3258 (2.0916) Prec@1 38.750 (46.424) Prec@5 73.125 (77.010) Epoch: [35][8880/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.1697 (2.0916) Prec@1 42.500 (46.423) Prec@5 78.125 (77.010) Epoch: [35][8890/11272] Time 0.775 (0.798) Data 0.002 (0.002) Loss 2.0675 (2.0916) Prec@1 48.125 (46.423) Prec@5 76.875 (77.009) Epoch: [35][8900/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.0885 (2.0916) Prec@1 42.500 (46.423) Prec@5 78.125 (77.008) Epoch: [35][8910/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.7859 (2.0916) Prec@1 54.375 (46.423) Prec@5 81.250 (77.009) Epoch: [35][8920/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.3295 (2.0915) Prec@1 40.000 (46.425) Prec@5 73.125 (77.009) Epoch: [35][8930/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.1907 (2.0915) Prec@1 47.500 (46.425) Prec@5 75.625 (77.010) Epoch: [35][8940/11272] Time 0.714 (0.798) Data 0.002 (0.002) Loss 2.1006 (2.0916) Prec@1 50.000 (46.425) Prec@5 75.000 (77.009) Epoch: [35][8950/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.2995 (2.0917) Prec@1 46.250 (46.422) Prec@5 73.750 (77.009) Epoch: [35][8960/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 1.9141 (2.0916) Prec@1 49.375 (46.426) Prec@5 81.875 (77.010) Epoch: [35][8970/11272] Time 0.755 (0.798) Data 0.001 (0.002) Loss 2.4508 (2.0917) Prec@1 38.750 (46.424) Prec@5 71.875 (77.008) Epoch: [35][8980/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.0276 (2.0917) Prec@1 46.875 (46.423) Prec@5 78.750 (77.007) Epoch: [35][8990/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 2.0336 (2.0917) Prec@1 41.875 (46.423) Prec@5 81.250 (77.007) Epoch: [35][9000/11272] Time 0.896 (0.798) Data 0.002 (0.002) Loss 2.3375 (2.0917) Prec@1 41.250 (46.422) Prec@5 68.750 (77.007) Epoch: [35][9010/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.0318 (2.0916) Prec@1 45.000 (46.421) Prec@5 76.875 (77.008) Epoch: [35][9020/11272] Time 0.881 (0.798) Data 0.001 (0.002) Loss 2.1388 (2.0916) Prec@1 45.000 (46.422) Prec@5 75.625 (77.009) Epoch: [35][9030/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 2.0862 (2.0916) Prec@1 47.500 (46.420) Prec@5 75.000 (77.008) Epoch: [35][9040/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.0280 (2.0916) Prec@1 47.500 (46.419) Prec@5 83.125 (77.007) Epoch: [35][9050/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 1.8731 (2.0917) Prec@1 56.875 (46.418) Prec@5 80.000 (77.007) Epoch: [35][9060/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 2.4175 (2.0917) Prec@1 43.125 (46.418) Prec@5 70.000 (77.006) Epoch: [35][9070/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.8045 (2.0917) Prec@1 55.000 (46.417) Prec@5 80.625 (77.005) Epoch: [35][9080/11272] Time 0.724 (0.798) Data 0.001 (0.002) Loss 2.3379 (2.0918) Prec@1 38.125 (46.417) Prec@5 74.375 (77.005) Epoch: [35][9090/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 2.0002 (2.0917) Prec@1 48.125 (46.418) Prec@5 75.625 (77.005) Epoch: [35][9100/11272] Time 0.826 (0.798) Data 0.001 (0.002) Loss 2.0790 (2.0918) Prec@1 45.000 (46.416) Prec@5 76.250 (77.004) Epoch: [35][9110/11272] Time 0.834 (0.798) Data 0.001 (0.002) Loss 2.2922 (2.0918) Prec@1 45.000 (46.414) Prec@5 73.750 (77.002) Epoch: [35][9120/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 1.9435 (2.0918) Prec@1 46.250 (46.414) Prec@5 85.000 (77.004) Epoch: [35][9130/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 2.2143 (2.0918) Prec@1 48.750 (46.415) Prec@5 70.000 (77.003) Epoch: [35][9140/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 2.1018 (2.0919) Prec@1 43.125 (46.415) Prec@5 78.125 (77.001) Epoch: [35][9150/11272] Time 0.754 (0.798) Data 0.001 (0.002) Loss 2.0237 (2.0919) Prec@1 48.125 (46.414) Prec@5 74.375 (77.002) Epoch: [35][9160/11272] Time 0.755 (0.798) Data 0.001 (0.002) Loss 2.2963 (2.0918) Prec@1 42.500 (46.415) Prec@5 73.750 (77.003) Epoch: [35][9170/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.1306 (2.0919) Prec@1 48.125 (46.415) Prec@5 77.500 (77.004) Epoch: [35][9180/11272] Time 0.910 (0.798) Data 0.002 (0.002) Loss 2.1773 (2.0919) Prec@1 40.625 (46.413) Prec@5 75.000 (77.003) Epoch: [35][9190/11272] Time 0.765 (0.798) Data 0.001 (0.002) Loss 1.9661 (2.0919) Prec@1 46.875 (46.412) Prec@5 80.625 (77.003) Epoch: [35][9200/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.0059 (2.0918) Prec@1 50.000 (46.413) Prec@5 78.125 (77.004) Epoch: [35][9210/11272] Time 0.830 (0.798) Data 0.001 (0.002) Loss 2.0619 (2.0918) Prec@1 45.000 (46.411) Prec@5 79.375 (77.004) Epoch: [35][9220/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.8548 (2.0918) Prec@1 50.625 (46.412) Prec@5 78.750 (77.005) Epoch: [35][9230/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.1223 (2.0919) Prec@1 48.125 (46.411) Prec@5 75.000 (77.003) Epoch: [35][9240/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.9684 (2.0919) Prec@1 52.500 (46.411) Prec@5 79.375 (77.001) Epoch: [35][9250/11272] Time 0.807 (0.798) Data 0.002 (0.002) Loss 2.0930 (2.0920) Prec@1 52.500 (46.412) Prec@5 77.500 (77.000) Epoch: [35][9260/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.0556 (2.0920) Prec@1 45.625 (46.411) Prec@5 76.875 (76.999) Epoch: [35][9270/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 1.9067 (2.0919) Prec@1 55.000 (46.412) Prec@5 80.000 (77.000) Epoch: [35][9280/11272] Time 0.880 (0.798) Data 0.002 (0.002) Loss 1.9962 (2.0920) Prec@1 49.375 (46.409) Prec@5 76.250 (77.000) Epoch: [35][9290/11272] Time 0.890 (0.798) Data 0.002 (0.002) Loss 2.2840 (2.0920) Prec@1 40.000 (46.408) Prec@5 73.125 (76.998) Epoch: [35][9300/11272] Time 0.748 (0.798) Data 0.001 (0.002) Loss 2.1678 (2.0920) Prec@1 45.625 (46.409) Prec@5 76.875 (76.999) Epoch: [35][9310/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.0966 (2.0919) Prec@1 45.625 (46.411) Prec@5 80.625 (77.000) Epoch: [35][9320/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.8146 (2.0918) Prec@1 51.250 (46.412) Prec@5 81.250 (77.001) Epoch: [35][9330/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 2.2541 (2.0919) Prec@1 43.750 (46.412) Prec@5 71.250 (76.998) Epoch: [35][9340/11272] Time 0.738 (0.798) Data 0.001 (0.002) Loss 1.9677 (2.0919) Prec@1 48.125 (46.410) Prec@5 75.000 (76.997) Epoch: [35][9350/11272] Time 0.748 (0.798) Data 0.001 (0.002) Loss 2.1974 (2.0919) Prec@1 43.750 (46.410) Prec@5 72.500 (76.997) Epoch: [35][9360/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 2.1297 (2.0920) Prec@1 45.625 (46.410) Prec@5 75.000 (76.995) Epoch: [35][9370/11272] Time 0.882 (0.798) Data 0.002 (0.002) Loss 1.9016 (2.0920) Prec@1 53.750 (46.409) Prec@5 78.750 (76.995) Epoch: [35][9380/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.9299 (2.0920) Prec@1 48.750 (46.409) Prec@5 81.250 (76.995) Epoch: [35][9390/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.1132 (2.0919) Prec@1 45.000 (46.409) Prec@5 76.875 (76.996) Epoch: [35][9400/11272] Time 0.827 (0.798) Data 0.002 (0.002) Loss 2.1801 (2.0919) Prec@1 50.000 (46.411) Prec@5 73.750 (76.995) Epoch: [35][9410/11272] Time 0.729 (0.798) Data 0.003 (0.002) Loss 2.1213 (2.0919) Prec@1 43.750 (46.413) Prec@5 76.875 (76.997) Epoch: [35][9420/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.0419 (2.0918) Prec@1 50.000 (46.414) Prec@5 78.750 (76.997) Epoch: [35][9430/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 2.1383 (2.0918) Prec@1 40.625 (46.415) Prec@5 76.875 (76.997) Epoch: [35][9440/11272] Time 0.818 (0.798) Data 0.002 (0.002) Loss 2.1865 (2.0918) Prec@1 47.500 (46.418) Prec@5 72.500 (76.996) Epoch: [35][9450/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.2983 (2.0918) Prec@1 44.375 (46.417) Prec@5 71.250 (76.994) Epoch: [35][9460/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.0967 (2.0919) Prec@1 47.500 (46.418) Prec@5 75.625 (76.994) Epoch: [35][9470/11272] Time 0.834 (0.798) Data 0.001 (0.002) Loss 2.0321 (2.0919) Prec@1 45.000 (46.417) Prec@5 77.500 (76.994) Epoch: [35][9480/11272] Time 0.903 (0.798) Data 0.003 (0.002) Loss 2.0153 (2.0920) Prec@1 53.750 (46.416) Prec@5 78.750 (76.992) Epoch: [35][9490/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.0884 (2.0919) Prec@1 45.625 (46.415) Prec@5 76.875 (76.992) Epoch: [35][9500/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 1.5943 (2.0920) Prec@1 60.625 (46.416) Prec@5 87.500 (76.991) Epoch: [35][9510/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 1.9317 (2.0920) Prec@1 50.625 (46.416) Prec@5 78.750 (76.992) Epoch: [35][9520/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 2.0441 (2.0919) Prec@1 48.125 (46.417) Prec@5 81.250 (76.993) Epoch: [35][9530/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.9489 (2.0919) Prec@1 45.000 (46.417) Prec@5 82.500 (76.993) Epoch: [35][9540/11272] Time 0.913 (0.798) Data 0.002 (0.002) Loss 2.1480 (2.0919) Prec@1 39.375 (46.417) Prec@5 75.625 (76.993) Epoch: [35][9550/11272] Time 0.915 (0.798) Data 0.002 (0.002) Loss 2.0026 (2.0919) Prec@1 48.750 (46.417) Prec@5 79.375 (76.993) Epoch: [35][9560/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 1.9593 (2.0919) Prec@1 43.125 (46.415) Prec@5 80.000 (76.994) Epoch: [35][9570/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.2833 (2.0920) Prec@1 43.125 (46.414) Prec@5 73.750 (76.992) Epoch: [35][9580/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 2.0404 (2.0920) Prec@1 46.875 (46.413) Prec@5 76.250 (76.989) Epoch: [35][9590/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.1623 (2.0921) Prec@1 45.000 (46.412) Prec@5 73.125 (76.988) Epoch: [35][9600/11272] Time 0.780 (0.798) Data 0.002 (0.002) Loss 2.4741 (2.0921) Prec@1 37.500 (46.412) Prec@5 73.125 (76.988) Epoch: [35][9610/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.0520 (2.0921) Prec@1 48.125 (46.413) Prec@5 75.000 (76.987) Epoch: [35][9620/11272] Time 0.897 (0.798) Data 0.002 (0.002) Loss 2.0376 (2.0921) Prec@1 48.125 (46.413) Prec@5 78.750 (76.989) Epoch: [35][9630/11272] Time 0.810 (0.798) Data 0.002 (0.002) Loss 1.9746 (2.0921) Prec@1 48.125 (46.411) Prec@5 77.500 (76.988) Epoch: [35][9640/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.9574 (2.0921) Prec@1 46.875 (46.411) Prec@5 81.875 (76.988) Epoch: [35][9650/11272] Time 0.749 (0.798) Data 0.001 (0.002) Loss 1.9214 (2.0920) Prec@1 53.125 (46.412) Prec@5 76.250 (76.989) Epoch: [35][9660/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.1530 (2.0921) Prec@1 45.000 (46.412) Prec@5 76.875 (76.989) Epoch: [35][9670/11272] Time 0.780 (0.798) Data 0.003 (0.002) Loss 2.1017 (2.0921) Prec@1 45.625 (46.411) Prec@5 75.625 (76.987) Epoch: [35][9680/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.0397 (2.0921) Prec@1 49.375 (46.410) Prec@5 78.125 (76.989) Epoch: [35][9690/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 2.1337 (2.0921) Prec@1 45.000 (46.411) Prec@5 79.375 (76.989) Epoch: [35][9700/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 2.0956 (2.0921) Prec@1 46.875 (46.410) Prec@5 79.375 (76.989) Epoch: [35][9710/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 2.0441 (2.0921) Prec@1 45.625 (46.411) Prec@5 80.000 (76.988) Epoch: [35][9720/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 2.2188 (2.0921) Prec@1 48.750 (46.412) Prec@5 78.125 (76.989) Epoch: [35][9730/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 2.0258 (2.0921) Prec@1 44.375 (46.413) Prec@5 75.625 (76.989) Epoch: [35][9740/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 2.2094 (2.0921) Prec@1 45.625 (46.412) Prec@5 72.500 (76.989) Epoch: [35][9750/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 1.9647 (2.0921) Prec@1 48.750 (46.410) Prec@5 80.000 (76.989) Epoch: [35][9760/11272] Time 0.770 (0.798) Data 0.002 (0.002) Loss 2.0663 (2.0921) Prec@1 45.000 (46.410) Prec@5 78.125 (76.988) Epoch: [35][9770/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 2.2956 (2.0921) Prec@1 43.750 (46.409) Prec@5 73.125 (76.987) Epoch: [35][9780/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 2.1616 (2.0922) Prec@1 45.000 (46.410) Prec@5 75.625 (76.985) Epoch: [35][9790/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 1.9356 (2.0921) Prec@1 50.000 (46.411) Prec@5 78.750 (76.986) Epoch: [35][9800/11272] Time 0.873 (0.798) Data 0.002 (0.002) Loss 2.3031 (2.0922) Prec@1 47.500 (46.412) Prec@5 73.750 (76.985) Epoch: [35][9810/11272] Time 0.834 (0.798) Data 0.002 (0.002) Loss 2.1263 (2.0922) Prec@1 46.875 (46.413) Prec@5 72.500 (76.985) Epoch: [35][9820/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 2.2536 (2.0922) Prec@1 47.500 (46.412) Prec@5 72.500 (76.983) Epoch: [35][9830/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.0504 (2.0923) Prec@1 49.375 (46.410) Prec@5 80.000 (76.983) Epoch: [35][9840/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 2.1814 (2.0923) Prec@1 48.125 (46.409) Prec@5 76.875 (76.982) Epoch: [35][9850/11272] Time 0.876 (0.798) Data 0.001 (0.002) Loss 2.0786 (2.0924) Prec@1 48.125 (46.410) Prec@5 80.000 (76.982) Epoch: [35][9860/11272] Time 0.739 (0.798) Data 0.001 (0.002) Loss 1.6935 (2.0923) Prec@1 53.750 (46.412) Prec@5 81.875 (76.983) Epoch: [35][9870/11272] Time 0.775 (0.798) Data 0.002 (0.002) Loss 2.0991 (2.0923) Prec@1 40.000 (46.412) Prec@5 76.250 (76.983) Epoch: [35][9880/11272] Time 0.878 (0.798) Data 0.002 (0.002) Loss 2.0398 (2.0923) Prec@1 41.875 (46.411) Prec@5 77.500 (76.982) Epoch: [35][9890/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 1.9770 (2.0923) Prec@1 46.250 (46.409) Prec@5 76.875 (76.982) Epoch: [35][9900/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 2.0727 (2.0922) Prec@1 49.375 (46.410) Prec@5 78.750 (76.984) Epoch: [35][9910/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 2.2309 (2.0924) Prec@1 47.500 (46.409) Prec@5 77.500 (76.983) Epoch: [35][9920/11272] Time 0.882 (0.798) Data 0.002 (0.002) Loss 2.1957 (2.0924) Prec@1 46.250 (46.408) Prec@5 76.875 (76.982) Epoch: [35][9930/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 2.0295 (2.0924) Prec@1 45.000 (46.406) Prec@5 82.500 (76.981) Epoch: [35][9940/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 2.3225 (2.0924) Prec@1 45.000 (46.407) Prec@5 73.125 (76.982) Epoch: [35][9950/11272] Time 0.887 (0.798) Data 0.001 (0.002) Loss 2.0598 (2.0924) Prec@1 45.625 (46.408) Prec@5 80.625 (76.983) Epoch: [35][9960/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 2.4084 (2.0924) Prec@1 41.875 (46.408) Prec@5 73.125 (76.981) Epoch: [35][9970/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.0012 (2.0925) Prec@1 43.750 (46.406) Prec@5 80.000 (76.979) Epoch: [35][9980/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 2.1773 (2.0926) Prec@1 42.500 (46.405) Prec@5 75.000 (76.977) Epoch: [35][9990/11272] Time 0.874 (0.798) Data 0.002 (0.002) Loss 2.3467 (2.0927) Prec@1 39.375 (46.402) Prec@5 74.375 (76.975) Epoch: [35][10000/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 2.1089 (2.0927) Prec@1 47.500 (46.402) Prec@5 76.250 (76.974) Epoch: [35][10010/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.3478 (2.0927) Prec@1 44.375 (46.405) Prec@5 73.125 (76.975) Epoch: [35][10020/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 2.0023 (2.0927) Prec@1 48.125 (46.406) Prec@5 80.000 (76.974) Epoch: [35][10030/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.1994 (2.0927) Prec@1 42.500 (46.404) Prec@5 78.125 (76.975) Epoch: [35][10040/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.0023 (2.0927) Prec@1 52.500 (46.404) Prec@5 78.750 (76.974) Epoch: [35][10050/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 2.3466 (2.0927) Prec@1 37.500 (46.406) Prec@5 73.750 (76.975) Epoch: [35][10060/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.2169 (2.0927) Prec@1 40.625 (46.406) Prec@5 73.750 (76.976) Epoch: [35][10070/11272] Time 0.870 (0.798) Data 0.002 (0.002) Loss 1.8104 (2.0927) Prec@1 52.500 (46.406) Prec@5 80.625 (76.977) Epoch: [35][10080/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.1308 (2.0928) Prec@1 46.250 (46.405) Prec@5 75.000 (76.974) Epoch: [35][10090/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.2306 (2.0928) Prec@1 47.500 (46.405) Prec@5 73.750 (76.974) Epoch: [35][10100/11272] Time 0.878 (0.798) Data 0.001 (0.002) Loss 1.9327 (2.0928) Prec@1 48.750 (46.403) Prec@5 80.000 (76.973) Epoch: [35][10110/11272] Time 0.869 (0.798) Data 0.002 (0.002) Loss 2.1689 (2.0928) Prec@1 41.875 (46.402) Prec@5 75.625 (76.974) Epoch: [35][10120/11272] Time 0.787 (0.798) Data 0.006 (0.002) Loss 1.8583 (2.0929) Prec@1 48.125 (46.401) Prec@5 80.000 (76.974) Epoch: [35][10130/11272] Time 0.701 (0.798) Data 0.001 (0.002) Loss 2.2039 (2.0929) Prec@1 39.375 (46.400) Prec@5 73.750 (76.974) Epoch: [35][10140/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 2.4128 (2.0929) Prec@1 39.375 (46.399) Prec@5 68.125 (76.973) Epoch: [35][10150/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 2.2574 (2.0929) Prec@1 42.500 (46.400) Prec@5 71.875 (76.973) Epoch: [35][10160/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.1360 (2.0929) Prec@1 48.750 (46.401) Prec@5 77.500 (76.974) Epoch: [35][10170/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.2795 (2.0929) Prec@1 39.375 (46.401) Prec@5 71.875 (76.974) Epoch: [35][10180/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 2.0931 (2.0928) Prec@1 45.625 (46.401) Prec@5 76.875 (76.976) Epoch: [35][10190/11272] Time 0.893 (0.798) Data 0.001 (0.002) Loss 2.0263 (2.0928) Prec@1 50.625 (46.402) Prec@5 80.625 (76.977) Epoch: [35][10200/11272] Time 0.713 (0.798) Data 0.002 (0.002) Loss 1.9282 (2.0928) Prec@1 44.375 (46.402) Prec@5 79.375 (76.975) Epoch: [35][10210/11272] Time 0.864 (0.798) Data 0.001 (0.002) Loss 2.1278 (2.0929) Prec@1 50.000 (46.401) Prec@5 75.000 (76.973) Epoch: [35][10220/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 1.9760 (2.0929) Prec@1 46.875 (46.402) Prec@5 79.375 (76.973) Epoch: [35][10230/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 2.1112 (2.0929) Prec@1 44.375 (46.402) Prec@5 78.750 (76.973) Epoch: [35][10240/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 2.0852 (2.0929) Prec@1 43.125 (46.404) Prec@5 78.125 (76.973) Epoch: [35][10250/11272] Time 0.882 (0.798) Data 0.002 (0.002) Loss 1.8058 (2.0928) Prec@1 52.500 (46.406) Prec@5 85.625 (76.973) Epoch: [35][10260/11272] Time 0.815 (0.798) Data 0.001 (0.002) Loss 2.2123 (2.0929) Prec@1 41.875 (46.405) Prec@5 71.875 (76.972) Epoch: [35][10270/11272] Time 0.750 (0.798) Data 0.001 (0.002) Loss 2.1309 (2.0929) Prec@1 48.750 (46.405) Prec@5 77.500 (76.973) Epoch: [35][10280/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.2033 (2.0929) Prec@1 48.750 (46.406) Prec@5 76.250 (76.972) Epoch: [35][10290/11272] Time 0.821 (0.798) Data 0.002 (0.002) Loss 2.3398 (2.0930) Prec@1 40.625 (46.406) Prec@5 72.500 (76.972) Epoch: [35][10300/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.2367 (2.0930) Prec@1 47.500 (46.407) Prec@5 74.375 (76.972) Epoch: [35][10310/11272] Time 0.766 (0.798) Data 0.002 (0.002) Loss 2.0584 (2.0929) Prec@1 43.125 (46.407) Prec@5 83.125 (76.973) Epoch: [35][10320/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.0821 (2.0929) Prec@1 46.250 (46.408) Prec@5 75.625 (76.973) Epoch: [35][10330/11272] Time 0.827 (0.798) Data 0.002 (0.002) Loss 2.1127 (2.0930) Prec@1 43.125 (46.407) Prec@5 78.125 (76.972) Epoch: [35][10340/11272] Time 0.761 (0.798) Data 0.004 (0.002) Loss 2.1567 (2.0930) Prec@1 45.000 (46.406) Prec@5 75.625 (76.971) Epoch: [35][10350/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.1246 (2.0930) Prec@1 48.750 (46.407) Prec@5 74.375 (76.971) Epoch: [35][10360/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.0817 (2.0931) Prec@1 41.875 (46.405) Prec@5 75.000 (76.969) Epoch: [35][10370/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 2.1432 (2.0931) Prec@1 40.000 (46.403) Prec@5 75.625 (76.968) Epoch: [35][10380/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.0856 (2.0932) Prec@1 46.250 (46.400) Prec@5 77.500 (76.966) Epoch: [35][10390/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 2.0738 (2.0932) Prec@1 46.250 (46.402) Prec@5 77.500 (76.967) Epoch: [35][10400/11272] Time 0.877 (0.798) Data 0.002 (0.002) Loss 1.9610 (2.0932) Prec@1 50.000 (46.402) Prec@5 76.250 (76.967) Epoch: [35][10410/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 2.2993 (2.0931) Prec@1 43.125 (46.402) Prec@5 72.500 (76.968) Epoch: [35][10420/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 2.1151 (2.0932) Prec@1 47.500 (46.400) Prec@5 75.625 (76.968) Epoch: [35][10430/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 2.0378 (2.0932) Prec@1 48.750 (46.400) Prec@5 78.125 (76.969) Epoch: [35][10440/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 2.1422 (2.0931) Prec@1 44.375 (46.401) Prec@5 73.125 (76.971) Epoch: [35][10450/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.7328 (2.0931) Prec@1 47.500 (46.402) Prec@5 84.375 (76.970) Epoch: [35][10460/11272] Time 0.758 (0.798) Data 0.002 (0.002) Loss 2.1118 (2.0932) Prec@1 52.500 (46.401) Prec@5 74.375 (76.969) Epoch: [35][10470/11272] Time 0.894 (0.798) Data 0.002 (0.002) Loss 2.0429 (2.0930) Prec@1 46.250 (46.403) Prec@5 77.500 (76.972) Epoch: [35][10480/11272] Time 0.894 (0.798) Data 0.003 (0.002) Loss 2.2479 (2.0931) Prec@1 46.250 (46.403) Prec@5 72.500 (76.970) Epoch: [35][10490/11272] Time 0.761 (0.798) Data 0.001 (0.002) Loss 2.0670 (2.0930) Prec@1 49.375 (46.403) Prec@5 76.250 (76.971) Epoch: [35][10500/11272] Time 0.738 (0.798) Data 0.001 (0.002) Loss 1.8192 (2.0930) Prec@1 52.500 (46.403) Prec@5 80.000 (76.971) Epoch: [35][10510/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 2.4343 (2.0931) Prec@1 41.875 (46.402) Prec@5 67.500 (76.970) Epoch: [35][10520/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 2.1588 (2.0931) Prec@1 44.375 (46.401) Prec@5 80.000 (76.971) Epoch: [35][10530/11272] Time 0.718 (0.798) Data 0.001 (0.002) Loss 2.0602 (2.0932) Prec@1 48.125 (46.400) Prec@5 76.250 (76.970) Epoch: [35][10540/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.3502 (2.0932) Prec@1 41.250 (46.400) Prec@5 70.000 (76.969) Epoch: [35][10550/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 2.1075 (2.0932) Prec@1 46.250 (46.398) Prec@5 74.375 (76.969) Epoch: [35][10560/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 2.1347 (2.0933) Prec@1 46.875 (46.398) Prec@5 78.125 (76.968) Epoch: [35][10570/11272] Time 0.758 (0.798) Data 0.002 (0.002) Loss 2.0395 (2.0932) Prec@1 45.000 (46.400) Prec@5 83.125 (76.969) Epoch: [35][10580/11272] Time 0.755 (0.798) Data 0.001 (0.002) Loss 2.2494 (2.0933) Prec@1 43.125 (46.399) Prec@5 73.750 (76.967) Epoch: [35][10590/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 2.0645 (2.0933) Prec@1 50.000 (46.399) Prec@5 75.000 (76.967) Epoch: [35][10600/11272] Time 0.720 (0.798) Data 0.003 (0.002) Loss 1.9963 (2.0932) Prec@1 46.875 (46.401) Prec@5 75.000 (76.967) Epoch: [35][10610/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.2907 (2.0933) Prec@1 45.000 (46.401) Prec@5 73.125 (76.965) Epoch: [35][10620/11272] Time 0.847 (0.798) Data 0.001 (0.002) Loss 2.1746 (2.0933) Prec@1 46.875 (46.400) Prec@5 76.875 (76.964) Epoch: [35][10630/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 2.1184 (2.0933) Prec@1 46.875 (46.400) Prec@5 77.500 (76.966) Epoch: [35][10640/11272] Time 0.758 (0.798) Data 0.003 (0.002) Loss 2.1497 (2.0933) Prec@1 47.500 (46.400) Prec@5 75.000 (76.966) Epoch: [35][10650/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.1354 (2.0933) Prec@1 41.250 (46.400) Prec@5 75.625 (76.966) Epoch: [35][10660/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 2.1275 (2.0933) Prec@1 51.875 (46.400) Prec@5 78.125 (76.965) Epoch: [35][10670/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 2.0753 (2.0933) Prec@1 39.375 (46.399) Prec@5 78.750 (76.966) Epoch: [35][10680/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0066 (2.0933) Prec@1 48.125 (46.398) Prec@5 78.750 (76.966) Epoch: [35][10690/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 1.9684 (2.0933) Prec@1 52.500 (46.398) Prec@5 78.125 (76.966) Epoch: [35][10700/11272] Time 0.951 (0.798) Data 0.002 (0.002) Loss 2.1352 (2.0933) Prec@1 43.125 (46.401) Prec@5 79.375 (76.966) Epoch: [35][10710/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.9562 (2.0934) Prec@1 50.625 (46.399) Prec@5 78.750 (76.964) Epoch: [35][10720/11272] Time 0.747 (0.798) Data 0.001 (0.002) Loss 2.1708 (2.0935) Prec@1 41.250 (46.398) Prec@5 73.750 (76.963) Epoch: [35][10730/11272] Time 0.824 (0.798) Data 0.002 (0.002) Loss 1.9704 (2.0934) Prec@1 52.500 (46.398) Prec@5 78.125 (76.963) Epoch: [35][10740/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 2.0803 (2.0934) Prec@1 44.375 (46.397) Prec@5 75.625 (76.962) Epoch: [35][10750/11272] Time 0.779 (0.798) Data 0.002 (0.002) Loss 2.1001 (2.0934) Prec@1 48.125 (46.396) Prec@5 75.000 (76.962) Epoch: [35][10760/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 2.0383 (2.0934) Prec@1 48.125 (46.395) Prec@5 75.000 (76.962) Epoch: [35][10770/11272] Time 0.888 (0.798) Data 0.002 (0.002) Loss 2.1544 (2.0934) Prec@1 47.500 (46.396) Prec@5 75.625 (76.964) Epoch: [35][10780/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.2456 (2.0934) Prec@1 38.125 (46.395) Prec@5 78.125 (76.964) Epoch: [35][10790/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 1.9979 (2.0934) Prec@1 42.500 (46.395) Prec@5 82.500 (76.964) Epoch: [35][10800/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.0521 (2.0934) Prec@1 41.875 (46.394) Prec@5 80.000 (76.964) Epoch: [35][10810/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.7520 (2.0934) Prec@1 49.375 (46.393) Prec@5 85.000 (76.964) Epoch: [35][10820/11272] Time 0.810 (0.798) Data 0.001 (0.002) Loss 2.2024 (2.0934) Prec@1 40.000 (46.395) Prec@5 75.000 (76.965) Epoch: [35][10830/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 2.2418 (2.0934) Prec@1 46.250 (46.394) Prec@5 71.250 (76.964) Epoch: [35][10840/11272] Time 0.733 (0.798) Data 0.001 (0.002) Loss 2.1984 (2.0935) Prec@1 41.250 (46.394) Prec@5 75.625 (76.963) Epoch: [35][10850/11272] Time 0.934 (0.798) Data 0.002 (0.002) Loss 2.2569 (2.0935) Prec@1 45.000 (46.394) Prec@5 76.250 (76.963) Epoch: [35][10860/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.3084 (2.0935) Prec@1 44.375 (46.394) Prec@5 73.750 (76.964) Epoch: [35][10870/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.4097 (2.0935) Prec@1 41.250 (46.394) Prec@5 67.500 (76.964) Epoch: [35][10880/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.2393 (2.0936) Prec@1 43.750 (46.395) Prec@5 76.250 (76.963) Epoch: [35][10890/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.1412 (2.0936) Prec@1 41.250 (46.394) Prec@5 75.000 (76.963) Epoch: [35][10900/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.9418 (2.0937) Prec@1 48.750 (46.390) Prec@5 77.500 (76.960) Epoch: [35][10910/11272] Time 0.719 (0.798) Data 0.001 (0.002) Loss 1.9193 (2.0936) Prec@1 52.500 (46.392) Prec@5 81.250 (76.960) Epoch: [35][10920/11272] Time 0.875 (0.798) Data 0.001 (0.002) Loss 2.2145 (2.0936) Prec@1 40.000 (46.390) Prec@5 76.250 (76.960) Epoch: [35][10930/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 2.0319 (2.0937) Prec@1 46.875 (46.389) Prec@5 80.000 (76.958) Epoch: [35][10940/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 2.4339 (2.0937) Prec@1 40.000 (46.389) Prec@5 68.750 (76.958) Epoch: [35][10950/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.1383 (2.0938) Prec@1 47.500 (46.389) Prec@5 73.125 (76.957) Epoch: [35][10960/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 2.3069 (2.0938) Prec@1 44.375 (46.388) Prec@5 74.375 (76.957) Epoch: [35][10970/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.4125 (2.0939) Prec@1 41.250 (46.387) Prec@5 72.500 (76.957) Epoch: [35][10980/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 2.2532 (2.0939) Prec@1 41.875 (46.387) Prec@5 75.000 (76.957) Epoch: [35][10990/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.0860 (2.0939) Prec@1 49.375 (46.387) Prec@5 77.500 (76.959) Epoch: [35][11000/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 2.0654 (2.0938) Prec@1 46.875 (46.387) Prec@5 75.625 (76.959) Epoch: [35][11010/11272] Time 0.738 (0.798) Data 0.001 (0.002) Loss 2.0178 (2.0938) Prec@1 48.750 (46.388) Prec@5 76.250 (76.959) Epoch: [35][11020/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.2374 (2.0938) Prec@1 49.375 (46.390) Prec@5 71.250 (76.959) Epoch: [35][11030/11272] Time 0.878 (0.798) Data 0.002 (0.002) Loss 2.1605 (2.0938) Prec@1 50.625 (46.392) Prec@5 72.500 (76.959) Epoch: [35][11040/11272] Time 0.877 (0.798) Data 0.002 (0.002) Loss 2.0354 (2.0937) Prec@1 47.500 (46.394) Prec@5 75.625 (76.961) Epoch: [35][11050/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 2.0521 (2.0938) Prec@1 48.125 (46.393) Prec@5 80.000 (76.960) Epoch: [35][11060/11272] Time 0.821 (0.798) Data 0.002 (0.002) Loss 2.0936 (2.0938) Prec@1 46.250 (46.393) Prec@5 80.000 (76.961) Epoch: [35][11070/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.9452 (2.0938) Prec@1 51.250 (46.394) Prec@5 79.375 (76.961) Epoch: [35][11080/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 2.0386 (2.0938) Prec@1 45.625 (46.395) Prec@5 80.625 (76.960) Epoch: [35][11090/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 2.1290 (2.0937) Prec@1 46.250 (46.396) Prec@5 78.125 (76.961) Epoch: [35][11100/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 1.9938 (2.0938) Prec@1 46.250 (46.394) Prec@5 81.250 (76.961) Epoch: [35][11110/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.3094 (2.0938) Prec@1 41.250 (46.394) Prec@5 73.125 (76.960) Epoch: [35][11120/11272] Time 0.829 (0.798) Data 0.002 (0.002) Loss 2.1068 (2.0938) Prec@1 46.250 (46.394) Prec@5 78.750 (76.960) Epoch: [35][11130/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.9710 (2.0938) Prec@1 50.625 (46.395) Prec@5 75.000 (76.959) Epoch: [35][11140/11272] Time 0.866 (0.798) Data 0.001 (0.002) Loss 2.1378 (2.0938) Prec@1 44.375 (46.395) Prec@5 79.375 (76.960) Epoch: [35][11150/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.3294 (2.0938) Prec@1 37.500 (46.395) Prec@5 74.375 (76.960) Epoch: [35][11160/11272] Time 0.778 (0.798) Data 0.002 (0.002) Loss 2.2884 (2.0939) Prec@1 45.625 (46.393) Prec@5 71.875 (76.959) Epoch: [35][11170/11272] Time 0.809 (0.798) Data 0.002 (0.002) Loss 2.0736 (2.0939) Prec@1 46.250 (46.392) Prec@5 80.000 (76.958) Epoch: [35][11180/11272] Time 0.888 (0.798) Data 0.002 (0.002) Loss 2.1854 (2.0939) Prec@1 50.000 (46.392) Prec@5 75.625 (76.959) Epoch: [35][11190/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.2299 (2.0939) Prec@1 50.625 (46.392) Prec@5 75.625 (76.959) Epoch: [35][11200/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 2.1365 (2.0939) Prec@1 43.750 (46.392) Prec@5 76.250 (76.959) Epoch: [35][11210/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 2.0226 (2.0939) Prec@1 46.250 (46.391) Prec@5 77.500 (76.958) Epoch: [35][11220/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.3231 (2.0940) Prec@1 41.250 (46.391) Prec@5 75.000 (76.958) Epoch: [35][11230/11272] Time 0.863 (0.798) Data 0.002 (0.002) Loss 2.1035 (2.0940) Prec@1 47.500 (46.390) Prec@5 75.000 (76.956) Epoch: [35][11240/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 1.9375 (2.0940) Prec@1 50.000 (46.390) Prec@5 83.125 (76.957) Epoch: [35][11250/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 2.2071 (2.0940) Prec@1 47.500 (46.390) Prec@5 75.000 (76.957) Epoch: [35][11260/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 1.9999 (2.0941) Prec@1 49.375 (46.391) Prec@5 75.625 (76.956) Epoch: [35][11270/11272] Time 0.756 (0.798) Data 0.000 (0.002) Loss 1.8754 (2.0940) Prec@1 48.125 (46.391) Prec@5 81.875 (76.956) Test: [0/229] Time 1.629 (1.629) Loss 1.0764 (1.0764) Prec@1 69.375 (69.375) Prec@5 93.750 (93.750) Test: [10/229] Time 0.406 (0.514) Loss 1.0192 (1.6266) Prec@1 66.875 (56.875) Prec@5 97.500 (86.591) Test: [20/229] Time 0.371 (0.462) Loss 2.4866 (1.7823) Prec@1 41.250 (52.411) Prec@5 68.125 (83.780) Test: [30/229] Time 0.421 (0.434) Loss 2.0450 (1.7237) Prec@1 40.625 (54.012) Prec@5 81.250 (84.335) Test: [40/229] Time 0.370 (0.423) Loss 0.4448 (1.7101) Prec@1 88.750 (54.177) Prec@5 95.625 (84.451) Test: [50/229] Time 0.444 (0.419) Loss 2.4693 (1.7710) Prec@1 31.250 (53.027) Prec@5 76.875 (82.941) Test: [60/229] Time 0.418 (0.414) Loss 2.0530 (1.7633) Prec@1 40.625 (52.930) Prec@5 80.625 (83.176) Test: [70/229] Time 0.356 (0.411) Loss 1.3907 (1.7739) Prec@1 68.750 (52.570) Prec@5 85.625 (83.107) Test: [80/229] Time 0.454 (0.409) Loss 2.4609 (1.7969) Prec@1 31.250 (51.728) Prec@5 78.750 (83.094) Test: [90/229] Time 0.366 (0.407) Loss 1.2795 (1.7902) Prec@1 68.750 (51.930) Prec@5 87.500 (83.359) Test: [100/229] Time 0.438 (0.408) Loss 2.4533 (1.7782) Prec@1 45.625 (52.457) Prec@5 75.625 (83.521) Test: [110/229] Time 0.340 (0.405) Loss 1.5198 (1.7626) Prec@1 54.375 (52.753) Prec@5 85.625 (83.620) Test: [120/229] Time 0.351 (0.403) Loss 2.7923 (1.7884) Prec@1 28.750 (52.138) Prec@5 75.625 (83.239) Test: [130/229] Time 0.451 (0.403) Loss 1.2436 (1.7733) Prec@1 63.125 (52.529) Prec@5 91.250 (83.397) Test: [140/229] Time 0.321 (0.403) Loss 1.6045 (1.7837) Prec@1 60.000 (52.292) Prec@5 86.875 (83.360) Test: [150/229] Time 0.402 (0.402) Loss 1.0431 (1.7987) Prec@1 78.125 (51.970) Prec@5 90.000 (83.150) Test: [160/229] Time 0.387 (0.402) Loss 1.6287 (1.7984) Prec@1 65.000 (51.859) Prec@5 86.875 (83.195) Test: [170/229] Time 0.453 (0.401) Loss 2.0476 (1.8158) Prec@1 48.750 (51.374) Prec@5 80.625 (82.898) Test: [180/229] Time 0.343 (0.400) Loss 2.6777 (1.8250) Prec@1 28.125 (51.291) Prec@5 64.375 (82.628) Test: [190/229] Time 0.384 (0.399) Loss 1.4770 (1.8169) Prec@1 59.375 (51.538) Prec@5 91.250 (82.759) Test: [200/229] Time 0.473 (0.400) Loss 1.7262 (1.8067) Prec@1 51.875 (51.657) Prec@5 85.000 (82.963) Test: [210/229] Time 0.361 (0.399) Loss 1.2024 (1.7950) Prec@1 65.000 (51.949) Prec@5 91.875 (83.184) Test: [220/229] Time 0.455 (0.399) Loss 1.4804 (1.7859) Prec@1 58.125 (52.277) Prec@5 88.125 (83.247) * Prec@1 52.591 Prec@5 83.379 Epoch: [36][0/11272] Time 3.196 (3.196) Data 2.253 (2.253) Loss 2.2515 (2.2515) Prec@1 40.625 (40.625) Prec@5 75.625 (75.625) Epoch: [36][10/11272] Time 0.734 (1.028) Data 0.002 (0.206) Loss 2.1196 (2.1689) Prec@1 45.625 (45.114) Prec@5 73.125 (75.398) Epoch: [36][20/11272] Time 0.729 (0.918) Data 0.002 (0.109) Loss 2.0132 (2.1207) Prec@1 45.000 (45.625) Prec@5 81.875 (77.083) Epoch: [36][30/11272] Time 0.873 (0.879) Data 0.002 (0.074) Loss 1.8879 (2.0827) Prec@1 52.500 (46.532) Prec@5 81.250 (77.823) Epoch: [36][40/11272] Time 0.815 (0.862) Data 0.001 (0.057) Loss 1.7800 (2.0659) Prec@1 46.875 (46.814) Prec@5 78.750 (77.820) Epoch: [36][50/11272] Time 0.791 (0.850) Data 0.002 (0.046) Loss 2.2186 (2.0705) Prec@1 41.250 (46.752) Prec@5 75.625 (77.721) Epoch: [36][60/11272] Time 0.903 (0.843) Data 0.001 (0.039) Loss 1.7870 (2.0666) Prec@1 53.125 (46.783) Prec@5 82.500 (77.705) Epoch: [36][70/11272] Time 0.873 (0.836) Data 0.001 (0.033) Loss 1.9130 (2.0553) Prec@1 49.375 (47.042) Prec@5 79.375 (77.808) Epoch: [36][80/11272] Time 0.740 (0.832) Data 0.001 (0.029) Loss 2.2505 (2.0651) Prec@1 41.250 (46.767) Prec@5 75.625 (77.485) Epoch: [36][90/11272] Time 0.757 (0.829) Data 0.002 (0.026) Loss 1.8820 (2.0664) Prec@1 48.125 (46.655) Prec@5 79.375 (77.548) Epoch: [36][100/11272] Time 0.833 (0.825) Data 0.002 (0.024) Loss 1.9739 (2.0643) Prec@1 49.375 (46.795) Prec@5 80.000 (77.450) Epoch: [36][110/11272] Time 0.862 (0.822) Data 0.002 (0.022) Loss 1.7978 (2.0670) Prec@1 53.750 (46.836) Prec@5 81.250 (77.444) Epoch: [36][120/11272] Time 0.743 (0.820) Data 0.002 (0.020) Loss 2.0252 (2.0628) Prec@1 46.875 (46.968) Prec@5 78.125 (77.526) Epoch: [36][130/11272] Time 0.726 (0.819) Data 0.001 (0.019) Loss 2.0262 (2.0639) Prec@1 50.000 (47.104) Prec@5 80.000 (77.481) Epoch: [36][140/11272] Time 0.851 (0.818) Data 0.002 (0.018) Loss 2.1717 (2.0658) Prec@1 52.500 (47.119) Prec@5 75.625 (77.442) Epoch: [36][150/11272] Time 0.799 (0.816) Data 0.001 (0.017) Loss 1.9612 (2.0630) Prec@1 51.875 (47.173) Prec@5 78.750 (77.401) Epoch: [36][160/11272] Time 0.729 (0.814) Data 0.002 (0.016) Loss 2.0908 (2.0659) Prec@1 46.875 (47.108) Prec@5 80.000 (77.368) Epoch: [36][170/11272] Time 0.723 (0.813) Data 0.002 (0.015) Loss 2.0049 (2.0716) Prec@1 45.625 (46.937) Prec@5 78.125 (77.182) Epoch: [36][180/11272] Time 0.825 (0.812) Data 0.002 (0.014) Loss 2.0695 (2.0727) Prec@1 44.375 (46.844) Prec@5 78.750 (77.172) Epoch: [36][190/11272] Time 0.754 (0.811) Data 0.004 (0.013) Loss 1.9098 (2.0676) Prec@1 50.625 (46.921) Prec@5 80.625 (77.222) Epoch: [36][200/11272] Time 0.721 (0.810) Data 0.001 (0.013) Loss 2.0211 (2.0669) Prec@1 50.625 (46.884) Prec@5 79.375 (77.267) Epoch: [36][210/11272] Time 0.844 (0.809) Data 0.001 (0.012) Loss 1.9209 (2.0647) Prec@1 45.625 (46.934) Prec@5 82.500 (77.325) Epoch: [36][220/11272] Time 0.874 (0.810) Data 0.002 (0.012) Loss 1.7063 (2.0628) Prec@1 53.750 (46.988) Prec@5 81.250 (77.390) Epoch: [36][230/11272] Time 0.781 (0.810) Data 0.002 (0.011) Loss 2.1099 (2.0648) Prec@1 44.375 (46.962) Prec@5 77.500 (77.373) Epoch: [36][240/11272] Time 0.723 (0.809) Data 0.001 (0.011) Loss 2.1641 (2.0643) Prec@1 46.250 (47.010) Prec@5 77.500 (77.407) Epoch: [36][250/11272] Time 0.868 (0.810) Data 0.002 (0.011) Loss 1.9353 (2.0635) Prec@1 48.750 (47.057) Prec@5 83.750 (77.443) Epoch: [36][260/11272] Time 0.878 (0.809) Data 0.002 (0.010) Loss 2.0278 (2.0647) Prec@1 48.125 (47.009) Prec@5 76.875 (77.402) Epoch: [36][270/11272] Time 0.749 (0.808) Data 0.002 (0.010) Loss 2.0372 (2.0654) Prec@1 46.875 (47.030) Prec@5 76.250 (77.389) Epoch: [36][280/11272] Time 0.745 (0.808) Data 0.002 (0.010) Loss 2.1223 (2.0681) Prec@1 46.875 (46.946) Prec@5 73.125 (77.347) Epoch: [36][290/11272] Time 0.839 (0.808) Data 0.002 (0.009) Loss 1.9344 (2.0673) Prec@1 51.875 (46.972) Prec@5 78.750 (77.378) Epoch: [36][300/11272] Time 0.828 (0.808) Data 0.002 (0.009) Loss 2.1659 (2.0720) Prec@1 50.000 (46.894) Prec@5 77.500 (77.255) Epoch: [36][310/11272] Time 0.725 (0.807) Data 0.002 (0.009) Loss 2.1278 (2.0720) Prec@1 51.875 (46.927) Prec@5 75.625 (77.237) Epoch: [36][320/11272] Time 0.853 (0.807) Data 0.001 (0.009) Loss 1.7813 (2.0719) Prec@1 51.875 (46.941) Prec@5 83.750 (77.266) Epoch: [36][330/11272] Time 0.860 (0.807) Data 0.002 (0.008) Loss 2.2000 (2.0754) Prec@1 49.375 (46.864) Prec@5 73.750 (77.181) Epoch: [36][340/11272] Time 0.754 (0.807) Data 0.001 (0.008) Loss 2.0047 (2.0737) Prec@1 53.125 (46.935) Prec@5 76.250 (77.232) Epoch: [36][350/11272] Time 0.769 (0.806) Data 0.002 (0.008) Loss 2.2784 (2.0726) Prec@1 46.250 (46.971) Prec@5 71.250 (77.245) Epoch: [36][360/11272] Time 0.857 (0.806) Data 0.001 (0.008) Loss 2.0665 (2.0726) Prec@1 46.250 (46.970) Prec@5 79.375 (77.277) Epoch: [36][370/11272] Time 0.869 (0.806) Data 0.002 (0.008) Loss 2.0361 (2.0731) Prec@1 49.375 (46.969) Prec@5 78.125 (77.232) Epoch: [36][380/11272] Time 0.723 (0.806) Data 0.001 (0.008) Loss 2.1823 (2.0720) Prec@1 52.500 (47.034) Prec@5 71.875 (77.249) Epoch: [36][390/11272] Time 0.738 (0.805) Data 0.001 (0.007) Loss 1.9771 (2.0709) Prec@1 49.375 (47.036) Prec@5 81.250 (77.255) Epoch: [36][400/11272] Time 0.845 (0.805) Data 0.001 (0.007) Loss 1.8986 (2.0692) Prec@1 51.875 (47.084) Prec@5 81.875 (77.282) Epoch: [36][410/11272] Time 0.905 (0.805) Data 0.002 (0.007) Loss 1.6855 (2.0668) Prec@1 54.375 (47.120) Prec@5 83.750 (77.327) Epoch: [36][420/11272] Time 0.747 (0.805) Data 0.002 (0.007) Loss 1.9817 (2.0649) Prec@1 48.750 (47.154) Prec@5 79.375 (77.369) Epoch: [36][430/11272] Time 0.728 (0.805) Data 0.002 (0.007) Loss 2.2135 (2.0655) Prec@1 43.750 (47.149) Prec@5 76.875 (77.361) Epoch: [36][440/11272] Time 0.870 (0.805) Data 0.002 (0.007) Loss 1.9783 (2.0658) Prec@1 53.750 (47.105) Prec@5 75.625 (77.344) Epoch: [36][450/11272] Time 0.838 (0.804) Data 0.002 (0.007) Loss 2.0097 (2.0646) Prec@1 46.250 (47.104) Prec@5 81.875 (77.371) Epoch: [36][460/11272] Time 0.738 (0.804) Data 0.002 (0.007) Loss 2.0953 (2.0660) Prec@1 50.000 (47.089) Prec@5 77.500 (77.350) Epoch: [36][470/11272] Time 0.871 (0.804) Data 0.002 (0.006) Loss 2.3448 (2.0667) Prec@1 43.125 (47.090) Prec@5 70.000 (77.369) Epoch: [36][480/11272] Time 0.848 (0.804) Data 0.001 (0.006) Loss 2.0735 (2.0662) Prec@1 44.375 (47.084) Prec@5 74.375 (77.377) Epoch: [36][490/11272] Time 0.758 (0.804) Data 0.002 (0.006) Loss 2.0368 (2.0657) Prec@1 48.750 (47.109) Prec@5 80.000 (77.393) Epoch: [36][500/11272] Time 0.739 (0.804) Data 0.002 (0.006) Loss 2.4502 (2.0664) Prec@1 42.500 (47.131) Prec@5 73.750 (77.393) Epoch: [36][510/11272] Time 0.862 (0.804) Data 0.002 (0.006) Loss 1.9848 (2.0660) Prec@1 49.375 (47.150) Prec@5 81.250 (77.402) Epoch: [36][520/11272] Time 0.852 (0.804) Data 0.002 (0.006) Loss 2.2965 (2.0657) Prec@1 41.250 (47.132) Prec@5 70.625 (77.405) Epoch: [36][530/11272] Time 0.734 (0.804) Data 0.002 (0.006) Loss 2.2860 (2.0673) Prec@1 46.250 (47.109) Prec@5 71.875 (77.399) Epoch: [36][540/11272] Time 0.735 (0.804) Data 0.001 (0.006) Loss 1.8888 (2.0671) Prec@1 48.125 (47.105) Prec@5 80.625 (77.411) Epoch: [36][550/11272] Time 0.921 (0.805) Data 0.002 (0.006) Loss 2.1469 (2.0662) Prec@1 46.875 (47.123) Prec@5 77.500 (77.419) Epoch: [36][560/11272] Time 0.867 (0.805) Data 0.002 (0.006) Loss 1.9656 (2.0668) Prec@1 44.375 (47.118) Prec@5 78.125 (77.411) Epoch: [36][570/11272] Time 0.754 (0.804) Data 0.002 (0.006) Loss 1.8769 (2.0678) Prec@1 48.125 (47.079) Prec@5 85.000 (77.418) Epoch: [36][580/11272] Time 0.730 (0.804) Data 0.001 (0.005) Loss 2.0162 (2.0681) Prec@1 43.750 (47.051) Prec@5 80.000 (77.427) Epoch: [36][590/11272] Time 0.888 (0.804) Data 0.002 (0.005) Loss 1.9148 (2.0682) Prec@1 50.000 (47.044) Prec@5 77.500 (77.396) Epoch: [36][600/11272] Time 0.735 (0.804) Data 0.001 (0.005) Loss 2.2644 (2.0687) Prec@1 42.500 (47.034) Prec@5 72.500 (77.381) Epoch: [36][610/11272] Time 0.747 (0.804) Data 0.001 (0.005) Loss 2.2653 (2.0693) Prec@1 45.625 (47.018) Prec@5 77.500 (77.385) Epoch: [36][620/11272] Time 0.847 (0.804) Data 0.001 (0.005) Loss 2.1598 (2.0694) Prec@1 48.125 (47.018) Prec@5 73.750 (77.362) Epoch: [36][630/11272] Time 0.808 (0.804) Data 0.001 (0.005) Loss 1.8596 (2.0686) Prec@1 49.375 (47.043) Prec@5 80.625 (77.385) Epoch: [36][640/11272] Time 0.758 (0.804) Data 0.001 (0.005) Loss 2.1765 (2.0689) Prec@1 47.500 (47.065) Prec@5 75.625 (77.392) Epoch: [36][650/11272] Time 0.742 (0.804) Data 0.001 (0.005) Loss 2.0440 (2.0700) Prec@1 45.625 (47.058) Prec@5 75.000 (77.367) Epoch: [36][660/11272] Time 0.851 (0.804) Data 0.002 (0.005) Loss 1.9000 (2.0703) Prec@1 49.375 (47.057) Prec@5 80.625 (77.368) Epoch: [36][670/11272] Time 0.825 (0.804) Data 0.002 (0.005) Loss 2.0631 (2.0715) Prec@1 51.250 (47.041) Prec@5 79.375 (77.336) Epoch: [36][680/11272] Time 0.757 (0.803) Data 0.002 (0.005) Loss 2.0384 (2.0717) Prec@1 51.250 (47.050) Prec@5 74.375 (77.324) Epoch: [36][690/11272] Time 0.755 (0.803) Data 0.002 (0.005) Loss 2.0811 (2.0713) Prec@1 47.500 (47.060) Prec@5 77.500 (77.334) Epoch: [36][700/11272] Time 0.840 (0.804) Data 0.002 (0.005) Loss 2.0537 (2.0702) Prec@1 47.500 (47.090) Prec@5 81.875 (77.346) Epoch: [36][710/11272] Time 0.844 (0.804) Data 0.001 (0.005) Loss 2.1011 (2.0688) Prec@1 47.500 (47.118) Prec@5 77.500 (77.367) Epoch: [36][720/11272] Time 0.720 (0.804) Data 0.001 (0.005) Loss 2.2761 (2.0701) Prec@1 42.500 (47.095) Prec@5 73.750 (77.329) Epoch: [36][730/11272] Time 0.869 (0.804) Data 0.002 (0.005) Loss 2.2608 (2.0698) Prec@1 45.000 (47.105) Prec@5 78.125 (77.345) Epoch: [36][740/11272] Time 0.884 (0.804) Data 0.001 (0.005) Loss 2.2537 (2.0693) Prec@1 45.000 (47.117) Prec@5 76.250 (77.360) Epoch: [36][750/11272] Time 0.740 (0.804) Data 0.001 (0.005) Loss 1.8570 (2.0688) Prec@1 53.125 (47.137) Prec@5 83.125 (77.367) Epoch: [36][760/11272] Time 0.747 (0.803) Data 0.001 (0.005) Loss 2.1561 (2.0683) Prec@1 44.375 (47.147) Prec@5 77.500 (77.356) Epoch: [36][770/11272] Time 0.879 (0.803) Data 0.002 (0.005) Loss 1.9693 (2.0693) Prec@1 47.500 (47.122) Prec@5 80.000 (77.345) Epoch: [36][780/11272] Time 0.882 (0.804) Data 0.001 (0.005) Loss 2.1340 (2.0691) Prec@1 48.750 (47.136) Prec@5 75.000 (77.346) Epoch: [36][790/11272] Time 0.737 (0.804) Data 0.002 (0.004) Loss 1.9294 (2.0688) Prec@1 45.625 (47.132) Prec@5 79.375 (77.346) Epoch: [36][800/11272] Time 0.723 (0.804) Data 0.002 (0.004) Loss 1.9375 (2.0689) Prec@1 46.875 (47.125) Prec@5 78.750 (77.346) Epoch: [36][810/11272] Time 0.837 (0.804) Data 0.002 (0.004) Loss 2.1220 (2.0700) Prec@1 50.625 (47.109) Prec@5 73.125 (77.310) Epoch: [36][820/11272] Time 0.851 (0.804) Data 0.002 (0.004) Loss 2.1660 (2.0705) Prec@1 43.750 (47.088) Prec@5 78.750 (77.301) Epoch: [36][830/11272] Time 0.729 (0.804) Data 0.002 (0.004) Loss 1.9734 (2.0701) Prec@1 47.500 (47.077) Prec@5 82.500 (77.324) Epoch: [36][840/11272] Time 0.726 (0.803) Data 0.002 (0.004) Loss 1.9287 (2.0704) Prec@1 46.250 (47.070) Prec@5 79.375 (77.318) Epoch: [36][850/11272] Time 0.846 (0.803) Data 0.002 (0.004) Loss 2.1494 (2.0695) Prec@1 45.000 (47.085) Prec@5 77.500 (77.344) Epoch: [36][860/11272] Time 0.742 (0.803) Data 0.003 (0.004) Loss 2.1064 (2.0698) Prec@1 49.375 (47.093) Prec@5 79.375 (77.341) Epoch: [36][870/11272] Time 0.735 (0.803) Data 0.002 (0.004) Loss 2.2295 (2.0702) Prec@1 42.500 (47.085) Prec@5 73.750 (77.341) Epoch: [36][880/11272] Time 0.847 (0.803) Data 0.002 (0.004) Loss 2.1910 (2.0708) Prec@1 41.875 (47.069) Prec@5 74.375 (77.326) Epoch: [36][890/11272] Time 0.870 (0.803) Data 0.002 (0.004) Loss 1.9936 (2.0698) Prec@1 45.625 (47.078) Prec@5 82.500 (77.356) Epoch: [36][900/11272] Time 0.733 (0.803) Data 0.001 (0.004) Loss 1.9892 (2.0700) Prec@1 45.625 (47.061) Prec@5 77.500 (77.348) Epoch: [36][910/11272] Time 0.769 (0.803) Data 0.002 (0.004) Loss 1.9409 (2.0695) Prec@1 47.500 (47.064) Prec@5 80.625 (77.358) Epoch: [36][920/11272] Time 0.870 (0.803) Data 0.001 (0.004) Loss 2.2243 (2.0700) Prec@1 42.500 (47.043) Prec@5 73.750 (77.341) Epoch: [36][930/11272] Time 0.848 (0.803) Data 0.002 (0.004) Loss 1.9458 (2.0700) Prec@1 50.625 (47.039) Prec@5 79.375 (77.344) Epoch: [36][940/11272] Time 0.725 (0.803) Data 0.001 (0.004) Loss 2.1431 (2.0692) Prec@1 46.875 (47.060) Prec@5 73.750 (77.359) Epoch: [36][950/11272] Time 0.746 (0.803) Data 0.002 (0.004) Loss 2.0063 (2.0701) Prec@1 48.125 (47.033) Prec@5 76.875 (77.348) Epoch: [36][960/11272] Time 0.865 (0.803) Data 0.002 (0.004) Loss 2.0286 (2.0701) Prec@1 45.625 (47.021) Prec@5 78.750 (77.349) Epoch: [36][970/11272] Time 0.836 (0.802) Data 0.002 (0.004) Loss 2.1156 (2.0709) Prec@1 42.500 (46.996) Prec@5 77.500 (77.332) Epoch: [36][980/11272] Time 0.737 (0.802) Data 0.002 (0.004) Loss 1.9018 (2.0704) Prec@1 50.000 (47.004) Prec@5 82.500 (77.342) Epoch: [36][990/11272] Time 0.902 (0.802) Data 0.002 (0.004) Loss 1.9702 (2.0704) Prec@1 50.000 (47.004) Prec@5 76.875 (77.338) Epoch: [36][1000/11272] Time 0.869 (0.802) Data 0.001 (0.004) Loss 2.1116 (2.0710) Prec@1 45.625 (46.986) Prec@5 74.375 (77.324) Epoch: [36][1010/11272] Time 0.729 (0.802) Data 0.002 (0.004) Loss 2.3122 (2.0718) Prec@1 44.375 (46.991) Prec@5 70.000 (77.310) Epoch: [36][1020/11272] Time 0.737 (0.802) Data 0.002 (0.004) Loss 1.9042 (2.0719) Prec@1 51.250 (46.990) Prec@5 79.375 (77.316) Epoch: [36][1030/11272] Time 0.890 (0.802) Data 0.002 (0.004) Loss 2.0639 (2.0714) Prec@1 51.250 (47.019) Prec@5 76.250 (77.315) Epoch: [36][1040/11272] Time 0.858 (0.802) Data 0.001 (0.004) Loss 2.0468 (2.0720) Prec@1 50.625 (47.001) Prec@5 80.000 (77.314) Epoch: [36][1050/11272] Time 0.748 (0.802) Data 0.002 (0.004) Loss 2.3973 (2.0728) Prec@1 33.125 (46.980) Prec@5 73.125 (77.304) Epoch: [36][1060/11272] Time 0.732 (0.802) Data 0.002 (0.004) Loss 2.0683 (2.0726) Prec@1 52.500 (46.989) Prec@5 76.875 (77.312) Epoch: [36][1070/11272] Time 0.862 (0.802) Data 0.002 (0.004) Loss 2.1420 (2.0722) Prec@1 46.250 (46.998) Prec@5 75.000 (77.325) Epoch: [36][1080/11272] Time 0.825 (0.802) Data 0.001 (0.004) Loss 1.8940 (2.0722) Prec@1 50.000 (46.992) Prec@5 78.125 (77.327) Epoch: [36][1090/11272] Time 0.739 (0.802) Data 0.002 (0.004) Loss 1.9358 (2.0723) Prec@1 55.000 (46.995) Prec@5 78.750 (77.325) Epoch: [36][1100/11272] Time 0.763 (0.802) Data 0.002 (0.004) Loss 1.8229 (2.0722) Prec@1 53.750 (46.991) Prec@5 80.000 (77.321) Epoch: [36][1110/11272] Time 0.860 (0.802) Data 0.002 (0.004) Loss 2.1803 (2.0720) Prec@1 42.500 (47.007) Prec@5 75.625 (77.317) Epoch: [36][1120/11272] Time 0.755 (0.802) Data 0.003 (0.004) Loss 2.2104 (2.0726) Prec@1 42.500 (47.000) Prec@5 76.250 (77.308) Epoch: [36][1130/11272] Time 0.772 (0.802) Data 0.002 (0.004) Loss 2.1390 (2.0729) Prec@1 43.750 (46.983) Prec@5 72.500 (77.298) Epoch: [36][1140/11272] Time 0.851 (0.802) Data 0.001 (0.004) Loss 1.9815 (2.0727) Prec@1 50.625 (46.998) Prec@5 79.375 (77.296) Epoch: [36][1150/11272] Time 0.848 (0.802) Data 0.002 (0.004) Loss 1.6385 (2.0718) Prec@1 52.500 (47.024) Prec@5 86.875 (77.322) Epoch: [36][1160/11272] Time 0.758 (0.802) Data 0.001 (0.004) Loss 1.9754 (2.0718) Prec@1 54.375 (47.031) Prec@5 77.500 (77.320) Epoch: [36][1170/11272] Time 0.774 (0.802) Data 0.002 (0.004) Loss 2.1279 (2.0715) Prec@1 44.375 (47.035) Prec@5 71.250 (77.327) Epoch: [36][1180/11272] Time 0.850 (0.802) Data 0.002 (0.004) Loss 2.0843 (2.0710) Prec@1 48.750 (47.044) Prec@5 72.500 (77.342) Epoch: [36][1190/11272] Time 0.878 (0.802) Data 0.002 (0.004) Loss 2.1693 (2.0714) Prec@1 46.250 (47.037) Prec@5 75.625 (77.338) Epoch: [36][1200/11272] Time 0.731 (0.802) Data 0.001 (0.003) Loss 2.1314 (2.0715) Prec@1 49.375 (47.043) Prec@5 75.000 (77.337) Epoch: [36][1210/11272] Time 0.795 (0.802) Data 0.002 (0.003) Loss 1.8391 (2.0713) Prec@1 50.000 (47.054) Prec@5 80.000 (77.330) Epoch: [36][1220/11272] Time 0.807 (0.802) Data 0.001 (0.003) Loss 2.0461 (2.0713) Prec@1 46.875 (47.051) Prec@5 75.625 (77.329) Epoch: [36][1230/11272] Time 0.832 (0.802) Data 0.002 (0.003) Loss 1.7641 (2.0715) Prec@1 53.750 (47.041) Prec@5 82.500 (77.324) Epoch: [36][1240/11272] Time 0.740 (0.801) Data 0.001 (0.003) Loss 2.1548 (2.0716) Prec@1 43.750 (47.043) Prec@5 75.625 (77.323) Epoch: [36][1250/11272] Time 0.840 (0.801) Data 0.002 (0.003) Loss 2.1807 (2.0712) Prec@1 43.750 (47.043) Prec@5 74.375 (77.330) Epoch: [36][1260/11272] Time 0.846 (0.801) Data 0.001 (0.003) Loss 2.3423 (2.0712) Prec@1 42.500 (47.043) Prec@5 71.250 (77.337) Epoch: [36][1270/11272] Time 0.742 (0.801) Data 0.002 (0.003) Loss 1.8943 (2.0712) Prec@1 52.500 (47.043) Prec@5 79.375 (77.334) Epoch: [36][1280/11272] Time 0.730 (0.801) Data 0.002 (0.003) Loss 2.2173 (2.0713) Prec@1 41.875 (47.037) Prec@5 75.000 (77.329) Epoch: [36][1290/11272] Time 0.864 (0.801) Data 0.002 (0.003) Loss 2.2631 (2.0714) Prec@1 41.875 (47.035) Prec@5 72.500 (77.332) Epoch: [36][1300/11272] Time 0.855 (0.801) Data 0.001 (0.003) Loss 2.2658 (2.0717) Prec@1 42.500 (47.018) Prec@5 75.625 (77.334) Epoch: [36][1310/11272] Time 0.749 (0.801) Data 0.001 (0.003) Loss 2.0303 (2.0717) Prec@1 43.125 (47.014) Prec@5 78.125 (77.330) Epoch: [36][1320/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.2248 (2.0717) Prec@1 44.375 (47.002) Prec@5 79.375 (77.339) Epoch: [36][1330/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 2.0997 (2.0717) Prec@1 45.000 (46.996) Prec@5 75.000 (77.329) Epoch: [36][1340/11272] Time 0.828 (0.801) Data 0.002 (0.003) Loss 2.0954 (2.0713) Prec@1 45.000 (47.002) Prec@5 70.625 (77.334) Epoch: [36][1350/11272] Time 0.757 (0.801) Data 0.002 (0.003) Loss 1.9269 (2.0714) Prec@1 51.250 (47.005) Prec@5 81.250 (77.329) Epoch: [36][1360/11272] Time 0.738 (0.801) Data 0.001 (0.003) Loss 2.1681 (2.0717) Prec@1 42.500 (47.001) Prec@5 71.250 (77.317) Epoch: [36][1370/11272] Time 0.820 (0.801) Data 0.002 (0.003) Loss 1.9732 (2.0714) Prec@1 47.500 (47.013) Prec@5 73.750 (77.315) Epoch: [36][1380/11272] Time 0.828 (0.801) Data 0.001 (0.003) Loss 1.9807 (2.0714) Prec@1 49.375 (47.022) Prec@5 78.750 (77.312) Epoch: [36][1390/11272] Time 0.729 (0.801) Data 0.001 (0.003) Loss 1.7943 (2.0711) Prec@1 53.125 (47.023) Prec@5 81.250 (77.319) Epoch: [36][1400/11272] Time 0.846 (0.801) Data 0.001 (0.003) Loss 2.0027 (2.0712) Prec@1 45.625 (47.021) Prec@5 78.750 (77.318) Epoch: [36][1410/11272] Time 0.852 (0.801) Data 0.001 (0.003) Loss 2.1259 (2.0714) Prec@1 41.875 (47.007) Prec@5 74.375 (77.312) Epoch: [36][1420/11272] Time 0.727 (0.801) Data 0.002 (0.003) Loss 2.2678 (2.0715) Prec@1 43.750 (47.016) Prec@5 72.500 (77.306) Epoch: [36][1430/11272] Time 0.735 (0.801) Data 0.002 (0.003) Loss 2.3191 (2.0715) Prec@1 40.000 (47.003) Prec@5 70.625 (77.310) Epoch: [36][1440/11272] Time 0.879 (0.801) Data 0.001 (0.003) Loss 1.8199 (2.0710) Prec@1 51.250 (47.008) Prec@5 82.500 (77.317) Epoch: [36][1450/11272] Time 0.845 (0.801) Data 0.002 (0.003) Loss 2.0305 (2.0704) Prec@1 41.875 (47.005) Prec@5 77.500 (77.323) Epoch: [36][1460/11272] Time 0.751 (0.801) Data 0.002 (0.003) Loss 2.1262 (2.0708) Prec@1 45.000 (46.992) Prec@5 74.375 (77.324) Epoch: [36][1470/11272] Time 0.746 (0.801) Data 0.002 (0.003) Loss 2.4092 (2.0710) Prec@1 40.000 (46.987) Prec@5 68.125 (77.319) Epoch: [36][1480/11272] Time 0.846 (0.801) Data 0.001 (0.003) Loss 2.2590 (2.0708) Prec@1 49.375 (46.989) Prec@5 69.375 (77.322) Epoch: [36][1490/11272] Time 0.861 (0.801) Data 0.002 (0.003) Loss 1.7993 (2.0710) Prec@1 50.625 (46.982) Prec@5 83.125 (77.318) Epoch: [36][1500/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 1.7129 (2.0709) Prec@1 58.750 (46.985) Prec@5 81.250 (77.327) Epoch: [36][1510/11272] Time 0.785 (0.801) Data 0.002 (0.003) Loss 2.1565 (2.0710) Prec@1 45.625 (46.973) Prec@5 75.000 (77.326) Epoch: [36][1520/11272] Time 0.846 (0.801) Data 0.002 (0.003) Loss 1.7609 (2.0705) Prec@1 50.625 (46.982) Prec@5 84.375 (77.344) Epoch: [36][1530/11272] Time 0.735 (0.801) Data 0.001 (0.003) Loss 2.0782 (2.0710) Prec@1 48.125 (46.977) Prec@5 76.250 (77.323) Epoch: [36][1540/11272] Time 0.765 (0.801) Data 0.001 (0.003) Loss 2.0577 (2.0713) Prec@1 48.750 (46.967) Prec@5 76.250 (77.315) Epoch: [36][1550/11272] Time 0.881 (0.801) Data 0.002 (0.003) Loss 2.1085 (2.0715) Prec@1 50.000 (46.970) Prec@5 76.875 (77.306) Epoch: [36][1560/11272] Time 0.827 (0.801) Data 0.002 (0.003) Loss 2.0945 (2.0714) Prec@1 47.500 (46.970) Prec@5 71.875 (77.306) Epoch: [36][1570/11272] Time 0.732 (0.801) Data 0.002 (0.003) Loss 1.8336 (2.0713) Prec@1 56.250 (46.970) Prec@5 83.125 (77.312) Epoch: [36][1580/11272] Time 0.764 (0.801) Data 0.002 (0.003) Loss 1.9710 (2.0713) Prec@1 48.125 (46.960) Prec@5 83.750 (77.312) Epoch: [36][1590/11272] Time 0.851 (0.801) Data 0.002 (0.003) Loss 2.1269 (2.0706) Prec@1 46.875 (46.970) Prec@5 76.875 (77.325) Epoch: [36][1600/11272] Time 0.861 (0.801) Data 0.002 (0.003) Loss 1.8211 (2.0710) Prec@1 56.250 (46.961) Prec@5 81.250 (77.314) Epoch: [36][1610/11272] Time 0.740 (0.801) Data 0.002 (0.003) Loss 2.3122 (2.0717) Prec@1 43.125 (46.946) Prec@5 68.750 (77.305) Epoch: [36][1620/11272] Time 0.753 (0.801) Data 0.002 (0.003) Loss 2.1444 (2.0723) Prec@1 43.125 (46.924) Prec@5 76.250 (77.291) Epoch: [36][1630/11272] Time 0.835 (0.801) Data 0.001 (0.003) Loss 2.1393 (2.0724) Prec@1 45.625 (46.920) Prec@5 77.500 (77.284) Epoch: [36][1640/11272] Time 0.840 (0.801) Data 0.002 (0.003) Loss 1.9556 (2.0723) Prec@1 53.750 (46.931) Prec@5 78.750 (77.273) Epoch: [36][1650/11272] Time 0.757 (0.801) Data 0.002 (0.003) Loss 1.7967 (2.0720) Prec@1 55.625 (46.942) Prec@5 81.250 (77.280) Epoch: [36][1660/11272] Time 0.829 (0.801) Data 0.002 (0.003) Loss 2.1062 (2.0720) Prec@1 49.375 (46.952) Prec@5 77.500 (77.278) Epoch: [36][1670/11272] Time 0.874 (0.801) Data 0.002 (0.003) Loss 2.2787 (2.0722) Prec@1 42.500 (46.954) Prec@5 73.750 (77.271) Epoch: [36][1680/11272] Time 0.722 (0.801) Data 0.001 (0.003) Loss 2.0531 (2.0721) Prec@1 46.875 (46.961) Prec@5 78.125 (77.278) Epoch: [36][1690/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.1580 (2.0720) Prec@1 45.000 (46.964) Prec@5 75.625 (77.285) Epoch: [36][1700/11272] Time 0.834 (0.801) Data 0.002 (0.003) Loss 1.9402 (2.0717) Prec@1 49.375 (46.966) Prec@5 81.250 (77.294) Epoch: [36][1710/11272] Time 0.827 (0.801) Data 0.001 (0.003) Loss 2.1250 (2.0722) Prec@1 42.500 (46.948) Prec@5 76.875 (77.286) Epoch: [36][1720/11272] Time 0.741 (0.801) Data 0.001 (0.003) Loss 2.2968 (2.0722) Prec@1 43.125 (46.949) Prec@5 73.750 (77.291) Epoch: [36][1730/11272] Time 0.755 (0.801) Data 0.001 (0.003) Loss 1.8587 (2.0720) Prec@1 47.500 (46.962) Prec@5 81.875 (77.291) Epoch: [36][1740/11272] Time 0.854 (0.801) Data 0.002 (0.003) Loss 2.2309 (2.0715) Prec@1 45.000 (46.974) Prec@5 71.875 (77.295) Epoch: [36][1750/11272] Time 0.870 (0.801) Data 0.001 (0.003) Loss 2.1326 (2.0712) Prec@1 39.375 (46.970) Prec@5 78.750 (77.300) Epoch: [36][1760/11272] Time 0.722 (0.801) Data 0.001 (0.003) Loss 2.1074 (2.0715) Prec@1 43.125 (46.960) Prec@5 78.125 (77.296) Epoch: [36][1770/11272] Time 0.751 (0.801) Data 0.002 (0.003) Loss 2.2148 (2.0717) Prec@1 45.000 (46.960) Prec@5 77.500 (77.289) Epoch: [36][1780/11272] Time 0.874 (0.801) Data 0.002 (0.003) Loss 2.0518 (2.0718) Prec@1 45.000 (46.956) Prec@5 78.750 (77.294) Epoch: [36][1790/11272] Time 0.731 (0.801) Data 0.003 (0.003) Loss 2.1878 (2.0716) Prec@1 46.250 (46.966) Prec@5 75.625 (77.294) Epoch: [36][1800/11272] Time 0.726 (0.801) Data 0.002 (0.003) Loss 2.2964 (2.0722) Prec@1 44.375 (46.957) Prec@5 75.000 (77.280) Epoch: [36][1810/11272] Time 0.847 (0.801) Data 0.001 (0.003) Loss 1.9114 (2.0721) Prec@1 51.250 (46.956) Prec@5 78.750 (77.287) Epoch: [36][1820/11272] Time 0.847 (0.801) Data 0.002 (0.003) Loss 1.9350 (2.0720) Prec@1 52.500 (46.953) Prec@5 79.375 (77.285) Epoch: [36][1830/11272] Time 0.728 (0.801) Data 0.001 (0.003) Loss 2.1070 (2.0722) Prec@1 45.625 (46.944) Prec@5 75.000 (77.279) Epoch: [36][1840/11272] Time 0.741 (0.801) Data 0.001 (0.003) Loss 1.9739 (2.0721) Prec@1 54.375 (46.952) Prec@5 77.500 (77.288) Epoch: [36][1850/11272] Time 0.840 (0.801) Data 0.002 (0.003) Loss 1.9471 (2.0723) Prec@1 53.125 (46.944) Prec@5 81.250 (77.295) Epoch: [36][1860/11272] Time 0.835 (0.801) Data 0.002 (0.003) Loss 2.1557 (2.0726) Prec@1 43.750 (46.937) Prec@5 76.250 (77.281) Epoch: [36][1870/11272] Time 0.752 (0.801) Data 0.002 (0.003) Loss 2.0020 (2.0724) Prec@1 48.750 (46.936) Prec@5 76.250 (77.283) Epoch: [36][1880/11272] Time 0.740 (0.801) Data 0.002 (0.003) Loss 1.8843 (2.0722) Prec@1 47.500 (46.945) Prec@5 82.500 (77.288) Epoch: [36][1890/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 2.0645 (2.0723) Prec@1 48.125 (46.938) Prec@5 78.750 (77.288) Epoch: [36][1900/11272] Time 0.853 (0.801) Data 0.002 (0.003) Loss 2.1101 (2.0720) Prec@1 44.375 (46.944) Prec@5 77.500 (77.295) Epoch: [36][1910/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 2.1760 (2.0721) Prec@1 46.250 (46.942) Prec@5 76.875 (77.293) Epoch: [36][1920/11272] Time 0.806 (0.801) Data 0.001 (0.003) Loss 2.0329 (2.0720) Prec@1 49.375 (46.946) Prec@5 74.375 (77.292) Epoch: [36][1930/11272] Time 0.864 (0.801) Data 0.002 (0.003) Loss 2.0628 (2.0719) Prec@1 44.375 (46.952) Prec@5 78.125 (77.294) Epoch: [36][1940/11272] Time 0.794 (0.801) Data 0.002 (0.003) Loss 1.9640 (2.0719) Prec@1 51.250 (46.964) Prec@5 78.750 (77.293) Epoch: [36][1950/11272] Time 0.748 (0.801) Data 0.002 (0.003) Loss 2.1618 (2.0722) Prec@1 48.750 (46.957) Prec@5 76.875 (77.288) Epoch: [36][1960/11272] Time 0.887 (0.801) Data 0.002 (0.003) Loss 2.1984 (2.0721) Prec@1 38.125 (46.960) Prec@5 75.000 (77.287) Epoch: [36][1970/11272] Time 0.851 (0.801) Data 0.002 (0.003) Loss 2.0814 (2.0720) Prec@1 47.500 (46.959) Prec@5 74.375 (77.286) Epoch: [36][1980/11272] Time 0.734 (0.801) Data 0.002 (0.003) Loss 1.8983 (2.0719) Prec@1 50.000 (46.957) Prec@5 83.750 (77.292) Epoch: [36][1990/11272] Time 0.734 (0.801) Data 0.002 (0.003) Loss 2.0579 (2.0720) Prec@1 49.375 (46.954) Prec@5 79.375 (77.298) Epoch: [36][2000/11272] Time 0.859 (0.801) Data 0.001 (0.003) Loss 2.0818 (2.0722) Prec@1 47.500 (46.950) Prec@5 78.750 (77.295) Epoch: [36][2010/11272] Time 0.828 (0.801) Data 0.002 (0.003) Loss 2.3648 (2.0725) Prec@1 39.375 (46.947) Prec@5 71.875 (77.291) Epoch: [36][2020/11272] Time 0.727 (0.801) Data 0.002 (0.003) Loss 2.3261 (2.0726) Prec@1 40.000 (46.945) Prec@5 75.000 (77.288) Epoch: [36][2030/11272] Time 0.738 (0.801) Data 0.002 (0.003) Loss 2.0967 (2.0730) Prec@1 46.875 (46.937) Prec@5 75.625 (77.276) Epoch: [36][2040/11272] Time 0.879 (0.801) Data 0.002 (0.003) Loss 1.7532 (2.0728) Prec@1 55.000 (46.942) Prec@5 81.875 (77.283) Epoch: [36][2050/11272] Time 0.736 (0.801) Data 0.004 (0.003) Loss 1.9906 (2.0727) Prec@1 48.125 (46.940) Prec@5 83.125 (77.286) Epoch: [36][2060/11272] Time 0.724 (0.801) Data 0.002 (0.003) Loss 2.0953 (2.0723) Prec@1 43.750 (46.944) Prec@5 73.750 (77.294) Epoch: [36][2070/11272] Time 0.885 (0.801) Data 0.001 (0.003) Loss 2.2855 (2.0723) Prec@1 43.125 (46.947) Prec@5 75.625 (77.291) Epoch: [36][2080/11272] Time 0.863 (0.801) Data 0.002 (0.003) Loss 2.1315 (2.0721) Prec@1 47.500 (46.959) Prec@5 71.250 (77.298) Epoch: [36][2090/11272] Time 0.741 (0.801) Data 0.002 (0.003) Loss 2.1808 (2.0720) Prec@1 43.750 (46.962) Prec@5 73.750 (77.299) Epoch: [36][2100/11272] Time 0.749 (0.801) Data 0.002 (0.003) Loss 2.0290 (2.0720) Prec@1 47.500 (46.960) Prec@5 76.250 (77.302) Epoch: [36][2110/11272] Time 0.867 (0.801) Data 0.001 (0.003) Loss 1.8726 (2.0720) Prec@1 50.625 (46.962) Prec@5 77.500 (77.299) Epoch: [36][2120/11272] Time 0.832 (0.801) Data 0.001 (0.003) Loss 2.2200 (2.0725) Prec@1 47.500 (46.959) Prec@5 73.125 (77.288) Epoch: [36][2130/11272] Time 0.738 (0.801) Data 0.002 (0.003) Loss 1.9849 (2.0725) Prec@1 51.250 (46.958) Prec@5 78.125 (77.282) Epoch: [36][2140/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 2.1156 (2.0724) Prec@1 44.375 (46.967) Prec@5 75.000 (77.282) Epoch: [36][2150/11272] Time 0.826 (0.801) Data 0.001 (0.003) Loss 2.2242 (2.0725) Prec@1 43.750 (46.959) Prec@5 72.500 (77.275) Epoch: [36][2160/11272] Time 0.892 (0.801) Data 0.002 (0.003) Loss 2.1423 (2.0725) Prec@1 46.250 (46.963) Prec@5 77.500 (77.277) Epoch: [36][2170/11272] Time 0.722 (0.801) Data 0.001 (0.003) Loss 1.9462 (2.0723) Prec@1 54.375 (46.965) Prec@5 74.375 (77.275) Epoch: [36][2180/11272] Time 0.873 (0.801) Data 0.002 (0.003) Loss 2.1957 (2.0727) Prec@1 41.250 (46.956) Prec@5 78.125 (77.271) Epoch: [36][2190/11272] Time 0.836 (0.801) Data 0.002 (0.003) Loss 2.1966 (2.0729) Prec@1 47.500 (46.950) Prec@5 73.125 (77.267) Epoch: [36][2200/11272] Time 0.727 (0.801) Data 0.001 (0.003) Loss 2.0311 (2.0731) Prec@1 48.125 (46.949) Prec@5 78.750 (77.268) Epoch: [36][2210/11272] Time 0.740 (0.801) Data 0.002 (0.003) Loss 2.2922 (2.0734) Prec@1 43.750 (46.948) Prec@5 70.000 (77.265) Epoch: [36][2220/11272] Time 0.842 (0.801) Data 0.001 (0.003) Loss 1.8523 (2.0735) Prec@1 53.750 (46.939) Prec@5 80.000 (77.263) Epoch: [36][2230/11272] Time 0.903 (0.801) Data 0.002 (0.003) Loss 2.0663 (2.0734) Prec@1 45.625 (46.940) Prec@5 78.125 (77.266) Epoch: [36][2240/11272] Time 0.744 (0.801) Data 0.002 (0.003) Loss 2.0502 (2.0734) Prec@1 47.500 (46.934) Prec@5 78.125 (77.263) Epoch: [36][2250/11272] Time 0.760 (0.801) Data 0.002 (0.003) Loss 2.3324 (2.0734) Prec@1 42.500 (46.931) Prec@5 68.750 (77.265) Epoch: [36][2260/11272] Time 0.824 (0.801) Data 0.001 (0.003) Loss 2.0808 (2.0733) Prec@1 46.875 (46.934) Prec@5 77.500 (77.267) Epoch: [36][2270/11272] Time 0.836 (0.801) Data 0.002 (0.003) Loss 1.9048 (2.0735) Prec@1 54.375 (46.934) Prec@5 77.500 (77.263) Epoch: [36][2280/11272] Time 0.767 (0.801) Data 0.002 (0.003) Loss 2.0209 (2.0735) Prec@1 48.125 (46.936) Prec@5 78.125 (77.261) Epoch: [36][2290/11272] Time 0.713 (0.801) Data 0.001 (0.003) Loss 2.3852 (2.0733) Prec@1 35.625 (46.941) Prec@5 71.250 (77.263) Epoch: [36][2300/11272] Time 0.876 (0.801) Data 0.002 (0.003) Loss 2.2288 (2.0732) Prec@1 48.125 (46.937) Prec@5 76.250 (77.266) Epoch: [36][2310/11272] Time 0.861 (0.801) Data 0.002 (0.003) Loss 1.9448 (2.0735) Prec@1 47.500 (46.927) Prec@5 83.125 (77.259) Epoch: [36][2320/11272] Time 0.758 (0.801) Data 0.002 (0.003) Loss 1.9936 (2.0734) Prec@1 48.750 (46.931) Prec@5 79.375 (77.259) Epoch: [36][2330/11272] Time 0.850 (0.801) Data 0.002 (0.003) Loss 1.9943 (2.0735) Prec@1 43.125 (46.933) Prec@5 80.000 (77.254) Epoch: [36][2340/11272] Time 0.891 (0.801) Data 0.002 (0.003) Loss 1.7931 (2.0734) Prec@1 52.500 (46.931) Prec@5 83.750 (77.257) Epoch: [36][2350/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 2.3297 (2.0735) Prec@1 38.750 (46.936) Prec@5 70.000 (77.252) Epoch: [36][2360/11272] Time 0.764 (0.801) Data 0.002 (0.003) Loss 2.1356 (2.0738) Prec@1 49.375 (46.934) Prec@5 75.000 (77.247) Epoch: [36][2370/11272] Time 0.844 (0.801) Data 0.001 (0.003) Loss 1.8667 (2.0738) Prec@1 56.250 (46.939) Prec@5 79.375 (77.249) Epoch: [36][2380/11272] Time 0.822 (0.801) Data 0.002 (0.003) Loss 1.9233 (2.0736) Prec@1 52.500 (46.940) Prec@5 78.750 (77.247) Epoch: [36][2390/11272] Time 0.745 (0.801) Data 0.001 (0.003) Loss 2.1261 (2.0737) Prec@1 47.500 (46.931) Prec@5 75.000 (77.245) Epoch: [36][2400/11272] Time 0.744 (0.801) Data 0.002 (0.003) Loss 1.9643 (2.0736) Prec@1 55.000 (46.933) Prec@5 78.750 (77.245) Epoch: [36][2410/11272] Time 0.834 (0.801) Data 0.001 (0.003) Loss 2.1518 (2.0738) Prec@1 43.125 (46.919) Prec@5 77.500 (77.244) Epoch: [36][2420/11272] Time 0.842 (0.801) Data 0.002 (0.003) Loss 1.9656 (2.0735) Prec@1 48.125 (46.927) Prec@5 80.000 (77.244) Epoch: [36][2430/11272] Time 0.756 (0.801) Data 0.002 (0.003) Loss 1.9929 (2.0733) Prec@1 50.000 (46.931) Prec@5 76.875 (77.246) Epoch: [36][2440/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 2.1257 (2.0736) Prec@1 46.250 (46.923) Prec@5 80.000 (77.243) Epoch: [36][2450/11272] Time 0.836 (0.801) Data 0.002 (0.003) Loss 2.0980 (2.0738) Prec@1 45.000 (46.921) Prec@5 81.875 (77.244) Epoch: [36][2460/11272] Time 0.770 (0.801) Data 0.001 (0.003) Loss 2.0672 (2.0738) Prec@1 46.875 (46.919) Prec@5 76.875 (77.247) Epoch: [36][2470/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 1.9711 (2.0737) Prec@1 50.625 (46.920) Prec@5 76.250 (77.249) Epoch: [36][2480/11272] Time 0.885 (0.801) Data 0.001 (0.003) Loss 1.9964 (2.0733) Prec@1 51.875 (46.929) Prec@5 80.625 (77.255) Epoch: [36][2490/11272] Time 0.856 (0.801) Data 0.002 (0.003) Loss 2.0874 (2.0734) Prec@1 38.125 (46.929) Prec@5 77.500 (77.254) Epoch: [36][2500/11272] Time 0.759 (0.801) Data 0.002 (0.003) Loss 1.9232 (2.0735) Prec@1 47.500 (46.923) Prec@5 78.125 (77.252) Epoch: [36][2510/11272] Time 0.745 (0.801) Data 0.002 (0.003) Loss 2.3505 (2.0738) Prec@1 43.125 (46.914) Prec@5 70.625 (77.247) Epoch: [36][2520/11272] Time 0.878 (0.801) Data 0.002 (0.003) Loss 2.2457 (2.0740) Prec@1 46.875 (46.911) Prec@5 71.250 (77.240) Epoch: [36][2530/11272] Time 0.821 (0.801) Data 0.002 (0.003) Loss 1.9879 (2.0740) Prec@1 52.500 (46.912) Prec@5 77.500 (77.238) Epoch: [36][2540/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 1.9820 (2.0739) Prec@1 48.750 (46.915) Prec@5 76.875 (77.241) Epoch: [36][2550/11272] Time 0.723 (0.801) Data 0.002 (0.003) Loss 2.1629 (2.0741) Prec@1 43.750 (46.912) Prec@5 76.250 (77.238) Epoch: [36][2560/11272] Time 0.829 (0.801) Data 0.001 (0.003) Loss 2.1403 (2.0744) Prec@1 42.500 (46.907) Prec@5 73.125 (77.229) Epoch: [36][2570/11272] Time 0.877 (0.801) Data 0.001 (0.003) Loss 2.0276 (2.0741) Prec@1 47.500 (46.915) Prec@5 78.125 (77.235) Epoch: [36][2580/11272] Time 0.758 (0.801) Data 0.002 (0.003) Loss 1.9548 (2.0739) Prec@1 46.875 (46.921) Prec@5 83.750 (77.240) Epoch: [36][2590/11272] Time 0.872 (0.801) Data 0.001 (0.003) Loss 2.0507 (2.0740) Prec@1 49.375 (46.924) Prec@5 75.000 (77.236) Epoch: [36][2600/11272] Time 0.833 (0.801) Data 0.002 (0.003) Loss 2.2414 (2.0741) Prec@1 43.750 (46.922) Prec@5 75.625 (77.236) Epoch: [36][2610/11272] Time 0.755 (0.801) Data 0.001 (0.003) Loss 2.1623 (2.0739) Prec@1 42.500 (46.922) Prec@5 78.750 (77.239) Epoch: [36][2620/11272] Time 0.729 (0.801) Data 0.001 (0.002) Loss 1.9862 (2.0741) Prec@1 47.500 (46.915) Prec@5 80.625 (77.237) Epoch: [36][2630/11272] Time 0.870 (0.801) Data 0.001 (0.002) Loss 2.0430 (2.0741) Prec@1 46.875 (46.913) Prec@5 75.625 (77.235) Epoch: [36][2640/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 2.2490 (2.0745) Prec@1 41.250 (46.904) Prec@5 75.625 (77.227) Epoch: [36][2650/11272] Time 0.771 (0.801) Data 0.002 (0.002) Loss 1.9882 (2.0743) Prec@1 46.250 (46.905) Prec@5 81.250 (77.230) Epoch: [36][2660/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 2.3495 (2.0747) Prec@1 35.000 (46.899) Prec@5 71.250 (77.225) Epoch: [36][2670/11272] Time 0.867 (0.801) Data 0.001 (0.002) Loss 1.9750 (2.0747) Prec@1 48.750 (46.899) Prec@5 77.500 (77.226) Epoch: [36][2680/11272] Time 0.870 (0.801) Data 0.002 (0.002) Loss 1.9744 (2.0748) Prec@1 47.500 (46.895) Prec@5 78.750 (77.226) Epoch: [36][2690/11272] Time 0.723 (0.801) Data 0.001 (0.002) Loss 2.2178 (2.0749) Prec@1 46.875 (46.893) Prec@5 73.125 (77.222) Epoch: [36][2700/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 1.8986 (2.0748) Prec@1 57.500 (46.895) Prec@5 78.750 (77.227) Epoch: [36][2710/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 2.2678 (2.0748) Prec@1 41.875 (46.895) Prec@5 76.875 (77.228) Epoch: [36][2720/11272] Time 0.746 (0.801) Data 0.001 (0.002) Loss 1.9121 (2.0748) Prec@1 51.875 (46.893) Prec@5 75.000 (77.230) Epoch: [36][2730/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 2.0115 (2.0748) Prec@1 43.125 (46.894) Prec@5 84.375 (77.229) Epoch: [36][2740/11272] Time 0.843 (0.801) Data 0.002 (0.002) Loss 2.0559 (2.0747) Prec@1 46.875 (46.890) Prec@5 78.125 (77.235) Epoch: [36][2750/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 2.1464 (2.0748) Prec@1 49.375 (46.883) Prec@5 71.875 (77.232) Epoch: [36][2760/11272] Time 0.751 (0.801) Data 0.002 (0.002) Loss 1.9712 (2.0749) Prec@1 49.375 (46.879) Prec@5 80.000 (77.232) Epoch: [36][2770/11272] Time 0.725 (0.801) Data 0.001 (0.002) Loss 1.8564 (2.0747) Prec@1 55.625 (46.882) Prec@5 81.250 (77.235) Epoch: [36][2780/11272] Time 0.811 (0.801) Data 0.001 (0.002) Loss 2.0490 (2.0745) Prec@1 50.625 (46.888) Prec@5 76.875 (77.238) Epoch: [36][2790/11272] Time 0.844 (0.801) Data 0.002 (0.002) Loss 2.2357 (2.0747) Prec@1 45.000 (46.887) Prec@5 73.125 (77.236) Epoch: [36][2800/11272] Time 0.758 (0.801) Data 0.002 (0.002) Loss 2.1728 (2.0748) Prec@1 46.875 (46.882) Prec@5 78.125 (77.232) Epoch: [36][2810/11272] Time 0.698 (0.801) Data 0.001 (0.002) Loss 1.9888 (2.0750) Prec@1 46.875 (46.874) Prec@5 78.125 (77.231) Epoch: [36][2820/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 1.9752 (2.0750) Prec@1 48.125 (46.877) Prec@5 77.500 (77.231) Epoch: [36][2830/11272] Time 0.845 (0.801) Data 0.002 (0.002) Loss 2.2012 (2.0751) Prec@1 43.750 (46.874) Prec@5 71.250 (77.231) Epoch: [36][2840/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 2.0945 (2.0753) Prec@1 45.625 (46.873) Prec@5 78.125 (77.226) Epoch: [36][2850/11272] Time 0.870 (0.801) Data 0.002 (0.002) Loss 1.9623 (2.0754) Prec@1 49.375 (46.868) Prec@5 80.625 (77.228) Epoch: [36][2860/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 2.2176 (2.0754) Prec@1 46.250 (46.867) Prec@5 75.000 (77.229) Epoch: [36][2870/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.1620 (2.0752) Prec@1 41.875 (46.869) Prec@5 78.750 (77.236) Epoch: [36][2880/11272] Time 0.759 (0.801) Data 0.002 (0.002) Loss 2.0835 (2.0754) Prec@1 46.875 (46.869) Prec@5 81.250 (77.235) Epoch: [36][2890/11272] Time 0.896 (0.801) Data 0.002 (0.002) Loss 2.1194 (2.0752) Prec@1 41.250 (46.870) Prec@5 80.000 (77.241) Epoch: [36][2900/11272] Time 0.886 (0.801) Data 0.002 (0.002) Loss 1.9280 (2.0754) Prec@1 49.375 (46.869) Prec@5 80.625 (77.238) Epoch: [36][2910/11272] Time 0.762 (0.801) Data 0.002 (0.002) Loss 2.0150 (2.0753) Prec@1 50.625 (46.872) Prec@5 80.000 (77.237) Epoch: [36][2920/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.2368 (2.0755) Prec@1 40.000 (46.863) Prec@5 77.500 (77.234) Epoch: [36][2930/11272] Time 0.861 (0.801) Data 0.001 (0.002) Loss 2.1368 (2.0756) Prec@1 45.000 (46.862) Prec@5 78.750 (77.234) Epoch: [36][2940/11272] Time 0.817 (0.801) Data 0.002 (0.002) Loss 1.9705 (2.0756) Prec@1 47.500 (46.861) Prec@5 75.625 (77.237) Epoch: [36][2950/11272] Time 0.731 (0.801) Data 0.001 (0.002) Loss 1.9980 (2.0754) Prec@1 46.250 (46.864) Prec@5 81.875 (77.238) Epoch: [36][2960/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 2.2357 (2.0755) Prec@1 43.125 (46.859) Prec@5 76.875 (77.237) Epoch: [36][2970/11272] Time 0.895 (0.801) Data 0.002 (0.002) Loss 2.2482 (2.0758) Prec@1 41.250 (46.852) Prec@5 73.750 (77.236) Epoch: [36][2980/11272] Time 0.726 (0.801) Data 0.003 (0.002) Loss 2.2476 (2.0761) Prec@1 41.250 (46.851) Prec@5 75.625 (77.231) Epoch: [36][2990/11272] Time 0.754 (0.801) Data 0.001 (0.002) Loss 2.1042 (2.0761) Prec@1 47.500 (46.851) Prec@5 77.500 (77.231) Epoch: [36][3000/11272] Time 0.830 (0.801) Data 0.001 (0.002) Loss 2.2919 (2.0763) Prec@1 41.875 (46.847) Prec@5 73.750 (77.227) Epoch: [36][3010/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 1.9017 (2.0762) Prec@1 48.125 (46.846) Prec@5 78.750 (77.229) Epoch: [36][3020/11272] Time 0.787 (0.801) Data 0.002 (0.002) Loss 2.1849 (2.0761) Prec@1 43.125 (46.841) Prec@5 76.250 (77.230) Epoch: [36][3030/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 2.0243 (2.0761) Prec@1 41.875 (46.842) Prec@5 76.875 (77.229) Epoch: [36][3040/11272] Time 0.891 (0.801) Data 0.002 (0.002) Loss 1.8740 (2.0759) Prec@1 48.750 (46.847) Prec@5 78.125 (77.231) Epoch: [36][3050/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.1224 (2.0761) Prec@1 42.500 (46.840) Prec@5 71.875 (77.228) Epoch: [36][3060/11272] Time 0.751 (0.801) Data 0.002 (0.002) Loss 2.2931 (2.0761) Prec@1 41.250 (46.832) Prec@5 74.375 (77.229) Epoch: [36][3070/11272] Time 0.764 (0.801) Data 0.002 (0.002) Loss 2.2556 (2.0762) Prec@1 44.375 (46.830) Prec@5 73.125 (77.227) Epoch: [36][3080/11272] Time 0.812 (0.801) Data 0.002 (0.002) Loss 2.1073 (2.0761) Prec@1 50.000 (46.835) Prec@5 77.500 (77.230) Epoch: [36][3090/11272] Time 0.933 (0.801) Data 0.002 (0.002) Loss 2.2375 (2.0764) Prec@1 41.250 (46.825) Prec@5 70.000 (77.225) Epoch: [36][3100/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.1567 (2.0768) Prec@1 45.000 (46.815) Prec@5 76.875 (77.220) Epoch: [36][3110/11272] Time 0.885 (0.801) Data 0.002 (0.002) Loss 2.1360 (2.0766) Prec@1 42.500 (46.814) Prec@5 80.000 (77.227) Epoch: [36][3120/11272] Time 0.838 (0.801) Data 0.003 (0.002) Loss 1.8492 (2.0765) Prec@1 48.125 (46.817) Prec@5 80.625 (77.227) Epoch: [36][3130/11272] Time 0.729 (0.801) Data 0.001 (0.002) Loss 2.0546 (2.0765) Prec@1 46.875 (46.813) Prec@5 80.000 (77.229) Epoch: [36][3140/11272] Time 0.741 (0.801) Data 0.002 (0.002) Loss 2.1580 (2.0767) Prec@1 48.125 (46.811) Prec@5 80.000 (77.229) Epoch: [36][3150/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 2.1848 (2.0767) Prec@1 45.000 (46.813) Prec@5 76.875 (77.227) Epoch: [36][3160/11272] Time 0.854 (0.801) Data 0.001 (0.002) Loss 2.1277 (2.0765) Prec@1 46.875 (46.817) Prec@5 72.500 (77.229) Epoch: [36][3170/11272] Time 0.775 (0.801) Data 0.002 (0.002) Loss 2.1771 (2.0767) Prec@1 43.750 (46.809) Prec@5 78.125 (77.224) Epoch: [36][3180/11272] Time 0.759 (0.801) Data 0.002 (0.002) Loss 2.1952 (2.0767) Prec@1 45.625 (46.810) Prec@5 78.125 (77.225) Epoch: [36][3190/11272] Time 0.831 (0.801) Data 0.001 (0.002) Loss 2.1879 (2.0768) Prec@1 45.000 (46.811) Prec@5 77.500 (77.225) Epoch: [36][3200/11272] Time 0.873 (0.801) Data 0.003 (0.002) Loss 1.9758 (2.0766) Prec@1 50.625 (46.814) Prec@5 78.750 (77.229) Epoch: [36][3210/11272] Time 0.754 (0.801) Data 0.002 (0.002) Loss 2.0439 (2.0767) Prec@1 49.375 (46.811) Prec@5 73.125 (77.227) Epoch: [36][3220/11272] Time 0.767 (0.801) Data 0.002 (0.002) Loss 2.3303 (2.0768) Prec@1 40.000 (46.807) Prec@5 73.125 (77.228) Epoch: [36][3230/11272] Time 0.861 (0.801) Data 0.002 (0.002) Loss 2.1437 (2.0770) Prec@1 45.000 (46.804) Prec@5 75.000 (77.226) Epoch: [36][3240/11272] Time 0.828 (0.801) Data 0.002 (0.002) Loss 1.9012 (2.0768) Prec@1 49.375 (46.804) Prec@5 75.625 (77.231) Epoch: [36][3250/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 2.0119 (2.0772) Prec@1 45.000 (46.789) Prec@5 73.750 (77.227) Epoch: [36][3260/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 2.3926 (2.0773) Prec@1 39.375 (46.789) Prec@5 68.125 (77.226) Epoch: [36][3270/11272] Time 0.873 (0.801) Data 0.002 (0.002) Loss 1.9456 (2.0773) Prec@1 43.125 (46.785) Prec@5 76.875 (77.224) Epoch: [36][3280/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 2.2964 (2.0774) Prec@1 46.250 (46.785) Prec@5 71.250 (77.217) Epoch: [36][3290/11272] Time 0.759 (0.801) Data 0.002 (0.002) Loss 1.9239 (2.0771) Prec@1 49.375 (46.795) Prec@5 78.125 (77.223) Epoch: [36][3300/11272] Time 0.848 (0.801) Data 0.001 (0.002) Loss 2.1818 (2.0773) Prec@1 43.125 (46.790) Prec@5 76.250 (77.220) Epoch: [36][3310/11272] Time 0.831 (0.801) Data 0.002 (0.002) Loss 1.9042 (2.0773) Prec@1 51.875 (46.789) Prec@5 79.375 (77.224) Epoch: [36][3320/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 2.0282 (2.0772) Prec@1 48.125 (46.790) Prec@5 79.375 (77.224) Epoch: [36][3330/11272] Time 0.741 (0.801) Data 0.001 (0.002) Loss 2.0821 (2.0773) Prec@1 45.625 (46.786) Prec@5 76.250 (77.223) Epoch: [36][3340/11272] Time 0.837 (0.801) Data 0.002 (0.002) Loss 1.9374 (2.0774) Prec@1 50.625 (46.790) Prec@5 79.375 (77.225) Epoch: [36][3350/11272] Time 0.832 (0.801) Data 0.002 (0.002) Loss 1.9794 (2.0775) Prec@1 45.625 (46.786) Prec@5 78.125 (77.225) Epoch: [36][3360/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 1.9799 (2.0777) Prec@1 49.375 (46.780) Prec@5 81.250 (77.223) Epoch: [36][3370/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.1834 (2.0780) Prec@1 41.875 (46.776) Prec@5 74.375 (77.218) Epoch: [36][3380/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 1.8206 (2.0778) Prec@1 54.375 (46.780) Prec@5 83.750 (77.223) Epoch: [36][3390/11272] Time 0.721 (0.801) Data 0.001 (0.002) Loss 2.0956 (2.0780) Prec@1 45.625 (46.778) Prec@5 78.750 (77.219) Epoch: [36][3400/11272] Time 0.768 (0.801) Data 0.001 (0.002) Loss 2.0108 (2.0780) Prec@1 48.125 (46.780) Prec@5 77.500 (77.218) Epoch: [36][3410/11272] Time 0.830 (0.801) Data 0.002 (0.002) Loss 2.5917 (2.0783) Prec@1 35.625 (46.776) Prec@5 67.500 (77.216) Epoch: [36][3420/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 1.9427 (2.0782) Prec@1 52.500 (46.773) Prec@5 82.500 (77.219) Epoch: [36][3430/11272] Time 0.731 (0.801) Data 0.001 (0.002) Loss 2.0761 (2.0784) Prec@1 49.375 (46.769) Prec@5 75.625 (77.215) Epoch: [36][3440/11272] Time 0.711 (0.801) Data 0.001 (0.002) Loss 2.0938 (2.0784) Prec@1 43.125 (46.768) Prec@5 79.375 (77.216) Epoch: [36][3450/11272] Time 0.884 (0.801) Data 0.002 (0.002) Loss 2.2279 (2.0784) Prec@1 43.750 (46.762) Prec@5 73.125 (77.217) Epoch: [36][3460/11272] Time 0.830 (0.801) Data 0.002 (0.002) Loss 2.3905 (2.0785) Prec@1 40.625 (46.757) Prec@5 71.250 (77.211) Epoch: [36][3470/11272] Time 0.745 (0.801) Data 0.002 (0.002) Loss 2.3208 (2.0787) Prec@1 38.125 (46.755) Prec@5 76.250 (77.207) Epoch: [36][3480/11272] Time 0.722 (0.801) Data 0.002 (0.002) Loss 2.0232 (2.0786) Prec@1 46.250 (46.758) Prec@5 76.250 (77.210) Epoch: [36][3490/11272] Time 0.794 (0.801) Data 0.001 (0.002) Loss 1.9650 (2.0786) Prec@1 47.500 (46.759) Prec@5 78.125 (77.210) Epoch: [36][3500/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 2.1804 (2.0785) Prec@1 42.500 (46.761) Prec@5 74.375 (77.210) Epoch: [36][3510/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 2.0491 (2.0786) Prec@1 48.750 (46.763) Prec@5 78.125 (77.212) Epoch: [36][3520/11272] Time 0.906 (0.801) Data 0.001 (0.002) Loss 1.9277 (2.0787) Prec@1 49.375 (46.760) Prec@5 78.750 (77.211) Epoch: [36][3530/11272] Time 0.892 (0.801) Data 0.002 (0.002) Loss 2.1451 (2.0787) Prec@1 46.250 (46.756) Prec@5 77.500 (77.208) Epoch: [36][3540/11272] Time 0.772 (0.801) Data 0.002 (0.002) Loss 1.9769 (2.0789) Prec@1 45.000 (46.750) Prec@5 76.250 (77.204) Epoch: [36][3550/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 2.2956 (2.0790) Prec@1 38.125 (46.746) Prec@5 76.875 (77.203) Epoch: [36][3560/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.2041 (2.0789) Prec@1 47.500 (46.748) Prec@5 74.375 (77.204) Epoch: [36][3570/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 2.1772 (2.0789) Prec@1 40.000 (46.748) Prec@5 79.375 (77.205) Epoch: [36][3580/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.0881 (2.0792) Prec@1 50.625 (46.744) Prec@5 75.625 (77.203) Epoch: [36][3590/11272] Time 0.752 (0.801) Data 0.002 (0.002) Loss 1.7559 (2.0790) Prec@1 51.875 (46.745) Prec@5 80.000 (77.206) Epoch: [36][3600/11272] Time 0.853 (0.801) Data 0.002 (0.002) Loss 1.8400 (2.0790) Prec@1 50.000 (46.744) Prec@5 81.250 (77.204) Epoch: [36][3610/11272] Time 0.879 (0.801) Data 0.002 (0.002) Loss 2.2064 (2.0791) Prec@1 48.750 (46.743) Prec@5 74.375 (77.202) Epoch: [36][3620/11272] Time 0.724 (0.801) Data 0.002 (0.002) Loss 2.0027 (2.0791) Prec@1 46.875 (46.745) Prec@5 78.125 (77.203) Epoch: [36][3630/11272] Time 0.750 (0.801) Data 0.002 (0.002) Loss 2.3033 (2.0794) Prec@1 43.125 (46.739) Prec@5 74.375 (77.197) Epoch: [36][3640/11272] Time 0.834 (0.801) Data 0.001 (0.002) Loss 2.3020 (2.0791) Prec@1 41.875 (46.745) Prec@5 72.500 (77.199) Epoch: [36][3650/11272] Time 0.729 (0.801) Data 0.004 (0.002) Loss 1.8807 (2.0792) Prec@1 48.125 (46.743) Prec@5 83.125 (77.199) Epoch: [36][3660/11272] Time 0.763 (0.801) Data 0.002 (0.002) Loss 2.3809 (2.0792) Prec@1 42.500 (46.742) Prec@5 73.125 (77.202) Epoch: [36][3670/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.1489 (2.0792) Prec@1 45.625 (46.743) Prec@5 76.250 (77.199) Epoch: [36][3680/11272] Time 0.884 (0.801) Data 0.002 (0.002) Loss 1.9682 (2.0793) Prec@1 51.250 (46.745) Prec@5 80.000 (77.200) Epoch: [36][3690/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 2.0018 (2.0793) Prec@1 49.375 (46.742) Prec@5 78.125 (77.201) Epoch: [36][3700/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 2.2610 (2.0794) Prec@1 41.250 (46.739) Prec@5 75.625 (77.199) Epoch: [36][3710/11272] Time 0.914 (0.801) Data 0.002 (0.002) Loss 2.3684 (2.0795) Prec@1 44.375 (46.739) Prec@5 73.750 (77.198) Epoch: [36][3720/11272] Time 0.842 (0.801) Data 0.002 (0.002) Loss 2.1187 (2.0795) Prec@1 46.875 (46.739) Prec@5 78.125 (77.199) Epoch: [36][3730/11272] Time 0.763 (0.801) Data 0.002 (0.002) Loss 2.1327 (2.0795) Prec@1 48.125 (46.737) Prec@5 73.750 (77.194) Epoch: [36][3740/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.0131 (2.0796) Prec@1 45.625 (46.734) Prec@5 73.750 (77.193) Epoch: [36][3750/11272] Time 0.894 (0.801) Data 0.002 (0.002) Loss 2.1539 (2.0796) Prec@1 44.375 (46.733) Prec@5 76.250 (77.193) Epoch: [36][3760/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 1.8228 (2.0796) Prec@1 54.375 (46.737) Prec@5 78.750 (77.192) Epoch: [36][3770/11272] Time 0.777 (0.801) Data 0.002 (0.002) Loss 1.9670 (2.0797) Prec@1 50.625 (46.736) Prec@5 79.375 (77.192) Epoch: [36][3780/11272] Time 0.871 (0.801) Data 0.002 (0.002) Loss 1.9717 (2.0796) Prec@1 48.750 (46.737) Prec@5 80.000 (77.195) Epoch: [36][3790/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 2.1103 (2.0797) Prec@1 45.000 (46.731) Prec@5 75.625 (77.193) Epoch: [36][3800/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 2.0678 (2.0797) Prec@1 47.500 (46.732) Prec@5 75.625 (77.194) Epoch: [36][3810/11272] Time 0.755 (0.801) Data 0.002 (0.002) Loss 2.3818 (2.0799) Prec@1 38.750 (46.731) Prec@5 75.000 (77.192) Epoch: [36][3820/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.0504 (2.0802) Prec@1 50.000 (46.729) Prec@5 76.875 (77.190) Epoch: [36][3830/11272] Time 0.844 (0.801) Data 0.001 (0.002) Loss 2.2631 (2.0801) Prec@1 40.625 (46.728) Prec@5 76.250 (77.192) Epoch: [36][3840/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 2.0462 (2.0801) Prec@1 45.625 (46.727) Prec@5 75.000 (77.193) Epoch: [36][3850/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 2.1786 (2.0802) Prec@1 41.875 (46.723) Prec@5 76.875 (77.187) Epoch: [36][3860/11272] Time 0.868 (0.801) Data 0.001 (0.002) Loss 2.0191 (2.0803) Prec@1 55.000 (46.722) Prec@5 79.375 (77.187) Epoch: [36][3870/11272] Time 0.829 (0.801) Data 0.001 (0.002) Loss 2.0558 (2.0804) Prec@1 48.750 (46.725) Prec@5 79.375 (77.189) Epoch: [36][3880/11272] Time 0.752 (0.801) Data 0.002 (0.002) Loss 2.1861 (2.0803) Prec@1 43.750 (46.727) Prec@5 74.375 (77.189) Epoch: [36][3890/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.3673 (2.0803) Prec@1 38.750 (46.725) Prec@5 73.125 (77.191) Epoch: [36][3900/11272] Time 0.902 (0.801) Data 0.002 (0.002) Loss 2.1201 (2.0804) Prec@1 43.750 (46.722) Prec@5 73.125 (77.187) Epoch: [36][3910/11272] Time 0.737 (0.801) Data 0.003 (0.002) Loss 2.0213 (2.0804) Prec@1 53.125 (46.724) Prec@5 79.375 (77.190) Epoch: [36][3920/11272] Time 0.752 (0.801) Data 0.001 (0.002) Loss 1.8907 (2.0802) Prec@1 51.250 (46.731) Prec@5 83.750 (77.193) Epoch: [36][3930/11272] Time 0.906 (0.801) Data 0.001 (0.002) Loss 1.9156 (2.0805) Prec@1 49.375 (46.722) Prec@5 82.500 (77.188) Epoch: [36][3940/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 2.1631 (2.0805) Prec@1 49.375 (46.724) Prec@5 77.500 (77.191) Epoch: [36][3950/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 1.8635 (2.0803) Prec@1 57.500 (46.730) Prec@5 80.000 (77.195) Epoch: [36][3960/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 2.0788 (2.0803) Prec@1 44.375 (46.726) Prec@5 76.875 (77.196) Epoch: [36][3970/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 2.1447 (2.0803) Prec@1 44.375 (46.728) Prec@5 76.250 (77.197) Epoch: [36][3980/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.1332 (2.0803) Prec@1 43.125 (46.727) Prec@5 78.125 (77.197) Epoch: [36][3990/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 2.1056 (2.0802) Prec@1 47.500 (46.731) Prec@5 78.750 (77.201) Epoch: [36][4000/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.9329 (2.0802) Prec@1 50.625 (46.735) Prec@5 79.375 (77.201) Epoch: [36][4010/11272] Time 0.881 (0.801) Data 0.002 (0.002) Loss 2.2596 (2.0802) Prec@1 38.750 (46.731) Prec@5 76.875 (77.204) Epoch: [36][4020/11272] Time 0.900 (0.801) Data 0.002 (0.002) Loss 2.2643 (2.0804) Prec@1 42.500 (46.727) Prec@5 71.250 (77.202) Epoch: [36][4030/11272] Time 0.754 (0.801) Data 0.002 (0.002) Loss 1.9482 (2.0803) Prec@1 47.500 (46.734) Prec@5 79.375 (77.199) Epoch: [36][4040/11272] Time 0.842 (0.801) Data 0.001 (0.002) Loss 2.1805 (2.0803) Prec@1 40.625 (46.735) Prec@5 74.375 (77.200) Epoch: [36][4050/11272] Time 0.846 (0.801) Data 0.001 (0.002) Loss 2.3002 (2.0804) Prec@1 46.875 (46.732) Prec@5 70.625 (77.196) Epoch: [36][4060/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 2.0608 (2.0804) Prec@1 46.250 (46.732) Prec@5 81.875 (77.197) Epoch: [36][4070/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.2892 (2.0805) Prec@1 45.000 (46.727) Prec@5 76.250 (77.198) Epoch: [36][4080/11272] Time 0.880 (0.801) Data 0.002 (0.002) Loss 2.0638 (2.0806) Prec@1 48.125 (46.724) Prec@5 76.875 (77.197) Epoch: [36][4090/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 2.2683 (2.0806) Prec@1 41.250 (46.724) Prec@5 69.375 (77.195) Epoch: [36][4100/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.1564 (2.0808) Prec@1 41.875 (46.720) Prec@5 76.875 (77.192) Epoch: [36][4110/11272] Time 0.791 (0.801) Data 0.002 (0.002) Loss 2.1907 (2.0808) Prec@1 45.625 (46.721) Prec@5 71.875 (77.190) Epoch: [36][4120/11272] Time 0.845 (0.801) Data 0.002 (0.002) Loss 2.0173 (2.0809) Prec@1 45.000 (46.720) Prec@5 79.375 (77.190) Epoch: [36][4130/11272] Time 0.821 (0.801) Data 0.002 (0.002) Loss 2.0888 (2.0808) Prec@1 47.500 (46.720) Prec@5 75.625 (77.190) Epoch: [36][4140/11272] Time 0.755 (0.801) Data 0.002 (0.002) Loss 2.1985 (2.0810) Prec@1 45.625 (46.719) Prec@5 73.125 (77.184) Epoch: [36][4150/11272] Time 0.750 (0.801) Data 0.002 (0.002) Loss 1.8390 (2.0809) Prec@1 50.000 (46.721) Prec@5 85.000 (77.185) Epoch: [36][4160/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 2.0719 (2.0807) Prec@1 50.625 (46.723) Prec@5 79.375 (77.190) Epoch: [36][4170/11272] Time 0.830 (0.801) Data 0.002 (0.002) Loss 2.1284 (2.0807) Prec@1 42.500 (46.727) Prec@5 74.375 (77.190) Epoch: [36][4180/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.2598 (2.0809) Prec@1 40.625 (46.720) Prec@5 76.250 (77.187) Epoch: [36][4190/11272] Time 0.880 (0.801) Data 0.001 (0.002) Loss 2.2218 (2.0810) Prec@1 43.125 (46.717) Prec@5 73.750 (77.184) Epoch: [36][4200/11272] Time 0.863 (0.801) Data 0.006 (0.002) Loss 2.0465 (2.0809) Prec@1 46.875 (46.718) Prec@5 78.125 (77.185) Epoch: [36][4210/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.1293 (2.0809) Prec@1 41.250 (46.716) Prec@5 80.000 (77.189) Epoch: [36][4220/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.7949 (2.0810) Prec@1 58.125 (46.715) Prec@5 81.875 (77.189) Epoch: [36][4230/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 1.7884 (2.0810) Prec@1 56.250 (46.713) Prec@5 79.375 (77.185) Epoch: [36][4240/11272] Time 0.940 (0.801) Data 0.002 (0.002) Loss 2.1335 (2.0809) Prec@1 49.375 (46.718) Prec@5 76.250 (77.185) Epoch: [36][4250/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 2.0384 (2.0809) Prec@1 45.625 (46.717) Prec@5 75.625 (77.184) Epoch: [36][4260/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.1027 (2.0811) Prec@1 45.625 (46.714) Prec@5 74.375 (77.179) Epoch: [36][4270/11272] Time 0.839 (0.801) Data 0.001 (0.002) Loss 2.2759 (2.0810) Prec@1 41.250 (46.717) Prec@5 76.250 (77.181) Epoch: [36][4280/11272] Time 0.876 (0.801) Data 0.001 (0.002) Loss 1.9341 (2.0811) Prec@1 51.250 (46.716) Prec@5 80.625 (77.181) Epoch: [36][4290/11272] Time 0.777 (0.801) Data 0.001 (0.002) Loss 1.9208 (2.0812) Prec@1 48.125 (46.713) Prec@5 78.125 (77.179) Epoch: [36][4300/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 2.1720 (2.0812) Prec@1 39.375 (46.714) Prec@5 76.250 (77.178) Epoch: [36][4310/11272] Time 0.936 (0.801) Data 0.002 (0.002) Loss 1.8137 (2.0812) Prec@1 50.625 (46.715) Prec@5 81.250 (77.176) Epoch: [36][4320/11272] Time 0.714 (0.801) Data 0.002 (0.002) Loss 2.0668 (2.0811) Prec@1 48.750 (46.717) Prec@5 78.750 (77.177) Epoch: [36][4330/11272] Time 0.724 (0.801) Data 0.001 (0.002) Loss 2.1191 (2.0811) Prec@1 46.250 (46.715) Prec@5 74.375 (77.175) Epoch: [36][4340/11272] Time 0.842 (0.801) Data 0.002 (0.002) Loss 2.0152 (2.0811) Prec@1 48.125 (46.717) Prec@5 80.625 (77.178) Epoch: [36][4350/11272] Time 0.866 (0.801) Data 0.002 (0.002) Loss 2.0583 (2.0810) Prec@1 46.250 (46.722) Prec@5 75.000 (77.180) Epoch: [36][4360/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 1.6692 (2.0808) Prec@1 60.625 (46.726) Prec@5 83.125 (77.181) Epoch: [36][4370/11272] Time 0.723 (0.801) Data 0.002 (0.002) Loss 2.0874 (2.0807) Prec@1 45.000 (46.729) Prec@5 76.250 (77.182) Epoch: [36][4380/11272] Time 0.843 (0.801) Data 0.001 (0.002) Loss 2.1362 (2.0807) Prec@1 45.000 (46.728) Prec@5 77.500 (77.182) Epoch: [36][4390/11272] Time 0.833 (0.801) Data 0.002 (0.002) Loss 2.2313 (2.0808) Prec@1 44.375 (46.724) Prec@5 76.250 (77.181) Epoch: [36][4400/11272] Time 0.722 (0.801) Data 0.001 (0.002) Loss 1.9683 (2.0809) Prec@1 48.750 (46.721) Prec@5 78.750 (77.181) Epoch: [36][4410/11272] Time 0.716 (0.801) Data 0.002 (0.002) Loss 1.9780 (2.0808) Prec@1 45.000 (46.721) Prec@5 81.875 (77.183) Epoch: [36][4420/11272] Time 0.888 (0.801) Data 0.002 (0.002) Loss 2.1736 (2.0809) Prec@1 43.750 (46.717) Prec@5 75.000 (77.181) Epoch: [36][4430/11272] Time 0.840 (0.801) Data 0.002 (0.002) Loss 2.0986 (2.0810) Prec@1 46.875 (46.717) Prec@5 75.000 (77.181) Epoch: [36][4440/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.9880 (2.0811) Prec@1 52.500 (46.716) Prec@5 76.875 (77.180) Epoch: [36][4450/11272] Time 0.893 (0.801) Data 0.002 (0.002) Loss 1.9453 (2.0812) Prec@1 50.625 (46.718) Prec@5 79.375 (77.178) Epoch: [36][4460/11272] Time 0.851 (0.801) Data 0.001 (0.002) Loss 2.0455 (2.0812) Prec@1 46.250 (46.718) Prec@5 76.875 (77.177) Epoch: [36][4470/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 2.2511 (2.0814) Prec@1 49.375 (46.719) Prec@5 80.000 (77.175) Epoch: [36][4480/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 2.0726 (2.0815) Prec@1 50.000 (46.714) Prec@5 73.125 (77.171) Epoch: [36][4490/11272] Time 0.889 (0.801) Data 0.002 (0.002) Loss 2.0126 (2.0814) Prec@1 48.750 (46.717) Prec@5 81.250 (77.173) Epoch: [36][4500/11272] Time 0.835 (0.801) Data 0.002 (0.002) Loss 1.9968 (2.0815) Prec@1 44.375 (46.715) Prec@5 78.125 (77.174) Epoch: [36][4510/11272] Time 0.751 (0.801) Data 0.002 (0.002) Loss 2.0929 (2.0816) Prec@1 48.750 (46.710) Prec@5 76.250 (77.173) Epoch: [36][4520/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.2335 (2.0816) Prec@1 46.250 (46.712) Prec@5 72.500 (77.173) Epoch: [36][4530/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.1666 (2.0817) Prec@1 43.125 (46.710) Prec@5 74.375 (77.170) Epoch: [36][4540/11272] Time 0.809 (0.801) Data 0.001 (0.002) Loss 2.0912 (2.0820) Prec@1 48.125 (46.703) Prec@5 76.875 (77.168) Epoch: [36][4550/11272] Time 0.726 (0.801) Data 0.001 (0.002) Loss 1.9937 (2.0819) Prec@1 51.250 (46.704) Prec@5 74.375 (77.167) Epoch: [36][4560/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.3511 (2.0820) Prec@1 42.500 (46.702) Prec@5 71.875 (77.167) Epoch: [36][4570/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 2.0457 (2.0820) Prec@1 45.625 (46.703) Prec@5 76.250 (77.169) Epoch: [36][4580/11272] Time 0.744 (0.801) Data 0.003 (0.002) Loss 2.0604 (2.0819) Prec@1 42.500 (46.707) Prec@5 78.750 (77.169) Epoch: [36][4590/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.0590 (2.0819) Prec@1 49.375 (46.706) Prec@5 74.375 (77.166) Epoch: [36][4600/11272] Time 0.912 (0.801) Data 0.001 (0.002) Loss 1.8945 (2.0817) Prec@1 51.250 (46.710) Prec@5 81.250 (77.167) Epoch: [36][4610/11272] Time 0.838 (0.801) Data 0.001 (0.002) Loss 1.9013 (2.0816) Prec@1 48.125 (46.713) Prec@5 82.500 (77.169) Epoch: [36][4620/11272] Time 0.746 (0.801) Data 0.003 (0.002) Loss 2.1475 (2.0820) Prec@1 49.375 (46.705) Prec@5 78.125 (77.163) Epoch: [36][4630/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 1.9042 (2.0820) Prec@1 51.250 (46.704) Prec@5 81.250 (77.162) Epoch: [36][4640/11272] Time 0.843 (0.801) Data 0.002 (0.002) Loss 1.9477 (2.0820) Prec@1 45.625 (46.702) Prec@5 80.625 (77.163) Epoch: [36][4650/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.1317 (2.0819) Prec@1 44.375 (46.701) Prec@5 75.625 (77.165) Epoch: [36][4660/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 1.8597 (2.0820) Prec@1 54.375 (46.698) Prec@5 81.875 (77.164) Epoch: [36][4670/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 1.9270 (2.0820) Prec@1 48.125 (46.699) Prec@5 83.750 (77.165) Epoch: [36][4680/11272] Time 0.837 (0.801) Data 0.002 (0.002) Loss 2.0626 (2.0820) Prec@1 45.000 (46.700) Prec@5 76.250 (77.165) Epoch: [36][4690/11272] Time 0.822 (0.801) Data 0.002 (0.002) Loss 1.9585 (2.0822) Prec@1 50.625 (46.695) Prec@5 77.500 (77.159) Epoch: [36][4700/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 1.8895 (2.0821) Prec@1 50.000 (46.696) Prec@5 81.875 (77.163) Epoch: [36][4710/11272] Time 0.897 (0.801) Data 0.002 (0.002) Loss 1.9850 (2.0821) Prec@1 53.125 (46.698) Prec@5 82.500 (77.162) Epoch: [36][4720/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.0051 (2.0820) Prec@1 48.750 (46.702) Prec@5 80.000 (77.166) Epoch: [36][4730/11272] Time 0.721 (0.801) Data 0.001 (0.002) Loss 1.8604 (2.0819) Prec@1 53.125 (46.704) Prec@5 81.250 (77.166) Epoch: [36][4740/11272] Time 0.754 (0.801) Data 0.002 (0.002) Loss 1.8416 (2.0818) Prec@1 51.250 (46.708) Prec@5 78.750 (77.167) Epoch: [36][4750/11272] Time 0.851 (0.801) Data 0.001 (0.002) Loss 2.4305 (2.0818) Prec@1 41.875 (46.707) Prec@5 70.625 (77.168) Epoch: [36][4760/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.0002 (2.0818) Prec@1 48.750 (46.706) Prec@5 77.500 (77.168) Epoch: [36][4770/11272] Time 0.774 (0.801) Data 0.002 (0.002) Loss 2.0780 (2.0819) Prec@1 48.125 (46.703) Prec@5 75.000 (77.165) Epoch: [36][4780/11272] Time 0.741 (0.801) Data 0.001 (0.002) Loss 2.0274 (2.0820) Prec@1 45.000 (46.699) Prec@5 78.125 (77.165) Epoch: [36][4790/11272] Time 0.890 (0.801) Data 0.002 (0.002) Loss 2.1625 (2.0821) Prec@1 43.750 (46.697) Prec@5 76.250 (77.166) Epoch: [36][4800/11272] Time 0.892 (0.801) Data 0.002 (0.002) Loss 1.8613 (2.0822) Prec@1 55.000 (46.696) Prec@5 75.000 (77.163) Epoch: [36][4810/11272] Time 0.725 (0.801) Data 0.002 (0.002) Loss 2.1649 (2.0822) Prec@1 43.750 (46.692) Prec@5 77.500 (77.164) Epoch: [36][4820/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 1.8764 (2.0821) Prec@1 50.000 (46.695) Prec@5 83.750 (77.166) Epoch: [36][4830/11272] Time 0.884 (0.801) Data 0.001 (0.002) Loss 2.1841 (2.0821) Prec@1 42.500 (46.695) Prec@5 78.125 (77.167) Epoch: [36][4840/11272] Time 0.739 (0.801) Data 0.003 (0.002) Loss 1.8965 (2.0824) Prec@1 47.500 (46.689) Prec@5 84.375 (77.163) Epoch: [36][4850/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 1.8933 (2.0824) Prec@1 51.875 (46.686) Prec@5 81.875 (77.162) Epoch: [36][4860/11272] Time 0.847 (0.801) Data 0.001 (0.002) Loss 1.9784 (2.0823) Prec@1 43.125 (46.686) Prec@5 83.125 (77.164) Epoch: [36][4870/11272] Time 0.833 (0.801) Data 0.002 (0.002) Loss 1.9883 (2.0824) Prec@1 46.250 (46.684) Prec@5 76.875 (77.162) Epoch: [36][4880/11272] Time 0.772 (0.801) Data 0.002 (0.002) Loss 2.0480 (2.0824) Prec@1 48.125 (46.685) Prec@5 78.750 (77.161) Epoch: [36][4890/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 2.2427 (2.0825) Prec@1 43.125 (46.682) Prec@5 74.375 (77.160) Epoch: [36][4900/11272] Time 0.854 (0.801) Data 0.001 (0.002) Loss 2.3439 (2.0826) Prec@1 40.625 (46.681) Prec@5 73.750 (77.157) Epoch: [36][4910/11272] Time 0.869 (0.801) Data 0.002 (0.002) Loss 2.3194 (2.0827) Prec@1 45.000 (46.679) Prec@5 72.500 (77.154) Epoch: [36][4920/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.8429 (2.0827) Prec@1 50.625 (46.679) Prec@5 80.000 (77.155) Epoch: [36][4930/11272] Time 0.723 (0.801) Data 0.001 (0.002) Loss 2.0260 (2.0826) Prec@1 50.000 (46.683) Prec@5 78.750 (77.158) Epoch: [36][4940/11272] Time 0.844 (0.801) Data 0.001 (0.002) Loss 2.2425 (2.0827) Prec@1 38.750 (46.680) Prec@5 73.750 (77.159) Epoch: [36][4950/11272] Time 0.880 (0.801) Data 0.002 (0.002) Loss 1.9781 (2.0825) Prec@1 48.750 (46.685) Prec@5 80.000 (77.160) Epoch: [36][4960/11272] Time 0.735 (0.801) Data 0.001 (0.002) Loss 2.0030 (2.0825) Prec@1 50.000 (46.684) Prec@5 79.375 (77.161) Epoch: [36][4970/11272] Time 0.827 (0.801) Data 0.002 (0.002) Loss 2.1971 (2.0826) Prec@1 43.125 (46.682) Prec@5 78.125 (77.160) Epoch: [36][4980/11272] Time 0.839 (0.801) Data 0.001 (0.002) Loss 1.6973 (2.0825) Prec@1 56.875 (46.687) Prec@5 83.125 (77.163) Epoch: [36][4990/11272] Time 0.744 (0.801) Data 0.001 (0.002) Loss 2.1481 (2.0826) Prec@1 47.500 (46.688) Prec@5 75.000 (77.161) Epoch: [36][5000/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.2405 (2.0826) Prec@1 43.125 (46.687) Prec@5 71.875 (77.161) Epoch: [36][5010/11272] Time 0.892 (0.801) Data 0.001 (0.002) Loss 2.0869 (2.0826) Prec@1 43.750 (46.689) Prec@5 77.500 (77.161) Epoch: [36][5020/11272] Time 0.894 (0.801) Data 0.002 (0.002) Loss 1.9936 (2.0825) Prec@1 50.625 (46.688) Prec@5 80.000 (77.162) Epoch: [36][5030/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.2334 (2.0825) Prec@1 45.625 (46.690) Prec@5 75.000 (77.163) Epoch: [36][5040/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.0447 (2.0826) Prec@1 49.375 (46.689) Prec@5 80.000 (77.163) Epoch: [36][5050/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.3397 (2.0826) Prec@1 41.875 (46.689) Prec@5 74.375 (77.162) Epoch: [36][5060/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 1.8355 (2.0825) Prec@1 52.500 (46.689) Prec@5 83.750 (77.165) Epoch: [36][5070/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1904 (2.0826) Prec@1 42.500 (46.686) Prec@5 76.875 (77.165) Epoch: [36][5080/11272] Time 0.792 (0.800) Data 0.001 (0.002) Loss 2.0747 (2.0825) Prec@1 43.125 (46.686) Prec@5 79.375 (77.164) Epoch: [36][5090/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9621 (2.0826) Prec@1 52.500 (46.683) Prec@5 76.875 (77.161) Epoch: [36][5100/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.3353 (2.0826) Prec@1 42.500 (46.685) Prec@5 71.250 (77.161) Epoch: [36][5110/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.3405 (2.0827) Prec@1 35.000 (46.683) Prec@5 73.750 (77.161) Epoch: [36][5120/11272] Time 0.853 (0.800) Data 0.001 (0.002) Loss 2.1325 (2.0828) Prec@1 43.125 (46.681) Prec@5 73.750 (77.160) Epoch: [36][5130/11272] Time 0.933 (0.800) Data 0.001 (0.002) Loss 2.1304 (2.0829) Prec@1 48.125 (46.679) Prec@5 72.500 (77.157) Epoch: [36][5140/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.2870 (2.0829) Prec@1 44.375 (46.679) Prec@5 75.625 (77.157) Epoch: [36][5150/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.3329 (2.0829) Prec@1 45.625 (46.677) Prec@5 73.125 (77.156) Epoch: [36][5160/11272] Time 0.887 (0.800) Data 0.001 (0.002) Loss 2.1873 (2.0829) Prec@1 45.000 (46.679) Prec@5 76.250 (77.156) Epoch: [36][5170/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 2.1638 (2.0830) Prec@1 43.750 (46.679) Prec@5 70.000 (77.155) Epoch: [36][5180/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.3362 (2.0831) Prec@1 38.750 (46.676) Prec@5 71.875 (77.155) Epoch: [36][5190/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 1.7366 (2.0830) Prec@1 53.750 (46.679) Prec@5 84.375 (77.159) Epoch: [36][5200/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.2663 (2.0830) Prec@1 46.875 (46.677) Prec@5 76.250 (77.158) Epoch: [36][5210/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.9039 (2.0832) Prec@1 53.125 (46.676) Prec@5 80.625 (77.156) Epoch: [36][5220/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.2363 (2.0832) Prec@1 40.000 (46.676) Prec@5 75.000 (77.153) Epoch: [36][5230/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 1.8951 (2.0832) Prec@1 46.875 (46.674) Prec@5 80.000 (77.152) Epoch: [36][5240/11272] Time 0.887 (0.800) Data 0.001 (0.002) Loss 2.1899 (2.0833) Prec@1 43.125 (46.670) Prec@5 78.125 (77.150) Epoch: [36][5250/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 2.3253 (2.0834) Prec@1 45.625 (46.667) Prec@5 75.000 (77.150) Epoch: [36][5260/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0903 (2.0834) Prec@1 46.875 (46.664) Prec@5 78.125 (77.148) Epoch: [36][5270/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.1679 (2.0834) Prec@1 46.875 (46.663) Prec@5 80.000 (77.150) Epoch: [36][5280/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.2101 (2.0835) Prec@1 48.750 (46.663) Prec@5 74.375 (77.150) Epoch: [36][5290/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.4186 (2.0835) Prec@1 35.000 (46.661) Prec@5 69.375 (77.148) Epoch: [36][5300/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 1.9351 (2.0838) Prec@1 51.250 (46.658) Prec@5 78.750 (77.144) Epoch: [36][5310/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 1.9852 (2.0839) Prec@1 50.625 (46.657) Prec@5 77.500 (77.142) Epoch: [36][5320/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 2.2669 (2.0839) Prec@1 42.500 (46.657) Prec@5 76.250 (77.142) Epoch: [36][5330/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.0505 (2.0839) Prec@1 51.875 (46.659) Prec@5 78.750 (77.142) Epoch: [36][5340/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 2.3957 (2.0839) Prec@1 38.125 (46.660) Prec@5 70.625 (77.140) Epoch: [36][5350/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.1891 (2.0839) Prec@1 45.625 (46.660) Prec@5 74.375 (77.139) Epoch: [36][5360/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 1.9775 (2.0840) Prec@1 46.875 (46.661) Prec@5 80.000 (77.137) Epoch: [36][5370/11272] Time 0.730 (0.800) Data 0.003 (0.002) Loss 2.2709 (2.0841) Prec@1 41.875 (46.657) Prec@5 70.000 (77.135) Epoch: [36][5380/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 2.1296 (2.0841) Prec@1 50.625 (46.659) Prec@5 75.625 (77.135) Epoch: [36][5390/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.4039 (2.0842) Prec@1 38.125 (46.657) Prec@5 75.000 (77.132) Epoch: [36][5400/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 1.8918 (2.0842) Prec@1 52.500 (46.660) Prec@5 78.750 (77.131) Epoch: [36][5410/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 1.9796 (2.0841) Prec@1 47.500 (46.661) Prec@5 80.625 (77.131) Epoch: [36][5420/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.1147 (2.0840) Prec@1 44.375 (46.662) Prec@5 77.500 (77.132) Epoch: [36][5430/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 2.2253 (2.0841) Prec@1 45.000 (46.658) Prec@5 75.000 (77.133) Epoch: [36][5440/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1034 (2.0843) Prec@1 45.625 (46.654) Prec@5 76.875 (77.131) Epoch: [36][5450/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.3381 (2.0845) Prec@1 38.125 (46.651) Prec@5 74.375 (77.126) Epoch: [36][5460/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.1509 (2.0846) Prec@1 42.500 (46.649) Prec@5 78.125 (77.126) Epoch: [36][5470/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 1.9600 (2.0847) Prec@1 44.375 (46.643) Prec@5 78.125 (77.124) Epoch: [36][5480/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.3051 (2.0849) Prec@1 43.125 (46.641) Prec@5 75.625 (77.124) Epoch: [36][5490/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 1.9361 (2.0849) Prec@1 51.875 (46.638) Prec@5 80.000 (77.125) Epoch: [36][5500/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 2.0211 (2.0848) Prec@1 46.250 (46.640) Prec@5 74.375 (77.126) Epoch: [36][5510/11272] Time 0.726 (0.800) Data 0.003 (0.002) Loss 1.8515 (2.0847) Prec@1 51.250 (46.642) Prec@5 83.125 (77.127) Epoch: [36][5520/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.1261 (2.0847) Prec@1 44.375 (46.640) Prec@5 78.750 (77.125) Epoch: [36][5530/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.2695 (2.0848) Prec@1 44.375 (46.639) Prec@5 75.625 (77.125) Epoch: [36][5540/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9707 (2.0849) Prec@1 50.625 (46.637) Prec@5 80.000 (77.123) Epoch: [36][5550/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0435 (2.0850) Prec@1 49.375 (46.637) Prec@5 76.875 (77.122) Epoch: [36][5560/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1620 (2.0850) Prec@1 42.500 (46.639) Prec@5 75.625 (77.123) Epoch: [36][5570/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.0208 (2.0850) Prec@1 46.250 (46.641) Prec@5 80.625 (77.124) Epoch: [36][5580/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 2.3711 (2.0851) Prec@1 39.375 (46.637) Prec@5 72.500 (77.122) Epoch: [36][5590/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0602 (2.0852) Prec@1 44.375 (46.634) Prec@5 81.250 (77.122) Epoch: [36][5600/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.1582 (2.0853) Prec@1 40.625 (46.632) Prec@5 75.625 (77.121) Epoch: [36][5610/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 2.0633 (2.0853) Prec@1 46.250 (46.629) Prec@5 75.625 (77.119) Epoch: [36][5620/11272] Time 0.826 (0.800) Data 0.002 (0.002) Loss 2.1671 (2.0854) Prec@1 43.750 (46.623) Prec@5 74.375 (77.116) Epoch: [36][5630/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.0117 (2.0855) Prec@1 50.000 (46.623) Prec@5 80.000 (77.114) Epoch: [36][5640/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.1254 (2.0855) Prec@1 43.125 (46.622) Prec@5 78.125 (77.113) Epoch: [36][5650/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 1.8656 (2.0855) Prec@1 49.375 (46.623) Prec@5 80.000 (77.112) Epoch: [36][5660/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.0040 (2.0854) Prec@1 50.625 (46.625) Prec@5 78.750 (77.112) Epoch: [36][5670/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1259 (2.0854) Prec@1 42.500 (46.625) Prec@5 78.750 (77.113) Epoch: [36][5680/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.2186 (2.0854) Prec@1 46.875 (46.625) Prec@5 71.875 (77.111) Epoch: [36][5690/11272] Time 0.921 (0.800) Data 0.001 (0.002) Loss 2.2320 (2.0855) Prec@1 40.625 (46.626) Prec@5 76.875 (77.110) Epoch: [36][5700/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.0724 (2.0855) Prec@1 46.875 (46.624) Prec@5 76.875 (77.111) Epoch: [36][5710/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.9897 (2.0855) Prec@1 51.250 (46.626) Prec@5 80.000 (77.112) Epoch: [36][5720/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9542 (2.0854) Prec@1 48.125 (46.627) Prec@5 78.750 (77.113) Epoch: [36][5730/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 1.8275 (2.0855) Prec@1 52.500 (46.627) Prec@5 79.375 (77.112) Epoch: [36][5740/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 1.8338 (2.0855) Prec@1 53.750 (46.626) Prec@5 80.000 (77.111) Epoch: [36][5750/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.1489 (2.0854) Prec@1 41.875 (46.627) Prec@5 78.125 (77.112) Epoch: [36][5760/11272] Time 0.917 (0.800) Data 0.002 (0.002) Loss 2.1025 (2.0855) Prec@1 41.250 (46.627) Prec@5 75.625 (77.109) Epoch: [36][5770/11272] Time 0.739 (0.800) Data 0.004 (0.002) Loss 2.0773 (2.0856) Prec@1 48.125 (46.625) Prec@5 76.875 (77.109) Epoch: [36][5780/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.9696 (2.0856) Prec@1 49.375 (46.624) Prec@5 81.250 (77.110) Epoch: [36][5790/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 1.9620 (2.0855) Prec@1 51.875 (46.626) Prec@5 78.125 (77.112) Epoch: [36][5800/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 1.8742 (2.0855) Prec@1 52.500 (46.629) Prec@5 80.625 (77.113) Epoch: [36][5810/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.3212 (2.0855) Prec@1 43.750 (46.629) Prec@5 73.125 (77.113) Epoch: [36][5820/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1260 (2.0856) Prec@1 43.750 (46.627) Prec@5 77.500 (77.112) Epoch: [36][5830/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 2.1743 (2.0855) Prec@1 43.125 (46.626) Prec@5 75.625 (77.114) Epoch: [36][5840/11272] Time 0.815 (0.800) Data 0.001 (0.002) Loss 1.9530 (2.0855) Prec@1 50.000 (46.625) Prec@5 75.625 (77.114) Epoch: [36][5850/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.1407 (2.0855) Prec@1 43.125 (46.624) Prec@5 76.250 (77.113) Epoch: [36][5860/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.2430 (2.0855) Prec@1 45.625 (46.625) Prec@5 71.875 (77.114) Epoch: [36][5870/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.2259 (2.0857) Prec@1 46.250 (46.623) Prec@5 72.500 (77.111) Epoch: [36][5880/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 1.9322 (2.0858) Prec@1 51.875 (46.620) Prec@5 78.750 (77.111) Epoch: [36][5890/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.0967 (2.0857) Prec@1 48.125 (46.623) Prec@5 76.250 (77.110) Epoch: [36][5900/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 2.2563 (2.0858) Prec@1 41.875 (46.623) Prec@5 75.000 (77.107) Epoch: [36][5910/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1980 (2.0858) Prec@1 48.125 (46.622) Prec@5 74.375 (77.109) Epoch: [36][5920/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.1293 (2.0859) Prec@1 47.500 (46.622) Prec@5 76.250 (77.108) Epoch: [36][5930/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 1.7294 (2.0859) Prec@1 58.125 (46.625) Prec@5 78.750 (77.109) Epoch: [36][5940/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.1456 (2.0858) Prec@1 41.875 (46.625) Prec@5 74.375 (77.109) Epoch: [36][5950/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 2.2567 (2.0857) Prec@1 46.875 (46.628) Prec@5 73.750 (77.110) Epoch: [36][5960/11272] Time 0.734 (0.800) Data 0.003 (0.002) Loss 1.9695 (2.0857) Prec@1 45.625 (46.629) Prec@5 82.500 (77.111) Epoch: [36][5970/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1184 (2.0857) Prec@1 48.125 (46.628) Prec@5 80.625 (77.111) Epoch: [36][5980/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 2.0064 (2.0858) Prec@1 47.500 (46.625) Prec@5 81.250 (77.109) Epoch: [36][5990/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.7766 (2.0858) Prec@1 55.625 (46.625) Prec@5 83.125 (77.109) Epoch: [36][6000/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.2104 (2.0859) Prec@1 41.250 (46.623) Prec@5 75.625 (77.109) Epoch: [36][6010/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 2.2366 (2.0859) Prec@1 44.375 (46.625) Prec@5 73.125 (77.108) Epoch: [36][6020/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.1511 (2.0860) Prec@1 48.125 (46.622) Prec@5 76.250 (77.107) Epoch: [36][6030/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1898 (2.0861) Prec@1 46.250 (46.621) Prec@5 75.000 (77.108) Epoch: [36][6040/11272] Time 0.757 (0.800) Data 0.001 (0.002) Loss 2.0004 (2.0861) Prec@1 46.875 (46.618) Prec@5 78.125 (77.107) Epoch: [36][6050/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 2.0130 (2.0862) Prec@1 50.625 (46.617) Prec@5 74.375 (77.106) Epoch: [36][6060/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 1.9933 (2.0864) Prec@1 51.250 (46.612) Prec@5 80.625 (77.105) Epoch: [36][6070/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.8626 (2.0864) Prec@1 51.250 (46.612) Prec@5 80.625 (77.103) Epoch: [36][6080/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.2088 (2.0865) Prec@1 45.000 (46.609) Prec@5 73.125 (77.102) Epoch: [36][6090/11272] Time 0.947 (0.800) Data 0.001 (0.002) Loss 2.2398 (2.0866) Prec@1 38.750 (46.606) Prec@5 75.000 (77.099) Epoch: [36][6100/11272] Time 0.893 (0.800) Data 0.002 (0.002) Loss 2.0781 (2.0866) Prec@1 49.375 (46.609) Prec@5 73.750 (77.099) Epoch: [36][6110/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0758 (2.0866) Prec@1 46.250 (46.610) Prec@5 77.500 (77.100) Epoch: [36][6120/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.0266 (2.0866) Prec@1 48.125 (46.609) Prec@5 80.625 (77.099) Epoch: [36][6130/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 1.9866 (2.0865) Prec@1 50.000 (46.610) Prec@5 78.125 (77.102) Epoch: [36][6140/11272] Time 0.816 (0.800) Data 0.001 (0.002) Loss 1.9728 (2.0865) Prec@1 44.375 (46.610) Prec@5 80.000 (77.101) Epoch: [36][6150/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9246 (2.0864) Prec@1 50.000 (46.612) Prec@5 82.500 (77.102) Epoch: [36][6160/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.8849 (2.0864) Prec@1 49.375 (46.612) Prec@5 85.000 (77.102) Epoch: [36][6170/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.1630 (2.0863) Prec@1 41.875 (46.612) Prec@5 73.750 (77.103) Epoch: [36][6180/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.0939 (2.0862) Prec@1 50.000 (46.617) Prec@5 75.625 (77.103) Epoch: [36][6190/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.1561 (2.0862) Prec@1 48.125 (46.617) Prec@5 77.500 (77.104) Epoch: [36][6200/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 1.9941 (2.0862) Prec@1 46.250 (46.617) Prec@5 80.625 (77.105) Epoch: [36][6210/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.1065 (2.0862) Prec@1 47.500 (46.617) Prec@5 75.625 (77.106) Epoch: [36][6220/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.1344 (2.0864) Prec@1 42.500 (46.612) Prec@5 73.750 (77.103) Epoch: [36][6230/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.0606 (2.0864) Prec@1 45.000 (46.610) Prec@5 77.500 (77.104) Epoch: [36][6240/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 1.9938 (2.0864) Prec@1 47.500 (46.610) Prec@5 81.250 (77.104) Epoch: [36][6250/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 2.1101 (2.0864) Prec@1 45.625 (46.612) Prec@5 79.375 (77.105) Epoch: [36][6260/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9062 (2.0864) Prec@1 49.375 (46.610) Prec@5 76.250 (77.102) Epoch: [36][6270/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.1404 (2.0864) Prec@1 47.500 (46.611) Prec@5 77.500 (77.105) Epoch: [36][6280/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 1.8926 (2.0864) Prec@1 47.500 (46.610) Prec@5 78.750 (77.104) Epoch: [36][6290/11272] Time 0.826 (0.800) Data 0.002 (0.002) Loss 2.1139 (2.0865) Prec@1 47.500 (46.606) Prec@5 76.250 (77.103) Epoch: [36][6300/11272] Time 0.758 (0.800) Data 0.001 (0.002) Loss 2.0697 (2.0865) Prec@1 47.500 (46.606) Prec@5 75.000 (77.101) Epoch: [36][6310/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 1.8657 (2.0865) Prec@1 57.500 (46.609) Prec@5 80.000 (77.101) Epoch: [36][6320/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 1.9906 (2.0865) Prec@1 50.625 (46.611) Prec@5 77.500 (77.099) Epoch: [36][6330/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0262 (2.0864) Prec@1 50.000 (46.614) Prec@5 75.625 (77.101) Epoch: [36][6340/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.2356 (2.0864) Prec@1 40.625 (46.613) Prec@5 73.750 (77.101) Epoch: [36][6350/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 1.9794 (2.0864) Prec@1 48.750 (46.615) Prec@5 79.375 (77.101) Epoch: [36][6360/11272] Time 0.918 (0.800) Data 0.002 (0.002) Loss 1.8831 (2.0863) Prec@1 51.875 (46.617) Prec@5 80.625 (77.102) Epoch: [36][6370/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.0197 (2.0864) Prec@1 50.625 (46.618) Prec@5 77.500 (77.103) Epoch: [36][6380/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 1.7308 (2.0862) Prec@1 55.625 (46.619) Prec@5 83.125 (77.107) Epoch: [36][6390/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 1.9128 (2.0863) Prec@1 46.250 (46.615) Prec@5 81.250 (77.107) Epoch: [36][6400/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.0492 (2.0862) Prec@1 45.625 (46.616) Prec@5 78.125 (77.108) Epoch: [36][6410/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 2.0379 (2.0863) Prec@1 48.125 (46.615) Prec@5 78.125 (77.107) Epoch: [36][6420/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.0692 (2.0862) Prec@1 46.875 (46.617) Prec@5 75.625 (77.105) Epoch: [36][6430/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.9580 (2.0863) Prec@1 46.250 (46.614) Prec@5 77.500 (77.104) Epoch: [36][6440/11272] Time 0.722 (0.800) Data 0.003 (0.002) Loss 2.1942 (2.0864) Prec@1 43.750 (46.613) Prec@5 78.125 (77.104) Epoch: [36][6450/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 2.1682 (2.0863) Prec@1 44.375 (46.614) Prec@5 75.625 (77.106) Epoch: [36][6460/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.8225 (2.0862) Prec@1 54.375 (46.617) Prec@5 81.875 (77.106) Epoch: [36][6470/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 2.2192 (2.0862) Prec@1 44.375 (46.618) Prec@5 76.250 (77.109) Epoch: [36][6480/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.9475 (2.0863) Prec@1 53.750 (46.617) Prec@5 81.250 (77.108) Epoch: [36][6490/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1454 (2.0863) Prec@1 45.000 (46.614) Prec@5 78.750 (77.108) Epoch: [36][6500/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 1.8957 (2.0864) Prec@1 48.750 (46.612) Prec@5 79.375 (77.108) Epoch: [36][6510/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 1.9472 (2.0865) Prec@1 41.875 (46.608) Prec@5 78.125 (77.106) Epoch: [36][6520/11272] Time 0.783 (0.800) Data 0.002 (0.002) Loss 1.9474 (2.0864) Prec@1 54.375 (46.610) Prec@5 78.125 (77.108) Epoch: [36][6530/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0659 (2.0864) Prec@1 44.375 (46.608) Prec@5 80.000 (77.108) Epoch: [36][6540/11272] Time 0.867 (0.800) Data 0.001 (0.002) Loss 2.1088 (2.0864) Prec@1 41.250 (46.608) Prec@5 77.500 (77.108) Epoch: [36][6550/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.0502 (2.0864) Prec@1 47.500 (46.611) Prec@5 81.875 (77.108) Epoch: [36][6560/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.1755 (2.0864) Prec@1 43.125 (46.609) Prec@5 75.000 (77.107) Epoch: [36][6570/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.0713 (2.0865) Prec@1 44.375 (46.605) Prec@5 78.750 (77.107) Epoch: [36][6580/11272] Time 0.860 (0.800) Data 0.001 (0.002) Loss 2.2040 (2.0865) Prec@1 43.750 (46.602) Prec@5 75.000 (77.107) Epoch: [36][6590/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.9394 (2.0866) Prec@1 46.250 (46.599) Prec@5 78.125 (77.106) Epoch: [36][6600/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 1.8891 (2.0866) Prec@1 49.375 (46.600) Prec@5 80.000 (77.105) Epoch: [36][6610/11272] Time 0.843 (0.800) Data 0.001 (0.002) Loss 2.1305 (2.0867) Prec@1 42.500 (46.599) Prec@5 75.625 (77.105) Epoch: [36][6620/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 1.7955 (2.0866) Prec@1 52.500 (46.602) Prec@5 83.125 (77.107) Epoch: [36][6630/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 1.9054 (2.0866) Prec@1 50.625 (46.599) Prec@5 81.250 (77.107) Epoch: [36][6640/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.2201 (2.0866) Prec@1 45.000 (46.597) Prec@5 75.625 (77.107) Epoch: [36][6650/11272] Time 0.811 (0.800) Data 0.002 (0.002) Loss 2.1785 (2.0867) Prec@1 45.000 (46.594) Prec@5 73.125 (77.105) Epoch: [36][6660/11272] Time 0.809 (0.800) Data 0.001 (0.002) Loss 1.8274 (2.0867) Prec@1 49.375 (46.595) Prec@5 82.500 (77.105) Epoch: [36][6670/11272] Time 0.711 (0.800) Data 0.001 (0.002) Loss 2.2532 (2.0866) Prec@1 44.375 (46.596) Prec@5 76.875 (77.106) Epoch: [36][6680/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 1.9311 (2.0865) Prec@1 50.000 (46.598) Prec@5 80.625 (77.108) Epoch: [36][6690/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 1.9325 (2.0864) Prec@1 43.750 (46.598) Prec@5 81.875 (77.108) Epoch: [36][6700/11272] Time 0.753 (0.800) Data 0.004 (0.002) Loss 2.0496 (2.0864) Prec@1 49.375 (46.599) Prec@5 75.000 (77.107) Epoch: [36][6710/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 2.3459 (2.0864) Prec@1 41.250 (46.598) Prec@5 75.625 (77.107) Epoch: [36][6720/11272] Time 0.903 (0.800) Data 0.002 (0.002) Loss 1.9633 (2.0865) Prec@1 48.125 (46.595) Prec@5 78.125 (77.106) Epoch: [36][6730/11272] Time 0.816 (0.800) Data 0.001 (0.002) Loss 2.0135 (2.0864) Prec@1 51.250 (46.596) Prec@5 77.500 (77.108) Epoch: [36][6740/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0304 (2.0865) Prec@1 53.125 (46.596) Prec@5 78.125 (77.107) Epoch: [36][6750/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0141 (2.0866) Prec@1 46.250 (46.597) Prec@5 75.625 (77.105) Epoch: [36][6760/11272] Time 0.934 (0.800) Data 0.002 (0.002) Loss 1.9580 (2.0866) Prec@1 46.250 (46.597) Prec@5 75.625 (77.104) Epoch: [36][6770/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.2851 (2.0866) Prec@1 45.625 (46.595) Prec@5 70.625 (77.102) Epoch: [36][6780/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.3978 (2.0867) Prec@1 41.875 (46.594) Prec@5 73.750 (77.100) Epoch: [36][6790/11272] Time 0.718 (0.800) Data 0.002 (0.002) Loss 2.0612 (2.0867) Prec@1 49.375 (46.594) Prec@5 76.250 (77.099) Epoch: [36][6800/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 2.2013 (2.0867) Prec@1 43.125 (46.593) Prec@5 75.625 (77.097) Epoch: [36][6810/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0240 (2.0868) Prec@1 49.375 (46.594) Prec@5 77.500 (77.097) Epoch: [36][6820/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 2.1433 (2.0867) Prec@1 44.375 (46.595) Prec@5 78.750 (77.097) Epoch: [36][6830/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0737 (2.0867) Prec@1 50.625 (46.595) Prec@5 75.000 (77.095) Epoch: [36][6840/11272] Time 0.809 (0.800) Data 0.001 (0.002) Loss 1.8732 (2.0866) Prec@1 50.625 (46.599) Prec@5 81.875 (77.097) Epoch: [36][6850/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.1094 (2.0866) Prec@1 48.125 (46.600) Prec@5 76.875 (77.098) Epoch: [36][6860/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 1.9709 (2.0864) Prec@1 50.625 (46.601) Prec@5 83.125 (77.099) Epoch: [36][6870/11272] Time 0.913 (0.800) Data 0.002 (0.002) Loss 2.0580 (2.0864) Prec@1 46.250 (46.602) Prec@5 79.375 (77.099) Epoch: [36][6880/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 1.9552 (2.0864) Prec@1 48.750 (46.601) Prec@5 80.000 (77.099) Epoch: [36][6890/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 1.9455 (2.0866) Prec@1 50.000 (46.598) Prec@5 78.125 (77.098) Epoch: [36][6900/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.3020 (2.0865) Prec@1 45.000 (46.601) Prec@5 71.250 (77.098) Epoch: [36][6910/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 2.0563 (2.0866) Prec@1 45.625 (46.599) Prec@5 78.750 (77.098) Epoch: [36][6920/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0813 (2.0868) Prec@1 46.250 (46.593) Prec@5 79.375 (77.095) Epoch: [36][6930/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.2755 (2.0868) Prec@1 45.625 (46.593) Prec@5 72.500 (77.095) Epoch: [36][6940/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 2.0964 (2.0867) Prec@1 48.750 (46.597) Prec@5 75.625 (77.096) Epoch: [36][6950/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 2.1665 (2.0867) Prec@1 48.750 (46.596) Prec@5 73.750 (77.094) Epoch: [36][6960/11272] Time 0.819 (0.800) Data 0.001 (0.002) Loss 2.2218 (2.0869) Prec@1 45.625 (46.593) Prec@5 76.250 (77.092) Epoch: [36][6970/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.2147 (2.0870) Prec@1 50.000 (46.591) Prec@5 73.750 (77.091) Epoch: [36][6980/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 1.9641 (2.0869) Prec@1 47.500 (46.594) Prec@5 76.250 (77.092) Epoch: [36][6990/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 1.8349 (2.0867) Prec@1 50.625 (46.599) Prec@5 80.625 (77.095) Epoch: [36][7000/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 2.2399 (2.0867) Prec@1 44.375 (46.601) Prec@5 73.125 (77.095) Epoch: [36][7010/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 1.9965 (2.0867) Prec@1 50.000 (46.601) Prec@5 79.375 (77.095) Epoch: [36][7020/11272] Time 0.863 (0.800) Data 0.001 (0.002) Loss 2.0787 (2.0867) Prec@1 44.375 (46.601) Prec@5 76.250 (77.095) Epoch: [36][7030/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.2475 (2.0867) Prec@1 41.250 (46.601) Prec@5 74.375 (77.094) Epoch: [36][7040/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.0043 (2.0867) Prec@1 46.250 (46.600) Prec@5 81.875 (77.093) Epoch: [36][7050/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.9909 (2.0868) Prec@1 48.125 (46.601) Prec@5 78.125 (77.092) Epoch: [36][7060/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.1369 (2.0868) Prec@1 41.875 (46.600) Prec@5 77.500 (77.092) Epoch: [36][7070/11272] Time 0.830 (0.800) Data 0.002 (0.002) Loss 2.0386 (2.0869) Prec@1 46.250 (46.596) Prec@5 78.125 (77.088) Epoch: [36][7080/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.9986 (2.0870) Prec@1 50.000 (46.596) Prec@5 78.750 (77.086) Epoch: [36][7090/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.0997 (2.0870) Prec@1 48.750 (46.594) Prec@5 76.875 (77.084) Epoch: [36][7100/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0253 (2.0871) Prec@1 45.625 (46.593) Prec@5 80.000 (77.085) Epoch: [36][7110/11272] Time 0.714 (0.800) Data 0.002 (0.002) Loss 2.1074 (2.0871) Prec@1 44.375 (46.594) Prec@5 80.000 (77.086) Epoch: [36][7120/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.2125 (2.0870) Prec@1 39.375 (46.592) Prec@5 76.250 (77.088) Epoch: [36][7130/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1760 (2.0870) Prec@1 44.375 (46.592) Prec@5 74.375 (77.089) Epoch: [36][7140/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 2.1063 (2.0870) Prec@1 46.875 (46.592) Prec@5 77.500 (77.091) Epoch: [36][7150/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.9926 (2.0870) Prec@1 46.250 (46.589) Prec@5 75.625 (77.090) Epoch: [36][7160/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.3473 (2.0870) Prec@1 43.750 (46.590) Prec@5 69.375 (77.090) Epoch: [36][7170/11272] Time 0.994 (0.800) Data 0.003 (0.002) Loss 2.3143 (2.0870) Prec@1 41.875 (46.590) Prec@5 70.625 (77.089) Epoch: [36][7180/11272] Time 0.877 (0.800) Data 0.001 (0.002) Loss 2.0529 (2.0870) Prec@1 46.875 (46.591) Prec@5 80.625 (77.089) Epoch: [36][7190/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 1.9839 (2.0870) Prec@1 51.875 (46.592) Prec@5 76.875 (77.089) Epoch: [36][7200/11272] Time 0.761 (0.800) Data 0.001 (0.002) Loss 2.2326 (2.0870) Prec@1 46.250 (46.590) Prec@5 74.375 (77.090) Epoch: [36][7210/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.0707 (2.0870) Prec@1 45.000 (46.590) Prec@5 74.375 (77.090) Epoch: [36][7220/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 2.0449 (2.0871) Prec@1 47.500 (46.586) Prec@5 76.875 (77.087) Epoch: [36][7230/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.1079 (2.0871) Prec@1 46.875 (46.585) Prec@5 80.000 (77.089) Epoch: [36][7240/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 1.9615 (2.0872) Prec@1 48.125 (46.583) Prec@5 80.000 (77.089) Epoch: [36][7250/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.1706 (2.0871) Prec@1 38.750 (46.584) Prec@5 74.375 (77.090) Epoch: [36][7260/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.2757 (2.0873) Prec@1 44.375 (46.581) Prec@5 73.750 (77.085) Epoch: [36][7270/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9376 (2.0873) Prec@1 51.250 (46.584) Prec@5 79.375 (77.085) Epoch: [36][7280/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.0698 (2.0874) Prec@1 43.750 (46.579) Prec@5 75.625 (77.083) Epoch: [36][7290/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.3731 (2.0875) Prec@1 38.125 (46.576) Prec@5 72.500 (77.082) Epoch: [36][7300/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.2823 (2.0874) Prec@1 46.250 (46.577) Prec@5 71.875 (77.082) Epoch: [36][7310/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0725 (2.0874) Prec@1 46.250 (46.578) Prec@5 76.875 (77.081) Epoch: [36][7320/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 2.2132 (2.0874) Prec@1 43.750 (46.579) Prec@5 76.250 (77.081) Epoch: [36][7330/11272] Time 0.797 (0.800) Data 0.001 (0.002) Loss 1.8565 (2.0873) Prec@1 56.875 (46.581) Prec@5 78.125 (77.082) Epoch: [36][7340/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.1117 (2.0875) Prec@1 41.250 (46.578) Prec@5 76.250 (77.079) Epoch: [36][7350/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.2182 (2.0875) Prec@1 45.625 (46.577) Prec@5 71.250 (77.077) Epoch: [36][7360/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 1.7699 (2.0874) Prec@1 50.000 (46.579) Prec@5 83.125 (77.080) Epoch: [36][7370/11272] Time 0.731 (0.800) Data 0.003 (0.002) Loss 1.8203 (2.0874) Prec@1 50.000 (46.579) Prec@5 83.750 (77.080) Epoch: [36][7380/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.9873 (2.0874) Prec@1 51.875 (46.579) Prec@5 78.750 (77.081) Epoch: [36][7390/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 2.3486 (2.0874) Prec@1 40.625 (46.579) Prec@5 68.125 (77.077) Epoch: [36][7400/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 2.0014 (2.0874) Prec@1 48.750 (46.580) Prec@5 76.250 (77.078) Epoch: [36][7410/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.3041 (2.0874) Prec@1 43.125 (46.581) Prec@5 73.125 (77.079) Epoch: [36][7420/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 1.8861 (2.0873) Prec@1 55.625 (46.584) Prec@5 79.375 (77.080) Epoch: [36][7430/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.9408 (2.0872) Prec@1 51.875 (46.585) Prec@5 79.375 (77.081) Epoch: [36][7440/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.9904 (2.0871) Prec@1 45.000 (46.586) Prec@5 76.875 (77.082) Epoch: [36][7450/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.2156 (2.0871) Prec@1 46.250 (46.588) Prec@5 74.375 (77.082) Epoch: [36][7460/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.4112 (2.0871) Prec@1 40.625 (46.588) Prec@5 71.875 (77.083) Epoch: [36][7470/11272] Time 0.951 (0.800) Data 0.001 (0.002) Loss 2.0091 (2.0871) Prec@1 46.250 (46.587) Prec@5 79.375 (77.083) Epoch: [36][7480/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 2.0052 (2.0872) Prec@1 46.250 (46.586) Prec@5 78.125 (77.082) Epoch: [36][7490/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.3123 (2.0872) Prec@1 40.000 (46.585) Prec@5 75.000 (77.081) Epoch: [36][7500/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 1.6337 (2.0872) Prec@1 60.000 (46.585) Prec@5 82.500 (77.080) Epoch: [36][7510/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 2.0246 (2.0873) Prec@1 46.875 (46.583) Prec@5 78.750 (77.078) Epoch: [36][7520/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1401 (2.0873) Prec@1 48.750 (46.583) Prec@5 76.875 (77.077) Epoch: [36][7530/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1904 (2.0873) Prec@1 41.875 (46.583) Prec@5 76.250 (77.076) Epoch: [36][7540/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.0645 (2.0873) Prec@1 45.625 (46.581) Prec@5 75.000 (77.078) Epoch: [36][7550/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.1256 (2.0874) Prec@1 45.625 (46.580) Prec@5 77.500 (77.077) Epoch: [36][7560/11272] Time 0.762 (0.800) Data 0.001 (0.002) Loss 2.0404 (2.0874) Prec@1 47.500 (46.582) Prec@5 76.875 (77.078) Epoch: [36][7570/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 2.0263 (2.0872) Prec@1 43.125 (46.584) Prec@5 80.000 (77.080) Epoch: [36][7580/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 1.9997 (2.0873) Prec@1 48.750 (46.585) Prec@5 81.250 (77.081) Epoch: [36][7590/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 1.8170 (2.0872) Prec@1 49.375 (46.585) Prec@5 83.125 (77.082) Epoch: [36][7600/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1209 (2.0871) Prec@1 50.625 (46.588) Prec@5 74.375 (77.084) Epoch: [36][7610/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 2.2704 (2.0872) Prec@1 41.875 (46.587) Prec@5 73.750 (77.080) Epoch: [36][7620/11272] Time 0.903 (0.800) Data 0.002 (0.002) Loss 2.0415 (2.0872) Prec@1 46.875 (46.587) Prec@5 76.250 (77.079) Epoch: [36][7630/11272] Time 0.731 (0.800) Data 0.003 (0.002) Loss 2.2053 (2.0872) Prec@1 47.500 (46.583) Prec@5 76.875 (77.079) Epoch: [36][7640/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.3639 (2.0872) Prec@1 39.375 (46.581) Prec@5 71.875 (77.079) Epoch: [36][7650/11272] Time 0.877 (0.800) Data 0.001 (0.002) Loss 2.0159 (2.0872) Prec@1 49.375 (46.581) Prec@5 81.250 (77.079) Epoch: [36][7660/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.3342 (2.0872) Prec@1 40.000 (46.578) Prec@5 73.750 (77.077) Epoch: [36][7670/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.3360 (2.0873) Prec@1 30.625 (46.577) Prec@5 73.750 (77.076) Epoch: [36][7680/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.3408 (2.0873) Prec@1 41.875 (46.578) Prec@5 71.250 (77.074) Epoch: [36][7690/11272] Time 0.871 (0.800) Data 0.001 (0.002) Loss 2.2046 (2.0873) Prec@1 40.625 (46.578) Prec@5 76.875 (77.076) Epoch: [36][7700/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.1560 (2.0874) Prec@1 48.125 (46.577) Prec@5 75.625 (77.074) Epoch: [36][7710/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.1229 (2.0874) Prec@1 41.875 (46.575) Prec@5 76.875 (77.073) Epoch: [36][7720/11272] Time 0.773 (0.800) Data 0.001 (0.002) Loss 2.2377 (2.0876) Prec@1 38.125 (46.572) Prec@5 76.875 (77.071) Epoch: [36][7730/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 2.2774 (2.0877) Prec@1 40.000 (46.570) Prec@5 73.125 (77.069) Epoch: [36][7740/11272] Time 0.819 (0.800) Data 0.002 (0.002) Loss 1.9536 (2.0876) Prec@1 51.875 (46.571) Prec@5 81.875 (77.070) Epoch: [36][7750/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0656 (2.0875) Prec@1 45.000 (46.571) Prec@5 77.500 (77.073) Epoch: [36][7760/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.0514 (2.0875) Prec@1 46.250 (46.571) Prec@5 76.250 (77.076) Epoch: [36][7770/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 1.9856 (2.0874) Prec@1 49.375 (46.572) Prec@5 80.625 (77.078) Epoch: [36][7780/11272] Time 0.773 (0.800) Data 0.001 (0.002) Loss 2.1544 (2.0874) Prec@1 49.375 (46.569) Prec@5 73.750 (77.078) Epoch: [36][7790/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.1906 (2.0875) Prec@1 44.375 (46.568) Prec@5 74.375 (77.077) Epoch: [36][7800/11272] Time 0.896 (0.800) Data 0.002 (0.002) Loss 2.0416 (2.0874) Prec@1 51.875 (46.571) Prec@5 75.000 (77.078) Epoch: [36][7810/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 2.3109 (2.0874) Prec@1 38.125 (46.568) Prec@5 74.375 (77.076) Epoch: [36][7820/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.2475 (2.0875) Prec@1 37.500 (46.567) Prec@5 74.375 (77.076) Epoch: [36][7830/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0531 (2.0875) Prec@1 45.625 (46.565) Prec@5 77.500 (77.075) Epoch: [36][7840/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 1.9558 (2.0875) Prec@1 50.625 (46.567) Prec@5 80.625 (77.075) Epoch: [36][7850/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.3417 (2.0874) Prec@1 40.000 (46.568) Prec@5 73.125 (77.076) Epoch: [36][7860/11272] Time 0.770 (0.800) Data 0.002 (0.002) Loss 2.0019 (2.0874) Prec@1 45.625 (46.567) Prec@5 79.375 (77.078) Epoch: [36][7870/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.1868 (2.0874) Prec@1 44.375 (46.569) Prec@5 75.000 (77.078) Epoch: [36][7880/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 1.9064 (2.0874) Prec@1 48.125 (46.569) Prec@5 80.625 (77.076) Epoch: [36][7890/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.0724 (2.0874) Prec@1 47.500 (46.570) Prec@5 77.500 (77.075) Epoch: [36][7900/11272] Time 0.720 (0.800) Data 0.002 (0.002) Loss 2.2543 (2.0875) Prec@1 43.750 (46.568) Prec@5 76.875 (77.074) Epoch: [36][7910/11272] Time 0.857 (0.800) Data 0.001 (0.002) Loss 2.2634 (2.0875) Prec@1 41.250 (46.567) Prec@5 75.625 (77.075) Epoch: [36][7920/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0408 (2.0874) Prec@1 47.500 (46.568) Prec@5 76.875 (77.076) Epoch: [36][7930/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.1210 (2.0875) Prec@1 43.750 (46.566) Prec@5 78.125 (77.076) Epoch: [36][7940/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 1.9110 (2.0873) Prec@1 53.125 (46.569) Prec@5 80.000 (77.077) Epoch: [36][7950/11272] Time 0.918 (0.800) Data 0.002 (0.002) Loss 1.8490 (2.0873) Prec@1 54.375 (46.572) Prec@5 80.000 (77.078) Epoch: [36][7960/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.8839 (2.0874) Prec@1 50.000 (46.572) Prec@5 81.875 (77.076) Epoch: [36][7970/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.0061 (2.0874) Prec@1 48.125 (46.571) Prec@5 78.750 (77.075) Epoch: [36][7980/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 1.9882 (2.0874) Prec@1 48.125 (46.570) Prec@5 83.125 (77.075) Epoch: [36][7990/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.2606 (2.0875) Prec@1 41.250 (46.569) Prec@5 71.875 (77.075) Epoch: [36][8000/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1485 (2.0876) Prec@1 48.750 (46.567) Prec@5 75.000 (77.074) Epoch: [36][8010/11272] Time 0.792 (0.800) Data 0.002 (0.002) Loss 2.2294 (2.0877) Prec@1 43.125 (46.565) Prec@5 76.250 (77.072) Epoch: [36][8020/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.1667 (2.0878) Prec@1 45.000 (46.563) Prec@5 76.250 (77.072) Epoch: [36][8030/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.2219 (2.0878) Prec@1 48.125 (46.564) Prec@5 76.250 (77.071) Epoch: [36][8040/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.9500 (2.0877) Prec@1 48.125 (46.563) Prec@5 77.500 (77.072) Epoch: [36][8050/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.9012 (2.0876) Prec@1 50.625 (46.566) Prec@5 81.875 (77.074) Epoch: [36][8060/11272] Time 0.903 (0.801) Data 0.004 (0.002) Loss 1.8819 (2.0877) Prec@1 53.750 (46.564) Prec@5 81.250 (77.073) Epoch: [36][8070/11272] Time 0.902 (0.801) Data 0.005 (0.002) Loss 2.3533 (2.0877) Prec@1 41.250 (46.564) Prec@5 74.375 (77.072) Epoch: [36][8080/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.0487 (2.0877) Prec@1 48.750 (46.562) Prec@5 78.125 (77.074) Epoch: [36][8090/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.0714 (2.0876) Prec@1 50.000 (46.564) Prec@5 76.250 (77.075) Epoch: [36][8100/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 1.8526 (2.0876) Prec@1 46.250 (46.563) Prec@5 85.000 (77.076) Epoch: [36][8110/11272] Time 0.833 (0.801) Data 0.002 (0.002) Loss 2.0774 (2.0876) Prec@1 51.250 (46.565) Prec@5 73.125 (77.074) Epoch: [36][8120/11272] Time 0.761 (0.801) Data 0.002 (0.002) Loss 1.9519 (2.0876) Prec@1 47.500 (46.566) Prec@5 82.500 (77.076) Epoch: [36][8130/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 1.9604 (2.0876) Prec@1 44.375 (46.564) Prec@5 80.625 (77.078) Epoch: [36][8140/11272] Time 0.876 (0.801) Data 0.002 (0.002) Loss 2.0025 (2.0876) Prec@1 50.000 (46.563) Prec@5 78.125 (77.075) Epoch: [36][8150/11272] Time 0.864 (0.801) Data 0.002 (0.002) Loss 2.3835 (2.0877) Prec@1 40.000 (46.561) Prec@5 74.375 (77.074) Epoch: [36][8160/11272] Time 0.735 (0.801) Data 0.001 (0.002) Loss 2.0598 (2.0877) Prec@1 47.500 (46.560) Prec@5 79.375 (77.075) Epoch: [36][8170/11272] Time 0.906 (0.801) Data 0.002 (0.002) Loss 2.1429 (2.0877) Prec@1 41.250 (46.558) Prec@5 78.125 (77.075) Epoch: [36][8180/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 2.1096 (2.0877) Prec@1 48.125 (46.561) Prec@5 77.500 (77.077) Epoch: [36][8190/11272] Time 0.804 (0.801) Data 0.002 (0.002) Loss 2.0206 (2.0876) Prec@1 46.250 (46.562) Prec@5 81.250 (77.078) Epoch: [36][8200/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.1357 (2.0877) Prec@1 46.250 (46.559) Prec@5 76.875 (77.076) Epoch: [36][8210/11272] Time 0.864 (0.801) Data 0.002 (0.002) Loss 1.9742 (2.0877) Prec@1 47.500 (46.559) Prec@5 81.250 (77.078) Epoch: [36][8220/11272] Time 0.841 (0.801) Data 0.002 (0.002) Loss 2.1401 (2.0877) Prec@1 49.375 (46.558) Prec@5 75.000 (77.078) Epoch: [36][8230/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 2.2782 (2.0877) Prec@1 40.000 (46.559) Prec@5 70.000 (77.079) Epoch: [36][8240/11272] Time 0.725 (0.801) Data 0.002 (0.002) Loss 2.0355 (2.0876) Prec@1 50.000 (46.560) Prec@5 78.125 (77.079) Epoch: [36][8250/11272] Time 0.895 (0.801) Data 0.002 (0.002) Loss 2.0764 (2.0875) Prec@1 50.000 (46.560) Prec@5 77.500 (77.081) Epoch: [36][8260/11272] Time 0.833 (0.801) Data 0.002 (0.002) Loss 2.1449 (2.0875) Prec@1 46.250 (46.560) Prec@5 79.375 (77.079) Epoch: [36][8270/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.0046 (2.0876) Prec@1 48.750 (46.560) Prec@5 80.000 (77.079) Epoch: [36][8280/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.3291 (2.0876) Prec@1 41.875 (46.558) Prec@5 72.500 (77.077) Epoch: [36][8290/11272] Time 0.860 (0.801) Data 0.001 (0.002) Loss 2.0068 (2.0876) Prec@1 48.750 (46.559) Prec@5 76.875 (77.078) Epoch: [36][8300/11272] Time 0.796 (0.801) Data 0.002 (0.002) Loss 2.3958 (2.0877) Prec@1 38.750 (46.558) Prec@5 67.500 (77.075) Epoch: [36][8310/11272] Time 0.788 (0.801) Data 0.002 (0.002) Loss 2.0379 (2.0878) Prec@1 45.000 (46.556) Prec@5 78.750 (77.075) Epoch: [36][8320/11272] Time 0.871 (0.801) Data 0.002 (0.002) Loss 2.1719 (2.0878) Prec@1 41.875 (46.555) Prec@5 75.000 (77.074) Epoch: [36][8330/11272] Time 0.856 (0.801) Data 0.002 (0.002) Loss 2.1550 (2.0879) Prec@1 41.875 (46.553) Prec@5 80.000 (77.071) Epoch: [36][8340/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.9561 (2.0879) Prec@1 51.875 (46.555) Prec@5 80.625 (77.074) Epoch: [36][8350/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 1.8631 (2.0879) Prec@1 48.750 (46.555) Prec@5 80.000 (77.073) Epoch: [36][8360/11272] Time 0.844 (0.801) Data 0.002 (0.002) Loss 1.9746 (2.0878) Prec@1 42.500 (46.556) Prec@5 76.875 (77.074) Epoch: [36][8370/11272] Time 0.854 (0.801) Data 0.001 (0.002) Loss 1.9595 (2.0879) Prec@1 50.000 (46.555) Prec@5 82.500 (77.073) Epoch: [36][8380/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 2.1065 (2.0879) Prec@1 44.375 (46.554) Prec@5 76.250 (77.072) Epoch: [36][8390/11272] Time 0.755 (0.801) Data 0.002 (0.002) Loss 2.2854 (2.0879) Prec@1 41.875 (46.552) Prec@5 75.000 (77.071) Epoch: [36][8400/11272] Time 0.922 (0.801) Data 0.002 (0.002) Loss 2.1393 (2.0880) Prec@1 40.000 (46.550) Prec@5 74.375 (77.069) Epoch: [36][8410/11272] Time 0.866 (0.801) Data 0.002 (0.002) Loss 2.1378 (2.0880) Prec@1 45.625 (46.550) Prec@5 76.875 (77.068) Epoch: [36][8420/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 2.0800 (2.0880) Prec@1 41.250 (46.549) Prec@5 80.625 (77.069) Epoch: [36][8430/11272] Time 0.828 (0.801) Data 0.001 (0.002) Loss 2.2049 (2.0881) Prec@1 44.375 (46.549) Prec@5 73.125 (77.069) Epoch: [36][8440/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.1234 (2.0880) Prec@1 41.250 (46.548) Prec@5 76.875 (77.070) Epoch: [36][8450/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 2.1181 (2.0881) Prec@1 53.125 (46.547) Prec@5 78.750 (77.069) Epoch: [36][8460/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.0294 (2.0881) Prec@1 50.625 (46.547) Prec@5 79.375 (77.069) Epoch: [36][8470/11272] Time 0.891 (0.801) Data 0.002 (0.002) Loss 1.8642 (2.0881) Prec@1 53.750 (46.549) Prec@5 81.250 (77.069) Epoch: [36][8480/11272] Time 0.810 (0.801) Data 0.002 (0.002) Loss 1.9897 (2.0881) Prec@1 46.875 (46.548) Prec@5 79.375 (77.070) Epoch: [36][8490/11272] Time 0.745 (0.801) Data 0.002 (0.002) Loss 2.1584 (2.0881) Prec@1 41.875 (46.546) Prec@5 78.125 (77.071) Epoch: [36][8500/11272] Time 0.745 (0.801) Data 0.002 (0.002) Loss 2.2203 (2.0881) Prec@1 43.750 (46.546) Prec@5 73.750 (77.070) Epoch: [36][8510/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.1822 (2.0882) Prec@1 42.500 (46.544) Prec@5 76.875 (77.070) Epoch: [36][8520/11272] Time 0.874 (0.801) Data 0.002 (0.002) Loss 2.3267 (2.0884) Prec@1 43.750 (46.541) Prec@5 71.875 (77.066) Epoch: [36][8530/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.2860 (2.0884) Prec@1 41.250 (46.541) Prec@5 76.250 (77.065) Epoch: [36][8540/11272] Time 0.771 (0.801) Data 0.002 (0.002) Loss 2.5071 (2.0885) Prec@1 35.625 (46.540) Prec@5 66.875 (77.064) Epoch: [36][8550/11272] Time 0.899 (0.801) Data 0.002 (0.002) Loss 1.9928 (2.0885) Prec@1 45.625 (46.539) Prec@5 80.625 (77.065) Epoch: [36][8560/11272] Time 0.727 (0.801) Data 0.003 (0.002) Loss 2.0264 (2.0885) Prec@1 50.625 (46.540) Prec@5 75.625 (77.064) Epoch: [36][8570/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.9936 (2.0885) Prec@1 53.125 (46.539) Prec@5 81.875 (77.066) Epoch: [36][8580/11272] Time 0.839 (0.801) Data 0.002 (0.002) Loss 2.2535 (2.0887) Prec@1 41.875 (46.537) Prec@5 73.750 (77.064) Epoch: [36][8590/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.2018 (2.0886) Prec@1 45.000 (46.539) Prec@5 76.875 (77.064) Epoch: [36][8600/11272] Time 0.755 (0.801) Data 0.002 (0.002) Loss 2.3070 (2.0887) Prec@1 41.250 (46.539) Prec@5 76.875 (77.064) Epoch: [36][8610/11272] Time 0.786 (0.801) Data 0.002 (0.002) Loss 1.8622 (2.0887) Prec@1 51.875 (46.538) Prec@5 80.625 (77.064) Epoch: [36][8620/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 2.1442 (2.0887) Prec@1 41.875 (46.538) Prec@5 78.750 (77.062) Epoch: [36][8630/11272] Time 0.869 (0.801) Data 0.002 (0.002) Loss 2.0532 (2.0887) Prec@1 49.375 (46.539) Prec@5 79.375 (77.062) Epoch: [36][8640/11272] Time 0.758 (0.801) Data 0.003 (0.002) Loss 2.1453 (2.0888) Prec@1 46.875 (46.536) Prec@5 73.750 (77.061) Epoch: [36][8650/11272] Time 0.726 (0.801) Data 0.002 (0.002) Loss 2.1170 (2.0889) Prec@1 45.000 (46.534) Prec@5 77.500 (77.058) Epoch: [36][8660/11272] Time 0.868 (0.801) Data 0.002 (0.002) Loss 2.4287 (2.0890) Prec@1 41.250 (46.532) Prec@5 74.375 (77.056) Epoch: [36][8670/11272] Time 0.899 (0.801) Data 0.001 (0.002) Loss 2.0950 (2.0890) Prec@1 48.125 (46.532) Prec@5 76.875 (77.057) Epoch: [36][8680/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 2.1649 (2.0890) Prec@1 45.000 (46.531) Prec@5 76.875 (77.057) Epoch: [36][8690/11272] Time 0.864 (0.801) Data 0.002 (0.002) Loss 2.1503 (2.0891) Prec@1 43.125 (46.530) Prec@5 77.500 (77.055) Epoch: [36][8700/11272] Time 0.849 (0.801) Data 0.002 (0.002) Loss 1.9749 (2.0891) Prec@1 50.625 (46.529) Prec@5 76.250 (77.055) Epoch: [36][8710/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 1.9098 (2.0891) Prec@1 48.125 (46.530) Prec@5 78.125 (77.055) Epoch: [36][8720/11272] Time 0.764 (0.801) Data 0.002 (0.002) Loss 2.1605 (2.0891) Prec@1 46.250 (46.531) Prec@5 79.375 (77.056) Epoch: [36][8730/11272] Time 0.829 (0.801) Data 0.001 (0.002) Loss 2.0501 (2.0891) Prec@1 48.750 (46.531) Prec@5 76.875 (77.056) Epoch: [36][8740/11272] Time 0.873 (0.801) Data 0.001 (0.002) Loss 2.2102 (2.0891) Prec@1 43.125 (46.529) Prec@5 75.625 (77.055) Epoch: [36][8750/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 1.9577 (2.0891) Prec@1 50.000 (46.529) Prec@5 78.125 (77.055) Epoch: [36][8760/11272] Time 0.793 (0.801) Data 0.002 (0.002) Loss 2.0388 (2.0890) Prec@1 46.875 (46.530) Prec@5 79.375 (77.056) Epoch: [36][8770/11272] Time 0.874 (0.801) Data 0.002 (0.002) Loss 2.1180 (2.0891) Prec@1 45.000 (46.529) Prec@5 75.625 (77.055) Epoch: [36][8780/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 2.2237 (2.0890) Prec@1 45.625 (46.529) Prec@5 77.500 (77.056) Epoch: [36][8790/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 2.3085 (2.0890) Prec@1 41.875 (46.527) Prec@5 76.250 (77.056) Epoch: [36][8800/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 2.1952 (2.0890) Prec@1 42.500 (46.529) Prec@5 73.750 (77.056) Epoch: [36][8810/11272] Time 0.915 (0.801) Data 0.002 (0.002) Loss 2.1203 (2.0890) Prec@1 45.625 (46.528) Prec@5 78.750 (77.056) Epoch: [36][8820/11272] Time 0.875 (0.801) Data 0.002 (0.002) Loss 2.0942 (2.0891) Prec@1 45.625 (46.526) Prec@5 74.375 (77.054) Epoch: [36][8830/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 2.0075 (2.0890) Prec@1 46.250 (46.525) Prec@5 80.625 (77.055) Epoch: [36][8840/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.2763 (2.0890) Prec@1 36.875 (46.524) Prec@5 72.500 (77.055) Epoch: [36][8850/11272] Time 0.861 (0.801) Data 0.002 (0.002) Loss 2.0951 (2.0889) Prec@1 47.500 (46.524) Prec@5 78.750 (77.057) Epoch: [36][8860/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.1746 (2.0889) Prec@1 46.250 (46.526) Prec@5 75.000 (77.056) Epoch: [36][8870/11272] Time 0.723 (0.801) Data 0.002 (0.002) Loss 1.7714 (2.0888) Prec@1 49.375 (46.528) Prec@5 84.375 (77.059) Epoch: [36][8880/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 2.0595 (2.0887) Prec@1 46.875 (46.529) Prec@5 75.625 (77.060) Epoch: [36][8890/11272] Time 0.890 (0.801) Data 0.001 (0.002) Loss 2.0693 (2.0888) Prec@1 45.000 (46.529) Prec@5 76.875 (77.060) Epoch: [36][8900/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 2.2116 (2.0888) Prec@1 44.375 (46.529) Prec@5 73.125 (77.059) Epoch: [36][8910/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 2.1389 (2.0888) Prec@1 46.875 (46.528) Prec@5 74.375 (77.060) Epoch: [36][8920/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.2643 (2.0889) Prec@1 47.500 (46.526) Prec@5 72.500 (77.058) Epoch: [36][8930/11272] Time 0.855 (0.801) Data 0.002 (0.002) Loss 1.9347 (2.0889) Prec@1 50.625 (46.525) Prec@5 75.625 (77.057) Epoch: [36][8940/11272] Time 0.741 (0.801) Data 0.002 (0.002) Loss 2.1896 (2.0890) Prec@1 43.750 (46.525) Prec@5 76.250 (77.057) Epoch: [36][8950/11272] Time 0.753 (0.801) Data 0.002 (0.002) Loss 1.9541 (2.0890) Prec@1 51.875 (46.525) Prec@5 81.875 (77.056) Epoch: [36][8960/11272] Time 0.841 (0.801) Data 0.002 (0.002) Loss 2.0234 (2.0890) Prec@1 51.875 (46.524) Prec@5 73.125 (77.058) Epoch: [36][8970/11272] Time 0.740 (0.801) Data 0.001 (0.002) Loss 1.8314 (2.0889) Prec@1 55.625 (46.525) Prec@5 80.625 (77.058) Epoch: [36][8980/11272] Time 0.767 (0.801) Data 0.002 (0.002) Loss 1.6606 (2.0888) Prec@1 56.250 (46.526) Prec@5 85.000 (77.059) Epoch: [36][8990/11272] Time 0.882 (0.801) Data 0.002 (0.002) Loss 2.2618 (2.0889) Prec@1 45.000 (46.526) Prec@5 74.375 (77.057) Epoch: [36][9000/11272] Time 0.849 (0.801) Data 0.002 (0.002) Loss 2.1523 (2.0890) Prec@1 45.625 (46.521) Prec@5 76.250 (77.055) Epoch: [36][9010/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 2.2719 (2.0891) Prec@1 45.625 (46.519) Prec@5 75.625 (77.054) Epoch: [36][9020/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 1.9508 (2.0891) Prec@1 49.375 (46.520) Prec@5 79.375 (77.055) Epoch: [36][9030/11272] Time 0.908 (0.801) Data 0.001 (0.002) Loss 1.8904 (2.0890) Prec@1 58.750 (46.522) Prec@5 79.375 (77.056) Epoch: [36][9040/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.0359 (2.0890) Prec@1 47.500 (46.524) Prec@5 77.500 (77.056) Epoch: [36][9050/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 2.1600 (2.0890) Prec@1 46.875 (46.524) Prec@5 80.000 (77.057) Epoch: [36][9060/11272] Time 0.756 (0.801) Data 0.002 (0.002) Loss 2.1925 (2.0890) Prec@1 47.500 (46.523) Prec@5 73.125 (77.057) Epoch: [36][9070/11272] Time 0.869 (0.801) Data 0.002 (0.002) Loss 2.0807 (2.0891) Prec@1 45.625 (46.521) Prec@5 76.250 (77.056) Epoch: [36][9080/11272] Time 0.841 (0.801) Data 0.001 (0.002) Loss 2.3660 (2.0892) Prec@1 40.000 (46.519) Prec@5 70.625 (77.055) Epoch: [36][9090/11272] Time 0.749 (0.801) Data 0.001 (0.002) Loss 2.2949 (2.0893) Prec@1 45.000 (46.515) Prec@5 76.250 (77.053) Epoch: [36][9100/11272] Time 0.870 (0.801) Data 0.001 (0.002) Loss 1.8439 (2.0894) Prec@1 49.375 (46.514) Prec@5 80.000 (77.052) Epoch: [36][9110/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 1.9049 (2.0894) Prec@1 54.375 (46.513) Prec@5 78.125 (77.050) Epoch: [36][9120/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 2.0280 (2.0894) Prec@1 53.125 (46.512) Prec@5 78.125 (77.051) Epoch: [36][9130/11272] Time 0.803 (0.801) Data 0.002 (0.002) Loss 2.0969 (2.0894) Prec@1 43.125 (46.510) Prec@5 78.750 (77.052) Epoch: [36][9140/11272] Time 0.819 (0.801) Data 0.001 (0.002) Loss 2.1593 (2.0895) Prec@1 44.375 (46.508) Prec@5 73.125 (77.051) Epoch: [36][9150/11272] Time 0.836 (0.801) Data 0.002 (0.002) Loss 2.1590 (2.0895) Prec@1 41.250 (46.509) Prec@5 72.500 (77.050) Epoch: [36][9160/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.3057 (2.0895) Prec@1 43.750 (46.508) Prec@5 74.375 (77.050) Epoch: [36][9170/11272] Time 0.732 (0.801) Data 0.001 (0.002) Loss 2.1585 (2.0895) Prec@1 46.250 (46.508) Prec@5 75.625 (77.052) Epoch: [36][9180/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 2.2660 (2.0896) Prec@1 44.375 (46.508) Prec@5 71.875 (77.050) Epoch: [36][9190/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 1.9602 (2.0896) Prec@1 46.875 (46.507) Prec@5 80.625 (77.049) Epoch: [36][9200/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 1.9488 (2.0896) Prec@1 53.125 (46.509) Prec@5 80.625 (77.051) Epoch: [36][9210/11272] Time 0.738 (0.802) Data 0.003 (0.002) Loss 2.1726 (2.0896) Prec@1 45.000 (46.509) Prec@5 73.125 (77.050) Epoch: [36][9220/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 1.8843 (2.0895) Prec@1 49.375 (46.509) Prec@5 83.750 (77.052) Epoch: [36][9230/11272] Time 0.776 (0.802) Data 0.004 (0.002) Loss 2.1566 (2.0895) Prec@1 50.000 (46.512) Prec@5 77.500 (77.052) Epoch: [36][9240/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 1.9915 (2.0895) Prec@1 49.375 (46.512) Prec@5 78.125 (77.053) Epoch: [36][9250/11272] Time 0.870 (0.802) Data 0.001 (0.002) Loss 2.4192 (2.0895) Prec@1 44.375 (46.512) Prec@5 70.625 (77.052) Epoch: [36][9260/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 2.0490 (2.0897) Prec@1 49.375 (46.510) Prec@5 81.250 (77.050) Epoch: [36][9270/11272] Time 0.721 (0.802) Data 0.002 (0.002) Loss 2.2174 (2.0897) Prec@1 47.500 (46.509) Prec@5 74.375 (77.049) Epoch: [36][9280/11272] Time 0.713 (0.802) Data 0.002 (0.002) Loss 1.8927 (2.0897) Prec@1 46.875 (46.510) Prec@5 81.875 (77.050) Epoch: [36][9290/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 1.8446 (2.0897) Prec@1 51.875 (46.510) Prec@5 80.000 (77.050) Epoch: [36][9300/11272] Time 0.856 (0.802) Data 0.002 (0.002) Loss 1.8643 (2.0897) Prec@1 46.875 (46.511) Prec@5 81.250 (77.050) Epoch: [36][9310/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.3226 (2.0898) Prec@1 43.750 (46.510) Prec@5 75.000 (77.048) Epoch: [36][9320/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.1751 (2.0898) Prec@1 45.000 (46.511) Prec@5 75.625 (77.048) Epoch: [36][9330/11272] Time 0.849 (0.802) Data 0.001 (0.002) Loss 2.0069 (2.0898) Prec@1 43.125 (46.511) Prec@5 81.250 (77.049) Epoch: [36][9340/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 2.1124 (2.0897) Prec@1 43.125 (46.511) Prec@5 76.250 (77.047) Epoch: [36][9350/11272] Time 0.752 (0.802) Data 0.002 (0.002) Loss 2.1181 (2.0898) Prec@1 43.750 (46.509) Prec@5 77.500 (77.046) Epoch: [36][9360/11272] Time 0.882 (0.802) Data 0.001 (0.002) Loss 1.8462 (2.0898) Prec@1 51.250 (46.510) Prec@5 81.875 (77.047) Epoch: [36][9370/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 1.8814 (2.0898) Prec@1 48.750 (46.509) Prec@5 78.750 (77.047) Epoch: [36][9380/11272] Time 0.787 (0.802) Data 0.001 (0.002) Loss 1.9743 (2.0897) Prec@1 52.500 (46.511) Prec@5 80.000 (77.048) Epoch: [36][9390/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.8816 (2.0898) Prec@1 47.500 (46.510) Prec@5 81.875 (77.047) Epoch: [36][9400/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 1.9590 (2.0898) Prec@1 46.250 (46.509) Prec@5 78.750 (77.047) Epoch: [36][9410/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 2.1621 (2.0898) Prec@1 42.500 (46.509) Prec@5 76.250 (77.048) Epoch: [36][9420/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 2.2932 (2.0898) Prec@1 38.750 (46.507) Prec@5 76.250 (77.047) Epoch: [36][9430/11272] Time 0.783 (0.802) Data 0.002 (0.002) Loss 2.0196 (2.0899) Prec@1 50.000 (46.505) Prec@5 78.750 (77.046) Epoch: [36][9440/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 2.2650 (2.0899) Prec@1 42.500 (46.506) Prec@5 72.500 (77.047) Epoch: [36][9450/11272] Time 0.910 (0.802) Data 0.001 (0.002) Loss 2.2810 (2.0899) Prec@1 40.625 (46.504) Prec@5 75.000 (77.047) Epoch: [36][9460/11272] Time 0.754 (0.802) Data 0.003 (0.002) Loss 2.2038 (2.0900) Prec@1 46.250 (46.505) Prec@5 75.000 (77.046) Epoch: [36][9470/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.2378 (2.0900) Prec@1 41.875 (46.504) Prec@5 79.375 (77.045) Epoch: [36][9480/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 2.2152 (2.0900) Prec@1 41.875 (46.504) Prec@5 71.250 (77.044) Epoch: [36][9490/11272] Time 0.740 (0.802) Data 0.003 (0.002) Loss 2.1150 (2.0901) Prec@1 48.125 (46.503) Prec@5 74.375 (77.044) Epoch: [36][9500/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.5032 (2.0900) Prec@1 36.875 (46.504) Prec@5 68.125 (77.044) Epoch: [36][9510/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 2.0235 (2.0900) Prec@1 47.500 (46.504) Prec@5 75.625 (77.046) Epoch: [36][9520/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 2.2008 (2.0900) Prec@1 42.500 (46.504) Prec@5 76.250 (77.047) Epoch: [36][9530/11272] Time 0.760 (0.802) Data 0.002 (0.002) Loss 2.0662 (2.0900) Prec@1 48.750 (46.503) Prec@5 81.250 (77.049) Epoch: [36][9540/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 2.1184 (2.0900) Prec@1 45.625 (46.502) Prec@5 76.875 (77.049) Epoch: [36][9550/11272] Time 0.865 (0.802) Data 0.001 (0.002) Loss 2.3388 (2.0900) Prec@1 39.375 (46.502) Prec@5 73.750 (77.048) Epoch: [36][9560/11272] Time 0.898 (0.802) Data 0.002 (0.002) Loss 2.0934 (2.0900) Prec@1 45.000 (46.502) Prec@5 77.500 (77.048) Epoch: [36][9570/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 1.9872 (2.0900) Prec@1 46.875 (46.503) Prec@5 79.375 (77.049) Epoch: [36][9580/11272] Time 0.745 (0.802) Data 0.001 (0.002) Loss 2.0043 (2.0901) Prec@1 50.000 (46.500) Prec@5 78.750 (77.048) Epoch: [36][9590/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 2.2057 (2.0901) Prec@1 45.625 (46.500) Prec@5 80.000 (77.049) Epoch: [36][9600/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 1.8934 (2.0901) Prec@1 47.500 (46.500) Prec@5 81.250 (77.050) Epoch: [36][9610/11272] Time 0.740 (0.802) Data 0.001 (0.002) Loss 2.1226 (2.0901) Prec@1 43.750 (46.501) Prec@5 76.250 (77.049) Epoch: [36][9620/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 2.0385 (2.0901) Prec@1 44.375 (46.501) Prec@5 78.750 (77.049) Epoch: [36][9630/11272] Time 0.862 (0.802) Data 0.002 (0.002) Loss 1.9210 (2.0901) Prec@1 47.500 (46.500) Prec@5 80.000 (77.050) Epoch: [36][9640/11272] Time 0.742 (0.802) Data 0.001 (0.002) Loss 2.0611 (2.0900) Prec@1 46.875 (46.499) Prec@5 78.750 (77.050) Epoch: [36][9650/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 2.1982 (2.0900) Prec@1 45.625 (46.501) Prec@5 74.375 (77.049) Epoch: [36][9660/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.0338 (2.0901) Prec@1 48.750 (46.502) Prec@5 77.500 (77.049) Epoch: [36][9670/11272] Time 0.818 (0.802) Data 0.002 (0.002) Loss 2.2807 (2.0901) Prec@1 45.625 (46.503) Prec@5 79.375 (77.048) Epoch: [36][9680/11272] Time 0.768 (0.802) Data 0.001 (0.002) Loss 2.1099 (2.0902) Prec@1 42.500 (46.501) Prec@5 75.000 (77.046) Epoch: [36][9690/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.2985 (2.0902) Prec@1 46.875 (46.500) Prec@5 75.625 (77.046) Epoch: [36][9700/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 1.9252 (2.0902) Prec@1 53.750 (46.500) Prec@5 76.875 (77.044) Epoch: [36][9710/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 2.0913 (2.0902) Prec@1 48.125 (46.502) Prec@5 76.250 (77.046) Epoch: [36][9720/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 2.0980 (2.0901) Prec@1 46.250 (46.502) Prec@5 76.250 (77.047) Epoch: [36][9730/11272] Time 0.768 (0.802) Data 0.002 (0.002) Loss 2.1839 (2.0902) Prec@1 43.750 (46.501) Prec@5 77.500 (77.045) Epoch: [36][9740/11272] Time 0.836 (0.802) Data 0.001 (0.002) Loss 2.0611 (2.0901) Prec@1 48.750 (46.500) Prec@5 81.875 (77.047) Epoch: [36][9750/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.3685 (2.0903) Prec@1 45.000 (46.498) Prec@5 72.500 (77.044) Epoch: [36][9760/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 2.0422 (2.0903) Prec@1 44.375 (46.497) Prec@5 76.875 (77.044) Epoch: [36][9770/11272] Time 0.864 (0.802) Data 0.002 (0.002) Loss 1.9950 (2.0903) Prec@1 50.625 (46.497) Prec@5 78.125 (77.043) Epoch: [36][9780/11272] Time 0.912 (0.802) Data 0.002 (0.002) Loss 1.9448 (2.0902) Prec@1 50.000 (46.497) Prec@5 79.375 (77.043) Epoch: [36][9790/11272] Time 0.754 (0.802) Data 0.002 (0.002) Loss 1.8772 (2.0902) Prec@1 51.875 (46.498) Prec@5 78.125 (77.043) Epoch: [36][9800/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 2.1195 (2.0903) Prec@1 45.625 (46.497) Prec@5 78.125 (77.042) Epoch: [36][9810/11272] Time 0.838 (0.802) Data 0.002 (0.002) Loss 2.2139 (2.0902) Prec@1 42.500 (46.498) Prec@5 73.125 (77.044) Epoch: [36][9820/11272] Time 0.910 (0.802) Data 0.002 (0.002) Loss 2.0746 (2.0902) Prec@1 48.750 (46.498) Prec@5 75.000 (77.044) Epoch: [36][9830/11272] Time 0.773 (0.802) Data 0.002 (0.002) Loss 2.1470 (2.0903) Prec@1 47.500 (46.496) Prec@5 75.625 (77.042) Epoch: [36][9840/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 2.1163 (2.0903) Prec@1 48.125 (46.496) Prec@5 75.000 (77.041) Epoch: [36][9850/11272] Time 0.871 (0.802) Data 0.002 (0.002) Loss 2.1623 (2.0903) Prec@1 46.875 (46.497) Prec@5 71.250 (77.041) Epoch: [36][9860/11272] Time 0.886 (0.802) Data 0.001 (0.002) Loss 2.1153 (2.0904) Prec@1 46.875 (46.495) Prec@5 76.875 (77.041) Epoch: [36][9870/11272] Time 0.754 (0.802) Data 0.001 (0.002) Loss 2.1040 (2.0904) Prec@1 49.375 (46.497) Prec@5 74.375 (77.040) Epoch: [36][9880/11272] Time 0.756 (0.802) Data 0.002 (0.002) Loss 2.0628 (2.0904) Prec@1 40.625 (46.497) Prec@5 79.375 (77.039) Epoch: [36][9890/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.1548 (2.0904) Prec@1 49.375 (46.498) Prec@5 74.375 (77.038) Epoch: [36][9900/11272] Time 0.787 (0.802) Data 0.001 (0.002) Loss 1.7617 (2.0904) Prec@1 52.500 (46.499) Prec@5 83.750 (77.039) Epoch: [36][9910/11272] Time 0.809 (0.802) Data 0.002 (0.002) Loss 1.7863 (2.0904) Prec@1 54.375 (46.499) Prec@5 80.000 (77.038) Epoch: [36][9920/11272] Time 0.888 (0.802) Data 0.002 (0.002) Loss 1.9763 (2.0905) Prec@1 48.125 (46.497) Prec@5 80.000 (77.036) Epoch: [36][9930/11272] Time 0.842 (0.802) Data 0.002 (0.002) Loss 2.2709 (2.0905) Prec@1 41.875 (46.499) Prec@5 76.250 (77.036) Epoch: [36][9940/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.8409 (2.0904) Prec@1 54.375 (46.501) Prec@5 79.375 (77.038) Epoch: [36][9950/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 2.1447 (2.0905) Prec@1 40.625 (46.501) Prec@5 77.500 (77.039) Epoch: [36][9960/11272] Time 0.869 (0.802) Data 0.002 (0.002) Loss 2.0318 (2.0905) Prec@1 47.500 (46.499) Prec@5 79.375 (77.038) Epoch: [36][9970/11272] Time 0.812 (0.802) Data 0.002 (0.002) Loss 2.0463 (2.0905) Prec@1 46.250 (46.499) Prec@5 79.375 (77.038) Epoch: [36][9980/11272] Time 0.762 (0.802) Data 0.002 (0.002) Loss 2.2540 (2.0906) Prec@1 45.625 (46.498) Prec@5 71.250 (77.037) Epoch: [36][9990/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 1.9766 (2.0906) Prec@1 45.625 (46.497) Prec@5 83.125 (77.036) Epoch: [36][10000/11272] Time 0.973 (0.802) Data 0.002 (0.002) Loss 2.3690 (2.0907) Prec@1 41.250 (46.496) Prec@5 71.875 (77.034) Epoch: [36][10010/11272] Time 0.938 (0.802) Data 0.002 (0.002) Loss 2.0007 (2.0906) Prec@1 46.875 (46.499) Prec@5 82.500 (77.036) Epoch: [36][10020/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.0622 (2.0906) Prec@1 43.750 (46.500) Prec@5 76.875 (77.037) Epoch: [36][10030/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.1675 (2.0907) Prec@1 46.250 (46.497) Prec@5 73.125 (77.035) Epoch: [36][10040/11272] Time 0.859 (0.802) Data 0.001 (0.002) Loss 1.9447 (2.0907) Prec@1 44.375 (46.497) Prec@5 80.625 (77.036) Epoch: [36][10050/11272] Time 0.763 (0.802) Data 0.002 (0.002) Loss 2.0815 (2.0908) Prec@1 43.750 (46.495) Prec@5 77.500 (77.035) Epoch: [36][10060/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.9845 (2.0907) Prec@1 48.750 (46.496) Prec@5 81.250 (77.036) Epoch: [36][10070/11272] Time 0.870 (0.802) Data 0.001 (0.002) Loss 2.3405 (2.0907) Prec@1 40.625 (46.495) Prec@5 74.375 (77.036) Epoch: [36][10080/11272] Time 0.882 (0.802) Data 0.002 (0.002) Loss 2.2847 (2.0907) Prec@1 41.250 (46.495) Prec@5 71.875 (77.036) Epoch: [36][10090/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 2.0744 (2.0907) Prec@1 48.125 (46.493) Prec@5 78.125 (77.036) Epoch: [36][10100/11272] Time 0.719 (0.802) Data 0.002 (0.002) Loss 2.1539 (2.0907) Prec@1 43.750 (46.495) Prec@5 74.375 (77.036) Epoch: [36][10110/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 2.1823 (2.0908) Prec@1 42.500 (46.493) Prec@5 73.125 (77.034) Epoch: [36][10120/11272] Time 0.872 (0.802) Data 0.001 (0.002) Loss 2.1883 (2.0909) Prec@1 45.625 (46.492) Prec@5 75.625 (77.033) Epoch: [36][10130/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 2.2761 (2.0909) Prec@1 46.250 (46.493) Prec@5 76.250 (77.034) Epoch: [36][10140/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 2.3422 (2.0909) Prec@1 40.000 (46.490) Prec@5 71.875 (77.034) Epoch: [36][10150/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 1.7699 (2.0909) Prec@1 53.750 (46.493) Prec@5 81.875 (77.035) Epoch: [36][10160/11272] Time 0.733 (0.802) Data 0.004 (0.002) Loss 2.1262 (2.0909) Prec@1 43.750 (46.491) Prec@5 78.750 (77.035) Epoch: [36][10170/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 1.8948 (2.0909) Prec@1 50.000 (46.492) Prec@5 80.000 (77.035) Epoch: [36][10180/11272] Time 0.883 (0.802) Data 0.003 (0.002) Loss 2.0175 (2.0909) Prec@1 53.750 (46.493) Prec@5 79.375 (77.035) Epoch: [36][10190/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.0636 (2.0909) Prec@1 41.875 (46.493) Prec@5 80.000 (77.035) Epoch: [36][10200/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 2.0926 (2.0909) Prec@1 48.750 (46.494) Prec@5 79.375 (77.036) Epoch: [36][10210/11272] Time 0.751 (0.802) Data 0.002 (0.002) Loss 2.1417 (2.0908) Prec@1 47.500 (46.495) Prec@5 75.625 (77.035) Epoch: [36][10220/11272] Time 0.860 (0.802) Data 0.001 (0.002) Loss 1.8630 (2.0909) Prec@1 46.250 (46.493) Prec@5 80.625 (77.035) Epoch: [36][10230/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.2420 (2.0910) Prec@1 40.000 (46.491) Prec@5 78.125 (77.033) Epoch: [36][10240/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 1.9338 (2.0910) Prec@1 48.125 (46.490) Prec@5 81.875 (77.034) Epoch: [36][10250/11272] Time 0.765 (0.802) Data 0.002 (0.002) Loss 1.8991 (2.0909) Prec@1 53.125 (46.491) Prec@5 78.750 (77.034) Epoch: [36][10260/11272] Time 0.884 (0.802) Data 0.001 (0.002) Loss 2.0808 (2.0909) Prec@1 44.375 (46.491) Prec@5 75.625 (77.035) Epoch: [36][10270/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.1978 (2.0909) Prec@1 42.500 (46.489) Prec@5 77.500 (77.035) Epoch: [36][10280/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.3385 (2.0909) Prec@1 41.250 (46.489) Prec@5 72.500 (77.036) Epoch: [36][10290/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 2.2162 (2.0909) Prec@1 45.000 (46.490) Prec@5 76.250 (77.036) Epoch: [36][10300/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 2.1695 (2.0909) Prec@1 45.625 (46.488) Prec@5 74.375 (77.035) Epoch: [36][10310/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.2151 (2.0910) Prec@1 45.000 (46.488) Prec@5 70.625 (77.035) Epoch: [36][10320/11272] Time 0.777 (0.802) Data 0.001 (0.002) Loss 2.1039 (2.0909) Prec@1 48.125 (46.489) Prec@5 73.750 (77.035) Epoch: [36][10330/11272] Time 0.921 (0.802) Data 0.002 (0.002) Loss 2.0713 (2.0910) Prec@1 48.750 (46.488) Prec@5 78.750 (77.033) Epoch: [36][10340/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 2.1300 (2.0910) Prec@1 46.875 (46.488) Prec@5 78.750 (77.034) Epoch: [36][10350/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 1.9881 (2.0910) Prec@1 45.625 (46.487) Prec@5 81.250 (77.034) Epoch: [36][10360/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 2.0597 (2.0910) Prec@1 46.875 (46.487) Prec@5 78.125 (77.034) Epoch: [36][10370/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 2.1000 (2.0910) Prec@1 45.000 (46.487) Prec@5 76.875 (77.034) Epoch: [36][10380/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 2.0816 (2.0910) Prec@1 43.750 (46.486) Prec@5 81.250 (77.034) Epoch: [36][10390/11272] Time 0.773 (0.802) Data 0.001 (0.002) Loss 2.0062 (2.0911) Prec@1 48.125 (46.484) Prec@5 75.000 (77.032) Epoch: [36][10400/11272] Time 0.747 (0.802) Data 0.002 (0.002) Loss 2.1931 (2.0912) Prec@1 46.250 (46.481) Prec@5 75.000 (77.031) Epoch: [36][10410/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 1.8766 (2.0912) Prec@1 46.875 (46.481) Prec@5 80.000 (77.031) Epoch: [36][10420/11272] Time 0.759 (0.802) Data 0.004 (0.002) Loss 1.9779 (2.0912) Prec@1 48.125 (46.482) Prec@5 81.875 (77.030) Epoch: [36][10430/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 2.2912 (2.0912) Prec@1 48.750 (46.482) Prec@5 72.500 (77.030) Epoch: [36][10440/11272] Time 0.881 (0.802) Data 0.001 (0.002) Loss 2.1149 (2.0912) Prec@1 47.500 (46.482) Prec@5 75.625 (77.029) Epoch: [36][10450/11272] Time 0.901 (0.802) Data 0.002 (0.002) Loss 1.8320 (2.0913) Prec@1 51.250 (46.481) Prec@5 81.250 (77.029) Epoch: [36][10460/11272] Time 0.754 (0.802) Data 0.001 (0.002) Loss 2.1561 (2.0913) Prec@1 43.750 (46.480) Prec@5 78.750 (77.030) Epoch: [36][10470/11272] Time 0.749 (0.802) Data 0.001 (0.002) Loss 2.0236 (2.0913) Prec@1 51.250 (46.480) Prec@5 79.375 (77.030) Epoch: [36][10480/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.0627 (2.0913) Prec@1 46.250 (46.479) Prec@5 80.625 (77.030) Epoch: [36][10490/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 2.0065 (2.0913) Prec@1 49.375 (46.479) Prec@5 73.125 (77.029) Epoch: [36][10500/11272] Time 0.743 (0.802) Data 0.001 (0.002) Loss 2.3107 (2.0914) Prec@1 44.375 (46.477) Prec@5 72.500 (77.028) Epoch: [36][10510/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.3726 (2.0914) Prec@1 39.375 (46.477) Prec@5 70.625 (77.027) Epoch: [36][10520/11272] Time 0.878 (0.802) Data 0.001 (0.002) Loss 2.1240 (2.0914) Prec@1 48.125 (46.477) Prec@5 77.500 (77.027) Epoch: [36][10530/11272] Time 0.835 (0.802) Data 0.001 (0.002) Loss 2.3240 (2.0914) Prec@1 39.375 (46.477) Prec@5 73.750 (77.027) Epoch: [36][10540/11272] Time 0.785 (0.802) Data 0.002 (0.002) Loss 2.0971 (2.0915) Prec@1 48.750 (46.477) Prec@5 77.500 (77.026) Epoch: [36][10550/11272] Time 0.813 (0.802) Data 0.002 (0.002) Loss 1.9695 (2.0915) Prec@1 50.625 (46.478) Prec@5 80.625 (77.026) Epoch: [36][10560/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 1.9899 (2.0915) Prec@1 48.125 (46.477) Prec@5 78.750 (77.028) Epoch: [36][10570/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 2.0905 (2.0915) Prec@1 42.500 (46.478) Prec@5 79.375 (77.028) Epoch: [36][10580/11272] Time 0.768 (0.802) Data 0.002 (0.002) Loss 2.0762 (2.0914) Prec@1 50.625 (46.477) Prec@5 75.000 (77.029) Epoch: [36][10590/11272] Time 0.886 (0.802) Data 0.002 (0.002) Loss 1.9697 (2.0915) Prec@1 47.500 (46.476) Prec@5 79.375 (77.027) Epoch: [36][10600/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 2.2092 (2.0915) Prec@1 44.375 (46.477) Prec@5 73.750 (77.026) Epoch: [36][10610/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 2.2349 (2.0915) Prec@1 46.875 (46.477) Prec@5 71.875 (77.027) Epoch: [36][10620/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 1.9219 (2.0916) Prec@1 49.375 (46.476) Prec@5 79.375 (77.026) Epoch: [36][10630/11272] Time 0.870 (0.802) Data 0.001 (0.002) Loss 1.9176 (2.0916) Prec@1 43.125 (46.475) Prec@5 81.875 (77.027) Epoch: [36][10640/11272] Time 0.856 (0.802) Data 0.002 (0.002) Loss 1.9631 (2.0916) Prec@1 46.875 (46.476) Prec@5 81.875 (77.028) Epoch: [36][10650/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 2.2919 (2.0916) Prec@1 43.125 (46.474) Prec@5 77.500 (77.027) Epoch: [36][10660/11272] Time 0.744 (0.802) Data 0.003 (0.002) Loss 1.8790 (2.0916) Prec@1 50.000 (46.474) Prec@5 80.000 (77.027) Epoch: [36][10670/11272] Time 0.870 (0.802) Data 0.002 (0.002) Loss 2.1679 (2.0916) Prec@1 45.000 (46.474) Prec@5 73.125 (77.027) Epoch: [36][10680/11272] Time 0.819 (0.802) Data 0.002 (0.002) Loss 2.0181 (2.0916) Prec@1 46.875 (46.474) Prec@5 77.500 (77.026) Epoch: [36][10690/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 1.7529 (2.0916) Prec@1 56.875 (46.475) Prec@5 85.625 (77.028) Epoch: [36][10700/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 2.1201 (2.0915) Prec@1 40.000 (46.474) Prec@5 75.625 (77.029) Epoch: [36][10710/11272] Time 0.849 (0.802) Data 0.002 (0.002) Loss 2.2233 (2.0916) Prec@1 42.500 (46.472) Prec@5 75.625 (77.027) Epoch: [36][10720/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.3342 (2.0916) Prec@1 40.625 (46.471) Prec@5 69.375 (77.027) Epoch: [36][10730/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.1415 (2.0916) Prec@1 51.875 (46.471) Prec@5 73.750 (77.027) Epoch: [36][10740/11272] Time 0.810 (0.802) Data 0.001 (0.002) Loss 1.9467 (2.0916) Prec@1 53.750 (46.470) Prec@5 80.000 (77.027) Epoch: [36][10750/11272] Time 0.885 (0.802) Data 0.005 (0.002) Loss 2.2124 (2.0916) Prec@1 44.375 (46.469) Prec@5 71.875 (77.027) Epoch: [36][10760/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.1840 (2.0916) Prec@1 45.000 (46.468) Prec@5 78.125 (77.028) Epoch: [36][10770/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.0942 (2.0916) Prec@1 46.875 (46.468) Prec@5 76.250 (77.028) Epoch: [36][10780/11272] Time 0.903 (0.802) Data 0.002 (0.002) Loss 2.1382 (2.0917) Prec@1 45.625 (46.466) Prec@5 75.625 (77.026) Epoch: [36][10790/11272] Time 0.850 (0.802) Data 0.002 (0.002) Loss 2.0922 (2.0918) Prec@1 49.375 (46.464) Prec@5 76.250 (77.024) Epoch: [36][10800/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 2.3271 (2.0919) Prec@1 41.250 (46.463) Prec@5 78.125 (77.023) Epoch: [36][10810/11272] Time 0.759 (0.802) Data 0.002 (0.002) Loss 2.0541 (2.0919) Prec@1 45.000 (46.463) Prec@5 77.500 (77.022) Epoch: [36][10820/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.1146 (2.0920) Prec@1 41.250 (46.461) Prec@5 75.000 (77.020) Epoch: [36][10830/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 1.9328 (2.0920) Prec@1 46.875 (46.459) Prec@5 78.125 (77.019) Epoch: [36][10840/11272] Time 0.778 (0.802) Data 0.002 (0.002) Loss 2.3124 (2.0921) Prec@1 35.625 (46.458) Prec@5 75.625 (77.018) Epoch: [36][10850/11272] Time 0.853 (0.802) Data 0.002 (0.002) Loss 2.2951 (2.0922) Prec@1 44.375 (46.455) Prec@5 71.875 (77.016) Epoch: [36][10860/11272] Time 0.853 (0.802) Data 0.002 (0.002) Loss 2.0583 (2.0922) Prec@1 43.750 (46.455) Prec@5 75.625 (77.016) Epoch: [36][10870/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 2.1265 (2.0922) Prec@1 47.500 (46.454) Prec@5 80.000 (77.016) Epoch: [36][10880/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.1275 (2.0922) Prec@1 43.750 (46.453) Prec@5 77.500 (77.016) Epoch: [36][10890/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.0722 (2.0923) Prec@1 50.625 (46.450) Prec@5 79.375 (77.013) Epoch: [36][10900/11272] Time 0.834 (0.802) Data 0.002 (0.002) Loss 2.2310 (2.0923) Prec@1 44.375 (46.449) Prec@5 75.000 (77.011) Epoch: [36][10910/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 2.2158 (2.0924) Prec@1 46.875 (46.449) Prec@5 75.000 (77.010) Epoch: [36][10920/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 1.9105 (2.0923) Prec@1 55.000 (46.450) Prec@5 78.125 (77.010) Epoch: [36][10930/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.7609 (2.0923) Prec@1 50.000 (46.450) Prec@5 81.250 (77.010) Epoch: [36][10940/11272] Time 0.878 (0.802) Data 0.001 (0.002) Loss 2.0100 (2.0924) Prec@1 49.375 (46.449) Prec@5 80.000 (77.009) Epoch: [36][10950/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.3784 (2.0924) Prec@1 44.375 (46.449) Prec@5 71.250 (77.009) Epoch: [36][10960/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 2.0488 (2.0924) Prec@1 50.000 (46.449) Prec@5 80.000 (77.009) Epoch: [36][10970/11272] Time 0.829 (0.802) Data 0.002 (0.002) Loss 2.0646 (2.0924) Prec@1 40.000 (46.449) Prec@5 78.125 (77.010) Epoch: [36][10980/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 2.3346 (2.0924) Prec@1 42.500 (46.448) Prec@5 71.875 (77.009) Epoch: [36][10990/11272] Time 0.751 (0.802) Data 0.001 (0.002) Loss 2.0511 (2.0924) Prec@1 46.875 (46.449) Prec@5 78.750 (77.010) Epoch: [36][11000/11272] Time 0.890 (0.802) Data 0.002 (0.002) Loss 1.7912 (2.0923) Prec@1 51.875 (46.448) Prec@5 84.375 (77.012) Epoch: [36][11010/11272] Time 0.816 (0.802) Data 0.002 (0.002) Loss 1.8753 (2.0923) Prec@1 50.000 (46.448) Prec@5 84.375 (77.013) Epoch: [36][11020/11272] Time 0.717 (0.802) Data 0.001 (0.002) Loss 2.2219 (2.0923) Prec@1 41.250 (46.448) Prec@5 75.000 (77.012) Epoch: [36][11030/11272] Time 0.762 (0.802) Data 0.002 (0.002) Loss 2.1315 (2.0924) Prec@1 43.125 (46.447) Prec@5 76.875 (77.010) Epoch: [36][11040/11272] Time 0.895 (0.802) Data 0.002 (0.002) Loss 2.2340 (2.0924) Prec@1 43.750 (46.448) Prec@5 78.125 (77.011) Epoch: [36][11050/11272] Time 0.845 (0.802) Data 0.002 (0.002) Loss 2.1375 (2.0924) Prec@1 45.000 (46.447) Prec@5 76.875 (77.010) Epoch: [36][11060/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 2.1724 (2.0924) Prec@1 46.875 (46.446) Prec@5 75.625 (77.009) Epoch: [36][11070/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 1.9868 (2.0924) Prec@1 48.125 (46.445) Prec@5 79.375 (77.010) Epoch: [36][11080/11272] Time 0.813 (0.802) Data 0.001 (0.002) Loss 1.9299 (2.0924) Prec@1 45.625 (46.444) Prec@5 81.875 (77.012) Epoch: [36][11090/11272] Time 0.738 (0.802) Data 0.004 (0.002) Loss 1.8508 (2.0925) Prec@1 51.250 (46.441) Prec@5 81.250 (77.011) Epoch: [36][11100/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 2.0866 (2.0925) Prec@1 45.625 (46.440) Prec@5 74.375 (77.011) Epoch: [36][11110/11272] Time 0.874 (0.802) Data 0.001 (0.002) Loss 1.9898 (2.0924) Prec@1 43.125 (46.440) Prec@5 78.125 (77.012) Epoch: [36][11120/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 2.0100 (2.0925) Prec@1 48.750 (46.439) Prec@5 75.625 (77.012) Epoch: [36][11130/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.1417 (2.0925) Prec@1 45.000 (46.438) Prec@5 75.000 (77.011) Epoch: [36][11140/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.4514 (2.0925) Prec@1 40.000 (46.437) Prec@5 72.500 (77.011) Epoch: [36][11150/11272] Time 0.842 (0.802) Data 0.002 (0.002) Loss 2.0048 (2.0925) Prec@1 49.375 (46.438) Prec@5 76.250 (77.011) Epoch: [36][11160/11272] Time 0.826 (0.802) Data 0.001 (0.002) Loss 2.1711 (2.0925) Prec@1 43.125 (46.438) Prec@5 76.250 (77.010) Epoch: [36][11170/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 2.0478 (2.0925) Prec@1 53.750 (46.439) Prec@5 76.875 (77.011) Epoch: [36][11180/11272] Time 0.751 (0.802) Data 0.001 (0.002) Loss 2.0115 (2.0924) Prec@1 50.000 (46.440) Prec@5 75.625 (77.013) Epoch: [36][11190/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 2.3571 (2.0924) Prec@1 40.625 (46.441) Prec@5 70.625 (77.012) Epoch: [36][11200/11272] Time 0.853 (0.802) Data 0.002 (0.002) Loss 1.9073 (2.0924) Prec@1 51.875 (46.441) Prec@5 80.625 (77.013) Epoch: [36][11210/11272] Time 0.771 (0.802) Data 0.002 (0.002) Loss 2.0815 (2.0924) Prec@1 47.500 (46.442) Prec@5 79.375 (77.013) Epoch: [36][11220/11272] Time 0.886 (0.802) Data 0.002 (0.002) Loss 2.1572 (2.0924) Prec@1 45.000 (46.442) Prec@5 75.625 (77.013) Epoch: [36][11230/11272] Time 0.864 (0.802) Data 0.002 (0.002) Loss 2.2116 (2.0923) Prec@1 46.875 (46.444) Prec@5 73.125 (77.014) Epoch: [36][11240/11272] Time 0.752 (0.802) Data 0.001 (0.002) Loss 2.0155 (2.0923) Prec@1 47.500 (46.444) Prec@5 78.125 (77.013) Epoch: [36][11250/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 2.1719 (2.0924) Prec@1 42.500 (46.442) Prec@5 73.750 (77.012) Epoch: [36][11260/11272] Time 0.847 (0.802) Data 0.002 (0.002) Loss 2.3714 (2.0924) Prec@1 41.875 (46.442) Prec@5 70.000 (77.011) Epoch: [36][11270/11272] Time 0.818 (0.802) Data 0.000 (0.002) Loss 1.8630 (2.0924) Prec@1 51.875 (46.443) Prec@5 80.000 (77.013) Test: [0/229] Time 1.731 (1.731) Loss 1.2859 (1.2859) Prec@1 57.500 (57.500) Prec@5 93.750 (93.750) Test: [10/229] Time 0.373 (0.524) Loss 1.2389 (1.6791) Prec@1 61.875 (54.261) Prec@5 96.875 (86.648) Test: [20/229] Time 0.377 (0.466) Loss 2.0461 (1.7215) Prec@1 50.000 (53.155) Prec@5 76.875 (85.417) Test: [30/229] Time 0.416 (0.442) Loss 2.0252 (1.6676) Prec@1 45.625 (55.202) Prec@5 83.125 (85.847) Test: [40/229] Time 0.331 (0.430) Loss 0.3913 (1.6653) Prec@1 92.500 (55.518) Prec@5 95.000 (85.732) Test: [50/229] Time 0.444 (0.423) Loss 2.6995 (1.7154) Prec@1 23.750 (54.240) Prec@5 71.250 (84.412) Test: [60/229] Time 0.359 (0.419) Loss 2.0854 (1.7022) Prec@1 40.000 (54.293) Prec@5 81.875 (84.611) Test: [70/229] Time 0.486 (0.417) Loss 1.3487 (1.7198) Prec@1 65.625 (53.829) Prec@5 85.625 (84.313) Test: [80/229] Time 0.470 (0.415) Loss 2.1795 (1.7387) Prec@1 35.625 (53.025) Prec@5 83.125 (84.282) Test: [90/229] Time 0.355 (0.413) Loss 1.4677 (1.7499) Prec@1 66.250 (52.871) Prec@5 86.250 (84.245) Test: [100/229] Time 0.461 (0.412) Loss 2.1657 (1.7546) Prec@1 54.375 (52.989) Prec@5 79.375 (84.140) Test: [110/229] Time 0.328 (0.409) Loss 1.4698 (1.7462) Prec@1 58.125 (53.012) Prec@5 86.250 (84.144) Test: [120/229] Time 0.395 (0.408) Loss 2.7165 (1.7701) Prec@1 28.125 (52.304) Prec@5 75.625 (83.864) Test: [130/229] Time 0.378 (0.407) Loss 1.2513 (1.7642) Prec@1 60.625 (52.376) Prec@5 91.250 (83.941) Test: [140/229] Time 0.380 (0.406) Loss 1.8028 (1.7774) Prec@1 48.750 (52.066) Prec@5 80.625 (83.790) Test: [150/229] Time 0.449 (0.406) Loss 1.2733 (1.7941) Prec@1 73.125 (51.676) Prec@5 85.000 (83.555) Test: [160/229] Time 0.397 (0.405) Loss 1.9723 (1.7970) Prec@1 55.000 (51.541) Prec@5 81.250 (83.521) Test: [170/229] Time 0.420 (0.405) Loss 1.9815 (1.8135) Prec@1 48.125 (51.089) Prec@5 81.875 (83.264) Test: [180/229] Time 0.345 (0.404) Loss 2.5161 (1.8203) Prec@1 31.250 (51.046) Prec@5 69.375 (83.066) Test: [190/229] Time 0.471 (0.404) Loss 1.5317 (1.8114) Prec@1 58.750 (51.319) Prec@5 90.625 (83.171) Test: [200/229] Time 0.331 (0.404) Loss 1.6575 (1.7989) Prec@1 51.250 (51.530) Prec@5 83.750 (83.396) Test: [210/229] Time 0.359 (0.403) Loss 1.3086 (1.7913) Prec@1 55.625 (51.748) Prec@5 91.250 (83.572) Test: [220/229] Time 0.489 (0.403) Loss 1.5042 (1.7810) Prec@1 61.875 (52.110) Prec@5 86.875 (83.685) * Prec@1 52.462 Prec@5 83.727 Epoch: [37][0/11272] Time 3.154 (3.154) Data 2.185 (2.185) Loss 1.8506 (1.8506) Prec@1 51.875 (51.875) Prec@5 81.875 (81.875) Epoch: [37][10/11272] Time 0.876 (1.012) Data 0.002 (0.200) Loss 2.0087 (2.1034) Prec@1 46.875 (46.534) Prec@5 78.750 (77.045) Epoch: [37][20/11272] Time 0.722 (0.909) Data 0.002 (0.106) Loss 2.0415 (2.0230) Prec@1 50.000 (47.857) Prec@5 80.000 (78.333) Epoch: [37][30/11272] Time 0.879 (0.878) Data 0.002 (0.072) Loss 2.1135 (2.0311) Prec@1 48.750 (47.802) Prec@5 78.750 (78.004) Epoch: [37][40/11272] Time 0.818 (0.861) Data 0.002 (0.055) Loss 1.9863 (2.0405) Prec@1 48.750 (47.226) Prec@5 80.625 (78.049) Epoch: [37][50/11272] Time 0.742 (0.848) Data 0.001 (0.044) Loss 2.1619 (2.0381) Prec@1 38.750 (47.169) Prec@5 78.125 (77.966) Epoch: [37][60/11272] Time 0.739 (0.839) Data 0.002 (0.037) Loss 2.0954 (2.0383) Prec@1 43.125 (46.998) Prec@5 77.500 (77.797) Epoch: [37][70/11272] Time 0.875 (0.834) Data 0.002 (0.032) Loss 2.2891 (2.0375) Prec@1 41.250 (46.989) Prec@5 75.000 (77.764) Epoch: [37][80/11272] Time 0.870 (0.831) Data 0.001 (0.029) Loss 2.5764 (2.0583) Prec@1 38.750 (46.651) Prec@5 68.125 (77.392) Epoch: [37][90/11272] Time 0.730 (0.828) Data 0.002 (0.026) Loss 2.2303 (2.0630) Prec@1 45.000 (46.690) Prec@5 73.750 (77.266) Epoch: [37][100/11272] Time 0.751 (0.826) Data 0.002 (0.023) Loss 1.9908 (2.0653) Prec@1 46.875 (46.578) Prec@5 77.500 (77.234) Epoch: [37][110/11272] Time 0.857 (0.826) Data 0.002 (0.021) Loss 2.0764 (2.0758) Prec@1 49.375 (46.419) Prec@5 78.125 (77.066) Epoch: [37][120/11272] Time 0.851 (0.823) Data 0.001 (0.020) Loss 1.9095 (2.0740) Prec@1 48.750 (46.513) Prec@5 80.000 (77.123) Epoch: [37][130/11272] Time 0.729 (0.823) Data 0.002 (0.018) Loss 2.0686 (2.0730) Prec@1 47.500 (46.555) Prec@5 74.375 (77.137) Epoch: [37][140/11272] Time 0.739 (0.821) Data 0.002 (0.017) Loss 2.0971 (2.0679) Prec@1 45.000 (46.680) Prec@5 76.875 (77.256) Epoch: [37][150/11272] Time 0.837 (0.820) Data 0.002 (0.016) Loss 2.0650 (2.0617) Prec@1 36.875 (46.867) Prec@5 78.750 (77.397) Epoch: [37][160/11272] Time 0.745 (0.818) Data 0.003 (0.015) Loss 2.0365 (2.0615) Prec@1 43.125 (46.972) Prec@5 75.000 (77.349) Epoch: [37][170/11272] Time 0.747 (0.817) Data 0.002 (0.014) Loss 2.2210 (2.0575) Prec@1 47.500 (47.149) Prec@5 72.500 (77.452) Epoch: [37][180/11272] Time 0.852 (0.817) Data 0.002 (0.014) Loss 2.1159 (2.0566) Prec@1 43.750 (47.193) Prec@5 78.125 (77.521) Epoch: [37][190/11272] Time 0.918 (0.817) Data 0.002 (0.013) Loss 2.0306 (2.0568) Prec@1 50.000 (47.156) Prec@5 77.500 (77.510) Epoch: [37][200/11272] Time 0.770 (0.817) Data 0.002 (0.013) Loss 2.2984 (2.0584) Prec@1 41.250 (47.102) Prec@5 70.625 (77.506) Epoch: [37][210/11272] Time 0.772 (0.817) Data 0.002 (0.012) Loss 2.0641 (2.0533) Prec@1 44.375 (47.156) Prec@5 78.125 (77.592) Epoch: [37][220/11272] Time 0.868 (0.817) Data 0.002 (0.012) Loss 2.0906 (2.0575) Prec@1 45.625 (47.118) Prec@5 77.500 (77.486) Epoch: [37][230/11272] Time 0.881 (0.817) Data 0.002 (0.011) Loss 1.9889 (2.0609) Prec@1 48.750 (47.073) Prec@5 78.125 (77.424) Epoch: [37][240/11272] Time 0.725 (0.816) Data 0.002 (0.011) Loss 2.2921 (2.0614) Prec@1 41.250 (47.015) Prec@5 72.500 (77.461) Epoch: [37][250/11272] Time 0.736 (0.816) Data 0.002 (0.010) Loss 1.9976 (2.0623) Prec@1 50.000 (47.022) Prec@5 78.750 (77.465) Epoch: [37][260/11272] Time 0.846 (0.816) Data 0.001 (0.010) Loss 2.0716 (2.0681) Prec@1 43.750 (46.935) Prec@5 73.125 (77.356) Epoch: [37][270/11272] Time 0.842 (0.815) Data 0.002 (0.010) Loss 2.1953 (2.0702) Prec@1 48.125 (46.843) Prec@5 71.875 (77.283) Epoch: [37][280/11272] Time 0.729 (0.814) Data 0.001 (0.009) Loss 2.2495 (2.0702) Prec@1 41.875 (46.833) Prec@5 75.625 (77.262) Epoch: [37][290/11272] Time 0.872 (0.814) Data 0.001 (0.009) Loss 2.3159 (2.0678) Prec@1 47.500 (46.909) Prec@5 74.375 (77.328) Epoch: [37][300/11272] Time 0.904 (0.814) Data 0.002 (0.009) Loss 2.0246 (2.0645) Prec@1 46.875 (46.977) Prec@5 78.125 (77.392) Epoch: [37][310/11272] Time 0.784 (0.814) Data 0.002 (0.009) Loss 2.0942 (2.0630) Prec@1 50.625 (46.990) Prec@5 73.750 (77.430) Epoch: [37][320/11272] Time 0.736 (0.814) Data 0.001 (0.008) Loss 1.9946 (2.0637) Prec@1 49.375 (46.972) Prec@5 78.125 (77.445) Epoch: [37][330/11272] Time 0.877 (0.814) Data 0.001 (0.008) Loss 2.0851 (2.0638) Prec@1 46.875 (46.998) Prec@5 78.750 (77.447) Epoch: [37][340/11272] Time 0.814 (0.813) Data 0.001 (0.008) Loss 2.0116 (2.0648) Prec@1 48.125 (46.998) Prec@5 78.750 (77.425) Epoch: [37][350/11272] Time 0.750 (0.812) Data 0.002 (0.008) Loss 2.0047 (2.0635) Prec@1 43.125 (47.019) Prec@5 80.000 (77.431) Epoch: [37][360/11272] Time 0.737 (0.812) Data 0.002 (0.008) Loss 2.2519 (2.0662) Prec@1 44.375 (46.974) Prec@5 73.750 (77.429) Epoch: [37][370/11272] Time 0.884 (0.813) Data 0.002 (0.008) Loss 1.7985 (2.0671) Prec@1 53.750 (46.956) Prec@5 82.500 (77.387) Epoch: [37][380/11272] Time 0.876 (0.813) Data 0.001 (0.007) Loss 2.0824 (2.0659) Prec@1 43.750 (46.936) Prec@5 79.375 (77.425) Epoch: [37][390/11272] Time 0.747 (0.813) Data 0.002 (0.007) Loss 2.0388 (2.0670) Prec@1 48.750 (46.931) Prec@5 75.000 (77.420) Epoch: [37][400/11272] Time 0.741 (0.813) Data 0.002 (0.007) Loss 1.9748 (2.0660) Prec@1 49.375 (46.925) Prec@5 78.125 (77.439) Epoch: [37][410/11272] Time 0.870 (0.813) Data 0.002 (0.007) Loss 1.8568 (2.0656) Prec@1 50.625 (46.940) Prec@5 83.125 (77.470) Epoch: [37][420/11272] Time 0.742 (0.812) Data 0.005 (0.007) Loss 1.8893 (2.0644) Prec@1 48.125 (46.980) Prec@5 80.000 (77.479) Epoch: [37][430/11272] Time 0.722 (0.812) Data 0.001 (0.007) Loss 2.0744 (2.0646) Prec@1 54.375 (46.988) Prec@5 80.000 (77.477) Epoch: [37][440/11272] Time 0.877 (0.812) Data 0.002 (0.007) Loss 1.9898 (2.0661) Prec@1 46.875 (46.974) Prec@5 79.375 (77.466) Epoch: [37][450/11272] Time 0.867 (0.812) Data 0.002 (0.007) Loss 2.0177 (2.0660) Prec@1 51.250 (47.001) Prec@5 78.750 (77.453) Epoch: [37][460/11272] Time 0.792 (0.812) Data 0.002 (0.006) Loss 2.2382 (2.0656) Prec@1 44.375 (47.051) Prec@5 75.625 (77.463) Epoch: [37][470/11272] Time 0.726 (0.812) Data 0.002 (0.006) Loss 1.9822 (2.0655) Prec@1 44.375 (47.032) Prec@5 81.250 (77.463) Epoch: [37][480/11272] Time 0.844 (0.812) Data 0.001 (0.006) Loss 1.8499 (2.0662) Prec@1 49.375 (46.993) Prec@5 83.750 (77.443) Epoch: [37][490/11272] Time 0.864 (0.812) Data 0.002 (0.006) Loss 2.0455 (2.0663) Prec@1 46.875 (46.986) Prec@5 74.375 (77.440) Epoch: [37][500/11272] Time 0.758 (0.812) Data 0.003 (0.006) Loss 2.1270 (2.0647) Prec@1 42.500 (47.021) Prec@5 77.500 (77.458) Epoch: [37][510/11272] Time 0.752 (0.812) Data 0.002 (0.006) Loss 1.8929 (2.0628) Prec@1 51.875 (47.061) Prec@5 84.375 (77.480) Epoch: [37][520/11272] Time 0.843 (0.811) Data 0.002 (0.006) Loss 1.9537 (2.0648) Prec@1 46.875 (47.011) Prec@5 76.875 (77.460) Epoch: [37][530/11272] Time 0.862 (0.811) Data 0.001 (0.006) Loss 2.0457 (2.0649) Prec@1 46.875 (47.003) Prec@5 80.625 (77.465) Epoch: [37][540/11272] Time 0.753 (0.811) Data 0.002 (0.006) Loss 2.1120 (2.0661) Prec@1 45.000 (46.976) Prec@5 76.875 (77.457) Epoch: [37][550/11272] Time 0.868 (0.811) Data 0.002 (0.006) Loss 2.0258 (2.0656) Prec@1 48.750 (46.975) Prec@5 78.125 (77.485) Epoch: [37][560/11272] Time 0.844 (0.811) Data 0.002 (0.006) Loss 2.0852 (2.0671) Prec@1 48.750 (46.946) Prec@5 77.500 (77.464) Epoch: [37][570/11272] Time 0.731 (0.811) Data 0.001 (0.006) Loss 2.1648 (2.0672) Prec@1 45.625 (46.949) Prec@5 76.875 (77.464) Epoch: [37][580/11272] Time 0.764 (0.811) Data 0.002 (0.005) Loss 2.0924 (2.0670) Prec@1 45.000 (46.950) Prec@5 75.000 (77.476) Epoch: [37][590/11272] Time 0.871 (0.812) Data 0.002 (0.005) Loss 1.8154 (2.0658) Prec@1 55.625 (46.991) Prec@5 77.500 (77.494) Epoch: [37][600/11272] Time 0.847 (0.812) Data 0.002 (0.005) Loss 1.9278 (2.0656) Prec@1 53.750 (46.991) Prec@5 79.375 (77.497) Epoch: [37][610/11272] Time 0.761 (0.811) Data 0.002 (0.005) Loss 2.2708 (2.0664) Prec@1 43.750 (46.985) Prec@5 73.750 (77.487) Epoch: [37][620/11272] Time 0.762 (0.811) Data 0.002 (0.005) Loss 2.2256 (2.0678) Prec@1 40.000 (46.968) Prec@5 77.500 (77.457) Epoch: [37][630/11272] Time 0.879 (0.811) Data 0.002 (0.005) Loss 2.0879 (2.0675) Prec@1 48.750 (46.971) Prec@5 80.625 (77.465) Epoch: [37][640/11272] Time 0.838 (0.811) Data 0.002 (0.005) Loss 1.7727 (2.0679) Prec@1 52.500 (46.958) Prec@5 83.125 (77.478) Epoch: [37][650/11272] Time 0.724 (0.811) Data 0.002 (0.005) Loss 2.1217 (2.0694) Prec@1 45.625 (46.913) Prec@5 75.625 (77.435) Epoch: [37][660/11272] Time 0.779 (0.811) Data 0.002 (0.005) Loss 2.1801 (2.0697) Prec@1 45.625 (46.916) Prec@5 76.875 (77.430) Epoch: [37][670/11272] Time 0.847 (0.811) Data 0.001 (0.005) Loss 2.2392 (2.0699) Prec@1 45.625 (46.901) Prec@5 75.000 (77.438) Epoch: [37][680/11272] Time 0.865 (0.811) Data 0.001 (0.005) Loss 2.0029 (2.0696) Prec@1 46.250 (46.886) Prec@5 77.500 (77.454) Epoch: [37][690/11272] Time 0.730 (0.811) Data 0.002 (0.005) Loss 2.2850 (2.0691) Prec@1 45.625 (46.918) Prec@5 74.375 (77.468) Epoch: [37][700/11272] Time 0.864 (0.811) Data 0.002 (0.005) Loss 2.0420 (2.0689) Prec@1 53.125 (46.928) Prec@5 76.875 (77.448) Epoch: [37][710/11272] Time 0.839 (0.810) Data 0.002 (0.005) Loss 2.0635 (2.0684) Prec@1 45.000 (46.928) Prec@5 80.000 (77.467) Epoch: [37][720/11272] Time 0.764 (0.810) Data 0.002 (0.005) Loss 1.9973 (2.0683) Prec@1 50.000 (46.924) Prec@5 76.250 (77.480) Epoch: [37][730/11272] Time 0.767 (0.810) Data 0.001 (0.005) Loss 2.1447 (2.0685) Prec@1 40.625 (46.911) Prec@5 78.750 (77.490) Epoch: [37][740/11272] Time 0.859 (0.810) Data 0.002 (0.005) Loss 2.1421 (2.0683) Prec@1 41.250 (46.930) Prec@5 73.750 (77.487) Epoch: [37][750/11272] Time 0.896 (0.810) Data 0.002 (0.005) Loss 2.0950 (2.0681) Prec@1 42.500 (46.935) Prec@5 79.375 (77.493) Epoch: [37][760/11272] Time 0.730 (0.810) Data 0.002 (0.005) Loss 2.1667 (2.0690) Prec@1 42.500 (46.927) Prec@5 76.875 (77.471) Epoch: [37][770/11272] Time 0.775 (0.810) Data 0.001 (0.005) Loss 2.0109 (2.0686) Prec@1 50.625 (46.941) Prec@5 81.250 (77.489) Epoch: [37][780/11272] Time 0.846 (0.811) Data 0.001 (0.005) Loss 2.0951 (2.0698) Prec@1 46.875 (46.907) Prec@5 81.250 (77.477) Epoch: [37][790/11272] Time 0.833 (0.810) Data 0.002 (0.004) Loss 2.2487 (2.0698) Prec@1 43.125 (46.919) Prec@5 76.250 (77.487) Epoch: [37][800/11272] Time 0.735 (0.810) Data 0.001 (0.004) Loss 1.8802 (2.0697) Prec@1 51.250 (46.923) Prec@5 79.375 (77.491) Epoch: [37][810/11272] Time 0.739 (0.810) Data 0.002 (0.004) Loss 1.8175 (2.0693) Prec@1 52.500 (46.942) Prec@5 82.500 (77.493) Epoch: [37][820/11272] Time 0.887 (0.810) Data 0.002 (0.004) Loss 2.0698 (2.0694) Prec@1 48.125 (46.942) Prec@5 77.500 (77.492) Epoch: [37][830/11272] Time 0.738 (0.810) Data 0.001 (0.004) Loss 1.9697 (2.0694) Prec@1 50.000 (46.952) Prec@5 78.750 (77.481) Epoch: [37][840/11272] Time 0.744 (0.810) Data 0.001 (0.004) Loss 2.1929 (2.0679) Prec@1 48.750 (46.988) Prec@5 76.250 (77.495) Epoch: [37][850/11272] Time 0.849 (0.810) Data 0.001 (0.004) Loss 2.0869 (2.0680) Prec@1 48.750 (46.972) Prec@5 75.625 (77.489) Epoch: [37][860/11272] Time 0.886 (0.811) Data 0.002 (0.004) Loss 2.2938 (2.0689) Prec@1 43.125 (46.980) Prec@5 71.250 (77.475) Epoch: [37][870/11272] Time 0.724 (0.810) Data 0.001 (0.004) Loss 1.8115 (2.0684) Prec@1 58.125 (47.000) Prec@5 81.250 (77.481) Epoch: [37][880/11272] Time 0.729 (0.810) Data 0.001 (0.004) Loss 2.1698 (2.0683) Prec@1 49.375 (47.008) Prec@5 75.000 (77.474) Epoch: [37][890/11272] Time 0.874 (0.810) Data 0.002 (0.004) Loss 2.0888 (2.0690) Prec@1 42.500 (46.991) Prec@5 75.000 (77.461) Epoch: [37][900/11272] Time 0.859 (0.810) Data 0.002 (0.004) Loss 2.0146 (2.0688) Prec@1 48.125 (47.005) Prec@5 78.125 (77.467) Epoch: [37][910/11272] Time 0.730 (0.810) Data 0.002 (0.004) Loss 2.0179 (2.0703) Prec@1 45.000 (46.979) Prec@5 78.750 (77.441) Epoch: [37][920/11272] Time 0.752 (0.810) Data 0.002 (0.004) Loss 2.2245 (2.0707) Prec@1 41.250 (46.961) Prec@5 75.625 (77.424) Epoch: [37][930/11272] Time 0.840 (0.810) Data 0.001 (0.004) Loss 2.2121 (2.0710) Prec@1 44.375 (46.955) Prec@5 73.125 (77.413) Epoch: [37][940/11272] Time 0.847 (0.810) Data 0.002 (0.004) Loss 2.0648 (2.0715) Prec@1 43.750 (46.939) Prec@5 78.125 (77.402) Epoch: [37][950/11272] Time 0.757 (0.810) Data 0.001 (0.004) Loss 1.9600 (2.0719) Prec@1 50.000 (46.940) Prec@5 81.250 (77.397) Epoch: [37][960/11272] Time 0.878 (0.810) Data 0.002 (0.004) Loss 2.3754 (2.0720) Prec@1 46.250 (46.958) Prec@5 70.625 (77.400) Epoch: [37][970/11272] Time 0.888 (0.810) Data 0.002 (0.004) Loss 2.1422 (2.0728) Prec@1 43.750 (46.927) Prec@5 76.875 (77.383) Epoch: [37][980/11272] Time 0.775 (0.810) Data 0.002 (0.004) Loss 2.1410 (2.0745) Prec@1 47.500 (46.893) Prec@5 77.500 (77.352) Epoch: [37][990/11272] Time 0.755 (0.810) Data 0.002 (0.004) Loss 1.9886 (2.0740) Prec@1 45.000 (46.917) Prec@5 78.750 (77.364) Epoch: [37][1000/11272] Time 0.874 (0.810) Data 0.002 (0.004) Loss 2.1065 (2.0738) Prec@1 48.125 (46.916) Prec@5 75.625 (77.370) Epoch: [37][1010/11272] Time 0.846 (0.810) Data 0.002 (0.004) Loss 2.1176 (2.0745) Prec@1 45.000 (46.897) Prec@5 76.875 (77.353) Epoch: [37][1020/11272] Time 0.750 (0.810) Data 0.002 (0.004) Loss 1.9413 (2.0740) Prec@1 48.750 (46.906) Prec@5 79.375 (77.366) Epoch: [37][1030/11272] Time 0.715 (0.810) Data 0.002 (0.004) Loss 2.1469 (2.0741) Prec@1 44.375 (46.908) Prec@5 73.125 (77.377) Epoch: [37][1040/11272] Time 0.868 (0.810) Data 0.002 (0.004) Loss 2.1665 (2.0741) Prec@1 48.125 (46.905) Prec@5 76.250 (77.370) Epoch: [37][1050/11272] Time 0.819 (0.810) Data 0.001 (0.004) Loss 1.8947 (2.0738) Prec@1 51.250 (46.909) Prec@5 81.250 (77.374) Epoch: [37][1060/11272] Time 0.722 (0.810) Data 0.002 (0.004) Loss 2.1434 (2.0735) Prec@1 46.875 (46.922) Prec@5 71.875 (77.377) Epoch: [37][1070/11272] Time 0.712 (0.810) Data 0.001 (0.004) Loss 2.1310 (2.0736) Prec@1 43.125 (46.912) Prec@5 78.125 (77.377) Epoch: [37][1080/11272] Time 0.840 (0.810) Data 0.001 (0.004) Loss 2.2080 (2.0741) Prec@1 43.125 (46.915) Prec@5 74.375 (77.356) Epoch: [37][1090/11272] Time 0.735 (0.809) Data 0.004 (0.004) Loss 2.0045 (2.0741) Prec@1 48.125 (46.911) Prec@5 78.750 (77.352) Epoch: [37][1100/11272] Time 0.731 (0.809) Data 0.002 (0.004) Loss 1.9814 (2.0742) Prec@1 48.750 (46.906) Prec@5 79.375 (77.360) Epoch: [37][1110/11272] Time 0.850 (0.810) Data 0.002 (0.004) Loss 2.2055 (2.0746) Prec@1 43.125 (46.897) Prec@5 77.500 (77.355) Epoch: [37][1120/11272] Time 0.853 (0.809) Data 0.002 (0.004) Loss 2.0450 (2.0744) Prec@1 49.375 (46.902) Prec@5 75.000 (77.356) Epoch: [37][1130/11272] Time 0.748 (0.809) Data 0.002 (0.004) Loss 2.2594 (2.0741) Prec@1 43.125 (46.908) Prec@5 71.875 (77.357) Epoch: [37][1140/11272] Time 0.725 (0.809) Data 0.002 (0.004) Loss 2.2027 (2.0735) Prec@1 40.000 (46.917) Prec@5 74.375 (77.374) Epoch: [37][1150/11272] Time 0.885 (0.810) Data 0.002 (0.004) Loss 2.2295 (2.0734) Prec@1 41.875 (46.905) Prec@5 73.750 (77.370) Epoch: [37][1160/11272] Time 0.859 (0.810) Data 0.002 (0.004) Loss 1.7736 (2.0724) Prec@1 61.250 (46.934) Prec@5 81.250 (77.380) Epoch: [37][1170/11272] Time 0.800 (0.809) Data 0.002 (0.004) Loss 1.8320 (2.0721) Prec@1 51.875 (46.942) Prec@5 80.000 (77.384) Epoch: [37][1180/11272] Time 0.729 (0.809) Data 0.002 (0.004) Loss 2.1596 (2.0721) Prec@1 44.375 (46.944) Prec@5 74.375 (77.383) Epoch: [37][1190/11272] Time 0.888 (0.809) Data 0.002 (0.004) Loss 2.3650 (2.0727) Prec@1 40.000 (46.934) Prec@5 75.000 (77.365) Epoch: [37][1200/11272] Time 0.876 (0.809) Data 0.002 (0.004) Loss 2.0629 (2.0731) Prec@1 50.000 (46.933) Prec@5 77.500 (77.356) Epoch: [37][1210/11272] Time 0.754 (0.809) Data 0.002 (0.004) Loss 1.8968 (2.0725) Prec@1 50.625 (46.949) Prec@5 80.625 (77.368) Epoch: [37][1220/11272] Time 0.840 (0.809) Data 0.001 (0.004) Loss 2.2537 (2.0727) Prec@1 46.250 (46.962) Prec@5 78.125 (77.364) Epoch: [37][1230/11272] Time 0.907 (0.809) Data 0.001 (0.003) Loss 2.2203 (2.0731) Prec@1 45.625 (46.962) Prec@5 74.375 (77.353) Epoch: [37][1240/11272] Time 0.734 (0.809) Data 0.001 (0.003) Loss 2.2999 (2.0729) Prec@1 45.625 (46.961) Prec@5 72.500 (77.355) Epoch: [37][1250/11272] Time 0.732 (0.809) Data 0.002 (0.003) Loss 1.9612 (2.0723) Prec@1 51.250 (46.976) Prec@5 78.750 (77.359) Epoch: [37][1260/11272] Time 0.918 (0.809) Data 0.002 (0.003) Loss 2.4293 (2.0722) Prec@1 41.250 (46.980) Prec@5 72.500 (77.362) Epoch: [37][1270/11272] Time 0.844 (0.809) Data 0.001 (0.003) Loss 2.0028 (2.0721) Prec@1 51.875 (46.987) Prec@5 78.750 (77.362) Epoch: [37][1280/11272] Time 0.736 (0.809) Data 0.006 (0.003) Loss 2.2899 (2.0723) Prec@1 43.750 (46.973) Prec@5 77.500 (77.361) Epoch: [37][1290/11272] Time 0.728 (0.809) Data 0.002 (0.003) Loss 2.2928 (2.0721) Prec@1 45.625 (46.973) Prec@5 72.500 (77.363) Epoch: [37][1300/11272] Time 0.865 (0.809) Data 0.001 (0.003) Loss 2.1236 (2.0718) Prec@1 50.000 (46.970) Prec@5 75.000 (77.362) Epoch: [37][1310/11272] Time 0.913 (0.809) Data 0.002 (0.003) Loss 2.1581 (2.0725) Prec@1 45.625 (46.968) Prec@5 74.375 (77.345) Epoch: [37][1320/11272] Time 0.741 (0.809) Data 0.002 (0.003) Loss 2.2372 (2.0728) Prec@1 45.000 (46.971) Prec@5 76.875 (77.338) Epoch: [37][1330/11272] Time 0.730 (0.809) Data 0.002 (0.003) Loss 2.0607 (2.0726) Prec@1 45.000 (46.979) Prec@5 76.250 (77.343) Epoch: [37][1340/11272] Time 0.883 (0.809) Data 0.002 (0.003) Loss 2.3274 (2.0727) Prec@1 41.250 (46.972) Prec@5 69.375 (77.338) Epoch: [37][1350/11272] Time 0.733 (0.809) Data 0.003 (0.003) Loss 1.8707 (2.0724) Prec@1 55.000 (46.980) Prec@5 79.375 (77.342) Epoch: [37][1360/11272] Time 0.722 (0.809) Data 0.001 (0.003) Loss 2.1824 (2.0727) Prec@1 48.125 (46.971) Prec@5 75.000 (77.329) Epoch: [37][1370/11272] Time 0.911 (0.809) Data 0.001 (0.003) Loss 2.1009 (2.0721) Prec@1 45.000 (46.976) Prec@5 73.750 (77.338) Epoch: [37][1380/11272] Time 0.826 (0.809) Data 0.002 (0.003) Loss 2.0173 (2.0717) Prec@1 52.500 (46.985) Prec@5 80.000 (77.340) Epoch: [37][1390/11272] Time 0.733 (0.809) Data 0.002 (0.003) Loss 2.0612 (2.0722) Prec@1 46.250 (46.975) Prec@5 73.750 (77.327) Epoch: [37][1400/11272] Time 0.725 (0.809) Data 0.002 (0.003) Loss 2.0044 (2.0725) Prec@1 48.125 (46.960) Prec@5 77.500 (77.321) Epoch: [37][1410/11272] Time 0.855 (0.809) Data 0.002 (0.003) Loss 1.9986 (2.0722) Prec@1 46.250 (46.964) Prec@5 76.875 (77.326) Epoch: [37][1420/11272] Time 0.869 (0.809) Data 0.002 (0.003) Loss 2.0887 (2.0721) Prec@1 45.625 (46.974) Prec@5 79.375 (77.330) Epoch: [37][1430/11272] Time 0.740 (0.809) Data 0.002 (0.003) Loss 2.0854 (2.0722) Prec@1 44.375 (46.970) Prec@5 78.125 (77.333) Epoch: [37][1440/11272] Time 0.725 (0.809) Data 0.002 (0.003) Loss 1.9613 (2.0716) Prec@1 46.250 (46.984) Prec@5 76.250 (77.342) Epoch: [37][1450/11272] Time 0.863 (0.809) Data 0.002 (0.003) Loss 2.1383 (2.0718) Prec@1 49.375 (46.983) Prec@5 75.625 (77.337) Epoch: [37][1460/11272] Time 0.856 (0.808) Data 0.001 (0.003) Loss 1.8520 (2.0716) Prec@1 51.875 (46.991) Prec@5 80.000 (77.340) Epoch: [37][1470/11272] Time 0.725 (0.808) Data 0.002 (0.003) Loss 1.8675 (2.0711) Prec@1 50.625 (47.007) Prec@5 83.125 (77.349) Epoch: [37][1480/11272] Time 0.866 (0.808) Data 0.002 (0.003) Loss 2.1172 (2.0710) Prec@1 47.500 (47.016) Prec@5 75.000 (77.346) Epoch: [37][1490/11272] Time 0.865 (0.808) Data 0.002 (0.003) Loss 1.9003 (2.0710) Prec@1 46.875 (47.016) Prec@5 81.250 (77.342) Epoch: [37][1500/11272] Time 0.739 (0.808) Data 0.002 (0.003) Loss 2.1298 (2.0717) Prec@1 44.375 (46.993) Prec@5 71.875 (77.332) Epoch: [37][1510/11272] Time 0.735 (0.808) Data 0.002 (0.003) Loss 2.0302 (2.0719) Prec@1 53.125 (47.011) Prec@5 76.250 (77.319) Epoch: [37][1520/11272] Time 0.871 (0.808) Data 0.002 (0.003) Loss 2.0078 (2.0720) Prec@1 50.000 (47.001) Prec@5 76.250 (77.317) Epoch: [37][1530/11272] Time 0.882 (0.808) Data 0.002 (0.003) Loss 2.1820 (2.0724) Prec@1 47.500 (46.995) Prec@5 75.000 (77.311) Epoch: [37][1540/11272] Time 0.734 (0.808) Data 0.002 (0.003) Loss 2.0441 (2.0724) Prec@1 43.750 (46.988) Prec@5 78.750 (77.310) Epoch: [37][1550/11272] Time 0.798 (0.808) Data 0.002 (0.003) Loss 2.1016 (2.0722) Prec@1 43.125 (46.985) Prec@5 80.000 (77.317) Epoch: [37][1560/11272] Time 0.893 (0.808) Data 0.001 (0.003) Loss 1.7777 (2.0725) Prec@1 56.250 (46.979) Prec@5 83.125 (77.315) Epoch: [37][1570/11272] Time 0.831 (0.808) Data 0.002 (0.003) Loss 2.0986 (2.0730) Prec@1 42.500 (46.970) Prec@5 77.500 (77.306) Epoch: [37][1580/11272] Time 0.730 (0.808) Data 0.002 (0.003) Loss 2.1497 (2.0727) Prec@1 45.000 (46.973) Prec@5 77.500 (77.319) Epoch: [37][1590/11272] Time 0.740 (0.808) Data 0.002 (0.003) Loss 2.0455 (2.0728) Prec@1 47.500 (46.970) Prec@5 80.000 (77.319) Epoch: [37][1600/11272] Time 0.853 (0.808) Data 0.002 (0.003) Loss 2.2652 (2.0730) Prec@1 37.500 (46.955) Prec@5 77.500 (77.323) Epoch: [37][1610/11272] Time 0.871 (0.808) Data 0.002 (0.003) Loss 1.8983 (2.0728) Prec@1 44.375 (46.959) Prec@5 83.750 (77.325) Epoch: [37][1620/11272] Time 0.745 (0.808) Data 0.002 (0.003) Loss 1.9952 (2.0725) Prec@1 48.125 (46.960) Prec@5 77.500 (77.327) Epoch: [37][1630/11272] Time 0.865 (0.808) Data 0.001 (0.003) Loss 2.2346 (2.0729) Prec@1 46.875 (46.947) Prec@5 72.500 (77.310) Epoch: [37][1640/11272] Time 0.928 (0.808) Data 0.002 (0.003) Loss 2.1243 (2.0727) Prec@1 50.000 (46.956) Prec@5 73.125 (77.315) Epoch: [37][1650/11272] Time 0.723 (0.808) Data 0.001 (0.003) Loss 2.2534 (2.0723) Prec@1 50.000 (46.966) Prec@5 71.875 (77.321) Epoch: [37][1660/11272] Time 0.783 (0.808) Data 0.001 (0.003) Loss 2.1596 (2.0723) Prec@1 47.500 (46.968) Prec@5 79.375 (77.317) Epoch: [37][1670/11272] Time 0.864 (0.808) Data 0.002 (0.003) Loss 1.8079 (2.0718) Prec@1 49.375 (46.965) Prec@5 82.500 (77.328) Epoch: [37][1680/11272] Time 0.894 (0.808) Data 0.002 (0.003) Loss 2.0844 (2.0718) Prec@1 47.500 (46.963) Prec@5 79.375 (77.330) Epoch: [37][1690/11272] Time 0.748 (0.808) Data 0.002 (0.003) Loss 2.0504 (2.0718) Prec@1 46.250 (46.962) Prec@5 79.375 (77.333) Epoch: [37][1700/11272] Time 0.720 (0.808) Data 0.002 (0.003) Loss 2.1235 (2.0719) Prec@1 48.750 (46.962) Prec@5 71.250 (77.331) Epoch: [37][1710/11272] Time 0.842 (0.808) Data 0.001 (0.003) Loss 2.1666 (2.0719) Prec@1 44.375 (46.966) Prec@5 73.750 (77.331) Epoch: [37][1720/11272] Time 0.892 (0.808) Data 0.002 (0.003) Loss 2.1192 (2.0721) Prec@1 50.625 (46.965) Prec@5 77.500 (77.330) Epoch: [37][1730/11272] Time 0.745 (0.808) Data 0.002 (0.003) Loss 2.0603 (2.0722) Prec@1 46.250 (46.962) Prec@5 80.000 (77.332) Epoch: [37][1740/11272] Time 0.741 (0.808) Data 0.002 (0.003) Loss 1.8880 (2.0723) Prec@1 51.250 (46.963) Prec@5 81.875 (77.336) Epoch: [37][1750/11272] Time 0.856 (0.808) Data 0.002 (0.003) Loss 1.9173 (2.0718) Prec@1 50.625 (46.974) Prec@5 78.125 (77.343) Epoch: [37][1760/11272] Time 0.742 (0.808) Data 0.002 (0.003) Loss 2.0469 (2.0719) Prec@1 48.125 (46.975) Prec@5 75.000 (77.340) Epoch: [37][1770/11272] Time 0.731 (0.808) Data 0.002 (0.003) Loss 2.0018 (2.0719) Prec@1 49.375 (46.977) Prec@5 78.750 (77.344) Epoch: [37][1780/11272] Time 0.850 (0.808) Data 0.002 (0.003) Loss 2.1245 (2.0721) Prec@1 50.000 (46.976) Prec@5 75.000 (77.341) Epoch: [37][1790/11272] Time 0.801 (0.808) Data 0.001 (0.003) Loss 2.0640 (2.0725) Prec@1 50.625 (46.964) Prec@5 80.000 (77.337) Epoch: [37][1800/11272] Time 0.763 (0.808) Data 0.001 (0.003) Loss 1.9933 (2.0727) Prec@1 47.500 (46.962) Prec@5 80.000 (77.331) Epoch: [37][1810/11272] Time 0.740 (0.808) Data 0.002 (0.003) Loss 2.2603 (2.0728) Prec@1 40.625 (46.953) Prec@5 76.250 (77.332) Epoch: [37][1820/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 2.0450 (2.0731) Prec@1 44.375 (46.941) Prec@5 77.500 (77.325) Epoch: [37][1830/11272] Time 0.863 (0.808) Data 0.002 (0.003) Loss 2.1777 (2.0732) Prec@1 46.875 (46.944) Prec@5 75.000 (77.325) Epoch: [37][1840/11272] Time 0.764 (0.808) Data 0.002 (0.003) Loss 1.9704 (2.0734) Prec@1 50.625 (46.948) Prec@5 79.375 (77.316) Epoch: [37][1850/11272] Time 0.737 (0.808) Data 0.002 (0.003) Loss 2.1245 (2.0735) Prec@1 47.500 (46.945) Prec@5 73.750 (77.310) Epoch: [37][1860/11272] Time 0.874 (0.808) Data 0.002 (0.003) Loss 2.0485 (2.0734) Prec@1 45.625 (46.948) Prec@5 79.375 (77.314) Epoch: [37][1870/11272] Time 0.829 (0.808) Data 0.002 (0.003) Loss 2.2644 (2.0737) Prec@1 40.000 (46.944) Prec@5 73.750 (77.312) Epoch: [37][1880/11272] Time 0.771 (0.808) Data 0.003 (0.003) Loss 2.1619 (2.0735) Prec@1 50.625 (46.953) Prec@5 77.500 (77.321) Epoch: [37][1890/11272] Time 0.950 (0.808) Data 0.001 (0.003) Loss 2.1648 (2.0734) Prec@1 43.125 (46.948) Prec@5 77.500 (77.320) Epoch: [37][1900/11272] Time 0.840 (0.808) Data 0.002 (0.003) Loss 1.9276 (2.0735) Prec@1 46.875 (46.943) Prec@5 78.750 (77.323) Epoch: [37][1910/11272] Time 0.740 (0.808) Data 0.001 (0.003) Loss 2.1741 (2.0737) Prec@1 41.250 (46.943) Prec@5 78.750 (77.319) Epoch: [37][1920/11272] Time 0.733 (0.808) Data 0.002 (0.003) Loss 1.7868 (2.0735) Prec@1 53.125 (46.945) Prec@5 84.375 (77.330) Epoch: [37][1930/11272] Time 0.842 (0.808) Data 0.002 (0.003) Loss 1.9564 (2.0737) Prec@1 48.750 (46.934) Prec@5 77.500 (77.330) Epoch: [37][1940/11272] Time 0.884 (0.808) Data 0.001 (0.003) Loss 1.9406 (2.0742) Prec@1 47.500 (46.925) Prec@5 81.250 (77.322) Epoch: [37][1950/11272] Time 0.759 (0.808) Data 0.002 (0.003) Loss 1.9535 (2.0740) Prec@1 46.250 (46.928) Prec@5 76.875 (77.326) Epoch: [37][1960/11272] Time 0.776 (0.808) Data 0.001 (0.003) Loss 1.8157 (2.0741) Prec@1 49.375 (46.915) Prec@5 83.125 (77.324) Epoch: [37][1970/11272] Time 0.870 (0.808) Data 0.002 (0.003) Loss 1.9904 (2.0739) Prec@1 49.375 (46.917) Prec@5 80.625 (77.326) Epoch: [37][1980/11272] Time 0.839 (0.808) Data 0.001 (0.003) Loss 2.1110 (2.0736) Prec@1 45.625 (46.917) Prec@5 73.750 (77.338) Epoch: [37][1990/11272] Time 0.740 (0.808) Data 0.002 (0.003) Loss 1.7199 (2.0735) Prec@1 51.250 (46.917) Prec@5 83.750 (77.340) Epoch: [37][2000/11272] Time 0.751 (0.808) Data 0.002 (0.003) Loss 2.2135 (2.0734) Prec@1 42.500 (46.910) Prec@5 73.750 (77.341) Epoch: [37][2010/11272] Time 0.864 (0.808) Data 0.002 (0.003) Loss 2.5085 (2.0733) Prec@1 40.625 (46.916) Prec@5 68.750 (77.341) Epoch: [37][2020/11272] Time 0.795 (0.808) Data 0.003 (0.003) Loss 2.0322 (2.0732) Prec@1 46.250 (46.912) Prec@5 80.000 (77.344) Epoch: [37][2030/11272] Time 0.769 (0.808) Data 0.002 (0.003) Loss 2.1433 (2.0729) Prec@1 44.375 (46.918) Prec@5 71.875 (77.345) Epoch: [37][2040/11272] Time 0.880 (0.808) Data 0.002 (0.003) Loss 2.0128 (2.0727) Prec@1 50.000 (46.922) Prec@5 78.125 (77.345) Epoch: [37][2050/11272] Time 0.849 (0.808) Data 0.002 (0.003) Loss 2.1054 (2.0728) Prec@1 44.375 (46.923) Prec@5 76.875 (77.345) Epoch: [37][2060/11272] Time 0.749 (0.808) Data 0.001 (0.003) Loss 2.0079 (2.0729) Prec@1 48.750 (46.926) Prec@5 76.250 (77.343) Epoch: [37][2070/11272] Time 0.735 (0.808) Data 0.002 (0.003) Loss 2.1396 (2.0731) Prec@1 46.250 (46.925) Prec@5 76.250 (77.341) Epoch: [37][2080/11272] Time 0.887 (0.808) Data 0.002 (0.003) Loss 2.1695 (2.0733) Prec@1 45.000 (46.922) Prec@5 73.750 (77.338) Epoch: [37][2090/11272] Time 0.866 (0.808) Data 0.002 (0.003) Loss 2.0256 (2.0734) Prec@1 53.125 (46.917) Prec@5 75.625 (77.334) Epoch: [37][2100/11272] Time 0.735 (0.808) Data 0.002 (0.003) Loss 2.2472 (2.0733) Prec@1 44.375 (46.923) Prec@5 73.750 (77.333) Epoch: [37][2110/11272] Time 0.748 (0.808) Data 0.001 (0.003) Loss 2.2514 (2.0734) Prec@1 44.375 (46.920) Prec@5 75.000 (77.327) Epoch: [37][2120/11272] Time 0.837 (0.808) Data 0.001 (0.003) Loss 1.8343 (2.0732) Prec@1 55.000 (46.931) Prec@5 81.250 (77.331) Epoch: [37][2130/11272] Time 0.872 (0.808) Data 0.002 (0.003) Loss 1.7279 (2.0728) Prec@1 54.375 (46.935) Prec@5 82.500 (77.338) Epoch: [37][2140/11272] Time 0.756 (0.808) Data 0.002 (0.003) Loss 2.1393 (2.0728) Prec@1 48.750 (46.930) Prec@5 75.625 (77.340) Epoch: [37][2150/11272] Time 0.897 (0.808) Data 0.001 (0.003) Loss 2.2306 (2.0728) Prec@1 43.125 (46.928) Prec@5 78.125 (77.345) Epoch: [37][2160/11272] Time 0.858 (0.808) Data 0.002 (0.003) Loss 1.8829 (2.0729) Prec@1 51.875 (46.924) Prec@5 80.625 (77.344) Epoch: [37][2170/11272] Time 0.728 (0.808) Data 0.001 (0.003) Loss 2.2960 (2.0728) Prec@1 36.250 (46.926) Prec@5 73.125 (77.345) Epoch: [37][2180/11272] Time 0.728 (0.808) Data 0.002 (0.003) Loss 2.0926 (2.0730) Prec@1 46.875 (46.918) Prec@5 75.625 (77.334) Epoch: [37][2190/11272] Time 0.847 (0.808) Data 0.001 (0.003) Loss 2.2657 (2.0728) Prec@1 45.625 (46.919) Prec@5 73.750 (77.341) Epoch: [37][2200/11272] Time 0.905 (0.808) Data 0.002 (0.003) Loss 2.0904 (2.0731) Prec@1 46.250 (46.915) Prec@5 78.125 (77.344) Epoch: [37][2210/11272] Time 0.740 (0.808) Data 0.002 (0.003) Loss 2.2321 (2.0731) Prec@1 44.375 (46.913) Prec@5 75.625 (77.343) Epoch: [37][2220/11272] Time 0.781 (0.808) Data 0.001 (0.003) Loss 1.8660 (2.0731) Prec@1 49.375 (46.912) Prec@5 78.125 (77.342) Epoch: [37][2230/11272] Time 0.864 (0.808) Data 0.001 (0.003) Loss 2.1275 (2.0731) Prec@1 46.875 (46.920) Prec@5 78.750 (77.340) Epoch: [37][2240/11272] Time 0.848 (0.808) Data 0.002 (0.003) Loss 2.1749 (2.0732) Prec@1 45.625 (46.919) Prec@5 72.500 (77.334) Epoch: [37][2250/11272] Time 0.734 (0.808) Data 0.002 (0.003) Loss 2.3384 (2.0733) Prec@1 43.750 (46.919) Prec@5 71.875 (77.329) Epoch: [37][2260/11272] Time 0.744 (0.808) Data 0.002 (0.003) Loss 2.1833 (2.0731) Prec@1 45.000 (46.926) Prec@5 79.375 (77.333) Epoch: [37][2270/11272] Time 0.852 (0.808) Data 0.001 (0.003) Loss 1.9965 (2.0732) Prec@1 46.875 (46.928) Prec@5 76.875 (77.334) Epoch: [37][2280/11272] Time 0.728 (0.808) Data 0.004 (0.003) Loss 2.0990 (2.0731) Prec@1 48.125 (46.927) Prec@5 79.375 (77.335) Epoch: [37][2290/11272] Time 0.747 (0.808) Data 0.001 (0.003) Loss 2.1135 (2.0732) Prec@1 44.375 (46.926) Prec@5 75.000 (77.333) Epoch: [37][2300/11272] Time 0.921 (0.808) Data 0.002 (0.003) Loss 2.1785 (2.0734) Prec@1 51.250 (46.930) Prec@5 75.000 (77.333) Epoch: [37][2310/11272] Time 0.922 (0.808) Data 0.002 (0.003) Loss 2.1510 (2.0734) Prec@1 50.625 (46.934) Prec@5 75.625 (77.336) Epoch: [37][2320/11272] Time 0.748 (0.808) Data 0.002 (0.003) Loss 2.0588 (2.0733) Prec@1 50.625 (46.935) Prec@5 73.750 (77.337) Epoch: [37][2330/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 2.1908 (2.0736) Prec@1 44.375 (46.937) Prec@5 73.125 (77.328) Epoch: [37][2340/11272] Time 0.866 (0.808) Data 0.002 (0.003) Loss 1.8889 (2.0738) Prec@1 55.000 (46.940) Prec@5 81.875 (77.322) Epoch: [37][2350/11272] Time 0.856 (0.808) Data 0.001 (0.003) Loss 1.9453 (2.0736) Prec@1 43.750 (46.935) Prec@5 80.625 (77.321) Epoch: [37][2360/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 2.0526 (2.0736) Prec@1 45.625 (46.933) Prec@5 81.250 (77.326) Epoch: [37][2370/11272] Time 0.714 (0.807) Data 0.001 (0.003) Loss 1.9776 (2.0739) Prec@1 50.625 (46.924) Prec@5 75.625 (77.319) Epoch: [37][2380/11272] Time 0.856 (0.807) Data 0.002 (0.003) Loss 2.2130 (2.0742) Prec@1 45.000 (46.923) Prec@5 71.250 (77.310) Epoch: [37][2390/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 1.9454 (2.0742) Prec@1 48.125 (46.922) Prec@5 81.250 (77.310) Epoch: [37][2400/11272] Time 0.742 (0.807) Data 0.002 (0.003) Loss 2.0348 (2.0743) Prec@1 50.625 (46.922) Prec@5 76.875 (77.309) Epoch: [37][2410/11272] Time 0.883 (0.807) Data 0.002 (0.003) Loss 2.2055 (2.0747) Prec@1 41.250 (46.907) Prec@5 75.000 (77.301) Epoch: [37][2420/11272] Time 0.885 (0.807) Data 0.002 (0.003) Loss 2.0370 (2.0748) Prec@1 49.375 (46.907) Prec@5 78.125 (77.304) Epoch: [37][2430/11272] Time 0.729 (0.807) Data 0.001 (0.003) Loss 1.9729 (2.0747) Prec@1 46.250 (46.909) Prec@5 82.500 (77.306) Epoch: [37][2440/11272] Time 0.746 (0.807) Data 0.002 (0.003) Loss 2.3675 (2.0748) Prec@1 40.625 (46.901) Prec@5 70.625 (77.302) Epoch: [37][2450/11272] Time 0.839 (0.807) Data 0.002 (0.003) Loss 2.2630 (2.0747) Prec@1 41.875 (46.897) Prec@5 75.000 (77.304) Epoch: [37][2460/11272] Time 0.856 (0.807) Data 0.002 (0.003) Loss 1.8979 (2.0749) Prec@1 47.500 (46.892) Prec@5 81.875 (77.301) Epoch: [37][2470/11272] Time 0.755 (0.807) Data 0.002 (0.003) Loss 1.7982 (2.0747) Prec@1 50.625 (46.895) Prec@5 82.500 (77.304) Epoch: [37][2480/11272] Time 0.792 (0.807) Data 0.002 (0.003) Loss 2.0003 (2.0745) Prec@1 49.375 (46.898) Prec@5 81.250 (77.307) Epoch: [37][2490/11272] Time 0.878 (0.807) Data 0.001 (0.003) Loss 2.0933 (2.0746) Prec@1 43.750 (46.901) Prec@5 75.000 (77.304) Epoch: [37][2500/11272] Time 0.837 (0.807) Data 0.002 (0.003) Loss 2.1515 (2.0746) Prec@1 48.750 (46.904) Prec@5 75.000 (77.309) Epoch: [37][2510/11272] Time 0.734 (0.807) Data 0.002 (0.003) Loss 2.1603 (2.0747) Prec@1 49.375 (46.906) Prec@5 75.000 (77.311) Epoch: [37][2520/11272] Time 0.765 (0.807) Data 0.002 (0.003) Loss 2.0814 (2.0745) Prec@1 44.375 (46.911) Prec@5 77.500 (77.317) Epoch: [37][2530/11272] Time 0.900 (0.807) Data 0.001 (0.003) Loss 1.7947 (2.0748) Prec@1 52.500 (46.907) Prec@5 83.750 (77.315) Epoch: [37][2540/11272] Time 0.856 (0.807) Data 0.002 (0.003) Loss 2.0100 (2.0749) Prec@1 48.125 (46.910) Prec@5 75.625 (77.311) Epoch: [37][2550/11272] Time 0.732 (0.807) Data 0.001 (0.003) Loss 2.1858 (2.0751) Prec@1 47.500 (46.904) Prec@5 73.750 (77.309) Epoch: [37][2560/11272] Time 0.871 (0.807) Data 0.001 (0.003) Loss 1.8931 (2.0747) Prec@1 52.500 (46.914) Prec@5 81.250 (77.312) Epoch: [37][2570/11272] Time 0.910 (0.807) Data 0.002 (0.003) Loss 1.9991 (2.0747) Prec@1 45.625 (46.914) Prec@5 79.375 (77.310) Epoch: [37][2580/11272] Time 0.739 (0.807) Data 0.002 (0.003) Loss 2.1800 (2.0749) Prec@1 42.500 (46.913) Prec@5 73.125 (77.308) Epoch: [37][2590/11272] Time 0.746 (0.807) Data 0.002 (0.003) Loss 1.9573 (2.0748) Prec@1 49.375 (46.917) Prec@5 78.125 (77.308) Epoch: [37][2600/11272] Time 0.841 (0.807) Data 0.002 (0.003) Loss 2.0318 (2.0749) Prec@1 46.875 (46.918) Prec@5 78.125 (77.304) Epoch: [37][2610/11272] Time 0.892 (0.807) Data 0.002 (0.003) Loss 2.2563 (2.0748) Prec@1 40.000 (46.913) Prec@5 75.000 (77.308) Epoch: [37][2620/11272] Time 0.744 (0.807) Data 0.001 (0.003) Loss 2.1647 (2.0753) Prec@1 48.125 (46.900) Prec@5 73.750 (77.297) Epoch: [37][2630/11272] Time 0.734 (0.807) Data 0.002 (0.003) Loss 2.1808 (2.0754) Prec@1 43.125 (46.895) Prec@5 70.625 (77.290) Epoch: [37][2640/11272] Time 0.857 (0.807) Data 0.002 (0.003) Loss 1.8237 (2.0756) Prec@1 51.250 (46.893) Prec@5 83.750 (77.287) Epoch: [37][2650/11272] Time 0.814 (0.807) Data 0.002 (0.003) Loss 1.9385 (2.0757) Prec@1 54.375 (46.890) Prec@5 78.750 (77.283) Epoch: [37][2660/11272] Time 0.730 (0.807) Data 0.002 (0.003) Loss 2.1443 (2.0757) Prec@1 46.250 (46.892) Prec@5 78.750 (77.287) Epoch: [37][2670/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 2.1709 (2.0756) Prec@1 45.625 (46.891) Prec@5 71.250 (77.291) Epoch: [37][2680/11272] Time 0.868 (0.807) Data 0.003 (0.003) Loss 2.0229 (2.0754) Prec@1 44.375 (46.894) Prec@5 78.750 (77.296) Epoch: [37][2690/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.2319 (2.0755) Prec@1 39.375 (46.891) Prec@5 73.750 (77.291) Epoch: [37][2700/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.1145 (2.0759) Prec@1 44.375 (46.883) Prec@5 78.125 (77.290) Epoch: [37][2710/11272] Time 0.878 (0.807) Data 0.001 (0.003) Loss 2.0813 (2.0760) Prec@1 47.500 (46.884) Prec@5 73.750 (77.286) Epoch: [37][2720/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 2.0340 (2.0759) Prec@1 43.750 (46.884) Prec@5 73.750 (77.282) Epoch: [37][2730/11272] Time 0.734 (0.807) Data 0.002 (0.003) Loss 1.8326 (2.0758) Prec@1 50.625 (46.889) Prec@5 81.875 (77.285) Epoch: [37][2740/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.3151 (2.0763) Prec@1 45.625 (46.878) Prec@5 70.625 (77.272) Epoch: [37][2750/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 1.7739 (2.0762) Prec@1 55.000 (46.878) Prec@5 81.250 (77.272) Epoch: [37][2760/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 1.7971 (2.0761) Prec@1 50.000 (46.879) Prec@5 83.125 (77.277) Epoch: [37][2770/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.0195 (2.0763) Prec@1 50.000 (46.875) Prec@5 75.000 (77.267) Epoch: [37][2780/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.0617 (2.0763) Prec@1 50.000 (46.872) Prec@5 74.375 (77.272) Epoch: [37][2790/11272] Time 0.880 (0.807) Data 0.001 (0.002) Loss 1.9196 (2.0761) Prec@1 46.250 (46.871) Prec@5 79.375 (77.272) Epoch: [37][2800/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.0714 (2.0760) Prec@1 45.000 (46.871) Prec@5 79.375 (77.275) Epoch: [37][2810/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 1.9835 (2.0761) Prec@1 46.875 (46.868) Prec@5 78.125 (77.274) Epoch: [37][2820/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.1692 (2.0761) Prec@1 46.875 (46.868) Prec@5 75.000 (77.274) Epoch: [37][2830/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.0491 (2.0761) Prec@1 46.875 (46.862) Prec@5 75.625 (77.274) Epoch: [37][2840/11272] Time 0.765 (0.807) Data 0.001 (0.002) Loss 2.0114 (2.0762) Prec@1 48.750 (46.863) Prec@5 79.375 (77.271) Epoch: [37][2850/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 2.3108 (2.0764) Prec@1 43.750 (46.858) Prec@5 72.500 (77.267) Epoch: [37][2860/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.0891 (2.0765) Prec@1 41.875 (46.849) Prec@5 79.375 (77.264) Epoch: [37][2870/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.0099 (2.0767) Prec@1 48.125 (46.845) Prec@5 79.375 (77.258) Epoch: [37][2880/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 1.9514 (2.0765) Prec@1 46.250 (46.848) Prec@5 83.125 (77.262) Epoch: [37][2890/11272] Time 0.783 (0.807) Data 0.002 (0.002) Loss 1.9286 (2.0765) Prec@1 48.750 (46.843) Prec@5 80.000 (77.261) Epoch: [37][2900/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.1040 (2.0767) Prec@1 47.500 (46.838) Prec@5 80.000 (77.260) Epoch: [37][2910/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.2044 (2.0766) Prec@1 42.500 (46.837) Prec@5 76.250 (77.261) Epoch: [37][2920/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.4008 (2.0767) Prec@1 43.125 (46.834) Prec@5 73.125 (77.255) Epoch: [37][2930/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.2155 (2.0766) Prec@1 42.500 (46.835) Prec@5 75.000 (77.257) Epoch: [37][2940/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 1.8797 (2.0765) Prec@1 51.250 (46.837) Prec@5 81.250 (77.255) Epoch: [37][2950/11272] Time 0.730 (0.807) Data 0.003 (0.002) Loss 1.8837 (2.0765) Prec@1 46.875 (46.837) Prec@5 81.250 (77.254) Epoch: [37][2960/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 1.8529 (2.0767) Prec@1 55.000 (46.829) Prec@5 77.500 (77.251) Epoch: [37][2970/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.4250 (2.0769) Prec@1 37.500 (46.828) Prec@5 75.625 (77.250) Epoch: [37][2980/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 2.1611 (2.0770) Prec@1 43.125 (46.826) Prec@5 77.500 (77.247) Epoch: [37][2990/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.0872 (2.0772) Prec@1 45.625 (46.822) Prec@5 81.250 (77.244) Epoch: [37][3000/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 1.7379 (2.0768) Prec@1 56.250 (46.827) Prec@5 85.000 (77.249) Epoch: [37][3010/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.1810 (2.0769) Prec@1 45.625 (46.825) Prec@5 73.125 (77.242) Epoch: [37][3020/11272] Time 0.884 (0.807) Data 0.003 (0.002) Loss 2.0716 (2.0770) Prec@1 48.750 (46.821) Prec@5 78.125 (77.241) Epoch: [37][3030/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 1.8873 (2.0770) Prec@1 51.250 (46.821) Prec@5 80.625 (77.243) Epoch: [37][3040/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 1.9478 (2.0773) Prec@1 51.875 (46.816) Prec@5 75.000 (77.235) Epoch: [37][3050/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.0453 (2.0771) Prec@1 40.625 (46.816) Prec@5 81.250 (77.241) Epoch: [37][3060/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 1.9633 (2.0772) Prec@1 45.625 (46.812) Prec@5 83.125 (77.238) Epoch: [37][3070/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 2.1365 (2.0773) Prec@1 43.750 (46.809) Prec@5 75.000 (77.238) Epoch: [37][3080/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.1571 (2.0771) Prec@1 45.000 (46.816) Prec@5 75.625 (77.241) Epoch: [37][3090/11272] Time 0.876 (0.807) Data 0.001 (0.002) Loss 1.9228 (2.0771) Prec@1 50.625 (46.817) Prec@5 78.750 (77.242) Epoch: [37][3100/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.0046 (2.0771) Prec@1 48.125 (46.817) Prec@5 79.375 (77.240) Epoch: [37][3110/11272] Time 0.810 (0.807) Data 0.002 (0.002) Loss 1.9241 (2.0771) Prec@1 51.875 (46.816) Prec@5 81.250 (77.243) Epoch: [37][3120/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 2.1148 (2.0773) Prec@1 43.750 (46.809) Prec@5 77.500 (77.237) Epoch: [37][3130/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 2.2789 (2.0773) Prec@1 42.500 (46.813) Prec@5 71.875 (77.235) Epoch: [37][3140/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.0059 (2.0774) Prec@1 48.125 (46.812) Prec@5 77.500 (77.235) Epoch: [37][3150/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.0563 (2.0774) Prec@1 48.125 (46.808) Prec@5 80.625 (77.237) Epoch: [37][3160/11272] Time 0.894 (0.807) Data 0.001 (0.002) Loss 2.0090 (2.0774) Prec@1 48.750 (46.809) Prec@5 78.750 (77.237) Epoch: [37][3170/11272] Time 0.857 (0.807) Data 0.001 (0.002) Loss 1.8559 (2.0772) Prec@1 52.500 (46.812) Prec@5 80.625 (77.237) Epoch: [37][3180/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 1.9259 (2.0770) Prec@1 45.625 (46.814) Prec@5 80.000 (77.243) Epoch: [37][3190/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.3631 (2.0772) Prec@1 39.375 (46.808) Prec@5 73.125 (77.234) Epoch: [37][3200/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 1.9364 (2.0772) Prec@1 49.375 (46.809) Prec@5 84.375 (77.236) Epoch: [37][3210/11272] Time 0.726 (0.807) Data 0.003 (0.002) Loss 1.9415 (2.0774) Prec@1 51.875 (46.805) Prec@5 76.875 (77.228) Epoch: [37][3220/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 1.9815 (2.0773) Prec@1 46.875 (46.802) Prec@5 81.250 (77.230) Epoch: [37][3230/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 1.9700 (2.0773) Prec@1 50.625 (46.804) Prec@5 79.375 (77.231) Epoch: [37][3240/11272] Time 0.984 (0.807) Data 0.003 (0.002) Loss 1.9632 (2.0773) Prec@1 46.875 (46.803) Prec@5 80.000 (77.233) Epoch: [37][3250/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 1.8889 (2.0774) Prec@1 49.375 (46.799) Prec@5 80.625 (77.229) Epoch: [37][3260/11272] Time 0.709 (0.807) Data 0.002 (0.002) Loss 2.0337 (2.0775) Prec@1 45.000 (46.800) Prec@5 79.375 (77.229) Epoch: [37][3270/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.0438 (2.0778) Prec@1 40.000 (46.795) Prec@5 81.250 (77.227) Epoch: [37][3280/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.1710 (2.0778) Prec@1 41.875 (46.798) Prec@5 73.125 (77.229) Epoch: [37][3290/11272] Time 0.758 (0.807) Data 0.001 (0.002) Loss 2.0888 (2.0775) Prec@1 44.375 (46.805) Prec@5 78.125 (77.231) Epoch: [37][3300/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.0250 (2.0771) Prec@1 46.875 (46.811) Prec@5 79.375 (77.240) Epoch: [37][3310/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 1.9273 (2.0769) Prec@1 50.000 (46.815) Prec@5 78.750 (77.243) Epoch: [37][3320/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.0163 (2.0767) Prec@1 46.250 (46.816) Prec@5 80.625 (77.246) Epoch: [37][3330/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 2.3008 (2.0769) Prec@1 40.000 (46.812) Prec@5 78.750 (77.247) Epoch: [37][3340/11272] Time 0.866 (0.807) Data 0.001 (0.002) Loss 1.9476 (2.0768) Prec@1 46.250 (46.809) Prec@5 80.625 (77.250) Epoch: [37][3350/11272] Time 0.873 (0.807) Data 0.001 (0.002) Loss 1.9732 (2.0768) Prec@1 50.625 (46.809) Prec@5 80.000 (77.248) Epoch: [37][3360/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.0350 (2.0768) Prec@1 42.500 (46.805) Prec@5 78.125 (77.244) Epoch: [37][3370/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.0607 (2.0768) Prec@1 53.750 (46.809) Prec@5 74.375 (77.245) Epoch: [37][3380/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.0767 (2.0765) Prec@1 46.875 (46.817) Prec@5 75.625 (77.246) Epoch: [37][3390/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.2143 (2.0766) Prec@1 41.875 (46.815) Prec@5 71.250 (77.243) Epoch: [37][3400/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.3459 (2.0764) Prec@1 38.750 (46.822) Prec@5 73.750 (77.248) Epoch: [37][3410/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.2675 (2.0763) Prec@1 44.375 (46.820) Prec@5 76.250 (77.253) Epoch: [37][3420/11272] Time 0.846 (0.807) Data 0.001 (0.002) Loss 2.1199 (2.0765) Prec@1 49.375 (46.813) Prec@5 78.125 (77.252) Epoch: [37][3430/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 1.7419 (2.0764) Prec@1 51.875 (46.813) Prec@5 83.750 (77.252) Epoch: [37][3440/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.1203 (2.0764) Prec@1 45.000 (46.809) Prec@5 78.125 (77.254) Epoch: [37][3450/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 1.9829 (2.0765) Prec@1 46.875 (46.806) Prec@5 81.875 (77.254) Epoch: [37][3460/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 1.9607 (2.0767) Prec@1 46.250 (46.807) Prec@5 78.125 (77.251) Epoch: [37][3470/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.2166 (2.0767) Prec@1 46.875 (46.805) Prec@5 71.250 (77.255) Epoch: [37][3480/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 1.9345 (2.0767) Prec@1 53.125 (46.806) Prec@5 80.625 (77.257) Epoch: [37][3490/11272] Time 0.835 (0.807) Data 0.001 (0.002) Loss 1.9389 (2.0764) Prec@1 48.750 (46.807) Prec@5 81.250 (77.261) Epoch: [37][3500/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.3746 (2.0764) Prec@1 38.125 (46.806) Prec@5 70.625 (77.259) Epoch: [37][3510/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.1066 (2.0765) Prec@1 46.875 (46.807) Prec@5 77.500 (77.258) Epoch: [37][3520/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.1176 (2.0765) Prec@1 49.375 (46.812) Prec@5 75.625 (77.259) Epoch: [37][3530/11272] Time 0.958 (0.807) Data 0.002 (0.002) Loss 1.8581 (2.0766) Prec@1 53.125 (46.810) Prec@5 83.125 (77.254) Epoch: [37][3540/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 1.9247 (2.0767) Prec@1 50.000 (46.812) Prec@5 79.375 (77.254) Epoch: [37][3550/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 1.9830 (2.0768) Prec@1 51.250 (46.814) Prec@5 76.250 (77.253) Epoch: [37][3560/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.3070 (2.0768) Prec@1 47.500 (46.817) Prec@5 73.750 (77.254) Epoch: [37][3570/11272] Time 0.926 (0.807) Data 0.002 (0.002) Loss 1.8959 (2.0765) Prec@1 50.625 (46.825) Prec@5 85.000 (77.261) Epoch: [37][3580/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 1.8934 (2.0764) Prec@1 51.875 (46.828) Prec@5 83.125 (77.261) Epoch: [37][3590/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.0595 (2.0763) Prec@1 48.125 (46.829) Prec@5 79.375 (77.262) Epoch: [37][3600/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.0285 (2.0762) Prec@1 45.625 (46.828) Prec@5 80.000 (77.266) Epoch: [37][3610/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.0336 (2.0762) Prec@1 49.375 (46.830) Prec@5 81.250 (77.268) Epoch: [37][3620/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.1236 (2.0762) Prec@1 45.000 (46.835) Prec@5 79.375 (77.271) Epoch: [37][3630/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.0245 (2.0761) Prec@1 43.750 (46.839) Prec@5 77.500 (77.270) Epoch: [37][3640/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.3574 (2.0761) Prec@1 40.000 (46.836) Prec@5 70.000 (77.271) Epoch: [37][3650/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.0417 (2.0760) Prec@1 47.500 (46.838) Prec@5 77.500 (77.271) Epoch: [37][3660/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.1641 (2.0759) Prec@1 43.125 (46.842) Prec@5 76.250 (77.277) Epoch: [37][3670/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.0493 (2.0758) Prec@1 44.375 (46.845) Prec@5 81.875 (77.280) Epoch: [37][3680/11272] Time 0.834 (0.807) Data 0.002 (0.002) Loss 2.3825 (2.0759) Prec@1 42.500 (46.844) Prec@5 71.875 (77.279) Epoch: [37][3690/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.0888 (2.0758) Prec@1 46.250 (46.846) Prec@5 81.875 (77.281) Epoch: [37][3700/11272] Time 0.724 (0.807) Data 0.002 (0.002) Loss 2.3594 (2.0759) Prec@1 40.000 (46.844) Prec@5 71.250 (77.280) Epoch: [37][3710/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.0802 (2.0759) Prec@1 44.375 (46.845) Prec@5 71.250 (77.279) Epoch: [37][3720/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.3656 (2.0761) Prec@1 44.375 (46.844) Prec@5 73.125 (77.276) Epoch: [37][3730/11272] Time 0.835 (0.807) Data 0.002 (0.002) Loss 1.9894 (2.0758) Prec@1 51.250 (46.848) Prec@5 80.000 (77.280) Epoch: [37][3740/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.0900 (2.0759) Prec@1 42.500 (46.847) Prec@5 71.875 (77.280) Epoch: [37][3750/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 1.7027 (2.0758) Prec@1 56.875 (46.849) Prec@5 80.625 (77.278) Epoch: [37][3760/11272] Time 0.858 (0.807) Data 0.001 (0.002) Loss 1.9191 (2.0761) Prec@1 51.875 (46.845) Prec@5 80.000 (77.275) Epoch: [37][3770/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.1424 (2.0762) Prec@1 44.375 (46.844) Prec@5 77.500 (77.275) Epoch: [37][3780/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 1.8859 (2.0763) Prec@1 50.625 (46.842) Prec@5 78.125 (77.272) Epoch: [37][3790/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.0872 (2.0762) Prec@1 44.375 (46.843) Prec@5 77.500 (77.273) Epoch: [37][3800/11272] Time 0.894 (0.807) Data 0.001 (0.002) Loss 1.9312 (2.0762) Prec@1 54.375 (46.849) Prec@5 75.625 (77.272) Epoch: [37][3810/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.0614 (2.0760) Prec@1 48.750 (46.851) Prec@5 76.250 (77.275) Epoch: [37][3820/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.1136 (2.0759) Prec@1 48.125 (46.852) Prec@5 75.625 (77.278) Epoch: [37][3830/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.0491 (2.0758) Prec@1 45.000 (46.852) Prec@5 78.125 (77.278) Epoch: [37][3840/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.2220 (2.0759) Prec@1 42.500 (46.846) Prec@5 75.000 (77.278) Epoch: [37][3850/11272] Time 0.787 (0.807) Data 0.002 (0.002) Loss 2.2144 (2.0759) Prec@1 49.375 (46.852) Prec@5 73.125 (77.277) Epoch: [37][3860/11272] Time 0.751 (0.807) Data 0.003 (0.002) Loss 2.3161 (2.0763) Prec@1 45.000 (46.847) Prec@5 73.125 (77.270) Epoch: [37][3870/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.4910 (2.0765) Prec@1 36.250 (46.844) Prec@5 69.375 (77.265) Epoch: [37][3880/11272] Time 0.710 (0.807) Data 0.002 (0.002) Loss 2.2604 (2.0765) Prec@1 40.625 (46.842) Prec@5 75.625 (77.266) Epoch: [37][3890/11272] Time 0.780 (0.807) Data 0.002 (0.002) Loss 1.9982 (2.0766) Prec@1 46.250 (46.842) Prec@5 80.000 (77.265) Epoch: [37][3900/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.1715 (2.0765) Prec@1 47.500 (46.848) Prec@5 75.000 (77.266) Epoch: [37][3910/11272] Time 0.902 (0.807) Data 0.001 (0.002) Loss 2.1759 (2.0767) Prec@1 44.375 (46.843) Prec@5 73.750 (77.263) Epoch: [37][3920/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.0891 (2.0769) Prec@1 44.375 (46.840) Prec@5 75.625 (77.262) Epoch: [37][3930/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.0613 (2.0768) Prec@1 45.000 (46.839) Prec@5 78.125 (77.262) Epoch: [37][3940/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.2267 (2.0769) Prec@1 41.875 (46.836) Prec@5 69.375 (77.259) Epoch: [37][3950/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.2815 (2.0770) Prec@1 43.750 (46.835) Prec@5 73.750 (77.258) Epoch: [37][3960/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 1.9769 (2.0769) Prec@1 48.750 (46.835) Prec@5 78.750 (77.260) Epoch: [37][3970/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.1062 (2.0768) Prec@1 43.750 (46.834) Prec@5 76.875 (77.265) Epoch: [37][3980/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.2517 (2.0768) Prec@1 48.750 (46.839) Prec@5 71.250 (77.266) Epoch: [37][3990/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.1465 (2.0767) Prec@1 43.750 (46.840) Prec@5 72.500 (77.268) Epoch: [37][4000/11272] Time 0.793 (0.807) Data 0.002 (0.002) Loss 1.8540 (2.0766) Prec@1 53.125 (46.846) Prec@5 81.875 (77.271) Epoch: [37][4010/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.0007 (2.0766) Prec@1 48.750 (46.846) Prec@5 78.125 (77.268) Epoch: [37][4020/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 1.8796 (2.0766) Prec@1 53.750 (46.843) Prec@5 78.750 (77.267) Epoch: [37][4030/11272] Time 0.776 (0.807) Data 0.001 (0.002) Loss 2.3066 (2.0765) Prec@1 43.750 (46.842) Prec@5 71.250 (77.268) Epoch: [37][4040/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.2619 (2.0766) Prec@1 43.125 (46.841) Prec@5 71.875 (77.268) Epoch: [37][4050/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 1.9676 (2.0766) Prec@1 44.375 (46.838) Prec@5 80.625 (77.266) Epoch: [37][4060/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.0286 (2.0767) Prec@1 51.250 (46.838) Prec@5 80.625 (77.264) Epoch: [37][4070/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 1.9305 (2.0766) Prec@1 48.750 (46.840) Prec@5 78.750 (77.265) Epoch: [37][4080/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1006 (2.0766) Prec@1 41.250 (46.837) Prec@5 80.625 (77.264) Epoch: [37][4090/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 1.9334 (2.0767) Prec@1 48.750 (46.833) Prec@5 80.000 (77.262) Epoch: [37][4100/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 2.1269 (2.0767) Prec@1 42.500 (46.833) Prec@5 79.375 (77.262) Epoch: [37][4110/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.1267 (2.0767) Prec@1 48.125 (46.836) Prec@5 75.000 (77.265) Epoch: [37][4120/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.1558 (2.0766) Prec@1 45.000 (46.840) Prec@5 77.500 (77.267) Epoch: [37][4130/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 1.9028 (2.0764) Prec@1 46.875 (46.840) Prec@5 82.500 (77.270) Epoch: [37][4140/11272] Time 0.781 (0.807) Data 0.004 (0.002) Loss 1.7775 (2.0765) Prec@1 53.125 (46.836) Prec@5 80.625 (77.267) Epoch: [37][4150/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.0862 (2.0766) Prec@1 51.250 (46.836) Prec@5 79.375 (77.268) Epoch: [37][4160/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.1104 (2.0767) Prec@1 47.500 (46.837) Prec@5 76.875 (77.266) Epoch: [37][4170/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 1.8428 (2.0768) Prec@1 48.750 (46.835) Prec@5 83.750 (77.264) Epoch: [37][4180/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.2207 (2.0769) Prec@1 40.000 (46.830) Prec@5 76.250 (77.262) Epoch: [37][4190/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.2486 (2.0770) Prec@1 44.375 (46.829) Prec@5 71.250 (77.260) Epoch: [37][4200/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 1.9366 (2.0772) Prec@1 48.750 (46.826) Prec@5 78.125 (77.255) Epoch: [37][4210/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.0737 (2.0773) Prec@1 45.000 (46.819) Prec@5 79.375 (77.255) Epoch: [37][4220/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.0402 (2.0773) Prec@1 51.250 (46.815) Prec@5 80.625 (77.258) Epoch: [37][4230/11272] Time 0.720 (0.807) Data 0.002 (0.002) Loss 2.6309 (2.0773) Prec@1 38.125 (46.815) Prec@5 69.375 (77.259) Epoch: [37][4240/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 1.6999 (2.0773) Prec@1 51.250 (46.814) Prec@5 83.750 (77.260) Epoch: [37][4250/11272] Time 0.892 (0.807) Data 0.001 (0.002) Loss 2.1001 (2.0772) Prec@1 48.125 (46.814) Prec@5 75.000 (77.263) Epoch: [37][4260/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.1172 (2.0773) Prec@1 44.375 (46.815) Prec@5 79.375 (77.265) Epoch: [37][4270/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.1997 (2.0773) Prec@1 41.250 (46.816) Prec@5 75.625 (77.264) Epoch: [37][4280/11272] Time 0.816 (0.807) Data 0.002 (0.002) Loss 2.0791 (2.0774) Prec@1 43.750 (46.813) Prec@5 85.000 (77.266) Epoch: [37][4290/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 1.9903 (2.0775) Prec@1 48.125 (46.807) Prec@5 81.250 (77.265) Epoch: [37][4300/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.3514 (2.0777) Prec@1 44.375 (46.806) Prec@5 74.375 (77.263) Epoch: [37][4310/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.1470 (2.0778) Prec@1 48.750 (46.804) Prec@5 76.875 (77.263) Epoch: [37][4320/11272] Time 0.920 (0.807) Data 0.001 (0.002) Loss 1.9762 (2.0780) Prec@1 51.250 (46.801) Prec@5 76.875 (77.259) Epoch: [37][4330/11272] Time 0.776 (0.807) Data 0.002 (0.002) Loss 1.9976 (2.0779) Prec@1 48.125 (46.800) Prec@5 77.500 (77.263) Epoch: [37][4340/11272] Time 0.761 (0.807) Data 0.001 (0.002) Loss 2.2191 (2.0782) Prec@1 46.875 (46.795) Prec@5 73.125 (77.258) Epoch: [37][4350/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 1.9184 (2.0782) Prec@1 50.625 (46.793) Prec@5 81.875 (77.254) Epoch: [37][4360/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.0594 (2.0781) Prec@1 49.375 (46.795) Prec@5 74.375 (77.256) Epoch: [37][4370/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.4524 (2.0782) Prec@1 42.500 (46.790) Prec@5 73.125 (77.257) Epoch: [37][4380/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 1.7294 (2.0782) Prec@1 53.125 (46.791) Prec@5 85.000 (77.255) Epoch: [37][4390/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.1573 (2.0783) Prec@1 44.375 (46.786) Prec@5 75.625 (77.253) Epoch: [37][4400/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.2121 (2.0783) Prec@1 43.125 (46.788) Prec@5 76.875 (77.257) Epoch: [37][4410/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.2334 (2.0784) Prec@1 43.750 (46.788) Prec@5 74.375 (77.257) Epoch: [37][4420/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.1533 (2.0784) Prec@1 45.000 (46.786) Prec@5 79.375 (77.257) Epoch: [37][4430/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.3642 (2.0785) Prec@1 45.000 (46.788) Prec@5 66.875 (77.255) Epoch: [37][4440/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.1805 (2.0786) Prec@1 45.000 (46.788) Prec@5 76.250 (77.254) Epoch: [37][4450/11272] Time 0.725 (0.807) Data 0.002 (0.002) Loss 2.1410 (2.0786) Prec@1 43.750 (46.785) Prec@5 79.375 (77.251) Epoch: [37][4460/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 1.9618 (2.0787) Prec@1 46.875 (46.784) Prec@5 81.250 (77.251) Epoch: [37][4470/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.0973 (2.0788) Prec@1 43.125 (46.781) Prec@5 79.375 (77.250) Epoch: [37][4480/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.1673 (2.0790) Prec@1 43.125 (46.780) Prec@5 75.625 (77.246) Epoch: [37][4490/11272] Time 0.761 (0.807) Data 0.001 (0.002) Loss 2.0793 (2.0790) Prec@1 47.500 (46.778) Prec@5 76.875 (77.245) Epoch: [37][4500/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.0161 (2.0789) Prec@1 44.375 (46.778) Prec@5 80.625 (77.246) Epoch: [37][4510/11272] Time 0.936 (0.807) Data 0.001 (0.002) Loss 2.2214 (2.0789) Prec@1 43.125 (46.778) Prec@5 73.750 (77.244) Epoch: [37][4520/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.1160 (2.0792) Prec@1 47.500 (46.777) Prec@5 74.375 (77.238) Epoch: [37][4530/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.1732 (2.0792) Prec@1 45.625 (46.776) Prec@5 73.750 (77.237) Epoch: [37][4540/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.0016 (2.0794) Prec@1 46.875 (46.770) Prec@5 75.000 (77.233) Epoch: [37][4550/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 1.9407 (2.0793) Prec@1 44.375 (46.771) Prec@5 80.625 (77.233) Epoch: [37][4560/11272] Time 0.775 (0.807) Data 0.002 (0.002) Loss 2.0208 (2.0794) Prec@1 49.375 (46.768) Prec@5 80.000 (77.232) Epoch: [37][4570/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.0026 (2.0794) Prec@1 46.250 (46.769) Prec@5 75.625 (77.231) Epoch: [37][4580/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 1.9657 (2.0793) Prec@1 48.125 (46.769) Prec@5 75.625 (77.232) Epoch: [37][4590/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.1072 (2.0792) Prec@1 44.375 (46.770) Prec@5 75.625 (77.233) Epoch: [37][4600/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 1.9244 (2.0792) Prec@1 50.000 (46.773) Prec@5 78.125 (77.232) Epoch: [37][4610/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 1.9551 (2.0791) Prec@1 54.375 (46.775) Prec@5 83.125 (77.232) Epoch: [37][4620/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.0874 (2.0792) Prec@1 43.125 (46.774) Prec@5 77.500 (77.232) Epoch: [37][4630/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.9780 (2.0791) Prec@1 46.250 (46.774) Prec@5 79.375 (77.231) Epoch: [37][4640/11272] Time 0.737 (0.807) Data 0.003 (0.002) Loss 2.0861 (2.0791) Prec@1 47.500 (46.774) Prec@5 78.125 (77.229) Epoch: [37][4650/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 1.9405 (2.0792) Prec@1 48.750 (46.768) Prec@5 79.375 (77.227) Epoch: [37][4660/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 2.2480 (2.0794) Prec@1 38.750 (46.766) Prec@5 75.000 (77.224) Epoch: [37][4670/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.0414 (2.0793) Prec@1 49.375 (46.768) Prec@5 76.250 (77.225) Epoch: [37][4680/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.0582 (2.0792) Prec@1 46.875 (46.770) Prec@5 76.875 (77.224) Epoch: [37][4690/11272] Time 0.820 (0.807) Data 0.001 (0.002) Loss 2.0902 (2.0792) Prec@1 47.500 (46.770) Prec@5 77.500 (77.225) Epoch: [37][4700/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.1991 (2.0793) Prec@1 45.000 (46.771) Prec@5 74.375 (77.223) Epoch: [37][4710/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.0381 (2.0793) Prec@1 41.875 (46.772) Prec@5 79.375 (77.224) Epoch: [37][4720/11272] Time 0.843 (0.807) Data 0.001 (0.002) Loss 1.9344 (2.0791) Prec@1 52.500 (46.772) Prec@5 78.125 (77.226) Epoch: [37][4730/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1232 (2.0792) Prec@1 49.375 (46.771) Prec@5 77.500 (77.224) Epoch: [37][4740/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.1324 (2.0791) Prec@1 48.125 (46.775) Prec@5 75.625 (77.227) Epoch: [37][4750/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.4096 (2.0792) Prec@1 40.000 (46.771) Prec@5 70.625 (77.224) Epoch: [37][4760/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.1134 (2.0792) Prec@1 43.750 (46.774) Prec@5 80.000 (77.227) Epoch: [37][4770/11272] Time 0.892 (0.807) Data 0.003 (0.002) Loss 1.9226 (2.0793) Prec@1 50.000 (46.777) Prec@5 80.000 (77.223) Epoch: [37][4780/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.1016 (2.0792) Prec@1 44.375 (46.782) Prec@5 77.500 (77.224) Epoch: [37][4790/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.0580 (2.0790) Prec@1 41.875 (46.785) Prec@5 76.250 (77.228) Epoch: [37][4800/11272] Time 0.835 (0.807) Data 0.002 (0.002) Loss 1.9844 (2.0790) Prec@1 46.875 (46.786) Prec@5 77.500 (77.227) Epoch: [37][4810/11272] Time 0.734 (0.807) Data 0.004 (0.002) Loss 1.9902 (2.0791) Prec@1 48.125 (46.783) Prec@5 80.000 (77.227) Epoch: [37][4820/11272] Time 0.782 (0.807) Data 0.002 (0.002) Loss 2.1881 (2.0792) Prec@1 41.250 (46.778) Prec@5 76.250 (77.227) Epoch: [37][4830/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 1.8251 (2.0793) Prec@1 51.250 (46.775) Prec@5 83.750 (77.226) Epoch: [37][4840/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 1.7559 (2.0792) Prec@1 51.250 (46.776) Prec@5 82.500 (77.228) Epoch: [37][4850/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.1908 (2.0792) Prec@1 36.250 (46.774) Prec@5 76.875 (77.225) Epoch: [37][4860/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.2186 (2.0793) Prec@1 46.250 (46.769) Prec@5 73.750 (77.223) Epoch: [37][4870/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 1.9298 (2.0793) Prec@1 51.250 (46.768) Prec@5 76.875 (77.222) Epoch: [37][4880/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.3238 (2.0795) Prec@1 40.625 (46.763) Prec@5 71.250 (77.216) Epoch: [37][4890/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.0697 (2.0796) Prec@1 45.625 (46.763) Prec@5 77.500 (77.213) Epoch: [37][4900/11272] Time 0.776 (0.807) Data 0.002 (0.002) Loss 2.2152 (2.0797) Prec@1 44.375 (46.762) Prec@5 75.000 (77.213) Epoch: [37][4910/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 1.9092 (2.0798) Prec@1 44.375 (46.759) Prec@5 83.750 (77.211) Epoch: [37][4920/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.1961 (2.0797) Prec@1 46.875 (46.761) Prec@5 75.625 (77.211) Epoch: [37][4930/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 1.8736 (2.0797) Prec@1 53.125 (46.762) Prec@5 80.000 (77.211) Epoch: [37][4940/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.2111 (2.0798) Prec@1 45.625 (46.761) Prec@5 75.000 (77.211) Epoch: [37][4950/11272] Time 0.831 (0.807) Data 0.002 (0.002) Loss 2.1351 (2.0799) Prec@1 43.125 (46.757) Prec@5 79.375 (77.210) Epoch: [37][4960/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.2750 (2.0800) Prec@1 39.375 (46.754) Prec@5 72.500 (77.209) Epoch: [37][4970/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.1433 (2.0800) Prec@1 46.875 (46.753) Prec@5 75.625 (77.212) Epoch: [37][4980/11272] Time 0.911 (0.807) Data 0.002 (0.002) Loss 1.9877 (2.0800) Prec@1 50.625 (46.753) Prec@5 75.625 (77.213) Epoch: [37][4990/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.0414 (2.0800) Prec@1 46.250 (46.752) Prec@5 73.750 (77.211) Epoch: [37][5000/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 1.9880 (2.0799) Prec@1 54.375 (46.757) Prec@5 78.750 (77.216) Epoch: [37][5010/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 1.8555 (2.0799) Prec@1 48.125 (46.753) Prec@5 83.750 (77.216) Epoch: [37][5020/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.1134 (2.0799) Prec@1 39.375 (46.751) Prec@5 76.875 (77.218) Epoch: [37][5030/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.2002 (2.0800) Prec@1 40.625 (46.746) Prec@5 73.750 (77.215) Epoch: [37][5040/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.1330 (2.0800) Prec@1 48.750 (46.746) Prec@5 75.000 (77.217) Epoch: [37][5050/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.1853 (2.0802) Prec@1 44.375 (46.741) Prec@5 72.500 (77.212) Epoch: [37][5060/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.2603 (2.0802) Prec@1 38.125 (46.743) Prec@5 75.000 (77.208) Epoch: [37][5070/11272] Time 0.737 (0.807) Data 0.004 (0.002) Loss 2.1149 (2.0804) Prec@1 45.625 (46.740) Prec@5 79.375 (77.205) Epoch: [37][5080/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 1.9539 (2.0803) Prec@1 47.500 (46.739) Prec@5 79.375 (77.207) Epoch: [37][5090/11272] Time 0.824 (0.807) Data 0.002 (0.002) Loss 2.1389 (2.0804) Prec@1 47.500 (46.736) Prec@5 73.750 (77.206) Epoch: [37][5100/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 1.9576 (2.0806) Prec@1 50.000 (46.734) Prec@5 75.625 (77.203) Epoch: [37][5110/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 1.9315 (2.0806) Prec@1 45.000 (46.735) Prec@5 82.500 (77.204) Epoch: [37][5120/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.2902 (2.0805) Prec@1 45.000 (46.735) Prec@5 75.000 (77.207) Epoch: [37][5130/11272] Time 0.843 (0.807) Data 0.001 (0.002) Loss 2.1050 (2.0806) Prec@1 42.500 (46.735) Prec@5 76.250 (77.205) Epoch: [37][5140/11272] Time 0.835 (0.807) Data 0.001 (0.002) Loss 2.3195 (2.0807) Prec@1 41.875 (46.736) Prec@5 71.875 (77.203) Epoch: [37][5150/11272] Time 0.725 (0.807) Data 0.002 (0.002) Loss 1.8611 (2.0808) Prec@1 51.250 (46.736) Prec@5 80.625 (77.200) Epoch: [37][5160/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.1340 (2.0809) Prec@1 45.000 (46.732) Prec@5 73.125 (77.198) Epoch: [37][5170/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1498 (2.0807) Prec@1 45.625 (46.736) Prec@5 76.875 (77.202) Epoch: [37][5180/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.0853 (2.0806) Prec@1 49.375 (46.741) Prec@5 75.625 (77.202) Epoch: [37][5190/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.2761 (2.0808) Prec@1 41.875 (46.735) Prec@5 71.875 (77.197) Epoch: [37][5200/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.3761 (2.0809) Prec@1 39.375 (46.734) Prec@5 71.875 (77.194) Epoch: [37][5210/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 1.8374 (2.0810) Prec@1 45.000 (46.732) Prec@5 86.875 (77.192) Epoch: [37][5220/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.1810 (2.0810) Prec@1 47.500 (46.734) Prec@5 75.000 (77.194) Epoch: [37][5230/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 1.7372 (2.0809) Prec@1 53.125 (46.735) Prec@5 81.250 (77.197) Epoch: [37][5240/11272] Time 0.902 (0.807) Data 0.002 (0.002) Loss 2.0747 (2.0810) Prec@1 48.125 (46.732) Prec@5 78.125 (77.195) Epoch: [37][5250/11272] Time 0.892 (0.807) Data 0.001 (0.002) Loss 1.9550 (2.0810) Prec@1 48.750 (46.729) Prec@5 81.250 (77.196) Epoch: [37][5260/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.1918 (2.0810) Prec@1 45.625 (46.730) Prec@5 69.375 (77.191) Epoch: [37][5270/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.4371 (2.0811) Prec@1 40.625 (46.729) Prec@5 69.375 (77.190) Epoch: [37][5280/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.0875 (2.0811) Prec@1 51.250 (46.729) Prec@5 74.375 (77.188) Epoch: [37][5290/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.2967 (2.0812) Prec@1 42.500 (46.727) Prec@5 74.375 (77.188) Epoch: [37][5300/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.1500 (2.0812) Prec@1 49.375 (46.729) Prec@5 75.625 (77.189) Epoch: [37][5310/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 1.8000 (2.0812) Prec@1 50.000 (46.728) Prec@5 81.250 (77.188) Epoch: [37][5320/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 1.8502 (2.0812) Prec@1 51.875 (46.725) Prec@5 81.875 (77.190) Epoch: [37][5330/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.0461 (2.0814) Prec@1 46.875 (46.718) Prec@5 80.000 (77.186) Epoch: [37][5340/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.0990 (2.0815) Prec@1 50.000 (46.718) Prec@5 75.625 (77.184) Epoch: [37][5350/11272] Time 0.888 (0.807) Data 0.001 (0.002) Loss 2.0555 (2.0816) Prec@1 48.125 (46.719) Prec@5 73.125 (77.183) Epoch: [37][5360/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.1201 (2.0817) Prec@1 46.250 (46.717) Prec@5 76.875 (77.182) Epoch: [37][5370/11272] Time 0.761 (0.807) Data 0.001 (0.002) Loss 2.0246 (2.0819) Prec@1 51.250 (46.714) Prec@5 78.125 (77.177) Epoch: [37][5380/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 1.9273 (2.0818) Prec@1 51.250 (46.716) Prec@5 78.125 (77.178) Epoch: [37][5390/11272] Time 0.912 (0.807) Data 0.002 (0.002) Loss 2.1975 (2.0818) Prec@1 45.000 (46.715) Prec@5 73.750 (77.180) Epoch: [37][5400/11272] Time 0.818 (0.807) Data 0.001 (0.002) Loss 2.2438 (2.0818) Prec@1 45.000 (46.716) Prec@5 75.000 (77.180) Epoch: [37][5410/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 1.9895 (2.0818) Prec@1 43.750 (46.712) Prec@5 76.875 (77.177) Epoch: [37][5420/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.2138 (2.0818) Prec@1 42.500 (46.713) Prec@5 75.000 (77.178) Epoch: [37][5430/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.2054 (2.0818) Prec@1 41.250 (46.715) Prec@5 78.750 (77.178) Epoch: [37][5440/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 1.9587 (2.0819) Prec@1 50.625 (46.712) Prec@5 80.000 (77.178) Epoch: [37][5450/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 2.1842 (2.0820) Prec@1 44.375 (46.709) Prec@5 78.125 (77.175) Epoch: [37][5460/11272] Time 0.827 (0.807) Data 0.001 (0.002) Loss 1.8328 (2.0819) Prec@1 50.000 (46.714) Prec@5 83.125 (77.175) Epoch: [37][5470/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.2264 (2.0821) Prec@1 38.125 (46.709) Prec@5 75.000 (77.172) Epoch: [37][5480/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.0782 (2.0820) Prec@1 46.875 (46.712) Prec@5 78.125 (77.174) Epoch: [37][5490/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.0844 (2.0820) Prec@1 48.125 (46.712) Prec@5 72.500 (77.172) Epoch: [37][5500/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.0045 (2.0821) Prec@1 45.000 (46.709) Prec@5 78.125 (77.168) Epoch: [37][5510/11272] Time 0.830 (0.807) Data 0.002 (0.002) Loss 1.9342 (2.0822) Prec@1 47.500 (46.710) Prec@5 82.500 (77.166) Epoch: [37][5520/11272] Time 0.763 (0.807) Data 0.004 (0.002) Loss 2.1893 (2.0823) Prec@1 42.500 (46.708) Prec@5 76.250 (77.163) Epoch: [37][5530/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.0875 (2.0822) Prec@1 45.000 (46.709) Prec@5 73.750 (77.162) Epoch: [37][5540/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.1404 (2.0822) Prec@1 44.375 (46.711) Prec@5 78.750 (77.163) Epoch: [37][5550/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 2.1705 (2.0823) Prec@1 41.875 (46.708) Prec@5 77.500 (77.163) Epoch: [37][5560/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.2275 (2.0823) Prec@1 43.125 (46.708) Prec@5 70.000 (77.164) Epoch: [37][5570/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.0614 (2.0824) Prec@1 45.000 (46.705) Prec@5 78.750 (77.163) Epoch: [37][5580/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 1.9980 (2.0823) Prec@1 50.000 (46.708) Prec@5 77.500 (77.167) Epoch: [37][5590/11272] Time 0.850 (0.807) Data 0.009 (0.002) Loss 2.1559 (2.0822) Prec@1 46.875 (46.711) Prec@5 81.250 (77.167) Epoch: [37][5600/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1564 (2.0823) Prec@1 43.125 (46.709) Prec@5 76.250 (77.166) Epoch: [37][5610/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 1.9760 (2.0823) Prec@1 52.500 (46.709) Prec@5 78.750 (77.167) Epoch: [37][5620/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 2.1062 (2.0821) Prec@1 45.625 (46.714) Prec@5 76.250 (77.169) Epoch: [37][5630/11272] Time 0.789 (0.807) Data 0.002 (0.002) Loss 2.3770 (2.0821) Prec@1 39.375 (46.713) Prec@5 73.125 (77.169) Epoch: [37][5640/11272] Time 0.722 (0.807) Data 0.001 (0.002) Loss 2.0165 (2.0821) Prec@1 43.750 (46.713) Prec@5 78.125 (77.168) Epoch: [37][5650/11272] Time 0.874 (0.807) Data 0.001 (0.002) Loss 2.3987 (2.0823) Prec@1 38.750 (46.711) Prec@5 72.500 (77.168) Epoch: [37][5660/11272] Time 0.824 (0.807) Data 0.002 (0.002) Loss 2.0823 (2.0823) Prec@1 46.875 (46.711) Prec@5 76.250 (77.168) Epoch: [37][5670/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.3355 (2.0824) Prec@1 45.000 (46.705) Prec@5 71.250 (77.166) Epoch: [37][5680/11272] Time 0.755 (0.807) Data 0.001 (0.002) Loss 2.1542 (2.0824) Prec@1 46.250 (46.707) Prec@5 75.625 (77.165) Epoch: [37][5690/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 1.8844 (2.0825) Prec@1 50.625 (46.705) Prec@5 86.875 (77.165) Epoch: [37][5700/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 1.9378 (2.0824) Prec@1 50.625 (46.708) Prec@5 79.375 (77.168) Epoch: [37][5710/11272] Time 0.746 (0.807) Data 0.001 (0.002) Loss 2.1090 (2.0825) Prec@1 43.750 (46.707) Prec@5 78.125 (77.164) Epoch: [37][5720/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.2388 (2.0827) Prec@1 36.875 (46.705) Prec@5 75.625 (77.162) Epoch: [37][5730/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.2134 (2.0826) Prec@1 45.000 (46.705) Prec@5 75.000 (77.165) Epoch: [37][5740/11272] Time 0.742 (0.807) Data 0.003 (0.002) Loss 2.3791 (2.0826) Prec@1 43.750 (46.704) Prec@5 70.000 (77.164) Epoch: [37][5750/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.2277 (2.0826) Prec@1 44.375 (46.703) Prec@5 77.500 (77.164) Epoch: [37][5760/11272] Time 0.895 (0.807) Data 0.002 (0.002) Loss 1.8644 (2.0827) Prec@1 53.125 (46.702) Prec@5 82.500 (77.166) Epoch: [37][5770/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.0656 (2.0825) Prec@1 43.750 (46.703) Prec@5 74.375 (77.167) Epoch: [37][5780/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.0087 (2.0826) Prec@1 50.000 (46.701) Prec@5 78.125 (77.168) Epoch: [37][5790/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.1661 (2.0826) Prec@1 44.375 (46.702) Prec@5 75.625 (77.166) Epoch: [37][5800/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.1362 (2.0827) Prec@1 48.750 (46.700) Prec@5 78.125 (77.165) Epoch: [37][5810/11272] Time 0.830 (0.807) Data 0.002 (0.002) Loss 2.1531 (2.0826) Prec@1 45.000 (46.699) Prec@5 75.000 (77.167) Epoch: [37][5820/11272] Time 0.782 (0.807) Data 0.002 (0.002) Loss 2.1167 (2.0826) Prec@1 43.750 (46.699) Prec@5 75.625 (77.169) Epoch: [37][5830/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 1.9414 (2.0825) Prec@1 47.500 (46.702) Prec@5 78.125 (77.168) Epoch: [37][5840/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 1.8785 (2.0824) Prec@1 49.375 (46.705) Prec@5 77.500 (77.169) Epoch: [37][5850/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.0263 (2.0824) Prec@1 50.000 (46.706) Prec@5 75.625 (77.170) Epoch: [37][5860/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 1.9278 (2.0824) Prec@1 48.125 (46.704) Prec@5 80.625 (77.173) Epoch: [37][5870/11272] Time 0.896 (0.807) Data 0.001 (0.002) Loss 2.2026 (2.0823) Prec@1 43.125 (46.705) Prec@5 78.125 (77.175) Epoch: [37][5880/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.0436 (2.0823) Prec@1 48.125 (46.705) Prec@5 76.250 (77.177) Epoch: [37][5890/11272] Time 0.758 (0.807) Data 0.001 (0.002) Loss 2.2591 (2.0824) Prec@1 38.125 (46.703) Prec@5 72.500 (77.173) Epoch: [37][5900/11272] Time 0.759 (0.807) Data 0.001 (0.002) Loss 2.1040 (2.0825) Prec@1 47.500 (46.704) Prec@5 74.375 (77.170) Epoch: [37][5910/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.2151 (2.0826) Prec@1 48.125 (46.705) Prec@5 75.625 (77.169) Epoch: [37][5920/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 2.0545 (2.0827) Prec@1 47.500 (46.703) Prec@5 75.000 (77.165) Epoch: [37][5930/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.3357 (2.0827) Prec@1 51.250 (46.702) Prec@5 71.875 (77.166) Epoch: [37][5940/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.3190 (2.0829) Prec@1 44.375 (46.701) Prec@5 72.500 (77.161) Epoch: [37][5950/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.0598 (2.0829) Prec@1 43.750 (46.700) Prec@5 78.125 (77.164) Epoch: [37][5960/11272] Time 0.818 (0.807) Data 0.001 (0.002) Loss 2.0061 (2.0829) Prec@1 46.250 (46.699) Prec@5 78.750 (77.166) Epoch: [37][5970/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.1225 (2.0830) Prec@1 43.125 (46.694) Prec@5 79.375 (77.164) Epoch: [37][5980/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.0389 (2.0831) Prec@1 45.000 (46.691) Prec@5 77.500 (77.162) Epoch: [37][5990/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.1044 (2.0831) Prec@1 43.750 (46.692) Prec@5 75.000 (77.162) Epoch: [37][6000/11272] Time 0.790 (0.807) Data 0.003 (0.002) Loss 2.0427 (2.0832) Prec@1 49.375 (46.690) Prec@5 80.000 (77.162) Epoch: [37][6010/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.0719 (2.0833) Prec@1 47.500 (46.688) Prec@5 78.125 (77.160) Epoch: [37][6020/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.4079 (2.0833) Prec@1 40.000 (46.688) Prec@5 68.750 (77.161) Epoch: [37][6030/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 1.9503 (2.0832) Prec@1 43.125 (46.688) Prec@5 84.375 (77.164) Epoch: [37][6040/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.3364 (2.0833) Prec@1 40.625 (46.687) Prec@5 71.250 (77.161) Epoch: [37][6050/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.1611 (2.0831) Prec@1 42.500 (46.690) Prec@5 76.250 (77.166) Epoch: [37][6060/11272] Time 0.882 (0.807) Data 0.001 (0.002) Loss 2.1712 (2.0831) Prec@1 43.125 (46.692) Prec@5 77.500 (77.166) Epoch: [37][6070/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 1.9438 (2.0831) Prec@1 49.375 (46.691) Prec@5 81.250 (77.167) Epoch: [37][6080/11272] Time 0.776 (0.808) Data 0.002 (0.002) Loss 2.0129 (2.0830) Prec@1 45.625 (46.692) Prec@5 80.625 (77.169) Epoch: [37][6090/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.1753 (2.0829) Prec@1 40.000 (46.696) Prec@5 77.500 (77.169) Epoch: [37][6100/11272] Time 0.832 (0.807) Data 0.002 (0.002) Loss 2.0738 (2.0829) Prec@1 43.750 (46.696) Prec@5 76.875 (77.169) Epoch: [37][6110/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.0917 (2.0828) Prec@1 48.750 (46.698) Prec@5 76.875 (77.169) Epoch: [37][6120/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.0043 (2.0828) Prec@1 50.625 (46.700) Prec@5 78.750 (77.170) Epoch: [37][6130/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.2961 (2.0830) Prec@1 46.875 (46.697) Prec@5 72.500 (77.166) Epoch: [37][6140/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 1.9669 (2.0831) Prec@1 47.500 (46.695) Prec@5 79.375 (77.164) Epoch: [37][6150/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 1.8967 (2.0830) Prec@1 52.500 (46.698) Prec@5 81.875 (77.168) Epoch: [37][6160/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.0259 (2.0830) Prec@1 50.625 (46.698) Prec@5 80.625 (77.168) Epoch: [37][6170/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.2470 (2.0832) Prec@1 41.250 (46.693) Prec@5 78.750 (77.165) Epoch: [37][6180/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 1.8972 (2.0832) Prec@1 48.750 (46.691) Prec@5 79.375 (77.163) Epoch: [37][6190/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.0126 (2.0832) Prec@1 42.500 (46.689) Prec@5 75.625 (77.163) Epoch: [37][6200/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 1.9515 (2.0833) Prec@1 46.875 (46.688) Prec@5 77.500 (77.163) Epoch: [37][6210/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.1440 (2.0832) Prec@1 43.750 (46.692) Prec@5 75.625 (77.163) Epoch: [37][6220/11272] Time 0.835 (0.807) Data 0.002 (0.002) Loss 2.1776 (2.0833) Prec@1 43.125 (46.691) Prec@5 78.750 (77.163) Epoch: [37][6230/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.0268 (2.0832) Prec@1 49.375 (46.692) Prec@5 78.750 (77.163) Epoch: [37][6240/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 1.7891 (2.0831) Prec@1 52.500 (46.692) Prec@5 79.375 (77.166) Epoch: [37][6250/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 1.9898 (2.0832) Prec@1 46.875 (46.689) Prec@5 78.125 (77.163) Epoch: [37][6260/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.1331 (2.0832) Prec@1 40.625 (46.691) Prec@5 76.875 (77.163) Epoch: [37][6270/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.1683 (2.0832) Prec@1 43.750 (46.690) Prec@5 76.875 (77.163) Epoch: [37][6280/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 1.8865 (2.0832) Prec@1 55.625 (46.691) Prec@5 78.125 (77.165) Epoch: [37][6290/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.1070 (2.0831) Prec@1 50.625 (46.694) Prec@5 79.375 (77.165) Epoch: [37][6300/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.1771 (2.0832) Prec@1 41.250 (46.694) Prec@5 76.875 (77.165) Epoch: [37][6310/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.1416 (2.0833) Prec@1 43.125 (46.692) Prec@5 76.250 (77.162) Epoch: [37][6320/11272] Time 0.885 (0.807) Data 0.001 (0.002) Loss 2.0988 (2.0833) Prec@1 46.250 (46.692) Prec@5 73.125 (77.162) Epoch: [37][6330/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.0252 (2.0830) Prec@1 45.625 (46.697) Prec@5 76.875 (77.166) Epoch: [37][6340/11272] Time 0.780 (0.807) Data 0.002 (0.002) Loss 2.2742 (2.0831) Prec@1 44.375 (46.697) Prec@5 74.375 (77.164) Epoch: [37][6350/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 1.9876 (2.0831) Prec@1 51.250 (46.699) Prec@5 75.625 (77.164) Epoch: [37][6360/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.0577 (2.0831) Prec@1 47.500 (46.698) Prec@5 76.875 (77.163) Epoch: [37][6370/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.0618 (2.0831) Prec@1 45.625 (46.698) Prec@5 78.750 (77.165) Epoch: [37][6380/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.2645 (2.0830) Prec@1 50.625 (46.701) Prec@5 71.250 (77.163) Epoch: [37][6390/11272] Time 0.876 (0.807) Data 0.001 (0.002) Loss 1.7245 (2.0830) Prec@1 55.000 (46.703) Prec@5 80.000 (77.163) Epoch: [37][6400/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 1.9674 (2.0830) Prec@1 48.125 (46.704) Prec@5 79.375 (77.162) Epoch: [37][6410/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.0809 (2.0829) Prec@1 48.125 (46.709) Prec@5 75.625 (77.162) Epoch: [37][6420/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 1.9369 (2.0829) Prec@1 53.125 (46.711) Prec@5 77.500 (77.160) Epoch: [37][6430/11272] Time 0.857 (0.807) Data 0.001 (0.002) Loss 2.0760 (2.0829) Prec@1 42.500 (46.709) Prec@5 75.000 (77.160) Epoch: [37][6440/11272] Time 0.829 (0.807) Data 0.002 (0.002) Loss 1.8813 (2.0829) Prec@1 50.625 (46.708) Prec@5 81.875 (77.159) Epoch: [37][6450/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.1439 (2.0830) Prec@1 40.625 (46.707) Prec@5 76.250 (77.158) Epoch: [37][6460/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 1.9263 (2.0828) Prec@1 54.375 (46.709) Prec@5 80.000 (77.159) Epoch: [37][6470/11272] Time 0.903 (0.807) Data 0.001 (0.002) Loss 2.0317 (2.0828) Prec@1 47.500 (46.711) Prec@5 80.000 (77.160) Epoch: [37][6480/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.3823 (2.0828) Prec@1 40.625 (46.709) Prec@5 71.250 (77.159) Epoch: [37][6490/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.0858 (2.0827) Prec@1 43.750 (46.712) Prec@5 76.250 (77.161) Epoch: [37][6500/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.2646 (2.0828) Prec@1 43.750 (46.709) Prec@5 74.375 (77.160) Epoch: [37][6510/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.0595 (2.0828) Prec@1 43.750 (46.709) Prec@5 77.500 (77.161) Epoch: [37][6520/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 1.9579 (2.0827) Prec@1 48.125 (46.710) Prec@5 83.750 (77.164) Epoch: [37][6530/11272] Time 0.732 (0.807) Data 0.003 (0.002) Loss 2.2358 (2.0827) Prec@1 40.000 (46.712) Prec@5 71.250 (77.164) Epoch: [37][6540/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.1486 (2.0828) Prec@1 46.250 (46.710) Prec@5 75.000 (77.163) Epoch: [37][6550/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.2523 (2.0829) Prec@1 44.375 (46.709) Prec@5 71.250 (77.161) Epoch: [37][6560/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.1217 (2.0829) Prec@1 44.375 (46.707) Prec@5 81.875 (77.163) Epoch: [37][6570/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.2037 (2.0830) Prec@1 42.500 (46.706) Prec@5 81.250 (77.164) Epoch: [37][6580/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 1.9600 (2.0831) Prec@1 49.375 (46.705) Prec@5 81.250 (77.161) Epoch: [37][6590/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.0879 (2.0831) Prec@1 45.625 (46.705) Prec@5 78.125 (77.161) Epoch: [37][6600/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.1597 (2.0832) Prec@1 46.250 (46.704) Prec@5 78.750 (77.161) Epoch: [37][6610/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.0982 (2.0833) Prec@1 46.875 (46.700) Prec@5 79.375 (77.160) Epoch: [37][6620/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 1.9985 (2.0834) Prec@1 45.625 (46.694) Prec@5 75.625 (77.159) Epoch: [37][6630/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 1.8326 (2.0835) Prec@1 50.625 (46.691) Prec@5 80.000 (77.158) Epoch: [37][6640/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.2712 (2.0835) Prec@1 43.125 (46.690) Prec@5 73.750 (77.158) Epoch: [37][6650/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.1190 (2.0836) Prec@1 46.875 (46.686) Prec@5 76.875 (77.157) Epoch: [37][6660/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.2374 (2.0836) Prec@1 41.875 (46.686) Prec@5 80.000 (77.158) Epoch: [37][6670/11272] Time 0.733 (0.807) Data 0.003 (0.002) Loss 2.0431 (2.0836) Prec@1 50.625 (46.685) Prec@5 78.125 (77.157) Epoch: [37][6680/11272] Time 0.722 (0.807) Data 0.002 (0.002) Loss 2.1697 (2.0837) Prec@1 46.875 (46.683) Prec@5 74.375 (77.155) Epoch: [37][6690/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.2408 (2.0838) Prec@1 41.250 (46.681) Prec@5 73.750 (77.154) Epoch: [37][6700/11272] Time 0.822 (0.807) Data 0.001 (0.002) Loss 2.1396 (2.0839) Prec@1 45.625 (46.679) Prec@5 75.625 (77.154) Epoch: [37][6710/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.3723 (2.0838) Prec@1 42.500 (46.681) Prec@5 70.000 (77.153) Epoch: [37][6720/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.0733 (2.0837) Prec@1 46.250 (46.684) Prec@5 79.375 (77.157) Epoch: [37][6730/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 1.9200 (2.0837) Prec@1 50.000 (46.684) Prec@5 81.250 (77.158) Epoch: [37][6740/11272] Time 0.864 (0.807) Data 0.001 (0.002) Loss 2.0513 (2.0837) Prec@1 46.250 (46.683) Prec@5 76.250 (77.156) Epoch: [37][6750/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.1079 (2.0837) Prec@1 51.250 (46.684) Prec@5 80.000 (77.158) Epoch: [37][6760/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.1035 (2.0837) Prec@1 47.500 (46.684) Prec@5 77.500 (77.158) Epoch: [37][6770/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 1.8120 (2.0837) Prec@1 56.875 (46.684) Prec@5 83.125 (77.158) Epoch: [37][6780/11272] Time 0.884 (0.807) Data 0.001 (0.002) Loss 2.0722 (2.0839) Prec@1 44.375 (46.680) Prec@5 76.875 (77.154) Epoch: [37][6790/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.2418 (2.0839) Prec@1 45.625 (46.679) Prec@5 73.125 (77.155) Epoch: [37][6800/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.2274 (2.0840) Prec@1 48.125 (46.678) Prec@5 72.500 (77.154) Epoch: [37][6810/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.1390 (2.0839) Prec@1 45.000 (46.678) Prec@5 75.625 (77.154) Epoch: [37][6820/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 1.8981 (2.0839) Prec@1 46.875 (46.676) Prec@5 85.000 (77.157) Epoch: [37][6830/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 2.0995 (2.0840) Prec@1 45.000 (46.675) Prec@5 78.750 (77.156) Epoch: [37][6840/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.1448 (2.0841) Prec@1 41.875 (46.673) Prec@5 71.875 (77.153) Epoch: [37][6850/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 1.8010 (2.0842) Prec@1 56.250 (46.669) Prec@5 78.125 (77.151) Epoch: [37][6860/11272] Time 0.737 (0.807) Data 0.003 (0.002) Loss 2.0885 (2.0842) Prec@1 48.750 (46.668) Prec@5 75.625 (77.150) Epoch: [37][6870/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.1267 (2.0843) Prec@1 43.125 (46.665) Prec@5 76.250 (77.148) Epoch: [37][6880/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.2555 (2.0843) Prec@1 43.750 (46.664) Prec@5 76.875 (77.148) Epoch: [37][6890/11272] Time 0.854 (0.807) Data 0.001 (0.002) Loss 2.1604 (2.0843) Prec@1 43.125 (46.664) Prec@5 78.750 (77.149) Epoch: [37][6900/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.1549 (2.0843) Prec@1 40.625 (46.664) Prec@5 72.500 (77.148) Epoch: [37][6910/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.1776 (2.0843) Prec@1 46.250 (46.664) Prec@5 76.250 (77.149) Epoch: [37][6920/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.0757 (2.0843) Prec@1 46.250 (46.664) Prec@5 79.375 (77.149) Epoch: [37][6930/11272] Time 0.739 (0.807) Data 0.003 (0.002) Loss 2.1966 (2.0843) Prec@1 44.375 (46.664) Prec@5 75.625 (77.149) Epoch: [37][6940/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.3657 (2.0843) Prec@1 43.125 (46.664) Prec@5 71.250 (77.147) Epoch: [37][6950/11272] Time 0.865 (0.807) Data 0.001 (0.002) Loss 2.1327 (2.0843) Prec@1 38.750 (46.663) Prec@5 76.875 (77.146) Epoch: [37][6960/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.1611 (2.0843) Prec@1 45.625 (46.663) Prec@5 78.125 (77.148) Epoch: [37][6970/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.1083 (2.0844) Prec@1 41.875 (46.661) Prec@5 76.875 (77.149) Epoch: [37][6980/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 1.9717 (2.0843) Prec@1 45.625 (46.663) Prec@5 77.500 (77.149) Epoch: [37][6990/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.0063 (2.0844) Prec@1 52.500 (46.661) Prec@5 79.375 (77.148) Epoch: [37][7000/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 2.4694 (2.0845) Prec@1 43.750 (46.657) Prec@5 70.000 (77.145) Epoch: [37][7010/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.0128 (2.0846) Prec@1 47.500 (46.657) Prec@5 81.875 (77.145) Epoch: [37][7020/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 2.1285 (2.0847) Prec@1 50.625 (46.655) Prec@5 72.500 (77.141) Epoch: [37][7030/11272] Time 0.927 (0.807) Data 0.002 (0.002) Loss 2.0688 (2.0848) Prec@1 45.625 (46.653) Prec@5 76.250 (77.139) Epoch: [37][7040/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.2045 (2.0849) Prec@1 43.750 (46.651) Prec@5 78.125 (77.137) Epoch: [37][7050/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.0345 (2.0849) Prec@1 46.250 (46.652) Prec@5 79.375 (77.136) Epoch: [37][7060/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.0048 (2.0849) Prec@1 48.750 (46.651) Prec@5 78.750 (77.136) Epoch: [37][7070/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.2163 (2.0848) Prec@1 43.750 (46.653) Prec@5 76.250 (77.138) Epoch: [37][7080/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.2742 (2.0849) Prec@1 41.250 (46.651) Prec@5 75.625 (77.137) Epoch: [37][7090/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 1.8062 (2.0849) Prec@1 52.500 (46.648) Prec@5 82.500 (77.136) Epoch: [37][7100/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.1515 (2.0849) Prec@1 43.750 (46.647) Prec@5 78.125 (77.137) Epoch: [37][7110/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 1.8305 (2.0849) Prec@1 53.750 (46.647) Prec@5 78.750 (77.137) Epoch: [37][7120/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 1.8727 (2.0849) Prec@1 45.625 (46.648) Prec@5 83.125 (77.138) Epoch: [37][7130/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.2182 (2.0849) Prec@1 40.000 (46.644) Prec@5 71.875 (77.138) Epoch: [37][7140/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.0816 (2.0849) Prec@1 45.625 (46.644) Prec@5 80.000 (77.138) Epoch: [37][7150/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 1.8765 (2.0849) Prec@1 46.250 (46.643) Prec@5 80.000 (77.138) Epoch: [37][7160/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.0545 (2.0848) Prec@1 42.500 (46.646) Prec@5 78.750 (77.140) Epoch: [37][7170/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.1296 (2.0848) Prec@1 43.750 (46.645) Prec@5 78.125 (77.142) Epoch: [37][7180/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.3432 (2.0849) Prec@1 39.375 (46.643) Prec@5 74.375 (77.138) Epoch: [37][7190/11272] Time 0.896 (0.807) Data 0.001 (0.002) Loss 2.2466 (2.0849) Prec@1 40.625 (46.644) Prec@5 75.000 (77.141) Epoch: [37][7200/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.1776 (2.0849) Prec@1 45.000 (46.643) Prec@5 76.250 (77.139) Epoch: [37][7210/11272] Time 0.887 (0.807) Data 0.001 (0.002) Loss 2.1420 (2.0849) Prec@1 43.750 (46.644) Prec@5 76.250 (77.140) Epoch: [37][7220/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.3175 (2.0850) Prec@1 41.250 (46.640) Prec@5 73.750 (77.140) Epoch: [37][7230/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.1729 (2.0849) Prec@1 43.750 (46.641) Prec@5 77.500 (77.140) Epoch: [37][7240/11272] Time 0.749 (0.807) Data 0.001 (0.002) Loss 2.2780 (2.0849) Prec@1 41.875 (46.642) Prec@5 75.625 (77.141) Epoch: [37][7250/11272] Time 0.923 (0.807) Data 0.002 (0.002) Loss 2.1270 (2.0849) Prec@1 51.250 (46.642) Prec@5 78.125 (77.140) Epoch: [37][7260/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 1.9606 (2.0849) Prec@1 46.875 (46.643) Prec@5 74.375 (77.140) Epoch: [37][7270/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.0206 (2.0849) Prec@1 50.625 (46.641) Prec@5 74.375 (77.139) Epoch: [37][7280/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.2226 (2.0850) Prec@1 43.750 (46.639) Prec@5 72.500 (77.137) Epoch: [37][7290/11272] Time 0.942 (0.807) Data 0.002 (0.002) Loss 2.1944 (2.0850) Prec@1 46.250 (46.639) Prec@5 75.000 (77.137) Epoch: [37][7300/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.0086 (2.0851) Prec@1 46.875 (46.639) Prec@5 75.625 (77.135) Epoch: [37][7310/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 2.2328 (2.0851) Prec@1 40.000 (46.637) Prec@5 76.875 (77.135) Epoch: [37][7320/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.2259 (2.0851) Prec@1 44.375 (46.639) Prec@5 72.500 (77.135) Epoch: [37][7330/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 1.9563 (2.0851) Prec@1 52.500 (46.641) Prec@5 81.875 (77.135) Epoch: [37][7340/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.1727 (2.0850) Prec@1 45.000 (46.641) Prec@5 74.375 (77.136) Epoch: [37][7350/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.0144 (2.0851) Prec@1 51.250 (46.641) Prec@5 75.625 (77.135) Epoch: [37][7360/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.2211 (2.0851) Prec@1 38.750 (46.641) Prec@5 76.875 (77.136) Epoch: [37][7370/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.1839 (2.0852) Prec@1 38.750 (46.640) Prec@5 76.250 (77.135) Epoch: [37][7380/11272] Time 0.800 (0.807) Data 0.002 (0.002) Loss 2.0347 (2.0853) Prec@1 45.000 (46.638) Prec@5 79.375 (77.132) Epoch: [37][7390/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 1.9461 (2.0852) Prec@1 50.625 (46.638) Prec@5 80.625 (77.134) Epoch: [37][7400/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.0989 (2.0853) Prec@1 42.500 (46.639) Prec@5 76.250 (77.134) Epoch: [37][7410/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.3557 (2.0853) Prec@1 41.875 (46.640) Prec@5 70.625 (77.133) Epoch: [37][7420/11272] Time 0.750 (0.807) Data 0.001 (0.002) Loss 2.2042 (2.0853) Prec@1 40.000 (46.640) Prec@5 75.625 (77.134) Epoch: [37][7430/11272] Time 0.788 (0.807) Data 0.002 (0.002) Loss 1.9638 (2.0853) Prec@1 45.000 (46.639) Prec@5 80.625 (77.134) Epoch: [37][7440/11272] Time 0.909 (0.807) Data 0.002 (0.002) Loss 2.1250 (2.0853) Prec@1 43.750 (46.639) Prec@5 77.500 (77.135) Epoch: [37][7450/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 1.9313 (2.0852) Prec@1 55.000 (46.642) Prec@5 82.500 (77.136) Epoch: [37][7460/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.1724 (2.0852) Prec@1 44.375 (46.641) Prec@5 73.125 (77.133) Epoch: [37][7470/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.0454 (2.0852) Prec@1 44.375 (46.643) Prec@5 77.500 (77.133) Epoch: [37][7480/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.1037 (2.0852) Prec@1 43.750 (46.641) Prec@5 78.125 (77.134) Epoch: [37][7490/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 1.8772 (2.0851) Prec@1 53.125 (46.643) Prec@5 76.875 (77.136) Epoch: [37][7500/11272] Time 0.704 (0.807) Data 0.001 (0.002) Loss 2.1927 (2.0852) Prec@1 46.250 (46.639) Prec@5 75.000 (77.135) Epoch: [37][7510/11272] Time 0.882 (0.807) Data 0.001 (0.002) Loss 1.9046 (2.0852) Prec@1 50.000 (46.641) Prec@5 80.625 (77.135) Epoch: [37][7520/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1765 (2.0851) Prec@1 43.750 (46.641) Prec@5 76.250 (77.134) Epoch: [37][7530/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.0502 (2.0851) Prec@1 52.500 (46.642) Prec@5 80.000 (77.135) Epoch: [37][7540/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 1.9899 (2.0851) Prec@1 44.375 (46.644) Prec@5 77.500 (77.134) Epoch: [37][7550/11272] Time 0.879 (0.807) Data 0.001 (0.002) Loss 2.2420 (2.0852) Prec@1 46.875 (46.643) Prec@5 76.250 (77.132) Epoch: [37][7560/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.3004 (2.0853) Prec@1 43.125 (46.641) Prec@5 74.375 (77.130) Epoch: [37][7570/11272] Time 0.799 (0.807) Data 0.002 (0.002) Loss 2.0180 (2.0854) Prec@1 48.750 (46.640) Prec@5 78.750 (77.130) Epoch: [37][7580/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.1387 (2.0853) Prec@1 43.125 (46.642) Prec@5 73.125 (77.130) Epoch: [37][7590/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.2580 (2.0853) Prec@1 42.500 (46.642) Prec@5 74.375 (77.129) Epoch: [37][7600/11272] Time 0.716 (0.807) Data 0.003 (0.002) Loss 2.0150 (2.0854) Prec@1 45.000 (46.640) Prec@5 75.625 (77.126) Epoch: [37][7610/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 1.8656 (2.0854) Prec@1 51.875 (46.638) Prec@5 79.375 (77.127) Epoch: [37][7620/11272] Time 1.001 (0.807) Data 0.002 (0.002) Loss 2.1852 (2.0854) Prec@1 47.500 (46.639) Prec@5 73.125 (77.126) Epoch: [37][7630/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.0855 (2.0854) Prec@1 40.625 (46.640) Prec@5 81.875 (77.127) Epoch: [37][7640/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.0891 (2.0853) Prec@1 44.375 (46.641) Prec@5 78.125 (77.128) Epoch: [37][7650/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.2924 (2.0855) Prec@1 44.375 (46.637) Prec@5 71.875 (77.126) Epoch: [37][7660/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 1.9769 (2.0855) Prec@1 48.750 (46.639) Prec@5 78.750 (77.127) Epoch: [37][7670/11272] Time 0.862 (0.807) Data 0.003 (0.002) Loss 2.1508 (2.0854) Prec@1 48.750 (46.641) Prec@5 73.125 (77.129) Epoch: [37][7680/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.1692 (2.0854) Prec@1 47.500 (46.640) Prec@5 75.625 (77.128) Epoch: [37][7690/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.1716 (2.0854) Prec@1 42.500 (46.639) Prec@5 74.375 (77.130) Epoch: [37][7700/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.1790 (2.0855) Prec@1 44.375 (46.636) Prec@5 76.875 (77.129) Epoch: [37][7710/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 2.2020 (2.0855) Prec@1 40.625 (46.633) Prec@5 73.125 (77.128) Epoch: [37][7720/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.0740 (2.0856) Prec@1 44.375 (46.631) Prec@5 81.250 (77.128) Epoch: [37][7730/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.3953 (2.0857) Prec@1 42.500 (46.628) Prec@5 73.750 (77.125) Epoch: [37][7740/11272] Time 0.916 (0.807) Data 0.002 (0.002) Loss 2.2110 (2.0858) Prec@1 45.000 (46.628) Prec@5 73.125 (77.123) Epoch: [37][7750/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 1.8465 (2.0859) Prec@1 51.250 (46.623) Prec@5 82.500 (77.123) Epoch: [37][7760/11272] Time 0.763 (0.807) Data 0.003 (0.002) Loss 2.0603 (2.0858) Prec@1 49.375 (46.625) Prec@5 79.375 (77.124) Epoch: [37][7770/11272] Time 0.887 (0.807) Data 0.003 (0.002) Loss 2.2404 (2.0857) Prec@1 46.250 (46.626) Prec@5 77.500 (77.125) Epoch: [37][7780/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.0510 (2.0857) Prec@1 42.500 (46.628) Prec@5 74.375 (77.125) Epoch: [37][7790/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 2.1943 (2.0856) Prec@1 42.500 (46.629) Prec@5 73.125 (77.125) Epoch: [37][7800/11272] Time 0.699 (0.807) Data 0.001 (0.002) Loss 2.0903 (2.0856) Prec@1 41.875 (46.630) Prec@5 77.500 (77.126) Epoch: [37][7810/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.0045 (2.0856) Prec@1 45.625 (46.630) Prec@5 78.750 (77.126) Epoch: [37][7820/11272] Time 0.872 (0.807) Data 0.001 (0.002) Loss 2.2319 (2.0857) Prec@1 44.375 (46.628) Prec@5 78.750 (77.125) Epoch: [37][7830/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.2751 (2.0857) Prec@1 44.375 (46.628) Prec@5 76.875 (77.126) Epoch: [37][7840/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 2.0830 (2.0858) Prec@1 48.750 (46.627) Prec@5 76.250 (77.126) Epoch: [37][7850/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 1.9332 (2.0857) Prec@1 50.625 (46.629) Prec@5 83.125 (77.127) Epoch: [37][7860/11272] Time 0.805 (0.807) Data 0.004 (0.002) Loss 2.2080 (2.0857) Prec@1 43.750 (46.629) Prec@5 71.875 (77.126) Epoch: [37][7870/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.0496 (2.0857) Prec@1 49.375 (46.630) Prec@5 78.750 (77.126) Epoch: [37][7880/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 2.1603 (2.0857) Prec@1 45.000 (46.629) Prec@5 73.750 (77.126) Epoch: [37][7890/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 1.9938 (2.0857) Prec@1 43.125 (46.627) Prec@5 80.000 (77.128) Epoch: [37][7900/11272] Time 0.799 (0.807) Data 0.001 (0.002) Loss 2.1643 (2.0858) Prec@1 41.875 (46.626) Prec@5 73.125 (77.126) Epoch: [37][7910/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.1578 (2.0859) Prec@1 41.875 (46.623) Prec@5 76.250 (77.125) Epoch: [37][7920/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.0399 (2.0859) Prec@1 46.250 (46.622) Prec@5 78.750 (77.126) Epoch: [37][7930/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1010 (2.0859) Prec@1 46.250 (46.621) Prec@5 75.625 (77.123) Epoch: [37][7940/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 1.9116 (2.0859) Prec@1 51.250 (46.620) Prec@5 75.625 (77.123) Epoch: [37][7950/11272] Time 0.717 (0.807) Data 0.002 (0.002) Loss 1.9342 (2.0858) Prec@1 43.125 (46.619) Prec@5 77.500 (77.123) Epoch: [37][7960/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.1176 (2.0859) Prec@1 46.250 (46.619) Prec@5 73.750 (77.120) Epoch: [37][7970/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.0486 (2.0859) Prec@1 45.000 (46.619) Prec@5 76.250 (77.118) Epoch: [37][7980/11272] Time 0.722 (0.807) Data 0.001 (0.002) Loss 2.0240 (2.0859) Prec@1 51.875 (46.620) Prec@5 80.000 (77.117) Epoch: [37][7990/11272] Time 0.832 (0.807) Data 0.003 (0.002) Loss 1.8049 (2.0859) Prec@1 56.250 (46.622) Prec@5 81.250 (77.117) Epoch: [37][8000/11272] Time 0.830 (0.807) Data 0.002 (0.002) Loss 2.0741 (2.0859) Prec@1 46.875 (46.620) Prec@5 76.250 (77.118) Epoch: [37][8010/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.0826 (2.0860) Prec@1 45.625 (46.619) Prec@5 78.750 (77.117) Epoch: [37][8020/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.2886 (2.0860) Prec@1 46.875 (46.618) Prec@5 68.750 (77.116) Epoch: [37][8030/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 1.9024 (2.0860) Prec@1 46.250 (46.620) Prec@5 78.750 (77.115) Epoch: [37][8040/11272] Time 0.895 (0.807) Data 0.001 (0.002) Loss 2.1380 (2.0859) Prec@1 51.250 (46.623) Prec@5 75.625 (77.117) Epoch: [37][8050/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.1689 (2.0860) Prec@1 43.750 (46.620) Prec@5 75.625 (77.117) Epoch: [37][8060/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.0066 (2.0861) Prec@1 43.125 (46.618) Prec@5 80.000 (77.117) Epoch: [37][8070/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.1437 (2.0861) Prec@1 46.875 (46.618) Prec@5 76.875 (77.117) Epoch: [37][8080/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 2.1641 (2.0861) Prec@1 47.500 (46.618) Prec@5 77.500 (77.118) Epoch: [37][8090/11272] Time 0.719 (0.807) Data 0.002 (0.002) Loss 2.0719 (2.0862) Prec@1 49.375 (46.615) Prec@5 78.125 (77.117) Epoch: [37][8100/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 1.9418 (2.0864) Prec@1 45.625 (46.612) Prec@5 80.625 (77.114) Epoch: [37][8110/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.0681 (2.0864) Prec@1 44.375 (46.613) Prec@5 75.625 (77.113) Epoch: [37][8120/11272] Time 0.942 (0.807) Data 0.002 (0.002) Loss 2.0883 (2.0864) Prec@1 45.625 (46.615) Prec@5 80.000 (77.114) Epoch: [37][8130/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1715 (2.0864) Prec@1 45.000 (46.614) Prec@5 73.750 (77.115) Epoch: [37][8140/11272] Time 0.923 (0.807) Data 0.001 (0.002) Loss 1.9236 (2.0864) Prec@1 54.375 (46.616) Prec@5 76.875 (77.116) Epoch: [37][8150/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.1739 (2.0865) Prec@1 43.125 (46.614) Prec@5 71.875 (77.115) Epoch: [37][8160/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.3493 (2.0865) Prec@1 43.750 (46.613) Prec@5 70.625 (77.114) Epoch: [37][8170/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.1795 (2.0865) Prec@1 45.625 (46.616) Prec@5 76.250 (77.114) Epoch: [37][8180/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.1129 (2.0865) Prec@1 46.250 (46.615) Prec@5 76.250 (77.113) Epoch: [37][8190/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.2308 (2.0865) Prec@1 43.125 (46.612) Prec@5 75.000 (77.112) Epoch: [37][8200/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.1448 (2.0865) Prec@1 45.000 (46.611) Prec@5 79.375 (77.113) Epoch: [37][8210/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.1069 (2.0865) Prec@1 44.375 (46.610) Prec@5 76.875 (77.114) Epoch: [37][8220/11272] Time 0.926 (0.807) Data 0.002 (0.002) Loss 2.2799 (2.0865) Prec@1 42.500 (46.606) Prec@5 70.625 (77.112) Epoch: [37][8230/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.0320 (2.0866) Prec@1 43.750 (46.604) Prec@5 79.375 (77.111) Epoch: [37][8240/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 2.3220 (2.0866) Prec@1 43.750 (46.604) Prec@5 71.250 (77.110) Epoch: [37][8250/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.2323 (2.0868) Prec@1 37.500 (46.601) Prec@5 71.875 (77.106) Epoch: [37][8260/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.0509 (2.0869) Prec@1 52.500 (46.600) Prec@5 80.000 (77.106) Epoch: [37][8270/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.2810 (2.0869) Prec@1 45.625 (46.599) Prec@5 75.000 (77.106) Epoch: [37][8280/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.1318 (2.0869) Prec@1 45.625 (46.600) Prec@5 73.125 (77.107) Epoch: [37][8290/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 1.9128 (2.0870) Prec@1 50.000 (46.597) Prec@5 80.625 (77.103) Epoch: [37][8300/11272] Time 0.854 (0.807) Data 0.003 (0.002) Loss 1.8841 (2.0870) Prec@1 47.500 (46.596) Prec@5 81.875 (77.104) Epoch: [37][8310/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.1066 (2.0870) Prec@1 44.375 (46.596) Prec@5 75.625 (77.105) Epoch: [37][8320/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 1.7516 (2.0870) Prec@1 48.750 (46.597) Prec@5 80.625 (77.106) Epoch: [37][8330/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 1.8495 (2.0870) Prec@1 49.375 (46.597) Prec@5 78.125 (77.105) Epoch: [37][8340/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 1.7262 (2.0870) Prec@1 56.875 (46.597) Prec@5 84.375 (77.106) Epoch: [37][8350/11272] Time 0.717 (0.807) Data 0.002 (0.002) Loss 2.3921 (2.0870) Prec@1 40.625 (46.595) Prec@5 75.000 (77.107) Epoch: [37][8360/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 1.8878 (2.0871) Prec@1 51.875 (46.597) Prec@5 81.250 (77.107) Epoch: [37][8370/11272] Time 0.869 (0.807) Data 0.001 (0.002) Loss 2.0333 (2.0870) Prec@1 48.750 (46.597) Prec@5 80.000 (77.108) Epoch: [37][8380/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.3127 (2.0872) Prec@1 42.500 (46.595) Prec@5 73.750 (77.106) Epoch: [37][8390/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.0506 (2.0872) Prec@1 46.250 (46.596) Prec@5 78.125 (77.107) Epoch: [37][8400/11272] Time 0.892 (0.807) Data 0.001 (0.002) Loss 2.1955 (2.0872) Prec@1 38.750 (46.594) Prec@5 75.000 (77.106) Epoch: [37][8410/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.0315 (2.0872) Prec@1 50.625 (46.594) Prec@5 79.375 (77.105) Epoch: [37][8420/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 2.1379 (2.0872) Prec@1 46.875 (46.594) Prec@5 75.625 (77.105) Epoch: [37][8430/11272] Time 0.763 (0.807) Data 0.001 (0.002) Loss 2.2229 (2.0873) Prec@1 44.375 (46.593) Prec@5 71.250 (77.103) Epoch: [37][8440/11272] Time 0.837 (0.807) Data 0.003 (0.002) Loss 2.1430 (2.0874) Prec@1 43.750 (46.592) Prec@5 74.375 (77.101) Epoch: [37][8450/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.3225 (2.0873) Prec@1 46.875 (46.592) Prec@5 71.250 (77.103) Epoch: [37][8460/11272] Time 0.742 (0.807) Data 0.002 (0.002) Loss 2.1349 (2.0873) Prec@1 46.875 (46.593) Prec@5 76.250 (77.102) Epoch: [37][8470/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.2723 (2.0873) Prec@1 42.500 (46.593) Prec@5 76.250 (77.103) Epoch: [37][8480/11272] Time 0.883 (0.807) Data 0.002 (0.002) Loss 2.1109 (2.0874) Prec@1 48.750 (46.593) Prec@5 76.875 (77.102) Epoch: [37][8490/11272] Time 0.846 (0.807) Data 0.001 (0.002) Loss 2.0911 (2.0874) Prec@1 50.625 (46.593) Prec@5 76.875 (77.102) Epoch: [37][8500/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 1.9701 (2.0873) Prec@1 55.000 (46.595) Prec@5 83.125 (77.105) Epoch: [37][8510/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 1.9473 (2.0873) Prec@1 50.000 (46.595) Prec@5 79.375 (77.105) Epoch: [37][8520/11272] Time 0.896 (0.807) Data 0.002 (0.002) Loss 2.1544 (2.0874) Prec@1 43.125 (46.593) Prec@5 76.250 (77.105) Epoch: [37][8530/11272] Time 0.747 (0.807) Data 0.003 (0.002) Loss 2.1461 (2.0873) Prec@1 50.625 (46.594) Prec@5 76.250 (77.107) Epoch: [37][8540/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.0054 (2.0872) Prec@1 48.125 (46.597) Prec@5 81.250 (77.109) Epoch: [37][8550/11272] Time 0.926 (0.807) Data 0.002 (0.002) Loss 1.9683 (2.0871) Prec@1 50.625 (46.598) Prec@5 79.375 (77.110) Epoch: [37][8560/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.1387 (2.0871) Prec@1 41.250 (46.599) Prec@5 76.250 (77.109) Epoch: [37][8570/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 1.9302 (2.0870) Prec@1 44.375 (46.600) Prec@5 78.750 (77.110) Epoch: [37][8580/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 2.2645 (2.0871) Prec@1 45.000 (46.599) Prec@5 75.625 (77.110) Epoch: [37][8590/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.1111 (2.0870) Prec@1 45.625 (46.599) Prec@5 79.375 (77.110) Epoch: [37][8600/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.2895 (2.0870) Prec@1 41.250 (46.598) Prec@5 75.000 (77.110) Epoch: [37][8610/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.1886 (2.0871) Prec@1 48.750 (46.598) Prec@5 72.500 (77.111) Epoch: [37][8620/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.1623 (2.0871) Prec@1 46.875 (46.600) Prec@5 73.125 (77.110) Epoch: [37][8630/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.3281 (2.0871) Prec@1 48.750 (46.600) Prec@5 69.375 (77.108) Epoch: [37][8640/11272] Time 0.837 (0.807) Data 0.002 (0.002) Loss 1.9746 (2.0872) Prec@1 47.500 (46.601) Prec@5 80.625 (77.108) Epoch: [37][8650/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.0792 (2.0872) Prec@1 40.625 (46.600) Prec@5 78.125 (77.107) Epoch: [37][8660/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 2.1110 (2.0873) Prec@1 46.250 (46.598) Prec@5 76.250 (77.105) Epoch: [37][8670/11272] Time 0.906 (0.807) Data 0.002 (0.002) Loss 2.0536 (2.0874) Prec@1 50.625 (46.596) Prec@5 76.875 (77.103) Epoch: [37][8680/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 1.8242 (2.0875) Prec@1 50.625 (46.595) Prec@5 80.625 (77.102) Epoch: [37][8690/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.1948 (2.0875) Prec@1 45.625 (46.595) Prec@5 74.375 (77.103) Epoch: [37][8700/11272] Time 0.816 (0.807) Data 0.001 (0.002) Loss 2.0832 (2.0874) Prec@1 48.750 (46.594) Prec@5 72.500 (77.103) Epoch: [37][8710/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 2.2308 (2.0874) Prec@1 45.625 (46.592) Prec@5 72.500 (77.104) Epoch: [37][8720/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.3589 (2.0874) Prec@1 39.375 (46.594) Prec@5 70.000 (77.104) Epoch: [37][8730/11272] Time 0.773 (0.807) Data 0.001 (0.002) Loss 2.0468 (2.0875) Prec@1 54.375 (46.594) Prec@5 76.875 (77.102) Epoch: [37][8740/11272] Time 0.860 (0.807) Data 0.001 (0.002) Loss 2.1687 (2.0874) Prec@1 47.500 (46.595) Prec@5 74.375 (77.102) Epoch: [37][8750/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.0972 (2.0874) Prec@1 45.625 (46.597) Prec@5 76.875 (77.103) Epoch: [37][8760/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 2.2017 (2.0874) Prec@1 48.125 (46.597) Prec@5 75.000 (77.101) Epoch: [37][8770/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.0413 (2.0873) Prec@1 43.750 (46.598) Prec@5 76.875 (77.102) Epoch: [37][8780/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.1510 (2.0874) Prec@1 48.750 (46.595) Prec@5 78.125 (77.102) Epoch: [37][8790/11272] Time 0.744 (0.807) Data 0.004 (0.002) Loss 2.3144 (2.0875) Prec@1 41.250 (46.592) Prec@5 74.375 (77.102) Epoch: [37][8800/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.4063 (2.0875) Prec@1 39.375 (46.593) Prec@5 71.250 (77.102) Epoch: [37][8810/11272] Time 0.888 (0.807) Data 0.002 (0.002) Loss 1.9819 (2.0875) Prec@1 51.875 (46.593) Prec@5 77.500 (77.102) Epoch: [37][8820/11272] Time 0.896 (0.807) Data 0.001 (0.002) Loss 2.1157 (2.0875) Prec@1 48.125 (46.592) Prec@5 78.125 (77.101) Epoch: [37][8830/11272] Time 0.725 (0.807) Data 0.002 (0.002) Loss 2.2803 (2.0875) Prec@1 46.250 (46.594) Prec@5 71.250 (77.101) Epoch: [37][8840/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.2761 (2.0875) Prec@1 46.250 (46.594) Prec@5 73.125 (77.102) Epoch: [37][8850/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.2021 (2.0875) Prec@1 43.750 (46.595) Prec@5 76.875 (77.104) Epoch: [37][8860/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 1.9590 (2.0875) Prec@1 54.375 (46.597) Prec@5 79.375 (77.104) Epoch: [37][8870/11272] Time 0.776 (0.807) Data 0.002 (0.002) Loss 1.9649 (2.0874) Prec@1 48.750 (46.599) Prec@5 83.125 (77.104) Epoch: [37][8880/11272] Time 0.773 (0.807) Data 0.002 (0.002) Loss 1.9518 (2.0873) Prec@1 49.375 (46.601) Prec@5 80.625 (77.105) Epoch: [37][8890/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 1.9262 (2.0872) Prec@1 46.250 (46.602) Prec@5 80.625 (77.107) Epoch: [37][8900/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.2723 (2.0872) Prec@1 39.375 (46.602) Prec@5 74.375 (77.108) Epoch: [37][8910/11272] Time 0.745 (0.807) Data 0.001 (0.002) Loss 2.3191 (2.0874) Prec@1 40.000 (46.600) Prec@5 72.500 (77.105) Epoch: [37][8920/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.1596 (2.0873) Prec@1 46.250 (46.603) Prec@5 76.875 (77.107) Epoch: [37][8930/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.2280 (2.0872) Prec@1 45.625 (46.603) Prec@5 75.000 (77.107) Epoch: [37][8940/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.4312 (2.0873) Prec@1 39.375 (46.603) Prec@5 73.125 (77.106) Epoch: [37][8950/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.0848 (2.0873) Prec@1 46.875 (46.605) Prec@5 75.625 (77.105) Epoch: [37][8960/11272] Time 0.864 (0.807) Data 0.001 (0.002) Loss 1.9611 (2.0873) Prec@1 46.875 (46.603) Prec@5 80.000 (77.106) Epoch: [37][8970/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.0966 (2.0872) Prec@1 43.125 (46.604) Prec@5 78.750 (77.107) Epoch: [37][8980/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 1.7982 (2.0872) Prec@1 54.375 (46.606) Prec@5 82.500 (77.108) Epoch: [37][8990/11272] Time 0.757 (0.807) Data 0.003 (0.002) Loss 2.2612 (2.0872) Prec@1 40.625 (46.607) Prec@5 75.000 (77.108) Epoch: [37][9000/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 1.9258 (2.0872) Prec@1 51.875 (46.606) Prec@5 80.625 (77.108) Epoch: [37][9010/11272] Time 0.827 (0.807) Data 0.002 (0.002) Loss 2.1341 (2.0872) Prec@1 46.250 (46.607) Prec@5 76.875 (77.108) Epoch: [37][9020/11272] Time 0.771 (0.807) Data 0.001 (0.002) Loss 1.9399 (2.0872) Prec@1 49.375 (46.608) Prec@5 76.875 (77.108) Epoch: [37][9030/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.0275 (2.0872) Prec@1 43.750 (46.607) Prec@5 81.250 (77.109) Epoch: [37][9040/11272] Time 0.873 (0.807) Data 0.001 (0.002) Loss 1.9401 (2.0872) Prec@1 50.625 (46.608) Prec@5 78.750 (77.108) Epoch: [37][9050/11272] Time 0.836 (0.807) Data 0.001 (0.002) Loss 1.8466 (2.0871) Prec@1 56.875 (46.607) Prec@5 81.250 (77.109) Epoch: [37][9060/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.0179 (2.0872) Prec@1 45.000 (46.606) Prec@5 77.500 (77.109) Epoch: [37][9070/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.2861 (2.0872) Prec@1 45.000 (46.604) Prec@5 73.750 (77.109) Epoch: [37][9080/11272] Time 0.848 (0.807) Data 0.001 (0.002) Loss 2.2227 (2.0872) Prec@1 45.000 (46.605) Prec@5 73.125 (77.110) Epoch: [37][9090/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 1.9553 (2.0871) Prec@1 53.750 (46.606) Prec@5 77.500 (77.110) Epoch: [37][9100/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.3644 (2.0872) Prec@1 38.750 (46.604) Prec@5 73.750 (77.109) Epoch: [37][9110/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 2.2043 (2.0872) Prec@1 47.500 (46.605) Prec@5 75.000 (77.110) Epoch: [37][9120/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1161 (2.0872) Prec@1 44.375 (46.602) Prec@5 79.375 (77.110) Epoch: [37][9130/11272] Time 0.708 (0.807) Data 0.002 (0.002) Loss 1.9985 (2.0871) Prec@1 45.625 (46.603) Prec@5 76.875 (77.111) Epoch: [37][9140/11272] Time 0.751 (0.807) Data 0.001 (0.002) Loss 2.2229 (2.0871) Prec@1 48.750 (46.603) Prec@5 73.750 (77.110) Epoch: [37][9150/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.0547 (2.0871) Prec@1 48.125 (46.605) Prec@5 75.000 (77.111) Epoch: [37][9160/11272] Time 0.809 (0.807) Data 0.002 (0.002) Loss 2.1786 (2.0871) Prec@1 45.000 (46.606) Prec@5 76.875 (77.113) Epoch: [37][9170/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.3464 (2.0871) Prec@1 45.000 (46.606) Prec@5 70.000 (77.111) Epoch: [37][9180/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.1061 (2.0871) Prec@1 45.000 (46.605) Prec@5 78.750 (77.112) Epoch: [37][9190/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.0723 (2.0871) Prec@1 50.625 (46.606) Prec@5 75.000 (77.112) Epoch: [37][9200/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 1.7766 (2.0871) Prec@1 53.125 (46.606) Prec@5 83.750 (77.114) Epoch: [37][9210/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 1.9118 (2.0871) Prec@1 48.750 (46.605) Prec@5 77.500 (77.113) Epoch: [37][9220/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.1043 (2.0871) Prec@1 50.000 (46.605) Prec@5 74.375 (77.111) Epoch: [37][9230/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.0526 (2.0871) Prec@1 49.375 (46.606) Prec@5 73.125 (77.112) Epoch: [37][9240/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.2427 (2.0870) Prec@1 42.500 (46.607) Prec@5 73.125 (77.113) Epoch: [37][9250/11272] Time 0.751 (0.807) Data 0.002 (0.002) Loss 1.9743 (2.0870) Prec@1 46.250 (46.607) Prec@5 78.125 (77.112) Epoch: [37][9260/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.0156 (2.0871) Prec@1 49.375 (46.606) Prec@5 75.000 (77.111) Epoch: [37][9270/11272] Time 0.817 (0.807) Data 0.002 (0.002) Loss 2.3798 (2.0871) Prec@1 35.000 (46.606) Prec@5 71.250 (77.111) Epoch: [37][9280/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.0749 (2.0870) Prec@1 46.250 (46.606) Prec@5 75.625 (77.113) Epoch: [37][9290/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.0289 (2.0869) Prec@1 47.500 (46.608) Prec@5 76.875 (77.113) Epoch: [37][9300/11272] Time 0.883 (0.807) Data 0.001 (0.002) Loss 2.0925 (2.0869) Prec@1 46.875 (46.609) Prec@5 78.750 (77.115) Epoch: [37][9310/11272] Time 0.866 (0.807) Data 0.003 (0.002) Loss 2.2194 (2.0869) Prec@1 43.750 (46.607) Prec@5 75.000 (77.113) Epoch: [37][9320/11272] Time 0.786 (0.807) Data 0.002 (0.002) Loss 2.2310 (2.0870) Prec@1 43.125 (46.607) Prec@5 76.250 (77.112) Epoch: [37][9330/11272] Time 0.912 (0.807) Data 0.002 (0.002) Loss 1.9918 (2.0870) Prec@1 46.875 (46.605) Prec@5 77.500 (77.110) Epoch: [37][9340/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.1437 (2.0870) Prec@1 41.250 (46.604) Prec@5 76.250 (77.111) Epoch: [37][9350/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.1546 (2.0870) Prec@1 46.250 (46.605) Prec@5 77.500 (77.112) Epoch: [37][9360/11272] Time 0.715 (0.807) Data 0.001 (0.002) Loss 2.1271 (2.0870) Prec@1 43.750 (46.605) Prec@5 77.500 (77.111) Epoch: [37][9370/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 2.0195 (2.0870) Prec@1 48.750 (46.604) Prec@5 80.000 (77.113) Epoch: [37][9380/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.1172 (2.0870) Prec@1 44.375 (46.602) Prec@5 75.000 (77.114) Epoch: [37][9390/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.0050 (2.0870) Prec@1 51.250 (46.604) Prec@5 76.875 (77.113) Epoch: [37][9400/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 1.9461 (2.0870) Prec@1 53.125 (46.605) Prec@5 82.500 (77.114) Epoch: [37][9410/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.0346 (2.0869) Prec@1 47.500 (46.606) Prec@5 81.875 (77.116) Epoch: [37][9420/11272] Time 0.899 (0.807) Data 0.003 (0.002) Loss 2.0434 (2.0868) Prec@1 46.875 (46.608) Prec@5 76.875 (77.117) Epoch: [37][9430/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 2.1678 (2.0868) Prec@1 47.500 (46.608) Prec@5 75.000 (77.118) Epoch: [37][9440/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.1765 (2.0868) Prec@1 43.125 (46.609) Prec@5 74.375 (77.119) Epoch: [37][9450/11272] Time 0.875 (0.807) Data 0.002 (0.002) Loss 2.2044 (2.0868) Prec@1 45.000 (46.609) Prec@5 78.750 (77.120) Epoch: [37][9460/11272] Time 0.754 (0.807) Data 0.003 (0.002) Loss 2.0962 (2.0868) Prec@1 47.500 (46.608) Prec@5 73.125 (77.117) Epoch: [37][9470/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 1.8988 (2.0868) Prec@1 50.000 (46.609) Prec@5 81.250 (77.118) Epoch: [37][9480/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 2.1307 (2.0867) Prec@1 46.250 (46.608) Prec@5 77.500 (77.120) Epoch: [37][9490/11272] Time 0.837 (0.807) Data 0.002 (0.002) Loss 2.0502 (2.0868) Prec@1 49.375 (46.608) Prec@5 78.125 (77.120) Epoch: [37][9500/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.0056 (2.0867) Prec@1 42.500 (46.609) Prec@5 78.125 (77.119) Epoch: [37][9510/11272] Time 0.773 (0.807) Data 0.002 (0.002) Loss 2.0172 (2.0867) Prec@1 44.375 (46.609) Prec@5 78.125 (77.120) Epoch: [37][9520/11272] Time 0.904 (0.807) Data 0.002 (0.002) Loss 1.7993 (2.0867) Prec@1 50.625 (46.608) Prec@5 83.125 (77.120) Epoch: [37][9530/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 1.9004 (2.0867) Prec@1 54.375 (46.609) Prec@5 83.125 (77.120) Epoch: [37][9540/11272] Time 0.748 (0.807) Data 0.001 (0.002) Loss 2.1488 (2.0867) Prec@1 50.000 (46.608) Prec@5 73.125 (77.118) Epoch: [37][9550/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.0776 (2.0867) Prec@1 51.250 (46.608) Prec@5 76.875 (77.119) Epoch: [37][9560/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.0619 (2.0868) Prec@1 45.625 (46.607) Prec@5 79.375 (77.117) Epoch: [37][9570/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 1.9870 (2.0868) Prec@1 41.875 (46.607) Prec@5 81.250 (77.116) Epoch: [37][9580/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.3844 (2.0868) Prec@1 41.875 (46.607) Prec@5 75.000 (77.115) Epoch: [37][9590/11272] Time 0.890 (0.807) Data 0.001 (0.002) Loss 2.1957 (2.0869) Prec@1 42.500 (46.607) Prec@5 76.875 (77.114) Epoch: [37][9600/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 1.9561 (2.0870) Prec@1 49.375 (46.603) Prec@5 83.125 (77.112) Epoch: [37][9610/11272] Time 0.768 (0.807) Data 0.001 (0.002) Loss 2.2704 (2.0871) Prec@1 42.500 (46.601) Prec@5 74.375 (77.110) Epoch: [37][9620/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.3275 (2.0872) Prec@1 41.875 (46.599) Prec@5 74.375 (77.109) Epoch: [37][9630/11272] Time 0.963 (0.807) Data 0.002 (0.002) Loss 2.3145 (2.0872) Prec@1 45.000 (46.598) Prec@5 75.000 (77.107) Epoch: [37][9640/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 1.9014 (2.0872) Prec@1 46.875 (46.600) Prec@5 78.750 (77.107) Epoch: [37][9650/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.3206 (2.0872) Prec@1 38.750 (46.598) Prec@5 74.375 (77.106) Epoch: [37][9660/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 1.9305 (2.0873) Prec@1 51.250 (46.596) Prec@5 80.625 (77.105) Epoch: [37][9670/11272] Time 0.878 (0.807) Data 0.001 (0.002) Loss 1.9752 (2.0873) Prec@1 47.500 (46.595) Prec@5 78.750 (77.104) Epoch: [37][9680/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 1.9931 (2.0873) Prec@1 46.250 (46.595) Prec@5 76.875 (77.105) Epoch: [37][9690/11272] Time 0.775 (0.807) Data 0.001 (0.002) Loss 2.0940 (2.0873) Prec@1 46.250 (46.593) Prec@5 76.875 (77.105) Epoch: [37][9700/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.1310 (2.0874) Prec@1 51.875 (46.591) Prec@5 75.625 (77.103) Epoch: [37][9710/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 1.9960 (2.0874) Prec@1 49.375 (46.589) Prec@5 78.125 (77.102) Epoch: [37][9720/11272] Time 0.758 (0.807) Data 0.003 (0.002) Loss 2.2576 (2.0875) Prec@1 43.750 (46.588) Prec@5 71.875 (77.101) Epoch: [37][9730/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 1.9267 (2.0875) Prec@1 51.250 (46.588) Prec@5 78.750 (77.102) Epoch: [37][9740/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.0821 (2.0874) Prec@1 46.875 (46.589) Prec@5 75.625 (77.103) Epoch: [37][9750/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.0784 (2.0874) Prec@1 50.000 (46.590) Prec@5 78.125 (77.102) Epoch: [37][9760/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 1.8592 (2.0874) Prec@1 50.000 (46.590) Prec@5 81.250 (77.101) Epoch: [37][9770/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 1.8844 (2.0875) Prec@1 49.375 (46.588) Prec@5 81.875 (77.100) Epoch: [37][9780/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.1189 (2.0875) Prec@1 50.625 (46.589) Prec@5 78.125 (77.101) Epoch: [37][9790/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.0129 (2.0875) Prec@1 46.250 (46.588) Prec@5 79.375 (77.102) Epoch: [37][9800/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.0574 (2.0875) Prec@1 48.750 (46.588) Prec@5 77.500 (77.101) Epoch: [37][9810/11272] Time 0.756 (0.807) Data 0.001 (0.002) Loss 1.9071 (2.0876) Prec@1 47.500 (46.586) Prec@5 83.125 (77.101) Epoch: [37][9820/11272] Time 0.845 (0.807) Data 0.001 (0.002) Loss 2.0525 (2.0875) Prec@1 46.250 (46.585) Prec@5 76.250 (77.102) Epoch: [37][9830/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.1864 (2.0876) Prec@1 45.625 (46.583) Prec@5 75.000 (77.099) Epoch: [37][9840/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.0108 (2.0877) Prec@1 50.000 (46.581) Prec@5 81.250 (77.098) Epoch: [37][9850/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 1.8816 (2.0878) Prec@1 52.500 (46.577) Prec@5 80.000 (77.097) Epoch: [37][9860/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.1438 (2.0878) Prec@1 48.750 (46.576) Prec@5 77.500 (77.097) Epoch: [37][9870/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.1757 (2.0879) Prec@1 45.625 (46.575) Prec@5 76.250 (77.096) Epoch: [37][9880/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.0159 (2.0879) Prec@1 49.375 (46.575) Prec@5 75.625 (77.096) Epoch: [37][9890/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 1.8667 (2.0879) Prec@1 53.125 (46.575) Prec@5 79.375 (77.095) Epoch: [37][9900/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.1366 (2.0879) Prec@1 48.750 (46.576) Prec@5 77.500 (77.095) Epoch: [37][9910/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.1310 (2.0879) Prec@1 48.125 (46.575) Prec@5 75.625 (77.095) Epoch: [37][9920/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.0824 (2.0879) Prec@1 48.125 (46.575) Prec@5 77.500 (77.094) Epoch: [37][9930/11272] Time 0.904 (0.807) Data 0.001 (0.002) Loss 2.1304 (2.0879) Prec@1 45.625 (46.574) Prec@5 77.500 (77.094) Epoch: [37][9940/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.0447 (2.0880) Prec@1 44.375 (46.574) Prec@5 76.250 (77.094) Epoch: [37][9950/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 1.8720 (2.0879) Prec@1 52.500 (46.575) Prec@5 80.625 (77.094) Epoch: [37][9960/11272] Time 0.771 (0.807) Data 0.002 (0.002) Loss 1.9606 (2.0879) Prec@1 51.875 (46.575) Prec@5 77.500 (77.095) Epoch: [37][9970/11272] Time 0.870 (0.807) Data 0.001 (0.002) Loss 2.0364 (2.0879) Prec@1 45.000 (46.575) Prec@5 75.625 (77.095) Epoch: [37][9980/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.2038 (2.0879) Prec@1 45.000 (46.575) Prec@5 70.625 (77.094) Epoch: [37][9990/11272] Time 0.744 (0.807) Data 0.001 (0.002) Loss 1.9923 (2.0878) Prec@1 50.000 (46.578) Prec@5 76.250 (77.098) Epoch: [37][10000/11272] Time 0.894 (0.807) Data 0.001 (0.002) Loss 1.9494 (2.0878) Prec@1 42.500 (46.576) Prec@5 76.875 (77.098) Epoch: [37][10010/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.0965 (2.0878) Prec@1 45.625 (46.576) Prec@5 79.375 (77.099) Epoch: [37][10020/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.3051 (2.0879) Prec@1 44.375 (46.574) Prec@5 71.250 (77.099) Epoch: [37][10030/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 2.0028 (2.0879) Prec@1 49.375 (46.575) Prec@5 81.875 (77.098) Epoch: [37][10040/11272] Time 0.872 (0.807) Data 0.001 (0.002) Loss 1.9382 (2.0879) Prec@1 50.000 (46.575) Prec@5 77.500 (77.096) Epoch: [37][10050/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 1.9519 (2.0879) Prec@1 45.625 (46.575) Prec@5 80.625 (77.097) Epoch: [37][10060/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 1.9667 (2.0879) Prec@1 50.000 (46.574) Prec@5 78.125 (77.098) Epoch: [37][10070/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.2085 (2.0879) Prec@1 40.000 (46.574) Prec@5 79.375 (77.098) Epoch: [37][10080/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 1.8031 (2.0880) Prec@1 57.500 (46.574) Prec@5 81.875 (77.096) Epoch: [37][10090/11272] Time 0.887 (0.807) Data 0.001 (0.002) Loss 2.2902 (2.0880) Prec@1 43.750 (46.572) Prec@5 72.500 (77.095) Epoch: [37][10100/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 1.7581 (2.0880) Prec@1 54.375 (46.573) Prec@5 83.750 (77.095) Epoch: [37][10110/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.1046 (2.0880) Prec@1 46.250 (46.574) Prec@5 78.750 (77.094) Epoch: [37][10120/11272] Time 0.837 (0.807) Data 0.002 (0.002) Loss 2.1203 (2.0881) Prec@1 48.750 (46.573) Prec@5 78.125 (77.091) Epoch: [37][10130/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 2.3081 (2.0882) Prec@1 41.250 (46.571) Prec@5 73.125 (77.090) Epoch: [37][10140/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 1.9702 (2.0882) Prec@1 53.125 (46.571) Prec@5 79.375 (77.091) Epoch: [37][10150/11272] Time 0.903 (0.807) Data 0.001 (0.002) Loss 2.1602 (2.0882) Prec@1 47.500 (46.571) Prec@5 73.125 (77.090) Epoch: [37][10160/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.1714 (2.0882) Prec@1 45.000 (46.570) Prec@5 76.875 (77.089) Epoch: [37][10170/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.0724 (2.0882) Prec@1 46.250 (46.571) Prec@5 81.250 (77.090) Epoch: [37][10180/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.0836 (2.0883) Prec@1 46.875 (46.570) Prec@5 77.500 (77.089) Epoch: [37][10190/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.1389 (2.0883) Prec@1 44.375 (46.570) Prec@5 78.750 (77.089) Epoch: [37][10200/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 1.9370 (2.0883) Prec@1 48.125 (46.569) Prec@5 76.250 (77.088) Epoch: [37][10210/11272] Time 0.759 (0.807) Data 0.002 (0.002) Loss 2.2921 (2.0882) Prec@1 41.875 (46.571) Prec@5 70.625 (77.090) Epoch: [37][10220/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.1177 (2.0882) Prec@1 49.375 (46.572) Prec@5 82.500 (77.089) Epoch: [37][10230/11272] Time 1.002 (0.807) Data 0.002 (0.002) Loss 1.9936 (2.0882) Prec@1 50.000 (46.572) Prec@5 78.750 (77.089) Epoch: [37][10240/11272] Time 0.907 (0.807) Data 0.004 (0.002) Loss 2.0315 (2.0882) Prec@1 50.000 (46.571) Prec@5 78.750 (77.088) Epoch: [37][10250/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.2253 (2.0884) Prec@1 42.500 (46.567) Prec@5 74.375 (77.087) Epoch: [37][10260/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.0058 (2.0883) Prec@1 46.250 (46.567) Prec@5 81.875 (77.087) Epoch: [37][10270/11272] Time 0.829 (0.807) Data 0.002 (0.002) Loss 1.9706 (2.0883) Prec@1 50.000 (46.567) Prec@5 78.125 (77.089) Epoch: [37][10280/11272] Time 0.742 (0.807) Data 0.001 (0.002) Loss 2.1812 (2.0884) Prec@1 40.000 (46.563) Prec@5 72.500 (77.087) Epoch: [37][10290/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 1.9727 (2.0884) Prec@1 46.875 (46.564) Prec@5 79.375 (77.088) Epoch: [37][10300/11272] Time 0.887 (0.807) Data 0.001 (0.002) Loss 2.1103 (2.0884) Prec@1 41.875 (46.564) Prec@5 79.375 (77.089) Epoch: [37][10310/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 1.9888 (2.0884) Prec@1 43.750 (46.564) Prec@5 83.125 (77.089) Epoch: [37][10320/11272] Time 0.752 (0.807) Data 0.001 (0.002) Loss 2.1585 (2.0884) Prec@1 43.750 (46.562) Prec@5 77.500 (77.089) Epoch: [37][10330/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.3349 (2.0884) Prec@1 44.375 (46.562) Prec@5 70.000 (77.088) Epoch: [37][10340/11272] Time 0.913 (0.807) Data 0.002 (0.002) Loss 1.9505 (2.0884) Prec@1 48.125 (46.563) Prec@5 80.625 (77.089) Epoch: [37][10350/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 2.1730 (2.0884) Prec@1 43.750 (46.561) Prec@5 75.625 (77.088) Epoch: [37][10360/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.1108 (2.0884) Prec@1 46.875 (46.563) Prec@5 79.375 (77.088) Epoch: [37][10370/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.0890 (2.0884) Prec@1 43.125 (46.563) Prec@5 78.750 (77.089) Epoch: [37][10380/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 1.8552 (2.0884) Prec@1 50.000 (46.564) Prec@5 80.625 (77.089) Epoch: [37][10390/11272] Time 0.729 (0.807) Data 0.004 (0.002) Loss 1.9015 (2.0884) Prec@1 46.250 (46.566) Prec@5 77.500 (77.090) Epoch: [37][10400/11272] Time 0.772 (0.807) Data 0.002 (0.002) Loss 2.3235 (2.0884) Prec@1 47.500 (46.565) Prec@5 75.000 (77.089) Epoch: [37][10410/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 1.9859 (2.0884) Prec@1 55.000 (46.566) Prec@5 76.875 (77.088) Epoch: [37][10420/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.2108 (2.0884) Prec@1 39.375 (46.565) Prec@5 70.625 (77.087) Epoch: [37][10430/11272] Time 0.767 (0.807) Data 0.001 (0.002) Loss 1.9504 (2.0885) Prec@1 50.000 (46.564) Prec@5 78.125 (77.086) Epoch: [37][10440/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.3247 (2.0885) Prec@1 41.250 (46.564) Prec@5 74.375 (77.087) Epoch: [37][10450/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 2.0341 (2.0885) Prec@1 55.625 (46.564) Prec@5 79.375 (77.087) Epoch: [37][10460/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 1.9752 (2.0886) Prec@1 46.250 (46.563) Prec@5 78.125 (77.085) Epoch: [37][10470/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.3955 (2.0886) Prec@1 42.500 (46.563) Prec@5 71.875 (77.084) Epoch: [37][10480/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 1.9741 (2.0886) Prec@1 50.625 (46.561) Prec@5 76.250 (77.083) Epoch: [37][10490/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.0895 (2.0886) Prec@1 48.750 (46.562) Prec@5 78.750 (77.085) Epoch: [37][10500/11272] Time 0.810 (0.807) Data 0.001 (0.002) Loss 2.3238 (2.0887) Prec@1 42.500 (46.560) Prec@5 73.750 (77.084) Epoch: [37][10510/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.2126 (2.0887) Prec@1 43.750 (46.559) Prec@5 75.625 (77.084) Epoch: [37][10520/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 2.1347 (2.0888) Prec@1 39.375 (46.559) Prec@5 74.375 (77.083) Epoch: [37][10530/11272] Time 0.817 (0.807) Data 0.002 (0.002) Loss 2.1339 (2.0887) Prec@1 44.375 (46.560) Prec@5 76.250 (77.083) Epoch: [37][10540/11272] Time 0.765 (0.807) Data 0.001 (0.002) Loss 2.1520 (2.0888) Prec@1 47.500 (46.560) Prec@5 76.875 (77.082) Epoch: [37][10550/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 1.9865 (2.0888) Prec@1 48.750 (46.559) Prec@5 80.000 (77.083) Epoch: [37][10560/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.0942 (2.0888) Prec@1 50.000 (46.559) Prec@5 78.125 (77.084) Epoch: [37][10570/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.1348 (2.0888) Prec@1 41.875 (46.558) Prec@5 79.375 (77.084) Epoch: [37][10580/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.1080 (2.0888) Prec@1 46.250 (46.559) Prec@5 71.250 (77.084) Epoch: [37][10590/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 1.9717 (2.0888) Prec@1 49.375 (46.560) Prec@5 75.625 (77.083) Epoch: [37][10600/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.2634 (2.0889) Prec@1 41.250 (46.558) Prec@5 74.375 (77.082) Epoch: [37][10610/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.0700 (2.0889) Prec@1 41.875 (46.557) Prec@5 76.875 (77.082) Epoch: [37][10620/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.1564 (2.0890) Prec@1 41.875 (46.555) Prec@5 76.875 (77.080) Epoch: [37][10630/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.3939 (2.0890) Prec@1 37.500 (46.552) Prec@5 77.500 (77.078) Epoch: [37][10640/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.0103 (2.0890) Prec@1 50.625 (46.552) Prec@5 73.125 (77.078) Epoch: [37][10650/11272] Time 0.758 (0.807) Data 0.003 (0.002) Loss 2.0642 (2.0890) Prec@1 53.750 (46.554) Prec@5 77.500 (77.077) Epoch: [37][10660/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 2.0960 (2.0891) Prec@1 47.500 (46.552) Prec@5 72.500 (77.076) Epoch: [37][10670/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.0515 (2.0891) Prec@1 47.500 (46.551) Prec@5 76.875 (77.078) Epoch: [37][10680/11272] Time 0.877 (0.807) Data 0.001 (0.002) Loss 1.9985 (2.0890) Prec@1 50.625 (46.553) Prec@5 76.875 (77.079) Epoch: [37][10690/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 1.9868 (2.0890) Prec@1 48.750 (46.553) Prec@5 76.875 (77.079) Epoch: [37][10700/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.0128 (2.0889) Prec@1 50.000 (46.554) Prec@5 79.375 (77.080) Epoch: [37][10710/11272] Time 0.810 (0.807) Data 0.001 (0.002) Loss 2.0595 (2.0889) Prec@1 46.250 (46.554) Prec@5 75.625 (77.081) Epoch: [37][10720/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.0924 (2.0890) Prec@1 50.625 (46.552) Prec@5 75.625 (77.080) Epoch: [37][10730/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 2.3188 (2.0890) Prec@1 42.500 (46.552) Prec@5 69.375 (77.078) Epoch: [37][10740/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.0720 (2.0890) Prec@1 50.000 (46.553) Prec@5 73.750 (77.079) Epoch: [37][10750/11272] Time 0.832 (0.807) Data 0.001 (0.002) Loss 1.7546 (2.0890) Prec@1 52.500 (46.553) Prec@5 84.375 (77.081) Epoch: [37][10760/11272] Time 0.831 (0.807) Data 0.002 (0.002) Loss 2.1605 (2.0890) Prec@1 48.125 (46.553) Prec@5 76.875 (77.081) Epoch: [37][10770/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.2474 (2.0890) Prec@1 45.625 (46.553) Prec@5 73.125 (77.080) Epoch: [37][10780/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 1.9360 (2.0890) Prec@1 50.000 (46.551) Prec@5 78.750 (77.079) Epoch: [37][10790/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 2.0694 (2.0890) Prec@1 46.875 (46.550) Prec@5 78.125 (77.078) Epoch: [37][10800/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.3737 (2.0890) Prec@1 43.125 (46.552) Prec@5 71.875 (77.078) Epoch: [37][10810/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.3081 (2.0891) Prec@1 40.625 (46.550) Prec@5 73.125 (77.075) Epoch: [37][10820/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.2420 (2.0891) Prec@1 42.500 (46.552) Prec@5 75.625 (77.075) Epoch: [37][10830/11272] Time 0.867 (0.807) Data 0.001 (0.002) Loss 2.0208 (2.0891) Prec@1 47.500 (46.552) Prec@5 75.625 (77.076) Epoch: [37][10840/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.0303 (2.0892) Prec@1 49.375 (46.551) Prec@5 76.875 (77.074) Epoch: [37][10850/11272] Time 0.738 (0.807) Data 0.002 (0.002) Loss 2.3272 (2.0892) Prec@1 41.875 (46.550) Prec@5 70.625 (77.073) Epoch: [37][10860/11272] Time 0.826 (0.807) Data 0.001 (0.002) Loss 2.0851 (2.0892) Prec@1 43.750 (46.549) Prec@5 77.500 (77.073) Epoch: [37][10870/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.2468 (2.0892) Prec@1 44.375 (46.549) Prec@5 71.250 (77.072) Epoch: [37][10880/11272] Time 0.739 (0.807) Data 0.001 (0.002) Loss 2.2372 (2.0892) Prec@1 44.375 (46.548) Prec@5 76.250 (77.072) Epoch: [37][10890/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.1250 (2.0892) Prec@1 43.125 (46.549) Prec@5 76.250 (77.071) Epoch: [37][10900/11272] Time 0.832 (0.807) Data 0.002 (0.002) Loss 2.2506 (2.0892) Prec@1 45.000 (46.549) Prec@5 75.000 (77.070) Epoch: [37][10910/11272] Time 0.835 (0.807) Data 0.003 (0.002) Loss 1.9407 (2.0892) Prec@1 55.625 (46.551) Prec@5 80.000 (77.071) Epoch: [37][10920/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.0343 (2.0892) Prec@1 48.125 (46.552) Prec@5 75.625 (77.071) Epoch: [37][10930/11272] Time 0.874 (0.807) Data 0.001 (0.002) Loss 1.9373 (2.0892) Prec@1 49.375 (46.552) Prec@5 78.125 (77.071) Epoch: [37][10940/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.2967 (2.0892) Prec@1 38.125 (46.552) Prec@5 74.375 (77.069) Epoch: [37][10950/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 2.2325 (2.0893) Prec@1 46.250 (46.550) Prec@5 73.750 (77.068) Epoch: [37][10960/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.0768 (2.0893) Prec@1 45.000 (46.550) Prec@5 75.625 (77.067) Epoch: [37][10970/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.2037 (2.0893) Prec@1 45.000 (46.550) Prec@5 78.125 (77.068) Epoch: [37][10980/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.0078 (2.0892) Prec@1 47.500 (46.553) Prec@5 78.750 (77.068) Epoch: [37][10990/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.2011 (2.0891) Prec@1 39.375 (46.552) Prec@5 74.375 (77.069) Epoch: [37][11000/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.0516 (2.0891) Prec@1 48.125 (46.552) Prec@5 78.750 (77.070) Epoch: [37][11010/11272] Time 0.842 (0.807) Data 0.002 (0.002) Loss 2.3364 (2.0892) Prec@1 43.750 (46.552) Prec@5 73.125 (77.069) Epoch: [37][11020/11272] Time 0.820 (0.807) Data 0.001 (0.002) Loss 2.1768 (2.0892) Prec@1 41.250 (46.552) Prec@5 76.875 (77.070) Epoch: [37][11030/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.0858 (2.0892) Prec@1 48.125 (46.552) Prec@5 76.875 (77.070) Epoch: [37][11040/11272] Time 0.757 (0.807) Data 0.001 (0.002) Loss 2.1919 (2.0892) Prec@1 41.875 (46.552) Prec@5 76.250 (77.070) Epoch: [37][11050/11272] Time 0.838 (0.807) Data 0.001 (0.002) Loss 1.8568 (2.0891) Prec@1 51.250 (46.554) Prec@5 80.625 (77.070) Epoch: [37][11060/11272] Time 0.728 (0.807) Data 0.001 (0.002) Loss 2.0157 (2.0891) Prec@1 50.625 (46.555) Prec@5 80.625 (77.071) Epoch: [37][11070/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.1601 (2.0892) Prec@1 48.125 (46.553) Prec@5 75.000 (77.069) Epoch: [37][11080/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 1.9462 (2.0892) Prec@1 49.375 (46.553) Prec@5 84.375 (77.069) Epoch: [37][11090/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.1313 (2.0893) Prec@1 44.375 (46.551) Prec@5 76.250 (77.068) Epoch: [37][11100/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.0921 (2.0893) Prec@1 48.125 (46.551) Prec@5 77.500 (77.067) Epoch: [37][11110/11272] Time 0.723 (0.806) Data 0.002 (0.002) Loss 2.1206 (2.0893) Prec@1 47.500 (46.552) Prec@5 75.625 (77.065) Epoch: [37][11120/11272] Time 0.832 (0.806) Data 0.001 (0.002) Loss 2.2440 (2.0893) Prec@1 40.625 (46.554) Prec@5 76.875 (77.064) Epoch: [37][11130/11272] Time 0.860 (0.806) Data 0.001 (0.002) Loss 1.9222 (2.0893) Prec@1 48.750 (46.553) Prec@5 78.125 (77.063) Epoch: [37][11140/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 1.9343 (2.0894) Prec@1 46.250 (46.551) Prec@5 82.500 (77.062) Epoch: [37][11150/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.0344 (2.0894) Prec@1 47.500 (46.551) Prec@5 78.125 (77.062) Epoch: [37][11160/11272] Time 0.832 (0.806) Data 0.001 (0.002) Loss 1.9634 (2.0893) Prec@1 52.500 (46.554) Prec@5 77.500 (77.064) Epoch: [37][11170/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.1810 (2.0893) Prec@1 43.750 (46.553) Prec@5 79.375 (77.064) Epoch: [37][11180/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 2.0805 (2.0893) Prec@1 49.375 (46.555) Prec@5 81.875 (77.064) Epoch: [37][11190/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.3865 (2.0893) Prec@1 42.500 (46.553) Prec@5 73.125 (77.063) Epoch: [37][11200/11272] Time 0.806 (0.806) Data 0.001 (0.002) Loss 2.1021 (2.0893) Prec@1 42.500 (46.551) Prec@5 76.875 (77.064) Epoch: [37][11210/11272] Time 0.729 (0.806) Data 0.001 (0.002) Loss 2.2449 (2.0894) Prec@1 46.250 (46.551) Prec@5 73.125 (77.063) Epoch: [37][11220/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.0714 (2.0893) Prec@1 45.000 (46.552) Prec@5 80.000 (77.065) Epoch: [37][11230/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.0711 (2.0893) Prec@1 46.875 (46.553) Prec@5 74.375 (77.065) Epoch: [37][11240/11272] Time 0.833 (0.806) Data 0.002 (0.002) Loss 2.0685 (2.0893) Prec@1 44.375 (46.553) Prec@5 79.375 (77.065) Epoch: [37][11250/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 1.8729 (2.0893) Prec@1 49.375 (46.553) Prec@5 81.875 (77.064) Epoch: [37][11260/11272] Time 0.744 (0.806) Data 0.001 (0.002) Loss 1.9683 (2.0893) Prec@1 48.750 (46.554) Prec@5 78.750 (77.065) Epoch: [37][11270/11272] Time 0.804 (0.806) Data 0.000 (0.002) Loss 2.4183 (2.0894) Prec@1 41.250 (46.553) Prec@5 75.000 (77.065) Test: [0/229] Time 1.846 (1.846) Loss 0.9511 (0.9511) Prec@1 76.250 (76.250) Prec@5 95.000 (95.000) Test: [10/229] Time 0.393 (0.517) Loss 1.1858 (1.6274) Prec@1 63.750 (56.648) Prec@5 94.375 (86.761) Test: [20/229] Time 0.437 (0.461) Loss 2.0785 (1.7255) Prec@1 45.000 (53.155) Prec@5 78.750 (84.940) Test: [30/229] Time 0.358 (0.436) Loss 1.8800 (1.6821) Prec@1 46.875 (54.677) Prec@5 85.625 (85.222) Test: [40/229] Time 0.342 (0.428) Loss 0.3571 (1.6702) Prec@1 91.250 (55.122) Prec@5 96.875 (85.107) Test: [50/229] Time 0.426 (0.423) Loss 2.3569 (1.7305) Prec@1 33.750 (53.873) Prec@5 78.125 (83.909) Test: [60/229] Time 0.349 (0.417) Loss 1.9275 (1.7225) Prec@1 41.875 (53.760) Prec@5 82.500 (83.965) Test: [70/229] Time 0.447 (0.415) Loss 1.3919 (1.7383) Prec@1 68.750 (53.556) Prec@5 84.375 (83.785) Test: [80/229] Time 0.355 (0.411) Loss 2.1542 (1.7704) Prec@1 38.750 (52.392) Prec@5 85.625 (83.596) Test: [90/229] Time 0.445 (0.409) Loss 1.3742 (1.7785) Prec@1 66.250 (52.225) Prec@5 86.250 (83.544) Test: [100/229] Time 0.352 (0.407) Loss 2.1336 (1.7744) Prec@1 46.875 (52.543) Prec@5 82.500 (83.620) Test: [110/229] Time 0.356 (0.404) Loss 1.3026 (1.7584) Prec@1 65.625 (52.860) Prec@5 88.125 (83.885) Test: [120/229] Time 0.421 (0.402) Loss 2.7805 (1.7764) Prec@1 31.875 (52.314) Prec@5 67.500 (83.564) Test: [130/229] Time 0.355 (0.399) Loss 1.1999 (1.7590) Prec@1 60.625 (52.634) Prec@5 93.125 (83.884) Test: [140/229] Time 0.433 (0.398) Loss 1.7260 (1.7732) Prec@1 53.125 (52.340) Prec@5 81.875 (83.741) Test: [150/229] Time 0.339 (0.399) Loss 1.0592 (1.7843) Prec@1 76.250 (52.214) Prec@5 91.250 (83.576) Test: [160/229] Time 0.501 (0.399) Loss 1.9910 (1.7904) Prec@1 56.875 (52.050) Prec@5 83.750 (83.467) Test: [170/229] Time 0.474 (0.399) Loss 2.1549 (1.8061) Prec@1 43.125 (51.601) Prec@5 76.250 (83.231) Test: [180/229] Time 0.378 (0.399) Loss 2.4612 (1.8134) Prec@1 35.625 (51.516) Prec@5 71.250 (83.052) Test: [190/229] Time 0.457 (0.398) Loss 1.2754 (1.8021) Prec@1 65.000 (51.793) Prec@5 93.125 (83.197) Test: [200/229] Time 0.342 (0.397) Loss 1.8668 (1.7971) Prec@1 50.000 (51.791) Prec@5 80.000 (83.327) Test: [210/229] Time 0.419 (0.397) Loss 1.0799 (1.7857) Prec@1 68.125 (52.059) Prec@5 93.750 (83.498) Test: [220/229] Time 0.355 (0.397) Loss 1.4696 (1.7758) Prec@1 63.125 (52.401) Prec@5 88.125 (83.592) * Prec@1 52.706 Prec@5 83.699 Epoch: [38][0/11272] Time 3.178 (3.178) Data 2.256 (2.256) Loss 2.1545 (2.1545) Prec@1 43.125 (43.125) Prec@5 75.000 (75.000) Epoch: [38][10/11272] Time 0.849 (1.013) Data 0.001 (0.206) Loss 1.8975 (2.0311) Prec@1 51.250 (47.784) Prec@5 75.625 (77.500) Epoch: [38][20/11272] Time 0.727 (0.899) Data 0.002 (0.109) Loss 1.8279 (2.0155) Prec@1 53.125 (48.631) Prec@5 84.375 (78.363) Epoch: [38][30/11272] Time 0.742 (0.863) Data 0.002 (0.074) Loss 2.0973 (2.0294) Prec@1 48.125 (48.085) Prec@5 76.875 (78.065) Epoch: [38][40/11272] Time 0.830 (0.847) Data 0.001 (0.057) Loss 1.9778 (2.0425) Prec@1 45.625 (47.332) Prec@5 77.500 (77.973) Epoch: [38][50/11272] Time 0.821 (0.834) Data 0.001 (0.046) Loss 1.9793 (2.0479) Prec@1 48.125 (47.365) Prec@5 76.875 (77.929) Epoch: [38][60/11272] Time 0.733 (0.825) Data 0.002 (0.038) Loss 1.9342 (2.0515) Prec@1 46.875 (47.367) Prec@5 78.750 (77.715) Epoch: [38][70/11272] Time 0.727 (0.819) Data 0.002 (0.033) Loss 2.1810 (2.0536) Prec@1 44.375 (47.245) Prec@5 76.250 (77.835) Epoch: [38][80/11272] Time 0.889 (0.817) Data 0.002 (0.029) Loss 1.9602 (2.0529) Prec@1 52.500 (47.207) Prec@5 77.500 (77.755) Epoch: [38][90/11272] Time 0.834 (0.814) Data 0.002 (0.026) Loss 2.0373 (2.0569) Prec@1 47.500 (47.095) Prec@5 78.750 (77.761) Epoch: [38][100/11272] Time 0.757 (0.811) Data 0.001 (0.024) Loss 2.0296 (2.0570) Prec@1 48.750 (47.061) Prec@5 78.750 (77.834) Epoch: [38][110/11272] Time 0.724 (0.809) Data 0.001 (0.022) Loss 1.9716 (2.0585) Prec@1 51.875 (46.948) Prec@5 77.500 (77.889) Epoch: [38][120/11272] Time 0.842 (0.808) Data 0.001 (0.020) Loss 2.1314 (2.0644) Prec@1 46.875 (46.901) Prec@5 78.750 (77.743) Epoch: [38][130/11272] Time 0.743 (0.806) Data 0.002 (0.019) Loss 1.9306 (2.0613) Prec@1 46.875 (47.004) Prec@5 80.625 (77.820) Epoch: [38][140/11272] Time 0.742 (0.806) Data 0.002 (0.018) Loss 2.0234 (2.0616) Prec@1 47.500 (46.999) Prec@5 74.375 (77.753) Epoch: [38][150/11272] Time 0.843 (0.807) Data 0.001 (0.017) Loss 2.0812 (2.0625) Prec@1 44.375 (46.933) Prec@5 78.750 (77.649) Epoch: [38][160/11272] Time 0.833 (0.806) Data 0.002 (0.016) Loss 2.0634 (2.0629) Prec@1 43.750 (46.840) Prec@5 78.750 (77.651) Epoch: [38][170/11272] Time 0.722 (0.805) Data 0.001 (0.015) Loss 2.0944 (2.0613) Prec@1 48.750 (46.952) Prec@5 76.250 (77.697) Epoch: [38][180/11272] Time 0.762 (0.805) Data 0.002 (0.014) Loss 1.9220 (2.0591) Prec@1 46.250 (46.903) Prec@5 80.625 (77.745) Epoch: [38][190/11272] Time 0.840 (0.805) Data 0.002 (0.013) Loss 1.8686 (2.0624) Prec@1 48.750 (46.859) Prec@5 81.250 (77.680) Epoch: [38][200/11272] Time 0.855 (0.805) Data 0.002 (0.013) Loss 2.1762 (2.0637) Prec@1 45.000 (46.831) Prec@5 77.500 (77.677) Epoch: [38][210/11272] Time 0.734 (0.804) Data 0.002 (0.012) Loss 1.8187 (2.0641) Prec@1 53.125 (46.881) Prec@5 83.125 (77.666) Epoch: [38][220/11272] Time 0.724 (0.804) Data 0.002 (0.012) Loss 2.3049 (2.0681) Prec@1 45.625 (46.779) Prec@5 68.750 (77.548) Epoch: [38][230/11272] Time 0.864 (0.804) Data 0.002 (0.011) Loss 2.0338 (2.0688) Prec@1 46.875 (46.769) Prec@5 79.375 (77.538) Epoch: [38][240/11272] Time 0.846 (0.803) Data 0.002 (0.011) Loss 1.9625 (2.0680) Prec@1 53.750 (46.805) Prec@5 78.750 (77.557) Epoch: [38][250/11272] Time 0.754 (0.802) Data 0.002 (0.011) Loss 1.9873 (2.0646) Prec@1 47.500 (46.905) Prec@5 76.250 (77.587) Epoch: [38][260/11272] Time 0.838 (0.803) Data 0.001 (0.010) Loss 1.9293 (2.0611) Prec@1 48.750 (47.009) Prec@5 78.750 (77.648) Epoch: [38][270/11272] Time 0.864 (0.803) Data 0.001 (0.010) Loss 2.0524 (2.0603) Prec@1 45.625 (47.027) Prec@5 74.375 (77.638) Epoch: [38][280/11272] Time 0.732 (0.802) Data 0.001 (0.010) Loss 1.9980 (2.0602) Prec@1 46.250 (47.089) Prec@5 76.250 (77.600) Epoch: [38][290/11272] Time 0.764 (0.802) Data 0.001 (0.009) Loss 1.8891 (2.0593) Prec@1 52.500 (47.133) Prec@5 80.625 (77.601) Epoch: [38][300/11272] Time 0.842 (0.802) Data 0.002 (0.009) Loss 1.7680 (2.0569) Prec@1 50.000 (47.159) Prec@5 83.125 (77.618) Epoch: [38][310/11272] Time 0.821 (0.802) Data 0.001 (0.009) Loss 2.2497 (2.0570) Prec@1 42.500 (47.164) Prec@5 75.000 (77.598) Epoch: [38][320/11272] Time 0.742 (0.801) Data 0.002 (0.009) Loss 2.1217 (2.0577) Prec@1 48.125 (47.163) Prec@5 78.125 (77.605) Epoch: [38][330/11272] Time 0.713 (0.801) Data 0.001 (0.008) Loss 2.0840 (2.0578) Prec@1 47.500 (47.170) Prec@5 74.375 (77.593) Epoch: [38][340/11272] Time 0.819 (0.801) Data 0.001 (0.008) Loss 1.7874 (2.0576) Prec@1 55.000 (47.209) Prec@5 84.375 (77.571) Epoch: [38][350/11272] Time 0.861 (0.801) Data 0.002 (0.008) Loss 2.2247 (2.0590) Prec@1 46.250 (47.185) Prec@5 76.250 (77.548) Epoch: [38][360/11272] Time 0.742 (0.801) Data 0.002 (0.008) Loss 2.2432 (2.0597) Prec@1 46.875 (47.183) Prec@5 73.750 (77.557) Epoch: [38][370/11272] Time 0.763 (0.801) Data 0.002 (0.008) Loss 1.9602 (2.0590) Prec@1 49.375 (47.220) Prec@5 81.250 (77.572) Epoch: [38][380/11272] Time 0.905 (0.801) Data 0.002 (0.008) Loss 2.1090 (2.0578) Prec@1 44.375 (47.218) Prec@5 78.125 (77.613) Epoch: [38][390/11272] Time 0.733 (0.800) Data 0.003 (0.007) Loss 1.9750 (2.0571) Prec@1 53.125 (47.273) Prec@5 80.625 (77.629) Epoch: [38][400/11272] Time 0.729 (0.800) Data 0.002 (0.007) Loss 2.2714 (2.0579) Prec@1 40.625 (47.265) Prec@5 77.500 (77.632) Epoch: [38][410/11272] Time 0.830 (0.800) Data 0.001 (0.007) Loss 2.2504 (2.0567) Prec@1 40.625 (47.252) Prec@5 73.125 (77.638) Epoch: [38][420/11272] Time 0.824 (0.800) Data 0.002 (0.007) Loss 2.1653 (2.0556) Prec@1 48.750 (47.264) Prec@5 73.750 (77.662) Epoch: [38][430/11272] Time 0.729 (0.799) Data 0.001 (0.007) Loss 2.2029 (2.0571) Prec@1 43.750 (47.245) Prec@5 75.000 (77.635) Epoch: [38][440/11272] Time 0.730 (0.799) Data 0.002 (0.007) Loss 2.4086 (2.0583) Prec@1 38.125 (47.212) Prec@5 70.625 (77.572) Epoch: [38][450/11272] Time 0.838 (0.799) Data 0.001 (0.007) Loss 2.1265 (2.0576) Prec@1 41.250 (47.195) Prec@5 76.250 (77.589) Epoch: [38][460/11272] Time 0.817 (0.800) Data 0.003 (0.007) Loss 2.1108 (2.0590) Prec@1 48.750 (47.162) Prec@5 76.875 (77.580) Epoch: [38][470/11272] Time 0.733 (0.799) Data 0.002 (0.006) Loss 1.9909 (2.0598) Prec@1 51.875 (47.126) Prec@5 78.125 (77.585) Epoch: [38][480/11272] Time 0.735 (0.799) Data 0.001 (0.006) Loss 2.0445 (2.0596) Prec@1 46.875 (47.152) Prec@5 76.875 (77.571) Epoch: [38][490/11272] Time 0.849 (0.799) Data 0.002 (0.006) Loss 1.7907 (2.0590) Prec@1 52.500 (47.135) Prec@5 83.125 (77.609) Epoch: [38][500/11272] Time 0.830 (0.799) Data 0.001 (0.006) Loss 2.0614 (2.0598) Prec@1 49.375 (47.136) Prec@5 78.750 (77.609) Epoch: [38][510/11272] Time 0.728 (0.799) Data 0.002 (0.006) Loss 1.9721 (2.0601) Prec@1 49.375 (47.125) Prec@5 76.250 (77.615) Epoch: [38][520/11272] Time 0.855 (0.799) Data 0.001 (0.006) Loss 2.1674 (2.0604) Prec@1 42.500 (47.133) Prec@5 75.625 (77.598) Epoch: [38][530/11272] Time 0.840 (0.799) Data 0.002 (0.006) Loss 1.8408 (2.0613) Prec@1 53.125 (47.107) Prec@5 81.250 (77.587) Epoch: [38][540/11272] Time 0.740 (0.799) Data 0.001 (0.006) Loss 1.9390 (2.0600) Prec@1 50.000 (47.126) Prec@5 80.625 (77.588) Epoch: [38][550/11272] Time 0.749 (0.799) Data 0.001 (0.006) Loss 2.1536 (2.0601) Prec@1 43.125 (47.119) Prec@5 73.750 (77.574) Epoch: [38][560/11272] Time 0.847 (0.799) Data 0.001 (0.006) Loss 2.1112 (2.0606) Prec@1 43.125 (47.082) Prec@5 75.625 (77.581) Epoch: [38][570/11272] Time 0.852 (0.798) Data 0.002 (0.006) Loss 1.9554 (2.0609) Prec@1 50.000 (47.073) Prec@5 81.250 (77.573) Epoch: [38][580/11272] Time 0.739 (0.798) Data 0.002 (0.006) Loss 2.0108 (2.0617) Prec@1 48.750 (47.042) Prec@5 76.875 (77.548) Epoch: [38][590/11272] Time 0.731 (0.798) Data 0.002 (0.005) Loss 2.0477 (2.0604) Prec@1 46.250 (47.060) Prec@5 76.875 (77.582) Epoch: [38][600/11272] Time 0.903 (0.799) Data 0.002 (0.005) Loss 1.6998 (2.0601) Prec@1 58.125 (47.093) Prec@5 80.625 (77.587) Epoch: [38][610/11272] Time 0.833 (0.799) Data 0.002 (0.005) Loss 2.4011 (2.0598) Prec@1 40.000 (47.104) Prec@5 66.250 (77.577) Epoch: [38][620/11272] Time 0.738 (0.798) Data 0.002 (0.005) Loss 2.0569 (2.0607) Prec@1 45.000 (47.106) Prec@5 77.500 (77.565) Epoch: [38][630/11272] Time 0.750 (0.798) Data 0.002 (0.005) Loss 2.3964 (2.0631) Prec@1 45.625 (47.074) Prec@5 74.375 (77.535) Epoch: [38][640/11272] Time 0.875 (0.799) Data 0.002 (0.005) Loss 2.1911 (2.0632) Prec@1 41.875 (47.041) Prec@5 75.625 (77.536) Epoch: [38][650/11272] Time 0.739 (0.798) Data 0.003 (0.005) Loss 1.9935 (2.0624) Prec@1 51.875 (47.068) Prec@5 76.250 (77.547) Epoch: [38][660/11272] Time 0.733 (0.798) Data 0.002 (0.005) Loss 2.1723 (2.0625) Prec@1 41.250 (47.053) Prec@5 78.125 (77.543) Epoch: [38][670/11272] Time 0.831 (0.798) Data 0.001 (0.005) Loss 2.3501 (2.0639) Prec@1 43.125 (47.017) Prec@5 71.250 (77.507) Epoch: [38][680/11272] Time 0.799 (0.798) Data 0.001 (0.005) Loss 2.0732 (2.0642) Prec@1 50.625 (47.018) Prec@5 76.250 (77.511) Epoch: [38][690/11272] Time 0.753 (0.798) Data 0.001 (0.005) Loss 2.1858 (2.0640) Prec@1 43.125 (47.032) Prec@5 75.625 (77.516) Epoch: [38][700/11272] Time 0.753 (0.798) Data 0.001 (0.005) Loss 1.9916 (2.0638) Prec@1 49.375 (47.038) Prec@5 80.625 (77.517) Epoch: [38][710/11272] Time 0.870 (0.798) Data 0.003 (0.005) Loss 1.8729 (2.0635) Prec@1 50.000 (47.031) Prec@5 80.000 (77.526) Epoch: [38][720/11272] Time 0.829 (0.798) Data 0.001 (0.005) Loss 2.0546 (2.0647) Prec@1 40.625 (46.995) Prec@5 80.625 (77.516) Epoch: [38][730/11272] Time 0.745 (0.798) Data 0.002 (0.005) Loss 2.1326 (2.0653) Prec@1 43.750 (46.955) Prec@5 76.250 (77.508) Epoch: [38][740/11272] Time 0.724 (0.798) Data 0.002 (0.005) Loss 2.0391 (2.0660) Prec@1 50.000 (46.943) Prec@5 73.750 (77.482) Epoch: [38][750/11272] Time 0.844 (0.798) Data 0.002 (0.005) Loss 1.9443 (2.0653) Prec@1 53.125 (46.977) Prec@5 83.125 (77.498) Epoch: [38][760/11272] Time 0.821 (0.797) Data 0.001 (0.005) Loss 2.1120 (2.0659) Prec@1 46.250 (46.972) Prec@5 75.625 (77.476) Epoch: [38][770/11272] Time 0.728 (0.797) Data 0.001 (0.005) Loss 1.7683 (2.0656) Prec@1 50.625 (46.987) Prec@5 82.500 (77.478) Epoch: [38][780/11272] Time 0.831 (0.797) Data 0.001 (0.005) Loss 2.1531 (2.0655) Prec@1 46.250 (46.990) Prec@5 78.750 (77.490) Epoch: [38][790/11272] Time 0.857 (0.797) Data 0.001 (0.004) Loss 2.2675 (2.0666) Prec@1 39.375 (46.969) Prec@5 78.125 (77.478) Epoch: [38][800/11272] Time 0.742 (0.797) Data 0.002 (0.004) Loss 2.2480 (2.0661) Prec@1 40.625 (46.989) Prec@5 75.000 (77.492) Epoch: [38][810/11272] Time 0.766 (0.797) Data 0.001 (0.004) Loss 2.0740 (2.0662) Prec@1 48.125 (46.977) Prec@5 75.000 (77.495) Epoch: [38][820/11272] Time 0.840 (0.797) Data 0.001 (0.004) Loss 1.8294 (2.0662) Prec@1 50.625 (46.963) Prec@5 83.750 (77.505) Epoch: [38][830/11272] Time 0.831 (0.797) Data 0.002 (0.004) Loss 1.9628 (2.0659) Prec@1 45.625 (46.971) Prec@5 79.375 (77.501) Epoch: [38][840/11272] Time 0.728 (0.797) Data 0.002 (0.004) Loss 2.0483 (2.0659) Prec@1 48.750 (46.963) Prec@5 75.000 (77.493) Epoch: [38][850/11272] Time 0.727 (0.797) Data 0.002 (0.004) Loss 2.1407 (2.0662) Prec@1 48.750 (46.965) Prec@5 77.500 (77.496) Epoch: [38][860/11272] Time 0.875 (0.797) Data 0.002 (0.004) Loss 2.1897 (2.0669) Prec@1 44.375 (46.961) Prec@5 75.000 (77.477) Epoch: [38][870/11272] Time 0.846 (0.797) Data 0.002 (0.004) Loss 2.0123 (2.0666) Prec@1 47.500 (46.950) Prec@5 77.500 (77.473) Epoch: [38][880/11272] Time 0.758 (0.797) Data 0.002 (0.004) Loss 2.0737 (2.0672) Prec@1 46.875 (46.929) Prec@5 76.250 (77.475) Epoch: [38][890/11272] Time 0.735 (0.797) Data 0.001 (0.004) Loss 1.9255 (2.0672) Prec@1 48.125 (46.931) Prec@5 81.875 (77.471) Epoch: [38][900/11272] Time 0.833 (0.797) Data 0.002 (0.004) Loss 2.0918 (2.0675) Prec@1 46.250 (46.933) Prec@5 74.375 (77.460) Epoch: [38][910/11272] Time 0.819 (0.797) Data 0.002 (0.004) Loss 1.9103 (2.0674) Prec@1 51.875 (46.924) Prec@5 80.000 (77.466) Epoch: [38][920/11272] Time 0.733 (0.796) Data 0.002 (0.004) Loss 1.8210 (2.0670) Prec@1 50.000 (46.932) Prec@5 81.250 (77.472) Epoch: [38][930/11272] Time 0.865 (0.796) Data 0.001 (0.004) Loss 2.2359 (2.0669) Prec@1 49.375 (46.937) Prec@5 78.125 (77.477) Epoch: [38][940/11272] Time 0.864 (0.796) Data 0.002 (0.004) Loss 2.0936 (2.0670) Prec@1 45.000 (46.939) Prec@5 74.375 (77.478) Epoch: [38][950/11272] Time 0.745 (0.796) Data 0.002 (0.004) Loss 1.8166 (2.0664) Prec@1 55.625 (46.964) Prec@5 82.500 (77.494) Epoch: [38][960/11272] Time 0.778 (0.796) Data 0.002 (0.004) Loss 1.6501 (2.0664) Prec@1 53.125 (46.963) Prec@5 85.000 (77.497) Epoch: [38][970/11272] Time 0.843 (0.797) Data 0.001 (0.004) Loss 2.0826 (2.0660) Prec@1 49.375 (46.975) Prec@5 78.125 (77.507) Epoch: [38][980/11272] Time 0.844 (0.796) Data 0.001 (0.004) Loss 2.0941 (2.0661) Prec@1 42.500 (46.970) Prec@5 76.250 (77.504) Epoch: [38][990/11272] Time 0.726 (0.796) Data 0.002 (0.004) Loss 2.2664 (2.0658) Prec@1 39.375 (46.980) Prec@5 76.875 (77.506) Epoch: [38][1000/11272] Time 0.768 (0.796) Data 0.001 (0.004) Loss 2.1815 (2.0658) Prec@1 49.375 (46.999) Prec@5 74.375 (77.506) Epoch: [38][1010/11272] Time 0.865 (0.796) Data 0.001 (0.004) Loss 2.0024 (2.0659) Prec@1 46.250 (46.996) Prec@5 79.375 (77.506) Epoch: [38][1020/11272] Time 0.832 (0.796) Data 0.001 (0.004) Loss 1.9769 (2.0658) Prec@1 47.500 (46.998) Prec@5 81.250 (77.513) Epoch: [38][1030/11272] Time 0.737 (0.796) Data 0.001 (0.004) Loss 2.0134 (2.0650) Prec@1 50.000 (47.024) Prec@5 78.750 (77.522) Epoch: [38][1040/11272] Time 0.733 (0.796) Data 0.002 (0.004) Loss 2.0513 (2.0649) Prec@1 47.500 (47.020) Prec@5 78.125 (77.518) Epoch: [38][1050/11272] Time 0.860 (0.796) Data 0.002 (0.004) Loss 2.0697 (2.0649) Prec@1 50.625 (47.026) Prec@5 73.750 (77.502) Epoch: [38][1060/11272] Time 0.734 (0.796) Data 0.001 (0.004) Loss 1.9994 (2.0649) Prec@1 53.125 (47.016) Prec@5 79.375 (77.497) Epoch: [38][1070/11272] Time 0.762 (0.796) Data 0.002 (0.004) Loss 2.1794 (2.0647) Prec@1 44.375 (47.033) Prec@5 73.125 (77.484) Epoch: [38][1080/11272] Time 0.875 (0.796) Data 0.002 (0.004) Loss 2.2198 (2.0646) Prec@1 44.375 (47.034) Prec@5 76.875 (77.477) Epoch: [38][1090/11272] Time 0.815 (0.796) Data 0.001 (0.004) Loss 1.9823 (2.0643) Prec@1 50.625 (47.046) Prec@5 75.625 (77.489) Epoch: [38][1100/11272] Time 0.748 (0.796) Data 0.002 (0.004) Loss 2.2899 (2.0644) Prec@1 40.000 (47.038) Prec@5 72.500 (77.484) Epoch: [38][1110/11272] Time 0.763 (0.796) Data 0.002 (0.004) Loss 1.8982 (2.0635) Prec@1 51.875 (47.052) Prec@5 78.750 (77.486) Epoch: [38][1120/11272] Time 0.847 (0.796) Data 0.001 (0.004) Loss 2.1410 (2.0645) Prec@1 45.625 (47.050) Prec@5 75.625 (77.472) Epoch: [38][1130/11272] Time 0.815 (0.796) Data 0.002 (0.004) Loss 2.4253 (2.0645) Prec@1 37.500 (47.046) Prec@5 71.250 (77.461) Epoch: [38][1140/11272] Time 0.736 (0.796) Data 0.001 (0.004) Loss 2.2987 (2.0652) Prec@1 46.250 (47.037) Prec@5 68.750 (77.441) Epoch: [38][1150/11272] Time 0.735 (0.796) Data 0.001 (0.004) Loss 1.7542 (2.0646) Prec@1 53.125 (47.049) Prec@5 84.375 (77.460) Epoch: [38][1160/11272] Time 0.871 (0.796) Data 0.002 (0.004) Loss 2.1854 (2.0641) Prec@1 42.500 (47.050) Prec@5 75.000 (77.468) Epoch: [38][1170/11272] Time 0.859 (0.796) Data 0.002 (0.004) Loss 2.1309 (2.0648) Prec@1 40.000 (47.035) Prec@5 76.875 (77.458) Epoch: [38][1180/11272] Time 0.712 (0.796) Data 0.001 (0.004) Loss 2.1799 (2.0652) Prec@1 45.625 (47.023) Prec@5 78.750 (77.448) Epoch: [38][1190/11272] Time 0.845 (0.796) Data 0.001 (0.004) Loss 2.1375 (2.0650) Prec@1 46.250 (47.013) Prec@5 73.125 (77.450) Epoch: [38][1200/11272] Time 0.841 (0.796) Data 0.001 (0.003) Loss 2.2541 (2.0655) Prec@1 48.750 (47.031) Prec@5 75.625 (77.445) Epoch: [38][1210/11272] Time 0.776 (0.796) Data 0.002 (0.003) Loss 1.9583 (2.0654) Prec@1 48.750 (47.031) Prec@5 82.500 (77.450) Epoch: [38][1220/11272] Time 0.747 (0.796) Data 0.002 (0.003) Loss 2.1118 (2.0657) Prec@1 45.625 (47.028) Prec@5 79.375 (77.450) Epoch: [38][1230/11272] Time 0.842 (0.796) Data 0.002 (0.003) Loss 1.9955 (2.0655) Prec@1 51.250 (47.038) Prec@5 78.125 (77.454) Epoch: [38][1240/11272] Time 0.825 (0.795) Data 0.002 (0.003) Loss 2.2247 (2.0654) Prec@1 46.250 (47.030) Prec@5 73.125 (77.450) Epoch: [38][1250/11272] Time 0.747 (0.796) Data 0.004 (0.003) Loss 1.9060 (2.0658) Prec@1 50.000 (47.018) Prec@5 81.875 (77.434) Epoch: [38][1260/11272] Time 0.745 (0.796) Data 0.001 (0.003) Loss 1.7959 (2.0651) Prec@1 53.750 (47.029) Prec@5 84.375 (77.450) Epoch: [38][1270/11272] Time 0.864 (0.796) Data 0.002 (0.003) Loss 2.5198 (2.0659) Prec@1 39.375 (47.008) Prec@5 70.000 (77.444) Epoch: [38][1280/11272] Time 0.881 (0.796) Data 0.002 (0.003) Loss 1.9334 (2.0653) Prec@1 50.625 (47.019) Prec@5 80.625 (77.457) Epoch: [38][1290/11272] Time 0.737 (0.796) Data 0.001 (0.003) Loss 1.9986 (2.0644) Prec@1 45.000 (47.034) Prec@5 81.875 (77.485) Epoch: [38][1300/11272] Time 0.752 (0.796) Data 0.002 (0.003) Loss 2.1002 (2.0646) Prec@1 43.750 (47.018) Prec@5 75.625 (77.483) Epoch: [38][1310/11272] Time 0.873 (0.796) Data 0.002 (0.003) Loss 2.1428 (2.0646) Prec@1 45.000 (47.031) Prec@5 76.875 (77.489) Epoch: [38][1320/11272] Time 0.746 (0.796) Data 0.003 (0.003) Loss 2.0385 (2.0651) Prec@1 46.875 (47.014) Prec@5 77.500 (77.484) Epoch: [38][1330/11272] Time 0.755 (0.796) Data 0.002 (0.003) Loss 1.9856 (2.0652) Prec@1 45.625 (47.007) Prec@5 78.125 (77.483) Epoch: [38][1340/11272] Time 0.818 (0.796) Data 0.001 (0.003) Loss 2.2815 (2.0651) Prec@1 50.625 (47.005) Prec@5 73.125 (77.487) Epoch: [38][1350/11272] Time 0.827 (0.796) Data 0.002 (0.003) Loss 2.1887 (2.0651) Prec@1 42.500 (47.008) Prec@5 74.375 (77.481) Epoch: [38][1360/11272] Time 0.733 (0.796) Data 0.001 (0.003) Loss 1.8194 (2.0649) Prec@1 50.625 (47.017) Prec@5 83.125 (77.489) Epoch: [38][1370/11272] Time 0.725 (0.796) Data 0.002 (0.003) Loss 1.8771 (2.0644) Prec@1 53.125 (47.030) Prec@5 79.375 (77.496) Epoch: [38][1380/11272] Time 0.848 (0.796) Data 0.001 (0.003) Loss 1.9192 (2.0643) Prec@1 48.750 (47.037) Prec@5 80.000 (77.496) Epoch: [38][1390/11272] Time 0.855 (0.796) Data 0.001 (0.003) Loss 1.9852 (2.0645) Prec@1 46.875 (47.036) Prec@5 81.875 (77.496) Epoch: [38][1400/11272] Time 0.752 (0.796) Data 0.002 (0.003) Loss 1.9008 (2.0647) Prec@1 49.375 (47.027) Prec@5 83.125 (77.498) Epoch: [38][1410/11272] Time 0.723 (0.796) Data 0.002 (0.003) Loss 2.1433 (2.0652) Prec@1 46.250 (47.018) Prec@5 75.625 (77.491) Epoch: [38][1420/11272] Time 0.822 (0.796) Data 0.002 (0.003) Loss 2.2352 (2.0653) Prec@1 44.375 (47.014) Prec@5 74.375 (77.494) Epoch: [38][1430/11272] Time 0.834 (0.796) Data 0.001 (0.003) Loss 2.2216 (2.0657) Prec@1 40.625 (46.999) Prec@5 75.625 (77.487) Epoch: [38][1440/11272] Time 0.745 (0.796) Data 0.002 (0.003) Loss 1.9118 (2.0650) Prec@1 50.625 (47.002) Prec@5 81.250 (77.503) Epoch: [38][1450/11272] Time 0.821 (0.796) Data 0.001 (0.003) Loss 1.9745 (2.0643) Prec@1 47.500 (47.012) Prec@5 76.875 (77.513) Epoch: [38][1460/11272] Time 0.828 (0.796) Data 0.002 (0.003) Loss 2.0655 (2.0646) Prec@1 48.750 (46.999) Prec@5 74.375 (77.503) Epoch: [38][1470/11272] Time 0.726 (0.796) Data 0.001 (0.003) Loss 2.0050 (2.0640) Prec@1 48.125 (47.008) Prec@5 76.875 (77.505) Epoch: [38][1480/11272] Time 0.730 (0.796) Data 0.001 (0.003) Loss 2.0633 (2.0638) Prec@1 46.250 (47.005) Prec@5 78.125 (77.510) Epoch: [38][1490/11272] Time 0.855 (0.796) Data 0.001 (0.003) Loss 2.1343 (2.0637) Prec@1 41.250 (47.008) Prec@5 78.125 (77.514) Epoch: [38][1500/11272] Time 0.834 (0.795) Data 0.002 (0.003) Loss 2.0719 (2.0639) Prec@1 44.375 (46.997) Prec@5 78.125 (77.516) Epoch: [38][1510/11272] Time 0.720 (0.795) Data 0.002 (0.003) Loss 2.0855 (2.0638) Prec@1 49.375 (47.004) Prec@5 78.125 (77.513) Epoch: [38][1520/11272] Time 0.789 (0.795) Data 0.002 (0.003) Loss 1.9475 (2.0639) Prec@1 51.875 (47.009) Prec@5 80.000 (77.509) Epoch: [38][1530/11272] Time 0.843 (0.795) Data 0.001 (0.003) Loss 2.0914 (2.0641) Prec@1 45.625 (47.009) Prec@5 75.625 (77.501) Epoch: [38][1540/11272] Time 0.861 (0.795) Data 0.001 (0.003) Loss 2.0994 (2.0645) Prec@1 47.500 (46.997) Prec@5 74.375 (77.494) Epoch: [38][1550/11272] Time 0.761 (0.796) Data 0.002 (0.003) Loss 2.4244 (2.0650) Prec@1 41.250 (46.987) Prec@5 68.125 (77.489) Epoch: [38][1560/11272] Time 0.725 (0.796) Data 0.002 (0.003) Loss 2.3380 (2.0653) Prec@1 41.875 (46.977) Prec@5 73.750 (77.481) Epoch: [38][1570/11272] Time 0.833 (0.796) Data 0.002 (0.003) Loss 2.2979 (2.0651) Prec@1 45.000 (46.978) Prec@5 70.625 (77.482) Epoch: [38][1580/11272] Time 0.737 (0.796) Data 0.003 (0.003) Loss 2.3299 (2.0656) Prec@1 41.250 (46.964) Prec@5 75.625 (77.474) Epoch: [38][1590/11272] Time 0.740 (0.796) Data 0.001 (0.003) Loss 2.2432 (2.0660) Prec@1 42.500 (46.950) Prec@5 75.000 (77.468) Epoch: [38][1600/11272] Time 0.877 (0.796) Data 0.002 (0.003) Loss 2.1063 (2.0656) Prec@1 49.375 (46.965) Prec@5 74.375 (77.477) Epoch: [38][1610/11272] Time 0.863 (0.796) Data 0.002 (0.003) Loss 2.2140 (2.0661) Prec@1 48.750 (46.958) Prec@5 75.625 (77.461) Epoch: [38][1620/11272] Time 0.730 (0.796) Data 0.002 (0.003) Loss 1.8892 (2.0661) Prec@1 53.750 (46.957) Prec@5 80.625 (77.460) Epoch: [38][1630/11272] Time 0.735 (0.796) Data 0.002 (0.003) Loss 2.1324 (2.0664) Prec@1 45.000 (46.951) Prec@5 72.500 (77.451) Epoch: [38][1640/11272] Time 0.832 (0.796) Data 0.002 (0.003) Loss 1.8188 (2.0665) Prec@1 48.125 (46.945) Prec@5 78.750 (77.452) Epoch: [38][1650/11272] Time 0.857 (0.796) Data 0.001 (0.003) Loss 2.1735 (2.0670) Prec@1 42.500 (46.936) Prec@5 75.000 (77.448) Epoch: [38][1660/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 1.9867 (2.0669) Prec@1 48.125 (46.942) Prec@5 78.125 (77.446) Epoch: [38][1670/11272] Time 0.724 (0.795) Data 0.001 (0.003) Loss 2.0945 (2.0669) Prec@1 46.250 (46.940) Prec@5 78.750 (77.447) Epoch: [38][1680/11272] Time 0.831 (0.795) Data 0.001 (0.003) Loss 2.1076 (2.0672) Prec@1 45.000 (46.931) Prec@5 75.625 (77.441) Epoch: [38][1690/11272] Time 0.843 (0.795) Data 0.002 (0.003) Loss 2.1889 (2.0668) Prec@1 45.000 (46.944) Prec@5 72.500 (77.445) Epoch: [38][1700/11272] Time 0.748 (0.795) Data 0.002 (0.003) Loss 2.1101 (2.0673) Prec@1 44.375 (46.939) Prec@5 76.875 (77.440) Epoch: [38][1710/11272] Time 0.842 (0.795) Data 0.001 (0.003) Loss 1.8118 (2.0672) Prec@1 55.000 (46.945) Prec@5 76.875 (77.433) Epoch: [38][1720/11272] Time 0.836 (0.795) Data 0.001 (0.003) Loss 2.1644 (2.0676) Prec@1 46.875 (46.935) Prec@5 75.000 (77.424) Epoch: [38][1730/11272] Time 0.742 (0.795) Data 0.001 (0.003) Loss 2.1542 (2.0673) Prec@1 46.875 (46.942) Prec@5 71.875 (77.424) Epoch: [38][1740/11272] Time 0.740 (0.795) Data 0.002 (0.003) Loss 2.2872 (2.0677) Prec@1 43.750 (46.936) Prec@5 77.500 (77.415) Epoch: [38][1750/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 2.1580 (2.0679) Prec@1 43.750 (46.936) Prec@5 73.125 (77.408) Epoch: [38][1760/11272] Time 0.824 (0.795) Data 0.001 (0.003) Loss 2.1691 (2.0680) Prec@1 38.750 (46.931) Prec@5 75.625 (77.405) Epoch: [38][1770/11272] Time 0.726 (0.795) Data 0.001 (0.003) Loss 1.9225 (2.0682) Prec@1 51.250 (46.926) Prec@5 79.375 (77.407) Epoch: [38][1780/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 2.1922 (2.0687) Prec@1 45.000 (46.914) Prec@5 74.375 (77.392) Epoch: [38][1790/11272] Time 0.888 (0.795) Data 0.002 (0.003) Loss 2.0019 (2.0687) Prec@1 46.250 (46.921) Prec@5 76.250 (77.391) Epoch: [38][1800/11272] Time 0.824 (0.795) Data 0.002 (0.003) Loss 2.0237 (2.0685) Prec@1 52.500 (46.933) Prec@5 78.125 (77.393) Epoch: [38][1810/11272] Time 0.716 (0.795) Data 0.001 (0.003) Loss 1.9939 (2.0687) Prec@1 46.250 (46.933) Prec@5 79.375 (77.385) Epoch: [38][1820/11272] Time 0.713 (0.795) Data 0.001 (0.003) Loss 1.9987 (2.0684) Prec@1 45.000 (46.941) Prec@5 80.000 (77.390) Epoch: [38][1830/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 1.7417 (2.0679) Prec@1 56.250 (46.958) Prec@5 81.250 (77.398) Epoch: [38][1840/11272] Time 0.844 (0.795) Data 0.001 (0.003) Loss 2.0640 (2.0679) Prec@1 47.500 (46.964) Prec@5 81.875 (77.398) Epoch: [38][1850/11272] Time 0.750 (0.795) Data 0.001 (0.003) Loss 2.1080 (2.0682) Prec@1 41.250 (46.948) Prec@5 76.875 (77.393) Epoch: [38][1860/11272] Time 0.868 (0.795) Data 0.001 (0.003) Loss 2.0043 (2.0683) Prec@1 43.750 (46.946) Prec@5 78.750 (77.396) Epoch: [38][1870/11272] Time 0.882 (0.795) Data 0.002 (0.003) Loss 2.1234 (2.0685) Prec@1 45.625 (46.938) Prec@5 73.750 (77.393) Epoch: [38][1880/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 2.2144 (2.0687) Prec@1 45.000 (46.935) Prec@5 74.375 (77.387) Epoch: [38][1890/11272] Time 0.745 (0.795) Data 0.001 (0.003) Loss 2.1459 (2.0688) Prec@1 46.875 (46.936) Prec@5 79.375 (77.388) Epoch: [38][1900/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 2.3694 (2.0689) Prec@1 42.500 (46.936) Prec@5 71.250 (77.385) Epoch: [38][1910/11272] Time 0.805 (0.795) Data 0.001 (0.003) Loss 1.8364 (2.0687) Prec@1 51.875 (46.944) Prec@5 79.375 (77.391) Epoch: [38][1920/11272] Time 0.734 (0.795) Data 0.002 (0.003) Loss 1.9980 (2.0688) Prec@1 45.625 (46.941) Prec@5 78.750 (77.391) Epoch: [38][1930/11272] Time 0.732 (0.795) Data 0.001 (0.003) Loss 2.2599 (2.0692) Prec@1 45.000 (46.934) Prec@5 73.750 (77.388) Epoch: [38][1940/11272] Time 0.877 (0.795) Data 0.002 (0.003) Loss 2.3428 (2.0692) Prec@1 38.125 (46.936) Prec@5 70.000 (77.386) Epoch: [38][1950/11272] Time 0.838 (0.795) Data 0.002 (0.003) Loss 2.1967 (2.0691) Prec@1 43.125 (46.942) Prec@5 75.000 (77.391) Epoch: [38][1960/11272] Time 0.715 (0.795) Data 0.001 (0.003) Loss 2.1613 (2.0693) Prec@1 46.250 (46.940) Prec@5 75.000 (77.386) Epoch: [38][1970/11272] Time 0.758 (0.795) Data 0.002 (0.003) Loss 2.1142 (2.0693) Prec@1 45.625 (46.940) Prec@5 78.750 (77.387) Epoch: [38][1980/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 2.0593 (2.0692) Prec@1 47.500 (46.940) Prec@5 76.875 (77.391) Epoch: [38][1990/11272] Time 0.761 (0.795) Data 0.001 (0.003) Loss 2.0347 (2.0692) Prec@1 51.250 (46.945) Prec@5 80.000 (77.388) Epoch: [38][2000/11272] Time 0.725 (0.795) Data 0.002 (0.003) Loss 2.3320 (2.0694) Prec@1 41.250 (46.940) Prec@5 76.875 (77.385) Epoch: [38][2010/11272] Time 0.833 (0.795) Data 0.001 (0.003) Loss 2.0614 (2.0694) Prec@1 46.875 (46.939) Prec@5 73.750 (77.385) Epoch: [38][2020/11272] Time 0.847 (0.795) Data 0.001 (0.003) Loss 1.9984 (2.0692) Prec@1 47.500 (46.949) Prec@5 78.750 (77.388) Epoch: [38][2030/11272] Time 0.734 (0.795) Data 0.002 (0.003) Loss 2.1921 (2.0694) Prec@1 38.125 (46.945) Prec@5 80.000 (77.382) Epoch: [38][2040/11272] Time 0.711 (0.795) Data 0.001 (0.003) Loss 2.0771 (2.0694) Prec@1 44.375 (46.941) Prec@5 76.250 (77.378) Epoch: [38][2050/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 1.9832 (2.0698) Prec@1 48.750 (46.929) Prec@5 76.875 (77.365) Epoch: [38][2060/11272] Time 0.832 (0.795) Data 0.002 (0.003) Loss 2.3299 (2.0698) Prec@1 43.125 (46.923) Prec@5 73.750 (77.365) Epoch: [38][2070/11272] Time 0.737 (0.795) Data 0.002 (0.003) Loss 1.9949 (2.0699) Prec@1 48.750 (46.915) Prec@5 78.125 (77.364) Epoch: [38][2080/11272] Time 0.734 (0.795) Data 0.002 (0.003) Loss 1.9709 (2.0700) Prec@1 52.500 (46.918) Prec@5 76.875 (77.365) Epoch: [38][2090/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 1.8549 (2.0696) Prec@1 53.125 (46.922) Prec@5 79.375 (77.372) Epoch: [38][2100/11272] Time 0.823 (0.795) Data 0.001 (0.003) Loss 2.2910 (2.0697) Prec@1 46.250 (46.925) Prec@5 75.625 (77.369) Epoch: [38][2110/11272] Time 0.744 (0.795) Data 0.001 (0.003) Loss 2.0184 (2.0696) Prec@1 43.125 (46.929) Prec@5 78.125 (77.371) Epoch: [38][2120/11272] Time 0.851 (0.795) Data 0.002 (0.003) Loss 2.0030 (2.0699) Prec@1 45.625 (46.916) Prec@5 77.500 (77.364) Epoch: [38][2130/11272] Time 0.889 (0.795) Data 0.002 (0.003) Loss 2.0731 (2.0697) Prec@1 46.250 (46.919) Prec@5 79.375 (77.369) Epoch: [38][2140/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 2.0554 (2.0696) Prec@1 46.250 (46.917) Prec@5 76.875 (77.368) Epoch: [38][2150/11272] Time 0.778 (0.795) Data 0.002 (0.003) Loss 2.1061 (2.0699) Prec@1 40.000 (46.905) Prec@5 78.750 (77.369) Epoch: [38][2160/11272] Time 0.835 (0.795) Data 0.001 (0.003) Loss 2.2184 (2.0698) Prec@1 46.875 (46.912) Prec@5 75.625 (77.370) Epoch: [38][2170/11272] Time 0.837 (0.795) Data 0.002 (0.003) Loss 2.0865 (2.0698) Prec@1 46.250 (46.911) Prec@5 75.625 (77.368) Epoch: [38][2180/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 1.8901 (2.0698) Prec@1 53.125 (46.912) Prec@5 79.375 (77.365) Epoch: [38][2190/11272] Time 0.730 (0.795) Data 0.002 (0.003) Loss 2.1122 (2.0700) Prec@1 45.000 (46.911) Prec@5 76.250 (77.361) Epoch: [38][2200/11272] Time 0.837 (0.795) Data 0.001 (0.003) Loss 2.0910 (2.0700) Prec@1 43.125 (46.910) Prec@5 73.750 (77.362) Epoch: [38][2210/11272] Time 0.835 (0.795) Data 0.001 (0.003) Loss 1.8350 (2.0691) Prec@1 50.625 (46.926) Prec@5 79.375 (77.375) Epoch: [38][2220/11272] Time 0.736 (0.795) Data 0.002 (0.003) Loss 1.8202 (2.0687) Prec@1 52.500 (46.937) Prec@5 84.375 (77.385) Epoch: [38][2230/11272] Time 0.721 (0.795) Data 0.002 (0.003) Loss 1.7985 (2.0687) Prec@1 51.875 (46.937) Prec@5 79.375 (77.382) Epoch: [38][2240/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 1.8749 (2.0691) Prec@1 51.875 (46.927) Prec@5 80.625 (77.376) Epoch: [38][2250/11272] Time 0.732 (0.795) Data 0.003 (0.003) Loss 1.8137 (2.0691) Prec@1 53.125 (46.932) Prec@5 80.625 (77.376) Epoch: [38][2260/11272] Time 0.727 (0.795) Data 0.002 (0.003) Loss 1.9968 (2.0691) Prec@1 45.625 (46.930) Prec@5 80.000 (77.381) Epoch: [38][2270/11272] Time 0.840 (0.795) Data 0.002 (0.003) Loss 1.8718 (2.0692) Prec@1 50.000 (46.923) Prec@5 80.625 (77.379) Epoch: [38][2280/11272] Time 0.886 (0.795) Data 0.002 (0.003) Loss 2.0462 (2.0692) Prec@1 47.500 (46.926) Prec@5 79.375 (77.380) Epoch: [38][2290/11272] Time 0.769 (0.795) Data 0.002 (0.003) Loss 2.2524 (2.0692) Prec@1 45.000 (46.931) Prec@5 71.250 (77.377) Epoch: [38][2300/11272] Time 0.745 (0.795) Data 0.002 (0.003) Loss 1.9705 (2.0691) Prec@1 51.875 (46.931) Prec@5 78.750 (77.381) Epoch: [38][2310/11272] Time 0.823 (0.795) Data 0.001 (0.003) Loss 2.1545 (2.0689) Prec@1 43.125 (46.934) Prec@5 76.875 (77.387) Epoch: [38][2320/11272] Time 0.857 (0.795) Data 0.001 (0.003) Loss 1.9743 (2.0686) Prec@1 45.625 (46.947) Prec@5 80.625 (77.395) Epoch: [38][2330/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 2.2283 (2.0686) Prec@1 45.000 (46.948) Prec@5 76.250 (77.396) Epoch: [38][2340/11272] Time 0.752 (0.795) Data 0.002 (0.003) Loss 1.9847 (2.0685) Prec@1 48.125 (46.947) Prec@5 80.625 (77.403) Epoch: [38][2350/11272] Time 0.837 (0.795) Data 0.002 (0.003) Loss 1.9633 (2.0688) Prec@1 51.875 (46.939) Prec@5 73.750 (77.399) Epoch: [38][2360/11272] Time 0.841 (0.795) Data 0.002 (0.003) Loss 2.1692 (2.0690) Prec@1 43.125 (46.931) Prec@5 75.625 (77.399) Epoch: [38][2370/11272] Time 0.755 (0.795) Data 0.001 (0.003) Loss 2.2007 (2.0692) Prec@1 44.375 (46.928) Prec@5 72.500 (77.392) Epoch: [38][2380/11272] Time 0.832 (0.795) Data 0.001 (0.003) Loss 2.1842 (2.0691) Prec@1 51.250 (46.941) Prec@5 77.500 (77.394) Epoch: [38][2390/11272] Time 0.864 (0.795) Data 0.002 (0.003) Loss 2.2279 (2.0694) Prec@1 45.000 (46.937) Prec@5 75.000 (77.387) Epoch: [38][2400/11272] Time 0.727 (0.795) Data 0.001 (0.003) Loss 2.0601 (2.0696) Prec@1 49.375 (46.935) Prec@5 78.125 (77.384) Epoch: [38][2410/11272] Time 0.739 (0.795) Data 0.001 (0.003) Loss 2.0169 (2.0695) Prec@1 49.375 (46.941) Prec@5 75.625 (77.387) Epoch: [38][2420/11272] Time 0.884 (0.795) Data 0.002 (0.003) Loss 2.1174 (2.0694) Prec@1 46.250 (46.939) Prec@5 76.875 (77.386) Epoch: [38][2430/11272] Time 0.821 (0.795) Data 0.001 (0.003) Loss 2.0917 (2.0693) Prec@1 46.250 (46.941) Prec@5 77.500 (77.387) Epoch: [38][2440/11272] Time 0.727 (0.795) Data 0.001 (0.003) Loss 2.1577 (2.0692) Prec@1 41.250 (46.937) Prec@5 78.750 (77.389) Epoch: [38][2450/11272] Time 0.747 (0.795) Data 0.001 (0.003) Loss 1.7291 (2.0691) Prec@1 57.500 (46.941) Prec@5 85.625 (77.390) Epoch: [38][2460/11272] Time 0.841 (0.795) Data 0.002 (0.003) Loss 2.1511 (2.0692) Prec@1 43.750 (46.937) Prec@5 71.875 (77.390) Epoch: [38][2470/11272] Time 0.839 (0.795) Data 0.002 (0.003) Loss 2.1738 (2.0692) Prec@1 45.000 (46.930) Prec@5 76.875 (77.390) Epoch: [38][2480/11272] Time 0.724 (0.795) Data 0.002 (0.003) Loss 2.1445 (2.0694) Prec@1 46.250 (46.925) Prec@5 79.375 (77.387) Epoch: [38][2490/11272] Time 0.734 (0.795) Data 0.001 (0.003) Loss 2.1618 (2.0696) Prec@1 40.625 (46.922) Prec@5 76.875 (77.383) Epoch: [38][2500/11272] Time 0.846 (0.795) Data 0.002 (0.003) Loss 2.1196 (2.0696) Prec@1 41.875 (46.919) Prec@5 78.125 (77.384) Epoch: [38][2510/11272] Time 0.740 (0.794) Data 0.003 (0.003) Loss 1.9889 (2.0698) Prec@1 46.875 (46.920) Prec@5 78.750 (77.381) Epoch: [38][2520/11272] Time 0.735 (0.794) Data 0.002 (0.003) Loss 2.0101 (2.0696) Prec@1 48.125 (46.927) Prec@5 78.750 (77.386) Epoch: [38][2530/11272] Time 0.833 (0.794) Data 0.001 (0.003) Loss 1.8958 (2.0696) Prec@1 48.125 (46.928) Prec@5 79.375 (77.386) Epoch: [38][2540/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.0048 (2.0698) Prec@1 48.750 (46.926) Prec@5 80.625 (77.384) Epoch: [38][2550/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.9648 (2.0699) Prec@1 50.000 (46.925) Prec@5 81.250 (77.383) Epoch: [38][2560/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 2.0860 (2.0705) Prec@1 48.750 (46.911) Prec@5 75.625 (77.377) Epoch: [38][2570/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 1.8672 (2.0705) Prec@1 52.500 (46.913) Prec@5 78.750 (77.381) Epoch: [38][2580/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0997 (2.0703) Prec@1 43.750 (46.913) Prec@5 73.125 (77.385) Epoch: [38][2590/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.1008 (2.0706) Prec@1 49.375 (46.902) Prec@5 75.625 (77.382) Epoch: [38][2600/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.4206 (2.0707) Prec@1 39.375 (46.900) Prec@5 68.125 (77.376) Epoch: [38][2610/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.4982 (2.0708) Prec@1 39.375 (46.897) Prec@5 69.375 (77.375) Epoch: [38][2620/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.9382 (2.0708) Prec@1 47.500 (46.898) Prec@5 76.875 (77.373) Epoch: [38][2630/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.9986 (2.0709) Prec@1 50.000 (46.901) Prec@5 75.625 (77.368) Epoch: [38][2640/11272] Time 0.875 (0.794) Data 0.001 (0.002) Loss 2.2135 (2.0708) Prec@1 45.000 (46.899) Prec@5 71.250 (77.368) Epoch: [38][2650/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0689 (2.0707) Prec@1 46.250 (46.906) Prec@5 76.875 (77.366) Epoch: [38][2660/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.0834 (2.0710) Prec@1 44.375 (46.897) Prec@5 74.375 (77.364) Epoch: [38][2670/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.0528 (2.0713) Prec@1 48.750 (46.893) Prec@5 79.375 (77.362) Epoch: [38][2680/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 1.9935 (2.0711) Prec@1 50.000 (46.898) Prec@5 77.500 (77.364) Epoch: [38][2690/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 2.0628 (2.0712) Prec@1 50.625 (46.899) Prec@5 80.000 (77.362) Epoch: [38][2700/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.3778 (2.0713) Prec@1 40.625 (46.898) Prec@5 68.750 (77.362) Epoch: [38][2710/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.2415 (2.0713) Prec@1 44.375 (46.897) Prec@5 76.875 (77.362) Epoch: [38][2720/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.0517 (2.0712) Prec@1 45.000 (46.898) Prec@5 79.375 (77.362) Epoch: [38][2730/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9517 (2.0711) Prec@1 57.500 (46.904) Prec@5 78.750 (77.361) Epoch: [38][2740/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.9575 (2.0712) Prec@1 50.000 (46.899) Prec@5 78.750 (77.361) Epoch: [38][2750/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.1670 (2.0710) Prec@1 41.875 (46.899) Prec@5 76.250 (77.363) Epoch: [38][2760/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1483 (2.0713) Prec@1 46.875 (46.894) Prec@5 76.250 (77.360) Epoch: [38][2770/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.9760 (2.0712) Prec@1 49.375 (46.892) Prec@5 79.375 (77.361) Epoch: [38][2780/11272] Time 0.715 (0.794) Data 0.002 (0.002) Loss 2.0999 (2.0710) Prec@1 44.375 (46.893) Prec@5 75.000 (77.364) Epoch: [38][2790/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 1.7696 (2.0710) Prec@1 52.500 (46.891) Prec@5 84.375 (77.367) Epoch: [38][2800/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.2827 (2.0712) Prec@1 43.750 (46.892) Prec@5 70.625 (77.362) Epoch: [38][2810/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 1.8995 (2.0712) Prec@1 50.625 (46.895) Prec@5 82.500 (77.362) Epoch: [38][2820/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0866 (2.0709) Prec@1 51.250 (46.904) Prec@5 75.625 (77.363) Epoch: [38][2830/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.9264 (2.0711) Prec@1 46.875 (46.901) Prec@5 80.625 (77.356) Epoch: [38][2840/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.8793 (2.0711) Prec@1 46.875 (46.901) Prec@5 86.875 (77.361) Epoch: [38][2850/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.0308 (2.0709) Prec@1 49.375 (46.909) Prec@5 76.875 (77.365) Epoch: [38][2860/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.1708 (2.0712) Prec@1 41.875 (46.899) Prec@5 76.250 (77.361) Epoch: [38][2870/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.2191 (2.0714) Prec@1 43.125 (46.895) Prec@5 72.500 (77.359) Epoch: [38][2880/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.9742 (2.0713) Prec@1 46.250 (46.896) Prec@5 75.625 (77.361) Epoch: [38][2890/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1645 (2.0714) Prec@1 45.000 (46.893) Prec@5 74.375 (77.360) Epoch: [38][2900/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.1126 (2.0712) Prec@1 45.000 (46.897) Prec@5 74.375 (77.366) Epoch: [38][2910/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 1.9620 (2.0710) Prec@1 45.625 (46.906) Prec@5 81.875 (77.369) Epoch: [38][2920/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9123 (2.0711) Prec@1 51.250 (46.906) Prec@5 78.125 (77.367) Epoch: [38][2930/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0165 (2.0714) Prec@1 55.000 (46.905) Prec@5 78.750 (77.362) Epoch: [38][2940/11272] Time 0.919 (0.794) Data 0.001 (0.002) Loss 2.0462 (2.0712) Prec@1 46.875 (46.911) Prec@5 75.000 (77.362) Epoch: [38][2950/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.2622 (2.0713) Prec@1 42.500 (46.908) Prec@5 73.125 (77.361) Epoch: [38][2960/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 2.0542 (2.0711) Prec@1 45.000 (46.905) Prec@5 76.875 (77.363) Epoch: [38][2970/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0496 (2.0711) Prec@1 53.750 (46.911) Prec@5 76.250 (77.363) Epoch: [38][2980/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.2292 (2.0711) Prec@1 43.750 (46.912) Prec@5 71.875 (77.364) Epoch: [38][2990/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 1.9805 (2.0709) Prec@1 52.500 (46.920) Prec@5 80.000 (77.367) Epoch: [38][3000/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0170 (2.0711) Prec@1 47.500 (46.914) Prec@5 77.500 (77.365) Epoch: [38][3010/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.7905 (2.0711) Prec@1 50.000 (46.913) Prec@5 84.375 (77.366) Epoch: [38][3020/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.2493 (2.0713) Prec@1 40.000 (46.906) Prec@5 75.000 (77.363) Epoch: [38][3030/11272] Time 0.893 (0.794) Data 0.002 (0.002) Loss 1.9111 (2.0713) Prec@1 46.875 (46.907) Prec@5 76.875 (77.358) Epoch: [38][3040/11272] Time 0.707 (0.794) Data 0.001 (0.002) Loss 2.0621 (2.0714) Prec@1 48.125 (46.905) Prec@5 76.875 (77.357) Epoch: [38][3050/11272] Time 0.880 (0.794) Data 0.002 (0.002) Loss 2.1276 (2.0712) Prec@1 45.625 (46.908) Prec@5 76.875 (77.361) Epoch: [38][3060/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.8866 (2.0711) Prec@1 51.875 (46.908) Prec@5 78.750 (77.361) Epoch: [38][3070/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0172 (2.0712) Prec@1 48.750 (46.908) Prec@5 79.375 (77.364) Epoch: [38][3080/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.9346 (2.0711) Prec@1 46.250 (46.904) Prec@5 81.250 (77.368) Epoch: [38][3090/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.0715 (2.0710) Prec@1 45.000 (46.905) Prec@5 76.875 (77.369) Epoch: [38][3100/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.1825 (2.0710) Prec@1 46.250 (46.902) Prec@5 76.250 (77.366) Epoch: [38][3110/11272] Time 0.752 (0.794) Data 0.001 (0.002) Loss 1.9146 (2.0709) Prec@1 51.875 (46.904) Prec@5 80.000 (77.366) Epoch: [38][3120/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.9133 (2.0709) Prec@1 51.250 (46.906) Prec@5 79.375 (77.364) Epoch: [38][3130/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.2682 (2.0711) Prec@1 42.500 (46.902) Prec@5 75.625 (77.358) Epoch: [38][3140/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.8842 (2.0709) Prec@1 46.250 (46.910) Prec@5 83.750 (77.362) Epoch: [38][3150/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.1981 (2.0711) Prec@1 49.375 (46.910) Prec@5 78.125 (77.358) Epoch: [38][3160/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.0723 (2.0712) Prec@1 39.375 (46.901) Prec@5 78.750 (77.360) Epoch: [38][3170/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.1492 (2.0713) Prec@1 46.250 (46.898) Prec@5 73.750 (77.360) Epoch: [38][3180/11272] Time 0.752 (0.794) Data 0.003 (0.002) Loss 2.2039 (2.0710) Prec@1 48.750 (46.903) Prec@5 78.125 (77.363) Epoch: [38][3190/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.1894 (2.0710) Prec@1 45.625 (46.906) Prec@5 73.750 (77.362) Epoch: [38][3200/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 1.8197 (2.0709) Prec@1 50.625 (46.908) Prec@5 83.125 (77.367) Epoch: [38][3210/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.2457 (2.0710) Prec@1 41.250 (46.902) Prec@5 76.250 (77.366) Epoch: [38][3220/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0573 (2.0712) Prec@1 44.375 (46.895) Prec@5 77.500 (77.366) Epoch: [38][3230/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.9246 (2.0710) Prec@1 48.125 (46.900) Prec@5 80.000 (77.371) Epoch: [38][3240/11272] Time 0.877 (0.794) Data 0.002 (0.002) Loss 2.0907 (2.0710) Prec@1 47.500 (46.897) Prec@5 79.375 (77.373) Epoch: [38][3250/11272] Time 0.921 (0.794) Data 0.002 (0.002) Loss 2.3705 (2.0712) Prec@1 42.500 (46.894) Prec@5 71.250 (77.372) Epoch: [38][3260/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.0339 (2.0711) Prec@1 48.125 (46.896) Prec@5 74.375 (77.374) Epoch: [38][3270/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 1.9061 (2.0711) Prec@1 44.375 (46.897) Prec@5 83.125 (77.375) Epoch: [38][3280/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.0169 (2.0712) Prec@1 47.500 (46.896) Prec@5 79.375 (77.373) Epoch: [38][3290/11272] Time 0.790 (0.794) Data 0.001 (0.002) Loss 2.1227 (2.0713) Prec@1 49.375 (46.898) Prec@5 75.000 (77.370) Epoch: [38][3300/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 2.1489 (2.0714) Prec@1 43.750 (46.895) Prec@5 78.125 (77.372) Epoch: [38][3310/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.8690 (2.0713) Prec@1 48.125 (46.894) Prec@5 82.500 (77.374) Epoch: [38][3320/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.1835 (2.0715) Prec@1 45.625 (46.891) Prec@5 75.000 (77.368) Epoch: [38][3330/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.0300 (2.0717) Prec@1 50.000 (46.888) Prec@5 76.875 (77.369) Epoch: [38][3340/11272] Time 0.761 (0.794) Data 0.001 (0.002) Loss 2.2859 (2.0717) Prec@1 44.375 (46.887) Prec@5 73.750 (77.367) Epoch: [38][3350/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.1730 (2.0716) Prec@1 44.375 (46.892) Prec@5 76.875 (77.366) Epoch: [38][3360/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.1739 (2.0716) Prec@1 45.000 (46.894) Prec@5 74.375 (77.369) Epoch: [38][3370/11272] Time 0.752 (0.794) Data 0.001 (0.002) Loss 2.2095 (2.0717) Prec@1 42.500 (46.896) Prec@5 71.875 (77.368) Epoch: [38][3380/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.1040 (2.0716) Prec@1 50.625 (46.895) Prec@5 74.375 (77.369) Epoch: [38][3390/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 1.9215 (2.0719) Prec@1 54.375 (46.893) Prec@5 80.000 (77.364) Epoch: [38][3400/11272] Time 0.893 (0.794) Data 0.002 (0.002) Loss 2.1567 (2.0718) Prec@1 48.125 (46.894) Prec@5 76.250 (77.365) Epoch: [38][3410/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.0884 (2.0721) Prec@1 44.375 (46.884) Prec@5 75.000 (77.360) Epoch: [38][3420/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0675 (2.0722) Prec@1 44.375 (46.875) Prec@5 78.750 (77.358) Epoch: [38][3430/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.1605 (2.0722) Prec@1 47.500 (46.872) Prec@5 74.375 (77.357) Epoch: [38][3440/11272] Time 0.725 (0.794) Data 0.003 (0.002) Loss 2.2943 (2.0723) Prec@1 44.375 (46.865) Prec@5 74.375 (77.353) Epoch: [38][3450/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 1.9293 (2.0723) Prec@1 51.875 (46.863) Prec@5 80.625 (77.354) Epoch: [38][3460/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.9756 (2.0724) Prec@1 46.250 (46.860) Prec@5 78.125 (77.353) Epoch: [38][3470/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 1.9926 (2.0726) Prec@1 47.500 (46.854) Prec@5 75.625 (77.354) Epoch: [38][3480/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.7541 (2.0725) Prec@1 55.000 (46.853) Prec@5 82.500 (77.353) Epoch: [38][3490/11272] Time 0.707 (0.794) Data 0.001 (0.002) Loss 2.1283 (2.0725) Prec@1 43.125 (46.854) Prec@5 78.125 (77.354) Epoch: [38][3500/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.9715 (2.0724) Prec@1 48.125 (46.856) Prec@5 78.125 (77.355) Epoch: [38][3510/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.8911 (2.0725) Prec@1 52.500 (46.853) Prec@5 76.875 (77.352) Epoch: [38][3520/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.0013 (2.0724) Prec@1 43.750 (46.849) Prec@5 76.875 (77.353) Epoch: [38][3530/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.3496 (2.0725) Prec@1 43.750 (46.849) Prec@5 71.875 (77.351) Epoch: [38][3540/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.1507 (2.0726) Prec@1 50.000 (46.847) Prec@5 73.750 (77.348) Epoch: [38][3550/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9975 (2.0727) Prec@1 51.875 (46.850) Prec@5 79.375 (77.349) Epoch: [38][3560/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 1.9017 (2.0725) Prec@1 46.875 (46.848) Prec@5 77.500 (77.353) Epoch: [38][3570/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 2.0265 (2.0724) Prec@1 48.125 (46.853) Prec@5 78.125 (77.354) Epoch: [38][3580/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.3100 (2.0725) Prec@1 43.750 (46.850) Prec@5 73.125 (77.352) Epoch: [38][3590/11272] Time 0.760 (0.794) Data 0.001 (0.002) Loss 2.2103 (2.0726) Prec@1 48.125 (46.848) Prec@5 76.875 (77.350) Epoch: [38][3600/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1574 (2.0727) Prec@1 47.500 (46.849) Prec@5 73.125 (77.351) Epoch: [38][3610/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0446 (2.0727) Prec@1 47.500 (46.848) Prec@5 79.375 (77.349) Epoch: [38][3620/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.1284 (2.0725) Prec@1 47.500 (46.853) Prec@5 74.375 (77.351) Epoch: [38][3630/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1348 (2.0722) Prec@1 48.750 (46.863) Prec@5 78.750 (77.357) Epoch: [38][3640/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.7931 (2.0720) Prec@1 53.750 (46.870) Prec@5 79.375 (77.361) Epoch: [38][3650/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.0241 (2.0721) Prec@1 48.750 (46.864) Prec@5 80.625 (77.361) Epoch: [38][3660/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.0375 (2.0722) Prec@1 50.000 (46.864) Prec@5 76.875 (77.360) Epoch: [38][3670/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.2587 (2.0723) Prec@1 44.375 (46.863) Prec@5 75.625 (77.359) Epoch: [38][3680/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.1072 (2.0724) Prec@1 42.500 (46.865) Prec@5 78.750 (77.357) Epoch: [38][3690/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 2.0918 (2.0725) Prec@1 52.500 (46.863) Prec@5 78.125 (77.354) Epoch: [38][3700/11272] Time 0.823 (0.794) Data 0.002 (0.002) Loss 2.0508 (2.0727) Prec@1 43.125 (46.858) Prec@5 76.250 (77.351) Epoch: [38][3710/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.1887 (2.0727) Prec@1 41.875 (46.859) Prec@5 75.000 (77.350) Epoch: [38][3720/11272] Time 0.881 (0.794) Data 0.001 (0.002) Loss 2.2116 (2.0727) Prec@1 44.375 (46.858) Prec@5 72.500 (77.353) Epoch: [38][3730/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0617 (2.0727) Prec@1 44.375 (46.854) Prec@5 77.500 (77.352) Epoch: [38][3740/11272] Time 0.769 (0.794) Data 0.001 (0.002) Loss 2.0706 (2.0727) Prec@1 46.875 (46.857) Prec@5 77.500 (77.353) Epoch: [38][3750/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.1436 (2.0727) Prec@1 49.375 (46.859) Prec@5 75.625 (77.351) Epoch: [38][3760/11272] Time 0.820 (0.794) Data 0.002 (0.002) Loss 2.2766 (2.0725) Prec@1 42.500 (46.859) Prec@5 73.125 (77.353) Epoch: [38][3770/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.2505 (2.0726) Prec@1 45.000 (46.859) Prec@5 75.000 (77.354) Epoch: [38][3780/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 1.8630 (2.0725) Prec@1 56.250 (46.861) Prec@5 78.750 (77.358) Epoch: [38][3790/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 2.3181 (2.0726) Prec@1 37.500 (46.854) Prec@5 73.750 (77.358) Epoch: [38][3800/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 1.7934 (2.0725) Prec@1 50.000 (46.856) Prec@5 82.500 (77.361) Epoch: [38][3810/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 1.9275 (2.0725) Prec@1 50.625 (46.858) Prec@5 79.375 (77.364) Epoch: [38][3820/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 1.9676 (2.0724) Prec@1 46.875 (46.864) Prec@5 77.500 (77.365) Epoch: [38][3830/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9829 (2.0723) Prec@1 51.250 (46.867) Prec@5 80.625 (77.368) Epoch: [38][3840/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 1.8586 (2.0723) Prec@1 55.000 (46.869) Prec@5 80.625 (77.366) Epoch: [38][3850/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.1790 (2.0724) Prec@1 43.750 (46.870) Prec@5 73.750 (77.367) Epoch: [38][3860/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.2883 (2.0725) Prec@1 49.375 (46.868) Prec@5 72.500 (77.364) Epoch: [38][3870/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 2.4020 (2.0728) Prec@1 40.000 (46.859) Prec@5 69.375 (77.361) Epoch: [38][3880/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9013 (2.0728) Prec@1 54.375 (46.858) Prec@5 79.375 (77.359) Epoch: [38][3890/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.9556 (2.0729) Prec@1 51.250 (46.854) Prec@5 78.125 (77.358) Epoch: [38][3900/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.8128 (2.0726) Prec@1 55.625 (46.860) Prec@5 83.125 (77.364) Epoch: [38][3910/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.2340 (2.0726) Prec@1 45.000 (46.861) Prec@5 76.250 (77.368) Epoch: [38][3920/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.9334 (2.0726) Prec@1 46.250 (46.859) Prec@5 81.250 (77.368) Epoch: [38][3930/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.9396 (2.0724) Prec@1 49.375 (46.864) Prec@5 84.375 (77.372) Epoch: [38][3940/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.1729 (2.0727) Prec@1 46.875 (46.861) Prec@5 75.625 (77.370) Epoch: [38][3950/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 1.9568 (2.0725) Prec@1 45.625 (46.863) Prec@5 77.500 (77.371) Epoch: [38][3960/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.2245 (2.0725) Prec@1 39.375 (46.866) Prec@5 75.000 (77.370) Epoch: [38][3970/11272] Time 0.763 (0.794) Data 0.001 (0.002) Loss 2.0630 (2.0724) Prec@1 41.875 (46.871) Prec@5 80.625 (77.373) Epoch: [38][3980/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.1449 (2.0723) Prec@1 46.875 (46.872) Prec@5 75.625 (77.373) Epoch: [38][3990/11272] Time 0.903 (0.794) Data 0.002 (0.002) Loss 1.8133 (2.0722) Prec@1 53.125 (46.876) Prec@5 83.125 (77.378) Epoch: [38][4000/11272] Time 0.760 (0.794) Data 0.001 (0.002) Loss 1.9242 (2.0724) Prec@1 53.125 (46.872) Prec@5 76.875 (77.374) Epoch: [38][4010/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.0368 (2.0725) Prec@1 46.250 (46.870) Prec@5 78.125 (77.371) Epoch: [38][4020/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.1678 (2.0724) Prec@1 43.125 (46.871) Prec@5 73.750 (77.370) Epoch: [38][4030/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.3458 (2.0727) Prec@1 35.625 (46.860) Prec@5 76.875 (77.367) Epoch: [38][4040/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.0157 (2.0728) Prec@1 46.875 (46.857) Prec@5 76.875 (77.364) Epoch: [38][4050/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.2820 (2.0727) Prec@1 43.750 (46.863) Prec@5 72.500 (77.362) Epoch: [38][4060/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.2832 (2.0730) Prec@1 43.750 (46.859) Prec@5 69.375 (77.357) Epoch: [38][4070/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.2944 (2.0732) Prec@1 38.125 (46.853) Prec@5 77.500 (77.354) Epoch: [38][4080/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.2233 (2.0732) Prec@1 45.625 (46.855) Prec@5 75.000 (77.353) Epoch: [38][4090/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 2.2960 (2.0732) Prec@1 46.875 (46.854) Prec@5 73.750 (77.352) Epoch: [38][4100/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.9309 (2.0732) Prec@1 50.625 (46.856) Prec@5 81.250 (77.355) Epoch: [38][4110/11272] Time 0.752 (0.794) Data 0.003 (0.002) Loss 2.1774 (2.0733) Prec@1 45.000 (46.852) Prec@5 78.750 (77.354) Epoch: [38][4120/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.0742 (2.0731) Prec@1 43.750 (46.857) Prec@5 78.125 (77.359) Epoch: [38][4130/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1177 (2.0731) Prec@1 44.375 (46.854) Prec@5 79.375 (77.359) Epoch: [38][4140/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.8963 (2.0731) Prec@1 48.750 (46.853) Prec@5 82.500 (77.359) Epoch: [38][4150/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.1327 (2.0733) Prec@1 45.625 (46.852) Prec@5 78.750 (77.357) Epoch: [38][4160/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1265 (2.0733) Prec@1 41.250 (46.851) Prec@5 73.750 (77.357) Epoch: [38][4170/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0045 (2.0731) Prec@1 43.125 (46.857) Prec@5 80.625 (77.360) Epoch: [38][4180/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 1.8523 (2.0731) Prec@1 52.500 (46.858) Prec@5 81.875 (77.361) Epoch: [38][4190/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.2620 (2.0734) Prec@1 41.875 (46.852) Prec@5 79.375 (77.355) Epoch: [38][4200/11272] Time 0.780 (0.794) Data 0.002 (0.002) Loss 2.1028 (2.0735) Prec@1 51.250 (46.852) Prec@5 78.750 (77.353) Epoch: [38][4210/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.2242 (2.0736) Prec@1 37.500 (46.847) Prec@5 75.000 (77.350) Epoch: [38][4220/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 1.9813 (2.0736) Prec@1 46.250 (46.844) Prec@5 76.875 (77.351) Epoch: [38][4230/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.2110 (2.0735) Prec@1 45.625 (46.848) Prec@5 73.750 (77.351) Epoch: [38][4240/11272] Time 0.884 (0.794) Data 0.001 (0.002) Loss 2.2591 (2.0737) Prec@1 45.000 (46.841) Prec@5 78.125 (77.347) Epoch: [38][4250/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0836 (2.0738) Prec@1 46.250 (46.839) Prec@5 76.250 (77.348) Epoch: [38][4260/11272] Time 0.759 (0.794) Data 0.001 (0.002) Loss 2.4116 (2.0738) Prec@1 42.500 (46.844) Prec@5 70.000 (77.346) Epoch: [38][4270/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.2350 (2.0741) Prec@1 46.875 (46.839) Prec@5 76.250 (77.339) Epoch: [38][4280/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.2318 (2.0740) Prec@1 44.375 (46.840) Prec@5 73.125 (77.340) Epoch: [38][4290/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.9651 (2.0741) Prec@1 48.125 (46.839) Prec@5 78.125 (77.336) Epoch: [38][4300/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1247 (2.0741) Prec@1 43.750 (46.836) Prec@5 80.000 (77.335) Epoch: [38][4310/11272] Time 0.779 (0.794) Data 0.002 (0.002) Loss 1.8376 (2.0741) Prec@1 55.625 (46.838) Prec@5 80.625 (77.335) Epoch: [38][4320/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.3738 (2.0742) Prec@1 42.500 (46.839) Prec@5 67.500 (77.335) Epoch: [38][4330/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 1.9979 (2.0742) Prec@1 49.375 (46.836) Prec@5 80.625 (77.334) Epoch: [38][4340/11272] Time 0.703 (0.794) Data 0.001 (0.002) Loss 2.2231 (2.0744) Prec@1 44.375 (46.836) Prec@5 77.500 (77.333) Epoch: [38][4350/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.1020 (2.0744) Prec@1 49.375 (46.836) Prec@5 77.500 (77.334) Epoch: [38][4360/11272] Time 0.882 (0.794) Data 0.002 (0.002) Loss 1.8314 (2.0745) Prec@1 47.500 (46.832) Prec@5 85.000 (77.335) Epoch: [38][4370/11272] Time 0.751 (0.794) Data 0.003 (0.002) Loss 2.1965 (2.0744) Prec@1 42.500 (46.834) Prec@5 79.375 (77.337) Epoch: [38][4380/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.7976 (2.0746) Prec@1 50.625 (46.833) Prec@5 84.375 (77.332) Epoch: [38][4390/11272] Time 0.820 (0.794) Data 0.002 (0.002) Loss 2.2007 (2.0744) Prec@1 40.000 (46.836) Prec@5 75.625 (77.335) Epoch: [38][4400/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.0397 (2.0745) Prec@1 45.625 (46.836) Prec@5 74.375 (77.333) Epoch: [38][4410/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.3896 (2.0747) Prec@1 39.375 (46.833) Prec@5 71.875 (77.332) Epoch: [38][4420/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.0363 (2.0746) Prec@1 45.000 (46.834) Prec@5 80.000 (77.334) Epoch: [38][4430/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.1696 (2.0748) Prec@1 42.500 (46.832) Prec@5 77.500 (77.329) Epoch: [38][4440/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 2.0183 (2.0748) Prec@1 48.750 (46.832) Prec@5 79.375 (77.331) Epoch: [38][4450/11272] Time 0.767 (0.794) Data 0.002 (0.002) Loss 2.0335 (2.0747) Prec@1 47.500 (46.832) Prec@5 78.125 (77.331) Epoch: [38][4460/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.3858 (2.0748) Prec@1 40.625 (46.831) Prec@5 68.125 (77.328) Epoch: [38][4470/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.0822 (2.0747) Prec@1 46.250 (46.828) Prec@5 80.000 (77.332) Epoch: [38][4480/11272] Time 0.820 (0.794) Data 0.002 (0.002) Loss 2.2855 (2.0748) Prec@1 43.750 (46.826) Prec@5 73.125 (77.333) Epoch: [38][4490/11272] Time 0.705 (0.794) Data 0.001 (0.002) Loss 2.0326 (2.0748) Prec@1 50.625 (46.824) Prec@5 79.375 (77.331) Epoch: [38][4500/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 2.0600 (2.0748) Prec@1 45.000 (46.823) Prec@5 78.750 (77.330) Epoch: [38][4510/11272] Time 0.884 (0.794) Data 0.002 (0.002) Loss 2.0466 (2.0749) Prec@1 48.125 (46.823) Prec@5 77.500 (77.331) Epoch: [38][4520/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 2.1046 (2.0749) Prec@1 47.500 (46.820) Prec@5 76.875 (77.328) Epoch: [38][4530/11272] Time 0.799 (0.794) Data 0.002 (0.002) Loss 2.1245 (2.0750) Prec@1 42.500 (46.819) Prec@5 78.750 (77.329) Epoch: [38][4540/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.0852 (2.0750) Prec@1 43.125 (46.817) Prec@5 80.625 (77.326) Epoch: [38][4550/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 2.2242 (2.0751) Prec@1 43.125 (46.818) Prec@5 69.375 (77.325) Epoch: [38][4560/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.1849 (2.0749) Prec@1 41.250 (46.822) Prec@5 78.125 (77.328) Epoch: [38][4570/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.2516 (2.0749) Prec@1 40.625 (46.826) Prec@5 74.375 (77.329) Epoch: [38][4580/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.0060 (2.0750) Prec@1 47.500 (46.822) Prec@5 78.750 (77.328) Epoch: [38][4590/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 1.9747 (2.0750) Prec@1 48.125 (46.824) Prec@5 76.875 (77.329) Epoch: [38][4600/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 2.1550 (2.0749) Prec@1 43.750 (46.826) Prec@5 75.000 (77.331) Epoch: [38][4610/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.9918 (2.0749) Prec@1 46.250 (46.827) Prec@5 80.000 (77.330) Epoch: [38][4620/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.8864 (2.0748) Prec@1 48.125 (46.829) Prec@5 83.750 (77.333) Epoch: [38][4630/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.9049 (2.0748) Prec@1 50.000 (46.828) Prec@5 78.750 (77.332) Epoch: [38][4640/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1614 (2.0751) Prec@1 46.875 (46.823) Prec@5 75.625 (77.326) Epoch: [38][4650/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9189 (2.0752) Prec@1 53.750 (46.822) Prec@5 79.375 (77.323) Epoch: [38][4660/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.3384 (2.0753) Prec@1 43.125 (46.818) Prec@5 71.875 (77.321) Epoch: [38][4670/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0783 (2.0753) Prec@1 45.000 (46.817) Prec@5 79.375 (77.321) Epoch: [38][4680/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1824 (2.0753) Prec@1 47.500 (46.822) Prec@5 75.000 (77.321) Epoch: [38][4690/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.1596 (2.0753) Prec@1 41.875 (46.820) Prec@5 75.000 (77.321) Epoch: [38][4700/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.1421 (2.0752) Prec@1 45.000 (46.820) Prec@5 75.625 (77.323) Epoch: [38][4710/11272] Time 0.755 (0.794) Data 0.001 (0.002) Loss 2.2514 (2.0752) Prec@1 41.250 (46.820) Prec@5 73.125 (77.322) Epoch: [38][4720/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.2482 (2.0753) Prec@1 45.000 (46.818) Prec@5 72.500 (77.318) Epoch: [38][4730/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.1375 (2.0755) Prec@1 42.500 (46.815) Prec@5 77.500 (77.315) Epoch: [38][4740/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.1149 (2.0754) Prec@1 47.500 (46.818) Prec@5 78.125 (77.318) Epoch: [38][4750/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.0448 (2.0755) Prec@1 48.750 (46.815) Prec@5 77.500 (77.317) Epoch: [38][4760/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 2.1322 (2.0754) Prec@1 42.500 (46.813) Prec@5 77.500 (77.318) Epoch: [38][4770/11272] Time 0.811 (0.794) Data 0.001 (0.002) Loss 2.1729 (2.0755) Prec@1 42.500 (46.812) Prec@5 76.250 (77.317) Epoch: [38][4780/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.0249 (2.0756) Prec@1 41.875 (46.809) Prec@5 75.625 (77.315) Epoch: [38][4790/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.7981 (2.0756) Prec@1 53.750 (46.808) Prec@5 80.625 (77.316) Epoch: [38][4800/11272] Time 0.818 (0.794) Data 0.001 (0.002) Loss 2.0445 (2.0757) Prec@1 46.875 (46.806) Prec@5 76.875 (77.317) Epoch: [38][4810/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.1647 (2.0757) Prec@1 45.000 (46.805) Prec@5 75.625 (77.317) Epoch: [38][4820/11272] Time 0.765 (0.794) Data 0.002 (0.002) Loss 2.0450 (2.0757) Prec@1 48.750 (46.806) Prec@5 76.250 (77.314) Epoch: [38][4830/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0860 (2.0758) Prec@1 48.125 (46.804) Prec@5 76.875 (77.310) Epoch: [38][4840/11272] Time 0.867 (0.794) Data 0.001 (0.002) Loss 2.1922 (2.0760) Prec@1 43.125 (46.802) Prec@5 76.875 (77.308) Epoch: [38][4850/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.7806 (2.0759) Prec@1 55.000 (46.804) Prec@5 80.000 (77.306) Epoch: [38][4860/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.3880 (2.0760) Prec@1 40.625 (46.800) Prec@5 71.250 (77.306) Epoch: [38][4870/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0782 (2.0760) Prec@1 44.375 (46.801) Prec@5 78.750 (77.305) Epoch: [38][4880/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.0496 (2.0759) Prec@1 41.250 (46.801) Prec@5 80.000 (77.306) Epoch: [38][4890/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 1.8839 (2.0758) Prec@1 53.125 (46.803) Prec@5 81.250 (77.310) Epoch: [38][4900/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0831 (2.0759) Prec@1 48.125 (46.801) Prec@5 76.875 (77.308) Epoch: [38][4910/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.3911 (2.0761) Prec@1 41.250 (46.797) Prec@5 68.750 (77.305) Epoch: [38][4920/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.9667 (2.0761) Prec@1 47.500 (46.794) Prec@5 82.500 (77.304) Epoch: [38][4930/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0345 (2.0760) Prec@1 46.875 (46.798) Prec@5 79.375 (77.305) Epoch: [38][4940/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0644 (2.0761) Prec@1 44.375 (46.794) Prec@5 80.000 (77.303) Epoch: [38][4950/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.1200 (2.0761) Prec@1 44.375 (46.795) Prec@5 74.375 (77.303) Epoch: [38][4960/11272] Time 0.888 (0.794) Data 0.002 (0.002) Loss 2.1240 (2.0759) Prec@1 43.125 (46.795) Prec@5 78.750 (77.306) Epoch: [38][4970/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.0934 (2.0760) Prec@1 50.625 (46.795) Prec@5 76.250 (77.305) Epoch: [38][4980/11272] Time 0.710 (0.794) Data 0.001 (0.002) Loss 2.3069 (2.0762) Prec@1 44.375 (46.791) Prec@5 72.500 (77.302) Epoch: [38][4990/11272] Time 0.868 (0.794) Data 0.001 (0.002) Loss 2.1765 (2.0762) Prec@1 43.750 (46.790) Prec@5 75.000 (77.304) Epoch: [38][5000/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.0080 (2.0762) Prec@1 50.625 (46.795) Prec@5 78.750 (77.305) Epoch: [38][5010/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.2166 (2.0761) Prec@1 43.750 (46.794) Prec@5 74.375 (77.306) Epoch: [38][5020/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0608 (2.0763) Prec@1 46.875 (46.789) Prec@5 77.500 (77.303) Epoch: [38][5030/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.9985 (2.0763) Prec@1 47.500 (46.788) Prec@5 78.125 (77.305) Epoch: [38][5040/11272] Time 0.736 (0.794) Data 0.004 (0.002) Loss 1.9791 (2.0763) Prec@1 46.875 (46.786) Prec@5 78.750 (77.307) Epoch: [38][5050/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1560 (2.0763) Prec@1 50.000 (46.787) Prec@5 76.250 (77.306) Epoch: [38][5060/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.1733 (2.0764) Prec@1 49.375 (46.787) Prec@5 78.125 (77.305) Epoch: [38][5070/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1079 (2.0763) Prec@1 44.375 (46.788) Prec@5 75.625 (77.306) Epoch: [38][5080/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.1257 (2.0763) Prec@1 42.500 (46.783) Prec@5 75.625 (77.306) Epoch: [38][5090/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.1876 (2.0764) Prec@1 41.250 (46.781) Prec@5 76.250 (77.303) Epoch: [38][5100/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.1251 (2.0763) Prec@1 45.625 (46.784) Prec@5 74.375 (77.307) Epoch: [38][5110/11272] Time 0.820 (0.794) Data 0.002 (0.002) Loss 2.2080 (2.0764) Prec@1 53.125 (46.786) Prec@5 75.000 (77.304) Epoch: [38][5120/11272] Time 0.713 (0.794) Data 0.002 (0.002) Loss 1.8967 (2.0763) Prec@1 49.375 (46.789) Prec@5 81.875 (77.307) Epoch: [38][5130/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 1.9521 (2.0763) Prec@1 48.750 (46.788) Prec@5 76.875 (77.304) Epoch: [38][5140/11272] Time 0.791 (0.794) Data 0.001 (0.002) Loss 1.9575 (2.0763) Prec@1 48.125 (46.789) Prec@5 79.375 (77.306) Epoch: [38][5150/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.2216 (2.0761) Prec@1 49.375 (46.795) Prec@5 75.000 (77.307) Epoch: [38][5160/11272] Time 0.779 (0.794) Data 0.002 (0.002) Loss 1.9370 (2.0760) Prec@1 52.500 (46.801) Prec@5 81.875 (77.310) Epoch: [38][5170/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.0683 (2.0761) Prec@1 43.125 (46.799) Prec@5 78.125 (77.309) Epoch: [38][5180/11272] Time 0.849 (0.794) Data 0.002 (0.002) Loss 2.2382 (2.0761) Prec@1 47.500 (46.799) Prec@5 73.125 (77.308) Epoch: [38][5190/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0117 (2.0761) Prec@1 45.625 (46.795) Prec@5 76.875 (77.309) Epoch: [38][5200/11272] Time 0.752 (0.794) Data 0.001 (0.002) Loss 1.8504 (2.0760) Prec@1 55.625 (46.799) Prec@5 82.500 (77.310) Epoch: [38][5210/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 2.0595 (2.0760) Prec@1 46.875 (46.799) Prec@5 78.125 (77.309) Epoch: [38][5220/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.2289 (2.0761) Prec@1 42.500 (46.798) Prec@5 75.625 (77.308) Epoch: [38][5230/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 1.9926 (2.0761) Prec@1 45.625 (46.798) Prec@5 78.125 (77.308) Epoch: [38][5240/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1834 (2.0762) Prec@1 42.500 (46.797) Prec@5 77.500 (77.308) Epoch: [38][5250/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.1247 (2.0761) Prec@1 45.625 (46.798) Prec@5 73.125 (77.308) Epoch: [38][5260/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0710 (2.0761) Prec@1 45.000 (46.795) Prec@5 78.125 (77.309) Epoch: [38][5270/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1443 (2.0762) Prec@1 41.875 (46.794) Prec@5 78.125 (77.308) Epoch: [38][5280/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0298 (2.0762) Prec@1 47.500 (46.793) Prec@5 78.750 (77.307) Epoch: [38][5290/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.9892 (2.0762) Prec@1 46.875 (46.796) Prec@5 80.625 (77.307) Epoch: [38][5300/11272] Time 0.736 (0.794) Data 0.003 (0.002) Loss 1.9367 (2.0760) Prec@1 51.250 (46.802) Prec@5 80.625 (77.310) Epoch: [38][5310/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.9382 (2.0759) Prec@1 49.375 (46.802) Prec@5 78.125 (77.310) Epoch: [38][5320/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.2590 (2.0760) Prec@1 40.625 (46.799) Prec@5 73.125 (77.308) Epoch: [38][5330/11272] Time 0.908 (0.794) Data 0.001 (0.002) Loss 2.0944 (2.0760) Prec@1 48.125 (46.799) Prec@5 77.500 (77.309) Epoch: [38][5340/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0509 (2.0760) Prec@1 46.875 (46.803) Prec@5 77.500 (77.309) Epoch: [38][5350/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 2.2063 (2.0761) Prec@1 46.875 (46.802) Prec@5 73.750 (77.308) Epoch: [38][5360/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.0905 (2.0761) Prec@1 45.625 (46.799) Prec@5 80.000 (77.306) Epoch: [38][5370/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 1.8205 (2.0761) Prec@1 46.875 (46.798) Prec@5 84.375 (77.306) Epoch: [38][5380/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.9889 (2.0761) Prec@1 48.125 (46.797) Prec@5 77.500 (77.304) Epoch: [38][5390/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0993 (2.0761) Prec@1 48.750 (46.798) Prec@5 80.000 (77.307) Epoch: [38][5400/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.0912 (2.0760) Prec@1 47.500 (46.799) Prec@5 73.750 (77.308) Epoch: [38][5410/11272] Time 0.821 (0.794) Data 0.002 (0.002) Loss 2.3630 (2.0761) Prec@1 45.000 (46.802) Prec@5 72.500 (77.309) Epoch: [38][5420/11272] Time 0.769 (0.794) Data 0.002 (0.002) Loss 2.2512 (2.0760) Prec@1 41.875 (46.802) Prec@5 72.500 (77.310) Epoch: [38][5430/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.0300 (2.0760) Prec@1 46.250 (46.801) Prec@5 78.125 (77.310) Epoch: [38][5440/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.0952 (2.0761) Prec@1 43.750 (46.798) Prec@5 81.250 (77.309) Epoch: [38][5450/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 2.0917 (2.0761) Prec@1 46.875 (46.800) Prec@5 75.625 (77.309) Epoch: [38][5460/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.9584 (2.0762) Prec@1 46.250 (46.799) Prec@5 78.125 (77.307) Epoch: [38][5470/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0199 (2.0761) Prec@1 50.000 (46.802) Prec@5 78.125 (77.310) Epoch: [38][5480/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 2.1646 (2.0762) Prec@1 43.125 (46.801) Prec@5 75.000 (77.309) Epoch: [38][5490/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.8676 (2.0762) Prec@1 46.875 (46.801) Prec@5 80.000 (77.307) Epoch: [38][5500/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.1412 (2.0762) Prec@1 51.250 (46.801) Prec@5 77.500 (77.308) Epoch: [38][5510/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1481 (2.0762) Prec@1 46.250 (46.801) Prec@5 73.125 (77.308) Epoch: [38][5520/11272] Time 0.811 (0.794) Data 0.002 (0.002) Loss 2.0876 (2.0763) Prec@1 47.500 (46.802) Prec@5 75.625 (77.308) Epoch: [38][5530/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8204 (2.0762) Prec@1 50.000 (46.803) Prec@5 79.375 (77.307) Epoch: [38][5540/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.3008 (2.0763) Prec@1 41.250 (46.801) Prec@5 72.500 (77.306) Epoch: [38][5550/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.2354 (2.0764) Prec@1 47.500 (46.800) Prec@5 73.750 (77.303) Epoch: [38][5560/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1106 (2.0764) Prec@1 48.750 (46.802) Prec@5 76.250 (77.303) Epoch: [38][5570/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.1152 (2.0764) Prec@1 45.000 (46.800) Prec@5 75.625 (77.302) Epoch: [38][5580/11272] Time 0.867 (0.794) Data 0.001 (0.002) Loss 2.1803 (2.0766) Prec@1 43.125 (46.798) Prec@5 76.250 (77.300) Epoch: [38][5590/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.0974 (2.0767) Prec@1 48.125 (46.796) Prec@5 78.125 (77.297) Epoch: [38][5600/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 1.8510 (2.0767) Prec@1 56.875 (46.797) Prec@5 80.625 (77.295) Epoch: [38][5610/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 2.0296 (2.0768) Prec@1 45.625 (46.796) Prec@5 83.750 (77.295) Epoch: [38][5620/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1649 (2.0768) Prec@1 46.250 (46.798) Prec@5 76.250 (77.294) Epoch: [38][5630/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.0168 (2.0767) Prec@1 56.250 (46.801) Prec@5 75.000 (77.295) Epoch: [38][5640/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.2627 (2.0767) Prec@1 38.750 (46.801) Prec@5 71.250 (77.295) Epoch: [38][5650/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0657 (2.0768) Prec@1 48.750 (46.800) Prec@5 75.625 (77.295) Epoch: [38][5660/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.2699 (2.0767) Prec@1 41.875 (46.799) Prec@5 75.000 (77.297) Epoch: [38][5670/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.1776 (2.0767) Prec@1 45.000 (46.799) Prec@5 77.500 (77.296) Epoch: [38][5680/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.2835 (2.0768) Prec@1 45.000 (46.797) Prec@5 75.000 (77.296) Epoch: [38][5690/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 2.1212 (2.0768) Prec@1 46.250 (46.795) Prec@5 76.250 (77.296) Epoch: [38][5700/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.1187 (2.0769) Prec@1 46.875 (46.795) Prec@5 75.000 (77.295) Epoch: [38][5710/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.5196 (2.0769) Prec@1 37.500 (46.794) Prec@5 69.375 (77.292) Epoch: [38][5720/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.9320 (2.0769) Prec@1 50.625 (46.793) Prec@5 78.750 (77.293) Epoch: [38][5730/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.1709 (2.0770) Prec@1 46.250 (46.792) Prec@5 75.000 (77.291) Epoch: [38][5740/11272] Time 0.909 (0.794) Data 0.002 (0.002) Loss 1.9989 (2.0769) Prec@1 46.875 (46.795) Prec@5 78.125 (77.291) Epoch: [38][5750/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.0604 (2.0769) Prec@1 46.250 (46.797) Prec@5 77.500 (77.290) Epoch: [38][5760/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 2.3677 (2.0770) Prec@1 45.000 (46.795) Prec@5 70.625 (77.289) Epoch: [38][5770/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.2305 (2.0771) Prec@1 43.750 (46.794) Prec@5 73.125 (77.287) Epoch: [38][5780/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.2692 (2.0771) Prec@1 46.875 (46.792) Prec@5 75.625 (77.287) Epoch: [38][5790/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.1289 (2.0773) Prec@1 41.875 (46.789) Prec@5 77.500 (77.284) Epoch: [38][5800/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0826 (2.0774) Prec@1 46.875 (46.786) Prec@5 79.375 (77.282) Epoch: [38][5810/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 2.0994 (2.0774) Prec@1 44.375 (46.787) Prec@5 75.000 (77.281) Epoch: [38][5820/11272] Time 0.876 (0.794) Data 0.001 (0.002) Loss 1.9359 (2.0773) Prec@1 49.375 (46.788) Prec@5 82.500 (77.283) Epoch: [38][5830/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.1566 (2.0773) Prec@1 44.375 (46.785) Prec@5 76.250 (77.285) Epoch: [38][5840/11272] Time 0.872 (0.794) Data 0.001 (0.002) Loss 2.1510 (2.0773) Prec@1 43.125 (46.788) Prec@5 76.875 (77.284) Epoch: [38][5850/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9366 (2.0775) Prec@1 46.875 (46.788) Prec@5 78.750 (77.282) Epoch: [38][5860/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.4089 (2.0775) Prec@1 46.250 (46.786) Prec@5 71.250 (77.281) Epoch: [38][5870/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.0183 (2.0776) Prec@1 48.125 (46.783) Prec@5 81.875 (77.281) Epoch: [38][5880/11272] Time 0.877 (0.794) Data 0.002 (0.002) Loss 1.8988 (2.0775) Prec@1 48.750 (46.786) Prec@5 81.875 (77.282) Epoch: [38][5890/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.2262 (2.0776) Prec@1 43.750 (46.782) Prec@5 73.750 (77.279) Epoch: [38][5900/11272] Time 0.766 (0.794) Data 0.002 (0.002) Loss 2.0722 (2.0776) Prec@1 43.750 (46.783) Prec@5 78.750 (77.278) Epoch: [38][5910/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0492 (2.0776) Prec@1 43.750 (46.783) Prec@5 77.500 (77.278) Epoch: [38][5920/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.0917 (2.0776) Prec@1 53.125 (46.785) Prec@5 75.625 (77.279) Epoch: [38][5930/11272] Time 0.864 (0.794) Data 0.001 (0.002) Loss 2.0740 (2.0777) Prec@1 48.125 (46.783) Prec@5 78.125 (77.277) Epoch: [38][5940/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0203 (2.0777) Prec@1 45.625 (46.784) Prec@5 78.125 (77.277) Epoch: [38][5950/11272] Time 0.773 (0.794) Data 0.002 (0.002) Loss 2.1632 (2.0776) Prec@1 46.250 (46.786) Prec@5 74.375 (77.279) Epoch: [38][5960/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.1853 (2.0776) Prec@1 48.125 (46.786) Prec@5 73.750 (77.278) Epoch: [38][5970/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.7884 (2.0777) Prec@1 53.750 (46.787) Prec@5 83.125 (77.277) Epoch: [38][5980/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.1978 (2.0777) Prec@1 41.250 (46.786) Prec@5 73.750 (77.278) Epoch: [38][5990/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9590 (2.0777) Prec@1 49.375 (46.785) Prec@5 81.250 (77.278) Epoch: [38][6000/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.9521 (2.0776) Prec@1 51.875 (46.785) Prec@5 80.625 (77.278) Epoch: [38][6010/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0058 (2.0777) Prec@1 50.000 (46.786) Prec@5 78.750 (77.277) Epoch: [38][6020/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1733 (2.0776) Prec@1 43.125 (46.785) Prec@5 78.750 (77.277) Epoch: [38][6030/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.1631 (2.0777) Prec@1 45.000 (46.783) Prec@5 75.625 (77.275) Epoch: [38][6040/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 1.7877 (2.0776) Prec@1 56.875 (46.786) Prec@5 82.500 (77.275) Epoch: [38][6050/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.8721 (2.0776) Prec@1 51.250 (46.784) Prec@5 82.500 (77.277) Epoch: [38][6060/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.0892 (2.0776) Prec@1 46.250 (46.784) Prec@5 80.625 (77.277) Epoch: [38][6070/11272] Time 0.803 (0.794) Data 0.001 (0.002) Loss 2.3227 (2.0778) Prec@1 38.750 (46.779) Prec@5 73.125 (77.274) Epoch: [38][6080/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.0060 (2.0778) Prec@1 43.750 (46.779) Prec@5 78.125 (77.273) Epoch: [38][6090/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1543 (2.0777) Prec@1 42.500 (46.777) Prec@5 75.000 (77.274) Epoch: [38][6100/11272] Time 0.888 (0.794) Data 0.002 (0.002) Loss 1.9196 (2.0777) Prec@1 50.000 (46.776) Prec@5 80.000 (77.275) Epoch: [38][6110/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 2.0263 (2.0777) Prec@1 42.500 (46.776) Prec@5 78.750 (77.276) Epoch: [38][6120/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 2.0718 (2.0776) Prec@1 41.875 (46.776) Prec@5 78.750 (77.276) Epoch: [38][6130/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.1992 (2.0777) Prec@1 40.000 (46.772) Prec@5 78.750 (77.274) Epoch: [38][6140/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.0251 (2.0777) Prec@1 48.125 (46.770) Prec@5 80.000 (77.275) Epoch: [38][6150/11272] Time 0.884 (0.794) Data 0.001 (0.002) Loss 2.1987 (2.0777) Prec@1 46.250 (46.768) Prec@5 72.500 (77.275) Epoch: [38][6160/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 2.2369 (2.0777) Prec@1 43.125 (46.769) Prec@5 73.750 (77.276) Epoch: [38][6170/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.1483 (2.0776) Prec@1 45.000 (46.769) Prec@5 76.250 (77.276) Epoch: [38][6180/11272] Time 0.894 (0.794) Data 0.002 (0.002) Loss 1.8694 (2.0777) Prec@1 50.625 (46.769) Prec@5 80.000 (77.275) Epoch: [38][6190/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.4050 (2.0777) Prec@1 38.125 (46.769) Prec@5 73.750 (77.277) Epoch: [38][6200/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 2.0084 (2.0777) Prec@1 51.875 (46.767) Prec@5 81.250 (77.278) Epoch: [38][6210/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0762 (2.0778) Prec@1 46.250 (46.765) Prec@5 76.875 (77.276) Epoch: [38][6220/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1566 (2.0778) Prec@1 41.250 (46.762) Prec@5 75.000 (77.279) Epoch: [38][6230/11272] Time 0.727 (0.794) Data 0.003 (0.002) Loss 2.1734 (2.0778) Prec@1 43.750 (46.759) Prec@5 73.750 (77.277) Epoch: [38][6240/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.2069 (2.0779) Prec@1 40.625 (46.759) Prec@5 78.125 (77.276) Epoch: [38][6250/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.9456 (2.0779) Prec@1 44.375 (46.757) Prec@5 83.125 (77.276) Epoch: [38][6260/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.1671 (2.0779) Prec@1 40.625 (46.757) Prec@5 73.125 (77.275) Epoch: [38][6270/11272] Time 0.709 (0.794) Data 0.001 (0.002) Loss 2.1739 (2.0780) Prec@1 42.500 (46.754) Prec@5 77.500 (77.272) Epoch: [38][6280/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.3121 (2.0780) Prec@1 38.125 (46.754) Prec@5 74.375 (77.274) Epoch: [38][6290/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.2569 (2.0781) Prec@1 41.250 (46.748) Prec@5 70.000 (77.273) Epoch: [38][6300/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.2920 (2.0780) Prec@1 42.500 (46.749) Prec@5 71.875 (77.274) Epoch: [38][6310/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.0363 (2.0780) Prec@1 51.250 (46.750) Prec@5 76.875 (77.275) Epoch: [38][6320/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 1.9523 (2.0780) Prec@1 50.625 (46.750) Prec@5 77.500 (77.275) Epoch: [38][6330/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 2.1199 (2.0781) Prec@1 41.250 (46.746) Prec@5 76.250 (77.273) Epoch: [38][6340/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 2.1852 (2.0783) Prec@1 41.875 (46.743) Prec@5 69.375 (77.268) Epoch: [38][6350/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 1.9979 (2.0783) Prec@1 49.375 (46.743) Prec@5 76.875 (77.267) Epoch: [38][6360/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0672 (2.0782) Prec@1 48.125 (46.743) Prec@5 77.500 (77.269) Epoch: [38][6370/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.1023 (2.0783) Prec@1 45.625 (46.739) Prec@5 76.875 (77.269) Epoch: [38][6380/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.3223 (2.0782) Prec@1 45.000 (46.742) Prec@5 73.125 (77.271) Epoch: [38][6390/11272] Time 0.757 (0.794) Data 0.003 (0.002) Loss 2.1784 (2.0782) Prec@1 46.250 (46.742) Prec@5 75.625 (77.272) Epoch: [38][6400/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.8078 (2.0782) Prec@1 59.375 (46.745) Prec@5 78.125 (77.271) Epoch: [38][6410/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 1.9586 (2.0781) Prec@1 50.000 (46.744) Prec@5 76.875 (77.273) Epoch: [38][6420/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.1635 (2.0780) Prec@1 43.750 (46.745) Prec@5 74.375 (77.274) Epoch: [38][6430/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0408 (2.0781) Prec@1 50.000 (46.744) Prec@5 75.625 (77.271) Epoch: [38][6440/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0587 (2.0781) Prec@1 46.875 (46.746) Prec@5 77.500 (77.271) Epoch: [38][6450/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1204 (2.0783) Prec@1 42.500 (46.742) Prec@5 78.125 (77.270) Epoch: [38][6460/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.2096 (2.0784) Prec@1 45.000 (46.741) Prec@5 77.500 (77.267) Epoch: [38][6470/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.4817 (2.0785) Prec@1 38.750 (46.739) Prec@5 69.375 (77.265) Epoch: [38][6480/11272] Time 0.904 (0.794) Data 0.002 (0.002) Loss 2.3019 (2.0786) Prec@1 43.750 (46.738) Prec@5 71.875 (77.264) Epoch: [38][6490/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.1902 (2.0787) Prec@1 45.000 (46.735) Prec@5 75.625 (77.262) Epoch: [38][6500/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1395 (2.0787) Prec@1 45.000 (46.732) Prec@5 74.375 (77.262) Epoch: [38][6510/11272] Time 0.891 (0.794) Data 0.002 (0.002) Loss 2.0569 (2.0789) Prec@1 50.000 (46.731) Prec@5 76.875 (77.258) Epoch: [38][6520/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.0456 (2.0788) Prec@1 45.000 (46.730) Prec@5 80.625 (77.259) Epoch: [38][6530/11272] Time 0.738 (0.794) Data 0.003 (0.002) Loss 2.1951 (2.0788) Prec@1 42.500 (46.727) Prec@5 75.625 (77.258) Epoch: [38][6540/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.8787 (2.0789) Prec@1 47.500 (46.726) Prec@5 80.000 (77.258) Epoch: [38][6550/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.9919 (2.0789) Prec@1 49.375 (46.726) Prec@5 81.875 (77.258) Epoch: [38][6560/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.0358 (2.0790) Prec@1 46.875 (46.726) Prec@5 79.375 (77.256) Epoch: [38][6570/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.2136 (2.0791) Prec@1 42.500 (46.725) Prec@5 75.625 (77.255) Epoch: [38][6580/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.0700 (2.0791) Prec@1 50.625 (46.724) Prec@5 73.750 (77.255) Epoch: [38][6590/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 2.1583 (2.0791) Prec@1 48.125 (46.724) Prec@5 77.500 (77.256) Epoch: [38][6600/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.1209 (2.0791) Prec@1 48.125 (46.723) Prec@5 78.125 (77.255) Epoch: [38][6610/11272] Time 0.771 (0.794) Data 0.002 (0.002) Loss 2.2433 (2.0791) Prec@1 42.500 (46.721) Prec@5 76.250 (77.255) Epoch: [38][6620/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 1.8870 (2.0792) Prec@1 53.750 (46.723) Prec@5 80.000 (77.253) Epoch: [38][6630/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1621 (2.0792) Prec@1 48.750 (46.723) Prec@5 74.375 (77.254) Epoch: [38][6640/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.8497 (2.0792) Prec@1 43.125 (46.722) Prec@5 84.375 (77.255) Epoch: [38][6650/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.9205 (2.0792) Prec@1 50.625 (46.721) Prec@5 79.375 (77.254) Epoch: [38][6660/11272] Time 0.810 (0.794) Data 0.001 (0.002) Loss 1.9180 (2.0793) Prec@1 51.250 (46.721) Prec@5 79.375 (77.252) Epoch: [38][6670/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.0240 (2.0792) Prec@1 50.000 (46.723) Prec@5 75.625 (77.252) Epoch: [38][6680/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.9863 (2.0792) Prec@1 56.875 (46.723) Prec@5 75.625 (77.251) Epoch: [38][6690/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.2596 (2.0792) Prec@1 44.375 (46.721) Prec@5 76.250 (77.252) Epoch: [38][6700/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 1.9634 (2.0793) Prec@1 47.500 (46.718) Prec@5 79.375 (77.250) Epoch: [38][6710/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.1404 (2.0793) Prec@1 41.250 (46.719) Prec@5 75.625 (77.251) Epoch: [38][6720/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.0916 (2.0792) Prec@1 48.750 (46.719) Prec@5 75.625 (77.254) Epoch: [38][6730/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1230 (2.0792) Prec@1 46.250 (46.717) Prec@5 77.500 (77.252) Epoch: [38][6740/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 2.0536 (2.0792) Prec@1 50.625 (46.718) Prec@5 78.125 (77.253) Epoch: [38][6750/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.1903 (2.0791) Prec@1 43.750 (46.718) Prec@5 75.625 (77.253) Epoch: [38][6760/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9311 (2.0791) Prec@1 50.000 (46.718) Prec@5 79.375 (77.254) Epoch: [38][6770/11272] Time 0.881 (0.794) Data 0.001 (0.002) Loss 1.9712 (2.0791) Prec@1 55.000 (46.720) Prec@5 80.000 (77.255) Epoch: [38][6780/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.0918 (2.0790) Prec@1 45.000 (46.721) Prec@5 76.875 (77.258) Epoch: [38][6790/11272] Time 0.765 (0.794) Data 0.003 (0.002) Loss 2.1757 (2.0790) Prec@1 45.625 (46.721) Prec@5 73.125 (77.257) Epoch: [38][6800/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.1983 (2.0791) Prec@1 47.500 (46.721) Prec@5 70.625 (77.255) Epoch: [38][6810/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.3548 (2.0792) Prec@1 42.500 (46.721) Prec@5 71.250 (77.253) Epoch: [38][6820/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.9532 (2.0792) Prec@1 51.875 (46.721) Prec@5 79.375 (77.253) Epoch: [38][6830/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.1365 (2.0794) Prec@1 43.750 (46.717) Prec@5 76.875 (77.249) Epoch: [38][6840/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0176 (2.0793) Prec@1 49.375 (46.719) Prec@5 76.875 (77.249) Epoch: [38][6850/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.0204 (2.0793) Prec@1 44.375 (46.717) Prec@5 78.125 (77.248) Epoch: [38][6860/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.1133 (2.0792) Prec@1 38.750 (46.720) Prec@5 75.000 (77.250) Epoch: [38][6870/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1042 (2.0792) Prec@1 40.000 (46.719) Prec@5 80.000 (77.252) Epoch: [38][6880/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.9770 (2.0792) Prec@1 46.875 (46.717) Prec@5 80.000 (77.250) Epoch: [38][6890/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1655 (2.0792) Prec@1 45.625 (46.718) Prec@5 76.875 (77.250) Epoch: [38][6900/11272] Time 0.751 (0.794) Data 0.003 (0.002) Loss 2.0238 (2.0793) Prec@1 48.750 (46.715) Prec@5 80.625 (77.249) Epoch: [38][6910/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1250 (2.0793) Prec@1 41.250 (46.716) Prec@5 78.750 (77.251) Epoch: [38][6920/11272] Time 0.819 (0.794) Data 0.002 (0.002) Loss 1.9924 (2.0793) Prec@1 46.875 (46.714) Prec@5 80.625 (77.252) Epoch: [38][6930/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.0352 (2.0793) Prec@1 46.250 (46.712) Prec@5 76.875 (77.252) Epoch: [38][6940/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.2417 (2.0793) Prec@1 39.375 (46.712) Prec@5 75.625 (77.252) Epoch: [38][6950/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.9117 (2.0792) Prec@1 50.625 (46.713) Prec@5 82.500 (77.253) Epoch: [38][6960/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1038 (2.0793) Prec@1 51.250 (46.713) Prec@5 78.125 (77.253) Epoch: [38][6970/11272] Time 0.821 (0.794) Data 0.002 (0.002) Loss 2.1972 (2.0794) Prec@1 51.875 (46.712) Prec@5 72.500 (77.251) Epoch: [38][6980/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0352 (2.0794) Prec@1 50.625 (46.714) Prec@5 77.500 (77.251) Epoch: [38][6990/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.3115 (2.0794) Prec@1 42.500 (46.713) Prec@5 71.250 (77.251) Epoch: [38][7000/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 2.4035 (2.0795) Prec@1 41.250 (46.711) Prec@5 74.375 (77.250) Epoch: [38][7010/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.9273 (2.0796) Prec@1 50.625 (46.711) Prec@5 80.625 (77.248) Epoch: [38][7020/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0915 (2.0797) Prec@1 50.000 (46.707) Prec@5 78.125 (77.247) Epoch: [38][7030/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1380 (2.0798) Prec@1 46.250 (46.706) Prec@5 76.875 (77.245) Epoch: [38][7040/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.1498 (2.0799) Prec@1 50.625 (46.704) Prec@5 73.750 (77.243) Epoch: [38][7050/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1721 (2.0799) Prec@1 51.250 (46.705) Prec@5 76.250 (77.243) Epoch: [38][7060/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.2911 (2.0799) Prec@1 44.375 (46.706) Prec@5 71.875 (77.243) Epoch: [38][7070/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.0667 (2.0798) Prec@1 49.375 (46.709) Prec@5 75.625 (77.243) Epoch: [38][7080/11272] Time 0.846 (0.794) Data 0.003 (0.002) Loss 1.8751 (2.0798) Prec@1 55.000 (46.710) Prec@5 78.750 (77.243) Epoch: [38][7090/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 1.9451 (2.0798) Prec@1 45.625 (46.709) Prec@5 76.875 (77.243) Epoch: [38][7100/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.1851 (2.0798) Prec@1 46.250 (46.709) Prec@5 77.500 (77.241) Epoch: [38][7110/11272] Time 0.807 (0.794) Data 0.001 (0.002) Loss 2.2483 (2.0798) Prec@1 39.375 (46.710) Prec@5 73.125 (77.242) Epoch: [38][7120/11272] Time 0.821 (0.794) Data 0.002 (0.002) Loss 1.9244 (2.0798) Prec@1 47.500 (46.710) Prec@5 79.375 (77.242) Epoch: [38][7130/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 2.0946 (2.0799) Prec@1 45.625 (46.710) Prec@5 80.000 (77.238) Epoch: [38][7140/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.1720 (2.0800) Prec@1 42.500 (46.708) Prec@5 79.375 (77.238) Epoch: [38][7150/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.9902 (2.0800) Prec@1 45.000 (46.705) Prec@5 76.875 (77.237) Epoch: [38][7160/11272] Time 0.731 (0.794) Data 0.003 (0.002) Loss 2.2349 (2.0802) Prec@1 45.625 (46.704) Prec@5 71.875 (77.233) Epoch: [38][7170/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.2507 (2.0800) Prec@1 43.125 (46.707) Prec@5 72.500 (77.236) Epoch: [38][7180/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 1.8542 (2.0799) Prec@1 53.125 (46.711) Prec@5 80.625 (77.238) Epoch: [38][7190/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0399 (2.0799) Prec@1 48.750 (46.711) Prec@5 80.000 (77.237) Epoch: [38][7200/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.9644 (2.0799) Prec@1 46.250 (46.710) Prec@5 80.000 (77.237) Epoch: [38][7210/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.1562 (2.0800) Prec@1 48.750 (46.708) Prec@5 77.500 (77.235) Epoch: [38][7220/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.2253 (2.0801) Prec@1 46.250 (46.707) Prec@5 75.625 (77.233) Epoch: [38][7230/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 2.1041 (2.0802) Prec@1 50.000 (46.707) Prec@5 73.750 (77.231) Epoch: [38][7240/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 1.7887 (2.0801) Prec@1 55.000 (46.709) Prec@5 81.250 (77.232) Epoch: [38][7250/11272] Time 0.775 (0.794) Data 0.001 (0.002) Loss 2.1257 (2.0802) Prec@1 45.000 (46.707) Prec@5 75.000 (77.228) Epoch: [38][7260/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.1946 (2.0803) Prec@1 41.875 (46.706) Prec@5 81.250 (77.228) Epoch: [38][7270/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 2.1374 (2.0802) Prec@1 46.875 (46.704) Prec@5 73.750 (77.227) Epoch: [38][7280/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.9110 (2.0803) Prec@1 53.125 (46.702) Prec@5 80.625 (77.225) Epoch: [38][7290/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.9867 (2.0802) Prec@1 48.125 (46.703) Prec@5 80.625 (77.227) Epoch: [38][7300/11272] Time 0.819 (0.794) Data 0.002 (0.002) Loss 1.6752 (2.0803) Prec@1 53.750 (46.701) Prec@5 84.375 (77.227) Epoch: [38][7310/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 2.1173 (2.0803) Prec@1 46.250 (46.702) Prec@5 80.000 (77.227) Epoch: [38][7320/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.1358 (2.0804) Prec@1 46.875 (46.699) Prec@5 75.625 (77.227) Epoch: [38][7330/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 2.1210 (2.0805) Prec@1 43.750 (46.698) Prec@5 76.875 (77.225) Epoch: [38][7340/11272] Time 0.874 (0.794) Data 0.002 (0.002) Loss 2.2474 (2.0805) Prec@1 42.500 (46.697) Prec@5 74.375 (77.225) Epoch: [38][7350/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 2.0168 (2.0806) Prec@1 45.625 (46.697) Prec@5 75.625 (77.223) Epoch: [38][7360/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.8913 (2.0805) Prec@1 49.375 (46.697) Prec@5 81.250 (77.224) Epoch: [38][7370/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.1284 (2.0806) Prec@1 44.375 (46.696) Prec@5 74.375 (77.225) Epoch: [38][7380/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.1264 (2.0806) Prec@1 47.500 (46.695) Prec@5 78.125 (77.224) Epoch: [38][7390/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 1.9274 (2.0806) Prec@1 52.500 (46.697) Prec@5 79.375 (77.224) Epoch: [38][7400/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9188 (2.0808) Prec@1 53.125 (46.696) Prec@5 77.500 (77.222) Epoch: [38][7410/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.0089 (2.0807) Prec@1 48.125 (46.697) Prec@5 75.000 (77.224) Epoch: [38][7420/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 2.1995 (2.0808) Prec@1 41.250 (46.694) Prec@5 78.750 (77.222) Epoch: [38][7430/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 1.9523 (2.0808) Prec@1 45.625 (46.694) Prec@5 80.625 (77.221) Epoch: [38][7440/11272] Time 0.899 (0.794) Data 0.002 (0.002) Loss 2.3789 (2.0808) Prec@1 38.750 (46.694) Prec@5 73.125 (77.221) Epoch: [38][7450/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0343 (2.0808) Prec@1 51.250 (46.693) Prec@5 78.750 (77.222) Epoch: [38][7460/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2458 (2.0808) Prec@1 44.375 (46.691) Prec@5 72.500 (77.222) Epoch: [38][7470/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.2584 (2.0808) Prec@1 45.000 (46.691) Prec@5 71.250 (77.220) Epoch: [38][7480/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 1.9630 (2.0808) Prec@1 48.750 (46.692) Prec@5 76.250 (77.221) Epoch: [38][7490/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0969 (2.0808) Prec@1 45.000 (46.690) Prec@5 75.000 (77.220) Epoch: [38][7500/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.8711 (2.0807) Prec@1 53.125 (46.692) Prec@5 81.875 (77.221) Epoch: [38][7510/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1115 (2.0807) Prec@1 45.000 (46.693) Prec@5 77.500 (77.221) Epoch: [38][7520/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0851 (2.0807) Prec@1 44.375 (46.692) Prec@5 78.125 (77.223) Epoch: [38][7530/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.0515 (2.0807) Prec@1 50.625 (46.694) Prec@5 80.000 (77.223) Epoch: [38][7540/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1656 (2.0808) Prec@1 48.125 (46.692) Prec@5 75.000 (77.223) Epoch: [38][7550/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.8915 (2.0808) Prec@1 46.250 (46.691) Prec@5 81.250 (77.223) Epoch: [38][7560/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.3437 (2.0809) Prec@1 41.250 (46.690) Prec@5 70.625 (77.221) Epoch: [38][7570/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9853 (2.0809) Prec@1 53.750 (46.690) Prec@5 76.250 (77.220) Epoch: [38][7580/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9605 (2.0810) Prec@1 48.125 (46.689) Prec@5 78.125 (77.218) Epoch: [38][7590/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0809 (2.0810) Prec@1 47.500 (46.688) Prec@5 81.250 (77.216) Epoch: [38][7600/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0886 (2.0810) Prec@1 47.500 (46.688) Prec@5 77.500 (77.217) Epoch: [38][7610/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.1461 (2.0811) Prec@1 45.000 (46.687) Prec@5 76.250 (77.215) Epoch: [38][7620/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.1235 (2.0811) Prec@1 45.625 (46.687) Prec@5 76.875 (77.215) Epoch: [38][7630/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.1294 (2.0811) Prec@1 45.000 (46.687) Prec@5 76.875 (77.215) Epoch: [38][7640/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.0325 (2.0811) Prec@1 53.750 (46.687) Prec@5 79.375 (77.216) Epoch: [38][7650/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.1146 (2.0811) Prec@1 42.500 (46.683) Prec@5 75.000 (77.215) Epoch: [38][7660/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1026 (2.0811) Prec@1 45.625 (46.684) Prec@5 78.750 (77.215) Epoch: [38][7670/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.9825 (2.0811) Prec@1 48.750 (46.684) Prec@5 76.250 (77.216) Epoch: [38][7680/11272] Time 0.915 (0.794) Data 0.002 (0.002) Loss 2.3421 (2.0811) Prec@1 40.625 (46.684) Prec@5 68.750 (77.215) Epoch: [38][7690/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1239 (2.0812) Prec@1 48.125 (46.683) Prec@5 79.375 (77.213) Epoch: [38][7700/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.1326 (2.0812) Prec@1 49.375 (46.683) Prec@5 75.000 (77.211) Epoch: [38][7710/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.0374 (2.0812) Prec@1 48.750 (46.683) Prec@5 76.250 (77.212) Epoch: [38][7720/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.1189 (2.0811) Prec@1 42.500 (46.682) Prec@5 76.250 (77.212) Epoch: [38][7730/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1320 (2.0811) Prec@1 42.500 (46.682) Prec@5 75.625 (77.213) Epoch: [38][7740/11272] Time 0.871 (0.794) Data 0.001 (0.002) Loss 2.3666 (2.0811) Prec@1 39.375 (46.681) Prec@5 69.375 (77.210) Epoch: [38][7750/11272] Time 0.880 (0.794) Data 0.002 (0.002) Loss 2.1794 (2.0813) Prec@1 39.375 (46.676) Prec@5 76.250 (77.207) Epoch: [38][7760/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.0984 (2.0813) Prec@1 46.250 (46.674) Prec@5 78.125 (77.207) Epoch: [38][7770/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.8123 (2.0813) Prec@1 55.625 (46.673) Prec@5 85.000 (77.207) Epoch: [38][7780/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.1960 (2.0814) Prec@1 40.000 (46.673) Prec@5 79.375 (77.208) Epoch: [38][7790/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.1063 (2.0813) Prec@1 38.750 (46.674) Prec@5 76.250 (77.208) Epoch: [38][7800/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.1815 (2.0814) Prec@1 48.750 (46.674) Prec@5 77.500 (77.207) Epoch: [38][7810/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.9926 (2.0813) Prec@1 47.500 (46.673) Prec@5 75.000 (77.208) Epoch: [38][7820/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0138 (2.0812) Prec@1 46.875 (46.676) Prec@5 75.625 (77.210) Epoch: [38][7830/11272] Time 0.720 (0.794) Data 0.003 (0.002) Loss 2.1147 (2.0812) Prec@1 48.750 (46.675) Prec@5 77.500 (77.209) Epoch: [38][7840/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.3144 (2.0811) Prec@1 41.250 (46.675) Prec@5 73.125 (77.210) Epoch: [38][7850/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.1029 (2.0812) Prec@1 41.875 (46.673) Prec@5 78.750 (77.211) Epoch: [38][7860/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.0180 (2.0812) Prec@1 51.250 (46.671) Prec@5 78.125 (77.210) Epoch: [38][7870/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0993 (2.0813) Prec@1 38.750 (46.667) Prec@5 78.125 (77.209) Epoch: [38][7880/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 2.0873 (2.0813) Prec@1 39.375 (46.665) Prec@5 80.625 (77.209) Epoch: [38][7890/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.0290 (2.0814) Prec@1 46.875 (46.663) Prec@5 75.625 (77.206) Epoch: [38][7900/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 1.9640 (2.0813) Prec@1 47.500 (46.665) Prec@5 76.875 (77.207) Epoch: [38][7910/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0722 (2.0814) Prec@1 51.250 (46.665) Prec@5 77.500 (77.207) Epoch: [38][7920/11272] Time 0.745 (0.794) Data 0.003 (0.002) Loss 1.9270 (2.0814) Prec@1 50.625 (46.665) Prec@5 80.000 (77.206) Epoch: [38][7930/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9674 (2.0814) Prec@1 52.500 (46.666) Prec@5 77.500 (77.206) Epoch: [38][7940/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.8726 (2.0814) Prec@1 46.250 (46.664) Prec@5 81.875 (77.205) Epoch: [38][7950/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.8848 (2.0814) Prec@1 48.125 (46.664) Prec@5 79.375 (77.203) Epoch: [38][7960/11272] Time 0.877 (0.794) Data 0.001 (0.002) Loss 2.1556 (2.0815) Prec@1 45.000 (46.662) Prec@5 73.750 (77.200) Epoch: [38][7970/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.8795 (2.0816) Prec@1 45.000 (46.659) Prec@5 83.125 (77.198) Epoch: [38][7980/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.7888 (2.0815) Prec@1 53.750 (46.661) Prec@5 83.750 (77.198) Epoch: [38][7990/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1699 (2.0816) Prec@1 44.375 (46.659) Prec@5 75.000 (77.198) Epoch: [38][8000/11272] Time 0.823 (0.794) Data 0.002 (0.002) Loss 2.0904 (2.0815) Prec@1 43.750 (46.658) Prec@5 78.750 (77.200) Epoch: [38][8010/11272] Time 0.818 (0.794) Data 0.001 (0.002) Loss 2.0182 (2.0814) Prec@1 46.250 (46.660) Prec@5 78.750 (77.202) Epoch: [38][8020/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 1.9852 (2.0815) Prec@1 48.125 (46.657) Prec@5 78.125 (77.202) Epoch: [38][8030/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.1343 (2.0815) Prec@1 49.375 (46.659) Prec@5 75.000 (77.201) Epoch: [38][8040/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 2.0184 (2.0815) Prec@1 47.500 (46.661) Prec@5 78.750 (77.200) Epoch: [38][8050/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 2.0481 (2.0814) Prec@1 50.000 (46.662) Prec@5 78.125 (77.203) Epoch: [38][8060/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.8783 (2.0813) Prec@1 49.375 (46.665) Prec@5 82.500 (77.206) Epoch: [38][8070/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.9361 (2.0814) Prec@1 50.000 (46.663) Prec@5 75.000 (77.204) Epoch: [38][8080/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.1614 (2.0813) Prec@1 46.250 (46.664) Prec@5 76.250 (77.205) Epoch: [38][8090/11272] Time 0.729 (0.794) Data 0.003 (0.002) Loss 2.0616 (2.0814) Prec@1 46.875 (46.662) Prec@5 76.250 (77.205) Epoch: [38][8100/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1275 (2.0815) Prec@1 40.625 (46.659) Prec@5 77.500 (77.202) Epoch: [38][8110/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 2.0634 (2.0815) Prec@1 47.500 (46.658) Prec@5 78.750 (77.203) Epoch: [38][8120/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.0127 (2.0815) Prec@1 46.250 (46.657) Prec@5 80.000 (77.203) Epoch: [38][8130/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 1.9986 (2.0815) Prec@1 49.375 (46.657) Prec@5 75.625 (77.202) Epoch: [38][8140/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.1199 (2.0814) Prec@1 48.125 (46.659) Prec@5 75.625 (77.204) Epoch: [38][8150/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 1.8861 (2.0814) Prec@1 54.375 (46.661) Prec@5 83.125 (77.206) Epoch: [38][8160/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 2.1506 (2.0815) Prec@1 40.625 (46.660) Prec@5 77.500 (77.204) Epoch: [38][8170/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.8902 (2.0815) Prec@1 46.250 (46.658) Prec@5 80.625 (77.204) Epoch: [38][8180/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.1065 (2.0816) Prec@1 52.500 (46.658) Prec@5 77.500 (77.203) Epoch: [38][8190/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.1731 (2.0815) Prec@1 46.250 (46.658) Prec@5 73.750 (77.204) Epoch: [38][8200/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 1.8773 (2.0816) Prec@1 51.875 (46.658) Prec@5 79.375 (77.201) Epoch: [38][8210/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.9712 (2.0815) Prec@1 50.625 (46.660) Prec@5 80.625 (77.202) Epoch: [38][8220/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 2.1463 (2.0815) Prec@1 45.625 (46.659) Prec@5 73.125 (77.200) Epoch: [38][8230/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.3520 (2.0816) Prec@1 41.250 (46.655) Prec@5 69.375 (77.200) Epoch: [38][8240/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0787 (2.0815) Prec@1 41.250 (46.656) Prec@5 78.750 (77.201) Epoch: [38][8250/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.9738 (2.0816) Prec@1 50.625 (46.656) Prec@5 78.750 (77.200) Epoch: [38][8260/11272] Time 0.920 (0.794) Data 0.002 (0.002) Loss 2.1971 (2.0817) Prec@1 44.375 (46.654) Prec@5 75.625 (77.197) Epoch: [38][8270/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 1.9455 (2.0817) Prec@1 50.000 (46.652) Prec@5 79.375 (77.197) Epoch: [38][8280/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0097 (2.0817) Prec@1 44.375 (46.653) Prec@5 80.000 (77.197) Epoch: [38][8290/11272] Time 0.760 (0.794) Data 0.001 (0.002) Loss 2.1360 (2.0818) Prec@1 46.250 (46.652) Prec@5 80.000 (77.196) Epoch: [38][8300/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.0890 (2.0819) Prec@1 48.125 (46.650) Prec@5 76.250 (77.196) Epoch: [38][8310/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 1.9821 (2.0818) Prec@1 48.125 (46.650) Prec@5 80.625 (77.197) Epoch: [38][8320/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.3077 (2.0817) Prec@1 43.125 (46.652) Prec@5 70.000 (77.197) Epoch: [38][8330/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.8977 (2.0817) Prec@1 47.500 (46.651) Prec@5 81.250 (77.200) Epoch: [38][8340/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.0783 (2.0817) Prec@1 45.625 (46.651) Prec@5 75.625 (77.199) Epoch: [38][8350/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1209 (2.0818) Prec@1 45.000 (46.649) Prec@5 74.375 (77.198) Epoch: [38][8360/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.2383 (2.0818) Prec@1 43.750 (46.649) Prec@5 75.000 (77.198) Epoch: [38][8370/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.1288 (2.0818) Prec@1 46.875 (46.647) Prec@5 76.250 (77.196) Epoch: [38][8380/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 1.8662 (2.0818) Prec@1 51.250 (46.646) Prec@5 79.375 (77.196) Epoch: [38][8390/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.0691 (2.0818) Prec@1 42.500 (46.646) Prec@5 75.625 (77.196) Epoch: [38][8400/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 1.8689 (2.0818) Prec@1 51.250 (46.647) Prec@5 84.375 (77.196) Epoch: [38][8410/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.7777 (2.0817) Prec@1 56.250 (46.649) Prec@5 81.875 (77.197) Epoch: [38][8420/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9935 (2.0817) Prec@1 48.125 (46.649) Prec@5 76.875 (77.196) Epoch: [38][8430/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9981 (2.0817) Prec@1 53.125 (46.648) Prec@5 75.000 (77.196) Epoch: [38][8440/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.3398 (2.0817) Prec@1 44.375 (46.651) Prec@5 70.625 (77.196) Epoch: [38][8450/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.0612 (2.0816) Prec@1 50.625 (46.653) Prec@5 75.000 (77.198) Epoch: [38][8460/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.3452 (2.0816) Prec@1 41.875 (46.652) Prec@5 70.000 (77.198) Epoch: [38][8470/11272] Time 0.716 (0.794) Data 0.002 (0.002) Loss 2.0057 (2.0817) Prec@1 49.375 (46.653) Prec@5 78.750 (77.197) Epoch: [38][8480/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0693 (2.0816) Prec@1 48.750 (46.657) Prec@5 78.125 (77.198) Epoch: [38][8490/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.4619 (2.0817) Prec@1 39.375 (46.654) Prec@5 71.250 (77.195) Epoch: [38][8500/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.8960 (2.0816) Prec@1 51.875 (46.656) Prec@5 75.625 (77.195) Epoch: [38][8510/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.1005 (2.0817) Prec@1 45.625 (46.655) Prec@5 80.000 (77.195) Epoch: [38][8520/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.4536 (2.0817) Prec@1 41.250 (46.653) Prec@5 73.750 (77.195) Epoch: [38][8530/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9157 (2.0818) Prec@1 50.625 (46.652) Prec@5 78.125 (77.194) Epoch: [38][8540/11272] Time 0.767 (0.794) Data 0.002 (0.002) Loss 1.9718 (2.0818) Prec@1 47.500 (46.652) Prec@5 79.375 (77.194) Epoch: [38][8550/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 1.8683 (2.0817) Prec@1 50.000 (46.653) Prec@5 81.875 (77.196) Epoch: [38][8560/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0963 (2.0816) Prec@1 43.125 (46.654) Prec@5 76.250 (77.198) Epoch: [38][8570/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.0502 (2.0816) Prec@1 50.000 (46.653) Prec@5 82.500 (77.198) Epoch: [38][8580/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.1723 (2.0817) Prec@1 50.000 (46.653) Prec@5 76.250 (77.197) Epoch: [38][8590/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 2.0752 (2.0816) Prec@1 45.625 (46.655) Prec@5 80.625 (77.199) Epoch: [38][8600/11272] Time 0.823 (0.794) Data 0.002 (0.002) Loss 1.9762 (2.0816) Prec@1 48.125 (46.655) Prec@5 78.750 (77.200) Epoch: [38][8610/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.8973 (2.0816) Prec@1 46.875 (46.655) Prec@5 80.625 (77.201) Epoch: [38][8620/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0293 (2.0816) Prec@1 46.875 (46.654) Prec@5 79.375 (77.201) Epoch: [38][8630/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.0615 (2.0817) Prec@1 46.250 (46.653) Prec@5 77.500 (77.200) Epoch: [38][8640/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.9856 (2.0818) Prec@1 44.375 (46.650) Prec@5 83.750 (77.200) Epoch: [38][8650/11272] Time 0.716 (0.794) Data 0.002 (0.002) Loss 1.9741 (2.0818) Prec@1 50.625 (46.648) Prec@5 80.625 (77.201) Epoch: [38][8660/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9403 (2.0819) Prec@1 45.625 (46.649) Prec@5 79.375 (77.200) Epoch: [38][8670/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.8532 (2.0818) Prec@1 53.750 (46.649) Prec@5 83.125 (77.202) Epoch: [38][8680/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.6881 (2.0818) Prec@1 56.250 (46.651) Prec@5 82.500 (77.202) Epoch: [38][8690/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.9594 (2.0819) Prec@1 56.250 (46.650) Prec@5 81.250 (77.201) Epoch: [38][8700/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.1887 (2.0819) Prec@1 44.375 (46.650) Prec@5 76.250 (77.202) Epoch: [38][8710/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.1220 (2.0819) Prec@1 48.125 (46.649) Prec@5 77.500 (77.202) Epoch: [38][8720/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9554 (2.0819) Prec@1 53.125 (46.651) Prec@5 77.500 (77.202) Epoch: [38][8730/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1093 (2.0820) Prec@1 49.375 (46.650) Prec@5 77.500 (77.200) Epoch: [38][8740/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.9457 (2.0819) Prec@1 49.375 (46.651) Prec@5 78.750 (77.201) Epoch: [38][8750/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 2.1338 (2.0819) Prec@1 46.250 (46.652) Prec@5 78.125 (77.201) Epoch: [38][8760/11272] Time 0.743 (0.794) Data 0.004 (0.002) Loss 1.9242 (2.0819) Prec@1 48.125 (46.652) Prec@5 77.500 (77.201) Epoch: [38][8770/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1259 (2.0820) Prec@1 46.250 (46.651) Prec@5 73.125 (77.199) Epoch: [38][8780/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.1795 (2.0819) Prec@1 48.125 (46.653) Prec@5 75.625 (77.199) Epoch: [38][8790/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 2.0399 (2.0819) Prec@1 49.375 (46.655) Prec@5 78.125 (77.200) Epoch: [38][8800/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.0975 (2.0819) Prec@1 44.375 (46.656) Prec@5 72.500 (77.199) Epoch: [38][8810/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0466 (2.0819) Prec@1 43.125 (46.653) Prec@5 76.875 (77.199) Epoch: [38][8820/11272] Time 0.920 (0.794) Data 0.002 (0.002) Loss 2.2341 (2.0819) Prec@1 34.375 (46.651) Prec@5 76.875 (77.200) Epoch: [38][8830/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 1.9735 (2.0819) Prec@1 49.375 (46.652) Prec@5 79.375 (77.200) Epoch: [38][8840/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.3639 (2.0819) Prec@1 38.125 (46.652) Prec@5 73.750 (77.200) Epoch: [38][8850/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.0736 (2.0819) Prec@1 45.000 (46.653) Prec@5 80.625 (77.200) Epoch: [38][8860/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 1.9394 (2.0819) Prec@1 53.750 (46.654) Prec@5 76.250 (77.201) Epoch: [38][8870/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.1250 (2.0819) Prec@1 51.875 (46.654) Prec@5 76.875 (77.201) Epoch: [38][8880/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.2862 (2.0820) Prec@1 43.750 (46.653) Prec@5 71.250 (77.199) Epoch: [38][8890/11272] Time 0.899 (0.794) Data 0.001 (0.002) Loss 1.7893 (2.0820) Prec@1 57.500 (46.652) Prec@5 81.875 (77.197) Epoch: [38][8900/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.8019 (2.0820) Prec@1 51.875 (46.654) Prec@5 80.000 (77.198) Epoch: [38][8910/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.3197 (2.0820) Prec@1 43.750 (46.655) Prec@5 73.750 (77.198) Epoch: [38][8920/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.9342 (2.0820) Prec@1 56.250 (46.656) Prec@5 78.750 (77.198) Epoch: [38][8930/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 1.9080 (2.0820) Prec@1 51.250 (46.656) Prec@5 77.500 (77.198) Epoch: [38][8940/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.0431 (2.0819) Prec@1 46.250 (46.658) Prec@5 78.750 (77.200) Epoch: [38][8950/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.2765 (2.0819) Prec@1 45.625 (46.657) Prec@5 73.750 (77.198) Epoch: [38][8960/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.8363 (2.0819) Prec@1 53.125 (46.657) Prec@5 78.750 (77.198) Epoch: [38][8970/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.2446 (2.0820) Prec@1 45.625 (46.655) Prec@5 76.875 (77.196) Epoch: [38][8980/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.1471 (2.0820) Prec@1 43.125 (46.655) Prec@5 76.875 (77.196) Epoch: [38][8990/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 1.7870 (2.0820) Prec@1 55.625 (46.655) Prec@5 81.875 (77.196) Epoch: [38][9000/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0668 (2.0821) Prec@1 46.875 (46.653) Prec@5 76.875 (77.196) Epoch: [38][9010/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.0233 (2.0821) Prec@1 50.625 (46.653) Prec@5 75.000 (77.196) Epoch: [38][9020/11272] Time 0.753 (0.794) Data 0.003 (0.002) Loss 2.1664 (2.0820) Prec@1 44.375 (46.653) Prec@5 78.125 (77.196) Epoch: [38][9030/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.1366 (2.0820) Prec@1 49.375 (46.654) Prec@5 74.375 (77.198) Epoch: [38][9040/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 1.9629 (2.0820) Prec@1 55.000 (46.653) Prec@5 81.875 (77.197) Epoch: [38][9050/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.8907 (2.0820) Prec@1 50.625 (46.655) Prec@5 81.250 (77.198) Epoch: [38][9060/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.0960 (2.0820) Prec@1 47.500 (46.653) Prec@5 75.625 (77.197) Epoch: [38][9070/11272] Time 0.786 (0.794) Data 0.002 (0.002) Loss 2.1922 (2.0821) Prec@1 42.500 (46.653) Prec@5 71.875 (77.194) Epoch: [38][9080/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.0161 (2.0822) Prec@1 45.625 (46.649) Prec@5 76.250 (77.193) Epoch: [38][9090/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.9169 (2.0822) Prec@1 48.125 (46.647) Prec@5 75.625 (77.193) Epoch: [38][9100/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0543 (2.0822) Prec@1 48.750 (46.644) Prec@5 80.000 (77.193) Epoch: [38][9110/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.0349 (2.0822) Prec@1 49.375 (46.644) Prec@5 78.750 (77.194) Epoch: [38][9120/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.9651 (2.0823) Prec@1 48.125 (46.642) Prec@5 80.000 (77.192) Epoch: [38][9130/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.1135 (2.0823) Prec@1 46.875 (46.641) Prec@5 76.250 (77.190) Epoch: [38][9140/11272] Time 0.724 (0.794) Data 0.002 (0.002) Loss 2.2147 (2.0824) Prec@1 48.750 (46.642) Prec@5 74.375 (77.187) Epoch: [38][9150/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.2174 (2.0824) Prec@1 45.000 (46.642) Prec@5 73.125 (77.186) Epoch: [38][9160/11272] Time 0.914 (0.794) Data 0.002 (0.002) Loss 2.3009 (2.0825) Prec@1 39.375 (46.641) Prec@5 75.000 (77.186) Epoch: [38][9170/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.2167 (2.0825) Prec@1 41.250 (46.640) Prec@5 77.500 (77.187) Epoch: [38][9180/11272] Time 0.771 (0.794) Data 0.001 (0.002) Loss 1.8153 (2.0825) Prec@1 51.250 (46.639) Prec@5 81.875 (77.187) Epoch: [38][9190/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.4359 (2.0825) Prec@1 41.875 (46.639) Prec@5 69.375 (77.187) Epoch: [38][9200/11272] Time 0.819 (0.794) Data 0.002 (0.002) Loss 2.1358 (2.0825) Prec@1 41.250 (46.636) Prec@5 76.875 (77.187) Epoch: [38][9210/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1485 (2.0826) Prec@1 44.375 (46.636) Prec@5 80.625 (77.186) Epoch: [38][9220/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.8487 (2.0825) Prec@1 53.750 (46.637) Prec@5 77.500 (77.185) Epoch: [38][9230/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.0745 (2.0825) Prec@1 46.250 (46.637) Prec@5 76.250 (77.185) Epoch: [38][9240/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1073 (2.0825) Prec@1 48.750 (46.638) Prec@5 74.375 (77.186) Epoch: [38][9250/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.8976 (2.0825) Prec@1 55.000 (46.640) Prec@5 77.500 (77.185) Epoch: [38][9260/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.0522 (2.0825) Prec@1 43.750 (46.637) Prec@5 76.875 (77.184) Epoch: [38][9270/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 2.3546 (2.0826) Prec@1 45.625 (46.637) Prec@5 69.375 (77.182) Epoch: [38][9280/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1275 (2.0826) Prec@1 51.875 (46.636) Prec@5 75.625 (77.181) Epoch: [38][9290/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.1334 (2.0827) Prec@1 41.250 (46.634) Prec@5 79.375 (77.180) Epoch: [38][9300/11272] Time 0.880 (0.794) Data 0.001 (0.002) Loss 1.9468 (2.0827) Prec@1 46.875 (46.636) Prec@5 81.875 (77.181) Epoch: [38][9310/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.0388 (2.0827) Prec@1 48.125 (46.635) Prec@5 78.750 (77.181) Epoch: [38][9320/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.1806 (2.0828) Prec@1 50.625 (46.632) Prec@5 79.375 (77.180) Epoch: [38][9330/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0639 (2.0827) Prec@1 48.125 (46.633) Prec@5 78.750 (77.182) Epoch: [38][9340/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.2212 (2.0828) Prec@1 43.750 (46.632) Prec@5 73.125 (77.179) Epoch: [38][9350/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 1.9497 (2.0828) Prec@1 48.125 (46.632) Prec@5 82.500 (77.179) Epoch: [38][9360/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.3991 (2.0828) Prec@1 41.875 (46.631) Prec@5 73.750 (77.179) Epoch: [38][9370/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 2.1597 (2.0828) Prec@1 45.625 (46.632) Prec@5 71.875 (77.179) Epoch: [38][9380/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.0186 (2.0828) Prec@1 44.375 (46.630) Prec@5 81.250 (77.179) Epoch: [38][9390/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 2.0622 (2.0829) Prec@1 47.500 (46.629) Prec@5 79.375 (77.178) Epoch: [38][9400/11272] Time 0.756 (0.794) Data 0.002 (0.002) Loss 2.2138 (2.0829) Prec@1 42.500 (46.629) Prec@5 75.625 (77.177) Epoch: [38][9410/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 2.2898 (2.0829) Prec@1 43.125 (46.631) Prec@5 70.625 (77.178) Epoch: [38][9420/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1294 (2.0830) Prec@1 46.250 (46.631) Prec@5 80.000 (77.176) Epoch: [38][9430/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 1.9064 (2.0829) Prec@1 48.750 (46.630) Prec@5 79.375 (77.176) Epoch: [38][9440/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.9931 (2.0830) Prec@1 49.375 (46.631) Prec@5 81.250 (77.175) Epoch: [38][9450/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9509 (2.0830) Prec@1 48.125 (46.631) Prec@5 82.500 (77.176) Epoch: [38][9460/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.0344 (2.0830) Prec@1 50.625 (46.632) Prec@5 75.000 (77.175) Epoch: [38][9470/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 2.1163 (2.0830) Prec@1 44.375 (46.630) Prec@5 78.750 (77.174) Epoch: [38][9480/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.9981 (2.0831) Prec@1 50.625 (46.626) Prec@5 78.750 (77.174) Epoch: [38][9490/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.1692 (2.0830) Prec@1 41.250 (46.628) Prec@5 76.250 (77.176) Epoch: [38][9500/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.8310 (2.0830) Prec@1 48.750 (46.629) Prec@5 83.750 (77.178) Epoch: [38][9510/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.1258 (2.0830) Prec@1 48.125 (46.630) Prec@5 74.375 (77.178) Epoch: [38][9520/11272] Time 0.790 (0.794) Data 0.002 (0.002) Loss 1.9696 (2.0830) Prec@1 47.500 (46.630) Prec@5 77.500 (77.178) Epoch: [38][9530/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.1211 (2.0831) Prec@1 46.250 (46.628) Prec@5 76.250 (77.175) Epoch: [38][9540/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9776 (2.0831) Prec@1 40.000 (46.627) Prec@5 82.500 (77.176) Epoch: [38][9550/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9437 (2.0830) Prec@1 46.875 (46.629) Prec@5 82.500 (77.178) Epoch: [38][9560/11272] Time 0.867 (0.794) Data 0.001 (0.002) Loss 2.2708 (2.0830) Prec@1 45.000 (46.626) Prec@5 75.625 (77.177) Epoch: [38][9570/11272] Time 0.805 (0.794) Data 0.001 (0.002) Loss 2.1330 (2.0830) Prec@1 46.250 (46.627) Prec@5 77.500 (77.177) Epoch: [38][9580/11272] Time 0.768 (0.794) Data 0.001 (0.002) Loss 2.2546 (2.0831) Prec@1 42.500 (46.626) Prec@5 74.375 (77.178) Epoch: [38][9590/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1059 (2.0830) Prec@1 47.500 (46.628) Prec@5 76.875 (77.178) Epoch: [38][9600/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 1.9124 (2.0831) Prec@1 48.125 (46.626) Prec@5 81.250 (77.178) Epoch: [38][9610/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.1455 (2.0831) Prec@1 43.750 (46.627) Prec@5 75.625 (77.178) Epoch: [38][9620/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.2288 (2.0831) Prec@1 43.125 (46.625) Prec@5 75.625 (77.177) Epoch: [38][9630/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.1283 (2.0832) Prec@1 45.000 (46.625) Prec@5 77.500 (77.177) Epoch: [38][9640/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.2937 (2.0832) Prec@1 40.000 (46.623) Prec@5 74.375 (77.177) Epoch: [38][9650/11272] Time 0.898 (0.794) Data 0.002 (0.002) Loss 2.0785 (2.0832) Prec@1 50.000 (46.623) Prec@5 78.125 (77.177) Epoch: [38][9660/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.0348 (2.0833) Prec@1 45.625 (46.623) Prec@5 81.250 (77.176) Epoch: [38][9670/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.0975 (2.0834) Prec@1 41.250 (46.621) Prec@5 75.625 (77.174) Epoch: [38][9680/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0854 (2.0834) Prec@1 43.750 (46.620) Prec@5 73.750 (77.174) Epoch: [38][9690/11272] Time 0.727 (0.794) Data 0.003 (0.002) Loss 2.2540 (2.0834) Prec@1 46.875 (46.620) Prec@5 72.500 (77.173) Epoch: [38][9700/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9343 (2.0833) Prec@1 50.000 (46.623) Prec@5 79.375 (77.175) Epoch: [38][9710/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.2243 (2.0833) Prec@1 45.000 (46.623) Prec@5 75.000 (77.175) Epoch: [38][9720/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.1965 (2.0834) Prec@1 45.000 (46.621) Prec@5 76.250 (77.174) Epoch: [38][9730/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.3673 (2.0834) Prec@1 45.625 (46.621) Prec@5 73.125 (77.174) Epoch: [38][9740/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.9997 (2.0834) Prec@1 50.625 (46.621) Prec@5 80.625 (77.173) Epoch: [38][9750/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.0309 (2.0834) Prec@1 40.000 (46.621) Prec@5 77.500 (77.172) Epoch: [38][9760/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 2.1081 (2.0835) Prec@1 44.375 (46.620) Prec@5 77.500 (77.173) Epoch: [38][9770/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.1723 (2.0834) Prec@1 45.000 (46.621) Prec@5 76.875 (77.172) Epoch: [38][9780/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 2.0567 (2.0834) Prec@1 43.125 (46.622) Prec@5 77.500 (77.172) Epoch: [38][9790/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0236 (2.0834) Prec@1 46.250 (46.622) Prec@5 78.125 (77.172) Epoch: [38][9800/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 1.8492 (2.0835) Prec@1 53.125 (46.620) Prec@5 78.125 (77.171) Epoch: [38][9810/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0170 (2.0834) Prec@1 48.125 (46.622) Prec@5 81.250 (77.173) Epoch: [38][9820/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.1357 (2.0834) Prec@1 45.000 (46.622) Prec@5 76.250 (77.173) Epoch: [38][9830/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.7438 (2.0833) Prec@1 54.375 (46.626) Prec@5 82.500 (77.175) Epoch: [38][9840/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.0209 (2.0833) Prec@1 45.625 (46.626) Prec@5 80.000 (77.176) Epoch: [38][9850/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1358 (2.0833) Prec@1 46.250 (46.625) Prec@5 76.250 (77.176) Epoch: [38][9860/11272] Time 0.809 (0.794) Data 0.001 (0.002) Loss 2.1512 (2.0834) Prec@1 40.000 (46.625) Prec@5 78.750 (77.176) Epoch: [38][9870/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.0806 (2.0834) Prec@1 45.000 (46.625) Prec@5 75.625 (77.175) Epoch: [38][9880/11272] Time 0.776 (0.794) Data 0.002 (0.002) Loss 2.0787 (2.0834) Prec@1 45.000 (46.625) Prec@5 76.250 (77.175) Epoch: [38][9890/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1362 (2.0834) Prec@1 47.500 (46.626) Prec@5 75.625 (77.175) Epoch: [38][9900/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.1990 (2.0834) Prec@1 48.125 (46.626) Prec@5 76.875 (77.176) Epoch: [38][9910/11272] Time 0.812 (0.794) Data 0.001 (0.002) Loss 2.2063 (2.0835) Prec@1 44.375 (46.625) Prec@5 76.250 (77.174) Epoch: [38][9920/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.2587 (2.0835) Prec@1 42.500 (46.625) Prec@5 76.250 (77.174) Epoch: [38][9930/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0298 (2.0835) Prec@1 46.250 (46.622) Prec@5 79.375 (77.175) Epoch: [38][9940/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9609 (2.0836) Prec@1 52.500 (46.621) Prec@5 78.750 (77.173) Epoch: [38][9950/11272] Time 0.728 (0.794) Data 0.003 (0.002) Loss 1.9376 (2.0836) Prec@1 51.875 (46.620) Prec@5 83.125 (77.175) Epoch: [38][9960/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.1812 (2.0836) Prec@1 40.000 (46.617) Prec@5 78.125 (77.175) Epoch: [38][9970/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.2109 (2.0836) Prec@1 48.125 (46.618) Prec@5 75.625 (77.176) Epoch: [38][9980/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.8949 (2.0835) Prec@1 45.000 (46.619) Prec@5 81.250 (77.177) Epoch: [38][9990/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9400 (2.0835) Prec@1 52.500 (46.620) Prec@5 78.125 (77.178) Epoch: [38][10000/11272] Time 0.800 (0.794) Data 0.003 (0.002) Loss 2.5152 (2.0835) Prec@1 40.000 (46.620) Prec@5 70.625 (77.177) Epoch: [38][10010/11272] Time 0.810 (0.794) Data 0.001 (0.002) Loss 2.1825 (2.0835) Prec@1 44.375 (46.620) Prec@5 77.500 (77.177) Epoch: [38][10020/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.1216 (2.0836) Prec@1 46.875 (46.620) Prec@5 75.000 (77.175) Epoch: [38][10030/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.2627 (2.0836) Prec@1 43.750 (46.618) Prec@5 73.125 (77.173) Epoch: [38][10040/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0670 (2.0837) Prec@1 47.500 (46.619) Prec@5 79.375 (77.174) Epoch: [38][10050/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.2109 (2.0837) Prec@1 42.500 (46.618) Prec@5 76.875 (77.174) Epoch: [38][10060/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0292 (2.0838) Prec@1 45.625 (46.616) Prec@5 78.125 (77.171) Epoch: [38][10070/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 1.9306 (2.0838) Prec@1 54.375 (46.615) Prec@5 78.750 (77.171) Epoch: [38][10080/11272] Time 0.860 (0.794) Data 0.001 (0.002) Loss 2.0989 (2.0838) Prec@1 48.125 (46.616) Prec@5 76.875 (77.169) Epoch: [38][10090/11272] Time 0.884 (0.794) Data 0.002 (0.002) Loss 2.1193 (2.0839) Prec@1 48.125 (46.616) Prec@5 76.875 (77.168) Epoch: [38][10100/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.9932 (2.0838) Prec@1 50.625 (46.617) Prec@5 76.875 (77.169) Epoch: [38][10110/11272] Time 0.766 (0.794) Data 0.002 (0.002) Loss 1.9643 (2.0838) Prec@1 46.250 (46.617) Prec@5 81.875 (77.169) Epoch: [38][10120/11272] Time 0.868 (0.794) Data 0.001 (0.002) Loss 2.3017 (2.0839) Prec@1 39.375 (46.614) Prec@5 70.000 (77.167) Epoch: [38][10130/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.1832 (2.0839) Prec@1 41.250 (46.613) Prec@5 75.625 (77.168) Epoch: [38][10140/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9281 (2.0839) Prec@1 51.250 (46.612) Prec@5 77.500 (77.168) Epoch: [38][10150/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.1650 (2.0839) Prec@1 44.375 (46.612) Prec@5 73.750 (77.168) Epoch: [38][10160/11272] Time 0.867 (0.794) Data 0.001 (0.002) Loss 1.8789 (2.0839) Prec@1 48.750 (46.612) Prec@5 79.375 (77.169) Epoch: [38][10170/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.9311 (2.0838) Prec@1 46.875 (46.613) Prec@5 81.250 (77.170) Epoch: [38][10180/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.3079 (2.0838) Prec@1 39.375 (46.613) Prec@5 76.875 (77.169) Epoch: [38][10190/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.9169 (2.0838) Prec@1 46.250 (46.613) Prec@5 81.250 (77.169) Epoch: [38][10200/11272] Time 0.806 (0.794) Data 0.001 (0.002) Loss 1.7527 (2.0839) Prec@1 55.000 (46.612) Prec@5 83.750 (77.168) Epoch: [38][10210/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1177 (2.0839) Prec@1 42.500 (46.610) Prec@5 75.625 (77.167) Epoch: [38][10220/11272] Time 0.702 (0.794) Data 0.001 (0.002) Loss 2.0589 (2.0840) Prec@1 46.250 (46.609) Prec@5 73.750 (77.165) Epoch: [38][10230/11272] Time 0.862 (0.794) Data 0.001 (0.002) Loss 2.0437 (2.0840) Prec@1 46.875 (46.609) Prec@5 75.000 (77.164) Epoch: [38][10240/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 1.9461 (2.0839) Prec@1 50.000 (46.610) Prec@5 81.875 (77.166) Epoch: [38][10250/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.3907 (2.0839) Prec@1 41.250 (46.610) Prec@5 71.875 (77.165) Epoch: [38][10260/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.1354 (2.0839) Prec@1 45.000 (46.609) Prec@5 72.500 (77.164) Epoch: [38][10270/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.9777 (2.0838) Prec@1 46.250 (46.612) Prec@5 83.125 (77.166) Epoch: [38][10280/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.1310 (2.0837) Prec@1 44.375 (46.614) Prec@5 75.625 (77.166) Epoch: [38][10290/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 2.0632 (2.0837) Prec@1 50.000 (46.615) Prec@5 78.750 (77.167) Epoch: [38][10300/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.1409 (2.0837) Prec@1 45.000 (46.616) Prec@5 76.250 (77.167) Epoch: [38][10310/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.1169 (2.0837) Prec@1 44.375 (46.616) Prec@5 79.375 (77.167) Epoch: [38][10320/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.0612 (2.0838) Prec@1 45.625 (46.614) Prec@5 80.000 (77.167) Epoch: [38][10330/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.3335 (2.0838) Prec@1 41.250 (46.614) Prec@5 70.000 (77.167) Epoch: [38][10340/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.2350 (2.0838) Prec@1 42.500 (46.611) Prec@5 73.125 (77.166) Epoch: [38][10350/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.1433 (2.0839) Prec@1 43.750 (46.609) Prec@5 73.125 (77.164) Epoch: [38][10360/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.3549 (2.0840) Prec@1 41.250 (46.608) Prec@5 70.625 (77.163) Epoch: [38][10370/11272] Time 0.760 (0.794) Data 0.002 (0.002) Loss 2.1593 (2.0840) Prec@1 48.125 (46.608) Prec@5 77.500 (77.163) Epoch: [38][10380/11272] Time 0.822 (0.794) Data 0.002 (0.002) Loss 1.9799 (2.0841) Prec@1 48.125 (46.605) Prec@5 81.250 (77.162) Epoch: [38][10390/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.1105 (2.0841) Prec@1 45.000 (46.605) Prec@5 78.750 (77.163) Epoch: [38][10400/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.2112 (2.0842) Prec@1 43.125 (46.604) Prec@5 71.875 (77.161) Epoch: [38][10410/11272] Time 0.760 (0.794) Data 0.001 (0.002) Loss 2.0080 (2.0841) Prec@1 51.875 (46.605) Prec@5 75.625 (77.162) Epoch: [38][10420/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.8653 (2.0841) Prec@1 50.000 (46.605) Prec@5 80.625 (77.163) Epoch: [38][10430/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 1.9149 (2.0841) Prec@1 48.125 (46.605) Prec@5 80.000 (77.162) Epoch: [38][10440/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0302 (2.0842) Prec@1 40.625 (46.603) Prec@5 76.250 (77.161) Epoch: [38][10450/11272] Time 0.750 (0.793) Data 0.002 (0.002) Loss 2.1887 (2.0842) Prec@1 43.750 (46.603) Prec@5 78.750 (77.161) Epoch: [38][10460/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0481 (2.0842) Prec@1 49.375 (46.603) Prec@5 79.375 (77.161) Epoch: [38][10470/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 1.8100 (2.0842) Prec@1 53.125 (46.604) Prec@5 80.625 (77.161) Epoch: [38][10480/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.2969 (2.0842) Prec@1 47.500 (46.604) Prec@5 75.000 (77.162) Epoch: [38][10490/11272] Time 0.806 (0.794) Data 0.001 (0.002) Loss 2.1665 (2.0843) Prec@1 44.375 (46.602) Prec@5 77.500 (77.161) Epoch: [38][10500/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.1731 (2.0843) Prec@1 48.125 (46.602) Prec@5 75.625 (77.161) Epoch: [38][10510/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.1456 (2.0843) Prec@1 50.625 (46.603) Prec@5 78.125 (77.163) Epoch: [38][10520/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.9503 (2.0843) Prec@1 48.125 (46.601) Prec@5 83.750 (77.162) Epoch: [38][10530/11272] Time 0.938 (0.794) Data 0.001 (0.002) Loss 2.0727 (2.0842) Prec@1 49.375 (46.601) Prec@5 78.125 (77.163) Epoch: [38][10540/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.3105 (2.0842) Prec@1 46.875 (46.602) Prec@5 73.750 (77.165) Epoch: [38][10550/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9554 (2.0842) Prec@1 47.500 (46.601) Prec@5 80.625 (77.165) Epoch: [38][10560/11272] Time 0.753 (0.793) Data 0.001 (0.002) Loss 2.1698 (2.0842) Prec@1 44.375 (46.602) Prec@5 72.500 (77.165) Epoch: [38][10570/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 1.9260 (2.0842) Prec@1 50.625 (46.602) Prec@5 83.125 (77.165) Epoch: [38][10580/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.1166 (2.0842) Prec@1 41.250 (46.600) Prec@5 78.125 (77.165) Epoch: [38][10590/11272] Time 0.787 (0.794) Data 0.001 (0.002) Loss 2.2094 (2.0842) Prec@1 46.250 (46.601) Prec@5 79.375 (77.165) Epoch: [38][10600/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.8955 (2.0842) Prec@1 51.875 (46.601) Prec@5 80.625 (77.166) Epoch: [38][10610/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.0426 (2.0842) Prec@1 43.750 (46.600) Prec@5 77.500 (77.165) Epoch: [38][10620/11272] Time 0.730 (0.793) Data 0.003 (0.002) Loss 2.0374 (2.0842) Prec@1 47.500 (46.600) Prec@5 76.250 (77.165) Epoch: [38][10630/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 2.4797 (2.0843) Prec@1 37.500 (46.598) Prec@5 66.250 (77.163) Epoch: [38][10640/11272] Time 0.882 (0.794) Data 0.002 (0.002) Loss 2.1219 (2.0844) Prec@1 45.625 (46.597) Prec@5 75.000 (77.163) Epoch: [38][10650/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.0225 (2.0843) Prec@1 44.375 (46.596) Prec@5 76.250 (77.163) Epoch: [38][10660/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1129 (2.0844) Prec@1 50.000 (46.597) Prec@5 76.250 (77.162) Epoch: [38][10670/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 2.2471 (2.0844) Prec@1 48.750 (46.598) Prec@5 70.625 (77.161) Epoch: [38][10680/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 1.7926 (2.0844) Prec@1 54.375 (46.598) Prec@5 83.125 (77.162) Epoch: [38][10690/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.9125 (2.0844) Prec@1 53.125 (46.597) Prec@5 80.000 (77.162) Epoch: [38][10700/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.9405 (2.0843) Prec@1 51.250 (46.599) Prec@5 80.000 (77.162) Epoch: [38][10710/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.9069 (2.0843) Prec@1 52.500 (46.600) Prec@5 81.250 (77.163) Epoch: [38][10720/11272] Time 0.822 (0.793) Data 0.002 (0.002) Loss 1.8780 (2.0843) Prec@1 57.500 (46.602) Prec@5 78.750 (77.163) Epoch: [38][10730/11272] Time 0.880 (0.793) Data 0.002 (0.002) Loss 2.2655 (2.0844) Prec@1 38.750 (46.601) Prec@5 70.000 (77.162) Epoch: [38][10740/11272] Time 0.764 (0.793) Data 0.001 (0.002) Loss 2.0749 (2.0844) Prec@1 48.750 (46.601) Prec@5 72.500 (77.161) Epoch: [38][10750/11272] Time 0.890 (0.794) Data 0.002 (0.002) Loss 2.2955 (2.0844) Prec@1 44.375 (46.602) Prec@5 71.875 (77.161) Epoch: [38][10760/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.2716 (2.0844) Prec@1 44.375 (46.600) Prec@5 71.250 (77.160) Epoch: [38][10770/11272] Time 0.752 (0.794) Data 0.001 (0.002) Loss 2.0986 (2.0844) Prec@1 46.250 (46.602) Prec@5 77.500 (77.162) Epoch: [38][10780/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.9975 (2.0844) Prec@1 48.750 (46.602) Prec@5 78.125 (77.161) Epoch: [38][10790/11272] Time 0.875 (0.794) Data 0.001 (0.002) Loss 1.9506 (2.0844) Prec@1 51.875 (46.603) Prec@5 76.875 (77.162) Epoch: [38][10800/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9641 (2.0844) Prec@1 46.875 (46.604) Prec@5 78.125 (77.162) Epoch: [38][10810/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 2.0710 (2.0844) Prec@1 48.125 (46.603) Prec@5 73.750 (77.161) Epoch: [38][10820/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.8586 (2.0844) Prec@1 48.750 (46.603) Prec@5 78.125 (77.160) Epoch: [38][10830/11272] Time 0.873 (0.793) Data 0.002 (0.002) Loss 2.1026 (2.0845) Prec@1 48.125 (46.601) Prec@5 76.250 (77.159) Epoch: [38][10840/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 2.2184 (2.0845) Prec@1 42.500 (46.600) Prec@5 71.250 (77.157) Epoch: [38][10850/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 2.2320 (2.0844) Prec@1 42.500 (46.601) Prec@5 72.500 (77.159) Epoch: [38][10860/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.9026 (2.0845) Prec@1 48.125 (46.600) Prec@5 80.625 (77.157) Epoch: [38][10870/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 1.9755 (2.0845) Prec@1 43.750 (46.599) Prec@5 82.500 (77.156) Epoch: [38][10880/11272] Time 0.733 (0.793) Data 0.003 (0.002) Loss 2.1472 (2.0845) Prec@1 48.750 (46.599) Prec@5 76.875 (77.156) Epoch: [38][10890/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 2.1824 (2.0845) Prec@1 45.625 (46.599) Prec@5 75.000 (77.155) Epoch: [38][10900/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 2.2597 (2.0846) Prec@1 43.750 (46.597) Prec@5 75.000 (77.153) Epoch: [38][10910/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 1.9369 (2.0846) Prec@1 50.625 (46.598) Prec@5 78.125 (77.153) Epoch: [38][10920/11272] Time 0.756 (0.793) Data 0.002 (0.002) Loss 2.3567 (2.0847) Prec@1 40.000 (46.597) Prec@5 73.125 (77.152) Epoch: [38][10930/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 2.1885 (2.0847) Prec@1 46.250 (46.597) Prec@5 73.125 (77.152) Epoch: [38][10940/11272] Time 0.899 (0.793) Data 0.001 (0.002) Loss 2.1239 (2.0847) Prec@1 46.875 (46.597) Prec@5 75.625 (77.152) Epoch: [38][10950/11272] Time 0.822 (0.793) Data 0.002 (0.002) Loss 1.9107 (2.0847) Prec@1 47.500 (46.596) Prec@5 82.500 (77.151) Epoch: [38][10960/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 2.3500 (2.0848) Prec@1 41.250 (46.594) Prec@5 72.500 (77.150) Epoch: [38][10970/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.0370 (2.0848) Prec@1 49.375 (46.593) Prec@5 78.750 (77.149) Epoch: [38][10980/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 2.1933 (2.0848) Prec@1 43.750 (46.593) Prec@5 78.125 (77.149) Epoch: [38][10990/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.1928 (2.0848) Prec@1 40.000 (46.594) Prec@5 73.750 (77.150) Epoch: [38][11000/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 2.0213 (2.0848) Prec@1 45.625 (46.593) Prec@5 79.375 (77.149) Epoch: [38][11010/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.9780 (2.0848) Prec@1 50.000 (46.595) Prec@5 75.625 (77.148) Epoch: [38][11020/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 2.3876 (2.0849) Prec@1 38.125 (46.594) Prec@5 70.625 (77.148) Epoch: [38][11030/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 2.0691 (2.0849) Prec@1 46.875 (46.593) Prec@5 81.250 (77.148) Epoch: [38][11040/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.0578 (2.0848) Prec@1 45.000 (46.595) Prec@5 78.125 (77.149) Epoch: [38][11050/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.1096 (2.0848) Prec@1 51.875 (46.595) Prec@5 75.000 (77.147) Epoch: [38][11060/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.0536 (2.0849) Prec@1 46.250 (46.595) Prec@5 76.875 (77.146) Epoch: [38][11070/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.2795 (2.0849) Prec@1 43.750 (46.596) Prec@5 71.875 (77.146) Epoch: [38][11080/11272] Time 0.773 (0.794) Data 0.002 (0.002) Loss 1.9361 (2.0849) Prec@1 51.250 (46.594) Prec@5 77.500 (77.146) Epoch: [38][11090/11272] Time 0.907 (0.794) Data 0.002 (0.002) Loss 2.0112 (2.0849) Prec@1 49.375 (46.595) Prec@5 75.000 (77.145) Epoch: [38][11100/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 1.9456 (2.0849) Prec@1 51.875 (46.595) Prec@5 76.250 (77.145) Epoch: [38][11110/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 1.9697 (2.0849) Prec@1 51.875 (46.595) Prec@5 76.875 (77.146) Epoch: [38][11120/11272] Time 0.774 (0.794) Data 0.001 (0.002) Loss 2.0534 (2.0849) Prec@1 51.875 (46.596) Prec@5 75.000 (77.146) Epoch: [38][11130/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0680 (2.0849) Prec@1 43.750 (46.596) Prec@5 73.750 (77.146) Epoch: [38][11140/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.1655 (2.0849) Prec@1 46.250 (46.597) Prec@5 72.500 (77.144) Epoch: [38][11150/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.1757 (2.0850) Prec@1 45.625 (46.595) Prec@5 75.625 (77.142) Epoch: [38][11160/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 2.0876 (2.0850) Prec@1 44.375 (46.595) Prec@5 79.375 (77.142) Epoch: [38][11170/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 2.3425 (2.0849) Prec@1 39.375 (46.598) Prec@5 71.875 (77.143) Epoch: [38][11180/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1698 (2.0849) Prec@1 46.250 (46.599) Prec@5 78.125 (77.145) Epoch: [38][11190/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.5680 (2.0849) Prec@1 33.125 (46.597) Prec@5 68.750 (77.144) Epoch: [38][11200/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 1.9685 (2.0849) Prec@1 51.875 (46.599) Prec@5 78.125 (77.144) Epoch: [38][11210/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.0366 (2.0850) Prec@1 48.125 (46.598) Prec@5 73.125 (77.144) Epoch: [38][11220/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9092 (2.0850) Prec@1 46.250 (46.598) Prec@5 83.125 (77.144) Epoch: [38][11230/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9711 (2.0850) Prec@1 48.125 (46.600) Prec@5 78.750 (77.144) Epoch: [38][11240/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.0749 (2.0849) Prec@1 41.250 (46.600) Prec@5 79.375 (77.145) Epoch: [38][11250/11272] Time 0.906 (0.794) Data 0.002 (0.002) Loss 2.1797 (2.0850) Prec@1 46.875 (46.600) Prec@5 71.250 (77.144) Epoch: [38][11260/11272] Time 0.705 (0.794) Data 0.001 (0.002) Loss 2.1138 (2.0850) Prec@1 45.625 (46.600) Prec@5 73.125 (77.143) Epoch: [38][11270/11272] Time 0.731 (0.794) Data 0.000 (0.002) Loss 2.0772 (2.0850) Prec@1 47.500 (46.600) Prec@5 78.125 (77.143) Test: [0/229] Time 1.706 (1.706) Loss 1.1113 (1.1113) Prec@1 63.750 (63.750) Prec@5 94.375 (94.375) Test: [10/229] Time 0.348 (0.518) Loss 1.1284 (1.8133) Prec@1 66.875 (52.045) Prec@5 95.625 (84.034) Test: [20/229] Time 0.464 (0.455) Loss 1.9723 (1.8473) Prec@1 53.125 (50.833) Prec@5 80.625 (82.887) Test: [30/229] Time 0.359 (0.438) Loss 1.9673 (1.7711) Prec@1 46.250 (53.024) Prec@5 85.000 (83.649) Test: [40/229] Time 0.387 (0.424) Loss 0.5140 (1.7696) Prec@1 87.500 (53.216) Prec@5 95.625 (83.796) Test: [50/229] Time 0.341 (0.415) Loss 2.3386 (1.8133) Prec@1 30.000 (52.353) Prec@5 75.000 (82.549) Test: [60/229] Time 0.352 (0.412) Loss 2.2444 (1.8132) Prec@1 39.375 (52.100) Prec@5 80.625 (82.408) Test: [70/229] Time 0.418 (0.407) Loss 1.4413 (1.8159) Prec@1 66.875 (52.060) Prec@5 85.625 (82.403) Test: [80/229] Time 0.345 (0.406) Loss 2.2198 (1.8352) Prec@1 31.250 (51.258) Prec@5 80.625 (82.392) Test: [90/229] Time 0.420 (0.403) Loss 1.5106 (1.8334) Prec@1 67.500 (51.257) Prec@5 81.250 (82.521) Test: [100/229] Time 0.384 (0.401) Loss 2.1009 (1.8136) Prec@1 50.625 (51.980) Prec@5 79.375 (82.778) Test: [110/229] Time 0.446 (0.400) Loss 1.6651 (1.7985) Prec@1 52.500 (52.061) Prec@5 81.875 (82.962) Test: [120/229] Time 0.346 (0.399) Loss 2.9005 (1.8275) Prec@1 24.375 (51.265) Prec@5 70.625 (82.536) Test: [130/229] Time 0.361 (0.398) Loss 1.5418 (1.8092) Prec@1 60.000 (51.722) Prec@5 85.625 (82.715) Test: [140/229] Time 0.429 (0.397) Loss 1.8120 (1.8186) Prec@1 52.500 (51.449) Prec@5 82.500 (82.606) Test: [150/229] Time 0.377 (0.396) Loss 1.0917 (1.8253) Prec@1 77.500 (51.325) Prec@5 86.250 (82.504) Test: [160/229] Time 0.404 (0.396) Loss 2.1119 (1.8246) Prec@1 53.125 (51.363) Prec@5 83.125 (82.597) Test: [170/229] Time 0.346 (0.394) Loss 2.1165 (1.8382) Prec@1 40.625 (50.965) Prec@5 81.875 (82.474) Test: [180/229] Time 0.403 (0.394) Loss 2.5530 (1.8436) Prec@1 31.250 (50.943) Prec@5 66.875 (82.265) Test: [190/229] Time 0.443 (0.394) Loss 1.6367 (1.8339) Prec@1 56.250 (51.158) Prec@5 89.375 (82.425) Test: [200/229] Time 0.338 (0.393) Loss 1.5566 (1.8238) Prec@1 54.375 (51.362) Prec@5 86.875 (82.662) Test: [210/229] Time 0.411 (0.393) Loss 1.2889 (1.8098) Prec@1 60.625 (51.685) Prec@5 93.750 (82.915) Test: [220/229] Time 0.344 (0.392) Loss 1.7545 (1.8039) Prec@1 54.375 (51.881) Prec@5 85.000 (82.950) * Prec@1 52.303 Prec@5 83.115 Epoch: [39][0/11272] Time 3.105 (3.105) Data 2.289 (2.289) Loss 1.7939 (1.7939) Prec@1 50.625 (50.625) Prec@5 83.125 (83.125) Epoch: [39][10/11272] Time 0.819 (1.009) Data 0.001 (0.210) Loss 1.9023 (2.0746) Prec@1 52.500 (45.341) Prec@5 79.375 (77.557) Epoch: [39][20/11272] Time 0.830 (0.902) Data 0.001 (0.110) Loss 2.0234 (2.0517) Prec@1 50.000 (47.113) Prec@5 77.500 (78.006) Epoch: [39][30/11272] Time 0.732 (0.865) Data 0.002 (0.075) Loss 1.8778 (2.0392) Prec@1 50.000 (47.581) Prec@5 83.750 (78.367) Epoch: [39][40/11272] Time 0.739 (0.846) Data 0.002 (0.057) Loss 2.0463 (2.0442) Prec@1 45.625 (47.622) Prec@5 78.750 (78.110) Epoch: [39][50/11272] Time 0.855 (0.834) Data 0.002 (0.047) Loss 2.2562 (2.0467) Prec@1 45.000 (47.598) Prec@5 73.125 (77.966) Epoch: [39][60/11272] Time 0.810 (0.826) Data 0.001 (0.039) Loss 1.8448 (2.0378) Prec@1 51.250 (47.746) Prec@5 81.875 (78.166) Epoch: [39][70/11272] Time 0.726 (0.820) Data 0.002 (0.034) Loss 1.8473 (2.0400) Prec@1 45.625 (47.509) Prec@5 83.750 (78.187) Epoch: [39][80/11272] Time 0.880 (0.818) Data 0.002 (0.030) Loss 2.1663 (2.0419) Prec@1 46.875 (47.492) Prec@5 75.625 (78.248) Epoch: [39][90/11272] Time 0.855 (0.815) Data 0.006 (0.027) Loss 2.3251 (2.0483) Prec@1 40.000 (47.301) Prec@5 76.250 (78.207) Epoch: [39][100/11272] Time 0.754 (0.813) Data 0.001 (0.024) Loss 2.0836 (2.0457) Prec@1 45.000 (47.302) Prec@5 76.875 (78.162) Epoch: [39][110/11272] Time 0.749 (0.811) Data 0.001 (0.022) Loss 1.8762 (2.0419) Prec@1 49.375 (47.376) Prec@5 80.625 (78.153) Epoch: [39][120/11272] Time 0.864 (0.809) Data 0.002 (0.021) Loss 2.0928 (2.0489) Prec@1 46.875 (47.216) Prec@5 75.625 (78.079) Epoch: [39][130/11272] Time 0.853 (0.808) Data 0.001 (0.019) Loss 1.9801 (2.0513) Prec@1 53.125 (47.252) Prec@5 76.250 (77.848) Epoch: [39][140/11272] Time 0.750 (0.808) Data 0.001 (0.018) Loss 2.1306 (2.0495) Prec@1 45.000 (47.283) Prec@5 76.875 (77.846) Epoch: [39][150/11272] Time 0.735 (0.807) Data 0.001 (0.017) Loss 1.8944 (2.0472) Prec@1 49.375 (47.310) Prec@5 78.125 (77.897) Epoch: [39][160/11272] Time 0.839 (0.806) Data 0.002 (0.016) Loss 2.1966 (2.0481) Prec@1 46.250 (47.321) Prec@5 71.875 (77.842) Epoch: [39][170/11272] Time 0.874 (0.806) Data 0.002 (0.015) Loss 2.0449 (2.0461) Prec@1 51.250 (47.401) Prec@5 79.375 (77.855) Epoch: [39][180/11272] Time 0.735 (0.806) Data 0.001 (0.014) Loss 1.9004 (2.0443) Prec@1 51.875 (47.390) Prec@5 82.500 (77.869) Epoch: [39][190/11272] Time 0.742 (0.806) Data 0.002 (0.014) Loss 2.1230 (2.0440) Prec@1 45.000 (47.402) Prec@5 79.375 (77.906) Epoch: [39][200/11272] Time 0.873 (0.806) Data 0.002 (0.013) Loss 1.9810 (2.0453) Prec@1 50.625 (47.373) Prec@5 77.500 (77.867) Epoch: [39][210/11272] Time 0.741 (0.805) Data 0.003 (0.013) Loss 1.9942 (2.0452) Prec@1 47.500 (47.367) Prec@5 78.750 (77.852) Epoch: [39][220/11272] Time 0.723 (0.804) Data 0.002 (0.012) Loss 1.9773 (2.0448) Prec@1 55.000 (47.390) Prec@5 80.000 (77.868) Epoch: [39][230/11272] Time 0.881 (0.804) Data 0.002 (0.012) Loss 1.8080 (2.0463) Prec@1 48.750 (47.384) Prec@5 81.250 (77.811) Epoch: [39][240/11272] Time 0.873 (0.803) Data 0.002 (0.011) Loss 2.2982 (2.0464) Prec@1 38.750 (47.381) Prec@5 73.750 (77.809) Epoch: [39][250/11272] Time 0.741 (0.803) Data 0.002 (0.011) Loss 2.0130 (2.0459) Prec@1 48.750 (47.400) Prec@5 78.125 (77.799) Epoch: [39][260/11272] Time 0.724 (0.802) Data 0.002 (0.010) Loss 1.6651 (2.0455) Prec@1 51.875 (47.438) Prec@5 81.250 (77.814) Epoch: [39][270/11272] Time 0.866 (0.803) Data 0.003 (0.010) Loss 2.1579 (2.0451) Prec@1 47.500 (47.417) Prec@5 79.375 (77.848) Epoch: [39][280/11272] Time 0.826 (0.802) Data 0.002 (0.010) Loss 2.1236 (2.0484) Prec@1 41.250 (47.327) Prec@5 75.625 (77.789) Epoch: [39][290/11272] Time 0.754 (0.801) Data 0.001 (0.010) Loss 2.1010 (2.0504) Prec@1 44.375 (47.283) Prec@5 74.375 (77.760) Epoch: [39][300/11272] Time 0.709 (0.801) Data 0.002 (0.009) Loss 1.8923 (2.0514) Prec@1 47.500 (47.326) Prec@5 80.000 (77.730) Epoch: [39][310/11272] Time 0.850 (0.801) Data 0.002 (0.009) Loss 2.1658 (2.0546) Prec@1 46.250 (47.291) Prec@5 73.750 (77.659) Epoch: [39][320/11272] Time 0.818 (0.800) Data 0.001 (0.009) Loss 2.2517 (2.0532) Prec@1 41.875 (47.309) Prec@5 74.375 (77.708) Epoch: [39][330/11272] Time 0.736 (0.800) Data 0.001 (0.009) Loss 1.9427 (2.0513) Prec@1 47.500 (47.315) Prec@5 80.625 (77.751) Epoch: [39][340/11272] Time 0.814 (0.800) Data 0.001 (0.008) Loss 2.0119 (2.0523) Prec@1 44.375 (47.308) Prec@5 76.250 (77.718) Epoch: [39][350/11272] Time 0.861 (0.800) Data 0.001 (0.008) Loss 2.0990 (2.0519) Prec@1 51.250 (47.324) Prec@5 74.375 (77.714) Epoch: [39][360/11272] Time 0.756 (0.799) Data 0.001 (0.008) Loss 1.9906 (2.0531) Prec@1 50.000 (47.284) Prec@5 78.750 (77.706) Epoch: [39][370/11272] Time 0.732 (0.799) Data 0.002 (0.008) Loss 1.9601 (2.0550) Prec@1 48.125 (47.225) Prec@5 81.875 (77.695) Epoch: [39][380/11272] Time 0.846 (0.799) Data 0.001 (0.008) Loss 2.1351 (2.0542) Prec@1 49.375 (47.246) Prec@5 78.125 (77.717) Epoch: [39][390/11272] Time 0.833 (0.799) Data 0.002 (0.007) Loss 2.2441 (2.0528) Prec@1 44.375 (47.276) Prec@5 76.875 (77.727) Epoch: [39][400/11272] Time 0.726 (0.799) Data 0.002 (0.007) Loss 2.0839 (2.0532) Prec@1 48.125 (47.262) Prec@5 75.625 (77.704) Epoch: [39][410/11272] Time 0.725 (0.799) Data 0.001 (0.007) Loss 2.2555 (2.0543) Prec@1 41.875 (47.235) Prec@5 78.125 (77.717) Epoch: [39][420/11272] Time 0.853 (0.799) Data 0.001 (0.007) Loss 1.9981 (2.0543) Prec@1 50.625 (47.237) Prec@5 78.750 (77.742) Epoch: [39][430/11272] Time 0.813 (0.799) Data 0.002 (0.007) Loss 2.1885 (2.0539) Prec@1 45.625 (47.249) Prec@5 73.750 (77.715) Epoch: [39][440/11272] Time 0.743 (0.799) Data 0.001 (0.007) Loss 2.0335 (2.0531) Prec@1 47.500 (47.262) Prec@5 75.625 (77.730) Epoch: [39][450/11272] Time 0.731 (0.798) Data 0.002 (0.007) Loss 2.0866 (2.0523) Prec@1 48.125 (47.285) Prec@5 77.500 (77.740) Epoch: [39][460/11272] Time 0.872 (0.798) Data 0.001 (0.007) Loss 2.0508 (2.0531) Prec@1 47.500 (47.257) Prec@5 75.000 (77.699) Epoch: [39][470/11272] Time 0.819 (0.798) Data 0.001 (0.006) Loss 2.0991 (2.0508) Prec@1 49.375 (47.309) Prec@5 76.875 (77.724) Epoch: [39][480/11272] Time 0.728 (0.798) Data 0.002 (0.006) Loss 1.9272 (2.0516) Prec@1 47.500 (47.314) Prec@5 80.000 (77.687) Epoch: [39][490/11272] Time 0.846 (0.798) Data 0.001 (0.006) Loss 2.3074 (2.0516) Prec@1 49.375 (47.328) Prec@5 69.375 (77.683) Epoch: [39][500/11272] Time 0.889 (0.798) Data 0.002 (0.006) Loss 2.1539 (2.0541) Prec@1 41.875 (47.270) Prec@5 75.000 (77.636) Epoch: [39][510/11272] Time 0.756 (0.798) Data 0.002 (0.006) Loss 1.9901 (2.0541) Prec@1 52.500 (47.298) Prec@5 73.750 (77.621) Epoch: [39][520/11272] Time 0.734 (0.797) Data 0.002 (0.006) Loss 2.1239 (2.0536) Prec@1 43.125 (47.285) Prec@5 76.875 (77.639) Epoch: [39][530/11272] Time 0.839 (0.798) Data 0.002 (0.006) Loss 2.0285 (2.0545) Prec@1 45.625 (47.255) Prec@5 76.250 (77.621) Epoch: [39][540/11272] Time 0.834 (0.798) Data 0.002 (0.006) Loss 2.0819 (2.0538) Prec@1 47.500 (47.261) Prec@5 73.750 (77.634) Epoch: [39][550/11272] Time 0.792 (0.798) Data 0.002 (0.006) Loss 2.2839 (2.0547) Prec@1 41.250 (47.257) Prec@5 73.750 (77.627) Epoch: [39][560/11272] Time 0.735 (0.797) Data 0.002 (0.006) Loss 2.0925 (2.0551) Prec@1 48.750 (47.244) Prec@5 73.750 (77.617) Epoch: [39][570/11272] Time 0.827 (0.797) Data 0.001 (0.006) Loss 1.9652 (2.0560) Prec@1 48.750 (47.209) Prec@5 80.000 (77.602) Epoch: [39][580/11272] Time 0.817 (0.797) Data 0.001 (0.006) Loss 2.2639 (2.0562) Prec@1 45.000 (47.222) Prec@5 71.875 (77.616) Epoch: [39][590/11272] Time 0.737 (0.797) Data 0.002 (0.005) Loss 2.1038 (2.0575) Prec@1 49.375 (47.216) Prec@5 75.625 (77.590) Epoch: [39][600/11272] Time 0.733 (0.797) Data 0.001 (0.005) Loss 2.2591 (2.0582) Prec@1 40.625 (47.195) Prec@5 76.250 (77.582) Epoch: [39][610/11272] Time 0.834 (0.797) Data 0.002 (0.005) Loss 2.0802 (2.0581) Prec@1 47.500 (47.195) Prec@5 78.125 (77.589) Epoch: [39][620/11272] Time 0.770 (0.797) Data 0.002 (0.005) Loss 1.9795 (2.0588) Prec@1 49.375 (47.177) Prec@5 77.500 (77.566) Epoch: [39][630/11272] Time 0.714 (0.797) Data 0.002 (0.005) Loss 2.0562 (2.0585) Prec@1 45.625 (47.186) Prec@5 78.125 (77.567) Epoch: [39][640/11272] Time 0.836 (0.797) Data 0.001 (0.005) Loss 2.3301 (2.0588) Prec@1 45.000 (47.204) Prec@5 71.875 (77.556) Epoch: [39][650/11272] Time 0.867 (0.797) Data 0.002 (0.005) Loss 2.2002 (2.0588) Prec@1 46.875 (47.205) Prec@5 76.250 (77.545) Epoch: [39][660/11272] Time 0.749 (0.797) Data 0.001 (0.005) Loss 2.0442 (2.0594) Prec@1 48.750 (47.204) Prec@5 73.750 (77.524) Epoch: [39][670/11272] Time 0.727 (0.797) Data 0.002 (0.005) Loss 2.2613 (2.0585) Prec@1 44.375 (47.229) Prec@5 72.500 (77.540) Epoch: [39][680/11272] Time 0.853 (0.797) Data 0.001 (0.005) Loss 1.9769 (2.0592) Prec@1 50.625 (47.222) Prec@5 83.125 (77.540) Epoch: [39][690/11272] Time 0.822 (0.797) Data 0.002 (0.005) Loss 1.9376 (2.0592) Prec@1 55.000 (47.243) Prec@5 81.875 (77.542) Epoch: [39][700/11272] Time 0.733 (0.796) Data 0.001 (0.005) Loss 1.9866 (2.0595) Prec@1 47.500 (47.245) Prec@5 78.125 (77.525) Epoch: [39][710/11272] Time 0.724 (0.796) Data 0.002 (0.005) Loss 2.1379 (2.0591) Prec@1 42.500 (47.229) Prec@5 75.000 (77.518) Epoch: [39][720/11272] Time 0.830 (0.796) Data 0.002 (0.005) Loss 2.0943 (2.0584) Prec@1 46.875 (47.258) Prec@5 75.625 (77.525) Epoch: [39][730/11272] Time 0.830 (0.796) Data 0.001 (0.005) Loss 1.9111 (2.0581) Prec@1 48.750 (47.279) Prec@5 83.125 (77.556) Epoch: [39][740/11272] Time 0.746 (0.796) Data 0.001 (0.005) Loss 1.9578 (2.0575) Prec@1 46.250 (47.285) Prec@5 80.000 (77.571) Epoch: [39][750/11272] Time 0.839 (0.796) Data 0.001 (0.005) Loss 2.2081 (2.0580) Prec@1 44.375 (47.275) Prec@5 75.625 (77.553) Epoch: [39][760/11272] Time 0.833 (0.796) Data 0.002 (0.005) Loss 2.0189 (2.0584) Prec@1 44.375 (47.261) Prec@5 78.125 (77.544) Epoch: [39][770/11272] Time 0.724 (0.796) Data 0.002 (0.005) Loss 2.1028 (2.0583) Prec@1 49.375 (47.263) Prec@5 78.750 (77.547) Epoch: [39][780/11272] Time 0.736 (0.796) Data 0.001 (0.005) Loss 1.9930 (2.0579) Prec@1 47.500 (47.264) Prec@5 80.000 (77.554) Epoch: [39][790/11272] Time 0.851 (0.796) Data 0.002 (0.005) Loss 1.9839 (2.0584) Prec@1 50.000 (47.249) Prec@5 80.000 (77.551) Epoch: [39][800/11272] Time 0.827 (0.796) Data 0.001 (0.004) Loss 1.8101 (2.0585) Prec@1 48.750 (47.257) Prec@5 84.375 (77.561) Epoch: [39][810/11272] Time 0.765 (0.795) Data 0.001 (0.004) Loss 1.8521 (2.0590) Prec@1 53.125 (47.250) Prec@5 83.125 (77.555) Epoch: [39][820/11272] Time 0.762 (0.796) Data 0.003 (0.004) Loss 2.0746 (2.0595) Prec@1 46.250 (47.224) Prec@5 79.375 (77.546) Epoch: [39][830/11272] Time 0.867 (0.796) Data 0.002 (0.004) Loss 2.0756 (2.0596) Prec@1 46.250 (47.233) Prec@5 81.250 (77.544) Epoch: [39][840/11272] Time 0.816 (0.796) Data 0.001 (0.004) Loss 1.8193 (2.0588) Prec@1 53.125 (47.240) Prec@5 80.625 (77.558) Epoch: [39][850/11272] Time 0.744 (0.796) Data 0.002 (0.004) Loss 1.7099 (2.0594) Prec@1 58.125 (47.236) Prec@5 85.625 (77.554) Epoch: [39][860/11272] Time 0.729 (0.795) Data 0.001 (0.004) Loss 1.8443 (2.0592) Prec@1 47.500 (47.236) Prec@5 83.125 (77.546) Epoch: [39][870/11272] Time 0.869 (0.795) Data 0.002 (0.004) Loss 2.1142 (2.0598) Prec@1 45.625 (47.213) Prec@5 77.500 (77.527) Epoch: [39][880/11272] Time 0.724 (0.795) Data 0.003 (0.004) Loss 2.2270 (2.0603) Prec@1 43.750 (47.182) Prec@5 74.375 (77.503) Epoch: [39][890/11272] Time 0.747 (0.795) Data 0.001 (0.004) Loss 2.0860 (2.0611) Prec@1 48.125 (47.166) Prec@5 78.750 (77.487) Epoch: [39][900/11272] Time 0.879 (0.795) Data 0.002 (0.004) Loss 1.9288 (2.0614) Prec@1 50.625 (47.159) Prec@5 77.500 (77.478) Epoch: [39][910/11272] Time 0.803 (0.795) Data 0.001 (0.004) Loss 2.0345 (2.0619) Prec@1 53.125 (47.165) Prec@5 76.250 (77.462) Epoch: [39][920/11272] Time 0.733 (0.795) Data 0.001 (0.004) Loss 1.8032 (2.0621) Prec@1 53.125 (47.157) Prec@5 80.625 (77.455) Epoch: [39][930/11272] Time 0.729 (0.795) Data 0.002 (0.004) Loss 2.0496 (2.0617) Prec@1 47.500 (47.180) Prec@5 78.125 (77.467) Epoch: [39][940/11272] Time 0.840 (0.795) Data 0.002 (0.004) Loss 2.0546 (2.0622) Prec@1 46.875 (47.168) Prec@5 76.875 (77.460) Epoch: [39][950/11272] Time 0.834 (0.795) Data 0.001 (0.004) Loss 2.0672 (2.0617) Prec@1 45.000 (47.183) Prec@5 76.250 (77.474) Epoch: [39][960/11272] Time 0.740 (0.795) Data 0.002 (0.004) Loss 1.9681 (2.0619) Prec@1 48.125 (47.180) Prec@5 81.875 (77.475) Epoch: [39][970/11272] Time 0.727 (0.795) Data 0.002 (0.004) Loss 2.1078 (2.0619) Prec@1 51.875 (47.178) Prec@5 75.000 (77.468) Epoch: [39][980/11272] Time 0.836 (0.795) Data 0.001 (0.004) Loss 2.0745 (2.0624) Prec@1 48.125 (47.174) Prec@5 79.375 (77.452) Epoch: [39][990/11272] Time 0.831 (0.795) Data 0.001 (0.004) Loss 2.0686 (2.0629) Prec@1 46.250 (47.163) Prec@5 75.625 (77.445) Epoch: [39][1000/11272] Time 0.718 (0.795) Data 0.001 (0.004) Loss 2.6241 (2.0641) Prec@1 40.000 (47.136) Prec@5 71.250 (77.411) Epoch: [39][1010/11272] Time 0.837 (0.795) Data 0.001 (0.004) Loss 1.9663 (2.0644) Prec@1 50.000 (47.129) Prec@5 78.125 (77.407) Epoch: [39][1020/11272] Time 0.830 (0.795) Data 0.002 (0.004) Loss 2.2116 (2.0650) Prec@1 45.000 (47.133) Prec@5 74.375 (77.395) Epoch: [39][1030/11272] Time 0.732 (0.795) Data 0.001 (0.004) Loss 1.8078 (2.0650) Prec@1 53.750 (47.142) Prec@5 81.250 (77.389) Epoch: [39][1040/11272] Time 0.742 (0.795) Data 0.001 (0.004) Loss 2.1478 (2.0649) Prec@1 45.625 (47.136) Prec@5 73.750 (77.403) Epoch: [39][1050/11272] Time 0.851 (0.795) Data 0.001 (0.004) Loss 2.1033 (2.0644) Prec@1 44.375 (47.137) Prec@5 76.875 (77.413) Epoch: [39][1060/11272] Time 0.847 (0.795) Data 0.002 (0.004) Loss 2.2730 (2.0649) Prec@1 43.750 (47.121) Prec@5 69.375 (77.402) Epoch: [39][1070/11272] Time 0.748 (0.795) Data 0.002 (0.004) Loss 2.1296 (2.0651) Prec@1 43.750 (47.108) Prec@5 75.625 (77.391) Epoch: [39][1080/11272] Time 0.735 (0.795) Data 0.001 (0.004) Loss 1.7625 (2.0651) Prec@1 55.000 (47.111) Prec@5 82.500 (77.399) Epoch: [39][1090/11272] Time 0.836 (0.795) Data 0.002 (0.004) Loss 2.1758 (2.0651) Prec@1 43.750 (47.099) Prec@5 71.875 (77.400) Epoch: [39][1100/11272] Time 0.854 (0.795) Data 0.002 (0.004) Loss 1.8059 (2.0650) Prec@1 54.375 (47.106) Prec@5 83.125 (77.409) Epoch: [39][1110/11272] Time 0.724 (0.795) Data 0.001 (0.004) Loss 1.9473 (2.0653) Prec@1 42.500 (47.097) Prec@5 82.500 (77.400) Epoch: [39][1120/11272] Time 0.730 (0.795) Data 0.001 (0.004) Loss 2.0291 (2.0649) Prec@1 48.125 (47.102) Prec@5 77.500 (77.404) Epoch: [39][1130/11272] Time 0.860 (0.795) Data 0.002 (0.004) Loss 2.2660 (2.0651) Prec@1 43.125 (47.090) Prec@5 71.875 (77.401) Epoch: [39][1140/11272] Time 0.738 (0.795) Data 0.003 (0.004) Loss 2.2532 (2.0655) Prec@1 43.125 (47.079) Prec@5 71.875 (77.390) Epoch: [39][1150/11272] Time 0.741 (0.795) Data 0.001 (0.004) Loss 2.2069 (2.0658) Prec@1 45.625 (47.084) Prec@5 73.125 (77.377) Epoch: [39][1160/11272] Time 0.832 (0.795) Data 0.001 (0.004) Loss 2.0440 (2.0659) Prec@1 50.625 (47.093) Prec@5 76.875 (77.373) Epoch: [39][1170/11272] Time 0.847 (0.795) Data 0.001 (0.004) Loss 1.9095 (2.0656) Prec@1 46.875 (47.099) Prec@5 78.750 (77.374) Epoch: [39][1180/11272] Time 0.734 (0.795) Data 0.002 (0.004) Loss 1.8376 (2.0654) Prec@1 51.250 (47.099) Prec@5 81.875 (77.385) Epoch: [39][1190/11272] Time 0.738 (0.795) Data 0.002 (0.004) Loss 1.9189 (2.0655) Prec@1 48.750 (47.083) Prec@5 81.250 (77.388) Epoch: [39][1200/11272] Time 0.841 (0.795) Data 0.001 (0.004) Loss 1.9045 (2.0648) Prec@1 51.875 (47.109) Prec@5 81.875 (77.401) Epoch: [39][1210/11272] Time 0.849 (0.795) Data 0.001 (0.003) Loss 1.8912 (2.0647) Prec@1 50.000 (47.107) Prec@5 82.500 (77.407) Epoch: [39][1220/11272] Time 0.751 (0.795) Data 0.002 (0.003) Loss 1.9297 (2.0647) Prec@1 49.375 (47.104) Prec@5 75.000 (77.400) Epoch: [39][1230/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 2.1595 (2.0645) Prec@1 43.125 (47.109) Prec@5 76.875 (77.400) Epoch: [39][1240/11272] Time 0.827 (0.794) Data 0.002 (0.003) Loss 2.1105 (2.0647) Prec@1 48.125 (47.107) Prec@5 78.125 (77.407) Epoch: [39][1250/11272] Time 0.843 (0.794) Data 0.001 (0.003) Loss 2.1671 (2.0651) Prec@1 45.000 (47.098) Prec@5 76.250 (77.392) Epoch: [39][1260/11272] Time 0.747 (0.794) Data 0.002 (0.003) Loss 1.9299 (2.0650) Prec@1 50.000 (47.100) Prec@5 78.750 (77.397) Epoch: [39][1270/11272] Time 0.863 (0.794) Data 0.002 (0.003) Loss 2.0147 (2.0648) Prec@1 48.125 (47.109) Prec@5 81.875 (77.407) Epoch: [39][1280/11272] Time 0.835 (0.794) Data 0.002 (0.003) Loss 2.0753 (2.0643) Prec@1 43.750 (47.108) Prec@5 79.375 (77.414) Epoch: [39][1290/11272] Time 0.736 (0.794) Data 0.002 (0.003) Loss 2.0915 (2.0644) Prec@1 51.875 (47.113) Prec@5 72.500 (77.408) Epoch: [39][1300/11272] Time 0.729 (0.794) Data 0.002 (0.003) Loss 1.9710 (2.0640) Prec@1 48.125 (47.115) Prec@5 76.250 (77.415) Epoch: [39][1310/11272] Time 0.862 (0.794) Data 0.002 (0.003) Loss 1.7885 (2.0633) Prec@1 52.500 (47.123) Prec@5 83.750 (77.428) Epoch: [39][1320/11272] Time 0.821 (0.794) Data 0.001 (0.003) Loss 1.8777 (2.0629) Prec@1 48.125 (47.129) Prec@5 82.500 (77.435) Epoch: [39][1330/11272] Time 0.725 (0.794) Data 0.001 (0.003) Loss 2.3485 (2.0626) Prec@1 43.125 (47.127) Prec@5 71.250 (77.430) Epoch: [39][1340/11272] Time 0.738 (0.794) Data 0.001 (0.003) Loss 1.8645 (2.0631) Prec@1 48.750 (47.111) Prec@5 77.500 (77.429) Epoch: [39][1350/11272] Time 0.836 (0.794) Data 0.002 (0.003) Loss 1.8921 (2.0632) Prec@1 52.500 (47.116) Prec@5 80.000 (77.425) Epoch: [39][1360/11272] Time 0.886 (0.794) Data 0.002 (0.003) Loss 2.1207 (2.0630) Prec@1 47.500 (47.118) Prec@5 78.125 (77.433) Epoch: [39][1370/11272] Time 0.772 (0.794) Data 0.002 (0.003) Loss 1.8687 (2.0621) Prec@1 50.000 (47.128) Prec@5 83.125 (77.449) Epoch: [39][1380/11272] Time 0.736 (0.794) Data 0.002 (0.003) Loss 1.9929 (2.0625) Prec@1 51.875 (47.104) Prec@5 77.500 (77.444) Epoch: [39][1390/11272] Time 0.832 (0.794) Data 0.002 (0.003) Loss 2.0858 (2.0625) Prec@1 51.875 (47.093) Prec@5 76.250 (77.446) Epoch: [39][1400/11272] Time 0.811 (0.794) Data 0.001 (0.003) Loss 2.2254 (2.0626) Prec@1 47.500 (47.094) Prec@5 73.125 (77.439) Epoch: [39][1410/11272] Time 0.787 (0.794) Data 0.002 (0.003) Loss 1.9280 (2.0622) Prec@1 53.750 (47.108) Prec@5 80.000 (77.450) Epoch: [39][1420/11272] Time 0.875 (0.794) Data 0.001 (0.003) Loss 2.0123 (2.0617) Prec@1 43.750 (47.107) Prec@5 78.750 (77.463) Epoch: [39][1430/11272] Time 0.858 (0.794) Data 0.001 (0.003) Loss 2.0576 (2.0618) Prec@1 47.500 (47.106) Prec@5 79.375 (77.467) Epoch: [39][1440/11272] Time 0.755 (0.794) Data 0.002 (0.003) Loss 1.9603 (2.0618) Prec@1 51.250 (47.110) Prec@5 80.000 (77.467) Epoch: [39][1450/11272] Time 0.800 (0.794) Data 0.002 (0.003) Loss 2.1796 (2.0619) Prec@1 44.375 (47.111) Prec@5 75.000 (77.461) Epoch: [39][1460/11272] Time 0.836 (0.795) Data 0.002 (0.003) Loss 2.1610 (2.0622) Prec@1 42.500 (47.107) Prec@5 81.250 (77.462) Epoch: [39][1470/11272] Time 0.844 (0.794) Data 0.001 (0.003) Loss 2.0567 (2.0622) Prec@1 50.000 (47.109) Prec@5 77.500 (77.461) Epoch: [39][1480/11272] Time 0.739 (0.794) Data 0.002 (0.003) Loss 1.9100 (2.0621) Prec@1 49.375 (47.110) Prec@5 81.875 (77.467) Epoch: [39][1490/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 1.9824 (2.0619) Prec@1 51.250 (47.103) Prec@5 78.125 (77.469) Epoch: [39][1500/11272] Time 0.874 (0.795) Data 0.002 (0.003) Loss 2.0225 (2.0616) Prec@1 44.375 (47.105) Prec@5 81.250 (77.478) Epoch: [39][1510/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 2.0562 (2.0615) Prec@1 43.750 (47.108) Prec@5 79.375 (77.476) Epoch: [39][1520/11272] Time 0.733 (0.795) Data 0.001 (0.003) Loss 1.9919 (2.0620) Prec@1 51.250 (47.098) Prec@5 79.375 (77.473) Epoch: [39][1530/11272] Time 0.746 (0.795) Data 0.001 (0.003) Loss 2.0220 (2.0619) Prec@1 48.750 (47.103) Prec@5 77.500 (77.478) Epoch: [39][1540/11272] Time 0.848 (0.794) Data 0.002 (0.003) Loss 1.9233 (2.0614) Prec@1 51.250 (47.110) Prec@5 80.000 (77.488) Epoch: [39][1550/11272] Time 0.727 (0.794) Data 0.002 (0.003) Loss 2.0973 (2.0614) Prec@1 41.250 (47.101) Prec@5 73.125 (77.490) Epoch: [39][1560/11272] Time 0.734 (0.794) Data 0.002 (0.003) Loss 2.3113 (2.0616) Prec@1 42.500 (47.101) Prec@5 75.000 (77.491) Epoch: [39][1570/11272] Time 0.848 (0.794) Data 0.002 (0.003) Loss 2.1431 (2.0616) Prec@1 45.625 (47.095) Prec@5 75.625 (77.491) Epoch: [39][1580/11272] Time 0.840 (0.795) Data 0.002 (0.003) Loss 2.0027 (2.0613) Prec@1 44.375 (47.102) Prec@5 81.875 (77.496) Epoch: [39][1590/11272] Time 0.745 (0.795) Data 0.002 (0.003) Loss 2.4185 (2.0621) Prec@1 41.875 (47.093) Prec@5 71.875 (77.484) Epoch: [39][1600/11272] Time 0.742 (0.795) Data 0.001 (0.003) Loss 2.0130 (2.0621) Prec@1 45.625 (47.084) Prec@5 80.625 (77.493) Epoch: [39][1610/11272] Time 0.854 (0.795) Data 0.002 (0.003) Loss 2.0794 (2.0618) Prec@1 41.875 (47.086) Prec@5 80.000 (77.503) Epoch: [39][1620/11272] Time 0.865 (0.795) Data 0.002 (0.003) Loss 2.1012 (2.0615) Prec@1 45.625 (47.096) Prec@5 75.000 (77.505) Epoch: [39][1630/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 2.1982 (2.0612) Prec@1 43.125 (47.095) Prec@5 73.125 (77.510) Epoch: [39][1640/11272] Time 0.755 (0.795) Data 0.001 (0.003) Loss 1.9995 (2.0614) Prec@1 48.750 (47.089) Prec@5 78.750 (77.502) Epoch: [39][1650/11272] Time 0.835 (0.795) Data 0.002 (0.003) Loss 2.2221 (2.0613) Prec@1 42.500 (47.091) Prec@5 75.000 (77.503) Epoch: [39][1660/11272] Time 0.842 (0.795) Data 0.001 (0.003) Loss 1.9634 (2.0613) Prec@1 47.500 (47.088) Prec@5 80.000 (77.505) Epoch: [39][1670/11272] Time 0.725 (0.795) Data 0.002 (0.003) Loss 2.0748 (2.0615) Prec@1 48.125 (47.086) Prec@5 76.875 (77.500) Epoch: [39][1680/11272] Time 0.866 (0.795) Data 0.001 (0.003) Loss 2.0553 (2.0624) Prec@1 48.125 (47.066) Prec@5 73.750 (77.482) Epoch: [39][1690/11272] Time 0.902 (0.795) Data 0.002 (0.003) Loss 2.1091 (2.0628) Prec@1 50.625 (47.051) Prec@5 76.875 (77.477) Epoch: [39][1700/11272] Time 0.755 (0.795) Data 0.001 (0.003) Loss 1.8325 (2.0622) Prec@1 55.000 (47.060) Prec@5 82.500 (77.484) Epoch: [39][1710/11272] Time 0.744 (0.795) Data 0.002 (0.003) Loss 2.0268 (2.0616) Prec@1 45.000 (47.067) Prec@5 79.375 (77.495) Epoch: [39][1720/11272] Time 0.857 (0.795) Data 0.002 (0.003) Loss 1.8996 (2.0618) Prec@1 53.125 (47.059) Prec@5 77.500 (77.491) Epoch: [39][1730/11272] Time 0.860 (0.795) Data 0.002 (0.003) Loss 2.0025 (2.0621) Prec@1 44.375 (47.051) Prec@5 83.750 (77.486) Epoch: [39][1740/11272] Time 0.738 (0.795) Data 0.001 (0.003) Loss 2.1995 (2.0621) Prec@1 44.375 (47.048) Prec@5 78.125 (77.490) Epoch: [39][1750/11272] Time 0.743 (0.794) Data 0.001 (0.003) Loss 2.1605 (2.0623) Prec@1 45.625 (47.045) Prec@5 76.875 (77.491) Epoch: [39][1760/11272] Time 0.833 (0.795) Data 0.002 (0.003) Loss 1.9892 (2.0624) Prec@1 45.625 (47.035) Prec@5 80.625 (77.491) Epoch: [39][1770/11272] Time 0.810 (0.795) Data 0.001 (0.003) Loss 2.0616 (2.0629) Prec@1 47.500 (47.021) Prec@5 75.625 (77.482) Epoch: [39][1780/11272] Time 0.728 (0.795) Data 0.001 (0.003) Loss 2.0548 (2.0628) Prec@1 52.500 (47.022) Prec@5 75.625 (77.475) Epoch: [39][1790/11272] Time 0.735 (0.795) Data 0.001 (0.003) Loss 2.0756 (2.0630) Prec@1 43.750 (47.022) Prec@5 75.625 (77.472) Epoch: [39][1800/11272] Time 0.839 (0.795) Data 0.002 (0.003) Loss 2.1360 (2.0629) Prec@1 45.000 (47.017) Prec@5 75.000 (77.474) Epoch: [39][1810/11272] Time 0.735 (0.795) Data 0.003 (0.003) Loss 2.0095 (2.0632) Prec@1 46.250 (47.012) Prec@5 79.375 (77.470) Epoch: [39][1820/11272] Time 0.733 (0.795) Data 0.001 (0.003) Loss 2.1569 (2.0633) Prec@1 39.375 (47.003) Prec@5 75.000 (77.464) Epoch: [39][1830/11272] Time 0.855 (0.795) Data 0.002 (0.003) Loss 2.0684 (2.0637) Prec@1 44.375 (46.996) Prec@5 75.625 (77.460) Epoch: [39][1840/11272] Time 0.840 (0.795) Data 0.002 (0.003) Loss 1.9964 (2.0639) Prec@1 49.375 (46.988) Prec@5 76.875 (77.453) Epoch: [39][1850/11272] Time 0.727 (0.795) Data 0.001 (0.003) Loss 2.2195 (2.0640) Prec@1 48.750 (46.990) Prec@5 73.750 (77.446) Epoch: [39][1860/11272] Time 0.737 (0.795) Data 0.002 (0.003) Loss 2.3297 (2.0645) Prec@1 41.875 (46.987) Prec@5 76.250 (77.442) Epoch: [39][1870/11272] Time 0.815 (0.795) Data 0.001 (0.003) Loss 2.2924 (2.0650) Prec@1 46.250 (46.977) Prec@5 76.875 (77.436) Epoch: [39][1880/11272] Time 0.829 (0.795) Data 0.002 (0.003) Loss 2.0354 (2.0652) Prec@1 47.500 (46.981) Prec@5 78.750 (77.432) Epoch: [39][1890/11272] Time 0.749 (0.794) Data 0.002 (0.003) Loss 2.4153 (2.0655) Prec@1 40.000 (46.978) Prec@5 71.250 (77.425) Epoch: [39][1900/11272] Time 0.738 (0.795) Data 0.001 (0.003) Loss 2.0050 (2.0654) Prec@1 49.375 (46.974) Prec@5 77.500 (77.429) Epoch: [39][1910/11272] Time 0.829 (0.795) Data 0.002 (0.003) Loss 1.8689 (2.0658) Prec@1 46.250 (46.961) Prec@5 76.875 (77.423) Epoch: [39][1920/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 1.8912 (2.0656) Prec@1 53.125 (46.957) Prec@5 80.000 (77.426) Epoch: [39][1930/11272] Time 0.736 (0.795) Data 0.001 (0.003) Loss 2.0925 (2.0662) Prec@1 50.625 (46.949) Prec@5 71.250 (77.414) Epoch: [39][1940/11272] Time 0.838 (0.795) Data 0.001 (0.003) Loss 2.0854 (2.0661) Prec@1 45.625 (46.946) Prec@5 76.250 (77.408) Epoch: [39][1950/11272] Time 0.918 (0.795) Data 0.002 (0.003) Loss 2.0546 (2.0661) Prec@1 45.000 (46.954) Prec@5 79.375 (77.410) Epoch: [39][1960/11272] Time 0.730 (0.794) Data 0.001 (0.003) Loss 2.2122 (2.0664) Prec@1 45.000 (46.954) Prec@5 75.625 (77.400) Epoch: [39][1970/11272] Time 0.745 (0.794) Data 0.002 (0.003) Loss 2.0960 (2.0665) Prec@1 48.125 (46.958) Prec@5 75.000 (77.395) Epoch: [39][1980/11272] Time 0.853 (0.794) Data 0.001 (0.003) Loss 2.0312 (2.0667) Prec@1 49.375 (46.956) Prec@5 76.875 (77.392) Epoch: [39][1990/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 2.2737 (2.0669) Prec@1 41.250 (46.954) Prec@5 72.500 (77.386) Epoch: [39][2000/11272] Time 0.752 (0.794) Data 0.001 (0.003) Loss 2.4637 (2.0673) Prec@1 40.000 (46.947) Prec@5 73.750 (77.380) Epoch: [39][2010/11272] Time 0.749 (0.794) Data 0.001 (0.003) Loss 2.1058 (2.0671) Prec@1 48.750 (46.957) Prec@5 78.125 (77.378) Epoch: [39][2020/11272] Time 0.866 (0.795) Data 0.002 (0.003) Loss 2.0518 (2.0676) Prec@1 47.500 (46.941) Prec@5 78.750 (77.374) Epoch: [39][2030/11272] Time 0.807 (0.794) Data 0.001 (0.003) Loss 2.2070 (2.0677) Prec@1 45.625 (46.945) Prec@5 73.125 (77.372) Epoch: [39][2040/11272] Time 0.717 (0.794) Data 0.002 (0.003) Loss 1.9935 (2.0677) Prec@1 51.250 (46.948) Prec@5 75.625 (77.363) Epoch: [39][2050/11272] Time 0.763 (0.794) Data 0.001 (0.003) Loss 1.9554 (2.0676) Prec@1 52.500 (46.949) Prec@5 77.500 (77.362) Epoch: [39][2060/11272] Time 0.836 (0.794) Data 0.002 (0.003) Loss 2.2687 (2.0677) Prec@1 38.750 (46.938) Prec@5 76.875 (77.366) Epoch: [39][2070/11272] Time 0.767 (0.794) Data 0.003 (0.003) Loss 2.0640 (2.0674) Prec@1 43.125 (46.947) Prec@5 77.500 (77.370) Epoch: [39][2080/11272] Time 0.748 (0.794) Data 0.002 (0.003) Loss 2.0626 (2.0671) Prec@1 46.875 (46.946) Prec@5 76.250 (77.378) Epoch: [39][2090/11272] Time 0.812 (0.794) Data 0.002 (0.003) Loss 2.0376 (2.0668) Prec@1 47.500 (46.952) Prec@5 80.000 (77.381) Epoch: [39][2100/11272] Time 0.875 (0.794) Data 0.002 (0.003) Loss 2.2324 (2.0671) Prec@1 44.375 (46.940) Prec@5 71.250 (77.380) Epoch: [39][2110/11272] Time 0.737 (0.794) Data 0.002 (0.003) Loss 1.8299 (2.0673) Prec@1 55.625 (46.936) Prec@5 78.750 (77.383) Epoch: [39][2120/11272] Time 0.739 (0.794) Data 0.001 (0.003) Loss 2.1726 (2.0677) Prec@1 41.875 (46.924) Prec@5 71.250 (77.372) Epoch: [39][2130/11272] Time 0.835 (0.794) Data 0.001 (0.003) Loss 2.0497 (2.0676) Prec@1 46.875 (46.926) Prec@5 75.625 (77.372) Epoch: [39][2140/11272] Time 0.887 (0.794) Data 0.002 (0.003) Loss 2.1775 (2.0677) Prec@1 42.500 (46.928) Prec@5 78.125 (77.372) Epoch: [39][2150/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 2.0610 (2.0677) Prec@1 49.375 (46.912) Prec@5 78.750 (77.375) Epoch: [39][2160/11272] Time 0.740 (0.794) Data 0.002 (0.003) Loss 2.2906 (2.0680) Prec@1 43.125 (46.903) Prec@5 74.375 (77.372) Epoch: [39][2170/11272] Time 0.851 (0.794) Data 0.002 (0.003) Loss 1.8168 (2.0678) Prec@1 51.875 (46.905) Prec@5 80.000 (77.373) Epoch: [39][2180/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 2.2799 (2.0680) Prec@1 42.500 (46.897) Prec@5 71.250 (77.368) Epoch: [39][2190/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 2.0951 (2.0680) Prec@1 45.625 (46.894) Prec@5 76.875 (77.368) Epoch: [39][2200/11272] Time 0.829 (0.794) Data 0.001 (0.003) Loss 2.1118 (2.0679) Prec@1 52.500 (46.894) Prec@5 71.250 (77.367) Epoch: [39][2210/11272] Time 0.839 (0.794) Data 0.001 (0.003) Loss 1.8684 (2.0678) Prec@1 51.250 (46.889) Prec@5 78.750 (77.370) Epoch: [39][2220/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 2.1808 (2.0678) Prec@1 44.375 (46.890) Prec@5 76.250 (77.371) Epoch: [39][2230/11272] Time 0.716 (0.794) Data 0.001 (0.003) Loss 1.8415 (2.0678) Prec@1 48.125 (46.895) Prec@5 80.625 (77.369) Epoch: [39][2240/11272] Time 0.857 (0.794) Data 0.002 (0.003) Loss 2.2042 (2.0683) Prec@1 45.000 (46.880) Prec@5 75.000 (77.365) Epoch: [39][2250/11272] Time 0.855 (0.794) Data 0.001 (0.003) Loss 2.0748 (2.0685) Prec@1 43.750 (46.870) Prec@5 75.000 (77.356) Epoch: [39][2260/11272] Time 0.744 (0.794) Data 0.002 (0.003) Loss 1.9626 (2.0687) Prec@1 53.125 (46.867) Prec@5 77.500 (77.351) Epoch: [39][2270/11272] Time 0.740 (0.794) Data 0.002 (0.003) Loss 2.0849 (2.0689) Prec@1 45.625 (46.866) Prec@5 75.000 (77.353) Epoch: [39][2280/11272] Time 0.833 (0.794) Data 0.001 (0.003) Loss 2.0944 (2.0689) Prec@1 43.125 (46.861) Prec@5 77.500 (77.354) Epoch: [39][2290/11272] Time 0.824 (0.794) Data 0.002 (0.003) Loss 2.1206 (2.0690) Prec@1 46.875 (46.853) Prec@5 75.000 (77.351) Epoch: [39][2300/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 2.1059 (2.0690) Prec@1 41.250 (46.849) Prec@5 78.125 (77.355) Epoch: [39][2310/11272] Time 0.743 (0.794) Data 0.002 (0.003) Loss 1.9490 (2.0691) Prec@1 49.375 (46.858) Prec@5 78.125 (77.356) Epoch: [39][2320/11272] Time 0.843 (0.794) Data 0.002 (0.003) Loss 1.9229 (2.0691) Prec@1 46.875 (46.859) Prec@5 83.125 (77.355) Epoch: [39][2330/11272] Time 0.849 (0.794) Data 0.002 (0.003) Loss 1.8482 (2.0689) Prec@1 47.500 (46.859) Prec@5 83.125 (77.352) Epoch: [39][2340/11272] Time 0.746 (0.794) Data 0.002 (0.003) Loss 2.0487 (2.0689) Prec@1 47.500 (46.860) Prec@5 71.875 (77.352) Epoch: [39][2350/11272] Time 0.885 (0.794) Data 0.002 (0.003) Loss 2.0351 (2.0688) Prec@1 50.000 (46.863) Prec@5 74.375 (77.354) Epoch: [39][2360/11272] Time 0.828 (0.794) Data 0.002 (0.003) Loss 2.0978 (2.0688) Prec@1 48.750 (46.861) Prec@5 76.250 (77.357) Epoch: [39][2370/11272] Time 0.711 (0.794) Data 0.001 (0.003) Loss 2.5143 (2.0691) Prec@1 35.625 (46.856) Prec@5 71.250 (77.351) Epoch: [39][2380/11272] Time 0.738 (0.794) Data 0.001 (0.003) Loss 2.0173 (2.0692) Prec@1 46.875 (46.856) Prec@5 76.875 (77.347) Epoch: [39][2390/11272] Time 0.847 (0.794) Data 0.001 (0.003) Loss 1.9728 (2.0691) Prec@1 48.125 (46.854) Prec@5 77.500 (77.347) Epoch: [39][2400/11272] Time 0.842 (0.794) Data 0.002 (0.003) Loss 2.1521 (2.0689) Prec@1 44.375 (46.860) Prec@5 76.875 (77.349) Epoch: [39][2410/11272] Time 0.746 (0.794) Data 0.002 (0.003) Loss 2.2545 (2.0689) Prec@1 43.750 (46.853) Prec@5 73.750 (77.351) Epoch: [39][2420/11272] Time 0.720 (0.794) Data 0.001 (0.003) Loss 2.3047 (2.0689) Prec@1 42.500 (46.853) Prec@5 68.125 (77.353) Epoch: [39][2430/11272] Time 0.841 (0.794) Data 0.001 (0.003) Loss 2.1964 (2.0689) Prec@1 44.375 (46.851) Prec@5 78.125 (77.350) Epoch: [39][2440/11272] Time 0.862 (0.794) Data 0.002 (0.003) Loss 1.9952 (2.0691) Prec@1 43.125 (46.845) Prec@5 79.375 (77.345) Epoch: [39][2450/11272] Time 0.756 (0.794) Data 0.002 (0.003) Loss 2.1988 (2.0694) Prec@1 40.625 (46.840) Prec@5 76.875 (77.342) Epoch: [39][2460/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 1.9661 (2.0694) Prec@1 53.750 (46.836) Prec@5 75.000 (77.342) Epoch: [39][2470/11272] Time 0.870 (0.794) Data 0.002 (0.003) Loss 1.8075 (2.0694) Prec@1 53.125 (46.837) Prec@5 82.500 (77.343) Epoch: [39][2480/11272] Time 0.722 (0.794) Data 0.001 (0.003) Loss 2.2252 (2.0692) Prec@1 43.750 (46.837) Prec@5 74.375 (77.347) Epoch: [39][2490/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 1.9161 (2.0692) Prec@1 46.875 (46.835) Prec@5 79.375 (77.348) Epoch: [39][2500/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.2804 (2.0693) Prec@1 40.000 (46.834) Prec@5 73.750 (77.342) Epoch: [39][2510/11272] Time 0.900 (0.794) Data 0.002 (0.002) Loss 2.0828 (2.0694) Prec@1 45.625 (46.827) Prec@5 73.750 (77.338) Epoch: [39][2520/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 1.5670 (2.0693) Prec@1 60.000 (46.829) Prec@5 85.000 (77.336) Epoch: [39][2530/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.1867 (2.0698) Prec@1 44.375 (46.815) Prec@5 74.375 (77.329) Epoch: [39][2540/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.4552 (2.0698) Prec@1 33.750 (46.817) Prec@5 66.875 (77.330) Epoch: [39][2550/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.1210 (2.0699) Prec@1 45.625 (46.815) Prec@5 78.125 (77.331) Epoch: [39][2560/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.2295 (2.0699) Prec@1 47.500 (46.814) Prec@5 75.625 (77.330) Epoch: [39][2570/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.2316 (2.0698) Prec@1 46.250 (46.816) Prec@5 71.875 (77.335) Epoch: [39][2580/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.2033 (2.0699) Prec@1 46.250 (46.821) Prec@5 74.375 (77.333) Epoch: [39][2590/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.1481 (2.0697) Prec@1 45.625 (46.824) Prec@5 74.375 (77.335) Epoch: [39][2600/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 2.0071 (2.0697) Prec@1 46.875 (46.822) Prec@5 75.000 (77.334) Epoch: [39][2610/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.0652 (2.0697) Prec@1 46.875 (46.823) Prec@5 80.000 (77.334) Epoch: [39][2620/11272] Time 0.806 (0.794) Data 0.001 (0.002) Loss 2.2101 (2.0700) Prec@1 42.500 (46.814) Prec@5 77.500 (77.328) Epoch: [39][2630/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.2323 (2.0703) Prec@1 38.750 (46.808) Prec@5 75.625 (77.321) Epoch: [39][2640/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0747 (2.0704) Prec@1 50.000 (46.810) Prec@5 78.750 (77.319) Epoch: [39][2650/11272] Time 0.896 (0.794) Data 0.002 (0.002) Loss 1.9931 (2.0704) Prec@1 49.375 (46.811) Prec@5 80.000 (77.321) Epoch: [39][2660/11272] Time 0.818 (0.794) Data 0.001 (0.002) Loss 2.0365 (2.0704) Prec@1 46.875 (46.812) Prec@5 80.625 (77.321) Epoch: [39][2670/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.2780 (2.0705) Prec@1 41.875 (46.815) Prec@5 75.000 (77.319) Epoch: [39][2680/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0625 (2.0703) Prec@1 48.750 (46.824) Prec@5 79.375 (77.323) Epoch: [39][2690/11272] Time 0.871 (0.794) Data 0.001 (0.002) Loss 2.1265 (2.0704) Prec@1 39.375 (46.825) Prec@5 76.875 (77.320) Epoch: [39][2700/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.8433 (2.0702) Prec@1 53.125 (46.833) Prec@5 77.500 (77.321) Epoch: [39][2710/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 2.0267 (2.0702) Prec@1 41.250 (46.830) Prec@5 77.500 (77.323) Epoch: [39][2720/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.0215 (2.0701) Prec@1 50.625 (46.829) Prec@5 80.000 (77.327) Epoch: [39][2730/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.0546 (2.0702) Prec@1 47.500 (46.824) Prec@5 78.750 (77.327) Epoch: [39][2740/11272] Time 0.736 (0.794) Data 0.003 (0.002) Loss 2.1503 (2.0704) Prec@1 44.375 (46.820) Prec@5 73.750 (77.329) Epoch: [39][2750/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8145 (2.0700) Prec@1 54.375 (46.828) Prec@5 80.625 (77.335) Epoch: [39][2760/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.0737 (2.0699) Prec@1 45.000 (46.832) Prec@5 75.000 (77.335) Epoch: [39][2770/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.8327 (2.0696) Prec@1 53.125 (46.838) Prec@5 79.375 (77.338) Epoch: [39][2780/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.9687 (2.0695) Prec@1 47.500 (46.833) Prec@5 81.250 (77.338) Epoch: [39][2790/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 1.9895 (2.0695) Prec@1 45.625 (46.829) Prec@5 76.250 (77.332) Epoch: [39][2800/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 2.0503 (2.0695) Prec@1 48.750 (46.830) Prec@5 80.625 (77.335) Epoch: [39][2810/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.1900 (2.0695) Prec@1 41.250 (46.831) Prec@5 72.500 (77.336) Epoch: [39][2820/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.0108 (2.0697) Prec@1 50.625 (46.827) Prec@5 80.000 (77.330) Epoch: [39][2830/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.0816 (2.0698) Prec@1 51.250 (46.829) Prec@5 78.125 (77.330) Epoch: [39][2840/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.9353 (2.0698) Prec@1 47.500 (46.824) Prec@5 78.125 (77.328) Epoch: [39][2850/11272] Time 0.803 (0.794) Data 0.001 (0.002) Loss 2.1612 (2.0699) Prec@1 44.375 (46.827) Prec@5 76.250 (77.329) Epoch: [39][2860/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.9901 (2.0698) Prec@1 49.375 (46.829) Prec@5 78.125 (77.331) Epoch: [39][2870/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 2.1512 (2.0696) Prec@1 43.750 (46.831) Prec@5 74.375 (77.335) Epoch: [39][2880/11272] Time 0.874 (0.794) Data 0.001 (0.002) Loss 1.9221 (2.0696) Prec@1 47.500 (46.829) Prec@5 78.750 (77.339) Epoch: [39][2890/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.1259 (2.0697) Prec@1 43.750 (46.830) Prec@5 78.125 (77.335) Epoch: [39][2900/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.8932 (2.0698) Prec@1 54.375 (46.822) Prec@5 82.500 (77.336) Epoch: [39][2910/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.9252 (2.0697) Prec@1 50.000 (46.826) Prec@5 83.750 (77.340) Epoch: [39][2920/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.0017 (2.0696) Prec@1 44.375 (46.829) Prec@5 78.750 (77.342) Epoch: [39][2930/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.2086 (2.0695) Prec@1 42.500 (46.830) Prec@5 73.750 (77.343) Epoch: [39][2940/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 1.9346 (2.0696) Prec@1 48.750 (46.835) Prec@5 76.875 (77.340) Epoch: [39][2950/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.2457 (2.0698) Prec@1 43.125 (46.829) Prec@5 75.000 (77.336) Epoch: [39][2960/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.3039 (2.0696) Prec@1 46.875 (46.833) Prec@5 73.750 (77.340) Epoch: [39][2970/11272] Time 0.695 (0.794) Data 0.001 (0.002) Loss 2.0376 (2.0693) Prec@1 54.375 (46.842) Prec@5 75.000 (77.343) Epoch: [39][2980/11272] Time 0.764 (0.794) Data 0.002 (0.002) Loss 2.1276 (2.0693) Prec@1 43.125 (46.844) Prec@5 76.875 (77.344) Epoch: [39][2990/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.0373 (2.0693) Prec@1 44.375 (46.842) Prec@5 76.250 (77.345) Epoch: [39][3000/11272] Time 0.727 (0.794) Data 0.003 (0.002) Loss 2.1279 (2.0694) Prec@1 45.000 (46.842) Prec@5 79.375 (77.345) Epoch: [39][3010/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1497 (2.0694) Prec@1 50.625 (46.848) Prec@5 76.250 (77.344) Epoch: [39][3020/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0817 (2.0697) Prec@1 52.500 (46.845) Prec@5 77.500 (77.336) Epoch: [39][3030/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.2176 (2.0695) Prec@1 40.625 (46.849) Prec@5 73.125 (77.341) Epoch: [39][3040/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.2447 (2.0697) Prec@1 46.250 (46.850) Prec@5 73.125 (77.337) Epoch: [39][3050/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.2001 (2.0700) Prec@1 43.750 (46.842) Prec@5 76.875 (77.332) Epoch: [39][3060/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.1774 (2.0700) Prec@1 41.875 (46.843) Prec@5 74.375 (77.331) Epoch: [39][3070/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.0408 (2.0699) Prec@1 46.875 (46.841) Prec@5 78.125 (77.330) Epoch: [39][3080/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 1.9814 (2.0698) Prec@1 46.875 (46.844) Prec@5 78.750 (77.332) Epoch: [39][3090/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.8778 (2.0695) Prec@1 52.500 (46.853) Prec@5 83.750 (77.336) Epoch: [39][3100/11272] Time 0.881 (0.794) Data 0.002 (0.002) Loss 2.0252 (2.0695) Prec@1 45.000 (46.852) Prec@5 80.000 (77.336) Epoch: [39][3110/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.0894 (2.0696) Prec@1 48.125 (46.848) Prec@5 78.750 (77.333) Epoch: [39][3120/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.8343 (2.0697) Prec@1 54.375 (46.850) Prec@5 78.750 (77.328) Epoch: [39][3130/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.3068 (2.0698) Prec@1 43.750 (46.850) Prec@5 72.500 (77.323) Epoch: [39][3140/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.2107 (2.0698) Prec@1 42.500 (46.851) Prec@5 73.750 (77.324) Epoch: [39][3150/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 2.2675 (2.0700) Prec@1 45.000 (46.850) Prec@5 74.375 (77.321) Epoch: [39][3160/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.9203 (2.0698) Prec@1 50.000 (46.853) Prec@5 80.000 (77.325) Epoch: [39][3170/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.8890 (2.0697) Prec@1 53.125 (46.861) Prec@5 78.750 (77.325) Epoch: [39][3180/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.2067 (2.0698) Prec@1 42.500 (46.862) Prec@5 76.250 (77.323) Epoch: [39][3190/11272] Time 0.781 (0.794) Data 0.002 (0.002) Loss 2.0289 (2.0698) Prec@1 44.375 (46.861) Prec@5 73.125 (77.320) Epoch: [39][3200/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.9963 (2.0700) Prec@1 50.625 (46.863) Prec@5 80.000 (77.320) Epoch: [39][3210/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 1.9456 (2.0697) Prec@1 49.375 (46.864) Prec@5 77.500 (77.323) Epoch: [39][3220/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 1.9917 (2.0699) Prec@1 45.000 (46.863) Prec@5 77.500 (77.319) Epoch: [39][3230/11272] Time 0.758 (0.794) Data 0.001 (0.002) Loss 1.9724 (2.0699) Prec@1 47.500 (46.862) Prec@5 75.625 (77.317) Epoch: [39][3240/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.9655 (2.0696) Prec@1 53.125 (46.867) Prec@5 79.375 (77.325) Epoch: [39][3250/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.1538 (2.0697) Prec@1 44.375 (46.865) Prec@5 73.750 (77.325) Epoch: [39][3260/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.3323 (2.0696) Prec@1 43.125 (46.864) Prec@5 70.625 (77.326) Epoch: [39][3270/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 1.9494 (2.0696) Prec@1 47.500 (46.864) Prec@5 76.875 (77.325) Epoch: [39][3280/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.2918 (2.0698) Prec@1 46.250 (46.855) Prec@5 70.625 (77.316) Epoch: [39][3290/11272] Time 0.899 (0.794) Data 0.002 (0.002) Loss 2.0336 (2.0699) Prec@1 48.750 (46.858) Prec@5 77.500 (77.314) Epoch: [39][3300/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.9363 (2.0700) Prec@1 51.875 (46.856) Prec@5 77.500 (77.314) Epoch: [39][3310/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0763 (2.0702) Prec@1 48.125 (46.859) Prec@5 75.000 (77.311) Epoch: [39][3320/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.8324 (2.0700) Prec@1 51.250 (46.864) Prec@5 80.625 (77.313) Epoch: [39][3330/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.1078 (2.0702) Prec@1 51.875 (46.862) Prec@5 76.875 (77.311) Epoch: [39][3340/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 1.8607 (2.0700) Prec@1 51.875 (46.865) Prec@5 80.625 (77.313) Epoch: [39][3350/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 1.9899 (2.0701) Prec@1 44.375 (46.863) Prec@5 82.500 (77.315) Epoch: [39][3360/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.8576 (2.0700) Prec@1 51.250 (46.866) Prec@5 81.875 (77.318) Epoch: [39][3370/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 1.9846 (2.0700) Prec@1 46.250 (46.864) Prec@5 78.750 (77.318) Epoch: [39][3380/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 2.5258 (2.0700) Prec@1 43.125 (46.866) Prec@5 70.625 (77.320) Epoch: [39][3390/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.1400 (2.0700) Prec@1 45.625 (46.865) Prec@5 76.250 (77.322) Epoch: [39][3400/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.3892 (2.0703) Prec@1 40.625 (46.860) Prec@5 70.625 (77.317) Epoch: [39][3410/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.3103 (2.0704) Prec@1 41.875 (46.858) Prec@5 73.750 (77.318) Epoch: [39][3420/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.0652 (2.0704) Prec@1 45.000 (46.858) Prec@5 79.375 (77.318) Epoch: [39][3430/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1149 (2.0705) Prec@1 47.500 (46.862) Prec@5 75.625 (77.318) Epoch: [39][3440/11272] Time 0.831 (0.794) Data 0.003 (0.002) Loss 2.3742 (2.0705) Prec@1 40.625 (46.861) Prec@5 70.625 (77.316) Epoch: [39][3450/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 1.9478 (2.0705) Prec@1 49.375 (46.867) Prec@5 80.000 (77.316) Epoch: [39][3460/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9919 (2.0705) Prec@1 51.875 (46.869) Prec@5 78.125 (77.319) Epoch: [39][3470/11272] Time 0.882 (0.794) Data 0.002 (0.002) Loss 2.0592 (2.0705) Prec@1 45.625 (46.867) Prec@5 79.375 (77.320) Epoch: [39][3480/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.1288 (2.0706) Prec@1 46.250 (46.862) Prec@5 75.625 (77.318) Epoch: [39][3490/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.0330 (2.0705) Prec@1 46.875 (46.865) Prec@5 79.375 (77.322) Epoch: [39][3500/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.5248 (2.0704) Prec@1 37.500 (46.867) Prec@5 66.875 (77.323) Epoch: [39][3510/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 1.8460 (2.0705) Prec@1 52.500 (46.863) Prec@5 82.500 (77.321) Epoch: [39][3520/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.2318 (2.0706) Prec@1 46.250 (46.864) Prec@5 75.000 (77.320) Epoch: [39][3530/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0800 (2.0706) Prec@1 45.000 (46.862) Prec@5 76.875 (77.319) Epoch: [39][3540/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.2364 (2.0708) Prec@1 38.125 (46.859) Prec@5 75.625 (77.318) Epoch: [39][3550/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.9625 (2.0706) Prec@1 54.375 (46.864) Prec@5 77.500 (77.322) Epoch: [39][3560/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 2.0305 (2.0706) Prec@1 44.375 (46.862) Prec@5 77.500 (77.320) Epoch: [39][3570/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.1217 (2.0705) Prec@1 43.125 (46.862) Prec@5 77.500 (77.324) Epoch: [39][3580/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.9554 (2.0703) Prec@1 46.875 (46.865) Prec@5 80.625 (77.327) Epoch: [39][3590/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.9902 (2.0702) Prec@1 46.875 (46.867) Prec@5 78.125 (77.328) Epoch: [39][3600/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.8788 (2.0703) Prec@1 50.625 (46.864) Prec@5 80.000 (77.326) Epoch: [39][3610/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.1617 (2.0704) Prec@1 47.500 (46.862) Prec@5 75.625 (77.321) Epoch: [39][3620/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.2842 (2.0704) Prec@1 48.750 (46.864) Prec@5 71.250 (77.323) Epoch: [39][3630/11272] Time 0.891 (0.794) Data 0.001 (0.002) Loss 2.1748 (2.0705) Prec@1 45.625 (46.866) Prec@5 78.750 (77.321) Epoch: [39][3640/11272] Time 0.771 (0.794) Data 0.001 (0.002) Loss 2.1228 (2.0706) Prec@1 50.000 (46.862) Prec@5 74.375 (77.318) Epoch: [39][3650/11272] Time 0.797 (0.794) Data 0.001 (0.002) Loss 1.8232 (2.0707) Prec@1 48.750 (46.860) Prec@5 83.125 (77.317) Epoch: [39][3660/11272] Time 0.898 (0.794) Data 0.002 (0.002) Loss 2.1760 (2.0706) Prec@1 43.750 (46.861) Prec@5 74.375 (77.319) Epoch: [39][3670/11272] Time 0.728 (0.794) Data 0.003 (0.002) Loss 2.1091 (2.0705) Prec@1 48.750 (46.862) Prec@5 78.125 (77.317) Epoch: [39][3680/11272] Time 0.794 (0.794) Data 0.002 (0.002) Loss 1.9581 (2.0705) Prec@1 50.625 (46.863) Prec@5 81.875 (77.317) Epoch: [39][3690/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.2446 (2.0705) Prec@1 45.625 (46.865) Prec@5 74.375 (77.317) Epoch: [39][3700/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0625 (2.0703) Prec@1 47.500 (46.869) Prec@5 80.000 (77.320) Epoch: [39][3710/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 2.0566 (2.0703) Prec@1 44.375 (46.868) Prec@5 76.250 (77.318) Epoch: [39][3720/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.9083 (2.0702) Prec@1 51.250 (46.870) Prec@5 81.875 (77.325) Epoch: [39][3730/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.1066 (2.0702) Prec@1 45.625 (46.874) Prec@5 76.250 (77.327) Epoch: [39][3740/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.1877 (2.0701) Prec@1 45.000 (46.871) Prec@5 75.625 (77.331) Epoch: [39][3750/11272] Time 0.803 (0.794) Data 0.002 (0.002) Loss 1.9965 (2.0701) Prec@1 48.125 (46.874) Prec@5 78.125 (77.335) Epoch: [39][3760/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.2549 (2.0702) Prec@1 46.875 (46.873) Prec@5 75.000 (77.336) Epoch: [39][3770/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.3144 (2.0705) Prec@1 38.125 (46.864) Prec@5 68.750 (77.327) Epoch: [39][3780/11272] Time 0.860 (0.794) Data 0.001 (0.002) Loss 1.9792 (2.0705) Prec@1 46.875 (46.865) Prec@5 75.625 (77.330) Epoch: [39][3790/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.0544 (2.0706) Prec@1 48.750 (46.867) Prec@5 76.875 (77.327) Epoch: [39][3800/11272] Time 0.812 (0.794) Data 0.002 (0.002) Loss 2.1379 (2.0708) Prec@1 45.625 (46.863) Prec@5 75.625 (77.326) Epoch: [39][3810/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.0438 (2.0709) Prec@1 48.125 (46.863) Prec@5 78.125 (77.326) Epoch: [39][3820/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1807 (2.0710) Prec@1 44.375 (46.861) Prec@5 76.250 (77.321) Epoch: [39][3830/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0262 (2.0711) Prec@1 43.125 (46.859) Prec@5 83.125 (77.320) Epoch: [39][3840/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 1.8960 (2.0709) Prec@1 47.500 (46.865) Prec@5 80.000 (77.322) Epoch: [39][3850/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.0758 (2.0711) Prec@1 49.375 (46.863) Prec@5 73.750 (77.320) Epoch: [39][3860/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0490 (2.0709) Prec@1 41.875 (46.864) Prec@5 81.250 (77.324) Epoch: [39][3870/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0928 (2.0707) Prec@1 44.375 (46.869) Prec@5 78.750 (77.325) Epoch: [39][3880/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.3722 (2.0707) Prec@1 38.125 (46.867) Prec@5 70.000 (77.328) Epoch: [39][3890/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.9342 (2.0706) Prec@1 51.250 (46.867) Prec@5 80.000 (77.330) Epoch: [39][3900/11272] Time 0.775 (0.794) Data 0.001 (0.002) Loss 2.4196 (2.0706) Prec@1 43.750 (46.868) Prec@5 72.500 (77.331) Epoch: [39][3910/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.1978 (2.0704) Prec@1 44.375 (46.869) Prec@5 72.500 (77.334) Epoch: [39][3920/11272] Time 0.849 (0.795) Data 0.001 (0.002) Loss 2.0763 (2.0702) Prec@1 43.750 (46.871) Prec@5 79.375 (77.339) Epoch: [39][3930/11272] Time 0.732 (0.795) Data 0.003 (0.002) Loss 2.0231 (2.0702) Prec@1 51.250 (46.871) Prec@5 78.750 (77.339) Epoch: [39][3940/11272] Time 0.704 (0.795) Data 0.001 (0.002) Loss 2.0814 (2.0703) Prec@1 43.125 (46.871) Prec@5 73.125 (77.339) Epoch: [39][3950/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.2317 (2.0705) Prec@1 47.500 (46.870) Prec@5 73.750 (77.337) Epoch: [39][3960/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 2.0254 (2.0704) Prec@1 47.500 (46.874) Prec@5 81.250 (77.335) Epoch: [39][3970/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.3399 (2.0704) Prec@1 42.500 (46.873) Prec@5 73.750 (77.335) Epoch: [39][3980/11272] Time 0.707 (0.795) Data 0.001 (0.002) Loss 2.3746 (2.0706) Prec@1 41.250 (46.870) Prec@5 71.875 (77.331) Epoch: [39][3990/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.9562 (2.0706) Prec@1 46.875 (46.870) Prec@5 81.250 (77.334) Epoch: [39][4000/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 1.9895 (2.0708) Prec@1 51.875 (46.864) Prec@5 78.750 (77.330) Epoch: [39][4010/11272] Time 0.705 (0.795) Data 0.001 (0.002) Loss 2.2539 (2.0710) Prec@1 40.625 (46.860) Prec@5 70.625 (77.325) Epoch: [39][4020/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.0118 (2.0713) Prec@1 50.000 (46.858) Prec@5 78.125 (77.318) Epoch: [39][4030/11272] Time 0.849 (0.795) Data 0.001 (0.002) Loss 2.1533 (2.0713) Prec@1 41.250 (46.858) Prec@5 75.625 (77.316) Epoch: [39][4040/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 1.8554 (2.0716) Prec@1 54.375 (46.853) Prec@5 80.625 (77.311) Epoch: [39][4050/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9759 (2.0717) Prec@1 50.625 (46.849) Prec@5 78.750 (77.309) Epoch: [39][4060/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0113 (2.0717) Prec@1 47.500 (46.851) Prec@5 78.750 (77.308) Epoch: [39][4070/11272] Time 0.874 (0.794) Data 0.002 (0.002) Loss 2.0617 (2.0718) Prec@1 46.250 (46.848) Prec@5 78.125 (77.308) Epoch: [39][4080/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 2.0142 (2.0718) Prec@1 44.375 (46.847) Prec@5 77.500 (77.310) Epoch: [39][4090/11272] Time 0.760 (0.795) Data 0.002 (0.002) Loss 1.9029 (2.0719) Prec@1 51.875 (46.848) Prec@5 81.250 (77.311) Epoch: [39][4100/11272] Time 0.926 (0.795) Data 0.002 (0.002) Loss 1.9088 (2.0720) Prec@1 54.375 (46.847) Prec@5 80.625 (77.312) Epoch: [39][4110/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 1.9511 (2.0719) Prec@1 47.500 (46.848) Prec@5 80.000 (77.315) Epoch: [39][4120/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.9611 (2.0718) Prec@1 46.250 (46.848) Prec@5 80.000 (77.319) Epoch: [39][4130/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 2.0448 (2.0719) Prec@1 45.625 (46.845) Prec@5 72.500 (77.314) Epoch: [39][4140/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.0434 (2.0719) Prec@1 49.375 (46.847) Prec@5 78.125 (77.315) Epoch: [39][4150/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.8239 (2.0717) Prec@1 51.250 (46.852) Prec@5 83.750 (77.318) Epoch: [39][4160/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.8948 (2.0718) Prec@1 51.875 (46.849) Prec@5 77.500 (77.316) Epoch: [39][4170/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0382 (2.0718) Prec@1 45.000 (46.848) Prec@5 80.625 (77.318) Epoch: [39][4180/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 2.2511 (2.0717) Prec@1 43.750 (46.851) Prec@5 78.125 (77.320) Epoch: [39][4190/11272] Time 0.919 (0.795) Data 0.002 (0.002) Loss 1.6941 (2.0714) Prec@1 56.250 (46.856) Prec@5 86.250 (77.327) Epoch: [39][4200/11272] Time 0.750 (0.795) Data 0.002 (0.002) Loss 2.1815 (2.0714) Prec@1 45.625 (46.858) Prec@5 76.250 (77.328) Epoch: [39][4210/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.9659 (2.0714) Prec@1 49.375 (46.859) Prec@5 80.625 (77.328) Epoch: [39][4220/11272] Time 0.832 (0.795) Data 0.001 (0.002) Loss 2.0731 (2.0712) Prec@1 46.875 (46.867) Prec@5 78.750 (77.332) Epoch: [39][4230/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1003 (2.0712) Prec@1 47.500 (46.866) Prec@5 76.250 (77.333) Epoch: [39][4240/11272] Time 0.761 (0.794) Data 0.001 (0.002) Loss 2.1524 (2.0713) Prec@1 44.375 (46.866) Prec@5 71.875 (77.330) Epoch: [39][4250/11272] Time 0.911 (0.794) Data 0.001 (0.002) Loss 2.0625 (2.0713) Prec@1 47.500 (46.864) Prec@5 76.250 (77.329) Epoch: [39][4260/11272] Time 0.883 (0.795) Data 0.001 (0.002) Loss 1.9882 (2.0712) Prec@1 50.000 (46.870) Prec@5 77.500 (77.332) Epoch: [39][4270/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.2244 (2.0712) Prec@1 48.750 (46.867) Prec@5 72.500 (77.331) Epoch: [39][4280/11272] Time 0.784 (0.795) Data 0.002 (0.002) Loss 1.9539 (2.0712) Prec@1 50.625 (46.868) Prec@5 77.500 (77.331) Epoch: [39][4290/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.1543 (2.0710) Prec@1 45.625 (46.871) Prec@5 74.375 (77.334) Epoch: [39][4300/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 2.0505 (2.0710) Prec@1 49.375 (46.870) Prec@5 73.750 (77.333) Epoch: [39][4310/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 2.1994 (2.0712) Prec@1 45.000 (46.866) Prec@5 73.125 (77.328) Epoch: [39][4320/11272] Time 0.863 (0.795) Data 0.001 (0.002) Loss 2.0301 (2.0712) Prec@1 48.750 (46.864) Prec@5 79.375 (77.326) Epoch: [39][4330/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.0004 (2.0714) Prec@1 44.375 (46.859) Prec@5 79.375 (77.324) Epoch: [39][4340/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.1068 (2.0715) Prec@1 48.750 (46.859) Prec@5 74.375 (77.324) Epoch: [39][4350/11272] Time 0.752 (0.795) Data 0.001 (0.002) Loss 1.9769 (2.0713) Prec@1 46.875 (46.861) Prec@5 76.875 (77.326) Epoch: [39][4360/11272] Time 0.851 (0.795) Data 0.002 (0.002) Loss 1.9509 (2.0712) Prec@1 45.625 (46.859) Prec@5 80.000 (77.330) Epoch: [39][4370/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.0750 (2.0713) Prec@1 50.000 (46.856) Prec@5 76.250 (77.330) Epoch: [39][4380/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 1.9819 (2.0713) Prec@1 45.000 (46.854) Prec@5 78.750 (77.331) Epoch: [39][4390/11272] Time 0.769 (0.795) Data 0.002 (0.002) Loss 1.8682 (2.0714) Prec@1 53.125 (46.854) Prec@5 77.500 (77.329) Epoch: [39][4400/11272] Time 0.824 (0.795) Data 0.002 (0.002) Loss 2.0408 (2.0715) Prec@1 46.250 (46.853) Prec@5 78.125 (77.327) Epoch: [39][4410/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.0087 (2.0715) Prec@1 48.750 (46.856) Prec@5 79.375 (77.327) Epoch: [39][4420/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.1641 (2.0717) Prec@1 45.625 (46.852) Prec@5 75.625 (77.324) Epoch: [39][4430/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.1236 (2.0715) Prec@1 48.125 (46.857) Prec@5 76.875 (77.326) Epoch: [39][4440/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 2.1204 (2.0716) Prec@1 48.750 (46.856) Prec@5 78.125 (77.323) Epoch: [39][4450/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 1.9076 (2.0716) Prec@1 53.125 (46.855) Prec@5 81.250 (77.324) Epoch: [39][4460/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.0151 (2.0715) Prec@1 46.875 (46.856) Prec@5 76.250 (77.325) Epoch: [39][4470/11272] Time 0.890 (0.795) Data 0.002 (0.002) Loss 2.0918 (2.0714) Prec@1 45.625 (46.860) Prec@5 75.625 (77.325) Epoch: [39][4480/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 2.1542 (2.0716) Prec@1 45.000 (46.858) Prec@5 80.000 (77.323) Epoch: [39][4490/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.9879 (2.0716) Prec@1 49.375 (46.859) Prec@5 78.750 (77.322) Epoch: [39][4500/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 2.0286 (2.0716) Prec@1 40.625 (46.856) Prec@5 79.375 (77.324) Epoch: [39][4510/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 1.9235 (2.0714) Prec@1 49.375 (46.860) Prec@5 78.125 (77.327) Epoch: [39][4520/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.2635 (2.0714) Prec@1 38.750 (46.862) Prec@5 71.875 (77.329) Epoch: [39][4530/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.9570 (2.0716) Prec@1 46.875 (46.857) Prec@5 76.250 (77.326) Epoch: [39][4540/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.0079 (2.0716) Prec@1 46.250 (46.857) Prec@5 76.250 (77.324) Epoch: [39][4550/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 2.1133 (2.0717) Prec@1 50.625 (46.859) Prec@5 75.625 (77.321) Epoch: [39][4560/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.0904 (2.0717) Prec@1 45.000 (46.862) Prec@5 78.125 (77.322) Epoch: [39][4570/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 2.0286 (2.0715) Prec@1 49.375 (46.865) Prec@5 78.750 (77.323) Epoch: [39][4580/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.0607 (2.0715) Prec@1 47.500 (46.866) Prec@5 78.750 (77.324) Epoch: [39][4590/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.1312 (2.0715) Prec@1 46.250 (46.866) Prec@5 76.250 (77.326) Epoch: [39][4600/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.1377 (2.0716) Prec@1 45.000 (46.863) Prec@5 74.375 (77.324) Epoch: [39][4610/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 2.3221 (2.0716) Prec@1 40.625 (46.863) Prec@5 75.000 (77.328) Epoch: [39][4620/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 1.9918 (2.0716) Prec@1 45.000 (46.865) Prec@5 81.250 (77.329) Epoch: [39][4630/11272] Time 0.883 (0.795) Data 0.002 (0.002) Loss 2.2990 (2.0717) Prec@1 45.000 (46.865) Prec@5 70.625 (77.328) Epoch: [39][4640/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.3731 (2.0718) Prec@1 39.375 (46.865) Prec@5 74.375 (77.325) Epoch: [39][4650/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 2.0346 (2.0720) Prec@1 46.875 (46.860) Prec@5 76.875 (77.323) Epoch: [39][4660/11272] Time 0.848 (0.795) Data 0.002 (0.002) Loss 2.1741 (2.0721) Prec@1 43.750 (46.855) Prec@5 78.125 (77.323) Epoch: [39][4670/11272] Time 0.861 (0.795) Data 0.002 (0.002) Loss 2.0282 (2.0722) Prec@1 48.750 (46.855) Prec@5 75.000 (77.320) Epoch: [39][4680/11272] Time 0.717 (0.795) Data 0.001 (0.002) Loss 1.9280 (2.0723) Prec@1 53.125 (46.854) Prec@5 79.375 (77.320) Epoch: [39][4690/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 2.1995 (2.0725) Prec@1 43.750 (46.849) Prec@5 71.250 (77.315) Epoch: [39][4700/11272] Time 0.832 (0.795) Data 0.001 (0.002) Loss 2.1615 (2.0727) Prec@1 43.750 (46.849) Prec@5 71.875 (77.310) Epoch: [39][4710/11272] Time 0.858 (0.795) Data 0.002 (0.002) Loss 2.1646 (2.0726) Prec@1 47.500 (46.853) Prec@5 74.375 (77.313) Epoch: [39][4720/11272] Time 0.775 (0.795) Data 0.002 (0.002) Loss 2.2788 (2.0726) Prec@1 51.250 (46.858) Prec@5 73.125 (77.313) Epoch: [39][4730/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 1.8546 (2.0727) Prec@1 49.375 (46.856) Prec@5 78.750 (77.314) Epoch: [39][4740/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 1.9818 (2.0727) Prec@1 49.375 (46.851) Prec@5 78.750 (77.315) Epoch: [39][4750/11272] Time 0.745 (0.795) Data 0.002 (0.002) Loss 1.9903 (2.0728) Prec@1 52.500 (46.851) Prec@5 83.750 (77.313) Epoch: [39][4760/11272] Time 0.709 (0.795) Data 0.002 (0.002) Loss 2.0363 (2.0729) Prec@1 51.875 (46.852) Prec@5 76.875 (77.312) Epoch: [39][4770/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 2.3820 (2.0729) Prec@1 37.500 (46.848) Prec@5 75.625 (77.312) Epoch: [39][4780/11272] Time 0.875 (0.795) Data 0.002 (0.002) Loss 2.0128 (2.0729) Prec@1 53.125 (46.849) Prec@5 78.750 (77.314) Epoch: [39][4790/11272] Time 0.749 (0.795) Data 0.001 (0.002) Loss 1.8268 (2.0729) Prec@1 48.750 (46.850) Prec@5 79.375 (77.311) Epoch: [39][4800/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 2.3444 (2.0729) Prec@1 43.750 (46.852) Prec@5 71.250 (77.310) Epoch: [39][4810/11272] Time 0.885 (0.795) Data 0.002 (0.002) Loss 1.9217 (2.0728) Prec@1 48.125 (46.857) Prec@5 81.875 (77.315) Epoch: [39][4820/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.2430 (2.0728) Prec@1 43.750 (46.855) Prec@5 73.125 (77.319) Epoch: [39][4830/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.0825 (2.0728) Prec@1 45.000 (46.853) Prec@5 79.375 (77.321) Epoch: [39][4840/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 2.0346 (2.0728) Prec@1 49.375 (46.854) Prec@5 78.125 (77.321) Epoch: [39][4850/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 1.9256 (2.0728) Prec@1 47.500 (46.851) Prec@5 79.375 (77.321) Epoch: [39][4860/11272] Time 0.731 (0.795) Data 0.003 (0.002) Loss 1.9838 (2.0728) Prec@1 50.625 (46.850) Prec@5 78.125 (77.322) Epoch: [39][4870/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 1.9834 (2.0727) Prec@1 52.500 (46.851) Prec@5 76.250 (77.324) Epoch: [39][4880/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 1.9133 (2.0728) Prec@1 51.250 (46.846) Prec@5 79.375 (77.324) Epoch: [39][4890/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 2.1449 (2.0727) Prec@1 43.125 (46.847) Prec@5 74.375 (77.328) Epoch: [39][4900/11272] Time 0.754 (0.795) Data 0.003 (0.002) Loss 1.9843 (2.0726) Prec@1 49.375 (46.850) Prec@5 78.750 (77.327) Epoch: [39][4910/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.1524 (2.0727) Prec@1 45.625 (46.850) Prec@5 73.750 (77.328) Epoch: [39][4920/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 1.8222 (2.0727) Prec@1 54.375 (46.852) Prec@5 80.000 (77.328) Epoch: [39][4930/11272] Time 0.849 (0.795) Data 0.001 (0.002) Loss 1.9807 (2.0728) Prec@1 48.125 (46.848) Prec@5 80.000 (77.326) Epoch: [39][4940/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 2.0427 (2.0728) Prec@1 47.500 (46.847) Prec@5 73.125 (77.326) Epoch: [39][4950/11272] Time 0.746 (0.795) Data 0.002 (0.002) Loss 2.0102 (2.0729) Prec@1 48.125 (46.846) Prec@5 79.375 (77.324) Epoch: [39][4960/11272] Time 0.858 (0.795) Data 0.002 (0.002) Loss 2.1936 (2.0729) Prec@1 43.750 (46.843) Prec@5 71.250 (77.322) Epoch: [39][4970/11272] Time 0.896 (0.795) Data 0.002 (0.002) Loss 2.0769 (2.0730) Prec@1 43.750 (46.840) Prec@5 76.250 (77.321) Epoch: [39][4980/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 2.0000 (2.0728) Prec@1 48.750 (46.842) Prec@5 78.750 (77.324) Epoch: [39][4990/11272] Time 0.830 (0.795) Data 0.002 (0.002) Loss 2.1798 (2.0729) Prec@1 47.500 (46.840) Prec@5 78.750 (77.322) Epoch: [39][5000/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 2.0401 (2.0730) Prec@1 49.375 (46.837) Prec@5 77.500 (77.321) Epoch: [39][5010/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.2787 (2.0731) Prec@1 45.000 (46.832) Prec@5 76.875 (77.318) Epoch: [39][5020/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 2.1413 (2.0731) Prec@1 48.125 (46.831) Prec@5 73.125 (77.319) Epoch: [39][5030/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 1.7467 (2.0730) Prec@1 56.250 (46.834) Prec@5 80.625 (77.323) Epoch: [39][5040/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.2211 (2.0729) Prec@1 43.125 (46.839) Prec@5 74.375 (77.324) Epoch: [39][5050/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.2460 (2.0730) Prec@1 41.250 (46.835) Prec@5 73.125 (77.322) Epoch: [39][5060/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.1708 (2.0731) Prec@1 42.500 (46.835) Prec@5 75.000 (77.322) Epoch: [39][5070/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.9958 (2.0733) Prec@1 47.500 (46.832) Prec@5 79.375 (77.317) Epoch: [39][5080/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.8836 (2.0734) Prec@1 50.000 (46.828) Prec@5 78.750 (77.314) Epoch: [39][5090/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 2.2527 (2.0735) Prec@1 46.875 (46.826) Prec@5 72.500 (77.313) Epoch: [39][5100/11272] Time 0.751 (0.795) Data 0.002 (0.002) Loss 2.0887 (2.0736) Prec@1 46.875 (46.826) Prec@5 75.625 (77.311) Epoch: [39][5110/11272] Time 0.875 (0.795) Data 0.002 (0.002) Loss 2.1558 (2.0736) Prec@1 46.875 (46.825) Prec@5 73.125 (77.309) Epoch: [39][5120/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.0509 (2.0735) Prec@1 46.250 (46.825) Prec@5 77.500 (77.311) Epoch: [39][5130/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.9621 (2.0735) Prec@1 50.000 (46.824) Prec@5 83.125 (77.312) Epoch: [39][5140/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 2.0251 (2.0735) Prec@1 45.000 (46.822) Prec@5 78.750 (77.315) Epoch: [39][5150/11272] Time 0.903 (0.795) Data 0.001 (0.002) Loss 1.8000 (2.0734) Prec@1 54.375 (46.828) Prec@5 82.500 (77.316) Epoch: [39][5160/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.8785 (2.0733) Prec@1 53.750 (46.825) Prec@5 81.250 (77.317) Epoch: [39][5170/11272] Time 0.755 (0.795) Data 0.002 (0.002) Loss 2.0308 (2.0734) Prec@1 46.250 (46.823) Prec@5 82.500 (77.317) Epoch: [39][5180/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 2.1838 (2.0734) Prec@1 46.250 (46.824) Prec@5 75.000 (77.316) Epoch: [39][5190/11272] Time 0.870 (0.795) Data 0.002 (0.002) Loss 1.9807 (2.0733) Prec@1 47.500 (46.825) Prec@5 86.875 (77.319) Epoch: [39][5200/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.1725 (2.0733) Prec@1 42.500 (46.823) Prec@5 75.000 (77.318) Epoch: [39][5210/11272] Time 0.753 (0.795) Data 0.001 (0.002) Loss 2.1871 (2.0733) Prec@1 48.125 (46.823) Prec@5 74.375 (77.319) Epoch: [39][5220/11272] Time 0.844 (0.795) Data 0.002 (0.002) Loss 1.9430 (2.0733) Prec@1 50.000 (46.822) Prec@5 83.125 (77.320) Epoch: [39][5230/11272] Time 0.845 (0.795) Data 0.001 (0.002) Loss 1.8367 (2.0732) Prec@1 53.125 (46.824) Prec@5 81.250 (77.320) Epoch: [39][5240/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.3747 (2.0733) Prec@1 41.875 (46.819) Prec@5 74.375 (77.318) Epoch: [39][5250/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.9005 (2.0732) Prec@1 46.875 (46.821) Prec@5 80.625 (77.321) Epoch: [39][5260/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.1215 (2.0732) Prec@1 43.125 (46.821) Prec@5 79.375 (77.323) Epoch: [39][5270/11272] Time 0.738 (0.795) Data 0.001 (0.002) Loss 1.8066 (2.0731) Prec@1 48.750 (46.822) Prec@5 80.000 (77.322) Epoch: [39][5280/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 2.0479 (2.0732) Prec@1 48.750 (46.822) Prec@5 74.375 (77.321) Epoch: [39][5290/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.9186 (2.0732) Prec@1 50.625 (46.823) Prec@5 76.875 (77.319) Epoch: [39][5300/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.9756 (2.0733) Prec@1 50.000 (46.820) Prec@5 78.125 (77.319) Epoch: [39][5310/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.0180 (2.0732) Prec@1 50.000 (46.823) Prec@5 78.750 (77.320) Epoch: [39][5320/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.8799 (2.0731) Prec@1 51.250 (46.826) Prec@5 84.375 (77.321) Epoch: [39][5330/11272] Time 0.822 (0.795) Data 0.002 (0.002) Loss 2.4803 (2.0733) Prec@1 36.875 (46.823) Prec@5 68.750 (77.318) Epoch: [39][5340/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 2.2409 (2.0732) Prec@1 41.875 (46.823) Prec@5 76.250 (77.318) Epoch: [39][5350/11272] Time 0.759 (0.795) Data 0.002 (0.002) Loss 2.2053 (2.0733) Prec@1 44.375 (46.823) Prec@5 75.625 (77.317) Epoch: [39][5360/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0596 (2.0734) Prec@1 48.125 (46.824) Prec@5 77.500 (77.314) Epoch: [39][5370/11272] Time 0.833 (0.795) Data 0.002 (0.002) Loss 1.9861 (2.0734) Prec@1 42.500 (46.823) Prec@5 78.125 (77.312) Epoch: [39][5380/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.2512 (2.0736) Prec@1 40.000 (46.819) Prec@5 75.625 (77.309) Epoch: [39][5390/11272] Time 0.714 (0.795) Data 0.001 (0.002) Loss 2.1489 (2.0737) Prec@1 43.125 (46.817) Prec@5 76.875 (77.309) Epoch: [39][5400/11272] Time 0.883 (0.795) Data 0.001 (0.002) Loss 2.2218 (2.0738) Prec@1 46.250 (46.817) Prec@5 73.750 (77.309) Epoch: [39][5410/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 2.1062 (2.0738) Prec@1 41.875 (46.819) Prec@5 78.125 (77.308) Epoch: [39][5420/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 1.8849 (2.0738) Prec@1 51.875 (46.819) Prec@5 81.250 (77.308) Epoch: [39][5430/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.9701 (2.0738) Prec@1 48.125 (46.818) Prec@5 80.625 (77.306) Epoch: [39][5440/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 2.1277 (2.0739) Prec@1 43.750 (46.818) Prec@5 78.125 (77.303) Epoch: [39][5450/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.9048 (2.0739) Prec@1 53.125 (46.817) Prec@5 76.875 (77.300) Epoch: [39][5460/11272] Time 0.744 (0.795) Data 0.001 (0.002) Loss 2.1930 (2.0739) Prec@1 45.000 (46.817) Prec@5 75.000 (77.300) Epoch: [39][5470/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.8307 (2.0739) Prec@1 48.125 (46.819) Prec@5 83.125 (77.301) Epoch: [39][5480/11272] Time 0.867 (0.795) Data 0.001 (0.002) Loss 2.1797 (2.0740) Prec@1 46.250 (46.819) Prec@5 74.375 (77.300) Epoch: [39][5490/11272] Time 0.818 (0.795) Data 0.002 (0.002) Loss 1.8377 (2.0741) Prec@1 57.500 (46.821) Prec@5 83.125 (77.298) Epoch: [39][5500/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 2.1367 (2.0741) Prec@1 45.625 (46.819) Prec@5 76.875 (77.297) Epoch: [39][5510/11272] Time 0.756 (0.795) Data 0.002 (0.002) Loss 2.0672 (2.0740) Prec@1 54.375 (46.822) Prec@5 75.625 (77.298) Epoch: [39][5520/11272] Time 0.867 (0.795) Data 0.001 (0.002) Loss 2.2295 (2.0741) Prec@1 40.625 (46.820) Prec@5 76.875 (77.296) Epoch: [39][5530/11272] Time 0.738 (0.795) Data 0.003 (0.002) Loss 2.0550 (2.0741) Prec@1 45.625 (46.818) Prec@5 80.625 (77.297) Epoch: [39][5540/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 1.8659 (2.0741) Prec@1 50.000 (46.819) Prec@5 81.875 (77.297) Epoch: [39][5550/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 2.1238 (2.0742) Prec@1 40.625 (46.815) Prec@5 78.125 (77.297) Epoch: [39][5560/11272] Time 0.825 (0.795) Data 0.001 (0.002) Loss 2.0825 (2.0742) Prec@1 46.250 (46.814) Prec@5 73.125 (77.297) Epoch: [39][5570/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 2.2874 (2.0743) Prec@1 41.250 (46.812) Prec@5 74.375 (77.295) Epoch: [39][5580/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 2.4459 (2.0745) Prec@1 39.375 (46.810) Prec@5 70.000 (77.294) Epoch: [39][5590/11272] Time 0.830 (0.795) Data 0.002 (0.002) Loss 2.2477 (2.0746) Prec@1 42.500 (46.808) Prec@5 78.750 (77.292) Epoch: [39][5600/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 2.3579 (2.0746) Prec@1 41.250 (46.808) Prec@5 74.375 (77.293) Epoch: [39][5610/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.2896 (2.0746) Prec@1 42.500 (46.808) Prec@5 72.500 (77.293) Epoch: [39][5620/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.9740 (2.0744) Prec@1 48.750 (46.813) Prec@5 78.125 (77.295) Epoch: [39][5630/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 1.9656 (2.0746) Prec@1 45.000 (46.807) Prec@5 81.875 (77.294) Epoch: [39][5640/11272] Time 0.893 (0.795) Data 0.002 (0.002) Loss 2.1031 (2.0746) Prec@1 48.125 (46.807) Prec@5 81.250 (77.296) Epoch: [39][5650/11272] Time 0.703 (0.795) Data 0.001 (0.002) Loss 1.9803 (2.0747) Prec@1 50.000 (46.806) Prec@5 78.125 (77.295) Epoch: [39][5660/11272] Time 0.853 (0.795) Data 0.001 (0.002) Loss 2.1484 (2.0747) Prec@1 41.250 (46.805) Prec@5 74.375 (77.293) Epoch: [39][5670/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.1116 (2.0747) Prec@1 48.125 (46.808) Prec@5 76.875 (77.296) Epoch: [39][5680/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.9017 (2.0747) Prec@1 53.125 (46.806) Prec@5 79.375 (77.296) Epoch: [39][5690/11272] Time 0.717 (0.795) Data 0.001 (0.002) Loss 2.0082 (2.0747) Prec@1 47.500 (46.806) Prec@5 78.125 (77.296) Epoch: [39][5700/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.9876 (2.0748) Prec@1 48.125 (46.804) Prec@5 78.125 (77.293) Epoch: [39][5710/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.0092 (2.0748) Prec@1 45.625 (46.805) Prec@5 77.500 (77.296) Epoch: [39][5720/11272] Time 0.747 (0.795) Data 0.001 (0.002) Loss 1.8182 (2.0748) Prec@1 49.375 (46.805) Prec@5 83.125 (77.296) Epoch: [39][5730/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 2.2514 (2.0749) Prec@1 40.000 (46.802) Prec@5 73.125 (77.295) Epoch: [39][5740/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 2.1410 (2.0749) Prec@1 49.375 (46.800) Prec@5 76.250 (77.294) Epoch: [39][5750/11272] Time 0.814 (0.795) Data 0.002 (0.002) Loss 2.2548 (2.0749) Prec@1 41.875 (46.798) Prec@5 73.125 (77.292) Epoch: [39][5760/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 2.2537 (2.0750) Prec@1 46.875 (46.795) Prec@5 74.375 (77.293) Epoch: [39][5770/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.2910 (2.0748) Prec@1 43.125 (46.798) Prec@5 71.875 (77.298) Epoch: [39][5780/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 2.1779 (2.0749) Prec@1 40.000 (46.797) Prec@5 76.875 (77.295) Epoch: [39][5790/11272] Time 0.729 (0.795) Data 0.003 (0.002) Loss 2.2427 (2.0749) Prec@1 41.250 (46.794) Prec@5 74.375 (77.294) Epoch: [39][5800/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.1571 (2.0749) Prec@1 44.375 (46.795) Prec@5 75.625 (77.294) Epoch: [39][5810/11272] Time 0.861 (0.795) Data 0.002 (0.002) Loss 2.2614 (2.0748) Prec@1 42.500 (46.795) Prec@5 71.875 (77.294) Epoch: [39][5820/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 1.9910 (2.0747) Prec@1 52.500 (46.800) Prec@5 76.250 (77.295) Epoch: [39][5830/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.2371 (2.0748) Prec@1 42.500 (46.796) Prec@5 71.250 (77.292) Epoch: [39][5840/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 2.0608 (2.0748) Prec@1 53.750 (46.797) Prec@5 76.875 (77.294) Epoch: [39][5850/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.0467 (2.0748) Prec@1 50.000 (46.796) Prec@5 76.875 (77.294) Epoch: [39][5860/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 2.3502 (2.0748) Prec@1 48.125 (46.795) Prec@5 71.875 (77.295) Epoch: [39][5870/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.0006 (2.0746) Prec@1 48.750 (46.798) Prec@5 78.750 (77.299) Epoch: [39][5880/11272] Time 0.713 (0.795) Data 0.001 (0.002) Loss 2.3972 (2.0746) Prec@1 39.375 (46.795) Prec@5 75.000 (77.297) Epoch: [39][5890/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 2.2765 (2.0747) Prec@1 41.875 (46.795) Prec@5 76.875 (77.296) Epoch: [39][5900/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 2.2666 (2.0747) Prec@1 39.375 (46.795) Prec@5 76.875 (77.296) Epoch: [39][5910/11272] Time 0.772 (0.795) Data 0.002 (0.002) Loss 2.0663 (2.0747) Prec@1 50.625 (46.798) Prec@5 78.750 (77.298) Epoch: [39][5920/11272] Time 0.831 (0.795) Data 0.002 (0.002) Loss 2.3685 (2.0747) Prec@1 37.500 (46.797) Prec@5 73.125 (77.298) Epoch: [39][5930/11272] Time 0.845 (0.795) Data 0.001 (0.002) Loss 1.9706 (2.0746) Prec@1 50.000 (46.800) Prec@5 83.750 (77.300) Epoch: [39][5940/11272] Time 0.750 (0.795) Data 0.001 (0.002) Loss 2.2482 (2.0747) Prec@1 43.125 (46.798) Prec@5 76.875 (77.297) Epoch: [39][5950/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0228 (2.0748) Prec@1 51.875 (46.800) Prec@5 75.000 (77.295) Epoch: [39][5960/11272] Time 0.874 (0.795) Data 0.001 (0.002) Loss 1.9968 (2.0747) Prec@1 51.250 (46.801) Prec@5 80.000 (77.295) Epoch: [39][5970/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.1826 (2.0748) Prec@1 43.125 (46.798) Prec@5 73.750 (77.296) Epoch: [39][5980/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 2.0147 (2.0746) Prec@1 49.375 (46.802) Prec@5 82.500 (77.298) Epoch: [39][5990/11272] Time 0.789 (0.795) Data 0.001 (0.002) Loss 1.9795 (2.0746) Prec@1 52.500 (46.801) Prec@5 77.500 (77.298) Epoch: [39][6000/11272] Time 0.819 (0.795) Data 0.001 (0.002) Loss 2.1971 (2.0745) Prec@1 47.500 (46.801) Prec@5 75.000 (77.300) Epoch: [39][6010/11272] Time 0.831 (0.795) Data 0.002 (0.002) Loss 2.1963 (2.0747) Prec@1 45.625 (46.800) Prec@5 76.875 (77.300) Epoch: [39][6020/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 2.1367 (2.0747) Prec@1 46.250 (46.798) Prec@5 79.375 (77.301) Epoch: [39][6030/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 2.0703 (2.0748) Prec@1 48.125 (46.798) Prec@5 78.750 (77.298) Epoch: [39][6040/11272] Time 0.920 (0.795) Data 0.002 (0.002) Loss 1.9932 (2.0748) Prec@1 50.000 (46.800) Prec@5 80.000 (77.300) Epoch: [39][6050/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 2.2855 (2.0749) Prec@1 43.125 (46.798) Prec@5 76.875 (77.299) Epoch: [39][6060/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.0890 (2.0749) Prec@1 45.000 (46.799) Prec@5 76.875 (77.298) Epoch: [39][6070/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 2.2030 (2.0748) Prec@1 44.375 (46.799) Prec@5 76.875 (77.299) Epoch: [39][6080/11272] Time 0.826 (0.795) Data 0.002 (0.002) Loss 2.3798 (2.0749) Prec@1 43.125 (46.799) Prec@5 73.750 (77.299) Epoch: [39][6090/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 2.1630 (2.0748) Prec@1 41.875 (46.800) Prec@5 79.375 (77.302) Epoch: [39][6100/11272] Time 0.757 (0.795) Data 0.001 (0.002) Loss 2.1118 (2.0748) Prec@1 48.750 (46.802) Prec@5 76.875 (77.302) Epoch: [39][6110/11272] Time 0.865 (0.795) Data 0.002 (0.002) Loss 2.0804 (2.0748) Prec@1 45.000 (46.799) Prec@5 77.500 (77.303) Epoch: [39][6120/11272] Time 0.809 (0.795) Data 0.001 (0.002) Loss 2.1351 (2.0748) Prec@1 43.750 (46.796) Prec@5 75.000 (77.303) Epoch: [39][6130/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 2.0003 (2.0748) Prec@1 41.875 (46.796) Prec@5 80.000 (77.303) Epoch: [39][6140/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 2.0937 (2.0749) Prec@1 48.125 (46.794) Prec@5 75.625 (77.298) Epoch: [39][6150/11272] Time 0.876 (0.795) Data 0.002 (0.002) Loss 2.1974 (2.0749) Prec@1 45.625 (46.792) Prec@5 79.375 (77.298) Epoch: [39][6160/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.2651 (2.0749) Prec@1 38.750 (46.793) Prec@5 76.250 (77.300) Epoch: [39][6170/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.9567 (2.0748) Prec@1 52.500 (46.794) Prec@5 80.000 (77.301) Epoch: [39][6180/11272] Time 0.757 (0.795) Data 0.001 (0.002) Loss 1.9449 (2.0748) Prec@1 50.625 (46.793) Prec@5 79.375 (77.303) Epoch: [39][6190/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.1521 (2.0748) Prec@1 46.875 (46.794) Prec@5 78.125 (77.303) Epoch: [39][6200/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 2.2644 (2.0748) Prec@1 36.875 (46.793) Prec@5 71.250 (77.301) Epoch: [39][6210/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.2227 (2.0749) Prec@1 43.750 (46.793) Prec@5 75.625 (77.300) Epoch: [39][6220/11272] Time 0.832 (0.795) Data 0.001 (0.002) Loss 2.0041 (2.0748) Prec@1 50.625 (46.797) Prec@5 76.250 (77.302) Epoch: [39][6230/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 2.0380 (2.0747) Prec@1 44.375 (46.796) Prec@5 77.500 (77.303) Epoch: [39][6240/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 2.2597 (2.0749) Prec@1 41.250 (46.793) Prec@5 71.250 (77.301) Epoch: [39][6250/11272] Time 0.738 (0.795) Data 0.001 (0.002) Loss 2.0113 (2.0749) Prec@1 49.375 (46.791) Prec@5 75.625 (77.301) Epoch: [39][6260/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.1888 (2.0748) Prec@1 41.875 (46.793) Prec@5 75.625 (77.302) Epoch: [39][6270/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 2.2296 (2.0749) Prec@1 43.750 (46.790) Prec@5 76.250 (77.303) Epoch: [39][6280/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.9908 (2.0748) Prec@1 43.750 (46.792) Prec@5 75.625 (77.304) Epoch: [39][6290/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 1.9927 (2.0748) Prec@1 48.125 (46.790) Prec@5 79.375 (77.303) Epoch: [39][6300/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.9423 (2.0747) Prec@1 50.625 (46.793) Prec@5 78.750 (77.302) Epoch: [39][6310/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 2.1923 (2.0748) Prec@1 48.750 (46.794) Prec@5 74.375 (77.302) Epoch: [39][6320/11272] Time 0.762 (0.795) Data 0.002 (0.002) Loss 2.2341 (2.0749) Prec@1 46.875 (46.794) Prec@5 71.875 (77.303) Epoch: [39][6330/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.9278 (2.0748) Prec@1 53.125 (46.796) Prec@5 78.125 (77.302) Epoch: [39][6340/11272] Time 0.860 (0.795) Data 0.001 (0.002) Loss 2.1735 (2.0749) Prec@1 44.375 (46.793) Prec@5 74.375 (77.301) Epoch: [39][6350/11272] Time 0.748 (0.795) Data 0.002 (0.002) Loss 2.2899 (2.0750) Prec@1 43.750 (46.791) Prec@5 71.875 (77.300) Epoch: [39][6360/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 2.0781 (2.0750) Prec@1 48.125 (46.791) Prec@5 76.875 (77.299) Epoch: [39][6370/11272] Time 0.868 (0.795) Data 0.001 (0.002) Loss 2.1520 (2.0750) Prec@1 44.375 (46.788) Prec@5 75.625 (77.297) Epoch: [39][6380/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.3387 (2.0751) Prec@1 41.875 (46.789) Prec@5 71.875 (77.295) Epoch: [39][6390/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 2.0706 (2.0752) Prec@1 41.250 (46.785) Prec@5 76.250 (77.294) Epoch: [39][6400/11272] Time 0.740 (0.795) Data 0.001 (0.002) Loss 2.1874 (2.0753) Prec@1 43.125 (46.783) Prec@5 74.375 (77.293) Epoch: [39][6410/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.2248 (2.0754) Prec@1 43.125 (46.782) Prec@5 73.125 (77.291) Epoch: [39][6420/11272] Time 0.807 (0.795) Data 0.001 (0.002) Loss 2.2882 (2.0754) Prec@1 41.875 (46.781) Prec@5 72.500 (77.291) Epoch: [39][6430/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.1348 (2.0752) Prec@1 43.750 (46.781) Prec@5 79.375 (77.293) Epoch: [39][6440/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 2.3289 (2.0753) Prec@1 42.500 (46.781) Prec@5 74.375 (77.293) Epoch: [39][6450/11272] Time 0.833 (0.795) Data 0.002 (0.002) Loss 2.0657 (2.0752) Prec@1 48.750 (46.782) Prec@5 78.125 (77.294) Epoch: [39][6460/11272] Time 0.730 (0.795) Data 0.004 (0.002) Loss 2.1031 (2.0751) Prec@1 45.000 (46.782) Prec@5 71.875 (77.296) Epoch: [39][6470/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.8666 (2.0751) Prec@1 45.625 (46.780) Prec@5 81.875 (77.296) Epoch: [39][6480/11272] Time 0.850 (0.795) Data 0.002 (0.002) Loss 1.9778 (2.0752) Prec@1 48.125 (46.779) Prec@5 76.875 (77.291) Epoch: [39][6490/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 2.4298 (2.0752) Prec@1 36.875 (46.779) Prec@5 72.500 (77.291) Epoch: [39][6500/11272] Time 0.777 (0.795) Data 0.002 (0.002) Loss 2.0865 (2.0752) Prec@1 48.125 (46.781) Prec@5 76.875 (77.291) Epoch: [39][6510/11272] Time 0.740 (0.795) Data 0.001 (0.002) Loss 2.0138 (2.0751) Prec@1 45.625 (46.779) Prec@5 78.125 (77.294) Epoch: [39][6520/11272] Time 0.823 (0.795) Data 0.002 (0.002) Loss 2.0552 (2.0752) Prec@1 49.375 (46.776) Prec@5 78.125 (77.294) Epoch: [39][6530/11272] Time 0.899 (0.795) Data 0.002 (0.002) Loss 2.0400 (2.0752) Prec@1 43.750 (46.774) Prec@5 80.000 (77.296) Epoch: [39][6540/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 1.8880 (2.0753) Prec@1 46.875 (46.773) Prec@5 81.875 (77.294) Epoch: [39][6550/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 2.0712 (2.0753) Prec@1 43.750 (46.772) Prec@5 77.500 (77.293) Epoch: [39][6560/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 2.1669 (2.0754) Prec@1 46.250 (46.771) Prec@5 76.250 (77.292) Epoch: [39][6570/11272] Time 0.825 (0.795) Data 0.001 (0.002) Loss 2.1205 (2.0755) Prec@1 41.875 (46.771) Prec@5 81.250 (77.290) Epoch: [39][6580/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.8378 (2.0754) Prec@1 49.375 (46.773) Prec@5 76.875 (77.292) Epoch: [39][6590/11272] Time 0.866 (0.795) Data 0.002 (0.002) Loss 2.0781 (2.0753) Prec@1 48.125 (46.777) Prec@5 76.875 (77.294) Epoch: [39][6600/11272] Time 0.866 (0.795) Data 0.002 (0.002) Loss 2.0009 (2.0754) Prec@1 46.875 (46.773) Prec@5 78.125 (77.292) Epoch: [39][6610/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.8769 (2.0754) Prec@1 50.000 (46.772) Prec@5 81.250 (77.292) Epoch: [39][6620/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 2.0056 (2.0754) Prec@1 49.375 (46.770) Prec@5 77.500 (77.293) Epoch: [39][6630/11272] Time 0.887 (0.795) Data 0.002 (0.002) Loss 2.0207 (2.0754) Prec@1 48.750 (46.772) Prec@5 77.500 (77.294) Epoch: [39][6640/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 2.4994 (2.0754) Prec@1 38.125 (46.769) Prec@5 70.000 (77.291) Epoch: [39][6650/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0751 (2.0756) Prec@1 46.250 (46.767) Prec@5 78.125 (77.289) Epoch: [39][6660/11272] Time 0.718 (0.795) Data 0.001 (0.002) Loss 2.0964 (2.0756) Prec@1 44.375 (46.767) Prec@5 76.250 (77.288) Epoch: [39][6670/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 2.1896 (2.0755) Prec@1 42.500 (46.768) Prec@5 75.625 (77.289) Epoch: [39][6680/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.9574 (2.0754) Prec@1 49.375 (46.771) Prec@5 79.375 (77.291) Epoch: [39][6690/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.9873 (2.0755) Prec@1 49.375 (46.770) Prec@5 75.625 (77.289) Epoch: [39][6700/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 2.1875 (2.0755) Prec@1 40.625 (46.768) Prec@5 74.375 (77.290) Epoch: [39][6710/11272] Time 0.856 (0.795) Data 0.001 (0.002) Loss 2.2237 (2.0755) Prec@1 40.000 (46.768) Prec@5 75.625 (77.289) Epoch: [39][6720/11272] Time 0.720 (0.795) Data 0.003 (0.002) Loss 2.1549 (2.0755) Prec@1 48.750 (46.768) Prec@5 75.625 (77.289) Epoch: [39][6730/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 2.0226 (2.0755) Prec@1 50.625 (46.769) Prec@5 79.375 (77.289) Epoch: [39][6740/11272] Time 0.861 (0.795) Data 0.001 (0.002) Loss 1.9400 (2.0755) Prec@1 47.500 (46.769) Prec@5 82.500 (77.289) Epoch: [39][6750/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 2.0944 (2.0755) Prec@1 43.750 (46.768) Prec@5 80.625 (77.292) Epoch: [39][6760/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.9108 (2.0756) Prec@1 49.375 (46.765) Prec@5 81.250 (77.291) Epoch: [39][6770/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.2768 (2.0756) Prec@1 43.750 (46.766) Prec@5 69.375 (77.290) Epoch: [39][6780/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.0887 (2.0756) Prec@1 46.250 (46.766) Prec@5 73.125 (77.289) Epoch: [39][6790/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 1.8480 (2.0754) Prec@1 51.875 (46.766) Prec@5 78.125 (77.290) Epoch: [39][6800/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 2.0229 (2.0754) Prec@1 44.375 (46.765) Prec@5 78.125 (77.289) Epoch: [39][6810/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0580 (2.0755) Prec@1 48.750 (46.766) Prec@5 75.625 (77.287) Epoch: [39][6820/11272] Time 0.828 (0.795) Data 0.002 (0.002) Loss 2.3308 (2.0755) Prec@1 38.750 (46.767) Prec@5 72.500 (77.287) Epoch: [39][6830/11272] Time 0.882 (0.795) Data 0.002 (0.002) Loss 1.9257 (2.0754) Prec@1 47.500 (46.769) Prec@5 76.875 (77.288) Epoch: [39][6840/11272] Time 0.746 (0.795) Data 0.002 (0.002) Loss 2.2333 (2.0754) Prec@1 45.000 (46.767) Prec@5 71.875 (77.288) Epoch: [39][6850/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 1.8478 (2.0755) Prec@1 50.625 (46.764) Prec@5 80.625 (77.288) Epoch: [39][6860/11272] Time 0.881 (0.795) Data 0.002 (0.002) Loss 2.0796 (2.0755) Prec@1 51.875 (46.765) Prec@5 78.125 (77.287) Epoch: [39][6870/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 1.9810 (2.0755) Prec@1 48.125 (46.765) Prec@5 76.875 (77.288) Epoch: [39][6880/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.1562 (2.0755) Prec@1 49.375 (46.765) Prec@5 73.750 (77.288) Epoch: [39][6890/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 2.0153 (2.0755) Prec@1 48.750 (46.766) Prec@5 77.500 (77.288) Epoch: [39][6900/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 1.8472 (2.0755) Prec@1 50.625 (46.767) Prec@5 81.875 (77.289) Epoch: [39][6910/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.8383 (2.0754) Prec@1 52.500 (46.766) Prec@5 82.500 (77.288) Epoch: [39][6920/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 2.2669 (2.0754) Prec@1 43.125 (46.768) Prec@5 75.625 (77.289) Epoch: [39][6930/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.3092 (2.0754) Prec@1 43.750 (46.767) Prec@5 72.500 (77.287) Epoch: [39][6940/11272] Time 0.819 (0.795) Data 0.001 (0.002) Loss 2.0849 (2.0754) Prec@1 41.250 (46.766) Prec@5 81.875 (77.288) Epoch: [39][6950/11272] Time 0.711 (0.795) Data 0.001 (0.002) Loss 2.0811 (2.0753) Prec@1 46.250 (46.767) Prec@5 76.875 (77.291) Epoch: [39][6960/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.1714 (2.0753) Prec@1 43.125 (46.767) Prec@5 75.625 (77.293) Epoch: [39][6970/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 2.1803 (2.0754) Prec@1 41.875 (46.766) Prec@5 76.250 (77.293) Epoch: [39][6980/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.2015 (2.0754) Prec@1 45.000 (46.765) Prec@5 71.875 (77.292) Epoch: [39][6990/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.1430 (2.0755) Prec@1 47.500 (46.763) Prec@5 73.750 (77.290) Epoch: [39][7000/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 1.9702 (2.0754) Prec@1 46.875 (46.763) Prec@5 80.000 (77.292) Epoch: [39][7010/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.2161 (2.0754) Prec@1 42.500 (46.763) Prec@5 73.750 (77.291) Epoch: [39][7020/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.1806 (2.0755) Prec@1 46.875 (46.761) Prec@5 76.875 (77.290) Epoch: [39][7030/11272] Time 0.766 (0.794) Data 0.001 (0.002) Loss 1.9730 (2.0755) Prec@1 53.125 (46.761) Prec@5 78.750 (77.289) Epoch: [39][7040/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 2.0305 (2.0755) Prec@1 41.875 (46.760) Prec@5 78.750 (77.289) Epoch: [39][7050/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.1678 (2.0755) Prec@1 45.000 (46.759) Prec@5 77.500 (77.289) Epoch: [39][7060/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.7585 (2.0754) Prec@1 48.750 (46.763) Prec@5 84.375 (77.293) Epoch: [39][7070/11272] Time 0.760 (0.794) Data 0.002 (0.002) Loss 2.2209 (2.0755) Prec@1 38.125 (46.760) Prec@5 72.500 (77.292) Epoch: [39][7080/11272] Time 0.882 (0.794) Data 0.001 (0.002) Loss 2.3293 (2.0755) Prec@1 38.125 (46.755) Prec@5 73.750 (77.290) Epoch: [39][7090/11272] Time 0.801 (0.794) Data 0.001 (0.002) Loss 2.1455 (2.0755) Prec@1 45.000 (46.755) Prec@5 77.500 (77.291) Epoch: [39][7100/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.9215 (2.0755) Prec@1 46.250 (46.755) Prec@5 80.000 (77.289) Epoch: [39][7110/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.9131 (2.0755) Prec@1 45.625 (46.754) Prec@5 84.375 (77.289) Epoch: [39][7120/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.2926 (2.0755) Prec@1 44.375 (46.755) Prec@5 73.125 (77.290) Epoch: [39][7130/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.1071 (2.0755) Prec@1 47.500 (46.754) Prec@5 73.125 (77.291) Epoch: [39][7140/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.2352 (2.0755) Prec@1 45.000 (46.752) Prec@5 73.125 (77.289) Epoch: [39][7150/11272] Time 0.800 (0.794) Data 0.001 (0.002) Loss 2.2966 (2.0756) Prec@1 44.375 (46.750) Prec@5 73.125 (77.289) Epoch: [39][7160/11272] Time 0.813 (0.794) Data 0.002 (0.002) Loss 1.9968 (2.0757) Prec@1 49.375 (46.750) Prec@5 78.125 (77.288) Epoch: [39][7170/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.2289 (2.0757) Prec@1 41.875 (46.750) Prec@5 77.500 (77.288) Epoch: [39][7180/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0611 (2.0756) Prec@1 45.625 (46.751) Prec@5 79.375 (77.289) Epoch: [39][7190/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0830 (2.0756) Prec@1 48.750 (46.751) Prec@5 78.125 (77.290) Epoch: [39][7200/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.0609 (2.0756) Prec@1 42.500 (46.749) Prec@5 74.375 (77.289) Epoch: [39][7210/11272] Time 0.789 (0.794) Data 0.002 (0.002) Loss 2.0290 (2.0756) Prec@1 40.625 (46.750) Prec@5 79.375 (77.291) Epoch: [39][7220/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.2432 (2.0756) Prec@1 43.750 (46.750) Prec@5 76.250 (77.291) Epoch: [39][7230/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.9585 (2.0756) Prec@1 48.750 (46.751) Prec@5 81.875 (77.292) Epoch: [39][7240/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.9871 (2.0757) Prec@1 51.875 (46.749) Prec@5 78.750 (77.290) Epoch: [39][7250/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.0723 (2.0756) Prec@1 48.750 (46.751) Prec@5 75.625 (77.290) Epoch: [39][7260/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.9722 (2.0756) Prec@1 46.250 (46.751) Prec@5 81.250 (77.289) Epoch: [39][7270/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 2.1974 (2.0756) Prec@1 41.875 (46.752) Prec@5 78.750 (77.289) Epoch: [39][7280/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.0361 (2.0756) Prec@1 46.250 (46.751) Prec@5 78.125 (77.291) Epoch: [39][7290/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 2.1919 (2.0757) Prec@1 40.625 (46.748) Prec@5 72.500 (77.288) Epoch: [39][7300/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.1912 (2.0755) Prec@1 44.375 (46.750) Prec@5 73.750 (77.290) Epoch: [39][7310/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.2328 (2.0755) Prec@1 42.500 (46.751) Prec@5 71.250 (77.290) Epoch: [39][7320/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.9968 (2.0755) Prec@1 46.875 (46.752) Prec@5 81.250 (77.291) Epoch: [39][7330/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1167 (2.0756) Prec@1 48.750 (46.751) Prec@5 77.500 (77.289) Epoch: [39][7340/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 2.0036 (2.0756) Prec@1 49.375 (46.751) Prec@5 76.875 (77.289) Epoch: [39][7350/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.2465 (2.0757) Prec@1 40.625 (46.747) Prec@5 73.125 (77.287) Epoch: [39][7360/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.0638 (2.0758) Prec@1 47.500 (46.747) Prec@5 76.875 (77.287) Epoch: [39][7370/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.2578 (2.0757) Prec@1 43.125 (46.748) Prec@5 76.875 (77.289) Epoch: [39][7380/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.1303 (2.0757) Prec@1 45.000 (46.749) Prec@5 73.750 (77.288) Epoch: [39][7390/11272] Time 0.720 (0.794) Data 0.003 (0.002) Loss 2.1500 (2.0757) Prec@1 44.375 (46.749) Prec@5 73.125 (77.288) Epoch: [39][7400/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9768 (2.0757) Prec@1 49.375 (46.748) Prec@5 76.875 (77.288) Epoch: [39][7410/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.2658 (2.0757) Prec@1 45.000 (46.749) Prec@5 75.000 (77.290) Epoch: [39][7420/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.3076 (2.0757) Prec@1 43.125 (46.748) Prec@5 74.375 (77.289) Epoch: [39][7430/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.8422 (2.0758) Prec@1 52.500 (46.748) Prec@5 83.125 (77.290) Epoch: [39][7440/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.9624 (2.0757) Prec@1 50.000 (46.749) Prec@5 81.250 (77.289) Epoch: [39][7450/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 1.9963 (2.0757) Prec@1 47.500 (46.748) Prec@5 78.125 (77.288) Epoch: [39][7460/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 1.9306 (2.0757) Prec@1 53.125 (46.750) Prec@5 77.500 (77.288) Epoch: [39][7470/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0240 (2.0757) Prec@1 52.500 (46.751) Prec@5 80.625 (77.287) Epoch: [39][7480/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.2300 (2.0758) Prec@1 45.625 (46.750) Prec@5 75.000 (77.286) Epoch: [39][7490/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.1684 (2.0758) Prec@1 43.750 (46.750) Prec@5 76.250 (77.286) Epoch: [39][7500/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.2332 (2.0759) Prec@1 44.375 (46.749) Prec@5 70.625 (77.284) Epoch: [39][7510/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9688 (2.0759) Prec@1 52.500 (46.748) Prec@5 80.000 (77.283) Epoch: [39][7520/11272] Time 0.813 (0.794) Data 0.001 (0.002) Loss 2.1962 (2.0759) Prec@1 43.750 (46.748) Prec@5 76.875 (77.284) Epoch: [39][7530/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.0945 (2.0760) Prec@1 45.000 (46.747) Prec@5 73.750 (77.282) Epoch: [39][7540/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0435 (2.0758) Prec@1 44.375 (46.751) Prec@5 78.750 (77.284) Epoch: [39][7550/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.9433 (2.0758) Prec@1 48.750 (46.750) Prec@5 78.125 (77.285) Epoch: [39][7560/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.0060 (2.0758) Prec@1 45.000 (46.750) Prec@5 78.125 (77.285) Epoch: [39][7570/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.2366 (2.0758) Prec@1 44.375 (46.749) Prec@5 73.125 (77.285) Epoch: [39][7580/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 2.1811 (2.0759) Prec@1 47.500 (46.747) Prec@5 75.625 (77.281) Epoch: [39][7590/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.9058 (2.0759) Prec@1 52.500 (46.748) Prec@5 83.750 (77.282) Epoch: [39][7600/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 2.2178 (2.0759) Prec@1 44.375 (46.748) Prec@5 76.875 (77.284) Epoch: [39][7610/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0967 (2.0758) Prec@1 44.375 (46.747) Prec@5 78.750 (77.285) Epoch: [39][7620/11272] Time 0.787 (0.794) Data 0.002 (0.002) Loss 2.1101 (2.0758) Prec@1 46.875 (46.748) Prec@5 76.875 (77.285) Epoch: [39][7630/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0193 (2.0758) Prec@1 45.000 (46.746) Prec@5 78.125 (77.285) Epoch: [39][7640/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 1.7795 (2.0757) Prec@1 52.500 (46.747) Prec@5 80.000 (77.286) Epoch: [39][7650/11272] Time 0.730 (0.794) Data 0.004 (0.002) Loss 2.1571 (2.0758) Prec@1 43.750 (46.746) Prec@5 78.125 (77.285) Epoch: [39][7660/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 1.9894 (2.0759) Prec@1 46.250 (46.745) Prec@5 79.375 (77.282) Epoch: [39][7670/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.1410 (2.0761) Prec@1 45.625 (46.741) Prec@5 73.750 (77.279) Epoch: [39][7680/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.2586 (2.0762) Prec@1 43.125 (46.739) Prec@5 73.125 (77.277) Epoch: [39][7690/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.2365 (2.0762) Prec@1 38.125 (46.737) Prec@5 72.500 (77.275) Epoch: [39][7700/11272] Time 0.776 (0.794) Data 0.002 (0.002) Loss 2.3794 (2.0762) Prec@1 41.250 (46.738) Prec@5 71.875 (77.273) Epoch: [39][7710/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.0786 (2.0762) Prec@1 47.500 (46.739) Prec@5 75.625 (77.275) Epoch: [39][7720/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.4100 (2.0762) Prec@1 38.750 (46.738) Prec@5 72.500 (77.275) Epoch: [39][7730/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.3194 (2.0762) Prec@1 40.625 (46.740) Prec@5 71.250 (77.277) Epoch: [39][7740/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 2.1329 (2.0761) Prec@1 42.500 (46.741) Prec@5 75.625 (77.277) Epoch: [39][7750/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 2.3042 (2.0761) Prec@1 46.250 (46.740) Prec@5 71.250 (77.278) Epoch: [39][7760/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9060 (2.0761) Prec@1 50.000 (46.740) Prec@5 80.000 (77.278) Epoch: [39][7770/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.2642 (2.0762) Prec@1 40.000 (46.740) Prec@5 75.000 (77.278) Epoch: [39][7780/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.0894 (2.0762) Prec@1 41.250 (46.737) Prec@5 76.875 (77.277) Epoch: [39][7790/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.2898 (2.0762) Prec@1 38.125 (46.739) Prec@5 75.000 (77.277) Epoch: [39][7800/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.1897 (2.0762) Prec@1 48.125 (46.738) Prec@5 71.875 (77.276) Epoch: [39][7810/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.2072 (2.0763) Prec@1 39.375 (46.735) Prec@5 78.750 (77.276) Epoch: [39][7820/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.1590 (2.0764) Prec@1 43.125 (46.732) Prec@5 78.750 (77.275) Epoch: [39][7830/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9049 (2.0764) Prec@1 55.000 (46.733) Prec@5 75.625 (77.273) Epoch: [39][7840/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.3174 (2.0765) Prec@1 45.000 (46.734) Prec@5 73.125 (77.273) Epoch: [39][7850/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9271 (2.0765) Prec@1 51.875 (46.734) Prec@5 80.625 (77.274) Epoch: [39][7860/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.1061 (2.0764) Prec@1 46.250 (46.734) Prec@5 81.250 (77.274) Epoch: [39][7870/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 1.8405 (2.0763) Prec@1 53.750 (46.735) Prec@5 80.000 (77.276) Epoch: [39][7880/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 1.9338 (2.0764) Prec@1 46.250 (46.733) Prec@5 81.250 (77.275) Epoch: [39][7890/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.2480 (2.0765) Prec@1 45.000 (46.733) Prec@5 71.875 (77.273) Epoch: [39][7900/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.0297 (2.0764) Prec@1 46.250 (46.734) Prec@5 74.375 (77.272) Epoch: [39][7910/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.0427 (2.0764) Prec@1 48.750 (46.735) Prec@5 75.625 (77.273) Epoch: [39][7920/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9671 (2.0765) Prec@1 50.000 (46.735) Prec@5 75.000 (77.270) Epoch: [39][7930/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.2468 (2.0766) Prec@1 41.875 (46.732) Prec@5 76.875 (77.271) Epoch: [39][7940/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.8276 (2.0765) Prec@1 51.250 (46.733) Prec@5 81.875 (77.273) Epoch: [39][7950/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.1576 (2.0764) Prec@1 41.875 (46.736) Prec@5 80.000 (77.275) Epoch: [39][7960/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1227 (2.0764) Prec@1 49.375 (46.736) Prec@5 73.750 (77.275) Epoch: [39][7970/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.2705 (2.0764) Prec@1 42.500 (46.736) Prec@5 71.250 (77.275) Epoch: [39][7980/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.0455 (2.0765) Prec@1 48.750 (46.735) Prec@5 76.250 (77.273) Epoch: [39][7990/11272] Time 0.700 (0.794) Data 0.001 (0.002) Loss 1.9970 (2.0766) Prec@1 46.875 (46.732) Prec@5 80.000 (77.273) Epoch: [39][8000/11272] Time 0.764 (0.794) Data 0.002 (0.002) Loss 2.0213 (2.0766) Prec@1 51.875 (46.733) Prec@5 77.500 (77.273) Epoch: [39][8010/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 1.8164 (2.0767) Prec@1 53.750 (46.731) Prec@5 84.375 (77.273) Epoch: [39][8020/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.2086 (2.0767) Prec@1 44.375 (46.726) Prec@5 73.125 (77.273) Epoch: [39][8030/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.2155 (2.0768) Prec@1 43.125 (46.727) Prec@5 74.375 (77.273) Epoch: [39][8040/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.3091 (2.0770) Prec@1 40.625 (46.724) Prec@5 72.500 (77.269) Epoch: [39][8050/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.2849 (2.0770) Prec@1 42.500 (46.722) Prec@5 76.875 (77.270) Epoch: [39][8060/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.9303 (2.0769) Prec@1 50.000 (46.726) Prec@5 80.625 (77.271) Epoch: [39][8070/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0419 (2.0769) Prec@1 46.875 (46.725) Prec@5 74.375 (77.269) Epoch: [39][8080/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.1127 (2.0770) Prec@1 44.375 (46.722) Prec@5 75.000 (77.267) Epoch: [39][8090/11272] Time 0.828 (0.794) Data 0.003 (0.002) Loss 2.1303 (2.0771) Prec@1 47.500 (46.723) Prec@5 70.625 (77.265) Epoch: [39][8100/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.9659 (2.0771) Prec@1 48.750 (46.725) Prec@5 77.500 (77.263) Epoch: [39][8110/11272] Time 0.724 (0.794) Data 0.002 (0.002) Loss 2.1930 (2.0771) Prec@1 45.625 (46.723) Prec@5 69.375 (77.260) Epoch: [39][8120/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9660 (2.0772) Prec@1 50.000 (46.723) Prec@5 80.000 (77.259) Epoch: [39][8130/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.1309 (2.0772) Prec@1 47.500 (46.723) Prec@5 76.875 (77.259) Epoch: [39][8140/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 2.0653 (2.0772) Prec@1 50.625 (46.722) Prec@5 77.500 (77.259) Epoch: [39][8150/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.9699 (2.0772) Prec@1 48.125 (46.721) Prec@5 81.250 (77.260) Epoch: [39][8160/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.1820 (2.0772) Prec@1 46.875 (46.718) Prec@5 76.875 (77.260) Epoch: [39][8170/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 2.3269 (2.0772) Prec@1 42.500 (46.720) Prec@5 70.625 (77.261) Epoch: [39][8180/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 2.2587 (2.0772) Prec@1 44.375 (46.720) Prec@5 70.000 (77.261) Epoch: [39][8190/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.0615 (2.0772) Prec@1 45.625 (46.719) Prec@5 79.375 (77.260) Epoch: [39][8200/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.0330 (2.0772) Prec@1 51.250 (46.720) Prec@5 76.875 (77.260) Epoch: [39][8210/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.8252 (2.0772) Prec@1 48.125 (46.720) Prec@5 83.125 (77.261) Epoch: [39][8220/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 1.8591 (2.0773) Prec@1 51.250 (46.719) Prec@5 80.000 (77.258) Epoch: [39][8230/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0784 (2.0773) Prec@1 48.125 (46.719) Prec@5 76.250 (77.258) Epoch: [39][8240/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.1251 (2.0772) Prec@1 46.875 (46.721) Prec@5 75.625 (77.259) Epoch: [39][8250/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.1756 (2.0772) Prec@1 43.125 (46.721) Prec@5 80.000 (77.261) Epoch: [39][8260/11272] Time 0.777 (0.794) Data 0.002 (0.002) Loss 2.0025 (2.0771) Prec@1 45.000 (46.722) Prec@5 77.500 (77.262) Epoch: [39][8270/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 1.7628 (2.0770) Prec@1 54.375 (46.725) Prec@5 81.250 (77.264) Epoch: [39][8280/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.1871 (2.0771) Prec@1 43.750 (46.724) Prec@5 75.625 (77.264) Epoch: [39][8290/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1026 (2.0771) Prec@1 44.375 (46.722) Prec@5 78.125 (77.265) Epoch: [39][8300/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.9830 (2.0771) Prec@1 48.750 (46.722) Prec@5 80.625 (77.266) Epoch: [39][8310/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.8610 (2.0771) Prec@1 50.000 (46.722) Prec@5 84.375 (77.266) Epoch: [39][8320/11272] Time 0.721 (0.794) Data 0.003 (0.002) Loss 2.1016 (2.0772) Prec@1 45.625 (46.720) Prec@5 80.625 (77.265) Epoch: [39][8330/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.8973 (2.0772) Prec@1 50.000 (46.721) Prec@5 81.875 (77.265) Epoch: [39][8340/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.2248 (2.0771) Prec@1 45.625 (46.723) Prec@5 76.250 (77.267) Epoch: [39][8350/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.0761 (2.0770) Prec@1 41.250 (46.724) Prec@5 80.625 (77.267) Epoch: [39][8360/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.2257 (2.0771) Prec@1 46.250 (46.723) Prec@5 74.375 (77.266) Epoch: [39][8370/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0291 (2.0770) Prec@1 46.250 (46.724) Prec@5 75.625 (77.267) Epoch: [39][8380/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.3201 (2.0770) Prec@1 43.125 (46.724) Prec@5 71.875 (77.267) Epoch: [39][8390/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 1.9933 (2.0771) Prec@1 50.000 (46.724) Prec@5 80.625 (77.265) Epoch: [39][8400/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1260 (2.0770) Prec@1 45.625 (46.726) Prec@5 75.000 (77.267) Epoch: [39][8410/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0460 (2.0770) Prec@1 51.250 (46.727) Prec@5 76.250 (77.267) Epoch: [39][8420/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9477 (2.0769) Prec@1 48.125 (46.726) Prec@5 81.875 (77.268) Epoch: [39][8430/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.3129 (2.0770) Prec@1 41.875 (46.726) Prec@5 72.500 (77.268) Epoch: [39][8440/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9020 (2.0770) Prec@1 50.625 (46.724) Prec@5 80.000 (77.266) Epoch: [39][8450/11272] Time 0.884 (0.794) Data 0.001 (0.002) Loss 1.9353 (2.0770) Prec@1 48.750 (46.725) Prec@5 79.375 (77.267) Epoch: [39][8460/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.9936 (2.0770) Prec@1 45.625 (46.723) Prec@5 80.000 (77.265) Epoch: [39][8470/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.9724 (2.0770) Prec@1 49.375 (46.725) Prec@5 79.375 (77.265) Epoch: [39][8480/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.3511 (2.0771) Prec@1 41.250 (46.724) Prec@5 71.250 (77.263) Epoch: [39][8490/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.0160 (2.0771) Prec@1 47.500 (46.723) Prec@5 76.250 (77.264) Epoch: [39][8500/11272] Time 0.803 (0.794) Data 0.001 (0.002) Loss 2.0589 (2.0771) Prec@1 46.250 (46.723) Prec@5 76.250 (77.262) Epoch: [39][8510/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9724 (2.0771) Prec@1 48.125 (46.721) Prec@5 78.125 (77.262) Epoch: [39][8520/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0932 (2.0770) Prec@1 44.375 (46.722) Prec@5 75.000 (77.264) Epoch: [39][8530/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.2346 (2.0771) Prec@1 47.500 (46.723) Prec@5 73.750 (77.263) Epoch: [39][8540/11272] Time 0.813 (0.794) Data 0.001 (0.002) Loss 2.1179 (2.0771) Prec@1 50.625 (46.724) Prec@5 74.375 (77.264) Epoch: [39][8550/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.9207 (2.0770) Prec@1 48.750 (46.725) Prec@5 81.875 (77.266) Epoch: [39][8560/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 2.0583 (2.0771) Prec@1 43.125 (46.721) Prec@5 79.375 (77.263) Epoch: [39][8570/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.0900 (2.0772) Prec@1 45.625 (46.719) Prec@5 71.875 (77.262) Epoch: [39][8580/11272] Time 0.754 (0.794) Data 0.004 (0.002) Loss 2.0306 (2.0772) Prec@1 50.625 (46.716) Prec@5 80.000 (77.260) Epoch: [39][8590/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.1225 (2.0773) Prec@1 46.875 (46.716) Prec@5 79.375 (77.261) Epoch: [39][8600/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.3446 (2.0773) Prec@1 41.250 (46.716) Prec@5 70.000 (77.260) Epoch: [39][8610/11272] Time 0.890 (0.794) Data 0.002 (0.002) Loss 2.2487 (2.0773) Prec@1 36.875 (46.717) Prec@5 73.750 (77.260) Epoch: [39][8620/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 2.3444 (2.0774) Prec@1 41.875 (46.715) Prec@5 74.375 (77.258) Epoch: [39][8630/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.3684 (2.0774) Prec@1 41.875 (46.715) Prec@5 71.250 (77.257) Epoch: [39][8640/11272] Time 0.912 (0.794) Data 0.002 (0.002) Loss 2.0630 (2.0775) Prec@1 40.625 (46.712) Prec@5 78.125 (77.256) Epoch: [39][8650/11272] Time 0.791 (0.794) Data 0.001 (0.002) Loss 1.9871 (2.0776) Prec@1 50.625 (46.711) Prec@5 80.000 (77.255) Epoch: [39][8660/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.0901 (2.0776) Prec@1 48.125 (46.710) Prec@5 80.000 (77.254) Epoch: [39][8670/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.8732 (2.0777) Prec@1 46.875 (46.708) Prec@5 81.875 (77.253) Epoch: [39][8680/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9364 (2.0776) Prec@1 43.125 (46.708) Prec@5 81.250 (77.254) Epoch: [39][8690/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 2.4256 (2.0777) Prec@1 44.375 (46.708) Prec@5 70.625 (77.252) Epoch: [39][8700/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.9483 (2.0777) Prec@1 49.375 (46.706) Prec@5 79.375 (77.252) Epoch: [39][8710/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 1.9364 (2.0777) Prec@1 45.625 (46.707) Prec@5 81.875 (77.252) Epoch: [39][8720/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.8578 (2.0777) Prec@1 44.375 (46.708) Prec@5 83.125 (77.253) Epoch: [39][8730/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.2692 (2.0777) Prec@1 46.875 (46.705) Prec@5 73.750 (77.252) Epoch: [39][8740/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0067 (2.0777) Prec@1 43.750 (46.707) Prec@5 78.125 (77.252) Epoch: [39][8750/11272] Time 0.804 (0.794) Data 0.001 (0.002) Loss 2.1766 (2.0776) Prec@1 43.125 (46.707) Prec@5 76.875 (77.252) Epoch: [39][8760/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.9809 (2.0776) Prec@1 50.000 (46.708) Prec@5 76.875 (77.253) Epoch: [39][8770/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 2.0664 (2.0776) Prec@1 46.875 (46.708) Prec@5 78.750 (77.252) Epoch: [39][8780/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.9435 (2.0777) Prec@1 48.750 (46.707) Prec@5 77.500 (77.250) Epoch: [39][8790/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 2.0681 (2.0777) Prec@1 50.000 (46.705) Prec@5 75.000 (77.251) Epoch: [39][8800/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.1921 (2.0777) Prec@1 41.875 (46.704) Prec@5 75.000 (77.251) Epoch: [39][8810/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0981 (2.0778) Prec@1 44.375 (46.702) Prec@5 73.750 (77.249) Epoch: [39][8820/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.2891 (2.0778) Prec@1 38.750 (46.701) Prec@5 73.750 (77.250) Epoch: [39][8830/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.9505 (2.0778) Prec@1 46.875 (46.700) Prec@5 81.250 (77.251) Epoch: [39][8840/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.0433 (2.0778) Prec@1 43.125 (46.700) Prec@5 80.000 (77.250) Epoch: [39][8850/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0725 (2.0778) Prec@1 49.375 (46.700) Prec@5 78.750 (77.249) Epoch: [39][8860/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 2.1013 (2.0779) Prec@1 47.500 (46.698) Prec@5 77.500 (77.249) Epoch: [39][8870/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.3508 (2.0779) Prec@1 37.500 (46.699) Prec@5 68.750 (77.249) Epoch: [39][8880/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9188 (2.0779) Prec@1 45.625 (46.700) Prec@5 81.875 (77.248) Epoch: [39][8890/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.9102 (2.0779) Prec@1 46.875 (46.700) Prec@5 81.875 (77.247) Epoch: [39][8900/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 2.0794 (2.0779) Prec@1 51.875 (46.700) Prec@5 75.625 (77.246) Epoch: [39][8910/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.2228 (2.0779) Prec@1 41.875 (46.701) Prec@5 79.375 (77.248) Epoch: [39][8920/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.3352 (2.0780) Prec@1 43.125 (46.698) Prec@5 72.500 (77.246) Epoch: [39][8930/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9413 (2.0780) Prec@1 50.000 (46.698) Prec@5 80.625 (77.247) Epoch: [39][8940/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.1264 (2.0781) Prec@1 43.125 (46.695) Prec@5 77.500 (77.246) Epoch: [39][8950/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.0753 (2.0781) Prec@1 45.625 (46.695) Prec@5 79.375 (77.245) Epoch: [39][8960/11272] Time 0.765 (0.794) Data 0.003 (0.002) Loss 2.1454 (2.0781) Prec@1 44.375 (46.695) Prec@5 80.000 (77.245) Epoch: [39][8970/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9702 (2.0781) Prec@1 49.375 (46.694) Prec@5 78.750 (77.246) Epoch: [39][8980/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.0988 (2.0782) Prec@1 46.875 (46.693) Prec@5 74.375 (77.244) Epoch: [39][8990/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.9510 (2.0781) Prec@1 50.625 (46.694) Prec@5 82.500 (77.246) Epoch: [39][9000/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.1435 (2.0781) Prec@1 41.250 (46.694) Prec@5 80.000 (77.247) Epoch: [39][9010/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 1.9995 (2.0781) Prec@1 48.750 (46.694) Prec@5 78.750 (77.247) Epoch: [39][9020/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.2081 (2.0782) Prec@1 48.125 (46.692) Prec@5 73.125 (77.247) Epoch: [39][9030/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 1.8167 (2.0781) Prec@1 53.125 (46.694) Prec@5 81.875 (77.248) Epoch: [39][9040/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.8968 (2.0781) Prec@1 52.500 (46.695) Prec@5 80.000 (77.248) Epoch: [39][9050/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.9212 (2.0781) Prec@1 51.250 (46.694) Prec@5 79.375 (77.246) Epoch: [39][9060/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 1.9581 (2.0781) Prec@1 51.875 (46.694) Prec@5 76.250 (77.246) Epoch: [39][9070/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.3327 (2.0782) Prec@1 45.000 (46.694) Prec@5 73.125 (77.245) Epoch: [39][9080/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 1.9724 (2.0781) Prec@1 53.125 (46.696) Prec@5 78.125 (77.245) Epoch: [39][9090/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9066 (2.0782) Prec@1 48.125 (46.696) Prec@5 83.750 (77.246) Epoch: [39][9100/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 1.9004 (2.0781) Prec@1 53.125 (46.697) Prec@5 81.250 (77.249) Epoch: [39][9110/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.2361 (2.0781) Prec@1 42.500 (46.698) Prec@5 74.375 (77.247) Epoch: [39][9120/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.0105 (2.0780) Prec@1 47.500 (46.700) Prec@5 78.750 (77.250) Epoch: [39][9130/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 1.9215 (2.0780) Prec@1 50.625 (46.702) Prec@5 78.750 (77.250) Epoch: [39][9140/11272] Time 0.761 (0.794) Data 0.002 (0.002) Loss 1.9563 (2.0780) Prec@1 48.750 (46.704) Prec@5 78.750 (77.251) Epoch: [39][9150/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.1931 (2.0779) Prec@1 47.500 (46.706) Prec@5 79.375 (77.252) Epoch: [39][9160/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 2.0613 (2.0780) Prec@1 46.875 (46.705) Prec@5 78.125 (77.251) Epoch: [39][9170/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.2833 (2.0780) Prec@1 45.000 (46.705) Prec@5 74.375 (77.250) Epoch: [39][9180/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.2591 (2.0780) Prec@1 39.375 (46.707) Prec@5 75.000 (77.251) Epoch: [39][9190/11272] Time 0.710 (0.794) Data 0.001 (0.002) Loss 1.9114 (2.0780) Prec@1 48.125 (46.706) Prec@5 81.250 (77.252) Epoch: [39][9200/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.1925 (2.0781) Prec@1 41.875 (46.705) Prec@5 75.000 (77.250) Epoch: [39][9210/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.8074 (2.0780) Prec@1 55.625 (46.705) Prec@5 85.000 (77.251) Epoch: [39][9220/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.2191 (2.0781) Prec@1 49.375 (46.704) Prec@5 76.875 (77.249) Epoch: [39][9230/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0049 (2.0782) Prec@1 45.625 (46.702) Prec@5 76.875 (77.248) Epoch: [39][9240/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.8629 (2.0781) Prec@1 53.125 (46.703) Prec@5 83.125 (77.251) Epoch: [39][9250/11272] Time 0.725 (0.794) Data 0.003 (0.002) Loss 2.0363 (2.0781) Prec@1 46.250 (46.702) Prec@5 79.375 (77.251) Epoch: [39][9260/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.2622 (2.0781) Prec@1 45.000 (46.703) Prec@5 73.750 (77.251) Epoch: [39][9270/11272] Time 0.877 (0.794) Data 0.002 (0.002) Loss 1.9826 (2.0781) Prec@1 46.875 (46.702) Prec@5 79.375 (77.251) Epoch: [39][9280/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.0644 (2.0780) Prec@1 47.500 (46.704) Prec@5 78.125 (77.254) Epoch: [39][9290/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0950 (2.0780) Prec@1 47.500 (46.703) Prec@5 76.250 (77.253) Epoch: [39][9300/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.7736 (2.0780) Prec@1 48.125 (46.704) Prec@5 86.250 (77.255) Epoch: [39][9310/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 2.0759 (2.0780) Prec@1 46.875 (46.704) Prec@5 76.250 (77.255) Epoch: [39][9320/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 2.0982 (2.0780) Prec@1 42.500 (46.704) Prec@5 78.125 (77.255) Epoch: [39][9330/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.9580 (2.0779) Prec@1 41.875 (46.704) Prec@5 82.500 (77.256) Epoch: [39][9340/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.2217 (2.0779) Prec@1 43.750 (46.704) Prec@5 73.750 (77.254) Epoch: [39][9350/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 2.1376 (2.0780) Prec@1 41.875 (46.702) Prec@5 78.125 (77.253) Epoch: [39][9360/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.8896 (2.0781) Prec@1 46.250 (46.702) Prec@5 81.875 (77.252) Epoch: [39][9370/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.1382 (2.0780) Prec@1 46.250 (46.704) Prec@5 74.375 (77.253) Epoch: [39][9380/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.3226 (2.0780) Prec@1 40.000 (46.702) Prec@5 71.875 (77.253) Epoch: [39][9390/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.9068 (2.0780) Prec@1 48.750 (46.703) Prec@5 81.250 (77.251) Epoch: [39][9400/11272] Time 0.748 (0.794) Data 0.003 (0.002) Loss 2.2015 (2.0780) Prec@1 47.500 (46.704) Prec@5 74.375 (77.252) Epoch: [39][9410/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.8029 (2.0780) Prec@1 52.500 (46.705) Prec@5 83.125 (77.252) Epoch: [39][9420/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.1974 (2.0781) Prec@1 46.250 (46.704) Prec@5 76.250 (77.251) Epoch: [39][9430/11272] Time 0.874 (0.794) Data 0.002 (0.002) Loss 1.9170 (2.0780) Prec@1 44.375 (46.705) Prec@5 81.250 (77.253) Epoch: [39][9440/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.0187 (2.0779) Prec@1 51.250 (46.708) Prec@5 78.125 (77.253) Epoch: [39][9450/11272] Time 0.709 (0.794) Data 0.001 (0.002) Loss 2.0318 (2.0780) Prec@1 54.375 (46.706) Prec@5 78.750 (77.254) Epoch: [39][9460/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.1003 (2.0780) Prec@1 41.250 (46.706) Prec@5 78.125 (77.252) Epoch: [39][9470/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.3688 (2.0780) Prec@1 43.125 (46.707) Prec@5 68.750 (77.251) Epoch: [39][9480/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 1.9672 (2.0780) Prec@1 51.875 (46.707) Prec@5 76.250 (77.251) Epoch: [39][9490/11272] Time 0.724 (0.794) Data 0.002 (0.002) Loss 2.0486 (2.0779) Prec@1 48.125 (46.708) Prec@5 80.000 (77.253) Epoch: [39][9500/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9823 (2.0779) Prec@1 48.750 (46.708) Prec@5 76.250 (77.252) Epoch: [39][9510/11272] Time 0.729 (0.794) Data 0.003 (0.002) Loss 2.0738 (2.0779) Prec@1 47.500 (46.707) Prec@5 75.000 (77.253) Epoch: [39][9520/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.1353 (2.0779) Prec@1 48.125 (46.708) Prec@5 75.625 (77.253) Epoch: [39][9530/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.1132 (2.0780) Prec@1 46.875 (46.706) Prec@5 75.000 (77.249) Epoch: [39][9540/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.2074 (2.0780) Prec@1 44.375 (46.706) Prec@5 73.750 (77.249) Epoch: [39][9550/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.1910 (2.0781) Prec@1 46.250 (46.706) Prec@5 76.250 (77.248) Epoch: [39][9560/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.2033 (2.0781) Prec@1 40.625 (46.704) Prec@5 72.500 (77.247) Epoch: [39][9570/11272] Time 0.908 (0.794) Data 0.002 (0.002) Loss 2.1975 (2.0782) Prec@1 40.625 (46.702) Prec@5 78.750 (77.246) Epoch: [39][9580/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 1.9783 (2.0782) Prec@1 50.625 (46.704) Prec@5 79.375 (77.247) Epoch: [39][9590/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0366 (2.0782) Prec@1 47.500 (46.704) Prec@5 75.000 (77.246) Epoch: [39][9600/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.1286 (2.0782) Prec@1 43.125 (46.706) Prec@5 73.750 (77.245) Epoch: [39][9610/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.1772 (2.0782) Prec@1 41.875 (46.704) Prec@5 78.125 (77.243) Epoch: [39][9620/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.0962 (2.0782) Prec@1 46.875 (46.704) Prec@5 77.500 (77.244) Epoch: [39][9630/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.1103 (2.0783) Prec@1 45.625 (46.702) Prec@5 79.375 (77.244) Epoch: [39][9640/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 1.9450 (2.0784) Prec@1 46.875 (46.703) Prec@5 80.000 (77.244) Epoch: [39][9650/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.8979 (2.0783) Prec@1 50.000 (46.703) Prec@5 81.250 (77.244) Epoch: [39][9660/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.1301 (2.0784) Prec@1 46.250 (46.703) Prec@5 79.375 (77.242) Epoch: [39][9670/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 2.0583 (2.0784) Prec@1 46.875 (46.700) Prec@5 79.375 (77.242) Epoch: [39][9680/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0559 (2.0785) Prec@1 48.750 (46.699) Prec@5 76.875 (77.241) Epoch: [39][9690/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.7397 (2.0785) Prec@1 55.625 (46.700) Prec@5 82.500 (77.241) Epoch: [39][9700/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 1.9294 (2.0786) Prec@1 50.000 (46.701) Prec@5 78.750 (77.239) Epoch: [39][9710/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.8410 (2.0785) Prec@1 51.250 (46.701) Prec@5 77.500 (77.238) Epoch: [39][9720/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.7691 (2.0785) Prec@1 58.125 (46.703) Prec@5 83.750 (77.240) Epoch: [39][9730/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.2602 (2.0785) Prec@1 41.250 (46.704) Prec@5 73.750 (77.239) Epoch: [39][9740/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 1.9968 (2.0786) Prec@1 50.000 (46.702) Prec@5 78.125 (77.238) Epoch: [39][9750/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.9387 (2.0785) Prec@1 49.375 (46.702) Prec@5 77.500 (77.239) Epoch: [39][9760/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.9806 (2.0785) Prec@1 45.625 (46.703) Prec@5 80.625 (77.239) Epoch: [39][9770/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.1964 (2.0785) Prec@1 44.375 (46.704) Prec@5 75.625 (77.239) Epoch: [39][9780/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.9111 (2.0785) Prec@1 47.500 (46.704) Prec@5 77.500 (77.238) Epoch: [39][9790/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.2166 (2.0785) Prec@1 41.250 (46.703) Prec@5 71.875 (77.238) Epoch: [39][9800/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0295 (2.0786) Prec@1 51.250 (46.702) Prec@5 77.500 (77.237) Epoch: [39][9810/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.0314 (2.0786) Prec@1 55.000 (46.704) Prec@5 76.250 (77.237) Epoch: [39][9820/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.2298 (2.0785) Prec@1 44.375 (46.705) Prec@5 77.500 (77.238) Epoch: [39][9830/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 1.8942 (2.0786) Prec@1 51.875 (46.704) Prec@5 82.500 (77.237) Epoch: [39][9840/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9614 (2.0786) Prec@1 48.750 (46.703) Prec@5 80.625 (77.238) Epoch: [39][9850/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 1.7320 (2.0786) Prec@1 52.500 (46.705) Prec@5 86.250 (77.237) Epoch: [39][9860/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.3269 (2.0787) Prec@1 45.000 (46.705) Prec@5 72.500 (77.235) Epoch: [39][9870/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.2150 (2.0787) Prec@1 39.375 (46.704) Prec@5 77.500 (77.237) Epoch: [39][9880/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1368 (2.0786) Prec@1 42.500 (46.705) Prec@5 77.500 (77.238) Epoch: [39][9890/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.9759 (2.0786) Prec@1 48.750 (46.704) Prec@5 79.375 (77.238) Epoch: [39][9900/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.2888 (2.0787) Prec@1 42.500 (46.703) Prec@5 79.375 (77.239) Epoch: [39][9910/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.2359 (2.0787) Prec@1 43.750 (46.703) Prec@5 75.000 (77.239) Epoch: [39][9920/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.2657 (2.0787) Prec@1 40.000 (46.702) Prec@5 75.000 (77.240) Epoch: [39][9930/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.3188 (2.0788) Prec@1 41.250 (46.700) Prec@5 73.125 (77.240) Epoch: [39][9940/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.0917 (2.0788) Prec@1 48.750 (46.701) Prec@5 74.375 (77.238) Epoch: [39][9950/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.9311 (2.0788) Prec@1 53.750 (46.700) Prec@5 78.125 (77.236) Epoch: [39][9960/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0134 (2.0788) Prec@1 42.500 (46.700) Prec@5 76.250 (77.235) Epoch: [39][9970/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.1260 (2.0789) Prec@1 46.875 (46.699) Prec@5 74.375 (77.235) Epoch: [39][9980/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0447 (2.0789) Prec@1 44.375 (46.698) Prec@5 76.250 (77.234) Epoch: [39][9990/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.2313 (2.0789) Prec@1 41.875 (46.697) Prec@5 76.875 (77.234) Epoch: [39][10000/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.2580 (2.0790) Prec@1 43.125 (46.694) Prec@5 73.125 (77.232) Epoch: [39][10010/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1530 (2.0790) Prec@1 46.875 (46.693) Prec@5 72.500 (77.231) Epoch: [39][10020/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.0735 (2.0791) Prec@1 45.000 (46.691) Prec@5 77.500 (77.231) Epoch: [39][10030/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 1.9743 (2.0791) Prec@1 50.000 (46.692) Prec@5 80.000 (77.231) Epoch: [39][10040/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.0668 (2.0791) Prec@1 42.500 (46.689) Prec@5 81.250 (77.230) Epoch: [39][10050/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 2.1720 (2.0791) Prec@1 43.125 (46.690) Prec@5 73.750 (77.231) Epoch: [39][10060/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.2770 (2.0791) Prec@1 38.750 (46.691) Prec@5 71.875 (77.231) Epoch: [39][10070/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.2590 (2.0791) Prec@1 44.375 (46.689) Prec@5 71.875 (77.229) Epoch: [39][10080/11272] Time 0.763 (0.794) Data 0.001 (0.002) Loss 2.2220 (2.0791) Prec@1 42.500 (46.690) Prec@5 73.750 (77.227) Epoch: [39][10090/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 1.9670 (2.0791) Prec@1 45.625 (46.690) Prec@5 80.625 (77.228) Epoch: [39][10100/11272] Time 0.862 (0.794) Data 0.001 (0.002) Loss 2.2083 (2.0792) Prec@1 45.625 (46.690) Prec@5 75.625 (77.227) Epoch: [39][10110/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0563 (2.0791) Prec@1 47.500 (46.691) Prec@5 76.875 (77.227) Epoch: [39][10120/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9603 (2.0791) Prec@1 57.500 (46.691) Prec@5 78.750 (77.227) Epoch: [39][10130/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.2688 (2.0791) Prec@1 38.125 (46.691) Prec@5 72.500 (77.227) Epoch: [39][10140/11272] Time 0.814 (0.794) Data 0.002 (0.002) Loss 2.0130 (2.0791) Prec@1 51.875 (46.691) Prec@5 78.125 (77.227) Epoch: [39][10150/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0402 (2.0791) Prec@1 48.125 (46.691) Prec@5 77.500 (77.228) Epoch: [39][10160/11272] Time 0.760 (0.794) Data 0.002 (0.002) Loss 1.8816 (2.0791) Prec@1 51.875 (46.691) Prec@5 79.375 (77.228) Epoch: [39][10170/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.4169 (2.0791) Prec@1 40.000 (46.691) Prec@5 74.375 (77.228) Epoch: [39][10180/11272] Time 0.734 (0.794) Data 0.003 (0.002) Loss 2.0459 (2.0791) Prec@1 46.250 (46.692) Prec@5 80.000 (77.229) Epoch: [39][10190/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.0273 (2.0791) Prec@1 46.250 (46.691) Prec@5 78.125 (77.229) Epoch: [39][10200/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.1009 (2.0791) Prec@1 42.500 (46.690) Prec@5 76.250 (77.228) Epoch: [39][10210/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.0603 (2.0791) Prec@1 44.375 (46.690) Prec@5 78.125 (77.228) Epoch: [39][10220/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.9104 (2.0792) Prec@1 50.625 (46.688) Prec@5 78.125 (77.227) Epoch: [39][10230/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1466 (2.0793) Prec@1 45.000 (46.686) Prec@5 74.375 (77.225) Epoch: [39][10240/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.0966 (2.0793) Prec@1 45.000 (46.686) Prec@5 78.125 (77.225) Epoch: [39][10250/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.0874 (2.0793) Prec@1 46.250 (46.686) Prec@5 80.000 (77.224) Epoch: [39][10260/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.3191 (2.0794) Prec@1 43.125 (46.687) Prec@5 78.750 (77.224) Epoch: [39][10270/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1703 (2.0794) Prec@1 46.875 (46.686) Prec@5 78.750 (77.225) Epoch: [39][10280/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.2522 (2.0793) Prec@1 46.250 (46.688) Prec@5 74.375 (77.225) Epoch: [39][10290/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 1.8553 (2.0793) Prec@1 48.125 (46.690) Prec@5 80.000 (77.227) Epoch: [39][10300/11272] Time 0.749 (0.794) Data 0.006 (0.002) Loss 2.3657 (2.0793) Prec@1 42.500 (46.689) Prec@5 71.250 (77.227) Epoch: [39][10310/11272] Time 0.813 (0.794) Data 0.001 (0.002) Loss 1.8730 (2.0793) Prec@1 50.000 (46.689) Prec@5 81.250 (77.227) Epoch: [39][10320/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1847 (2.0793) Prec@1 38.125 (46.689) Prec@5 78.125 (77.227) Epoch: [39][10330/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.1194 (2.0793) Prec@1 46.250 (46.689) Prec@5 79.375 (77.228) Epoch: [39][10340/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 1.9555 (2.0793) Prec@1 48.750 (46.688) Prec@5 81.250 (77.228) Epoch: [39][10350/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.2427 (2.0794) Prec@1 45.000 (46.686) Prec@5 79.375 (77.229) Epoch: [39][10360/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.3978 (2.0794) Prec@1 43.125 (46.686) Prec@5 69.375 (77.228) Epoch: [39][10370/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.0653 (2.0794) Prec@1 48.750 (46.685) Prec@5 75.625 (77.225) Epoch: [39][10380/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1854 (2.0795) Prec@1 42.500 (46.684) Prec@5 75.000 (77.224) Epoch: [39][10390/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.0023 (2.0796) Prec@1 44.375 (46.683) Prec@5 75.625 (77.223) Epoch: [39][10400/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.9030 (2.0796) Prec@1 50.000 (46.682) Prec@5 81.250 (77.223) Epoch: [39][10410/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.8439 (2.0796) Prec@1 47.500 (46.681) Prec@5 79.375 (77.221) Epoch: [39][10420/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0850 (2.0796) Prec@1 41.875 (46.681) Prec@5 77.500 (77.222) Epoch: [39][10430/11272] Time 0.906 (0.794) Data 0.002 (0.002) Loss 2.0938 (2.0796) Prec@1 46.875 (46.681) Prec@5 75.000 (77.221) Epoch: [39][10440/11272] Time 0.725 (0.794) Data 0.003 (0.002) Loss 2.0189 (2.0796) Prec@1 54.375 (46.681) Prec@5 75.000 (77.220) Epoch: [39][10450/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.1910 (2.0796) Prec@1 43.750 (46.682) Prec@5 72.500 (77.221) Epoch: [39][10460/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.9674 (2.0796) Prec@1 46.250 (46.681) Prec@5 78.750 (77.220) Epoch: [39][10470/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.0377 (2.0797) Prec@1 49.375 (46.679) Prec@5 76.875 (77.218) Epoch: [39][10480/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.1213 (2.0797) Prec@1 44.375 (46.679) Prec@5 78.125 (77.217) Epoch: [39][10490/11272] Time 0.719 (0.794) Data 0.002 (0.002) Loss 2.0102 (2.0798) Prec@1 45.625 (46.678) Prec@5 79.375 (77.217) Epoch: [39][10500/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.0833 (2.0798) Prec@1 46.875 (46.678) Prec@5 76.875 (77.217) Epoch: [39][10510/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.1934 (2.0799) Prec@1 43.750 (46.675) Prec@5 76.250 (77.215) Epoch: [39][10520/11272] Time 0.764 (0.794) Data 0.002 (0.002) Loss 2.0905 (2.0799) Prec@1 50.000 (46.675) Prec@5 76.250 (77.215) Epoch: [39][10530/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9765 (2.0799) Prec@1 48.750 (46.676) Prec@5 79.375 (77.215) Epoch: [39][10540/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.0002 (2.0798) Prec@1 48.750 (46.677) Prec@5 76.875 (77.216) Epoch: [39][10550/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 2.1469 (2.0799) Prec@1 45.625 (46.675) Prec@5 74.375 (77.214) Epoch: [39][10560/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.0066 (2.0798) Prec@1 49.375 (46.676) Prec@5 81.875 (77.215) Epoch: [39][10570/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 2.4262 (2.0799) Prec@1 40.000 (46.676) Prec@5 70.625 (77.213) Epoch: [39][10580/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 2.2422 (2.0799) Prec@1 38.125 (46.677) Prec@5 75.625 (77.212) Epoch: [39][10590/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.1746 (2.0798) Prec@1 43.125 (46.678) Prec@5 75.625 (77.212) Epoch: [39][10600/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.2589 (2.0799) Prec@1 43.750 (46.677) Prec@5 76.250 (77.210) Epoch: [39][10610/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.1994 (2.0800) Prec@1 42.500 (46.673) Prec@5 73.750 (77.209) Epoch: [39][10620/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.0063 (2.0800) Prec@1 45.000 (46.672) Prec@5 80.000 (77.210) Epoch: [39][10630/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0822 (2.0799) Prec@1 49.375 (46.673) Prec@5 76.875 (77.210) Epoch: [39][10640/11272] Time 0.769 (0.794) Data 0.001 (0.002) Loss 2.2754 (2.0800) Prec@1 38.750 (46.673) Prec@5 75.000 (77.210) Epoch: [39][10650/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.4238 (2.0800) Prec@1 43.750 (46.673) Prec@5 70.625 (77.208) Epoch: [39][10660/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.1101 (2.0799) Prec@1 43.125 (46.673) Prec@5 75.000 (77.210) Epoch: [39][10670/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0598 (2.0800) Prec@1 45.625 (46.672) Prec@5 79.375 (77.209) Epoch: [39][10680/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.9587 (2.0801) Prec@1 50.000 (46.671) Prec@5 85.625 (77.209) Epoch: [39][10690/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.7021 (2.0800) Prec@1 50.000 (46.672) Prec@5 81.875 (77.208) Epoch: [39][10700/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.7940 (2.0801) Prec@1 55.000 (46.673) Prec@5 78.750 (77.208) Epoch: [39][10710/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0684 (2.0801) Prec@1 45.000 (46.672) Prec@5 75.625 (77.207) Epoch: [39][10720/11272] Time 0.897 (0.794) Data 0.002 (0.002) Loss 2.2078 (2.0802) Prec@1 45.625 (46.671) Prec@5 76.875 (77.206) Epoch: [39][10730/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.8915 (2.0801) Prec@1 49.375 (46.672) Prec@5 80.000 (77.208) Epoch: [39][10740/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0259 (2.0801) Prec@1 48.125 (46.672) Prec@5 76.875 (77.207) Epoch: [39][10750/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1459 (2.0802) Prec@1 48.750 (46.672) Prec@5 77.500 (77.206) Epoch: [39][10760/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 2.0565 (2.0802) Prec@1 45.625 (46.671) Prec@5 78.750 (77.206) Epoch: [39][10770/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.2355 (2.0802) Prec@1 41.250 (46.669) Prec@5 78.125 (77.205) Epoch: [39][10780/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.3259 (2.0802) Prec@1 39.375 (46.668) Prec@5 73.125 (77.206) Epoch: [39][10790/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.1228 (2.0802) Prec@1 43.750 (46.668) Prec@5 77.500 (77.206) Epoch: [39][10800/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.9858 (2.0802) Prec@1 48.750 (46.666) Prec@5 79.375 (77.205) Epoch: [39][10810/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.8613 (2.0802) Prec@1 50.000 (46.667) Prec@5 81.875 (77.206) Epoch: [39][10820/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2779 (2.0802) Prec@1 42.500 (46.666) Prec@5 74.375 (77.205) Epoch: [39][10830/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1317 (2.0803) Prec@1 46.875 (46.664) Prec@5 75.000 (77.203) Epoch: [39][10840/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0355 (2.0803) Prec@1 48.125 (46.665) Prec@5 73.750 (77.202) Epoch: [39][10850/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1650 (2.0804) Prec@1 47.500 (46.663) Prec@5 74.375 (77.201) Epoch: [39][10860/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0345 (2.0805) Prec@1 46.250 (46.663) Prec@5 80.000 (77.201) Epoch: [39][10870/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.1418 (2.0804) Prec@1 45.625 (46.662) Prec@5 74.375 (77.201) Epoch: [39][10880/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.1348 (2.0805) Prec@1 47.500 (46.662) Prec@5 80.000 (77.201) Epoch: [39][10890/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.9739 (2.0805) Prec@1 46.875 (46.662) Prec@5 78.750 (77.200) Epoch: [39][10900/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 1.8968 (2.0804) Prec@1 52.500 (46.663) Prec@5 81.250 (77.202) Epoch: [39][10910/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0531 (2.0804) Prec@1 47.500 (46.663) Prec@5 78.125 (77.202) Epoch: [39][10920/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.3421 (2.0804) Prec@1 42.500 (46.663) Prec@5 74.375 (77.202) Epoch: [39][10930/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.3183 (2.0805) Prec@1 40.000 (46.660) Prec@5 71.250 (77.202) Epoch: [39][10940/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.0936 (2.0805) Prec@1 43.125 (46.660) Prec@5 76.875 (77.201) Epoch: [39][10950/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 2.3002 (2.0805) Prec@1 45.000 (46.660) Prec@5 71.875 (77.199) Epoch: [39][10960/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.2518 (2.0805) Prec@1 38.750 (46.659) Prec@5 73.750 (77.199) Epoch: [39][10970/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.1766 (2.0806) Prec@1 42.500 (46.658) Prec@5 75.000 (77.198) Epoch: [39][10980/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.2434 (2.0806) Prec@1 41.250 (46.656) Prec@5 73.125 (77.197) Epoch: [39][10990/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.2993 (2.0806) Prec@1 43.750 (46.656) Prec@5 73.125 (77.197) Epoch: [39][11000/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0250 (2.0805) Prec@1 48.125 (46.658) Prec@5 80.625 (77.199) Epoch: [39][11010/11272] Time 0.771 (0.794) Data 0.001 (0.002) Loss 2.1173 (2.0806) Prec@1 44.375 (46.657) Prec@5 75.000 (77.198) Epoch: [39][11020/11272] Time 0.872 (0.794) Data 0.001 (0.002) Loss 1.6786 (2.0806) Prec@1 55.000 (46.658) Prec@5 89.375 (77.198) Epoch: [39][11030/11272] Time 0.943 (0.794) Data 0.002 (0.002) Loss 1.9706 (2.0805) Prec@1 49.375 (46.658) Prec@5 83.750 (77.200) Epoch: [39][11040/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0799 (2.0805) Prec@1 45.000 (46.659) Prec@5 75.000 (77.201) Epoch: [39][11050/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.2958 (2.0805) Prec@1 40.000 (46.659) Prec@5 72.500 (77.201) Epoch: [39][11060/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.2052 (2.0805) Prec@1 41.875 (46.660) Prec@5 74.375 (77.200) Epoch: [39][11070/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.9943 (2.0805) Prec@1 50.625 (46.658) Prec@5 76.875 (77.199) Epoch: [39][11080/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.1174 (2.0805) Prec@1 45.000 (46.661) Prec@5 80.625 (77.201) Epoch: [39][11090/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 2.2075 (2.0805) Prec@1 47.500 (46.660) Prec@5 77.500 (77.200) Epoch: [39][11100/11272] Time 0.807 (0.794) Data 0.001 (0.002) Loss 2.2038 (2.0806) Prec@1 44.375 (46.659) Prec@5 78.125 (77.199) Epoch: [39][11110/11272] Time 0.727 (0.794) Data 0.003 (0.002) Loss 2.2425 (2.0806) Prec@1 48.750 (46.661) Prec@5 76.875 (77.200) Epoch: [39][11120/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 2.3948 (2.0806) Prec@1 41.875 (46.660) Prec@5 68.750 (77.200) Epoch: [39][11130/11272] Time 0.877 (0.794) Data 0.001 (0.002) Loss 2.1347 (2.0805) Prec@1 43.125 (46.663) Prec@5 79.375 (77.201) Epoch: [39][11140/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.0381 (2.0806) Prec@1 46.875 (46.662) Prec@5 75.625 (77.199) Epoch: [39][11150/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.9224 (2.0806) Prec@1 48.125 (46.660) Prec@5 80.000 (77.198) Epoch: [39][11160/11272] Time 0.764 (0.794) Data 0.001 (0.002) Loss 1.9566 (2.0806) Prec@1 52.500 (46.658) Prec@5 78.750 (77.197) Epoch: [39][11170/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.0002 (2.0807) Prec@1 46.875 (46.659) Prec@5 80.000 (77.197) Epoch: [39][11180/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.1187 (2.0807) Prec@1 43.125 (46.658) Prec@5 78.750 (77.196) Epoch: [39][11190/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.7609 (2.0807) Prec@1 53.750 (46.659) Prec@5 84.375 (77.197) Epoch: [39][11200/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0076 (2.0806) Prec@1 48.125 (46.660) Prec@5 80.000 (77.198) Epoch: [39][11210/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.1805 (2.0806) Prec@1 41.875 (46.660) Prec@5 76.250 (77.197) Epoch: [39][11220/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.1344 (2.0807) Prec@1 44.375 (46.659) Prec@5 73.125 (77.197) Epoch: [39][11230/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.0596 (2.0807) Prec@1 43.750 (46.657) Prec@5 76.875 (77.197) Epoch: [39][11240/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 1.9370 (2.0807) Prec@1 51.250 (46.657) Prec@5 79.375 (77.197) Epoch: [39][11250/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.2130 (2.0808) Prec@1 46.250 (46.655) Prec@5 71.875 (77.196) Epoch: [39][11260/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.2344 (2.0808) Prec@1 43.750 (46.655) Prec@5 75.000 (77.196) Epoch: [39][11270/11272] Time 0.723 (0.794) Data 0.000 (0.002) Loss 1.7642 (2.0808) Prec@1 57.500 (46.656) Prec@5 81.875 (77.197) Test: [0/229] Time 1.606 (1.606) Loss 1.4248 (1.4248) Prec@1 53.125 (53.125) Prec@5 93.125 (93.125) Test: [10/229] Time 0.396 (0.504) Loss 1.1697 (1.6566) Prec@1 65.625 (54.034) Prec@5 94.375 (87.045) Test: [20/229] Time 0.368 (0.446) Loss 2.0930 (1.7839) Prec@1 45.625 (51.250) Prec@5 75.625 (84.583) Test: [30/229] Time 0.343 (0.430) Loss 1.9463 (1.6953) Prec@1 41.250 (53.810) Prec@5 86.875 (85.423) Test: [40/229] Time 0.443 (0.418) Loss 0.3781 (1.6869) Prec@1 90.625 (54.284) Prec@5 96.875 (85.427) Test: [50/229] Time 0.349 (0.409) Loss 2.4087 (1.7383) Prec@1 33.125 (53.199) Prec@5 73.125 (84.130) Test: [60/229] Time 0.419 (0.403) Loss 2.0719 (1.7287) Prec@1 41.250 (53.422) Prec@5 81.250 (84.180) Test: [70/229] Time 0.319 (0.401) Loss 1.6342 (1.7498) Prec@1 59.375 (53.055) Prec@5 81.250 (83.680) Test: [80/229] Time 0.336 (0.399) Loss 2.2140 (1.7823) Prec@1 35.625 (51.991) Prec@5 78.750 (83.349) Test: [90/229] Time 0.472 (0.398) Loss 1.3496 (1.8044) Prec@1 70.625 (51.614) Prec@5 85.000 (83.104) Test: [100/229] Time 0.337 (0.397) Loss 2.0509 (1.7988) Prec@1 50.000 (51.993) Prec@5 82.500 (83.175) Test: [110/229] Time 0.454 (0.395) Loss 1.2746 (1.7743) Prec@1 68.750 (52.607) Prec@5 87.500 (83.508) Test: [120/229] Time 0.352 (0.394) Loss 3.1189 (1.7987) Prec@1 20.000 (52.009) Prec@5 68.125 (83.218) Test: [130/229] Time 0.428 (0.393) Loss 1.3421 (1.7746) Prec@1 58.750 (52.567) Prec@5 90.625 (83.550) Test: [140/229] Time 0.353 (0.391) Loss 1.8873 (1.7937) Prec@1 47.500 (52.039) Prec@5 84.375 (83.236) Test: [150/229] Time 0.367 (0.391) Loss 1.1291 (1.8072) Prec@1 75.000 (51.701) Prec@5 88.750 (83.075) Test: [160/229] Time 0.424 (0.391) Loss 1.9728 (1.8073) Prec@1 52.500 (51.685) Prec@5 84.375 (83.141) Test: [170/229] Time 0.339 (0.390) Loss 1.9341 (1.8177) Prec@1 43.750 (51.268) Prec@5 85.000 (82.997) Test: [180/229] Time 0.441 (0.390) Loss 2.6816 (1.8253) Prec@1 31.875 (51.226) Prec@5 60.625 (82.766) Test: [190/229] Time 0.365 (0.390) Loss 1.3469 (1.8114) Prec@1 62.500 (51.613) Prec@5 91.250 (82.935) Test: [200/229] Time 0.386 (0.389) Loss 1.9244 (1.8000) Prec@1 51.250 (51.856) Prec@5 77.500 (83.200) Test: [210/229] Time 0.367 (0.389) Loss 1.2618 (1.7884) Prec@1 62.500 (52.225) Prec@5 90.625 (83.403) Test: [220/229] Time 0.351 (0.388) Loss 1.7274 (1.7792) Prec@1 53.125 (52.562) Prec@5 85.625 (83.487) * Prec@1 52.860 Prec@5 83.576 Epoch: [40][0/11272] Time 3.063 (3.063) Data 2.251 (2.251) Loss 2.1390 (2.1390) Prec@1 48.750 (48.750) Prec@5 76.250 (76.250) Epoch: [40][10/11272] Time 0.732 (0.999) Data 0.002 (0.206) Loss 1.8808 (1.9994) Prec@1 52.500 (48.239) Prec@5 80.000 (79.205) Epoch: [40][20/11272] Time 0.848 (0.902) Data 0.002 (0.109) Loss 1.9382 (2.0392) Prec@1 48.125 (47.798) Prec@5 79.375 (78.125) Epoch: [40][30/11272] Time 0.860 (0.864) Data 0.001 (0.074) Loss 1.9999 (2.0069) Prec@1 48.125 (48.286) Prec@5 78.125 (78.347) Epoch: [40][40/11272] Time 0.763 (0.852) Data 0.002 (0.056) Loss 2.1444 (2.0203) Prec@1 43.125 (47.759) Prec@5 73.750 (78.216) Epoch: [40][50/11272] Time 0.847 (0.843) Data 0.002 (0.046) Loss 1.8782 (2.0163) Prec@1 51.875 (48.174) Prec@5 83.750 (78.370) Epoch: [40][60/11272] Time 0.806 (0.833) Data 0.001 (0.038) Loss 1.9857 (2.0143) Prec@1 49.375 (48.207) Prec@5 77.500 (78.473) Epoch: [40][70/11272] Time 0.764 (0.827) Data 0.001 (0.033) Loss 1.8045 (2.0023) Prec@1 51.875 (48.556) Prec@5 81.250 (78.662) Epoch: [40][80/11272] Time 0.742 (0.825) Data 0.002 (0.029) Loss 2.1844 (2.0068) Prec@1 47.500 (48.426) Prec@5 79.375 (78.619) Epoch: [40][90/11272] Time 0.837 (0.821) Data 0.001 (0.026) Loss 1.8916 (2.0155) Prec@1 50.000 (48.235) Prec@5 81.250 (78.585) Epoch: [40][100/11272] Time 0.888 (0.818) Data 0.002 (0.024) Loss 1.9659 (2.0163) Prec@1 47.500 (48.193) Prec@5 78.125 (78.540) Epoch: [40][110/11272] Time 0.737 (0.816) Data 0.001 (0.022) Loss 2.0419 (2.0189) Prec@1 46.250 (48.142) Prec@5 74.375 (78.491) Epoch: [40][120/11272] Time 0.730 (0.813) Data 0.002 (0.020) Loss 1.7310 (2.0239) Prec@1 56.875 (48.187) Prec@5 82.500 (78.321) Epoch: [40][130/11272] Time 0.852 (0.812) Data 0.002 (0.019) Loss 2.1280 (2.0297) Prec@1 49.375 (48.073) Prec@5 73.125 (78.135) Epoch: [40][140/11272] Time 0.803 (0.810) Data 0.001 (0.017) Loss 1.8526 (2.0304) Prec@1 53.125 (48.156) Prec@5 83.125 (78.143) Epoch: [40][150/11272] Time 0.740 (0.809) Data 0.002 (0.016) Loss 1.8323 (2.0231) Prec@1 55.000 (48.274) Prec@5 79.375 (78.311) Epoch: [40][160/11272] Time 0.749 (0.807) Data 0.001 (0.015) Loss 2.0850 (2.0215) Prec@1 46.875 (48.249) Prec@5 73.750 (78.323) Epoch: [40][170/11272] Time 0.883 (0.807) Data 0.002 (0.015) Loss 2.1303 (2.0260) Prec@1 41.875 (48.162) Prec@5 76.250 (78.257) Epoch: [40][180/11272] Time 0.723 (0.805) Data 0.003 (0.014) Loss 2.1287 (2.0262) Prec@1 46.250 (48.090) Prec@5 76.250 (78.242) Epoch: [40][190/11272] Time 0.742 (0.804) Data 0.002 (0.013) Loss 2.2382 (2.0297) Prec@1 45.625 (47.955) Prec@5 76.875 (78.213) Epoch: [40][200/11272] Time 0.852 (0.804) Data 0.001 (0.013) Loss 2.0437 (2.0300) Prec@1 45.000 (47.882) Prec@5 75.000 (78.228) Epoch: [40][210/11272] Time 0.808 (0.804) Data 0.001 (0.012) Loss 1.9949 (2.0315) Prec@1 47.500 (47.867) Prec@5 80.000 (78.187) Epoch: [40][220/11272] Time 0.755 (0.803) Data 0.002 (0.012) Loss 2.1860 (2.0329) Prec@1 45.625 (47.885) Prec@5 76.250 (78.167) Epoch: [40][230/11272] Time 0.747 (0.803) Data 0.001 (0.011) Loss 2.2238 (2.0353) Prec@1 42.500 (47.827) Prec@5 74.375 (78.109) Epoch: [40][240/11272] Time 0.846 (0.803) Data 0.002 (0.011) Loss 2.1711 (2.0396) Prec@1 46.875 (47.767) Prec@5 74.375 (78.001) Epoch: [40][250/11272] Time 0.826 (0.802) Data 0.001 (0.010) Loss 2.0014 (2.0376) Prec@1 47.500 (47.801) Prec@5 78.125 (78.010) Epoch: [40][260/11272] Time 0.748 (0.802) Data 0.001 (0.010) Loss 1.8797 (2.0370) Prec@1 50.625 (47.864) Prec@5 80.625 (78.012) Epoch: [40][270/11272] Time 0.731 (0.801) Data 0.002 (0.010) Loss 2.1471 (2.0372) Prec@1 40.625 (47.800) Prec@5 77.500 (78.026) Epoch: [40][280/11272] Time 0.834 (0.801) Data 0.002 (0.010) Loss 2.3128 (2.0399) Prec@1 40.625 (47.700) Prec@5 73.125 (77.983) Epoch: [40][290/11272] Time 0.844 (0.801) Data 0.002 (0.009) Loss 1.9882 (2.0403) Prec@1 45.000 (47.704) Prec@5 81.250 (77.994) Epoch: [40][300/11272] Time 0.766 (0.801) Data 0.002 (0.009) Loss 2.2685 (2.0421) Prec@1 41.875 (47.676) Prec@5 74.375 (77.942) Epoch: [40][310/11272] Time 0.860 (0.801) Data 0.002 (0.009) Loss 1.9783 (2.0426) Prec@1 42.500 (47.607) Prec@5 81.250 (77.918) Epoch: [40][320/11272] Time 0.851 (0.801) Data 0.002 (0.009) Loss 1.9699 (2.0443) Prec@1 46.250 (47.584) Prec@5 78.750 (77.897) Epoch: [40][330/11272] Time 0.722 (0.801) Data 0.001 (0.008) Loss 2.1313 (2.0418) Prec@1 45.625 (47.615) Prec@5 71.250 (77.921) Epoch: [40][340/11272] Time 0.744 (0.800) Data 0.001 (0.008) Loss 1.9409 (2.0439) Prec@1 43.125 (47.544) Prec@5 81.250 (77.909) Epoch: [40][350/11272] Time 0.829 (0.800) Data 0.001 (0.008) Loss 1.8785 (2.0450) Prec@1 45.625 (47.482) Prec@5 83.750 (77.913) Epoch: [40][360/11272] Time 0.834 (0.800) Data 0.001 (0.008) Loss 1.9847 (2.0466) Prec@1 50.000 (47.458) Prec@5 76.875 (77.884) Epoch: [40][370/11272] Time 0.721 (0.800) Data 0.001 (0.008) Loss 2.0862 (2.0475) Prec@1 45.000 (47.451) Prec@5 75.000 (77.864) Epoch: [40][380/11272] Time 0.731 (0.800) Data 0.001 (0.007) Loss 2.0039 (2.0487) Prec@1 48.750 (47.433) Prec@5 77.500 (77.856) Epoch: [40][390/11272] Time 0.837 (0.799) Data 0.001 (0.007) Loss 2.0771 (2.0503) Prec@1 42.500 (47.342) Prec@5 80.000 (77.850) Epoch: [40][400/11272] Time 0.842 (0.799) Data 0.001 (0.007) Loss 2.0359 (2.0488) Prec@1 47.500 (47.374) Prec@5 78.750 (77.865) Epoch: [40][410/11272] Time 0.752 (0.799) Data 0.002 (0.007) Loss 2.2352 (2.0488) Prec@1 43.750 (47.351) Prec@5 73.750 (77.850) Epoch: [40][420/11272] Time 0.734 (0.799) Data 0.001 (0.007) Loss 2.0956 (2.0504) Prec@1 45.625 (47.276) Prec@5 77.500 (77.838) Epoch: [40][430/11272] Time 0.873 (0.799) Data 0.002 (0.007) Loss 2.1104 (2.0494) Prec@1 42.500 (47.310) Prec@5 76.875 (77.852) Epoch: [40][440/11272] Time 0.887 (0.799) Data 0.003 (0.007) Loss 2.2297 (2.0504) Prec@1 42.500 (47.300) Prec@5 75.000 (77.839) Epoch: [40][450/11272] Time 0.727 (0.799) Data 0.002 (0.007) Loss 1.9587 (2.0517) Prec@1 53.125 (47.260) Prec@5 76.875 (77.812) Epoch: [40][460/11272] Time 0.840 (0.799) Data 0.001 (0.006) Loss 1.9794 (2.0519) Prec@1 46.875 (47.251) Prec@5 81.250 (77.813) Epoch: [40][470/11272] Time 0.835 (0.798) Data 0.001 (0.006) Loss 1.7869 (2.0501) Prec@1 45.625 (47.300) Prec@5 82.500 (77.833) Epoch: [40][480/11272] Time 0.740 (0.798) Data 0.001 (0.006) Loss 1.8423 (2.0502) Prec@1 52.500 (47.308) Prec@5 81.250 (77.821) Epoch: [40][490/11272] Time 0.726 (0.798) Data 0.001 (0.006) Loss 1.9703 (2.0509) Prec@1 42.500 (47.275) Prec@5 82.500 (77.830) Epoch: [40][500/11272] Time 0.861 (0.798) Data 0.002 (0.006) Loss 2.1297 (2.0507) Prec@1 43.125 (47.290) Prec@5 79.375 (77.821) Epoch: [40][510/11272] Time 0.889 (0.798) Data 0.002 (0.006) Loss 2.1709 (2.0506) Prec@1 48.750 (47.291) Prec@5 75.625 (77.822) Epoch: [40][520/11272] Time 0.733 (0.798) Data 0.002 (0.006) Loss 1.9915 (2.0490) Prec@1 52.500 (47.328) Prec@5 76.875 (77.835) Epoch: [40][530/11272] Time 0.726 (0.798) Data 0.002 (0.006) Loss 1.9771 (2.0483) Prec@1 48.125 (47.353) Prec@5 77.500 (77.835) Epoch: [40][540/11272] Time 0.880 (0.798) Data 0.001 (0.006) Loss 2.0989 (2.0485) Prec@1 48.750 (47.346) Prec@5 74.375 (77.843) Epoch: [40][550/11272] Time 0.825 (0.798) Data 0.001 (0.006) Loss 1.7376 (2.0482) Prec@1 54.375 (47.338) Prec@5 81.250 (77.843) Epoch: [40][560/11272] Time 0.739 (0.798) Data 0.001 (0.006) Loss 2.1193 (2.0490) Prec@1 49.375 (47.328) Prec@5 75.000 (77.810) Epoch: [40][570/11272] Time 0.735 (0.797) Data 0.001 (0.005) Loss 2.0023 (2.0507) Prec@1 51.875 (47.291) Prec@5 76.875 (77.770) Epoch: [40][580/11272] Time 0.845 (0.797) Data 0.001 (0.005) Loss 1.8895 (2.0513) Prec@1 50.625 (47.263) Prec@5 83.125 (77.762) Epoch: [40][590/11272] Time 0.754 (0.797) Data 0.001 (0.005) Loss 2.2718 (2.0515) Prec@1 44.375 (47.256) Prec@5 72.500 (77.746) Epoch: [40][600/11272] Time 0.746 (0.797) Data 0.001 (0.005) Loss 1.8980 (2.0520) Prec@1 51.250 (47.267) Prec@5 83.125 (77.739) Epoch: [40][610/11272] Time 0.828 (0.797) Data 0.001 (0.005) Loss 2.1399 (2.0521) Prec@1 44.375 (47.266) Prec@5 79.375 (77.759) Epoch: [40][620/11272] Time 0.850 (0.797) Data 0.002 (0.005) Loss 1.8823 (2.0521) Prec@1 53.750 (47.261) Prec@5 80.000 (77.752) Epoch: [40][630/11272] Time 0.776 (0.797) Data 0.002 (0.005) Loss 1.9759 (2.0519) Prec@1 51.875 (47.261) Prec@5 78.125 (77.752) Epoch: [40][640/11272] Time 0.724 (0.797) Data 0.001 (0.005) Loss 2.0587 (2.0524) Prec@1 45.000 (47.230) Prec@5 80.000 (77.746) Epoch: [40][650/11272] Time 0.827 (0.797) Data 0.001 (0.005) Loss 2.1860 (2.0518) Prec@1 46.875 (47.262) Prec@5 75.625 (77.752) Epoch: [40][660/11272] Time 0.858 (0.797) Data 0.003 (0.005) Loss 2.1777 (2.0520) Prec@1 51.250 (47.252) Prec@5 76.875 (77.744) Epoch: [40][670/11272] Time 0.740 (0.797) Data 0.002 (0.005) Loss 2.0403 (2.0519) Prec@1 48.750 (47.268) Prec@5 78.750 (77.732) Epoch: [40][680/11272] Time 0.730 (0.797) Data 0.001 (0.005) Loss 2.1751 (2.0516) Prec@1 46.250 (47.276) Prec@5 76.875 (77.745) Epoch: [40][690/11272] Time 0.843 (0.797) Data 0.002 (0.005) Loss 1.7944 (2.0519) Prec@1 50.625 (47.260) Prec@5 83.125 (77.729) Epoch: [40][700/11272] Time 0.848 (0.797) Data 0.002 (0.005) Loss 1.7923 (2.0518) Prec@1 49.375 (47.250) Prec@5 83.750 (77.734) Epoch: [40][710/11272] Time 0.730 (0.797) Data 0.001 (0.005) Loss 2.0101 (2.0514) Prec@1 43.750 (47.250) Prec@5 78.750 (77.736) Epoch: [40][720/11272] Time 0.842 (0.797) Data 0.001 (0.005) Loss 2.2154 (2.0516) Prec@1 44.375 (47.268) Prec@5 73.125 (77.720) Epoch: [40][730/11272] Time 0.838 (0.797) Data 0.002 (0.005) Loss 2.0005 (2.0513) Prec@1 45.625 (47.258) Prec@5 81.250 (77.728) Epoch: [40][740/11272] Time 0.737 (0.796) Data 0.001 (0.005) Loss 1.7736 (2.0517) Prec@1 46.250 (47.227) Prec@5 83.125 (77.735) Epoch: [40][750/11272] Time 0.757 (0.796) Data 0.002 (0.005) Loss 1.7334 (2.0508) Prec@1 51.875 (47.235) Prec@5 81.875 (77.748) Epoch: [40][760/11272] Time 0.828 (0.796) Data 0.001 (0.004) Loss 2.0575 (2.0509) Prec@1 45.000 (47.240) Prec@5 76.250 (77.732) Epoch: [40][770/11272] Time 0.831 (0.796) Data 0.001 (0.004) Loss 2.1201 (2.0499) Prec@1 44.375 (47.258) Prec@5 79.375 (77.772) Epoch: [40][780/11272] Time 0.741 (0.796) Data 0.002 (0.004) Loss 2.1853 (2.0496) Prec@1 45.000 (47.282) Prec@5 78.750 (77.790) Epoch: [40][790/11272] Time 0.734 (0.796) Data 0.002 (0.004) Loss 1.9636 (2.0499) Prec@1 49.375 (47.282) Prec@5 76.875 (77.780) Epoch: [40][800/11272] Time 0.909 (0.796) Data 0.002 (0.004) Loss 2.0318 (2.0493) Prec@1 50.000 (47.282) Prec@5 78.750 (77.799) Epoch: [40][810/11272] Time 0.845 (0.796) Data 0.002 (0.004) Loss 2.0967 (2.0496) Prec@1 48.125 (47.274) Prec@5 73.750 (77.804) Epoch: [40][820/11272] Time 0.735 (0.796) Data 0.001 (0.004) Loss 1.8153 (2.0496) Prec@1 54.375 (47.270) Prec@5 78.750 (77.798) Epoch: [40][830/11272] Time 0.765 (0.796) Data 0.002 (0.004) Loss 1.8123 (2.0495) Prec@1 54.375 (47.253) Prec@5 84.375 (77.799) Epoch: [40][840/11272] Time 0.824 (0.796) Data 0.001 (0.004) Loss 1.9842 (2.0497) Prec@1 49.375 (47.252) Prec@5 78.750 (77.785) Epoch: [40][850/11272] Time 0.744 (0.796) Data 0.003 (0.004) Loss 2.0888 (2.0500) Prec@1 45.625 (47.247) Prec@5 77.500 (77.782) Epoch: [40][860/11272] Time 0.730 (0.796) Data 0.001 (0.004) Loss 2.2576 (2.0505) Prec@1 44.375 (47.236) Prec@5 73.125 (77.772) Epoch: [40][870/11272] Time 0.868 (0.796) Data 0.001 (0.004) Loss 1.7858 (2.0500) Prec@1 53.750 (47.232) Prec@5 86.250 (77.792) Epoch: [40][880/11272] Time 0.834 (0.796) Data 0.001 (0.004) Loss 1.8537 (2.0499) Prec@1 47.500 (47.252) Prec@5 85.000 (77.795) Epoch: [40][890/11272] Time 0.732 (0.796) Data 0.001 (0.004) Loss 1.7676 (2.0499) Prec@1 55.625 (47.266) Prec@5 83.125 (77.802) Epoch: [40][900/11272] Time 0.741 (0.796) Data 0.001 (0.004) Loss 1.9787 (2.0498) Prec@1 49.375 (47.266) Prec@5 80.625 (77.809) Epoch: [40][910/11272] Time 0.834 (0.796) Data 0.002 (0.004) Loss 2.1356 (2.0500) Prec@1 46.250 (47.263) Prec@5 76.875 (77.802) Epoch: [40][920/11272] Time 0.841 (0.796) Data 0.001 (0.004) Loss 1.9860 (2.0500) Prec@1 48.750 (47.275) Prec@5 75.000 (77.788) Epoch: [40][930/11272] Time 0.819 (0.796) Data 0.002 (0.004) Loss 2.1871 (2.0506) Prec@1 46.875 (47.278) Prec@5 75.625 (77.772) Epoch: [40][940/11272] Time 0.747 (0.796) Data 0.001 (0.004) Loss 2.2403 (2.0508) Prec@1 43.125 (47.274) Prec@5 75.625 (77.775) Epoch: [40][950/11272] Time 0.844 (0.796) Data 0.001 (0.004) Loss 2.0842 (2.0510) Prec@1 45.000 (47.261) Prec@5 81.250 (77.773) Epoch: [40][960/11272] Time 0.816 (0.796) Data 0.001 (0.004) Loss 2.1845 (2.0509) Prec@1 44.375 (47.265) Prec@5 75.000 (77.771) Epoch: [40][970/11272] Time 0.765 (0.796) Data 0.002 (0.004) Loss 2.0835 (2.0516) Prec@1 44.375 (47.249) Prec@5 78.125 (77.770) Epoch: [40][980/11272] Time 0.824 (0.796) Data 0.001 (0.004) Loss 2.0094 (2.0516) Prec@1 48.750 (47.252) Prec@5 77.500 (77.768) Epoch: [40][990/11272] Time 0.834 (0.796) Data 0.002 (0.004) Loss 2.2748 (2.0517) Prec@1 44.375 (47.260) Prec@5 72.500 (77.767) Epoch: [40][1000/11272] Time 0.754 (0.796) Data 0.002 (0.004) Loss 1.9196 (2.0518) Prec@1 44.375 (47.250) Prec@5 81.875 (77.773) Epoch: [40][1010/11272] Time 0.751 (0.796) Data 0.001 (0.004) Loss 2.0060 (2.0520) Prec@1 49.375 (47.248) Prec@5 78.750 (77.771) Epoch: [40][1020/11272] Time 0.839 (0.796) Data 0.002 (0.004) Loss 2.1154 (2.0518) Prec@1 47.500 (47.262) Prec@5 76.250 (77.773) Epoch: [40][1030/11272] Time 0.849 (0.795) Data 0.001 (0.004) Loss 2.1699 (2.0517) Prec@1 39.375 (47.266) Prec@5 75.625 (77.776) Epoch: [40][1040/11272] Time 0.735 (0.795) Data 0.002 (0.004) Loss 2.1050 (2.0516) Prec@1 43.125 (47.267) Prec@5 76.250 (77.766) Epoch: [40][1050/11272] Time 0.737 (0.795) Data 0.001 (0.004) Loss 2.0680 (2.0520) Prec@1 48.125 (47.245) Prec@5 78.750 (77.769) Epoch: [40][1060/11272] Time 0.839 (0.796) Data 0.001 (0.004) Loss 2.2312 (2.0521) Prec@1 46.250 (47.244) Prec@5 77.500 (77.771) Epoch: [40][1070/11272] Time 0.833 (0.795) Data 0.002 (0.004) Loss 2.1199 (2.0525) Prec@1 47.500 (47.230) Prec@5 77.500 (77.760) Epoch: [40][1080/11272] Time 0.761 (0.795) Data 0.002 (0.004) Loss 1.9087 (2.0522) Prec@1 49.375 (47.240) Prec@5 81.250 (77.769) Epoch: [40][1090/11272] Time 0.732 (0.795) Data 0.001 (0.004) Loss 1.9955 (2.0513) Prec@1 50.000 (47.269) Prec@5 78.125 (77.774) Epoch: [40][1100/11272] Time 0.847 (0.795) Data 0.001 (0.004) Loss 2.0739 (2.0515) Prec@1 48.125 (47.267) Prec@5 81.250 (77.772) Epoch: [40][1110/11272] Time 0.754 (0.795) Data 0.003 (0.004) Loss 2.2016 (2.0520) Prec@1 42.500 (47.269) Prec@5 72.500 (77.744) Epoch: [40][1120/11272] Time 0.744 (0.796) Data 0.002 (0.004) Loss 1.9293 (2.0522) Prec@1 49.375 (47.269) Prec@5 80.625 (77.739) Epoch: [40][1130/11272] Time 0.859 (0.795) Data 0.002 (0.004) Loss 2.0738 (2.0519) Prec@1 51.250 (47.275) Prec@5 78.125 (77.746) Epoch: [40][1140/11272] Time 0.873 (0.795) Data 0.001 (0.004) Loss 2.0759 (2.0525) Prec@1 42.500 (47.257) Prec@5 78.125 (77.742) Epoch: [40][1150/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 2.4681 (2.0530) Prec@1 39.375 (47.247) Prec@5 73.125 (77.742) Epoch: [40][1160/11272] Time 0.753 (0.795) Data 0.001 (0.003) Loss 1.8853 (2.0528) Prec@1 47.500 (47.258) Prec@5 82.500 (77.747) Epoch: [40][1170/11272] Time 0.836 (0.795) Data 0.001 (0.003) Loss 2.2918 (2.0532) Prec@1 43.750 (47.248) Prec@5 71.250 (77.739) Epoch: [40][1180/11272] Time 0.832 (0.795) Data 0.001 (0.003) Loss 2.1259 (2.0535) Prec@1 44.375 (47.242) Prec@5 78.750 (77.737) Epoch: [40][1190/11272] Time 0.775 (0.795) Data 0.002 (0.003) Loss 2.0937 (2.0537) Prec@1 50.625 (47.238) Prec@5 80.000 (77.720) Epoch: [40][1200/11272] Time 0.737 (0.795) Data 0.001 (0.003) Loss 1.9740 (2.0531) Prec@1 43.125 (47.248) Prec@5 80.625 (77.722) Epoch: [40][1210/11272] Time 0.838 (0.795) Data 0.001 (0.003) Loss 1.9155 (2.0534) Prec@1 49.375 (47.233) Prec@5 82.500 (77.720) Epoch: [40][1220/11272] Time 0.846 (0.796) Data 0.001 (0.003) Loss 2.2192 (2.0537) Prec@1 45.625 (47.239) Prec@5 75.625 (77.712) Epoch: [40][1230/11272] Time 0.730 (0.796) Data 0.001 (0.003) Loss 1.9463 (2.0534) Prec@1 47.500 (47.235) Prec@5 81.875 (77.721) Epoch: [40][1240/11272] Time 0.861 (0.796) Data 0.001 (0.003) Loss 1.8716 (2.0532) Prec@1 55.000 (47.248) Prec@5 80.625 (77.721) Epoch: [40][1250/11272] Time 0.831 (0.796) Data 0.001 (0.003) Loss 2.1818 (2.0534) Prec@1 42.500 (47.245) Prec@5 73.125 (77.719) Epoch: [40][1260/11272] Time 0.749 (0.795) Data 0.001 (0.003) Loss 2.0858 (2.0531) Prec@1 48.125 (47.261) Prec@5 75.625 (77.723) Epoch: [40][1270/11272] Time 0.733 (0.795) Data 0.001 (0.003) Loss 1.7743 (2.0533) Prec@1 46.875 (47.262) Prec@5 82.500 (77.721) Epoch: [40][1280/11272] Time 0.890 (0.795) Data 0.001 (0.003) Loss 2.4390 (2.0535) Prec@1 43.125 (47.257) Prec@5 70.625 (77.725) Epoch: [40][1290/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 2.1178 (2.0534) Prec@1 44.375 (47.253) Prec@5 77.500 (77.727) Epoch: [40][1300/11272] Time 0.735 (0.795) Data 0.001 (0.003) Loss 1.9431 (2.0538) Prec@1 51.250 (47.243) Prec@5 77.500 (77.721) Epoch: [40][1310/11272] Time 0.736 (0.795) Data 0.002 (0.003) Loss 2.1088 (2.0539) Prec@1 44.375 (47.234) Prec@5 77.500 (77.715) Epoch: [40][1320/11272] Time 0.849 (0.795) Data 0.001 (0.003) Loss 2.1706 (2.0542) Prec@1 40.625 (47.221) Prec@5 80.000 (77.702) Epoch: [40][1330/11272] Time 0.859 (0.795) Data 0.001 (0.003) Loss 1.8963 (2.0543) Prec@1 48.125 (47.217) Prec@5 80.000 (77.695) Epoch: [40][1340/11272] Time 0.723 (0.795) Data 0.002 (0.003) Loss 1.8929 (2.0546) Prec@1 53.125 (47.218) Prec@5 78.750 (77.689) Epoch: [40][1350/11272] Time 0.709 (0.795) Data 0.001 (0.003) Loss 1.7877 (2.0539) Prec@1 58.125 (47.228) Prec@5 82.500 (77.694) Epoch: [40][1360/11272] Time 0.839 (0.795) Data 0.001 (0.003) Loss 2.1453 (2.0540) Prec@1 46.875 (47.220) Prec@5 75.625 (77.705) Epoch: [40][1370/11272] Time 0.783 (0.795) Data 0.001 (0.003) Loss 2.1970 (2.0536) Prec@1 46.875 (47.221) Prec@5 77.500 (77.722) Epoch: [40][1380/11272] Time 0.726 (0.795) Data 0.001 (0.003) Loss 2.0683 (2.0542) Prec@1 46.875 (47.213) Prec@5 78.125 (77.715) Epoch: [40][1390/11272] Time 0.835 (0.795) Data 0.002 (0.003) Loss 2.0201 (2.0544) Prec@1 50.625 (47.209) Prec@5 78.750 (77.713) Epoch: [40][1400/11272] Time 0.830 (0.795) Data 0.001 (0.003) Loss 2.0957 (2.0550) Prec@1 50.625 (47.204) Prec@5 76.250 (77.711) Epoch: [40][1410/11272] Time 0.726 (0.795) Data 0.002 (0.003) Loss 2.5866 (2.0551) Prec@1 39.375 (47.201) Prec@5 66.250 (77.714) Epoch: [40][1420/11272] Time 0.734 (0.795) Data 0.001 (0.003) Loss 1.9828 (2.0543) Prec@1 50.625 (47.215) Prec@5 76.250 (77.728) Epoch: [40][1430/11272] Time 0.888 (0.795) Data 0.002 (0.003) Loss 1.9155 (2.0540) Prec@1 50.625 (47.219) Prec@5 78.125 (77.726) Epoch: [40][1440/11272] Time 0.850 (0.795) Data 0.002 (0.003) Loss 2.0191 (2.0545) Prec@1 49.375 (47.202) Prec@5 80.625 (77.718) Epoch: [40][1450/11272] Time 0.757 (0.795) Data 0.002 (0.003) Loss 2.3721 (2.0549) Prec@1 35.625 (47.183) Prec@5 75.625 (77.713) Epoch: [40][1460/11272] Time 0.760 (0.795) Data 0.002 (0.003) Loss 2.1285 (2.0552) Prec@1 45.625 (47.171) Prec@5 73.750 (77.705) Epoch: [40][1470/11272] Time 0.838 (0.795) Data 0.001 (0.003) Loss 2.3180 (2.0554) Prec@1 47.500 (47.178) Prec@5 70.625 (77.697) Epoch: [40][1480/11272] Time 0.851 (0.795) Data 0.001 (0.003) Loss 2.0596 (2.0557) Prec@1 45.000 (47.167) Prec@5 75.625 (77.695) Epoch: [40][1490/11272] Time 0.737 (0.795) Data 0.002 (0.003) Loss 1.8664 (2.0556) Prec@1 48.125 (47.161) Prec@5 76.250 (77.696) Epoch: [40][1500/11272] Time 0.735 (0.795) Data 0.001 (0.003) Loss 2.0960 (2.0561) Prec@1 43.125 (47.151) Prec@5 73.750 (77.686) Epoch: [40][1510/11272] Time 0.856 (0.795) Data 0.001 (0.003) Loss 2.1708 (2.0567) Prec@1 46.250 (47.131) Prec@5 77.500 (77.673) Epoch: [40][1520/11272] Time 0.764 (0.795) Data 0.001 (0.003) Loss 2.1781 (2.0571) Prec@1 39.375 (47.129) Prec@5 76.250 (77.670) Epoch: [40][1530/11272] Time 0.753 (0.795) Data 0.002 (0.003) Loss 2.0239 (2.0571) Prec@1 48.750 (47.128) Prec@5 76.250 (77.662) Epoch: [40][1540/11272] Time 0.832 (0.795) Data 0.001 (0.003) Loss 1.9759 (2.0568) Prec@1 47.500 (47.143) Prec@5 81.250 (77.676) Epoch: [40][1550/11272] Time 0.844 (0.795) Data 0.001 (0.003) Loss 1.9588 (2.0569) Prec@1 48.750 (47.147) Prec@5 80.625 (77.674) Epoch: [40][1560/11272] Time 0.732 (0.795) Data 0.001 (0.003) Loss 2.2545 (2.0572) Prec@1 42.500 (47.137) Prec@5 74.375 (77.666) Epoch: [40][1570/11272] Time 0.747 (0.794) Data 0.002 (0.003) Loss 2.0139 (2.0570) Prec@1 45.625 (47.134) Prec@5 83.750 (77.672) Epoch: [40][1580/11272] Time 0.860 (0.794) Data 0.002 (0.003) Loss 2.0235 (2.0569) Prec@1 45.000 (47.139) Prec@5 80.625 (77.669) Epoch: [40][1590/11272] Time 0.833 (0.794) Data 0.002 (0.003) Loss 1.8171 (2.0568) Prec@1 51.875 (47.143) Prec@5 82.500 (77.666) Epoch: [40][1600/11272] Time 0.738 (0.794) Data 0.001 (0.003) Loss 1.9453 (2.0567) Prec@1 48.125 (47.146) Prec@5 80.000 (77.664) Epoch: [40][1610/11272] Time 0.730 (0.794) Data 0.002 (0.003) Loss 2.1335 (2.0572) Prec@1 48.750 (47.139) Prec@5 73.125 (77.652) Epoch: [40][1620/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 1.9030 (2.0575) Prec@1 48.125 (47.126) Prec@5 78.125 (77.649) Epoch: [40][1630/11272] Time 0.862 (0.795) Data 0.001 (0.003) Loss 2.1173 (2.0576) Prec@1 45.625 (47.127) Prec@5 74.375 (77.641) Epoch: [40][1640/11272] Time 0.732 (0.795) Data 0.002 (0.003) Loss 1.9711 (2.0575) Prec@1 52.500 (47.134) Prec@5 76.250 (77.642) Epoch: [40][1650/11272] Time 0.889 (0.795) Data 0.001 (0.003) Loss 1.9431 (2.0576) Prec@1 48.750 (47.131) Prec@5 80.625 (77.637) Epoch: [40][1660/11272] Time 0.860 (0.795) Data 0.002 (0.003) Loss 1.9625 (2.0574) Prec@1 48.125 (47.134) Prec@5 80.625 (77.641) Epoch: [40][1670/11272] Time 0.736 (0.795) Data 0.001 (0.003) Loss 2.2626 (2.0579) Prec@1 40.000 (47.124) Prec@5 80.000 (77.640) Epoch: [40][1680/11272] Time 0.736 (0.795) Data 0.002 (0.003) Loss 1.9884 (2.0584) Prec@1 49.375 (47.114) Prec@5 76.250 (77.633) Epoch: [40][1690/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 2.1035 (2.0586) Prec@1 46.250 (47.104) Prec@5 78.125 (77.642) Epoch: [40][1700/11272] Time 0.854 (0.795) Data 0.002 (0.003) Loss 1.8581 (2.0585) Prec@1 48.750 (47.100) Prec@5 83.750 (77.643) Epoch: [40][1710/11272] Time 0.762 (0.795) Data 0.002 (0.003) Loss 2.0246 (2.0587) Prec@1 48.750 (47.084) Prec@5 80.000 (77.637) Epoch: [40][1720/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 2.0128 (2.0582) Prec@1 45.625 (47.092) Prec@5 76.875 (77.642) Epoch: [40][1730/11272] Time 0.858 (0.795) Data 0.002 (0.003) Loss 1.8785 (2.0581) Prec@1 51.250 (47.103) Prec@5 79.375 (77.635) Epoch: [40][1740/11272] Time 0.839 (0.795) Data 0.002 (0.003) Loss 1.9139 (2.0581) Prec@1 46.875 (47.102) Prec@5 78.125 (77.636) Epoch: [40][1750/11272] Time 0.754 (0.795) Data 0.001 (0.003) Loss 1.9893 (2.0580) Prec@1 47.500 (47.107) Prec@5 78.750 (77.630) Epoch: [40][1760/11272] Time 0.724 (0.795) Data 0.001 (0.003) Loss 2.1586 (2.0581) Prec@1 50.000 (47.104) Prec@5 76.250 (77.631) Epoch: [40][1770/11272] Time 0.867 (0.795) Data 0.002 (0.003) Loss 2.2556 (2.0580) Prec@1 43.125 (47.108) Prec@5 76.250 (77.636) Epoch: [40][1780/11272] Time 0.746 (0.795) Data 0.003 (0.003) Loss 1.8989 (2.0577) Prec@1 50.000 (47.111) Prec@5 80.625 (77.640) Epoch: [40][1790/11272] Time 0.723 (0.795) Data 0.001 (0.003) Loss 1.9809 (2.0578) Prec@1 46.250 (47.109) Prec@5 76.875 (77.637) Epoch: [40][1800/11272] Time 0.821 (0.795) Data 0.001 (0.003) Loss 2.1000 (2.0579) Prec@1 40.625 (47.110) Prec@5 76.875 (77.636) Epoch: [40][1810/11272] Time 0.881 (0.795) Data 0.002 (0.003) Loss 2.1663 (2.0580) Prec@1 45.625 (47.103) Prec@5 75.000 (77.639) Epoch: [40][1820/11272] Time 0.730 (0.795) Data 0.001 (0.003) Loss 1.9499 (2.0585) Prec@1 53.125 (47.095) Prec@5 80.625 (77.627) Epoch: [40][1830/11272] Time 0.724 (0.795) Data 0.001 (0.003) Loss 1.9494 (2.0585) Prec@1 50.625 (47.096) Prec@5 80.000 (77.623) Epoch: [40][1840/11272] Time 0.838 (0.795) Data 0.001 (0.003) Loss 2.3560 (2.0592) Prec@1 47.500 (47.086) Prec@5 74.375 (77.615) Epoch: [40][1850/11272] Time 0.836 (0.795) Data 0.001 (0.003) Loss 2.1160 (2.0592) Prec@1 46.875 (47.090) Prec@5 73.125 (77.612) Epoch: [40][1860/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 1.7596 (2.0591) Prec@1 57.500 (47.099) Prec@5 83.125 (77.614) Epoch: [40][1870/11272] Time 0.787 (0.795) Data 0.002 (0.003) Loss 2.1729 (2.0593) Prec@1 43.125 (47.093) Prec@5 75.625 (77.607) Epoch: [40][1880/11272] Time 0.902 (0.795) Data 0.001 (0.003) Loss 2.0933 (2.0591) Prec@1 41.250 (47.100) Prec@5 77.500 (77.606) Epoch: [40][1890/11272] Time 0.828 (0.795) Data 0.001 (0.003) Loss 1.9707 (2.0591) Prec@1 50.000 (47.098) Prec@5 78.125 (77.603) Epoch: [40][1900/11272] Time 0.752 (0.795) Data 0.002 (0.003) Loss 1.9098 (2.0589) Prec@1 49.375 (47.105) Prec@5 80.000 (77.606) Epoch: [40][1910/11272] Time 0.873 (0.795) Data 0.001 (0.003) Loss 1.8440 (2.0590) Prec@1 52.500 (47.109) Prec@5 80.625 (77.602) Epoch: [40][1920/11272] Time 0.886 (0.795) Data 0.001 (0.003) Loss 2.1339 (2.0590) Prec@1 40.625 (47.107) Prec@5 74.375 (77.605) Epoch: [40][1930/11272] Time 0.724 (0.795) Data 0.001 (0.003) Loss 2.0035 (2.0589) Prec@1 48.750 (47.110) Prec@5 76.875 (77.601) Epoch: [40][1940/11272] Time 0.744 (0.795) Data 0.004 (0.003) Loss 2.0239 (2.0587) Prec@1 48.125 (47.123) Prec@5 81.250 (77.604) Epoch: [40][1950/11272] Time 0.821 (0.795) Data 0.001 (0.003) Loss 2.1999 (2.0591) Prec@1 48.125 (47.111) Prec@5 71.250 (77.592) Epoch: [40][1960/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 1.8443 (2.0590) Prec@1 49.375 (47.112) Prec@5 84.375 (77.593) Epoch: [40][1970/11272] Time 0.719 (0.795) Data 0.001 (0.003) Loss 2.1168 (2.0589) Prec@1 45.000 (47.116) Prec@5 78.750 (77.597) Epoch: [40][1980/11272] Time 0.728 (0.795) Data 0.001 (0.003) Loss 2.1702 (2.0590) Prec@1 46.250 (47.112) Prec@5 77.500 (77.596) Epoch: [40][1990/11272] Time 0.840 (0.795) Data 0.001 (0.003) Loss 1.9152 (2.0593) Prec@1 53.125 (47.102) Prec@5 79.375 (77.591) Epoch: [40][2000/11272] Time 0.823 (0.795) Data 0.001 (0.003) Loss 2.0083 (2.0596) Prec@1 46.875 (47.092) Prec@5 78.750 (77.588) Epoch: [40][2010/11272] Time 0.730 (0.795) Data 0.001 (0.003) Loss 1.9562 (2.0597) Prec@1 50.000 (47.088) Prec@5 78.125 (77.585) Epoch: [40][2020/11272] Time 0.747 (0.794) Data 0.005 (0.003) Loss 1.9527 (2.0596) Prec@1 50.000 (47.093) Prec@5 80.000 (77.591) Epoch: [40][2030/11272] Time 0.824 (0.794) Data 0.001 (0.003) Loss 2.0815 (2.0601) Prec@1 49.375 (47.078) Prec@5 78.125 (77.584) Epoch: [40][2040/11272] Time 0.733 (0.794) Data 0.003 (0.003) Loss 2.0173 (2.0599) Prec@1 45.625 (47.073) Prec@5 80.625 (77.585) Epoch: [40][2050/11272] Time 0.747 (0.794) Data 0.001 (0.003) Loss 2.0211 (2.0599) Prec@1 46.250 (47.076) Prec@5 80.000 (77.581) Epoch: [40][2060/11272] Time 0.869 (0.794) Data 0.001 (0.003) Loss 1.9522 (2.0599) Prec@1 46.875 (47.072) Prec@5 78.750 (77.582) Epoch: [40][2070/11272] Time 0.856 (0.794) Data 0.002 (0.003) Loss 2.0294 (2.0598) Prec@1 42.500 (47.067) Prec@5 81.250 (77.583) Epoch: [40][2080/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 2.1206 (2.0601) Prec@1 45.000 (47.064) Prec@5 75.000 (77.582) Epoch: [40][2090/11272] Time 0.733 (0.794) Data 0.002 (0.003) Loss 1.8951 (2.0599) Prec@1 55.000 (47.064) Prec@5 82.500 (77.588) Epoch: [40][2100/11272] Time 0.833 (0.794) Data 0.001 (0.003) Loss 2.1235 (2.0597) Prec@1 44.375 (47.066) Prec@5 74.375 (77.591) Epoch: [40][2110/11272] Time 0.832 (0.794) Data 0.001 (0.003) Loss 2.0662 (2.0595) Prec@1 48.750 (47.066) Prec@5 80.000 (77.596) Epoch: [40][2120/11272] Time 0.706 (0.794) Data 0.001 (0.003) Loss 2.2060 (2.0594) Prec@1 42.500 (47.064) Prec@5 75.000 (77.597) Epoch: [40][2130/11272] Time 0.734 (0.794) Data 0.002 (0.003) Loss 2.0789 (2.0595) Prec@1 43.125 (47.056) Prec@5 78.125 (77.597) Epoch: [40][2140/11272] Time 0.852 (0.794) Data 0.001 (0.003) Loss 2.1306 (2.0595) Prec@1 46.875 (47.051) Prec@5 75.625 (77.595) Epoch: [40][2150/11272] Time 0.835 (0.794) Data 0.001 (0.003) Loss 1.9243 (2.0595) Prec@1 48.750 (47.056) Prec@5 80.625 (77.593) Epoch: [40][2160/11272] Time 0.742 (0.794) Data 0.002 (0.003) Loss 2.3087 (2.0598) Prec@1 41.875 (47.048) Prec@5 73.125 (77.591) Epoch: [40][2170/11272] Time 0.838 (0.794) Data 0.001 (0.003) Loss 2.3460 (2.0600) Prec@1 35.000 (47.043) Prec@5 73.750 (77.588) Epoch: [40][2180/11272] Time 0.853 (0.794) Data 0.001 (0.003) Loss 2.1097 (2.0600) Prec@1 43.125 (47.034) Prec@5 79.375 (77.591) Epoch: [40][2190/11272] Time 0.779 (0.794) Data 0.002 (0.003) Loss 2.1040 (2.0601) Prec@1 43.750 (47.030) Prec@5 78.125 (77.586) Epoch: [40][2200/11272] Time 0.712 (0.794) Data 0.001 (0.003) Loss 2.1983 (2.0599) Prec@1 46.250 (47.029) Prec@5 72.500 (77.590) Epoch: [40][2210/11272] Time 0.831 (0.794) Data 0.002 (0.003) Loss 2.0575 (2.0597) Prec@1 49.375 (47.042) Prec@5 77.500 (77.595) Epoch: [40][2220/11272] Time 0.852 (0.794) Data 0.001 (0.003) Loss 2.0191 (2.0599) Prec@1 43.750 (47.038) Prec@5 84.375 (77.592) Epoch: [40][2230/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 1.9650 (2.0598) Prec@1 47.500 (47.044) Prec@5 79.375 (77.590) Epoch: [40][2240/11272] Time 0.725 (0.794) Data 0.001 (0.003) Loss 2.0725 (2.0601) Prec@1 48.750 (47.041) Prec@5 75.625 (77.586) Epoch: [40][2250/11272] Time 0.854 (0.794) Data 0.002 (0.003) Loss 1.9511 (2.0604) Prec@1 47.500 (47.037) Prec@5 81.250 (77.577) Epoch: [40][2260/11272] Time 0.821 (0.794) Data 0.001 (0.003) Loss 2.0344 (2.0609) Prec@1 45.000 (47.024) Prec@5 80.625 (77.575) Epoch: [40][2270/11272] Time 0.729 (0.794) Data 0.001 (0.003) Loss 2.0313 (2.0611) Prec@1 48.125 (47.021) Prec@5 76.250 (77.572) Epoch: [40][2280/11272] Time 0.727 (0.794) Data 0.002 (0.003) Loss 2.0366 (2.0609) Prec@1 42.500 (47.024) Prec@5 81.250 (77.581) Epoch: [40][2290/11272] Time 0.844 (0.794) Data 0.002 (0.003) Loss 1.9935 (2.0608) Prec@1 50.000 (47.021) Prec@5 78.750 (77.582) Epoch: [40][2300/11272] Time 0.818 (0.794) Data 0.001 (0.003) Loss 2.1878 (2.0611) Prec@1 45.000 (47.009) Prec@5 70.000 (77.572) Epoch: [40][2310/11272] Time 0.749 (0.794) Data 0.002 (0.003) Loss 2.1260 (2.0615) Prec@1 51.250 (47.006) Prec@5 76.875 (77.569) Epoch: [40][2320/11272] Time 0.897 (0.794) Data 0.001 (0.003) Loss 1.9036 (2.0618) Prec@1 55.000 (46.998) Prec@5 80.000 (77.564) Epoch: [40][2330/11272] Time 0.833 (0.794) Data 0.002 (0.003) Loss 2.2350 (2.0620) Prec@1 45.625 (46.998) Prec@5 68.750 (77.557) Epoch: [40][2340/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 2.0626 (2.0617) Prec@1 46.875 (47.003) Prec@5 77.500 (77.563) Epoch: [40][2350/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0051 (2.0619) Prec@1 48.750 (46.997) Prec@5 79.375 (77.562) Epoch: [40][2360/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.0314 (2.0623) Prec@1 47.500 (46.980) Prec@5 78.125 (77.555) Epoch: [40][2370/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0881 (2.0624) Prec@1 45.000 (46.979) Prec@5 77.500 (77.553) Epoch: [40][2380/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2355 (2.0626) Prec@1 42.500 (46.970) Prec@5 73.750 (77.548) Epoch: [40][2390/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 1.8673 (2.0627) Prec@1 50.625 (46.967) Prec@5 81.250 (77.540) Epoch: [40][2400/11272] Time 0.892 (0.794) Data 0.001 (0.002) Loss 2.0715 (2.0625) Prec@1 45.625 (46.968) Prec@5 76.250 (77.542) Epoch: [40][2410/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.0424 (2.0626) Prec@1 52.500 (46.964) Prec@5 80.625 (77.542) Epoch: [40][2420/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 1.8358 (2.0625) Prec@1 54.375 (46.969) Prec@5 83.125 (77.539) Epoch: [40][2430/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.8449 (2.0623) Prec@1 49.375 (46.968) Prec@5 83.750 (77.543) Epoch: [40][2440/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.0285 (2.0623) Prec@1 49.375 (46.969) Prec@5 78.125 (77.547) Epoch: [40][2450/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.8506 (2.0623) Prec@1 52.500 (46.958) Prec@5 83.750 (77.552) Epoch: [40][2460/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0774 (2.0623) Prec@1 43.125 (46.957) Prec@5 78.750 (77.553) Epoch: [40][2470/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.1818 (2.0622) Prec@1 45.625 (46.963) Prec@5 75.000 (77.557) Epoch: [40][2480/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.3910 (2.0623) Prec@1 43.125 (46.957) Prec@5 73.125 (77.555) Epoch: [40][2490/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.1513 (2.0624) Prec@1 43.750 (46.959) Prec@5 78.125 (77.552) Epoch: [40][2500/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0907 (2.0622) Prec@1 43.750 (46.962) Prec@5 80.625 (77.556) Epoch: [40][2510/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.1563 (2.0621) Prec@1 40.625 (46.964) Prec@5 78.750 (77.561) Epoch: [40][2520/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 1.9261 (2.0621) Prec@1 48.125 (46.959) Prec@5 78.125 (77.559) Epoch: [40][2530/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 1.9568 (2.0619) Prec@1 48.750 (46.960) Prec@5 80.000 (77.562) Epoch: [40][2540/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.1693 (2.0619) Prec@1 45.625 (46.963) Prec@5 76.250 (77.561) Epoch: [40][2550/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1530 (2.0619) Prec@1 45.000 (46.961) Prec@5 78.125 (77.564) Epoch: [40][2560/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.2363 (2.0617) Prec@1 47.500 (46.967) Prec@5 73.750 (77.564) Epoch: [40][2570/11272] Time 0.785 (0.794) Data 0.002 (0.002) Loss 1.9013 (2.0613) Prec@1 48.750 (46.978) Prec@5 79.375 (77.574) Epoch: [40][2580/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 1.9163 (2.0613) Prec@1 46.875 (46.977) Prec@5 79.375 (77.578) Epoch: [40][2590/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.0060 (2.0610) Prec@1 48.750 (46.983) Prec@5 80.625 (77.582) Epoch: [40][2600/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.0537 (2.0610) Prec@1 48.750 (46.984) Prec@5 75.625 (77.579) Epoch: [40][2610/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1258 (2.0608) Prec@1 45.625 (46.988) Prec@5 75.625 (77.577) Epoch: [40][2620/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.0539 (2.0610) Prec@1 50.625 (46.983) Prec@5 77.500 (77.573) Epoch: [40][2630/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.2404 (2.0609) Prec@1 44.375 (46.986) Prec@5 71.875 (77.576) Epoch: [40][2640/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.9385 (2.0609) Prec@1 45.625 (46.988) Prec@5 79.375 (77.575) Epoch: [40][2650/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2192 (2.0611) Prec@1 45.000 (46.987) Prec@5 75.625 (77.570) Epoch: [40][2660/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1813 (2.0610) Prec@1 42.500 (46.984) Prec@5 72.500 (77.567) Epoch: [40][2670/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 2.0514 (2.0610) Prec@1 46.875 (46.986) Prec@5 78.125 (77.568) Epoch: [40][2680/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.0686 (2.0610) Prec@1 50.000 (46.987) Prec@5 76.875 (77.563) Epoch: [40][2690/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.1287 (2.0613) Prec@1 50.000 (46.983) Prec@5 75.000 (77.559) Epoch: [40][2700/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.1252 (2.0613) Prec@1 44.375 (46.980) Prec@5 76.250 (77.557) Epoch: [40][2710/11272] Time 0.731 (0.794) Data 0.004 (0.002) Loss 2.1040 (2.0613) Prec@1 43.750 (46.978) Prec@5 74.375 (77.559) Epoch: [40][2720/11272] Time 0.782 (0.794) Data 0.002 (0.002) Loss 2.1039 (2.0611) Prec@1 48.125 (46.984) Prec@5 75.000 (77.557) Epoch: [40][2730/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.0637 (2.0612) Prec@1 43.750 (46.982) Prec@5 78.750 (77.557) Epoch: [40][2740/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.3578 (2.0613) Prec@1 38.125 (46.979) Prec@5 70.625 (77.555) Epoch: [40][2750/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0140 (2.0613) Prec@1 48.125 (46.980) Prec@5 78.125 (77.553) Epoch: [40][2760/11272] Time 0.755 (0.794) Data 0.001 (0.002) Loss 2.0999 (2.0614) Prec@1 45.000 (46.976) Prec@5 76.875 (77.548) Epoch: [40][2770/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.9345 (2.0612) Prec@1 53.125 (46.981) Prec@5 78.125 (77.552) Epoch: [40][2780/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.1707 (2.0611) Prec@1 43.750 (46.984) Prec@5 76.875 (77.554) Epoch: [40][2790/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0844 (2.0611) Prec@1 50.625 (46.986) Prec@5 76.875 (77.550) Epoch: [40][2800/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.9235 (2.0611) Prec@1 46.875 (46.981) Prec@5 78.750 (77.552) Epoch: [40][2810/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.1148 (2.0610) Prec@1 47.500 (46.985) Prec@5 80.625 (77.556) Epoch: [40][2820/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1409 (2.0612) Prec@1 48.750 (46.984) Prec@5 75.625 (77.549) Epoch: [40][2830/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.8516 (2.0614) Prec@1 53.750 (46.978) Prec@5 82.500 (77.550) Epoch: [40][2840/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0786 (2.0615) Prec@1 49.375 (46.977) Prec@5 73.750 (77.549) Epoch: [40][2850/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.9726 (2.0617) Prec@1 47.500 (46.965) Prec@5 77.500 (77.543) Epoch: [40][2860/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1578 (2.0616) Prec@1 46.875 (46.968) Prec@5 78.750 (77.546) Epoch: [40][2870/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.0347 (2.0619) Prec@1 45.625 (46.963) Prec@5 78.750 (77.542) Epoch: [40][2880/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.8693 (2.0618) Prec@1 49.375 (46.969) Prec@5 81.250 (77.543) Epoch: [40][2890/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.2377 (2.0617) Prec@1 41.875 (46.974) Prec@5 72.500 (77.542) Epoch: [40][2900/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.9307 (2.0616) Prec@1 50.000 (46.974) Prec@5 78.750 (77.546) Epoch: [40][2910/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.0640 (2.0615) Prec@1 45.625 (46.978) Prec@5 77.500 (77.541) Epoch: [40][2920/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.1810 (2.0618) Prec@1 46.250 (46.974) Prec@5 76.875 (77.536) Epoch: [40][2930/11272] Time 0.814 (0.794) Data 0.002 (0.002) Loss 1.8290 (2.0618) Prec@1 55.000 (46.981) Prec@5 82.500 (77.537) Epoch: [40][2940/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 2.0786 (2.0618) Prec@1 47.500 (46.982) Prec@5 76.875 (77.535) Epoch: [40][2950/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0864 (2.0619) Prec@1 45.625 (46.981) Prec@5 76.875 (77.533) Epoch: [40][2960/11272] Time 0.900 (0.794) Data 0.002 (0.002) Loss 2.2866 (2.0620) Prec@1 47.500 (46.983) Prec@5 72.500 (77.530) Epoch: [40][2970/11272] Time 0.725 (0.794) Data 0.003 (0.002) Loss 1.8105 (2.0620) Prec@1 53.750 (46.985) Prec@5 80.000 (77.530) Epoch: [40][2980/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.2326 (2.0622) Prec@1 39.375 (46.979) Prec@5 75.625 (77.529) Epoch: [40][2990/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 1.9315 (2.0621) Prec@1 51.875 (46.981) Prec@5 78.125 (77.529) Epoch: [40][3000/11272] Time 0.816 (0.794) Data 0.002 (0.002) Loss 2.1924 (2.0622) Prec@1 39.375 (46.976) Prec@5 75.625 (77.526) Epoch: [40][3010/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.2798 (2.0623) Prec@1 45.000 (46.978) Prec@5 73.750 (77.522) Epoch: [40][3020/11272] Time 0.757 (0.794) Data 0.001 (0.002) Loss 2.3510 (2.0625) Prec@1 39.375 (46.976) Prec@5 73.750 (77.516) Epoch: [40][3030/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.1163 (2.0625) Prec@1 48.750 (46.979) Prec@5 75.000 (77.514) Epoch: [40][3040/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.1415 (2.0622) Prec@1 46.875 (46.985) Prec@5 76.250 (77.521) Epoch: [40][3050/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.1126 (2.0620) Prec@1 45.625 (46.992) Prec@5 76.250 (77.524) Epoch: [40][3060/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 2.0404 (2.0619) Prec@1 43.125 (46.993) Prec@5 77.500 (77.527) Epoch: [40][3070/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 2.0353 (2.0616) Prec@1 46.250 (46.997) Prec@5 76.875 (77.532) Epoch: [40][3080/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.2405 (2.0619) Prec@1 41.875 (46.991) Prec@5 71.875 (77.526) Epoch: [40][3090/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.3071 (2.0622) Prec@1 46.250 (46.992) Prec@5 71.250 (77.517) Epoch: [40][3100/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1634 (2.0624) Prec@1 47.500 (46.989) Prec@5 76.250 (77.517) Epoch: [40][3110/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 2.2800 (2.0627) Prec@1 43.750 (46.985) Prec@5 74.375 (77.512) Epoch: [40][3120/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.0394 (2.0627) Prec@1 46.250 (46.982) Prec@5 81.250 (77.512) Epoch: [40][3130/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 1.8932 (2.0627) Prec@1 47.500 (46.980) Prec@5 83.125 (77.517) Epoch: [40][3140/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.2280 (2.0627) Prec@1 41.875 (46.978) Prec@5 72.500 (77.515) Epoch: [40][3150/11272] Time 0.864 (0.794) Data 0.001 (0.002) Loss 2.0726 (2.0624) Prec@1 50.625 (46.986) Prec@5 73.750 (77.516) Epoch: [40][3160/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 2.3044 (2.0624) Prec@1 41.250 (46.986) Prec@5 71.875 (77.513) Epoch: [40][3170/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.2448 (2.0627) Prec@1 39.375 (46.979) Prec@5 71.250 (77.507) Epoch: [40][3180/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 1.6293 (2.0626) Prec@1 53.125 (46.974) Prec@5 83.125 (77.509) Epoch: [40][3190/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 1.9133 (2.0626) Prec@1 53.750 (46.981) Prec@5 84.375 (77.516) Epoch: [40][3200/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.2131 (2.0627) Prec@1 47.500 (46.982) Prec@5 73.750 (77.515) Epoch: [40][3210/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.1136 (2.0628) Prec@1 45.625 (46.982) Prec@5 75.000 (77.510) Epoch: [40][3220/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 2.4149 (2.0629) Prec@1 34.375 (46.976) Prec@5 71.250 (77.506) Epoch: [40][3230/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 1.9313 (2.0632) Prec@1 48.750 (46.970) Prec@5 79.375 (77.497) Epoch: [40][3240/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9440 (2.0633) Prec@1 48.125 (46.968) Prec@5 80.000 (77.496) Epoch: [40][3250/11272] Time 0.886 (0.794) Data 0.002 (0.002) Loss 1.6664 (2.0634) Prec@1 51.875 (46.964) Prec@5 84.375 (77.488) Epoch: [40][3260/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.3235 (2.0635) Prec@1 44.375 (46.964) Prec@5 71.875 (77.488) Epoch: [40][3270/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.9888 (2.0634) Prec@1 51.250 (46.973) Prec@5 81.875 (77.494) Epoch: [40][3280/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0577 (2.0631) Prec@1 44.375 (46.977) Prec@5 77.500 (77.499) Epoch: [40][3290/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.0440 (2.0632) Prec@1 46.250 (46.975) Prec@5 79.375 (77.498) Epoch: [40][3300/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.3161 (2.0633) Prec@1 44.375 (46.974) Prec@5 68.125 (77.496) Epoch: [40][3310/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.2371 (2.0634) Prec@1 41.250 (46.971) Prec@5 77.500 (77.497) Epoch: [40][3320/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.8882 (2.0635) Prec@1 49.375 (46.966) Prec@5 81.250 (77.494) Epoch: [40][3330/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 1.7976 (2.0635) Prec@1 55.000 (46.970) Prec@5 82.500 (77.497) Epoch: [40][3340/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 1.9017 (2.0634) Prec@1 51.875 (46.972) Prec@5 78.750 (77.499) Epoch: [40][3350/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0392 (2.0636) Prec@1 47.500 (46.973) Prec@5 76.875 (77.493) Epoch: [40][3360/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 1.9774 (2.0634) Prec@1 47.500 (46.972) Prec@5 79.375 (77.498) Epoch: [40][3370/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 2.0149 (2.0635) Prec@1 46.250 (46.968) Prec@5 76.875 (77.496) Epoch: [40][3380/11272] Time 0.768 (0.794) Data 0.001 (0.002) Loss 2.1784 (2.0636) Prec@1 46.875 (46.971) Prec@5 73.750 (77.489) Epoch: [40][3390/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 2.0885 (2.0636) Prec@1 48.750 (46.974) Prec@5 80.625 (77.491) Epoch: [40][3400/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.0335 (2.0637) Prec@1 44.375 (46.973) Prec@5 78.125 (77.485) Epoch: [40][3410/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.1554 (2.0638) Prec@1 44.375 (46.973) Prec@5 73.750 (77.481) Epoch: [40][3420/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.0435 (2.0638) Prec@1 49.375 (46.978) Prec@5 76.250 (77.481) Epoch: [40][3430/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.1702 (2.0640) Prec@1 44.375 (46.972) Prec@5 71.250 (77.476) Epoch: [40][3440/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.2231 (2.0641) Prec@1 41.875 (46.971) Prec@5 76.875 (77.476) Epoch: [40][3450/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.8151 (2.0640) Prec@1 53.125 (46.976) Prec@5 82.500 (77.478) Epoch: [40][3460/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 2.0505 (2.0641) Prec@1 50.000 (46.975) Prec@5 78.750 (77.478) Epoch: [40][3470/11272] Time 0.708 (0.793) Data 0.001 (0.002) Loss 2.2545 (2.0642) Prec@1 41.250 (46.970) Prec@5 75.625 (77.478) Epoch: [40][3480/11272] Time 0.855 (0.793) Data 0.001 (0.002) Loss 2.0335 (2.0643) Prec@1 46.250 (46.967) Prec@5 76.875 (77.474) Epoch: [40][3490/11272] Time 0.865 (0.793) Data 0.001 (0.002) Loss 2.0483 (2.0644) Prec@1 44.375 (46.967) Prec@5 77.500 (77.472) Epoch: [40][3500/11272] Time 0.757 (0.793) Data 0.002 (0.002) Loss 2.1753 (2.0644) Prec@1 45.625 (46.969) Prec@5 76.875 (77.468) Epoch: [40][3510/11272] Time 0.904 (0.794) Data 0.003 (0.002) Loss 2.0283 (2.0643) Prec@1 49.375 (46.973) Prec@5 78.125 (77.473) Epoch: [40][3520/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 1.8131 (2.0641) Prec@1 51.875 (46.973) Prec@5 83.125 (77.477) Epoch: [40][3530/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 2.1807 (2.0642) Prec@1 46.875 (46.974) Prec@5 72.500 (77.478) Epoch: [40][3540/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.2972 (2.0644) Prec@1 40.625 (46.972) Prec@5 75.625 (77.474) Epoch: [40][3550/11272] Time 0.826 (0.793) Data 0.002 (0.002) Loss 2.0621 (2.0646) Prec@1 48.750 (46.968) Prec@5 73.750 (77.471) Epoch: [40][3560/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.1274 (2.0645) Prec@1 44.375 (46.969) Prec@5 78.125 (77.472) Epoch: [40][3570/11272] Time 0.767 (0.793) Data 0.002 (0.002) Loss 2.2562 (2.0646) Prec@1 46.875 (46.966) Prec@5 70.625 (77.468) Epoch: [40][3580/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 1.8315 (2.0646) Prec@1 54.375 (46.965) Prec@5 76.875 (77.469) Epoch: [40][3590/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.0780 (2.0647) Prec@1 45.625 (46.964) Prec@5 78.750 (77.467) Epoch: [40][3600/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.3090 (2.0648) Prec@1 39.375 (46.962) Prec@5 76.250 (77.462) Epoch: [40][3610/11272] Time 0.776 (0.794) Data 0.001 (0.002) Loss 2.0533 (2.0646) Prec@1 50.625 (46.967) Prec@5 79.375 (77.464) Epoch: [40][3620/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 2.4430 (2.0648) Prec@1 35.625 (46.962) Prec@5 70.625 (77.460) Epoch: [40][3630/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.1718 (2.0651) Prec@1 47.500 (46.960) Prec@5 71.250 (77.454) Epoch: [40][3640/11272] Time 0.741 (0.794) Data 0.003 (0.002) Loss 1.9268 (2.0650) Prec@1 53.125 (46.960) Prec@5 76.250 (77.454) Epoch: [40][3650/11272] Time 0.763 (0.794) Data 0.003 (0.002) Loss 2.0330 (2.0651) Prec@1 47.500 (46.958) Prec@5 77.500 (77.452) Epoch: [40][3660/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.1221 (2.0652) Prec@1 46.875 (46.956) Prec@5 76.875 (77.450) Epoch: [40][3670/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0689 (2.0654) Prec@1 50.625 (46.955) Prec@5 73.750 (77.445) Epoch: [40][3680/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1278 (2.0654) Prec@1 43.125 (46.956) Prec@5 78.750 (77.448) Epoch: [40][3690/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.9690 (2.0655) Prec@1 48.750 (46.955) Prec@5 76.250 (77.446) Epoch: [40][3700/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.0424 (2.0653) Prec@1 45.625 (46.953) Prec@5 78.125 (77.448) Epoch: [40][3710/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.0984 (2.0656) Prec@1 46.250 (46.946) Prec@5 79.375 (77.443) Epoch: [40][3720/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.9343 (2.0654) Prec@1 48.750 (46.945) Prec@5 79.375 (77.444) Epoch: [40][3730/11272] Time 0.751 (0.793) Data 0.002 (0.002) Loss 1.9784 (2.0655) Prec@1 45.625 (46.941) Prec@5 78.125 (77.441) Epoch: [40][3740/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.9135 (2.0654) Prec@1 51.875 (46.944) Prec@5 78.750 (77.443) Epoch: [40][3750/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 1.9456 (2.0653) Prec@1 55.000 (46.946) Prec@5 81.250 (77.444) Epoch: [40][3760/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0676 (2.0652) Prec@1 43.125 (46.946) Prec@5 76.875 (77.445) Epoch: [40][3770/11272] Time 0.867 (0.794) Data 0.001 (0.002) Loss 2.1144 (2.0653) Prec@1 44.375 (46.943) Prec@5 75.000 (77.444) Epoch: [40][3780/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 1.8170 (2.0653) Prec@1 49.375 (46.941) Prec@5 81.875 (77.443) Epoch: [40][3790/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0743 (2.0654) Prec@1 45.000 (46.940) Prec@5 71.875 (77.440) Epoch: [40][3800/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.2499 (2.0654) Prec@1 41.250 (46.941) Prec@5 75.000 (77.442) Epoch: [40][3810/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.1833 (2.0656) Prec@1 42.500 (46.937) Prec@5 74.375 (77.437) Epoch: [40][3820/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 2.0675 (2.0657) Prec@1 43.125 (46.933) Prec@5 81.250 (77.434) Epoch: [40][3830/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 2.0467 (2.0657) Prec@1 44.375 (46.933) Prec@5 77.500 (77.433) Epoch: [40][3840/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 1.9711 (2.0657) Prec@1 50.000 (46.931) Prec@5 78.125 (77.433) Epoch: [40][3850/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 2.1281 (2.0657) Prec@1 41.875 (46.932) Prec@5 76.875 (77.432) Epoch: [40][3860/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 1.8385 (2.0657) Prec@1 51.250 (46.930) Prec@5 82.500 (77.435) Epoch: [40][3870/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 2.0228 (2.0658) Prec@1 48.750 (46.925) Prec@5 78.125 (77.430) Epoch: [40][3880/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.7121 (2.0657) Prec@1 51.250 (46.927) Prec@5 81.875 (77.432) Epoch: [40][3890/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.8999 (2.0659) Prec@1 50.000 (46.924) Prec@5 78.750 (77.425) Epoch: [40][3900/11272] Time 0.752 (0.793) Data 0.003 (0.002) Loss 2.2089 (2.0659) Prec@1 45.625 (46.923) Prec@5 73.125 (77.425) Epoch: [40][3910/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 2.0095 (2.0660) Prec@1 47.500 (46.918) Prec@5 81.875 (77.421) Epoch: [40][3920/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.0375 (2.0659) Prec@1 47.500 (46.917) Prec@5 78.125 (77.422) Epoch: [40][3930/11272] Time 0.873 (0.793) Data 0.002 (0.002) Loss 2.0316 (2.0660) Prec@1 48.125 (46.917) Prec@5 78.750 (77.420) Epoch: [40][3940/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0010 (2.0659) Prec@1 44.375 (46.916) Prec@5 80.000 (77.424) Epoch: [40][3950/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 2.2895 (2.0659) Prec@1 39.375 (46.916) Prec@5 75.625 (77.426) Epoch: [40][3960/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 2.1954 (2.0659) Prec@1 41.875 (46.913) Prec@5 75.000 (77.424) Epoch: [40][3970/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.9195 (2.0657) Prec@1 50.000 (46.919) Prec@5 80.625 (77.425) Epoch: [40][3980/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.1316 (2.0659) Prec@1 47.500 (46.917) Prec@5 76.250 (77.422) Epoch: [40][3990/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 2.1605 (2.0659) Prec@1 43.125 (46.919) Prec@5 75.000 (77.424) Epoch: [40][4000/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.1413 (2.0658) Prec@1 46.875 (46.923) Prec@5 77.500 (77.427) Epoch: [40][4010/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.0676 (2.0659) Prec@1 50.000 (46.926) Prec@5 75.000 (77.426) Epoch: [40][4020/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.8964 (2.0658) Prec@1 51.250 (46.928) Prec@5 81.875 (77.432) Epoch: [40][4030/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 2.0972 (2.0659) Prec@1 42.500 (46.928) Prec@5 78.750 (77.431) Epoch: [40][4040/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.1658 (2.0662) Prec@1 43.125 (46.925) Prec@5 74.375 (77.424) Epoch: [40][4050/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 2.3052 (2.0663) Prec@1 41.875 (46.923) Prec@5 75.625 (77.422) Epoch: [40][4060/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 2.3583 (2.0665) Prec@1 42.500 (46.921) Prec@5 75.000 (77.418) Epoch: [40][4070/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 2.2646 (2.0666) Prec@1 48.125 (46.923) Prec@5 76.875 (77.417) Epoch: [40][4080/11272] Time 0.816 (0.793) Data 0.001 (0.002) Loss 2.1860 (2.0668) Prec@1 43.750 (46.918) Prec@5 76.250 (77.414) Epoch: [40][4090/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 2.2514 (2.0669) Prec@1 44.375 (46.914) Prec@5 71.250 (77.408) Epoch: [40][4100/11272] Time 0.760 (0.793) Data 0.001 (0.002) Loss 2.1446 (2.0670) Prec@1 46.250 (46.914) Prec@5 76.250 (77.404) Epoch: [40][4110/11272] Time 0.907 (0.793) Data 0.002 (0.002) Loss 1.7652 (2.0670) Prec@1 49.375 (46.913) Prec@5 85.000 (77.404) Epoch: [40][4120/11272] Time 0.863 (0.793) Data 0.002 (0.002) Loss 2.2188 (2.0669) Prec@1 48.125 (46.916) Prec@5 76.875 (77.408) Epoch: [40][4130/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.0799 (2.0670) Prec@1 41.250 (46.909) Prec@5 81.250 (77.408) Epoch: [40][4140/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 2.2250 (2.0671) Prec@1 44.375 (46.907) Prec@5 73.125 (77.410) Epoch: [40][4150/11272] Time 0.821 (0.793) Data 0.002 (0.002) Loss 2.2243 (2.0672) Prec@1 42.500 (46.903) Prec@5 73.125 (77.406) Epoch: [40][4160/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 2.1577 (2.0672) Prec@1 43.125 (46.902) Prec@5 75.625 (77.403) Epoch: [40][4170/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 2.1073 (2.0672) Prec@1 45.625 (46.906) Prec@5 78.750 (77.404) Epoch: [40][4180/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 2.1026 (2.0673) Prec@1 45.000 (46.898) Prec@5 76.250 (77.399) Epoch: [40][4190/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 2.0241 (2.0672) Prec@1 47.500 (46.901) Prec@5 75.625 (77.400) Epoch: [40][4200/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.8568 (2.0672) Prec@1 51.875 (46.899) Prec@5 82.500 (77.402) Epoch: [40][4210/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 2.0644 (2.0673) Prec@1 46.250 (46.896) Prec@5 74.375 (77.399) Epoch: [40][4220/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 1.9857 (2.0673) Prec@1 50.000 (46.896) Prec@5 77.500 (77.401) Epoch: [40][4230/11272] Time 0.832 (0.793) Data 0.002 (0.002) Loss 1.8615 (2.0671) Prec@1 50.625 (46.901) Prec@5 82.500 (77.404) Epoch: [40][4240/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.9645 (2.0669) Prec@1 47.500 (46.904) Prec@5 81.875 (77.406) Epoch: [40][4250/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.3279 (2.0669) Prec@1 44.375 (46.904) Prec@5 75.625 (77.407) Epoch: [40][4260/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 1.9347 (2.0668) Prec@1 51.250 (46.908) Prec@5 78.125 (77.407) Epoch: [40][4270/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.9577 (2.0668) Prec@1 50.625 (46.911) Prec@5 76.875 (77.407) Epoch: [40][4280/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 2.2138 (2.0670) Prec@1 42.500 (46.905) Prec@5 76.250 (77.407) Epoch: [40][4290/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 2.2552 (2.0669) Prec@1 40.625 (46.905) Prec@5 75.625 (77.409) Epoch: [40][4300/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.0545 (2.0669) Prec@1 48.125 (46.904) Prec@5 74.375 (77.405) Epoch: [40][4310/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1161 (2.0670) Prec@1 47.500 (46.900) Prec@5 78.750 (77.407) Epoch: [40][4320/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 2.2719 (2.0671) Prec@1 43.750 (46.897) Prec@5 70.000 (77.405) Epoch: [40][4330/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.0370 (2.0671) Prec@1 48.750 (46.892) Prec@5 75.625 (77.406) Epoch: [40][4340/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 2.1951 (2.0670) Prec@1 42.500 (46.894) Prec@5 76.875 (77.409) Epoch: [40][4350/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.8439 (2.0670) Prec@1 53.750 (46.894) Prec@5 80.625 (77.412) Epoch: [40][4360/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.0731 (2.0668) Prec@1 46.875 (46.898) Prec@5 72.500 (77.412) Epoch: [40][4370/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 2.0236 (2.0668) Prec@1 50.000 (46.896) Prec@5 76.875 (77.411) Epoch: [40][4380/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 2.0467 (2.0668) Prec@1 50.000 (46.900) Prec@5 72.500 (77.410) Epoch: [40][4390/11272] Time 0.742 (0.793) Data 0.002 (0.002) Loss 1.9233 (2.0668) Prec@1 51.250 (46.900) Prec@5 76.875 (77.412) Epoch: [40][4400/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 2.1689 (2.0669) Prec@1 43.125 (46.899) Prec@5 73.750 (77.412) Epoch: [40][4410/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 2.0984 (2.0668) Prec@1 46.250 (46.900) Prec@5 76.875 (77.414) Epoch: [40][4420/11272] Time 0.959 (0.793) Data 0.001 (0.002) Loss 1.8971 (2.0668) Prec@1 50.000 (46.900) Prec@5 77.500 (77.414) Epoch: [40][4430/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.1003 (2.0669) Prec@1 48.125 (46.897) Prec@5 76.250 (77.414) Epoch: [40][4440/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 2.0672 (2.0670) Prec@1 50.000 (46.893) Prec@5 74.375 (77.414) Epoch: [40][4450/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 1.5125 (2.0668) Prec@1 57.500 (46.899) Prec@5 86.875 (77.420) Epoch: [40][4460/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 2.0883 (2.0669) Prec@1 46.250 (46.895) Prec@5 75.000 (77.417) Epoch: [40][4470/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.1848 (2.0667) Prec@1 46.875 (46.902) Prec@5 72.500 (77.420) Epoch: [40][4480/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 2.0860 (2.0667) Prec@1 45.000 (46.901) Prec@5 75.625 (77.419) Epoch: [40][4490/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.3777 (2.0669) Prec@1 40.625 (46.898) Prec@5 72.500 (77.415) Epoch: [40][4500/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 2.0735 (2.0670) Prec@1 47.500 (46.892) Prec@5 77.500 (77.412) Epoch: [40][4510/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 1.8484 (2.0673) Prec@1 48.750 (46.888) Prec@5 80.625 (77.407) Epoch: [40][4520/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.1578 (2.0672) Prec@1 43.750 (46.885) Prec@5 76.875 (77.407) Epoch: [40][4530/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.8072 (2.0672) Prec@1 55.000 (46.889) Prec@5 80.625 (77.407) Epoch: [40][4540/11272] Time 0.752 (0.793) Data 0.003 (0.002) Loss 2.2253 (2.0673) Prec@1 44.375 (46.888) Prec@5 75.000 (77.407) Epoch: [40][4550/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.9540 (2.0673) Prec@1 45.000 (46.886) Prec@5 80.625 (77.408) Epoch: [40][4560/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 2.1108 (2.0673) Prec@1 48.125 (46.888) Prec@5 76.875 (77.409) Epoch: [40][4570/11272] Time 0.728 (0.793) Data 0.003 (0.002) Loss 1.9320 (2.0674) Prec@1 43.750 (46.883) Prec@5 80.000 (77.407) Epoch: [40][4580/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 2.1138 (2.0674) Prec@1 40.625 (46.878) Prec@5 76.875 (77.407) Epoch: [40][4590/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 2.2721 (2.0674) Prec@1 42.500 (46.880) Prec@5 75.625 (77.407) Epoch: [40][4600/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.0917 (2.0673) Prec@1 45.625 (46.885) Prec@5 75.625 (77.407) Epoch: [40][4610/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 2.0934 (2.0675) Prec@1 47.500 (46.885) Prec@5 81.250 (77.408) Epoch: [40][4620/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 2.1002 (2.0674) Prec@1 45.625 (46.889) Prec@5 80.000 (77.409) Epoch: [40][4630/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 2.1819 (2.0674) Prec@1 45.000 (46.887) Prec@5 77.500 (77.408) Epoch: [40][4640/11272] Time 0.827 (0.793) Data 0.002 (0.002) Loss 2.0661 (2.0675) Prec@1 48.125 (46.887) Prec@5 75.000 (77.408) Epoch: [40][4650/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 2.0856 (2.0677) Prec@1 46.875 (46.882) Prec@5 76.875 (77.404) Epoch: [40][4660/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.7448 (2.0677) Prec@1 51.875 (46.880) Prec@5 85.625 (77.403) Epoch: [40][4670/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 2.0732 (2.0676) Prec@1 46.250 (46.882) Prec@5 78.125 (77.407) Epoch: [40][4680/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.1401 (2.0676) Prec@1 45.625 (46.882) Prec@5 81.250 (77.410) Epoch: [40][4690/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 2.1655 (2.0676) Prec@1 48.750 (46.881) Prec@5 75.625 (77.408) Epoch: [40][4700/11272] Time 0.870 (0.793) Data 0.001 (0.002) Loss 1.8875 (2.0678) Prec@1 47.500 (46.878) Prec@5 78.125 (77.409) Epoch: [40][4710/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.9254 (2.0677) Prec@1 50.000 (46.879) Prec@5 80.000 (77.407) Epoch: [40][4720/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 2.1184 (2.0678) Prec@1 50.000 (46.878) Prec@5 75.625 (77.406) Epoch: [40][4730/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.8841 (2.0678) Prec@1 48.125 (46.879) Prec@5 80.000 (77.407) Epoch: [40][4740/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.9009 (2.0677) Prec@1 51.250 (46.880) Prec@5 76.250 (77.411) Epoch: [40][4750/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 2.0530 (2.0676) Prec@1 38.750 (46.877) Prec@5 77.500 (77.410) Epoch: [40][4760/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.1511 (2.0678) Prec@1 43.750 (46.873) Prec@5 80.000 (77.410) Epoch: [40][4770/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 2.1574 (2.0677) Prec@1 45.625 (46.877) Prec@5 74.375 (77.411) Epoch: [40][4780/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.0377 (2.0678) Prec@1 43.125 (46.877) Prec@5 79.375 (77.408) Epoch: [40][4790/11272] Time 0.824 (0.793) Data 0.002 (0.002) Loss 2.2779 (2.0678) Prec@1 40.625 (46.877) Prec@5 75.000 (77.409) Epoch: [40][4800/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.1811 (2.0679) Prec@1 45.000 (46.876) Prec@5 73.125 (77.406) Epoch: [40][4810/11272] Time 0.749 (0.793) Data 0.002 (0.002) Loss 2.1616 (2.0678) Prec@1 44.375 (46.876) Prec@5 75.000 (77.406) Epoch: [40][4820/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.0754 (2.0677) Prec@1 48.125 (46.879) Prec@5 76.250 (77.409) Epoch: [40][4830/11272] Time 0.727 (0.793) Data 0.004 (0.002) Loss 1.9808 (2.0677) Prec@1 51.875 (46.880) Prec@5 79.375 (77.410) Epoch: [40][4840/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.1890 (2.0677) Prec@1 43.125 (46.876) Prec@5 70.625 (77.407) Epoch: [40][4850/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.2577 (2.0678) Prec@1 38.750 (46.873) Prec@5 76.875 (77.405) Epoch: [40][4860/11272] Time 0.879 (0.793) Data 0.002 (0.002) Loss 2.0309 (2.0676) Prec@1 48.750 (46.874) Prec@5 76.875 (77.408) Epoch: [40][4870/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 2.1735 (2.0676) Prec@1 42.500 (46.877) Prec@5 76.250 (77.407) Epoch: [40][4880/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2473 (2.0677) Prec@1 43.125 (46.877) Prec@5 77.500 (77.408) Epoch: [40][4890/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 2.0261 (2.0678) Prec@1 46.250 (46.873) Prec@5 78.750 (77.406) Epoch: [40][4900/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.0114 (2.0677) Prec@1 50.000 (46.874) Prec@5 76.250 (77.406) Epoch: [40][4910/11272] Time 0.758 (0.793) Data 0.002 (0.002) Loss 1.9277 (2.0675) Prec@1 51.250 (46.876) Prec@5 81.250 (77.409) Epoch: [40][4920/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1610 (2.0674) Prec@1 45.625 (46.878) Prec@5 76.875 (77.411) Epoch: [40][4930/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0540 (2.0675) Prec@1 46.250 (46.878) Prec@5 75.625 (77.409) Epoch: [40][4940/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.9647 (2.0675) Prec@1 48.750 (46.876) Prec@5 83.750 (77.412) Epoch: [40][4950/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.2084 (2.0677) Prec@1 47.500 (46.870) Prec@5 73.750 (77.407) Epoch: [40][4960/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 2.1254 (2.0677) Prec@1 50.000 (46.872) Prec@5 75.000 (77.407) Epoch: [40][4970/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.8672 (2.0677) Prec@1 51.250 (46.868) Prec@5 80.000 (77.403) Epoch: [40][4980/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.1042 (2.0678) Prec@1 46.875 (46.869) Prec@5 76.250 (77.402) Epoch: [40][4990/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.9853 (2.0679) Prec@1 46.875 (46.865) Prec@5 79.375 (77.401) Epoch: [40][5000/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 2.1226 (2.0679) Prec@1 40.000 (46.863) Prec@5 74.375 (77.401) Epoch: [40][5010/11272] Time 0.859 (0.793) Data 0.001 (0.002) Loss 2.1804 (2.0680) Prec@1 45.625 (46.864) Prec@5 75.000 (77.398) Epoch: [40][5020/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.2101 (2.0680) Prec@1 47.500 (46.867) Prec@5 73.750 (77.398) Epoch: [40][5030/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 2.0162 (2.0681) Prec@1 53.750 (46.864) Prec@5 78.125 (77.397) Epoch: [40][5040/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 2.0171 (2.0682) Prec@1 41.250 (46.861) Prec@5 79.375 (77.397) Epoch: [40][5050/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.2247 (2.0682) Prec@1 41.875 (46.857) Prec@5 73.125 (77.395) Epoch: [40][5060/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.8131 (2.0681) Prec@1 50.000 (46.860) Prec@5 84.375 (77.395) Epoch: [40][5070/11272] Time 0.757 (0.793) Data 0.002 (0.002) Loss 1.8114 (2.0681) Prec@1 53.750 (46.859) Prec@5 80.000 (77.393) Epoch: [40][5080/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.8413 (2.0680) Prec@1 53.125 (46.862) Prec@5 80.625 (77.395) Epoch: [40][5090/11272] Time 0.829 (0.793) Data 0.002 (0.002) Loss 1.8812 (2.0678) Prec@1 53.750 (46.867) Prec@5 80.000 (77.397) Epoch: [40][5100/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 1.9556 (2.0677) Prec@1 50.000 (46.871) Prec@5 78.750 (77.398) Epoch: [40][5110/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.7309 (2.0676) Prec@1 57.500 (46.872) Prec@5 83.125 (77.398) Epoch: [40][5120/11272] Time 0.863 (0.793) Data 0.002 (0.002) Loss 2.4700 (2.0678) Prec@1 41.250 (46.869) Prec@5 68.125 (77.394) Epoch: [40][5130/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0678 (2.0678) Prec@1 45.625 (46.867) Prec@5 76.250 (77.393) Epoch: [40][5140/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.9041 (2.0679) Prec@1 47.500 (46.865) Prec@5 79.375 (77.390) Epoch: [40][5150/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 1.9443 (2.0679) Prec@1 48.750 (46.867) Prec@5 81.875 (77.392) Epoch: [40][5160/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.0959 (2.0679) Prec@1 48.125 (46.868) Prec@5 77.500 (77.391) Epoch: [40][5170/11272] Time 0.752 (0.793) Data 0.002 (0.002) Loss 1.9045 (2.0679) Prec@1 48.750 (46.869) Prec@5 78.125 (77.389) Epoch: [40][5180/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.0773 (2.0679) Prec@1 49.375 (46.873) Prec@5 76.250 (77.390) Epoch: [40][5190/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 2.2077 (2.0679) Prec@1 41.250 (46.869) Prec@5 74.375 (77.390) Epoch: [40][5200/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.7573 (2.0677) Prec@1 53.125 (46.868) Prec@5 82.500 (77.395) Epoch: [40][5210/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.9610 (2.0678) Prec@1 45.000 (46.866) Prec@5 75.625 (77.395) Epoch: [40][5220/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.9438 (2.0677) Prec@1 52.500 (46.869) Prec@5 80.000 (77.398) Epoch: [40][5230/11272] Time 0.825 (0.793) Data 0.002 (0.002) Loss 2.1766 (2.0677) Prec@1 50.625 (46.872) Prec@5 75.000 (77.399) Epoch: [40][5240/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.1912 (2.0678) Prec@1 45.000 (46.872) Prec@5 75.000 (77.397) Epoch: [40][5250/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.1862 (2.0678) Prec@1 48.125 (46.872) Prec@5 74.375 (77.398) Epoch: [40][5260/11272] Time 0.797 (0.793) Data 0.001 (0.002) Loss 2.1186 (2.0678) Prec@1 45.000 (46.871) Prec@5 77.500 (77.397) Epoch: [40][5270/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 2.1825 (2.0677) Prec@1 45.000 (46.870) Prec@5 81.250 (77.400) Epoch: [40][5280/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 2.0319 (2.0677) Prec@1 49.375 (46.872) Prec@5 80.000 (77.402) Epoch: [40][5290/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.2323 (2.0677) Prec@1 43.750 (46.873) Prec@5 74.375 (77.403) Epoch: [40][5300/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 2.1242 (2.0678) Prec@1 50.000 (46.873) Prec@5 74.375 (77.401) Epoch: [40][5310/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.2726 (2.0679) Prec@1 43.125 (46.870) Prec@5 76.250 (77.401) Epoch: [40][5320/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 2.0613 (2.0679) Prec@1 45.625 (46.874) Prec@5 79.375 (77.401) Epoch: [40][5330/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.9865 (2.0679) Prec@1 53.125 (46.876) Prec@5 81.875 (77.400) Epoch: [40][5340/11272] Time 0.807 (0.793) Data 0.001 (0.002) Loss 2.1143 (2.0680) Prec@1 41.875 (46.874) Prec@5 78.125 (77.399) Epoch: [40][5350/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.9195 (2.0679) Prec@1 50.000 (46.874) Prec@5 81.250 (77.400) Epoch: [40][5360/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 1.8495 (2.0680) Prec@1 53.125 (46.873) Prec@5 80.000 (77.399) Epoch: [40][5370/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0570 (2.0680) Prec@1 46.250 (46.873) Prec@5 76.250 (77.398) Epoch: [40][5380/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 2.2596 (2.0681) Prec@1 41.875 (46.868) Prec@5 72.500 (77.397) Epoch: [40][5390/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.2305 (2.0681) Prec@1 46.250 (46.869) Prec@5 76.250 (77.397) Epoch: [40][5400/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.1355 (2.0682) Prec@1 47.500 (46.867) Prec@5 74.375 (77.395) Epoch: [40][5410/11272] Time 0.807 (0.793) Data 0.002 (0.002) Loss 1.7767 (2.0682) Prec@1 53.750 (46.865) Prec@5 81.250 (77.395) Epoch: [40][5420/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 2.2477 (2.0681) Prec@1 43.750 (46.868) Prec@5 77.500 (77.397) Epoch: [40][5430/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.9138 (2.0681) Prec@1 49.375 (46.869) Prec@5 78.750 (77.397) Epoch: [40][5440/11272] Time 0.731 (0.793) Data 0.002 (0.002) Loss 1.9354 (2.0681) Prec@1 49.375 (46.870) Prec@5 78.750 (77.397) Epoch: [40][5450/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.0825 (2.0681) Prec@1 47.500 (46.868) Prec@5 78.750 (77.399) Epoch: [40][5460/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.0316 (2.0682) Prec@1 53.125 (46.868) Prec@5 76.250 (77.398) Epoch: [40][5470/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 2.0164 (2.0682) Prec@1 46.875 (46.869) Prec@5 76.250 (77.396) Epoch: [40][5480/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 2.0658 (2.0681) Prec@1 46.875 (46.874) Prec@5 77.500 (77.398) Epoch: [40][5490/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.9813 (2.0681) Prec@1 51.250 (46.874) Prec@5 78.750 (77.395) Epoch: [40][5500/11272] Time 0.727 (0.793) Data 0.003 (0.002) Loss 2.1043 (2.0683) Prec@1 43.125 (46.870) Prec@5 76.250 (77.393) Epoch: [40][5510/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.9377 (2.0682) Prec@1 48.750 (46.872) Prec@5 80.000 (77.394) Epoch: [40][5520/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.9680 (2.0682) Prec@1 50.000 (46.871) Prec@5 78.750 (77.395) Epoch: [40][5530/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 2.0309 (2.0684) Prec@1 53.750 (46.871) Prec@5 77.500 (77.392) Epoch: [40][5540/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.8895 (2.0683) Prec@1 52.500 (46.874) Prec@5 78.125 (77.393) Epoch: [40][5550/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.8736 (2.0681) Prec@1 48.750 (46.878) Prec@5 82.500 (77.395) Epoch: [40][5560/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 2.2537 (2.0681) Prec@1 46.250 (46.879) Prec@5 74.375 (77.397) Epoch: [40][5570/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.2239 (2.0681) Prec@1 45.000 (46.880) Prec@5 71.875 (77.397) Epoch: [40][5580/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.1262 (2.0681) Prec@1 50.000 (46.880) Prec@5 76.250 (77.394) Epoch: [40][5590/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 2.2448 (2.0682) Prec@1 43.750 (46.876) Prec@5 72.500 (77.392) Epoch: [40][5600/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.2333 (2.0683) Prec@1 45.000 (46.875) Prec@5 75.000 (77.393) Epoch: [40][5610/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.9316 (2.0681) Prec@1 53.125 (46.877) Prec@5 77.500 (77.395) Epoch: [40][5620/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.0588 (2.0681) Prec@1 49.375 (46.877) Prec@5 77.500 (77.398) Epoch: [40][5630/11272] Time 0.888 (0.793) Data 0.002 (0.002) Loss 2.1000 (2.0680) Prec@1 45.625 (46.879) Prec@5 78.125 (77.399) Epoch: [40][5640/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.3877 (2.0680) Prec@1 41.875 (46.881) Prec@5 73.750 (77.399) Epoch: [40][5650/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.0072 (2.0680) Prec@1 49.375 (46.881) Prec@5 78.125 (77.397) Epoch: [40][5660/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.0202 (2.0680) Prec@1 47.500 (46.878) Prec@5 77.500 (77.397) Epoch: [40][5670/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.8510 (2.0679) Prec@1 47.500 (46.879) Prec@5 81.250 (77.399) Epoch: [40][5680/11272] Time 0.820 (0.793) Data 0.001 (0.002) Loss 2.0274 (2.0678) Prec@1 46.250 (46.879) Prec@5 76.875 (77.401) Epoch: [40][5690/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0861 (2.0679) Prec@1 45.000 (46.878) Prec@5 76.250 (77.402) Epoch: [40][5700/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.0850 (2.0678) Prec@1 45.000 (46.880) Prec@5 77.500 (77.402) Epoch: [40][5710/11272] Time 0.832 (0.792) Data 0.002 (0.002) Loss 2.2355 (2.0679) Prec@1 40.000 (46.879) Prec@5 75.625 (77.401) Epoch: [40][5720/11272] Time 0.855 (0.793) Data 0.001 (0.002) Loss 2.0820 (2.0679) Prec@1 44.375 (46.878) Prec@5 78.125 (77.401) Epoch: [40][5730/11272] Time 0.738 (0.792) Data 0.002 (0.002) Loss 1.7037 (2.0680) Prec@1 55.000 (46.879) Prec@5 81.875 (77.400) Epoch: [40][5740/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0411 (2.0679) Prec@1 46.250 (46.880) Prec@5 75.000 (77.399) Epoch: [40][5750/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.8627 (2.0678) Prec@1 52.500 (46.880) Prec@5 83.125 (77.399) Epoch: [40][5760/11272] Time 0.726 (0.792) Data 0.003 (0.002) Loss 2.1333 (2.0679) Prec@1 48.125 (46.881) Prec@5 80.000 (77.399) Epoch: [40][5770/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.9706 (2.0679) Prec@1 51.250 (46.883) Prec@5 82.500 (77.401) Epoch: [40][5780/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.1679 (2.0678) Prec@1 48.125 (46.883) Prec@5 74.375 (77.401) Epoch: [40][5790/11272] Time 0.811 (0.792) Data 0.002 (0.002) Loss 1.9762 (2.0677) Prec@1 45.000 (46.884) Prec@5 80.000 (77.403) Epoch: [40][5800/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.2096 (2.0677) Prec@1 44.375 (46.882) Prec@5 75.000 (77.402) Epoch: [40][5810/11272] Time 0.748 (0.792) Data 0.002 (0.002) Loss 1.8435 (2.0677) Prec@1 50.000 (46.883) Prec@5 85.625 (77.405) Epoch: [40][5820/11272] Time 0.844 (0.792) Data 0.001 (0.002) Loss 2.1612 (2.0676) Prec@1 42.500 (46.883) Prec@5 74.375 (77.405) Epoch: [40][5830/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.0190 (2.0676) Prec@1 46.875 (46.884) Prec@5 80.625 (77.406) Epoch: [40][5840/11272] Time 0.709 (0.792) Data 0.001 (0.002) Loss 1.9048 (2.0676) Prec@1 51.875 (46.885) Prec@5 84.375 (77.408) Epoch: [40][5850/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.1472 (2.0677) Prec@1 45.000 (46.881) Prec@5 74.375 (77.404) Epoch: [40][5860/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 1.9640 (2.0678) Prec@1 41.875 (46.877) Prec@5 80.625 (77.404) Epoch: [40][5870/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 1.9618 (2.0679) Prec@1 50.000 (46.875) Prec@5 76.875 (77.403) Epoch: [40][5880/11272] Time 0.700 (0.792) Data 0.001 (0.002) Loss 1.9504 (2.0679) Prec@1 49.375 (46.875) Prec@5 80.625 (77.403) Epoch: [40][5890/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.2374 (2.0680) Prec@1 43.750 (46.872) Prec@5 77.500 (77.400) Epoch: [40][5900/11272] Time 0.849 (0.792) Data 0.002 (0.002) Loss 1.9281 (2.0680) Prec@1 46.250 (46.871) Prec@5 79.375 (77.402) Epoch: [40][5910/11272] Time 0.727 (0.792) Data 0.002 (0.002) Loss 2.2640 (2.0680) Prec@1 39.375 (46.871) Prec@5 75.000 (77.403) Epoch: [40][5920/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.1707 (2.0680) Prec@1 48.750 (46.869) Prec@5 71.875 (77.404) Epoch: [40][5930/11272] Time 0.827 (0.792) Data 0.002 (0.002) Loss 1.9468 (2.0680) Prec@1 48.125 (46.868) Prec@5 81.875 (77.404) Epoch: [40][5940/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.0327 (2.0681) Prec@1 51.875 (46.868) Prec@5 78.125 (77.403) Epoch: [40][5950/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.1187 (2.0682) Prec@1 47.500 (46.866) Prec@5 76.875 (77.402) Epoch: [40][5960/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.3097 (2.0683) Prec@1 45.000 (46.868) Prec@5 75.625 (77.401) Epoch: [40][5970/11272] Time 0.884 (0.792) Data 0.002 (0.002) Loss 1.9670 (2.0682) Prec@1 46.875 (46.868) Prec@5 79.375 (77.403) Epoch: [40][5980/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.0926 (2.0682) Prec@1 47.500 (46.868) Prec@5 72.500 (77.404) Epoch: [40][5990/11272] Time 0.744 (0.792) Data 0.002 (0.002) Loss 2.2179 (2.0682) Prec@1 48.125 (46.869) Prec@5 71.875 (77.405) Epoch: [40][6000/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.2974 (2.0682) Prec@1 42.500 (46.871) Prec@5 76.250 (77.405) Epoch: [40][6010/11272] Time 0.873 (0.792) Data 0.002 (0.002) Loss 1.9843 (2.0683) Prec@1 44.375 (46.868) Prec@5 80.000 (77.403) Epoch: [40][6020/11272] Time 0.869 (0.792) Data 0.002 (0.002) Loss 2.1566 (2.0683) Prec@1 41.250 (46.867) Prec@5 76.250 (77.405) Epoch: [40][6030/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.9150 (2.0685) Prec@1 51.250 (46.865) Prec@5 81.250 (77.405) Epoch: [40][6040/11272] Time 0.862 (0.792) Data 0.001 (0.002) Loss 2.2165 (2.0684) Prec@1 47.500 (46.867) Prec@5 74.375 (77.405) Epoch: [40][6050/11272] Time 0.831 (0.792) Data 0.002 (0.002) Loss 1.9575 (2.0682) Prec@1 53.750 (46.871) Prec@5 81.250 (77.407) Epoch: [40][6060/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 1.9591 (2.0683) Prec@1 51.875 (46.872) Prec@5 79.375 (77.408) Epoch: [40][6070/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.3779 (2.0682) Prec@1 41.250 (46.874) Prec@5 68.750 (77.406) Epoch: [40][6080/11272] Time 0.811 (0.792) Data 0.001 (0.002) Loss 1.9042 (2.0682) Prec@1 56.250 (46.877) Prec@5 80.000 (77.406) Epoch: [40][6090/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0315 (2.0681) Prec@1 47.500 (46.878) Prec@5 80.000 (77.409) Epoch: [40][6100/11272] Time 0.764 (0.792) Data 0.001 (0.002) Loss 2.1045 (2.0682) Prec@1 46.250 (46.875) Prec@5 79.375 (77.406) Epoch: [40][6110/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 1.9689 (2.0681) Prec@1 48.750 (46.876) Prec@5 80.625 (77.406) Epoch: [40][6120/11272] Time 0.880 (0.792) Data 0.002 (0.002) Loss 2.1818 (2.0682) Prec@1 42.500 (46.873) Prec@5 73.750 (77.404) Epoch: [40][6130/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.8892 (2.0682) Prec@1 55.000 (46.877) Prec@5 78.750 (77.405) Epoch: [40][6140/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 2.2619 (2.0680) Prec@1 44.375 (46.879) Prec@5 72.500 (77.405) Epoch: [40][6150/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.2236 (2.0681) Prec@1 42.500 (46.876) Prec@5 73.750 (77.404) Epoch: [40][6160/11272] Time 0.799 (0.792) Data 0.001 (0.002) Loss 1.8362 (2.0682) Prec@1 51.250 (46.875) Prec@5 81.875 (77.401) Epoch: [40][6170/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 2.2161 (2.0683) Prec@1 45.625 (46.873) Prec@5 75.625 (77.401) Epoch: [40][6180/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.1815 (2.0684) Prec@1 48.125 (46.872) Prec@5 74.375 (77.399) Epoch: [40][6190/11272] Time 0.837 (0.792) Data 0.002 (0.002) Loss 2.2087 (2.0684) Prec@1 46.875 (46.871) Prec@5 75.000 (77.398) Epoch: [40][6200/11272] Time 0.891 (0.792) Data 0.001 (0.002) Loss 2.2175 (2.0685) Prec@1 46.875 (46.871) Prec@5 76.875 (77.397) Epoch: [40][6210/11272] Time 0.727 (0.792) Data 0.002 (0.002) Loss 2.2334 (2.0685) Prec@1 41.250 (46.868) Prec@5 77.500 (77.395) Epoch: [40][6220/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.0848 (2.0685) Prec@1 46.250 (46.867) Prec@5 75.625 (77.395) Epoch: [40][6230/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.9964 (2.0685) Prec@1 53.750 (46.867) Prec@5 75.000 (77.395) Epoch: [40][6240/11272] Time 0.794 (0.792) Data 0.001 (0.002) Loss 2.1485 (2.0685) Prec@1 43.750 (46.866) Prec@5 73.750 (77.394) Epoch: [40][6250/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 2.1315 (2.0684) Prec@1 44.375 (46.869) Prec@5 76.250 (77.396) Epoch: [40][6260/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 2.0200 (2.0683) Prec@1 54.375 (46.872) Prec@5 78.750 (77.397) Epoch: [40][6270/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 1.9582 (2.0683) Prec@1 48.750 (46.872) Prec@5 78.125 (77.399) Epoch: [40][6280/11272] Time 0.887 (0.792) Data 0.001 (0.002) Loss 2.0663 (2.0683) Prec@1 45.625 (46.871) Prec@5 76.250 (77.398) Epoch: [40][6290/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9366 (2.0683) Prec@1 48.125 (46.869) Prec@5 80.000 (77.400) Epoch: [40][6300/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.1284 (2.0683) Prec@1 43.125 (46.869) Prec@5 76.250 (77.401) Epoch: [40][6310/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0210 (2.0683) Prec@1 48.750 (46.868) Prec@5 77.500 (77.399) Epoch: [40][6320/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 1.7913 (2.0683) Prec@1 55.625 (46.868) Prec@5 80.625 (77.399) Epoch: [40][6330/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.0448 (2.0683) Prec@1 48.125 (46.868) Prec@5 76.250 (77.397) Epoch: [40][6340/11272] Time 0.851 (0.792) Data 0.002 (0.002) Loss 1.8277 (2.0681) Prec@1 48.750 (46.872) Prec@5 84.375 (77.398) Epoch: [40][6350/11272] Time 0.890 (0.792) Data 0.002 (0.002) Loss 2.0389 (2.0682) Prec@1 44.375 (46.869) Prec@5 75.000 (77.397) Epoch: [40][6360/11272] Time 0.760 (0.792) Data 0.002 (0.002) Loss 1.7303 (2.0682) Prec@1 53.750 (46.869) Prec@5 85.000 (77.399) Epoch: [40][6370/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0847 (2.0682) Prec@1 46.250 (46.870) Prec@5 78.125 (77.399) Epoch: [40][6380/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 1.8382 (2.0681) Prec@1 51.875 (46.871) Prec@5 81.250 (77.400) Epoch: [40][6390/11272] Time 0.842 (0.792) Data 0.002 (0.002) Loss 2.1471 (2.0681) Prec@1 40.000 (46.871) Prec@5 78.125 (77.402) Epoch: [40][6400/11272] Time 0.742 (0.792) Data 0.002 (0.002) Loss 2.1043 (2.0682) Prec@1 46.250 (46.868) Prec@5 73.125 (77.401) Epoch: [40][6410/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 1.9634 (2.0681) Prec@1 48.750 (46.868) Prec@5 76.250 (77.403) Epoch: [40][6420/11272] Time 0.885 (0.792) Data 0.002 (0.002) Loss 2.1789 (2.0680) Prec@1 43.125 (46.868) Prec@5 75.000 (77.404) Epoch: [40][6430/11272] Time 0.728 (0.792) Data 0.003 (0.002) Loss 2.2444 (2.0683) Prec@1 48.750 (46.864) Prec@5 75.000 (77.398) Epoch: [40][6440/11272] Time 0.738 (0.792) Data 0.002 (0.002) Loss 2.3492 (2.0683) Prec@1 45.000 (46.864) Prec@5 72.500 (77.398) Epoch: [40][6450/11272] Time 0.846 (0.792) Data 0.002 (0.002) Loss 2.0337 (2.0683) Prec@1 46.875 (46.866) Prec@5 78.125 (77.399) Epoch: [40][6460/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.9761 (2.0683) Prec@1 49.375 (46.865) Prec@5 77.500 (77.397) Epoch: [40][6470/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 1.9277 (2.0682) Prec@1 51.250 (46.868) Prec@5 81.250 (77.400) Epoch: [40][6480/11272] Time 0.715 (0.792) Data 0.001 (0.002) Loss 2.0887 (2.0681) Prec@1 46.875 (46.870) Prec@5 77.500 (77.402) Epoch: [40][6490/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0835 (2.0680) Prec@1 47.500 (46.872) Prec@5 78.750 (77.401) Epoch: [40][6500/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 2.5335 (2.0682) Prec@1 38.125 (46.869) Prec@5 68.125 (77.398) Epoch: [40][6510/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.1393 (2.0681) Prec@1 44.375 (46.871) Prec@5 74.375 (77.399) Epoch: [40][6520/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 2.2527 (2.0679) Prec@1 45.000 (46.875) Prec@5 71.875 (77.401) Epoch: [40][6530/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.6538 (2.0680) Prec@1 31.875 (46.874) Prec@5 68.125 (77.399) Epoch: [40][6540/11272] Time 0.812 (0.792) Data 0.001 (0.002) Loss 2.0392 (2.0680) Prec@1 45.000 (46.875) Prec@5 80.000 (77.400) Epoch: [40][6550/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.8059 (2.0681) Prec@1 52.500 (46.873) Prec@5 83.750 (77.398) Epoch: [40][6560/11272] Time 0.870 (0.792) Data 0.002 (0.002) Loss 2.1721 (2.0682) Prec@1 45.000 (46.870) Prec@5 78.125 (77.397) Epoch: [40][6570/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.1009 (2.0681) Prec@1 43.125 (46.868) Prec@5 77.500 (77.401) Epoch: [40][6580/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.3584 (2.0683) Prec@1 41.875 (46.865) Prec@5 73.750 (77.399) Epoch: [40][6590/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 1.9588 (2.0683) Prec@1 48.750 (46.864) Prec@5 80.000 (77.396) Epoch: [40][6600/11272] Time 0.883 (0.792) Data 0.002 (0.002) Loss 2.3874 (2.0685) Prec@1 40.000 (46.862) Prec@5 73.750 (77.397) Epoch: [40][6610/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 1.9992 (2.0685) Prec@1 47.500 (46.861) Prec@5 80.000 (77.396) Epoch: [40][6620/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 1.9892 (2.0685) Prec@1 43.125 (46.860) Prec@5 78.750 (77.395) Epoch: [40][6630/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 2.1407 (2.0686) Prec@1 48.750 (46.860) Prec@5 76.250 (77.397) Epoch: [40][6640/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.1202 (2.0687) Prec@1 42.500 (46.861) Prec@5 73.750 (77.394) Epoch: [40][6650/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0939 (2.0688) Prec@1 46.875 (46.857) Prec@5 78.750 (77.393) Epoch: [40][6660/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 1.9892 (2.0688) Prec@1 51.250 (46.857) Prec@5 81.875 (77.392) Epoch: [40][6670/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.0466 (2.0688) Prec@1 47.500 (46.857) Prec@5 75.625 (77.394) Epoch: [40][6680/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 2.0417 (2.0687) Prec@1 45.000 (46.858) Prec@5 79.375 (77.396) Epoch: [40][6690/11272] Time 0.738 (0.792) Data 0.004 (0.002) Loss 1.9100 (2.0687) Prec@1 53.750 (46.860) Prec@5 78.750 (77.396) Epoch: [40][6700/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 1.8332 (2.0687) Prec@1 56.250 (46.861) Prec@5 84.375 (77.396) Epoch: [40][6710/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.1029 (2.0688) Prec@1 49.375 (46.858) Prec@5 79.375 (77.394) Epoch: [40][6720/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 2.1604 (2.0690) Prec@1 45.625 (46.855) Prec@5 75.000 (77.390) Epoch: [40][6730/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1493 (2.0691) Prec@1 46.250 (46.854) Prec@5 76.250 (77.387) Epoch: [40][6740/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 2.0711 (2.0692) Prec@1 46.875 (46.855) Prec@5 79.375 (77.386) Epoch: [40][6750/11272] Time 0.861 (0.792) Data 0.001 (0.002) Loss 2.3107 (2.0691) Prec@1 46.250 (46.857) Prec@5 74.375 (77.384) Epoch: [40][6760/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.1643 (2.0693) Prec@1 43.125 (46.855) Prec@5 75.000 (77.381) Epoch: [40][6770/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.0875 (2.0693) Prec@1 47.500 (46.853) Prec@5 77.500 (77.380) Epoch: [40][6780/11272] Time 0.716 (0.792) Data 0.002 (0.002) Loss 1.8459 (2.0691) Prec@1 51.875 (46.856) Prec@5 81.250 (77.386) Epoch: [40][6790/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.0500 (2.0692) Prec@1 47.500 (46.854) Prec@5 77.500 (77.384) Epoch: [40][6800/11272] Time 0.885 (0.792) Data 0.002 (0.002) Loss 2.1806 (2.0693) Prec@1 44.375 (46.853) Prec@5 71.250 (77.384) Epoch: [40][6810/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.1261 (2.0693) Prec@1 46.875 (46.851) Prec@5 75.000 (77.381) Epoch: [40][6820/11272] Time 0.870 (0.792) Data 0.002 (0.002) Loss 2.2859 (2.0694) Prec@1 45.000 (46.850) Prec@5 73.750 (77.378) Epoch: [40][6830/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 2.1254 (2.0695) Prec@1 43.125 (46.848) Prec@5 76.250 (77.378) Epoch: [40][6840/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9427 (2.0694) Prec@1 45.625 (46.850) Prec@5 84.375 (77.381) Epoch: [40][6850/11272] Time 0.722 (0.792) Data 0.002 (0.002) Loss 2.1937 (2.0694) Prec@1 47.500 (46.848) Prec@5 79.375 (77.381) Epoch: [40][6860/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.0010 (2.0696) Prec@1 48.125 (46.847) Prec@5 76.250 (77.378) Epoch: [40][6870/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.0826 (2.0696) Prec@1 48.750 (46.845) Prec@5 75.000 (77.378) Epoch: [40][6880/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.2088 (2.0697) Prec@1 44.375 (46.845) Prec@5 78.125 (77.377) Epoch: [40][6890/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.4863 (2.0697) Prec@1 41.250 (46.844) Prec@5 71.875 (77.378) Epoch: [40][6900/11272] Time 0.871 (0.792) Data 0.001 (0.002) Loss 2.2064 (2.0699) Prec@1 46.250 (46.843) Prec@5 74.375 (77.375) Epoch: [40][6910/11272] Time 0.837 (0.792) Data 0.002 (0.002) Loss 2.0005 (2.0698) Prec@1 51.250 (46.845) Prec@5 77.500 (77.376) Epoch: [40][6920/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.0142 (2.0697) Prec@1 48.125 (46.846) Prec@5 78.125 (77.377) Epoch: [40][6930/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 1.9504 (2.0698) Prec@1 46.875 (46.847) Prec@5 80.000 (77.378) Epoch: [40][6940/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 2.1437 (2.0698) Prec@1 47.500 (46.845) Prec@5 75.000 (77.377) Epoch: [40][6950/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.0821 (2.0699) Prec@1 46.250 (46.844) Prec@5 75.000 (77.378) Epoch: [40][6960/11272] Time 0.748 (0.792) Data 0.001 (0.002) Loss 2.0872 (2.0699) Prec@1 47.500 (46.842) Prec@5 78.125 (77.379) Epoch: [40][6970/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 1.7928 (2.0699) Prec@1 50.000 (46.842) Prec@5 83.125 (77.380) Epoch: [40][6980/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.2735 (2.0700) Prec@1 41.250 (46.839) Prec@5 76.875 (77.377) Epoch: [40][6990/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.0432 (2.0700) Prec@1 51.250 (46.841) Prec@5 75.625 (77.377) Epoch: [40][7000/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 1.9951 (2.0700) Prec@1 51.250 (46.843) Prec@5 79.375 (77.378) Epoch: [40][7010/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.9786 (2.0700) Prec@1 47.500 (46.842) Prec@5 78.750 (77.377) Epoch: [40][7020/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 1.9779 (2.0700) Prec@1 52.500 (46.842) Prec@5 80.000 (77.376) Epoch: [40][7030/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 1.9565 (2.0702) Prec@1 48.750 (46.839) Prec@5 78.750 (77.374) Epoch: [40][7040/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0645 (2.0702) Prec@1 46.250 (46.839) Prec@5 79.375 (77.373) Epoch: [40][7050/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 2.2134 (2.0703) Prec@1 41.250 (46.836) Prec@5 75.625 (77.370) Epoch: [40][7060/11272] Time 0.831 (0.792) Data 0.002 (0.002) Loss 1.7714 (2.0704) Prec@1 55.625 (46.833) Prec@5 83.750 (77.369) Epoch: [40][7070/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.0400 (2.0704) Prec@1 51.875 (46.832) Prec@5 78.125 (77.368) Epoch: [40][7080/11272] Time 0.727 (0.792) Data 0.002 (0.002) Loss 2.0968 (2.0704) Prec@1 46.250 (46.833) Prec@5 78.750 (77.367) Epoch: [40][7090/11272] Time 0.859 (0.792) Data 0.002 (0.002) Loss 2.1153 (2.0705) Prec@1 45.625 (46.827) Prec@5 75.000 (77.365) Epoch: [40][7100/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 2.1658 (2.0705) Prec@1 47.500 (46.825) Prec@5 76.875 (77.365) Epoch: [40][7110/11272] Time 0.744 (0.792) Data 0.002 (0.002) Loss 2.3798 (2.0706) Prec@1 38.750 (46.823) Prec@5 71.250 (77.366) Epoch: [40][7120/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 1.7984 (2.0705) Prec@1 53.750 (46.824) Prec@5 81.875 (77.367) Epoch: [40][7130/11272] Time 0.854 (0.792) Data 0.002 (0.002) Loss 1.9916 (2.0706) Prec@1 51.875 (46.827) Prec@5 80.000 (77.366) Epoch: [40][7140/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.9366 (2.0706) Prec@1 50.625 (46.826) Prec@5 80.625 (77.367) Epoch: [40][7150/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 1.9893 (2.0707) Prec@1 47.500 (46.826) Prec@5 77.500 (77.364) Epoch: [40][7160/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 1.9337 (2.0706) Prec@1 51.250 (46.828) Prec@5 78.750 (77.366) Epoch: [40][7170/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 2.1750 (2.0707) Prec@1 45.625 (46.825) Prec@5 72.500 (77.364) Epoch: [40][7180/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.0509 (2.0707) Prec@1 47.500 (46.823) Prec@5 78.125 (77.365) Epoch: [40][7190/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 2.0545 (2.0707) Prec@1 45.625 (46.825) Prec@5 80.625 (77.366) Epoch: [40][7200/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.0678 (2.0707) Prec@1 50.625 (46.824) Prec@5 75.000 (77.366) Epoch: [40][7210/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.0179 (2.0707) Prec@1 48.125 (46.825) Prec@5 78.750 (77.367) Epoch: [40][7220/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9562 (2.0707) Prec@1 48.125 (46.825) Prec@5 80.625 (77.367) Epoch: [40][7230/11272] Time 0.865 (0.792) Data 0.001 (0.002) Loss 2.0416 (2.0708) Prec@1 50.000 (46.823) Prec@5 76.875 (77.366) Epoch: [40][7240/11272] Time 0.886 (0.792) Data 0.002 (0.002) Loss 2.1505 (2.0708) Prec@1 44.375 (46.823) Prec@5 75.625 (77.366) Epoch: [40][7250/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.8601 (2.0708) Prec@1 52.500 (46.824) Prec@5 80.625 (77.365) Epoch: [40][7260/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 2.4261 (2.0709) Prec@1 43.125 (46.824) Prec@5 70.000 (77.364) Epoch: [40][7270/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.2471 (2.0708) Prec@1 44.375 (46.828) Prec@5 73.125 (77.365) Epoch: [40][7280/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.2512 (2.0708) Prec@1 40.000 (46.829) Prec@5 75.000 (77.364) Epoch: [40][7290/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.9103 (2.0708) Prec@1 43.750 (46.827) Prec@5 81.250 (77.365) Epoch: [40][7300/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.8409 (2.0708) Prec@1 56.250 (46.828) Prec@5 79.375 (77.364) Epoch: [40][7310/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.1709 (2.0708) Prec@1 41.875 (46.828) Prec@5 79.375 (77.365) Epoch: [40][7320/11272] Time 0.869 (0.792) Data 0.001 (0.002) Loss 2.1958 (2.0708) Prec@1 51.250 (46.829) Prec@5 73.750 (77.364) Epoch: [40][7330/11272] Time 0.722 (0.792) Data 0.002 (0.002) Loss 2.0664 (2.0708) Prec@1 46.250 (46.829) Prec@5 77.500 (77.364) Epoch: [40][7340/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.0444 (2.0709) Prec@1 47.500 (46.828) Prec@5 82.500 (77.363) Epoch: [40][7350/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.5302 (2.0710) Prec@1 38.750 (46.826) Prec@5 65.000 (77.361) Epoch: [40][7360/11272] Time 0.735 (0.792) Data 0.003 (0.002) Loss 2.3202 (2.0711) Prec@1 40.625 (46.822) Prec@5 71.250 (77.358) Epoch: [40][7370/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1022 (2.0711) Prec@1 45.625 (46.822) Prec@5 76.875 (77.357) Epoch: [40][7380/11272] Time 0.849 (0.792) Data 0.002 (0.002) Loss 2.1357 (2.0710) Prec@1 45.000 (46.825) Prec@5 76.875 (77.360) Epoch: [40][7390/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.0892 (2.0709) Prec@1 51.250 (46.827) Prec@5 78.125 (77.361) Epoch: [40][7400/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 1.9414 (2.0711) Prec@1 51.250 (46.826) Prec@5 83.125 (77.359) Epoch: [40][7410/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.8928 (2.0710) Prec@1 50.000 (46.824) Prec@5 80.000 (77.360) Epoch: [40][7420/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 2.2659 (2.0711) Prec@1 41.875 (46.820) Prec@5 70.000 (77.358) Epoch: [40][7430/11272] Time 0.878 (0.792) Data 0.001 (0.002) Loss 1.8258 (2.0712) Prec@1 51.250 (46.819) Prec@5 81.250 (77.357) Epoch: [40][7440/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.1976 (2.0712) Prec@1 47.500 (46.818) Prec@5 71.875 (77.356) Epoch: [40][7450/11272] Time 0.774 (0.792) Data 0.002 (0.002) Loss 2.4111 (2.0711) Prec@1 38.750 (46.818) Prec@5 72.500 (77.358) Epoch: [40][7460/11272] Time 0.812 (0.792) Data 0.001 (0.002) Loss 2.3859 (2.0712) Prec@1 41.250 (46.816) Prec@5 73.125 (77.358) Epoch: [40][7470/11272] Time 0.814 (0.792) Data 0.001 (0.002) Loss 1.8466 (2.0713) Prec@1 50.625 (46.816) Prec@5 80.625 (77.358) Epoch: [40][7480/11272] Time 0.719 (0.792) Data 0.002 (0.002) Loss 2.1175 (2.0712) Prec@1 46.250 (46.816) Prec@5 74.375 (77.359) Epoch: [40][7490/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.0266 (2.0713) Prec@1 50.625 (46.814) Prec@5 75.625 (77.356) Epoch: [40][7500/11272] Time 0.861 (0.792) Data 0.001 (0.002) Loss 2.0693 (2.0713) Prec@1 48.125 (46.814) Prec@5 77.500 (77.356) Epoch: [40][7510/11272] Time 0.760 (0.792) Data 0.001 (0.002) Loss 2.2493 (2.0713) Prec@1 37.500 (46.812) Prec@5 75.000 (77.357) Epoch: [40][7520/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 2.2425 (2.0714) Prec@1 48.750 (46.811) Prec@5 73.750 (77.354) Epoch: [40][7530/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0855 (2.0714) Prec@1 47.500 (46.810) Prec@5 79.375 (77.355) Epoch: [40][7540/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 1.9863 (2.0715) Prec@1 45.000 (46.811) Prec@5 78.125 (77.353) Epoch: [40][7550/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 2.0052 (2.0714) Prec@1 46.250 (46.812) Prec@5 83.750 (77.356) Epoch: [40][7560/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 1.8623 (2.0715) Prec@1 50.000 (46.812) Prec@5 80.000 (77.354) Epoch: [40][7570/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.0226 (2.0715) Prec@1 48.125 (46.812) Prec@5 80.000 (77.354) Epoch: [40][7580/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.1283 (2.0715) Prec@1 43.125 (46.812) Prec@5 73.125 (77.352) Epoch: [40][7590/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 2.0850 (2.0716) Prec@1 48.125 (46.811) Prec@5 75.625 (77.349) Epoch: [40][7600/11272] Time 0.765 (0.792) Data 0.001 (0.002) Loss 2.0158 (2.0717) Prec@1 47.500 (46.809) Prec@5 81.875 (77.348) Epoch: [40][7610/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 1.9893 (2.0718) Prec@1 44.375 (46.807) Prec@5 80.000 (77.347) Epoch: [40][7620/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 2.1000 (2.0718) Prec@1 47.500 (46.807) Prec@5 79.375 (77.348) Epoch: [40][7630/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.9016 (2.0718) Prec@1 50.625 (46.810) Prec@5 79.375 (77.348) Epoch: [40][7640/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.0347 (2.0718) Prec@1 51.875 (46.809) Prec@5 77.500 (77.347) Epoch: [40][7650/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 1.9315 (2.0717) Prec@1 53.125 (46.810) Prec@5 78.750 (77.347) Epoch: [40][7660/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.1609 (2.0717) Prec@1 41.875 (46.812) Prec@5 76.250 (77.348) Epoch: [40][7670/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.2120 (2.0718) Prec@1 44.375 (46.810) Prec@5 74.375 (77.345) Epoch: [40][7680/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 2.1354 (2.0718) Prec@1 49.375 (46.810) Prec@5 73.125 (77.343) Epoch: [40][7690/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.2934 (2.0719) Prec@1 41.250 (46.810) Prec@5 72.500 (77.342) Epoch: [40][7700/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9670 (2.0719) Prec@1 48.125 (46.811) Prec@5 81.875 (77.343) Epoch: [40][7710/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 2.1595 (2.0718) Prec@1 48.750 (46.811) Prec@5 76.250 (77.344) Epoch: [40][7720/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0540 (2.0718) Prec@1 50.625 (46.814) Prec@5 77.500 (77.344) Epoch: [40][7730/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.3666 (2.0718) Prec@1 44.375 (46.814) Prec@5 74.375 (77.343) Epoch: [40][7740/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.9022 (2.0719) Prec@1 53.750 (46.815) Prec@5 76.875 (77.344) Epoch: [40][7750/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 2.2009 (2.0718) Prec@1 41.875 (46.818) Prec@5 75.625 (77.346) Epoch: [40][7760/11272] Time 0.834 (0.792) Data 0.002 (0.002) Loss 2.2656 (2.0719) Prec@1 41.875 (46.816) Prec@5 76.250 (77.345) Epoch: [40][7770/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9148 (2.0718) Prec@1 47.500 (46.818) Prec@5 81.250 (77.346) Epoch: [40][7780/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 1.8244 (2.0719) Prec@1 53.125 (46.819) Prec@5 81.875 (77.346) Epoch: [40][7790/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 1.9935 (2.0719) Prec@1 51.250 (46.819) Prec@5 78.125 (77.346) Epoch: [40][7800/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.1060 (2.0719) Prec@1 45.000 (46.819) Prec@5 77.500 (77.346) Epoch: [40][7810/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.2624 (2.0719) Prec@1 41.250 (46.818) Prec@5 75.000 (77.346) Epoch: [40][7820/11272] Time 0.756 (0.792) Data 0.002 (0.002) Loss 2.2236 (2.0719) Prec@1 43.125 (46.820) Prec@5 73.125 (77.347) Epoch: [40][7830/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 2.3705 (2.0719) Prec@1 36.250 (46.820) Prec@5 70.625 (77.347) Epoch: [40][7840/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 1.9145 (2.0719) Prec@1 56.250 (46.820) Prec@5 80.000 (77.348) Epoch: [40][7850/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.0415 (2.0719) Prec@1 43.750 (46.822) Prec@5 76.250 (77.348) Epoch: [40][7860/11272] Time 0.712 (0.792) Data 0.001 (0.002) Loss 2.0354 (2.0719) Prec@1 50.625 (46.822) Prec@5 79.375 (77.347) Epoch: [40][7870/11272] Time 0.855 (0.792) Data 0.002 (0.002) Loss 2.2029 (2.0720) Prec@1 50.000 (46.821) Prec@5 73.750 (77.345) Epoch: [40][7880/11272] Time 0.816 (0.792) Data 0.001 (0.002) Loss 1.9593 (2.0721) Prec@1 48.750 (46.819) Prec@5 79.375 (77.342) Epoch: [40][7890/11272] Time 0.715 (0.792) Data 0.002 (0.002) Loss 2.0783 (2.0722) Prec@1 47.500 (46.819) Prec@5 75.625 (77.339) Epoch: [40][7900/11272] Time 0.850 (0.792) Data 0.002 (0.002) Loss 2.1124 (2.0723) Prec@1 47.500 (46.817) Prec@5 75.625 (77.338) Epoch: [40][7910/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 1.9978 (2.0723) Prec@1 51.250 (46.816) Prec@5 76.250 (77.337) Epoch: [40][7920/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 1.9973 (2.0723) Prec@1 45.000 (46.814) Prec@5 79.375 (77.337) Epoch: [40][7930/11272] Time 0.717 (0.792) Data 0.001 (0.002) Loss 1.9624 (2.0723) Prec@1 46.875 (46.814) Prec@5 78.750 (77.336) Epoch: [40][7940/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 1.8814 (2.0723) Prec@1 51.250 (46.813) Prec@5 83.125 (77.337) Epoch: [40][7950/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.9795 (2.0721) Prec@1 46.875 (46.817) Prec@5 79.375 (77.339) Epoch: [40][7960/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.2432 (2.0721) Prec@1 45.625 (46.817) Prec@5 76.250 (77.340) Epoch: [40][7970/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0425 (2.0721) Prec@1 46.250 (46.816) Prec@5 80.000 (77.341) Epoch: [40][7980/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 1.9890 (2.0720) Prec@1 46.875 (46.818) Prec@5 81.250 (77.344) Epoch: [40][7990/11272] Time 0.828 (0.792) Data 0.002 (0.002) Loss 1.9414 (2.0719) Prec@1 48.750 (46.819) Prec@5 81.875 (77.347) Epoch: [40][8000/11272] Time 0.742 (0.792) Data 0.002 (0.002) Loss 1.9462 (2.0720) Prec@1 47.500 (46.819) Prec@5 78.750 (77.345) Epoch: [40][8010/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 1.9096 (2.0720) Prec@1 51.250 (46.819) Prec@5 83.125 (77.347) Epoch: [40][8020/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 1.9025 (2.0721) Prec@1 48.750 (46.819) Prec@5 80.000 (77.344) Epoch: [40][8030/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.9256 (2.0721) Prec@1 51.875 (46.820) Prec@5 76.250 (77.343) Epoch: [40][8040/11272] Time 0.720 (0.792) Data 0.001 (0.002) Loss 2.1162 (2.0722) Prec@1 47.500 (46.819) Prec@5 76.250 (77.344) Epoch: [40][8050/11272] Time 0.837 (0.792) Data 0.002 (0.002) Loss 1.9416 (2.0721) Prec@1 48.750 (46.824) Prec@5 80.625 (77.344) Epoch: [40][8060/11272] Time 0.849 (0.792) Data 0.002 (0.002) Loss 2.0381 (2.0721) Prec@1 48.125 (46.824) Prec@5 79.375 (77.344) Epoch: [40][8070/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 2.1292 (2.0722) Prec@1 44.375 (46.823) Prec@5 79.375 (77.342) Epoch: [40][8080/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 2.2832 (2.0722) Prec@1 38.125 (46.822) Prec@5 79.375 (77.344) Epoch: [40][8090/11272] Time 0.840 (0.792) Data 0.002 (0.002) Loss 2.0882 (2.0721) Prec@1 45.000 (46.825) Prec@5 78.125 (77.346) Epoch: [40][8100/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.3624 (2.0721) Prec@1 41.250 (46.825) Prec@5 73.125 (77.347) Epoch: [40][8110/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.2989 (2.0721) Prec@1 38.750 (46.823) Prec@5 74.375 (77.345) Epoch: [40][8120/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 2.2234 (2.0721) Prec@1 44.375 (46.823) Prec@5 76.250 (77.345) Epoch: [40][8130/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.1019 (2.0721) Prec@1 41.875 (46.822) Prec@5 80.000 (77.347) Epoch: [40][8140/11272] Time 0.858 (0.792) Data 0.002 (0.002) Loss 1.9527 (2.0721) Prec@1 48.750 (46.822) Prec@5 82.500 (77.346) Epoch: [40][8150/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 2.0016 (2.0722) Prec@1 46.875 (46.822) Prec@5 80.000 (77.347) Epoch: [40][8160/11272] Time 0.880 (0.792) Data 0.001 (0.002) Loss 2.2081 (2.0722) Prec@1 41.875 (46.819) Prec@5 81.250 (77.348) Epoch: [40][8170/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 1.9973 (2.0723) Prec@1 48.750 (46.817) Prec@5 80.000 (77.345) Epoch: [40][8180/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 2.0096 (2.0722) Prec@1 46.250 (46.819) Prec@5 78.125 (77.346) Epoch: [40][8190/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1389 (2.0723) Prec@1 46.250 (46.818) Prec@5 76.250 (77.346) Epoch: [40][8200/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.1292 (2.0723) Prec@1 45.000 (46.817) Prec@5 73.125 (77.345) Epoch: [40][8210/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.1219 (2.0723) Prec@1 43.125 (46.817) Prec@5 76.250 (77.345) Epoch: [40][8220/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.8838 (2.0723) Prec@1 52.500 (46.817) Prec@5 79.375 (77.345) Epoch: [40][8230/11272] Time 0.764 (0.792) Data 0.002 (0.002) Loss 1.9427 (2.0724) Prec@1 51.875 (46.817) Prec@5 78.125 (77.341) Epoch: [40][8240/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 1.7491 (2.0723) Prec@1 52.500 (46.819) Prec@5 85.000 (77.343) Epoch: [40][8250/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.1086 (2.0724) Prec@1 46.875 (46.817) Prec@5 80.000 (77.342) Epoch: [40][8260/11272] Time 0.765 (0.792) Data 0.002 (0.002) Loss 2.0872 (2.0724) Prec@1 48.125 (46.819) Prec@5 75.000 (77.341) Epoch: [40][8270/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 1.8415 (2.0723) Prec@1 48.125 (46.818) Prec@5 82.500 (77.342) Epoch: [40][8280/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 1.9566 (2.0723) Prec@1 51.250 (46.819) Prec@5 80.000 (77.343) Epoch: [40][8290/11272] Time 0.739 (0.792) Data 0.003 (0.002) Loss 2.0357 (2.0723) Prec@1 48.125 (46.817) Prec@5 71.875 (77.341) Epoch: [40][8300/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.9111 (2.0723) Prec@1 50.625 (46.817) Prec@5 80.625 (77.342) Epoch: [40][8310/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 2.3007 (2.0724) Prec@1 45.000 (46.816) Prec@5 75.625 (77.341) Epoch: [40][8320/11272] Time 0.810 (0.792) Data 0.001 (0.002) Loss 2.2693 (2.0724) Prec@1 42.500 (46.816) Prec@5 75.000 (77.341) Epoch: [40][8330/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.2125 (2.0724) Prec@1 44.375 (46.817) Prec@5 71.875 (77.342) Epoch: [40][8340/11272] Time 0.717 (0.792) Data 0.001 (0.002) Loss 1.9504 (2.0724) Prec@1 50.000 (46.818) Prec@5 76.875 (77.341) Epoch: [40][8350/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.3568 (2.0724) Prec@1 37.500 (46.818) Prec@5 72.500 (77.341) Epoch: [40][8360/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.2144 (2.0724) Prec@1 41.875 (46.817) Prec@5 73.750 (77.340) Epoch: [40][8370/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.1126 (2.0724) Prec@1 48.125 (46.818) Prec@5 75.625 (77.340) Epoch: [40][8380/11272] Time 0.746 (0.792) Data 0.002 (0.002) Loss 2.1238 (2.0725) Prec@1 48.125 (46.817) Prec@5 74.375 (77.338) Epoch: [40][8390/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.3173 (2.0725) Prec@1 43.125 (46.814) Prec@5 72.500 (77.336) Epoch: [40][8400/11272] Time 0.854 (0.792) Data 0.002 (0.002) Loss 1.9948 (2.0726) Prec@1 46.875 (46.815) Prec@5 76.250 (77.334) Epoch: [40][8410/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.0255 (2.0726) Prec@1 52.500 (46.813) Prec@5 79.375 (77.333) Epoch: [40][8420/11272] Time 0.891 (0.792) Data 0.001 (0.002) Loss 2.1286 (2.0727) Prec@1 46.875 (46.812) Prec@5 76.250 (77.330) Epoch: [40][8430/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.0834 (2.0727) Prec@1 45.625 (46.811) Prec@5 75.000 (77.331) Epoch: [40][8440/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.0226 (2.0727) Prec@1 52.500 (46.814) Prec@5 75.625 (77.333) Epoch: [40][8450/11272] Time 0.796 (0.792) Data 0.002 (0.002) Loss 2.4462 (2.0727) Prec@1 35.625 (46.811) Prec@5 68.750 (77.331) Epoch: [40][8460/11272] Time 0.858 (0.792) Data 0.002 (0.002) Loss 2.2662 (2.0727) Prec@1 44.375 (46.813) Prec@5 72.500 (77.331) Epoch: [40][8470/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.1469 (2.0726) Prec@1 45.625 (46.816) Prec@5 77.500 (77.333) Epoch: [40][8480/11272] Time 0.757 (0.792) Data 0.001 (0.002) Loss 2.1226 (2.0727) Prec@1 36.875 (46.814) Prec@5 76.250 (77.334) Epoch: [40][8490/11272] Time 0.738 (0.792) Data 0.002 (0.002) Loss 2.0022 (2.0727) Prec@1 44.375 (46.814) Prec@5 81.875 (77.332) Epoch: [40][8500/11272] Time 0.860 (0.792) Data 0.002 (0.002) Loss 1.9410 (2.0727) Prec@1 50.000 (46.814) Prec@5 78.125 (77.331) Epoch: [40][8510/11272] Time 0.883 (0.792) Data 0.003 (0.002) Loss 2.2337 (2.0727) Prec@1 41.250 (46.813) Prec@5 76.250 (77.332) Epoch: [40][8520/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 2.0560 (2.0727) Prec@1 53.125 (46.816) Prec@5 76.875 (77.332) Epoch: [40][8530/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0805 (2.0728) Prec@1 44.375 (46.816) Prec@5 75.625 (77.331) Epoch: [40][8540/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0768 (2.0728) Prec@1 45.000 (46.816) Prec@5 76.250 (77.332) Epoch: [40][8550/11272] Time 0.785 (0.792) Data 0.003 (0.002) Loss 1.9960 (2.0729) Prec@1 48.750 (46.813) Prec@5 78.750 (77.329) Epoch: [40][8560/11272] Time 0.728 (0.792) Data 0.002 (0.002) Loss 2.1491 (2.0730) Prec@1 46.875 (46.812) Prec@5 72.500 (77.328) Epoch: [40][8570/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.0470 (2.0730) Prec@1 44.375 (46.811) Prec@5 75.000 (77.328) Epoch: [40][8580/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 1.9403 (2.0730) Prec@1 50.625 (46.811) Prec@5 81.250 (77.328) Epoch: [40][8590/11272] Time 0.727 (0.792) Data 0.002 (0.002) Loss 1.9192 (2.0729) Prec@1 49.375 (46.812) Prec@5 80.000 (77.328) Epoch: [40][8600/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.9563 (2.0730) Prec@1 48.750 (46.811) Prec@5 81.250 (77.328) Epoch: [40][8610/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0041 (2.0731) Prec@1 51.875 (46.811) Prec@5 77.500 (77.325) Epoch: [40][8620/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.1610 (2.0731) Prec@1 45.625 (46.811) Prec@5 75.000 (77.325) Epoch: [40][8630/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.0807 (2.0731) Prec@1 43.750 (46.810) Prec@5 77.500 (77.325) Epoch: [40][8640/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.2505 (2.0731) Prec@1 44.375 (46.811) Prec@5 76.875 (77.327) Epoch: [40][8650/11272] Time 0.870 (0.792) Data 0.002 (0.002) Loss 2.1666 (2.0731) Prec@1 48.750 (46.811) Prec@5 76.250 (77.327) Epoch: [40][8660/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.3760 (2.0732) Prec@1 44.375 (46.809) Prec@5 73.750 (77.326) Epoch: [40][8670/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.1249 (2.0732) Prec@1 47.500 (46.806) Prec@5 75.625 (77.326) Epoch: [40][8680/11272] Time 0.850 (0.792) Data 0.002 (0.002) Loss 2.2259 (2.0733) Prec@1 41.875 (46.805) Prec@5 78.750 (77.324) Epoch: [40][8690/11272] Time 0.860 (0.792) Data 0.001 (0.002) Loss 2.2883 (2.0733) Prec@1 41.250 (46.805) Prec@5 74.375 (77.324) Epoch: [40][8700/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.0134 (2.0732) Prec@1 50.625 (46.808) Prec@5 81.250 (77.326) Epoch: [40][8710/11272] Time 0.700 (0.792) Data 0.001 (0.002) Loss 1.9459 (2.0732) Prec@1 50.625 (46.811) Prec@5 79.375 (77.326) Epoch: [40][8720/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 1.9406 (2.0731) Prec@1 53.750 (46.812) Prec@5 80.625 (77.326) Epoch: [40][8730/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0960 (2.0731) Prec@1 46.875 (46.812) Prec@5 79.375 (77.327) Epoch: [40][8740/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 2.1660 (2.0732) Prec@1 42.500 (46.810) Prec@5 75.000 (77.326) Epoch: [40][8750/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9208 (2.0732) Prec@1 51.875 (46.810) Prec@5 80.625 (77.326) Epoch: [40][8760/11272] Time 0.866 (0.792) Data 0.001 (0.002) Loss 2.0643 (2.0732) Prec@1 44.375 (46.809) Prec@5 78.125 (77.325) Epoch: [40][8770/11272] Time 0.818 (0.792) Data 0.002 (0.002) Loss 1.9129 (2.0732) Prec@1 53.125 (46.810) Prec@5 80.625 (77.324) Epoch: [40][8780/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.0739 (2.0732) Prec@1 50.000 (46.810) Prec@5 75.000 (77.324) Epoch: [40][8790/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0082 (2.0732) Prec@1 46.875 (46.811) Prec@5 79.375 (77.325) Epoch: [40][8800/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.1901 (2.0733) Prec@1 46.250 (46.810) Prec@5 74.375 (77.324) Epoch: [40][8810/11272] Time 0.853 (0.792) Data 0.002 (0.002) Loss 1.8649 (2.0732) Prec@1 50.625 (46.811) Prec@5 79.375 (77.325) Epoch: [40][8820/11272] Time 0.768 (0.792) Data 0.002 (0.002) Loss 2.3756 (2.0733) Prec@1 39.375 (46.811) Prec@5 72.500 (77.324) Epoch: [40][8830/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.0065 (2.0732) Prec@1 49.375 (46.812) Prec@5 76.250 (77.325) Epoch: [40][8840/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 2.0097 (2.0733) Prec@1 47.500 (46.810) Prec@5 80.000 (77.323) Epoch: [40][8850/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.3042 (2.0734) Prec@1 40.000 (46.810) Prec@5 69.375 (77.322) Epoch: [40][8860/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1298 (2.0734) Prec@1 48.125 (46.808) Prec@5 74.375 (77.320) Epoch: [40][8870/11272] Time 0.905 (0.792) Data 0.002 (0.002) Loss 2.1216 (2.0736) Prec@1 49.375 (46.807) Prec@5 75.625 (77.317) Epoch: [40][8880/11272] Time 0.910 (0.792) Data 0.001 (0.002) Loss 2.1083 (2.0736) Prec@1 45.000 (46.809) Prec@5 75.625 (77.316) Epoch: [40][8890/11272] Time 0.771 (0.792) Data 0.001 (0.002) Loss 1.8717 (2.0736) Prec@1 50.625 (46.809) Prec@5 82.500 (77.316) Epoch: [40][8900/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.1878 (2.0737) Prec@1 48.125 (46.807) Prec@5 73.750 (77.316) Epoch: [40][8910/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 2.1173 (2.0737) Prec@1 47.500 (46.808) Prec@5 72.500 (77.314) Epoch: [40][8920/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.0317 (2.0738) Prec@1 44.375 (46.806) Prec@5 77.500 (77.314) Epoch: [40][8930/11272] Time 0.699 (0.792) Data 0.002 (0.002) Loss 2.0420 (2.0737) Prec@1 48.750 (46.807) Prec@5 77.500 (77.316) Epoch: [40][8940/11272] Time 0.699 (0.792) Data 0.001 (0.002) Loss 2.1271 (2.0736) Prec@1 39.375 (46.808) Prec@5 80.000 (77.317) Epoch: [40][8950/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.0976 (2.0737) Prec@1 40.000 (46.806) Prec@5 80.000 (77.317) Epoch: [40][8960/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.4646 (2.0738) Prec@1 45.000 (46.806) Prec@5 66.250 (77.316) Epoch: [40][8970/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 1.9554 (2.0738) Prec@1 46.875 (46.807) Prec@5 78.125 (77.316) Epoch: [40][8980/11272] Time 0.836 (0.792) Data 0.002 (0.002) Loss 2.1452 (2.0738) Prec@1 42.500 (46.805) Prec@5 75.000 (77.316) Epoch: [40][8990/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.0562 (2.0738) Prec@1 45.625 (46.803) Prec@5 75.625 (77.317) Epoch: [40][9000/11272] Time 0.737 (0.792) Data 0.003 (0.002) Loss 2.2939 (2.0738) Prec@1 45.000 (46.802) Prec@5 73.750 (77.317) Epoch: [40][9010/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.2181 (2.0738) Prec@1 43.750 (46.800) Prec@5 76.250 (77.316) Epoch: [40][9020/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.0039 (2.0738) Prec@1 48.750 (46.799) Prec@5 76.875 (77.316) Epoch: [40][9030/11272] Time 0.829 (0.792) Data 0.002 (0.002) Loss 2.2041 (2.0739) Prec@1 38.750 (46.798) Prec@5 74.375 (77.315) Epoch: [40][9040/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.0590 (2.0739) Prec@1 53.125 (46.798) Prec@5 79.375 (77.313) Epoch: [40][9050/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 2.3728 (2.0740) Prec@1 35.000 (46.796) Prec@5 75.000 (77.313) Epoch: [40][9060/11272] Time 0.837 (0.792) Data 0.002 (0.002) Loss 2.0177 (2.0741) Prec@1 46.250 (46.794) Prec@5 80.000 (77.313) Epoch: [40][9070/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.1022 (2.0740) Prec@1 46.875 (46.795) Prec@5 75.000 (77.314) Epoch: [40][9080/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9837 (2.0741) Prec@1 46.250 (46.793) Prec@5 80.000 (77.313) Epoch: [40][9090/11272] Time 0.806 (0.792) Data 0.001 (0.002) Loss 2.1448 (2.0742) Prec@1 51.250 (46.792) Prec@5 73.125 (77.312) Epoch: [40][9100/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 1.9654 (2.0741) Prec@1 48.750 (46.791) Prec@5 79.375 (77.314) Epoch: [40][9110/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0667 (2.0742) Prec@1 47.500 (46.790) Prec@5 76.250 (77.312) Epoch: [40][9120/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.2073 (2.0742) Prec@1 46.250 (46.790) Prec@5 75.000 (77.310) Epoch: [40][9130/11272] Time 0.921 (0.792) Data 0.002 (0.002) Loss 2.1180 (2.0742) Prec@1 46.875 (46.788) Prec@5 77.500 (77.310) Epoch: [40][9140/11272] Time 0.834 (0.792) Data 0.002 (0.002) Loss 2.0963 (2.0742) Prec@1 45.625 (46.787) Prec@5 75.000 (77.310) Epoch: [40][9150/11272] Time 0.722 (0.792) Data 0.002 (0.002) Loss 1.9810 (2.0743) Prec@1 46.875 (46.785) Prec@5 78.125 (77.309) Epoch: [40][9160/11272] Time 0.697 (0.792) Data 0.001 (0.002) Loss 2.1417 (2.0743) Prec@1 45.000 (46.786) Prec@5 76.875 (77.310) Epoch: [40][9170/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.2109 (2.0743) Prec@1 43.750 (46.786) Prec@5 75.000 (77.312) Epoch: [40][9180/11272] Time 0.814 (0.792) Data 0.001 (0.002) Loss 2.1295 (2.0743) Prec@1 45.625 (46.785) Prec@5 75.000 (77.312) Epoch: [40][9190/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.0687 (2.0742) Prec@1 52.500 (46.787) Prec@5 76.875 (77.312) Epoch: [40][9200/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.8937 (2.0742) Prec@1 49.375 (46.786) Prec@5 78.125 (77.312) Epoch: [40][9210/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1462 (2.0743) Prec@1 46.250 (46.785) Prec@5 74.375 (77.311) Epoch: [40][9220/11272] Time 0.750 (0.792) Data 0.003 (0.002) Loss 2.0861 (2.0743) Prec@1 47.500 (46.783) Prec@5 75.000 (77.311) Epoch: [40][9230/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.1068 (2.0743) Prec@1 45.625 (46.784) Prec@5 78.125 (77.312) Epoch: [40][9240/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 1.9981 (2.0743) Prec@1 53.125 (46.786) Prec@5 79.375 (77.312) Epoch: [40][9250/11272] Time 0.853 (0.792) Data 0.002 (0.002) Loss 1.9922 (2.0744) Prec@1 46.875 (46.786) Prec@5 79.375 (77.311) Epoch: [40][9260/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 1.8774 (2.0744) Prec@1 52.500 (46.785) Prec@5 81.250 (77.310) Epoch: [40][9270/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 1.8704 (2.0744) Prec@1 46.875 (46.784) Prec@5 80.625 (77.310) Epoch: [40][9280/11272] Time 0.816 (0.792) Data 0.001 (0.002) Loss 2.0205 (2.0745) Prec@1 46.875 (46.782) Prec@5 80.000 (77.310) Epoch: [40][9290/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.3399 (2.0745) Prec@1 37.500 (46.782) Prec@5 70.625 (77.309) Epoch: [40][9300/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1410 (2.0745) Prec@1 51.250 (46.781) Prec@5 75.000 (77.309) Epoch: [40][9310/11272] Time 0.759 (0.792) Data 0.002 (0.002) Loss 2.3278 (2.0746) Prec@1 41.250 (46.780) Prec@5 71.250 (77.310) Epoch: [40][9320/11272] Time 0.879 (0.792) Data 0.002 (0.002) Loss 1.9182 (2.0746) Prec@1 46.250 (46.781) Prec@5 80.625 (77.309) Epoch: [40][9330/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.3446 (2.0746) Prec@1 38.125 (46.779) Prec@5 72.500 (77.309) Epoch: [40][9340/11272] Time 0.750 (0.792) Data 0.002 (0.002) Loss 2.1437 (2.0746) Prec@1 46.875 (46.779) Prec@5 78.125 (77.308) Epoch: [40][9350/11272] Time 0.835 (0.792) Data 0.002 (0.002) Loss 2.3061 (2.0747) Prec@1 47.500 (46.778) Prec@5 71.875 (77.306) Epoch: [40][9360/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1356 (2.0747) Prec@1 44.375 (46.777) Prec@5 78.125 (77.306) Epoch: [40][9370/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.0553 (2.0747) Prec@1 43.750 (46.778) Prec@5 79.375 (77.307) Epoch: [40][9380/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1328 (2.0747) Prec@1 42.500 (46.778) Prec@5 80.000 (77.307) Epoch: [40][9390/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2445 (2.0747) Prec@1 46.875 (46.778) Prec@5 75.000 (77.306) Epoch: [40][9400/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 2.0699 (2.0748) Prec@1 49.375 (46.777) Prec@5 77.500 (77.306) Epoch: [40][9410/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.0015 (2.0748) Prec@1 43.125 (46.775) Prec@5 76.875 (77.305) Epoch: [40][9420/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 1.9759 (2.0747) Prec@1 46.875 (46.777) Prec@5 81.875 (77.307) Epoch: [40][9430/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 2.1498 (2.0748) Prec@1 46.250 (46.777) Prec@5 74.375 (77.306) Epoch: [40][9440/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.8277 (2.0748) Prec@1 47.500 (46.777) Prec@5 81.250 (77.305) Epoch: [40][9450/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.2150 (2.0748) Prec@1 41.250 (46.776) Prec@5 75.625 (77.305) Epoch: [40][9460/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.0728 (2.0748) Prec@1 50.000 (46.775) Prec@5 76.250 (77.306) Epoch: [40][9470/11272] Time 0.840 (0.792) Data 0.002 (0.002) Loss 1.9888 (2.0750) Prec@1 50.625 (46.772) Prec@5 76.250 (77.302) Epoch: [40][9480/11272] Time 0.731 (0.792) Data 0.003 (0.002) Loss 2.0198 (2.0750) Prec@1 45.000 (46.771) Prec@5 77.500 (77.302) Epoch: [40][9490/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.2202 (2.0750) Prec@1 48.750 (46.772) Prec@5 75.625 (77.301) Epoch: [40][9500/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.1200 (2.0750) Prec@1 47.500 (46.770) Prec@5 75.625 (77.301) Epoch: [40][9510/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.2748 (2.0751) Prec@1 46.250 (46.770) Prec@5 73.750 (77.301) Epoch: [40][9520/11272] Time 0.821 (0.792) Data 0.003 (0.002) Loss 2.1094 (2.0751) Prec@1 45.000 (46.770) Prec@5 77.500 (77.300) Epoch: [40][9530/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1248 (2.0752) Prec@1 41.250 (46.769) Prec@5 76.875 (77.300) Epoch: [40][9540/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.2121 (2.0752) Prec@1 43.125 (46.768) Prec@5 76.250 (77.299) Epoch: [40][9550/11272] Time 0.813 (0.792) Data 0.002 (0.002) Loss 2.2695 (2.0753) Prec@1 35.625 (46.765) Prec@5 74.375 (77.298) Epoch: [40][9560/11272] Time 0.710 (0.792) Data 0.002 (0.002) Loss 2.1050 (2.0753) Prec@1 49.375 (46.764) Prec@5 71.250 (77.296) Epoch: [40][9570/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 1.9795 (2.0753) Prec@1 48.125 (46.765) Prec@5 80.000 (77.295) Epoch: [40][9580/11272] Time 0.869 (0.792) Data 0.002 (0.002) Loss 1.9064 (2.0753) Prec@1 52.500 (46.765) Prec@5 81.250 (77.295) Epoch: [40][9590/11272] Time 0.883 (0.792) Data 0.002 (0.002) Loss 1.8349 (2.0753) Prec@1 52.500 (46.767) Prec@5 78.125 (77.296) Epoch: [40][9600/11272] Time 0.709 (0.792) Data 0.002 (0.002) Loss 1.9741 (2.0753) Prec@1 48.750 (46.766) Prec@5 76.875 (77.295) Epoch: [40][9610/11272] Time 0.866 (0.792) Data 0.001 (0.002) Loss 2.0479 (2.0754) Prec@1 50.000 (46.766) Prec@5 81.875 (77.294) Epoch: [40][9620/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.2696 (2.0754) Prec@1 38.750 (46.767) Prec@5 76.250 (77.295) Epoch: [40][9630/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 2.0339 (2.0754) Prec@1 48.125 (46.764) Prec@5 76.875 (77.294) Epoch: [40][9640/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0671 (2.0755) Prec@1 45.000 (46.763) Prec@5 79.375 (77.293) Epoch: [40][9650/11272] Time 0.866 (0.792) Data 0.002 (0.002) Loss 1.9439 (2.0754) Prec@1 48.750 (46.765) Prec@5 80.625 (77.295) Epoch: [40][9660/11272] Time 0.831 (0.792) Data 0.002 (0.002) Loss 2.1710 (2.0755) Prec@1 45.000 (46.763) Prec@5 73.750 (77.294) Epoch: [40][9670/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.9729 (2.0756) Prec@1 43.125 (46.760) Prec@5 81.250 (77.292) Epoch: [40][9680/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 2.1572 (2.0757) Prec@1 44.375 (46.759) Prec@5 73.125 (77.291) Epoch: [40][9690/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.2487 (2.0757) Prec@1 40.000 (46.756) Prec@5 76.875 (77.290) Epoch: [40][9700/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 1.9785 (2.0757) Prec@1 48.750 (46.756) Prec@5 75.625 (77.291) Epoch: [40][9710/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 1.9392 (2.0757) Prec@1 46.875 (46.755) Prec@5 80.625 (77.291) Epoch: [40][9720/11272] Time 0.753 (0.792) Data 0.002 (0.002) Loss 1.9910 (2.0758) Prec@1 47.500 (46.753) Prec@5 80.000 (77.290) Epoch: [40][9730/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.1348 (2.0758) Prec@1 45.625 (46.751) Prec@5 76.875 (77.292) Epoch: [40][9740/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.8623 (2.0758) Prec@1 55.000 (46.752) Prec@5 80.000 (77.291) Epoch: [40][9750/11272] Time 0.748 (0.792) Data 0.001 (0.002) Loss 2.1019 (2.0759) Prec@1 48.750 (46.751) Prec@5 75.000 (77.290) Epoch: [40][9760/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 1.9104 (2.0758) Prec@1 48.125 (46.750) Prec@5 78.750 (77.291) Epoch: [40][9770/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.1983 (2.0759) Prec@1 44.375 (46.748) Prec@5 74.375 (77.291) Epoch: [40][9780/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.2751 (2.0759) Prec@1 45.625 (46.747) Prec@5 72.500 (77.290) Epoch: [40][9790/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 1.9488 (2.0759) Prec@1 50.000 (46.749) Prec@5 78.125 (77.292) Epoch: [40][9800/11272] Time 0.896 (0.792) Data 0.002 (0.002) Loss 2.0055 (2.0758) Prec@1 47.500 (46.750) Prec@5 78.125 (77.294) Epoch: [40][9810/11272] Time 0.903 (0.792) Data 0.001 (0.002) Loss 2.0834 (2.0757) Prec@1 46.875 (46.750) Prec@5 78.125 (77.295) Epoch: [40][9820/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 1.9732 (2.0757) Prec@1 48.125 (46.750) Prec@5 80.000 (77.296) Epoch: [40][9830/11272] Time 0.749 (0.792) Data 0.001 (0.002) Loss 1.9272 (2.0758) Prec@1 51.875 (46.749) Prec@5 80.625 (77.294) Epoch: [40][9840/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2031 (2.0758) Prec@1 41.250 (46.747) Prec@5 76.250 (77.292) Epoch: [40][9850/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.1489 (2.0758) Prec@1 41.875 (46.746) Prec@5 75.000 (77.291) Epoch: [40][9860/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 1.8718 (2.0757) Prec@1 49.375 (46.751) Prec@5 76.250 (77.293) Epoch: [40][9870/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.2012 (2.0757) Prec@1 48.125 (46.751) Prec@5 75.000 (77.292) Epoch: [40][9880/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.0409 (2.0757) Prec@1 51.875 (46.753) Prec@5 80.625 (77.294) Epoch: [40][9890/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.0542 (2.0757) Prec@1 48.125 (46.754) Prec@5 79.375 (77.295) Epoch: [40][9900/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.3930 (2.0757) Prec@1 42.500 (46.753) Prec@5 74.375 (77.295) Epoch: [40][9910/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.0690 (2.0757) Prec@1 46.250 (46.754) Prec@5 76.875 (77.295) Epoch: [40][9920/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.9096 (2.0757) Prec@1 51.875 (46.755) Prec@5 85.625 (77.296) Epoch: [40][9930/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0073 (2.0757) Prec@1 46.875 (46.756) Prec@5 75.000 (77.297) Epoch: [40][9940/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 2.0230 (2.0756) Prec@1 48.750 (46.758) Prec@5 75.000 (77.298) Epoch: [40][9950/11272] Time 0.860 (0.792) Data 0.001 (0.002) Loss 2.0225 (2.0757) Prec@1 48.750 (46.756) Prec@5 77.500 (77.298) Epoch: [40][9960/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.2781 (2.0758) Prec@1 44.375 (46.755) Prec@5 71.250 (77.297) Epoch: [40][9970/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0071 (2.0758) Prec@1 47.500 (46.753) Prec@5 78.125 (77.296) Epoch: [40][9980/11272] Time 0.762 (0.792) Data 0.002 (0.002) Loss 2.1106 (2.0757) Prec@1 43.125 (46.755) Prec@5 76.250 (77.298) Epoch: [40][9990/11272] Time 0.829 (0.792) Data 0.002 (0.002) Loss 2.4733 (2.0757) Prec@1 39.375 (46.756) Prec@5 70.625 (77.299) Epoch: [40][10000/11272] Time 0.847 (0.792) Data 0.003 (0.002) Loss 2.1539 (2.0756) Prec@1 42.500 (46.756) Prec@5 79.375 (77.300) Epoch: [40][10010/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.8380 (2.0756) Prec@1 54.375 (46.758) Prec@5 81.250 (77.301) Epoch: [40][10020/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.0935 (2.0757) Prec@1 51.250 (46.755) Prec@5 76.250 (77.300) Epoch: [40][10030/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 1.8107 (2.0757) Prec@1 50.000 (46.756) Prec@5 80.625 (77.300) Epoch: [40][10040/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.9258 (2.0757) Prec@1 53.750 (46.755) Prec@5 75.000 (77.299) Epoch: [40][10050/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 1.9706 (2.0757) Prec@1 46.250 (46.754) Prec@5 78.750 (77.299) Epoch: [40][10060/11272] Time 0.858 (0.792) Data 0.001 (0.002) Loss 1.9774 (2.0757) Prec@1 50.625 (46.753) Prec@5 80.000 (77.299) Epoch: [40][10070/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.0088 (2.0757) Prec@1 44.375 (46.755) Prec@5 78.750 (77.299) Epoch: [40][10080/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.1616 (2.0756) Prec@1 41.875 (46.754) Prec@5 77.500 (77.301) Epoch: [40][10090/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 1.9555 (2.0756) Prec@1 46.250 (46.754) Prec@5 81.250 (77.302) Epoch: [40][10100/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.2195 (2.0757) Prec@1 40.000 (46.753) Prec@5 73.125 (77.301) Epoch: [40][10110/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.0733 (2.0757) Prec@1 45.000 (46.753) Prec@5 73.750 (77.300) Epoch: [40][10120/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.1626 (2.0758) Prec@1 46.875 (46.752) Prec@5 78.125 (77.299) Epoch: [40][10130/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 1.8748 (2.0758) Prec@1 46.875 (46.751) Prec@5 78.125 (77.298) Epoch: [40][10140/11272] Time 0.790 (0.792) Data 0.001 (0.002) Loss 2.3560 (2.0759) Prec@1 43.750 (46.750) Prec@5 75.625 (77.298) Epoch: [40][10150/11272] Time 0.723 (0.792) Data 0.003 (0.002) Loss 1.9396 (2.0759) Prec@1 51.875 (46.750) Prec@5 80.625 (77.299) Epoch: [40][10160/11272] Time 0.760 (0.792) Data 0.001 (0.002) Loss 2.1263 (2.0759) Prec@1 43.125 (46.748) Prec@5 73.750 (77.297) Epoch: [40][10170/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2266 (2.0759) Prec@1 41.875 (46.748) Prec@5 75.000 (77.297) Epoch: [40][10180/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 2.1368 (2.0759) Prec@1 42.500 (46.747) Prec@5 77.500 (77.297) Epoch: [40][10190/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.2090 (2.0759) Prec@1 44.375 (46.748) Prec@5 74.375 (77.298) Epoch: [40][10200/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.0774 (2.0759) Prec@1 46.875 (46.748) Prec@5 78.750 (77.297) Epoch: [40][10210/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.0776 (2.0759) Prec@1 48.750 (46.748) Prec@5 78.125 (77.297) Epoch: [40][10220/11272] Time 0.880 (0.792) Data 0.001 (0.002) Loss 1.9361 (2.0758) Prec@1 51.250 (46.749) Prec@5 82.500 (77.299) Epoch: [40][10230/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 1.9743 (2.0759) Prec@1 44.375 (46.747) Prec@5 80.625 (77.297) Epoch: [40][10240/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.2013 (2.0759) Prec@1 43.750 (46.745) Prec@5 73.750 (77.297) Epoch: [40][10250/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2744 (2.0759) Prec@1 43.125 (46.743) Prec@5 74.375 (77.296) Epoch: [40][10260/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.1798 (2.0759) Prec@1 46.250 (46.743) Prec@5 77.500 (77.298) Epoch: [40][10270/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.0725 (2.0759) Prec@1 47.500 (46.744) Prec@5 76.875 (77.299) Epoch: [40][10280/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.1470 (2.0759) Prec@1 43.125 (46.744) Prec@5 78.125 (77.300) Epoch: [40][10290/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.1924 (2.0759) Prec@1 47.500 (46.743) Prec@5 76.250 (77.298) Epoch: [40][10300/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.9674 (2.0760) Prec@1 51.875 (46.742) Prec@5 78.125 (77.297) Epoch: [40][10310/11272] Time 0.763 (0.792) Data 0.002 (0.002) Loss 1.9440 (2.0759) Prec@1 50.625 (46.742) Prec@5 80.000 (77.299) Epoch: [40][10320/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 1.9715 (2.0760) Prec@1 46.250 (46.742) Prec@5 78.750 (77.299) Epoch: [40][10330/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 1.9781 (2.0759) Prec@1 47.500 (46.743) Prec@5 81.250 (77.300) Epoch: [40][10340/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 1.9849 (2.0759) Prec@1 43.750 (46.742) Prec@5 76.875 (77.298) Epoch: [40][10350/11272] Time 0.762 (0.792) Data 0.001 (0.002) Loss 2.1097 (2.0760) Prec@1 44.375 (46.741) Prec@5 78.125 (77.297) Epoch: [40][10360/11272] Time 0.842 (0.792) Data 0.002 (0.002) Loss 2.2021 (2.0759) Prec@1 45.625 (46.744) Prec@5 73.125 (77.298) Epoch: [40][10370/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 2.0530 (2.0759) Prec@1 47.500 (46.744) Prec@5 76.250 (77.299) Epoch: [40][10380/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 1.8741 (2.0759) Prec@1 50.625 (46.743) Prec@5 80.000 (77.300) Epoch: [40][10390/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0799 (2.0759) Prec@1 49.375 (46.743) Prec@5 75.625 (77.300) Epoch: [40][10400/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0262 (2.0759) Prec@1 45.625 (46.743) Prec@5 77.500 (77.300) Epoch: [40][10410/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 1.7711 (2.0758) Prec@1 52.500 (46.744) Prec@5 83.125 (77.301) Epoch: [40][10420/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.2680 (2.0758) Prec@1 46.250 (46.743) Prec@5 72.500 (77.302) Epoch: [40][10430/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0054 (2.0758) Prec@1 48.750 (46.743) Prec@5 73.750 (77.301) Epoch: [40][10440/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.3725 (2.0758) Prec@1 36.250 (46.743) Prec@5 71.250 (77.302) Epoch: [40][10450/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.1739 (2.0759) Prec@1 41.250 (46.742) Prec@5 76.250 (77.301) Epoch: [40][10460/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.0899 (2.0759) Prec@1 44.375 (46.741) Prec@5 80.000 (77.299) Epoch: [40][10470/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0770 (2.0759) Prec@1 46.875 (46.740) Prec@5 75.000 (77.299) Epoch: [40][10480/11272] Time 0.837 (0.792) Data 0.002 (0.002) Loss 2.1110 (2.0759) Prec@1 46.250 (46.738) Prec@5 74.375 (77.300) Epoch: [40][10490/11272] Time 0.752 (0.792) Data 0.002 (0.002) Loss 1.9676 (2.0760) Prec@1 45.000 (46.736) Prec@5 78.750 (77.299) Epoch: [40][10500/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0661 (2.0759) Prec@1 42.500 (46.735) Prec@5 76.250 (77.300) Epoch: [40][10510/11272] Time 0.880 (0.792) Data 0.002 (0.002) Loss 2.1598 (2.0759) Prec@1 48.125 (46.736) Prec@5 76.250 (77.300) Epoch: [40][10520/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 2.0176 (2.0759) Prec@1 46.875 (46.738) Prec@5 76.250 (77.301) Epoch: [40][10530/11272] Time 0.748 (0.792) Data 0.001 (0.002) Loss 2.1334 (2.0758) Prec@1 44.375 (46.739) Prec@5 75.000 (77.302) Epoch: [40][10540/11272] Time 0.874 (0.792) Data 0.001 (0.002) Loss 2.2181 (2.0758) Prec@1 45.000 (46.739) Prec@5 75.000 (77.303) Epoch: [40][10550/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.1837 (2.0758) Prec@1 45.000 (46.738) Prec@5 73.125 (77.302) Epoch: [40][10560/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 2.1538 (2.0758) Prec@1 45.625 (46.740) Prec@5 76.875 (77.303) Epoch: [40][10570/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 1.7882 (2.0758) Prec@1 48.750 (46.739) Prec@5 80.000 (77.303) Epoch: [40][10580/11272] Time 0.844 (0.792) Data 0.002 (0.002) Loss 1.9321 (2.0758) Prec@1 49.375 (46.738) Prec@5 80.000 (77.301) Epoch: [40][10590/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 1.8927 (2.0758) Prec@1 53.125 (46.737) Prec@5 80.625 (77.301) Epoch: [40][10600/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.0643 (2.0759) Prec@1 43.750 (46.737) Prec@5 77.500 (77.300) Epoch: [40][10610/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1713 (2.0759) Prec@1 48.750 (46.737) Prec@5 72.500 (77.301) Epoch: [40][10620/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0464 (2.0759) Prec@1 51.875 (46.739) Prec@5 77.500 (77.301) Epoch: [40][10630/11272] Time 0.877 (0.792) Data 0.002 (0.002) Loss 2.4552 (2.0759) Prec@1 35.000 (46.738) Prec@5 71.250 (77.301) Epoch: [40][10640/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9408 (2.0759) Prec@1 49.375 (46.737) Prec@5 80.625 (77.302) Epoch: [40][10650/11272] Time 0.754 (0.792) Data 0.002 (0.002) Loss 2.0504 (2.0759) Prec@1 45.000 (46.738) Prec@5 80.000 (77.302) Epoch: [40][10660/11272] Time 0.892 (0.792) Data 0.002 (0.002) Loss 2.1324 (2.0760) Prec@1 46.250 (46.738) Prec@5 73.750 (77.301) Epoch: [40][10670/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.2393 (2.0759) Prec@1 46.250 (46.739) Prec@5 76.250 (77.302) Epoch: [40][10680/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.0052 (2.0758) Prec@1 41.250 (46.742) Prec@5 83.125 (77.305) Epoch: [40][10690/11272] Time 0.908 (0.792) Data 0.001 (0.002) Loss 2.1921 (2.0758) Prec@1 48.125 (46.741) Prec@5 75.000 (77.305) Epoch: [40][10700/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.9725 (2.0759) Prec@1 52.500 (46.742) Prec@5 80.625 (77.304) Epoch: [40][10710/11272] Time 0.755 (0.792) Data 0.001 (0.002) Loss 2.3041 (2.0759) Prec@1 46.250 (46.743) Prec@5 71.875 (77.303) Epoch: [40][10720/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 1.9710 (2.0758) Prec@1 48.750 (46.744) Prec@5 79.375 (77.304) Epoch: [40][10730/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.3931 (2.0758) Prec@1 40.625 (46.745) Prec@5 71.875 (77.304) Epoch: [40][10740/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.2165 (2.0758) Prec@1 44.375 (46.744) Prec@5 73.125 (77.304) Epoch: [40][10750/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0638 (2.0758) Prec@1 48.750 (46.742) Prec@5 76.250 (77.303) Epoch: [40][10760/11272] Time 0.750 (0.792) Data 0.002 (0.002) Loss 2.1980 (2.0759) Prec@1 43.750 (46.740) Prec@5 78.750 (77.303) Epoch: [40][10770/11272] Time 0.844 (0.792) Data 0.002 (0.002) Loss 1.9661 (2.0759) Prec@1 49.375 (46.740) Prec@5 79.375 (77.304) Epoch: [40][10780/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 1.9683 (2.0759) Prec@1 53.125 (46.739) Prec@5 80.625 (77.303) Epoch: [40][10790/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.9406 (2.0759) Prec@1 53.750 (46.740) Prec@5 77.500 (77.303) Epoch: [40][10800/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 1.9641 (2.0759) Prec@1 48.750 (46.738) Prec@5 76.250 (77.302) Epoch: [40][10810/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.3035 (2.0759) Prec@1 44.375 (46.741) Prec@5 70.000 (77.302) Epoch: [40][10820/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.0294 (2.0759) Prec@1 45.625 (46.740) Prec@5 74.375 (77.302) Epoch: [40][10830/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.1662 (2.0759) Prec@1 47.500 (46.739) Prec@5 75.000 (77.301) Epoch: [40][10840/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1282 (2.0760) Prec@1 46.875 (46.738) Prec@5 75.625 (77.300) Epoch: [40][10850/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.2720 (2.0760) Prec@1 48.125 (46.737) Prec@5 73.750 (77.299) Epoch: [40][10860/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 2.1335 (2.0760) Prec@1 46.250 (46.737) Prec@5 75.625 (77.299) Epoch: [40][10870/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.1040 (2.0760) Prec@1 45.625 (46.735) Prec@5 75.625 (77.298) Epoch: [40][10880/11272] Time 0.904 (0.792) Data 0.002 (0.002) Loss 2.2578 (2.0760) Prec@1 43.750 (46.734) Prec@5 75.625 (77.298) Epoch: [40][10890/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.0704 (2.0760) Prec@1 50.000 (46.735) Prec@5 77.500 (77.298) Epoch: [40][10900/11272] Time 0.748 (0.792) Data 0.001 (0.002) Loss 2.2469 (2.0761) Prec@1 43.125 (46.733) Prec@5 71.875 (77.295) Epoch: [40][10910/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.2045 (2.0762) Prec@1 47.500 (46.732) Prec@5 80.000 (77.295) Epoch: [40][10920/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1773 (2.0762) Prec@1 42.500 (46.732) Prec@5 75.000 (77.294) Epoch: [40][10930/11272] Time 0.856 (0.792) Data 0.002 (0.002) Loss 2.2310 (2.0762) Prec@1 45.000 (46.732) Prec@5 74.375 (77.294) Epoch: [40][10940/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 2.0549 (2.0762) Prec@1 48.750 (46.732) Prec@5 76.875 (77.295) Epoch: [40][10950/11272] Time 0.881 (0.792) Data 0.002 (0.002) Loss 2.2746 (2.0762) Prec@1 42.500 (46.732) Prec@5 73.125 (77.294) Epoch: [40][10960/11272] Time 0.867 (0.792) Data 0.001 (0.002) Loss 2.1467 (2.0762) Prec@1 41.250 (46.731) Prec@5 76.250 (77.295) Epoch: [40][10970/11272] Time 0.725 (0.792) Data 0.002 (0.002) Loss 2.2535 (2.0763) Prec@1 41.250 (46.731) Prec@5 75.000 (77.295) Epoch: [40][10980/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.8690 (2.0762) Prec@1 47.500 (46.731) Prec@5 80.625 (77.296) Epoch: [40][10990/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.2800 (2.0762) Prec@1 45.000 (46.732) Prec@5 74.375 (77.296) Epoch: [40][11000/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 1.7092 (2.0762) Prec@1 55.625 (46.732) Prec@5 82.500 (77.296) Epoch: [40][11010/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 2.3748 (2.0763) Prec@1 42.500 (46.731) Prec@5 70.625 (77.296) Epoch: [40][11020/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.9802 (2.0763) Prec@1 43.750 (46.730) Prec@5 75.625 (77.297) Epoch: [40][11030/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 1.8558 (2.0763) Prec@1 52.500 (46.731) Prec@5 81.250 (77.295) Epoch: [40][11040/11272] Time 0.843 (0.792) Data 0.002 (0.002) Loss 2.1171 (2.0763) Prec@1 46.250 (46.730) Prec@5 77.500 (77.295) Epoch: [40][11050/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9711 (2.0763) Prec@1 47.500 (46.730) Prec@5 78.125 (77.294) Epoch: [40][11060/11272] Time 0.756 (0.792) Data 0.002 (0.002) Loss 2.3789 (2.0764) Prec@1 44.375 (46.729) Prec@5 73.125 (77.293) Epoch: [40][11070/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.1142 (2.0764) Prec@1 41.875 (46.727) Prec@5 75.625 (77.294) Epoch: [40][11080/11272] Time 0.739 (0.792) Data 0.003 (0.002) Loss 1.8530 (2.0764) Prec@1 51.875 (46.726) Prec@5 80.625 (77.295) Epoch: [40][11090/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 2.1316 (2.0764) Prec@1 43.750 (46.726) Prec@5 75.000 (77.294) Epoch: [40][11100/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0188 (2.0765) Prec@1 48.125 (46.724) Prec@5 79.375 (77.293) Epoch: [40][11110/11272] Time 0.834 (0.792) Data 0.002 (0.002) Loss 2.0372 (2.0765) Prec@1 46.250 (46.725) Prec@5 80.000 (77.291) Epoch: [40][11120/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 1.9433 (2.0766) Prec@1 50.625 (46.722) Prec@5 80.000 (77.291) Epoch: [40][11130/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0508 (2.0766) Prec@1 50.625 (46.722) Prec@5 76.875 (77.289) Epoch: [40][11140/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.1879 (2.0767) Prec@1 43.750 (46.721) Prec@5 76.875 (77.287) Epoch: [40][11150/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.8291 (2.0766) Prec@1 52.500 (46.722) Prec@5 80.625 (77.289) Epoch: [40][11160/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 1.9920 (2.0766) Prec@1 43.125 (46.723) Prec@5 80.625 (77.289) Epoch: [40][11170/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1560 (2.0766) Prec@1 41.875 (46.722) Prec@5 78.125 (77.289) Epoch: [40][11180/11272] Time 0.866 (0.792) Data 0.001 (0.002) Loss 2.1893 (2.0766) Prec@1 44.375 (46.721) Prec@5 75.000 (77.289) Epoch: [40][11190/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 1.8758 (2.0766) Prec@1 50.000 (46.723) Prec@5 79.375 (77.289) Epoch: [40][11200/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.8872 (2.0766) Prec@1 51.875 (46.723) Prec@5 82.500 (77.289) Epoch: [40][11210/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.8048 (2.0766) Prec@1 48.125 (46.723) Prec@5 84.375 (77.289) Epoch: [40][11220/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.3518 (2.0766) Prec@1 43.125 (46.723) Prec@5 68.750 (77.287) Epoch: [40][11230/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.1672 (2.0767) Prec@1 45.625 (46.723) Prec@5 70.625 (77.286) Epoch: [40][11240/11272] Time 0.758 (0.792) Data 0.003 (0.002) Loss 2.0142 (2.0767) Prec@1 45.000 (46.721) Prec@5 78.125 (77.286) Epoch: [40][11250/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 1.9231 (2.0767) Prec@1 49.375 (46.722) Prec@5 81.875 (77.285) Epoch: [40][11260/11272] Time 0.891 (0.792) Data 0.002 (0.002) Loss 2.0839 (2.0767) Prec@1 48.125 (46.722) Prec@5 78.750 (77.287) Epoch: [40][11270/11272] Time 0.728 (0.792) Data 0.000 (0.002) Loss 2.0672 (2.0767) Prec@1 46.250 (46.721) Prec@5 77.500 (77.286) Test: [0/229] Time 1.723 (1.723) Loss 1.1168 (1.1168) Prec@1 66.875 (66.875) Prec@5 93.750 (93.750) Test: [10/229] Time 0.481 (0.529) Loss 1.2497 (1.6405) Prec@1 56.875 (55.966) Prec@5 94.375 (86.761) Test: [20/229] Time 0.376 (0.460) Loss 1.6349 (1.6827) Prec@1 61.250 (54.494) Prec@5 85.625 (86.012) Test: [30/229] Time 0.442 (0.439) Loss 2.3984 (1.6458) Prec@1 35.625 (55.504) Prec@5 77.500 (86.149) Test: [40/229] Time 0.376 (0.424) Loss 0.4969 (1.6642) Prec@1 91.875 (54.954) Prec@5 93.125 (85.610) Test: [50/229] Time 0.310 (0.413) Loss 2.3423 (1.7187) Prec@1 32.500 (53.811) Prec@5 78.750 (84.265) Test: [60/229] Time 0.393 (0.408) Loss 2.2702 (1.7196) Prec@1 37.500 (53.740) Prec@5 81.875 (84.180) Test: [70/229] Time 0.315 (0.403) Loss 1.3323 (1.7440) Prec@1 68.750 (53.451) Prec@5 85.000 (83.741) Test: [80/229] Time 0.433 (0.400) Loss 2.2991 (1.7732) Prec@1 30.625 (52.438) Prec@5 80.000 (83.519) Test: [90/229] Time 0.345 (0.397) Loss 1.3948 (1.7759) Prec@1 66.875 (52.328) Prec@5 81.875 (83.551) Test: [100/229] Time 0.398 (0.394) Loss 1.9283 (1.7611) Prec@1 56.875 (53.020) Prec@5 85.000 (83.800) Test: [110/229] Time 0.443 (0.394) Loss 1.7296 (1.7582) Prec@1 54.375 (53.024) Prec@5 81.250 (83.829) Test: [120/229] Time 0.348 (0.392) Loss 2.9384 (1.7752) Prec@1 24.375 (52.531) Prec@5 70.000 (83.574) Test: [130/229] Time 0.407 (0.391) Loss 1.2088 (1.7534) Prec@1 63.125 (52.996) Prec@5 91.250 (83.917) Test: [140/229] Time 0.337 (0.390) Loss 2.1136 (1.7693) Prec@1 43.750 (52.651) Prec@5 80.625 (83.728) Test: [150/229] Time 0.369 (0.389) Loss 1.1605 (1.7816) Prec@1 75.000 (52.438) Prec@5 88.750 (83.589) Test: [160/229] Time 0.368 (0.388) Loss 2.0092 (1.7838) Prec@1 54.375 (52.380) Prec@5 83.750 (83.583) Test: [170/229] Time 0.304 (0.388) Loss 2.1186 (1.7981) Prec@1 43.750 (51.985) Prec@5 81.250 (83.399) Test: [180/229] Time 0.439 (0.389) Loss 2.2634 (1.8034) Prec@1 37.500 (51.948) Prec@5 71.250 (83.239) Test: [190/229] Time 0.344 (0.387) Loss 1.4504 (1.7952) Prec@1 57.500 (52.173) Prec@5 91.250 (83.334) Test: [200/229] Time 0.471 (0.388) Loss 1.7682 (1.7843) Prec@1 51.875 (52.320) Prec@5 80.000 (83.563) Test: [210/229] Time 0.335 (0.387) Loss 1.2196 (1.7766) Prec@1 62.500 (52.444) Prec@5 90.000 (83.726) Test: [220/229] Time 0.456 (0.387) Loss 1.6402 (1.7669) Prec@1 55.625 (52.808) Prec@5 86.875 (83.821) * Prec@1 53.148 Prec@5 83.921 Epoch: [41][0/11272] Time 3.188 (3.188) Data 2.243 (2.243) Loss 2.4780 (2.4780) Prec@1 38.750 (38.750) Prec@5 66.875 (66.875) Epoch: [41][10/11272] Time 0.740 (1.024) Data 0.002 (0.205) Loss 2.6609 (2.1475) Prec@1 39.375 (44.261) Prec@5 67.500 (75.511) Epoch: [41][20/11272] Time 0.835 (0.909) Data 0.001 (0.108) Loss 1.9863 (2.1364) Prec@1 50.000 (45.119) Prec@5 80.625 (75.893) Epoch: [41][30/11272] Time 0.813 (0.871) Data 0.001 (0.074) Loss 1.7876 (2.0985) Prec@1 53.750 (45.766) Prec@5 83.750 (76.734) Epoch: [41][40/11272] Time 0.740 (0.853) Data 0.001 (0.056) Loss 2.1554 (2.0909) Prec@1 41.250 (45.945) Prec@5 75.000 (76.829) Epoch: [41][50/11272] Time 0.735 (0.842) Data 0.002 (0.045) Loss 1.8105 (2.0696) Prec@1 46.250 (46.103) Prec@5 80.625 (77.267) Epoch: [41][60/11272] Time 0.944 (0.836) Data 0.002 (0.038) Loss 2.0614 (2.0742) Prec@1 48.750 (46.096) Prec@5 74.375 (77.172) Epoch: [41][70/11272] Time 0.822 (0.829) Data 0.001 (0.033) Loss 2.2586 (2.0830) Prec@1 42.500 (46.004) Prec@5 75.625 (77.086) Epoch: [41][80/11272] Time 0.730 (0.824) Data 0.002 (0.029) Loss 2.2242 (2.0876) Prec@1 42.500 (45.926) Prec@5 75.625 (77.099) Epoch: [41][90/11272] Time 0.738 (0.821) Data 0.001 (0.026) Loss 2.2090 (2.0860) Prec@1 47.500 (46.071) Prec@5 76.250 (77.170) Epoch: [41][100/11272] Time 0.831 (0.817) Data 0.001 (0.024) Loss 2.1625 (2.0830) Prec@1 48.125 (46.182) Prec@5 75.625 (77.135) Epoch: [41][110/11272] Time 0.836 (0.814) Data 0.001 (0.022) Loss 1.8975 (2.0728) Prec@1 50.625 (46.374) Prec@5 82.500 (77.393) Epoch: [41][120/11272] Time 0.730 (0.812) Data 0.002 (0.020) Loss 1.9571 (2.0653) Prec@1 47.500 (46.493) Prec@5 78.125 (77.500) Epoch: [41][130/11272] Time 0.839 (0.811) Data 0.001 (0.019) Loss 2.4048 (2.0660) Prec@1 41.250 (46.579) Prec@5 68.750 (77.524) Epoch: [41][140/11272] Time 0.817 (0.809) Data 0.001 (0.017) Loss 2.3446 (2.0708) Prec@1 38.750 (46.441) Prec@5 73.750 (77.451) Epoch: [41][150/11272] Time 0.732 (0.807) Data 0.002 (0.016) Loss 2.0915 (2.0745) Prec@1 43.750 (46.424) Prec@5 77.500 (77.314) Epoch: [41][160/11272] Time 0.718 (0.806) Data 0.001 (0.015) Loss 2.0012 (2.0718) Prec@1 48.125 (46.479) Prec@5 79.375 (77.356) Epoch: [41][170/11272] Time 0.880 (0.806) Data 0.002 (0.015) Loss 2.2830 (2.0744) Prec@1 38.750 (46.553) Prec@5 75.000 (77.303) Epoch: [41][180/11272] Time 0.844 (0.805) Data 0.001 (0.014) Loss 2.0358 (2.0734) Prec@1 54.375 (46.606) Prec@5 78.750 (77.352) Epoch: [41][190/11272] Time 0.722 (0.804) Data 0.001 (0.013) Loss 2.2592 (2.0705) Prec@1 45.625 (46.702) Prec@5 70.000 (77.405) Epoch: [41][200/11272] Time 0.774 (0.803) Data 0.002 (0.013) Loss 2.2975 (2.0689) Prec@1 43.125 (46.748) Prec@5 73.750 (77.453) Epoch: [41][210/11272] Time 0.867 (0.803) Data 0.002 (0.012) Loss 2.0187 (2.0688) Prec@1 46.875 (46.751) Prec@5 77.500 (77.423) Epoch: [41][220/11272] Time 0.842 (0.803) Data 0.001 (0.012) Loss 2.0340 (2.0692) Prec@1 50.000 (46.793) Prec@5 75.000 (77.393) Epoch: [41][230/11272] Time 0.735 (0.802) Data 0.001 (0.011) Loss 2.3441 (2.0692) Prec@1 43.125 (46.788) Prec@5 73.125 (77.400) Epoch: [41][240/11272] Time 0.742 (0.802) Data 0.001 (0.011) Loss 2.0495 (2.0671) Prec@1 46.250 (46.896) Prec@5 78.125 (77.438) Epoch: [41][250/11272] Time 0.826 (0.802) Data 0.002 (0.010) Loss 2.1585 (2.0648) Prec@1 47.500 (46.977) Prec@5 76.875 (77.443) Epoch: [41][260/11272] Time 0.824 (0.801) Data 0.001 (0.010) Loss 2.1234 (2.0644) Prec@1 44.375 (46.930) Prec@5 75.000 (77.464) Epoch: [41][270/11272] Time 0.735 (0.801) Data 0.001 (0.010) Loss 2.0532 (2.0647) Prec@1 45.625 (46.921) Prec@5 80.000 (77.449) Epoch: [41][280/11272] Time 0.862 (0.801) Data 0.001 (0.009) Loss 2.2601 (2.0646) Prec@1 42.500 (46.960) Prec@5 76.250 (77.480) Epoch: [41][290/11272] Time 0.834 (0.800) Data 0.001 (0.009) Loss 2.0247 (2.0654) Prec@1 41.875 (46.952) Prec@5 78.750 (77.451) Epoch: [41][300/11272] Time 0.739 (0.800) Data 0.001 (0.009) Loss 2.2091 (2.0644) Prec@1 51.250 (46.991) Prec@5 73.750 (77.463) Epoch: [41][310/11272] Time 0.733 (0.800) Data 0.001 (0.009) Loss 1.9681 (2.0634) Prec@1 48.750 (47.038) Prec@5 80.000 (77.474) Epoch: [41][320/11272] Time 0.822 (0.799) Data 0.001 (0.008) Loss 1.9395 (2.0589) Prec@1 55.625 (47.120) Prec@5 78.750 (77.527) Epoch: [41][330/11272] Time 0.818 (0.799) Data 0.001 (0.008) Loss 1.9494 (2.0590) Prec@1 48.750 (47.124) Prec@5 80.000 (77.538) Epoch: [41][340/11272] Time 0.765 (0.799) Data 0.001 (0.008) Loss 1.8457 (2.0563) Prec@1 50.625 (47.192) Prec@5 81.875 (77.571) Epoch: [41][350/11272] Time 0.740 (0.799) Data 0.002 (0.008) Loss 2.0965 (2.0555) Prec@1 51.875 (47.188) Prec@5 76.250 (77.573) Epoch: [41][360/11272] Time 0.856 (0.799) Data 0.002 (0.008) Loss 1.9845 (2.0547) Prec@1 49.375 (47.232) Prec@5 77.500 (77.583) Epoch: [41][370/11272] Time 0.830 (0.799) Data 0.002 (0.008) Loss 2.1881 (2.0573) Prec@1 43.125 (47.177) Prec@5 78.125 (77.564) Epoch: [41][380/11272] Time 0.747 (0.798) Data 0.001 (0.007) Loss 2.3001 (2.0566) Prec@1 42.500 (47.224) Prec@5 70.625 (77.551) Epoch: [41][390/11272] Time 0.749 (0.798) Data 0.002 (0.007) Loss 1.8499 (2.0559) Prec@1 51.250 (47.236) Prec@5 80.000 (77.585) Epoch: [41][400/11272] Time 0.833 (0.798) Data 0.001 (0.007) Loss 1.9085 (2.0552) Prec@1 49.375 (47.227) Prec@5 79.375 (77.597) Epoch: [41][410/11272] Time 0.740 (0.797) Data 0.001 (0.007) Loss 2.2115 (2.0541) Prec@1 43.750 (47.238) Prec@5 75.625 (77.620) Epoch: [41][420/11272] Time 0.733 (0.797) Data 0.001 (0.007) Loss 1.9917 (2.0538) Prec@1 50.625 (47.257) Prec@5 76.875 (77.589) Epoch: [41][430/11272] Time 0.874 (0.798) Data 0.002 (0.007) Loss 1.9904 (2.0535) Prec@1 47.500 (47.246) Prec@5 81.250 (77.613) Epoch: [41][440/11272] Time 0.835 (0.798) Data 0.001 (0.007) Loss 2.0448 (2.0534) Prec@1 48.125 (47.238) Prec@5 76.250 (77.623) Epoch: [41][450/11272] Time 0.734 (0.797) Data 0.002 (0.006) Loss 1.8995 (2.0518) Prec@1 45.625 (47.253) Prec@5 83.125 (77.665) Epoch: [41][460/11272] Time 0.735 (0.797) Data 0.001 (0.006) Loss 2.0483 (2.0530) Prec@1 44.375 (47.221) Prec@5 75.000 (77.657) Epoch: [41][470/11272] Time 0.876 (0.797) Data 0.002 (0.006) Loss 2.0002 (2.0533) Prec@1 46.875 (47.225) Prec@5 79.375 (77.653) Epoch: [41][480/11272] Time 0.863 (0.797) Data 0.002 (0.006) Loss 2.1006 (2.0541) Prec@1 45.000 (47.200) Prec@5 75.000 (77.626) Epoch: [41][490/11272] Time 0.742 (0.797) Data 0.001 (0.006) Loss 2.1996 (2.0551) Prec@1 41.875 (47.183) Prec@5 76.250 (77.609) Epoch: [41][500/11272] Time 0.730 (0.797) Data 0.001 (0.006) Loss 1.8901 (2.0545) Prec@1 53.125 (47.216) Prec@5 80.000 (77.619) Epoch: [41][510/11272] Time 0.876 (0.797) Data 0.002 (0.006) Loss 2.2761 (2.0561) Prec@1 44.375 (47.205) Prec@5 75.000 (77.578) Epoch: [41][520/11272] Time 0.852 (0.797) Data 0.001 (0.006) Loss 2.0772 (2.0560) Prec@1 45.625 (47.205) Prec@5 79.375 (77.577) Epoch: [41][530/11272] Time 0.738 (0.797) Data 0.001 (0.006) Loss 1.9091 (2.0550) Prec@1 48.750 (47.238) Prec@5 81.250 (77.586) Epoch: [41][540/11272] Time 0.892 (0.797) Data 0.001 (0.006) Loss 1.9052 (2.0530) Prec@1 49.375 (47.257) Prec@5 76.250 (77.602) Epoch: [41][550/11272] Time 0.821 (0.797) Data 0.001 (0.006) Loss 2.2633 (2.0521) Prec@1 44.375 (47.283) Prec@5 74.375 (77.623) Epoch: [41][560/11272] Time 0.738 (0.796) Data 0.001 (0.005) Loss 2.0745 (2.0526) Prec@1 50.625 (47.248) Prec@5 78.125 (77.613) Epoch: [41][570/11272] Time 0.745 (0.796) Data 0.001 (0.005) Loss 2.1800 (2.0541) Prec@1 43.125 (47.207) Prec@5 77.500 (77.583) Epoch: [41][580/11272] Time 0.852 (0.796) Data 0.002 (0.005) Loss 1.9748 (2.0543) Prec@1 52.500 (47.234) Prec@5 77.500 (77.574) Epoch: [41][590/11272] Time 0.863 (0.796) Data 0.002 (0.005) Loss 2.1745 (2.0552) Prec@1 43.125 (47.214) Prec@5 76.875 (77.571) Epoch: [41][600/11272] Time 0.754 (0.796) Data 0.001 (0.005) Loss 1.9153 (2.0558) Prec@1 51.875 (47.235) Prec@5 79.375 (77.545) Epoch: [41][610/11272] Time 0.731 (0.796) Data 0.002 (0.005) Loss 2.0908 (2.0555) Prec@1 49.375 (47.221) Prec@5 78.125 (77.553) Epoch: [41][620/11272] Time 0.863 (0.796) Data 0.002 (0.005) Loss 1.9599 (2.0548) Prec@1 51.250 (47.245) Prec@5 80.000 (77.583) Epoch: [41][630/11272] Time 0.876 (0.796) Data 0.002 (0.005) Loss 2.1349 (2.0545) Prec@1 47.500 (47.246) Prec@5 72.500 (77.569) Epoch: [41][640/11272] Time 0.734 (0.796) Data 0.002 (0.005) Loss 1.9192 (2.0551) Prec@1 51.875 (47.244) Prec@5 76.875 (77.554) Epoch: [41][650/11272] Time 0.721 (0.796) Data 0.001 (0.005) Loss 2.0017 (2.0553) Prec@1 48.125 (47.222) Prec@5 82.500 (77.571) Epoch: [41][660/11272] Time 0.858 (0.796) Data 0.001 (0.005) Loss 1.8248 (2.0551) Prec@1 54.375 (47.228) Prec@5 82.500 (77.576) Epoch: [41][670/11272] Time 0.712 (0.796) Data 0.002 (0.005) Loss 1.8614 (2.0551) Prec@1 53.125 (47.239) Prec@5 81.250 (77.572) Epoch: [41][680/11272] Time 0.738 (0.795) Data 0.001 (0.005) Loss 2.1775 (2.0553) Prec@1 45.000 (47.225) Prec@5 72.500 (77.562) Epoch: [41][690/11272] Time 0.836 (0.795) Data 0.001 (0.005) Loss 2.3595 (2.0555) Prec@1 38.125 (47.208) Prec@5 72.500 (77.563) Epoch: [41][700/11272] Time 0.837 (0.796) Data 0.002 (0.005) Loss 2.0982 (2.0563) Prec@1 44.375 (47.151) Prec@5 78.125 (77.554) Epoch: [41][710/11272] Time 0.731 (0.795) Data 0.002 (0.005) Loss 1.8787 (2.0556) Prec@1 46.875 (47.143) Prec@5 83.125 (77.574) Epoch: [41][720/11272] Time 0.718 (0.795) Data 0.001 (0.005) Loss 1.9074 (2.0551) Prec@1 50.625 (47.154) Prec@5 79.375 (77.578) Epoch: [41][730/11272] Time 0.851 (0.795) Data 0.001 (0.005) Loss 1.9982 (2.0568) Prec@1 47.500 (47.122) Prec@5 79.375 (77.560) Epoch: [41][740/11272] Time 0.852 (0.795) Data 0.001 (0.005) Loss 2.0847 (2.0564) Prec@1 49.375 (47.118) Prec@5 76.250 (77.574) Epoch: [41][750/11272] Time 0.769 (0.795) Data 0.002 (0.004) Loss 2.2853 (2.0568) Prec@1 42.500 (47.122) Prec@5 74.375 (77.570) Epoch: [41][760/11272] Time 0.753 (0.795) Data 0.001 (0.004) Loss 2.1583 (2.0567) Prec@1 46.875 (47.121) Prec@5 75.625 (77.582) Epoch: [41][770/11272] Time 0.868 (0.795) Data 0.001 (0.004) Loss 2.4020 (2.0577) Prec@1 39.375 (47.118) Prec@5 71.875 (77.562) Epoch: [41][780/11272] Time 0.894 (0.795) Data 0.002 (0.004) Loss 1.8011 (2.0563) Prec@1 56.250 (47.151) Prec@5 82.500 (77.590) Epoch: [41][790/11272] Time 0.762 (0.795) Data 0.002 (0.004) Loss 1.9824 (2.0552) Prec@1 43.750 (47.168) Prec@5 85.625 (77.615) Epoch: [41][800/11272] Time 0.869 (0.795) Data 0.001 (0.004) Loss 1.9832 (2.0550) Prec@1 48.750 (47.180) Prec@5 79.375 (77.628) Epoch: [41][810/11272] Time 0.840 (0.795) Data 0.002 (0.004) Loss 2.0886 (2.0549) Prec@1 45.000 (47.181) Prec@5 82.500 (77.638) Epoch: [41][820/11272] Time 0.732 (0.795) Data 0.001 (0.004) Loss 2.3039 (2.0535) Prec@1 44.375 (47.207) Prec@5 74.375 (77.654) Epoch: [41][830/11272] Time 0.733 (0.795) Data 0.002 (0.004) Loss 1.8545 (2.0535) Prec@1 51.875 (47.197) Prec@5 81.875 (77.646) Epoch: [41][840/11272] Time 0.795 (0.794) Data 0.001 (0.004) Loss 2.1609 (2.0545) Prec@1 45.625 (47.180) Prec@5 76.875 (77.623) Epoch: [41][850/11272] Time 0.838 (0.795) Data 0.002 (0.004) Loss 2.1380 (2.0550) Prec@1 41.875 (47.170) Prec@5 74.375 (77.604) Epoch: [41][860/11272] Time 0.751 (0.794) Data 0.001 (0.004) Loss 1.8393 (2.0553) Prec@1 50.000 (47.170) Prec@5 81.250 (77.613) Epoch: [41][870/11272] Time 0.731 (0.794) Data 0.002 (0.004) Loss 1.9734 (2.0551) Prec@1 50.000 (47.184) Prec@5 80.625 (77.615) Epoch: [41][880/11272] Time 0.872 (0.795) Data 0.002 (0.004) Loss 2.0925 (2.0553) Prec@1 48.750 (47.186) Prec@5 74.375 (77.622) Epoch: [41][890/11272] Time 0.823 (0.795) Data 0.001 (0.004) Loss 2.0262 (2.0546) Prec@1 50.000 (47.199) Prec@5 79.375 (77.641) Epoch: [41][900/11272] Time 0.709 (0.795) Data 0.001 (0.004) Loss 1.9102 (2.0548) Prec@1 47.500 (47.196) Prec@5 82.500 (77.646) Epoch: [41][910/11272] Time 0.732 (0.794) Data 0.001 (0.004) Loss 1.7960 (2.0546) Prec@1 53.750 (47.197) Prec@5 79.375 (77.636) Epoch: [41][920/11272] Time 0.844 (0.794) Data 0.002 (0.004) Loss 2.3579 (2.0547) Prec@1 41.250 (47.191) Prec@5 71.875 (77.640) Epoch: [41][930/11272] Time 0.766 (0.794) Data 0.004 (0.004) Loss 1.9834 (2.0545) Prec@1 48.750 (47.201) Prec@5 77.500 (77.643) Epoch: [41][940/11272] Time 0.729 (0.794) Data 0.001 (0.004) Loss 2.0342 (2.0544) Prec@1 48.750 (47.213) Prec@5 75.625 (77.645) Epoch: [41][950/11272] Time 0.876 (0.794) Data 0.002 (0.004) Loss 2.1031 (2.0539) Prec@1 41.875 (47.206) Prec@5 75.625 (77.657) Epoch: [41][960/11272] Time 0.849 (0.794) Data 0.001 (0.004) Loss 2.1245 (2.0528) Prec@1 45.625 (47.245) Prec@5 75.625 (77.673) Epoch: [41][970/11272] Time 0.744 (0.794) Data 0.002 (0.004) Loss 1.9438 (2.0530) Prec@1 47.500 (47.250) Prec@5 76.875 (77.665) Epoch: [41][980/11272] Time 0.733 (0.794) Data 0.001 (0.004) Loss 2.1376 (2.0534) Prec@1 43.125 (47.222) Prec@5 77.500 (77.664) Epoch: [41][990/11272] Time 0.857 (0.795) Data 0.001 (0.004) Loss 1.8061 (2.0524) Prec@1 54.375 (47.245) Prec@5 80.000 (77.686) Epoch: [41][1000/11272] Time 0.832 (0.795) Data 0.001 (0.004) Loss 2.1400 (2.0523) Prec@1 44.375 (47.252) Prec@5 75.000 (77.692) Epoch: [41][1010/11272] Time 0.728 (0.795) Data 0.001 (0.004) Loss 1.9711 (2.0516) Prec@1 44.375 (47.250) Prec@5 81.250 (77.701) Epoch: [41][1020/11272] Time 0.700 (0.794) Data 0.001 (0.004) Loss 1.9478 (2.0516) Prec@1 50.625 (47.247) Prec@5 80.625 (77.701) Epoch: [41][1030/11272] Time 0.850 (0.794) Data 0.001 (0.004) Loss 2.0541 (2.0517) Prec@1 48.125 (47.238) Prec@5 78.125 (77.702) Epoch: [41][1040/11272] Time 0.840 (0.794) Data 0.001 (0.004) Loss 2.0225 (2.0517) Prec@1 50.000 (47.233) Prec@5 77.500 (77.692) Epoch: [41][1050/11272] Time 0.742 (0.794) Data 0.002 (0.004) Loss 2.0807 (2.0520) Prec@1 45.625 (47.215) Prec@5 75.625 (77.683) Epoch: [41][1060/11272] Time 0.880 (0.794) Data 0.001 (0.004) Loss 1.8778 (2.0519) Prec@1 54.375 (47.209) Prec@5 80.625 (77.694) Epoch: [41][1070/11272] Time 0.885 (0.794) Data 0.002 (0.004) Loss 1.9195 (2.0523) Prec@1 48.750 (47.202) Prec@5 81.875 (77.688) Epoch: [41][1080/11272] Time 0.735 (0.794) Data 0.002 (0.004) Loss 2.0051 (2.0530) Prec@1 46.875 (47.190) Prec@5 80.625 (77.675) Epoch: [41][1090/11272] Time 0.746 (0.794) Data 0.001 (0.004) Loss 1.9790 (2.0529) Prec@1 50.000 (47.195) Prec@5 75.000 (77.676) Epoch: [41][1100/11272] Time 0.821 (0.795) Data 0.001 (0.004) Loss 2.0005 (2.0531) Prec@1 51.875 (47.183) Prec@5 76.875 (77.677) Epoch: [41][1110/11272] Time 0.852 (0.795) Data 0.001 (0.004) Loss 1.8618 (2.0529) Prec@1 49.375 (47.197) Prec@5 80.000 (77.676) Epoch: [41][1120/11272] Time 0.731 (0.794) Data 0.001 (0.003) Loss 2.1572 (2.0527) Prec@1 40.625 (47.203) Prec@5 75.625 (77.681) Epoch: [41][1130/11272] Time 0.737 (0.794) Data 0.001 (0.003) Loss 2.1324 (2.0528) Prec@1 46.875 (47.183) Prec@5 75.000 (77.690) Epoch: [41][1140/11272] Time 0.821 (0.794) Data 0.001 (0.003) Loss 1.8028 (2.0527) Prec@1 55.000 (47.184) Prec@5 76.875 (77.689) Epoch: [41][1150/11272] Time 0.839 (0.794) Data 0.001 (0.003) Loss 1.9094 (2.0527) Prec@1 50.625 (47.196) Prec@5 83.750 (77.687) Epoch: [41][1160/11272] Time 0.729 (0.794) Data 0.001 (0.003) Loss 2.3094 (2.0527) Prec@1 43.125 (47.196) Prec@5 73.125 (77.694) Epoch: [41][1170/11272] Time 0.728 (0.794) Data 0.001 (0.003) Loss 1.9902 (2.0527) Prec@1 50.000 (47.202) Prec@5 80.000 (77.692) Epoch: [41][1180/11272] Time 0.835 (0.794) Data 0.001 (0.003) Loss 1.9272 (2.0522) Prec@1 50.625 (47.215) Prec@5 80.625 (77.697) Epoch: [41][1190/11272] Time 0.852 (0.794) Data 0.001 (0.003) Loss 2.1032 (2.0515) Prec@1 45.625 (47.222) Prec@5 75.000 (77.711) Epoch: [41][1200/11272] Time 0.741 (0.794) Data 0.002 (0.003) Loss 2.0810 (2.0517) Prec@1 44.375 (47.218) Prec@5 78.750 (77.708) Epoch: [41][1210/11272] Time 0.870 (0.794) Data 0.001 (0.003) Loss 2.1138 (2.0517) Prec@1 48.750 (47.219) Prec@5 73.750 (77.712) Epoch: [41][1220/11272] Time 0.841 (0.794) Data 0.001 (0.003) Loss 2.2573 (2.0518) Prec@1 46.875 (47.223) Prec@5 72.500 (77.706) Epoch: [41][1230/11272] Time 0.728 (0.794) Data 0.001 (0.003) Loss 1.9738 (2.0523) Prec@1 50.625 (47.214) Prec@5 79.375 (77.694) Epoch: [41][1240/11272] Time 0.730 (0.794) Data 0.001 (0.003) Loss 1.8189 (2.0522) Prec@1 51.875 (47.212) Prec@5 85.625 (77.707) Epoch: [41][1250/11272] Time 0.879 (0.794) Data 0.002 (0.003) Loss 2.1446 (2.0529) Prec@1 45.625 (47.195) Prec@5 79.375 (77.697) Epoch: [41][1260/11272] Time 0.840 (0.794) Data 0.001 (0.003) Loss 2.1922 (2.0525) Prec@1 46.250 (47.205) Prec@5 71.250 (77.694) Epoch: [41][1270/11272] Time 0.731 (0.794) Data 0.002 (0.003) Loss 2.1530 (2.0526) Prec@1 49.375 (47.203) Prec@5 77.500 (77.699) Epoch: [41][1280/11272] Time 0.766 (0.794) Data 0.002 (0.003) Loss 1.8951 (2.0531) Prec@1 44.375 (47.186) Prec@5 81.250 (77.692) Epoch: [41][1290/11272] Time 0.888 (0.794) Data 0.002 (0.003) Loss 1.9835 (2.0527) Prec@1 50.625 (47.200) Prec@5 79.375 (77.699) Epoch: [41][1300/11272] Time 0.830 (0.794) Data 0.001 (0.003) Loss 1.9646 (2.0528) Prec@1 47.500 (47.185) Prec@5 80.625 (77.696) Epoch: [41][1310/11272] Time 0.745 (0.794) Data 0.001 (0.003) Loss 2.2098 (2.0531) Prec@1 46.250 (47.174) Prec@5 76.250 (77.690) Epoch: [41][1320/11272] Time 0.730 (0.794) Data 0.002 (0.003) Loss 2.0412 (2.0537) Prec@1 50.625 (47.172) Prec@5 74.375 (77.677) Epoch: [41][1330/11272] Time 0.849 (0.794) Data 0.001 (0.003) Loss 2.1823 (2.0537) Prec@1 47.500 (47.184) Prec@5 76.250 (77.662) Epoch: [41][1340/11272] Time 0.722 (0.794) Data 0.001 (0.003) Loss 1.7720 (2.0533) Prec@1 53.750 (47.201) Prec@5 81.250 (77.665) Epoch: [41][1350/11272] Time 0.743 (0.794) Data 0.001 (0.003) Loss 2.1522 (2.0539) Prec@1 44.375 (47.189) Prec@5 75.625 (77.655) Epoch: [41][1360/11272] Time 0.847 (0.794) Data 0.002 (0.003) Loss 1.8757 (2.0541) Prec@1 48.750 (47.191) Prec@5 83.125 (77.655) Epoch: [41][1370/11272] Time 0.871 (0.794) Data 0.002 (0.003) Loss 2.1382 (2.0544) Prec@1 47.500 (47.181) Prec@5 73.125 (77.645) Epoch: [41][1380/11272] Time 0.731 (0.794) Data 0.001 (0.003) Loss 2.0728 (2.0544) Prec@1 48.750 (47.195) Prec@5 75.000 (77.643) Epoch: [41][1390/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 2.0127 (2.0547) Prec@1 47.500 (47.179) Prec@5 79.375 (77.636) Epoch: [41][1400/11272] Time 0.849 (0.794) Data 0.001 (0.003) Loss 2.2320 (2.0549) Prec@1 46.875 (47.186) Prec@5 76.250 (77.633) Epoch: [41][1410/11272] Time 0.874 (0.794) Data 0.002 (0.003) Loss 2.2895 (2.0546) Prec@1 43.125 (47.186) Prec@5 70.000 (77.641) Epoch: [41][1420/11272] Time 0.722 (0.794) Data 0.002 (0.003) Loss 2.0292 (2.0543) Prec@1 45.000 (47.197) Prec@5 77.500 (77.652) Epoch: [41][1430/11272] Time 0.727 (0.794) Data 0.001 (0.003) Loss 1.8839 (2.0541) Prec@1 48.750 (47.198) Prec@5 85.000 (77.660) Epoch: [41][1440/11272] Time 0.843 (0.794) Data 0.001 (0.003) Loss 2.1027 (2.0539) Prec@1 46.875 (47.199) Prec@5 75.000 (77.667) Epoch: [41][1450/11272] Time 0.817 (0.794) Data 0.002 (0.003) Loss 1.8123 (2.0538) Prec@1 48.750 (47.191) Prec@5 81.875 (77.668) Epoch: [41][1460/11272] Time 0.743 (0.794) Data 0.002 (0.003) Loss 2.1473 (2.0537) Prec@1 45.625 (47.197) Prec@5 75.000 (77.665) Epoch: [41][1470/11272] Time 0.869 (0.794) Data 0.001 (0.003) Loss 2.0854 (2.0538) Prec@1 46.875 (47.197) Prec@5 78.750 (77.659) Epoch: [41][1480/11272] Time 0.830 (0.794) Data 0.001 (0.003) Loss 2.1851 (2.0539) Prec@1 46.875 (47.187) Prec@5 74.375 (77.657) Epoch: [41][1490/11272] Time 0.722 (0.794) Data 0.002 (0.003) Loss 1.8138 (2.0538) Prec@1 52.500 (47.183) Prec@5 80.625 (77.656) Epoch: [41][1500/11272] Time 0.714 (0.794) Data 0.001 (0.003) Loss 2.1847 (2.0540) Prec@1 42.500 (47.179) Prec@5 74.375 (77.651) Epoch: [41][1510/11272] Time 0.839 (0.794) Data 0.001 (0.003) Loss 2.2054 (2.0540) Prec@1 44.375 (47.178) Prec@5 76.250 (77.647) Epoch: [41][1520/11272] Time 0.848 (0.794) Data 0.001 (0.003) Loss 1.6337 (2.0538) Prec@1 57.500 (47.182) Prec@5 81.875 (77.653) Epoch: [41][1530/11272] Time 0.731 (0.794) Data 0.002 (0.003) Loss 2.0640 (2.0545) Prec@1 43.750 (47.165) Prec@5 77.500 (77.642) Epoch: [41][1540/11272] Time 0.702 (0.794) Data 0.001 (0.003) Loss 2.0436 (2.0546) Prec@1 50.625 (47.159) Prec@5 76.250 (77.636) Epoch: [41][1550/11272] Time 0.839 (0.794) Data 0.001 (0.003) Loss 2.0842 (2.0548) Prec@1 46.875 (47.149) Prec@5 76.875 (77.630) Epoch: [41][1560/11272] Time 0.861 (0.794) Data 0.001 (0.003) Loss 2.1065 (2.0544) Prec@1 44.375 (47.156) Prec@5 76.250 (77.636) Epoch: [41][1570/11272] Time 0.733 (0.794) Data 0.002 (0.003) Loss 1.9864 (2.0544) Prec@1 48.125 (47.152) Prec@5 75.000 (77.641) Epoch: [41][1580/11272] Time 0.736 (0.794) Data 0.002 (0.003) Loss 2.0379 (2.0547) Prec@1 51.875 (47.153) Prec@5 79.375 (77.638) Epoch: [41][1590/11272] Time 0.876 (0.794) Data 0.002 (0.003) Loss 1.9613 (2.0547) Prec@1 50.000 (47.147) Prec@5 76.250 (77.643) Epoch: [41][1600/11272] Time 0.731 (0.794) Data 0.003 (0.003) Loss 2.0378 (2.0547) Prec@1 46.875 (47.140) Prec@5 80.625 (77.646) Epoch: [41][1610/11272] Time 0.742 (0.794) Data 0.001 (0.003) Loss 2.2405 (2.0549) Prec@1 44.375 (47.144) Prec@5 72.500 (77.641) Epoch: [41][1620/11272] Time 0.884 (0.794) Data 0.001 (0.003) Loss 2.1029 (2.0552) Prec@1 46.250 (47.144) Prec@5 78.750 (77.633) Epoch: [41][1630/11272] Time 0.830 (0.794) Data 0.002 (0.003) Loss 2.1429 (2.0554) Prec@1 45.625 (47.140) Prec@5 75.000 (77.625) Epoch: [41][1640/11272] Time 0.729 (0.794) Data 0.002 (0.003) Loss 2.2272 (2.0557) Prec@1 41.250 (47.140) Prec@5 75.000 (77.622) Epoch: [41][1650/11272] Time 0.718 (0.794) Data 0.001 (0.003) Loss 2.0659 (2.0554) Prec@1 45.625 (47.156) Prec@5 73.750 (77.629) Epoch: [41][1660/11272] Time 0.853 (0.794) Data 0.001 (0.003) Loss 1.9363 (2.0552) Prec@1 48.750 (47.161) Prec@5 80.625 (77.631) Epoch: [41][1670/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 2.0654 (2.0553) Prec@1 46.250 (47.151) Prec@5 79.375 (77.636) Epoch: [41][1680/11272] Time 0.718 (0.794) Data 0.001 (0.003) Loss 2.1493 (2.0551) Prec@1 46.875 (47.159) Prec@5 76.250 (77.638) Epoch: [41][1690/11272] Time 0.735 (0.794) Data 0.001 (0.003) Loss 2.1238 (2.0557) Prec@1 45.000 (47.146) Prec@5 75.000 (77.623) Epoch: [41][1700/11272] Time 0.844 (0.794) Data 0.001 (0.003) Loss 1.9136 (2.0555) Prec@1 50.625 (47.154) Prec@5 84.375 (77.623) Epoch: [41][1710/11272] Time 0.849 (0.794) Data 0.001 (0.003) Loss 2.2270 (2.0555) Prec@1 42.500 (47.144) Prec@5 75.000 (77.622) Epoch: [41][1720/11272] Time 0.754 (0.794) Data 0.001 (0.003) Loss 1.9704 (2.0555) Prec@1 47.500 (47.150) Prec@5 79.375 (77.617) Epoch: [41][1730/11272] Time 0.897 (0.794) Data 0.001 (0.003) Loss 1.8207 (2.0551) Prec@1 54.375 (47.155) Prec@5 78.125 (77.618) Epoch: [41][1740/11272] Time 0.885 (0.794) Data 0.002 (0.003) Loss 2.0203 (2.0547) Prec@1 52.500 (47.161) Prec@5 79.375 (77.621) Epoch: [41][1750/11272] Time 0.729 (0.794) Data 0.001 (0.003) Loss 1.8700 (2.0548) Prec@1 52.500 (47.159) Prec@5 83.750 (77.625) Epoch: [41][1760/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 1.9806 (2.0546) Prec@1 50.625 (47.162) Prec@5 81.250 (77.631) Epoch: [41][1770/11272] Time 0.858 (0.794) Data 0.002 (0.003) Loss 2.0391 (2.0548) Prec@1 48.750 (47.157) Prec@5 80.000 (77.633) Epoch: [41][1780/11272] Time 0.848 (0.794) Data 0.001 (0.003) Loss 2.2530 (2.0555) Prec@1 41.250 (47.137) Prec@5 76.875 (77.618) Epoch: [41][1790/11272] Time 0.710 (0.794) Data 0.001 (0.003) Loss 2.2213 (2.0556) Prec@1 44.375 (47.134) Prec@5 71.875 (77.613) Epoch: [41][1800/11272] Time 0.745 (0.794) Data 0.002 (0.003) Loss 1.9108 (2.0552) Prec@1 48.125 (47.142) Prec@5 81.875 (77.625) Epoch: [41][1810/11272] Time 0.916 (0.794) Data 0.002 (0.003) Loss 1.9383 (2.0554) Prec@1 51.875 (47.133) Prec@5 81.875 (77.616) Epoch: [41][1820/11272] Time 0.820 (0.794) Data 0.001 (0.003) Loss 1.9945 (2.0556) Prec@1 48.125 (47.130) Prec@5 80.625 (77.613) Epoch: [41][1830/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 2.4748 (2.0562) Prec@1 36.875 (47.121) Prec@5 70.000 (77.604) Epoch: [41][1840/11272] Time 0.762 (0.794) Data 0.003 (0.003) Loss 2.0643 (2.0565) Prec@1 47.500 (47.115) Prec@5 77.500 (77.593) Epoch: [41][1850/11272] Time 0.854 (0.794) Data 0.001 (0.003) Loss 1.9141 (2.0569) Prec@1 46.875 (47.104) Prec@5 85.000 (77.588) Epoch: [41][1860/11272] Time 0.732 (0.794) Data 0.003 (0.003) Loss 2.2724 (2.0570) Prec@1 48.125 (47.102) Prec@5 73.750 (77.588) Epoch: [41][1870/11272] Time 0.736 (0.794) Data 0.001 (0.003) Loss 2.0440 (2.0572) Prec@1 45.625 (47.088) Prec@5 75.000 (77.584) Epoch: [41][1880/11272] Time 0.864 (0.794) Data 0.001 (0.003) Loss 2.0502 (2.0574) Prec@1 48.125 (47.092) Prec@5 78.125 (77.574) Epoch: [41][1890/11272] Time 0.850 (0.794) Data 0.001 (0.003) Loss 1.9314 (2.0574) Prec@1 47.500 (47.096) Prec@5 78.125 (77.573) Epoch: [41][1900/11272] Time 0.736 (0.794) Data 0.001 (0.003) Loss 2.0793 (2.0573) Prec@1 49.375 (47.096) Prec@5 80.000 (77.578) Epoch: [41][1910/11272] Time 0.735 (0.794) Data 0.001 (0.003) Loss 2.1214 (2.0576) Prec@1 50.000 (47.092) Prec@5 77.500 (77.572) Epoch: [41][1920/11272] Time 0.863 (0.794) Data 0.001 (0.003) Loss 1.7934 (2.0578) Prec@1 53.125 (47.085) Prec@5 81.250 (77.567) Epoch: [41][1930/11272] Time 0.848 (0.794) Data 0.002 (0.003) Loss 1.9964 (2.0580) Prec@1 48.750 (47.081) Prec@5 76.875 (77.556) Epoch: [41][1940/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 2.3414 (2.0582) Prec@1 42.500 (47.079) Prec@5 73.125 (77.553) Epoch: [41][1950/11272] Time 0.727 (0.794) Data 0.002 (0.003) Loss 2.3183 (2.0585) Prec@1 39.375 (47.070) Prec@5 74.375 (77.551) Epoch: [41][1960/11272] Time 0.847 (0.794) Data 0.001 (0.003) Loss 1.9888 (2.0585) Prec@1 49.375 (47.071) Prec@5 85.000 (77.555) Epoch: [41][1970/11272] Time 0.836 (0.794) Data 0.001 (0.003) Loss 1.9789 (2.0584) Prec@1 45.625 (47.079) Prec@5 81.250 (77.554) Epoch: [41][1980/11272] Time 0.729 (0.794) Data 0.001 (0.003) Loss 2.1242 (2.0582) Prec@1 45.000 (47.082) Prec@5 75.625 (77.557) Epoch: [41][1990/11272] Time 0.894 (0.794) Data 0.001 (0.003) Loss 1.8608 (2.0582) Prec@1 48.750 (47.078) Prec@5 83.125 (77.557) Epoch: [41][2000/11272] Time 0.832 (0.794) Data 0.001 (0.003) Loss 1.8369 (2.0582) Prec@1 49.375 (47.081) Prec@5 83.750 (77.555) Epoch: [41][2010/11272] Time 0.741 (0.794) Data 0.001 (0.003) Loss 1.9067 (2.0583) Prec@1 51.250 (47.083) Prec@5 80.625 (77.552) Epoch: [41][2020/11272] Time 0.734 (0.794) Data 0.002 (0.003) Loss 1.7982 (2.0586) Prec@1 53.125 (47.073) Prec@5 81.875 (77.547) Epoch: [41][2030/11272] Time 0.828 (0.794) Data 0.001 (0.003) Loss 2.1702 (2.0585) Prec@1 40.625 (47.072) Prec@5 76.250 (77.547) Epoch: [41][2040/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 2.1605 (2.0586) Prec@1 44.375 (47.072) Prec@5 78.750 (77.546) Epoch: [41][2050/11272] Time 0.733 (0.794) Data 0.002 (0.003) Loss 2.0125 (2.0582) Prec@1 48.750 (47.082) Prec@5 81.875 (77.554) Epoch: [41][2060/11272] Time 0.736 (0.794) Data 0.001 (0.003) Loss 2.3019 (2.0583) Prec@1 45.000 (47.076) Prec@5 73.750 (77.557) Epoch: [41][2070/11272] Time 0.849 (0.794) Data 0.002 (0.003) Loss 1.9646 (2.0583) Prec@1 49.375 (47.079) Prec@5 80.000 (77.555) Epoch: [41][2080/11272] Time 0.836 (0.794) Data 0.001 (0.003) Loss 2.2162 (2.0585) Prec@1 44.375 (47.071) Prec@5 73.750 (77.550) Epoch: [41][2090/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 2.0794 (2.0588) Prec@1 48.125 (47.074) Prec@5 76.250 (77.542) Epoch: [41][2100/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 2.0298 (2.0585) Prec@1 48.750 (47.084) Prec@5 78.125 (77.547) Epoch: [41][2110/11272] Time 0.891 (0.794) Data 0.002 (0.003) Loss 2.0961 (2.0587) Prec@1 47.500 (47.088) Prec@5 79.375 (77.541) Epoch: [41][2120/11272] Time 0.813 (0.794) Data 0.001 (0.003) Loss 2.1912 (2.0588) Prec@1 40.000 (47.092) Prec@5 76.875 (77.537) Epoch: [41][2130/11272] Time 0.732 (0.794) Data 0.001 (0.003) Loss 1.9454 (2.0590) Prec@1 52.500 (47.095) Prec@5 77.500 (77.538) Epoch: [41][2140/11272] Time 0.843 (0.794) Data 0.001 (0.003) Loss 2.3934 (2.0589) Prec@1 40.625 (47.096) Prec@5 71.875 (77.536) Epoch: [41][2150/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 1.9327 (2.0590) Prec@1 48.750 (47.085) Prec@5 78.750 (77.537) Epoch: [41][2160/11272] Time 0.750 (0.794) Data 0.001 (0.003) Loss 2.2176 (2.0589) Prec@1 43.750 (47.090) Prec@5 75.625 (77.540) Epoch: [41][2170/11272] Time 0.730 (0.794) Data 0.001 (0.003) Loss 1.9721 (2.0590) Prec@1 48.750 (47.087) Prec@5 76.875 (77.539) Epoch: [41][2180/11272] Time 0.853 (0.794) Data 0.001 (0.003) Loss 2.0437 (2.0590) Prec@1 45.000 (47.086) Prec@5 77.500 (77.541) Epoch: [41][2190/11272] Time 0.833 (0.794) Data 0.001 (0.003) Loss 1.8427 (2.0587) Prec@1 50.625 (47.095) Prec@5 81.250 (77.545) Epoch: [41][2200/11272] Time 0.751 (0.794) Data 0.002 (0.003) Loss 1.9167 (2.0586) Prec@1 48.125 (47.097) Prec@5 79.375 (77.551) Epoch: [41][2210/11272] Time 0.734 (0.794) Data 0.001 (0.003) Loss 1.9167 (2.0587) Prec@1 45.000 (47.093) Prec@5 81.250 (77.547) Epoch: [41][2220/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.9561 (2.0587) Prec@1 50.625 (47.100) Prec@5 78.125 (77.547) Epoch: [41][2230/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.2338 (2.0585) Prec@1 41.875 (47.101) Prec@5 74.375 (77.550) Epoch: [41][2240/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1323 (2.0587) Prec@1 45.000 (47.092) Prec@5 76.875 (77.549) Epoch: [41][2250/11272] Time 0.759 (0.794) Data 0.001 (0.002) Loss 1.9159 (2.0585) Prec@1 52.500 (47.095) Prec@5 79.375 (77.551) Epoch: [41][2260/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.9403 (2.0584) Prec@1 53.125 (47.104) Prec@5 82.500 (77.553) Epoch: [41][2270/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9465 (2.0587) Prec@1 47.500 (47.093) Prec@5 80.000 (77.553) Epoch: [41][2280/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0113 (2.0587) Prec@1 50.625 (47.096) Prec@5 74.375 (77.556) Epoch: [41][2290/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 1.9300 (2.0584) Prec@1 51.250 (47.098) Prec@5 81.250 (77.558) Epoch: [41][2300/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0296 (2.0581) Prec@1 48.750 (47.103) Prec@5 79.375 (77.568) Epoch: [41][2310/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1825 (2.0581) Prec@1 47.500 (47.108) Prec@5 76.250 (77.573) Epoch: [41][2320/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.0156 (2.0582) Prec@1 48.125 (47.106) Prec@5 78.750 (77.578) Epoch: [41][2330/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.9685 (2.0578) Prec@1 44.375 (47.113) Prec@5 85.000 (77.587) Epoch: [41][2340/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.0155 (2.0580) Prec@1 45.625 (47.106) Prec@5 80.000 (77.581) Epoch: [41][2350/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.2049 (2.0582) Prec@1 47.500 (47.103) Prec@5 76.875 (77.578) Epoch: [41][2360/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.9406 (2.0580) Prec@1 47.500 (47.104) Prec@5 78.125 (77.579) Epoch: [41][2370/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.0624 (2.0582) Prec@1 44.375 (47.103) Prec@5 80.625 (77.580) Epoch: [41][2380/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9172 (2.0583) Prec@1 50.625 (47.099) Prec@5 80.000 (77.577) Epoch: [41][2390/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.6631 (2.0582) Prec@1 56.250 (47.100) Prec@5 86.875 (77.583) Epoch: [41][2400/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.0948 (2.0581) Prec@1 44.375 (47.097) Prec@5 75.625 (77.585) Epoch: [41][2410/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.8894 (2.0578) Prec@1 51.250 (47.099) Prec@5 81.875 (77.589) Epoch: [41][2420/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0293 (2.0577) Prec@1 51.250 (47.101) Prec@5 75.625 (77.592) Epoch: [41][2430/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.1663 (2.0577) Prec@1 46.250 (47.102) Prec@5 75.625 (77.587) Epoch: [41][2440/11272] Time 0.862 (0.794) Data 0.001 (0.002) Loss 2.0999 (2.0577) Prec@1 51.250 (47.104) Prec@5 76.250 (77.588) Epoch: [41][2450/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.0487 (2.0577) Prec@1 44.375 (47.104) Prec@5 78.750 (77.582) Epoch: [41][2460/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.2828 (2.0576) Prec@1 43.750 (47.106) Prec@5 75.000 (77.586) Epoch: [41][2470/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.0220 (2.0577) Prec@1 44.375 (47.099) Prec@5 78.750 (77.587) Epoch: [41][2480/11272] Time 0.868 (0.794) Data 0.001 (0.002) Loss 2.1555 (2.0579) Prec@1 49.375 (47.093) Prec@5 76.250 (77.581) Epoch: [41][2490/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.8733 (2.0577) Prec@1 55.625 (47.099) Prec@5 80.000 (77.584) Epoch: [41][2500/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.1214 (2.0577) Prec@1 50.625 (47.100) Prec@5 78.125 (77.584) Epoch: [41][2510/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.2106 (2.0578) Prec@1 40.625 (47.094) Prec@5 74.375 (77.583) Epoch: [41][2520/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 1.9668 (2.0579) Prec@1 48.125 (47.090) Prec@5 78.125 (77.577) Epoch: [41][2530/11272] Time 0.732 (0.794) Data 0.003 (0.002) Loss 2.0866 (2.0579) Prec@1 48.750 (47.097) Prec@5 76.250 (77.578) Epoch: [41][2540/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1279 (2.0579) Prec@1 45.625 (47.092) Prec@5 75.625 (77.575) Epoch: [41][2550/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.3319 (2.0581) Prec@1 38.125 (47.089) Prec@5 71.250 (77.570) Epoch: [41][2560/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.1380 (2.0581) Prec@1 46.250 (47.084) Prec@5 75.625 (77.569) Epoch: [41][2570/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.3599 (2.0587) Prec@1 40.000 (47.069) Prec@5 67.500 (77.556) Epoch: [41][2580/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 2.0382 (2.0587) Prec@1 43.750 (47.071) Prec@5 80.000 (77.558) Epoch: [41][2590/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 2.2824 (2.0589) Prec@1 46.875 (47.070) Prec@5 73.750 (77.554) Epoch: [41][2600/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0342 (2.0592) Prec@1 46.250 (47.064) Prec@5 76.875 (77.548) Epoch: [41][2610/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.9279 (2.0592) Prec@1 49.375 (47.066) Prec@5 80.625 (77.549) Epoch: [41][2620/11272] Time 0.754 (0.793) Data 0.001 (0.002) Loss 2.0240 (2.0591) Prec@1 50.625 (47.067) Prec@5 80.000 (77.555) Epoch: [41][2630/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.2187 (2.0597) Prec@1 45.625 (47.056) Prec@5 75.000 (77.543) Epoch: [41][2640/11272] Time 0.915 (0.794) Data 0.002 (0.002) Loss 1.9168 (2.0597) Prec@1 52.500 (47.058) Prec@5 80.625 (77.544) Epoch: [41][2650/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.9569 (2.0599) Prec@1 48.125 (47.059) Prec@5 80.625 (77.541) Epoch: [41][2660/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 2.0868 (2.0595) Prec@1 45.000 (47.064) Prec@5 78.750 (77.550) Epoch: [41][2670/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.1962 (2.0596) Prec@1 43.750 (47.058) Prec@5 76.875 (77.548) Epoch: [41][2680/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0425 (2.0596) Prec@1 47.500 (47.061) Prec@5 79.375 (77.545) Epoch: [41][2690/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.0308 (2.0594) Prec@1 43.750 (47.059) Prec@5 79.375 (77.554) Epoch: [41][2700/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 1.9240 (2.0596) Prec@1 50.000 (47.061) Prec@5 80.000 (77.548) Epoch: [41][2710/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.9528 (2.0594) Prec@1 49.375 (47.061) Prec@5 80.000 (77.550) Epoch: [41][2720/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.3397 (2.0598) Prec@1 39.375 (47.054) Prec@5 76.250 (77.543) Epoch: [41][2730/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 2.3555 (2.0601) Prec@1 45.625 (47.045) Prec@5 70.000 (77.535) Epoch: [41][2740/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.0252 (2.0602) Prec@1 47.500 (47.046) Prec@5 81.250 (77.539) Epoch: [41][2750/11272] Time 0.825 (0.793) Data 0.002 (0.002) Loss 2.0863 (2.0603) Prec@1 44.375 (47.042) Prec@5 80.000 (77.539) Epoch: [41][2760/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 2.0630 (2.0604) Prec@1 50.625 (47.039) Prec@5 76.250 (77.537) Epoch: [41][2770/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 1.8819 (2.0604) Prec@1 52.500 (47.040) Prec@5 82.500 (77.543) Epoch: [41][2780/11272] Time 0.816 (0.793) Data 0.001 (0.002) Loss 2.0325 (2.0604) Prec@1 46.875 (47.044) Prec@5 80.000 (77.542) Epoch: [41][2790/11272] Time 0.734 (0.793) Data 0.003 (0.002) Loss 2.3885 (2.0604) Prec@1 46.875 (47.043) Prec@5 68.125 (77.540) Epoch: [41][2800/11272] Time 0.715 (0.793) Data 0.002 (0.002) Loss 2.0960 (2.0607) Prec@1 51.250 (47.042) Prec@5 72.500 (77.531) Epoch: [41][2810/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.0821 (2.0608) Prec@1 46.875 (47.043) Prec@5 75.625 (77.531) Epoch: [41][2820/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.3215 (2.0611) Prec@1 43.125 (47.042) Prec@5 71.250 (77.523) Epoch: [41][2830/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0634 (2.0609) Prec@1 48.125 (47.046) Prec@5 74.375 (77.528) Epoch: [41][2840/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 1.9749 (2.0607) Prec@1 48.750 (47.054) Prec@5 76.875 (77.536) Epoch: [41][2850/11272] Time 0.875 (0.794) Data 0.001 (0.002) Loss 1.9337 (2.0606) Prec@1 50.000 (47.061) Prec@5 77.500 (77.536) Epoch: [41][2860/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.9852 (2.0609) Prec@1 48.750 (47.059) Prec@5 78.125 (77.532) Epoch: [41][2870/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.0039 (2.0611) Prec@1 50.000 (47.054) Prec@5 76.875 (77.528) Epoch: [41][2880/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9554 (2.0611) Prec@1 43.750 (47.052) Prec@5 81.250 (77.528) Epoch: [41][2890/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.1164 (2.0612) Prec@1 48.750 (47.054) Prec@5 73.125 (77.522) Epoch: [41][2900/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.1529 (2.0611) Prec@1 43.125 (47.055) Prec@5 75.625 (77.523) Epoch: [41][2910/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.8552 (2.0612) Prec@1 58.125 (47.059) Prec@5 79.375 (77.520) Epoch: [41][2920/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.1775 (2.0611) Prec@1 43.125 (47.060) Prec@5 78.125 (77.524) Epoch: [41][2930/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.1713 (2.0612) Prec@1 40.625 (47.058) Prec@5 75.625 (77.519) Epoch: [41][2940/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.2613 (2.0612) Prec@1 43.750 (47.059) Prec@5 76.875 (77.520) Epoch: [41][2950/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9342 (2.0614) Prec@1 52.500 (47.055) Prec@5 80.625 (77.517) Epoch: [41][2960/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.1668 (2.0612) Prec@1 51.250 (47.065) Prec@5 73.750 (77.522) Epoch: [41][2970/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.0887 (2.0608) Prec@1 48.750 (47.074) Prec@5 75.000 (77.525) Epoch: [41][2980/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 1.9134 (2.0607) Prec@1 51.250 (47.077) Prec@5 79.375 (77.528) Epoch: [41][2990/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.0702 (2.0606) Prec@1 49.375 (47.079) Prec@5 78.125 (77.531) Epoch: [41][3000/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.2733 (2.0607) Prec@1 43.125 (47.072) Prec@5 72.500 (77.527) Epoch: [41][3010/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.8911 (2.0606) Prec@1 50.000 (47.070) Prec@5 81.250 (77.530) Epoch: [41][3020/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.9789 (2.0606) Prec@1 55.625 (47.073) Prec@5 78.750 (77.528) Epoch: [41][3030/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2937 (2.0607) Prec@1 43.125 (47.073) Prec@5 70.625 (77.523) Epoch: [41][3040/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 2.1682 (2.0607) Prec@1 44.375 (47.075) Prec@5 76.875 (77.525) Epoch: [41][3050/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 2.0632 (2.0608) Prec@1 44.375 (47.075) Prec@5 80.000 (77.525) Epoch: [41][3060/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1454 (2.0608) Prec@1 40.625 (47.069) Prec@5 78.750 (77.527) Epoch: [41][3070/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9216 (2.0608) Prec@1 46.875 (47.065) Prec@5 83.125 (77.528) Epoch: [41][3080/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.3105 (2.0608) Prec@1 43.750 (47.063) Prec@5 73.125 (77.532) Epoch: [41][3090/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.3797 (2.0609) Prec@1 40.000 (47.060) Prec@5 73.125 (77.530) Epoch: [41][3100/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.0255 (2.0609) Prec@1 50.000 (47.060) Prec@5 81.250 (77.532) Epoch: [41][3110/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.9281 (2.0610) Prec@1 50.625 (47.059) Prec@5 73.750 (77.529) Epoch: [41][3120/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9075 (2.0612) Prec@1 50.625 (47.054) Prec@5 81.250 (77.530) Epoch: [41][3130/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.0464 (2.0612) Prec@1 50.000 (47.056) Prec@5 73.750 (77.528) Epoch: [41][3140/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0358 (2.0609) Prec@1 46.875 (47.060) Prec@5 78.750 (77.533) Epoch: [41][3150/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.9685 (2.0611) Prec@1 48.750 (47.058) Prec@5 78.750 (77.531) Epoch: [41][3160/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 1.9382 (2.0611) Prec@1 50.625 (47.058) Prec@5 80.000 (77.530) Epoch: [41][3170/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0669 (2.0610) Prec@1 45.625 (47.058) Prec@5 77.500 (77.534) Epoch: [41][3180/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9473 (2.0608) Prec@1 53.125 (47.063) Prec@5 78.750 (77.535) Epoch: [41][3190/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 2.3317 (2.0609) Prec@1 41.875 (47.062) Prec@5 74.375 (77.533) Epoch: [41][3200/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.1761 (2.0609) Prec@1 44.375 (47.059) Prec@5 73.125 (77.536) Epoch: [41][3210/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 1.9547 (2.0611) Prec@1 51.875 (47.055) Prec@5 80.000 (77.532) Epoch: [41][3220/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.0707 (2.0609) Prec@1 48.125 (47.060) Prec@5 75.000 (77.535) Epoch: [41][3230/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 2.2315 (2.0606) Prec@1 41.250 (47.065) Prec@5 73.750 (77.538) Epoch: [41][3240/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.9030 (2.0605) Prec@1 46.875 (47.067) Prec@5 81.250 (77.540) Epoch: [41][3250/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1298 (2.0604) Prec@1 49.375 (47.070) Prec@5 77.500 (77.542) Epoch: [41][3260/11272] Time 0.881 (0.794) Data 0.002 (0.002) Loss 2.1450 (2.0603) Prec@1 45.625 (47.076) Prec@5 73.125 (77.543) Epoch: [41][3270/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.1018 (2.0604) Prec@1 44.375 (47.073) Prec@5 75.000 (77.540) Epoch: [41][3280/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.7773 (2.0604) Prec@1 53.125 (47.073) Prec@5 81.250 (77.542) Epoch: [41][3290/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 2.1686 (2.0603) Prec@1 46.875 (47.077) Prec@5 80.000 (77.545) Epoch: [41][3300/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.1325 (2.0604) Prec@1 42.500 (47.074) Prec@5 77.500 (77.542) Epoch: [41][3310/11272] Time 0.874 (0.793) Data 0.002 (0.002) Loss 2.0428 (2.0602) Prec@1 45.000 (47.077) Prec@5 78.750 (77.550) Epoch: [41][3320/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 2.0993 (2.0602) Prec@1 47.500 (47.078) Prec@5 75.000 (77.554) Epoch: [41][3330/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.9098 (2.0603) Prec@1 49.375 (47.076) Prec@5 73.750 (77.553) Epoch: [41][3340/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.9848 (2.0602) Prec@1 48.125 (47.075) Prec@5 78.750 (77.550) Epoch: [41][3350/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 2.0751 (2.0601) Prec@1 48.750 (47.079) Prec@5 76.250 (77.552) Epoch: [41][3360/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.9735 (2.0600) Prec@1 54.375 (47.082) Prec@5 76.250 (77.552) Epoch: [41][3370/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 2.2685 (2.0600) Prec@1 41.250 (47.080) Prec@5 72.500 (77.553) Epoch: [41][3380/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.9838 (2.0599) Prec@1 48.750 (47.082) Prec@5 78.125 (77.555) Epoch: [41][3390/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.8886 (2.0599) Prec@1 50.625 (47.083) Prec@5 78.125 (77.552) Epoch: [41][3400/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.9600 (2.0600) Prec@1 51.250 (47.086) Prec@5 81.875 (77.549) Epoch: [41][3410/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 2.0239 (2.0601) Prec@1 47.500 (47.085) Prec@5 79.375 (77.549) Epoch: [41][3420/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.0222 (2.0601) Prec@1 45.000 (47.081) Prec@5 76.250 (77.544) Epoch: [41][3430/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.0280 (2.0602) Prec@1 44.375 (47.081) Prec@5 75.000 (77.541) Epoch: [41][3440/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.9975 (2.0601) Prec@1 49.375 (47.081) Prec@5 80.000 (77.542) Epoch: [41][3450/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 2.1318 (2.0600) Prec@1 44.375 (47.079) Prec@5 79.375 (77.544) Epoch: [41][3460/11272] Time 0.727 (0.793) Data 0.003 (0.002) Loss 1.8031 (2.0601) Prec@1 50.000 (47.081) Prec@5 80.625 (77.539) Epoch: [41][3470/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.1843 (2.0602) Prec@1 45.625 (47.078) Prec@5 77.500 (77.538) Epoch: [41][3480/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 2.1147 (2.0602) Prec@1 43.750 (47.080) Prec@5 77.500 (77.538) Epoch: [41][3490/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 2.2488 (2.0603) Prec@1 39.375 (47.078) Prec@5 76.875 (77.536) Epoch: [41][3500/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1815 (2.0604) Prec@1 45.000 (47.079) Prec@5 78.125 (77.534) Epoch: [41][3510/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.9065 (2.0602) Prec@1 49.375 (47.083) Prec@5 80.000 (77.535) Epoch: [41][3520/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 2.0738 (2.0604) Prec@1 46.875 (47.083) Prec@5 75.625 (77.532) Epoch: [41][3530/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 2.1258 (2.0603) Prec@1 46.875 (47.084) Prec@5 76.250 (77.532) Epoch: [41][3540/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.0645 (2.0602) Prec@1 50.625 (47.086) Prec@5 79.375 (77.536) Epoch: [41][3550/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.2707 (2.0602) Prec@1 40.625 (47.090) Prec@5 71.875 (77.535) Epoch: [41][3560/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.8786 (2.0601) Prec@1 49.375 (47.089) Prec@5 81.875 (77.540) Epoch: [41][3570/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 2.0332 (2.0602) Prec@1 48.125 (47.085) Prec@5 78.750 (77.539) Epoch: [41][3580/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.9346 (2.0605) Prec@1 43.750 (47.077) Prec@5 81.250 (77.536) Epoch: [41][3590/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 2.0341 (2.0606) Prec@1 46.875 (47.077) Prec@5 78.750 (77.535) Epoch: [41][3600/11272] Time 0.871 (0.793) Data 0.002 (0.002) Loss 2.3990 (2.0607) Prec@1 38.125 (47.078) Prec@5 72.500 (77.532) Epoch: [41][3610/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 2.2495 (2.0607) Prec@1 45.625 (47.074) Prec@5 75.000 (77.532) Epoch: [41][3620/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.8961 (2.0606) Prec@1 49.375 (47.077) Prec@5 82.500 (77.535) Epoch: [41][3630/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 2.2435 (2.0608) Prec@1 41.875 (47.073) Prec@5 75.000 (77.533) Epoch: [41][3640/11272] Time 0.821 (0.793) Data 0.002 (0.002) Loss 2.1818 (2.0609) Prec@1 45.625 (47.070) Prec@5 78.750 (77.532) Epoch: [41][3650/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.0080 (2.0608) Prec@1 49.375 (47.073) Prec@5 79.375 (77.531) Epoch: [41][3660/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 1.8685 (2.0607) Prec@1 48.750 (47.073) Prec@5 80.625 (77.534) Epoch: [41][3670/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 2.0667 (2.0607) Prec@1 48.125 (47.073) Prec@5 74.375 (77.533) Epoch: [41][3680/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 2.4462 (2.0608) Prec@1 43.125 (47.071) Prec@5 70.625 (77.531) Epoch: [41][3690/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.9114 (2.0607) Prec@1 51.250 (47.071) Prec@5 79.375 (77.530) Epoch: [41][3700/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.9894 (2.0607) Prec@1 44.375 (47.067) Prec@5 80.000 (77.529) Epoch: [41][3710/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.0274 (2.0607) Prec@1 46.875 (47.065) Prec@5 76.250 (77.529) Epoch: [41][3720/11272] Time 0.736 (0.793) Data 0.004 (0.002) Loss 1.9151 (2.0607) Prec@1 50.000 (47.061) Prec@5 78.750 (77.529) Epoch: [41][3730/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 2.0224 (2.0608) Prec@1 48.750 (47.057) Prec@5 78.750 (77.532) Epoch: [41][3740/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 2.0189 (2.0607) Prec@1 44.375 (47.057) Prec@5 80.625 (77.534) Epoch: [41][3750/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 2.1732 (2.0609) Prec@1 40.625 (47.053) Prec@5 76.875 (77.532) Epoch: [41][3760/11272] Time 0.731 (0.793) Data 0.002 (0.002) Loss 1.9847 (2.0607) Prec@1 46.875 (47.059) Prec@5 75.000 (77.533) Epoch: [41][3770/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.0489 (2.0607) Prec@1 48.125 (47.054) Prec@5 75.000 (77.533) Epoch: [41][3780/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.0255 (2.0607) Prec@1 52.500 (47.056) Prec@5 75.625 (77.532) Epoch: [41][3790/11272] Time 0.828 (0.793) Data 0.002 (0.002) Loss 1.8469 (2.0607) Prec@1 48.750 (47.055) Prec@5 80.000 (77.531) Epoch: [41][3800/11272] Time 0.779 (0.793) Data 0.002 (0.002) Loss 2.0649 (2.0606) Prec@1 50.625 (47.058) Prec@5 78.750 (77.531) Epoch: [41][3810/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.9298 (2.0607) Prec@1 45.000 (47.050) Prec@5 78.125 (77.527) Epoch: [41][3820/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 2.2529 (2.0607) Prec@1 44.375 (47.049) Prec@5 76.875 (77.526) Epoch: [41][3830/11272] Time 0.870 (0.793) Data 0.001 (0.002) Loss 1.8940 (2.0607) Prec@1 53.750 (47.052) Prec@5 78.125 (77.526) Epoch: [41][3840/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 2.0144 (2.0609) Prec@1 45.625 (47.046) Prec@5 80.000 (77.522) Epoch: [41][3850/11272] Time 0.894 (0.793) Data 0.001 (0.002) Loss 1.7720 (2.0606) Prec@1 50.625 (47.052) Prec@5 81.250 (77.527) Epoch: [41][3860/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 2.1974 (2.0607) Prec@1 41.250 (47.052) Prec@5 75.000 (77.524) Epoch: [41][3870/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 1.9634 (2.0604) Prec@1 50.625 (47.059) Prec@5 78.125 (77.530) Epoch: [41][3880/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.2848 (2.0604) Prec@1 36.875 (47.059) Prec@5 73.125 (77.531) Epoch: [41][3890/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.0507 (2.0604) Prec@1 44.375 (47.060) Prec@5 78.125 (77.531) Epoch: [41][3900/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.8902 (2.0604) Prec@1 50.000 (47.058) Prec@5 80.625 (77.529) Epoch: [41][3910/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.0891 (2.0604) Prec@1 43.750 (47.055) Prec@5 75.000 (77.529) Epoch: [41][3920/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 2.1194 (2.0605) Prec@1 50.000 (47.053) Prec@5 75.625 (77.526) Epoch: [41][3930/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 2.3205 (2.0606) Prec@1 43.750 (47.046) Prec@5 75.625 (77.526) Epoch: [41][3940/11272] Time 0.834 (0.793) Data 0.002 (0.002) Loss 2.2525 (2.0607) Prec@1 40.625 (47.047) Prec@5 78.750 (77.526) Epoch: [41][3950/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.3010 (2.0607) Prec@1 42.500 (47.048) Prec@5 71.250 (77.526) Epoch: [41][3960/11272] Time 0.702 (0.794) Data 0.001 (0.002) Loss 2.3843 (2.0606) Prec@1 40.625 (47.048) Prec@5 68.750 (77.526) Epoch: [41][3970/11272] Time 0.849 (0.794) Data 0.002 (0.002) Loss 2.0224 (2.0607) Prec@1 45.000 (47.043) Prec@5 78.125 (77.525) Epoch: [41][3980/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9851 (2.0606) Prec@1 46.875 (47.046) Prec@5 77.500 (77.527) Epoch: [41][3990/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1374 (2.0605) Prec@1 48.125 (47.041) Prec@5 76.250 (77.527) Epoch: [41][4000/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.9526 (2.0605) Prec@1 49.375 (47.046) Prec@5 81.875 (77.528) Epoch: [41][4010/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9067 (2.0604) Prec@1 49.375 (47.048) Prec@5 79.375 (77.531) Epoch: [41][4020/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9290 (2.0604) Prec@1 46.250 (47.049) Prec@5 80.625 (77.531) Epoch: [41][4030/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.2419 (2.0604) Prec@1 46.875 (47.048) Prec@5 73.125 (77.531) Epoch: [41][4040/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 1.9351 (2.0604) Prec@1 48.125 (47.051) Prec@5 83.125 (77.532) Epoch: [41][4050/11272] Time 0.905 (0.794) Data 0.002 (0.002) Loss 1.9023 (2.0603) Prec@1 47.500 (47.053) Prec@5 80.000 (77.535) Epoch: [41][4060/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9997 (2.0605) Prec@1 50.625 (47.048) Prec@5 80.625 (77.531) Epoch: [41][4070/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.2865 (2.0607) Prec@1 40.625 (47.043) Prec@5 73.750 (77.528) Epoch: [41][4080/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.1519 (2.0609) Prec@1 45.625 (47.037) Prec@5 76.875 (77.526) Epoch: [41][4090/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1501 (2.0610) Prec@1 48.125 (47.032) Prec@5 75.625 (77.526) Epoch: [41][4100/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.2190 (2.0609) Prec@1 43.750 (47.029) Prec@5 75.000 (77.531) Epoch: [41][4110/11272] Time 0.716 (0.794) Data 0.001 (0.002) Loss 1.9662 (2.0609) Prec@1 46.875 (47.030) Prec@5 78.750 (77.530) Epoch: [41][4120/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9107 (2.0610) Prec@1 50.000 (47.027) Prec@5 83.125 (77.530) Epoch: [41][4130/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.1372 (2.0612) Prec@1 40.625 (47.021) Prec@5 75.000 (77.526) Epoch: [41][4140/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 1.9359 (2.0613) Prec@1 46.250 (47.020) Prec@5 80.625 (77.524) Epoch: [41][4150/11272] Time 0.803 (0.794) Data 0.001 (0.002) Loss 1.9593 (2.0613) Prec@1 46.875 (47.020) Prec@5 77.500 (77.527) Epoch: [41][4160/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.1273 (2.0611) Prec@1 44.375 (47.022) Prec@5 78.125 (77.530) Epoch: [41][4170/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 1.9478 (2.0611) Prec@1 53.750 (47.026) Prec@5 80.000 (77.529) Epoch: [41][4180/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.8558 (2.0610) Prec@1 50.000 (47.029) Prec@5 81.875 (77.531) Epoch: [41][4190/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.0328 (2.0609) Prec@1 48.125 (47.032) Prec@5 76.875 (77.531) Epoch: [41][4200/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.9443 (2.0608) Prec@1 50.000 (47.037) Prec@5 80.625 (77.536) Epoch: [41][4210/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9576 (2.0607) Prec@1 51.875 (47.044) Prec@5 79.375 (77.538) Epoch: [41][4220/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.9379 (2.0608) Prec@1 50.625 (47.037) Prec@5 81.250 (77.536) Epoch: [41][4230/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 2.2241 (2.0609) Prec@1 42.500 (47.037) Prec@5 75.625 (77.533) Epoch: [41][4240/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 2.0665 (2.0608) Prec@1 50.625 (47.037) Prec@5 79.375 (77.534) Epoch: [41][4250/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1498 (2.0609) Prec@1 50.000 (47.033) Prec@5 76.250 (77.532) Epoch: [41][4260/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.8303 (2.0609) Prec@1 54.375 (47.036) Prec@5 80.625 (77.534) Epoch: [41][4270/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.9811 (2.0608) Prec@1 49.375 (47.042) Prec@5 75.000 (77.534) Epoch: [41][4280/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.1862 (2.0609) Prec@1 44.375 (47.037) Prec@5 76.250 (77.535) Epoch: [41][4290/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.0472 (2.0607) Prec@1 46.875 (47.041) Prec@5 74.375 (77.538) Epoch: [41][4300/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.0833 (2.0606) Prec@1 50.625 (47.047) Prec@5 78.750 (77.537) Epoch: [41][4310/11272] Time 0.886 (0.794) Data 0.002 (0.002) Loss 1.9208 (2.0606) Prec@1 44.375 (47.046) Prec@5 81.250 (77.536) Epoch: [41][4320/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.6689 (2.0605) Prec@1 56.250 (47.049) Prec@5 83.750 (77.537) Epoch: [41][4330/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.2559 (2.0607) Prec@1 46.875 (47.048) Prec@5 71.875 (77.533) Epoch: [41][4340/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 1.8665 (2.0606) Prec@1 48.750 (47.051) Prec@5 82.500 (77.539) Epoch: [41][4350/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.0398 (2.0605) Prec@1 48.125 (47.055) Prec@5 73.125 (77.537) Epoch: [41][4360/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.0419 (2.0606) Prec@1 44.375 (47.053) Prec@5 78.750 (77.536) Epoch: [41][4370/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 1.8912 (2.0606) Prec@1 54.375 (47.055) Prec@5 80.625 (77.536) Epoch: [41][4380/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.8309 (2.0605) Prec@1 50.625 (47.054) Prec@5 85.000 (77.540) Epoch: [41][4390/11272] Time 0.749 (0.794) Data 0.003 (0.002) Loss 1.9103 (2.0605) Prec@1 49.375 (47.056) Prec@5 82.500 (77.540) Epoch: [41][4400/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.0412 (2.0604) Prec@1 49.375 (47.055) Prec@5 77.500 (77.541) Epoch: [41][4410/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.0699 (2.0603) Prec@1 45.000 (47.060) Prec@5 75.625 (77.543) Epoch: [41][4420/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.9147 (2.0604) Prec@1 51.875 (47.059) Prec@5 80.000 (77.541) Epoch: [41][4430/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 1.8323 (2.0602) Prec@1 51.875 (47.061) Prec@5 81.875 (77.545) Epoch: [41][4440/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.1905 (2.0601) Prec@1 41.250 (47.061) Prec@5 76.875 (77.546) Epoch: [41][4450/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.9652 (2.0601) Prec@1 47.500 (47.061) Prec@5 79.375 (77.547) Epoch: [41][4460/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 2.0276 (2.0601) Prec@1 48.750 (47.060) Prec@5 76.250 (77.546) Epoch: [41][4470/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.2863 (2.0602) Prec@1 44.375 (47.059) Prec@5 71.875 (77.547) Epoch: [41][4480/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1359 (2.0603) Prec@1 46.875 (47.054) Prec@5 76.875 (77.544) Epoch: [41][4490/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.0748 (2.0603) Prec@1 49.375 (47.052) Prec@5 76.250 (77.543) Epoch: [41][4500/11272] Time 0.898 (0.794) Data 0.002 (0.002) Loss 1.9924 (2.0602) Prec@1 48.125 (47.056) Prec@5 81.250 (77.545) Epoch: [41][4510/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 2.0366 (2.0601) Prec@1 50.000 (47.058) Prec@5 75.000 (77.545) Epoch: [41][4520/11272] Time 0.949 (0.794) Data 0.002 (0.002) Loss 2.1753 (2.0601) Prec@1 45.000 (47.057) Prec@5 78.750 (77.547) Epoch: [41][4530/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.1995 (2.0601) Prec@1 48.125 (47.055) Prec@5 70.625 (77.546) Epoch: [41][4540/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.9464 (2.0604) Prec@1 48.750 (47.049) Prec@5 81.875 (77.544) Epoch: [41][4550/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1229 (2.0604) Prec@1 47.500 (47.044) Prec@5 75.625 (77.544) Epoch: [41][4560/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 2.4317 (2.0605) Prec@1 38.750 (47.045) Prec@5 66.875 (77.541) Epoch: [41][4570/11272] Time 0.887 (0.794) Data 0.002 (0.002) Loss 2.0831 (2.0604) Prec@1 50.625 (47.051) Prec@5 75.000 (77.542) Epoch: [41][4580/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1777 (2.0603) Prec@1 45.000 (47.055) Prec@5 73.750 (77.542) Epoch: [41][4590/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1542 (2.0604) Prec@1 48.125 (47.055) Prec@5 78.750 (77.540) Epoch: [41][4600/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.8541 (2.0604) Prec@1 50.625 (47.057) Prec@5 79.375 (77.539) Epoch: [41][4610/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.4849 (2.0603) Prec@1 39.375 (47.058) Prec@5 68.125 (77.538) Epoch: [41][4620/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.0445 (2.0606) Prec@1 50.625 (47.054) Prec@5 78.750 (77.533) Epoch: [41][4630/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 2.1702 (2.0606) Prec@1 44.375 (47.055) Prec@5 76.875 (77.533) Epoch: [41][4640/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.0524 (2.0607) Prec@1 48.750 (47.048) Prec@5 80.000 (77.533) Epoch: [41][4650/11272] Time 0.738 (0.794) Data 0.003 (0.002) Loss 2.2127 (2.0608) Prec@1 46.250 (47.043) Prec@5 75.000 (77.535) Epoch: [41][4660/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.8078 (2.0607) Prec@1 50.000 (47.045) Prec@5 85.000 (77.537) Epoch: [41][4670/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.8326 (2.0604) Prec@1 50.000 (47.053) Prec@5 78.125 (77.542) Epoch: [41][4680/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.1455 (2.0605) Prec@1 48.125 (47.052) Prec@5 73.125 (77.541) Epoch: [41][4690/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 1.9426 (2.0607) Prec@1 42.500 (47.049) Prec@5 80.625 (77.537) Epoch: [41][4700/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1031 (2.0608) Prec@1 42.500 (47.048) Prec@5 76.250 (77.535) Epoch: [41][4710/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 2.1209 (2.0608) Prec@1 46.250 (47.049) Prec@5 74.375 (77.535) Epoch: [41][4720/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 1.9411 (2.0606) Prec@1 51.250 (47.051) Prec@5 78.750 (77.538) Epoch: [41][4730/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1228 (2.0606) Prec@1 44.375 (47.050) Prec@5 75.625 (77.539) Epoch: [41][4740/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1543 (2.0605) Prec@1 41.875 (47.050) Prec@5 75.625 (77.540) Epoch: [41][4750/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1100 (2.0605) Prec@1 45.625 (47.051) Prec@5 75.625 (77.541) Epoch: [41][4760/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.9074 (2.0604) Prec@1 53.125 (47.054) Prec@5 80.000 (77.541) Epoch: [41][4770/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0735 (2.0604) Prec@1 46.250 (47.055) Prec@5 76.875 (77.544) Epoch: [41][4780/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.2122 (2.0605) Prec@1 43.750 (47.049) Prec@5 73.750 (77.542) Epoch: [41][4790/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9524 (2.0604) Prec@1 46.875 (47.051) Prec@5 74.375 (77.543) Epoch: [41][4800/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.0445 (2.0604) Prec@1 49.375 (47.052) Prec@5 75.625 (77.544) Epoch: [41][4810/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0484 (2.0603) Prec@1 48.750 (47.056) Prec@5 74.375 (77.547) Epoch: [41][4820/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.9210 (2.0602) Prec@1 51.875 (47.061) Prec@5 81.250 (77.548) Epoch: [41][4830/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.1022 (2.0602) Prec@1 40.000 (47.061) Prec@5 78.125 (77.547) Epoch: [41][4840/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 1.9828 (2.0601) Prec@1 53.750 (47.062) Prec@5 75.000 (77.547) Epoch: [41][4850/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0022 (2.0601) Prec@1 52.500 (47.062) Prec@5 78.125 (77.548) Epoch: [41][4860/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.0670 (2.0601) Prec@1 51.875 (47.064) Prec@5 76.250 (77.548) Epoch: [41][4870/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.8481 (2.0599) Prec@1 50.000 (47.067) Prec@5 80.625 (77.554) Epoch: [41][4880/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.8889 (2.0599) Prec@1 46.250 (47.064) Prec@5 81.875 (77.553) Epoch: [41][4890/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1106 (2.0601) Prec@1 48.125 (47.062) Prec@5 75.625 (77.547) Epoch: [41][4900/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 2.2673 (2.0601) Prec@1 47.500 (47.062) Prec@5 72.500 (77.550) Epoch: [41][4910/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 1.6536 (2.0600) Prec@1 58.125 (47.064) Prec@5 82.500 (77.551) Epoch: [41][4920/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.0950 (2.0601) Prec@1 47.500 (47.064) Prec@5 78.125 (77.548) Epoch: [41][4930/11272] Time 0.933 (0.794) Data 0.002 (0.002) Loss 2.0594 (2.0602) Prec@1 45.625 (47.063) Prec@5 80.625 (77.547) Epoch: [41][4940/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 1.7794 (2.0601) Prec@1 48.750 (47.066) Prec@5 86.250 (77.550) Epoch: [41][4950/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.0136 (2.0602) Prec@1 50.625 (47.064) Prec@5 76.875 (77.546) Epoch: [41][4960/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1000 (2.0603) Prec@1 45.000 (47.061) Prec@5 78.125 (77.541) Epoch: [41][4970/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1904 (2.0604) Prec@1 41.250 (47.056) Prec@5 74.375 (77.540) Epoch: [41][4980/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 2.2508 (2.0605) Prec@1 44.375 (47.054) Prec@5 78.750 (77.541) Epoch: [41][4990/11272] Time 0.764 (0.794) Data 0.001 (0.002) Loss 2.1080 (2.0604) Prec@1 45.625 (47.053) Prec@5 78.125 (77.544) Epoch: [41][5000/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 1.8795 (2.0603) Prec@1 55.000 (47.059) Prec@5 81.875 (77.546) Epoch: [41][5010/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 1.9889 (2.0603) Prec@1 44.375 (47.061) Prec@5 81.875 (77.546) Epoch: [41][5020/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 1.7896 (2.0602) Prec@1 51.250 (47.064) Prec@5 81.875 (77.545) Epoch: [41][5030/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0890 (2.0603) Prec@1 42.500 (47.063) Prec@5 75.000 (77.546) Epoch: [41][5040/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.2242 (2.0602) Prec@1 41.875 (47.063) Prec@5 73.750 (77.546) Epoch: [41][5050/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.3153 (2.0604) Prec@1 48.125 (47.058) Prec@5 75.000 (77.544) Epoch: [41][5060/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.0167 (2.0604) Prec@1 51.250 (47.059) Prec@5 76.250 (77.544) Epoch: [41][5070/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.2007 (2.0604) Prec@1 46.875 (47.060) Prec@5 76.875 (77.544) Epoch: [41][5080/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.3687 (2.0604) Prec@1 38.750 (47.057) Prec@5 71.875 (77.542) Epoch: [41][5090/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.0381 (2.0604) Prec@1 48.125 (47.055) Prec@5 77.500 (77.544) Epoch: [41][5100/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9162 (2.0606) Prec@1 51.250 (47.053) Prec@5 80.000 (77.541) Epoch: [41][5110/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 2.1904 (2.0607) Prec@1 49.375 (47.051) Prec@5 76.875 (77.541) Epoch: [41][5120/11272] Time 0.802 (0.794) Data 0.001 (0.002) Loss 2.1519 (2.0607) Prec@1 46.250 (47.052) Prec@5 76.875 (77.543) Epoch: [41][5130/11272] Time 0.849 (0.794) Data 0.002 (0.002) Loss 1.8084 (2.0607) Prec@1 46.875 (47.049) Prec@5 81.250 (77.542) Epoch: [41][5140/11272] Time 0.718 (0.794) Data 0.002 (0.002) Loss 2.1451 (2.0608) Prec@1 43.750 (47.046) Prec@5 74.375 (77.542) Epoch: [41][5150/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0982 (2.0608) Prec@1 48.750 (47.048) Prec@5 73.750 (77.541) Epoch: [41][5160/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.2051 (2.0608) Prec@1 40.625 (47.047) Prec@5 75.625 (77.541) Epoch: [41][5170/11272] Time 0.887 (0.794) Data 0.002 (0.002) Loss 2.0222 (2.0609) Prec@1 45.000 (47.045) Prec@5 78.750 (77.541) Epoch: [41][5180/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 1.9725 (2.0609) Prec@1 46.250 (47.042) Prec@5 80.000 (77.539) Epoch: [41][5190/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.9446 (2.0611) Prec@1 49.375 (47.042) Prec@5 81.250 (77.533) Epoch: [41][5200/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 2.2662 (2.0611) Prec@1 43.750 (47.042) Prec@5 76.875 (77.534) Epoch: [41][5210/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.3422 (2.0612) Prec@1 43.125 (47.038) Prec@5 74.375 (77.534) Epoch: [41][5220/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 1.8542 (2.0612) Prec@1 50.000 (47.038) Prec@5 81.875 (77.537) Epoch: [41][5230/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.9455 (2.0613) Prec@1 51.250 (47.036) Prec@5 80.000 (77.535) Epoch: [41][5240/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 2.0922 (2.0612) Prec@1 46.250 (47.038) Prec@5 76.875 (77.534) Epoch: [41][5250/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.9368 (2.0611) Prec@1 48.125 (47.040) Prec@5 80.625 (77.538) Epoch: [41][5260/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.9687 (2.0611) Prec@1 45.000 (47.037) Prec@5 78.125 (77.537) Epoch: [41][5270/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.1275 (2.0612) Prec@1 45.625 (47.036) Prec@5 73.750 (77.535) Epoch: [41][5280/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.9703 (2.0612) Prec@1 47.500 (47.040) Prec@5 78.750 (77.534) Epoch: [41][5290/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 2.3233 (2.0614) Prec@1 44.375 (47.037) Prec@5 70.000 (77.532) Epoch: [41][5300/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1948 (2.0615) Prec@1 42.500 (47.033) Prec@5 76.250 (77.530) Epoch: [41][5310/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.1386 (2.0615) Prec@1 43.125 (47.033) Prec@5 76.875 (77.530) Epoch: [41][5320/11272] Time 0.757 (0.793) Data 0.004 (0.002) Loss 1.9253 (2.0614) Prec@1 50.000 (47.034) Prec@5 75.625 (77.532) Epoch: [41][5330/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.1861 (2.0614) Prec@1 48.125 (47.034) Prec@5 77.500 (77.534) Epoch: [41][5340/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 2.4166 (2.0616) Prec@1 36.875 (47.030) Prec@5 73.750 (77.529) Epoch: [41][5350/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 2.0056 (2.0616) Prec@1 45.625 (47.030) Prec@5 76.250 (77.528) Epoch: [41][5360/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 1.8736 (2.0615) Prec@1 52.500 (47.031) Prec@5 78.750 (77.528) Epoch: [41][5370/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 2.0654 (2.0615) Prec@1 47.500 (47.033) Prec@5 78.750 (77.531) Epoch: [41][5380/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 2.1248 (2.0616) Prec@1 45.625 (47.033) Prec@5 76.875 (77.533) Epoch: [41][5390/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 2.1604 (2.0616) Prec@1 46.875 (47.033) Prec@5 73.750 (77.531) Epoch: [41][5400/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 1.7580 (2.0616) Prec@1 55.625 (47.030) Prec@5 85.000 (77.531) Epoch: [41][5410/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.9069 (2.0616) Prec@1 53.125 (47.032) Prec@5 83.750 (77.532) Epoch: [41][5420/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 2.0516 (2.0616) Prec@1 47.500 (47.030) Prec@5 77.500 (77.531) Epoch: [41][5430/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.9892 (2.0616) Prec@1 47.500 (47.030) Prec@5 78.750 (77.530) Epoch: [41][5440/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.9203 (2.0616) Prec@1 56.250 (47.032) Prec@5 76.875 (77.529) Epoch: [41][5450/11272] Time 0.925 (0.793) Data 0.001 (0.002) Loss 1.9657 (2.0615) Prec@1 48.750 (47.033) Prec@5 76.875 (77.527) Epoch: [41][5460/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 2.0495 (2.0616) Prec@1 46.250 (47.033) Prec@5 75.625 (77.526) Epoch: [41][5470/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 2.0336 (2.0616) Prec@1 47.500 (47.033) Prec@5 78.125 (77.527) Epoch: [41][5480/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.9103 (2.0615) Prec@1 53.750 (47.034) Prec@5 79.375 (77.528) Epoch: [41][5490/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 2.0272 (2.0615) Prec@1 50.000 (47.031) Prec@5 78.125 (77.527) Epoch: [41][5500/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.8924 (2.0614) Prec@1 49.375 (47.031) Prec@5 79.375 (77.528) Epoch: [41][5510/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.1999 (2.0613) Prec@1 45.625 (47.030) Prec@5 75.625 (77.530) Epoch: [41][5520/11272] Time 0.772 (0.793) Data 0.002 (0.002) Loss 2.2934 (2.0614) Prec@1 42.500 (47.031) Prec@5 75.000 (77.530) Epoch: [41][5530/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.9814 (2.0615) Prec@1 48.750 (47.033) Prec@5 79.375 (77.529) Epoch: [41][5540/11272] Time 0.826 (0.793) Data 0.002 (0.002) Loss 1.7572 (2.0615) Prec@1 48.750 (47.031) Prec@5 83.750 (77.530) Epoch: [41][5550/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.0506 (2.0616) Prec@1 52.500 (47.031) Prec@5 80.625 (77.527) Epoch: [41][5560/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.1454 (2.0617) Prec@1 44.375 (47.029) Prec@5 75.000 (77.527) Epoch: [41][5570/11272] Time 0.901 (0.793) Data 0.002 (0.002) Loss 1.8941 (2.0618) Prec@1 48.750 (47.029) Prec@5 75.625 (77.524) Epoch: [41][5580/11272] Time 0.737 (0.793) Data 0.003 (0.002) Loss 2.0293 (2.0616) Prec@1 46.875 (47.034) Prec@5 78.750 (77.527) Epoch: [41][5590/11272] Time 0.751 (0.793) Data 0.001 (0.002) Loss 2.1215 (2.0617) Prec@1 45.000 (47.033) Prec@5 73.750 (77.527) Epoch: [41][5600/11272] Time 0.804 (0.793) Data 0.001 (0.002) Loss 1.8742 (2.0617) Prec@1 50.625 (47.031) Prec@5 79.375 (77.526) Epoch: [41][5610/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.0876 (2.0617) Prec@1 49.375 (47.030) Prec@5 78.750 (77.526) Epoch: [41][5620/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.9590 (2.0615) Prec@1 47.500 (47.032) Prec@5 83.125 (77.529) Epoch: [41][5630/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.7901 (2.0615) Prec@1 51.875 (47.033) Prec@5 81.250 (77.531) Epoch: [41][5640/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 2.1553 (2.0616) Prec@1 43.125 (47.031) Prec@5 73.750 (77.528) Epoch: [41][5650/11272] Time 0.859 (0.793) Data 0.001 (0.002) Loss 2.2506 (2.0616) Prec@1 41.875 (47.034) Prec@5 73.125 (77.530) Epoch: [41][5660/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.2031 (2.0617) Prec@1 51.250 (47.038) Prec@5 76.250 (77.526) Epoch: [41][5670/11272] Time 0.742 (0.793) Data 0.002 (0.002) Loss 2.0629 (2.0616) Prec@1 45.625 (47.040) Prec@5 80.625 (77.527) Epoch: [41][5680/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 2.2440 (2.0616) Prec@1 47.500 (47.041) Prec@5 76.250 (77.528) Epoch: [41][5690/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.3018 (2.0616) Prec@1 39.375 (47.043) Prec@5 74.375 (77.525) Epoch: [41][5700/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 2.0760 (2.0616) Prec@1 46.250 (47.043) Prec@5 75.000 (77.524) Epoch: [41][5710/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 2.0969 (2.0617) Prec@1 45.625 (47.040) Prec@5 73.750 (77.522) Epoch: [41][5720/11272] Time 0.899 (0.793) Data 0.002 (0.002) Loss 2.0733 (2.0616) Prec@1 46.875 (47.040) Prec@5 74.375 (77.523) Epoch: [41][5730/11272] Time 0.769 (0.793) Data 0.001 (0.002) Loss 2.2081 (2.0615) Prec@1 43.125 (47.041) Prec@5 76.250 (77.525) Epoch: [41][5740/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.8804 (2.0615) Prec@1 50.000 (47.041) Prec@5 80.000 (77.525) Epoch: [41][5750/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.1819 (2.0616) Prec@1 43.125 (47.038) Prec@5 76.250 (77.523) Epoch: [41][5760/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.9167 (2.0617) Prec@1 53.125 (47.037) Prec@5 76.875 (77.519) Epoch: [41][5770/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.0262 (2.0616) Prec@1 47.500 (47.040) Prec@5 75.000 (77.520) Epoch: [41][5780/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.1908 (2.0616) Prec@1 39.375 (47.039) Prec@5 75.000 (77.520) Epoch: [41][5790/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 2.0015 (2.0617) Prec@1 43.750 (47.037) Prec@5 78.750 (77.520) Epoch: [41][5800/11272] Time 0.842 (0.793) Data 0.002 (0.002) Loss 2.0623 (2.0617) Prec@1 47.500 (47.039) Prec@5 76.250 (77.521) Epoch: [41][5810/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 2.0674 (2.0617) Prec@1 47.500 (47.040) Prec@5 75.625 (77.520) Epoch: [41][5820/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.9577 (2.0617) Prec@1 45.000 (47.042) Prec@5 80.625 (77.522) Epoch: [41][5830/11272] Time 0.881 (0.793) Data 0.002 (0.002) Loss 1.9038 (2.0618) Prec@1 53.750 (47.043) Prec@5 81.875 (77.521) Epoch: [41][5840/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 2.0750 (2.0617) Prec@1 45.625 (47.043) Prec@5 77.500 (77.522) Epoch: [41][5850/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.9235 (2.0616) Prec@1 48.125 (47.043) Prec@5 83.750 (77.526) Epoch: [41][5860/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 2.0079 (2.0616) Prec@1 46.875 (47.041) Prec@5 80.625 (77.526) Epoch: [41][5870/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.1119 (2.0616) Prec@1 46.875 (47.042) Prec@5 75.000 (77.524) Epoch: [41][5880/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.0037 (2.0617) Prec@1 47.500 (47.042) Prec@5 77.500 (77.524) Epoch: [41][5890/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 2.2036 (2.0617) Prec@1 48.125 (47.043) Prec@5 75.625 (77.523) Epoch: [41][5900/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.9524 (2.0618) Prec@1 50.000 (47.043) Prec@5 78.750 (77.519) Epoch: [41][5910/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 2.0753 (2.0620) Prec@1 50.625 (47.037) Prec@5 78.125 (77.517) Epoch: [41][5920/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.2333 (2.0620) Prec@1 41.875 (47.037) Prec@5 73.750 (77.515) Epoch: [41][5930/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 2.0397 (2.0620) Prec@1 45.000 (47.039) Prec@5 77.500 (77.514) Epoch: [41][5940/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.2674 (2.0620) Prec@1 40.625 (47.038) Prec@5 70.625 (77.514) Epoch: [41][5950/11272] Time 0.787 (0.793) Data 0.001 (0.002) Loss 2.0494 (2.0621) Prec@1 46.250 (47.038) Prec@5 79.375 (77.514) Epoch: [41][5960/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.1307 (2.0622) Prec@1 47.500 (47.036) Prec@5 76.250 (77.511) Epoch: [41][5970/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 2.2581 (2.0624) Prec@1 43.125 (47.031) Prec@5 71.875 (77.507) Epoch: [41][5980/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 2.2883 (2.0625) Prec@1 46.250 (47.030) Prec@5 76.875 (77.506) Epoch: [41][5990/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.1257 (2.0625) Prec@1 45.000 (47.031) Prec@5 73.750 (77.506) Epoch: [41][6000/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 1.8355 (2.0623) Prec@1 55.625 (47.032) Prec@5 80.625 (77.509) Epoch: [41][6010/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 2.1175 (2.0624) Prec@1 46.875 (47.033) Prec@5 79.375 (77.510) Epoch: [41][6020/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 1.9743 (2.0623) Prec@1 48.750 (47.035) Prec@5 77.500 (77.511) Epoch: [41][6030/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 2.3101 (2.0626) Prec@1 45.000 (47.028) Prec@5 70.625 (77.505) Epoch: [41][6040/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 2.4542 (2.0626) Prec@1 40.625 (47.028) Prec@5 71.875 (77.506) Epoch: [41][6050/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.8857 (2.0628) Prec@1 51.875 (47.025) Prec@5 82.500 (77.503) Epoch: [41][6060/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 2.0133 (2.0628) Prec@1 46.250 (47.027) Prec@5 77.500 (77.501) Epoch: [41][6070/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.7595 (2.0628) Prec@1 52.500 (47.027) Prec@5 83.125 (77.501) Epoch: [41][6080/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.0277 (2.0629) Prec@1 48.750 (47.026) Prec@5 75.000 (77.499) Epoch: [41][6090/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.1167 (2.0629) Prec@1 49.375 (47.025) Prec@5 76.250 (77.498) Epoch: [41][6100/11272] Time 0.867 (0.793) Data 0.002 (0.002) Loss 2.2127 (2.0629) Prec@1 45.000 (47.027) Prec@5 72.500 (77.499) Epoch: [41][6110/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.1886 (2.0631) Prec@1 51.875 (47.025) Prec@5 75.000 (77.495) Epoch: [41][6120/11272] Time 0.826 (0.793) Data 0.002 (0.002) Loss 2.1583 (2.0632) Prec@1 44.375 (47.025) Prec@5 76.250 (77.491) Epoch: [41][6130/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 2.0805 (2.0631) Prec@1 47.500 (47.025) Prec@5 78.125 (77.492) Epoch: [41][6140/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 1.8797 (2.0631) Prec@1 49.375 (47.027) Prec@5 79.375 (77.492) Epoch: [41][6150/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.9238 (2.0631) Prec@1 48.125 (47.026) Prec@5 79.375 (77.493) Epoch: [41][6160/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 1.8927 (2.0631) Prec@1 52.500 (47.026) Prec@5 78.750 (77.494) Epoch: [41][6170/11272] Time 0.886 (0.793) Data 0.002 (0.002) Loss 2.4216 (2.0632) Prec@1 43.125 (47.023) Prec@5 70.000 (77.492) Epoch: [41][6180/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2009 (2.0632) Prec@1 50.000 (47.022) Prec@5 73.750 (77.493) Epoch: [41][6190/11272] Time 0.750 (0.793) Data 0.001 (0.002) Loss 2.0280 (2.0632) Prec@1 46.875 (47.022) Prec@5 78.125 (77.493) Epoch: [41][6200/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.0828 (2.0633) Prec@1 44.375 (47.019) Prec@5 76.250 (77.491) Epoch: [41][6210/11272] Time 0.808 (0.793) Data 0.001 (0.002) Loss 2.1657 (2.0633) Prec@1 46.875 (47.019) Prec@5 81.250 (77.494) Epoch: [41][6220/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.6057 (2.0632) Prec@1 56.250 (47.022) Prec@5 88.125 (77.497) Epoch: [41][6230/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.3870 (2.0632) Prec@1 40.625 (47.021) Prec@5 71.250 (77.496) Epoch: [41][6240/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 2.2634 (2.0631) Prec@1 45.000 (47.023) Prec@5 70.625 (77.501) Epoch: [41][6250/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 2.4475 (2.0633) Prec@1 36.250 (47.018) Prec@5 70.000 (77.496) Epoch: [41][6260/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 2.1742 (2.0633) Prec@1 49.375 (47.018) Prec@5 73.125 (77.496) Epoch: [41][6270/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.9924 (2.0633) Prec@1 50.000 (47.017) Prec@5 78.750 (77.496) Epoch: [41][6280/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.1090 (2.0634) Prec@1 41.875 (47.015) Prec@5 76.250 (77.496) Epoch: [41][6290/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.1357 (2.0634) Prec@1 43.125 (47.013) Prec@5 75.625 (77.496) Epoch: [41][6300/11272] Time 0.768 (0.793) Data 0.002 (0.002) Loss 1.9831 (2.0634) Prec@1 46.250 (47.011) Prec@5 77.500 (77.496) Epoch: [41][6310/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.8938 (2.0634) Prec@1 50.000 (47.012) Prec@5 85.625 (77.497) Epoch: [41][6320/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 2.1311 (2.0634) Prec@1 46.250 (47.011) Prec@5 72.500 (77.494) Epoch: [41][6330/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 2.2747 (2.0636) Prec@1 41.250 (47.008) Prec@5 75.625 (77.491) Epoch: [41][6340/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 2.0603 (2.0636) Prec@1 45.000 (47.006) Prec@5 75.625 (77.491) Epoch: [41][6350/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.2616 (2.0637) Prec@1 40.625 (47.005) Prec@5 73.750 (77.491) Epoch: [41][6360/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.8643 (2.0636) Prec@1 51.250 (47.007) Prec@5 81.250 (77.492) Epoch: [41][6370/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 2.0196 (2.0636) Prec@1 43.750 (47.005) Prec@5 78.125 (77.492) Epoch: [41][6380/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 2.1642 (2.0637) Prec@1 46.875 (47.003) Prec@5 78.750 (77.492) Epoch: [41][6390/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 2.6092 (2.0637) Prec@1 35.625 (47.002) Prec@5 68.125 (77.491) Epoch: [41][6400/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.8116 (2.0638) Prec@1 54.375 (47.002) Prec@5 80.000 (77.489) Epoch: [41][6410/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 2.1442 (2.0637) Prec@1 48.125 (47.002) Prec@5 77.500 (77.490) Epoch: [41][6420/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 2.0715 (2.0636) Prec@1 43.125 (47.005) Prec@5 79.375 (77.492) Epoch: [41][6430/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.1503 (2.0637) Prec@1 42.500 (47.002) Prec@5 77.500 (77.492) Epoch: [41][6440/11272] Time 0.769 (0.793) Data 0.001 (0.002) Loss 2.3870 (2.0637) Prec@1 36.250 (46.999) Prec@5 71.875 (77.493) Epoch: [41][6450/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 1.9781 (2.0637) Prec@1 47.500 (47.000) Prec@5 80.625 (77.494) Epoch: [41][6460/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 2.1501 (2.0637) Prec@1 51.875 (47.002) Prec@5 76.250 (77.495) Epoch: [41][6470/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.1477 (2.0638) Prec@1 41.875 (46.998) Prec@5 78.125 (77.494) Epoch: [41][6480/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.9708 (2.0638) Prec@1 51.250 (46.997) Prec@5 76.250 (77.493) Epoch: [41][6490/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.1096 (2.0639) Prec@1 41.875 (46.994) Prec@5 78.750 (77.492) Epoch: [41][6500/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.1711 (2.0640) Prec@1 48.125 (46.995) Prec@5 80.625 (77.490) Epoch: [41][6510/11272] Time 0.748 (0.793) Data 0.003 (0.002) Loss 2.0330 (2.0640) Prec@1 48.125 (46.995) Prec@5 80.000 (77.488) Epoch: [41][6520/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.9991 (2.0639) Prec@1 49.375 (46.998) Prec@5 78.125 (77.490) Epoch: [41][6530/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.3330 (2.0640) Prec@1 40.625 (46.998) Prec@5 73.125 (77.489) Epoch: [41][6540/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.3402 (2.0640) Prec@1 41.250 (46.997) Prec@5 76.875 (77.490) Epoch: [41][6550/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 2.0582 (2.0640) Prec@1 50.625 (46.999) Prec@5 75.000 (77.490) Epoch: [41][6560/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 1.9068 (2.0641) Prec@1 53.750 (46.998) Prec@5 80.000 (77.490) Epoch: [41][6570/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 2.0301 (2.0639) Prec@1 51.875 (47.003) Prec@5 77.500 (77.493) Epoch: [41][6580/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 2.1961 (2.0639) Prec@1 49.375 (47.005) Prec@5 70.625 (77.493) Epoch: [41][6590/11272] Time 0.786 (0.793) Data 0.002 (0.002) Loss 2.1448 (2.0638) Prec@1 44.375 (47.007) Prec@5 78.125 (77.493) Epoch: [41][6600/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.0781 (2.0638) Prec@1 45.000 (47.007) Prec@5 79.375 (77.493) Epoch: [41][6610/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.1738 (2.0639) Prec@1 45.625 (47.007) Prec@5 75.000 (77.491) Epoch: [41][6620/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 2.1587 (2.0640) Prec@1 44.375 (47.005) Prec@5 76.250 (77.490) Epoch: [41][6630/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 2.0258 (2.0640) Prec@1 50.000 (47.006) Prec@5 77.500 (77.490) Epoch: [41][6640/11272] Time 0.879 (0.793) Data 0.001 (0.002) Loss 2.2429 (2.0641) Prec@1 40.000 (47.003) Prec@5 75.625 (77.489) Epoch: [41][6650/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 2.3794 (2.0642) Prec@1 40.000 (47.002) Prec@5 71.875 (77.488) Epoch: [41][6660/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.3204 (2.0642) Prec@1 38.750 (47.001) Prec@5 75.000 (77.487) Epoch: [41][6670/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 1.9766 (2.0641) Prec@1 43.125 (47.001) Prec@5 79.375 (77.489) Epoch: [41][6680/11272] Time 0.878 (0.793) Data 0.001 (0.002) Loss 2.0388 (2.0642) Prec@1 47.500 (46.999) Prec@5 80.625 (77.488) Epoch: [41][6690/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 2.3254 (2.0643) Prec@1 42.500 (46.997) Prec@5 71.250 (77.486) Epoch: [41][6700/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.8341 (2.0643) Prec@1 48.125 (46.999) Prec@5 81.875 (77.487) Epoch: [41][6710/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.0865 (2.0642) Prec@1 42.500 (46.999) Prec@5 77.500 (77.488) Epoch: [41][6720/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.2838 (2.0642) Prec@1 41.250 (46.999) Prec@5 71.875 (77.487) Epoch: [41][6730/11272] Time 0.833 (0.793) Data 0.002 (0.002) Loss 1.9103 (2.0642) Prec@1 41.875 (46.996) Prec@5 80.000 (77.488) Epoch: [41][6740/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.2080 (2.0641) Prec@1 43.125 (46.998) Prec@5 74.375 (77.488) Epoch: [41][6750/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 2.1634 (2.0643) Prec@1 43.750 (46.996) Prec@5 71.250 (77.486) Epoch: [41][6760/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.1734 (2.0643) Prec@1 41.250 (46.995) Prec@5 77.500 (77.483) Epoch: [41][6770/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 1.8981 (2.0643) Prec@1 46.875 (46.993) Prec@5 78.125 (77.483) Epoch: [41][6780/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.0742 (2.0644) Prec@1 48.750 (46.990) Prec@5 77.500 (77.481) Epoch: [41][6790/11272] Time 0.895 (0.793) Data 0.002 (0.002) Loss 1.8849 (2.0645) Prec@1 50.000 (46.989) Prec@5 80.000 (77.478) Epoch: [41][6800/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.0538 (2.0644) Prec@1 50.625 (46.992) Prec@5 78.750 (77.480) Epoch: [41][6810/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.9068 (2.0645) Prec@1 46.250 (46.989) Prec@5 82.500 (77.478) Epoch: [41][6820/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.0638 (2.0647) Prec@1 46.250 (46.986) Prec@5 77.500 (77.473) Epoch: [41][6830/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.1469 (2.0645) Prec@1 46.250 (46.989) Prec@5 74.375 (77.474) Epoch: [41][6840/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 2.2448 (2.0646) Prec@1 42.500 (46.986) Prec@5 74.375 (77.474) Epoch: [41][6850/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.2654 (2.0645) Prec@1 42.500 (46.986) Prec@5 73.750 (77.478) Epoch: [41][6860/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 2.0787 (2.0645) Prec@1 46.875 (46.986) Prec@5 75.625 (77.478) Epoch: [41][6870/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.9834 (2.0645) Prec@1 50.000 (46.988) Prec@5 79.375 (77.477) Epoch: [41][6880/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 2.3585 (2.0646) Prec@1 37.500 (46.986) Prec@5 75.000 (77.476) Epoch: [41][6890/11272] Time 0.757 (0.793) Data 0.001 (0.002) Loss 2.0827 (2.0645) Prec@1 47.500 (46.986) Prec@5 78.750 (77.478) Epoch: [41][6900/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 2.1455 (2.0645) Prec@1 40.000 (46.988) Prec@5 73.750 (77.479) Epoch: [41][6910/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.9930 (2.0645) Prec@1 50.000 (46.985) Prec@5 76.875 (77.477) Epoch: [41][6920/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.3120 (2.0645) Prec@1 40.625 (46.987) Prec@5 72.500 (77.479) Epoch: [41][6930/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 1.8332 (2.0644) Prec@1 50.625 (46.987) Prec@5 85.000 (77.482) Epoch: [41][6940/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.1507 (2.0645) Prec@1 44.375 (46.986) Prec@5 73.125 (77.479) Epoch: [41][6950/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.1866 (2.0645) Prec@1 43.125 (46.987) Prec@5 79.375 (77.479) Epoch: [41][6960/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.0335 (2.0645) Prec@1 50.000 (46.987) Prec@5 79.375 (77.479) Epoch: [41][6970/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.9578 (2.0645) Prec@1 46.875 (46.987) Prec@5 82.500 (77.481) Epoch: [41][6980/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.7776 (2.0644) Prec@1 52.500 (46.990) Prec@5 83.750 (77.482) Epoch: [41][6990/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 2.0898 (2.0644) Prec@1 46.250 (46.991) Prec@5 78.125 (77.482) Epoch: [41][7000/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 2.0963 (2.0643) Prec@1 46.875 (46.994) Prec@5 75.000 (77.483) Epoch: [41][7010/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.2027 (2.0643) Prec@1 45.000 (46.993) Prec@5 75.625 (77.484) Epoch: [41][7020/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.8482 (2.0642) Prec@1 52.500 (46.993) Prec@5 81.875 (77.485) Epoch: [41][7030/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.0910 (2.0643) Prec@1 46.250 (46.993) Prec@5 75.625 (77.483) Epoch: [41][7040/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 2.1143 (2.0643) Prec@1 46.250 (46.992) Prec@5 80.625 (77.484) Epoch: [41][7050/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 2.2846 (2.0643) Prec@1 44.375 (46.991) Prec@5 73.750 (77.483) Epoch: [41][7060/11272] Time 0.816 (0.793) Data 0.001 (0.002) Loss 1.9488 (2.0643) Prec@1 50.625 (46.992) Prec@5 81.250 (77.484) Epoch: [41][7070/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 2.0253 (2.0642) Prec@1 50.000 (46.992) Prec@5 76.250 (77.484) Epoch: [41][7080/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 2.1559 (2.0643) Prec@1 46.875 (46.992) Prec@5 72.500 (77.481) Epoch: [41][7090/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 1.8405 (2.0643) Prec@1 50.000 (46.990) Prec@5 78.750 (77.480) Epoch: [41][7100/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 1.7928 (2.0642) Prec@1 50.625 (46.992) Prec@5 80.625 (77.484) Epoch: [41][7110/11272] Time 0.778 (0.793) Data 0.002 (0.002) Loss 1.9483 (2.0641) Prec@1 52.500 (46.998) Prec@5 76.250 (77.485) Epoch: [41][7120/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.9057 (2.0641) Prec@1 48.750 (46.996) Prec@5 80.000 (77.485) Epoch: [41][7130/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 2.2596 (2.0641) Prec@1 38.750 (46.997) Prec@5 74.375 (77.484) Epoch: [41][7140/11272] Time 0.866 (0.793) Data 0.001 (0.002) Loss 1.9886 (2.0641) Prec@1 43.750 (46.997) Prec@5 80.000 (77.486) Epoch: [41][7150/11272] Time 0.758 (0.793) Data 0.001 (0.002) Loss 2.1695 (2.0641) Prec@1 45.000 (46.994) Prec@5 75.000 (77.488) Epoch: [41][7160/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 2.2246 (2.0641) Prec@1 42.500 (46.992) Prec@5 75.000 (77.487) Epoch: [41][7170/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 1.8906 (2.0642) Prec@1 54.375 (46.993) Prec@5 78.125 (77.485) Epoch: [41][7180/11272] Time 0.736 (0.793) Data 0.003 (0.002) Loss 2.2042 (2.0643) Prec@1 46.250 (46.991) Prec@5 75.625 (77.483) Epoch: [41][7190/11272] Time 0.753 (0.793) Data 0.001 (0.002) Loss 1.9392 (2.0643) Prec@1 51.875 (46.991) Prec@5 78.750 (77.483) Epoch: [41][7200/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.9399 (2.0642) Prec@1 50.625 (46.993) Prec@5 78.125 (77.483) Epoch: [41][7210/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.9528 (2.0643) Prec@1 48.125 (46.992) Prec@5 78.750 (77.482) Epoch: [41][7220/11272] Time 0.731 (0.793) Data 0.002 (0.002) Loss 2.1967 (2.0645) Prec@1 42.500 (46.989) Prec@5 75.000 (77.478) Epoch: [41][7230/11272] Time 0.746 (0.793) Data 0.002 (0.002) Loss 1.9692 (2.0644) Prec@1 48.750 (46.991) Prec@5 76.250 (77.478) Epoch: [41][7240/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.8885 (2.0643) Prec@1 48.125 (46.991) Prec@5 81.875 (77.480) Epoch: [41][7250/11272] Time 0.851 (0.793) Data 0.002 (0.002) Loss 2.3148 (2.0644) Prec@1 41.875 (46.989) Prec@5 71.250 (77.479) Epoch: [41][7260/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.9867 (2.0644) Prec@1 50.625 (46.988) Prec@5 78.125 (77.478) Epoch: [41][7270/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 2.2130 (2.0645) Prec@1 46.250 (46.986) Prec@5 72.500 (77.477) Epoch: [41][7280/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.9902 (2.0645) Prec@1 46.875 (46.985) Prec@5 80.625 (77.477) Epoch: [41][7290/11272] Time 0.892 (0.793) Data 0.002 (0.002) Loss 1.9896 (2.0646) Prec@1 45.000 (46.982) Prec@5 78.750 (77.476) Epoch: [41][7300/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.9669 (2.0646) Prec@1 50.625 (46.985) Prec@5 79.375 (77.476) Epoch: [41][7310/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.9400 (2.0646) Prec@1 50.000 (46.984) Prec@5 73.750 (77.475) Epoch: [41][7320/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 2.0807 (2.0647) Prec@1 42.500 (46.982) Prec@5 77.500 (77.475) Epoch: [41][7330/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.1615 (2.0647) Prec@1 47.500 (46.982) Prec@5 73.125 (77.474) Epoch: [41][7340/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2866 (2.0647) Prec@1 45.000 (46.980) Prec@5 75.625 (77.474) Epoch: [41][7350/11272] Time 0.843 (0.793) Data 0.002 (0.002) Loss 2.3986 (2.0648) Prec@1 43.125 (46.979) Prec@5 67.500 (77.473) Epoch: [41][7360/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 2.1670 (2.0647) Prec@1 46.250 (46.980) Prec@5 73.125 (77.472) Epoch: [41][7370/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.2332 (2.0649) Prec@1 43.125 (46.978) Prec@5 70.625 (77.469) Epoch: [41][7380/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.9186 (2.0649) Prec@1 45.000 (46.975) Prec@5 80.000 (77.469) Epoch: [41][7390/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 2.1257 (2.0650) Prec@1 44.375 (46.974) Prec@5 78.125 (77.467) Epoch: [41][7400/11272] Time 0.818 (0.793) Data 0.001 (0.002) Loss 2.1830 (2.0650) Prec@1 41.875 (46.974) Prec@5 74.375 (77.469) Epoch: [41][7410/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.9327 (2.0649) Prec@1 51.875 (46.976) Prec@5 81.875 (77.472) Epoch: [41][7420/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.9377 (2.0648) Prec@1 47.500 (46.976) Prec@5 79.375 (77.474) Epoch: [41][7430/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.9303 (2.0647) Prec@1 51.875 (46.977) Prec@5 78.125 (77.475) Epoch: [41][7440/11272] Time 0.736 (0.793) Data 0.003 (0.002) Loss 2.3488 (2.0647) Prec@1 41.250 (46.977) Prec@5 72.500 (77.474) Epoch: [41][7450/11272] Time 0.753 (0.793) Data 0.001 (0.002) Loss 1.8606 (2.0648) Prec@1 52.500 (46.977) Prec@5 81.875 (77.472) Epoch: [41][7460/11272] Time 0.866 (0.793) Data 0.001 (0.002) Loss 1.9604 (2.0649) Prec@1 49.375 (46.976) Prec@5 79.375 (77.471) Epoch: [41][7470/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.6937 (2.0649) Prec@1 55.000 (46.976) Prec@5 83.750 (77.472) Epoch: [41][7480/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 2.2508 (2.0648) Prec@1 48.125 (46.977) Prec@5 74.375 (77.472) Epoch: [41][7490/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 2.0738 (2.0648) Prec@1 51.875 (46.978) Prec@5 78.125 (77.471) Epoch: [41][7500/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.1714 (2.0648) Prec@1 43.125 (46.979) Prec@5 76.250 (77.471) Epoch: [41][7510/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.3632 (2.0648) Prec@1 39.375 (46.978) Prec@5 75.000 (77.470) Epoch: [41][7520/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 2.0334 (2.0648) Prec@1 46.875 (46.978) Prec@5 77.500 (77.469) Epoch: [41][7530/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 1.9861 (2.0649) Prec@1 46.250 (46.976) Prec@5 76.250 (77.468) Epoch: [41][7540/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 2.0295 (2.0649) Prec@1 48.125 (46.975) Prec@5 78.125 (77.467) Epoch: [41][7550/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.0226 (2.0650) Prec@1 43.750 (46.974) Prec@5 80.000 (77.466) Epoch: [41][7560/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 2.0335 (2.0651) Prec@1 46.875 (46.971) Prec@5 76.875 (77.463) Epoch: [41][7570/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.8702 (2.0650) Prec@1 55.000 (46.973) Prec@5 80.625 (77.463) Epoch: [41][7580/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.9421 (2.0650) Prec@1 48.125 (46.972) Prec@5 76.875 (77.462) Epoch: [41][7590/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1168 (2.0651) Prec@1 48.750 (46.972) Prec@5 75.625 (77.461) Epoch: [41][7600/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2046 (2.0652) Prec@1 40.625 (46.968) Prec@5 73.750 (77.458) Epoch: [41][7610/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.9134 (2.0652) Prec@1 47.500 (46.967) Prec@5 82.500 (77.459) Epoch: [41][7620/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 2.1075 (2.0651) Prec@1 45.000 (46.969) Prec@5 72.500 (77.459) Epoch: [41][7630/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.8479 (2.0650) Prec@1 56.875 (46.972) Prec@5 80.625 (77.459) Epoch: [41][7640/11272] Time 0.756 (0.793) Data 0.003 (0.002) Loss 2.0250 (2.0651) Prec@1 55.625 (46.972) Prec@5 81.250 (77.459) Epoch: [41][7650/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.9628 (2.0650) Prec@1 51.875 (46.974) Prec@5 78.125 (77.459) Epoch: [41][7660/11272] Time 0.842 (0.793) Data 0.002 (0.002) Loss 1.8565 (2.0650) Prec@1 46.875 (46.974) Prec@5 81.875 (77.459) Epoch: [41][7670/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 2.0146 (2.0650) Prec@1 46.875 (46.974) Prec@5 78.750 (77.457) Epoch: [41][7680/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.0592 (2.0650) Prec@1 46.250 (46.975) Prec@5 76.250 (77.459) Epoch: [41][7690/11272] Time 0.825 (0.793) Data 0.002 (0.002) Loss 2.0266 (2.0651) Prec@1 43.125 (46.972) Prec@5 80.000 (77.456) Epoch: [41][7700/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.8364 (2.0652) Prec@1 48.750 (46.971) Prec@5 83.125 (77.456) Epoch: [41][7710/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.8940 (2.0652) Prec@1 46.875 (46.971) Prec@5 82.500 (77.456) Epoch: [41][7720/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 2.0948 (2.0652) Prec@1 42.500 (46.968) Prec@5 73.750 (77.455) Epoch: [41][7730/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 2.2965 (2.0652) Prec@1 41.875 (46.969) Prec@5 71.875 (77.455) Epoch: [41][7740/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.2752 (2.0654) Prec@1 41.250 (46.965) Prec@5 70.625 (77.450) Epoch: [41][7750/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.0796 (2.0654) Prec@1 44.375 (46.965) Prec@5 77.500 (77.450) Epoch: [41][7760/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 1.8160 (2.0653) Prec@1 53.750 (46.968) Prec@5 77.500 (77.450) Epoch: [41][7770/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 2.0155 (2.0653) Prec@1 46.875 (46.968) Prec@5 78.125 (77.450) Epoch: [41][7780/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 2.1125 (2.0654) Prec@1 43.125 (46.965) Prec@5 75.625 (77.449) Epoch: [41][7790/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.8893 (2.0653) Prec@1 48.750 (46.966) Prec@5 80.625 (77.450) Epoch: [41][7800/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.2440 (2.0654) Prec@1 41.250 (46.966) Prec@5 70.625 (77.449) Epoch: [41][7810/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 2.3298 (2.0655) Prec@1 38.750 (46.966) Prec@5 72.500 (77.447) Epoch: [41][7820/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 2.0938 (2.0655) Prec@1 45.000 (46.964) Prec@5 75.000 (77.447) Epoch: [41][7830/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0398 (2.0655) Prec@1 43.750 (46.964) Prec@5 78.750 (77.447) Epoch: [41][7840/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.0792 (2.0654) Prec@1 48.125 (46.967) Prec@5 78.750 (77.448) Epoch: [41][7850/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.0776 (2.0654) Prec@1 48.125 (46.968) Prec@5 78.125 (77.447) Epoch: [41][7860/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 1.9163 (2.0653) Prec@1 50.625 (46.970) Prec@5 82.500 (77.449) Epoch: [41][7870/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 2.3449 (2.0653) Prec@1 36.875 (46.969) Prec@5 74.375 (77.448) Epoch: [41][7880/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.8784 (2.0653) Prec@1 52.500 (46.970) Prec@5 81.875 (77.448) Epoch: [41][7890/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 2.1214 (2.0654) Prec@1 44.375 (46.968) Prec@5 75.625 (77.447) Epoch: [41][7900/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 2.1998 (2.0654) Prec@1 46.875 (46.966) Prec@5 73.750 (77.447) Epoch: [41][7910/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 2.0774 (2.0654) Prec@1 46.250 (46.963) Prec@5 79.375 (77.447) Epoch: [41][7920/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.2500 (2.0654) Prec@1 43.750 (46.960) Prec@5 72.500 (77.447) Epoch: [41][7930/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 2.1376 (2.0655) Prec@1 46.250 (46.959) Prec@5 76.250 (77.446) Epoch: [41][7940/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 2.0246 (2.0656) Prec@1 50.000 (46.957) Prec@5 78.750 (77.444) Epoch: [41][7950/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.9679 (2.0655) Prec@1 46.875 (46.959) Prec@5 77.500 (77.445) Epoch: [41][7960/11272] Time 0.911 (0.793) Data 0.001 (0.002) Loss 1.9888 (2.0655) Prec@1 48.750 (46.960) Prec@5 78.125 (77.445) Epoch: [41][7970/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.9456 (2.0654) Prec@1 48.125 (46.961) Prec@5 83.750 (77.448) Epoch: [41][7980/11272] Time 0.873 (0.793) Data 0.002 (0.002) Loss 2.1376 (2.0654) Prec@1 42.500 (46.961) Prec@5 73.750 (77.449) Epoch: [41][7990/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.0096 (2.0653) Prec@1 46.250 (46.963) Prec@5 80.000 (77.451) Epoch: [41][8000/11272] Time 0.750 (0.793) Data 0.001 (0.002) Loss 2.3746 (2.0654) Prec@1 45.625 (46.962) Prec@5 71.875 (77.450) Epoch: [41][8010/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.2344 (2.0654) Prec@1 43.750 (46.961) Prec@5 72.500 (77.451) Epoch: [41][8020/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.9164 (2.0654) Prec@1 51.250 (46.962) Prec@5 79.375 (77.449) Epoch: [41][8030/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 2.0808 (2.0654) Prec@1 45.625 (46.962) Prec@5 78.125 (77.449) Epoch: [41][8040/11272] Time 0.751 (0.793) Data 0.001 (0.002) Loss 2.2327 (2.0654) Prec@1 41.875 (46.961) Prec@5 75.625 (77.451) Epoch: [41][8050/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 2.0452 (2.0654) Prec@1 45.000 (46.962) Prec@5 78.125 (77.452) Epoch: [41][8060/11272] Time 0.834 (0.793) Data 0.002 (0.002) Loss 2.3673 (2.0653) Prec@1 41.875 (46.964) Prec@5 74.375 (77.453) Epoch: [41][8070/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 2.0664 (2.0654) Prec@1 43.750 (46.961) Prec@5 77.500 (77.450) Epoch: [41][8080/11272] Time 0.750 (0.793) Data 0.001 (0.002) Loss 2.1862 (2.0655) Prec@1 46.875 (46.960) Prec@5 75.625 (77.449) Epoch: [41][8090/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 2.0051 (2.0655) Prec@1 51.875 (46.959) Prec@5 78.750 (77.448) Epoch: [41][8100/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 2.3337 (2.0655) Prec@1 46.250 (46.960) Prec@5 72.500 (77.447) Epoch: [41][8110/11272] Time 0.734 (0.793) Data 0.003 (0.002) Loss 1.9185 (2.0654) Prec@1 50.000 (46.962) Prec@5 83.125 (77.448) Epoch: [41][8120/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 1.8543 (2.0655) Prec@1 55.000 (46.963) Prec@5 81.250 (77.447) Epoch: [41][8130/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.0090 (2.0654) Prec@1 46.875 (46.963) Prec@5 78.750 (77.448) Epoch: [41][8140/11272] Time 0.805 (0.793) Data 0.001 (0.002) Loss 2.1674 (2.0654) Prec@1 45.625 (46.962) Prec@5 75.625 (77.448) Epoch: [41][8150/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.9685 (2.0654) Prec@1 48.125 (46.962) Prec@5 78.750 (77.447) Epoch: [41][8160/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 2.2675 (2.0654) Prec@1 41.875 (46.962) Prec@5 71.875 (77.447) Epoch: [41][8170/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 2.1669 (2.0654) Prec@1 43.125 (46.961) Prec@5 74.375 (77.448) Epoch: [41][8180/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.7947 (2.0654) Prec@1 51.250 (46.962) Prec@5 81.875 (77.448) Epoch: [41][8190/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 2.1588 (2.0655) Prec@1 42.500 (46.958) Prec@5 73.125 (77.447) Epoch: [41][8200/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 2.1469 (2.0656) Prec@1 48.125 (46.957) Prec@5 74.375 (77.445) Epoch: [41][8210/11272] Time 0.857 (0.793) Data 0.001 (0.002) Loss 2.3294 (2.0656) Prec@1 40.625 (46.954) Prec@5 73.125 (77.445) Epoch: [41][8220/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 2.0198 (2.0656) Prec@1 48.125 (46.954) Prec@5 79.375 (77.444) Epoch: [41][8230/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.1428 (2.0656) Prec@1 45.625 (46.953) Prec@5 73.750 (77.444) Epoch: [41][8240/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.9800 (2.0657) Prec@1 52.500 (46.952) Prec@5 75.000 (77.442) Epoch: [41][8250/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.2400 (2.0658) Prec@1 46.250 (46.952) Prec@5 76.875 (77.441) Epoch: [41][8260/11272] Time 0.758 (0.793) Data 0.002 (0.002) Loss 1.6860 (2.0657) Prec@1 55.625 (46.952) Prec@5 86.250 (77.443) Epoch: [41][8270/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 2.1008 (2.0657) Prec@1 47.500 (46.951) Prec@5 77.500 (77.442) Epoch: [41][8280/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.9753 (2.0658) Prec@1 48.125 (46.949) Prec@5 81.875 (77.443) Epoch: [41][8290/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0899 (2.0658) Prec@1 45.000 (46.947) Prec@5 80.625 (77.442) Epoch: [41][8300/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.9912 (2.0659) Prec@1 51.875 (46.947) Prec@5 78.125 (77.441) Epoch: [41][8310/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.9533 (2.0659) Prec@1 46.875 (46.945) Prec@5 81.250 (77.440) Epoch: [41][8320/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.1788 (2.0659) Prec@1 44.375 (46.946) Prec@5 75.625 (77.439) Epoch: [41][8330/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.1488 (2.0659) Prec@1 45.625 (46.946) Prec@5 75.000 (77.439) Epoch: [41][8340/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 2.3794 (2.0659) Prec@1 39.375 (46.944) Prec@5 70.625 (77.437) Epoch: [41][8350/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.0057 (2.0661) Prec@1 46.250 (46.940) Prec@5 79.375 (77.437) Epoch: [41][8360/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.1765 (2.0661) Prec@1 44.375 (46.940) Prec@5 76.250 (77.436) Epoch: [41][8370/11272] Time 0.733 (0.793) Data 0.003 (0.002) Loss 2.1109 (2.0661) Prec@1 46.250 (46.939) Prec@5 79.375 (77.438) Epoch: [41][8380/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.0200 (2.0662) Prec@1 45.625 (46.937) Prec@5 79.375 (77.436) Epoch: [41][8390/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.1081 (2.0661) Prec@1 50.625 (46.939) Prec@5 76.875 (77.437) Epoch: [41][8400/11272] Time 0.834 (0.793) Data 0.002 (0.002) Loss 2.1771 (2.0660) Prec@1 48.750 (46.943) Prec@5 74.375 (77.437) Epoch: [41][8410/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.7967 (2.0660) Prec@1 56.875 (46.944) Prec@5 82.500 (77.439) Epoch: [41][8420/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.8728 (2.0659) Prec@1 55.625 (46.945) Prec@5 80.000 (77.440) Epoch: [41][8430/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 2.0031 (2.0659) Prec@1 49.375 (46.945) Prec@5 77.500 (77.441) Epoch: [41][8440/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 2.3550 (2.0659) Prec@1 45.000 (46.944) Prec@5 70.625 (77.441) Epoch: [41][8450/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.8590 (2.0659) Prec@1 51.250 (46.945) Prec@5 81.875 (77.441) Epoch: [41][8460/11272] Time 0.753 (0.793) Data 0.002 (0.002) Loss 2.1680 (2.0660) Prec@1 46.250 (46.943) Prec@5 77.500 (77.439) Epoch: [41][8470/11272] Time 0.833 (0.793) Data 0.002 (0.002) Loss 2.2656 (2.0660) Prec@1 45.000 (46.943) Prec@5 73.125 (77.438) Epoch: [41][8480/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.8377 (2.0659) Prec@1 53.750 (46.944) Prec@5 79.375 (77.439) Epoch: [41][8490/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 2.1488 (2.0659) Prec@1 50.625 (46.944) Prec@5 71.250 (77.440) Epoch: [41][8500/11272] Time 0.874 (0.793) Data 0.002 (0.002) Loss 2.0525 (2.0659) Prec@1 46.250 (46.943) Prec@5 76.875 (77.440) Epoch: [41][8510/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.0957 (2.0658) Prec@1 51.250 (46.946) Prec@5 76.875 (77.441) Epoch: [41][8520/11272] Time 0.760 (0.793) Data 0.001 (0.002) Loss 2.1453 (2.0658) Prec@1 45.625 (46.946) Prec@5 73.750 (77.441) Epoch: [41][8530/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1386 (2.0658) Prec@1 46.250 (46.946) Prec@5 76.250 (77.443) Epoch: [41][8540/11272] Time 0.863 (0.793) Data 0.001 (0.002) Loss 2.3231 (2.0659) Prec@1 42.500 (46.944) Prec@5 71.250 (77.440) Epoch: [41][8550/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 2.1596 (2.0660) Prec@1 48.125 (46.941) Prec@5 77.500 (77.440) Epoch: [41][8560/11272] Time 0.754 (0.793) Data 0.001 (0.002) Loss 2.1652 (2.0660) Prec@1 46.875 (46.941) Prec@5 75.625 (77.439) Epoch: [41][8570/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.0411 (2.0660) Prec@1 46.250 (46.943) Prec@5 79.375 (77.439) Epoch: [41][8580/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.9952 (2.0659) Prec@1 48.125 (46.946) Prec@5 79.375 (77.440) Epoch: [41][8590/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 2.1531 (2.0660) Prec@1 49.375 (46.943) Prec@5 77.500 (77.440) Epoch: [41][8600/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.1206 (2.0660) Prec@1 42.500 (46.944) Prec@5 77.500 (77.440) Epoch: [41][8610/11272] Time 0.788 (0.793) Data 0.001 (0.002) Loss 2.0938 (2.0659) Prec@1 45.625 (46.945) Prec@5 77.500 (77.441) Epoch: [41][8620/11272] Time 0.873 (0.793) Data 0.001 (0.002) Loss 2.0895 (2.0659) Prec@1 48.125 (46.945) Prec@5 81.875 (77.441) Epoch: [41][8630/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 2.1968 (2.0659) Prec@1 45.000 (46.946) Prec@5 77.500 (77.442) Epoch: [41][8640/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.1868 (2.0658) Prec@1 48.750 (46.946) Prec@5 74.375 (77.444) Epoch: [41][8650/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.1350 (2.0659) Prec@1 43.750 (46.944) Prec@5 75.000 (77.442) Epoch: [41][8660/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.0314 (2.0659) Prec@1 47.500 (46.943) Prec@5 78.125 (77.442) Epoch: [41][8670/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0710 (2.0659) Prec@1 48.750 (46.944) Prec@5 78.125 (77.442) Epoch: [41][8680/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 2.1261 (2.0660) Prec@1 41.875 (46.939) Prec@5 73.125 (77.440) Epoch: [41][8690/11272] Time 0.873 (0.793) Data 0.001 (0.002) Loss 2.1681 (2.0660) Prec@1 45.625 (46.938) Prec@5 76.875 (77.440) Epoch: [41][8700/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 2.0687 (2.0661) Prec@1 45.625 (46.938) Prec@5 77.500 (77.439) Epoch: [41][8710/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.9922 (2.0660) Prec@1 51.250 (46.940) Prec@5 76.250 (77.441) Epoch: [41][8720/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.8659 (2.0660) Prec@1 50.000 (46.939) Prec@5 83.125 (77.442) Epoch: [41][8730/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.8667 (2.0659) Prec@1 50.000 (46.940) Prec@5 81.875 (77.444) Epoch: [41][8740/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.9348 (2.0659) Prec@1 51.875 (46.941) Prec@5 76.875 (77.445) Epoch: [41][8750/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 2.0167 (2.0660) Prec@1 44.375 (46.939) Prec@5 81.875 (77.444) Epoch: [41][8760/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 2.0026 (2.0661) Prec@1 47.500 (46.938) Prec@5 77.500 (77.442) Epoch: [41][8770/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 2.1171 (2.0661) Prec@1 45.000 (46.936) Prec@5 73.750 (77.441) Epoch: [41][8780/11272] Time 0.753 (0.793) Data 0.002 (0.002) Loss 2.1027 (2.0662) Prec@1 43.125 (46.935) Prec@5 77.500 (77.440) Epoch: [41][8790/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.1591 (2.0662) Prec@1 40.625 (46.936) Prec@5 80.000 (77.441) Epoch: [41][8800/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 2.0340 (2.0661) Prec@1 48.125 (46.940) Prec@5 74.375 (77.442) Epoch: [41][8810/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.1242 (2.0660) Prec@1 46.875 (46.942) Prec@5 77.500 (77.444) Epoch: [41][8820/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.9223 (2.0660) Prec@1 54.375 (46.941) Prec@5 81.250 (77.443) Epoch: [41][8830/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.1644 (2.0660) Prec@1 43.750 (46.941) Prec@5 72.500 (77.443) Epoch: [41][8840/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 2.1875 (2.0661) Prec@1 47.500 (46.940) Prec@5 75.625 (77.442) Epoch: [41][8850/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0342 (2.0661) Prec@1 44.375 (46.941) Prec@5 80.625 (77.442) Epoch: [41][8860/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 2.0825 (2.0662) Prec@1 52.500 (46.942) Prec@5 76.875 (77.441) Epoch: [41][8870/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.0238 (2.0661) Prec@1 45.625 (46.942) Prec@5 75.000 (77.442) Epoch: [41][8880/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 2.2255 (2.0662) Prec@1 44.375 (46.940) Prec@5 74.375 (77.441) Epoch: [41][8890/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 2.2162 (2.0663) Prec@1 48.125 (46.939) Prec@5 75.625 (77.440) Epoch: [41][8900/11272] Time 0.750 (0.793) Data 0.002 (0.002) Loss 1.9056 (2.0663) Prec@1 54.375 (46.939) Prec@5 78.750 (77.440) Epoch: [41][8910/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 2.1401 (2.0663) Prec@1 46.250 (46.941) Prec@5 76.250 (77.441) Epoch: [41][8920/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 2.0985 (2.0664) Prec@1 45.000 (46.939) Prec@5 75.000 (77.437) Epoch: [41][8930/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.8829 (2.0664) Prec@1 46.250 (46.937) Prec@5 85.625 (77.438) Epoch: [41][8940/11272] Time 0.768 (0.793) Data 0.002 (0.002) Loss 2.2693 (2.0666) Prec@1 44.375 (46.934) Prec@5 75.000 (77.434) Epoch: [41][8950/11272] Time 0.902 (0.793) Data 0.002 (0.002) Loss 2.0720 (2.0666) Prec@1 46.875 (46.933) Prec@5 74.375 (77.434) Epoch: [41][8960/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 2.1686 (2.0666) Prec@1 43.750 (46.934) Prec@5 74.375 (77.433) Epoch: [41][8970/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 2.0081 (2.0666) Prec@1 44.375 (46.936) Prec@5 76.875 (77.434) Epoch: [41][8980/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 1.8515 (2.0666) Prec@1 54.375 (46.937) Prec@5 79.375 (77.435) Epoch: [41][8990/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 1.8993 (2.0666) Prec@1 49.375 (46.937) Prec@5 83.125 (77.434) Epoch: [41][9000/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 2.0333 (2.0666) Prec@1 45.625 (46.937) Prec@5 76.875 (77.434) Epoch: [41][9010/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.1298 (2.0666) Prec@1 45.625 (46.937) Prec@5 78.125 (77.434) Epoch: [41][9020/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 2.0682 (2.0667) Prec@1 41.250 (46.936) Prec@5 76.875 (77.433) Epoch: [41][9030/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 2.0223 (2.0668) Prec@1 41.875 (46.937) Prec@5 82.500 (77.431) Epoch: [41][9040/11272] Time 0.750 (0.793) Data 0.003 (0.002) Loss 2.0293 (2.0668) Prec@1 43.125 (46.936) Prec@5 80.000 (77.431) Epoch: [41][9050/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 2.0323 (2.0668) Prec@1 48.125 (46.936) Prec@5 80.000 (77.431) Epoch: [41][9060/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 2.1548 (2.0668) Prec@1 43.750 (46.936) Prec@5 75.000 (77.430) Epoch: [41][9070/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 2.1518 (2.0668) Prec@1 50.000 (46.938) Prec@5 76.875 (77.430) Epoch: [41][9080/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.1723 (2.0668) Prec@1 46.250 (46.937) Prec@5 75.000 (77.429) Epoch: [41][9090/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.8951 (2.0668) Prec@1 48.750 (46.936) Prec@5 80.000 (77.429) Epoch: [41][9100/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.2180 (2.0668) Prec@1 45.000 (46.935) Prec@5 77.500 (77.430) Epoch: [41][9110/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 2.0291 (2.0668) Prec@1 46.875 (46.935) Prec@5 78.125 (77.430) Epoch: [41][9120/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 2.0623 (2.0669) Prec@1 50.625 (46.934) Prec@5 77.500 (77.429) Epoch: [41][9130/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.2136 (2.0669) Prec@1 43.750 (46.933) Prec@5 72.500 (77.427) Epoch: [41][9140/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 2.1789 (2.0670) Prec@1 44.375 (46.931) Prec@5 77.500 (77.425) Epoch: [41][9150/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 2.1957 (2.0671) Prec@1 46.875 (46.931) Prec@5 73.125 (77.422) Epoch: [41][9160/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 1.8689 (2.0671) Prec@1 51.250 (46.931) Prec@5 82.500 (77.421) Epoch: [41][9170/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 2.2062 (2.0671) Prec@1 41.875 (46.932) Prec@5 78.125 (77.422) Epoch: [41][9180/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 2.0664 (2.0671) Prec@1 47.500 (46.931) Prec@5 75.000 (77.421) Epoch: [41][9190/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 2.0650 (2.0671) Prec@1 46.250 (46.931) Prec@5 74.375 (77.421) Epoch: [41][9200/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 2.0478 (2.0670) Prec@1 46.875 (46.933) Prec@5 81.250 (77.423) Epoch: [41][9210/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 2.1152 (2.0671) Prec@1 44.375 (46.932) Prec@5 76.250 (77.422) Epoch: [41][9220/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.9333 (2.0671) Prec@1 48.750 (46.931) Prec@5 81.250 (77.423) Epoch: [41][9230/11272] Time 0.751 (0.793) Data 0.002 (0.002) Loss 2.0441 (2.0671) Prec@1 50.000 (46.932) Prec@5 77.500 (77.423) Epoch: [41][9240/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 2.2479 (2.0672) Prec@1 42.500 (46.929) Prec@5 76.875 (77.422) Epoch: [41][9250/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.1136 (2.0672) Prec@1 45.625 (46.930) Prec@5 76.875 (77.422) Epoch: [41][9260/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 2.0707 (2.0672) Prec@1 46.875 (46.929) Prec@5 77.500 (77.422) Epoch: [41][9270/11272] Time 0.776 (0.793) Data 0.002 (0.002) Loss 1.8466 (2.0671) Prec@1 53.125 (46.930) Prec@5 80.625 (77.423) Epoch: [41][9280/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.2335 (2.0672) Prec@1 46.250 (46.928) Prec@5 76.250 (77.423) Epoch: [41][9290/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 2.2015 (2.0672) Prec@1 45.000 (46.928) Prec@5 74.375 (77.423) Epoch: [41][9300/11272] Time 0.730 (0.793) Data 0.003 (0.002) Loss 2.2224 (2.0673) Prec@1 45.625 (46.927) Prec@5 75.000 (77.422) Epoch: [41][9310/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.9513 (2.0673) Prec@1 46.250 (46.926) Prec@5 80.000 (77.422) Epoch: [41][9320/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 2.0906 (2.0674) Prec@1 46.875 (46.926) Prec@5 78.125 (77.420) Epoch: [41][9330/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 2.0969 (2.0674) Prec@1 47.500 (46.926) Prec@5 78.125 (77.421) Epoch: [41][9340/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 2.0598 (2.0674) Prec@1 45.625 (46.925) Prec@5 77.500 (77.421) Epoch: [41][9350/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.3187 (2.0675) Prec@1 37.500 (46.922) Prec@5 73.125 (77.421) Epoch: [41][9360/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.9294 (2.0674) Prec@1 44.375 (46.921) Prec@5 84.375 (77.423) Epoch: [41][9370/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 2.1614 (2.0674) Prec@1 46.250 (46.921) Prec@5 76.250 (77.423) Epoch: [41][9380/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.9534 (2.0674) Prec@1 48.750 (46.921) Prec@5 78.125 (77.422) Epoch: [41][9390/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.9883 (2.0674) Prec@1 48.750 (46.920) Prec@5 78.125 (77.422) Epoch: [41][9400/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.8684 (2.0674) Prec@1 50.625 (46.921) Prec@5 83.125 (77.422) Epoch: [41][9410/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 2.3634 (2.0674) Prec@1 42.500 (46.919) Prec@5 71.250 (77.422) Epoch: [41][9420/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.3106 (2.0675) Prec@1 48.750 (46.919) Prec@5 74.375 (77.420) Epoch: [41][9430/11272] Time 0.875 (0.793) Data 0.001 (0.002) Loss 2.0339 (2.0674) Prec@1 46.250 (46.921) Prec@5 80.625 (77.421) Epoch: [41][9440/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 2.1376 (2.0675) Prec@1 46.875 (46.920) Prec@5 73.750 (77.420) Epoch: [41][9450/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 2.1512 (2.0676) Prec@1 43.125 (46.918) Prec@5 77.500 (77.418) Epoch: [41][9460/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1091 (2.0676) Prec@1 46.875 (46.916) Prec@5 75.625 (77.418) Epoch: [41][9470/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 2.3391 (2.0677) Prec@1 42.500 (46.914) Prec@5 72.500 (77.416) Epoch: [41][9480/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0654 (2.0678) Prec@1 48.125 (46.912) Prec@5 76.250 (77.414) Epoch: [41][9490/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 2.0044 (2.0678) Prec@1 48.750 (46.913) Prec@5 76.250 (77.413) Epoch: [41][9500/11272] Time 0.766 (0.793) Data 0.002 (0.002) Loss 2.1921 (2.0678) Prec@1 45.000 (46.912) Prec@5 77.500 (77.412) Epoch: [41][9510/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 2.0969 (2.0678) Prec@1 48.750 (46.912) Prec@5 81.250 (77.412) Epoch: [41][9520/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 2.2335 (2.0678) Prec@1 43.750 (46.913) Prec@5 72.500 (77.412) Epoch: [41][9530/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.9874 (2.0679) Prec@1 48.125 (46.909) Prec@5 79.375 (77.409) Epoch: [41][9540/11272] Time 0.751 (0.793) Data 0.002 (0.002) Loss 1.9961 (2.0680) Prec@1 48.750 (46.908) Prec@5 78.125 (77.408) Epoch: [41][9550/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.9246 (2.0679) Prec@1 53.125 (46.908) Prec@5 76.875 (77.407) Epoch: [41][9560/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 2.2563 (2.0681) Prec@1 43.125 (46.905) Prec@5 73.750 (77.405) Epoch: [41][9570/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.8947 (2.0680) Prec@1 50.625 (46.906) Prec@5 81.250 (77.406) Epoch: [41][9580/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 2.1768 (2.0680) Prec@1 39.375 (46.905) Prec@5 79.375 (77.406) Epoch: [41][9590/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 2.0778 (2.0681) Prec@1 46.875 (46.903) Prec@5 76.875 (77.406) Epoch: [41][9600/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 2.3455 (2.0681) Prec@1 41.875 (46.901) Prec@5 70.000 (77.406) Epoch: [41][9610/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.8456 (2.0681) Prec@1 48.750 (46.900) Prec@5 83.750 (77.407) Epoch: [41][9620/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 1.9313 (2.0681) Prec@1 49.375 (46.900) Prec@5 79.375 (77.408) Epoch: [41][9630/11272] Time 0.874 (0.793) Data 0.001 (0.002) Loss 2.2750 (2.0682) Prec@1 38.750 (46.899) Prec@5 73.125 (77.407) Epoch: [41][9640/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.2690 (2.0683) Prec@1 41.250 (46.898) Prec@5 76.250 (77.406) Epoch: [41][9650/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 2.1880 (2.0683) Prec@1 41.875 (46.897) Prec@5 73.750 (77.406) Epoch: [41][9660/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 2.0812 (2.0683) Prec@1 43.750 (46.898) Prec@5 79.375 (77.406) Epoch: [41][9670/11272] Time 0.805 (0.793) Data 0.001 (0.002) Loss 1.9465 (2.0683) Prec@1 52.500 (46.901) Prec@5 81.875 (77.408) Epoch: [41][9680/11272] Time 0.753 (0.793) Data 0.002 (0.002) Loss 1.5198 (2.0682) Prec@1 61.875 (46.902) Prec@5 84.375 (77.407) Epoch: [41][9690/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 2.1943 (2.0683) Prec@1 45.625 (46.903) Prec@5 71.875 (77.406) Epoch: [41][9700/11272] Time 0.891 (0.793) Data 0.002 (0.002) Loss 1.9784 (2.0683) Prec@1 46.250 (46.901) Prec@5 78.125 (77.406) Epoch: [41][9710/11272] Time 0.786 (0.793) Data 0.002 (0.002) Loss 2.0067 (2.0683) Prec@1 46.875 (46.901) Prec@5 79.375 (77.406) Epoch: [41][9720/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 2.2353 (2.0682) Prec@1 45.000 (46.901) Prec@5 74.375 (77.408) Epoch: [41][9730/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 2.0265 (2.0682) Prec@1 50.000 (46.903) Prec@5 80.625 (77.409) Epoch: [41][9740/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.9555 (2.0681) Prec@1 49.375 (46.906) Prec@5 81.875 (77.411) Epoch: [41][9750/11272] Time 0.758 (0.793) Data 0.001 (0.002) Loss 2.3031 (2.0682) Prec@1 47.500 (46.905) Prec@5 76.250 (77.411) Epoch: [41][9760/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 2.0748 (2.0683) Prec@1 47.500 (46.905) Prec@5 76.250 (77.411) Epoch: [41][9770/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.0827 (2.0683) Prec@1 51.250 (46.905) Prec@5 76.875 (77.409) Epoch: [41][9780/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 1.9819 (2.0683) Prec@1 48.750 (46.907) Prec@5 77.500 (77.410) Epoch: [41][9790/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.0269 (2.0683) Prec@1 46.250 (46.908) Prec@5 78.125 (77.411) Epoch: [41][9800/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.1778 (2.0683) Prec@1 46.250 (46.908) Prec@5 76.875 (77.411) Epoch: [41][9810/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.0534 (2.0683) Prec@1 50.625 (46.907) Prec@5 77.500 (77.410) Epoch: [41][9820/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 2.0932 (2.0684) Prec@1 45.625 (46.907) Prec@5 80.625 (77.410) Epoch: [41][9830/11272] Time 0.761 (0.793) Data 0.001 (0.002) Loss 2.0610 (2.0684) Prec@1 47.500 (46.906) Prec@5 79.375 (77.408) Epoch: [41][9840/11272] Time 0.895 (0.793) Data 0.002 (0.002) Loss 1.9887 (2.0684) Prec@1 43.750 (46.908) Prec@5 83.125 (77.410) Epoch: [41][9850/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 2.1983 (2.0684) Prec@1 45.000 (46.905) Prec@5 76.250 (77.409) Epoch: [41][9860/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.0839 (2.0684) Prec@1 44.375 (46.905) Prec@5 78.750 (77.410) Epoch: [41][9870/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.3411 (2.0684) Prec@1 36.250 (46.903) Prec@5 75.625 (77.411) Epoch: [41][9880/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 2.1443 (2.0684) Prec@1 52.500 (46.906) Prec@5 78.125 (77.411) Epoch: [41][9890/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.0128 (2.0684) Prec@1 48.125 (46.907) Prec@5 77.500 (77.411) Epoch: [41][9900/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.9130 (2.0684) Prec@1 48.750 (46.906) Prec@5 81.875 (77.411) Epoch: [41][9910/11272] Time 0.766 (0.793) Data 0.001 (0.002) Loss 1.9154 (2.0684) Prec@1 51.875 (46.906) Prec@5 79.375 (77.410) Epoch: [41][9920/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 2.0879 (2.0684) Prec@1 48.125 (46.907) Prec@5 73.750 (77.409) Epoch: [41][9930/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.9867 (2.0684) Prec@1 48.125 (46.908) Prec@5 76.875 (77.411) Epoch: [41][9940/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 2.2242 (2.0684) Prec@1 42.500 (46.907) Prec@5 74.375 (77.411) Epoch: [41][9950/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 2.1387 (2.0684) Prec@1 47.500 (46.906) Prec@5 78.750 (77.411) Epoch: [41][9960/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 2.1433 (2.0684) Prec@1 42.500 (46.906) Prec@5 73.750 (77.411) Epoch: [41][9970/11272] Time 0.738 (0.793) Data 0.003 (0.002) Loss 1.8213 (2.0685) Prec@1 48.750 (46.904) Prec@5 81.250 (77.410) Epoch: [41][9980/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 2.2216 (2.0685) Prec@1 45.000 (46.903) Prec@5 78.125 (77.410) Epoch: [41][9990/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 2.1802 (2.0685) Prec@1 46.875 (46.902) Prec@5 72.500 (77.409) Epoch: [41][10000/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.8725 (2.0686) Prec@1 50.000 (46.902) Prec@5 82.500 (77.409) Epoch: [41][10010/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.0476 (2.0686) Prec@1 45.000 (46.901) Prec@5 76.875 (77.408) Epoch: [41][10020/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2456 (2.0687) Prec@1 46.875 (46.900) Prec@5 74.375 (77.408) Epoch: [41][10030/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.7322 (2.0686) Prec@1 54.375 (46.900) Prec@5 80.000 (77.408) Epoch: [41][10040/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0762 (2.0687) Prec@1 51.250 (46.899) Prec@5 76.875 (77.406) Epoch: [41][10050/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.2493 (2.0687) Prec@1 42.500 (46.897) Prec@5 73.750 (77.404) Epoch: [41][10060/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 2.3448 (2.0688) Prec@1 36.875 (46.895) Prec@5 73.750 (77.403) Epoch: [41][10070/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 2.1859 (2.0689) Prec@1 45.625 (46.895) Prec@5 74.375 (77.401) Epoch: [41][10080/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 2.1162 (2.0689) Prec@1 47.500 (46.895) Prec@5 76.250 (77.401) Epoch: [41][10090/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.1294 (2.0689) Prec@1 48.125 (46.896) Prec@5 75.625 (77.401) Epoch: [41][10100/11272] Time 0.804 (0.793) Data 0.001 (0.002) Loss 2.0873 (2.0689) Prec@1 49.375 (46.894) Prec@5 77.500 (77.400) Epoch: [41][10110/11272] Time 0.873 (0.793) Data 0.001 (0.002) Loss 2.3214 (2.0690) Prec@1 38.125 (46.894) Prec@5 71.250 (77.399) Epoch: [41][10120/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 2.1300 (2.0690) Prec@1 48.750 (46.894) Prec@5 81.250 (77.399) Epoch: [41][10130/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 2.5284 (2.0691) Prec@1 34.375 (46.893) Prec@5 69.375 (77.397) Epoch: [41][10140/11272] Time 0.840 (0.793) Data 0.002 (0.002) Loss 1.8278 (2.0692) Prec@1 51.250 (46.892) Prec@5 80.000 (77.395) Epoch: [41][10150/11272] Time 0.888 (0.793) Data 0.002 (0.002) Loss 2.0320 (2.0692) Prec@1 50.625 (46.891) Prec@5 78.750 (77.394) Epoch: [41][10160/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.1298 (2.0692) Prec@1 43.750 (46.891) Prec@5 76.875 (77.395) Epoch: [41][10170/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 2.1476 (2.0692) Prec@1 43.125 (46.890) Prec@5 73.750 (77.394) Epoch: [41][10180/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.8640 (2.0692) Prec@1 51.250 (46.890) Prec@5 81.875 (77.394) Epoch: [41][10190/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 2.1313 (2.0692) Prec@1 42.500 (46.889) Prec@5 77.500 (77.396) Epoch: [41][10200/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 2.2176 (2.0692) Prec@1 40.625 (46.890) Prec@5 73.750 (77.396) Epoch: [41][10210/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 2.2788 (2.0692) Prec@1 43.125 (46.888) Prec@5 73.125 (77.395) Epoch: [41][10220/11272] Time 0.833 (0.793) Data 0.002 (0.002) Loss 2.0036 (2.0692) Prec@1 48.125 (46.888) Prec@5 78.125 (77.396) Epoch: [41][10230/11272] Time 0.736 (0.793) Data 0.004 (0.002) Loss 2.1289 (2.0692) Prec@1 46.875 (46.888) Prec@5 75.000 (77.396) Epoch: [41][10240/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.9032 (2.0692) Prec@1 48.750 (46.889) Prec@5 80.000 (77.396) Epoch: [41][10250/11272] Time 0.855 (0.793) Data 0.001 (0.002) Loss 2.0257 (2.0692) Prec@1 46.875 (46.891) Prec@5 78.750 (77.396) Epoch: [41][10260/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 2.0333 (2.0692) Prec@1 48.125 (46.891) Prec@5 77.500 (77.397) Epoch: [41][10270/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.3235 (2.0692) Prec@1 45.625 (46.890) Prec@5 75.625 (77.396) Epoch: [41][10280/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 2.1430 (2.0691) Prec@1 48.125 (46.891) Prec@5 75.625 (77.397) Epoch: [41][10290/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 2.0382 (2.0691) Prec@1 43.125 (46.890) Prec@5 80.625 (77.397) Epoch: [41][10300/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 2.0767 (2.0691) Prec@1 47.500 (46.890) Prec@5 77.500 (77.397) Epoch: [41][10310/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.0293 (2.0691) Prec@1 46.875 (46.891) Prec@5 72.500 (77.398) Epoch: [41][10320/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2718 (2.0690) Prec@1 46.875 (46.894) Prec@5 73.125 (77.399) Epoch: [41][10330/11272] Time 0.865 (0.793) Data 0.001 (0.002) Loss 2.3059 (2.0690) Prec@1 41.875 (46.892) Prec@5 73.125 (77.399) Epoch: [41][10340/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.1741 (2.0691) Prec@1 42.500 (46.891) Prec@5 75.000 (77.398) Epoch: [41][10350/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 2.0204 (2.0691) Prec@1 46.875 (46.891) Prec@5 75.625 (77.398) Epoch: [41][10360/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 2.0296 (2.0691) Prec@1 53.125 (46.891) Prec@5 76.875 (77.398) Epoch: [41][10370/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.9950 (2.0692) Prec@1 43.750 (46.889) Prec@5 80.625 (77.397) Epoch: [41][10380/11272] Time 0.753 (0.793) Data 0.002 (0.002) Loss 2.0158 (2.0692) Prec@1 46.875 (46.887) Prec@5 76.250 (77.398) Epoch: [41][10390/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 2.2265 (2.0693) Prec@1 41.250 (46.886) Prec@5 76.875 (77.398) Epoch: [41][10400/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 2.1184 (2.0692) Prec@1 50.000 (46.888) Prec@5 76.875 (77.399) Epoch: [41][10410/11272] Time 0.865 (0.793) Data 0.002 (0.002) Loss 1.9786 (2.0692) Prec@1 44.375 (46.886) Prec@5 81.875 (77.400) Epoch: [41][10420/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0578 (2.0692) Prec@1 51.250 (46.886) Prec@5 79.375 (77.400) Epoch: [41][10430/11272] Time 0.750 (0.793) Data 0.001 (0.002) Loss 2.1995 (2.0693) Prec@1 45.625 (46.884) Prec@5 73.750 (77.397) Epoch: [41][10440/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 2.0125 (2.0693) Prec@1 50.000 (46.884) Prec@5 81.875 (77.398) Epoch: [41][10450/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 1.9960 (2.0693) Prec@1 47.500 (46.882) Prec@5 79.375 (77.396) Epoch: [41][10460/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 2.2677 (2.0693) Prec@1 42.500 (46.883) Prec@5 74.375 (77.396) Epoch: [41][10470/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.9234 (2.0694) Prec@1 53.125 (46.881) Prec@5 80.000 (77.395) Epoch: [41][10480/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 2.1966 (2.0695) Prec@1 42.500 (46.880) Prec@5 75.625 (77.393) Epoch: [41][10490/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.0770 (2.0695) Prec@1 46.875 (46.879) Prec@5 76.250 (77.393) Epoch: [41][10500/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 2.1239 (2.0696) Prec@1 44.375 (46.879) Prec@5 77.500 (77.392) Epoch: [41][10510/11272] Time 0.890 (0.793) Data 0.001 (0.002) Loss 2.3004 (2.0696) Prec@1 45.625 (46.878) Prec@5 71.875 (77.392) Epoch: [41][10520/11272] Time 0.816 (0.793) Data 0.001 (0.002) Loss 2.0763 (2.0696) Prec@1 46.875 (46.879) Prec@5 77.500 (77.392) Epoch: [41][10530/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 2.0810 (2.0696) Prec@1 46.875 (46.880) Prec@5 75.000 (77.392) Epoch: [41][10540/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.2010 (2.0696) Prec@1 45.000 (46.880) Prec@5 75.000 (77.392) Epoch: [41][10550/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 2.0951 (2.0696) Prec@1 45.625 (46.879) Prec@5 83.125 (77.392) Epoch: [41][10560/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 2.0123 (2.0697) Prec@1 46.875 (46.877) Prec@5 77.500 (77.392) Epoch: [41][10570/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 2.0798 (2.0697) Prec@1 43.750 (46.876) Prec@5 81.875 (77.393) Epoch: [41][10580/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 2.1586 (2.0697) Prec@1 36.875 (46.874) Prec@5 76.250 (77.392) Epoch: [41][10590/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 2.0036 (2.0697) Prec@1 47.500 (46.875) Prec@5 78.125 (77.392) Epoch: [41][10600/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 2.0399 (2.0697) Prec@1 49.375 (46.875) Prec@5 76.875 (77.393) Epoch: [41][10610/11272] Time 0.768 (0.793) Data 0.001 (0.002) Loss 2.0567 (2.0697) Prec@1 46.250 (46.876) Prec@5 79.375 (77.394) Epoch: [41][10620/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 2.0989 (2.0697) Prec@1 49.375 (46.877) Prec@5 77.500 (77.394) Epoch: [41][10630/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 2.2214 (2.0697) Prec@1 45.000 (46.878) Prec@5 78.125 (77.396) Epoch: [41][10640/11272] Time 0.753 (0.793) Data 0.001 (0.002) Loss 1.9508 (2.0697) Prec@1 47.500 (46.876) Prec@5 81.250 (77.395) Epoch: [41][10650/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 2.1268 (2.0698) Prec@1 48.750 (46.877) Prec@5 78.125 (77.394) Epoch: [41][10660/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 2.1242 (2.0697) Prec@1 45.000 (46.878) Prec@5 76.875 (77.395) Epoch: [41][10670/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 2.0814 (2.0698) Prec@1 46.875 (46.877) Prec@5 77.500 (77.393) Epoch: [41][10680/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.0408 (2.0697) Prec@1 47.500 (46.878) Prec@5 80.000 (77.395) Epoch: [41][10690/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.8927 (2.0697) Prec@1 50.625 (46.877) Prec@5 82.500 (77.396) Epoch: [41][10700/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.8114 (2.0698) Prec@1 54.375 (46.875) Prec@5 86.250 (77.395) Epoch: [41][10710/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.0826 (2.0698) Prec@1 46.875 (46.874) Prec@5 78.750 (77.396) Epoch: [41][10720/11272] Time 0.749 (0.793) Data 0.002 (0.002) Loss 2.0074 (2.0698) Prec@1 46.875 (46.875) Prec@5 76.250 (77.397) Epoch: [41][10730/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.8594 (2.0698) Prec@1 51.875 (46.876) Prec@5 80.000 (77.396) Epoch: [41][10740/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 2.0279 (2.0698) Prec@1 48.750 (46.874) Prec@5 77.500 (77.396) Epoch: [41][10750/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 2.0989 (2.0698) Prec@1 49.375 (46.875) Prec@5 78.750 (77.397) Epoch: [41][10760/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 2.2060 (2.0698) Prec@1 41.875 (46.873) Prec@5 73.750 (77.397) Epoch: [41][10770/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 2.4931 (2.0699) Prec@1 42.500 (46.873) Prec@5 70.000 (77.396) Epoch: [41][10780/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 2.1196 (2.0699) Prec@1 47.500 (46.873) Prec@5 76.875 (77.396) Epoch: [41][10790/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 2.0049 (2.0700) Prec@1 51.875 (46.872) Prec@5 76.875 (77.395) Epoch: [41][10800/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 2.1559 (2.0701) Prec@1 51.250 (46.871) Prec@5 76.250 (77.394) Epoch: [41][10810/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 2.1004 (2.0701) Prec@1 49.375 (46.870) Prec@5 76.875 (77.393) Epoch: [41][10820/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 2.0146 (2.0701) Prec@1 49.375 (46.870) Prec@5 78.750 (77.393) Epoch: [41][10830/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.0611 (2.0702) Prec@1 48.125 (46.868) Prec@5 78.750 (77.392) Epoch: [41][10840/11272] Time 0.700 (0.793) Data 0.001 (0.002) Loss 2.0780 (2.0702) Prec@1 47.500 (46.868) Prec@5 78.125 (77.393) Epoch: [41][10850/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.9567 (2.0702) Prec@1 50.000 (46.868) Prec@5 78.125 (77.393) Epoch: [41][10860/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 2.1055 (2.0702) Prec@1 45.000 (46.867) Prec@5 80.000 (77.393) Epoch: [41][10870/11272] Time 0.777 (0.793) Data 0.002 (0.002) Loss 2.4644 (2.0703) Prec@1 41.875 (46.867) Prec@5 68.750 (77.392) Epoch: [41][10880/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.9766 (2.0702) Prec@1 46.250 (46.867) Prec@5 83.125 (77.393) Epoch: [41][10890/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 1.9569 (2.0702) Prec@1 52.500 (46.868) Prec@5 80.625 (77.394) Epoch: [41][10900/11272] Time 0.752 (0.793) Data 0.003 (0.002) Loss 2.3034 (2.0703) Prec@1 43.750 (46.866) Prec@5 72.500 (77.392) Epoch: [41][10910/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.2727 (2.0704) Prec@1 42.500 (46.864) Prec@5 74.375 (77.390) Epoch: [41][10920/11272] Time 0.873 (0.793) Data 0.001 (0.002) Loss 2.3037 (2.0704) Prec@1 46.875 (46.863) Prec@5 75.625 (77.390) Epoch: [41][10930/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 2.0965 (2.0704) Prec@1 43.750 (46.863) Prec@5 80.625 (77.389) Epoch: [41][10940/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 2.0524 (2.0705) Prec@1 38.750 (46.860) Prec@5 77.500 (77.389) Epoch: [41][10950/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.8634 (2.0705) Prec@1 50.000 (46.860) Prec@5 81.250 (77.389) Epoch: [41][10960/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.9832 (2.0704) Prec@1 48.125 (46.861) Prec@5 79.375 (77.390) Epoch: [41][10970/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 2.2119 (2.0705) Prec@1 41.875 (46.860) Prec@5 72.500 (77.390) Epoch: [41][10980/11272] Time 0.785 (0.793) Data 0.002 (0.002) Loss 2.0151 (2.0705) Prec@1 42.500 (46.859) Prec@5 80.625 (77.389) Epoch: [41][10990/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 2.2553 (2.0706) Prec@1 41.250 (46.857) Prec@5 71.875 (77.388) Epoch: [41][11000/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 2.0482 (2.0706) Prec@1 45.625 (46.855) Prec@5 78.125 (77.388) Epoch: [41][11010/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.9968 (2.0706) Prec@1 43.125 (46.857) Prec@5 78.125 (77.389) Epoch: [41][11020/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.1491 (2.0705) Prec@1 41.250 (46.857) Prec@5 77.500 (77.390) Epoch: [41][11030/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 2.1381 (2.0705) Prec@1 43.750 (46.856) Prec@5 78.750 (77.390) Epoch: [41][11040/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 2.2217 (2.0706) Prec@1 41.250 (46.854) Prec@5 75.625 (77.388) Epoch: [41][11050/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 2.3934 (2.0706) Prec@1 44.375 (46.854) Prec@5 69.375 (77.386) Epoch: [41][11060/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.0510 (2.0706) Prec@1 48.750 (46.855) Prec@5 76.875 (77.387) Epoch: [41][11070/11272] Time 0.886 (0.793) Data 0.001 (0.002) Loss 2.0833 (2.0706) Prec@1 45.625 (46.855) Prec@5 75.000 (77.386) Epoch: [41][11080/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 2.0929 (2.0706) Prec@1 50.000 (46.853) Prec@5 76.250 (77.387) Epoch: [41][11090/11272] Time 0.764 (0.793) Data 0.002 (0.002) Loss 2.2036 (2.0706) Prec@1 45.625 (46.852) Prec@5 76.250 (77.386) Epoch: [41][11100/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 2.0987 (2.0706) Prec@1 43.125 (46.852) Prec@5 80.000 (77.385) Epoch: [41][11110/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 1.7361 (2.0706) Prec@1 53.750 (46.852) Prec@5 82.500 (77.385) Epoch: [41][11120/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.8954 (2.0707) Prec@1 52.500 (46.852) Prec@5 81.250 (77.383) Epoch: [41][11130/11272] Time 0.759 (0.793) Data 0.001 (0.002) Loss 2.1168 (2.0707) Prec@1 46.250 (46.851) Prec@5 76.250 (77.382) Epoch: [41][11140/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 1.9669 (2.0707) Prec@1 46.250 (46.852) Prec@5 79.375 (77.382) Epoch: [41][11150/11272] Time 0.901 (0.793) Data 0.001 (0.002) Loss 1.8223 (2.0706) Prec@1 49.375 (46.854) Prec@5 78.125 (77.384) Epoch: [41][11160/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.8891 (2.0705) Prec@1 49.375 (46.855) Prec@5 80.625 (77.385) Epoch: [41][11170/11272] Time 0.696 (0.793) Data 0.001 (0.002) Loss 2.0101 (2.0705) Prec@1 45.625 (46.856) Prec@5 79.375 (77.386) Epoch: [41][11180/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 2.0690 (2.0705) Prec@1 47.500 (46.856) Prec@5 74.375 (77.385) Epoch: [41][11190/11272] Time 0.865 (0.793) Data 0.001 (0.002) Loss 2.2165 (2.0706) Prec@1 43.125 (46.856) Prec@5 73.125 (77.384) Epoch: [41][11200/11272] Time 0.781 (0.793) Data 0.002 (0.002) Loss 1.9335 (2.0706) Prec@1 44.375 (46.855) Prec@5 84.375 (77.385) Epoch: [41][11210/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 2.0958 (2.0706) Prec@1 45.000 (46.856) Prec@5 76.875 (77.384) Epoch: [41][11220/11272] Time 0.818 (0.793) Data 0.001 (0.002) Loss 1.9397 (2.0706) Prec@1 51.875 (46.856) Prec@5 78.125 (77.385) Epoch: [41][11230/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.9979 (2.0705) Prec@1 47.500 (46.857) Prec@5 79.375 (77.387) Epoch: [41][11240/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 2.2161 (2.0705) Prec@1 44.375 (46.858) Prec@5 74.375 (77.386) Epoch: [41][11250/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 2.2024 (2.0707) Prec@1 43.125 (46.856) Prec@5 75.625 (77.385) Epoch: [41][11260/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 2.0606 (2.0707) Prec@1 46.250 (46.855) Prec@5 81.250 (77.385) Epoch: [41][11270/11272] Time 0.782 (0.793) Data 0.000 (0.002) Loss 2.1028 (2.0707) Prec@1 50.625 (46.857) Prec@5 71.250 (77.385) Test: [0/229] Time 1.622 (1.622) Loss 1.3295 (1.3295) Prec@1 60.000 (60.000) Prec@5 93.750 (93.750) Test: [10/229] Time 0.403 (0.505) Loss 1.2562 (1.7866) Prec@1 64.375 (52.784) Prec@5 95.000 (84.034) Test: [20/229] Time 0.384 (0.451) Loss 2.1885 (1.8493) Prec@1 43.750 (50.804) Prec@5 76.875 (83.065) Test: [30/229] Time 0.410 (0.429) Loss 1.9511 (1.7461) Prec@1 45.000 (53.750) Prec@5 85.000 (84.315) Test: [40/229] Time 0.356 (0.419) Loss 0.5368 (1.7396) Prec@1 87.500 (53.780) Prec@5 94.375 (84.207) Test: [50/229] Time 0.410 (0.410) Loss 2.5976 (1.7881) Prec@1 29.375 (52.806) Prec@5 75.000 (82.953) Test: [60/229] Time 0.350 (0.404) Loss 2.0291 (1.7801) Prec@1 43.125 (52.715) Prec@5 82.500 (83.166) Test: [70/229] Time 0.362 (0.401) Loss 1.1645 (1.7887) Prec@1 71.250 (52.491) Prec@5 88.125 (83.116) Test: [80/229] Time 0.374 (0.398) Loss 2.2008 (1.8119) Prec@1 35.625 (51.667) Prec@5 80.625 (82.971) Test: [90/229] Time 0.360 (0.398) Loss 1.6434 (1.8186) Prec@1 61.875 (51.710) Prec@5 80.625 (82.967) Test: [100/229] Time 0.415 (0.397) Loss 2.3310 (1.8120) Prec@1 46.875 (52.073) Prec@5 81.250 (83.144) Test: [110/229] Time 0.341 (0.396) Loss 1.4606 (1.7868) Prec@1 52.500 (52.573) Prec@5 88.750 (83.412) Test: [120/229] Time 0.432 (0.395) Loss 3.0819 (1.8055) Prec@1 21.875 (51.999) Prec@5 68.750 (83.110) Test: [130/229] Time 0.332 (0.393) Loss 1.3649 (1.7896) Prec@1 59.375 (52.338) Prec@5 91.875 (83.387) Test: [140/229] Time 0.353 (0.393) Loss 1.8500 (1.8040) Prec@1 52.500 (52.057) Prec@5 81.875 (83.231) Test: [150/229] Time 0.386 (0.392) Loss 1.2131 (1.8148) Prec@1 75.625 (51.772) Prec@5 86.875 (83.146) Test: [160/229] Time 0.360 (0.391) Loss 1.7811 (1.8163) Prec@1 53.125 (51.592) Prec@5 85.000 (83.164) Test: [170/229] Time 0.407 (0.390) Loss 1.6446 (1.8320) Prec@1 56.875 (51.100) Prec@5 86.250 (82.957) Test: [180/229] Time 0.336 (0.389) Loss 2.5399 (1.8410) Prec@1 28.750 (50.981) Prec@5 71.250 (82.731) Test: [190/229] Time 0.291 (0.388) Loss 1.5156 (1.8305) Prec@1 59.375 (51.342) Prec@5 90.000 (82.817) Test: [200/229] Time 0.411 (0.388) Loss 2.0180 (1.8227) Prec@1 41.250 (51.365) Prec@5 80.000 (83.025) Test: [210/229] Time 0.355 (0.387) Loss 1.2062 (1.8117) Prec@1 64.375 (51.694) Prec@5 93.125 (83.184) Test: [220/229] Time 0.420 (0.387) Loss 1.5624 (1.8020) Prec@1 62.500 (52.076) Prec@5 85.625 (83.221) * Prec@1 52.449 Prec@5 83.283 Epoch: [42][0/11272] Time 3.138 (3.138) Data 2.206 (2.206) Loss 1.9944 (1.9944) Prec@1 49.375 (49.375) Prec@5 77.500 (77.500) Epoch: [42][10/11272] Time 0.722 (1.002) Data 0.001 (0.202) Loss 1.8740 (1.9557) Prec@1 50.000 (49.659) Prec@5 81.250 (79.375) Epoch: [42][20/11272] Time 0.736 (0.894) Data 0.001 (0.106) Loss 2.1255 (2.0141) Prec@1 45.625 (47.887) Prec@5 76.875 (78.542) Epoch: [42][30/11272] Time 0.830 (0.860) Data 0.001 (0.073) Loss 1.6123 (1.9998) Prec@1 55.000 (48.327) Prec@5 86.250 (78.790) Epoch: [42][40/11272] Time 0.839 (0.843) Data 0.001 (0.055) Loss 2.0748 (2.0194) Prec@1 48.125 (48.262) Prec@5 73.750 (78.399) Epoch: [42][50/11272] Time 0.759 (0.835) Data 0.002 (0.045) Loss 1.9493 (2.0258) Prec@1 50.625 (48.100) Prec@5 80.625 (78.370) Epoch: [42][60/11272] Time 0.733 (0.826) Data 0.001 (0.038) Loss 1.9585 (2.0272) Prec@1 48.125 (48.238) Prec@5 80.625 (78.268) Epoch: [42][70/11272] Time 0.831 (0.821) Data 0.001 (0.033) Loss 2.0805 (2.0260) Prec@1 45.625 (48.090) Prec@5 75.625 (78.336) Epoch: [42][80/11272] Time 0.803 (0.817) Data 0.001 (0.029) Loss 2.0612 (2.0260) Prec@1 49.375 (48.040) Prec@5 76.875 (78.326) Epoch: [42][90/11272] Time 0.742 (0.813) Data 0.001 (0.026) Loss 2.1961 (2.0358) Prec@1 44.375 (47.837) Prec@5 76.250 (78.146) Epoch: [42][100/11272] Time 0.853 (0.811) Data 0.001 (0.023) Loss 2.1479 (2.0275) Prec@1 43.125 (48.026) Prec@5 74.375 (78.304) Epoch: [42][110/11272] Time 0.831 (0.809) Data 0.001 (0.021) Loss 1.9283 (2.0252) Prec@1 54.375 (48.012) Prec@5 79.375 (78.328) Epoch: [42][120/11272] Time 0.726 (0.807) Data 0.001 (0.020) Loss 2.1769 (2.0247) Prec@1 42.500 (48.001) Prec@5 75.625 (78.306) Epoch: [42][130/11272] Time 0.767 (0.806) Data 0.002 (0.018) Loss 2.3863 (2.0274) Prec@1 45.625 (47.934) Prec@5 70.625 (78.240) Epoch: [42][140/11272] Time 0.855 (0.804) Data 0.001 (0.017) Loss 2.0016 (2.0267) Prec@1 46.875 (47.926) Prec@5 82.500 (78.191) Epoch: [42][150/11272] Time 0.825 (0.803) Data 0.001 (0.016) Loss 2.3087 (2.0311) Prec@1 42.500 (47.732) Prec@5 75.625 (78.129) Epoch: [42][160/11272] Time 0.713 (0.801) Data 0.002 (0.015) Loss 2.1106 (2.0303) Prec@1 43.125 (47.714) Prec@5 77.500 (78.137) Epoch: [42][170/11272] Time 0.730 (0.801) Data 0.001 (0.014) Loss 1.9486 (2.0264) Prec@1 51.250 (47.836) Prec@5 79.375 (78.213) Epoch: [42][180/11272] Time 0.879 (0.801) Data 0.002 (0.014) Loss 1.9409 (2.0252) Prec@1 53.125 (47.873) Prec@5 76.250 (78.201) Epoch: [42][190/11272] Time 0.811 (0.800) Data 0.001 (0.013) Loss 2.0562 (2.0249) Prec@1 46.250 (47.906) Prec@5 75.625 (78.154) Epoch: [42][200/11272] Time 0.739 (0.799) Data 0.001 (0.012) Loss 2.0585 (2.0281) Prec@1 46.875 (47.817) Prec@5 81.875 (78.128) Epoch: [42][210/11272] Time 0.724 (0.799) Data 0.001 (0.012) Loss 1.8803 (2.0280) Prec@1 48.125 (47.805) Prec@5 80.000 (78.078) Epoch: [42][220/11272] Time 0.833 (0.799) Data 0.002 (0.011) Loss 1.8068 (2.0230) Prec@1 52.500 (47.941) Prec@5 82.500 (78.136) Epoch: [42][230/11272] Time 0.725 (0.798) Data 0.002 (0.011) Loss 2.0760 (2.0214) Prec@1 46.875 (47.898) Prec@5 80.000 (78.209) Epoch: [42][240/11272] Time 0.725 (0.798) Data 0.001 (0.011) Loss 2.1049 (2.0210) Prec@1 48.750 (47.894) Prec@5 77.500 (78.237) Epoch: [42][250/11272] Time 0.870 (0.797) Data 0.002 (0.010) Loss 2.2105 (2.0230) Prec@1 47.500 (47.878) Prec@5 78.750 (78.240) Epoch: [42][260/11272] Time 0.869 (0.797) Data 0.002 (0.010) Loss 1.9240 (2.0279) Prec@1 50.000 (47.833) Prec@5 81.875 (78.180) Epoch: [42][270/11272] Time 0.730 (0.797) Data 0.001 (0.010) Loss 2.2338 (2.0293) Prec@1 40.625 (47.834) Prec@5 75.625 (78.107) Epoch: [42][280/11272] Time 0.768 (0.797) Data 0.001 (0.009) Loss 2.0676 (2.0325) Prec@1 46.250 (47.709) Prec@5 79.375 (78.063) Epoch: [42][290/11272] Time 0.847 (0.797) Data 0.002 (0.009) Loss 2.3109 (2.0334) Prec@1 47.500 (47.693) Prec@5 73.125 (78.091) Epoch: [42][300/11272] Time 0.834 (0.796) Data 0.001 (0.009) Loss 2.0847 (2.0335) Prec@1 48.125 (47.691) Prec@5 75.625 (78.094) Epoch: [42][310/11272] Time 0.752 (0.796) Data 0.001 (0.009) Loss 2.1064 (2.0340) Prec@1 48.125 (47.723) Prec@5 76.250 (78.091) Epoch: [42][320/11272] Time 0.737 (0.796) Data 0.001 (0.008) Loss 1.9225 (2.0339) Prec@1 48.750 (47.716) Prec@5 78.125 (78.096) Epoch: [42][330/11272] Time 0.818 (0.796) Data 0.001 (0.008) Loss 2.2590 (2.0339) Prec@1 44.375 (47.687) Prec@5 74.375 (78.093) Epoch: [42][340/11272] Time 0.857 (0.796) Data 0.002 (0.008) Loss 2.1463 (2.0355) Prec@1 46.875 (47.672) Prec@5 77.500 (78.048) Epoch: [42][350/11272] Time 0.731 (0.795) Data 0.001 (0.008) Loss 2.0401 (2.0349) Prec@1 50.000 (47.678) Prec@5 80.625 (78.068) Epoch: [42][360/11272] Time 0.858 (0.796) Data 0.001 (0.008) Loss 1.8302 (2.0345) Prec@1 54.375 (47.671) Prec@5 80.625 (78.083) Epoch: [42][370/11272] Time 0.828 (0.796) Data 0.001 (0.007) Loss 2.0571 (2.0372) Prec@1 47.500 (47.638) Prec@5 79.375 (78.027) Epoch: [42][380/11272] Time 0.721 (0.795) Data 0.001 (0.007) Loss 1.8528 (2.0353) Prec@1 53.750 (47.664) Prec@5 82.500 (78.073) Epoch: [42][390/11272] Time 0.732 (0.795) Data 0.001 (0.007) Loss 2.1591 (2.0361) Prec@1 45.625 (47.674) Prec@5 80.000 (78.061) Epoch: [42][400/11272] Time 0.834 (0.795) Data 0.001 (0.007) Loss 2.1003 (2.0363) Prec@1 48.750 (47.689) Prec@5 77.500 (78.053) Epoch: [42][410/11272] Time 0.849 (0.795) Data 0.001 (0.007) Loss 2.1465 (2.0384) Prec@1 49.375 (47.663) Prec@5 77.500 (78.041) Epoch: [42][420/11272] Time 0.742 (0.795) Data 0.002 (0.007) Loss 2.0823 (2.0376) Prec@1 48.750 (47.684) Prec@5 78.125 (78.064) Epoch: [42][430/11272] Time 0.730 (0.794) Data 0.002 (0.007) Loss 2.2049 (2.0376) Prec@1 45.625 (47.673) Prec@5 75.625 (78.058) Epoch: [42][440/11272] Time 0.856 (0.794) Data 0.002 (0.006) Loss 1.8870 (2.0376) Prec@1 48.750 (47.681) Prec@5 76.875 (78.064) Epoch: [42][450/11272] Time 0.808 (0.794) Data 0.001 (0.006) Loss 1.9707 (2.0385) Prec@1 46.250 (47.695) Prec@5 78.125 (78.049) Epoch: [42][460/11272] Time 0.750 (0.794) Data 0.001 (0.006) Loss 2.0594 (2.0393) Prec@1 47.500 (47.694) Prec@5 75.000 (78.023) Epoch: [42][470/11272] Time 0.732 (0.794) Data 0.001 (0.006) Loss 2.1520 (2.0387) Prec@1 43.750 (47.675) Prec@5 70.625 (78.014) Epoch: [42][480/11272] Time 0.840 (0.794) Data 0.001 (0.006) Loss 1.9308 (2.0403) Prec@1 50.625 (47.614) Prec@5 78.125 (77.960) Epoch: [42][490/11272] Time 0.830 (0.794) Data 0.001 (0.006) Loss 2.0372 (2.0408) Prec@1 48.750 (47.594) Prec@5 80.000 (77.920) Epoch: [42][500/11272] Time 0.733 (0.794) Data 0.001 (0.006) Loss 2.0697 (2.0412) Prec@1 42.500 (47.554) Prec@5 77.500 (77.924) Epoch: [42][510/11272] Time 0.845 (0.793) Data 0.001 (0.006) Loss 2.0702 (2.0407) Prec@1 50.000 (47.565) Prec@5 73.750 (77.926) Epoch: [42][520/11272] Time 0.853 (0.793) Data 0.001 (0.006) Loss 1.9307 (2.0406) Prec@1 46.250 (47.579) Prec@5 81.875 (77.922) Epoch: [42][530/11272] Time 0.738 (0.793) Data 0.001 (0.006) Loss 2.0119 (2.0414) Prec@1 50.625 (47.533) Prec@5 80.000 (77.921) Epoch: [42][540/11272] Time 0.728 (0.793) Data 0.001 (0.006) Loss 2.3111 (2.0421) Prec@1 47.500 (47.531) Prec@5 70.625 (77.910) Epoch: [42][550/11272] Time 0.845 (0.793) Data 0.001 (0.005) Loss 1.7546 (2.0410) Prec@1 51.250 (47.564) Prec@5 83.125 (77.912) Epoch: [42][560/11272] Time 0.804 (0.793) Data 0.002 (0.005) Loss 2.2166 (2.0421) Prec@1 43.125 (47.546) Prec@5 76.250 (77.894) Epoch: [42][570/11272] Time 0.826 (0.793) Data 0.002 (0.005) Loss 2.1111 (2.0417) Prec@1 48.750 (47.581) Prec@5 77.500 (77.903) Epoch: [42][580/11272] Time 0.728 (0.793) Data 0.001 (0.005) Loss 1.9106 (2.0412) Prec@1 53.125 (47.599) Prec@5 78.750 (77.899) Epoch: [42][590/11272] Time 0.870 (0.793) Data 0.001 (0.005) Loss 1.7705 (2.0414) Prec@1 54.375 (47.607) Prec@5 80.000 (77.897) Epoch: [42][600/11272] Time 0.821 (0.793) Data 0.001 (0.005) Loss 2.0787 (2.0422) Prec@1 45.625 (47.570) Prec@5 76.250 (77.884) Epoch: [42][610/11272] Time 0.737 (0.792) Data 0.001 (0.005) Loss 2.1819 (2.0424) Prec@1 47.500 (47.550) Prec@5 73.750 (77.864) Epoch: [42][620/11272] Time 0.733 (0.793) Data 0.001 (0.005) Loss 1.6534 (2.0425) Prec@1 55.000 (47.537) Prec@5 84.375 (77.859) Epoch: [42][630/11272] Time 0.832 (0.792) Data 0.002 (0.005) Loss 2.2059 (2.0421) Prec@1 45.625 (47.546) Prec@5 71.250 (77.846) Epoch: [42][640/11272] Time 0.736 (0.792) Data 0.001 (0.005) Loss 2.1876 (2.0424) Prec@1 43.750 (47.520) Prec@5 73.750 (77.852) Epoch: [42][650/11272] Time 0.733 (0.792) Data 0.001 (0.005) Loss 1.9524 (2.0427) Prec@1 46.875 (47.487) Prec@5 77.500 (77.850) Epoch: [42][660/11272] Time 0.870 (0.793) Data 0.002 (0.005) Loss 1.9074 (2.0430) Prec@1 49.375 (47.473) Prec@5 77.500 (77.854) Epoch: [42][670/11272] Time 0.840 (0.792) Data 0.001 (0.005) Loss 1.9619 (2.0434) Prec@1 46.875 (47.451) Prec@5 80.625 (77.842) Epoch: [42][680/11272] Time 0.727 (0.792) Data 0.001 (0.005) Loss 1.9864 (2.0440) Prec@1 46.875 (47.416) Prec@5 81.250 (77.832) Epoch: [42][690/11272] Time 0.715 (0.792) Data 0.001 (0.005) Loss 2.0769 (2.0446) Prec@1 45.625 (47.387) Prec@5 78.125 (77.836) Epoch: [42][700/11272] Time 0.801 (0.792) Data 0.001 (0.005) Loss 2.0120 (2.0452) Prec@1 46.875 (47.377) Prec@5 81.875 (77.847) Epoch: [42][710/11272] Time 0.833 (0.792) Data 0.002 (0.005) Loss 2.0086 (2.0458) Prec@1 45.625 (47.355) Prec@5 77.500 (77.843) Epoch: [42][720/11272] Time 0.729 (0.792) Data 0.001 (0.004) Loss 1.9665 (2.0450) Prec@1 50.625 (47.398) Prec@5 77.500 (77.853) Epoch: [42][730/11272] Time 0.733 (0.792) Data 0.001 (0.004) Loss 1.9224 (2.0449) Prec@1 47.500 (47.401) Prec@5 80.625 (77.854) Epoch: [42][740/11272] Time 0.810 (0.792) Data 0.001 (0.004) Loss 1.8546 (2.0441) Prec@1 53.125 (47.422) Prec@5 80.000 (77.855) Epoch: [42][750/11272] Time 0.828 (0.792) Data 0.001 (0.004) Loss 1.9917 (2.0441) Prec@1 45.625 (47.408) Prec@5 80.000 (77.850) Epoch: [42][760/11272] Time 0.738 (0.792) Data 0.001 (0.004) Loss 1.9776 (2.0432) Prec@1 48.750 (47.411) Prec@5 79.375 (77.886) Epoch: [42][770/11272] Time 0.866 (0.792) Data 0.001 (0.004) Loss 2.4454 (2.0440) Prec@1 43.750 (47.385) Prec@5 71.875 (77.886) Epoch: [42][780/11272] Time 0.831 (0.792) Data 0.001 (0.004) Loss 2.2516 (2.0445) Prec@1 41.875 (47.398) Prec@5 72.500 (77.875) Epoch: [42][790/11272] Time 0.727 (0.792) Data 0.001 (0.004) Loss 1.8219 (2.0446) Prec@1 54.375 (47.393) Prec@5 83.125 (77.877) Epoch: [42][800/11272] Time 0.734 (0.792) Data 0.001 (0.004) Loss 2.1309 (2.0445) Prec@1 46.875 (47.392) Prec@5 76.250 (77.880) Epoch: [42][810/11272] Time 0.838 (0.792) Data 0.002 (0.004) Loss 2.0777 (2.0449) Prec@1 44.375 (47.394) Prec@5 75.000 (77.869) Epoch: [42][820/11272] Time 0.827 (0.792) Data 0.001 (0.004) Loss 1.9336 (2.0449) Prec@1 44.375 (47.384) Prec@5 81.875 (77.871) Epoch: [42][830/11272] Time 0.748 (0.792) Data 0.002 (0.004) Loss 2.2045 (2.0457) Prec@1 45.625 (47.366) Prec@5 75.625 (77.865) Epoch: [42][840/11272] Time 0.745 (0.792) Data 0.001 (0.004) Loss 1.9850 (2.0463) Prec@1 45.000 (47.355) Prec@5 77.500 (77.848) Epoch: [42][850/11272] Time 0.830 (0.792) Data 0.001 (0.004) Loss 1.9378 (2.0463) Prec@1 48.125 (47.346) Prec@5 80.625 (77.858) Epoch: [42][860/11272] Time 0.839 (0.792) Data 0.001 (0.004) Loss 1.9638 (2.0457) Prec@1 53.125 (47.364) Prec@5 78.750 (77.869) Epoch: [42][870/11272] Time 0.738 (0.792) Data 0.001 (0.004) Loss 2.1355 (2.0476) Prec@1 42.500 (47.305) Prec@5 76.250 (77.834) Epoch: [42][880/11272] Time 0.733 (0.792) Data 0.001 (0.004) Loss 2.2696 (2.0483) Prec@1 42.500 (47.286) Prec@5 76.875 (77.835) Epoch: [42][890/11272] Time 0.859 (0.792) Data 0.001 (0.004) Loss 1.9737 (2.0485) Prec@1 54.375 (47.297) Prec@5 75.000 (77.809) Epoch: [42][900/11272] Time 0.733 (0.792) Data 0.003 (0.004) Loss 2.0430 (2.0488) Prec@1 45.000 (47.285) Prec@5 80.000 (77.805) Epoch: [42][910/11272] Time 0.730 (0.792) Data 0.002 (0.004) Loss 2.2731 (2.0489) Prec@1 46.875 (47.279) Prec@5 71.250 (77.800) Epoch: [42][920/11272] Time 0.833 (0.792) Data 0.002 (0.004) Loss 2.0035 (2.0485) Prec@1 55.625 (47.300) Prec@5 78.750 (77.807) Epoch: [42][930/11272] Time 0.854 (0.792) Data 0.001 (0.004) Loss 2.1500 (2.0487) Prec@1 48.125 (47.300) Prec@5 78.750 (77.810) Epoch: [42][940/11272] Time 0.740 (0.792) Data 0.001 (0.004) Loss 1.9942 (2.0487) Prec@1 50.000 (47.305) Prec@5 79.375 (77.805) Epoch: [42][950/11272] Time 0.737 (0.792) Data 0.001 (0.004) Loss 1.8672 (2.0487) Prec@1 48.750 (47.300) Prec@5 82.500 (77.804) Epoch: [42][960/11272] Time 0.874 (0.792) Data 0.002 (0.004) Loss 2.4046 (2.0492) Prec@1 40.000 (47.280) Prec@5 68.750 (77.792) Epoch: [42][970/11272] Time 0.831 (0.792) Data 0.001 (0.004) Loss 1.8805 (2.0492) Prec@1 52.500 (47.286) Prec@5 80.000 (77.777) Epoch: [42][980/11272] Time 0.732 (0.792) Data 0.001 (0.004) Loss 1.9954 (2.0498) Prec@1 48.750 (47.276) Prec@5 80.000 (77.773) Epoch: [42][990/11272] Time 0.738 (0.792) Data 0.002 (0.004) Loss 2.0978 (2.0489) Prec@1 46.250 (47.296) Prec@5 74.375 (77.790) Epoch: [42][1000/11272] Time 0.853 (0.792) Data 0.001 (0.004) Loss 1.9302 (2.0496) Prec@1 50.625 (47.276) Prec@5 80.000 (77.773) Epoch: [42][1010/11272] Time 0.840 (0.792) Data 0.002 (0.004) Loss 1.9926 (2.0504) Prec@1 51.250 (47.266) Prec@5 79.375 (77.756) Epoch: [42][1020/11272] Time 0.721 (0.792) Data 0.001 (0.004) Loss 2.1856 (2.0505) Prec@1 40.625 (47.242) Prec@5 72.500 (77.761) Epoch: [42][1030/11272] Time 0.876 (0.792) Data 0.001 (0.004) Loss 2.1440 (2.0504) Prec@1 41.250 (47.244) Prec@5 76.875 (77.758) Epoch: [42][1040/11272] Time 0.870 (0.792) Data 0.002 (0.004) Loss 2.0884 (2.0505) Prec@1 47.500 (47.250) Prec@5 78.125 (77.764) Epoch: [42][1050/11272] Time 0.753 (0.792) Data 0.001 (0.004) Loss 2.1103 (2.0507) Prec@1 47.500 (47.237) Prec@5 80.625 (77.760) Epoch: [42][1060/11272] Time 0.757 (0.793) Data 0.001 (0.004) Loss 1.7306 (2.0502) Prec@1 55.625 (47.257) Prec@5 86.875 (77.771) Epoch: [42][1070/11272] Time 0.852 (0.793) Data 0.001 (0.004) Loss 2.2783 (2.0499) Prec@1 46.250 (47.269) Prec@5 72.500 (77.774) Epoch: [42][1080/11272] Time 0.878 (0.793) Data 0.001 (0.003) Loss 1.9658 (2.0500) Prec@1 48.750 (47.261) Prec@5 76.875 (77.767) Epoch: [42][1090/11272] Time 0.742 (0.792) Data 0.001 (0.003) Loss 1.9198 (2.0501) Prec@1 49.375 (47.258) Prec@5 78.750 (77.758) Epoch: [42][1100/11272] Time 0.729 (0.792) Data 0.001 (0.003) Loss 2.2048 (2.0499) Prec@1 43.750 (47.257) Prec@5 74.375 (77.756) Epoch: [42][1110/11272] Time 0.836 (0.793) Data 0.001 (0.003) Loss 1.9565 (2.0497) Prec@1 48.125 (47.261) Prec@5 81.250 (77.759) Epoch: [42][1120/11272] Time 0.833 (0.793) Data 0.001 (0.003) Loss 2.1268 (2.0505) Prec@1 46.875 (47.242) Prec@5 75.625 (77.740) Epoch: [42][1130/11272] Time 0.725 (0.792) Data 0.001 (0.003) Loss 2.0037 (2.0504) Prec@1 48.125 (47.251) Prec@5 77.500 (77.744) Epoch: [42][1140/11272] Time 0.751 (0.793) Data 0.002 (0.003) Loss 1.8217 (2.0499) Prec@1 55.000 (47.274) Prec@5 80.625 (77.750) Epoch: [42][1150/11272] Time 0.862 (0.793) Data 0.001 (0.003) Loss 1.8760 (2.0500) Prec@1 53.750 (47.286) Prec@5 83.125 (77.750) Epoch: [42][1160/11272] Time 0.730 (0.792) Data 0.004 (0.003) Loss 1.9620 (2.0500) Prec@1 48.750 (47.283) Prec@5 81.250 (77.747) Epoch: [42][1170/11272] Time 0.719 (0.792) Data 0.002 (0.003) Loss 2.0068 (2.0492) Prec@1 52.500 (47.297) Prec@5 78.750 (77.765) Epoch: [42][1180/11272] Time 0.840 (0.792) Data 0.001 (0.003) Loss 2.0145 (2.0493) Prec@1 50.625 (47.293) Prec@5 78.750 (77.760) Epoch: [42][1190/11272] Time 0.795 (0.792) Data 0.001 (0.003) Loss 2.0509 (2.0492) Prec@1 44.375 (47.294) Prec@5 78.750 (77.760) Epoch: [42][1200/11272] Time 0.728 (0.792) Data 0.001 (0.003) Loss 2.2082 (2.0492) Prec@1 48.750 (47.298) Prec@5 74.375 (77.768) Epoch: [42][1210/11272] Time 0.729 (0.792) Data 0.001 (0.003) Loss 2.0307 (2.0498) Prec@1 45.625 (47.297) Prec@5 77.500 (77.760) Epoch: [42][1220/11272] Time 0.828 (0.792) Data 0.001 (0.003) Loss 1.9250 (2.0498) Prec@1 53.125 (47.302) Prec@5 76.875 (77.758) Epoch: [42][1230/11272] Time 0.825 (0.792) Data 0.001 (0.003) Loss 2.2356 (2.0499) Prec@1 38.750 (47.285) Prec@5 75.000 (77.759) Epoch: [42][1240/11272] Time 0.730 (0.792) Data 0.001 (0.003) Loss 1.9383 (2.0495) Prec@1 50.625 (47.298) Prec@5 81.875 (77.771) Epoch: [42][1250/11272] Time 0.732 (0.792) Data 0.001 (0.003) Loss 2.3226 (2.0500) Prec@1 41.250 (47.292) Prec@5 75.000 (77.763) Epoch: [42][1260/11272] Time 0.859 (0.792) Data 0.001 (0.003) Loss 2.1630 (2.0499) Prec@1 44.375 (47.298) Prec@5 76.875 (77.768) Epoch: [42][1270/11272] Time 0.817 (0.792) Data 0.001 (0.003) Loss 1.9319 (2.0503) Prec@1 50.000 (47.295) Prec@5 81.250 (77.765) Epoch: [42][1280/11272] Time 0.725 (0.792) Data 0.001 (0.003) Loss 1.8069 (2.0504) Prec@1 58.750 (47.292) Prec@5 83.750 (77.759) Epoch: [42][1290/11272] Time 0.840 (0.792) Data 0.001 (0.003) Loss 2.3106 (2.0506) Prec@1 43.750 (47.279) Prec@5 73.750 (77.763) Epoch: [42][1300/11272] Time 0.834 (0.791) Data 0.001 (0.003) Loss 2.0086 (2.0509) Prec@1 48.125 (47.267) Prec@5 75.000 (77.759) Epoch: [42][1310/11272] Time 0.738 (0.791) Data 0.001 (0.003) Loss 2.0750 (2.0510) Prec@1 47.500 (47.264) Prec@5 75.000 (77.752) Epoch: [42][1320/11272] Time 0.726 (0.791) Data 0.001 (0.003) Loss 2.0231 (2.0514) Prec@1 51.875 (47.259) Prec@5 78.125 (77.748) Epoch: [42][1330/11272] Time 0.844 (0.791) Data 0.001 (0.003) Loss 1.8915 (2.0519) Prec@1 49.375 (47.257) Prec@5 84.375 (77.742) Epoch: [42][1340/11272] Time 0.846 (0.791) Data 0.001 (0.003) Loss 2.0646 (2.0516) Prec@1 47.500 (47.264) Prec@5 76.875 (77.755) Epoch: [42][1350/11272] Time 0.724 (0.791) Data 0.001 (0.003) Loss 1.9247 (2.0517) Prec@1 53.125 (47.263) Prec@5 78.750 (77.750) Epoch: [42][1360/11272] Time 0.725 (0.791) Data 0.001 (0.003) Loss 1.9234 (2.0515) Prec@1 51.250 (47.272) Prec@5 80.625 (77.748) Epoch: [42][1370/11272] Time 0.862 (0.791) Data 0.001 (0.003) Loss 2.1215 (2.0511) Prec@1 46.250 (47.273) Prec@5 78.750 (77.764) Epoch: [42][1380/11272] Time 0.823 (0.791) Data 0.001 (0.003) Loss 2.3069 (2.0513) Prec@1 38.125 (47.270) Prec@5 75.625 (77.766) Epoch: [42][1390/11272] Time 0.726 (0.791) Data 0.001 (0.003) Loss 1.8415 (2.0510) Prec@1 53.125 (47.287) Prec@5 80.000 (77.777) Epoch: [42][1400/11272] Time 0.729 (0.791) Data 0.001 (0.003) Loss 1.9465 (2.0512) Prec@1 47.500 (47.280) Prec@5 79.375 (77.770) Epoch: [42][1410/11272] Time 0.817 (0.791) Data 0.002 (0.003) Loss 2.1032 (2.0511) Prec@1 44.375 (47.281) Prec@5 78.750 (77.769) Epoch: [42][1420/11272] Time 0.829 (0.791) Data 0.001 (0.003) Loss 2.1567 (2.0516) Prec@1 45.625 (47.281) Prec@5 73.125 (77.755) Epoch: [42][1430/11272] Time 0.728 (0.791) Data 0.001 (0.003) Loss 2.0177 (2.0512) Prec@1 52.500 (47.292) Prec@5 78.125 (77.749) Epoch: [42][1440/11272] Time 0.862 (0.791) Data 0.002 (0.003) Loss 1.9788 (2.0517) Prec@1 46.875 (47.278) Prec@5 76.875 (77.736) Epoch: [42][1450/11272] Time 0.830 (0.791) Data 0.001 (0.003) Loss 2.2333 (2.0519) Prec@1 43.125 (47.262) Prec@5 74.375 (77.732) Epoch: [42][1460/11272] Time 0.750 (0.791) Data 0.001 (0.003) Loss 1.9183 (2.0518) Prec@1 43.125 (47.268) Prec@5 84.375 (77.734) Epoch: [42][1470/11272] Time 0.745 (0.791) Data 0.001 (0.003) Loss 2.2226 (2.0520) Prec@1 42.500 (47.258) Prec@5 71.875 (77.727) Epoch: [42][1480/11272] Time 0.849 (0.791) Data 0.001 (0.003) Loss 1.9287 (2.0523) Prec@1 51.875 (47.261) Prec@5 79.375 (77.717) Epoch: [42][1490/11272] Time 0.824 (0.791) Data 0.002 (0.003) Loss 2.2481 (2.0523) Prec@1 39.375 (47.260) Prec@5 73.125 (77.706) Epoch: [42][1500/11272] Time 0.728 (0.791) Data 0.001 (0.003) Loss 2.3550 (2.0526) Prec@1 38.750 (47.251) Prec@5 74.375 (77.705) Epoch: [42][1510/11272] Time 0.739 (0.791) Data 0.001 (0.003) Loss 2.3329 (2.0528) Prec@1 40.000 (47.249) Prec@5 70.000 (77.696) Epoch: [42][1520/11272] Time 0.838 (0.791) Data 0.001 (0.003) Loss 2.0138 (2.0534) Prec@1 48.750 (47.247) Prec@5 77.500 (77.688) Epoch: [42][1530/11272] Time 0.823 (0.791) Data 0.001 (0.003) Loss 1.9419 (2.0538) Prec@1 49.375 (47.243) Prec@5 78.750 (77.673) Epoch: [42][1540/11272] Time 0.736 (0.791) Data 0.001 (0.003) Loss 2.1541 (2.0541) Prec@1 41.875 (47.241) Prec@5 79.375 (77.668) Epoch: [42][1550/11272] Time 0.788 (0.791) Data 0.001 (0.003) Loss 1.8067 (2.0543) Prec@1 53.125 (47.236) Prec@5 81.250 (77.660) Epoch: [42][1560/11272] Time 0.876 (0.791) Data 0.002 (0.003) Loss 2.0570 (2.0546) Prec@1 48.750 (47.232) Prec@5 75.000 (77.653) Epoch: [42][1570/11272] Time 0.728 (0.791) Data 0.001 (0.003) Loss 2.0648 (2.0548) Prec@1 45.000 (47.226) Prec@5 78.750 (77.646) Epoch: [42][1580/11272] Time 0.752 (0.791) Data 0.002 (0.003) Loss 2.1695 (2.0551) Prec@1 43.750 (47.217) Prec@5 75.625 (77.637) Epoch: [42][1590/11272] Time 0.854 (0.791) Data 0.001 (0.003) Loss 2.2619 (2.0554) Prec@1 43.125 (47.212) Prec@5 70.625 (77.625) Epoch: [42][1600/11272] Time 0.854 (0.791) Data 0.001 (0.003) Loss 2.1456 (2.0552) Prec@1 41.875 (47.214) Prec@5 78.750 (77.626) Epoch: [42][1610/11272] Time 0.753 (0.791) Data 0.002 (0.003) Loss 2.0520 (2.0551) Prec@1 41.250 (47.207) Prec@5 79.375 (77.626) Epoch: [42][1620/11272] Time 0.732 (0.791) Data 0.001 (0.003) Loss 1.8125 (2.0553) Prec@1 48.125 (47.196) Prec@5 79.375 (77.623) Epoch: [42][1630/11272] Time 0.807 (0.791) Data 0.001 (0.003) Loss 2.0385 (2.0553) Prec@1 41.875 (47.197) Prec@5 80.000 (77.618) Epoch: [42][1640/11272] Time 0.826 (0.791) Data 0.001 (0.003) Loss 2.1225 (2.0552) Prec@1 45.000 (47.196) Prec@5 76.250 (77.626) Epoch: [42][1650/11272] Time 0.727 (0.791) Data 0.001 (0.003) Loss 2.3481 (2.0550) Prec@1 41.250 (47.199) Prec@5 75.000 (77.635) Epoch: [42][1660/11272] Time 0.729 (0.791) Data 0.001 (0.003) Loss 2.1048 (2.0550) Prec@1 44.375 (47.196) Prec@5 80.000 (77.641) Epoch: [42][1670/11272] Time 0.867 (0.791) Data 0.002 (0.003) Loss 1.9289 (2.0548) Prec@1 51.875 (47.201) Prec@5 78.125 (77.643) Epoch: [42][1680/11272] Time 0.867 (0.791) Data 0.002 (0.003) Loss 1.8955 (2.0547) Prec@1 50.625 (47.204) Prec@5 81.250 (77.650) Epoch: [42][1690/11272] Time 0.759 (0.791) Data 0.001 (0.003) Loss 2.1445 (2.0550) Prec@1 46.250 (47.191) Prec@5 77.500 (77.644) Epoch: [42][1700/11272] Time 0.824 (0.791) Data 0.001 (0.003) Loss 2.1254 (2.0544) Prec@1 53.125 (47.213) Prec@5 72.500 (77.649) Epoch: [42][1710/11272] Time 0.853 (0.791) Data 0.002 (0.003) Loss 2.1172 (2.0545) Prec@1 49.375 (47.207) Prec@5 76.875 (77.645) Epoch: [42][1720/11272] Time 0.732 (0.792) Data 0.001 (0.003) Loss 1.8314 (2.0545) Prec@1 53.125 (47.212) Prec@5 76.250 (77.644) Epoch: [42][1730/11272] Time 0.736 (0.791) Data 0.001 (0.003) Loss 1.8535 (2.0542) Prec@1 50.000 (47.221) Prec@5 83.750 (77.647) Epoch: [42][1740/11272] Time 0.849 (0.792) Data 0.002 (0.003) Loss 1.9959 (2.0539) Prec@1 52.500 (47.229) Prec@5 74.375 (77.647) Epoch: [42][1750/11272] Time 0.845 (0.792) Data 0.001 (0.003) Loss 2.1243 (2.0543) Prec@1 48.750 (47.221) Prec@5 76.875 (77.637) Epoch: [42][1760/11272] Time 0.731 (0.792) Data 0.001 (0.003) Loss 1.9369 (2.0543) Prec@1 48.750 (47.220) Prec@5 78.125 (77.638) Epoch: [42][1770/11272] Time 0.740 (0.792) Data 0.002 (0.003) Loss 2.4060 (2.0546) Prec@1 45.625 (47.218) Prec@5 70.000 (77.631) Epoch: [42][1780/11272] Time 0.826 (0.792) Data 0.001 (0.003) Loss 1.9893 (2.0548) Prec@1 45.625 (47.206) Prec@5 79.375 (77.635) Epoch: [42][1790/11272] Time 0.835 (0.792) Data 0.001 (0.003) Loss 1.6190 (2.0541) Prec@1 57.500 (47.222) Prec@5 86.875 (77.647) Epoch: [42][1800/11272] Time 0.770 (0.792) Data 0.002 (0.003) Loss 2.0614 (2.0543) Prec@1 45.000 (47.208) Prec@5 76.875 (77.648) Epoch: [42][1810/11272] Time 0.771 (0.792) Data 0.001 (0.003) Loss 1.8883 (2.0542) Prec@1 52.500 (47.208) Prec@5 80.625 (77.650) Epoch: [42][1820/11272] Time 0.835 (0.792) Data 0.001 (0.003) Loss 1.9384 (2.0540) Prec@1 48.125 (47.207) Prec@5 78.750 (77.654) Epoch: [42][1830/11272] Time 0.729 (0.792) Data 0.003 (0.003) Loss 2.0997 (2.0537) Prec@1 45.000 (47.219) Prec@5 75.625 (77.659) Epoch: [42][1840/11272] Time 0.714 (0.792) Data 0.001 (0.003) Loss 2.0401 (2.0536) Prec@1 48.750 (47.228) Prec@5 78.750 (77.663) Epoch: [42][1850/11272] Time 0.817 (0.792) Data 0.001 (0.003) Loss 1.9958 (2.0536) Prec@1 50.625 (47.226) Prec@5 77.500 (77.662) Epoch: [42][1860/11272] Time 0.868 (0.792) Data 0.001 (0.003) Loss 2.0565 (2.0539) Prec@1 51.250 (47.217) Prec@5 75.625 (77.654) Epoch: [42][1870/11272] Time 0.727 (0.792) Data 0.001 (0.003) Loss 2.0270 (2.0537) Prec@1 44.375 (47.216) Prec@5 76.875 (77.655) Epoch: [42][1880/11272] Time 0.733 (0.792) Data 0.002 (0.003) Loss 1.8496 (2.0540) Prec@1 51.250 (47.212) Prec@5 78.125 (77.647) Epoch: [42][1890/11272] Time 0.843 (0.792) Data 0.001 (0.003) Loss 1.9536 (2.0540) Prec@1 48.750 (47.214) Prec@5 83.125 (77.655) Epoch: [42][1900/11272] Time 0.827 (0.792) Data 0.001 (0.003) Loss 2.1425 (2.0542) Prec@1 45.000 (47.208) Prec@5 76.250 (77.655) Epoch: [42][1910/11272] Time 0.738 (0.792) Data 0.002 (0.003) Loss 2.2555 (2.0540) Prec@1 45.000 (47.219) Prec@5 72.500 (77.654) Epoch: [42][1920/11272] Time 0.725 (0.792) Data 0.001 (0.003) Loss 1.7038 (2.0539) Prec@1 53.750 (47.224) Prec@5 84.375 (77.658) Epoch: [42][1930/11272] Time 0.834 (0.792) Data 0.001 (0.003) Loss 2.0853 (2.0536) Prec@1 46.250 (47.232) Prec@5 78.750 (77.660) Epoch: [42][1940/11272] Time 0.820 (0.791) Data 0.001 (0.003) Loss 2.0279 (2.0536) Prec@1 46.875 (47.232) Prec@5 76.875 (77.656) Epoch: [42][1950/11272] Time 0.796 (0.792) Data 0.002 (0.003) Loss 2.1478 (2.0536) Prec@1 43.125 (47.234) Prec@5 77.500 (77.665) Epoch: [42][1960/11272] Time 0.897 (0.792) Data 0.002 (0.003) Loss 2.0093 (2.0538) Prec@1 48.125 (47.230) Prec@5 76.250 (77.660) Epoch: [42][1970/11272] Time 0.849 (0.792) Data 0.001 (0.003) Loss 2.1542 (2.0538) Prec@1 48.750 (47.227) Prec@5 75.000 (77.654) Epoch: [42][1980/11272] Time 0.751 (0.792) Data 0.002 (0.003) Loss 2.1037 (2.0542) Prec@1 48.750 (47.224) Prec@5 78.125 (77.646) Epoch: [42][1990/11272] Time 0.750 (0.792) Data 0.001 (0.003) Loss 1.9307 (2.0544) Prec@1 50.625 (47.226) Prec@5 78.125 (77.645) Epoch: [42][2000/11272] Time 0.852 (0.792) Data 0.002 (0.003) Loss 1.9924 (2.0545) Prec@1 50.625 (47.227) Prec@5 78.750 (77.643) Epoch: [42][2010/11272] Time 0.857 (0.792) Data 0.001 (0.003) Loss 2.0927 (2.0546) Prec@1 41.875 (47.222) Prec@5 75.625 (77.639) Epoch: [42][2020/11272] Time 0.755 (0.792) Data 0.002 (0.003) Loss 1.8729 (2.0547) Prec@1 47.500 (47.218) Prec@5 78.750 (77.640) Epoch: [42][2030/11272] Time 0.724 (0.792) Data 0.001 (0.003) Loss 1.9764 (2.0546) Prec@1 49.375 (47.218) Prec@5 80.000 (77.643) Epoch: [42][2040/11272] Time 0.844 (0.792) Data 0.001 (0.003) Loss 2.1468 (2.0550) Prec@1 41.250 (47.203) Prec@5 77.500 (77.636) Epoch: [42][2050/11272] Time 0.828 (0.792) Data 0.001 (0.003) Loss 2.3037 (2.0552) Prec@1 48.125 (47.204) Prec@5 71.250 (77.631) Epoch: [42][2060/11272] Time 0.745 (0.792) Data 0.001 (0.003) Loss 2.1436 (2.0553) Prec@1 50.000 (47.210) Prec@5 78.125 (77.630) Epoch: [42][2070/11272] Time 0.729 (0.792) Data 0.001 (0.003) Loss 2.0512 (2.0555) Prec@1 44.375 (47.203) Prec@5 80.000 (77.627) Epoch: [42][2080/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.0695 (2.0557) Prec@1 46.250 (47.204) Prec@5 78.125 (77.629) Epoch: [42][2090/11272] Time 0.739 (0.792) Data 0.004 (0.002) Loss 2.0442 (2.0554) Prec@1 46.875 (47.209) Prec@5 78.125 (77.632) Epoch: [42][2100/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0381 (2.0559) Prec@1 43.750 (47.194) Prec@5 79.375 (77.622) Epoch: [42][2110/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0594 (2.0558) Prec@1 47.500 (47.201) Prec@5 75.000 (77.622) Epoch: [42][2120/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0801 (2.0560) Prec@1 50.000 (47.198) Prec@5 77.500 (77.617) Epoch: [42][2130/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 2.1101 (2.0561) Prec@1 45.625 (47.200) Prec@5 74.375 (77.611) Epoch: [42][2140/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.1282 (2.0561) Prec@1 47.500 (47.201) Prec@5 74.375 (77.612) Epoch: [42][2150/11272] Time 0.867 (0.792) Data 0.001 (0.002) Loss 2.1526 (2.0558) Prec@1 45.000 (47.204) Prec@5 75.000 (77.617) Epoch: [42][2160/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 2.1113 (2.0559) Prec@1 48.750 (47.201) Prec@5 74.375 (77.616) Epoch: [42][2170/11272] Time 0.753 (0.792) Data 0.002 (0.002) Loss 2.1090 (2.0560) Prec@1 45.625 (47.196) Prec@5 78.125 (77.612) Epoch: [42][2180/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.9247 (2.0561) Prec@1 53.750 (47.195) Prec@5 76.875 (77.607) Epoch: [42][2190/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 2.2475 (2.0563) Prec@1 42.500 (47.192) Prec@5 68.750 (77.602) Epoch: [42][2200/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0564 (2.0561) Prec@1 46.250 (47.197) Prec@5 77.500 (77.603) Epoch: [42][2210/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 1.8085 (2.0560) Prec@1 49.375 (47.196) Prec@5 82.500 (77.609) Epoch: [42][2220/11272] Time 0.880 (0.792) Data 0.001 (0.002) Loss 2.1403 (2.0562) Prec@1 43.125 (47.187) Prec@5 78.125 (77.609) Epoch: [42][2230/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1945 (2.0563) Prec@1 42.500 (47.185) Prec@5 78.750 (77.615) Epoch: [42][2240/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0800 (2.0563) Prec@1 48.750 (47.183) Prec@5 76.250 (77.617) Epoch: [42][2250/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.2108 (2.0563) Prec@1 44.375 (47.183) Prec@5 73.750 (77.621) Epoch: [42][2260/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.3660 (2.0563) Prec@1 43.125 (47.182) Prec@5 71.875 (77.624) Epoch: [42][2270/11272] Time 0.846 (0.792) Data 0.002 (0.002) Loss 2.0624 (2.0562) Prec@1 46.875 (47.185) Prec@5 74.375 (77.622) Epoch: [42][2280/11272] Time 0.755 (0.792) Data 0.001 (0.002) Loss 1.9207 (2.0562) Prec@1 50.625 (47.193) Prec@5 80.625 (77.623) Epoch: [42][2290/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.7476 (2.0562) Prec@1 53.125 (47.195) Prec@5 85.000 (77.620) Epoch: [42][2300/11272] Time 0.841 (0.791) Data 0.001 (0.002) Loss 2.2789 (2.0566) Prec@1 42.500 (47.187) Prec@5 73.125 (77.617) Epoch: [42][2310/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 2.0334 (2.0567) Prec@1 48.125 (47.178) Prec@5 74.375 (77.616) Epoch: [42][2320/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.8372 (2.0565) Prec@1 50.000 (47.181) Prec@5 80.625 (77.621) Epoch: [42][2330/11272] Time 0.765 (0.792) Data 0.002 (0.002) Loss 2.3319 (2.0568) Prec@1 45.000 (47.177) Prec@5 71.875 (77.614) Epoch: [42][2340/11272] Time 0.856 (0.792) Data 0.002 (0.002) Loss 1.9270 (2.0565) Prec@1 54.375 (47.182) Prec@5 80.625 (77.618) Epoch: [42][2350/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.9284 (2.0563) Prec@1 49.375 (47.182) Prec@5 80.000 (77.620) Epoch: [42][2360/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1159 (2.0562) Prec@1 48.750 (47.180) Prec@5 73.750 (77.621) Epoch: [42][2370/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.2594 (2.0564) Prec@1 45.000 (47.179) Prec@5 72.500 (77.617) Epoch: [42][2380/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.0947 (2.0562) Prec@1 36.875 (47.181) Prec@5 79.375 (77.625) Epoch: [42][2390/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.0647 (2.0564) Prec@1 46.250 (47.177) Prec@5 76.875 (77.614) Epoch: [42][2400/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 1.9552 (2.0566) Prec@1 48.125 (47.180) Prec@5 82.500 (77.611) Epoch: [42][2410/11272] Time 0.863 (0.792) Data 0.001 (0.002) Loss 1.8725 (2.0564) Prec@1 49.375 (47.178) Prec@5 78.750 (77.609) Epoch: [42][2420/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1349 (2.0565) Prec@1 50.625 (47.186) Prec@5 77.500 (77.607) Epoch: [42][2430/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.5844 (2.0569) Prec@1 40.625 (47.175) Prec@5 68.750 (77.597) Epoch: [42][2440/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0213 (2.0570) Prec@1 46.875 (47.172) Prec@5 80.625 (77.596) Epoch: [42][2450/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.9771 (2.0568) Prec@1 53.125 (47.177) Prec@5 80.000 (77.598) Epoch: [42][2460/11272] Time 0.814 (0.792) Data 0.001 (0.002) Loss 1.9204 (2.0570) Prec@1 41.875 (47.168) Prec@5 80.000 (77.592) Epoch: [42][2470/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 1.7979 (2.0571) Prec@1 53.125 (47.166) Prec@5 80.000 (77.589) Epoch: [42][2480/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 2.0457 (2.0572) Prec@1 45.625 (47.166) Prec@5 80.625 (77.591) Epoch: [42][2490/11272] Time 0.835 (0.791) Data 0.001 (0.002) Loss 2.0214 (2.0571) Prec@1 49.375 (47.168) Prec@5 76.250 (77.595) Epoch: [42][2500/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 1.9005 (2.0571) Prec@1 43.750 (47.163) Prec@5 79.375 (77.599) Epoch: [42][2510/11272] Time 0.751 (0.791) Data 0.001 (0.002) Loss 2.1524 (2.0571) Prec@1 48.125 (47.161) Prec@5 74.375 (77.602) Epoch: [42][2520/11272] Time 0.830 (0.791) Data 0.001 (0.002) Loss 2.0669 (2.0571) Prec@1 47.500 (47.163) Prec@5 76.250 (77.602) Epoch: [42][2530/11272] Time 0.823 (0.791) Data 0.001 (0.002) Loss 2.0726 (2.0569) Prec@1 44.375 (47.167) Prec@5 80.625 (77.607) Epoch: [42][2540/11272] Time 0.717 (0.791) Data 0.002 (0.002) Loss 1.9795 (2.0568) Prec@1 51.875 (47.170) Prec@5 76.250 (77.604) Epoch: [42][2550/11272] Time 0.747 (0.791) Data 0.002 (0.002) Loss 1.8213 (2.0568) Prec@1 54.375 (47.176) Prec@5 80.625 (77.603) Epoch: [42][2560/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 2.2279 (2.0568) Prec@1 42.500 (47.171) Prec@5 76.250 (77.605) Epoch: [42][2570/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.8793 (2.0566) Prec@1 53.750 (47.176) Prec@5 80.000 (77.606) Epoch: [42][2580/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.4170 (2.0567) Prec@1 43.125 (47.171) Prec@5 68.750 (77.607) Epoch: [42][2590/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.2033 (2.0569) Prec@1 43.750 (47.166) Prec@5 73.750 (77.601) Epoch: [42][2600/11272] Time 0.840 (0.792) Data 0.002 (0.002) Loss 2.1398 (2.0573) Prec@1 48.125 (47.164) Prec@5 72.500 (77.596) Epoch: [42][2610/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1619 (2.0574) Prec@1 41.875 (47.158) Prec@5 80.000 (77.594) Epoch: [42][2620/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.9081 (2.0577) Prec@1 50.000 (47.150) Prec@5 82.500 (77.589) Epoch: [42][2630/11272] Time 0.840 (0.792) Data 0.002 (0.002) Loss 1.9984 (2.0577) Prec@1 52.500 (47.149) Prec@5 79.375 (77.589) Epoch: [42][2640/11272] Time 0.850 (0.792) Data 0.002 (0.002) Loss 2.0130 (2.0579) Prec@1 41.875 (47.140) Prec@5 83.125 (77.588) Epoch: [42][2650/11272] Time 0.755 (0.792) Data 0.002 (0.002) Loss 1.9703 (2.0577) Prec@1 53.750 (47.147) Prec@5 79.375 (77.596) Epoch: [42][2660/11272] Time 0.748 (0.792) Data 0.002 (0.002) Loss 1.8871 (2.0576) Prec@1 46.875 (47.146) Prec@5 80.000 (77.605) Epoch: [42][2670/11272] Time 0.840 (0.792) Data 0.002 (0.002) Loss 1.9177 (2.0577) Prec@1 50.625 (47.143) Prec@5 81.875 (77.606) Epoch: [42][2680/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.1595 (2.0579) Prec@1 43.125 (47.139) Prec@5 74.375 (77.602) Epoch: [42][2690/11272] Time 0.746 (0.792) Data 0.002 (0.002) Loss 2.0054 (2.0577) Prec@1 49.375 (47.142) Prec@5 80.000 (77.607) Epoch: [42][2700/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1516 (2.0580) Prec@1 49.375 (47.145) Prec@5 78.125 (77.606) Epoch: [42][2710/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 2.0480 (2.0583) Prec@1 48.125 (47.136) Prec@5 76.250 (77.596) Epoch: [42][2720/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0390 (2.0582) Prec@1 50.000 (47.133) Prec@5 77.500 (77.600) Epoch: [42][2730/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.0854 (2.0583) Prec@1 43.125 (47.132) Prec@5 76.875 (77.601) Epoch: [42][2740/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.1441 (2.0584) Prec@1 48.125 (47.131) Prec@5 75.625 (77.598) Epoch: [42][2750/11272] Time 0.872 (0.792) Data 0.002 (0.002) Loss 2.1731 (2.0582) Prec@1 38.750 (47.132) Prec@5 78.750 (77.598) Epoch: [42][2760/11272] Time 0.739 (0.792) Data 0.003 (0.002) Loss 1.8343 (2.0580) Prec@1 51.875 (47.134) Prec@5 83.125 (77.604) Epoch: [42][2770/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 1.8508 (2.0578) Prec@1 49.375 (47.135) Prec@5 85.000 (77.608) Epoch: [42][2780/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.0147 (2.0580) Prec@1 44.375 (47.129) Prec@5 77.500 (77.605) Epoch: [42][2790/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.2815 (2.0584) Prec@1 48.125 (47.125) Prec@5 71.875 (77.599) Epoch: [42][2800/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.0729 (2.0585) Prec@1 47.500 (47.125) Prec@5 78.750 (77.595) Epoch: [42][2810/11272] Time 0.746 (0.792) Data 0.002 (0.002) Loss 2.2149 (2.0584) Prec@1 45.000 (47.127) Prec@5 75.625 (77.597) Epoch: [42][2820/11272] Time 0.827 (0.792) Data 0.002 (0.002) Loss 2.1081 (2.0583) Prec@1 48.125 (47.126) Prec@5 78.125 (77.601) Epoch: [42][2830/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.2952 (2.0583) Prec@1 37.500 (47.126) Prec@5 78.125 (77.601) Epoch: [42][2840/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.9800 (2.0585) Prec@1 51.875 (47.126) Prec@5 76.250 (77.595) Epoch: [42][2850/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 1.9985 (2.0584) Prec@1 50.625 (47.124) Prec@5 78.750 (77.598) Epoch: [42][2860/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.2322 (2.0584) Prec@1 38.750 (47.123) Prec@5 71.250 (77.599) Epoch: [42][2870/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.3143 (2.0589) Prec@1 40.625 (47.110) Prec@5 69.375 (77.590) Epoch: [42][2880/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0212 (2.0588) Prec@1 46.875 (47.114) Prec@5 74.375 (77.589) Epoch: [42][2890/11272] Time 0.884 (0.792) Data 0.001 (0.002) Loss 2.0888 (2.0588) Prec@1 45.625 (47.111) Prec@5 74.375 (77.589) Epoch: [42][2900/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 1.8099 (2.0587) Prec@1 55.625 (47.113) Prec@5 81.250 (77.589) Epoch: [42][2910/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.2262 (2.0589) Prec@1 47.500 (47.112) Prec@5 78.125 (77.589) Epoch: [42][2920/11272] Time 0.752 (0.792) Data 0.002 (0.002) Loss 2.0360 (2.0589) Prec@1 43.125 (47.109) Prec@5 79.375 (77.587) Epoch: [42][2930/11272] Time 0.863 (0.792) Data 0.001 (0.002) Loss 1.9282 (2.0590) Prec@1 46.250 (47.101) Prec@5 80.000 (77.590) Epoch: [42][2940/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.0725 (2.0593) Prec@1 43.750 (47.094) Prec@5 75.000 (77.586) Epoch: [42][2950/11272] Time 0.749 (0.792) Data 0.001 (0.002) Loss 2.0232 (2.0593) Prec@1 43.750 (47.088) Prec@5 77.500 (77.586) Epoch: [42][2960/11272] Time 0.789 (0.792) Data 0.002 (0.002) Loss 2.1501 (2.0595) Prec@1 48.750 (47.086) Prec@5 77.500 (77.579) Epoch: [42][2970/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.2627 (2.0596) Prec@1 42.500 (47.085) Prec@5 76.875 (77.583) Epoch: [42][2980/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 1.9507 (2.0595) Prec@1 52.500 (47.088) Prec@5 76.875 (77.581) Epoch: [42][2990/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.9016 (2.0596) Prec@1 51.250 (47.092) Prec@5 80.000 (77.579) Epoch: [42][3000/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.0910 (2.0596) Prec@1 44.375 (47.089) Prec@5 77.500 (77.577) Epoch: [42][3010/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.0173 (2.0596) Prec@1 48.125 (47.091) Prec@5 78.750 (77.581) Epoch: [42][3020/11272] Time 0.743 (0.792) Data 0.003 (0.002) Loss 2.0153 (2.0597) Prec@1 51.875 (47.093) Prec@5 76.875 (77.574) Epoch: [42][3030/11272] Time 0.768 (0.792) Data 0.001 (0.002) Loss 2.0374 (2.0598) Prec@1 45.000 (47.087) Prec@5 74.375 (77.573) Epoch: [42][3040/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.0351 (2.0597) Prec@1 49.375 (47.088) Prec@5 81.875 (77.578) Epoch: [42][3050/11272] Time 0.812 (0.792) Data 0.001 (0.002) Loss 2.1735 (2.0596) Prec@1 48.125 (47.088) Prec@5 76.875 (77.578) Epoch: [42][3060/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.1361 (2.0595) Prec@1 45.000 (47.086) Prec@5 74.375 (77.583) Epoch: [42][3070/11272] Time 0.753 (0.792) Data 0.001 (0.002) Loss 1.8033 (2.0597) Prec@1 51.875 (47.079) Prec@5 80.000 (77.579) Epoch: [42][3080/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.2530 (2.0597) Prec@1 45.625 (47.076) Prec@5 74.375 (77.577) Epoch: [42][3090/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1364 (2.0596) Prec@1 40.625 (47.077) Prec@5 79.375 (77.582) Epoch: [42][3100/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.1348 (2.0596) Prec@1 41.250 (47.073) Prec@5 78.750 (77.586) Epoch: [42][3110/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.0385 (2.0594) Prec@1 51.875 (47.079) Prec@5 73.125 (77.585) Epoch: [42][3120/11272] Time 0.876 (0.792) Data 0.002 (0.002) Loss 1.9396 (2.0593) Prec@1 49.375 (47.083) Prec@5 80.000 (77.587) Epoch: [42][3130/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 1.9432 (2.0592) Prec@1 48.750 (47.082) Prec@5 76.875 (77.590) Epoch: [42][3140/11272] Time 0.759 (0.792) Data 0.001 (0.002) Loss 2.1709 (2.0596) Prec@1 46.875 (47.078) Prec@5 76.250 (77.582) Epoch: [42][3150/11272] Time 0.857 (0.792) Data 0.002 (0.002) Loss 2.2065 (2.0595) Prec@1 45.000 (47.078) Prec@5 72.500 (77.581) Epoch: [42][3160/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.8557 (2.0594) Prec@1 55.000 (47.081) Prec@5 81.875 (77.585) Epoch: [42][3170/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.9011 (2.0597) Prec@1 51.875 (47.078) Prec@5 80.625 (77.579) Epoch: [42][3180/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 1.9325 (2.0597) Prec@1 50.000 (47.082) Prec@5 75.000 (77.579) Epoch: [42][3190/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 2.1455 (2.0597) Prec@1 41.250 (47.076) Prec@5 76.250 (77.579) Epoch: [42][3200/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.1359 (2.0598) Prec@1 42.500 (47.076) Prec@5 76.875 (77.580) Epoch: [42][3210/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0150 (2.0598) Prec@1 46.250 (47.076) Prec@5 75.625 (77.581) Epoch: [42][3220/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 1.9868 (2.0597) Prec@1 50.000 (47.077) Prec@5 79.375 (77.582) Epoch: [42][3230/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 1.8198 (2.0598) Prec@1 53.125 (47.073) Prec@5 80.000 (77.582) Epoch: [42][3240/11272] Time 0.833 (0.792) Data 0.002 (0.002) Loss 2.0313 (2.0597) Prec@1 48.125 (47.078) Prec@5 78.125 (77.582) Epoch: [42][3250/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 1.9962 (2.0598) Prec@1 47.500 (47.076) Prec@5 80.000 (77.579) Epoch: [42][3260/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.9588 (2.0596) Prec@1 46.250 (47.081) Prec@5 80.625 (77.581) Epoch: [42][3270/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 1.9783 (2.0597) Prec@1 52.500 (47.079) Prec@5 78.125 (77.580) Epoch: [42][3280/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.1619 (2.0598) Prec@1 45.625 (47.081) Prec@5 74.375 (77.577) Epoch: [42][3290/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.3329 (2.0598) Prec@1 42.500 (47.084) Prec@5 71.250 (77.575) Epoch: [42][3300/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0264 (2.0599) Prec@1 46.875 (47.083) Prec@5 77.500 (77.570) Epoch: [42][3310/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1340 (2.0601) Prec@1 45.625 (47.074) Prec@5 78.125 (77.567) Epoch: [42][3320/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 1.9041 (2.0602) Prec@1 45.625 (47.070) Prec@5 78.750 (77.566) Epoch: [42][3330/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.0723 (2.0603) Prec@1 48.125 (47.066) Prec@5 77.500 (77.567) Epoch: [42][3340/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.1438 (2.0604) Prec@1 48.750 (47.061) Prec@5 78.125 (77.564) Epoch: [42][3350/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 2.2354 (2.0606) Prec@1 43.750 (47.056) Prec@5 74.375 (77.561) Epoch: [42][3360/11272] Time 0.763 (0.792) Data 0.002 (0.002) Loss 2.0663 (2.0605) Prec@1 48.125 (47.059) Prec@5 75.625 (77.564) Epoch: [42][3370/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.8802 (2.0603) Prec@1 47.500 (47.065) Prec@5 81.875 (77.568) Epoch: [42][3380/11272] Time 0.863 (0.792) Data 0.002 (0.002) Loss 1.9768 (2.0603) Prec@1 46.250 (47.065) Prec@5 80.000 (77.570) Epoch: [42][3390/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.1025 (2.0603) Prec@1 50.000 (47.062) Prec@5 78.125 (77.573) Epoch: [42][3400/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 2.0236 (2.0601) Prec@1 48.125 (47.068) Prec@5 75.625 (77.575) Epoch: [42][3410/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0838 (2.0602) Prec@1 46.250 (47.067) Prec@5 77.500 (77.576) Epoch: [42][3420/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2727 (2.0602) Prec@1 40.625 (47.070) Prec@5 73.750 (77.577) Epoch: [42][3430/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.8040 (2.0600) Prec@1 52.500 (47.076) Prec@5 83.750 (77.581) Epoch: [42][3440/11272] Time 0.758 (0.792) Data 0.001 (0.002) Loss 2.2028 (2.0599) Prec@1 45.000 (47.078) Prec@5 77.500 (77.582) Epoch: [42][3450/11272] Time 0.862 (0.792) Data 0.001 (0.002) Loss 2.0471 (2.0600) Prec@1 48.750 (47.076) Prec@5 77.500 (77.578) Epoch: [42][3460/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 1.9283 (2.0598) Prec@1 48.750 (47.075) Prec@5 79.375 (77.581) Epoch: [42][3470/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.2655 (2.0599) Prec@1 40.625 (47.073) Prec@5 70.000 (77.580) Epoch: [42][3480/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 2.1003 (2.0599) Prec@1 46.875 (47.072) Prec@5 76.875 (77.581) Epoch: [42][3490/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.0971 (2.0600) Prec@1 45.000 (47.075) Prec@5 76.875 (77.577) Epoch: [42][3500/11272] Time 0.805 (0.792) Data 0.001 (0.002) Loss 2.1702 (2.0600) Prec@1 41.875 (47.074) Prec@5 75.625 (77.577) Epoch: [42][3510/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.2893 (2.0600) Prec@1 41.250 (47.072) Prec@5 76.250 (77.578) Epoch: [42][3520/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.9535 (2.0600) Prec@1 43.750 (47.075) Prec@5 80.625 (77.580) Epoch: [42][3530/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.2503 (2.0598) Prec@1 45.000 (47.081) Prec@5 74.375 (77.581) Epoch: [42][3540/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.9382 (2.0597) Prec@1 52.500 (47.082) Prec@5 78.125 (77.579) Epoch: [42][3550/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 1.6872 (2.0598) Prec@1 56.875 (47.086) Prec@5 80.625 (77.579) Epoch: [42][3560/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0576 (2.0599) Prec@1 49.375 (47.082) Prec@5 79.375 (77.577) Epoch: [42][3570/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 1.9787 (2.0599) Prec@1 49.375 (47.082) Prec@5 78.750 (77.579) Epoch: [42][3580/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 1.9577 (2.0597) Prec@1 47.500 (47.085) Prec@5 81.250 (77.583) Epoch: [42][3590/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 1.7747 (2.0595) Prec@1 53.125 (47.093) Prec@5 81.875 (77.585) Epoch: [42][3600/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 2.0613 (2.0592) Prec@1 46.250 (47.097) Prec@5 78.750 (77.591) Epoch: [42][3610/11272] Time 0.880 (0.792) Data 0.002 (0.002) Loss 1.8292 (2.0590) Prec@1 51.250 (47.103) Prec@5 80.625 (77.594) Epoch: [42][3620/11272] Time 0.706 (0.792) Data 0.001 (0.002) Loss 2.1793 (2.0589) Prec@1 46.875 (47.102) Prec@5 76.250 (77.595) Epoch: [42][3630/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9941 (2.0592) Prec@1 47.500 (47.098) Prec@5 80.000 (77.589) Epoch: [42][3640/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.1240 (2.0594) Prec@1 48.750 (47.093) Prec@5 75.625 (77.586) Epoch: [42][3650/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 1.8220 (2.0593) Prec@1 46.875 (47.091) Prec@5 83.750 (77.588) Epoch: [42][3660/11272] Time 0.753 (0.792) Data 0.001 (0.002) Loss 1.9451 (2.0593) Prec@1 50.000 (47.092) Prec@5 76.875 (77.588) Epoch: [42][3670/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9967 (2.0591) Prec@1 51.250 (47.094) Prec@5 80.625 (77.591) Epoch: [42][3680/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.9012 (2.0592) Prec@1 51.250 (47.095) Prec@5 78.125 (77.591) Epoch: [42][3690/11272] Time 0.755 (0.792) Data 0.003 (0.002) Loss 1.8611 (2.0588) Prec@1 55.000 (47.101) Prec@5 80.000 (77.594) Epoch: [42][3700/11272] Time 0.770 (0.792) Data 0.002 (0.002) Loss 1.9320 (2.0588) Prec@1 47.500 (47.101) Prec@5 76.250 (77.593) Epoch: [42][3710/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.2255 (2.0589) Prec@1 43.125 (47.102) Prec@5 73.750 (77.590) Epoch: [42][3720/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.0502 (2.0588) Prec@1 46.250 (47.102) Prec@5 77.500 (77.594) Epoch: [42][3730/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.8635 (2.0588) Prec@1 50.625 (47.102) Prec@5 81.875 (77.595) Epoch: [42][3740/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9560 (2.0588) Prec@1 50.000 (47.098) Prec@5 78.750 (77.594) Epoch: [42][3750/11272] Time 0.844 (0.792) Data 0.001 (0.002) Loss 2.0095 (2.0589) Prec@1 46.875 (47.098) Prec@5 82.500 (77.593) Epoch: [42][3760/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1334 (2.0591) Prec@1 45.000 (47.097) Prec@5 79.375 (77.589) Epoch: [42][3770/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0748 (2.0591) Prec@1 51.250 (47.097) Prec@5 74.375 (77.587) Epoch: [42][3780/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1817 (2.0591) Prec@1 45.625 (47.094) Prec@5 71.875 (77.586) Epoch: [42][3790/11272] Time 0.844 (0.792) Data 0.001 (0.002) Loss 2.0638 (2.0591) Prec@1 47.500 (47.093) Prec@5 76.250 (77.591) Epoch: [42][3800/11272] Time 0.852 (0.792) Data 0.002 (0.002) Loss 2.1520 (2.0589) Prec@1 45.625 (47.099) Prec@5 75.625 (77.590) Epoch: [42][3810/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 1.9797 (2.0588) Prec@1 53.125 (47.099) Prec@5 81.875 (77.592) Epoch: [42][3820/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.2524 (2.0588) Prec@1 46.875 (47.099) Prec@5 72.500 (77.590) Epoch: [42][3830/11272] Time 0.858 (0.792) Data 0.002 (0.002) Loss 1.9564 (2.0587) Prec@1 48.750 (47.101) Prec@5 81.875 (77.593) Epoch: [42][3840/11272] Time 0.709 (0.792) Data 0.001 (0.002) Loss 1.9189 (2.0587) Prec@1 49.375 (47.101) Prec@5 75.625 (77.593) Epoch: [42][3850/11272] Time 0.786 (0.792) Data 0.002 (0.002) Loss 1.9597 (2.0589) Prec@1 50.000 (47.094) Prec@5 78.125 (77.589) Epoch: [42][3860/11272] Time 0.812 (0.792) Data 0.001 (0.002) Loss 2.0756 (2.0589) Prec@1 48.750 (47.095) Prec@5 75.000 (77.590) Epoch: [42][3870/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.0328 (2.0588) Prec@1 46.250 (47.100) Prec@5 78.125 (77.591) Epoch: [42][3880/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0878 (2.0590) Prec@1 46.875 (47.097) Prec@5 76.250 (77.588) Epoch: [42][3890/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 1.9803 (2.0589) Prec@1 47.500 (47.098) Prec@5 75.625 (77.589) Epoch: [42][3900/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0248 (2.0589) Prec@1 48.125 (47.095) Prec@5 79.375 (77.591) Epoch: [42][3910/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.9726 (2.0588) Prec@1 50.000 (47.100) Prec@5 77.500 (77.592) Epoch: [42][3920/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.8928 (2.0586) Prec@1 51.250 (47.105) Prec@5 80.625 (77.596) Epoch: [42][3930/11272] Time 0.758 (0.792) Data 0.002 (0.002) Loss 2.2387 (2.0585) Prec@1 40.000 (47.104) Prec@5 75.000 (77.598) Epoch: [42][3940/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.0595 (2.0586) Prec@1 49.375 (47.104) Prec@5 79.375 (77.596) Epoch: [42][3950/11272] Time 0.742 (0.792) Data 0.003 (0.002) Loss 2.1848 (2.0588) Prec@1 44.375 (47.101) Prec@5 74.375 (77.593) Epoch: [42][3960/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.1893 (2.0590) Prec@1 43.125 (47.096) Prec@5 75.000 (77.588) Epoch: [42][3970/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.1232 (2.0591) Prec@1 43.125 (47.096) Prec@5 76.875 (77.585) Epoch: [42][3980/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.1611 (2.0593) Prec@1 45.000 (47.091) Prec@5 78.750 (77.583) Epoch: [42][3990/11272] Time 0.716 (0.792) Data 0.001 (0.002) Loss 1.8687 (2.0592) Prec@1 48.750 (47.092) Prec@5 81.250 (77.582) Epoch: [42][4000/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.2172 (2.0593) Prec@1 40.625 (47.088) Prec@5 73.750 (77.585) Epoch: [42][4010/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.0117 (2.0593) Prec@1 47.500 (47.087) Prec@5 80.625 (77.584) Epoch: [42][4020/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 1.9304 (2.0592) Prec@1 51.250 (47.087) Prec@5 76.250 (77.582) Epoch: [42][4030/11272] Time 0.754 (0.792) Data 0.002 (0.002) Loss 2.2841 (2.0593) Prec@1 42.500 (47.084) Prec@5 70.625 (77.575) Epoch: [42][4040/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0649 (2.0593) Prec@1 50.000 (47.086) Prec@5 79.375 (77.576) Epoch: [42][4050/11272] Time 0.844 (0.792) Data 0.001 (0.002) Loss 2.1424 (2.0594) Prec@1 43.125 (47.086) Prec@5 75.000 (77.573) Epoch: [42][4060/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.2440 (2.0595) Prec@1 42.500 (47.085) Prec@5 72.500 (77.573) Epoch: [42][4070/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 1.9836 (2.0595) Prec@1 50.625 (47.085) Prec@5 80.000 (77.574) Epoch: [42][4080/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 1.9710 (2.0595) Prec@1 46.875 (47.086) Prec@5 80.000 (77.575) Epoch: [42][4090/11272] Time 0.882 (0.792) Data 0.001 (0.002) Loss 1.9502 (2.0595) Prec@1 46.250 (47.088) Prec@5 77.500 (77.574) Epoch: [42][4100/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1173 (2.0595) Prec@1 44.375 (47.086) Prec@5 78.750 (77.573) Epoch: [42][4110/11272] Time 0.748 (0.792) Data 0.002 (0.002) Loss 2.0868 (2.0599) Prec@1 50.625 (47.079) Prec@5 72.500 (77.566) Epoch: [42][4120/11272] Time 0.913 (0.792) Data 0.002 (0.002) Loss 2.1168 (2.0597) Prec@1 45.625 (47.083) Prec@5 78.750 (77.569) Epoch: [42][4130/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.0296 (2.0598) Prec@1 44.375 (47.083) Prec@5 76.875 (77.569) Epoch: [42][4140/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0967 (2.0599) Prec@1 43.125 (47.078) Prec@5 76.875 (77.567) Epoch: [42][4150/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.0881 (2.0600) Prec@1 45.625 (47.072) Prec@5 75.625 (77.567) Epoch: [42][4160/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.1255 (2.0601) Prec@1 47.500 (47.070) Prec@5 80.000 (77.568) Epoch: [42][4170/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 2.0332 (2.0600) Prec@1 49.375 (47.076) Prec@5 78.750 (77.571) Epoch: [42][4180/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1433 (2.0601) Prec@1 48.125 (47.071) Prec@5 72.500 (77.572) Epoch: [42][4190/11272] Time 0.756 (0.792) Data 0.001 (0.002) Loss 2.0057 (2.0602) Prec@1 46.250 (47.069) Prec@5 77.500 (77.570) Epoch: [42][4200/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 2.1452 (2.0601) Prec@1 50.000 (47.072) Prec@5 76.875 (77.574) Epoch: [42][4210/11272] Time 0.875 (0.792) Data 0.002 (0.002) Loss 1.9242 (2.0601) Prec@1 46.875 (47.073) Prec@5 78.125 (77.575) Epoch: [42][4220/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.9250 (2.0602) Prec@1 49.375 (47.067) Prec@5 78.125 (77.573) Epoch: [42][4230/11272] Time 0.879 (0.792) Data 0.001 (0.002) Loss 1.9591 (2.0604) Prec@1 50.625 (47.068) Prec@5 78.125 (77.569) Epoch: [42][4240/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.1696 (2.0606) Prec@1 44.375 (47.062) Prec@5 76.875 (77.565) Epoch: [42][4250/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 1.8398 (2.0605) Prec@1 53.750 (47.066) Prec@5 79.375 (77.566) Epoch: [42][4260/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0757 (2.0605) Prec@1 44.375 (47.065) Prec@5 78.750 (77.568) Epoch: [42][4270/11272] Time 0.860 (0.792) Data 0.001 (0.002) Loss 2.1923 (2.0603) Prec@1 47.500 (47.067) Prec@5 76.250 (77.572) Epoch: [42][4280/11272] Time 0.871 (0.792) Data 0.002 (0.002) Loss 2.3243 (2.0604) Prec@1 39.375 (47.062) Prec@5 76.250 (77.569) Epoch: [42][4290/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0329 (2.0603) Prec@1 50.000 (47.066) Prec@5 78.125 (77.573) Epoch: [42][4300/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.1642 (2.0602) Prec@1 43.750 (47.068) Prec@5 76.250 (77.577) Epoch: [42][4310/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1594 (2.0603) Prec@1 44.375 (47.067) Prec@5 78.125 (77.572) Epoch: [42][4320/11272] Time 0.834 (0.792) Data 0.002 (0.002) Loss 2.0892 (2.0604) Prec@1 48.125 (47.069) Prec@5 80.625 (77.570) Epoch: [42][4330/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 2.1759 (2.0605) Prec@1 43.125 (47.064) Prec@5 75.000 (77.568) Epoch: [42][4340/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1618 (2.0607) Prec@1 41.875 (47.059) Prec@5 78.125 (77.565) Epoch: [42][4350/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.2767 (2.0608) Prec@1 44.375 (47.054) Prec@5 80.625 (77.566) Epoch: [42][4360/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.2619 (2.0609) Prec@1 41.250 (47.049) Prec@5 73.750 (77.561) Epoch: [42][4370/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.6590 (2.0609) Prec@1 56.875 (47.051) Prec@5 85.000 (77.564) Epoch: [42][4380/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0902 (2.0611) Prec@1 50.000 (47.050) Prec@5 76.875 (77.561) Epoch: [42][4390/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.8137 (2.0610) Prec@1 51.250 (47.051) Prec@5 79.375 (77.563) Epoch: [42][4400/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.9811 (2.0608) Prec@1 46.875 (47.058) Prec@5 78.125 (77.567) Epoch: [42][4410/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 2.0083 (2.0608) Prec@1 47.500 (47.059) Prec@5 80.625 (77.566) Epoch: [42][4420/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.2512 (2.0607) Prec@1 42.500 (47.063) Prec@5 75.625 (77.568) Epoch: [42][4430/11272] Time 0.874 (0.792) Data 0.002 (0.002) Loss 2.1733 (2.0607) Prec@1 48.125 (47.067) Prec@5 73.125 (77.566) Epoch: [42][4440/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9701 (2.0606) Prec@1 50.000 (47.069) Prec@5 80.625 (77.569) Epoch: [42][4450/11272] Time 0.742 (0.792) Data 0.002 (0.002) Loss 1.8764 (2.0604) Prec@1 56.250 (47.074) Prec@5 83.125 (77.574) Epoch: [42][4460/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.0572 (2.0605) Prec@1 53.125 (47.076) Prec@5 72.500 (77.570) Epoch: [42][4470/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.9881 (2.0605) Prec@1 51.250 (47.075) Prec@5 77.500 (77.569) Epoch: [42][4480/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9235 (2.0606) Prec@1 46.875 (47.072) Prec@5 78.750 (77.569) Epoch: [42][4490/11272] Time 0.874 (0.792) Data 0.001 (0.002) Loss 2.1623 (2.0606) Prec@1 46.875 (47.073) Prec@5 78.750 (77.571) Epoch: [42][4500/11272] Time 0.860 (0.792) Data 0.001 (0.002) Loss 1.8424 (2.0605) Prec@1 54.375 (47.071) Prec@5 80.000 (77.574) Epoch: [42][4510/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 1.9764 (2.0606) Prec@1 49.375 (47.066) Prec@5 81.250 (77.574) Epoch: [42][4520/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 2.1750 (2.0606) Prec@1 42.500 (47.062) Prec@5 75.625 (77.571) Epoch: [42][4530/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 2.0593 (2.0607) Prec@1 44.375 (47.057) Prec@5 78.750 (77.570) Epoch: [42][4540/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 1.8900 (2.0608) Prec@1 52.500 (47.055) Prec@5 80.625 (77.566) Epoch: [42][4550/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 1.9868 (2.0610) Prec@1 46.250 (47.054) Prec@5 81.875 (77.563) Epoch: [42][4560/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0838 (2.0609) Prec@1 49.375 (47.053) Prec@5 77.500 (77.565) Epoch: [42][4570/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 2.1337 (2.0611) Prec@1 46.250 (47.049) Prec@5 75.000 (77.564) Epoch: [42][4580/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 1.8987 (2.0609) Prec@1 50.000 (47.053) Prec@5 83.125 (77.568) Epoch: [42][4590/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.1905 (2.0608) Prec@1 41.875 (47.057) Prec@5 75.000 (77.568) Epoch: [42][4600/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.1157 (2.0607) Prec@1 48.125 (47.056) Prec@5 74.375 (77.569) Epoch: [42][4610/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 2.1460 (2.0607) Prec@1 46.875 (47.054) Prec@5 78.750 (77.570) Epoch: [42][4620/11272] Time 0.724 (0.792) Data 0.003 (0.002) Loss 2.1157 (2.0608) Prec@1 46.250 (47.052) Prec@5 75.625 (77.568) Epoch: [42][4630/11272] Time 0.777 (0.792) Data 0.002 (0.002) Loss 1.8912 (2.0609) Prec@1 50.625 (47.048) Prec@5 81.250 (77.565) Epoch: [42][4640/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.1381 (2.0609) Prec@1 45.000 (47.051) Prec@5 73.750 (77.565) Epoch: [42][4650/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.1606 (2.0610) Prec@1 45.625 (47.049) Prec@5 73.125 (77.562) Epoch: [42][4660/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 2.1112 (2.0611) Prec@1 48.125 (47.049) Prec@5 78.125 (77.561) Epoch: [42][4670/11272] Time 0.776 (0.792) Data 0.002 (0.002) Loss 2.2416 (2.0611) Prec@1 44.375 (47.046) Prec@5 71.875 (77.561) Epoch: [42][4680/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 1.9541 (2.0609) Prec@1 51.875 (47.049) Prec@5 79.375 (77.562) Epoch: [42][4690/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.4376 (2.0609) Prec@1 41.875 (47.052) Prec@5 71.875 (77.566) Epoch: [42][4700/11272] Time 0.711 (0.792) Data 0.001 (0.002) Loss 1.8975 (2.0609) Prec@1 49.375 (47.056) Prec@5 81.875 (77.565) Epoch: [42][4710/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 2.1237 (2.0609) Prec@1 49.375 (47.052) Prec@5 72.500 (77.564) Epoch: [42][4720/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 1.9532 (2.0610) Prec@1 47.500 (47.050) Prec@5 80.625 (77.560) Epoch: [42][4730/11272] Time 0.831 (0.792) Data 0.002 (0.002) Loss 2.2366 (2.0611) Prec@1 40.000 (47.048) Prec@5 75.625 (77.557) Epoch: [42][4740/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.1099 (2.0611) Prec@1 48.750 (47.048) Prec@5 72.500 (77.554) Epoch: [42][4750/11272] Time 0.891 (0.792) Data 0.001 (0.002) Loss 2.3188 (2.0612) Prec@1 42.500 (47.045) Prec@5 74.375 (77.553) Epoch: [42][4760/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.6526 (2.0610) Prec@1 56.250 (47.046) Prec@5 83.125 (77.556) Epoch: [42][4770/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.9642 (2.0611) Prec@1 51.250 (47.046) Prec@5 78.750 (77.554) Epoch: [42][4780/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.9739 (2.0611) Prec@1 47.500 (47.044) Prec@5 80.000 (77.554) Epoch: [42][4790/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0159 (2.0610) Prec@1 48.125 (47.046) Prec@5 78.125 (77.557) Epoch: [42][4800/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.1087 (2.0610) Prec@1 43.750 (47.045) Prec@5 75.625 (77.554) Epoch: [42][4810/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.0772 (2.0611) Prec@1 43.125 (47.043) Prec@5 78.125 (77.555) Epoch: [42][4820/11272] Time 0.764 (0.792) Data 0.002 (0.002) Loss 1.8619 (2.0610) Prec@1 55.000 (47.042) Prec@5 80.000 (77.556) Epoch: [42][4830/11272] Time 0.850 (0.792) Data 0.002 (0.002) Loss 2.0465 (2.0611) Prec@1 47.500 (47.043) Prec@5 78.750 (77.555) Epoch: [42][4840/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 1.9879 (2.0610) Prec@1 46.250 (47.043) Prec@5 76.875 (77.556) Epoch: [42][4850/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 1.8505 (2.0610) Prec@1 53.750 (47.046) Prec@5 78.750 (77.554) Epoch: [42][4860/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.1294 (2.0610) Prec@1 45.000 (47.044) Prec@5 80.625 (77.554) Epoch: [42][4870/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.2360 (2.0611) Prec@1 43.125 (47.046) Prec@5 71.875 (77.553) Epoch: [42][4880/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 2.1942 (2.0612) Prec@1 43.125 (47.045) Prec@5 75.625 (77.553) Epoch: [42][4890/11272] Time 0.761 (0.792) Data 0.001 (0.002) Loss 2.0390 (2.0611) Prec@1 49.375 (47.047) Prec@5 78.125 (77.556) Epoch: [42][4900/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.3411 (2.0611) Prec@1 46.875 (47.049) Prec@5 70.625 (77.555) Epoch: [42][4910/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.9184 (2.0611) Prec@1 50.000 (47.050) Prec@5 78.125 (77.554) Epoch: [42][4920/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.0305 (2.0612) Prec@1 46.875 (47.047) Prec@5 78.750 (77.554) Epoch: [42][4930/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.1473 (2.0612) Prec@1 43.750 (47.046) Prec@5 75.625 (77.553) Epoch: [42][4940/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.1031 (2.0612) Prec@1 48.125 (47.045) Prec@5 79.375 (77.552) Epoch: [42][4950/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 1.8530 (2.0612) Prec@1 51.250 (47.048) Prec@5 81.875 (77.553) Epoch: [42][4960/11272] Time 0.745 (0.792) Data 0.001 (0.002) Loss 2.4301 (2.0613) Prec@1 36.250 (47.044) Prec@5 71.875 (77.551) Epoch: [42][4970/11272] Time 0.767 (0.792) Data 0.001 (0.002) Loss 1.9572 (2.0613) Prec@1 54.375 (47.043) Prec@5 76.875 (77.549) Epoch: [42][4980/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.2364 (2.0613) Prec@1 43.750 (47.046) Prec@5 75.000 (77.549) Epoch: [42][4990/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.0559 (2.0611) Prec@1 47.500 (47.048) Prec@5 77.500 (77.554) Epoch: [42][5000/11272] Time 0.722 (0.792) Data 0.002 (0.002) Loss 2.1222 (2.0613) Prec@1 50.625 (47.047) Prec@5 79.375 (77.551) Epoch: [42][5010/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.1199 (2.0613) Prec@1 44.375 (47.045) Prec@5 71.875 (77.551) Epoch: [42][5020/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0905 (2.0613) Prec@1 50.000 (47.044) Prec@5 73.750 (77.548) Epoch: [42][5030/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.1122 (2.0613) Prec@1 46.250 (47.042) Prec@5 76.875 (77.547) Epoch: [42][5040/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.1855 (2.0614) Prec@1 46.875 (47.039) Prec@5 75.000 (77.544) Epoch: [42][5050/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.2083 (2.0617) Prec@1 48.125 (47.035) Prec@5 72.500 (77.537) Epoch: [42][5060/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.9612 (2.0618) Prec@1 46.250 (47.032) Prec@5 78.125 (77.533) Epoch: [42][5070/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1344 (2.0619) Prec@1 45.625 (47.031) Prec@5 77.500 (77.531) Epoch: [42][5080/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.0672 (2.0620) Prec@1 46.875 (47.030) Prec@5 76.250 (77.528) Epoch: [42][5090/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0226 (2.0620) Prec@1 50.000 (47.030) Prec@5 76.875 (77.528) Epoch: [42][5100/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.1359 (2.0620) Prec@1 48.125 (47.031) Prec@5 78.125 (77.527) Epoch: [42][5110/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.0470 (2.0620) Prec@1 45.000 (47.030) Prec@5 76.250 (77.524) Epoch: [42][5120/11272] Time 0.749 (0.792) Data 0.001 (0.002) Loss 2.1271 (2.0621) Prec@1 45.625 (47.028) Prec@5 77.500 (77.525) Epoch: [42][5130/11272] Time 0.876 (0.792) Data 0.002 (0.002) Loss 2.1558 (2.0622) Prec@1 45.000 (47.026) Prec@5 76.250 (77.522) Epoch: [42][5140/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.2540 (2.0622) Prec@1 43.125 (47.025) Prec@5 72.500 (77.522) Epoch: [42][5150/11272] Time 0.763 (0.792) Data 0.002 (0.002) Loss 2.4869 (2.0624) Prec@1 40.625 (47.023) Prec@5 71.250 (77.521) Epoch: [42][5160/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 1.9841 (2.0624) Prec@1 52.500 (47.022) Prec@5 80.000 (77.520) Epoch: [42][5170/11272] Time 0.863 (0.792) Data 0.002 (0.002) Loss 1.9047 (2.0624) Prec@1 47.500 (47.024) Prec@5 79.375 (77.519) Epoch: [42][5180/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 1.9605 (2.0623) Prec@1 49.375 (47.024) Prec@5 81.250 (77.519) Epoch: [42][5190/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.2733 (2.0623) Prec@1 43.750 (47.026) Prec@5 70.625 (77.518) Epoch: [42][5200/11272] Time 0.812 (0.792) Data 0.002 (0.002) Loss 2.0023 (2.0623) Prec@1 48.750 (47.028) Prec@5 79.375 (77.518) Epoch: [42][5210/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.1422 (2.0622) Prec@1 44.375 (47.027) Prec@5 77.500 (77.521) Epoch: [42][5220/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 1.8238 (2.0622) Prec@1 53.750 (47.025) Prec@5 83.125 (77.520) Epoch: [42][5230/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 1.8446 (2.0621) Prec@1 55.000 (47.027) Prec@5 80.000 (77.522) Epoch: [42][5240/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.1464 (2.0621) Prec@1 40.625 (47.026) Prec@5 81.875 (77.523) Epoch: [42][5250/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.0464 (2.0621) Prec@1 45.625 (47.026) Prec@5 76.875 (77.524) Epoch: [42][5260/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 2.3097 (2.0622) Prec@1 43.750 (47.023) Prec@5 71.250 (77.519) Epoch: [42][5270/11272] Time 0.715 (0.792) Data 0.001 (0.002) Loss 2.0995 (2.0622) Prec@1 44.375 (47.024) Prec@5 75.625 (77.520) Epoch: [42][5280/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.1676 (2.0622) Prec@1 43.750 (47.025) Prec@5 73.750 (77.518) Epoch: [42][5290/11272] Time 0.763 (0.792) Data 0.001 (0.002) Loss 1.8580 (2.0621) Prec@1 55.000 (47.025) Prec@5 80.625 (77.520) Epoch: [42][5300/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.2395 (2.0621) Prec@1 44.375 (47.026) Prec@5 74.375 (77.520) Epoch: [42][5310/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.2334 (2.0622) Prec@1 44.375 (47.023) Prec@5 70.625 (77.517) Epoch: [42][5320/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.1452 (2.0622) Prec@1 40.625 (47.024) Prec@5 75.000 (77.518) Epoch: [42][5330/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 2.3628 (2.0623) Prec@1 45.000 (47.024) Prec@5 70.000 (77.516) Epoch: [42][5340/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 1.8890 (2.0624) Prec@1 50.625 (47.022) Prec@5 77.500 (77.515) Epoch: [42][5350/11272] Time 0.851 (0.792) Data 0.002 (0.002) Loss 2.0372 (2.0624) Prec@1 43.750 (47.020) Prec@5 80.000 (77.516) Epoch: [42][5360/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 1.8204 (2.0623) Prec@1 51.250 (47.021) Prec@5 78.750 (77.517) Epoch: [42][5370/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.0928 (2.0624) Prec@1 50.625 (47.020) Prec@5 75.000 (77.514) Epoch: [42][5380/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 2.2665 (2.0625) Prec@1 45.000 (47.020) Prec@5 75.625 (77.514) Epoch: [42][5390/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.2178 (2.0625) Prec@1 44.375 (47.018) Prec@5 77.500 (77.514) Epoch: [42][5400/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.9805 (2.0626) Prec@1 46.250 (47.015) Prec@5 78.125 (77.513) Epoch: [42][5410/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 2.2033 (2.0625) Prec@1 41.875 (47.015) Prec@5 73.750 (77.514) Epoch: [42][5420/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 1.7737 (2.0624) Prec@1 50.625 (47.017) Prec@5 84.375 (77.515) Epoch: [42][5430/11272] Time 0.843 (0.792) Data 0.002 (0.002) Loss 2.1453 (2.0625) Prec@1 45.000 (47.015) Prec@5 78.125 (77.514) Epoch: [42][5440/11272] Time 0.756 (0.792) Data 0.001 (0.002) Loss 1.8826 (2.0624) Prec@1 55.625 (47.019) Prec@5 80.000 (77.514) Epoch: [42][5450/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0314 (2.0625) Prec@1 45.625 (47.016) Prec@5 77.500 (77.512) Epoch: [42][5460/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.1293 (2.0624) Prec@1 43.125 (47.017) Prec@5 77.500 (77.511) Epoch: [42][5470/11272] Time 0.862 (0.792) Data 0.001 (0.002) Loss 1.9613 (2.0625) Prec@1 52.500 (47.017) Prec@5 83.125 (77.512) Epoch: [42][5480/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.9293 (2.0624) Prec@1 51.250 (47.017) Prec@5 81.875 (77.514) Epoch: [42][5490/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.2108 (2.0624) Prec@1 47.500 (47.021) Prec@5 73.750 (77.512) Epoch: [42][5500/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 1.9503 (2.0623) Prec@1 50.625 (47.024) Prec@5 80.625 (77.513) Epoch: [42][5510/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.3234 (2.0624) Prec@1 43.125 (47.024) Prec@5 70.625 (77.511) Epoch: [42][5520/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.3112 (2.0625) Prec@1 41.875 (47.023) Prec@5 72.500 (77.508) Epoch: [42][5530/11272] Time 0.717 (0.792) Data 0.001 (0.002) Loss 2.2145 (2.0626) Prec@1 45.000 (47.024) Prec@5 75.625 (77.507) Epoch: [42][5540/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.1118 (2.0625) Prec@1 50.000 (47.029) Prec@5 77.500 (77.507) Epoch: [42][5550/11272] Time 0.729 (0.792) Data 0.003 (0.002) Loss 2.0735 (2.0625) Prec@1 48.125 (47.030) Prec@5 75.000 (77.508) Epoch: [42][5560/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0177 (2.0626) Prec@1 48.125 (47.029) Prec@5 76.875 (77.507) Epoch: [42][5570/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 2.0796 (2.0625) Prec@1 45.000 (47.029) Prec@5 78.125 (77.507) Epoch: [42][5580/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 2.0387 (2.0627) Prec@1 48.750 (47.029) Prec@5 77.500 (77.504) Epoch: [42][5590/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.1920 (2.0628) Prec@1 41.250 (47.026) Prec@5 73.125 (77.502) Epoch: [42][5600/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.0869 (2.0629) Prec@1 49.375 (47.025) Prec@5 78.125 (77.500) Epoch: [42][5610/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 2.1948 (2.0627) Prec@1 44.375 (47.029) Prec@5 75.625 (77.504) Epoch: [42][5620/11272] Time 0.855 (0.792) Data 0.002 (0.002) Loss 2.1433 (2.0627) Prec@1 47.500 (47.030) Prec@5 78.750 (77.504) Epoch: [42][5630/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 1.8827 (2.0627) Prec@1 55.625 (47.032) Prec@5 80.000 (77.504) Epoch: [42][5640/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.2661 (2.0627) Prec@1 46.875 (47.034) Prec@5 75.625 (77.504) Epoch: [42][5650/11272] Time 0.864 (0.792) Data 0.002 (0.002) Loss 2.2613 (2.0628) Prec@1 43.125 (47.032) Prec@5 74.375 (77.502) Epoch: [42][5660/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.1134 (2.0629) Prec@1 46.250 (47.032) Prec@5 75.625 (77.500) Epoch: [42][5670/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.1285 (2.0629) Prec@1 46.250 (47.032) Prec@5 78.750 (77.503) Epoch: [42][5680/11272] Time 0.791 (0.792) Data 0.001 (0.002) Loss 2.1005 (2.0629) Prec@1 44.375 (47.032) Prec@5 76.250 (77.503) Epoch: [42][5690/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 2.2734 (2.0630) Prec@1 43.750 (47.035) Prec@5 71.250 (77.502) Epoch: [42][5700/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.1326 (2.0631) Prec@1 50.625 (47.034) Prec@5 72.500 (77.498) Epoch: [42][5710/11272] Time 0.755 (0.792) Data 0.001 (0.002) Loss 2.1406 (2.0630) Prec@1 45.625 (47.038) Prec@5 75.625 (77.498) Epoch: [42][5720/11272] Time 0.866 (0.792) Data 0.001 (0.002) Loss 2.2368 (2.0631) Prec@1 45.000 (47.038) Prec@5 75.625 (77.498) Epoch: [42][5730/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.1886 (2.0632) Prec@1 39.375 (47.035) Prec@5 75.625 (77.497) Epoch: [42][5740/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.7866 (2.0631) Prec@1 50.000 (47.037) Prec@5 81.250 (77.497) Epoch: [42][5750/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0267 (2.0631) Prec@1 50.000 (47.040) Prec@5 78.125 (77.498) Epoch: [42][5760/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 1.9225 (2.0630) Prec@1 51.250 (47.042) Prec@5 78.125 (77.500) Epoch: [42][5770/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 2.1239 (2.0630) Prec@1 49.375 (47.043) Prec@5 75.000 (77.500) Epoch: [42][5780/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.0057 (2.0629) Prec@1 46.250 (47.043) Prec@5 77.500 (77.501) Epoch: [42][5790/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.0178 (2.0629) Prec@1 45.000 (47.042) Prec@5 78.125 (77.501) Epoch: [42][5800/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 1.8165 (2.0628) Prec@1 47.500 (47.043) Prec@5 82.500 (77.502) Epoch: [42][5810/11272] Time 0.719 (0.792) Data 0.002 (0.002) Loss 2.1338 (2.0629) Prec@1 45.625 (47.042) Prec@5 71.250 (77.500) Epoch: [42][5820/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.9458 (2.0630) Prec@1 45.625 (47.040) Prec@5 78.125 (77.500) Epoch: [42][5830/11272] Time 0.865 (0.792) Data 0.001 (0.002) Loss 1.9708 (2.0629) Prec@1 51.875 (47.042) Prec@5 78.125 (77.503) Epoch: [42][5840/11272] Time 0.829 (0.792) Data 0.002 (0.002) Loss 1.8444 (2.0628) Prec@1 53.750 (47.042) Prec@5 81.250 (77.504) Epoch: [42][5850/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 2.2553 (2.0630) Prec@1 46.250 (47.040) Prec@5 78.125 (77.502) Epoch: [42][5860/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 1.9661 (2.0630) Prec@1 51.875 (47.040) Prec@5 80.625 (77.501) Epoch: [42][5870/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 1.9710 (2.0631) Prec@1 48.750 (47.040) Prec@5 81.875 (77.499) Epoch: [42][5880/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 1.9901 (2.0631) Prec@1 50.625 (47.041) Prec@5 77.500 (77.497) Epoch: [42][5890/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 2.0343 (2.0632) Prec@1 45.625 (47.040) Prec@5 80.000 (77.496) Epoch: [42][5900/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 1.9993 (2.0631) Prec@1 46.250 (47.038) Prec@5 81.875 (77.496) Epoch: [42][5910/11272] Time 0.881 (0.792) Data 0.001 (0.002) Loss 2.1416 (2.0632) Prec@1 45.625 (47.038) Prec@5 75.000 (77.495) Epoch: [42][5920/11272] Time 0.835 (0.792) Data 0.002 (0.002) Loss 2.1730 (2.0632) Prec@1 46.250 (47.040) Prec@5 74.375 (77.495) Epoch: [42][5930/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 2.1475 (2.0632) Prec@1 45.625 (47.038) Prec@5 75.625 (77.494) Epoch: [42][5940/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.3270 (2.0633) Prec@1 43.750 (47.037) Prec@5 72.500 (77.493) Epoch: [42][5950/11272] Time 0.809 (0.792) Data 0.002 (0.002) Loss 1.9666 (2.0632) Prec@1 50.625 (47.040) Prec@5 77.500 (77.494) Epoch: [42][5960/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.2831 (2.0633) Prec@1 46.250 (47.038) Prec@5 71.875 (77.494) Epoch: [42][5970/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.7908 (2.0633) Prec@1 55.000 (47.040) Prec@5 83.125 (77.492) Epoch: [42][5980/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.2198 (2.0634) Prec@1 42.500 (47.038) Prec@5 76.250 (77.490) Epoch: [42][5990/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.8933 (2.0634) Prec@1 46.250 (47.038) Prec@5 80.000 (77.489) Epoch: [42][6000/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.9327 (2.0634) Prec@1 49.375 (47.036) Prec@5 80.625 (77.489) Epoch: [42][6010/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 1.9554 (2.0634) Prec@1 48.750 (47.037) Prec@5 81.250 (77.491) Epoch: [42][6020/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 1.8078 (2.0634) Prec@1 48.750 (47.035) Prec@5 83.125 (77.493) Epoch: [42][6030/11272] Time 0.825 (0.792) Data 0.002 (0.002) Loss 2.3235 (2.0634) Prec@1 41.250 (47.033) Prec@5 73.750 (77.490) Epoch: [42][6040/11272] Time 0.752 (0.792) Data 0.002 (0.002) Loss 2.1121 (2.0634) Prec@1 43.750 (47.034) Prec@5 72.500 (77.492) Epoch: [42][6050/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 2.0369 (2.0635) Prec@1 50.000 (47.034) Prec@5 76.875 (77.492) Epoch: [42][6060/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 2.1397 (2.0635) Prec@1 38.125 (47.030) Prec@5 77.500 (77.492) Epoch: [42][6070/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 1.8182 (2.0634) Prec@1 54.375 (47.035) Prec@5 81.250 (77.492) Epoch: [42][6080/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 1.9030 (2.0634) Prec@1 48.750 (47.033) Prec@5 82.500 (77.492) Epoch: [42][6090/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 2.4181 (2.0635) Prec@1 42.500 (47.032) Prec@5 72.500 (77.493) Epoch: [42][6100/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 1.9598 (2.0634) Prec@1 42.500 (47.032) Prec@5 79.375 (77.493) Epoch: [42][6110/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.2166 (2.0636) Prec@1 45.625 (47.029) Prec@5 71.875 (77.491) Epoch: [42][6120/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.2754 (2.0636) Prec@1 41.250 (47.028) Prec@5 72.500 (77.489) Epoch: [42][6130/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 2.1517 (2.0636) Prec@1 43.125 (47.028) Prec@5 74.375 (77.491) Epoch: [42][6140/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 2.1945 (2.0636) Prec@1 47.500 (47.027) Prec@5 74.375 (77.491) Epoch: [42][6150/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.2093 (2.0636) Prec@1 40.000 (47.025) Prec@5 75.000 (77.493) Epoch: [42][6160/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 2.1452 (2.0637) Prec@1 43.750 (47.023) Prec@5 75.625 (77.490) Epoch: [42][6170/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.7428 (2.0636) Prec@1 55.000 (47.028) Prec@5 86.250 (77.493) Epoch: [42][6180/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.0470 (2.0636) Prec@1 48.125 (47.028) Prec@5 78.750 (77.494) Epoch: [42][6190/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.1977 (2.0636) Prec@1 42.500 (47.026) Prec@5 78.125 (77.495) Epoch: [42][6200/11272] Time 0.871 (0.792) Data 0.001 (0.002) Loss 2.1048 (2.0635) Prec@1 42.500 (47.028) Prec@5 76.250 (77.496) Epoch: [42][6210/11272] Time 0.887 (0.792) Data 0.002 (0.002) Loss 2.0406 (2.0634) Prec@1 52.500 (47.031) Prec@5 75.625 (77.496) Epoch: [42][6220/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.2367 (2.0635) Prec@1 44.375 (47.030) Prec@5 75.000 (77.496) Epoch: [42][6230/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 1.9666 (2.0634) Prec@1 46.875 (47.029) Prec@5 78.125 (77.497) Epoch: [42][6240/11272] Time 0.873 (0.792) Data 0.001 (0.002) Loss 1.9656 (2.0634) Prec@1 48.750 (47.029) Prec@5 80.625 (77.498) Epoch: [42][6250/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.2853 (2.0635) Prec@1 46.875 (47.028) Prec@5 73.750 (77.499) Epoch: [42][6260/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 2.1481 (2.0635) Prec@1 43.125 (47.024) Prec@5 74.375 (77.497) Epoch: [42][6270/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.9120 (2.0635) Prec@1 53.125 (47.024) Prec@5 77.500 (77.498) Epoch: [42][6280/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.9883 (2.0635) Prec@1 53.125 (47.024) Prec@5 76.250 (77.498) Epoch: [42][6290/11272] Time 0.912 (0.793) Data 0.002 (0.002) Loss 1.9496 (2.0634) Prec@1 50.000 (47.024) Prec@5 76.875 (77.500) Epoch: [42][6300/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0325 (2.0635) Prec@1 46.250 (47.023) Prec@5 77.500 (77.499) Epoch: [42][6310/11272] Time 0.755 (0.792) Data 0.001 (0.002) Loss 2.1198 (2.0635) Prec@1 48.750 (47.021) Prec@5 76.250 (77.498) Epoch: [42][6320/11272] Time 0.829 (0.792) Data 0.002 (0.002) Loss 2.1499 (2.0635) Prec@1 49.375 (47.023) Prec@5 76.250 (77.499) Epoch: [42][6330/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.3216 (2.0637) Prec@1 41.250 (47.022) Prec@5 75.000 (77.497) Epoch: [42][6340/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 2.0025 (2.0637) Prec@1 48.125 (47.021) Prec@5 78.750 (77.497) Epoch: [42][6350/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 1.9684 (2.0637) Prec@1 48.125 (47.019) Prec@5 79.375 (77.498) Epoch: [42][6360/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.1019 (2.0636) Prec@1 45.000 (47.020) Prec@5 79.375 (77.500) Epoch: [42][6370/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.0192 (2.0635) Prec@1 51.250 (47.020) Prec@5 77.500 (77.502) Epoch: [42][6380/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0173 (2.0635) Prec@1 47.500 (47.022) Prec@5 78.125 (77.503) Epoch: [42][6390/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.9008 (2.0635) Prec@1 48.750 (47.021) Prec@5 75.625 (77.503) Epoch: [42][6400/11272] Time 0.805 (0.792) Data 0.002 (0.002) Loss 1.7776 (2.0635) Prec@1 51.250 (47.020) Prec@5 83.750 (77.503) Epoch: [42][6410/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.0861 (2.0634) Prec@1 43.125 (47.021) Prec@5 76.250 (77.504) Epoch: [42][6420/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.2061 (2.0634) Prec@1 44.375 (47.021) Prec@5 73.125 (77.503) Epoch: [42][6430/11272] Time 0.814 (0.792) Data 0.001 (0.002) Loss 2.0327 (2.0635) Prec@1 48.750 (47.020) Prec@5 75.000 (77.501) Epoch: [42][6440/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.0437 (2.0636) Prec@1 46.250 (47.019) Prec@5 78.125 (77.498) Epoch: [42][6450/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.2781 (2.0635) Prec@1 43.125 (47.020) Prec@5 71.875 (77.499) Epoch: [42][6460/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 2.1568 (2.0636) Prec@1 45.625 (47.019) Prec@5 74.375 (77.498) Epoch: [42][6470/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.0864 (2.0636) Prec@1 46.250 (47.018) Prec@5 76.250 (77.501) Epoch: [42][6480/11272] Time 0.727 (0.792) Data 0.003 (0.002) Loss 2.1714 (2.0636) Prec@1 48.125 (47.019) Prec@5 76.875 (77.501) Epoch: [42][6490/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.3425 (2.0636) Prec@1 41.250 (47.018) Prec@5 70.625 (77.500) Epoch: [42][6500/11272] Time 0.957 (0.792) Data 0.002 (0.002) Loss 2.0822 (2.0637) Prec@1 43.750 (47.016) Prec@5 79.375 (77.499) Epoch: [42][6510/11272] Time 0.819 (0.792) Data 0.002 (0.002) Loss 2.0049 (2.0636) Prec@1 45.625 (47.017) Prec@5 76.250 (77.500) Epoch: [42][6520/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 2.3612 (2.0637) Prec@1 44.375 (47.017) Prec@5 71.875 (77.497) Epoch: [42][6530/11272] Time 0.771 (0.792) Data 0.002 (0.002) Loss 2.1087 (2.0637) Prec@1 45.625 (47.019) Prec@5 75.625 (77.498) Epoch: [42][6540/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.9590 (2.0636) Prec@1 49.375 (47.019) Prec@5 76.250 (77.497) Epoch: [42][6550/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.1868 (2.0637) Prec@1 46.250 (47.015) Prec@5 73.125 (77.497) Epoch: [42][6560/11272] Time 0.756 (0.792) Data 0.002 (0.002) Loss 2.3827 (2.0638) Prec@1 43.750 (47.014) Prec@5 70.000 (77.497) Epoch: [42][6570/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 1.9856 (2.0637) Prec@1 45.000 (47.015) Prec@5 78.750 (77.497) Epoch: [42][6580/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 2.0810 (2.0637) Prec@1 43.125 (47.016) Prec@5 78.750 (77.499) Epoch: [42][6590/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.2920 (2.0637) Prec@1 48.125 (47.017) Prec@5 73.750 (77.497) Epoch: [42][6600/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 2.0811 (2.0636) Prec@1 48.125 (47.018) Prec@5 75.000 (77.497) Epoch: [42][6610/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 1.9525 (2.0636) Prec@1 41.875 (47.017) Prec@5 81.250 (77.499) Epoch: [42][6620/11272] Time 0.811 (0.793) Data 0.001 (0.002) Loss 1.9328 (2.0635) Prec@1 46.250 (47.018) Prec@5 80.000 (77.501) Epoch: [42][6630/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.8667 (2.0634) Prec@1 49.375 (47.020) Prec@5 80.625 (77.502) Epoch: [42][6640/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.9161 (2.0633) Prec@1 50.625 (47.021) Prec@5 80.000 (77.501) Epoch: [42][6650/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 2.0331 (2.0633) Prec@1 50.625 (47.020) Prec@5 76.250 (77.502) Epoch: [42][6660/11272] Time 0.820 (0.793) Data 0.001 (0.002) Loss 2.0141 (2.0633) Prec@1 52.500 (47.020) Prec@5 76.250 (77.500) Epoch: [42][6670/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.0827 (2.0633) Prec@1 46.250 (47.019) Prec@5 78.750 (77.500) Epoch: [42][6680/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1650 (2.0634) Prec@1 45.000 (47.019) Prec@5 77.500 (77.500) Epoch: [42][6690/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 2.0250 (2.0633) Prec@1 49.375 (47.019) Prec@5 78.125 (77.503) Epoch: [42][6700/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 2.1874 (2.0634) Prec@1 44.375 (47.019) Prec@5 73.750 (77.501) Epoch: [42][6710/11272] Time 0.752 (0.793) Data 0.002 (0.002) Loss 2.0491 (2.0634) Prec@1 46.250 (47.016) Prec@5 76.250 (77.499) Epoch: [42][6720/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 2.0090 (2.0634) Prec@1 50.000 (47.017) Prec@5 75.625 (77.500) Epoch: [42][6730/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 2.2375 (2.0634) Prec@1 41.250 (47.018) Prec@5 75.625 (77.500) Epoch: [42][6740/11272] Time 0.720 (0.793) Data 0.003 (0.002) Loss 1.9200 (2.0633) Prec@1 50.000 (47.020) Prec@5 79.375 (77.501) Epoch: [42][6750/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 2.1432 (2.0633) Prec@1 41.875 (47.019) Prec@5 75.625 (77.501) Epoch: [42][6760/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 2.1061 (2.0633) Prec@1 45.000 (47.021) Prec@5 77.500 (77.501) Epoch: [42][6770/11272] Time 0.812 (0.793) Data 0.001 (0.002) Loss 1.9884 (2.0633) Prec@1 46.875 (47.020) Prec@5 80.000 (77.501) Epoch: [42][6780/11272] Time 0.761 (0.793) Data 0.002 (0.002) Loss 2.1996 (2.0634) Prec@1 44.375 (47.019) Prec@5 76.875 (77.499) Epoch: [42][6790/11272] Time 0.742 (0.793) Data 0.002 (0.002) Loss 1.8273 (2.0634) Prec@1 50.625 (47.019) Prec@5 81.250 (77.499) Epoch: [42][6800/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 2.1185 (2.0633) Prec@1 48.125 (47.018) Prec@5 77.500 (77.499) Epoch: [42][6810/11272] Time 0.815 (0.793) Data 0.002 (0.002) Loss 1.9950 (2.0633) Prec@1 46.875 (47.019) Prec@5 78.125 (77.499) Epoch: [42][6820/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.8736 (2.0634) Prec@1 51.250 (47.017) Prec@5 83.125 (77.499) Epoch: [42][6830/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.9184 (2.0634) Prec@1 50.625 (47.016) Prec@5 80.625 (77.501) Epoch: [42][6840/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 2.2765 (2.0634) Prec@1 39.375 (47.015) Prec@5 71.875 (77.499) Epoch: [42][6850/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 2.1842 (2.0634) Prec@1 43.750 (47.014) Prec@5 76.875 (77.499) Epoch: [42][6860/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.1151 (2.0635) Prec@1 47.500 (47.012) Prec@5 76.250 (77.498) Epoch: [42][6870/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 2.2182 (2.0635) Prec@1 46.250 (47.011) Prec@5 76.875 (77.499) Epoch: [42][6880/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.8171 (2.0636) Prec@1 48.125 (47.011) Prec@5 82.500 (77.498) Epoch: [42][6890/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.8154 (2.0635) Prec@1 45.625 (47.012) Prec@5 84.375 (77.500) Epoch: [42][6900/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.0960 (2.0636) Prec@1 44.375 (47.010) Prec@5 76.250 (77.497) Epoch: [42][6910/11272] Time 0.806 (0.793) Data 0.001 (0.002) Loss 2.0465 (2.0635) Prec@1 50.625 (47.013) Prec@5 74.375 (77.497) Epoch: [42][6920/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 2.0211 (2.0636) Prec@1 50.000 (47.012) Prec@5 78.125 (77.495) Epoch: [42][6930/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.8983 (2.0636) Prec@1 46.875 (47.013) Prec@5 78.750 (77.494) Epoch: [42][6940/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.0567 (2.0636) Prec@1 48.125 (47.013) Prec@5 76.875 (77.492) Epoch: [42][6950/11272] Time 0.825 (0.792) Data 0.002 (0.002) Loss 2.0742 (2.0637) Prec@1 41.250 (47.012) Prec@5 80.625 (77.491) Epoch: [42][6960/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 1.9367 (2.0637) Prec@1 49.375 (47.011) Prec@5 77.500 (77.490) Epoch: [42][6970/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.3418 (2.0638) Prec@1 43.125 (47.010) Prec@5 73.125 (77.488) Epoch: [42][6980/11272] Time 0.725 (0.792) Data 0.002 (0.002) Loss 2.0375 (2.0638) Prec@1 49.375 (47.011) Prec@5 76.875 (77.485) Epoch: [42][6990/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 2.1133 (2.0640) Prec@1 45.625 (47.008) Prec@5 75.625 (77.484) Epoch: [42][7000/11272] Time 0.840 (0.793) Data 0.002 (0.002) Loss 2.3398 (2.0640) Prec@1 41.875 (47.007) Prec@5 71.875 (77.484) Epoch: [42][7010/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 2.2767 (2.0640) Prec@1 46.250 (47.007) Prec@5 72.500 (77.483) Epoch: [42][7020/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0799 (2.0640) Prec@1 48.125 (47.008) Prec@5 77.500 (77.483) Epoch: [42][7030/11272] Time 0.880 (0.793) Data 0.001 (0.002) Loss 2.2352 (2.0641) Prec@1 43.750 (47.006) Prec@5 72.500 (77.482) Epoch: [42][7040/11272] Time 0.779 (0.792) Data 0.001 (0.002) Loss 1.8660 (2.0641) Prec@1 52.500 (47.006) Prec@5 81.250 (77.481) Epoch: [42][7050/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 1.7926 (2.0642) Prec@1 56.250 (47.006) Prec@5 81.875 (77.479) Epoch: [42][7060/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.3315 (2.0643) Prec@1 41.875 (47.005) Prec@5 70.625 (77.477) Epoch: [42][7070/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0128 (2.0643) Prec@1 46.250 (47.003) Prec@5 76.250 (77.475) Epoch: [42][7080/11272] Time 0.719 (0.792) Data 0.002 (0.002) Loss 2.0654 (2.0643) Prec@1 46.875 (47.004) Prec@5 76.875 (77.475) Epoch: [42][7090/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.1542 (2.0643) Prec@1 45.625 (47.003) Prec@5 80.625 (77.476) Epoch: [42][7100/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 2.0445 (2.0643) Prec@1 49.375 (47.003) Prec@5 75.625 (77.476) Epoch: [42][7110/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.2072 (2.0644) Prec@1 45.625 (46.999) Prec@5 75.625 (77.475) Epoch: [42][7120/11272] Time 0.709 (0.792) Data 0.001 (0.002) Loss 1.9055 (2.0644) Prec@1 51.875 (47.001) Prec@5 81.250 (77.475) Epoch: [42][7130/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.9703 (2.0643) Prec@1 49.375 (47.002) Prec@5 79.375 (77.475) Epoch: [42][7140/11272] Time 0.861 (0.792) Data 0.001 (0.002) Loss 2.1153 (2.0643) Prec@1 48.750 (47.002) Prec@5 75.000 (77.476) Epoch: [42][7150/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.2568 (2.0643) Prec@1 46.250 (47.001) Prec@5 74.375 (77.476) Epoch: [42][7160/11272] Time 0.732 (0.792) Data 0.002 (0.002) Loss 1.9803 (2.0643) Prec@1 49.375 (47.001) Prec@5 78.125 (77.476) Epoch: [42][7170/11272] Time 0.893 (0.792) Data 0.002 (0.002) Loss 1.8507 (2.0643) Prec@1 51.250 (47.002) Prec@5 82.500 (77.478) Epoch: [42][7180/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 2.1909 (2.0643) Prec@1 44.375 (47.000) Prec@5 78.750 (77.478) Epoch: [42][7190/11272] Time 0.712 (0.792) Data 0.001 (0.002) Loss 2.1700 (2.0644) Prec@1 45.625 (46.997) Prec@5 75.625 (77.477) Epoch: [42][7200/11272] Time 0.752 (0.792) Data 0.001 (0.002) Loss 2.1397 (2.0644) Prec@1 48.750 (46.996) Prec@5 76.250 (77.476) Epoch: [42][7210/11272] Time 0.895 (0.793) Data 0.001 (0.002) Loss 1.9991 (2.0644) Prec@1 46.875 (46.997) Prec@5 80.000 (77.476) Epoch: [42][7220/11272] Time 0.855 (0.792) Data 0.002 (0.002) Loss 2.0343 (2.0645) Prec@1 52.500 (46.995) Prec@5 76.250 (77.474) Epoch: [42][7230/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9770 (2.0645) Prec@1 51.875 (46.995) Prec@5 77.500 (77.473) Epoch: [42][7240/11272] Time 0.727 (0.792) Data 0.002 (0.002) Loss 2.0250 (2.0645) Prec@1 46.875 (46.996) Prec@5 78.750 (77.475) Epoch: [42][7250/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0197 (2.0645) Prec@1 45.625 (46.998) Prec@5 79.375 (77.475) Epoch: [42][7260/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.1540 (2.0644) Prec@1 43.750 (46.999) Prec@5 72.500 (77.476) Epoch: [42][7270/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9126 (2.0645) Prec@1 50.000 (47.001) Prec@5 78.125 (77.476) Epoch: [42][7280/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 2.0502 (2.0645) Prec@1 46.250 (46.999) Prec@5 76.875 (77.476) Epoch: [42][7290/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.9638 (2.0646) Prec@1 48.125 (46.997) Prec@5 77.500 (77.474) Epoch: [42][7300/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 2.0553 (2.0646) Prec@1 50.000 (46.996) Prec@5 73.750 (77.473) Epoch: [42][7310/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 2.0531 (2.0646) Prec@1 55.000 (46.997) Prec@5 76.250 (77.472) Epoch: [42][7320/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 2.0550 (2.0647) Prec@1 43.750 (46.995) Prec@5 80.000 (77.471) Epoch: [42][7330/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.9928 (2.0647) Prec@1 51.250 (46.996) Prec@5 82.500 (77.471) Epoch: [42][7340/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 2.0415 (2.0647) Prec@1 47.500 (46.996) Prec@5 78.750 (77.472) Epoch: [42][7350/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 2.2013 (2.0647) Prec@1 42.500 (46.995) Prec@5 73.750 (77.471) Epoch: [42][7360/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.9904 (2.0647) Prec@1 46.250 (46.994) Prec@5 79.375 (77.472) Epoch: [42][7370/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 2.2274 (2.0647) Prec@1 40.625 (46.995) Prec@5 78.750 (77.473) Epoch: [42][7380/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.8948 (2.0647) Prec@1 51.250 (46.993) Prec@5 81.875 (77.472) Epoch: [42][7390/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 2.1836 (2.0648) Prec@1 48.750 (46.991) Prec@5 73.750 (77.471) Epoch: [42][7400/11272] Time 0.810 (0.793) Data 0.002 (0.002) Loss 2.2259 (2.0649) Prec@1 43.750 (46.989) Prec@5 73.125 (77.470) Epoch: [42][7410/11272] Time 0.721 (0.792) Data 0.003 (0.002) Loss 1.8611 (2.0648) Prec@1 55.625 (46.994) Prec@5 81.250 (77.473) Epoch: [42][7420/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1249 (2.0648) Prec@1 47.500 (46.995) Prec@5 73.750 (77.473) Epoch: [42][7430/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.0296 (2.0647) Prec@1 47.500 (46.995) Prec@5 80.625 (77.473) Epoch: [42][7440/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 1.9012 (2.0647) Prec@1 52.500 (46.994) Prec@5 83.125 (77.474) Epoch: [42][7450/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0766 (2.0646) Prec@1 43.750 (46.994) Prec@5 76.250 (77.476) Epoch: [42][7460/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.0127 (2.0646) Prec@1 48.750 (46.996) Prec@5 78.125 (77.476) Epoch: [42][7470/11272] Time 0.854 (0.792) Data 0.002 (0.002) Loss 2.3113 (2.0646) Prec@1 42.500 (46.997) Prec@5 73.125 (77.477) Epoch: [42][7480/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.2615 (2.0646) Prec@1 41.250 (46.999) Prec@5 75.000 (77.477) Epoch: [42][7490/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.7419 (2.0645) Prec@1 49.375 (46.998) Prec@5 83.125 (77.479) Epoch: [42][7500/11272] Time 0.720 (0.792) Data 0.001 (0.002) Loss 2.3856 (2.0646) Prec@1 41.250 (46.997) Prec@5 73.125 (77.479) Epoch: [42][7510/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 2.2250 (2.0646) Prec@1 44.375 (46.998) Prec@5 75.000 (77.477) Epoch: [42][7520/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 1.9882 (2.0645) Prec@1 47.500 (46.998) Prec@5 75.625 (77.477) Epoch: [42][7530/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9794 (2.0646) Prec@1 51.875 (46.996) Prec@5 76.875 (77.476) Epoch: [42][7540/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.0975 (2.0646) Prec@1 47.500 (46.996) Prec@5 80.625 (77.476) Epoch: [42][7550/11272] Time 0.852 (0.792) Data 0.002 (0.002) Loss 1.9172 (2.0646) Prec@1 55.000 (46.998) Prec@5 78.125 (77.476) Epoch: [42][7560/11272] Time 0.766 (0.792) Data 0.002 (0.002) Loss 2.0484 (2.0646) Prec@1 48.750 (46.998) Prec@5 76.875 (77.475) Epoch: [42][7570/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1842 (2.0646) Prec@1 48.750 (47.000) Prec@5 72.500 (77.475) Epoch: [42][7580/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.1289 (2.0646) Prec@1 44.375 (47.000) Prec@5 76.875 (77.474) Epoch: [42][7590/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.0872 (2.0645) Prec@1 45.000 (47.002) Prec@5 79.375 (77.475) Epoch: [42][7600/11272] Time 0.720 (0.792) Data 0.002 (0.002) Loss 2.0712 (2.0645) Prec@1 49.375 (47.002) Prec@5 78.750 (77.475) Epoch: [42][7610/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.1596 (2.0645) Prec@1 43.750 (47.002) Prec@5 74.375 (77.475) Epoch: [42][7620/11272] Time 0.861 (0.792) Data 0.001 (0.002) Loss 2.0425 (2.0645) Prec@1 48.750 (47.003) Prec@5 75.000 (77.475) Epoch: [42][7630/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.1155 (2.0645) Prec@1 41.875 (47.001) Prec@5 75.000 (77.474) Epoch: [42][7640/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.0539 (2.0645) Prec@1 46.250 (47.001) Prec@5 78.125 (77.474) Epoch: [42][7650/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0648 (2.0644) Prec@1 50.625 (47.002) Prec@5 80.000 (77.477) Epoch: [42][7660/11272] Time 0.805 (0.792) Data 0.001 (0.002) Loss 2.3050 (2.0645) Prec@1 40.000 (46.998) Prec@5 75.000 (77.474) Epoch: [42][7670/11272] Time 0.791 (0.792) Data 0.004 (0.002) Loss 1.9508 (2.0646) Prec@1 50.000 (46.997) Prec@5 77.500 (77.473) Epoch: [42][7680/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.0832 (2.0646) Prec@1 46.875 (46.995) Prec@5 78.125 (77.472) Epoch: [42][7690/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 1.9768 (2.0646) Prec@1 46.875 (46.993) Prec@5 77.500 (77.472) Epoch: [42][7700/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.0284 (2.0645) Prec@1 50.000 (46.996) Prec@5 80.000 (77.474) Epoch: [42][7710/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9701 (2.0646) Prec@1 50.625 (46.995) Prec@5 77.500 (77.473) Epoch: [42][7720/11272] Time 0.754 (0.792) Data 0.002 (0.002) Loss 2.0618 (2.0647) Prec@1 45.625 (46.991) Prec@5 78.125 (77.471) Epoch: [42][7730/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 2.0347 (2.0647) Prec@1 49.375 (46.990) Prec@5 76.250 (77.470) Epoch: [42][7740/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.9566 (2.0648) Prec@1 49.375 (46.988) Prec@5 80.000 (77.470) Epoch: [42][7750/11272] Time 0.724 (0.792) Data 0.002 (0.002) Loss 1.9766 (2.0648) Prec@1 47.500 (46.988) Prec@5 80.000 (77.471) Epoch: [42][7760/11272] Time 0.711 (0.792) Data 0.001 (0.002) Loss 2.1249 (2.0648) Prec@1 43.125 (46.986) Prec@5 74.375 (77.471) Epoch: [42][7770/11272] Time 0.882 (0.792) Data 0.001 (0.002) Loss 2.3207 (2.0649) Prec@1 40.625 (46.983) Prec@5 72.500 (77.470) Epoch: [42][7780/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.0974 (2.0650) Prec@1 45.000 (46.982) Prec@5 76.875 (77.469) Epoch: [42][7790/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.0203 (2.0650) Prec@1 48.750 (46.981) Prec@5 78.125 (77.469) Epoch: [42][7800/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.2443 (2.0650) Prec@1 45.000 (46.981) Prec@5 76.250 (77.468) Epoch: [42][7810/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.1082 (2.0650) Prec@1 46.875 (46.981) Prec@5 75.625 (77.469) Epoch: [42][7820/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.1674 (2.0649) Prec@1 45.000 (46.981) Prec@5 74.375 (77.470) Epoch: [42][7830/11272] Time 0.715 (0.792) Data 0.001 (0.002) Loss 2.1581 (2.0649) Prec@1 42.500 (46.980) Prec@5 76.250 (77.470) Epoch: [42][7840/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.0041 (2.0648) Prec@1 48.125 (46.981) Prec@5 81.250 (77.472) Epoch: [42][7850/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.0219 (2.0649) Prec@1 43.125 (46.980) Prec@5 83.125 (77.472) Epoch: [42][7860/11272] Time 0.758 (0.792) Data 0.002 (0.002) Loss 1.7691 (2.0649) Prec@1 55.000 (46.978) Prec@5 86.250 (77.471) Epoch: [42][7870/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.2327 (2.0650) Prec@1 43.750 (46.977) Prec@5 73.750 (77.470) Epoch: [42][7880/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 1.8293 (2.0650) Prec@1 55.625 (46.978) Prec@5 77.500 (77.469) Epoch: [42][7890/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.3953 (2.0650) Prec@1 42.500 (46.979) Prec@5 71.875 (77.469) Epoch: [42][7900/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.1178 (2.0651) Prec@1 44.375 (46.978) Prec@5 72.500 (77.468) Epoch: [42][7910/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.8836 (2.0650) Prec@1 47.500 (46.978) Prec@5 80.625 (77.468) Epoch: [42][7920/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 2.1724 (2.0650) Prec@1 42.500 (46.977) Prec@5 75.625 (77.467) Epoch: [42][7930/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.2243 (2.0650) Prec@1 40.625 (46.973) Prec@5 73.125 (77.465) Epoch: [42][7940/11272] Time 0.706 (0.792) Data 0.001 (0.002) Loss 2.1648 (2.0650) Prec@1 48.125 (46.973) Prec@5 71.875 (77.464) Epoch: [42][7950/11272] Time 0.871 (0.792) Data 0.001 (0.002) Loss 2.1321 (2.0650) Prec@1 43.125 (46.972) Prec@5 75.625 (77.464) Epoch: [42][7960/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1158 (2.0651) Prec@1 43.750 (46.971) Prec@5 76.250 (77.462) Epoch: [42][7970/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.2117 (2.0652) Prec@1 44.375 (46.970) Prec@5 75.000 (77.460) Epoch: [42][7980/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.3074 (2.0652) Prec@1 40.625 (46.969) Prec@5 70.000 (77.460) Epoch: [42][7990/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 1.9855 (2.0652) Prec@1 48.125 (46.970) Prec@5 76.250 (77.459) Epoch: [42][8000/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 1.7695 (2.0653) Prec@1 54.375 (46.969) Prec@5 83.125 (77.458) Epoch: [42][8010/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.3568 (2.0653) Prec@1 42.500 (46.969) Prec@5 72.500 (77.458) Epoch: [42][8020/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9600 (2.0653) Prec@1 49.375 (46.968) Prec@5 80.000 (77.458) Epoch: [42][8030/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0736 (2.0653) Prec@1 44.375 (46.967) Prec@5 78.125 (77.456) Epoch: [42][8040/11272] Time 0.852 (0.792) Data 0.002 (0.002) Loss 1.9127 (2.0654) Prec@1 47.500 (46.966) Prec@5 80.000 (77.454) Epoch: [42][8050/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.1305 (2.0655) Prec@1 42.500 (46.967) Prec@5 76.250 (77.453) Epoch: [42][8060/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 2.2370 (2.0655) Prec@1 46.250 (46.964) Prec@5 76.875 (77.452) Epoch: [42][8070/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 1.7738 (2.0655) Prec@1 53.750 (46.963) Prec@5 81.250 (77.452) Epoch: [42][8080/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 2.1744 (2.0655) Prec@1 43.125 (46.962) Prec@5 76.250 (77.453) Epoch: [42][8090/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1817 (2.0655) Prec@1 42.500 (46.961) Prec@5 75.625 (77.452) Epoch: [42][8100/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.0573 (2.0656) Prec@1 43.750 (46.960) Prec@5 81.250 (77.452) Epoch: [42][8110/11272] Time 0.855 (0.792) Data 0.002 (0.002) Loss 1.8802 (2.0655) Prec@1 50.625 (46.964) Prec@5 81.875 (77.454) Epoch: [42][8120/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9619 (2.0654) Prec@1 46.250 (46.966) Prec@5 78.125 (77.455) Epoch: [42][8130/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.0093 (2.0654) Prec@1 46.875 (46.962) Prec@5 79.375 (77.457) Epoch: [42][8140/11272] Time 0.841 (0.792) Data 0.002 (0.002) Loss 2.3057 (2.0655) Prec@1 39.375 (46.960) Prec@5 72.500 (77.457) Epoch: [42][8150/11272] Time 0.886 (0.792) Data 0.001 (0.002) Loss 2.1541 (2.0655) Prec@1 43.125 (46.956) Prec@5 76.250 (77.458) Epoch: [42][8160/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.1462 (2.0656) Prec@1 40.625 (46.955) Prec@5 76.875 (77.457) Epoch: [42][8170/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.0398 (2.0656) Prec@1 50.000 (46.956) Prec@5 80.625 (77.456) Epoch: [42][8180/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.0261 (2.0656) Prec@1 44.375 (46.955) Prec@5 78.125 (77.455) Epoch: [42][8190/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.2045 (2.0656) Prec@1 41.250 (46.953) Prec@5 73.750 (77.454) Epoch: [42][8200/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.9698 (2.0656) Prec@1 49.375 (46.954) Prec@5 75.000 (77.453) Epoch: [42][8210/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1866 (2.0655) Prec@1 44.375 (46.957) Prec@5 75.625 (77.454) Epoch: [42][8220/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.8534 (2.0656) Prec@1 47.500 (46.956) Prec@5 85.625 (77.453) Epoch: [42][8230/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.1003 (2.0657) Prec@1 44.375 (46.956) Prec@5 78.750 (77.451) Epoch: [42][8240/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.0510 (2.0657) Prec@1 46.875 (46.955) Prec@5 76.875 (77.450) Epoch: [42][8250/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.0159 (2.0657) Prec@1 47.500 (46.957) Prec@5 77.500 (77.451) Epoch: [42][8260/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 1.9196 (2.0657) Prec@1 51.250 (46.955) Prec@5 80.625 (77.451) Epoch: [42][8270/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.0996 (2.0657) Prec@1 50.000 (46.957) Prec@5 76.250 (77.450) Epoch: [42][8280/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 1.8930 (2.0657) Prec@1 53.750 (46.957) Prec@5 78.750 (77.451) Epoch: [42][8290/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.0994 (2.0659) Prec@1 45.000 (46.953) Prec@5 80.000 (77.448) Epoch: [42][8300/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 1.9128 (2.0659) Prec@1 52.500 (46.952) Prec@5 81.250 (77.448) Epoch: [42][8310/11272] Time 0.762 (0.792) Data 0.002 (0.002) Loss 2.0066 (2.0659) Prec@1 43.750 (46.952) Prec@5 82.500 (77.448) Epoch: [42][8320/11272] Time 0.761 (0.792) Data 0.002 (0.002) Loss 1.9645 (2.0659) Prec@1 50.000 (46.953) Prec@5 79.375 (77.447) Epoch: [42][8330/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.2423 (2.0659) Prec@1 43.750 (46.950) Prec@5 75.625 (77.447) Epoch: [42][8340/11272] Time 0.732 (0.792) Data 0.003 (0.002) Loss 2.1868 (2.0659) Prec@1 43.750 (46.950) Prec@5 79.375 (77.447) Epoch: [42][8350/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.1322 (2.0659) Prec@1 42.500 (46.949) Prec@5 77.500 (77.448) Epoch: [42][8360/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.3708 (2.0660) Prec@1 42.500 (46.949) Prec@5 73.750 (77.447) Epoch: [42][8370/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.1415 (2.0660) Prec@1 43.750 (46.951) Prec@5 80.625 (77.448) Epoch: [42][8380/11272] Time 0.763 (0.792) Data 0.001 (0.002) Loss 2.0067 (2.0660) Prec@1 50.000 (46.950) Prec@5 75.625 (77.450) Epoch: [42][8390/11272] Time 0.752 (0.792) Data 0.001 (0.002) Loss 2.1256 (2.0661) Prec@1 46.250 (46.949) Prec@5 72.500 (77.446) Epoch: [42][8400/11272] Time 0.836 (0.792) Data 0.002 (0.002) Loss 2.2240 (2.0661) Prec@1 43.125 (46.950) Prec@5 73.750 (77.447) Epoch: [42][8410/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0905 (2.0661) Prec@1 42.500 (46.946) Prec@5 80.000 (77.446) Epoch: [42][8420/11272] Time 0.745 (0.792) Data 0.001 (0.002) Loss 2.3143 (2.0662) Prec@1 41.875 (46.946) Prec@5 71.875 (77.443) Epoch: [42][8430/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.9208 (2.0662) Prec@1 48.750 (46.947) Prec@5 80.000 (77.444) Epoch: [42][8440/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.8413 (2.0662) Prec@1 51.250 (46.947) Prec@5 83.125 (77.444) Epoch: [42][8450/11272] Time 0.875 (0.792) Data 0.002 (0.002) Loss 2.1230 (2.0661) Prec@1 43.750 (46.948) Prec@5 76.250 (77.445) Epoch: [42][8460/11272] Time 0.764 (0.792) Data 0.002 (0.002) Loss 1.9391 (2.0661) Prec@1 46.875 (46.948) Prec@5 81.250 (77.445) Epoch: [42][8470/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 1.9862 (2.0661) Prec@1 46.875 (46.946) Prec@5 79.375 (77.443) Epoch: [42][8480/11272] Time 0.806 (0.792) Data 0.001 (0.002) Loss 1.9571 (2.0662) Prec@1 49.375 (46.946) Prec@5 77.500 (77.443) Epoch: [42][8490/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0850 (2.0662) Prec@1 51.875 (46.946) Prec@5 76.250 (77.441) Epoch: [42][8500/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.8738 (2.0662) Prec@1 46.875 (46.945) Prec@5 83.125 (77.441) Epoch: [42][8510/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1430 (2.0662) Prec@1 43.750 (46.945) Prec@5 75.625 (77.441) Epoch: [42][8520/11272] Time 0.807 (0.792) Data 0.001 (0.002) Loss 2.1778 (2.0661) Prec@1 47.500 (46.947) Prec@5 74.375 (77.442) Epoch: [42][8530/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0322 (2.0662) Prec@1 48.750 (46.945) Prec@5 78.750 (77.440) Epoch: [42][8540/11272] Time 0.768 (0.792) Data 0.002 (0.002) Loss 1.8996 (2.0662) Prec@1 51.250 (46.947) Prec@5 82.500 (77.440) Epoch: [42][8550/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 1.9263 (2.0662) Prec@1 46.875 (46.947) Prec@5 79.375 (77.440) Epoch: [42][8560/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.2562 (2.0662) Prec@1 36.875 (46.945) Prec@5 76.250 (77.440) Epoch: [42][8570/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.9098 (2.0662) Prec@1 45.000 (46.946) Prec@5 81.250 (77.441) Epoch: [42][8580/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.2232 (2.0662) Prec@1 40.000 (46.946) Prec@5 77.500 (77.442) Epoch: [42][8590/11272] Time 0.806 (0.792) Data 0.001 (0.002) Loss 2.2318 (2.0663) Prec@1 42.500 (46.944) Prec@5 71.250 (77.440) Epoch: [42][8600/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 1.8281 (2.0664) Prec@1 51.250 (46.943) Prec@5 80.000 (77.438) Epoch: [42][8610/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0875 (2.0663) Prec@1 50.000 (46.945) Prec@5 76.875 (77.440) Epoch: [42][8620/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.2200 (2.0662) Prec@1 42.500 (46.946) Prec@5 76.250 (77.441) Epoch: [42][8630/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0136 (2.0663) Prec@1 48.750 (46.947) Prec@5 77.500 (77.440) Epoch: [42][8640/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0216 (2.0663) Prec@1 47.500 (46.945) Prec@5 78.125 (77.439) Epoch: [42][8650/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.1051 (2.0664) Prec@1 43.750 (46.944) Prec@5 76.250 (77.439) Epoch: [42][8660/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 1.9542 (2.0664) Prec@1 49.375 (46.944) Prec@5 76.875 (77.439) Epoch: [42][8670/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.1482 (2.0664) Prec@1 43.125 (46.943) Prec@5 75.625 (77.437) Epoch: [42][8680/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 1.8208 (2.0665) Prec@1 53.125 (46.941) Prec@5 81.875 (77.437) Epoch: [42][8690/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 1.9222 (2.0664) Prec@1 41.250 (46.940) Prec@5 82.500 (77.439) Epoch: [42][8700/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 1.9922 (2.0663) Prec@1 46.250 (46.942) Prec@5 76.250 (77.440) Epoch: [42][8710/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.0513 (2.0663) Prec@1 43.125 (46.941) Prec@5 73.750 (77.440) Epoch: [42][8720/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0896 (2.0663) Prec@1 51.250 (46.942) Prec@5 76.250 (77.439) Epoch: [42][8730/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.4128 (2.0663) Prec@1 44.375 (46.943) Prec@5 70.625 (77.439) Epoch: [42][8740/11272] Time 0.867 (0.792) Data 0.001 (0.002) Loss 2.1511 (2.0663) Prec@1 40.000 (46.941) Prec@5 77.500 (77.439) Epoch: [42][8750/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.0037 (2.0663) Prec@1 51.875 (46.944) Prec@5 76.875 (77.439) Epoch: [42][8760/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.9699 (2.0663) Prec@1 50.000 (46.942) Prec@5 81.875 (77.440) Epoch: [42][8770/11272] Time 0.816 (0.792) Data 0.001 (0.002) Loss 2.3623 (2.0663) Prec@1 38.750 (46.942) Prec@5 72.500 (77.439) Epoch: [42][8780/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1365 (2.0663) Prec@1 48.750 (46.942) Prec@5 75.000 (77.437) Epoch: [42][8790/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9883 (2.0663) Prec@1 45.000 (46.943) Prec@5 82.500 (77.439) Epoch: [42][8800/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9047 (2.0663) Prec@1 49.375 (46.942) Prec@5 77.500 (77.439) Epoch: [42][8810/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.6539 (2.0663) Prec@1 51.250 (46.940) Prec@5 86.250 (77.440) Epoch: [42][8820/11272] Time 0.807 (0.792) Data 0.001 (0.002) Loss 2.2174 (2.0662) Prec@1 49.375 (46.942) Prec@5 77.500 (77.442) Epoch: [42][8830/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0429 (2.0663) Prec@1 47.500 (46.940) Prec@5 78.750 (77.441) Epoch: [42][8840/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 2.0995 (2.0663) Prec@1 46.250 (46.941) Prec@5 80.000 (77.443) Epoch: [42][8850/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.3126 (2.0663) Prec@1 45.625 (46.939) Prec@5 73.125 (77.441) Epoch: [42][8860/11272] Time 0.807 (0.792) Data 0.002 (0.002) Loss 2.1661 (2.0663) Prec@1 41.875 (46.941) Prec@5 77.500 (77.443) Epoch: [42][8870/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0811 (2.0664) Prec@1 43.750 (46.939) Prec@5 78.125 (77.441) Epoch: [42][8880/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 1.9979 (2.0664) Prec@1 48.125 (46.940) Prec@5 82.500 (77.440) Epoch: [42][8890/11272] Time 0.848 (0.792) Data 0.002 (0.002) Loss 2.1414 (2.0665) Prec@1 45.000 (46.936) Prec@5 77.500 (77.438) Epoch: [42][8900/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.2359 (2.0665) Prec@1 40.625 (46.935) Prec@5 73.125 (77.437) Epoch: [42][8910/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 1.8082 (2.0665) Prec@1 54.375 (46.935) Prec@5 82.500 (77.437) Epoch: [42][8920/11272] Time 0.866 (0.792) Data 0.002 (0.002) Loss 2.2249 (2.0666) Prec@1 43.125 (46.934) Prec@5 73.750 (77.437) Epoch: [42][8930/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0768 (2.0666) Prec@1 46.250 (46.934) Prec@5 74.375 (77.437) Epoch: [42][8940/11272] Time 0.759 (0.792) Data 0.001 (0.002) Loss 2.1156 (2.0666) Prec@1 46.250 (46.934) Prec@5 76.875 (77.436) Epoch: [42][8950/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.1946 (2.0667) Prec@1 43.125 (46.932) Prec@5 77.500 (77.435) Epoch: [42][8960/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.2853 (2.0668) Prec@1 43.125 (46.931) Prec@5 72.500 (77.433) Epoch: [42][8970/11272] Time 0.820 (0.792) Data 0.002 (0.002) Loss 1.7763 (2.0668) Prec@1 58.125 (46.932) Prec@5 80.000 (77.433) Epoch: [42][8980/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 2.1300 (2.0667) Prec@1 47.500 (46.933) Prec@5 75.000 (77.436) Epoch: [42][8990/11272] Time 0.763 (0.792) Data 0.002 (0.002) Loss 1.9778 (2.0668) Prec@1 48.750 (46.931) Prec@5 78.750 (77.435) Epoch: [42][9000/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 1.8956 (2.0668) Prec@1 48.750 (46.931) Prec@5 78.750 (77.434) Epoch: [42][9010/11272] Time 0.757 (0.792) Data 0.002 (0.002) Loss 1.9642 (2.0668) Prec@1 46.250 (46.931) Prec@5 79.375 (77.435) Epoch: [42][9020/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.8661 (2.0668) Prec@1 53.125 (46.930) Prec@5 77.500 (77.434) Epoch: [42][9030/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.0761 (2.0668) Prec@1 49.375 (46.931) Prec@5 77.500 (77.434) Epoch: [42][9040/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.2904 (2.0668) Prec@1 41.250 (46.931) Prec@5 72.500 (77.434) Epoch: [42][9050/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 1.9223 (2.0669) Prec@1 53.125 (46.930) Prec@5 79.375 (77.434) Epoch: [42][9060/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 1.9378 (2.0670) Prec@1 50.625 (46.927) Prec@5 80.000 (77.433) Epoch: [42][9070/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0975 (2.0669) Prec@1 48.750 (46.929) Prec@5 76.875 (77.435) Epoch: [42][9080/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.1129 (2.0669) Prec@1 48.750 (46.928) Prec@5 80.000 (77.435) Epoch: [42][9090/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.0469 (2.0668) Prec@1 49.375 (46.931) Prec@5 78.750 (77.435) Epoch: [42][9100/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.8744 (2.0668) Prec@1 56.250 (46.933) Prec@5 77.500 (77.434) Epoch: [42][9110/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.0070 (2.0668) Prec@1 51.250 (46.934) Prec@5 77.500 (77.434) Epoch: [42][9120/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.0585 (2.0668) Prec@1 48.125 (46.934) Prec@5 77.500 (77.434) Epoch: [42][9130/11272] Time 0.788 (0.792) Data 0.002 (0.002) Loss 2.0857 (2.0669) Prec@1 45.000 (46.931) Prec@5 75.000 (77.432) Epoch: [42][9140/11272] Time 0.822 (0.792) Data 0.002 (0.002) Loss 1.9395 (2.0669) Prec@1 48.750 (46.932) Prec@5 80.625 (77.433) Epoch: [42][9150/11272] Time 0.844 (0.792) Data 0.002 (0.002) Loss 2.1554 (2.0669) Prec@1 45.000 (46.932) Prec@5 75.000 (77.432) Epoch: [42][9160/11272] Time 0.758 (0.792) Data 0.001 (0.002) Loss 1.7350 (2.0669) Prec@1 53.750 (46.933) Prec@5 84.375 (77.431) Epoch: [42][9170/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.1257 (2.0669) Prec@1 43.125 (46.931) Prec@5 75.000 (77.429) Epoch: [42][9180/11272] Time 0.813 (0.792) Data 0.002 (0.002) Loss 1.9895 (2.0669) Prec@1 53.125 (46.933) Prec@5 78.125 (77.430) Epoch: [42][9190/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1697 (2.0670) Prec@1 46.250 (46.931) Prec@5 72.500 (77.429) Epoch: [42][9200/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 1.8540 (2.0670) Prec@1 51.250 (46.932) Prec@5 83.750 (77.430) Epoch: [42][9210/11272] Time 0.713 (0.792) Data 0.001 (0.002) Loss 2.0355 (2.0670) Prec@1 47.500 (46.932) Prec@5 80.000 (77.430) Epoch: [42][9220/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.0654 (2.0670) Prec@1 45.625 (46.934) Prec@5 78.125 (77.430) Epoch: [42][9230/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.1326 (2.0669) Prec@1 46.875 (46.935) Prec@5 73.750 (77.431) Epoch: [42][9240/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.1511 (2.0670) Prec@1 46.250 (46.935) Prec@5 75.625 (77.430) Epoch: [42][9250/11272] Time 0.763 (0.792) Data 0.001 (0.002) Loss 2.1701 (2.0669) Prec@1 46.250 (46.936) Prec@5 74.375 (77.431) Epoch: [42][9260/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.0522 (2.0669) Prec@1 48.125 (46.937) Prec@5 78.125 (77.432) Epoch: [42][9270/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 2.1617 (2.0669) Prec@1 45.625 (46.937) Prec@5 73.750 (77.431) Epoch: [42][9280/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.9147 (2.0669) Prec@1 46.875 (46.936) Prec@5 83.125 (77.432) Epoch: [42][9290/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1411 (2.0670) Prec@1 46.250 (46.936) Prec@5 73.750 (77.432) Epoch: [42][9300/11272] Time 0.896 (0.792) Data 0.001 (0.002) Loss 2.1135 (2.0670) Prec@1 46.875 (46.934) Prec@5 78.750 (77.432) Epoch: [42][9310/11272] Time 0.749 (0.792) Data 0.001 (0.002) Loss 2.1777 (2.0671) Prec@1 46.250 (46.933) Prec@5 75.625 (77.431) Epoch: [42][9320/11272] Time 0.716 (0.792) Data 0.001 (0.002) Loss 2.1430 (2.0671) Prec@1 47.500 (46.933) Prec@5 76.875 (77.431) Epoch: [42][9330/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 2.0889 (2.0671) Prec@1 48.125 (46.932) Prec@5 72.500 (77.430) Epoch: [42][9340/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 2.1891 (2.0672) Prec@1 45.000 (46.932) Prec@5 75.625 (77.430) Epoch: [42][9350/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0834 (2.0673) Prec@1 49.375 (46.929) Prec@5 73.125 (77.428) Epoch: [42][9360/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.1134 (2.0673) Prec@1 45.625 (46.929) Prec@5 75.000 (77.428) Epoch: [42][9370/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 2.1304 (2.0673) Prec@1 41.875 (46.929) Prec@5 76.875 (77.428) Epoch: [42][9380/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 2.0871 (2.0672) Prec@1 46.875 (46.930) Prec@5 78.125 (77.429) Epoch: [42][9390/11272] Time 0.715 (0.792) Data 0.001 (0.002) Loss 2.0314 (2.0671) Prec@1 43.125 (46.932) Prec@5 80.000 (77.431) Epoch: [42][9400/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 2.0271 (2.0671) Prec@1 51.250 (46.932) Prec@5 76.250 (77.431) Epoch: [42][9410/11272] Time 0.885 (0.792) Data 0.002 (0.002) Loss 2.0518 (2.0671) Prec@1 51.875 (46.932) Prec@5 74.375 (77.432) Epoch: [42][9420/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.0111 (2.0671) Prec@1 47.500 (46.931) Prec@5 81.250 (77.432) Epoch: [42][9430/11272] Time 0.765 (0.792) Data 0.002 (0.002) Loss 1.8165 (2.0672) Prec@1 53.125 (46.931) Prec@5 82.500 (77.431) Epoch: [42][9440/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.0806 (2.0672) Prec@1 51.250 (46.932) Prec@5 74.375 (77.430) Epoch: [42][9450/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.9699 (2.0672) Prec@1 48.750 (46.930) Prec@5 77.500 (77.429) Epoch: [42][9460/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.6901 (2.0671) Prec@1 51.250 (46.932) Prec@5 82.500 (77.429) Epoch: [42][9470/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.7292 (2.0671) Prec@1 56.250 (46.932) Prec@5 81.875 (77.429) Epoch: [42][9480/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 1.8639 (2.0671) Prec@1 47.500 (46.932) Prec@5 81.250 (77.430) Epoch: [42][9490/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.3904 (2.0670) Prec@1 43.750 (46.933) Prec@5 72.500 (77.431) Epoch: [42][9500/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 2.0999 (2.0670) Prec@1 46.250 (46.934) Prec@5 76.875 (77.432) Epoch: [42][9510/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.8746 (2.0669) Prec@1 48.750 (46.934) Prec@5 82.500 (77.432) Epoch: [42][9520/11272] Time 0.887 (0.792) Data 0.002 (0.002) Loss 1.8434 (2.0670) Prec@1 50.625 (46.932) Prec@5 80.625 (77.432) Epoch: [42][9530/11272] Time 0.725 (0.792) Data 0.003 (0.002) Loss 1.9678 (2.0669) Prec@1 47.500 (46.932) Prec@5 80.000 (77.433) Epoch: [42][9540/11272] Time 0.731 (0.792) Data 0.002 (0.002) Loss 2.0162 (2.0670) Prec@1 47.500 (46.930) Prec@5 71.875 (77.430) Epoch: [42][9550/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 1.9563 (2.0670) Prec@1 53.125 (46.930) Prec@5 76.250 (77.429) Epoch: [42][9560/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.2528 (2.0670) Prec@1 43.750 (46.930) Prec@5 74.375 (77.430) Epoch: [42][9570/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.2389 (2.0670) Prec@1 41.875 (46.930) Prec@5 75.625 (77.429) Epoch: [42][9580/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.1025 (2.0670) Prec@1 45.625 (46.931) Prec@5 79.375 (77.430) Epoch: [42][9590/11272] Time 0.935 (0.792) Data 0.001 (0.002) Loss 1.9800 (2.0670) Prec@1 45.625 (46.931) Prec@5 79.375 (77.430) Epoch: [42][9600/11272] Time 0.853 (0.792) Data 0.002 (0.002) Loss 2.0429 (2.0669) Prec@1 49.375 (46.934) Prec@5 76.875 (77.431) Epoch: [42][9610/11272] Time 0.754 (0.792) Data 0.001 (0.002) Loss 2.2542 (2.0669) Prec@1 38.125 (46.934) Prec@5 70.625 (77.431) Epoch: [42][9620/11272] Time 0.755 (0.792) Data 0.002 (0.002) Loss 2.3832 (2.0670) Prec@1 42.500 (46.932) Prec@5 73.750 (77.429) Epoch: [42][9630/11272] Time 0.875 (0.792) Data 0.002 (0.002) Loss 2.0786 (2.0670) Prec@1 46.250 (46.933) Prec@5 80.000 (77.431) Epoch: [42][9640/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.0427 (2.0671) Prec@1 43.125 (46.930) Prec@5 81.875 (77.431) Epoch: [42][9650/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.1561 (2.0671) Prec@1 44.375 (46.930) Prec@5 76.875 (77.431) Epoch: [42][9660/11272] Time 0.887 (0.792) Data 0.001 (0.002) Loss 2.0838 (2.0671) Prec@1 45.625 (46.929) Prec@5 78.125 (77.432) Epoch: [42][9670/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.2371 (2.0671) Prec@1 36.875 (46.927) Prec@5 74.375 (77.431) Epoch: [42][9680/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 1.9380 (2.0671) Prec@1 50.000 (46.927) Prec@5 79.375 (77.431) Epoch: [42][9690/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 2.0073 (2.0671) Prec@1 49.375 (46.928) Prec@5 76.875 (77.432) Epoch: [42][9700/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0726 (2.0671) Prec@1 40.000 (46.926) Prec@5 73.750 (77.431) Epoch: [42][9710/11272] Time 0.822 (0.792) Data 0.001 (0.002) Loss 1.7514 (2.0671) Prec@1 55.625 (46.928) Prec@5 85.000 (77.432) Epoch: [42][9720/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.8804 (2.0670) Prec@1 51.250 (46.927) Prec@5 83.125 (77.434) Epoch: [42][9730/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.8452 (2.0669) Prec@1 53.750 (46.930) Prec@5 82.500 (77.435) Epoch: [42][9740/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 1.9740 (2.0669) Prec@1 50.000 (46.931) Prec@5 73.125 (77.434) Epoch: [42][9750/11272] Time 0.802 (0.792) Data 0.002 (0.002) Loss 1.8039 (2.0669) Prec@1 51.250 (46.932) Prec@5 81.875 (77.433) Epoch: [42][9760/11272] Time 0.792 (0.792) Data 0.002 (0.002) Loss 2.0936 (2.0669) Prec@1 45.625 (46.933) Prec@5 75.000 (77.434) Epoch: [42][9770/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9754 (2.0669) Prec@1 46.875 (46.933) Prec@5 80.000 (77.433) Epoch: [42][9780/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 1.9959 (2.0669) Prec@1 48.750 (46.933) Prec@5 81.875 (77.435) Epoch: [42][9790/11272] Time 0.856 (0.792) Data 0.003 (0.002) Loss 2.1673 (2.0668) Prec@1 50.000 (46.935) Prec@5 75.625 (77.436) Epoch: [42][9800/11272] Time 0.728 (0.792) Data 0.002 (0.002) Loss 2.1565 (2.0668) Prec@1 49.375 (46.934) Prec@5 77.500 (77.435) Epoch: [42][9810/11272] Time 0.856 (0.792) Data 0.002 (0.002) Loss 2.0609 (2.0668) Prec@1 45.625 (46.933) Prec@5 77.500 (77.436) Epoch: [42][9820/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.1822 (2.0669) Prec@1 45.000 (46.934) Prec@5 75.625 (77.435) Epoch: [42][9830/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 1.9103 (2.0669) Prec@1 48.750 (46.932) Prec@5 76.875 (77.435) Epoch: [42][9840/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 2.0927 (2.0669) Prec@1 44.375 (46.933) Prec@5 76.250 (77.436) Epoch: [42][9850/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.0819 (2.0669) Prec@1 44.375 (46.932) Prec@5 80.625 (77.436) Epoch: [42][9860/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 1.9047 (2.0668) Prec@1 51.250 (46.933) Prec@5 80.000 (77.436) Epoch: [42][9870/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 2.2282 (2.0667) Prec@1 41.250 (46.936) Prec@5 80.000 (77.438) Epoch: [42][9880/11272] Time 0.742 (0.792) Data 0.002 (0.002) Loss 2.1641 (2.0667) Prec@1 41.875 (46.937) Prec@5 76.875 (77.439) Epoch: [42][9890/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 1.8991 (2.0667) Prec@1 54.375 (46.937) Prec@5 82.500 (77.438) Epoch: [42][9900/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 2.1930 (2.0667) Prec@1 43.125 (46.936) Prec@5 76.250 (77.438) Epoch: [42][9910/11272] Time 0.756 (0.792) Data 0.001 (0.002) Loss 1.9281 (2.0667) Prec@1 51.250 (46.936) Prec@5 77.500 (77.437) Epoch: [42][9920/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.2911 (2.0668) Prec@1 43.125 (46.934) Prec@5 72.500 (77.435) Epoch: [42][9930/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.0337 (2.0668) Prec@1 45.625 (46.935) Prec@5 79.375 (77.434) Epoch: [42][9940/11272] Time 0.752 (0.792) Data 0.002 (0.002) Loss 1.7280 (2.0668) Prec@1 58.125 (46.937) Prec@5 80.000 (77.435) Epoch: [42][9950/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 1.7329 (2.0668) Prec@1 56.875 (46.936) Prec@5 81.250 (77.437) Epoch: [42][9960/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 2.0482 (2.0668) Prec@1 46.875 (46.935) Prec@5 80.000 (77.438) Epoch: [42][9970/11272] Time 0.808 (0.792) Data 0.001 (0.002) Loss 2.1982 (2.0668) Prec@1 41.250 (46.933) Prec@5 72.500 (77.436) Epoch: [42][9980/11272] Time 0.795 (0.792) Data 0.001 (0.002) Loss 1.9345 (2.0668) Prec@1 53.125 (46.934) Prec@5 75.625 (77.437) Epoch: [42][9990/11272] Time 0.730 (0.792) Data 0.002 (0.002) Loss 2.1142 (2.0669) Prec@1 43.750 (46.931) Prec@5 76.875 (77.436) Epoch: [42][10000/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.8814 (2.0669) Prec@1 52.500 (46.930) Prec@5 81.250 (77.435) Epoch: [42][10010/11272] Time 0.826 (0.792) Data 0.002 (0.002) Loss 2.2546 (2.0670) Prec@1 41.250 (46.928) Prec@5 75.625 (77.433) Epoch: [42][10020/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 1.9726 (2.0671) Prec@1 51.250 (46.926) Prec@5 76.875 (77.432) Epoch: [42][10030/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9925 (2.0671) Prec@1 45.000 (46.924) Prec@5 78.125 (77.431) Epoch: [42][10040/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.1107 (2.0672) Prec@1 53.125 (46.922) Prec@5 79.375 (77.430) Epoch: [42][10050/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.2304 (2.0672) Prec@1 46.250 (46.921) Prec@5 72.500 (77.428) Epoch: [42][10060/11272] Time 0.759 (0.792) Data 0.001 (0.002) Loss 1.8688 (2.0672) Prec@1 48.750 (46.920) Prec@5 81.250 (77.427) Epoch: [42][10070/11272] Time 0.891 (0.792) Data 0.001 (0.002) Loss 2.1340 (2.0672) Prec@1 45.000 (46.920) Prec@5 78.125 (77.428) Epoch: [42][10080/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 1.9346 (2.0672) Prec@1 55.625 (46.921) Prec@5 77.500 (77.428) Epoch: [42][10090/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.1827 (2.0672) Prec@1 44.375 (46.920) Prec@5 71.875 (77.427) Epoch: [42][10100/11272] Time 0.712 (0.792) Data 0.001 (0.002) Loss 2.1406 (2.0672) Prec@1 50.000 (46.921) Prec@5 78.125 (77.428) Epoch: [42][10110/11272] Time 0.890 (0.792) Data 0.001 (0.002) Loss 1.8990 (2.0672) Prec@1 54.375 (46.920) Prec@5 79.375 (77.429) Epoch: [42][10120/11272] Time 0.880 (0.792) Data 0.003 (0.002) Loss 1.9268 (2.0671) Prec@1 46.250 (46.921) Prec@5 83.125 (77.430) Epoch: [42][10130/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 2.1047 (2.0671) Prec@1 47.500 (46.921) Prec@5 76.250 (77.430) Epoch: [42][10140/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1506 (2.0671) Prec@1 44.375 (46.919) Prec@5 77.500 (77.430) Epoch: [42][10150/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 2.0707 (2.0670) Prec@1 48.750 (46.921) Prec@5 76.250 (77.431) Epoch: [42][10160/11272] Time 0.866 (0.792) Data 0.001 (0.002) Loss 1.9558 (2.0670) Prec@1 51.875 (46.922) Prec@5 78.750 (77.432) Epoch: [42][10170/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.9954 (2.0670) Prec@1 51.250 (46.922) Prec@5 78.125 (77.432) Epoch: [42][10180/11272] Time 0.744 (0.792) Data 0.002 (0.002) Loss 2.3309 (2.0670) Prec@1 38.125 (46.921) Prec@5 70.000 (77.431) Epoch: [42][10190/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.1671 (2.0671) Prec@1 45.625 (46.920) Prec@5 75.625 (77.429) Epoch: [42][10200/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.2736 (2.0672) Prec@1 40.000 (46.917) Prec@5 77.500 (77.429) Epoch: [42][10210/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.0783 (2.0672) Prec@1 50.625 (46.916) Prec@5 78.750 (77.430) Epoch: [42][10220/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.0201 (2.0672) Prec@1 47.500 (46.915) Prec@5 80.625 (77.430) Epoch: [42][10230/11272] Time 0.852 (0.792) Data 0.002 (0.002) Loss 2.1308 (2.0673) Prec@1 45.000 (46.914) Prec@5 75.625 (77.429) Epoch: [42][10240/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 2.1658 (2.0673) Prec@1 41.875 (46.913) Prec@5 74.375 (77.429) Epoch: [42][10250/11272] Time 0.745 (0.792) Data 0.001 (0.002) Loss 1.9145 (2.0672) Prec@1 56.250 (46.914) Prec@5 76.875 (77.430) Epoch: [42][10260/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 1.9628 (2.0672) Prec@1 52.500 (46.914) Prec@5 76.250 (77.430) Epoch: [42][10270/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1872 (2.0672) Prec@1 43.750 (46.915) Prec@5 78.125 (77.430) Epoch: [42][10280/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 2.1425 (2.0673) Prec@1 42.500 (46.915) Prec@5 76.875 (77.430) Epoch: [42][10290/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.2099 (2.0673) Prec@1 45.625 (46.913) Prec@5 78.750 (77.430) Epoch: [42][10300/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 1.8949 (2.0673) Prec@1 52.500 (46.913) Prec@5 78.750 (77.431) Epoch: [42][10310/11272] Time 0.820 (0.792) Data 0.002 (0.002) Loss 2.3458 (2.0673) Prec@1 35.625 (46.911) Prec@5 68.125 (77.430) Epoch: [42][10320/11272] Time 0.757 (0.792) Data 0.002 (0.002) Loss 2.1396 (2.0674) Prec@1 48.750 (46.911) Prec@5 71.250 (77.429) Epoch: [42][10330/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.3295 (2.0674) Prec@1 41.250 (46.910) Prec@5 73.125 (77.427) Epoch: [42][10340/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 1.9558 (2.0674) Prec@1 50.000 (46.911) Prec@5 80.000 (77.428) Epoch: [42][10350/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 2.1518 (2.0673) Prec@1 46.250 (46.911) Prec@5 72.500 (77.428) Epoch: [42][10360/11272] Time 0.713 (0.792) Data 0.001 (0.002) Loss 2.0008 (2.0674) Prec@1 52.500 (46.909) Prec@5 75.625 (77.428) Epoch: [42][10370/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 1.8164 (2.0674) Prec@1 51.250 (46.909) Prec@5 80.625 (77.428) Epoch: [42][10380/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.0496 (2.0674) Prec@1 48.125 (46.909) Prec@5 76.875 (77.427) Epoch: [42][10390/11272] Time 0.765 (0.792) Data 0.001 (0.002) Loss 1.9861 (2.0674) Prec@1 45.625 (46.908) Prec@5 76.250 (77.426) Epoch: [42][10400/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9743 (2.0674) Prec@1 47.500 (46.909) Prec@5 80.000 (77.426) Epoch: [42][10410/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 1.9699 (2.0674) Prec@1 50.000 (46.909) Prec@5 79.375 (77.426) Epoch: [42][10420/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.2290 (2.0674) Prec@1 45.625 (46.909) Prec@5 74.375 (77.426) Epoch: [42][10430/11272] Time 0.752 (0.792) Data 0.002 (0.002) Loss 2.0810 (2.0674) Prec@1 45.625 (46.909) Prec@5 75.625 (77.427) Epoch: [42][10440/11272] Time 0.788 (0.792) Data 0.002 (0.002) Loss 2.0267 (2.0674) Prec@1 44.375 (46.909) Prec@5 81.250 (77.426) Epoch: [42][10450/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 1.9737 (2.0675) Prec@1 48.750 (46.907) Prec@5 80.000 (77.426) Epoch: [42][10460/11272] Time 0.716 (0.792) Data 0.003 (0.002) Loss 1.9781 (2.0675) Prec@1 48.750 (46.907) Prec@5 80.625 (77.428) Epoch: [42][10470/11272] Time 0.745 (0.792) Data 0.001 (0.002) Loss 1.9267 (2.0675) Prec@1 55.000 (46.907) Prec@5 80.625 (77.429) Epoch: [42][10480/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 1.9141 (2.0674) Prec@1 48.750 (46.906) Prec@5 81.875 (77.430) Epoch: [42][10490/11272] Time 0.877 (0.792) Data 0.001 (0.002) Loss 2.0384 (2.0674) Prec@1 50.625 (46.905) Prec@5 76.250 (77.429) Epoch: [42][10500/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.9646 (2.0673) Prec@1 50.000 (46.909) Prec@5 78.750 (77.432) Epoch: [42][10510/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 2.1881 (2.0673) Prec@1 46.875 (46.909) Prec@5 77.500 (77.433) Epoch: [42][10520/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0421 (2.0673) Prec@1 43.750 (46.908) Prec@5 79.375 (77.433) Epoch: [42][10530/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 1.9559 (2.0673) Prec@1 50.000 (46.908) Prec@5 77.500 (77.433) Epoch: [42][10540/11272] Time 0.832 (0.792) Data 0.002 (0.002) Loss 2.1509 (2.0673) Prec@1 51.250 (46.908) Prec@5 74.375 (77.431) Epoch: [42][10550/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0880 (2.0673) Prec@1 48.750 (46.909) Prec@5 73.750 (77.431) Epoch: [42][10560/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.1491 (2.0674) Prec@1 41.250 (46.908) Prec@5 77.500 (77.430) Epoch: [42][10570/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 1.8954 (2.0673) Prec@1 50.000 (46.909) Prec@5 81.250 (77.431) Epoch: [42][10580/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.0966 (2.0674) Prec@1 45.625 (46.907) Prec@5 75.000 (77.429) Epoch: [42][10590/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 1.9737 (2.0674) Prec@1 47.500 (46.908) Prec@5 83.750 (77.429) Epoch: [42][10600/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 1.9040 (2.0673) Prec@1 47.500 (46.907) Prec@5 80.000 (77.430) Epoch: [42][10610/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.1336 (2.0674) Prec@1 39.375 (46.904) Prec@5 80.625 (77.429) Epoch: [42][10620/11272] Time 0.769 (0.792) Data 0.001 (0.002) Loss 2.3341 (2.0675) Prec@1 45.625 (46.902) Prec@5 73.125 (77.429) Epoch: [42][10630/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.1380 (2.0675) Prec@1 46.875 (46.902) Prec@5 72.500 (77.428) Epoch: [42][10640/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1003 (2.0674) Prec@1 48.125 (46.903) Prec@5 76.250 (77.429) Epoch: [42][10650/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 1.9652 (2.0675) Prec@1 49.375 (46.902) Prec@5 78.750 (77.428) Epoch: [42][10660/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.0845 (2.0674) Prec@1 53.750 (46.903) Prec@5 75.625 (77.428) Epoch: [42][10670/11272] Time 0.862 (0.792) Data 0.001 (0.002) Loss 2.0447 (2.0674) Prec@1 50.000 (46.905) Prec@5 78.125 (77.429) Epoch: [42][10680/11272] Time 0.819 (0.792) Data 0.001 (0.002) Loss 2.0634 (2.0674) Prec@1 47.500 (46.904) Prec@5 80.000 (77.429) Epoch: [42][10690/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.1741 (2.0674) Prec@1 48.750 (46.905) Prec@5 73.750 (77.428) Epoch: [42][10700/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.9062 (2.0674) Prec@1 51.875 (46.906) Prec@5 80.625 (77.428) Epoch: [42][10710/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.9255 (2.0674) Prec@1 48.125 (46.905) Prec@5 81.250 (77.428) Epoch: [42][10720/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.9626 (2.0674) Prec@1 53.125 (46.906) Prec@5 79.375 (77.428) Epoch: [42][10730/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.1213 (2.0674) Prec@1 48.750 (46.907) Prec@5 73.750 (77.428) Epoch: [42][10740/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.2378 (2.0673) Prec@1 48.125 (46.908) Prec@5 72.500 (77.428) Epoch: [42][10750/11272] Time 0.832 (0.792) Data 0.002 (0.002) Loss 1.7204 (2.0673) Prec@1 52.500 (46.908) Prec@5 80.000 (77.427) Epoch: [42][10760/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.0569 (2.0674) Prec@1 47.500 (46.908) Prec@5 81.250 (77.427) Epoch: [42][10770/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.3964 (2.0674) Prec@1 42.500 (46.909) Prec@5 71.250 (77.427) Epoch: [42][10780/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.2138 (2.0673) Prec@1 41.875 (46.908) Prec@5 71.875 (77.428) Epoch: [42][10790/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.0091 (2.0673) Prec@1 44.375 (46.909) Prec@5 80.000 (77.430) Epoch: [42][10800/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.0084 (2.0673) Prec@1 45.000 (46.908) Prec@5 78.750 (77.431) Epoch: [42][10810/11272] Time 0.753 (0.792) Data 0.001 (0.002) Loss 2.1967 (2.0673) Prec@1 41.875 (46.907) Prec@5 75.000 (77.431) Epoch: [42][10820/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 1.9516 (2.0673) Prec@1 49.375 (46.907) Prec@5 78.125 (77.431) Epoch: [42][10830/11272] Time 0.864 (0.792) Data 0.002 (0.002) Loss 2.0326 (2.0672) Prec@1 50.000 (46.908) Prec@5 77.500 (77.432) Epoch: [42][10840/11272] Time 0.846 (0.792) Data 0.002 (0.002) Loss 1.8671 (2.0672) Prec@1 50.625 (46.908) Prec@5 78.125 (77.432) Epoch: [42][10850/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.0030 (2.0673) Prec@1 50.625 (46.906) Prec@5 80.625 (77.432) Epoch: [42][10860/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.1566 (2.0673) Prec@1 41.875 (46.905) Prec@5 78.750 (77.431) Epoch: [42][10870/11272] Time 0.709 (0.792) Data 0.001 (0.002) Loss 2.0354 (2.0674) Prec@1 44.375 (46.904) Prec@5 76.250 (77.431) Epoch: [42][10880/11272] Time 0.720 (0.792) Data 0.001 (0.002) Loss 2.0597 (2.0674) Prec@1 50.000 (46.906) Prec@5 82.500 (77.431) Epoch: [42][10890/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.3435 (2.0674) Prec@1 41.250 (46.905) Prec@5 74.375 (77.433) Epoch: [42][10900/11272] Time 0.815 (0.792) Data 0.001 (0.002) Loss 2.2929 (2.0674) Prec@1 43.125 (46.903) Prec@5 76.250 (77.434) Epoch: [42][10910/11272] Time 0.773 (0.792) Data 0.002 (0.002) Loss 2.0066 (2.0674) Prec@1 46.250 (46.904) Prec@5 76.875 (77.435) Epoch: [42][10920/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.9681 (2.0673) Prec@1 50.625 (46.905) Prec@5 81.250 (77.435) Epoch: [42][10930/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.2569 (2.0674) Prec@1 39.375 (46.904) Prec@5 76.250 (77.436) Epoch: [42][10940/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.1923 (2.0674) Prec@1 46.875 (46.903) Prec@5 79.375 (77.437) Epoch: [42][10950/11272] Time 0.751 (0.792) Data 0.001 (0.002) Loss 2.1323 (2.0674) Prec@1 48.750 (46.904) Prec@5 71.875 (77.435) Epoch: [42][10960/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 1.7509 (2.0675) Prec@1 53.125 (46.904) Prec@5 81.875 (77.433) Epoch: [42][10970/11272] Time 0.836 (0.792) Data 0.002 (0.002) Loss 1.8492 (2.0675) Prec@1 50.000 (46.904) Prec@5 82.500 (77.433) Epoch: [42][10980/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.3594 (2.0675) Prec@1 40.000 (46.902) Prec@5 76.875 (77.434) Epoch: [42][10990/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.0974 (2.0675) Prec@1 46.250 (46.902) Prec@5 78.750 (77.435) Epoch: [42][11000/11272] Time 0.874 (0.792) Data 0.001 (0.002) Loss 2.1095 (2.0675) Prec@1 46.875 (46.903) Prec@5 76.875 (77.434) Epoch: [42][11010/11272] Time 0.893 (0.792) Data 0.001 (0.002) Loss 2.1227 (2.0675) Prec@1 44.375 (46.903) Prec@5 76.875 (77.434) Epoch: [42][11020/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9021 (2.0676) Prec@1 47.500 (46.902) Prec@5 78.750 (77.434) Epoch: [42][11030/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 2.1356 (2.0676) Prec@1 44.375 (46.901) Prec@5 77.500 (77.433) Epoch: [42][11040/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1858 (2.0676) Prec@1 44.375 (46.900) Prec@5 73.125 (77.432) Epoch: [42][11050/11272] Time 0.806 (0.792) Data 0.002 (0.002) Loss 2.1005 (2.0677) Prec@1 46.250 (46.899) Prec@5 77.500 (77.432) Epoch: [42][11060/11272] Time 0.710 (0.792) Data 0.001 (0.002) Loss 2.0552 (2.0677) Prec@1 49.375 (46.898) Prec@5 77.500 (77.431) Epoch: [42][11070/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.0379 (2.0676) Prec@1 49.375 (46.900) Prec@5 78.125 (77.433) Epoch: [42][11080/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 1.8693 (2.0676) Prec@1 51.250 (46.900) Prec@5 81.250 (77.433) Epoch: [42][11090/11272] Time 0.792 (0.792) Data 0.001 (0.002) Loss 2.1962 (2.0677) Prec@1 44.375 (46.897) Prec@5 73.125 (77.432) Epoch: [42][11100/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 1.8955 (2.0676) Prec@1 55.625 (46.898) Prec@5 81.875 (77.433) Epoch: [42][11110/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.0093 (2.0676) Prec@1 47.500 (46.898) Prec@5 77.500 (77.432) Epoch: [42][11120/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 2.0366 (2.0677) Prec@1 43.750 (46.897) Prec@5 78.750 (77.431) Epoch: [42][11130/11272] Time 0.729 (0.792) Data 0.003 (0.002) Loss 2.0592 (2.0676) Prec@1 49.375 (46.898) Prec@5 81.250 (77.432) Epoch: [42][11140/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.3988 (2.0676) Prec@1 36.875 (46.897) Prec@5 71.250 (77.431) Epoch: [42][11150/11272] Time 0.845 (0.792) Data 0.002 (0.002) Loss 2.0604 (2.0677) Prec@1 46.875 (46.895) Prec@5 77.500 (77.431) Epoch: [42][11160/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1998 (2.0676) Prec@1 44.375 (46.896) Prec@5 78.750 (77.433) Epoch: [42][11170/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.1213 (2.0676) Prec@1 45.000 (46.897) Prec@5 71.250 (77.431) Epoch: [42][11180/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9737 (2.0676) Prec@1 51.875 (46.896) Prec@5 80.000 (77.430) Epoch: [42][11190/11272] Time 0.854 (0.792) Data 0.001 (0.002) Loss 1.7212 (2.0677) Prec@1 51.250 (46.895) Prec@5 78.750 (77.429) Epoch: [42][11200/11272] Time 0.834 (0.792) Data 0.002 (0.002) Loss 1.9481 (2.0677) Prec@1 53.750 (46.894) Prec@5 80.000 (77.428) Epoch: [42][11210/11272] Time 0.740 (0.792) Data 0.002 (0.002) Loss 2.0124 (2.0678) Prec@1 47.500 (46.893) Prec@5 77.500 (77.427) Epoch: [42][11220/11272] Time 0.760 (0.792) Data 0.002 (0.002) Loss 2.1347 (2.0677) Prec@1 44.375 (46.895) Prec@5 77.500 (77.428) Epoch: [42][11230/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.2435 (2.0677) Prec@1 40.000 (46.894) Prec@5 76.875 (77.426) Epoch: [42][11240/11272] Time 0.902 (0.792) Data 0.001 (0.002) Loss 1.9855 (2.0678) Prec@1 45.625 (46.893) Prec@5 80.000 (77.426) Epoch: [42][11250/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.3019 (2.0679) Prec@1 42.500 (46.890) Prec@5 76.875 (77.424) Epoch: [42][11260/11272] Time 0.892 (0.792) Data 0.001 (0.002) Loss 2.0512 (2.0679) Prec@1 47.500 (46.891) Prec@5 77.500 (77.424) Epoch: [42][11270/11272] Time 0.827 (0.792) Data 0.000 (0.002) Loss 1.7863 (2.0679) Prec@1 48.750 (46.889) Prec@5 80.625 (77.424) Test: [0/229] Time 1.784 (1.784) Loss 1.1857 (1.1857) Prec@1 65.625 (65.625) Prec@5 95.000 (95.000) Test: [10/229] Time 0.341 (0.519) Loss 0.9703 (1.6550) Prec@1 68.750 (56.875) Prec@5 95.000 (85.511) Test: [20/229] Time 0.406 (0.452) Loss 2.1169 (1.7740) Prec@1 46.875 (53.304) Prec@5 80.000 (83.810) Test: [30/229] Time 0.422 (0.424) Loss 2.1496 (1.7127) Prec@1 37.500 (54.556) Prec@5 80.000 (84.294) Test: [40/229] Time 0.348 (0.411) Loss 0.4465 (1.6840) Prec@1 93.125 (55.152) Prec@5 95.625 (84.771) Test: [50/229] Time 0.397 (0.406) Loss 2.4933 (1.7460) Prec@1 28.125 (53.750) Prec@5 72.500 (83.431) Test: [60/229] Time 0.354 (0.401) Loss 2.1021 (1.7319) Prec@1 40.625 (53.975) Prec@5 78.750 (83.627) Test: [70/229] Time 0.390 (0.397) Loss 1.2927 (1.7500) Prec@1 66.875 (53.644) Prec@5 87.500 (83.477) Test: [80/229] Time 0.347 (0.395) Loss 1.8496 (1.7741) Prec@1 48.125 (52.762) Prec@5 88.750 (83.387) Test: [90/229] Time 0.381 (0.393) Loss 1.1912 (1.7813) Prec@1 75.000 (52.534) Prec@5 87.500 (83.427) Test: [100/229] Time 0.465 (0.392) Loss 2.0316 (1.7711) Prec@1 54.375 (53.100) Prec@5 80.625 (83.608) Test: [110/229] Time 0.340 (0.390) Loss 1.2333 (1.7492) Prec@1 63.750 (53.491) Prec@5 91.250 (83.829) Test: [120/229] Time 0.432 (0.389) Loss 2.9808 (1.7743) Prec@1 26.875 (52.810) Prec@5 71.250 (83.507) Test: [130/229] Time 0.317 (0.388) Loss 1.5288 (1.7613) Prec@1 57.500 (53.096) Prec@5 88.750 (83.674) Test: [140/229] Time 0.388 (0.387) Loss 1.8730 (1.7858) Prec@1 48.125 (52.509) Prec@5 82.500 (83.440) Test: [150/229] Time 0.327 (0.386) Loss 1.2312 (1.7944) Prec@1 74.375 (52.293) Prec@5 86.250 (83.349) Test: [160/229] Time 0.339 (0.386) Loss 2.0902 (1.7997) Prec@1 51.250 (52.092) Prec@5 83.125 (83.335) Test: [170/229] Time 0.418 (0.386) Loss 1.9824 (1.8122) Prec@1 48.750 (51.659) Prec@5 81.250 (83.183) Test: [180/229] Time 0.347 (0.385) Loss 2.4945 (1.8164) Prec@1 29.375 (51.685) Prec@5 74.375 (83.021) Test: [190/229] Time 0.408 (0.385) Loss 1.3621 (1.8057) Prec@1 60.000 (51.980) Prec@5 91.250 (83.158) Test: [200/229] Time 0.362 (0.384) Loss 1.8560 (1.7967) Prec@1 49.375 (52.065) Prec@5 81.250 (83.374) Test: [210/229] Time 0.357 (0.383) Loss 1.3244 (1.7854) Prec@1 55.625 (52.355) Prec@5 91.875 (83.534) Test: [220/229] Time 0.418 (0.383) Loss 1.5650 (1.7794) Prec@1 62.500 (52.582) Prec@5 86.250 (83.510) * Prec@1 52.912 Prec@5 83.653 Epoch: [43][0/11272] Time 3.351 (3.351) Data 2.392 (2.392) Loss 2.0435 (2.0435) Prec@1 45.625 (45.625) Prec@5 75.000 (75.000) Epoch: [43][10/11272] Time 0.829 (1.024) Data 0.001 (0.219) Loss 2.0096 (2.0146) Prec@1 51.875 (48.523) Prec@5 76.875 (78.182) Epoch: [43][20/11272] Time 0.723 (0.904) Data 0.001 (0.115) Loss 2.1571 (2.0370) Prec@1 41.875 (47.649) Prec@5 78.750 (77.589) Epoch: [43][30/11272] Time 0.732 (0.866) Data 0.002 (0.079) Loss 1.8563 (2.0373) Prec@1 53.125 (47.540) Prec@5 80.625 (77.601) Epoch: [43][40/11272] Time 0.848 (0.849) Data 0.001 (0.060) Loss 2.0224 (2.0269) Prec@1 46.875 (47.607) Prec@5 79.375 (78.064) Epoch: [43][50/11272] Time 0.841 (0.839) Data 0.001 (0.048) Loss 1.7676 (2.0239) Prec@1 53.750 (47.623) Prec@5 81.250 (78.211) Epoch: [43][60/11272] Time 0.770 (0.834) Data 0.001 (0.041) Loss 2.0379 (2.0263) Prec@1 48.750 (47.602) Prec@5 76.875 (78.320) Epoch: [43][70/11272] Time 0.835 (0.831) Data 0.001 (0.035) Loss 2.0505 (2.0365) Prec@1 48.125 (47.342) Prec@5 76.875 (78.125) Epoch: [43][80/11272] Time 0.836 (0.826) Data 0.001 (0.031) Loss 2.0093 (2.0317) Prec@1 45.625 (47.353) Prec@5 78.125 (78.117) Epoch: [43][90/11272] Time 0.733 (0.822) Data 0.002 (0.028) Loss 2.3939 (2.0420) Prec@1 37.500 (47.260) Prec@5 72.500 (77.919) Epoch: [43][100/11272] Time 0.763 (0.820) Data 0.002 (0.025) Loss 1.9285 (2.0411) Prec@1 47.500 (47.351) Prec@5 83.750 (77.921) Epoch: [43][110/11272] Time 0.888 (0.818) Data 0.001 (0.023) Loss 1.7395 (2.0314) Prec@1 50.000 (47.494) Prec@5 87.500 (78.209) Epoch: [43][120/11272] Time 0.849 (0.816) Data 0.001 (0.021) Loss 2.0642 (2.0272) Prec@1 41.250 (47.546) Prec@5 76.875 (78.264) Epoch: [43][130/11272] Time 0.735 (0.815) Data 0.002 (0.020) Loss 2.0258 (2.0295) Prec@1 46.250 (47.467) Prec@5 80.625 (78.211) Epoch: [43][140/11272] Time 0.753 (0.814) Data 0.001 (0.018) Loss 2.2302 (2.0285) Prec@1 36.250 (47.456) Prec@5 76.875 (78.236) Epoch: [43][150/11272] Time 0.847 (0.815) Data 0.001 (0.017) Loss 2.0179 (2.0316) Prec@1 51.250 (47.413) Prec@5 76.250 (78.200) Epoch: [43][160/11272] Time 0.843 (0.813) Data 0.001 (0.016) Loss 1.9537 (2.0273) Prec@1 53.125 (47.566) Prec@5 79.375 (78.300) Epoch: [43][170/11272] Time 0.740 (0.812) Data 0.002 (0.015) Loss 2.1464 (2.0286) Prec@1 43.125 (47.500) Prec@5 73.750 (78.260) Epoch: [43][180/11272] Time 0.760 (0.811) Data 0.002 (0.015) Loss 2.0207 (2.0275) Prec@1 47.500 (47.465) Prec@5 77.500 (78.346) Epoch: [43][190/11272] Time 0.881 (0.810) Data 0.002 (0.014) Loss 1.9219 (2.0280) Prec@1 51.250 (47.543) Prec@5 81.875 (78.331) Epoch: [43][200/11272] Time 0.741 (0.809) Data 0.001 (0.013) Loss 2.0119 (2.0260) Prec@1 47.500 (47.615) Prec@5 79.375 (78.321) Epoch: [43][210/11272] Time 0.769 (0.809) Data 0.002 (0.013) Loss 2.0213 (2.0228) Prec@1 48.125 (47.695) Prec@5 79.375 (78.421) Epoch: [43][220/11272] Time 0.823 (0.808) Data 0.001 (0.012) Loss 1.9653 (2.0240) Prec@1 52.500 (47.718) Prec@5 75.625 (78.343) Epoch: [43][230/11272] Time 0.864 (0.808) Data 0.001 (0.012) Loss 2.1079 (2.0270) Prec@1 47.500 (47.652) Prec@5 77.500 (78.268) Epoch: [43][240/11272] Time 0.727 (0.808) Data 0.001 (0.011) Loss 1.7956 (2.0258) Prec@1 48.750 (47.643) Prec@5 81.875 (78.299) Epoch: [43][250/11272] Time 0.738 (0.807) Data 0.002 (0.011) Loss 1.9649 (2.0284) Prec@1 50.000 (47.632) Prec@5 79.375 (78.257) Epoch: [43][260/11272] Time 0.841 (0.806) Data 0.001 (0.011) Loss 2.2167 (2.0282) Prec@1 41.250 (47.651) Prec@5 76.250 (78.285) Epoch: [43][270/11272] Time 0.852 (0.806) Data 0.001 (0.010) Loss 2.0677 (2.0295) Prec@1 43.125 (47.645) Prec@5 76.875 (78.238) Epoch: [43][280/11272] Time 0.732 (0.806) Data 0.002 (0.010) Loss 2.1270 (2.0316) Prec@1 41.250 (47.600) Prec@5 76.250 (78.181) Epoch: [43][290/11272] Time 0.790 (0.806) Data 0.002 (0.010) Loss 2.1156 (2.0321) Prec@1 43.750 (47.579) Prec@5 76.875 (78.198) Epoch: [43][300/11272] Time 0.881 (0.805) Data 0.002 (0.009) Loss 1.8600 (2.0340) Prec@1 47.500 (47.589) Prec@5 80.625 (78.150) Epoch: [43][310/11272] Time 0.850 (0.805) Data 0.001 (0.009) Loss 2.2357 (2.0336) Prec@1 43.750 (47.550) Prec@5 73.750 (78.195) Epoch: [43][320/11272] Time 0.774 (0.805) Data 0.002 (0.009) Loss 2.1564 (2.0326) Prec@1 48.750 (47.597) Prec@5 74.375 (78.187) Epoch: [43][330/11272] Time 0.879 (0.805) Data 0.001 (0.009) Loss 2.1803 (2.0348) Prec@1 42.500 (47.577) Prec@5 74.375 (78.119) Epoch: [43][340/11272] Time 0.820 (0.804) Data 0.001 (0.008) Loss 1.7881 (2.0331) Prec@1 51.250 (47.603) Prec@5 83.125 (78.141) Epoch: [43][350/11272] Time 0.727 (0.804) Data 0.002 (0.008) Loss 1.7716 (2.0325) Prec@1 53.750 (47.625) Prec@5 83.750 (78.148) Epoch: [43][360/11272] Time 0.742 (0.804) Data 0.001 (0.008) Loss 2.0311 (2.0353) Prec@1 46.250 (47.569) Prec@5 76.250 (78.111) Epoch: [43][370/11272] Time 0.858 (0.804) Data 0.001 (0.008) Loss 2.0842 (2.0324) Prec@1 45.625 (47.616) Prec@5 79.375 (78.196) Epoch: [43][380/11272] Time 0.847 (0.804) Data 0.001 (0.008) Loss 2.0929 (2.0320) Prec@1 46.250 (47.669) Prec@5 75.625 (78.200) Epoch: [43][390/11272] Time 0.731 (0.803) Data 0.002 (0.008) Loss 2.0603 (2.0320) Prec@1 50.000 (47.658) Prec@5 75.625 (78.216) Epoch: [43][400/11272] Time 0.708 (0.803) Data 0.001 (0.007) Loss 2.0166 (2.0317) Prec@1 50.625 (47.700) Prec@5 76.875 (78.204) Epoch: [43][410/11272] Time 0.900 (0.803) Data 0.002 (0.007) Loss 1.9023 (2.0323) Prec@1 48.750 (47.692) Prec@5 79.375 (78.187) Epoch: [43][420/11272] Time 0.842 (0.803) Data 0.002 (0.007) Loss 2.0150 (2.0325) Prec@1 47.500 (47.632) Prec@5 80.625 (78.216) Epoch: [43][430/11272] Time 0.746 (0.803) Data 0.002 (0.007) Loss 2.1432 (2.0320) Prec@1 47.500 (47.661) Prec@5 76.250 (78.219) Epoch: [43][440/11272] Time 0.707 (0.803) Data 0.001 (0.007) Loss 2.0152 (2.0310) Prec@1 46.875 (47.681) Prec@5 80.000 (78.255) Epoch: [43][450/11272] Time 0.858 (0.803) Data 0.002 (0.007) Loss 2.0374 (2.0316) Prec@1 48.750 (47.636) Prec@5 79.375 (78.225) Epoch: [43][460/11272] Time 0.757 (0.803) Data 0.003 (0.007) Loss 1.9998 (2.0322) Prec@1 47.500 (47.619) Prec@5 78.125 (78.228) Epoch: [43][470/11272] Time 0.747 (0.803) Data 0.001 (0.007) Loss 2.0233 (2.0336) Prec@1 43.750 (47.585) Prec@5 78.125 (78.197) Epoch: [43][480/11272] Time 0.841 (0.803) Data 0.002 (0.006) Loss 2.0483 (2.0335) Prec@1 46.875 (47.584) Prec@5 76.250 (78.176) Epoch: [43][490/11272] Time 0.862 (0.803) Data 0.002 (0.006) Loss 1.9843 (2.0340) Prec@1 44.375 (47.559) Prec@5 76.250 (78.164) Epoch: [43][500/11272] Time 0.737 (0.803) Data 0.002 (0.006) Loss 2.0391 (2.0343) Prec@1 40.000 (47.532) Prec@5 82.500 (78.179) Epoch: [43][510/11272] Time 0.745 (0.802) Data 0.001 (0.006) Loss 1.9620 (2.0353) Prec@1 53.125 (47.524) Prec@5 79.375 (78.170) Epoch: [43][520/11272] Time 0.852 (0.802) Data 0.001 (0.006) Loss 1.9563 (2.0361) Prec@1 43.125 (47.514) Prec@5 81.875 (78.153) Epoch: [43][530/11272] Time 0.879 (0.802) Data 0.002 (0.006) Loss 2.0536 (2.0370) Prec@1 43.125 (47.515) Prec@5 78.750 (78.136) Epoch: [43][540/11272] Time 0.719 (0.802) Data 0.001 (0.006) Loss 2.1340 (2.0372) Prec@1 42.500 (47.515) Prec@5 76.250 (78.124) Epoch: [43][550/11272] Time 0.726 (0.802) Data 0.002 (0.006) Loss 1.9258 (2.0367) Prec@1 48.750 (47.523) Prec@5 80.000 (78.137) Epoch: [43][560/11272] Time 0.816 (0.802) Data 0.002 (0.006) Loss 2.0477 (2.0369) Prec@1 48.750 (47.542) Prec@5 77.500 (78.132) Epoch: [43][570/11272] Time 0.819 (0.802) Data 0.002 (0.006) Loss 1.9009 (2.0359) Prec@1 51.875 (47.578) Prec@5 76.875 (78.134) Epoch: [43][580/11272] Time 0.728 (0.802) Data 0.001 (0.006) Loss 2.2858 (2.0359) Prec@1 41.875 (47.586) Prec@5 76.875 (78.148) Epoch: [43][590/11272] Time 0.885 (0.802) Data 0.001 (0.006) Loss 2.0666 (2.0353) Prec@1 50.625 (47.594) Prec@5 76.875 (78.148) Epoch: [43][600/11272] Time 0.836 (0.802) Data 0.001 (0.005) Loss 1.9446 (2.0341) Prec@1 48.125 (47.607) Prec@5 79.375 (78.175) Epoch: [43][610/11272] Time 0.723 (0.801) Data 0.002 (0.005) Loss 2.1360 (2.0340) Prec@1 46.875 (47.589) Prec@5 78.750 (78.181) Epoch: [43][620/11272] Time 0.730 (0.801) Data 0.001 (0.005) Loss 2.0188 (2.0347) Prec@1 51.875 (47.593) Prec@5 80.625 (78.163) Epoch: [43][630/11272] Time 0.907 (0.801) Data 0.001 (0.005) Loss 1.8960 (2.0341) Prec@1 48.125 (47.591) Prec@5 78.750 (78.176) Epoch: [43][640/11272] Time 0.863 (0.801) Data 0.002 (0.005) Loss 1.9561 (2.0345) Prec@1 54.375 (47.598) Prec@5 76.250 (78.157) Epoch: [43][650/11272] Time 0.735 (0.801) Data 0.002 (0.005) Loss 2.1785 (2.0346) Prec@1 43.750 (47.617) Prec@5 79.375 (78.137) Epoch: [43][660/11272] Time 0.744 (0.801) Data 0.001 (0.005) Loss 2.0202 (2.0365) Prec@1 49.375 (47.591) Prec@5 77.500 (78.099) Epoch: [43][670/11272] Time 0.893 (0.801) Data 0.001 (0.005) Loss 2.1262 (2.0376) Prec@1 44.375 (47.583) Prec@5 78.125 (78.081) Epoch: [43][680/11272] Time 0.867 (0.801) Data 0.002 (0.005) Loss 1.8383 (2.0374) Prec@1 53.750 (47.583) Prec@5 81.250 (78.085) Epoch: [43][690/11272] Time 0.763 (0.801) Data 0.001 (0.005) Loss 1.7614 (2.0369) Prec@1 52.500 (47.599) Prec@5 86.250 (78.099) Epoch: [43][700/11272] Time 0.732 (0.801) Data 0.001 (0.005) Loss 2.0867 (2.0375) Prec@1 46.875 (47.580) Prec@5 79.375 (78.085) Epoch: [43][710/11272] Time 0.891 (0.801) Data 0.001 (0.005) Loss 2.0100 (2.0383) Prec@1 50.625 (47.562) Prec@5 81.250 (78.083) Epoch: [43][720/11272] Time 0.834 (0.801) Data 0.002 (0.005) Loss 2.0866 (2.0395) Prec@1 43.125 (47.538) Prec@5 73.750 (78.051) Epoch: [43][730/11272] Time 0.720 (0.801) Data 0.001 (0.005) Loss 2.0193 (2.0386) Prec@1 46.250 (47.556) Prec@5 75.625 (78.068) Epoch: [43][740/11272] Time 0.836 (0.801) Data 0.001 (0.005) Loss 2.0069 (2.0390) Prec@1 51.250 (47.567) Prec@5 75.625 (78.052) Epoch: [43][750/11272] Time 0.848 (0.801) Data 0.001 (0.005) Loss 1.9373 (2.0382) Prec@1 51.875 (47.573) Prec@5 78.125 (78.064) Epoch: [43][760/11272] Time 0.727 (0.801) Data 0.001 (0.005) Loss 2.0873 (2.0386) Prec@1 46.250 (47.560) Prec@5 75.625 (78.046) Epoch: [43][770/11272] Time 0.742 (0.801) Data 0.001 (0.005) Loss 1.9833 (2.0377) Prec@1 48.750 (47.582) Prec@5 76.250 (78.058) Epoch: [43][780/11272] Time 0.837 (0.801) Data 0.001 (0.005) Loss 2.0438 (2.0376) Prec@1 48.125 (47.594) Prec@5 73.750 (78.052) Epoch: [43][790/11272] Time 0.878 (0.801) Data 0.002 (0.004) Loss 1.8961 (2.0378) Prec@1 49.375 (47.599) Prec@5 83.125 (78.042) Epoch: [43][800/11272] Time 0.744 (0.801) Data 0.002 (0.004) Loss 2.1585 (2.0380) Prec@1 50.000 (47.608) Prec@5 75.625 (78.039) Epoch: [43][810/11272] Time 0.728 (0.801) Data 0.002 (0.004) Loss 2.0209 (2.0380) Prec@1 45.625 (47.588) Prec@5 81.250 (78.031) Epoch: [43][820/11272] Time 0.872 (0.801) Data 0.002 (0.004) Loss 2.1319 (2.0375) Prec@1 45.625 (47.584) Prec@5 74.375 (78.037) Epoch: [43][830/11272] Time 0.852 (0.801) Data 0.002 (0.004) Loss 2.1583 (2.0376) Prec@1 43.125 (47.577) Prec@5 78.125 (78.033) Epoch: [43][840/11272] Time 0.735 (0.801) Data 0.001 (0.004) Loss 1.8542 (2.0367) Prec@1 53.125 (47.606) Prec@5 82.500 (78.046) Epoch: [43][850/11272] Time 0.734 (0.801) Data 0.001 (0.004) Loss 1.9550 (2.0363) Prec@1 44.375 (47.608) Prec@5 81.250 (78.057) Epoch: [43][860/11272] Time 0.851 (0.801) Data 0.001 (0.004) Loss 1.9887 (2.0362) Prec@1 43.125 (47.599) Prec@5 81.875 (78.068) Epoch: [43][870/11272] Time 0.741 (0.801) Data 0.002 (0.004) Loss 2.1189 (2.0360) Prec@1 45.625 (47.611) Prec@5 75.000 (78.061) Epoch: [43][880/11272] Time 0.732 (0.801) Data 0.001 (0.004) Loss 2.2748 (2.0368) Prec@1 46.875 (47.602) Prec@5 71.875 (78.038) Epoch: [43][890/11272] Time 0.873 (0.801) Data 0.001 (0.004) Loss 2.0051 (2.0375) Prec@1 44.375 (47.578) Prec@5 80.000 (78.035) Epoch: [43][900/11272] Time 0.822 (0.801) Data 0.001 (0.004) Loss 2.1329 (2.0375) Prec@1 43.125 (47.567) Prec@5 80.000 (78.042) Epoch: [43][910/11272] Time 0.725 (0.801) Data 0.002 (0.004) Loss 1.9608 (2.0362) Prec@1 51.250 (47.589) Prec@5 78.750 (78.065) Epoch: [43][920/11272] Time 0.744 (0.801) Data 0.002 (0.004) Loss 1.9156 (2.0357) Prec@1 52.500 (47.611) Prec@5 78.125 (78.081) Epoch: [43][930/11272] Time 0.885 (0.801) Data 0.001 (0.004) Loss 1.6578 (2.0356) Prec@1 58.125 (47.613) Prec@5 85.000 (78.084) Epoch: [43][940/11272] Time 0.816 (0.801) Data 0.002 (0.004) Loss 1.8288 (2.0352) Prec@1 50.625 (47.614) Prec@5 82.500 (78.085) Epoch: [43][950/11272] Time 0.745 (0.800) Data 0.001 (0.004) Loss 2.0960 (2.0351) Prec@1 45.625 (47.611) Prec@5 78.750 (78.084) Epoch: [43][960/11272] Time 0.762 (0.800) Data 0.001 (0.004) Loss 1.9656 (2.0356) Prec@1 50.625 (47.611) Prec@5 83.750 (78.076) Epoch: [43][970/11272] Time 0.848 (0.801) Data 0.001 (0.004) Loss 2.1046 (2.0357) Prec@1 44.375 (47.619) Prec@5 79.375 (78.072) Epoch: [43][980/11272] Time 0.857 (0.801) Data 0.003 (0.004) Loss 1.7551 (2.0352) Prec@1 53.750 (47.631) Prec@5 81.250 (78.073) Epoch: [43][990/11272] Time 0.728 (0.801) Data 0.002 (0.004) Loss 2.0592 (2.0359) Prec@1 42.500 (47.588) Prec@5 74.375 (78.061) Epoch: [43][1000/11272] Time 0.830 (0.801) Data 0.001 (0.004) Loss 1.8146 (2.0359) Prec@1 49.375 (47.593) Prec@5 81.875 (78.059) Epoch: [43][1010/11272] Time 0.864 (0.800) Data 0.001 (0.004) Loss 2.2481 (2.0362) Prec@1 40.625 (47.588) Prec@5 72.500 (78.050) Epoch: [43][1020/11272] Time 0.740 (0.800) Data 0.001 (0.004) Loss 1.9868 (2.0364) Prec@1 50.000 (47.573) Prec@5 76.875 (78.052) Epoch: [43][1030/11272] Time 0.714 (0.800) Data 0.001 (0.004) Loss 1.9467 (2.0358) Prec@1 48.125 (47.584) Prec@5 79.375 (78.060) Epoch: [43][1040/11272] Time 0.897 (0.800) Data 0.002 (0.004) Loss 1.9910 (2.0354) Prec@1 50.625 (47.593) Prec@5 76.250 (78.064) Epoch: [43][1050/11272] Time 0.832 (0.800) Data 0.002 (0.004) Loss 1.9151 (2.0352) Prec@1 56.250 (47.605) Prec@5 78.750 (78.059) Epoch: [43][1060/11272] Time 0.734 (0.800) Data 0.001 (0.004) Loss 2.1747 (2.0362) Prec@1 40.625 (47.588) Prec@5 73.750 (78.038) Epoch: [43][1070/11272] Time 0.728 (0.800) Data 0.002 (0.004) Loss 2.1642 (2.0363) Prec@1 45.000 (47.578) Prec@5 78.125 (78.034) Epoch: [43][1080/11272] Time 0.835 (0.800) Data 0.001 (0.004) Loss 1.9703 (2.0364) Prec@1 50.625 (47.577) Prec@5 78.750 (78.035) Epoch: [43][1090/11272] Time 0.851 (0.800) Data 0.002 (0.004) Loss 2.1137 (2.0359) Prec@1 46.250 (47.598) Prec@5 76.875 (78.041) Epoch: [43][1100/11272] Time 0.733 (0.800) Data 0.001 (0.004) Loss 2.1073 (2.0365) Prec@1 42.500 (47.580) Prec@5 78.125 (78.034) Epoch: [43][1110/11272] Time 0.725 (0.800) Data 0.001 (0.004) Loss 2.4854 (2.0373) Prec@1 40.625 (47.553) Prec@5 67.500 (78.019) Epoch: [43][1120/11272] Time 0.845 (0.800) Data 0.002 (0.004) Loss 2.0898 (2.0378) Prec@1 45.000 (47.539) Prec@5 75.000 (78.008) Epoch: [43][1130/11272] Time 0.729 (0.800) Data 0.003 (0.004) Loss 2.1819 (2.0388) Prec@1 45.000 (47.507) Prec@5 78.125 (77.995) Epoch: [43][1140/11272] Time 0.761 (0.800) Data 0.002 (0.004) Loss 1.8794 (2.0384) Prec@1 52.500 (47.519) Prec@5 76.875 (77.988) Epoch: [43][1150/11272] Time 0.829 (0.800) Data 0.001 (0.004) Loss 2.0970 (2.0385) Prec@1 46.250 (47.517) Prec@5 77.500 (77.988) Epoch: [43][1160/11272] Time 0.973 (0.800) Data 0.003 (0.004) Loss 2.0620 (2.0382) Prec@1 46.250 (47.531) Prec@5 79.375 (77.987) Epoch: [43][1170/11272] Time 0.745 (0.800) Data 0.001 (0.004) Loss 2.1752 (2.0380) Prec@1 45.625 (47.544) Prec@5 80.000 (77.993) Epoch: [43][1180/11272] Time 0.738 (0.800) Data 0.001 (0.004) Loss 2.0116 (2.0379) Prec@1 48.125 (47.552) Prec@5 81.875 (78.001) Epoch: [43][1190/11272] Time 0.907 (0.800) Data 0.002 (0.003) Loss 1.8644 (2.0377) Prec@1 50.000 (47.555) Prec@5 79.375 (78.002) Epoch: [43][1200/11272] Time 0.829 (0.800) Data 0.001 (0.003) Loss 1.9058 (2.0380) Prec@1 48.125 (47.545) Prec@5 79.375 (78.003) Epoch: [43][1210/11272] Time 0.748 (0.800) Data 0.002 (0.003) Loss 2.2649 (2.0384) Prec@1 41.875 (47.536) Prec@5 74.375 (78.003) Epoch: [43][1220/11272] Time 0.739 (0.800) Data 0.001 (0.003) Loss 1.9589 (2.0380) Prec@1 49.375 (47.550) Prec@5 77.500 (78.007) Epoch: [43][1230/11272] Time 0.874 (0.800) Data 0.002 (0.003) Loss 1.8983 (2.0381) Prec@1 49.375 (47.553) Prec@5 80.625 (78.004) Epoch: [43][1240/11272] Time 0.856 (0.800) Data 0.002 (0.003) Loss 2.0590 (2.0381) Prec@1 46.875 (47.560) Prec@5 75.625 (77.996) Epoch: [43][1250/11272] Time 0.739 (0.800) Data 0.001 (0.003) Loss 2.2796 (2.0384) Prec@1 43.750 (47.539) Prec@5 73.750 (77.991) Epoch: [43][1260/11272] Time 0.856 (0.800) Data 0.002 (0.003) Loss 1.7934 (2.0382) Prec@1 49.375 (47.541) Prec@5 83.125 (77.993) Epoch: [43][1270/11272] Time 0.836 (0.800) Data 0.001 (0.003) Loss 2.1268 (2.0378) Prec@1 46.875 (47.550) Prec@5 76.875 (77.996) Epoch: [43][1280/11272] Time 0.725 (0.800) Data 0.002 (0.003) Loss 2.1460 (2.0382) Prec@1 43.750 (47.544) Prec@5 75.625 (77.988) Epoch: [43][1290/11272] Time 0.730 (0.800) Data 0.002 (0.003) Loss 1.9643 (2.0379) Prec@1 50.000 (47.537) Prec@5 79.375 (77.998) Epoch: [43][1300/11272] Time 0.851 (0.800) Data 0.002 (0.003) Loss 2.0965 (2.0389) Prec@1 48.125 (47.522) Prec@5 79.375 (77.991) Epoch: [43][1310/11272] Time 0.872 (0.800) Data 0.002 (0.003) Loss 2.0404 (2.0390) Prec@1 44.375 (47.530) Prec@5 76.875 (77.982) Epoch: [43][1320/11272] Time 0.715 (0.800) Data 0.001 (0.003) Loss 2.2428 (2.0396) Prec@1 43.750 (47.513) Prec@5 75.625 (77.973) Epoch: [43][1330/11272] Time 0.738 (0.800) Data 0.001 (0.003) Loss 2.0452 (2.0396) Prec@1 48.125 (47.508) Prec@5 73.125 (77.959) Epoch: [43][1340/11272] Time 0.866 (0.800) Data 0.002 (0.003) Loss 2.0176 (2.0397) Prec@1 46.875 (47.514) Prec@5 78.125 (77.967) Epoch: [43][1350/11272] Time 0.859 (0.800) Data 0.002 (0.003) Loss 2.1405 (2.0401) Prec@1 45.625 (47.507) Prec@5 76.250 (77.962) Epoch: [43][1360/11272] Time 0.764 (0.800) Data 0.001 (0.003) Loss 2.3481 (2.0401) Prec@1 45.000 (47.517) Prec@5 70.625 (77.963) Epoch: [43][1370/11272] Time 0.746 (0.800) Data 0.002 (0.003) Loss 1.9851 (2.0408) Prec@1 49.375 (47.505) Prec@5 78.750 (77.958) Epoch: [43][1380/11272] Time 0.808 (0.800) Data 0.002 (0.003) Loss 1.8806 (2.0409) Prec@1 50.000 (47.511) Prec@5 80.625 (77.952) Epoch: [43][1390/11272] Time 0.756 (0.800) Data 0.004 (0.003) Loss 1.9584 (2.0409) Prec@1 48.750 (47.522) Prec@5 80.625 (77.947) Epoch: [43][1400/11272] Time 0.731 (0.799) Data 0.001 (0.003) Loss 1.8645 (2.0406) Prec@1 52.500 (47.521) Prec@5 82.500 (77.948) Epoch: [43][1410/11272] Time 0.838 (0.799) Data 0.001 (0.003) Loss 2.0456 (2.0410) Prec@1 51.875 (47.519) Prec@5 73.750 (77.945) Epoch: [43][1420/11272] Time 0.837 (0.799) Data 0.001 (0.003) Loss 2.1915 (2.0407) Prec@1 37.500 (47.508) Prec@5 80.625 (77.950) Epoch: [43][1430/11272] Time 0.740 (0.799) Data 0.001 (0.003) Loss 1.9799 (2.0411) Prec@1 48.750 (47.506) Prec@5 78.750 (77.941) Epoch: [43][1440/11272] Time 0.704 (0.799) Data 0.001 (0.003) Loss 2.1656 (2.0413) Prec@1 45.625 (47.511) Prec@5 76.250 (77.932) Epoch: [43][1450/11272] Time 0.866 (0.799) Data 0.001 (0.003) Loss 1.9602 (2.0410) Prec@1 49.375 (47.521) Prec@5 81.875 (77.940) Epoch: [43][1460/11272] Time 0.858 (0.799) Data 0.002 (0.003) Loss 1.8308 (2.0407) Prec@1 51.875 (47.525) Prec@5 80.000 (77.944) Epoch: [43][1470/11272] Time 0.748 (0.799) Data 0.002 (0.003) Loss 1.9662 (2.0406) Prec@1 55.625 (47.535) Prec@5 75.000 (77.939) Epoch: [43][1480/11272] Time 0.735 (0.799) Data 0.001 (0.003) Loss 1.9265 (2.0407) Prec@1 51.875 (47.551) Prec@5 80.625 (77.942) Epoch: [43][1490/11272] Time 0.865 (0.799) Data 0.001 (0.003) Loss 2.0390 (2.0415) Prec@1 46.875 (47.528) Prec@5 78.125 (77.932) Epoch: [43][1500/11272] Time 0.793 (0.799) Data 0.002 (0.003) Loss 2.1893 (2.0415) Prec@1 46.250 (47.531) Prec@5 75.000 (77.931) Epoch: [43][1510/11272] Time 0.753 (0.799) Data 0.001 (0.003) Loss 2.0588 (2.0417) Prec@1 43.750 (47.517) Prec@5 78.750 (77.926) Epoch: [43][1520/11272] Time 0.896 (0.799) Data 0.001 (0.003) Loss 1.8265 (2.0413) Prec@1 54.375 (47.519) Prec@5 83.125 (77.935) Epoch: [43][1530/11272] Time 0.835 (0.799) Data 0.002 (0.003) Loss 1.9626 (2.0415) Prec@1 47.500 (47.522) Prec@5 79.375 (77.928) Epoch: [43][1540/11272] Time 0.742 (0.799) Data 0.001 (0.003) Loss 1.9559 (2.0416) Prec@1 51.250 (47.521) Prec@5 77.500 (77.923) Epoch: [43][1550/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 2.1540 (2.0417) Prec@1 46.250 (47.513) Prec@5 71.875 (77.919) Epoch: [43][1560/11272] Time 0.824 (0.799) Data 0.001 (0.003) Loss 2.1755 (2.0420) Prec@1 50.625 (47.508) Prec@5 77.500 (77.915) Epoch: [43][1570/11272] Time 0.845 (0.799) Data 0.001 (0.003) Loss 2.1349 (2.0422) Prec@1 48.125 (47.508) Prec@5 73.750 (77.905) Epoch: [43][1580/11272] Time 0.733 (0.799) Data 0.001 (0.003) Loss 2.1088 (2.0422) Prec@1 48.750 (47.513) Prec@5 75.625 (77.906) Epoch: [43][1590/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 2.1020 (2.0426) Prec@1 50.000 (47.511) Prec@5 76.875 (77.902) Epoch: [43][1600/11272] Time 0.871 (0.799) Data 0.001 (0.003) Loss 1.9483 (2.0425) Prec@1 47.500 (47.513) Prec@5 79.375 (77.899) Epoch: [43][1610/11272] Time 0.869 (0.799) Data 0.002 (0.003) Loss 2.0311 (2.0427) Prec@1 51.250 (47.515) Prec@5 80.000 (77.892) Epoch: [43][1620/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 2.1036 (2.0432) Prec@1 44.375 (47.502) Prec@5 75.625 (77.885) Epoch: [43][1630/11272] Time 0.744 (0.799) Data 0.001 (0.003) Loss 1.9975 (2.0433) Prec@1 48.750 (47.504) Prec@5 79.375 (77.885) Epoch: [43][1640/11272] Time 0.844 (0.799) Data 0.001 (0.003) Loss 2.1885 (2.0435) Prec@1 39.375 (47.490) Prec@5 76.250 (77.877) Epoch: [43][1650/11272] Time 0.876 (0.799) Data 0.001 (0.003) Loss 2.0459 (2.0434) Prec@1 49.375 (47.490) Prec@5 78.125 (77.884) Epoch: [43][1660/11272] Time 0.757 (0.799) Data 0.002 (0.003) Loss 2.1312 (2.0439) Prec@1 41.875 (47.477) Prec@5 79.375 (77.869) Epoch: [43][1670/11272] Time 0.872 (0.799) Data 0.001 (0.003) Loss 2.0330 (2.0438) Prec@1 44.375 (47.473) Prec@5 78.125 (77.868) Epoch: [43][1680/11272] Time 0.826 (0.799) Data 0.001 (0.003) Loss 2.0393 (2.0439) Prec@1 48.750 (47.472) Prec@5 83.125 (77.869) Epoch: [43][1690/11272] Time 0.740 (0.799) Data 0.001 (0.003) Loss 1.9678 (2.0441) Prec@1 50.625 (47.468) Prec@5 76.875 (77.863) Epoch: [43][1700/11272] Time 0.726 (0.799) Data 0.001 (0.003) Loss 2.2007 (2.0444) Prec@1 46.250 (47.459) Prec@5 75.000 (77.861) Epoch: [43][1710/11272] Time 0.878 (0.799) Data 0.002 (0.003) Loss 2.3476 (2.0448) Prec@1 41.250 (47.447) Prec@5 73.750 (77.854) Epoch: [43][1720/11272] Time 0.845 (0.799) Data 0.001 (0.003) Loss 1.8804 (2.0450) Prec@1 51.250 (47.447) Prec@5 81.875 (77.850) Epoch: [43][1730/11272] Time 0.730 (0.799) Data 0.001 (0.003) Loss 2.1504 (2.0449) Prec@1 47.500 (47.452) Prec@5 76.250 (77.847) Epoch: [43][1740/11272] Time 0.740 (0.799) Data 0.001 (0.003) Loss 2.1496 (2.0449) Prec@1 45.000 (47.460) Prec@5 76.250 (77.847) Epoch: [43][1750/11272] Time 0.869 (0.799) Data 0.002 (0.003) Loss 2.0768 (2.0458) Prec@1 50.000 (47.441) Prec@5 75.000 (77.827) Epoch: [43][1760/11272] Time 0.830 (0.799) Data 0.001 (0.003) Loss 1.9175 (2.0452) Prec@1 50.625 (47.452) Prec@5 78.750 (77.841) Epoch: [43][1770/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 1.9959 (2.0456) Prec@1 45.625 (47.442) Prec@5 78.125 (77.832) Epoch: [43][1780/11272] Time 0.752 (0.799) Data 0.001 (0.003) Loss 1.8942 (2.0453) Prec@1 48.750 (47.441) Prec@5 78.750 (77.835) Epoch: [43][1790/11272] Time 0.836 (0.799) Data 0.001 (0.003) Loss 1.8655 (2.0455) Prec@1 52.500 (47.438) Prec@5 80.000 (77.835) Epoch: [43][1800/11272] Time 0.732 (0.799) Data 0.001 (0.003) Loss 1.8759 (2.0456) Prec@1 53.125 (47.438) Prec@5 79.375 (77.832) Epoch: [43][1810/11272] Time 0.721 (0.799) Data 0.001 (0.003) Loss 2.2693 (2.0454) Prec@1 41.250 (47.451) Prec@5 74.375 (77.829) Epoch: [43][1820/11272] Time 0.830 (0.799) Data 0.001 (0.003) Loss 1.9940 (2.0450) Prec@1 48.125 (47.458) Prec@5 77.500 (77.835) Epoch: [43][1830/11272] Time 0.833 (0.799) Data 0.001 (0.003) Loss 2.3228 (2.0452) Prec@1 45.000 (47.456) Prec@5 74.375 (77.832) Epoch: [43][1840/11272] Time 0.735 (0.799) Data 0.001 (0.003) Loss 1.9214 (2.0449) Prec@1 52.500 (47.466) Prec@5 81.875 (77.833) Epoch: [43][1850/11272] Time 0.772 (0.799) Data 0.002 (0.003) Loss 2.2339 (2.0452) Prec@1 43.750 (47.456) Prec@5 73.125 (77.823) Epoch: [43][1860/11272] Time 0.844 (0.799) Data 0.001 (0.003) Loss 1.9862 (2.0453) Prec@1 45.625 (47.455) Prec@5 81.250 (77.822) Epoch: [43][1870/11272] Time 0.857 (0.799) Data 0.002 (0.003) Loss 1.9192 (2.0454) Prec@1 51.875 (47.453) Prec@5 76.250 (77.827) Epoch: [43][1880/11272] Time 0.724 (0.799) Data 0.001 (0.003) Loss 1.9630 (2.0454) Prec@1 50.625 (47.455) Prec@5 80.625 (77.826) Epoch: [43][1890/11272] Time 0.748 (0.799) Data 0.002 (0.003) Loss 2.1186 (2.0453) Prec@1 43.125 (47.455) Prec@5 75.000 (77.830) Epoch: [43][1900/11272] Time 0.844 (0.799) Data 0.001 (0.003) Loss 2.0322 (2.0458) Prec@1 46.250 (47.446) Prec@5 80.625 (77.829) Epoch: [43][1910/11272] Time 0.831 (0.799) Data 0.001 (0.003) Loss 2.0001 (2.0458) Prec@1 46.875 (47.438) Prec@5 80.000 (77.836) Epoch: [43][1920/11272] Time 0.742 (0.799) Data 0.001 (0.003) Loss 1.9319 (2.0457) Prec@1 46.875 (47.434) Prec@5 79.375 (77.837) Epoch: [43][1930/11272] Time 0.849 (0.799) Data 0.001 (0.003) Loss 2.0543 (2.0457) Prec@1 46.875 (47.428) Prec@5 78.125 (77.845) Epoch: [43][1940/11272] Time 0.859 (0.799) Data 0.001 (0.003) Loss 1.9899 (2.0456) Prec@1 53.125 (47.439) Prec@5 80.000 (77.842) Epoch: [43][1950/11272] Time 0.736 (0.799) Data 0.001 (0.003) Loss 1.8420 (2.0458) Prec@1 50.625 (47.438) Prec@5 77.500 (77.835) Epoch: [43][1960/11272] Time 0.730 (0.799) Data 0.001 (0.003) Loss 1.8261 (2.0458) Prec@1 56.250 (47.437) Prec@5 82.500 (77.832) Epoch: [43][1970/11272] Time 0.884 (0.799) Data 0.002 (0.003) Loss 2.0285 (2.0460) Prec@1 41.250 (47.443) Prec@5 76.875 (77.825) Epoch: [43][1980/11272] Time 0.831 (0.799) Data 0.001 (0.003) Loss 2.0410 (2.0460) Prec@1 48.750 (47.439) Prec@5 76.875 (77.826) Epoch: [43][1990/11272] Time 0.777 (0.799) Data 0.002 (0.003) Loss 2.1230 (2.0463) Prec@1 47.500 (47.436) Prec@5 76.250 (77.823) Epoch: [43][2000/11272] Time 0.731 (0.799) Data 0.001 (0.003) Loss 2.0627 (2.0463) Prec@1 48.750 (47.429) Prec@5 79.375 (77.820) Epoch: [43][2010/11272] Time 0.837 (0.799) Data 0.002 (0.003) Loss 2.0881 (2.0464) Prec@1 47.500 (47.434) Prec@5 74.375 (77.819) Epoch: [43][2020/11272] Time 0.858 (0.799) Data 0.002 (0.003) Loss 2.0088 (2.0460) Prec@1 48.750 (47.440) Prec@5 78.750 (77.821) Epoch: [43][2030/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 2.0654 (2.0457) Prec@1 48.125 (47.454) Prec@5 78.125 (77.826) Epoch: [43][2040/11272] Time 0.706 (0.799) Data 0.001 (0.003) Loss 1.9002 (2.0456) Prec@1 50.625 (47.453) Prec@5 78.750 (77.828) Epoch: [43][2050/11272] Time 0.843 (0.799) Data 0.001 (0.003) Loss 1.9890 (2.0455) Prec@1 43.750 (47.452) Prec@5 80.625 (77.827) Epoch: [43][2060/11272] Time 0.742 (0.799) Data 0.003 (0.003) Loss 1.9270 (2.0456) Prec@1 50.625 (47.455) Prec@5 80.625 (77.827) Epoch: [43][2070/11272] Time 0.752 (0.799) Data 0.001 (0.003) Loss 2.0106 (2.0453) Prec@1 46.250 (47.452) Prec@5 80.625 (77.832) Epoch: [43][2080/11272] Time 0.887 (0.799) Data 0.002 (0.003) Loss 2.2135 (2.0453) Prec@1 43.125 (47.451) Prec@5 75.000 (77.833) Epoch: [43][2090/11272] Time 0.833 (0.799) Data 0.001 (0.003) Loss 2.1146 (2.0455) Prec@1 46.875 (47.447) Prec@5 77.500 (77.833) Epoch: [43][2100/11272] Time 0.740 (0.799) Data 0.001 (0.003) Loss 1.9177 (2.0457) Prec@1 48.750 (47.445) Prec@5 79.375 (77.827) Epoch: [43][2110/11272] Time 0.738 (0.799) Data 0.002 (0.003) Loss 2.0666 (2.0459) Prec@1 50.000 (47.444) Prec@5 81.875 (77.826) Epoch: [43][2120/11272] Time 0.927 (0.799) Data 0.002 (0.003) Loss 1.9586 (2.0460) Prec@1 51.250 (47.449) Prec@5 79.375 (77.823) Epoch: [43][2130/11272] Time 0.856 (0.799) Data 0.002 (0.003) Loss 1.8404 (2.0463) Prec@1 49.375 (47.437) Prec@5 85.000 (77.822) Epoch: [43][2140/11272] Time 0.747 (0.799) Data 0.002 (0.003) Loss 2.0690 (2.0466) Prec@1 45.625 (47.430) Prec@5 78.125 (77.814) Epoch: [43][2150/11272] Time 0.749 (0.799) Data 0.002 (0.003) Loss 2.0133 (2.0464) Prec@1 45.000 (47.431) Prec@5 78.750 (77.821) Epoch: [43][2160/11272] Time 0.861 (0.799) Data 0.001 (0.003) Loss 2.1953 (2.0464) Prec@1 41.250 (47.418) Prec@5 75.000 (77.822) Epoch: [43][2170/11272] Time 0.876 (0.799) Data 0.002 (0.003) Loss 2.0524 (2.0467) Prec@1 42.500 (47.414) Prec@5 80.625 (77.815) Epoch: [43][2180/11272] Time 0.743 (0.799) Data 0.001 (0.003) Loss 2.1121 (2.0471) Prec@1 43.125 (47.402) Prec@5 76.250 (77.812) Epoch: [43][2190/11272] Time 0.833 (0.800) Data 0.001 (0.003) Loss 1.8806 (2.0471) Prec@1 48.125 (47.397) Prec@5 83.125 (77.813) Epoch: [43][2200/11272] Time 0.848 (0.800) Data 0.001 (0.003) Loss 2.2641 (2.0473) Prec@1 43.125 (47.392) Prec@5 75.000 (77.811) Epoch: [43][2210/11272] Time 0.727 (0.800) Data 0.001 (0.003) Loss 1.9508 (2.0470) Prec@1 51.250 (47.396) Prec@5 78.750 (77.811) Epoch: [43][2220/11272] Time 0.749 (0.800) Data 0.002 (0.003) Loss 2.0190 (2.0472) Prec@1 46.250 (47.393) Prec@5 75.625 (77.807) Epoch: [43][2230/11272] Time 0.862 (0.800) Data 0.002 (0.003) Loss 1.9963 (2.0473) Prec@1 48.125 (47.390) Prec@5 78.750 (77.806) Epoch: [43][2240/11272] Time 0.857 (0.800) Data 0.002 (0.003) Loss 2.0092 (2.0475) Prec@1 50.625 (47.379) Prec@5 80.625 (77.807) Epoch: [43][2250/11272] Time 0.713 (0.800) Data 0.001 (0.003) Loss 2.0896 (2.0474) Prec@1 45.000 (47.381) Prec@5 75.625 (77.808) Epoch: [43][2260/11272] Time 0.787 (0.800) Data 0.002 (0.003) Loss 2.1391 (2.0471) Prec@1 43.125 (47.384) Prec@5 80.000 (77.813) Epoch: [43][2270/11272] Time 0.857 (0.800) Data 0.002 (0.003) Loss 2.0526 (2.0471) Prec@1 45.625 (47.385) Prec@5 77.500 (77.812) Epoch: [43][2280/11272] Time 0.847 (0.800) Data 0.001 (0.003) Loss 1.8230 (2.0470) Prec@1 55.000 (47.387) Prec@5 80.625 (77.813) Epoch: [43][2290/11272] Time 0.761 (0.800) Data 0.002 (0.003) Loss 2.0293 (2.0469) Prec@1 48.750 (47.391) Prec@5 76.875 (77.819) Epoch: [43][2300/11272] Time 0.755 (0.800) Data 0.002 (0.003) Loss 2.0625 (2.0467) Prec@1 50.000 (47.397) Prec@5 78.750 (77.820) Epoch: [43][2310/11272] Time 0.898 (0.800) Data 0.002 (0.003) Loss 2.0386 (2.0468) Prec@1 46.875 (47.396) Prec@5 79.375 (77.813) Epoch: [43][2320/11272] Time 0.745 (0.800) Data 0.003 (0.003) Loss 2.0961 (2.0468) Prec@1 45.000 (47.390) Prec@5 76.875 (77.814) Epoch: [43][2330/11272] Time 0.738 (0.800) Data 0.002 (0.003) Loss 2.0779 (2.0467) Prec@1 48.750 (47.394) Prec@5 75.000 (77.814) Epoch: [43][2340/11272] Time 0.875 (0.800) Data 0.001 (0.003) Loss 1.8529 (2.0466) Prec@1 56.875 (47.400) Prec@5 81.250 (77.817) Epoch: [43][2350/11272] Time 0.846 (0.800) Data 0.002 (0.003) Loss 2.2848 (2.0466) Prec@1 40.000 (47.392) Prec@5 74.375 (77.815) Epoch: [43][2360/11272] Time 0.737 (0.800) Data 0.002 (0.003) Loss 1.9927 (2.0464) Prec@1 50.625 (47.398) Prec@5 80.000 (77.822) Epoch: [43][2370/11272] Time 0.737 (0.800) Data 0.002 (0.003) Loss 1.8904 (2.0464) Prec@1 51.250 (47.402) Prec@5 80.625 (77.822) Epoch: [43][2380/11272] Time 0.878 (0.800) Data 0.001 (0.003) Loss 2.2146 (2.0466) Prec@1 48.125 (47.393) Prec@5 76.250 (77.822) Epoch: [43][2390/11272] Time 0.836 (0.800) Data 0.001 (0.003) Loss 1.9779 (2.0464) Prec@1 48.750 (47.389) Prec@5 83.125 (77.826) Epoch: [43][2400/11272] Time 0.732 (0.800) Data 0.001 (0.003) Loss 1.9162 (2.0465) Prec@1 47.500 (47.386) Prec@5 79.375 (77.824) Epoch: [43][2410/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9294 (2.0466) Prec@1 52.500 (47.386) Prec@5 80.000 (77.821) Epoch: [43][2420/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 1.9535 (2.0467) Prec@1 47.500 (47.380) Prec@5 79.375 (77.821) Epoch: [43][2430/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.2452 (2.0470) Prec@1 43.750 (47.377) Prec@5 75.000 (77.815) Epoch: [43][2440/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.2150 (2.0470) Prec@1 45.000 (47.376) Prec@5 73.750 (77.810) Epoch: [43][2450/11272] Time 0.865 (0.800) Data 0.002 (0.002) Loss 1.8358 (2.0471) Prec@1 47.500 (47.375) Prec@5 83.125 (77.810) Epoch: [43][2460/11272] Time 0.941 (0.800) Data 0.001 (0.002) Loss 1.9227 (2.0472) Prec@1 52.500 (47.372) Prec@5 81.875 (77.805) Epoch: [43][2470/11272] Time 0.706 (0.800) Data 0.001 (0.002) Loss 2.0041 (2.0470) Prec@1 45.000 (47.373) Prec@5 81.250 (77.811) Epoch: [43][2480/11272] Time 0.779 (0.800) Data 0.001 (0.002) Loss 2.0367 (2.0470) Prec@1 44.375 (47.378) Prec@5 77.500 (77.808) Epoch: [43][2490/11272] Time 0.892 (0.800) Data 0.001 (0.002) Loss 2.1265 (2.0468) Prec@1 45.000 (47.385) Prec@5 75.625 (77.814) Epoch: [43][2500/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.1415 (2.0469) Prec@1 46.875 (47.383) Prec@5 75.000 (77.808) Epoch: [43][2510/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1879 (2.0467) Prec@1 46.250 (47.390) Prec@5 78.125 (77.811) Epoch: [43][2520/11272] Time 0.803 (0.800) Data 0.002 (0.002) Loss 1.8548 (2.0466) Prec@1 48.750 (47.397) Prec@5 83.750 (77.813) Epoch: [43][2530/11272] Time 0.840 (0.800) Data 0.001 (0.002) Loss 2.2323 (2.0467) Prec@1 38.125 (47.396) Prec@5 72.500 (77.810) Epoch: [43][2540/11272] Time 0.792 (0.800) Data 0.001 (0.002) Loss 1.8825 (2.0465) Prec@1 49.375 (47.404) Prec@5 79.375 (77.811) Epoch: [43][2550/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.0781 (2.0465) Prec@1 45.000 (47.398) Prec@5 75.000 (77.810) Epoch: [43][2560/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9737 (2.0465) Prec@1 50.625 (47.400) Prec@5 81.875 (77.811) Epoch: [43][2570/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.0649 (2.0466) Prec@1 51.250 (47.399) Prec@5 78.750 (77.811) Epoch: [43][2580/11272] Time 0.843 (0.800) Data 0.001 (0.002) Loss 1.9833 (2.0466) Prec@1 47.500 (47.398) Prec@5 81.875 (77.811) Epoch: [43][2590/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 1.9743 (2.0466) Prec@1 50.625 (47.399) Prec@5 80.625 (77.808) Epoch: [43][2600/11272] Time 0.888 (0.800) Data 0.001 (0.002) Loss 1.8980 (2.0467) Prec@1 51.875 (47.398) Prec@5 79.375 (77.803) Epoch: [43][2610/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.0218 (2.0467) Prec@1 43.125 (47.395) Prec@5 79.375 (77.803) Epoch: [43][2620/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9570 (2.0469) Prec@1 53.750 (47.398) Prec@5 80.625 (77.799) Epoch: [43][2630/11272] Time 0.755 (0.800) Data 0.001 (0.002) Loss 1.9610 (2.0470) Prec@1 46.250 (47.392) Prec@5 80.625 (77.798) Epoch: [43][2640/11272] Time 0.869 (0.800) Data 0.001 (0.002) Loss 2.0501 (2.0470) Prec@1 47.500 (47.392) Prec@5 77.500 (77.799) Epoch: [43][2650/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 2.3428 (2.0472) Prec@1 43.750 (47.391) Prec@5 71.875 (77.796) Epoch: [43][2660/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 2.0611 (2.0472) Prec@1 51.250 (47.397) Prec@5 79.375 (77.794) Epoch: [43][2670/11272] Time 0.711 (0.800) Data 0.001 (0.002) Loss 2.1643 (2.0474) Prec@1 36.250 (47.392) Prec@5 78.750 (77.792) Epoch: [43][2680/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1499 (2.0477) Prec@1 46.875 (47.388) Prec@5 71.250 (77.783) Epoch: [43][2690/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1508 (2.0479) Prec@1 43.750 (47.379) Prec@5 75.000 (77.781) Epoch: [43][2700/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 1.9642 (2.0478) Prec@1 48.125 (47.383) Prec@5 75.625 (77.779) Epoch: [43][2710/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 1.9093 (2.0477) Prec@1 45.625 (47.379) Prec@5 82.500 (77.783) Epoch: [43][2720/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 2.3244 (2.0475) Prec@1 42.500 (47.380) Prec@5 70.000 (77.779) Epoch: [43][2730/11272] Time 0.783 (0.800) Data 0.003 (0.002) Loss 2.1588 (2.0473) Prec@1 46.250 (47.380) Prec@5 75.625 (77.784) Epoch: [43][2740/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1868 (2.0472) Prec@1 44.375 (47.379) Prec@5 76.875 (77.792) Epoch: [43][2750/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 1.8978 (2.0473) Prec@1 48.750 (47.376) Prec@5 77.500 (77.790) Epoch: [43][2760/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 1.9134 (2.0475) Prec@1 53.125 (47.371) Prec@5 80.000 (77.783) Epoch: [43][2770/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.0661 (2.0476) Prec@1 47.500 (47.369) Prec@5 76.875 (77.784) Epoch: [43][2780/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 2.0262 (2.0474) Prec@1 49.375 (47.374) Prec@5 73.125 (77.782) Epoch: [43][2790/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 2.0535 (2.0476) Prec@1 47.500 (47.368) Prec@5 78.750 (77.781) Epoch: [43][2800/11272] Time 0.856 (0.801) Data 0.002 (0.002) Loss 2.1107 (2.0476) Prec@1 45.625 (47.364) Prec@5 75.625 (77.777) Epoch: [43][2810/11272] Time 0.778 (0.801) Data 0.002 (0.002) Loss 1.9870 (2.0476) Prec@1 51.250 (47.363) Prec@5 77.500 (77.778) Epoch: [43][2820/11272] Time 0.758 (0.801) Data 0.002 (0.002) Loss 2.1931 (2.0480) Prec@1 45.000 (47.355) Prec@5 75.000 (77.770) Epoch: [43][2830/11272] Time 0.858 (0.801) Data 0.002 (0.002) Loss 2.0403 (2.0479) Prec@1 49.375 (47.360) Prec@5 77.500 (77.770) Epoch: [43][2840/11272] Time 0.838 (0.801) Data 0.001 (0.002) Loss 2.1209 (2.0475) Prec@1 47.500 (47.370) Prec@5 76.875 (77.777) Epoch: [43][2850/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 2.2378 (2.0479) Prec@1 47.500 (47.366) Prec@5 77.500 (77.772) Epoch: [43][2860/11272] Time 0.877 (0.801) Data 0.001 (0.002) Loss 2.1230 (2.0479) Prec@1 48.125 (47.365) Prec@5 76.250 (77.770) Epoch: [43][2870/11272] Time 0.868 (0.801) Data 0.001 (0.002) Loss 1.9974 (2.0479) Prec@1 51.250 (47.362) Prec@5 75.000 (77.768) Epoch: [43][2880/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 1.8819 (2.0480) Prec@1 54.375 (47.361) Prec@5 81.250 (77.765) Epoch: [43][2890/11272] Time 0.727 (0.801) Data 0.001 (0.002) Loss 2.1981 (2.0482) Prec@1 40.625 (47.355) Prec@5 76.250 (77.761) Epoch: [43][2900/11272] Time 0.890 (0.801) Data 0.001 (0.002) Loss 2.1346 (2.0486) Prec@1 45.625 (47.347) Prec@5 76.250 (77.753) Epoch: [43][2910/11272] Time 0.839 (0.801) Data 0.001 (0.002) Loss 2.1104 (2.0487) Prec@1 42.500 (47.345) Prec@5 75.000 (77.750) Epoch: [43][2920/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 1.8245 (2.0485) Prec@1 49.375 (47.347) Prec@5 81.875 (77.753) Epoch: [43][2930/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.2088 (2.0484) Prec@1 45.000 (47.352) Prec@5 75.000 (77.754) Epoch: [43][2940/11272] Time 0.879 (0.801) Data 0.001 (0.002) Loss 2.1839 (2.0484) Prec@1 48.750 (47.351) Prec@5 73.750 (77.752) Epoch: [43][2950/11272] Time 0.843 (0.801) Data 0.001 (0.002) Loss 2.1525 (2.0482) Prec@1 47.500 (47.353) Prec@5 73.750 (77.754) Epoch: [43][2960/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 2.1087 (2.0483) Prec@1 44.375 (47.352) Prec@5 76.250 (77.752) Epoch: [43][2970/11272] Time 0.751 (0.801) Data 0.001 (0.002) Loss 2.1982 (2.0486) Prec@1 42.500 (47.347) Prec@5 71.250 (77.745) Epoch: [43][2980/11272] Time 0.855 (0.801) Data 0.002 (0.002) Loss 2.1234 (2.0486) Prec@1 44.375 (47.346) Prec@5 75.000 (77.746) Epoch: [43][2990/11272] Time 0.756 (0.801) Data 0.004 (0.002) Loss 1.8364 (2.0486) Prec@1 56.250 (47.347) Prec@5 81.875 (77.744) Epoch: [43][3000/11272] Time 0.734 (0.801) Data 0.001 (0.002) Loss 2.0833 (2.0489) Prec@1 48.125 (47.342) Prec@5 78.750 (77.744) Epoch: [43][3010/11272] Time 0.881 (0.801) Data 0.002 (0.002) Loss 1.9911 (2.0491) Prec@1 41.250 (47.329) Prec@5 80.625 (77.742) Epoch: [43][3020/11272] Time 0.874 (0.801) Data 0.001 (0.002) Loss 1.9560 (2.0492) Prec@1 49.375 (47.325) Prec@5 78.750 (77.739) Epoch: [43][3030/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 1.9326 (2.0491) Prec@1 48.750 (47.328) Prec@5 78.125 (77.739) Epoch: [43][3040/11272] Time 0.753 (0.801) Data 0.002 (0.002) Loss 2.0972 (2.0492) Prec@1 48.750 (47.322) Prec@5 77.500 (77.738) Epoch: [43][3050/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 2.1923 (2.0494) Prec@1 49.375 (47.321) Prec@5 75.625 (77.733) Epoch: [43][3060/11272] Time 0.847 (0.801) Data 0.001 (0.002) Loss 1.9949 (2.0494) Prec@1 46.875 (47.322) Prec@5 78.750 (77.732) Epoch: [43][3070/11272] Time 0.721 (0.801) Data 0.001 (0.002) Loss 2.1866 (2.0495) Prec@1 41.875 (47.319) Prec@5 75.000 (77.730) Epoch: [43][3080/11272] Time 0.800 (0.801) Data 0.002 (0.002) Loss 2.0766 (2.0495) Prec@1 51.250 (47.317) Prec@5 75.625 (77.732) Epoch: [43][3090/11272] Time 0.857 (0.801) Data 0.001 (0.002) Loss 2.1072 (2.0496) Prec@1 43.125 (47.311) Prec@5 78.750 (77.732) Epoch: [43][3100/11272] Time 0.857 (0.801) Data 0.001 (0.002) Loss 1.9796 (2.0496) Prec@1 48.125 (47.309) Prec@5 81.250 (77.734) Epoch: [43][3110/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 2.1609 (2.0497) Prec@1 45.000 (47.310) Prec@5 75.625 (77.731) Epoch: [43][3120/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.1637 (2.0498) Prec@1 48.125 (47.310) Prec@5 75.000 (77.732) Epoch: [43][3130/11272] Time 0.846 (0.801) Data 0.002 (0.002) Loss 1.9395 (2.0497) Prec@1 48.125 (47.316) Prec@5 78.750 (77.732) Epoch: [43][3140/11272] Time 0.731 (0.801) Data 0.001 (0.002) Loss 2.0856 (2.0496) Prec@1 46.875 (47.325) Prec@5 75.625 (77.730) Epoch: [43][3150/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 2.2355 (2.0499) Prec@1 43.125 (47.322) Prec@5 73.750 (77.724) Epoch: [43][3160/11272] Time 0.807 (0.801) Data 0.001 (0.002) Loss 2.1240 (2.0499) Prec@1 48.125 (47.318) Prec@5 74.375 (77.728) Epoch: [43][3170/11272] Time 0.835 (0.801) Data 0.001 (0.002) Loss 1.8207 (2.0500) Prec@1 53.750 (47.316) Prec@5 81.250 (77.727) Epoch: [43][3180/11272] Time 0.724 (0.801) Data 0.001 (0.002) Loss 2.0622 (2.0499) Prec@1 47.500 (47.322) Prec@5 80.000 (77.729) Epoch: [43][3190/11272] Time 0.750 (0.801) Data 0.002 (0.002) Loss 1.8963 (2.0498) Prec@1 50.000 (47.325) Prec@5 80.625 (77.731) Epoch: [43][3200/11272] Time 0.832 (0.801) Data 0.001 (0.002) Loss 2.1276 (2.0497) Prec@1 45.625 (47.330) Prec@5 78.125 (77.730) Epoch: [43][3210/11272] Time 0.856 (0.801) Data 0.001 (0.002) Loss 2.1553 (2.0497) Prec@1 47.500 (47.332) Prec@5 73.750 (77.730) Epoch: [43][3220/11272] Time 0.768 (0.801) Data 0.002 (0.002) Loss 1.9214 (2.0497) Prec@1 48.750 (47.326) Prec@5 80.625 (77.730) Epoch: [43][3230/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.8344 (2.0494) Prec@1 51.875 (47.332) Prec@5 80.000 (77.733) Epoch: [43][3240/11272] Time 0.864 (0.801) Data 0.002 (0.002) Loss 2.0715 (2.0496) Prec@1 44.375 (47.329) Prec@5 75.625 (77.730) Epoch: [43][3250/11272] Time 0.729 (0.801) Data 0.003 (0.002) Loss 1.9969 (2.0493) Prec@1 48.125 (47.332) Prec@5 76.875 (77.736) Epoch: [43][3260/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.0606 (2.0491) Prec@1 43.750 (47.335) Prec@5 77.500 (77.741) Epoch: [43][3270/11272] Time 0.875 (0.801) Data 0.002 (0.002) Loss 2.1484 (2.0493) Prec@1 45.000 (47.333) Prec@5 77.500 (77.740) Epoch: [43][3280/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 2.0718 (2.0490) Prec@1 46.875 (47.341) Prec@5 80.000 (77.746) Epoch: [43][3290/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.1237 (2.0491) Prec@1 50.625 (47.342) Prec@5 76.875 (77.746) Epoch: [43][3300/11272] Time 0.748 (0.801) Data 0.001 (0.002) Loss 2.1275 (2.0490) Prec@1 45.000 (47.341) Prec@5 76.875 (77.745) Epoch: [43][3310/11272] Time 0.886 (0.801) Data 0.002 (0.002) Loss 1.8837 (2.0490) Prec@1 51.250 (47.336) Prec@5 83.750 (77.748) Epoch: [43][3320/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 2.0376 (2.0491) Prec@1 43.125 (47.331) Prec@5 79.375 (77.745) Epoch: [43][3330/11272] Time 0.715 (0.801) Data 0.002 (0.002) Loss 1.8507 (2.0490) Prec@1 50.000 (47.331) Prec@5 82.500 (77.747) Epoch: [43][3340/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 2.3908 (2.0491) Prec@1 41.250 (47.329) Prec@5 68.750 (77.744) Epoch: [43][3350/11272] Time 0.858 (0.801) Data 0.001 (0.002) Loss 2.1098 (2.0494) Prec@1 43.125 (47.326) Prec@5 75.625 (77.740) Epoch: [43][3360/11272] Time 0.817 (0.801) Data 0.001 (0.002) Loss 1.9030 (2.0494) Prec@1 51.250 (47.324) Prec@5 78.125 (77.734) Epoch: [43][3370/11272] Time 0.768 (0.801) Data 0.002 (0.002) Loss 2.1266 (2.0495) Prec@1 48.750 (47.323) Prec@5 76.250 (77.732) Epoch: [43][3380/11272] Time 0.891 (0.801) Data 0.002 (0.002) Loss 2.0217 (2.0497) Prec@1 51.250 (47.323) Prec@5 82.500 (77.728) Epoch: [43][3390/11272] Time 0.853 (0.801) Data 0.002 (0.002) Loss 2.1771 (2.0498) Prec@1 43.750 (47.323) Prec@5 78.125 (77.729) Epoch: [43][3400/11272] Time 0.727 (0.801) Data 0.001 (0.002) Loss 2.2109 (2.0497) Prec@1 43.125 (47.326) Prec@5 73.125 (77.731) Epoch: [43][3410/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.0442 (2.0498) Prec@1 49.375 (47.322) Prec@5 78.750 (77.731) Epoch: [43][3420/11272] Time 0.824 (0.801) Data 0.001 (0.002) Loss 2.0199 (2.0496) Prec@1 41.875 (47.326) Prec@5 77.500 (77.737) Epoch: [43][3430/11272] Time 0.894 (0.801) Data 0.002 (0.002) Loss 2.0384 (2.0496) Prec@1 49.375 (47.332) Prec@5 78.125 (77.737) Epoch: [43][3440/11272] Time 0.762 (0.801) Data 0.002 (0.002) Loss 2.0498 (2.0497) Prec@1 46.250 (47.330) Prec@5 78.125 (77.732) Epoch: [43][3450/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.1310 (2.0496) Prec@1 45.625 (47.330) Prec@5 80.000 (77.734) Epoch: [43][3460/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 2.0869 (2.0496) Prec@1 48.125 (47.327) Prec@5 72.500 (77.733) Epoch: [43][3470/11272] Time 0.906 (0.801) Data 0.002 (0.002) Loss 1.8391 (2.0497) Prec@1 53.750 (47.326) Prec@5 75.000 (77.732) Epoch: [43][3480/11272] Time 0.726 (0.801) Data 0.001 (0.002) Loss 2.3698 (2.0497) Prec@1 39.375 (47.327) Prec@5 71.875 (77.731) Epoch: [43][3490/11272] Time 0.793 (0.801) Data 0.002 (0.002) Loss 2.2484 (2.0496) Prec@1 40.625 (47.328) Prec@5 73.750 (77.731) Epoch: [43][3500/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 1.9306 (2.0497) Prec@1 51.250 (47.325) Prec@5 78.750 (77.734) Epoch: [43][3510/11272] Time 0.845 (0.802) Data 0.002 (0.002) Loss 1.9880 (2.0497) Prec@1 48.750 (47.320) Prec@5 79.375 (77.736) Epoch: [43][3520/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.0184 (2.0498) Prec@1 49.375 (47.316) Prec@5 80.000 (77.736) Epoch: [43][3530/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 2.0587 (2.0499) Prec@1 48.125 (47.316) Prec@5 75.000 (77.736) Epoch: [43][3540/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 2.1736 (2.0497) Prec@1 44.375 (47.318) Prec@5 76.875 (77.743) Epoch: [43][3550/11272] Time 0.764 (0.801) Data 0.002 (0.002) Loss 1.9584 (2.0496) Prec@1 54.375 (47.322) Prec@5 78.750 (77.741) Epoch: [43][3560/11272] Time 0.742 (0.802) Data 0.001 (0.002) Loss 2.1589 (2.0497) Prec@1 50.000 (47.318) Prec@5 76.875 (77.741) Epoch: [43][3570/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.0046 (2.0497) Prec@1 47.500 (47.319) Prec@5 77.500 (77.740) Epoch: [43][3580/11272] Time 0.864 (0.802) Data 0.002 (0.002) Loss 2.1444 (2.0498) Prec@1 47.500 (47.316) Prec@5 76.875 (77.739) Epoch: [43][3590/11272] Time 0.749 (0.802) Data 0.001 (0.002) Loss 1.9210 (2.0499) Prec@1 47.500 (47.312) Prec@5 78.125 (77.735) Epoch: [43][3600/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.1232 (2.0499) Prec@1 45.000 (47.309) Prec@5 75.000 (77.736) Epoch: [43][3610/11272] Time 0.845 (0.802) Data 0.001 (0.002) Loss 2.1489 (2.0498) Prec@1 47.500 (47.313) Prec@5 80.000 (77.739) Epoch: [43][3620/11272] Time 0.858 (0.802) Data 0.001 (0.002) Loss 2.1946 (2.0501) Prec@1 41.250 (47.303) Prec@5 71.875 (77.732) Epoch: [43][3630/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 1.9469 (2.0501) Prec@1 51.875 (47.308) Prec@5 78.750 (77.733) Epoch: [43][3640/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 2.2746 (2.0502) Prec@1 46.250 (47.308) Prec@5 75.000 (77.732) Epoch: [43][3650/11272] Time 0.860 (0.802) Data 0.002 (0.002) Loss 2.0305 (2.0501) Prec@1 48.125 (47.309) Prec@5 76.250 (77.732) Epoch: [43][3660/11272] Time 0.768 (0.802) Data 0.002 (0.002) Loss 2.0594 (2.0502) Prec@1 46.875 (47.303) Prec@5 80.000 (77.729) Epoch: [43][3670/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 1.8910 (2.0502) Prec@1 50.625 (47.304) Prec@5 86.250 (77.732) Epoch: [43][3680/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 2.1636 (2.0503) Prec@1 43.125 (47.301) Prec@5 78.750 (77.734) Epoch: [43][3690/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.2222 (2.0504) Prec@1 44.375 (47.299) Prec@5 76.875 (77.734) Epoch: [43][3700/11272] Time 0.770 (0.802) Data 0.002 (0.002) Loss 2.0643 (2.0503) Prec@1 47.500 (47.299) Prec@5 76.875 (77.735) Epoch: [43][3710/11272] Time 0.780 (0.802) Data 0.002 (0.002) Loss 2.2167 (2.0504) Prec@1 47.500 (47.299) Prec@5 75.000 (77.734) Epoch: [43][3720/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.9456 (2.0503) Prec@1 51.875 (47.301) Prec@5 80.625 (77.735) Epoch: [43][3730/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 1.8803 (2.0506) Prec@1 53.750 (47.299) Prec@5 80.625 (77.730) Epoch: [43][3740/11272] Time 0.782 (0.802) Data 0.002 (0.002) Loss 2.2168 (2.0507) Prec@1 38.750 (47.294) Prec@5 78.750 (77.729) Epoch: [43][3750/11272] Time 0.737 (0.802) Data 0.003 (0.002) Loss 2.1624 (2.0509) Prec@1 42.500 (47.294) Prec@5 76.250 (77.724) Epoch: [43][3760/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.1961 (2.0510) Prec@1 45.000 (47.292) Prec@5 76.875 (77.721) Epoch: [43][3770/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 2.0273 (2.0511) Prec@1 41.875 (47.288) Prec@5 82.500 (77.723) Epoch: [43][3780/11272] Time 0.745 (0.802) Data 0.001 (0.002) Loss 1.9291 (2.0511) Prec@1 51.875 (47.288) Prec@5 80.625 (77.722) Epoch: [43][3790/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 2.0222 (2.0511) Prec@1 48.750 (47.290) Prec@5 76.250 (77.722) Epoch: [43][3800/11272] Time 0.853 (0.802) Data 0.001 (0.002) Loss 2.0760 (2.0511) Prec@1 48.125 (47.294) Prec@5 75.000 (77.719) Epoch: [43][3810/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 2.2618 (2.0511) Prec@1 40.625 (47.290) Prec@5 75.625 (77.722) Epoch: [43][3820/11272] Time 0.779 (0.802) Data 0.001 (0.002) Loss 2.1451 (2.0510) Prec@1 43.750 (47.290) Prec@5 79.375 (77.724) Epoch: [43][3830/11272] Time 0.898 (0.802) Data 0.001 (0.002) Loss 2.1544 (2.0513) Prec@1 45.625 (47.287) Prec@5 76.250 (77.720) Epoch: [43][3840/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 2.2622 (2.0512) Prec@1 45.625 (47.282) Prec@5 73.750 (77.721) Epoch: [43][3850/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.1105 (2.0514) Prec@1 48.125 (47.278) Prec@5 77.500 (77.717) Epoch: [43][3860/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.9741 (2.0514) Prec@1 47.500 (47.281) Prec@5 79.375 (77.718) Epoch: [43][3870/11272] Time 0.899 (0.802) Data 0.001 (0.002) Loss 2.0696 (2.0514) Prec@1 48.750 (47.284) Prec@5 75.625 (77.719) Epoch: [43][3880/11272] Time 0.887 (0.802) Data 0.001 (0.002) Loss 2.0766 (2.0514) Prec@1 45.625 (47.282) Prec@5 77.500 (77.719) Epoch: [43][3890/11272] Time 0.766 (0.802) Data 0.002 (0.002) Loss 2.1572 (2.0515) Prec@1 41.250 (47.280) Prec@5 75.625 (77.718) Epoch: [43][3900/11272] Time 0.719 (0.802) Data 0.001 (0.002) Loss 2.0790 (2.0514) Prec@1 41.875 (47.281) Prec@5 80.000 (77.718) Epoch: [43][3910/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 1.9879 (2.0514) Prec@1 51.875 (47.283) Prec@5 73.125 (77.717) Epoch: [43][3920/11272] Time 0.713 (0.802) Data 0.003 (0.002) Loss 2.0954 (2.0515) Prec@1 43.125 (47.281) Prec@5 78.125 (77.715) Epoch: [43][3930/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 2.0932 (2.0515) Prec@1 45.625 (47.275) Prec@5 75.000 (77.716) Epoch: [43][3940/11272] Time 0.887 (0.802) Data 0.002 (0.002) Loss 2.0477 (2.0517) Prec@1 48.750 (47.270) Prec@5 76.875 (77.713) Epoch: [43][3950/11272] Time 0.871 (0.802) Data 0.002 (0.002) Loss 1.9114 (2.0516) Prec@1 50.000 (47.270) Prec@5 78.750 (77.711) Epoch: [43][3960/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.3195 (2.0519) Prec@1 42.500 (47.261) Prec@5 73.125 (77.705) Epoch: [43][3970/11272] Time 0.759 (0.802) Data 0.001 (0.002) Loss 2.0544 (2.0518) Prec@1 48.750 (47.264) Prec@5 80.625 (77.705) Epoch: [43][3980/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 1.9990 (2.0519) Prec@1 48.125 (47.262) Prec@5 76.250 (77.706) Epoch: [43][3990/11272] Time 0.844 (0.802) Data 0.002 (0.002) Loss 1.8258 (2.0520) Prec@1 51.250 (47.258) Prec@5 85.625 (77.705) Epoch: [43][4000/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 2.0543 (2.0520) Prec@1 48.125 (47.257) Prec@5 78.750 (77.706) Epoch: [43][4010/11272] Time 0.748 (0.802) Data 0.001 (0.002) Loss 2.0664 (2.0520) Prec@1 48.125 (47.257) Prec@5 77.500 (77.705) Epoch: [43][4020/11272] Time 0.852 (0.802) Data 0.002 (0.002) Loss 1.9853 (2.0520) Prec@1 48.125 (47.257) Prec@5 77.500 (77.706) Epoch: [43][4030/11272] Time 0.923 (0.802) Data 0.002 (0.002) Loss 2.0216 (2.0521) Prec@1 52.500 (47.256) Prec@5 78.750 (77.703) Epoch: [43][4040/11272] Time 0.724 (0.802) Data 0.001 (0.002) Loss 2.1913 (2.0521) Prec@1 41.875 (47.253) Prec@5 76.250 (77.704) Epoch: [43][4050/11272] Time 0.877 (0.802) Data 0.001 (0.002) Loss 2.2053 (2.0521) Prec@1 46.250 (47.257) Prec@5 75.000 (77.706) Epoch: [43][4060/11272] Time 0.859 (0.802) Data 0.001 (0.002) Loss 2.0350 (2.0521) Prec@1 46.250 (47.260) Prec@5 79.375 (77.707) Epoch: [43][4070/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 2.2614 (2.0522) Prec@1 45.625 (47.258) Prec@5 71.875 (77.710) Epoch: [43][4080/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 2.0689 (2.0522) Prec@1 43.125 (47.255) Prec@5 78.750 (77.707) Epoch: [43][4090/11272] Time 0.886 (0.802) Data 0.002 (0.002) Loss 2.0298 (2.0522) Prec@1 43.125 (47.253) Prec@5 76.250 (77.705) Epoch: [43][4100/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 1.9303 (2.0521) Prec@1 55.000 (47.254) Prec@5 78.125 (77.707) Epoch: [43][4110/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 2.3065 (2.0522) Prec@1 40.625 (47.250) Prec@5 73.750 (77.707) Epoch: [43][4120/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 2.0873 (2.0523) Prec@1 46.875 (47.246) Prec@5 76.875 (77.707) Epoch: [43][4130/11272] Time 0.888 (0.802) Data 0.002 (0.002) Loss 2.1025 (2.0522) Prec@1 45.000 (47.247) Prec@5 80.625 (77.712) Epoch: [43][4140/11272] Time 0.893 (0.802) Data 0.002 (0.002) Loss 1.9553 (2.0521) Prec@1 44.375 (47.244) Prec@5 78.125 (77.716) Epoch: [43][4150/11272] Time 0.747 (0.802) Data 0.001 (0.002) Loss 2.1880 (2.0523) Prec@1 41.875 (47.241) Prec@5 76.875 (77.713) Epoch: [43][4160/11272] Time 0.702 (0.802) Data 0.001 (0.002) Loss 2.0900 (2.0523) Prec@1 45.625 (47.242) Prec@5 75.000 (77.710) Epoch: [43][4170/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 2.0238 (2.0523) Prec@1 46.875 (47.240) Prec@5 75.000 (77.709) Epoch: [43][4180/11272] Time 0.745 (0.802) Data 0.003 (0.002) Loss 1.8145 (2.0522) Prec@1 49.375 (47.239) Prec@5 81.875 (77.710) Epoch: [43][4190/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 2.1264 (2.0524) Prec@1 51.875 (47.235) Prec@5 76.250 (77.709) Epoch: [43][4200/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.0830 (2.0524) Prec@1 51.250 (47.230) Prec@5 76.875 (77.708) Epoch: [43][4210/11272] Time 0.856 (0.802) Data 0.002 (0.002) Loss 2.2932 (2.0525) Prec@1 40.000 (47.230) Prec@5 75.000 (77.709) Epoch: [43][4220/11272] Time 0.734 (0.802) Data 0.001 (0.002) Loss 2.0000 (2.0525) Prec@1 49.375 (47.228) Prec@5 75.000 (77.710) Epoch: [43][4230/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.2382 (2.0527) Prec@1 43.750 (47.224) Prec@5 75.000 (77.710) Epoch: [43][4240/11272] Time 0.955 (0.802) Data 0.001 (0.002) Loss 2.2844 (2.0529) Prec@1 45.625 (47.222) Prec@5 72.500 (77.705) Epoch: [43][4250/11272] Time 0.804 (0.802) Data 0.001 (0.002) Loss 2.2935 (2.0530) Prec@1 40.625 (47.218) Prec@5 75.000 (77.705) Epoch: [43][4260/11272] Time 0.724 (0.802) Data 0.001 (0.002) Loss 1.9665 (2.0530) Prec@1 51.250 (47.216) Prec@5 81.875 (77.705) Epoch: [43][4270/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 2.0387 (2.0529) Prec@1 46.250 (47.219) Prec@5 78.750 (77.703) Epoch: [43][4280/11272] Time 0.873 (0.802) Data 0.001 (0.002) Loss 2.1145 (2.0532) Prec@1 39.375 (47.213) Prec@5 80.625 (77.699) Epoch: [43][4290/11272] Time 0.823 (0.802) Data 0.001 (0.002) Loss 2.0223 (2.0533) Prec@1 48.125 (47.204) Prec@5 76.250 (77.699) Epoch: [43][4300/11272] Time 0.760 (0.802) Data 0.001 (0.002) Loss 1.9912 (2.0533) Prec@1 49.375 (47.206) Prec@5 75.625 (77.700) Epoch: [43][4310/11272] Time 0.846 (0.802) Data 0.001 (0.002) Loss 1.9827 (2.0533) Prec@1 49.375 (47.206) Prec@5 75.625 (77.698) Epoch: [43][4320/11272] Time 0.817 (0.802) Data 0.001 (0.002) Loss 2.0589 (2.0532) Prec@1 50.000 (47.209) Prec@5 80.000 (77.702) Epoch: [43][4330/11272] Time 0.738 (0.802) Data 0.001 (0.002) Loss 2.0761 (2.0533) Prec@1 46.875 (47.207) Prec@5 80.000 (77.701) Epoch: [43][4340/11272] Time 0.748 (0.802) Data 0.001 (0.002) Loss 2.1642 (2.0533) Prec@1 42.500 (47.205) Prec@5 76.250 (77.701) Epoch: [43][4350/11272] Time 0.834 (0.802) Data 0.001 (0.002) Loss 2.0864 (2.0534) Prec@1 45.625 (47.202) Prec@5 73.125 (77.700) Epoch: [43][4360/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 2.1209 (2.0534) Prec@1 48.125 (47.201) Prec@5 75.000 (77.702) Epoch: [43][4370/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 2.1733 (2.0537) Prec@1 43.750 (47.195) Prec@5 75.625 (77.698) Epoch: [43][4380/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 2.2967 (2.0538) Prec@1 43.125 (47.195) Prec@5 73.125 (77.697) Epoch: [43][4390/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 1.9840 (2.0540) Prec@1 51.250 (47.189) Prec@5 75.625 (77.690) Epoch: [43][4400/11272] Time 0.824 (0.802) Data 0.001 (0.002) Loss 2.0339 (2.0540) Prec@1 50.625 (47.189) Prec@5 78.125 (77.689) Epoch: [43][4410/11272] Time 0.734 (0.802) Data 0.001 (0.002) Loss 2.1041 (2.0542) Prec@1 43.750 (47.187) Prec@5 76.875 (77.688) Epoch: [43][4420/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.0661 (2.0542) Prec@1 45.000 (47.187) Prec@5 79.375 (77.692) Epoch: [43][4430/11272] Time 0.861 (0.802) Data 0.001 (0.002) Loss 2.1134 (2.0541) Prec@1 45.625 (47.187) Prec@5 75.625 (77.693) Epoch: [43][4440/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 1.8669 (2.0542) Prec@1 52.500 (47.184) Prec@5 81.250 (77.692) Epoch: [43][4450/11272] Time 0.744 (0.801) Data 0.001 (0.002) Loss 1.9709 (2.0541) Prec@1 50.625 (47.187) Prec@5 80.000 (77.692) Epoch: [43][4460/11272] Time 0.872 (0.801) Data 0.002 (0.002) Loss 2.1570 (2.0543) Prec@1 50.000 (47.186) Prec@5 75.625 (77.686) Epoch: [43][4470/11272] Time 0.808 (0.801) Data 0.001 (0.002) Loss 1.8457 (2.0541) Prec@1 51.250 (47.189) Prec@5 82.500 (77.690) Epoch: [43][4480/11272] Time 0.751 (0.801) Data 0.001 (0.002) Loss 2.0876 (2.0542) Prec@1 49.375 (47.188) Prec@5 76.875 (77.686) Epoch: [43][4490/11272] Time 0.747 (0.801) Data 0.001 (0.002) Loss 2.0413 (2.0543) Prec@1 47.500 (47.187) Prec@5 79.375 (77.685) Epoch: [43][4500/11272] Time 0.827 (0.801) Data 0.001 (0.002) Loss 2.0272 (2.0543) Prec@1 42.500 (47.186) Prec@5 80.000 (77.685) Epoch: [43][4510/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 1.8380 (2.0542) Prec@1 55.000 (47.188) Prec@5 85.000 (77.686) Epoch: [43][4520/11272] Time 0.729 (0.801) Data 0.001 (0.002) Loss 2.0879 (2.0541) Prec@1 43.750 (47.190) Prec@5 76.250 (77.688) Epoch: [43][4530/11272] Time 0.727 (0.801) Data 0.001 (0.002) Loss 1.9061 (2.0541) Prec@1 53.125 (47.188) Prec@5 80.625 (77.690) Epoch: [43][4540/11272] Time 0.848 (0.801) Data 0.001 (0.002) Loss 2.0896 (2.0540) Prec@1 48.125 (47.192) Prec@5 73.750 (77.690) Epoch: [43][4550/11272] Time 0.821 (0.801) Data 0.001 (0.002) Loss 1.9581 (2.0540) Prec@1 53.750 (47.191) Prec@5 77.500 (77.686) Epoch: [43][4560/11272] Time 0.727 (0.801) Data 0.001 (0.002) Loss 2.2640 (2.0540) Prec@1 43.125 (47.195) Prec@5 74.375 (77.686) Epoch: [43][4570/11272] Time 0.719 (0.801) Data 0.001 (0.002) Loss 2.1751 (2.0540) Prec@1 47.500 (47.194) Prec@5 76.875 (77.687) Epoch: [43][4580/11272] Time 0.836 (0.801) Data 0.001 (0.002) Loss 2.0485 (2.0540) Prec@1 45.000 (47.196) Prec@5 78.750 (77.685) Epoch: [43][4590/11272] Time 0.725 (0.801) Data 0.001 (0.002) Loss 2.0593 (2.0540) Prec@1 44.375 (47.193) Prec@5 76.250 (77.683) Epoch: [43][4600/11272] Time 0.758 (0.801) Data 0.001 (0.002) Loss 1.8816 (2.0540) Prec@1 53.125 (47.195) Prec@5 80.000 (77.683) Epoch: [43][4610/11272] Time 0.859 (0.801) Data 0.001 (0.002) Loss 2.0327 (2.0540) Prec@1 48.750 (47.194) Prec@5 78.125 (77.685) Epoch: [43][4620/11272] Time 0.827 (0.801) Data 0.001 (0.002) Loss 2.0674 (2.0541) Prec@1 43.750 (47.192) Prec@5 73.750 (77.683) Epoch: [43][4630/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 2.1498 (2.0544) Prec@1 43.125 (47.187) Prec@5 75.000 (77.679) Epoch: [43][4640/11272] Time 0.755 (0.801) Data 0.001 (0.002) Loss 2.2463 (2.0544) Prec@1 41.875 (47.187) Prec@5 75.625 (77.679) Epoch: [43][4650/11272] Time 0.834 (0.801) Data 0.001 (0.002) Loss 1.8075 (2.0545) Prec@1 55.625 (47.187) Prec@5 81.875 (77.678) Epoch: [43][4660/11272] Time 0.850 (0.801) Data 0.001 (0.002) Loss 1.9844 (2.0545) Prec@1 45.625 (47.185) Prec@5 79.375 (77.678) Epoch: [43][4670/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 2.1362 (2.0546) Prec@1 45.000 (47.184) Prec@5 78.125 (77.677) Epoch: [43][4680/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.1870 (2.0547) Prec@1 46.875 (47.184) Prec@5 74.375 (77.676) Epoch: [43][4690/11272] Time 0.863 (0.801) Data 0.001 (0.002) Loss 2.1197 (2.0547) Prec@1 45.625 (47.181) Prec@5 73.125 (77.672) Epoch: [43][4700/11272] Time 0.869 (0.801) Data 0.001 (0.002) Loss 2.3364 (2.0549) Prec@1 40.625 (47.177) Prec@5 69.375 (77.672) Epoch: [43][4710/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 1.8754 (2.0547) Prec@1 52.500 (47.181) Prec@5 81.875 (77.676) Epoch: [43][4720/11272] Time 0.879 (0.801) Data 0.001 (0.002) Loss 2.3092 (2.0548) Prec@1 40.000 (47.181) Prec@5 71.250 (77.674) Epoch: [43][4730/11272] Time 0.902 (0.801) Data 0.005 (0.002) Loss 2.1120 (2.0548) Prec@1 43.750 (47.181) Prec@5 77.500 (77.671) Epoch: [43][4740/11272] Time 0.735 (0.801) Data 0.001 (0.002) Loss 1.8980 (2.0547) Prec@1 48.125 (47.185) Prec@5 80.625 (77.676) Epoch: [43][4750/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 2.1906 (2.0550) Prec@1 46.875 (47.180) Prec@5 77.500 (77.669) Epoch: [43][4760/11272] Time 0.858 (0.801) Data 0.001 (0.002) Loss 2.1349 (2.0549) Prec@1 47.500 (47.179) Prec@5 74.375 (77.669) Epoch: [43][4770/11272] Time 0.824 (0.801) Data 0.001 (0.002) Loss 2.0367 (2.0549) Prec@1 48.125 (47.180) Prec@5 76.875 (77.669) Epoch: [43][4780/11272] Time 0.747 (0.801) Data 0.001 (0.002) Loss 2.2799 (2.0550) Prec@1 41.875 (47.181) Prec@5 71.875 (77.666) Epoch: [43][4790/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.0107 (2.0551) Prec@1 51.250 (47.181) Prec@5 78.125 (77.663) Epoch: [43][4800/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1384 (2.0550) Prec@1 43.125 (47.181) Prec@5 77.500 (77.666) Epoch: [43][4810/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.8586 (2.0551) Prec@1 56.250 (47.181) Prec@5 78.125 (77.662) Epoch: [43][4820/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1122 (2.0552) Prec@1 41.875 (47.178) Prec@5 78.125 (77.662) Epoch: [43][4830/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.2271 (2.0551) Prec@1 41.250 (47.182) Prec@5 76.875 (77.662) Epoch: [43][4840/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.0983 (2.0551) Prec@1 43.750 (47.181) Prec@5 79.375 (77.662) Epoch: [43][4850/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.9060 (2.0551) Prec@1 54.375 (47.182) Prec@5 80.000 (77.663) Epoch: [43][4860/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 1.9547 (2.0551) Prec@1 48.750 (47.182) Prec@5 81.250 (77.664) Epoch: [43][4870/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 2.1317 (2.0552) Prec@1 47.500 (47.180) Prec@5 71.875 (77.662) Epoch: [43][4880/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 1.9912 (2.0551) Prec@1 53.750 (47.189) Prec@5 78.750 (77.664) Epoch: [43][4890/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 2.0496 (2.0549) Prec@1 48.125 (47.192) Prec@5 76.875 (77.668) Epoch: [43][4900/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.0360 (2.0549) Prec@1 43.125 (47.192) Prec@5 75.000 (77.667) Epoch: [43][4910/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 2.0156 (2.0550) Prec@1 48.750 (47.192) Prec@5 79.375 (77.668) Epoch: [43][4920/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 1.8996 (2.0549) Prec@1 48.750 (47.192) Prec@5 81.250 (77.670) Epoch: [43][4930/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.2667 (2.0550) Prec@1 38.125 (47.189) Prec@5 75.000 (77.669) Epoch: [43][4940/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0964 (2.0550) Prec@1 40.000 (47.188) Prec@5 80.625 (77.668) Epoch: [43][4950/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 2.1406 (2.0550) Prec@1 45.000 (47.186) Prec@5 76.875 (77.667) Epoch: [43][4960/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.1472 (2.0550) Prec@1 43.750 (47.188) Prec@5 78.125 (77.667) Epoch: [43][4970/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1076 (2.0553) Prec@1 47.500 (47.184) Prec@5 79.375 (77.664) Epoch: [43][4980/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 1.9711 (2.0552) Prec@1 50.625 (47.184) Prec@5 78.125 (77.666) Epoch: [43][4990/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 2.3090 (2.0553) Prec@1 46.875 (47.183) Prec@5 73.125 (77.665) Epoch: [43][5000/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.0613 (2.0554) Prec@1 40.000 (47.181) Prec@5 75.625 (77.664) Epoch: [43][5010/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0887 (2.0555) Prec@1 46.250 (47.180) Prec@5 78.125 (77.664) Epoch: [43][5020/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.0289 (2.0554) Prec@1 46.875 (47.181) Prec@5 73.750 (77.664) Epoch: [43][5030/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.1259 (2.0553) Prec@1 45.000 (47.181) Prec@5 76.250 (77.667) Epoch: [43][5040/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.1586 (2.0554) Prec@1 41.250 (47.180) Prec@5 73.750 (77.665) Epoch: [43][5050/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.0780 (2.0554) Prec@1 45.625 (47.180) Prec@5 75.000 (77.663) Epoch: [43][5060/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.1545 (2.0554) Prec@1 46.875 (47.182) Prec@5 78.750 (77.664) Epoch: [43][5070/11272] Time 0.821 (0.800) Data 0.001 (0.002) Loss 2.2604 (2.0553) Prec@1 43.125 (47.185) Prec@5 75.625 (77.665) Epoch: [43][5080/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.4649 (2.0553) Prec@1 38.125 (47.186) Prec@5 70.000 (77.665) Epoch: [43][5090/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.0751 (2.0555) Prec@1 49.375 (47.182) Prec@5 77.500 (77.663) Epoch: [43][5100/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 1.8730 (2.0555) Prec@1 48.125 (47.184) Prec@5 82.500 (77.663) Epoch: [43][5110/11272] Time 0.741 (0.800) Data 0.003 (0.002) Loss 2.1259 (2.0556) Prec@1 47.500 (47.184) Prec@5 79.375 (77.664) Epoch: [43][5120/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.0019 (2.0557) Prec@1 48.125 (47.179) Prec@5 80.625 (77.658) Epoch: [43][5130/11272] Time 0.821 (0.800) Data 0.001 (0.002) Loss 1.9541 (2.0557) Prec@1 48.125 (47.178) Prec@5 81.250 (77.659) Epoch: [43][5140/11272] Time 0.875 (0.800) Data 0.001 (0.002) Loss 2.2048 (2.0557) Prec@1 42.500 (47.177) Prec@5 71.250 (77.660) Epoch: [43][5150/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 2.0711 (2.0556) Prec@1 41.875 (47.178) Prec@5 80.000 (77.661) Epoch: [43][5160/11272] Time 0.719 (0.799) Data 0.001 (0.002) Loss 2.2631 (2.0557) Prec@1 44.375 (47.177) Prec@5 72.500 (77.659) Epoch: [43][5170/11272] Time 0.827 (0.799) Data 0.001 (0.002) Loss 2.1412 (2.0558) Prec@1 46.250 (47.174) Prec@5 73.750 (77.657) Epoch: [43][5180/11272] Time 0.828 (0.799) Data 0.001 (0.002) Loss 2.0627 (2.0558) Prec@1 46.250 (47.174) Prec@5 75.000 (77.654) Epoch: [43][5190/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 1.9930 (2.0558) Prec@1 48.750 (47.175) Prec@5 79.375 (77.654) Epoch: [43][5200/11272] Time 0.736 (0.799) Data 0.001 (0.002) Loss 2.1325 (2.0557) Prec@1 46.875 (47.176) Prec@5 74.375 (77.654) Epoch: [43][5210/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 2.2052 (2.0558) Prec@1 44.375 (47.175) Prec@5 74.375 (77.654) Epoch: [43][5220/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 1.8993 (2.0559) Prec@1 45.625 (47.172) Prec@5 81.250 (77.650) Epoch: [43][5230/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 2.1039 (2.0560) Prec@1 43.125 (47.170) Prec@5 77.500 (77.650) Epoch: [43][5240/11272] Time 0.883 (0.799) Data 0.001 (0.002) Loss 2.2850 (2.0561) Prec@1 41.875 (47.168) Prec@5 72.500 (77.647) Epoch: [43][5250/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 2.3067 (2.0562) Prec@1 41.875 (47.165) Prec@5 70.625 (77.644) Epoch: [43][5260/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 2.3336 (2.0562) Prec@1 40.625 (47.164) Prec@5 73.750 (77.645) Epoch: [43][5270/11272] Time 0.724 (0.799) Data 0.001 (0.002) Loss 2.2222 (2.0563) Prec@1 45.625 (47.163) Prec@5 72.500 (77.645) Epoch: [43][5280/11272] Time 0.835 (0.799) Data 0.001 (0.002) Loss 1.9747 (2.0563) Prec@1 49.375 (47.164) Prec@5 80.000 (77.643) Epoch: [43][5290/11272] Time 0.863 (0.799) Data 0.001 (0.002) Loss 2.1051 (2.0563) Prec@1 48.750 (47.163) Prec@5 78.125 (77.643) Epoch: [43][5300/11272] Time 0.725 (0.799) Data 0.001 (0.002) Loss 2.0317 (2.0561) Prec@1 55.625 (47.167) Prec@5 80.000 (77.645) Epoch: [43][5310/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 2.1169 (2.0562) Prec@1 44.375 (47.164) Prec@5 75.000 (77.646) Epoch: [43][5320/11272] Time 0.834 (0.799) Data 0.001 (0.002) Loss 2.0739 (2.0562) Prec@1 46.250 (47.165) Prec@5 77.500 (77.646) Epoch: [43][5330/11272] Time 0.815 (0.799) Data 0.001 (0.002) Loss 1.9655 (2.0561) Prec@1 46.875 (47.167) Prec@5 80.625 (77.648) Epoch: [43][5340/11272] Time 0.717 (0.799) Data 0.001 (0.002) Loss 2.1137 (2.0562) Prec@1 47.500 (47.164) Prec@5 76.875 (77.648) Epoch: [43][5350/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.9664 (2.0562) Prec@1 50.000 (47.165) Prec@5 77.500 (77.650) Epoch: [43][5360/11272] Time 0.820 (0.799) Data 0.001 (0.002) Loss 2.1943 (2.0563) Prec@1 46.875 (47.164) Prec@5 76.250 (77.649) Epoch: [43][5370/11272] Time 0.828 (0.799) Data 0.001 (0.002) Loss 2.0332 (2.0563) Prec@1 45.000 (47.160) Prec@5 79.375 (77.648) Epoch: [43][5380/11272] Time 0.733 (0.799) Data 0.001 (0.002) Loss 2.2234 (2.0564) Prec@1 43.750 (47.159) Prec@5 78.750 (77.647) Epoch: [43][5390/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 1.9654 (2.0563) Prec@1 50.000 (47.159) Prec@5 79.375 (77.648) Epoch: [43][5400/11272] Time 0.837 (0.799) Data 0.001 (0.002) Loss 1.8831 (2.0562) Prec@1 50.625 (47.161) Prec@5 78.125 (77.649) Epoch: [43][5410/11272] Time 0.737 (0.799) Data 0.001 (0.002) Loss 1.8197 (2.0561) Prec@1 49.375 (47.164) Prec@5 81.250 (77.653) Epoch: [43][5420/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 2.2213 (2.0561) Prec@1 41.250 (47.161) Prec@5 72.500 (77.650) Epoch: [43][5430/11272] Time 0.835 (0.799) Data 0.001 (0.002) Loss 2.1862 (2.0564) Prec@1 45.000 (47.159) Prec@5 76.875 (77.646) Epoch: [43][5440/11272] Time 0.820 (0.799) Data 0.002 (0.002) Loss 1.9427 (2.0564) Prec@1 49.375 (47.158) Prec@5 78.125 (77.645) Epoch: [43][5450/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 2.1288 (2.0564) Prec@1 41.250 (47.158) Prec@5 76.250 (77.645) Epoch: [43][5460/11272] Time 0.734 (0.799) Data 0.001 (0.002) Loss 2.1392 (2.0563) Prec@1 47.500 (47.160) Prec@5 78.125 (77.646) Epoch: [43][5470/11272] Time 0.836 (0.799) Data 0.001 (0.002) Loss 2.1980 (2.0562) Prec@1 38.750 (47.161) Prec@5 74.375 (77.647) Epoch: [43][5480/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 2.0710 (2.0564) Prec@1 46.250 (47.159) Prec@5 73.750 (77.645) Epoch: [43][5490/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 2.1986 (2.0565) Prec@1 42.500 (47.156) Prec@5 73.750 (77.643) Epoch: [43][5500/11272] Time 0.722 (0.799) Data 0.001 (0.002) Loss 1.9662 (2.0565) Prec@1 45.000 (47.153) Prec@5 85.000 (77.642) Epoch: [43][5510/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 1.9990 (2.0564) Prec@1 47.500 (47.155) Prec@5 76.250 (77.644) Epoch: [43][5520/11272] Time 0.748 (0.798) Data 0.001 (0.002) Loss 2.1761 (2.0565) Prec@1 44.375 (47.157) Prec@5 75.625 (77.644) Epoch: [43][5530/11272] Time 0.722 (0.798) Data 0.001 (0.002) Loss 2.2723 (2.0566) Prec@1 42.500 (47.156) Prec@5 77.500 (77.640) Epoch: [43][5540/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 2.0627 (2.0566) Prec@1 48.750 (47.158) Prec@5 76.250 (77.640) Epoch: [43][5550/11272] Time 0.822 (0.798) Data 0.001 (0.002) Loss 2.2705 (2.0567) Prec@1 39.375 (47.158) Prec@5 75.625 (77.640) Epoch: [43][5560/11272] Time 0.780 (0.798) Data 0.002 (0.002) Loss 1.7758 (2.0567) Prec@1 51.250 (47.156) Prec@5 83.750 (77.640) Epoch: [43][5570/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 1.7109 (2.0566) Prec@1 56.250 (47.158) Prec@5 81.875 (77.642) Epoch: [43][5580/11272] Time 0.852 (0.798) Data 0.001 (0.002) Loss 2.0654 (2.0565) Prec@1 46.250 (47.161) Prec@5 76.875 (77.642) Epoch: [43][5590/11272] Time 0.813 (0.798) Data 0.001 (0.002) Loss 1.9771 (2.0564) Prec@1 47.500 (47.164) Prec@5 82.500 (77.645) Epoch: [43][5600/11272] Time 0.730 (0.798) Data 0.001 (0.002) Loss 2.2543 (2.0563) Prec@1 47.500 (47.166) Prec@5 74.375 (77.646) Epoch: [43][5610/11272] Time 0.740 (0.798) Data 0.001 (0.002) Loss 2.0107 (2.0564) Prec@1 47.500 (47.165) Prec@5 76.250 (77.645) Epoch: [43][5620/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 1.8476 (2.0564) Prec@1 55.625 (47.168) Prec@5 78.125 (77.645) Epoch: [43][5630/11272] Time 0.826 (0.798) Data 0.001 (0.002) Loss 2.0976 (2.0563) Prec@1 45.000 (47.167) Prec@5 77.500 (77.648) Epoch: [43][5640/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.8958 (2.0562) Prec@1 48.750 (47.171) Prec@5 78.750 (77.653) Epoch: [43][5650/11272] Time 0.846 (0.798) Data 0.001 (0.002) Loss 2.0926 (2.0562) Prec@1 43.125 (47.172) Prec@5 80.000 (77.653) Epoch: [43][5660/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 1.8854 (2.0562) Prec@1 51.875 (47.172) Prec@5 80.625 (77.654) Epoch: [43][5670/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 1.9860 (2.0561) Prec@1 50.625 (47.175) Prec@5 77.500 (77.656) Epoch: [43][5680/11272] Time 0.721 (0.798) Data 0.001 (0.002) Loss 2.0379 (2.0560) Prec@1 49.375 (47.174) Prec@5 75.625 (77.659) Epoch: [43][5690/11272] Time 0.840 (0.798) Data 0.001 (0.002) Loss 2.1820 (2.0560) Prec@1 40.625 (47.172) Prec@5 76.250 (77.660) Epoch: [43][5700/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 2.1432 (2.0561) Prec@1 41.250 (47.169) Prec@5 81.250 (77.658) Epoch: [43][5710/11272] Time 0.726 (0.798) Data 0.001 (0.002) Loss 2.0644 (2.0560) Prec@1 45.625 (47.169) Prec@5 75.000 (77.659) Epoch: [43][5720/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.3022 (2.0560) Prec@1 45.000 (47.168) Prec@5 73.125 (77.660) Epoch: [43][5730/11272] Time 0.878 (0.798) Data 0.001 (0.002) Loss 2.1844 (2.0561) Prec@1 41.250 (47.168) Prec@5 74.375 (77.660) Epoch: [43][5740/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.1270 (2.0560) Prec@1 43.750 (47.171) Prec@5 76.875 (77.660) Epoch: [43][5750/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 2.1024 (2.0562) Prec@1 45.625 (47.170) Prec@5 77.500 (77.657) Epoch: [43][5760/11272] Time 0.739 (0.798) Data 0.001 (0.002) Loss 1.9676 (2.0561) Prec@1 48.125 (47.169) Prec@5 79.375 (77.658) Epoch: [43][5770/11272] Time 0.818 (0.798) Data 0.001 (0.002) Loss 1.8430 (2.0560) Prec@1 56.250 (47.171) Prec@5 80.625 (77.661) Epoch: [43][5780/11272] Time 0.742 (0.798) Data 0.003 (0.002) Loss 2.0876 (2.0560) Prec@1 41.250 (47.169) Prec@5 76.250 (77.664) Epoch: [43][5790/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.2817 (2.0561) Prec@1 48.125 (47.169) Prec@5 73.750 (77.661) Epoch: [43][5800/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 2.0422 (2.0562) Prec@1 46.875 (47.167) Prec@5 76.250 (77.660) Epoch: [43][5810/11272] Time 0.823 (0.798) Data 0.001 (0.002) Loss 2.1387 (2.0564) Prec@1 48.125 (47.168) Prec@5 76.875 (77.656) Epoch: [43][5820/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.9004 (2.0563) Prec@1 49.375 (47.171) Prec@5 85.000 (77.658) Epoch: [43][5830/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.8488 (2.0563) Prec@1 49.375 (47.168) Prec@5 81.875 (77.659) Epoch: [43][5840/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 1.9391 (2.0562) Prec@1 49.375 (47.169) Prec@5 78.750 (77.659) Epoch: [43][5850/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 1.8958 (2.0562) Prec@1 51.250 (47.172) Prec@5 76.875 (77.660) Epoch: [43][5860/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.0287 (2.0563) Prec@1 48.125 (47.171) Prec@5 76.250 (77.658) Epoch: [43][5870/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.0078 (2.0564) Prec@1 49.375 (47.168) Prec@5 81.250 (77.655) Epoch: [43][5880/11272] Time 0.817 (0.798) Data 0.001 (0.002) Loss 2.2721 (2.0563) Prec@1 39.375 (47.168) Prec@5 75.625 (77.656) Epoch: [43][5890/11272] Time 0.826 (0.798) Data 0.001 (0.002) Loss 2.2057 (2.0564) Prec@1 40.625 (47.165) Prec@5 72.500 (77.653) Epoch: [43][5900/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.2488 (2.0565) Prec@1 39.375 (47.164) Prec@5 73.750 (77.651) Epoch: [43][5910/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 2.0504 (2.0566) Prec@1 43.125 (47.158) Prec@5 78.750 (77.650) Epoch: [43][5920/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.1019 (2.0566) Prec@1 45.625 (47.157) Prec@5 80.000 (77.651) Epoch: [43][5930/11272] Time 0.721 (0.798) Data 0.001 (0.002) Loss 1.9586 (2.0567) Prec@1 48.750 (47.157) Prec@5 79.375 (77.651) Epoch: [43][5940/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 2.0054 (2.0566) Prec@1 48.125 (47.153) Prec@5 78.750 (77.652) Epoch: [43][5950/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 2.2253 (2.0567) Prec@1 46.250 (47.154) Prec@5 73.125 (77.650) Epoch: [43][5960/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 2.2257 (2.0568) Prec@1 41.875 (47.154) Prec@5 76.250 (77.649) Epoch: [43][5970/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.1356 (2.0567) Prec@1 48.750 (47.154) Prec@5 77.500 (77.649) Epoch: [43][5980/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 2.4735 (2.0568) Prec@1 37.500 (47.154) Prec@5 69.375 (77.650) Epoch: [43][5990/11272] Time 0.824 (0.797) Data 0.001 (0.002) Loss 1.9865 (2.0567) Prec@1 45.625 (47.152) Prec@5 77.500 (77.653) Epoch: [43][6000/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 2.0716 (2.0567) Prec@1 49.375 (47.152) Prec@5 78.750 (77.654) Epoch: [43][6010/11272] Time 0.712 (0.797) Data 0.001 (0.002) Loss 1.9654 (2.0567) Prec@1 45.625 (47.150) Prec@5 80.000 (77.655) Epoch: [43][6020/11272] Time 0.722 (0.797) Data 0.001 (0.002) Loss 2.1526 (2.0567) Prec@1 43.125 (47.149) Prec@5 78.125 (77.656) Epoch: [43][6030/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.9761 (2.0567) Prec@1 51.875 (47.149) Prec@5 81.250 (77.656) Epoch: [43][6040/11272] Time 0.746 (0.797) Data 0.003 (0.002) Loss 1.9578 (2.0568) Prec@1 51.875 (47.146) Prec@5 75.000 (77.654) Epoch: [43][6050/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 2.0015 (2.0569) Prec@1 45.625 (47.145) Prec@5 78.750 (77.653) Epoch: [43][6060/11272] Time 0.887 (0.797) Data 0.002 (0.002) Loss 2.0552 (2.0568) Prec@1 46.875 (47.147) Prec@5 80.000 (77.654) Epoch: [43][6070/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9022 (2.0569) Prec@1 53.125 (47.146) Prec@5 78.750 (77.653) Epoch: [43][6080/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 1.9169 (2.0569) Prec@1 47.500 (47.145) Prec@5 81.250 (77.653) Epoch: [43][6090/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.1209 (2.0569) Prec@1 48.125 (47.142) Prec@5 75.000 (77.653) Epoch: [43][6100/11272] Time 0.913 (0.797) Data 0.001 (0.002) Loss 2.0452 (2.0569) Prec@1 48.125 (47.142) Prec@5 71.875 (77.651) Epoch: [43][6110/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 2.1493 (2.0569) Prec@1 45.000 (47.142) Prec@5 80.000 (77.654) Epoch: [43][6120/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.7160 (2.0569) Prec@1 51.250 (47.143) Prec@5 83.125 (77.654) Epoch: [43][6130/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.1364 (2.0569) Prec@1 47.500 (47.143) Prec@5 75.000 (77.653) Epoch: [43][6140/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.1834 (2.0569) Prec@1 41.250 (47.141) Prec@5 74.375 (77.652) Epoch: [43][6150/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.0358 (2.0569) Prec@1 46.875 (47.143) Prec@5 80.625 (77.651) Epoch: [43][6160/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0668 (2.0569) Prec@1 45.000 (47.142) Prec@5 74.375 (77.651) Epoch: [43][6170/11272] Time 0.795 (0.797) Data 0.001 (0.002) Loss 1.8905 (2.0568) Prec@1 53.750 (47.144) Prec@5 81.875 (77.655) Epoch: [43][6180/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.0381 (2.0569) Prec@1 47.500 (47.142) Prec@5 80.000 (77.652) Epoch: [43][6190/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.0357 (2.0569) Prec@1 43.750 (47.142) Prec@5 78.750 (77.654) Epoch: [43][6200/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.2854 (2.0570) Prec@1 41.250 (47.141) Prec@5 74.375 (77.651) Epoch: [43][6210/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 2.0581 (2.0569) Prec@1 43.750 (47.142) Prec@5 80.625 (77.655) Epoch: [43][6220/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 2.1675 (2.0570) Prec@1 46.875 (47.142) Prec@5 75.625 (77.656) Epoch: [43][6230/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 1.7904 (2.0569) Prec@1 55.000 (47.142) Prec@5 79.375 (77.656) Epoch: [43][6240/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.7688 (2.0569) Prec@1 53.125 (47.143) Prec@5 81.875 (77.655) Epoch: [43][6250/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 1.9246 (2.0568) Prec@1 48.125 (47.144) Prec@5 78.750 (77.655) Epoch: [43][6260/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 1.9975 (2.0569) Prec@1 48.125 (47.144) Prec@5 81.250 (77.655) Epoch: [43][6270/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.1513 (2.0570) Prec@1 49.375 (47.143) Prec@5 74.375 (77.651) Epoch: [43][6280/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.2467 (2.0570) Prec@1 41.250 (47.143) Prec@5 76.250 (77.652) Epoch: [43][6290/11272] Time 0.858 (0.797) Data 0.001 (0.002) Loss 2.0059 (2.0571) Prec@1 48.125 (47.142) Prec@5 80.000 (77.651) Epoch: [43][6300/11272] Time 0.800 (0.797) Data 0.002 (0.002) Loss 1.7032 (2.0570) Prec@1 53.125 (47.146) Prec@5 88.750 (77.653) Epoch: [43][6310/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.3110 (2.0571) Prec@1 41.875 (47.144) Prec@5 70.625 (77.648) Epoch: [43][6320/11272] Time 0.882 (0.797) Data 0.001 (0.002) Loss 2.3107 (2.0571) Prec@1 42.500 (47.143) Prec@5 71.875 (77.648) Epoch: [43][6330/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.0241 (2.0572) Prec@1 46.875 (47.139) Prec@5 77.500 (77.646) Epoch: [43][6340/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 2.1178 (2.0573) Prec@1 48.750 (47.140) Prec@5 75.625 (77.643) Epoch: [43][6350/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.9572 (2.0572) Prec@1 48.750 (47.141) Prec@5 80.000 (77.643) Epoch: [43][6360/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 2.1174 (2.0572) Prec@1 45.625 (47.143) Prec@5 78.750 (77.644) Epoch: [43][6370/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.2482 (2.0572) Prec@1 38.750 (47.140) Prec@5 76.875 (77.643) Epoch: [43][6380/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 1.8777 (2.0572) Prec@1 53.750 (47.143) Prec@5 78.125 (77.641) Epoch: [43][6390/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.8402 (2.0571) Prec@1 52.500 (47.142) Prec@5 80.000 (77.643) Epoch: [43][6400/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 2.1048 (2.0572) Prec@1 43.125 (47.139) Prec@5 76.875 (77.643) Epoch: [43][6410/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 1.9302 (2.0573) Prec@1 46.875 (47.137) Prec@5 81.875 (77.642) Epoch: [43][6420/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.3385 (2.0574) Prec@1 43.125 (47.135) Prec@5 70.625 (77.640) Epoch: [43][6430/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 2.1631 (2.0574) Prec@1 43.750 (47.135) Prec@5 79.375 (77.641) Epoch: [43][6440/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.1587 (2.0575) Prec@1 44.375 (47.135) Prec@5 73.125 (77.641) Epoch: [43][6450/11272] Time 0.706 (0.797) Data 0.001 (0.002) Loss 2.1808 (2.0575) Prec@1 43.125 (47.134) Prec@5 76.875 (77.640) Epoch: [43][6460/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.3375 (2.0575) Prec@1 41.875 (47.135) Prec@5 73.750 (77.639) Epoch: [43][6470/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.8780 (2.0575) Prec@1 49.375 (47.135) Prec@5 81.250 (77.640) Epoch: [43][6480/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 1.8582 (2.0573) Prec@1 51.250 (47.137) Prec@5 80.000 (77.644) Epoch: [43][6490/11272] Time 0.720 (0.797) Data 0.002 (0.002) Loss 2.1692 (2.0574) Prec@1 47.500 (47.135) Prec@5 76.250 (77.645) Epoch: [43][6500/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.2548 (2.0573) Prec@1 42.500 (47.138) Prec@5 74.375 (77.646) Epoch: [43][6510/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.8937 (2.0573) Prec@1 48.125 (47.137) Prec@5 80.000 (77.648) Epoch: [43][6520/11272] Time 0.829 (0.796) Data 0.001 (0.002) Loss 2.1106 (2.0573) Prec@1 39.375 (47.136) Prec@5 78.750 (77.649) Epoch: [43][6530/11272] Time 0.729 (0.796) Data 0.001 (0.002) Loss 2.2238 (2.0573) Prec@1 41.250 (47.137) Prec@5 73.125 (77.649) Epoch: [43][6540/11272] Time 0.749 (0.796) Data 0.001 (0.002) Loss 2.3010 (2.0573) Prec@1 41.250 (47.135) Prec@5 73.750 (77.649) Epoch: [43][6550/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 2.1146 (2.0573) Prec@1 42.500 (47.133) Prec@5 75.625 (77.647) Epoch: [43][6560/11272] Time 0.817 (0.796) Data 0.001 (0.002) Loss 2.1768 (2.0573) Prec@1 51.250 (47.132) Prec@5 76.875 (77.647) Epoch: [43][6570/11272] Time 0.737 (0.796) Data 0.001 (0.002) Loss 2.0810 (2.0572) Prec@1 44.375 (47.135) Prec@5 80.625 (77.648) Epoch: [43][6580/11272] Time 0.856 (0.796) Data 0.001 (0.002) Loss 2.0533 (2.0572) Prec@1 43.750 (47.136) Prec@5 82.500 (77.651) Epoch: [43][6590/11272] Time 0.829 (0.796) Data 0.001 (0.002) Loss 1.8588 (2.0571) Prec@1 55.625 (47.140) Prec@5 79.375 (77.653) Epoch: [43][6600/11272] Time 0.738 (0.796) Data 0.001 (0.002) Loss 2.0701 (2.0571) Prec@1 43.750 (47.139) Prec@5 78.125 (77.652) Epoch: [43][6610/11272] Time 0.717 (0.796) Data 0.002 (0.002) Loss 2.2602 (2.0572) Prec@1 43.750 (47.138) Prec@5 73.125 (77.651) Epoch: [43][6620/11272] Time 0.844 (0.796) Data 0.001 (0.002) Loss 2.3476 (2.0574) Prec@1 39.375 (47.133) Prec@5 78.125 (77.648) Epoch: [43][6630/11272] Time 0.819 (0.796) Data 0.001 (0.002) Loss 2.2281 (2.0574) Prec@1 43.125 (47.135) Prec@5 74.375 (77.647) Epoch: [43][6640/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 2.0961 (2.0574) Prec@1 45.000 (47.135) Prec@5 76.875 (77.647) Epoch: [43][6650/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 1.9143 (2.0574) Prec@1 46.875 (47.132) Prec@5 80.625 (77.647) Epoch: [43][6660/11272] Time 0.871 (0.796) Data 0.001 (0.002) Loss 2.0597 (2.0575) Prec@1 48.750 (47.131) Prec@5 78.750 (77.646) Epoch: [43][6670/11272] Time 0.815 (0.796) Data 0.001 (0.002) Loss 1.8426 (2.0574) Prec@1 53.750 (47.131) Prec@5 80.625 (77.646) Epoch: [43][6680/11272] Time 0.721 (0.796) Data 0.001 (0.002) Loss 1.9964 (2.0575) Prec@1 48.125 (47.132) Prec@5 79.375 (77.646) Epoch: [43][6690/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 2.2658 (2.0575) Prec@1 38.125 (47.130) Prec@5 78.125 (77.645) Epoch: [43][6700/11272] Time 0.843 (0.796) Data 0.001 (0.002) Loss 2.0946 (2.0576) Prec@1 47.500 (47.130) Prec@5 76.250 (77.642) Epoch: [43][6710/11272] Time 0.723 (0.796) Data 0.003 (0.002) Loss 2.0413 (2.0576) Prec@1 48.125 (47.128) Prec@5 75.000 (77.641) Epoch: [43][6720/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 2.2695 (2.0577) Prec@1 44.375 (47.129) Prec@5 73.750 (77.640) Epoch: [43][6730/11272] Time 0.829 (0.796) Data 0.001 (0.002) Loss 2.1352 (2.0577) Prec@1 50.000 (47.129) Prec@5 75.000 (77.638) Epoch: [43][6740/11272] Time 0.821 (0.796) Data 0.002 (0.002) Loss 2.2974 (2.0579) Prec@1 41.250 (47.127) Prec@5 71.875 (77.634) Epoch: [43][6750/11272] Time 0.737 (0.796) Data 0.001 (0.002) Loss 2.1104 (2.0579) Prec@1 43.750 (47.126) Prec@5 76.250 (77.635) Epoch: [43][6760/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 2.0036 (2.0579) Prec@1 50.000 (47.126) Prec@5 80.625 (77.636) Epoch: [43][6770/11272] Time 0.851 (0.796) Data 0.001 (0.002) Loss 2.2763 (2.0580) Prec@1 39.375 (47.124) Prec@5 73.125 (77.633) Epoch: [43][6780/11272] Time 0.844 (0.796) Data 0.001 (0.002) Loss 1.8529 (2.0579) Prec@1 53.125 (47.127) Prec@5 81.250 (77.634) Epoch: [43][6790/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 2.2695 (2.0580) Prec@1 42.500 (47.124) Prec@5 70.000 (77.633) Epoch: [43][6800/11272] Time 0.742 (0.796) Data 0.002 (0.002) Loss 2.0882 (2.0581) Prec@1 45.625 (47.122) Prec@5 78.750 (77.633) Epoch: [43][6810/11272] Time 0.862 (0.796) Data 0.001 (0.002) Loss 2.2879 (2.0581) Prec@1 45.000 (47.122) Prec@5 73.125 (77.632) Epoch: [43][6820/11272] Time 0.817 (0.796) Data 0.001 (0.002) Loss 2.1232 (2.0582) Prec@1 45.625 (47.122) Prec@5 78.125 (77.629) Epoch: [43][6830/11272] Time 0.728 (0.796) Data 0.001 (0.002) Loss 1.7332 (2.0582) Prec@1 53.125 (47.122) Prec@5 86.875 (77.630) Epoch: [43][6840/11272] Time 0.871 (0.796) Data 0.001 (0.002) Loss 1.9988 (2.0583) Prec@1 46.250 (47.120) Prec@5 79.375 (77.630) Epoch: [43][6850/11272] Time 0.819 (0.796) Data 0.001 (0.002) Loss 1.8757 (2.0582) Prec@1 50.625 (47.121) Prec@5 81.875 (77.630) Epoch: [43][6860/11272] Time 0.752 (0.796) Data 0.002 (0.002) Loss 1.9211 (2.0582) Prec@1 46.250 (47.122) Prec@5 79.375 (77.632) Epoch: [43][6870/11272] Time 0.736 (0.796) Data 0.001 (0.002) Loss 2.2057 (2.0582) Prec@1 47.500 (47.122) Prec@5 73.125 (77.631) Epoch: [43][6880/11272] Time 0.863 (0.796) Data 0.001 (0.002) Loss 2.4181 (2.0582) Prec@1 38.750 (47.121) Prec@5 71.875 (77.630) Epoch: [43][6890/11272] Time 0.809 (0.796) Data 0.001 (0.002) Loss 2.0617 (2.0582) Prec@1 47.500 (47.118) Prec@5 78.125 (77.629) Epoch: [43][6900/11272] Time 0.770 (0.796) Data 0.001 (0.002) Loss 2.2982 (2.0584) Prec@1 43.750 (47.115) Prec@5 72.500 (77.627) Epoch: [43][6910/11272] Time 0.719 (0.796) Data 0.001 (0.002) Loss 2.0991 (2.0584) Prec@1 45.625 (47.115) Prec@5 75.625 (77.627) Epoch: [43][6920/11272] Time 0.860 (0.796) Data 0.001 (0.002) Loss 1.9301 (2.0584) Prec@1 50.625 (47.114) Prec@5 78.750 (77.626) Epoch: [43][6930/11272] Time 0.837 (0.796) Data 0.001 (0.002) Loss 1.9305 (2.0584) Prec@1 55.625 (47.114) Prec@5 81.875 (77.625) Epoch: [43][6940/11272] Time 0.718 (0.796) Data 0.001 (0.002) Loss 2.0465 (2.0585) Prec@1 42.500 (47.113) Prec@5 78.125 (77.626) Epoch: [43][6950/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 2.1751 (2.0587) Prec@1 44.375 (47.108) Prec@5 71.875 (77.621) Epoch: [43][6960/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 2.0723 (2.0588) Prec@1 44.375 (47.106) Prec@5 76.250 (77.619) Epoch: [43][6970/11272] Time 0.730 (0.796) Data 0.003 (0.002) Loss 1.8284 (2.0588) Prec@1 55.625 (47.106) Prec@5 84.375 (77.620) Epoch: [43][6980/11272] Time 0.722 (0.796) Data 0.001 (0.002) Loss 1.9712 (2.0588) Prec@1 46.875 (47.106) Prec@5 76.250 (77.619) Epoch: [43][6990/11272] Time 0.838 (0.796) Data 0.001 (0.002) Loss 2.0429 (2.0587) Prec@1 48.750 (47.106) Prec@5 79.375 (77.620) Epoch: [43][7000/11272] Time 0.802 (0.796) Data 0.001 (0.002) Loss 1.9065 (2.0587) Prec@1 53.750 (47.107) Prec@5 77.500 (77.621) Epoch: [43][7010/11272] Time 0.727 (0.796) Data 0.001 (0.002) Loss 1.7617 (2.0586) Prec@1 55.000 (47.109) Prec@5 81.875 (77.622) Epoch: [43][7020/11272] Time 0.777 (0.796) Data 0.001 (0.002) Loss 2.0043 (2.0585) Prec@1 47.500 (47.109) Prec@5 77.500 (77.624) Epoch: [43][7030/11272] Time 0.836 (0.796) Data 0.001 (0.002) Loss 1.8700 (2.0586) Prec@1 48.125 (47.108) Prec@5 80.000 (77.625) Epoch: [43][7040/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 2.1374 (2.0587) Prec@1 52.500 (47.106) Prec@5 77.500 (77.624) Epoch: [43][7050/11272] Time 0.711 (0.796) Data 0.001 (0.002) Loss 1.9972 (2.0586) Prec@1 45.625 (47.104) Prec@5 79.375 (77.625) Epoch: [43][7060/11272] Time 0.728 (0.796) Data 0.002 (0.002) Loss 1.9885 (2.0587) Prec@1 44.375 (47.101) Prec@5 79.375 (77.623) Epoch: [43][7070/11272] Time 0.834 (0.796) Data 0.001 (0.002) Loss 2.0818 (2.0588) Prec@1 50.000 (47.103) Prec@5 76.875 (77.620) Epoch: [43][7080/11272] Time 0.841 (0.796) Data 0.001 (0.002) Loss 2.1352 (2.0588) Prec@1 41.875 (47.102) Prec@5 75.625 (77.622) Epoch: [43][7090/11272] Time 0.720 (0.796) Data 0.001 (0.002) Loss 2.0123 (2.0587) Prec@1 49.375 (47.104) Prec@5 79.375 (77.623) Epoch: [43][7100/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 1.8270 (2.0588) Prec@1 50.000 (47.103) Prec@5 80.000 (77.621) Epoch: [43][7110/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 2.1243 (2.0588) Prec@1 47.500 (47.102) Prec@5 76.250 (77.620) Epoch: [43][7120/11272] Time 0.743 (0.796) Data 0.001 (0.002) Loss 1.9282 (2.0588) Prec@1 47.500 (47.100) Prec@5 77.500 (77.621) Epoch: [43][7130/11272] Time 0.722 (0.796) Data 0.001 (0.002) Loss 2.2977 (2.0589) Prec@1 38.750 (47.098) Prec@5 73.125 (77.620) Epoch: [43][7140/11272] Time 0.850 (0.796) Data 0.002 (0.002) Loss 2.0249 (2.0588) Prec@1 45.000 (47.100) Prec@5 77.500 (77.621) Epoch: [43][7150/11272] Time 0.861 (0.796) Data 0.001 (0.002) Loss 2.1848 (2.0588) Prec@1 42.500 (47.100) Prec@5 73.750 (77.620) Epoch: [43][7160/11272] Time 0.718 (0.796) Data 0.001 (0.002) Loss 2.0509 (2.0590) Prec@1 44.375 (47.097) Prec@5 78.750 (77.617) Epoch: [43][7170/11272] Time 0.707 (0.796) Data 0.001 (0.002) Loss 2.3210 (2.0590) Prec@1 44.375 (47.097) Prec@5 71.250 (77.618) Epoch: [43][7180/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 2.1401 (2.0590) Prec@1 43.750 (47.097) Prec@5 73.125 (77.617) Epoch: [43][7190/11272] Time 0.836 (0.796) Data 0.001 (0.002) Loss 1.9414 (2.0589) Prec@1 52.500 (47.098) Prec@5 79.375 (77.618) Epoch: [43][7200/11272] Time 0.729 (0.796) Data 0.001 (0.002) Loss 2.2743 (2.0590) Prec@1 48.750 (47.097) Prec@5 75.625 (77.618) Epoch: [43][7210/11272] Time 0.700 (0.796) Data 0.001 (0.002) Loss 1.8869 (2.0590) Prec@1 48.750 (47.096) Prec@5 83.125 (77.615) Epoch: [43][7220/11272] Time 0.847 (0.796) Data 0.001 (0.002) Loss 2.1507 (2.0590) Prec@1 45.625 (47.096) Prec@5 72.500 (77.614) Epoch: [43][7230/11272] Time 0.821 (0.796) Data 0.001 (0.002) Loss 1.8506 (2.0592) Prec@1 52.500 (47.097) Prec@5 80.625 (77.612) Epoch: [43][7240/11272] Time 0.709 (0.796) Data 0.001 (0.002) Loss 1.9864 (2.0592) Prec@1 52.500 (47.097) Prec@5 73.750 (77.612) Epoch: [43][7250/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 2.2195 (2.0592) Prec@1 41.875 (47.096) Prec@5 75.625 (77.610) Epoch: [43][7260/11272] Time 0.844 (0.796) Data 0.001 (0.002) Loss 1.9047 (2.0593) Prec@1 51.250 (47.094) Prec@5 80.000 (77.608) Epoch: [43][7270/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.7784 (2.0593) Prec@1 50.000 (47.095) Prec@5 80.625 (77.607) Epoch: [43][7280/11272] Time 0.760 (0.795) Data 0.002 (0.002) Loss 2.0676 (2.0593) Prec@1 51.875 (47.096) Prec@5 78.125 (77.608) Epoch: [43][7290/11272] Time 0.862 (0.795) Data 0.001 (0.002) Loss 1.9655 (2.0593) Prec@1 49.375 (47.098) Prec@5 77.500 (77.608) Epoch: [43][7300/11272] Time 0.866 (0.795) Data 0.002 (0.002) Loss 2.2731 (2.0594) Prec@1 40.000 (47.095) Prec@5 76.875 (77.606) Epoch: [43][7310/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.3548 (2.0595) Prec@1 44.375 (47.092) Prec@5 71.250 (77.604) Epoch: [43][7320/11272] Time 0.717 (0.795) Data 0.001 (0.002) Loss 1.9150 (2.0595) Prec@1 50.000 (47.092) Prec@5 79.375 (77.606) Epoch: [43][7330/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.9629 (2.0594) Prec@1 47.500 (47.091) Prec@5 78.125 (77.607) Epoch: [43][7340/11272] Time 0.817 (0.795) Data 0.001 (0.002) Loss 1.9944 (2.0595) Prec@1 48.125 (47.090) Prec@5 76.875 (77.605) Epoch: [43][7350/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0622 (2.0595) Prec@1 48.750 (47.090) Prec@5 78.750 (77.605) Epoch: [43][7360/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.9415 (2.0595) Prec@1 45.000 (47.090) Prec@5 78.750 (77.606) Epoch: [43][7370/11272] Time 0.815 (0.795) Data 0.001 (0.002) Loss 2.0419 (2.0596) Prec@1 48.125 (47.088) Prec@5 76.875 (77.604) Epoch: [43][7380/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 2.0577 (2.0596) Prec@1 48.125 (47.090) Prec@5 77.500 (77.604) Epoch: [43][7390/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.2384 (2.0595) Prec@1 43.125 (47.092) Prec@5 74.375 (77.605) Epoch: [43][7400/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.0950 (2.0595) Prec@1 51.250 (47.091) Prec@5 73.125 (77.604) Epoch: [43][7410/11272] Time 0.796 (0.795) Data 0.001 (0.002) Loss 2.3526 (2.0596) Prec@1 41.250 (47.088) Prec@5 74.375 (77.604) Epoch: [43][7420/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 1.8755 (2.0594) Prec@1 48.750 (47.093) Prec@5 83.125 (77.608) Epoch: [43][7430/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.8180 (2.0594) Prec@1 50.625 (47.093) Prec@5 83.750 (77.608) Epoch: [43][7440/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.8746 (2.0594) Prec@1 49.375 (47.091) Prec@5 83.125 (77.609) Epoch: [43][7450/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.9262 (2.0594) Prec@1 48.125 (47.092) Prec@5 77.500 (77.610) Epoch: [43][7460/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.1729 (2.0593) Prec@1 46.875 (47.094) Prec@5 75.000 (77.612) Epoch: [43][7470/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.0670 (2.0593) Prec@1 47.500 (47.091) Prec@5 74.375 (77.611) Epoch: [43][7480/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.0627 (2.0594) Prec@1 41.250 (47.088) Prec@5 82.500 (77.611) Epoch: [43][7490/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.0916 (2.0594) Prec@1 43.125 (47.086) Prec@5 77.500 (77.608) Epoch: [43][7500/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.8476 (2.0594) Prec@1 45.625 (47.085) Prec@5 83.750 (77.607) Epoch: [43][7510/11272] Time 0.766 (0.795) Data 0.001 (0.002) Loss 2.3193 (2.0594) Prec@1 43.750 (47.084) Prec@5 71.875 (77.607) Epoch: [43][7520/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.1874 (2.0595) Prec@1 41.875 (47.083) Prec@5 74.375 (77.606) Epoch: [43][7530/11272] Time 0.711 (0.795) Data 0.001 (0.002) Loss 2.2212 (2.0595) Prec@1 46.250 (47.082) Prec@5 74.375 (77.608) Epoch: [43][7540/11272] Time 0.772 (0.795) Data 0.001 (0.002) Loss 2.1266 (2.0595) Prec@1 45.000 (47.081) Prec@5 72.500 (77.607) Epoch: [43][7550/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.1621 (2.0595) Prec@1 46.250 (47.079) Prec@5 73.125 (77.608) Epoch: [43][7560/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 2.0114 (2.0595) Prec@1 46.875 (47.079) Prec@5 78.125 (77.606) Epoch: [43][7570/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 2.0788 (2.0595) Prec@1 46.250 (47.079) Prec@5 78.750 (77.607) Epoch: [43][7580/11272] Time 0.746 (0.795) Data 0.001 (0.002) Loss 1.8279 (2.0596) Prec@1 56.250 (47.077) Prec@5 83.125 (77.606) Epoch: [43][7590/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 2.1103 (2.0597) Prec@1 46.250 (47.076) Prec@5 76.875 (77.605) Epoch: [43][7600/11272] Time 0.852 (0.795) Data 0.001 (0.002) Loss 1.9356 (2.0597) Prec@1 48.125 (47.077) Prec@5 81.875 (77.606) Epoch: [43][7610/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 1.9006 (2.0597) Prec@1 50.000 (47.078) Prec@5 81.875 (77.607) Epoch: [43][7620/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.1874 (2.0597) Prec@1 45.625 (47.080) Prec@5 74.375 (77.608) Epoch: [43][7630/11272] Time 0.827 (0.795) Data 0.002 (0.002) Loss 2.1536 (2.0598) Prec@1 43.125 (47.076) Prec@5 73.125 (77.605) Epoch: [43][7640/11272] Time 0.735 (0.795) Data 0.004 (0.002) Loss 1.6764 (2.0598) Prec@1 53.750 (47.076) Prec@5 85.000 (77.605) Epoch: [43][7650/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 2.0071 (2.0597) Prec@1 48.750 (47.078) Prec@5 78.125 (77.606) Epoch: [43][7660/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 2.2669 (2.0598) Prec@1 44.375 (47.077) Prec@5 73.125 (77.605) Epoch: [43][7670/11272] Time 0.835 (0.795) Data 0.002 (0.002) Loss 2.1179 (2.0598) Prec@1 43.750 (47.077) Prec@5 78.750 (77.607) Epoch: [43][7680/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 2.0786 (2.0598) Prec@1 48.125 (47.075) Prec@5 71.250 (77.607) Epoch: [43][7690/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.2616 (2.0598) Prec@1 44.375 (47.075) Prec@5 72.500 (77.606) Epoch: [43][7700/11272] Time 0.876 (0.795) Data 0.002 (0.002) Loss 1.8029 (2.0599) Prec@1 51.250 (47.073) Prec@5 84.375 (77.606) Epoch: [43][7710/11272] Time 0.815 (0.795) Data 0.001 (0.002) Loss 1.8226 (2.0598) Prec@1 50.000 (47.074) Prec@5 80.625 (77.606) Epoch: [43][7720/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.2409 (2.0599) Prec@1 43.750 (47.069) Prec@5 72.500 (77.604) Epoch: [43][7730/11272] Time 0.738 (0.795) Data 0.001 (0.002) Loss 2.0816 (2.0600) Prec@1 43.750 (47.066) Prec@5 76.875 (77.601) Epoch: [43][7740/11272] Time 0.921 (0.795) Data 0.001 (0.002) Loss 2.1245 (2.0600) Prec@1 43.750 (47.067) Prec@5 75.625 (77.602) Epoch: [43][7750/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.1374 (2.0599) Prec@1 45.000 (47.070) Prec@5 74.375 (77.603) Epoch: [43][7760/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 2.0390 (2.0599) Prec@1 47.500 (47.070) Prec@5 76.250 (77.603) Epoch: [43][7770/11272] Time 0.809 (0.795) Data 0.001 (0.002) Loss 2.2167 (2.0598) Prec@1 43.125 (47.071) Prec@5 78.125 (77.605) Epoch: [43][7780/11272] Time 0.858 (0.795) Data 0.002 (0.002) Loss 2.0241 (2.0599) Prec@1 48.750 (47.068) Prec@5 75.625 (77.602) Epoch: [43][7790/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 1.9322 (2.0599) Prec@1 54.375 (47.066) Prec@5 76.250 (77.602) Epoch: [43][7800/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 1.6513 (2.0600) Prec@1 55.000 (47.066) Prec@5 86.875 (77.599) Epoch: [43][7810/11272] Time 0.861 (0.795) Data 0.001 (0.002) Loss 1.8868 (2.0600) Prec@1 48.750 (47.066) Prec@5 82.500 (77.601) Epoch: [43][7820/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 2.1236 (2.0601) Prec@1 43.750 (47.063) Prec@5 74.375 (77.597) Epoch: [43][7830/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0439 (2.0602) Prec@1 46.250 (47.062) Prec@5 80.625 (77.596) Epoch: [43][7840/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 2.0261 (2.0601) Prec@1 46.875 (47.064) Prec@5 81.250 (77.598) Epoch: [43][7850/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 2.1956 (2.0600) Prec@1 46.250 (47.066) Prec@5 73.750 (77.599) Epoch: [43][7860/11272] Time 0.815 (0.795) Data 0.001 (0.002) Loss 2.0365 (2.0600) Prec@1 45.000 (47.065) Prec@5 78.125 (77.598) Epoch: [43][7870/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.3123 (2.0600) Prec@1 42.500 (47.065) Prec@5 71.875 (77.599) Epoch: [43][7880/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.0212 (2.0601) Prec@1 49.375 (47.062) Prec@5 76.875 (77.596) Epoch: [43][7890/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.0643 (2.0601) Prec@1 48.750 (47.062) Prec@5 77.500 (77.598) Epoch: [43][7900/11272] Time 0.745 (0.795) Data 0.004 (0.002) Loss 2.2796 (2.0601) Prec@1 42.500 (47.062) Prec@5 68.750 (77.596) Epoch: [43][7910/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.0930 (2.0602) Prec@1 52.500 (47.062) Prec@5 77.500 (77.596) Epoch: [43][7920/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 2.1276 (2.0601) Prec@1 41.250 (47.065) Prec@5 73.125 (77.596) Epoch: [43][7930/11272] Time 0.821 (0.795) Data 0.002 (0.002) Loss 2.2350 (2.0602) Prec@1 52.500 (47.066) Prec@5 72.500 (77.594) Epoch: [43][7940/11272] Time 0.713 (0.795) Data 0.002 (0.002) Loss 2.0447 (2.0602) Prec@1 46.250 (47.063) Prec@5 73.750 (77.592) Epoch: [43][7950/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.2703 (2.0603) Prec@1 43.750 (47.063) Prec@5 71.875 (77.590) Epoch: [43][7960/11272] Time 0.908 (0.795) Data 0.002 (0.002) Loss 2.1165 (2.0603) Prec@1 48.125 (47.062) Prec@5 77.500 (77.590) Epoch: [43][7970/11272] Time 0.818 (0.795) Data 0.001 (0.002) Loss 2.0252 (2.0603) Prec@1 49.375 (47.061) Prec@5 78.125 (77.590) Epoch: [43][7980/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 1.9062 (2.0602) Prec@1 51.250 (47.063) Prec@5 80.625 (77.590) Epoch: [43][7990/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 2.3368 (2.0603) Prec@1 38.125 (47.060) Prec@5 73.750 (77.588) Epoch: [43][8000/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 1.9353 (2.0602) Prec@1 48.125 (47.061) Prec@5 81.875 (77.589) Epoch: [43][8010/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.8298 (2.0602) Prec@1 46.250 (47.062) Prec@5 82.500 (77.588) Epoch: [43][8020/11272] Time 0.744 (0.795) Data 0.001 (0.002) Loss 2.1320 (2.0601) Prec@1 44.375 (47.063) Prec@5 76.875 (77.590) Epoch: [43][8030/11272] Time 0.821 (0.795) Data 0.001 (0.002) Loss 2.0071 (2.0602) Prec@1 48.750 (47.061) Prec@5 76.250 (77.589) Epoch: [43][8040/11272] Time 0.850 (0.795) Data 0.001 (0.002) Loss 2.2054 (2.0602) Prec@1 48.750 (47.060) Prec@5 70.625 (77.588) Epoch: [43][8050/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.9484 (2.0602) Prec@1 50.625 (47.060) Prec@5 80.000 (77.589) Epoch: [43][8060/11272] Time 0.769 (0.795) Data 0.001 (0.002) Loss 2.2698 (2.0603) Prec@1 45.625 (47.059) Prec@5 73.750 (77.588) Epoch: [43][8070/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.1234 (2.0603) Prec@1 50.000 (47.059) Prec@5 78.125 (77.588) Epoch: [43][8080/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 2.2741 (2.0603) Prec@1 40.625 (47.060) Prec@5 73.125 (77.589) Epoch: [43][8090/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.3052 (2.0605) Prec@1 38.750 (47.057) Prec@5 75.000 (77.586) Epoch: [43][8100/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 2.0298 (2.0604) Prec@1 48.750 (47.057) Prec@5 75.625 (77.585) Epoch: [43][8110/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 2.0545 (2.0605) Prec@1 43.125 (47.056) Prec@5 81.875 (77.585) Epoch: [43][8120/11272] Time 0.820 (0.795) Data 0.002 (0.002) Loss 2.1951 (2.0604) Prec@1 47.500 (47.056) Prec@5 72.500 (77.585) Epoch: [43][8130/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.9974 (2.0604) Prec@1 48.125 (47.057) Prec@5 80.625 (77.586) Epoch: [43][8140/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.2281 (2.0605) Prec@1 40.625 (47.055) Prec@5 74.375 (77.584) Epoch: [43][8150/11272] Time 0.871 (0.795) Data 0.001 (0.002) Loss 2.0093 (2.0604) Prec@1 47.500 (47.056) Prec@5 78.750 (77.585) Epoch: [43][8160/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 2.0207 (2.0604) Prec@1 46.875 (47.058) Prec@5 78.125 (77.585) Epoch: [43][8170/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.9281 (2.0604) Prec@1 47.500 (47.058) Prec@5 79.375 (77.585) Epoch: [43][8180/11272] Time 0.898 (0.794) Data 0.001 (0.002) Loss 1.9335 (2.0604) Prec@1 48.750 (47.060) Prec@5 81.875 (77.584) Epoch: [43][8190/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.4144 (2.0604) Prec@1 41.875 (47.060) Prec@5 75.625 (77.584) Epoch: [43][8200/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 2.2356 (2.0605) Prec@1 43.125 (47.058) Prec@5 74.375 (77.581) Epoch: [43][8210/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0846 (2.0605) Prec@1 45.000 (47.059) Prec@5 74.375 (77.580) Epoch: [43][8220/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 2.2319 (2.0605) Prec@1 45.625 (47.058) Prec@5 75.625 (77.580) Epoch: [43][8230/11272] Time 0.883 (0.795) Data 0.001 (0.002) Loss 2.0398 (2.0605) Prec@1 46.875 (47.059) Prec@5 80.000 (77.581) Epoch: [43][8240/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 1.9932 (2.0606) Prec@1 51.250 (47.059) Prec@5 78.125 (77.577) Epoch: [43][8250/11272] Time 0.753 (0.795) Data 0.001 (0.002) Loss 2.2183 (2.0606) Prec@1 41.250 (47.059) Prec@5 76.250 (77.578) Epoch: [43][8260/11272] Time 0.881 (0.795) Data 0.001 (0.002) Loss 2.1011 (2.0606) Prec@1 41.250 (47.058) Prec@5 81.875 (77.579) Epoch: [43][8270/11272] Time 0.813 (0.795) Data 0.001 (0.002) Loss 2.1215 (2.0606) Prec@1 45.000 (47.060) Prec@5 74.375 (77.579) Epoch: [43][8280/11272] Time 0.770 (0.795) Data 0.002 (0.002) Loss 2.3012 (2.0607) Prec@1 46.250 (47.059) Prec@5 75.625 (77.578) Epoch: [43][8290/11272] Time 0.880 (0.795) Data 0.001 (0.002) Loss 2.0843 (2.0607) Prec@1 42.500 (47.060) Prec@5 76.250 (77.579) Epoch: [43][8300/11272] Time 0.806 (0.795) Data 0.001 (0.002) Loss 1.9181 (2.0608) Prec@1 51.250 (47.059) Prec@5 78.750 (77.578) Epoch: [43][8310/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 2.1107 (2.0608) Prec@1 48.125 (47.060) Prec@5 76.250 (77.578) Epoch: [43][8320/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 2.0475 (2.0608) Prec@1 46.250 (47.059) Prec@5 77.500 (77.576) Epoch: [43][8330/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 1.9879 (2.0608) Prec@1 51.875 (47.061) Prec@5 77.500 (77.577) Epoch: [43][8340/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 2.1481 (2.0607) Prec@1 43.750 (47.062) Prec@5 72.500 (77.577) Epoch: [43][8350/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 2.1835 (2.0607) Prec@1 39.375 (47.063) Prec@5 76.875 (77.579) Epoch: [43][8360/11272] Time 0.768 (0.795) Data 0.002 (0.002) Loss 2.1408 (2.0607) Prec@1 47.500 (47.062) Prec@5 76.875 (77.578) Epoch: [43][8370/11272] Time 0.843 (0.795) Data 0.002 (0.002) Loss 2.1997 (2.0608) Prec@1 45.000 (47.061) Prec@5 75.000 (77.575) Epoch: [43][8380/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 2.2651 (2.0608) Prec@1 40.000 (47.060) Prec@5 76.250 (77.577) Epoch: [43][8390/11272] Time 0.825 (0.795) Data 0.002 (0.002) Loss 1.8631 (2.0608) Prec@1 48.125 (47.061) Prec@5 81.250 (77.577) Epoch: [43][8400/11272] Time 0.777 (0.795) Data 0.002 (0.002) Loss 2.0340 (2.0609) Prec@1 50.625 (47.061) Prec@5 75.625 (77.576) Epoch: [43][8410/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 2.4419 (2.0610) Prec@1 43.750 (47.060) Prec@5 73.125 (77.575) Epoch: [43][8420/11272] Time 0.870 (0.795) Data 0.002 (0.002) Loss 1.8927 (2.0610) Prec@1 48.750 (47.059) Prec@5 83.125 (77.575) Epoch: [43][8430/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 2.0452 (2.0610) Prec@1 42.500 (47.060) Prec@5 76.875 (77.576) Epoch: [43][8440/11272] Time 0.861 (0.795) Data 0.001 (0.002) Loss 2.0546 (2.0610) Prec@1 48.750 (47.057) Prec@5 75.000 (77.575) Epoch: [43][8450/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 2.0799 (2.0610) Prec@1 47.500 (47.058) Prec@5 74.375 (77.575) Epoch: [43][8460/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 2.0700 (2.0610) Prec@1 49.375 (47.059) Prec@5 77.500 (77.575) Epoch: [43][8470/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.1349 (2.0610) Prec@1 45.625 (47.058) Prec@5 78.125 (77.576) Epoch: [43][8480/11272] Time 0.859 (0.795) Data 0.001 (0.002) Loss 2.0810 (2.0611) Prec@1 46.250 (47.057) Prec@5 81.250 (77.576) Epoch: [43][8490/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.0897 (2.0611) Prec@1 46.875 (47.059) Prec@5 74.375 (77.575) Epoch: [43][8500/11272] Time 0.766 (0.795) Data 0.002 (0.002) Loss 2.0497 (2.0610) Prec@1 46.250 (47.063) Prec@5 75.625 (77.576) Epoch: [43][8510/11272] Time 0.750 (0.795) Data 0.001 (0.002) Loss 1.8810 (2.0610) Prec@1 47.500 (47.062) Prec@5 76.875 (77.576) Epoch: [43][8520/11272] Time 0.888 (0.795) Data 0.001 (0.002) Loss 1.9598 (2.0610) Prec@1 55.000 (47.063) Prec@5 78.125 (77.576) Epoch: [43][8530/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.9794 (2.0609) Prec@1 50.000 (47.063) Prec@5 78.750 (77.578) Epoch: [43][8540/11272] Time 0.764 (0.795) Data 0.002 (0.002) Loss 2.0450 (2.0610) Prec@1 48.750 (47.062) Prec@5 77.500 (77.578) Epoch: [43][8550/11272] Time 0.702 (0.795) Data 0.001 (0.002) Loss 2.0944 (2.0610) Prec@1 45.625 (47.061) Prec@5 76.250 (77.578) Epoch: [43][8560/11272] Time 0.886 (0.795) Data 0.002 (0.002) Loss 1.9292 (2.0610) Prec@1 53.750 (47.062) Prec@5 79.375 (77.577) Epoch: [43][8570/11272] Time 0.732 (0.795) Data 0.003 (0.002) Loss 2.0937 (2.0609) Prec@1 52.500 (47.063) Prec@5 72.500 (77.577) Epoch: [43][8580/11272] Time 0.758 (0.795) Data 0.002 (0.002) Loss 1.9963 (2.0610) Prec@1 49.375 (47.061) Prec@5 78.750 (77.577) Epoch: [43][8590/11272] Time 0.866 (0.795) Data 0.001 (0.002) Loss 2.1842 (2.0611) Prec@1 45.625 (47.058) Prec@5 74.375 (77.576) Epoch: [43][8600/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.1471 (2.0610) Prec@1 45.000 (47.059) Prec@5 78.750 (77.576) Epoch: [43][8610/11272] Time 0.743 (0.795) Data 0.001 (0.002) Loss 2.1450 (2.0610) Prec@1 45.625 (47.058) Prec@5 73.125 (77.577) Epoch: [43][8620/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 2.0848 (2.0610) Prec@1 45.000 (47.058) Prec@5 80.000 (77.577) Epoch: [43][8630/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 2.1869 (2.0610) Prec@1 49.375 (47.061) Prec@5 76.250 (77.578) Epoch: [43][8640/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 1.9506 (2.0610) Prec@1 48.125 (47.058) Prec@5 79.375 (77.576) Epoch: [43][8650/11272] Time 0.745 (0.795) Data 0.001 (0.002) Loss 2.1380 (2.0610) Prec@1 49.375 (47.057) Prec@5 76.250 (77.576) Epoch: [43][8660/11272] Time 0.758 (0.795) Data 0.002 (0.002) Loss 2.0967 (2.0611) Prec@1 45.000 (47.056) Prec@5 76.875 (77.575) Epoch: [43][8670/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 1.9218 (2.0611) Prec@1 51.875 (47.058) Prec@5 79.375 (77.575) Epoch: [43][8680/11272] Time 0.906 (0.795) Data 0.002 (0.002) Loss 2.1171 (2.0611) Prec@1 40.000 (47.057) Prec@5 76.250 (77.575) Epoch: [43][8690/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.1471 (2.0612) Prec@1 46.875 (47.054) Prec@5 74.375 (77.575) Epoch: [43][8700/11272] Time 0.910 (0.795) Data 0.002 (0.002) Loss 2.0967 (2.0612) Prec@1 49.375 (47.051) Prec@5 77.500 (77.574) Epoch: [43][8710/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.2127 (2.0613) Prec@1 45.625 (47.051) Prec@5 74.375 (77.573) Epoch: [43][8720/11272] Time 0.747 (0.795) Data 0.001 (0.002) Loss 2.0459 (2.0614) Prec@1 48.125 (47.049) Prec@5 79.375 (77.572) Epoch: [43][8730/11272] Time 0.759 (0.795) Data 0.001 (0.002) Loss 1.8248 (2.0613) Prec@1 48.125 (47.049) Prec@5 83.125 (77.574) Epoch: [43][8740/11272] Time 0.855 (0.795) Data 0.002 (0.002) Loss 2.1687 (2.0613) Prec@1 42.500 (47.049) Prec@5 76.250 (77.575) Epoch: [43][8750/11272] Time 0.848 (0.795) Data 0.001 (0.002) Loss 2.2155 (2.0613) Prec@1 40.625 (47.047) Prec@5 78.125 (77.577) Epoch: [43][8760/11272] Time 0.757 (0.795) Data 0.002 (0.002) Loss 2.1403 (2.0613) Prec@1 39.375 (47.045) Prec@5 76.875 (77.576) Epoch: [43][8770/11272] Time 0.772 (0.795) Data 0.001 (0.002) Loss 2.3841 (2.0613) Prec@1 41.875 (47.046) Prec@5 70.625 (77.577) Epoch: [43][8780/11272] Time 0.856 (0.795) Data 0.001 (0.002) Loss 1.9718 (2.0612) Prec@1 49.375 (47.047) Prec@5 77.500 (77.576) Epoch: [43][8790/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.2913 (2.0613) Prec@1 46.250 (47.049) Prec@5 73.125 (77.575) Epoch: [43][8800/11272] Time 0.764 (0.795) Data 0.002 (0.002) Loss 2.2484 (2.0612) Prec@1 42.500 (47.050) Prec@5 71.250 (77.577) Epoch: [43][8810/11272] Time 0.794 (0.795) Data 0.002 (0.002) Loss 2.0581 (2.0613) Prec@1 50.625 (47.049) Prec@5 78.125 (77.575) Epoch: [43][8820/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 2.0474 (2.0612) Prec@1 46.875 (47.051) Prec@5 76.875 (77.575) Epoch: [43][8830/11272] Time 0.731 (0.795) Data 0.003 (0.002) Loss 2.1807 (2.0612) Prec@1 48.125 (47.052) Prec@5 76.250 (77.574) Epoch: [43][8840/11272] Time 0.756 (0.795) Data 0.001 (0.002) Loss 2.1829 (2.0613) Prec@1 45.625 (47.052) Prec@5 74.375 (77.572) Epoch: [43][8850/11272] Time 0.863 (0.795) Data 0.001 (0.002) Loss 1.8050 (2.0614) Prec@1 50.625 (47.049) Prec@5 82.500 (77.569) Epoch: [43][8860/11272] Time 0.874 (0.795) Data 0.002 (0.002) Loss 1.8666 (2.0614) Prec@1 51.250 (47.049) Prec@5 79.375 (77.570) Epoch: [43][8870/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 2.1591 (2.0613) Prec@1 41.875 (47.050) Prec@5 77.500 (77.571) Epoch: [43][8880/11272] Time 0.764 (0.795) Data 0.002 (0.002) Loss 2.0690 (2.0613) Prec@1 46.250 (47.050) Prec@5 78.750 (77.570) Epoch: [43][8890/11272] Time 0.829 (0.795) Data 0.002 (0.002) Loss 1.8955 (2.0613) Prec@1 48.750 (47.049) Prec@5 80.000 (77.571) Epoch: [43][8900/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 2.0879 (2.0614) Prec@1 48.750 (47.045) Prec@5 78.750 (77.571) Epoch: [43][8910/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 1.9819 (2.0615) Prec@1 46.875 (47.044) Prec@5 79.375 (77.569) Epoch: [43][8920/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.2538 (2.0615) Prec@1 45.625 (47.045) Prec@5 74.375 (77.569) Epoch: [43][8930/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 2.1398 (2.0614) Prec@1 49.375 (47.046) Prec@5 74.375 (77.570) Epoch: [43][8940/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.1460 (2.0613) Prec@1 45.000 (47.048) Prec@5 76.250 (77.572) Epoch: [43][8950/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 2.1059 (2.0613) Prec@1 46.875 (47.050) Prec@5 74.375 (77.572) Epoch: [43][8960/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 1.8464 (2.0613) Prec@1 50.000 (47.050) Prec@5 81.250 (77.572) Epoch: [43][8970/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 2.3029 (2.0612) Prec@1 40.625 (47.050) Prec@5 76.875 (77.574) Epoch: [43][8980/11272] Time 0.751 (0.795) Data 0.002 (0.002) Loss 2.3509 (2.0613) Prec@1 46.875 (47.048) Prec@5 69.375 (77.573) Epoch: [43][8990/11272] Time 0.755 (0.795) Data 0.001 (0.002) Loss 2.1342 (2.0613) Prec@1 45.625 (47.049) Prec@5 75.000 (77.573) Epoch: [43][9000/11272] Time 0.907 (0.795) Data 0.002 (0.002) Loss 2.2131 (2.0613) Prec@1 44.375 (47.047) Prec@5 76.250 (77.571) Epoch: [43][9010/11272] Time 0.861 (0.795) Data 0.001 (0.002) Loss 2.1358 (2.0614) Prec@1 44.375 (47.046) Prec@5 73.125 (77.571) Epoch: [43][9020/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.0394 (2.0613) Prec@1 46.875 (47.049) Prec@5 75.625 (77.571) Epoch: [43][9030/11272] Time 0.757 (0.795) Data 0.002 (0.002) Loss 2.0395 (2.0613) Prec@1 42.500 (47.048) Prec@5 76.250 (77.572) Epoch: [43][9040/11272] Time 0.867 (0.795) Data 0.002 (0.002) Loss 2.0311 (2.0612) Prec@1 43.125 (47.050) Prec@5 79.375 (77.573) Epoch: [43][9050/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.9957 (2.0612) Prec@1 49.375 (47.049) Prec@5 77.500 (77.573) Epoch: [43][9060/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.9086 (2.0611) Prec@1 46.875 (47.051) Prec@5 83.750 (77.576) Epoch: [43][9070/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 2.1565 (2.0611) Prec@1 46.250 (47.052) Prec@5 76.250 (77.576) Epoch: [43][9080/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 2.2221 (2.0612) Prec@1 45.625 (47.050) Prec@5 73.125 (77.573) Epoch: [43][9090/11272] Time 0.825 (0.795) Data 0.002 (0.002) Loss 2.1852 (2.0613) Prec@1 42.500 (47.049) Prec@5 76.250 (77.573) Epoch: [43][9100/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.7530 (2.0613) Prec@1 50.625 (47.051) Prec@5 83.750 (77.572) Epoch: [43][9110/11272] Time 0.877 (0.795) Data 0.001 (0.002) Loss 2.1847 (2.0612) Prec@1 38.750 (47.051) Prec@5 73.750 (77.572) Epoch: [43][9120/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.0491 (2.0613) Prec@1 50.000 (47.049) Prec@5 78.750 (77.571) Epoch: [43][9130/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 2.1293 (2.0614) Prec@1 48.125 (47.047) Prec@5 75.000 (77.569) Epoch: [43][9140/11272] Time 0.751 (0.795) Data 0.001 (0.002) Loss 2.0722 (2.0614) Prec@1 46.250 (47.046) Prec@5 77.500 (77.568) Epoch: [43][9150/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 2.1056 (2.0614) Prec@1 49.375 (47.047) Prec@5 76.875 (77.568) Epoch: [43][9160/11272] Time 0.876 (0.795) Data 0.002 (0.002) Loss 2.1952 (2.0615) Prec@1 44.375 (47.045) Prec@5 74.375 (77.568) Epoch: [43][9170/11272] Time 0.750 (0.795) Data 0.002 (0.002) Loss 2.1806 (2.0615) Prec@1 45.625 (47.046) Prec@5 75.000 (77.569) Epoch: [43][9180/11272] Time 0.764 (0.795) Data 0.001 (0.002) Loss 2.2027 (2.0615) Prec@1 43.750 (47.044) Prec@5 70.625 (77.568) Epoch: [43][9190/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 1.8409 (2.0616) Prec@1 48.125 (47.042) Prec@5 79.375 (77.566) Epoch: [43][9200/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.9212 (2.0615) Prec@1 53.125 (47.045) Prec@5 77.500 (77.568) Epoch: [43][9210/11272] Time 0.766 (0.795) Data 0.002 (0.002) Loss 1.9432 (2.0615) Prec@1 47.500 (47.047) Prec@5 81.875 (77.567) Epoch: [43][9220/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 2.1415 (2.0615) Prec@1 41.250 (47.046) Prec@5 80.000 (77.568) Epoch: [43][9230/11272] Time 0.886 (0.796) Data 0.001 (0.002) Loss 1.9835 (2.0615) Prec@1 51.250 (47.046) Prec@5 78.125 (77.568) Epoch: [43][9240/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 2.0570 (2.0615) Prec@1 47.500 (47.045) Prec@5 75.000 (77.566) Epoch: [43][9250/11272] Time 0.739 (0.796) Data 0.002 (0.002) Loss 2.0616 (2.0615) Prec@1 43.750 (47.045) Prec@5 80.000 (77.567) Epoch: [43][9260/11272] Time 0.845 (0.796) Data 0.001 (0.002) Loss 2.1051 (2.0615) Prec@1 45.625 (47.045) Prec@5 79.375 (77.567) Epoch: [43][9270/11272] Time 0.863 (0.796) Data 0.002 (0.002) Loss 1.6691 (2.0615) Prec@1 55.625 (47.044) Prec@5 84.375 (77.567) Epoch: [43][9280/11272] Time 0.743 (0.796) Data 0.001 (0.002) Loss 2.1750 (2.0615) Prec@1 46.250 (47.044) Prec@5 76.250 (77.569) Epoch: [43][9290/11272] Time 0.741 (0.796) Data 0.002 (0.002) Loss 2.1031 (2.0615) Prec@1 48.125 (47.045) Prec@5 75.625 (77.568) Epoch: [43][9300/11272] Time 0.821 (0.796) Data 0.001 (0.002) Loss 1.9497 (2.0615) Prec@1 46.250 (47.043) Prec@5 81.250 (77.568) Epoch: [43][9310/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 1.9593 (2.0615) Prec@1 50.000 (47.044) Prec@5 81.875 (77.569) Epoch: [43][9320/11272] Time 0.742 (0.796) Data 0.002 (0.002) Loss 2.1198 (2.0616) Prec@1 47.500 (47.043) Prec@5 75.625 (77.568) Epoch: [43][9330/11272] Time 0.749 (0.796) Data 0.001 (0.002) Loss 2.2067 (2.0615) Prec@1 43.750 (47.044) Prec@5 73.750 (77.568) Epoch: [43][9340/11272] Time 0.854 (0.796) Data 0.002 (0.002) Loss 2.0593 (2.0616) Prec@1 43.125 (47.043) Prec@5 77.500 (77.567) Epoch: [43][9350/11272] Time 0.833 (0.796) Data 0.001 (0.002) Loss 1.9467 (2.0616) Prec@1 52.500 (47.042) Prec@5 79.375 (77.566) Epoch: [43][9360/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 1.9945 (2.0617) Prec@1 50.000 (47.041) Prec@5 76.250 (77.566) Epoch: [43][9370/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 2.2671 (2.0618) Prec@1 41.250 (47.038) Prec@5 71.875 (77.563) Epoch: [43][9380/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 2.3804 (2.0619) Prec@1 40.625 (47.037) Prec@5 73.125 (77.562) Epoch: [43][9390/11272] Time 0.719 (0.796) Data 0.001 (0.002) Loss 2.1315 (2.0620) Prec@1 43.125 (47.035) Prec@5 78.125 (77.559) Epoch: [43][9400/11272] Time 0.721 (0.796) Data 0.002 (0.002) Loss 2.0916 (2.0620) Prec@1 43.750 (47.034) Prec@5 73.750 (77.559) Epoch: [43][9410/11272] Time 0.890 (0.796) Data 0.001 (0.002) Loss 2.2021 (2.0620) Prec@1 45.000 (47.034) Prec@5 77.500 (77.559) Epoch: [43][9420/11272] Time 0.822 (0.796) Data 0.002 (0.002) Loss 2.3092 (2.0620) Prec@1 45.000 (47.031) Prec@5 74.375 (77.559) Epoch: [43][9430/11272] Time 0.741 (0.796) Data 0.001 (0.002) Loss 2.0291 (2.0621) Prec@1 49.375 (47.031) Prec@5 77.500 (77.557) Epoch: [43][9440/11272] Time 0.725 (0.796) Data 0.001 (0.002) Loss 1.7680 (2.0621) Prec@1 46.875 (47.031) Prec@5 83.125 (77.558) Epoch: [43][9450/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 1.9594 (2.0621) Prec@1 48.750 (47.032) Prec@5 81.250 (77.558) Epoch: [43][9460/11272] Time 0.863 (0.796) Data 0.002 (0.002) Loss 1.9939 (2.0620) Prec@1 47.500 (47.033) Prec@5 80.000 (77.560) Epoch: [43][9470/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 2.0698 (2.0620) Prec@1 49.375 (47.032) Prec@5 78.125 (77.560) Epoch: [43][9480/11272] Time 0.764 (0.796) Data 0.002 (0.002) Loss 2.2256 (2.0620) Prec@1 48.750 (47.033) Prec@5 74.375 (77.561) Epoch: [43][9490/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 2.1821 (2.0619) Prec@1 45.000 (47.032) Prec@5 74.375 (77.562) Epoch: [43][9500/11272] Time 0.752 (0.796) Data 0.003 (0.002) Loss 2.2101 (2.0620) Prec@1 48.125 (47.032) Prec@5 73.125 (77.558) Epoch: [43][9510/11272] Time 0.726 (0.796) Data 0.002 (0.002) Loss 2.0083 (2.0620) Prec@1 46.875 (47.032) Prec@5 78.125 (77.558) Epoch: [43][9520/11272] Time 0.876 (0.796) Data 0.002 (0.002) Loss 2.2294 (2.0620) Prec@1 42.500 (47.031) Prec@5 76.250 (77.557) Epoch: [43][9530/11272] Time 0.867 (0.796) Data 0.002 (0.002) Loss 1.9096 (2.0621) Prec@1 51.875 (47.031) Prec@5 80.625 (77.555) Epoch: [43][9540/11272] Time 0.749 (0.796) Data 0.002 (0.002) Loss 2.0129 (2.0621) Prec@1 48.750 (47.030) Prec@5 78.750 (77.555) Epoch: [43][9550/11272] Time 0.733 (0.796) Data 0.001 (0.002) Loss 2.2236 (2.0622) Prec@1 41.875 (47.029) Prec@5 70.000 (77.552) Epoch: [43][9560/11272] Time 0.888 (0.796) Data 0.001 (0.002) Loss 2.0915 (2.0622) Prec@1 42.500 (47.028) Prec@5 76.250 (77.551) Epoch: [43][9570/11272] Time 0.842 (0.796) Data 0.001 (0.002) Loss 2.0575 (2.0622) Prec@1 48.125 (47.027) Prec@5 78.750 (77.551) Epoch: [43][9580/11272] Time 0.746 (0.796) Data 0.002 (0.002) Loss 2.1888 (2.0621) Prec@1 45.625 (47.027) Prec@5 73.750 (77.552) Epoch: [43][9590/11272] Time 0.732 (0.796) Data 0.001 (0.002) Loss 2.0339 (2.0622) Prec@1 45.625 (47.025) Prec@5 79.375 (77.552) Epoch: [43][9600/11272] Time 0.855 (0.796) Data 0.002 (0.002) Loss 1.9819 (2.0622) Prec@1 45.625 (47.026) Prec@5 83.125 (77.552) Epoch: [43][9610/11272] Time 0.917 (0.796) Data 0.002 (0.002) Loss 2.2461 (2.0622) Prec@1 41.875 (47.025) Prec@5 73.750 (77.552) Epoch: [43][9620/11272] Time 0.764 (0.796) Data 0.001 (0.002) Loss 2.0507 (2.0622) Prec@1 47.500 (47.024) Prec@5 78.750 (77.551) Epoch: [43][9630/11272] Time 0.895 (0.796) Data 0.002 (0.002) Loss 2.0809 (2.0623) Prec@1 47.500 (47.022) Prec@5 78.125 (77.549) Epoch: [43][9640/11272] Time 0.872 (0.796) Data 0.002 (0.002) Loss 1.9028 (2.0623) Prec@1 48.125 (47.021) Prec@5 83.750 (77.549) Epoch: [43][9650/11272] Time 0.775 (0.796) Data 0.001 (0.002) Loss 1.9441 (2.0623) Prec@1 48.750 (47.022) Prec@5 78.750 (77.549) Epoch: [43][9660/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 2.0141 (2.0622) Prec@1 51.875 (47.024) Prec@5 74.375 (77.550) Epoch: [43][9670/11272] Time 0.879 (0.796) Data 0.002 (0.002) Loss 2.1461 (2.0623) Prec@1 42.500 (47.022) Prec@5 78.750 (77.550) Epoch: [43][9680/11272] Time 0.880 (0.796) Data 0.002 (0.002) Loss 2.2390 (2.0624) Prec@1 46.250 (47.021) Prec@5 76.250 (77.548) Epoch: [43][9690/11272] Time 0.737 (0.796) Data 0.001 (0.002) Loss 2.1628 (2.0624) Prec@1 47.500 (47.020) Prec@5 76.250 (77.549) Epoch: [43][9700/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.1182 (2.0624) Prec@1 53.750 (47.020) Prec@5 75.625 (77.549) Epoch: [43][9710/11272] Time 0.860 (0.796) Data 0.001 (0.002) Loss 2.2305 (2.0624) Prec@1 43.750 (47.020) Prec@5 78.750 (77.550) Epoch: [43][9720/11272] Time 0.844 (0.796) Data 0.002 (0.002) Loss 1.9826 (2.0625) Prec@1 43.750 (47.019) Prec@5 82.500 (77.549) Epoch: [43][9730/11272] Time 0.754 (0.796) Data 0.002 (0.002) Loss 1.8848 (2.0624) Prec@1 44.375 (47.019) Prec@5 82.500 (77.552) Epoch: [43][9740/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 2.1658 (2.0624) Prec@1 46.875 (47.019) Prec@5 75.000 (77.552) Epoch: [43][9750/11272] Time 0.852 (0.796) Data 0.002 (0.002) Loss 2.1450 (2.0624) Prec@1 43.125 (47.018) Prec@5 76.250 (77.552) Epoch: [43][9760/11272] Time 0.749 (0.796) Data 0.004 (0.002) Loss 2.1702 (2.0624) Prec@1 43.125 (47.018) Prec@5 75.000 (77.553) Epoch: [43][9770/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 2.0137 (2.0624) Prec@1 46.250 (47.018) Prec@5 79.375 (77.552) Epoch: [43][9780/11272] Time 0.857 (0.796) Data 0.002 (0.002) Loss 1.9296 (2.0623) Prec@1 48.125 (47.019) Prec@5 78.750 (77.553) Epoch: [43][9790/11272] Time 0.853 (0.796) Data 0.001 (0.002) Loss 1.9743 (2.0624) Prec@1 49.375 (47.018) Prec@5 80.000 (77.552) Epoch: [43][9800/11272] Time 0.766 (0.796) Data 0.002 (0.002) Loss 2.1652 (2.0625) Prec@1 45.000 (47.017) Prec@5 78.125 (77.551) Epoch: [43][9810/11272] Time 0.737 (0.796) Data 0.001 (0.002) Loss 2.0231 (2.0625) Prec@1 45.625 (47.017) Prec@5 81.250 (77.551) Epoch: [43][9820/11272] Time 0.895 (0.796) Data 0.002 (0.002) Loss 2.2903 (2.0626) Prec@1 41.250 (47.015) Prec@5 73.750 (77.548) Epoch: [43][9830/11272] Time 0.967 (0.796) Data 0.002 (0.002) Loss 2.2621 (2.0626) Prec@1 41.875 (47.016) Prec@5 75.000 (77.549) Epoch: [43][9840/11272] Time 0.752 (0.796) Data 0.002 (0.002) Loss 1.9701 (2.0625) Prec@1 54.375 (47.019) Prec@5 75.625 (77.549) Epoch: [43][9850/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 2.0912 (2.0625) Prec@1 48.125 (47.018) Prec@5 77.500 (77.549) Epoch: [43][9860/11272] Time 0.878 (0.796) Data 0.002 (0.002) Loss 1.8513 (2.0625) Prec@1 51.875 (47.017) Prec@5 81.250 (77.550) Epoch: [43][9870/11272] Time 0.855 (0.796) Data 0.002 (0.002) Loss 2.0796 (2.0625) Prec@1 48.125 (47.018) Prec@5 73.125 (77.550) Epoch: [43][9880/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 2.1664 (2.0625) Prec@1 43.125 (47.019) Prec@5 75.000 (77.550) Epoch: [43][9890/11272] Time 0.845 (0.796) Data 0.001 (0.002) Loss 2.0030 (2.0625) Prec@1 48.125 (47.020) Prec@5 76.250 (77.550) Epoch: [43][9900/11272] Time 0.807 (0.796) Data 0.002 (0.002) Loss 2.1740 (2.0625) Prec@1 45.000 (47.019) Prec@5 73.125 (77.548) Epoch: [43][9910/11272] Time 0.740 (0.796) Data 0.001 (0.002) Loss 2.2404 (2.0626) Prec@1 43.750 (47.018) Prec@5 71.875 (77.547) Epoch: [43][9920/11272] Time 0.765 (0.796) Data 0.002 (0.002) Loss 2.4393 (2.0626) Prec@1 37.500 (47.016) Prec@5 72.500 (77.547) Epoch: [43][9930/11272] Time 0.852 (0.796) Data 0.001 (0.002) Loss 2.1764 (2.0626) Prec@1 46.250 (47.015) Prec@5 74.375 (77.546) Epoch: [43][9940/11272] Time 0.861 (0.796) Data 0.002 (0.002) Loss 2.0197 (2.0627) Prec@1 45.000 (47.014) Prec@5 75.625 (77.544) Epoch: [43][9950/11272] Time 0.742 (0.796) Data 0.002 (0.002) Loss 1.9000 (2.0626) Prec@1 53.750 (47.015) Prec@5 78.750 (77.544) Epoch: [43][9960/11272] Time 0.753 (0.796) Data 0.002 (0.002) Loss 1.9246 (2.0627) Prec@1 52.500 (47.013) Prec@5 76.875 (77.542) Epoch: [43][9970/11272] Time 0.856 (0.796) Data 0.001 (0.002) Loss 1.8289 (2.0627) Prec@1 56.250 (47.013) Prec@5 81.250 (77.543) Epoch: [43][9980/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 2.1336 (2.0628) Prec@1 53.750 (47.013) Prec@5 74.375 (77.541) Epoch: [43][9990/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.8553 (2.0628) Prec@1 48.125 (47.013) Prec@5 84.375 (77.542) Epoch: [43][10000/11272] Time 0.720 (0.796) Data 0.001 (0.002) Loss 2.0224 (2.0628) Prec@1 42.500 (47.013) Prec@5 77.500 (77.541) Epoch: [43][10010/11272] Time 0.842 (0.796) Data 0.002 (0.002) Loss 2.0652 (2.0628) Prec@1 45.000 (47.013) Prec@5 82.500 (77.542) Epoch: [43][10020/11272] Time 0.869 (0.796) Data 0.001 (0.002) Loss 2.1364 (2.0628) Prec@1 47.500 (47.014) Prec@5 75.000 (77.541) Epoch: [43][10030/11272] Time 0.709 (0.796) Data 0.001 (0.002) Loss 1.9923 (2.0628) Prec@1 45.000 (47.014) Prec@5 78.750 (77.542) Epoch: [43][10040/11272] Time 0.910 (0.796) Data 0.001 (0.002) Loss 2.0189 (2.0628) Prec@1 44.375 (47.014) Prec@5 83.125 (77.543) Epoch: [43][10050/11272] Time 0.883 (0.796) Data 0.001 (0.002) Loss 2.0943 (2.0628) Prec@1 40.625 (47.013) Prec@5 73.125 (77.542) Epoch: [43][10060/11272] Time 0.735 (0.796) Data 0.002 (0.002) Loss 1.9538 (2.0628) Prec@1 50.625 (47.014) Prec@5 78.750 (77.541) Epoch: [43][10070/11272] Time 0.766 (0.796) Data 0.001 (0.002) Loss 1.8855 (2.0628) Prec@1 50.625 (47.013) Prec@5 79.375 (77.540) Epoch: [43][10080/11272] Time 0.925 (0.796) Data 0.002 (0.002) Loss 2.2180 (2.0627) Prec@1 37.500 (47.013) Prec@5 75.625 (77.542) Epoch: [43][10090/11272] Time 0.841 (0.796) Data 0.002 (0.002) Loss 1.8841 (2.0627) Prec@1 46.250 (47.013) Prec@5 81.250 (77.542) Epoch: [43][10100/11272] Time 0.751 (0.796) Data 0.002 (0.002) Loss 1.9129 (2.0627) Prec@1 48.750 (47.013) Prec@5 82.500 (77.542) Epoch: [43][10110/11272] Time 0.750 (0.796) Data 0.001 (0.002) Loss 2.0672 (2.0627) Prec@1 47.500 (47.013) Prec@5 73.750 (77.539) Epoch: [43][10120/11272] Time 0.838 (0.796) Data 0.001 (0.002) Loss 2.0861 (2.0627) Prec@1 45.000 (47.013) Prec@5 76.875 (77.539) Epoch: [43][10130/11272] Time 0.832 (0.796) Data 0.001 (0.002) Loss 2.2015 (2.0627) Prec@1 46.250 (47.015) Prec@5 76.250 (77.539) Epoch: [43][10140/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 2.1544 (2.0627) Prec@1 45.625 (47.015) Prec@5 76.250 (77.541) Epoch: [43][10150/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 1.5781 (2.0627) Prec@1 56.875 (47.016) Prec@5 86.250 (77.541) Epoch: [43][10160/11272] Time 0.852 (0.796) Data 0.001 (0.002) Loss 2.0670 (2.0627) Prec@1 46.250 (47.016) Prec@5 78.750 (77.541) Epoch: [43][10170/11272] Time 0.769 (0.796) Data 0.003 (0.002) Loss 2.3802 (2.0627) Prec@1 45.625 (47.016) Prec@5 72.500 (77.539) Epoch: [43][10180/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 2.0630 (2.0628) Prec@1 43.125 (47.015) Prec@5 75.000 (77.537) Epoch: [43][10190/11272] Time 0.834 (0.796) Data 0.001 (0.002) Loss 1.9816 (2.0628) Prec@1 50.000 (47.013) Prec@5 76.875 (77.536) Epoch: [43][10200/11272] Time 0.887 (0.796) Data 0.001 (0.002) Loss 2.2804 (2.0629) Prec@1 45.625 (47.013) Prec@5 75.625 (77.535) Epoch: [43][10210/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 2.2718 (2.0629) Prec@1 45.625 (47.014) Prec@5 75.000 (77.536) Epoch: [43][10220/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 2.0948 (2.0630) Prec@1 46.875 (47.014) Prec@5 78.125 (77.534) Epoch: [43][10230/11272] Time 0.805 (0.796) Data 0.001 (0.002) Loss 2.3582 (2.0631) Prec@1 46.875 (47.014) Prec@5 73.750 (77.533) Epoch: [43][10240/11272] Time 0.841 (0.796) Data 0.002 (0.002) Loss 2.1526 (2.0631) Prec@1 47.500 (47.013) Prec@5 73.125 (77.533) Epoch: [43][10250/11272] Time 0.760 (0.796) Data 0.001 (0.002) Loss 2.2471 (2.0631) Prec@1 44.375 (47.015) Prec@5 73.125 (77.534) Epoch: [43][10260/11272] Time 0.741 (0.796) Data 0.002 (0.002) Loss 2.0310 (2.0632) Prec@1 43.125 (47.012) Prec@5 78.125 (77.531) Epoch: [43][10270/11272] Time 0.887 (0.796) Data 0.001 (0.002) Loss 1.8734 (2.0632) Prec@1 50.000 (47.011) Prec@5 76.875 (77.528) Epoch: [43][10280/11272] Time 0.869 (0.796) Data 0.001 (0.002) Loss 2.2064 (2.0633) Prec@1 48.125 (47.011) Prec@5 75.625 (77.528) Epoch: [43][10290/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 1.9382 (2.0632) Prec@1 46.250 (47.012) Prec@5 79.375 (77.530) Epoch: [43][10300/11272] Time 0.880 (0.796) Data 0.001 (0.002) Loss 1.9824 (2.0632) Prec@1 48.750 (47.012) Prec@5 80.000 (77.529) Epoch: [43][10310/11272] Time 0.846 (0.796) Data 0.002 (0.002) Loss 1.9745 (2.0632) Prec@1 50.625 (47.014) Prec@5 81.875 (77.530) Epoch: [43][10320/11272] Time 0.767 (0.796) Data 0.001 (0.002) Loss 1.9441 (2.0632) Prec@1 50.000 (47.014) Prec@5 83.750 (77.531) Epoch: [43][10330/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 1.9213 (2.0632) Prec@1 45.625 (47.012) Prec@5 81.250 (77.532) Epoch: [43][10340/11272] Time 0.921 (0.796) Data 0.002 (0.002) Loss 2.0905 (2.0632) Prec@1 43.125 (47.012) Prec@5 77.500 (77.532) Epoch: [43][10350/11272] Time 0.837 (0.796) Data 0.001 (0.002) Loss 2.0771 (2.0632) Prec@1 49.375 (47.013) Prec@5 76.250 (77.530) Epoch: [43][10360/11272] Time 0.742 (0.796) Data 0.001 (0.002) Loss 2.1089 (2.0632) Prec@1 45.000 (47.014) Prec@5 78.125 (77.531) Epoch: [43][10370/11272] Time 0.737 (0.796) Data 0.002 (0.002) Loss 1.9491 (2.0632) Prec@1 50.625 (47.014) Prec@5 78.125 (77.530) Epoch: [43][10380/11272] Time 0.864 (0.796) Data 0.002 (0.002) Loss 2.1243 (2.0633) Prec@1 45.000 (47.013) Prec@5 75.625 (77.528) Epoch: [43][10390/11272] Time 0.819 (0.796) Data 0.001 (0.002) Loss 2.2127 (2.0633) Prec@1 44.375 (47.012) Prec@5 75.000 (77.527) Epoch: [43][10400/11272] Time 0.779 (0.796) Data 0.001 (0.002) Loss 1.9136 (2.0632) Prec@1 50.625 (47.014) Prec@5 80.625 (77.528) Epoch: [43][10410/11272] Time 0.728 (0.796) Data 0.001 (0.002) Loss 1.8505 (2.0632) Prec@1 50.625 (47.014) Prec@5 80.625 (77.528) Epoch: [43][10420/11272] Time 0.894 (0.796) Data 0.002 (0.002) Loss 2.1189 (2.0632) Prec@1 49.375 (47.014) Prec@5 78.125 (77.528) Epoch: [43][10430/11272] Time 0.746 (0.796) Data 0.003 (0.002) Loss 2.0747 (2.0633) Prec@1 45.625 (47.013) Prec@5 76.875 (77.528) Epoch: [43][10440/11272] Time 0.764 (0.796) Data 0.002 (0.002) Loss 1.9905 (2.0632) Prec@1 48.750 (47.014) Prec@5 76.250 (77.529) Epoch: [43][10450/11272] Time 0.878 (0.796) Data 0.002 (0.002) Loss 1.9517 (2.0632) Prec@1 46.875 (47.013) Prec@5 80.000 (77.530) Epoch: [43][10460/11272] Time 0.877 (0.796) Data 0.002 (0.002) Loss 2.2791 (2.0633) Prec@1 44.375 (47.013) Prec@5 76.875 (77.529) Epoch: [43][10470/11272] Time 0.746 (0.796) Data 0.001 (0.002) Loss 1.7173 (2.0632) Prec@1 60.000 (47.014) Prec@5 83.125 (77.529) Epoch: [43][10480/11272] Time 0.754 (0.796) Data 0.001 (0.002) Loss 1.9891 (2.0633) Prec@1 50.000 (47.013) Prec@5 81.875 (77.528) Epoch: [43][10490/11272] Time 0.923 (0.797) Data 0.002 (0.002) Loss 2.0669 (2.0633) Prec@1 46.250 (47.012) Prec@5 77.500 (77.527) Epoch: [43][10500/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 2.0975 (2.0633) Prec@1 45.000 (47.012) Prec@5 74.375 (77.525) Epoch: [43][10510/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 2.0421 (2.0633) Prec@1 46.875 (47.013) Prec@5 76.875 (77.527) Epoch: [43][10520/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.1221 (2.0633) Prec@1 43.750 (47.013) Prec@5 73.125 (77.526) Epoch: [43][10530/11272] Time 0.872 (0.797) Data 0.001 (0.002) Loss 1.8181 (2.0633) Prec@1 48.125 (47.013) Prec@5 84.375 (77.527) Epoch: [43][10540/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 1.9555 (2.0633) Prec@1 49.375 (47.012) Prec@5 76.875 (77.525) Epoch: [43][10550/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 2.1615 (2.0633) Prec@1 45.000 (47.012) Prec@5 76.250 (77.525) Epoch: [43][10560/11272] Time 0.889 (0.797) Data 0.001 (0.002) Loss 1.8943 (2.0633) Prec@1 46.250 (47.012) Prec@5 82.500 (77.524) Epoch: [43][10570/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9325 (2.0633) Prec@1 53.125 (47.012) Prec@5 78.750 (77.525) Epoch: [43][10580/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 2.0498 (2.0633) Prec@1 42.500 (47.013) Prec@5 76.875 (77.526) Epoch: [43][10590/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.2859 (2.0633) Prec@1 40.625 (47.011) Prec@5 74.375 (77.526) Epoch: [43][10600/11272] Time 0.897 (0.797) Data 0.001 (0.002) Loss 2.1137 (2.0633) Prec@1 48.125 (47.011) Prec@5 80.000 (77.526) Epoch: [43][10610/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 2.0758 (2.0633) Prec@1 46.875 (47.012) Prec@5 74.375 (77.526) Epoch: [43][10620/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9991 (2.0633) Prec@1 51.250 (47.014) Prec@5 78.750 (77.526) Epoch: [43][10630/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0627 (2.0633) Prec@1 46.875 (47.013) Prec@5 75.625 (77.527) Epoch: [43][10640/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 1.7783 (2.0633) Prec@1 50.625 (47.012) Prec@5 83.750 (77.527) Epoch: [43][10650/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 2.1965 (2.0633) Prec@1 43.125 (47.012) Prec@5 74.375 (77.527) Epoch: [43][10660/11272] Time 0.790 (0.797) Data 0.001 (0.002) Loss 2.1190 (2.0633) Prec@1 43.750 (47.012) Prec@5 75.000 (77.527) Epoch: [43][10670/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 1.8076 (2.0633) Prec@1 53.750 (47.011) Prec@5 82.500 (77.527) Epoch: [43][10680/11272] Time 0.909 (0.797) Data 0.002 (0.002) Loss 2.1733 (2.0633) Prec@1 47.500 (47.012) Prec@5 73.750 (77.527) Epoch: [43][10690/11272] Time 0.782 (0.797) Data 0.004 (0.002) Loss 2.0976 (2.0633) Prec@1 50.000 (47.013) Prec@5 74.375 (77.527) Epoch: [43][10700/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1581 (2.0634) Prec@1 48.125 (47.011) Prec@5 73.125 (77.526) Epoch: [43][10710/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.1848 (2.0635) Prec@1 45.000 (47.009) Prec@5 76.875 (77.524) Epoch: [43][10720/11272] Time 0.897 (0.797) Data 0.002 (0.002) Loss 2.0772 (2.0635) Prec@1 50.625 (47.010) Prec@5 74.375 (77.524) Epoch: [43][10730/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.9344 (2.0635) Prec@1 50.625 (47.010) Prec@5 80.625 (77.524) Epoch: [43][10740/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 1.9918 (2.0635) Prec@1 50.625 (47.010) Prec@5 77.500 (77.524) Epoch: [43][10750/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 2.0060 (2.0634) Prec@1 46.875 (47.011) Prec@5 78.750 (77.525) Epoch: [43][10760/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 2.0478 (2.0635) Prec@1 50.000 (47.011) Prec@5 82.500 (77.526) Epoch: [43][10770/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0311 (2.0634) Prec@1 44.375 (47.012) Prec@5 77.500 (77.526) Epoch: [43][10780/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 2.0092 (2.0635) Prec@1 49.375 (47.011) Prec@5 75.625 (77.526) Epoch: [43][10790/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 1.9224 (2.0635) Prec@1 49.375 (47.012) Prec@5 78.125 (77.526) Epoch: [43][10800/11272] Time 0.865 (0.797) Data 0.001 (0.002) Loss 2.1542 (2.0635) Prec@1 43.750 (47.012) Prec@5 79.375 (77.527) Epoch: [43][10810/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 2.1296 (2.0635) Prec@1 45.000 (47.011) Prec@5 77.500 (77.527) Epoch: [43][10820/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 1.9942 (2.0634) Prec@1 48.750 (47.013) Prec@5 76.875 (77.527) Epoch: [43][10830/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 2.0860 (2.0635) Prec@1 42.500 (47.009) Prec@5 79.375 (77.527) Epoch: [43][10840/11272] Time 0.768 (0.797) Data 0.001 (0.002) Loss 2.2425 (2.0635) Prec@1 45.000 (47.009) Prec@5 75.000 (77.528) Epoch: [43][10850/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 1.8486 (2.0635) Prec@1 53.750 (47.009) Prec@5 81.250 (77.527) Epoch: [43][10860/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.3433 (2.0636) Prec@1 43.125 (47.009) Prec@5 71.875 (77.526) Epoch: [43][10870/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 2.2593 (2.0636) Prec@1 46.250 (47.009) Prec@5 75.000 (77.526) Epoch: [43][10880/11272] Time 0.717 (0.797) Data 0.001 (0.002) Loss 1.8922 (2.0636) Prec@1 45.625 (47.007) Prec@5 83.125 (77.526) Epoch: [43][10890/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.2487 (2.0636) Prec@1 45.625 (47.008) Prec@5 75.000 (77.526) Epoch: [43][10900/11272] Time 0.849 (0.797) Data 0.001 (0.002) Loss 2.0636 (2.0636) Prec@1 48.750 (47.009) Prec@5 80.000 (77.527) Epoch: [43][10910/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.0084 (2.0636) Prec@1 49.375 (47.009) Prec@5 80.000 (77.529) Epoch: [43][10920/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.0527 (2.0636) Prec@1 46.875 (47.008) Prec@5 78.125 (77.527) Epoch: [43][10930/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 1.9227 (2.0636) Prec@1 47.500 (47.008) Prec@5 83.750 (77.528) Epoch: [43][10940/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 1.8874 (2.0636) Prec@1 52.500 (47.009) Prec@5 78.125 (77.527) Epoch: [43][10950/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 2.1485 (2.0637) Prec@1 48.125 (47.008) Prec@5 76.875 (77.526) Epoch: [43][10960/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 2.1331 (2.0638) Prec@1 48.125 (47.007) Prec@5 74.375 (77.522) Epoch: [43][10970/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.0422 (2.0638) Prec@1 48.750 (47.009) Prec@5 81.250 (77.522) Epoch: [43][10980/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 2.0726 (2.0637) Prec@1 48.125 (47.009) Prec@5 75.625 (77.523) Epoch: [43][10990/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 2.0323 (2.0638) Prec@1 44.375 (47.008) Prec@5 80.000 (77.522) Epoch: [43][11000/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.0505 (2.0638) Prec@1 48.750 (47.008) Prec@5 76.250 (77.521) Epoch: [43][11010/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 2.3084 (2.0639) Prec@1 45.000 (47.007) Prec@5 73.125 (77.521) Epoch: [43][11020/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 2.0138 (2.0639) Prec@1 54.375 (47.008) Prec@5 80.625 (77.520) Epoch: [43][11030/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 2.0604 (2.0639) Prec@1 45.625 (47.008) Prec@5 81.875 (77.521) Epoch: [43][11040/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 1.9411 (2.0639) Prec@1 50.625 (47.009) Prec@5 81.250 (77.522) Epoch: [43][11050/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.1526 (2.0639) Prec@1 47.500 (47.008) Prec@5 73.750 (77.522) Epoch: [43][11060/11272] Time 0.857 (0.797) Data 0.003 (0.002) Loss 2.0491 (2.0639) Prec@1 44.375 (47.008) Prec@5 81.250 (77.522) Epoch: [43][11070/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.9434 (2.0639) Prec@1 51.250 (47.006) Prec@5 79.375 (77.522) Epoch: [43][11080/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.2169 (2.0640) Prec@1 45.625 (47.005) Prec@5 76.250 (77.521) Epoch: [43][11090/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0952 (2.0640) Prec@1 45.625 (47.006) Prec@5 75.625 (77.521) Epoch: [43][11100/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.0903 (2.0640) Prec@1 43.125 (47.006) Prec@5 74.375 (77.520) Epoch: [43][11110/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0927 (2.0640) Prec@1 48.750 (47.006) Prec@5 78.750 (77.520) Epoch: [43][11120/11272] Time 0.821 (0.797) Data 0.001 (0.002) Loss 1.9432 (2.0640) Prec@1 47.500 (47.005) Prec@5 83.125 (77.519) Epoch: [43][11130/11272] Time 0.838 (0.797) Data 0.002 (0.002) Loss 1.7676 (2.0640) Prec@1 55.000 (47.006) Prec@5 82.500 (77.520) Epoch: [43][11140/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 1.9682 (2.0640) Prec@1 41.875 (47.005) Prec@5 83.750 (77.521) Epoch: [43][11150/11272] Time 0.719 (0.797) Data 0.001 (0.002) Loss 2.0559 (2.0641) Prec@1 49.375 (47.005) Prec@5 78.125 (77.520) Epoch: [43][11160/11272] Time 0.880 (0.797) Data 0.001 (0.002) Loss 2.3120 (2.0641) Prec@1 45.625 (47.006) Prec@5 72.500 (77.520) Epoch: [43][11170/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.0025 (2.0640) Prec@1 48.750 (47.007) Prec@5 78.125 (77.521) Epoch: [43][11180/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 2.2215 (2.0640) Prec@1 48.125 (47.007) Prec@5 77.500 (77.521) Epoch: [43][11190/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0103 (2.0641) Prec@1 53.750 (47.006) Prec@5 78.125 (77.521) Epoch: [43][11200/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.1491 (2.0642) Prec@1 42.500 (47.006) Prec@5 75.625 (77.519) Epoch: [43][11210/11272] Time 0.871 (0.797) Data 0.001 (0.002) Loss 2.0500 (2.0642) Prec@1 45.000 (47.005) Prec@5 79.375 (77.519) Epoch: [43][11220/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 2.1984 (2.0642) Prec@1 40.625 (47.006) Prec@5 74.375 (77.519) Epoch: [43][11230/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.2228 (2.0642) Prec@1 45.625 (47.004) Prec@5 71.875 (77.517) Epoch: [43][11240/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.0603 (2.0642) Prec@1 46.250 (47.003) Prec@5 80.000 (77.517) Epoch: [43][11250/11272] Time 0.801 (0.797) Data 0.001 (0.002) Loss 2.0086 (2.0642) Prec@1 47.500 (47.004) Prec@5 79.375 (77.518) Epoch: [43][11260/11272] Time 0.781 (0.797) Data 0.002 (0.002) Loss 2.3583 (2.0643) Prec@1 39.375 (47.003) Prec@5 73.125 (77.519) Epoch: [43][11270/11272] Time 0.790 (0.797) Data 0.000 (0.002) Loss 1.9403 (2.0643) Prec@1 48.750 (47.001) Prec@5 76.250 (77.517) Test: [0/229] Time 1.925 (1.925) Loss 1.2103 (1.2103) Prec@1 61.875 (61.875) Prec@5 93.125 (93.125) Test: [10/229] Time 0.339 (0.528) Loss 1.2371 (1.6553) Prec@1 62.500 (53.352) Prec@5 95.000 (87.273) Test: [20/229] Time 0.403 (0.460) Loss 2.0697 (1.7544) Prec@1 45.625 (51.786) Prec@5 77.500 (84.911) Test: [30/229] Time 0.335 (0.433) Loss 2.0057 (1.6881) Prec@1 45.000 (54.274) Prec@5 83.750 (85.323) Test: [40/229] Time 0.464 (0.421) Loss 0.5952 (1.6976) Prec@1 87.500 (54.390) Prec@5 93.125 (85.030) Test: [50/229] Time 0.458 (0.414) Loss 2.4391 (1.7633) Prec@1 31.250 (53.051) Prec@5 74.375 (83.186) Test: [60/229] Time 0.365 (0.409) Loss 2.0983 (1.7440) Prec@1 38.750 (53.361) Prec@5 84.375 (83.576) Test: [70/229] Time 0.461 (0.408) Loss 1.3089 (1.7591) Prec@1 67.500 (53.028) Prec@5 88.750 (83.512) Test: [80/229] Time 0.338 (0.404) Loss 1.8215 (1.7734) Prec@1 50.625 (52.323) Prec@5 86.875 (83.619) Test: [90/229] Time 0.411 (0.403) Loss 1.2920 (1.7845) Prec@1 71.250 (52.205) Prec@5 88.125 (83.544) Test: [100/229] Time 0.350 (0.400) Loss 2.3765 (1.7815) Prec@1 42.500 (52.537) Prec@5 78.750 (83.558) Test: [110/229] Time 0.314 (0.398) Loss 1.7181 (1.7636) Prec@1 50.625 (52.877) Prec@5 84.375 (83.761) Test: [120/229] Time 0.438 (0.397) Loss 2.9272 (1.7851) Prec@1 23.125 (52.252) Prec@5 68.750 (83.507) Test: [130/229] Time 0.381 (0.396) Loss 1.1818 (1.7656) Prec@1 63.125 (52.624) Prec@5 91.875 (83.769) Test: [140/229] Time 0.409 (0.395) Loss 1.8527 (1.7781) Prec@1 53.125 (52.238) Prec@5 81.250 (83.608) Test: [150/229] Time 0.329 (0.394) Loss 1.0680 (1.7888) Prec@1 77.500 (51.945) Prec@5 88.750 (83.539) Test: [160/229] Time 0.412 (0.393) Loss 1.8754 (1.7932) Prec@1 56.875 (51.848) Prec@5 81.875 (83.467) Test: [170/229] Time 0.358 (0.393) Loss 1.7834 (1.8013) Prec@1 51.875 (51.502) Prec@5 85.625 (83.374) Test: [180/229] Time 0.403 (0.392) Loss 2.3897 (1.8045) Prec@1 37.500 (51.506) Prec@5 70.000 (83.280) Test: [190/229] Time 0.454 (0.392) Loss 1.4838 (1.7965) Prec@1 58.750 (51.747) Prec@5 91.250 (83.377) Test: [200/229] Time 0.336 (0.392) Loss 1.8421 (1.7899) Prec@1 48.750 (51.813) Prec@5 79.375 (83.551) Test: [210/229] Time 0.441 (0.391) Loss 1.2721 (1.7808) Prec@1 57.500 (52.079) Prec@5 91.875 (83.682) Test: [220/229] Time 0.387 (0.390) Loss 1.4744 (1.7729) Prec@1 60.000 (52.359) Prec@5 90.625 (83.736) * Prec@1 52.709 Prec@5 83.779 Epoch: [44][0/11272] Time 3.360 (3.360) Data 2.514 (2.514) Loss 1.7155 (1.7155) Prec@1 61.250 (61.250) Prec@5 83.750 (83.750) Epoch: [44][10/11272] Time 0.855 (1.041) Data 0.001 (0.230) Loss 2.1921 (2.0279) Prec@1 41.875 (49.830) Prec@5 77.500 (78.466) Epoch: [44][20/11272] Time 0.838 (0.923) Data 0.001 (0.121) Loss 1.9563 (2.0175) Prec@1 51.250 (49.881) Prec@5 79.375 (78.274) Epoch: [44][30/11272] Time 0.730 (0.887) Data 0.001 (0.083) Loss 1.6562 (2.0123) Prec@1 53.125 (49.274) Prec@5 84.375 (78.407) Epoch: [44][40/11272] Time 0.906 (0.865) Data 0.001 (0.063) Loss 2.2001 (2.0126) Prec@1 46.250 (49.314) Prec@5 72.500 (78.476) Epoch: [44][50/11272] Time 0.840 (0.850) Data 0.001 (0.051) Loss 1.9985 (2.0130) Prec@1 49.375 (49.498) Prec@5 77.500 (78.333) Epoch: [44][60/11272] Time 0.729 (0.841) Data 0.001 (0.043) Loss 1.8963 (2.0125) Prec@1 54.375 (49.395) Prec@5 79.375 (78.217) Epoch: [44][70/11272] Time 0.730 (0.834) Data 0.001 (0.037) Loss 1.8569 (2.0160) Prec@1 53.750 (48.926) Prec@5 80.000 (78.248) Epoch: [44][80/11272] Time 0.866 (0.830) Data 0.001 (0.033) Loss 1.9295 (2.0166) Prec@1 51.875 (48.866) Prec@5 78.125 (78.241) Epoch: [44][90/11272] Time 0.866 (0.826) Data 0.002 (0.029) Loss 2.0072 (2.0144) Prec@1 48.125 (48.880) Prec@5 79.375 (78.207) Epoch: [44][100/11272] Time 0.754 (0.823) Data 0.002 (0.026) Loss 1.9639 (2.0113) Prec@1 50.000 (48.762) Prec@5 80.625 (78.342) Epoch: [44][110/11272] Time 0.732 (0.821) Data 0.001 (0.024) Loss 2.0460 (2.0125) Prec@1 47.500 (48.688) Prec@5 78.750 (78.322) Epoch: [44][120/11272] Time 0.888 (0.820) Data 0.002 (0.022) Loss 1.8968 (2.0132) Prec@1 50.625 (48.580) Prec@5 79.375 (78.295) Epoch: [44][130/11272] Time 0.826 (0.817) Data 0.002 (0.021) Loss 2.2233 (2.0165) Prec@1 43.125 (48.473) Prec@5 75.000 (78.259) Epoch: [44][140/11272] Time 0.722 (0.814) Data 0.001 (0.019) Loss 2.2993 (2.0184) Prec@1 43.750 (48.506) Prec@5 72.500 (78.240) Epoch: [44][150/11272] Time 0.728 (0.813) Data 0.001 (0.018) Loss 2.0314 (2.0179) Prec@1 48.125 (48.431) Prec@5 76.875 (78.324) Epoch: [44][160/11272] Time 0.829 (0.812) Data 0.001 (0.017) Loss 1.9731 (2.0207) Prec@1 52.500 (48.451) Prec@5 82.500 (78.261) Epoch: [44][170/11272] Time 0.747 (0.812) Data 0.001 (0.016) Loss 2.1832 (2.0287) Prec@1 44.375 (48.293) Prec@5 78.750 (78.140) Epoch: [44][180/11272] Time 0.772 (0.812) Data 0.002 (0.015) Loss 2.3013 (2.0301) Prec@1 40.625 (48.184) Prec@5 71.875 (78.163) Epoch: [44][190/11272] Time 0.863 (0.812) Data 0.001 (0.015) Loss 2.2325 (2.0279) Prec@1 43.125 (48.125) Prec@5 71.875 (78.220) Epoch: [44][200/11272] Time 0.922 (0.812) Data 0.001 (0.014) Loss 2.1285 (2.0291) Prec@1 45.000 (48.122) Prec@5 77.500 (78.181) Epoch: [44][210/11272] Time 0.757 (0.811) Data 0.001 (0.013) Loss 2.1199 (2.0291) Prec@1 44.375 (48.033) Prec@5 78.750 (78.202) Epoch: [44][220/11272] Time 0.756 (0.810) Data 0.001 (0.013) Loss 1.8607 (2.0302) Prec@1 48.750 (47.995) Prec@5 80.000 (78.165) Epoch: [44][230/11272] Time 0.840 (0.810) Data 0.001 (0.012) Loss 1.7873 (2.0272) Prec@1 55.000 (47.992) Prec@5 81.875 (78.233) Epoch: [44][240/11272] Time 0.885 (0.809) Data 0.001 (0.012) Loss 2.0947 (2.0284) Prec@1 50.625 (47.938) Prec@5 73.750 (78.187) Epoch: [44][250/11272] Time 0.723 (0.808) Data 0.002 (0.011) Loss 2.2506 (2.0305) Prec@1 45.000 (47.881) Prec@5 76.875 (78.145) Epoch: [44][260/11272] Time 0.764 (0.807) Data 0.001 (0.011) Loss 1.9222 (2.0313) Prec@1 53.750 (47.883) Prec@5 78.750 (78.091) Epoch: [44][270/11272] Time 0.845 (0.807) Data 0.001 (0.011) Loss 2.0337 (2.0301) Prec@1 46.875 (47.846) Prec@5 80.625 (78.139) Epoch: [44][280/11272] Time 0.849 (0.807) Data 0.001 (0.010) Loss 1.9965 (2.0270) Prec@1 47.500 (47.865) Prec@5 76.250 (78.210) Epoch: [44][290/11272] Time 0.735 (0.807) Data 0.001 (0.010) Loss 2.0748 (2.0259) Prec@1 46.875 (47.863) Prec@5 78.125 (78.226) Epoch: [44][300/11272] Time 0.862 (0.806) Data 0.002 (0.010) Loss 2.0370 (2.0277) Prec@1 40.000 (47.784) Prec@5 77.500 (78.208) Epoch: [44][310/11272] Time 0.790 (0.806) Data 0.002 (0.010) Loss 2.2482 (2.0277) Prec@1 44.375 (47.767) Prec@5 71.250 (78.197) Epoch: [44][320/11272] Time 0.763 (0.805) Data 0.002 (0.009) Loss 1.9813 (2.0271) Prec@1 48.750 (47.765) Prec@5 82.500 (78.189) Epoch: [44][330/11272] Time 0.743 (0.805) Data 0.001 (0.009) Loss 1.8623 (2.0265) Prec@1 50.000 (47.768) Prec@5 83.125 (78.197) Epoch: [44][340/11272] Time 0.911 (0.805) Data 0.003 (0.009) Loss 1.7740 (2.0250) Prec@1 48.750 (47.779) Prec@5 80.000 (78.185) Epoch: [44][350/11272] Time 0.838 (0.804) Data 0.001 (0.009) Loss 1.7996 (2.0266) Prec@1 53.125 (47.758) Prec@5 80.625 (78.146) Epoch: [44][360/11272] Time 0.733 (0.804) Data 0.001 (0.008) Loss 1.9229 (2.0271) Prec@1 48.125 (47.732) Prec@5 80.625 (78.160) Epoch: [44][370/11272] Time 0.738 (0.804) Data 0.001 (0.008) Loss 1.8978 (2.0270) Prec@1 57.500 (47.753) Prec@5 81.250 (78.174) Epoch: [44][380/11272] Time 0.901 (0.804) Data 0.002 (0.008) Loss 1.9465 (2.0283) Prec@1 49.375 (47.730) Prec@5 78.125 (78.130) Epoch: [44][390/11272] Time 0.804 (0.804) Data 0.001 (0.008) Loss 1.9933 (2.0283) Prec@1 43.750 (47.682) Prec@5 79.375 (78.143) Epoch: [44][400/11272] Time 0.735 (0.804) Data 0.001 (0.008) Loss 1.9782 (2.0274) Prec@1 51.250 (47.726) Prec@5 80.000 (78.156) Epoch: [44][410/11272] Time 0.734 (0.804) Data 0.002 (0.008) Loss 2.1523 (2.0277) Prec@1 46.875 (47.737) Prec@5 78.125 (78.152) Epoch: [44][420/11272] Time 0.861 (0.804) Data 0.002 (0.007) Loss 2.0705 (2.0285) Prec@1 47.500 (47.718) Prec@5 80.000 (78.122) Epoch: [44][430/11272] Time 0.725 (0.803) Data 0.003 (0.007) Loss 2.3145 (2.0305) Prec@1 43.750 (47.665) Prec@5 73.750 (78.073) Epoch: [44][440/11272] Time 0.760 (0.803) Data 0.002 (0.007) Loss 1.9317 (2.0300) Prec@1 53.125 (47.688) Prec@5 79.375 (78.077) Epoch: [44][450/11272] Time 0.854 (0.803) Data 0.002 (0.007) Loss 2.0633 (2.0303) Prec@1 42.500 (47.640) Prec@5 78.125 (78.093) Epoch: [44][460/11272] Time 0.875 (0.803) Data 0.001 (0.007) Loss 2.0454 (2.0301) Prec@1 45.625 (47.600) Prec@5 75.000 (78.099) Epoch: [44][470/11272] Time 0.743 (0.803) Data 0.001 (0.007) Loss 1.8388 (2.0295) Prec@1 47.500 (47.613) Prec@5 81.250 (78.129) Epoch: [44][480/11272] Time 0.737 (0.803) Data 0.001 (0.007) Loss 1.9124 (2.0298) Prec@1 50.625 (47.625) Prec@5 76.875 (78.141) Epoch: [44][490/11272] Time 0.828 (0.803) Data 0.001 (0.007) Loss 2.0055 (2.0295) Prec@1 51.875 (47.631) Prec@5 74.375 (78.138) Epoch: [44][500/11272] Time 0.869 (0.803) Data 0.001 (0.007) Loss 1.8678 (2.0286) Prec@1 51.875 (47.637) Prec@5 81.875 (78.171) Epoch: [44][510/11272] Time 0.734 (0.802) Data 0.001 (0.006) Loss 1.9652 (2.0282) Prec@1 45.625 (47.639) Prec@5 83.750 (78.168) Epoch: [44][520/11272] Time 0.779 (0.802) Data 0.001 (0.006) Loss 1.8726 (2.0288) Prec@1 49.375 (47.624) Prec@5 81.875 (78.148) Epoch: [44][530/11272] Time 0.847 (0.802) Data 0.001 (0.006) Loss 1.8389 (2.0295) Prec@1 50.000 (47.621) Prec@5 81.875 (78.144) Epoch: [44][540/11272] Time 0.828 (0.802) Data 0.002 (0.006) Loss 2.0564 (2.0292) Prec@1 48.750 (47.635) Prec@5 76.875 (78.156) Epoch: [44][550/11272] Time 0.726 (0.802) Data 0.001 (0.006) Loss 2.0301 (2.0292) Prec@1 53.750 (47.654) Prec@5 76.875 (78.154) Epoch: [44][560/11272] Time 0.885 (0.802) Data 0.001 (0.006) Loss 2.1881 (2.0297) Prec@1 40.000 (47.664) Prec@5 75.625 (78.135) Epoch: [44][570/11272] Time 0.830 (0.802) Data 0.001 (0.006) Loss 1.9102 (2.0293) Prec@1 55.625 (47.680) Prec@5 77.500 (78.124) Epoch: [44][580/11272] Time 0.727 (0.802) Data 0.001 (0.006) Loss 1.9243 (2.0290) Prec@1 53.125 (47.696) Prec@5 83.750 (78.129) Epoch: [44][590/11272] Time 0.724 (0.802) Data 0.001 (0.006) Loss 2.0329 (2.0290) Prec@1 46.875 (47.698) Prec@5 80.625 (78.140) Epoch: [44][600/11272] Time 0.877 (0.802) Data 0.001 (0.006) Loss 1.9104 (2.0303) Prec@1 53.125 (47.688) Prec@5 78.750 (78.102) Epoch: [44][610/11272] Time 0.832 (0.802) Data 0.001 (0.006) Loss 2.2187 (2.0310) Prec@1 46.875 (47.688) Prec@5 76.250 (78.101) Epoch: [44][620/11272] Time 0.719 (0.801) Data 0.001 (0.006) Loss 2.1438 (2.0304) Prec@1 45.000 (47.704) Prec@5 80.000 (78.127) Epoch: [44][630/11272] Time 0.724 (0.801) Data 0.001 (0.005) Loss 1.7511 (2.0293) Prec@1 51.875 (47.733) Prec@5 82.500 (78.154) Epoch: [44][640/11272] Time 0.881 (0.802) Data 0.002 (0.005) Loss 2.2348 (2.0294) Prec@1 47.500 (47.734) Prec@5 75.000 (78.145) Epoch: [44][650/11272] Time 0.849 (0.802) Data 0.001 (0.005) Loss 1.9172 (2.0291) Prec@1 51.250 (47.737) Prec@5 76.250 (78.152) Epoch: [44][660/11272] Time 0.778 (0.802) Data 0.001 (0.005) Loss 2.0470 (2.0289) Prec@1 46.250 (47.742) Prec@5 81.875 (78.153) Epoch: [44][670/11272] Time 0.751 (0.802) Data 0.002 (0.005) Loss 1.9125 (2.0293) Prec@1 51.875 (47.760) Prec@5 82.500 (78.146) Epoch: [44][680/11272] Time 0.867 (0.802) Data 0.002 (0.005) Loss 1.8025 (2.0288) Prec@1 53.125 (47.756) Prec@5 82.500 (78.140) Epoch: [44][690/11272] Time 0.727 (0.802) Data 0.003 (0.005) Loss 1.8926 (2.0295) Prec@1 44.375 (47.741) Prec@5 83.125 (78.120) Epoch: [44][700/11272] Time 0.730 (0.802) Data 0.002 (0.005) Loss 1.6600 (2.0281) Prec@1 52.500 (47.750) Prec@5 85.625 (78.129) Epoch: [44][710/11272] Time 0.823 (0.802) Data 0.001 (0.005) Loss 1.8201 (2.0279) Prec@1 50.625 (47.755) Prec@5 81.250 (78.146) Epoch: [44][720/11272] Time 0.858 (0.802) Data 0.002 (0.005) Loss 2.3291 (2.0280) Prec@1 39.375 (47.757) Prec@5 68.750 (78.124) Epoch: [44][730/11272] Time 0.729 (0.801) Data 0.001 (0.005) Loss 1.9374 (2.0279) Prec@1 50.000 (47.752) Prec@5 81.250 (78.114) Epoch: [44][740/11272] Time 0.732 (0.801) Data 0.002 (0.005) Loss 2.1259 (2.0273) Prec@1 49.375 (47.784) Prec@5 78.125 (78.125) Epoch: [44][750/11272] Time 0.840 (0.801) Data 0.001 (0.005) Loss 2.2562 (2.0279) Prec@1 41.250 (47.780) Prec@5 71.250 (78.107) Epoch: [44][760/11272] Time 0.892 (0.801) Data 0.002 (0.005) Loss 2.1172 (2.0276) Prec@1 50.000 (47.794) Prec@5 75.625 (78.127) Epoch: [44][770/11272] Time 0.728 (0.801) Data 0.001 (0.005) Loss 2.0316 (2.0278) Prec@1 52.500 (47.802) Prec@5 76.875 (78.129) Epoch: [44][780/11272] Time 0.740 (0.801) Data 0.002 (0.005) Loss 2.1989 (2.0280) Prec@1 49.375 (47.794) Prec@5 74.375 (78.121) Epoch: [44][790/11272] Time 0.799 (0.801) Data 0.002 (0.005) Loss 2.1352 (2.0277) Prec@1 46.875 (47.804) Prec@5 78.125 (78.116) Epoch: [44][800/11272] Time 0.847 (0.801) Data 0.001 (0.005) Loss 2.2192 (2.0275) Prec@1 41.875 (47.802) Prec@5 74.375 (78.113) Epoch: [44][810/11272] Time 0.721 (0.801) Data 0.001 (0.005) Loss 2.0702 (2.0274) Prec@1 46.250 (47.807) Prec@5 78.125 (78.119) Epoch: [44][820/11272] Time 0.921 (0.801) Data 0.002 (0.005) Loss 2.1222 (2.0272) Prec@1 49.375 (47.821) Prec@5 78.125 (78.127) Epoch: [44][830/11272] Time 0.822 (0.801) Data 0.001 (0.005) Loss 1.8563 (2.0268) Prec@1 48.750 (47.822) Prec@5 83.125 (78.131) Epoch: [44][840/11272] Time 0.724 (0.801) Data 0.001 (0.004) Loss 1.8517 (2.0271) Prec@1 50.000 (47.808) Prec@5 80.000 (78.121) Epoch: [44][850/11272] Time 0.728 (0.801) Data 0.001 (0.004) Loss 2.3022 (2.0275) Prec@1 42.500 (47.781) Prec@5 71.875 (78.121) Epoch: [44][860/11272] Time 0.949 (0.801) Data 0.001 (0.004) Loss 2.1099 (2.0278) Prec@1 51.875 (47.795) Prec@5 76.250 (78.100) Epoch: [44][870/11272] Time 0.820 (0.801) Data 0.001 (0.004) Loss 2.1339 (2.0281) Prec@1 43.750 (47.783) Prec@5 75.000 (78.084) Epoch: [44][880/11272] Time 0.704 (0.801) Data 0.001 (0.004) Loss 1.8869 (2.0280) Prec@1 48.125 (47.795) Prec@5 80.625 (78.080) Epoch: [44][890/11272] Time 0.730 (0.801) Data 0.001 (0.004) Loss 2.0575 (2.0287) Prec@1 47.500 (47.777) Prec@5 78.125 (78.075) Epoch: [44][900/11272] Time 0.868 (0.801) Data 0.002 (0.004) Loss 2.0441 (2.0283) Prec@1 45.625 (47.781) Prec@5 80.000 (78.081) Epoch: [44][910/11272] Time 0.834 (0.801) Data 0.001 (0.004) Loss 2.1343 (2.0283) Prec@1 41.875 (47.768) Prec@5 75.625 (78.081) Epoch: [44][920/11272] Time 0.751 (0.801) Data 0.001 (0.004) Loss 1.7389 (2.0282) Prec@1 51.250 (47.773) Prec@5 86.250 (78.096) Epoch: [44][930/11272] Time 0.750 (0.801) Data 0.001 (0.004) Loss 1.9299 (2.0286) Prec@1 51.875 (47.776) Prec@5 79.375 (78.093) Epoch: [44][940/11272] Time 0.890 (0.801) Data 0.002 (0.004) Loss 2.0683 (2.0287) Prec@1 45.625 (47.770) Prec@5 76.250 (78.094) Epoch: [44][950/11272] Time 0.836 (0.801) Data 0.001 (0.004) Loss 2.0875 (2.0292) Prec@1 44.375 (47.752) Prec@5 77.500 (78.097) Epoch: [44][960/11272] Time 0.724 (0.801) Data 0.001 (0.004) Loss 1.9566 (2.0295) Prec@1 48.750 (47.754) Prec@5 79.375 (78.100) Epoch: [44][970/11272] Time 0.856 (0.801) Data 0.001 (0.004) Loss 2.1810 (2.0296) Prec@1 44.375 (47.751) Prec@5 74.375 (78.108) Epoch: [44][980/11272] Time 0.859 (0.801) Data 0.002 (0.004) Loss 2.0651 (2.0292) Prec@1 50.625 (47.771) Prec@5 79.375 (78.112) Epoch: [44][990/11272] Time 0.738 (0.801) Data 0.001 (0.004) Loss 2.2354 (2.0288) Prec@1 44.375 (47.782) Prec@5 75.625 (78.128) Epoch: [44][1000/11272] Time 0.729 (0.801) Data 0.001 (0.004) Loss 2.1885 (2.0291) Prec@1 45.000 (47.771) Prec@5 77.500 (78.133) Epoch: [44][1010/11272] Time 0.823 (0.801) Data 0.001 (0.004) Loss 2.1552 (2.0303) Prec@1 45.000 (47.754) Prec@5 78.750 (78.119) Epoch: [44][1020/11272] Time 0.864 (0.801) Data 0.001 (0.004) Loss 2.4293 (2.0313) Prec@1 40.625 (47.742) Prec@5 73.125 (78.112) Epoch: [44][1030/11272] Time 0.719 (0.801) Data 0.001 (0.004) Loss 1.8457 (2.0315) Prec@1 45.000 (47.737) Prec@5 84.375 (78.108) Epoch: [44][1040/11272] Time 0.734 (0.801) Data 0.001 (0.004) Loss 2.0515 (2.0316) Prec@1 50.000 (47.744) Prec@5 76.875 (78.088) Epoch: [44][1050/11272] Time 0.835 (0.801) Data 0.002 (0.004) Loss 2.1705 (2.0320) Prec@1 46.250 (47.740) Prec@5 77.500 (78.074) Epoch: [44][1060/11272] Time 0.891 (0.801) Data 0.002 (0.004) Loss 2.2994 (2.0320) Prec@1 40.000 (47.741) Prec@5 71.875 (78.074) Epoch: [44][1070/11272] Time 0.737 (0.801) Data 0.001 (0.004) Loss 2.1984 (2.0318) Prec@1 44.375 (47.744) Prec@5 73.750 (78.077) Epoch: [44][1080/11272] Time 0.724 (0.801) Data 0.001 (0.004) Loss 2.0956 (2.0316) Prec@1 48.750 (47.754) Prec@5 76.875 (78.072) Epoch: [44][1090/11272] Time 0.840 (0.801) Data 0.001 (0.004) Loss 1.9615 (2.0320) Prec@1 50.000 (47.741) Prec@5 81.875 (78.072) Epoch: [44][1100/11272] Time 0.735 (0.801) Data 0.001 (0.004) Loss 2.1983 (2.0322) Prec@1 47.500 (47.745) Prec@5 75.625 (78.062) Epoch: [44][1110/11272] Time 0.704 (0.801) Data 0.001 (0.004) Loss 2.2476 (2.0326) Prec@1 45.625 (47.739) Prec@5 73.125 (78.052) Epoch: [44][1120/11272] Time 0.938 (0.801) Data 0.002 (0.004) Loss 2.0686 (2.0328) Prec@1 50.625 (47.723) Prec@5 80.000 (78.056) Epoch: [44][1130/11272] Time 0.872 (0.801) Data 0.002 (0.004) Loss 1.8665 (2.0329) Prec@1 53.750 (47.722) Prec@5 79.375 (78.060) Epoch: [44][1140/11272] Time 0.730 (0.801) Data 0.001 (0.004) Loss 2.0794 (2.0331) Prec@1 43.750 (47.716) Prec@5 82.500 (78.065) Epoch: [44][1150/11272] Time 0.743 (0.801) Data 0.001 (0.004) Loss 2.1850 (2.0331) Prec@1 45.000 (47.723) Prec@5 75.625 (78.067) Epoch: [44][1160/11272] Time 0.861 (0.801) Data 0.002 (0.004) Loss 1.8327 (2.0333) Prec@1 52.500 (47.717) Prec@5 83.750 (78.058) Epoch: [44][1170/11272] Time 0.849 (0.801) Data 0.001 (0.004) Loss 2.0768 (2.0336) Prec@1 45.000 (47.713) Prec@5 75.625 (78.048) Epoch: [44][1180/11272] Time 0.727 (0.801) Data 0.001 (0.004) Loss 2.1480 (2.0342) Prec@1 41.875 (47.691) Prec@5 76.875 (78.044) Epoch: [44][1190/11272] Time 0.733 (0.801) Data 0.001 (0.004) Loss 1.9659 (2.0342) Prec@1 50.625 (47.698) Prec@5 79.375 (78.050) Epoch: [44][1200/11272] Time 0.855 (0.801) Data 0.001 (0.004) Loss 1.8565 (2.0342) Prec@1 50.625 (47.695) Prec@5 80.000 (78.053) Epoch: [44][1210/11272] Time 0.831 (0.801) Data 0.001 (0.004) Loss 2.1629 (2.0341) Prec@1 43.125 (47.688) Prec@5 76.875 (78.061) Epoch: [44][1220/11272] Time 0.749 (0.800) Data 0.002 (0.004) Loss 2.0013 (2.0352) Prec@1 46.250 (47.669) Prec@5 76.250 (78.039) Epoch: [44][1230/11272] Time 0.887 (0.801) Data 0.001 (0.004) Loss 1.8889 (2.0351) Prec@1 50.625 (47.669) Prec@5 84.375 (78.041) Epoch: [44][1240/11272] Time 0.903 (0.801) Data 0.002 (0.004) Loss 1.9504 (2.0349) Prec@1 57.500 (47.686) Prec@5 78.125 (78.035) Epoch: [44][1250/11272] Time 0.730 (0.800) Data 0.001 (0.004) Loss 2.3923 (2.0352) Prec@1 41.875 (47.688) Prec@5 71.250 (78.036) Epoch: [44][1260/11272] Time 0.738 (0.800) Data 0.002 (0.003) Loss 2.0857 (2.0346) Prec@1 44.375 (47.703) Prec@5 76.875 (78.040) Epoch: [44][1270/11272] Time 0.839 (0.800) Data 0.001 (0.003) Loss 2.0275 (2.0348) Prec@1 48.125 (47.698) Prec@5 75.625 (78.031) Epoch: [44][1280/11272] Time 0.826 (0.800) Data 0.001 (0.003) Loss 2.0792 (2.0347) Prec@1 43.750 (47.695) Prec@5 78.125 (78.035) Epoch: [44][1290/11272] Time 0.729 (0.800) Data 0.001 (0.003) Loss 1.7770 (2.0347) Prec@1 55.625 (47.688) Prec@5 82.500 (78.044) Epoch: [44][1300/11272] Time 0.778 (0.800) Data 0.002 (0.003) Loss 2.0426 (2.0347) Prec@1 43.125 (47.676) Prec@5 77.500 (78.045) Epoch: [44][1310/11272] Time 0.832 (0.800) Data 0.001 (0.003) Loss 2.0156 (2.0347) Prec@1 50.625 (47.681) Prec@5 76.875 (78.044) Epoch: [44][1320/11272] Time 0.833 (0.800) Data 0.001 (0.003) Loss 2.0514 (2.0350) Prec@1 50.625 (47.672) Prec@5 76.875 (78.043) Epoch: [44][1330/11272] Time 0.719 (0.800) Data 0.001 (0.003) Loss 2.1042 (2.0356) Prec@1 42.500 (47.658) Prec@5 78.750 (78.032) Epoch: [44][1340/11272] Time 0.743 (0.800) Data 0.001 (0.003) Loss 2.0092 (2.0352) Prec@1 47.500 (47.679) Prec@5 76.250 (78.031) Epoch: [44][1350/11272] Time 0.832 (0.800) Data 0.001 (0.003) Loss 2.4687 (2.0355) Prec@1 41.250 (47.676) Prec@5 68.125 (78.019) Epoch: [44][1360/11272] Time 0.737 (0.800) Data 0.001 (0.003) Loss 2.1928 (2.0354) Prec@1 43.125 (47.673) Prec@5 76.250 (78.028) Epoch: [44][1370/11272] Time 0.731 (0.800) Data 0.001 (0.003) Loss 2.0416 (2.0357) Prec@1 47.500 (47.665) Prec@5 78.125 (78.026) Epoch: [44][1380/11272] Time 0.837 (0.800) Data 0.002 (0.003) Loss 2.0028 (2.0361) Prec@1 48.125 (47.654) Prec@5 78.125 (78.019) Epoch: [44][1390/11272] Time 0.893 (0.800) Data 0.002 (0.003) Loss 2.0993 (2.0357) Prec@1 46.250 (47.664) Prec@5 80.000 (78.032) Epoch: [44][1400/11272] Time 0.730 (0.800) Data 0.002 (0.003) Loss 2.0432 (2.0361) Prec@1 45.625 (47.652) Prec@5 77.500 (78.037) Epoch: [44][1410/11272] Time 0.719 (0.800) Data 0.001 (0.003) Loss 2.1034 (2.0355) Prec@1 50.625 (47.671) Prec@5 75.000 (78.045) Epoch: [44][1420/11272] Time 0.843 (0.800) Data 0.001 (0.003) Loss 1.9296 (2.0359) Prec@1 46.875 (47.654) Prec@5 83.125 (78.028) Epoch: [44][1430/11272] Time 0.841 (0.800) Data 0.001 (0.003) Loss 1.9566 (2.0359) Prec@1 51.875 (47.654) Prec@5 79.375 (78.029) Epoch: [44][1440/11272] Time 0.731 (0.800) Data 0.001 (0.003) Loss 1.9485 (2.0359) Prec@1 48.750 (47.663) Prec@5 80.625 (78.033) Epoch: [44][1450/11272] Time 0.750 (0.800) Data 0.001 (0.003) Loss 2.0472 (2.0357) Prec@1 46.875 (47.675) Prec@5 78.125 (78.035) Epoch: [44][1460/11272] Time 0.864 (0.800) Data 0.002 (0.003) Loss 2.0432 (2.0362) Prec@1 46.250 (47.663) Prec@5 75.000 (78.015) Epoch: [44][1470/11272] Time 0.825 (0.800) Data 0.001 (0.003) Loss 2.0508 (2.0362) Prec@1 46.250 (47.659) Prec@5 78.125 (78.018) Epoch: [44][1480/11272] Time 0.753 (0.800) Data 0.001 (0.003) Loss 1.9819 (2.0360) Prec@1 52.500 (47.669) Prec@5 76.250 (78.022) Epoch: [44][1490/11272] Time 0.820 (0.800) Data 0.001 (0.003) Loss 1.9826 (2.0362) Prec@1 45.000 (47.660) Prec@5 77.500 (78.010) Epoch: [44][1500/11272] Time 0.886 (0.800) Data 0.002 (0.003) Loss 2.1100 (2.0363) Prec@1 56.250 (47.666) Prec@5 77.500 (78.010) Epoch: [44][1510/11272] Time 0.772 (0.800) Data 0.001 (0.003) Loss 1.9336 (2.0366) Prec@1 51.875 (47.659) Prec@5 80.000 (78.000) Epoch: [44][1520/11272] Time 0.726 (0.800) Data 0.001 (0.003) Loss 1.9141 (2.0364) Prec@1 51.875 (47.666) Prec@5 80.000 (78.002) Epoch: [44][1530/11272] Time 0.851 (0.800) Data 0.002 (0.003) Loss 1.9861 (2.0366) Prec@1 45.625 (47.666) Prec@5 77.500 (77.998) Epoch: [44][1540/11272] Time 0.876 (0.800) Data 0.002 (0.003) Loss 1.7694 (2.0367) Prec@1 54.375 (47.660) Prec@5 81.250 (77.996) Epoch: [44][1550/11272] Time 0.730 (0.800) Data 0.001 (0.003) Loss 2.0328 (2.0368) Prec@1 48.125 (47.663) Prec@5 76.875 (77.994) Epoch: [44][1560/11272] Time 0.773 (0.800) Data 0.001 (0.003) Loss 2.1261 (2.0366) Prec@1 41.875 (47.663) Prec@5 71.875 (77.998) Epoch: [44][1570/11272] Time 0.868 (0.800) Data 0.001 (0.003) Loss 1.8063 (2.0369) Prec@1 53.125 (47.656) Prec@5 83.125 (77.986) Epoch: [44][1580/11272] Time 0.870 (0.800) Data 0.001 (0.003) Loss 2.0919 (2.0373) Prec@1 46.250 (47.640) Prec@5 78.125 (77.984) Epoch: [44][1590/11272] Time 0.738 (0.800) Data 0.002 (0.003) Loss 2.1752 (2.0370) Prec@1 45.625 (47.639) Prec@5 78.125 (77.999) Epoch: [44][1600/11272] Time 0.773 (0.800) Data 0.002 (0.003) Loss 2.0519 (2.0372) Prec@1 48.125 (47.630) Prec@5 78.750 (77.992) Epoch: [44][1610/11272] Time 0.834 (0.800) Data 0.001 (0.003) Loss 2.2563 (2.0374) Prec@1 43.125 (47.620) Prec@5 75.000 (77.995) Epoch: [44][1620/11272] Time 0.737 (0.800) Data 0.003 (0.003) Loss 1.9573 (2.0376) Prec@1 50.000 (47.622) Prec@5 80.000 (77.990) Epoch: [44][1630/11272] Time 0.723 (0.800) Data 0.001 (0.003) Loss 2.0860 (2.0377) Prec@1 46.875 (47.621) Prec@5 76.250 (77.992) Epoch: [44][1640/11272] Time 0.860 (0.800) Data 0.002 (0.003) Loss 2.0501 (2.0374) Prec@1 51.875 (47.622) Prec@5 77.500 (77.993) Epoch: [44][1650/11272] Time 0.829 (0.800) Data 0.001 (0.003) Loss 1.8604 (2.0371) Prec@1 54.375 (47.620) Prec@5 80.625 (78.002) Epoch: [44][1660/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 1.8362 (2.0369) Prec@1 52.500 (47.626) Prec@5 81.875 (78.011) Epoch: [44][1670/11272] Time 0.716 (0.799) Data 0.001 (0.003) Loss 2.0447 (2.0370) Prec@1 45.000 (47.625) Prec@5 78.125 (78.007) Epoch: [44][1680/11272] Time 0.843 (0.800) Data 0.002 (0.003) Loss 1.9654 (2.0366) Prec@1 48.750 (47.626) Prec@5 81.875 (78.019) Epoch: [44][1690/11272] Time 0.834 (0.799) Data 0.001 (0.003) Loss 2.0442 (2.0363) Prec@1 46.875 (47.629) Prec@5 77.500 (78.027) Epoch: [44][1700/11272] Time 0.780 (0.799) Data 0.002 (0.003) Loss 1.9838 (2.0363) Prec@1 50.000 (47.635) Prec@5 80.000 (78.029) Epoch: [44][1710/11272] Time 0.785 (0.800) Data 0.002 (0.003) Loss 2.1860 (2.0363) Prec@1 45.000 (47.629) Prec@5 77.500 (78.034) Epoch: [44][1720/11272] Time 0.935 (0.799) Data 0.001 (0.003) Loss 1.9152 (2.0365) Prec@1 45.000 (47.627) Prec@5 85.000 (78.026) Epoch: [44][1730/11272] Time 0.838 (0.799) Data 0.002 (0.003) Loss 1.9881 (2.0367) Prec@1 46.250 (47.622) Prec@5 78.750 (78.018) Epoch: [44][1740/11272] Time 0.761 (0.799) Data 0.002 (0.003) Loss 2.1776 (2.0360) Prec@1 46.250 (47.634) Prec@5 75.000 (78.029) Epoch: [44][1750/11272] Time 0.820 (0.799) Data 0.001 (0.003) Loss 2.1939 (2.0360) Prec@1 40.000 (47.631) Prec@5 76.875 (78.034) Epoch: [44][1760/11272] Time 0.874 (0.799) Data 0.001 (0.003) Loss 1.9197 (2.0363) Prec@1 49.375 (47.624) Prec@5 80.625 (78.027) Epoch: [44][1770/11272] Time 0.755 (0.799) Data 0.001 (0.003) Loss 1.9047 (2.0362) Prec@1 46.250 (47.624) Prec@5 80.625 (78.029) Epoch: [44][1780/11272] Time 0.723 (0.799) Data 0.001 (0.003) Loss 2.1023 (2.0361) Prec@1 50.625 (47.624) Prec@5 81.875 (78.034) Epoch: [44][1790/11272] Time 0.885 (0.799) Data 0.002 (0.003) Loss 1.8744 (2.0361) Prec@1 52.500 (47.625) Prec@5 81.250 (78.036) Epoch: [44][1800/11272] Time 0.841 (0.799) Data 0.001 (0.003) Loss 2.0406 (2.0358) Prec@1 48.750 (47.630) Prec@5 79.375 (78.043) Epoch: [44][1810/11272] Time 0.722 (0.799) Data 0.001 (0.003) Loss 1.8751 (2.0358) Prec@1 50.000 (47.632) Prec@5 76.875 (78.036) Epoch: [44][1820/11272] Time 0.752 (0.799) Data 0.001 (0.003) Loss 1.9444 (2.0361) Prec@1 50.000 (47.636) Prec@5 76.875 (78.023) Epoch: [44][1830/11272] Time 0.840 (0.799) Data 0.001 (0.003) Loss 2.0993 (2.0362) Prec@1 45.625 (47.634) Prec@5 80.000 (78.022) Epoch: [44][1840/11272] Time 0.850 (0.799) Data 0.001 (0.003) Loss 1.9632 (2.0363) Prec@1 45.625 (47.629) Prec@5 79.375 (78.021) Epoch: [44][1850/11272] Time 0.700 (0.799) Data 0.001 (0.003) Loss 2.1122 (2.0365) Prec@1 40.625 (47.613) Prec@5 78.750 (78.026) Epoch: [44][1860/11272] Time 0.758 (0.799) Data 0.002 (0.003) Loss 2.3547 (2.0365) Prec@1 45.625 (47.606) Prec@5 72.500 (78.032) Epoch: [44][1870/11272] Time 0.833 (0.799) Data 0.001 (0.003) Loss 2.1015 (2.0372) Prec@1 45.625 (47.592) Prec@5 78.125 (78.021) Epoch: [44][1880/11272] Time 0.862 (0.799) Data 0.001 (0.003) Loss 2.1546 (2.0378) Prec@1 46.875 (47.585) Prec@5 75.625 (78.004) Epoch: [44][1890/11272] Time 0.778 (0.799) Data 0.001 (0.003) Loss 2.2643 (2.0376) Prec@1 45.000 (47.589) Prec@5 72.500 (78.012) Epoch: [44][1900/11272] Time 0.862 (0.799) Data 0.001 (0.003) Loss 2.5267 (2.0377) Prec@1 41.875 (47.593) Prec@5 68.125 (78.003) Epoch: [44][1910/11272] Time 0.817 (0.799) Data 0.001 (0.003) Loss 1.9661 (2.0381) Prec@1 45.000 (47.588) Prec@5 80.625 (77.997) Epoch: [44][1920/11272] Time 0.759 (0.799) Data 0.002 (0.003) Loss 2.2457 (2.0380) Prec@1 46.875 (47.597) Prec@5 73.125 (77.995) Epoch: [44][1930/11272] Time 0.763 (0.799) Data 0.002 (0.003) Loss 1.8561 (2.0383) Prec@1 46.250 (47.586) Prec@5 81.875 (77.984) Epoch: [44][1940/11272] Time 0.876 (0.799) Data 0.002 (0.003) Loss 1.8328 (2.0383) Prec@1 46.875 (47.578) Prec@5 81.250 (77.984) Epoch: [44][1950/11272] Time 0.824 (0.799) Data 0.002 (0.003) Loss 2.0680 (2.0384) Prec@1 47.500 (47.583) Prec@5 77.500 (77.984) Epoch: [44][1960/11272] Time 0.761 (0.799) Data 0.002 (0.003) Loss 1.9806 (2.0381) Prec@1 45.625 (47.591) Prec@5 83.750 (77.994) Epoch: [44][1970/11272] Time 0.727 (0.799) Data 0.001 (0.003) Loss 1.7814 (2.0377) Prec@1 53.125 (47.607) Prec@5 80.000 (78.000) Epoch: [44][1980/11272] Time 0.832 (0.799) Data 0.001 (0.003) Loss 2.0012 (2.0379) Prec@1 51.250 (47.599) Prec@5 78.125 (77.997) Epoch: [44][1990/11272] Time 0.853 (0.799) Data 0.001 (0.003) Loss 2.2733 (2.0382) Prec@1 43.750 (47.588) Prec@5 75.625 (77.993) Epoch: [44][2000/11272] Time 0.732 (0.799) Data 0.001 (0.003) Loss 1.9312 (2.0383) Prec@1 49.375 (47.581) Prec@5 78.750 (77.987) Epoch: [44][2010/11272] Time 0.750 (0.799) Data 0.001 (0.003) Loss 2.0383 (2.0381) Prec@1 51.875 (47.586) Prec@5 73.750 (77.990) Epoch: [44][2020/11272] Time 0.869 (0.799) Data 0.002 (0.003) Loss 2.2278 (2.0384) Prec@1 36.875 (47.576) Prec@5 73.125 (77.984) Epoch: [44][2030/11272] Time 0.738 (0.799) Data 0.001 (0.003) Loss 1.8176 (2.0388) Prec@1 52.500 (47.565) Prec@5 82.500 (77.981) Epoch: [44][2040/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 1.8412 (2.0388) Prec@1 51.250 (47.569) Prec@5 83.750 (77.983) Epoch: [44][2050/11272] Time 0.868 (0.799) Data 0.001 (0.003) Loss 1.9744 (2.0389) Prec@1 49.375 (47.559) Prec@5 78.750 (77.982) Epoch: [44][2060/11272] Time 0.840 (0.799) Data 0.001 (0.003) Loss 1.8724 (2.0389) Prec@1 50.000 (47.560) Prec@5 80.625 (77.979) Epoch: [44][2070/11272] Time 0.721 (0.799) Data 0.001 (0.003) Loss 2.3910 (2.0393) Prec@1 38.125 (47.549) Prec@5 70.625 (77.971) Epoch: [44][2080/11272] Time 0.753 (0.799) Data 0.002 (0.003) Loss 2.0055 (2.0394) Prec@1 43.750 (47.541) Prec@5 80.625 (77.968) Epoch: [44][2090/11272] Time 0.867 (0.799) Data 0.002 (0.003) Loss 2.2290 (2.0392) Prec@1 43.750 (47.552) Prec@5 73.125 (77.973) Epoch: [44][2100/11272] Time 0.845 (0.799) Data 0.002 (0.003) Loss 2.0448 (2.0391) Prec@1 43.750 (47.553) Prec@5 80.000 (77.974) Epoch: [44][2110/11272] Time 0.759 (0.799) Data 0.002 (0.003) Loss 2.0866 (2.0390) Prec@1 46.875 (47.557) Prec@5 81.875 (77.975) Epoch: [44][2120/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 1.8702 (2.0394) Prec@1 53.750 (47.552) Prec@5 77.500 (77.963) Epoch: [44][2130/11272] Time 0.846 (0.799) Data 0.001 (0.003) Loss 2.1617 (2.0395) Prec@1 44.375 (47.547) Prec@5 73.750 (77.957) Epoch: [44][2140/11272] Time 0.818 (0.799) Data 0.001 (0.003) Loss 2.6477 (2.0400) Prec@1 38.125 (47.542) Prec@5 66.875 (77.945) Epoch: [44][2150/11272] Time 0.731 (0.799) Data 0.001 (0.003) Loss 1.8338 (2.0398) Prec@1 54.375 (47.545) Prec@5 81.250 (77.956) Epoch: [44][2160/11272] Time 0.858 (0.799) Data 0.002 (0.003) Loss 1.9795 (2.0400) Prec@1 53.125 (47.536) Prec@5 76.250 (77.950) Epoch: [44][2170/11272] Time 0.847 (0.799) Data 0.001 (0.003) Loss 1.9152 (2.0396) Prec@1 49.375 (47.543) Prec@5 77.500 (77.956) Epoch: [44][2180/11272] Time 0.767 (0.799) Data 0.001 (0.003) Loss 1.9761 (2.0397) Prec@1 51.875 (47.542) Prec@5 78.125 (77.956) Epoch: [44][2190/11272] Time 0.735 (0.799) Data 0.001 (0.003) Loss 2.0845 (2.0395) Prec@1 48.750 (47.548) Prec@5 75.625 (77.958) Epoch: [44][2200/11272] Time 0.861 (0.799) Data 0.001 (0.003) Loss 2.1600 (2.0396) Prec@1 46.250 (47.543) Prec@5 76.875 (77.954) Epoch: [44][2210/11272] Time 0.845 (0.798) Data 0.001 (0.003) Loss 2.0382 (2.0396) Prec@1 50.000 (47.548) Prec@5 78.125 (77.952) Epoch: [44][2220/11272] Time 0.768 (0.798) Data 0.001 (0.003) Loss 1.9482 (2.0396) Prec@1 49.375 (47.552) Prec@5 80.625 (77.953) Epoch: [44][2230/11272] Time 0.731 (0.798) Data 0.001 (0.003) Loss 2.1300 (2.0396) Prec@1 48.750 (47.558) Prec@5 78.125 (77.955) Epoch: [44][2240/11272] Time 0.847 (0.798) Data 0.001 (0.003) Loss 2.1621 (2.0398) Prec@1 41.250 (47.550) Prec@5 75.625 (77.950) Epoch: [44][2250/11272] Time 0.826 (0.798) Data 0.001 (0.003) Loss 2.2021 (2.0397) Prec@1 44.375 (47.556) Prec@5 75.000 (77.948) Epoch: [44][2260/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 2.2797 (2.0398) Prec@1 43.125 (47.553) Prec@5 74.375 (77.952) Epoch: [44][2270/11272] Time 0.716 (0.798) Data 0.001 (0.003) Loss 2.0032 (2.0396) Prec@1 50.000 (47.554) Prec@5 78.750 (77.956) Epoch: [44][2280/11272] Time 0.846 (0.798) Data 0.002 (0.003) Loss 1.9587 (2.0397) Prec@1 45.625 (47.548) Prec@5 83.125 (77.957) Epoch: [44][2290/11272] Time 0.728 (0.798) Data 0.003 (0.003) Loss 2.2090 (2.0401) Prec@1 44.375 (47.537) Prec@5 74.375 (77.943) Epoch: [44][2300/11272] Time 0.727 (0.798) Data 0.001 (0.003) Loss 1.9603 (2.0402) Prec@1 56.250 (47.544) Prec@5 81.875 (77.944) Epoch: [44][2310/11272] Time 0.843 (0.798) Data 0.002 (0.003) Loss 2.0671 (2.0401) Prec@1 46.875 (47.541) Prec@5 76.875 (77.947) Epoch: [44][2320/11272] Time 0.832 (0.798) Data 0.001 (0.003) Loss 1.8258 (2.0400) Prec@1 53.750 (47.544) Prec@5 84.375 (77.946) Epoch: [44][2330/11272] Time 0.732 (0.798) Data 0.002 (0.003) Loss 1.9863 (2.0400) Prec@1 52.500 (47.545) Prec@5 78.750 (77.951) Epoch: [44][2340/11272] Time 0.730 (0.798) Data 0.001 (0.003) Loss 2.1164 (2.0402) Prec@1 48.125 (47.539) Prec@5 75.625 (77.947) Epoch: [44][2350/11272] Time 0.846 (0.798) Data 0.002 (0.003) Loss 1.9125 (2.0399) Prec@1 47.500 (47.544) Prec@5 80.625 (77.956) Epoch: [44][2360/11272] Time 0.821 (0.798) Data 0.001 (0.003) Loss 2.1428 (2.0402) Prec@1 48.750 (47.546) Prec@5 73.750 (77.955) Epoch: [44][2370/11272] Time 0.735 (0.798) Data 0.001 (0.003) Loss 2.0452 (2.0405) Prec@1 51.875 (47.542) Prec@5 80.625 (77.951) Epoch: [44][2380/11272] Time 0.734 (0.798) Data 0.001 (0.003) Loss 2.1786 (2.0406) Prec@1 43.125 (47.539) Prec@5 74.375 (77.949) Epoch: [44][2390/11272] Time 0.840 (0.798) Data 0.001 (0.003) Loss 2.2335 (2.0406) Prec@1 46.875 (47.536) Prec@5 71.250 (77.950) Epoch: [44][2400/11272] Time 0.832 (0.798) Data 0.001 (0.003) Loss 2.2675 (2.0405) Prec@1 40.000 (47.536) Prec@5 74.375 (77.949) Epoch: [44][2410/11272] Time 0.734 (0.798) Data 0.001 (0.003) Loss 2.0918 (2.0405) Prec@1 50.625 (47.531) Prec@5 76.250 (77.950) Epoch: [44][2420/11272] Time 0.864 (0.798) Data 0.001 (0.003) Loss 1.9685 (2.0402) Prec@1 50.625 (47.530) Prec@5 80.000 (77.962) Epoch: [44][2430/11272] Time 0.810 (0.798) Data 0.002 (0.003) Loss 2.3215 (2.0403) Prec@1 44.375 (47.528) Prec@5 75.000 (77.959) Epoch: [44][2440/11272] Time 0.734 (0.798) Data 0.002 (0.003) Loss 2.0821 (2.0402) Prec@1 48.750 (47.526) Prec@5 77.500 (77.963) Epoch: [44][2450/11272] Time 0.768 (0.798) Data 0.001 (0.003) Loss 1.9815 (2.0404) Prec@1 53.750 (47.523) Prec@5 77.500 (77.956) Epoch: [44][2460/11272] Time 0.872 (0.798) Data 0.001 (0.003) Loss 2.0300 (2.0406) Prec@1 49.375 (47.516) Prec@5 79.375 (77.954) Epoch: [44][2470/11272] Time 0.811 (0.798) Data 0.002 (0.003) Loss 1.9966 (2.0407) Prec@1 46.875 (47.514) Prec@5 81.250 (77.953) Epoch: [44][2480/11272] Time 0.733 (0.798) Data 0.001 (0.003) Loss 1.8871 (2.0406) Prec@1 49.375 (47.516) Prec@5 83.125 (77.955) Epoch: [44][2490/11272] Time 0.728 (0.798) Data 0.001 (0.003) Loss 2.0127 (2.0406) Prec@1 46.250 (47.510) Prec@5 78.750 (77.957) Epoch: [44][2500/11272] Time 0.862 (0.798) Data 0.002 (0.002) Loss 2.2074 (2.0406) Prec@1 41.250 (47.507) Prec@5 76.875 (77.954) Epoch: [44][2510/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 1.9699 (2.0407) Prec@1 50.000 (47.506) Prec@5 78.125 (77.954) Epoch: [44][2520/11272] Time 0.779 (0.798) Data 0.002 (0.002) Loss 2.1747 (2.0408) Prec@1 48.125 (47.506) Prec@5 76.875 (77.955) Epoch: [44][2530/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 2.1656 (2.0408) Prec@1 37.500 (47.513) Prec@5 76.875 (77.951) Epoch: [44][2540/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.1778 (2.0409) Prec@1 41.875 (47.516) Prec@5 81.875 (77.949) Epoch: [44][2550/11272] Time 0.732 (0.798) Data 0.003 (0.002) Loss 1.8780 (2.0409) Prec@1 52.500 (47.516) Prec@5 81.250 (77.948) Epoch: [44][2560/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 2.1149 (2.0408) Prec@1 43.125 (47.524) Prec@5 78.125 (77.954) Epoch: [44][2570/11272] Time 0.844 (0.798) Data 0.001 (0.002) Loss 1.9439 (2.0409) Prec@1 46.250 (47.516) Prec@5 79.375 (77.954) Epoch: [44][2580/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 2.0367 (2.0409) Prec@1 47.500 (47.516) Prec@5 76.875 (77.956) Epoch: [44][2590/11272] Time 0.711 (0.798) Data 0.001 (0.002) Loss 2.3591 (2.0411) Prec@1 42.500 (47.515) Prec@5 72.500 (77.953) Epoch: [44][2600/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.0085 (2.0411) Prec@1 50.625 (47.516) Prec@5 75.625 (77.947) Epoch: [44][2610/11272] Time 0.863 (0.798) Data 0.001 (0.002) Loss 1.9998 (2.0411) Prec@1 47.500 (47.516) Prec@5 78.125 (77.945) Epoch: [44][2620/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 1.8992 (2.0411) Prec@1 49.375 (47.514) Prec@5 81.250 (77.947) Epoch: [44][2630/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1348 (2.0411) Prec@1 46.250 (47.516) Prec@5 74.375 (77.949) Epoch: [44][2640/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.1790 (2.0412) Prec@1 44.375 (47.511) Prec@5 75.625 (77.950) Epoch: [44][2650/11272] Time 0.846 (0.798) Data 0.001 (0.002) Loss 2.1240 (2.0411) Prec@1 45.000 (47.510) Prec@5 75.625 (77.950) Epoch: [44][2660/11272] Time 0.859 (0.798) Data 0.001 (0.002) Loss 1.9241 (2.0412) Prec@1 45.625 (47.506) Prec@5 78.750 (77.947) Epoch: [44][2670/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 2.0133 (2.0412) Prec@1 49.375 (47.504) Prec@5 78.125 (77.949) Epoch: [44][2680/11272] Time 0.899 (0.798) Data 0.002 (0.002) Loss 1.9753 (2.0411) Prec@1 45.625 (47.499) Prec@5 80.625 (77.952) Epoch: [44][2690/11272] Time 0.854 (0.798) Data 0.001 (0.002) Loss 2.0823 (2.0412) Prec@1 48.125 (47.492) Prec@5 76.875 (77.948) Epoch: [44][2700/11272] Time 0.721 (0.798) Data 0.001 (0.002) Loss 2.1296 (2.0414) Prec@1 45.625 (47.479) Prec@5 75.625 (77.949) Epoch: [44][2710/11272] Time 0.715 (0.798) Data 0.001 (0.002) Loss 2.0406 (2.0416) Prec@1 51.250 (47.471) Prec@5 77.500 (77.943) Epoch: [44][2720/11272] Time 0.860 (0.798) Data 0.001 (0.002) Loss 2.5270 (2.0419) Prec@1 43.750 (47.463) Prec@5 70.000 (77.942) Epoch: [44][2730/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 2.2010 (2.0421) Prec@1 40.625 (47.460) Prec@5 75.000 (77.937) Epoch: [44][2740/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.0588 (2.0419) Prec@1 45.625 (47.462) Prec@5 76.875 (77.942) Epoch: [44][2750/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.1489 (2.0419) Prec@1 42.500 (47.454) Prec@5 78.125 (77.941) Epoch: [44][2760/11272] Time 0.868 (0.798) Data 0.001 (0.002) Loss 2.1576 (2.0424) Prec@1 46.875 (47.439) Prec@5 72.500 (77.937) Epoch: [44][2770/11272] Time 0.818 (0.798) Data 0.001 (0.002) Loss 2.0709 (2.0425) Prec@1 46.250 (47.442) Prec@5 75.625 (77.934) Epoch: [44][2780/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 1.9738 (2.0426) Prec@1 55.000 (47.444) Prec@5 73.125 (77.927) Epoch: [44][2790/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.1922 (2.0424) Prec@1 44.375 (47.446) Prec@5 76.250 (77.930) Epoch: [44][2800/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 1.9453 (2.0422) Prec@1 46.250 (47.456) Prec@5 85.000 (77.931) Epoch: [44][2810/11272] Time 0.820 (0.798) Data 0.002 (0.002) Loss 2.0770 (2.0423) Prec@1 46.875 (47.460) Prec@5 77.500 (77.930) Epoch: [44][2820/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 1.9303 (2.0422) Prec@1 50.000 (47.458) Prec@5 81.875 (77.928) Epoch: [44][2830/11272] Time 0.865 (0.798) Data 0.002 (0.002) Loss 2.1444 (2.0426) Prec@1 47.500 (47.449) Prec@5 73.750 (77.914) Epoch: [44][2840/11272] Time 0.853 (0.797) Data 0.001 (0.002) Loss 2.2266 (2.0428) Prec@1 44.375 (47.447) Prec@5 76.875 (77.911) Epoch: [44][2850/11272] Time 0.705 (0.797) Data 0.001 (0.002) Loss 2.2831 (2.0428) Prec@1 40.625 (47.444) Prec@5 69.375 (77.911) Epoch: [44][2860/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 2.1530 (2.0427) Prec@1 47.500 (47.444) Prec@5 75.000 (77.913) Epoch: [44][2870/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 2.1580 (2.0428) Prec@1 46.875 (47.449) Prec@5 73.750 (77.910) Epoch: [44][2880/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 1.8570 (2.0428) Prec@1 46.875 (47.448) Prec@5 83.125 (77.908) Epoch: [44][2890/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.9428 (2.0428) Prec@1 51.250 (47.451) Prec@5 78.750 (77.907) Epoch: [44][2900/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 1.9975 (2.0428) Prec@1 48.125 (47.446) Prec@5 80.000 (77.908) Epoch: [44][2910/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 2.1526 (2.0427) Prec@1 43.750 (47.445) Prec@5 75.000 (77.912) Epoch: [44][2920/11272] Time 0.892 (0.797) Data 0.001 (0.002) Loss 1.8252 (2.0426) Prec@1 53.125 (47.448) Prec@5 84.375 (77.917) Epoch: [44][2930/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2107 (2.0426) Prec@1 46.250 (47.448) Prec@5 73.125 (77.919) Epoch: [44][2940/11272] Time 0.917 (0.797) Data 0.002 (0.002) Loss 2.0373 (2.0426) Prec@1 45.625 (47.449) Prec@5 79.375 (77.918) Epoch: [44][2950/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.9414 (2.0427) Prec@1 50.000 (47.448) Prec@5 79.375 (77.913) Epoch: [44][2960/11272] Time 0.760 (0.797) Data 0.001 (0.002) Loss 2.1268 (2.0428) Prec@1 45.000 (47.446) Prec@5 74.375 (77.908) Epoch: [44][2970/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.1796 (2.0426) Prec@1 45.625 (47.447) Prec@5 74.375 (77.912) Epoch: [44][2980/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.1680 (2.0428) Prec@1 42.500 (47.444) Prec@5 70.000 (77.908) Epoch: [44][2990/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 1.9989 (2.0428) Prec@1 51.250 (47.445) Prec@5 76.250 (77.905) Epoch: [44][3000/11272] Time 0.761 (0.797) Data 0.001 (0.002) Loss 2.1503 (2.0428) Prec@1 40.625 (47.445) Prec@5 74.375 (77.907) Epoch: [44][3010/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.9075 (2.0427) Prec@1 50.625 (47.451) Prec@5 80.000 (77.908) Epoch: [44][3020/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9027 (2.0429) Prec@1 50.625 (47.446) Prec@5 81.250 (77.907) Epoch: [44][3030/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.9352 (2.0430) Prec@1 45.000 (47.439) Prec@5 79.375 (77.901) Epoch: [44][3040/11272] Time 0.768 (0.797) Data 0.001 (0.002) Loss 1.8351 (2.0427) Prec@1 49.375 (47.445) Prec@5 80.000 (77.904) Epoch: [44][3050/11272] Time 0.792 (0.797) Data 0.002 (0.002) Loss 1.9768 (2.0424) Prec@1 48.125 (47.452) Prec@5 78.750 (77.909) Epoch: [44][3060/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 2.0271 (2.0426) Prec@1 43.750 (47.444) Prec@5 77.500 (77.907) Epoch: [44][3070/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 1.9815 (2.0426) Prec@1 46.875 (47.443) Prec@5 76.250 (77.911) Epoch: [44][3080/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 1.9196 (2.0426) Prec@1 48.750 (47.443) Prec@5 82.500 (77.914) Epoch: [44][3090/11272] Time 0.868 (0.797) Data 0.001 (0.002) Loss 2.0238 (2.0429) Prec@1 46.875 (47.438) Prec@5 80.000 (77.906) Epoch: [44][3100/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.7976 (2.0429) Prec@1 58.750 (47.445) Prec@5 83.750 (77.908) Epoch: [44][3110/11272] Time 0.703 (0.797) Data 0.001 (0.002) Loss 2.0809 (2.0431) Prec@1 41.875 (47.445) Prec@5 76.875 (77.902) Epoch: [44][3120/11272] Time 0.755 (0.797) Data 0.001 (0.002) Loss 2.1917 (2.0430) Prec@1 45.000 (47.450) Prec@5 79.375 (77.903) Epoch: [44][3130/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.0823 (2.0429) Prec@1 47.500 (47.453) Prec@5 76.250 (77.901) Epoch: [44][3140/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 2.0756 (2.0431) Prec@1 49.375 (47.449) Prec@5 76.250 (77.901) Epoch: [44][3150/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.2177 (2.0432) Prec@1 45.000 (47.444) Prec@5 73.750 (77.897) Epoch: [44][3160/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.8815 (2.0432) Prec@1 52.500 (47.442) Prec@5 80.000 (77.896) Epoch: [44][3170/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.8336 (2.0432) Prec@1 49.375 (47.443) Prec@5 85.000 (77.898) Epoch: [44][3180/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.1905 (2.0436) Prec@1 45.625 (47.429) Prec@5 73.750 (77.890) Epoch: [44][3190/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.0541 (2.0435) Prec@1 51.875 (47.436) Prec@5 76.875 (77.893) Epoch: [44][3200/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.0675 (2.0437) Prec@1 45.000 (47.430) Prec@5 78.125 (77.891) Epoch: [44][3210/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.8734 (2.0438) Prec@1 50.625 (47.428) Prec@5 83.750 (77.893) Epoch: [44][3220/11272] Time 0.741 (0.796) Data 0.003 (0.002) Loss 1.9651 (2.0435) Prec@1 51.250 (47.435) Prec@5 80.000 (77.897) Epoch: [44][3230/11272] Time 0.721 (0.796) Data 0.001 (0.002) Loss 1.9573 (2.0434) Prec@1 50.000 (47.441) Prec@5 76.875 (77.900) Epoch: [44][3240/11272] Time 0.842 (0.796) Data 0.001 (0.002) Loss 2.0534 (2.0433) Prec@1 46.875 (47.442) Prec@5 78.750 (77.901) Epoch: [44][3250/11272] Time 0.820 (0.796) Data 0.001 (0.002) Loss 2.1841 (2.0434) Prec@1 45.000 (47.436) Prec@5 75.625 (77.897) Epoch: [44][3260/11272] Time 0.788 (0.796) Data 0.001 (0.002) Loss 2.0048 (2.0435) Prec@1 50.000 (47.433) Prec@5 80.000 (77.896) Epoch: [44][3270/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 1.9851 (2.0437) Prec@1 50.625 (47.429) Prec@5 80.625 (77.892) Epoch: [44][3280/11272] Time 0.839 (0.796) Data 0.001 (0.002) Loss 2.2317 (2.0438) Prec@1 43.750 (47.431) Prec@5 75.000 (77.889) Epoch: [44][3290/11272] Time 0.801 (0.796) Data 0.001 (0.002) Loss 2.0370 (2.0438) Prec@1 47.500 (47.428) Prec@5 74.375 (77.886) Epoch: [44][3300/11272] Time 0.728 (0.796) Data 0.001 (0.002) Loss 2.1509 (2.0437) Prec@1 40.625 (47.432) Prec@5 73.750 (77.884) Epoch: [44][3310/11272] Time 0.716 (0.796) Data 0.001 (0.002) Loss 2.3849 (2.0441) Prec@1 38.125 (47.425) Prec@5 71.250 (77.881) Epoch: [44][3320/11272] Time 0.824 (0.796) Data 0.001 (0.002) Loss 1.8957 (2.0440) Prec@1 50.625 (47.427) Prec@5 79.375 (77.882) Epoch: [44][3330/11272] Time 0.860 (0.796) Data 0.002 (0.002) Loss 2.2952 (2.0441) Prec@1 46.250 (47.428) Prec@5 73.750 (77.880) Epoch: [44][3340/11272] Time 0.745 (0.796) Data 0.001 (0.002) Loss 2.0563 (2.0441) Prec@1 50.625 (47.426) Prec@5 78.750 (77.880) Epoch: [44][3350/11272] Time 0.810 (0.796) Data 0.001 (0.002) Loss 2.3543 (2.0445) Prec@1 50.000 (47.421) Prec@5 75.000 (77.875) Epoch: [44][3360/11272] Time 0.838 (0.796) Data 0.001 (0.002) Loss 1.8369 (2.0443) Prec@1 48.125 (47.420) Prec@5 83.125 (77.878) Epoch: [44][3370/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 1.9002 (2.0444) Prec@1 50.625 (47.419) Prec@5 78.750 (77.878) Epoch: [44][3380/11272] Time 0.734 (0.796) Data 0.001 (0.002) Loss 2.2849 (2.0443) Prec@1 42.500 (47.419) Prec@5 72.500 (77.881) Epoch: [44][3390/11272] Time 0.830 (0.796) Data 0.001 (0.002) Loss 2.1585 (2.0441) Prec@1 38.750 (47.422) Prec@5 78.750 (77.884) Epoch: [44][3400/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 2.1060 (2.0441) Prec@1 41.250 (47.418) Prec@5 75.000 (77.884) Epoch: [44][3410/11272] Time 0.722 (0.796) Data 0.001 (0.002) Loss 2.0668 (2.0442) Prec@1 45.625 (47.418) Prec@5 75.625 (77.878) Epoch: [44][3420/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 2.3020 (2.0443) Prec@1 41.250 (47.414) Prec@5 74.375 (77.876) Epoch: [44][3430/11272] Time 0.839 (0.796) Data 0.001 (0.002) Loss 1.8704 (2.0443) Prec@1 55.000 (47.414) Prec@5 78.750 (77.876) Epoch: [44][3440/11272] Time 0.840 (0.796) Data 0.001 (0.002) Loss 2.2027 (2.0443) Prec@1 42.500 (47.416) Prec@5 74.375 (77.878) Epoch: [44][3450/11272] Time 0.731 (0.796) Data 0.001 (0.002) Loss 2.2587 (2.0445) Prec@1 40.000 (47.407) Prec@5 76.250 (77.876) Epoch: [44][3460/11272] Time 0.745 (0.796) Data 0.001 (0.002) Loss 1.8460 (2.0444) Prec@1 53.125 (47.409) Prec@5 78.750 (77.877) Epoch: [44][3470/11272] Time 0.838 (0.796) Data 0.001 (0.002) Loss 2.1337 (2.0445) Prec@1 46.250 (47.409) Prec@5 78.125 (77.877) Epoch: [44][3480/11272] Time 0.729 (0.796) Data 0.003 (0.002) Loss 1.8342 (2.0443) Prec@1 46.875 (47.413) Prec@5 81.875 (77.882) Epoch: [44][3490/11272] Time 0.727 (0.796) Data 0.001 (0.002) Loss 2.0425 (2.0441) Prec@1 46.875 (47.414) Prec@5 78.750 (77.885) Epoch: [44][3500/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 1.8656 (2.0439) Prec@1 48.125 (47.416) Prec@5 83.750 (77.889) Epoch: [44][3510/11272] Time 0.819 (0.796) Data 0.001 (0.002) Loss 1.9324 (2.0439) Prec@1 51.250 (47.419) Prec@5 80.625 (77.888) Epoch: [44][3520/11272] Time 0.761 (0.796) Data 0.002 (0.002) Loss 1.7632 (2.0440) Prec@1 50.625 (47.413) Prec@5 84.375 (77.885) Epoch: [44][3530/11272] Time 0.720 (0.796) Data 0.001 (0.002) Loss 1.9977 (2.0440) Prec@1 44.375 (47.410) Prec@5 78.125 (77.887) Epoch: [44][3540/11272] Time 0.841 (0.796) Data 0.001 (0.002) Loss 1.7147 (2.0440) Prec@1 52.500 (47.409) Prec@5 81.250 (77.884) Epoch: [44][3550/11272] Time 0.816 (0.796) Data 0.001 (0.002) Loss 2.1186 (2.0440) Prec@1 45.625 (47.408) Prec@5 75.625 (77.885) Epoch: [44][3560/11272] Time 0.727 (0.796) Data 0.001 (0.002) Loss 1.8584 (2.0439) Prec@1 51.875 (47.409) Prec@5 80.625 (77.885) Epoch: [44][3570/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 2.1847 (2.0439) Prec@1 48.125 (47.412) Prec@5 76.250 (77.885) Epoch: [44][3580/11272] Time 0.880 (0.796) Data 0.002 (0.002) Loss 2.0300 (2.0439) Prec@1 43.125 (47.411) Prec@5 83.125 (77.884) Epoch: [44][3590/11272] Time 0.810 (0.796) Data 0.001 (0.002) Loss 2.1862 (2.0439) Prec@1 41.250 (47.408) Prec@5 75.000 (77.885) Epoch: [44][3600/11272] Time 0.717 (0.796) Data 0.001 (0.002) Loss 2.0362 (2.0440) Prec@1 47.500 (47.405) Prec@5 78.750 (77.882) Epoch: [44][3610/11272] Time 0.815 (0.796) Data 0.001 (0.002) Loss 2.2152 (2.0439) Prec@1 48.750 (47.411) Prec@5 74.375 (77.885) Epoch: [44][3620/11272] Time 0.862 (0.796) Data 0.001 (0.002) Loss 2.0419 (2.0438) Prec@1 50.000 (47.416) Prec@5 77.500 (77.886) Epoch: [44][3630/11272] Time 0.714 (0.796) Data 0.001 (0.002) Loss 2.2500 (2.0439) Prec@1 43.125 (47.412) Prec@5 73.750 (77.885) Epoch: [44][3640/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.9632 (2.0439) Prec@1 50.625 (47.414) Prec@5 80.000 (77.882) Epoch: [44][3650/11272] Time 0.833 (0.796) Data 0.001 (0.002) Loss 2.0736 (2.0439) Prec@1 53.750 (47.414) Prec@5 76.875 (77.885) Epoch: [44][3660/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 2.2414 (2.0439) Prec@1 46.250 (47.418) Prec@5 76.875 (77.885) Epoch: [44][3670/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.1170 (2.0441) Prec@1 44.375 (47.415) Prec@5 73.750 (77.883) Epoch: [44][3680/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 1.9678 (2.0441) Prec@1 48.125 (47.411) Prec@5 78.125 (77.883) Epoch: [44][3690/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.3447 (2.0442) Prec@1 43.750 (47.410) Prec@5 71.250 (77.885) Epoch: [44][3700/11272] Time 0.831 (0.795) Data 0.002 (0.002) Loss 1.9125 (2.0443) Prec@1 48.750 (47.407) Prec@5 78.750 (77.881) Epoch: [44][3710/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 2.0813 (2.0442) Prec@1 43.750 (47.403) Prec@5 75.000 (77.881) Epoch: [44][3720/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 2.0202 (2.0444) Prec@1 44.375 (47.399) Prec@5 83.750 (77.881) Epoch: [44][3730/11272] Time 0.838 (0.795) Data 0.002 (0.002) Loss 2.0310 (2.0443) Prec@1 48.125 (47.401) Prec@5 78.125 (77.882) Epoch: [44][3740/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 2.0395 (2.0443) Prec@1 44.375 (47.401) Prec@5 80.000 (77.882) Epoch: [44][3750/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.9873 (2.0441) Prec@1 50.625 (47.405) Prec@5 78.125 (77.882) Epoch: [44][3760/11272] Time 0.813 (0.795) Data 0.001 (0.002) Loss 1.9703 (2.0439) Prec@1 47.500 (47.408) Prec@5 78.750 (77.885) Epoch: [44][3770/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.0712 (2.0438) Prec@1 43.750 (47.413) Prec@5 73.125 (77.887) Epoch: [44][3780/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.8565 (2.0437) Prec@1 48.125 (47.414) Prec@5 82.500 (77.886) Epoch: [44][3790/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.1665 (2.0436) Prec@1 41.875 (47.415) Prec@5 76.875 (77.887) Epoch: [44][3800/11272] Time 0.895 (0.795) Data 0.001 (0.002) Loss 1.9201 (2.0436) Prec@1 47.500 (47.413) Prec@5 76.875 (77.885) Epoch: [44][3810/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 2.1404 (2.0438) Prec@1 48.750 (47.412) Prec@5 76.250 (77.882) Epoch: [44][3820/11272] Time 0.747 (0.795) Data 0.001 (0.002) Loss 1.8225 (2.0438) Prec@1 55.625 (47.413) Prec@5 82.500 (77.885) Epoch: [44][3830/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 1.9949 (2.0438) Prec@1 41.250 (47.411) Prec@5 78.750 (77.886) Epoch: [44][3840/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 2.0678 (2.0436) Prec@1 46.250 (47.415) Prec@5 79.375 (77.889) Epoch: [44][3850/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.0386 (2.0437) Prec@1 43.750 (47.412) Prec@5 75.000 (77.885) Epoch: [44][3860/11272] Time 0.746 (0.795) Data 0.001 (0.002) Loss 1.9412 (2.0438) Prec@1 48.750 (47.409) Prec@5 80.625 (77.883) Epoch: [44][3870/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.2434 (2.0438) Prec@1 45.625 (47.410) Prec@5 74.375 (77.883) Epoch: [44][3880/11272] Time 0.832 (0.795) Data 0.001 (0.002) Loss 1.8647 (2.0438) Prec@1 49.375 (47.412) Prec@5 76.875 (77.882) Epoch: [44][3890/11272] Time 0.752 (0.795) Data 0.001 (0.002) Loss 2.0338 (2.0437) Prec@1 47.500 (47.411) Prec@5 76.875 (77.884) Epoch: [44][3900/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.0569 (2.0437) Prec@1 45.625 (47.413) Prec@5 78.125 (77.882) Epoch: [44][3910/11272] Time 0.879 (0.795) Data 0.001 (0.002) Loss 1.8927 (2.0436) Prec@1 50.000 (47.414) Prec@5 81.875 (77.883) Epoch: [44][3920/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.2450 (2.0438) Prec@1 41.250 (47.410) Prec@5 75.625 (77.881) Epoch: [44][3930/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 1.9793 (2.0437) Prec@1 51.250 (47.409) Prec@5 78.125 (77.881) Epoch: [44][3940/11272] Time 0.746 (0.795) Data 0.001 (0.002) Loss 1.8698 (2.0440) Prec@1 55.625 (47.406) Prec@5 79.375 (77.878) Epoch: [44][3950/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.7952 (2.0438) Prec@1 52.500 (47.410) Prec@5 83.125 (77.879) Epoch: [44][3960/11272] Time 0.863 (0.795) Data 0.003 (0.002) Loss 1.8858 (2.0439) Prec@1 48.750 (47.409) Prec@5 80.000 (77.878) Epoch: [44][3970/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.0419 (2.0440) Prec@1 45.625 (47.405) Prec@5 80.625 (77.879) Epoch: [44][3980/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.4022 (2.0440) Prec@1 35.625 (47.406) Prec@5 69.375 (77.878) Epoch: [44][3990/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 1.8093 (2.0438) Prec@1 53.125 (47.409) Prec@5 80.000 (77.881) Epoch: [44][4000/11272] Time 0.819 (0.795) Data 0.001 (0.002) Loss 1.8894 (2.0439) Prec@1 51.250 (47.407) Prec@5 80.625 (77.881) Epoch: [44][4010/11272] Time 0.742 (0.795) Data 0.001 (0.002) Loss 2.0475 (2.0440) Prec@1 51.875 (47.409) Prec@5 75.000 (77.882) Epoch: [44][4020/11272] Time 0.859 (0.795) Data 0.001 (0.002) Loss 2.1963 (2.0441) Prec@1 43.125 (47.406) Prec@5 73.750 (77.878) Epoch: [44][4030/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 1.9650 (2.0442) Prec@1 50.000 (47.403) Prec@5 78.750 (77.874) Epoch: [44][4040/11272] Time 0.745 (0.795) Data 0.002 (0.002) Loss 2.0040 (2.0444) Prec@1 47.500 (47.400) Prec@5 80.625 (77.872) Epoch: [44][4050/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.1678 (2.0444) Prec@1 50.000 (47.402) Prec@5 74.375 (77.871) Epoch: [44][4060/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 2.2276 (2.0445) Prec@1 48.125 (47.400) Prec@5 73.750 (77.869) Epoch: [44][4070/11272] Time 0.845 (0.795) Data 0.001 (0.002) Loss 2.0040 (2.0445) Prec@1 48.125 (47.397) Prec@5 80.000 (77.868) Epoch: [44][4080/11272] Time 0.740 (0.795) Data 0.001 (0.002) Loss 2.0601 (2.0444) Prec@1 45.625 (47.396) Prec@5 78.750 (77.872) Epoch: [44][4090/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 2.0428 (2.0444) Prec@1 51.250 (47.395) Prec@5 76.250 (77.871) Epoch: [44][4100/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 1.8729 (2.0445) Prec@1 51.875 (47.392) Prec@5 81.250 (77.867) Epoch: [44][4110/11272] Time 0.864 (0.795) Data 0.001 (0.002) Loss 1.7743 (2.0445) Prec@1 51.250 (47.390) Prec@5 81.875 (77.865) Epoch: [44][4120/11272] Time 0.785 (0.795) Data 0.001 (0.002) Loss 2.1900 (2.0446) Prec@1 44.375 (47.390) Prec@5 76.875 (77.863) Epoch: [44][4130/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 2.0853 (2.0446) Prec@1 44.375 (47.392) Prec@5 75.000 (77.865) Epoch: [44][4140/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 2.2677 (2.0447) Prec@1 47.500 (47.387) Prec@5 73.750 (77.864) Epoch: [44][4150/11272] Time 0.737 (0.795) Data 0.003 (0.002) Loss 2.0311 (2.0448) Prec@1 44.375 (47.386) Prec@5 78.125 (77.865) Epoch: [44][4160/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.3154 (2.0449) Prec@1 40.000 (47.384) Prec@5 75.000 (77.863) Epoch: [44][4170/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.8887 (2.0450) Prec@1 45.000 (47.381) Prec@5 80.000 (77.862) Epoch: [44][4180/11272] Time 0.853 (0.795) Data 0.002 (0.002) Loss 2.0974 (2.0450) Prec@1 46.875 (47.378) Prec@5 76.875 (77.863) Epoch: [44][4190/11272] Time 0.754 (0.795) Data 0.002 (0.002) Loss 2.1197 (2.0448) Prec@1 45.625 (47.382) Prec@5 78.125 (77.868) Epoch: [44][4200/11272] Time 0.763 (0.795) Data 0.001 (0.002) Loss 2.1408 (2.0449) Prec@1 44.375 (47.377) Prec@5 76.250 (77.869) Epoch: [44][4210/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 1.8751 (2.0449) Prec@1 55.000 (47.379) Prec@5 80.625 (77.870) Epoch: [44][4220/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.0622 (2.0448) Prec@1 44.375 (47.383) Prec@5 74.375 (77.871) Epoch: [44][4230/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 2.0175 (2.0447) Prec@1 46.875 (47.387) Prec@5 78.125 (77.871) Epoch: [44][4240/11272] Time 0.755 (0.795) Data 0.001 (0.002) Loss 2.3293 (2.0448) Prec@1 41.875 (47.386) Prec@5 73.750 (77.872) Epoch: [44][4250/11272] Time 0.809 (0.795) Data 0.001 (0.002) Loss 2.3083 (2.0447) Prec@1 40.625 (47.385) Prec@5 72.500 (77.873) Epoch: [44][4260/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.0977 (2.0446) Prec@1 40.000 (47.385) Prec@5 75.000 (77.875) Epoch: [44][4270/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 2.1445 (2.0447) Prec@1 42.500 (47.384) Prec@5 76.875 (77.871) Epoch: [44][4280/11272] Time 0.903 (0.795) Data 0.002 (0.002) Loss 1.6765 (2.0447) Prec@1 56.875 (47.384) Prec@5 81.875 (77.871) Epoch: [44][4290/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.0119 (2.0447) Prec@1 50.625 (47.384) Prec@5 78.125 (77.870) Epoch: [44][4300/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 2.1213 (2.0448) Prec@1 45.000 (47.383) Prec@5 78.750 (77.870) Epoch: [44][4310/11272] Time 0.740 (0.795) Data 0.002 (0.002) Loss 1.9878 (2.0446) Prec@1 48.125 (47.386) Prec@5 76.250 (77.871) Epoch: [44][4320/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.0576 (2.0448) Prec@1 48.125 (47.385) Prec@5 75.625 (77.867) Epoch: [44][4330/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.8583 (2.0446) Prec@1 52.500 (47.388) Prec@5 81.250 (77.870) Epoch: [44][4340/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 1.8578 (2.0446) Prec@1 51.875 (47.388) Prec@5 80.000 (77.871) Epoch: [44][4350/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.9648 (2.0446) Prec@1 45.000 (47.387) Prec@5 80.625 (77.872) Epoch: [44][4360/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.3721 (2.0446) Prec@1 43.125 (47.386) Prec@5 70.625 (77.873) Epoch: [44][4370/11272] Time 0.810 (0.795) Data 0.002 (0.002) Loss 2.0375 (2.0447) Prec@1 50.625 (47.383) Prec@5 76.250 (77.872) Epoch: [44][4380/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 2.1250 (2.0447) Prec@1 45.000 (47.386) Prec@5 76.875 (77.873) Epoch: [44][4390/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 2.1261 (2.0448) Prec@1 44.375 (47.384) Prec@5 73.125 (77.869) Epoch: [44][4400/11272] Time 0.889 (0.795) Data 0.001 (0.002) Loss 2.2680 (2.0450) Prec@1 42.500 (47.383) Prec@5 76.250 (77.866) Epoch: [44][4410/11272] Time 0.737 (0.795) Data 0.004 (0.002) Loss 2.0198 (2.0450) Prec@1 48.750 (47.386) Prec@5 74.375 (77.866) Epoch: [44][4420/11272] Time 0.738 (0.795) Data 0.001 (0.002) Loss 2.2501 (2.0451) Prec@1 44.375 (47.381) Prec@5 73.125 (77.864) Epoch: [44][4430/11272] Time 0.855 (0.795) Data 0.002 (0.002) Loss 1.9625 (2.0450) Prec@1 48.125 (47.380) Prec@5 78.750 (77.865) Epoch: [44][4440/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 1.8632 (2.0450) Prec@1 51.875 (47.378) Prec@5 80.000 (77.865) Epoch: [44][4450/11272] Time 0.761 (0.795) Data 0.001 (0.002) Loss 1.8435 (2.0449) Prec@1 53.125 (47.378) Prec@5 81.250 (77.866) Epoch: [44][4460/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 2.0254 (2.0449) Prec@1 49.375 (47.379) Prec@5 79.375 (77.865) Epoch: [44][4470/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 2.0091 (2.0451) Prec@1 54.375 (47.376) Prec@5 78.125 (77.862) Epoch: [44][4480/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 1.8988 (2.0452) Prec@1 50.625 (47.373) Prec@5 81.250 (77.861) Epoch: [44][4490/11272] Time 0.771 (0.795) Data 0.002 (0.002) Loss 2.0397 (2.0453) Prec@1 48.125 (47.373) Prec@5 76.875 (77.860) Epoch: [44][4500/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 1.9795 (2.0454) Prec@1 48.750 (47.370) Prec@5 83.125 (77.858) Epoch: [44][4510/11272] Time 0.884 (0.795) Data 0.002 (0.002) Loss 2.1157 (2.0454) Prec@1 45.625 (47.369) Prec@5 80.000 (77.860) Epoch: [44][4520/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 1.9816 (2.0455) Prec@1 45.000 (47.365) Prec@5 83.125 (77.860) Epoch: [44][4530/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.7543 (2.0456) Prec@1 53.750 (47.361) Prec@5 86.250 (77.860) Epoch: [44][4540/11272] Time 0.850 (0.795) Data 0.001 (0.002) Loss 2.1465 (2.0456) Prec@1 47.500 (47.359) Prec@5 75.000 (77.858) Epoch: [44][4550/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 2.2834 (2.0457) Prec@1 44.375 (47.356) Prec@5 71.250 (77.856) Epoch: [44][4560/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 2.0338 (2.0457) Prec@1 46.875 (47.357) Prec@5 77.500 (77.857) Epoch: [44][4570/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.9565 (2.0457) Prec@1 49.375 (47.358) Prec@5 76.875 (77.856) Epoch: [44][4580/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.1148 (2.0457) Prec@1 47.500 (47.358) Prec@5 75.625 (77.854) Epoch: [44][4590/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 2.3299 (2.0459) Prec@1 45.000 (47.357) Prec@5 75.000 (77.854) Epoch: [44][4600/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0792 (2.0459) Prec@1 46.250 (47.359) Prec@5 76.875 (77.856) Epoch: [44][4610/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 2.0944 (2.0458) Prec@1 49.375 (47.363) Prec@5 76.875 (77.857) Epoch: [44][4620/11272] Time 0.877 (0.795) Data 0.002 (0.002) Loss 2.1933 (2.0458) Prec@1 43.125 (47.360) Prec@5 75.625 (77.854) Epoch: [44][4630/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 1.9494 (2.0458) Prec@1 50.000 (47.358) Prec@5 77.500 (77.857) Epoch: [44][4640/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.0639 (2.0459) Prec@1 46.875 (47.358) Prec@5 76.250 (77.855) Epoch: [44][4650/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 2.0820 (2.0460) Prec@1 50.000 (47.358) Prec@5 77.500 (77.854) Epoch: [44][4660/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 2.0996 (2.0460) Prec@1 43.750 (47.354) Prec@5 76.250 (77.857) Epoch: [44][4670/11272] Time 0.860 (0.795) Data 0.001 (0.002) Loss 1.9305 (2.0460) Prec@1 46.875 (47.351) Prec@5 79.375 (77.855) Epoch: [44][4680/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 2.0521 (2.0460) Prec@1 45.000 (47.352) Prec@5 75.000 (77.852) Epoch: [44][4690/11272] Time 0.819 (0.795) Data 0.001 (0.002) Loss 2.1105 (2.0462) Prec@1 43.125 (47.347) Prec@5 76.875 (77.848) Epoch: [44][4700/11272] Time 0.825 (0.795) Data 0.001 (0.002) Loss 1.8589 (2.0462) Prec@1 50.000 (47.344) Prec@5 81.250 (77.849) Epoch: [44][4710/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 1.9180 (2.0463) Prec@1 50.000 (47.345) Prec@5 80.625 (77.846) Epoch: [44][4720/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.1922 (2.0463) Prec@1 44.375 (47.341) Prec@5 77.500 (77.846) Epoch: [44][4730/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.8683 (2.0463) Prec@1 50.000 (47.343) Prec@5 82.500 (77.848) Epoch: [44][4740/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 2.0268 (2.0465) Prec@1 44.375 (47.337) Prec@5 80.625 (77.845) Epoch: [44][4750/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.8752 (2.0466) Prec@1 52.500 (47.333) Prec@5 83.750 (77.844) Epoch: [44][4760/11272] Time 0.780 (0.795) Data 0.001 (0.002) Loss 2.0056 (2.0467) Prec@1 44.375 (47.329) Prec@5 81.250 (77.844) Epoch: [44][4770/11272] Time 0.811 (0.795) Data 0.001 (0.002) Loss 1.8399 (2.0468) Prec@1 55.000 (47.330) Prec@5 81.250 (77.843) Epoch: [44][4780/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.9212 (2.0467) Prec@1 51.875 (47.328) Prec@5 81.250 (77.845) Epoch: [44][4790/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 2.1177 (2.0468) Prec@1 43.125 (47.324) Prec@5 75.625 (77.844) Epoch: [44][4800/11272] Time 0.765 (0.795) Data 0.001 (0.002) Loss 1.9806 (2.0469) Prec@1 52.500 (47.321) Prec@5 76.250 (77.840) Epoch: [44][4810/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 2.1846 (2.0470) Prec@1 43.125 (47.320) Prec@5 75.625 (77.838) Epoch: [44][4820/11272] Time 0.759 (0.795) Data 0.001 (0.002) Loss 2.2093 (2.0471) Prec@1 43.750 (47.317) Prec@5 75.000 (77.835) Epoch: [44][4830/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 2.1041 (2.0471) Prec@1 47.500 (47.317) Prec@5 75.625 (77.834) Epoch: [44][4840/11272] Time 0.888 (0.795) Data 0.001 (0.002) Loss 2.2614 (2.0471) Prec@1 43.125 (47.317) Prec@5 75.625 (77.834) Epoch: [44][4850/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.0907 (2.0470) Prec@1 41.250 (47.316) Prec@5 79.375 (77.838) Epoch: [44][4860/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 1.9407 (2.0469) Prec@1 52.500 (47.321) Prec@5 82.500 (77.839) Epoch: [44][4870/11272] Time 0.725 (0.795) Data 0.000 (0.002) Loss 2.1772 (2.0470) Prec@1 43.750 (47.321) Prec@5 75.625 (77.837) Epoch: [44][4880/11272] Time 0.867 (0.795) Data 0.001 (0.002) Loss 1.9391 (2.0470) Prec@1 49.375 (47.320) Prec@5 81.875 (77.835) Epoch: [44][4890/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 2.2254 (2.0472) Prec@1 45.625 (47.318) Prec@5 72.500 (77.834) Epoch: [44][4900/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 2.0774 (2.0472) Prec@1 46.875 (47.316) Prec@5 77.500 (77.834) Epoch: [44][4910/11272] Time 0.761 (0.794) Data 0.001 (0.002) Loss 2.1708 (2.0474) Prec@1 40.625 (47.313) Prec@5 76.875 (77.831) Epoch: [44][4920/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.1220 (2.0475) Prec@1 45.000 (47.313) Prec@5 76.250 (77.828) Epoch: [44][4930/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.1118 (2.0474) Prec@1 48.750 (47.312) Prec@5 75.000 (77.830) Epoch: [44][4940/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1678 (2.0476) Prec@1 45.000 (47.311) Prec@5 76.875 (77.826) Epoch: [44][4950/11272] Time 0.790 (0.794) Data 0.001 (0.002) Loss 2.2198 (2.0475) Prec@1 39.375 (47.312) Prec@5 76.250 (77.829) Epoch: [44][4960/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.0079 (2.0476) Prec@1 47.500 (47.305) Prec@5 78.125 (77.827) Epoch: [44][4970/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 2.2214 (2.0476) Prec@1 40.000 (47.306) Prec@5 78.750 (77.828) Epoch: [44][4980/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.2583 (2.0479) Prec@1 46.250 (47.301) Prec@5 73.750 (77.820) Epoch: [44][4990/11272] Time 0.812 (0.794) Data 0.001 (0.002) Loss 2.2690 (2.0479) Prec@1 43.125 (47.301) Prec@5 75.000 (77.820) Epoch: [44][5000/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.8477 (2.0479) Prec@1 51.875 (47.301) Prec@5 76.250 (77.820) Epoch: [44][5010/11272] Time 0.762 (0.794) Data 0.001 (0.002) Loss 1.9814 (2.0479) Prec@1 43.750 (47.299) Prec@5 83.125 (77.820) Epoch: [44][5020/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.9506 (2.0479) Prec@1 49.375 (47.296) Prec@5 80.625 (77.820) Epoch: [44][5030/11272] Time 0.880 (0.794) Data 0.002 (0.002) Loss 2.1962 (2.0481) Prec@1 41.250 (47.292) Prec@5 73.750 (77.818) Epoch: [44][5040/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.9737 (2.0482) Prec@1 44.375 (47.292) Prec@5 80.625 (77.815) Epoch: [44][5050/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.2070 (2.0481) Prec@1 46.875 (47.293) Prec@5 78.125 (77.817) Epoch: [44][5060/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.8708 (2.0481) Prec@1 47.500 (47.291) Prec@5 81.250 (77.813) Epoch: [44][5070/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.1309 (2.0481) Prec@1 46.250 (47.291) Prec@5 76.250 (77.816) Epoch: [44][5080/11272] Time 0.740 (0.794) Data 0.003 (0.002) Loss 1.8613 (2.0480) Prec@1 50.625 (47.290) Prec@5 76.250 (77.817) Epoch: [44][5090/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0602 (2.0481) Prec@1 46.250 (47.289) Prec@5 80.000 (77.815) Epoch: [44][5100/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 1.9358 (2.0481) Prec@1 46.250 (47.289) Prec@5 78.125 (77.814) Epoch: [44][5110/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.0893 (2.0483) Prec@1 44.375 (47.285) Prec@5 78.750 (77.812) Epoch: [44][5120/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.2172 (2.0483) Prec@1 39.375 (47.285) Prec@5 74.375 (77.812) Epoch: [44][5130/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 1.9557 (2.0482) Prec@1 48.750 (47.290) Prec@5 82.500 (77.814) Epoch: [44][5140/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.2788 (2.0483) Prec@1 45.000 (47.288) Prec@5 74.375 (77.815) Epoch: [44][5150/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 1.9513 (2.0483) Prec@1 46.250 (47.287) Prec@5 77.500 (77.811) Epoch: [44][5160/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.3402 (2.0483) Prec@1 41.875 (47.289) Prec@5 73.750 (77.810) Epoch: [44][5170/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.1983 (2.0482) Prec@1 41.875 (47.294) Prec@5 70.000 (77.810) Epoch: [44][5180/11272] Time 0.884 (0.794) Data 0.002 (0.002) Loss 1.9550 (2.0481) Prec@1 53.750 (47.297) Prec@5 77.500 (77.810) Epoch: [44][5190/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 2.1497 (2.0482) Prec@1 41.875 (47.295) Prec@5 74.375 (77.806) Epoch: [44][5200/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.2155 (2.0483) Prec@1 44.375 (47.293) Prec@5 71.875 (77.803) Epoch: [44][5210/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 1.9367 (2.0482) Prec@1 50.000 (47.294) Prec@5 78.125 (77.803) Epoch: [44][5220/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.1069 (2.0483) Prec@1 46.875 (47.293) Prec@5 75.000 (77.799) Epoch: [44][5230/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.1411 (2.0484) Prec@1 44.375 (47.291) Prec@5 73.750 (77.800) Epoch: [44][5240/11272] Time 0.773 (0.794) Data 0.001 (0.002) Loss 2.1210 (2.0483) Prec@1 47.500 (47.289) Prec@5 76.250 (77.800) Epoch: [44][5250/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 1.9290 (2.0484) Prec@1 52.500 (47.287) Prec@5 81.250 (77.799) Epoch: [44][5260/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.1163 (2.0485) Prec@1 43.750 (47.286) Prec@5 76.875 (77.798) Epoch: [44][5270/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 2.0783 (2.0487) Prec@1 50.000 (47.280) Prec@5 78.125 (77.797) Epoch: [44][5280/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 1.9979 (2.0486) Prec@1 48.750 (47.281) Prec@5 76.875 (77.799) Epoch: [44][5290/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.0866 (2.0487) Prec@1 45.000 (47.281) Prec@5 79.375 (77.799) Epoch: [44][5300/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.0950 (2.0487) Prec@1 43.750 (47.278) Prec@5 81.875 (77.798) Epoch: [44][5310/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.0674 (2.0488) Prec@1 45.625 (47.277) Prec@5 79.375 (77.797) Epoch: [44][5320/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.0023 (2.0489) Prec@1 50.625 (47.274) Prec@5 76.250 (77.793) Epoch: [44][5330/11272] Time 0.825 (0.795) Data 0.002 (0.002) Loss 2.1398 (2.0490) Prec@1 41.875 (47.271) Prec@5 77.500 (77.793) Epoch: [44][5340/11272] Time 0.747 (0.794) Data 0.004 (0.002) Loss 2.0593 (2.0491) Prec@1 46.875 (47.267) Prec@5 78.125 (77.791) Epoch: [44][5350/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 2.1733 (2.0492) Prec@1 46.875 (47.265) Prec@5 75.000 (77.789) Epoch: [44][5360/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 1.9828 (2.0492) Prec@1 51.875 (47.265) Prec@5 81.250 (77.788) Epoch: [44][5370/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 1.8764 (2.0492) Prec@1 51.875 (47.265) Prec@5 82.500 (77.790) Epoch: [44][5380/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.1439 (2.0492) Prec@1 48.750 (47.267) Prec@5 75.000 (77.789) Epoch: [44][5390/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.0730 (2.0492) Prec@1 48.125 (47.264) Prec@5 80.000 (77.790) Epoch: [44][5400/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 1.9119 (2.0493) Prec@1 52.500 (47.264) Prec@5 77.500 (77.789) Epoch: [44][5410/11272] Time 0.807 (0.795) Data 0.001 (0.002) Loss 1.8288 (2.0491) Prec@1 55.625 (47.269) Prec@5 81.250 (77.791) Epoch: [44][5420/11272] Time 0.781 (0.795) Data 0.002 (0.002) Loss 2.1734 (2.0492) Prec@1 46.875 (47.268) Prec@5 76.250 (77.793) Epoch: [44][5430/11272] Time 0.715 (0.795) Data 0.002 (0.002) Loss 1.8319 (2.0492) Prec@1 53.125 (47.268) Prec@5 81.875 (77.795) Epoch: [44][5440/11272] Time 0.889 (0.795) Data 0.002 (0.002) Loss 1.8718 (2.0490) Prec@1 53.750 (47.272) Prec@5 81.250 (77.797) Epoch: [44][5450/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 2.0091 (2.0491) Prec@1 48.750 (47.269) Prec@5 78.125 (77.798) Epoch: [44][5460/11272] Time 0.768 (0.795) Data 0.002 (0.002) Loss 1.9857 (2.0492) Prec@1 48.125 (47.265) Prec@5 79.375 (77.795) Epoch: [44][5470/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 2.2819 (2.0492) Prec@1 46.875 (47.265) Prec@5 71.875 (77.794) Epoch: [44][5480/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.0855 (2.0491) Prec@1 46.875 (47.269) Prec@5 79.375 (77.795) Epoch: [44][5490/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.9747 (2.0490) Prec@1 55.000 (47.274) Prec@5 80.625 (77.798) Epoch: [44][5500/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.7883 (2.0489) Prec@1 50.625 (47.274) Prec@5 81.875 (77.799) Epoch: [44][5510/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.9089 (2.0487) Prec@1 50.000 (47.279) Prec@5 79.375 (77.801) Epoch: [44][5520/11272] Time 0.863 (0.795) Data 0.001 (0.002) Loss 1.9009 (2.0487) Prec@1 53.750 (47.278) Prec@5 80.000 (77.801) Epoch: [44][5530/11272] Time 0.765 (0.795) Data 0.003 (0.002) Loss 1.8194 (2.0488) Prec@1 55.000 (47.277) Prec@5 79.375 (77.798) Epoch: [44][5540/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 2.0384 (2.0488) Prec@1 48.125 (47.278) Prec@5 82.500 (77.799) Epoch: [44][5550/11272] Time 0.834 (0.795) Data 0.002 (0.002) Loss 2.2293 (2.0488) Prec@1 41.250 (47.277) Prec@5 72.500 (77.798) Epoch: [44][5560/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 1.9172 (2.0488) Prec@1 53.125 (47.279) Prec@5 77.500 (77.800) Epoch: [44][5570/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.9637 (2.0487) Prec@1 48.750 (47.280) Prec@5 78.125 (77.799) Epoch: [44][5580/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.9698 (2.0487) Prec@1 44.375 (47.278) Prec@5 81.250 (77.798) Epoch: [44][5590/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.0107 (2.0488) Prec@1 49.375 (47.278) Prec@5 72.500 (77.796) Epoch: [44][5600/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.7901 (2.0490) Prec@1 55.000 (47.275) Prec@5 81.875 (77.791) Epoch: [44][5610/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.8014 (2.0490) Prec@1 53.750 (47.274) Prec@5 85.000 (77.792) Epoch: [44][5620/11272] Time 0.876 (0.795) Data 0.001 (0.002) Loss 1.9414 (2.0490) Prec@1 48.125 (47.275) Prec@5 76.875 (77.793) Epoch: [44][5630/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 2.2268 (2.0490) Prec@1 43.750 (47.276) Prec@5 75.625 (77.794) Epoch: [44][5640/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 1.9990 (2.0489) Prec@1 44.375 (47.273) Prec@5 78.750 (77.797) Epoch: [44][5650/11272] Time 0.774 (0.795) Data 0.001 (0.002) Loss 2.0997 (2.0489) Prec@1 43.750 (47.272) Prec@5 78.125 (77.797) Epoch: [44][5660/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.0809 (2.0490) Prec@1 46.875 (47.271) Prec@5 81.875 (77.796) Epoch: [44][5670/11272] Time 0.809 (0.795) Data 0.001 (0.002) Loss 2.0991 (2.0490) Prec@1 48.750 (47.275) Prec@5 75.000 (77.800) Epoch: [44][5680/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 2.2107 (2.0491) Prec@1 42.500 (47.273) Prec@5 75.000 (77.796) Epoch: [44][5690/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.8883 (2.0491) Prec@1 52.500 (47.271) Prec@5 79.375 (77.797) Epoch: [44][5700/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 1.9391 (2.0492) Prec@1 49.375 (47.269) Prec@5 83.750 (77.797) Epoch: [44][5710/11272] Time 0.855 (0.795) Data 0.001 (0.002) Loss 1.9521 (2.0492) Prec@1 48.750 (47.270) Prec@5 80.000 (77.797) Epoch: [44][5720/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 2.0873 (2.0492) Prec@1 45.625 (47.271) Prec@5 78.125 (77.797) Epoch: [44][5730/11272] Time 0.756 (0.795) Data 0.002 (0.002) Loss 2.3596 (2.0493) Prec@1 38.125 (47.269) Prec@5 73.750 (77.797) Epoch: [44][5740/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 2.2945 (2.0494) Prec@1 46.875 (47.268) Prec@5 77.500 (77.795) Epoch: [44][5750/11272] Time 0.766 (0.795) Data 0.002 (0.002) Loss 1.9451 (2.0495) Prec@1 49.375 (47.266) Prec@5 78.125 (77.793) Epoch: [44][5760/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 1.7899 (2.0494) Prec@1 56.250 (47.268) Prec@5 82.500 (77.794) Epoch: [44][5770/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 2.0504 (2.0494) Prec@1 46.250 (47.268) Prec@5 80.000 (77.794) Epoch: [44][5780/11272] Time 0.836 (0.795) Data 0.002 (0.002) Loss 1.9779 (2.0493) Prec@1 51.250 (47.269) Prec@5 77.500 (77.795) Epoch: [44][5790/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.4125 (2.0495) Prec@1 41.875 (47.265) Prec@5 72.500 (77.792) Epoch: [44][5800/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.0571 (2.0496) Prec@1 48.125 (47.263) Prec@5 70.625 (77.788) Epoch: [44][5810/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 2.1728 (2.0496) Prec@1 44.375 (47.265) Prec@5 75.625 (77.788) Epoch: [44][5820/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 2.1669 (2.0496) Prec@1 45.625 (47.266) Prec@5 75.625 (77.790) Epoch: [44][5830/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.0459 (2.0496) Prec@1 50.000 (47.263) Prec@5 76.875 (77.790) Epoch: [44][5840/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9969 (2.0497) Prec@1 44.375 (47.260) Prec@5 80.625 (77.789) Epoch: [44][5850/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.0872 (2.0497) Prec@1 43.125 (47.258) Prec@5 80.625 (77.790) Epoch: [44][5860/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.0121 (2.0497) Prec@1 53.750 (47.256) Prec@5 73.750 (77.788) Epoch: [44][5870/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1084 (2.0496) Prec@1 46.250 (47.257) Prec@5 79.375 (77.788) Epoch: [44][5880/11272] Time 0.813 (0.794) Data 0.001 (0.002) Loss 2.2514 (2.0497) Prec@1 40.625 (47.255) Prec@5 73.125 (77.787) Epoch: [44][5890/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.9628 (2.0497) Prec@1 50.625 (47.257) Prec@5 75.625 (77.786) Epoch: [44][5900/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1291 (2.0496) Prec@1 46.250 (47.255) Prec@5 73.125 (77.786) Epoch: [44][5910/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0170 (2.0497) Prec@1 49.375 (47.256) Prec@5 78.125 (77.786) Epoch: [44][5920/11272] Time 0.902 (0.794) Data 0.001 (0.002) Loss 1.9226 (2.0497) Prec@1 49.375 (47.255) Prec@5 78.750 (77.786) Epoch: [44][5930/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 2.2257 (2.0498) Prec@1 43.125 (47.255) Prec@5 74.375 (77.782) Epoch: [44][5940/11272] Time 0.762 (0.794) Data 0.001 (0.002) Loss 2.0774 (2.0498) Prec@1 46.875 (47.254) Prec@5 75.625 (77.784) Epoch: [44][5950/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 2.0724 (2.0500) Prec@1 50.625 (47.250) Prec@5 76.250 (77.779) Epoch: [44][5960/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.8913 (2.0501) Prec@1 46.875 (47.250) Prec@5 78.125 (77.779) Epoch: [44][5970/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 1.9064 (2.0502) Prec@1 51.875 (47.249) Prec@5 81.250 (77.778) Epoch: [44][5980/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0773 (2.0501) Prec@1 46.250 (47.249) Prec@5 75.625 (77.777) Epoch: [44][5990/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.0918 (2.0501) Prec@1 41.875 (47.250) Prec@5 79.375 (77.778) Epoch: [44][6000/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.0747 (2.0500) Prec@1 43.750 (47.251) Prec@5 80.000 (77.780) Epoch: [44][6010/11272] Time 0.755 (0.794) Data 0.003 (0.002) Loss 1.9700 (2.0501) Prec@1 46.875 (47.248) Prec@5 83.750 (77.780) Epoch: [44][6020/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1047 (2.0500) Prec@1 49.375 (47.246) Prec@5 76.250 (77.781) Epoch: [44][6030/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 1.9105 (2.0501) Prec@1 51.250 (47.244) Prec@5 78.750 (77.779) Epoch: [44][6040/11272] Time 0.877 (0.794) Data 0.002 (0.002) Loss 1.8109 (2.0501) Prec@1 50.000 (47.246) Prec@5 80.000 (77.779) Epoch: [44][6050/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0130 (2.0501) Prec@1 47.500 (47.246) Prec@5 81.250 (77.780) Epoch: [44][6060/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.0481 (2.0501) Prec@1 48.750 (47.246) Prec@5 76.250 (77.779) Epoch: [44][6070/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.1688 (2.0501) Prec@1 36.875 (47.244) Prec@5 77.500 (77.778) Epoch: [44][6080/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9240 (2.0502) Prec@1 53.125 (47.244) Prec@5 80.625 (77.777) Epoch: [44][6090/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.2135 (2.0502) Prec@1 44.375 (47.246) Prec@5 75.625 (77.777) Epoch: [44][6100/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1817 (2.0502) Prec@1 46.875 (47.247) Prec@5 74.375 (77.776) Epoch: [44][6110/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 2.1508 (2.0502) Prec@1 51.250 (47.249) Prec@5 74.375 (77.775) Epoch: [44][6120/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.8608 (2.0501) Prec@1 56.250 (47.252) Prec@5 80.000 (77.778) Epoch: [44][6130/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.0544 (2.0502) Prec@1 45.625 (47.249) Prec@5 78.750 (77.775) Epoch: [44][6140/11272] Time 0.870 (0.794) Data 0.001 (0.002) Loss 1.9291 (2.0503) Prec@1 45.625 (47.248) Prec@5 81.250 (77.772) Epoch: [44][6150/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.0046 (2.0502) Prec@1 53.125 (47.248) Prec@5 78.750 (77.774) Epoch: [44][6160/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.1343 (2.0502) Prec@1 46.875 (47.249) Prec@5 73.125 (77.775) Epoch: [44][6170/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0817 (2.0503) Prec@1 45.625 (47.246) Prec@5 79.375 (77.772) Epoch: [44][6180/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.8203 (2.0502) Prec@1 48.125 (47.247) Prec@5 81.875 (77.774) Epoch: [44][6190/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0605 (2.0502) Prec@1 46.250 (47.248) Prec@5 77.500 (77.776) Epoch: [44][6200/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.2623 (2.0503) Prec@1 46.875 (47.248) Prec@5 73.750 (77.774) Epoch: [44][6210/11272] Time 0.774 (0.794) Data 0.002 (0.002) Loss 2.0319 (2.0504) Prec@1 46.250 (47.245) Prec@5 80.000 (77.773) Epoch: [44][6220/11272] Time 0.860 (0.794) Data 0.001 (0.002) Loss 2.2908 (2.0504) Prec@1 40.000 (47.243) Prec@5 74.375 (77.773) Epoch: [44][6230/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.2504 (2.0506) Prec@1 43.750 (47.240) Prec@5 72.500 (77.769) Epoch: [44][6240/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.1376 (2.0506) Prec@1 48.750 (47.237) Prec@5 73.125 (77.769) Epoch: [44][6250/11272] Time 0.715 (0.794) Data 0.002 (0.002) Loss 1.9547 (2.0505) Prec@1 51.875 (47.238) Prec@5 83.750 (77.772) Epoch: [44][6260/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.1416 (2.0505) Prec@1 50.625 (47.239) Prec@5 75.625 (77.773) Epoch: [44][6270/11272] Time 0.716 (0.794) Data 0.003 (0.002) Loss 2.1713 (2.0505) Prec@1 43.750 (47.238) Prec@5 76.250 (77.770) Epoch: [44][6280/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.9131 (2.0505) Prec@1 51.250 (47.237) Prec@5 81.250 (77.770) Epoch: [44][6290/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 2.0667 (2.0507) Prec@1 44.375 (47.232) Prec@5 76.875 (77.769) Epoch: [44][6300/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0872 (2.0507) Prec@1 46.875 (47.233) Prec@5 76.250 (77.769) Epoch: [44][6310/11272] Time 0.753 (0.794) Data 0.001 (0.002) Loss 2.0068 (2.0508) Prec@1 51.250 (47.231) Prec@5 78.750 (77.768) Epoch: [44][6320/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.3220 (2.0508) Prec@1 43.750 (47.230) Prec@5 76.250 (77.768) Epoch: [44][6330/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.9884 (2.0507) Prec@1 48.125 (47.232) Prec@5 81.250 (77.767) Epoch: [44][6340/11272] Time 0.871 (0.794) Data 0.001 (0.002) Loss 1.9262 (2.0507) Prec@1 49.375 (47.233) Prec@5 80.625 (77.766) Epoch: [44][6350/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.8626 (2.0507) Prec@1 48.750 (47.233) Prec@5 79.375 (77.766) Epoch: [44][6360/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.2548 (2.0508) Prec@1 47.500 (47.235) Prec@5 72.500 (77.764) Epoch: [44][6370/11272] Time 0.862 (0.794) Data 0.001 (0.002) Loss 1.7960 (2.0508) Prec@1 52.500 (47.232) Prec@5 78.750 (77.762) Epoch: [44][6380/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.1199 (2.0508) Prec@1 44.375 (47.231) Prec@5 76.250 (77.763) Epoch: [44][6390/11272] Time 0.744 (0.794) Data 0.003 (0.002) Loss 2.0544 (2.0508) Prec@1 46.250 (47.230) Prec@5 78.125 (77.764) Epoch: [44][6400/11272] Time 0.913 (0.794) Data 0.001 (0.002) Loss 1.9384 (2.0508) Prec@1 50.625 (47.232) Prec@5 79.375 (77.764) Epoch: [44][6410/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 1.8592 (2.0509) Prec@1 51.875 (47.230) Prec@5 83.125 (77.763) Epoch: [44][6420/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9632 (2.0508) Prec@1 51.250 (47.230) Prec@5 81.875 (77.763) Epoch: [44][6430/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.7230 (2.0508) Prec@1 61.250 (47.233) Prec@5 82.500 (77.762) Epoch: [44][6440/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.2507 (2.0509) Prec@1 41.875 (47.235) Prec@5 73.125 (77.760) Epoch: [44][6450/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.0637 (2.0509) Prec@1 42.500 (47.234) Prec@5 80.625 (77.761) Epoch: [44][6460/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.0484 (2.0509) Prec@1 47.500 (47.231) Prec@5 78.125 (77.761) Epoch: [44][6470/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 1.9633 (2.0509) Prec@1 50.000 (47.232) Prec@5 78.750 (77.760) Epoch: [44][6480/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.3593 (2.0509) Prec@1 44.375 (47.231) Prec@5 73.750 (77.761) Epoch: [44][6490/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 1.9203 (2.0509) Prec@1 48.125 (47.232) Prec@5 80.625 (77.762) Epoch: [44][6500/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9983 (2.0509) Prec@1 50.000 (47.233) Prec@5 76.250 (77.760) Epoch: [44][6510/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.2777 (2.0509) Prec@1 44.375 (47.233) Prec@5 76.250 (77.759) Epoch: [44][6520/11272] Time 0.872 (0.794) Data 0.001 (0.002) Loss 2.0043 (2.0510) Prec@1 45.000 (47.232) Prec@5 78.750 (77.757) Epoch: [44][6530/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.0929 (2.0509) Prec@1 43.125 (47.234) Prec@5 75.000 (77.756) Epoch: [44][6540/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9731 (2.0510) Prec@1 51.250 (47.234) Prec@5 80.625 (77.759) Epoch: [44][6550/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.0049 (2.0511) Prec@1 53.125 (47.231) Prec@5 80.000 (77.757) Epoch: [44][6560/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.1176 (2.0513) Prec@1 48.750 (47.230) Prec@5 73.750 (77.753) Epoch: [44][6570/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 2.1732 (2.0513) Prec@1 41.250 (47.230) Prec@5 76.250 (77.754) Epoch: [44][6580/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.9712 (2.0512) Prec@1 50.000 (47.232) Prec@5 77.500 (77.756) Epoch: [44][6590/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.1962 (2.0513) Prec@1 41.250 (47.231) Prec@5 79.375 (77.756) Epoch: [44][6600/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 1.8431 (2.0512) Prec@1 57.500 (47.234) Prec@5 81.875 (77.755) Epoch: [44][6610/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 2.0173 (2.0512) Prec@1 41.875 (47.235) Prec@5 79.375 (77.754) Epoch: [44][6620/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.1228 (2.0514) Prec@1 49.375 (47.234) Prec@5 78.125 (77.753) Epoch: [44][6630/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.3539 (2.0514) Prec@1 41.250 (47.233) Prec@5 70.625 (77.752) Epoch: [44][6640/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.1151 (2.0514) Prec@1 45.000 (47.231) Prec@5 78.125 (77.752) Epoch: [44][6650/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9490 (2.0514) Prec@1 52.500 (47.232) Prec@5 81.250 (77.752) Epoch: [44][6660/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 1.9859 (2.0513) Prec@1 44.375 (47.232) Prec@5 81.250 (77.753) Epoch: [44][6670/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1620 (2.0514) Prec@1 45.625 (47.229) Prec@5 73.750 (77.752) Epoch: [44][6680/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.8571 (2.0514) Prec@1 56.875 (47.232) Prec@5 78.125 (77.753) Epoch: [44][6690/11272] Time 0.802 (0.794) Data 0.002 (0.002) Loss 1.6846 (2.0513) Prec@1 56.875 (47.232) Prec@5 85.000 (77.753) Epoch: [44][6700/11272] Time 0.961 (0.794) Data 0.001 (0.002) Loss 2.2339 (2.0515) Prec@1 44.375 (47.230) Prec@5 75.625 (77.749) Epoch: [44][6710/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.0670 (2.0516) Prec@1 46.250 (47.229) Prec@5 82.500 (77.748) Epoch: [44][6720/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.9887 (2.0515) Prec@1 46.250 (47.232) Prec@5 79.375 (77.748) Epoch: [44][6730/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.2218 (2.0515) Prec@1 45.000 (47.232) Prec@5 75.000 (77.748) Epoch: [44][6740/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.0724 (2.0514) Prec@1 44.375 (47.232) Prec@5 76.250 (77.749) Epoch: [44][6750/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.1788 (2.0514) Prec@1 46.250 (47.233) Prec@5 76.250 (77.747) Epoch: [44][6760/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.9163 (2.0513) Prec@1 48.125 (47.235) Prec@5 80.625 (77.749) Epoch: [44][6770/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.8067 (2.0513) Prec@1 54.375 (47.235) Prec@5 79.375 (77.748) Epoch: [44][6780/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.2633 (2.0515) Prec@1 45.000 (47.230) Prec@5 73.125 (77.746) Epoch: [44][6790/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 2.0945 (2.0515) Prec@1 46.875 (47.228) Prec@5 78.750 (77.748) Epoch: [44][6800/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.1040 (2.0517) Prec@1 46.875 (47.226) Prec@5 73.750 (77.744) Epoch: [44][6810/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1963 (2.0518) Prec@1 43.125 (47.224) Prec@5 73.750 (77.742) Epoch: [44][6820/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 1.8083 (2.0518) Prec@1 52.500 (47.225) Prec@5 81.875 (77.742) Epoch: [44][6830/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0148 (2.0518) Prec@1 46.250 (47.226) Prec@5 76.250 (77.742) Epoch: [44][6840/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0452 (2.0519) Prec@1 48.125 (47.224) Prec@5 77.500 (77.740) Epoch: [44][6850/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.8614 (2.0518) Prec@1 48.750 (47.226) Prec@5 81.250 (77.743) Epoch: [44][6860/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.3589 (2.0518) Prec@1 37.500 (47.226) Prec@5 73.125 (77.745) Epoch: [44][6870/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.2065 (2.0518) Prec@1 45.000 (47.225) Prec@5 75.625 (77.746) Epoch: [44][6880/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.0126 (2.0519) Prec@1 49.375 (47.225) Prec@5 77.500 (77.744) Epoch: [44][6890/11272] Time 0.882 (0.794) Data 0.002 (0.002) Loss 2.2126 (2.0519) Prec@1 43.125 (47.224) Prec@5 75.625 (77.743) Epoch: [44][6900/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.1583 (2.0519) Prec@1 45.000 (47.227) Prec@5 70.625 (77.742) Epoch: [44][6910/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.3219 (2.0520) Prec@1 38.125 (47.224) Prec@5 73.125 (77.740) Epoch: [44][6920/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 2.2577 (2.0520) Prec@1 41.875 (47.225) Prec@5 75.000 (77.741) Epoch: [44][6930/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.0291 (2.0520) Prec@1 53.125 (47.227) Prec@5 76.875 (77.741) Epoch: [44][6940/11272] Time 0.770 (0.794) Data 0.003 (0.002) Loss 2.0183 (2.0521) Prec@1 48.125 (47.224) Prec@5 80.625 (77.740) Epoch: [44][6950/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.0688 (2.0521) Prec@1 43.750 (47.223) Prec@5 78.750 (77.741) Epoch: [44][6960/11272] Time 0.878 (0.794) Data 0.001 (0.002) Loss 2.1043 (2.0522) Prec@1 43.750 (47.223) Prec@5 82.500 (77.741) Epoch: [44][6970/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 2.0290 (2.0521) Prec@1 48.125 (47.225) Prec@5 77.500 (77.741) Epoch: [44][6980/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1743 (2.0522) Prec@1 45.000 (47.223) Prec@5 73.750 (77.740) Epoch: [44][6990/11272] Time 0.706 (0.794) Data 0.001 (0.002) Loss 2.2399 (2.0523) Prec@1 45.000 (47.221) Prec@5 71.875 (77.737) Epoch: [44][7000/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 1.9641 (2.0523) Prec@1 50.625 (47.223) Prec@5 77.500 (77.737) Epoch: [44][7010/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.1471 (2.0523) Prec@1 41.875 (47.224) Prec@5 77.500 (77.739) Epoch: [44][7020/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0215 (2.0522) Prec@1 41.875 (47.225) Prec@5 80.000 (77.741) Epoch: [44][7030/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.9631 (2.0522) Prec@1 51.250 (47.227) Prec@5 80.000 (77.742) Epoch: [44][7040/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1266 (2.0522) Prec@1 46.875 (47.227) Prec@5 76.250 (77.740) Epoch: [44][7050/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 2.0296 (2.0522) Prec@1 45.000 (47.227) Prec@5 78.125 (77.742) Epoch: [44][7060/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9918 (2.0522) Prec@1 49.375 (47.225) Prec@5 78.750 (77.741) Epoch: [44][7070/11272] Time 0.893 (0.794) Data 0.002 (0.002) Loss 1.9590 (2.0522) Prec@1 53.125 (47.226) Prec@5 78.125 (77.741) Epoch: [44][7080/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1595 (2.0523) Prec@1 41.250 (47.224) Prec@5 75.000 (77.740) Epoch: [44][7090/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.9173 (2.0523) Prec@1 51.250 (47.221) Prec@5 79.375 (77.740) Epoch: [44][7100/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.0800 (2.0524) Prec@1 43.125 (47.219) Prec@5 74.375 (77.739) Epoch: [44][7110/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 2.0076 (2.0524) Prec@1 47.500 (47.219) Prec@5 79.375 (77.740) Epoch: [44][7120/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 1.8640 (2.0524) Prec@1 51.875 (47.221) Prec@5 81.250 (77.742) Epoch: [44][7130/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1598 (2.0523) Prec@1 44.375 (47.223) Prec@5 75.625 (77.743) Epoch: [44][7140/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.2421 (2.0523) Prec@1 48.125 (47.224) Prec@5 76.250 (77.743) Epoch: [44][7150/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0020 (2.0523) Prec@1 47.500 (47.224) Prec@5 80.625 (77.741) Epoch: [44][7160/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.2846 (2.0523) Prec@1 43.750 (47.223) Prec@5 73.750 (77.741) Epoch: [44][7170/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 2.2948 (2.0524) Prec@1 41.250 (47.220) Prec@5 74.375 (77.741) Epoch: [44][7180/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.8809 (2.0523) Prec@1 46.250 (47.220) Prec@5 80.625 (77.742) Epoch: [44][7190/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.0426 (2.0524) Prec@1 43.125 (47.218) Prec@5 81.875 (77.742) Epoch: [44][7200/11272] Time 0.756 (0.794) Data 0.003 (0.002) Loss 2.0797 (2.0525) Prec@1 45.000 (47.217) Prec@5 78.750 (77.740) Epoch: [44][7210/11272] Time 0.742 (0.794) Data 0.001 (0.002) Loss 2.0723 (2.0526) Prec@1 50.625 (47.217) Prec@5 75.000 (77.738) Epoch: [44][7220/11272] Time 0.864 (0.794) Data 0.001 (0.002) Loss 2.0363 (2.0525) Prec@1 46.250 (47.217) Prec@5 76.250 (77.739) Epoch: [44][7230/11272] Time 0.811 (0.794) Data 0.002 (0.002) Loss 2.1224 (2.0526) Prec@1 46.875 (47.218) Prec@5 76.250 (77.736) Epoch: [44][7240/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 1.9373 (2.0526) Prec@1 47.500 (47.219) Prec@5 84.375 (77.737) Epoch: [44][7250/11272] Time 0.767 (0.794) Data 0.002 (0.002) Loss 1.8855 (2.0526) Prec@1 47.500 (47.219) Prec@5 81.250 (77.737) Epoch: [44][7260/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 1.8904 (2.0526) Prec@1 48.750 (47.220) Prec@5 82.500 (77.737) Epoch: [44][7270/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.0352 (2.0526) Prec@1 51.875 (47.218) Prec@5 77.500 (77.736) Epoch: [44][7280/11272] Time 0.710 (0.794) Data 0.001 (0.002) Loss 2.2031 (2.0526) Prec@1 42.500 (47.219) Prec@5 73.125 (77.737) Epoch: [44][7290/11272] Time 0.704 (0.794) Data 0.001 (0.002) Loss 1.9952 (2.0525) Prec@1 48.125 (47.220) Prec@5 77.500 (77.739) Epoch: [44][7300/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9131 (2.0526) Prec@1 52.500 (47.220) Prec@5 81.250 (77.737) Epoch: [44][7310/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.9162 (2.0527) Prec@1 49.375 (47.219) Prec@5 78.750 (77.735) Epoch: [44][7320/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9236 (2.0527) Prec@1 50.000 (47.218) Prec@5 80.000 (77.735) Epoch: [44][7330/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.9826 (2.0528) Prec@1 48.750 (47.216) Prec@5 79.375 (77.735) Epoch: [44][7340/11272] Time 0.892 (0.794) Data 0.001 (0.002) Loss 2.3649 (2.0529) Prec@1 42.500 (47.215) Prec@5 70.625 (77.734) Epoch: [44][7350/11272] Time 0.716 (0.794) Data 0.001 (0.002) Loss 2.0651 (2.0528) Prec@1 41.250 (47.215) Prec@5 76.250 (77.734) Epoch: [44][7360/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.0683 (2.0529) Prec@1 47.500 (47.212) Prec@5 75.000 (77.734) Epoch: [44][7370/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 1.8630 (2.0529) Prec@1 51.250 (47.210) Prec@5 81.250 (77.733) Epoch: [44][7380/11272] Time 0.875 (0.794) Data 0.001 (0.002) Loss 1.9294 (2.0529) Prec@1 51.875 (47.210) Prec@5 81.875 (77.734) Epoch: [44][7390/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 2.0153 (2.0529) Prec@1 48.750 (47.210) Prec@5 78.125 (77.733) Epoch: [44][7400/11272] Time 0.807 (0.794) Data 0.001 (0.002) Loss 2.1437 (2.0528) Prec@1 44.375 (47.211) Prec@5 76.250 (77.736) Epoch: [44][7410/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.2488 (2.0528) Prec@1 41.875 (47.212) Prec@5 72.500 (77.736) Epoch: [44][7420/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.3009 (2.0528) Prec@1 38.750 (47.210) Prec@5 70.000 (77.734) Epoch: [44][7430/11272] Time 0.770 (0.794) Data 0.001 (0.002) Loss 2.0384 (2.0529) Prec@1 48.750 (47.210) Prec@5 75.625 (77.733) Epoch: [44][7440/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.1233 (2.0529) Prec@1 48.750 (47.212) Prec@5 76.875 (77.733) Epoch: [44][7450/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 2.1399 (2.0529) Prec@1 45.000 (47.211) Prec@5 75.000 (77.732) Epoch: [44][7460/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.1303 (2.0530) Prec@1 47.500 (47.208) Prec@5 76.875 (77.731) Epoch: [44][7470/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.8386 (2.0529) Prec@1 50.625 (47.208) Prec@5 81.875 (77.733) Epoch: [44][7480/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.3981 (2.0530) Prec@1 38.750 (47.204) Prec@5 71.875 (77.733) Epoch: [44][7490/11272] Time 0.881 (0.794) Data 0.001 (0.002) Loss 2.1800 (2.0530) Prec@1 41.875 (47.201) Prec@5 75.625 (77.733) Epoch: [44][7500/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.1824 (2.0530) Prec@1 45.000 (47.201) Prec@5 76.250 (77.734) Epoch: [44][7510/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.1213 (2.0531) Prec@1 46.250 (47.200) Prec@5 78.750 (77.733) Epoch: [44][7520/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.9040 (2.0531) Prec@1 53.125 (47.200) Prec@5 82.500 (77.733) Epoch: [44][7530/11272] Time 0.900 (0.794) Data 0.001 (0.002) Loss 2.1864 (2.0530) Prec@1 49.375 (47.202) Prec@5 72.500 (77.735) Epoch: [44][7540/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.0259 (2.0531) Prec@1 43.750 (47.199) Prec@5 81.250 (77.732) Epoch: [44][7550/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.8495 (2.0531) Prec@1 51.875 (47.199) Prec@5 80.625 (77.733) Epoch: [44][7560/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.2495 (2.0530) Prec@1 46.250 (47.201) Prec@5 72.500 (77.735) Epoch: [44][7570/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.3092 (2.0531) Prec@1 44.375 (47.199) Prec@5 75.000 (77.734) Epoch: [44][7580/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.0500 (2.0531) Prec@1 41.250 (47.199) Prec@5 79.375 (77.734) Epoch: [44][7590/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0766 (2.0530) Prec@1 48.750 (47.201) Prec@5 77.500 (77.736) Epoch: [44][7600/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9770 (2.0530) Prec@1 45.000 (47.203) Prec@5 79.375 (77.737) Epoch: [44][7610/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 2.2468 (2.0530) Prec@1 42.500 (47.201) Prec@5 76.250 (77.738) Epoch: [44][7620/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 2.0906 (2.0528) Prec@1 48.125 (47.204) Prec@5 76.875 (77.740) Epoch: [44][7630/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 2.0051 (2.0529) Prec@1 45.000 (47.202) Prec@5 78.125 (77.739) Epoch: [44][7640/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 1.9225 (2.0529) Prec@1 48.750 (47.204) Prec@5 76.250 (77.740) Epoch: [44][7650/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.2960 (2.0530) Prec@1 44.375 (47.203) Prec@5 77.500 (77.738) Epoch: [44][7660/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.0706 (2.0529) Prec@1 46.250 (47.206) Prec@5 76.250 (77.739) Epoch: [44][7670/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9343 (2.0528) Prec@1 50.625 (47.209) Prec@5 81.875 (77.741) Epoch: [44][7680/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.1214 (2.0529) Prec@1 46.875 (47.207) Prec@5 75.625 (77.741) Epoch: [44][7690/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.0538 (2.0529) Prec@1 46.250 (47.207) Prec@5 77.500 (77.741) Epoch: [44][7700/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.1902 (2.0529) Prec@1 43.750 (47.207) Prec@5 75.625 (77.740) Epoch: [44][7710/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.2113 (2.0529) Prec@1 41.250 (47.206) Prec@5 71.250 (77.741) Epoch: [44][7720/11272] Time 0.818 (0.794) Data 0.002 (0.002) Loss 2.0301 (2.0529) Prec@1 45.625 (47.205) Prec@5 79.375 (77.741) Epoch: [44][7730/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.8328 (2.0530) Prec@1 53.125 (47.203) Prec@5 78.750 (77.739) Epoch: [44][7740/11272] Time 0.884 (0.794) Data 0.001 (0.002) Loss 2.1753 (2.0530) Prec@1 41.250 (47.200) Prec@5 75.000 (77.739) Epoch: [44][7750/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 2.0837 (2.0530) Prec@1 49.375 (47.200) Prec@5 77.500 (77.738) Epoch: [44][7760/11272] Time 0.768 (0.794) Data 0.001 (0.002) Loss 2.4898 (2.0531) Prec@1 41.250 (47.199) Prec@5 71.250 (77.737) Epoch: [44][7770/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 2.1248 (2.0531) Prec@1 44.375 (47.199) Prec@5 75.000 (77.734) Epoch: [44][7780/11272] Time 0.881 (0.794) Data 0.002 (0.002) Loss 1.9143 (2.0530) Prec@1 50.625 (47.200) Prec@5 83.750 (77.735) Epoch: [44][7790/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.0962 (2.0530) Prec@1 46.875 (47.201) Prec@5 78.125 (77.736) Epoch: [44][7800/11272] Time 0.759 (0.794) Data 0.001 (0.002) Loss 2.0504 (2.0530) Prec@1 48.750 (47.203) Prec@5 77.500 (77.736) Epoch: [44][7810/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 2.0070 (2.0530) Prec@1 50.625 (47.204) Prec@5 78.750 (77.736) Epoch: [44][7820/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.1509 (2.0531) Prec@1 48.750 (47.202) Prec@5 74.375 (77.734) Epoch: [44][7830/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.0367 (2.0532) Prec@1 46.250 (47.197) Prec@5 80.625 (77.732) Epoch: [44][7840/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1716 (2.0532) Prec@1 43.750 (47.199) Prec@5 72.500 (77.732) Epoch: [44][7850/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1475 (2.0533) Prec@1 41.875 (47.197) Prec@5 76.875 (77.731) Epoch: [44][7860/11272] Time 0.872 (0.794) Data 0.001 (0.002) Loss 2.3196 (2.0534) Prec@1 43.750 (47.195) Prec@5 74.375 (77.728) Epoch: [44][7870/11272] Time 0.732 (0.794) Data 0.003 (0.002) Loss 2.0269 (2.0534) Prec@1 48.125 (47.197) Prec@5 76.250 (77.728) Epoch: [44][7880/11272] Time 0.772 (0.794) Data 0.002 (0.002) Loss 2.2747 (2.0534) Prec@1 42.500 (47.195) Prec@5 75.000 (77.727) Epoch: [44][7890/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.2688 (2.0535) Prec@1 40.625 (47.192) Prec@5 71.875 (77.725) Epoch: [44][7900/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.0928 (2.0536) Prec@1 47.500 (47.190) Prec@5 74.375 (77.724) Epoch: [44][7910/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 2.1145 (2.0536) Prec@1 46.875 (47.188) Prec@5 77.500 (77.724) Epoch: [44][7920/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9747 (2.0536) Prec@1 48.125 (47.188) Prec@5 82.500 (77.724) Epoch: [44][7930/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 2.1215 (2.0536) Prec@1 46.250 (47.191) Prec@5 77.500 (77.724) Epoch: [44][7940/11272] Time 0.875 (0.794) Data 0.001 (0.002) Loss 2.0973 (2.0537) Prec@1 47.500 (47.189) Prec@5 74.375 (77.721) Epoch: [44][7950/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9423 (2.0537) Prec@1 45.625 (47.189) Prec@5 82.500 (77.722) Epoch: [44][7960/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1104 (2.0537) Prec@1 42.500 (47.188) Prec@5 76.250 (77.720) Epoch: [44][7970/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.1601 (2.0538) Prec@1 42.500 (47.186) Prec@5 76.875 (77.719) Epoch: [44][7980/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 1.9219 (2.0537) Prec@1 51.250 (47.187) Prec@5 79.375 (77.719) Epoch: [44][7990/11272] Time 0.705 (0.794) Data 0.001 (0.002) Loss 1.8373 (2.0537) Prec@1 50.000 (47.188) Prec@5 80.000 (77.719) Epoch: [44][8000/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.0739 (2.0537) Prec@1 46.875 (47.190) Prec@5 78.125 (77.720) Epoch: [44][8010/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.3795 (2.0537) Prec@1 39.375 (47.187) Prec@5 70.625 (77.718) Epoch: [44][8020/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1187 (2.0537) Prec@1 46.875 (47.189) Prec@5 75.625 (77.718) Epoch: [44][8030/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1635 (2.0537) Prec@1 38.750 (47.190) Prec@5 77.500 (77.718) Epoch: [44][8040/11272] Time 0.909 (0.794) Data 0.001 (0.002) Loss 2.0904 (2.0537) Prec@1 48.750 (47.189) Prec@5 72.500 (77.719) Epoch: [44][8050/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.2154 (2.0538) Prec@1 45.000 (47.187) Prec@5 78.125 (77.717) Epoch: [44][8060/11272] Time 0.764 (0.794) Data 0.002 (0.002) Loss 2.1128 (2.0538) Prec@1 42.500 (47.183) Prec@5 75.625 (77.717) Epoch: [44][8070/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 1.9663 (2.0538) Prec@1 48.125 (47.183) Prec@5 78.125 (77.715) Epoch: [44][8080/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 2.2440 (2.0539) Prec@1 48.750 (47.183) Prec@5 73.750 (77.714) Epoch: [44][8090/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.2848 (2.0539) Prec@1 45.625 (47.184) Prec@5 75.000 (77.715) Epoch: [44][8100/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9805 (2.0539) Prec@1 48.750 (47.186) Prec@5 80.000 (77.715) Epoch: [44][8110/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2163 (2.0540) Prec@1 39.375 (47.185) Prec@5 77.500 (77.713) Epoch: [44][8120/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 2.3779 (2.0541) Prec@1 43.125 (47.184) Prec@5 70.625 (77.710) Epoch: [44][8130/11272] Time 0.726 (0.794) Data 0.003 (0.002) Loss 2.1043 (2.0541) Prec@1 43.750 (47.181) Prec@5 78.125 (77.710) Epoch: [44][8140/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1137 (2.0542) Prec@1 42.500 (47.181) Prec@5 76.250 (77.710) Epoch: [44][8150/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.8307 (2.0543) Prec@1 50.625 (47.180) Prec@5 80.625 (77.708) Epoch: [44][8160/11272] Time 0.870 (0.794) Data 0.001 (0.002) Loss 2.0851 (2.0542) Prec@1 44.375 (47.179) Prec@5 78.750 (77.709) Epoch: [44][8170/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.1917 (2.0543) Prec@1 44.375 (47.177) Prec@5 71.875 (77.707) Epoch: [44][8180/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0325 (2.0543) Prec@1 49.375 (47.179) Prec@5 78.750 (77.708) Epoch: [44][8190/11272] Time 0.890 (0.794) Data 0.002 (0.002) Loss 2.1565 (2.0543) Prec@1 45.625 (47.180) Prec@5 78.750 (77.709) Epoch: [44][8200/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.8708 (2.0542) Prec@1 50.625 (47.180) Prec@5 82.500 (77.708) Epoch: [44][8210/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.1217 (2.0543) Prec@1 42.500 (47.179) Prec@5 80.625 (77.708) Epoch: [44][8220/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.2299 (2.0544) Prec@1 49.375 (47.178) Prec@5 73.750 (77.705) Epoch: [44][8230/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.1905 (2.0544) Prec@1 45.000 (47.177) Prec@5 73.125 (77.705) Epoch: [44][8240/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 2.3009 (2.0544) Prec@1 37.500 (47.176) Prec@5 73.125 (77.705) Epoch: [44][8250/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1531 (2.0545) Prec@1 41.875 (47.174) Prec@5 76.250 (77.703) Epoch: [44][8260/11272] Time 0.918 (0.794) Data 0.001 (0.002) Loss 2.1729 (2.0546) Prec@1 45.000 (47.172) Prec@5 76.250 (77.702) Epoch: [44][8270/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 2.2483 (2.0547) Prec@1 43.750 (47.172) Prec@5 75.625 (77.702) Epoch: [44][8280/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.1998 (2.0546) Prec@1 45.000 (47.174) Prec@5 75.625 (77.702) Epoch: [44][8290/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 2.0303 (2.0547) Prec@1 51.250 (47.174) Prec@5 76.250 (77.700) Epoch: [44][8300/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.1090 (2.0547) Prec@1 46.250 (47.173) Prec@5 79.375 (77.701) Epoch: [44][8310/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1299 (2.0548) Prec@1 47.500 (47.173) Prec@5 76.875 (77.700) Epoch: [44][8320/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.1853 (2.0548) Prec@1 46.875 (47.175) Prec@5 76.250 (77.699) Epoch: [44][8330/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.1470 (2.0548) Prec@1 48.750 (47.176) Prec@5 72.500 (77.698) Epoch: [44][8340/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.9923 (2.0547) Prec@1 48.125 (47.176) Prec@5 78.750 (77.699) Epoch: [44][8350/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.3337 (2.0548) Prec@1 41.875 (47.173) Prec@5 73.125 (77.698) Epoch: [44][8360/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9347 (2.0549) Prec@1 52.500 (47.173) Prec@5 79.375 (77.697) Epoch: [44][8370/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 1.8994 (2.0550) Prec@1 52.500 (47.172) Prec@5 75.625 (77.694) Epoch: [44][8380/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 2.0752 (2.0550) Prec@1 43.125 (47.171) Prec@5 77.500 (77.694) Epoch: [44][8390/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.9907 (2.0550) Prec@1 49.375 (47.172) Prec@5 78.750 (77.695) Epoch: [44][8400/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 2.1651 (2.0550) Prec@1 41.250 (47.171) Prec@5 76.875 (77.695) Epoch: [44][8410/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.0027 (2.0551) Prec@1 45.000 (47.169) Prec@5 81.250 (77.695) Epoch: [44][8420/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.1548 (2.0551) Prec@1 49.375 (47.169) Prec@5 78.125 (77.694) Epoch: [44][8430/11272] Time 0.705 (0.794) Data 0.001 (0.002) Loss 2.0443 (2.0552) Prec@1 46.875 (47.168) Prec@5 78.125 (77.693) Epoch: [44][8440/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0360 (2.0553) Prec@1 44.375 (47.165) Prec@5 77.500 (77.692) Epoch: [44][8450/11272] Time 0.872 (0.794) Data 0.001 (0.002) Loss 2.2150 (2.0553) Prec@1 46.875 (47.167) Prec@5 78.125 (77.692) Epoch: [44][8460/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.9930 (2.0552) Prec@1 48.125 (47.168) Prec@5 77.500 (77.695) Epoch: [44][8470/11272] Time 0.757 (0.794) Data 0.001 (0.002) Loss 2.2471 (2.0551) Prec@1 47.500 (47.170) Prec@5 73.750 (77.695) Epoch: [44][8480/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 2.1578 (2.0552) Prec@1 45.625 (47.169) Prec@5 78.125 (77.695) Epoch: [44][8490/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.0755 (2.0552) Prec@1 41.250 (47.169) Prec@5 80.000 (77.696) Epoch: [44][8500/11272] Time 0.854 (0.794) Data 0.001 (0.002) Loss 1.9301 (2.0551) Prec@1 53.750 (47.170) Prec@5 78.750 (77.695) Epoch: [44][8510/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1573 (2.0552) Prec@1 46.250 (47.169) Prec@5 76.250 (77.694) Epoch: [44][8520/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.1416 (2.0552) Prec@1 45.000 (47.168) Prec@5 77.500 (77.692) Epoch: [44][8530/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.1591 (2.0552) Prec@1 41.875 (47.168) Prec@5 79.375 (77.691) Epoch: [44][8540/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0843 (2.0552) Prec@1 46.250 (47.169) Prec@5 76.875 (77.693) Epoch: [44][8550/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0072 (2.0551) Prec@1 45.000 (47.169) Prec@5 71.875 (77.693) Epoch: [44][8560/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1792 (2.0552) Prec@1 43.125 (47.169) Prec@5 72.500 (77.693) Epoch: [44][8570/11272] Time 0.877 (0.794) Data 0.001 (0.002) Loss 2.1718 (2.0552) Prec@1 46.250 (47.168) Prec@5 71.250 (77.692) Epoch: [44][8580/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9874 (2.0552) Prec@1 46.875 (47.167) Prec@5 81.250 (77.692) Epoch: [44][8590/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.1403 (2.0553) Prec@1 45.625 (47.164) Prec@5 75.000 (77.690) Epoch: [44][8600/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 2.0121 (2.0552) Prec@1 50.625 (47.165) Prec@5 80.625 (77.691) Epoch: [44][8610/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.8672 (2.0552) Prec@1 51.875 (47.165) Prec@5 80.625 (77.691) Epoch: [44][8620/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0520 (2.0552) Prec@1 43.125 (47.164) Prec@5 78.750 (77.691) Epoch: [44][8630/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.0030 (2.0552) Prec@1 48.125 (47.164) Prec@5 82.500 (77.692) Epoch: [44][8640/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.2712 (2.0551) Prec@1 44.375 (47.165) Prec@5 73.750 (77.693) Epoch: [44][8650/11272] Time 0.808 (0.794) Data 0.001 (0.002) Loss 2.0126 (2.0551) Prec@1 49.375 (47.167) Prec@5 79.375 (77.692) Epoch: [44][8660/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.8955 (2.0551) Prec@1 51.250 (47.167) Prec@5 80.625 (77.691) Epoch: [44][8670/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 1.7785 (2.0551) Prec@1 55.000 (47.166) Prec@5 84.375 (77.692) Epoch: [44][8680/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.1409 (2.0551) Prec@1 46.875 (47.167) Prec@5 75.000 (77.691) Epoch: [44][8690/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0620 (2.0551) Prec@1 50.000 (47.166) Prec@5 77.500 (77.691) Epoch: [44][8700/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.1529 (2.0550) Prec@1 43.750 (47.167) Prec@5 71.250 (77.692) Epoch: [44][8710/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.0408 (2.0551) Prec@1 46.250 (47.167) Prec@5 78.125 (77.690) Epoch: [44][8720/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 1.8566 (2.0551) Prec@1 53.125 (47.167) Prec@5 78.750 (77.689) Epoch: [44][8730/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0047 (2.0551) Prec@1 46.250 (47.167) Prec@5 75.625 (77.690) Epoch: [44][8740/11272] Time 0.757 (0.794) Data 0.003 (0.002) Loss 2.2066 (2.0551) Prec@1 45.625 (47.168) Prec@5 76.875 (77.689) Epoch: [44][8750/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.0190 (2.0552) Prec@1 44.375 (47.165) Prec@5 80.625 (77.688) Epoch: [44][8760/11272] Time 0.883 (0.794) Data 0.001 (0.002) Loss 2.0152 (2.0552) Prec@1 45.625 (47.165) Prec@5 78.750 (77.688) Epoch: [44][8770/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.1175 (2.0552) Prec@1 43.750 (47.164) Prec@5 76.250 (77.688) Epoch: [44][8780/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8834 (2.0553) Prec@1 46.875 (47.161) Prec@5 81.875 (77.686) Epoch: [44][8790/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 2.1448 (2.0553) Prec@1 46.875 (47.159) Prec@5 70.000 (77.686) Epoch: [44][8800/11272] Time 0.749 (0.794) Data 0.003 (0.002) Loss 2.1207 (2.0554) Prec@1 48.125 (47.157) Prec@5 74.375 (77.684) Epoch: [44][8810/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.9044 (2.0554) Prec@1 51.875 (47.157) Prec@5 80.625 (77.685) Epoch: [44][8820/11272] Time 0.912 (0.794) Data 0.001 (0.002) Loss 2.1245 (2.0555) Prec@1 44.375 (47.155) Prec@5 78.125 (77.684) Epoch: [44][8830/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.1526 (2.0556) Prec@1 46.875 (47.154) Prec@5 76.250 (77.684) Epoch: [44][8840/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.0727 (2.0557) Prec@1 45.625 (47.151) Prec@5 76.250 (77.682) Epoch: [44][8850/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.1860 (2.0556) Prec@1 39.375 (47.149) Prec@5 80.000 (77.683) Epoch: [44][8860/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.7918 (2.0556) Prec@1 54.375 (47.150) Prec@5 81.250 (77.684) Epoch: [44][8870/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.9783 (2.0556) Prec@1 45.000 (47.150) Prec@5 80.625 (77.683) Epoch: [44][8880/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0193 (2.0556) Prec@1 48.125 (47.150) Prec@5 81.875 (77.686) Epoch: [44][8890/11272] Time 0.781 (0.794) Data 0.002 (0.002) Loss 2.3681 (2.0556) Prec@1 38.750 (47.150) Prec@5 73.750 (77.688) Epoch: [44][8900/11272] Time 0.897 (0.794) Data 0.002 (0.002) Loss 2.0599 (2.0556) Prec@1 42.500 (47.148) Prec@5 76.875 (77.686) Epoch: [44][8910/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0455 (2.0557) Prec@1 46.875 (47.147) Prec@5 80.000 (77.685) Epoch: [44][8920/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.0181 (2.0556) Prec@1 43.125 (47.148) Prec@5 73.750 (77.685) Epoch: [44][8930/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.7795 (2.0557) Prec@1 50.000 (47.147) Prec@5 82.500 (77.685) Epoch: [44][8940/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1570 (2.0557) Prec@1 47.500 (47.149) Prec@5 77.500 (77.685) Epoch: [44][8950/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.9389 (2.0557) Prec@1 48.750 (47.148) Prec@5 78.750 (77.682) Epoch: [44][8960/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.0414 (2.0558) Prec@1 48.125 (47.146) Prec@5 80.000 (77.681) Epoch: [44][8970/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 2.3309 (2.0559) Prec@1 37.500 (47.145) Prec@5 68.125 (77.678) Epoch: [44][8980/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.1095 (2.0559) Prec@1 45.625 (47.145) Prec@5 75.625 (77.678) Epoch: [44][8990/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.9722 (2.0559) Prec@1 47.500 (47.148) Prec@5 78.750 (77.679) Epoch: [44][9000/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 1.9120 (2.0558) Prec@1 45.625 (47.150) Prec@5 84.375 (77.681) Epoch: [44][9010/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.9674 (2.0557) Prec@1 46.250 (47.150) Prec@5 81.250 (77.683) Epoch: [44][9020/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 1.8941 (2.0557) Prec@1 51.875 (47.153) Prec@5 85.000 (77.684) Epoch: [44][9030/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0358 (2.0557) Prec@1 45.625 (47.154) Prec@5 80.000 (77.683) Epoch: [44][9040/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.1204 (2.0558) Prec@1 45.625 (47.152) Prec@5 75.625 (77.680) Epoch: [44][9050/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.2487 (2.0558) Prec@1 40.000 (47.152) Prec@5 74.375 (77.680) Epoch: [44][9060/11272] Time 0.739 (0.794) Data 0.003 (0.002) Loss 2.1225 (2.0558) Prec@1 47.500 (47.152) Prec@5 75.625 (77.682) Epoch: [44][9070/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1423 (2.0558) Prec@1 41.875 (47.151) Prec@5 76.250 (77.681) Epoch: [44][9080/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.9034 (2.0558) Prec@1 50.625 (47.150) Prec@5 80.000 (77.680) Epoch: [44][9090/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9233 (2.0559) Prec@1 51.250 (47.150) Prec@5 81.875 (77.680) Epoch: [44][9100/11272] Time 0.765 (0.794) Data 0.001 (0.002) Loss 2.0432 (2.0559) Prec@1 45.000 (47.150) Prec@5 79.375 (77.680) Epoch: [44][9110/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.1314 (2.0559) Prec@1 43.750 (47.149) Prec@5 76.250 (77.679) Epoch: [44][9120/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.2621 (2.0560) Prec@1 41.875 (47.148) Prec@5 79.375 (77.679) Epoch: [44][9130/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.0449 (2.0560) Prec@1 51.250 (47.149) Prec@5 75.000 (77.678) Epoch: [44][9140/11272] Time 0.766 (0.794) Data 0.002 (0.002) Loss 2.2205 (2.0560) Prec@1 45.625 (47.149) Prec@5 71.250 (77.677) Epoch: [44][9150/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.1359 (2.0560) Prec@1 44.375 (47.150) Prec@5 75.625 (77.676) Epoch: [44][9160/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.8982 (2.0561) Prec@1 50.625 (47.150) Prec@5 82.500 (77.677) Epoch: [44][9170/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 2.0232 (2.0560) Prec@1 46.250 (47.152) Prec@5 80.625 (77.679) Epoch: [44][9180/11272] Time 0.757 (0.794) Data 0.001 (0.002) Loss 2.0846 (2.0559) Prec@1 44.375 (47.154) Prec@5 78.750 (77.679) Epoch: [44][9190/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 1.8366 (2.0559) Prec@1 53.125 (47.154) Prec@5 80.625 (77.680) Epoch: [44][9200/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.0864 (2.0561) Prec@1 48.125 (47.152) Prec@5 77.500 (77.677) Epoch: [44][9210/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.1710 (2.0561) Prec@1 40.000 (47.148) Prec@5 73.125 (77.677) Epoch: [44][9220/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 1.9988 (2.0561) Prec@1 46.250 (47.149) Prec@5 81.250 (77.677) Epoch: [44][9230/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0463 (2.0561) Prec@1 49.375 (47.150) Prec@5 79.375 (77.679) Epoch: [44][9240/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 1.9461 (2.0561) Prec@1 49.375 (47.152) Prec@5 74.375 (77.678) Epoch: [44][9250/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1525 (2.0561) Prec@1 45.625 (47.152) Prec@5 75.000 (77.677) Epoch: [44][9260/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0145 (2.0561) Prec@1 48.125 (47.153) Prec@5 80.625 (77.677) Epoch: [44][9270/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 1.8407 (2.0560) Prec@1 53.750 (47.154) Prec@5 80.625 (77.678) Epoch: [44][9280/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.9831 (2.0560) Prec@1 46.250 (47.152) Prec@5 80.000 (77.678) Epoch: [44][9290/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.1498 (2.0561) Prec@1 47.500 (47.151) Prec@5 72.500 (77.676) Epoch: [44][9300/11272] Time 0.759 (0.794) Data 0.001 (0.002) Loss 2.0003 (2.0561) Prec@1 46.250 (47.151) Prec@5 78.125 (77.676) Epoch: [44][9310/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 2.1196 (2.0562) Prec@1 45.625 (47.148) Prec@5 78.750 (77.675) Epoch: [44][9320/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 1.9279 (2.0562) Prec@1 47.500 (47.147) Prec@5 81.875 (77.674) Epoch: [44][9330/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9948 (2.0563) Prec@1 50.625 (47.147) Prec@5 76.875 (77.672) Epoch: [44][9340/11272] Time 0.868 (0.794) Data 0.001 (0.002) Loss 2.1553 (2.0564) Prec@1 45.000 (47.144) Prec@5 77.500 (77.672) Epoch: [44][9350/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.8781 (2.0564) Prec@1 53.750 (47.142) Prec@5 80.000 (77.672) Epoch: [44][9360/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0744 (2.0563) Prec@1 49.375 (47.142) Prec@5 78.125 (77.674) Epoch: [44][9370/11272] Time 0.778 (0.794) Data 0.002 (0.002) Loss 2.1073 (2.0563) Prec@1 45.000 (47.141) Prec@5 75.625 (77.673) Epoch: [44][9380/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.1069 (2.0564) Prec@1 46.875 (47.139) Prec@5 73.125 (77.673) Epoch: [44][9390/11272] Time 0.877 (0.794) Data 0.002 (0.002) Loss 1.7828 (2.0564) Prec@1 51.250 (47.140) Prec@5 81.250 (77.673) Epoch: [44][9400/11272] Time 0.781 (0.794) Data 0.001 (0.002) Loss 1.9274 (2.0564) Prec@1 51.250 (47.140) Prec@5 77.500 (77.672) Epoch: [44][9410/11272] Time 0.779 (0.794) Data 0.002 (0.002) Loss 2.3301 (2.0564) Prec@1 39.375 (47.138) Prec@5 73.125 (77.671) Epoch: [44][9420/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.9826 (2.0564) Prec@1 48.750 (47.139) Prec@5 76.250 (77.670) Epoch: [44][9430/11272] Time 0.874 (0.794) Data 0.002 (0.002) Loss 2.1099 (2.0564) Prec@1 44.375 (47.138) Prec@5 77.500 (77.670) Epoch: [44][9440/11272] Time 0.752 (0.794) Data 0.001 (0.002) Loss 2.0214 (2.0564) Prec@1 50.625 (47.138) Prec@5 78.750 (77.671) Epoch: [44][9450/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.2129 (2.0564) Prec@1 40.625 (47.138) Prec@5 76.875 (77.671) Epoch: [44][9460/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 1.9630 (2.0564) Prec@1 48.750 (47.138) Prec@5 77.500 (77.672) Epoch: [44][9470/11272] Time 0.774 (0.794) Data 0.002 (0.002) Loss 2.1838 (2.0564) Prec@1 45.000 (47.140) Prec@5 74.375 (77.672) Epoch: [44][9480/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 1.9535 (2.0564) Prec@1 50.000 (47.139) Prec@5 75.625 (77.672) Epoch: [44][9490/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.1936 (2.0565) Prec@1 48.125 (47.138) Prec@5 76.875 (77.670) Epoch: [44][9500/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.1048 (2.0564) Prec@1 48.750 (47.139) Prec@5 76.250 (77.671) Epoch: [44][9510/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.1628 (2.0564) Prec@1 41.875 (47.137) Prec@5 74.375 (77.672) Epoch: [44][9520/11272] Time 0.706 (0.794) Data 0.001 (0.002) Loss 2.3848 (2.0564) Prec@1 37.500 (47.136) Prec@5 73.750 (77.671) Epoch: [44][9530/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 2.0594 (2.0564) Prec@1 44.375 (47.135) Prec@5 74.375 (77.671) Epoch: [44][9540/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.0239 (2.0565) Prec@1 47.500 (47.134) Prec@5 76.250 (77.671) Epoch: [44][9550/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.2122 (2.0565) Prec@1 41.250 (47.133) Prec@5 72.500 (77.670) Epoch: [44][9560/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0396 (2.0566) Prec@1 48.750 (47.131) Prec@5 80.000 (77.668) Epoch: [44][9570/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 1.8848 (2.0566) Prec@1 48.125 (47.131) Prec@5 78.125 (77.668) Epoch: [44][9580/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.7776 (2.0566) Prec@1 50.000 (47.132) Prec@5 81.250 (77.669) Epoch: [44][9590/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9499 (2.0566) Prec@1 47.500 (47.132) Prec@5 78.125 (77.669) Epoch: [44][9600/11272] Time 0.880 (0.795) Data 0.001 (0.002) Loss 2.0962 (2.0566) Prec@1 47.500 (47.129) Prec@5 79.375 (77.668) Epoch: [44][9610/11272] Time 0.833 (0.795) Data 0.002 (0.002) Loss 2.0436 (2.0567) Prec@1 46.875 (47.129) Prec@5 78.125 (77.668) Epoch: [44][9620/11272] Time 0.765 (0.795) Data 0.002 (0.002) Loss 2.0553 (2.0568) Prec@1 45.625 (47.127) Prec@5 76.875 (77.666) Epoch: [44][9630/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 2.3481 (2.0568) Prec@1 45.625 (47.128) Prec@5 70.000 (77.666) Epoch: [44][9640/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.0843 (2.0568) Prec@1 46.250 (47.128) Prec@5 78.125 (77.665) Epoch: [44][9650/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.9526 (2.0568) Prec@1 50.000 (47.130) Prec@5 84.375 (77.667) Epoch: [44][9660/11272] Time 0.751 (0.795) Data 0.001 (0.002) Loss 2.1096 (2.0568) Prec@1 40.625 (47.129) Prec@5 78.125 (77.668) Epoch: [44][9670/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.8390 (2.0568) Prec@1 50.000 (47.127) Prec@5 82.500 (77.667) Epoch: [44][9680/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0337 (2.0568) Prec@1 43.125 (47.128) Prec@5 80.625 (77.668) Epoch: [44][9690/11272] Time 0.828 (0.794) Data 0.001 (0.002) Loss 1.9229 (2.0567) Prec@1 48.750 (47.130) Prec@5 78.750 (77.670) Epoch: [44][9700/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0603 (2.0568) Prec@1 41.875 (47.128) Prec@5 76.875 (77.668) Epoch: [44][9710/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.1505 (2.0568) Prec@1 50.000 (47.128) Prec@5 75.000 (77.668) Epoch: [44][9720/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9513 (2.0568) Prec@1 49.375 (47.127) Prec@5 80.000 (77.667) Epoch: [44][9730/11272] Time 0.721 (0.794) Data 0.003 (0.002) Loss 2.1012 (2.0569) Prec@1 45.625 (47.125) Prec@5 75.000 (77.666) Epoch: [44][9740/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.0684 (2.0568) Prec@1 48.750 (47.125) Prec@5 74.375 (77.665) Epoch: [44][9750/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 2.0638 (2.0568) Prec@1 41.250 (47.125) Prec@5 78.125 (77.665) Epoch: [44][9760/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 2.1650 (2.0568) Prec@1 46.875 (47.125) Prec@5 76.250 (77.665) Epoch: [44][9770/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.0314 (2.0568) Prec@1 47.500 (47.125) Prec@5 75.000 (77.665) Epoch: [44][9780/11272] Time 0.751 (0.795) Data 0.001 (0.002) Loss 1.9441 (2.0568) Prec@1 48.750 (47.126) Prec@5 80.625 (77.666) Epoch: [44][9790/11272] Time 0.867 (0.795) Data 0.002 (0.002) Loss 2.1532 (2.0569) Prec@1 45.625 (47.124) Prec@5 78.750 (77.664) Epoch: [44][9800/11272] Time 0.858 (0.795) Data 0.002 (0.002) Loss 2.0797 (2.0569) Prec@1 48.750 (47.125) Prec@5 78.125 (77.663) Epoch: [44][9810/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 2.1706 (2.0569) Prec@1 44.375 (47.125) Prec@5 75.625 (77.664) Epoch: [44][9820/11272] Time 0.752 (0.795) Data 0.001 (0.002) Loss 1.8418 (2.0569) Prec@1 51.875 (47.125) Prec@5 83.125 (77.664) Epoch: [44][9830/11272] Time 0.834 (0.795) Data 0.002 (0.002) Loss 2.1634 (2.0570) Prec@1 42.500 (47.123) Prec@5 75.625 (77.662) Epoch: [44][9840/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.3594 (2.0571) Prec@1 42.500 (47.122) Prec@5 71.250 (77.660) Epoch: [44][9850/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 1.7900 (2.0570) Prec@1 50.000 (47.123) Prec@5 83.125 (77.662) Epoch: [44][9860/11272] Time 0.931 (0.795) Data 0.001 (0.002) Loss 2.0696 (2.0570) Prec@1 55.625 (47.123) Prec@5 76.250 (77.661) Epoch: [44][9870/11272] Time 0.893 (0.795) Data 0.002 (0.002) Loss 1.9062 (2.0569) Prec@1 46.875 (47.125) Prec@5 80.625 (77.662) Epoch: [44][9880/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.8955 (2.0569) Prec@1 52.500 (47.126) Prec@5 80.625 (77.663) Epoch: [44][9890/11272] Time 0.718 (0.795) Data 0.001 (0.002) Loss 1.9286 (2.0569) Prec@1 53.125 (47.127) Prec@5 83.125 (77.662) Epoch: [44][9900/11272] Time 0.849 (0.795) Data 0.001 (0.002) Loss 2.1263 (2.0569) Prec@1 47.500 (47.127) Prec@5 76.875 (77.661) Epoch: [44][9910/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.0327 (2.0569) Prec@1 49.375 (47.127) Prec@5 77.500 (77.661) Epoch: [44][9920/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1244 (2.0570) Prec@1 41.250 (47.126) Prec@5 77.500 (77.661) Epoch: [44][9930/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.1656 (2.0570) Prec@1 50.000 (47.126) Prec@5 75.625 (77.660) Epoch: [44][9940/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.0834 (2.0570) Prec@1 43.750 (47.125) Prec@5 77.500 (77.659) Epoch: [44][9950/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 1.8082 (2.0571) Prec@1 49.375 (47.126) Prec@5 82.500 (77.659) Epoch: [44][9960/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 2.2382 (2.0570) Prec@1 43.750 (47.125) Prec@5 73.125 (77.658) Epoch: [44][9970/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9553 (2.0571) Prec@1 51.875 (47.124) Prec@5 79.375 (77.656) Epoch: [44][9980/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 1.9164 (2.0572) Prec@1 54.375 (47.125) Prec@5 78.750 (77.654) Epoch: [44][9990/11272] Time 0.734 (0.794) Data 0.004 (0.002) Loss 1.9868 (2.0573) Prec@1 46.250 (47.124) Prec@5 76.875 (77.653) Epoch: [44][10000/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 1.9999 (2.0572) Prec@1 48.750 (47.125) Prec@5 76.875 (77.654) Epoch: [44][10010/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 2.2259 (2.0573) Prec@1 41.250 (47.122) Prec@5 74.375 (77.653) Epoch: [44][10020/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.1315 (2.0573) Prec@1 51.250 (47.123) Prec@5 75.000 (77.652) Epoch: [44][10030/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0272 (2.0573) Prec@1 47.500 (47.124) Prec@5 78.750 (77.652) Epoch: [44][10040/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.7796 (2.0573) Prec@1 55.625 (47.125) Prec@5 80.625 (77.652) Epoch: [44][10050/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.2862 (2.0573) Prec@1 40.625 (47.121) Prec@5 73.125 (77.651) Epoch: [44][10060/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.2313 (2.0573) Prec@1 43.750 (47.122) Prec@5 72.500 (77.652) Epoch: [44][10070/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0594 (2.0573) Prec@1 48.125 (47.123) Prec@5 75.625 (77.652) Epoch: [44][10080/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1657 (2.0574) Prec@1 46.250 (47.120) Prec@5 76.250 (77.650) Epoch: [44][10090/11272] Time 0.879 (0.794) Data 0.001 (0.002) Loss 2.4064 (2.0575) Prec@1 40.000 (47.120) Prec@5 64.375 (77.647) Epoch: [44][10100/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9848 (2.0574) Prec@1 45.625 (47.121) Prec@5 78.125 (77.649) Epoch: [44][10110/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.0310 (2.0574) Prec@1 45.625 (47.121) Prec@5 78.750 (77.648) Epoch: [44][10120/11272] Time 0.906 (0.794) Data 0.001 (0.002) Loss 2.0426 (2.0574) Prec@1 46.250 (47.120) Prec@5 76.250 (77.649) Epoch: [44][10130/11272] Time 0.858 (0.795) Data 0.001 (0.002) Loss 2.1518 (2.0574) Prec@1 44.375 (47.121) Prec@5 78.125 (77.650) Epoch: [44][10140/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.8333 (2.0574) Prec@1 53.750 (47.122) Prec@5 80.625 (77.650) Epoch: [44][10150/11272] Time 0.762 (0.794) Data 0.002 (0.002) Loss 2.0026 (2.0574) Prec@1 50.000 (47.121) Prec@5 78.750 (77.651) Epoch: [44][10160/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.1677 (2.0575) Prec@1 38.750 (47.119) Prec@5 78.125 (77.650) Epoch: [44][10170/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1204 (2.0575) Prec@1 45.000 (47.118) Prec@5 77.500 (77.649) Epoch: [44][10180/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1083 (2.0576) Prec@1 47.500 (47.118) Prec@5 80.000 (77.649) Epoch: [44][10190/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.0869 (2.0576) Prec@1 47.500 (47.118) Prec@5 76.875 (77.650) Epoch: [44][10200/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 2.1898 (2.0576) Prec@1 46.250 (47.118) Prec@5 75.625 (77.650) Epoch: [44][10210/11272] Time 0.884 (0.794) Data 0.002 (0.002) Loss 2.1358 (2.0577) Prec@1 43.750 (47.116) Prec@5 76.250 (77.649) Epoch: [44][10220/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.0682 (2.0576) Prec@1 45.000 (47.117) Prec@5 77.500 (77.650) Epoch: [44][10230/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0128 (2.0576) Prec@1 45.000 (47.116) Prec@5 78.125 (77.650) Epoch: [44][10240/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 2.0060 (2.0576) Prec@1 46.250 (47.117) Prec@5 84.375 (77.650) Epoch: [44][10250/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.0119 (2.0575) Prec@1 50.000 (47.117) Prec@5 77.500 (77.653) Epoch: [44][10260/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.2905 (2.0575) Prec@1 44.375 (47.117) Prec@5 74.375 (77.653) Epoch: [44][10270/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 1.9166 (2.0575) Prec@1 48.750 (47.117) Prec@5 83.750 (77.654) Epoch: [44][10280/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.8664 (2.0575) Prec@1 51.250 (47.118) Prec@5 82.500 (77.655) Epoch: [44][10290/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.4085 (2.0576) Prec@1 43.750 (47.117) Prec@5 66.250 (77.652) Epoch: [44][10300/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.9607 (2.0576) Prec@1 45.000 (47.114) Prec@5 78.750 (77.650) Epoch: [44][10310/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.1517 (2.0577) Prec@1 44.375 (47.114) Prec@5 76.250 (77.649) Epoch: [44][10320/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.1500 (2.0576) Prec@1 47.500 (47.114) Prec@5 76.875 (77.650) Epoch: [44][10330/11272] Time 0.755 (0.794) Data 0.003 (0.002) Loss 1.9947 (2.0576) Prec@1 56.250 (47.114) Prec@5 78.750 (77.651) Epoch: [44][10340/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0491 (2.0576) Prec@1 46.250 (47.114) Prec@5 78.750 (77.650) Epoch: [44][10350/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 2.0763 (2.0577) Prec@1 46.250 (47.111) Prec@5 76.250 (77.650) Epoch: [44][10360/11272] Time 0.802 (0.794) Data 0.001 (0.002) Loss 2.0103 (2.0577) Prec@1 44.375 (47.110) Prec@5 80.625 (77.651) Epoch: [44][10370/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.9804 (2.0577) Prec@1 47.500 (47.110) Prec@5 80.000 (77.649) Epoch: [44][10380/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.0160 (2.0577) Prec@1 45.000 (47.108) Prec@5 80.000 (77.648) Epoch: [44][10390/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.1782 (2.0578) Prec@1 46.250 (47.107) Prec@5 75.625 (77.646) Epoch: [44][10400/11272] Time 0.770 (0.794) Data 0.001 (0.002) Loss 1.9974 (2.0578) Prec@1 48.750 (47.106) Prec@5 80.000 (77.646) Epoch: [44][10410/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.7516 (2.0578) Prec@1 56.250 (47.106) Prec@5 81.250 (77.646) Epoch: [44][10420/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 1.9897 (2.0578) Prec@1 52.500 (47.107) Prec@5 80.625 (77.646) Epoch: [44][10430/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 2.2887 (2.0578) Prec@1 45.000 (47.107) Prec@5 75.000 (77.647) Epoch: [44][10440/11272] Time 0.754 (0.794) Data 0.001 (0.002) Loss 2.0982 (2.0577) Prec@1 49.375 (47.109) Prec@5 76.875 (77.647) Epoch: [44][10450/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 1.9015 (2.0577) Prec@1 53.125 (47.109) Prec@5 78.750 (77.647) Epoch: [44][10460/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 1.8585 (2.0577) Prec@1 46.875 (47.109) Prec@5 78.750 (77.647) Epoch: [44][10470/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.9389 (2.0578) Prec@1 49.375 (47.107) Prec@5 77.500 (77.646) Epoch: [44][10480/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.2123 (2.0578) Prec@1 41.875 (47.109) Prec@5 75.625 (77.647) Epoch: [44][10490/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.4097 (2.0579) Prec@1 36.250 (47.106) Prec@5 69.375 (77.644) Epoch: [44][10500/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.2583 (2.0579) Prec@1 38.125 (47.103) Prec@5 75.000 (77.643) Epoch: [44][10510/11272] Time 0.827 (0.794) Data 0.001 (0.002) Loss 2.3194 (2.0580) Prec@1 40.625 (47.102) Prec@5 74.375 (77.642) Epoch: [44][10520/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.1415 (2.0581) Prec@1 46.250 (47.102) Prec@5 76.875 (77.640) Epoch: [44][10530/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 1.8793 (2.0581) Prec@1 52.500 (47.102) Prec@5 85.000 (77.641) Epoch: [44][10540/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.9730 (2.0581) Prec@1 48.125 (47.102) Prec@5 80.000 (77.640) Epoch: [44][10550/11272] Time 0.708 (0.794) Data 0.001 (0.002) Loss 2.2375 (2.0581) Prec@1 37.500 (47.101) Prec@5 77.500 (77.640) Epoch: [44][10560/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1261 (2.0582) Prec@1 48.125 (47.100) Prec@5 79.375 (77.640) Epoch: [44][10570/11272] Time 0.872 (0.794) Data 0.003 (0.002) Loss 2.1040 (2.0582) Prec@1 48.750 (47.101) Prec@5 80.000 (77.640) Epoch: [44][10580/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.1481 (2.0581) Prec@1 43.750 (47.100) Prec@5 76.875 (77.642) Epoch: [44][10590/11272] Time 0.761 (0.794) Data 0.002 (0.002) Loss 2.2120 (2.0582) Prec@1 48.125 (47.100) Prec@5 75.000 (77.640) Epoch: [44][10600/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.0223 (2.0582) Prec@1 48.750 (47.100) Prec@5 80.625 (77.640) Epoch: [44][10610/11272] Time 0.844 (0.794) Data 0.003 (0.002) Loss 2.0181 (2.0581) Prec@1 47.500 (47.100) Prec@5 76.875 (77.642) Epoch: [44][10620/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.9776 (2.0581) Prec@1 51.875 (47.100) Prec@5 79.375 (77.642) Epoch: [44][10630/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.8251 (2.0582) Prec@1 55.625 (47.101) Prec@5 82.500 (77.642) Epoch: [44][10640/11272] Time 0.723 (0.794) Data 0.001 (0.002) Loss 2.1149 (2.0582) Prec@1 46.875 (47.100) Prec@5 78.125 (77.642) Epoch: [44][10650/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 1.9437 (2.0582) Prec@1 48.750 (47.099) Prec@5 80.000 (77.642) Epoch: [44][10660/11272] Time 0.757 (0.794) Data 0.003 (0.002) Loss 2.1302 (2.0582) Prec@1 47.500 (47.100) Prec@5 73.750 (77.642) Epoch: [44][10670/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.3094 (2.0582) Prec@1 42.500 (47.099) Prec@5 75.000 (77.642) Epoch: [44][10680/11272] Time 0.902 (0.794) Data 0.001 (0.002) Loss 2.0207 (2.0583) Prec@1 51.250 (47.099) Prec@5 78.750 (77.641) Epoch: [44][10690/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.1661 (2.0583) Prec@1 46.250 (47.099) Prec@5 76.875 (77.641) Epoch: [44][10700/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.8393 (2.0583) Prec@1 51.875 (47.097) Prec@5 85.625 (77.641) Epoch: [44][10710/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.2178 (2.0584) Prec@1 43.750 (47.097) Prec@5 69.375 (77.640) Epoch: [44][10720/11272] Time 0.860 (0.794) Data 0.002 (0.002) Loss 2.1221 (2.0584) Prec@1 51.250 (47.097) Prec@5 75.000 (77.639) Epoch: [44][10730/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1179 (2.0584) Prec@1 51.250 (47.099) Prec@5 77.500 (77.640) Epoch: [44][10740/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 2.1042 (2.0584) Prec@1 45.000 (47.098) Prec@5 73.125 (77.640) Epoch: [44][10750/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0225 (2.0583) Prec@1 47.500 (47.099) Prec@5 81.250 (77.640) Epoch: [44][10760/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 1.8785 (2.0584) Prec@1 51.250 (47.099) Prec@5 83.750 (77.640) Epoch: [44][10770/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9167 (2.0584) Prec@1 49.375 (47.098) Prec@5 80.625 (77.639) Epoch: [44][10780/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.0392 (2.0584) Prec@1 45.000 (47.098) Prec@5 80.000 (77.638) Epoch: [44][10790/11272] Time 0.788 (0.794) Data 0.002 (0.002) Loss 1.9701 (2.0584) Prec@1 49.375 (47.097) Prec@5 78.750 (77.639) Epoch: [44][10800/11272] Time 0.806 (0.794) Data 0.001 (0.002) Loss 2.0274 (2.0584) Prec@1 47.500 (47.096) Prec@5 80.000 (77.638) Epoch: [44][10810/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.9537 (2.0585) Prec@1 50.000 (47.096) Prec@5 81.250 (77.636) Epoch: [44][10820/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9320 (2.0584) Prec@1 49.375 (47.098) Prec@5 76.250 (77.638) Epoch: [44][10830/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.2294 (2.0584) Prec@1 46.250 (47.098) Prec@5 75.625 (77.638) Epoch: [44][10840/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.1658 (2.0584) Prec@1 49.375 (47.099) Prec@5 74.375 (77.639) Epoch: [44][10850/11272] Time 0.749 (0.794) Data 0.001 (0.002) Loss 2.2057 (2.0585) Prec@1 43.750 (47.098) Prec@5 73.750 (77.636) Epoch: [44][10860/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 1.9463 (2.0585) Prec@1 50.625 (47.097) Prec@5 80.625 (77.635) Epoch: [44][10870/11272] Time 0.856 (0.794) Data 0.001 (0.002) Loss 2.3078 (2.0585) Prec@1 41.250 (47.097) Prec@5 74.375 (77.635) Epoch: [44][10880/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 2.0054 (2.0585) Prec@1 47.500 (47.097) Prec@5 75.625 (77.634) Epoch: [44][10890/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.0642 (2.0585) Prec@1 46.875 (47.097) Prec@5 76.250 (77.634) Epoch: [44][10900/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9609 (2.0585) Prec@1 49.375 (47.098) Prec@5 80.000 (77.633) Epoch: [44][10910/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 2.4406 (2.0586) Prec@1 40.625 (47.097) Prec@5 64.375 (77.630) Epoch: [44][10920/11272] Time 0.731 (0.794) Data 0.003 (0.002) Loss 2.0252 (2.0586) Prec@1 52.500 (47.098) Prec@5 77.500 (77.628) Epoch: [44][10930/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.0833 (2.0587) Prec@1 47.500 (47.097) Prec@5 77.500 (77.627) Epoch: [44][10940/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.0101 (2.0588) Prec@1 45.625 (47.094) Prec@5 78.125 (77.625) Epoch: [44][10950/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 2.0485 (2.0587) Prec@1 46.875 (47.095) Prec@5 79.375 (77.627) Epoch: [44][10960/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.0279 (2.0588) Prec@1 46.250 (47.093) Prec@5 77.500 (77.626) Epoch: [44][10970/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 2.0254 (2.0588) Prec@1 50.625 (47.094) Prec@5 73.750 (77.627) Epoch: [44][10980/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.1853 (2.0588) Prec@1 47.500 (47.094) Prec@5 78.125 (77.627) Epoch: [44][10990/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 2.1441 (2.0588) Prec@1 48.125 (47.094) Prec@5 76.250 (77.627) Epoch: [44][11000/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.2312 (2.0589) Prec@1 40.000 (47.093) Prec@5 73.125 (77.627) Epoch: [44][11010/11272] Time 0.763 (0.794) Data 0.002 (0.002) Loss 2.2898 (2.0589) Prec@1 43.750 (47.093) Prec@5 70.625 (77.626) Epoch: [44][11020/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.8607 (2.0590) Prec@1 47.500 (47.092) Prec@5 79.375 (77.625) Epoch: [44][11030/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.1261 (2.0589) Prec@1 47.500 (47.092) Prec@5 74.375 (77.624) Epoch: [44][11040/11272] Time 0.708 (0.794) Data 0.001 (0.002) Loss 2.1928 (2.0590) Prec@1 43.750 (47.092) Prec@5 74.375 (77.623) Epoch: [44][11050/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.0610 (2.0589) Prec@1 45.000 (47.093) Prec@5 76.250 (77.625) Epoch: [44][11060/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.0795 (2.0589) Prec@1 41.875 (47.092) Prec@5 76.875 (77.625) Epoch: [44][11070/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.8087 (2.0589) Prec@1 55.625 (47.094) Prec@5 81.875 (77.627) Epoch: [44][11080/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.8682 (2.0590) Prec@1 49.375 (47.092) Prec@5 80.000 (77.624) Epoch: [44][11090/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 2.1678 (2.0591) Prec@1 46.250 (47.091) Prec@5 76.875 (77.623) Epoch: [44][11100/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 2.0511 (2.0590) Prec@1 48.750 (47.092) Prec@5 76.875 (77.622) Epoch: [44][11110/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.6464 (2.0590) Prec@1 53.750 (47.093) Prec@5 83.750 (77.621) Epoch: [44][11120/11272] Time 0.768 (0.794) Data 0.003 (0.002) Loss 2.0869 (2.0590) Prec@1 47.500 (47.094) Prec@5 78.750 (77.621) Epoch: [44][11130/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 2.1816 (2.0590) Prec@1 45.625 (47.094) Prec@5 70.000 (77.623) Epoch: [44][11140/11272] Time 0.874 (0.794) Data 0.001 (0.002) Loss 1.9676 (2.0589) Prec@1 45.625 (47.094) Prec@5 82.500 (77.624) Epoch: [44][11150/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 2.1432 (2.0590) Prec@1 48.750 (47.094) Prec@5 73.125 (77.622) Epoch: [44][11160/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.9887 (2.0590) Prec@1 49.375 (47.094) Prec@5 79.375 (77.621) Epoch: [44][11170/11272] Time 0.883 (0.794) Data 0.003 (0.002) Loss 2.0901 (2.0591) Prec@1 48.125 (47.093) Prec@5 77.500 (77.621) Epoch: [44][11180/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 1.9537 (2.0591) Prec@1 50.000 (47.092) Prec@5 80.625 (77.621) Epoch: [44][11190/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 2.0559 (2.0591) Prec@1 50.000 (47.092) Prec@5 79.375 (77.621) Epoch: [44][11200/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 1.9092 (2.0591) Prec@1 48.750 (47.093) Prec@5 76.250 (77.622) Epoch: [44][11210/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.1801 (2.0591) Prec@1 46.250 (47.093) Prec@5 76.875 (77.622) Epoch: [44][11220/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1875 (2.0591) Prec@1 46.875 (47.094) Prec@5 75.000 (77.622) Epoch: [44][11230/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 1.9545 (2.0590) Prec@1 51.875 (47.094) Prec@5 80.000 (77.623) Epoch: [44][11240/11272] Time 0.913 (0.794) Data 0.001 (0.002) Loss 2.3316 (2.0591) Prec@1 39.375 (47.094) Prec@5 68.125 (77.620) Epoch: [44][11250/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.1933 (2.0591) Prec@1 43.750 (47.094) Prec@5 76.875 (77.620) Epoch: [44][11260/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.7145 (2.0590) Prec@1 52.500 (47.094) Prec@5 86.875 (77.622) Epoch: [44][11270/11272] Time 0.722 (0.794) Data 0.000 (0.002) Loss 2.1162 (2.0590) Prec@1 47.500 (47.093) Prec@5 77.500 (77.622) Test: [0/229] Time 1.784 (1.784) Loss 1.2570 (1.2570) Prec@1 60.625 (60.625) Prec@5 94.375 (94.375) Test: [10/229] Time 0.354 (0.520) Loss 1.0265 (1.7336) Prec@1 68.125 (52.727) Prec@5 95.000 (85.341) Test: [20/229] Time 0.485 (0.459) Loss 2.1311 (1.7754) Prec@1 46.250 (51.607) Prec@5 76.250 (83.720) Test: [30/229] Time 0.361 (0.434) Loss 2.0440 (1.6930) Prec@1 45.625 (54.617) Prec@5 80.000 (84.516) Test: [40/229] Time 0.424 (0.424) Loss 0.4188 (1.6891) Prec@1 91.250 (54.756) Prec@5 95.625 (84.543) Test: [50/229] Time 0.333 (0.414) Loss 2.4271 (1.7162) Prec@1 33.750 (54.265) Prec@5 75.000 (83.885) Test: [60/229] Time 0.395 (0.409) Loss 2.6418 (1.7185) Prec@1 28.750 (54.088) Prec@5 75.000 (83.904) Test: [70/229] Time 0.408 (0.406) Loss 1.2935 (1.7347) Prec@1 66.875 (53.433) Prec@5 89.375 (83.829) Test: [80/229] Time 0.359 (0.402) Loss 2.0916 (1.7609) Prec@1 40.625 (52.400) Prec@5 81.250 (83.711) Test: [90/229] Time 0.494 (0.401) Loss 1.2873 (1.7648) Prec@1 69.375 (52.370) Prec@5 86.875 (83.771) Test: [100/229] Time 0.374 (0.400) Loss 2.1744 (1.7568) Prec@1 46.250 (52.692) Prec@5 81.250 (83.886) Test: [110/229] Time 0.397 (0.398) Loss 1.2499 (1.7387) Prec@1 68.125 (53.086) Prec@5 87.500 (84.003) Test: [120/229] Time 0.337 (0.398) Loss 2.8019 (1.7592) Prec@1 30.000 (52.588) Prec@5 72.500 (83.760) Test: [130/229] Time 0.372 (0.398) Loss 1.1974 (1.7437) Prec@1 66.250 (53.020) Prec@5 91.250 (83.893) Test: [140/229] Time 0.460 (0.398) Loss 2.0691 (1.7575) Prec@1 40.000 (52.726) Prec@5 78.125 (83.688) Test: [150/229] Time 0.345 (0.397) Loss 0.9844 (1.7698) Prec@1 76.875 (52.430) Prec@5 90.625 (83.531) Test: [160/229] Time 0.405 (0.396) Loss 1.8533 (1.7768) Prec@1 57.500 (52.220) Prec@5 84.375 (83.478) Test: [170/229] Time 0.335 (0.395) Loss 1.8314 (1.7966) Prec@1 51.875 (51.601) Prec@5 85.000 (83.183) Test: [180/229] Time 0.404 (0.395) Loss 2.4459 (1.8020) Prec@1 35.000 (51.616) Prec@5 67.500 (82.970) Test: [190/229] Time 0.332 (0.394) Loss 1.5017 (1.7954) Prec@1 61.250 (51.829) Prec@5 90.625 (83.102) Test: [200/229] Time 0.334 (0.394) Loss 1.5660 (1.7886) Prec@1 57.500 (51.984) Prec@5 86.875 (83.305) Test: [210/229] Time 0.460 (0.393) Loss 1.3479 (1.7798) Prec@1 59.375 (52.213) Prec@5 91.875 (83.477) Test: [220/229] Time 0.395 (0.392) Loss 1.4879 (1.7677) Prec@1 61.875 (52.579) Prec@5 88.750 (83.600) * Prec@1 52.989 Prec@5 83.702 Epoch: [45][0/11272] Time 3.276 (3.276) Data 2.484 (2.484) Loss 1.9095 (1.9095) Prec@1 48.750 (48.750) Prec@5 83.750 (83.750) Epoch: [45][10/11272] Time 0.854 (1.022) Data 0.002 (0.227) Loss 1.8838 (1.9337) Prec@1 50.625 (49.943) Prec@5 81.250 (80.227) Epoch: [45][20/11272] Time 0.872 (0.913) Data 0.002 (0.120) Loss 2.2542 (2.0017) Prec@1 43.125 (48.274) Prec@5 74.375 (78.958) Epoch: [45][30/11272] Time 0.715 (0.875) Data 0.001 (0.082) Loss 1.9309 (1.9915) Prec@1 49.375 (48.548) Prec@5 83.125 (79.597) Epoch: [45][40/11272] Time 0.721 (0.855) Data 0.001 (0.062) Loss 2.3051 (1.9950) Prec@1 43.750 (48.628) Prec@5 75.000 (79.375) Epoch: [45][50/11272] Time 0.823 (0.844) Data 0.001 (0.050) Loss 1.9666 (1.9935) Prec@1 46.875 (48.566) Prec@5 78.750 (79.461) Epoch: [45][60/11272] Time 0.837 (0.836) Data 0.002 (0.042) Loss 2.0842 (2.0044) Prec@1 45.000 (48.217) Prec@5 73.750 (79.262) Epoch: [45][70/11272] Time 0.722 (0.830) Data 0.001 (0.036) Loss 1.9212 (2.0043) Prec@1 52.500 (48.143) Prec@5 78.125 (79.269) Epoch: [45][80/11272] Time 0.761 (0.826) Data 0.002 (0.032) Loss 2.3654 (2.0132) Prec@1 44.375 (47.994) Prec@5 73.125 (79.082) Epoch: [45][90/11272] Time 0.858 (0.823) Data 0.002 (0.029) Loss 2.0898 (2.0177) Prec@1 49.375 (47.837) Prec@5 77.500 (78.894) Epoch: [45][100/11272] Time 0.848 (0.820) Data 0.002 (0.026) Loss 2.2172 (2.0217) Prec@1 36.875 (47.636) Prec@5 76.875 (78.855) Epoch: [45][110/11272] Time 0.769 (0.818) Data 0.002 (0.024) Loss 1.8781 (2.0218) Prec@1 45.000 (47.618) Prec@5 80.000 (78.812) Epoch: [45][120/11272] Time 0.886 (0.817) Data 0.001 (0.022) Loss 2.0773 (2.0201) Prec@1 46.250 (47.572) Prec@5 76.875 (78.843) Epoch: [45][130/11272] Time 0.835 (0.816) Data 0.001 (0.020) Loss 1.8976 (2.0182) Prec@1 48.125 (47.605) Prec@5 76.875 (78.831) Epoch: [45][140/11272] Time 0.753 (0.815) Data 0.001 (0.019) Loss 2.2248 (2.0168) Prec@1 46.250 (47.744) Prec@5 74.375 (78.803) Epoch: [45][150/11272] Time 0.766 (0.814) Data 0.002 (0.018) Loss 2.2489 (2.0172) Prec@1 43.750 (47.761) Prec@5 74.375 (78.800) Epoch: [45][160/11272] Time 0.839 (0.814) Data 0.001 (0.017) Loss 2.1396 (2.0152) Prec@1 45.625 (47.799) Prec@5 76.250 (78.800) Epoch: [45][170/11272] Time 0.863 (0.813) Data 0.001 (0.016) Loss 2.0686 (2.0183) Prec@1 46.875 (47.675) Prec@5 76.875 (78.666) Epoch: [45][180/11272] Time 0.778 (0.812) Data 0.001 (0.015) Loss 1.9682 (2.0184) Prec@1 48.125 (47.631) Prec@5 80.625 (78.640) Epoch: [45][190/11272] Time 0.740 (0.812) Data 0.002 (0.015) Loss 2.2433 (2.0213) Prec@1 41.875 (47.615) Prec@5 73.750 (78.586) Epoch: [45][200/11272] Time 0.840 (0.810) Data 0.001 (0.014) Loss 1.7619 (2.0198) Prec@1 55.000 (47.612) Prec@5 83.125 (78.623) Epoch: [45][210/11272] Time 0.868 (0.809) Data 0.002 (0.013) Loss 2.1317 (2.0175) Prec@1 40.625 (47.607) Prec@5 71.875 (78.643) Epoch: [45][220/11272] Time 0.777 (0.809) Data 0.001 (0.013) Loss 2.0283 (2.0198) Prec@1 48.750 (47.562) Prec@5 76.875 (78.575) Epoch: [45][230/11272] Time 0.751 (0.809) Data 0.002 (0.012) Loss 2.0107 (2.0211) Prec@1 46.250 (47.538) Prec@5 78.125 (78.536) Epoch: [45][240/11272] Time 0.881 (0.809) Data 0.002 (0.012) Loss 2.1003 (2.0234) Prec@1 50.000 (47.484) Prec@5 75.000 (78.465) Epoch: [45][250/11272] Time 0.849 (0.809) Data 0.002 (0.011) Loss 2.1633 (2.0227) Prec@1 41.875 (47.510) Prec@5 76.875 (78.436) Epoch: [45][260/11272] Time 0.728 (0.809) Data 0.001 (0.011) Loss 2.0258 (2.0227) Prec@1 44.375 (47.462) Prec@5 78.125 (78.422) Epoch: [45][270/11272] Time 0.888 (0.809) Data 0.001 (0.011) Loss 2.0776 (2.0207) Prec@1 44.375 (47.495) Prec@5 76.250 (78.443) Epoch: [45][280/11272] Time 0.904 (0.808) Data 0.004 (0.010) Loss 2.0380 (2.0169) Prec@1 48.750 (47.580) Prec@5 78.125 (78.452) Epoch: [45][290/11272] Time 0.729 (0.808) Data 0.002 (0.010) Loss 2.1350 (2.0153) Prec@1 45.000 (47.614) Prec@5 78.125 (78.520) Epoch: [45][300/11272] Time 0.749 (0.808) Data 0.002 (0.010) Loss 1.9315 (2.0149) Prec@1 49.375 (47.631) Prec@5 83.125 (78.530) Epoch: [45][310/11272] Time 0.862 (0.808) Data 0.001 (0.009) Loss 1.8682 (2.0147) Prec@1 55.000 (47.689) Prec@5 81.875 (78.549) Epoch: [45][320/11272] Time 0.871 (0.807) Data 0.002 (0.009) Loss 1.9645 (2.0150) Prec@1 50.625 (47.687) Prec@5 80.625 (78.528) Epoch: [45][330/11272] Time 0.754 (0.808) Data 0.002 (0.009) Loss 1.9800 (2.0159) Prec@1 46.250 (47.653) Prec@5 81.875 (78.493) Epoch: [45][340/11272] Time 0.749 (0.808) Data 0.002 (0.009) Loss 1.7718 (2.0157) Prec@1 53.750 (47.652) Prec@5 84.375 (78.501) Epoch: [45][350/11272] Time 0.844 (0.807) Data 0.002 (0.009) Loss 1.9239 (2.0155) Prec@1 51.250 (47.691) Prec@5 80.625 (78.465) Epoch: [45][360/11272] Time 0.823 (0.807) Data 0.002 (0.008) Loss 1.8809 (2.0141) Prec@1 51.875 (47.708) Prec@5 80.625 (78.471) Epoch: [45][370/11272] Time 0.738 (0.806) Data 0.002 (0.008) Loss 2.0496 (2.0142) Prec@1 46.250 (47.732) Prec@5 77.500 (78.459) Epoch: [45][380/11272] Time 0.744 (0.806) Data 0.001 (0.008) Loss 1.9178 (2.0157) Prec@1 49.375 (47.708) Prec@5 80.000 (78.422) Epoch: [45][390/11272] Time 0.830 (0.806) Data 0.002 (0.008) Loss 2.1074 (2.0170) Prec@1 45.625 (47.676) Prec@5 79.375 (78.371) Epoch: [45][400/11272] Time 0.764 (0.805) Data 0.001 (0.008) Loss 2.4203 (2.0177) Prec@1 37.500 (47.629) Prec@5 71.875 (78.339) Epoch: [45][410/11272] Time 0.744 (0.805) Data 0.002 (0.008) Loss 1.9540 (2.0195) Prec@1 47.500 (47.571) Prec@5 78.125 (78.312) Epoch: [45][420/11272] Time 0.848 (0.805) Data 0.001 (0.007) Loss 2.1132 (2.0203) Prec@1 45.000 (47.540) Prec@5 78.750 (78.309) Epoch: [45][430/11272] Time 0.896 (0.805) Data 0.002 (0.007) Loss 2.0226 (2.0204) Prec@1 50.625 (47.522) Prec@5 78.750 (78.299) Epoch: [45][440/11272] Time 0.727 (0.805) Data 0.001 (0.007) Loss 2.1065 (2.0207) Prec@1 44.375 (47.474) Prec@5 78.125 (78.291) Epoch: [45][450/11272] Time 0.756 (0.805) Data 0.001 (0.007) Loss 2.0155 (2.0203) Prec@1 50.625 (47.482) Prec@5 78.750 (78.302) Epoch: [45][460/11272] Time 0.835 (0.804) Data 0.001 (0.007) Loss 2.1828 (2.0208) Prec@1 48.750 (47.493) Prec@5 74.375 (78.307) Epoch: [45][470/11272] Time 0.834 (0.804) Data 0.002 (0.007) Loss 2.0436 (2.0233) Prec@1 51.250 (47.448) Prec@5 77.500 (78.291) Epoch: [45][480/11272] Time 0.741 (0.804) Data 0.002 (0.007) Loss 2.1312 (2.0239) Prec@1 48.125 (47.458) Prec@5 77.500 (78.286) Epoch: [45][490/11272] Time 0.734 (0.804) Data 0.002 (0.007) Loss 2.2440 (2.0257) Prec@1 38.750 (47.412) Prec@5 69.375 (78.266) Epoch: [45][500/11272] Time 0.843 (0.804) Data 0.001 (0.006) Loss 2.1420 (2.0264) Prec@1 42.500 (47.380) Prec@5 79.375 (78.262) Epoch: [45][510/11272] Time 0.848 (0.804) Data 0.001 (0.006) Loss 1.9401 (2.0282) Prec@1 43.750 (47.346) Prec@5 81.875 (78.246) Epoch: [45][520/11272] Time 0.734 (0.804) Data 0.001 (0.006) Loss 2.1887 (2.0273) Prec@1 42.500 (47.367) Prec@5 75.000 (78.263) Epoch: [45][530/11272] Time 0.845 (0.804) Data 0.002 (0.006) Loss 1.8432 (2.0280) Prec@1 55.625 (47.347) Prec@5 80.625 (78.243) Epoch: [45][540/11272] Time 0.836 (0.804) Data 0.001 (0.006) Loss 1.8986 (2.0270) Prec@1 48.125 (47.380) Prec@5 83.750 (78.249) Epoch: [45][550/11272] Time 0.752 (0.803) Data 0.002 (0.006) Loss 2.2988 (2.0278) Prec@1 43.750 (47.349) Prec@5 75.000 (78.244) Epoch: [45][560/11272] Time 0.783 (0.803) Data 0.002 (0.006) Loss 1.8286 (2.0275) Prec@1 54.375 (47.376) Prec@5 80.625 (78.230) Epoch: [45][570/11272] Time 0.895 (0.803) Data 0.002 (0.006) Loss 2.0570 (2.0266) Prec@1 47.500 (47.387) Prec@5 77.500 (78.254) Epoch: [45][580/11272] Time 0.844 (0.803) Data 0.002 (0.006) Loss 2.0352 (2.0264) Prec@1 50.625 (47.448) Prec@5 76.875 (78.247) Epoch: [45][590/11272] Time 0.738 (0.803) Data 0.001 (0.006) Loss 2.0902 (2.0272) Prec@1 47.500 (47.447) Prec@5 81.875 (78.232) Epoch: [45][600/11272] Time 0.737 (0.803) Data 0.002 (0.006) Loss 2.2736 (2.0277) Prec@1 40.000 (47.432) Prec@5 78.750 (78.214) Epoch: [45][610/11272] Time 0.860 (0.803) Data 0.002 (0.006) Loss 2.1201 (2.0278) Prec@1 46.875 (47.442) Prec@5 75.000 (78.223) Epoch: [45][620/11272] Time 0.821 (0.803) Data 0.001 (0.006) Loss 2.2142 (2.0280) Prec@1 46.875 (47.479) Prec@5 74.375 (78.211) Epoch: [45][630/11272] Time 0.737 (0.802) Data 0.002 (0.005) Loss 2.0385 (2.0273) Prec@1 53.125 (47.511) Prec@5 81.250 (78.218) Epoch: [45][640/11272] Time 0.732 (0.802) Data 0.002 (0.005) Loss 1.7423 (2.0270) Prec@1 60.000 (47.520) Prec@5 83.750 (78.214) Epoch: [45][650/11272] Time 0.865 (0.802) Data 0.002 (0.005) Loss 2.0408 (2.0273) Prec@1 46.250 (47.525) Prec@5 77.500 (78.189) Epoch: [45][660/11272] Time 0.735 (0.802) Data 0.003 (0.005) Loss 1.6395 (2.0267) Prec@1 51.875 (47.507) Prec@5 85.625 (78.203) Epoch: [45][670/11272] Time 0.764 (0.802) Data 0.002 (0.005) Loss 2.1655 (2.0268) Prec@1 50.000 (47.508) Prec@5 75.000 (78.201) Epoch: [45][680/11272] Time 0.850 (0.802) Data 0.002 (0.005) Loss 1.7968 (2.0255) Prec@1 53.125 (47.530) Prec@5 84.375 (78.207) Epoch: [45][690/11272] Time 0.866 (0.802) Data 0.002 (0.005) Loss 1.9492 (2.0253) Prec@1 55.625 (47.557) Prec@5 79.375 (78.205) Epoch: [45][700/11272] Time 0.756 (0.802) Data 0.001 (0.005) Loss 2.0625 (2.0252) Prec@1 44.375 (47.567) Prec@5 75.625 (78.205) Epoch: [45][710/11272] Time 0.733 (0.802) Data 0.001 (0.005) Loss 2.0161 (2.0245) Prec@1 46.875 (47.579) Prec@5 80.625 (78.226) Epoch: [45][720/11272] Time 0.901 (0.802) Data 0.002 (0.005) Loss 2.0943 (2.0245) Prec@1 49.375 (47.567) Prec@5 75.000 (78.232) Epoch: [45][730/11272] Time 0.889 (0.802) Data 0.002 (0.005) Loss 1.9222 (2.0251) Prec@1 50.000 (47.551) Prec@5 78.750 (78.225) Epoch: [45][740/11272] Time 0.736 (0.802) Data 0.001 (0.005) Loss 1.8987 (2.0250) Prec@1 54.375 (47.553) Prec@5 79.375 (78.237) Epoch: [45][750/11272] Time 0.726 (0.802) Data 0.001 (0.005) Loss 1.7805 (2.0256) Prec@1 55.000 (47.567) Prec@5 81.875 (78.233) Epoch: [45][760/11272] Time 0.839 (0.802) Data 0.001 (0.005) Loss 2.2806 (2.0256) Prec@1 42.500 (47.582) Prec@5 69.375 (78.235) Epoch: [45][770/11272] Time 0.806 (0.802) Data 0.001 (0.005) Loss 2.0367 (2.0265) Prec@1 47.500 (47.566) Prec@5 72.500 (78.221) Epoch: [45][780/11272] Time 0.725 (0.802) Data 0.001 (0.005) Loss 1.6788 (2.0256) Prec@1 58.125 (47.578) Prec@5 80.000 (78.237) Epoch: [45][790/11272] Time 0.861 (0.802) Data 0.002 (0.005) Loss 2.0581 (2.0258) Prec@1 42.500 (47.578) Prec@5 77.500 (78.240) Epoch: [45][800/11272] Time 0.837 (0.802) Data 0.001 (0.005) Loss 2.1791 (2.0252) Prec@1 46.875 (47.580) Prec@5 77.500 (78.262) Epoch: [45][810/11272] Time 0.723 (0.802) Data 0.001 (0.005) Loss 1.9074 (2.0258) Prec@1 52.500 (47.572) Prec@5 80.625 (78.241) Epoch: [45][820/11272] Time 0.741 (0.802) Data 0.001 (0.005) Loss 1.7913 (2.0253) Prec@1 55.625 (47.575) Prec@5 83.125 (78.254) Epoch: [45][830/11272] Time 0.877 (0.802) Data 0.002 (0.005) Loss 2.2905 (2.0260) Prec@1 46.875 (47.575) Prec@5 71.250 (78.249) Epoch: [45][840/11272] Time 0.841 (0.802) Data 0.001 (0.004) Loss 2.1315 (2.0259) Prec@1 40.625 (47.568) Prec@5 73.750 (78.252) Epoch: [45][850/11272] Time 0.742 (0.801) Data 0.001 (0.004) Loss 2.1115 (2.0258) Prec@1 46.875 (47.573) Prec@5 76.250 (78.254) Epoch: [45][860/11272] Time 0.742 (0.801) Data 0.001 (0.004) Loss 2.0769 (2.0269) Prec@1 46.875 (47.559) Prec@5 78.750 (78.231) Epoch: [45][870/11272] Time 0.844 (0.801) Data 0.001 (0.004) Loss 1.7420 (2.0265) Prec@1 53.125 (47.558) Prec@5 83.750 (78.243) Epoch: [45][880/11272] Time 0.797 (0.801) Data 0.001 (0.004) Loss 1.9942 (2.0269) Prec@1 46.875 (47.537) Prec@5 83.125 (78.235) Epoch: [45][890/11272] Time 0.734 (0.801) Data 0.001 (0.004) Loss 2.2470 (2.0272) Prec@1 43.750 (47.557) Prec@5 72.500 (78.230) Epoch: [45][900/11272] Time 0.735 (0.801) Data 0.001 (0.004) Loss 1.9310 (2.0274) Prec@1 48.125 (47.572) Prec@5 78.750 (78.217) Epoch: [45][910/11272] Time 0.805 (0.801) Data 0.001 (0.004) Loss 2.1055 (2.0271) Prec@1 44.375 (47.570) Prec@5 77.500 (78.222) Epoch: [45][920/11272] Time 0.728 (0.801) Data 0.003 (0.004) Loss 2.0891 (2.0272) Prec@1 47.500 (47.560) Prec@5 78.125 (78.219) Epoch: [45][930/11272] Time 0.774 (0.801) Data 0.002 (0.004) Loss 2.0402 (2.0269) Prec@1 48.750 (47.570) Prec@5 79.375 (78.226) Epoch: [45][940/11272] Time 0.871 (0.801) Data 0.002 (0.004) Loss 2.1666 (2.0275) Prec@1 38.750 (47.556) Prec@5 78.750 (78.209) Epoch: [45][950/11272] Time 0.852 (0.802) Data 0.001 (0.004) Loss 2.0237 (2.0278) Prec@1 43.750 (47.548) Prec@5 82.500 (78.207) Epoch: [45][960/11272] Time 0.724 (0.801) Data 0.001 (0.004) Loss 1.9687 (2.0273) Prec@1 50.625 (47.567) Prec@5 80.000 (78.217) Epoch: [45][970/11272] Time 0.757 (0.801) Data 0.002 (0.004) Loss 1.9054 (2.0263) Prec@1 48.125 (47.582) Prec@5 81.250 (78.231) Epoch: [45][980/11272] Time 0.869 (0.801) Data 0.001 (0.004) Loss 2.1376 (2.0260) Prec@1 48.125 (47.613) Prec@5 76.250 (78.229) Epoch: [45][990/11272] Time 0.845 (0.801) Data 0.001 (0.004) Loss 2.1391 (2.0265) Prec@1 43.750 (47.605) Prec@5 76.250 (78.219) Epoch: [45][1000/11272] Time 0.740 (0.801) Data 0.001 (0.004) Loss 1.8725 (2.0261) Prec@1 47.500 (47.619) Prec@5 79.375 (78.219) Epoch: [45][1010/11272] Time 0.739 (0.801) Data 0.001 (0.004) Loss 2.1280 (2.0262) Prec@1 49.375 (47.623) Prec@5 78.125 (78.212) Epoch: [45][1020/11272] Time 0.825 (0.801) Data 0.002 (0.004) Loss 1.9601 (2.0261) Prec@1 46.250 (47.619) Prec@5 81.250 (78.210) Epoch: [45][1030/11272] Time 0.867 (0.801) Data 0.002 (0.004) Loss 2.2035 (2.0268) Prec@1 48.125 (47.610) Prec@5 73.750 (78.204) Epoch: [45][1040/11272] Time 0.725 (0.801) Data 0.002 (0.004) Loss 2.1693 (2.0275) Prec@1 44.375 (47.597) Prec@5 76.250 (78.201) Epoch: [45][1050/11272] Time 0.860 (0.801) Data 0.001 (0.004) Loss 2.0202 (2.0286) Prec@1 41.250 (47.571) Prec@5 77.500 (78.183) Epoch: [45][1060/11272] Time 0.854 (0.801) Data 0.002 (0.004) Loss 2.0081 (2.0297) Prec@1 42.500 (47.542) Prec@5 78.750 (78.168) Epoch: [45][1070/11272] Time 0.720 (0.801) Data 0.001 (0.004) Loss 2.0884 (2.0301) Prec@1 50.000 (47.548) Prec@5 76.250 (78.163) Epoch: [45][1080/11272] Time 0.763 (0.801) Data 0.002 (0.004) Loss 2.1005 (2.0305) Prec@1 47.500 (47.549) Prec@5 77.500 (78.164) Epoch: [45][1090/11272] Time 0.877 (0.801) Data 0.002 (0.004) Loss 1.8961 (2.0302) Prec@1 46.250 (47.556) Prec@5 83.125 (78.166) Epoch: [45][1100/11272] Time 0.886 (0.801) Data 0.002 (0.004) Loss 2.0210 (2.0301) Prec@1 51.875 (47.563) Prec@5 80.000 (78.160) Epoch: [45][1110/11272] Time 0.725 (0.801) Data 0.001 (0.004) Loss 2.0345 (2.0296) Prec@1 51.875 (47.568) Prec@5 78.750 (78.177) Epoch: [45][1120/11272] Time 0.816 (0.801) Data 0.004 (0.004) Loss 2.0203 (2.0294) Prec@1 50.000 (47.574) Prec@5 78.125 (78.181) Epoch: [45][1130/11272] Time 0.851 (0.801) Data 0.001 (0.004) Loss 1.9238 (2.0291) Prec@1 50.000 (47.584) Prec@5 78.125 (78.176) Epoch: [45][1140/11272] Time 0.902 (0.801) Data 0.002 (0.004) Loss 2.2724 (2.0297) Prec@1 43.125 (47.578) Prec@5 75.000 (78.168) Epoch: [45][1150/11272] Time 0.739 (0.802) Data 0.002 (0.004) Loss 2.3514 (2.0301) Prec@1 38.125 (47.579) Prec@5 76.250 (78.160) Epoch: [45][1160/11272] Time 0.727 (0.801) Data 0.002 (0.004) Loss 2.0829 (2.0304) Prec@1 46.250 (47.586) Prec@5 75.000 (78.156) Epoch: [45][1170/11272] Time 0.857 (0.802) Data 0.001 (0.004) Loss 2.2391 (2.0307) Prec@1 45.000 (47.593) Prec@5 73.750 (78.145) Epoch: [45][1180/11272] Time 0.812 (0.802) Data 0.001 (0.004) Loss 1.8220 (2.0307) Prec@1 54.375 (47.586) Prec@5 83.125 (78.141) Epoch: [45][1190/11272] Time 0.754 (0.802) Data 0.001 (0.004) Loss 2.0425 (2.0307) Prec@1 45.625 (47.578) Prec@5 79.375 (78.141) Epoch: [45][1200/11272] Time 0.883 (0.801) Data 0.001 (0.004) Loss 1.7789 (2.0307) Prec@1 56.875 (47.585) Prec@5 83.125 (78.136) Epoch: [45][1210/11272] Time 0.843 (0.802) Data 0.002 (0.004) Loss 2.1083 (2.0304) Prec@1 45.625 (47.589) Prec@5 78.750 (78.139) Epoch: [45][1220/11272] Time 0.727 (0.801) Data 0.001 (0.004) Loss 2.0541 (2.0302) Prec@1 48.125 (47.593) Prec@5 81.250 (78.145) Epoch: [45][1230/11272] Time 0.756 (0.802) Data 0.001 (0.004) Loss 2.1875 (2.0305) Prec@1 40.000 (47.589) Prec@5 75.625 (78.139) Epoch: [45][1240/11272] Time 0.870 (0.802) Data 0.002 (0.004) Loss 2.0158 (2.0307) Prec@1 48.125 (47.586) Prec@5 75.625 (78.137) Epoch: [45][1250/11272] Time 0.868 (0.802) Data 0.002 (0.004) Loss 1.9848 (2.0305) Prec@1 45.625 (47.590) Prec@5 82.500 (78.149) Epoch: [45][1260/11272] Time 0.727 (0.802) Data 0.001 (0.004) Loss 1.8371 (2.0306) Prec@1 54.375 (47.585) Prec@5 80.625 (78.143) Epoch: [45][1270/11272] Time 0.764 (0.802) Data 0.002 (0.003) Loss 2.1978 (2.0309) Prec@1 43.125 (47.583) Prec@5 79.375 (78.139) Epoch: [45][1280/11272] Time 0.839 (0.802) Data 0.001 (0.003) Loss 2.0178 (2.0307) Prec@1 49.375 (47.584) Prec@5 78.750 (78.142) Epoch: [45][1290/11272] Time 0.851 (0.802) Data 0.001 (0.003) Loss 2.0629 (2.0302) Prec@1 41.250 (47.591) Prec@5 78.125 (78.144) Epoch: [45][1300/11272] Time 0.756 (0.802) Data 0.002 (0.003) Loss 2.0505 (2.0299) Prec@1 42.500 (47.602) Prec@5 78.125 (78.149) Epoch: [45][1310/11272] Time 0.726 (0.802) Data 0.001 (0.003) Loss 1.9456 (2.0300) Prec@1 46.250 (47.595) Prec@5 81.875 (78.142) Epoch: [45][1320/11272] Time 0.884 (0.802) Data 0.001 (0.003) Loss 2.0651 (2.0301) Prec@1 47.500 (47.597) Prec@5 79.375 (78.142) Epoch: [45][1330/11272] Time 0.747 (0.802) Data 0.002 (0.003) Loss 2.0668 (2.0299) Prec@1 46.875 (47.607) Prec@5 77.500 (78.140) Epoch: [45][1340/11272] Time 0.740 (0.802) Data 0.001 (0.003) Loss 1.9580 (2.0305) Prec@1 49.375 (47.586) Prec@5 81.250 (78.133) Epoch: [45][1350/11272] Time 0.881 (0.802) Data 0.001 (0.003) Loss 1.9552 (2.0303) Prec@1 50.000 (47.588) Prec@5 83.125 (78.134) Epoch: [45][1360/11272] Time 0.846 (0.802) Data 0.001 (0.003) Loss 2.0827 (2.0307) Prec@1 45.000 (47.582) Prec@5 76.250 (78.125) Epoch: [45][1370/11272] Time 0.752 (0.802) Data 0.002 (0.003) Loss 1.9092 (2.0301) Prec@1 48.125 (47.581) Prec@5 80.625 (78.137) Epoch: [45][1380/11272] Time 0.739 (0.802) Data 0.002 (0.003) Loss 1.6947 (2.0299) Prec@1 59.375 (47.581) Prec@5 85.000 (78.144) Epoch: [45][1390/11272] Time 0.864 (0.802) Data 0.001 (0.003) Loss 2.1205 (2.0302) Prec@1 45.625 (47.569) Prec@5 75.000 (78.142) Epoch: [45][1400/11272] Time 0.880 (0.802) Data 0.002 (0.003) Loss 1.9635 (2.0301) Prec@1 50.625 (47.573) Prec@5 77.500 (78.137) Epoch: [45][1410/11272] Time 0.743 (0.802) Data 0.001 (0.003) Loss 1.9031 (2.0308) Prec@1 50.000 (47.555) Prec@5 78.750 (78.118) Epoch: [45][1420/11272] Time 0.734 (0.802) Data 0.001 (0.003) Loss 1.8839 (2.0308) Prec@1 48.125 (47.564) Prec@5 81.250 (78.119) Epoch: [45][1430/11272] Time 0.858 (0.802) Data 0.001 (0.003) Loss 2.0029 (2.0305) Prec@1 47.500 (47.570) Prec@5 81.250 (78.121) Epoch: [45][1440/11272] Time 0.840 (0.802) Data 0.001 (0.003) Loss 2.1923 (2.0303) Prec@1 44.375 (47.569) Prec@5 75.000 (78.127) Epoch: [45][1450/11272] Time 0.736 (0.802) Data 0.001 (0.003) Loss 1.8770 (2.0302) Prec@1 51.875 (47.569) Prec@5 82.500 (78.138) Epoch: [45][1460/11272] Time 0.893 (0.802) Data 0.001 (0.003) Loss 1.9222 (2.0304) Prec@1 52.500 (47.573) Prec@5 81.250 (78.137) Epoch: [45][1470/11272] Time 0.812 (0.802) Data 0.001 (0.003) Loss 1.8532 (2.0302) Prec@1 55.000 (47.579) Prec@5 82.500 (78.139) Epoch: [45][1480/11272] Time 0.724 (0.802) Data 0.001 (0.003) Loss 2.0880 (2.0305) Prec@1 51.250 (47.575) Prec@5 78.750 (78.131) Epoch: [45][1490/11272] Time 0.738 (0.802) Data 0.001 (0.003) Loss 2.0132 (2.0306) Prec@1 45.000 (47.566) Prec@5 78.750 (78.135) Epoch: [45][1500/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 1.8609 (2.0304) Prec@1 50.625 (47.565) Prec@5 80.625 (78.137) Epoch: [45][1510/11272] Time 0.852 (0.801) Data 0.001 (0.003) Loss 2.2428 (2.0303) Prec@1 43.125 (47.564) Prec@5 72.500 (78.136) Epoch: [45][1520/11272] Time 0.755 (0.801) Data 0.002 (0.003) Loss 1.9772 (2.0301) Prec@1 51.875 (47.567) Prec@5 79.375 (78.137) Epoch: [45][1530/11272] Time 0.744 (0.801) Data 0.001 (0.003) Loss 2.1676 (2.0304) Prec@1 47.500 (47.551) Prec@5 75.000 (78.133) Epoch: [45][1540/11272] Time 0.872 (0.802) Data 0.002 (0.003) Loss 2.1995 (2.0304) Prec@1 43.750 (47.555) Prec@5 79.375 (78.130) Epoch: [45][1550/11272] Time 0.887 (0.802) Data 0.002 (0.003) Loss 2.0150 (2.0299) Prec@1 50.000 (47.564) Prec@5 77.500 (78.140) Epoch: [45][1560/11272] Time 0.749 (0.802) Data 0.002 (0.003) Loss 1.9893 (2.0300) Prec@1 45.625 (47.566) Prec@5 78.750 (78.140) Epoch: [45][1570/11272] Time 0.734 (0.802) Data 0.001 (0.003) Loss 2.0796 (2.0295) Prec@1 46.875 (47.575) Prec@5 75.000 (78.151) Epoch: [45][1580/11272] Time 0.884 (0.802) Data 0.001 (0.003) Loss 2.0933 (2.0295) Prec@1 48.750 (47.577) Prec@5 76.250 (78.153) Epoch: [45][1590/11272] Time 0.749 (0.802) Data 0.002 (0.003) Loss 2.3319 (2.0297) Prec@1 44.375 (47.568) Prec@5 73.750 (78.154) Epoch: [45][1600/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 2.1438 (2.0295) Prec@1 41.250 (47.570) Prec@5 76.250 (78.155) Epoch: [45][1610/11272] Time 0.905 (0.802) Data 0.002 (0.003) Loss 2.0239 (2.0290) Prec@1 46.250 (47.580) Prec@5 78.750 (78.166) Epoch: [45][1620/11272] Time 0.847 (0.802) Data 0.002 (0.003) Loss 1.9186 (2.0287) Prec@1 50.625 (47.584) Prec@5 81.250 (78.174) Epoch: [45][1630/11272] Time 0.732 (0.801) Data 0.001 (0.003) Loss 2.0712 (2.0290) Prec@1 46.250 (47.570) Prec@5 75.625 (78.163) Epoch: [45][1640/11272] Time 0.750 (0.802) Data 0.002 (0.003) Loss 1.9386 (2.0291) Prec@1 48.750 (47.566) Prec@5 80.000 (78.157) Epoch: [45][1650/11272] Time 0.850 (0.802) Data 0.001 (0.003) Loss 2.0534 (2.0294) Prec@1 50.000 (47.560) Prec@5 80.000 (78.156) Epoch: [45][1660/11272] Time 0.857 (0.801) Data 0.002 (0.003) Loss 1.9081 (2.0293) Prec@1 43.125 (47.564) Prec@5 81.250 (78.160) Epoch: [45][1670/11272] Time 0.736 (0.801) Data 0.002 (0.003) Loss 2.1622 (2.0290) Prec@1 41.875 (47.577) Prec@5 75.625 (78.160) Epoch: [45][1680/11272] Time 0.727 (0.801) Data 0.001 (0.003) Loss 2.0201 (2.0288) Prec@1 50.625 (47.590) Prec@5 76.875 (78.156) Epoch: [45][1690/11272] Time 0.892 (0.801) Data 0.001 (0.003) Loss 1.9309 (2.0286) Prec@1 48.125 (47.598) Prec@5 80.000 (78.156) Epoch: [45][1700/11272] Time 0.812 (0.801) Data 0.001 (0.003) Loss 2.0988 (2.0283) Prec@1 46.250 (47.612) Prec@5 73.750 (78.158) Epoch: [45][1710/11272] Time 0.752 (0.801) Data 0.002 (0.003) Loss 2.2204 (2.0280) Prec@1 43.125 (47.615) Prec@5 76.250 (78.166) Epoch: [45][1720/11272] Time 0.844 (0.801) Data 0.001 (0.003) Loss 1.9371 (2.0280) Prec@1 45.625 (47.622) Prec@5 81.875 (78.162) Epoch: [45][1730/11272] Time 0.839 (0.801) Data 0.001 (0.003) Loss 1.7904 (2.0276) Prec@1 50.000 (47.622) Prec@5 83.125 (78.170) Epoch: [45][1740/11272] Time 0.731 (0.801) Data 0.002 (0.003) Loss 1.9117 (2.0277) Prec@1 50.625 (47.618) Prec@5 79.375 (78.170) Epoch: [45][1750/11272] Time 0.752 (0.801) Data 0.001 (0.003) Loss 2.1933 (2.0276) Prec@1 44.375 (47.619) Prec@5 75.000 (78.166) Epoch: [45][1760/11272] Time 0.844 (0.801) Data 0.001 (0.003) Loss 1.8722 (2.0278) Prec@1 48.750 (47.622) Prec@5 80.625 (78.165) Epoch: [45][1770/11272] Time 0.827 (0.801) Data 0.002 (0.003) Loss 1.8921 (2.0282) Prec@1 54.375 (47.614) Prec@5 80.000 (78.155) Epoch: [45][1780/11272] Time 0.731 (0.801) Data 0.002 (0.003) Loss 1.8788 (2.0282) Prec@1 50.625 (47.617) Prec@5 81.250 (78.149) Epoch: [45][1790/11272] Time 0.748 (0.801) Data 0.002 (0.003) Loss 1.8589 (2.0279) Prec@1 50.000 (47.625) Prec@5 82.500 (78.149) Epoch: [45][1800/11272] Time 0.858 (0.801) Data 0.002 (0.003) Loss 1.9397 (2.0278) Prec@1 51.875 (47.632) Prec@5 80.000 (78.152) Epoch: [45][1810/11272] Time 0.896 (0.801) Data 0.001 (0.003) Loss 2.2277 (2.0277) Prec@1 40.625 (47.627) Prec@5 72.500 (78.153) Epoch: [45][1820/11272] Time 0.770 (0.801) Data 0.001 (0.003) Loss 2.1087 (2.0278) Prec@1 43.750 (47.624) Prec@5 75.000 (78.148) Epoch: [45][1830/11272] Time 0.707 (0.801) Data 0.001 (0.003) Loss 2.0514 (2.0281) Prec@1 51.875 (47.620) Prec@5 76.250 (78.136) Epoch: [45][1840/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 1.8306 (2.0280) Prec@1 51.875 (47.628) Prec@5 84.375 (78.138) Epoch: [45][1850/11272] Time 0.775 (0.801) Data 0.004 (0.003) Loss 2.0302 (2.0280) Prec@1 47.500 (47.631) Prec@5 76.875 (78.142) Epoch: [45][1860/11272] Time 0.739 (0.801) Data 0.002 (0.003) Loss 1.9366 (2.0282) Prec@1 50.625 (47.628) Prec@5 77.500 (78.146) Epoch: [45][1870/11272] Time 0.836 (0.801) Data 0.001 (0.003) Loss 2.3495 (2.0285) Prec@1 40.000 (47.621) Prec@5 72.500 (78.142) Epoch: [45][1880/11272] Time 0.828 (0.801) Data 0.001 (0.003) Loss 2.1881 (2.0286) Prec@1 40.000 (47.624) Prec@5 71.875 (78.138) Epoch: [45][1890/11272] Time 0.740 (0.801) Data 0.001 (0.003) Loss 2.1078 (2.0284) Prec@1 45.625 (47.635) Prec@5 75.000 (78.138) Epoch: [45][1900/11272] Time 0.713 (0.801) Data 0.001 (0.003) Loss 1.7768 (2.0284) Prec@1 52.500 (47.630) Prec@5 83.125 (78.144) Epoch: [45][1910/11272] Time 0.848 (0.801) Data 0.001 (0.003) Loss 2.1387 (2.0285) Prec@1 45.000 (47.628) Prec@5 75.000 (78.137) Epoch: [45][1920/11272] Time 0.868 (0.801) Data 0.002 (0.003) Loss 1.9107 (2.0285) Prec@1 55.000 (47.626) Prec@5 80.625 (78.132) Epoch: [45][1930/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.1145 (2.0287) Prec@1 46.250 (47.624) Prec@5 76.250 (78.130) Epoch: [45][1940/11272] Time 0.750 (0.801) Data 0.001 (0.003) Loss 2.1129 (2.0288) Prec@1 44.375 (47.621) Prec@5 75.625 (78.132) Epoch: [45][1950/11272] Time 0.843 (0.801) Data 0.001 (0.003) Loss 1.9758 (2.0289) Prec@1 43.750 (47.609) Prec@5 78.125 (78.127) Epoch: [45][1960/11272] Time 0.890 (0.801) Data 0.002 (0.003) Loss 1.9137 (2.0285) Prec@1 50.000 (47.620) Prec@5 79.375 (78.138) Epoch: [45][1970/11272] Time 0.736 (0.801) Data 0.001 (0.003) Loss 2.0744 (2.0288) Prec@1 48.750 (47.615) Prec@5 78.750 (78.136) Epoch: [45][1980/11272] Time 0.872 (0.801) Data 0.001 (0.003) Loss 2.0544 (2.0292) Prec@1 47.500 (47.609) Prec@5 78.750 (78.134) Epoch: [45][1990/11272] Time 0.869 (0.801) Data 0.001 (0.003) Loss 1.9938 (2.0290) Prec@1 45.625 (47.619) Prec@5 79.375 (78.137) Epoch: [45][2000/11272] Time 0.735 (0.801) Data 0.001 (0.003) Loss 2.1290 (2.0298) Prec@1 43.750 (47.609) Prec@5 79.375 (78.123) Epoch: [45][2010/11272] Time 0.743 (0.801) Data 0.002 (0.003) Loss 2.0500 (2.0302) Prec@1 48.750 (47.604) Prec@5 77.500 (78.115) Epoch: [45][2020/11272] Time 0.864 (0.801) Data 0.002 (0.003) Loss 1.8411 (2.0301) Prec@1 51.875 (47.606) Prec@5 82.500 (78.115) Epoch: [45][2030/11272] Time 0.838 (0.801) Data 0.002 (0.003) Loss 2.3114 (2.0305) Prec@1 45.625 (47.603) Prec@5 75.625 (78.111) Epoch: [45][2040/11272] Time 0.727 (0.801) Data 0.001 (0.003) Loss 1.9837 (2.0307) Prec@1 49.375 (47.597) Prec@5 77.500 (78.110) Epoch: [45][2050/11272] Time 0.735 (0.801) Data 0.001 (0.003) Loss 1.8920 (2.0308) Prec@1 56.875 (47.596) Prec@5 79.375 (78.115) Epoch: [45][2060/11272] Time 0.836 (0.801) Data 0.001 (0.003) Loss 2.1046 (2.0310) Prec@1 43.125 (47.584) Prec@5 76.875 (78.104) Epoch: [45][2070/11272] Time 0.847 (0.801) Data 0.001 (0.003) Loss 2.1262 (2.0313) Prec@1 43.750 (47.578) Prec@5 76.250 (78.097) Epoch: [45][2080/11272] Time 0.764 (0.801) Data 0.002 (0.003) Loss 2.2069 (2.0311) Prec@1 46.250 (47.581) Prec@5 77.500 (78.105) Epoch: [45][2090/11272] Time 0.729 (0.801) Data 0.001 (0.003) Loss 1.9549 (2.0308) Prec@1 44.375 (47.586) Prec@5 78.125 (78.107) Epoch: [45][2100/11272] Time 0.820 (0.801) Data 0.001 (0.003) Loss 2.1205 (2.0311) Prec@1 43.750 (47.576) Prec@5 75.000 (78.102) Epoch: [45][2110/11272] Time 0.809 (0.801) Data 0.002 (0.003) Loss 2.1206 (2.0315) Prec@1 48.125 (47.566) Prec@5 78.125 (78.097) Epoch: [45][2120/11272] Time 0.735 (0.801) Data 0.001 (0.003) Loss 2.0101 (2.0316) Prec@1 53.750 (47.570) Prec@5 78.125 (78.097) Epoch: [45][2130/11272] Time 0.854 (0.801) Data 0.002 (0.003) Loss 2.2186 (2.0321) Prec@1 42.500 (47.555) Prec@5 74.375 (78.086) Epoch: [45][2140/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 2.3257 (2.0323) Prec@1 40.625 (47.552) Prec@5 70.000 (78.082) Epoch: [45][2150/11272] Time 0.736 (0.801) Data 0.001 (0.003) Loss 2.0024 (2.0326) Prec@1 44.375 (47.545) Prec@5 76.875 (78.074) Epoch: [45][2160/11272] Time 0.746 (0.801) Data 0.001 (0.003) Loss 2.2272 (2.0328) Prec@1 41.250 (47.537) Prec@5 76.250 (78.074) Epoch: [45][2170/11272] Time 0.842 (0.801) Data 0.002 (0.003) Loss 1.9787 (2.0330) Prec@1 43.750 (47.527) Prec@5 85.000 (78.067) Epoch: [45][2180/11272] Time 0.841 (0.801) Data 0.001 (0.003) Loss 2.1588 (2.0334) Prec@1 43.750 (47.520) Prec@5 73.750 (78.063) Epoch: [45][2190/11272] Time 0.752 (0.801) Data 0.001 (0.003) Loss 1.8691 (2.0336) Prec@1 50.625 (47.511) Prec@5 81.875 (78.059) Epoch: [45][2200/11272] Time 0.726 (0.801) Data 0.001 (0.003) Loss 2.2096 (2.0339) Prec@1 47.500 (47.514) Prec@5 76.875 (78.055) Epoch: [45][2210/11272] Time 0.892 (0.801) Data 0.001 (0.003) Loss 2.2235 (2.0342) Prec@1 43.750 (47.510) Prec@5 78.125 (78.050) Epoch: [45][2220/11272] Time 0.840 (0.801) Data 0.001 (0.003) Loss 1.9493 (2.0339) Prec@1 50.000 (47.507) Prec@5 81.250 (78.055) Epoch: [45][2230/11272] Time 0.734 (0.801) Data 0.001 (0.003) Loss 2.0465 (2.0338) Prec@1 47.500 (47.512) Prec@5 78.750 (78.055) Epoch: [45][2240/11272] Time 0.752 (0.801) Data 0.002 (0.003) Loss 2.0156 (2.0336) Prec@1 46.875 (47.519) Prec@5 77.500 (78.055) Epoch: [45][2250/11272] Time 0.821 (0.801) Data 0.002 (0.003) Loss 1.9913 (2.0339) Prec@1 44.375 (47.509) Prec@5 80.625 (78.052) Epoch: [45][2260/11272] Time 0.744 (0.801) Data 0.001 (0.003) Loss 1.8432 (2.0338) Prec@1 50.625 (47.510) Prec@5 83.125 (78.052) Epoch: [45][2270/11272] Time 0.750 (0.801) Data 0.004 (0.003) Loss 2.1440 (2.0338) Prec@1 46.875 (47.506) Prec@5 77.500 (78.055) Epoch: [45][2280/11272] Time 0.850 (0.801) Data 0.002 (0.003) Loss 1.8458 (2.0338) Prec@1 58.125 (47.515) Prec@5 77.500 (78.050) Epoch: [45][2290/11272] Time 0.852 (0.801) Data 0.002 (0.003) Loss 2.0811 (2.0339) Prec@1 48.750 (47.517) Prec@5 76.250 (78.046) Epoch: [45][2300/11272] Time 0.771 (0.801) Data 0.003 (0.003) Loss 2.0431 (2.0338) Prec@1 41.875 (47.522) Prec@5 77.500 (78.048) Epoch: [45][2310/11272] Time 0.753 (0.801) Data 0.001 (0.003) Loss 2.1428 (2.0341) Prec@1 45.000 (47.519) Prec@5 80.000 (78.038) Epoch: [45][2320/11272] Time 0.830 (0.801) Data 0.001 (0.003) Loss 2.1228 (2.0343) Prec@1 45.625 (47.512) Prec@5 75.625 (78.039) Epoch: [45][2330/11272] Time 0.837 (0.801) Data 0.002 (0.003) Loss 1.8731 (2.0346) Prec@1 50.625 (47.509) Prec@5 84.375 (78.034) Epoch: [45][2340/11272] Time 0.726 (0.801) Data 0.001 (0.003) Loss 2.3611 (2.0345) Prec@1 45.000 (47.507) Prec@5 71.250 (78.034) Epoch: [45][2350/11272] Time 0.727 (0.801) Data 0.002 (0.003) Loss 1.8938 (2.0344) Prec@1 48.125 (47.512) Prec@5 80.000 (78.036) Epoch: [45][2360/11272] Time 0.855 (0.801) Data 0.001 (0.003) Loss 1.8369 (2.0344) Prec@1 53.125 (47.515) Prec@5 81.875 (78.039) Epoch: [45][2370/11272] Time 0.834 (0.801) Data 0.002 (0.003) Loss 2.0922 (2.0347) Prec@1 48.750 (47.512) Prec@5 74.375 (78.033) Epoch: [45][2380/11272] Time 0.708 (0.801) Data 0.001 (0.003) Loss 2.0016 (2.0345) Prec@1 46.875 (47.521) Prec@5 78.125 (78.034) Epoch: [45][2390/11272] Time 0.858 (0.801) Data 0.002 (0.003) Loss 2.3390 (2.0344) Prec@1 36.250 (47.521) Prec@5 75.000 (78.035) Epoch: [45][2400/11272] Time 0.902 (0.801) Data 0.002 (0.003) Loss 2.1747 (2.0346) Prec@1 49.375 (47.528) Prec@5 73.750 (78.031) Epoch: [45][2410/11272] Time 0.751 (0.801) Data 0.001 (0.003) Loss 1.9620 (2.0345) Prec@1 50.625 (47.532) Prec@5 78.750 (78.033) Epoch: [45][2420/11272] Time 0.736 (0.801) Data 0.001 (0.003) Loss 2.0056 (2.0346) Prec@1 46.875 (47.530) Prec@5 80.625 (78.030) Epoch: [45][2430/11272] Time 0.871 (0.801) Data 0.001 (0.003) Loss 2.1428 (2.0345) Prec@1 45.625 (47.537) Prec@5 76.250 (78.033) Epoch: [45][2440/11272] Time 0.814 (0.801) Data 0.001 (0.003) Loss 2.1003 (2.0341) Prec@1 46.250 (47.551) Prec@5 76.250 (78.041) Epoch: [45][2450/11272] Time 0.733 (0.801) Data 0.002 (0.003) Loss 2.1350 (2.0339) Prec@1 45.000 (47.556) Prec@5 78.125 (78.048) Epoch: [45][2460/11272] Time 0.734 (0.801) Data 0.001 (0.003) Loss 1.9547 (2.0339) Prec@1 48.125 (47.552) Prec@5 81.250 (78.052) Epoch: [45][2470/11272] Time 0.881 (0.801) Data 0.002 (0.003) Loss 2.2095 (2.0341) Prec@1 40.625 (47.551) Prec@5 71.875 (78.046) Epoch: [45][2480/11272] Time 0.831 (0.801) Data 0.002 (0.003) Loss 2.0427 (2.0342) Prec@1 46.250 (47.546) Prec@5 77.500 (78.043) Epoch: [45][2490/11272] Time 0.749 (0.801) Data 0.001 (0.003) Loss 2.1543 (2.0339) Prec@1 46.250 (47.553) Prec@5 72.500 (78.049) Epoch: [45][2500/11272] Time 0.764 (0.801) Data 0.002 (0.003) Loss 2.0593 (2.0341) Prec@1 48.125 (47.551) Prec@5 75.000 (78.044) Epoch: [45][2510/11272] Time 0.870 (0.801) Data 0.001 (0.003) Loss 2.0302 (2.0343) Prec@1 45.000 (47.542) Prec@5 79.375 (78.039) Epoch: [45][2520/11272] Time 0.735 (0.801) Data 0.004 (0.003) Loss 2.1413 (2.0342) Prec@1 45.000 (47.540) Prec@5 80.625 (78.041) Epoch: [45][2530/11272] Time 0.741 (0.801) Data 0.001 (0.003) Loss 2.1127 (2.0342) Prec@1 46.875 (47.539) Prec@5 77.500 (78.041) Epoch: [45][2540/11272] Time 0.818 (0.801) Data 0.001 (0.003) Loss 2.0020 (2.0343) Prec@1 48.125 (47.533) Prec@5 79.375 (78.039) Epoch: [45][2550/11272] Time 0.830 (0.801) Data 0.001 (0.003) Loss 1.8780 (2.0342) Prec@1 49.375 (47.538) Prec@5 84.375 (78.047) Epoch: [45][2560/11272] Time 0.720 (0.801) Data 0.001 (0.002) Loss 2.0521 (2.0343) Prec@1 48.125 (47.533) Prec@5 76.875 (78.042) Epoch: [45][2570/11272] Time 0.717 (0.801) Data 0.001 (0.002) Loss 2.2853 (2.0345) Prec@1 40.625 (47.531) Prec@5 73.750 (78.038) Epoch: [45][2580/11272] Time 0.893 (0.801) Data 0.001 (0.002) Loss 2.2176 (2.0342) Prec@1 45.000 (47.534) Prec@5 74.375 (78.042) Epoch: [45][2590/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 2.1536 (2.0341) Prec@1 40.625 (47.532) Prec@5 80.000 (78.046) Epoch: [45][2600/11272] Time 0.730 (0.801) Data 0.001 (0.002) Loss 2.3501 (2.0341) Prec@1 38.750 (47.530) Prec@5 75.000 (78.044) Epoch: [45][2610/11272] Time 0.744 (0.801) Data 0.001 (0.002) Loss 2.2348 (2.0342) Prec@1 43.125 (47.527) Prec@5 75.625 (78.049) Epoch: [45][2620/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 2.0655 (2.0345) Prec@1 45.625 (47.522) Prec@5 75.625 (78.043) Epoch: [45][2630/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 2.0397 (2.0346) Prec@1 45.625 (47.525) Prec@5 77.500 (78.042) Epoch: [45][2640/11272] Time 0.782 (0.800) Data 0.002 (0.002) Loss 1.7839 (2.0344) Prec@1 50.000 (47.525) Prec@5 84.375 (78.047) Epoch: [45][2650/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9682 (2.0344) Prec@1 51.875 (47.526) Prec@5 76.875 (78.049) Epoch: [45][2660/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 2.0094 (2.0345) Prec@1 46.875 (47.522) Prec@5 81.250 (78.047) Epoch: [45][2670/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.0902 (2.0347) Prec@1 44.375 (47.521) Prec@5 76.875 (78.045) Epoch: [45][2680/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.8381 (2.0349) Prec@1 51.250 (47.516) Prec@5 82.500 (78.040) Epoch: [45][2690/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.0624 (2.0349) Prec@1 47.500 (47.514) Prec@5 78.750 (78.039) Epoch: [45][2700/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.0040 (2.0349) Prec@1 44.375 (47.506) Prec@5 78.125 (78.035) Epoch: [45][2710/11272] Time 0.759 (0.800) Data 0.001 (0.002) Loss 1.9538 (2.0350) Prec@1 55.000 (47.505) Prec@5 76.250 (78.032) Epoch: [45][2720/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.2640 (2.0351) Prec@1 43.125 (47.504) Prec@5 74.375 (78.030) Epoch: [45][2730/11272] Time 0.860 (0.800) Data 0.001 (0.002) Loss 1.8549 (2.0349) Prec@1 45.625 (47.510) Prec@5 83.125 (78.028) Epoch: [45][2740/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.2110 (2.0346) Prec@1 45.625 (47.521) Prec@5 75.625 (78.037) Epoch: [45][2750/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 1.8432 (2.0347) Prec@1 49.375 (47.520) Prec@5 81.250 (78.034) Epoch: [45][2760/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 1.8310 (2.0346) Prec@1 52.500 (47.524) Prec@5 84.375 (78.039) Epoch: [45][2770/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 2.0976 (2.0349) Prec@1 43.750 (47.513) Prec@5 80.000 (78.034) Epoch: [45][2780/11272] Time 0.729 (0.800) Data 0.004 (0.002) Loss 2.1648 (2.0350) Prec@1 38.750 (47.510) Prec@5 76.875 (78.033) Epoch: [45][2790/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0829 (2.0350) Prec@1 45.625 (47.511) Prec@5 75.625 (78.028) Epoch: [45][2800/11272] Time 0.899 (0.800) Data 0.002 (0.002) Loss 2.1820 (2.0350) Prec@1 41.875 (47.504) Prec@5 75.625 (78.027) Epoch: [45][2810/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.0813 (2.0352) Prec@1 46.250 (47.498) Prec@5 78.125 (78.024) Epoch: [45][2820/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 1.9100 (2.0351) Prec@1 46.875 (47.500) Prec@5 79.375 (78.024) Epoch: [45][2830/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.3449 (2.0353) Prec@1 38.125 (47.490) Prec@5 76.250 (78.025) Epoch: [45][2840/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 2.0434 (2.0355) Prec@1 40.625 (47.482) Prec@5 78.750 (78.022) Epoch: [45][2850/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.9388 (2.0354) Prec@1 47.500 (47.483) Prec@5 80.625 (78.024) Epoch: [45][2860/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.2300 (2.0355) Prec@1 42.500 (47.482) Prec@5 74.375 (78.023) Epoch: [45][2870/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 1.8762 (2.0351) Prec@1 51.875 (47.493) Prec@5 81.875 (78.031) Epoch: [45][2880/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 1.9937 (2.0352) Prec@1 41.875 (47.495) Prec@5 79.375 (78.030) Epoch: [45][2890/11272] Time 0.805 (0.800) Data 0.001 (0.002) Loss 2.0042 (2.0349) Prec@1 46.250 (47.500) Prec@5 81.875 (78.037) Epoch: [45][2900/11272] Time 0.711 (0.800) Data 0.001 (0.002) Loss 2.0463 (2.0353) Prec@1 50.000 (47.491) Prec@5 77.500 (78.030) Epoch: [45][2910/11272] Time 0.899 (0.800) Data 0.001 (0.002) Loss 2.3195 (2.0358) Prec@1 46.875 (47.482) Prec@5 72.500 (78.023) Epoch: [45][2920/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.2956 (2.0359) Prec@1 41.250 (47.481) Prec@5 71.250 (78.022) Epoch: [45][2930/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.0447 (2.0358) Prec@1 51.875 (47.481) Prec@5 76.250 (78.019) Epoch: [45][2940/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 2.0433 (2.0359) Prec@1 46.250 (47.483) Prec@5 74.375 (78.019) Epoch: [45][2950/11272] Time 0.907 (0.800) Data 0.001 (0.002) Loss 1.7719 (2.0360) Prec@1 57.500 (47.483) Prec@5 80.000 (78.015) Epoch: [45][2960/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 1.9391 (2.0362) Prec@1 49.375 (47.474) Prec@5 78.750 (78.011) Epoch: [45][2970/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 1.9605 (2.0362) Prec@1 46.875 (47.473) Prec@5 81.875 (78.016) Epoch: [45][2980/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.2572 (2.0364) Prec@1 41.250 (47.474) Prec@5 72.500 (78.012) Epoch: [45][2990/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.9123 (2.0361) Prec@1 53.750 (47.479) Prec@5 78.750 (78.018) Epoch: [45][3000/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 1.9713 (2.0363) Prec@1 51.250 (47.477) Prec@5 80.000 (78.019) Epoch: [45][3010/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 1.9370 (2.0364) Prec@1 48.125 (47.473) Prec@5 78.750 (78.014) Epoch: [45][3020/11272] Time 0.708 (0.800) Data 0.002 (0.002) Loss 1.9319 (2.0363) Prec@1 49.375 (47.478) Prec@5 80.000 (78.016) Epoch: [45][3030/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.0507 (2.0363) Prec@1 44.375 (47.477) Prec@5 79.375 (78.019) Epoch: [45][3040/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 2.0989 (2.0366) Prec@1 51.250 (47.470) Prec@5 80.625 (78.017) Epoch: [45][3050/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 2.1909 (2.0366) Prec@1 43.750 (47.468) Prec@5 76.875 (78.016) Epoch: [45][3060/11272] Time 0.878 (0.800) Data 0.001 (0.002) Loss 1.9552 (2.0364) Prec@1 51.250 (47.473) Prec@5 78.750 (78.021) Epoch: [45][3070/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.0512 (2.0363) Prec@1 47.500 (47.474) Prec@5 81.250 (78.019) Epoch: [45][3080/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1396 (2.0364) Prec@1 44.375 (47.468) Prec@5 79.375 (78.016) Epoch: [45][3090/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.1175 (2.0364) Prec@1 43.750 (47.473) Prec@5 78.125 (78.017) Epoch: [45][3100/11272] Time 0.866 (0.800) Data 0.001 (0.002) Loss 1.9939 (2.0362) Prec@1 48.125 (47.473) Prec@5 75.625 (78.019) Epoch: [45][3110/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.9418 (2.0364) Prec@1 50.625 (47.473) Prec@5 79.375 (78.015) Epoch: [45][3120/11272] Time 0.762 (0.800) Data 0.001 (0.002) Loss 2.0091 (2.0364) Prec@1 46.875 (47.470) Prec@5 76.875 (78.015) Epoch: [45][3130/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.2732 (2.0366) Prec@1 41.250 (47.466) Prec@5 75.000 (78.012) Epoch: [45][3140/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.0633 (2.0367) Prec@1 47.500 (47.466) Prec@5 74.375 (78.009) Epoch: [45][3150/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 1.8719 (2.0365) Prec@1 51.250 (47.473) Prec@5 81.875 (78.012) Epoch: [45][3160/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 1.8745 (2.0366) Prec@1 49.375 (47.472) Prec@5 80.000 (78.012) Epoch: [45][3170/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 2.1875 (2.0367) Prec@1 48.125 (47.469) Prec@5 70.625 (78.011) Epoch: [45][3180/11272] Time 0.906 (0.800) Data 0.001 (0.002) Loss 2.1510 (2.0371) Prec@1 46.250 (47.461) Prec@5 73.125 (78.005) Epoch: [45][3190/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.3716 (2.0373) Prec@1 45.000 (47.462) Prec@5 71.250 (78.001) Epoch: [45][3200/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.2446 (2.0374) Prec@1 48.125 (47.457) Prec@5 72.500 (77.998) Epoch: [45][3210/11272] Time 0.921 (0.800) Data 0.001 (0.002) Loss 2.1499 (2.0376) Prec@1 47.500 (47.450) Prec@5 75.625 (77.993) Epoch: [45][3220/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1398 (2.0377) Prec@1 43.750 (47.451) Prec@5 80.000 (77.998) Epoch: [45][3230/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.2998 (2.0376) Prec@1 44.375 (47.450) Prec@5 72.500 (77.998) Epoch: [45][3240/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 1.8904 (2.0372) Prec@1 43.750 (47.457) Prec@5 79.375 (78.008) Epoch: [45][3250/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.2994 (2.0372) Prec@1 41.875 (47.458) Prec@5 74.375 (78.009) Epoch: [45][3260/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.1179 (2.0373) Prec@1 43.125 (47.454) Prec@5 76.875 (78.009) Epoch: [45][3270/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1281 (2.0374) Prec@1 46.250 (47.451) Prec@5 80.000 (78.010) Epoch: [45][3280/11272] Time 0.774 (0.800) Data 0.002 (0.002) Loss 1.8829 (2.0374) Prec@1 46.250 (47.451) Prec@5 85.625 (78.011) Epoch: [45][3290/11272] Time 0.819 (0.800) Data 0.001 (0.002) Loss 1.7777 (2.0374) Prec@1 52.500 (47.453) Prec@5 85.000 (78.010) Epoch: [45][3300/11272] Time 0.796 (0.800) Data 0.001 (0.002) Loss 1.9410 (2.0373) Prec@1 57.500 (47.459) Prec@5 81.875 (78.013) Epoch: [45][3310/11272] Time 0.782 (0.800) Data 0.002 (0.002) Loss 2.1087 (2.0375) Prec@1 44.375 (47.451) Prec@5 76.875 (78.011) Epoch: [45][3320/11272] Time 0.865 (0.800) Data 0.001 (0.002) Loss 1.9463 (2.0377) Prec@1 46.875 (47.445) Prec@5 76.875 (78.009) Epoch: [45][3330/11272] Time 0.865 (0.800) Data 0.001 (0.002) Loss 1.9917 (2.0377) Prec@1 43.750 (47.445) Prec@5 80.000 (78.013) Epoch: [45][3340/11272] Time 0.773 (0.800) Data 0.002 (0.002) Loss 1.9594 (2.0378) Prec@1 46.250 (47.441) Prec@5 81.250 (78.010) Epoch: [45][3350/11272] Time 0.748 (0.800) Data 0.001 (0.002) Loss 2.4708 (2.0378) Prec@1 43.125 (47.445) Prec@5 69.375 (78.005) Epoch: [45][3360/11272] Time 0.890 (0.800) Data 0.002 (0.002) Loss 1.7219 (2.0380) Prec@1 50.000 (47.440) Prec@5 85.000 (78.007) Epoch: [45][3370/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.8924 (2.0379) Prec@1 50.625 (47.443) Prec@5 80.000 (78.010) Epoch: [45][3380/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1331 (2.0380) Prec@1 36.875 (47.441) Prec@5 78.750 (78.011) Epoch: [45][3390/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.1265 (2.0379) Prec@1 48.125 (47.442) Prec@5 78.750 (78.014) Epoch: [45][3400/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 2.2189 (2.0379) Prec@1 38.125 (47.443) Prec@5 77.500 (78.016) Epoch: [45][3410/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1128 (2.0380) Prec@1 50.625 (47.440) Prec@5 76.875 (78.015) Epoch: [45][3420/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.0011 (2.0382) Prec@1 46.875 (47.434) Prec@5 79.375 (78.013) Epoch: [45][3430/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.0341 (2.0382) Prec@1 46.875 (47.430) Prec@5 79.375 (78.013) Epoch: [45][3440/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 1.9571 (2.0380) Prec@1 49.375 (47.438) Prec@5 78.125 (78.017) Epoch: [45][3450/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0192 (2.0380) Prec@1 45.625 (47.442) Prec@5 80.000 (78.017) Epoch: [45][3460/11272] Time 0.719 (0.800) Data 0.001 (0.002) Loss 2.2578 (2.0381) Prec@1 43.750 (47.441) Prec@5 75.000 (78.014) Epoch: [45][3470/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 2.0117 (2.0378) Prec@1 46.875 (47.444) Prec@5 76.250 (78.019) Epoch: [45][3480/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.9506 (2.0380) Prec@1 51.875 (47.443) Prec@5 80.625 (78.017) Epoch: [45][3490/11272] Time 0.754 (0.800) Data 0.001 (0.002) Loss 2.1771 (2.0380) Prec@1 44.375 (47.442) Prec@5 74.375 (78.013) Epoch: [45][3500/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0043 (2.0378) Prec@1 50.625 (47.447) Prec@5 79.375 (78.013) Epoch: [45][3510/11272] Time 0.876 (0.800) Data 0.001 (0.002) Loss 2.0147 (2.0380) Prec@1 48.125 (47.442) Prec@5 76.875 (78.012) Epoch: [45][3520/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.9982 (2.0378) Prec@1 46.250 (47.444) Prec@5 77.500 (78.016) Epoch: [45][3530/11272] Time 0.757 (0.800) Data 0.001 (0.002) Loss 1.8998 (2.0377) Prec@1 48.750 (47.447) Prec@5 80.625 (78.020) Epoch: [45][3540/11272] Time 0.748 (0.800) Data 0.001 (0.002) Loss 2.1237 (2.0377) Prec@1 44.375 (47.445) Prec@5 77.500 (78.018) Epoch: [45][3550/11272] Time 0.896 (0.800) Data 0.002 (0.002) Loss 1.8301 (2.0375) Prec@1 49.375 (47.448) Prec@5 82.500 (78.018) Epoch: [45][3560/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.1793 (2.0376) Prec@1 41.875 (47.444) Prec@5 76.875 (78.021) Epoch: [45][3570/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.0612 (2.0377) Prec@1 49.375 (47.440) Prec@5 79.375 (78.018) Epoch: [45][3580/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.0545 (2.0375) Prec@1 45.000 (47.446) Prec@5 79.375 (78.021) Epoch: [45][3590/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 1.9839 (2.0374) Prec@1 41.875 (47.446) Prec@5 76.250 (78.018) Epoch: [45][3600/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 2.0264 (2.0376) Prec@1 45.000 (47.442) Prec@5 78.125 (78.013) Epoch: [45][3610/11272] Time 0.751 (0.800) Data 0.001 (0.002) Loss 1.8233 (2.0376) Prec@1 51.875 (47.440) Prec@5 81.875 (78.013) Epoch: [45][3620/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.1289 (2.0377) Prec@1 48.125 (47.441) Prec@5 76.875 (78.013) Epoch: [45][3630/11272] Time 0.882 (0.800) Data 0.001 (0.002) Loss 2.1328 (2.0377) Prec@1 41.875 (47.441) Prec@5 78.125 (78.014) Epoch: [45][3640/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 1.9815 (2.0378) Prec@1 50.000 (47.441) Prec@5 75.000 (78.010) Epoch: [45][3650/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.1920 (2.0378) Prec@1 40.625 (47.442) Prec@5 78.125 (78.012) Epoch: [45][3660/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.0586 (2.0377) Prec@1 51.875 (47.443) Prec@5 76.875 (78.014) Epoch: [45][3670/11272] Time 0.870 (0.800) Data 0.001 (0.002) Loss 1.9359 (2.0377) Prec@1 50.000 (47.440) Prec@5 79.375 (78.012) Epoch: [45][3680/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 2.1783 (2.0378) Prec@1 43.750 (47.436) Prec@5 77.500 (78.011) Epoch: [45][3690/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.8560 (2.0379) Prec@1 50.625 (47.437) Prec@5 82.500 (78.007) Epoch: [45][3700/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0289 (2.0379) Prec@1 46.875 (47.435) Prec@5 78.750 (78.009) Epoch: [45][3710/11272] Time 0.724 (0.800) Data 0.003 (0.002) Loss 2.0405 (2.0379) Prec@1 46.875 (47.435) Prec@5 75.000 (78.009) Epoch: [45][3720/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0011 (2.0378) Prec@1 48.750 (47.434) Prec@5 75.000 (78.009) Epoch: [45][3730/11272] Time 0.919 (0.800) Data 0.001 (0.002) Loss 2.2365 (2.0382) Prec@1 43.750 (47.425) Prec@5 73.125 (78.003) Epoch: [45][3740/11272] Time 0.878 (0.800) Data 0.002 (0.002) Loss 1.9529 (2.0382) Prec@1 55.625 (47.426) Prec@5 83.125 (78.001) Epoch: [45][3750/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.3530 (2.0384) Prec@1 39.375 (47.425) Prec@5 74.375 (77.997) Epoch: [45][3760/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1208 (2.0386) Prec@1 45.625 (47.421) Prec@5 77.500 (77.994) Epoch: [45][3770/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 2.0574 (2.0386) Prec@1 49.375 (47.420) Prec@5 79.375 (77.994) Epoch: [45][3780/11272] Time 0.867 (0.800) Data 0.001 (0.002) Loss 1.8044 (2.0389) Prec@1 55.625 (47.415) Prec@5 82.500 (77.988) Epoch: [45][3790/11272] Time 0.784 (0.800) Data 0.001 (0.002) Loss 1.6485 (2.0389) Prec@1 56.875 (47.417) Prec@5 83.750 (77.989) Epoch: [45][3800/11272] Time 0.772 (0.800) Data 0.002 (0.002) Loss 1.8043 (2.0388) Prec@1 54.375 (47.420) Prec@5 82.500 (77.993) Epoch: [45][3810/11272] Time 0.843 (0.800) Data 0.001 (0.002) Loss 2.1406 (2.0386) Prec@1 48.125 (47.422) Prec@5 73.750 (77.991) Epoch: [45][3820/11272] Time 0.870 (0.800) Data 0.001 (0.002) Loss 1.8850 (2.0385) Prec@1 52.500 (47.424) Prec@5 80.000 (77.992) Epoch: [45][3830/11272] Time 0.759 (0.800) Data 0.002 (0.002) Loss 2.2323 (2.0386) Prec@1 43.125 (47.421) Prec@5 75.000 (77.991) Epoch: [45][3840/11272] Time 0.867 (0.800) Data 0.001 (0.002) Loss 2.0475 (2.0387) Prec@1 49.375 (47.420) Prec@5 76.875 (77.989) Epoch: [45][3850/11272] Time 0.890 (0.800) Data 0.002 (0.002) Loss 2.1228 (2.0388) Prec@1 46.875 (47.415) Prec@5 75.625 (77.986) Epoch: [45][3860/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.0907 (2.0388) Prec@1 40.625 (47.412) Prec@5 76.250 (77.984) Epoch: [45][3870/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.0128 (2.0388) Prec@1 48.125 (47.413) Prec@5 78.750 (77.987) Epoch: [45][3880/11272] Time 0.843 (0.800) Data 0.001 (0.002) Loss 2.2095 (2.0387) Prec@1 46.875 (47.417) Prec@5 75.000 (77.988) Epoch: [45][3890/11272] Time 0.830 (0.800) Data 0.002 (0.002) Loss 2.0913 (2.0387) Prec@1 42.500 (47.416) Prec@5 76.875 (77.990) Epoch: [45][3900/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.2800 (2.0388) Prec@1 44.375 (47.413) Prec@5 74.375 (77.989) Epoch: [45][3910/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.9362 (2.0388) Prec@1 47.500 (47.410) Prec@5 81.250 (77.986) Epoch: [45][3920/11272] Time 0.861 (0.800) Data 0.002 (0.002) Loss 2.0841 (2.0388) Prec@1 51.875 (47.409) Prec@5 77.500 (77.986) Epoch: [45][3930/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 2.0526 (2.0388) Prec@1 49.375 (47.410) Prec@5 76.875 (77.984) Epoch: [45][3940/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.9894 (2.0389) Prec@1 46.875 (47.406) Prec@5 80.625 (77.981) Epoch: [45][3950/11272] Time 0.758 (0.800) Data 0.001 (0.002) Loss 1.9209 (2.0388) Prec@1 48.750 (47.408) Prec@5 81.250 (77.983) Epoch: [45][3960/11272] Time 0.861 (0.800) Data 0.002 (0.002) Loss 2.1219 (2.0385) Prec@1 45.000 (47.411) Prec@5 76.875 (77.988) Epoch: [45][3970/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.0945 (2.0386) Prec@1 44.375 (47.413) Prec@5 73.750 (77.987) Epoch: [45][3980/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0590 (2.0388) Prec@1 46.250 (47.406) Prec@5 77.500 (77.983) Epoch: [45][3990/11272] Time 0.886 (0.800) Data 0.002 (0.002) Loss 2.1419 (2.0388) Prec@1 47.500 (47.409) Prec@5 75.000 (77.982) Epoch: [45][4000/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 2.1824 (2.0388) Prec@1 42.500 (47.404) Prec@5 78.125 (77.981) Epoch: [45][4010/11272] Time 0.770 (0.800) Data 0.001 (0.002) Loss 1.8957 (2.0389) Prec@1 50.000 (47.407) Prec@5 80.000 (77.979) Epoch: [45][4020/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.0128 (2.0390) Prec@1 46.875 (47.404) Prec@5 76.875 (77.978) Epoch: [45][4030/11272] Time 0.817 (0.800) Data 0.002 (0.002) Loss 1.8559 (2.0390) Prec@1 46.875 (47.401) Prec@5 81.250 (77.977) Epoch: [45][4040/11272] Time 0.843 (0.800) Data 0.001 (0.002) Loss 1.9627 (2.0391) Prec@1 50.625 (47.401) Prec@5 75.625 (77.975) Epoch: [45][4050/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 1.9564 (2.0390) Prec@1 51.875 (47.407) Prec@5 79.375 (77.972) Epoch: [45][4060/11272] Time 0.759 (0.800) Data 0.001 (0.002) Loss 2.0106 (2.0390) Prec@1 48.125 (47.407) Prec@5 78.125 (77.974) Epoch: [45][4070/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.1687 (2.0392) Prec@1 50.000 (47.405) Prec@5 77.500 (77.972) Epoch: [45][4080/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.2330 (2.0393) Prec@1 44.375 (47.406) Prec@5 72.500 (77.968) Epoch: [45][4090/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.2490 (2.0394) Prec@1 43.125 (47.405) Prec@5 76.875 (77.966) Epoch: [45][4100/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 2.1286 (2.0396) Prec@1 43.750 (47.404) Prec@5 76.875 (77.960) Epoch: [45][4110/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.1096 (2.0397) Prec@1 45.000 (47.399) Prec@5 74.375 (77.958) Epoch: [45][4120/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 1.9694 (2.0399) Prec@1 48.750 (47.397) Prec@5 78.750 (77.953) Epoch: [45][4130/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 1.9993 (2.0399) Prec@1 48.750 (47.395) Prec@5 76.875 (77.949) Epoch: [45][4140/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.1918 (2.0398) Prec@1 43.750 (47.398) Prec@5 75.625 (77.951) Epoch: [45][4150/11272] Time 0.899 (0.800) Data 0.001 (0.002) Loss 2.1890 (2.0399) Prec@1 48.750 (47.397) Prec@5 75.625 (77.947) Epoch: [45][4160/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 1.9656 (2.0399) Prec@1 46.875 (47.398) Prec@5 78.750 (77.946) Epoch: [45][4170/11272] Time 0.755 (0.800) Data 0.002 (0.002) Loss 2.1247 (2.0396) Prec@1 45.625 (47.403) Prec@5 75.625 (77.951) Epoch: [45][4180/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 1.9416 (2.0396) Prec@1 52.500 (47.407) Prec@5 78.750 (77.948) Epoch: [45][4190/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 1.9949 (2.0395) Prec@1 47.500 (47.410) Prec@5 77.500 (77.950) Epoch: [45][4200/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.0740 (2.0395) Prec@1 46.250 (47.410) Prec@5 81.250 (77.951) Epoch: [45][4210/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 1.7513 (2.0394) Prec@1 56.250 (47.414) Prec@5 81.875 (77.954) Epoch: [45][4220/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.1367 (2.0394) Prec@1 42.500 (47.412) Prec@5 75.625 (77.954) Epoch: [45][4230/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 1.9465 (2.0393) Prec@1 49.375 (47.412) Prec@5 80.000 (77.955) Epoch: [45][4240/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 1.9262 (2.0393) Prec@1 50.625 (47.414) Prec@5 78.750 (77.956) Epoch: [45][4250/11272] Time 0.874 (0.800) Data 0.001 (0.002) Loss 2.0534 (2.0393) Prec@1 42.500 (47.413) Prec@5 81.250 (77.958) Epoch: [45][4260/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 1.9537 (2.0394) Prec@1 48.750 (47.416) Prec@5 80.625 (77.957) Epoch: [45][4270/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.0143 (2.0395) Prec@1 49.375 (47.411) Prec@5 76.875 (77.957) Epoch: [45][4280/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.2451 (2.0396) Prec@1 45.625 (47.407) Prec@5 74.375 (77.955) Epoch: [45][4290/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2503 (2.0395) Prec@1 43.750 (47.411) Prec@5 73.125 (77.956) Epoch: [45][4300/11272] Time 0.861 (0.800) Data 0.002 (0.002) Loss 1.9089 (2.0396) Prec@1 48.750 (47.413) Prec@5 81.875 (77.953) Epoch: [45][4310/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 1.9618 (2.0395) Prec@1 48.125 (47.415) Prec@5 78.750 (77.955) Epoch: [45][4320/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 2.0105 (2.0397) Prec@1 50.625 (47.416) Prec@5 73.750 (77.952) Epoch: [45][4330/11272] Time 0.868 (0.800) Data 0.001 (0.002) Loss 2.0841 (2.0397) Prec@1 45.625 (47.415) Prec@5 75.000 (77.951) Epoch: [45][4340/11272] Time 0.798 (0.800) Data 0.001 (0.002) Loss 1.9751 (2.0397) Prec@1 51.875 (47.415) Prec@5 76.875 (77.949) Epoch: [45][4350/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.8487 (2.0396) Prec@1 49.375 (47.414) Prec@5 82.500 (77.947) Epoch: [45][4360/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9217 (2.0396) Prec@1 46.875 (47.413) Prec@5 82.500 (77.947) Epoch: [45][4370/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 1.8057 (2.0397) Prec@1 51.875 (47.412) Prec@5 82.500 (77.945) Epoch: [45][4380/11272] Time 0.753 (0.800) Data 0.004 (0.002) Loss 2.1023 (2.0398) Prec@1 46.250 (47.411) Prec@5 75.625 (77.942) Epoch: [45][4390/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.8527 (2.0397) Prec@1 55.000 (47.416) Prec@5 79.375 (77.943) Epoch: [45][4400/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 1.9860 (2.0397) Prec@1 49.375 (47.419) Prec@5 81.250 (77.945) Epoch: [45][4410/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 2.3384 (2.0398) Prec@1 43.125 (47.417) Prec@5 68.750 (77.945) Epoch: [45][4420/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.2336 (2.0398) Prec@1 50.000 (47.417) Prec@5 73.125 (77.941) Epoch: [45][4430/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.1672 (2.0398) Prec@1 48.125 (47.415) Prec@5 76.250 (77.942) Epoch: [45][4440/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0564 (2.0397) Prec@1 47.500 (47.418) Prec@5 72.500 (77.944) Epoch: [45][4450/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.3193 (2.0398) Prec@1 40.625 (47.415) Prec@5 73.750 (77.943) Epoch: [45][4460/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 1.9355 (2.0399) Prec@1 49.375 (47.414) Prec@5 78.750 (77.941) Epoch: [45][4470/11272] Time 0.795 (0.800) Data 0.002 (0.002) Loss 1.8446 (2.0398) Prec@1 51.875 (47.419) Prec@5 81.875 (77.944) Epoch: [45][4480/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 1.9573 (2.0398) Prec@1 50.000 (47.420) Prec@5 80.000 (77.944) Epoch: [45][4490/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.1326 (2.0400) Prec@1 43.125 (47.417) Prec@5 74.375 (77.941) Epoch: [45][4500/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 2.1133 (2.0402) Prec@1 44.375 (47.414) Prec@5 73.750 (77.940) Epoch: [45][4510/11272] Time 0.860 (0.800) Data 0.001 (0.002) Loss 2.0143 (2.0402) Prec@1 43.750 (47.411) Prec@5 79.375 (77.940) Epoch: [45][4520/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 2.0897 (2.0403) Prec@1 48.750 (47.411) Prec@5 75.625 (77.937) Epoch: [45][4530/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 1.9430 (2.0405) Prec@1 55.625 (47.407) Prec@5 78.750 (77.932) Epoch: [45][4540/11272] Time 0.710 (0.800) Data 0.001 (0.002) Loss 2.2273 (2.0406) Prec@1 43.125 (47.407) Prec@5 75.000 (77.930) Epoch: [45][4550/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.0137 (2.0404) Prec@1 47.500 (47.409) Prec@5 77.500 (77.931) Epoch: [45][4560/11272] Time 0.828 (0.800) Data 0.002 (0.002) Loss 2.1253 (2.0405) Prec@1 46.250 (47.411) Prec@5 76.875 (77.932) Epoch: [45][4570/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.1829 (2.0406) Prec@1 48.750 (47.410) Prec@5 75.000 (77.930) Epoch: [45][4580/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9418 (2.0408) Prec@1 51.250 (47.406) Prec@5 78.750 (77.928) Epoch: [45][4590/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.0571 (2.0409) Prec@1 48.125 (47.407) Prec@5 75.625 (77.927) Epoch: [45][4600/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.0927 (2.0410) Prec@1 51.250 (47.406) Prec@5 76.875 (77.923) Epoch: [45][4610/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.9695 (2.0409) Prec@1 46.250 (47.407) Prec@5 78.750 (77.924) Epoch: [45][4620/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.1100 (2.0410) Prec@1 41.875 (47.406) Prec@5 73.125 (77.922) Epoch: [45][4630/11272] Time 0.936 (0.800) Data 0.001 (0.002) Loss 2.2235 (2.0408) Prec@1 43.125 (47.412) Prec@5 74.375 (77.924) Epoch: [45][4640/11272] Time 0.728 (0.800) Data 0.003 (0.002) Loss 2.0678 (2.0407) Prec@1 44.375 (47.414) Prec@5 75.625 (77.925) Epoch: [45][4650/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9250 (2.0408) Prec@1 48.125 (47.415) Prec@5 80.625 (77.926) Epoch: [45][4660/11272] Time 0.864 (0.800) Data 0.001 (0.002) Loss 2.1945 (2.0410) Prec@1 45.000 (47.409) Prec@5 76.875 (77.923) Epoch: [45][4670/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.9514 (2.0410) Prec@1 48.125 (47.408) Prec@5 78.750 (77.922) Epoch: [45][4680/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 1.8694 (2.0410) Prec@1 51.875 (47.411) Prec@5 75.625 (77.921) Epoch: [45][4690/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.0309 (2.0408) Prec@1 47.500 (47.417) Prec@5 80.625 (77.923) Epoch: [45][4700/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 1.9125 (2.0408) Prec@1 45.625 (47.416) Prec@5 78.125 (77.924) Epoch: [45][4710/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 2.0656 (2.0409) Prec@1 45.625 (47.414) Prec@5 76.875 (77.922) Epoch: [45][4720/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 1.9430 (2.0411) Prec@1 49.375 (47.410) Prec@5 79.375 (77.918) Epoch: [45][4730/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0488 (2.0411) Prec@1 46.250 (47.411) Prec@5 75.625 (77.917) Epoch: [45][4740/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.1131 (2.0411) Prec@1 48.750 (47.413) Prec@5 79.375 (77.915) Epoch: [45][4750/11272] Time 0.819 (0.800) Data 0.001 (0.002) Loss 2.2331 (2.0410) Prec@1 43.750 (47.415) Prec@5 73.750 (77.917) Epoch: [45][4760/11272] Time 0.783 (0.800) Data 0.002 (0.002) Loss 1.8834 (2.0409) Prec@1 50.625 (47.419) Prec@5 83.750 (77.920) Epoch: [45][4770/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.0801 (2.0409) Prec@1 47.500 (47.419) Prec@5 80.000 (77.921) Epoch: [45][4780/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 1.9301 (2.0409) Prec@1 48.125 (47.417) Prec@5 79.375 (77.919) Epoch: [45][4790/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 1.9571 (2.0408) Prec@1 53.750 (47.422) Prec@5 80.000 (77.919) Epoch: [45][4800/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.1894 (2.0409) Prec@1 40.625 (47.421) Prec@5 78.750 (77.919) Epoch: [45][4810/11272] Time 0.863 (0.800) Data 0.001 (0.002) Loss 1.8477 (2.0409) Prec@1 50.000 (47.420) Prec@5 81.250 (77.919) Epoch: [45][4820/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 1.9048 (2.0409) Prec@1 46.250 (47.416) Prec@5 80.625 (77.920) Epoch: [45][4830/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.1599 (2.0410) Prec@1 49.375 (47.413) Prec@5 76.250 (77.920) Epoch: [45][4840/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.5017 (2.0412) Prec@1 41.875 (47.410) Prec@5 73.125 (77.917) Epoch: [45][4850/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.9937 (2.0413) Prec@1 50.625 (47.410) Prec@5 79.375 (77.916) Epoch: [45][4860/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.0025 (2.0413) Prec@1 48.125 (47.410) Prec@5 77.500 (77.915) Epoch: [45][4870/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 1.9436 (2.0412) Prec@1 52.500 (47.408) Prec@5 77.500 (77.915) Epoch: [45][4880/11272] Time 0.718 (0.800) Data 0.002 (0.002) Loss 1.8631 (2.0413) Prec@1 44.375 (47.406) Prec@5 82.500 (77.914) Epoch: [45][4890/11272] Time 0.812 (0.800) Data 0.001 (0.002) Loss 1.9399 (2.0412) Prec@1 50.000 (47.407) Prec@5 76.875 (77.915) Epoch: [45][4900/11272] Time 0.811 (0.799) Data 0.002 (0.002) Loss 2.1003 (2.0414) Prec@1 48.125 (47.402) Prec@5 79.375 (77.913) Epoch: [45][4910/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 2.1575 (2.0415) Prec@1 49.375 (47.405) Prec@5 75.000 (77.913) Epoch: [45][4920/11272] Time 0.890 (0.799) Data 0.001 (0.002) Loss 2.1808 (2.0416) Prec@1 45.000 (47.404) Prec@5 73.750 (77.911) Epoch: [45][4930/11272] Time 0.843 (0.799) Data 0.002 (0.002) Loss 2.0584 (2.0416) Prec@1 48.125 (47.404) Prec@5 76.875 (77.911) Epoch: [45][4940/11272] Time 0.746 (0.799) Data 0.001 (0.002) Loss 1.8901 (2.0415) Prec@1 53.125 (47.411) Prec@5 80.000 (77.912) Epoch: [45][4950/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.9344 (2.0415) Prec@1 51.875 (47.412) Prec@5 80.000 (77.912) Epoch: [45][4960/11272] Time 0.898 (0.799) Data 0.002 (0.002) Loss 2.1528 (2.0416) Prec@1 46.875 (47.412) Prec@5 76.250 (77.909) Epoch: [45][4970/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.8233 (2.0415) Prec@1 52.500 (47.414) Prec@5 82.500 (77.908) Epoch: [45][4980/11272] Time 0.734 (0.799) Data 0.001 (0.002) Loss 2.0624 (2.0415) Prec@1 43.125 (47.411) Prec@5 75.000 (77.905) Epoch: [45][4990/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 2.2175 (2.0417) Prec@1 41.250 (47.410) Prec@5 75.625 (77.903) Epoch: [45][5000/11272] Time 0.844 (0.799) Data 0.001 (0.002) Loss 1.8792 (2.0416) Prec@1 49.375 (47.413) Prec@5 80.625 (77.903) Epoch: [45][5010/11272] Time 0.937 (0.800) Data 0.001 (0.002) Loss 2.0841 (2.0416) Prec@1 48.125 (47.412) Prec@5 75.000 (77.903) Epoch: [45][5020/11272] Time 0.755 (0.800) Data 0.001 (0.002) Loss 1.7514 (2.0414) Prec@1 53.750 (47.415) Prec@5 81.875 (77.905) Epoch: [45][5030/11272] Time 0.769 (0.800) Data 0.002 (0.002) Loss 2.2008 (2.0414) Prec@1 44.375 (47.418) Prec@5 74.375 (77.908) Epoch: [45][5040/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 2.0849 (2.0414) Prec@1 48.750 (47.416) Prec@5 80.000 (77.907) Epoch: [45][5050/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.1875 (2.0415) Prec@1 43.750 (47.413) Prec@5 72.500 (77.905) Epoch: [45][5060/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.9619 (2.0415) Prec@1 50.000 (47.410) Prec@5 77.500 (77.904) Epoch: [45][5070/11272] Time 0.869 (0.800) Data 0.001 (0.002) Loss 1.9568 (2.0414) Prec@1 53.125 (47.412) Prec@5 80.625 (77.903) Epoch: [45][5080/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.1248 (2.0414) Prec@1 45.000 (47.411) Prec@5 73.750 (77.904) Epoch: [45][5090/11272] Time 0.776 (0.800) Data 0.001 (0.002) Loss 2.3230 (2.0415) Prec@1 37.500 (47.405) Prec@5 72.500 (77.903) Epoch: [45][5100/11272] Time 0.742 (0.800) Data 0.003 (0.002) Loss 2.0097 (2.0415) Prec@1 46.250 (47.403) Prec@5 78.750 (77.907) Epoch: [45][5110/11272] Time 0.897 (0.800) Data 0.002 (0.002) Loss 1.8757 (2.0416) Prec@1 55.000 (47.401) Prec@5 78.750 (77.905) Epoch: [45][5120/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0470 (2.0415) Prec@1 48.125 (47.401) Prec@5 76.250 (77.906) Epoch: [45][5130/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.2685 (2.0414) Prec@1 43.125 (47.403) Prec@5 73.750 (77.906) Epoch: [45][5140/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0669 (2.0414) Prec@1 46.250 (47.401) Prec@5 74.375 (77.909) Epoch: [45][5150/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.2217 (2.0415) Prec@1 39.375 (47.398) Prec@5 79.375 (77.907) Epoch: [45][5160/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 2.0747 (2.0415) Prec@1 46.250 (47.397) Prec@5 77.500 (77.910) Epoch: [45][5170/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0834 (2.0416) Prec@1 43.750 (47.394) Prec@5 76.875 (77.910) Epoch: [45][5180/11272] Time 0.865 (0.800) Data 0.001 (0.002) Loss 2.1145 (2.0416) Prec@1 51.250 (47.393) Prec@5 76.875 (77.909) Epoch: [45][5190/11272] Time 0.823 (0.800) Data 0.002 (0.002) Loss 2.0331 (2.0417) Prec@1 43.125 (47.390) Prec@5 79.375 (77.906) Epoch: [45][5200/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.3547 (2.0417) Prec@1 40.625 (47.390) Prec@5 70.000 (77.907) Epoch: [45][5210/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 2.1027 (2.0418) Prec@1 45.625 (47.390) Prec@5 73.750 (77.902) Epoch: [45][5220/11272] Time 0.878 (0.800) Data 0.001 (0.002) Loss 2.0782 (2.0418) Prec@1 50.000 (47.391) Prec@5 78.750 (77.902) Epoch: [45][5230/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 2.2478 (2.0419) Prec@1 48.125 (47.392) Prec@5 73.125 (77.900) Epoch: [45][5240/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.3178 (2.0419) Prec@1 35.000 (47.391) Prec@5 74.375 (77.899) Epoch: [45][5250/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.1138 (2.0420) Prec@1 45.625 (47.387) Prec@5 76.250 (77.899) Epoch: [45][5260/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 1.9656 (2.0421) Prec@1 50.000 (47.387) Prec@5 76.875 (77.896) Epoch: [45][5270/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.3722 (2.0423) Prec@1 43.125 (47.383) Prec@5 72.500 (77.894) Epoch: [45][5280/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.8957 (2.0423) Prec@1 50.625 (47.385) Prec@5 80.625 (77.893) Epoch: [45][5290/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.1057 (2.0424) Prec@1 50.625 (47.383) Prec@5 79.375 (77.893) Epoch: [45][5300/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.2499 (2.0424) Prec@1 43.750 (47.383) Prec@5 72.500 (77.892) Epoch: [45][5310/11272] Time 0.726 (0.800) Data 0.003 (0.002) Loss 2.1318 (2.0425) Prec@1 43.125 (47.383) Prec@5 77.500 (77.893) Epoch: [45][5320/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.0180 (2.0425) Prec@1 48.125 (47.382) Prec@5 78.125 (77.891) Epoch: [45][5330/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.0723 (2.0425) Prec@1 48.125 (47.383) Prec@5 75.000 (77.892) Epoch: [45][5340/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.0650 (2.0425) Prec@1 46.875 (47.384) Prec@5 79.375 (77.893) Epoch: [45][5350/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 1.9931 (2.0424) Prec@1 46.250 (47.385) Prec@5 82.500 (77.895) Epoch: [45][5360/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.3421 (2.0425) Prec@1 40.625 (47.381) Prec@5 71.875 (77.891) Epoch: [45][5370/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 2.0761 (2.0426) Prec@1 44.375 (47.381) Prec@5 77.500 (77.888) Epoch: [45][5380/11272] Time 0.863 (0.800) Data 0.002 (0.002) Loss 2.0318 (2.0427) Prec@1 48.125 (47.379) Prec@5 76.250 (77.887) Epoch: [45][5390/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 1.8606 (2.0427) Prec@1 51.875 (47.377) Prec@5 78.750 (77.887) Epoch: [45][5400/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1120 (2.0426) Prec@1 47.500 (47.378) Prec@5 75.000 (77.888) Epoch: [45][5410/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.1554 (2.0426) Prec@1 47.500 (47.378) Prec@5 76.250 (77.888) Epoch: [45][5420/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.0667 (2.0426) Prec@1 45.625 (47.378) Prec@5 76.250 (77.886) Epoch: [45][5430/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.1269 (2.0427) Prec@1 45.000 (47.376) Prec@5 76.875 (77.885) Epoch: [45][5440/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 2.0093 (2.0429) Prec@1 49.375 (47.375) Prec@5 73.125 (77.880) Epoch: [45][5450/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.1100 (2.0429) Prec@1 50.625 (47.375) Prec@5 80.000 (77.883) Epoch: [45][5460/11272] Time 0.760 (0.800) Data 0.001 (0.002) Loss 1.8920 (2.0429) Prec@1 52.500 (47.376) Prec@5 79.375 (77.881) Epoch: [45][5470/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 1.8740 (2.0428) Prec@1 51.250 (47.377) Prec@5 80.625 (77.883) Epoch: [45][5480/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 1.9193 (2.0428) Prec@1 55.000 (47.379) Prec@5 80.625 (77.885) Epoch: [45][5490/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 2.1153 (2.0428) Prec@1 43.750 (47.378) Prec@5 74.375 (77.885) Epoch: [45][5500/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.1231 (2.0428) Prec@1 43.750 (47.379) Prec@5 76.250 (77.883) Epoch: [45][5510/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 1.9615 (2.0429) Prec@1 52.500 (47.378) Prec@5 76.250 (77.881) Epoch: [45][5520/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 2.1326 (2.0428) Prec@1 45.625 (47.381) Prec@5 75.625 (77.883) Epoch: [45][5530/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 1.8367 (2.0429) Prec@1 58.125 (47.381) Prec@5 81.875 (77.882) Epoch: [45][5540/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.1417 (2.0429) Prec@1 44.375 (47.381) Prec@5 78.750 (77.882) Epoch: [45][5550/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.2002 (2.0429) Prec@1 43.750 (47.380) Prec@5 75.625 (77.883) Epoch: [45][5560/11272] Time 0.899 (0.800) Data 0.002 (0.002) Loss 2.1526 (2.0429) Prec@1 45.625 (47.380) Prec@5 75.000 (77.886) Epoch: [45][5570/11272] Time 0.728 (0.800) Data 0.003 (0.002) Loss 1.8169 (2.0428) Prec@1 50.625 (47.381) Prec@5 81.250 (77.886) Epoch: [45][5580/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.0683 (2.0428) Prec@1 45.625 (47.379) Prec@5 78.125 (77.884) Epoch: [45][5590/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.2340 (2.0429) Prec@1 46.875 (47.378) Prec@5 75.000 (77.883) Epoch: [45][5600/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.1451 (2.0431) Prec@1 40.625 (47.373) Prec@5 78.125 (77.881) Epoch: [45][5610/11272] Time 0.785 (0.800) Data 0.002 (0.002) Loss 1.9704 (2.0432) Prec@1 50.000 (47.369) Prec@5 76.875 (77.877) Epoch: [45][5620/11272] Time 0.770 (0.800) Data 0.002 (0.002) Loss 1.9820 (2.0431) Prec@1 49.375 (47.373) Prec@5 79.375 (77.879) Epoch: [45][5630/11272] Time 0.866 (0.800) Data 0.001 (0.002) Loss 2.2615 (2.0432) Prec@1 40.625 (47.373) Prec@5 73.125 (77.878) Epoch: [45][5640/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.7705 (2.0431) Prec@1 53.750 (47.376) Prec@5 81.875 (77.882) Epoch: [45][5650/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.0106 (2.0430) Prec@1 48.750 (47.379) Prec@5 76.875 (77.883) Epoch: [45][5660/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.9820 (2.0431) Prec@1 51.250 (47.377) Prec@5 77.500 (77.882) Epoch: [45][5670/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0968 (2.0432) Prec@1 46.875 (47.376) Prec@5 77.500 (77.881) Epoch: [45][5680/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 2.0561 (2.0434) Prec@1 46.250 (47.373) Prec@5 77.500 (77.877) Epoch: [45][5690/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.4088 (2.0435) Prec@1 37.500 (47.368) Prec@5 71.875 (77.873) Epoch: [45][5700/11272] Time 0.879 (0.800) Data 0.001 (0.002) Loss 1.9105 (2.0435) Prec@1 48.750 (47.369) Prec@5 81.250 (77.874) Epoch: [45][5710/11272] Time 0.884 (0.800) Data 0.001 (0.002) Loss 1.8202 (2.0436) Prec@1 51.875 (47.368) Prec@5 80.625 (77.872) Epoch: [45][5720/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.2516 (2.0437) Prec@1 39.375 (47.366) Prec@5 73.125 (77.871) Epoch: [45][5730/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.3020 (2.0437) Prec@1 44.375 (47.364) Prec@5 75.000 (77.871) Epoch: [45][5740/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 2.2090 (2.0439) Prec@1 43.125 (47.362) Prec@5 75.000 (77.870) Epoch: [45][5750/11272] Time 0.860 (0.800) Data 0.001 (0.002) Loss 2.2246 (2.0439) Prec@1 45.625 (47.361) Prec@5 73.125 (77.868) Epoch: [45][5760/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.2547 (2.0438) Prec@1 37.500 (47.361) Prec@5 75.000 (77.871) Epoch: [45][5770/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.1693 (2.0439) Prec@1 45.625 (47.358) Prec@5 78.750 (77.871) Epoch: [45][5780/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 2.0963 (2.0440) Prec@1 45.000 (47.355) Prec@5 79.375 (77.867) Epoch: [45][5790/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.0587 (2.0439) Prec@1 45.625 (47.354) Prec@5 75.000 (77.867) Epoch: [45][5800/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 2.3192 (2.0440) Prec@1 38.125 (47.353) Prec@5 71.875 (77.867) Epoch: [45][5810/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 2.2308 (2.0440) Prec@1 40.000 (47.351) Prec@5 73.750 (77.865) Epoch: [45][5820/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 1.8637 (2.0440) Prec@1 46.875 (47.351) Prec@5 78.125 (77.864) Epoch: [45][5830/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 2.0650 (2.0439) Prec@1 44.375 (47.351) Prec@5 75.625 (77.866) Epoch: [45][5840/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.3275 (2.0442) Prec@1 39.375 (47.347) Prec@5 74.375 (77.863) Epoch: [45][5850/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 2.2050 (2.0442) Prec@1 44.375 (47.349) Prec@5 74.375 (77.864) Epoch: [45][5860/11272] Time 0.885 (0.800) Data 0.002 (0.002) Loss 1.9919 (2.0442) Prec@1 45.625 (47.347) Prec@5 79.375 (77.865) Epoch: [45][5870/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.9998 (2.0442) Prec@1 45.625 (47.345) Prec@5 78.750 (77.865) Epoch: [45][5880/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.0635 (2.0442) Prec@1 46.250 (47.343) Prec@5 80.625 (77.864) Epoch: [45][5890/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.0396 (2.0445) Prec@1 48.750 (47.339) Prec@5 77.500 (77.861) Epoch: [45][5900/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.0198 (2.0445) Prec@1 42.500 (47.337) Prec@5 76.875 (77.861) Epoch: [45][5910/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 2.2942 (2.0446) Prec@1 42.500 (47.337) Prec@5 75.000 (77.860) Epoch: [45][5920/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9724 (2.0447) Prec@1 53.125 (47.336) Prec@5 78.750 (77.859) Epoch: [45][5930/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.0196 (2.0447) Prec@1 50.000 (47.336) Prec@5 80.000 (77.859) Epoch: [45][5940/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.2967 (2.0448) Prec@1 40.000 (47.332) Prec@5 70.625 (77.857) Epoch: [45][5950/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.1039 (2.0450) Prec@1 47.500 (47.328) Prec@5 76.250 (77.853) Epoch: [45][5960/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.1224 (2.0450) Prec@1 40.625 (47.329) Prec@5 76.250 (77.851) Epoch: [45][5970/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.0902 (2.0450) Prec@1 46.250 (47.327) Prec@5 79.375 (77.850) Epoch: [45][5980/11272] Time 0.773 (0.800) Data 0.002 (0.002) Loss 2.1725 (2.0451) Prec@1 44.375 (47.329) Prec@5 75.000 (77.846) Epoch: [45][5990/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0484 (2.0451) Prec@1 48.750 (47.326) Prec@5 76.875 (77.844) Epoch: [45][6000/11272] Time 0.864 (0.800) Data 0.001 (0.002) Loss 2.0408 (2.0450) Prec@1 45.000 (47.328) Prec@5 78.750 (77.847) Epoch: [45][6010/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.0564 (2.0450) Prec@1 46.250 (47.326) Prec@5 75.625 (77.847) Epoch: [45][6020/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.0124 (2.0452) Prec@1 43.750 (47.321) Prec@5 78.125 (77.842) Epoch: [45][6030/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.3136 (2.0453) Prec@1 38.750 (47.316) Prec@5 73.125 (77.841) Epoch: [45][6040/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.1671 (2.0454) Prec@1 46.875 (47.316) Prec@5 73.750 (77.840) Epoch: [45][6050/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 1.9424 (2.0453) Prec@1 50.625 (47.317) Prec@5 79.375 (77.842) Epoch: [45][6060/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.2457 (2.0454) Prec@1 43.125 (47.314) Prec@5 78.125 (77.839) Epoch: [45][6070/11272] Time 0.745 (0.800) Data 0.001 (0.002) Loss 2.3196 (2.0455) Prec@1 43.125 (47.313) Prec@5 73.125 (77.837) Epoch: [45][6080/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 1.9884 (2.0454) Prec@1 50.625 (47.314) Prec@5 80.000 (77.838) Epoch: [45][6090/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.0371 (2.0456) Prec@1 48.125 (47.311) Prec@5 76.875 (77.835) Epoch: [45][6100/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 1.9203 (2.0457) Prec@1 48.750 (47.307) Prec@5 81.875 (77.833) Epoch: [45][6110/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 1.8087 (2.0456) Prec@1 51.250 (47.308) Prec@5 80.000 (77.833) Epoch: [45][6120/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 2.2913 (2.0458) Prec@1 40.000 (47.302) Prec@5 77.500 (77.832) Epoch: [45][6130/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.0869 (2.0458) Prec@1 45.625 (47.300) Prec@5 78.750 (77.834) Epoch: [45][6140/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.1633 (2.0459) Prec@1 46.250 (47.299) Prec@5 75.625 (77.836) Epoch: [45][6150/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0285 (2.0459) Prec@1 49.375 (47.299) Prec@5 80.000 (77.835) Epoch: [45][6160/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 1.6899 (2.0460) Prec@1 56.250 (47.299) Prec@5 83.750 (77.834) Epoch: [45][6170/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.1507 (2.0460) Prec@1 42.500 (47.300) Prec@5 77.500 (77.833) Epoch: [45][6180/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.1404 (2.0460) Prec@1 45.000 (47.300) Prec@5 76.250 (77.833) Epoch: [45][6190/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 2.0819 (2.0462) Prec@1 48.125 (47.295) Prec@5 80.000 (77.830) Epoch: [45][6200/11272] Time 0.840 (0.800) Data 0.001 (0.002) Loss 2.0224 (2.0462) Prec@1 47.500 (47.296) Prec@5 77.500 (77.827) Epoch: [45][6210/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1787 (2.0462) Prec@1 43.750 (47.297) Prec@5 75.625 (77.827) Epoch: [45][6220/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.1661 (2.0463) Prec@1 46.250 (47.294) Prec@5 75.625 (77.827) Epoch: [45][6230/11272] Time 0.896 (0.800) Data 0.001 (0.002) Loss 2.1312 (2.0464) Prec@1 44.375 (47.292) Prec@5 78.750 (77.824) Epoch: [45][6240/11272] Time 0.756 (0.800) Data 0.004 (0.002) Loss 2.0307 (2.0463) Prec@1 42.500 (47.296) Prec@5 79.375 (77.826) Epoch: [45][6250/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.2339 (2.0463) Prec@1 43.750 (47.296) Prec@5 78.125 (77.828) Epoch: [45][6260/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 2.0838 (2.0463) Prec@1 51.875 (47.297) Prec@5 78.125 (77.829) Epoch: [45][6270/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 1.9706 (2.0465) Prec@1 50.625 (47.294) Prec@5 79.375 (77.827) Epoch: [45][6280/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.1099 (2.0465) Prec@1 47.500 (47.294) Prec@5 76.250 (77.827) Epoch: [45][6290/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.0615 (2.0465) Prec@1 46.250 (47.295) Prec@5 79.375 (77.829) Epoch: [45][6300/11272] Time 0.900 (0.800) Data 0.001 (0.002) Loss 2.3341 (2.0465) Prec@1 43.125 (47.295) Prec@5 71.875 (77.829) Epoch: [45][6310/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 2.2529 (2.0465) Prec@1 40.625 (47.293) Prec@5 76.250 (77.830) Epoch: [45][6320/11272] Time 0.777 (0.800) Data 0.002 (0.002) Loss 1.9817 (2.0466) Prec@1 51.250 (47.291) Prec@5 80.000 (77.829) Epoch: [45][6330/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.1756 (2.0467) Prec@1 42.500 (47.292) Prec@5 76.250 (77.826) Epoch: [45][6340/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.0722 (2.0468) Prec@1 42.500 (47.290) Prec@5 79.375 (77.824) Epoch: [45][6350/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.8825 (2.0468) Prec@1 53.125 (47.292) Prec@5 84.375 (77.825) Epoch: [45][6360/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 2.3245 (2.0469) Prec@1 44.375 (47.290) Prec@5 75.625 (77.823) Epoch: [45][6370/11272] Time 0.863 (0.800) Data 0.001 (0.002) Loss 2.5125 (2.0470) Prec@1 38.750 (47.288) Prec@5 67.500 (77.819) Epoch: [45][6380/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0965 (2.0470) Prec@1 53.125 (47.291) Prec@5 75.000 (77.820) Epoch: [45][6390/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.2092 (2.0470) Prec@1 44.375 (47.292) Prec@5 77.500 (77.823) Epoch: [45][6400/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 1.7991 (2.0470) Prec@1 53.750 (47.293) Prec@5 83.125 (77.823) Epoch: [45][6410/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.1656 (2.0470) Prec@1 48.750 (47.290) Prec@5 75.000 (77.821) Epoch: [45][6420/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 1.9280 (2.0469) Prec@1 46.250 (47.292) Prec@5 76.250 (77.822) Epoch: [45][6430/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.9228 (2.0469) Prec@1 51.875 (47.293) Prec@5 83.125 (77.822) Epoch: [45][6440/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0273 (2.0467) Prec@1 50.000 (47.298) Prec@5 75.000 (77.824) Epoch: [45][6450/11272] Time 0.902 (0.800) Data 0.002 (0.002) Loss 2.0307 (2.0469) Prec@1 43.750 (47.296) Prec@5 79.375 (77.822) Epoch: [45][6460/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 1.9632 (2.0468) Prec@1 48.125 (47.298) Prec@5 79.375 (77.823) Epoch: [45][6470/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9327 (2.0467) Prec@1 49.375 (47.301) Prec@5 82.500 (77.824) Epoch: [45][6480/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.2197 (2.0468) Prec@1 44.375 (47.299) Prec@5 73.750 (77.821) Epoch: [45][6490/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.0229 (2.0468) Prec@1 45.625 (47.298) Prec@5 80.625 (77.820) Epoch: [45][6500/11272] Time 0.776 (0.800) Data 0.004 (0.002) Loss 2.0115 (2.0468) Prec@1 47.500 (47.297) Prec@5 78.125 (77.819) Epoch: [45][6510/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.2378 (2.0469) Prec@1 42.500 (47.296) Prec@5 75.625 (77.818) Epoch: [45][6520/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.0102 (2.0470) Prec@1 46.250 (47.294) Prec@5 75.000 (77.816) Epoch: [45][6530/11272] Time 0.818 (0.800) Data 0.001 (0.002) Loss 2.1267 (2.0470) Prec@1 42.500 (47.293) Prec@5 77.500 (77.816) Epoch: [45][6540/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 1.8510 (2.0470) Prec@1 53.125 (47.295) Prec@5 80.625 (77.814) Epoch: [45][6550/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.0545 (2.0470) Prec@1 44.375 (47.296) Prec@5 79.375 (77.814) Epoch: [45][6560/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 1.9250 (2.0470) Prec@1 49.375 (47.291) Prec@5 78.750 (77.814) Epoch: [45][6570/11272] Time 0.860 (0.800) Data 0.001 (0.002) Loss 1.9685 (2.0471) Prec@1 50.625 (47.290) Prec@5 78.125 (77.812) Epoch: [45][6580/11272] Time 0.717 (0.800) Data 0.001 (0.002) Loss 2.2564 (2.0471) Prec@1 41.250 (47.292) Prec@5 73.750 (77.811) Epoch: [45][6590/11272] Time 0.760 (0.800) Data 0.001 (0.002) Loss 1.8768 (2.0471) Prec@1 50.000 (47.291) Prec@5 85.000 (77.814) Epoch: [45][6600/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.9063 (2.0471) Prec@1 54.375 (47.293) Prec@5 80.000 (77.813) Epoch: [45][6610/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 1.8963 (2.0471) Prec@1 50.625 (47.296) Prec@5 79.375 (77.813) Epoch: [45][6620/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.2441 (2.0469) Prec@1 45.000 (47.300) Prec@5 71.875 (77.816) Epoch: [45][6630/11272] Time 0.881 (0.800) Data 0.001 (0.002) Loss 1.9243 (2.0468) Prec@1 49.375 (47.301) Prec@5 82.500 (77.818) Epoch: [45][6640/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 1.9710 (2.0469) Prec@1 50.625 (47.302) Prec@5 78.750 (77.819) Epoch: [45][6650/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.0492 (2.0468) Prec@1 47.500 (47.303) Prec@5 76.250 (77.821) Epoch: [45][6660/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 1.8134 (2.0468) Prec@1 55.000 (47.304) Prec@5 81.875 (77.821) Epoch: [45][6670/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0500 (2.0468) Prec@1 48.125 (47.304) Prec@5 79.375 (77.822) Epoch: [45][6680/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 1.6815 (2.0468) Prec@1 57.500 (47.303) Prec@5 84.375 (77.823) Epoch: [45][6690/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.1015 (2.0469) Prec@1 46.250 (47.302) Prec@5 75.625 (77.821) Epoch: [45][6700/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.9000 (2.0468) Prec@1 50.000 (47.304) Prec@5 80.000 (77.822) Epoch: [45][6710/11272] Time 0.911 (0.800) Data 0.002 (0.002) Loss 1.8656 (2.0468) Prec@1 50.625 (47.303) Prec@5 78.750 (77.820) Epoch: [45][6720/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.1759 (2.0469) Prec@1 44.375 (47.302) Prec@5 75.000 (77.820) Epoch: [45][6730/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 1.9763 (2.0470) Prec@1 47.500 (47.301) Prec@5 80.000 (77.818) Epoch: [45][6740/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9554 (2.0469) Prec@1 50.625 (47.304) Prec@5 78.750 (77.821) Epoch: [45][6750/11272] Time 0.965 (0.800) Data 0.002 (0.002) Loss 2.1344 (2.0469) Prec@1 45.000 (47.304) Prec@5 75.000 (77.820) Epoch: [45][6760/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.0827 (2.0470) Prec@1 46.250 (47.305) Prec@5 73.125 (77.820) Epoch: [45][6770/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 1.9754 (2.0470) Prec@1 54.375 (47.306) Prec@5 78.125 (77.817) Epoch: [45][6780/11272] Time 0.894 (0.800) Data 0.002 (0.002) Loss 2.2409 (2.0471) Prec@1 46.250 (47.303) Prec@5 78.125 (77.817) Epoch: [45][6790/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 2.0211 (2.0471) Prec@1 45.000 (47.301) Prec@5 80.000 (77.816) Epoch: [45][6800/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 1.8833 (2.0472) Prec@1 53.125 (47.300) Prec@5 82.500 (77.815) Epoch: [45][6810/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.2118 (2.0471) Prec@1 44.375 (47.303) Prec@5 74.375 (77.817) Epoch: [45][6820/11272] Time 0.866 (0.800) Data 0.003 (0.002) Loss 2.0487 (2.0471) Prec@1 46.875 (47.303) Prec@5 80.625 (77.818) Epoch: [45][6830/11272] Time 0.810 (0.800) Data 0.001 (0.002) Loss 2.0791 (2.0472) Prec@1 45.625 (47.303) Prec@5 73.750 (77.815) Epoch: [45][6840/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1134 (2.0473) Prec@1 45.625 (47.302) Prec@5 75.625 (77.813) Epoch: [45][6850/11272] Time 0.751 (0.800) Data 0.002 (0.002) Loss 1.9124 (2.0473) Prec@1 50.000 (47.301) Prec@5 81.875 (77.811) Epoch: [45][6860/11272] Time 0.869 (0.800) Data 0.003 (0.002) Loss 2.1895 (2.0473) Prec@1 46.875 (47.299) Prec@5 78.750 (77.812) Epoch: [45][6870/11272] Time 0.817 (0.800) Data 0.002 (0.002) Loss 2.0692 (2.0473) Prec@1 50.625 (47.300) Prec@5 76.875 (77.810) Epoch: [45][6880/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 1.8128 (2.0472) Prec@1 48.750 (47.302) Prec@5 80.000 (77.811) Epoch: [45][6890/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.8918 (2.0472) Prec@1 55.000 (47.304) Prec@5 80.000 (77.812) Epoch: [45][6900/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 2.1378 (2.0472) Prec@1 47.500 (47.305) Prec@5 75.625 (77.812) Epoch: [45][6910/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 1.9360 (2.0472) Prec@1 51.875 (47.304) Prec@5 78.125 (77.812) Epoch: [45][6920/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.2125 (2.0473) Prec@1 38.750 (47.300) Prec@5 75.625 (77.812) Epoch: [45][6930/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.9555 (2.0473) Prec@1 51.250 (47.296) Prec@5 79.375 (77.811) Epoch: [45][6940/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.0717 (2.0474) Prec@1 45.000 (47.296) Prec@5 73.125 (77.810) Epoch: [45][6950/11272] Time 0.738 (0.800) Data 0.003 (0.002) Loss 2.0121 (2.0475) Prec@1 50.000 (47.295) Prec@5 79.375 (77.808) Epoch: [45][6960/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 1.8559 (2.0475) Prec@1 55.625 (47.294) Prec@5 81.250 (77.807) Epoch: [45][6970/11272] Time 0.863 (0.800) Data 0.001 (0.002) Loss 2.0776 (2.0475) Prec@1 45.000 (47.294) Prec@5 75.000 (77.807) Epoch: [45][6980/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 1.6959 (2.0476) Prec@1 55.625 (47.294) Prec@5 81.250 (77.806) Epoch: [45][6990/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.1872 (2.0476) Prec@1 43.125 (47.294) Prec@5 73.750 (77.804) Epoch: [45][7000/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1078 (2.0476) Prec@1 45.625 (47.294) Prec@5 73.750 (77.804) Epoch: [45][7010/11272] Time 0.898 (0.800) Data 0.002 (0.002) Loss 2.1293 (2.0476) Prec@1 43.750 (47.296) Prec@5 78.750 (77.804) Epoch: [45][7020/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 2.1035 (2.0476) Prec@1 46.875 (47.296) Prec@5 75.625 (77.804) Epoch: [45][7030/11272] Time 0.795 (0.800) Data 0.001 (0.002) Loss 2.0541 (2.0475) Prec@1 46.250 (47.301) Prec@5 79.375 (77.806) Epoch: [45][7040/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.9206 (2.0475) Prec@1 48.125 (47.299) Prec@5 78.750 (77.806) Epoch: [45][7050/11272] Time 0.913 (0.800) Data 0.001 (0.002) Loss 2.1600 (2.0475) Prec@1 41.250 (47.299) Prec@5 80.000 (77.808) Epoch: [45][7060/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 1.8506 (2.0475) Prec@1 50.000 (47.298) Prec@5 81.250 (77.806) Epoch: [45][7070/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.0459 (2.0475) Prec@1 48.750 (47.296) Prec@5 78.125 (77.806) Epoch: [45][7080/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 2.1686 (2.0475) Prec@1 43.750 (47.295) Prec@5 78.750 (77.807) Epoch: [45][7090/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.0467 (2.0476) Prec@1 47.500 (47.292) Prec@5 81.875 (77.809) Epoch: [45][7100/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.8946 (2.0475) Prec@1 50.625 (47.293) Prec@5 82.500 (77.811) Epoch: [45][7110/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.0700 (2.0474) Prec@1 49.375 (47.295) Prec@5 80.000 (77.813) Epoch: [45][7120/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 1.9456 (2.0476) Prec@1 48.750 (47.290) Prec@5 79.375 (77.811) Epoch: [45][7130/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 2.2252 (2.0476) Prec@1 40.625 (47.291) Prec@5 73.750 (77.813) Epoch: [45][7140/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 1.9930 (2.0477) Prec@1 46.875 (47.289) Prec@5 77.500 (77.809) Epoch: [45][7150/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.9553 (2.0477) Prec@1 43.125 (47.285) Prec@5 78.125 (77.808) Epoch: [45][7160/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1450 (2.0478) Prec@1 46.250 (47.284) Prec@5 73.750 (77.806) Epoch: [45][7170/11272] Time 0.728 (0.800) Data 0.003 (0.002) Loss 2.1868 (2.0479) Prec@1 47.500 (47.284) Prec@5 75.000 (77.804) Epoch: [45][7180/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.7775 (2.0479) Prec@1 52.500 (47.282) Prec@5 83.125 (77.803) Epoch: [45][7190/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.1178 (2.0479) Prec@1 48.125 (47.283) Prec@5 75.000 (77.803) Epoch: [45][7200/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.2842 (2.0480) Prec@1 40.625 (47.281) Prec@5 71.875 (77.802) Epoch: [45][7210/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.0387 (2.0480) Prec@1 50.000 (47.281) Prec@5 76.250 (77.801) Epoch: [45][7220/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.0126 (2.0480) Prec@1 47.500 (47.282) Prec@5 76.875 (77.801) Epoch: [45][7230/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.1375 (2.0482) Prec@1 50.625 (47.280) Prec@5 76.875 (77.799) Epoch: [45][7240/11272] Time 0.861 (0.800) Data 0.001 (0.002) Loss 1.8559 (2.0481) Prec@1 51.250 (47.281) Prec@5 79.375 (77.800) Epoch: [45][7250/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.1051 (2.0481) Prec@1 45.000 (47.281) Prec@5 75.625 (77.800) Epoch: [45][7260/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.2156 (2.0482) Prec@1 43.750 (47.280) Prec@5 72.500 (77.797) Epoch: [45][7270/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0282 (2.0483) Prec@1 45.625 (47.277) Prec@5 74.375 (77.793) Epoch: [45][7280/11272] Time 0.868 (0.800) Data 0.001 (0.002) Loss 1.9810 (2.0483) Prec@1 47.500 (47.279) Prec@5 80.000 (77.794) Epoch: [45][7290/11272] Time 0.754 (0.800) Data 0.003 (0.002) Loss 2.0114 (2.0483) Prec@1 47.500 (47.280) Prec@5 78.125 (77.794) Epoch: [45][7300/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.1603 (2.0484) Prec@1 38.750 (47.278) Prec@5 76.250 (77.793) Epoch: [45][7310/11272] Time 0.891 (0.800) Data 0.002 (0.002) Loss 2.0404 (2.0484) Prec@1 49.375 (47.276) Prec@5 75.000 (77.791) Epoch: [45][7320/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.9262 (2.0484) Prec@1 50.000 (47.274) Prec@5 74.375 (77.791) Epoch: [45][7330/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.2600 (2.0484) Prec@1 43.125 (47.270) Prec@5 74.375 (77.791) Epoch: [45][7340/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.3139 (2.0484) Prec@1 40.625 (47.271) Prec@5 73.125 (77.793) Epoch: [45][7350/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 1.8600 (2.0484) Prec@1 50.625 (47.273) Prec@5 81.875 (77.794) Epoch: [45][7360/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 1.8579 (2.0484) Prec@1 50.625 (47.274) Prec@5 81.875 (77.795) Epoch: [45][7370/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.0994 (2.0484) Prec@1 48.750 (47.274) Prec@5 78.125 (77.795) Epoch: [45][7380/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 2.1269 (2.0484) Prec@1 44.375 (47.273) Prec@5 76.875 (77.797) Epoch: [45][7390/11272] Time 0.798 (0.800) Data 0.001 (0.002) Loss 2.1246 (2.0483) Prec@1 46.250 (47.274) Prec@5 73.750 (77.798) Epoch: [45][7400/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.1823 (2.0483) Prec@1 46.875 (47.275) Prec@5 75.000 (77.797) Epoch: [45][7410/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1511 (2.0484) Prec@1 42.500 (47.273) Prec@5 78.125 (77.797) Epoch: [45][7420/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.1964 (2.0485) Prec@1 41.875 (47.270) Prec@5 76.250 (77.798) Epoch: [45][7430/11272] Time 0.729 (0.800) Data 0.004 (0.002) Loss 2.0729 (2.0486) Prec@1 44.375 (47.267) Prec@5 77.500 (77.796) Epoch: [45][7440/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 1.9637 (2.0486) Prec@1 44.375 (47.266) Prec@5 81.250 (77.796) Epoch: [45][7450/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.3473 (2.0485) Prec@1 40.625 (47.267) Prec@5 68.750 (77.796) Epoch: [45][7460/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 1.9962 (2.0485) Prec@1 46.875 (47.267) Prec@5 75.625 (77.794) Epoch: [45][7470/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.0098 (2.0485) Prec@1 46.875 (47.267) Prec@5 81.250 (77.796) Epoch: [45][7480/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.0358 (2.0485) Prec@1 46.250 (47.266) Prec@5 79.375 (77.797) Epoch: [45][7490/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 2.1508 (2.0484) Prec@1 45.625 (47.269) Prec@5 76.250 (77.798) Epoch: [45][7500/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2853 (2.0485) Prec@1 37.500 (47.267) Prec@5 75.000 (77.796) Epoch: [45][7510/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0315 (2.0486) Prec@1 45.000 (47.266) Prec@5 79.375 (77.793) Epoch: [45][7520/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 2.1011 (2.0486) Prec@1 42.500 (47.265) Prec@5 75.625 (77.793) Epoch: [45][7530/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.1221 (2.0486) Prec@1 42.500 (47.263) Prec@5 79.375 (77.792) Epoch: [45][7540/11272] Time 0.815 (0.800) Data 0.001 (0.002) Loss 2.1162 (2.0486) Prec@1 44.375 (47.263) Prec@5 80.000 (77.791) Epoch: [45][7550/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 1.9710 (2.0487) Prec@1 53.750 (47.262) Prec@5 80.000 (77.790) Epoch: [45][7560/11272] Time 0.933 (0.800) Data 0.001 (0.002) Loss 1.8787 (2.0487) Prec@1 50.000 (47.262) Prec@5 81.875 (77.789) Epoch: [45][7570/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.1769 (2.0487) Prec@1 46.875 (47.264) Prec@5 73.125 (77.789) Epoch: [45][7580/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 2.0454 (2.0488) Prec@1 46.875 (47.263) Prec@5 78.125 (77.789) Epoch: [45][7590/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.1092 (2.0488) Prec@1 45.000 (47.263) Prec@5 79.375 (77.788) Epoch: [45][7600/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.3319 (2.0489) Prec@1 43.125 (47.262) Prec@5 70.000 (77.785) Epoch: [45][7610/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 1.8023 (2.0488) Prec@1 53.750 (47.263) Prec@5 84.375 (77.787) Epoch: [45][7620/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.9116 (2.0488) Prec@1 48.125 (47.263) Prec@5 81.250 (77.787) Epoch: [45][7630/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.0216 (2.0488) Prec@1 51.250 (47.264) Prec@5 76.250 (77.787) Epoch: [45][7640/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 1.9976 (2.0488) Prec@1 52.500 (47.263) Prec@5 78.125 (77.788) Epoch: [45][7650/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.1693 (2.0489) Prec@1 41.250 (47.262) Prec@5 80.625 (77.786) Epoch: [45][7660/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.9457 (2.0490) Prec@1 47.500 (47.258) Prec@5 83.750 (77.787) Epoch: [45][7670/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 1.9354 (2.0490) Prec@1 48.750 (47.258) Prec@5 78.750 (77.786) Epoch: [45][7680/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.1398 (2.0490) Prec@1 42.500 (47.257) Prec@5 80.000 (77.786) Epoch: [45][7690/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.1355 (2.0489) Prec@1 45.625 (47.258) Prec@5 76.875 (77.787) Epoch: [45][7700/11272] Time 0.716 (0.800) Data 0.002 (0.002) Loss 2.1815 (2.0491) Prec@1 43.125 (47.254) Prec@5 77.500 (77.784) Epoch: [45][7710/11272] Time 0.928 (0.800) Data 0.001 (0.002) Loss 1.8948 (2.0490) Prec@1 50.000 (47.256) Prec@5 85.000 (77.784) Epoch: [45][7720/11272] Time 0.886 (0.800) Data 0.001 (0.002) Loss 2.1017 (2.0490) Prec@1 46.875 (47.257) Prec@5 76.875 (77.786) Epoch: [45][7730/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1171 (2.0490) Prec@1 43.125 (47.259) Prec@5 77.500 (77.786) Epoch: [45][7740/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 1.9864 (2.0489) Prec@1 50.625 (47.260) Prec@5 80.625 (77.788) Epoch: [45][7750/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 1.7600 (2.0489) Prec@1 53.750 (47.260) Prec@5 83.125 (77.787) Epoch: [45][7760/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 2.0813 (2.0490) Prec@1 48.125 (47.259) Prec@5 73.750 (77.785) Epoch: [45][7770/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.2155 (2.0491) Prec@1 38.750 (47.258) Prec@5 76.875 (77.783) Epoch: [45][7780/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.2165 (2.0491) Prec@1 38.750 (47.255) Prec@5 76.875 (77.782) Epoch: [45][7790/11272] Time 0.817 (0.800) Data 0.002 (0.002) Loss 1.9469 (2.0490) Prec@1 46.875 (47.259) Prec@5 79.375 (77.783) Epoch: [45][7800/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.2894 (2.0490) Prec@1 41.250 (47.257) Prec@5 74.375 (77.782) Epoch: [45][7810/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0313 (2.0490) Prec@1 46.875 (47.258) Prec@5 74.375 (77.780) Epoch: [45][7820/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.6416 (2.0490) Prec@1 55.625 (47.257) Prec@5 85.000 (77.781) Epoch: [45][7830/11272] Time 0.836 (0.800) Data 0.002 (0.002) Loss 2.0024 (2.0490) Prec@1 44.375 (47.257) Prec@5 79.375 (77.780) Epoch: [45][7840/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.0211 (2.0490) Prec@1 45.625 (47.258) Prec@5 76.875 (77.781) Epoch: [45][7850/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 1.9676 (2.0490) Prec@1 50.000 (47.261) Prec@5 80.625 (77.783) Epoch: [45][7860/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 2.1058 (2.0490) Prec@1 44.375 (47.260) Prec@5 76.875 (77.782) Epoch: [45][7870/11272] Time 0.898 (0.800) Data 0.002 (0.002) Loss 2.1871 (2.0490) Prec@1 46.875 (47.261) Prec@5 76.250 (77.782) Epoch: [45][7880/11272] Time 0.717 (0.800) Data 0.001 (0.002) Loss 2.0490 (2.0490) Prec@1 44.375 (47.260) Prec@5 78.125 (77.782) Epoch: [45][7890/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 2.0507 (2.0489) Prec@1 46.875 (47.260) Prec@5 81.875 (77.784) Epoch: [45][7900/11272] Time 0.878 (0.800) Data 0.002 (0.002) Loss 1.9241 (2.0488) Prec@1 52.500 (47.263) Prec@5 83.125 (77.786) Epoch: [45][7910/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.1509 (2.0489) Prec@1 45.625 (47.260) Prec@5 76.250 (77.784) Epoch: [45][7920/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.9833 (2.0490) Prec@1 48.750 (47.259) Prec@5 75.625 (77.782) Epoch: [45][7930/11272] Time 0.782 (0.800) Data 0.003 (0.002) Loss 2.0218 (2.0489) Prec@1 44.375 (47.261) Prec@5 79.375 (77.782) Epoch: [45][7940/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.2796 (2.0489) Prec@1 42.500 (47.261) Prec@5 70.000 (77.782) Epoch: [45][7950/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.1086 (2.0489) Prec@1 45.000 (47.262) Prec@5 76.875 (77.783) Epoch: [45][7960/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.2081 (2.0490) Prec@1 43.750 (47.260) Prec@5 76.250 (77.783) Epoch: [45][7970/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 1.9923 (2.0490) Prec@1 50.000 (47.257) Prec@5 80.625 (77.782) Epoch: [45][7980/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.0157 (2.0490) Prec@1 43.125 (47.256) Prec@5 80.000 (77.782) Epoch: [45][7990/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.0097 (2.0491) Prec@1 45.000 (47.254) Prec@5 78.750 (77.782) Epoch: [45][8000/11272] Time 0.767 (0.800) Data 0.002 (0.002) Loss 2.0341 (2.0491) Prec@1 43.750 (47.252) Prec@5 75.000 (77.781) Epoch: [45][8010/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 2.1343 (2.0491) Prec@1 44.375 (47.254) Prec@5 73.750 (77.779) Epoch: [45][8020/11272] Time 0.884 (0.800) Data 0.003 (0.002) Loss 1.9127 (2.0491) Prec@1 50.625 (47.254) Prec@5 78.750 (77.780) Epoch: [45][8030/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.0202 (2.0490) Prec@1 47.500 (47.255) Prec@5 76.875 (77.781) Epoch: [45][8040/11272] Time 0.774 (0.800) Data 0.001 (0.002) Loss 1.8709 (2.0490) Prec@1 53.125 (47.255) Prec@5 78.750 (77.780) Epoch: [45][8050/11272] Time 0.835 (0.800) Data 0.002 (0.002) Loss 1.9563 (2.0490) Prec@1 47.500 (47.256) Prec@5 77.500 (77.779) Epoch: [45][8060/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 1.8569 (2.0490) Prec@1 56.250 (47.257) Prec@5 85.000 (77.778) Epoch: [45][8070/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.1709 (2.0490) Prec@1 46.250 (47.257) Prec@5 76.250 (77.777) Epoch: [45][8080/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.8193 (2.0491) Prec@1 50.625 (47.257) Prec@5 85.000 (77.777) Epoch: [45][8090/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 1.9292 (2.0491) Prec@1 50.625 (47.257) Prec@5 78.125 (77.777) Epoch: [45][8100/11272] Time 0.734 (0.800) Data 0.004 (0.002) Loss 1.9696 (2.0491) Prec@1 48.125 (47.257) Prec@5 80.625 (77.778) Epoch: [45][8110/11272] Time 0.696 (0.800) Data 0.001 (0.002) Loss 2.3133 (2.0490) Prec@1 39.375 (47.258) Prec@5 71.250 (77.778) Epoch: [45][8120/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.1242 (2.0491) Prec@1 42.500 (47.257) Prec@5 77.500 (77.777) Epoch: [45][8130/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.0649 (2.0491) Prec@1 50.625 (47.258) Prec@5 75.000 (77.777) Epoch: [45][8140/11272] Time 0.812 (0.800) Data 0.002 (0.002) Loss 2.0637 (2.0492) Prec@1 50.625 (47.257) Prec@5 71.250 (77.775) Epoch: [45][8150/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 1.9164 (2.0492) Prec@1 48.125 (47.257) Prec@5 79.375 (77.775) Epoch: [45][8160/11272] Time 0.813 (0.800) Data 0.001 (0.002) Loss 1.8596 (2.0490) Prec@1 50.625 (47.260) Prec@5 80.625 (77.776) Epoch: [45][8170/11272] Time 0.868 (0.800) Data 0.001 (0.002) Loss 2.0192 (2.0490) Prec@1 48.125 (47.261) Prec@5 76.875 (77.778) Epoch: [45][8180/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 2.0561 (2.0490) Prec@1 50.000 (47.262) Prec@5 76.250 (77.777) Epoch: [45][8190/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1063 (2.0490) Prec@1 47.500 (47.262) Prec@5 74.375 (77.778) Epoch: [45][8200/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.2813 (2.0491) Prec@1 45.000 (47.261) Prec@5 76.250 (77.776) Epoch: [45][8210/11272] Time 0.894 (0.800) Data 0.002 (0.002) Loss 2.2565 (2.0492) Prec@1 44.375 (47.260) Prec@5 71.250 (77.775) Epoch: [45][8220/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.1410 (2.0492) Prec@1 46.250 (47.258) Prec@5 75.000 (77.775) Epoch: [45][8230/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 2.0970 (2.0493) Prec@1 46.875 (47.257) Prec@5 74.375 (77.773) Epoch: [45][8240/11272] Time 0.864 (0.800) Data 0.001 (0.002) Loss 1.8861 (2.0492) Prec@1 51.250 (47.257) Prec@5 78.750 (77.773) Epoch: [45][8250/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 1.8793 (2.0492) Prec@1 51.875 (47.257) Prec@5 78.750 (77.772) Epoch: [45][8260/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.0631 (2.0492) Prec@1 43.750 (47.258) Prec@5 81.250 (77.774) Epoch: [45][8270/11272] Time 0.825 (0.800) Data 0.001 (0.002) Loss 1.6662 (2.0491) Prec@1 55.000 (47.261) Prec@5 84.375 (77.775) Epoch: [45][8280/11272] Time 0.849 (0.800) Data 0.001 (0.002) Loss 2.0630 (2.0492) Prec@1 50.000 (47.260) Prec@5 78.750 (77.774) Epoch: [45][8290/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.1777 (2.0491) Prec@1 43.750 (47.261) Prec@5 70.625 (77.775) Epoch: [45][8300/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1891 (2.0492) Prec@1 42.500 (47.257) Prec@5 72.500 (77.772) Epoch: [45][8310/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 1.8176 (2.0492) Prec@1 51.875 (47.255) Prec@5 80.625 (77.773) Epoch: [45][8320/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 1.9621 (2.0494) Prec@1 48.750 (47.252) Prec@5 79.375 (77.771) Epoch: [45][8330/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 2.0153 (2.0494) Prec@1 44.375 (47.251) Prec@5 77.500 (77.771) Epoch: [45][8340/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 1.9679 (2.0494) Prec@1 48.750 (47.252) Prec@5 80.625 (77.771) Epoch: [45][8350/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 1.8233 (2.0494) Prec@1 53.125 (47.254) Prec@5 85.625 (77.772) Epoch: [45][8360/11272] Time 0.732 (0.800) Data 0.003 (0.002) Loss 2.0604 (2.0494) Prec@1 48.125 (47.254) Prec@5 80.000 (77.771) Epoch: [45][8370/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.0211 (2.0494) Prec@1 45.625 (47.253) Prec@5 83.125 (77.773) Epoch: [45][8380/11272] Time 0.849 (0.800) Data 0.002 (0.002) Loss 1.9519 (2.0493) Prec@1 45.000 (47.254) Prec@5 76.875 (77.774) Epoch: [45][8390/11272] Time 0.857 (0.800) Data 0.001 (0.002) Loss 2.1775 (2.0494) Prec@1 48.750 (47.252) Prec@5 76.875 (77.773) Epoch: [45][8400/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.1556 (2.0494) Prec@1 43.750 (47.252) Prec@5 75.625 (77.773) Epoch: [45][8410/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.2380 (2.0494) Prec@1 46.250 (47.252) Prec@5 73.750 (77.772) Epoch: [45][8420/11272] Time 0.866 (0.800) Data 0.001 (0.002) Loss 1.9966 (2.0493) Prec@1 48.125 (47.257) Prec@5 76.875 (77.773) Epoch: [45][8430/11272] Time 0.891 (0.800) Data 0.001 (0.002) Loss 2.1810 (2.0494) Prec@1 40.625 (47.254) Prec@5 70.000 (77.771) Epoch: [45][8440/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.1210 (2.0494) Prec@1 40.000 (47.252) Prec@5 78.750 (77.770) Epoch: [45][8450/11272] Time 0.714 (0.800) Data 0.001 (0.002) Loss 2.2125 (2.0494) Prec@1 45.000 (47.252) Prec@5 77.500 (77.771) Epoch: [45][8460/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 2.0698 (2.0495) Prec@1 45.625 (47.249) Prec@5 81.875 (77.770) Epoch: [45][8470/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 2.1294 (2.0495) Prec@1 43.125 (47.247) Prec@5 75.625 (77.770) Epoch: [45][8480/11272] Time 0.775 (0.800) Data 0.001 (0.002) Loss 2.1533 (2.0495) Prec@1 43.125 (47.248) Prec@5 76.250 (77.771) Epoch: [45][8490/11272] Time 0.893 (0.800) Data 0.002 (0.002) Loss 2.1831 (2.0495) Prec@1 43.750 (47.249) Prec@5 75.000 (77.770) Epoch: [45][8500/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.1761 (2.0496) Prec@1 45.000 (47.248) Prec@5 75.000 (77.768) Epoch: [45][8510/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 2.0761 (2.0497) Prec@1 50.000 (47.248) Prec@5 75.000 (77.765) Epoch: [45][8520/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.9939 (2.0497) Prec@1 55.000 (47.249) Prec@5 76.875 (77.765) Epoch: [45][8530/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.0525 (2.0498) Prec@1 45.625 (47.248) Prec@5 75.625 (77.765) Epoch: [45][8540/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 1.7962 (2.0498) Prec@1 52.500 (47.248) Prec@5 80.000 (77.764) Epoch: [45][8550/11272] Time 0.714 (0.800) Data 0.001 (0.002) Loss 2.0896 (2.0498) Prec@1 44.375 (47.248) Prec@5 80.000 (77.764) Epoch: [45][8560/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1854 (2.0498) Prec@1 41.250 (47.247) Prec@5 70.000 (77.764) Epoch: [45][8570/11272] Time 0.875 (0.800) Data 0.001 (0.002) Loss 2.2074 (2.0499) Prec@1 40.625 (47.244) Prec@5 75.000 (77.762) Epoch: [45][8580/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 2.1794 (2.0500) Prec@1 41.875 (47.243) Prec@5 75.625 (77.759) Epoch: [45][8590/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.0242 (2.0500) Prec@1 41.875 (47.242) Prec@5 78.125 (77.759) Epoch: [45][8600/11272] Time 0.765 (0.800) Data 0.001 (0.002) Loss 1.8368 (2.0500) Prec@1 51.250 (47.245) Prec@5 79.375 (77.760) Epoch: [45][8610/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 2.0885 (2.0500) Prec@1 43.750 (47.243) Prec@5 76.875 (77.759) Epoch: [45][8620/11272] Time 0.857 (0.800) Data 0.001 (0.002) Loss 2.1195 (2.0500) Prec@1 45.625 (47.241) Prec@5 75.000 (77.760) Epoch: [45][8630/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.9820 (2.0500) Prec@1 51.250 (47.241) Prec@5 80.000 (77.760) Epoch: [45][8640/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.2417 (2.0500) Prec@1 42.500 (47.242) Prec@5 75.625 (77.760) Epoch: [45][8650/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.9663 (2.0500) Prec@1 45.000 (47.242) Prec@5 80.625 (77.761) Epoch: [45][8660/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.1294 (2.0501) Prec@1 49.375 (47.241) Prec@5 77.500 (77.759) Epoch: [45][8670/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.2953 (2.0502) Prec@1 42.500 (47.239) Prec@5 75.625 (77.757) Epoch: [45][8680/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.0996 (2.0502) Prec@1 43.750 (47.238) Prec@5 78.125 (77.759) Epoch: [45][8690/11272] Time 0.895 (0.800) Data 0.002 (0.002) Loss 2.3155 (2.0503) Prec@1 43.750 (47.237) Prec@5 73.125 (77.758) Epoch: [45][8700/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 2.0161 (2.0503) Prec@1 48.750 (47.235) Prec@5 76.250 (77.758) Epoch: [45][8710/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 2.1552 (2.0503) Prec@1 47.500 (47.235) Prec@5 75.000 (77.759) Epoch: [45][8720/11272] Time 0.932 (0.800) Data 0.001 (0.002) Loss 2.0796 (2.0503) Prec@1 48.125 (47.235) Prec@5 78.125 (77.760) Epoch: [45][8730/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 1.9839 (2.0503) Prec@1 50.000 (47.236) Prec@5 76.875 (77.758) Epoch: [45][8740/11272] Time 0.766 (0.800) Data 0.001 (0.002) Loss 2.0818 (2.0503) Prec@1 48.125 (47.236) Prec@5 76.250 (77.759) Epoch: [45][8750/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.0903 (2.0503) Prec@1 47.500 (47.237) Prec@5 76.875 (77.759) Epoch: [45][8760/11272] Time 0.809 (0.800) Data 0.001 (0.002) Loss 2.2541 (2.0503) Prec@1 44.375 (47.236) Prec@5 76.875 (77.757) Epoch: [45][8770/11272] Time 0.750 (0.800) Data 0.001 (0.002) Loss 2.0719 (2.0503) Prec@1 43.125 (47.237) Prec@5 78.125 (77.758) Epoch: [45][8780/11272] Time 0.755 (0.800) Data 0.001 (0.002) Loss 2.0567 (2.0503) Prec@1 50.000 (47.237) Prec@5 76.875 (77.756) Epoch: [45][8790/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 1.9987 (2.0502) Prec@1 48.125 (47.238) Prec@5 80.625 (77.757) Epoch: [45][8800/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.1540 (2.0503) Prec@1 43.750 (47.236) Prec@5 75.000 (77.756) Epoch: [45][8810/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0545 (2.0503) Prec@1 43.750 (47.235) Prec@5 78.125 (77.755) Epoch: [45][8820/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.1385 (2.0504) Prec@1 46.250 (47.233) Prec@5 76.250 (77.754) Epoch: [45][8830/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 2.1428 (2.0505) Prec@1 42.500 (47.231) Prec@5 74.375 (77.752) Epoch: [45][8840/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 2.1340 (2.0505) Prec@1 41.875 (47.230) Prec@5 81.875 (77.752) Epoch: [45][8850/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9758 (2.0505) Prec@1 48.750 (47.232) Prec@5 78.125 (77.751) Epoch: [45][8860/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.1632 (2.0505) Prec@1 45.000 (47.232) Prec@5 73.125 (77.750) Epoch: [45][8870/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 2.2241 (2.0506) Prec@1 47.500 (47.232) Prec@5 76.875 (77.751) Epoch: [45][8880/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 2.2278 (2.0506) Prec@1 47.500 (47.233) Prec@5 76.250 (77.750) Epoch: [45][8890/11272] Time 0.765 (0.800) Data 0.002 (0.002) Loss 1.9733 (2.0506) Prec@1 52.500 (47.233) Prec@5 77.500 (77.750) Epoch: [45][8900/11272] Time 0.912 (0.800) Data 0.001 (0.002) Loss 2.1394 (2.0506) Prec@1 49.375 (47.231) Prec@5 76.875 (77.750) Epoch: [45][8910/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 1.8909 (2.0506) Prec@1 48.125 (47.233) Prec@5 78.125 (77.750) Epoch: [45][8920/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 1.8772 (2.0506) Prec@1 46.250 (47.233) Prec@5 79.375 (77.751) Epoch: [45][8930/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0910 (2.0506) Prec@1 43.125 (47.232) Prec@5 78.125 (77.750) Epoch: [45][8940/11272] Time 0.937 (0.800) Data 0.002 (0.002) Loss 1.9388 (2.0506) Prec@1 45.625 (47.233) Prec@5 81.250 (77.749) Epoch: [45][8950/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.0673 (2.0506) Prec@1 48.125 (47.234) Prec@5 77.500 (77.748) Epoch: [45][8960/11272] Time 0.757 (0.800) Data 0.001 (0.002) Loss 2.0019 (2.0505) Prec@1 53.125 (47.237) Prec@5 77.500 (77.749) Epoch: [45][8970/11272] Time 0.754 (0.800) Data 0.002 (0.002) Loss 2.2202 (2.0507) Prec@1 42.500 (47.235) Prec@5 72.500 (77.747) Epoch: [45][8980/11272] Time 0.874 (0.800) Data 0.001 (0.002) Loss 1.9975 (2.0507) Prec@1 48.125 (47.233) Prec@5 79.375 (77.746) Epoch: [45][8990/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 1.9683 (2.0508) Prec@1 48.125 (47.230) Prec@5 81.250 (77.744) Epoch: [45][9000/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.2194 (2.0508) Prec@1 45.000 (47.228) Prec@5 76.250 (77.745) Epoch: [45][9010/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.8923 (2.0508) Prec@1 54.375 (47.228) Prec@5 79.375 (77.745) Epoch: [45][9020/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 2.0614 (2.0508) Prec@1 43.125 (47.228) Prec@5 76.250 (77.744) Epoch: [45][9030/11272] Time 0.737 (0.800) Data 0.003 (0.002) Loss 2.0766 (2.0509) Prec@1 53.125 (47.228) Prec@5 76.250 (77.744) Epoch: [45][9040/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.9008 (2.0510) Prec@1 45.625 (47.226) Prec@5 83.125 (77.743) Epoch: [45][9050/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.2972 (2.0510) Prec@1 45.000 (47.225) Prec@5 70.625 (77.743) Epoch: [45][9060/11272] Time 0.890 (0.800) Data 0.002 (0.002) Loss 2.1779 (2.0511) Prec@1 41.875 (47.223) Prec@5 75.000 (77.740) Epoch: [45][9070/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 1.9441 (2.0511) Prec@1 52.500 (47.225) Prec@5 80.625 (77.740) Epoch: [45][9080/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.0842 (2.0512) Prec@1 46.250 (47.223) Prec@5 76.250 (77.740) Epoch: [45][9090/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.1741 (2.0511) Prec@1 43.750 (47.223) Prec@5 75.000 (77.740) Epoch: [45][9100/11272] Time 0.903 (0.800) Data 0.002 (0.002) Loss 1.9461 (2.0512) Prec@1 50.000 (47.222) Prec@5 80.625 (77.740) Epoch: [45][9110/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.1155 (2.0512) Prec@1 51.250 (47.224) Prec@5 77.500 (77.739) Epoch: [45][9120/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0508 (2.0512) Prec@1 47.500 (47.225) Prec@5 78.750 (77.740) Epoch: [45][9130/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.9478 (2.0512) Prec@1 45.000 (47.224) Prec@5 80.000 (77.740) Epoch: [45][9140/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 1.9917 (2.0512) Prec@1 43.750 (47.225) Prec@5 80.625 (77.740) Epoch: [45][9150/11272] Time 0.719 (0.800) Data 0.001 (0.002) Loss 2.1309 (2.0512) Prec@1 48.125 (47.223) Prec@5 75.000 (77.738) Epoch: [45][9160/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.9687 (2.0512) Prec@1 43.750 (47.223) Prec@5 78.750 (77.738) Epoch: [45][9170/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.0187 (2.0512) Prec@1 43.125 (47.222) Prec@5 83.125 (77.741) Epoch: [45][9180/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1621 (2.0511) Prec@1 47.500 (47.224) Prec@5 76.250 (77.740) Epoch: [45][9190/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 2.1512 (2.0511) Prec@1 43.750 (47.225) Prec@5 75.000 (77.739) Epoch: [45][9200/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 2.1635 (2.0512) Prec@1 40.625 (47.221) Prec@5 76.875 (77.739) Epoch: [45][9210/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 1.9863 (2.0511) Prec@1 46.250 (47.222) Prec@5 80.000 (77.740) Epoch: [45][9220/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.9200 (2.0511) Prec@1 52.500 (47.225) Prec@5 82.500 (77.741) Epoch: [45][9230/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9421 (2.0511) Prec@1 46.875 (47.225) Prec@5 78.750 (77.741) Epoch: [45][9240/11272] Time 0.872 (0.800) Data 0.001 (0.002) Loss 2.0580 (2.0510) Prec@1 48.750 (47.225) Prec@5 79.375 (77.742) Epoch: [45][9250/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.0407 (2.0511) Prec@1 45.000 (47.224) Prec@5 80.000 (77.742) Epoch: [45][9260/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.1903 (2.0511) Prec@1 46.875 (47.224) Prec@5 75.000 (77.740) Epoch: [45][9270/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.0896 (2.0511) Prec@1 46.250 (47.224) Prec@5 78.750 (77.740) Epoch: [45][9280/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 1.9668 (2.0511) Prec@1 45.625 (47.225) Prec@5 76.875 (77.741) Epoch: [45][9290/11272] Time 0.731 (0.800) Data 0.003 (0.002) Loss 2.1855 (2.0511) Prec@1 39.375 (47.224) Prec@5 76.875 (77.742) Epoch: [45][9300/11272] Time 0.770 (0.800) Data 0.004 (0.002) Loss 2.1686 (2.0512) Prec@1 43.125 (47.222) Prec@5 75.000 (77.741) Epoch: [45][9310/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.0802 (2.0513) Prec@1 46.250 (47.221) Prec@5 75.625 (77.737) Epoch: [45][9320/11272] Time 0.871 (0.800) Data 0.001 (0.002) Loss 1.8157 (2.0513) Prec@1 55.000 (47.221) Prec@5 81.875 (77.738) Epoch: [45][9330/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.0104 (2.0513) Prec@1 45.625 (47.219) Prec@5 76.875 (77.736) Epoch: [45][9340/11272] Time 0.766 (0.800) Data 0.002 (0.002) Loss 2.1175 (2.0514) Prec@1 45.625 (47.220) Prec@5 78.750 (77.736) Epoch: [45][9350/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.1133 (2.0514) Prec@1 44.375 (47.220) Prec@5 77.500 (77.736) Epoch: [45][9360/11272] Time 0.868 (0.800) Data 0.001 (0.002) Loss 2.0764 (2.0514) Prec@1 44.375 (47.217) Prec@5 75.625 (77.735) Epoch: [45][9370/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 1.9179 (2.0514) Prec@1 48.125 (47.218) Prec@5 81.875 (77.734) Epoch: [45][9380/11272] Time 0.756 (0.800) Data 0.001 (0.002) Loss 1.9964 (2.0515) Prec@1 47.500 (47.217) Prec@5 80.625 (77.734) Epoch: [45][9390/11272] Time 0.876 (0.800) Data 0.002 (0.002) Loss 2.0112 (2.0516) Prec@1 51.250 (47.215) Prec@5 76.250 (77.732) Epoch: [45][9400/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 1.9371 (2.0516) Prec@1 51.875 (47.216) Prec@5 79.375 (77.732) Epoch: [45][9410/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.0912 (2.0516) Prec@1 44.375 (47.215) Prec@5 75.625 (77.731) Epoch: [45][9420/11272] Time 0.876 (0.800) Data 0.001 (0.002) Loss 1.8950 (2.0516) Prec@1 50.625 (47.216) Prec@5 78.125 (77.732) Epoch: [45][9430/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 2.1329 (2.0516) Prec@1 43.125 (47.214) Prec@5 75.000 (77.731) Epoch: [45][9440/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.1085 (2.0517) Prec@1 46.250 (47.213) Prec@5 80.625 (77.731) Epoch: [45][9450/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 1.9494 (2.0517) Prec@1 46.250 (47.213) Prec@5 78.750 (77.729) Epoch: [45][9460/11272] Time 0.875 (0.800) Data 0.001 (0.002) Loss 2.2071 (2.0518) Prec@1 42.500 (47.211) Prec@5 74.375 (77.728) Epoch: [45][9470/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 1.7499 (2.0518) Prec@1 58.125 (47.211) Prec@5 85.000 (77.727) Epoch: [45][9480/11272] Time 0.716 (0.800) Data 0.001 (0.002) Loss 2.1983 (2.0518) Prec@1 44.375 (47.211) Prec@5 75.000 (77.728) Epoch: [45][9490/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 1.7143 (2.0518) Prec@1 53.750 (47.213) Prec@5 83.750 (77.728) Epoch: [45][9500/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 2.0641 (2.0518) Prec@1 48.125 (47.212) Prec@5 77.500 (77.727) Epoch: [45][9510/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.1300 (2.0518) Prec@1 50.000 (47.215) Prec@5 76.875 (77.728) Epoch: [45][9520/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.1000 (2.0518) Prec@1 47.500 (47.216) Prec@5 76.875 (77.728) Epoch: [45][9530/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.1891 (2.0519) Prec@1 43.750 (47.213) Prec@5 72.500 (77.725) Epoch: [45][9540/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 2.1613 (2.0520) Prec@1 41.875 (47.212) Prec@5 80.625 (77.725) Epoch: [45][9550/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 1.8927 (2.0520) Prec@1 48.750 (47.212) Prec@5 81.875 (77.726) Epoch: [45][9560/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.0910 (2.0520) Prec@1 47.500 (47.211) Prec@5 78.750 (77.726) Epoch: [45][9570/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 1.7046 (2.0519) Prec@1 55.000 (47.213) Prec@5 83.750 (77.729) Epoch: [45][9580/11272] Time 0.820 (0.800) Data 0.001 (0.002) Loss 2.2824 (2.0520) Prec@1 46.250 (47.212) Prec@5 74.375 (77.728) Epoch: [45][9590/11272] Time 0.723 (0.800) Data 0.002 (0.002) Loss 2.3177 (2.0520) Prec@1 40.000 (47.212) Prec@5 76.250 (77.728) Epoch: [45][9600/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 2.1879 (2.0520) Prec@1 40.000 (47.210) Prec@5 77.500 (77.728) Epoch: [45][9610/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.8546 (2.0520) Prec@1 55.000 (47.212) Prec@5 83.750 (77.729) Epoch: [45][9620/11272] Time 0.834 (0.800) Data 0.001 (0.002) Loss 2.0582 (2.0519) Prec@1 49.375 (47.214) Prec@5 77.500 (77.729) Epoch: [45][9630/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 1.9921 (2.0519) Prec@1 47.500 (47.214) Prec@5 77.500 (77.728) Epoch: [45][9640/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 1.9075 (2.0519) Prec@1 50.000 (47.214) Prec@5 78.750 (77.727) Epoch: [45][9650/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 2.3212 (2.0520) Prec@1 43.750 (47.212) Prec@5 73.750 (77.726) Epoch: [45][9660/11272] Time 0.928 (0.800) Data 0.002 (0.002) Loss 1.9525 (2.0520) Prec@1 48.125 (47.211) Prec@5 81.250 (77.725) Epoch: [45][9670/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.0985 (2.0520) Prec@1 46.250 (47.212) Prec@5 77.500 (77.725) Epoch: [45][9680/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.1402 (2.0519) Prec@1 47.500 (47.213) Prec@5 78.125 (77.727) Epoch: [45][9690/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1068 (2.0521) Prec@1 45.625 (47.208) Prec@5 76.875 (77.726) Epoch: [45][9700/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.9402 (2.0520) Prec@1 47.500 (47.210) Prec@5 78.750 (77.727) Epoch: [45][9710/11272] Time 0.741 (0.800) Data 0.001 (0.002) Loss 1.9195 (2.0521) Prec@1 53.750 (47.209) Prec@5 80.625 (77.725) Epoch: [45][9720/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.0941 (2.0521) Prec@1 44.375 (47.211) Prec@5 78.750 (77.725) Epoch: [45][9730/11272] Time 0.865 (0.800) Data 0.002 (0.002) Loss 2.2624 (2.0521) Prec@1 40.000 (47.211) Prec@5 73.750 (77.725) Epoch: [45][9740/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.2354 (2.0521) Prec@1 45.000 (47.210) Prec@5 77.500 (77.724) Epoch: [45][9750/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 2.1282 (2.0522) Prec@1 40.625 (47.209) Prec@5 76.250 (77.723) Epoch: [45][9760/11272] Time 0.890 (0.800) Data 0.001 (0.002) Loss 2.1578 (2.0522) Prec@1 50.000 (47.208) Prec@5 75.000 (77.722) Epoch: [45][9770/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.9001 (2.0522) Prec@1 52.500 (47.210) Prec@5 82.500 (77.723) Epoch: [45][9780/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 2.1402 (2.0522) Prec@1 42.500 (47.211) Prec@5 74.375 (77.723) Epoch: [45][9790/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.0138 (2.0521) Prec@1 53.125 (47.213) Prec@5 76.250 (77.722) Epoch: [45][9800/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 1.9480 (2.0521) Prec@1 48.125 (47.213) Prec@5 80.625 (77.723) Epoch: [45][9810/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 1.9724 (2.0521) Prec@1 52.500 (47.213) Prec@5 77.500 (77.721) Epoch: [45][9820/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.5137 (2.0523) Prec@1 36.875 (47.209) Prec@5 66.875 (77.719) Epoch: [45][9830/11272] Time 0.874 (0.800) Data 0.001 (0.002) Loss 2.1369 (2.0523) Prec@1 53.125 (47.208) Prec@5 76.250 (77.718) Epoch: [45][9840/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 1.9178 (2.0522) Prec@1 46.875 (47.209) Prec@5 83.125 (77.719) Epoch: [45][9850/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 2.0072 (2.0522) Prec@1 51.250 (47.210) Prec@5 78.750 (77.719) Epoch: [45][9860/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 1.8541 (2.0521) Prec@1 50.000 (47.211) Prec@5 79.375 (77.720) Epoch: [45][9870/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 1.9447 (2.0521) Prec@1 51.250 (47.212) Prec@5 80.000 (77.720) Epoch: [45][9880/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.1163 (2.0521) Prec@1 43.750 (47.211) Prec@5 79.375 (77.719) Epoch: [45][9890/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.0592 (2.0521) Prec@1 45.625 (47.213) Prec@5 78.125 (77.721) Epoch: [45][9900/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.0044 (2.0521) Prec@1 50.000 (47.214) Prec@5 78.750 (77.721) Epoch: [45][9910/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.0539 (2.0521) Prec@1 46.875 (47.215) Prec@5 79.375 (77.722) Epoch: [45][9920/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 1.9995 (2.0520) Prec@1 50.625 (47.216) Prec@5 77.500 (77.721) Epoch: [45][9930/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.0747 (2.0521) Prec@1 45.000 (47.215) Prec@5 80.000 (77.722) Epoch: [45][9940/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 1.8440 (2.0521) Prec@1 52.500 (47.214) Prec@5 78.750 (77.721) Epoch: [45][9950/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.0772 (2.0521) Prec@1 45.625 (47.213) Prec@5 78.750 (77.720) Epoch: [45][9960/11272] Time 0.735 (0.800) Data 0.003 (0.002) Loss 2.0902 (2.0522) Prec@1 51.875 (47.212) Prec@5 77.500 (77.719) Epoch: [45][9970/11272] Time 0.766 (0.800) Data 0.003 (0.002) Loss 2.1486 (2.0522) Prec@1 48.125 (47.210) Prec@5 73.125 (77.719) Epoch: [45][9980/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.2895 (2.0523) Prec@1 42.500 (47.208) Prec@5 71.875 (77.717) Epoch: [45][9990/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.1461 (2.0523) Prec@1 48.750 (47.208) Prec@5 76.250 (77.718) Epoch: [45][10000/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0751 (2.0522) Prec@1 51.250 (47.211) Prec@5 76.250 (77.719) Epoch: [45][10010/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 2.0112 (2.0523) Prec@1 56.250 (47.210) Prec@5 77.500 (77.718) Epoch: [45][10020/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.1093 (2.0523) Prec@1 48.750 (47.212) Prec@5 76.875 (77.719) Epoch: [45][10030/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1309 (2.0523) Prec@1 52.500 (47.214) Prec@5 75.000 (77.719) Epoch: [45][10040/11272] Time 0.724 (0.799) Data 0.001 (0.002) Loss 2.0715 (2.0523) Prec@1 41.250 (47.212) Prec@5 78.750 (77.717) Epoch: [45][10050/11272] Time 0.756 (0.799) Data 0.002 (0.002) Loss 2.0590 (2.0523) Prec@1 46.875 (47.212) Prec@5 76.250 (77.717) Epoch: [45][10060/11272] Time 0.841 (0.799) Data 0.001 (0.002) Loss 2.1367 (2.0523) Prec@1 50.000 (47.213) Prec@5 78.125 (77.717) Epoch: [45][10070/11272] Time 0.832 (0.799) Data 0.001 (0.002) Loss 2.0885 (2.0523) Prec@1 38.125 (47.213) Prec@5 78.750 (77.717) Epoch: [45][10080/11272] Time 0.725 (0.799) Data 0.001 (0.002) Loss 2.0557 (2.0522) Prec@1 45.625 (47.213) Prec@5 80.000 (77.718) Epoch: [45][10090/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 2.2502 (2.0522) Prec@1 44.375 (47.212) Prec@5 73.125 (77.718) Epoch: [45][10100/11272] Time 0.820 (0.799) Data 0.001 (0.002) Loss 2.2022 (2.0522) Prec@1 43.125 (47.212) Prec@5 76.250 (77.719) Epoch: [45][10110/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 1.8551 (2.0522) Prec@1 51.875 (47.211) Prec@5 82.500 (77.719) Epoch: [45][10120/11272] Time 0.744 (0.799) Data 0.001 (0.002) Loss 2.1016 (2.0522) Prec@1 50.625 (47.212) Prec@5 73.125 (77.718) Epoch: [45][10130/11272] Time 0.866 (0.799) Data 0.002 (0.002) Loss 1.9038 (2.0523) Prec@1 53.125 (47.210) Prec@5 80.625 (77.718) Epoch: [45][10140/11272] Time 0.818 (0.799) Data 0.001 (0.002) Loss 1.8341 (2.0523) Prec@1 51.250 (47.209) Prec@5 86.250 (77.717) Epoch: [45][10150/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 1.9616 (2.0523) Prec@1 51.875 (47.209) Prec@5 76.875 (77.717) Epoch: [45][10160/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 2.0448 (2.0524) Prec@1 48.750 (47.209) Prec@5 77.500 (77.716) Epoch: [45][10170/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 1.9802 (2.0524) Prec@1 50.000 (47.207) Prec@5 81.250 (77.716) Epoch: [45][10180/11272] Time 0.816 (0.799) Data 0.001 (0.002) Loss 1.8443 (2.0524) Prec@1 50.000 (47.208) Prec@5 81.250 (77.717) Epoch: [45][10190/11272] Time 0.719 (0.799) Data 0.001 (0.002) Loss 2.2022 (2.0524) Prec@1 45.625 (47.206) Prec@5 74.375 (77.715) Epoch: [45][10200/11272] Time 0.719 (0.799) Data 0.001 (0.002) Loss 2.2494 (2.0525) Prec@1 43.750 (47.207) Prec@5 76.875 (77.715) Epoch: [45][10210/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 1.9174 (2.0525) Prec@1 50.625 (47.208) Prec@5 77.500 (77.715) Epoch: [45][10220/11272] Time 0.717 (0.799) Data 0.002 (0.002) Loss 1.8001 (2.0525) Prec@1 50.000 (47.206) Prec@5 84.375 (77.715) Epoch: [45][10230/11272] Time 0.723 (0.799) Data 0.001 (0.002) Loss 2.2912 (2.0525) Prec@1 47.500 (47.208) Prec@5 77.500 (77.716) Epoch: [45][10240/11272] Time 0.828 (0.799) Data 0.001 (0.002) Loss 2.1458 (2.0525) Prec@1 45.625 (47.208) Prec@5 75.625 (77.716) Epoch: [45][10250/11272] Time 0.825 (0.799) Data 0.001 (0.002) Loss 2.1158 (2.0525) Prec@1 47.500 (47.207) Prec@5 76.250 (77.716) Epoch: [45][10260/11272] Time 0.740 (0.799) Data 0.001 (0.002) Loss 1.9493 (2.0525) Prec@1 50.625 (47.207) Prec@5 80.000 (77.714) Epoch: [45][10270/11272] Time 0.732 (0.799) Data 0.001 (0.002) Loss 1.8761 (2.0524) Prec@1 48.750 (47.207) Prec@5 83.125 (77.715) Epoch: [45][10280/11272] Time 0.830 (0.799) Data 0.001 (0.002) Loss 2.2062 (2.0525) Prec@1 44.375 (47.206) Prec@5 73.750 (77.713) Epoch: [45][10290/11272] Time 0.849 (0.799) Data 0.001 (0.002) Loss 2.1922 (2.0526) Prec@1 42.500 (47.205) Prec@5 73.125 (77.712) Epoch: [45][10300/11272] Time 0.757 (0.799) Data 0.001 (0.002) Loss 2.0067 (2.0525) Prec@1 46.250 (47.206) Prec@5 78.750 (77.714) Epoch: [45][10310/11272] Time 0.734 (0.799) Data 0.001 (0.002) Loss 2.1015 (2.0525) Prec@1 46.875 (47.206) Prec@5 77.500 (77.714) Epoch: [45][10320/11272] Time 0.852 (0.799) Data 0.001 (0.002) Loss 2.2574 (2.0526) Prec@1 42.500 (47.204) Prec@5 77.500 (77.713) Epoch: [45][10330/11272] Time 0.826 (0.799) Data 0.001 (0.002) Loss 2.1889 (2.0526) Prec@1 40.000 (47.204) Prec@5 73.750 (77.713) Epoch: [45][10340/11272] Time 0.749 (0.799) Data 0.001 (0.002) Loss 1.9355 (2.0526) Prec@1 52.500 (47.205) Prec@5 81.875 (77.714) Epoch: [45][10350/11272] Time 0.911 (0.799) Data 0.001 (0.002) Loss 2.0210 (2.0526) Prec@1 46.250 (47.206) Prec@5 79.375 (77.714) Epoch: [45][10360/11272] Time 0.848 (0.799) Data 0.001 (0.002) Loss 2.1337 (2.0527) Prec@1 46.875 (47.206) Prec@5 77.500 (77.713) Epoch: [45][10370/11272] Time 0.705 (0.799) Data 0.001 (0.002) Loss 1.9695 (2.0527) Prec@1 51.875 (47.207) Prec@5 76.875 (77.712) Epoch: [45][10380/11272] Time 0.707 (0.799) Data 0.001 (0.002) Loss 1.8292 (2.0527) Prec@1 46.875 (47.206) Prec@5 81.875 (77.712) Epoch: [45][10390/11272] Time 0.864 (0.799) Data 0.001 (0.002) Loss 2.2530 (2.0526) Prec@1 42.500 (47.208) Prec@5 73.125 (77.713) Epoch: [45][10400/11272] Time 0.828 (0.799) Data 0.001 (0.002) Loss 2.0391 (2.0527) Prec@1 48.125 (47.204) Prec@5 75.000 (77.711) Epoch: [45][10410/11272] Time 0.737 (0.799) Data 0.001 (0.002) Loss 2.1153 (2.0527) Prec@1 44.375 (47.203) Prec@5 80.000 (77.710) Epoch: [45][10420/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.8595 (2.0527) Prec@1 46.250 (47.201) Prec@5 78.750 (77.711) Epoch: [45][10430/11272] Time 0.803 (0.799) Data 0.001 (0.002) Loss 2.2466 (2.0527) Prec@1 41.875 (47.201) Prec@5 75.000 (77.710) Epoch: [45][10440/11272] Time 0.886 (0.799) Data 0.002 (0.002) Loss 2.0148 (2.0528) Prec@1 48.125 (47.200) Prec@5 78.125 (77.709) Epoch: [45][10450/11272] Time 0.748 (0.799) Data 0.001 (0.002) Loss 2.1070 (2.0528) Prec@1 50.625 (47.202) Prec@5 77.500 (77.709) Epoch: [45][10460/11272] Time 0.743 (0.799) Data 0.002 (0.002) Loss 2.0983 (2.0528) Prec@1 45.625 (47.202) Prec@5 76.875 (77.709) Epoch: [45][10470/11272] Time 0.838 (0.799) Data 0.001 (0.002) Loss 2.2604 (2.0529) Prec@1 42.500 (47.201) Prec@5 73.750 (77.709) Epoch: [45][10480/11272] Time 0.877 (0.799) Data 0.001 (0.002) Loss 1.9951 (2.0529) Prec@1 46.875 (47.201) Prec@5 77.500 (77.707) Epoch: [45][10490/11272] Time 0.739 (0.799) Data 0.001 (0.002) Loss 2.1957 (2.0529) Prec@1 44.375 (47.201) Prec@5 72.500 (77.706) Epoch: [45][10500/11272] Time 0.880 (0.799) Data 0.002 (0.002) Loss 2.1360 (2.0530) Prec@1 45.625 (47.200) Prec@5 78.750 (77.704) Epoch: [45][10510/11272] Time 0.815 (0.799) Data 0.001 (0.002) Loss 2.0841 (2.0530) Prec@1 42.500 (47.199) Prec@5 76.875 (77.702) Epoch: [45][10520/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 1.9963 (2.0531) Prec@1 46.250 (47.199) Prec@5 80.625 (77.702) Epoch: [45][10530/11272] Time 0.746 (0.799) Data 0.002 (0.002) Loss 1.7910 (2.0531) Prec@1 53.125 (47.198) Prec@5 80.625 (77.702) Epoch: [45][10540/11272] Time 0.810 (0.799) Data 0.001 (0.002) Loss 1.8086 (2.0531) Prec@1 48.750 (47.199) Prec@5 83.750 (77.702) Epoch: [45][10550/11272] Time 0.816 (0.799) Data 0.001 (0.002) Loss 2.2760 (2.0531) Prec@1 45.000 (47.199) Prec@5 71.250 (77.703) Epoch: [45][10560/11272] Time 0.729 (0.799) Data 0.001 (0.002) Loss 2.1666 (2.0531) Prec@1 42.500 (47.199) Prec@5 78.125 (77.703) Epoch: [45][10570/11272] Time 0.737 (0.799) Data 0.002 (0.002) Loss 2.2060 (2.0530) Prec@1 44.375 (47.200) Prec@5 72.500 (77.705) Epoch: [45][10580/11272] Time 0.876 (0.799) Data 0.002 (0.002) Loss 2.0487 (2.0530) Prec@1 51.875 (47.200) Prec@5 81.250 (77.705) Epoch: [45][10590/11272] Time 0.822 (0.799) Data 0.001 (0.002) Loss 2.3407 (2.0531) Prec@1 44.375 (47.198) Prec@5 70.000 (77.704) Epoch: [45][10600/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 2.1614 (2.0531) Prec@1 44.375 (47.198) Prec@5 76.250 (77.703) Epoch: [45][10610/11272] Time 0.745 (0.799) Data 0.001 (0.002) Loss 1.8054 (2.0532) Prec@1 52.500 (47.197) Prec@5 80.625 (77.702) Epoch: [45][10620/11272] Time 0.805 (0.799) Data 0.001 (0.002) Loss 2.2227 (2.0531) Prec@1 38.750 (47.198) Prec@5 75.000 (77.703) Epoch: [45][10630/11272] Time 0.734 (0.799) Data 0.001 (0.002) Loss 2.1324 (2.0532) Prec@1 45.625 (47.197) Prec@5 74.375 (77.703) Epoch: [45][10640/11272] Time 0.724 (0.799) Data 0.001 (0.002) Loss 2.0801 (2.0532) Prec@1 48.125 (47.197) Prec@5 77.500 (77.701) Epoch: [45][10650/11272] Time 0.865 (0.799) Data 0.001 (0.002) Loss 2.0748 (2.0533) Prec@1 46.875 (47.197) Prec@5 79.375 (77.699) Epoch: [45][10660/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 1.9676 (2.0532) Prec@1 43.125 (47.198) Prec@5 84.375 (77.701) Epoch: [45][10670/11272] Time 0.721 (0.799) Data 0.001 (0.002) Loss 2.2118 (2.0533) Prec@1 45.000 (47.197) Prec@5 73.125 (77.700) Epoch: [45][10680/11272] Time 0.723 (0.799) Data 0.001 (0.002) Loss 2.1772 (2.0533) Prec@1 46.250 (47.197) Prec@5 75.625 (77.701) Epoch: [45][10690/11272] Time 0.832 (0.799) Data 0.001 (0.002) Loss 2.0347 (2.0532) Prec@1 50.000 (47.197) Prec@5 76.875 (77.702) Epoch: [45][10700/11272] Time 0.838 (0.799) Data 0.001 (0.002) Loss 2.1611 (2.0532) Prec@1 49.375 (47.197) Prec@5 73.750 (77.703) Epoch: [45][10710/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 2.1875 (2.0532) Prec@1 46.250 (47.198) Prec@5 74.375 (77.703) Epoch: [45][10720/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 2.3098 (2.0533) Prec@1 42.500 (47.196) Prec@5 73.125 (77.702) Epoch: [45][10730/11272] Time 0.822 (0.799) Data 0.001 (0.002) Loss 2.0067 (2.0533) Prec@1 47.500 (47.195) Prec@5 81.875 (77.703) Epoch: [45][10740/11272] Time 0.830 (0.799) Data 0.001 (0.002) Loss 2.0103 (2.0533) Prec@1 46.875 (47.195) Prec@5 80.000 (77.704) Epoch: [45][10750/11272] Time 0.693 (0.799) Data 0.001 (0.002) Loss 1.9021 (2.0533) Prec@1 50.625 (47.195) Prec@5 80.625 (77.704) Epoch: [45][10760/11272] Time 0.870 (0.799) Data 0.001 (0.002) Loss 2.1903 (2.0533) Prec@1 41.875 (47.193) Prec@5 75.625 (77.703) Epoch: [45][10770/11272] Time 0.841 (0.799) Data 0.001 (0.002) Loss 2.2642 (2.0533) Prec@1 41.250 (47.193) Prec@5 73.125 (77.702) Epoch: [45][10780/11272] Time 0.738 (0.799) Data 0.002 (0.002) Loss 1.9615 (2.0534) Prec@1 44.375 (47.191) Prec@5 82.500 (77.702) Epoch: [45][10790/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 1.8684 (2.0534) Prec@1 48.750 (47.190) Prec@5 81.250 (77.701) Epoch: [45][10800/11272] Time 0.883 (0.799) Data 0.001 (0.002) Loss 2.1104 (2.0534) Prec@1 45.625 (47.190) Prec@5 77.500 (77.701) Epoch: [45][10810/11272] Time 0.861 (0.799) Data 0.002 (0.002) Loss 2.1110 (2.0535) Prec@1 45.000 (47.189) Prec@5 76.875 (77.701) Epoch: [45][10820/11272] Time 0.724 (0.799) Data 0.001 (0.002) Loss 2.1590 (2.0535) Prec@1 50.625 (47.189) Prec@5 75.625 (77.701) Epoch: [45][10830/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 2.0862 (2.0535) Prec@1 48.750 (47.189) Prec@5 75.000 (77.700) Epoch: [45][10840/11272] Time 0.845 (0.799) Data 0.001 (0.002) Loss 2.1755 (2.0535) Prec@1 46.875 (47.189) Prec@5 75.625 (77.700) Epoch: [45][10850/11272] Time 0.822 (0.798) Data 0.001 (0.002) Loss 1.9151 (2.0534) Prec@1 46.875 (47.190) Prec@5 80.625 (77.701) Epoch: [45][10860/11272] Time 0.751 (0.798) Data 0.001 (0.002) Loss 2.1124 (2.0535) Prec@1 45.625 (47.188) Prec@5 76.250 (77.701) Epoch: [45][10870/11272] Time 0.702 (0.798) Data 0.001 (0.002) Loss 1.9314 (2.0535) Prec@1 48.750 (47.189) Prec@5 78.750 (77.700) Epoch: [45][10880/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 1.9684 (2.0535) Prec@1 48.750 (47.190) Prec@5 78.750 (77.701) Epoch: [45][10890/11272] Time 0.720 (0.798) Data 0.003 (0.002) Loss 2.3106 (2.0535) Prec@1 38.750 (47.188) Prec@5 75.625 (77.701) Epoch: [45][10900/11272] Time 0.787 (0.798) Data 0.001 (0.002) Loss 2.0092 (2.0535) Prec@1 49.375 (47.188) Prec@5 76.875 (77.702) Epoch: [45][10910/11272] Time 0.818 (0.798) Data 0.001 (0.002) Loss 2.1732 (2.0535) Prec@1 48.750 (47.187) Prec@5 78.125 (77.701) Epoch: [45][10920/11272] Time 0.821 (0.798) Data 0.001 (0.002) Loss 1.9289 (2.0534) Prec@1 50.625 (47.190) Prec@5 79.375 (77.703) Epoch: [45][10930/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 1.9955 (2.0534) Prec@1 46.875 (47.189) Prec@5 80.625 (77.704) Epoch: [45][10940/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.0022 (2.0534) Prec@1 44.375 (47.189) Prec@5 81.250 (77.704) Epoch: [45][10950/11272] Time 0.840 (0.798) Data 0.001 (0.002) Loss 2.1542 (2.0535) Prec@1 47.500 (47.188) Prec@5 74.375 (77.703) Epoch: [45][10960/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.2017 (2.0534) Prec@1 43.750 (47.187) Prec@5 71.875 (77.705) Epoch: [45][10970/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 1.8651 (2.0534) Prec@1 58.125 (47.187) Prec@5 83.125 (77.705) Epoch: [45][10980/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.4119 (2.0534) Prec@1 43.125 (47.186) Prec@5 67.500 (77.705) Epoch: [45][10990/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.6316 (2.0534) Prec@1 58.750 (47.187) Prec@5 85.000 (77.705) Epoch: [45][11000/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 2.0808 (2.0534) Prec@1 45.000 (47.185) Prec@5 76.250 (77.703) Epoch: [45][11010/11272] Time 0.750 (0.798) Data 0.001 (0.002) Loss 2.1621 (2.0534) Prec@1 46.250 (47.186) Prec@5 75.625 (77.704) Epoch: [45][11020/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 1.9699 (2.0534) Prec@1 44.375 (47.187) Prec@5 78.750 (77.703) Epoch: [45][11030/11272] Time 0.840 (0.798) Data 0.001 (0.002) Loss 1.7936 (2.0534) Prec@1 52.500 (47.187) Prec@5 80.000 (77.704) Epoch: [45][11040/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 2.3923 (2.0534) Prec@1 36.250 (47.186) Prec@5 69.375 (77.703) Epoch: [45][11050/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.1634 (2.0533) Prec@1 46.875 (47.187) Prec@5 75.000 (77.705) Epoch: [45][11060/11272] Time 0.818 (0.798) Data 0.001 (0.002) Loss 2.1301 (2.0533) Prec@1 45.625 (47.188) Prec@5 76.875 (77.706) Epoch: [45][11070/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 2.0611 (2.0533) Prec@1 46.875 (47.188) Prec@5 78.125 (77.706) Epoch: [45][11080/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.1298 (2.0534) Prec@1 42.500 (47.187) Prec@5 76.875 (77.706) Epoch: [45][11090/11272] Time 0.738 (0.798) Data 0.001 (0.002) Loss 2.2093 (2.0534) Prec@1 45.000 (47.186) Prec@5 73.125 (77.705) Epoch: [45][11100/11272] Time 0.823 (0.798) Data 0.001 (0.002) Loss 2.1935 (2.0534) Prec@1 41.875 (47.187) Prec@5 75.000 (77.705) Epoch: [45][11110/11272] Time 0.817 (0.798) Data 0.001 (0.002) Loss 2.2114 (2.0534) Prec@1 41.875 (47.186) Prec@5 74.375 (77.705) Epoch: [45][11120/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 1.8150 (2.0534) Prec@1 51.875 (47.187) Prec@5 81.250 (77.704) Epoch: [45][11130/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.0309 (2.0534) Prec@1 46.250 (47.187) Prec@5 75.625 (77.705) Epoch: [45][11140/11272] Time 0.847 (0.798) Data 0.001 (0.002) Loss 2.1387 (2.0534) Prec@1 43.750 (47.187) Prec@5 76.875 (77.705) Epoch: [45][11150/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 1.9573 (2.0533) Prec@1 53.125 (47.187) Prec@5 81.875 (77.705) Epoch: [45][11160/11272] Time 0.766 (0.798) Data 0.001 (0.002) Loss 1.9218 (2.0534) Prec@1 48.750 (47.186) Prec@5 83.750 (77.705) Epoch: [45][11170/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 1.9474 (2.0534) Prec@1 50.000 (47.187) Prec@5 80.000 (77.705) Epoch: [45][11180/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 2.1360 (2.0534) Prec@1 45.000 (47.186) Prec@5 76.250 (77.704) Epoch: [45][11190/11272] Time 0.722 (0.798) Data 0.001 (0.002) Loss 2.0965 (2.0534) Prec@1 43.750 (47.187) Prec@5 80.000 (77.705) Epoch: [45][11200/11272] Time 0.740 (0.798) Data 0.001 (0.002) Loss 2.2077 (2.0534) Prec@1 43.125 (47.185) Prec@5 73.750 (77.703) Epoch: [45][11210/11272] Time 0.831 (0.798) Data 0.002 (0.002) Loss 2.0116 (2.0535) Prec@1 50.625 (47.185) Prec@5 75.000 (77.703) Epoch: [45][11220/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 2.0608 (2.0534) Prec@1 46.250 (47.185) Prec@5 78.125 (77.705) Epoch: [45][11230/11272] Time 0.774 (0.798) Data 0.002 (0.002) Loss 2.0999 (2.0535) Prec@1 45.000 (47.185) Prec@5 73.125 (77.703) Epoch: [45][11240/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 2.1880 (2.0535) Prec@1 46.250 (47.184) Prec@5 76.250 (77.702) Epoch: [45][11250/11272] Time 0.836 (0.798) Data 0.001 (0.002) Loss 2.1622 (2.0536) Prec@1 45.625 (47.183) Prec@5 74.375 (77.700) Epoch: [45][11260/11272] Time 0.856 (0.798) Data 0.001 (0.002) Loss 1.9225 (2.0536) Prec@1 45.000 (47.182) Prec@5 81.250 (77.701) Epoch: [45][11270/11272] Time 0.736 (0.798) Data 0.000 (0.002) Loss 2.2134 (2.0536) Prec@1 44.375 (47.181) Prec@5 74.375 (77.701) Test: [0/229] Time 1.827 (1.827) Loss 1.0967 (1.0967) Prec@1 63.750 (63.750) Prec@5 93.125 (93.125) Test: [10/229] Time 0.454 (0.532) Loss 1.0343 (1.7091) Prec@1 68.125 (55.511) Prec@5 96.250 (85.341) Test: [20/229] Time 0.312 (0.456) Loss 1.9498 (1.7552) Prec@1 55.000 (53.304) Prec@5 80.000 (84.435) Test: [30/229] Time 0.357 (0.430) Loss 2.0544 (1.6813) Prec@1 45.625 (55.383) Prec@5 82.500 (85.383) Test: [40/229] Time 0.403 (0.418) Loss 0.4898 (1.6829) Prec@1 88.750 (55.259) Prec@5 96.250 (85.137) Test: [50/229] Time 0.302 (0.407) Loss 2.5819 (1.7378) Prec@1 30.000 (53.811) Prec@5 76.250 (84.056) Test: [60/229] Time 0.411 (0.403) Loss 2.3714 (1.7379) Prec@1 33.750 (53.586) Prec@5 76.875 (83.955) Test: [70/229] Time 0.342 (0.400) Loss 1.3133 (1.7553) Prec@1 68.125 (53.028) Prec@5 88.750 (83.724) Test: [80/229] Time 0.377 (0.398) Loss 2.2974 (1.7782) Prec@1 31.250 (52.184) Prec@5 77.500 (83.580) Test: [90/229] Time 0.334 (0.396) Loss 1.3545 (1.7873) Prec@1 71.250 (51.978) Prec@5 85.625 (83.551) Test: [100/229] Time 0.351 (0.395) Loss 2.1335 (1.7775) Prec@1 51.250 (52.364) Prec@5 83.125 (83.682) Test: [110/229] Time 0.464 (0.393) Loss 1.3515 (1.7670) Prec@1 60.000 (52.517) Prec@5 91.250 (83.846) Test: [120/229] Time 0.335 (0.392) Loss 2.7134 (1.7843) Prec@1 31.250 (51.932) Prec@5 75.625 (83.549) Test: [130/229] Time 0.455 (0.391) Loss 1.3809 (1.7695) Prec@1 56.250 (52.304) Prec@5 90.625 (83.802) Test: [140/229] Time 0.370 (0.390) Loss 1.5474 (1.7805) Prec@1 59.375 (52.101) Prec@5 86.875 (83.652) Test: [150/229] Time 0.441 (0.390) Loss 1.0950 (1.7946) Prec@1 76.250 (51.780) Prec@5 90.625 (83.431) Test: [160/229] Time 0.386 (0.388) Loss 2.2041 (1.7942) Prec@1 50.000 (51.755) Prec@5 83.750 (83.455) Test: [170/229] Time 0.353 (0.387) Loss 1.8882 (1.8109) Prec@1 47.500 (51.279) Prec@5 85.625 (83.246) Test: [180/229] Time 0.482 (0.387) Loss 2.5231 (1.8187) Prec@1 35.000 (51.291) Prec@5 63.125 (82.956) Test: [190/229] Time 0.344 (0.387) Loss 1.1862 (1.8067) Prec@1 68.125 (51.652) Prec@5 90.625 (83.063) Test: [200/229] Time 0.390 (0.388) Loss 1.7990 (1.7997) Prec@1 48.125 (51.751) Prec@5 81.250 (83.287) Test: [210/229] Time 0.365 (0.387) Loss 1.2427 (1.7864) Prec@1 64.375 (52.145) Prec@5 90.625 (83.495) Test: [220/229] Time 0.376 (0.387) Loss 1.7483 (1.7725) Prec@1 53.750 (52.602) Prec@5 85.000 (83.614) * Prec@1 52.934 Prec@5 83.694 Epoch: [46][0/11272] Time 3.295 (3.295) Data 2.463 (2.463) Loss 2.0107 (2.0107) Prec@1 48.750 (48.750) Prec@5 79.375 (79.375) Epoch: [46][10/11272] Time 0.720 (1.020) Data 0.001 (0.225) Loss 1.9956 (2.0091) Prec@1 46.875 (47.102) Prec@5 79.375 (78.409) Epoch: [46][20/11272] Time 0.828 (0.908) Data 0.001 (0.119) Loss 2.2552 (2.0077) Prec@1 40.625 (48.333) Prec@5 73.750 (78.185) Epoch: [46][30/11272] Time 0.818 (0.868) Data 0.001 (0.081) Loss 1.8668 (1.9850) Prec@1 51.875 (48.831) Prec@5 82.500 (78.649) Epoch: [46][40/11272] Time 0.722 (0.846) Data 0.002 (0.061) Loss 2.0658 (1.9971) Prec@1 44.375 (48.506) Prec@5 72.500 (78.277) Epoch: [46][50/11272] Time 0.717 (0.833) Data 0.001 (0.050) Loss 1.9101 (1.9980) Prec@1 46.875 (48.468) Prec@5 77.500 (78.211) Epoch: [46][60/11272] Time 0.839 (0.826) Data 0.001 (0.042) Loss 2.0037 (2.0003) Prec@1 48.750 (48.525) Prec@5 77.500 (78.166) Epoch: [46][70/11272] Time 0.823 (0.820) Data 0.002 (0.036) Loss 2.2897 (2.0073) Prec@1 45.625 (48.504) Prec@5 76.250 (78.160) Epoch: [46][80/11272] Time 0.707 (0.815) Data 0.001 (0.032) Loss 2.0535 (2.0183) Prec@1 48.750 (48.272) Prec@5 76.250 (77.948) Epoch: [46][90/11272] Time 0.829 (0.812) Data 0.001 (0.028) Loss 1.9658 (2.0143) Prec@1 46.875 (48.345) Prec@5 77.500 (77.981) Epoch: [46][100/11272] Time 0.838 (0.811) Data 0.001 (0.026) Loss 2.0582 (2.0145) Prec@1 48.750 (48.292) Prec@5 72.500 (77.871) Epoch: [46][110/11272] Time 0.731 (0.808) Data 0.001 (0.024) Loss 2.0010 (2.0142) Prec@1 48.125 (48.283) Prec@5 76.875 (77.872) Epoch: [46][120/11272] Time 0.731 (0.807) Data 0.001 (0.022) Loss 2.2321 (2.0116) Prec@1 41.875 (48.202) Prec@5 74.375 (77.949) Epoch: [46][130/11272] Time 0.825 (0.806) Data 0.001 (0.020) Loss 2.2023 (2.0118) Prec@1 46.875 (48.087) Prec@5 75.000 (77.968) Epoch: [46][140/11272] Time 0.823 (0.804) Data 0.001 (0.019) Loss 2.0229 (2.0096) Prec@1 48.125 (48.081) Prec@5 76.250 (78.059) Epoch: [46][150/11272] Time 0.723 (0.803) Data 0.001 (0.018) Loss 2.0234 (2.0069) Prec@1 44.375 (48.034) Prec@5 76.875 (78.104) Epoch: [46][160/11272] Time 0.730 (0.802) Data 0.001 (0.017) Loss 2.2079 (2.0035) Prec@1 42.500 (48.055) Prec@5 72.500 (78.164) Epoch: [46][170/11272] Time 0.861 (0.801) Data 0.001 (0.016) Loss 1.8897 (2.0056) Prec@1 49.375 (47.979) Prec@5 80.000 (78.198) Epoch: [46][180/11272] Time 0.838 (0.800) Data 0.001 (0.015) Loss 1.9070 (2.0042) Prec@1 50.625 (48.028) Prec@5 78.125 (78.249) Epoch: [46][190/11272] Time 0.707 (0.800) Data 0.001 (0.014) Loss 1.9307 (2.0038) Prec@1 52.500 (48.014) Prec@5 76.875 (78.262) Epoch: [46][200/11272] Time 0.725 (0.799) Data 0.001 (0.014) Loss 1.8623 (2.0028) Prec@1 56.250 (48.147) Prec@5 78.125 (78.265) Epoch: [46][210/11272] Time 0.866 (0.799) Data 0.002 (0.013) Loss 1.9146 (2.0014) Prec@1 50.000 (48.181) Prec@5 80.625 (78.326) Epoch: [46][220/11272] Time 0.839 (0.798) Data 0.001 (0.013) Loss 1.9817 (2.0008) Prec@1 46.875 (48.108) Prec@5 79.375 (78.317) Epoch: [46][230/11272] Time 0.727 (0.798) Data 0.001 (0.012) Loss 2.1752 (2.0020) Prec@1 47.500 (48.130) Prec@5 74.375 (78.287) Epoch: [46][240/11272] Time 0.862 (0.797) Data 0.001 (0.012) Loss 2.0556 (2.0016) Prec@1 43.125 (48.104) Prec@5 78.125 (78.296) Epoch: [46][250/11272] Time 0.836 (0.797) Data 0.001 (0.011) Loss 1.8562 (2.0041) Prec@1 46.875 (47.996) Prec@5 80.000 (78.267) Epoch: [46][260/11272] Time 0.737 (0.796) Data 0.001 (0.011) Loss 2.1490 (2.0040) Prec@1 50.625 (47.974) Prec@5 76.250 (78.290) Epoch: [46][270/11272] Time 0.734 (0.796) Data 0.001 (0.010) Loss 2.3190 (2.0058) Prec@1 41.250 (47.924) Prec@5 72.500 (78.266) Epoch: [46][280/11272] Time 0.834 (0.796) Data 0.002 (0.010) Loss 2.0695 (2.0070) Prec@1 46.250 (47.903) Prec@5 74.375 (78.258) Epoch: [46][290/11272] Time 0.832 (0.795) Data 0.001 (0.010) Loss 2.1648 (2.0081) Prec@1 44.375 (47.915) Prec@5 75.000 (78.247) Epoch: [46][300/11272] Time 0.741 (0.795) Data 0.002 (0.010) Loss 1.9816 (2.0083) Prec@1 51.875 (47.907) Prec@5 75.625 (78.248) Epoch: [46][310/11272] Time 0.722 (0.794) Data 0.001 (0.009) Loss 1.8804 (2.0096) Prec@1 50.625 (47.894) Prec@5 81.250 (78.234) Epoch: [46][320/11272] Time 0.808 (0.794) Data 0.001 (0.009) Loss 2.2750 (2.0101) Prec@1 43.125 (47.854) Prec@5 76.875 (78.246) Epoch: [46][330/11272] Time 0.824 (0.794) Data 0.002 (0.009) Loss 2.0026 (2.0113) Prec@1 45.625 (47.802) Prec@5 75.000 (78.231) Epoch: [46][340/11272] Time 0.728 (0.793) Data 0.001 (0.009) Loss 2.2314 (2.0108) Prec@1 42.500 (47.790) Prec@5 71.250 (78.213) Epoch: [46][350/11272] Time 0.740 (0.793) Data 0.001 (0.008) Loss 1.8701 (2.0109) Prec@1 48.750 (47.746) Prec@5 82.500 (78.210) Epoch: [46][360/11272] Time 0.827 (0.793) Data 0.001 (0.008) Loss 2.0610 (2.0108) Prec@1 43.750 (47.716) Prec@5 81.250 (78.231) Epoch: [46][370/11272] Time 0.726 (0.793) Data 0.001 (0.008) Loss 2.2448 (2.0128) Prec@1 43.750 (47.687) Prec@5 73.125 (78.201) Epoch: [46][380/11272] Time 0.739 (0.792) Data 0.001 (0.008) Loss 2.0323 (2.0121) Prec@1 46.250 (47.698) Prec@5 79.375 (78.217) Epoch: [46][390/11272] Time 0.830 (0.793) Data 0.001 (0.008) Loss 2.0448 (2.0119) Prec@1 45.625 (47.701) Prec@5 75.625 (78.219) Epoch: [46][400/11272] Time 0.826 (0.792) Data 0.001 (0.008) Loss 2.0187 (2.0111) Prec@1 45.000 (47.734) Prec@5 78.125 (78.243) Epoch: [46][410/11272] Time 0.727 (0.792) Data 0.001 (0.007) Loss 2.0232 (2.0114) Prec@1 46.875 (47.755) Prec@5 78.125 (78.228) Epoch: [46][420/11272] Time 0.732 (0.792) Data 0.001 (0.007) Loss 1.9243 (2.0123) Prec@1 49.375 (47.754) Prec@5 78.750 (78.219) Epoch: [46][430/11272] Time 0.838 (0.792) Data 0.001 (0.007) Loss 2.1498 (2.0133) Prec@1 43.125 (47.735) Prec@5 80.000 (78.238) Epoch: [46][440/11272] Time 0.869 (0.792) Data 0.002 (0.007) Loss 2.2024 (2.0146) Prec@1 44.375 (47.710) Prec@5 69.375 (78.206) Epoch: [46][450/11272] Time 0.729 (0.791) Data 0.001 (0.007) Loss 2.0300 (2.0149) Prec@1 47.500 (47.712) Prec@5 74.375 (78.200) Epoch: [46][460/11272] Time 0.727 (0.791) Data 0.002 (0.007) Loss 1.8140 (2.0142) Prec@1 53.125 (47.775) Prec@5 81.875 (78.220) Epoch: [46][470/11272] Time 0.821 (0.791) Data 0.001 (0.007) Loss 1.8951 (2.0149) Prec@1 51.875 (47.751) Prec@5 83.750 (78.221) Epoch: [46][480/11272] Time 0.845 (0.791) Data 0.001 (0.007) Loss 1.9873 (2.0159) Prec@1 45.000 (47.703) Prec@5 80.000 (78.228) Epoch: [46][490/11272] Time 0.729 (0.791) Data 0.001 (0.006) Loss 1.9879 (2.0171) Prec@1 51.875 (47.674) Prec@5 80.000 (78.201) Epoch: [46][500/11272] Time 0.853 (0.791) Data 0.001 (0.006) Loss 1.9583 (2.0172) Prec@1 50.625 (47.680) Prec@5 76.250 (78.204) Epoch: [46][510/11272] Time 0.817 (0.791) Data 0.001 (0.006) Loss 1.8982 (2.0158) Prec@1 50.000 (47.714) Prec@5 80.625 (78.222) Epoch: [46][520/11272] Time 0.744 (0.790) Data 0.001 (0.006) Loss 1.7527 (2.0145) Prec@1 51.875 (47.770) Prec@5 81.250 (78.256) Epoch: [46][530/11272] Time 0.737 (0.790) Data 0.001 (0.006) Loss 2.1219 (2.0154) Prec@1 44.375 (47.752) Prec@5 75.625 (78.229) Epoch: [46][540/11272] Time 0.845 (0.790) Data 0.001 (0.006) Loss 1.9674 (2.0163) Prec@1 48.125 (47.741) Prec@5 82.500 (78.238) Epoch: [46][550/11272] Time 0.820 (0.790) Data 0.001 (0.006) Loss 2.0750 (2.0164) Prec@1 45.625 (47.776) Prec@5 76.250 (78.232) Epoch: [46][560/11272] Time 0.728 (0.790) Data 0.001 (0.006) Loss 1.9374 (2.0171) Prec@1 47.500 (47.765) Prec@5 78.125 (78.210) Epoch: [46][570/11272] Time 0.727 (0.790) Data 0.001 (0.006) Loss 2.0172 (2.0166) Prec@1 48.750 (47.771) Prec@5 75.000 (78.214) Epoch: [46][580/11272] Time 0.824 (0.790) Data 0.002 (0.006) Loss 1.9050 (2.0171) Prec@1 52.500 (47.766) Prec@5 79.375 (78.205) Epoch: [46][590/11272] Time 0.837 (0.790) Data 0.002 (0.006) Loss 2.0160 (2.0172) Prec@1 45.625 (47.755) Prec@5 82.500 (78.219) Epoch: [46][600/11272] Time 0.736 (0.790) Data 0.001 (0.006) Loss 2.4986 (2.0180) Prec@1 33.750 (47.737) Prec@5 70.625 (78.196) Epoch: [46][610/11272] Time 0.709 (0.789) Data 0.001 (0.005) Loss 1.9130 (2.0176) Prec@1 51.250 (47.755) Prec@5 81.250 (78.198) Epoch: [46][620/11272] Time 0.825 (0.789) Data 0.001 (0.005) Loss 2.1356 (2.0171) Prec@1 41.875 (47.775) Prec@5 75.000 (78.211) Epoch: [46][630/11272] Time 0.756 (0.789) Data 0.004 (0.005) Loss 1.9954 (2.0162) Prec@1 48.750 (47.789) Prec@5 81.250 (78.219) Epoch: [46][640/11272] Time 0.725 (0.789) Data 0.001 (0.005) Loss 1.6492 (2.0158) Prec@1 56.875 (47.794) Prec@5 83.750 (78.223) Epoch: [46][650/11272] Time 0.849 (0.789) Data 0.001 (0.005) Loss 1.9724 (2.0153) Prec@1 55.000 (47.808) Prec@5 76.250 (78.232) Epoch: [46][660/11272] Time 0.817 (0.788) Data 0.001 (0.005) Loss 1.9155 (2.0141) Prec@1 50.000 (47.844) Prec@5 77.500 (78.246) Epoch: [46][670/11272] Time 0.728 (0.789) Data 0.002 (0.005) Loss 1.8965 (2.0142) Prec@1 55.625 (47.850) Prec@5 82.500 (78.262) Epoch: [46][680/11272] Time 0.745 (0.789) Data 0.001 (0.005) Loss 1.9677 (2.0149) Prec@1 50.000 (47.861) Prec@5 80.000 (78.254) Epoch: [46][690/11272] Time 0.821 (0.789) Data 0.001 (0.005) Loss 1.9412 (2.0143) Prec@1 47.500 (47.861) Prec@5 81.875 (78.269) Epoch: [46][700/11272] Time 0.881 (0.789) Data 0.001 (0.005) Loss 1.9756 (2.0148) Prec@1 51.250 (47.850) Prec@5 80.625 (78.250) Epoch: [46][710/11272] Time 0.731 (0.789) Data 0.001 (0.005) Loss 2.2003 (2.0155) Prec@1 44.375 (47.821) Prec@5 75.625 (78.230) Epoch: [46][720/11272] Time 0.714 (0.788) Data 0.001 (0.005) Loss 1.8884 (2.0147) Prec@1 49.375 (47.863) Prec@5 79.375 (78.233) Epoch: [46][730/11272] Time 0.833 (0.788) Data 0.001 (0.005) Loss 2.0887 (2.0139) Prec@1 41.875 (47.881) Prec@5 78.750 (78.242) Epoch: [46][740/11272] Time 0.828 (0.788) Data 0.001 (0.005) Loss 2.0063 (2.0149) Prec@1 50.000 (47.852) Prec@5 79.375 (78.238) Epoch: [46][750/11272] Time 0.725 (0.788) Data 0.001 (0.005) Loss 2.0912 (2.0145) Prec@1 46.250 (47.858) Prec@5 77.500 (78.258) Epoch: [46][760/11272] Time 0.846 (0.788) Data 0.001 (0.005) Loss 1.8256 (2.0149) Prec@1 50.000 (47.842) Prec@5 83.125 (78.245) Epoch: [46][770/11272] Time 0.859 (0.788) Data 0.002 (0.005) Loss 2.1763 (2.0150) Prec@1 40.625 (47.825) Prec@5 74.375 (78.246) Epoch: [46][780/11272] Time 0.734 (0.788) Data 0.001 (0.005) Loss 2.0416 (2.0158) Prec@1 50.000 (47.833) Prec@5 75.000 (78.223) Epoch: [46][790/11272] Time 0.733 (0.788) Data 0.001 (0.005) Loss 1.8499 (2.0159) Prec@1 50.000 (47.837) Prec@5 83.750 (78.221) Epoch: [46][800/11272] Time 0.883 (0.788) Data 0.001 (0.004) Loss 1.9125 (2.0154) Prec@1 50.000 (47.842) Prec@5 81.250 (78.230) Epoch: [46][810/11272] Time 0.822 (0.788) Data 0.001 (0.004) Loss 1.9204 (2.0153) Prec@1 46.875 (47.839) Prec@5 83.750 (78.244) Epoch: [46][820/11272] Time 0.776 (0.788) Data 0.001 (0.004) Loss 1.9893 (2.0152) Prec@1 46.250 (47.842) Prec@5 79.375 (78.238) Epoch: [46][830/11272] Time 0.766 (0.788) Data 0.002 (0.004) Loss 2.2199 (2.0151) Prec@1 43.125 (47.847) Prec@5 75.625 (78.245) Epoch: [46][840/11272] Time 0.890 (0.788) Data 0.002 (0.004) Loss 1.9198 (2.0149) Prec@1 50.000 (47.867) Prec@5 80.625 (78.235) Epoch: [46][850/11272] Time 0.820 (0.788) Data 0.001 (0.004) Loss 2.0320 (2.0142) Prec@1 46.250 (47.864) Prec@5 81.250 (78.246) Epoch: [46][860/11272] Time 0.756 (0.788) Data 0.002 (0.004) Loss 2.2138 (2.0155) Prec@1 42.500 (47.854) Prec@5 71.875 (78.214) Epoch: [46][870/11272] Time 0.727 (0.788) Data 0.001 (0.004) Loss 2.1187 (2.0158) Prec@1 43.750 (47.846) Prec@5 77.500 (78.218) Epoch: [46][880/11272] Time 0.855 (0.788) Data 0.001 (0.004) Loss 1.8891 (2.0162) Prec@1 46.250 (47.853) Prec@5 81.250 (78.220) Epoch: [46][890/11272] Time 0.742 (0.788) Data 0.002 (0.004) Loss 1.9030 (2.0169) Prec@1 48.750 (47.831) Prec@5 78.125 (78.197) Epoch: [46][900/11272] Time 0.733 (0.788) Data 0.001 (0.004) Loss 1.9867 (2.0170) Prec@1 46.250 (47.826) Prec@5 80.000 (78.200) Epoch: [46][910/11272] Time 0.832 (0.788) Data 0.001 (0.004) Loss 2.1582 (2.0168) Prec@1 42.500 (47.820) Prec@5 76.875 (78.194) Epoch: [46][920/11272] Time 0.854 (0.788) Data 0.002 (0.004) Loss 1.8669 (2.0176) Prec@1 52.500 (47.822) Prec@5 82.500 (78.173) Epoch: [46][930/11272] Time 0.734 (0.788) Data 0.001 (0.004) Loss 1.7898 (2.0175) Prec@1 47.500 (47.836) Prec@5 83.125 (78.173) Epoch: [46][940/11272] Time 0.725 (0.788) Data 0.001 (0.004) Loss 1.8735 (2.0180) Prec@1 51.875 (47.834) Prec@5 84.375 (78.186) Epoch: [46][950/11272] Time 0.861 (0.788) Data 0.001 (0.004) Loss 2.0842 (2.0182) Prec@1 46.875 (47.817) Prec@5 76.250 (78.182) Epoch: [46][960/11272] Time 0.852 (0.788) Data 0.002 (0.004) Loss 2.1146 (2.0183) Prec@1 50.000 (47.828) Prec@5 75.000 (78.187) Epoch: [46][970/11272] Time 0.725 (0.788) Data 0.001 (0.004) Loss 2.2273 (2.0184) Prec@1 40.000 (47.826) Prec@5 75.625 (78.192) Epoch: [46][980/11272] Time 0.727 (0.788) Data 0.002 (0.004) Loss 1.9734 (2.0183) Prec@1 48.125 (47.820) Prec@5 76.875 (78.191) Epoch: [46][990/11272] Time 0.838 (0.788) Data 0.001 (0.004) Loss 1.7107 (2.0185) Prec@1 56.875 (47.827) Prec@5 84.375 (78.179) Epoch: [46][1000/11272] Time 0.818 (0.788) Data 0.001 (0.004) Loss 1.9090 (2.0188) Prec@1 52.500 (47.829) Prec@5 83.750 (78.184) Epoch: [46][1010/11272] Time 0.749 (0.788) Data 0.001 (0.004) Loss 2.0598 (2.0190) Prec@1 52.500 (47.823) Prec@5 76.875 (78.179) Epoch: [46][1020/11272] Time 0.856 (0.788) Data 0.001 (0.004) Loss 1.9692 (2.0192) Prec@1 46.875 (47.830) Prec@5 77.500 (78.178) Epoch: [46][1030/11272] Time 0.856 (0.788) Data 0.001 (0.004) Loss 1.9151 (2.0185) Prec@1 48.125 (47.849) Prec@5 81.875 (78.178) Epoch: [46][1040/11272] Time 0.744 (0.788) Data 0.002 (0.004) Loss 2.0222 (2.0188) Prec@1 48.750 (47.833) Prec@5 75.625 (78.168) Epoch: [46][1050/11272] Time 0.725 (0.788) Data 0.001 (0.004) Loss 1.9486 (2.0187) Prec@1 45.625 (47.839) Prec@5 78.750 (78.165) Epoch: [46][1060/11272] Time 0.850 (0.788) Data 0.001 (0.004) Loss 2.0537 (2.0192) Prec@1 50.625 (47.835) Prec@5 78.750 (78.157) Epoch: [46][1070/11272] Time 0.821 (0.788) Data 0.001 (0.004) Loss 2.0638 (2.0193) Prec@1 43.750 (47.829) Prec@5 78.750 (78.162) Epoch: [46][1080/11272] Time 0.725 (0.788) Data 0.001 (0.004) Loss 1.9264 (2.0190) Prec@1 52.500 (47.834) Prec@5 81.875 (78.173) Epoch: [46][1090/11272] Time 0.737 (0.788) Data 0.001 (0.004) Loss 1.7899 (2.0190) Prec@1 53.125 (47.823) Prec@5 81.875 (78.161) Epoch: [46][1100/11272] Time 0.836 (0.788) Data 0.001 (0.004) Loss 2.0425 (2.0194) Prec@1 45.000 (47.814) Prec@5 73.750 (78.139) Epoch: [46][1110/11272] Time 0.828 (0.788) Data 0.001 (0.004) Loss 1.8698 (2.0195) Prec@1 50.625 (47.822) Prec@5 81.250 (78.135) Epoch: [46][1120/11272] Time 0.728 (0.788) Data 0.001 (0.004) Loss 1.9908 (2.0196) Prec@1 49.375 (47.828) Prec@5 78.125 (78.129) Epoch: [46][1130/11272] Time 0.742 (0.788) Data 0.001 (0.004) Loss 1.8744 (2.0196) Prec@1 48.125 (47.813) Prec@5 83.750 (78.142) Epoch: [46][1140/11272] Time 0.824 (0.788) Data 0.001 (0.004) Loss 2.0092 (2.0195) Prec@1 50.000 (47.815) Prec@5 79.375 (78.151) Epoch: [46][1150/11272] Time 0.818 (0.788) Data 0.001 (0.004) Loss 2.1596 (2.0198) Prec@1 45.000 (47.816) Prec@5 74.375 (78.140) Epoch: [46][1160/11272] Time 0.736 (0.788) Data 0.001 (0.004) Loss 2.1901 (2.0206) Prec@1 50.625 (47.810) Prec@5 75.000 (78.119) Epoch: [46][1170/11272] Time 0.854 (0.788) Data 0.001 (0.004) Loss 2.2168 (2.0211) Prec@1 43.125 (47.803) Prec@5 73.750 (78.112) Epoch: [46][1180/11272] Time 0.842 (0.788) Data 0.001 (0.003) Loss 2.0006 (2.0210) Prec@1 48.125 (47.804) Prec@5 76.875 (78.112) Epoch: [46][1190/11272] Time 0.767 (0.788) Data 0.002 (0.003) Loss 2.0846 (2.0217) Prec@1 48.750 (47.800) Prec@5 71.875 (78.083) Epoch: [46][1200/11272] Time 0.738 (0.788) Data 0.002 (0.003) Loss 1.8655 (2.0218) Prec@1 48.125 (47.798) Prec@5 80.625 (78.080) Epoch: [46][1210/11272] Time 0.830 (0.788) Data 0.001 (0.003) Loss 2.2713 (2.0217) Prec@1 48.750 (47.816) Prec@5 73.125 (78.081) Epoch: [46][1220/11272] Time 0.808 (0.788) Data 0.001 (0.003) Loss 2.1709 (2.0224) Prec@1 46.875 (47.801) Prec@5 75.000 (78.073) Epoch: [46][1230/11272] Time 0.728 (0.788) Data 0.002 (0.003) Loss 2.1598 (2.0228) Prec@1 44.375 (47.793) Prec@5 75.625 (78.073) Epoch: [46][1240/11272] Time 0.725 (0.788) Data 0.001 (0.003) Loss 2.2146 (2.0234) Prec@1 45.625 (47.781) Prec@5 75.000 (78.062) Epoch: [46][1250/11272] Time 0.880 (0.788) Data 0.002 (0.003) Loss 2.1629 (2.0228) Prec@1 45.000 (47.793) Prec@5 73.125 (78.071) Epoch: [46][1260/11272] Time 0.798 (0.788) Data 0.001 (0.003) Loss 1.7379 (2.0228) Prec@1 55.625 (47.803) Prec@5 81.250 (78.073) Epoch: [46][1270/11272] Time 0.775 (0.788) Data 0.001 (0.003) Loss 1.8762 (2.0229) Prec@1 51.875 (47.813) Prec@5 81.875 (78.072) Epoch: [46][1280/11272] Time 0.724 (0.788) Data 0.001 (0.003) Loss 2.0197 (2.0234) Prec@1 45.000 (47.808) Prec@5 74.375 (78.059) Epoch: [46][1290/11272] Time 0.828 (0.788) Data 0.001 (0.003) Loss 2.0330 (2.0238) Prec@1 48.750 (47.806) Prec@5 78.125 (78.064) Epoch: [46][1300/11272] Time 0.765 (0.788) Data 0.002 (0.003) Loss 2.0580 (2.0236) Prec@1 42.500 (47.808) Prec@5 76.875 (78.070) Epoch: [46][1310/11272] Time 0.807 (0.788) Data 0.002 (0.003) Loss 2.2366 (2.0236) Prec@1 46.250 (47.807) Prec@5 73.125 (78.064) Epoch: [46][1320/11272] Time 0.836 (0.788) Data 0.001 (0.003) Loss 1.8277 (2.0239) Prec@1 56.250 (47.800) Prec@5 82.500 (78.058) Epoch: [46][1330/11272] Time 0.828 (0.788) Data 0.001 (0.003) Loss 2.0365 (2.0238) Prec@1 51.875 (47.798) Prec@5 75.625 (78.062) Epoch: [46][1340/11272] Time 0.748 (0.788) Data 0.001 (0.003) Loss 2.2070 (2.0242) Prec@1 46.875 (47.789) Prec@5 72.500 (78.053) Epoch: [46][1350/11272] Time 0.728 (0.788) Data 0.001 (0.003) Loss 2.1201 (2.0243) Prec@1 48.750 (47.793) Prec@5 73.125 (78.055) Epoch: [46][1360/11272] Time 0.843 (0.788) Data 0.001 (0.003) Loss 2.1561 (2.0239) Prec@1 48.750 (47.807) Prec@5 73.750 (78.065) Epoch: [46][1370/11272] Time 0.833 (0.788) Data 0.001 (0.003) Loss 2.2327 (2.0244) Prec@1 41.875 (47.783) Prec@5 74.375 (78.058) Epoch: [46][1380/11272] Time 0.757 (0.788) Data 0.001 (0.003) Loss 1.9625 (2.0250) Prec@1 48.750 (47.768) Prec@5 81.875 (78.051) Epoch: [46][1390/11272] Time 0.743 (0.788) Data 0.001 (0.003) Loss 1.9742 (2.0252) Prec@1 46.250 (47.764) Prec@5 74.375 (78.046) Epoch: [46][1400/11272] Time 0.873 (0.788) Data 0.002 (0.003) Loss 2.1289 (2.0252) Prec@1 42.500 (47.769) Prec@5 78.750 (78.048) Epoch: [46][1410/11272] Time 0.823 (0.788) Data 0.001 (0.003) Loss 2.2050 (2.0257) Prec@1 45.625 (47.764) Prec@5 73.750 (78.032) Epoch: [46][1420/11272] Time 0.726 (0.788) Data 0.001 (0.003) Loss 1.9633 (2.0257) Prec@1 45.000 (47.752) Prec@5 81.875 (78.038) Epoch: [46][1430/11272] Time 0.881 (0.788) Data 0.001 (0.003) Loss 2.0867 (2.0262) Prec@1 43.750 (47.747) Prec@5 74.375 (78.025) Epoch: [46][1440/11272] Time 0.832 (0.788) Data 0.001 (0.003) Loss 1.8121 (2.0261) Prec@1 47.500 (47.747) Prec@5 85.625 (78.035) Epoch: [46][1450/11272] Time 0.730 (0.788) Data 0.001 (0.003) Loss 1.9118 (2.0264) Prec@1 48.750 (47.736) Prec@5 80.000 (78.028) Epoch: [46][1460/11272] Time 0.721 (0.788) Data 0.001 (0.003) Loss 1.9393 (2.0266) Prec@1 52.500 (47.729) Prec@5 78.750 (78.024) Epoch: [46][1470/11272] Time 0.846 (0.788) Data 0.001 (0.003) Loss 1.9835 (2.0269) Prec@1 51.250 (47.728) Prec@5 78.750 (78.014) Epoch: [46][1480/11272] Time 0.859 (0.788) Data 0.002 (0.003) Loss 2.3051 (2.0271) Prec@1 38.750 (47.724) Prec@5 74.375 (78.011) Epoch: [46][1490/11272] Time 0.712 (0.788) Data 0.001 (0.003) Loss 2.1287 (2.0272) Prec@1 46.250 (47.719) Prec@5 76.250 (78.013) Epoch: [46][1500/11272] Time 0.722 (0.788) Data 0.001 (0.003) Loss 2.1944 (2.0274) Prec@1 43.125 (47.718) Prec@5 76.875 (78.009) Epoch: [46][1510/11272] Time 0.817 (0.788) Data 0.001 (0.003) Loss 1.9083 (2.0271) Prec@1 47.500 (47.720) Prec@5 77.500 (78.016) Epoch: [46][1520/11272] Time 0.832 (0.788) Data 0.002 (0.003) Loss 2.0612 (2.0270) Prec@1 44.375 (47.726) Prec@5 80.000 (78.015) Epoch: [46][1530/11272] Time 0.727 (0.788) Data 0.001 (0.003) Loss 2.0642 (2.0270) Prec@1 50.625 (47.725) Prec@5 75.000 (78.017) Epoch: [46][1540/11272] Time 0.766 (0.788) Data 0.002 (0.003) Loss 1.8870 (2.0269) Prec@1 49.375 (47.728) Prec@5 80.625 (78.018) Epoch: [46][1550/11272] Time 0.822 (0.788) Data 0.001 (0.003) Loss 1.7051 (2.0270) Prec@1 50.000 (47.723) Prec@5 85.625 (78.021) Epoch: [46][1560/11272] Time 0.731 (0.788) Data 0.003 (0.003) Loss 2.0025 (2.0268) Prec@1 50.000 (47.729) Prec@5 79.375 (78.023) Epoch: [46][1570/11272] Time 0.728 (0.788) Data 0.001 (0.003) Loss 2.2675 (2.0271) Prec@1 42.500 (47.720) Prec@5 73.750 (78.023) Epoch: [46][1580/11272] Time 0.846 (0.788) Data 0.001 (0.003) Loss 2.0158 (2.0270) Prec@1 49.375 (47.711) Prec@5 78.125 (78.024) Epoch: [46][1590/11272] Time 0.841 (0.788) Data 0.001 (0.003) Loss 2.1233 (2.0265) Prec@1 45.000 (47.714) Prec@5 78.125 (78.041) Epoch: [46][1600/11272] Time 0.734 (0.788) Data 0.001 (0.003) Loss 2.0610 (2.0263) Prec@1 47.500 (47.707) Prec@5 80.000 (78.056) Epoch: [46][1610/11272] Time 0.738 (0.788) Data 0.001 (0.003) Loss 1.9805 (2.0262) Prec@1 46.250 (47.704) Prec@5 78.750 (78.054) Epoch: [46][1620/11272] Time 0.839 (0.788) Data 0.001 (0.003) Loss 1.9749 (2.0262) Prec@1 50.625 (47.705) Prec@5 79.375 (78.057) Epoch: [46][1630/11272] Time 0.842 (0.788) Data 0.001 (0.003) Loss 1.8764 (2.0262) Prec@1 46.875 (47.701) Prec@5 82.500 (78.061) Epoch: [46][1640/11272] Time 0.769 (0.788) Data 0.002 (0.003) Loss 2.1412 (2.0264) Prec@1 41.875 (47.685) Prec@5 76.875 (78.060) Epoch: [46][1650/11272] Time 0.707 (0.788) Data 0.001 (0.003) Loss 1.8859 (2.0259) Prec@1 51.250 (47.694) Prec@5 78.750 (78.069) Epoch: [46][1660/11272] Time 0.952 (0.788) Data 0.001 (0.003) Loss 2.0058 (2.0260) Prec@1 48.125 (47.694) Prec@5 77.500 (78.065) Epoch: [46][1670/11272] Time 0.827 (0.788) Data 0.001 (0.003) Loss 2.1370 (2.0266) Prec@1 43.125 (47.680) Prec@5 77.500 (78.057) Epoch: [46][1680/11272] Time 0.741 (0.788) Data 0.001 (0.003) Loss 2.1839 (2.0271) Prec@1 45.000 (47.671) Prec@5 71.250 (78.048) Epoch: [46][1690/11272] Time 0.852 (0.788) Data 0.002 (0.003) Loss 1.8292 (2.0269) Prec@1 54.375 (47.668) Prec@5 80.625 (78.051) Epoch: [46][1700/11272] Time 0.843 (0.788) Data 0.001 (0.003) Loss 2.1866 (2.0273) Prec@1 43.750 (47.663) Prec@5 75.625 (78.051) Epoch: [46][1710/11272] Time 0.737 (0.788) Data 0.001 (0.003) Loss 1.8878 (2.0269) Prec@1 51.250 (47.668) Prec@5 81.250 (78.061) Epoch: [46][1720/11272] Time 0.737 (0.788) Data 0.001 (0.003) Loss 2.0833 (2.0274) Prec@1 46.875 (47.657) Prec@5 75.000 (78.049) Epoch: [46][1730/11272] Time 0.833 (0.788) Data 0.001 (0.003) Loss 2.2399 (2.0273) Prec@1 46.250 (47.656) Prec@5 75.000 (78.054) Epoch: [46][1740/11272] Time 0.826 (0.788) Data 0.001 (0.003) Loss 2.0389 (2.0276) Prec@1 48.125 (47.654) Prec@5 77.500 (78.052) Epoch: [46][1750/11272] Time 0.734 (0.788) Data 0.001 (0.003) Loss 2.0268 (2.0273) Prec@1 47.500 (47.657) Prec@5 76.250 (78.063) Epoch: [46][1760/11272] Time 0.726 (0.788) Data 0.001 (0.003) Loss 1.6791 (2.0272) Prec@1 56.875 (47.657) Prec@5 84.375 (78.066) Epoch: [46][1770/11272] Time 0.848 (0.788) Data 0.001 (0.003) Loss 1.9327 (2.0270) Prec@1 49.375 (47.660) Prec@5 78.125 (78.063) Epoch: [46][1780/11272] Time 0.864 (0.788) Data 0.001 (0.003) Loss 1.8642 (2.0269) Prec@1 54.375 (47.669) Prec@5 82.500 (78.062) Epoch: [46][1790/11272] Time 0.739 (0.788) Data 0.001 (0.003) Loss 2.2842 (2.0275) Prec@1 37.500 (47.650) Prec@5 74.375 (78.046) Epoch: [46][1800/11272] Time 0.727 (0.788) Data 0.001 (0.003) Loss 1.9389 (2.0278) Prec@1 42.500 (47.640) Prec@5 81.875 (78.044) Epoch: [46][1810/11272] Time 0.821 (0.788) Data 0.001 (0.003) Loss 1.7562 (2.0274) Prec@1 54.375 (47.649) Prec@5 83.750 (78.053) Epoch: [46][1820/11272] Time 0.719 (0.788) Data 0.003 (0.003) Loss 1.9720 (2.0269) Prec@1 48.125 (47.652) Prec@5 80.000 (78.066) Epoch: [46][1830/11272] Time 0.732 (0.788) Data 0.001 (0.003) Loss 1.9537 (2.0270) Prec@1 43.750 (47.649) Prec@5 81.875 (78.070) Epoch: [46][1840/11272] Time 0.877 (0.788) Data 0.002 (0.003) Loss 2.2708 (2.0276) Prec@1 41.250 (47.634) Prec@5 71.250 (78.059) Epoch: [46][1850/11272] Time 0.839 (0.788) Data 0.001 (0.003) Loss 2.1707 (2.0277) Prec@1 46.250 (47.634) Prec@5 75.625 (78.058) Epoch: [46][1860/11272] Time 0.730 (0.788) Data 0.001 (0.003) Loss 2.2823 (2.0277) Prec@1 40.625 (47.646) Prec@5 76.250 (78.061) Epoch: [46][1870/11272] Time 0.746 (0.788) Data 0.002 (0.003) Loss 2.0634 (2.0278) Prec@1 47.500 (47.642) Prec@5 76.250 (78.065) Epoch: [46][1880/11272] Time 0.833 (0.788) Data 0.001 (0.003) Loss 2.0326 (2.0284) Prec@1 47.500 (47.632) Prec@5 75.625 (78.055) Epoch: [46][1890/11272] Time 0.830 (0.788) Data 0.001 (0.003) Loss 2.0662 (2.0288) Prec@1 46.875 (47.630) Prec@5 79.375 (78.050) Epoch: [46][1900/11272] Time 0.727 (0.788) Data 0.001 (0.003) Loss 2.2407 (2.0288) Prec@1 43.750 (47.627) Prec@5 72.500 (78.047) Epoch: [46][1910/11272] Time 0.740 (0.788) Data 0.001 (0.003) Loss 1.9442 (2.0284) Prec@1 50.000 (47.636) Prec@5 80.000 (78.058) Epoch: [46][1920/11272] Time 0.838 (0.788) Data 0.001 (0.003) Loss 2.1124 (2.0287) Prec@1 46.875 (47.629) Prec@5 78.750 (78.048) Epoch: [46][1930/11272] Time 0.880 (0.788) Data 0.002 (0.003) Loss 2.1563 (2.0286) Prec@1 44.375 (47.634) Prec@5 76.250 (78.046) Epoch: [46][1940/11272] Time 0.730 (0.788) Data 0.001 (0.003) Loss 1.8482 (2.0285) Prec@1 48.750 (47.637) Prec@5 80.625 (78.052) Epoch: [46][1950/11272] Time 0.884 (0.788) Data 0.001 (0.003) Loss 2.1184 (2.0286) Prec@1 46.250 (47.627) Prec@5 73.750 (78.048) Epoch: [46][1960/11272] Time 0.829 (0.788) Data 0.001 (0.003) Loss 1.9876 (2.0288) Prec@1 48.125 (47.624) Prec@5 78.125 (78.036) Epoch: [46][1970/11272] Time 0.745 (0.788) Data 0.002 (0.003) Loss 1.9747 (2.0289) Prec@1 47.500 (47.621) Prec@5 77.500 (78.038) Epoch: [46][1980/11272] Time 0.760 (0.788) Data 0.001 (0.003) Loss 1.9879 (2.0289) Prec@1 46.875 (47.619) Prec@5 78.750 (78.035) Epoch: [46][1990/11272] Time 0.826 (0.788) Data 0.001 (0.003) Loss 2.0789 (2.0289) Prec@1 45.625 (47.618) Prec@5 75.000 (78.030) Epoch: [46][2000/11272] Time 0.831 (0.788) Data 0.001 (0.003) Loss 2.0082 (2.0289) Prec@1 46.875 (47.614) Prec@5 77.500 (78.032) Epoch: [46][2010/11272] Time 0.721 (0.788) Data 0.001 (0.003) Loss 1.8379 (2.0290) Prec@1 50.625 (47.615) Prec@5 81.875 (78.028) Epoch: [46][2020/11272] Time 0.734 (0.788) Data 0.001 (0.003) Loss 2.0174 (2.0290) Prec@1 48.750 (47.618) Prec@5 78.125 (78.035) Epoch: [46][2030/11272] Time 0.830 (0.788) Data 0.001 (0.003) Loss 2.2881 (2.0290) Prec@1 41.875 (47.615) Prec@5 71.875 (78.035) Epoch: [46][2040/11272] Time 0.843 (0.788) Data 0.001 (0.003) Loss 2.1604 (2.0291) Prec@1 43.125 (47.599) Prec@5 78.750 (78.037) Epoch: [46][2050/11272] Time 0.705 (0.788) Data 0.000 (0.003) Loss 2.0417 (2.0290) Prec@1 49.375 (47.604) Prec@5 78.750 (78.038) Epoch: [46][2060/11272] Time 0.737 (0.788) Data 0.001 (0.003) Loss 2.0294 (2.0287) Prec@1 48.125 (47.616) Prec@5 76.250 (78.036) Epoch: [46][2070/11272] Time 0.827 (0.788) Data 0.001 (0.003) Loss 1.9644 (2.0290) Prec@1 47.500 (47.615) Prec@5 78.750 (78.029) Epoch: [46][2080/11272] Time 0.818 (0.788) Data 0.001 (0.003) Loss 1.9017 (2.0289) Prec@1 45.625 (47.619) Prec@5 80.625 (78.035) Epoch: [46][2090/11272] Time 0.725 (0.788) Data 0.001 (0.003) Loss 1.9672 (2.0289) Prec@1 48.125 (47.621) Prec@5 82.500 (78.034) Epoch: [46][2100/11272] Time 0.855 (0.788) Data 0.001 (0.003) Loss 2.0972 (2.0292) Prec@1 48.750 (47.612) Prec@5 80.000 (78.031) Epoch: [46][2110/11272] Time 0.830 (0.788) Data 0.001 (0.003) Loss 1.9749 (2.0293) Prec@1 51.875 (47.610) Prec@5 78.750 (78.032) Epoch: [46][2120/11272] Time 0.732 (0.788) Data 0.001 (0.003) Loss 2.1955 (2.0291) Prec@1 45.000 (47.614) Prec@5 73.125 (78.032) Epoch: [46][2130/11272] Time 0.717 (0.788) Data 0.001 (0.003) Loss 2.1491 (2.0291) Prec@1 43.125 (47.618) Prec@5 74.375 (78.033) Epoch: [46][2140/11272] Time 0.833 (0.788) Data 0.001 (0.003) Loss 2.0525 (2.0293) Prec@1 43.750 (47.601) Prec@5 73.125 (78.029) Epoch: [46][2150/11272] Time 0.813 (0.788) Data 0.001 (0.003) Loss 2.1189 (2.0295) Prec@1 40.625 (47.595) Prec@5 76.250 (78.022) Epoch: [46][2160/11272] Time 0.729 (0.788) Data 0.001 (0.003) Loss 2.1079 (2.0297) Prec@1 48.125 (47.596) Prec@5 78.125 (78.023) Epoch: [46][2170/11272] Time 0.729 (0.788) Data 0.001 (0.003) Loss 2.2196 (2.0300) Prec@1 44.375 (47.589) Prec@5 75.625 (78.021) Epoch: [46][2180/11272] Time 0.861 (0.788) Data 0.002 (0.003) Loss 1.9643 (2.0299) Prec@1 48.125 (47.593) Prec@5 80.625 (78.022) Epoch: [46][2190/11272] Time 0.845 (0.788) Data 0.002 (0.003) Loss 1.8739 (2.0303) Prec@1 50.625 (47.585) Prec@5 80.625 (78.016) Epoch: [46][2200/11272] Time 0.738 (0.788) Data 0.001 (0.003) Loss 1.9182 (2.0304) Prec@1 49.375 (47.591) Prec@5 81.250 (78.017) Epoch: [46][2210/11272] Time 0.727 (0.788) Data 0.001 (0.003) Loss 2.0915 (2.0304) Prec@1 45.000 (47.586) Prec@5 76.875 (78.021) Epoch: [46][2220/11272] Time 0.814 (0.788) Data 0.001 (0.003) Loss 2.1452 (2.0305) Prec@1 45.000 (47.587) Prec@5 80.625 (78.022) Epoch: [46][2230/11272] Time 0.735 (0.788) Data 0.001 (0.003) Loss 1.9132 (2.0301) Prec@1 51.875 (47.589) Prec@5 81.250 (78.026) Epoch: [46][2240/11272] Time 0.730 (0.788) Data 0.001 (0.003) Loss 2.1065 (2.0300) Prec@1 45.000 (47.585) Prec@5 76.875 (78.025) Epoch: [46][2250/11272] Time 0.862 (0.788) Data 0.001 (0.002) Loss 1.8049 (2.0304) Prec@1 54.375 (47.574) Prec@5 81.875 (78.020) Epoch: [46][2260/11272] Time 0.928 (0.788) Data 0.002 (0.002) Loss 2.1459 (2.0303) Prec@1 43.125 (47.576) Prec@5 77.500 (78.024) Epoch: [46][2270/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 2.1942 (2.0305) Prec@1 45.625 (47.578) Prec@5 73.750 (78.021) Epoch: [46][2280/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.1094 (2.0303) Prec@1 45.000 (47.585) Prec@5 73.750 (78.023) Epoch: [46][2290/11272] Time 0.811 (0.788) Data 0.001 (0.002) Loss 2.1397 (2.0306) Prec@1 46.250 (47.579) Prec@5 78.125 (78.015) Epoch: [46][2300/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 2.2346 (2.0307) Prec@1 43.750 (47.576) Prec@5 73.750 (78.017) Epoch: [46][2310/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.3539 (2.0307) Prec@1 40.625 (47.581) Prec@5 66.875 (78.013) Epoch: [46][2320/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 2.3681 (2.0309) Prec@1 43.125 (47.578) Prec@5 73.125 (78.012) Epoch: [46][2330/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 2.3332 (2.0307) Prec@1 41.250 (47.583) Prec@5 71.875 (78.016) Epoch: [46][2340/11272] Time 0.816 (0.788) Data 0.001 (0.002) Loss 1.9023 (2.0306) Prec@1 49.375 (47.587) Prec@5 80.625 (78.019) Epoch: [46][2350/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 2.2400 (2.0306) Prec@1 44.375 (47.583) Prec@5 76.875 (78.025) Epoch: [46][2360/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.9658 (2.0305) Prec@1 50.625 (47.584) Prec@5 78.750 (78.030) Epoch: [46][2370/11272] Time 0.882 (0.788) Data 0.002 (0.002) Loss 1.8603 (2.0305) Prec@1 50.625 (47.583) Prec@5 83.125 (78.029) Epoch: [46][2380/11272] Time 0.743 (0.788) Data 0.001 (0.002) Loss 2.1816 (2.0305) Prec@1 39.375 (47.585) Prec@5 76.250 (78.031) Epoch: [46][2390/11272] Time 0.743 (0.788) Data 0.001 (0.002) Loss 2.0101 (2.0307) Prec@1 45.625 (47.585) Prec@5 80.000 (78.028) Epoch: [46][2400/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 1.7615 (2.0306) Prec@1 53.750 (47.590) Prec@5 80.625 (78.021) Epoch: [46][2410/11272] Time 0.851 (0.788) Data 0.001 (0.002) Loss 1.9022 (2.0308) Prec@1 49.375 (47.583) Prec@5 76.250 (78.016) Epoch: [46][2420/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 1.9535 (2.0305) Prec@1 50.000 (47.593) Prec@5 79.375 (78.021) Epoch: [46][2430/11272] Time 0.754 (0.788) Data 0.001 (0.002) Loss 2.1541 (2.0307) Prec@1 41.875 (47.593) Prec@5 77.500 (78.018) Epoch: [46][2440/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 1.8970 (2.0308) Prec@1 55.625 (47.601) Prec@5 78.750 (78.014) Epoch: [46][2450/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 2.0996 (2.0308) Prec@1 47.500 (47.598) Prec@5 76.250 (78.014) Epoch: [46][2460/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 2.0068 (2.0310) Prec@1 48.125 (47.592) Prec@5 80.000 (78.012) Epoch: [46][2470/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.9228 (2.0307) Prec@1 46.875 (47.603) Prec@5 80.000 (78.018) Epoch: [46][2480/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.0068 (2.0305) Prec@1 48.125 (47.612) Prec@5 82.500 (78.018) Epoch: [46][2490/11272] Time 0.728 (0.788) Data 0.003 (0.002) Loss 1.8406 (2.0299) Prec@1 49.375 (47.623) Prec@5 80.000 (78.026) Epoch: [46][2500/11272] Time 0.703 (0.788) Data 0.001 (0.002) Loss 2.1361 (2.0298) Prec@1 44.375 (47.628) Prec@5 73.750 (78.027) Epoch: [46][2510/11272] Time 0.866 (0.788) Data 0.001 (0.002) Loss 1.8564 (2.0302) Prec@1 48.750 (47.623) Prec@5 81.875 (78.018) Epoch: [46][2520/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 1.9213 (2.0301) Prec@1 48.750 (47.621) Prec@5 81.875 (78.026) Epoch: [46][2530/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 1.9804 (2.0299) Prec@1 50.000 (47.628) Prec@5 78.750 (78.029) Epoch: [46][2540/11272] Time 0.742 (0.788) Data 0.001 (0.002) Loss 2.0049 (2.0300) Prec@1 51.250 (47.624) Prec@5 77.500 (78.026) Epoch: [46][2550/11272] Time 0.834 (0.788) Data 0.002 (0.002) Loss 2.1885 (2.0300) Prec@1 44.375 (47.627) Prec@5 76.875 (78.029) Epoch: [46][2560/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 2.1438 (2.0301) Prec@1 45.000 (47.620) Prec@5 76.250 (78.030) Epoch: [46][2570/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.0238 (2.0303) Prec@1 43.125 (47.612) Prec@5 79.375 (78.029) Epoch: [46][2580/11272] Time 0.747 (0.788) Data 0.001 (0.002) Loss 1.8842 (2.0302) Prec@1 49.375 (47.616) Prec@5 84.375 (78.034) Epoch: [46][2590/11272] Time 0.848 (0.788) Data 0.001 (0.002) Loss 2.1913 (2.0301) Prec@1 45.000 (47.612) Prec@5 75.625 (78.039) Epoch: [46][2600/11272] Time 0.818 (0.788) Data 0.002 (0.002) Loss 1.9879 (2.0302) Prec@1 44.375 (47.609) Prec@5 80.000 (78.036) Epoch: [46][2610/11272] Time 0.751 (0.788) Data 0.001 (0.002) Loss 1.9981 (2.0303) Prec@1 48.750 (47.607) Prec@5 75.000 (78.036) Epoch: [46][2620/11272] Time 0.863 (0.788) Data 0.001 (0.002) Loss 1.9212 (2.0305) Prec@1 50.000 (47.608) Prec@5 81.250 (78.034) Epoch: [46][2630/11272] Time 0.850 (0.788) Data 0.001 (0.002) Loss 1.9027 (2.0303) Prec@1 46.875 (47.611) Prec@5 76.875 (78.038) Epoch: [46][2640/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 2.1013 (2.0305) Prec@1 46.875 (47.611) Prec@5 76.875 (78.032) Epoch: [46][2650/11272] Time 0.757 (0.788) Data 0.001 (0.002) Loss 2.1667 (2.0306) Prec@1 45.000 (47.610) Prec@5 71.250 (78.034) Epoch: [46][2660/11272] Time 0.871 (0.788) Data 0.001 (0.002) Loss 2.0123 (2.0308) Prec@1 49.375 (47.605) Prec@5 78.750 (78.030) Epoch: [46][2670/11272] Time 0.821 (0.788) Data 0.001 (0.002) Loss 2.1291 (2.0311) Prec@1 43.125 (47.598) Prec@5 77.500 (78.028) Epoch: [46][2680/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 1.8190 (2.0313) Prec@1 48.125 (47.592) Prec@5 84.375 (78.028) Epoch: [46][2690/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 2.1746 (2.0314) Prec@1 41.875 (47.590) Prec@5 78.125 (78.030) Epoch: [46][2700/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 1.9892 (2.0313) Prec@1 50.625 (47.596) Prec@5 82.500 (78.033) Epoch: [46][2710/11272] Time 0.838 (0.788) Data 0.002 (0.002) Loss 1.9849 (2.0314) Prec@1 46.875 (47.588) Prec@5 80.000 (78.030) Epoch: [46][2720/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.0975 (2.0312) Prec@1 50.625 (47.597) Prec@5 74.375 (78.030) Epoch: [46][2730/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.9078 (2.0312) Prec@1 48.125 (47.598) Prec@5 82.500 (78.030) Epoch: [46][2740/11272] Time 0.839 (0.788) Data 0.001 (0.002) Loss 2.2304 (2.0314) Prec@1 48.125 (47.602) Prec@5 73.750 (78.026) Epoch: [46][2750/11272] Time 0.739 (0.788) Data 0.004 (0.002) Loss 1.9723 (2.0312) Prec@1 50.000 (47.605) Prec@5 83.125 (78.028) Epoch: [46][2760/11272] Time 0.705 (0.788) Data 0.001 (0.002) Loss 2.1252 (2.0315) Prec@1 43.125 (47.600) Prec@5 73.125 (78.025) Epoch: [46][2770/11272] Time 0.884 (0.788) Data 0.002 (0.002) Loss 1.9486 (2.0313) Prec@1 53.125 (47.610) Prec@5 80.000 (78.029) Epoch: [46][2780/11272] Time 0.851 (0.788) Data 0.001 (0.002) Loss 2.1034 (2.0316) Prec@1 49.375 (47.603) Prec@5 80.000 (78.025) Epoch: [46][2790/11272] Time 0.734 (0.788) Data 0.001 (0.002) Loss 2.2830 (2.0317) Prec@1 38.750 (47.601) Prec@5 71.250 (78.025) Epoch: [46][2800/11272] Time 0.709 (0.788) Data 0.002 (0.002) Loss 1.9495 (2.0316) Prec@1 50.000 (47.602) Prec@5 81.875 (78.026) Epoch: [46][2810/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 2.0316 (2.0317) Prec@1 47.500 (47.605) Prec@5 78.125 (78.023) Epoch: [46][2820/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 1.8668 (2.0316) Prec@1 51.875 (47.608) Prec@5 83.750 (78.025) Epoch: [46][2830/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 1.8968 (2.0317) Prec@1 49.375 (47.607) Prec@5 76.875 (78.020) Epoch: [46][2840/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 2.2718 (2.0319) Prec@1 38.750 (47.597) Prec@5 73.750 (78.014) Epoch: [46][2850/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 2.2335 (2.0320) Prec@1 46.875 (47.600) Prec@5 74.375 (78.011) Epoch: [46][2860/11272] Time 0.841 (0.788) Data 0.001 (0.002) Loss 2.0286 (2.0320) Prec@1 51.875 (47.606) Prec@5 76.250 (78.009) Epoch: [46][2870/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.0524 (2.0321) Prec@1 46.250 (47.603) Prec@5 78.125 (78.007) Epoch: [46][2880/11272] Time 0.919 (0.788) Data 0.001 (0.002) Loss 2.0588 (2.0325) Prec@1 46.250 (47.592) Prec@5 75.625 (78.000) Epoch: [46][2890/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 2.1724 (2.0327) Prec@1 43.125 (47.596) Prec@5 78.750 (77.998) Epoch: [46][2900/11272] Time 0.739 (0.788) Data 0.001 (0.002) Loss 2.0287 (2.0329) Prec@1 50.000 (47.594) Prec@5 76.875 (77.994) Epoch: [46][2910/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 2.1930 (2.0330) Prec@1 41.875 (47.594) Prec@5 80.000 (77.994) Epoch: [46][2920/11272] Time 0.851 (0.788) Data 0.001 (0.002) Loss 2.1912 (2.0331) Prec@1 43.125 (47.587) Prec@5 78.125 (77.991) Epoch: [46][2930/11272] Time 0.859 (0.788) Data 0.001 (0.002) Loss 1.8958 (2.0331) Prec@1 54.375 (47.585) Prec@5 80.000 (77.990) Epoch: [46][2940/11272] Time 0.723 (0.788) Data 0.002 (0.002) Loss 2.0778 (2.0331) Prec@1 41.250 (47.579) Prec@5 78.750 (77.992) Epoch: [46][2950/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 2.1435 (2.0330) Prec@1 50.000 (47.576) Prec@5 75.000 (77.995) Epoch: [46][2960/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 2.0539 (2.0332) Prec@1 48.750 (47.570) Prec@5 76.875 (77.992) Epoch: [46][2970/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 2.2643 (2.0332) Prec@1 44.375 (47.570) Prec@5 76.250 (77.996) Epoch: [46][2980/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 2.0868 (2.0332) Prec@1 52.500 (47.572) Prec@5 76.250 (77.990) Epoch: [46][2990/11272] Time 0.756 (0.788) Data 0.001 (0.002) Loss 2.1108 (2.0334) Prec@1 46.250 (47.566) Prec@5 74.375 (77.987) Epoch: [46][3000/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 2.0500 (2.0332) Prec@1 50.625 (47.570) Prec@5 74.375 (77.987) Epoch: [46][3010/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 2.3544 (2.0332) Prec@1 40.625 (47.572) Prec@5 70.000 (77.983) Epoch: [46][3020/11272] Time 0.742 (0.788) Data 0.001 (0.002) Loss 1.9641 (2.0331) Prec@1 51.250 (47.571) Prec@5 78.750 (77.986) Epoch: [46][3030/11272] Time 0.838 (0.788) Data 0.002 (0.002) Loss 2.4302 (2.0335) Prec@1 33.750 (47.558) Prec@5 71.875 (77.981) Epoch: [46][3040/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 2.2044 (2.0337) Prec@1 42.500 (47.552) Prec@5 77.500 (77.976) Epoch: [46][3050/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 2.0018 (2.0338) Prec@1 45.625 (47.548) Prec@5 81.250 (77.977) Epoch: [46][3060/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.9159 (2.0340) Prec@1 50.000 (47.543) Prec@5 80.625 (77.973) Epoch: [46][3070/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.1848 (2.0340) Prec@1 45.000 (47.543) Prec@5 79.375 (77.974) Epoch: [46][3080/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 2.1621 (2.0340) Prec@1 43.750 (47.548) Prec@5 73.125 (77.974) Epoch: [46][3090/11272] Time 0.719 (0.788) Data 0.001 (0.002) Loss 1.8627 (2.0342) Prec@1 46.875 (47.542) Prec@5 82.500 (77.975) Epoch: [46][3100/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 1.9154 (2.0342) Prec@1 49.375 (47.541) Prec@5 81.875 (77.975) Epoch: [46][3110/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 1.9604 (2.0342) Prec@1 51.250 (47.545) Prec@5 80.000 (77.976) Epoch: [46][3120/11272] Time 0.817 (0.788) Data 0.001 (0.002) Loss 2.0400 (2.0341) Prec@1 45.000 (47.545) Prec@5 76.250 (77.979) Epoch: [46][3130/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 1.9541 (2.0340) Prec@1 48.125 (47.548) Prec@5 82.500 (77.975) Epoch: [46][3140/11272] Time 0.706 (0.788) Data 0.001 (0.002) Loss 2.2008 (2.0341) Prec@1 40.625 (47.547) Prec@5 75.000 (77.970) Epoch: [46][3150/11272] Time 0.895 (0.788) Data 0.001 (0.002) Loss 2.1440 (2.0343) Prec@1 46.250 (47.544) Prec@5 75.625 (77.966) Epoch: [46][3160/11272] Time 0.749 (0.788) Data 0.002 (0.002) Loss 2.0756 (2.0343) Prec@1 46.875 (47.542) Prec@5 75.000 (77.968) Epoch: [46][3170/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 1.9613 (2.0343) Prec@1 46.875 (47.540) Prec@5 81.250 (77.967) Epoch: [46][3180/11272] Time 0.834 (0.788) Data 0.001 (0.002) Loss 2.0877 (2.0346) Prec@1 45.000 (47.536) Prec@5 75.625 (77.962) Epoch: [46][3190/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 2.2901 (2.0347) Prec@1 45.625 (47.536) Prec@5 71.250 (77.958) Epoch: [46][3200/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 2.1747 (2.0347) Prec@1 45.625 (47.535) Prec@5 77.500 (77.960) Epoch: [46][3210/11272] Time 0.709 (0.788) Data 0.001 (0.002) Loss 2.0736 (2.0348) Prec@1 45.000 (47.537) Prec@5 80.625 (77.961) Epoch: [46][3220/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 1.9190 (2.0348) Prec@1 48.750 (47.535) Prec@5 80.625 (77.960) Epoch: [46][3230/11272] Time 0.817 (0.788) Data 0.001 (0.002) Loss 2.1190 (2.0349) Prec@1 45.000 (47.533) Prec@5 78.125 (77.959) Epoch: [46][3240/11272] Time 0.741 (0.788) Data 0.001 (0.002) Loss 2.3818 (2.0352) Prec@1 40.625 (47.526) Prec@5 73.125 (77.961) Epoch: [46][3250/11272] Time 0.699 (0.788) Data 0.001 (0.002) Loss 2.1334 (2.0354) Prec@1 45.625 (47.521) Prec@5 72.500 (77.955) Epoch: [46][3260/11272] Time 0.854 (0.788) Data 0.002 (0.002) Loss 2.0294 (2.0353) Prec@1 45.000 (47.523) Prec@5 80.625 (77.961) Epoch: [46][3270/11272] Time 0.902 (0.788) Data 0.002 (0.002) Loss 1.9652 (2.0353) Prec@1 48.125 (47.521) Prec@5 80.625 (77.960) Epoch: [46][3280/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 2.2080 (2.0353) Prec@1 45.625 (47.525) Prec@5 75.625 (77.960) Epoch: [46][3290/11272] Time 0.854 (0.788) Data 0.001 (0.002) Loss 2.0619 (2.0354) Prec@1 48.750 (47.521) Prec@5 76.875 (77.959) Epoch: [46][3300/11272] Time 0.839 (0.788) Data 0.001 (0.002) Loss 2.0177 (2.0352) Prec@1 51.875 (47.531) Prec@5 78.750 (77.956) Epoch: [46][3310/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.4219 (2.0354) Prec@1 39.375 (47.529) Prec@5 68.125 (77.952) Epoch: [46][3320/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 1.9594 (2.0355) Prec@1 49.375 (47.529) Prec@5 78.125 (77.945) Epoch: [46][3330/11272] Time 0.867 (0.788) Data 0.001 (0.002) Loss 2.1662 (2.0358) Prec@1 42.500 (47.527) Prec@5 75.625 (77.937) Epoch: [46][3340/11272] Time 0.815 (0.788) Data 0.001 (0.002) Loss 1.9514 (2.0360) Prec@1 49.375 (47.519) Prec@5 79.375 (77.935) Epoch: [46][3350/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.0735 (2.0359) Prec@1 41.875 (47.520) Prec@5 77.500 (77.940) Epoch: [46][3360/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.0401 (2.0361) Prec@1 45.625 (47.516) Prec@5 78.125 (77.937) Epoch: [46][3370/11272] Time 0.817 (0.788) Data 0.001 (0.002) Loss 2.0138 (2.0362) Prec@1 48.750 (47.517) Prec@5 78.750 (77.932) Epoch: [46][3380/11272] Time 0.844 (0.788) Data 0.001 (0.002) Loss 2.0564 (2.0363) Prec@1 53.125 (47.515) Prec@5 73.750 (77.931) Epoch: [46][3390/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 2.0198 (2.0364) Prec@1 46.250 (47.512) Prec@5 79.375 (77.931) Epoch: [46][3400/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.4629 (2.0364) Prec@1 38.125 (47.507) Prec@5 69.375 (77.929) Epoch: [46][3410/11272] Time 0.874 (0.788) Data 0.002 (0.002) Loss 2.3008 (2.0365) Prec@1 43.750 (47.509) Prec@5 71.250 (77.928) Epoch: [46][3420/11272] Time 0.716 (0.788) Data 0.004 (0.002) Loss 2.1328 (2.0366) Prec@1 48.750 (47.503) Prec@5 78.125 (77.927) Epoch: [46][3430/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 1.9944 (2.0367) Prec@1 46.250 (47.502) Prec@5 78.125 (77.926) Epoch: [46][3440/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.8321 (2.0367) Prec@1 55.000 (47.504) Prec@5 81.250 (77.927) Epoch: [46][3450/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.1223 (2.0366) Prec@1 42.500 (47.505) Prec@5 75.625 (77.930) Epoch: [46][3460/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.9082 (2.0365) Prec@1 50.625 (47.506) Prec@5 83.750 (77.932) Epoch: [46][3470/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 2.0632 (2.0364) Prec@1 50.000 (47.511) Prec@5 75.000 (77.934) Epoch: [46][3480/11272] Time 0.825 (0.788) Data 0.001 (0.002) Loss 1.9424 (2.0364) Prec@1 48.125 (47.510) Prec@5 79.375 (77.934) Epoch: [46][3490/11272] Time 0.828 (0.788) Data 0.001 (0.002) Loss 2.0899 (2.0365) Prec@1 43.125 (47.507) Prec@5 77.500 (77.932) Epoch: [46][3500/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 1.9052 (2.0365) Prec@1 48.750 (47.510) Prec@5 78.750 (77.931) Epoch: [46][3510/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 2.0896 (2.0364) Prec@1 50.625 (47.516) Prec@5 77.500 (77.934) Epoch: [46][3520/11272] Time 0.839 (0.788) Data 0.001 (0.002) Loss 1.9257 (2.0361) Prec@1 51.250 (47.522) Prec@5 80.000 (77.938) Epoch: [46][3530/11272] Time 0.825 (0.788) Data 0.001 (0.002) Loss 1.9724 (2.0360) Prec@1 50.000 (47.528) Prec@5 78.750 (77.940) Epoch: [46][3540/11272] Time 0.719 (0.788) Data 0.001 (0.002) Loss 2.0321 (2.0359) Prec@1 50.625 (47.525) Prec@5 79.375 (77.941) Epoch: [46][3550/11272] Time 0.897 (0.788) Data 0.001 (0.002) Loss 2.1288 (2.0361) Prec@1 42.500 (47.521) Prec@5 78.750 (77.938) Epoch: [46][3560/11272] Time 0.830 (0.788) Data 0.002 (0.002) Loss 1.9332 (2.0361) Prec@1 53.750 (47.521) Prec@5 77.500 (77.943) Epoch: [46][3570/11272] Time 0.731 (0.788) Data 0.001 (0.002) Loss 2.1046 (2.0361) Prec@1 47.500 (47.524) Prec@5 71.875 (77.941) Epoch: [46][3580/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 2.0712 (2.0363) Prec@1 46.875 (47.524) Prec@5 77.500 (77.936) Epoch: [46][3590/11272] Time 0.849 (0.788) Data 0.001 (0.002) Loss 1.9028 (2.0361) Prec@1 48.750 (47.527) Prec@5 83.125 (77.941) Epoch: [46][3600/11272] Time 0.839 (0.788) Data 0.001 (0.002) Loss 1.9258 (2.0361) Prec@1 50.000 (47.526) Prec@5 76.875 (77.939) Epoch: [46][3610/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 1.9892 (2.0363) Prec@1 48.125 (47.524) Prec@5 82.500 (77.938) Epoch: [46][3620/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.9774 (2.0364) Prec@1 50.625 (47.522) Prec@5 78.750 (77.934) Epoch: [46][3630/11272] Time 0.883 (0.788) Data 0.002 (0.002) Loss 2.1990 (2.0363) Prec@1 46.250 (47.522) Prec@5 76.250 (77.939) Epoch: [46][3640/11272] Time 0.849 (0.788) Data 0.002 (0.002) Loss 2.2244 (2.0366) Prec@1 41.875 (47.519) Prec@5 71.875 (77.933) Epoch: [46][3650/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 2.2421 (2.0368) Prec@1 43.125 (47.514) Prec@5 76.250 (77.930) Epoch: [46][3660/11272] Time 0.713 (0.788) Data 0.001 (0.002) Loss 2.0788 (2.0370) Prec@1 43.750 (47.508) Prec@5 77.500 (77.928) Epoch: [46][3670/11272] Time 0.862 (0.788) Data 0.002 (0.002) Loss 1.8897 (2.0370) Prec@1 51.250 (47.509) Prec@5 82.500 (77.926) Epoch: [46][3680/11272] Time 0.748 (0.788) Data 0.003 (0.002) Loss 2.1569 (2.0371) Prec@1 46.250 (47.508) Prec@5 76.250 (77.925) Epoch: [46][3690/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 1.9440 (2.0372) Prec@1 53.125 (47.507) Prec@5 82.500 (77.927) Epoch: [46][3700/11272] Time 0.844 (0.788) Data 0.001 (0.002) Loss 2.2538 (2.0372) Prec@1 46.250 (47.510) Prec@5 74.375 (77.929) Epoch: [46][3710/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 2.0269 (2.0374) Prec@1 49.375 (47.504) Prec@5 80.625 (77.926) Epoch: [46][3720/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 2.0388 (2.0373) Prec@1 46.250 (47.511) Prec@5 79.375 (77.926) Epoch: [46][3730/11272] Time 0.758 (0.788) Data 0.001 (0.002) Loss 1.9072 (2.0372) Prec@1 50.000 (47.510) Prec@5 79.375 (77.924) Epoch: [46][3740/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.9985 (2.0374) Prec@1 47.500 (47.510) Prec@5 78.125 (77.920) Epoch: [46][3750/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.2387 (2.0373) Prec@1 50.625 (47.513) Prec@5 75.000 (77.920) Epoch: [46][3760/11272] Time 0.741 (0.788) Data 0.001 (0.002) Loss 1.9739 (2.0373) Prec@1 46.250 (47.515) Prec@5 84.375 (77.921) Epoch: [46][3770/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 1.7994 (2.0372) Prec@1 52.500 (47.520) Prec@5 84.375 (77.921) Epoch: [46][3780/11272] Time 0.866 (0.788) Data 0.001 (0.002) Loss 1.9659 (2.0373) Prec@1 46.250 (47.519) Prec@5 81.875 (77.922) Epoch: [46][3790/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 2.1088 (2.0374) Prec@1 43.125 (47.517) Prec@5 76.250 (77.919) Epoch: [46][3800/11272] Time 0.778 (0.788) Data 0.003 (0.002) Loss 2.0320 (2.0375) Prec@1 51.875 (47.512) Prec@5 77.500 (77.919) Epoch: [46][3810/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 2.0603 (2.0374) Prec@1 49.375 (47.511) Prec@5 77.500 (77.920) Epoch: [46][3820/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.9385 (2.0372) Prec@1 51.250 (47.517) Prec@5 76.875 (77.923) Epoch: [46][3830/11272] Time 0.750 (0.788) Data 0.001 (0.002) Loss 1.9335 (2.0372) Prec@1 51.250 (47.514) Prec@5 80.000 (77.924) Epoch: [46][3840/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 1.8893 (2.0371) Prec@1 51.250 (47.516) Prec@5 80.625 (77.928) Epoch: [46][3850/11272] Time 0.873 (0.788) Data 0.002 (0.002) Loss 1.9581 (2.0370) Prec@1 54.375 (47.520) Prec@5 80.625 (77.928) Epoch: [46][3860/11272] Time 0.855 (0.788) Data 0.001 (0.002) Loss 2.1145 (2.0371) Prec@1 46.250 (47.519) Prec@5 73.125 (77.926) Epoch: [46][3870/11272] Time 0.739 (0.788) Data 0.002 (0.002) Loss 2.3153 (2.0373) Prec@1 43.125 (47.518) Prec@5 70.625 (77.922) Epoch: [46][3880/11272] Time 0.739 (0.788) Data 0.001 (0.002) Loss 2.0089 (2.0372) Prec@1 48.125 (47.519) Prec@5 77.500 (77.925) Epoch: [46][3890/11272] Time 0.865 (0.788) Data 0.001 (0.002) Loss 2.3137 (2.0373) Prec@1 40.625 (47.518) Prec@5 75.625 (77.921) Epoch: [46][3900/11272] Time 0.790 (0.788) Data 0.001 (0.002) Loss 2.0632 (2.0372) Prec@1 48.750 (47.521) Prec@5 76.875 (77.924) Epoch: [46][3910/11272] Time 0.722 (0.788) Data 0.001 (0.002) Loss 2.0103 (2.0373) Prec@1 48.750 (47.516) Prec@5 78.125 (77.921) Epoch: [46][3920/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 1.9654 (2.0374) Prec@1 51.250 (47.517) Prec@5 81.250 (77.919) Epoch: [46][3930/11272] Time 0.879 (0.788) Data 0.002 (0.002) Loss 2.0276 (2.0374) Prec@1 44.375 (47.515) Prec@5 82.500 (77.918) Epoch: [46][3940/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.8569 (2.0375) Prec@1 46.250 (47.508) Prec@5 83.125 (77.917) Epoch: [46][3950/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 1.9972 (2.0376) Prec@1 45.625 (47.507) Prec@5 76.875 (77.915) Epoch: [46][3960/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 2.0478 (2.0374) Prec@1 48.750 (47.510) Prec@5 81.250 (77.919) Epoch: [46][3970/11272] Time 0.870 (0.788) Data 0.001 (0.002) Loss 2.1275 (2.0374) Prec@1 48.750 (47.506) Prec@5 78.125 (77.915) Epoch: [46][3980/11272] Time 0.741 (0.788) Data 0.001 (0.002) Loss 2.2380 (2.0375) Prec@1 39.375 (47.503) Prec@5 77.500 (77.913) Epoch: [46][3990/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 2.1326 (2.0376) Prec@1 47.500 (47.504) Prec@5 75.625 (77.914) Epoch: [46][4000/11272] Time 0.890 (0.788) Data 0.002 (0.002) Loss 2.0207 (2.0375) Prec@1 47.500 (47.503) Prec@5 82.500 (77.918) Epoch: [46][4010/11272] Time 0.804 (0.788) Data 0.001 (0.002) Loss 1.8465 (2.0374) Prec@1 51.875 (47.506) Prec@5 80.625 (77.919) Epoch: [46][4020/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 1.9896 (2.0373) Prec@1 48.750 (47.505) Prec@5 75.625 (77.918) Epoch: [46][4030/11272] Time 0.731 (0.788) Data 0.002 (0.002) Loss 2.1789 (2.0373) Prec@1 45.625 (47.503) Prec@5 76.875 (77.918) Epoch: [46][4040/11272] Time 0.897 (0.788) Data 0.002 (0.002) Loss 1.8649 (2.0372) Prec@1 52.500 (47.500) Prec@5 78.125 (77.919) Epoch: [46][4050/11272] Time 0.864 (0.788) Data 0.001 (0.002) Loss 1.9710 (2.0373) Prec@1 48.125 (47.499) Prec@5 80.625 (77.918) Epoch: [46][4060/11272] Time 0.758 (0.788) Data 0.001 (0.002) Loss 2.0318 (2.0374) Prec@1 46.875 (47.497) Prec@5 80.000 (77.917) Epoch: [46][4070/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 1.9471 (2.0373) Prec@1 53.125 (47.498) Prec@5 78.125 (77.917) Epoch: [46][4080/11272] Time 0.832 (0.788) Data 0.001 (0.002) Loss 2.1231 (2.0372) Prec@1 50.000 (47.497) Prec@5 78.125 (77.919) Epoch: [46][4090/11272] Time 0.735 (0.788) Data 0.002 (0.002) Loss 2.0434 (2.0375) Prec@1 44.375 (47.491) Prec@5 81.250 (77.914) Epoch: [46][4100/11272] Time 0.734 (0.788) Data 0.001 (0.002) Loss 2.1304 (2.0377) Prec@1 49.375 (47.488) Prec@5 76.250 (77.913) Epoch: [46][4110/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 1.9982 (2.0376) Prec@1 51.875 (47.492) Prec@5 77.500 (77.912) Epoch: [46][4120/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 2.0336 (2.0375) Prec@1 46.875 (47.493) Prec@5 75.000 (77.914) Epoch: [46][4130/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.0722 (2.0378) Prec@1 47.500 (47.489) Prec@5 78.125 (77.909) Epoch: [46][4140/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 2.1543 (2.0380) Prec@1 40.625 (47.484) Prec@5 76.250 (77.907) Epoch: [46][4150/11272] Time 0.896 (0.788) Data 0.001 (0.002) Loss 1.8819 (2.0381) Prec@1 51.875 (47.482) Prec@5 79.375 (77.906) Epoch: [46][4160/11272] Time 0.870 (0.788) Data 0.002 (0.002) Loss 2.0005 (2.0380) Prec@1 49.375 (47.481) Prec@5 75.000 (77.906) Epoch: [46][4170/11272] Time 0.746 (0.788) Data 0.001 (0.002) Loss 1.8103 (2.0379) Prec@1 53.125 (47.483) Prec@5 83.750 (77.908) Epoch: [46][4180/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.3292 (2.0379) Prec@1 43.125 (47.484) Prec@5 69.375 (77.906) Epoch: [46][4190/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 2.0698 (2.0380) Prec@1 49.375 (47.482) Prec@5 73.750 (77.904) Epoch: [46][4200/11272] Time 0.818 (0.788) Data 0.001 (0.002) Loss 2.1066 (2.0379) Prec@1 46.875 (47.488) Prec@5 76.875 (77.905) Epoch: [46][4210/11272] Time 0.758 (0.788) Data 0.001 (0.002) Loss 2.2737 (2.0382) Prec@1 45.000 (47.482) Prec@5 74.375 (77.901) Epoch: [46][4220/11272] Time 0.891 (0.788) Data 0.002 (0.002) Loss 2.1819 (2.0382) Prec@1 41.875 (47.480) Prec@5 75.000 (77.901) Epoch: [46][4230/11272] Time 0.882 (0.788) Data 0.002 (0.002) Loss 1.9446 (2.0383) Prec@1 48.750 (47.479) Prec@5 79.375 (77.899) Epoch: [46][4240/11272] Time 0.741 (0.788) Data 0.001 (0.002) Loss 2.1626 (2.0383) Prec@1 44.375 (47.476) Prec@5 71.250 (77.899) Epoch: [46][4250/11272] Time 0.733 (0.788) Data 0.002 (0.002) Loss 1.8426 (2.0382) Prec@1 51.875 (47.479) Prec@5 85.000 (77.901) Epoch: [46][4260/11272] Time 0.862 (0.788) Data 0.001 (0.002) Loss 2.2002 (2.0382) Prec@1 43.125 (47.479) Prec@5 73.125 (77.898) Epoch: [46][4270/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 2.2445 (2.0382) Prec@1 47.500 (47.483) Prec@5 70.625 (77.898) Epoch: [46][4280/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 2.0847 (2.0383) Prec@1 45.000 (47.481) Prec@5 77.500 (77.895) Epoch: [46][4290/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 1.8371 (2.0380) Prec@1 50.000 (47.484) Prec@5 83.750 (77.901) Epoch: [46][4300/11272] Time 0.834 (0.788) Data 0.001 (0.002) Loss 2.2664 (2.0380) Prec@1 44.375 (47.482) Prec@5 74.375 (77.904) Epoch: [46][4310/11272] Time 0.894 (0.788) Data 0.002 (0.002) Loss 1.9809 (2.0380) Prec@1 46.875 (47.482) Prec@5 81.875 (77.907) Epoch: [46][4320/11272] Time 0.742 (0.789) Data 0.001 (0.002) Loss 2.0073 (2.0380) Prec@1 48.750 (47.479) Prec@5 76.250 (77.908) Epoch: [46][4330/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.8736 (2.0380) Prec@1 49.375 (47.477) Prec@5 78.750 (77.907) Epoch: [46][4340/11272] Time 0.871 (0.789) Data 0.001 (0.002) Loss 2.0956 (2.0381) Prec@1 46.875 (47.473) Prec@5 78.750 (77.904) Epoch: [46][4350/11272] Time 0.731 (0.789) Data 0.004 (0.002) Loss 2.2742 (2.0383) Prec@1 41.250 (47.470) Prec@5 71.875 (77.898) Epoch: [46][4360/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.9642 (2.0384) Prec@1 46.250 (47.468) Prec@5 81.875 (77.897) Epoch: [46][4370/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 1.9502 (2.0385) Prec@1 54.375 (47.466) Prec@5 80.625 (77.898) Epoch: [46][4380/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 2.0338 (2.0387) Prec@1 51.250 (47.463) Prec@5 76.875 (77.894) Epoch: [46][4390/11272] Time 0.766 (0.789) Data 0.002 (0.002) Loss 1.9278 (2.0388) Prec@1 52.500 (47.460) Prec@5 78.750 (77.893) Epoch: [46][4400/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 2.0037 (2.0391) Prec@1 55.000 (47.455) Prec@5 74.375 (77.888) Epoch: [46][4410/11272] Time 0.871 (0.789) Data 0.002 (0.002) Loss 2.1562 (2.0391) Prec@1 45.625 (47.458) Prec@5 73.125 (77.887) Epoch: [46][4420/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 2.1177 (2.0392) Prec@1 45.000 (47.456) Prec@5 77.500 (77.884) Epoch: [46][4430/11272] Time 0.737 (0.789) Data 0.002 (0.002) Loss 2.2389 (2.0392) Prec@1 45.000 (47.456) Prec@5 76.875 (77.884) Epoch: [46][4440/11272] Time 0.745 (0.789) Data 0.001 (0.002) Loss 2.5023 (2.0394) Prec@1 38.750 (47.450) Prec@5 70.625 (77.881) Epoch: [46][4450/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.9445 (2.0394) Prec@1 49.375 (47.448) Prec@5 80.000 (77.879) Epoch: [46][4460/11272] Time 0.856 (0.789) Data 0.002 (0.002) Loss 1.9242 (2.0393) Prec@1 53.125 (47.455) Prec@5 81.250 (77.883) Epoch: [46][4470/11272] Time 0.730 (0.789) Data 0.002 (0.002) Loss 2.0471 (2.0393) Prec@1 48.125 (47.453) Prec@5 79.375 (77.883) Epoch: [46][4480/11272] Time 0.865 (0.789) Data 0.001 (0.002) Loss 2.0716 (2.0393) Prec@1 45.625 (47.453) Prec@5 75.625 (77.882) Epoch: [46][4490/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 1.8646 (2.0393) Prec@1 52.500 (47.455) Prec@5 80.625 (77.883) Epoch: [46][4500/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 2.0860 (2.0392) Prec@1 47.500 (47.460) Prec@5 72.500 (77.884) Epoch: [46][4510/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.8844 (2.0391) Prec@1 51.250 (47.459) Prec@5 83.125 (77.885) Epoch: [46][4520/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 2.1223 (2.0391) Prec@1 41.875 (47.459) Prec@5 78.125 (77.888) Epoch: [46][4530/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.8975 (2.0392) Prec@1 50.625 (47.458) Prec@5 80.625 (77.885) Epoch: [46][4540/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 2.1404 (2.0392) Prec@1 42.500 (47.460) Prec@5 78.125 (77.884) Epoch: [46][4550/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 2.1749 (2.0394) Prec@1 47.500 (47.459) Prec@5 75.625 (77.880) Epoch: [46][4560/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.7170 (2.0394) Prec@1 49.375 (47.459) Prec@5 86.875 (77.882) Epoch: [46][4570/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.9753 (2.0393) Prec@1 53.125 (47.460) Prec@5 81.875 (77.886) Epoch: [46][4580/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 2.0581 (2.0393) Prec@1 46.250 (47.458) Prec@5 75.625 (77.884) Epoch: [46][4590/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 2.1342 (2.0393) Prec@1 46.875 (47.458) Prec@5 77.500 (77.883) Epoch: [46][4600/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 2.3941 (2.0396) Prec@1 38.125 (47.450) Prec@5 73.750 (77.879) Epoch: [46][4610/11272] Time 0.753 (0.789) Data 0.004 (0.002) Loss 2.0952 (2.0399) Prec@1 49.375 (47.447) Prec@5 76.875 (77.876) Epoch: [46][4620/11272] Time 0.721 (0.789) Data 0.002 (0.002) Loss 2.0905 (2.0397) Prec@1 48.125 (47.448) Prec@5 77.500 (77.880) Epoch: [46][4630/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 2.2303 (2.0398) Prec@1 40.625 (47.444) Prec@5 73.750 (77.879) Epoch: [46][4640/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 2.0425 (2.0399) Prec@1 45.625 (47.440) Prec@5 78.125 (77.879) Epoch: [46][4650/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.9189 (2.0399) Prec@1 49.375 (47.440) Prec@5 76.875 (77.877) Epoch: [46][4660/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 2.1895 (2.0399) Prec@1 42.500 (47.440) Prec@5 76.250 (77.878) Epoch: [46][4670/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.9698 (2.0398) Prec@1 46.875 (47.442) Prec@5 76.875 (77.879) Epoch: [46][4680/11272] Time 0.892 (0.789) Data 0.002 (0.002) Loss 1.9706 (2.0397) Prec@1 50.000 (47.448) Prec@5 80.000 (77.879) Epoch: [46][4690/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.9599 (2.0395) Prec@1 53.125 (47.452) Prec@5 79.375 (77.883) Epoch: [46][4700/11272] Time 0.748 (0.789) Data 0.001 (0.002) Loss 1.9237 (2.0395) Prec@1 52.500 (47.454) Prec@5 80.625 (77.880) Epoch: [46][4710/11272] Time 0.810 (0.789) Data 0.002 (0.002) Loss 2.1687 (2.0395) Prec@1 47.500 (47.454) Prec@5 76.250 (77.881) Epoch: [46][4720/11272] Time 0.840 (0.789) Data 0.002 (0.002) Loss 2.0149 (2.0396) Prec@1 42.500 (47.451) Prec@5 78.750 (77.880) Epoch: [46][4730/11272] Time 0.783 (0.789) Data 0.002 (0.002) Loss 2.1508 (2.0395) Prec@1 44.375 (47.453) Prec@5 76.250 (77.883) Epoch: [46][4740/11272] Time 0.857 (0.789) Data 0.001 (0.002) Loss 1.8743 (2.0395) Prec@1 50.625 (47.455) Prec@5 85.000 (77.884) Epoch: [46][4750/11272] Time 0.877 (0.789) Data 0.002 (0.002) Loss 1.9816 (2.0395) Prec@1 52.500 (47.453) Prec@5 79.375 (77.881) Epoch: [46][4760/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 2.1319 (2.0395) Prec@1 47.500 (47.451) Prec@5 77.500 (77.883) Epoch: [46][4770/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 2.1053 (2.0395) Prec@1 43.125 (47.452) Prec@5 78.750 (77.882) Epoch: [46][4780/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 2.2508 (2.0396) Prec@1 43.125 (47.452) Prec@5 77.500 (77.882) Epoch: [46][4790/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 1.7433 (2.0396) Prec@1 57.500 (47.452) Prec@5 83.750 (77.883) Epoch: [46][4800/11272] Time 0.758 (0.789) Data 0.002 (0.002) Loss 1.8165 (2.0395) Prec@1 53.125 (47.454) Prec@5 82.500 (77.885) Epoch: [46][4810/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 2.0094 (2.0396) Prec@1 49.375 (47.453) Prec@5 81.250 (77.884) Epoch: [46][4820/11272] Time 0.875 (0.789) Data 0.001 (0.002) Loss 1.9305 (2.0396) Prec@1 55.000 (47.455) Prec@5 81.250 (77.884) Epoch: [46][4830/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.9491 (2.0397) Prec@1 43.750 (47.449) Prec@5 82.500 (77.880) Epoch: [46][4840/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 2.3003 (2.0398) Prec@1 43.750 (47.447) Prec@5 68.750 (77.880) Epoch: [46][4850/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.9699 (2.0397) Prec@1 46.250 (47.445) Prec@5 77.500 (77.880) Epoch: [46][4860/11272] Time 0.854 (0.789) Data 0.002 (0.002) Loss 2.0034 (2.0397) Prec@1 46.875 (47.445) Prec@5 80.625 (77.882) Epoch: [46][4870/11272] Time 0.796 (0.789) Data 0.001 (0.002) Loss 1.9813 (2.0397) Prec@1 50.000 (47.443) Prec@5 80.000 (77.880) Epoch: [46][4880/11272] Time 0.755 (0.789) Data 0.002 (0.002) Loss 1.9602 (2.0397) Prec@1 48.125 (47.440) Prec@5 78.750 (77.882) Epoch: [46][4890/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.8388 (2.0397) Prec@1 49.375 (47.439) Prec@5 78.125 (77.882) Epoch: [46][4900/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.8808 (2.0396) Prec@1 47.500 (47.437) Prec@5 80.625 (77.884) Epoch: [46][4910/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 2.0218 (2.0397) Prec@1 48.125 (47.433) Prec@5 77.500 (77.883) Epoch: [46][4920/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 2.3116 (2.0399) Prec@1 43.750 (47.432) Prec@5 71.875 (77.881) Epoch: [46][4930/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.9619 (2.0398) Prec@1 46.875 (47.432) Prec@5 81.250 (77.881) Epoch: [46][4940/11272] Time 0.808 (0.789) Data 0.001 (0.002) Loss 2.0995 (2.0400) Prec@1 43.125 (47.427) Prec@5 79.375 (77.879) Epoch: [46][4950/11272] Time 0.768 (0.789) Data 0.002 (0.002) Loss 1.8258 (2.0400) Prec@1 50.625 (47.428) Prec@5 81.875 (77.878) Epoch: [46][4960/11272] Time 0.746 (0.789) Data 0.001 (0.002) Loss 2.0763 (2.0401) Prec@1 43.125 (47.427) Prec@5 77.500 (77.878) Epoch: [46][4970/11272] Time 0.849 (0.789) Data 0.002 (0.002) Loss 2.2090 (2.0402) Prec@1 44.375 (47.423) Prec@5 73.750 (77.875) Epoch: [46][4980/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 2.1414 (2.0402) Prec@1 44.375 (47.424) Prec@5 75.000 (77.874) Epoch: [46][4990/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.9243 (2.0402) Prec@1 50.625 (47.421) Prec@5 76.875 (77.873) Epoch: [46][5000/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 2.0050 (2.0402) Prec@1 45.625 (47.418) Prec@5 80.625 (77.875) Epoch: [46][5010/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 2.0802 (2.0401) Prec@1 48.125 (47.420) Prec@5 78.125 (77.877) Epoch: [46][5020/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 2.2457 (2.0401) Prec@1 39.375 (47.417) Prec@5 73.125 (77.878) Epoch: [46][5030/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 2.0746 (2.0401) Prec@1 46.875 (47.412) Prec@5 75.000 (77.875) Epoch: [46][5040/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 2.1909 (2.0402) Prec@1 41.875 (47.407) Prec@5 78.750 (77.877) Epoch: [46][5050/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 2.1893 (2.0402) Prec@1 45.625 (47.406) Prec@5 74.375 (77.875) Epoch: [46][5060/11272] Time 0.748 (0.789) Data 0.002 (0.002) Loss 1.9316 (2.0401) Prec@1 50.625 (47.410) Prec@5 81.250 (77.876) Epoch: [46][5070/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.9531 (2.0401) Prec@1 52.500 (47.411) Prec@5 79.375 (77.876) Epoch: [46][5080/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 2.2146 (2.0403) Prec@1 42.500 (47.408) Prec@5 73.750 (77.872) Epoch: [46][5090/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.9759 (2.0404) Prec@1 49.375 (47.409) Prec@5 78.750 (77.874) Epoch: [46][5100/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 2.1496 (2.0404) Prec@1 45.000 (47.412) Prec@5 76.250 (77.874) Epoch: [46][5110/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 2.0551 (2.0403) Prec@1 49.375 (47.413) Prec@5 76.250 (77.877) Epoch: [46][5120/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 2.0032 (2.0405) Prec@1 46.875 (47.410) Prec@5 80.000 (77.872) Epoch: [46][5130/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 2.2552 (2.0405) Prec@1 39.375 (47.411) Prec@5 71.250 (77.872) Epoch: [46][5140/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.8927 (2.0404) Prec@1 46.875 (47.413) Prec@5 78.750 (77.873) Epoch: [46][5150/11272] Time 0.876 (0.790) Data 0.001 (0.002) Loss 2.0662 (2.0404) Prec@1 43.125 (47.411) Prec@5 76.250 (77.873) Epoch: [46][5160/11272] Time 0.854 (0.790) Data 0.001 (0.002) Loss 2.1098 (2.0405) Prec@1 43.750 (47.409) Prec@5 78.125 (77.872) Epoch: [46][5170/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.6382 (2.0405) Prec@1 54.375 (47.408) Prec@5 85.000 (77.870) Epoch: [46][5180/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 2.1868 (2.0405) Prec@1 43.750 (47.407) Prec@5 78.125 (77.870) Epoch: [46][5190/11272] Time 0.862 (0.790) Data 0.002 (0.002) Loss 1.9797 (2.0405) Prec@1 48.125 (47.404) Prec@5 78.750 (77.875) Epoch: [46][5200/11272] Time 0.859 (0.790) Data 0.002 (0.002) Loss 2.0951 (2.0404) Prec@1 50.625 (47.406) Prec@5 75.000 (77.876) Epoch: [46][5210/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.9371 (2.0404) Prec@1 50.000 (47.406) Prec@5 83.125 (77.879) Epoch: [46][5220/11272] Time 0.765 (0.790) Data 0.002 (0.002) Loss 1.9979 (2.0403) Prec@1 43.125 (47.407) Prec@5 82.500 (77.883) Epoch: [46][5230/11272] Time 0.900 (0.790) Data 0.002 (0.002) Loss 2.0222 (2.0403) Prec@1 46.250 (47.407) Prec@5 75.625 (77.884) Epoch: [46][5240/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 2.3078 (2.0405) Prec@1 42.500 (47.404) Prec@5 73.125 (77.881) Epoch: [46][5250/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 2.0998 (2.0405) Prec@1 48.750 (47.406) Prec@5 77.500 (77.880) Epoch: [46][5260/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 2.0177 (2.0405) Prec@1 48.750 (47.409) Prec@5 76.875 (77.880) Epoch: [46][5270/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 2.0283 (2.0406) Prec@1 48.750 (47.405) Prec@5 74.375 (77.878) Epoch: [46][5280/11272] Time 0.735 (0.790) Data 0.003 (0.002) Loss 2.3570 (2.0406) Prec@1 38.750 (47.405) Prec@5 72.500 (77.877) Epoch: [46][5290/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 2.0851 (2.0408) Prec@1 43.750 (47.400) Prec@5 80.000 (77.875) Epoch: [46][5300/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 2.1216 (2.0408) Prec@1 40.625 (47.395) Prec@5 75.000 (77.874) Epoch: [46][5310/11272] Time 0.844 (0.790) Data 0.002 (0.002) Loss 1.9770 (2.0408) Prec@1 48.750 (47.398) Prec@5 78.125 (77.876) Epoch: [46][5320/11272] Time 0.742 (0.790) Data 0.001 (0.002) Loss 2.1083 (2.0407) Prec@1 43.125 (47.398) Prec@5 76.875 (77.879) Epoch: [46][5330/11272] Time 0.754 (0.790) Data 0.001 (0.002) Loss 1.9359 (2.0406) Prec@1 51.875 (47.398) Prec@5 80.625 (77.880) Epoch: [46][5340/11272] Time 0.898 (0.790) Data 0.001 (0.002) Loss 2.0110 (2.0404) Prec@1 48.125 (47.401) Prec@5 79.375 (77.884) Epoch: [46][5350/11272] Time 0.855 (0.790) Data 0.002 (0.002) Loss 2.1897 (2.0405) Prec@1 42.500 (47.400) Prec@5 77.500 (77.881) Epoch: [46][5360/11272] Time 0.745 (0.790) Data 0.001 (0.002) Loss 1.9274 (2.0406) Prec@1 48.125 (47.397) Prec@5 78.750 (77.881) Epoch: [46][5370/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 2.2126 (2.0404) Prec@1 45.000 (47.401) Prec@5 76.250 (77.884) Epoch: [46][5380/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 2.0258 (2.0404) Prec@1 46.875 (47.402) Prec@5 79.375 (77.888) Epoch: [46][5390/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 1.9088 (2.0404) Prec@1 50.625 (47.404) Prec@5 80.000 (77.887) Epoch: [46][5400/11272] Time 0.748 (0.790) Data 0.002 (0.002) Loss 2.1183 (2.0404) Prec@1 48.750 (47.403) Prec@5 77.500 (77.886) Epoch: [46][5410/11272] Time 0.887 (0.790) Data 0.001 (0.002) Loss 2.1030 (2.0406) Prec@1 41.250 (47.399) Prec@5 77.500 (77.884) Epoch: [46][5420/11272] Time 0.855 (0.790) Data 0.001 (0.002) Loss 1.9471 (2.0407) Prec@1 50.625 (47.398) Prec@5 80.625 (77.885) Epoch: [46][5430/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 1.9906 (2.0407) Prec@1 45.000 (47.401) Prec@5 83.125 (77.887) Epoch: [46][5440/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 2.2380 (2.0408) Prec@1 45.000 (47.400) Prec@5 73.750 (77.883) Epoch: [46][5450/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.8437 (2.0409) Prec@1 46.875 (47.399) Prec@5 81.875 (77.882) Epoch: [46][5460/11272] Time 0.827 (0.790) Data 0.002 (0.002) Loss 1.9586 (2.0410) Prec@1 49.375 (47.396) Prec@5 78.125 (77.881) Epoch: [46][5470/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 2.3022 (2.0411) Prec@1 44.375 (47.395) Prec@5 73.750 (77.878) Epoch: [46][5480/11272] Time 0.733 (0.790) Data 0.002 (0.002) Loss 2.2750 (2.0413) Prec@1 46.875 (47.391) Prec@5 75.000 (77.874) Epoch: [46][5490/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.9706 (2.0412) Prec@1 49.375 (47.394) Prec@5 75.625 (77.871) Epoch: [46][5500/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 2.0399 (2.0412) Prec@1 49.375 (47.394) Prec@5 78.750 (77.874) Epoch: [46][5510/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 1.9778 (2.0412) Prec@1 48.125 (47.394) Prec@5 79.375 (77.873) Epoch: [46][5520/11272] Time 0.753 (0.790) Data 0.001 (0.002) Loss 2.2323 (2.0413) Prec@1 43.125 (47.390) Prec@5 77.500 (77.873) Epoch: [46][5530/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 2.1196 (2.0413) Prec@1 41.875 (47.391) Prec@5 71.875 (77.871) Epoch: [46][5540/11272] Time 0.747 (0.790) Data 0.004 (0.002) Loss 2.0709 (2.0413) Prec@1 46.250 (47.390) Prec@5 79.375 (77.869) Epoch: [46][5550/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 2.0556 (2.0413) Prec@1 47.500 (47.389) Prec@5 75.000 (77.869) Epoch: [46][5560/11272] Time 0.878 (0.790) Data 0.002 (0.002) Loss 2.2747 (2.0415) Prec@1 45.625 (47.390) Prec@5 70.000 (77.865) Epoch: [46][5570/11272] Time 0.849 (0.790) Data 0.002 (0.002) Loss 2.2270 (2.0416) Prec@1 39.375 (47.388) Prec@5 75.000 (77.862) Epoch: [46][5580/11272] Time 0.758 (0.790) Data 0.001 (0.002) Loss 2.1784 (2.0417) Prec@1 43.125 (47.385) Prec@5 78.750 (77.861) Epoch: [46][5590/11272] Time 0.738 (0.790) Data 0.002 (0.002) Loss 1.8290 (2.0417) Prec@1 50.625 (47.381) Prec@5 83.125 (77.860) Epoch: [46][5600/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 2.0608 (2.0418) Prec@1 48.750 (47.377) Prec@5 78.750 (77.860) Epoch: [46][5610/11272] Time 0.854 (0.790) Data 0.002 (0.002) Loss 2.0993 (2.0418) Prec@1 47.500 (47.379) Prec@5 71.875 (77.861) Epoch: [46][5620/11272] Time 0.735 (0.790) Data 0.001 (0.002) Loss 2.0368 (2.0418) Prec@1 44.375 (47.377) Prec@5 80.000 (77.861) Epoch: [46][5630/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 2.0814 (2.0418) Prec@1 47.500 (47.374) Prec@5 74.375 (77.860) Epoch: [46][5640/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 2.1338 (2.0418) Prec@1 44.375 (47.373) Prec@5 75.625 (77.859) Epoch: [46][5650/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 2.1848 (2.0419) Prec@1 45.625 (47.372) Prec@5 75.000 (77.860) Epoch: [46][5660/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 2.0147 (2.0418) Prec@1 46.250 (47.377) Prec@5 72.500 (77.861) Epoch: [46][5670/11272] Time 0.868 (0.790) Data 0.001 (0.002) Loss 2.0246 (2.0417) Prec@1 52.500 (47.381) Prec@5 75.000 (77.860) Epoch: [46][5680/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.9254 (2.0418) Prec@1 50.000 (47.380) Prec@5 80.000 (77.860) Epoch: [46][5690/11272] Time 0.759 (0.790) Data 0.002 (0.002) Loss 2.0931 (2.0419) Prec@1 48.750 (47.378) Prec@5 75.000 (77.860) Epoch: [46][5700/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 1.8783 (2.0419) Prec@1 43.125 (47.375) Prec@5 84.375 (77.861) Epoch: [46][5710/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 2.0144 (2.0420) Prec@1 46.250 (47.372) Prec@5 80.000 (77.862) Epoch: [46][5720/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 2.0388 (2.0420) Prec@1 46.875 (47.371) Prec@5 81.250 (77.861) Epoch: [46][5730/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 2.2077 (2.0421) Prec@1 46.875 (47.371) Prec@5 72.500 (77.858) Epoch: [46][5740/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 2.1525 (2.0419) Prec@1 44.375 (47.375) Prec@5 75.625 (77.863) Epoch: [46][5750/11272] Time 0.823 (0.790) Data 0.002 (0.002) Loss 1.9570 (2.0421) Prec@1 50.000 (47.374) Prec@5 75.625 (77.861) Epoch: [46][5760/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 2.0661 (2.0421) Prec@1 45.000 (47.372) Prec@5 80.000 (77.862) Epoch: [46][5770/11272] Time 0.750 (0.790) Data 0.001 (0.002) Loss 1.9626 (2.0420) Prec@1 51.875 (47.375) Prec@5 78.750 (77.863) Epoch: [46][5780/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 2.0702 (2.0420) Prec@1 47.500 (47.377) Prec@5 74.375 (77.864) Epoch: [46][5790/11272] Time 0.886 (0.790) Data 0.001 (0.002) Loss 2.0683 (2.0421) Prec@1 46.250 (47.373) Prec@5 76.875 (77.862) Epoch: [46][5800/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 2.0272 (2.0421) Prec@1 45.625 (47.374) Prec@5 77.500 (77.862) Epoch: [46][5810/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 2.1917 (2.0423) Prec@1 45.000 (47.370) Prec@5 78.125 (77.858) Epoch: [46][5820/11272] Time 0.842 (0.790) Data 0.001 (0.002) Loss 1.9239 (2.0424) Prec@1 46.250 (47.370) Prec@5 80.625 (77.858) Epoch: [46][5830/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.9689 (2.0424) Prec@1 48.125 (47.370) Prec@5 78.750 (77.859) Epoch: [46][5840/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 2.1414 (2.0423) Prec@1 50.000 (47.373) Prec@5 75.625 (77.860) Epoch: [46][5850/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 2.2751 (2.0423) Prec@1 41.875 (47.371) Prec@5 73.750 (77.859) Epoch: [46][5860/11272] Time 0.914 (0.790) Data 0.001 (0.002) Loss 2.0857 (2.0424) Prec@1 51.875 (47.373) Prec@5 73.125 (77.857) Epoch: [46][5870/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.9119 (2.0423) Prec@1 46.875 (47.372) Prec@5 80.625 (77.857) Epoch: [46][5880/11272] Time 0.737 (0.790) Data 0.001 (0.002) Loss 1.9749 (2.0423) Prec@1 50.625 (47.373) Prec@5 79.375 (77.856) Epoch: [46][5890/11272] Time 0.753 (0.790) Data 0.002 (0.002) Loss 2.0360 (2.0424) Prec@1 43.125 (47.370) Prec@5 80.625 (77.856) Epoch: [46][5900/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 2.1147 (2.0424) Prec@1 43.750 (47.372) Prec@5 75.625 (77.855) Epoch: [46][5910/11272] Time 0.815 (0.790) Data 0.001 (0.002) Loss 2.0367 (2.0424) Prec@1 45.000 (47.369) Prec@5 78.125 (77.852) Epoch: [46][5920/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 2.0453 (2.0424) Prec@1 47.500 (47.368) Prec@5 79.375 (77.853) Epoch: [46][5930/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 2.2035 (2.0425) Prec@1 43.125 (47.365) Prec@5 74.375 (77.851) Epoch: [46][5940/11272] Time 0.875 (0.790) Data 0.001 (0.002) Loss 1.9202 (2.0425) Prec@1 48.125 (47.365) Prec@5 81.250 (77.851) Epoch: [46][5950/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 2.0786 (2.0426) Prec@1 41.250 (47.361) Prec@5 81.875 (77.850) Epoch: [46][5960/11272] Time 0.741 (0.790) Data 0.001 (0.002) Loss 2.0575 (2.0425) Prec@1 50.625 (47.367) Prec@5 74.375 (77.851) Epoch: [46][5970/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.9714 (2.0425) Prec@1 52.500 (47.366) Prec@5 75.000 (77.850) Epoch: [46][5980/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 1.9186 (2.0424) Prec@1 54.375 (47.369) Prec@5 80.000 (77.853) Epoch: [46][5990/11272] Time 0.741 (0.790) Data 0.001 (0.002) Loss 2.2682 (2.0424) Prec@1 41.875 (47.369) Prec@5 73.750 (77.854) Epoch: [46][6000/11272] Time 0.760 (0.790) Data 0.001 (0.002) Loss 1.8722 (2.0424) Prec@1 53.750 (47.370) Prec@5 79.375 (77.856) Epoch: [46][6010/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 2.0656 (2.0424) Prec@1 46.875 (47.369) Prec@5 77.500 (77.855) Epoch: [46][6020/11272] Time 0.812 (0.790) Data 0.002 (0.002) Loss 2.2576 (2.0425) Prec@1 44.375 (47.366) Prec@5 75.625 (77.852) Epoch: [46][6030/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 2.1437 (2.0426) Prec@1 48.750 (47.367) Prec@5 75.000 (77.851) Epoch: [46][6040/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.9371 (2.0426) Prec@1 50.000 (47.367) Prec@5 77.500 (77.851) Epoch: [46][6050/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 2.1752 (2.0427) Prec@1 49.375 (47.367) Prec@5 76.250 (77.848) Epoch: [46][6060/11272] Time 0.871 (0.790) Data 0.002 (0.002) Loss 1.8953 (2.0426) Prec@1 51.875 (47.365) Prec@5 79.375 (77.850) Epoch: [46][6070/11272] Time 0.733 (0.790) Data 0.002 (0.002) Loss 2.0263 (2.0427) Prec@1 50.000 (47.362) Prec@5 76.875 (77.849) Epoch: [46][6080/11272] Time 0.852 (0.790) Data 0.001 (0.002) Loss 1.9857 (2.0427) Prec@1 48.750 (47.366) Prec@5 78.750 (77.849) Epoch: [46][6090/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.9767 (2.0427) Prec@1 46.250 (47.367) Prec@5 79.375 (77.849) Epoch: [46][6100/11272] Time 0.789 (0.790) Data 0.002 (0.002) Loss 1.9262 (2.0428) Prec@1 48.750 (47.365) Prec@5 81.875 (77.850) Epoch: [46][6110/11272] Time 0.747 (0.790) Data 0.002 (0.002) Loss 2.0974 (2.0428) Prec@1 45.000 (47.367) Prec@5 76.250 (77.849) Epoch: [46][6120/11272] Time 0.823 (0.790) Data 0.001 (0.002) Loss 2.1432 (2.0429) Prec@1 44.375 (47.366) Prec@5 75.625 (77.848) Epoch: [46][6130/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.7928 (2.0428) Prec@1 51.250 (47.367) Prec@5 83.750 (77.849) Epoch: [46][6140/11272] Time 0.782 (0.790) Data 0.001 (0.002) Loss 1.9711 (2.0428) Prec@1 46.875 (47.366) Prec@5 76.875 (77.848) Epoch: [46][6150/11272] Time 0.747 (0.790) Data 0.002 (0.002) Loss 1.8776 (2.0428) Prec@1 51.250 (47.367) Prec@5 79.375 (77.847) Epoch: [46][6160/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 1.8911 (2.0428) Prec@1 50.000 (47.365) Prec@5 80.625 (77.848) Epoch: [46][6170/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 2.2341 (2.0427) Prec@1 43.125 (47.364) Prec@5 74.375 (77.849) Epoch: [46][6180/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 2.0062 (2.0427) Prec@1 46.250 (47.365) Prec@5 79.375 (77.850) Epoch: [46][6190/11272] Time 0.773 (0.790) Data 0.002 (0.002) Loss 2.1698 (2.0429) Prec@1 47.500 (47.360) Prec@5 78.125 (77.847) Epoch: [46][6200/11272] Time 0.874 (0.790) Data 0.002 (0.002) Loss 1.9982 (2.0430) Prec@1 47.500 (47.358) Prec@5 77.500 (77.846) Epoch: [46][6210/11272] Time 0.754 (0.790) Data 0.004 (0.002) Loss 2.1565 (2.0429) Prec@1 41.875 (47.362) Prec@5 78.750 (77.849) Epoch: [46][6220/11272] Time 0.735 (0.790) Data 0.001 (0.002) Loss 2.1088 (2.0430) Prec@1 41.250 (47.360) Prec@5 79.375 (77.849) Epoch: [46][6230/11272] Time 0.882 (0.790) Data 0.001 (0.002) Loss 2.0181 (2.0430) Prec@1 50.000 (47.364) Prec@5 81.875 (77.848) Epoch: [46][6240/11272] Time 0.863 (0.790) Data 0.002 (0.002) Loss 2.0763 (2.0430) Prec@1 44.375 (47.364) Prec@5 76.875 (77.848) Epoch: [46][6250/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 2.0658 (2.0430) Prec@1 44.375 (47.365) Prec@5 78.750 (77.848) Epoch: [46][6260/11272] Time 0.741 (0.790) Data 0.002 (0.002) Loss 1.9122 (2.0430) Prec@1 45.625 (47.365) Prec@5 80.000 (77.848) Epoch: [46][6270/11272] Time 0.854 (0.790) Data 0.001 (0.002) Loss 1.8067 (2.0431) Prec@1 51.250 (47.363) Prec@5 83.125 (77.848) Epoch: [46][6280/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 2.0788 (2.0432) Prec@1 42.500 (47.361) Prec@5 78.125 (77.847) Epoch: [46][6290/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.7711 (2.0432) Prec@1 50.625 (47.361) Prec@5 81.875 (77.846) Epoch: [46][6300/11272] Time 0.721 (0.790) Data 0.001 (0.002) Loss 1.9803 (2.0432) Prec@1 48.125 (47.360) Prec@5 75.625 (77.845) Epoch: [46][6310/11272] Time 0.855 (0.790) Data 0.001 (0.002) Loss 2.0105 (2.0433) Prec@1 50.000 (47.361) Prec@5 75.000 (77.842) Epoch: [46][6320/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 2.2707 (2.0433) Prec@1 45.625 (47.363) Prec@5 73.125 (77.843) Epoch: [46][6330/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 2.0967 (2.0433) Prec@1 43.125 (47.364) Prec@5 78.750 (77.844) Epoch: [46][6340/11272] Time 0.875 (0.790) Data 0.001 (0.002) Loss 2.1519 (2.0434) Prec@1 46.875 (47.361) Prec@5 78.125 (77.841) Epoch: [46][6350/11272] Time 0.859 (0.790) Data 0.002 (0.002) Loss 2.1096 (2.0434) Prec@1 43.125 (47.359) Prec@5 78.750 (77.842) Epoch: [46][6360/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 2.0091 (2.0434) Prec@1 48.125 (47.360) Prec@5 77.500 (77.842) Epoch: [46][6370/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 2.2389 (2.0434) Prec@1 40.625 (47.357) Prec@5 72.500 (77.843) Epoch: [46][6380/11272] Time 0.917 (0.790) Data 0.002 (0.002) Loss 2.0064 (2.0436) Prec@1 48.125 (47.353) Prec@5 76.250 (77.840) Epoch: [46][6390/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.8270 (2.0435) Prec@1 51.250 (47.355) Prec@5 82.500 (77.843) Epoch: [46][6400/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 2.1520 (2.0436) Prec@1 41.875 (47.353) Prec@5 75.000 (77.841) Epoch: [46][6410/11272] Time 0.781 (0.790) Data 0.002 (0.002) Loss 2.0457 (2.0435) Prec@1 43.750 (47.354) Prec@5 78.125 (77.841) Epoch: [46][6420/11272] Time 0.902 (0.790) Data 0.002 (0.002) Loss 2.0224 (2.0435) Prec@1 45.625 (47.353) Prec@5 79.375 (77.842) Epoch: [46][6430/11272] Time 0.820 (0.790) Data 0.002 (0.002) Loss 2.1605 (2.0436) Prec@1 41.875 (47.353) Prec@5 77.500 (77.841) Epoch: [46][6440/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 2.0679 (2.0435) Prec@1 43.125 (47.354) Prec@5 78.125 (77.845) Epoch: [46][6450/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 2.0022 (2.0435) Prec@1 46.875 (47.354) Prec@5 77.500 (77.843) Epoch: [46][6460/11272] Time 0.859 (0.791) Data 0.001 (0.002) Loss 1.9715 (2.0435) Prec@1 53.125 (47.356) Prec@5 77.500 (77.841) Epoch: [46][6470/11272] Time 0.752 (0.791) Data 0.004 (0.002) Loss 2.0677 (2.0435) Prec@1 42.500 (47.354) Prec@5 78.125 (77.840) Epoch: [46][6480/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 1.9176 (2.0436) Prec@1 49.375 (47.352) Prec@5 81.250 (77.838) Epoch: [46][6490/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 1.9415 (2.0435) Prec@1 48.750 (47.353) Prec@5 79.375 (77.839) Epoch: [46][6500/11272] Time 0.844 (0.791) Data 0.001 (0.002) Loss 2.0226 (2.0436) Prec@1 46.875 (47.354) Prec@5 76.875 (77.837) Epoch: [46][6510/11272] Time 0.720 (0.791) Data 0.001 (0.002) Loss 1.7903 (2.0437) Prec@1 51.875 (47.352) Prec@5 81.875 (77.836) Epoch: [46][6520/11272] Time 0.723 (0.791) Data 0.001 (0.002) Loss 2.3255 (2.0438) Prec@1 43.750 (47.350) Prec@5 74.375 (77.834) Epoch: [46][6530/11272] Time 0.859 (0.791) Data 0.001 (0.002) Loss 1.9751 (2.0438) Prec@1 47.500 (47.349) Prec@5 75.625 (77.835) Epoch: [46][6540/11272] Time 0.915 (0.791) Data 0.002 (0.002) Loss 2.2459 (2.0438) Prec@1 41.875 (47.348) Prec@5 71.250 (77.833) Epoch: [46][6550/11272] Time 0.737 (0.791) Data 0.002 (0.002) Loss 1.9921 (2.0438) Prec@1 51.875 (47.347) Prec@5 81.250 (77.834) Epoch: [46][6560/11272] Time 0.717 (0.791) Data 0.001 (0.002) Loss 2.1306 (2.0438) Prec@1 45.625 (47.347) Prec@5 78.750 (77.836) Epoch: [46][6570/11272] Time 0.858 (0.791) Data 0.002 (0.002) Loss 2.0338 (2.0440) Prec@1 49.375 (47.343) Prec@5 76.250 (77.831) Epoch: [46][6580/11272] Time 0.872 (0.791) Data 0.002 (0.002) Loss 1.9059 (2.0440) Prec@1 45.625 (47.342) Prec@5 83.750 (77.830) Epoch: [46][6590/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 1.9674 (2.0440) Prec@1 51.250 (47.341) Prec@5 77.500 (77.830) Epoch: [46][6600/11272] Time 0.880 (0.791) Data 0.001 (0.002) Loss 2.2659 (2.0441) Prec@1 43.750 (47.338) Prec@5 73.125 (77.828) Epoch: [46][6610/11272] Time 0.854 (0.791) Data 0.002 (0.002) Loss 2.2252 (2.0442) Prec@1 43.750 (47.336) Prec@5 71.875 (77.824) Epoch: [46][6620/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 1.7813 (2.0443) Prec@1 52.500 (47.333) Prec@5 80.625 (77.822) Epoch: [46][6630/11272] Time 0.732 (0.791) Data 0.002 (0.002) Loss 2.1170 (2.0444) Prec@1 46.875 (47.332) Prec@5 77.500 (77.821) Epoch: [46][6640/11272] Time 0.861 (0.791) Data 0.001 (0.002) Loss 1.9919 (2.0444) Prec@1 52.500 (47.333) Prec@5 81.250 (77.823) Epoch: [46][6650/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 2.0406 (2.0444) Prec@1 47.500 (47.333) Prec@5 76.875 (77.824) Epoch: [46][6660/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 2.0573 (2.0444) Prec@1 48.125 (47.332) Prec@5 76.875 (77.822) Epoch: [46][6670/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 1.8946 (2.0443) Prec@1 49.375 (47.333) Prec@5 85.625 (77.825) Epoch: [46][6680/11272] Time 0.806 (0.791) Data 0.001 (0.002) Loss 2.2053 (2.0444) Prec@1 44.375 (47.334) Prec@5 75.625 (77.824) Epoch: [46][6690/11272] Time 0.823 (0.791) Data 0.002 (0.002) Loss 2.1941 (2.0446) Prec@1 44.375 (47.331) Prec@5 75.000 (77.821) Epoch: [46][6700/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 1.9002 (2.0446) Prec@1 51.875 (47.329) Prec@5 81.250 (77.820) Epoch: [46][6710/11272] Time 0.748 (0.791) Data 0.001 (0.002) Loss 2.0985 (2.0446) Prec@1 42.500 (47.329) Prec@5 79.375 (77.819) Epoch: [46][6720/11272] Time 0.835 (0.791) Data 0.001 (0.002) Loss 1.9625 (2.0446) Prec@1 50.000 (47.329) Prec@5 80.000 (77.818) Epoch: [46][6730/11272] Time 0.832 (0.791) Data 0.002 (0.002) Loss 2.2562 (2.0447) Prec@1 43.125 (47.328) Prec@5 75.000 (77.817) Epoch: [46][6740/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.1154 (2.0446) Prec@1 41.250 (47.331) Prec@5 76.875 (77.818) Epoch: [46][6750/11272] Time 0.877 (0.791) Data 0.002 (0.002) Loss 2.0321 (2.0448) Prec@1 48.125 (47.326) Prec@5 76.250 (77.815) Epoch: [46][6760/11272] Time 0.845 (0.791) Data 0.002 (0.002) Loss 2.4714 (2.0448) Prec@1 38.750 (47.327) Prec@5 68.125 (77.814) Epoch: [46][6770/11272] Time 0.760 (0.791) Data 0.002 (0.002) Loss 1.9295 (2.0449) Prec@1 51.250 (47.326) Prec@5 79.375 (77.813) Epoch: [46][6780/11272] Time 0.746 (0.791) Data 0.001 (0.002) Loss 2.3135 (2.0450) Prec@1 44.375 (47.324) Prec@5 74.375 (77.812) Epoch: [46][6790/11272] Time 0.832 (0.791) Data 0.001 (0.002) Loss 2.2884 (2.0449) Prec@1 42.500 (47.324) Prec@5 69.375 (77.812) Epoch: [46][6800/11272] Time 0.847 (0.791) Data 0.001 (0.002) Loss 2.1224 (2.0450) Prec@1 43.750 (47.322) Prec@5 76.875 (77.809) Epoch: [46][6810/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.2066 (2.0450) Prec@1 43.125 (47.322) Prec@5 78.125 (77.810) Epoch: [46][6820/11272] Time 0.740 (0.791) Data 0.002 (0.002) Loss 2.0463 (2.0450) Prec@1 46.250 (47.322) Prec@5 76.875 (77.809) Epoch: [46][6830/11272] Time 0.826 (0.791) Data 0.002 (0.002) Loss 2.2389 (2.0452) Prec@1 40.625 (47.318) Prec@5 71.875 (77.805) Epoch: [46][6840/11272] Time 0.849 (0.791) Data 0.002 (0.002) Loss 2.0465 (2.0454) Prec@1 51.250 (47.315) Prec@5 76.875 (77.803) Epoch: [46][6850/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 1.9523 (2.0453) Prec@1 46.875 (47.315) Prec@5 79.375 (77.804) Epoch: [46][6860/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 1.9592 (2.0455) Prec@1 51.875 (47.314) Prec@5 81.875 (77.800) Epoch: [46][6870/11272] Time 0.864 (0.791) Data 0.001 (0.002) Loss 1.8297 (2.0455) Prec@1 52.500 (47.314) Prec@5 81.250 (77.801) Epoch: [46][6880/11272] Time 0.739 (0.791) Data 0.001 (0.002) Loss 1.8740 (2.0455) Prec@1 52.500 (47.314) Prec@5 80.000 (77.798) Epoch: [46][6890/11272] Time 0.733 (0.791) Data 0.002 (0.002) Loss 2.0345 (2.0454) Prec@1 42.500 (47.314) Prec@5 75.625 (77.800) Epoch: [46][6900/11272] Time 0.873 (0.791) Data 0.002 (0.002) Loss 2.1461 (2.0454) Prec@1 46.875 (47.313) Prec@5 75.625 (77.799) Epoch: [46][6910/11272] Time 0.831 (0.791) Data 0.002 (0.002) Loss 1.9947 (2.0455) Prec@1 48.750 (47.312) Prec@5 78.125 (77.797) Epoch: [46][6920/11272] Time 0.739 (0.791) Data 0.002 (0.002) Loss 2.1353 (2.0455) Prec@1 48.125 (47.313) Prec@5 75.625 (77.796) Epoch: [46][6930/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 2.4195 (2.0456) Prec@1 41.875 (47.310) Prec@5 68.125 (77.796) Epoch: [46][6940/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 1.9093 (2.0456) Prec@1 48.750 (47.310) Prec@5 79.375 (77.797) Epoch: [46][6950/11272] Time 0.821 (0.791) Data 0.002 (0.002) Loss 1.8652 (2.0456) Prec@1 51.875 (47.310) Prec@5 79.375 (77.796) Epoch: [46][6960/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 2.3684 (2.0455) Prec@1 47.500 (47.309) Prec@5 74.375 (77.796) Epoch: [46][6970/11272] Time 0.742 (0.791) Data 0.001 (0.002) Loss 2.2933 (2.0456) Prec@1 42.500 (47.308) Prec@5 70.000 (77.794) Epoch: [46][6980/11272] Time 0.835 (0.791) Data 0.002 (0.002) Loss 1.9440 (2.0457) Prec@1 46.250 (47.309) Prec@5 81.250 (77.793) Epoch: [46][6990/11272] Time 0.883 (0.791) Data 0.002 (0.002) Loss 2.0162 (2.0455) Prec@1 47.500 (47.313) Prec@5 80.625 (77.795) Epoch: [46][7000/11272] Time 0.739 (0.791) Data 0.002 (0.002) Loss 2.0764 (2.0455) Prec@1 48.750 (47.314) Prec@5 75.000 (77.795) Epoch: [46][7010/11272] Time 0.884 (0.791) Data 0.001 (0.002) Loss 1.7305 (2.0456) Prec@1 57.500 (47.313) Prec@5 85.000 (77.794) Epoch: [46][7020/11272] Time 0.986 (0.791) Data 0.002 (0.002) Loss 2.0809 (2.0456) Prec@1 45.000 (47.313) Prec@5 78.125 (77.794) Epoch: [46][7030/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.0182 (2.0455) Prec@1 45.625 (47.312) Prec@5 81.250 (77.796) Epoch: [46][7040/11272] Time 0.748 (0.791) Data 0.001 (0.002) Loss 1.9400 (2.0454) Prec@1 49.375 (47.314) Prec@5 78.125 (77.797) Epoch: [46][7050/11272] Time 0.883 (0.791) Data 0.002 (0.002) Loss 2.1638 (2.0455) Prec@1 49.375 (47.314) Prec@5 78.125 (77.796) Epoch: [46][7060/11272] Time 0.860 (0.791) Data 0.001 (0.002) Loss 2.0651 (2.0455) Prec@1 41.875 (47.313) Prec@5 76.875 (77.795) Epoch: [46][7070/11272] Time 0.730 (0.791) Data 0.001 (0.002) Loss 1.6408 (2.0455) Prec@1 53.750 (47.313) Prec@5 84.375 (77.794) Epoch: [46][7080/11272] Time 0.744 (0.791) Data 0.002 (0.002) Loss 2.3078 (2.0456) Prec@1 43.750 (47.312) Prec@5 70.000 (77.792) Epoch: [46][7090/11272] Time 0.829 (0.791) Data 0.001 (0.002) Loss 2.0556 (2.0456) Prec@1 45.625 (47.313) Prec@5 75.625 (77.793) Epoch: [46][7100/11272] Time 0.864 (0.791) Data 0.001 (0.002) Loss 1.8946 (2.0455) Prec@1 52.500 (47.315) Prec@5 75.000 (77.794) Epoch: [46][7110/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 2.1350 (2.0456) Prec@1 41.875 (47.311) Prec@5 76.875 (77.792) Epoch: [46][7120/11272] Time 0.709 (0.791) Data 0.002 (0.002) Loss 2.0001 (2.0456) Prec@1 42.500 (47.310) Prec@5 80.000 (77.792) Epoch: [46][7130/11272] Time 0.836 (0.791) Data 0.001 (0.002) Loss 2.1767 (2.0456) Prec@1 39.375 (47.309) Prec@5 77.500 (77.792) Epoch: [46][7140/11272] Time 0.723 (0.791) Data 0.004 (0.002) Loss 2.0718 (2.0456) Prec@1 40.625 (47.309) Prec@5 78.750 (77.793) Epoch: [46][7150/11272] Time 0.793 (0.791) Data 0.002 (0.002) Loss 1.8933 (2.0455) Prec@1 53.750 (47.311) Prec@5 81.250 (77.794) Epoch: [46][7160/11272] Time 0.841 (0.791) Data 0.001 (0.002) Loss 2.0564 (2.0455) Prec@1 41.875 (47.310) Prec@5 78.750 (77.794) Epoch: [46][7170/11272] Time 0.804 (0.791) Data 0.002 (0.002) Loss 1.9420 (2.0455) Prec@1 50.625 (47.310) Prec@5 80.000 (77.796) Epoch: [46][7180/11272] Time 0.745 (0.791) Data 0.002 (0.002) Loss 1.9889 (2.0455) Prec@1 49.375 (47.312) Prec@5 77.500 (77.796) Epoch: [46][7190/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.0281 (2.0455) Prec@1 45.625 (47.312) Prec@5 81.250 (77.797) Epoch: [46][7200/11272] Time 0.887 (0.791) Data 0.002 (0.002) Loss 1.9911 (2.0455) Prec@1 46.875 (47.311) Prec@5 79.375 (77.798) Epoch: [46][7210/11272] Time 0.836 (0.791) Data 0.001 (0.002) Loss 2.2243 (2.0454) Prec@1 46.250 (47.313) Prec@5 73.750 (77.799) Epoch: [46][7220/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 2.1779 (2.0456) Prec@1 45.000 (47.312) Prec@5 72.500 (77.797) Epoch: [46][7230/11272] Time 0.749 (0.791) Data 0.002 (0.002) Loss 1.8322 (2.0455) Prec@1 48.750 (47.311) Prec@5 81.250 (77.798) Epoch: [46][7240/11272] Time 0.812 (0.791) Data 0.002 (0.002) Loss 2.0784 (2.0456) Prec@1 48.125 (47.309) Prec@5 76.250 (77.799) Epoch: [46][7250/11272] Time 0.864 (0.791) Data 0.002 (0.002) Loss 1.9912 (2.0456) Prec@1 50.000 (47.310) Prec@5 74.375 (77.797) Epoch: [46][7260/11272] Time 0.730 (0.791) Data 0.002 (0.002) Loss 2.0046 (2.0456) Prec@1 51.250 (47.310) Prec@5 79.375 (77.796) Epoch: [46][7270/11272] Time 0.875 (0.791) Data 0.001 (0.002) Loss 2.0668 (2.0456) Prec@1 50.625 (47.309) Prec@5 76.250 (77.796) Epoch: [46][7280/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 2.0076 (2.0455) Prec@1 50.625 (47.309) Prec@5 75.000 (77.798) Epoch: [46][7290/11272] Time 0.711 (0.791) Data 0.001 (0.002) Loss 2.1373 (2.0455) Prec@1 46.875 (47.310) Prec@5 78.750 (77.798) Epoch: [46][7300/11272] Time 0.768 (0.791) Data 0.002 (0.002) Loss 2.0480 (2.0455) Prec@1 48.125 (47.312) Prec@5 78.125 (77.799) Epoch: [46][7310/11272] Time 0.841 (0.791) Data 0.001 (0.002) Loss 1.9398 (2.0455) Prec@1 54.375 (47.311) Prec@5 75.000 (77.798) Epoch: [46][7320/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 2.0540 (2.0455) Prec@1 45.625 (47.308) Prec@5 78.750 (77.798) Epoch: [46][7330/11272] Time 0.721 (0.791) Data 0.002 (0.002) Loss 2.0252 (2.0456) Prec@1 47.500 (47.308) Prec@5 81.875 (77.799) Epoch: [46][7340/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 2.1352 (2.0455) Prec@1 46.250 (47.309) Prec@5 71.875 (77.799) Epoch: [46][7350/11272] Time 0.818 (0.791) Data 0.002 (0.002) Loss 2.0150 (2.0454) Prec@1 55.625 (47.312) Prec@5 76.250 (77.801) Epoch: [46][7360/11272] Time 0.860 (0.791) Data 0.001 (0.002) Loss 1.9802 (2.0454) Prec@1 43.125 (47.311) Prec@5 78.750 (77.802) Epoch: [46][7370/11272] Time 0.728 (0.791) Data 0.002 (0.002) Loss 1.9486 (2.0455) Prec@1 51.875 (47.310) Prec@5 74.375 (77.801) Epoch: [46][7380/11272] Time 0.730 (0.791) Data 0.001 (0.002) Loss 2.2044 (2.0456) Prec@1 43.750 (47.309) Prec@5 74.375 (77.800) Epoch: [46][7390/11272] Time 0.854 (0.791) Data 0.002 (0.002) Loss 2.4144 (2.0458) Prec@1 43.125 (47.308) Prec@5 71.875 (77.798) Epoch: [46][7400/11272] Time 0.722 (0.791) Data 0.002 (0.002) Loss 2.1741 (2.0458) Prec@1 46.250 (47.307) Prec@5 73.125 (77.797) Epoch: [46][7410/11272] Time 0.751 (0.791) Data 0.002 (0.002) Loss 2.1163 (2.0458) Prec@1 46.875 (47.308) Prec@5 75.625 (77.798) Epoch: [46][7420/11272] Time 0.865 (0.791) Data 0.001 (0.002) Loss 1.7875 (2.0458) Prec@1 52.500 (47.309) Prec@5 84.375 (77.798) Epoch: [46][7430/11272] Time 0.831 (0.791) Data 0.001 (0.002) Loss 2.1449 (2.0459) Prec@1 53.750 (47.311) Prec@5 77.500 (77.798) Epoch: [46][7440/11272] Time 0.749 (0.791) Data 0.001 (0.002) Loss 1.5777 (2.0458) Prec@1 54.375 (47.311) Prec@5 84.375 (77.798) Epoch: [46][7450/11272] Time 0.728 (0.791) Data 0.001 (0.002) Loss 2.1036 (2.0458) Prec@1 47.500 (47.311) Prec@5 76.875 (77.800) Epoch: [46][7460/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 1.8740 (2.0459) Prec@1 53.750 (47.310) Prec@5 80.000 (77.800) Epoch: [46][7470/11272] Time 0.827 (0.791) Data 0.001 (0.002) Loss 2.1609 (2.0459) Prec@1 46.875 (47.311) Prec@5 73.750 (77.799) Epoch: [46][7480/11272] Time 0.734 (0.791) Data 0.002 (0.002) Loss 2.2574 (2.0460) Prec@1 45.000 (47.309) Prec@5 73.750 (77.798) Epoch: [46][7490/11272] Time 0.718 (0.791) Data 0.001 (0.002) Loss 2.1015 (2.0461) Prec@1 44.375 (47.310) Prec@5 78.750 (77.797) Epoch: [46][7500/11272] Time 0.839 (0.791) Data 0.001 (0.002) Loss 1.9016 (2.0460) Prec@1 51.250 (47.313) Prec@5 79.375 (77.799) Epoch: [46][7510/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 2.0665 (2.0459) Prec@1 45.000 (47.313) Prec@5 78.750 (77.801) Epoch: [46][7520/11272] Time 0.716 (0.791) Data 0.001 (0.002) Loss 1.9786 (2.0460) Prec@1 49.375 (47.311) Prec@5 79.375 (77.800) Epoch: [46][7530/11272] Time 0.878 (0.791) Data 0.001 (0.002) Loss 2.4543 (2.0461) Prec@1 42.500 (47.312) Prec@5 68.125 (77.798) Epoch: [46][7540/11272] Time 0.842 (0.791) Data 0.001 (0.002) Loss 1.9862 (2.0459) Prec@1 43.125 (47.315) Prec@5 81.875 (77.801) Epoch: [46][7550/11272] Time 0.747 (0.791) Data 0.001 (0.002) Loss 2.2245 (2.0460) Prec@1 40.000 (47.313) Prec@5 78.125 (77.800) Epoch: [46][7560/11272] Time 0.713 (0.791) Data 0.002 (0.002) Loss 1.8406 (2.0460) Prec@1 54.375 (47.314) Prec@5 81.250 (77.799) Epoch: [46][7570/11272] Time 0.919 (0.791) Data 0.002 (0.002) Loss 2.0562 (2.0462) Prec@1 45.000 (47.311) Prec@5 79.375 (77.797) Epoch: [46][7580/11272] Time 0.833 (0.791) Data 0.001 (0.002) Loss 2.1482 (2.0461) Prec@1 41.875 (47.313) Prec@5 79.375 (77.801) Epoch: [46][7590/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 2.0323 (2.0460) Prec@1 48.125 (47.316) Prec@5 78.750 (77.803) Epoch: [46][7600/11272] Time 0.724 (0.791) Data 0.001 (0.002) Loss 1.9460 (2.0459) Prec@1 51.875 (47.317) Prec@5 82.500 (77.805) Epoch: [46][7610/11272] Time 0.863 (0.791) Data 0.001 (0.002) Loss 2.2772 (2.0460) Prec@1 44.375 (47.314) Prec@5 70.000 (77.803) Epoch: [46][7620/11272] Time 0.880 (0.791) Data 0.002 (0.002) Loss 1.9355 (2.0459) Prec@1 50.625 (47.315) Prec@5 80.625 (77.803) Epoch: [46][7630/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 1.8851 (2.0459) Prec@1 51.250 (47.317) Prec@5 81.875 (77.803) Epoch: [46][7640/11272] Time 0.724 (0.791) Data 0.002 (0.002) Loss 2.1130 (2.0460) Prec@1 48.125 (47.317) Prec@5 75.000 (77.802) Epoch: [46][7650/11272] Time 0.856 (0.791) Data 0.002 (0.002) Loss 1.8299 (2.0459) Prec@1 48.750 (47.319) Prec@5 86.250 (77.803) Epoch: [46][7660/11272] Time 0.830 (0.791) Data 0.001 (0.002) Loss 2.2391 (2.0459) Prec@1 43.125 (47.320) Prec@5 78.125 (77.804) Epoch: [46][7670/11272] Time 0.718 (0.791) Data 0.001 (0.002) Loss 2.0036 (2.0458) Prec@1 45.625 (47.322) Prec@5 77.500 (77.805) Epoch: [46][7680/11272] Time 0.858 (0.791) Data 0.001 (0.002) Loss 1.9181 (2.0459) Prec@1 50.000 (47.322) Prec@5 78.125 (77.803) Epoch: [46][7690/11272] Time 0.834 (0.791) Data 0.001 (0.002) Loss 2.1117 (2.0460) Prec@1 48.125 (47.321) Prec@5 79.375 (77.801) Epoch: [46][7700/11272] Time 0.728 (0.791) Data 0.001 (0.002) Loss 1.8916 (2.0459) Prec@1 45.625 (47.323) Prec@5 80.000 (77.802) Epoch: [46][7710/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 2.1295 (2.0459) Prec@1 41.875 (47.321) Prec@5 75.625 (77.802) Epoch: [46][7720/11272] Time 0.834 (0.791) Data 0.002 (0.002) Loss 2.3483 (2.0460) Prec@1 45.000 (47.319) Prec@5 70.000 (77.800) Epoch: [46][7730/11272] Time 0.822 (0.791) Data 0.001 (0.002) Loss 1.9220 (2.0460) Prec@1 51.250 (47.320) Prec@5 78.125 (77.800) Epoch: [46][7740/11272] Time 0.747 (0.791) Data 0.001 (0.002) Loss 2.1154 (2.0460) Prec@1 47.500 (47.321) Prec@5 76.250 (77.801) Epoch: [46][7750/11272] Time 0.739 (0.791) Data 0.001 (0.002) Loss 2.2208 (2.0461) Prec@1 45.000 (47.319) Prec@5 72.500 (77.799) Epoch: [46][7760/11272] Time 0.831 (0.791) Data 0.002 (0.002) Loss 2.1944 (2.0462) Prec@1 41.875 (47.319) Prec@5 76.875 (77.798) Epoch: [46][7770/11272] Time 0.830 (0.791) Data 0.001 (0.002) Loss 2.0200 (2.0462) Prec@1 48.125 (47.319) Prec@5 78.125 (77.798) Epoch: [46][7780/11272] Time 0.718 (0.791) Data 0.001 (0.002) Loss 1.7092 (2.0462) Prec@1 56.875 (47.322) Prec@5 83.125 (77.796) Epoch: [46][7790/11272] Time 0.723 (0.791) Data 0.002 (0.002) Loss 1.8677 (2.0462) Prec@1 51.875 (47.322) Prec@5 82.500 (77.797) Epoch: [46][7800/11272] Time 0.829 (0.791) Data 0.001 (0.002) Loss 1.8181 (2.0461) Prec@1 53.750 (47.323) Prec@5 78.750 (77.797) Epoch: [46][7810/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.1380 (2.0461) Prec@1 47.500 (47.323) Prec@5 74.375 (77.794) Epoch: [46][7820/11272] Time 0.745 (0.791) Data 0.001 (0.002) Loss 2.1099 (2.0462) Prec@1 46.875 (47.323) Prec@5 76.875 (77.794) Epoch: [46][7830/11272] Time 0.859 (0.791) Data 0.001 (0.002) Loss 2.2694 (2.0462) Prec@1 43.125 (47.325) Prec@5 70.625 (77.793) Epoch: [46][7840/11272] Time 0.832 (0.791) Data 0.001 (0.002) Loss 2.0437 (2.0461) Prec@1 50.000 (47.326) Prec@5 79.375 (77.794) Epoch: [46][7850/11272] Time 0.739 (0.791) Data 0.001 (0.002) Loss 2.1511 (2.0461) Prec@1 46.250 (47.327) Prec@5 75.000 (77.794) Epoch: [46][7860/11272] Time 0.709 (0.791) Data 0.002 (0.002) Loss 1.9708 (2.0461) Prec@1 48.750 (47.326) Prec@5 80.625 (77.794) Epoch: [46][7870/11272] Time 0.848 (0.791) Data 0.001 (0.002) Loss 1.9788 (2.0460) Prec@1 53.125 (47.328) Prec@5 79.375 (77.797) Epoch: [46][7880/11272] Time 0.864 (0.791) Data 0.002 (0.002) Loss 2.2471 (2.0461) Prec@1 44.375 (47.326) Prec@5 74.375 (77.795) Epoch: [46][7890/11272] Time 0.715 (0.791) Data 0.002 (0.002) Loss 2.0032 (2.0460) Prec@1 45.000 (47.327) Prec@5 78.125 (77.796) Epoch: [46][7900/11272] Time 0.731 (0.791) Data 0.002 (0.002) Loss 1.7844 (2.0460) Prec@1 52.500 (47.325) Prec@5 85.000 (77.796) Epoch: [46][7910/11272] Time 0.831 (0.791) Data 0.001 (0.002) Loss 1.8907 (2.0461) Prec@1 49.375 (47.324) Prec@5 78.750 (77.795) Epoch: [46][7920/11272] Time 0.797 (0.791) Data 0.001 (0.002) Loss 2.2984 (2.0461) Prec@1 45.000 (47.325) Prec@5 72.500 (77.793) Epoch: [46][7930/11272] Time 0.742 (0.791) Data 0.001 (0.002) Loss 2.2618 (2.0461) Prec@1 45.625 (47.326) Prec@5 74.375 (77.793) Epoch: [46][7940/11272] Time 0.876 (0.791) Data 0.001 (0.002) Loss 2.2013 (2.0462) Prec@1 43.125 (47.323) Prec@5 74.375 (77.792) Epoch: [46][7950/11272] Time 0.841 (0.791) Data 0.001 (0.002) Loss 1.9111 (2.0463) Prec@1 50.625 (47.323) Prec@5 79.375 (77.791) Epoch: [46][7960/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 2.3422 (2.0463) Prec@1 48.125 (47.326) Prec@5 72.500 (77.789) Epoch: [46][7970/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 2.1675 (2.0463) Prec@1 46.875 (47.327) Prec@5 75.625 (77.789) Epoch: [46][7980/11272] Time 0.894 (0.791) Data 0.002 (0.002) Loss 2.0802 (2.0463) Prec@1 47.500 (47.325) Prec@5 78.125 (77.788) Epoch: [46][7990/11272] Time 0.838 (0.791) Data 0.001 (0.002) Loss 2.1391 (2.0463) Prec@1 45.000 (47.326) Prec@5 74.375 (77.788) Epoch: [46][8000/11272] Time 0.754 (0.791) Data 0.001 (0.002) Loss 2.1135 (2.0464) Prec@1 42.500 (47.325) Prec@5 75.000 (77.788) Epoch: [46][8010/11272] Time 0.737 (0.791) Data 0.002 (0.002) Loss 1.8406 (2.0464) Prec@1 52.500 (47.325) Prec@5 82.500 (77.787) Epoch: [46][8020/11272] Time 0.843 (0.791) Data 0.001 (0.002) Loss 2.2145 (2.0465) Prec@1 46.250 (47.324) Prec@5 76.250 (77.787) Epoch: [46][8030/11272] Time 0.851 (0.791) Data 0.002 (0.002) Loss 1.9787 (2.0465) Prec@1 51.250 (47.325) Prec@5 82.500 (77.787) Epoch: [46][8040/11272] Time 0.772 (0.791) Data 0.002 (0.002) Loss 2.2496 (2.0466) Prec@1 46.250 (47.323) Prec@5 71.250 (77.786) Epoch: [46][8050/11272] Time 0.736 (0.791) Data 0.001 (0.002) Loss 1.8418 (2.0465) Prec@1 51.875 (47.325) Prec@5 82.500 (77.789) Epoch: [46][8060/11272] Time 0.890 (0.791) Data 0.002 (0.002) Loss 1.9822 (2.0465) Prec@1 48.750 (47.323) Prec@5 75.625 (77.789) Epoch: [46][8070/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 1.8534 (2.0464) Prec@1 53.125 (47.324) Prec@5 81.875 (77.791) Epoch: [46][8080/11272] Time 0.734 (0.791) Data 0.002 (0.002) Loss 1.9717 (2.0464) Prec@1 43.750 (47.325) Prec@5 80.000 (77.792) Epoch: [46][8090/11272] Time 0.896 (0.791) Data 0.002 (0.002) Loss 2.1016 (2.0464) Prec@1 47.500 (47.325) Prec@5 79.375 (77.793) Epoch: [46][8100/11272] Time 0.808 (0.791) Data 0.001 (0.002) Loss 2.0531 (2.0465) Prec@1 45.625 (47.323) Prec@5 78.750 (77.792) Epoch: [46][8110/11272] Time 0.737 (0.791) Data 0.002 (0.002) Loss 2.0227 (2.0465) Prec@1 48.125 (47.324) Prec@5 77.500 (77.792) Epoch: [46][8120/11272] Time 0.744 (0.791) Data 0.001 (0.002) Loss 2.0795 (2.0464) Prec@1 44.375 (47.326) Prec@5 78.750 (77.794) Epoch: [46][8130/11272] Time 0.857 (0.791) Data 0.002 (0.002) Loss 2.0987 (2.0464) Prec@1 45.625 (47.326) Prec@5 76.875 (77.795) Epoch: [46][8140/11272] Time 0.851 (0.791) Data 0.002 (0.002) Loss 1.9314 (2.0464) Prec@1 51.250 (47.325) Prec@5 83.750 (77.794) Epoch: [46][8150/11272] Time 0.736 (0.791) Data 0.001 (0.002) Loss 1.9394 (2.0465) Prec@1 52.500 (47.325) Prec@5 80.000 (77.794) Epoch: [46][8160/11272] Time 0.770 (0.791) Data 0.002 (0.002) Loss 2.0135 (2.0464) Prec@1 48.750 (47.327) Prec@5 78.125 (77.796) Epoch: [46][8170/11272] Time 0.857 (0.791) Data 0.002 (0.002) Loss 2.1089 (2.0465) Prec@1 48.750 (47.326) Prec@5 77.500 (77.795) Epoch: [46][8180/11272] Time 0.843 (0.791) Data 0.001 (0.002) Loss 2.3752 (2.0465) Prec@1 41.875 (47.327) Prec@5 69.375 (77.795) Epoch: [46][8190/11272] Time 0.720 (0.791) Data 0.001 (0.002) Loss 1.9763 (2.0465) Prec@1 46.875 (47.326) Prec@5 76.875 (77.793) Epoch: [46][8200/11272] Time 0.889 (0.791) Data 0.001 (0.002) Loss 1.9599 (2.0465) Prec@1 48.125 (47.326) Prec@5 80.000 (77.794) Epoch: [46][8210/11272] Time 0.822 (0.791) Data 0.002 (0.002) Loss 2.2327 (2.0466) Prec@1 42.500 (47.324) Prec@5 75.000 (77.792) Epoch: [46][8220/11272] Time 0.736 (0.791) Data 0.001 (0.002) Loss 2.1293 (2.0466) Prec@1 49.375 (47.325) Prec@5 73.125 (77.793) Epoch: [46][8230/11272] Time 0.745 (0.791) Data 0.002 (0.002) Loss 1.9019 (2.0466) Prec@1 50.625 (47.323) Prec@5 76.875 (77.792) Epoch: [46][8240/11272] Time 0.831 (0.791) Data 0.001 (0.002) Loss 2.0340 (2.0466) Prec@1 42.500 (47.322) Prec@5 75.625 (77.791) Epoch: [46][8250/11272] Time 0.875 (0.791) Data 0.001 (0.002) Loss 1.8566 (2.0465) Prec@1 50.625 (47.324) Prec@5 80.625 (77.795) Epoch: [46][8260/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 1.9786 (2.0464) Prec@1 46.250 (47.324) Prec@5 78.750 (77.797) Epoch: [46][8270/11272] Time 0.737 (0.791) Data 0.001 (0.002) Loss 2.2469 (2.0465) Prec@1 43.125 (47.322) Prec@5 80.000 (77.797) Epoch: [46][8280/11272] Time 0.857 (0.791) Data 0.001 (0.002) Loss 2.2044 (2.0466) Prec@1 40.625 (47.320) Prec@5 75.625 (77.796) Epoch: [46][8290/11272] Time 0.799 (0.791) Data 0.001 (0.002) Loss 2.3671 (2.0467) Prec@1 41.250 (47.318) Prec@5 75.000 (77.795) Epoch: [46][8300/11272] Time 0.732 (0.791) Data 0.002 (0.002) Loss 2.0025 (2.0467) Prec@1 49.375 (47.318) Prec@5 77.500 (77.795) Epoch: [46][8310/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.1458 (2.0468) Prec@1 49.375 (47.315) Prec@5 74.375 (77.793) Epoch: [46][8320/11272] Time 0.816 (0.791) Data 0.001 (0.002) Loss 1.9661 (2.0467) Prec@1 47.500 (47.315) Prec@5 81.250 (77.795) Epoch: [46][8330/11272] Time 0.729 (0.791) Data 0.003 (0.002) Loss 2.1052 (2.0469) Prec@1 49.375 (47.314) Prec@5 77.500 (77.793) Epoch: [46][8340/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.0339 (2.0470) Prec@1 43.750 (47.312) Prec@5 78.125 (77.791) Epoch: [46][8350/11272] Time 0.865 (0.791) Data 0.002 (0.002) Loss 1.9081 (2.0470) Prec@1 47.500 (47.312) Prec@5 78.125 (77.790) Epoch: [46][8360/11272] Time 0.825 (0.791) Data 0.001 (0.002) Loss 2.2207 (2.0470) Prec@1 43.750 (47.315) Prec@5 76.875 (77.790) Epoch: [46][8370/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 1.7732 (2.0470) Prec@1 53.750 (47.314) Prec@5 84.375 (77.789) Epoch: [46][8380/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 1.8677 (2.0469) Prec@1 54.375 (47.314) Prec@5 85.000 (77.790) Epoch: [46][8390/11272] Time 0.850 (0.791) Data 0.001 (0.002) Loss 1.6497 (2.0470) Prec@1 55.000 (47.312) Prec@5 83.125 (77.788) Epoch: [46][8400/11272] Time 0.846 (0.791) Data 0.001 (0.002) Loss 2.0340 (2.0470) Prec@1 51.875 (47.313) Prec@5 76.250 (77.789) Epoch: [46][8410/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.2502 (2.0472) Prec@1 41.875 (47.311) Prec@5 76.250 (77.786) Epoch: [46][8420/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 1.8331 (2.0471) Prec@1 51.250 (47.309) Prec@5 80.625 (77.786) Epoch: [46][8430/11272] Time 0.852 (0.791) Data 0.001 (0.002) Loss 2.2695 (2.0472) Prec@1 50.000 (47.308) Prec@5 75.000 (77.785) Epoch: [46][8440/11272] Time 0.832 (0.791) Data 0.001 (0.002) Loss 2.1960 (2.0472) Prec@1 45.625 (47.308) Prec@5 74.375 (77.786) Epoch: [46][8450/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 2.0898 (2.0473) Prec@1 41.875 (47.305) Prec@5 75.000 (77.784) Epoch: [46][8460/11272] Time 0.868 (0.791) Data 0.001 (0.002) Loss 1.9027 (2.0472) Prec@1 49.375 (47.305) Prec@5 83.125 (77.783) Epoch: [46][8470/11272] Time 0.853 (0.791) Data 0.001 (0.002) Loss 1.8971 (2.0472) Prec@1 51.875 (47.304) Prec@5 80.625 (77.784) Epoch: [46][8480/11272] Time 0.749 (0.791) Data 0.002 (0.002) Loss 2.2115 (2.0472) Prec@1 43.750 (47.305) Prec@5 73.750 (77.783) Epoch: [46][8490/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 2.1377 (2.0473) Prec@1 43.750 (47.304) Prec@5 73.750 (77.782) Epoch: [46][8500/11272] Time 0.833 (0.791) Data 0.001 (0.002) Loss 2.2447 (2.0473) Prec@1 43.750 (47.304) Prec@5 69.375 (77.781) Epoch: [46][8510/11272] Time 0.823 (0.791) Data 0.002 (0.002) Loss 1.8785 (2.0473) Prec@1 50.000 (47.305) Prec@5 78.125 (77.781) Epoch: [46][8520/11272] Time 0.737 (0.791) Data 0.001 (0.002) Loss 2.2226 (2.0474) Prec@1 46.875 (47.304) Prec@5 72.500 (77.779) Epoch: [46][8530/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 2.0823 (2.0475) Prec@1 44.375 (47.302) Prec@5 75.000 (77.777) Epoch: [46][8540/11272] Time 0.840 (0.791) Data 0.001 (0.002) Loss 2.1757 (2.0474) Prec@1 46.250 (47.304) Prec@5 78.750 (77.777) Epoch: [46][8550/11272] Time 0.850 (0.791) Data 0.002 (0.002) Loss 2.1018 (2.0474) Prec@1 48.750 (47.304) Prec@5 75.000 (77.777) Epoch: [46][8560/11272] Time 0.739 (0.791) Data 0.001 (0.002) Loss 2.0900 (2.0475) Prec@1 46.250 (47.304) Prec@5 78.125 (77.776) Epoch: [46][8570/11272] Time 0.728 (0.791) Data 0.001 (0.002) Loss 2.0995 (2.0475) Prec@1 46.250 (47.303) Prec@5 76.250 (77.775) Epoch: [46][8580/11272] Time 0.886 (0.791) Data 0.001 (0.002) Loss 1.9510 (2.0476) Prec@1 53.750 (47.301) Prec@5 79.375 (77.773) Epoch: [46][8590/11272] Time 0.846 (0.791) Data 0.002 (0.002) Loss 1.8840 (2.0475) Prec@1 48.125 (47.302) Prec@5 81.875 (77.773) Epoch: [46][8600/11272] Time 0.723 (0.791) Data 0.001 (0.002) Loss 2.0022 (2.0476) Prec@1 42.500 (47.301) Prec@5 81.875 (77.772) Epoch: [46][8610/11272] Time 0.838 (0.791) Data 0.001 (0.002) Loss 2.1519 (2.0476) Prec@1 48.125 (47.301) Prec@5 75.000 (77.772) Epoch: [46][8620/11272] Time 0.833 (0.791) Data 0.001 (0.002) Loss 2.1203 (2.0476) Prec@1 45.625 (47.300) Prec@5 76.250 (77.773) Epoch: [46][8630/11272] Time 0.752 (0.791) Data 0.001 (0.002) Loss 1.8948 (2.0476) Prec@1 53.750 (47.300) Prec@5 81.250 (77.774) Epoch: [46][8640/11272] Time 0.738 (0.791) Data 0.001 (0.002) Loss 2.2506 (2.0476) Prec@1 40.000 (47.298) Prec@5 73.125 (77.774) Epoch: [46][8650/11272] Time 0.846 (0.791) Data 0.002 (0.002) Loss 2.0008 (2.0476) Prec@1 48.750 (47.299) Prec@5 79.375 (77.776) Epoch: [46][8660/11272] Time 0.864 (0.791) Data 0.002 (0.002) Loss 1.8704 (2.0476) Prec@1 47.500 (47.299) Prec@5 81.875 (77.776) Epoch: [46][8670/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 2.0580 (2.0475) Prec@1 46.250 (47.299) Prec@5 76.250 (77.777) Epoch: [46][8680/11272] Time 0.716 (0.791) Data 0.002 (0.002) Loss 2.2016 (2.0475) Prec@1 48.750 (47.298) Prec@5 76.875 (77.777) Epoch: [46][8690/11272] Time 0.813 (0.791) Data 0.002 (0.002) Loss 1.9390 (2.0475) Prec@1 46.250 (47.299) Prec@5 79.375 (77.778) Epoch: [46][8700/11272] Time 0.815 (0.791) Data 0.002 (0.002) Loss 2.1018 (2.0474) Prec@1 45.625 (47.300) Prec@5 77.500 (77.780) Epoch: [46][8710/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.0948 (2.0474) Prec@1 47.500 (47.298) Prec@5 76.875 (77.781) Epoch: [46][8720/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 1.9775 (2.0473) Prec@1 46.875 (47.300) Prec@5 78.750 (77.782) Epoch: [46][8730/11272] Time 0.829 (0.791) Data 0.001 (0.002) Loss 1.9728 (2.0474) Prec@1 48.125 (47.299) Prec@5 80.000 (77.781) Epoch: [46][8740/11272] Time 0.767 (0.791) Data 0.001 (0.002) Loss 1.7288 (2.0474) Prec@1 54.375 (47.298) Prec@5 83.750 (77.781) Epoch: [46][8750/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.1041 (2.0473) Prec@1 50.000 (47.299) Prec@5 75.625 (77.781) Epoch: [46][8760/11272] Time 0.837 (0.791) Data 0.001 (0.002) Loss 2.1452 (2.0474) Prec@1 51.250 (47.296) Prec@5 78.750 (77.780) Epoch: [46][8770/11272] Time 0.877 (0.791) Data 0.002 (0.002) Loss 2.0863 (2.0475) Prec@1 46.875 (47.294) Prec@5 78.125 (77.779) Epoch: [46][8780/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 2.1790 (2.0475) Prec@1 45.625 (47.294) Prec@5 80.625 (77.779) Epoch: [46][8790/11272] Time 0.741 (0.791) Data 0.002 (0.002) Loss 1.7929 (2.0476) Prec@1 51.250 (47.292) Prec@5 84.375 (77.776) Epoch: [46][8800/11272] Time 0.859 (0.791) Data 0.002 (0.002) Loss 2.1475 (2.0478) Prec@1 48.125 (47.289) Prec@5 75.000 (77.773) Epoch: [46][8810/11272] Time 0.825 (0.791) Data 0.002 (0.002) Loss 2.1670 (2.0479) Prec@1 50.000 (47.289) Prec@5 76.875 (77.772) Epoch: [46][8820/11272] Time 0.728 (0.791) Data 0.002 (0.002) Loss 1.9233 (2.0479) Prec@1 48.750 (47.287) Prec@5 78.750 (77.770) Epoch: [46][8830/11272] Time 0.739 (0.791) Data 0.002 (0.002) Loss 2.0156 (2.0479) Prec@1 48.125 (47.288) Prec@5 80.000 (77.771) Epoch: [46][8840/11272] Time 0.845 (0.791) Data 0.002 (0.002) Loss 2.2726 (2.0479) Prec@1 38.750 (47.289) Prec@5 74.375 (77.771) Epoch: [46][8850/11272] Time 0.809 (0.791) Data 0.001 (0.002) Loss 1.7366 (2.0478) Prec@1 55.625 (47.289) Prec@5 85.625 (77.772) Epoch: [46][8860/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 2.0702 (2.0479) Prec@1 53.125 (47.290) Prec@5 76.875 (77.773) Epoch: [46][8870/11272] Time 0.839 (0.791) Data 0.001 (0.002) Loss 2.1510 (2.0479) Prec@1 43.125 (47.289) Prec@5 75.625 (77.773) Epoch: [46][8880/11272] Time 0.857 (0.791) Data 0.001 (0.002) Loss 2.2851 (2.0480) Prec@1 45.000 (47.287) Prec@5 75.625 (77.771) Epoch: [46][8890/11272] Time 0.730 (0.791) Data 0.002 (0.002) Loss 2.2814 (2.0480) Prec@1 41.875 (47.287) Prec@5 72.500 (77.773) Epoch: [46][8900/11272] Time 0.736 (0.791) Data 0.001 (0.002) Loss 1.9810 (2.0481) Prec@1 43.750 (47.284) Prec@5 81.875 (77.772) Epoch: [46][8910/11272] Time 0.900 (0.791) Data 0.001 (0.002) Loss 2.0633 (2.0481) Prec@1 49.375 (47.284) Prec@5 78.125 (77.772) Epoch: [46][8920/11272] Time 0.839 (0.791) Data 0.002 (0.002) Loss 1.9475 (2.0480) Prec@1 47.500 (47.285) Prec@5 76.250 (77.772) Epoch: [46][8930/11272] Time 0.757 (0.791) Data 0.002 (0.002) Loss 2.0315 (2.0481) Prec@1 48.125 (47.283) Prec@5 76.250 (77.771) Epoch: [46][8940/11272] Time 0.740 (0.791) Data 0.002 (0.002) Loss 2.2465 (2.0482) Prec@1 45.000 (47.282) Prec@5 76.250 (77.769) Epoch: [46][8950/11272] Time 0.844 (0.791) Data 0.001 (0.002) Loss 2.1111 (2.0482) Prec@1 45.625 (47.282) Prec@5 76.875 (77.769) Epoch: [46][8960/11272] Time 0.814 (0.791) Data 0.001 (0.002) Loss 1.9217 (2.0482) Prec@1 51.875 (47.279) Prec@5 80.000 (77.768) Epoch: [46][8970/11272] Time 0.744 (0.791) Data 0.002 (0.002) Loss 2.3097 (2.0482) Prec@1 43.750 (47.278) Prec@5 73.125 (77.768) Epoch: [46][8980/11272] Time 0.724 (0.791) Data 0.001 (0.002) Loss 2.0088 (2.0482) Prec@1 44.375 (47.278) Prec@5 78.125 (77.768) Epoch: [46][8990/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 2.1876 (2.0482) Prec@1 45.000 (47.277) Prec@5 72.500 (77.768) Epoch: [46][9000/11272] Time 0.754 (0.791) Data 0.003 (0.002) Loss 2.0764 (2.0483) Prec@1 48.125 (47.275) Prec@5 76.250 (77.767) Epoch: [46][9010/11272] Time 0.746 (0.791) Data 0.001 (0.002) Loss 1.7760 (2.0484) Prec@1 53.750 (47.275) Prec@5 83.750 (77.766) Epoch: [46][9020/11272] Time 0.831 (0.791) Data 0.001 (0.002) Loss 2.1485 (2.0484) Prec@1 45.625 (47.274) Prec@5 75.625 (77.766) Epoch: [46][9030/11272] Time 0.853 (0.791) Data 0.003 (0.002) Loss 2.1996 (2.0485) Prec@1 44.375 (47.273) Prec@5 74.375 (77.765) Epoch: [46][9040/11272] Time 0.747 (0.791) Data 0.002 (0.002) Loss 2.0069 (2.0485) Prec@1 46.875 (47.274) Prec@5 76.250 (77.765) Epoch: [46][9050/11272] Time 0.727 (0.791) Data 0.002 (0.002) Loss 2.1250 (2.0485) Prec@1 45.000 (47.273) Prec@5 76.250 (77.764) Epoch: [46][9060/11272] Time 0.871 (0.791) Data 0.002 (0.002) Loss 2.0781 (2.0485) Prec@1 46.875 (47.274) Prec@5 74.375 (77.765) Epoch: [46][9070/11272] Time 0.875 (0.791) Data 0.002 (0.002) Loss 2.1753 (2.0485) Prec@1 43.750 (47.274) Prec@5 78.750 (77.764) Epoch: [46][9080/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.3615 (2.0485) Prec@1 35.000 (47.271) Prec@5 75.625 (77.763) Epoch: [46][9090/11272] Time 0.724 (0.791) Data 0.001 (0.002) Loss 2.1057 (2.0486) Prec@1 47.500 (47.270) Prec@5 72.500 (77.761) Epoch: [46][9100/11272] Time 0.829 (0.791) Data 0.001 (0.002) Loss 2.1381 (2.0486) Prec@1 41.250 (47.269) Prec@5 78.750 (77.760) Epoch: [46][9110/11272] Time 0.832 (0.791) Data 0.001 (0.002) Loss 1.8981 (2.0484) Prec@1 52.500 (47.272) Prec@5 80.000 (77.763) Epoch: [46][9120/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.0604 (2.0484) Prec@1 46.875 (47.273) Prec@5 76.875 (77.761) Epoch: [46][9130/11272] Time 0.890 (0.791) Data 0.001 (0.002) Loss 2.0435 (2.0485) Prec@1 47.500 (47.272) Prec@5 78.750 (77.760) Epoch: [46][9140/11272] Time 0.876 (0.791) Data 0.001 (0.002) Loss 1.9611 (2.0486) Prec@1 45.625 (47.270) Prec@5 76.875 (77.759) Epoch: [46][9150/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 1.9584 (2.0486) Prec@1 49.375 (47.268) Prec@5 80.000 (77.759) Epoch: [46][9160/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.2832 (2.0487) Prec@1 45.000 (47.268) Prec@5 74.375 (77.759) Epoch: [46][9170/11272] Time 0.854 (0.791) Data 0.001 (0.002) Loss 1.9477 (2.0486) Prec@1 50.000 (47.271) Prec@5 75.000 (77.761) Epoch: [46][9180/11272] Time 0.834 (0.791) Data 0.001 (0.002) Loss 1.8533 (2.0486) Prec@1 48.750 (47.270) Prec@5 81.875 (77.759) Epoch: [46][9190/11272] Time 0.745 (0.791) Data 0.001 (0.002) Loss 1.9870 (2.0486) Prec@1 43.750 (47.270) Prec@5 78.750 (77.759) Epoch: [46][9200/11272] Time 0.735 (0.791) Data 0.002 (0.002) Loss 1.9741 (2.0486) Prec@1 47.500 (47.270) Prec@5 80.625 (77.759) Epoch: [46][9210/11272] Time 0.899 (0.791) Data 0.002 (0.002) Loss 2.0096 (2.0487) Prec@1 46.250 (47.268) Prec@5 79.375 (77.756) Epoch: [46][9220/11272] Time 0.811 (0.791) Data 0.002 (0.002) Loss 2.0949 (2.0487) Prec@1 50.625 (47.269) Prec@5 75.625 (77.756) Epoch: [46][9230/11272] Time 0.763 (0.791) Data 0.001 (0.002) Loss 1.9941 (2.0486) Prec@1 50.000 (47.271) Prec@5 80.000 (77.758) Epoch: [46][9240/11272] Time 0.760 (0.791) Data 0.002 (0.002) Loss 2.0599 (2.0486) Prec@1 50.000 (47.272) Prec@5 77.500 (77.759) Epoch: [46][9250/11272] Time 0.862 (0.791) Data 0.001 (0.002) Loss 2.1577 (2.0486) Prec@1 43.125 (47.274) Prec@5 80.000 (77.758) Epoch: [46][9260/11272] Time 0.727 (0.791) Data 0.003 (0.002) Loss 1.9544 (2.0487) Prec@1 49.375 (47.272) Prec@5 79.375 (77.757) Epoch: [46][9270/11272] Time 0.738 (0.791) Data 0.002 (0.002) Loss 2.0929 (2.0487) Prec@1 51.875 (47.271) Prec@5 77.500 (77.756) Epoch: [46][9280/11272] Time 0.833 (0.791) Data 0.001 (0.002) Loss 2.0305 (2.0487) Prec@1 49.375 (47.272) Prec@5 78.750 (77.755) Epoch: [46][9290/11272] Time 0.848 (0.792) Data 0.001 (0.002) Loss 1.9211 (2.0487) Prec@1 48.125 (47.271) Prec@5 80.625 (77.756) Epoch: [46][9300/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.3430 (2.0488) Prec@1 40.625 (47.269) Prec@5 74.375 (77.755) Epoch: [46][9310/11272] Time 0.744 (0.792) Data 0.001 (0.002) Loss 1.7021 (2.0487) Prec@1 53.750 (47.270) Prec@5 83.750 (77.758) Epoch: [46][9320/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.4200 (2.0488) Prec@1 39.375 (47.267) Prec@5 69.375 (77.756) Epoch: [46][9330/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.0672 (2.0488) Prec@1 45.000 (47.265) Prec@5 76.875 (77.756) Epoch: [46][9340/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.2113 (2.0488) Prec@1 42.500 (47.265) Prec@5 75.000 (77.757) Epoch: [46][9350/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.1117 (2.0489) Prec@1 51.875 (47.265) Prec@5 75.625 (77.755) Epoch: [46][9360/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 2.0646 (2.0490) Prec@1 45.625 (47.263) Prec@5 80.000 (77.755) Epoch: [46][9370/11272] Time 0.873 (0.792) Data 0.001 (0.002) Loss 2.0887 (2.0490) Prec@1 46.875 (47.265) Prec@5 73.125 (77.754) Epoch: [46][9380/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.2006 (2.0490) Prec@1 40.625 (47.265) Prec@5 76.875 (77.753) Epoch: [46][9390/11272] Time 0.911 (0.792) Data 0.002 (0.002) Loss 2.1088 (2.0489) Prec@1 51.250 (47.267) Prec@5 75.000 (77.753) Epoch: [46][9400/11272] Time 0.875 (0.792) Data 0.002 (0.002) Loss 1.8928 (2.0489) Prec@1 53.750 (47.269) Prec@5 80.000 (77.756) Epoch: [46][9410/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.2487 (2.0490) Prec@1 41.875 (47.266) Prec@5 78.125 (77.753) Epoch: [46][9420/11272] Time 0.716 (0.792) Data 0.001 (0.002) Loss 2.1085 (2.0490) Prec@1 47.500 (47.264) Prec@5 76.875 (77.752) Epoch: [46][9430/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.2676 (2.0491) Prec@1 40.625 (47.262) Prec@5 73.750 (77.750) Epoch: [46][9440/11272] Time 0.816 (0.792) Data 0.001 (0.002) Loss 2.0181 (2.0491) Prec@1 46.250 (47.261) Prec@5 78.125 (77.751) Epoch: [46][9450/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.9659 (2.0491) Prec@1 48.125 (47.264) Prec@5 77.500 (77.752) Epoch: [46][9460/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 1.9803 (2.0490) Prec@1 48.750 (47.264) Prec@5 78.125 (77.753) Epoch: [46][9470/11272] Time 0.855 (0.792) Data 0.002 (0.002) Loss 2.0906 (2.0490) Prec@1 45.625 (47.265) Prec@5 81.250 (77.754) Epoch: [46][9480/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 1.9677 (2.0489) Prec@1 49.375 (47.266) Prec@5 81.250 (77.754) Epoch: [46][9490/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.0654 (2.0488) Prec@1 46.875 (47.269) Prec@5 76.250 (77.756) Epoch: [46][9500/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.9743 (2.0489) Prec@1 50.625 (47.267) Prec@5 76.250 (77.754) Epoch: [46][9510/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 1.9637 (2.0489) Prec@1 46.875 (47.266) Prec@5 75.625 (77.754) Epoch: [46][9520/11272] Time 0.823 (0.792) Data 0.002 (0.002) Loss 2.0421 (2.0490) Prec@1 48.125 (47.266) Prec@5 73.750 (77.753) Epoch: [46][9530/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 1.7809 (2.0489) Prec@1 51.875 (47.265) Prec@5 83.750 (77.754) Epoch: [46][9540/11272] Time 0.987 (0.792) Data 0.002 (0.002) Loss 2.2847 (2.0490) Prec@1 44.375 (47.265) Prec@5 76.250 (77.753) Epoch: [46][9550/11272] Time 0.879 (0.792) Data 0.002 (0.002) Loss 2.0807 (2.0490) Prec@1 46.250 (47.264) Prec@5 76.875 (77.752) Epoch: [46][9560/11272] Time 0.729 (0.792) Data 0.002 (0.002) Loss 2.0750 (2.0491) Prec@1 43.750 (47.264) Prec@5 79.375 (77.751) Epoch: [46][9570/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.8745 (2.0491) Prec@1 50.625 (47.263) Prec@5 83.125 (77.750) Epoch: [46][9580/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 2.1973 (2.0491) Prec@1 43.125 (47.264) Prec@5 74.375 (77.750) Epoch: [46][9590/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 2.1011 (2.0492) Prec@1 44.375 (47.264) Prec@5 76.875 (77.749) Epoch: [46][9600/11272] Time 0.762 (0.792) Data 0.002 (0.002) Loss 2.1229 (2.0493) Prec@1 45.625 (47.262) Prec@5 78.750 (77.747) Epoch: [46][9610/11272] Time 0.747 (0.792) Data 0.001 (0.002) Loss 2.2473 (2.0494) Prec@1 46.875 (47.258) Prec@5 73.125 (77.745) Epoch: [46][9620/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.0372 (2.0494) Prec@1 41.875 (47.258) Prec@5 83.125 (77.745) Epoch: [46][9630/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.0248 (2.0494) Prec@1 41.875 (47.257) Prec@5 76.250 (77.746) Epoch: [46][9640/11272] Time 0.749 (0.792) Data 0.001 (0.002) Loss 2.2315 (2.0494) Prec@1 43.750 (47.257) Prec@5 71.250 (77.745) Epoch: [46][9650/11272] Time 0.901 (0.792) Data 0.001 (0.002) Loss 2.4681 (2.0494) Prec@1 38.125 (47.257) Prec@5 75.000 (77.746) Epoch: [46][9660/11272] Time 0.850 (0.792) Data 0.001 (0.002) Loss 1.9513 (2.0495) Prec@1 50.625 (47.255) Prec@5 78.125 (77.744) Epoch: [46][9670/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.0847 (2.0495) Prec@1 50.000 (47.257) Prec@5 80.000 (77.745) Epoch: [46][9680/11272] Time 0.769 (0.792) Data 0.002 (0.002) Loss 1.9088 (2.0495) Prec@1 50.625 (47.258) Prec@5 80.625 (77.745) Epoch: [46][9690/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 2.2308 (2.0496) Prec@1 38.125 (47.255) Prec@5 76.875 (77.744) Epoch: [46][9700/11272] Time 0.887 (0.792) Data 0.002 (0.002) Loss 2.0655 (2.0496) Prec@1 49.375 (47.255) Prec@5 76.875 (77.743) Epoch: [46][9710/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 2.0713 (2.0496) Prec@1 48.125 (47.254) Prec@5 80.000 (77.743) Epoch: [46][9720/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.2954 (2.0496) Prec@1 40.000 (47.255) Prec@5 71.875 (77.742) Epoch: [46][9730/11272] Time 0.869 (0.792) Data 0.002 (0.002) Loss 2.1124 (2.0497) Prec@1 46.875 (47.255) Prec@5 77.500 (77.742) Epoch: [46][9740/11272] Time 0.871 (0.792) Data 0.002 (0.002) Loss 2.0615 (2.0497) Prec@1 50.000 (47.254) Prec@5 79.375 (77.742) Epoch: [46][9750/11272] Time 0.742 (0.792) Data 0.002 (0.002) Loss 1.7624 (2.0496) Prec@1 53.125 (47.256) Prec@5 81.250 (77.742) Epoch: [46][9760/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0820 (2.0496) Prec@1 42.500 (47.257) Prec@5 78.750 (77.742) Epoch: [46][9770/11272] Time 0.888 (0.792) Data 0.002 (0.002) Loss 1.7940 (2.0497) Prec@1 51.875 (47.257) Prec@5 83.125 (77.742) Epoch: [46][9780/11272] Time 0.851 (0.792) Data 0.001 (0.002) Loss 2.1777 (2.0496) Prec@1 41.875 (47.256) Prec@5 74.375 (77.742) Epoch: [46][9790/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1214 (2.0497) Prec@1 47.500 (47.257) Prec@5 73.125 (77.741) Epoch: [46][9800/11272] Time 0.899 (0.792) Data 0.002 (0.002) Loss 2.1441 (2.0497) Prec@1 41.875 (47.257) Prec@5 77.500 (77.741) Epoch: [46][9810/11272] Time 0.858 (0.792) Data 0.001 (0.002) Loss 1.9624 (2.0496) Prec@1 48.750 (47.259) Prec@5 78.125 (77.742) Epoch: [46][9820/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.1081 (2.0496) Prec@1 46.250 (47.259) Prec@5 78.125 (77.743) Epoch: [46][9830/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.2146 (2.0496) Prec@1 45.625 (47.259) Prec@5 75.000 (77.744) Epoch: [46][9840/11272] Time 0.897 (0.792) Data 0.002 (0.002) Loss 2.2063 (2.0496) Prec@1 41.250 (47.258) Prec@5 76.250 (77.744) Epoch: [46][9850/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.0510 (2.0495) Prec@1 46.875 (47.258) Prec@5 76.250 (77.744) Epoch: [46][9860/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 1.8092 (2.0496) Prec@1 50.625 (47.256) Prec@5 83.750 (77.744) Epoch: [46][9870/11272] Time 0.760 (0.792) Data 0.002 (0.002) Loss 2.0191 (2.0496) Prec@1 46.250 (47.255) Prec@5 76.250 (77.745) Epoch: [46][9880/11272] Time 0.902 (0.792) Data 0.002 (0.002) Loss 2.0479 (2.0496) Prec@1 50.625 (47.257) Prec@5 75.625 (77.744) Epoch: [46][9890/11272] Time 0.857 (0.792) Data 0.002 (0.002) Loss 2.0881 (2.0495) Prec@1 52.500 (47.258) Prec@5 75.625 (77.744) Epoch: [46][9900/11272] Time 0.733 (0.792) Data 0.001 (0.002) Loss 2.0782 (2.0496) Prec@1 48.125 (47.258) Prec@5 78.750 (77.744) Epoch: [46][9910/11272] Time 0.745 (0.792) Data 0.002 (0.002) Loss 1.9751 (2.0496) Prec@1 49.375 (47.258) Prec@5 80.625 (77.744) Epoch: [46][9920/11272] Time 0.875 (0.792) Data 0.002 (0.002) Loss 2.1038 (2.0496) Prec@1 50.000 (47.258) Prec@5 77.500 (77.744) Epoch: [46][9930/11272] Time 0.758 (0.792) Data 0.003 (0.002) Loss 2.2381 (2.0496) Prec@1 43.125 (47.256) Prec@5 75.625 (77.743) Epoch: [46][9940/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 1.9504 (2.0496) Prec@1 45.000 (47.254) Prec@5 80.625 (77.744) Epoch: [46][9950/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 1.9087 (2.0496) Prec@1 52.500 (47.255) Prec@5 80.625 (77.744) Epoch: [46][9960/11272] Time 0.867 (0.792) Data 0.002 (0.002) Loss 2.2469 (2.0496) Prec@1 45.000 (47.254) Prec@5 72.500 (77.744) Epoch: [46][9970/11272] Time 0.715 (0.792) Data 0.001 (0.002) Loss 1.9692 (2.0496) Prec@1 53.125 (47.254) Prec@5 76.250 (77.743) Epoch: [46][9980/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.4062 (2.0497) Prec@1 38.125 (47.253) Prec@5 71.250 (77.741) Epoch: [46][9990/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.1331 (2.0498) Prec@1 45.000 (47.253) Prec@5 77.500 (77.741) Epoch: [46][10000/11272] Time 0.805 (0.792) Data 0.002 (0.002) Loss 2.2917 (2.0498) Prec@1 41.250 (47.251) Prec@5 75.000 (77.743) Epoch: [46][10010/11272] Time 0.734 (0.792) Data 0.002 (0.002) Loss 1.7975 (2.0498) Prec@1 53.125 (47.250) Prec@5 82.500 (77.741) Epoch: [46][10020/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 2.1708 (2.0498) Prec@1 43.125 (47.249) Prec@5 78.750 (77.742) Epoch: [46][10030/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 1.8796 (2.0498) Prec@1 55.000 (47.251) Prec@5 78.125 (77.743) Epoch: [46][10040/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 2.0849 (2.0497) Prec@1 43.750 (47.253) Prec@5 78.750 (77.744) Epoch: [46][10050/11272] Time 0.737 (0.792) Data 0.002 (0.002) Loss 1.9713 (2.0498) Prec@1 47.500 (47.252) Prec@5 78.750 (77.743) Epoch: [46][10060/11272] Time 0.881 (0.792) Data 0.001 (0.002) Loss 1.8065 (2.0498) Prec@1 51.250 (47.250) Prec@5 81.875 (77.743) Epoch: [46][10070/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.9301 (2.0498) Prec@1 45.625 (47.250) Prec@5 83.750 (77.743) Epoch: [46][10080/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1859 (2.0499) Prec@1 35.000 (47.247) Prec@5 76.875 (77.742) Epoch: [46][10090/11272] Time 0.773 (0.792) Data 0.001 (0.002) Loss 1.8118 (2.0498) Prec@1 50.625 (47.248) Prec@5 85.625 (77.743) Epoch: [46][10100/11272] Time 0.852 (0.792) Data 0.001 (0.002) Loss 2.0557 (2.0499) Prec@1 44.375 (47.246) Prec@5 80.000 (77.742) Epoch: [46][10110/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 2.0081 (2.0499) Prec@1 45.625 (47.245) Prec@5 80.000 (77.742) Epoch: [46][10120/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.2714 (2.0500) Prec@1 38.125 (47.244) Prec@5 75.000 (77.741) Epoch: [46][10130/11272] Time 0.703 (0.792) Data 0.001 (0.002) Loss 2.1664 (2.0500) Prec@1 48.125 (47.245) Prec@5 77.500 (77.741) Epoch: [46][10140/11272] Time 0.863 (0.792) Data 0.001 (0.002) Loss 2.1847 (2.0500) Prec@1 46.875 (47.243) Prec@5 75.625 (77.741) Epoch: [46][10150/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 2.0461 (2.0500) Prec@1 49.375 (47.245) Prec@5 73.125 (77.740) Epoch: [46][10160/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 2.2993 (2.0501) Prec@1 41.875 (47.244) Prec@5 75.625 (77.739) Epoch: [46][10170/11272] Time 0.761 (0.792) Data 0.002 (0.002) Loss 2.2485 (2.0501) Prec@1 43.750 (47.245) Prec@5 75.625 (77.738) Epoch: [46][10180/11272] Time 0.861 (0.792) Data 0.001 (0.002) Loss 2.0931 (2.0501) Prec@1 50.000 (47.244) Prec@5 75.000 (77.737) Epoch: [46][10190/11272] Time 0.747 (0.792) Data 0.003 (0.002) Loss 1.9692 (2.0500) Prec@1 47.500 (47.245) Prec@5 81.875 (77.739) Epoch: [46][10200/11272] Time 0.782 (0.792) Data 0.002 (0.002) Loss 2.1217 (2.0501) Prec@1 45.000 (47.245) Prec@5 76.250 (77.738) Epoch: [46][10210/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.2980 (2.0501) Prec@1 43.125 (47.244) Prec@5 73.125 (77.738) Epoch: [46][10220/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.2289 (2.0502) Prec@1 43.750 (47.244) Prec@5 73.750 (77.737) Epoch: [46][10230/11272] Time 0.775 (0.792) Data 0.002 (0.002) Loss 1.9915 (2.0502) Prec@1 47.500 (47.242) Prec@5 82.500 (77.737) Epoch: [46][10240/11272] Time 0.749 (0.792) Data 0.002 (0.002) Loss 1.8612 (2.0502) Prec@1 49.375 (47.242) Prec@5 82.500 (77.736) Epoch: [46][10250/11272] Time 0.870 (0.792) Data 0.002 (0.002) Loss 2.1973 (2.0502) Prec@1 45.625 (47.239) Prec@5 74.375 (77.736) Epoch: [46][10260/11272] Time 0.826 (0.792) Data 0.001 (0.002) Loss 2.0510 (2.0502) Prec@1 46.875 (47.241) Prec@5 78.750 (77.738) Epoch: [46][10270/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.1877 (2.0502) Prec@1 48.750 (47.240) Prec@5 75.000 (77.737) Epoch: [46][10280/11272] Time 0.718 (0.792) Data 0.001 (0.002) Loss 2.3077 (2.0503) Prec@1 40.625 (47.239) Prec@5 74.375 (77.736) Epoch: [46][10290/11272] Time 0.820 (0.792) Data 0.001 (0.002) Loss 1.9811 (2.0502) Prec@1 51.875 (47.240) Prec@5 77.500 (77.736) Epoch: [46][10300/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 2.2523 (2.0502) Prec@1 42.500 (47.240) Prec@5 71.875 (77.735) Epoch: [46][10310/11272] Time 0.712 (0.792) Data 0.001 (0.002) Loss 1.8989 (2.0502) Prec@1 58.125 (47.243) Prec@5 80.000 (77.735) Epoch: [46][10320/11272] Time 0.874 (0.792) Data 0.001 (0.002) Loss 1.8655 (2.0502) Prec@1 50.625 (47.243) Prec@5 80.000 (77.735) Epoch: [46][10330/11272] Time 0.844 (0.792) Data 0.001 (0.002) Loss 2.1090 (2.0502) Prec@1 45.625 (47.242) Prec@5 76.250 (77.735) Epoch: [46][10340/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.9280 (2.0503) Prec@1 50.625 (47.242) Prec@5 75.000 (77.733) Epoch: [46][10350/11272] Time 0.736 (0.792) Data 0.002 (0.002) Loss 2.1706 (2.0503) Prec@1 46.250 (47.242) Prec@5 76.875 (77.731) Epoch: [46][10360/11272] Time 0.893 (0.792) Data 0.001 (0.002) Loss 2.1055 (2.0504) Prec@1 50.625 (47.239) Prec@5 76.250 (77.730) Epoch: [46][10370/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 1.9116 (2.0504) Prec@1 49.375 (47.240) Prec@5 78.750 (77.729) Epoch: [46][10380/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.1738 (2.0504) Prec@1 46.250 (47.241) Prec@5 76.250 (77.729) Epoch: [46][10390/11272] Time 0.739 (0.792) Data 0.001 (0.002) Loss 2.2737 (2.0504) Prec@1 42.500 (47.240) Prec@5 75.625 (77.728) Epoch: [46][10400/11272] Time 0.876 (0.792) Data 0.001 (0.002) Loss 1.9670 (2.0505) Prec@1 50.625 (47.237) Prec@5 75.625 (77.726) Epoch: [46][10410/11272] Time 0.825 (0.792) Data 0.001 (0.002) Loss 2.0182 (2.0505) Prec@1 46.250 (47.237) Prec@5 84.375 (77.728) Epoch: [46][10420/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.2324 (2.0504) Prec@1 40.625 (47.238) Prec@5 72.500 (77.729) Epoch: [46][10430/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 1.9940 (2.0504) Prec@1 48.125 (47.239) Prec@5 78.750 (77.730) Epoch: [46][10440/11272] Time 0.849 (0.792) Data 0.001 (0.002) Loss 1.7415 (2.0503) Prec@1 54.375 (47.241) Prec@5 81.250 (77.731) Epoch: [46][10450/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 1.8956 (2.0503) Prec@1 49.375 (47.240) Prec@5 80.000 (77.731) Epoch: [46][10460/11272] Time 0.735 (0.792) Data 0.002 (0.002) Loss 2.1306 (2.0503) Prec@1 38.125 (47.240) Prec@5 70.625 (77.730) Epoch: [46][10470/11272] Time 0.890 (0.792) Data 0.001 (0.002) Loss 2.2792 (2.0502) Prec@1 41.250 (47.240) Prec@5 71.875 (77.731) Epoch: [46][10480/11272] Time 0.838 (0.792) Data 0.001 (0.002) Loss 2.0592 (2.0502) Prec@1 47.500 (47.240) Prec@5 76.250 (77.732) Epoch: [46][10490/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 2.3090 (2.0502) Prec@1 38.750 (47.240) Prec@5 72.500 (77.731) Epoch: [46][10500/11272] Time 0.772 (0.792) Data 0.001 (0.002) Loss 2.0216 (2.0502) Prec@1 46.875 (47.240) Prec@5 74.375 (77.731) Epoch: [46][10510/11272] Time 0.839 (0.792) Data 0.002 (0.002) Loss 2.1086 (2.0503) Prec@1 48.750 (47.240) Prec@5 75.000 (77.730) Epoch: [46][10520/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 1.9095 (2.0503) Prec@1 52.500 (47.241) Prec@5 82.500 (77.729) Epoch: [46][10530/11272] Time 0.727 (0.792) Data 0.001 (0.002) Loss 1.9006 (2.0503) Prec@1 45.625 (47.242) Prec@5 83.125 (77.730) Epoch: [46][10540/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 2.0109 (2.0503) Prec@1 46.875 (47.242) Prec@5 81.250 (77.730) Epoch: [46][10550/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1200 (2.0503) Prec@1 45.625 (47.241) Prec@5 73.750 (77.728) Epoch: [46][10560/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.8918 (2.0503) Prec@1 54.375 (47.243) Prec@5 80.625 (77.729) Epoch: [46][10570/11272] Time 0.748 (0.792) Data 0.001 (0.002) Loss 2.2504 (2.0504) Prec@1 43.750 (47.241) Prec@5 74.375 (77.728) Epoch: [46][10580/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.0285 (2.0504) Prec@1 50.625 (47.240) Prec@5 76.875 (77.727) Epoch: [46][10590/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 1.8874 (2.0505) Prec@1 56.250 (47.238) Prec@5 81.250 (77.726) Epoch: [46][10600/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.8860 (2.0505) Prec@1 55.000 (47.238) Prec@5 79.375 (77.725) Epoch: [46][10610/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.7695 (2.0505) Prec@1 53.750 (47.239) Prec@5 81.250 (77.725) Epoch: [46][10620/11272] Time 0.807 (0.792) Data 0.001 (0.002) Loss 2.0685 (2.0505) Prec@1 41.875 (47.239) Prec@5 81.250 (77.726) Epoch: [46][10630/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.0369 (2.0506) Prec@1 50.000 (47.238) Prec@5 76.250 (77.724) Epoch: [46][10640/11272] Time 0.739 (0.792) Data 0.002 (0.002) Loss 2.1408 (2.0505) Prec@1 43.750 (47.238) Prec@5 75.000 (77.725) Epoch: [46][10650/11272] Time 0.750 (0.792) Data 0.001 (0.002) Loss 2.0419 (2.0506) Prec@1 46.250 (47.237) Prec@5 78.750 (77.722) Epoch: [46][10660/11272] Time 0.871 (0.792) Data 0.001 (0.002) Loss 2.0276 (2.0506) Prec@1 49.375 (47.237) Prec@5 79.375 (77.724) Epoch: [46][10670/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 2.0572 (2.0507) Prec@1 44.375 (47.236) Prec@5 83.125 (77.724) Epoch: [46][10680/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.8749 (2.0506) Prec@1 53.125 (47.236) Prec@5 81.875 (77.723) Epoch: [46][10690/11272] Time 0.737 (0.792) Data 0.001 (0.002) Loss 1.9781 (2.0506) Prec@1 50.000 (47.235) Prec@5 80.000 (77.724) Epoch: [46][10700/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 1.9408 (2.0506) Prec@1 46.875 (47.237) Prec@5 81.250 (77.725) Epoch: [46][10710/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.3338 (2.0505) Prec@1 46.250 (47.238) Prec@5 71.250 (77.727) Epoch: [46][10720/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 2.2279 (2.0505) Prec@1 46.875 (47.240) Prec@5 71.875 (77.726) Epoch: [46][10730/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 2.1343 (2.0505) Prec@1 45.000 (47.239) Prec@5 76.250 (77.726) Epoch: [46][10740/11272] Time 0.807 (0.792) Data 0.001 (0.002) Loss 1.8635 (2.0505) Prec@1 50.625 (47.240) Prec@5 80.000 (77.726) Epoch: [46][10750/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.1654 (2.0505) Prec@1 40.625 (47.240) Prec@5 75.625 (77.725) Epoch: [46][10760/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 2.1129 (2.0506) Prec@1 46.875 (47.238) Prec@5 76.875 (77.724) Epoch: [46][10770/11272] Time 0.838 (0.792) Data 0.002 (0.002) Loss 1.9427 (2.0506) Prec@1 49.375 (47.237) Prec@5 76.250 (77.722) Epoch: [46][10780/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 1.7894 (2.0506) Prec@1 46.250 (47.238) Prec@5 85.625 (77.724) Epoch: [46][10790/11272] Time 0.721 (0.792) Data 0.001 (0.002) Loss 2.0742 (2.0507) Prec@1 45.000 (47.235) Prec@5 76.875 (77.723) Epoch: [46][10800/11272] Time 0.772 (0.792) Data 0.001 (0.002) Loss 1.9916 (2.0507) Prec@1 47.500 (47.234) Prec@5 76.250 (77.723) Epoch: [46][10810/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1765 (2.0507) Prec@1 43.750 (47.232) Prec@5 77.500 (77.722) Epoch: [46][10820/11272] Time 0.843 (0.792) Data 0.002 (0.002) Loss 2.2581 (2.0508) Prec@1 37.500 (47.229) Prec@5 75.000 (77.721) Epoch: [46][10830/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.9153 (2.0508) Prec@1 54.375 (47.230) Prec@5 76.250 (77.720) Epoch: [46][10840/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.3185 (2.0509) Prec@1 43.750 (47.228) Prec@5 71.250 (77.718) Epoch: [46][10850/11272] Time 0.831 (0.792) Data 0.001 (0.002) Loss 2.2232 (2.0510) Prec@1 47.500 (47.228) Prec@5 72.500 (77.716) Epoch: [46][10860/11272] Time 0.736 (0.792) Data 0.003 (0.002) Loss 2.4366 (2.0509) Prec@1 38.125 (47.230) Prec@5 71.250 (77.718) Epoch: [46][10870/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.0463 (2.0509) Prec@1 52.500 (47.231) Prec@5 76.250 (77.718) Epoch: [46][10880/11272] Time 0.868 (0.792) Data 0.001 (0.002) Loss 2.2623 (2.0510) Prec@1 44.375 (47.230) Prec@5 76.250 (77.717) Epoch: [46][10890/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.2007 (2.0510) Prec@1 45.625 (47.230) Prec@5 76.875 (77.719) Epoch: [46][10900/11272] Time 0.733 (0.792) Data 0.002 (0.002) Loss 1.9783 (2.0510) Prec@1 50.625 (47.231) Prec@5 79.375 (77.717) Epoch: [46][10910/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 2.1450 (2.0509) Prec@1 46.250 (47.231) Prec@5 75.625 (77.718) Epoch: [46][10920/11272] Time 0.880 (0.792) Data 0.002 (0.002) Loss 1.9662 (2.0510) Prec@1 50.625 (47.231) Prec@5 79.375 (77.718) Epoch: [46][10930/11272] Time 0.847 (0.792) Data 0.002 (0.002) Loss 2.1315 (2.0509) Prec@1 43.750 (47.232) Prec@5 79.375 (77.719) Epoch: [46][10940/11272] Time 0.762 (0.792) Data 0.002 (0.002) Loss 2.1188 (2.0508) Prec@1 50.625 (47.233) Prec@5 75.625 (77.720) Epoch: [46][10950/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 2.0592 (2.0509) Prec@1 43.125 (47.232) Prec@5 80.625 (77.719) Epoch: [46][10960/11272] Time 0.830 (0.792) Data 0.001 (0.002) Loss 2.0505 (2.0509) Prec@1 43.750 (47.231) Prec@5 78.750 (77.719) Epoch: [46][10970/11272] Time 0.845 (0.792) Data 0.001 (0.002) Loss 2.2918 (2.0509) Prec@1 46.875 (47.231) Prec@5 71.250 (77.719) Epoch: [46][10980/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.1668 (2.0510) Prec@1 48.125 (47.231) Prec@5 76.250 (77.718) Epoch: [46][10990/11272] Time 0.900 (0.792) Data 0.001 (0.002) Loss 2.3302 (2.0511) Prec@1 42.500 (47.228) Prec@5 75.625 (77.717) Epoch: [46][11000/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0400 (2.0511) Prec@1 48.750 (47.227) Prec@5 80.625 (77.716) Epoch: [46][11010/11272] Time 0.756 (0.792) Data 0.002 (0.002) Loss 2.0792 (2.0512) Prec@1 46.250 (47.225) Prec@5 77.500 (77.716) Epoch: [46][11020/11272] Time 0.722 (0.792) Data 0.001 (0.002) Loss 2.2621 (2.0512) Prec@1 43.750 (47.223) Prec@5 74.375 (77.717) Epoch: [46][11030/11272] Time 0.855 (0.792) Data 0.001 (0.002) Loss 1.8038 (2.0512) Prec@1 52.500 (47.222) Prec@5 80.625 (77.716) Epoch: [46][11040/11272] Time 0.859 (0.792) Data 0.002 (0.002) Loss 1.9800 (2.0511) Prec@1 48.750 (47.224) Prec@5 78.125 (77.718) Epoch: [46][11050/11272] Time 0.744 (0.792) Data 0.002 (0.002) Loss 1.8815 (2.0511) Prec@1 53.750 (47.225) Prec@5 82.500 (77.719) Epoch: [46][11060/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 2.0496 (2.0510) Prec@1 46.250 (47.227) Prec@5 78.125 (77.720) Epoch: [46][11070/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.0650 (2.0511) Prec@1 46.875 (47.225) Prec@5 78.125 (77.720) Epoch: [46][11080/11272] Time 0.847 (0.792) Data 0.001 (0.002) Loss 2.3813 (2.0510) Prec@1 41.250 (47.226) Prec@5 68.750 (77.720) Epoch: [46][11090/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.1070 (2.0511) Prec@1 44.375 (47.223) Prec@5 74.375 (77.718) Epoch: [46][11100/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 1.8025 (2.0510) Prec@1 54.375 (47.226) Prec@5 80.625 (77.720) Epoch: [46][11110/11272] Time 0.830 (0.792) Data 0.002 (0.002) Loss 2.0612 (2.0510) Prec@1 48.750 (47.225) Prec@5 76.250 (77.719) Epoch: [46][11120/11272] Time 0.713 (0.792) Data 0.002 (0.002) Loss 2.1669 (2.0510) Prec@1 43.125 (47.225) Prec@5 77.500 (77.719) Epoch: [46][11130/11272] Time 0.720 (0.792) Data 0.001 (0.002) Loss 2.1174 (2.0511) Prec@1 48.750 (47.225) Prec@5 78.750 (77.718) Epoch: [46][11140/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.0307 (2.0511) Prec@1 45.000 (47.224) Prec@5 76.250 (77.718) Epoch: [46][11150/11272] Time 0.816 (0.791) Data 0.001 (0.002) Loss 2.0182 (2.0510) Prec@1 50.625 (47.226) Prec@5 82.500 (77.720) Epoch: [46][11160/11272] Time 0.717 (0.792) Data 0.001 (0.002) Loss 2.1908 (2.0510) Prec@1 44.375 (47.226) Prec@5 73.125 (77.720) Epoch: [46][11170/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.1385 (2.0510) Prec@1 47.500 (47.224) Prec@5 74.375 (77.718) Epoch: [46][11180/11272] Time 0.841 (0.791) Data 0.002 (0.002) Loss 2.0625 (2.0511) Prec@1 49.375 (47.224) Prec@5 78.125 (77.717) Epoch: [46][11190/11272] Time 0.834 (0.791) Data 0.001 (0.002) Loss 2.1614 (2.0510) Prec@1 45.625 (47.226) Prec@5 78.750 (77.718) Epoch: [46][11200/11272] Time 0.721 (0.791) Data 0.001 (0.002) Loss 2.0401 (2.0510) Prec@1 51.875 (47.227) Prec@5 80.000 (77.719) Epoch: [46][11210/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 2.0919 (2.0510) Prec@1 47.500 (47.225) Prec@5 76.250 (77.719) Epoch: [46][11220/11272] Time 0.827 (0.791) Data 0.001 (0.002) Loss 1.9238 (2.0510) Prec@1 49.375 (47.226) Prec@5 83.125 (77.721) Epoch: [46][11230/11272] Time 0.803 (0.791) Data 0.001 (0.002) Loss 2.0794 (2.0510) Prec@1 48.125 (47.226) Prec@5 80.625 (77.720) Epoch: [46][11240/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.0959 (2.0511) Prec@1 48.750 (47.226) Prec@5 76.250 (77.719) Epoch: [46][11250/11272] Time 0.836 (0.791) Data 0.001 (0.002) Loss 2.1218 (2.0511) Prec@1 48.750 (47.226) Prec@5 76.250 (77.718) Epoch: [46][11260/11272] Time 0.830 (0.791) Data 0.001 (0.002) Loss 2.0192 (2.0510) Prec@1 45.625 (47.227) Prec@5 73.125 (77.718) Epoch: [46][11270/11272] Time 0.726 (0.791) Data 0.000 (0.002) Loss 1.8873 (2.0511) Prec@1 50.000 (47.228) Prec@5 84.375 (77.718) Test: [0/229] Time 1.990 (1.990) Loss 1.1855 (1.1855) Prec@1 57.500 (57.500) Prec@5 95.625 (95.625) Test: [10/229] Time 0.399 (0.529) Loss 1.0360 (1.6954) Prec@1 69.375 (53.580) Prec@5 96.875 (86.364) Test: [20/229] Time 0.320 (0.453) Loss 2.2281 (1.8028) Prec@1 43.750 (50.952) Prec@5 73.125 (84.107) Test: [30/229] Time 0.420 (0.433) Loss 1.9218 (1.7055) Prec@1 45.000 (54.536) Prec@5 83.750 (85.202) Test: [40/229] Time 0.359 (0.419) Loss 0.4758 (1.7010) Prec@1 88.750 (54.482) Prec@5 96.250 (85.076) Test: [50/229] Time 0.436 (0.411) Loss 2.2039 (1.7561) Prec@1 38.125 (53.493) Prec@5 80.625 (83.787) Test: [60/229] Time 0.408 (0.406) Loss 2.2593 (1.7474) Prec@1 36.250 (53.391) Prec@5 76.250 (83.832) Test: [70/229] Time 0.359 (0.401) Loss 1.6007 (1.7600) Prec@1 61.250 (53.204) Prec@5 84.375 (83.803) Test: [80/229] Time 0.439 (0.399) Loss 2.2947 (1.7780) Prec@1 37.500 (52.292) Prec@5 82.500 (83.912) Test: [90/229] Time 0.324 (0.396) Loss 1.4695 (1.7929) Prec@1 59.375 (51.923) Prec@5 86.875 (83.798) Test: [100/229] Time 0.459 (0.395) Loss 2.0784 (1.7867) Prec@1 51.250 (52.265) Prec@5 78.750 (83.694) Test: [110/229] Time 0.315 (0.393) Loss 1.4551 (1.7719) Prec@1 61.875 (52.483) Prec@5 83.750 (83.812) Test: [120/229] Time 0.347 (0.392) Loss 2.7842 (1.7823) Prec@1 31.250 (52.113) Prec@5 76.250 (83.740) Test: [130/229] Time 0.427 (0.390) Loss 1.3527 (1.7633) Prec@1 58.125 (52.529) Prec@5 90.000 (83.936) Test: [140/229] Time 0.323 (0.388) Loss 1.6806 (1.7711) Prec@1 51.250 (52.358) Prec@5 86.250 (83.887) Test: [150/229] Time 0.464 (0.389) Loss 1.0063 (1.7798) Prec@1 77.500 (52.165) Prec@5 88.750 (83.825) Test: [160/229] Time 0.337 (0.389) Loss 1.7994 (1.7847) Prec@1 59.375 (52.061) Prec@5 85.000 (83.734) Test: [170/229] Time 0.474 (0.388) Loss 1.8420 (1.7998) Prec@1 50.625 (51.572) Prec@5 83.750 (83.516) Test: [180/229] Time 0.343 (0.387) Loss 2.6137 (1.8091) Prec@1 31.875 (51.457) Prec@5 63.125 (83.267) Test: [190/229] Time 0.341 (0.387) Loss 1.4242 (1.7975) Prec@1 62.500 (51.787) Prec@5 89.375 (83.416) Test: [200/229] Time 0.396 (0.386) Loss 1.6846 (1.7853) Prec@1 51.875 (52.021) Prec@5 81.875 (83.663) Test: [210/229] Time 0.329 (0.386) Loss 1.1394 (1.7725) Prec@1 65.000 (52.322) Prec@5 93.125 (83.812) Test: [220/229] Time 0.427 (0.386) Loss 1.2990 (1.7638) Prec@1 68.750 (52.639) Prec@5 88.750 (83.874) * Prec@1 52.912 Prec@5 83.965 Epoch: [47][0/11272] Time 4.228 (4.228) Data 3.302 (3.302) Loss 1.9322 (1.9322) Prec@1 51.875 (51.875) Prec@5 82.500 (82.500) Epoch: [47][10/11272] Time 0.728 (1.090) Data 0.001 (0.301) Loss 1.8895 (1.9787) Prec@1 53.125 (49.886) Prec@5 81.875 (79.034) Epoch: [47][20/11272] Time 0.734 (0.939) Data 0.001 (0.158) Loss 1.8873 (2.0083) Prec@1 51.250 (47.917) Prec@5 82.500 (79.256) Epoch: [47][30/11272] Time 0.835 (0.891) Data 0.002 (0.108) Loss 1.8811 (2.0066) Prec@1 50.625 (47.802) Prec@5 82.500 (78.831) Epoch: [47][40/11272] Time 0.835 (0.863) Data 0.001 (0.082) Loss 1.9961 (2.0109) Prec@1 50.625 (48.049) Prec@5 80.625 (78.704) Epoch: [47][50/11272] Time 0.717 (0.848) Data 0.001 (0.066) Loss 2.1635 (2.0105) Prec@1 48.125 (48.027) Prec@5 71.875 (78.542) Epoch: [47][60/11272] Time 0.855 (0.837) Data 0.001 (0.055) Loss 2.0291 (2.0140) Prec@1 50.000 (47.961) Prec@5 75.625 (78.443) Epoch: [47][70/11272] Time 0.863 (0.830) Data 0.001 (0.048) Loss 2.0226 (2.0063) Prec@1 44.375 (47.861) Prec@5 81.875 (78.680) Epoch: [47][80/11272] Time 0.736 (0.823) Data 0.001 (0.042) Loss 1.9862 (2.0028) Prec@1 50.625 (47.917) Prec@5 77.500 (78.742) Epoch: [47][90/11272] Time 0.731 (0.819) Data 0.001 (0.038) Loss 2.1590 (1.9978) Prec@1 43.125 (47.940) Prec@5 78.125 (78.887) Epoch: [47][100/11272] Time 0.836 (0.814) Data 0.001 (0.034) Loss 2.0020 (1.9956) Prec@1 50.625 (48.113) Prec@5 78.125 (78.917) Epoch: [47][110/11272] Time 0.813 (0.812) Data 0.002 (0.031) Loss 2.0780 (1.9959) Prec@1 51.250 (48.238) Prec@5 78.125 (78.885) Epoch: [47][120/11272] Time 0.726 (0.810) Data 0.002 (0.029) Loss 2.1237 (1.9963) Prec@1 45.000 (48.249) Prec@5 75.000 (78.900) Epoch: [47][130/11272] Time 0.736 (0.807) Data 0.001 (0.027) Loss 1.9814 (1.9946) Prec@1 47.500 (48.168) Prec@5 79.375 (78.950) Epoch: [47][140/11272] Time 0.827 (0.806) Data 0.001 (0.025) Loss 1.9590 (1.9981) Prec@1 48.750 (48.191) Prec@5 76.250 (78.852) Epoch: [47][150/11272] Time 0.819 (0.804) Data 0.001 (0.023) Loss 2.0234 (2.0018) Prec@1 41.875 (48.171) Prec@5 80.000 (78.758) Epoch: [47][160/11272] Time 0.727 (0.804) Data 0.001 (0.022) Loss 1.9214 (2.0062) Prec@1 49.375 (48.032) Prec@5 80.625 (78.668) Epoch: [47][170/11272] Time 0.723 (0.803) Data 0.001 (0.021) Loss 2.1592 (2.0081) Prec@1 43.125 (48.048) Prec@5 75.625 (78.659) Epoch: [47][180/11272] Time 0.835 (0.802) Data 0.001 (0.020) Loss 1.9114 (2.0058) Prec@1 51.875 (48.173) Prec@5 80.625 (78.695) Epoch: [47][190/11272] Time 0.731 (0.801) Data 0.003 (0.019) Loss 1.9714 (2.0091) Prec@1 49.375 (48.086) Prec@5 78.125 (78.603) Epoch: [47][200/11272] Time 0.720 (0.800) Data 0.001 (0.018) Loss 1.9855 (2.0066) Prec@1 44.375 (48.144) Prec@5 75.625 (78.623) Epoch: [47][210/11272] Time 0.835 (0.800) Data 0.001 (0.017) Loss 2.1485 (2.0041) Prec@1 45.625 (48.161) Prec@5 71.875 (78.643) Epoch: [47][220/11272] Time 0.826 (0.799) Data 0.001 (0.016) Loss 1.9959 (2.0033) Prec@1 44.375 (48.125) Prec@5 76.250 (78.676) Epoch: [47][230/11272] Time 0.727 (0.798) Data 0.001 (0.016) Loss 2.1481 (2.0035) Prec@1 45.625 (48.109) Prec@5 75.000 (78.642) Epoch: [47][240/11272] Time 0.723 (0.798) Data 0.001 (0.015) Loss 2.2168 (2.0067) Prec@1 46.250 (48.094) Prec@5 78.125 (78.623) Epoch: [47][250/11272] Time 0.820 (0.797) Data 0.001 (0.015) Loss 2.2150 (2.0075) Prec@1 43.750 (48.090) Prec@5 76.250 (78.603) Epoch: [47][260/11272] Time 0.815 (0.797) Data 0.003 (0.014) Loss 2.0740 (2.0099) Prec@1 48.750 (48.070) Prec@5 75.000 (78.542) Epoch: [47][270/11272] Time 0.721 (0.796) Data 0.001 (0.014) Loss 1.8796 (2.0106) Prec@1 55.000 (48.056) Prec@5 77.500 (78.503) Epoch: [47][280/11272] Time 0.746 (0.795) Data 0.001 (0.013) Loss 1.8134 (2.0114) Prec@1 50.625 (48.058) Prec@5 82.500 (78.488) Epoch: [47][290/11272] Time 0.832 (0.795) Data 0.001 (0.013) Loss 2.1416 (2.0119) Prec@1 46.875 (48.050) Prec@5 76.250 (78.466) Epoch: [47][300/11272] Time 0.822 (0.795) Data 0.001 (0.012) Loss 2.1531 (2.0138) Prec@1 43.750 (47.949) Prec@5 73.750 (78.418) Epoch: [47][310/11272] Time 0.729 (0.794) Data 0.001 (0.012) Loss 2.0478 (2.0146) Prec@1 45.000 (47.924) Prec@5 78.125 (78.439) Epoch: [47][320/11272] Time 0.845 (0.794) Data 0.002 (0.012) Loss 2.0842 (2.0151) Prec@1 45.000 (47.928) Prec@5 76.250 (78.423) Epoch: [47][330/11272] Time 0.849 (0.794) Data 0.002 (0.011) Loss 2.0080 (2.0159) Prec@1 42.500 (47.912) Prec@5 77.500 (78.412) Epoch: [47][340/11272] Time 0.718 (0.793) Data 0.001 (0.011) Loss 2.0024 (2.0140) Prec@1 46.250 (47.934) Prec@5 80.000 (78.457) Epoch: [47][350/11272] Time 0.726 (0.793) Data 0.002 (0.011) Loss 1.9575 (2.0154) Prec@1 50.000 (47.895) Prec@5 81.250 (78.428) Epoch: [47][360/11272] Time 0.849 (0.792) Data 0.001 (0.011) Loss 2.2726 (2.0190) Prec@1 40.625 (47.846) Prec@5 70.000 (78.341) Epoch: [47][370/11272] Time 0.811 (0.792) Data 0.001 (0.010) Loss 2.1228 (2.0192) Prec@1 49.375 (47.859) Prec@5 77.500 (78.344) Epoch: [47][380/11272] Time 0.738 (0.791) Data 0.001 (0.010) Loss 2.0767 (2.0188) Prec@1 42.500 (47.840) Prec@5 77.500 (78.355) Epoch: [47][390/11272] Time 0.726 (0.791) Data 0.001 (0.010) Loss 1.9904 (2.0195) Prec@1 50.000 (47.831) Prec@5 80.000 (78.326) Epoch: [47][400/11272] Time 0.894 (0.792) Data 0.002 (0.010) Loss 2.0506 (2.0193) Prec@1 49.375 (47.843) Prec@5 80.625 (78.349) Epoch: [47][410/11272] Time 0.850 (0.791) Data 0.001 (0.009) Loss 1.8803 (2.0182) Prec@1 48.750 (47.870) Prec@5 81.875 (78.365) Epoch: [47][420/11272] Time 0.736 (0.792) Data 0.001 (0.009) Loss 1.9163 (2.0199) Prec@1 49.375 (47.834) Prec@5 76.250 (78.336) Epoch: [47][430/11272] Time 0.733 (0.791) Data 0.001 (0.009) Loss 1.6822 (2.0197) Prec@1 53.750 (47.851) Prec@5 83.125 (78.332) Epoch: [47][440/11272] Time 0.831 (0.792) Data 0.001 (0.009) Loss 2.0351 (2.0194) Prec@1 49.375 (47.864) Prec@5 76.875 (78.309) Epoch: [47][450/11272] Time 0.715 (0.791) Data 0.002 (0.009) Loss 2.2345 (2.0200) Prec@1 45.625 (47.874) Prec@5 75.625 (78.301) Epoch: [47][460/11272] Time 0.745 (0.791) Data 0.001 (0.009) Loss 2.1292 (2.0205) Prec@1 45.000 (47.866) Prec@5 75.000 (78.301) Epoch: [47][470/11272] Time 0.831 (0.791) Data 0.001 (0.008) Loss 2.1016 (2.0211) Prec@1 44.375 (47.870) Prec@5 75.625 (78.287) Epoch: [47][480/11272] Time 0.818 (0.790) Data 0.002 (0.008) Loss 1.8672 (2.0211) Prec@1 50.000 (47.873) Prec@5 78.125 (78.273) Epoch: [47][490/11272] Time 0.728 (0.790) Data 0.001 (0.008) Loss 2.2083 (2.0210) Prec@1 40.000 (47.836) Prec@5 75.000 (78.308) Epoch: [47][500/11272] Time 0.739 (0.790) Data 0.002 (0.008) Loss 1.9597 (2.0223) Prec@1 48.125 (47.801) Prec@5 81.250 (78.301) Epoch: [47][510/11272] Time 0.830 (0.790) Data 0.001 (0.008) Loss 2.1566 (2.0221) Prec@1 48.750 (47.789) Prec@5 75.625 (78.311) Epoch: [47][520/11272] Time 0.832 (0.790) Data 0.001 (0.008) Loss 2.2312 (2.0229) Prec@1 43.125 (47.760) Prec@5 76.250 (78.297) Epoch: [47][530/11272] Time 0.758 (0.790) Data 0.001 (0.008) Loss 2.0656 (2.0228) Prec@1 43.750 (47.773) Prec@5 75.000 (78.300) Epoch: [47][540/11272] Time 0.760 (0.790) Data 0.001 (0.007) Loss 2.0879 (2.0249) Prec@1 41.875 (47.717) Prec@5 76.875 (78.257) Epoch: [47][550/11272] Time 0.837 (0.790) Data 0.001 (0.007) Loss 1.8313 (2.0249) Prec@1 51.875 (47.725) Prec@5 80.000 (78.272) Epoch: [47][560/11272] Time 0.828 (0.790) Data 0.001 (0.007) Loss 2.1619 (2.0242) Prec@1 36.875 (47.709) Prec@5 78.750 (78.300) Epoch: [47][570/11272] Time 0.724 (0.789) Data 0.001 (0.007) Loss 2.3495 (2.0249) Prec@1 38.750 (47.699) Prec@5 73.125 (78.292) Epoch: [47][580/11272] Time 0.885 (0.790) Data 0.001 (0.007) Loss 1.9518 (2.0249) Prec@1 49.375 (47.694) Prec@5 79.375 (78.295) Epoch: [47][590/11272] Time 0.877 (0.790) Data 0.001 (0.007) Loss 1.7263 (2.0248) Prec@1 56.250 (47.704) Prec@5 83.125 (78.289) Epoch: [47][600/11272] Time 0.774 (0.790) Data 0.001 (0.007) Loss 2.1489 (2.0248) Prec@1 46.250 (47.723) Prec@5 75.625 (78.284) Epoch: [47][610/11272] Time 0.754 (0.790) Data 0.001 (0.007) Loss 2.2097 (2.0258) Prec@1 42.500 (47.703) Prec@5 73.750 (78.282) Epoch: [47][620/11272] Time 0.854 (0.790) Data 0.001 (0.007) Loss 2.0481 (2.0249) Prec@1 50.000 (47.722) Prec@5 78.125 (78.316) Epoch: [47][630/11272] Time 0.849 (0.790) Data 0.001 (0.007) Loss 2.0786 (2.0256) Prec@1 44.375 (47.692) Prec@5 79.375 (78.314) Epoch: [47][640/11272] Time 0.727 (0.790) Data 0.002 (0.007) Loss 1.9446 (2.0256) Prec@1 50.625 (47.688) Prec@5 79.375 (78.303) Epoch: [47][650/11272] Time 0.732 (0.790) Data 0.001 (0.006) Loss 2.2535 (2.0263) Prec@1 46.250 (47.699) Prec@5 76.875 (78.282) Epoch: [47][660/11272] Time 0.817 (0.789) Data 0.001 (0.006) Loss 1.8521 (2.0262) Prec@1 50.625 (47.699) Prec@5 80.625 (78.274) Epoch: [47][670/11272] Time 0.829 (0.789) Data 0.001 (0.006) Loss 2.1381 (2.0265) Prec@1 45.625 (47.692) Prec@5 78.125 (78.276) Epoch: [47][680/11272] Time 0.725 (0.789) Data 0.001 (0.006) Loss 2.1121 (2.0260) Prec@1 42.500 (47.693) Prec@5 77.500 (78.267) Epoch: [47][690/11272] Time 0.710 (0.789) Data 0.001 (0.006) Loss 2.0166 (2.0264) Prec@1 45.625 (47.680) Prec@5 78.750 (78.269) Epoch: [47][700/11272] Time 0.825 (0.789) Data 0.001 (0.006) Loss 1.9714 (2.0261) Prec@1 48.125 (47.690) Prec@5 80.000 (78.275) Epoch: [47][710/11272] Time 0.817 (0.789) Data 0.001 (0.006) Loss 1.9028 (2.0263) Prec@1 52.500 (47.685) Prec@5 80.000 (78.262) Epoch: [47][720/11272] Time 0.729 (0.789) Data 0.001 (0.006) Loss 1.7983 (2.0262) Prec@1 51.875 (47.668) Prec@5 85.000 (78.285) Epoch: [47][730/11272] Time 0.888 (0.789) Data 0.001 (0.006) Loss 1.9635 (2.0265) Prec@1 46.250 (47.654) Prec@5 83.125 (78.284) Epoch: [47][740/11272] Time 0.836 (0.789) Data 0.001 (0.006) Loss 1.9174 (2.0263) Prec@1 50.000 (47.654) Prec@5 83.125 (78.298) Epoch: [47][750/11272] Time 0.730 (0.789) Data 0.001 (0.006) Loss 2.1053 (2.0261) Prec@1 45.625 (47.654) Prec@5 76.250 (78.299) Epoch: [47][760/11272] Time 0.722 (0.789) Data 0.001 (0.006) Loss 2.0381 (2.0258) Prec@1 52.500 (47.676) Prec@5 78.125 (78.306) Epoch: [47][770/11272] Time 0.835 (0.789) Data 0.001 (0.006) Loss 2.1471 (2.0259) Prec@1 44.375 (47.675) Prec@5 75.625 (78.296) Epoch: [47][780/11272] Time 0.820 (0.789) Data 0.001 (0.006) Loss 1.9852 (2.0267) Prec@1 46.875 (47.654) Prec@5 80.000 (78.283) Epoch: [47][790/11272] Time 0.732 (0.789) Data 0.001 (0.006) Loss 1.8095 (2.0270) Prec@1 50.000 (47.637) Prec@5 84.375 (78.277) Epoch: [47][800/11272] Time 0.770 (0.789) Data 0.002 (0.006) Loss 1.8513 (2.0277) Prec@1 53.750 (47.631) Prec@5 81.250 (78.251) Epoch: [47][810/11272] Time 0.838 (0.789) Data 0.001 (0.005) Loss 1.8814 (2.0271) Prec@1 50.000 (47.636) Prec@5 81.875 (78.283) Epoch: [47][820/11272] Time 0.837 (0.789) Data 0.001 (0.005) Loss 2.1557 (2.0270) Prec@1 49.375 (47.636) Prec@5 78.125 (78.287) Epoch: [47][830/11272] Time 0.716 (0.788) Data 0.001 (0.005) Loss 2.0374 (2.0272) Prec@1 48.125 (47.637) Prec@5 78.125 (78.275) Epoch: [47][840/11272] Time 0.725 (0.788) Data 0.001 (0.005) Loss 2.3239 (2.0271) Prec@1 41.875 (47.635) Prec@5 73.125 (78.259) Epoch: [47][850/11272] Time 0.838 (0.788) Data 0.001 (0.005) Loss 1.8068 (2.0268) Prec@1 47.500 (47.631) Prec@5 80.000 (78.258) Epoch: [47][860/11272] Time 0.724 (0.788) Data 0.001 (0.005) Loss 2.1579 (2.0275) Prec@1 48.750 (47.618) Prec@5 75.000 (78.247) Epoch: [47][870/11272] Time 0.736 (0.788) Data 0.002 (0.005) Loss 2.1441 (2.0277) Prec@1 44.375 (47.590) Prec@5 73.125 (78.240) Epoch: [47][880/11272] Time 0.862 (0.789) Data 0.001 (0.005) Loss 2.2744 (2.0281) Prec@1 39.375 (47.567) Prec@5 76.250 (78.230) Epoch: [47][890/11272] Time 0.819 (0.789) Data 0.001 (0.005) Loss 2.1244 (2.0270) Prec@1 41.875 (47.590) Prec@5 75.625 (78.255) Epoch: [47][900/11272] Time 0.804 (0.789) Data 0.001 (0.005) Loss 2.0964 (2.0273) Prec@1 52.500 (47.593) Prec@5 75.000 (78.254) Epoch: [47][910/11272] Time 0.725 (0.789) Data 0.001 (0.005) Loss 2.0530 (2.0279) Prec@1 41.875 (47.571) Prec@5 77.500 (78.238) Epoch: [47][920/11272] Time 0.863 (0.788) Data 0.002 (0.005) Loss 1.9583 (2.0277) Prec@1 44.375 (47.577) Prec@5 77.500 (78.248) Epoch: [47][930/11272] Time 0.820 (0.788) Data 0.001 (0.005) Loss 2.0077 (2.0278) Prec@1 46.875 (47.554) Prec@5 78.750 (78.247) Epoch: [47][940/11272] Time 0.764 (0.788) Data 0.003 (0.005) Loss 2.0355 (2.0282) Prec@1 46.875 (47.545) Prec@5 77.500 (78.243) Epoch: [47][950/11272] Time 0.744 (0.788) Data 0.001 (0.005) Loss 1.8891 (2.0285) Prec@1 50.625 (47.540) Prec@5 80.625 (78.235) Epoch: [47][960/11272] Time 0.821 (0.788) Data 0.001 (0.005) Loss 2.0185 (2.0291) Prec@1 49.375 (47.514) Prec@5 78.125 (78.226) Epoch: [47][970/11272] Time 0.813 (0.788) Data 0.001 (0.005) Loss 1.9402 (2.0295) Prec@1 50.000 (47.501) Prec@5 80.625 (78.222) Epoch: [47][980/11272] Time 0.723 (0.788) Data 0.001 (0.005) Loss 1.9683 (2.0286) Prec@1 50.625 (47.525) Prec@5 78.750 (78.234) Epoch: [47][990/11272] Time 0.833 (0.788) Data 0.001 (0.005) Loss 2.1365 (2.0291) Prec@1 42.500 (47.512) Prec@5 76.250 (78.225) Epoch: [47][1000/11272] Time 0.818 (0.788) Data 0.001 (0.005) Loss 2.0607 (2.0288) Prec@1 48.125 (47.534) Prec@5 78.750 (78.221) Epoch: [47][1010/11272] Time 0.725 (0.788) Data 0.001 (0.005) Loss 1.9093 (2.0286) Prec@1 48.125 (47.543) Prec@5 77.500 (78.215) Epoch: [47][1020/11272] Time 0.729 (0.788) Data 0.001 (0.005) Loss 1.9432 (2.0288) Prec@1 46.875 (47.553) Prec@5 80.000 (78.208) Epoch: [47][1030/11272] Time 0.833 (0.788) Data 0.001 (0.005) Loss 2.0254 (2.0282) Prec@1 50.000 (47.564) Prec@5 78.125 (78.211) Epoch: [47][1040/11272] Time 0.829 (0.788) Data 0.001 (0.005) Loss 2.2056 (2.0285) Prec@1 43.750 (47.555) Prec@5 78.125 (78.213) Epoch: [47][1050/11272] Time 0.722 (0.788) Data 0.002 (0.005) Loss 2.5019 (2.0289) Prec@1 39.375 (47.551) Prec@5 71.250 (78.211) Epoch: [47][1060/11272] Time 0.733 (0.788) Data 0.001 (0.005) Loss 1.8631 (2.0291) Prec@1 46.875 (47.556) Prec@5 78.125 (78.209) Epoch: [47][1070/11272] Time 0.861 (0.788) Data 0.002 (0.004) Loss 1.8167 (2.0291) Prec@1 51.250 (47.554) Prec@5 81.250 (78.208) Epoch: [47][1080/11272] Time 0.846 (0.788) Data 0.001 (0.004) Loss 2.0574 (2.0289) Prec@1 41.875 (47.554) Prec@5 77.500 (78.210) Epoch: [47][1090/11272] Time 0.733 (0.788) Data 0.001 (0.004) Loss 2.2821 (2.0287) Prec@1 45.000 (47.553) Prec@5 75.625 (78.214) Epoch: [47][1100/11272] Time 0.742 (0.788) Data 0.001 (0.004) Loss 1.8142 (2.0297) Prec@1 51.250 (47.543) Prec@5 78.750 (78.192) Epoch: [47][1110/11272] Time 0.829 (0.788) Data 0.001 (0.004) Loss 1.8703 (2.0294) Prec@1 52.500 (47.548) Prec@5 80.000 (78.203) Epoch: [47][1120/11272] Time 0.729 (0.788) Data 0.003 (0.004) Loss 1.9473 (2.0295) Prec@1 46.875 (47.545) Prec@5 80.000 (78.200) Epoch: [47][1130/11272] Time 0.736 (0.788) Data 0.001 (0.004) Loss 2.0639 (2.0296) Prec@1 50.000 (47.534) Prec@5 75.625 (78.203) Epoch: [47][1140/11272] Time 0.842 (0.788) Data 0.002 (0.004) Loss 2.0591 (2.0300) Prec@1 48.125 (47.528) Prec@5 78.125 (78.201) Epoch: [47][1150/11272] Time 0.873 (0.788) Data 0.002 (0.004) Loss 1.9783 (2.0303) Prec@1 48.125 (47.522) Prec@5 75.000 (78.187) Epoch: [47][1160/11272] Time 0.730 (0.788) Data 0.001 (0.004) Loss 1.8392 (2.0297) Prec@1 53.125 (47.530) Prec@5 80.000 (78.194) Epoch: [47][1170/11272] Time 0.730 (0.788) Data 0.001 (0.004) Loss 2.1068 (2.0297) Prec@1 41.875 (47.521) Prec@5 78.125 (78.186) Epoch: [47][1180/11272] Time 0.825 (0.788) Data 0.001 (0.004) Loss 2.0126 (2.0292) Prec@1 55.000 (47.536) Prec@5 79.375 (78.203) Epoch: [47][1190/11272] Time 0.812 (0.788) Data 0.001 (0.004) Loss 2.0027 (2.0294) Prec@1 48.750 (47.536) Prec@5 77.500 (78.196) Epoch: [47][1200/11272] Time 0.736 (0.788) Data 0.002 (0.004) Loss 1.8106 (2.0292) Prec@1 55.625 (47.538) Prec@5 82.500 (78.201) Epoch: [47][1210/11272] Time 0.729 (0.788) Data 0.001 (0.004) Loss 2.1567 (2.0290) Prec@1 44.375 (47.558) Prec@5 75.000 (78.199) Epoch: [47][1220/11272] Time 0.847 (0.788) Data 0.002 (0.004) Loss 2.0184 (2.0294) Prec@1 51.250 (47.553) Prec@5 76.250 (78.192) Epoch: [47][1230/11272] Time 0.817 (0.787) Data 0.001 (0.004) Loss 2.1473 (2.0292) Prec@1 43.750 (47.554) Prec@5 75.000 (78.200) Epoch: [47][1240/11272] Time 0.729 (0.787) Data 0.002 (0.004) Loss 1.9128 (2.0290) Prec@1 56.875 (47.557) Prec@5 77.500 (78.194) Epoch: [47][1250/11272] Time 0.855 (0.787) Data 0.001 (0.004) Loss 2.1361 (2.0287) Prec@1 48.125 (47.564) Prec@5 78.125 (78.196) Epoch: [47][1260/11272] Time 0.789 (0.787) Data 0.001 (0.004) Loss 1.8516 (2.0288) Prec@1 46.875 (47.563) Prec@5 82.500 (78.201) Epoch: [47][1270/11272] Time 0.727 (0.787) Data 0.001 (0.004) Loss 2.2458 (2.0290) Prec@1 43.125 (47.552) Prec@5 73.750 (78.196) Epoch: [47][1280/11272] Time 0.720 (0.787) Data 0.001 (0.004) Loss 1.9521 (2.0291) Prec@1 47.500 (47.547) Prec@5 77.500 (78.191) Epoch: [47][1290/11272] Time 0.844 (0.787) Data 0.001 (0.004) Loss 2.0768 (2.0294) Prec@1 43.750 (47.539) Prec@5 78.125 (78.185) Epoch: [47][1300/11272] Time 0.877 (0.787) Data 0.001 (0.004) Loss 1.9025 (2.0294) Prec@1 46.875 (47.534) Prec@5 81.250 (78.184) Epoch: [47][1310/11272] Time 0.725 (0.787) Data 0.001 (0.004) Loss 1.9580 (2.0293) Prec@1 47.500 (47.531) Prec@5 85.000 (78.186) Epoch: [47][1320/11272] Time 0.724 (0.787) Data 0.001 (0.004) Loss 2.4310 (2.0300) Prec@1 36.250 (47.507) Prec@5 69.375 (78.171) Epoch: [47][1330/11272] Time 0.856 (0.787) Data 0.001 (0.004) Loss 1.9970 (2.0300) Prec@1 50.625 (47.512) Prec@5 79.375 (78.175) Epoch: [47][1340/11272] Time 0.823 (0.787) Data 0.001 (0.004) Loss 2.0784 (2.0296) Prec@1 46.875 (47.515) Prec@5 76.875 (78.189) Epoch: [47][1350/11272] Time 0.733 (0.787) Data 0.001 (0.004) Loss 1.9722 (2.0291) Prec@1 51.875 (47.528) Prec@5 79.375 (78.197) Epoch: [47][1360/11272] Time 0.728 (0.787) Data 0.001 (0.004) Loss 1.9895 (2.0294) Prec@1 51.250 (47.517) Prec@5 79.375 (78.189) Epoch: [47][1370/11272] Time 0.839 (0.787) Data 0.001 (0.004) Loss 2.1450 (2.0294) Prec@1 43.750 (47.515) Prec@5 77.500 (78.186) Epoch: [47][1380/11272] Time 0.747 (0.787) Data 0.003 (0.004) Loss 1.8985 (2.0292) Prec@1 49.375 (47.517) Prec@5 79.375 (78.193) Epoch: [47][1390/11272] Time 0.728 (0.787) Data 0.002 (0.004) Loss 2.0633 (2.0296) Prec@1 47.500 (47.517) Prec@5 72.500 (78.176) Epoch: [47][1400/11272] Time 0.837 (0.787) Data 0.001 (0.004) Loss 1.9497 (2.0294) Prec@1 48.750 (47.527) Prec@5 80.000 (78.175) Epoch: [47][1410/11272] Time 0.856 (0.787) Data 0.002 (0.004) Loss 2.1338 (2.0288) Prec@1 43.125 (47.537) Prec@5 81.875 (78.191) Epoch: [47][1420/11272] Time 0.733 (0.787) Data 0.001 (0.004) Loss 1.9934 (2.0285) Prec@1 43.750 (47.541) Prec@5 81.875 (78.205) Epoch: [47][1430/11272] Time 0.723 (0.787) Data 0.001 (0.004) Loss 1.9285 (2.0285) Prec@1 49.375 (47.541) Prec@5 80.625 (78.202) Epoch: [47][1440/11272] Time 0.860 (0.788) Data 0.001 (0.004) Loss 1.8779 (2.0285) Prec@1 50.000 (47.543) Prec@5 80.625 (78.200) Epoch: [47][1450/11272] Time 0.820 (0.787) Data 0.001 (0.004) Loss 1.9904 (2.0287) Prec@1 48.125 (47.542) Prec@5 78.750 (78.197) Epoch: [47][1460/11272] Time 0.731 (0.787) Data 0.001 (0.004) Loss 1.7572 (2.0284) Prec@1 46.250 (47.544) Prec@5 86.250 (78.209) Epoch: [47][1470/11272] Time 0.741 (0.787) Data 0.001 (0.004) Loss 1.9401 (2.0277) Prec@1 48.125 (47.556) Prec@5 78.125 (78.216) Epoch: [47][1480/11272] Time 0.822 (0.787) Data 0.001 (0.004) Loss 2.1673 (2.0275) Prec@1 47.500 (47.566) Prec@5 75.000 (78.218) Epoch: [47][1490/11272] Time 0.846 (0.787) Data 0.002 (0.004) Loss 2.1066 (2.0271) Prec@1 46.875 (47.573) Prec@5 74.375 (78.228) Epoch: [47][1500/11272] Time 0.733 (0.787) Data 0.001 (0.004) Loss 1.6695 (2.0271) Prec@1 53.750 (47.567) Prec@5 87.500 (78.232) Epoch: [47][1510/11272] Time 0.903 (0.787) Data 0.001 (0.004) Loss 1.9100 (2.0272) Prec@1 48.125 (47.561) Prec@5 78.750 (78.224) Epoch: [47][1520/11272] Time 0.819 (0.787) Data 0.001 (0.004) Loss 2.0010 (2.0272) Prec@1 50.625 (47.548) Prec@5 80.625 (78.225) Epoch: [47][1530/11272] Time 0.714 (0.787) Data 0.001 (0.004) Loss 1.9030 (2.0272) Prec@1 53.750 (47.552) Prec@5 80.000 (78.223) Epoch: [47][1540/11272] Time 0.725 (0.787) Data 0.001 (0.004) Loss 2.0912 (2.0269) Prec@1 49.375 (47.560) Prec@5 79.375 (78.230) Epoch: [47][1550/11272] Time 0.828 (0.787) Data 0.001 (0.004) Loss 2.1231 (2.0274) Prec@1 45.000 (47.558) Prec@5 77.500 (78.217) Epoch: [47][1560/11272] Time 0.834 (0.787) Data 0.001 (0.004) Loss 1.9226 (2.0271) Prec@1 46.875 (47.566) Prec@5 83.125 (78.220) Epoch: [47][1570/11272] Time 0.721 (0.787) Data 0.001 (0.004) Loss 2.1372 (2.0277) Prec@1 43.750 (47.545) Prec@5 77.500 (78.211) Epoch: [47][1580/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 2.1091 (2.0274) Prec@1 43.125 (47.545) Prec@5 78.750 (78.219) Epoch: [47][1590/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 1.9392 (2.0271) Prec@1 50.625 (47.554) Prec@5 77.500 (78.222) Epoch: [47][1600/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.1814 (2.0274) Prec@1 41.250 (47.545) Prec@5 76.250 (78.222) Epoch: [47][1610/11272] Time 0.726 (0.787) Data 0.001 (0.003) Loss 2.0150 (2.0272) Prec@1 49.375 (47.547) Prec@5 77.500 (78.224) Epoch: [47][1620/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 1.8304 (2.0274) Prec@1 51.250 (47.541) Prec@5 83.125 (78.224) Epoch: [47][1630/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 2.1038 (2.0272) Prec@1 47.500 (47.548) Prec@5 76.250 (78.224) Epoch: [47][1640/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 2.0411 (2.0269) Prec@1 47.500 (47.556) Prec@5 75.625 (78.223) Epoch: [47][1650/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 2.2733 (2.0271) Prec@1 40.000 (47.561) Prec@5 75.000 (78.223) Epoch: [47][1660/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 2.0123 (2.0272) Prec@1 50.000 (47.565) Prec@5 80.625 (78.217) Epoch: [47][1670/11272] Time 0.841 (0.787) Data 0.001 (0.003) Loss 2.1285 (2.0270) Prec@1 44.375 (47.569) Prec@5 78.750 (78.219) Epoch: [47][1680/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 2.1952 (2.0272) Prec@1 45.000 (47.568) Prec@5 80.000 (78.213) Epoch: [47][1690/11272] Time 0.761 (0.787) Data 0.001 (0.003) Loss 1.9188 (2.0274) Prec@1 46.875 (47.561) Prec@5 78.750 (78.212) Epoch: [47][1700/11272] Time 0.861 (0.787) Data 0.001 (0.003) Loss 2.0291 (2.0276) Prec@1 44.375 (47.552) Prec@5 76.250 (78.201) Epoch: [47][1710/11272] Time 0.834 (0.787) Data 0.002 (0.003) Loss 2.2852 (2.0278) Prec@1 43.750 (47.549) Prec@5 74.375 (78.195) Epoch: [47][1720/11272] Time 0.721 (0.787) Data 0.002 (0.003) Loss 1.9148 (2.0277) Prec@1 51.875 (47.557) Prec@5 80.625 (78.197) Epoch: [47][1730/11272] Time 0.730 (0.787) Data 0.001 (0.003) Loss 2.2829 (2.0280) Prec@1 43.125 (47.552) Prec@5 71.875 (78.191) Epoch: [47][1740/11272] Time 0.867 (0.787) Data 0.002 (0.003) Loss 1.9468 (2.0281) Prec@1 47.500 (47.545) Prec@5 81.250 (78.197) Epoch: [47][1750/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 2.2560 (2.0284) Prec@1 43.750 (47.542) Prec@5 68.750 (78.188) Epoch: [47][1760/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.8829 (2.0282) Prec@1 51.250 (47.546) Prec@5 79.375 (78.195) Epoch: [47][1770/11272] Time 0.745 (0.787) Data 0.001 (0.003) Loss 2.0757 (2.0284) Prec@1 46.875 (47.543) Prec@5 77.500 (78.188) Epoch: [47][1780/11272] Time 0.866 (0.787) Data 0.001 (0.003) Loss 2.0707 (2.0285) Prec@1 41.250 (47.539) Prec@5 78.125 (78.183) Epoch: [47][1790/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 2.0390 (2.0294) Prec@1 44.375 (47.522) Prec@5 76.250 (78.168) Epoch: [47][1800/11272] Time 0.717 (0.787) Data 0.001 (0.003) Loss 2.0639 (2.0294) Prec@1 46.875 (47.521) Prec@5 78.750 (78.163) Epoch: [47][1810/11272] Time 0.850 (0.787) Data 0.001 (0.003) Loss 1.9936 (2.0294) Prec@1 50.625 (47.520) Prec@5 81.250 (78.162) Epoch: [47][1820/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 2.0749 (2.0292) Prec@1 45.625 (47.530) Prec@5 78.750 (78.163) Epoch: [47][1830/11272] Time 0.716 (0.787) Data 0.001 (0.003) Loss 1.9700 (2.0288) Prec@1 51.250 (47.540) Prec@5 81.250 (78.162) Epoch: [47][1840/11272] Time 0.744 (0.787) Data 0.002 (0.003) Loss 1.7883 (2.0284) Prec@1 50.625 (47.553) Prec@5 84.375 (78.163) Epoch: [47][1850/11272] Time 0.863 (0.787) Data 0.002 (0.003) Loss 1.8415 (2.0282) Prec@1 50.625 (47.562) Prec@5 82.500 (78.167) Epoch: [47][1860/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.9827 (2.0284) Prec@1 47.500 (47.566) Prec@5 77.500 (78.165) Epoch: [47][1870/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.8539 (2.0283) Prec@1 49.375 (47.561) Prec@5 82.500 (78.166) Epoch: [47][1880/11272] Time 0.766 (0.787) Data 0.002 (0.003) Loss 2.2642 (2.0286) Prec@1 46.875 (47.557) Prec@5 73.750 (78.157) Epoch: [47][1890/11272] Time 0.837 (0.787) Data 0.002 (0.003) Loss 1.9227 (2.0286) Prec@1 50.625 (47.559) Prec@5 79.375 (78.160) Epoch: [47][1900/11272] Time 0.817 (0.787) Data 0.001 (0.003) Loss 2.1383 (2.0283) Prec@1 44.375 (47.567) Prec@5 73.125 (78.162) Epoch: [47][1910/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.9874 (2.0278) Prec@1 46.250 (47.573) Prec@5 80.625 (78.164) Epoch: [47][1920/11272] Time 0.887 (0.787) Data 0.001 (0.003) Loss 1.9463 (2.0280) Prec@1 51.875 (47.567) Prec@5 76.875 (78.164) Epoch: [47][1930/11272] Time 0.891 (0.787) Data 0.001 (0.003) Loss 2.0230 (2.0284) Prec@1 51.250 (47.562) Prec@5 80.000 (78.154) Epoch: [47][1940/11272] Time 0.729 (0.787) Data 0.002 (0.003) Loss 2.0096 (2.0284) Prec@1 41.250 (47.560) Prec@5 83.750 (78.154) Epoch: [47][1950/11272] Time 0.740 (0.787) Data 0.001 (0.003) Loss 1.9988 (2.0284) Prec@1 47.500 (47.566) Prec@5 79.375 (78.154) Epoch: [47][1960/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 1.9097 (2.0283) Prec@1 50.625 (47.567) Prec@5 80.000 (78.154) Epoch: [47][1970/11272] Time 0.846 (0.787) Data 0.001 (0.003) Loss 2.1411 (2.0285) Prec@1 47.500 (47.562) Prec@5 73.750 (78.150) Epoch: [47][1980/11272] Time 0.753 (0.787) Data 0.002 (0.003) Loss 2.1137 (2.0286) Prec@1 42.500 (47.555) Prec@5 76.250 (78.146) Epoch: [47][1990/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 2.0033 (2.0287) Prec@1 45.625 (47.552) Prec@5 80.000 (78.149) Epoch: [47][2000/11272] Time 0.877 (0.787) Data 0.002 (0.003) Loss 1.9653 (2.0286) Prec@1 51.250 (47.551) Prec@5 78.125 (78.151) Epoch: [47][2010/11272] Time 0.808 (0.787) Data 0.001 (0.003) Loss 1.8125 (2.0290) Prec@1 53.750 (47.544) Prec@5 78.125 (78.142) Epoch: [47][2020/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.8885 (2.0289) Prec@1 55.625 (47.551) Prec@5 78.750 (78.139) Epoch: [47][2030/11272] Time 0.738 (0.787) Data 0.001 (0.003) Loss 1.8316 (2.0287) Prec@1 51.250 (47.559) Prec@5 83.125 (78.149) Epoch: [47][2040/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.9819 (2.0289) Prec@1 49.375 (47.556) Prec@5 80.000 (78.148) Epoch: [47][2050/11272] Time 0.750 (0.787) Data 0.004 (0.003) Loss 2.0501 (2.0294) Prec@1 47.500 (47.549) Prec@5 78.125 (78.144) Epoch: [47][2060/11272] Time 0.771 (0.787) Data 0.002 (0.003) Loss 2.0750 (2.0291) Prec@1 46.250 (47.562) Prec@5 78.125 (78.146) Epoch: [47][2070/11272] Time 0.842 (0.787) Data 0.001 (0.003) Loss 1.9456 (2.0288) Prec@1 45.000 (47.564) Prec@5 81.250 (78.154) Epoch: [47][2080/11272] Time 0.846 (0.787) Data 0.001 (0.003) Loss 2.1141 (2.0289) Prec@1 40.000 (47.560) Prec@5 78.125 (78.149) Epoch: [47][2090/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.9723 (2.0289) Prec@1 48.750 (47.565) Prec@5 80.000 (78.151) Epoch: [47][2100/11272] Time 0.750 (0.787) Data 0.001 (0.003) Loss 2.0607 (2.0292) Prec@1 48.750 (47.562) Prec@5 78.750 (78.146) Epoch: [47][2110/11272] Time 0.854 (0.787) Data 0.001 (0.003) Loss 2.3806 (2.0296) Prec@1 40.000 (47.549) Prec@5 73.750 (78.136) Epoch: [47][2120/11272] Time 0.824 (0.787) Data 0.001 (0.003) Loss 2.1002 (2.0300) Prec@1 47.500 (47.537) Prec@5 78.750 (78.130) Epoch: [47][2130/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 2.0160 (2.0298) Prec@1 50.625 (47.547) Prec@5 78.750 (78.133) Epoch: [47][2140/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.9702 (2.0297) Prec@1 50.000 (47.560) Prec@5 76.875 (78.130) Epoch: [47][2150/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 2.1973 (2.0298) Prec@1 43.750 (47.559) Prec@5 77.500 (78.127) Epoch: [47][2160/11272] Time 0.844 (0.787) Data 0.001 (0.003) Loss 2.1535 (2.0298) Prec@1 43.750 (47.554) Prec@5 76.250 (78.127) Epoch: [47][2170/11272] Time 0.754 (0.787) Data 0.001 (0.003) Loss 2.2076 (2.0299) Prec@1 46.250 (47.559) Prec@5 73.125 (78.125) Epoch: [47][2180/11272] Time 0.911 (0.787) Data 0.001 (0.003) Loss 2.1161 (2.0299) Prec@1 42.500 (47.555) Prec@5 78.125 (78.127) Epoch: [47][2190/11272] Time 0.843 (0.787) Data 0.001 (0.003) Loss 1.8835 (2.0302) Prec@1 47.500 (47.543) Prec@5 80.625 (78.120) Epoch: [47][2200/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 2.0581 (2.0305) Prec@1 45.000 (47.542) Prec@5 74.375 (78.111) Epoch: [47][2210/11272] Time 0.733 (0.787) Data 0.001 (0.003) Loss 1.9038 (2.0302) Prec@1 49.375 (47.547) Prec@5 84.375 (78.116) Epoch: [47][2220/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 2.2435 (2.0306) Prec@1 43.750 (47.539) Prec@5 75.000 (78.111) Epoch: [47][2230/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 1.8109 (2.0306) Prec@1 53.750 (47.540) Prec@5 81.875 (78.112) Epoch: [47][2240/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.8305 (2.0302) Prec@1 50.625 (47.545) Prec@5 81.875 (78.117) Epoch: [47][2250/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 2.3453 (2.0309) Prec@1 43.125 (47.533) Prec@5 73.125 (78.108) Epoch: [47][2260/11272] Time 0.832 (0.787) Data 0.001 (0.003) Loss 2.0276 (2.0307) Prec@1 46.875 (47.536) Prec@5 76.250 (78.114) Epoch: [47][2270/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 2.2635 (2.0308) Prec@1 43.750 (47.537) Prec@5 73.125 (78.110) Epoch: [47][2280/11272] Time 0.729 (0.787) Data 0.002 (0.003) Loss 2.0938 (2.0307) Prec@1 47.500 (47.537) Prec@5 74.375 (78.113) Epoch: [47][2290/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 2.0044 (2.0307) Prec@1 50.000 (47.541) Prec@5 75.625 (78.108) Epoch: [47][2300/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 2.0042 (2.0309) Prec@1 51.250 (47.535) Prec@5 76.875 (78.104) Epoch: [47][2310/11272] Time 0.728 (0.787) Data 0.003 (0.003) Loss 2.3437 (2.0309) Prec@1 38.750 (47.537) Prec@5 73.125 (78.106) Epoch: [47][2320/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 2.1874 (2.0308) Prec@1 47.500 (47.545) Prec@5 75.000 (78.102) Epoch: [47][2330/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.7641 (2.0308) Prec@1 48.750 (47.547) Prec@5 85.000 (78.100) Epoch: [47][2340/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 2.3065 (2.0309) Prec@1 41.875 (47.549) Prec@5 78.750 (78.101) Epoch: [47][2350/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 1.9625 (2.0311) Prec@1 46.875 (47.544) Prec@5 79.375 (78.095) Epoch: [47][2360/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 1.8673 (2.0312) Prec@1 51.250 (47.537) Prec@5 82.500 (78.098) Epoch: [47][2370/11272] Time 0.846 (0.787) Data 0.001 (0.003) Loss 1.8910 (2.0313) Prec@1 50.625 (47.535) Prec@5 80.625 (78.097) Epoch: [47][2380/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 2.0265 (2.0315) Prec@1 50.000 (47.532) Prec@5 77.500 (78.092) Epoch: [47][2390/11272] Time 0.722 (0.787) Data 0.001 (0.003) Loss 2.1834 (2.0317) Prec@1 48.125 (47.537) Prec@5 75.000 (78.088) Epoch: [47][2400/11272] Time 0.712 (0.787) Data 0.001 (0.003) Loss 2.0099 (2.0316) Prec@1 49.375 (47.537) Prec@5 78.125 (78.090) Epoch: [47][2410/11272] Time 0.819 (0.787) Data 0.001 (0.003) Loss 2.0971 (2.0319) Prec@1 47.500 (47.535) Prec@5 78.125 (78.087) Epoch: [47][2420/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.1368 (2.0318) Prec@1 43.125 (47.539) Prec@5 75.625 (78.087) Epoch: [47][2430/11272] Time 0.740 (0.787) Data 0.002 (0.003) Loss 1.8594 (2.0317) Prec@1 51.875 (47.538) Prec@5 78.125 (78.088) Epoch: [47][2440/11272] Time 0.817 (0.787) Data 0.001 (0.003) Loss 2.2035 (2.0317) Prec@1 49.375 (47.543) Prec@5 73.750 (78.088) Epoch: [47][2450/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 2.2315 (2.0317) Prec@1 43.125 (47.541) Prec@5 75.625 (78.092) Epoch: [47][2460/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.9829 (2.0318) Prec@1 48.125 (47.539) Prec@5 80.625 (78.091) Epoch: [47][2470/11272] Time 0.741 (0.787) Data 0.001 (0.003) Loss 2.1624 (2.0319) Prec@1 45.625 (47.535) Prec@5 76.250 (78.093) Epoch: [47][2480/11272] Time 0.809 (0.787) Data 0.001 (0.003) Loss 2.0935 (2.0321) Prec@1 49.375 (47.534) Prec@5 77.500 (78.089) Epoch: [47][2490/11272] Time 0.803 (0.787) Data 0.001 (0.003) Loss 1.8169 (2.0323) Prec@1 52.500 (47.534) Prec@5 83.750 (78.085) Epoch: [47][2500/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 1.7927 (2.0316) Prec@1 50.000 (47.548) Prec@5 81.250 (78.094) Epoch: [47][2510/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.7164 (2.0313) Prec@1 56.250 (47.554) Prec@5 83.125 (78.101) Epoch: [47][2520/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 1.9151 (2.0314) Prec@1 49.375 (47.548) Prec@5 78.750 (78.099) Epoch: [47][2530/11272] Time 0.862 (0.787) Data 0.001 (0.003) Loss 2.0209 (2.0314) Prec@1 42.500 (47.539) Prec@5 77.500 (78.099) Epoch: [47][2540/11272] Time 0.721 (0.787) Data 0.003 (0.003) Loss 2.1657 (2.0316) Prec@1 44.375 (47.541) Prec@5 74.375 (78.090) Epoch: [47][2550/11272] Time 0.722 (0.787) Data 0.002 (0.003) Loss 2.1175 (2.0316) Prec@1 44.375 (47.544) Prec@5 73.750 (78.091) Epoch: [47][2560/11272] Time 0.844 (0.787) Data 0.001 (0.003) Loss 2.0552 (2.0316) Prec@1 42.500 (47.541) Prec@5 76.250 (78.097) Epoch: [47][2570/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 2.4105 (2.0316) Prec@1 37.500 (47.545) Prec@5 73.125 (78.097) Epoch: [47][2580/11272] Time 0.742 (0.787) Data 0.001 (0.003) Loss 2.0827 (2.0318) Prec@1 45.625 (47.551) Prec@5 80.000 (78.098) Epoch: [47][2590/11272] Time 0.837 (0.787) Data 0.001 (0.003) Loss 2.2190 (2.0317) Prec@1 44.375 (47.558) Prec@5 76.875 (78.097) Epoch: [47][2600/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 2.1443 (2.0316) Prec@1 44.375 (47.556) Prec@5 75.000 (78.097) Epoch: [47][2610/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 2.0114 (2.0319) Prec@1 47.500 (47.553) Prec@5 75.625 (78.095) Epoch: [47][2620/11272] Time 0.774 (0.787) Data 0.001 (0.003) Loss 2.4124 (2.0321) Prec@1 44.375 (47.553) Prec@5 70.000 (78.090) Epoch: [47][2630/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 1.9697 (2.0321) Prec@1 51.875 (47.553) Prec@5 77.500 (78.094) Epoch: [47][2640/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.9644 (2.0321) Prec@1 51.875 (47.552) Prec@5 74.375 (78.093) Epoch: [47][2650/11272] Time 0.755 (0.787) Data 0.002 (0.003) Loss 2.1849 (2.0321) Prec@1 42.500 (47.549) Prec@5 78.750 (78.097) Epoch: [47][2660/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 2.2229 (2.0322) Prec@1 43.750 (47.541) Prec@5 72.500 (78.097) Epoch: [47][2670/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 1.9884 (2.0325) Prec@1 45.000 (47.536) Prec@5 75.625 (78.092) Epoch: [47][2680/11272] Time 0.798 (0.787) Data 0.001 (0.003) Loss 2.0322 (2.0327) Prec@1 46.875 (47.529) Prec@5 75.000 (78.085) Epoch: [47][2690/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 2.0677 (2.0326) Prec@1 50.000 (47.534) Prec@5 76.250 (78.084) Epoch: [47][2700/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 2.0111 (2.0323) Prec@1 48.125 (47.547) Prec@5 80.625 (78.092) Epoch: [47][2710/11272] Time 0.837 (0.787) Data 0.001 (0.003) Loss 2.0309 (2.0324) Prec@1 46.875 (47.539) Prec@5 81.250 (78.088) Epoch: [47][2720/11272] Time 0.742 (0.787) Data 0.002 (0.003) Loss 2.0423 (2.0325) Prec@1 44.375 (47.537) Prec@5 77.500 (78.092) Epoch: [47][2730/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 2.0425 (2.0324) Prec@1 48.125 (47.538) Prec@5 76.250 (78.098) Epoch: [47][2740/11272] Time 0.864 (0.787) Data 0.002 (0.003) Loss 1.9501 (2.0322) Prec@1 50.000 (47.542) Prec@5 78.125 (78.103) Epoch: [47][2750/11272] Time 0.898 (0.787) Data 0.002 (0.003) Loss 1.9508 (2.0320) Prec@1 51.250 (47.546) Prec@5 80.000 (78.107) Epoch: [47][2760/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.8519 (2.0318) Prec@1 51.875 (47.556) Prec@5 81.250 (78.109) Epoch: [47][2770/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 2.1772 (2.0317) Prec@1 45.625 (47.559) Prec@5 73.750 (78.110) Epoch: [47][2780/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 2.1097 (2.0318) Prec@1 46.250 (47.552) Prec@5 78.750 (78.110) Epoch: [47][2790/11272] Time 0.842 (0.787) Data 0.001 (0.003) Loss 1.9179 (2.0318) Prec@1 53.750 (47.554) Prec@5 80.000 (78.111) Epoch: [47][2800/11272] Time 0.766 (0.787) Data 0.001 (0.003) Loss 2.0105 (2.0317) Prec@1 48.750 (47.557) Prec@5 74.375 (78.112) Epoch: [47][2810/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 2.0226 (2.0319) Prec@1 51.875 (47.560) Prec@5 75.625 (78.113) Epoch: [47][2820/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 2.1967 (2.0318) Prec@1 50.625 (47.561) Prec@5 70.625 (78.115) Epoch: [47][2830/11272] Time 0.864 (0.787) Data 0.001 (0.003) Loss 2.0633 (2.0320) Prec@1 39.375 (47.552) Prec@5 82.500 (78.112) Epoch: [47][2840/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 2.2096 (2.0320) Prec@1 46.250 (47.554) Prec@5 75.000 (78.111) Epoch: [47][2850/11272] Time 0.820 (0.787) Data 0.001 (0.003) Loss 1.8713 (2.0318) Prec@1 49.375 (47.557) Prec@5 83.750 (78.120) Epoch: [47][2860/11272] Time 0.828 (0.787) Data 0.001 (0.003) Loss 2.5454 (2.0317) Prec@1 40.000 (47.558) Prec@5 68.750 (78.123) Epoch: [47][2870/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 2.0046 (2.0320) Prec@1 43.750 (47.550) Prec@5 80.625 (78.119) Epoch: [47][2880/11272] Time 0.701 (0.787) Data 0.001 (0.003) Loss 1.9655 (2.0318) Prec@1 46.875 (47.555) Prec@5 78.125 (78.124) Epoch: [47][2890/11272] Time 0.850 (0.787) Data 0.001 (0.003) Loss 2.1799 (2.0319) Prec@1 48.750 (47.552) Prec@5 74.375 (78.123) Epoch: [47][2900/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.0618 (2.0317) Prec@1 44.375 (47.556) Prec@5 76.250 (78.123) Epoch: [47][2910/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 1.8522 (2.0317) Prec@1 51.875 (47.558) Prec@5 80.000 (78.120) Epoch: [47][2920/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 1.9735 (2.0317) Prec@1 46.875 (47.561) Prec@5 80.000 (78.119) Epoch: [47][2930/11272] Time 0.889 (0.787) Data 0.002 (0.003) Loss 2.0316 (2.0316) Prec@1 47.500 (47.561) Prec@5 78.125 (78.118) Epoch: [47][2940/11272] Time 0.817 (0.787) Data 0.001 (0.003) Loss 1.7214 (2.0318) Prec@1 51.250 (47.556) Prec@5 85.000 (78.117) Epoch: [47][2950/11272] Time 0.730 (0.787) Data 0.001 (0.003) Loss 1.9927 (2.0318) Prec@1 51.875 (47.551) Prec@5 76.875 (78.114) Epoch: [47][2960/11272] Time 0.746 (0.787) Data 0.001 (0.003) Loss 2.0111 (2.0317) Prec@1 51.250 (47.560) Prec@5 77.500 (78.113) Epoch: [47][2970/11272] Time 0.793 (0.787) Data 0.001 (0.003) Loss 1.8903 (2.0317) Prec@1 49.375 (47.559) Prec@5 81.875 (78.114) Epoch: [47][2980/11272] Time 0.738 (0.787) Data 0.003 (0.003) Loss 2.0388 (2.0317) Prec@1 50.000 (47.562) Prec@5 77.500 (78.119) Epoch: [47][2990/11272] Time 0.734 (0.787) Data 0.001 (0.003) Loss 1.9664 (2.0316) Prec@1 45.000 (47.562) Prec@5 78.125 (78.119) Epoch: [47][3000/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 2.3661 (2.0319) Prec@1 38.125 (47.555) Prec@5 70.000 (78.113) Epoch: [47][3010/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 2.3812 (2.0318) Prec@1 38.125 (47.558) Prec@5 70.625 (78.114) Epoch: [47][3020/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 2.3919 (2.0317) Prec@1 40.000 (47.561) Prec@5 66.250 (78.112) Epoch: [47][3030/11272] Time 0.742 (0.787) Data 0.002 (0.003) Loss 2.0942 (2.0317) Prec@1 50.625 (47.559) Prec@5 76.875 (78.110) Epoch: [47][3040/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 1.9792 (2.0315) Prec@1 55.000 (47.568) Prec@5 76.875 (78.114) Epoch: [47][3050/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 2.3082 (2.0317) Prec@1 43.750 (47.566) Prec@5 74.375 (78.110) Epoch: [47][3060/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 1.9837 (2.0316) Prec@1 50.625 (47.568) Prec@5 75.625 (78.108) Epoch: [47][3070/11272] Time 0.767 (0.787) Data 0.001 (0.002) Loss 1.9087 (2.0317) Prec@1 46.250 (47.564) Prec@5 81.875 (78.108) Epoch: [47][3080/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 2.2535 (2.0319) Prec@1 43.750 (47.563) Prec@5 71.875 (78.106) Epoch: [47][3090/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.9654 (2.0319) Prec@1 45.625 (47.562) Prec@5 79.375 (78.110) Epoch: [47][3100/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.1494 (2.0320) Prec@1 45.000 (47.563) Prec@5 76.875 (78.105) Epoch: [47][3110/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.0777 (2.0320) Prec@1 50.000 (47.567) Prec@5 78.750 (78.103) Epoch: [47][3120/11272] Time 0.808 (0.787) Data 0.002 (0.002) Loss 2.0953 (2.0324) Prec@1 39.375 (47.558) Prec@5 77.500 (78.095) Epoch: [47][3130/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.3394 (2.0327) Prec@1 40.625 (47.551) Prec@5 70.625 (78.087) Epoch: [47][3140/11272] Time 0.760 (0.787) Data 0.002 (0.002) Loss 2.2807 (2.0329) Prec@1 43.750 (47.549) Prec@5 73.125 (78.086) Epoch: [47][3150/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 2.0646 (2.0329) Prec@1 47.500 (47.549) Prec@5 76.875 (78.088) Epoch: [47][3160/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 2.1125 (2.0326) Prec@1 51.875 (47.556) Prec@5 78.125 (78.091) Epoch: [47][3170/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.8130 (2.0325) Prec@1 50.625 (47.560) Prec@5 82.500 (78.093) Epoch: [47][3180/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.9181 (2.0324) Prec@1 55.000 (47.562) Prec@5 79.375 (78.096) Epoch: [47][3190/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 2.0922 (2.0325) Prec@1 48.750 (47.566) Prec@5 76.875 (78.098) Epoch: [47][3200/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 2.1261 (2.0324) Prec@1 45.000 (47.565) Prec@5 77.500 (78.101) Epoch: [47][3210/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0568 (2.0325) Prec@1 47.500 (47.568) Prec@5 77.500 (78.100) Epoch: [47][3220/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0348 (2.0324) Prec@1 47.500 (47.572) Prec@5 76.250 (78.102) Epoch: [47][3230/11272] Time 0.855 (0.787) Data 0.001 (0.002) Loss 1.8783 (2.0324) Prec@1 51.250 (47.574) Prec@5 79.375 (78.105) Epoch: [47][3240/11272] Time 0.730 (0.787) Data 0.003 (0.002) Loss 2.1591 (2.0325) Prec@1 44.375 (47.572) Prec@5 78.125 (78.101) Epoch: [47][3250/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.9314 (2.0327) Prec@1 46.875 (47.565) Prec@5 77.500 (78.099) Epoch: [47][3260/11272] Time 0.854 (0.787) Data 0.001 (0.002) Loss 1.9880 (2.0327) Prec@1 51.250 (47.566) Prec@5 78.125 (78.095) Epoch: [47][3270/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.2572 (2.0328) Prec@1 41.250 (47.566) Prec@5 77.500 (78.093) Epoch: [47][3280/11272] Time 0.700 (0.787) Data 0.001 (0.002) Loss 2.0310 (2.0326) Prec@1 50.000 (47.570) Prec@5 77.500 (78.096) Epoch: [47][3290/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.0586 (2.0325) Prec@1 49.375 (47.573) Prec@5 76.250 (78.097) Epoch: [47][3300/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.8790 (2.0325) Prec@1 47.500 (47.570) Prec@5 81.250 (78.099) Epoch: [47][3310/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 2.0162 (2.0325) Prec@1 51.250 (47.570) Prec@5 79.375 (78.101) Epoch: [47][3320/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.0047 (2.0325) Prec@1 46.250 (47.565) Prec@5 80.000 (78.102) Epoch: [47][3330/11272] Time 0.746 (0.787) Data 0.001 (0.002) Loss 2.0255 (2.0325) Prec@1 48.125 (47.568) Prec@5 80.625 (78.102) Epoch: [47][3340/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 2.2468 (2.0326) Prec@1 51.250 (47.568) Prec@5 75.000 (78.101) Epoch: [47][3350/11272] Time 0.868 (0.787) Data 0.001 (0.002) Loss 1.8469 (2.0327) Prec@1 51.250 (47.568) Prec@5 80.625 (78.097) Epoch: [47][3360/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.9056 (2.0326) Prec@1 46.250 (47.564) Prec@5 80.625 (78.095) Epoch: [47][3370/11272] Time 0.876 (0.787) Data 0.001 (0.002) Loss 2.1232 (2.0325) Prec@1 46.875 (47.563) Prec@5 75.000 (78.096) Epoch: [47][3380/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 2.2057 (2.0325) Prec@1 41.250 (47.564) Prec@5 73.125 (78.094) Epoch: [47][3390/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.0363 (2.0326) Prec@1 46.250 (47.564) Prec@5 78.125 (78.091) Epoch: [47][3400/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 2.0041 (2.0326) Prec@1 49.375 (47.563) Prec@5 79.375 (78.094) Epoch: [47][3410/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 2.1662 (2.0327) Prec@1 49.375 (47.560) Prec@5 75.000 (78.091) Epoch: [47][3420/11272] Time 0.876 (0.787) Data 0.002 (0.002) Loss 2.0574 (2.0327) Prec@1 46.250 (47.560) Prec@5 77.500 (78.092) Epoch: [47][3430/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.1821 (2.0327) Prec@1 43.750 (47.558) Prec@5 75.000 (78.094) Epoch: [47][3440/11272] Time 0.757 (0.787) Data 0.001 (0.002) Loss 2.0815 (2.0327) Prec@1 45.000 (47.556) Prec@5 78.125 (78.092) Epoch: [47][3450/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 2.0920 (2.0328) Prec@1 48.125 (47.556) Prec@5 76.875 (78.089) Epoch: [47][3460/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 2.1059 (2.0329) Prec@1 49.375 (47.556) Prec@5 75.000 (78.085) Epoch: [47][3470/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.0695 (2.0330) Prec@1 46.250 (47.557) Prec@5 76.250 (78.083) Epoch: [47][3480/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.4819 (2.0331) Prec@1 37.500 (47.553) Prec@5 70.625 (78.082) Epoch: [47][3490/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 1.9264 (2.0331) Prec@1 51.875 (47.555) Prec@5 83.750 (78.082) Epoch: [47][3500/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.0608 (2.0331) Prec@1 51.875 (47.556) Prec@5 77.500 (78.081) Epoch: [47][3510/11272] Time 0.785 (0.787) Data 0.002 (0.002) Loss 2.3405 (2.0333) Prec@1 43.125 (47.555) Prec@5 75.000 (78.074) Epoch: [47][3520/11272] Time 0.872 (0.787) Data 0.001 (0.002) Loss 1.7991 (2.0334) Prec@1 46.875 (47.553) Prec@5 78.750 (78.071) Epoch: [47][3530/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.8091 (2.0334) Prec@1 51.875 (47.552) Prec@5 81.250 (78.068) Epoch: [47][3540/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.9356 (2.0335) Prec@1 48.750 (47.549) Prec@5 84.375 (78.064) Epoch: [47][3550/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.1861 (2.0337) Prec@1 40.625 (47.543) Prec@5 75.625 (78.059) Epoch: [47][3560/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.6950 (2.0334) Prec@1 55.000 (47.546) Prec@5 82.500 (78.065) Epoch: [47][3570/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.2421 (2.0333) Prec@1 41.875 (47.550) Prec@5 68.750 (78.061) Epoch: [47][3580/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.2466 (2.0336) Prec@1 45.625 (47.547) Prec@5 70.000 (78.057) Epoch: [47][3590/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 2.3561 (2.0338) Prec@1 38.750 (47.540) Prec@5 74.375 (78.054) Epoch: [47][3600/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0385 (2.0338) Prec@1 45.000 (47.537) Prec@5 78.750 (78.055) Epoch: [47][3610/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 2.1372 (2.0337) Prec@1 44.375 (47.541) Prec@5 73.750 (78.057) Epoch: [47][3620/11272] Time 0.753 (0.787) Data 0.003 (0.002) Loss 2.2023 (2.0339) Prec@1 43.750 (47.536) Prec@5 75.000 (78.056) Epoch: [47][3630/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9296 (2.0338) Prec@1 47.500 (47.534) Prec@5 81.250 (78.054) Epoch: [47][3640/11272] Time 0.880 (0.787) Data 0.002 (0.002) Loss 2.1484 (2.0338) Prec@1 46.875 (47.535) Prec@5 77.500 (78.054) Epoch: [47][3650/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.0651 (2.0339) Prec@1 43.750 (47.537) Prec@5 76.250 (78.053) Epoch: [47][3660/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.9794 (2.0338) Prec@1 45.000 (47.534) Prec@5 80.000 (78.056) Epoch: [47][3670/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 2.0763 (2.0339) Prec@1 43.125 (47.530) Prec@5 76.250 (78.054) Epoch: [47][3680/11272] Time 0.873 (0.787) Data 0.002 (0.002) Loss 2.2011 (2.0339) Prec@1 44.375 (47.529) Prec@5 74.375 (78.054) Epoch: [47][3690/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 1.8193 (2.0337) Prec@1 54.375 (47.530) Prec@5 83.750 (78.058) Epoch: [47][3700/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.9473 (2.0337) Prec@1 47.500 (47.530) Prec@5 78.750 (78.056) Epoch: [47][3710/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9853 (2.0339) Prec@1 43.750 (47.527) Prec@5 77.500 (78.056) Epoch: [47][3720/11272] Time 0.850 (0.787) Data 0.002 (0.002) Loss 2.1776 (2.0339) Prec@1 44.375 (47.529) Prec@5 78.750 (78.056) Epoch: [47][3730/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.8451 (2.0338) Prec@1 48.750 (47.532) Prec@5 82.500 (78.063) Epoch: [47][3740/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.0428 (2.0337) Prec@1 46.875 (47.535) Prec@5 78.750 (78.066) Epoch: [47][3750/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.7871 (2.0335) Prec@1 51.250 (47.537) Prec@5 80.625 (78.067) Epoch: [47][3760/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 1.9615 (2.0335) Prec@1 46.250 (47.535) Prec@5 80.625 (78.071) Epoch: [47][3770/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 1.9001 (2.0334) Prec@1 51.250 (47.541) Prec@5 79.375 (78.075) Epoch: [47][3780/11272] Time 0.864 (0.787) Data 0.001 (0.002) Loss 2.0041 (2.0333) Prec@1 43.125 (47.540) Prec@5 78.750 (78.082) Epoch: [47][3790/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.7706 (2.0333) Prec@1 55.000 (47.541) Prec@5 81.250 (78.080) Epoch: [47][3800/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.0005 (2.0333) Prec@1 48.125 (47.541) Prec@5 76.875 (78.078) Epoch: [47][3810/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.2695 (2.0334) Prec@1 42.500 (47.543) Prec@5 73.750 (78.078) Epoch: [47][3820/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.1062 (2.0333) Prec@1 43.750 (47.542) Prec@5 74.375 (78.078) Epoch: [47][3830/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 1.8874 (2.0334) Prec@1 50.625 (47.539) Prec@5 81.250 (78.076) Epoch: [47][3840/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.1254 (2.0334) Prec@1 43.125 (47.543) Prec@5 76.250 (78.074) Epoch: [47][3850/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.0870 (2.0335) Prec@1 45.000 (47.540) Prec@5 77.500 (78.070) Epoch: [47][3860/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.1157 (2.0335) Prec@1 41.875 (47.540) Prec@5 74.375 (78.068) Epoch: [47][3870/11272] Time 0.812 (0.787) Data 0.002 (0.002) Loss 1.9894 (2.0334) Prec@1 48.750 (47.539) Prec@5 75.000 (78.070) Epoch: [47][3880/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 2.1727 (2.0334) Prec@1 46.875 (47.536) Prec@5 75.625 (78.071) Epoch: [47][3890/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 2.0161 (2.0336) Prec@1 43.750 (47.533) Prec@5 85.000 (78.072) Epoch: [47][3900/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 2.0792 (2.0336) Prec@1 48.125 (47.534) Prec@5 78.750 (78.074) Epoch: [47][3910/11272] Time 0.738 (0.787) Data 0.003 (0.002) Loss 1.9450 (2.0335) Prec@1 42.500 (47.532) Prec@5 81.875 (78.078) Epoch: [47][3920/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 2.0044 (2.0335) Prec@1 49.375 (47.536) Prec@5 79.375 (78.076) Epoch: [47][3930/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 2.2605 (2.0335) Prec@1 39.375 (47.535) Prec@5 76.250 (78.078) Epoch: [47][3940/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.0081 (2.0335) Prec@1 51.250 (47.537) Prec@5 81.250 (78.080) Epoch: [47][3950/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 2.0622 (2.0335) Prec@1 48.750 (47.538) Prec@5 77.500 (78.079) Epoch: [47][3960/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 2.0508 (2.0336) Prec@1 46.250 (47.535) Prec@5 77.500 (78.080) Epoch: [47][3970/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.9616 (2.0336) Prec@1 51.250 (47.537) Prec@5 77.500 (78.077) Epoch: [47][3980/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 2.1986 (2.0337) Prec@1 49.375 (47.538) Prec@5 73.125 (78.077) Epoch: [47][3990/11272] Time 0.762 (0.787) Data 0.001 (0.002) Loss 1.9436 (2.0340) Prec@1 46.250 (47.529) Prec@5 79.375 (78.072) Epoch: [47][4000/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 2.2821 (2.0341) Prec@1 41.250 (47.524) Prec@5 75.000 (78.071) Epoch: [47][4010/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 2.0391 (2.0341) Prec@1 48.750 (47.522) Prec@5 76.250 (78.070) Epoch: [47][4020/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 2.3539 (2.0343) Prec@1 38.750 (47.517) Prec@5 78.125 (78.066) Epoch: [47][4030/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.9928 (2.0340) Prec@1 49.375 (47.520) Prec@5 77.500 (78.072) Epoch: [47][4040/11272] Time 0.881 (0.787) Data 0.001 (0.002) Loss 2.0059 (2.0340) Prec@1 45.000 (47.518) Prec@5 79.375 (78.069) Epoch: [47][4050/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.1153 (2.0341) Prec@1 45.000 (47.518) Prec@5 80.000 (78.069) Epoch: [47][4060/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 2.0418 (2.0341) Prec@1 50.625 (47.520) Prec@5 80.625 (78.069) Epoch: [47][4070/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 1.9430 (2.0342) Prec@1 46.875 (47.518) Prec@5 76.875 (78.067) Epoch: [47][4080/11272] Time 0.848 (0.787) Data 0.001 (0.002) Loss 1.9476 (2.0342) Prec@1 52.500 (47.514) Prec@5 76.250 (78.065) Epoch: [47][4090/11272] Time 0.811 (0.787) Data 0.001 (0.002) Loss 1.9559 (2.0343) Prec@1 49.375 (47.516) Prec@5 78.750 (78.063) Epoch: [47][4100/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.9632 (2.0343) Prec@1 46.875 (47.519) Prec@5 82.500 (78.062) Epoch: [47][4110/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.0672 (2.0344) Prec@1 47.500 (47.516) Prec@5 76.250 (78.057) Epoch: [47][4120/11272] Time 0.876 (0.787) Data 0.002 (0.002) Loss 2.1769 (2.0345) Prec@1 43.125 (47.511) Prec@5 78.125 (78.055) Epoch: [47][4130/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.8083 (2.0345) Prec@1 54.375 (47.514) Prec@5 82.500 (78.059) Epoch: [47][4140/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.9178 (2.0345) Prec@1 48.750 (47.516) Prec@5 81.250 (78.059) Epoch: [47][4150/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 1.9909 (2.0344) Prec@1 46.875 (47.517) Prec@5 75.000 (78.058) Epoch: [47][4160/11272] Time 0.815 (0.787) Data 0.001 (0.002) Loss 1.9379 (2.0344) Prec@1 51.875 (47.516) Prec@5 78.750 (78.054) Epoch: [47][4170/11272] Time 0.730 (0.787) Data 0.003 (0.002) Loss 2.2002 (2.0345) Prec@1 42.500 (47.514) Prec@5 75.625 (78.055) Epoch: [47][4180/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.0835 (2.0345) Prec@1 43.750 (47.515) Prec@5 80.000 (78.056) Epoch: [47][4190/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.9961 (2.0346) Prec@1 50.000 (47.511) Prec@5 80.000 (78.055) Epoch: [47][4200/11272] Time 0.860 (0.787) Data 0.001 (0.002) Loss 1.9560 (2.0345) Prec@1 48.125 (47.512) Prec@5 83.750 (78.056) Epoch: [47][4210/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 2.0080 (2.0345) Prec@1 46.250 (47.511) Prec@5 78.750 (78.055) Epoch: [47][4220/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.0731 (2.0344) Prec@1 53.750 (47.517) Prec@5 74.375 (78.054) Epoch: [47][4230/11272] Time 0.799 (0.787) Data 0.001 (0.002) Loss 1.8145 (2.0342) Prec@1 54.375 (47.520) Prec@5 80.000 (78.057) Epoch: [47][4240/11272] Time 0.848 (0.787) Data 0.001 (0.002) Loss 1.9377 (2.0342) Prec@1 53.125 (47.520) Prec@5 81.875 (78.059) Epoch: [47][4250/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 2.2417 (2.0344) Prec@1 45.000 (47.517) Prec@5 76.250 (78.055) Epoch: [47][4260/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.2872 (2.0345) Prec@1 44.375 (47.516) Prec@5 72.500 (78.051) Epoch: [47][4270/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 2.1805 (2.0345) Prec@1 47.500 (47.515) Prec@5 75.625 (78.049) Epoch: [47][4280/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 2.0518 (2.0345) Prec@1 51.250 (47.514) Prec@5 77.500 (78.049) Epoch: [47][4290/11272] Time 0.755 (0.787) Data 0.001 (0.002) Loss 1.9151 (2.0344) Prec@1 46.875 (47.516) Prec@5 82.500 (78.052) Epoch: [47][4300/11272] Time 0.858 (0.787) Data 0.001 (0.002) Loss 2.1392 (2.0345) Prec@1 45.625 (47.517) Prec@5 75.625 (78.050) Epoch: [47][4310/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 2.0455 (2.0345) Prec@1 45.625 (47.514) Prec@5 77.500 (78.049) Epoch: [47][4320/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.9969 (2.0347) Prec@1 51.875 (47.514) Prec@5 78.125 (78.042) Epoch: [47][4330/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.1414 (2.0347) Prec@1 46.875 (47.511) Prec@5 77.500 (78.043) Epoch: [47][4340/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 2.1356 (2.0347) Prec@1 49.375 (47.512) Prec@5 74.375 (78.041) Epoch: [47][4350/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 2.0215 (2.0346) Prec@1 52.500 (47.512) Prec@5 78.125 (78.042) Epoch: [47][4360/11272] Time 0.698 (0.787) Data 0.001 (0.002) Loss 1.9472 (2.0348) Prec@1 52.500 (47.510) Prec@5 80.625 (78.037) Epoch: [47][4370/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 2.2030 (2.0350) Prec@1 45.625 (47.508) Prec@5 73.750 (78.035) Epoch: [47][4380/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 1.9081 (2.0348) Prec@1 45.000 (47.511) Prec@5 80.625 (78.038) Epoch: [47][4390/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 2.1147 (2.0348) Prec@1 45.000 (47.510) Prec@5 76.250 (78.039) Epoch: [47][4400/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 2.1843 (2.0349) Prec@1 43.125 (47.512) Prec@5 75.000 (78.036) Epoch: [47][4410/11272] Time 0.722 (0.787) Data 0.002 (0.002) Loss 1.9296 (2.0348) Prec@1 51.250 (47.514) Prec@5 82.500 (78.037) Epoch: [47][4420/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 2.0070 (2.0346) Prec@1 50.000 (47.518) Prec@5 79.375 (78.039) Epoch: [47][4430/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 2.0605 (2.0345) Prec@1 48.750 (47.522) Prec@5 73.750 (78.043) Epoch: [47][4440/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 2.3250 (2.0348) Prec@1 41.250 (47.521) Prec@5 71.875 (78.038) Epoch: [47][4450/11272] Time 0.868 (0.787) Data 0.001 (0.002) Loss 2.2779 (2.0349) Prec@1 45.625 (47.519) Prec@5 76.250 (78.036) Epoch: [47][4460/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.2556 (2.0348) Prec@1 43.125 (47.522) Prec@5 75.000 (78.035) Epoch: [47][4470/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.1243 (2.0349) Prec@1 45.625 (47.521) Prec@5 77.500 (78.031) Epoch: [47][4480/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.9210 (2.0349) Prec@1 53.750 (47.522) Prec@5 75.000 (78.031) Epoch: [47][4490/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.0246 (2.0350) Prec@1 45.000 (47.522) Prec@5 80.625 (78.031) Epoch: [47][4500/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 1.9272 (2.0351) Prec@1 54.375 (47.520) Prec@5 76.875 (78.033) Epoch: [47][4510/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.1263 (2.0351) Prec@1 48.125 (47.518) Prec@5 76.875 (78.033) Epoch: [47][4520/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 2.2196 (2.0352) Prec@1 42.500 (47.515) Prec@5 73.750 (78.032) Epoch: [47][4530/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.9938 (2.0351) Prec@1 48.125 (47.516) Prec@5 76.250 (78.031) Epoch: [47][4540/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 2.1345 (2.0352) Prec@1 48.750 (47.516) Prec@5 78.125 (78.031) Epoch: [47][4550/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0630 (2.0351) Prec@1 44.375 (47.516) Prec@5 74.375 (78.032) Epoch: [47][4560/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.1520 (2.0352) Prec@1 43.125 (47.515) Prec@5 73.750 (78.029) Epoch: [47][4570/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.8891 (2.0353) Prec@1 51.250 (47.515) Prec@5 80.625 (78.029) Epoch: [47][4580/11272] Time 0.700 (0.787) Data 0.001 (0.002) Loss 1.8590 (2.0352) Prec@1 56.875 (47.524) Prec@5 81.250 (78.030) Epoch: [47][4590/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.9513 (2.0352) Prec@1 53.750 (47.524) Prec@5 75.000 (78.028) Epoch: [47][4600/11272] Time 0.846 (0.787) Data 0.001 (0.002) Loss 2.1083 (2.0356) Prec@1 48.750 (47.517) Prec@5 79.375 (78.021) Epoch: [47][4610/11272] Time 0.794 (0.787) Data 0.001 (0.002) Loss 1.9769 (2.0356) Prec@1 49.375 (47.520) Prec@5 75.625 (78.018) Epoch: [47][4620/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.0302 (2.0357) Prec@1 49.375 (47.521) Prec@5 76.875 (78.016) Epoch: [47][4630/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 2.1337 (2.0358) Prec@1 43.125 (47.520) Prec@5 77.500 (78.018) Epoch: [47][4640/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.4205 (2.0361) Prec@1 39.375 (47.515) Prec@5 73.750 (78.013) Epoch: [47][4650/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.0467 (2.0362) Prec@1 50.000 (47.516) Prec@5 80.000 (78.011) Epoch: [47][4660/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.1090 (2.0362) Prec@1 44.375 (47.517) Prec@5 76.250 (78.010) Epoch: [47][4670/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.0848 (2.0362) Prec@1 43.125 (47.516) Prec@5 81.250 (78.008) Epoch: [47][4680/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 2.1259 (2.0363) Prec@1 43.125 (47.513) Prec@5 76.875 (78.006) Epoch: [47][4690/11272] Time 0.873 (0.787) Data 0.002 (0.002) Loss 2.0117 (2.0363) Prec@1 46.250 (47.512) Prec@5 75.000 (78.004) Epoch: [47][4700/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 2.0914 (2.0362) Prec@1 45.000 (47.516) Prec@5 79.375 (78.010) Epoch: [47][4710/11272] Time 0.852 (0.787) Data 0.001 (0.002) Loss 2.1056 (2.0362) Prec@1 45.625 (47.517) Prec@5 74.375 (78.010) Epoch: [47][4720/11272] Time 0.815 (0.787) Data 0.001 (0.002) Loss 1.9785 (2.0362) Prec@1 46.875 (47.515) Prec@5 79.375 (78.009) Epoch: [47][4730/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1563 (2.0363) Prec@1 38.750 (47.515) Prec@5 73.750 (78.006) Epoch: [47][4740/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 1.9029 (2.0362) Prec@1 50.000 (47.517) Prec@5 75.625 (78.007) Epoch: [47][4750/11272] Time 0.870 (0.787) Data 0.001 (0.002) Loss 1.9798 (2.0361) Prec@1 46.875 (47.520) Prec@5 78.125 (78.007) Epoch: [47][4760/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.0619 (2.0362) Prec@1 48.750 (47.520) Prec@5 76.250 (78.004) Epoch: [47][4770/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 2.0537 (2.0362) Prec@1 43.750 (47.519) Prec@5 80.000 (78.006) Epoch: [47][4780/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.8851 (2.0360) Prec@1 52.500 (47.524) Prec@5 77.500 (78.007) Epoch: [47][4790/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.1472 (2.0361) Prec@1 46.250 (47.524) Prec@5 75.625 (78.007) Epoch: [47][4800/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.2450 (2.0361) Prec@1 43.750 (47.524) Prec@5 71.250 (78.008) Epoch: [47][4810/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.7217 (2.0361) Prec@1 49.375 (47.525) Prec@5 85.625 (78.010) Epoch: [47][4820/11272] Time 0.750 (0.787) Data 0.001 (0.002) Loss 2.1119 (2.0361) Prec@1 43.125 (47.523) Prec@5 75.625 (78.008) Epoch: [47][4830/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 2.1930 (2.0363) Prec@1 44.375 (47.518) Prec@5 71.250 (78.003) Epoch: [47][4840/11272] Time 0.734 (0.787) Data 0.003 (0.002) Loss 1.8853 (2.0362) Prec@1 49.375 (47.521) Prec@5 76.875 (78.003) Epoch: [47][4850/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 2.0098 (2.0363) Prec@1 50.000 (47.520) Prec@5 77.500 (78.003) Epoch: [47][4860/11272] Time 0.856 (0.787) Data 0.002 (0.002) Loss 2.2081 (2.0362) Prec@1 46.875 (47.522) Prec@5 76.250 (78.005) Epoch: [47][4870/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 2.2384 (2.0362) Prec@1 48.125 (47.526) Prec@5 76.250 (78.005) Epoch: [47][4880/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8383 (2.0361) Prec@1 53.750 (47.527) Prec@5 80.625 (78.007) Epoch: [47][4890/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.9303 (2.0361) Prec@1 50.000 (47.527) Prec@5 78.750 (78.008) Epoch: [47][4900/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.2113 (2.0361) Prec@1 40.000 (47.522) Prec@5 76.875 (78.008) Epoch: [47][4910/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 2.0922 (2.0363) Prec@1 45.000 (47.518) Prec@5 78.125 (78.004) Epoch: [47][4920/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.0733 (2.0364) Prec@1 46.875 (47.512) Prec@5 78.125 (78.002) Epoch: [47][4930/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 2.2597 (2.0363) Prec@1 48.750 (47.516) Prec@5 71.250 (78.003) Epoch: [47][4940/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.0223 (2.0363) Prec@1 45.000 (47.516) Prec@5 76.875 (78.002) Epoch: [47][4950/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 2.1755 (2.0364) Prec@1 41.250 (47.512) Prec@5 77.500 (77.997) Epoch: [47][4960/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.1420 (2.0363) Prec@1 48.125 (47.515) Prec@5 79.375 (78.002) Epoch: [47][4970/11272] Time 0.934 (0.787) Data 0.001 (0.002) Loss 1.9705 (2.0363) Prec@1 47.500 (47.516) Prec@5 81.875 (78.001) Epoch: [47][4980/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.9680 (2.0362) Prec@1 48.125 (47.517) Prec@5 83.125 (78.004) Epoch: [47][4990/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.3116 (2.0364) Prec@1 43.125 (47.515) Prec@5 74.375 (78.001) Epoch: [47][5000/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 2.1725 (2.0363) Prec@1 43.750 (47.517) Prec@5 71.875 (78.005) Epoch: [47][5010/11272] Time 0.853 (0.787) Data 0.001 (0.002) Loss 2.2007 (2.0364) Prec@1 44.375 (47.513) Prec@5 78.125 (78.004) Epoch: [47][5020/11272] Time 0.875 (0.787) Data 0.002 (0.002) Loss 2.2170 (2.0364) Prec@1 46.250 (47.514) Prec@5 76.875 (78.003) Epoch: [47][5030/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.8477 (2.0365) Prec@1 52.500 (47.512) Prec@5 83.750 (78.000) Epoch: [47][5040/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.9888 (2.0366) Prec@1 47.500 (47.510) Prec@5 81.875 (77.998) Epoch: [47][5050/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 2.1046 (2.0367) Prec@1 45.625 (47.512) Prec@5 74.375 (77.995) Epoch: [47][5060/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.2471 (2.0367) Prec@1 39.375 (47.510) Prec@5 71.875 (77.993) Epoch: [47][5070/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.8544 (2.0366) Prec@1 47.500 (47.512) Prec@5 80.625 (77.995) Epoch: [47][5080/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.1517 (2.0367) Prec@1 48.750 (47.512) Prec@5 72.500 (77.992) Epoch: [47][5090/11272] Time 0.897 (0.787) Data 0.002 (0.002) Loss 2.1848 (2.0366) Prec@1 45.000 (47.513) Prec@5 73.750 (77.993) Epoch: [47][5100/11272] Time 0.737 (0.787) Data 0.003 (0.002) Loss 1.6530 (2.0365) Prec@1 54.375 (47.513) Prec@5 87.500 (77.995) Epoch: [47][5110/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.8312 (2.0365) Prec@1 49.375 (47.513) Prec@5 85.625 (77.995) Epoch: [47][5120/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 2.2485 (2.0365) Prec@1 41.250 (47.510) Prec@5 77.500 (77.996) Epoch: [47][5130/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.9919 (2.0366) Prec@1 49.375 (47.509) Prec@5 75.625 (77.996) Epoch: [47][5140/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.0159 (2.0365) Prec@1 46.250 (47.510) Prec@5 81.250 (77.999) Epoch: [47][5150/11272] Time 0.749 (0.787) Data 0.001 (0.002) Loss 2.1990 (2.0364) Prec@1 43.125 (47.515) Prec@5 76.250 (77.999) Epoch: [47][5160/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.2998 (2.0365) Prec@1 42.500 (47.516) Prec@5 74.375 (77.997) Epoch: [47][5170/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.0765 (2.0365) Prec@1 45.625 (47.519) Prec@5 76.875 (77.995) Epoch: [47][5180/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 1.8731 (2.0364) Prec@1 50.625 (47.520) Prec@5 83.125 (77.998) Epoch: [47][5190/11272] Time 0.746 (0.787) Data 0.001 (0.002) Loss 2.1119 (2.0365) Prec@1 42.500 (47.516) Prec@5 78.125 (77.998) Epoch: [47][5200/11272] Time 0.846 (0.787) Data 0.001 (0.002) Loss 2.0632 (2.0364) Prec@1 48.750 (47.517) Prec@5 78.125 (78.001) Epoch: [47][5210/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.8534 (2.0364) Prec@1 51.250 (47.518) Prec@5 81.875 (77.999) Epoch: [47][5220/11272] Time 0.733 (0.787) Data 0.002 (0.002) Loss 1.9990 (2.0363) Prec@1 45.000 (47.521) Prec@5 81.250 (78.001) Epoch: [47][5230/11272] Time 0.895 (0.787) Data 0.001 (0.002) Loss 2.0207 (2.0362) Prec@1 48.125 (47.525) Prec@5 75.625 (78.002) Epoch: [47][5240/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 2.0215 (2.0363) Prec@1 46.250 (47.524) Prec@5 74.375 (77.999) Epoch: [47][5250/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.1525 (2.0362) Prec@1 48.750 (47.530) Prec@5 76.875 (78.002) Epoch: [47][5260/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.9766 (2.0362) Prec@1 50.625 (47.526) Prec@5 79.375 (77.999) Epoch: [47][5270/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 1.9518 (2.0361) Prec@1 48.125 (47.528) Prec@5 81.250 (78.001) Epoch: [47][5280/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 1.9463 (2.0362) Prec@1 50.000 (47.524) Prec@5 82.500 (78.003) Epoch: [47][5290/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.8568 (2.0362) Prec@1 51.875 (47.524) Prec@5 79.375 (78.004) Epoch: [47][5300/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 2.1566 (2.0363) Prec@1 45.625 (47.524) Prec@5 75.625 (78.005) Epoch: [47][5310/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.9102 (2.0362) Prec@1 54.375 (47.528) Prec@5 80.625 (78.006) Epoch: [47][5320/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 2.1432 (2.0365) Prec@1 46.875 (47.525) Prec@5 76.250 (78.000) Epoch: [47][5330/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 2.0668 (2.0366) Prec@1 48.750 (47.521) Prec@5 78.750 (77.999) Epoch: [47][5340/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 2.2263 (2.0367) Prec@1 46.250 (47.518) Prec@5 73.750 (78.000) Epoch: [47][5350/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.9875 (2.0367) Prec@1 45.625 (47.517) Prec@5 78.750 (78.000) Epoch: [47][5360/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.2930 (2.0367) Prec@1 40.625 (47.515) Prec@5 73.750 (77.998) Epoch: [47][5370/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 2.2272 (2.0369) Prec@1 40.625 (47.514) Prec@5 73.750 (77.995) Epoch: [47][5380/11272] Time 0.878 (0.787) Data 0.002 (0.002) Loss 1.8677 (2.0368) Prec@1 55.625 (47.519) Prec@5 79.375 (77.995) Epoch: [47][5390/11272] Time 0.897 (0.787) Data 0.002 (0.002) Loss 2.1202 (2.0370) Prec@1 45.000 (47.513) Prec@5 77.500 (77.992) Epoch: [47][5400/11272] Time 0.756 (0.787) Data 0.002 (0.002) Loss 1.9584 (2.0371) Prec@1 48.750 (47.514) Prec@5 79.375 (77.992) Epoch: [47][5410/11272] Time 0.762 (0.787) Data 0.002 (0.002) Loss 1.8634 (2.0370) Prec@1 52.500 (47.514) Prec@5 78.125 (77.992) Epoch: [47][5420/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 1.9493 (2.0369) Prec@1 43.750 (47.515) Prec@5 81.875 (77.995) Epoch: [47][5430/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.0914 (2.0369) Prec@1 46.250 (47.516) Prec@5 79.375 (77.997) Epoch: [47][5440/11272] Time 0.755 (0.787) Data 0.001 (0.002) Loss 2.1169 (2.0370) Prec@1 45.625 (47.516) Prec@5 77.500 (77.994) Epoch: [47][5450/11272] Time 0.761 (0.787) Data 0.002 (0.002) Loss 1.8501 (2.0371) Prec@1 51.875 (47.515) Prec@5 81.875 (77.992) Epoch: [47][5460/11272] Time 0.888 (0.787) Data 0.002 (0.002) Loss 2.0223 (2.0371) Prec@1 48.750 (47.514) Prec@5 83.125 (77.995) Epoch: [47][5470/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 2.0224 (2.0371) Prec@1 47.500 (47.513) Prec@5 80.625 (77.995) Epoch: [47][5480/11272] Time 0.757 (0.787) Data 0.002 (0.002) Loss 1.8698 (2.0371) Prec@1 46.250 (47.513) Prec@5 80.625 (77.994) Epoch: [47][5490/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8922 (2.0371) Prec@1 51.875 (47.513) Prec@5 79.375 (77.993) Epoch: [47][5500/11272] Time 0.857 (0.787) Data 0.001 (0.002) Loss 2.0483 (2.0370) Prec@1 46.250 (47.514) Prec@5 79.375 (77.993) Epoch: [47][5510/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.2004 (2.0373) Prec@1 48.125 (47.510) Prec@5 72.500 (77.990) Epoch: [47][5520/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 2.0257 (2.0374) Prec@1 51.875 (47.505) Prec@5 82.500 (77.989) Epoch: [47][5530/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 1.8004 (2.0373) Prec@1 51.875 (47.507) Prec@5 83.125 (77.991) Epoch: [47][5540/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 1.9852 (2.0372) Prec@1 52.500 (47.511) Prec@5 76.875 (77.993) Epoch: [47][5550/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 2.1376 (2.0371) Prec@1 47.500 (47.513) Prec@5 75.625 (77.995) Epoch: [47][5560/11272] Time 0.753 (0.787) Data 0.002 (0.002) Loss 2.2382 (2.0371) Prec@1 43.125 (47.512) Prec@5 72.500 (77.994) Epoch: [47][5570/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.9648 (2.0370) Prec@1 46.875 (47.510) Prec@5 76.250 (77.996) Epoch: [47][5580/11272] Time 0.846 (0.787) Data 0.001 (0.002) Loss 2.0431 (2.0371) Prec@1 48.125 (47.512) Prec@5 73.750 (77.994) Epoch: [47][5590/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0351 (2.0370) Prec@1 48.125 (47.514) Prec@5 77.500 (77.996) Epoch: [47][5600/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.8498 (2.0371) Prec@1 48.125 (47.514) Prec@5 77.500 (77.994) Epoch: [47][5610/11272] Time 0.828 (0.787) Data 0.002 (0.002) Loss 1.8682 (2.0370) Prec@1 49.375 (47.514) Prec@5 78.750 (77.998) Epoch: [47][5620/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.1073 (2.0369) Prec@1 48.125 (47.517) Prec@5 76.875 (78.000) Epoch: [47][5630/11272] Time 0.700 (0.787) Data 0.001 (0.002) Loss 2.1191 (2.0370) Prec@1 44.375 (47.517) Prec@5 75.000 (77.999) Epoch: [47][5640/11272] Time 0.898 (0.787) Data 0.002 (0.002) Loss 2.1927 (2.0370) Prec@1 45.625 (47.519) Prec@5 72.500 (77.997) Epoch: [47][5650/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 2.1831 (2.0370) Prec@1 44.375 (47.518) Prec@5 75.000 (77.998) Epoch: [47][5660/11272] Time 0.762 (0.787) Data 0.001 (0.002) Loss 2.0937 (2.0370) Prec@1 46.875 (47.519) Prec@5 75.000 (77.997) Epoch: [47][5670/11272] Time 0.752 (0.787) Data 0.001 (0.002) Loss 2.0617 (2.0371) Prec@1 45.000 (47.518) Prec@5 77.500 (77.996) Epoch: [47][5680/11272] Time 0.865 (0.787) Data 0.001 (0.002) Loss 1.8385 (2.0371) Prec@1 46.875 (47.520) Prec@5 80.625 (77.995) Epoch: [47][5690/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 2.0718 (2.0372) Prec@1 46.250 (47.521) Prec@5 77.500 (77.993) Epoch: [47][5700/11272] Time 0.761 (0.787) Data 0.001 (0.002) Loss 1.9329 (2.0371) Prec@1 49.375 (47.522) Prec@5 79.375 (77.993) Epoch: [47][5710/11272] Time 0.776 (0.787) Data 0.002 (0.002) Loss 2.0084 (2.0373) Prec@1 50.625 (47.522) Prec@5 76.875 (77.990) Epoch: [47][5720/11272] Time 0.866 (0.787) Data 0.001 (0.002) Loss 2.0271 (2.0372) Prec@1 48.125 (47.521) Prec@5 80.000 (77.990) Epoch: [47][5730/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 2.2650 (2.0373) Prec@1 38.750 (47.518) Prec@5 71.250 (77.987) Epoch: [47][5740/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.6936 (2.0374) Prec@1 57.500 (47.518) Prec@5 83.125 (77.985) Epoch: [47][5750/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.0772 (2.0374) Prec@1 48.125 (47.519) Prec@5 76.875 (77.983) Epoch: [47][5760/11272] Time 0.895 (0.787) Data 0.002 (0.002) Loss 2.0474 (2.0374) Prec@1 51.250 (47.521) Prec@5 80.000 (77.984) Epoch: [47][5770/11272] Time 0.744 (0.787) Data 0.003 (0.002) Loss 2.0230 (2.0374) Prec@1 50.625 (47.522) Prec@5 78.750 (77.984) Epoch: [47][5780/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.2260 (2.0374) Prec@1 48.125 (47.522) Prec@5 70.625 (77.983) Epoch: [47][5790/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 2.2783 (2.0375) Prec@1 48.750 (47.522) Prec@5 74.375 (77.981) Epoch: [47][5800/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.9303 (2.0374) Prec@1 53.750 (47.525) Prec@5 73.750 (77.983) Epoch: [47][5810/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.0378 (2.0376) Prec@1 48.750 (47.519) Prec@5 78.750 (77.979) Epoch: [47][5820/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.3103 (2.0376) Prec@1 46.250 (47.517) Prec@5 71.250 (77.980) Epoch: [47][5830/11272] Time 0.854 (0.788) Data 0.001 (0.002) Loss 2.1011 (2.0377) Prec@1 46.875 (47.515) Prec@5 77.500 (77.977) Epoch: [47][5840/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.0044 (2.0377) Prec@1 45.000 (47.514) Prec@5 81.250 (77.977) Epoch: [47][5850/11272] Time 0.754 (0.788) Data 0.002 (0.002) Loss 2.1832 (2.0377) Prec@1 42.500 (47.515) Prec@5 75.000 (77.977) Epoch: [47][5860/11272] Time 0.743 (0.788) Data 0.001 (0.002) Loss 2.0166 (2.0376) Prec@1 50.625 (47.514) Prec@5 77.500 (77.975) Epoch: [47][5870/11272] Time 0.843 (0.788) Data 0.001 (0.002) Loss 2.1612 (2.0377) Prec@1 48.125 (47.514) Prec@5 71.875 (77.975) Epoch: [47][5880/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 1.9396 (2.0376) Prec@1 47.500 (47.514) Prec@5 76.875 (77.977) Epoch: [47][5890/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.9058 (2.0377) Prec@1 50.000 (47.512) Prec@5 78.750 (77.975) Epoch: [47][5900/11272] Time 0.858 (0.788) Data 0.002 (0.002) Loss 1.9277 (2.0377) Prec@1 49.375 (47.511) Prec@5 81.875 (77.976) Epoch: [47][5910/11272] Time 0.828 (0.788) Data 0.001 (0.002) Loss 1.8732 (2.0377) Prec@1 48.125 (47.511) Prec@5 85.625 (77.976) Epoch: [47][5920/11272] Time 0.737 (0.788) Data 0.001 (0.002) Loss 2.0265 (2.0378) Prec@1 50.000 (47.511) Prec@5 76.875 (77.975) Epoch: [47][5930/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 2.1680 (2.0377) Prec@1 44.375 (47.513) Prec@5 75.625 (77.975) Epoch: [47][5940/11272] Time 0.890 (0.788) Data 0.002 (0.002) Loss 1.8616 (2.0377) Prec@1 46.250 (47.512) Prec@5 85.625 (77.978) Epoch: [47][5950/11272] Time 0.841 (0.788) Data 0.001 (0.002) Loss 2.0792 (2.0377) Prec@1 48.750 (47.513) Prec@5 78.750 (77.977) Epoch: [47][5960/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 1.9709 (2.0377) Prec@1 50.625 (47.512) Prec@5 78.125 (77.978) Epoch: [47][5970/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.8921 (2.0376) Prec@1 51.250 (47.513) Prec@5 80.000 (77.981) Epoch: [47][5980/11272] Time 0.867 (0.788) Data 0.002 (0.002) Loss 2.0214 (2.0376) Prec@1 50.000 (47.517) Prec@5 77.500 (77.981) Epoch: [47][5990/11272] Time 0.832 (0.788) Data 0.001 (0.002) Loss 2.1170 (2.0376) Prec@1 47.500 (47.515) Prec@5 76.875 (77.982) Epoch: [47][6000/11272] Time 0.745 (0.788) Data 0.001 (0.002) Loss 2.0039 (2.0377) Prec@1 51.875 (47.514) Prec@5 80.625 (77.981) Epoch: [47][6010/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 2.0372 (2.0378) Prec@1 45.625 (47.511) Prec@5 76.875 (77.980) Epoch: [47][6020/11272] Time 0.852 (0.788) Data 0.002 (0.002) Loss 2.1533 (2.0377) Prec@1 46.250 (47.513) Prec@5 76.250 (77.980) Epoch: [47][6030/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.7455 (2.0377) Prec@1 53.750 (47.512) Prec@5 83.125 (77.981) Epoch: [47][6040/11272] Time 0.731 (0.788) Data 0.002 (0.002) Loss 1.9289 (2.0377) Prec@1 47.500 (47.511) Prec@5 80.625 (77.982) Epoch: [47][6050/11272] Time 0.898 (0.788) Data 0.002 (0.002) Loss 2.0275 (2.0379) Prec@1 51.250 (47.508) Prec@5 77.500 (77.979) Epoch: [47][6060/11272] Time 0.821 (0.788) Data 0.002 (0.002) Loss 1.8614 (2.0380) Prec@1 51.250 (47.506) Prec@5 80.000 (77.978) Epoch: [47][6070/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.9709 (2.0381) Prec@1 44.375 (47.502) Prec@5 78.125 (77.977) Epoch: [47][6080/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.9157 (2.0380) Prec@1 51.875 (47.503) Prec@5 79.375 (77.978) Epoch: [47][6090/11272] Time 0.830 (0.788) Data 0.002 (0.002) Loss 2.0739 (2.0380) Prec@1 46.250 (47.501) Prec@5 76.875 (77.977) Epoch: [47][6100/11272] Time 0.804 (0.788) Data 0.001 (0.002) Loss 2.1428 (2.0380) Prec@1 42.500 (47.502) Prec@5 76.875 (77.979) Epoch: [47][6110/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.0984 (2.0380) Prec@1 40.625 (47.500) Prec@5 73.750 (77.977) Epoch: [47][6120/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.8907 (2.0380) Prec@1 50.625 (47.501) Prec@5 82.500 (77.979) Epoch: [47][6130/11272] Time 0.862 (0.788) Data 0.002 (0.002) Loss 1.9071 (2.0381) Prec@1 47.500 (47.499) Prec@5 76.875 (77.976) Epoch: [47][6140/11272] Time 0.848 (0.788) Data 0.002 (0.002) Loss 2.0331 (2.0381) Prec@1 45.625 (47.498) Prec@5 80.000 (77.977) Epoch: [47][6150/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 1.8789 (2.0381) Prec@1 57.500 (47.498) Prec@5 77.500 (77.977) Epoch: [47][6160/11272] Time 0.914 (0.788) Data 0.002 (0.002) Loss 2.1633 (2.0382) Prec@1 43.750 (47.496) Prec@5 71.875 (77.974) Epoch: [47][6170/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 2.1896 (2.0382) Prec@1 46.875 (47.497) Prec@5 75.000 (77.974) Epoch: [47][6180/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 2.2901 (2.0382) Prec@1 44.375 (47.499) Prec@5 75.000 (77.975) Epoch: [47][6190/11272] Time 0.766 (0.788) Data 0.002 (0.002) Loss 1.9208 (2.0382) Prec@1 51.250 (47.496) Prec@5 76.875 (77.974) Epoch: [47][6200/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 1.9559 (2.0383) Prec@1 49.375 (47.494) Prec@5 80.625 (77.973) Epoch: [47][6210/11272] Time 0.813 (0.788) Data 0.001 (0.002) Loss 1.7613 (2.0382) Prec@1 54.375 (47.496) Prec@5 81.875 (77.974) Epoch: [47][6220/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 2.0059 (2.0382) Prec@1 46.875 (47.496) Prec@5 77.500 (77.974) Epoch: [47][6230/11272] Time 0.735 (0.788) Data 0.002 (0.002) Loss 2.0514 (2.0381) Prec@1 48.125 (47.497) Prec@5 80.000 (77.975) Epoch: [47][6240/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 2.0311 (2.0382) Prec@1 50.000 (47.495) Prec@5 79.375 (77.972) Epoch: [47][6250/11272] Time 0.844 (0.788) Data 0.001 (0.002) Loss 2.0672 (2.0384) Prec@1 50.000 (47.492) Prec@5 76.875 (77.970) Epoch: [47][6260/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 2.1178 (2.0385) Prec@1 46.250 (47.493) Prec@5 71.250 (77.965) Epoch: [47][6270/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 2.0438 (2.0385) Prec@1 45.625 (47.494) Prec@5 80.000 (77.967) Epoch: [47][6280/11272] Time 0.868 (0.788) Data 0.002 (0.002) Loss 2.0807 (2.0385) Prec@1 45.625 (47.492) Prec@5 77.500 (77.966) Epoch: [47][6290/11272] Time 0.847 (0.788) Data 0.002 (0.002) Loss 2.2983 (2.0386) Prec@1 41.250 (47.491) Prec@5 75.000 (77.966) Epoch: [47][6300/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.9649 (2.0386) Prec@1 48.750 (47.491) Prec@5 78.750 (77.966) Epoch: [47][6310/11272] Time 0.882 (0.788) Data 0.001 (0.002) Loss 2.0652 (2.0385) Prec@1 45.625 (47.493) Prec@5 75.000 (77.968) Epoch: [47][6320/11272] Time 0.887 (0.788) Data 0.001 (0.002) Loss 2.2506 (2.0386) Prec@1 39.375 (47.488) Prec@5 75.000 (77.966) Epoch: [47][6330/11272] Time 0.778 (0.788) Data 0.001 (0.002) Loss 1.8839 (2.0387) Prec@1 47.500 (47.487) Prec@5 78.125 (77.963) Epoch: [47][6340/11272] Time 0.720 (0.788) Data 0.002 (0.002) Loss 2.1090 (2.0388) Prec@1 42.500 (47.484) Prec@5 73.125 (77.962) Epoch: [47][6350/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 2.0609 (2.0387) Prec@1 46.250 (47.484) Prec@5 78.750 (77.964) Epoch: [47][6360/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.8914 (2.0387) Prec@1 48.125 (47.485) Prec@5 83.125 (77.966) Epoch: [47][6370/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 2.0452 (2.0387) Prec@1 50.625 (47.487) Prec@5 76.250 (77.965) Epoch: [47][6380/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.9923 (2.0386) Prec@1 44.375 (47.486) Prec@5 80.625 (77.967) Epoch: [47][6390/11272] Time 0.861 (0.788) Data 0.002 (0.002) Loss 2.0331 (2.0387) Prec@1 46.250 (47.483) Prec@5 74.375 (77.966) Epoch: [47][6400/11272] Time 0.857 (0.788) Data 0.002 (0.002) Loss 2.0791 (2.0388) Prec@1 53.125 (47.482) Prec@5 76.250 (77.961) Epoch: [47][6410/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.1069 (2.0389) Prec@1 48.750 (47.483) Prec@5 75.625 (77.961) Epoch: [47][6420/11272] Time 0.755 (0.788) Data 0.001 (0.002) Loss 2.0299 (2.0389) Prec@1 51.875 (47.483) Prec@5 74.375 (77.960) Epoch: [47][6430/11272] Time 0.865 (0.788) Data 0.001 (0.002) Loss 2.0647 (2.0390) Prec@1 45.000 (47.480) Prec@5 80.625 (77.958) Epoch: [47][6440/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 1.8587 (2.0390) Prec@1 55.000 (47.483) Prec@5 81.250 (77.959) Epoch: [47][6450/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.9718 (2.0391) Prec@1 46.875 (47.481) Prec@5 79.375 (77.957) Epoch: [47][6460/11272] Time 0.839 (0.788) Data 0.001 (0.002) Loss 2.3202 (2.0391) Prec@1 39.375 (47.481) Prec@5 71.875 (77.956) Epoch: [47][6470/11272] Time 0.859 (0.788) Data 0.001 (0.002) Loss 2.0804 (2.0392) Prec@1 51.250 (47.479) Prec@5 77.500 (77.954) Epoch: [47][6480/11272] Time 0.719 (0.788) Data 0.001 (0.002) Loss 1.9409 (2.0393) Prec@1 51.250 (47.478) Prec@5 79.375 (77.953) Epoch: [47][6490/11272] Time 0.745 (0.788) Data 0.001 (0.002) Loss 1.9464 (2.0394) Prec@1 49.375 (47.475) Prec@5 79.375 (77.952) Epoch: [47][6500/11272] Time 0.845 (0.788) Data 0.001 (0.002) Loss 1.9055 (2.0394) Prec@1 56.250 (47.475) Prec@5 83.125 (77.953) Epoch: [47][6510/11272] Time 0.849 (0.788) Data 0.002 (0.002) Loss 2.2759 (2.0395) Prec@1 45.625 (47.476) Prec@5 73.125 (77.953) Epoch: [47][6520/11272] Time 0.749 (0.788) Data 0.001 (0.002) Loss 1.8345 (2.0395) Prec@1 48.750 (47.474) Prec@5 83.750 (77.952) Epoch: [47][6530/11272] Time 0.743 (0.788) Data 0.001 (0.002) Loss 1.9924 (2.0396) Prec@1 47.500 (47.472) Prec@5 75.625 (77.952) Epoch: [47][6540/11272] Time 0.884 (0.788) Data 0.002 (0.002) Loss 2.3205 (2.0396) Prec@1 45.625 (47.469) Prec@5 70.000 (77.952) Epoch: [47][6550/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 2.0636 (2.0397) Prec@1 46.875 (47.468) Prec@5 79.375 (77.951) Epoch: [47][6560/11272] Time 0.754 (0.788) Data 0.002 (0.002) Loss 1.9097 (2.0397) Prec@1 51.250 (47.470) Prec@5 80.000 (77.951) Epoch: [47][6570/11272] Time 0.893 (0.788) Data 0.001 (0.002) Loss 2.1085 (2.0397) Prec@1 46.250 (47.468) Prec@5 79.375 (77.951) Epoch: [47][6580/11272] Time 0.884 (0.788) Data 0.002 (0.002) Loss 1.8707 (2.0397) Prec@1 51.250 (47.468) Prec@5 82.500 (77.952) Epoch: [47][6590/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 2.1501 (2.0397) Prec@1 50.000 (47.469) Prec@5 75.000 (77.952) Epoch: [47][6600/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.0596 (2.0398) Prec@1 46.250 (47.463) Prec@5 79.375 (77.951) Epoch: [47][6610/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 1.7289 (2.0397) Prec@1 58.125 (47.464) Prec@5 84.375 (77.957) Epoch: [47][6620/11272] Time 0.843 (0.788) Data 0.001 (0.002) Loss 2.3763 (2.0398) Prec@1 36.250 (47.461) Prec@5 73.750 (77.955) Epoch: [47][6630/11272] Time 0.745 (0.788) Data 0.002 (0.002) Loss 2.3555 (2.0398) Prec@1 41.250 (47.461) Prec@5 71.875 (77.955) Epoch: [47][6640/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 2.0034 (2.0399) Prec@1 46.250 (47.458) Prec@5 80.625 (77.956) Epoch: [47][6650/11272] Time 0.883 (0.788) Data 0.001 (0.002) Loss 1.9996 (2.0399) Prec@1 45.625 (47.456) Prec@5 78.750 (77.955) Epoch: [47][6660/11272] Time 0.823 (0.788) Data 0.002 (0.002) Loss 2.2301 (2.0399) Prec@1 49.375 (47.457) Prec@5 71.250 (77.957) Epoch: [47][6670/11272] Time 0.726 (0.788) Data 0.002 (0.002) Loss 2.1939 (2.0401) Prec@1 41.250 (47.452) Prec@5 76.250 (77.953) Epoch: [47][6680/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 2.1409 (2.0402) Prec@1 41.875 (47.451) Prec@5 80.000 (77.952) Epoch: [47][6690/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 2.1375 (2.0402) Prec@1 43.750 (47.450) Prec@5 76.875 (77.952) Epoch: [47][6700/11272] Time 0.737 (0.788) Data 0.003 (0.002) Loss 2.1093 (2.0403) Prec@1 46.250 (47.448) Prec@5 78.125 (77.949) Epoch: [47][6710/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 2.1558 (2.0406) Prec@1 41.875 (47.443) Prec@5 80.000 (77.946) Epoch: [47][6720/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 2.0913 (2.0406) Prec@1 46.875 (47.445) Prec@5 76.250 (77.947) Epoch: [47][6730/11272] Time 0.883 (0.788) Data 0.002 (0.002) Loss 2.2422 (2.0407) Prec@1 43.125 (47.443) Prec@5 75.625 (77.947) Epoch: [47][6740/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.9227 (2.0406) Prec@1 51.250 (47.445) Prec@5 78.750 (77.947) Epoch: [47][6750/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.1017 (2.0407) Prec@1 48.125 (47.443) Prec@5 77.500 (77.946) Epoch: [47][6760/11272] Time 0.810 (0.788) Data 0.002 (0.002) Loss 2.0118 (2.0407) Prec@1 44.375 (47.443) Prec@5 79.375 (77.947) Epoch: [47][6770/11272] Time 0.904 (0.788) Data 0.001 (0.002) Loss 2.0561 (2.0406) Prec@1 51.250 (47.445) Prec@5 75.625 (77.947) Epoch: [47][6780/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 1.8422 (2.0406) Prec@1 53.750 (47.446) Prec@5 85.625 (77.947) Epoch: [47][6790/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.9905 (2.0405) Prec@1 48.750 (47.447) Prec@5 78.750 (77.949) Epoch: [47][6800/11272] Time 0.848 (0.788) Data 0.001 (0.002) Loss 2.0604 (2.0405) Prec@1 45.000 (47.447) Prec@5 80.000 (77.950) Epoch: [47][6810/11272] Time 0.895 (0.788) Data 0.002 (0.002) Loss 2.1110 (2.0406) Prec@1 43.750 (47.446) Prec@5 75.625 (77.949) Epoch: [47][6820/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.9815 (2.0405) Prec@1 47.500 (47.447) Prec@5 79.375 (77.950) Epoch: [47][6830/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 2.1044 (2.0406) Prec@1 41.875 (47.444) Prec@5 75.000 (77.949) Epoch: [47][6840/11272] Time 0.839 (0.789) Data 0.001 (0.002) Loss 2.1273 (2.0407) Prec@1 53.750 (47.444) Prec@5 76.250 (77.948) Epoch: [47][6850/11272] Time 0.756 (0.789) Data 0.001 (0.002) Loss 2.1660 (2.0408) Prec@1 45.000 (47.444) Prec@5 78.750 (77.947) Epoch: [47][6860/11272] Time 0.707 (0.789) Data 0.001 (0.002) Loss 1.7584 (2.0408) Prec@1 48.750 (47.442) Prec@5 84.375 (77.946) Epoch: [47][6870/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 2.0553 (2.0408) Prec@1 50.000 (47.443) Prec@5 80.000 (77.946) Epoch: [47][6880/11272] Time 0.926 (0.789) Data 0.002 (0.002) Loss 2.1900 (2.0407) Prec@1 42.500 (47.444) Prec@5 77.500 (77.948) Epoch: [47][6890/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.8747 (2.0407) Prec@1 48.750 (47.442) Prec@5 81.250 (77.949) Epoch: [47][6900/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 2.1235 (2.0408) Prec@1 46.250 (47.441) Prec@5 74.375 (77.946) Epoch: [47][6910/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.7209 (2.0409) Prec@1 50.625 (47.439) Prec@5 80.625 (77.945) Epoch: [47][6920/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 2.0901 (2.0409) Prec@1 49.375 (47.437) Prec@5 76.875 (77.944) Epoch: [47][6930/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.7803 (2.0410) Prec@1 50.625 (47.435) Prec@5 83.750 (77.942) Epoch: [47][6940/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 2.0201 (2.0410) Prec@1 43.125 (47.434) Prec@5 80.000 (77.941) Epoch: [47][6950/11272] Time 0.818 (0.789) Data 0.002 (0.002) Loss 1.7117 (2.0410) Prec@1 53.125 (47.432) Prec@5 83.125 (77.942) Epoch: [47][6960/11272] Time 0.735 (0.789) Data 0.003 (0.002) Loss 1.9210 (2.0410) Prec@1 50.625 (47.431) Prec@5 76.875 (77.942) Epoch: [47][6970/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 2.3320 (2.0411) Prec@1 36.250 (47.430) Prec@5 77.500 (77.942) Epoch: [47][6980/11272] Time 0.861 (0.789) Data 0.001 (0.002) Loss 1.8486 (2.0410) Prec@1 49.375 (47.430) Prec@5 78.125 (77.943) Epoch: [47][6990/11272] Time 0.865 (0.789) Data 0.002 (0.002) Loss 2.1377 (2.0409) Prec@1 41.875 (47.433) Prec@5 77.500 (77.944) Epoch: [47][7000/11272] Time 0.783 (0.789) Data 0.002 (0.002) Loss 2.1121 (2.0409) Prec@1 45.625 (47.434) Prec@5 77.500 (77.943) Epoch: [47][7010/11272] Time 0.735 (0.789) Data 0.001 (0.002) Loss 2.1223 (2.0409) Prec@1 45.625 (47.436) Prec@5 75.625 (77.943) Epoch: [47][7020/11272] Time 0.845 (0.789) Data 0.001 (0.002) Loss 1.7854 (2.0409) Prec@1 50.625 (47.437) Prec@5 81.875 (77.943) Epoch: [47][7030/11272] Time 0.817 (0.789) Data 0.001 (0.002) Loss 2.0678 (2.0409) Prec@1 47.500 (47.437) Prec@5 77.500 (77.942) Epoch: [47][7040/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 2.0947 (2.0409) Prec@1 45.625 (47.436) Prec@5 78.750 (77.941) Epoch: [47][7050/11272] Time 0.754 (0.789) Data 0.002 (0.002) Loss 1.8431 (2.0410) Prec@1 51.250 (47.435) Prec@5 76.875 (77.939) Epoch: [47][7060/11272] Time 0.879 (0.789) Data 0.002 (0.002) Loss 2.0960 (2.0409) Prec@1 44.375 (47.435) Prec@5 81.250 (77.942) Epoch: [47][7070/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 1.8687 (2.0409) Prec@1 50.625 (47.434) Prec@5 78.125 (77.939) Epoch: [47][7080/11272] Time 0.735 (0.789) Data 0.001 (0.002) Loss 2.0884 (2.0410) Prec@1 48.125 (47.432) Prec@5 76.250 (77.938) Epoch: [47][7090/11272] Time 0.866 (0.789) Data 0.002 (0.002) Loss 2.0819 (2.0410) Prec@1 47.500 (47.432) Prec@5 76.250 (77.938) Epoch: [47][7100/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 2.2512 (2.0411) Prec@1 48.750 (47.431) Prec@5 75.625 (77.937) Epoch: [47][7110/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 2.0041 (2.0411) Prec@1 48.125 (47.432) Prec@5 79.375 (77.936) Epoch: [47][7120/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.9582 (2.0411) Prec@1 46.250 (47.430) Prec@5 76.250 (77.935) Epoch: [47][7130/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.8589 (2.0411) Prec@1 50.625 (47.430) Prec@5 80.625 (77.935) Epoch: [47][7140/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 2.0386 (2.0411) Prec@1 45.000 (47.431) Prec@5 75.000 (77.935) Epoch: [47][7150/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 2.0280 (2.0411) Prec@1 50.625 (47.430) Prec@5 77.500 (77.937) Epoch: [47][7160/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 2.1849 (2.0411) Prec@1 45.000 (47.430) Prec@5 76.250 (77.938) Epoch: [47][7170/11272] Time 0.846 (0.789) Data 0.001 (0.002) Loss 2.2127 (2.0412) Prec@1 46.250 (47.429) Prec@5 73.125 (77.935) Epoch: [47][7180/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 2.0585 (2.0413) Prec@1 50.625 (47.427) Prec@5 79.375 (77.933) Epoch: [47][7190/11272] Time 0.797 (0.789) Data 0.002 (0.002) Loss 2.1968 (2.0414) Prec@1 45.625 (47.425) Prec@5 71.875 (77.931) Epoch: [47][7200/11272] Time 0.749 (0.789) Data 0.001 (0.002) Loss 2.0622 (2.0414) Prec@1 50.625 (47.426) Prec@5 78.125 (77.932) Epoch: [47][7210/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.9957 (2.0414) Prec@1 46.250 (47.427) Prec@5 81.250 (77.933) Epoch: [47][7220/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.8871 (2.0413) Prec@1 51.250 (47.426) Prec@5 83.125 (77.933) Epoch: [47][7230/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.9731 (2.0413) Prec@1 46.875 (47.425) Prec@5 81.250 (77.934) Epoch: [47][7240/11272] Time 0.925 (0.789) Data 0.001 (0.002) Loss 1.8896 (2.0412) Prec@1 50.000 (47.428) Prec@5 85.625 (77.938) Epoch: [47][7250/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 2.2764 (2.0413) Prec@1 48.125 (47.426) Prec@5 72.500 (77.936) Epoch: [47][7260/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 2.0793 (2.0414) Prec@1 42.500 (47.425) Prec@5 76.875 (77.936) Epoch: [47][7270/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 2.2668 (2.0414) Prec@1 43.750 (47.425) Prec@5 72.500 (77.933) Epoch: [47][7280/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 2.0639 (2.0414) Prec@1 46.875 (47.422) Prec@5 78.125 (77.933) Epoch: [47][7290/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 2.1081 (2.0415) Prec@1 43.125 (47.422) Prec@5 78.750 (77.932) Epoch: [47][7300/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 2.0595 (2.0414) Prec@1 50.625 (47.423) Prec@5 76.250 (77.932) Epoch: [47][7310/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 2.2725 (2.0415) Prec@1 42.500 (47.423) Prec@5 74.375 (77.930) Epoch: [47][7320/11272] Time 0.893 (0.789) Data 0.002 (0.002) Loss 2.1140 (2.0414) Prec@1 44.375 (47.423) Prec@5 80.000 (77.932) Epoch: [47][7330/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 2.1383 (2.0416) Prec@1 42.500 (47.420) Prec@5 77.500 (77.929) Epoch: [47][7340/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.8997 (2.0417) Prec@1 53.125 (47.417) Prec@5 80.625 (77.927) Epoch: [47][7350/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 2.1376 (2.0417) Prec@1 43.125 (47.418) Prec@5 76.250 (77.926) Epoch: [47][7360/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 2.2397 (2.0417) Prec@1 40.625 (47.416) Prec@5 75.625 (77.926) Epoch: [47][7370/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.9575 (2.0417) Prec@1 48.125 (47.416) Prec@5 76.875 (77.926) Epoch: [47][7380/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 2.2178 (2.0418) Prec@1 42.500 (47.414) Prec@5 76.875 (77.925) Epoch: [47][7390/11272] Time 0.888 (0.789) Data 0.001 (0.002) Loss 2.0181 (2.0419) Prec@1 45.625 (47.412) Prec@5 76.875 (77.922) Epoch: [47][7400/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 2.1301 (2.0419) Prec@1 50.625 (47.412) Prec@5 72.500 (77.921) Epoch: [47][7410/11272] Time 0.747 (0.789) Data 0.002 (0.002) Loss 2.3272 (2.0420) Prec@1 43.125 (47.410) Prec@5 71.875 (77.918) Epoch: [47][7420/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 2.1681 (2.0420) Prec@1 44.375 (47.410) Prec@5 76.875 (77.918) Epoch: [47][7430/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 1.9376 (2.0420) Prec@1 48.750 (47.408) Prec@5 77.500 (77.918) Epoch: [47][7440/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 2.1532 (2.0421) Prec@1 45.625 (47.408) Prec@5 76.250 (77.917) Epoch: [47][7450/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.9714 (2.0420) Prec@1 50.000 (47.410) Prec@5 76.875 (77.918) Epoch: [47][7460/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 2.1497 (2.0420) Prec@1 42.500 (47.409) Prec@5 77.500 (77.918) Epoch: [47][7470/11272] Time 0.878 (0.789) Data 0.002 (0.002) Loss 2.1757 (2.0420) Prec@1 41.875 (47.411) Prec@5 76.875 (77.918) Epoch: [47][7480/11272] Time 0.878 (0.789) Data 0.002 (0.002) Loss 2.2435 (2.0421) Prec@1 38.125 (47.407) Prec@5 75.000 (77.916) Epoch: [47][7490/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 2.0051 (2.0421) Prec@1 45.625 (47.407) Prec@5 76.250 (77.916) Epoch: [47][7500/11272] Time 0.870 (0.789) Data 0.001 (0.002) Loss 1.9974 (2.0421) Prec@1 48.125 (47.407) Prec@5 74.375 (77.913) Epoch: [47][7510/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 2.2019 (2.0422) Prec@1 45.000 (47.407) Prec@5 78.125 (77.912) Epoch: [47][7520/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 2.1987 (2.0422) Prec@1 41.250 (47.405) Prec@5 73.125 (77.911) Epoch: [47][7530/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 2.1670 (2.0423) Prec@1 50.000 (47.403) Prec@5 75.625 (77.909) Epoch: [47][7540/11272] Time 0.864 (0.789) Data 0.002 (0.002) Loss 2.3382 (2.0423) Prec@1 41.875 (47.403) Prec@5 76.250 (77.910) Epoch: [47][7550/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 2.4388 (2.0424) Prec@1 41.250 (47.401) Prec@5 71.875 (77.909) Epoch: [47][7560/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.8874 (2.0424) Prec@1 48.750 (47.401) Prec@5 80.000 (77.908) Epoch: [47][7570/11272] Time 0.750 (0.789) Data 0.002 (0.002) Loss 2.0386 (2.0424) Prec@1 49.375 (47.403) Prec@5 78.750 (77.909) Epoch: [47][7580/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 2.0111 (2.0424) Prec@1 44.375 (47.400) Prec@5 76.875 (77.908) Epoch: [47][7590/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 2.1288 (2.0424) Prec@1 46.875 (47.399) Prec@5 72.500 (77.908) Epoch: [47][7600/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.9037 (2.0424) Prec@1 50.000 (47.399) Prec@5 80.000 (77.908) Epoch: [47][7610/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.8006 (2.0424) Prec@1 51.875 (47.399) Prec@5 82.500 (77.908) Epoch: [47][7620/11272] Time 0.849 (0.789) Data 0.002 (0.002) Loss 2.0442 (2.0423) Prec@1 44.375 (47.400) Prec@5 78.750 (77.909) Epoch: [47][7630/11272] Time 0.739 (0.789) Data 0.003 (0.002) Loss 2.0909 (2.0423) Prec@1 48.125 (47.398) Prec@5 75.000 (77.909) Epoch: [47][7640/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 2.0656 (2.0423) Prec@1 48.125 (47.398) Prec@5 78.125 (77.910) Epoch: [47][7650/11272] Time 0.888 (0.789) Data 0.002 (0.002) Loss 2.0351 (2.0423) Prec@1 48.125 (47.400) Prec@5 76.250 (77.911) Epoch: [47][7660/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 2.0572 (2.0422) Prec@1 42.500 (47.400) Prec@5 78.125 (77.912) Epoch: [47][7670/11272] Time 0.748 (0.789) Data 0.001 (0.002) Loss 2.0114 (2.0421) Prec@1 43.750 (47.403) Prec@5 78.125 (77.913) Epoch: [47][7680/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 2.2764 (2.0422) Prec@1 40.625 (47.401) Prec@5 73.750 (77.910) Epoch: [47][7690/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 2.1275 (2.0422) Prec@1 50.000 (47.400) Prec@5 75.000 (77.909) Epoch: [47][7700/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.9492 (2.0422) Prec@1 45.625 (47.400) Prec@5 80.000 (77.909) Epoch: [47][7710/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 2.0609 (2.0422) Prec@1 43.125 (47.399) Prec@5 76.250 (77.908) Epoch: [47][7720/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 2.0954 (2.0423) Prec@1 45.000 (47.398) Prec@5 73.125 (77.906) Epoch: [47][7730/11272] Time 0.867 (0.789) Data 0.002 (0.002) Loss 2.1505 (2.0423) Prec@1 44.375 (47.396) Prec@5 78.750 (77.907) Epoch: [47][7740/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 1.9935 (2.0424) Prec@1 45.625 (47.395) Prec@5 77.500 (77.907) Epoch: [47][7750/11272] Time 0.764 (0.789) Data 0.002 (0.002) Loss 2.0220 (2.0424) Prec@1 46.250 (47.393) Prec@5 78.750 (77.907) Epoch: [47][7760/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 2.0098 (2.0423) Prec@1 48.125 (47.395) Prec@5 80.000 (77.909) Epoch: [47][7770/11272] Time 0.851 (0.789) Data 0.002 (0.002) Loss 2.1294 (2.0424) Prec@1 45.625 (47.393) Prec@5 76.875 (77.909) Epoch: [47][7780/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.8809 (2.0423) Prec@1 47.500 (47.395) Prec@5 83.750 (77.910) Epoch: [47][7790/11272] Time 0.755 (0.789) Data 0.002 (0.002) Loss 2.0277 (2.0422) Prec@1 49.375 (47.396) Prec@5 75.000 (77.911) Epoch: [47][7800/11272] Time 0.859 (0.789) Data 0.001 (0.002) Loss 1.9655 (2.0423) Prec@1 52.500 (47.396) Prec@5 77.500 (77.910) Epoch: [47][7810/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.9276 (2.0424) Prec@1 49.375 (47.396) Prec@5 78.750 (77.909) Epoch: [47][7820/11272] Time 0.753 (0.789) Data 0.001 (0.002) Loss 1.8335 (2.0423) Prec@1 53.125 (47.395) Prec@5 81.250 (77.911) Epoch: [47][7830/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 2.1803 (2.0423) Prec@1 42.500 (47.394) Prec@5 76.875 (77.911) Epoch: [47][7840/11272] Time 0.855 (0.789) Data 0.002 (0.002) Loss 1.7507 (2.0424) Prec@1 53.125 (47.396) Prec@5 80.625 (77.909) Epoch: [47][7850/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 2.0748 (2.0424) Prec@1 46.875 (47.395) Prec@5 75.625 (77.907) Epoch: [47][7860/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 2.0317 (2.0424) Prec@1 51.250 (47.397) Prec@5 75.625 (77.906) Epoch: [47][7870/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.9445 (2.0425) Prec@1 48.125 (47.395) Prec@5 74.375 (77.904) Epoch: [47][7880/11272] Time 0.893 (0.789) Data 0.002 (0.002) Loss 1.9132 (2.0425) Prec@1 49.375 (47.396) Prec@5 82.500 (77.903) Epoch: [47][7890/11272] Time 0.720 (0.789) Data 0.004 (0.002) Loss 2.0737 (2.0425) Prec@1 47.500 (47.395) Prec@5 78.750 (77.903) Epoch: [47][7900/11272] Time 0.737 (0.789) Data 0.001 (0.002) Loss 2.0857 (2.0424) Prec@1 46.250 (47.397) Prec@5 77.500 (77.904) Epoch: [47][7910/11272] Time 0.824 (0.789) Data 0.002 (0.002) Loss 2.3397 (2.0424) Prec@1 39.375 (47.397) Prec@5 70.625 (77.906) Epoch: [47][7920/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 2.2008 (2.0424) Prec@1 47.500 (47.399) Prec@5 75.000 (77.905) Epoch: [47][7930/11272] Time 0.769 (0.789) Data 0.002 (0.002) Loss 2.1682 (2.0423) Prec@1 46.250 (47.400) Prec@5 75.000 (77.905) Epoch: [47][7940/11272] Time 0.735 (0.789) Data 0.001 (0.002) Loss 2.1909 (2.0424) Prec@1 38.750 (47.397) Prec@5 72.500 (77.903) Epoch: [47][7950/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.9111 (2.0424) Prec@1 51.875 (47.396) Prec@5 80.000 (77.903) Epoch: [47][7960/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.9528 (2.0424) Prec@1 49.375 (47.397) Prec@5 79.375 (77.903) Epoch: [47][7970/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.8256 (2.0424) Prec@1 51.875 (47.397) Prec@5 80.625 (77.904) Epoch: [47][7980/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 2.0023 (2.0425) Prec@1 43.750 (47.397) Prec@5 78.125 (77.903) Epoch: [47][7990/11272] Time 0.863 (0.790) Data 0.002 (0.002) Loss 2.0837 (2.0424) Prec@1 40.625 (47.398) Prec@5 79.375 (77.906) Epoch: [47][8000/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 2.0154 (2.0424) Prec@1 47.500 (47.399) Prec@5 76.875 (77.905) Epoch: [47][8010/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 2.3233 (2.0425) Prec@1 41.875 (47.396) Prec@5 75.625 (77.904) Epoch: [47][8020/11272] Time 0.886 (0.790) Data 0.002 (0.002) Loss 1.9184 (2.0425) Prec@1 48.125 (47.394) Prec@5 77.500 (77.902) Epoch: [47][8030/11272] Time 0.847 (0.790) Data 0.001 (0.002) Loss 2.0215 (2.0425) Prec@1 46.875 (47.395) Prec@5 78.125 (77.901) Epoch: [47][8040/11272] Time 0.751 (0.790) Data 0.002 (0.002) Loss 2.1137 (2.0426) Prec@1 47.500 (47.393) Prec@5 76.250 (77.898) Epoch: [47][8050/11272] Time 0.760 (0.790) Data 0.002 (0.002) Loss 1.9386 (2.0426) Prec@1 49.375 (47.394) Prec@5 80.625 (77.897) Epoch: [47][8060/11272] Time 0.871 (0.790) Data 0.001 (0.002) Loss 2.0099 (2.0427) Prec@1 48.750 (47.395) Prec@5 80.000 (77.897) Epoch: [47][8070/11272] Time 0.844 (0.790) Data 0.002 (0.002) Loss 1.9626 (2.0427) Prec@1 51.250 (47.395) Prec@5 79.375 (77.896) Epoch: [47][8080/11272] Time 0.751 (0.790) Data 0.001 (0.002) Loss 2.2490 (2.0427) Prec@1 41.875 (47.395) Prec@5 75.625 (77.894) Epoch: [47][8090/11272] Time 0.748 (0.790) Data 0.001 (0.002) Loss 2.0191 (2.0427) Prec@1 49.375 (47.396) Prec@5 80.625 (77.894) Epoch: [47][8100/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 2.0589 (2.0428) Prec@1 44.375 (47.395) Prec@5 81.250 (77.893) Epoch: [47][8110/11272] Time 0.874 (0.790) Data 0.002 (0.002) Loss 2.0424 (2.0428) Prec@1 48.125 (47.395) Prec@5 76.250 (77.894) Epoch: [47][8120/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 1.7479 (2.0427) Prec@1 56.250 (47.397) Prec@5 81.875 (77.896) Epoch: [47][8130/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.1500 (2.0427) Prec@1 45.000 (47.396) Prec@5 75.000 (77.895) Epoch: [47][8140/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 2.1694 (2.0428) Prec@1 44.375 (47.395) Prec@5 75.000 (77.894) Epoch: [47][8150/11272] Time 0.881 (0.790) Data 0.001 (0.002) Loss 2.2656 (2.0430) Prec@1 45.625 (47.393) Prec@5 73.750 (77.891) Epoch: [47][8160/11272] Time 0.741 (0.790) Data 0.002 (0.002) Loss 2.1865 (2.0430) Prec@1 41.250 (47.392) Prec@5 78.750 (77.892) Epoch: [47][8170/11272] Time 0.885 (0.790) Data 0.001 (0.002) Loss 2.2400 (2.0430) Prec@1 38.750 (47.390) Prec@5 73.750 (77.891) Epoch: [47][8180/11272] Time 0.888 (0.790) Data 0.002 (0.002) Loss 1.9002 (2.0430) Prec@1 53.750 (47.389) Prec@5 81.875 (77.891) Epoch: [47][8190/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.2524 (2.0431) Prec@1 48.750 (47.388) Prec@5 72.500 (77.887) Epoch: [47][8200/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 2.0282 (2.0431) Prec@1 51.250 (47.389) Prec@5 77.500 (77.887) Epoch: [47][8210/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.9908 (2.0431) Prec@1 48.125 (47.390) Prec@5 76.875 (77.886) Epoch: [47][8220/11272] Time 0.858 (0.790) Data 0.002 (0.002) Loss 2.0330 (2.0431) Prec@1 50.000 (47.389) Prec@5 75.000 (77.885) Epoch: [47][8230/11272] Time 0.735 (0.790) Data 0.001 (0.002) Loss 2.2211 (2.0431) Prec@1 44.375 (47.388) Prec@5 72.500 (77.884) Epoch: [47][8240/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 2.0704 (2.0432) Prec@1 43.750 (47.387) Prec@5 78.750 (77.883) Epoch: [47][8250/11272] Time 0.879 (0.790) Data 0.001 (0.002) Loss 2.1911 (2.0432) Prec@1 42.500 (47.385) Prec@5 76.875 (77.881) Epoch: [47][8260/11272] Time 0.846 (0.790) Data 0.001 (0.002) Loss 1.8952 (2.0433) Prec@1 46.250 (47.384) Prec@5 82.500 (77.879) Epoch: [47][8270/11272] Time 0.760 (0.790) Data 0.001 (0.002) Loss 2.0853 (2.0433) Prec@1 48.125 (47.383) Prec@5 75.625 (77.878) Epoch: [47][8280/11272] Time 0.739 (0.790) Data 0.002 (0.002) Loss 1.8149 (2.0433) Prec@1 51.250 (47.384) Prec@5 83.125 (77.879) Epoch: [47][8290/11272] Time 0.832 (0.790) Data 0.001 (0.002) Loss 1.9766 (2.0433) Prec@1 54.375 (47.385) Prec@5 78.750 (77.879) Epoch: [47][8300/11272] Time 0.784 (0.790) Data 0.002 (0.002) Loss 1.9751 (2.0433) Prec@1 50.625 (47.384) Prec@5 78.125 (77.878) Epoch: [47][8310/11272] Time 0.774 (0.790) Data 0.002 (0.002) Loss 2.3321 (2.0435) Prec@1 43.750 (47.383) Prec@5 73.750 (77.874) Epoch: [47][8320/11272] Time 0.884 (0.790) Data 0.001 (0.002) Loss 2.0934 (2.0435) Prec@1 45.625 (47.384) Prec@5 73.750 (77.874) Epoch: [47][8330/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 2.0080 (2.0435) Prec@1 46.875 (47.383) Prec@5 77.500 (77.872) Epoch: [47][8340/11272] Time 0.728 (0.790) Data 0.002 (0.002) Loss 2.3068 (2.0435) Prec@1 47.500 (47.382) Prec@5 68.750 (77.871) Epoch: [47][8350/11272] Time 0.761 (0.790) Data 0.002 (0.002) Loss 2.2243 (2.0436) Prec@1 46.250 (47.383) Prec@5 73.750 (77.870) Epoch: [47][8360/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.9946 (2.0436) Prec@1 41.875 (47.382) Prec@5 80.000 (77.871) Epoch: [47][8370/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 2.0744 (2.0436) Prec@1 47.500 (47.380) Prec@5 79.375 (77.871) Epoch: [47][8380/11272] Time 0.709 (0.790) Data 0.000 (0.002) Loss 1.9177 (2.0438) Prec@1 52.500 (47.376) Prec@5 81.250 (77.867) Epoch: [47][8390/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.4530 (2.0438) Prec@1 37.500 (47.375) Prec@5 68.750 (77.866) Epoch: [47][8400/11272] Time 0.826 (0.790) Data 0.001 (0.002) Loss 2.2302 (2.0439) Prec@1 49.375 (47.376) Prec@5 73.125 (77.864) Epoch: [47][8410/11272] Time 0.867 (0.790) Data 0.001 (0.002) Loss 1.9981 (2.0439) Prec@1 48.750 (47.375) Prec@5 80.625 (77.864) Epoch: [47][8420/11272] Time 0.730 (0.790) Data 0.002 (0.002) Loss 2.0856 (2.0440) Prec@1 47.500 (47.373) Prec@5 76.250 (77.863) Epoch: [47][8430/11272] Time 0.842 (0.790) Data 0.001 (0.002) Loss 1.8772 (2.0440) Prec@1 50.625 (47.372) Prec@5 77.500 (77.862) Epoch: [47][8440/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 2.2252 (2.0440) Prec@1 43.125 (47.372) Prec@5 74.375 (77.863) Epoch: [47][8450/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.8689 (2.0439) Prec@1 54.375 (47.372) Prec@5 80.000 (77.863) Epoch: [47][8460/11272] Time 0.753 (0.790) Data 0.002 (0.002) Loss 2.1600 (2.0440) Prec@1 50.000 (47.371) Prec@5 75.000 (77.861) Epoch: [47][8470/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 2.2251 (2.0440) Prec@1 40.625 (47.372) Prec@5 75.625 (77.861) Epoch: [47][8480/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 2.1853 (2.0440) Prec@1 45.000 (47.372) Prec@5 76.875 (77.862) Epoch: [47][8490/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 2.0804 (2.0439) Prec@1 43.750 (47.374) Prec@5 76.250 (77.863) Epoch: [47][8500/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 2.0708 (2.0440) Prec@1 48.125 (47.374) Prec@5 78.125 (77.863) Epoch: [47][8510/11272] Time 0.823 (0.790) Data 0.002 (0.002) Loss 1.7671 (2.0440) Prec@1 53.750 (47.375) Prec@5 84.375 (77.862) Epoch: [47][8520/11272] Time 0.898 (0.790) Data 0.002 (0.002) Loss 2.1799 (2.0440) Prec@1 41.250 (47.374) Prec@5 77.500 (77.862) Epoch: [47][8530/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.0993 (2.0439) Prec@1 46.875 (47.376) Prec@5 78.750 (77.863) Epoch: [47][8540/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.9257 (2.0439) Prec@1 46.250 (47.376) Prec@5 81.875 (77.864) Epoch: [47][8550/11272] Time 0.851 (0.790) Data 0.001 (0.002) Loss 2.3091 (2.0440) Prec@1 45.000 (47.373) Prec@5 74.375 (77.862) Epoch: [47][8560/11272] Time 0.732 (0.790) Data 0.003 (0.002) Loss 2.2985 (2.0440) Prec@1 43.750 (47.373) Prec@5 75.625 (77.861) Epoch: [47][8570/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 2.1534 (2.0440) Prec@1 47.500 (47.374) Prec@5 73.750 (77.859) Epoch: [47][8580/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 2.1637 (2.0441) Prec@1 41.250 (47.373) Prec@5 76.875 (77.858) Epoch: [47][8590/11272] Time 0.815 (0.790) Data 0.001 (0.002) Loss 1.6899 (2.0441) Prec@1 55.625 (47.373) Prec@5 84.375 (77.857) Epoch: [47][8600/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 2.0472 (2.0441) Prec@1 50.000 (47.372) Prec@5 81.250 (77.856) Epoch: [47][8610/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.8625 (2.0442) Prec@1 48.750 (47.372) Prec@5 81.875 (77.855) Epoch: [47][8620/11272] Time 0.866 (0.790) Data 0.001 (0.002) Loss 2.0052 (2.0442) Prec@1 46.250 (47.371) Prec@5 73.125 (77.854) Epoch: [47][8630/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 2.0957 (2.0443) Prec@1 45.625 (47.370) Prec@5 78.125 (77.854) Epoch: [47][8640/11272] Time 0.758 (0.790) Data 0.002 (0.002) Loss 2.3397 (2.0444) Prec@1 40.625 (47.367) Prec@5 71.875 (77.851) Epoch: [47][8650/11272] Time 0.750 (0.790) Data 0.002 (0.002) Loss 2.0345 (2.0443) Prec@1 49.375 (47.370) Prec@5 80.625 (77.852) Epoch: [47][8660/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 2.1128 (2.0444) Prec@1 52.500 (47.368) Prec@5 76.250 (77.851) Epoch: [47][8670/11272] Time 0.856 (0.790) Data 0.001 (0.002) Loss 1.9418 (2.0443) Prec@1 48.125 (47.369) Prec@5 82.500 (77.852) Epoch: [47][8680/11272] Time 0.744 (0.790) Data 0.001 (0.002) Loss 1.9727 (2.0444) Prec@1 49.375 (47.365) Prec@5 76.875 (77.849) Epoch: [47][8690/11272] Time 0.889 (0.790) Data 0.002 (0.002) Loss 2.0185 (2.0444) Prec@1 45.000 (47.365) Prec@5 80.000 (77.850) Epoch: [47][8700/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.9589 (2.0444) Prec@1 46.875 (47.366) Prec@5 81.250 (77.851) Epoch: [47][8710/11272] Time 0.745 (0.790) Data 0.002 (0.002) Loss 1.9459 (2.0444) Prec@1 51.250 (47.365) Prec@5 80.625 (77.851) Epoch: [47][8720/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.9115 (2.0444) Prec@1 46.250 (47.363) Prec@5 76.250 (77.850) Epoch: [47][8730/11272] Time 0.872 (0.790) Data 0.002 (0.002) Loss 2.2360 (2.0445) Prec@1 43.125 (47.359) Prec@5 74.375 (77.848) Epoch: [47][8740/11272] Time 0.842 (0.790) Data 0.002 (0.002) Loss 1.9273 (2.0447) Prec@1 45.000 (47.354) Prec@5 80.625 (77.847) Epoch: [47][8750/11272] Time 0.741 (0.790) Data 0.001 (0.002) Loss 2.0400 (2.0446) Prec@1 47.500 (47.357) Prec@5 81.250 (77.847) Epoch: [47][8760/11272] Time 0.777 (0.790) Data 0.002 (0.002) Loss 2.0733 (2.0446) Prec@1 48.750 (47.358) Prec@5 77.500 (77.848) Epoch: [47][8770/11272] Time 0.847 (0.790) Data 0.001 (0.002) Loss 1.9740 (2.0446) Prec@1 46.250 (47.358) Prec@5 78.125 (77.848) Epoch: [47][8780/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 2.2042 (2.0445) Prec@1 40.625 (47.359) Prec@5 75.000 (77.850) Epoch: [47][8790/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 2.2549 (2.0446) Prec@1 45.000 (47.359) Prec@5 75.625 (77.849) Epoch: [47][8800/11272] Time 0.740 (0.790) Data 0.002 (0.002) Loss 1.9351 (2.0446) Prec@1 45.625 (47.359) Prec@5 84.375 (77.850) Epoch: [47][8810/11272] Time 0.867 (0.790) Data 0.002 (0.002) Loss 2.1899 (2.0446) Prec@1 43.125 (47.359) Prec@5 79.375 (77.851) Epoch: [47][8820/11272] Time 0.745 (0.790) Data 0.004 (0.002) Loss 1.9539 (2.0446) Prec@1 49.375 (47.359) Prec@5 80.000 (77.851) Epoch: [47][8830/11272] Time 0.750 (0.790) Data 0.002 (0.002) Loss 2.0411 (2.0446) Prec@1 47.500 (47.360) Prec@5 78.750 (77.851) Epoch: [47][8840/11272] Time 0.838 (0.790) Data 0.002 (0.002) Loss 2.2121 (2.0446) Prec@1 41.250 (47.359) Prec@5 70.625 (77.850) Epoch: [47][8850/11272] Time 0.888 (0.790) Data 0.001 (0.002) Loss 2.0729 (2.0447) Prec@1 41.875 (47.359) Prec@5 76.250 (77.847) Epoch: [47][8860/11272] Time 0.737 (0.790) Data 0.001 (0.002) Loss 1.8277 (2.0447) Prec@1 55.000 (47.359) Prec@5 79.375 (77.847) Epoch: [47][8870/11272] Time 0.752 (0.790) Data 0.001 (0.002) Loss 2.1063 (2.0447) Prec@1 48.125 (47.358) Prec@5 79.375 (77.848) Epoch: [47][8880/11272] Time 0.864 (0.790) Data 0.001 (0.002) Loss 2.1502 (2.0447) Prec@1 48.750 (47.359) Prec@5 75.000 (77.848) Epoch: [47][8890/11272] Time 0.862 (0.790) Data 0.001 (0.002) Loss 1.9902 (2.0446) Prec@1 50.000 (47.360) Prec@5 81.250 (77.850) Epoch: [47][8900/11272] Time 0.732 (0.790) Data 0.002 (0.002) Loss 1.9002 (2.0447) Prec@1 50.625 (47.360) Prec@5 80.000 (77.849) Epoch: [47][8910/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.3410 (2.0448) Prec@1 41.875 (47.354) Prec@5 71.875 (77.847) Epoch: [47][8920/11272] Time 0.851 (0.790) Data 0.001 (0.002) Loss 1.9326 (2.0448) Prec@1 46.875 (47.353) Prec@5 81.250 (77.848) Epoch: [47][8930/11272] Time 0.815 (0.790) Data 0.001 (0.002) Loss 2.2463 (2.0449) Prec@1 41.875 (47.351) Prec@5 71.250 (77.845) Epoch: [47][8940/11272] Time 0.767 (0.790) Data 0.001 (0.002) Loss 2.2923 (2.0450) Prec@1 37.500 (47.350) Prec@5 74.375 (77.845) Epoch: [47][8950/11272] Time 0.873 (0.790) Data 0.002 (0.002) Loss 2.1940 (2.0451) Prec@1 46.250 (47.350) Prec@5 78.750 (77.844) Epoch: [47][8960/11272] Time 0.940 (0.790) Data 0.001 (0.002) Loss 1.9706 (2.0450) Prec@1 48.125 (47.350) Prec@5 81.875 (77.845) Epoch: [47][8970/11272] Time 0.703 (0.791) Data 0.001 (0.002) Loss 2.0321 (2.0449) Prec@1 42.500 (47.350) Prec@5 80.625 (77.848) Epoch: [47][8980/11272] Time 0.732 (0.791) Data 0.002 (0.002) Loss 2.3320 (2.0450) Prec@1 44.375 (47.349) Prec@5 74.375 (77.848) Epoch: [47][8990/11272] Time 0.850 (0.791) Data 0.001 (0.002) Loss 1.9722 (2.0449) Prec@1 47.500 (47.351) Prec@5 83.750 (77.849) Epoch: [47][9000/11272] Time 0.841 (0.791) Data 0.001 (0.002) Loss 2.1817 (2.0449) Prec@1 38.750 (47.352) Prec@5 75.625 (77.849) Epoch: [47][9010/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 2.0203 (2.0448) Prec@1 47.500 (47.352) Prec@5 76.250 (77.850) Epoch: [47][9020/11272] Time 0.752 (0.791) Data 0.002 (0.002) Loss 2.1286 (2.0449) Prec@1 43.750 (47.350) Prec@5 77.500 (77.849) Epoch: [47][9030/11272] Time 0.839 (0.791) Data 0.001 (0.002) Loss 2.0200 (2.0449) Prec@1 48.125 (47.351) Prec@5 82.500 (77.849) Epoch: [47][9040/11272] Time 0.819 (0.791) Data 0.001 (0.002) Loss 1.9454 (2.0449) Prec@1 49.375 (47.351) Prec@5 80.000 (77.849) Epoch: [47][9050/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 1.9333 (2.0449) Prec@1 47.500 (47.353) Prec@5 80.625 (77.848) Epoch: [47][9060/11272] Time 0.717 (0.791) Data 0.002 (0.002) Loss 2.1383 (2.0449) Prec@1 43.750 (47.352) Prec@5 79.375 (77.849) Epoch: [47][9070/11272] Time 0.855 (0.791) Data 0.001 (0.002) Loss 2.0504 (2.0449) Prec@1 44.375 (47.353) Prec@5 79.375 (77.848) Epoch: [47][9080/11272] Time 0.809 (0.791) Data 0.001 (0.002) Loss 2.1651 (2.0449) Prec@1 42.500 (47.351) Prec@5 76.250 (77.847) Epoch: [47][9090/11272] Time 0.721 (0.791) Data 0.001 (0.002) Loss 2.1805 (2.0449) Prec@1 41.250 (47.350) Prec@5 75.625 (77.848) Epoch: [47][9100/11272] Time 0.894 (0.791) Data 0.002 (0.002) Loss 2.0172 (2.0449) Prec@1 50.000 (47.352) Prec@5 76.875 (77.849) Epoch: [47][9110/11272] Time 0.822 (0.791) Data 0.001 (0.002) Loss 2.0256 (2.0448) Prec@1 49.375 (47.353) Prec@5 76.875 (77.849) Epoch: [47][9120/11272] Time 0.737 (0.791) Data 0.002 (0.002) Loss 2.1672 (2.0448) Prec@1 43.750 (47.352) Prec@5 73.750 (77.849) Epoch: [47][9130/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 2.0779 (2.0448) Prec@1 42.500 (47.350) Prec@5 78.125 (77.849) Epoch: [47][9140/11272] Time 0.842 (0.791) Data 0.001 (0.002) Loss 2.1757 (2.0449) Prec@1 46.875 (47.350) Prec@5 75.000 (77.848) Epoch: [47][9150/11272] Time 0.844 (0.791) Data 0.001 (0.002) Loss 2.0984 (2.0449) Prec@1 45.000 (47.350) Prec@5 75.000 (77.847) Epoch: [47][9160/11272] Time 0.729 (0.791) Data 0.002 (0.002) Loss 2.1166 (2.0450) Prec@1 46.875 (47.349) Prec@5 75.625 (77.847) Epoch: [47][9170/11272] Time 0.730 (0.791) Data 0.001 (0.002) Loss 1.9949 (2.0450) Prec@1 49.375 (47.349) Prec@5 83.750 (77.849) Epoch: [47][9180/11272] Time 0.844 (0.791) Data 0.001 (0.002) Loss 2.0648 (2.0451) Prec@1 45.000 (47.347) Prec@5 76.875 (77.847) Epoch: [47][9190/11272] Time 0.846 (0.791) Data 0.001 (0.002) Loss 2.0194 (2.0450) Prec@1 48.125 (47.348) Prec@5 77.500 (77.848) Epoch: [47][9200/11272] Time 0.746 (0.791) Data 0.002 (0.002) Loss 1.7700 (2.0449) Prec@1 52.500 (47.349) Prec@5 77.500 (77.848) Epoch: [47][9210/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 1.8125 (2.0449) Prec@1 49.375 (47.350) Prec@5 82.500 (77.849) Epoch: [47][9220/11272] Time 0.844 (0.791) Data 0.001 (0.002) Loss 1.9468 (2.0448) Prec@1 46.250 (47.349) Prec@5 85.625 (77.850) Epoch: [47][9230/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.1490 (2.0448) Prec@1 48.125 (47.349) Prec@5 76.250 (77.851) Epoch: [47][9240/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.0918 (2.0448) Prec@1 45.625 (47.347) Prec@5 73.750 (77.851) Epoch: [47][9250/11272] Time 0.874 (0.791) Data 0.002 (0.002) Loss 2.1925 (2.0449) Prec@1 41.875 (47.345) Prec@5 74.375 (77.848) Epoch: [47][9260/11272] Time 0.871 (0.791) Data 0.002 (0.002) Loss 1.9741 (2.0449) Prec@1 53.125 (47.345) Prec@5 75.625 (77.848) Epoch: [47][9270/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 1.9990 (2.0449) Prec@1 48.750 (47.344) Prec@5 80.625 (77.847) Epoch: [47][9280/11272] Time 0.734 (0.791) Data 0.002 (0.002) Loss 1.8694 (2.0450) Prec@1 47.500 (47.343) Prec@5 79.375 (77.846) Epoch: [47][9290/11272] Time 0.861 (0.791) Data 0.002 (0.002) Loss 1.8113 (2.0451) Prec@1 54.375 (47.340) Prec@5 80.625 (77.844) Epoch: [47][9300/11272] Time 0.835 (0.791) Data 0.002 (0.002) Loss 2.0659 (2.0452) Prec@1 47.500 (47.339) Prec@5 77.500 (77.841) Epoch: [47][9310/11272] Time 0.747 (0.791) Data 0.002 (0.002) Loss 2.1176 (2.0452) Prec@1 41.875 (47.338) Prec@5 75.625 (77.840) Epoch: [47][9320/11272] Time 0.727 (0.791) Data 0.002 (0.002) Loss 2.1643 (2.0452) Prec@1 45.625 (47.336) Prec@5 76.875 (77.839) Epoch: [47][9330/11272] Time 0.891 (0.791) Data 0.002 (0.002) Loss 2.1219 (2.0452) Prec@1 46.250 (47.336) Prec@5 75.625 (77.839) Epoch: [47][9340/11272] Time 0.821 (0.791) Data 0.001 (0.002) Loss 1.7712 (2.0452) Prec@1 52.500 (47.334) Prec@5 82.500 (77.840) Epoch: [47][9350/11272] Time 0.763 (0.791) Data 0.002 (0.002) Loss 2.2211 (2.0453) Prec@1 48.125 (47.332) Prec@5 74.375 (77.839) Epoch: [47][9360/11272] Time 0.893 (0.791) Data 0.001 (0.002) Loss 1.8928 (2.0453) Prec@1 47.500 (47.332) Prec@5 83.125 (77.840) Epoch: [47][9370/11272] Time 0.874 (0.791) Data 0.001 (0.002) Loss 2.3727 (2.0453) Prec@1 46.250 (47.332) Prec@5 70.000 (77.840) Epoch: [47][9380/11272] Time 0.736 (0.791) Data 0.001 (0.002) Loss 1.9497 (2.0453) Prec@1 49.375 (47.331) Prec@5 81.250 (77.841) Epoch: [47][9390/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 1.9073 (2.0453) Prec@1 51.250 (47.330) Prec@5 80.000 (77.841) Epoch: [47][9400/11272] Time 0.868 (0.791) Data 0.001 (0.002) Loss 1.8895 (2.0454) Prec@1 47.500 (47.327) Prec@5 82.500 (77.840) Epoch: [47][9410/11272] Time 0.855 (0.791) Data 0.002 (0.002) Loss 2.0766 (2.0455) Prec@1 49.375 (47.325) Prec@5 75.625 (77.838) Epoch: [47][9420/11272] Time 0.746 (0.791) Data 0.002 (0.002) Loss 2.3946 (2.0456) Prec@1 40.000 (47.324) Prec@5 70.625 (77.838) Epoch: [47][9430/11272] Time 0.752 (0.791) Data 0.002 (0.002) Loss 2.1555 (2.0456) Prec@1 48.750 (47.323) Prec@5 75.625 (77.838) Epoch: [47][9440/11272] Time 0.842 (0.791) Data 0.002 (0.002) Loss 1.8972 (2.0455) Prec@1 49.375 (47.323) Prec@5 81.875 (77.839) Epoch: [47][9450/11272] Time 0.842 (0.791) Data 0.001 (0.002) Loss 2.1208 (2.0456) Prec@1 43.125 (47.322) Prec@5 75.625 (77.839) Epoch: [47][9460/11272] Time 0.746 (0.791) Data 0.001 (0.002) Loss 2.3761 (2.0456) Prec@1 40.625 (47.321) Prec@5 69.375 (77.838) Epoch: [47][9470/11272] Time 0.742 (0.791) Data 0.001 (0.002) Loss 2.1321 (2.0457) Prec@1 43.125 (47.320) Prec@5 77.500 (77.836) Epoch: [47][9480/11272] Time 0.887 (0.791) Data 0.002 (0.002) Loss 1.9849 (2.0458) Prec@1 50.625 (47.318) Prec@5 76.250 (77.835) Epoch: [47][9490/11272] Time 0.729 (0.791) Data 0.003 (0.002) Loss 1.9950 (2.0457) Prec@1 49.375 (47.320) Prec@5 78.750 (77.834) Epoch: [47][9500/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.0395 (2.0457) Prec@1 45.000 (47.320) Prec@5 76.250 (77.836) Epoch: [47][9510/11272] Time 0.828 (0.791) Data 0.002 (0.002) Loss 2.4502 (2.0457) Prec@1 37.500 (47.320) Prec@5 75.625 (77.836) Epoch: [47][9520/11272] Time 0.839 (0.791) Data 0.001 (0.002) Loss 2.0444 (2.0458) Prec@1 47.500 (47.320) Prec@5 79.375 (77.835) Epoch: [47][9530/11272] Time 0.756 (0.791) Data 0.001 (0.002) Loss 2.0237 (2.0459) Prec@1 46.875 (47.318) Prec@5 78.125 (77.834) Epoch: [47][9540/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 1.6831 (2.0459) Prec@1 51.875 (47.317) Prec@5 86.250 (77.834) Epoch: [47][9550/11272] Time 0.859 (0.791) Data 0.002 (0.002) Loss 2.3033 (2.0460) Prec@1 36.250 (47.315) Prec@5 73.125 (77.833) Epoch: [47][9560/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 2.0028 (2.0461) Prec@1 45.625 (47.313) Prec@5 78.125 (77.832) Epoch: [47][9570/11272] Time 0.765 (0.791) Data 0.002 (0.002) Loss 2.1393 (2.0461) Prec@1 46.250 (47.313) Prec@5 79.375 (77.832) Epoch: [47][9580/11272] Time 0.707 (0.791) Data 0.001 (0.002) Loss 2.0782 (2.0461) Prec@1 48.750 (47.314) Prec@5 77.500 (77.832) Epoch: [47][9590/11272] Time 0.832 (0.791) Data 0.002 (0.002) Loss 2.0506 (2.0462) Prec@1 45.000 (47.314) Prec@5 75.000 (77.831) Epoch: [47][9600/11272] Time 0.817 (0.791) Data 0.002 (0.002) Loss 2.0752 (2.0461) Prec@1 46.250 (47.315) Prec@5 80.625 (77.831) Epoch: [47][9610/11272] Time 0.724 (0.791) Data 0.001 (0.002) Loss 1.9489 (2.0462) Prec@1 48.750 (47.313) Prec@5 80.625 (77.831) Epoch: [47][9620/11272] Time 0.876 (0.791) Data 0.001 (0.002) Loss 2.3291 (2.0462) Prec@1 47.500 (47.314) Prec@5 71.875 (77.830) Epoch: [47][9630/11272] Time 0.821 (0.791) Data 0.001 (0.002) Loss 1.8200 (2.0462) Prec@1 53.125 (47.314) Prec@5 82.500 (77.831) Epoch: [47][9640/11272] Time 0.743 (0.791) Data 0.002 (0.002) Loss 2.1607 (2.0462) Prec@1 41.875 (47.315) Prec@5 78.750 (77.830) Epoch: [47][9650/11272] Time 0.725 (0.791) Data 0.002 (0.002) Loss 1.9586 (2.0462) Prec@1 46.250 (47.316) Prec@5 76.875 (77.831) Epoch: [47][9660/11272] Time 0.915 (0.791) Data 0.002 (0.002) Loss 2.1101 (2.0462) Prec@1 43.125 (47.314) Prec@5 80.625 (77.831) Epoch: [47][9670/11272] Time 0.853 (0.791) Data 0.002 (0.002) Loss 2.0562 (2.0462) Prec@1 45.000 (47.314) Prec@5 80.000 (77.831) Epoch: [47][9680/11272] Time 0.719 (0.791) Data 0.001 (0.002) Loss 1.9871 (2.0461) Prec@1 41.875 (47.315) Prec@5 80.625 (77.833) Epoch: [47][9690/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 1.8536 (2.0461) Prec@1 55.625 (47.315) Prec@5 78.125 (77.833) Epoch: [47][9700/11272] Time 0.847 (0.791) Data 0.001 (0.002) Loss 1.9700 (2.0461) Prec@1 53.125 (47.317) Prec@5 79.375 (77.834) Epoch: [47][9710/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 1.8420 (2.0461) Prec@1 48.750 (47.316) Prec@5 82.500 (77.835) Epoch: [47][9720/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 1.9147 (2.0461) Prec@1 47.500 (47.316) Prec@5 74.375 (77.834) Epoch: [47][9730/11272] Time 0.729 (0.791) Data 0.002 (0.002) Loss 1.9276 (2.0461) Prec@1 51.875 (47.316) Prec@5 83.750 (77.835) Epoch: [47][9740/11272] Time 0.857 (0.791) Data 0.002 (0.002) Loss 1.9517 (2.0461) Prec@1 49.375 (47.317) Prec@5 80.000 (77.834) Epoch: [47][9750/11272] Time 0.767 (0.791) Data 0.003 (0.002) Loss 2.0481 (2.0461) Prec@1 49.375 (47.320) Prec@5 73.750 (77.833) Epoch: [47][9760/11272] Time 0.765 (0.791) Data 0.002 (0.002) Loss 2.2453 (2.0460) Prec@1 43.750 (47.320) Prec@5 74.375 (77.834) Epoch: [47][9770/11272] Time 0.866 (0.791) Data 0.002 (0.002) Loss 2.2529 (2.0460) Prec@1 44.375 (47.319) Prec@5 74.375 (77.834) Epoch: [47][9780/11272] Time 0.824 (0.791) Data 0.002 (0.002) Loss 2.1704 (2.0461) Prec@1 43.750 (47.318) Prec@5 75.625 (77.831) Epoch: [47][9790/11272] Time 0.744 (0.791) Data 0.002 (0.002) Loss 2.3067 (2.0462) Prec@1 36.875 (47.316) Prec@5 78.125 (77.831) Epoch: [47][9800/11272] Time 0.738 (0.791) Data 0.001 (0.002) Loss 1.9925 (2.0463) Prec@1 46.250 (47.314) Prec@5 79.375 (77.830) Epoch: [47][9810/11272] Time 0.837 (0.791) Data 0.001 (0.002) Loss 2.2546 (2.0463) Prec@1 43.125 (47.313) Prec@5 75.000 (77.831) Epoch: [47][9820/11272] Time 0.829 (0.791) Data 0.001 (0.002) Loss 2.1740 (2.0463) Prec@1 42.500 (47.312) Prec@5 75.000 (77.830) Epoch: [47][9830/11272] Time 0.731 (0.791) Data 0.002 (0.002) Loss 1.7372 (2.0462) Prec@1 55.000 (47.312) Prec@5 83.750 (77.831) Epoch: [47][9840/11272] Time 0.740 (0.791) Data 0.002 (0.002) Loss 2.2698 (2.0463) Prec@1 38.750 (47.311) Prec@5 74.375 (77.830) Epoch: [47][9850/11272] Time 0.837 (0.791) Data 0.001 (0.002) Loss 2.0013 (2.0464) Prec@1 43.125 (47.308) Prec@5 76.875 (77.829) Epoch: [47][9860/11272] Time 0.820 (0.791) Data 0.001 (0.002) Loss 1.9994 (2.0463) Prec@1 45.000 (47.309) Prec@5 80.000 (77.829) Epoch: [47][9870/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 2.0869 (2.0463) Prec@1 45.000 (47.308) Prec@5 80.000 (77.830) Epoch: [47][9880/11272] Time 0.878 (0.791) Data 0.001 (0.002) Loss 2.1620 (2.0464) Prec@1 44.375 (47.307) Prec@5 75.625 (77.829) Epoch: [47][9890/11272] Time 0.866 (0.791) Data 0.002 (0.002) Loss 2.1332 (2.0464) Prec@1 47.500 (47.307) Prec@5 74.375 (77.829) Epoch: [47][9900/11272] Time 0.739 (0.791) Data 0.002 (0.002) Loss 2.0490 (2.0465) Prec@1 50.000 (47.306) Prec@5 75.625 (77.827) Epoch: [47][9910/11272] Time 0.728 (0.791) Data 0.002 (0.002) Loss 2.1425 (2.0465) Prec@1 41.250 (47.304) Prec@5 76.875 (77.826) Epoch: [47][9920/11272] Time 0.882 (0.791) Data 0.001 (0.002) Loss 2.1981 (2.0465) Prec@1 43.750 (47.303) Prec@5 76.875 (77.826) Epoch: [47][9930/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 1.9902 (2.0466) Prec@1 48.750 (47.302) Prec@5 78.750 (77.825) Epoch: [47][9940/11272] Time 0.741 (0.791) Data 0.002 (0.002) Loss 1.8122 (2.0465) Prec@1 48.750 (47.302) Prec@5 81.250 (77.825) Epoch: [47][9950/11272] Time 0.737 (0.791) Data 0.001 (0.002) Loss 2.1887 (2.0466) Prec@1 45.000 (47.301) Prec@5 76.250 (77.825) Epoch: [47][9960/11272] Time 0.868 (0.791) Data 0.001 (0.002) Loss 2.1811 (2.0466) Prec@1 40.625 (47.302) Prec@5 78.125 (77.826) Epoch: [47][9970/11272] Time 0.867 (0.791) Data 0.002 (0.002) Loss 2.0903 (2.0467) Prec@1 45.000 (47.301) Prec@5 75.625 (77.824) Epoch: [47][9980/11272] Time 0.760 (0.791) Data 0.002 (0.002) Loss 2.0827 (2.0466) Prec@1 48.750 (47.303) Prec@5 76.875 (77.826) Epoch: [47][9990/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 2.0947 (2.0466) Prec@1 46.875 (47.302) Prec@5 71.875 (77.826) Epoch: [47][10000/11272] Time 0.905 (0.791) Data 0.001 (0.002) Loss 2.1597 (2.0466) Prec@1 41.250 (47.301) Prec@5 78.750 (77.826) Epoch: [47][10010/11272] Time 0.840 (0.791) Data 0.002 (0.002) Loss 2.1790 (2.0467) Prec@1 44.375 (47.300) Prec@5 73.125 (77.826) Epoch: [47][10020/11272] Time 0.739 (0.791) Data 0.002 (0.002) Loss 1.9975 (2.0467) Prec@1 48.125 (47.301) Prec@5 77.500 (77.825) Epoch: [47][10030/11272] Time 0.850 (0.791) Data 0.001 (0.002) Loss 2.0840 (2.0467) Prec@1 47.500 (47.300) Prec@5 77.500 (77.826) Epoch: [47][10040/11272] Time 0.847 (0.791) Data 0.001 (0.002) Loss 1.8378 (2.0467) Prec@1 53.125 (47.300) Prec@5 80.000 (77.826) Epoch: [47][10050/11272] Time 0.709 (0.791) Data 0.001 (0.002) Loss 1.8247 (2.0466) Prec@1 52.500 (47.302) Prec@5 84.375 (77.828) Epoch: [47][10060/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 2.0434 (2.0466) Prec@1 45.000 (47.301) Prec@5 81.250 (77.829) Epoch: [47][10070/11272] Time 0.872 (0.791) Data 0.002 (0.002) Loss 2.0305 (2.0467) Prec@1 50.000 (47.300) Prec@5 76.875 (77.828) Epoch: [47][10080/11272] Time 0.873 (0.791) Data 0.002 (0.002) Loss 2.0348 (2.0467) Prec@1 44.375 (47.301) Prec@5 81.250 (77.827) Epoch: [47][10090/11272] Time 0.743 (0.791) Data 0.001 (0.002) Loss 1.8438 (2.0467) Prec@1 53.750 (47.302) Prec@5 80.625 (77.827) Epoch: [47][10100/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 2.0776 (2.0467) Prec@1 45.000 (47.301) Prec@5 77.500 (77.827) Epoch: [47][10110/11272] Time 0.856 (0.791) Data 0.001 (0.002) Loss 1.8841 (2.0467) Prec@1 50.000 (47.301) Prec@5 81.250 (77.826) Epoch: [47][10120/11272] Time 0.858 (0.791) Data 0.001 (0.002) Loss 2.0207 (2.0466) Prec@1 46.250 (47.301) Prec@5 79.375 (77.827) Epoch: [47][10130/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 1.8404 (2.0466) Prec@1 48.125 (47.302) Prec@5 83.125 (77.827) Epoch: [47][10140/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 2.1933 (2.0467) Prec@1 43.125 (47.301) Prec@5 80.000 (77.827) Epoch: [47][10150/11272] Time 0.881 (0.791) Data 0.002 (0.002) Loss 2.2341 (2.0467) Prec@1 43.125 (47.300) Prec@5 76.250 (77.827) Epoch: [47][10160/11272] Time 0.707 (0.791) Data 0.001 (0.002) Loss 2.0443 (2.0467) Prec@1 46.875 (47.301) Prec@5 76.875 (77.827) Epoch: [47][10170/11272] Time 0.719 (0.791) Data 0.001 (0.002) Loss 2.1451 (2.0467) Prec@1 45.625 (47.302) Prec@5 76.875 (77.826) Epoch: [47][10180/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 2.0154 (2.0467) Prec@1 48.125 (47.304) Prec@5 79.375 (77.827) Epoch: [47][10190/11272] Time 0.878 (0.791) Data 0.002 (0.002) Loss 2.0568 (2.0467) Prec@1 46.875 (47.304) Prec@5 80.000 (77.827) Epoch: [47][10200/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 2.2325 (2.0467) Prec@1 48.125 (47.303) Prec@5 76.250 (77.827) Epoch: [47][10210/11272] Time 0.761 (0.791) Data 0.002 (0.002) Loss 2.2396 (2.0467) Prec@1 45.625 (47.301) Prec@5 75.000 (77.827) Epoch: [47][10220/11272] Time 1.075 (0.792) Data 0.002 (0.002) Loss 2.2548 (2.0468) Prec@1 41.250 (47.300) Prec@5 70.000 (77.827) Epoch: [47][10230/11272] Time 0.841 (0.792) Data 0.001 (0.002) Loss 2.0754 (2.0468) Prec@1 45.625 (47.298) Prec@5 76.875 (77.826) Epoch: [47][10240/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 2.1430 (2.0469) Prec@1 42.500 (47.296) Prec@5 77.500 (77.825) Epoch: [47][10250/11272] Time 0.725 (0.792) Data 0.001 (0.002) Loss 2.1033 (2.0468) Prec@1 43.125 (47.297) Prec@5 80.000 (77.826) Epoch: [47][10260/11272] Time 1.011 (0.792) Data 0.001 (0.002) Loss 2.0245 (2.0468) Prec@1 46.875 (47.296) Prec@5 80.000 (77.826) Epoch: [47][10270/11272] Time 0.843 (0.792) Data 0.001 (0.002) Loss 2.1130 (2.0468) Prec@1 45.625 (47.297) Prec@5 75.000 (77.826) Epoch: [47][10280/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 1.9106 (2.0467) Prec@1 50.625 (47.298) Prec@5 83.750 (77.829) Epoch: [47][10290/11272] Time 0.853 (0.792) Data 0.001 (0.002) Loss 1.8835 (2.0468) Prec@1 54.375 (47.297) Prec@5 80.625 (77.829) Epoch: [47][10300/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.2417 (2.0468) Prec@1 42.500 (47.297) Prec@5 74.375 (77.827) Epoch: [47][10310/11272] Time 0.730 (0.792) Data 0.001 (0.002) Loss 1.8984 (2.0468) Prec@1 45.000 (47.297) Prec@5 80.000 (77.826) Epoch: [47][10320/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.9429 (2.0467) Prec@1 50.000 (47.298) Prec@5 81.250 (77.828) Epoch: [47][10330/11272] Time 0.904 (0.792) Data 0.001 (0.002) Loss 2.2573 (2.0468) Prec@1 45.625 (47.298) Prec@5 70.000 (77.828) Epoch: [47][10340/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 1.8460 (2.0466) Prec@1 51.875 (47.301) Prec@5 82.500 (77.830) Epoch: [47][10350/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 2.0685 (2.0467) Prec@1 43.125 (47.301) Prec@5 76.875 (77.829) Epoch: [47][10360/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.0907 (2.0467) Prec@1 43.750 (47.301) Prec@5 74.375 (77.828) Epoch: [47][10370/11272] Time 0.846 (0.792) Data 0.002 (0.002) Loss 2.0722 (2.0467) Prec@1 44.375 (47.298) Prec@5 74.375 (77.828) Epoch: [47][10380/11272] Time 0.863 (0.792) Data 0.001 (0.002) Loss 2.1429 (2.0466) Prec@1 43.125 (47.299) Prec@5 75.625 (77.828) Epoch: [47][10390/11272] Time 0.755 (0.792) Data 0.001 (0.002) Loss 1.9552 (2.0466) Prec@1 53.750 (47.300) Prec@5 81.250 (77.829) Epoch: [47][10400/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 1.8975 (2.0466) Prec@1 52.500 (47.301) Prec@5 79.375 (77.831) Epoch: [47][10410/11272] Time 0.872 (0.792) Data 0.002 (0.002) Loss 2.0267 (2.0466) Prec@1 46.250 (47.302) Prec@5 78.750 (77.831) Epoch: [47][10420/11272] Time 0.732 (0.792) Data 0.003 (0.002) Loss 2.1110 (2.0466) Prec@1 43.125 (47.300) Prec@5 76.875 (77.830) Epoch: [47][10430/11272] Time 0.736 (0.792) Data 0.001 (0.002) Loss 1.9347 (2.0466) Prec@1 48.750 (47.299) Prec@5 76.875 (77.829) Epoch: [47][10440/11272] Time 0.867 (0.792) Data 0.001 (0.002) Loss 1.9466 (2.0466) Prec@1 51.250 (47.300) Prec@5 81.875 (77.830) Epoch: [47][10450/11272] Time 0.862 (0.792) Data 0.002 (0.002) Loss 2.1156 (2.0466) Prec@1 48.125 (47.301) Prec@5 80.000 (77.831) Epoch: [47][10460/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 2.3240 (2.0466) Prec@1 45.625 (47.300) Prec@5 70.000 (77.831) Epoch: [47][10470/11272] Time 0.753 (0.792) Data 0.002 (0.002) Loss 1.7774 (2.0465) Prec@1 53.125 (47.301) Prec@5 84.375 (77.832) Epoch: [47][10480/11272] Time 0.874 (0.792) Data 0.001 (0.002) Loss 1.9284 (2.0465) Prec@1 50.000 (47.302) Prec@5 80.625 (77.831) Epoch: [47][10490/11272] Time 0.873 (0.792) Data 0.002 (0.002) Loss 2.0823 (2.0465) Prec@1 48.125 (47.303) Prec@5 74.375 (77.831) Epoch: [47][10500/11272] Time 0.765 (0.792) Data 0.002 (0.002) Loss 1.9620 (2.0465) Prec@1 46.250 (47.302) Prec@5 78.125 (77.831) Epoch: [47][10510/11272] Time 0.762 (0.792) Data 0.001 (0.002) Loss 1.9031 (2.0466) Prec@1 51.250 (47.300) Prec@5 81.250 (77.830) Epoch: [47][10520/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 2.3123 (2.0466) Prec@1 40.000 (47.299) Prec@5 73.750 (77.829) Epoch: [47][10530/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 2.0597 (2.0466) Prec@1 43.125 (47.298) Prec@5 81.250 (77.830) Epoch: [47][10540/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 1.9762 (2.0466) Prec@1 49.375 (47.297) Prec@5 76.875 (77.828) Epoch: [47][10550/11272] Time 0.890 (0.792) Data 0.001 (0.002) Loss 1.9183 (2.0466) Prec@1 53.125 (47.298) Prec@5 81.875 (77.829) Epoch: [47][10560/11272] Time 0.873 (0.792) Data 0.001 (0.002) Loss 1.8907 (2.0466) Prec@1 49.375 (47.298) Prec@5 78.125 (77.830) Epoch: [47][10570/11272] Time 0.728 (0.792) Data 0.002 (0.002) Loss 2.2953 (2.0466) Prec@1 41.250 (47.298) Prec@5 73.125 (77.828) Epoch: [47][10580/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 1.9716 (2.0468) Prec@1 49.375 (47.294) Prec@5 81.250 (77.826) Epoch: [47][10590/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 2.1011 (2.0468) Prec@1 43.125 (47.295) Prec@5 74.375 (77.824) Epoch: [47][10600/11272] Time 0.839 (0.792) Data 0.001 (0.002) Loss 2.3624 (2.0469) Prec@1 41.250 (47.293) Prec@5 70.625 (77.823) Epoch: [47][10610/11272] Time 0.764 (0.792) Data 0.001 (0.002) Loss 2.0164 (2.0468) Prec@1 40.625 (47.293) Prec@5 83.750 (77.825) Epoch: [47][10620/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.9936 (2.0468) Prec@1 46.875 (47.293) Prec@5 76.875 (77.825) Epoch: [47][10630/11272] Time 0.856 (0.792) Data 0.001 (0.002) Loss 2.0775 (2.0468) Prec@1 50.625 (47.294) Prec@5 78.125 (77.826) Epoch: [47][10640/11272] Time 0.920 (0.792) Data 0.002 (0.002) Loss 2.1282 (2.0468) Prec@1 45.000 (47.292) Prec@5 76.250 (77.826) Epoch: [47][10650/11272] Time 0.759 (0.792) Data 0.001 (0.002) Loss 1.9602 (2.0469) Prec@1 46.875 (47.292) Prec@5 78.125 (77.825) Epoch: [47][10660/11272] Time 0.735 (0.792) Data 0.001 (0.002) Loss 1.9920 (2.0469) Prec@1 46.250 (47.293) Prec@5 77.500 (77.825) Epoch: [47][10670/11272] Time 0.834 (0.792) Data 0.001 (0.002) Loss 2.1103 (2.0469) Prec@1 45.000 (47.294) Prec@5 75.625 (77.824) Epoch: [47][10680/11272] Time 0.720 (0.792) Data 0.004 (0.002) Loss 2.3654 (2.0470) Prec@1 38.125 (47.292) Prec@5 68.125 (77.823) Epoch: [47][10690/11272] Time 0.751 (0.792) Data 0.002 (0.002) Loss 2.0207 (2.0470) Prec@1 43.750 (47.291) Prec@5 76.250 (77.822) Epoch: [47][10700/11272] Time 0.871 (0.792) Data 0.002 (0.002) Loss 2.1971 (2.0471) Prec@1 43.750 (47.290) Prec@5 73.125 (77.820) Epoch: [47][10710/11272] Time 0.865 (0.792) Data 0.002 (0.002) Loss 2.2909 (2.0470) Prec@1 41.875 (47.291) Prec@5 75.000 (77.822) Epoch: [47][10720/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 1.9031 (2.0470) Prec@1 50.625 (47.292) Prec@5 80.625 (77.822) Epoch: [47][10730/11272] Time 0.772 (0.792) Data 0.001 (0.002) Loss 2.0092 (2.0470) Prec@1 48.750 (47.292) Prec@5 79.375 (77.822) Epoch: [47][10740/11272] Time 0.865 (0.792) Data 0.001 (0.002) Loss 1.8142 (2.0471) Prec@1 49.375 (47.290) Prec@5 83.125 (77.821) Epoch: [47][10750/11272] Time 0.832 (0.792) Data 0.001 (0.002) Loss 2.1669 (2.0471) Prec@1 46.875 (47.290) Prec@5 74.375 (77.820) Epoch: [47][10760/11272] Time 0.746 (0.792) Data 0.002 (0.002) Loss 2.2586 (2.0471) Prec@1 47.500 (47.289) Prec@5 76.250 (77.821) Epoch: [47][10770/11272] Time 0.746 (0.792) Data 0.001 (0.002) Loss 2.0329 (2.0472) Prec@1 50.625 (47.289) Prec@5 76.250 (77.819) Epoch: [47][10780/11272] Time 0.813 (0.792) Data 0.001 (0.002) Loss 2.1088 (2.0472) Prec@1 46.875 (47.288) Prec@5 80.625 (77.820) Epoch: [47][10790/11272] Time 0.862 (0.792) Data 0.001 (0.002) Loss 2.2309 (2.0472) Prec@1 43.750 (47.289) Prec@5 76.250 (77.819) Epoch: [47][10800/11272] Time 0.725 (0.792) Data 0.002 (0.002) Loss 1.7949 (2.0471) Prec@1 48.750 (47.288) Prec@5 82.500 (77.820) Epoch: [47][10810/11272] Time 0.983 (0.792) Data 0.004 (0.002) Loss 2.1123 (2.0472) Prec@1 44.375 (47.288) Prec@5 79.375 (77.820) Epoch: [47][10820/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 2.5579 (2.0472) Prec@1 41.250 (47.287) Prec@5 67.500 (77.819) Epoch: [47][10830/11272] Time 0.761 (0.792) Data 0.001 (0.002) Loss 1.8993 (2.0472) Prec@1 50.625 (47.288) Prec@5 79.375 (77.818) Epoch: [47][10840/11272] Time 0.734 (0.792) Data 0.001 (0.002) Loss 2.0752 (2.0472) Prec@1 46.250 (47.289) Prec@5 79.375 (77.819) Epoch: [47][10850/11272] Time 0.874 (0.792) Data 0.002 (0.002) Loss 2.1277 (2.0472) Prec@1 47.500 (47.289) Prec@5 75.000 (77.819) Epoch: [47][10860/11272] Time 0.829 (0.792) Data 0.001 (0.002) Loss 2.1363 (2.0472) Prec@1 41.250 (47.287) Prec@5 72.500 (77.815) Epoch: [47][10870/11272] Time 0.726 (0.792) Data 0.002 (0.002) Loss 1.9897 (2.0472) Prec@1 51.250 (47.289) Prec@5 75.625 (77.815) Epoch: [47][10880/11272] Time 0.738 (0.792) Data 0.001 (0.002) Loss 2.0543 (2.0472) Prec@1 45.625 (47.288) Prec@5 78.125 (77.816) Epoch: [47][10890/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.7861 (2.0472) Prec@1 50.000 (47.289) Prec@5 80.000 (77.816) Epoch: [47][10900/11272] Time 0.874 (0.792) Data 0.002 (0.002) Loss 1.8521 (2.0472) Prec@1 48.750 (47.290) Prec@5 83.750 (77.817) Epoch: [47][10910/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 1.9712 (2.0472) Prec@1 46.250 (47.287) Prec@5 78.750 (77.816) Epoch: [47][10920/11272] Time 0.721 (0.792) Data 0.002 (0.002) Loss 2.0134 (2.0472) Prec@1 48.125 (47.289) Prec@5 81.250 (77.815) Epoch: [47][10930/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 2.0746 (2.0472) Prec@1 47.500 (47.289) Prec@5 75.625 (77.814) Epoch: [47][10940/11272] Time 0.826 (0.792) Data 0.002 (0.002) Loss 1.9824 (2.0473) Prec@1 46.250 (47.289) Prec@5 81.250 (77.814) Epoch: [47][10950/11272] Time 0.741 (0.792) Data 0.002 (0.002) Loss 2.3474 (2.0473) Prec@1 42.500 (47.286) Prec@5 73.750 (77.811) Epoch: [47][10960/11272] Time 0.879 (0.792) Data 0.001 (0.002) Loss 2.2367 (2.0474) Prec@1 46.250 (47.285) Prec@5 76.250 (77.810) Epoch: [47][10970/11272] Time 0.893 (0.792) Data 0.001 (0.002) Loss 2.1645 (2.0474) Prec@1 43.125 (47.285) Prec@5 78.750 (77.811) Epoch: [47][10980/11272] Time 0.753 (0.792) Data 0.001 (0.002) Loss 2.2924 (2.0475) Prec@1 41.250 (47.284) Prec@5 75.000 (77.809) Epoch: [47][10990/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9020 (2.0475) Prec@1 50.000 (47.284) Prec@5 79.375 (77.807) Epoch: [47][11000/11272] Time 0.842 (0.792) Data 0.001 (0.002) Loss 1.9787 (2.0475) Prec@1 52.500 (47.284) Prec@5 77.500 (77.807) Epoch: [47][11010/11272] Time 0.868 (0.792) Data 0.002 (0.002) Loss 2.3475 (2.0475) Prec@1 43.750 (47.285) Prec@5 72.500 (77.807) Epoch: [47][11020/11272] Time 0.761 (0.792) Data 0.002 (0.002) Loss 2.1433 (2.0475) Prec@1 44.375 (47.285) Prec@5 80.625 (77.806) Epoch: [47][11030/11272] Time 0.747 (0.792) Data 0.002 (0.002) Loss 2.2753 (2.0476) Prec@1 43.750 (47.284) Prec@5 73.750 (77.805) Epoch: [47][11040/11272] Time 0.836 (0.792) Data 0.001 (0.002) Loss 2.2188 (2.0476) Prec@1 45.000 (47.285) Prec@5 73.750 (77.804) Epoch: [47][11050/11272] Time 0.868 (0.792) Data 0.001 (0.002) Loss 2.1615 (2.0477) Prec@1 48.750 (47.284) Prec@5 75.625 (77.802) Epoch: [47][11060/11272] Time 0.728 (0.792) Data 0.001 (0.002) Loss 2.0607 (2.0477) Prec@1 45.000 (47.285) Prec@5 75.000 (77.802) Epoch: [47][11070/11272] Time 0.742 (0.792) Data 0.001 (0.002) Loss 2.0425 (2.0476) Prec@1 46.250 (47.285) Prec@5 77.500 (77.803) Epoch: [47][11080/11272] Time 0.859 (0.792) Data 0.002 (0.002) Loss 2.0162 (2.0477) Prec@1 47.500 (47.284) Prec@5 82.500 (77.801) Epoch: [47][11090/11272] Time 0.740 (0.792) Data 0.001 (0.002) Loss 2.1797 (2.0477) Prec@1 47.500 (47.284) Prec@5 72.500 (77.800) Epoch: [47][11100/11272] Time 0.717 (0.792) Data 0.001 (0.002) Loss 2.1125 (2.0477) Prec@1 46.875 (47.283) Prec@5 75.625 (77.799) Epoch: [47][11110/11272] Time 0.831 (0.792) Data 0.002 (0.002) Loss 2.1600 (2.0477) Prec@1 45.000 (47.285) Prec@5 78.750 (77.799) Epoch: [47][11120/11272] Time 0.877 (0.792) Data 0.002 (0.002) Loss 2.1119 (2.0477) Prec@1 44.375 (47.284) Prec@5 75.625 (77.801) Epoch: [47][11130/11272] Time 0.724 (0.792) Data 0.001 (0.002) Loss 2.1503 (2.0478) Prec@1 44.375 (47.284) Prec@5 75.000 (77.798) Epoch: [47][11140/11272] Time 0.748 (0.792) Data 0.002 (0.002) Loss 1.8614 (2.0478) Prec@1 48.750 (47.283) Prec@5 81.875 (77.797) Epoch: [47][11150/11272] Time 0.835 (0.792) Data 0.001 (0.002) Loss 2.2495 (2.0478) Prec@1 43.750 (47.284) Prec@5 71.875 (77.798) Epoch: [47][11160/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 1.9903 (2.0477) Prec@1 45.625 (47.284) Prec@5 80.625 (77.801) Epoch: [47][11170/11272] Time 0.743 (0.792) Data 0.001 (0.002) Loss 1.9416 (2.0478) Prec@1 54.375 (47.282) Prec@5 78.750 (77.800) Epoch: [47][11180/11272] Time 0.712 (0.792) Data 0.001 (0.002) Loss 2.1874 (2.0478) Prec@1 48.750 (47.283) Prec@5 75.625 (77.800) Epoch: [47][11190/11272] Time 0.833 (0.792) Data 0.001 (0.002) Loss 2.0442 (2.0478) Prec@1 43.750 (47.281) Prec@5 76.250 (77.800) Epoch: [47][11200/11272] Time 0.818 (0.792) Data 0.001 (0.002) Loss 2.3475 (2.0479) Prec@1 41.875 (47.277) Prec@5 71.875 (77.797) Epoch: [47][11210/11272] Time 0.731 (0.792) Data 0.001 (0.002) Loss 1.9778 (2.0479) Prec@1 45.000 (47.278) Prec@5 76.250 (77.798) Epoch: [47][11220/11272] Time 0.857 (0.792) Data 0.002 (0.002) Loss 2.1428 (2.0479) Prec@1 42.500 (47.278) Prec@5 77.500 (77.798) Epoch: [47][11230/11272] Time 0.824 (0.792) Data 0.001 (0.002) Loss 2.0563 (2.0479) Prec@1 43.125 (47.278) Prec@5 79.375 (77.798) Epoch: [47][11240/11272] Time 0.753 (0.792) Data 0.002 (0.002) Loss 2.0279 (2.0479) Prec@1 50.000 (47.278) Prec@5 78.750 (77.798) Epoch: [47][11250/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 2.0772 (2.0479) Prec@1 44.375 (47.277) Prec@5 81.250 (77.796) Epoch: [47][11260/11272] Time 0.864 (0.792) Data 0.001 (0.002) Loss 1.8083 (2.0478) Prec@1 50.625 (47.279) Prec@5 83.750 (77.798) Epoch: [47][11270/11272] Time 0.801 (0.792) Data 0.000 (0.002) Loss 2.1169 (2.0478) Prec@1 48.125 (47.280) Prec@5 80.625 (77.799) Test: [0/229] Time 2.000 (2.000) Loss 1.3054 (1.3054) Prec@1 61.875 (61.875) Prec@5 94.375 (94.375) Test: [10/229] Time 0.353 (0.518) Loss 1.1384 (1.6753) Prec@1 67.500 (56.136) Prec@5 96.250 (86.477) Test: [20/229] Time 0.327 (0.454) Loss 2.0780 (1.7629) Prec@1 43.125 (53.155) Prec@5 78.125 (84.881) Test: [30/229] Time 0.499 (0.435) Loss 2.0562 (1.7152) Prec@1 45.000 (54.355) Prec@5 84.375 (85.383) Test: [40/229] Time 0.340 (0.422) Loss 0.4146 (1.7077) Prec@1 93.750 (54.238) Prec@5 95.625 (85.335) Test: [50/229] Time 0.468 (0.415) Loss 2.1965 (1.7582) Prec@1 39.375 (53.162) Prec@5 78.750 (83.934) Test: [60/229] Time 0.352 (0.409) Loss 2.0906 (1.7461) Prec@1 40.625 (53.156) Prec@5 83.750 (83.986) Test: [70/229] Time 0.386 (0.404) Loss 1.3178 (1.7535) Prec@1 69.375 (53.055) Prec@5 85.000 (83.882) Test: [80/229] Time 0.419 (0.401) Loss 2.2863 (1.7765) Prec@1 29.375 (52.261) Prec@5 80.625 (83.750) Test: [90/229] Time 0.341 (0.399) Loss 1.4229 (1.7730) Prec@1 66.250 (52.253) Prec@5 83.750 (83.949) Test: [100/229] Time 0.464 (0.399) Loss 2.5026 (1.7651) Prec@1 41.250 (52.556) Prec@5 77.500 (84.047) Test: [110/229] Time 0.322 (0.396) Loss 1.4967 (1.7451) Prec@1 60.625 (53.001) Prec@5 86.250 (84.291) Test: [120/229] Time 0.464 (0.396) Loss 2.9321 (1.7704) Prec@1 25.000 (52.288) Prec@5 69.375 (83.838) Test: [130/229] Time 0.314 (0.394) Loss 1.5530 (1.7568) Prec@1 55.000 (52.576) Prec@5 90.000 (83.969) Test: [140/229] Time 0.309 (0.393) Loss 1.9710 (1.7706) Prec@1 45.625 (52.238) Prec@5 78.125 (83.754) Test: [150/229] Time 0.440 (0.393) Loss 1.2192 (1.7831) Prec@1 71.250 (52.020) Prec@5 86.875 (83.547) Test: [160/229] Time 0.324 (0.392) Loss 2.1784 (1.7895) Prec@1 51.250 (51.859) Prec@5 78.750 (83.498) Test: [170/229] Time 0.454 (0.392) Loss 1.5622 (1.7999) Prec@1 54.375 (51.495) Prec@5 88.125 (83.326) Test: [180/229] Time 0.337 (0.391) Loss 2.5687 (1.8078) Prec@1 34.375 (51.457) Prec@5 70.000 (83.104) Test: [190/229] Time 0.445 (0.391) Loss 1.4785 (1.7973) Prec@1 57.500 (51.793) Prec@5 88.750 (83.226) Test: [200/229] Time 0.371 (0.391) Loss 1.6541 (1.7886) Prec@1 52.500 (51.810) Prec@5 84.375 (83.464) Test: [210/229] Time 0.335 (0.391) Loss 1.1971 (1.7744) Prec@1 64.375 (52.233) Prec@5 93.125 (83.649) Test: [220/229] Time 0.426 (0.390) Loss 1.5568 (1.7636) Prec@1 58.125 (52.675) Prec@5 87.500 (83.739) * Prec@1 53.008 Prec@5 83.795 Epoch: [48][0/11272] Time 3.483 (3.483) Data 2.543 (2.543) Loss 2.0114 (2.0114) Prec@1 42.500 (42.500) Prec@5 80.625 (80.625) Epoch: [48][10/11272] Time 0.717 (1.018) Data 0.003 (0.232) Loss 2.0482 (2.0108) Prec@1 45.625 (46.591) Prec@5 78.750 (79.375) Epoch: [48][20/11272] Time 0.709 (0.901) Data 0.001 (0.122) Loss 2.0601 (2.0035) Prec@1 43.750 (46.369) Prec@5 74.375 (79.137) Epoch: [48][30/11272] Time 0.852 (0.866) Data 0.001 (0.083) Loss 2.0072 (1.9854) Prec@1 51.875 (47.258) Prec@5 78.750 (79.133) Epoch: [48][40/11272] Time 0.814 (0.844) Data 0.001 (0.063) Loss 2.0721 (1.9905) Prec@1 49.375 (47.546) Prec@5 76.250 (79.116) Epoch: [48][50/11272] Time 0.707 (0.831) Data 0.001 (0.051) Loss 1.7439 (1.9903) Prec@1 56.250 (47.770) Prec@5 81.250 (79.056) Epoch: [48][60/11272] Time 0.724 (0.821) Data 0.001 (0.043) Loss 2.2715 (1.9902) Prec@1 41.875 (47.889) Prec@5 73.750 (78.852) Epoch: [48][70/11272] Time 0.853 (0.818) Data 0.001 (0.037) Loss 2.1645 (1.9913) Prec@1 42.500 (48.081) Prec@5 76.250 (78.662) Epoch: [48][80/11272] Time 0.823 (0.814) Data 0.001 (0.033) Loss 1.9658 (1.9921) Prec@1 48.125 (48.086) Prec@5 78.125 (78.665) Epoch: [48][90/11272] Time 0.737 (0.811) Data 0.001 (0.029) Loss 1.9588 (1.9890) Prec@1 51.250 (48.146) Prec@5 77.500 (78.661) Epoch: [48][100/11272] Time 0.775 (0.811) Data 0.002 (0.027) Loss 1.7135 (1.9878) Prec@1 54.375 (48.218) Prec@5 86.250 (78.682) Epoch: [48][110/11272] Time 0.827 (0.809) Data 0.001 (0.024) Loss 2.1309 (1.9871) Prec@1 41.250 (48.226) Prec@5 77.500 (78.733) Epoch: [48][120/11272] Time 0.828 (0.806) Data 0.001 (0.022) Loss 1.7963 (1.9804) Prec@1 55.625 (48.538) Prec@5 80.625 (78.812) Epoch: [48][130/11272] Time 0.751 (0.803) Data 0.001 (0.021) Loss 2.1159 (1.9803) Prec@1 46.250 (48.573) Prec@5 75.625 (78.865) Epoch: [48][140/11272] Time 0.819 (0.801) Data 0.001 (0.019) Loss 1.8568 (1.9845) Prec@1 55.000 (48.435) Prec@5 78.125 (78.799) Epoch: [48][150/11272] Time 0.822 (0.801) Data 0.001 (0.018) Loss 2.1366 (1.9870) Prec@1 46.250 (48.386) Prec@5 75.000 (78.688) Epoch: [48][160/11272] Time 0.722 (0.800) Data 0.001 (0.017) Loss 2.0457 (1.9893) Prec@1 45.625 (48.362) Prec@5 80.000 (78.657) Epoch: [48][170/11272] Time 0.752 (0.799) Data 0.002 (0.016) Loss 2.0827 (1.9882) Prec@1 47.500 (48.395) Prec@5 78.750 (78.801) Epoch: [48][180/11272] Time 0.833 (0.799) Data 0.001 (0.015) Loss 2.1697 (1.9920) Prec@1 46.875 (48.287) Prec@5 79.375 (78.798) Epoch: [48][190/11272] Time 0.828 (0.799) Data 0.001 (0.015) Loss 1.9955 (1.9930) Prec@1 48.750 (48.289) Prec@5 78.750 (78.812) Epoch: [48][200/11272] Time 0.727 (0.797) Data 0.001 (0.014) Loss 2.0922 (1.9891) Prec@1 49.375 (48.399) Prec@5 78.750 (78.868) Epoch: [48][210/11272] Time 0.755 (0.797) Data 0.001 (0.013) Loss 1.6948 (1.9882) Prec@1 55.000 (48.418) Prec@5 84.375 (78.886) Epoch: [48][220/11272] Time 0.827 (0.796) Data 0.001 (0.013) Loss 2.0547 (1.9879) Prec@1 45.625 (48.453) Prec@5 78.750 (78.846) Epoch: [48][230/11272] Time 0.820 (0.796) Data 0.001 (0.012) Loss 1.8945 (1.9888) Prec@1 50.625 (48.423) Prec@5 82.500 (78.847) Epoch: [48][240/11272] Time 0.733 (0.795) Data 0.001 (0.012) Loss 1.9066 (1.9887) Prec@1 53.125 (48.462) Prec@5 78.750 (78.890) Epoch: [48][250/11272] Time 0.725 (0.794) Data 0.001 (0.012) Loss 2.1814 (1.9924) Prec@1 42.500 (48.454) Prec@5 73.750 (78.805) Epoch: [48][260/11272] Time 0.815 (0.794) Data 0.001 (0.011) Loss 1.9769 (1.9951) Prec@1 51.250 (48.408) Prec@5 76.875 (78.716) Epoch: [48][270/11272] Time 0.827 (0.794) Data 0.001 (0.011) Loss 2.0330 (1.9978) Prec@1 44.375 (48.319) Prec@5 78.125 (78.660) Epoch: [48][280/11272] Time 0.727 (0.793) Data 0.001 (0.010) Loss 2.0110 (2.0004) Prec@1 49.375 (48.270) Prec@5 78.750 (78.565) Epoch: [48][290/11272] Time 0.824 (0.793) Data 0.001 (0.010) Loss 2.0093 (2.0020) Prec@1 46.250 (48.198) Prec@5 79.375 (78.557) Epoch: [48][300/11272] Time 0.858 (0.793) Data 0.001 (0.010) Loss 2.0976 (2.0025) Prec@1 48.750 (48.177) Prec@5 78.125 (78.584) Epoch: [48][310/11272] Time 0.731 (0.792) Data 0.001 (0.010) Loss 1.8671 (2.0015) Prec@1 47.500 (48.191) Prec@5 78.750 (78.581) Epoch: [48][320/11272] Time 0.731 (0.792) Data 0.001 (0.009) Loss 1.9605 (2.0023) Prec@1 43.750 (48.174) Prec@5 78.750 (78.571) Epoch: [48][330/11272] Time 0.850 (0.792) Data 0.001 (0.009) Loss 1.7977 (2.0022) Prec@1 51.250 (48.163) Prec@5 84.375 (78.576) Epoch: [48][340/11272] Time 0.823 (0.792) Data 0.001 (0.009) Loss 2.1050 (2.0028) Prec@1 42.500 (48.158) Prec@5 73.750 (78.556) Epoch: [48][350/11272] Time 0.728 (0.792) Data 0.001 (0.009) Loss 1.7734 (2.0052) Prec@1 55.625 (48.146) Prec@5 80.000 (78.508) Epoch: [48][360/11272] Time 0.738 (0.791) Data 0.001 (0.008) Loss 1.8706 (2.0060) Prec@1 51.875 (48.161) Prec@5 81.875 (78.511) Epoch: [48][370/11272] Time 0.839 (0.791) Data 0.001 (0.008) Loss 2.1114 (2.0082) Prec@1 51.250 (48.125) Prec@5 75.625 (78.477) Epoch: [48][380/11272] Time 0.853 (0.791) Data 0.001 (0.008) Loss 1.9618 (2.0090) Prec@1 48.125 (48.102) Prec@5 79.375 (78.496) Epoch: [48][390/11272] Time 0.727 (0.791) Data 0.001 (0.008) Loss 2.1523 (2.0107) Prec@1 52.500 (48.083) Prec@5 73.750 (78.461) Epoch: [48][400/11272] Time 0.736 (0.790) Data 0.001 (0.008) Loss 1.8160 (2.0111) Prec@1 46.875 (48.070) Prec@5 83.750 (78.482) Epoch: [48][410/11272] Time 0.834 (0.790) Data 0.001 (0.008) Loss 2.2301 (2.0120) Prec@1 43.750 (48.066) Prec@5 75.000 (78.476) Epoch: [48][420/11272] Time 0.732 (0.790) Data 0.001 (0.007) Loss 1.8393 (2.0107) Prec@1 53.750 (48.092) Prec@5 81.875 (78.487) Epoch: [48][430/11272] Time 0.722 (0.790) Data 0.001 (0.007) Loss 1.9431 (2.0116) Prec@1 48.750 (48.071) Prec@5 77.500 (78.485) Epoch: [48][440/11272] Time 0.856 (0.791) Data 0.001 (0.007) Loss 1.9999 (2.0119) Prec@1 50.625 (48.060) Prec@5 76.875 (78.509) Epoch: [48][450/11272] Time 0.832 (0.791) Data 0.001 (0.007) Loss 2.1123 (2.0125) Prec@1 43.750 (48.034) Prec@5 76.875 (78.502) Epoch: [48][460/11272] Time 0.734 (0.790) Data 0.001 (0.007) Loss 2.0050 (2.0124) Prec@1 41.875 (48.018) Prec@5 78.750 (78.513) Epoch: [48][470/11272] Time 0.740 (0.790) Data 0.001 (0.007) Loss 1.9610 (2.0133) Prec@1 47.500 (47.980) Prec@5 75.625 (78.469) Epoch: [48][480/11272] Time 0.876 (0.790) Data 0.002 (0.007) Loss 1.8626 (2.0135) Prec@1 46.875 (47.995) Prec@5 80.000 (78.454) Epoch: [48][490/11272] Time 0.819 (0.790) Data 0.001 (0.007) Loss 2.0860 (2.0160) Prec@1 45.000 (47.926) Prec@5 75.625 (78.409) Epoch: [48][500/11272] Time 0.723 (0.790) Data 0.002 (0.006) Loss 1.9448 (2.0163) Prec@1 46.250 (47.920) Prec@5 81.250 (78.406) Epoch: [48][510/11272] Time 0.743 (0.790) Data 0.001 (0.006) Loss 1.9108 (2.0168) Prec@1 50.625 (47.900) Prec@5 80.625 (78.412) Epoch: [48][520/11272] Time 0.822 (0.790) Data 0.001 (0.006) Loss 2.1831 (2.0182) Prec@1 46.250 (47.859) Prec@5 75.625 (78.373) Epoch: [48][530/11272] Time 0.829 (0.790) Data 0.001 (0.006) Loss 1.9308 (2.0171) Prec@1 50.000 (47.871) Prec@5 81.875 (78.376) Epoch: [48][540/11272] Time 0.726 (0.790) Data 0.001 (0.006) Loss 2.1243 (2.0169) Prec@1 46.875 (47.856) Prec@5 73.750 (78.369) Epoch: [48][550/11272] Time 0.824 (0.790) Data 0.001 (0.006) Loss 1.9339 (2.0159) Prec@1 51.875 (47.883) Prec@5 80.625 (78.375) Epoch: [48][560/11272] Time 0.833 (0.790) Data 0.001 (0.006) Loss 1.8827 (2.0164) Prec@1 46.250 (47.841) Prec@5 83.125 (78.368) Epoch: [48][570/11272] Time 0.749 (0.790) Data 0.002 (0.006) Loss 2.1640 (2.0157) Prec@1 46.250 (47.863) Prec@5 76.250 (78.383) Epoch: [48][580/11272] Time 0.784 (0.790) Data 0.001 (0.006) Loss 2.1979 (2.0174) Prec@1 43.125 (47.829) Prec@5 72.500 (78.334) Epoch: [48][590/11272] Time 0.811 (0.790) Data 0.001 (0.006) Loss 1.8938 (2.0160) Prec@1 48.125 (47.842) Prec@5 78.750 (78.339) Epoch: [48][600/11272] Time 0.855 (0.790) Data 0.002 (0.006) Loss 2.1453 (2.0151) Prec@1 45.000 (47.855) Prec@5 77.500 (78.371) Epoch: [48][610/11272] Time 0.731 (0.790) Data 0.001 (0.006) Loss 2.1085 (2.0151) Prec@1 46.250 (47.845) Prec@5 76.250 (78.389) Epoch: [48][620/11272] Time 0.738 (0.790) Data 0.001 (0.005) Loss 1.9533 (2.0154) Prec@1 51.250 (47.846) Prec@5 79.375 (78.383) Epoch: [48][630/11272] Time 0.837 (0.790) Data 0.001 (0.005) Loss 2.0690 (2.0168) Prec@1 45.625 (47.830) Prec@5 81.250 (78.361) Epoch: [48][640/11272] Time 0.810 (0.790) Data 0.001 (0.005) Loss 1.8915 (2.0170) Prec@1 51.250 (47.835) Prec@5 79.375 (78.347) Epoch: [48][650/11272] Time 0.732 (0.790) Data 0.001 (0.005) Loss 2.0694 (2.0168) Prec@1 45.625 (47.843) Prec@5 79.375 (78.353) Epoch: [48][660/11272] Time 0.727 (0.789) Data 0.001 (0.005) Loss 1.6834 (2.0171) Prec@1 51.250 (47.824) Prec@5 84.375 (78.342) Epoch: [48][670/11272] Time 0.879 (0.790) Data 0.002 (0.005) Loss 1.8453 (2.0173) Prec@1 50.000 (47.831) Prec@5 82.500 (78.337) Epoch: [48][680/11272] Time 0.739 (0.790) Data 0.003 (0.005) Loss 2.1739 (2.0178) Prec@1 40.625 (47.808) Prec@5 75.625 (78.326) Epoch: [48][690/11272] Time 0.729 (0.789) Data 0.001 (0.005) Loss 1.9704 (2.0177) Prec@1 48.125 (47.821) Prec@5 80.625 (78.321) Epoch: [48][700/11272] Time 0.863 (0.790) Data 0.001 (0.005) Loss 2.1109 (2.0180) Prec@1 48.750 (47.825) Prec@5 76.875 (78.316) Epoch: [48][710/11272] Time 0.837 (0.790) Data 0.001 (0.005) Loss 1.8913 (2.0185) Prec@1 52.500 (47.824) Prec@5 82.500 (78.314) Epoch: [48][720/11272] Time 0.723 (0.789) Data 0.001 (0.005) Loss 1.9665 (2.0184) Prec@1 48.750 (47.810) Prec@5 78.125 (78.328) Epoch: [48][730/11272] Time 0.734 (0.789) Data 0.001 (0.005) Loss 1.9958 (2.0175) Prec@1 45.000 (47.823) Prec@5 80.625 (78.352) Epoch: [48][740/11272] Time 0.834 (0.790) Data 0.001 (0.005) Loss 1.6839 (2.0169) Prec@1 58.750 (47.853) Prec@5 81.250 (78.343) Epoch: [48][750/11272] Time 0.818 (0.789) Data 0.001 (0.005) Loss 2.0022 (2.0168) Prec@1 52.500 (47.865) Prec@5 73.750 (78.333) Epoch: [48][760/11272] Time 0.745 (0.789) Data 0.001 (0.005) Loss 1.8489 (2.0162) Prec@1 53.750 (47.882) Prec@5 80.625 (78.351) Epoch: [48][770/11272] Time 0.726 (0.789) Data 0.001 (0.005) Loss 1.9208 (2.0160) Prec@1 48.125 (47.891) Prec@5 79.375 (78.344) Epoch: [48][780/11272] Time 0.833 (0.789) Data 0.001 (0.005) Loss 2.1622 (2.0166) Prec@1 43.750 (47.889) Prec@5 76.875 (78.336) Epoch: [48][790/11272] Time 0.813 (0.789) Data 0.001 (0.005) Loss 2.1122 (2.0166) Prec@1 44.375 (47.887) Prec@5 79.375 (78.339) Epoch: [48][800/11272] Time 0.738 (0.789) Data 0.001 (0.005) Loss 1.9280 (2.0162) Prec@1 51.250 (47.879) Prec@5 81.250 (78.345) Epoch: [48][810/11272] Time 0.842 (0.789) Data 0.001 (0.005) Loss 2.1190 (2.0165) Prec@1 45.625 (47.888) Prec@5 76.250 (78.331) Epoch: [48][820/11272] Time 0.832 (0.789) Data 0.001 (0.004) Loss 1.9703 (2.0158) Prec@1 45.625 (47.906) Prec@5 81.250 (78.350) Epoch: [48][830/11272] Time 0.706 (0.789) Data 0.001 (0.004) Loss 1.7934 (2.0148) Prec@1 50.625 (47.940) Prec@5 81.250 (78.366) Epoch: [48][840/11272] Time 0.734 (0.789) Data 0.001 (0.004) Loss 1.8972 (2.0150) Prec@1 50.000 (47.929) Prec@5 79.375 (78.367) Epoch: [48][850/11272] Time 0.796 (0.789) Data 0.001 (0.004) Loss 1.9554 (2.0155) Prec@1 48.750 (47.924) Prec@5 80.625 (78.357) Epoch: [48][860/11272] Time 0.836 (0.789) Data 0.001 (0.004) Loss 2.2677 (2.0160) Prec@1 46.875 (47.917) Prec@5 74.375 (78.340) Epoch: [48][870/11272] Time 0.727 (0.788) Data 0.001 (0.004) Loss 2.0269 (2.0165) Prec@1 44.375 (47.899) Prec@5 78.750 (78.335) Epoch: [48][880/11272] Time 0.722 (0.788) Data 0.001 (0.004) Loss 1.7563 (2.0165) Prec@1 57.500 (47.897) Prec@5 82.500 (78.341) Epoch: [48][890/11272] Time 0.846 (0.788) Data 0.001 (0.004) Loss 2.2129 (2.0164) Prec@1 45.000 (47.905) Prec@5 72.500 (78.337) Epoch: [48][900/11272] Time 0.874 (0.788) Data 0.002 (0.004) Loss 1.8530 (2.0160) Prec@1 50.625 (47.918) Prec@5 83.125 (78.345) Epoch: [48][910/11272] Time 0.728 (0.788) Data 0.001 (0.004) Loss 1.8418 (2.0161) Prec@1 49.375 (47.920) Prec@5 81.250 (78.343) Epoch: [48][920/11272] Time 0.724 (0.788) Data 0.001 (0.004) Loss 2.1716 (2.0159) Prec@1 46.250 (47.916) Prec@5 73.750 (78.347) Epoch: [48][930/11272] Time 0.824 (0.788) Data 0.001 (0.004) Loss 2.0835 (2.0163) Prec@1 51.875 (47.893) Prec@5 77.500 (78.343) Epoch: [48][940/11272] Time 0.734 (0.788) Data 0.003 (0.004) Loss 1.9244 (2.0162) Prec@1 48.125 (47.909) Prec@5 80.625 (78.351) Epoch: [48][950/11272] Time 0.721 (0.788) Data 0.001 (0.004) Loss 2.0616 (2.0160) Prec@1 44.375 (47.913) Prec@5 77.500 (78.351) Epoch: [48][960/11272] Time 0.862 (0.788) Data 0.001 (0.004) Loss 1.8912 (2.0160) Prec@1 54.375 (47.904) Prec@5 79.375 (78.354) Epoch: [48][970/11272] Time 0.827 (0.788) Data 0.001 (0.004) Loss 2.0806 (2.0161) Prec@1 48.125 (47.902) Prec@5 75.000 (78.346) Epoch: [48][980/11272] Time 0.730 (0.788) Data 0.001 (0.004) Loss 2.2498 (2.0165) Prec@1 38.125 (47.896) Prec@5 80.000 (78.340) Epoch: [48][990/11272] Time 0.754 (0.788) Data 0.002 (0.004) Loss 2.2066 (2.0162) Prec@1 47.500 (47.906) Prec@5 76.250 (78.344) Epoch: [48][1000/11272] Time 0.827 (0.788) Data 0.001 (0.004) Loss 2.0152 (2.0164) Prec@1 50.000 (47.903) Prec@5 80.625 (78.350) Epoch: [48][1010/11272] Time 0.832 (0.788) Data 0.001 (0.004) Loss 1.9363 (2.0159) Prec@1 55.000 (47.919) Prec@5 78.750 (78.360) Epoch: [48][1020/11272] Time 0.728 (0.788) Data 0.001 (0.004) Loss 2.0665 (2.0161) Prec@1 44.375 (47.913) Prec@5 77.500 (78.353) Epoch: [48][1030/11272] Time 0.709 (0.788) Data 0.001 (0.004) Loss 2.1657 (2.0159) Prec@1 48.125 (47.916) Prec@5 76.250 (78.350) Epoch: [48][1040/11272] Time 0.822 (0.788) Data 0.001 (0.004) Loss 1.9634 (2.0150) Prec@1 51.875 (47.935) Prec@5 75.000 (78.356) Epoch: [48][1050/11272] Time 0.815 (0.788) Data 0.001 (0.004) Loss 2.2367 (2.0154) Prec@1 44.375 (47.927) Prec@5 73.750 (78.342) Epoch: [48][1060/11272] Time 0.733 (0.788) Data 0.001 (0.004) Loss 1.8705 (2.0149) Prec@1 44.375 (47.931) Prec@5 78.125 (78.345) Epoch: [48][1070/11272] Time 0.875 (0.788) Data 0.001 (0.004) Loss 2.0262 (2.0152) Prec@1 46.250 (47.915) Prec@5 84.375 (78.333) Epoch: [48][1080/11272] Time 0.826 (0.788) Data 0.001 (0.004) Loss 2.1935 (2.0150) Prec@1 44.375 (47.920) Prec@5 75.000 (78.338) Epoch: [48][1090/11272] Time 0.726 (0.788) Data 0.001 (0.004) Loss 1.8807 (2.0142) Prec@1 46.250 (47.926) Prec@5 78.750 (78.350) Epoch: [48][1100/11272] Time 0.721 (0.788) Data 0.001 (0.004) Loss 2.2435 (2.0139) Prec@1 42.500 (47.931) Prec@5 71.250 (78.363) Epoch: [48][1110/11272] Time 0.833 (0.788) Data 0.002 (0.004) Loss 1.8881 (2.0137) Prec@1 51.250 (47.949) Prec@5 83.125 (78.366) Epoch: [48][1120/11272] Time 0.806 (0.787) Data 0.001 (0.004) Loss 2.2907 (2.0144) Prec@1 44.375 (47.925) Prec@5 71.875 (78.366) Epoch: [48][1130/11272] Time 0.726 (0.787) Data 0.001 (0.004) Loss 2.0043 (2.0148) Prec@1 49.375 (47.918) Prec@5 78.750 (78.359) Epoch: [48][1140/11272] Time 0.749 (0.787) Data 0.001 (0.004) Loss 1.8729 (2.0150) Prec@1 45.000 (47.911) Prec@5 81.250 (78.353) Epoch: [48][1150/11272] Time 0.813 (0.787) Data 0.001 (0.004) Loss 2.0186 (2.0157) Prec@1 49.375 (47.902) Prec@5 77.500 (78.332) Epoch: [48][1160/11272] Time 0.822 (0.787) Data 0.001 (0.004) Loss 2.0007 (2.0161) Prec@1 47.500 (47.897) Prec@5 76.250 (78.324) Epoch: [48][1170/11272] Time 0.713 (0.787) Data 0.001 (0.004) Loss 1.8400 (2.0157) Prec@1 47.500 (47.906) Prec@5 82.500 (78.332) Epoch: [48][1180/11272] Time 0.738 (0.787) Data 0.001 (0.004) Loss 1.9102 (2.0152) Prec@1 49.375 (47.917) Prec@5 77.500 (78.331) Epoch: [48][1190/11272] Time 0.839 (0.787) Data 0.001 (0.004) Loss 1.9410 (2.0157) Prec@1 46.250 (47.904) Prec@5 82.500 (78.332) Epoch: [48][1200/11272] Time 0.830 (0.787) Data 0.001 (0.004) Loss 1.8234 (2.0155) Prec@1 53.750 (47.917) Prec@5 81.875 (78.327) Epoch: [48][1210/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 1.9068 (2.0150) Prec@1 47.500 (47.924) Prec@5 83.125 (78.340) Epoch: [48][1220/11272] Time 0.868 (0.787) Data 0.001 (0.003) Loss 1.8203 (2.0140) Prec@1 52.500 (47.937) Prec@5 78.125 (78.349) Epoch: [48][1230/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 2.2211 (2.0145) Prec@1 45.625 (47.920) Prec@5 71.875 (78.337) Epoch: [48][1240/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.9415 (2.0143) Prec@1 48.750 (47.910) Prec@5 77.500 (78.338) Epoch: [48][1250/11272] Time 0.739 (0.787) Data 0.001 (0.003) Loss 2.1578 (2.0138) Prec@1 44.375 (47.924) Prec@5 73.750 (78.350) Epoch: [48][1260/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 2.1017 (2.0137) Prec@1 45.000 (47.932) Prec@5 80.000 (78.349) Epoch: [48][1270/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 2.0602 (2.0135) Prec@1 46.250 (47.936) Prec@5 78.125 (78.358) Epoch: [48][1280/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 2.1320 (2.0133) Prec@1 45.625 (47.948) Prec@5 78.125 (78.358) Epoch: [48][1290/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.9993 (2.0129) Prec@1 45.625 (47.948) Prec@5 78.125 (78.371) Epoch: [48][1300/11272] Time 0.861 (0.787) Data 0.001 (0.003) Loss 1.8539 (2.0131) Prec@1 48.750 (47.938) Prec@5 84.375 (78.365) Epoch: [48][1310/11272] Time 0.818 (0.787) Data 0.001 (0.003) Loss 1.9986 (2.0130) Prec@1 45.000 (47.933) Prec@5 79.375 (78.364) Epoch: [48][1320/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 2.0569 (2.0128) Prec@1 51.875 (47.943) Prec@5 77.500 (78.365) Epoch: [48][1330/11272] Time 0.715 (0.787) Data 0.001 (0.003) Loss 1.7215 (2.0118) Prec@1 51.875 (47.968) Prec@5 81.875 (78.371) Epoch: [48][1340/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 1.8387 (2.0120) Prec@1 50.000 (47.970) Prec@5 81.250 (78.359) Epoch: [48][1350/11272] Time 0.730 (0.787) Data 0.001 (0.003) Loss 2.0309 (2.0117) Prec@1 48.125 (47.972) Prec@5 79.375 (78.359) Epoch: [48][1360/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.9941 (2.0121) Prec@1 48.125 (47.968) Prec@5 76.875 (78.363) Epoch: [48][1370/11272] Time 0.884 (0.787) Data 0.002 (0.003) Loss 2.0264 (2.0124) Prec@1 43.125 (47.957) Prec@5 76.875 (78.356) Epoch: [48][1380/11272] Time 0.824 (0.787) Data 0.001 (0.003) Loss 2.0539 (2.0126) Prec@1 45.000 (47.950) Prec@5 76.875 (78.344) Epoch: [48][1390/11272] Time 0.720 (0.787) Data 0.002 (0.003) Loss 1.9730 (2.0129) Prec@1 53.750 (47.943) Prec@5 80.625 (78.344) Epoch: [48][1400/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 1.9294 (2.0132) Prec@1 53.750 (47.940) Prec@5 75.000 (78.344) Epoch: [48][1410/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 2.3159 (2.0134) Prec@1 40.000 (47.939) Prec@5 70.000 (78.342) Epoch: [48][1420/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.9312 (2.0135) Prec@1 51.250 (47.931) Prec@5 82.500 (78.341) Epoch: [48][1430/11272] Time 0.756 (0.787) Data 0.002 (0.003) Loss 2.0953 (2.0138) Prec@1 44.375 (47.922) Prec@5 75.625 (78.338) Epoch: [48][1440/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 2.3951 (2.0144) Prec@1 36.875 (47.916) Prec@5 71.875 (78.325) Epoch: [48][1450/11272] Time 0.878 (0.787) Data 0.002 (0.003) Loss 2.1801 (2.0148) Prec@1 42.500 (47.907) Prec@5 75.000 (78.325) Epoch: [48][1460/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 1.8137 (2.0147) Prec@1 51.250 (47.902) Prec@5 85.625 (78.330) Epoch: [48][1470/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 2.0769 (2.0146) Prec@1 44.375 (47.908) Prec@5 76.250 (78.325) Epoch: [48][1480/11272] Time 0.858 (0.787) Data 0.001 (0.003) Loss 2.1963 (2.0149) Prec@1 48.750 (47.894) Prec@5 74.375 (78.323) Epoch: [48][1490/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 1.8338 (2.0147) Prec@1 53.750 (47.903) Prec@5 82.500 (78.324) Epoch: [48][1500/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 2.0946 (2.0151) Prec@1 40.625 (47.884) Prec@5 78.125 (78.319) Epoch: [48][1510/11272] Time 0.738 (0.787) Data 0.001 (0.003) Loss 2.0413 (2.0148) Prec@1 50.000 (47.893) Prec@5 78.125 (78.323) Epoch: [48][1520/11272] Time 0.822 (0.787) Data 0.001 (0.003) Loss 2.1410 (2.0148) Prec@1 46.250 (47.903) Prec@5 76.250 (78.327) Epoch: [48][1530/11272] Time 0.848 (0.787) Data 0.001 (0.003) Loss 1.9757 (2.0148) Prec@1 49.375 (47.901) Prec@5 78.125 (78.326) Epoch: [48][1540/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 1.8194 (2.0147) Prec@1 51.875 (47.901) Prec@5 81.875 (78.323) Epoch: [48][1550/11272] Time 0.719 (0.787) Data 0.001 (0.003) Loss 1.9560 (2.0151) Prec@1 50.625 (47.891) Prec@5 78.750 (78.317) Epoch: [48][1560/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.9361 (2.0150) Prec@1 53.125 (47.897) Prec@5 78.125 (78.322) Epoch: [48][1570/11272] Time 0.832 (0.787) Data 0.001 (0.003) Loss 1.8813 (2.0145) Prec@1 51.250 (47.904) Prec@5 80.000 (78.327) Epoch: [48][1580/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.9935 (2.0144) Prec@1 50.625 (47.906) Prec@5 74.375 (78.326) Epoch: [48][1590/11272] Time 0.741 (0.787) Data 0.001 (0.003) Loss 2.2217 (2.0148) Prec@1 52.500 (47.900) Prec@5 75.000 (78.325) Epoch: [48][1600/11272] Time 0.850 (0.787) Data 0.001 (0.003) Loss 1.8497 (2.0149) Prec@1 53.125 (47.904) Prec@5 81.875 (78.332) Epoch: [48][1610/11272] Time 0.733 (0.787) Data 0.003 (0.003) Loss 1.7544 (2.0150) Prec@1 53.125 (47.898) Prec@5 83.750 (78.327) Epoch: [48][1620/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 2.1144 (2.0156) Prec@1 43.750 (47.884) Prec@5 78.750 (78.320) Epoch: [48][1630/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 1.9084 (2.0160) Prec@1 45.000 (47.866) Prec@5 81.250 (78.312) Epoch: [48][1640/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.8458 (2.0166) Prec@1 50.625 (47.850) Prec@5 83.125 (78.303) Epoch: [48][1650/11272] Time 0.751 (0.787) Data 0.001 (0.003) Loss 2.1886 (2.0167) Prec@1 45.000 (47.852) Prec@5 76.250 (78.301) Epoch: [48][1660/11272] Time 0.747 (0.787) Data 0.001 (0.003) Loss 2.2174 (2.0171) Prec@1 46.250 (47.844) Prec@5 75.000 (78.293) Epoch: [48][1670/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.1527 (2.0173) Prec@1 48.750 (47.850) Prec@5 75.625 (78.296) Epoch: [48][1680/11272] Time 0.871 (0.787) Data 0.002 (0.003) Loss 1.7833 (2.0170) Prec@1 51.250 (47.850) Prec@5 87.500 (78.302) Epoch: [48][1690/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 2.2141 (2.0173) Prec@1 43.125 (47.844) Prec@5 73.125 (78.298) Epoch: [48][1700/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 2.0950 (2.0175) Prec@1 46.875 (47.847) Prec@5 76.875 (78.294) Epoch: [48][1710/11272] Time 0.897 (0.787) Data 0.001 (0.003) Loss 1.7427 (2.0173) Prec@1 53.125 (47.852) Prec@5 85.625 (78.303) Epoch: [48][1720/11272] Time 0.828 (0.787) Data 0.001 (0.003) Loss 2.1599 (2.0179) Prec@1 47.500 (47.845) Prec@5 75.625 (78.287) Epoch: [48][1730/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 2.1182 (2.0174) Prec@1 46.250 (47.847) Prec@5 74.375 (78.297) Epoch: [48][1740/11272] Time 0.861 (0.787) Data 0.001 (0.003) Loss 2.2728 (2.0180) Prec@1 42.500 (47.832) Prec@5 73.750 (78.294) Epoch: [48][1750/11272] Time 0.832 (0.787) Data 0.001 (0.003) Loss 2.0686 (2.0185) Prec@1 49.375 (47.828) Prec@5 76.875 (78.285) Epoch: [48][1760/11272] Time 0.745 (0.787) Data 0.001 (0.003) Loss 2.0202 (2.0188) Prec@1 47.500 (47.811) Prec@5 79.375 (78.280) Epoch: [48][1770/11272] Time 0.754 (0.787) Data 0.002 (0.003) Loss 1.9070 (2.0190) Prec@1 43.750 (47.810) Prec@5 80.000 (78.277) Epoch: [48][1780/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 2.0618 (2.0189) Prec@1 46.250 (47.811) Prec@5 76.250 (78.276) Epoch: [48][1790/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.9664 (2.0191) Prec@1 45.000 (47.806) Prec@5 78.750 (78.277) Epoch: [48][1800/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.9812 (2.0192) Prec@1 44.375 (47.805) Prec@5 79.375 (78.278) Epoch: [48][1810/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 1.8990 (2.0193) Prec@1 50.000 (47.802) Prec@5 82.500 (78.277) Epoch: [48][1820/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 2.1267 (2.0195) Prec@1 43.125 (47.789) Prec@5 76.250 (78.273) Epoch: [48][1830/11272] Time 0.831 (0.787) Data 0.002 (0.003) Loss 2.3783 (2.0193) Prec@1 41.875 (47.796) Prec@5 72.500 (78.282) Epoch: [48][1840/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 1.9831 (2.0197) Prec@1 49.375 (47.791) Prec@5 79.375 (78.279) Epoch: [48][1850/11272] Time 0.748 (0.787) Data 0.001 (0.003) Loss 2.2122 (2.0201) Prec@1 45.000 (47.784) Prec@5 76.250 (78.269) Epoch: [48][1860/11272] Time 0.864 (0.787) Data 0.001 (0.003) Loss 2.1549 (2.0202) Prec@1 45.625 (47.780) Prec@5 76.250 (78.267) Epoch: [48][1870/11272] Time 0.727 (0.787) Data 0.003 (0.003) Loss 2.1802 (2.0205) Prec@1 43.125 (47.766) Prec@5 76.250 (78.266) Epoch: [48][1880/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 2.0017 (2.0204) Prec@1 45.625 (47.769) Prec@5 80.000 (78.273) Epoch: [48][1890/11272] Time 0.819 (0.787) Data 0.001 (0.003) Loss 2.1072 (2.0207) Prec@1 45.625 (47.765) Prec@5 77.500 (78.273) Epoch: [48][1900/11272] Time 0.839 (0.787) Data 0.002 (0.003) Loss 1.9935 (2.0205) Prec@1 48.750 (47.777) Prec@5 78.125 (78.273) Epoch: [48][1910/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 1.9048 (2.0207) Prec@1 53.750 (47.777) Prec@5 76.250 (78.272) Epoch: [48][1920/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 2.0545 (2.0208) Prec@1 43.125 (47.782) Prec@5 73.750 (78.264) Epoch: [48][1930/11272] Time 0.868 (0.787) Data 0.002 (0.003) Loss 2.1636 (2.0209) Prec@1 48.750 (47.780) Prec@5 75.625 (78.265) Epoch: [48][1940/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 2.1847 (2.0206) Prec@1 45.000 (47.787) Prec@5 73.125 (78.266) Epoch: [48][1950/11272] Time 0.716 (0.787) Data 0.001 (0.003) Loss 2.1122 (2.0204) Prec@1 41.875 (47.784) Prec@5 78.750 (78.275) Epoch: [48][1960/11272] Time 0.726 (0.787) Data 0.001 (0.003) Loss 2.0131 (2.0204) Prec@1 48.125 (47.782) Prec@5 79.375 (78.272) Epoch: [48][1970/11272] Time 0.866 (0.787) Data 0.001 (0.003) Loss 1.9299 (2.0204) Prec@1 53.750 (47.785) Prec@5 79.375 (78.275) Epoch: [48][1980/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 2.1617 (2.0208) Prec@1 43.750 (47.777) Prec@5 76.250 (78.268) Epoch: [48][1990/11272] Time 0.722 (0.787) Data 0.001 (0.003) Loss 2.1771 (2.0213) Prec@1 42.500 (47.776) Prec@5 75.000 (78.263) Epoch: [48][2000/11272] Time 0.859 (0.787) Data 0.001 (0.003) Loss 1.9431 (2.0217) Prec@1 49.375 (47.766) Prec@5 83.750 (78.261) Epoch: [48][2010/11272] Time 0.865 (0.787) Data 0.001 (0.003) Loss 2.5922 (2.0220) Prec@1 35.000 (47.760) Prec@5 66.875 (78.255) Epoch: [48][2020/11272] Time 0.727 (0.787) Data 0.002 (0.003) Loss 2.1610 (2.0222) Prec@1 48.750 (47.766) Prec@5 80.000 (78.247) Epoch: [48][2030/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 2.0460 (2.0223) Prec@1 49.375 (47.761) Prec@5 75.625 (78.244) Epoch: [48][2040/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.9424 (2.0224) Prec@1 53.750 (47.754) Prec@5 78.125 (78.240) Epoch: [48][2050/11272] Time 0.862 (0.787) Data 0.001 (0.003) Loss 2.1852 (2.0224) Prec@1 50.000 (47.759) Prec@5 74.375 (78.237) Epoch: [48][2060/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 2.0202 (2.0224) Prec@1 45.000 (47.765) Prec@5 81.250 (78.239) Epoch: [48][2070/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 2.0353 (2.0227) Prec@1 47.500 (47.763) Prec@5 80.000 (78.232) Epoch: [48][2080/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 1.9404 (2.0232) Prec@1 52.500 (47.755) Prec@5 77.500 (78.227) Epoch: [48][2090/11272] Time 0.857 (0.787) Data 0.002 (0.003) Loss 2.0568 (2.0235) Prec@1 48.750 (47.749) Prec@5 78.750 (78.230) Epoch: [48][2100/11272] Time 0.705 (0.787) Data 0.001 (0.003) Loss 2.1526 (2.0237) Prec@1 45.000 (47.739) Prec@5 76.875 (78.229) Epoch: [48][2110/11272] Time 0.738 (0.787) Data 0.001 (0.003) Loss 2.1960 (2.0234) Prec@1 47.500 (47.749) Prec@5 73.125 (78.234) Epoch: [48][2120/11272] Time 0.832 (0.787) Data 0.001 (0.003) Loss 2.0341 (2.0234) Prec@1 47.500 (47.750) Prec@5 78.750 (78.234) Epoch: [48][2130/11272] Time 0.807 (0.787) Data 0.001 (0.003) Loss 2.2869 (2.0234) Prec@1 45.625 (47.752) Prec@5 76.875 (78.234) Epoch: [48][2140/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 2.2130 (2.0233) Prec@1 43.125 (47.758) Prec@5 74.375 (78.236) Epoch: [48][2150/11272] Time 0.847 (0.787) Data 0.002 (0.003) Loss 1.8152 (2.0235) Prec@1 51.875 (47.755) Prec@5 82.500 (78.232) Epoch: [48][2160/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 2.0387 (2.0235) Prec@1 49.375 (47.755) Prec@5 76.250 (78.231) Epoch: [48][2170/11272] Time 0.744 (0.787) Data 0.001 (0.003) Loss 2.1639 (2.0236) Prec@1 42.500 (47.751) Prec@5 76.875 (78.228) Epoch: [48][2180/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 2.0425 (2.0234) Prec@1 44.375 (47.753) Prec@5 77.500 (78.230) Epoch: [48][2190/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 2.1356 (2.0234) Prec@1 46.875 (47.755) Prec@5 74.375 (78.224) Epoch: [48][2200/11272] Time 0.787 (0.787) Data 0.001 (0.003) Loss 2.0670 (2.0231) Prec@1 40.000 (47.755) Prec@5 78.750 (78.231) Epoch: [48][2210/11272] Time 0.762 (0.787) Data 0.002 (0.003) Loss 1.9722 (2.0228) Prec@1 48.125 (47.755) Prec@5 78.125 (78.237) Epoch: [48][2220/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 2.0573 (2.0228) Prec@1 51.875 (47.759) Prec@5 76.875 (78.239) Epoch: [48][2230/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 2.1487 (2.0225) Prec@1 45.625 (47.760) Prec@5 71.875 (78.245) Epoch: [48][2240/11272] Time 0.822 (0.787) Data 0.001 (0.003) Loss 2.0358 (2.0228) Prec@1 45.000 (47.756) Prec@5 79.375 (78.237) Epoch: [48][2250/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.9470 (2.0226) Prec@1 48.750 (47.763) Prec@5 79.375 (78.239) Epoch: [48][2260/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 2.0565 (2.0227) Prec@1 48.750 (47.768) Prec@5 76.250 (78.236) Epoch: [48][2270/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 1.7447 (2.0226) Prec@1 50.000 (47.763) Prec@5 84.375 (78.236) Epoch: [48][2280/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.8757 (2.0229) Prec@1 50.000 (47.762) Prec@5 74.375 (78.228) Epoch: [48][2290/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 2.2681 (2.0228) Prec@1 42.500 (47.765) Prec@5 77.500 (78.231) Epoch: [48][2300/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 1.9347 (2.0227) Prec@1 51.250 (47.765) Prec@5 80.000 (78.234) Epoch: [48][2310/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 1.9843 (2.0225) Prec@1 48.125 (47.772) Prec@5 77.500 (78.236) Epoch: [48][2320/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.9252 (2.0226) Prec@1 46.250 (47.773) Prec@5 79.375 (78.237) Epoch: [48][2330/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.0416 (2.0227) Prec@1 41.875 (47.769) Prec@5 77.500 (78.236) Epoch: [48][2340/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 2.2039 (2.0232) Prec@1 42.500 (47.761) Prec@5 74.375 (78.229) Epoch: [48][2350/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.8437 (2.0233) Prec@1 50.000 (47.755) Prec@5 83.750 (78.233) Epoch: [48][2360/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0492 (2.0233) Prec@1 50.000 (47.754) Prec@5 75.625 (78.231) Epoch: [48][2370/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0786 (2.0232) Prec@1 46.250 (47.755) Prec@5 76.250 (78.230) Epoch: [48][2380/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 2.0573 (2.0234) Prec@1 50.000 (47.753) Prec@5 76.250 (78.225) Epoch: [48][2390/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.3114 (2.0234) Prec@1 41.250 (47.757) Prec@5 75.625 (78.225) Epoch: [48][2400/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.9006 (2.0233) Prec@1 50.625 (47.757) Prec@5 79.375 (78.226) Epoch: [48][2410/11272] Time 0.798 (0.786) Data 0.001 (0.002) Loss 2.0706 (2.0234) Prec@1 46.250 (47.752) Prec@5 78.125 (78.222) Epoch: [48][2420/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0558 (2.0236) Prec@1 46.875 (47.746) Prec@5 78.125 (78.219) Epoch: [48][2430/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.1986 (2.0235) Prec@1 45.625 (47.748) Prec@5 72.500 (78.219) Epoch: [48][2440/11272] Time 0.751 (0.786) Data 0.002 (0.002) Loss 2.2068 (2.0236) Prec@1 41.875 (47.748) Prec@5 75.000 (78.218) Epoch: [48][2450/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.9876 (2.0234) Prec@1 49.375 (47.754) Prec@5 78.750 (78.220) Epoch: [48][2460/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.9525 (2.0235) Prec@1 44.375 (47.751) Prec@5 76.250 (78.215) Epoch: [48][2470/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 2.1048 (2.0236) Prec@1 45.625 (47.748) Prec@5 77.500 (78.212) Epoch: [48][2480/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.3379 (2.0241) Prec@1 43.125 (47.739) Prec@5 74.375 (78.202) Epoch: [48][2490/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.9008 (2.0241) Prec@1 48.750 (47.739) Prec@5 78.750 (78.202) Epoch: [48][2500/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 1.6431 (2.0239) Prec@1 51.250 (47.742) Prec@5 85.000 (78.205) Epoch: [48][2510/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.7590 (2.0239) Prec@1 53.125 (47.740) Prec@5 82.500 (78.204) Epoch: [48][2520/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.9160 (2.0239) Prec@1 51.250 (47.742) Prec@5 82.500 (78.203) Epoch: [48][2530/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.0117 (2.0242) Prec@1 49.375 (47.738) Prec@5 76.250 (78.204) Epoch: [48][2540/11272] Time 0.738 (0.786) Data 0.003 (0.002) Loss 2.0119 (2.0243) Prec@1 53.125 (47.734) Prec@5 78.125 (78.200) Epoch: [48][2550/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.2384 (2.0244) Prec@1 42.500 (47.735) Prec@5 73.125 (78.194) Epoch: [48][2560/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.9105 (2.0243) Prec@1 53.125 (47.739) Prec@5 77.500 (78.199) Epoch: [48][2570/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.9020 (2.0244) Prec@1 53.125 (47.735) Prec@5 72.500 (78.194) Epoch: [48][2580/11272] Time 0.704 (0.786) Data 0.001 (0.002) Loss 2.2947 (2.0246) Prec@1 42.500 (47.730) Prec@5 71.250 (78.192) Epoch: [48][2590/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.9538 (2.0246) Prec@1 48.125 (47.729) Prec@5 79.375 (78.195) Epoch: [48][2600/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 1.9316 (2.0246) Prec@1 49.375 (47.732) Prec@5 80.000 (78.193) Epoch: [48][2610/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.9117 (2.0249) Prec@1 51.250 (47.725) Prec@5 83.125 (78.187) Epoch: [48][2620/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0103 (2.0251) Prec@1 50.625 (47.729) Prec@5 76.875 (78.182) Epoch: [48][2630/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.1538 (2.0252) Prec@1 48.750 (47.729) Prec@5 77.500 (78.181) Epoch: [48][2640/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.9544 (2.0253) Prec@1 48.125 (47.728) Prec@5 75.625 (78.177) Epoch: [48][2650/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 2.0104 (2.0253) Prec@1 49.375 (47.729) Prec@5 80.625 (78.177) Epoch: [48][2660/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.6829 (2.0253) Prec@1 52.500 (47.736) Prec@5 86.875 (78.177) Epoch: [48][2670/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9162 (2.0253) Prec@1 50.000 (47.735) Prec@5 80.625 (78.172) Epoch: [48][2680/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 1.9982 (2.0253) Prec@1 52.500 (47.735) Prec@5 73.750 (78.170) Epoch: [48][2690/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0904 (2.0254) Prec@1 43.125 (47.729) Prec@5 77.500 (78.165) Epoch: [48][2700/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.1597 (2.0257) Prec@1 41.250 (47.715) Prec@5 75.000 (78.158) Epoch: [48][2710/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0193 (2.0260) Prec@1 50.625 (47.716) Prec@5 78.750 (78.152) Epoch: [48][2720/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.9501 (2.0264) Prec@1 50.000 (47.708) Prec@5 75.000 (78.145) Epoch: [48][2730/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9126 (2.0264) Prec@1 48.125 (47.708) Prec@5 81.250 (78.143) Epoch: [48][2740/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.8900 (2.0262) Prec@1 55.000 (47.715) Prec@5 78.750 (78.145) Epoch: [48][2750/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.9966 (2.0261) Prec@1 48.750 (47.716) Prec@5 77.500 (78.145) Epoch: [48][2760/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 2.0149 (2.0258) Prec@1 51.875 (47.723) Prec@5 77.500 (78.150) Epoch: [48][2770/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.1310 (2.0262) Prec@1 44.375 (47.710) Prec@5 75.000 (78.142) Epoch: [48][2780/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0730 (2.0263) Prec@1 47.500 (47.705) Prec@5 76.250 (78.139) Epoch: [48][2790/11272] Time 0.864 (0.786) Data 0.002 (0.002) Loss 2.0051 (2.0264) Prec@1 50.000 (47.702) Prec@5 80.000 (78.139) Epoch: [48][2800/11272] Time 0.723 (0.786) Data 0.003 (0.002) Loss 2.0259 (2.0263) Prec@1 51.250 (47.705) Prec@5 74.375 (78.141) Epoch: [48][2810/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.2522 (2.0263) Prec@1 43.125 (47.702) Prec@5 75.625 (78.139) Epoch: [48][2820/11272] Time 0.860 (0.786) Data 0.001 (0.002) Loss 2.2826 (2.0264) Prec@1 43.750 (47.702) Prec@5 75.625 (78.141) Epoch: [48][2830/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 2.4414 (2.0264) Prec@1 38.750 (47.705) Prec@5 70.625 (78.142) Epoch: [48][2840/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.9554 (2.0265) Prec@1 48.750 (47.704) Prec@5 78.125 (78.141) Epoch: [48][2850/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.2134 (2.0265) Prec@1 45.625 (47.705) Prec@5 72.500 (78.142) Epoch: [48][2860/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 1.9225 (2.0261) Prec@1 46.875 (47.714) Prec@5 79.375 (78.147) Epoch: [48][2870/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.1213 (2.0264) Prec@1 43.125 (47.707) Prec@5 75.625 (78.143) Epoch: [48][2880/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0720 (2.0266) Prec@1 47.500 (47.714) Prec@5 78.125 (78.138) Epoch: [48][2890/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.1512 (2.0267) Prec@1 49.375 (47.714) Prec@5 77.500 (78.135) Epoch: [48][2900/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 2.1964 (2.0267) Prec@1 40.000 (47.710) Prec@5 78.125 (78.136) Epoch: [48][2910/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.2449 (2.0268) Prec@1 45.625 (47.709) Prec@5 74.375 (78.140) Epoch: [48][2920/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.0313 (2.0267) Prec@1 45.625 (47.710) Prec@5 74.375 (78.139) Epoch: [48][2930/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7213 (2.0266) Prec@1 54.375 (47.709) Prec@5 83.750 (78.142) Epoch: [48][2940/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.1227 (2.0265) Prec@1 43.125 (47.712) Prec@5 79.375 (78.147) Epoch: [48][2950/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.0882 (2.0264) Prec@1 45.625 (47.716) Prec@5 76.250 (78.148) Epoch: [48][2960/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.9398 (2.0263) Prec@1 50.625 (47.717) Prec@5 80.625 (78.151) Epoch: [48][2970/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.2099 (2.0265) Prec@1 45.625 (47.710) Prec@5 78.125 (78.150) Epoch: [48][2980/11272] Time 0.857 (0.786) Data 0.002 (0.002) Loss 2.0258 (2.0264) Prec@1 47.500 (47.714) Prec@5 80.000 (78.152) Epoch: [48][2990/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.8432 (2.0266) Prec@1 50.625 (47.714) Prec@5 78.750 (78.148) Epoch: [48][3000/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8168 (2.0264) Prec@1 51.875 (47.718) Prec@5 81.250 (78.155) Epoch: [48][3010/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.1080 (2.0266) Prec@1 45.625 (47.712) Prec@5 78.125 (78.150) Epoch: [48][3020/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 2.1600 (2.0268) Prec@1 43.750 (47.707) Prec@5 75.000 (78.147) Epoch: [48][3030/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.2878 (2.0267) Prec@1 43.125 (47.706) Prec@5 75.000 (78.147) Epoch: [48][3040/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 2.1900 (2.0270) Prec@1 45.000 (47.699) Prec@5 73.750 (78.145) Epoch: [48][3050/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 2.1117 (2.0271) Prec@1 48.125 (47.699) Prec@5 76.875 (78.145) Epoch: [48][3060/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.8567 (2.0273) Prec@1 49.375 (47.694) Prec@5 81.250 (78.143) Epoch: [48][3070/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 1.8476 (2.0274) Prec@1 50.625 (47.692) Prec@5 83.125 (78.143) Epoch: [48][3080/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 2.1568 (2.0271) Prec@1 43.750 (47.694) Prec@5 76.250 (78.147) Epoch: [48][3090/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 2.1642 (2.0271) Prec@1 43.750 (47.699) Prec@5 74.375 (78.148) Epoch: [48][3100/11272] Time 0.751 (0.786) Data 0.001 (0.002) Loss 2.2119 (2.0270) Prec@1 40.000 (47.698) Prec@5 75.625 (78.146) Epoch: [48][3110/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8675 (2.0270) Prec@1 55.625 (47.701) Prec@5 81.875 (78.142) Epoch: [48][3120/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.8405 (2.0270) Prec@1 53.125 (47.700) Prec@5 77.500 (78.144) Epoch: [48][3130/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 2.1791 (2.0272) Prec@1 46.250 (47.694) Prec@5 71.875 (78.140) Epoch: [48][3140/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 2.2045 (2.0273) Prec@1 48.750 (47.693) Prec@5 76.250 (78.139) Epoch: [48][3150/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.0976 (2.0275) Prec@1 46.250 (47.694) Prec@5 75.625 (78.135) Epoch: [48][3160/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0563 (2.0272) Prec@1 48.750 (47.695) Prec@5 75.000 (78.140) Epoch: [48][3170/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.1052 (2.0271) Prec@1 45.000 (47.693) Prec@5 76.250 (78.138) Epoch: [48][3180/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.1338 (2.0272) Prec@1 45.625 (47.689) Prec@5 71.875 (78.138) Epoch: [48][3190/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 2.0556 (2.0273) Prec@1 43.750 (47.685) Prec@5 78.750 (78.134) Epoch: [48][3200/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.1127 (2.0276) Prec@1 46.875 (47.682) Prec@5 74.375 (78.127) Epoch: [48][3210/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.5051 (2.0277) Prec@1 43.750 (47.682) Prec@5 71.250 (78.127) Epoch: [48][3220/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.0082 (2.0277) Prec@1 45.625 (47.679) Prec@5 80.625 (78.124) Epoch: [48][3230/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.9739 (2.0275) Prec@1 48.750 (47.680) Prec@5 78.750 (78.130) Epoch: [48][3240/11272] Time 0.854 (0.786) Data 0.001 (0.002) Loss 2.0724 (2.0276) Prec@1 48.125 (47.679) Prec@5 76.875 (78.128) Epoch: [48][3250/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.9454 (2.0274) Prec@1 51.875 (47.683) Prec@5 76.875 (78.132) Epoch: [48][3260/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.3865 (2.0275) Prec@1 40.000 (47.680) Prec@5 68.125 (78.132) Epoch: [48][3270/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 2.1259 (2.0277) Prec@1 50.000 (47.681) Prec@5 75.000 (78.130) Epoch: [48][3280/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 2.2477 (2.0279) Prec@1 43.750 (47.673) Prec@5 71.250 (78.124) Epoch: [48][3290/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.8196 (2.0279) Prec@1 58.125 (47.673) Prec@5 81.875 (78.124) Epoch: [48][3300/11272] Time 0.757 (0.786) Data 0.001 (0.002) Loss 1.9227 (2.0277) Prec@1 49.375 (47.674) Prec@5 81.250 (78.127) Epoch: [48][3310/11272] Time 0.888 (0.786) Data 0.001 (0.002) Loss 2.2188 (2.0280) Prec@1 45.625 (47.671) Prec@5 77.500 (78.122) Epoch: [48][3320/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 2.0012 (2.0280) Prec@1 45.625 (47.671) Prec@5 77.500 (78.120) Epoch: [48][3330/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.9036 (2.0280) Prec@1 48.750 (47.671) Prec@5 78.750 (78.118) Epoch: [48][3340/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 2.1562 (2.0280) Prec@1 45.625 (47.675) Prec@5 77.500 (78.117) Epoch: [48][3350/11272] Time 0.822 (0.786) Data 0.002 (0.002) Loss 2.0166 (2.0282) Prec@1 45.000 (47.670) Prec@5 80.000 (78.114) Epoch: [48][3360/11272] Time 0.774 (0.786) Data 0.002 (0.002) Loss 1.9461 (2.0282) Prec@1 50.625 (47.675) Prec@5 78.125 (78.114) Epoch: [48][3370/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9591 (2.0280) Prec@1 48.125 (47.681) Prec@5 77.500 (78.116) Epoch: [48][3380/11272] Time 0.867 (0.786) Data 0.002 (0.002) Loss 1.8186 (2.0282) Prec@1 53.750 (47.679) Prec@5 80.625 (78.112) Epoch: [48][3390/11272] Time 0.856 (0.786) Data 0.001 (0.002) Loss 1.9942 (2.0283) Prec@1 47.500 (47.679) Prec@5 80.000 (78.110) Epoch: [48][3400/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0327 (2.0284) Prec@1 49.375 (47.675) Prec@5 76.250 (78.106) Epoch: [48][3410/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.9584 (2.0284) Prec@1 46.250 (47.674) Prec@5 79.375 (78.106) Epoch: [48][3420/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.7655 (2.0284) Prec@1 51.875 (47.677) Prec@5 83.125 (78.106) Epoch: [48][3430/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.9222 (2.0285) Prec@1 51.250 (47.676) Prec@5 76.875 (78.106) Epoch: [48][3440/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.7268 (2.0284) Prec@1 59.375 (47.678) Prec@5 81.875 (78.108) Epoch: [48][3450/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 2.1831 (2.0286) Prec@1 47.500 (47.679) Prec@5 71.250 (78.100) Epoch: [48][3460/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8017 (2.0287) Prec@1 50.625 (47.679) Prec@5 85.000 (78.099) Epoch: [48][3470/11272] Time 0.732 (0.786) Data 0.003 (0.002) Loss 1.8758 (2.0288) Prec@1 50.625 (47.679) Prec@5 80.000 (78.094) Epoch: [48][3480/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.3146 (2.0288) Prec@1 40.625 (47.683) Prec@5 73.750 (78.094) Epoch: [48][3490/11272] Time 0.845 (0.786) Data 0.002 (0.002) Loss 2.0382 (2.0288) Prec@1 46.250 (47.684) Prec@5 76.875 (78.094) Epoch: [48][3500/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8084 (2.0292) Prec@1 53.125 (47.678) Prec@5 83.125 (78.089) Epoch: [48][3510/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0168 (2.0292) Prec@1 48.750 (47.677) Prec@5 75.625 (78.088) Epoch: [48][3520/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.1781 (2.0294) Prec@1 41.875 (47.673) Prec@5 76.250 (78.088) Epoch: [48][3530/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 2.0544 (2.0294) Prec@1 45.000 (47.677) Prec@5 77.500 (78.088) Epoch: [48][3540/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0254 (2.0295) Prec@1 46.875 (47.679) Prec@5 78.750 (78.082) Epoch: [48][3550/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9833 (2.0295) Prec@1 46.875 (47.681) Prec@5 72.500 (78.080) Epoch: [48][3560/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.9684 (2.0295) Prec@1 45.625 (47.679) Prec@5 81.250 (78.081) Epoch: [48][3570/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 2.1256 (2.0295) Prec@1 46.875 (47.682) Prec@5 75.625 (78.081) Epoch: [48][3580/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.0436 (2.0295) Prec@1 50.000 (47.683) Prec@5 78.750 (78.082) Epoch: [48][3590/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0115 (2.0294) Prec@1 46.875 (47.685) Prec@5 79.375 (78.080) Epoch: [48][3600/11272] Time 0.795 (0.786) Data 0.001 (0.002) Loss 2.0225 (2.0295) Prec@1 50.000 (47.683) Prec@5 78.125 (78.081) Epoch: [48][3610/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.9272 (2.0294) Prec@1 48.750 (47.680) Prec@5 79.375 (78.083) Epoch: [48][3620/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.2486 (2.0292) Prec@1 43.125 (47.681) Prec@5 75.000 (78.086) Epoch: [48][3630/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 2.0419 (2.0295) Prec@1 48.750 (47.675) Prec@5 75.000 (78.081) Epoch: [48][3640/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.2913 (2.0297) Prec@1 43.125 (47.676) Prec@5 75.000 (78.078) Epoch: [48][3650/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8396 (2.0296) Prec@1 50.000 (47.680) Prec@5 81.250 (78.083) Epoch: [48][3660/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.9180 (2.0295) Prec@1 48.750 (47.682) Prec@5 82.500 (78.084) Epoch: [48][3670/11272] Time 0.738 (0.786) Data 0.002 (0.002) Loss 2.3115 (2.0295) Prec@1 46.875 (47.681) Prec@5 70.625 (78.079) Epoch: [48][3680/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.0819 (2.0296) Prec@1 47.500 (47.680) Prec@5 75.625 (78.080) Epoch: [48][3690/11272] Time 0.860 (0.786) Data 0.001 (0.002) Loss 1.8198 (2.0295) Prec@1 51.875 (47.679) Prec@5 83.125 (78.082) Epoch: [48][3700/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 2.1436 (2.0295) Prec@1 40.000 (47.679) Prec@5 76.875 (78.082) Epoch: [48][3710/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.1567 (2.0296) Prec@1 41.875 (47.677) Prec@5 73.125 (78.078) Epoch: [48][3720/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0014 (2.0296) Prec@1 56.875 (47.682) Prec@5 76.875 (78.076) Epoch: [48][3730/11272] Time 0.721 (0.786) Data 0.003 (0.002) Loss 1.9045 (2.0297) Prec@1 51.875 (47.682) Prec@5 80.000 (78.075) Epoch: [48][3740/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.1092 (2.0297) Prec@1 40.000 (47.686) Prec@5 79.375 (78.077) Epoch: [48][3750/11272] Time 0.883 (0.786) Data 0.002 (0.002) Loss 1.9865 (2.0298) Prec@1 52.500 (47.684) Prec@5 77.500 (78.075) Epoch: [48][3760/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.9036 (2.0295) Prec@1 48.125 (47.688) Prec@5 79.375 (78.079) Epoch: [48][3770/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 2.1377 (2.0296) Prec@1 45.000 (47.683) Prec@5 74.375 (78.075) Epoch: [48][3780/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.2847 (2.0297) Prec@1 44.375 (47.686) Prec@5 72.500 (78.075) Epoch: [48][3790/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.1239 (2.0298) Prec@1 49.375 (47.686) Prec@5 74.375 (78.073) Epoch: [48][3800/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 2.1293 (2.0300) Prec@1 43.125 (47.681) Prec@5 76.250 (78.069) Epoch: [48][3810/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.9283 (2.0300) Prec@1 48.750 (47.683) Prec@5 80.625 (78.067) Epoch: [48][3820/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.0618 (2.0300) Prec@1 43.750 (47.684) Prec@5 76.875 (78.067) Epoch: [48][3830/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 2.0372 (2.0300) Prec@1 45.000 (47.680) Prec@5 79.375 (78.066) Epoch: [48][3840/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.8235 (2.0299) Prec@1 50.625 (47.683) Prec@5 77.500 (78.067) Epoch: [48][3850/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.8236 (2.0299) Prec@1 48.750 (47.684) Prec@5 81.250 (78.069) Epoch: [48][3860/11272] Time 0.894 (0.786) Data 0.001 (0.002) Loss 2.0149 (2.0298) Prec@1 48.125 (47.682) Prec@5 77.500 (78.069) Epoch: [48][3870/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.9629 (2.0298) Prec@1 48.750 (47.682) Prec@5 80.000 (78.069) Epoch: [48][3880/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.3116 (2.0298) Prec@1 38.750 (47.680) Prec@5 74.375 (78.070) Epoch: [48][3890/11272] Time 0.761 (0.786) Data 0.002 (0.002) Loss 2.2386 (2.0301) Prec@1 43.750 (47.675) Prec@5 75.625 (78.063) Epoch: [48][3900/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 2.0563 (2.0301) Prec@1 48.125 (47.679) Prec@5 76.875 (78.062) Epoch: [48][3910/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.8966 (2.0302) Prec@1 53.125 (47.677) Prec@5 76.250 (78.058) Epoch: [48][3920/11272] Time 0.749 (0.786) Data 0.002 (0.002) Loss 1.9988 (2.0302) Prec@1 53.125 (47.678) Prec@5 81.875 (78.063) Epoch: [48][3930/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.1008 (2.0303) Prec@1 40.625 (47.669) Prec@5 76.250 (78.064) Epoch: [48][3940/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 2.3031 (2.0304) Prec@1 43.125 (47.669) Prec@5 71.875 (78.065) Epoch: [48][3950/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.2137 (2.0305) Prec@1 45.625 (47.667) Prec@5 77.500 (78.064) Epoch: [48][3960/11272] Time 0.697 (0.786) Data 0.001 (0.002) Loss 2.0000 (2.0307) Prec@1 42.500 (47.663) Prec@5 79.375 (78.065) Epoch: [48][3970/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.8176 (2.0307) Prec@1 52.500 (47.665) Prec@5 80.000 (78.062) Epoch: [48][3980/11272] Time 0.804 (0.786) Data 0.001 (0.002) Loss 2.1303 (2.0307) Prec@1 47.500 (47.662) Prec@5 76.875 (78.060) Epoch: [48][3990/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0088 (2.0308) Prec@1 47.500 (47.660) Prec@5 76.250 (78.060) Epoch: [48][4000/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1194 (2.0310) Prec@1 41.875 (47.654) Prec@5 77.500 (78.059) Epoch: [48][4010/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 1.7602 (2.0309) Prec@1 56.875 (47.656) Prec@5 80.625 (78.058) Epoch: [48][4020/11272] Time 0.855 (0.786) Data 0.002 (0.002) Loss 2.0596 (2.0308) Prec@1 50.000 (47.660) Prec@5 78.750 (78.060) Epoch: [48][4030/11272] Time 0.741 (0.785) Data 0.002 (0.002) Loss 2.2234 (2.0310) Prec@1 43.125 (47.657) Prec@5 74.375 (78.060) Epoch: [48][4040/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.7806 (2.0310) Prec@1 53.750 (47.657) Prec@5 81.250 (78.059) Epoch: [48][4050/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.1707 (2.0310) Prec@1 43.125 (47.658) Prec@5 77.500 (78.061) Epoch: [48][4060/11272] Time 0.868 (0.785) Data 0.002 (0.002) Loss 1.9858 (2.0311) Prec@1 47.500 (47.657) Prec@5 79.375 (78.061) Epoch: [48][4070/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.4157 (2.0313) Prec@1 41.250 (47.654) Prec@5 70.000 (78.058) Epoch: [48][4080/11272] Time 0.730 (0.785) Data 0.001 (0.002) Loss 1.8197 (2.0314) Prec@1 51.250 (47.651) Prec@5 79.375 (78.053) Epoch: [48][4090/11272] Time 0.876 (0.785) Data 0.001 (0.002) Loss 2.0417 (2.0314) Prec@1 48.750 (47.652) Prec@5 77.500 (78.054) Epoch: [48][4100/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 2.2244 (2.0314) Prec@1 45.625 (47.651) Prec@5 75.625 (78.053) Epoch: [48][4110/11272] Time 0.735 (0.785) Data 0.002 (0.002) Loss 2.1711 (2.0314) Prec@1 45.000 (47.655) Prec@5 74.375 (78.056) Epoch: [48][4120/11272] Time 0.744 (0.785) Data 0.001 (0.002) Loss 2.0608 (2.0315) Prec@1 42.500 (47.651) Prec@5 78.125 (78.057) Epoch: [48][4130/11272] Time 0.853 (0.785) Data 0.001 (0.002) Loss 1.8664 (2.0314) Prec@1 52.500 (47.653) Prec@5 85.625 (78.061) Epoch: [48][4140/11272] Time 0.730 (0.785) Data 0.001 (0.002) Loss 1.9729 (2.0317) Prec@1 43.750 (47.646) Prec@5 78.750 (78.056) Epoch: [48][4150/11272] Time 0.765 (0.785) Data 0.002 (0.002) Loss 1.9455 (2.0318) Prec@1 48.750 (47.647) Prec@5 81.875 (78.055) Epoch: [48][4160/11272] Time 0.841 (0.785) Data 0.002 (0.002) Loss 2.2256 (2.0317) Prec@1 45.625 (47.647) Prec@5 76.250 (78.055) Epoch: [48][4170/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 2.2393 (2.0317) Prec@1 45.625 (47.647) Prec@5 76.250 (78.055) Epoch: [48][4180/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.3967 (2.0317) Prec@1 43.125 (47.648) Prec@5 70.000 (78.053) Epoch: [48][4190/11272] Time 0.756 (0.786) Data 0.001 (0.002) Loss 2.3533 (2.0320) Prec@1 43.125 (47.643) Prec@5 73.750 (78.048) Epoch: [48][4200/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.9496 (2.0320) Prec@1 50.000 (47.643) Prec@5 77.500 (78.046) Epoch: [48][4210/11272] Time 0.833 (0.786) Data 0.002 (0.002) Loss 2.3770 (2.0320) Prec@1 43.750 (47.643) Prec@5 69.375 (78.044) Epoch: [48][4220/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.0976 (2.0321) Prec@1 43.750 (47.642) Prec@5 75.625 (78.041) Epoch: [48][4230/11272] Time 0.731 (0.785) Data 0.001 (0.002) Loss 2.0566 (2.0322) Prec@1 45.625 (47.645) Prec@5 80.000 (78.036) Epoch: [48][4240/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.0720 (2.0321) Prec@1 50.000 (47.649) Prec@5 78.125 (78.039) Epoch: [48][4250/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0915 (2.0321) Prec@1 46.250 (47.650) Prec@5 74.375 (78.042) Epoch: [48][4260/11272] Time 0.738 (0.785) Data 0.001 (0.002) Loss 1.7687 (2.0320) Prec@1 51.250 (47.654) Prec@5 81.250 (78.042) Epoch: [48][4270/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.8881 (2.0319) Prec@1 51.250 (47.657) Prec@5 81.250 (78.044) Epoch: [48][4280/11272] Time 0.820 (0.785) Data 0.001 (0.002) Loss 2.1714 (2.0319) Prec@1 43.125 (47.656) Prec@5 75.000 (78.041) Epoch: [48][4290/11272] Time 0.732 (0.785) Data 0.001 (0.002) Loss 1.7699 (2.0318) Prec@1 55.625 (47.657) Prec@5 83.125 (78.044) Epoch: [48][4300/11272] Time 0.790 (0.785) Data 0.001 (0.002) Loss 2.0590 (2.0318) Prec@1 52.500 (47.658) Prec@5 75.000 (78.042) Epoch: [48][4310/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 2.2429 (2.0318) Prec@1 43.125 (47.660) Prec@5 73.750 (78.041) Epoch: [48][4320/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.9969 (2.0318) Prec@1 48.125 (47.661) Prec@5 75.625 (78.041) Epoch: [48][4330/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.8499 (2.0320) Prec@1 51.875 (47.656) Prec@5 83.750 (78.039) Epoch: [48][4340/11272] Time 0.740 (0.785) Data 0.002 (0.002) Loss 2.0521 (2.0322) Prec@1 46.875 (47.648) Prec@5 78.125 (78.034) Epoch: [48][4350/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 2.1437 (2.0322) Prec@1 45.000 (47.648) Prec@5 75.000 (78.036) Epoch: [48][4360/11272] Time 0.818 (0.785) Data 0.001 (0.002) Loss 1.9586 (2.0321) Prec@1 45.625 (47.646) Prec@5 78.750 (78.038) Epoch: [48][4370/11272] Time 0.730 (0.785) Data 0.001 (0.002) Loss 2.2933 (2.0322) Prec@1 40.000 (47.642) Prec@5 75.000 (78.038) Epoch: [48][4380/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 2.0983 (2.0320) Prec@1 50.000 (47.649) Prec@5 71.250 (78.039) Epoch: [48][4390/11272] Time 0.836 (0.785) Data 0.001 (0.002) Loss 1.9311 (2.0320) Prec@1 48.125 (47.646) Prec@5 80.000 (78.037) Epoch: [48][4400/11272] Time 0.712 (0.785) Data 0.003 (0.002) Loss 2.1608 (2.0319) Prec@1 43.750 (47.648) Prec@5 77.500 (78.037) Epoch: [48][4410/11272] Time 0.731 (0.785) Data 0.001 (0.002) Loss 2.0867 (2.0317) Prec@1 46.875 (47.649) Prec@5 77.500 (78.041) Epoch: [48][4420/11272] Time 0.848 (0.785) Data 0.001 (0.002) Loss 2.4569 (2.0318) Prec@1 40.625 (47.649) Prec@5 72.500 (78.039) Epoch: [48][4430/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.9223 (2.0317) Prec@1 56.250 (47.652) Prec@5 78.750 (78.040) Epoch: [48][4440/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 1.9618 (2.0317) Prec@1 51.875 (47.653) Prec@5 77.500 (78.040) Epoch: [48][4450/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9116 (2.0316) Prec@1 50.000 (47.653) Prec@5 83.750 (78.044) Epoch: [48][4460/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 2.0507 (2.0317) Prec@1 49.375 (47.651) Prec@5 75.000 (78.043) Epoch: [48][4470/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 2.0333 (2.0318) Prec@1 50.000 (47.648) Prec@5 80.000 (78.042) Epoch: [48][4480/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 2.0672 (2.0318) Prec@1 49.375 (47.647) Prec@5 76.875 (78.038) Epoch: [48][4490/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.9140 (2.0318) Prec@1 48.125 (47.646) Prec@5 80.625 (78.040) Epoch: [48][4500/11272] Time 0.806 (0.785) Data 0.001 (0.002) Loss 2.2389 (2.0319) Prec@1 43.125 (47.644) Prec@5 77.500 (78.036) Epoch: [48][4510/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.0870 (2.0318) Prec@1 48.750 (47.644) Prec@5 73.125 (78.037) Epoch: [48][4520/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 2.2640 (2.0320) Prec@1 46.250 (47.639) Prec@5 72.500 (78.032) Epoch: [48][4530/11272] Time 0.873 (0.786) Data 0.001 (0.002) Loss 2.0142 (2.0320) Prec@1 45.000 (47.637) Prec@5 79.375 (78.033) Epoch: [48][4540/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 2.0490 (2.0322) Prec@1 51.875 (47.635) Prec@5 78.125 (78.027) Epoch: [48][4550/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.8354 (2.0320) Prec@1 48.750 (47.637) Prec@5 83.750 (78.030) Epoch: [48][4560/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.2302 (2.0321) Prec@1 37.500 (47.633) Prec@5 74.375 (78.025) Epoch: [48][4570/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0642 (2.0321) Prec@1 48.750 (47.636) Prec@5 75.000 (78.026) Epoch: [48][4580/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 1.9624 (2.0319) Prec@1 48.125 (47.640) Prec@5 78.750 (78.030) Epoch: [48][4590/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.9674 (2.0319) Prec@1 51.875 (47.641) Prec@5 79.375 (78.031) Epoch: [48][4600/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.1951 (2.0320) Prec@1 42.500 (47.635) Prec@5 73.750 (78.030) Epoch: [48][4610/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.8138 (2.0320) Prec@1 48.750 (47.633) Prec@5 79.375 (78.031) Epoch: [48][4620/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.8937 (2.0320) Prec@1 51.250 (47.633) Prec@5 83.750 (78.034) Epoch: [48][4630/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.8672 (2.0318) Prec@1 52.500 (47.636) Prec@5 80.000 (78.037) Epoch: [48][4640/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 2.1958 (2.0321) Prec@1 41.875 (47.628) Prec@5 76.875 (78.035) Epoch: [48][4650/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.9953 (2.0323) Prec@1 51.875 (47.623) Prec@5 77.500 (78.030) Epoch: [48][4660/11272] Time 0.725 (0.786) Data 0.003 (0.002) Loss 2.0907 (2.0323) Prec@1 47.500 (47.621) Prec@5 75.625 (78.032) Epoch: [48][4670/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.9547 (2.0324) Prec@1 46.250 (47.617) Prec@5 80.000 (78.029) Epoch: [48][4680/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 2.0320 (2.0323) Prec@1 47.500 (47.616) Prec@5 76.875 (78.028) Epoch: [48][4690/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.1253 (2.0324) Prec@1 45.000 (47.614) Prec@5 76.250 (78.027) Epoch: [48][4700/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.1713 (2.0325) Prec@1 42.500 (47.608) Prec@5 76.250 (78.025) Epoch: [48][4710/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8608 (2.0326) Prec@1 46.250 (47.606) Prec@5 85.000 (78.024) Epoch: [48][4720/11272] Time 0.880 (0.786) Data 0.001 (0.002) Loss 2.0947 (2.0324) Prec@1 48.750 (47.611) Prec@5 76.250 (78.026) Epoch: [48][4730/11272] Time 0.793 (0.786) Data 0.001 (0.002) Loss 1.9819 (2.0324) Prec@1 48.750 (47.612) Prec@5 78.750 (78.029) Epoch: [48][4740/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.2151 (2.0324) Prec@1 43.750 (47.609) Prec@5 71.250 (78.027) Epoch: [48][4750/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.1681 (2.0326) Prec@1 46.875 (47.606) Prec@5 74.375 (78.027) Epoch: [48][4760/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.8986 (2.0324) Prec@1 52.500 (47.606) Prec@5 81.250 (78.031) Epoch: [48][4770/11272] Time 0.788 (0.785) Data 0.001 (0.002) Loss 2.1684 (2.0325) Prec@1 42.500 (47.605) Prec@5 76.875 (78.028) Epoch: [48][4780/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.9109 (2.0325) Prec@1 48.125 (47.604) Prec@5 81.875 (78.031) Epoch: [48][4790/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 2.0261 (2.0326) Prec@1 45.000 (47.603) Prec@5 81.250 (78.031) Epoch: [48][4800/11272] Time 0.871 (0.785) Data 0.001 (0.002) Loss 1.9697 (2.0326) Prec@1 50.625 (47.605) Prec@5 80.625 (78.033) Epoch: [48][4810/11272] Time 0.741 (0.785) Data 0.001 (0.002) Loss 2.0104 (2.0327) Prec@1 47.500 (47.603) Prec@5 80.625 (78.030) Epoch: [48][4820/11272] Time 0.725 (0.785) Data 0.001 (0.002) Loss 2.1057 (2.0329) Prec@1 45.625 (47.600) Prec@5 76.250 (78.026) Epoch: [48][4830/11272] Time 0.835 (0.785) Data 0.002 (0.002) Loss 2.0654 (2.0330) Prec@1 51.250 (47.598) Prec@5 76.875 (78.022) Epoch: [48][4840/11272] Time 0.894 (0.786) Data 0.002 (0.002) Loss 1.8938 (2.0329) Prec@1 56.250 (47.600) Prec@5 83.750 (78.026) Epoch: [48][4850/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 2.2292 (2.0329) Prec@1 46.250 (47.602) Prec@5 73.750 (78.025) Epoch: [48][4860/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.9465 (2.0329) Prec@1 47.500 (47.601) Prec@5 81.250 (78.025) Epoch: [48][4870/11272] Time 0.862 (0.786) Data 0.002 (0.002) Loss 1.8233 (2.0329) Prec@1 55.625 (47.601) Prec@5 80.625 (78.022) Epoch: [48][4880/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.9042 (2.0327) Prec@1 50.625 (47.605) Prec@5 83.125 (78.023) Epoch: [48][4890/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.8545 (2.0326) Prec@1 50.625 (47.604) Prec@5 83.125 (78.025) Epoch: [48][4900/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.9737 (2.0327) Prec@1 47.500 (47.600) Prec@5 80.625 (78.024) Epoch: [48][4910/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.0683 (2.0328) Prec@1 44.375 (47.600) Prec@5 78.125 (78.024) Epoch: [48][4920/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 2.1732 (2.0329) Prec@1 44.375 (47.597) Prec@5 75.625 (78.019) Epoch: [48][4930/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.9963 (2.0329) Prec@1 45.000 (47.597) Prec@5 78.125 (78.020) Epoch: [48][4940/11272] Time 0.877 (0.786) Data 0.001 (0.002) Loss 2.2579 (2.0329) Prec@1 43.125 (47.595) Prec@5 75.000 (78.020) Epoch: [48][4950/11272] Time 0.820 (0.786) Data 0.002 (0.002) Loss 1.8850 (2.0329) Prec@1 50.625 (47.595) Prec@5 82.500 (78.021) Epoch: [48][4960/11272] Time 0.756 (0.786) Data 0.001 (0.002) Loss 2.1265 (2.0330) Prec@1 48.125 (47.597) Prec@5 75.000 (78.021) Epoch: [48][4970/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.0145 (2.0330) Prec@1 49.375 (47.595) Prec@5 79.375 (78.019) Epoch: [48][4980/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 2.2407 (2.0332) Prec@1 41.250 (47.588) Prec@5 73.750 (78.018) Epoch: [48][4990/11272] Time 0.811 (0.786) Data 0.001 (0.002) Loss 2.0369 (2.0333) Prec@1 46.250 (47.586) Prec@5 76.875 (78.015) Epoch: [48][5000/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.1207 (2.0334) Prec@1 49.375 (47.584) Prec@5 75.625 (78.012) Epoch: [48][5010/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.1252 (2.0333) Prec@1 43.750 (47.585) Prec@5 79.375 (78.013) Epoch: [48][5020/11272] Time 0.797 (0.786) Data 0.001 (0.002) Loss 2.2950 (2.0334) Prec@1 43.750 (47.581) Prec@5 75.000 (78.010) Epoch: [48][5030/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9271 (2.0335) Prec@1 44.375 (47.577) Prec@5 81.250 (78.009) Epoch: [48][5040/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9347 (2.0335) Prec@1 43.750 (47.577) Prec@5 76.875 (78.008) Epoch: [48][5050/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 2.0746 (2.0335) Prec@1 48.125 (47.581) Prec@5 79.375 (78.009) Epoch: [48][5060/11272] Time 0.843 (0.785) Data 0.001 (0.002) Loss 2.0848 (2.0336) Prec@1 47.500 (47.577) Prec@5 80.625 (78.007) Epoch: [48][5070/11272] Time 0.725 (0.785) Data 0.001 (0.002) Loss 2.3310 (2.0338) Prec@1 41.875 (47.573) Prec@5 74.375 (78.003) Epoch: [48][5080/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 2.2084 (2.0340) Prec@1 45.625 (47.569) Prec@5 78.750 (78.000) Epoch: [48][5090/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.0721 (2.0340) Prec@1 48.125 (47.570) Prec@5 77.500 (77.997) Epoch: [48][5100/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.8119 (2.0339) Prec@1 58.125 (47.574) Prec@5 80.000 (77.999) Epoch: [48][5110/11272] Time 0.739 (0.785) Data 0.001 (0.002) Loss 2.2666 (2.0342) Prec@1 43.750 (47.568) Prec@5 73.750 (77.994) Epoch: [48][5120/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 2.0136 (2.0342) Prec@1 47.500 (47.565) Prec@5 80.000 (77.994) Epoch: [48][5130/11272] Time 0.801 (0.785) Data 0.002 (0.002) Loss 2.1162 (2.0343) Prec@1 43.125 (47.565) Prec@5 73.750 (77.992) Epoch: [48][5140/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.1907 (2.0344) Prec@1 44.375 (47.563) Prec@5 76.250 (77.993) Epoch: [48][5150/11272] Time 0.725 (0.785) Data 0.001 (0.002) Loss 2.1282 (2.0344) Prec@1 43.125 (47.560) Prec@5 73.750 (77.993) Epoch: [48][5160/11272] Time 0.728 (0.785) Data 0.002 (0.002) Loss 1.8089 (2.0344) Prec@1 56.250 (47.559) Prec@5 82.500 (77.990) Epoch: [48][5170/11272] Time 0.853 (0.785) Data 0.001 (0.002) Loss 2.1091 (2.0345) Prec@1 44.375 (47.558) Prec@5 79.375 (77.989) Epoch: [48][5180/11272] Time 0.858 (0.785) Data 0.002 (0.002) Loss 2.2290 (2.0347) Prec@1 41.250 (47.552) Prec@5 78.125 (77.987) Epoch: [48][5190/11272] Time 0.757 (0.785) Data 0.001 (0.002) Loss 1.8865 (2.0346) Prec@1 48.125 (47.555) Prec@5 81.250 (77.987) Epoch: [48][5200/11272] Time 0.811 (0.785) Data 0.001 (0.002) Loss 1.9127 (2.0346) Prec@1 46.875 (47.556) Prec@5 77.500 (77.987) Epoch: [48][5210/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 2.2490 (2.0347) Prec@1 48.750 (47.553) Prec@5 72.500 (77.987) Epoch: [48][5220/11272] Time 0.721 (0.785) Data 0.002 (0.002) Loss 2.0594 (2.0346) Prec@1 45.625 (47.554) Prec@5 78.125 (77.985) Epoch: [48][5230/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 2.1631 (2.0347) Prec@1 43.750 (47.550) Prec@5 73.125 (77.985) Epoch: [48][5240/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 2.0409 (2.0348) Prec@1 47.500 (47.549) Prec@5 78.125 (77.983) Epoch: [48][5250/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 2.3631 (2.0349) Prec@1 41.875 (47.547) Prec@5 68.750 (77.981) Epoch: [48][5260/11272] Time 0.753 (0.786) Data 0.001 (0.002) Loss 2.0429 (2.0349) Prec@1 43.125 (47.546) Prec@5 76.250 (77.980) Epoch: [48][5270/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.8655 (2.0348) Prec@1 49.375 (47.546) Prec@5 83.125 (77.980) Epoch: [48][5280/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.7978 (2.0350) Prec@1 48.750 (47.542) Prec@5 83.125 (77.975) Epoch: [48][5290/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 2.0767 (2.0350) Prec@1 47.500 (47.541) Prec@5 76.250 (77.974) Epoch: [48][5300/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.1150 (2.0350) Prec@1 41.250 (47.538) Prec@5 74.375 (77.973) Epoch: [48][5310/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.8157 (2.0350) Prec@1 47.500 (47.537) Prec@5 85.000 (77.976) Epoch: [48][5320/11272] Time 0.842 (0.785) Data 0.003 (0.002) Loss 1.9613 (2.0348) Prec@1 49.375 (47.540) Prec@5 81.250 (77.978) Epoch: [48][5330/11272] Time 0.790 (0.785) Data 0.004 (0.002) Loss 1.7827 (2.0348) Prec@1 51.250 (47.540) Prec@5 81.875 (77.979) Epoch: [48][5340/11272] Time 0.753 (0.785) Data 0.001 (0.002) Loss 1.9344 (2.0348) Prec@1 46.250 (47.542) Prec@5 78.125 (77.979) Epoch: [48][5350/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 1.8420 (2.0346) Prec@1 51.875 (47.544) Prec@5 80.625 (77.981) Epoch: [48][5360/11272] Time 0.896 (0.786) Data 0.002 (0.002) Loss 2.0158 (2.0345) Prec@1 45.625 (47.546) Prec@5 78.750 (77.983) Epoch: [48][5370/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9839 (2.0346) Prec@1 47.500 (47.544) Prec@5 77.500 (77.981) Epoch: [48][5380/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1110 (2.0346) Prec@1 45.000 (47.542) Prec@5 76.250 (77.981) Epoch: [48][5390/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.3256 (2.0347) Prec@1 36.875 (47.539) Prec@5 75.000 (77.981) Epoch: [48][5400/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.1185 (2.0347) Prec@1 46.250 (47.537) Prec@5 74.375 (77.982) Epoch: [48][5410/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 2.1159 (2.0348) Prec@1 46.250 (47.539) Prec@5 75.000 (77.981) Epoch: [48][5420/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 2.1291 (2.0348) Prec@1 44.375 (47.537) Prec@5 76.875 (77.981) Epoch: [48][5430/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.8572 (2.0347) Prec@1 53.125 (47.539) Prec@5 83.125 (77.983) Epoch: [48][5440/11272] Time 0.821 (0.785) Data 0.001 (0.002) Loss 2.2325 (2.0347) Prec@1 43.125 (47.538) Prec@5 71.250 (77.983) Epoch: [48][5450/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 2.1635 (2.0346) Prec@1 47.500 (47.542) Prec@5 78.125 (77.985) Epoch: [48][5460/11272] Time 0.841 (0.785) Data 0.001 (0.002) Loss 1.9706 (2.0346) Prec@1 50.625 (47.540) Prec@5 80.625 (77.984) Epoch: [48][5470/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 2.0681 (2.0346) Prec@1 45.625 (47.539) Prec@5 78.125 (77.984) Epoch: [48][5480/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 1.8349 (2.0347) Prec@1 54.375 (47.540) Prec@5 81.250 (77.982) Epoch: [48][5490/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.0900 (2.0346) Prec@1 51.250 (47.543) Prec@5 76.250 (77.982) Epoch: [48][5500/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.8748 (2.0346) Prec@1 47.500 (47.543) Prec@5 81.875 (77.982) Epoch: [48][5510/11272] Time 0.827 (0.785) Data 0.002 (0.002) Loss 1.9412 (2.0346) Prec@1 50.000 (47.542) Prec@5 81.875 (77.982) Epoch: [48][5520/11272] Time 0.731 (0.785) Data 0.001 (0.002) Loss 2.3543 (2.0347) Prec@1 43.125 (47.543) Prec@5 74.375 (77.980) Epoch: [48][5530/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 2.2313 (2.0349) Prec@1 45.625 (47.538) Prec@5 77.500 (77.980) Epoch: [48][5540/11272] Time 0.815 (0.785) Data 0.001 (0.002) Loss 1.8671 (2.0349) Prec@1 52.500 (47.538) Prec@5 79.375 (77.979) Epoch: [48][5550/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 2.0108 (2.0349) Prec@1 46.250 (47.535) Prec@5 80.000 (77.980) Epoch: [48][5560/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 2.1952 (2.0349) Prec@1 45.000 (47.538) Prec@5 75.625 (77.979) Epoch: [48][5570/11272] Time 0.810 (0.785) Data 0.002 (0.002) Loss 2.1813 (2.0351) Prec@1 48.125 (47.533) Prec@5 76.250 (77.978) Epoch: [48][5580/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 1.9899 (2.0352) Prec@1 48.750 (47.531) Prec@5 77.500 (77.978) Epoch: [48][5590/11272] Time 0.729 (0.785) Data 0.003 (0.002) Loss 2.2593 (2.0352) Prec@1 46.875 (47.532) Prec@5 73.750 (77.978) Epoch: [48][5600/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 2.0111 (2.0352) Prec@1 48.125 (47.531) Prec@5 81.250 (77.980) Epoch: [48][5610/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 1.8110 (2.0351) Prec@1 55.625 (47.534) Prec@5 84.375 (77.982) Epoch: [48][5620/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.7807 (2.0351) Prec@1 56.250 (47.534) Prec@5 84.375 (77.983) Epoch: [48][5630/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 2.0778 (2.0352) Prec@1 46.875 (47.531) Prec@5 76.250 (77.981) Epoch: [48][5640/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 2.2089 (2.0353) Prec@1 42.500 (47.531) Prec@5 73.750 (77.980) Epoch: [48][5650/11272] Time 0.860 (0.785) Data 0.001 (0.002) Loss 2.0192 (2.0354) Prec@1 44.375 (47.529) Prec@5 83.125 (77.979) Epoch: [48][5660/11272] Time 0.874 (0.785) Data 0.002 (0.002) Loss 1.7870 (2.0354) Prec@1 49.375 (47.529) Prec@5 86.875 (77.979) Epoch: [48][5670/11272] Time 0.722 (0.785) Data 0.002 (0.002) Loss 2.0725 (2.0354) Prec@1 45.625 (47.528) Prec@5 75.625 (77.979) Epoch: [48][5680/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 2.1262 (2.0354) Prec@1 42.500 (47.530) Prec@5 76.250 (77.979) Epoch: [48][5690/11272] Time 0.822 (0.785) Data 0.002 (0.002) Loss 2.1655 (2.0356) Prec@1 46.875 (47.527) Prec@5 76.250 (77.976) Epoch: [48][5700/11272] Time 0.818 (0.785) Data 0.001 (0.002) Loss 2.0398 (2.0357) Prec@1 48.125 (47.526) Prec@5 78.750 (77.975) Epoch: [48][5710/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 2.1254 (2.0357) Prec@1 47.500 (47.524) Prec@5 76.875 (77.976) Epoch: [48][5720/11272] Time 0.835 (0.785) Data 0.002 (0.002) Loss 2.0359 (2.0358) Prec@1 40.625 (47.522) Prec@5 76.250 (77.975) Epoch: [48][5730/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.9804 (2.0358) Prec@1 48.125 (47.521) Prec@5 78.125 (77.974) Epoch: [48][5740/11272] Time 0.748 (0.785) Data 0.001 (0.002) Loss 2.1505 (2.0357) Prec@1 40.625 (47.522) Prec@5 76.250 (77.975) Epoch: [48][5750/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 2.2610 (2.0359) Prec@1 42.500 (47.518) Prec@5 72.500 (77.967) Epoch: [48][5760/11272] Time 0.826 (0.785) Data 0.001 (0.002) Loss 1.7805 (2.0359) Prec@1 51.250 (47.520) Prec@5 84.375 (77.968) Epoch: [48][5770/11272] Time 0.837 (0.785) Data 0.001 (0.002) Loss 2.2518 (2.0359) Prec@1 43.750 (47.520) Prec@5 73.125 (77.968) Epoch: [48][5780/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 2.2786 (2.0359) Prec@1 40.000 (47.521) Prec@5 74.375 (77.969) Epoch: [48][5790/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 1.9550 (2.0360) Prec@1 47.500 (47.518) Prec@5 80.000 (77.968) Epoch: [48][5800/11272] Time 0.839 (0.785) Data 0.001 (0.002) Loss 2.1575 (2.0362) Prec@1 41.875 (47.513) Prec@5 74.375 (77.964) Epoch: [48][5810/11272] Time 0.822 (0.785) Data 0.001 (0.002) Loss 1.8868 (2.0361) Prec@1 50.625 (47.513) Prec@5 81.250 (77.967) Epoch: [48][5820/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 2.2440 (2.0361) Prec@1 45.000 (47.513) Prec@5 76.250 (77.966) Epoch: [48][5830/11272] Time 0.762 (0.785) Data 0.002 (0.002) Loss 2.0252 (2.0362) Prec@1 47.500 (47.513) Prec@5 80.000 (77.966) Epoch: [48][5840/11272] Time 0.831 (0.785) Data 0.001 (0.002) Loss 1.8701 (2.0360) Prec@1 46.875 (47.516) Prec@5 82.500 (77.968) Epoch: [48][5850/11272] Time 0.830 (0.785) Data 0.002 (0.002) Loss 2.1490 (2.0361) Prec@1 41.875 (47.512) Prec@5 76.875 (77.965) Epoch: [48][5860/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.8659 (2.0362) Prec@1 53.125 (47.509) Prec@5 78.125 (77.964) Epoch: [48][5870/11272] Time 0.908 (0.785) Data 0.001 (0.002) Loss 1.8748 (2.0362) Prec@1 55.000 (47.510) Prec@5 80.000 (77.964) Epoch: [48][5880/11272] Time 0.805 (0.785) Data 0.001 (0.002) Loss 2.2372 (2.0362) Prec@1 42.500 (47.508) Prec@5 71.250 (77.964) Epoch: [48][5890/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 1.9022 (2.0362) Prec@1 46.875 (47.508) Prec@5 80.625 (77.965) Epoch: [48][5900/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.8171 (2.0362) Prec@1 51.875 (47.506) Prec@5 85.625 (77.965) Epoch: [48][5910/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.1995 (2.0363) Prec@1 45.000 (47.503) Prec@5 75.625 (77.963) Epoch: [48][5920/11272] Time 0.792 (0.786) Data 0.002 (0.002) Loss 2.2548 (2.0363) Prec@1 47.500 (47.504) Prec@5 72.500 (77.962) Epoch: [48][5930/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 2.0351 (2.0364) Prec@1 50.625 (47.506) Prec@5 76.875 (77.961) Epoch: [48][5940/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 2.0527 (2.0364) Prec@1 42.500 (47.504) Prec@5 73.125 (77.960) Epoch: [48][5950/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 2.1131 (2.0364) Prec@1 46.875 (47.505) Prec@5 78.750 (77.962) Epoch: [48][5960/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.9101 (2.0364) Prec@1 50.625 (47.507) Prec@5 81.250 (77.964) Epoch: [48][5970/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.0192 (2.0364) Prec@1 49.375 (47.508) Prec@5 78.125 (77.963) Epoch: [48][5980/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.9666 (2.0363) Prec@1 44.375 (47.509) Prec@5 80.625 (77.965) Epoch: [48][5990/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.9773 (2.0364) Prec@1 45.000 (47.506) Prec@5 76.250 (77.962) Epoch: [48][6000/11272] Time 0.763 (0.786) Data 0.001 (0.002) Loss 2.1524 (2.0363) Prec@1 47.500 (47.508) Prec@5 75.000 (77.963) Epoch: [48][6010/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0986 (2.0363) Prec@1 46.250 (47.508) Prec@5 77.500 (77.963) Epoch: [48][6020/11272] Time 0.894 (0.786) Data 0.001 (0.002) Loss 2.1012 (2.0363) Prec@1 45.625 (47.510) Prec@5 75.000 (77.963) Epoch: [48][6030/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.8580 (2.0362) Prec@1 52.500 (47.513) Prec@5 79.375 (77.966) Epoch: [48][6040/11272] Time 0.762 (0.786) Data 0.001 (0.002) Loss 1.8343 (2.0363) Prec@1 53.125 (47.513) Prec@5 83.750 (77.963) Epoch: [48][6050/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.9345 (2.0362) Prec@1 51.875 (47.516) Prec@5 78.125 (77.965) Epoch: [48][6060/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 2.0173 (2.0362) Prec@1 47.500 (47.514) Prec@5 81.250 (77.965) Epoch: [48][6070/11272] Time 0.861 (0.786) Data 0.001 (0.002) Loss 2.1569 (2.0363) Prec@1 43.750 (47.515) Prec@5 75.000 (77.963) Epoch: [48][6080/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 1.9529 (2.0364) Prec@1 52.500 (47.513) Prec@5 77.500 (77.960) Epoch: [48][6090/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.1214 (2.0363) Prec@1 49.375 (47.515) Prec@5 78.125 (77.963) Epoch: [48][6100/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.0367 (2.0363) Prec@1 43.750 (47.514) Prec@5 79.375 (77.965) Epoch: [48][6110/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.9002 (2.0364) Prec@1 51.250 (47.513) Prec@5 83.125 (77.964) Epoch: [48][6120/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 1.8794 (2.0363) Prec@1 54.375 (47.516) Prec@5 81.875 (77.966) Epoch: [48][6130/11272] Time 0.854 (0.786) Data 0.001 (0.002) Loss 2.0696 (2.0364) Prec@1 45.000 (47.515) Prec@5 76.250 (77.964) Epoch: [48][6140/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 2.0421 (2.0363) Prec@1 48.750 (47.518) Prec@5 80.000 (77.965) Epoch: [48][6150/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.8066 (2.0362) Prec@1 48.125 (47.517) Prec@5 81.875 (77.966) Epoch: [48][6160/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0216 (2.0362) Prec@1 53.750 (47.518) Prec@5 78.125 (77.967) Epoch: [48][6170/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 1.9842 (2.0362) Prec@1 41.875 (47.519) Prec@5 80.000 (77.969) Epoch: [48][6180/11272] Time 0.880 (0.786) Data 0.002 (0.002) Loss 1.9548 (2.0362) Prec@1 50.625 (47.518) Prec@5 79.375 (77.966) Epoch: [48][6190/11272] Time 0.753 (0.786) Data 0.001 (0.002) Loss 1.9645 (2.0363) Prec@1 46.875 (47.518) Prec@5 85.625 (77.968) Epoch: [48][6200/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0792 (2.0362) Prec@1 43.750 (47.518) Prec@5 76.875 (77.967) Epoch: [48][6210/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.2119 (2.0363) Prec@1 44.375 (47.518) Prec@5 75.625 (77.967) Epoch: [48][6220/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9967 (2.0362) Prec@1 49.375 (47.521) Prec@5 78.750 (77.967) Epoch: [48][6230/11272] Time 0.707 (0.786) Data 0.002 (0.002) Loss 2.1394 (2.0362) Prec@1 48.750 (47.521) Prec@5 78.125 (77.967) Epoch: [48][6240/11272] Time 0.749 (0.786) Data 0.001 (0.002) Loss 2.0839 (2.0362) Prec@1 47.500 (47.522) Prec@5 78.125 (77.970) Epoch: [48][6250/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 2.1988 (2.0362) Prec@1 39.375 (47.522) Prec@5 75.000 (77.969) Epoch: [48][6260/11272] Time 0.727 (0.786) Data 0.003 (0.002) Loss 1.7498 (2.0362) Prec@1 53.750 (47.520) Prec@5 81.875 (77.969) Epoch: [48][6270/11272] Time 0.768 (0.786) Data 0.002 (0.002) Loss 2.1076 (2.0363) Prec@1 43.125 (47.518) Prec@5 75.625 (77.968) Epoch: [48][6280/11272] Time 0.863 (0.786) Data 0.001 (0.002) Loss 1.9779 (2.0363) Prec@1 48.125 (47.519) Prec@5 82.500 (77.969) Epoch: [48][6290/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.1920 (2.0364) Prec@1 46.250 (47.517) Prec@5 75.625 (77.969) Epoch: [48][6300/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.1184 (2.0364) Prec@1 45.000 (47.517) Prec@5 76.250 (77.969) Epoch: [48][6310/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 2.1572 (2.0365) Prec@1 47.500 (47.517) Prec@5 77.500 (77.968) Epoch: [48][6320/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.1559 (2.0365) Prec@1 44.375 (47.517) Prec@5 74.375 (77.968) Epoch: [48][6330/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 1.9855 (2.0365) Prec@1 48.125 (47.518) Prec@5 78.750 (77.969) Epoch: [48][6340/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.8097 (2.0365) Prec@1 51.250 (47.516) Prec@5 78.750 (77.968) Epoch: [48][6350/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 2.1583 (2.0365) Prec@1 46.875 (47.519) Prec@5 75.625 (77.967) Epoch: [48][6360/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.1035 (2.0366) Prec@1 44.375 (47.515) Prec@5 73.750 (77.965) Epoch: [48][6370/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 2.0590 (2.0366) Prec@1 47.500 (47.516) Prec@5 79.375 (77.964) Epoch: [48][6380/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.9501 (2.0366) Prec@1 45.000 (47.518) Prec@5 78.125 (77.963) Epoch: [48][6390/11272] Time 0.910 (0.786) Data 0.002 (0.002) Loss 1.9431 (2.0367) Prec@1 48.125 (47.517) Prec@5 80.625 (77.963) Epoch: [48][6400/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.9808 (2.0367) Prec@1 50.000 (47.518) Prec@5 77.500 (77.960) Epoch: [48][6410/11272] Time 0.754 (0.786) Data 0.002 (0.002) Loss 2.2117 (2.0366) Prec@1 43.750 (47.519) Prec@5 78.750 (77.963) Epoch: [48][6420/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 2.0953 (2.0365) Prec@1 45.000 (47.522) Prec@5 79.375 (77.963) Epoch: [48][6430/11272] Time 0.881 (0.786) Data 0.001 (0.002) Loss 2.0639 (2.0365) Prec@1 43.125 (47.524) Prec@5 76.250 (77.964) Epoch: [48][6440/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 2.0377 (2.0365) Prec@1 48.125 (47.523) Prec@5 76.875 (77.963) Epoch: [48][6450/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9327 (2.0365) Prec@1 49.375 (47.523) Prec@5 76.250 (77.962) Epoch: [48][6460/11272] Time 0.791 (0.787) Data 0.002 (0.002) Loss 1.8914 (2.0366) Prec@1 50.625 (47.524) Prec@5 80.625 (77.961) Epoch: [48][6470/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 1.8240 (2.0365) Prec@1 51.875 (47.524) Prec@5 81.875 (77.961) Epoch: [48][6480/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.0969 (2.0366) Prec@1 51.250 (47.526) Prec@5 75.625 (77.961) Epoch: [48][6490/11272] Time 0.768 (0.787) Data 0.001 (0.002) Loss 1.9446 (2.0366) Prec@1 53.125 (47.526) Prec@5 78.750 (77.961) Epoch: [48][6500/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.1631 (2.0366) Prec@1 46.250 (47.525) Prec@5 74.375 (77.960) Epoch: [48][6510/11272] Time 0.850 (0.787) Data 0.001 (0.002) Loss 2.1368 (2.0366) Prec@1 43.750 (47.524) Prec@5 73.125 (77.957) Epoch: [48][6520/11272] Time 0.734 (0.787) Data 0.003 (0.002) Loss 1.7721 (2.0367) Prec@1 53.125 (47.523) Prec@5 80.000 (77.955) Epoch: [48][6530/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9815 (2.0367) Prec@1 49.375 (47.522) Prec@5 78.750 (77.954) Epoch: [48][6540/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.0847 (2.0367) Prec@1 45.625 (47.522) Prec@5 78.750 (77.955) Epoch: [48][6550/11272] Time 0.826 (0.787) Data 0.002 (0.002) Loss 1.9548 (2.0367) Prec@1 45.000 (47.519) Prec@5 78.750 (77.955) Epoch: [48][6560/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 2.0207 (2.0367) Prec@1 54.375 (47.519) Prec@5 75.625 (77.957) Epoch: [48][6570/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1941 (2.0367) Prec@1 41.875 (47.518) Prec@5 75.000 (77.956) Epoch: [48][6580/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 2.1254 (2.0368) Prec@1 43.125 (47.517) Prec@5 80.000 (77.956) Epoch: [48][6590/11272] Time 0.873 (0.787) Data 0.001 (0.002) Loss 1.9222 (2.0369) Prec@1 51.250 (47.516) Prec@5 77.500 (77.955) Epoch: [48][6600/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.1324 (2.0370) Prec@1 47.500 (47.515) Prec@5 73.750 (77.954) Epoch: [48][6610/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 2.0423 (2.0370) Prec@1 49.375 (47.515) Prec@5 80.000 (77.954) Epoch: [48][6620/11272] Time 0.864 (0.787) Data 0.001 (0.002) Loss 1.6875 (2.0369) Prec@1 51.250 (47.516) Prec@5 84.375 (77.953) Epoch: [48][6630/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 2.5602 (2.0370) Prec@1 41.875 (47.519) Prec@5 70.625 (77.953) Epoch: [48][6640/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.0307 (2.0370) Prec@1 46.875 (47.518) Prec@5 78.750 (77.951) Epoch: [48][6650/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.0949 (2.0369) Prec@1 44.375 (47.520) Prec@5 76.875 (77.951) Epoch: [48][6660/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.1959 (2.0370) Prec@1 48.125 (47.517) Prec@5 73.125 (77.949) Epoch: [48][6670/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.9817 (2.0370) Prec@1 47.500 (47.518) Prec@5 79.375 (77.948) Epoch: [48][6680/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 2.0744 (2.0371) Prec@1 47.500 (47.514) Prec@5 73.750 (77.945) Epoch: [48][6690/11272] Time 0.957 (0.787) Data 0.002 (0.002) Loss 2.1557 (2.0372) Prec@1 48.750 (47.512) Prec@5 76.250 (77.943) Epoch: [48][6700/11272] Time 0.875 (0.787) Data 0.002 (0.002) Loss 1.8427 (2.0372) Prec@1 52.500 (47.510) Prec@5 81.250 (77.943) Epoch: [48][6710/11272] Time 0.733 (0.787) Data 0.002 (0.002) Loss 1.9065 (2.0372) Prec@1 54.375 (47.512) Prec@5 76.875 (77.942) Epoch: [48][6720/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 1.9231 (2.0371) Prec@1 53.750 (47.514) Prec@5 79.375 (77.942) Epoch: [48][6730/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 2.1597 (2.0372) Prec@1 43.125 (47.515) Prec@5 76.250 (77.940) Epoch: [48][6740/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 2.0038 (2.0372) Prec@1 50.625 (47.515) Prec@5 74.375 (77.938) Epoch: [48][6750/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.9940 (2.0372) Prec@1 48.125 (47.514) Prec@5 79.375 (77.937) Epoch: [48][6760/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 2.0103 (2.0372) Prec@1 51.250 (47.516) Prec@5 78.750 (77.936) Epoch: [48][6770/11272] Time 0.810 (0.787) Data 0.001 (0.002) Loss 2.1716 (2.0371) Prec@1 46.250 (47.517) Prec@5 76.875 (77.938) Epoch: [48][6780/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.9718 (2.0371) Prec@1 46.875 (47.518) Prec@5 81.250 (77.938) Epoch: [48][6790/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.0735 (2.0371) Prec@1 45.000 (47.518) Prec@5 78.750 (77.939) Epoch: [48][6800/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 2.1345 (2.0372) Prec@1 49.375 (47.517) Prec@5 75.625 (77.939) Epoch: [48][6810/11272] Time 0.876 (0.787) Data 0.002 (0.002) Loss 2.1366 (2.0373) Prec@1 47.500 (47.514) Prec@5 74.375 (77.939) Epoch: [48][6820/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0239 (2.0373) Prec@1 48.750 (47.515) Prec@5 77.500 (77.939) Epoch: [48][6830/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 2.2785 (2.0373) Prec@1 38.750 (47.512) Prec@5 72.500 (77.939) Epoch: [48][6840/11272] Time 0.877 (0.787) Data 0.001 (0.002) Loss 1.9170 (2.0373) Prec@1 47.500 (47.514) Prec@5 83.125 (77.940) Epoch: [48][6850/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.9838 (2.0373) Prec@1 47.500 (47.512) Prec@5 78.750 (77.940) Epoch: [48][6860/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 2.0632 (2.0373) Prec@1 45.625 (47.510) Prec@5 77.500 (77.941) Epoch: [48][6870/11272] Time 0.742 (0.787) Data 0.002 (0.002) Loss 2.0558 (2.0375) Prec@1 51.875 (47.506) Prec@5 78.750 (77.941) Epoch: [48][6880/11272] Time 0.817 (0.787) Data 0.002 (0.002) Loss 2.3632 (2.0376) Prec@1 46.875 (47.504) Prec@5 75.000 (77.939) Epoch: [48][6890/11272] Time 0.891 (0.787) Data 0.001 (0.002) Loss 1.8913 (2.0376) Prec@1 46.875 (47.502) Prec@5 82.500 (77.938) Epoch: [48][6900/11272] Time 0.750 (0.787) Data 0.002 (0.002) Loss 1.9914 (2.0377) Prec@1 47.500 (47.499) Prec@5 82.500 (77.938) Epoch: [48][6910/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.3340 (2.0378) Prec@1 41.250 (47.498) Prec@5 68.750 (77.937) Epoch: [48][6920/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 1.9462 (2.0378) Prec@1 50.625 (47.495) Prec@5 76.875 (77.937) Epoch: [48][6930/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 2.1463 (2.0378) Prec@1 44.375 (47.495) Prec@5 76.875 (77.936) Epoch: [48][6940/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0370 (2.0379) Prec@1 46.875 (47.493) Prec@5 81.875 (77.936) Epoch: [48][6950/11272] Time 0.901 (0.787) Data 0.001 (0.002) Loss 2.0726 (2.0380) Prec@1 44.375 (47.491) Prec@5 80.000 (77.934) Epoch: [48][6960/11272] Time 0.879 (0.787) Data 0.001 (0.002) Loss 2.0055 (2.0379) Prec@1 49.375 (47.494) Prec@5 80.625 (77.938) Epoch: [48][6970/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.7899 (2.0379) Prec@1 51.250 (47.494) Prec@5 83.125 (77.939) Epoch: [48][6980/11272] Time 0.758 (0.787) Data 0.002 (0.002) Loss 1.9488 (2.0379) Prec@1 46.250 (47.494) Prec@5 81.250 (77.939) Epoch: [48][6990/11272] Time 0.846 (0.788) Data 0.001 (0.002) Loss 2.0436 (2.0379) Prec@1 48.750 (47.494) Prec@5 77.500 (77.939) Epoch: [48][7000/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 2.2407 (2.0381) Prec@1 36.250 (47.490) Prec@5 73.750 (77.936) Epoch: [48][7010/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 2.1476 (2.0381) Prec@1 45.000 (47.488) Prec@5 74.375 (77.937) Epoch: [48][7020/11272] Time 0.739 (0.788) Data 0.002 (0.002) Loss 2.4153 (2.0382) Prec@1 39.375 (47.484) Prec@5 70.625 (77.935) Epoch: [48][7030/11272] Time 0.847 (0.788) Data 0.002 (0.002) Loss 2.2466 (2.0383) Prec@1 40.625 (47.480) Prec@5 75.625 (77.934) Epoch: [48][7040/11272] Time 0.847 (0.788) Data 0.002 (0.002) Loss 1.9124 (2.0384) Prec@1 54.375 (47.479) Prec@5 80.000 (77.936) Epoch: [48][7050/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 2.0711 (2.0385) Prec@1 48.125 (47.478) Prec@5 80.625 (77.933) Epoch: [48][7060/11272] Time 0.871 (0.788) Data 0.001 (0.002) Loss 1.9796 (2.0386) Prec@1 45.000 (47.474) Prec@5 78.750 (77.929) Epoch: [48][7070/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 1.9081 (2.0386) Prec@1 50.625 (47.476) Prec@5 78.750 (77.930) Epoch: [48][7080/11272] Time 0.758 (0.788) Data 0.002 (0.002) Loss 2.1168 (2.0387) Prec@1 46.875 (47.474) Prec@5 76.875 (77.931) Epoch: [48][7090/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 1.6345 (2.0386) Prec@1 60.625 (47.476) Prec@5 86.875 (77.933) Epoch: [48][7100/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 2.3261 (2.0386) Prec@1 45.000 (47.479) Prec@5 71.875 (77.931) Epoch: [48][7110/11272] Time 0.838 (0.788) Data 0.002 (0.002) Loss 2.1289 (2.0387) Prec@1 45.625 (47.480) Prec@5 75.000 (77.931) Epoch: [48][7120/11272] Time 0.748 (0.788) Data 0.001 (0.002) Loss 2.1972 (2.0387) Prec@1 40.625 (47.478) Prec@5 75.625 (77.931) Epoch: [48][7130/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 2.0204 (2.0387) Prec@1 48.125 (47.478) Prec@5 78.125 (77.931) Epoch: [48][7140/11272] Time 0.876 (0.788) Data 0.002 (0.002) Loss 2.1464 (2.0388) Prec@1 41.875 (47.477) Prec@5 72.500 (77.928) Epoch: [48][7150/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 2.1454 (2.0388) Prec@1 41.875 (47.476) Prec@5 76.875 (77.929) Epoch: [48][7160/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.8751 (2.0388) Prec@1 46.875 (47.475) Prec@5 80.625 (77.929) Epoch: [48][7170/11272] Time 0.739 (0.788) Data 0.001 (0.002) Loss 1.9651 (2.0389) Prec@1 48.125 (47.474) Prec@5 80.000 (77.928) Epoch: [48][7180/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 2.3778 (2.0390) Prec@1 36.875 (47.470) Prec@5 72.500 (77.928) Epoch: [48][7190/11272] Time 0.730 (0.788) Data 0.003 (0.002) Loss 1.7473 (2.0390) Prec@1 50.625 (47.470) Prec@5 81.250 (77.929) Epoch: [48][7200/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 1.9792 (2.0388) Prec@1 46.875 (47.474) Prec@5 81.250 (77.933) Epoch: [48][7210/11272] Time 0.895 (0.788) Data 0.001 (0.002) Loss 2.3127 (2.0388) Prec@1 41.250 (47.473) Prec@5 70.625 (77.933) Epoch: [48][7220/11272] Time 0.891 (0.788) Data 0.002 (0.002) Loss 2.2767 (2.0389) Prec@1 46.250 (47.473) Prec@5 73.125 (77.932) Epoch: [48][7230/11272] Time 0.751 (0.788) Data 0.001 (0.002) Loss 2.2319 (2.0390) Prec@1 48.750 (47.471) Prec@5 74.375 (77.930) Epoch: [48][7240/11272] Time 0.747 (0.788) Data 0.003 (0.002) Loss 2.1235 (2.0390) Prec@1 46.875 (47.471) Prec@5 76.250 (77.930) Epoch: [48][7250/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 2.0027 (2.0389) Prec@1 43.750 (47.472) Prec@5 81.250 (77.933) Epoch: [48][7260/11272] Time 0.871 (0.788) Data 0.002 (0.002) Loss 1.9487 (2.0389) Prec@1 47.500 (47.473) Prec@5 82.500 (77.934) Epoch: [48][7270/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.1124 (2.0388) Prec@1 47.500 (47.474) Prec@5 75.000 (77.934) Epoch: [48][7280/11272] Time 0.777 (0.788) Data 0.001 (0.002) Loss 1.8034 (2.0388) Prec@1 58.125 (47.476) Prec@5 83.125 (77.936) Epoch: [48][7290/11272] Time 0.843 (0.788) Data 0.001 (0.002) Loss 1.8954 (2.0388) Prec@1 46.875 (47.475) Prec@5 80.000 (77.936) Epoch: [48][7300/11272] Time 0.856 (0.788) Data 0.001 (0.002) Loss 2.1720 (2.0388) Prec@1 46.250 (47.475) Prec@5 76.250 (77.935) Epoch: [48][7310/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 2.0278 (2.0388) Prec@1 45.625 (47.476) Prec@5 78.125 (77.935) Epoch: [48][7320/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 2.1585 (2.0389) Prec@1 51.250 (47.476) Prec@5 78.125 (77.934) Epoch: [48][7330/11272] Time 0.854 (0.788) Data 0.001 (0.002) Loss 2.1121 (2.0389) Prec@1 44.375 (47.476) Prec@5 74.375 (77.934) Epoch: [48][7340/11272] Time 0.752 (0.788) Data 0.002 (0.002) Loss 2.0000 (2.0389) Prec@1 48.125 (47.474) Prec@5 78.125 (77.933) Epoch: [48][7350/11272] Time 0.757 (0.788) Data 0.001 (0.002) Loss 1.9648 (2.0389) Prec@1 52.500 (47.474) Prec@5 76.875 (77.933) Epoch: [48][7360/11272] Time 0.865 (0.788) Data 0.002 (0.002) Loss 2.2269 (2.0389) Prec@1 45.625 (47.475) Prec@5 75.000 (77.933) Epoch: [48][7370/11272] Time 0.874 (0.788) Data 0.002 (0.002) Loss 1.9445 (2.0390) Prec@1 53.750 (47.473) Prec@5 77.500 (77.931) Epoch: [48][7380/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.8874 (2.0390) Prec@1 55.625 (47.474) Prec@5 78.125 (77.931) Epoch: [48][7390/11272] Time 0.744 (0.788) Data 0.001 (0.002) Loss 1.9005 (2.0390) Prec@1 51.875 (47.474) Prec@5 80.000 (77.930) Epoch: [48][7400/11272] Time 0.864 (0.788) Data 0.001 (0.002) Loss 2.1411 (2.0391) Prec@1 44.375 (47.472) Prec@5 76.250 (77.929) Epoch: [48][7410/11272] Time 0.905 (0.788) Data 0.002 (0.002) Loss 2.3502 (2.0393) Prec@1 42.500 (47.468) Prec@5 71.250 (77.925) Epoch: [48][7420/11272] Time 0.734 (0.788) Data 0.001 (0.002) Loss 2.0770 (2.0393) Prec@1 45.000 (47.469) Prec@5 80.000 (77.925) Epoch: [48][7430/11272] Time 0.732 (0.788) Data 0.002 (0.002) Loss 2.2050 (2.0393) Prec@1 44.375 (47.467) Prec@5 78.750 (77.926) Epoch: [48][7440/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 1.7189 (2.0393) Prec@1 53.750 (47.469) Prec@5 83.125 (77.928) Epoch: [48][7450/11272] Time 0.750 (0.788) Data 0.004 (0.002) Loss 1.8959 (2.0393) Prec@1 53.750 (47.469) Prec@5 80.625 (77.927) Epoch: [48][7460/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.1654 (2.0394) Prec@1 49.375 (47.470) Prec@5 76.250 (77.926) Epoch: [48][7470/11272] Time 0.841 (0.788) Data 0.001 (0.002) Loss 2.0721 (2.0394) Prec@1 46.250 (47.470) Prec@5 76.250 (77.927) Epoch: [48][7480/11272] Time 0.889 (0.788) Data 0.002 (0.002) Loss 1.9484 (2.0393) Prec@1 45.000 (47.470) Prec@5 78.750 (77.928) Epoch: [48][7490/11272] Time 0.737 (0.788) Data 0.001 (0.002) Loss 1.9635 (2.0393) Prec@1 45.625 (47.470) Prec@5 80.625 (77.929) Epoch: [48][7500/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.0238 (2.0394) Prec@1 46.250 (47.469) Prec@5 78.125 (77.927) Epoch: [48][7510/11272] Time 0.901 (0.788) Data 0.001 (0.002) Loss 2.0351 (2.0394) Prec@1 49.375 (47.467) Prec@5 78.750 (77.926) Epoch: [48][7520/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 2.1523 (2.0394) Prec@1 45.000 (47.467) Prec@5 75.625 (77.925) Epoch: [48][7530/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 2.0524 (2.0394) Prec@1 42.500 (47.467) Prec@5 77.500 (77.926) Epoch: [48][7540/11272] Time 0.770 (0.788) Data 0.002 (0.002) Loss 1.9942 (2.0394) Prec@1 48.125 (47.467) Prec@5 82.500 (77.926) Epoch: [48][7550/11272] Time 0.899 (0.788) Data 0.002 (0.002) Loss 2.0948 (2.0395) Prec@1 48.125 (47.465) Prec@5 74.375 (77.925) Epoch: [48][7560/11272] Time 0.868 (0.788) Data 0.002 (0.002) Loss 2.0735 (2.0395) Prec@1 50.000 (47.465) Prec@5 73.750 (77.925) Epoch: [48][7570/11272] Time 0.724 (0.788) Data 0.002 (0.002) Loss 1.9944 (2.0395) Prec@1 47.500 (47.464) Prec@5 80.000 (77.926) Epoch: [48][7580/11272] Time 0.852 (0.788) Data 0.002 (0.002) Loss 2.1702 (2.0395) Prec@1 45.000 (47.462) Prec@5 75.625 (77.927) Epoch: [48][7590/11272] Time 0.869 (0.788) Data 0.001 (0.002) Loss 1.9977 (2.0394) Prec@1 48.125 (47.462) Prec@5 78.125 (77.928) Epoch: [48][7600/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 2.0982 (2.0395) Prec@1 46.250 (47.462) Prec@5 75.625 (77.927) Epoch: [48][7610/11272] Time 0.748 (0.788) Data 0.002 (0.002) Loss 1.9383 (2.0395) Prec@1 47.500 (47.460) Prec@5 80.000 (77.926) Epoch: [48][7620/11272] Time 0.864 (0.788) Data 0.001 (0.002) Loss 1.9964 (2.0395) Prec@1 50.625 (47.459) Prec@5 78.125 (77.926) Epoch: [48][7630/11272] Time 0.869 (0.788) Data 0.002 (0.002) Loss 2.0347 (2.0395) Prec@1 46.875 (47.456) Prec@5 74.375 (77.925) Epoch: [48][7640/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 2.2044 (2.0395) Prec@1 44.375 (47.457) Prec@5 76.250 (77.924) Epoch: [48][7650/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.8322 (2.0394) Prec@1 48.750 (47.459) Prec@5 81.875 (77.925) Epoch: [48][7660/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 2.1724 (2.0396) Prec@1 48.125 (47.456) Prec@5 77.500 (77.923) Epoch: [48][7670/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 2.2693 (2.0397) Prec@1 43.125 (47.454) Prec@5 76.875 (77.923) Epoch: [48][7680/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.9877 (2.0397) Prec@1 46.250 (47.454) Prec@5 79.375 (77.924) Epoch: [48][7690/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.6766 (2.0396) Prec@1 55.000 (47.455) Prec@5 82.500 (77.927) Epoch: [48][7700/11272] Time 0.870 (0.789) Data 0.001 (0.002) Loss 2.2667 (2.0397) Prec@1 38.125 (47.451) Prec@5 71.875 (77.924) Epoch: [48][7710/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.9468 (2.0397) Prec@1 53.125 (47.452) Prec@5 78.125 (77.923) Epoch: [48][7720/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 2.2651 (2.0399) Prec@1 41.250 (47.448) Prec@5 73.125 (77.919) Epoch: [48][7730/11272] Time 0.890 (0.789) Data 0.002 (0.002) Loss 2.0997 (2.0399) Prec@1 43.125 (47.449) Prec@5 79.375 (77.918) Epoch: [48][7740/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.9748 (2.0399) Prec@1 46.250 (47.447) Prec@5 81.250 (77.918) Epoch: [48][7750/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.8118 (2.0400) Prec@1 55.000 (47.447) Prec@5 82.500 (77.917) Epoch: [48][7760/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.8826 (2.0399) Prec@1 51.250 (47.450) Prec@5 80.000 (77.917) Epoch: [48][7770/11272] Time 0.859 (0.789) Data 0.002 (0.002) Loss 2.3099 (2.0401) Prec@1 37.500 (47.446) Prec@5 75.000 (77.914) Epoch: [48][7780/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.9968 (2.0401) Prec@1 46.875 (47.445) Prec@5 80.625 (77.915) Epoch: [48][7790/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 2.0010 (2.0401) Prec@1 46.250 (47.444) Prec@5 80.000 (77.916) Epoch: [48][7800/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 2.1539 (2.0402) Prec@1 42.500 (47.442) Prec@5 75.000 (77.914) Epoch: [48][7810/11272] Time 0.806 (0.789) Data 0.001 (0.002) Loss 2.2455 (2.0402) Prec@1 42.500 (47.442) Prec@5 71.250 (77.915) Epoch: [48][7820/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 2.1811 (2.0402) Prec@1 43.125 (47.441) Prec@5 76.250 (77.916) Epoch: [48][7830/11272] Time 0.744 (0.789) Data 0.001 (0.002) Loss 2.1159 (2.0401) Prec@1 50.625 (47.444) Prec@5 77.500 (77.916) Epoch: [48][7840/11272] Time 0.767 (0.789) Data 0.002 (0.002) Loss 1.8677 (2.0401) Prec@1 50.000 (47.442) Prec@5 78.750 (77.916) Epoch: [48][7850/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.8990 (2.0401) Prec@1 48.750 (47.442) Prec@5 80.000 (77.915) Epoch: [48][7860/11272] Time 0.745 (0.789) Data 0.001 (0.002) Loss 1.7389 (2.0402) Prec@1 55.625 (47.441) Prec@5 83.750 (77.915) Epoch: [48][7870/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 2.2669 (2.0402) Prec@1 43.750 (47.441) Prec@5 75.000 (77.915) Epoch: [48][7880/11272] Time 0.900 (0.789) Data 0.002 (0.002) Loss 1.9858 (2.0402) Prec@1 50.625 (47.442) Prec@5 80.625 (77.915) Epoch: [48][7890/11272] Time 0.861 (0.789) Data 0.002 (0.002) Loss 2.1038 (2.0402) Prec@1 46.250 (47.441) Prec@5 77.500 (77.915) Epoch: [48][7900/11272] Time 0.741 (0.789) Data 0.002 (0.002) Loss 2.0489 (2.0403) Prec@1 46.875 (47.440) Prec@5 79.375 (77.914) Epoch: [48][7910/11272] Time 0.767 (0.789) Data 0.001 (0.002) Loss 1.9705 (2.0403) Prec@1 43.750 (47.438) Prec@5 73.750 (77.913) Epoch: [48][7920/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 2.1589 (2.0404) Prec@1 45.625 (47.437) Prec@5 73.125 (77.913) Epoch: [48][7930/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 1.8129 (2.0403) Prec@1 53.750 (47.441) Prec@5 84.375 (77.914) Epoch: [48][7940/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 2.0781 (2.0403) Prec@1 50.000 (47.440) Prec@5 76.250 (77.912) Epoch: [48][7950/11272] Time 0.710 (0.789) Data 0.001 (0.002) Loss 1.8841 (2.0404) Prec@1 46.875 (47.439) Prec@5 78.125 (77.910) Epoch: [48][7960/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.9347 (2.0403) Prec@1 45.000 (47.440) Prec@5 78.125 (77.912) Epoch: [48][7970/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 2.0313 (2.0404) Prec@1 50.625 (47.437) Prec@5 78.750 (77.911) Epoch: [48][7980/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 2.1136 (2.0404) Prec@1 45.625 (47.435) Prec@5 77.500 (77.911) Epoch: [48][7990/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 2.1786 (2.0404) Prec@1 47.500 (47.436) Prec@5 75.625 (77.912) Epoch: [48][8000/11272] Time 0.915 (0.789) Data 0.001 (0.002) Loss 2.0216 (2.0405) Prec@1 44.375 (47.434) Prec@5 78.125 (77.910) Epoch: [48][8010/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.9911 (2.0405) Prec@1 45.625 (47.433) Prec@5 81.875 (77.910) Epoch: [48][8020/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 2.0293 (2.0405) Prec@1 46.250 (47.431) Prec@5 83.125 (77.910) Epoch: [48][8030/11272] Time 0.872 (0.789) Data 0.001 (0.002) Loss 1.8903 (2.0405) Prec@1 52.500 (47.432) Prec@5 81.250 (77.911) Epoch: [48][8040/11272] Time 0.862 (0.789) Data 0.001 (0.002) Loss 2.2225 (2.0406) Prec@1 41.875 (47.430) Prec@5 73.750 (77.909) Epoch: [48][8050/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 2.1506 (2.0406) Prec@1 46.875 (47.430) Prec@5 76.250 (77.909) Epoch: [48][8060/11272] Time 0.761 (0.789) Data 0.002 (0.002) Loss 1.9926 (2.0406) Prec@1 48.750 (47.434) Prec@5 76.875 (77.910) Epoch: [48][8070/11272] Time 0.882 (0.789) Data 0.001 (0.002) Loss 2.1385 (2.0405) Prec@1 46.875 (47.435) Prec@5 76.875 (77.911) Epoch: [48][8080/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 2.2123 (2.0406) Prec@1 45.000 (47.432) Prec@5 73.125 (77.910) Epoch: [48][8090/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.7794 (2.0407) Prec@1 53.125 (47.431) Prec@5 80.000 (77.907) Epoch: [48][8100/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.9031 (2.0406) Prec@1 50.625 (47.430) Prec@5 80.625 (77.910) Epoch: [48][8110/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.7952 (2.0405) Prec@1 50.625 (47.433) Prec@5 83.750 (77.912) Epoch: [48][8120/11272] Time 0.750 (0.789) Data 0.003 (0.002) Loss 2.1169 (2.0405) Prec@1 41.250 (47.431) Prec@5 75.625 (77.912) Epoch: [48][8130/11272] Time 0.749 (0.789) Data 0.002 (0.002) Loss 2.2370 (2.0406) Prec@1 45.000 (47.430) Prec@5 74.375 (77.912) Epoch: [48][8140/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.7789 (2.0405) Prec@1 53.750 (47.430) Prec@5 85.625 (77.911) Epoch: [48][8150/11272] Time 0.871 (0.789) Data 0.002 (0.002) Loss 1.9054 (2.0406) Prec@1 50.625 (47.429) Prec@5 80.625 (77.910) Epoch: [48][8160/11272] Time 0.744 (0.789) Data 0.002 (0.002) Loss 1.9751 (2.0406) Prec@1 50.000 (47.428) Prec@5 76.875 (77.909) Epoch: [48][8170/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 2.1114 (2.0407) Prec@1 46.250 (47.426) Prec@5 77.500 (77.908) Epoch: [48][8180/11272] Time 0.866 (0.789) Data 0.001 (0.002) Loss 2.2265 (2.0408) Prec@1 45.000 (47.426) Prec@5 73.750 (77.906) Epoch: [48][8190/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 2.0238 (2.0407) Prec@1 46.250 (47.429) Prec@5 81.250 (77.907) Epoch: [48][8200/11272] Time 0.741 (0.789) Data 0.002 (0.002) Loss 2.1615 (2.0407) Prec@1 46.875 (47.429) Prec@5 78.750 (77.908) Epoch: [48][8210/11272] Time 0.749 (0.789) Data 0.001 (0.002) Loss 2.1569 (2.0408) Prec@1 41.250 (47.427) Prec@5 75.625 (77.905) Epoch: [48][8220/11272] Time 0.875 (0.789) Data 0.002 (0.002) Loss 2.1725 (2.0409) Prec@1 48.125 (47.424) Prec@5 75.000 (77.904) Epoch: [48][8230/11272] Time 0.878 (0.789) Data 0.002 (0.002) Loss 1.9815 (2.0408) Prec@1 48.750 (47.424) Prec@5 78.125 (77.904) Epoch: [48][8240/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.8308 (2.0409) Prec@1 51.250 (47.423) Prec@5 80.000 (77.904) Epoch: [48][8250/11272] Time 0.879 (0.789) Data 0.002 (0.002) Loss 2.0966 (2.0410) Prec@1 48.125 (47.422) Prec@5 78.125 (77.902) Epoch: [48][8260/11272] Time 0.880 (0.789) Data 0.001 (0.002) Loss 2.0984 (2.0411) Prec@1 50.625 (47.420) Prec@5 76.875 (77.902) Epoch: [48][8270/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 2.0780 (2.0412) Prec@1 50.000 (47.419) Prec@5 75.625 (77.901) Epoch: [48][8280/11272] Time 0.746 (0.789) Data 0.001 (0.002) Loss 1.9322 (2.0411) Prec@1 45.000 (47.419) Prec@5 85.000 (77.903) Epoch: [48][8290/11272] Time 0.867 (0.789) Data 0.001 (0.002) Loss 2.1475 (2.0411) Prec@1 45.625 (47.419) Prec@5 77.500 (77.904) Epoch: [48][8300/11272] Time 0.861 (0.789) Data 0.002 (0.002) Loss 2.1071 (2.0412) Prec@1 43.750 (47.419) Prec@5 78.125 (77.903) Epoch: [48][8310/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 2.1147 (2.0413) Prec@1 41.875 (47.417) Prec@5 75.625 (77.902) Epoch: [48][8320/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.8707 (2.0412) Prec@1 57.500 (47.418) Prec@5 79.375 (77.904) Epoch: [48][8330/11272] Time 0.865 (0.789) Data 0.002 (0.002) Loss 2.0346 (2.0413) Prec@1 45.625 (47.416) Prec@5 80.000 (77.905) Epoch: [48][8340/11272] Time 0.885 (0.789) Data 0.001 (0.002) Loss 1.9479 (2.0412) Prec@1 50.000 (47.417) Prec@5 80.000 (77.905) Epoch: [48][8350/11272] Time 0.755 (0.789) Data 0.001 (0.002) Loss 1.9279 (2.0413) Prec@1 52.500 (47.416) Prec@5 80.000 (77.906) Epoch: [48][8360/11272] Time 0.751 (0.789) Data 0.003 (0.002) Loss 1.9345 (2.0411) Prec@1 50.000 (47.418) Prec@5 77.500 (77.908) Epoch: [48][8370/11272] Time 0.879 (0.789) Data 0.002 (0.002) Loss 2.1683 (2.0412) Prec@1 47.500 (47.417) Prec@5 73.125 (77.908) Epoch: [48][8380/11272] Time 0.730 (0.789) Data 0.004 (0.002) Loss 2.0381 (2.0411) Prec@1 48.750 (47.419) Prec@5 82.500 (77.908) Epoch: [48][8390/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 2.4220 (2.0412) Prec@1 40.000 (47.416) Prec@5 76.250 (77.907) Epoch: [48][8400/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.9611 (2.0412) Prec@1 51.875 (47.418) Prec@5 79.375 (77.906) Epoch: [48][8410/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 2.1500 (2.0411) Prec@1 41.875 (47.418) Prec@5 75.000 (77.908) Epoch: [48][8420/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.8867 (2.0411) Prec@1 53.750 (47.419) Prec@5 83.125 (77.907) Epoch: [48][8430/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 2.1707 (2.0411) Prec@1 44.375 (47.417) Prec@5 77.500 (77.908) Epoch: [48][8440/11272] Time 0.878 (0.789) Data 0.001 (0.002) Loss 1.7972 (2.0411) Prec@1 53.125 (47.419) Prec@5 82.500 (77.908) Epoch: [48][8450/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 2.0832 (2.0411) Prec@1 46.875 (47.420) Prec@5 75.000 (77.908) Epoch: [48][8460/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 2.0756 (2.0411) Prec@1 43.750 (47.420) Prec@5 78.750 (77.909) Epoch: [48][8470/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 2.0889 (2.0412) Prec@1 43.125 (47.420) Prec@5 80.000 (77.909) Epoch: [48][8480/11272] Time 0.887 (0.789) Data 0.001 (0.002) Loss 2.1684 (2.0412) Prec@1 41.875 (47.415) Prec@5 74.375 (77.907) Epoch: [48][8490/11272] Time 0.889 (0.789) Data 0.002 (0.002) Loss 1.9439 (2.0412) Prec@1 45.000 (47.418) Prec@5 79.375 (77.908) Epoch: [48][8500/11272] Time 0.747 (0.789) Data 0.002 (0.002) Loss 2.0421 (2.0412) Prec@1 45.000 (47.418) Prec@5 81.875 (77.908) Epoch: [48][8510/11272] Time 0.881 (0.790) Data 0.001 (0.002) Loss 2.1862 (2.0413) Prec@1 46.875 (47.416) Prec@5 75.000 (77.907) Epoch: [48][8520/11272] Time 0.823 (0.790) Data 0.003 (0.002) Loss 2.1455 (2.0413) Prec@1 47.500 (47.415) Prec@5 73.750 (77.908) Epoch: [48][8530/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 2.1039 (2.0413) Prec@1 51.250 (47.416) Prec@5 80.000 (77.909) Epoch: [48][8540/11272] Time 0.748 (0.790) Data 0.002 (0.002) Loss 1.9936 (2.0412) Prec@1 49.375 (47.415) Prec@5 79.375 (77.910) Epoch: [48][8550/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.8277 (2.0412) Prec@1 51.875 (47.417) Prec@5 85.000 (77.912) Epoch: [48][8560/11272] Time 0.854 (0.790) Data 0.002 (0.002) Loss 2.1005 (2.0412) Prec@1 43.750 (47.418) Prec@5 76.250 (77.912) Epoch: [48][8570/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.9480 (2.0412) Prec@1 51.250 (47.417) Prec@5 81.875 (77.911) Epoch: [48][8580/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 2.1202 (2.0413) Prec@1 50.000 (47.419) Prec@5 75.000 (77.911) Epoch: [48][8590/11272] Time 0.870 (0.790) Data 0.001 (0.002) Loss 2.1759 (2.0413) Prec@1 50.000 (47.417) Prec@5 76.875 (77.910) Epoch: [48][8600/11272] Time 0.789 (0.790) Data 0.001 (0.002) Loss 1.8941 (2.0413) Prec@1 53.750 (47.418) Prec@5 81.250 (77.911) Epoch: [48][8610/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 2.1603 (2.0413) Prec@1 45.000 (47.418) Prec@5 78.750 (77.912) Epoch: [48][8620/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 1.8710 (2.0412) Prec@1 53.125 (47.420) Prec@5 79.375 (77.913) Epoch: [48][8630/11272] Time 0.889 (0.790) Data 0.002 (0.002) Loss 2.3173 (2.0412) Prec@1 41.875 (47.420) Prec@5 68.125 (77.913) Epoch: [48][8640/11272] Time 0.811 (0.790) Data 0.001 (0.002) Loss 2.2127 (2.0412) Prec@1 45.000 (47.420) Prec@5 77.500 (77.912) Epoch: [48][8650/11272] Time 0.752 (0.790) Data 0.002 (0.002) Loss 1.9620 (2.0412) Prec@1 55.000 (47.422) Prec@5 81.250 (77.913) Epoch: [48][8660/11272] Time 0.876 (0.790) Data 0.001 (0.002) Loss 2.1480 (2.0413) Prec@1 49.375 (47.421) Prec@5 76.250 (77.911) Epoch: [48][8670/11272] Time 0.849 (0.790) Data 0.001 (0.002) Loss 2.0844 (2.0412) Prec@1 46.250 (47.421) Prec@5 78.750 (77.911) Epoch: [48][8680/11272] Time 0.737 (0.790) Data 0.001 (0.002) Loss 2.1436 (2.0412) Prec@1 41.875 (47.420) Prec@5 76.250 (77.911) Epoch: [48][8690/11272] Time 0.735 (0.790) Data 0.001 (0.002) Loss 2.3470 (2.0413) Prec@1 38.750 (47.417) Prec@5 73.125 (77.910) Epoch: [48][8700/11272] Time 0.865 (0.790) Data 0.002 (0.002) Loss 1.8173 (2.0412) Prec@1 48.750 (47.421) Prec@5 79.375 (77.912) Epoch: [48][8710/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.8320 (2.0413) Prec@1 56.875 (47.420) Prec@5 78.750 (77.912) Epoch: [48][8720/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 2.0118 (2.0413) Prec@1 49.375 (47.419) Prec@5 78.750 (77.911) Epoch: [48][8730/11272] Time 0.765 (0.790) Data 0.001 (0.002) Loss 2.0993 (2.0412) Prec@1 47.500 (47.420) Prec@5 79.375 (77.911) Epoch: [48][8740/11272] Time 0.860 (0.790) Data 0.001 (0.002) Loss 2.0415 (2.0412) Prec@1 50.000 (47.420) Prec@5 76.250 (77.910) Epoch: [48][8750/11272] Time 0.845 (0.790) Data 0.002 (0.002) Loss 1.7341 (2.0412) Prec@1 55.000 (47.422) Prec@5 83.750 (77.911) Epoch: [48][8760/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 2.1826 (2.0413) Prec@1 48.125 (47.421) Prec@5 74.375 (77.909) Epoch: [48][8770/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.6367 (2.0412) Prec@1 53.750 (47.423) Prec@5 86.250 (77.912) Epoch: [48][8780/11272] Time 0.863 (0.790) Data 0.001 (0.002) Loss 2.2390 (2.0412) Prec@1 40.000 (47.423) Prec@5 71.875 (77.912) Epoch: [48][8790/11272] Time 0.776 (0.790) Data 0.001 (0.002) Loss 2.1720 (2.0412) Prec@1 46.250 (47.423) Prec@5 76.875 (77.911) Epoch: [48][8800/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 2.1431 (2.0412) Prec@1 45.625 (47.422) Prec@5 75.000 (77.910) Epoch: [48][8810/11272] Time 0.870 (0.790) Data 0.002 (0.002) Loss 1.9544 (2.0411) Prec@1 50.000 (47.423) Prec@5 80.625 (77.912) Epoch: [48][8820/11272] Time 0.862 (0.790) Data 0.002 (0.002) Loss 2.0544 (2.0411) Prec@1 49.375 (47.422) Prec@5 78.125 (77.912) Epoch: [48][8830/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 2.0338 (2.0411) Prec@1 45.625 (47.422) Prec@5 78.125 (77.913) Epoch: [48][8840/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 2.0771 (2.0410) Prec@1 41.250 (47.424) Prec@5 78.125 (77.915) Epoch: [48][8850/11272] Time 0.863 (0.790) Data 0.002 (0.002) Loss 2.0979 (2.0411) Prec@1 45.000 (47.421) Prec@5 78.750 (77.915) Epoch: [48][8860/11272] Time 0.851 (0.790) Data 0.001 (0.002) Loss 1.9139 (2.0411) Prec@1 48.750 (47.420) Prec@5 78.750 (77.914) Epoch: [48][8870/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.9161 (2.0411) Prec@1 55.625 (47.421) Prec@5 78.750 (77.913) Epoch: [48][8880/11272] Time 0.741 (0.790) Data 0.001 (0.002) Loss 1.9769 (2.0410) Prec@1 44.375 (47.422) Prec@5 81.875 (77.916) Epoch: [48][8890/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 2.2185 (2.0412) Prec@1 44.375 (47.418) Prec@5 75.000 (77.913) Epoch: [48][8900/11272] Time 0.850 (0.790) Data 0.002 (0.002) Loss 1.9546 (2.0412) Prec@1 48.750 (47.416) Prec@5 80.000 (77.913) Epoch: [48][8910/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 2.0486 (2.0412) Prec@1 46.250 (47.417) Prec@5 79.375 (77.913) Epoch: [48][8920/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 2.1613 (2.0413) Prec@1 45.625 (47.414) Prec@5 75.625 (77.912) Epoch: [48][8930/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.9203 (2.0413) Prec@1 51.250 (47.414) Prec@5 81.250 (77.912) Epoch: [48][8940/11272] Time 0.740 (0.790) Data 0.001 (0.002) Loss 2.2024 (2.0413) Prec@1 38.125 (47.413) Prec@5 75.000 (77.912) Epoch: [48][8950/11272] Time 0.743 (0.790) Data 0.002 (0.002) Loss 2.1638 (2.0412) Prec@1 38.125 (47.413) Prec@5 78.125 (77.913) Epoch: [48][8960/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 2.0390 (2.0412) Prec@1 41.250 (47.412) Prec@5 80.000 (77.912) Epoch: [48][8970/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 2.2199 (2.0412) Prec@1 46.875 (47.413) Prec@5 76.875 (77.913) Epoch: [48][8980/11272] Time 0.721 (0.790) Data 0.001 (0.002) Loss 2.0652 (2.0413) Prec@1 45.000 (47.411) Prec@5 76.875 (77.913) Epoch: [48][8990/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 2.2489 (2.0414) Prec@1 44.375 (47.409) Prec@5 71.875 (77.912) Epoch: [48][9000/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.9334 (2.0413) Prec@1 50.000 (47.410) Prec@5 81.250 (77.914) Epoch: [48][9010/11272] Time 0.809 (0.790) Data 0.001 (0.002) Loss 2.1257 (2.0412) Prec@1 46.250 (47.410) Prec@5 76.875 (77.916) Epoch: [48][9020/11272] Time 0.771 (0.790) Data 0.001 (0.002) Loss 2.1466 (2.0413) Prec@1 39.375 (47.408) Prec@5 74.375 (77.915) Epoch: [48][9030/11272] Time 0.772 (0.790) Data 0.002 (0.002) Loss 1.9171 (2.0412) Prec@1 43.125 (47.411) Prec@5 83.750 (77.917) Epoch: [48][9040/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 2.0391 (2.0412) Prec@1 49.375 (47.410) Prec@5 75.625 (77.917) Epoch: [48][9050/11272] Time 0.737 (0.790) Data 0.003 (0.002) Loss 1.9904 (2.0411) Prec@1 50.000 (47.410) Prec@5 78.125 (77.918) Epoch: [48][9060/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 2.1348 (2.0412) Prec@1 40.625 (47.407) Prec@5 75.000 (77.915) Epoch: [48][9070/11272] Time 0.867 (0.790) Data 0.001 (0.002) Loss 2.2084 (2.0413) Prec@1 44.375 (47.407) Prec@5 73.750 (77.914) Epoch: [48][9080/11272] Time 0.859 (0.790) Data 0.001 (0.002) Loss 2.1227 (2.0413) Prec@1 50.625 (47.406) Prec@5 74.375 (77.914) Epoch: [48][9090/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.7574 (2.0413) Prec@1 56.250 (47.408) Prec@5 83.125 (77.915) Epoch: [48][9100/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 2.2297 (2.0413) Prec@1 38.750 (47.406) Prec@5 76.250 (77.913) Epoch: [48][9110/11272] Time 0.854 (0.790) Data 0.002 (0.002) Loss 2.0255 (2.0414) Prec@1 42.500 (47.404) Prec@5 80.625 (77.914) Epoch: [48][9120/11272] Time 0.894 (0.790) Data 0.002 (0.002) Loss 1.9864 (2.0414) Prec@1 46.875 (47.404) Prec@5 75.000 (77.913) Epoch: [48][9130/11272] Time 0.765 (0.790) Data 0.002 (0.002) Loss 1.9394 (2.0414) Prec@1 48.750 (47.404) Prec@5 83.125 (77.914) Epoch: [48][9140/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 1.8947 (2.0413) Prec@1 50.000 (47.405) Prec@5 80.625 (77.915) Epoch: [48][9150/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.9257 (2.0413) Prec@1 51.250 (47.407) Prec@5 75.000 (77.915) Epoch: [48][9160/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 2.1644 (2.0414) Prec@1 50.000 (47.406) Prec@5 72.500 (77.914) Epoch: [48][9170/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 2.1863 (2.0414) Prec@1 41.250 (47.406) Prec@5 77.500 (77.914) Epoch: [48][9180/11272] Time 0.866 (0.790) Data 0.001 (0.002) Loss 2.1942 (2.0413) Prec@1 41.875 (47.407) Prec@5 79.375 (77.916) Epoch: [48][9190/11272] Time 0.891 (0.790) Data 0.002 (0.002) Loss 2.1598 (2.0413) Prec@1 47.500 (47.408) Prec@5 79.375 (77.915) Epoch: [48][9200/11272] Time 0.749 (0.790) Data 0.002 (0.002) Loss 1.8919 (2.0413) Prec@1 46.250 (47.407) Prec@5 81.250 (77.917) Epoch: [48][9210/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 2.2532 (2.0414) Prec@1 40.000 (47.406) Prec@5 78.125 (77.917) Epoch: [48][9220/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.9719 (2.0414) Prec@1 46.250 (47.404) Prec@5 80.000 (77.917) Epoch: [48][9230/11272] Time 0.859 (0.790) Data 0.001 (0.002) Loss 1.9148 (2.0414) Prec@1 51.875 (47.403) Prec@5 79.375 (77.916) Epoch: [48][9240/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.8169 (2.0414) Prec@1 49.375 (47.403) Prec@5 84.375 (77.918) Epoch: [48][9250/11272] Time 0.759 (0.790) Data 0.004 (0.002) Loss 1.9567 (2.0414) Prec@1 50.000 (47.402) Prec@5 80.000 (77.918) Epoch: [48][9260/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.9223 (2.0414) Prec@1 50.000 (47.403) Prec@5 78.750 (77.917) Epoch: [48][9270/11272] Time 0.845 (0.790) Data 0.001 (0.002) Loss 1.9901 (2.0414) Prec@1 51.875 (47.406) Prec@5 77.500 (77.917) Epoch: [48][9280/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 2.1214 (2.0414) Prec@1 48.750 (47.405) Prec@5 75.000 (77.916) Epoch: [48][9290/11272] Time 0.739 (0.790) Data 0.002 (0.002) Loss 2.1247 (2.0414) Prec@1 48.750 (47.407) Prec@5 77.500 (77.918) Epoch: [48][9300/11272] Time 0.876 (0.790) Data 0.002 (0.002) Loss 2.0439 (2.0414) Prec@1 48.125 (47.408) Prec@5 80.000 (77.917) Epoch: [48][9310/11272] Time 0.729 (0.790) Data 0.003 (0.002) Loss 2.2033 (2.0414) Prec@1 50.000 (47.407) Prec@5 76.875 (77.917) Epoch: [48][9320/11272] Time 0.767 (0.790) Data 0.002 (0.002) Loss 2.1238 (2.0415) Prec@1 42.500 (47.406) Prec@5 79.375 (77.916) Epoch: [48][9330/11272] Time 0.804 (0.790) Data 0.001 (0.002) Loss 1.9922 (2.0415) Prec@1 48.125 (47.406) Prec@5 79.375 (77.917) Epoch: [48][9340/11272] Time 0.818 (0.790) Data 0.001 (0.002) Loss 2.1472 (2.0416) Prec@1 44.375 (47.403) Prec@5 74.375 (77.915) Epoch: [48][9350/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 2.2129 (2.0415) Prec@1 43.750 (47.403) Prec@5 72.500 (77.915) Epoch: [48][9360/11272] Time 0.737 (0.790) Data 0.002 (0.002) Loss 2.1027 (2.0415) Prec@1 47.500 (47.403) Prec@5 78.750 (77.917) Epoch: [48][9370/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.9467 (2.0416) Prec@1 54.375 (47.403) Prec@5 78.750 (77.916) Epoch: [48][9380/11272] Time 0.842 (0.790) Data 0.001 (0.002) Loss 1.8282 (2.0416) Prec@1 53.125 (47.402) Prec@5 81.250 (77.915) Epoch: [48][9390/11272] Time 0.757 (0.790) Data 0.002 (0.002) Loss 1.9585 (2.0416) Prec@1 43.125 (47.402) Prec@5 80.625 (77.916) Epoch: [48][9400/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.8629 (2.0415) Prec@1 53.125 (47.403) Prec@5 81.250 (77.917) Epoch: [48][9410/11272] Time 0.877 (0.790) Data 0.002 (0.002) Loss 2.0880 (2.0416) Prec@1 45.000 (47.400) Prec@5 75.000 (77.915) Epoch: [48][9420/11272] Time 0.848 (0.790) Data 0.001 (0.002) Loss 2.1377 (2.0416) Prec@1 42.500 (47.399) Prec@5 75.625 (77.915) Epoch: [48][9430/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.7661 (2.0416) Prec@1 50.625 (47.399) Prec@5 82.500 (77.916) Epoch: [48][9440/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 2.0188 (2.0415) Prec@1 47.500 (47.401) Prec@5 79.375 (77.916) Epoch: [48][9450/11272] Time 0.878 (0.790) Data 0.002 (0.002) Loss 2.0487 (2.0416) Prec@1 48.750 (47.399) Prec@5 76.875 (77.915) Epoch: [48][9460/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 2.1890 (2.0417) Prec@1 43.750 (47.398) Prec@5 73.750 (77.914) Epoch: [48][9470/11272] Time 0.750 (0.790) Data 0.001 (0.002) Loss 1.9496 (2.0416) Prec@1 51.250 (47.399) Prec@5 78.125 (77.913) Epoch: [48][9480/11272] Time 0.862 (0.790) Data 0.003 (0.002) Loss 2.1549 (2.0416) Prec@1 46.875 (47.397) Prec@5 79.375 (77.914) Epoch: [48][9490/11272] Time 0.846 (0.790) Data 0.001 (0.002) Loss 2.1241 (2.0416) Prec@1 43.125 (47.396) Prec@5 78.125 (77.914) Epoch: [48][9500/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 1.9148 (2.0416) Prec@1 50.000 (47.394) Prec@5 79.375 (77.914) Epoch: [48][9510/11272] Time 0.727 (0.790) Data 0.002 (0.002) Loss 2.2453 (2.0417) Prec@1 45.625 (47.393) Prec@5 73.750 (77.913) Epoch: [48][9520/11272] Time 0.859 (0.790) Data 0.002 (0.002) Loss 2.1337 (2.0418) Prec@1 47.500 (47.391) Prec@5 78.125 (77.912) Epoch: [48][9530/11272] Time 0.898 (0.790) Data 0.001 (0.002) Loss 2.2851 (2.0418) Prec@1 43.125 (47.388) Prec@5 73.750 (77.911) Epoch: [48][9540/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 1.9262 (2.0419) Prec@1 49.375 (47.387) Prec@5 77.500 (77.911) Epoch: [48][9550/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 2.1941 (2.0419) Prec@1 47.500 (47.387) Prec@5 75.000 (77.909) Epoch: [48][9560/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 2.2663 (2.0419) Prec@1 41.875 (47.386) Prec@5 77.500 (77.909) Epoch: [48][9570/11272] Time 0.889 (0.790) Data 0.001 (0.002) Loss 2.2247 (2.0420) Prec@1 45.000 (47.384) Prec@5 75.000 (77.909) Epoch: [48][9580/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 2.0483 (2.0420) Prec@1 44.375 (47.384) Prec@5 78.125 (77.911) Epoch: [48][9590/11272] Time 0.893 (0.790) Data 0.001 (0.002) Loss 2.0925 (2.0420) Prec@1 46.875 (47.384) Prec@5 75.625 (77.910) Epoch: [48][9600/11272] Time 0.872 (0.790) Data 0.002 (0.002) Loss 2.0394 (2.0420) Prec@1 48.125 (47.383) Prec@5 76.875 (77.911) Epoch: [48][9610/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 2.0986 (2.0421) Prec@1 47.500 (47.381) Prec@5 76.875 (77.910) Epoch: [48][9620/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.9237 (2.0421) Prec@1 46.250 (47.382) Prec@5 76.875 (77.910) Epoch: [48][9630/11272] Time 0.902 (0.790) Data 0.002 (0.002) Loss 1.8973 (2.0420) Prec@1 49.375 (47.383) Prec@5 77.500 (77.911) Epoch: [48][9640/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 2.2276 (2.0421) Prec@1 39.375 (47.380) Prec@5 75.625 (77.910) Epoch: [48][9650/11272] Time 0.736 (0.790) Data 0.002 (0.002) Loss 2.1718 (2.0420) Prec@1 46.875 (47.384) Prec@5 76.875 (77.910) Epoch: [48][9660/11272] Time 0.763 (0.791) Data 0.002 (0.002) Loss 2.1595 (2.0419) Prec@1 46.250 (47.384) Prec@5 75.625 (77.911) Epoch: [48][9670/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 1.7967 (2.0419) Prec@1 51.875 (47.385) Prec@5 84.375 (77.911) Epoch: [48][9680/11272] Time 0.822 (0.791) Data 0.002 (0.002) Loss 1.9998 (2.0420) Prec@1 49.375 (47.384) Prec@5 73.750 (77.910) Epoch: [48][9690/11272] Time 0.753 (0.791) Data 0.002 (0.002) Loss 2.0526 (2.0420) Prec@1 46.250 (47.386) Prec@5 77.500 (77.908) Epoch: [48][9700/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 2.4352 (2.0421) Prec@1 35.625 (47.383) Prec@5 67.500 (77.906) Epoch: [48][9710/11272] Time 0.934 (0.791) Data 0.002 (0.002) Loss 1.9386 (2.0421) Prec@1 51.250 (47.382) Prec@5 77.500 (77.905) Epoch: [48][9720/11272] Time 0.718 (0.791) Data 0.001 (0.002) Loss 1.6888 (2.0421) Prec@1 52.500 (47.382) Prec@5 81.250 (77.905) Epoch: [48][9730/11272] Time 0.755 (0.791) Data 0.002 (0.002) Loss 2.1969 (2.0422) Prec@1 45.625 (47.380) Prec@5 76.250 (77.904) Epoch: [48][9740/11272] Time 0.849 (0.791) Data 0.001 (0.002) Loss 1.9991 (2.0421) Prec@1 49.375 (47.381) Prec@5 76.875 (77.905) Epoch: [48][9750/11272] Time 0.831 (0.791) Data 0.002 (0.002) Loss 2.1414 (2.0421) Prec@1 44.375 (47.381) Prec@5 73.750 (77.905) Epoch: [48][9760/11272] Time 0.739 (0.791) Data 0.001 (0.002) Loss 2.0702 (2.0421) Prec@1 45.625 (47.381) Prec@5 78.125 (77.905) Epoch: [48][9770/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 1.9359 (2.0420) Prec@1 50.000 (47.382) Prec@5 80.625 (77.905) Epoch: [48][9780/11272] Time 0.846 (0.791) Data 0.001 (0.002) Loss 1.8024 (2.0420) Prec@1 56.875 (47.383) Prec@5 80.625 (77.906) Epoch: [48][9790/11272] Time 0.819 (0.791) Data 0.002 (0.002) Loss 1.9297 (2.0421) Prec@1 50.625 (47.383) Prec@5 80.625 (77.905) Epoch: [48][9800/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 1.9919 (2.0420) Prec@1 48.125 (47.384) Prec@5 79.375 (77.905) Epoch: [48][9810/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.0790 (2.0421) Prec@1 46.250 (47.383) Prec@5 76.250 (77.904) Epoch: [48][9820/11272] Time 0.837 (0.791) Data 0.001 (0.002) Loss 2.0880 (2.0421) Prec@1 40.000 (47.382) Prec@5 78.750 (77.904) Epoch: [48][9830/11272] Time 0.849 (0.791) Data 0.002 (0.002) Loss 1.8847 (2.0421) Prec@1 51.250 (47.383) Prec@5 78.750 (77.902) Epoch: [48][9840/11272] Time 0.747 (0.791) Data 0.001 (0.002) Loss 1.9810 (2.0421) Prec@1 53.125 (47.383) Prec@5 78.750 (77.903) Epoch: [48][9850/11272] Time 0.867 (0.791) Data 0.002 (0.002) Loss 2.1601 (2.0421) Prec@1 37.500 (47.384) Prec@5 75.625 (77.903) Epoch: [48][9860/11272] Time 0.862 (0.791) Data 0.002 (0.002) Loss 1.9605 (2.0420) Prec@1 51.875 (47.385) Prec@5 82.500 (77.904) Epoch: [48][9870/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 1.7709 (2.0420) Prec@1 53.750 (47.386) Prec@5 80.625 (77.906) Epoch: [48][9880/11272] Time 0.724 (0.791) Data 0.001 (0.002) Loss 1.8701 (2.0420) Prec@1 58.750 (47.387) Prec@5 76.875 (77.905) Epoch: [48][9890/11272] Time 0.862 (0.791) Data 0.001 (0.002) Loss 2.2574 (2.0421) Prec@1 43.750 (47.386) Prec@5 71.250 (77.904) Epoch: [48][9900/11272] Time 0.848 (0.791) Data 0.002 (0.002) Loss 2.1361 (2.0422) Prec@1 41.250 (47.386) Prec@5 79.375 (77.903) Epoch: [48][9910/11272] Time 0.768 (0.791) Data 0.001 (0.002) Loss 2.1887 (2.0422) Prec@1 40.625 (47.385) Prec@5 77.500 (77.903) Epoch: [48][9920/11272] Time 0.738 (0.791) Data 0.002 (0.002) Loss 1.8795 (2.0421) Prec@1 51.250 (47.387) Prec@5 80.625 (77.905) Epoch: [48][9930/11272] Time 0.871 (0.791) Data 0.001 (0.002) Loss 2.1053 (2.0421) Prec@1 43.125 (47.387) Prec@5 75.625 (77.905) Epoch: [48][9940/11272] Time 0.858 (0.791) Data 0.001 (0.002) Loss 2.3607 (2.0421) Prec@1 44.375 (47.387) Prec@5 74.375 (77.905) Epoch: [48][9950/11272] Time 0.752 (0.791) Data 0.002 (0.002) Loss 2.0110 (2.0421) Prec@1 48.750 (47.388) Prec@5 78.750 (77.906) Epoch: [48][9960/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.1115 (2.0422) Prec@1 46.875 (47.387) Prec@5 78.125 (77.904) Epoch: [48][9970/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 1.9962 (2.0422) Prec@1 46.250 (47.388) Prec@5 80.000 (77.904) Epoch: [48][9980/11272] Time 0.728 (0.791) Data 0.003 (0.002) Loss 1.7389 (2.0421) Prec@1 55.000 (47.389) Prec@5 84.375 (77.905) Epoch: [48][9990/11272] Time 0.746 (0.791) Data 0.002 (0.002) Loss 2.3071 (2.0422) Prec@1 43.125 (47.388) Prec@5 75.625 (77.905) Epoch: [48][10000/11272] Time 0.850 (0.791) Data 0.001 (0.002) Loss 1.9418 (2.0422) Prec@1 53.750 (47.389) Prec@5 83.750 (77.906) Epoch: [48][10010/11272] Time 0.852 (0.791) Data 0.001 (0.002) Loss 1.9527 (2.0422) Prec@1 49.375 (47.390) Prec@5 79.375 (77.907) Epoch: [48][10020/11272] Time 0.740 (0.791) Data 0.002 (0.002) Loss 2.1614 (2.0422) Prec@1 45.000 (47.391) Prec@5 73.750 (77.906) Epoch: [48][10030/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 2.1944 (2.0422) Prec@1 42.500 (47.390) Prec@5 74.375 (77.905) Epoch: [48][10040/11272] Time 0.840 (0.791) Data 0.002 (0.002) Loss 2.3266 (2.0423) Prec@1 40.000 (47.386) Prec@5 73.750 (77.906) Epoch: [48][10050/11272] Time 0.866 (0.791) Data 0.002 (0.002) Loss 1.8738 (2.0422) Prec@1 47.500 (47.386) Prec@5 78.750 (77.906) Epoch: [48][10060/11272] Time 0.745 (0.791) Data 0.002 (0.002) Loss 1.8631 (2.0423) Prec@1 51.250 (47.386) Prec@5 81.875 (77.905) Epoch: [48][10070/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 2.2267 (2.0423) Prec@1 43.750 (47.386) Prec@5 70.625 (77.905) Epoch: [48][10080/11272] Time 0.872 (0.791) Data 0.001 (0.002) Loss 1.7537 (2.0423) Prec@1 61.250 (47.387) Prec@5 82.500 (77.904) Epoch: [48][10090/11272] Time 0.838 (0.791) Data 0.001 (0.002) Loss 2.3547 (2.0423) Prec@1 42.500 (47.388) Prec@5 70.625 (77.903) Epoch: [48][10100/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 1.9394 (2.0423) Prec@1 50.625 (47.389) Prec@5 81.250 (77.904) Epoch: [48][10110/11272] Time 0.814 (0.791) Data 0.001 (0.002) Loss 1.9666 (2.0422) Prec@1 46.875 (47.389) Prec@5 78.750 (77.904) Epoch: [48][10120/11272] Time 0.860 (0.791) Data 0.001 (0.002) Loss 2.1468 (2.0423) Prec@1 45.000 (47.388) Prec@5 78.750 (77.905) Epoch: [48][10130/11272] Time 0.737 (0.791) Data 0.001 (0.002) Loss 2.1957 (2.0423) Prec@1 46.875 (47.388) Prec@5 74.375 (77.906) Epoch: [48][10140/11272] Time 0.743 (0.791) Data 0.002 (0.002) Loss 2.1960 (2.0423) Prec@1 44.375 (47.389) Prec@5 77.500 (77.904) Epoch: [48][10150/11272] Time 0.838 (0.791) Data 0.001 (0.002) Loss 2.0487 (2.0423) Prec@1 41.875 (47.388) Prec@5 75.625 (77.904) Epoch: [48][10160/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 1.9209 (2.0422) Prec@1 48.750 (47.389) Prec@5 76.875 (77.904) Epoch: [48][10170/11272] Time 0.762 (0.791) Data 0.002 (0.002) Loss 2.3458 (2.0423) Prec@1 41.250 (47.389) Prec@5 72.500 (77.903) Epoch: [48][10180/11272] Time 0.758 (0.791) Data 0.002 (0.002) Loss 2.2974 (2.0423) Prec@1 36.875 (47.388) Prec@5 73.750 (77.905) Epoch: [48][10190/11272] Time 0.880 (0.791) Data 0.001 (0.002) Loss 1.7993 (2.0423) Prec@1 55.000 (47.389) Prec@5 80.000 (77.905) Epoch: [48][10200/11272] Time 0.831 (0.791) Data 0.001 (0.002) Loss 2.0537 (2.0423) Prec@1 45.000 (47.388) Prec@5 80.625 (77.904) Epoch: [48][10210/11272] Time 0.753 (0.791) Data 0.002 (0.002) Loss 1.9679 (2.0423) Prec@1 50.625 (47.388) Prec@5 80.625 (77.904) Epoch: [48][10220/11272] Time 0.734 (0.791) Data 0.002 (0.002) Loss 1.9176 (2.0423) Prec@1 44.375 (47.387) Prec@5 80.000 (77.903) Epoch: [48][10230/11272] Time 0.885 (0.791) Data 0.001 (0.002) Loss 2.2202 (2.0424) Prec@1 46.875 (47.386) Prec@5 76.250 (77.902) Epoch: [48][10240/11272] Time 0.724 (0.791) Data 0.003 (0.002) Loss 2.0227 (2.0424) Prec@1 50.000 (47.386) Prec@5 79.375 (77.902) Epoch: [48][10250/11272] Time 0.738 (0.791) Data 0.001 (0.002) Loss 2.1937 (2.0423) Prec@1 43.750 (47.387) Prec@5 75.625 (77.903) Epoch: [48][10260/11272] Time 0.862 (0.791) Data 0.001 (0.002) Loss 2.0115 (2.0424) Prec@1 47.500 (47.385) Prec@5 76.875 (77.903) Epoch: [48][10270/11272] Time 0.863 (0.791) Data 0.002 (0.002) Loss 1.6645 (2.0424) Prec@1 53.125 (47.385) Prec@5 83.125 (77.903) Epoch: [48][10280/11272] Time 0.718 (0.791) Data 0.001 (0.002) Loss 2.1968 (2.0425) Prec@1 42.500 (47.382) Prec@5 76.875 (77.900) Epoch: [48][10290/11272] Time 0.758 (0.791) Data 0.001 (0.002) Loss 2.2130 (2.0426) Prec@1 46.250 (47.382) Prec@5 71.875 (77.898) Epoch: [48][10300/11272] Time 0.846 (0.791) Data 0.002 (0.002) Loss 1.8031 (2.0426) Prec@1 55.000 (47.381) Prec@5 81.875 (77.898) Epoch: [48][10310/11272] Time 0.850 (0.791) Data 0.002 (0.002) Loss 2.0383 (2.0426) Prec@1 45.625 (47.380) Prec@5 76.250 (77.897) Epoch: [48][10320/11272] Time 0.750 (0.791) Data 0.002 (0.002) Loss 2.2698 (2.0427) Prec@1 43.125 (47.378) Prec@5 71.875 (77.896) Epoch: [48][10330/11272] Time 0.744 (0.791) Data 0.001 (0.002) Loss 2.0823 (2.0427) Prec@1 46.250 (47.378) Prec@5 76.875 (77.895) Epoch: [48][10340/11272] Time 0.836 (0.791) Data 0.001 (0.002) Loss 1.8215 (2.0427) Prec@1 49.375 (47.379) Prec@5 82.500 (77.896) Epoch: [48][10350/11272] Time 0.848 (0.791) Data 0.002 (0.002) Loss 2.1206 (2.0427) Prec@1 46.250 (47.379) Prec@5 76.250 (77.896) Epoch: [48][10360/11272] Time 0.731 (0.791) Data 0.002 (0.002) Loss 2.2832 (2.0427) Prec@1 43.125 (47.380) Prec@5 75.625 (77.896) Epoch: [48][10370/11272] Time 0.835 (0.791) Data 0.001 (0.002) Loss 1.8893 (2.0427) Prec@1 46.875 (47.378) Prec@5 81.250 (77.895) Epoch: [48][10380/11272] Time 0.873 (0.791) Data 0.002 (0.002) Loss 1.9042 (2.0427) Prec@1 50.000 (47.378) Prec@5 83.125 (77.896) Epoch: [48][10390/11272] Time 0.750 (0.791) Data 0.001 (0.002) Loss 2.0218 (2.0427) Prec@1 44.375 (47.377) Prec@5 76.250 (77.895) Epoch: [48][10400/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 1.9245 (2.0427) Prec@1 48.125 (47.378) Prec@5 82.500 (77.896) Epoch: [48][10410/11272] Time 0.825 (0.791) Data 0.001 (0.002) Loss 2.2695 (2.0427) Prec@1 43.125 (47.378) Prec@5 70.000 (77.895) Epoch: [48][10420/11272] Time 0.828 (0.791) Data 0.001 (0.002) Loss 2.3820 (2.0427) Prec@1 43.125 (47.376) Prec@5 76.875 (77.895) Epoch: [48][10430/11272] Time 0.740 (0.791) Data 0.001 (0.002) Loss 2.0275 (2.0427) Prec@1 49.375 (47.375) Prec@5 76.875 (77.895) Epoch: [48][10440/11272] Time 0.705 (0.791) Data 0.001 (0.002) Loss 1.9312 (2.0427) Prec@1 50.000 (47.376) Prec@5 78.750 (77.896) Epoch: [48][10450/11272] Time 0.865 (0.791) Data 0.002 (0.002) Loss 2.1073 (2.0427) Prec@1 44.375 (47.376) Prec@5 84.375 (77.896) Epoch: [48][10460/11272] Time 0.803 (0.791) Data 0.001 (0.002) Loss 2.2820 (2.0428) Prec@1 43.125 (47.374) Prec@5 75.625 (77.894) Epoch: [48][10470/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 2.1145 (2.0428) Prec@1 43.125 (47.372) Prec@5 78.125 (77.894) Epoch: [48][10480/11272] Time 0.737 (0.791) Data 0.002 (0.002) Loss 1.9196 (2.0429) Prec@1 50.000 (47.370) Prec@5 78.125 (77.892) Epoch: [48][10490/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 2.0434 (2.0429) Prec@1 43.125 (47.370) Prec@5 77.500 (77.893) Epoch: [48][10500/11272] Time 0.828 (0.791) Data 0.002 (0.002) Loss 2.1635 (2.0429) Prec@1 44.375 (47.370) Prec@5 76.875 (77.892) Epoch: [48][10510/11272] Time 0.754 (0.791) Data 0.002 (0.002) Loss 2.2167 (2.0430) Prec@1 45.625 (47.371) Prec@5 74.375 (77.890) Epoch: [48][10520/11272] Time 0.874 (0.791) Data 0.001 (0.002) Loss 1.8674 (2.0429) Prec@1 52.500 (47.372) Prec@5 80.625 (77.892) Epoch: [48][10530/11272] Time 0.875 (0.791) Data 0.002 (0.002) Loss 2.0246 (2.0429) Prec@1 48.125 (47.374) Prec@5 79.375 (77.892) Epoch: [48][10540/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 2.1800 (2.0429) Prec@1 44.375 (47.373) Prec@5 77.500 (77.893) Epoch: [48][10550/11272] Time 0.776 (0.791) Data 0.001 (0.002) Loss 2.1246 (2.0429) Prec@1 50.625 (47.373) Prec@5 75.000 (77.893) Epoch: [48][10560/11272] Time 0.853 (0.791) Data 0.001 (0.002) Loss 2.1993 (2.0429) Prec@1 46.875 (47.374) Prec@5 71.875 (77.892) Epoch: [48][10570/11272] Time 0.825 (0.791) Data 0.001 (0.002) Loss 1.9967 (2.0428) Prec@1 47.500 (47.374) Prec@5 78.750 (77.892) Epoch: [48][10580/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 2.0690 (2.0428) Prec@1 46.250 (47.374) Prec@5 79.375 (77.894) Epoch: [48][10590/11272] Time 0.751 (0.791) Data 0.002 (0.002) Loss 2.1273 (2.0428) Prec@1 40.000 (47.373) Prec@5 75.625 (77.892) Epoch: [48][10600/11272] Time 0.911 (0.791) Data 0.002 (0.002) Loss 2.0094 (2.0428) Prec@1 48.750 (47.373) Prec@5 79.375 (77.892) Epoch: [48][10610/11272] Time 0.846 (0.791) Data 0.001 (0.002) Loss 1.9270 (2.0429) Prec@1 46.250 (47.373) Prec@5 83.750 (77.891) Epoch: [48][10620/11272] Time 0.741 (0.791) Data 0.001 (0.002) Loss 1.9345 (2.0428) Prec@1 50.625 (47.375) Prec@5 80.000 (77.892) Epoch: [48][10630/11272] Time 0.733 (0.791) Data 0.001 (0.002) Loss 1.8940 (2.0428) Prec@1 50.000 (47.374) Prec@5 81.875 (77.892) Epoch: [48][10640/11272] Time 0.856 (0.791) Data 0.001 (0.002) Loss 2.0675 (2.0428) Prec@1 48.750 (47.375) Prec@5 76.250 (77.891) Epoch: [48][10650/11272] Time 0.726 (0.791) Data 0.001 (0.002) Loss 1.9614 (2.0428) Prec@1 53.750 (47.375) Prec@5 80.625 (77.892) Epoch: [48][10660/11272] Time 0.714 (0.791) Data 0.001 (0.002) Loss 2.1261 (2.0428) Prec@1 41.875 (47.376) Prec@5 74.375 (77.892) Epoch: [48][10670/11272] Time 0.881 (0.791) Data 0.002 (0.002) Loss 2.0044 (2.0428) Prec@1 48.750 (47.375) Prec@5 80.625 (77.891) Epoch: [48][10680/11272] Time 0.858 (0.791) Data 0.001 (0.002) Loss 2.2064 (2.0429) Prec@1 43.125 (47.373) Prec@5 76.250 (77.890) Epoch: [48][10690/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 2.1271 (2.0429) Prec@1 45.625 (47.372) Prec@5 74.375 (77.890) Epoch: [48][10700/11272] Time 0.727 (0.791) Data 0.002 (0.002) Loss 1.8365 (2.0429) Prec@1 51.875 (47.372) Prec@5 80.000 (77.890) Epoch: [48][10710/11272] Time 0.852 (0.791) Data 0.002 (0.002) Loss 2.3303 (2.0430) Prec@1 43.125 (47.371) Prec@5 73.125 (77.889) Epoch: [48][10720/11272] Time 0.836 (0.791) Data 0.002 (0.002) Loss 2.2551 (2.0430) Prec@1 38.125 (47.371) Prec@5 73.125 (77.889) Epoch: [48][10730/11272] Time 0.747 (0.791) Data 0.002 (0.002) Loss 1.9934 (2.0430) Prec@1 54.375 (47.371) Prec@5 75.000 (77.888) Epoch: [48][10740/11272] Time 0.731 (0.791) Data 0.001 (0.002) Loss 2.0623 (2.0430) Prec@1 46.875 (47.373) Prec@5 78.750 (77.888) Epoch: [48][10750/11272] Time 0.848 (0.791) Data 0.001 (0.002) Loss 1.8141 (2.0430) Prec@1 52.500 (47.372) Prec@5 78.750 (77.888) Epoch: [48][10760/11272] Time 0.845 (0.791) Data 0.001 (0.002) Loss 2.1696 (2.0430) Prec@1 43.750 (47.371) Prec@5 76.250 (77.887) Epoch: [48][10770/11272] Time 0.769 (0.791) Data 0.002 (0.002) Loss 1.8937 (2.0431) Prec@1 45.000 (47.369) Prec@5 80.000 (77.887) Epoch: [48][10780/11272] Time 0.880 (0.791) Data 0.001 (0.002) Loss 2.0682 (2.0431) Prec@1 47.500 (47.369) Prec@5 76.875 (77.886) Epoch: [48][10790/11272] Time 0.857 (0.791) Data 0.002 (0.002) Loss 1.9586 (2.0430) Prec@1 49.375 (47.369) Prec@5 80.625 (77.888) Epoch: [48][10800/11272] Time 0.719 (0.791) Data 0.001 (0.002) Loss 1.9520 (2.0431) Prec@1 47.500 (47.367) Prec@5 78.125 (77.886) Epoch: [48][10810/11272] Time 0.757 (0.791) Data 0.002 (0.002) Loss 2.0777 (2.0431) Prec@1 41.875 (47.367) Prec@5 75.625 (77.886) Epoch: [48][10820/11272] Time 0.849 (0.791) Data 0.001 (0.002) Loss 2.0648 (2.0431) Prec@1 41.250 (47.367) Prec@5 76.250 (77.886) Epoch: [48][10830/11272] Time 0.876 (0.791) Data 0.002 (0.002) Loss 2.0353 (2.0431) Prec@1 44.375 (47.365) Prec@5 76.875 (77.885) Epoch: [48][10840/11272] Time 0.725 (0.791) Data 0.001 (0.002) Loss 2.0712 (2.0432) Prec@1 48.750 (47.364) Prec@5 80.625 (77.885) Epoch: [48][10850/11272] Time 0.734 (0.791) Data 0.001 (0.002) Loss 1.8187 (2.0431) Prec@1 53.750 (47.366) Prec@5 81.875 (77.886) Epoch: [48][10860/11272] Time 0.853 (0.791) Data 0.001 (0.002) Loss 1.9864 (2.0431) Prec@1 44.375 (47.365) Prec@5 83.750 (77.886) Epoch: [48][10870/11272] Time 0.857 (0.791) Data 0.002 (0.002) Loss 2.2083 (2.0431) Prec@1 46.250 (47.365) Prec@5 73.750 (77.885) Epoch: [48][10880/11272] Time 0.722 (0.791) Data 0.001 (0.002) Loss 1.8914 (2.0432) Prec@1 52.500 (47.364) Prec@5 78.750 (77.884) Epoch: [48][10890/11272] Time 0.745 (0.791) Data 0.001 (0.002) Loss 2.1343 (2.0431) Prec@1 47.500 (47.363) Prec@5 76.250 (77.885) Epoch: [48][10900/11272] Time 0.826 (0.791) Data 0.001 (0.002) Loss 1.8450 (2.0431) Prec@1 56.875 (47.363) Prec@5 81.875 (77.885) Epoch: [48][10910/11272] Time 0.768 (0.791) Data 0.004 (0.002) Loss 2.1957 (2.0432) Prec@1 44.375 (47.362) Prec@5 73.125 (77.883) Epoch: [48][10920/11272] Time 0.727 (0.791) Data 0.002 (0.002) Loss 1.9812 (2.0433) Prec@1 51.250 (47.361) Prec@5 77.500 (77.882) Epoch: [48][10930/11272] Time 0.859 (0.791) Data 0.002 (0.002) Loss 2.0910 (2.0432) Prec@1 50.000 (47.361) Prec@5 75.000 (77.883) Epoch: [48][10940/11272] Time 0.811 (0.791) Data 0.001 (0.002) Loss 1.9569 (2.0432) Prec@1 50.625 (47.362) Prec@5 81.875 (77.884) Epoch: [48][10950/11272] Time 0.735 (0.791) Data 0.001 (0.002) Loss 2.3049 (2.0432) Prec@1 45.625 (47.362) Prec@5 68.750 (77.883) Epoch: [48][10960/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 2.1524 (2.0433) Prec@1 45.000 (47.360) Prec@5 79.375 (77.882) Epoch: [48][10970/11272] Time 0.886 (0.791) Data 0.002 (0.002) Loss 1.9626 (2.0433) Prec@1 51.875 (47.359) Prec@5 80.625 (77.882) Epoch: [48][10980/11272] Time 0.827 (0.791) Data 0.001 (0.002) Loss 2.2122 (2.0433) Prec@1 45.000 (47.358) Prec@5 73.750 (77.882) Epoch: [48][10990/11272] Time 0.716 (0.791) Data 0.001 (0.002) Loss 1.9535 (2.0433) Prec@1 46.875 (47.361) Prec@5 80.000 (77.882) Epoch: [48][11000/11272] Time 0.771 (0.791) Data 0.003 (0.002) Loss 2.3581 (2.0433) Prec@1 45.000 (47.361) Prec@5 70.625 (77.883) Epoch: [48][11010/11272] Time 0.848 (0.791) Data 0.002 (0.002) Loss 2.0174 (2.0433) Prec@1 43.750 (47.361) Prec@5 81.250 (77.884) Epoch: [48][11020/11272] Time 0.891 (0.791) Data 0.002 (0.002) Loss 2.2275 (2.0432) Prec@1 44.375 (47.363) Prec@5 76.875 (77.886) Epoch: [48][11030/11272] Time 0.740 (0.791) Data 0.002 (0.002) Loss 2.1852 (2.0431) Prec@1 50.625 (47.366) Prec@5 71.875 (77.886) Epoch: [48][11040/11272] Time 0.827 (0.791) Data 0.002 (0.002) Loss 1.9280 (2.0431) Prec@1 43.125 (47.368) Prec@5 81.250 (77.888) Epoch: [48][11050/11272] Time 0.855 (0.791) Data 0.001 (0.002) Loss 2.0291 (2.0431) Prec@1 51.250 (47.368) Prec@5 77.500 (77.888) Epoch: [48][11060/11272] Time 0.735 (0.791) Data 0.002 (0.002) Loss 2.0644 (2.0431) Prec@1 42.500 (47.368) Prec@5 78.750 (77.888) Epoch: [48][11070/11272] Time 0.731 (0.791) Data 0.002 (0.002) Loss 1.9069 (2.0431) Prec@1 50.625 (47.368) Prec@5 80.000 (77.888) Epoch: [48][11080/11272] Time 0.867 (0.791) Data 0.002 (0.002) Loss 2.1460 (2.0431) Prec@1 48.125 (47.369) Prec@5 75.000 (77.888) Epoch: [48][11090/11272] Time 0.824 (0.791) Data 0.005 (0.002) Loss 2.0538 (2.0430) Prec@1 48.125 (47.371) Prec@5 80.000 (77.890) Epoch: [48][11100/11272] Time 0.732 (0.791) Data 0.001 (0.002) Loss 2.1599 (2.0431) Prec@1 49.375 (47.370) Prec@5 76.875 (77.888) Epoch: [48][11110/11272] Time 0.752 (0.791) Data 0.001 (0.002) Loss 2.0390 (2.0431) Prec@1 48.125 (47.370) Prec@5 76.875 (77.888) Epoch: [48][11120/11272] Time 0.872 (0.791) Data 0.001 (0.002) Loss 1.9293 (2.0430) Prec@1 51.875 (47.371) Prec@5 78.125 (77.888) Epoch: [48][11130/11272] Time 0.858 (0.791) Data 0.001 (0.002) Loss 2.0675 (2.0430) Prec@1 47.500 (47.372) Prec@5 78.125 (77.888) Epoch: [48][11140/11272] Time 0.751 (0.791) Data 0.001 (0.002) Loss 2.2022 (2.0431) Prec@1 44.375 (47.369) Prec@5 76.875 (77.886) Epoch: [48][11150/11272] Time 0.763 (0.791) Data 0.002 (0.002) Loss 2.1581 (2.0431) Prec@1 45.625 (47.368) Prec@5 79.375 (77.887) Epoch: [48][11160/11272] Time 0.860 (0.791) Data 0.001 (0.002) Loss 2.0038 (2.0431) Prec@1 47.500 (47.369) Prec@5 77.500 (77.887) Epoch: [48][11170/11272] Time 0.753 (0.791) Data 0.004 (0.002) Loss 2.1204 (2.0432) Prec@1 45.625 (47.366) Prec@5 78.750 (77.886) Epoch: [48][11180/11272] Time 0.778 (0.791) Data 0.002 (0.002) Loss 1.8981 (2.0432) Prec@1 50.625 (47.367) Prec@5 80.625 (77.886) Epoch: [48][11190/11272] Time 0.838 (0.791) Data 0.001 (0.002) Loss 2.1017 (2.0432) Prec@1 45.000 (47.367) Prec@5 78.125 (77.885) Epoch: [48][11200/11272] Time 0.918 (0.791) Data 0.002 (0.002) Loss 2.0651 (2.0432) Prec@1 47.500 (47.366) Prec@5 78.750 (77.885) Epoch: [48][11210/11272] Time 0.806 (0.791) Data 0.002 (0.002) Loss 2.0673 (2.0433) Prec@1 44.375 (47.364) Prec@5 77.500 (77.885) Epoch: [48][11220/11272] Time 0.736 (0.791) Data 0.002 (0.002) Loss 1.9350 (2.0433) Prec@1 51.250 (47.363) Prec@5 79.375 (77.886) Epoch: [48][11230/11272] Time 0.874 (0.791) Data 0.002 (0.002) Loss 1.7234 (2.0433) Prec@1 55.625 (47.363) Prec@5 82.500 (77.886) Epoch: [48][11240/11272] Time 0.887 (0.791) Data 0.002 (0.002) Loss 2.0596 (2.0432) Prec@1 50.000 (47.363) Prec@5 77.500 (77.887) Epoch: [48][11250/11272] Time 0.737 (0.791) Data 0.001 (0.002) Loss 1.8923 (2.0432) Prec@1 48.750 (47.365) Prec@5 79.375 (77.887) Epoch: [48][11260/11272] Time 0.741 (0.791) Data 0.001 (0.002) Loss 2.0553 (2.0432) Prec@1 49.375 (47.362) Prec@5 75.000 (77.887) Epoch: [48][11270/11272] Time 0.815 (0.791) Data 0.000 (0.002) Loss 1.9075 (2.0433) Prec@1 48.750 (47.362) Prec@5 78.750 (77.884) Test: [0/229] Time 2.093 (2.093) Loss 1.2183 (1.2183) Prec@1 64.375 (64.375) Prec@5 95.000 (95.000) Test: [10/229] Time 0.323 (0.547) Loss 1.1039 (1.6769) Prec@1 65.000 (54.034) Prec@5 95.000 (85.341) Test: [20/229] Time 0.408 (0.474) Loss 2.0007 (1.7512) Prec@1 48.125 (52.530) Prec@5 80.625 (84.048) Test: [30/229] Time 0.331 (0.448) Loss 2.1179 (1.6738) Prec@1 41.250 (55.040) Prec@5 81.875 (85.060) Test: [40/229] Time 0.299 (0.435) Loss 0.5470 (1.6767) Prec@1 88.125 (54.787) Prec@5 94.375 (84.954) Test: [50/229] Time 0.432 (0.428) Loss 2.7067 (1.7460) Prec@1 28.750 (53.542) Prec@5 71.250 (83.333) Test: [60/229] Time 0.348 (0.422) Loss 2.1431 (1.7333) Prec@1 37.500 (53.658) Prec@5 81.250 (83.596) Test: [70/229] Time 0.480 (0.419) Loss 1.2624 (1.7395) Prec@1 69.375 (53.521) Prec@5 87.500 (83.671) Test: [80/229] Time 0.352 (0.415) Loss 1.9716 (1.7580) Prec@1 46.875 (52.894) Prec@5 84.375 (83.758) Test: [90/229] Time 0.446 (0.414) Loss 1.2577 (1.7702) Prec@1 70.000 (52.630) Prec@5 89.375 (83.743) Test: [100/229] Time 0.348 (0.411) Loss 2.2670 (1.7548) Prec@1 41.875 (53.063) Prec@5 78.125 (83.855) Test: [110/229] Time 0.342 (0.410) Loss 1.3103 (1.7381) Prec@1 65.000 (53.339) Prec@5 90.000 (84.065) Test: [120/229] Time 0.462 (0.408) Loss 2.7121 (1.7624) Prec@1 28.750 (52.650) Prec@5 73.750 (83.760) Test: [130/229] Time 0.353 (0.407) Loss 1.0413 (1.7516) Prec@1 72.500 (52.953) Prec@5 91.250 (83.931) Test: [140/229] Time 0.428 (0.407) Loss 1.9942 (1.7674) Prec@1 47.500 (52.571) Prec@5 76.875 (83.781) Test: [150/229] Time 0.348 (0.406) Loss 1.1890 (1.7803) Prec@1 73.125 (52.355) Prec@5 90.000 (83.601) Test: [160/229] Time 0.358 (0.407) Loss 2.1123 (1.7818) Prec@1 48.750 (52.209) Prec@5 83.750 (83.641) Test: [170/229] Time 0.424 (0.406) Loss 1.8601 (1.7969) Prec@1 48.750 (51.743) Prec@5 84.375 (83.432) Test: [180/229] Time 0.326 (0.405) Loss 2.5346 (1.8023) Prec@1 28.750 (51.685) Prec@5 70.000 (83.242) Test: [190/229] Time 0.422 (0.404) Loss 1.2640 (1.7943) Prec@1 66.250 (51.924) Prec@5 92.500 (83.334) Test: [200/229] Time 0.393 (0.404) Loss 1.8751 (1.7872) Prec@1 45.000 (51.940) Prec@5 80.000 (83.529) Test: [210/229] Time 0.459 (0.404) Loss 1.1607 (1.7769) Prec@1 64.375 (52.222) Prec@5 93.125 (83.697) Test: [220/229] Time 0.355 (0.404) Loss 1.1588 (1.7706) Prec@1 75.000 (52.506) Prec@5 91.250 (83.725) * Prec@1 52.808 Prec@5 83.754 Epoch: [49][0/11272] Time 3.638 (3.638) Data 2.500 (2.500) Loss 2.0387 (2.0387) Prec@1 46.250 (46.250) Prec@5 75.000 (75.000) Epoch: [49][10/11272] Time 0.842 (1.069) Data 0.002 (0.229) Loss 2.0662 (2.0495) Prec@1 51.250 (47.670) Prec@5 75.625 (77.386) Epoch: [49][20/11272] Time 0.766 (0.948) Data 0.002 (0.121) Loss 2.0446 (2.0362) Prec@1 40.625 (46.935) Prec@5 79.375 (77.917) Epoch: [49][30/11272] Time 0.730 (0.900) Data 0.001 (0.082) Loss 2.1461 (2.0302) Prec@1 44.375 (47.500) Prec@5 75.000 (77.782) Epoch: [49][40/11272] Time 0.827 (0.876) Data 0.001 (0.062) Loss 2.0691 (2.0455) Prec@1 46.875 (46.966) Prec@5 77.500 (77.409) Epoch: [49][50/11272] Time 0.832 (0.860) Data 0.001 (0.051) Loss 1.9911 (2.0328) Prec@1 50.625 (47.512) Prec@5 83.125 (77.978) Epoch: [49][60/11272] Time 0.744 (0.847) Data 0.002 (0.043) Loss 1.8676 (2.0173) Prec@1 48.750 (48.043) Prec@5 82.500 (78.197) Epoch: [49][70/11272] Time 0.742 (0.842) Data 0.001 (0.037) Loss 1.9718 (2.0175) Prec@1 46.875 (47.896) Prec@5 80.625 (78.160) Epoch: [49][80/11272] Time 0.876 (0.837) Data 0.002 (0.032) Loss 2.1767 (2.0233) Prec@1 48.125 (47.747) Prec@5 75.625 (78.040) Epoch: [49][90/11272] Time 0.877 (0.831) Data 0.001 (0.029) Loss 2.2571 (2.0261) Prec@1 43.125 (47.644) Prec@5 74.375 (78.111) Epoch: [49][100/11272] Time 0.732 (0.827) Data 0.001 (0.026) Loss 2.0226 (2.0324) Prec@1 47.500 (47.525) Prec@5 82.500 (78.001) Epoch: [49][110/11272] Time 0.877 (0.827) Data 0.002 (0.024) Loss 1.9652 (2.0283) Prec@1 51.250 (47.517) Prec@5 77.500 (78.001) Epoch: [49][120/11272] Time 0.828 (0.824) Data 0.001 (0.022) Loss 2.0928 (2.0315) Prec@1 45.625 (47.438) Prec@5 76.875 (77.929) Epoch: [49][130/11272] Time 0.747 (0.822) Data 0.002 (0.021) Loss 2.1114 (2.0291) Prec@1 44.375 (47.495) Prec@5 76.250 (77.920) Epoch: [49][140/11272] Time 0.737 (0.820) Data 0.001 (0.019) Loss 2.1860 (2.0347) Prec@1 43.750 (47.385) Prec@5 75.000 (77.806) Epoch: [49][150/11272] Time 0.844 (0.819) Data 0.001 (0.018) Loss 2.0544 (2.0336) Prec@1 45.000 (47.417) Prec@5 76.250 (77.794) Epoch: [49][160/11272] Time 0.836 (0.817) Data 0.001 (0.017) Loss 1.9056 (2.0288) Prec@1 49.375 (47.492) Prec@5 80.625 (77.904) Epoch: [49][170/11272] Time 0.760 (0.815) Data 0.001 (0.016) Loss 1.8672 (2.0260) Prec@1 53.125 (47.584) Prec@5 79.375 (78.026) Epoch: [49][180/11272] Time 0.730 (0.814) Data 0.002 (0.015) Loss 2.2426 (2.0247) Prec@1 42.500 (47.590) Prec@5 74.375 (78.084) Epoch: [49][190/11272] Time 0.815 (0.813) Data 0.001 (0.015) Loss 2.2990 (2.0301) Prec@1 37.500 (47.379) Prec@5 78.125 (78.033) Epoch: [49][200/11272] Time 0.834 (0.812) Data 0.001 (0.014) Loss 1.6529 (2.0294) Prec@1 56.250 (47.348) Prec@5 84.375 (78.063) Epoch: [49][210/11272] Time 0.743 (0.811) Data 0.002 (0.013) Loss 2.1326 (2.0277) Prec@1 47.500 (47.429) Prec@5 75.000 (78.084) Epoch: [49][220/11272] Time 0.760 (0.811) Data 0.002 (0.013) Loss 2.0445 (2.0303) Prec@1 53.125 (47.373) Prec@5 78.750 (78.012) Epoch: [49][230/11272] Time 0.855 (0.810) Data 0.002 (0.012) Loss 1.9242 (2.0333) Prec@1 50.625 (47.335) Prec@5 83.125 (77.955) Epoch: [49][240/11272] Time 0.760 (0.809) Data 0.004 (0.012) Loss 2.1728 (2.0314) Prec@1 43.125 (47.363) Prec@5 76.250 (78.021) Epoch: [49][250/11272] Time 0.750 (0.809) Data 0.002 (0.011) Loss 2.2372 (2.0296) Prec@1 43.750 (47.371) Prec@5 75.625 (78.050) Epoch: [49][260/11272] Time 0.881 (0.809) Data 0.001 (0.011) Loss 1.8651 (2.0288) Prec@1 50.000 (47.411) Prec@5 82.500 (78.070) Epoch: [49][270/11272] Time 0.835 (0.808) Data 0.001 (0.011) Loss 1.9425 (2.0304) Prec@1 50.625 (47.454) Prec@5 78.750 (78.067) Epoch: [49][280/11272] Time 0.761 (0.808) Data 0.001 (0.010) Loss 1.9964 (2.0313) Prec@1 43.125 (47.442) Prec@5 81.875 (78.049) Epoch: [49][290/11272] Time 0.735 (0.808) Data 0.001 (0.010) Loss 1.8562 (2.0305) Prec@1 53.750 (47.448) Prec@5 80.000 (78.061) Epoch: [49][300/11272] Time 0.881 (0.808) Data 0.001 (0.010) Loss 1.8872 (2.0291) Prec@1 51.875 (47.535) Prec@5 80.625 (78.075) Epoch: [49][310/11272] Time 0.836 (0.808) Data 0.002 (0.010) Loss 2.0667 (2.0297) Prec@1 51.875 (47.518) Prec@5 76.250 (78.045) Epoch: [49][320/11272] Time 0.750 (0.808) Data 0.001 (0.009) Loss 1.7506 (2.0256) Prec@1 51.875 (47.619) Prec@5 82.500 (78.135) Epoch: [49][330/11272] Time 0.719 (0.808) Data 0.002 (0.009) Loss 1.8923 (2.0236) Prec@1 50.000 (47.660) Prec@5 79.375 (78.189) Epoch: [49][340/11272] Time 0.870 (0.808) Data 0.002 (0.009) Loss 2.0890 (2.0242) Prec@1 44.375 (47.670) Prec@5 81.250 (78.191) Epoch: [49][350/11272] Time 0.842 (0.807) Data 0.001 (0.009) Loss 1.9392 (2.0245) Prec@1 50.000 (47.699) Prec@5 78.750 (78.153) Epoch: [49][360/11272] Time 0.730 (0.807) Data 0.001 (0.008) Loss 1.9123 (2.0250) Prec@1 48.125 (47.690) Prec@5 78.750 (78.111) Epoch: [49][370/11272] Time 0.855 (0.807) Data 0.001 (0.008) Loss 2.0267 (2.0262) Prec@1 51.250 (47.680) Prec@5 79.375 (78.125) Epoch: [49][380/11272] Time 0.904 (0.807) Data 0.002 (0.008) Loss 2.2454 (2.0251) Prec@1 49.375 (47.703) Prec@5 69.375 (78.141) Epoch: [49][390/11272] Time 0.784 (0.807) Data 0.002 (0.008) Loss 2.0122 (2.0246) Prec@1 50.000 (47.717) Prec@5 78.750 (78.157) Epoch: [49][400/11272] Time 0.734 (0.806) Data 0.001 (0.008) Loss 2.0162 (2.0258) Prec@1 45.000 (47.693) Prec@5 77.500 (78.134) Epoch: [49][410/11272] Time 0.847 (0.807) Data 0.001 (0.008) Loss 1.9342 (2.0266) Prec@1 48.750 (47.704) Prec@5 81.250 (78.110) Epoch: [49][420/11272] Time 0.869 (0.807) Data 0.001 (0.007) Loss 2.2258 (2.0280) Prec@1 45.625 (47.687) Prec@5 75.625 (78.083) Epoch: [49][430/11272] Time 0.741 (0.806) Data 0.001 (0.007) Loss 1.9992 (2.0292) Prec@1 46.875 (47.648) Prec@5 75.000 (78.060) Epoch: [49][440/11272] Time 0.732 (0.806) Data 0.001 (0.007) Loss 2.0009 (2.0284) Prec@1 46.250 (47.670) Prec@5 74.375 (78.071) Epoch: [49][450/11272] Time 0.858 (0.806) Data 0.001 (0.007) Loss 2.1731 (2.0287) Prec@1 40.000 (47.648) Prec@5 76.875 (78.045) Epoch: [49][460/11272] Time 0.840 (0.806) Data 0.001 (0.007) Loss 2.2421 (2.0290) Prec@1 46.875 (47.632) Prec@5 73.750 (78.033) Epoch: [49][470/11272] Time 0.752 (0.805) Data 0.001 (0.007) Loss 2.1835 (2.0301) Prec@1 47.500 (47.625) Prec@5 76.250 (78.048) Epoch: [49][480/11272] Time 0.738 (0.805) Data 0.002 (0.007) Loss 2.0554 (2.0303) Prec@1 50.625 (47.631) Prec@5 75.000 (78.046) Epoch: [49][490/11272] Time 0.855 (0.805) Data 0.001 (0.007) Loss 2.0057 (2.0299) Prec@1 47.500 (47.629) Prec@5 78.750 (78.065) Epoch: [49][500/11272] Time 0.830 (0.805) Data 0.001 (0.007) Loss 1.9799 (2.0292) Prec@1 48.750 (47.651) Prec@5 81.250 (78.075) Epoch: [49][510/11272] Time 0.728 (0.804) Data 0.001 (0.006) Loss 1.8393 (2.0287) Prec@1 54.375 (47.657) Prec@5 83.125 (78.083) Epoch: [49][520/11272] Time 0.832 (0.804) Data 0.002 (0.006) Loss 2.2102 (2.0291) Prec@1 44.375 (47.645) Prec@5 73.125 (78.049) Epoch: [49][530/11272] Time 0.870 (0.804) Data 0.002 (0.006) Loss 1.9501 (2.0275) Prec@1 48.750 (47.686) Prec@5 79.375 (78.074) Epoch: [49][540/11272] Time 0.715 (0.803) Data 0.001 (0.006) Loss 2.0559 (2.0276) Prec@1 51.250 (47.669) Prec@5 77.500 (78.072) Epoch: [49][550/11272] Time 0.742 (0.803) Data 0.001 (0.006) Loss 1.9024 (2.0273) Prec@1 53.125 (47.693) Prec@5 82.500 (78.080) Epoch: [49][560/11272] Time 0.823 (0.803) Data 0.001 (0.006) Loss 2.1712 (2.0267) Prec@1 44.375 (47.721) Prec@5 75.625 (78.087) Epoch: [49][570/11272] Time 0.815 (0.802) Data 0.001 (0.006) Loss 2.1287 (2.0262) Prec@1 43.125 (47.718) Prec@5 75.000 (78.093) Epoch: [49][580/11272] Time 0.742 (0.802) Data 0.001 (0.006) Loss 2.0393 (2.0270) Prec@1 43.125 (47.655) Prec@5 77.500 (78.080) Epoch: [49][590/11272] Time 0.746 (0.802) Data 0.001 (0.006) Loss 2.0915 (2.0263) Prec@1 43.125 (47.661) Prec@5 78.750 (78.090) Epoch: [49][600/11272] Time 0.839 (0.802) Data 0.001 (0.006) Loss 1.9584 (2.0257) Prec@1 48.750 (47.670) Prec@5 82.500 (78.117) Epoch: [49][610/11272] Time 0.840 (0.802) Data 0.001 (0.006) Loss 2.2668 (2.0250) Prec@1 39.375 (47.662) Prec@5 73.125 (78.136) Epoch: [49][620/11272] Time 0.720 (0.801) Data 0.001 (0.006) Loss 2.2747 (2.0249) Prec@1 45.625 (47.670) Prec@5 75.625 (78.138) Epoch: [49][630/11272] Time 0.731 (0.801) Data 0.001 (0.005) Loss 2.0155 (2.0259) Prec@1 45.000 (47.651) Prec@5 75.625 (78.110) Epoch: [49][640/11272] Time 0.839 (0.801) Data 0.001 (0.005) Loss 2.1025 (2.0266) Prec@1 46.250 (47.650) Prec@5 75.625 (78.100) Epoch: [49][650/11272] Time 0.740 (0.800) Data 0.001 (0.005) Loss 2.2163 (2.0262) Prec@1 41.875 (47.663) Prec@5 76.875 (78.097) Epoch: [49][660/11272] Time 0.720 (0.800) Data 0.001 (0.005) Loss 1.9673 (2.0251) Prec@1 50.625 (47.677) Prec@5 79.375 (78.128) Epoch: [49][670/11272] Time 0.845 (0.800) Data 0.001 (0.005) Loss 2.1531 (2.0251) Prec@1 46.875 (47.676) Prec@5 76.875 (78.123) Epoch: [49][680/11272] Time 0.831 (0.800) Data 0.001 (0.005) Loss 2.0831 (2.0240) Prec@1 43.125 (47.711) Prec@5 77.500 (78.140) Epoch: [49][690/11272] Time 0.727 (0.799) Data 0.001 (0.005) Loss 1.8689 (2.0231) Prec@1 46.875 (47.723) Prec@5 82.500 (78.146) Epoch: [49][700/11272] Time 0.726 (0.799) Data 0.001 (0.005) Loss 1.9484 (2.0227) Prec@1 46.875 (47.737) Prec@5 83.750 (78.171) Epoch: [49][710/11272] Time 0.872 (0.799) Data 0.002 (0.005) Loss 1.8792 (2.0223) Prec@1 50.625 (47.736) Prec@5 81.875 (78.184) Epoch: [49][720/11272] Time 0.842 (0.799) Data 0.002 (0.005) Loss 1.9505 (2.0218) Prec@1 50.000 (47.770) Prec@5 81.250 (78.197) Epoch: [49][730/11272] Time 0.730 (0.798) Data 0.001 (0.005) Loss 2.3101 (2.0227) Prec@1 40.000 (47.733) Prec@5 72.500 (78.191) Epoch: [49][740/11272] Time 0.742 (0.798) Data 0.001 (0.005) Loss 1.9675 (2.0219) Prec@1 44.375 (47.752) Prec@5 76.250 (78.214) Epoch: [49][750/11272] Time 0.861 (0.799) Data 0.002 (0.005) Loss 2.0261 (2.0226) Prec@1 46.250 (47.742) Prec@5 76.875 (78.192) Epoch: [49][760/11272] Time 0.809 (0.798) Data 0.001 (0.005) Loss 2.0593 (2.0214) Prec@1 49.375 (47.784) Prec@5 75.625 (78.205) Epoch: [49][770/11272] Time 0.734 (0.798) Data 0.001 (0.005) Loss 1.9603 (2.0216) Prec@1 45.000 (47.769) Prec@5 83.125 (78.218) Epoch: [49][780/11272] Time 0.841 (0.798) Data 0.002 (0.005) Loss 2.0174 (2.0213) Prec@1 45.000 (47.781) Prec@5 79.375 (78.227) Epoch: [49][790/11272] Time 0.886 (0.798) Data 0.002 (0.005) Loss 1.8244 (2.0207) Prec@1 48.750 (47.793) Prec@5 83.125 (78.237) Epoch: [49][800/11272] Time 0.738 (0.798) Data 0.001 (0.005) Loss 2.0091 (2.0198) Prec@1 48.750 (47.820) Prec@5 79.375 (78.255) Epoch: [49][810/11272] Time 0.720 (0.797) Data 0.001 (0.005) Loss 1.7499 (2.0188) Prec@1 53.750 (47.839) Prec@5 85.000 (78.280) Epoch: [49][820/11272] Time 0.836 (0.797) Data 0.001 (0.005) Loss 2.2268 (2.0189) Prec@1 47.500 (47.816) Prec@5 76.875 (78.278) Epoch: [49][830/11272] Time 0.831 (0.797) Data 0.001 (0.004) Loss 2.1673 (2.0193) Prec@1 43.750 (47.802) Prec@5 76.875 (78.267) Epoch: [49][840/11272] Time 0.728 (0.797) Data 0.001 (0.004) Loss 1.8820 (2.0182) Prec@1 53.125 (47.848) Prec@5 78.125 (78.287) Epoch: [49][850/11272] Time 0.735 (0.797) Data 0.001 (0.004) Loss 1.8205 (2.0177) Prec@1 51.875 (47.848) Prec@5 85.625 (78.302) Epoch: [49][860/11272] Time 0.823 (0.797) Data 0.002 (0.004) Loss 2.1618 (2.0178) Prec@1 48.125 (47.849) Prec@5 77.500 (78.304) Epoch: [49][870/11272] Time 0.842 (0.796) Data 0.001 (0.004) Loss 1.9743 (2.0172) Prec@1 47.500 (47.880) Prec@5 82.500 (78.314) Epoch: [49][880/11272] Time 0.737 (0.796) Data 0.002 (0.004) Loss 2.0875 (2.0179) Prec@1 48.125 (47.867) Prec@5 78.125 (78.300) Epoch: [49][890/11272] Time 0.726 (0.796) Data 0.001 (0.004) Loss 1.9970 (2.0178) Prec@1 49.375 (47.884) Prec@5 82.500 (78.313) Epoch: [49][900/11272] Time 0.831 (0.796) Data 0.001 (0.004) Loss 2.0253 (2.0184) Prec@1 48.750 (47.882) Prec@5 77.500 (78.296) Epoch: [49][910/11272] Time 0.727 (0.796) Data 0.001 (0.004) Loss 2.1339 (2.0179) Prec@1 42.500 (47.902) Prec@5 76.250 (78.302) Epoch: [49][920/11272] Time 0.724 (0.796) Data 0.001 (0.004) Loss 1.9772 (2.0167) Prec@1 51.250 (47.919) Prec@5 80.625 (78.325) Epoch: [49][930/11272] Time 0.834 (0.796) Data 0.001 (0.004) Loss 2.0393 (2.0160) Prec@1 45.625 (47.928) Prec@5 78.125 (78.335) Epoch: [49][940/11272] Time 0.800 (0.796) Data 0.001 (0.004) Loss 2.2877 (2.0161) Prec@1 43.750 (47.922) Prec@5 72.500 (78.336) Epoch: [49][950/11272] Time 0.706 (0.796) Data 0.001 (0.004) Loss 1.9698 (2.0167) Prec@1 52.500 (47.904) Prec@5 75.000 (78.328) Epoch: [49][960/11272] Time 0.739 (0.796) Data 0.002 (0.004) Loss 2.0461 (2.0175) Prec@1 48.750 (47.894) Prec@5 81.250 (78.316) Epoch: [49][970/11272] Time 0.879 (0.796) Data 0.002 (0.004) Loss 2.0449 (2.0189) Prec@1 42.500 (47.873) Prec@5 80.000 (78.297) Epoch: [49][980/11272] Time 0.868 (0.795) Data 0.002 (0.004) Loss 1.9775 (2.0189) Prec@1 44.375 (47.867) Prec@5 78.125 (78.289) Epoch: [49][990/11272] Time 0.714 (0.795) Data 0.001 (0.004) Loss 1.8384 (2.0189) Prec@1 51.250 (47.865) Prec@5 81.875 (78.300) Epoch: [49][1000/11272] Time 0.742 (0.795) Data 0.001 (0.004) Loss 1.9465 (2.0183) Prec@1 47.500 (47.886) Prec@5 81.875 (78.317) Epoch: [49][1010/11272] Time 0.843 (0.795) Data 0.001 (0.004) Loss 1.8234 (2.0181) Prec@1 48.125 (47.889) Prec@5 84.375 (78.315) Epoch: [49][1020/11272] Time 0.840 (0.795) Data 0.001 (0.004) Loss 2.1611 (2.0194) Prec@1 46.875 (47.869) Prec@5 76.250 (78.290) Epoch: [49][1030/11272] Time 0.713 (0.795) Data 0.001 (0.004) Loss 1.8743 (2.0186) Prec@1 50.000 (47.898) Prec@5 80.625 (78.307) Epoch: [49][1040/11272] Time 0.820 (0.795) Data 0.001 (0.004) Loss 2.1421 (2.0184) Prec@1 47.500 (47.905) Prec@5 77.500 (78.310) Epoch: [49][1050/11272] Time 0.827 (0.795) Data 0.001 (0.004) Loss 2.0906 (2.0187) Prec@1 48.125 (47.899) Prec@5 74.375 (78.300) Epoch: [49][1060/11272] Time 0.740 (0.795) Data 0.001 (0.004) Loss 2.0153 (2.0187) Prec@1 45.000 (47.905) Prec@5 79.375 (78.297) Epoch: [49][1070/11272] Time 0.731 (0.795) Data 0.001 (0.004) Loss 2.1202 (2.0186) Prec@1 43.750 (47.901) Prec@5 76.250 (78.294) Epoch: [49][1080/11272] Time 0.832 (0.795) Data 0.001 (0.004) Loss 1.9963 (2.0186) Prec@1 53.125 (47.900) Prec@5 80.625 (78.300) Epoch: [49][1090/11272] Time 0.828 (0.795) Data 0.001 (0.004) Loss 2.1773 (2.0188) Prec@1 46.875 (47.886) Prec@5 75.625 (78.299) Epoch: [49][1100/11272] Time 0.724 (0.795) Data 0.001 (0.004) Loss 2.0987 (2.0187) Prec@1 44.375 (47.881) Prec@5 77.500 (78.298) Epoch: [49][1110/11272] Time 0.722 (0.794) Data 0.001 (0.004) Loss 1.9271 (2.0187) Prec@1 51.875 (47.884) Prec@5 80.625 (78.294) Epoch: [49][1120/11272] Time 0.834 (0.794) Data 0.001 (0.004) Loss 2.0597 (2.0185) Prec@1 46.875 (47.889) Prec@5 77.500 (78.296) Epoch: [49][1130/11272] Time 0.826 (0.794) Data 0.001 (0.004) Loss 2.1777 (2.0190) Prec@1 49.375 (47.877) Prec@5 75.000 (78.292) Epoch: [49][1140/11272] Time 0.705 (0.794) Data 0.001 (0.004) Loss 1.8313 (2.0187) Prec@1 56.875 (47.882) Prec@5 84.375 (78.296) Epoch: [49][1150/11272] Time 0.741 (0.794) Data 0.001 (0.004) Loss 2.1720 (2.0186) Prec@1 41.250 (47.890) Prec@5 70.625 (78.286) Epoch: [49][1160/11272] Time 0.861 (0.794) Data 0.001 (0.004) Loss 1.9977 (2.0186) Prec@1 48.750 (47.895) Prec@5 78.125 (78.284) Epoch: [49][1170/11272] Time 0.754 (0.794) Data 0.003 (0.004) Loss 1.9665 (2.0184) Prec@1 48.750 (47.902) Prec@5 80.000 (78.296) Epoch: [49][1180/11272] Time 0.736 (0.794) Data 0.001 (0.004) Loss 2.1899 (2.0185) Prec@1 43.750 (47.895) Prec@5 73.750 (78.303) Epoch: [49][1190/11272] Time 0.789 (0.794) Data 0.001 (0.004) Loss 1.8643 (2.0185) Prec@1 49.375 (47.884) Prec@5 80.625 (78.301) Epoch: [49][1200/11272] Time 0.841 (0.794) Data 0.001 (0.004) Loss 2.0949 (2.0182) Prec@1 43.125 (47.898) Prec@5 77.500 (78.309) Epoch: [49][1210/11272] Time 0.724 (0.793) Data 0.002 (0.004) Loss 2.0361 (2.0186) Prec@1 49.375 (47.891) Prec@5 80.000 (78.304) Epoch: [49][1220/11272] Time 0.717 (0.793) Data 0.001 (0.004) Loss 1.9795 (2.0181) Prec@1 48.750 (47.901) Prec@5 77.500 (78.311) Epoch: [49][1230/11272] Time 0.862 (0.793) Data 0.001 (0.003) Loss 1.9982 (2.0182) Prec@1 45.625 (47.899) Prec@5 79.375 (78.300) Epoch: [49][1240/11272] Time 0.822 (0.793) Data 0.001 (0.003) Loss 1.9122 (2.0176) Prec@1 50.000 (47.909) Prec@5 76.250 (78.309) Epoch: [49][1250/11272] Time 0.734 (0.793) Data 0.002 (0.003) Loss 1.8626 (2.0181) Prec@1 51.250 (47.903) Prec@5 79.375 (78.304) Epoch: [49][1260/11272] Time 0.729 (0.793) Data 0.001 (0.003) Loss 1.9884 (2.0176) Prec@1 49.375 (47.904) Prec@5 77.500 (78.311) Epoch: [49][1270/11272] Time 0.847 (0.793) Data 0.001 (0.003) Loss 2.1950 (2.0178) Prec@1 40.625 (47.902) Prec@5 71.875 (78.308) Epoch: [49][1280/11272] Time 0.834 (0.793) Data 0.001 (0.003) Loss 2.1796 (2.0185) Prec@1 46.875 (47.884) Prec@5 73.750 (78.286) Epoch: [49][1290/11272] Time 0.741 (0.793) Data 0.002 (0.003) Loss 2.0826 (2.0182) Prec@1 45.625 (47.895) Prec@5 73.750 (78.291) Epoch: [49][1300/11272] Time 0.877 (0.793) Data 0.001 (0.003) Loss 1.9914 (2.0186) Prec@1 51.250 (47.882) Prec@5 75.625 (78.286) Epoch: [49][1310/11272] Time 0.874 (0.793) Data 0.002 (0.003) Loss 2.1035 (2.0187) Prec@1 43.125 (47.876) Prec@5 76.250 (78.275) Epoch: [49][1320/11272] Time 0.728 (0.793) Data 0.001 (0.003) Loss 1.9718 (2.0188) Prec@1 48.750 (47.873) Prec@5 79.375 (78.268) Epoch: [49][1330/11272] Time 0.766 (0.793) Data 0.001 (0.003) Loss 1.8406 (2.0190) Prec@1 51.875 (47.862) Prec@5 78.750 (78.266) Epoch: [49][1340/11272] Time 0.866 (0.793) Data 0.001 (0.003) Loss 2.0541 (2.0185) Prec@1 47.500 (47.865) Prec@5 79.375 (78.272) Epoch: [49][1350/11272] Time 0.831 (0.793) Data 0.001 (0.003) Loss 1.9441 (2.0186) Prec@1 50.000 (47.871) Prec@5 75.625 (78.262) Epoch: [49][1360/11272] Time 0.737 (0.793) Data 0.001 (0.003) Loss 1.9270 (2.0191) Prec@1 49.375 (47.858) Prec@5 81.250 (78.251) Epoch: [49][1370/11272] Time 0.723 (0.793) Data 0.001 (0.003) Loss 1.9043 (2.0192) Prec@1 48.750 (47.855) Prec@5 78.125 (78.244) Epoch: [49][1380/11272] Time 0.831 (0.793) Data 0.001 (0.003) Loss 1.9905 (2.0187) Prec@1 48.750 (47.867) Prec@5 78.750 (78.255) Epoch: [49][1390/11272] Time 0.832 (0.793) Data 0.001 (0.003) Loss 1.8682 (2.0182) Prec@1 49.375 (47.887) Prec@5 81.875 (78.265) Epoch: [49][1400/11272] Time 0.718 (0.792) Data 0.001 (0.003) Loss 1.9895 (2.0182) Prec@1 47.500 (47.886) Prec@5 76.875 (78.270) Epoch: [49][1410/11272] Time 0.723 (0.792) Data 0.001 (0.003) Loss 1.8447 (2.0183) Prec@1 55.625 (47.885) Prec@5 80.625 (78.275) Epoch: [49][1420/11272] Time 0.833 (0.792) Data 0.001 (0.003) Loss 2.0243 (2.0182) Prec@1 48.750 (47.880) Prec@5 72.500 (78.275) Epoch: [49][1430/11272] Time 0.815 (0.792) Data 0.002 (0.003) Loss 1.8233 (2.0180) Prec@1 51.250 (47.880) Prec@5 83.125 (78.280) Epoch: [49][1440/11272] Time 0.718 (0.792) Data 0.001 (0.003) Loss 1.8951 (2.0176) Prec@1 49.375 (47.896) Prec@5 78.125 (78.288) Epoch: [49][1450/11272] Time 0.848 (0.792) Data 0.001 (0.003) Loss 2.0435 (2.0181) Prec@1 45.625 (47.898) Prec@5 78.125 (78.284) Epoch: [49][1460/11272] Time 0.830 (0.792) Data 0.001 (0.003) Loss 1.9217 (2.0180) Prec@1 53.125 (47.894) Prec@5 78.125 (78.283) Epoch: [49][1470/11272] Time 0.723 (0.792) Data 0.001 (0.003) Loss 2.0899 (2.0179) Prec@1 44.375 (47.904) Prec@5 74.375 (78.287) Epoch: [49][1480/11272] Time 0.722 (0.792) Data 0.001 (0.003) Loss 2.2966 (2.0187) Prec@1 40.000 (47.873) Prec@5 71.875 (78.267) Epoch: [49][1490/11272] Time 0.807 (0.792) Data 0.001 (0.003) Loss 2.0912 (2.0191) Prec@1 43.125 (47.857) Prec@5 73.750 (78.255) Epoch: [49][1500/11272] Time 0.797 (0.792) Data 0.001 (0.003) Loss 1.8178 (2.0194) Prec@1 47.500 (47.848) Prec@5 81.875 (78.247) Epoch: [49][1510/11272] Time 0.729 (0.792) Data 0.001 (0.003) Loss 2.0057 (2.0201) Prec@1 50.000 (47.829) Prec@5 79.375 (78.233) Epoch: [49][1520/11272] Time 0.729 (0.792) Data 0.001 (0.003) Loss 1.7980 (2.0199) Prec@1 54.375 (47.837) Prec@5 86.875 (78.237) Epoch: [49][1530/11272] Time 0.809 (0.792) Data 0.001 (0.003) Loss 2.0382 (2.0195) Prec@1 48.750 (47.847) Prec@5 79.375 (78.250) Epoch: [49][1540/11272] Time 0.825 (0.792) Data 0.001 (0.003) Loss 2.0530 (2.0193) Prec@1 46.875 (47.847) Prec@5 80.000 (78.250) Epoch: [49][1550/11272] Time 0.731 (0.791) Data 0.001 (0.003) Loss 2.2686 (2.0197) Prec@1 43.750 (47.841) Prec@5 76.875 (78.244) Epoch: [49][1560/11272] Time 0.728 (0.791) Data 0.001 (0.003) Loss 2.3120 (2.0199) Prec@1 44.375 (47.839) Prec@5 70.000 (78.246) Epoch: [49][1570/11272] Time 0.826 (0.791) Data 0.001 (0.003) Loss 2.1842 (2.0198) Prec@1 43.750 (47.845) Prec@5 76.250 (78.252) Epoch: [49][1580/11272] Time 0.741 (0.791) Data 0.001 (0.003) Loss 1.9074 (2.0203) Prec@1 50.625 (47.832) Prec@5 79.375 (78.245) Epoch: [49][1590/11272] Time 0.724 (0.791) Data 0.001 (0.003) Loss 2.0799 (2.0200) Prec@1 46.875 (47.834) Prec@5 73.750 (78.255) Epoch: [49][1600/11272] Time 0.835 (0.791) Data 0.001 (0.003) Loss 2.2632 (2.0202) Prec@1 40.625 (47.830) Prec@5 73.750 (78.247) Epoch: [49][1610/11272] Time 0.845 (0.791) Data 0.001 (0.003) Loss 2.1601 (2.0201) Prec@1 44.375 (47.821) Prec@5 77.500 (78.253) Epoch: [49][1620/11272] Time 0.724 (0.791) Data 0.002 (0.003) Loss 2.2288 (2.0201) Prec@1 40.000 (47.819) Prec@5 71.875 (78.255) Epoch: [49][1630/11272] Time 0.724 (0.791) Data 0.001 (0.003) Loss 1.9588 (2.0198) Prec@1 53.750 (47.826) Prec@5 76.250 (78.260) Epoch: [49][1640/11272] Time 0.856 (0.791) Data 0.001 (0.003) Loss 1.7927 (2.0197) Prec@1 53.750 (47.836) Prec@5 82.500 (78.257) Epoch: [49][1650/11272] Time 0.845 (0.791) Data 0.002 (0.003) Loss 1.9375 (2.0196) Prec@1 47.500 (47.836) Prec@5 75.625 (78.259) Epoch: [49][1660/11272] Time 0.726 (0.791) Data 0.002 (0.003) Loss 2.0077 (2.0195) Prec@1 46.250 (47.827) Prec@5 76.875 (78.261) Epoch: [49][1670/11272] Time 0.760 (0.791) Data 0.001 (0.003) Loss 2.0328 (2.0195) Prec@1 49.375 (47.830) Prec@5 76.250 (78.259) Epoch: [49][1680/11272] Time 0.809 (0.791) Data 0.001 (0.003) Loss 1.9336 (2.0194) Prec@1 47.500 (47.834) Prec@5 78.750 (78.257) Epoch: [49][1690/11272] Time 0.823 (0.791) Data 0.001 (0.003) Loss 2.0797 (2.0190) Prec@1 41.250 (47.834) Prec@5 77.500 (78.265) Epoch: [49][1700/11272] Time 0.734 (0.791) Data 0.001 (0.003) Loss 1.9184 (2.0189) Prec@1 50.625 (47.835) Prec@5 79.375 (78.265) Epoch: [49][1710/11272] Time 0.841 (0.791) Data 0.001 (0.003) Loss 1.7169 (2.0185) Prec@1 53.125 (47.841) Prec@5 83.750 (78.277) Epoch: [49][1720/11272] Time 0.828 (0.791) Data 0.001 (0.003) Loss 1.8865 (2.0187) Prec@1 53.125 (47.837) Prec@5 80.625 (78.274) Epoch: [49][1730/11272] Time 0.726 (0.791) Data 0.001 (0.003) Loss 2.0069 (2.0187) Prec@1 47.500 (47.832) Prec@5 78.125 (78.274) Epoch: [49][1740/11272] Time 0.718 (0.791) Data 0.001 (0.003) Loss 2.0110 (2.0187) Prec@1 46.250 (47.825) Prec@5 76.875 (78.270) Epoch: [49][1750/11272] Time 0.829 (0.791) Data 0.001 (0.003) Loss 1.9256 (2.0187) Prec@1 51.250 (47.829) Prec@5 80.625 (78.266) Epoch: [49][1760/11272] Time 0.825 (0.791) Data 0.001 (0.003) Loss 2.0726 (2.0191) Prec@1 47.500 (47.816) Prec@5 74.375 (78.265) Epoch: [49][1770/11272] Time 0.729 (0.791) Data 0.001 (0.003) Loss 2.3206 (2.0192) Prec@1 42.500 (47.824) Prec@5 71.875 (78.267) Epoch: [49][1780/11272] Time 0.706 (0.791) Data 0.001 (0.003) Loss 2.0275 (2.0191) Prec@1 47.500 (47.822) Prec@5 80.000 (78.274) Epoch: [49][1790/11272] Time 0.827 (0.791) Data 0.001 (0.003) Loss 1.9292 (2.0192) Prec@1 47.500 (47.821) Prec@5 84.375 (78.275) Epoch: [49][1800/11272] Time 0.819 (0.791) Data 0.001 (0.003) Loss 1.9017 (2.0190) Prec@1 52.500 (47.825) Prec@5 81.875 (78.282) Epoch: [49][1810/11272] Time 0.723 (0.791) Data 0.001 (0.003) Loss 1.9417 (2.0189) Prec@1 52.500 (47.834) Prec@5 78.750 (78.281) Epoch: [49][1820/11272] Time 0.722 (0.790) Data 0.001 (0.003) Loss 2.0404 (2.0185) Prec@1 46.875 (47.843) Prec@5 78.125 (78.281) Epoch: [49][1830/11272] Time 0.841 (0.790) Data 0.002 (0.003) Loss 2.1411 (2.0186) Prec@1 41.875 (47.832) Prec@5 76.875 (78.283) Epoch: [49][1840/11272] Time 0.725 (0.790) Data 0.003 (0.003) Loss 2.2241 (2.0187) Prec@1 46.250 (47.831) Prec@5 73.125 (78.283) Epoch: [49][1850/11272] Time 0.745 (0.790) Data 0.001 (0.003) Loss 2.0745 (2.0189) Prec@1 42.500 (47.830) Prec@5 76.875 (78.281) Epoch: [49][1860/11272] Time 0.849 (0.790) Data 0.001 (0.003) Loss 1.9126 (2.0187) Prec@1 53.125 (47.834) Prec@5 80.000 (78.289) Epoch: [49][1870/11272] Time 0.823 (0.790) Data 0.002 (0.003) Loss 2.1087 (2.0189) Prec@1 49.375 (47.829) Prec@5 78.125 (78.282) Epoch: [49][1880/11272] Time 0.745 (0.790) Data 0.001 (0.003) Loss 2.2596 (2.0192) Prec@1 40.625 (47.821) Prec@5 77.500 (78.283) Epoch: [49][1890/11272] Time 0.708 (0.790) Data 0.001 (0.003) Loss 2.0619 (2.0186) Prec@1 48.750 (47.838) Prec@5 75.625 (78.290) Epoch: [49][1900/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.8972 (2.0189) Prec@1 51.250 (47.832) Prec@5 80.625 (78.280) Epoch: [49][1910/11272] Time 0.813 (0.790) Data 0.001 (0.003) Loss 1.9075 (2.0194) Prec@1 50.000 (47.826) Prec@5 81.250 (78.270) Epoch: [49][1920/11272] Time 0.731 (0.790) Data 0.002 (0.003) Loss 1.7238 (2.0190) Prec@1 57.500 (47.840) Prec@5 82.500 (78.275) Epoch: [49][1930/11272] Time 0.761 (0.790) Data 0.001 (0.003) Loss 1.7825 (2.0187) Prec@1 56.250 (47.848) Prec@5 81.875 (78.286) Epoch: [49][1940/11272] Time 0.834 (0.790) Data 0.001 (0.003) Loss 2.0560 (2.0186) Prec@1 48.750 (47.849) Prec@5 76.875 (78.282) Epoch: [49][1950/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 2.0760 (2.0187) Prec@1 46.875 (47.849) Prec@5 81.250 (78.283) Epoch: [49][1960/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 2.0408 (2.0190) Prec@1 48.750 (47.837) Prec@5 76.250 (78.278) Epoch: [49][1970/11272] Time 0.818 (0.790) Data 0.001 (0.003) Loss 2.2354 (2.0190) Prec@1 43.750 (47.839) Prec@5 75.000 (78.275) Epoch: [49][1980/11272] Time 0.821 (0.790) Data 0.001 (0.003) Loss 2.1816 (2.0194) Prec@1 45.625 (47.827) Prec@5 78.125 (78.273) Epoch: [49][1990/11272] Time 0.737 (0.790) Data 0.002 (0.003) Loss 2.0164 (2.0192) Prec@1 46.250 (47.835) Prec@5 79.375 (78.282) Epoch: [49][2000/11272] Time 0.734 (0.790) Data 0.002 (0.003) Loss 2.2233 (2.0192) Prec@1 46.875 (47.838) Prec@5 73.125 (78.281) Epoch: [49][2010/11272] Time 0.838 (0.790) Data 0.001 (0.003) Loss 2.2125 (2.0197) Prec@1 40.000 (47.827) Prec@5 73.750 (78.270) Epoch: [49][2020/11272] Time 0.829 (0.790) Data 0.001 (0.003) Loss 1.8052 (2.0195) Prec@1 51.250 (47.830) Prec@5 83.750 (78.271) Epoch: [49][2030/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 2.1990 (2.0194) Prec@1 45.000 (47.836) Prec@5 78.750 (78.275) Epoch: [49][2040/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 1.8641 (2.0191) Prec@1 46.875 (47.839) Prec@5 84.375 (78.278) Epoch: [49][2050/11272] Time 0.881 (0.790) Data 0.002 (0.003) Loss 2.2012 (2.0190) Prec@1 42.500 (47.835) Prec@5 73.750 (78.284) Epoch: [49][2060/11272] Time 0.803 (0.790) Data 0.001 (0.003) Loss 2.0221 (2.0195) Prec@1 47.500 (47.824) Prec@5 78.125 (78.277) Epoch: [49][2070/11272] Time 0.756 (0.790) Data 0.001 (0.003) Loss 2.2040 (2.0191) Prec@1 44.375 (47.839) Prec@5 73.750 (78.287) Epoch: [49][2080/11272] Time 0.734 (0.790) Data 0.002 (0.003) Loss 2.1898 (2.0193) Prec@1 46.250 (47.830) Prec@5 77.500 (78.287) Epoch: [49][2090/11272] Time 0.837 (0.790) Data 0.002 (0.003) Loss 1.8742 (2.0197) Prec@1 50.625 (47.827) Prec@5 76.250 (78.282) Epoch: [49][2100/11272] Time 0.744 (0.790) Data 0.004 (0.003) Loss 1.8594 (2.0191) Prec@1 53.750 (47.840) Prec@5 80.625 (78.288) Epoch: [49][2110/11272] Time 0.749 (0.790) Data 0.001 (0.003) Loss 2.0495 (2.0191) Prec@1 41.250 (47.838) Prec@5 80.625 (78.293) Epoch: [49][2120/11272] Time 0.854 (0.790) Data 0.002 (0.003) Loss 2.0978 (2.0194) Prec@1 48.125 (47.834) Prec@5 75.000 (78.284) Epoch: [49][2130/11272] Time 0.831 (0.790) Data 0.001 (0.003) Loss 1.9350 (2.0194) Prec@1 46.875 (47.830) Prec@5 80.625 (78.287) Epoch: [49][2140/11272] Time 0.729 (0.790) Data 0.002 (0.003) Loss 2.0391 (2.0193) Prec@1 46.875 (47.829) Prec@5 73.125 (78.284) Epoch: [49][2150/11272] Time 0.742 (0.790) Data 0.001 (0.003) Loss 2.1802 (2.0194) Prec@1 47.500 (47.827) Prec@5 73.750 (78.277) Epoch: [49][2160/11272] Time 0.803 (0.790) Data 0.001 (0.003) Loss 1.8058 (2.0195) Prec@1 53.750 (47.819) Prec@5 82.500 (78.276) Epoch: [49][2170/11272] Time 0.832 (0.790) Data 0.001 (0.003) Loss 1.8159 (2.0197) Prec@1 50.000 (47.823) Prec@5 81.250 (78.272) Epoch: [49][2180/11272] Time 0.738 (0.790) Data 0.001 (0.003) Loss 1.9232 (2.0193) Prec@1 50.625 (47.829) Prec@5 78.750 (78.279) Epoch: [49][2190/11272] Time 0.711 (0.789) Data 0.001 (0.003) Loss 2.1175 (2.0190) Prec@1 45.000 (47.833) Prec@5 73.125 (78.282) Epoch: [49][2200/11272] Time 0.826 (0.789) Data 0.001 (0.003) Loss 1.9514 (2.0188) Prec@1 53.750 (47.842) Prec@5 84.375 (78.293) Epoch: [49][2210/11272] Time 0.817 (0.789) Data 0.001 (0.003) Loss 1.9454 (2.0184) Prec@1 51.250 (47.847) Prec@5 80.000 (78.302) Epoch: [49][2220/11272] Time 0.720 (0.789) Data 0.001 (0.003) Loss 2.0891 (2.0185) Prec@1 40.000 (47.845) Prec@5 79.375 (78.298) Epoch: [49][2230/11272] Time 0.807 (0.789) Data 0.001 (0.003) Loss 2.1376 (2.0184) Prec@1 47.500 (47.842) Prec@5 76.875 (78.298) Epoch: [49][2240/11272] Time 0.811 (0.789) Data 0.001 (0.003) Loss 2.0990 (2.0185) Prec@1 46.250 (47.841) Prec@5 73.125 (78.294) Epoch: [49][2250/11272] Time 0.724 (0.789) Data 0.001 (0.003) Loss 2.2131 (2.0189) Prec@1 43.750 (47.829) Prec@5 74.375 (78.287) Epoch: [49][2260/11272] Time 0.739 (0.789) Data 0.002 (0.003) Loss 2.2470 (2.0192) Prec@1 41.875 (47.827) Prec@5 75.000 (78.283) Epoch: [49][2270/11272] Time 0.873 (0.789) Data 0.001 (0.003) Loss 2.0602 (2.0190) Prec@1 46.875 (47.832) Prec@5 76.250 (78.285) Epoch: [49][2280/11272] Time 0.814 (0.789) Data 0.001 (0.003) Loss 2.0295 (2.0192) Prec@1 40.625 (47.830) Prec@5 80.000 (78.281) Epoch: [49][2290/11272] Time 0.719 (0.789) Data 0.001 (0.003) Loss 2.1403 (2.0190) Prec@1 49.375 (47.832) Prec@5 72.500 (78.283) Epoch: [49][2300/11272] Time 0.762 (0.789) Data 0.001 (0.003) Loss 2.3136 (2.0190) Prec@1 43.750 (47.829) Prec@5 75.000 (78.280) Epoch: [49][2310/11272] Time 0.837 (0.789) Data 0.001 (0.003) Loss 2.1892 (2.0189) Prec@1 46.250 (47.835) Prec@5 75.000 (78.281) Epoch: [49][2320/11272] Time 0.802 (0.789) Data 0.001 (0.003) Loss 2.2085 (2.0190) Prec@1 41.875 (47.830) Prec@5 75.000 (78.283) Epoch: [49][2330/11272] Time 0.726 (0.789) Data 0.001 (0.003) Loss 2.0065 (2.0187) Prec@1 50.625 (47.836) Prec@5 77.500 (78.290) Epoch: [49][2340/11272] Time 0.722 (0.789) Data 0.001 (0.003) Loss 2.0591 (2.0187) Prec@1 45.625 (47.834) Prec@5 75.000 (78.293) Epoch: [49][2350/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 2.0777 (2.0188) Prec@1 50.625 (47.829) Prec@5 72.500 (78.291) Epoch: [49][2360/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 2.0332 (2.0193) Prec@1 46.250 (47.821) Prec@5 76.875 (78.279) Epoch: [49][2370/11272] Time 0.755 (0.789) Data 0.002 (0.002) Loss 2.0146 (2.0193) Prec@1 45.625 (47.823) Prec@5 76.875 (78.276) Epoch: [49][2380/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.8713 (2.0192) Prec@1 51.875 (47.826) Prec@5 80.000 (78.277) Epoch: [49][2390/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 2.0474 (2.0191) Prec@1 49.375 (47.827) Prec@5 78.125 (78.277) Epoch: [49][2400/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.8899 (2.0191) Prec@1 52.500 (47.826) Prec@5 78.125 (78.273) Epoch: [49][2410/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 2.1501 (2.0193) Prec@1 49.375 (47.827) Prec@5 76.875 (78.269) Epoch: [49][2420/11272] Time 0.875 (0.789) Data 0.001 (0.002) Loss 2.3570 (2.0195) Prec@1 45.625 (47.819) Prec@5 72.500 (78.263) Epoch: [49][2430/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.9991 (2.0194) Prec@1 48.125 (47.824) Prec@5 80.000 (78.269) Epoch: [49][2440/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 2.2094 (2.0193) Prec@1 46.875 (47.827) Prec@5 78.125 (78.271) Epoch: [49][2450/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.8566 (2.0190) Prec@1 44.375 (47.831) Prec@5 80.625 (78.277) Epoch: [49][2460/11272] Time 0.807 (0.789) Data 0.001 (0.002) Loss 2.1615 (2.0190) Prec@1 47.500 (47.833) Prec@5 75.625 (78.275) Epoch: [49][2470/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 2.2607 (2.0194) Prec@1 43.750 (47.828) Prec@5 75.625 (78.270) Epoch: [49][2480/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.9152 (2.0193) Prec@1 46.875 (47.830) Prec@5 79.375 (78.272) Epoch: [49][2490/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.9905 (2.0194) Prec@1 52.500 (47.826) Prec@5 80.000 (78.272) Epoch: [49][2500/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 2.2201 (2.0199) Prec@1 40.000 (47.811) Prec@5 76.875 (78.264) Epoch: [49][2510/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.9337 (2.0202) Prec@1 50.000 (47.803) Prec@5 79.375 (78.260) Epoch: [49][2520/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 2.0901 (2.0203) Prec@1 47.500 (47.799) Prec@5 77.500 (78.259) Epoch: [49][2530/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 2.0032 (2.0202) Prec@1 51.250 (47.808) Prec@5 76.875 (78.259) Epoch: [49][2540/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.9914 (2.0201) Prec@1 45.625 (47.808) Prec@5 80.625 (78.259) Epoch: [49][2550/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 2.1811 (2.0200) Prec@1 45.000 (47.806) Prec@5 71.250 (78.257) Epoch: [49][2560/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.9951 (2.0198) Prec@1 51.875 (47.804) Prec@5 72.500 (78.258) Epoch: [49][2570/11272] Time 0.845 (0.789) Data 0.002 (0.002) Loss 2.1941 (2.0200) Prec@1 44.375 (47.798) Prec@5 75.000 (78.256) Epoch: [49][2580/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 2.0873 (2.0198) Prec@1 50.000 (47.806) Prec@5 73.750 (78.257) Epoch: [49][2590/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.9873 (2.0197) Prec@1 43.750 (47.805) Prec@5 79.375 (78.256) Epoch: [49][2600/11272] Time 0.782 (0.789) Data 0.001 (0.002) Loss 2.0087 (2.0200) Prec@1 50.625 (47.801) Prec@5 78.125 (78.250) Epoch: [49][2610/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.9938 (2.0202) Prec@1 51.250 (47.797) Prec@5 76.875 (78.245) Epoch: [49][2620/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 1.8582 (2.0204) Prec@1 51.250 (47.795) Prec@5 84.375 (78.242) Epoch: [49][2630/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 2.1428 (2.0205) Prec@1 45.000 (47.789) Prec@5 76.250 (78.242) Epoch: [49][2640/11272] Time 0.777 (0.789) Data 0.001 (0.002) Loss 1.8352 (2.0206) Prec@1 52.500 (47.788) Prec@5 81.250 (78.241) Epoch: [49][2650/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.8925 (2.0207) Prec@1 48.750 (47.789) Prec@5 81.250 (78.237) Epoch: [49][2660/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.9405 (2.0211) Prec@1 51.875 (47.779) Prec@5 79.375 (78.234) Epoch: [49][2670/11272] Time 0.735 (0.789) Data 0.001 (0.002) Loss 2.2531 (2.0212) Prec@1 44.375 (47.776) Prec@5 75.625 (78.232) Epoch: [49][2680/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 2.1875 (2.0213) Prec@1 45.625 (47.780) Prec@5 76.875 (78.233) Epoch: [49][2690/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 1.8117 (2.0211) Prec@1 55.000 (47.784) Prec@5 85.000 (78.240) Epoch: [49][2700/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.9999 (2.0212) Prec@1 48.125 (47.782) Prec@5 79.375 (78.238) Epoch: [49][2710/11272] Time 0.703 (0.789) Data 0.001 (0.002) Loss 2.0507 (2.0215) Prec@1 46.250 (47.781) Prec@5 78.125 (78.228) Epoch: [49][2720/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.8502 (2.0216) Prec@1 51.250 (47.783) Prec@5 78.125 (78.226) Epoch: [49][2730/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 2.1753 (2.0216) Prec@1 40.625 (47.781) Prec@5 73.125 (78.226) Epoch: [49][2740/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 2.0646 (2.0215) Prec@1 51.250 (47.782) Prec@5 78.125 (78.225) Epoch: [49][2750/11272] Time 0.737 (0.789) Data 0.001 (0.002) Loss 1.9533 (2.0218) Prec@1 46.875 (47.780) Prec@5 79.375 (78.221) Epoch: [49][2760/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.9483 (2.0217) Prec@1 48.125 (47.779) Prec@5 78.750 (78.222) Epoch: [49][2770/11272] Time 0.724 (0.789) Data 0.003 (0.002) Loss 2.4002 (2.0219) Prec@1 43.125 (47.776) Prec@5 66.875 (78.218) Epoch: [49][2780/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 2.0001 (2.0220) Prec@1 44.375 (47.773) Prec@5 77.500 (78.211) Epoch: [49][2790/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 1.9024 (2.0222) Prec@1 50.000 (47.766) Prec@5 83.125 (78.208) Epoch: [49][2800/11272] Time 0.875 (0.789) Data 0.002 (0.002) Loss 1.9604 (2.0224) Prec@1 44.375 (47.760) Prec@5 81.875 (78.203) Epoch: [49][2810/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 2.0120 (2.0227) Prec@1 49.375 (47.755) Prec@5 79.375 (78.195) Epoch: [49][2820/11272] Time 0.751 (0.789) Data 0.001 (0.002) Loss 2.0485 (2.0229) Prec@1 45.000 (47.750) Prec@5 80.625 (78.193) Epoch: [49][2830/11272] Time 0.801 (0.789) Data 0.001 (0.002) Loss 2.0150 (2.0229) Prec@1 43.750 (47.751) Prec@5 77.500 (78.191) Epoch: [49][2840/11272] Time 0.818 (0.788) Data 0.001 (0.002) Loss 1.9746 (2.0229) Prec@1 46.875 (47.749) Prec@5 78.125 (78.193) Epoch: [49][2850/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 1.9921 (2.0229) Prec@1 49.375 (47.748) Prec@5 77.500 (78.193) Epoch: [49][2860/11272] Time 0.750 (0.788) Data 0.001 (0.002) Loss 1.7958 (2.0229) Prec@1 52.500 (47.748) Prec@5 85.000 (78.192) Epoch: [49][2870/11272] Time 0.852 (0.788) Data 0.001 (0.002) Loss 1.8492 (2.0229) Prec@1 46.875 (47.747) Prec@5 82.500 (78.197) Epoch: [49][2880/11272] Time 0.816 (0.788) Data 0.001 (0.002) Loss 1.7687 (2.0229) Prec@1 49.375 (47.747) Prec@5 83.750 (78.194) Epoch: [49][2890/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 2.2457 (2.0232) Prec@1 48.125 (47.743) Prec@5 75.625 (78.189) Epoch: [49][2900/11272] Time 0.891 (0.788) Data 0.002 (0.002) Loss 2.2807 (2.0232) Prec@1 43.125 (47.743) Prec@5 70.625 (78.194) Epoch: [49][2910/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 2.0708 (2.0234) Prec@1 46.875 (47.740) Prec@5 73.750 (78.190) Epoch: [49][2920/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.0697 (2.0236) Prec@1 50.000 (47.740) Prec@5 78.125 (78.187) Epoch: [49][2930/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 2.3614 (2.0238) Prec@1 42.500 (47.738) Prec@5 75.625 (78.186) Epoch: [49][2940/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 2.0651 (2.0239) Prec@1 48.750 (47.736) Prec@5 79.375 (78.182) Epoch: [49][2950/11272] Time 0.885 (0.788) Data 0.002 (0.002) Loss 2.1100 (2.0239) Prec@1 46.250 (47.738) Prec@5 72.500 (78.178) Epoch: [49][2960/11272] Time 0.707 (0.788) Data 0.001 (0.002) Loss 2.1005 (2.0241) Prec@1 44.375 (47.733) Prec@5 80.625 (78.174) Epoch: [49][2970/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 2.0836 (2.0244) Prec@1 48.125 (47.728) Prec@5 76.875 (78.176) Epoch: [49][2980/11272] Time 0.911 (0.788) Data 0.002 (0.002) Loss 1.9990 (2.0243) Prec@1 48.125 (47.730) Prec@5 77.500 (78.178) Epoch: [49][2990/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 2.0881 (2.0243) Prec@1 45.625 (47.727) Prec@5 77.500 (78.176) Epoch: [49][3000/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.0636 (2.0243) Prec@1 43.125 (47.724) Prec@5 77.500 (78.180) Epoch: [49][3010/11272] Time 0.755 (0.788) Data 0.002 (0.002) Loss 2.0405 (2.0242) Prec@1 44.375 (47.721) Prec@5 79.375 (78.184) Epoch: [49][3020/11272] Time 0.869 (0.788) Data 0.002 (0.002) Loss 1.8629 (2.0242) Prec@1 53.750 (47.719) Prec@5 81.875 (78.186) Epoch: [49][3030/11272] Time 0.743 (0.788) Data 0.004 (0.002) Loss 1.8033 (2.0244) Prec@1 50.625 (47.714) Prec@5 81.250 (78.184) Epoch: [49][3040/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 2.0110 (2.0241) Prec@1 45.625 (47.719) Prec@5 78.125 (78.190) Epoch: [49][3050/11272] Time 0.837 (0.788) Data 0.002 (0.002) Loss 1.9109 (2.0241) Prec@1 50.625 (47.719) Prec@5 78.125 (78.193) Epoch: [49][3060/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 2.2746 (2.0240) Prec@1 46.250 (47.726) Prec@5 71.875 (78.194) Epoch: [49][3070/11272] Time 0.768 (0.788) Data 0.002 (0.002) Loss 2.1170 (2.0240) Prec@1 43.125 (47.724) Prec@5 76.250 (78.192) Epoch: [49][3080/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 2.2701 (2.0242) Prec@1 42.500 (47.720) Prec@5 75.000 (78.189) Epoch: [49][3090/11272] Time 0.881 (0.788) Data 0.002 (0.002) Loss 1.9063 (2.0242) Prec@1 48.125 (47.716) Prec@5 81.250 (78.191) Epoch: [49][3100/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 2.2633 (2.0245) Prec@1 44.375 (47.714) Prec@5 73.125 (78.186) Epoch: [49][3110/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 2.0265 (2.0246) Prec@1 48.125 (47.711) Prec@5 80.625 (78.183) Epoch: [49][3120/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 2.0224 (2.0245) Prec@1 49.375 (47.713) Prec@5 75.625 (78.183) Epoch: [49][3130/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 2.0914 (2.0246) Prec@1 42.500 (47.714) Prec@5 75.625 (78.180) Epoch: [49][3140/11272] Time 0.862 (0.788) Data 0.002 (0.002) Loss 2.0099 (2.0244) Prec@1 50.625 (47.719) Prec@5 76.875 (78.182) Epoch: [49][3150/11272] Time 0.705 (0.788) Data 0.001 (0.002) Loss 2.1552 (2.0246) Prec@1 44.375 (47.720) Prec@5 75.000 (78.177) Epoch: [49][3160/11272] Time 0.860 (0.788) Data 0.001 (0.002) Loss 1.8812 (2.0245) Prec@1 55.000 (47.720) Prec@5 79.375 (78.181) Epoch: [49][3170/11272] Time 0.852 (0.788) Data 0.001 (0.002) Loss 2.2214 (2.0246) Prec@1 39.375 (47.716) Prec@5 76.250 (78.177) Epoch: [49][3180/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.9890 (2.0246) Prec@1 50.625 (47.717) Prec@5 77.500 (78.178) Epoch: [49][3190/11272] Time 0.732 (0.788) Data 0.002 (0.002) Loss 2.2748 (2.0245) Prec@1 38.125 (47.713) Prec@5 73.125 (78.182) Epoch: [49][3200/11272] Time 0.855 (0.788) Data 0.001 (0.002) Loss 1.8657 (2.0246) Prec@1 51.875 (47.709) Prec@5 78.125 (78.183) Epoch: [49][3210/11272] Time 0.787 (0.788) Data 0.001 (0.002) Loss 2.2988 (2.0248) Prec@1 43.750 (47.706) Prec@5 69.375 (78.180) Epoch: [49][3220/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 2.1292 (2.0251) Prec@1 41.250 (47.698) Prec@5 78.750 (78.177) Epoch: [49][3230/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 1.9637 (2.0252) Prec@1 45.000 (47.693) Prec@5 77.500 (78.175) Epoch: [49][3240/11272] Time 0.851 (0.788) Data 0.001 (0.002) Loss 2.2199 (2.0252) Prec@1 42.500 (47.693) Prec@5 77.500 (78.178) Epoch: [49][3250/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.8920 (2.0253) Prec@1 48.125 (47.693) Prec@5 81.875 (78.177) Epoch: [49][3260/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.1553 (2.0253) Prec@1 43.125 (47.693) Prec@5 74.375 (78.173) Epoch: [49][3270/11272] Time 0.734 (0.788) Data 0.001 (0.002) Loss 2.0884 (2.0253) Prec@1 48.125 (47.696) Prec@5 78.125 (78.171) Epoch: [49][3280/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 1.9741 (2.0252) Prec@1 51.250 (47.700) Prec@5 76.875 (78.171) Epoch: [49][3290/11272] Time 0.821 (0.788) Data 0.002 (0.002) Loss 2.1628 (2.0253) Prec@1 44.375 (47.700) Prec@5 76.875 (78.171) Epoch: [49][3300/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 2.1102 (2.0252) Prec@1 47.500 (47.701) Prec@5 73.750 (78.174) Epoch: [49][3310/11272] Time 0.848 (0.788) Data 0.002 (0.002) Loss 1.8341 (2.0251) Prec@1 47.500 (47.704) Prec@5 83.125 (78.175) Epoch: [49][3320/11272] Time 0.819 (0.788) Data 0.001 (0.002) Loss 1.7584 (2.0251) Prec@1 53.125 (47.703) Prec@5 85.625 (78.174) Epoch: [49][3330/11272] Time 0.757 (0.788) Data 0.002 (0.002) Loss 2.2167 (2.0252) Prec@1 43.125 (47.701) Prec@5 76.250 (78.175) Epoch: [49][3340/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.1612 (2.0252) Prec@1 43.750 (47.701) Prec@5 73.125 (78.174) Epoch: [49][3350/11272] Time 0.868 (0.788) Data 0.002 (0.002) Loss 2.0075 (2.0251) Prec@1 50.000 (47.704) Prec@5 84.375 (78.175) Epoch: [49][3360/11272] Time 0.825 (0.788) Data 0.001 (0.002) Loss 2.0359 (2.0252) Prec@1 48.750 (47.705) Prec@5 78.125 (78.174) Epoch: [49][3370/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.8816 (2.0250) Prec@1 50.625 (47.708) Prec@5 78.750 (78.175) Epoch: [49][3380/11272] Time 0.759 (0.788) Data 0.002 (0.002) Loss 2.1717 (2.0252) Prec@1 43.125 (47.702) Prec@5 75.000 (78.170) Epoch: [49][3390/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 1.8103 (2.0251) Prec@1 53.125 (47.701) Prec@5 80.625 (78.168) Epoch: [49][3400/11272] Time 0.812 (0.788) Data 0.001 (0.002) Loss 1.8095 (2.0251) Prec@1 52.500 (47.704) Prec@5 83.125 (78.167) Epoch: [49][3410/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 2.0598 (2.0249) Prec@1 50.000 (47.710) Prec@5 76.875 (78.170) Epoch: [49][3420/11272] Time 0.744 (0.788) Data 0.001 (0.002) Loss 2.1462 (2.0249) Prec@1 51.250 (47.712) Prec@5 72.500 (78.168) Epoch: [49][3430/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 2.2998 (2.0249) Prec@1 36.875 (47.710) Prec@5 74.375 (78.169) Epoch: [49][3440/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 2.1636 (2.0250) Prec@1 43.750 (47.705) Prec@5 77.500 (78.172) Epoch: [49][3450/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 2.0520 (2.0251) Prec@1 50.625 (47.703) Prec@5 76.875 (78.166) Epoch: [49][3460/11272] Time 0.858 (0.788) Data 0.001 (0.002) Loss 2.1459 (2.0247) Prec@1 48.125 (47.713) Prec@5 75.000 (78.174) Epoch: [49][3470/11272] Time 0.856 (0.788) Data 0.002 (0.002) Loss 2.2748 (2.0247) Prec@1 41.250 (47.716) Prec@5 73.125 (78.176) Epoch: [49][3480/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 2.0531 (2.0248) Prec@1 48.125 (47.715) Prec@5 80.625 (78.173) Epoch: [49][3490/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 1.9935 (2.0248) Prec@1 43.125 (47.715) Prec@5 79.375 (78.175) Epoch: [49][3500/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 2.2154 (2.0247) Prec@1 38.750 (47.717) Prec@5 73.750 (78.177) Epoch: [49][3510/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 2.0968 (2.0247) Prec@1 51.875 (47.722) Prec@5 75.625 (78.174) Epoch: [49][3520/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 1.8778 (2.0246) Prec@1 46.250 (47.719) Prec@5 84.375 (78.178) Epoch: [49][3530/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 2.1955 (2.0247) Prec@1 51.875 (47.722) Prec@5 75.625 (78.175) Epoch: [49][3540/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 2.0576 (2.0247) Prec@1 50.000 (47.724) Prec@5 80.625 (78.178) Epoch: [49][3550/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 2.0503 (2.0249) Prec@1 47.500 (47.719) Prec@5 76.250 (78.176) Epoch: [49][3560/11272] Time 0.742 (0.788) Data 0.001 (0.002) Loss 2.1311 (2.0249) Prec@1 44.375 (47.720) Prec@5 77.500 (78.177) Epoch: [49][3570/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 2.3310 (2.0250) Prec@1 46.250 (47.723) Prec@5 71.875 (78.175) Epoch: [49][3580/11272] Time 0.802 (0.788) Data 0.001 (0.002) Loss 1.9576 (2.0246) Prec@1 47.500 (47.732) Prec@5 81.250 (78.181) Epoch: [49][3590/11272] Time 0.751 (0.788) Data 0.001 (0.002) Loss 2.1459 (2.0246) Prec@1 47.500 (47.730) Prec@5 72.500 (78.179) Epoch: [49][3600/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.0252 (2.0245) Prec@1 51.875 (47.734) Prec@5 80.000 (78.179) Epoch: [49][3610/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 2.1115 (2.0246) Prec@1 46.250 (47.733) Prec@5 74.375 (78.175) Epoch: [49][3620/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 2.4322 (2.0247) Prec@1 43.750 (47.734) Prec@5 68.125 (78.172) Epoch: [49][3630/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 2.0928 (2.0246) Prec@1 43.750 (47.737) Prec@5 74.375 (78.175) Epoch: [49][3640/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 1.9609 (2.0246) Prec@1 49.375 (47.734) Prec@5 78.125 (78.174) Epoch: [49][3650/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 2.0290 (2.0245) Prec@1 45.625 (47.736) Prec@5 81.250 (78.175) Epoch: [49][3660/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.8316 (2.0245) Prec@1 47.500 (47.733) Prec@5 85.000 (78.177) Epoch: [49][3670/11272] Time 0.739 (0.788) Data 0.001 (0.002) Loss 1.8949 (2.0244) Prec@1 48.750 (47.737) Prec@5 81.250 (78.181) Epoch: [49][3680/11272] Time 0.743 (0.788) Data 0.001 (0.002) Loss 2.0459 (2.0245) Prec@1 45.625 (47.734) Prec@5 73.125 (78.177) Epoch: [49][3690/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 2.0150 (2.0245) Prec@1 49.375 (47.732) Prec@5 78.125 (78.172) Epoch: [49][3700/11272] Time 0.725 (0.788) Data 0.003 (0.002) Loss 1.8023 (2.0245) Prec@1 55.625 (47.737) Prec@5 82.500 (78.171) Epoch: [49][3710/11272] Time 0.741 (0.788) Data 0.001 (0.002) Loss 2.3233 (2.0246) Prec@1 41.875 (47.736) Prec@5 75.000 (78.168) Epoch: [49][3720/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.8647 (2.0246) Prec@1 46.875 (47.737) Prec@5 81.250 (78.167) Epoch: [49][3730/11272] Time 0.875 (0.788) Data 0.002 (0.002) Loss 2.0144 (2.0247) Prec@1 47.500 (47.735) Prec@5 78.125 (78.164) Epoch: [49][3740/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 2.1702 (2.0247) Prec@1 38.750 (47.733) Prec@5 77.500 (78.166) Epoch: [49][3750/11272] Time 0.745 (0.788) Data 0.001 (0.002) Loss 2.0724 (2.0247) Prec@1 45.000 (47.737) Prec@5 77.500 (78.166) Epoch: [49][3760/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 2.1971 (2.0250) Prec@1 43.125 (47.731) Prec@5 75.000 (78.161) Epoch: [49][3770/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 2.0669 (2.0250) Prec@1 43.750 (47.733) Prec@5 75.625 (78.163) Epoch: [49][3780/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 2.1112 (2.0251) Prec@1 46.250 (47.729) Prec@5 75.625 (78.164) Epoch: [49][3790/11272] Time 0.722 (0.788) Data 0.001 (0.002) Loss 2.0052 (2.0252) Prec@1 50.000 (47.727) Prec@5 79.375 (78.162) Epoch: [49][3800/11272] Time 0.847 (0.788) Data 0.001 (0.002) Loss 1.9563 (2.0252) Prec@1 50.625 (47.726) Prec@5 77.500 (78.163) Epoch: [49][3810/11272] Time 0.850 (0.788) Data 0.001 (0.002) Loss 2.0775 (2.0254) Prec@1 46.875 (47.721) Prec@5 80.000 (78.163) Epoch: [49][3820/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.9872 (2.0253) Prec@1 46.250 (47.721) Prec@5 80.625 (78.164) Epoch: [49][3830/11272] Time 0.878 (0.788) Data 0.001 (0.002) Loss 1.8472 (2.0255) Prec@1 47.500 (47.719) Prec@5 84.375 (78.163) Epoch: [49][3840/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 2.3464 (2.0255) Prec@1 37.500 (47.717) Prec@5 75.625 (78.164) Epoch: [49][3850/11272] Time 0.737 (0.788) Data 0.001 (0.002) Loss 2.1507 (2.0254) Prec@1 46.250 (47.718) Prec@5 78.750 (78.167) Epoch: [49][3860/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 2.2562 (2.0254) Prec@1 45.625 (47.719) Prec@5 74.375 (78.166) Epoch: [49][3870/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 2.1369 (2.0254) Prec@1 43.750 (47.721) Prec@5 75.000 (78.166) Epoch: [49][3880/11272] Time 0.860 (0.788) Data 0.001 (0.002) Loss 1.9093 (2.0253) Prec@1 49.375 (47.726) Prec@5 80.000 (78.168) Epoch: [49][3890/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 2.1245 (2.0255) Prec@1 45.000 (47.726) Prec@5 75.625 (78.166) Epoch: [49][3900/11272] Time 0.745 (0.788) Data 0.002 (0.002) Loss 2.1513 (2.0256) Prec@1 47.500 (47.727) Prec@5 75.625 (78.166) Epoch: [49][3910/11272] Time 0.852 (0.788) Data 0.001 (0.002) Loss 1.8658 (2.0257) Prec@1 58.125 (47.726) Prec@5 79.375 (78.163) Epoch: [49][3920/11272] Time 0.816 (0.788) Data 0.001 (0.002) Loss 2.1016 (2.0257) Prec@1 46.875 (47.727) Prec@5 78.750 (78.162) Epoch: [49][3930/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.0429 (2.0258) Prec@1 46.250 (47.726) Prec@5 80.625 (78.163) Epoch: [49][3940/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 1.8953 (2.0259) Prec@1 47.500 (47.726) Prec@5 83.125 (78.160) Epoch: [49][3950/11272] Time 0.832 (0.788) Data 0.001 (0.002) Loss 2.3770 (2.0259) Prec@1 39.375 (47.723) Prec@5 68.125 (78.159) Epoch: [49][3960/11272] Time 0.745 (0.788) Data 0.003 (0.002) Loss 2.3508 (2.0258) Prec@1 44.375 (47.723) Prec@5 66.875 (78.162) Epoch: [49][3970/11272] Time 0.739 (0.788) Data 0.002 (0.002) Loss 1.9959 (2.0259) Prec@1 46.250 (47.721) Prec@5 77.500 (78.161) Epoch: [49][3980/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 2.2114 (2.0259) Prec@1 44.375 (47.716) Prec@5 74.375 (78.159) Epoch: [49][3990/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 2.1888 (2.0259) Prec@1 46.250 (47.718) Prec@5 75.625 (78.159) Epoch: [49][4000/11272] Time 0.750 (0.788) Data 0.003 (0.002) Loss 2.2054 (2.0261) Prec@1 44.375 (47.713) Prec@5 73.750 (78.157) Epoch: [49][4010/11272] Time 0.711 (0.788) Data 0.001 (0.002) Loss 1.9462 (2.0262) Prec@1 46.250 (47.711) Prec@5 79.375 (78.156) Epoch: [49][4020/11272] Time 0.906 (0.788) Data 0.002 (0.002) Loss 1.9130 (2.0262) Prec@1 49.375 (47.713) Prec@5 83.750 (78.159) Epoch: [49][4030/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 2.1268 (2.0263) Prec@1 45.625 (47.709) Prec@5 75.000 (78.155) Epoch: [49][4040/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 1.7870 (2.0263) Prec@1 48.125 (47.705) Prec@5 86.250 (78.157) Epoch: [49][4050/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 2.2260 (2.0264) Prec@1 40.000 (47.707) Prec@5 76.250 (78.157) Epoch: [49][4060/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 2.0611 (2.0264) Prec@1 46.250 (47.703) Prec@5 77.500 (78.158) Epoch: [49][4070/11272] Time 0.863 (0.788) Data 0.002 (0.002) Loss 1.9693 (2.0265) Prec@1 48.125 (47.697) Prec@5 82.500 (78.157) Epoch: [49][4080/11272] Time 0.726 (0.788) Data 0.001 (0.002) Loss 2.0615 (2.0266) Prec@1 48.750 (47.693) Prec@5 76.250 (78.157) Epoch: [49][4090/11272] Time 0.840 (0.788) Data 0.002 (0.002) Loss 1.8490 (2.0267) Prec@1 53.125 (47.693) Prec@5 81.250 (78.156) Epoch: [49][4100/11272] Time 0.832 (0.788) Data 0.001 (0.002) Loss 2.1597 (2.0271) Prec@1 42.500 (47.686) Prec@5 77.500 (78.148) Epoch: [49][4110/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9267 (2.0271) Prec@1 53.125 (47.687) Prec@5 78.125 (78.147) Epoch: [49][4120/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.7889 (2.0270) Prec@1 51.875 (47.689) Prec@5 80.625 (78.150) Epoch: [49][4130/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.1273 (2.0269) Prec@1 49.375 (47.692) Prec@5 74.375 (78.154) Epoch: [49][4140/11272] Time 0.876 (0.787) Data 0.002 (0.002) Loss 2.1237 (2.0270) Prec@1 47.500 (47.691) Prec@5 76.250 (78.152) Epoch: [49][4150/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.1262 (2.0270) Prec@1 41.875 (47.690) Prec@5 81.875 (78.154) Epoch: [49][4160/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.3804 (2.0272) Prec@1 36.250 (47.684) Prec@5 71.875 (78.150) Epoch: [49][4170/11272] Time 0.796 (0.787) Data 0.001 (0.002) Loss 1.8998 (2.0271) Prec@1 48.750 (47.685) Prec@5 78.750 (78.150) Epoch: [49][4180/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 2.1851 (2.0271) Prec@1 45.000 (47.685) Prec@5 75.000 (78.150) Epoch: [49][4190/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.8824 (2.0273) Prec@1 50.625 (47.683) Prec@5 83.125 (78.147) Epoch: [49][4200/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 2.2422 (2.0275) Prec@1 44.375 (47.680) Prec@5 72.500 (78.146) Epoch: [49][4210/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 2.0295 (2.0275) Prec@1 41.875 (47.675) Prec@5 78.750 (78.148) Epoch: [49][4220/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.9998 (2.0273) Prec@1 46.875 (47.681) Prec@5 78.125 (78.152) Epoch: [49][4230/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 2.1067 (2.0273) Prec@1 39.375 (47.676) Prec@5 79.375 (78.149) Epoch: [49][4240/11272] Time 0.824 (0.788) Data 0.000 (0.002) Loss 2.0018 (2.0273) Prec@1 43.125 (47.672) Prec@5 80.000 (78.151) Epoch: [49][4250/11272] Time 0.854 (0.788) Data 0.001 (0.002) Loss 1.9485 (2.0275) Prec@1 47.500 (47.672) Prec@5 78.125 (78.150) Epoch: [49][4260/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.8962 (2.0276) Prec@1 51.875 (47.669) Prec@5 78.125 (78.146) Epoch: [49][4270/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 2.1669 (2.0276) Prec@1 48.125 (47.666) Prec@5 73.750 (78.145) Epoch: [49][4280/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.8931 (2.0276) Prec@1 56.875 (47.670) Prec@5 76.250 (78.144) Epoch: [49][4290/11272] Time 0.848 (0.788) Data 0.001 (0.002) Loss 2.0577 (2.0277) Prec@1 45.000 (47.662) Prec@5 79.375 (78.143) Epoch: [49][4300/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.0802 (2.0278) Prec@1 48.750 (47.659) Prec@5 77.500 (78.140) Epoch: [49][4310/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.1994 (2.0278) Prec@1 41.250 (47.657) Prec@5 75.625 (78.140) Epoch: [49][4320/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.9990 (2.0279) Prec@1 50.625 (47.659) Prec@5 80.625 (78.142) Epoch: [49][4330/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.9716 (2.0281) Prec@1 46.250 (47.656) Prec@5 80.625 (78.138) Epoch: [49][4340/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 2.1500 (2.0280) Prec@1 47.500 (47.658) Prec@5 75.000 (78.141) Epoch: [49][4350/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0656 (2.0279) Prec@1 47.500 (47.660) Prec@5 80.625 (78.142) Epoch: [49][4360/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 2.2105 (2.0279) Prec@1 45.000 (47.661) Prec@5 73.750 (78.141) Epoch: [49][4370/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.9104 (2.0279) Prec@1 49.375 (47.662) Prec@5 81.875 (78.141) Epoch: [49][4380/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.8228 (2.0277) Prec@1 51.875 (47.662) Prec@5 81.250 (78.141) Epoch: [49][4390/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 2.1445 (2.0277) Prec@1 46.250 (47.662) Prec@5 75.625 (78.141) Epoch: [49][4400/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0414 (2.0278) Prec@1 50.000 (47.662) Prec@5 76.250 (78.140) Epoch: [49][4410/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.1032 (2.0278) Prec@1 45.000 (47.660) Prec@5 75.625 (78.138) Epoch: [49][4420/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 1.8366 (2.0279) Prec@1 48.125 (47.657) Prec@5 80.625 (78.140) Epoch: [49][4430/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.2087 (2.0279) Prec@1 48.125 (47.658) Prec@5 74.375 (78.140) Epoch: [49][4440/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.1212 (2.0278) Prec@1 43.750 (47.658) Prec@5 79.375 (78.140) Epoch: [49][4450/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.0026 (2.0278) Prec@1 43.125 (47.657) Prec@5 76.875 (78.141) Epoch: [49][4460/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.9861 (2.0279) Prec@1 49.375 (47.653) Prec@5 77.500 (78.140) Epoch: [49][4470/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 2.1292 (2.0278) Prec@1 50.000 (47.656) Prec@5 76.875 (78.141) Epoch: [49][4480/11272] Time 0.786 (0.787) Data 0.001 (0.002) Loss 2.0029 (2.0278) Prec@1 46.250 (47.653) Prec@5 76.250 (78.140) Epoch: [49][4490/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.9880 (2.0278) Prec@1 51.875 (47.656) Prec@5 76.875 (78.141) Epoch: [49][4500/11272] Time 0.800 (0.787) Data 0.001 (0.002) Loss 1.9529 (2.0278) Prec@1 55.000 (47.658) Prec@5 81.250 (78.142) Epoch: [49][4510/11272] Time 0.803 (0.787) Data 0.001 (0.002) Loss 2.0944 (2.0277) Prec@1 43.125 (47.660) Prec@5 82.500 (78.144) Epoch: [49][4520/11272] Time 0.755 (0.787) Data 0.001 (0.002) Loss 2.2732 (2.0279) Prec@1 41.875 (47.660) Prec@5 76.250 (78.140) Epoch: [49][4530/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 2.0237 (2.0278) Prec@1 44.375 (47.662) Prec@5 78.125 (78.144) Epoch: [49][4540/11272] Time 0.895 (0.787) Data 0.002 (0.002) Loss 2.3350 (2.0279) Prec@1 41.250 (47.660) Prec@5 72.500 (78.142) Epoch: [49][4550/11272] Time 0.867 (0.787) Data 0.002 (0.002) Loss 2.0932 (2.0280) Prec@1 46.875 (47.659) Prec@5 76.250 (78.138) Epoch: [49][4560/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.9798 (2.0281) Prec@1 47.500 (47.658) Prec@5 78.750 (78.135) Epoch: [49][4570/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.0284 (2.0282) Prec@1 46.250 (47.655) Prec@5 79.375 (78.135) Epoch: [49][4580/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 2.1843 (2.0283) Prec@1 48.125 (47.657) Prec@5 73.125 (78.132) Epoch: [49][4590/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 2.1065 (2.0284) Prec@1 46.250 (47.658) Prec@5 75.000 (78.126) Epoch: [49][4600/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0072 (2.0285) Prec@1 46.875 (47.655) Prec@5 78.750 (78.123) Epoch: [49][4610/11272] Time 0.767 (0.787) Data 0.001 (0.002) Loss 2.0761 (2.0286) Prec@1 41.875 (47.655) Prec@5 73.125 (78.119) Epoch: [49][4620/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 2.1020 (2.0286) Prec@1 45.000 (47.657) Prec@5 79.375 (78.118) Epoch: [49][4630/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 2.2714 (2.0288) Prec@1 43.125 (47.650) Prec@5 76.250 (78.115) Epoch: [49][4640/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.9425 (2.0288) Prec@1 47.500 (47.651) Prec@5 81.875 (78.117) Epoch: [49][4650/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 2.0159 (2.0287) Prec@1 53.125 (47.656) Prec@5 78.125 (78.119) Epoch: [49][4660/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 2.0045 (2.0286) Prec@1 53.125 (47.658) Prec@5 80.625 (78.123) Epoch: [49][4670/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.1290 (2.0285) Prec@1 46.875 (47.659) Prec@5 73.750 (78.123) Epoch: [49][4680/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.1223 (2.0286) Prec@1 41.875 (47.654) Prec@5 78.125 (78.121) Epoch: [49][4690/11272] Time 0.787 (0.787) Data 0.001 (0.002) Loss 1.9723 (2.0286) Prec@1 50.625 (47.658) Prec@5 77.500 (78.123) Epoch: [49][4700/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.9706 (2.0286) Prec@1 51.250 (47.658) Prec@5 78.125 (78.121) Epoch: [49][4710/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 2.0186 (2.0287) Prec@1 48.750 (47.658) Prec@5 83.125 (78.120) Epoch: [49][4720/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 2.0918 (2.0287) Prec@1 49.375 (47.658) Prec@5 78.750 (78.119) Epoch: [49][4730/11272] Time 0.856 (0.787) Data 0.001 (0.002) Loss 1.9401 (2.0287) Prec@1 49.375 (47.658) Prec@5 76.875 (78.120) Epoch: [49][4740/11272] Time 0.801 (0.787) Data 0.001 (0.002) Loss 1.7236 (2.0288) Prec@1 54.375 (47.658) Prec@5 82.500 (78.117) Epoch: [49][4750/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 2.0019 (2.0288) Prec@1 49.375 (47.658) Prec@5 76.250 (78.117) Epoch: [49][4760/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 2.1344 (2.0289) Prec@1 46.875 (47.657) Prec@5 76.250 (78.113) Epoch: [49][4770/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 2.2277 (2.0290) Prec@1 47.500 (47.655) Prec@5 73.750 (78.111) Epoch: [49][4780/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 2.1774 (2.0291) Prec@1 45.625 (47.654) Prec@5 75.000 (78.110) Epoch: [49][4790/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.3784 (2.0293) Prec@1 45.000 (47.654) Prec@5 70.625 (78.105) Epoch: [49][4800/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 2.0800 (2.0292) Prec@1 43.750 (47.656) Prec@5 76.250 (78.106) Epoch: [49][4810/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.8527 (2.0291) Prec@1 51.875 (47.658) Prec@5 78.750 (78.110) Epoch: [49][4820/11272] Time 0.763 (0.787) Data 0.001 (0.002) Loss 2.0431 (2.0291) Prec@1 47.500 (47.658) Prec@5 78.125 (78.107) Epoch: [49][4830/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 2.0465 (2.0291) Prec@1 45.000 (47.657) Prec@5 82.500 (78.110) Epoch: [49][4840/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 2.1443 (2.0291) Prec@1 41.250 (47.655) Prec@5 77.500 (78.112) Epoch: [49][4850/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.9966 (2.0292) Prec@1 46.875 (47.656) Prec@5 81.875 (78.111) Epoch: [49][4860/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.0484 (2.0291) Prec@1 50.625 (47.656) Prec@5 75.000 (78.108) Epoch: [49][4870/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.9726 (2.0292) Prec@1 44.375 (47.654) Prec@5 80.625 (78.107) Epoch: [49][4880/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.9924 (2.0292) Prec@1 51.250 (47.653) Prec@5 81.250 (78.108) Epoch: [49][4890/11272] Time 0.721 (0.787) Data 0.003 (0.002) Loss 1.8539 (2.0292) Prec@1 48.750 (47.651) Prec@5 83.750 (78.110) Epoch: [49][4900/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 2.2389 (2.0293) Prec@1 44.375 (47.649) Prec@5 73.750 (78.108) Epoch: [49][4910/11272] Time 0.866 (0.787) Data 0.002 (0.002) Loss 2.1876 (2.0293) Prec@1 43.750 (47.647) Prec@5 75.000 (78.108) Epoch: [49][4920/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.0373 (2.0294) Prec@1 46.875 (47.646) Prec@5 78.125 (78.107) Epoch: [49][4930/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0304 (2.0292) Prec@1 50.000 (47.650) Prec@5 76.875 (78.111) Epoch: [49][4940/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.7515 (2.0291) Prec@1 55.000 (47.652) Prec@5 81.875 (78.113) Epoch: [49][4950/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.0498 (2.0293) Prec@1 48.125 (47.647) Prec@5 76.250 (78.110) Epoch: [49][4960/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.2019 (2.0292) Prec@1 45.625 (47.652) Prec@5 71.875 (78.113) Epoch: [49][4970/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 1.8441 (2.0291) Prec@1 49.375 (47.654) Prec@5 80.625 (78.114) Epoch: [49][4980/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.1503 (2.0292) Prec@1 45.000 (47.655) Prec@5 73.750 (78.112) Epoch: [49][4990/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.7842 (2.0291) Prec@1 55.625 (47.655) Prec@5 80.625 (78.115) Epoch: [49][5000/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 1.9098 (2.0293) Prec@1 47.500 (47.650) Prec@5 80.000 (78.109) Epoch: [49][5010/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9491 (2.0292) Prec@1 49.375 (47.653) Prec@5 81.875 (78.110) Epoch: [49][5020/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.8655 (2.0291) Prec@1 46.250 (47.652) Prec@5 82.500 (78.113) Epoch: [49][5030/11272] Time 0.844 (0.787) Data 0.002 (0.002) Loss 2.1089 (2.0293) Prec@1 41.875 (47.647) Prec@5 76.250 (78.110) Epoch: [49][5040/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8481 (2.0292) Prec@1 50.625 (47.647) Prec@5 83.125 (78.111) Epoch: [49][5050/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.1967 (2.0293) Prec@1 41.250 (47.645) Prec@5 74.375 (78.110) Epoch: [49][5060/11272] Time 0.811 (0.787) Data 0.001 (0.002) Loss 2.1808 (2.0293) Prec@1 41.250 (47.643) Prec@5 74.375 (78.109) Epoch: [49][5070/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0461 (2.0294) Prec@1 46.875 (47.645) Prec@5 78.750 (78.106) Epoch: [49][5080/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 2.3925 (2.0294) Prec@1 40.625 (47.646) Prec@5 70.625 (78.103) Epoch: [49][5090/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.8337 (2.0293) Prec@1 51.875 (47.650) Prec@5 79.375 (78.104) Epoch: [49][5100/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 1.7706 (2.0292) Prec@1 55.000 (47.649) Prec@5 82.500 (78.106) Epoch: [49][5110/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.0680 (2.0292) Prec@1 46.875 (47.653) Prec@5 82.500 (78.106) Epoch: [49][5120/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.9812 (2.0291) Prec@1 46.250 (47.654) Prec@5 80.625 (78.108) Epoch: [49][5130/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 1.7552 (2.0291) Prec@1 52.500 (47.654) Prec@5 83.750 (78.109) Epoch: [49][5140/11272] Time 0.856 (0.787) Data 0.001 (0.002) Loss 1.9095 (2.0291) Prec@1 52.500 (47.650) Prec@5 81.875 (78.110) Epoch: [49][5150/11272] Time 0.858 (0.787) Data 0.001 (0.002) Loss 1.9030 (2.0291) Prec@1 49.375 (47.649) Prec@5 79.375 (78.107) Epoch: [49][5160/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 2.1016 (2.0292) Prec@1 46.250 (47.648) Prec@5 78.125 (78.106) Epoch: [49][5170/11272] Time 0.889 (0.787) Data 0.001 (0.002) Loss 1.7178 (2.0292) Prec@1 53.750 (47.651) Prec@5 82.500 (78.105) Epoch: [49][5180/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.9914 (2.0292) Prec@1 52.500 (47.654) Prec@5 76.875 (78.106) Epoch: [49][5190/11272] Time 0.751 (0.787) Data 0.001 (0.002) Loss 1.8789 (2.0292) Prec@1 53.125 (47.654) Prec@5 80.625 (78.104) Epoch: [49][5200/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.8798 (2.0292) Prec@1 50.625 (47.654) Prec@5 78.750 (78.105) Epoch: [49][5210/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.9445 (2.0291) Prec@1 51.875 (47.659) Prec@5 77.500 (78.105) Epoch: [49][5220/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 2.1927 (2.0291) Prec@1 45.625 (47.657) Prec@5 77.500 (78.104) Epoch: [49][5230/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 2.1838 (2.0291) Prec@1 43.750 (47.657) Prec@5 75.625 (78.105) Epoch: [49][5240/11272] Time 0.788 (0.787) Data 0.001 (0.002) Loss 1.9361 (2.0292) Prec@1 48.125 (47.657) Prec@5 82.500 (78.102) Epoch: [49][5250/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.1925 (2.0292) Prec@1 47.500 (47.656) Prec@5 75.625 (78.102) Epoch: [49][5260/11272] Time 0.798 (0.787) Data 0.001 (0.002) Loss 1.9777 (2.0293) Prec@1 47.500 (47.654) Prec@5 77.500 (78.098) Epoch: [49][5270/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0252 (2.0292) Prec@1 49.375 (47.658) Prec@5 75.000 (78.102) Epoch: [49][5280/11272] Time 0.733 (0.787) Data 0.002 (0.002) Loss 2.0220 (2.0292) Prec@1 48.750 (47.658) Prec@5 77.500 (78.102) Epoch: [49][5290/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.1398 (2.0291) Prec@1 48.125 (47.662) Prec@5 74.375 (78.105) Epoch: [49][5300/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 2.2374 (2.0292) Prec@1 41.875 (47.658) Prec@5 73.750 (78.103) Epoch: [49][5310/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.1871 (2.0293) Prec@1 39.375 (47.654) Prec@5 76.875 (78.100) Epoch: [49][5320/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.7333 (2.0292) Prec@1 53.750 (47.656) Prec@5 81.250 (78.102) Epoch: [49][5330/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 2.0797 (2.0292) Prec@1 41.250 (47.653) Prec@5 77.500 (78.100) Epoch: [49][5340/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.8865 (2.0292) Prec@1 49.375 (47.657) Prec@5 78.750 (78.099) Epoch: [49][5350/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.1326 (2.0291) Prec@1 45.000 (47.658) Prec@5 76.250 (78.099) Epoch: [49][5360/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.7373 (2.0290) Prec@1 54.375 (47.662) Prec@5 85.000 (78.101) Epoch: [49][5370/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 2.3334 (2.0291) Prec@1 40.625 (47.662) Prec@5 73.125 (78.101) Epoch: [49][5380/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 2.1569 (2.0293) Prec@1 41.250 (47.657) Prec@5 74.375 (78.096) Epoch: [49][5390/11272] Time 0.768 (0.787) Data 0.001 (0.002) Loss 2.1345 (2.0295) Prec@1 48.125 (47.654) Prec@5 74.375 (78.092) Epoch: [49][5400/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 2.0714 (2.0295) Prec@1 42.500 (47.650) Prec@5 80.000 (78.092) Epoch: [49][5410/11272] Time 0.884 (0.787) Data 0.002 (0.002) Loss 1.7820 (2.0294) Prec@1 48.750 (47.649) Prec@5 83.750 (78.094) Epoch: [49][5420/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8679 (2.0293) Prec@1 50.625 (47.648) Prec@5 85.625 (78.096) Epoch: [49][5430/11272] Time 0.883 (0.787) Data 0.001 (0.002) Loss 2.2927 (2.0295) Prec@1 39.375 (47.644) Prec@5 68.125 (78.091) Epoch: [49][5440/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 2.2308 (2.0295) Prec@1 45.625 (47.643) Prec@5 75.625 (78.093) Epoch: [49][5450/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 1.9022 (2.0294) Prec@1 44.375 (47.646) Prec@5 80.000 (78.096) Epoch: [49][5460/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.9499 (2.0294) Prec@1 46.875 (47.643) Prec@5 83.125 (78.095) Epoch: [49][5470/11272] Time 0.807 (0.787) Data 0.001 (0.002) Loss 2.1358 (2.0295) Prec@1 46.875 (47.643) Prec@5 73.125 (78.092) Epoch: [49][5480/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 1.9631 (2.0295) Prec@1 50.625 (47.647) Prec@5 77.500 (78.093) Epoch: [49][5490/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 2.3085 (2.0296) Prec@1 38.750 (47.647) Prec@5 70.000 (78.091) Epoch: [49][5500/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.0067 (2.0295) Prec@1 50.000 (47.649) Prec@5 79.375 (78.092) Epoch: [49][5510/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.9385 (2.0296) Prec@1 52.500 (47.646) Prec@5 78.750 (78.093) Epoch: [49][5520/11272] Time 0.848 (0.787) Data 0.003 (0.002) Loss 1.9730 (2.0295) Prec@1 46.250 (47.647) Prec@5 78.125 (78.093) Epoch: [49][5530/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.3606 (2.0296) Prec@1 38.125 (47.642) Prec@5 70.000 (78.095) Epoch: [49][5540/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 2.1293 (2.0296) Prec@1 46.875 (47.641) Prec@5 75.625 (78.092) Epoch: [49][5550/11272] Time 0.847 (0.787) Data 0.002 (0.002) Loss 2.0639 (2.0295) Prec@1 40.625 (47.641) Prec@5 78.750 (78.094) Epoch: [49][5560/11272] Time 0.729 (0.787) Data 0.003 (0.002) Loss 2.1986 (2.0294) Prec@1 43.750 (47.643) Prec@5 73.125 (78.095) Epoch: [49][5570/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.0733 (2.0294) Prec@1 43.750 (47.642) Prec@5 78.750 (78.095) Epoch: [49][5580/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.9724 (2.0294) Prec@1 49.375 (47.641) Prec@5 76.875 (78.096) Epoch: [49][5590/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 2.1813 (2.0294) Prec@1 45.625 (47.643) Prec@5 74.375 (78.097) Epoch: [49][5600/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 2.0712 (2.0295) Prec@1 52.500 (47.642) Prec@5 81.250 (78.100) Epoch: [49][5610/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.3758 (2.0296) Prec@1 44.375 (47.640) Prec@5 73.125 (78.099) Epoch: [49][5620/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 2.0184 (2.0296) Prec@1 48.125 (47.641) Prec@5 81.250 (78.100) Epoch: [49][5630/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.8311 (2.0295) Prec@1 54.375 (47.642) Prec@5 84.375 (78.102) Epoch: [49][5640/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 2.1611 (2.0296) Prec@1 45.625 (47.639) Prec@5 73.125 (78.100) Epoch: [49][5650/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.9920 (2.0296) Prec@1 50.000 (47.640) Prec@5 79.375 (78.102) Epoch: [49][5660/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.9466 (2.0297) Prec@1 48.750 (47.639) Prec@5 81.250 (78.101) Epoch: [49][5670/11272] Time 0.859 (0.787) Data 0.001 (0.002) Loss 1.8766 (2.0297) Prec@1 51.250 (47.637) Prec@5 79.375 (78.100) Epoch: [49][5680/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 2.0737 (2.0297) Prec@1 43.125 (47.636) Prec@5 77.500 (78.100) Epoch: [49][5690/11272] Time 0.809 (0.787) Data 0.001 (0.002) Loss 2.3234 (2.0297) Prec@1 41.250 (47.634) Prec@5 73.125 (78.101) Epoch: [49][5700/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.0776 (2.0298) Prec@1 43.750 (47.633) Prec@5 78.125 (78.100) Epoch: [49][5710/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 2.0062 (2.0298) Prec@1 51.250 (47.632) Prec@5 79.375 (78.099) Epoch: [49][5720/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.1407 (2.0297) Prec@1 45.625 (47.635) Prec@5 76.875 (78.101) Epoch: [49][5730/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 2.0704 (2.0298) Prec@1 45.625 (47.631) Prec@5 75.625 (78.099) Epoch: [49][5740/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.2898 (2.0299) Prec@1 40.000 (47.628) Prec@5 72.500 (78.097) Epoch: [49][5750/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.0291 (2.0299) Prec@1 51.875 (47.631) Prec@5 77.500 (78.096) Epoch: [49][5760/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.8389 (2.0298) Prec@1 49.375 (47.630) Prec@5 81.875 (78.098) Epoch: [49][5770/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 2.0056 (2.0298) Prec@1 47.500 (47.629) Prec@5 80.000 (78.098) Epoch: [49][5780/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 1.8871 (2.0297) Prec@1 46.250 (47.627) Prec@5 80.625 (78.101) Epoch: [49][5790/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.9366 (2.0298) Prec@1 45.625 (47.625) Prec@5 81.250 (78.101) Epoch: [49][5800/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.9102 (2.0299) Prec@1 46.875 (47.625) Prec@5 80.000 (78.100) Epoch: [49][5810/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 2.0819 (2.0300) Prec@1 44.375 (47.622) Prec@5 76.875 (78.097) Epoch: [49][5820/11272] Time 0.756 (0.787) Data 0.004 (0.002) Loss 2.3442 (2.0300) Prec@1 41.875 (47.620) Prec@5 75.625 (78.097) Epoch: [49][5830/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.9595 (2.0300) Prec@1 52.500 (47.620) Prec@5 76.875 (78.097) Epoch: [49][5840/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 2.0666 (2.0301) Prec@1 47.500 (47.619) Prec@5 75.625 (78.097) Epoch: [49][5850/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 2.2587 (2.0302) Prec@1 43.750 (47.619) Prec@5 73.750 (78.095) Epoch: [49][5860/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.7872 (2.0301) Prec@1 51.250 (47.621) Prec@5 80.000 (78.094) Epoch: [49][5870/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.1512 (2.0302) Prec@1 40.625 (47.621) Prec@5 77.500 (78.096) Epoch: [49][5880/11272] Time 0.858 (0.787) Data 0.001 (0.002) Loss 2.3223 (2.0302) Prec@1 41.250 (47.621) Prec@5 74.375 (78.095) Epoch: [49][5890/11272] Time 0.859 (0.787) Data 0.001 (0.002) Loss 2.4477 (2.0305) Prec@1 37.500 (47.616) Prec@5 68.750 (78.090) Epoch: [49][5900/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.9787 (2.0304) Prec@1 49.375 (47.616) Prec@5 79.375 (78.092) Epoch: [49][5910/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 1.8477 (2.0303) Prec@1 51.875 (47.619) Prec@5 80.000 (78.094) Epoch: [49][5920/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.1127 (2.0303) Prec@1 45.625 (47.618) Prec@5 74.375 (78.093) Epoch: [49][5930/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.2244 (2.0304) Prec@1 44.375 (47.619) Prec@5 71.250 (78.092) Epoch: [49][5940/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 2.0028 (2.0303) Prec@1 45.000 (47.619) Prec@5 78.750 (78.094) Epoch: [49][5950/11272] Time 0.859 (0.787) Data 0.001 (0.002) Loss 1.9765 (2.0303) Prec@1 48.125 (47.617) Prec@5 78.125 (78.094) Epoch: [49][5960/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.3907 (2.0303) Prec@1 38.125 (47.616) Prec@5 70.000 (78.094) Epoch: [49][5970/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 2.0093 (2.0304) Prec@1 48.125 (47.615) Prec@5 78.125 (78.093) Epoch: [49][5980/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 2.3389 (2.0305) Prec@1 42.500 (47.613) Prec@5 70.000 (78.092) Epoch: [49][5990/11272] Time 0.848 (0.787) Data 0.001 (0.002) Loss 1.8294 (2.0304) Prec@1 51.250 (47.612) Prec@5 82.500 (78.093) Epoch: [49][6000/11272] Time 0.846 (0.787) Data 0.001 (0.002) Loss 1.8779 (2.0305) Prec@1 52.500 (47.608) Prec@5 79.375 (78.093) Epoch: [49][6010/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 2.2349 (2.0306) Prec@1 50.625 (47.607) Prec@5 76.250 (78.092) Epoch: [49][6020/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1413 (2.0306) Prec@1 45.000 (47.607) Prec@5 80.625 (78.093) Epoch: [49][6030/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.8638 (2.0305) Prec@1 54.375 (47.609) Prec@5 78.125 (78.093) Epoch: [49][6040/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 2.3563 (2.0306) Prec@1 40.625 (47.607) Prec@5 75.625 (78.092) Epoch: [49][6050/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.0906 (2.0307) Prec@1 41.250 (47.603) Prec@5 80.000 (78.091) Epoch: [49][6060/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 2.1275 (2.0307) Prec@1 47.500 (47.603) Prec@5 78.125 (78.093) Epoch: [49][6070/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 2.0516 (2.0308) Prec@1 48.125 (47.601) Prec@5 78.750 (78.093) Epoch: [49][6080/11272] Time 0.826 (0.787) Data 0.002 (0.002) Loss 1.9571 (2.0308) Prec@1 48.750 (47.600) Prec@5 79.375 (78.092) Epoch: [49][6090/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.1290 (2.0308) Prec@1 47.500 (47.597) Prec@5 77.500 (78.091) Epoch: [49][6100/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.9837 (2.0309) Prec@1 46.875 (47.596) Prec@5 76.875 (78.090) Epoch: [49][6110/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 2.0056 (2.0308) Prec@1 45.000 (47.595) Prec@5 78.750 (78.094) Epoch: [49][6120/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 1.8923 (2.0308) Prec@1 48.750 (47.598) Prec@5 83.125 (78.093) Epoch: [49][6130/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.8617 (2.0308) Prec@1 54.375 (47.600) Prec@5 79.375 (78.093) Epoch: [49][6140/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.0576 (2.0308) Prec@1 46.875 (47.600) Prec@5 78.125 (78.093) Epoch: [49][6150/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.1523 (2.0308) Prec@1 48.125 (47.600) Prec@5 71.875 (78.095) Epoch: [49][6160/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.8947 (2.0307) Prec@1 46.875 (47.602) Prec@5 81.875 (78.095) Epoch: [49][6170/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.0965 (2.0308) Prec@1 43.750 (47.599) Prec@5 77.500 (78.094) Epoch: [49][6180/11272] Time 0.857 (0.787) Data 0.001 (0.002) Loss 1.6766 (2.0307) Prec@1 56.250 (47.599) Prec@5 85.625 (78.097) Epoch: [49][6190/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 2.1226 (2.0308) Prec@1 46.875 (47.596) Prec@5 74.375 (78.094) Epoch: [49][6200/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.4040 (2.0309) Prec@1 41.250 (47.593) Prec@5 73.125 (78.091) Epoch: [49][6210/11272] Time 0.742 (0.787) Data 0.002 (0.002) Loss 1.8946 (2.0310) Prec@1 49.375 (47.593) Prec@5 80.000 (78.089) Epoch: [49][6220/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 2.1244 (2.0311) Prec@1 45.625 (47.591) Prec@5 80.000 (78.089) Epoch: [49][6230/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.9423 (2.0310) Prec@1 54.375 (47.595) Prec@5 78.750 (78.091) Epoch: [49][6240/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.9327 (2.0310) Prec@1 49.375 (47.595) Prec@5 76.250 (78.090) Epoch: [49][6250/11272] Time 0.881 (0.787) Data 0.002 (0.002) Loss 1.8984 (2.0308) Prec@1 54.375 (47.599) Prec@5 75.000 (78.092) Epoch: [49][6260/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.2370 (2.0308) Prec@1 41.875 (47.597) Prec@5 75.000 (78.094) Epoch: [49][6270/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 2.1654 (2.0309) Prec@1 48.125 (47.596) Prec@5 73.750 (78.092) Epoch: [49][6280/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 2.0755 (2.0310) Prec@1 46.875 (47.595) Prec@5 76.250 (78.091) Epoch: [49][6290/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 1.9675 (2.0310) Prec@1 51.875 (47.595) Prec@5 78.125 (78.090) Epoch: [49][6300/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.9726 (2.0310) Prec@1 45.000 (47.590) Prec@5 79.375 (78.090) Epoch: [49][6310/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9373 (2.0311) Prec@1 49.375 (47.589) Prec@5 81.250 (78.090) Epoch: [49][6320/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 1.8337 (2.0311) Prec@1 51.875 (47.588) Prec@5 79.375 (78.089) Epoch: [49][6330/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.9435 (2.0312) Prec@1 48.125 (47.586) Prec@5 79.375 (78.089) Epoch: [49][6340/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 2.0401 (2.0311) Prec@1 45.625 (47.586) Prec@5 76.875 (78.089) Epoch: [49][6350/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 1.9991 (2.0311) Prec@1 46.875 (47.587) Prec@5 79.375 (78.090) Epoch: [49][6360/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 1.9249 (2.0311) Prec@1 47.500 (47.586) Prec@5 81.250 (78.088) Epoch: [49][6370/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 2.0692 (2.0312) Prec@1 47.500 (47.587) Prec@5 79.375 (78.090) Epoch: [49][6380/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 1.8701 (2.0311) Prec@1 50.000 (47.587) Prec@5 80.625 (78.092) Epoch: [49][6390/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.2017 (2.0312) Prec@1 45.000 (47.586) Prec@5 73.750 (78.091) Epoch: [49][6400/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0748 (2.0312) Prec@1 43.750 (47.587) Prec@5 77.500 (78.091) Epoch: [49][6410/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.9739 (2.0313) Prec@1 51.250 (47.589) Prec@5 75.000 (78.090) Epoch: [49][6420/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.3377 (2.0314) Prec@1 45.000 (47.588) Prec@5 73.125 (78.088) Epoch: [49][6430/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.9908 (2.0314) Prec@1 48.750 (47.586) Prec@5 74.375 (78.088) Epoch: [49][6440/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.0835 (2.0313) Prec@1 51.250 (47.589) Prec@5 75.625 (78.089) Epoch: [49][6450/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.0971 (2.0313) Prec@1 45.625 (47.588) Prec@5 74.375 (78.088) Epoch: [49][6460/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 2.0495 (2.0316) Prec@1 50.625 (47.583) Prec@5 79.375 (78.084) Epoch: [49][6470/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 1.6602 (2.0315) Prec@1 57.500 (47.586) Prec@5 81.250 (78.086) Epoch: [49][6480/11272] Time 0.858 (0.787) Data 0.001 (0.002) Loss 2.1051 (2.0316) Prec@1 46.875 (47.583) Prec@5 77.500 (78.084) Epoch: [49][6490/11272] Time 0.736 (0.787) Data 0.003 (0.002) Loss 2.1002 (2.0316) Prec@1 48.750 (47.583) Prec@5 75.000 (78.084) Epoch: [49][6500/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 2.0412 (2.0316) Prec@1 47.500 (47.579) Prec@5 78.125 (78.083) Epoch: [49][6510/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 2.2625 (2.0317) Prec@1 43.125 (47.577) Prec@5 70.625 (78.082) Epoch: [49][6520/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 1.8969 (2.0318) Prec@1 45.000 (47.575) Prec@5 83.125 (78.081) Epoch: [49][6530/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 2.1155 (2.0318) Prec@1 46.250 (47.576) Prec@5 75.000 (78.082) Epoch: [49][6540/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0979 (2.0318) Prec@1 50.625 (47.577) Prec@5 75.000 (78.081) Epoch: [49][6550/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.7715 (2.0318) Prec@1 54.375 (47.579) Prec@5 82.500 (78.081) Epoch: [49][6560/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.2060 (2.0318) Prec@1 47.500 (47.579) Prec@5 71.875 (78.080) Epoch: [49][6570/11272] Time 0.766 (0.787) Data 0.002 (0.002) Loss 2.2129 (2.0320) Prec@1 43.750 (47.575) Prec@5 73.125 (78.077) Epoch: [49][6580/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 2.1452 (2.0319) Prec@1 44.375 (47.574) Prec@5 75.625 (78.078) Epoch: [49][6590/11272] Time 0.889 (0.787) Data 0.002 (0.002) Loss 1.9440 (2.0319) Prec@1 47.500 (47.572) Prec@5 78.125 (78.078) Epoch: [49][6600/11272] Time 0.856 (0.787) Data 0.001 (0.002) Loss 2.2581 (2.0320) Prec@1 44.375 (47.571) Prec@5 71.875 (78.075) Epoch: [49][6610/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 2.2425 (2.0320) Prec@1 37.500 (47.571) Prec@5 73.125 (78.073) Epoch: [49][6620/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 2.0240 (2.0319) Prec@1 53.125 (47.572) Prec@5 78.125 (78.073) Epoch: [49][6630/11272] Time 0.856 (0.787) Data 0.001 (0.002) Loss 1.9834 (2.0320) Prec@1 47.500 (47.571) Prec@5 80.625 (78.070) Epoch: [49][6640/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.0588 (2.0321) Prec@1 45.000 (47.571) Prec@5 76.250 (78.069) Epoch: [49][6650/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0667 (2.0321) Prec@1 45.625 (47.572) Prec@5 73.750 (78.069) Epoch: [49][6660/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.1226 (2.0321) Prec@1 48.750 (47.572) Prec@5 78.125 (78.069) Epoch: [49][6670/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.9480 (2.0320) Prec@1 50.000 (47.574) Prec@5 80.625 (78.071) Epoch: [49][6680/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.1058 (2.0320) Prec@1 43.750 (47.572) Prec@5 74.375 (78.069) Epoch: [49][6690/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.9664 (2.0320) Prec@1 49.375 (47.572) Prec@5 81.875 (78.071) Epoch: [49][6700/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.8853 (2.0321) Prec@1 51.250 (47.571) Prec@5 78.750 (78.070) Epoch: [49][6710/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.9313 (2.0321) Prec@1 47.500 (47.570) Prec@5 79.375 (78.070) Epoch: [49][6720/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0317 (2.0320) Prec@1 49.375 (47.572) Prec@5 80.625 (78.075) Epoch: [49][6730/11272] Time 0.722 (0.787) Data 0.002 (0.002) Loss 1.9398 (2.0320) Prec@1 48.125 (47.571) Prec@5 78.125 (78.073) Epoch: [49][6740/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.1268 (2.0321) Prec@1 47.500 (47.570) Prec@5 78.750 (78.072) Epoch: [49][6750/11272] Time 0.744 (0.787) Data 0.004 (0.002) Loss 1.8867 (2.0320) Prec@1 54.375 (47.572) Prec@5 81.875 (78.071) Epoch: [49][6760/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.7958 (2.0320) Prec@1 55.625 (47.572) Prec@5 83.125 (78.071) Epoch: [49][6770/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.8836 (2.0321) Prec@1 44.375 (47.570) Prec@5 82.500 (78.070) Epoch: [49][6780/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.1876 (2.0322) Prec@1 45.625 (47.568) Prec@5 72.500 (78.070) Epoch: [49][6790/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.2153 (2.0322) Prec@1 46.250 (47.567) Prec@5 75.000 (78.070) Epoch: [49][6800/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 1.8727 (2.0321) Prec@1 50.625 (47.569) Prec@5 81.250 (78.072) Epoch: [49][6810/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.2722 (2.0322) Prec@1 41.250 (47.567) Prec@5 75.000 (78.071) Epoch: [49][6820/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.9976 (2.0322) Prec@1 49.375 (47.570) Prec@5 78.750 (78.071) Epoch: [49][6830/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.9346 (2.0323) Prec@1 48.750 (47.568) Prec@5 80.625 (78.070) Epoch: [49][6840/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 2.1379 (2.0322) Prec@1 47.500 (47.569) Prec@5 77.500 (78.070) Epoch: [49][6850/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 2.1668 (2.0323) Prec@1 45.625 (47.565) Prec@5 71.250 (78.067) Epoch: [49][6860/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 1.8227 (2.0324) Prec@1 49.375 (47.563) Prec@5 80.625 (78.066) Epoch: [49][6870/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.0814 (2.0324) Prec@1 46.250 (47.564) Prec@5 76.250 (78.065) Epoch: [49][6880/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 1.8854 (2.0324) Prec@1 51.875 (47.563) Prec@5 83.750 (78.065) Epoch: [49][6890/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 2.0731 (2.0324) Prec@1 46.875 (47.561) Prec@5 78.125 (78.064) Epoch: [49][6900/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.1288 (2.0325) Prec@1 46.250 (47.563) Prec@5 75.000 (78.063) Epoch: [49][6910/11272] Time 0.708 (0.787) Data 0.001 (0.002) Loss 2.3623 (2.0326) Prec@1 43.125 (47.560) Prec@5 70.625 (78.061) Epoch: [49][6920/11272] Time 0.859 (0.787) Data 0.002 (0.002) Loss 2.3498 (2.0327) Prec@1 40.000 (47.559) Prec@5 76.875 (78.060) Epoch: [49][6930/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.9981 (2.0328) Prec@1 48.125 (47.558) Prec@5 76.250 (78.058) Epoch: [49][6940/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.8240 (2.0327) Prec@1 52.500 (47.559) Prec@5 83.750 (78.059) Epoch: [49][6950/11272] Time 0.758 (0.787) Data 0.002 (0.002) Loss 1.9919 (2.0328) Prec@1 51.250 (47.556) Prec@5 74.375 (78.058) Epoch: [49][6960/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 1.9145 (2.0329) Prec@1 48.125 (47.557) Prec@5 83.125 (78.058) Epoch: [49][6970/11272] Time 0.862 (0.787) Data 0.001 (0.002) Loss 1.9633 (2.0329) Prec@1 46.875 (47.554) Prec@5 78.750 (78.057) Epoch: [49][6980/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 2.4419 (2.0330) Prec@1 41.875 (47.554) Prec@5 74.375 (78.054) Epoch: [49][6990/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 2.0956 (2.0331) Prec@1 46.250 (47.552) Prec@5 77.500 (78.054) Epoch: [49][7000/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.2125 (2.0331) Prec@1 48.750 (47.555) Prec@5 70.625 (78.052) Epoch: [49][7010/11272] Time 0.868 (0.787) Data 0.002 (0.002) Loss 2.2471 (2.0332) Prec@1 46.250 (47.554) Prec@5 76.250 (78.051) Epoch: [49][7020/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 2.1384 (2.0333) Prec@1 44.375 (47.549) Prec@5 80.625 (78.050) Epoch: [49][7030/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 1.9837 (2.0333) Prec@1 50.000 (47.551) Prec@5 77.500 (78.052) Epoch: [49][7040/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.8697 (2.0333) Prec@1 56.250 (47.551) Prec@5 77.500 (78.048) Epoch: [49][7050/11272] Time 0.754 (0.787) Data 0.002 (0.002) Loss 1.9253 (2.0333) Prec@1 46.250 (47.552) Prec@5 78.750 (78.049) Epoch: [49][7060/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.9768 (2.0333) Prec@1 48.125 (47.553) Prec@5 83.750 (78.047) Epoch: [49][7070/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 2.1367 (2.0333) Prec@1 49.375 (47.554) Prec@5 75.625 (78.047) Epoch: [49][7080/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 1.8876 (2.0334) Prec@1 48.125 (47.552) Prec@5 78.750 (78.047) Epoch: [49][7090/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.9197 (2.0334) Prec@1 51.250 (47.551) Prec@5 78.750 (78.044) Epoch: [49][7100/11272] Time 0.753 (0.787) Data 0.002 (0.002) Loss 2.0773 (2.0335) Prec@1 46.250 (47.549) Prec@5 80.625 (78.043) Epoch: [49][7110/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 2.0443 (2.0334) Prec@1 49.375 (47.551) Prec@5 78.125 (78.044) Epoch: [49][7120/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.9206 (2.0335) Prec@1 50.000 (47.551) Prec@5 76.875 (78.044) Epoch: [49][7130/11272] Time 0.748 (0.787) Data 0.002 (0.002) Loss 2.0512 (2.0335) Prec@1 48.750 (47.551) Prec@5 78.125 (78.044) Epoch: [49][7140/11272] Time 0.742 (0.787) Data 0.002 (0.002) Loss 2.1828 (2.0335) Prec@1 48.125 (47.551) Prec@5 72.500 (78.044) Epoch: [49][7150/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 1.8826 (2.0335) Prec@1 43.750 (47.550) Prec@5 81.250 (78.044) Epoch: [49][7160/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0282 (2.0335) Prec@1 41.875 (47.552) Prec@5 79.375 (78.045) Epoch: [49][7170/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 2.3926 (2.0336) Prec@1 40.625 (47.549) Prec@5 71.250 (78.043) Epoch: [49][7180/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 2.1193 (2.0336) Prec@1 45.000 (47.549) Prec@5 75.625 (78.043) Epoch: [49][7190/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 1.9503 (2.0336) Prec@1 46.875 (47.549) Prec@5 78.750 (78.045) Epoch: [49][7200/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 2.2948 (2.0337) Prec@1 40.000 (47.545) Prec@5 75.000 (78.042) Epoch: [49][7210/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.9873 (2.0336) Prec@1 45.625 (47.547) Prec@5 79.375 (78.043) Epoch: [49][7220/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 2.0303 (2.0338) Prec@1 42.500 (47.543) Prec@5 81.875 (78.042) Epoch: [49][7230/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 2.1312 (2.0338) Prec@1 41.875 (47.540) Prec@5 77.500 (78.042) Epoch: [49][7240/11272] Time 0.723 (0.787) Data 0.002 (0.002) Loss 2.0196 (2.0339) Prec@1 46.875 (47.538) Prec@5 77.500 (78.041) Epoch: [49][7250/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.0891 (2.0340) Prec@1 46.875 (47.535) Prec@5 76.250 (78.038) Epoch: [49][7260/11272] Time 0.865 (0.787) Data 0.002 (0.002) Loss 1.9083 (2.0340) Prec@1 46.875 (47.535) Prec@5 83.125 (78.038) Epoch: [49][7270/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.8059 (2.0341) Prec@1 55.625 (47.533) Prec@5 80.000 (78.036) Epoch: [49][7280/11272] Time 0.762 (0.787) Data 0.001 (0.002) Loss 2.0491 (2.0340) Prec@1 46.875 (47.533) Prec@5 75.000 (78.038) Epoch: [49][7290/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 2.1107 (2.0340) Prec@1 43.125 (47.533) Prec@5 78.125 (78.039) Epoch: [49][7300/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 2.0715 (2.0341) Prec@1 45.000 (47.532) Prec@5 75.625 (78.036) Epoch: [49][7310/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 2.0036 (2.0341) Prec@1 53.750 (47.533) Prec@5 79.375 (78.036) Epoch: [49][7320/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.0404 (2.0342) Prec@1 47.500 (47.532) Prec@5 75.625 (78.035) Epoch: [49][7330/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 2.2371 (2.0343) Prec@1 46.250 (47.529) Prec@5 75.000 (78.034) Epoch: [49][7340/11272] Time 0.800 (0.787) Data 0.001 (0.002) Loss 1.7732 (2.0343) Prec@1 48.750 (47.527) Prec@5 83.125 (78.035) Epoch: [49][7350/11272] Time 0.784 (0.787) Data 0.001 (0.002) Loss 1.9261 (2.0343) Prec@1 49.375 (47.526) Prec@5 81.250 (78.035) Epoch: [49][7360/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 2.0751 (2.0344) Prec@1 46.250 (47.522) Prec@5 77.500 (78.033) Epoch: [49][7370/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0016 (2.0346) Prec@1 46.250 (47.520) Prec@5 76.875 (78.031) Epoch: [49][7380/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 1.9250 (2.0346) Prec@1 45.000 (47.519) Prec@5 79.375 (78.031) Epoch: [49][7390/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.1233 (2.0346) Prec@1 45.000 (47.519) Prec@5 73.750 (78.030) Epoch: [49][7400/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 1.9771 (2.0346) Prec@1 54.375 (47.521) Prec@5 78.125 (78.027) Epoch: [49][7410/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 2.1040 (2.0345) Prec@1 46.250 (47.524) Prec@5 80.000 (78.028) Epoch: [49][7420/11272] Time 0.753 (0.787) Data 0.004 (0.002) Loss 1.8489 (2.0346) Prec@1 51.250 (47.523) Prec@5 80.625 (78.026) Epoch: [49][7430/11272] Time 0.739 (0.787) Data 0.002 (0.002) Loss 2.1897 (2.0347) Prec@1 42.500 (47.522) Prec@5 76.250 (78.025) Epoch: [49][7440/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 2.1156 (2.0346) Prec@1 41.875 (47.523) Prec@5 80.625 (78.026) Epoch: [49][7450/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.0108 (2.0347) Prec@1 46.875 (47.521) Prec@5 78.750 (78.026) Epoch: [49][7460/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.8566 (2.0347) Prec@1 53.750 (47.521) Prec@5 78.125 (78.027) Epoch: [49][7470/11272] Time 0.753 (0.787) Data 0.001 (0.002) Loss 2.2302 (2.0348) Prec@1 42.500 (47.519) Prec@5 78.750 (78.024) Epoch: [49][7480/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.1102 (2.0349) Prec@1 43.125 (47.516) Prec@5 76.875 (78.022) Epoch: [49][7490/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 1.8618 (2.0349) Prec@1 49.375 (47.515) Prec@5 81.875 (78.021) Epoch: [49][7500/11272] Time 0.719 (0.787) Data 0.002 (0.002) Loss 1.6685 (2.0349) Prec@1 56.875 (47.517) Prec@5 86.875 (78.022) Epoch: [49][7510/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.0347 (2.0349) Prec@1 50.000 (47.517) Prec@5 75.625 (78.021) Epoch: [49][7520/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9271 (2.0350) Prec@1 40.000 (47.514) Prec@5 83.125 (78.020) Epoch: [49][7530/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 1.8792 (2.0349) Prec@1 51.250 (47.514) Prec@5 78.750 (78.020) Epoch: [49][7540/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9806 (2.0349) Prec@1 44.375 (47.513) Prec@5 81.250 (78.021) Epoch: [49][7550/11272] Time 0.791 (0.787) Data 0.001 (0.002) Loss 1.9816 (2.0348) Prec@1 48.125 (47.515) Prec@5 79.375 (78.023) Epoch: [49][7560/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.9987 (2.0349) Prec@1 50.000 (47.514) Prec@5 76.875 (78.022) Epoch: [49][7570/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.2793 (2.0349) Prec@1 43.750 (47.512) Prec@5 75.625 (78.022) Epoch: [49][7580/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1020 (2.0350) Prec@1 47.500 (47.514) Prec@5 78.750 (78.021) Epoch: [49][7590/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9335 (2.0350) Prec@1 45.625 (47.510) Prec@5 83.125 (78.021) Epoch: [49][7600/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 2.0929 (2.0351) Prec@1 44.375 (47.508) Prec@5 78.125 (78.020) Epoch: [49][7610/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 2.3593 (2.0351) Prec@1 36.875 (47.508) Prec@5 68.125 (78.019) Epoch: [49][7620/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.9620 (2.0351) Prec@1 50.000 (47.506) Prec@5 76.250 (78.018) Epoch: [49][7630/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.9931 (2.0352) Prec@1 47.500 (47.505) Prec@5 83.125 (78.018) Epoch: [49][7640/11272] Time 0.871 (0.787) Data 0.001 (0.002) Loss 2.2019 (2.0352) Prec@1 41.875 (47.502) Prec@5 75.625 (78.018) Epoch: [49][7650/11272] Time 0.718 (0.787) Data 0.002 (0.002) Loss 2.1265 (2.0352) Prec@1 41.875 (47.502) Prec@5 77.500 (78.018) Epoch: [49][7660/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 2.2690 (2.0352) Prec@1 45.625 (47.503) Prec@5 72.500 (78.019) Epoch: [49][7670/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 2.3676 (2.0353) Prec@1 40.625 (47.501) Prec@5 73.750 (78.019) Epoch: [49][7680/11272] Time 0.732 (0.787) Data 0.003 (0.002) Loss 2.2980 (2.0352) Prec@1 43.750 (47.502) Prec@5 73.125 (78.018) Epoch: [49][7690/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.1906 (2.0353) Prec@1 43.750 (47.502) Prec@5 76.250 (78.016) Epoch: [49][7700/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 2.1553 (2.0352) Prec@1 43.125 (47.503) Prec@5 80.000 (78.017) Epoch: [49][7710/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 2.1933 (2.0352) Prec@1 42.500 (47.502) Prec@5 73.125 (78.017) Epoch: [49][7720/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 1.9018 (2.0350) Prec@1 46.875 (47.504) Prec@5 83.750 (78.021) Epoch: [49][7730/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.9836 (2.0350) Prec@1 51.250 (47.503) Prec@5 78.125 (78.022) Epoch: [49][7740/11272] Time 0.848 (0.787) Data 0.001 (0.002) Loss 2.0226 (2.0350) Prec@1 47.500 (47.502) Prec@5 74.375 (78.021) Epoch: [49][7750/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 2.1659 (2.0351) Prec@1 38.125 (47.500) Prec@5 76.250 (78.021) Epoch: [49][7760/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1419 (2.0351) Prec@1 48.125 (47.501) Prec@5 75.625 (78.021) Epoch: [49][7770/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 1.9804 (2.0351) Prec@1 46.250 (47.500) Prec@5 81.250 (78.020) Epoch: [49][7780/11272] Time 0.821 (0.787) Data 0.002 (0.002) Loss 2.1430 (2.0351) Prec@1 48.125 (47.500) Prec@5 77.500 (78.022) Epoch: [49][7790/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 2.2211 (2.0351) Prec@1 41.875 (47.500) Prec@5 75.625 (78.022) Epoch: [49][7800/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 2.2215 (2.0352) Prec@1 43.750 (47.498) Prec@5 73.125 (78.019) Epoch: [49][7810/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.2067 (2.0352) Prec@1 47.500 (47.499) Prec@5 73.125 (78.020) Epoch: [49][7820/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 2.2736 (2.0352) Prec@1 41.250 (47.497) Prec@5 73.125 (78.018) Epoch: [49][7830/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.9834 (2.0352) Prec@1 51.250 (47.499) Prec@5 80.625 (78.019) Epoch: [49][7840/11272] Time 0.753 (0.787) Data 0.001 (0.002) Loss 1.9925 (2.0352) Prec@1 45.000 (47.496) Prec@5 80.625 (78.019) Epoch: [49][7850/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 2.0047 (2.0352) Prec@1 49.375 (47.497) Prec@5 75.625 (78.018) Epoch: [49][7860/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.9777 (2.0352) Prec@1 54.375 (47.499) Prec@5 79.375 (78.018) Epoch: [49][7870/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.9084 (2.0352) Prec@1 52.500 (47.500) Prec@5 78.750 (78.018) Epoch: [49][7880/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.9463 (2.0352) Prec@1 44.375 (47.501) Prec@5 79.375 (78.017) Epoch: [49][7890/11272] Time 0.868 (0.787) Data 0.001 (0.002) Loss 2.1753 (2.0352) Prec@1 43.750 (47.499) Prec@5 75.625 (78.016) Epoch: [49][7900/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.2296 (2.0352) Prec@1 41.875 (47.499) Prec@5 75.625 (78.016) Epoch: [49][7910/11272] Time 0.762 (0.787) Data 0.001 (0.002) Loss 2.1367 (2.0354) Prec@1 45.000 (47.495) Prec@5 74.375 (78.013) Epoch: [49][7920/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 2.2044 (2.0355) Prec@1 45.625 (47.493) Prec@5 73.750 (78.011) Epoch: [49][7930/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 2.0079 (2.0355) Prec@1 48.125 (47.491) Prec@5 75.625 (78.009) Epoch: [49][7940/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.8764 (2.0355) Prec@1 50.000 (47.490) Prec@5 80.625 (78.010) Epoch: [49][7950/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.8443 (2.0356) Prec@1 50.625 (47.489) Prec@5 79.375 (78.009) Epoch: [49][7960/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 2.2434 (2.0356) Prec@1 41.250 (47.488) Prec@5 74.375 (78.010) Epoch: [49][7970/11272] Time 0.857 (0.787) Data 0.001 (0.002) Loss 2.1846 (2.0357) Prec@1 41.875 (47.487) Prec@5 73.750 (78.007) Epoch: [49][7980/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.9414 (2.0357) Prec@1 50.625 (47.488) Prec@5 83.125 (78.008) Epoch: [49][7990/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.4753 (2.0357) Prec@1 41.250 (47.488) Prec@5 69.375 (78.008) Epoch: [49][8000/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 2.1842 (2.0357) Prec@1 41.875 (47.488) Prec@5 76.875 (78.007) Epoch: [49][8010/11272] Time 0.797 (0.787) Data 0.001 (0.002) Loss 1.9821 (2.0358) Prec@1 42.500 (47.485) Prec@5 77.500 (78.004) Epoch: [49][8020/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.0177 (2.0358) Prec@1 44.375 (47.482) Prec@5 75.625 (78.005) Epoch: [49][8030/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0431 (2.0358) Prec@1 49.375 (47.482) Prec@5 77.500 (78.004) Epoch: [49][8040/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.0379 (2.0357) Prec@1 47.500 (47.483) Prec@5 75.000 (78.005) Epoch: [49][8050/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 2.2393 (2.0358) Prec@1 41.250 (47.482) Prec@5 75.000 (78.005) Epoch: [49][8060/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1135 (2.0358) Prec@1 45.000 (47.481) Prec@5 76.250 (78.005) Epoch: [49][8070/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 2.0920 (2.0357) Prec@1 47.500 (47.483) Prec@5 74.375 (78.004) Epoch: [49][8080/11272] Time 0.853 (0.787) Data 0.001 (0.002) Loss 2.1276 (2.0358) Prec@1 46.875 (47.483) Prec@5 74.375 (78.003) Epoch: [49][8090/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.9168 (2.0358) Prec@1 55.000 (47.484) Prec@5 76.250 (78.004) Epoch: [49][8100/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.7323 (2.0358) Prec@1 51.250 (47.484) Prec@5 84.375 (78.004) Epoch: [49][8110/11272] Time 0.855 (0.787) Data 0.001 (0.002) Loss 1.9661 (2.0358) Prec@1 47.500 (47.482) Prec@5 78.750 (78.002) Epoch: [49][8120/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.2120 (2.0358) Prec@1 41.250 (47.482) Prec@5 75.625 (78.004) Epoch: [49][8130/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 2.2714 (2.0358) Prec@1 42.500 (47.481) Prec@5 73.750 (78.005) Epoch: [49][8140/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.1284 (2.0358) Prec@1 40.625 (47.479) Prec@5 80.000 (78.005) Epoch: [49][8150/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 2.1551 (2.0359) Prec@1 49.375 (47.480) Prec@5 73.750 (78.003) Epoch: [49][8160/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.8590 (2.0358) Prec@1 52.500 (47.482) Prec@5 81.875 (78.005) Epoch: [49][8170/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.9680 (2.0358) Prec@1 46.250 (47.479) Prec@5 75.625 (78.002) Epoch: [49][8180/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.1132 (2.0359) Prec@1 43.750 (47.477) Prec@5 76.250 (78.003) Epoch: [49][8190/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 2.1366 (2.0359) Prec@1 50.625 (47.478) Prec@5 75.000 (78.003) Epoch: [49][8200/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.1980 (2.0359) Prec@1 43.750 (47.477) Prec@5 75.000 (78.003) Epoch: [49][8210/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 1.9386 (2.0359) Prec@1 51.875 (47.477) Prec@5 78.750 (78.003) Epoch: [49][8220/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 2.0153 (2.0358) Prec@1 51.250 (47.477) Prec@5 78.125 (78.003) Epoch: [49][8230/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.2513 (2.0359) Prec@1 45.625 (47.477) Prec@5 74.375 (78.002) Epoch: [49][8240/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.1023 (2.0359) Prec@1 41.875 (47.479) Prec@5 77.500 (78.003) Epoch: [49][8250/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 2.1005 (2.0359) Prec@1 46.875 (47.477) Prec@5 76.875 (78.002) Epoch: [49][8260/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 2.0371 (2.0359) Prec@1 52.500 (47.478) Prec@5 76.875 (78.002) Epoch: [49][8270/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 1.7649 (2.0358) Prec@1 56.250 (47.482) Prec@5 83.750 (78.005) Epoch: [49][8280/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.1036 (2.0358) Prec@1 48.750 (47.482) Prec@5 75.625 (78.004) Epoch: [49][8290/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.8479 (2.0357) Prec@1 49.375 (47.485) Prec@5 78.750 (78.005) Epoch: [49][8300/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 2.1271 (2.0357) Prec@1 46.875 (47.486) Prec@5 78.750 (78.004) Epoch: [49][8310/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.9393 (2.0358) Prec@1 51.250 (47.485) Prec@5 76.250 (78.002) Epoch: [49][8320/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.9654 (2.0358) Prec@1 53.125 (47.485) Prec@5 80.625 (78.002) Epoch: [49][8330/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 2.1934 (2.0357) Prec@1 43.750 (47.485) Prec@5 71.250 (78.003) Epoch: [49][8340/11272] Time 0.804 (0.787) Data 0.001 (0.002) Loss 2.2280 (2.0358) Prec@1 40.000 (47.482) Prec@5 75.000 (78.000) Epoch: [49][8350/11272] Time 0.753 (0.787) Data 0.003 (0.002) Loss 2.2328 (2.0358) Prec@1 53.125 (47.484) Prec@5 71.250 (77.999) Epoch: [49][8360/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 2.1181 (2.0359) Prec@1 42.500 (47.482) Prec@5 79.375 (77.997) Epoch: [49][8370/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 2.0737 (2.0359) Prec@1 51.875 (47.482) Prec@5 78.125 (77.998) Epoch: [49][8380/11272] Time 0.868 (0.787) Data 0.002 (0.002) Loss 2.1684 (2.0359) Prec@1 45.625 (47.482) Prec@5 75.000 (77.999) Epoch: [49][8390/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 2.1218 (2.0360) Prec@1 45.000 (47.479) Prec@5 76.250 (77.995) Epoch: [49][8400/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.0614 (2.0360) Prec@1 45.000 (47.482) Prec@5 77.500 (77.996) Epoch: [49][8410/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 2.0735 (2.0361) Prec@1 46.250 (47.480) Prec@5 76.875 (77.993) Epoch: [49][8420/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.9353 (2.0360) Prec@1 46.250 (47.480) Prec@5 80.000 (77.994) Epoch: [49][8430/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9769 (2.0360) Prec@1 44.375 (47.479) Prec@5 79.375 (77.996) Epoch: [49][8440/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.9650 (2.0360) Prec@1 45.625 (47.478) Prec@5 80.625 (77.997) Epoch: [49][8450/11272] Time 0.804 (0.787) Data 0.001 (0.002) Loss 2.3365 (2.0360) Prec@1 40.000 (47.477) Prec@5 73.125 (77.997) Epoch: [49][8460/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 2.0660 (2.0360) Prec@1 47.500 (47.479) Prec@5 75.000 (77.999) Epoch: [49][8470/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.7399 (2.0360) Prec@1 55.625 (47.479) Prec@5 83.125 (77.998) Epoch: [49][8480/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.1683 (2.0359) Prec@1 41.250 (47.480) Prec@5 76.875 (78.000) Epoch: [49][8490/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8718 (2.0359) Prec@1 51.250 (47.483) Prec@5 81.250 (78.000) Epoch: [49][8500/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.8631 (2.0359) Prec@1 48.750 (47.485) Prec@5 81.875 (78.002) Epoch: [49][8510/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.1031 (2.0359) Prec@1 46.875 (47.484) Prec@5 75.000 (78.002) Epoch: [49][8520/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.9807 (2.0359) Prec@1 49.375 (47.485) Prec@5 81.250 (78.001) Epoch: [49][8530/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.1680 (2.0359) Prec@1 43.750 (47.485) Prec@5 75.625 (78.000) Epoch: [49][8540/11272] Time 0.784 (0.786) Data 0.002 (0.002) Loss 1.9980 (2.0358) Prec@1 50.625 (47.487) Prec@5 76.875 (78.001) Epoch: [49][8550/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8968 (2.0358) Prec@1 50.000 (47.488) Prec@5 81.250 (78.003) Epoch: [49][8560/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 2.1763 (2.0358) Prec@1 43.125 (47.486) Prec@5 72.500 (78.002) Epoch: [49][8570/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 2.1112 (2.0358) Prec@1 43.125 (47.488) Prec@5 79.375 (78.002) Epoch: [49][8580/11272] Time 0.706 (0.786) Data 0.002 (0.002) Loss 2.0904 (2.0358) Prec@1 42.500 (47.486) Prec@5 76.875 (78.002) Epoch: [49][8590/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.1978 (2.0358) Prec@1 43.750 (47.485) Prec@5 78.750 (78.002) Epoch: [49][8600/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.9646 (2.0359) Prec@1 52.500 (47.485) Prec@5 79.375 (78.001) Epoch: [49][8610/11272] Time 0.745 (0.786) Data 0.003 (0.002) Loss 1.9973 (2.0360) Prec@1 41.875 (47.482) Prec@5 80.000 (78.000) Epoch: [49][8620/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 2.0149 (2.0359) Prec@1 50.625 (47.484) Prec@5 75.000 (78.001) Epoch: [49][8630/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 2.1256 (2.0360) Prec@1 45.000 (47.484) Prec@5 76.875 (78.000) Epoch: [49][8640/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9754 (2.0361) Prec@1 50.625 (47.482) Prec@5 76.875 (77.996) Epoch: [49][8650/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.9938 (2.0361) Prec@1 50.625 (47.481) Prec@5 80.000 (77.996) Epoch: [49][8660/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0150 (2.0362) Prec@1 45.625 (47.480) Prec@5 78.125 (77.995) Epoch: [49][8670/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.9278 (2.0362) Prec@1 48.750 (47.479) Prec@5 79.375 (77.994) Epoch: [49][8680/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.8697 (2.0362) Prec@1 48.750 (47.479) Prec@5 77.500 (77.994) Epoch: [49][8690/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 2.1048 (2.0362) Prec@1 46.875 (47.477) Prec@5 77.500 (77.993) Epoch: [49][8700/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 1.9854 (2.0362) Prec@1 49.375 (47.478) Prec@5 79.375 (77.994) Epoch: [49][8710/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.1933 (2.0361) Prec@1 38.125 (47.479) Prec@5 73.125 (77.995) Epoch: [49][8720/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 2.1448 (2.0361) Prec@1 40.000 (47.478) Prec@5 80.000 (77.995) Epoch: [49][8730/11272] Time 0.707 (0.786) Data 0.001 (0.002) Loss 1.8815 (2.0360) Prec@1 55.000 (47.480) Prec@5 80.625 (77.996) Epoch: [49][8740/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.8863 (2.0361) Prec@1 46.875 (47.478) Prec@5 83.125 (77.996) Epoch: [49][8750/11272] Time 0.867 (0.786) Data 0.001 (0.002) Loss 2.2208 (2.0361) Prec@1 43.125 (47.480) Prec@5 79.375 (77.997) Epoch: [49][8760/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.0673 (2.0361) Prec@1 50.625 (47.479) Prec@5 76.875 (77.997) Epoch: [49][8770/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.1684 (2.0362) Prec@1 49.375 (47.478) Prec@5 76.250 (77.995) Epoch: [49][8780/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0966 (2.0362) Prec@1 50.000 (47.479) Prec@5 76.250 (77.995) Epoch: [49][8790/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 2.1208 (2.0362) Prec@1 43.125 (47.477) Prec@5 78.125 (77.994) Epoch: [49][8800/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.0496 (2.0362) Prec@1 46.875 (47.476) Prec@5 78.750 (77.993) Epoch: [49][8810/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 1.9939 (2.0362) Prec@1 51.875 (47.476) Prec@5 78.125 (77.993) Epoch: [49][8820/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.0835 (2.0363) Prec@1 45.625 (47.476) Prec@5 78.750 (77.992) Epoch: [49][8830/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.9935 (2.0363) Prec@1 50.625 (47.479) Prec@5 76.875 (77.992) Epoch: [49][8840/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.1809 (2.0364) Prec@1 48.125 (47.476) Prec@5 75.000 (77.991) Epoch: [49][8850/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9064 (2.0364) Prec@1 51.875 (47.476) Prec@5 81.250 (77.991) Epoch: [49][8860/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 2.1923 (2.0364) Prec@1 44.375 (47.474) Prec@5 75.625 (77.991) Epoch: [49][8870/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.8409 (2.0364) Prec@1 50.625 (47.476) Prec@5 81.250 (77.992) Epoch: [49][8880/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.0304 (2.0364) Prec@1 41.875 (47.475) Prec@5 79.375 (77.993) Epoch: [49][8890/11272] Time 0.876 (0.786) Data 0.002 (0.002) Loss 2.3414 (2.0365) Prec@1 39.375 (47.474) Prec@5 72.500 (77.992) Epoch: [49][8900/11272] Time 0.863 (0.786) Data 0.001 (0.002) Loss 2.1036 (2.0365) Prec@1 46.250 (47.471) Prec@5 80.000 (77.991) Epoch: [49][8910/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.7979 (2.0365) Prec@1 55.000 (47.472) Prec@5 80.000 (77.990) Epoch: [49][8920/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.0487 (2.0366) Prec@1 49.375 (47.472) Prec@5 75.000 (77.988) Epoch: [49][8930/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.1695 (2.0366) Prec@1 46.250 (47.471) Prec@5 75.000 (77.989) Epoch: [49][8940/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.2632 (2.0366) Prec@1 41.875 (47.471) Prec@5 74.375 (77.989) Epoch: [49][8950/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.8626 (2.0365) Prec@1 52.500 (47.474) Prec@5 78.750 (77.989) Epoch: [49][8960/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.6888 (2.0365) Prec@1 53.750 (47.475) Prec@5 80.625 (77.989) Epoch: [49][8970/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 1.9471 (2.0364) Prec@1 48.750 (47.477) Prec@5 76.875 (77.991) Epoch: [49][8980/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0742 (2.0365) Prec@1 47.500 (47.477) Prec@5 72.500 (77.989) Epoch: [49][8990/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.0124 (2.0364) Prec@1 45.000 (47.479) Prec@5 78.750 (77.991) Epoch: [49][9000/11272] Time 0.738 (0.786) Data 0.002 (0.002) Loss 2.1008 (2.0365) Prec@1 43.750 (47.477) Prec@5 79.375 (77.991) Epoch: [49][9010/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.0482 (2.0364) Prec@1 45.625 (47.479) Prec@5 82.500 (77.992) Epoch: [49][9020/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.9536 (2.0364) Prec@1 49.375 (47.480) Prec@5 78.750 (77.991) Epoch: [49][9030/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.1114 (2.0363) Prec@1 45.000 (47.480) Prec@5 75.625 (77.992) Epoch: [49][9040/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.0871 (2.0364) Prec@1 46.250 (47.480) Prec@5 73.125 (77.991) Epoch: [49][9050/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.1574 (2.0364) Prec@1 46.250 (47.479) Prec@5 70.625 (77.989) Epoch: [49][9060/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 2.0349 (2.0363) Prec@1 43.125 (47.481) Prec@5 80.000 (77.990) Epoch: [49][9070/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.2712 (2.0363) Prec@1 39.375 (47.482) Prec@5 73.750 (77.989) Epoch: [49][9080/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 2.2922 (2.0363) Prec@1 39.375 (47.483) Prec@5 73.125 (77.989) Epoch: [49][9090/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8023 (2.0363) Prec@1 50.000 (47.484) Prec@5 85.000 (77.990) Epoch: [49][9100/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.0344 (2.0363) Prec@1 52.500 (47.485) Prec@5 80.000 (77.991) Epoch: [49][9110/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 2.2119 (2.0363) Prec@1 40.625 (47.487) Prec@5 70.000 (77.991) Epoch: [49][9120/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 1.9481 (2.0363) Prec@1 46.250 (47.484) Prec@5 80.000 (77.992) Epoch: [49][9130/11272] Time 0.846 (0.786) Data 0.002 (0.002) Loss 1.8840 (2.0363) Prec@1 51.875 (47.483) Prec@5 83.125 (77.992) Epoch: [49][9140/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9324 (2.0364) Prec@1 47.500 (47.482) Prec@5 81.250 (77.992) Epoch: [49][9150/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 2.0028 (2.0363) Prec@1 50.625 (47.484) Prec@5 78.750 (77.994) Epoch: [49][9160/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.9894 (2.0363) Prec@1 48.125 (47.482) Prec@5 81.875 (77.994) Epoch: [49][9170/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.9041 (2.0363) Prec@1 49.375 (47.484) Prec@5 78.750 (77.993) Epoch: [49][9180/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.9395 (2.0362) Prec@1 48.750 (47.484) Prec@5 80.000 (77.993) Epoch: [49][9190/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.2078 (2.0363) Prec@1 45.625 (47.483) Prec@5 78.125 (77.992) Epoch: [49][9200/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.9816 (2.0362) Prec@1 50.000 (47.486) Prec@5 74.375 (77.991) Epoch: [49][9210/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.2397 (2.0363) Prec@1 43.750 (47.487) Prec@5 76.875 (77.991) Epoch: [49][9220/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1276 (2.0363) Prec@1 48.750 (47.486) Prec@5 76.250 (77.991) Epoch: [49][9230/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.9835 (2.0362) Prec@1 50.000 (47.486) Prec@5 77.500 (77.993) Epoch: [49][9240/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.2354 (2.0363) Prec@1 45.000 (47.485) Prec@5 76.250 (77.990) Epoch: [49][9250/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 1.9824 (2.0363) Prec@1 52.500 (47.483) Prec@5 76.875 (77.988) Epoch: [49][9260/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.2904 (2.0363) Prec@1 42.500 (47.485) Prec@5 76.250 (77.989) Epoch: [49][9270/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.1384 (2.0363) Prec@1 49.375 (47.485) Prec@5 78.750 (77.990) Epoch: [49][9280/11272] Time 0.733 (0.786) Data 0.003 (0.002) Loss 1.9053 (2.0362) Prec@1 47.500 (47.485) Prec@5 79.375 (77.991) Epoch: [49][9290/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.9256 (2.0363) Prec@1 49.375 (47.484) Prec@5 80.625 (77.991) Epoch: [49][9300/11272] Time 0.949 (0.786) Data 0.002 (0.002) Loss 2.1555 (2.0363) Prec@1 45.000 (47.483) Prec@5 76.250 (77.991) Epoch: [49][9310/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.9279 (2.0363) Prec@1 46.250 (47.483) Prec@5 78.125 (77.991) Epoch: [49][9320/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0359 (2.0364) Prec@1 45.000 (47.481) Prec@5 77.500 (77.988) Epoch: [49][9330/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.8584 (2.0364) Prec@1 48.750 (47.480) Prec@5 80.625 (77.989) Epoch: [49][9340/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 1.7525 (2.0363) Prec@1 53.750 (47.481) Prec@5 85.000 (77.990) Epoch: [49][9350/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 2.0775 (2.0364) Prec@1 47.500 (47.480) Prec@5 77.500 (77.989) Epoch: [49][9360/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.0624 (2.0363) Prec@1 50.000 (47.481) Prec@5 78.750 (77.989) Epoch: [49][9370/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.9382 (2.0365) Prec@1 54.375 (47.481) Prec@5 76.875 (77.987) Epoch: [49][9380/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.0497 (2.0365) Prec@1 49.375 (47.480) Prec@5 79.375 (77.986) Epoch: [49][9390/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 2.4294 (2.0365) Prec@1 38.125 (47.479) Prec@5 70.000 (77.986) Epoch: [49][9400/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8053 (2.0365) Prec@1 55.625 (47.480) Prec@5 80.625 (77.985) Epoch: [49][9410/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 2.1541 (2.0365) Prec@1 46.250 (47.482) Prec@5 74.375 (77.986) Epoch: [49][9420/11272] Time 0.859 (0.786) Data 0.002 (0.002) Loss 2.0524 (2.0365) Prec@1 48.750 (47.481) Prec@5 78.750 (77.985) Epoch: [49][9430/11272] Time 0.738 (0.786) Data 0.002 (0.002) Loss 1.8789 (2.0365) Prec@1 51.875 (47.480) Prec@5 80.625 (77.986) Epoch: [49][9440/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.3435 (2.0366) Prec@1 46.875 (47.478) Prec@5 68.750 (77.985) Epoch: [49][9450/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0904 (2.0366) Prec@1 41.250 (47.475) Prec@5 75.000 (77.986) Epoch: [49][9460/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.0151 (2.0366) Prec@1 45.625 (47.476) Prec@5 78.125 (77.986) Epoch: [49][9470/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.9811 (2.0366) Prec@1 47.500 (47.475) Prec@5 81.250 (77.986) Epoch: [49][9480/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.2463 (2.0366) Prec@1 46.875 (47.474) Prec@5 73.125 (77.985) Epoch: [49][9490/11272] Time 0.853 (0.786) Data 0.001 (0.002) Loss 2.0286 (2.0366) Prec@1 48.750 (47.474) Prec@5 79.375 (77.985) Epoch: [49][9500/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 2.1511 (2.0367) Prec@1 47.500 (47.474) Prec@5 76.250 (77.985) Epoch: [49][9510/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 1.8995 (2.0367) Prec@1 50.000 (47.473) Prec@5 77.500 (77.985) Epoch: [49][9520/11272] Time 0.744 (0.786) Data 0.002 (0.002) Loss 2.0815 (2.0367) Prec@1 48.750 (47.475) Prec@5 78.125 (77.986) Epoch: [49][9530/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.7766 (2.0366) Prec@1 50.625 (47.478) Prec@5 83.750 (77.987) Epoch: [49][9540/11272] Time 0.751 (0.786) Data 0.003 (0.002) Loss 2.0599 (2.0366) Prec@1 48.125 (47.477) Prec@5 79.375 (77.987) Epoch: [49][9550/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0863 (2.0366) Prec@1 46.250 (47.477) Prec@5 76.875 (77.988) Epoch: [49][9560/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.9098 (2.0366) Prec@1 48.125 (47.478) Prec@5 82.500 (77.987) Epoch: [49][9570/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.9830 (2.0367) Prec@1 48.750 (47.477) Prec@5 78.750 (77.985) Epoch: [49][9580/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.1522 (2.0367) Prec@1 46.250 (47.477) Prec@5 78.125 (77.985) Epoch: [49][9590/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 1.6668 (2.0367) Prec@1 56.875 (47.477) Prec@5 81.875 (77.985) Epoch: [49][9600/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.9849 (2.0366) Prec@1 52.500 (47.480) Prec@5 76.250 (77.987) Epoch: [49][9610/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0469 (2.0367) Prec@1 48.125 (47.479) Prec@5 76.875 (77.985) Epoch: [49][9620/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.2744 (2.0367) Prec@1 46.875 (47.480) Prec@5 69.375 (77.984) Epoch: [49][9630/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.0481 (2.0366) Prec@1 46.875 (47.482) Prec@5 80.000 (77.985) Epoch: [49][9640/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.9366 (2.0366) Prec@1 48.750 (47.482) Prec@5 81.250 (77.985) Epoch: [49][9650/11272] Time 0.813 (0.786) Data 0.001 (0.002) Loss 2.1007 (2.0365) Prec@1 49.375 (47.483) Prec@5 72.500 (77.985) Epoch: [49][9660/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.2629 (2.0367) Prec@1 45.000 (47.478) Prec@5 73.750 (77.981) Epoch: [49][9670/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.9482 (2.0366) Prec@1 47.500 (47.480) Prec@5 79.375 (77.983) Epoch: [49][9680/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.1003 (2.0367) Prec@1 45.625 (47.477) Prec@5 77.500 (77.981) Epoch: [49][9690/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 2.2543 (2.0367) Prec@1 41.875 (47.479) Prec@5 75.000 (77.981) Epoch: [49][9700/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.2023 (2.0368) Prec@1 43.125 (47.478) Prec@5 73.125 (77.979) Epoch: [49][9710/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 1.9740 (2.0367) Prec@1 51.250 (47.480) Prec@5 78.750 (77.980) Epoch: [49][9720/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.8794 (2.0367) Prec@1 46.250 (47.481) Prec@5 83.125 (77.982) Epoch: [49][9730/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.9595 (2.0367) Prec@1 46.875 (47.480) Prec@5 79.375 (77.981) Epoch: [49][9740/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.3616 (2.0368) Prec@1 39.375 (47.477) Prec@5 72.500 (77.981) Epoch: [49][9750/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.0519 (2.0367) Prec@1 50.625 (47.477) Prec@5 76.250 (77.980) Epoch: [49][9760/11272] Time 0.809 (0.786) Data 0.001 (0.002) Loss 2.0048 (2.0368) Prec@1 48.125 (47.475) Prec@5 79.375 (77.979) Epoch: [49][9770/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 2.0530 (2.0368) Prec@1 47.500 (47.474) Prec@5 71.250 (77.977) Epoch: [49][9780/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 2.2461 (2.0369) Prec@1 43.125 (47.473) Prec@5 78.125 (77.976) Epoch: [49][9790/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.1309 (2.0369) Prec@1 46.875 (47.471) Prec@5 80.000 (77.976) Epoch: [49][9800/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.1491 (2.0370) Prec@1 46.875 (47.471) Prec@5 77.500 (77.975) Epoch: [49][9810/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 2.0481 (2.0371) Prec@1 50.000 (47.470) Prec@5 74.375 (77.972) Epoch: [49][9820/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.9557 (2.0371) Prec@1 46.250 (47.469) Prec@5 78.125 (77.972) Epoch: [49][9830/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8630 (2.0371) Prec@1 49.375 (47.468) Prec@5 82.500 (77.972) Epoch: [49][9840/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.2666 (2.0372) Prec@1 46.875 (47.466) Prec@5 75.000 (77.970) Epoch: [49][9850/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.2972 (2.0372) Prec@1 40.625 (47.466) Prec@5 76.875 (77.971) Epoch: [49][9860/11272] Time 0.853 (0.786) Data 0.001 (0.002) Loss 2.3910 (2.0372) Prec@1 43.750 (47.465) Prec@5 71.250 (77.971) Epoch: [49][9870/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 1.9517 (2.0372) Prec@1 48.750 (47.464) Prec@5 82.500 (77.971) Epoch: [49][9880/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.1598 (2.0372) Prec@1 48.125 (47.465) Prec@5 78.125 (77.972) Epoch: [49][9890/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.2474 (2.0373) Prec@1 42.500 (47.465) Prec@5 74.375 (77.969) Epoch: [49][9900/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9604 (2.0373) Prec@1 50.000 (47.463) Prec@5 76.250 (77.968) Epoch: [49][9910/11272] Time 0.849 (0.786) Data 0.001 (0.002) Loss 2.1207 (2.0373) Prec@1 46.875 (47.463) Prec@5 72.500 (77.968) Epoch: [49][9920/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 2.0357 (2.0373) Prec@1 45.000 (47.463) Prec@5 79.375 (77.968) Epoch: [49][9930/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 2.2182 (2.0374) Prec@1 48.125 (47.462) Prec@5 78.750 (77.967) Epoch: [49][9940/11272] Time 0.875 (0.786) Data 0.002 (0.002) Loss 1.8746 (2.0374) Prec@1 51.875 (47.461) Prec@5 82.500 (77.967) Epoch: [49][9950/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.2002 (2.0374) Prec@1 46.875 (47.462) Prec@5 72.500 (77.967) Epoch: [49][9960/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.9898 (2.0374) Prec@1 47.500 (47.462) Prec@5 77.500 (77.967) Epoch: [49][9970/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.9543 (2.0374) Prec@1 51.250 (47.462) Prec@5 85.000 (77.967) Epoch: [49][9980/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.4070 (2.0375) Prec@1 42.500 (47.461) Prec@5 74.375 (77.965) Epoch: [49][9990/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9638 (2.0375) Prec@1 53.125 (47.461) Prec@5 79.375 (77.966) Epoch: [49][10000/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.9605 (2.0374) Prec@1 49.375 (47.461) Prec@5 80.625 (77.967) Epoch: [49][10010/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 2.0696 (2.0374) Prec@1 48.750 (47.462) Prec@5 80.625 (77.968) Epoch: [49][10020/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.1293 (2.0375) Prec@1 48.125 (47.462) Prec@5 75.625 (77.968) Epoch: [49][10030/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.8253 (2.0375) Prec@1 48.125 (47.463) Prec@5 83.750 (77.968) Epoch: [49][10040/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.8203 (2.0374) Prec@1 50.000 (47.463) Prec@5 80.625 (77.971) Epoch: [49][10050/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.1284 (2.0373) Prec@1 53.125 (47.465) Prec@5 73.125 (77.972) Epoch: [49][10060/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.2075 (2.0374) Prec@1 45.625 (47.464) Prec@5 71.250 (77.971) Epoch: [49][10070/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 2.1680 (2.0374) Prec@1 45.625 (47.464) Prec@5 76.875 (77.970) Epoch: [49][10080/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 2.2133 (2.0375) Prec@1 44.375 (47.463) Prec@5 77.500 (77.971) Epoch: [49][10090/11272] Time 0.858 (0.786) Data 0.002 (0.002) Loss 1.8594 (2.0374) Prec@1 51.250 (47.464) Prec@5 81.875 (77.972) Epoch: [49][10100/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.7716 (2.0374) Prec@1 53.750 (47.466) Prec@5 83.125 (77.973) Epoch: [49][10110/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.0534 (2.0374) Prec@1 45.000 (47.466) Prec@5 80.000 (77.973) Epoch: [49][10120/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.1856 (2.0373) Prec@1 41.250 (47.466) Prec@5 78.125 (77.974) Epoch: [49][10130/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.2611 (2.0374) Prec@1 45.000 (47.465) Prec@5 75.000 (77.975) Epoch: [49][10140/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1370 (2.0373) Prec@1 49.375 (47.465) Prec@5 78.750 (77.976) Epoch: [49][10150/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 2.0514 (2.0373) Prec@1 48.750 (47.466) Prec@5 77.500 (77.976) Epoch: [49][10160/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 2.1048 (2.0374) Prec@1 45.000 (47.464) Prec@5 77.500 (77.974) Epoch: [49][10170/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.8189 (2.0374) Prec@1 51.250 (47.462) Prec@5 82.500 (77.974) Epoch: [49][10180/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1230 (2.0375) Prec@1 45.625 (47.461) Prec@5 79.375 (77.972) Epoch: [49][10190/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.0618 (2.0375) Prec@1 44.375 (47.459) Prec@5 78.125 (77.972) Epoch: [49][10200/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 2.0630 (2.0375) Prec@1 46.250 (47.459) Prec@5 78.125 (77.971) Epoch: [49][10210/11272] Time 0.729 (0.786) Data 0.003 (0.002) Loss 1.9263 (2.0376) Prec@1 48.125 (47.459) Prec@5 81.875 (77.970) Epoch: [49][10220/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.1908 (2.0376) Prec@1 48.125 (47.458) Prec@5 75.625 (77.970) Epoch: [49][10230/11272] Time 0.849 (0.786) Data 0.001 (0.002) Loss 1.9413 (2.0375) Prec@1 53.125 (47.460) Prec@5 82.500 (77.973) Epoch: [49][10240/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 2.0990 (2.0375) Prec@1 43.750 (47.461) Prec@5 78.750 (77.972) Epoch: [49][10250/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.9693 (2.0375) Prec@1 51.875 (47.461) Prec@5 75.625 (77.972) Epoch: [49][10260/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7070 (2.0375) Prec@1 61.875 (47.464) Prec@5 81.875 (77.972) Epoch: [49][10270/11272] Time 0.867 (0.786) Data 0.002 (0.002) Loss 2.3562 (2.0375) Prec@1 38.125 (47.463) Prec@5 76.250 (77.972) Epoch: [49][10280/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.2227 (2.0375) Prec@1 42.500 (47.462) Prec@5 74.375 (77.971) Epoch: [49][10290/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.0775 (2.0375) Prec@1 46.875 (47.462) Prec@5 79.375 (77.971) Epoch: [49][10300/11272] Time 0.702 (0.786) Data 0.001 (0.002) Loss 2.1314 (2.0376) Prec@1 46.250 (47.463) Prec@5 77.500 (77.971) Epoch: [49][10310/11272] Time 0.803 (0.786) Data 0.001 (0.002) Loss 2.0123 (2.0376) Prec@1 50.625 (47.462) Prec@5 80.625 (77.969) Epoch: [49][10320/11272] Time 0.825 (0.786) Data 0.002 (0.002) Loss 2.0626 (2.0377) Prec@1 45.625 (47.463) Prec@5 78.750 (77.969) Epoch: [49][10330/11272] Time 0.749 (0.786) Data 0.002 (0.002) Loss 2.1271 (2.0376) Prec@1 44.375 (47.463) Prec@5 76.875 (77.969) Epoch: [49][10340/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 2.1318 (2.0376) Prec@1 46.875 (47.463) Prec@5 78.750 (77.970) Epoch: [49][10350/11272] Time 0.807 (0.786) Data 0.001 (0.002) Loss 2.2692 (2.0376) Prec@1 40.000 (47.463) Prec@5 73.125 (77.970) Epoch: [49][10360/11272] Time 0.749 (0.786) Data 0.001 (0.002) Loss 2.1584 (2.0375) Prec@1 46.250 (47.466) Prec@5 76.250 (77.971) Epoch: [49][10370/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.9082 (2.0375) Prec@1 50.625 (47.466) Prec@5 82.500 (77.971) Epoch: [49][10380/11272] Time 0.905 (0.786) Data 0.001 (0.002) Loss 2.0321 (2.0374) Prec@1 51.250 (47.467) Prec@5 76.875 (77.973) Epoch: [49][10390/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.0410 (2.0374) Prec@1 48.125 (47.465) Prec@5 76.875 (77.974) Epoch: [49][10400/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.2696 (2.0374) Prec@1 40.625 (47.465) Prec@5 71.875 (77.976) Epoch: [49][10410/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.1319 (2.0374) Prec@1 48.750 (47.465) Prec@5 75.625 (77.976) Epoch: [49][10420/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.0790 (2.0374) Prec@1 45.000 (47.465) Prec@5 77.500 (77.976) Epoch: [49][10430/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 2.2603 (2.0375) Prec@1 41.875 (47.463) Prec@5 72.500 (77.974) Epoch: [49][10440/11272] Time 0.758 (0.786) Data 0.001 (0.002) Loss 1.8124 (2.0374) Prec@1 51.875 (47.465) Prec@5 80.625 (77.975) Epoch: [49][10450/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.7735 (2.0374) Prec@1 52.500 (47.464) Prec@5 80.625 (77.974) Epoch: [49][10460/11272] Time 0.866 (0.786) Data 0.001 (0.002) Loss 2.0064 (2.0375) Prec@1 50.625 (47.463) Prec@5 80.000 (77.972) Epoch: [49][10470/11272] Time 0.741 (0.786) Data 0.003 (0.002) Loss 2.3959 (2.0375) Prec@1 41.875 (47.463) Prec@5 70.000 (77.972) Epoch: [49][10480/11272] Time 0.757 (0.786) Data 0.002 (0.002) Loss 2.3880 (2.0376) Prec@1 41.875 (47.462) Prec@5 71.875 (77.969) Epoch: [49][10490/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.8589 (2.0375) Prec@1 50.625 (47.462) Prec@5 83.125 (77.970) Epoch: [49][10500/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.4059 (2.0376) Prec@1 41.875 (47.461) Prec@5 70.625 (77.968) Epoch: [49][10510/11272] Time 0.731 (0.786) Data 0.000 (0.002) Loss 1.9749 (2.0377) Prec@1 46.875 (47.460) Prec@5 78.125 (77.966) Epoch: [49][10520/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.1073 (2.0377) Prec@1 44.375 (47.460) Prec@5 77.500 (77.965) Epoch: [49][10530/11272] Time 0.859 (0.786) Data 0.001 (0.002) Loss 1.9714 (2.0378) Prec@1 48.750 (47.458) Prec@5 79.375 (77.965) Epoch: [49][10540/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9871 (2.0378) Prec@1 51.250 (47.459) Prec@5 75.000 (77.964) Epoch: [49][10550/11272] Time 0.783 (0.786) Data 0.002 (0.002) Loss 2.0170 (2.0378) Prec@1 50.625 (47.461) Prec@5 76.250 (77.963) Epoch: [49][10560/11272] Time 0.703 (0.786) Data 0.001 (0.002) Loss 1.9506 (2.0378) Prec@1 50.000 (47.461) Prec@5 82.500 (77.963) Epoch: [49][10570/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.7959 (2.0377) Prec@1 54.375 (47.462) Prec@5 78.125 (77.963) Epoch: [49][10580/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.0821 (2.0377) Prec@1 48.750 (47.461) Prec@5 80.000 (77.962) Epoch: [49][10590/11272] Time 0.752 (0.786) Data 0.001 (0.002) Loss 1.9177 (2.0377) Prec@1 48.750 (47.462) Prec@5 80.625 (77.962) Epoch: [49][10600/11272] Time 0.878 (0.786) Data 0.001 (0.002) Loss 2.3538 (2.0378) Prec@1 48.125 (47.462) Prec@5 70.625 (77.960) Epoch: [49][10610/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 2.1841 (2.0378) Prec@1 45.625 (47.462) Prec@5 76.875 (77.959) Epoch: [49][10620/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 2.0418 (2.0379) Prec@1 50.000 (47.462) Prec@5 78.125 (77.960) Epoch: [49][10630/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.2214 (2.0379) Prec@1 44.375 (47.460) Prec@5 74.375 (77.959) Epoch: [49][10640/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9213 (2.0379) Prec@1 50.625 (47.462) Prec@5 79.375 (77.960) Epoch: [49][10650/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.9949 (2.0379) Prec@1 50.625 (47.462) Prec@5 80.000 (77.961) Epoch: [49][10660/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.0920 (2.0379) Prec@1 45.625 (47.462) Prec@5 80.000 (77.961) Epoch: [49][10670/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.2722 (2.0379) Prec@1 43.750 (47.461) Prec@5 75.625 (77.961) Epoch: [49][10680/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.8742 (2.0379) Prec@1 51.250 (47.461) Prec@5 79.375 (77.961) Epoch: [49][10690/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 2.0073 (2.0380) Prec@1 47.500 (47.460) Prec@5 80.000 (77.960) Epoch: [49][10700/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.1974 (2.0379) Prec@1 46.250 (47.460) Prec@5 73.750 (77.960) Epoch: [49][10710/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9657 (2.0379) Prec@1 53.750 (47.461) Prec@5 79.375 (77.961) Epoch: [49][10720/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.0428 (2.0380) Prec@1 50.625 (47.459) Prec@5 76.875 (77.960) Epoch: [49][10730/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.2163 (2.0380) Prec@1 46.875 (47.459) Prec@5 71.250 (77.959) Epoch: [49][10740/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 2.2247 (2.0380) Prec@1 41.875 (47.459) Prec@5 76.875 (77.961) Epoch: [49][10750/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.0317 (2.0380) Prec@1 46.875 (47.459) Prec@5 75.000 (77.960) Epoch: [49][10760/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.0230 (2.0381) Prec@1 46.875 (47.457) Prec@5 75.625 (77.958) Epoch: [49][10770/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.9450 (2.0382) Prec@1 50.000 (47.454) Prec@5 81.250 (77.956) Epoch: [49][10780/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.0042 (2.0382) Prec@1 48.750 (47.452) Prec@5 79.375 (77.956) Epoch: [49][10790/11272] Time 0.799 (0.786) Data 0.001 (0.002) Loss 1.9570 (2.0382) Prec@1 44.375 (47.452) Prec@5 81.875 (77.958) Epoch: [49][10800/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0703 (2.0382) Prec@1 40.625 (47.451) Prec@5 76.875 (77.958) Epoch: [49][10810/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0257 (2.0381) Prec@1 49.375 (47.453) Prec@5 76.250 (77.959) Epoch: [49][10820/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.9295 (2.0380) Prec@1 53.125 (47.455) Prec@5 80.000 (77.960) Epoch: [49][10830/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0424 (2.0380) Prec@1 46.250 (47.455) Prec@5 76.250 (77.960) Epoch: [49][10840/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.3301 (2.0380) Prec@1 43.125 (47.454) Prec@5 73.125 (77.961) Epoch: [49][10850/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.8459 (2.0381) Prec@1 51.250 (47.454) Prec@5 80.000 (77.961) Epoch: [49][10860/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.0634 (2.0381) Prec@1 47.500 (47.455) Prec@5 75.625 (77.960) Epoch: [49][10870/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 2.0416 (2.0381) Prec@1 45.625 (47.455) Prec@5 81.875 (77.960) Epoch: [49][10880/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.0232 (2.0382) Prec@1 48.125 (47.452) Prec@5 82.500 (77.960) Epoch: [49][10890/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.9957 (2.0381) Prec@1 48.750 (47.452) Prec@5 75.625 (77.961) Epoch: [49][10900/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.0859 (2.0382) Prec@1 48.125 (47.451) Prec@5 75.000 (77.959) Epoch: [49][10910/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.9874 (2.0382) Prec@1 51.875 (47.452) Prec@5 80.000 (77.959) Epoch: [49][10920/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0564 (2.0382) Prec@1 48.125 (47.452) Prec@5 77.500 (77.959) Epoch: [49][10930/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.8456 (2.0382) Prec@1 55.000 (47.451) Prec@5 84.375 (77.960) Epoch: [49][10940/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.0633 (2.0382) Prec@1 48.125 (47.453) Prec@5 78.750 (77.959) Epoch: [49][10950/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 2.0300 (2.0382) Prec@1 53.125 (47.452) Prec@5 76.250 (77.958) Epoch: [49][10960/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.0292 (2.0384) Prec@1 50.625 (47.448) Prec@5 76.875 (77.956) Epoch: [49][10970/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 2.0090 (2.0383) Prec@1 45.625 (47.449) Prec@5 79.375 (77.958) Epoch: [49][10980/11272] Time 0.886 (0.786) Data 0.002 (0.002) Loss 2.3424 (2.0384) Prec@1 42.500 (47.447) Prec@5 74.375 (77.957) Epoch: [49][10990/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.1123 (2.0384) Prec@1 46.250 (47.446) Prec@5 78.125 (77.957) Epoch: [49][11000/11272] Time 0.749 (0.786) Data 0.001 (0.002) Loss 1.7686 (2.0384) Prec@1 53.750 (47.447) Prec@5 84.375 (77.958) Epoch: [49][11010/11272] Time 0.859 (0.786) Data 0.002 (0.002) Loss 2.1377 (2.0384) Prec@1 48.750 (47.445) Prec@5 72.500 (77.959) Epoch: [49][11020/11272] Time 0.861 (0.786) Data 0.001 (0.002) Loss 2.0200 (2.0384) Prec@1 44.375 (47.445) Prec@5 81.250 (77.958) Epoch: [49][11030/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.1046 (2.0385) Prec@1 46.250 (47.444) Prec@5 76.250 (77.958) Epoch: [49][11040/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.3186 (2.0385) Prec@1 39.375 (47.442) Prec@5 76.875 (77.957) Epoch: [49][11050/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 2.2330 (2.0385) Prec@1 39.375 (47.442) Prec@5 76.250 (77.958) Epoch: [49][11060/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.0508 (2.0385) Prec@1 45.625 (47.440) Prec@5 78.125 (77.957) Epoch: [49][11070/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.0986 (2.0385) Prec@1 41.875 (47.441) Prec@5 78.125 (77.957) Epoch: [49][11080/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.1162 (2.0385) Prec@1 45.000 (47.440) Prec@5 75.000 (77.957) Epoch: [49][11090/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 1.9743 (2.0386) Prec@1 48.125 (47.438) Prec@5 78.750 (77.956) Epoch: [49][11100/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.7235 (2.0385) Prec@1 50.000 (47.439) Prec@5 85.000 (77.957) Epoch: [49][11110/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7306 (2.0384) Prec@1 56.250 (47.440) Prec@5 81.875 (77.959) Epoch: [49][11120/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1039 (2.0384) Prec@1 48.750 (47.443) Prec@5 76.875 (77.961) Epoch: [49][11130/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.0858 (2.0384) Prec@1 46.250 (47.442) Prec@5 78.125 (77.962) Epoch: [49][11140/11272] Time 0.731 (0.786) Data 0.003 (0.002) Loss 1.9984 (2.0384) Prec@1 47.500 (47.443) Prec@5 81.875 (77.962) Epoch: [49][11150/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.0980 (2.0385) Prec@1 47.500 (47.443) Prec@5 80.625 (77.961) Epoch: [49][11160/11272] Time 0.846 (0.786) Data 0.002 (0.002) Loss 2.0244 (2.0385) Prec@1 46.875 (47.442) Prec@5 78.750 (77.961) Epoch: [49][11170/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 2.0566 (2.0385) Prec@1 45.625 (47.442) Prec@5 75.625 (77.960) Epoch: [49][11180/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0307 (2.0385) Prec@1 50.000 (47.443) Prec@5 78.750 (77.961) Epoch: [49][11190/11272] Time 0.776 (0.786) Data 0.002 (0.002) Loss 1.8951 (2.0385) Prec@1 50.625 (47.442) Prec@5 80.000 (77.960) Epoch: [49][11200/11272] Time 0.889 (0.786) Data 0.002 (0.002) Loss 2.0133 (2.0385) Prec@1 48.125 (47.441) Prec@5 77.500 (77.960) Epoch: [49][11210/11272] Time 0.874 (0.786) Data 0.002 (0.002) Loss 2.2183 (2.0386) Prec@1 45.000 (47.440) Prec@5 75.625 (77.958) Epoch: [49][11220/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.8753 (2.0385) Prec@1 51.250 (47.441) Prec@5 81.875 (77.960) Epoch: [49][11230/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.9785 (2.0385) Prec@1 45.625 (47.443) Prec@5 80.625 (77.960) Epoch: [49][11240/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.9507 (2.0384) Prec@1 46.250 (47.443) Prec@5 78.750 (77.962) Epoch: [49][11250/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.9770 (2.0384) Prec@1 53.750 (47.444) Prec@5 80.625 (77.961) Epoch: [49][11260/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 2.2846 (2.0384) Prec@1 38.750 (47.443) Prec@5 73.750 (77.960) Epoch: [49][11270/11272] Time 0.776 (0.786) Data 0.000 (0.002) Loss 2.2621 (2.0385) Prec@1 41.875 (47.441) Prec@5 74.375 (77.960) Test: [0/229] Time 2.086 (2.086) Loss 1.0687 (1.0687) Prec@1 65.625 (65.625) Prec@5 95.000 (95.000) Test: [10/229] Time 0.343 (0.530) Loss 1.2792 (1.6225) Prec@1 61.875 (55.341) Prec@5 95.000 (87.670) Test: [20/229] Time 0.454 (0.457) Loss 2.1926 (1.7393) Prec@1 47.500 (52.887) Prec@5 71.875 (85.030) Test: [30/229] Time 0.366 (0.430) Loss 2.3696 (1.6529) Prec@1 40.000 (55.766) Prec@5 76.875 (85.827) Test: [40/229] Time 0.426 (0.419) Loss 0.5073 (1.7086) Prec@1 90.000 (54.726) Prec@5 94.375 (84.985) Test: [50/229] Time 0.362 (0.413) Loss 2.1152 (1.7486) Prec@1 40.000 (53.517) Prec@5 81.875 (84.056) Test: [60/229] Time 0.326 (0.409) Loss 2.3825 (1.7492) Prec@1 35.625 (53.422) Prec@5 76.250 (83.822) Test: [70/229] Time 0.418 (0.406) Loss 1.4042 (1.7709) Prec@1 67.500 (52.711) Prec@5 84.375 (83.680) Test: [80/229] Time 0.355 (0.403) Loss 2.1793 (1.7921) Prec@1 38.750 (51.906) Prec@5 80.000 (83.565) Test: [90/229] Time 0.427 (0.400) Loss 1.4795 (1.7915) Prec@1 65.000 (52.060) Prec@5 81.875 (83.654) Test: [100/229] Time 0.335 (0.398) Loss 2.0700 (1.7805) Prec@1 47.500 (52.351) Prec@5 83.125 (83.738) Test: [110/229] Time 0.414 (0.398) Loss 1.5028 (1.7661) Prec@1 58.125 (52.646) Prec@5 85.625 (83.874) Test: [120/229] Time 0.344 (0.397) Loss 2.9034 (1.7826) Prec@1 32.500 (52.066) Prec@5 73.125 (83.616) Test: [130/229] Time 0.297 (0.395) Loss 1.2636 (1.7571) Prec@1 65.625 (52.710) Prec@5 90.625 (83.888) Test: [140/229] Time 0.409 (0.395) Loss 1.8321 (1.7706) Prec@1 48.750 (52.318) Prec@5 81.875 (83.759) Test: [150/229] Time 0.341 (0.394) Loss 0.9902 (1.7845) Prec@1 76.250 (51.954) Prec@5 90.625 (83.626) Test: [160/229] Time 0.402 (0.394) Loss 1.6892 (1.7884) Prec@1 61.875 (51.805) Prec@5 87.500 (83.618) Test: [170/229] Time 0.391 (0.393) Loss 1.8693 (1.8004) Prec@1 50.000 (51.429) Prec@5 83.125 (83.494) Test: [180/229] Time 0.400 (0.393) Loss 2.8249 (1.8106) Prec@1 30.625 (51.350) Prec@5 58.125 (83.204) Test: [190/229] Time 0.427 (0.392) Loss 1.6482 (1.8030) Prec@1 55.625 (51.639) Prec@5 88.750 (83.328) Test: [200/229] Time 0.329 (0.392) Loss 1.7874 (1.7926) Prec@1 49.375 (51.748) Prec@5 81.250 (83.526) Test: [210/229] Time 0.421 (0.391) Loss 1.0462 (1.7817) Prec@1 66.250 (52.073) Prec@5 94.375 (83.729) Test: [220/229] Time 0.357 (0.391) Loss 1.5337 (1.7713) Prec@1 56.875 (52.418) Prec@5 87.500 (83.812) * Prec@1 52.736 Prec@5 83.891 Epoch: [50][0/11272] Time 3.250 (3.250) Data 2.373 (2.373) Loss 2.1788 (2.1788) Prec@1 48.750 (48.750) Prec@5 73.750 (73.750) Epoch: [50][10/11272] Time 0.838 (1.010) Data 0.001 (0.217) Loss 1.8241 (2.0436) Prec@1 51.875 (48.125) Prec@5 81.875 (77.159) Epoch: [50][20/11272] Time 0.833 (0.902) Data 0.001 (0.114) Loss 2.1621 (1.9984) Prec@1 43.125 (48.482) Prec@5 71.250 (77.798) Epoch: [50][30/11272] Time 0.715 (0.865) Data 0.001 (0.078) Loss 1.8351 (1.9903) Prec@1 50.625 (48.266) Prec@5 83.125 (78.367) Epoch: [50][40/11272] Time 0.751 (0.842) Data 0.002 (0.059) Loss 2.1241 (2.0073) Prec@1 42.500 (47.912) Prec@5 75.000 (78.018) Epoch: [50][50/11272] Time 0.854 (0.835) Data 0.002 (0.048) Loss 2.3693 (2.0159) Prec@1 42.500 (47.990) Prec@5 73.125 (77.745) Epoch: [50][60/11272] Time 0.812 (0.825) Data 0.001 (0.040) Loss 2.0240 (2.0145) Prec@1 45.000 (47.982) Prec@5 76.250 (77.828) Epoch: [50][70/11272] Time 0.738 (0.820) Data 0.001 (0.035) Loss 1.9173 (2.0105) Prec@1 47.500 (48.099) Prec@5 79.375 (77.975) Epoch: [50][80/11272] Time 0.883 (0.817) Data 0.002 (0.031) Loss 2.0819 (2.0111) Prec@1 47.500 (48.264) Prec@5 81.250 (78.040) Epoch: [50][90/11272] Time 0.841 (0.813) Data 0.001 (0.027) Loss 1.6965 (2.0123) Prec@1 53.750 (48.255) Prec@5 86.875 (78.084) Epoch: [50][100/11272] Time 0.715 (0.810) Data 0.001 (0.025) Loss 2.1415 (2.0135) Prec@1 42.500 (48.150) Prec@5 74.375 (78.113) Epoch: [50][110/11272] Time 0.727 (0.807) Data 0.001 (0.023) Loss 2.0546 (2.0131) Prec@1 51.875 (48.187) Prec@5 78.750 (78.176) Epoch: [50][120/11272] Time 0.824 (0.805) Data 0.001 (0.021) Loss 1.9633 (2.0115) Prec@1 47.500 (48.187) Prec@5 82.500 (78.151) Epoch: [50][130/11272] Time 0.833 (0.804) Data 0.001 (0.020) Loss 1.8180 (2.0065) Prec@1 57.500 (48.302) Prec@5 83.125 (78.211) Epoch: [50][140/11272] Time 0.735 (0.802) Data 0.001 (0.018) Loss 2.1793 (2.0094) Prec@1 46.250 (48.245) Prec@5 76.250 (78.231) Epoch: [50][150/11272] Time 0.761 (0.801) Data 0.001 (0.017) Loss 1.6267 (2.0067) Prec@1 56.875 (48.286) Prec@5 86.250 (78.291) Epoch: [50][160/11272] Time 0.817 (0.801) Data 0.001 (0.016) Loss 2.0147 (2.0123) Prec@1 49.375 (48.160) Prec@5 80.000 (78.199) Epoch: [50][170/11272] Time 0.825 (0.800) Data 0.002 (0.015) Loss 1.9203 (2.0127) Prec@1 50.625 (48.099) Prec@5 83.750 (78.227) Epoch: [50][180/11272] Time 0.727 (0.799) Data 0.001 (0.014) Loss 1.9615 (2.0095) Prec@1 47.500 (48.149) Prec@5 81.250 (78.260) Epoch: [50][190/11272] Time 0.739 (0.798) Data 0.001 (0.014) Loss 1.9304 (2.0076) Prec@1 44.375 (48.118) Prec@5 78.125 (78.344) Epoch: [50][200/11272] Time 0.825 (0.797) Data 0.001 (0.013) Loss 1.9700 (2.0086) Prec@1 48.750 (48.050) Prec@5 78.750 (78.361) Epoch: [50][210/11272] Time 0.729 (0.796) Data 0.003 (0.013) Loss 1.9683 (2.0075) Prec@1 51.875 (48.048) Prec@5 80.000 (78.359) Epoch: [50][220/11272] Time 0.755 (0.795) Data 0.002 (0.012) Loss 2.0440 (2.0076) Prec@1 46.250 (48.032) Prec@5 78.125 (78.348) Epoch: [50][230/11272] Time 0.803 (0.795) Data 0.002 (0.012) Loss 1.9616 (2.0086) Prec@1 46.250 (48.049) Prec@5 76.875 (78.312) Epoch: [50][240/11272] Time 0.832 (0.794) Data 0.001 (0.011) Loss 2.0059 (2.0090) Prec@1 47.500 (48.102) Prec@5 80.000 (78.260) Epoch: [50][250/11272] Time 0.724 (0.794) Data 0.001 (0.011) Loss 2.0382 (2.0097) Prec@1 45.625 (48.083) Prec@5 75.000 (78.245) Epoch: [50][260/11272] Time 0.732 (0.794) Data 0.001 (0.010) Loss 1.8894 (2.0083) Prec@1 52.500 (48.180) Prec@5 79.375 (78.285) Epoch: [50][270/11272] Time 0.824 (0.794) Data 0.001 (0.010) Loss 2.0124 (2.0066) Prec@1 48.750 (48.238) Prec@5 76.875 (78.298) Epoch: [50][280/11272] Time 0.842 (0.794) Data 0.002 (0.010) Loss 2.2351 (2.0044) Prec@1 44.375 (48.292) Prec@5 75.000 (78.316) Epoch: [50][290/11272] Time 0.739 (0.793) Data 0.002 (0.010) Loss 1.6740 (2.0034) Prec@1 55.000 (48.280) Prec@5 83.750 (78.318) Epoch: [50][300/11272] Time 0.720 (0.793) Data 0.001 (0.009) Loss 2.0787 (2.0007) Prec@1 48.750 (48.343) Prec@5 74.375 (78.370) Epoch: [50][310/11272] Time 0.832 (0.793) Data 0.001 (0.009) Loss 2.1707 (2.0031) Prec@1 41.875 (48.266) Prec@5 74.375 (78.334) Epoch: [50][320/11272] Time 0.812 (0.792) Data 0.001 (0.009) Loss 2.1313 (2.0013) Prec@1 45.000 (48.267) Prec@5 75.000 (78.372) Epoch: [50][330/11272] Time 0.718 (0.792) Data 0.001 (0.009) Loss 2.1362 (2.0034) Prec@1 45.625 (48.208) Prec@5 74.375 (78.352) Epoch: [50][340/11272] Time 0.789 (0.792) Data 0.001 (0.008) Loss 2.0440 (2.0051) Prec@1 44.375 (48.165) Prec@5 81.250 (78.363) Epoch: [50][350/11272] Time 0.847 (0.791) Data 0.002 (0.008) Loss 2.0868 (2.0057) Prec@1 46.875 (48.173) Prec@5 74.375 (78.360) Epoch: [50][360/11272] Time 0.739 (0.792) Data 0.001 (0.008) Loss 2.2050 (2.0068) Prec@1 46.875 (48.156) Prec@5 72.500 (78.345) Epoch: [50][370/11272] Time 0.724 (0.791) Data 0.001 (0.008) Loss 1.8894 (2.0077) Prec@1 47.500 (48.147) Prec@5 80.625 (78.327) Epoch: [50][380/11272] Time 0.845 (0.791) Data 0.001 (0.008) Loss 1.7917 (2.0098) Prec@1 53.125 (48.079) Prec@5 81.250 (78.253) Epoch: [50][390/11272] Time 0.808 (0.791) Data 0.001 (0.007) Loss 1.8393 (2.0087) Prec@1 50.000 (48.085) Prec@5 81.875 (78.262) Epoch: [50][400/11272] Time 0.744 (0.791) Data 0.002 (0.007) Loss 2.1987 (2.0113) Prec@1 45.000 (48.017) Prec@5 78.125 (78.222) Epoch: [50][410/11272] Time 0.723 (0.790) Data 0.002 (0.007) Loss 2.0245 (2.0120) Prec@1 46.250 (47.991) Prec@5 77.500 (78.207) Epoch: [50][420/11272] Time 0.815 (0.790) Data 0.001 (0.007) Loss 1.9248 (2.0119) Prec@1 46.875 (47.975) Prec@5 80.625 (78.229) Epoch: [50][430/11272] Time 0.828 (0.790) Data 0.001 (0.007) Loss 2.0152 (2.0135) Prec@1 50.000 (47.912) Prec@5 80.000 (78.228) Epoch: [50][440/11272] Time 0.720 (0.790) Data 0.001 (0.007) Loss 2.1276 (2.0147) Prec@1 47.500 (47.884) Prec@5 76.875 (78.213) Epoch: [50][450/11272] Time 0.721 (0.790) Data 0.001 (0.007) Loss 2.1054 (2.0150) Prec@1 47.500 (47.896) Prec@5 78.750 (78.234) Epoch: [50][460/11272] Time 0.839 (0.790) Data 0.001 (0.007) Loss 1.9721 (2.0156) Prec@1 48.750 (47.890) Prec@5 76.250 (78.243) Epoch: [50][470/11272] Time 0.736 (0.790) Data 0.003 (0.006) Loss 1.9446 (2.0161) Prec@1 50.000 (47.877) Prec@5 81.875 (78.238) Epoch: [50][480/11272] Time 0.741 (0.790) Data 0.001 (0.006) Loss 1.9615 (2.0159) Prec@1 48.750 (47.887) Prec@5 77.500 (78.238) Epoch: [50][490/11272] Time 0.823 (0.789) Data 0.001 (0.006) Loss 2.1277 (2.0149) Prec@1 46.875 (47.911) Prec@5 75.625 (78.254) Epoch: [50][500/11272] Time 0.855 (0.789) Data 0.002 (0.006) Loss 2.0467 (2.0151) Prec@1 45.000 (47.884) Prec@5 78.125 (78.260) Epoch: [50][510/11272] Time 0.711 (0.789) Data 0.001 (0.006) Loss 2.1461 (2.0149) Prec@1 45.625 (47.907) Prec@5 72.500 (78.253) Epoch: [50][520/11272] Time 0.703 (0.789) Data 0.001 (0.006) Loss 2.1041 (2.0157) Prec@1 44.375 (47.909) Prec@5 78.750 (78.262) Epoch: [50][530/11272] Time 0.876 (0.789) Data 0.001 (0.006) Loss 1.8674 (2.0152) Prec@1 44.375 (47.891) Prec@5 81.875 (78.259) Epoch: [50][540/11272] Time 0.814 (0.789) Data 0.001 (0.006) Loss 1.7475 (2.0147) Prec@1 55.625 (47.921) Prec@5 80.000 (78.265) Epoch: [50][550/11272] Time 0.737 (0.789) Data 0.001 (0.006) Loss 2.0384 (2.0153) Prec@1 48.750 (47.925) Prec@5 78.750 (78.260) Epoch: [50][560/11272] Time 0.732 (0.789) Data 0.001 (0.006) Loss 1.8652 (2.0149) Prec@1 51.875 (47.929) Prec@5 83.125 (78.263) Epoch: [50][570/11272] Time 0.828 (0.789) Data 0.001 (0.006) Loss 2.1283 (2.0153) Prec@1 43.125 (47.919) Prec@5 75.625 (78.263) Epoch: [50][580/11272] Time 0.803 (0.789) Data 0.001 (0.005) Loss 1.8775 (2.0149) Prec@1 53.125 (47.940) Prec@5 80.625 (78.275) Epoch: [50][590/11272] Time 0.729 (0.789) Data 0.001 (0.005) Loss 1.8802 (2.0151) Prec@1 48.125 (47.924) Prec@5 83.750 (78.270) Epoch: [50][600/11272] Time 0.872 (0.789) Data 0.001 (0.005) Loss 1.9748 (2.0137) Prec@1 48.125 (47.939) Prec@5 76.250 (78.296) Epoch: [50][610/11272] Time 0.835 (0.789) Data 0.001 (0.005) Loss 1.9973 (2.0140) Prec@1 48.750 (47.927) Prec@5 76.875 (78.299) Epoch: [50][620/11272] Time 0.776 (0.788) Data 0.001 (0.005) Loss 1.9729 (2.0138) Prec@1 48.125 (47.938) Prec@5 78.750 (78.303) Epoch: [50][630/11272] Time 0.741 (0.788) Data 0.002 (0.005) Loss 2.0340 (2.0152) Prec@1 46.875 (47.905) Prec@5 76.875 (78.278) Epoch: [50][640/11272] Time 0.830 (0.789) Data 0.001 (0.005) Loss 2.1825 (2.0157) Prec@1 41.250 (47.907) Prec@5 76.250 (78.286) Epoch: [50][650/11272] Time 0.851 (0.789) Data 0.001 (0.005) Loss 2.2266 (2.0169) Prec@1 45.000 (47.892) Prec@5 72.500 (78.266) Epoch: [50][660/11272] Time 0.721 (0.788) Data 0.001 (0.005) Loss 2.0100 (2.0153) Prec@1 44.375 (47.916) Prec@5 78.125 (78.308) Epoch: [50][670/11272] Time 0.711 (0.788) Data 0.001 (0.005) Loss 2.1818 (2.0150) Prec@1 47.500 (47.933) Prec@5 75.625 (78.322) Epoch: [50][680/11272] Time 0.838 (0.788) Data 0.001 (0.005) Loss 1.9941 (2.0141) Prec@1 51.250 (47.952) Prec@5 75.625 (78.343) Epoch: [50][690/11272] Time 0.842 (0.788) Data 0.001 (0.005) Loss 2.1458 (2.0148) Prec@1 42.500 (47.924) Prec@5 76.875 (78.332) Epoch: [50][700/11272] Time 0.712 (0.788) Data 0.001 (0.005) Loss 2.0468 (2.0149) Prec@1 40.000 (47.904) Prec@5 80.000 (78.328) Epoch: [50][710/11272] Time 0.726 (0.788) Data 0.002 (0.005) Loss 2.1738 (2.0145) Prec@1 44.375 (47.921) Prec@5 75.625 (78.354) Epoch: [50][720/11272] Time 0.865 (0.788) Data 0.001 (0.005) Loss 2.0180 (2.0141) Prec@1 48.750 (47.914) Prec@5 81.875 (78.371) Epoch: [50][730/11272] Time 0.834 (0.788) Data 0.001 (0.005) Loss 2.0961 (2.0138) Prec@1 45.000 (47.933) Prec@5 76.250 (78.383) Epoch: [50][740/11272] Time 0.720 (0.788) Data 0.001 (0.005) Loss 2.1917 (2.0142) Prec@1 45.625 (47.926) Prec@5 78.750 (78.381) Epoch: [50][750/11272] Time 0.848 (0.788) Data 0.002 (0.005) Loss 1.9409 (2.0134) Prec@1 50.625 (47.945) Prec@5 80.000 (78.391) Epoch: [50][760/11272] Time 0.822 (0.788) Data 0.001 (0.005) Loss 2.2895 (2.0143) Prec@1 40.000 (47.938) Prec@5 72.500 (78.370) Epoch: [50][770/11272] Time 0.728 (0.787) Data 0.001 (0.004) Loss 2.1683 (2.0141) Prec@1 48.125 (47.943) Prec@5 75.000 (78.384) Epoch: [50][780/11272] Time 0.723 (0.787) Data 0.001 (0.004) Loss 1.6747 (2.0135) Prec@1 53.125 (47.957) Prec@5 84.375 (78.412) Epoch: [50][790/11272] Time 0.848 (0.788) Data 0.001 (0.004) Loss 1.9499 (2.0140) Prec@1 52.500 (47.938) Prec@5 76.250 (78.405) Epoch: [50][800/11272] Time 0.813 (0.788) Data 0.001 (0.004) Loss 2.0006 (2.0153) Prec@1 53.125 (47.919) Prec@5 76.875 (78.376) Epoch: [50][810/11272] Time 0.749 (0.788) Data 0.001 (0.004) Loss 1.8142 (2.0158) Prec@1 50.625 (47.896) Prec@5 84.375 (78.374) Epoch: [50][820/11272] Time 0.737 (0.788) Data 0.002 (0.004) Loss 2.1216 (2.0159) Prec@1 46.250 (47.899) Prec@5 73.750 (78.365) Epoch: [50][830/11272] Time 0.831 (0.788) Data 0.001 (0.004) Loss 1.8503 (2.0155) Prec@1 51.250 (47.895) Prec@5 83.750 (78.387) Epoch: [50][840/11272] Time 0.806 (0.788) Data 0.001 (0.004) Loss 2.0630 (2.0164) Prec@1 45.000 (47.860) Prec@5 79.375 (78.368) Epoch: [50][850/11272] Time 0.724 (0.787) Data 0.001 (0.004) Loss 2.0902 (2.0167) Prec@1 44.375 (47.859) Prec@5 78.125 (78.370) Epoch: [50][860/11272] Time 0.740 (0.787) Data 0.001 (0.004) Loss 1.9952 (2.0159) Prec@1 41.250 (47.873) Prec@5 80.000 (78.388) Epoch: [50][870/11272] Time 0.811 (0.787) Data 0.001 (0.004) Loss 2.1807 (2.0161) Prec@1 45.000 (47.872) Prec@5 72.500 (78.390) Epoch: [50][880/11272] Time 0.719 (0.787) Data 0.001 (0.004) Loss 2.0814 (2.0162) Prec@1 48.125 (47.872) Prec@5 73.750 (78.378) Epoch: [50][890/11272] Time 0.720 (0.787) Data 0.001 (0.004) Loss 1.8892 (2.0157) Prec@1 50.625 (47.877) Prec@5 80.625 (78.386) Epoch: [50][900/11272] Time 0.843 (0.787) Data 0.001 (0.004) Loss 1.9733 (2.0154) Prec@1 48.750 (47.872) Prec@5 78.125 (78.390) Epoch: [50][910/11272] Time 0.906 (0.787) Data 0.002 (0.004) Loss 2.0989 (2.0154) Prec@1 45.625 (47.862) Prec@5 79.375 (78.403) Epoch: [50][920/11272] Time 0.720 (0.787) Data 0.001 (0.004) Loss 2.0057 (2.0154) Prec@1 44.375 (47.860) Prec@5 78.125 (78.406) Epoch: [50][930/11272] Time 0.755 (0.787) Data 0.002 (0.004) Loss 2.0128 (2.0157) Prec@1 46.250 (47.853) Prec@5 76.875 (78.395) Epoch: [50][940/11272] Time 0.833 (0.787) Data 0.002 (0.004) Loss 2.1239 (2.0156) Prec@1 50.000 (47.856) Prec@5 76.250 (78.395) Epoch: [50][950/11272] Time 0.820 (0.787) Data 0.001 (0.004) Loss 2.1489 (2.0153) Prec@1 43.125 (47.865) Prec@5 78.125 (78.407) Epoch: [50][960/11272] Time 0.719 (0.787) Data 0.001 (0.004) Loss 2.2341 (2.0158) Prec@1 46.250 (47.846) Prec@5 75.625 (78.386) Epoch: [50][970/11272] Time 0.737 (0.787) Data 0.001 (0.004) Loss 1.9662 (2.0158) Prec@1 45.625 (47.845) Prec@5 80.625 (78.399) Epoch: [50][980/11272] Time 0.866 (0.787) Data 0.002 (0.004) Loss 2.1503 (2.0160) Prec@1 46.875 (47.837) Prec@5 75.625 (78.402) Epoch: [50][990/11272] Time 0.819 (0.787) Data 0.001 (0.004) Loss 2.0320 (2.0162) Prec@1 50.625 (47.834) Prec@5 77.500 (78.389) Epoch: [50][1000/11272] Time 0.736 (0.787) Data 0.001 (0.004) Loss 2.0191 (2.0163) Prec@1 48.125 (47.840) Prec@5 78.125 (78.385) Epoch: [50][1010/11272] Time 0.817 (0.787) Data 0.001 (0.004) Loss 1.8633 (2.0160) Prec@1 51.250 (47.849) Prec@5 80.625 (78.393) Epoch: [50][1020/11272] Time 0.870 (0.787) Data 0.002 (0.004) Loss 1.9471 (2.0156) Prec@1 44.375 (47.843) Prec@5 83.125 (78.411) Epoch: [50][1030/11272] Time 0.736 (0.787) Data 0.002 (0.004) Loss 1.9605 (2.0159) Prec@1 50.000 (47.830) Prec@5 78.125 (78.400) Epoch: [50][1040/11272] Time 0.743 (0.787) Data 0.002 (0.004) Loss 2.1624 (2.0158) Prec@1 42.500 (47.822) Prec@5 78.125 (78.410) Epoch: [50][1050/11272] Time 0.824 (0.787) Data 0.001 (0.004) Loss 2.1759 (2.0154) Prec@1 47.500 (47.834) Prec@5 71.875 (78.411) Epoch: [50][1060/11272] Time 0.818 (0.787) Data 0.001 (0.004) Loss 2.1053 (2.0157) Prec@1 47.500 (47.832) Prec@5 76.875 (78.396) Epoch: [50][1070/11272] Time 0.726 (0.787) Data 0.001 (0.004) Loss 2.0666 (2.0156) Prec@1 50.625 (47.838) Prec@5 78.125 (78.396) Epoch: [50][1080/11272] Time 0.738 (0.786) Data 0.001 (0.004) Loss 1.7904 (2.0147) Prec@1 52.500 (47.854) Prec@5 82.500 (78.412) Epoch: [50][1090/11272] Time 0.815 (0.786) Data 0.001 (0.004) Loss 2.1949 (2.0151) Prec@1 43.125 (47.852) Prec@5 75.625 (78.409) Epoch: [50][1100/11272] Time 0.816 (0.786) Data 0.002 (0.004) Loss 2.0753 (2.0149) Prec@1 46.875 (47.863) Prec@5 78.125 (78.418) Epoch: [50][1110/11272] Time 0.760 (0.787) Data 0.002 (0.004) Loss 1.9515 (2.0141) Prec@1 46.875 (47.872) Prec@5 78.750 (78.427) Epoch: [50][1120/11272] Time 0.720 (0.787) Data 0.001 (0.004) Loss 2.3630 (2.0147) Prec@1 46.250 (47.862) Prec@5 73.750 (78.417) Epoch: [50][1130/11272] Time 0.812 (0.787) Data 0.001 (0.004) Loss 2.2695 (2.0147) Prec@1 45.000 (47.867) Prec@5 75.000 (78.422) Epoch: [50][1140/11272] Time 0.720 (0.786) Data 0.003 (0.003) Loss 2.1339 (2.0146) Prec@1 42.500 (47.859) Prec@5 75.625 (78.425) Epoch: [50][1150/11272] Time 0.705 (0.787) Data 0.001 (0.003) Loss 2.0498 (2.0142) Prec@1 46.875 (47.872) Prec@5 77.500 (78.431) Epoch: [50][1160/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 2.0135 (2.0141) Prec@1 50.625 (47.877) Prec@5 78.125 (78.423) Epoch: [50][1170/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 2.0694 (2.0148) Prec@1 43.750 (47.865) Prec@5 76.250 (78.406) Epoch: [50][1180/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 2.1161 (2.0151) Prec@1 50.000 (47.855) Prec@5 76.875 (78.410) Epoch: [50][1190/11272] Time 0.721 (0.786) Data 0.001 (0.003) Loss 1.9554 (2.0143) Prec@1 46.250 (47.867) Prec@5 80.625 (78.429) Epoch: [50][1200/11272] Time 0.836 (0.786) Data 0.001 (0.003) Loss 2.0183 (2.0141) Prec@1 48.125 (47.869) Prec@5 80.625 (78.433) Epoch: [50][1210/11272] Time 0.821 (0.786) Data 0.002 (0.003) Loss 2.0639 (2.0147) Prec@1 42.500 (47.857) Prec@5 76.250 (78.420) Epoch: [50][1220/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 1.8910 (2.0141) Prec@1 50.000 (47.878) Prec@5 79.375 (78.426) Epoch: [50][1230/11272] Time 0.702 (0.786) Data 0.001 (0.003) Loss 1.6962 (2.0132) Prec@1 50.625 (47.881) Prec@5 85.625 (78.438) Epoch: [50][1240/11272] Time 0.830 (0.786) Data 0.001 (0.003) Loss 1.9472 (2.0129) Prec@1 51.250 (47.883) Prec@5 78.750 (78.435) Epoch: [50][1250/11272] Time 0.809 (0.786) Data 0.001 (0.003) Loss 2.3181 (2.0135) Prec@1 49.375 (47.880) Prec@5 70.625 (78.420) Epoch: [50][1260/11272] Time 0.715 (0.786) Data 0.002 (0.003) Loss 1.8844 (2.0132) Prec@1 48.750 (47.886) Prec@5 84.375 (78.427) Epoch: [50][1270/11272] Time 0.863 (0.786) Data 0.001 (0.003) Loss 1.8648 (2.0133) Prec@1 51.250 (47.880) Prec@5 80.625 (78.418) Epoch: [50][1280/11272] Time 0.827 (0.786) Data 0.001 (0.003) Loss 1.8686 (2.0131) Prec@1 41.250 (47.875) Prec@5 83.750 (78.427) Epoch: [50][1290/11272] Time 0.729 (0.786) Data 0.001 (0.003) Loss 1.8269 (2.0138) Prec@1 51.250 (47.867) Prec@5 83.750 (78.400) Epoch: [50][1300/11272] Time 0.726 (0.786) Data 0.001 (0.003) Loss 1.9823 (2.0130) Prec@1 48.750 (47.893) Prec@5 80.625 (78.413) Epoch: [50][1310/11272] Time 0.836 (0.786) Data 0.001 (0.003) Loss 2.1259 (2.0131) Prec@1 45.000 (47.886) Prec@5 73.750 (78.413) Epoch: [50][1320/11272] Time 0.846 (0.786) Data 0.002 (0.003) Loss 1.8234 (2.0129) Prec@1 55.000 (47.899) Prec@5 80.000 (78.422) Epoch: [50][1330/11272] Time 0.752 (0.786) Data 0.002 (0.003) Loss 2.1170 (2.0131) Prec@1 39.375 (47.880) Prec@5 77.500 (78.421) Epoch: [50][1340/11272] Time 0.776 (0.786) Data 0.001 (0.003) Loss 2.1445 (2.0128) Prec@1 46.875 (47.872) Prec@5 78.750 (78.421) Epoch: [50][1350/11272] Time 0.879 (0.787) Data 0.001 (0.003) Loss 2.1253 (2.0136) Prec@1 48.750 (47.853) Prec@5 76.875 (78.413) Epoch: [50][1360/11272] Time 0.845 (0.787) Data 0.001 (0.003) Loss 2.0067 (2.0135) Prec@1 47.500 (47.859) Prec@5 81.875 (78.420) Epoch: [50][1370/11272] Time 0.736 (0.787) Data 0.002 (0.003) Loss 2.1198 (2.0140) Prec@1 45.000 (47.840) Prec@5 74.375 (78.408) Epoch: [50][1380/11272] Time 0.740 (0.787) Data 0.001 (0.003) Loss 2.1796 (2.0139) Prec@1 42.500 (47.843) Prec@5 74.375 (78.404) Epoch: [50][1390/11272] Time 0.888 (0.787) Data 0.001 (0.003) Loss 2.1012 (2.0144) Prec@1 42.500 (47.826) Prec@5 75.000 (78.391) Epoch: [50][1400/11272] Time 0.783 (0.787) Data 0.003 (0.003) Loss 2.1436 (2.0147) Prec@1 43.750 (47.819) Prec@5 78.125 (78.384) Epoch: [50][1410/11272] Time 0.726 (0.788) Data 0.001 (0.003) Loss 1.9615 (2.0145) Prec@1 45.625 (47.814) Prec@5 81.250 (78.393) Epoch: [50][1420/11272] Time 0.846 (0.787) Data 0.002 (0.003) Loss 2.1927 (2.0145) Prec@1 46.250 (47.838) Prec@5 75.000 (78.395) Epoch: [50][1430/11272] Time 0.858 (0.787) Data 0.002 (0.003) Loss 2.0515 (2.0141) Prec@1 50.625 (47.855) Prec@5 78.125 (78.396) Epoch: [50][1440/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 2.0372 (2.0139) Prec@1 47.500 (47.861) Prec@5 78.125 (78.397) Epoch: [50][1450/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 1.9369 (2.0137) Prec@1 47.500 (47.857) Prec@5 81.250 (78.399) Epoch: [50][1460/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 1.8358 (2.0135) Prec@1 51.250 (47.868) Prec@5 80.000 (78.407) Epoch: [50][1470/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 2.1766 (2.0137) Prec@1 44.375 (47.862) Prec@5 74.375 (78.397) Epoch: [50][1480/11272] Time 0.706 (0.787) Data 0.001 (0.003) Loss 1.9460 (2.0141) Prec@1 46.250 (47.848) Prec@5 81.875 (78.399) Epoch: [50][1490/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 2.1704 (2.0138) Prec@1 48.125 (47.850) Prec@5 80.625 (78.411) Epoch: [50][1500/11272] Time 0.810 (0.787) Data 0.001 (0.003) Loss 1.8853 (2.0136) Prec@1 51.875 (47.858) Prec@5 81.250 (78.410) Epoch: [50][1510/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 1.8322 (2.0136) Prec@1 50.000 (47.858) Prec@5 83.750 (78.413) Epoch: [50][1520/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.8765 (2.0134) Prec@1 48.750 (47.857) Prec@5 77.500 (78.412) Epoch: [50][1530/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 1.9290 (2.0135) Prec@1 47.500 (47.857) Prec@5 80.000 (78.407) Epoch: [50][1540/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 2.1769 (2.0132) Prec@1 46.875 (47.869) Prec@5 75.000 (78.416) Epoch: [50][1550/11272] Time 0.722 (0.787) Data 0.001 (0.003) Loss 2.0036 (2.0131) Prec@1 48.125 (47.872) Prec@5 80.000 (78.416) Epoch: [50][1560/11272] Time 0.726 (0.787) Data 0.001 (0.003) Loss 2.0226 (2.0131) Prec@1 46.250 (47.857) Prec@5 78.125 (78.413) Epoch: [50][1570/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 2.0988 (2.0135) Prec@1 43.125 (47.852) Prec@5 75.625 (78.402) Epoch: [50][1580/11272] Time 0.827 (0.787) Data 0.002 (0.003) Loss 1.6648 (2.0136) Prec@1 54.375 (47.853) Prec@5 86.250 (78.403) Epoch: [50][1590/11272] Time 0.737 (0.787) Data 0.002 (0.003) Loss 2.3048 (2.0141) Prec@1 41.875 (47.852) Prec@5 76.250 (78.403) Epoch: [50][1600/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.8920 (2.0145) Prec@1 48.750 (47.839) Prec@5 81.875 (78.394) Epoch: [50][1610/11272] Time 0.848 (0.787) Data 0.001 (0.003) Loss 1.9945 (2.0146) Prec@1 51.875 (47.842) Prec@5 76.250 (78.389) Epoch: [50][1620/11272] Time 0.815 (0.787) Data 0.001 (0.003) Loss 2.1995 (2.0149) Prec@1 41.875 (47.831) Prec@5 75.000 (78.383) Epoch: [50][1630/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.9813 (2.0153) Prec@1 48.125 (47.825) Prec@5 79.375 (78.373) Epoch: [50][1640/11272] Time 0.755 (0.787) Data 0.001 (0.003) Loss 2.1036 (2.0151) Prec@1 48.750 (47.832) Prec@5 75.000 (78.382) Epoch: [50][1650/11272] Time 0.833 (0.787) Data 0.002 (0.003) Loss 1.7571 (2.0152) Prec@1 55.625 (47.826) Prec@5 83.125 (78.382) Epoch: [50][1660/11272] Time 0.871 (0.787) Data 0.002 (0.003) Loss 2.0689 (2.0154) Prec@1 47.500 (47.816) Prec@5 76.875 (78.380) Epoch: [50][1670/11272] Time 0.728 (0.787) Data 0.002 (0.003) Loss 1.9813 (2.0154) Prec@1 46.250 (47.819) Prec@5 79.375 (78.375) Epoch: [50][1680/11272] Time 0.891 (0.787) Data 0.002 (0.003) Loss 1.9430 (2.0156) Prec@1 49.375 (47.813) Prec@5 78.125 (78.367) Epoch: [50][1690/11272] Time 0.849 (0.787) Data 0.001 (0.003) Loss 1.9424 (2.0157) Prec@1 46.250 (47.807) Prec@5 83.750 (78.365) Epoch: [50][1700/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 2.0316 (2.0155) Prec@1 43.125 (47.809) Prec@5 78.750 (78.372) Epoch: [50][1710/11272] Time 0.748 (0.787) Data 0.001 (0.003) Loss 2.0451 (2.0156) Prec@1 43.125 (47.800) Prec@5 78.750 (78.365) Epoch: [50][1720/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 2.1612 (2.0159) Prec@1 48.125 (47.792) Prec@5 78.750 (78.360) Epoch: [50][1730/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.1898 (2.0159) Prec@1 43.125 (47.790) Prec@5 73.750 (78.359) Epoch: [50][1740/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 2.0617 (2.0160) Prec@1 45.625 (47.790) Prec@5 77.500 (78.359) Epoch: [50][1750/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 2.2849 (2.0163) Prec@1 41.250 (47.781) Prec@5 72.500 (78.347) Epoch: [50][1760/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 2.0803 (2.0162) Prec@1 48.750 (47.786) Prec@5 75.000 (78.352) Epoch: [50][1770/11272] Time 0.814 (0.787) Data 0.001 (0.003) Loss 1.8697 (2.0162) Prec@1 49.375 (47.782) Prec@5 80.000 (78.350) Epoch: [50][1780/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 2.0485 (2.0161) Prec@1 46.250 (47.780) Prec@5 76.875 (78.351) Epoch: [50][1790/11272] Time 0.743 (0.787) Data 0.001 (0.003) Loss 1.8620 (2.0161) Prec@1 50.000 (47.778) Prec@5 80.625 (78.351) Epoch: [50][1800/11272] Time 0.828 (0.787) Data 0.001 (0.003) Loss 2.0139 (2.0156) Prec@1 48.750 (47.788) Prec@5 78.125 (78.359) Epoch: [50][1810/11272] Time 0.755 (0.787) Data 0.001 (0.003) Loss 1.9415 (2.0157) Prec@1 51.875 (47.787) Prec@5 80.625 (78.358) Epoch: [50][1820/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 1.9459 (2.0162) Prec@1 46.250 (47.780) Prec@5 80.000 (78.349) Epoch: [50][1830/11272] Time 0.828 (0.787) Data 0.001 (0.003) Loss 2.0865 (2.0165) Prec@1 45.625 (47.772) Prec@5 76.250 (78.342) Epoch: [50][1840/11272] Time 0.827 (0.787) Data 0.002 (0.003) Loss 1.9040 (2.0167) Prec@1 50.000 (47.770) Prec@5 80.625 (78.334) Epoch: [50][1850/11272] Time 0.738 (0.787) Data 0.001 (0.003) Loss 2.2528 (2.0170) Prec@1 41.875 (47.766) Prec@5 71.875 (78.329) Epoch: [50][1860/11272] Time 0.738 (0.787) Data 0.001 (0.003) Loss 1.9589 (2.0172) Prec@1 52.500 (47.764) Prec@5 78.750 (78.321) Epoch: [50][1870/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 1.9046 (2.0173) Prec@1 50.000 (47.756) Prec@5 81.250 (78.320) Epoch: [50][1880/11272] Time 0.823 (0.787) Data 0.002 (0.003) Loss 2.0143 (2.0174) Prec@1 50.625 (47.760) Prec@5 78.750 (78.321) Epoch: [50][1890/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 2.2004 (2.0177) Prec@1 50.625 (47.759) Prec@5 76.875 (78.309) Epoch: [50][1900/11272] Time 0.725 (0.787) Data 0.001 (0.003) Loss 1.9568 (2.0175) Prec@1 50.625 (47.765) Prec@5 78.125 (78.310) Epoch: [50][1910/11272] Time 0.820 (0.787) Data 0.001 (0.003) Loss 2.0465 (2.0178) Prec@1 50.000 (47.763) Prec@5 77.500 (78.298) Epoch: [50][1920/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 1.7682 (2.0180) Prec@1 52.500 (47.763) Prec@5 85.625 (78.295) Epoch: [50][1930/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 2.1027 (2.0182) Prec@1 46.875 (47.761) Prec@5 75.000 (78.295) Epoch: [50][1940/11272] Time 0.872 (0.787) Data 0.001 (0.003) Loss 2.1674 (2.0180) Prec@1 46.875 (47.763) Prec@5 77.500 (78.303) Epoch: [50][1950/11272] Time 0.849 (0.787) Data 0.001 (0.003) Loss 1.7890 (2.0181) Prec@1 53.125 (47.770) Prec@5 81.875 (78.301) Epoch: [50][1960/11272] Time 0.757 (0.787) Data 0.001 (0.003) Loss 2.2553 (2.0183) Prec@1 45.000 (47.765) Prec@5 78.125 (78.298) Epoch: [50][1970/11272] Time 0.738 (0.787) Data 0.002 (0.003) Loss 2.0736 (2.0189) Prec@1 45.625 (47.755) Prec@5 76.875 (78.287) Epoch: [50][1980/11272] Time 0.815 (0.787) Data 0.002 (0.003) Loss 2.0432 (2.0183) Prec@1 46.250 (47.762) Prec@5 80.000 (78.298) Epoch: [50][1990/11272] Time 0.819 (0.787) Data 0.001 (0.003) Loss 2.0911 (2.0182) Prec@1 43.750 (47.772) Prec@5 78.750 (78.301) Epoch: [50][2000/11272] Time 0.748 (0.787) Data 0.001 (0.003) Loss 2.1643 (2.0184) Prec@1 48.125 (47.773) Prec@5 75.000 (78.296) Epoch: [50][2010/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 2.0344 (2.0182) Prec@1 42.500 (47.771) Prec@5 78.750 (78.301) Epoch: [50][2020/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 2.0771 (2.0181) Prec@1 46.250 (47.774) Prec@5 77.500 (78.299) Epoch: [50][2030/11272] Time 0.815 (0.787) Data 0.001 (0.003) Loss 1.9296 (2.0178) Prec@1 50.000 (47.782) Prec@5 81.250 (78.307) Epoch: [50][2040/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.9414 (2.0179) Prec@1 49.375 (47.780) Prec@5 76.875 (78.309) Epoch: [50][2050/11272] Time 0.752 (0.787) Data 0.002 (0.003) Loss 2.1670 (2.0180) Prec@1 50.000 (47.776) Prec@5 73.750 (78.311) Epoch: [50][2060/11272] Time 0.843 (0.787) Data 0.001 (0.003) Loss 2.1036 (2.0179) Prec@1 43.750 (47.773) Prec@5 78.125 (78.312) Epoch: [50][2070/11272] Time 0.732 (0.787) Data 0.003 (0.003) Loss 1.8976 (2.0183) Prec@1 50.000 (47.768) Prec@5 78.125 (78.302) Epoch: [50][2080/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 2.0590 (2.0181) Prec@1 51.875 (47.775) Prec@5 73.750 (78.307) Epoch: [50][2090/11272] Time 0.806 (0.787) Data 0.001 (0.003) Loss 2.2368 (2.0184) Prec@1 43.125 (47.770) Prec@5 73.750 (78.304) Epoch: [50][2100/11272] Time 0.844 (0.787) Data 0.002 (0.003) Loss 1.6806 (2.0180) Prec@1 58.750 (47.779) Prec@5 83.125 (78.313) Epoch: [50][2110/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 2.1886 (2.0182) Prec@1 46.250 (47.771) Prec@5 76.875 (78.307) Epoch: [50][2120/11272] Time 0.730 (0.787) Data 0.001 (0.003) Loss 2.1226 (2.0176) Prec@1 43.125 (47.782) Prec@5 78.750 (78.318) Epoch: [50][2130/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 2.2102 (2.0178) Prec@1 44.375 (47.779) Prec@5 77.500 (78.319) Epoch: [50][2140/11272] Time 0.818 (0.787) Data 0.001 (0.003) Loss 1.9377 (2.0178) Prec@1 53.125 (47.785) Prec@5 78.125 (78.317) Epoch: [50][2150/11272] Time 0.714 (0.787) Data 0.002 (0.003) Loss 2.2654 (2.0181) Prec@1 46.875 (47.776) Prec@5 75.000 (78.316) Epoch: [50][2160/11272] Time 0.802 (0.787) Data 0.002 (0.003) Loss 1.8290 (2.0178) Prec@1 54.375 (47.785) Prec@5 81.250 (78.322) Epoch: [50][2170/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 2.1602 (2.0178) Prec@1 46.250 (47.785) Prec@5 81.250 (78.328) Epoch: [50][2180/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 2.1065 (2.0179) Prec@1 49.375 (47.786) Prec@5 74.375 (78.324) Epoch: [50][2190/11272] Time 0.722 (0.787) Data 0.001 (0.003) Loss 2.2475 (2.0185) Prec@1 37.500 (47.777) Prec@5 75.625 (78.314) Epoch: [50][2200/11272] Time 0.866 (0.787) Data 0.001 (0.002) Loss 1.9942 (2.0187) Prec@1 49.375 (47.775) Prec@5 78.125 (78.309) Epoch: [50][2210/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 1.9260 (2.0188) Prec@1 49.375 (47.776) Prec@5 78.750 (78.305) Epoch: [50][2220/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 2.0831 (2.0188) Prec@1 43.750 (47.777) Prec@5 80.000 (78.304) Epoch: [50][2230/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 2.0358 (2.0189) Prec@1 44.375 (47.782) Prec@5 81.875 (78.297) Epoch: [50][2240/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 2.0838 (2.0190) Prec@1 46.875 (47.782) Prec@5 78.750 (78.298) Epoch: [50][2250/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 2.0683 (2.0188) Prec@1 50.625 (47.792) Prec@5 77.500 (78.306) Epoch: [50][2260/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9803 (2.0189) Prec@1 48.125 (47.791) Prec@5 76.250 (78.299) Epoch: [50][2270/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.0874 (2.0193) Prec@1 44.375 (47.792) Prec@5 73.750 (78.285) Epoch: [50][2280/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 2.1267 (2.0195) Prec@1 51.250 (47.789) Prec@5 74.375 (78.284) Epoch: [50][2290/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.8788 (2.0193) Prec@1 50.000 (47.795) Prec@5 83.125 (78.288) Epoch: [50][2300/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.1114 (2.0194) Prec@1 48.750 (47.791) Prec@5 73.750 (78.285) Epoch: [50][2310/11272] Time 0.707 (0.786) Data 0.001 (0.002) Loss 1.9565 (2.0195) Prec@1 45.000 (47.789) Prec@5 78.125 (78.281) Epoch: [50][2320/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.1082 (2.0195) Prec@1 50.625 (47.792) Prec@5 75.625 (78.280) Epoch: [50][2330/11272] Time 0.731 (0.786) Data 0.003 (0.002) Loss 2.1169 (2.0197) Prec@1 41.875 (47.786) Prec@5 76.250 (78.276) Epoch: [50][2340/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8225 (2.0196) Prec@1 52.500 (47.785) Prec@5 80.625 (78.282) Epoch: [50][2350/11272] Time 0.883 (0.786) Data 0.002 (0.002) Loss 2.1283 (2.0194) Prec@1 44.375 (47.785) Prec@5 76.875 (78.286) Epoch: [50][2360/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.6954 (2.0190) Prec@1 50.000 (47.795) Prec@5 83.125 (78.294) Epoch: [50][2370/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 2.1546 (2.0193) Prec@1 43.125 (47.786) Prec@5 73.125 (78.290) Epoch: [50][2380/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 1.8784 (2.0195) Prec@1 50.000 (47.779) Prec@5 78.750 (78.281) Epoch: [50][2390/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 2.1783 (2.0196) Prec@1 44.375 (47.776) Prec@5 75.625 (78.282) Epoch: [50][2400/11272] Time 0.846 (0.787) Data 0.001 (0.002) Loss 2.1223 (2.0198) Prec@1 44.375 (47.771) Prec@5 76.875 (78.281) Epoch: [50][2410/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.0544 (2.0199) Prec@1 48.750 (47.766) Prec@5 76.875 (78.282) Epoch: [50][2420/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0259 (2.0199) Prec@1 49.375 (47.771) Prec@5 78.750 (78.284) Epoch: [50][2430/11272] Time 0.879 (0.786) Data 0.001 (0.002) Loss 1.9052 (2.0198) Prec@1 48.125 (47.777) Prec@5 78.750 (78.286) Epoch: [50][2440/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.2500 (2.0200) Prec@1 42.500 (47.773) Prec@5 76.875 (78.278) Epoch: [50][2450/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8569 (2.0197) Prec@1 46.250 (47.770) Prec@5 83.125 (78.282) Epoch: [50][2460/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 2.1316 (2.0197) Prec@1 41.250 (47.769) Prec@5 78.125 (78.282) Epoch: [50][2470/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.0348 (2.0195) Prec@1 50.625 (47.775) Prec@5 77.500 (78.286) Epoch: [50][2480/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7041 (2.0195) Prec@1 55.625 (47.779) Prec@5 83.750 (78.285) Epoch: [50][2490/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.0479 (2.0194) Prec@1 48.125 (47.784) Prec@5 78.750 (78.290) Epoch: [50][2500/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 2.1198 (2.0195) Prec@1 52.500 (47.785) Prec@5 81.875 (78.293) Epoch: [50][2510/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.9738 (2.0196) Prec@1 50.000 (47.784) Prec@5 75.625 (78.291) Epoch: [50][2520/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.0210 (2.0197) Prec@1 48.125 (47.783) Prec@5 78.125 (78.290) Epoch: [50][2530/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.8134 (2.0197) Prec@1 52.500 (47.778) Prec@5 80.625 (78.288) Epoch: [50][2540/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 1.7494 (2.0198) Prec@1 55.000 (47.771) Prec@5 81.875 (78.284) Epoch: [50][2550/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.1308 (2.0200) Prec@1 45.625 (47.771) Prec@5 78.125 (78.279) Epoch: [50][2560/11272] Time 0.767 (0.786) Data 0.002 (0.002) Loss 1.9245 (2.0200) Prec@1 50.625 (47.773) Prec@5 76.875 (78.276) Epoch: [50][2570/11272] Time 0.761 (0.786) Data 0.002 (0.002) Loss 2.0710 (2.0201) Prec@1 48.125 (47.772) Prec@5 73.750 (78.273) Epoch: [50][2580/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.0954 (2.0202) Prec@1 46.250 (47.779) Prec@5 78.750 (78.276) Epoch: [50][2590/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.1103 (2.0200) Prec@1 48.125 (47.780) Prec@5 74.375 (78.282) Epoch: [50][2600/11272] Time 0.782 (0.786) Data 0.001 (0.002) Loss 2.1145 (2.0203) Prec@1 46.875 (47.775) Prec@5 78.125 (78.274) Epoch: [50][2610/11272] Time 0.885 (0.787) Data 0.001 (0.002) Loss 2.1543 (2.0205) Prec@1 48.125 (47.772) Prec@5 77.500 (78.270) Epoch: [50][2620/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.9765 (2.0207) Prec@1 48.125 (47.763) Prec@5 82.500 (78.268) Epoch: [50][2630/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9983 (2.0204) Prec@1 49.375 (47.771) Prec@5 76.875 (78.269) Epoch: [50][2640/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.2767 (2.0204) Prec@1 40.625 (47.773) Prec@5 71.875 (78.269) Epoch: [50][2650/11272] Time 0.861 (0.786) Data 0.001 (0.002) Loss 1.8282 (2.0202) Prec@1 46.875 (47.777) Prec@5 85.625 (78.273) Epoch: [50][2660/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.1760 (2.0203) Prec@1 45.625 (47.780) Prec@5 76.250 (78.270) Epoch: [50][2670/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.8795 (2.0203) Prec@1 48.125 (47.778) Prec@5 78.125 (78.271) Epoch: [50][2680/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8010 (2.0201) Prec@1 56.875 (47.789) Prec@5 83.750 (78.277) Epoch: [50][2690/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.0557 (2.0201) Prec@1 47.500 (47.796) Prec@5 76.250 (78.275) Epoch: [50][2700/11272] Time 0.813 (0.786) Data 0.001 (0.002) Loss 2.0942 (2.0201) Prec@1 50.625 (47.796) Prec@5 77.500 (78.275) Epoch: [50][2710/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.1845 (2.0204) Prec@1 45.625 (47.794) Prec@5 75.000 (78.267) Epoch: [50][2720/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 2.0552 (2.0205) Prec@1 51.875 (47.794) Prec@5 78.125 (78.267) Epoch: [50][2730/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 2.0096 (2.0204) Prec@1 50.000 (47.795) Prec@5 76.875 (78.269) Epoch: [50][2740/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 2.1160 (2.0203) Prec@1 46.250 (47.798) Prec@5 75.625 (78.271) Epoch: [50][2750/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.9390 (2.0205) Prec@1 48.125 (47.798) Prec@5 81.875 (78.274) Epoch: [50][2760/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.1127 (2.0205) Prec@1 48.125 (47.801) Prec@5 78.125 (78.275) Epoch: [50][2770/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.8610 (2.0206) Prec@1 50.000 (47.804) Prec@5 79.375 (78.275) Epoch: [50][2780/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.0207 (2.0208) Prec@1 46.250 (47.793) Prec@5 76.250 (78.267) Epoch: [50][2790/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9851 (2.0209) Prec@1 45.625 (47.790) Prec@5 76.250 (78.262) Epoch: [50][2800/11272] Time 0.798 (0.786) Data 0.001 (0.002) Loss 1.8993 (2.0209) Prec@1 46.875 (47.793) Prec@5 80.625 (78.259) Epoch: [50][2810/11272] Time 0.795 (0.786) Data 0.001 (0.002) Loss 2.1032 (2.0210) Prec@1 48.125 (47.792) Prec@5 78.750 (78.256) Epoch: [50][2820/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.9404 (2.0210) Prec@1 48.750 (47.796) Prec@5 75.625 (78.253) Epoch: [50][2830/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9478 (2.0210) Prec@1 48.125 (47.793) Prec@5 80.000 (78.255) Epoch: [50][2840/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.7593 (2.0206) Prec@1 54.375 (47.799) Prec@5 83.125 (78.263) Epoch: [50][2850/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 2.1569 (2.0206) Prec@1 45.625 (47.802) Prec@5 77.500 (78.263) Epoch: [50][2860/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.8340 (2.0205) Prec@1 48.125 (47.805) Prec@5 82.500 (78.261) Epoch: [50][2870/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 2.0776 (2.0204) Prec@1 50.000 (47.805) Prec@5 77.500 (78.267) Epoch: [50][2880/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.7796 (2.0204) Prec@1 52.500 (47.802) Prec@5 79.375 (78.266) Epoch: [50][2890/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1970 (2.0205) Prec@1 43.750 (47.800) Prec@5 73.125 (78.261) Epoch: [50][2900/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 2.0586 (2.0206) Prec@1 44.375 (47.800) Prec@5 80.625 (78.262) Epoch: [50][2910/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 2.2001 (2.0211) Prec@1 43.750 (47.793) Prec@5 73.125 (78.254) Epoch: [50][2920/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9837 (2.0211) Prec@1 48.750 (47.794) Prec@5 79.375 (78.250) Epoch: [50][2930/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.1190 (2.0210) Prec@1 50.625 (47.791) Prec@5 77.500 (78.250) Epoch: [50][2940/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.0858 (2.0212) Prec@1 43.125 (47.787) Prec@5 74.375 (78.242) Epoch: [50][2950/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.8623 (2.0212) Prec@1 50.625 (47.789) Prec@5 80.000 (78.241) Epoch: [50][2960/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9007 (2.0214) Prec@1 53.750 (47.788) Prec@5 80.000 (78.241) Epoch: [50][2970/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 2.1401 (2.0217) Prec@1 43.125 (47.781) Prec@5 79.375 (78.236) Epoch: [50][2980/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9067 (2.0217) Prec@1 48.750 (47.782) Prec@5 81.875 (78.237) Epoch: [50][2990/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.2687 (2.0217) Prec@1 44.375 (47.784) Prec@5 74.375 (78.240) Epoch: [50][3000/11272] Time 0.724 (0.786) Data 0.003 (0.002) Loss 1.9433 (2.0216) Prec@1 45.000 (47.779) Prec@5 81.250 (78.242) Epoch: [50][3010/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9575 (2.0216) Prec@1 52.500 (47.781) Prec@5 82.500 (78.238) Epoch: [50][3020/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.0873 (2.0214) Prec@1 47.500 (47.787) Prec@5 73.125 (78.240) Epoch: [50][3030/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.8725 (2.0215) Prec@1 48.125 (47.784) Prec@5 81.250 (78.234) Epoch: [50][3040/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.0270 (2.0215) Prec@1 46.250 (47.785) Prec@5 80.000 (78.233) Epoch: [50][3050/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 2.1757 (2.0216) Prec@1 40.625 (47.782) Prec@5 78.125 (78.231) Epoch: [50][3060/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 2.0111 (2.0216) Prec@1 47.500 (47.779) Prec@5 81.875 (78.229) Epoch: [50][3070/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.9195 (2.0216) Prec@1 50.625 (47.775) Prec@5 78.125 (78.230) Epoch: [50][3080/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 2.1479 (2.0216) Prec@1 44.375 (47.775) Prec@5 78.750 (78.232) Epoch: [50][3090/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1517 (2.0217) Prec@1 40.625 (47.769) Prec@5 77.500 (78.232) Epoch: [50][3100/11272] Time 0.891 (0.786) Data 0.002 (0.002) Loss 2.1885 (2.0218) Prec@1 46.250 (47.771) Prec@5 79.375 (78.231) Epoch: [50][3110/11272] Time 0.803 (0.786) Data 0.001 (0.002) Loss 1.9076 (2.0219) Prec@1 49.375 (47.770) Prec@5 81.250 (78.230) Epoch: [50][3120/11272] Time 0.743 (0.786) Data 0.002 (0.002) Loss 2.0823 (2.0219) Prec@1 48.125 (47.767) Prec@5 76.250 (78.231) Epoch: [50][3130/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 2.0145 (2.0219) Prec@1 49.375 (47.770) Prec@5 78.125 (78.231) Epoch: [50][3140/11272] Time 0.822 (0.786) Data 0.002 (0.002) Loss 1.7344 (2.0220) Prec@1 58.750 (47.768) Prec@5 79.375 (78.230) Epoch: [50][3150/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 2.4985 (2.0219) Prec@1 38.750 (47.769) Prec@5 68.750 (78.231) Epoch: [50][3160/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0595 (2.0223) Prec@1 54.375 (47.762) Prec@5 74.375 (78.224) Epoch: [50][3170/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.3334 (2.0222) Prec@1 43.125 (47.764) Prec@5 72.500 (78.227) Epoch: [50][3180/11272] Time 0.818 (0.786) Data 0.002 (0.002) Loss 2.2622 (2.0223) Prec@1 43.125 (47.757) Prec@5 71.875 (78.228) Epoch: [50][3190/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.9732 (2.0221) Prec@1 46.875 (47.754) Prec@5 78.125 (78.231) Epoch: [50][3200/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.9808 (2.0222) Prec@1 46.875 (47.753) Prec@5 75.000 (78.227) Epoch: [50][3210/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.1801 (2.0225) Prec@1 43.125 (47.747) Prec@5 76.250 (78.218) Epoch: [50][3220/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.1102 (2.0226) Prec@1 46.250 (47.744) Prec@5 78.125 (78.216) Epoch: [50][3230/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1238 (2.0225) Prec@1 48.750 (47.749) Prec@5 76.250 (78.216) Epoch: [50][3240/11272] Time 0.766 (0.786) Data 0.001 (0.002) Loss 1.9911 (2.0228) Prec@1 45.625 (47.742) Prec@5 77.500 (78.208) Epoch: [50][3250/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.9715 (2.0226) Prec@1 45.625 (47.749) Prec@5 80.625 (78.210) Epoch: [50][3260/11272] Time 0.730 (0.786) Data 0.003 (0.002) Loss 1.9693 (2.0228) Prec@1 45.625 (47.743) Prec@5 79.375 (78.205) Epoch: [50][3270/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.6886 (2.0227) Prec@1 53.750 (47.744) Prec@5 85.000 (78.210) Epoch: [50][3280/11272] Time 0.874 (0.786) Data 0.002 (0.002) Loss 2.1425 (2.0227) Prec@1 43.125 (47.742) Prec@5 73.125 (78.208) Epoch: [50][3290/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 1.9092 (2.0227) Prec@1 43.750 (47.739) Prec@5 78.750 (78.210) Epoch: [50][3300/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.1142 (2.0227) Prec@1 48.750 (47.743) Prec@5 77.500 (78.202) Epoch: [50][3310/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9621 (2.0228) Prec@1 50.000 (47.741) Prec@5 81.875 (78.200) Epoch: [50][3320/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.3519 (2.0227) Prec@1 41.250 (47.745) Prec@5 75.000 (78.205) Epoch: [50][3330/11272] Time 0.803 (0.786) Data 0.001 (0.002) Loss 2.2844 (2.0227) Prec@1 44.375 (47.747) Prec@5 71.250 (78.202) Epoch: [50][3340/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.9784 (2.0226) Prec@1 45.625 (47.749) Prec@5 83.125 (78.204) Epoch: [50][3350/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9711 (2.0226) Prec@1 46.875 (47.753) Prec@5 80.625 (78.209) Epoch: [50][3360/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.1782 (2.0224) Prec@1 48.125 (47.753) Prec@5 75.000 (78.214) Epoch: [50][3370/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.3676 (2.0224) Prec@1 41.250 (47.754) Prec@5 70.625 (78.213) Epoch: [50][3380/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.0987 (2.0225) Prec@1 44.375 (47.752) Prec@5 75.625 (78.210) Epoch: [50][3390/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 2.0989 (2.0225) Prec@1 48.125 (47.754) Prec@5 78.125 (78.208) Epoch: [50][3400/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.1256 (2.0225) Prec@1 50.000 (47.758) Prec@5 77.500 (78.210) Epoch: [50][3410/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.9249 (2.0226) Prec@1 52.500 (47.755) Prec@5 78.125 (78.204) Epoch: [50][3420/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.1110 (2.0227) Prec@1 43.750 (47.752) Prec@5 76.875 (78.204) Epoch: [50][3430/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.9658 (2.0229) Prec@1 48.750 (47.750) Prec@5 75.625 (78.201) Epoch: [50][3440/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 2.0749 (2.0229) Prec@1 43.750 (47.750) Prec@5 76.250 (78.200) Epoch: [50][3450/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.0966 (2.0229) Prec@1 43.125 (47.750) Prec@5 78.125 (78.201) Epoch: [50][3460/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9396 (2.0231) Prec@1 48.125 (47.749) Prec@5 79.375 (78.195) Epoch: [50][3470/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 2.1086 (2.0232) Prec@1 48.125 (47.747) Prec@5 75.000 (78.190) Epoch: [50][3480/11272] Time 0.881 (0.786) Data 0.002 (0.002) Loss 2.0295 (2.0232) Prec@1 51.875 (47.749) Prec@5 78.125 (78.190) Epoch: [50][3490/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.9447 (2.0232) Prec@1 49.375 (47.750) Prec@5 80.625 (78.192) Epoch: [50][3500/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 1.7405 (2.0231) Prec@1 50.000 (47.749) Prec@5 83.125 (78.196) Epoch: [50][3510/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 2.1596 (2.0232) Prec@1 40.625 (47.749) Prec@5 75.625 (78.194) Epoch: [50][3520/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 2.0388 (2.0235) Prec@1 51.250 (47.744) Prec@5 75.000 (78.188) Epoch: [50][3530/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.2153 (2.0237) Prec@1 45.625 (47.738) Prec@5 75.625 (78.188) Epoch: [50][3540/11272] Time 0.864 (0.786) Data 0.001 (0.002) Loss 1.7888 (2.0235) Prec@1 50.000 (47.740) Prec@5 81.875 (78.190) Epoch: [50][3550/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8695 (2.0235) Prec@1 55.625 (47.746) Prec@5 81.875 (78.188) Epoch: [50][3560/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.0946 (2.0234) Prec@1 40.625 (47.746) Prec@5 80.000 (78.192) Epoch: [50][3570/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 2.0862 (2.0232) Prec@1 46.875 (47.748) Prec@5 79.375 (78.196) Epoch: [50][3580/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 2.1126 (2.0231) Prec@1 48.750 (47.750) Prec@5 78.125 (78.199) Epoch: [50][3590/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.9918 (2.0233) Prec@1 49.375 (47.739) Prec@5 75.625 (78.195) Epoch: [50][3600/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.2522 (2.0233) Prec@1 41.250 (47.738) Prec@5 73.125 (78.190) Epoch: [50][3610/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9149 (2.0234) Prec@1 45.625 (47.732) Prec@5 78.125 (78.185) Epoch: [50][3620/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.1012 (2.0234) Prec@1 48.125 (47.732) Prec@5 75.000 (78.186) Epoch: [50][3630/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.9723 (2.0236) Prec@1 50.625 (47.731) Prec@5 81.250 (78.184) Epoch: [50][3640/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.0240 (2.0237) Prec@1 48.125 (47.731) Prec@5 80.000 (78.182) Epoch: [50][3650/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 2.0200 (2.0238) Prec@1 43.750 (47.726) Prec@5 79.375 (78.181) Epoch: [50][3660/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 1.9977 (2.0237) Prec@1 46.875 (47.729) Prec@5 78.750 (78.180) Epoch: [50][3670/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0335 (2.0237) Prec@1 43.125 (47.726) Prec@5 78.125 (78.180) Epoch: [50][3680/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.2756 (2.0240) Prec@1 41.250 (47.723) Prec@5 70.625 (78.175) Epoch: [50][3690/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.9576 (2.0240) Prec@1 48.125 (47.722) Prec@5 81.250 (78.174) Epoch: [50][3700/11272] Time 0.854 (0.786) Data 0.002 (0.002) Loss 2.2956 (2.0239) Prec@1 44.375 (47.726) Prec@5 75.625 (78.179) Epoch: [50][3710/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.0594 (2.0239) Prec@1 46.875 (47.726) Prec@5 75.625 (78.178) Epoch: [50][3720/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 2.2164 (2.0239) Prec@1 46.250 (47.726) Prec@5 70.000 (78.176) Epoch: [50][3730/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 2.0508 (2.0242) Prec@1 48.750 (47.718) Prec@5 76.875 (78.175) Epoch: [50][3740/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9750 (2.0240) Prec@1 48.125 (47.722) Prec@5 80.625 (78.176) Epoch: [50][3750/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.9259 (2.0239) Prec@1 50.000 (47.722) Prec@5 81.250 (78.178) Epoch: [50][3760/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 2.1955 (2.0241) Prec@1 43.750 (47.722) Prec@5 73.750 (78.175) Epoch: [50][3770/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.0968 (2.0240) Prec@1 48.125 (47.726) Prec@5 79.375 (78.176) Epoch: [50][3780/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.1700 (2.0240) Prec@1 43.750 (47.731) Prec@5 75.000 (78.179) Epoch: [50][3790/11272] Time 0.698 (0.786) Data 0.001 (0.002) Loss 1.9330 (2.0239) Prec@1 49.375 (47.734) Prec@5 80.000 (78.180) Epoch: [50][3800/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.8836 (2.0239) Prec@1 45.625 (47.730) Prec@5 83.750 (78.179) Epoch: [50][3810/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 2.1218 (2.0242) Prec@1 50.000 (47.726) Prec@5 73.750 (78.174) Epoch: [50][3820/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.1450 (2.0243) Prec@1 48.125 (47.724) Prec@5 78.125 (78.173) Epoch: [50][3830/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0923 (2.0243) Prec@1 46.875 (47.723) Prec@5 78.125 (78.173) Epoch: [50][3840/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 1.9274 (2.0241) Prec@1 53.125 (47.724) Prec@5 81.875 (78.179) Epoch: [50][3850/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.9204 (2.0242) Prec@1 51.875 (47.721) Prec@5 83.750 (78.178) Epoch: [50][3860/11272] Time 0.744 (0.786) Data 0.002 (0.002) Loss 1.8593 (2.0241) Prec@1 53.125 (47.721) Prec@5 78.125 (78.180) Epoch: [50][3870/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 2.1426 (2.0243) Prec@1 47.500 (47.715) Prec@5 75.000 (78.178) Epoch: [50][3880/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.9993 (2.0243) Prec@1 47.500 (47.718) Prec@5 78.750 (78.178) Epoch: [50][3890/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.2141 (2.0245) Prec@1 44.375 (47.717) Prec@5 76.250 (78.172) Epoch: [50][3900/11272] Time 0.791 (0.786) Data 0.001 (0.002) Loss 1.8969 (2.0247) Prec@1 51.250 (47.711) Prec@5 78.750 (78.170) Epoch: [50][3910/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8230 (2.0248) Prec@1 53.125 (47.710) Prec@5 80.000 (78.171) Epoch: [50][3920/11272] Time 0.798 (0.786) Data 0.001 (0.002) Loss 1.9837 (2.0249) Prec@1 53.750 (47.711) Prec@5 76.250 (78.171) Epoch: [50][3930/11272] Time 0.760 (0.786) Data 0.002 (0.002) Loss 1.9598 (2.0249) Prec@1 54.375 (47.713) Prec@5 74.375 (78.171) Epoch: [50][3940/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.9356 (2.0248) Prec@1 47.500 (47.716) Prec@5 81.875 (78.172) Epoch: [50][3950/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 2.1364 (2.0252) Prec@1 40.000 (47.708) Prec@5 74.375 (78.165) Epoch: [50][3960/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 2.1098 (2.0249) Prec@1 46.250 (47.712) Prec@5 82.500 (78.170) Epoch: [50][3970/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.1303 (2.0250) Prec@1 45.625 (47.711) Prec@5 77.500 (78.170) Epoch: [50][3980/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 2.0030 (2.0249) Prec@1 45.000 (47.713) Prec@5 76.875 (78.170) Epoch: [50][3990/11272] Time 0.818 (0.786) Data 0.005 (0.002) Loss 1.7779 (2.0248) Prec@1 50.625 (47.714) Prec@5 81.875 (78.173) Epoch: [50][4000/11272] Time 0.820 (0.786) Data 0.002 (0.002) Loss 2.0084 (2.0249) Prec@1 46.250 (47.713) Prec@5 77.500 (78.173) Epoch: [50][4010/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.8800 (2.0249) Prec@1 51.250 (47.713) Prec@5 80.000 (78.173) Epoch: [50][4020/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.0513 (2.0251) Prec@1 46.875 (47.708) Prec@5 76.875 (78.172) Epoch: [50][4030/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.0842 (2.0252) Prec@1 49.375 (47.705) Prec@5 75.000 (78.172) Epoch: [50][4040/11272] Time 0.792 (0.786) Data 0.001 (0.002) Loss 2.2329 (2.0253) Prec@1 44.375 (47.701) Prec@5 75.625 (78.172) Epoch: [50][4050/11272] Time 0.699 (0.786) Data 0.001 (0.002) Loss 2.4353 (2.0255) Prec@1 40.000 (47.698) Prec@5 71.875 (78.167) Epoch: [50][4060/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 1.9172 (2.0254) Prec@1 41.875 (47.697) Prec@5 82.500 (78.168) Epoch: [50][4070/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 2.1512 (2.0255) Prec@1 42.500 (47.696) Prec@5 78.125 (78.166) Epoch: [50][4080/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.2726 (2.0256) Prec@1 40.625 (47.693) Prec@5 73.125 (78.167) Epoch: [50][4090/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.9939 (2.0257) Prec@1 47.500 (47.691) Prec@5 76.250 (78.161) Epoch: [50][4100/11272] Time 0.889 (0.786) Data 0.002 (0.002) Loss 2.1349 (2.0259) Prec@1 46.875 (47.686) Prec@5 77.500 (78.158) Epoch: [50][4110/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 2.2702 (2.0260) Prec@1 43.750 (47.684) Prec@5 77.500 (78.159) Epoch: [50][4120/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0434 (2.0261) Prec@1 46.875 (47.681) Prec@5 77.500 (78.153) Epoch: [50][4130/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 2.0761 (2.0263) Prec@1 46.875 (47.679) Prec@5 76.250 (78.148) Epoch: [50][4140/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.0252 (2.0262) Prec@1 46.875 (47.679) Prec@5 79.375 (78.151) Epoch: [50][4150/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.1188 (2.0263) Prec@1 47.500 (47.679) Prec@5 77.500 (78.150) Epoch: [50][4160/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.1410 (2.0263) Prec@1 42.500 (47.678) Prec@5 76.250 (78.150) Epoch: [50][4170/11272] Time 0.769 (0.786) Data 0.002 (0.002) Loss 2.0017 (2.0263) Prec@1 48.750 (47.679) Prec@5 81.875 (78.147) Epoch: [50][4180/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.0876 (2.0265) Prec@1 42.500 (47.671) Prec@5 80.625 (78.144) Epoch: [50][4190/11272] Time 0.743 (0.786) Data 0.003 (0.002) Loss 2.1270 (2.0265) Prec@1 43.125 (47.674) Prec@5 74.375 (78.149) Epoch: [50][4200/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.2848 (2.0265) Prec@1 45.625 (47.675) Prec@5 77.500 (78.151) Epoch: [50][4210/11272] Time 0.839 (0.786) Data 0.002 (0.002) Loss 2.1427 (2.0264) Prec@1 50.000 (47.675) Prec@5 73.125 (78.151) Epoch: [50][4220/11272] Time 0.865 (0.786) Data 0.002 (0.002) Loss 1.8853 (2.0264) Prec@1 49.375 (47.678) Prec@5 81.250 (78.148) Epoch: [50][4230/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.2183 (2.0265) Prec@1 40.625 (47.675) Prec@5 74.375 (78.147) Epoch: [50][4240/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.0467 (2.0264) Prec@1 46.250 (47.676) Prec@5 78.125 (78.151) Epoch: [50][4250/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 2.0092 (2.0264) Prec@1 47.500 (47.674) Prec@5 75.625 (78.149) Epoch: [50][4260/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 2.2963 (2.0265) Prec@1 43.125 (47.674) Prec@5 75.625 (78.148) Epoch: [50][4270/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0786 (2.0263) Prec@1 43.750 (47.677) Prec@5 75.000 (78.150) Epoch: [50][4280/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.1252 (2.0263) Prec@1 45.625 (47.678) Prec@5 75.625 (78.148) Epoch: [50][4290/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.4585 (2.0264) Prec@1 38.750 (47.677) Prec@5 70.625 (78.147) Epoch: [50][4300/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.0545 (2.0264) Prec@1 47.500 (47.676) Prec@5 76.875 (78.146) Epoch: [50][4310/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.9264 (2.0264) Prec@1 50.000 (47.678) Prec@5 80.625 (78.147) Epoch: [50][4320/11272] Time 0.878 (0.786) Data 0.001 (0.002) Loss 2.1881 (2.0264) Prec@1 45.000 (47.678) Prec@5 76.250 (78.146) Epoch: [50][4330/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.9171 (2.0264) Prec@1 43.750 (47.680) Prec@5 84.375 (78.147) Epoch: [50][4340/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.1792 (2.0268) Prec@1 48.125 (47.675) Prec@5 77.500 (78.142) Epoch: [50][4350/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 2.0443 (2.0268) Prec@1 40.625 (47.671) Prec@5 79.375 (78.142) Epoch: [50][4360/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.8041 (2.0268) Prec@1 52.500 (47.673) Prec@5 78.125 (78.141) Epoch: [50][4370/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.8929 (2.0268) Prec@1 54.375 (47.673) Prec@5 80.000 (78.140) Epoch: [50][4380/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 1.9653 (2.0267) Prec@1 46.250 (47.678) Prec@5 81.250 (78.142) Epoch: [50][4390/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 2.3929 (2.0266) Prec@1 45.000 (47.680) Prec@5 73.750 (78.144) Epoch: [50][4400/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.8512 (2.0266) Prec@1 53.750 (47.680) Prec@5 80.000 (78.144) Epoch: [50][4410/11272] Time 0.794 (0.786) Data 0.001 (0.002) Loss 2.2370 (2.0266) Prec@1 41.250 (47.681) Prec@5 73.750 (78.144) Epoch: [50][4420/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 2.2147 (2.0265) Prec@1 40.625 (47.680) Prec@5 71.875 (78.147) Epoch: [50][4430/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.2099 (2.0264) Prec@1 46.875 (47.684) Prec@5 75.625 (78.151) Epoch: [50][4440/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8714 (2.0265) Prec@1 48.750 (47.682) Prec@5 79.375 (78.152) Epoch: [50][4450/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.0987 (2.0264) Prec@1 45.000 (47.684) Prec@5 76.875 (78.154) Epoch: [50][4460/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.6940 (2.0264) Prec@1 56.875 (47.685) Prec@5 85.625 (78.154) Epoch: [50][4470/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.1218 (2.0265) Prec@1 46.250 (47.689) Prec@5 78.750 (78.151) Epoch: [50][4480/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9328 (2.0266) Prec@1 48.750 (47.685) Prec@5 76.875 (78.150) Epoch: [50][4490/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0761 (2.0266) Prec@1 49.375 (47.684) Prec@5 81.250 (78.152) Epoch: [50][4500/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.9964 (2.0265) Prec@1 46.875 (47.687) Prec@5 78.750 (78.153) Epoch: [50][4510/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 2.1202 (2.0265) Prec@1 45.625 (47.691) Prec@5 73.750 (78.152) Epoch: [50][4520/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.2417 (2.0264) Prec@1 46.875 (47.688) Prec@5 68.750 (78.153) Epoch: [50][4530/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.1443 (2.0265) Prec@1 48.125 (47.685) Prec@5 76.250 (78.150) Epoch: [50][4540/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 2.0032 (2.0267) Prec@1 46.875 (47.682) Prec@5 78.750 (78.149) Epoch: [50][4550/11272] Time 0.796 (0.786) Data 0.001 (0.002) Loss 1.9979 (2.0266) Prec@1 48.125 (47.688) Prec@5 80.625 (78.154) Epoch: [50][4560/11272] Time 0.802 (0.786) Data 0.002 (0.002) Loss 2.1749 (2.0267) Prec@1 44.375 (47.690) Prec@5 72.500 (78.153) Epoch: [50][4570/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9609 (2.0265) Prec@1 43.750 (47.689) Prec@5 81.875 (78.157) Epoch: [50][4580/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.1988 (2.0267) Prec@1 43.125 (47.685) Prec@5 76.875 (78.153) Epoch: [50][4590/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.2314 (2.0268) Prec@1 50.625 (47.685) Prec@5 73.750 (78.149) Epoch: [50][4600/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.9877 (2.0269) Prec@1 50.625 (47.687) Prec@5 78.750 (78.147) Epoch: [50][4610/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0629 (2.0269) Prec@1 47.500 (47.683) Prec@5 76.875 (78.148) Epoch: [50][4620/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.6881 (2.0268) Prec@1 58.750 (47.688) Prec@5 82.500 (78.149) Epoch: [50][4630/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.3663 (2.0270) Prec@1 43.125 (47.686) Prec@5 72.500 (78.145) Epoch: [50][4640/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.0436 (2.0271) Prec@1 47.500 (47.687) Prec@5 78.125 (78.144) Epoch: [50][4650/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 2.1839 (2.0271) Prec@1 46.250 (47.686) Prec@5 71.875 (78.141) Epoch: [50][4660/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.1106 (2.0271) Prec@1 40.625 (47.682) Prec@5 78.750 (78.142) Epoch: [50][4670/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.1111 (2.0273) Prec@1 47.500 (47.680) Prec@5 75.000 (78.139) Epoch: [50][4680/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0785 (2.0274) Prec@1 49.375 (47.679) Prec@5 76.250 (78.140) Epoch: [50][4690/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.1641 (2.0272) Prec@1 41.250 (47.678) Prec@5 75.000 (78.144) Epoch: [50][4700/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 2.2286 (2.0273) Prec@1 43.750 (47.675) Prec@5 74.375 (78.143) Epoch: [50][4710/11272] Time 0.816 (0.786) Data 0.002 (0.002) Loss 1.8623 (2.0273) Prec@1 49.375 (47.676) Prec@5 82.500 (78.144) Epoch: [50][4720/11272] Time 0.760 (0.786) Data 0.001 (0.002) Loss 2.0710 (2.0273) Prec@1 44.375 (47.678) Prec@5 78.125 (78.145) Epoch: [50][4730/11272] Time 0.859 (0.786) Data 0.001 (0.002) Loss 1.9152 (2.0274) Prec@1 51.875 (47.678) Prec@5 83.125 (78.145) Epoch: [50][4740/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.8684 (2.0275) Prec@1 49.375 (47.677) Prec@5 81.875 (78.144) Epoch: [50][4750/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 2.0920 (2.0275) Prec@1 43.125 (47.676) Prec@5 76.875 (78.145) Epoch: [50][4760/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 2.1288 (2.0277) Prec@1 45.000 (47.673) Prec@5 76.250 (78.144) Epoch: [50][4770/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.2205 (2.0276) Prec@1 45.625 (47.674) Prec@5 68.750 (78.145) Epoch: [50][4780/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.8588 (2.0275) Prec@1 55.625 (47.672) Prec@5 78.125 (78.148) Epoch: [50][4790/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 2.0608 (2.0277) Prec@1 46.875 (47.671) Prec@5 79.375 (78.149) Epoch: [50][4800/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.3277 (2.0279) Prec@1 36.875 (47.665) Prec@5 70.625 (78.146) Epoch: [50][4810/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.1857 (2.0278) Prec@1 45.000 (47.667) Prec@5 78.125 (78.148) Epoch: [50][4820/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.0222 (2.0279) Prec@1 53.125 (47.668) Prec@5 77.500 (78.146) Epoch: [50][4830/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.1982 (2.0279) Prec@1 44.375 (47.671) Prec@5 76.250 (78.146) Epoch: [50][4840/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 2.1655 (2.0278) Prec@1 43.750 (47.671) Prec@5 79.375 (78.149) Epoch: [50][4850/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.8203 (2.0277) Prec@1 51.250 (47.672) Prec@5 77.500 (78.148) Epoch: [50][4860/11272] Time 0.704 (0.786) Data 0.002 (0.002) Loss 1.8971 (2.0277) Prec@1 51.250 (47.673) Prec@5 79.375 (78.146) Epoch: [50][4870/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0717 (2.0278) Prec@1 46.875 (47.675) Prec@5 78.125 (78.146) Epoch: [50][4880/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.1938 (2.0278) Prec@1 44.375 (47.670) Prec@5 76.875 (78.148) Epoch: [50][4890/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.0558 (2.0277) Prec@1 51.250 (47.671) Prec@5 77.500 (78.152) Epoch: [50][4900/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 1.9737 (2.0279) Prec@1 50.000 (47.668) Prec@5 78.750 (78.150) Epoch: [50][4910/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.1253 (2.0279) Prec@1 48.750 (47.672) Prec@5 74.375 (78.148) Epoch: [50][4920/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.7795 (2.0279) Prec@1 54.375 (47.672) Prec@5 85.000 (78.148) Epoch: [50][4930/11272] Time 0.820 (0.786) Data 0.002 (0.002) Loss 2.0560 (2.0279) Prec@1 48.125 (47.669) Prec@5 79.375 (78.150) Epoch: [50][4940/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.8648 (2.0279) Prec@1 54.375 (47.670) Prec@5 78.125 (78.148) Epoch: [50][4950/11272] Time 0.749 (0.786) Data 0.001 (0.002) Loss 2.0697 (2.0279) Prec@1 45.625 (47.668) Prec@5 75.625 (78.148) Epoch: [50][4960/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 1.6947 (2.0280) Prec@1 59.375 (47.665) Prec@5 84.375 (78.143) Epoch: [50][4970/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 2.2375 (2.0281) Prec@1 48.750 (47.665) Prec@5 76.875 (78.142) Epoch: [50][4980/11272] Time 0.701 (0.786) Data 0.001 (0.002) Loss 2.1520 (2.0282) Prec@1 45.000 (47.666) Prec@5 76.250 (78.139) Epoch: [50][4990/11272] Time 0.889 (0.786) Data 0.001 (0.002) Loss 2.1913 (2.0283) Prec@1 46.250 (47.665) Prec@5 71.250 (78.134) Epoch: [50][5000/11272] Time 0.854 (0.786) Data 0.002 (0.002) Loss 1.9904 (2.0281) Prec@1 43.750 (47.667) Prec@5 76.875 (78.137) Epoch: [50][5010/11272] Time 0.758 (0.786) Data 0.002 (0.002) Loss 1.9071 (2.0281) Prec@1 51.250 (47.668) Prec@5 83.750 (78.136) Epoch: [50][5020/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.1038 (2.0282) Prec@1 43.125 (47.666) Prec@5 76.250 (78.133) Epoch: [50][5030/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 2.1258 (2.0280) Prec@1 45.000 (47.664) Prec@5 74.375 (78.138) Epoch: [50][5040/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.3039 (2.0281) Prec@1 41.250 (47.662) Prec@5 78.750 (78.140) Epoch: [50][5050/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.6908 (2.0281) Prec@1 56.250 (47.664) Prec@5 83.125 (78.141) Epoch: [50][5060/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.9888 (2.0281) Prec@1 46.875 (47.664) Prec@5 78.125 (78.142) Epoch: [50][5070/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0769 (2.0280) Prec@1 44.375 (47.663) Prec@5 76.875 (78.142) Epoch: [50][5080/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.2394 (2.0281) Prec@1 43.750 (47.664) Prec@5 76.250 (78.142) Epoch: [50][5090/11272] Time 0.767 (0.786) Data 0.002 (0.002) Loss 2.0332 (2.0281) Prec@1 47.500 (47.666) Prec@5 77.500 (78.141) Epoch: [50][5100/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7441 (2.0281) Prec@1 53.750 (47.664) Prec@5 82.500 (78.141) Epoch: [50][5110/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.9204 (2.0281) Prec@1 52.500 (47.662) Prec@5 76.250 (78.141) Epoch: [50][5120/11272] Time 0.734 (0.786) Data 0.003 (0.002) Loss 1.9931 (2.0282) Prec@1 49.375 (47.660) Prec@5 80.625 (78.140) Epoch: [50][5130/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 2.0869 (2.0282) Prec@1 47.500 (47.660) Prec@5 76.875 (78.140) Epoch: [50][5140/11272] Time 0.864 (0.786) Data 0.001 (0.002) Loss 2.1296 (2.0283) Prec@1 45.625 (47.659) Prec@5 76.875 (78.137) Epoch: [50][5150/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 2.0801 (2.0283) Prec@1 51.250 (47.661) Prec@5 74.375 (78.137) Epoch: [50][5160/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.9443 (2.0283) Prec@1 46.875 (47.660) Prec@5 81.250 (78.137) Epoch: [50][5170/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.1758 (2.0283) Prec@1 43.125 (47.659) Prec@5 76.250 (78.138) Epoch: [50][5180/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.1333 (2.0282) Prec@1 41.875 (47.659) Prec@5 77.500 (78.140) Epoch: [50][5190/11272] Time 0.790 (0.786) Data 0.001 (0.002) Loss 2.2314 (2.0283) Prec@1 43.750 (47.656) Prec@5 73.125 (78.141) Epoch: [50][5200/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.0245 (2.0284) Prec@1 40.000 (47.654) Prec@5 80.000 (78.140) Epoch: [50][5210/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9301 (2.0284) Prec@1 51.875 (47.656) Prec@5 80.625 (78.139) Epoch: [50][5220/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.8207 (2.0284) Prec@1 49.375 (47.652) Prec@5 80.625 (78.138) Epoch: [50][5230/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.2879 (2.0283) Prec@1 46.250 (47.655) Prec@5 70.000 (78.138) Epoch: [50][5240/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.1399 (2.0283) Prec@1 42.500 (47.654) Prec@5 78.125 (78.139) Epoch: [50][5250/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.9658 (2.0284) Prec@1 50.625 (47.652) Prec@5 80.625 (78.138) Epoch: [50][5260/11272] Time 0.867 (0.786) Data 0.002 (0.002) Loss 1.9635 (2.0285) Prec@1 46.875 (47.652) Prec@5 78.750 (78.136) Epoch: [50][5270/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.0566 (2.0285) Prec@1 50.000 (47.654) Prec@5 73.750 (78.133) Epoch: [50][5280/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.2912 (2.0285) Prec@1 41.875 (47.651) Prec@5 76.875 (78.134) Epoch: [50][5290/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.9782 (2.0285) Prec@1 43.750 (47.648) Prec@5 77.500 (78.134) Epoch: [50][5300/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.8576 (2.0285) Prec@1 53.125 (47.650) Prec@5 80.000 (78.132) Epoch: [50][5310/11272] Time 0.754 (0.786) Data 0.002 (0.002) Loss 1.9387 (2.0286) Prec@1 49.375 (47.649) Prec@5 80.625 (78.132) Epoch: [50][5320/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.9776 (2.0288) Prec@1 50.000 (47.647) Prec@5 78.125 (78.130) Epoch: [50][5330/11272] Time 0.860 (0.786) Data 0.001 (0.002) Loss 2.1161 (2.0288) Prec@1 43.125 (47.648) Prec@5 75.625 (78.127) Epoch: [50][5340/11272] Time 0.845 (0.786) Data 0.002 (0.002) Loss 1.9474 (2.0288) Prec@1 47.500 (47.648) Prec@5 79.375 (78.127) Epoch: [50][5350/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 2.1247 (2.0288) Prec@1 45.000 (47.646) Prec@5 76.875 (78.126) Epoch: [50][5360/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1384 (2.0288) Prec@1 44.375 (47.648) Prec@5 75.625 (78.125) Epoch: [50][5370/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0153 (2.0289) Prec@1 51.250 (47.645) Prec@5 78.750 (78.122) Epoch: [50][5380/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8043 (2.0290) Prec@1 50.625 (47.645) Prec@5 83.750 (78.121) Epoch: [50][5390/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.9606 (2.0289) Prec@1 50.000 (47.647) Prec@5 77.500 (78.123) Epoch: [50][5400/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 1.9404 (2.0289) Prec@1 48.750 (47.647) Prec@5 78.750 (78.125) Epoch: [50][5410/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 2.4427 (2.0289) Prec@1 38.750 (47.648) Prec@5 73.125 (78.126) Epoch: [50][5420/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.1496 (2.0288) Prec@1 45.000 (47.648) Prec@5 75.625 (78.127) Epoch: [50][5430/11272] Time 0.751 (0.786) Data 0.002 (0.002) Loss 1.9453 (2.0289) Prec@1 47.500 (47.645) Prec@5 82.500 (78.126) Epoch: [50][5440/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 2.0509 (2.0289) Prec@1 47.500 (47.645) Prec@5 79.375 (78.128) Epoch: [50][5450/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.8706 (2.0290) Prec@1 48.125 (47.641) Prec@5 81.875 (78.129) Epoch: [50][5460/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.3041 (2.0291) Prec@1 41.875 (47.639) Prec@5 74.375 (78.129) Epoch: [50][5470/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 2.4128 (2.0291) Prec@1 40.625 (47.638) Prec@5 69.375 (78.128) Epoch: [50][5480/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 1.8537 (2.0291) Prec@1 49.375 (47.638) Prec@5 81.250 (78.126) Epoch: [50][5490/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.8813 (2.0291) Prec@1 52.500 (47.641) Prec@5 83.750 (78.125) Epoch: [50][5500/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.9268 (2.0291) Prec@1 47.500 (47.638) Prec@5 78.750 (78.128) Epoch: [50][5510/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.7888 (2.0291) Prec@1 48.750 (47.639) Prec@5 82.500 (78.125) Epoch: [50][5520/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.7904 (2.0291) Prec@1 52.500 (47.638) Prec@5 80.000 (78.125) Epoch: [50][5530/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.9040 (2.0293) Prec@1 48.125 (47.634) Prec@5 80.000 (78.123) Epoch: [50][5540/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.9314 (2.0294) Prec@1 53.750 (47.634) Prec@5 79.375 (78.122) Epoch: [50][5550/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.8864 (2.0294) Prec@1 51.250 (47.634) Prec@5 84.375 (78.121) Epoch: [50][5560/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.7452 (2.0294) Prec@1 55.625 (47.635) Prec@5 83.125 (78.123) Epoch: [50][5570/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9799 (2.0295) Prec@1 54.375 (47.635) Prec@5 79.375 (78.118) Epoch: [50][5580/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.9677 (2.0295) Prec@1 47.500 (47.631) Prec@5 81.250 (78.118) Epoch: [50][5590/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 2.0407 (2.0296) Prec@1 46.250 (47.628) Prec@5 78.750 (78.118) Epoch: [50][5600/11272] Time 0.861 (0.785) Data 0.002 (0.002) Loss 1.8767 (2.0295) Prec@1 49.375 (47.628) Prec@5 85.000 (78.118) Epoch: [50][5610/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.9092 (2.0297) Prec@1 51.875 (47.626) Prec@5 81.875 (78.115) Epoch: [50][5620/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 1.8999 (2.0297) Prec@1 46.250 (47.627) Prec@5 79.375 (78.114) Epoch: [50][5630/11272] Time 0.880 (0.785) Data 0.001 (0.002) Loss 1.9238 (2.0297) Prec@1 46.875 (47.626) Prec@5 78.750 (78.113) Epoch: [50][5640/11272] Time 0.826 (0.785) Data 0.001 (0.002) Loss 2.3251 (2.0298) Prec@1 40.625 (47.624) Prec@5 72.500 (78.111) Epoch: [50][5650/11272] Time 0.749 (0.785) Data 0.001 (0.002) Loss 1.9658 (2.0298) Prec@1 48.750 (47.625) Prec@5 80.000 (78.110) Epoch: [50][5660/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.1277 (2.0298) Prec@1 43.750 (47.625) Prec@5 79.375 (78.111) Epoch: [50][5670/11272] Time 0.822 (0.785) Data 0.001 (0.002) Loss 2.1926 (2.0299) Prec@1 45.000 (47.621) Prec@5 75.625 (78.111) Epoch: [50][5680/11272] Time 0.760 (0.785) Data 0.001 (0.002) Loss 2.0779 (2.0300) Prec@1 44.375 (47.619) Prec@5 76.875 (78.108) Epoch: [50][5690/11272] Time 0.722 (0.785) Data 0.001 (0.002) Loss 1.8111 (2.0299) Prec@1 52.500 (47.621) Prec@5 82.500 (78.107) Epoch: [50][5700/11272] Time 0.831 (0.785) Data 0.002 (0.002) Loss 2.1611 (2.0300) Prec@1 45.000 (47.618) Prec@5 80.000 (78.105) Epoch: [50][5710/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.8736 (2.0299) Prec@1 52.500 (47.620) Prec@5 80.000 (78.107) Epoch: [50][5720/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.1402 (2.0300) Prec@1 48.125 (47.620) Prec@5 78.125 (78.106) Epoch: [50][5730/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 1.9782 (2.0300) Prec@1 55.000 (47.621) Prec@5 81.875 (78.107) Epoch: [50][5740/11272] Time 0.821 (0.785) Data 0.002 (0.002) Loss 1.9885 (2.0298) Prec@1 46.250 (47.624) Prec@5 78.750 (78.109) Epoch: [50][5750/11272] Time 0.865 (0.785) Data 0.002 (0.002) Loss 2.1636 (2.0298) Prec@1 49.375 (47.625) Prec@5 75.625 (78.109) Epoch: [50][5760/11272] Time 0.725 (0.785) Data 0.001 (0.002) Loss 2.0446 (2.0298) Prec@1 45.625 (47.624) Prec@5 80.000 (78.110) Epoch: [50][5770/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 2.1234 (2.0299) Prec@1 48.125 (47.623) Prec@5 76.875 (78.106) Epoch: [50][5780/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 2.1822 (2.0299) Prec@1 45.625 (47.625) Prec@5 75.000 (78.108) Epoch: [50][5790/11272] Time 0.749 (0.785) Data 0.003 (0.002) Loss 1.9054 (2.0299) Prec@1 48.750 (47.623) Prec@5 78.750 (78.107) Epoch: [50][5800/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 2.2256 (2.0301) Prec@1 45.000 (47.623) Prec@5 75.000 (78.103) Epoch: [50][5810/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9001 (2.0300) Prec@1 53.125 (47.624) Prec@5 83.125 (78.105) Epoch: [50][5820/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 1.9400 (2.0301) Prec@1 55.625 (47.623) Prec@5 77.500 (78.102) Epoch: [50][5830/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 2.1416 (2.0302) Prec@1 46.250 (47.623) Prec@5 75.625 (78.102) Epoch: [50][5840/11272] Time 0.725 (0.785) Data 0.002 (0.002) Loss 1.7241 (2.0303) Prec@1 55.000 (47.618) Prec@5 83.750 (78.098) Epoch: [50][5850/11272] Time 0.860 (0.785) Data 0.002 (0.002) Loss 2.0684 (2.0304) Prec@1 43.750 (47.616) Prec@5 76.875 (78.097) Epoch: [50][5860/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 2.1294 (2.0303) Prec@1 44.375 (47.613) Prec@5 79.375 (78.097) Epoch: [50][5870/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 2.3127 (2.0304) Prec@1 42.500 (47.613) Prec@5 71.250 (78.095) Epoch: [50][5880/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 2.1051 (2.0305) Prec@1 47.500 (47.612) Prec@5 75.625 (78.095) Epoch: [50][5890/11272] Time 0.823 (0.785) Data 0.002 (0.002) Loss 1.7717 (2.0305) Prec@1 52.500 (47.612) Prec@5 80.625 (78.094) Epoch: [50][5900/11272] Time 0.778 (0.785) Data 0.001 (0.002) Loss 1.8201 (2.0305) Prec@1 52.500 (47.613) Prec@5 83.750 (78.095) Epoch: [50][5910/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 2.0624 (2.0305) Prec@1 45.000 (47.610) Prec@5 78.125 (78.095) Epoch: [50][5920/11272] Time 0.839 (0.785) Data 0.001 (0.002) Loss 2.1725 (2.0304) Prec@1 38.750 (47.611) Prec@5 75.000 (78.095) Epoch: [50][5930/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.9737 (2.0305) Prec@1 50.000 (47.611) Prec@5 80.625 (78.093) Epoch: [50][5940/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.7727 (2.0305) Prec@1 50.625 (47.611) Prec@5 82.500 (78.091) Epoch: [50][5950/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 2.0417 (2.0306) Prec@1 46.250 (47.609) Prec@5 78.125 (78.090) Epoch: [50][5960/11272] Time 0.853 (0.786) Data 0.001 (0.002) Loss 1.9283 (2.0306) Prec@1 55.000 (47.609) Prec@5 76.250 (78.091) Epoch: [50][5970/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.9494 (2.0305) Prec@1 43.750 (47.612) Prec@5 83.125 (78.093) Epoch: [50][5980/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 1.9422 (2.0305) Prec@1 50.625 (47.614) Prec@5 80.000 (78.094) Epoch: [50][5990/11272] Time 0.743 (0.785) Data 0.001 (0.002) Loss 2.1494 (2.0304) Prec@1 41.250 (47.613) Prec@5 75.000 (78.095) Epoch: [50][6000/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.1865 (2.0305) Prec@1 44.375 (47.610) Prec@5 72.500 (78.093) Epoch: [50][6010/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.1263 (2.0306) Prec@1 47.500 (47.611) Prec@5 76.250 (78.090) Epoch: [50][6020/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.9374 (2.0306) Prec@1 51.875 (47.611) Prec@5 81.875 (78.090) Epoch: [50][6030/11272] Time 0.761 (0.786) Data 0.002 (0.002) Loss 2.1637 (2.0304) Prec@1 46.250 (47.615) Prec@5 76.875 (78.093) Epoch: [50][6040/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 2.0477 (2.0303) Prec@1 46.250 (47.617) Prec@5 77.500 (78.095) Epoch: [50][6050/11272] Time 0.726 (0.786) Data 0.003 (0.002) Loss 2.3561 (2.0303) Prec@1 41.250 (47.617) Prec@5 70.625 (78.094) Epoch: [50][6060/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 2.1148 (2.0303) Prec@1 41.875 (47.617) Prec@5 73.125 (78.092) Epoch: [50][6070/11272] Time 0.901 (0.786) Data 0.002 (0.002) Loss 2.3793 (2.0304) Prec@1 41.250 (47.615) Prec@5 73.125 (78.090) Epoch: [50][6080/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 2.0764 (2.0305) Prec@1 45.625 (47.613) Prec@5 78.750 (78.088) Epoch: [50][6090/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 2.2527 (2.0305) Prec@1 44.375 (47.611) Prec@5 79.375 (78.087) Epoch: [50][6100/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.0210 (2.0307) Prec@1 49.375 (47.610) Prec@5 78.125 (78.085) Epoch: [50][6110/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.0272 (2.0307) Prec@1 45.000 (47.607) Prec@5 81.250 (78.086) Epoch: [50][6120/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 2.0887 (2.0308) Prec@1 47.500 (47.606) Prec@5 71.875 (78.083) Epoch: [50][6130/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.9105 (2.0308) Prec@1 53.125 (47.605) Prec@5 83.750 (78.083) Epoch: [50][6140/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.9883 (2.0308) Prec@1 45.625 (47.604) Prec@5 80.000 (78.084) Epoch: [50][6150/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 2.1559 (2.0308) Prec@1 42.500 (47.602) Prec@5 77.500 (78.086) Epoch: [50][6160/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 2.0248 (2.0308) Prec@1 45.625 (47.600) Prec@5 79.375 (78.084) Epoch: [50][6170/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.2202 (2.0308) Prec@1 41.250 (47.599) Prec@5 78.125 (78.086) Epoch: [50][6180/11272] Time 0.832 (0.786) Data 0.002 (0.002) Loss 2.2001 (2.0308) Prec@1 41.250 (47.601) Prec@5 76.875 (78.085) Epoch: [50][6190/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.1182 (2.0308) Prec@1 45.000 (47.599) Prec@5 76.875 (78.087) Epoch: [50][6200/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.8526 (2.0308) Prec@1 50.000 (47.598) Prec@5 79.375 (78.087) Epoch: [50][6210/11272] Time 0.766 (0.786) Data 0.002 (0.002) Loss 2.1562 (2.0308) Prec@1 45.000 (47.597) Prec@5 75.000 (78.086) Epoch: [50][6220/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.9148 (2.0308) Prec@1 46.875 (47.596) Prec@5 79.375 (78.086) Epoch: [50][6230/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.9397 (2.0308) Prec@1 44.375 (47.594) Prec@5 80.625 (78.088) Epoch: [50][6240/11272] Time 0.736 (0.786) Data 0.002 (0.002) Loss 1.9584 (2.0307) Prec@1 51.250 (47.597) Prec@5 81.250 (78.089) Epoch: [50][6250/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0183 (2.0307) Prec@1 52.500 (47.599) Prec@5 75.625 (78.088) Epoch: [50][6260/11272] Time 0.851 (0.786) Data 0.002 (0.002) Loss 1.9715 (2.0309) Prec@1 46.875 (47.596) Prec@5 78.750 (78.085) Epoch: [50][6270/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.0185 (2.0309) Prec@1 49.375 (47.595) Prec@5 76.875 (78.084) Epoch: [50][6280/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 2.0775 (2.0310) Prec@1 48.750 (47.594) Prec@5 75.000 (78.082) Epoch: [50][6290/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 2.1682 (2.0310) Prec@1 44.375 (47.592) Prec@5 78.125 (78.084) Epoch: [50][6300/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.8726 (2.0310) Prec@1 47.500 (47.591) Prec@5 81.250 (78.086) Epoch: [50][6310/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 2.1156 (2.0310) Prec@1 41.250 (47.591) Prec@5 76.875 (78.086) Epoch: [50][6320/11272] Time 0.698 (0.786) Data 0.001 (0.002) Loss 1.8804 (2.0310) Prec@1 45.000 (47.588) Prec@5 81.875 (78.088) Epoch: [50][6330/11272] Time 0.870 (0.786) Data 0.002 (0.002) Loss 1.8164 (2.0310) Prec@1 53.125 (47.586) Prec@5 78.750 (78.090) Epoch: [50][6340/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0603 (2.0311) Prec@1 45.625 (47.583) Prec@5 78.750 (78.088) Epoch: [50][6350/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.9773 (2.0309) Prec@1 48.125 (47.582) Prec@5 77.500 (78.089) Epoch: [50][6360/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 2.0815 (2.0310) Prec@1 48.750 (47.583) Prec@5 76.250 (78.089) Epoch: [50][6370/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.7888 (2.0310) Prec@1 57.500 (47.585) Prec@5 81.250 (78.089) Epoch: [50][6380/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 2.4220 (2.0312) Prec@1 41.875 (47.580) Prec@5 75.000 (78.087) Epoch: [50][6390/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.9552 (2.0312) Prec@1 53.750 (47.579) Prec@5 78.750 (78.086) Epoch: [50][6400/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.3132 (2.0312) Prec@1 40.625 (47.578) Prec@5 69.375 (78.085) Epoch: [50][6410/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.8240 (2.0312) Prec@1 48.125 (47.578) Prec@5 83.750 (78.086) Epoch: [50][6420/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.9009 (2.0313) Prec@1 54.375 (47.581) Prec@5 80.000 (78.086) Epoch: [50][6430/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.2840 (2.0313) Prec@1 45.625 (47.581) Prec@5 73.750 (78.084) Epoch: [50][6440/11272] Time 0.732 (0.785) Data 0.001 (0.002) Loss 2.2110 (2.0313) Prec@1 47.500 (47.580) Prec@5 71.875 (78.084) Epoch: [50][6450/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 2.1343 (2.0313) Prec@1 40.625 (47.583) Prec@5 75.625 (78.082) Epoch: [50][6460/11272] Time 0.736 (0.785) Data 0.001 (0.002) Loss 2.0840 (2.0313) Prec@1 48.750 (47.584) Prec@5 76.250 (78.083) Epoch: [50][6470/11272] Time 0.740 (0.785) Data 0.001 (0.002) Loss 1.9160 (2.0314) Prec@1 50.625 (47.582) Prec@5 80.000 (78.082) Epoch: [50][6480/11272] Time 0.870 (0.785) Data 0.002 (0.002) Loss 2.0612 (2.0314) Prec@1 48.750 (47.581) Prec@5 77.500 (78.080) Epoch: [50][6490/11272] Time 0.812 (0.785) Data 0.001 (0.002) Loss 2.1221 (2.0315) Prec@1 49.375 (47.583) Prec@5 74.375 (78.079) Epoch: [50][6500/11272] Time 0.707 (0.785) Data 0.001 (0.002) Loss 1.8689 (2.0315) Prec@1 53.125 (47.585) Prec@5 78.750 (78.079) Epoch: [50][6510/11272] Time 0.710 (0.785) Data 0.001 (0.002) Loss 1.5879 (2.0314) Prec@1 55.625 (47.586) Prec@5 81.875 (78.080) Epoch: [50][6520/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 2.0112 (2.0314) Prec@1 40.000 (47.585) Prec@5 81.250 (78.080) Epoch: [50][6530/11272] Time 0.817 (0.785) Data 0.001 (0.002) Loss 2.1815 (2.0312) Prec@1 43.750 (47.588) Prec@5 77.500 (78.084) Epoch: [50][6540/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.8362 (2.0313) Prec@1 53.750 (47.588) Prec@5 78.125 (78.086) Epoch: [50][6550/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.9079 (2.0312) Prec@1 46.875 (47.589) Prec@5 79.375 (78.088) Epoch: [50][6560/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 2.0866 (2.0314) Prec@1 48.125 (47.587) Prec@5 80.000 (78.083) Epoch: [50][6570/11272] Time 0.823 (0.785) Data 0.001 (0.002) Loss 2.1811 (2.0315) Prec@1 45.000 (47.586) Prec@5 73.125 (78.080) Epoch: [50][6580/11272] Time 0.736 (0.785) Data 0.001 (0.002) Loss 2.1832 (2.0314) Prec@1 45.625 (47.588) Prec@5 75.625 (78.082) Epoch: [50][6590/11272] Time 0.830 (0.785) Data 0.001 (0.002) Loss 2.3047 (2.0315) Prec@1 43.125 (47.586) Prec@5 69.375 (78.082) Epoch: [50][6600/11272] Time 0.843 (0.785) Data 0.001 (0.002) Loss 2.1552 (2.0316) Prec@1 46.875 (47.583) Prec@5 75.000 (78.078) Epoch: [50][6610/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 2.0879 (2.0316) Prec@1 47.500 (47.583) Prec@5 76.875 (78.077) Epoch: [50][6620/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.9817 (2.0315) Prec@1 49.375 (47.585) Prec@5 78.125 (78.080) Epoch: [50][6630/11272] Time 0.830 (0.785) Data 0.001 (0.002) Loss 2.0307 (2.0314) Prec@1 46.875 (47.587) Prec@5 76.875 (78.083) Epoch: [50][6640/11272] Time 0.814 (0.785) Data 0.001 (0.002) Loss 1.9777 (2.0314) Prec@1 50.625 (47.588) Prec@5 78.125 (78.083) Epoch: [50][6650/11272] Time 0.740 (0.785) Data 0.001 (0.002) Loss 2.1604 (2.0315) Prec@1 40.000 (47.587) Prec@5 78.125 (78.083) Epoch: [50][6660/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.9658 (2.0315) Prec@1 47.500 (47.582) Prec@5 79.375 (78.083) Epoch: [50][6670/11272] Time 0.840 (0.785) Data 0.001 (0.002) Loss 1.9942 (2.0315) Prec@1 42.500 (47.581) Prec@5 80.000 (78.085) Epoch: [50][6680/11272] Time 0.823 (0.785) Data 0.001 (0.002) Loss 2.0705 (2.0315) Prec@1 43.125 (47.577) Prec@5 77.500 (78.084) Epoch: [50][6690/11272] Time 0.744 (0.785) Data 0.001 (0.002) Loss 2.0833 (2.0317) Prec@1 45.625 (47.575) Prec@5 75.625 (78.082) Epoch: [50][6700/11272] Time 0.754 (0.785) Data 0.001 (0.002) Loss 2.0716 (2.0316) Prec@1 43.125 (47.577) Prec@5 77.500 (78.084) Epoch: [50][6710/11272] Time 0.837 (0.785) Data 0.001 (0.002) Loss 2.1701 (2.0317) Prec@1 41.250 (47.574) Prec@5 76.875 (78.083) Epoch: [50][6720/11272] Time 0.735 (0.785) Data 0.003 (0.002) Loss 2.3352 (2.0318) Prec@1 43.750 (47.573) Prec@5 71.875 (78.082) Epoch: [50][6730/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 2.0210 (2.0318) Prec@1 52.500 (47.576) Prec@5 76.875 (78.083) Epoch: [50][6740/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 2.0286 (2.0316) Prec@1 47.500 (47.577) Prec@5 75.000 (78.086) Epoch: [50][6750/11272] Time 0.817 (0.785) Data 0.001 (0.002) Loss 1.9108 (2.0316) Prec@1 52.500 (47.578) Prec@5 78.750 (78.085) Epoch: [50][6760/11272] Time 0.738 (0.785) Data 0.002 (0.002) Loss 1.9752 (2.0316) Prec@1 48.750 (47.578) Prec@5 77.500 (78.085) Epoch: [50][6770/11272] Time 0.743 (0.785) Data 0.001 (0.002) Loss 2.1411 (2.0317) Prec@1 41.875 (47.575) Prec@5 76.250 (78.084) Epoch: [50][6780/11272] Time 0.840 (0.785) Data 0.001 (0.002) Loss 2.1975 (2.0318) Prec@1 42.500 (47.572) Prec@5 77.500 (78.084) Epoch: [50][6790/11272] Time 0.791 (0.785) Data 0.001 (0.002) Loss 1.8866 (2.0317) Prec@1 45.625 (47.574) Prec@5 81.250 (78.086) Epoch: [50][6800/11272] Time 0.734 (0.785) Data 0.001 (0.002) Loss 2.0639 (2.0317) Prec@1 45.625 (47.575) Prec@5 79.375 (78.088) Epoch: [50][6810/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 2.3940 (2.0317) Prec@1 41.250 (47.574) Prec@5 73.750 (78.087) Epoch: [50][6820/11272] Time 0.826 (0.785) Data 0.001 (0.002) Loss 2.1406 (2.0317) Prec@1 46.250 (47.576) Prec@5 73.750 (78.087) Epoch: [50][6830/11272] Time 0.823 (0.785) Data 0.001 (0.002) Loss 1.9581 (2.0317) Prec@1 47.500 (47.576) Prec@5 83.750 (78.089) Epoch: [50][6840/11272] Time 0.725 (0.785) Data 0.001 (0.002) Loss 1.9128 (2.0317) Prec@1 50.625 (47.575) Prec@5 84.375 (78.087) Epoch: [50][6850/11272] Time 0.803 (0.785) Data 0.001 (0.002) Loss 2.0830 (2.0318) Prec@1 50.625 (47.574) Prec@5 75.000 (78.085) Epoch: [50][6860/11272] Time 0.837 (0.785) Data 0.001 (0.002) Loss 1.9895 (2.0319) Prec@1 49.375 (47.571) Prec@5 77.500 (78.082) Epoch: [50][6870/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.9847 (2.0319) Prec@1 45.000 (47.572) Prec@5 81.875 (78.085) Epoch: [50][6880/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 2.1479 (2.0319) Prec@1 44.375 (47.571) Prec@5 76.875 (78.085) Epoch: [50][6890/11272] Time 0.826 (0.785) Data 0.002 (0.002) Loss 2.1214 (2.0320) Prec@1 43.125 (47.569) Prec@5 75.625 (78.085) Epoch: [50][6900/11272] Time 0.809 (0.785) Data 0.001 (0.002) Loss 2.1076 (2.0321) Prec@1 43.125 (47.567) Prec@5 76.875 (78.085) Epoch: [50][6910/11272] Time 0.741 (0.785) Data 0.002 (0.002) Loss 1.8950 (2.0320) Prec@1 53.125 (47.568) Prec@5 80.000 (78.084) Epoch: [50][6920/11272] Time 0.721 (0.785) Data 0.001 (0.002) Loss 2.0233 (2.0321) Prec@1 50.625 (47.567) Prec@5 77.500 (78.083) Epoch: [50][6930/11272] Time 0.819 (0.785) Data 0.001 (0.002) Loss 2.0001 (2.0321) Prec@1 50.000 (47.565) Prec@5 76.875 (78.083) Epoch: [50][6940/11272] Time 0.845 (0.785) Data 0.001 (0.002) Loss 2.1000 (2.0322) Prec@1 46.875 (47.563) Prec@5 75.625 (78.082) Epoch: [50][6950/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 2.3046 (2.0323) Prec@1 43.125 (47.561) Prec@5 75.625 (78.081) Epoch: [50][6960/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 2.3924 (2.0324) Prec@1 36.875 (47.559) Prec@5 71.875 (78.079) Epoch: [50][6970/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 2.1555 (2.0324) Prec@1 45.625 (47.560) Prec@5 78.750 (78.081) Epoch: [50][6980/11272] Time 0.765 (0.785) Data 0.003 (0.002) Loss 1.9195 (2.0324) Prec@1 48.750 (47.560) Prec@5 78.750 (78.081) Epoch: [50][6990/11272] Time 0.743 (0.785) Data 0.001 (0.002) Loss 2.0730 (2.0322) Prec@1 44.375 (47.563) Prec@5 77.500 (78.084) Epoch: [50][7000/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 2.0871 (2.0323) Prec@1 50.625 (47.564) Prec@5 78.125 (78.084) Epoch: [50][7010/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 1.8879 (2.0322) Prec@1 50.000 (47.564) Prec@5 80.625 (78.087) Epoch: [50][7020/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 1.7786 (2.0323) Prec@1 52.500 (47.561) Prec@5 82.500 (78.086) Epoch: [50][7030/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.8605 (2.0323) Prec@1 54.375 (47.566) Prec@5 78.750 (78.087) Epoch: [50][7040/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 2.1084 (2.0322) Prec@1 51.250 (47.568) Prec@5 79.375 (78.088) Epoch: [50][7050/11272] Time 0.852 (0.785) Data 0.001 (0.002) Loss 1.9629 (2.0323) Prec@1 45.000 (47.565) Prec@5 78.750 (78.088) Epoch: [50][7060/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 2.0104 (2.0323) Prec@1 46.875 (47.564) Prec@5 77.500 (78.086) Epoch: [50][7070/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 2.0632 (2.0323) Prec@1 44.375 (47.560) Prec@5 76.875 (78.087) Epoch: [50][7080/11272] Time 0.834 (0.785) Data 0.002 (0.002) Loss 2.3257 (2.0324) Prec@1 44.375 (47.559) Prec@5 73.125 (78.083) Epoch: [50][7090/11272] Time 0.849 (0.785) Data 0.001 (0.002) Loss 2.1807 (2.0325) Prec@1 45.000 (47.559) Prec@5 75.000 (78.080) Epoch: [50][7100/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.9418 (2.0325) Prec@1 42.500 (47.557) Prec@5 78.750 (78.081) Epoch: [50][7110/11272] Time 0.885 (0.785) Data 0.001 (0.002) Loss 2.1449 (2.0325) Prec@1 45.625 (47.557) Prec@5 73.125 (78.080) Epoch: [50][7120/11272] Time 0.831 (0.785) Data 0.001 (0.002) Loss 2.0173 (2.0325) Prec@1 44.375 (47.557) Prec@5 81.250 (78.080) Epoch: [50][7130/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 2.0706 (2.0324) Prec@1 50.625 (47.559) Prec@5 76.875 (78.080) Epoch: [50][7140/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 2.1901 (2.0324) Prec@1 38.125 (47.558) Prec@5 73.125 (78.079) Epoch: [50][7150/11272] Time 0.850 (0.785) Data 0.002 (0.002) Loss 2.0215 (2.0325) Prec@1 41.250 (47.557) Prec@5 81.875 (78.078) Epoch: [50][7160/11272] Time 0.780 (0.785) Data 0.001 (0.002) Loss 2.3103 (2.0325) Prec@1 38.125 (47.555) Prec@5 73.750 (78.077) Epoch: [50][7170/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.8867 (2.0326) Prec@1 47.500 (47.553) Prec@5 82.500 (78.076) Epoch: [50][7180/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.0262 (2.0326) Prec@1 48.125 (47.552) Prec@5 78.125 (78.075) Epoch: [50][7190/11272] Time 0.880 (0.785) Data 0.002 (0.002) Loss 2.2184 (2.0327) Prec@1 48.125 (47.553) Prec@5 73.750 (78.073) Epoch: [50][7200/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 2.2029 (2.0326) Prec@1 41.875 (47.555) Prec@5 75.625 (78.075) Epoch: [50][7210/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 1.9644 (2.0326) Prec@1 49.375 (47.554) Prec@5 76.875 (78.075) Epoch: [50][7220/11272] Time 0.752 (0.785) Data 0.002 (0.002) Loss 1.9648 (2.0326) Prec@1 47.500 (47.555) Prec@5 81.875 (78.075) Epoch: [50][7230/11272] Time 0.850 (0.785) Data 0.001 (0.002) Loss 1.9752 (2.0326) Prec@1 48.125 (47.555) Prec@5 80.625 (78.075) Epoch: [50][7240/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 2.0006 (2.0326) Prec@1 45.000 (47.556) Prec@5 78.125 (78.073) Epoch: [50][7250/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.8609 (2.0326) Prec@1 48.750 (47.557) Prec@5 83.750 (78.075) Epoch: [50][7260/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 2.0584 (2.0326) Prec@1 45.625 (47.558) Prec@5 75.000 (78.075) Epoch: [50][7270/11272] Time 0.836 (0.785) Data 0.001 (0.002) Loss 2.0027 (2.0326) Prec@1 44.375 (47.558) Prec@5 80.000 (78.073) Epoch: [50][7280/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.8756 (2.0325) Prec@1 48.750 (47.560) Prec@5 81.250 (78.074) Epoch: [50][7290/11272] Time 0.724 (0.785) Data 0.001 (0.002) Loss 2.0654 (2.0325) Prec@1 48.750 (47.562) Prec@5 77.500 (78.073) Epoch: [50][7300/11272] Time 0.874 (0.785) Data 0.002 (0.002) Loss 2.2141 (2.0326) Prec@1 46.875 (47.562) Prec@5 77.500 (78.073) Epoch: [50][7310/11272] Time 0.830 (0.785) Data 0.001 (0.002) Loss 2.0852 (2.0326) Prec@1 47.500 (47.562) Prec@5 76.250 (78.073) Epoch: [50][7320/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.9541 (2.0325) Prec@1 48.750 (47.562) Prec@5 77.500 (78.072) Epoch: [50][7330/11272] Time 0.722 (0.785) Data 0.001 (0.002) Loss 2.1699 (2.0326) Prec@1 43.125 (47.561) Prec@5 75.625 (78.073) Epoch: [50][7340/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 2.1724 (2.0325) Prec@1 45.625 (47.564) Prec@5 73.750 (78.074) Epoch: [50][7350/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.9798 (2.0325) Prec@1 49.375 (47.565) Prec@5 78.125 (78.075) Epoch: [50][7360/11272] Time 0.730 (0.785) Data 0.001 (0.002) Loss 1.9742 (2.0325) Prec@1 49.375 (47.566) Prec@5 76.875 (78.074) Epoch: [50][7370/11272] Time 0.751 (0.785) Data 0.002 (0.002) Loss 2.3990 (2.0326) Prec@1 40.000 (47.567) Prec@5 71.250 (78.074) Epoch: [50][7380/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 2.2382 (2.0325) Prec@1 43.125 (47.567) Prec@5 73.125 (78.076) Epoch: [50][7390/11272] Time 0.730 (0.785) Data 0.002 (0.002) Loss 2.0661 (2.0325) Prec@1 50.000 (47.564) Prec@5 81.875 (78.076) Epoch: [50][7400/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.8335 (2.0326) Prec@1 52.500 (47.562) Prec@5 81.875 (78.076) Epoch: [50][7410/11272] Time 0.850 (0.785) Data 0.001 (0.002) Loss 1.5935 (2.0325) Prec@1 56.875 (47.564) Prec@5 88.750 (78.078) Epoch: [50][7420/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 2.1018 (2.0325) Prec@1 41.250 (47.563) Prec@5 78.125 (78.078) Epoch: [50][7430/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.9670 (2.0326) Prec@1 51.250 (47.562) Prec@5 77.500 (78.076) Epoch: [50][7440/11272] Time 0.730 (0.785) Data 0.001 (0.002) Loss 1.8604 (2.0325) Prec@1 56.875 (47.566) Prec@5 78.750 (78.075) Epoch: [50][7450/11272] Time 0.829 (0.785) Data 0.002 (0.002) Loss 2.1194 (2.0326) Prec@1 43.125 (47.565) Prec@5 77.500 (78.076) Epoch: [50][7460/11272] Time 0.855 (0.785) Data 0.001 (0.002) Loss 2.1451 (2.0325) Prec@1 47.500 (47.565) Prec@5 75.625 (78.076) Epoch: [50][7470/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 2.1069 (2.0325) Prec@1 44.375 (47.563) Prec@5 73.125 (78.075) Epoch: [50][7480/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 1.9475 (2.0326) Prec@1 46.250 (47.560) Prec@5 82.500 (78.074) Epoch: [50][7490/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 2.2315 (2.0327) Prec@1 39.375 (47.559) Prec@5 78.750 (78.075) Epoch: [50][7500/11272] Time 0.831 (0.785) Data 0.001 (0.002) Loss 2.2465 (2.0328) Prec@1 40.000 (47.559) Prec@5 75.625 (78.073) Epoch: [50][7510/11272] Time 0.757 (0.785) Data 0.001 (0.002) Loss 1.8661 (2.0326) Prec@1 51.875 (47.562) Prec@5 79.375 (78.075) Epoch: [50][7520/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 2.0776 (2.0326) Prec@1 46.250 (47.563) Prec@5 78.125 (78.076) Epoch: [50][7530/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.9183 (2.0325) Prec@1 50.625 (47.567) Prec@5 78.125 (78.077) Epoch: [50][7540/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.0018 (2.0326) Prec@1 48.750 (47.566) Prec@5 81.250 (78.073) Epoch: [50][7550/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1191 (2.0327) Prec@1 46.875 (47.564) Prec@5 75.625 (78.071) Epoch: [50][7560/11272] Time 0.876 (0.786) Data 0.001 (0.002) Loss 1.8825 (2.0327) Prec@1 52.500 (47.565) Prec@5 77.500 (78.073) Epoch: [50][7570/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.9131 (2.0327) Prec@1 57.500 (47.566) Prec@5 80.625 (78.072) Epoch: [50][7580/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 2.0003 (2.0326) Prec@1 50.000 (47.567) Prec@5 77.500 (78.072) Epoch: [50][7590/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.9426 (2.0326) Prec@1 51.875 (47.568) Prec@5 80.000 (78.073) Epoch: [50][7600/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.0050 (2.0327) Prec@1 50.000 (47.565) Prec@5 78.125 (78.071) Epoch: [50][7610/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 2.2002 (2.0328) Prec@1 40.000 (47.563) Prec@5 73.125 (78.070) Epoch: [50][7620/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 1.8975 (2.0327) Prec@1 45.000 (47.563) Prec@5 83.125 (78.071) Epoch: [50][7630/11272] Time 0.753 (0.786) Data 0.001 (0.002) Loss 2.4429 (2.0329) Prec@1 35.625 (47.560) Prec@5 71.875 (78.069) Epoch: [50][7640/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 2.0793 (2.0329) Prec@1 50.625 (47.558) Prec@5 71.875 (78.067) Epoch: [50][7650/11272] Time 0.737 (0.786) Data 0.003 (0.002) Loss 1.8143 (2.0329) Prec@1 49.375 (47.557) Prec@5 78.750 (78.067) Epoch: [50][7660/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 2.0962 (2.0329) Prec@1 45.000 (47.555) Prec@5 77.500 (78.065) Epoch: [50][7670/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.0990 (2.0330) Prec@1 46.250 (47.553) Prec@5 76.250 (78.065) Epoch: [50][7680/11272] Time 0.887 (0.786) Data 0.002 (0.002) Loss 2.1469 (2.0330) Prec@1 42.500 (47.552) Prec@5 76.250 (78.064) Epoch: [50][7690/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.8837 (2.0330) Prec@1 55.625 (47.555) Prec@5 80.000 (78.065) Epoch: [50][7700/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 2.2211 (2.0330) Prec@1 43.125 (47.554) Prec@5 73.125 (78.063) Epoch: [50][7710/11272] Time 0.862 (0.786) Data 0.002 (0.002) Loss 2.1195 (2.0330) Prec@1 46.875 (47.554) Prec@5 76.875 (78.063) Epoch: [50][7720/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.9154 (2.0330) Prec@1 48.750 (47.553) Prec@5 80.625 (78.063) Epoch: [50][7730/11272] Time 0.792 (0.786) Data 0.002 (0.002) Loss 1.7460 (2.0331) Prec@1 59.375 (47.552) Prec@5 83.125 (78.061) Epoch: [50][7740/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9458 (2.0333) Prec@1 51.250 (47.550) Prec@5 81.250 (78.059) Epoch: [50][7750/11272] Time 0.844 (0.786) Data 0.002 (0.002) Loss 1.9730 (2.0332) Prec@1 52.500 (47.551) Prec@5 76.875 (78.061) Epoch: [50][7760/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.8604 (2.0331) Prec@1 53.125 (47.553) Prec@5 85.000 (78.063) Epoch: [50][7770/11272] Time 0.764 (0.786) Data 0.001 (0.002) Loss 1.9862 (2.0332) Prec@1 48.750 (47.552) Prec@5 76.875 (78.060) Epoch: [50][7780/11272] Time 0.886 (0.786) Data 0.001 (0.002) Loss 2.0101 (2.0331) Prec@1 48.125 (47.553) Prec@5 80.000 (78.062) Epoch: [50][7790/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.1170 (2.0332) Prec@1 45.000 (47.550) Prec@5 79.375 (78.062) Epoch: [50][7800/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.0496 (2.0332) Prec@1 49.375 (47.551) Prec@5 78.125 (78.061) Epoch: [50][7810/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.1380 (2.0333) Prec@1 44.375 (47.550) Prec@5 77.500 (78.059) Epoch: [50][7820/11272] Time 0.898 (0.786) Data 0.002 (0.002) Loss 2.1882 (2.0333) Prec@1 43.750 (47.550) Prec@5 75.625 (78.057) Epoch: [50][7830/11272] Time 0.891 (0.786) Data 0.002 (0.002) Loss 2.2345 (2.0333) Prec@1 41.875 (47.551) Prec@5 79.375 (78.057) Epoch: [50][7840/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 2.2092 (2.0333) Prec@1 42.500 (47.553) Prec@5 74.375 (78.057) Epoch: [50][7850/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 2.1136 (2.0333) Prec@1 46.250 (47.552) Prec@5 78.125 (78.055) Epoch: [50][7860/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.9189 (2.0332) Prec@1 49.375 (47.553) Prec@5 83.750 (78.058) Epoch: [50][7870/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.0788 (2.0332) Prec@1 50.000 (47.554) Prec@5 74.375 (78.059) Epoch: [50][7880/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 2.3035 (2.0332) Prec@1 43.750 (47.555) Prec@5 75.000 (78.058) Epoch: [50][7890/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0991 (2.0332) Prec@1 48.125 (47.555) Prec@5 75.625 (78.059) Epoch: [50][7900/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 2.4515 (2.0334) Prec@1 42.500 (47.552) Prec@5 73.750 (78.055) Epoch: [50][7910/11272] Time 0.729 (0.786) Data 0.003 (0.002) Loss 1.8558 (2.0334) Prec@1 54.375 (47.553) Prec@5 80.000 (78.056) Epoch: [50][7920/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.9630 (2.0333) Prec@1 48.750 (47.553) Prec@5 79.375 (78.056) Epoch: [50][7930/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 2.0000 (2.0334) Prec@1 45.000 (47.551) Prec@5 76.250 (78.055) Epoch: [50][7940/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.8796 (2.0335) Prec@1 53.750 (47.549) Prec@5 80.625 (78.054) Epoch: [50][7950/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.9470 (2.0335) Prec@1 48.750 (47.546) Prec@5 78.750 (78.055) Epoch: [50][7960/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 2.3127 (2.0335) Prec@1 45.625 (47.547) Prec@5 71.875 (78.054) Epoch: [50][7970/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.9248 (2.0335) Prec@1 52.500 (47.545) Prec@5 81.250 (78.053) Epoch: [50][7980/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 1.9755 (2.0335) Prec@1 50.000 (47.546) Prec@5 76.250 (78.053) Epoch: [50][7990/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 2.0617 (2.0336) Prec@1 48.125 (47.545) Prec@5 75.000 (78.051) Epoch: [50][8000/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.1174 (2.0336) Prec@1 41.875 (47.545) Prec@5 77.500 (78.051) Epoch: [50][8010/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 2.2894 (2.0336) Prec@1 42.500 (47.545) Prec@5 71.875 (78.050) Epoch: [50][8020/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.9218 (2.0336) Prec@1 50.000 (47.547) Prec@5 78.125 (78.051) Epoch: [50][8030/11272] Time 0.776 (0.786) Data 0.002 (0.002) Loss 2.1902 (2.0337) Prec@1 46.250 (47.544) Prec@5 75.625 (78.050) Epoch: [50][8040/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 1.8497 (2.0336) Prec@1 51.250 (47.545) Prec@5 84.375 (78.052) Epoch: [50][8050/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.2098 (2.0337) Prec@1 40.625 (47.542) Prec@5 73.750 (78.051) Epoch: [50][8060/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8273 (2.0337) Prec@1 55.000 (47.543) Prec@5 79.375 (78.051) Epoch: [50][8070/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.9583 (2.0336) Prec@1 48.750 (47.542) Prec@5 81.250 (78.052) Epoch: [50][8080/11272] Time 0.855 (0.786) Data 0.002 (0.002) Loss 2.1958 (2.0337) Prec@1 45.625 (47.541) Prec@5 76.875 (78.051) Epoch: [50][8090/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.1597 (2.0338) Prec@1 43.750 (47.541) Prec@5 73.750 (78.048) Epoch: [50][8100/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.9375 (2.0339) Prec@1 53.125 (47.542) Prec@5 81.250 (78.048) Epoch: [50][8110/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.1215 (2.0339) Prec@1 45.000 (47.540) Prec@5 76.250 (78.049) Epoch: [50][8120/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 2.0312 (2.0339) Prec@1 48.750 (47.540) Prec@5 77.500 (78.049) Epoch: [50][8130/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.8620 (2.0339) Prec@1 52.500 (47.540) Prec@5 82.500 (78.050) Epoch: [50][8140/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 2.1105 (2.0339) Prec@1 46.875 (47.541) Prec@5 77.500 (78.049) Epoch: [50][8150/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.9344 (2.0339) Prec@1 55.000 (47.543) Prec@5 80.625 (78.049) Epoch: [50][8160/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 2.0742 (2.0339) Prec@1 51.250 (47.543) Prec@5 75.625 (78.048) Epoch: [50][8170/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 2.1015 (2.0339) Prec@1 44.375 (47.543) Prec@5 78.125 (78.048) Epoch: [50][8180/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 2.1278 (2.0339) Prec@1 42.500 (47.544) Prec@5 79.375 (78.048) Epoch: [50][8190/11272] Time 0.917 (0.786) Data 0.001 (0.002) Loss 1.9911 (2.0339) Prec@1 43.750 (47.544) Prec@5 76.250 (78.048) Epoch: [50][8200/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 1.8086 (2.0340) Prec@1 48.750 (47.544) Prec@5 85.000 (78.048) Epoch: [50][8210/11272] Time 0.707 (0.786) Data 0.001 (0.002) Loss 2.0994 (2.0340) Prec@1 51.250 (47.542) Prec@5 76.250 (78.045) Epoch: [50][8220/11272] Time 0.717 (0.786) Data 0.002 (0.002) Loss 2.3275 (2.0341) Prec@1 35.625 (47.541) Prec@5 75.000 (78.045) Epoch: [50][8230/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 2.0935 (2.0340) Prec@1 49.375 (47.542) Prec@5 80.625 (78.047) Epoch: [50][8240/11272] Time 0.790 (0.786) Data 0.001 (0.002) Loss 1.8732 (2.0340) Prec@1 49.375 (47.541) Prec@5 79.375 (78.048) Epoch: [50][8250/11272] Time 0.762 (0.786) Data 0.001 (0.002) Loss 2.1607 (2.0341) Prec@1 43.750 (47.539) Prec@5 76.875 (78.047) Epoch: [50][8260/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.0844 (2.0341) Prec@1 51.875 (47.540) Prec@5 76.875 (78.047) Epoch: [50][8270/11272] Time 0.799 (0.786) Data 0.001 (0.002) Loss 2.0732 (2.0341) Prec@1 46.875 (47.539) Prec@5 76.875 (78.047) Epoch: [50][8280/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.9836 (2.0341) Prec@1 45.625 (47.539) Prec@5 77.500 (78.047) Epoch: [50][8290/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 2.2340 (2.0342) Prec@1 41.875 (47.539) Prec@5 75.000 (78.046) Epoch: [50][8300/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0987 (2.0341) Prec@1 47.500 (47.540) Prec@5 75.625 (78.046) Epoch: [50][8310/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 2.0500 (2.0342) Prec@1 45.625 (47.540) Prec@5 80.000 (78.044) Epoch: [50][8320/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.0332 (2.0343) Prec@1 48.125 (47.538) Prec@5 75.625 (78.042) Epoch: [50][8330/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 2.0704 (2.0343) Prec@1 48.750 (47.537) Prec@5 75.625 (78.041) Epoch: [50][8340/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9091 (2.0342) Prec@1 54.375 (47.539) Prec@5 83.125 (78.043) Epoch: [50][8350/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.6737 (2.0341) Prec@1 52.500 (47.540) Prec@5 85.000 (78.043) Epoch: [50][8360/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.0594 (2.0341) Prec@1 47.500 (47.540) Prec@5 80.000 (78.043) Epoch: [50][8370/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 1.9901 (2.0342) Prec@1 43.125 (47.537) Prec@5 79.375 (78.042) Epoch: [50][8380/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 2.0638 (2.0342) Prec@1 43.125 (47.536) Prec@5 76.875 (78.041) Epoch: [50][8390/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 1.9482 (2.0342) Prec@1 50.625 (47.538) Prec@5 78.750 (78.042) Epoch: [50][8400/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.1720 (2.0342) Prec@1 45.625 (47.537) Prec@5 75.625 (78.040) Epoch: [50][8410/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 2.0403 (2.0343) Prec@1 43.125 (47.536) Prec@5 78.750 (78.040) Epoch: [50][8420/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0979 (2.0343) Prec@1 50.625 (47.535) Prec@5 78.125 (78.039) Epoch: [50][8430/11272] Time 0.784 (0.786) Data 0.001 (0.002) Loss 2.0455 (2.0343) Prec@1 46.250 (47.535) Prec@5 78.125 (78.038) Epoch: [50][8440/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 2.0407 (2.0343) Prec@1 46.875 (47.535) Prec@5 73.750 (78.038) Epoch: [50][8450/11272] Time 0.804 (0.786) Data 0.001 (0.002) Loss 1.9666 (2.0342) Prec@1 46.875 (47.538) Prec@5 79.375 (78.040) Epoch: [50][8460/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.9707 (2.0342) Prec@1 52.500 (47.540) Prec@5 83.125 (78.042) Epoch: [50][8470/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.8186 (2.0342) Prec@1 53.125 (47.539) Prec@5 81.250 (78.042) Epoch: [50][8480/11272] Time 0.804 (0.786) Data 0.002 (0.002) Loss 2.1092 (2.0342) Prec@1 48.750 (47.539) Prec@5 77.500 (78.041) Epoch: [50][8490/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 2.2276 (2.0343) Prec@1 45.625 (47.539) Prec@5 73.750 (78.040) Epoch: [50][8500/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9162 (2.0342) Prec@1 49.375 (47.540) Prec@5 82.500 (78.043) Epoch: [50][8510/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.1228 (2.0342) Prec@1 48.750 (47.540) Prec@5 76.875 (78.045) Epoch: [50][8520/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.9620 (2.0342) Prec@1 48.125 (47.539) Prec@5 76.875 (78.045) Epoch: [50][8530/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8724 (2.0342) Prec@1 48.125 (47.539) Prec@5 82.500 (78.046) Epoch: [50][8540/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.8286 (2.0341) Prec@1 51.250 (47.540) Prec@5 81.875 (78.047) Epoch: [50][8550/11272] Time 0.771 (0.786) Data 0.004 (0.002) Loss 1.7573 (2.0341) Prec@1 52.500 (47.541) Prec@5 83.125 (78.047) Epoch: [50][8560/11272] Time 0.759 (0.786) Data 0.002 (0.002) Loss 2.2894 (2.0342) Prec@1 39.375 (47.538) Prec@5 79.375 (78.047) Epoch: [50][8570/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 1.9093 (2.0343) Prec@1 49.375 (47.537) Prec@5 85.625 (78.046) Epoch: [50][8580/11272] Time 0.792 (0.786) Data 0.003 (0.002) Loss 2.0135 (2.0343) Prec@1 47.500 (47.537) Prec@5 80.625 (78.046) Epoch: [50][8590/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 2.0030 (2.0343) Prec@1 50.000 (47.538) Prec@5 80.000 (78.046) Epoch: [50][8600/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 2.2275 (2.0343) Prec@1 45.000 (47.537) Prec@5 70.625 (78.045) Epoch: [50][8610/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.1460 (2.0343) Prec@1 54.375 (47.538) Prec@5 75.000 (78.045) Epoch: [50][8620/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 2.1895 (2.0343) Prec@1 46.250 (47.537) Prec@5 76.250 (78.045) Epoch: [50][8630/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 2.2080 (2.0343) Prec@1 43.125 (47.538) Prec@5 76.250 (78.045) Epoch: [50][8640/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9305 (2.0343) Prec@1 53.125 (47.538) Prec@5 80.000 (78.045) Epoch: [50][8650/11272] Time 0.851 (0.786) Data 0.002 (0.002) Loss 1.8239 (2.0343) Prec@1 51.875 (47.539) Prec@5 81.875 (78.046) Epoch: [50][8660/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.6887 (2.0342) Prec@1 55.000 (47.539) Prec@5 84.375 (78.045) Epoch: [50][8670/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 2.2900 (2.0342) Prec@1 43.750 (47.540) Prec@5 73.125 (78.046) Epoch: [50][8680/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0241 (2.0342) Prec@1 49.375 (47.540) Prec@5 76.250 (78.046) Epoch: [50][8690/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.1772 (2.0342) Prec@1 44.375 (47.538) Prec@5 76.250 (78.047) Epoch: [50][8700/11272] Time 0.767 (0.786) Data 0.002 (0.002) Loss 2.0136 (2.0342) Prec@1 43.125 (47.536) Prec@5 76.250 (78.046) Epoch: [50][8710/11272] Time 0.860 (0.786) Data 0.001 (0.002) Loss 2.0476 (2.0342) Prec@1 46.250 (47.537) Prec@5 78.750 (78.047) Epoch: [50][8720/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 2.0036 (2.0342) Prec@1 45.625 (47.536) Prec@5 80.000 (78.048) Epoch: [50][8730/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 2.1105 (2.0342) Prec@1 41.250 (47.537) Prec@5 78.125 (78.049) Epoch: [50][8740/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.0659 (2.0342) Prec@1 45.000 (47.537) Prec@5 72.500 (78.047) Epoch: [50][8750/11272] Time 0.797 (0.786) Data 0.001 (0.002) Loss 1.9857 (2.0342) Prec@1 53.125 (47.538) Prec@5 78.125 (78.047) Epoch: [50][8760/11272] Time 0.858 (0.786) Data 0.002 (0.002) Loss 2.1553 (2.0341) Prec@1 49.375 (47.540) Prec@5 76.875 (78.047) Epoch: [50][8770/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0481 (2.0341) Prec@1 45.625 (47.540) Prec@5 77.500 (78.047) Epoch: [50][8780/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.8998 (2.0342) Prec@1 49.375 (47.538) Prec@5 80.625 (78.047) Epoch: [50][8790/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 2.1503 (2.0343) Prec@1 47.500 (47.537) Prec@5 75.000 (78.046) Epoch: [50][8800/11272] Time 0.803 (0.786) Data 0.001 (0.002) Loss 2.0343 (2.0343) Prec@1 46.875 (47.537) Prec@5 80.000 (78.046) Epoch: [50][8810/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.9207 (2.0342) Prec@1 53.125 (47.537) Prec@5 80.625 (78.046) Epoch: [50][8820/11272] Time 0.756 (0.786) Data 0.002 (0.002) Loss 1.9223 (2.0343) Prec@1 46.250 (47.535) Prec@5 76.250 (78.046) Epoch: [50][8830/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.2416 (2.0343) Prec@1 43.750 (47.534) Prec@5 77.500 (78.047) Epoch: [50][8840/11272] Time 0.747 (0.786) Data 0.004 (0.002) Loss 1.8889 (2.0343) Prec@1 50.000 (47.532) Prec@5 80.000 (78.046) Epoch: [50][8850/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.2684 (2.0343) Prec@1 43.750 (47.532) Prec@5 70.000 (78.045) Epoch: [50][8860/11272] Time 0.905 (0.786) Data 0.001 (0.002) Loss 2.1514 (2.0344) Prec@1 46.875 (47.532) Prec@5 77.500 (78.044) Epoch: [50][8870/11272] Time 0.793 (0.786) Data 0.001 (0.002) Loss 1.8030 (2.0343) Prec@1 55.625 (47.534) Prec@5 82.500 (78.044) Epoch: [50][8880/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.7957 (2.0343) Prec@1 49.375 (47.535) Prec@5 81.250 (78.044) Epoch: [50][8890/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 1.8874 (2.0342) Prec@1 47.500 (47.538) Prec@5 79.375 (78.046) Epoch: [50][8900/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 2.0476 (2.0342) Prec@1 50.000 (47.536) Prec@5 73.125 (78.045) Epoch: [50][8910/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 2.1596 (2.0343) Prec@1 40.625 (47.534) Prec@5 79.375 (78.043) Epoch: [50][8920/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.0536 (2.0343) Prec@1 46.250 (47.534) Prec@5 78.125 (78.043) Epoch: [50][8930/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 2.0649 (2.0343) Prec@1 45.000 (47.532) Prec@5 76.250 (78.043) Epoch: [50][8940/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.2490 (2.0343) Prec@1 41.875 (47.532) Prec@5 77.500 (78.045) Epoch: [50][8950/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.9506 (2.0343) Prec@1 51.875 (47.533) Prec@5 78.750 (78.044) Epoch: [50][8960/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 2.2830 (2.0343) Prec@1 40.000 (47.532) Prec@5 74.375 (78.044) Epoch: [50][8970/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.0049 (2.0344) Prec@1 48.125 (47.531) Prec@5 75.000 (78.042) Epoch: [50][8980/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0015 (2.0344) Prec@1 51.250 (47.530) Prec@5 77.500 (78.040) Epoch: [50][8990/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 2.0516 (2.0344) Prec@1 50.625 (47.531) Prec@5 77.500 (78.040) Epoch: [50][9000/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 2.1680 (2.0345) Prec@1 44.375 (47.530) Prec@5 75.625 (78.039) Epoch: [50][9010/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.9944 (2.0345) Prec@1 48.750 (47.530) Prec@5 82.500 (78.040) Epoch: [50][9020/11272] Time 0.867 (0.786) Data 0.001 (0.002) Loss 1.8702 (2.0345) Prec@1 54.375 (47.530) Prec@5 81.250 (78.040) Epoch: [50][9030/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0432 (2.0345) Prec@1 46.875 (47.531) Prec@5 78.750 (78.040) Epoch: [50][9040/11272] Time 0.793 (0.786) Data 0.002 (0.002) Loss 1.9508 (2.0344) Prec@1 49.375 (47.532) Prec@5 81.250 (78.040) Epoch: [50][9050/11272] Time 0.915 (0.786) Data 0.002 (0.002) Loss 1.7876 (2.0344) Prec@1 55.000 (47.532) Prec@5 80.625 (78.041) Epoch: [50][9060/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 2.0999 (2.0345) Prec@1 45.625 (47.531) Prec@5 75.000 (78.039) Epoch: [50][9070/11272] Time 0.762 (0.786) Data 0.002 (0.002) Loss 2.0167 (2.0344) Prec@1 50.000 (47.535) Prec@5 79.375 (78.041) Epoch: [50][9080/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 2.2801 (2.0344) Prec@1 40.625 (47.535) Prec@5 74.375 (78.041) Epoch: [50][9090/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 2.1502 (2.0344) Prec@1 45.000 (47.534) Prec@5 76.250 (78.040) Epoch: [50][9100/11272] Time 0.813 (0.786) Data 0.001 (0.002) Loss 2.0599 (2.0344) Prec@1 48.750 (47.534) Prec@5 77.500 (78.039) Epoch: [50][9110/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 2.0238 (2.0344) Prec@1 46.875 (47.533) Prec@5 77.500 (78.038) Epoch: [50][9120/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 2.2611 (2.0345) Prec@1 46.250 (47.532) Prec@5 76.875 (78.038) Epoch: [50][9130/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 2.1009 (2.0345) Prec@1 46.875 (47.531) Prec@5 76.250 (78.038) Epoch: [50][9140/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 1.9964 (2.0345) Prec@1 48.125 (47.530) Prec@5 79.375 (78.038) Epoch: [50][9150/11272] Time 0.786 (0.786) Data 0.002 (0.002) Loss 2.0819 (2.0345) Prec@1 43.125 (47.530) Prec@5 76.250 (78.039) Epoch: [50][9160/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0099 (2.0345) Prec@1 48.750 (47.529) Prec@5 80.625 (78.040) Epoch: [50][9170/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.8524 (2.0344) Prec@1 51.250 (47.532) Prec@5 82.500 (78.042) Epoch: [50][9180/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.2654 (2.0343) Prec@1 43.750 (47.532) Prec@5 71.875 (78.041) Epoch: [50][9190/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.9902 (2.0342) Prec@1 50.000 (47.533) Prec@5 74.375 (78.042) Epoch: [50][9200/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9453 (2.0343) Prec@1 47.500 (47.531) Prec@5 80.625 (78.041) Epoch: [50][9210/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.1922 (2.0344) Prec@1 41.250 (47.530) Prec@5 75.000 (78.040) Epoch: [50][9220/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.8947 (2.0345) Prec@1 51.250 (47.528) Prec@5 79.375 (78.039) Epoch: [50][9230/11272] Time 0.749 (0.786) Data 0.002 (0.002) Loss 2.1066 (2.0344) Prec@1 46.250 (47.529) Prec@5 75.000 (78.040) Epoch: [50][9240/11272] Time 0.865 (0.786) Data 0.002 (0.002) Loss 1.9655 (2.0344) Prec@1 49.375 (47.530) Prec@5 76.875 (78.040) Epoch: [50][9250/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 2.0899 (2.0345) Prec@1 48.125 (47.527) Prec@5 75.625 (78.039) Epoch: [50][9260/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0465 (2.0346) Prec@1 48.125 (47.525) Prec@5 75.000 (78.037) Epoch: [50][9270/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.2573 (2.0347) Prec@1 43.125 (47.525) Prec@5 72.500 (78.036) Epoch: [50][9280/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.1353 (2.0347) Prec@1 45.625 (47.524) Prec@5 77.500 (78.035) Epoch: [50][9290/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1360 (2.0347) Prec@1 45.625 (47.522) Prec@5 76.250 (78.035) Epoch: [50][9300/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 2.0248 (2.0348) Prec@1 49.375 (47.521) Prec@5 81.875 (78.034) Epoch: [50][9310/11272] Time 0.845 (0.786) Data 0.002 (0.002) Loss 1.7948 (2.0347) Prec@1 56.250 (47.524) Prec@5 83.125 (78.034) Epoch: [50][9320/11272] Time 0.848 (0.786) Data 0.002 (0.002) Loss 2.3390 (2.0348) Prec@1 42.500 (47.524) Prec@5 73.750 (78.033) Epoch: [50][9330/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 2.0450 (2.0348) Prec@1 46.250 (47.523) Prec@5 75.000 (78.030) Epoch: [50][9340/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.7519 (2.0348) Prec@1 55.000 (47.522) Prec@5 82.500 (78.032) Epoch: [50][9350/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 2.0980 (2.0350) Prec@1 43.750 (47.518) Prec@5 81.875 (78.030) Epoch: [50][9360/11272] Time 0.858 (0.786) Data 0.002 (0.002) Loss 1.9747 (2.0349) Prec@1 50.625 (47.519) Prec@5 78.125 (78.032) Epoch: [50][9370/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.9515 (2.0349) Prec@1 49.375 (47.519) Prec@5 80.625 (78.030) Epoch: [50][9380/11272] Time 0.878 (0.786) Data 0.002 (0.002) Loss 2.1060 (2.0349) Prec@1 48.750 (47.519) Prec@5 77.500 (78.029) Epoch: [50][9390/11272] Time 0.853 (0.786) Data 0.002 (0.002) Loss 1.9834 (2.0350) Prec@1 48.125 (47.517) Prec@5 80.000 (78.029) Epoch: [50][9400/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 2.2030 (2.0349) Prec@1 44.375 (47.519) Prec@5 75.625 (78.029) Epoch: [50][9410/11272] Time 0.764 (0.786) Data 0.001 (0.002) Loss 1.9010 (2.0349) Prec@1 54.375 (47.521) Prec@5 78.750 (78.031) Epoch: [50][9420/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 2.1075 (2.0349) Prec@1 50.000 (47.522) Prec@5 73.750 (78.029) Epoch: [50][9430/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 2.2128 (2.0350) Prec@1 41.875 (47.521) Prec@5 76.875 (78.026) Epoch: [50][9440/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.9793 (2.0350) Prec@1 50.000 (47.520) Prec@5 79.375 (78.025) Epoch: [50][9450/11272] Time 0.757 (0.786) Data 0.002 (0.002) Loss 2.0085 (2.0350) Prec@1 51.250 (47.521) Prec@5 80.625 (78.026) Epoch: [50][9460/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 2.0090 (2.0350) Prec@1 50.625 (47.520) Prec@5 75.000 (78.027) Epoch: [50][9470/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 2.0307 (2.0350) Prec@1 51.250 (47.521) Prec@5 75.625 (78.027) Epoch: [50][9480/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 2.0108 (2.0350) Prec@1 46.875 (47.522) Prec@5 77.500 (78.025) Epoch: [50][9490/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8699 (2.0350) Prec@1 52.500 (47.521) Prec@5 79.375 (78.027) Epoch: [50][9500/11272] Time 0.868 (0.786) Data 0.002 (0.002) Loss 2.0451 (2.0350) Prec@1 51.250 (47.522) Prec@5 80.000 (78.027) Epoch: [50][9510/11272] Time 0.761 (0.786) Data 0.004 (0.002) Loss 1.9269 (2.0349) Prec@1 47.500 (47.522) Prec@5 85.000 (78.028) Epoch: [50][9520/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.8616 (2.0349) Prec@1 53.125 (47.521) Prec@5 80.625 (78.029) Epoch: [50][9530/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.3383 (2.0350) Prec@1 38.750 (47.519) Prec@5 73.125 (78.029) Epoch: [50][9540/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 2.0554 (2.0350) Prec@1 50.000 (47.520) Prec@5 78.750 (78.030) Epoch: [50][9550/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1644 (2.0350) Prec@1 45.625 (47.520) Prec@5 73.125 (78.030) Epoch: [50][9560/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0672 (2.0350) Prec@1 47.500 (47.517) Prec@5 76.250 (78.029) Epoch: [50][9570/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.1779 (2.0351) Prec@1 47.500 (47.518) Prec@5 74.375 (78.027) Epoch: [50][9580/11272] Time 0.918 (0.786) Data 0.002 (0.002) Loss 1.9432 (2.0350) Prec@1 47.500 (47.518) Prec@5 79.375 (78.029) Epoch: [50][9590/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 2.0517 (2.0351) Prec@1 47.500 (47.517) Prec@5 80.625 (78.028) Epoch: [50][9600/11272] Time 0.777 (0.786) Data 0.002 (0.002) Loss 2.0570 (2.0350) Prec@1 48.750 (47.516) Prec@5 81.250 (78.029) Epoch: [50][9610/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.0201 (2.0350) Prec@1 48.125 (47.517) Prec@5 75.000 (78.030) Epoch: [50][9620/11272] Time 0.879 (0.786) Data 0.002 (0.002) Loss 2.1351 (2.0351) Prec@1 45.625 (47.515) Prec@5 76.250 (78.028) Epoch: [50][9630/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 2.3319 (2.0350) Prec@1 38.125 (47.516) Prec@5 73.750 (78.027) Epoch: [50][9640/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 2.1305 (2.0350) Prec@1 48.125 (47.517) Prec@5 76.875 (78.027) Epoch: [50][9650/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 2.1296 (2.0350) Prec@1 45.625 (47.515) Prec@5 75.000 (78.026) Epoch: [50][9660/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 2.2269 (2.0351) Prec@1 41.250 (47.514) Prec@5 76.875 (78.027) Epoch: [50][9670/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 2.0999 (2.0351) Prec@1 46.250 (47.514) Prec@5 77.500 (78.026) Epoch: [50][9680/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.9910 (2.0351) Prec@1 48.750 (47.514) Prec@5 76.875 (78.026) Epoch: [50][9690/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.3001 (2.0351) Prec@1 40.000 (47.514) Prec@5 74.375 (78.025) Epoch: [50][9700/11272] Time 0.767 (0.786) Data 0.002 (0.002) Loss 2.0804 (2.0352) Prec@1 48.750 (47.514) Prec@5 76.250 (78.024) Epoch: [50][9710/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 2.0155 (2.0351) Prec@1 52.500 (47.517) Prec@5 76.250 (78.025) Epoch: [50][9720/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.8268 (2.0351) Prec@1 52.500 (47.517) Prec@5 80.000 (78.025) Epoch: [50][9730/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.9722 (2.0351) Prec@1 48.125 (47.516) Prec@5 79.375 (78.024) Epoch: [50][9740/11272] Time 0.751 (0.786) Data 0.002 (0.002) Loss 2.0281 (2.0352) Prec@1 46.250 (47.514) Prec@5 77.500 (78.025) Epoch: [50][9750/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 2.0242 (2.0352) Prec@1 50.625 (47.513) Prec@5 78.125 (78.023) Epoch: [50][9760/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.8976 (2.0352) Prec@1 54.375 (47.516) Prec@5 79.375 (78.022) Epoch: [50][9770/11272] Time 0.765 (0.786) Data 0.003 (0.002) Loss 2.0977 (2.0352) Prec@1 41.250 (47.516) Prec@5 75.625 (78.021) Epoch: [50][9780/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 2.0027 (2.0353) Prec@1 48.125 (47.515) Prec@5 80.625 (78.020) Epoch: [50][9790/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 2.1078 (2.0352) Prec@1 46.875 (47.516) Prec@5 78.750 (78.019) Epoch: [50][9800/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 2.1050 (2.0353) Prec@1 48.125 (47.516) Prec@5 76.875 (78.018) Epoch: [50][9810/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 2.1305 (2.0353) Prec@1 41.875 (47.515) Prec@5 78.125 (78.016) Epoch: [50][9820/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0320 (2.0354) Prec@1 41.250 (47.513) Prec@5 76.250 (78.015) Epoch: [50][9830/11272] Time 0.818 (0.786) Data 0.002 (0.002) Loss 2.2367 (2.0354) Prec@1 45.625 (47.514) Prec@5 75.000 (78.016) Epoch: [50][9840/11272] Time 0.901 (0.786) Data 0.002 (0.002) Loss 2.2345 (2.0354) Prec@1 46.250 (47.513) Prec@5 73.125 (78.014) Epoch: [50][9850/11272] Time 0.754 (0.786) Data 0.001 (0.002) Loss 2.2800 (2.0354) Prec@1 45.000 (47.514) Prec@5 75.000 (78.014) Epoch: [50][9860/11272] Time 0.709 (0.786) Data 0.002 (0.002) Loss 1.8312 (2.0354) Prec@1 51.875 (47.514) Prec@5 80.625 (78.015) Epoch: [50][9870/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.9277 (2.0354) Prec@1 50.625 (47.514) Prec@5 79.375 (78.015) Epoch: [50][9880/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.8827 (2.0354) Prec@1 55.625 (47.515) Prec@5 83.125 (78.015) Epoch: [50][9890/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0259 (2.0353) Prec@1 48.125 (47.516) Prec@5 79.375 (78.016) Epoch: [50][9900/11272] Time 0.811 (0.786) Data 0.001 (0.002) Loss 2.0621 (2.0353) Prec@1 45.000 (47.516) Prec@5 77.500 (78.017) Epoch: [50][9910/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9789 (2.0353) Prec@1 45.000 (47.518) Prec@5 78.125 (78.016) Epoch: [50][9920/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8284 (2.0354) Prec@1 52.500 (47.517) Prec@5 87.500 (78.016) Epoch: [50][9930/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 2.0484 (2.0354) Prec@1 50.000 (47.517) Prec@5 78.750 (78.017) Epoch: [50][9940/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 2.0281 (2.0354) Prec@1 46.250 (47.515) Prec@5 81.250 (78.016) Epoch: [50][9950/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 2.1804 (2.0354) Prec@1 47.500 (47.516) Prec@5 75.000 (78.018) Epoch: [50][9960/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 2.2365 (2.0354) Prec@1 48.125 (47.518) Prec@5 73.750 (78.018) Epoch: [50][9970/11272] Time 0.764 (0.786) Data 0.002 (0.002) Loss 2.2100 (2.0354) Prec@1 41.250 (47.518) Prec@5 76.250 (78.017) Epoch: [50][9980/11272] Time 0.877 (0.786) Data 0.001 (0.002) Loss 2.0700 (2.0355) Prec@1 47.500 (47.517) Prec@5 77.500 (78.016) Epoch: [50][9990/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 2.1090 (2.0355) Prec@1 45.000 (47.513) Prec@5 77.500 (78.016) Epoch: [50][10000/11272] Time 0.770 (0.786) Data 0.002 (0.002) Loss 2.0474 (2.0355) Prec@1 48.125 (47.512) Prec@5 77.500 (78.016) Epoch: [50][10010/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 2.0666 (2.0354) Prec@1 45.000 (47.512) Prec@5 76.250 (78.019) Epoch: [50][10020/11272] Time 0.828 (0.786) Data 0.002 (0.002) Loss 2.2376 (2.0355) Prec@1 47.500 (47.511) Prec@5 76.875 (78.018) Epoch: [50][10030/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 2.2033 (2.0355) Prec@1 43.750 (47.510) Prec@5 75.000 (78.017) Epoch: [50][10040/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.2631 (2.0356) Prec@1 45.625 (47.509) Prec@5 71.875 (78.016) Epoch: [50][10050/11272] Time 0.848 (0.786) Data 0.002 (0.002) Loss 2.0694 (2.0356) Prec@1 50.000 (47.510) Prec@5 78.125 (78.017) Epoch: [50][10060/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 2.0283 (2.0356) Prec@1 50.000 (47.509) Prec@5 78.125 (78.016) Epoch: [50][10070/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 2.1381 (2.0356) Prec@1 40.625 (47.509) Prec@5 78.125 (78.018) Epoch: [50][10080/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.1879 (2.0356) Prec@1 41.250 (47.508) Prec@5 76.875 (78.018) Epoch: [50][10090/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 2.1205 (2.0357) Prec@1 42.500 (47.504) Prec@5 75.625 (78.017) Epoch: [50][10100/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 2.1059 (2.0358) Prec@1 42.500 (47.502) Prec@5 79.375 (78.015) Epoch: [50][10110/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.9137 (2.0358) Prec@1 50.000 (47.503) Prec@5 81.875 (78.015) Epoch: [50][10120/11272] Time 0.770 (0.786) Data 0.002 (0.002) Loss 1.9434 (2.0357) Prec@1 43.750 (47.502) Prec@5 80.000 (78.017) Epoch: [50][10130/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 2.1614 (2.0357) Prec@1 45.625 (47.502) Prec@5 74.375 (78.018) Epoch: [50][10140/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 2.1908 (2.0357) Prec@1 47.500 (47.503) Prec@5 73.125 (78.017) Epoch: [50][10150/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 2.2586 (2.0357) Prec@1 44.375 (47.502) Prec@5 73.125 (78.017) Epoch: [50][10160/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.8593 (2.0358) Prec@1 52.500 (47.501) Prec@5 81.250 (78.016) Epoch: [50][10170/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.8064 (2.0357) Prec@1 52.500 (47.501) Prec@5 81.250 (78.017) Epoch: [50][10180/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 2.2946 (2.0357) Prec@1 41.875 (47.502) Prec@5 73.125 (78.018) Epoch: [50][10190/11272] Time 0.803 (0.786) Data 0.002 (0.002) Loss 1.7987 (2.0357) Prec@1 49.375 (47.499) Prec@5 81.875 (78.017) Epoch: [50][10200/11272] Time 0.882 (0.786) Data 0.002 (0.002) Loss 1.9806 (2.0356) Prec@1 45.625 (47.502) Prec@5 83.125 (78.020) Epoch: [50][10210/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 1.9718 (2.0356) Prec@1 49.375 (47.501) Prec@5 80.000 (78.021) Epoch: [50][10220/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.9588 (2.0356) Prec@1 48.125 (47.502) Prec@5 78.750 (78.021) Epoch: [50][10230/11272] Time 0.765 (0.786) Data 0.001 (0.002) Loss 1.8243 (2.0356) Prec@1 53.125 (47.501) Prec@5 82.500 (78.021) Epoch: [50][10240/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 2.2449 (2.0356) Prec@1 45.625 (47.501) Prec@5 76.875 (78.020) Epoch: [50][10250/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 2.2658 (2.0356) Prec@1 46.875 (47.501) Prec@5 71.875 (78.018) Epoch: [50][10260/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 2.0125 (2.0356) Prec@1 44.375 (47.502) Prec@5 80.000 (78.020) Epoch: [50][10270/11272] Time 0.764 (0.786) Data 0.001 (0.002) Loss 2.0523 (2.0356) Prec@1 46.250 (47.501) Prec@5 81.250 (78.019) Epoch: [50][10280/11272] Time 0.863 (0.786) Data 0.001 (0.002) Loss 1.9900 (2.0356) Prec@1 48.125 (47.500) Prec@5 75.000 (78.019) Epoch: [50][10290/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 2.1443 (2.0356) Prec@1 39.375 (47.500) Prec@5 78.750 (78.020) Epoch: [50][10300/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.9906 (2.0356) Prec@1 44.375 (47.499) Prec@5 77.500 (78.022) Epoch: [50][10310/11272] Time 0.855 (0.786) Data 0.002 (0.002) Loss 2.0859 (2.0356) Prec@1 43.750 (47.497) Prec@5 75.625 (78.021) Epoch: [50][10320/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.9027 (2.0356) Prec@1 49.375 (47.496) Prec@5 79.375 (78.020) Epoch: [50][10330/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.0791 (2.0356) Prec@1 47.500 (47.497) Prec@5 80.000 (78.020) Epoch: [50][10340/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.8731 (2.0357) Prec@1 51.875 (47.497) Prec@5 80.625 (78.020) Epoch: [50][10350/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0344 (2.0357) Prec@1 49.375 (47.495) Prec@5 74.375 (78.018) Epoch: [50][10360/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 2.0953 (2.0357) Prec@1 43.125 (47.497) Prec@5 76.250 (78.019) Epoch: [50][10370/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0458 (2.0356) Prec@1 47.500 (47.495) Prec@5 76.875 (78.019) Epoch: [50][10380/11272] Time 0.768 (0.786) Data 0.002 (0.002) Loss 1.9189 (2.0357) Prec@1 43.125 (47.493) Prec@5 80.000 (78.019) Epoch: [50][10390/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.9165 (2.0356) Prec@1 48.750 (47.496) Prec@5 80.000 (78.021) Epoch: [50][10400/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 2.2404 (2.0356) Prec@1 46.875 (47.495) Prec@5 73.750 (78.020) Epoch: [50][10410/11272] Time 0.783 (0.786) Data 0.001 (0.002) Loss 1.9146 (2.0356) Prec@1 55.000 (47.495) Prec@5 80.000 (78.020) Epoch: [50][10420/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 2.1348 (2.0357) Prec@1 44.375 (47.495) Prec@5 75.000 (78.019) Epoch: [50][10430/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 2.0272 (2.0357) Prec@1 47.500 (47.495) Prec@5 76.875 (78.019) Epoch: [50][10440/11272] Time 0.742 (0.786) Data 0.003 (0.002) Loss 1.9621 (2.0357) Prec@1 51.875 (47.495) Prec@5 78.125 (78.020) Epoch: [50][10450/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 1.7130 (2.0356) Prec@1 57.500 (47.498) Prec@5 81.875 (78.021) Epoch: [50][10460/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.9212 (2.0356) Prec@1 45.625 (47.499) Prec@5 76.875 (78.021) Epoch: [50][10470/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.1836 (2.0355) Prec@1 43.750 (47.499) Prec@5 81.875 (78.022) Epoch: [50][10480/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.8739 (2.0355) Prec@1 53.750 (47.501) Prec@5 86.250 (78.022) Epoch: [50][10490/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 2.2050 (2.0355) Prec@1 41.250 (47.501) Prec@5 74.375 (78.022) Epoch: [50][10500/11272] Time 0.861 (0.787) Data 0.001 (0.002) Loss 2.2153 (2.0355) Prec@1 46.875 (47.500) Prec@5 75.000 (78.021) Epoch: [50][10510/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.8291 (2.0355) Prec@1 49.375 (47.499) Prec@5 85.000 (78.021) Epoch: [50][10520/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0947 (2.0355) Prec@1 46.250 (47.499) Prec@5 76.250 (78.020) Epoch: [50][10530/11272] Time 0.752 (0.787) Data 0.002 (0.002) Loss 2.0738 (2.0355) Prec@1 45.000 (47.499) Prec@5 76.875 (78.022) Epoch: [50][10540/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.9637 (2.0356) Prec@1 50.625 (47.498) Prec@5 81.250 (78.022) Epoch: [50][10550/11272] Time 0.819 (0.787) Data 0.002 (0.002) Loss 1.8901 (2.0356) Prec@1 46.875 (47.496) Prec@5 82.500 (78.021) Epoch: [50][10560/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.7951 (2.0355) Prec@1 49.375 (47.498) Prec@5 79.375 (78.021) Epoch: [50][10570/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.7956 (2.0356) Prec@1 52.500 (47.497) Prec@5 83.125 (78.021) Epoch: [50][10580/11272] Time 0.877 (0.787) Data 0.002 (0.002) Loss 1.7454 (2.0355) Prec@1 52.500 (47.497) Prec@5 81.250 (78.022) Epoch: [50][10590/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 2.0713 (2.0355) Prec@1 50.000 (47.497) Prec@5 78.750 (78.022) Epoch: [50][10600/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.2048 (2.0356) Prec@1 43.125 (47.495) Prec@5 78.125 (78.023) Epoch: [50][10610/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 2.1275 (2.0356) Prec@1 46.250 (47.494) Prec@5 73.750 (78.022) Epoch: [50][10620/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.2012 (2.0357) Prec@1 43.750 (47.494) Prec@5 75.000 (78.021) Epoch: [50][10630/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.9509 (2.0356) Prec@1 48.750 (47.495) Prec@5 83.125 (78.021) Epoch: [50][10640/11272] Time 0.769 (0.787) Data 0.002 (0.002) Loss 2.0873 (2.0357) Prec@1 44.375 (47.493) Prec@5 75.625 (78.019) Epoch: [50][10650/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 2.3326 (2.0357) Prec@1 41.250 (47.493) Prec@5 71.875 (78.020) Epoch: [50][10660/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.9645 (2.0357) Prec@1 46.250 (47.493) Prec@5 77.500 (78.019) Epoch: [50][10670/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.8636 (2.0358) Prec@1 48.750 (47.491) Prec@5 80.625 (78.015) Epoch: [50][10680/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 2.2599 (2.0358) Prec@1 48.750 (47.491) Prec@5 70.000 (78.016) Epoch: [50][10690/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.8649 (2.0358) Prec@1 50.000 (47.491) Prec@5 80.000 (78.016) Epoch: [50][10700/11272] Time 0.731 (0.787) Data 0.003 (0.002) Loss 2.0008 (2.0358) Prec@1 51.250 (47.491) Prec@5 77.500 (78.015) Epoch: [50][10710/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 2.0508 (2.0358) Prec@1 45.000 (47.489) Prec@5 77.500 (78.014) Epoch: [50][10720/11272] Time 0.919 (0.787) Data 0.002 (0.002) Loss 2.3447 (2.0359) Prec@1 35.625 (47.489) Prec@5 73.125 (78.012) Epoch: [50][10730/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.9708 (2.0359) Prec@1 50.000 (47.489) Prec@5 80.000 (78.012) Epoch: [50][10740/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 1.8381 (2.0359) Prec@1 54.375 (47.490) Prec@5 79.375 (78.012) Epoch: [50][10750/11272] Time 0.765 (0.787) Data 0.002 (0.002) Loss 2.0158 (2.0359) Prec@1 47.500 (47.491) Prec@5 76.875 (78.013) Epoch: [50][10760/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.9191 (2.0359) Prec@1 47.500 (47.491) Prec@5 78.750 (78.012) Epoch: [50][10770/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 2.0306 (2.0359) Prec@1 46.250 (47.491) Prec@5 73.125 (78.012) Epoch: [50][10780/11272] Time 0.762 (0.787) Data 0.002 (0.002) Loss 1.9274 (2.0359) Prec@1 45.625 (47.491) Prec@5 76.875 (78.012) Epoch: [50][10790/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 1.9711 (2.0358) Prec@1 51.250 (47.491) Prec@5 80.000 (78.013) Epoch: [50][10800/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.0835 (2.0358) Prec@1 48.125 (47.491) Prec@5 73.750 (78.013) Epoch: [50][10810/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 2.0851 (2.0358) Prec@1 45.625 (47.492) Prec@5 74.375 (78.013) Epoch: [50][10820/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 2.1101 (2.0359) Prec@1 43.750 (47.490) Prec@5 77.500 (78.013) Epoch: [50][10830/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 2.0002 (2.0359) Prec@1 48.125 (47.490) Prec@5 73.750 (78.013) Epoch: [50][10840/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 2.0777 (2.0359) Prec@1 46.875 (47.490) Prec@5 73.750 (78.012) Epoch: [50][10850/11272] Time 0.706 (0.787) Data 0.001 (0.002) Loss 2.1466 (2.0359) Prec@1 43.750 (47.489) Prec@5 73.125 (78.012) Epoch: [50][10860/11272] Time 0.754 (0.787) Data 0.002 (0.002) Loss 1.7875 (2.0359) Prec@1 50.625 (47.489) Prec@5 80.625 (78.012) Epoch: [50][10870/11272] Time 0.872 (0.787) Data 0.001 (0.002) Loss 2.1922 (2.0359) Prec@1 38.125 (47.488) Prec@5 77.500 (78.012) Epoch: [50][10880/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.0985 (2.0360) Prec@1 46.250 (47.487) Prec@5 75.625 (78.012) Epoch: [50][10890/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 2.0237 (2.0360) Prec@1 46.250 (47.487) Prec@5 79.375 (78.010) Epoch: [50][10900/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 1.8087 (2.0360) Prec@1 50.000 (47.486) Prec@5 83.750 (78.011) Epoch: [50][10910/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 2.1410 (2.0360) Prec@1 48.750 (47.487) Prec@5 75.625 (78.010) Epoch: [50][10920/11272] Time 0.800 (0.787) Data 0.001 (0.002) Loss 2.1917 (2.0361) Prec@1 43.125 (47.484) Prec@5 74.375 (78.009) Epoch: [50][10930/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0278 (2.0362) Prec@1 53.750 (47.483) Prec@5 79.375 (78.008) Epoch: [50][10940/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 2.1441 (2.0362) Prec@1 44.375 (47.483) Prec@5 74.375 (78.007) Epoch: [50][10950/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.8843 (2.0362) Prec@1 53.750 (47.484) Prec@5 81.250 (78.009) Epoch: [50][10960/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.8406 (2.0362) Prec@1 46.250 (47.483) Prec@5 81.250 (78.008) Epoch: [50][10970/11272] Time 0.789 (0.787) Data 0.002 (0.002) Loss 2.3008 (2.0363) Prec@1 45.000 (47.480) Prec@5 77.500 (78.008) Epoch: [50][10980/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 2.1442 (2.0364) Prec@1 43.125 (47.478) Prec@5 75.625 (78.007) Epoch: [50][10990/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 2.0157 (2.0365) Prec@1 53.125 (47.476) Prec@5 78.750 (78.004) Epoch: [50][11000/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.9378 (2.0365) Prec@1 50.000 (47.476) Prec@5 80.000 (78.004) Epoch: [50][11010/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 2.0888 (2.0365) Prec@1 49.375 (47.476) Prec@5 76.875 (78.004) Epoch: [50][11020/11272] Time 0.918 (0.787) Data 0.002 (0.002) Loss 2.1459 (2.0366) Prec@1 43.125 (47.474) Prec@5 75.625 (78.003) Epoch: [50][11030/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 2.0723 (2.0366) Prec@1 44.375 (47.472) Prec@5 76.250 (78.001) Epoch: [50][11040/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 2.0168 (2.0367) Prec@1 52.500 (47.471) Prec@5 76.250 (78.000) Epoch: [50][11050/11272] Time 0.780 (0.787) Data 0.002 (0.002) Loss 1.9402 (2.0367) Prec@1 50.000 (47.472) Prec@5 78.750 (78.000) Epoch: [50][11060/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9971 (2.0366) Prec@1 49.375 (47.474) Prec@5 81.250 (78.002) Epoch: [50][11070/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 2.2368 (2.0366) Prec@1 45.625 (47.473) Prec@5 71.875 (78.002) Epoch: [50][11080/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 2.1361 (2.0366) Prec@1 46.250 (47.472) Prec@5 74.375 (78.001) Epoch: [50][11090/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 2.1678 (2.0366) Prec@1 43.750 (47.471) Prec@5 76.250 (78.001) Epoch: [50][11100/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 2.1170 (2.0367) Prec@1 42.500 (47.469) Prec@5 82.500 (78.001) Epoch: [50][11110/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 2.0685 (2.0367) Prec@1 46.875 (47.470) Prec@5 78.750 (78.000) Epoch: [50][11120/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8612 (2.0366) Prec@1 50.625 (47.473) Prec@5 83.750 (78.002) Epoch: [50][11130/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 2.1599 (2.0366) Prec@1 45.000 (47.472) Prec@5 77.500 (78.002) Epoch: [50][11140/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.8669 (2.0366) Prec@1 55.000 (47.473) Prec@5 77.500 (78.002) Epoch: [50][11150/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8361 (2.0365) Prec@1 46.875 (47.472) Prec@5 80.625 (78.002) Epoch: [50][11160/11272] Time 0.760 (0.787) Data 0.002 (0.002) Loss 2.1445 (2.0365) Prec@1 46.250 (47.473) Prec@5 73.125 (78.001) Epoch: [50][11170/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.0570 (2.0365) Prec@1 48.750 (47.472) Prec@5 73.125 (78.001) Epoch: [50][11180/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 2.0648 (2.0366) Prec@1 46.875 (47.472) Prec@5 75.000 (78.001) Epoch: [50][11190/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.9822 (2.0366) Prec@1 54.375 (47.472) Prec@5 76.875 (78.001) Epoch: [50][11200/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 2.0270 (2.0365) Prec@1 43.125 (47.472) Prec@5 78.125 (78.002) Epoch: [50][11210/11272] Time 0.783 (0.787) Data 0.001 (0.002) Loss 1.9866 (2.0365) Prec@1 47.500 (47.471) Prec@5 78.750 (78.002) Epoch: [50][11220/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.9911 (2.0365) Prec@1 48.125 (47.472) Prec@5 78.750 (78.003) Epoch: [50][11230/11272] Time 0.780 (0.787) Data 0.001 (0.002) Loss 2.0732 (2.0365) Prec@1 42.500 (47.472) Prec@5 81.250 (78.002) Epoch: [50][11240/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 2.0297 (2.0366) Prec@1 43.750 (47.470) Prec@5 76.875 (78.002) Epoch: [50][11250/11272] Time 0.846 (0.787) Data 0.002 (0.002) Loss 2.2092 (2.0366) Prec@1 46.250 (47.471) Prec@5 74.375 (78.001) Epoch: [50][11260/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 1.9833 (2.0366) Prec@1 48.125 (47.471) Prec@5 78.750 (78.001) Epoch: [50][11270/11272] Time 0.727 (0.787) Data 0.000 (0.002) Loss 2.1774 (2.0366) Prec@1 46.875 (47.471) Prec@5 75.000 (78.001) Test: [0/229] Time 2.177 (2.177) Loss 1.1693 (1.1693) Prec@1 65.000 (65.000) Prec@5 94.375 (94.375) Test: [10/229] Time 0.493 (0.553) Loss 1.4478 (1.7330) Prec@1 57.500 (53.977) Prec@5 93.750 (85.625) Test: [20/229] Time 0.469 (0.469) Loss 2.0777 (1.7855) Prec@1 46.875 (52.083) Prec@5 74.375 (84.286) Test: [30/229] Time 0.324 (0.439) Loss 1.7409 (1.7012) Prec@1 51.250 (54.355) Prec@5 85.625 (85.161) Test: [40/229] Time 0.407 (0.425) Loss 0.3345 (1.6738) Prec@1 93.125 (54.924) Prec@5 96.250 (85.473) Test: [50/229] Time 0.388 (0.418) Loss 2.6441 (1.7248) Prec@1 29.375 (53.738) Prec@5 72.500 (84.142) Test: [60/229] Time 0.445 (0.415) Loss 2.2444 (1.7174) Prec@1 35.625 (53.627) Prec@5 78.750 (84.344) Test: [70/229] Time 0.289 (0.409) Loss 1.0530 (1.7173) Prec@1 71.250 (53.688) Prec@5 91.875 (84.269) Test: [80/229] Time 0.344 (0.406) Loss 2.1145 (1.7326) Prec@1 33.750 (53.187) Prec@5 85.625 (84.198) Test: [90/229] Time 0.421 (0.404) Loss 1.7178 (1.7526) Prec@1 59.375 (52.740) Prec@5 75.625 (83.963) Test: [100/229] Time 0.368 (0.401) Loss 2.4743 (1.7487) Prec@1 37.500 (53.119) Prec@5 78.125 (83.973) Test: [110/229] Time 0.409 (0.402) Loss 1.3403 (1.7294) Prec@1 60.625 (53.525) Prec@5 90.000 (84.279) Test: [120/229] Time 0.350 (0.399) Loss 2.8838 (1.7524) Prec@1 27.500 (52.898) Prec@5 70.625 (83.920) Test: [130/229] Time 0.429 (0.398) Loss 1.5552 (1.7378) Prec@1 55.625 (53.340) Prec@5 82.500 (84.003) Test: [140/229] Time 0.362 (0.397) Loss 2.1248 (1.7553) Prec@1 41.875 (52.850) Prec@5 77.500 (83.799) Test: [150/229] Time 0.355 (0.397) Loss 1.1680 (1.7685) Prec@1 73.125 (52.521) Prec@5 90.000 (83.696) Test: [160/229] Time 0.460 (0.396) Loss 1.5135 (1.7678) Prec@1 67.500 (52.399) Prec@5 89.375 (83.762) Test: [170/229] Time 0.379 (0.396) Loss 1.7767 (1.7792) Prec@1 51.875 (52.018) Prec@5 87.500 (83.651) Test: [180/229] Time 0.448 (0.396) Loss 2.3530 (1.7855) Prec@1 35.000 (51.989) Prec@5 69.375 (83.429) Test: [190/229] Time 0.337 (0.396) Loss 1.2965 (1.7740) Prec@1 63.125 (52.346) Prec@5 91.875 (83.554) Test: [200/229] Time 0.446 (0.396) Loss 1.8269 (1.7668) Prec@1 46.875 (52.351) Prec@5 80.625 (83.759) Test: [210/229] Time 0.351 (0.396) Loss 1.3529 (1.7608) Prec@1 58.750 (52.464) Prec@5 90.625 (83.922) Test: [220/229] Time 0.353 (0.396) Loss 1.7601 (1.7517) Prec@1 47.500 (52.771) Prec@5 84.375 (83.965) * Prec@1 53.063 Prec@5 84.053 Epoch: [51][0/11272] Time 3.533 (3.533) Data 2.685 (2.685) Loss 1.9824 (1.9824) Prec@1 48.125 (48.125) Prec@5 79.375 (79.375) Epoch: [51][10/11272] Time 0.723 (1.038) Data 0.002 (0.245) Loss 2.1281 (1.9367) Prec@1 50.000 (49.261) Prec@5 76.250 (80.568) Epoch: [51][20/11272] Time 0.882 (0.930) Data 0.002 (0.129) Loss 1.9392 (1.9644) Prec@1 51.250 (48.274) Prec@5 79.375 (79.345) Epoch: [51][30/11272] Time 0.882 (0.886) Data 0.003 (0.088) Loss 1.9047 (1.9802) Prec@1 53.750 (48.065) Prec@5 78.750 (78.831) Epoch: [51][40/11272] Time 0.739 (0.867) Data 0.002 (0.067) Loss 1.9179 (1.9893) Prec@1 50.625 (48.110) Prec@5 81.875 (78.491) Epoch: [51][50/11272] Time 0.880 (0.855) Data 0.003 (0.054) Loss 2.1847 (2.0088) Prec@1 46.250 (48.150) Prec@5 76.250 (78.235) Epoch: [51][60/11272] Time 0.845 (0.844) Data 0.001 (0.046) Loss 2.0311 (2.0061) Prec@1 49.375 (48.258) Prec@5 79.375 (78.453) Epoch: [51][70/11272] Time 0.735 (0.834) Data 0.001 (0.040) Loss 2.0717 (2.0018) Prec@1 48.125 (48.451) Prec@5 76.250 (78.521) Epoch: [51][80/11272] Time 0.750 (0.829) Data 0.002 (0.035) Loss 2.1053 (2.0043) Prec@1 48.125 (48.395) Prec@5 76.875 (78.495) Epoch: [51][90/11272] Time 0.839 (0.826) Data 0.001 (0.031) Loss 2.1433 (2.0007) Prec@1 46.250 (48.510) Prec@5 76.250 (78.633) Epoch: [51][100/11272] Time 0.840 (0.822) Data 0.001 (0.028) Loss 2.0770 (2.0054) Prec@1 46.875 (48.472) Prec@5 75.625 (78.459) Epoch: [51][110/11272] Time 0.724 (0.820) Data 0.001 (0.026) Loss 1.8358 (1.9987) Prec@1 48.125 (48.581) Prec@5 78.750 (78.502) Epoch: [51][120/11272] Time 0.737 (0.818) Data 0.001 (0.024) Loss 1.7853 (1.9939) Prec@1 55.000 (48.709) Prec@5 82.500 (78.605) Epoch: [51][130/11272] Time 0.831 (0.817) Data 0.001 (0.022) Loss 2.0242 (1.9940) Prec@1 47.500 (48.626) Prec@5 76.875 (78.573) Epoch: [51][140/11272] Time 0.922 (0.817) Data 0.002 (0.021) Loss 2.2363 (1.9954) Prec@1 45.625 (48.604) Prec@5 76.875 (78.564) Epoch: [51][150/11272] Time 0.728 (0.815) Data 0.002 (0.019) Loss 2.1393 (1.9997) Prec@1 48.125 (48.518) Prec@5 71.250 (78.498) Epoch: [51][160/11272] Time 0.748 (0.813) Data 0.001 (0.018) Loss 2.0652 (2.0002) Prec@1 48.125 (48.486) Prec@5 78.750 (78.498) Epoch: [51][170/11272] Time 0.841 (0.812) Data 0.001 (0.017) Loss 2.0699 (2.0042) Prec@1 43.750 (48.388) Prec@5 75.625 (78.432) Epoch: [51][180/11272] Time 0.740 (0.810) Data 0.002 (0.016) Loss 1.9528 (2.0051) Prec@1 48.750 (48.356) Prec@5 78.125 (78.422) Epoch: [51][190/11272] Time 0.723 (0.810) Data 0.002 (0.016) Loss 2.2702 (2.0052) Prec@1 42.500 (48.295) Prec@5 73.750 (78.423) Epoch: [51][200/11272] Time 0.867 (0.809) Data 0.001 (0.015) Loss 2.0659 (2.0008) Prec@1 51.875 (48.312) Prec@5 75.625 (78.476) Epoch: [51][210/11272] Time 0.861 (0.809) Data 0.002 (0.014) Loss 1.6638 (1.9995) Prec@1 58.125 (48.374) Prec@5 83.125 (78.525) Epoch: [51][220/11272] Time 0.737 (0.808) Data 0.001 (0.014) Loss 2.1416 (2.0010) Prec@1 43.750 (48.207) Prec@5 76.875 (78.538) Epoch: [51][230/11272] Time 0.715 (0.808) Data 0.001 (0.013) Loss 2.0549 (2.0031) Prec@1 49.375 (48.225) Prec@5 78.125 (78.444) Epoch: [51][240/11272] Time 0.867 (0.807) Data 0.002 (0.013) Loss 2.1750 (2.0053) Prec@1 48.750 (48.226) Prec@5 75.000 (78.413) Epoch: [51][250/11272] Time 0.860 (0.807) Data 0.002 (0.012) Loss 1.9531 (2.0071) Prec@1 50.625 (48.157) Prec@5 78.125 (78.404) Epoch: [51][260/11272] Time 0.731 (0.806) Data 0.001 (0.012) Loss 2.2772 (2.0081) Prec@1 46.875 (48.096) Prec@5 75.000 (78.408) Epoch: [51][270/11272] Time 0.724 (0.805) Data 0.001 (0.012) Loss 1.7764 (2.0064) Prec@1 54.375 (48.155) Prec@5 80.625 (78.443) Epoch: [51][280/11272] Time 0.828 (0.805) Data 0.001 (0.011) Loss 1.9936 (2.0032) Prec@1 44.375 (48.221) Prec@5 78.125 (78.534) Epoch: [51][290/11272] Time 0.838 (0.804) Data 0.001 (0.011) Loss 1.9019 (2.0034) Prec@1 50.625 (48.224) Prec@5 80.000 (78.531) Epoch: [51][300/11272] Time 0.731 (0.804) Data 0.002 (0.011) Loss 2.2154 (2.0047) Prec@1 41.250 (48.125) Prec@5 76.875 (78.528) Epoch: [51][310/11272] Time 0.803 (0.804) Data 0.001 (0.010) Loss 2.0447 (2.0073) Prec@1 48.750 (48.111) Prec@5 73.750 (78.455) Epoch: [51][320/11272] Time 0.943 (0.804) Data 0.002 (0.010) Loss 2.0162 (2.0073) Prec@1 54.375 (48.094) Prec@5 74.375 (78.479) Epoch: [51][330/11272] Time 0.730 (0.803) Data 0.001 (0.010) Loss 2.1220 (2.0081) Prec@1 44.375 (48.049) Prec@5 80.000 (78.489) Epoch: [51][340/11272] Time 0.750 (0.803) Data 0.002 (0.009) Loss 2.0009 (2.0095) Prec@1 43.750 (48.002) Prec@5 76.875 (78.482) Epoch: [51][350/11272] Time 0.830 (0.803) Data 0.001 (0.009) Loss 1.8294 (2.0093) Prec@1 53.750 (48.020) Prec@5 80.000 (78.472) Epoch: [51][360/11272] Time 0.840 (0.803) Data 0.001 (0.009) Loss 1.9210 (2.0097) Prec@1 50.625 (48.023) Prec@5 77.500 (78.457) Epoch: [51][370/11272] Time 0.710 (0.803) Data 0.002 (0.009) Loss 2.0520 (2.0088) Prec@1 46.875 (48.044) Prec@5 76.875 (78.491) Epoch: [51][380/11272] Time 0.729 (0.802) Data 0.002 (0.009) Loss 2.0591 (2.0089) Prec@1 50.625 (48.066) Prec@5 76.250 (78.463) Epoch: [51][390/11272] Time 0.837 (0.802) Data 0.001 (0.008) Loss 2.2509 (2.0082) Prec@1 41.250 (48.048) Prec@5 73.750 (78.467) Epoch: [51][400/11272] Time 0.844 (0.802) Data 0.002 (0.008) Loss 2.1055 (2.0082) Prec@1 48.125 (48.039) Prec@5 80.000 (78.471) Epoch: [51][410/11272] Time 0.733 (0.802) Data 0.001 (0.008) Loss 2.0250 (2.0081) Prec@1 46.875 (48.031) Prec@5 77.500 (78.475) Epoch: [51][420/11272] Time 0.729 (0.801) Data 0.001 (0.008) Loss 2.0872 (2.0081) Prec@1 46.250 (48.012) Prec@5 76.875 (78.462) Epoch: [51][430/11272] Time 0.832 (0.801) Data 0.001 (0.008) Loss 2.1113 (2.0075) Prec@1 42.500 (48.026) Prec@5 76.250 (78.496) Epoch: [51][440/11272] Time 0.801 (0.801) Data 0.004 (0.008) Loss 1.7093 (2.0061) Prec@1 55.625 (48.071) Prec@5 83.125 (78.502) Epoch: [51][450/11272] Time 0.755 (0.800) Data 0.002 (0.008) Loss 1.9809 (2.0069) Prec@1 51.875 (48.064) Prec@5 80.625 (78.506) Epoch: [51][460/11272] Time 0.860 (0.800) Data 0.002 (0.007) Loss 1.8311 (2.0064) Prec@1 51.250 (48.109) Prec@5 80.625 (78.522) Epoch: [51][470/11272] Time 0.842 (0.800) Data 0.001 (0.007) Loss 2.2272 (2.0077) Prec@1 44.375 (48.079) Prec@5 77.500 (78.506) Epoch: [51][480/11272] Time 0.729 (0.800) Data 0.002 (0.007) Loss 2.3027 (2.0079) Prec@1 40.000 (48.057) Prec@5 72.500 (78.482) Epoch: [51][490/11272] Time 0.747 (0.799) Data 0.001 (0.007) Loss 2.1617 (2.0068) Prec@1 44.375 (48.084) Prec@5 76.875 (78.502) Epoch: [51][500/11272] Time 0.847 (0.799) Data 0.002 (0.007) Loss 2.0308 (2.0072) Prec@1 48.750 (48.060) Prec@5 79.375 (78.486) Epoch: [51][510/11272] Time 0.822 (0.799) Data 0.001 (0.007) Loss 2.3737 (2.0072) Prec@1 41.250 (48.028) Prec@5 66.875 (78.471) Epoch: [51][520/11272] Time 0.736 (0.798) Data 0.002 (0.007) Loss 2.2461 (2.0080) Prec@1 47.500 (47.999) Prec@5 72.500 (78.451) Epoch: [51][530/11272] Time 0.743 (0.798) Data 0.001 (0.007) Loss 2.2144 (2.0080) Prec@1 46.250 (48.012) Prec@5 75.000 (78.457) Epoch: [51][540/11272] Time 0.861 (0.798) Data 0.001 (0.007) Loss 1.9357 (2.0092) Prec@1 50.625 (47.959) Prec@5 78.750 (78.414) Epoch: [51][550/11272] Time 0.825 (0.798) Data 0.001 (0.006) Loss 2.0240 (2.0076) Prec@1 49.375 (47.996) Prec@5 80.625 (78.453) Epoch: [51][560/11272] Time 0.714 (0.798) Data 0.001 (0.006) Loss 1.9904 (2.0069) Prec@1 44.375 (48.010) Prec@5 81.875 (78.470) Epoch: [51][570/11272] Time 0.846 (0.798) Data 0.001 (0.006) Loss 2.0319 (2.0062) Prec@1 52.500 (48.037) Prec@5 75.625 (78.464) Epoch: [51][580/11272] Time 0.836 (0.798) Data 0.001 (0.006) Loss 2.2037 (2.0069) Prec@1 40.000 (48.021) Prec@5 77.500 (78.456) Epoch: [51][590/11272] Time 0.761 (0.798) Data 0.001 (0.006) Loss 1.9999 (2.0070) Prec@1 41.250 (48.008) Prec@5 83.125 (78.462) Epoch: [51][600/11272] Time 0.764 (0.798) Data 0.002 (0.006) Loss 2.2240 (2.0080) Prec@1 46.250 (47.986) Prec@5 73.750 (78.454) Epoch: [51][610/11272] Time 0.863 (0.798) Data 0.001 (0.006) Loss 1.7306 (2.0085) Prec@1 57.500 (47.965) Prec@5 81.250 (78.440) Epoch: [51][620/11272] Time 0.813 (0.798) Data 0.001 (0.006) Loss 1.8728 (2.0096) Prec@1 45.625 (47.951) Prec@5 84.375 (78.425) Epoch: [51][630/11272] Time 0.730 (0.798) Data 0.001 (0.006) Loss 2.0939 (2.0100) Prec@1 45.625 (47.934) Prec@5 76.250 (78.413) Epoch: [51][640/11272] Time 0.728 (0.798) Data 0.001 (0.006) Loss 2.0774 (2.0088) Prec@1 47.500 (47.968) Prec@5 76.250 (78.447) Epoch: [51][650/11272] Time 0.893 (0.798) Data 0.001 (0.006) Loss 1.8091 (2.0086) Prec@1 50.625 (47.987) Prec@5 81.875 (78.446) Epoch: [51][660/11272] Time 0.892 (0.798) Data 0.002 (0.006) Loss 2.0510 (2.0085) Prec@1 50.000 (48.003) Prec@5 77.500 (78.440) Epoch: [51][670/11272] Time 0.731 (0.798) Data 0.001 (0.006) Loss 2.1400 (2.0081) Prec@1 45.625 (47.986) Prec@5 73.125 (78.448) Epoch: [51][680/11272] Time 0.730 (0.798) Data 0.001 (0.006) Loss 1.7151 (2.0080) Prec@1 53.125 (47.997) Prec@5 82.500 (78.455) Epoch: [51][690/11272] Time 0.824 (0.798) Data 0.001 (0.005) Loss 2.1669 (2.0087) Prec@1 43.125 (47.988) Prec@5 77.500 (78.447) Epoch: [51][700/11272] Time 0.729 (0.798) Data 0.003 (0.005) Loss 2.1711 (2.0100) Prec@1 43.750 (47.962) Prec@5 75.000 (78.443) Epoch: [51][710/11272] Time 0.722 (0.798) Data 0.001 (0.005) Loss 2.0711 (2.0111) Prec@1 48.125 (47.946) Prec@5 76.250 (78.406) Epoch: [51][720/11272] Time 0.890 (0.798) Data 0.002 (0.005) Loss 1.9103 (2.0116) Prec@1 48.125 (47.941) Prec@5 79.375 (78.401) Epoch: [51][730/11272] Time 0.878 (0.797) Data 0.001 (0.005) Loss 1.8518 (2.0120) Prec@1 51.875 (47.938) Prec@5 80.625 (78.390) Epoch: [51][740/11272] Time 0.750 (0.797) Data 0.002 (0.005) Loss 1.9699 (2.0115) Prec@1 46.875 (47.945) Prec@5 78.750 (78.397) Epoch: [51][750/11272] Time 0.726 (0.797) Data 0.001 (0.005) Loss 2.0248 (2.0118) Prec@1 49.375 (47.929) Prec@5 76.250 (78.395) Epoch: [51][760/11272] Time 0.853 (0.797) Data 0.002 (0.005) Loss 1.9745 (2.0122) Prec@1 51.250 (47.924) Prec@5 80.625 (78.402) Epoch: [51][770/11272] Time 0.826 (0.797) Data 0.001 (0.005) Loss 1.9164 (2.0116) Prec@1 50.625 (47.943) Prec@5 83.750 (78.427) Epoch: [51][780/11272] Time 0.734 (0.797) Data 0.001 (0.005) Loss 1.9904 (2.0118) Prec@1 49.375 (47.940) Prec@5 78.750 (78.415) Epoch: [51][790/11272] Time 0.728 (0.797) Data 0.001 (0.005) Loss 1.8987 (2.0114) Prec@1 50.625 (47.965) Prec@5 79.375 (78.418) Epoch: [51][800/11272] Time 0.879 (0.797) Data 0.001 (0.005) Loss 2.0649 (2.0108) Prec@1 46.250 (47.968) Prec@5 79.375 (78.452) Epoch: [51][810/11272] Time 0.863 (0.797) Data 0.002 (0.005) Loss 1.9850 (2.0103) Prec@1 46.875 (47.976) Prec@5 79.375 (78.464) Epoch: [51][820/11272] Time 0.775 (0.797) Data 0.002 (0.005) Loss 2.1789 (2.0108) Prec@1 41.875 (47.963) Prec@5 75.625 (78.456) Epoch: [51][830/11272] Time 0.822 (0.797) Data 0.002 (0.005) Loss 2.0019 (2.0099) Prec@1 50.625 (47.985) Prec@5 78.750 (78.472) Epoch: [51][840/11272] Time 0.850 (0.797) Data 0.002 (0.005) Loss 2.1025 (2.0093) Prec@1 46.250 (48.005) Prec@5 74.375 (78.473) Epoch: [51][850/11272] Time 0.727 (0.797) Data 0.001 (0.005) Loss 2.2319 (2.0106) Prec@1 46.875 (47.983) Prec@5 73.750 (78.468) Epoch: [51][860/11272] Time 0.755 (0.797) Data 0.001 (0.005) Loss 1.7210 (2.0101) Prec@1 55.625 (47.999) Prec@5 81.875 (78.472) Epoch: [51][870/11272] Time 0.839 (0.797) Data 0.001 (0.005) Loss 1.9515 (2.0102) Prec@1 48.750 (47.999) Prec@5 80.000 (78.473) Epoch: [51][880/11272] Time 0.869 (0.797) Data 0.002 (0.005) Loss 1.8178 (2.0100) Prec@1 51.250 (48.001) Prec@5 83.125 (78.469) Epoch: [51][890/11272] Time 0.716 (0.797) Data 0.001 (0.005) Loss 2.0279 (2.0106) Prec@1 48.750 (47.993) Prec@5 76.875 (78.458) Epoch: [51][900/11272] Time 0.773 (0.797) Data 0.002 (0.005) Loss 1.9905 (2.0111) Prec@1 50.000 (47.978) Prec@5 80.625 (78.446) Epoch: [51][910/11272] Time 0.831 (0.797) Data 0.001 (0.004) Loss 2.1172 (2.0114) Prec@1 45.625 (47.974) Prec@5 77.500 (78.445) Epoch: [51][920/11272] Time 0.842 (0.797) Data 0.002 (0.004) Loss 2.0277 (2.0113) Prec@1 51.875 (47.977) Prec@5 77.500 (78.432) Epoch: [51][930/11272] Time 0.732 (0.797) Data 0.001 (0.004) Loss 1.8465 (2.0118) Prec@1 50.000 (47.966) Prec@5 83.750 (78.420) Epoch: [51][940/11272] Time 0.729 (0.797) Data 0.002 (0.004) Loss 1.8402 (2.0115) Prec@1 53.125 (47.972) Prec@5 80.625 (78.417) Epoch: [51][950/11272] Time 0.895 (0.797) Data 0.002 (0.004) Loss 2.0922 (2.0117) Prec@1 48.750 (47.989) Prec@5 75.625 (78.404) Epoch: [51][960/11272] Time 0.830 (0.797) Data 0.001 (0.004) Loss 2.0318 (2.0114) Prec@1 46.250 (48.000) Prec@5 78.750 (78.409) Epoch: [51][970/11272] Time 0.736 (0.797) Data 0.002 (0.004) Loss 1.9171 (2.0123) Prec@1 46.875 (47.976) Prec@5 84.375 (78.408) Epoch: [51][980/11272] Time 0.883 (0.797) Data 0.002 (0.004) Loss 2.1818 (2.0129) Prec@1 47.500 (47.960) Prec@5 79.375 (78.406) Epoch: [51][990/11272] Time 0.821 (0.797) Data 0.001 (0.004) Loss 2.1648 (2.0128) Prec@1 43.750 (47.949) Prec@5 73.125 (78.401) Epoch: [51][1000/11272] Time 0.742 (0.797) Data 0.001 (0.004) Loss 1.9075 (2.0124) Prec@1 53.125 (47.955) Prec@5 80.625 (78.408) Epoch: [51][1010/11272] Time 0.742 (0.797) Data 0.002 (0.004) Loss 1.9304 (2.0115) Prec@1 54.375 (47.977) Prec@5 79.375 (78.427) Epoch: [51][1020/11272] Time 0.880 (0.797) Data 0.002 (0.004) Loss 2.0655 (2.0120) Prec@1 45.625 (47.960) Prec@5 77.500 (78.413) Epoch: [51][1030/11272] Time 0.828 (0.797) Data 0.001 (0.004) Loss 2.0230 (2.0117) Prec@1 49.375 (47.972) Prec@5 79.375 (78.418) Epoch: [51][1040/11272] Time 0.743 (0.797) Data 0.001 (0.004) Loss 2.0193 (2.0108) Prec@1 46.875 (48.004) Prec@5 79.375 (78.429) Epoch: [51][1050/11272] Time 0.741 (0.797) Data 0.001 (0.004) Loss 1.9853 (2.0106) Prec@1 48.750 (47.998) Prec@5 78.125 (78.435) Epoch: [51][1060/11272] Time 0.851 (0.797) Data 0.001 (0.004) Loss 1.6507 (2.0100) Prec@1 56.250 (48.012) Prec@5 83.750 (78.442) Epoch: [51][1070/11272] Time 0.822 (0.797) Data 0.001 (0.004) Loss 1.9390 (2.0098) Prec@1 56.250 (48.021) Prec@5 76.875 (78.437) Epoch: [51][1080/11272] Time 0.749 (0.797) Data 0.001 (0.004) Loss 1.8997 (2.0097) Prec@1 45.625 (48.022) Prec@5 80.625 (78.445) Epoch: [51][1090/11272] Time 0.771 (0.797) Data 0.002 (0.004) Loss 1.8421 (2.0097) Prec@1 53.750 (48.021) Prec@5 79.375 (78.445) Epoch: [51][1100/11272] Time 0.835 (0.797) Data 0.001 (0.004) Loss 2.0926 (2.0103) Prec@1 45.000 (48.007) Prec@5 76.875 (78.433) Epoch: [51][1110/11272] Time 0.718 (0.796) Data 0.001 (0.004) Loss 1.9904 (2.0100) Prec@1 46.875 (48.005) Prec@5 80.625 (78.428) Epoch: [51][1120/11272] Time 0.744 (0.796) Data 0.002 (0.004) Loss 1.9354 (2.0095) Prec@1 47.500 (48.015) Prec@5 79.375 (78.442) Epoch: [51][1130/11272] Time 0.869 (0.796) Data 0.002 (0.004) Loss 1.8201 (2.0093) Prec@1 51.250 (48.026) Prec@5 80.000 (78.448) Epoch: [51][1140/11272] Time 0.841 (0.797) Data 0.001 (0.004) Loss 2.1316 (2.0098) Prec@1 46.250 (48.012) Prec@5 74.375 (78.442) Epoch: [51][1150/11272] Time 0.728 (0.796) Data 0.002 (0.004) Loss 2.0161 (2.0096) Prec@1 46.875 (48.022) Prec@5 77.500 (78.443) Epoch: [51][1160/11272] Time 0.729 (0.796) Data 0.002 (0.004) Loss 1.9888 (2.0093) Prec@1 47.500 (48.042) Prec@5 77.500 (78.446) Epoch: [51][1170/11272] Time 0.832 (0.796) Data 0.001 (0.004) Loss 1.9083 (2.0092) Prec@1 51.875 (48.052) Prec@5 79.375 (78.440) Epoch: [51][1180/11272] Time 0.858 (0.796) Data 0.002 (0.004) Loss 2.0377 (2.0097) Prec@1 48.750 (48.044) Prec@5 78.125 (78.442) Epoch: [51][1190/11272] Time 0.738 (0.796) Data 0.002 (0.004) Loss 1.8985 (2.0096) Prec@1 51.250 (48.051) Prec@5 83.750 (78.441) Epoch: [51][1200/11272] Time 0.743 (0.796) Data 0.001 (0.004) Loss 2.1396 (2.0102) Prec@1 40.000 (48.033) Prec@5 76.250 (78.434) Epoch: [51][1210/11272] Time 0.929 (0.796) Data 0.002 (0.004) Loss 2.1084 (2.0103) Prec@1 45.000 (48.037) Prec@5 75.625 (78.431) Epoch: [51][1220/11272] Time 0.847 (0.796) Data 0.002 (0.004) Loss 1.9377 (2.0102) Prec@1 46.875 (48.026) Prec@5 80.625 (78.435) Epoch: [51][1230/11272] Time 0.722 (0.796) Data 0.001 (0.004) Loss 2.1229 (2.0096) Prec@1 42.500 (48.049) Prec@5 76.875 (78.443) Epoch: [51][1240/11272] Time 0.820 (0.796) Data 0.001 (0.004) Loss 1.9292 (2.0095) Prec@1 46.875 (48.047) Prec@5 81.875 (78.444) Epoch: [51][1250/11272] Time 0.846 (0.796) Data 0.001 (0.004) Loss 2.3275 (2.0098) Prec@1 41.250 (48.042) Prec@5 72.500 (78.433) Epoch: [51][1260/11272] Time 0.799 (0.796) Data 0.001 (0.004) Loss 2.0560 (2.0103) Prec@1 44.375 (48.030) Prec@5 74.375 (78.429) Epoch: [51][1270/11272] Time 0.719 (0.796) Data 0.001 (0.004) Loss 1.8530 (2.0105) Prec@1 47.500 (48.017) Prec@5 83.750 (78.431) Epoch: [51][1280/11272] Time 0.824 (0.796) Data 0.001 (0.004) Loss 2.0042 (2.0106) Prec@1 49.375 (48.012) Prec@5 75.000 (78.435) Epoch: [51][1290/11272] Time 0.872 (0.796) Data 0.002 (0.004) Loss 2.0348 (2.0104) Prec@1 45.000 (48.024) Prec@5 78.750 (78.437) Epoch: [51][1300/11272] Time 0.730 (0.796) Data 0.002 (0.004) Loss 2.4058 (2.0107) Prec@1 43.125 (48.012) Prec@5 71.875 (78.436) Epoch: [51][1310/11272] Time 0.755 (0.796) Data 0.001 (0.004) Loss 1.9629 (2.0107) Prec@1 51.875 (48.024) Prec@5 80.000 (78.433) Epoch: [51][1320/11272] Time 0.843 (0.796) Data 0.001 (0.004) Loss 1.8599 (2.0107) Prec@1 53.125 (48.028) Prec@5 78.750 (78.431) Epoch: [51][1330/11272] Time 0.811 (0.796) Data 0.002 (0.004) Loss 2.1884 (2.0104) Prec@1 48.750 (48.041) Prec@5 73.750 (78.441) Epoch: [51][1340/11272] Time 0.741 (0.796) Data 0.002 (0.004) Loss 2.0341 (2.0105) Prec@1 48.750 (48.035) Prec@5 75.625 (78.434) Epoch: [51][1350/11272] Time 0.729 (0.796) Data 0.001 (0.004) Loss 2.0444 (2.0110) Prec@1 45.625 (48.013) Prec@5 73.750 (78.427) Epoch: [51][1360/11272] Time 0.844 (0.796) Data 0.002 (0.004) Loss 1.9844 (2.0111) Prec@1 47.500 (48.019) Prec@5 78.750 (78.422) Epoch: [51][1370/11272] Time 0.729 (0.796) Data 0.003 (0.003) Loss 2.2567 (2.0120) Prec@1 43.125 (48.010) Prec@5 72.500 (78.403) Epoch: [51][1380/11272] Time 0.724 (0.796) Data 0.001 (0.003) Loss 1.8885 (2.0124) Prec@1 49.375 (48.004) Prec@5 75.625 (78.389) Epoch: [51][1390/11272] Time 0.815 (0.796) Data 0.002 (0.003) Loss 1.9694 (2.0121) Prec@1 48.750 (48.016) Prec@5 79.375 (78.402) Epoch: [51][1400/11272] Time 0.865 (0.796) Data 0.002 (0.003) Loss 1.8292 (2.0122) Prec@1 54.375 (48.016) Prec@5 83.125 (78.401) Epoch: [51][1410/11272] Time 0.732 (0.796) Data 0.001 (0.003) Loss 1.9365 (2.0122) Prec@1 48.750 (48.017) Prec@5 80.000 (78.399) Epoch: [51][1420/11272] Time 0.743 (0.796) Data 0.002 (0.003) Loss 1.9345 (2.0123) Prec@1 51.875 (48.012) Prec@5 78.750 (78.397) Epoch: [51][1430/11272] Time 0.843 (0.796) Data 0.001 (0.003) Loss 2.3671 (2.0125) Prec@1 44.375 (48.018) Prec@5 70.625 (78.398) Epoch: [51][1440/11272] Time 0.906 (0.796) Data 0.002 (0.003) Loss 1.9448 (2.0125) Prec@1 49.375 (48.008) Prec@5 82.500 (78.399) Epoch: [51][1450/11272] Time 0.745 (0.796) Data 0.001 (0.003) Loss 2.0121 (2.0127) Prec@1 46.875 (48.011) Prec@5 77.500 (78.385) Epoch: [51][1460/11272] Time 0.725 (0.796) Data 0.001 (0.003) Loss 1.9227 (2.0125) Prec@1 53.125 (48.017) Prec@5 77.500 (78.383) Epoch: [51][1470/11272] Time 0.848 (0.796) Data 0.002 (0.003) Loss 2.1341 (2.0128) Prec@1 46.250 (48.008) Prec@5 78.125 (78.375) Epoch: [51][1480/11272] Time 0.826 (0.796) Data 0.001 (0.003) Loss 2.0710 (2.0132) Prec@1 44.375 (47.998) Prec@5 75.625 (78.365) Epoch: [51][1490/11272] Time 0.727 (0.796) Data 0.001 (0.003) Loss 1.9602 (2.0131) Prec@1 46.250 (47.994) Prec@5 80.625 (78.372) Epoch: [51][1500/11272] Time 0.820 (0.796) Data 0.001 (0.003) Loss 1.6717 (2.0127) Prec@1 56.250 (47.994) Prec@5 84.375 (78.376) Epoch: [51][1510/11272] Time 0.874 (0.796) Data 0.002 (0.003) Loss 2.2463 (2.0127) Prec@1 46.875 (48.000) Prec@5 75.625 (78.367) Epoch: [51][1520/11272] Time 0.772 (0.796) Data 0.002 (0.003) Loss 1.8867 (2.0124) Prec@1 53.750 (47.998) Prec@5 80.000 (78.372) Epoch: [51][1530/11272] Time 0.724 (0.796) Data 0.001 (0.003) Loss 2.2207 (2.0128) Prec@1 43.125 (47.996) Prec@5 75.000 (78.373) Epoch: [51][1540/11272] Time 0.842 (0.796) Data 0.001 (0.003) Loss 1.8822 (2.0126) Prec@1 50.000 (48.003) Prec@5 81.875 (78.383) Epoch: [51][1550/11272] Time 0.818 (0.796) Data 0.001 (0.003) Loss 1.9030 (2.0124) Prec@1 48.750 (48.004) Prec@5 78.750 (78.386) Epoch: [51][1560/11272] Time 0.763 (0.796) Data 0.002 (0.003) Loss 1.6597 (2.0119) Prec@1 53.125 (48.013) Prec@5 84.375 (78.394) Epoch: [51][1570/11272] Time 0.745 (0.796) Data 0.004 (0.003) Loss 1.8966 (2.0120) Prec@1 49.375 (48.012) Prec@5 80.000 (78.394) Epoch: [51][1580/11272] Time 0.847 (0.796) Data 0.002 (0.003) Loss 2.2726 (2.0122) Prec@1 48.125 (48.011) Prec@5 74.375 (78.390) Epoch: [51][1590/11272] Time 0.822 (0.796) Data 0.001 (0.003) Loss 1.9832 (2.0121) Prec@1 50.625 (48.012) Prec@5 80.000 (78.396) Epoch: [51][1600/11272] Time 0.800 (0.796) Data 0.002 (0.003) Loss 2.1214 (2.0120) Prec@1 45.625 (48.007) Prec@5 74.375 (78.403) Epoch: [51][1610/11272] Time 0.768 (0.796) Data 0.002 (0.003) Loss 1.8020 (2.0117) Prec@1 50.000 (48.022) Prec@5 83.750 (78.410) Epoch: [51][1620/11272] Time 0.901 (0.796) Data 0.002 (0.003) Loss 2.0703 (2.0114) Prec@1 45.000 (48.023) Prec@5 76.250 (78.408) Epoch: [51][1630/11272] Time 0.734 (0.796) Data 0.003 (0.003) Loss 1.7200 (2.0116) Prec@1 55.625 (48.023) Prec@5 83.750 (78.408) Epoch: [51][1640/11272] Time 0.727 (0.796) Data 0.001 (0.003) Loss 1.9647 (2.0111) Prec@1 51.875 (48.027) Prec@5 82.500 (78.418) Epoch: [51][1650/11272] Time 0.836 (0.796) Data 0.001 (0.003) Loss 2.1367 (2.0110) Prec@1 42.500 (48.031) Prec@5 76.875 (78.423) Epoch: [51][1660/11272] Time 0.885 (0.796) Data 0.001 (0.003) Loss 2.0756 (2.0113) Prec@1 48.125 (48.023) Prec@5 80.000 (78.422) Epoch: [51][1670/11272] Time 0.718 (0.796) Data 0.001 (0.003) Loss 1.9027 (2.0108) Prec@1 50.000 (48.034) Prec@5 78.125 (78.426) Epoch: [51][1680/11272] Time 0.738 (0.796) Data 0.001 (0.003) Loss 1.7029 (2.0107) Prec@1 55.625 (48.035) Prec@5 85.625 (78.427) Epoch: [51][1690/11272] Time 0.825 (0.796) Data 0.001 (0.003) Loss 1.9105 (2.0110) Prec@1 50.625 (48.019) Prec@5 80.625 (78.422) Epoch: [51][1700/11272] Time 0.830 (0.796) Data 0.002 (0.003) Loss 1.9723 (2.0109) Prec@1 51.250 (48.021) Prec@5 80.000 (78.422) Epoch: [51][1710/11272] Time 0.725 (0.796) Data 0.001 (0.003) Loss 2.2586 (2.0111) Prec@1 42.500 (48.021) Prec@5 74.375 (78.418) Epoch: [51][1720/11272] Time 0.757 (0.796) Data 0.002 (0.003) Loss 1.7134 (2.0106) Prec@1 53.750 (48.027) Prec@5 81.875 (78.428) Epoch: [51][1730/11272] Time 0.828 (0.796) Data 0.001 (0.003) Loss 2.2020 (2.0112) Prec@1 41.875 (48.015) Prec@5 74.375 (78.420) Epoch: [51][1740/11272] Time 0.837 (0.796) Data 0.002 (0.003) Loss 1.9909 (2.0112) Prec@1 47.500 (48.005) Prec@5 81.250 (78.416) Epoch: [51][1750/11272] Time 0.723 (0.796) Data 0.001 (0.003) Loss 2.0950 (2.0115) Prec@1 44.375 (48.008) Prec@5 75.625 (78.408) Epoch: [51][1760/11272] Time 0.839 (0.796) Data 0.001 (0.003) Loss 1.6670 (2.0114) Prec@1 55.000 (48.001) Prec@5 85.000 (78.411) Epoch: [51][1770/11272] Time 0.856 (0.796) Data 0.002 (0.003) Loss 2.0930 (2.0115) Prec@1 50.625 (48.004) Prec@5 77.500 (78.413) Epoch: [51][1780/11272] Time 0.804 (0.796) Data 0.002 (0.003) Loss 2.1024 (2.0116) Prec@1 46.875 (48.002) Prec@5 73.750 (78.408) Epoch: [51][1790/11272] Time 0.745 (0.796) Data 0.002 (0.003) Loss 1.7828 (2.0114) Prec@1 50.000 (48.000) Prec@5 81.250 (78.412) Epoch: [51][1800/11272] Time 0.836 (0.796) Data 0.002 (0.003) Loss 1.7885 (2.0114) Prec@1 55.000 (47.997) Prec@5 84.375 (78.415) Epoch: [51][1810/11272] Time 0.874 (0.796) Data 0.004 (0.003) Loss 2.2772 (2.0119) Prec@1 45.000 (47.987) Prec@5 73.125 (78.401) Epoch: [51][1820/11272] Time 0.746 (0.796) Data 0.002 (0.003) Loss 2.0908 (2.0120) Prec@1 41.875 (47.986) Prec@5 75.625 (78.404) Epoch: [51][1830/11272] Time 0.733 (0.796) Data 0.001 (0.003) Loss 1.7995 (2.0122) Prec@1 46.875 (47.981) Prec@5 90.000 (78.406) Epoch: [51][1840/11272] Time 0.851 (0.796) Data 0.001 (0.003) Loss 2.0900 (2.0122) Prec@1 42.500 (47.978) Prec@5 78.125 (78.411) Epoch: [51][1850/11272] Time 0.816 (0.796) Data 0.001 (0.003) Loss 1.9004 (2.0119) Prec@1 49.375 (47.985) Prec@5 87.500 (78.415) Epoch: [51][1860/11272] Time 0.749 (0.796) Data 0.002 (0.003) Loss 1.7917 (2.0122) Prec@1 56.250 (47.980) Prec@5 83.125 (78.411) Epoch: [51][1870/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 2.0801 (2.0120) Prec@1 46.875 (47.977) Prec@5 77.500 (78.417) Epoch: [51][1880/11272] Time 0.835 (0.796) Data 0.001 (0.003) Loss 1.8135 (2.0121) Prec@1 56.250 (47.982) Prec@5 84.375 (78.420) Epoch: [51][1890/11272] Time 0.801 (0.796) Data 0.001 (0.003) Loss 1.7743 (2.0122) Prec@1 47.500 (47.982) Prec@5 82.500 (78.417) Epoch: [51][1900/11272] Time 0.731 (0.796) Data 0.001 (0.003) Loss 2.1492 (2.0123) Prec@1 45.000 (47.979) Prec@5 75.000 (78.416) Epoch: [51][1910/11272] Time 0.899 (0.796) Data 0.002 (0.003) Loss 1.9603 (2.0123) Prec@1 46.875 (47.988) Prec@5 81.875 (78.415) Epoch: [51][1920/11272] Time 0.847 (0.796) Data 0.001 (0.003) Loss 2.1320 (2.0124) Prec@1 46.875 (47.981) Prec@5 80.000 (78.413) Epoch: [51][1930/11272] Time 0.754 (0.796) Data 0.001 (0.003) Loss 2.1102 (2.0120) Prec@1 46.875 (47.994) Prec@5 80.000 (78.415) Epoch: [51][1940/11272] Time 0.728 (0.796) Data 0.001 (0.003) Loss 1.9689 (2.0121) Prec@1 47.500 (47.993) Prec@5 80.000 (78.414) Epoch: [51][1950/11272] Time 0.822 (0.796) Data 0.001 (0.003) Loss 2.1116 (2.0120) Prec@1 47.500 (47.996) Prec@5 73.750 (78.413) Epoch: [51][1960/11272] Time 0.863 (0.796) Data 0.002 (0.003) Loss 1.8163 (2.0118) Prec@1 51.875 (47.997) Prec@5 81.250 (78.421) Epoch: [51][1970/11272] Time 0.733 (0.796) Data 0.001 (0.003) Loss 2.2275 (2.0118) Prec@1 39.375 (47.990) Prec@5 76.875 (78.423) Epoch: [51][1980/11272] Time 0.729 (0.796) Data 0.001 (0.003) Loss 2.1947 (2.0118) Prec@1 47.500 (47.996) Prec@5 75.625 (78.420) Epoch: [51][1990/11272] Time 0.818 (0.796) Data 0.001 (0.003) Loss 2.1094 (2.0122) Prec@1 51.250 (47.990) Prec@5 72.500 (78.405) Epoch: [51][2000/11272] Time 0.844 (0.796) Data 0.001 (0.003) Loss 2.0604 (2.0121) Prec@1 41.250 (47.989) Prec@5 77.500 (78.413) Epoch: [51][2010/11272] Time 0.720 (0.796) Data 0.001 (0.003) Loss 2.2252 (2.0123) Prec@1 36.875 (47.983) Prec@5 76.875 (78.406) Epoch: [51][2020/11272] Time 0.855 (0.796) Data 0.001 (0.003) Loss 1.9746 (2.0121) Prec@1 47.500 (47.994) Prec@5 80.000 (78.409) Epoch: [51][2030/11272] Time 0.838 (0.796) Data 0.001 (0.003) Loss 1.7380 (2.0124) Prec@1 53.125 (47.996) Prec@5 87.500 (78.407) Epoch: [51][2040/11272] Time 0.732 (0.796) Data 0.001 (0.003) Loss 2.1529 (2.0125) Prec@1 47.500 (47.992) Prec@5 76.250 (78.407) Epoch: [51][2050/11272] Time 0.748 (0.796) Data 0.001 (0.003) Loss 2.0735 (2.0127) Prec@1 46.250 (47.987) Prec@5 76.875 (78.410) Epoch: [51][2060/11272] Time 0.900 (0.796) Data 0.001 (0.003) Loss 1.9224 (2.0131) Prec@1 51.250 (47.978) Prec@5 79.375 (78.399) Epoch: [51][2070/11272] Time 0.847 (0.796) Data 0.001 (0.003) Loss 2.2249 (2.0135) Prec@1 41.875 (47.971) Prec@5 77.500 (78.391) Epoch: [51][2080/11272] Time 0.731 (0.796) Data 0.001 (0.003) Loss 1.9190 (2.0135) Prec@1 49.375 (47.970) Prec@5 80.000 (78.396) Epoch: [51][2090/11272] Time 0.703 (0.796) Data 0.001 (0.003) Loss 2.2313 (2.0136) Prec@1 39.375 (47.956) Prec@5 75.625 (78.395) Epoch: [51][2100/11272] Time 0.882 (0.796) Data 0.002 (0.003) Loss 2.0087 (2.0138) Prec@1 46.875 (47.959) Prec@5 78.125 (78.391) Epoch: [51][2110/11272] Time 0.829 (0.796) Data 0.002 (0.003) Loss 1.9914 (2.0139) Prec@1 50.000 (47.960) Prec@5 79.375 (78.389) Epoch: [51][2120/11272] Time 0.731 (0.796) Data 0.002 (0.003) Loss 1.9018 (2.0136) Prec@1 48.750 (47.964) Prec@5 80.000 (78.390) Epoch: [51][2130/11272] Time 0.741 (0.796) Data 0.002 (0.003) Loss 1.8802 (2.0131) Prec@1 50.625 (47.969) Prec@5 83.125 (78.397) Epoch: [51][2140/11272] Time 0.881 (0.796) Data 0.002 (0.003) Loss 1.9135 (2.0135) Prec@1 51.250 (47.964) Prec@5 81.875 (78.391) Epoch: [51][2150/11272] Time 0.841 (0.796) Data 0.001 (0.003) Loss 1.9597 (2.0134) Prec@1 50.000 (47.969) Prec@5 77.500 (78.389) Epoch: [51][2160/11272] Time 0.742 (0.796) Data 0.002 (0.003) Loss 2.0651 (2.0136) Prec@1 48.125 (47.962) Prec@5 75.625 (78.382) Epoch: [51][2170/11272] Time 0.817 (0.796) Data 0.001 (0.003) Loss 1.9943 (2.0138) Prec@1 52.500 (47.967) Prec@5 78.750 (78.377) Epoch: [51][2180/11272] Time 0.882 (0.796) Data 0.001 (0.003) Loss 2.1765 (2.0137) Prec@1 43.750 (47.969) Prec@5 74.375 (78.377) Epoch: [51][2190/11272] Time 0.716 (0.796) Data 0.001 (0.003) Loss 1.7773 (2.0137) Prec@1 53.750 (47.974) Prec@5 84.375 (78.383) Epoch: [51][2200/11272] Time 0.742 (0.796) Data 0.002 (0.003) Loss 2.0997 (2.0141) Prec@1 46.250 (47.966) Prec@5 79.375 (78.380) Epoch: [51][2210/11272] Time 0.801 (0.796) Data 0.001 (0.003) Loss 2.1282 (2.0141) Prec@1 46.250 (47.962) Prec@5 75.000 (78.377) Epoch: [51][2220/11272] Time 0.829 (0.796) Data 0.002 (0.003) Loss 1.9364 (2.0144) Prec@1 48.125 (47.950) Prec@5 81.250 (78.375) Epoch: [51][2230/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 1.9383 (2.0144) Prec@1 51.875 (47.957) Prec@5 78.125 (78.379) Epoch: [51][2240/11272] Time 0.727 (0.796) Data 0.001 (0.003) Loss 2.1008 (2.0147) Prec@1 42.500 (47.948) Prec@5 76.250 (78.371) Epoch: [51][2250/11272] Time 0.818 (0.796) Data 0.001 (0.003) Loss 2.2117 (2.0145) Prec@1 42.500 (47.950) Prec@5 70.625 (78.373) Epoch: [51][2260/11272] Time 0.860 (0.796) Data 0.001 (0.003) Loss 1.9529 (2.0145) Prec@1 50.625 (47.946) Prec@5 75.000 (78.370) Epoch: [51][2270/11272] Time 0.723 (0.796) Data 0.001 (0.003) Loss 2.0139 (2.0145) Prec@1 45.625 (47.940) Prec@5 79.375 (78.369) Epoch: [51][2280/11272] Time 0.758 (0.796) Data 0.002 (0.003) Loss 2.1305 (2.0145) Prec@1 50.625 (47.943) Prec@5 73.125 (78.365) Epoch: [51][2290/11272] Time 0.892 (0.796) Data 0.002 (0.003) Loss 1.9067 (2.0142) Prec@1 53.125 (47.946) Prec@5 81.250 (78.371) Epoch: [51][2300/11272] Time 0.736 (0.796) Data 0.003 (0.003) Loss 2.2319 (2.0145) Prec@1 44.375 (47.935) Prec@5 75.000 (78.364) Epoch: [51][2310/11272] Time 0.724 (0.796) Data 0.001 (0.003) Loss 1.7726 (2.0145) Prec@1 59.375 (47.939) Prec@5 80.000 (78.360) Epoch: [51][2320/11272] Time 0.862 (0.796) Data 0.002 (0.003) Loss 1.7331 (2.0144) Prec@1 50.625 (47.938) Prec@5 87.500 (78.368) Epoch: [51][2330/11272] Time 0.839 (0.796) Data 0.002 (0.003) Loss 1.9827 (2.0145) Prec@1 51.875 (47.938) Prec@5 79.375 (78.369) Epoch: [51][2340/11272] Time 0.731 (0.796) Data 0.002 (0.003) Loss 2.0961 (2.0147) Prec@1 45.625 (47.935) Prec@5 73.750 (78.362) Epoch: [51][2350/11272] Time 0.739 (0.796) Data 0.002 (0.003) Loss 2.1504 (2.0147) Prec@1 48.125 (47.933) Prec@5 76.250 (78.363) Epoch: [51][2360/11272] Time 0.843 (0.797) Data 0.002 (0.003) Loss 1.9459 (2.0144) Prec@1 51.250 (47.943) Prec@5 79.375 (78.367) Epoch: [51][2370/11272] Time 0.827 (0.797) Data 0.002 (0.003) Loss 1.8776 (2.0142) Prec@1 46.250 (47.947) Prec@5 84.375 (78.369) Epoch: [51][2380/11272] Time 0.762 (0.797) Data 0.002 (0.003) Loss 2.0389 (2.0144) Prec@1 50.000 (47.944) Prec@5 75.000 (78.363) Epoch: [51][2390/11272] Time 0.756 (0.797) Data 0.001 (0.003) Loss 1.6317 (2.0143) Prec@1 53.125 (47.952) Prec@5 86.875 (78.367) Epoch: [51][2400/11272] Time 0.851 (0.797) Data 0.001 (0.003) Loss 1.7673 (2.0144) Prec@1 50.000 (47.944) Prec@5 82.500 (78.363) Epoch: [51][2410/11272] Time 0.852 (0.797) Data 0.001 (0.003) Loss 2.1880 (2.0146) Prec@1 43.125 (47.940) Prec@5 75.000 (78.359) Epoch: [51][2420/11272] Time 0.744 (0.797) Data 0.002 (0.003) Loss 2.0576 (2.0146) Prec@1 47.500 (47.938) Prec@5 80.000 (78.362) Epoch: [51][2430/11272] Time 0.883 (0.797) Data 0.002 (0.003) Loss 2.0379 (2.0146) Prec@1 44.375 (47.935) Prec@5 76.250 (78.360) Epoch: [51][2440/11272] Time 0.844 (0.797) Data 0.001 (0.003) Loss 1.8096 (2.0145) Prec@1 53.125 (47.936) Prec@5 81.875 (78.365) Epoch: [51][2450/11272] Time 0.737 (0.797) Data 0.001 (0.003) Loss 1.9071 (2.0146) Prec@1 48.125 (47.933) Prec@5 78.750 (78.364) Epoch: [51][2460/11272] Time 0.740 (0.797) Data 0.002 (0.003) Loss 1.8678 (2.0147) Prec@1 52.500 (47.930) Prec@5 80.625 (78.364) Epoch: [51][2470/11272] Time 0.908 (0.797) Data 0.002 (0.003) Loss 1.9163 (2.0148) Prec@1 50.000 (47.932) Prec@5 81.875 (78.364) Epoch: [51][2480/11272] Time 0.869 (0.797) Data 0.001 (0.003) Loss 2.1149 (2.0149) Prec@1 43.750 (47.933) Prec@5 81.250 (78.365) Epoch: [51][2490/11272] Time 0.746 (0.797) Data 0.002 (0.003) Loss 2.1436 (2.0150) Prec@1 50.000 (47.937) Prec@5 77.500 (78.366) Epoch: [51][2500/11272] Time 0.742 (0.797) Data 0.002 (0.003) Loss 1.9350 (2.0149) Prec@1 45.000 (47.938) Prec@5 82.500 (78.370) Epoch: [51][2510/11272] Time 0.867 (0.797) Data 0.001 (0.003) Loss 1.8664 (2.0151) Prec@1 55.625 (47.939) Prec@5 79.375 (78.365) Epoch: [51][2520/11272] Time 0.819 (0.797) Data 0.001 (0.003) Loss 2.0425 (2.0150) Prec@1 49.375 (47.945) Prec@5 78.125 (78.371) Epoch: [51][2530/11272] Time 0.773 (0.797) Data 0.002 (0.003) Loss 2.2274 (2.0153) Prec@1 44.375 (47.937) Prec@5 73.750 (78.365) Epoch: [51][2540/11272] Time 0.735 (0.797) Data 0.002 (0.003) Loss 2.1522 (2.0157) Prec@1 44.375 (47.929) Prec@5 75.625 (78.357) Epoch: [51][2550/11272] Time 0.821 (0.797) Data 0.001 (0.003) Loss 2.1674 (2.0159) Prec@1 47.500 (47.930) Prec@5 70.000 (78.352) Epoch: [51][2560/11272] Time 0.769 (0.797) Data 0.003 (0.003) Loss 1.8093 (2.0160) Prec@1 50.625 (47.925) Prec@5 81.250 (78.351) Epoch: [51][2570/11272] Time 0.742 (0.797) Data 0.001 (0.003) Loss 2.2757 (2.0162) Prec@1 45.000 (47.925) Prec@5 73.750 (78.350) Epoch: [51][2580/11272] Time 0.862 (0.797) Data 0.002 (0.003) Loss 2.1366 (2.0163) Prec@1 41.250 (47.923) Prec@5 76.250 (78.348) Epoch: [51][2590/11272] Time 0.830 (0.797) Data 0.002 (0.003) Loss 1.6616 (2.0162) Prec@1 55.000 (47.927) Prec@5 85.000 (78.347) Epoch: [51][2600/11272] Time 0.745 (0.797) Data 0.002 (0.003) Loss 2.0947 (2.0161) Prec@1 50.625 (47.930) Prec@5 78.125 (78.350) Epoch: [51][2610/11272] Time 0.731 (0.797) Data 0.002 (0.003) Loss 2.0352 (2.0160) Prec@1 51.250 (47.940) Prec@5 75.625 (78.350) Epoch: [51][2620/11272] Time 0.860 (0.797) Data 0.001 (0.003) Loss 2.0930 (2.0158) Prec@1 43.125 (47.937) Prec@5 80.000 (78.355) Epoch: [51][2630/11272] Time 0.817 (0.797) Data 0.001 (0.003) Loss 2.0045 (2.0161) Prec@1 56.875 (47.934) Prec@5 80.000 (78.353) Epoch: [51][2640/11272] Time 0.732 (0.798) Data 0.002 (0.003) Loss 2.0409 (2.0162) Prec@1 45.000 (47.930) Prec@5 79.375 (78.353) Epoch: [51][2650/11272] Time 0.764 (0.798) Data 0.001 (0.003) Loss 1.8007 (2.0160) Prec@1 53.125 (47.936) Prec@5 81.875 (78.360) Epoch: [51][2660/11272] Time 0.865 (0.798) Data 0.001 (0.003) Loss 2.0572 (2.0161) Prec@1 46.875 (47.933) Prec@5 80.000 (78.358) Epoch: [51][2670/11272] Time 0.838 (0.798) Data 0.001 (0.003) Loss 1.9738 (2.0159) Prec@1 46.875 (47.937) Prec@5 79.375 (78.361) Epoch: [51][2680/11272] Time 0.730 (0.798) Data 0.002 (0.003) Loss 2.2023 (2.0162) Prec@1 49.375 (47.931) Prec@5 73.125 (78.356) Epoch: [51][2690/11272] Time 0.880 (0.798) Data 0.001 (0.003) Loss 2.0989 (2.0164) Prec@1 46.875 (47.928) Prec@5 75.625 (78.352) Epoch: [51][2700/11272] Time 0.901 (0.798) Data 0.002 (0.003) Loss 1.9416 (2.0164) Prec@1 47.500 (47.931) Prec@5 80.625 (78.352) Epoch: [51][2710/11272] Time 0.735 (0.798) Data 0.002 (0.003) Loss 1.8684 (2.0162) Prec@1 56.250 (47.941) Prec@5 78.750 (78.358) Epoch: [51][2720/11272] Time 0.778 (0.798) Data 0.001 (0.003) Loss 2.2656 (2.0167) Prec@1 43.750 (47.925) Prec@5 75.000 (78.351) Epoch: [51][2730/11272] Time 0.871 (0.798) Data 0.001 (0.003) Loss 2.0431 (2.0166) Prec@1 48.750 (47.927) Prec@5 78.750 (78.351) Epoch: [51][2740/11272] Time 0.854 (0.798) Data 0.002 (0.003) Loss 1.9250 (2.0165) Prec@1 51.875 (47.922) Prec@5 80.625 (78.356) Epoch: [51][2750/11272] Time 0.738 (0.798) Data 0.001 (0.003) Loss 2.0536 (2.0166) Prec@1 48.750 (47.919) Prec@5 78.750 (78.354) Epoch: [51][2760/11272] Time 0.748 (0.798) Data 0.001 (0.003) Loss 1.9357 (2.0168) Prec@1 46.875 (47.918) Prec@5 82.500 (78.356) Epoch: [51][2770/11272] Time 0.839 (0.798) Data 0.001 (0.003) Loss 2.0755 (2.0170) Prec@1 45.625 (47.917) Prec@5 79.375 (78.350) Epoch: [51][2780/11272] Time 0.839 (0.798) Data 0.001 (0.003) Loss 1.9863 (2.0170) Prec@1 50.625 (47.925) Prec@5 78.750 (78.347) Epoch: [51][2790/11272] Time 0.715 (0.798) Data 0.001 (0.003) Loss 2.1246 (2.0169) Prec@1 43.125 (47.922) Prec@5 80.000 (78.350) Epoch: [51][2800/11272] Time 0.732 (0.798) Data 0.002 (0.003) Loss 1.9535 (2.0167) Prec@1 46.250 (47.929) Prec@5 79.375 (78.356) Epoch: [51][2810/11272] Time 0.836 (0.798) Data 0.001 (0.003) Loss 2.1369 (2.0167) Prec@1 48.125 (47.936) Prec@5 77.500 (78.355) Epoch: [51][2820/11272] Time 0.846 (0.798) Data 0.002 (0.003) Loss 1.8923 (2.0164) Prec@1 49.375 (47.939) Prec@5 81.250 (78.364) Epoch: [51][2830/11272] Time 0.730 (0.798) Data 0.001 (0.003) Loss 2.2267 (2.0167) Prec@1 46.875 (47.937) Prec@5 75.625 (78.361) Epoch: [51][2840/11272] Time 0.919 (0.798) Data 0.002 (0.003) Loss 2.1039 (2.0168) Prec@1 45.625 (47.935) Prec@5 76.875 (78.358) Epoch: [51][2850/11272] Time 0.853 (0.798) Data 0.002 (0.003) Loss 2.1513 (2.0172) Prec@1 48.750 (47.928) Prec@5 73.125 (78.347) Epoch: [51][2860/11272] Time 0.754 (0.798) Data 0.001 (0.003) Loss 1.9731 (2.0174) Prec@1 48.125 (47.924) Prec@5 79.375 (78.346) Epoch: [51][2870/11272] Time 0.771 (0.798) Data 0.001 (0.002) Loss 1.8330 (2.0172) Prec@1 51.250 (47.930) Prec@5 81.875 (78.348) Epoch: [51][2880/11272] Time 0.856 (0.798) Data 0.001 (0.002) Loss 1.9194 (2.0172) Prec@1 45.000 (47.927) Prec@5 83.125 (78.349) Epoch: [51][2890/11272] Time 0.885 (0.798) Data 0.001 (0.002) Loss 1.9822 (2.0175) Prec@1 50.000 (47.924) Prec@5 78.125 (78.340) Epoch: [51][2900/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.1874 (2.0178) Prec@1 49.375 (47.919) Prec@5 77.500 (78.332) Epoch: [51][2910/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 1.9179 (2.0177) Prec@1 53.750 (47.923) Prec@5 81.250 (78.332) Epoch: [51][2920/11272] Time 0.856 (0.798) Data 0.001 (0.002) Loss 2.1652 (2.0177) Prec@1 45.625 (47.921) Prec@5 75.000 (78.330) Epoch: [51][2930/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 2.0691 (2.0178) Prec@1 47.500 (47.918) Prec@5 75.000 (78.328) Epoch: [51][2940/11272] Time 0.756 (0.798) Data 0.001 (0.002) Loss 2.0671 (2.0180) Prec@1 43.125 (47.914) Prec@5 77.500 (78.323) Epoch: [51][2950/11272] Time 0.785 (0.798) Data 0.001 (0.002) Loss 1.8483 (2.0180) Prec@1 50.000 (47.917) Prec@5 76.250 (78.324) Epoch: [51][2960/11272] Time 0.869 (0.798) Data 0.002 (0.002) Loss 2.1940 (2.0181) Prec@1 46.250 (47.913) Prec@5 77.500 (78.320) Epoch: [51][2970/11272] Time 0.769 (0.798) Data 0.001 (0.002) Loss 1.9764 (2.0179) Prec@1 47.500 (47.914) Prec@5 82.500 (78.328) Epoch: [51][2980/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 1.9127 (2.0178) Prec@1 50.625 (47.923) Prec@5 80.000 (78.328) Epoch: [51][2990/11272] Time 0.840 (0.798) Data 0.001 (0.002) Loss 1.9227 (2.0179) Prec@1 52.500 (47.917) Prec@5 79.375 (78.325) Epoch: [51][3000/11272] Time 0.862 (0.798) Data 0.002 (0.002) Loss 1.8131 (2.0180) Prec@1 60.000 (47.916) Prec@5 81.875 (78.323) Epoch: [51][3010/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 2.1736 (2.0179) Prec@1 46.250 (47.915) Prec@5 77.500 (78.327) Epoch: [51][3020/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 2.1974 (2.0178) Prec@1 48.125 (47.919) Prec@5 77.500 (78.328) Epoch: [51][3030/11272] Time 0.819 (0.798) Data 0.001 (0.002) Loss 2.1678 (2.0181) Prec@1 40.625 (47.913) Prec@5 76.875 (78.324) Epoch: [51][3040/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.1897 (2.0182) Prec@1 45.000 (47.911) Prec@5 72.500 (78.318) Epoch: [51][3050/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 2.0688 (2.0182) Prec@1 50.625 (47.918) Prec@5 78.125 (78.316) Epoch: [51][3060/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.0177 (2.0181) Prec@1 42.500 (47.920) Prec@5 78.750 (78.316) Epoch: [51][3070/11272] Time 0.797 (0.798) Data 0.001 (0.002) Loss 1.6862 (2.0179) Prec@1 56.250 (47.925) Prec@5 84.375 (78.319) Epoch: [51][3080/11272] Time 0.873 (0.798) Data 0.002 (0.002) Loss 1.9627 (2.0181) Prec@1 54.375 (47.921) Prec@5 81.250 (78.314) Epoch: [51][3090/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.9981 (2.0180) Prec@1 45.000 (47.921) Prec@5 81.250 (78.315) Epoch: [51][3100/11272] Time 0.866 (0.798) Data 0.003 (0.002) Loss 2.2044 (2.0180) Prec@1 46.875 (47.921) Prec@5 73.125 (78.312) Epoch: [51][3110/11272] Time 0.882 (0.799) Data 0.001 (0.002) Loss 2.1068 (2.0180) Prec@1 41.875 (47.916) Prec@5 78.750 (78.315) Epoch: [51][3120/11272] Time 0.742 (0.799) Data 0.001 (0.002) Loss 1.8583 (2.0178) Prec@1 48.750 (47.916) Prec@5 80.625 (78.323) Epoch: [51][3130/11272] Time 0.741 (0.799) Data 0.001 (0.002) Loss 1.9932 (2.0177) Prec@1 49.375 (47.918) Prec@5 76.875 (78.326) Epoch: [51][3140/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.0739 (2.0179) Prec@1 46.250 (47.918) Prec@5 75.625 (78.324) Epoch: [51][3150/11272] Time 0.838 (0.799) Data 0.002 (0.002) Loss 1.9935 (2.0180) Prec@1 45.625 (47.914) Prec@5 79.375 (78.321) Epoch: [51][3160/11272] Time 0.754 (0.799) Data 0.001 (0.002) Loss 1.8913 (2.0179) Prec@1 51.875 (47.917) Prec@5 78.750 (78.325) Epoch: [51][3170/11272] Time 0.741 (0.799) Data 0.002 (0.002) Loss 2.3931 (2.0180) Prec@1 44.375 (47.914) Prec@5 70.000 (78.322) Epoch: [51][3180/11272] Time 0.837 (0.799) Data 0.001 (0.002) Loss 1.9830 (2.0181) Prec@1 48.750 (47.910) Prec@5 78.750 (78.320) Epoch: [51][3190/11272] Time 0.866 (0.799) Data 0.001 (0.002) Loss 2.0671 (2.0182) Prec@1 48.125 (47.905) Prec@5 79.375 (78.321) Epoch: [51][3200/11272] Time 0.807 (0.799) Data 0.002 (0.002) Loss 2.2597 (2.0183) Prec@1 38.750 (47.900) Prec@5 72.500 (78.322) Epoch: [51][3210/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 1.8598 (2.0184) Prec@1 51.875 (47.900) Prec@5 78.750 (78.318) Epoch: [51][3220/11272] Time 0.877 (0.799) Data 0.001 (0.002) Loss 2.0574 (2.0184) Prec@1 47.500 (47.900) Prec@5 78.750 (78.317) Epoch: [51][3230/11272] Time 0.721 (0.799) Data 0.004 (0.002) Loss 1.9045 (2.0185) Prec@1 46.875 (47.894) Prec@5 80.625 (78.318) Epoch: [51][3240/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.9115 (2.0183) Prec@1 54.375 (47.896) Prec@5 81.875 (78.323) Epoch: [51][3250/11272] Time 0.869 (0.799) Data 0.002 (0.002) Loss 1.6995 (2.0182) Prec@1 53.750 (47.902) Prec@5 81.250 (78.326) Epoch: [51][3260/11272] Time 0.870 (0.799) Data 0.002 (0.002) Loss 2.0812 (2.0182) Prec@1 44.375 (47.898) Prec@5 75.625 (78.324) Epoch: [51][3270/11272] Time 0.726 (0.799) Data 0.003 (0.002) Loss 2.0894 (2.0181) Prec@1 45.625 (47.902) Prec@5 79.375 (78.327) Epoch: [51][3280/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 2.2537 (2.0182) Prec@1 44.375 (47.900) Prec@5 74.375 (78.328) Epoch: [51][3290/11272] Time 0.879 (0.799) Data 0.002 (0.002) Loss 2.1294 (2.0182) Prec@1 46.250 (47.896) Prec@5 73.125 (78.326) Epoch: [51][3300/11272] Time 0.865 (0.799) Data 0.001 (0.002) Loss 2.3457 (2.0183) Prec@1 41.875 (47.895) Prec@5 73.750 (78.324) Epoch: [51][3310/11272] Time 0.712 (0.799) Data 0.001 (0.002) Loss 2.0101 (2.0183) Prec@1 48.750 (47.894) Prec@5 77.500 (78.325) Epoch: [51][3320/11272] Time 0.755 (0.799) Data 0.002 (0.002) Loss 2.0249 (2.0181) Prec@1 46.875 (47.897) Prec@5 76.875 (78.326) Epoch: [51][3330/11272] Time 0.832 (0.799) Data 0.002 (0.002) Loss 2.1551 (2.0180) Prec@1 41.875 (47.895) Prec@5 73.125 (78.325) Epoch: [51][3340/11272] Time 0.862 (0.799) Data 0.002 (0.002) Loss 1.8687 (2.0180) Prec@1 55.000 (47.896) Prec@5 80.000 (78.326) Epoch: [51][3350/11272] Time 0.779 (0.799) Data 0.002 (0.002) Loss 1.9677 (2.0181) Prec@1 49.375 (47.897) Prec@5 81.250 (78.321) Epoch: [51][3360/11272] Time 0.870 (0.799) Data 0.002 (0.002) Loss 2.1531 (2.0181) Prec@1 41.250 (47.897) Prec@5 76.875 (78.321) Epoch: [51][3370/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.9687 (2.0181) Prec@1 46.250 (47.896) Prec@5 75.000 (78.322) Epoch: [51][3380/11272] Time 0.729 (0.799) Data 0.001 (0.002) Loss 1.9862 (2.0182) Prec@1 45.625 (47.892) Prec@5 75.625 (78.319) Epoch: [51][3390/11272] Time 0.743 (0.799) Data 0.002 (0.002) Loss 1.9351 (2.0181) Prec@1 48.750 (47.891) Prec@5 80.000 (78.321) Epoch: [51][3400/11272] Time 0.883 (0.799) Data 0.002 (0.002) Loss 1.8809 (2.0179) Prec@1 51.875 (47.894) Prec@5 79.375 (78.325) Epoch: [51][3410/11272] Time 0.836 (0.799) Data 0.001 (0.002) Loss 2.1694 (2.0179) Prec@1 47.500 (47.892) Prec@5 78.125 (78.327) Epoch: [51][3420/11272] Time 0.741 (0.799) Data 0.002 (0.002) Loss 1.9473 (2.0180) Prec@1 48.750 (47.887) Prec@5 78.750 (78.326) Epoch: [51][3430/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 1.9682 (2.0182) Prec@1 48.750 (47.887) Prec@5 79.375 (78.325) Epoch: [51][3440/11272] Time 0.868 (0.799) Data 0.002 (0.002) Loss 2.1343 (2.0182) Prec@1 51.250 (47.887) Prec@5 75.625 (78.324) Epoch: [51][3450/11272] Time 0.845 (0.799) Data 0.001 (0.002) Loss 2.0656 (2.0183) Prec@1 48.125 (47.884) Prec@5 77.500 (78.325) Epoch: [51][3460/11272] Time 0.777 (0.799) Data 0.002 (0.002) Loss 1.7302 (2.0184) Prec@1 55.000 (47.880) Prec@5 81.250 (78.325) Epoch: [51][3470/11272] Time 0.755 (0.799) Data 0.002 (0.002) Loss 2.0162 (2.0185) Prec@1 45.625 (47.880) Prec@5 79.375 (78.323) Epoch: [51][3480/11272] Time 0.865 (0.799) Data 0.002 (0.002) Loss 2.1211 (2.0188) Prec@1 40.000 (47.873) Prec@5 77.500 (78.316) Epoch: [51][3490/11272] Time 0.735 (0.799) Data 0.003 (0.002) Loss 2.0782 (2.0189) Prec@1 48.125 (47.871) Prec@5 76.250 (78.312) Epoch: [51][3500/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 2.1560 (2.0189) Prec@1 43.750 (47.868) Prec@5 73.750 (78.312) Epoch: [51][3510/11272] Time 0.879 (0.799) Data 0.002 (0.002) Loss 2.1085 (2.0188) Prec@1 43.750 (47.870) Prec@5 75.625 (78.313) Epoch: [51][3520/11272] Time 0.867 (0.799) Data 0.002 (0.002) Loss 1.9941 (2.0187) Prec@1 49.375 (47.870) Prec@5 78.750 (78.315) Epoch: [51][3530/11272] Time 0.778 (0.799) Data 0.002 (0.002) Loss 2.0066 (2.0184) Prec@1 50.000 (47.874) Prec@5 79.375 (78.319) Epoch: [51][3540/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 2.0603 (2.0185) Prec@1 45.000 (47.873) Prec@5 78.750 (78.319) Epoch: [51][3550/11272] Time 0.833 (0.799) Data 0.002 (0.002) Loss 2.0581 (2.0187) Prec@1 45.000 (47.874) Prec@5 78.750 (78.315) Epoch: [51][3560/11272] Time 0.819 (0.799) Data 0.002 (0.002) Loss 1.9506 (2.0188) Prec@1 50.000 (47.869) Prec@5 81.250 (78.312) Epoch: [51][3570/11272] Time 0.776 (0.799) Data 0.002 (0.002) Loss 2.1435 (2.0189) Prec@1 41.250 (47.863) Prec@5 75.000 (78.311) Epoch: [51][3580/11272] Time 0.743 (0.799) Data 0.002 (0.002) Loss 2.0331 (2.0189) Prec@1 50.625 (47.860) Prec@5 77.500 (78.314) Epoch: [51][3590/11272] Time 0.873 (0.799) Data 0.001 (0.002) Loss 2.0588 (2.0189) Prec@1 42.500 (47.856) Prec@5 78.125 (78.314) Epoch: [51][3600/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 1.9087 (2.0189) Prec@1 46.250 (47.855) Prec@5 80.000 (78.315) Epoch: [51][3610/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 2.1040 (2.0191) Prec@1 46.250 (47.854) Prec@5 75.625 (78.310) Epoch: [51][3620/11272] Time 0.833 (0.799) Data 0.002 (0.002) Loss 1.7607 (2.0189) Prec@1 50.625 (47.858) Prec@5 83.750 (78.318) Epoch: [51][3630/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 1.9909 (2.0190) Prec@1 46.875 (47.857) Prec@5 80.000 (78.319) Epoch: [51][3640/11272] Time 0.721 (0.799) Data 0.002 (0.002) Loss 1.9057 (2.0190) Prec@1 50.000 (47.856) Prec@5 81.250 (78.322) Epoch: [51][3650/11272] Time 0.757 (0.799) Data 0.001 (0.002) Loss 1.8940 (2.0190) Prec@1 51.875 (47.858) Prec@5 80.000 (78.321) Epoch: [51][3660/11272] Time 0.870 (0.799) Data 0.002 (0.002) Loss 2.0082 (2.0189) Prec@1 47.500 (47.860) Prec@5 80.625 (78.322) Epoch: [51][3670/11272] Time 0.915 (0.799) Data 0.002 (0.002) Loss 1.8643 (2.0191) Prec@1 50.000 (47.859) Prec@5 81.250 (78.318) Epoch: [51][3680/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.1019 (2.0191) Prec@1 49.375 (47.863) Prec@5 76.250 (78.318) Epoch: [51][3690/11272] Time 0.751 (0.800) Data 0.003 (0.002) Loss 2.0388 (2.0190) Prec@1 46.250 (47.861) Prec@5 74.375 (78.317) Epoch: [51][3700/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.2253 (2.0191) Prec@1 41.875 (47.861) Prec@5 72.500 (78.314) Epoch: [51][3710/11272] Time 0.899 (0.800) Data 0.002 (0.002) Loss 2.4541 (2.0192) Prec@1 39.375 (47.855) Prec@5 70.625 (78.313) Epoch: [51][3720/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 2.0964 (2.0194) Prec@1 46.875 (47.854) Prec@5 79.375 (78.309) Epoch: [51][3730/11272] Time 0.714 (0.800) Data 0.001 (0.002) Loss 2.2927 (2.0195) Prec@1 36.875 (47.850) Prec@5 68.750 (78.305) Epoch: [51][3740/11272] Time 0.869 (0.800) Data 0.001 (0.002) Loss 1.9008 (2.0193) Prec@1 48.750 (47.852) Prec@5 80.625 (78.311) Epoch: [51][3750/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.0337 (2.0194) Prec@1 48.125 (47.850) Prec@5 81.250 (78.313) Epoch: [51][3760/11272] Time 0.729 (0.800) Data 0.001 (0.002) Loss 2.2204 (2.0195) Prec@1 40.000 (47.848) Prec@5 75.625 (78.312) Epoch: [51][3770/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 2.1797 (2.0196) Prec@1 43.750 (47.845) Prec@5 73.750 (78.312) Epoch: [51][3780/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 2.1997 (2.0195) Prec@1 46.250 (47.849) Prec@5 78.125 (78.312) Epoch: [51][3790/11272] Time 0.770 (0.800) Data 0.002 (0.002) Loss 1.9325 (2.0195) Prec@1 52.500 (47.849) Prec@5 79.375 (78.311) Epoch: [51][3800/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9830 (2.0196) Prec@1 52.500 (47.844) Prec@5 81.250 (78.310) Epoch: [51][3810/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.0451 (2.0196) Prec@1 46.250 (47.846) Prec@5 78.125 (78.311) Epoch: [51][3820/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 2.1883 (2.0195) Prec@1 47.500 (47.850) Prec@5 76.250 (78.315) Epoch: [51][3830/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.9988 (2.0195) Prec@1 46.250 (47.849) Prec@5 77.500 (78.315) Epoch: [51][3840/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.0443 (2.0197) Prec@1 53.750 (47.849) Prec@5 78.125 (78.311) Epoch: [51][3850/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 1.9559 (2.0195) Prec@1 45.625 (47.850) Prec@5 80.000 (78.313) Epoch: [51][3860/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0918 (2.0198) Prec@1 47.500 (47.846) Prec@5 74.375 (78.306) Epoch: [51][3870/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.0651 (2.0197) Prec@1 48.750 (47.850) Prec@5 75.000 (78.307) Epoch: [51][3880/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.3484 (2.0198) Prec@1 41.250 (47.847) Prec@5 72.500 (78.304) Epoch: [51][3890/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 2.2985 (2.0199) Prec@1 48.125 (47.847) Prec@5 70.625 (78.300) Epoch: [51][3900/11272] Time 0.797 (0.800) Data 0.002 (0.002) Loss 1.8152 (2.0196) Prec@1 54.375 (47.856) Prec@5 82.500 (78.305) Epoch: [51][3910/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 1.9230 (2.0199) Prec@1 48.125 (47.852) Prec@5 78.750 (78.303) Epoch: [51][3920/11272] Time 0.903 (0.800) Data 0.001 (0.002) Loss 2.0808 (2.0199) Prec@1 48.750 (47.849) Prec@5 78.125 (78.302) Epoch: [51][3930/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 2.0440 (2.0199) Prec@1 45.625 (47.849) Prec@5 76.250 (78.303) Epoch: [51][3940/11272] Time 0.794 (0.800) Data 0.002 (0.002) Loss 2.0080 (2.0198) Prec@1 46.250 (47.850) Prec@5 76.250 (78.302) Epoch: [51][3950/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.7140 (2.0198) Prec@1 56.250 (47.854) Prec@5 81.875 (78.303) Epoch: [51][3960/11272] Time 0.873 (0.800) Data 0.001 (0.002) Loss 2.2815 (2.0199) Prec@1 44.375 (47.853) Prec@5 70.625 (78.300) Epoch: [51][3970/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0826 (2.0201) Prec@1 43.750 (47.849) Prec@5 82.500 (78.298) Epoch: [51][3980/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 1.8747 (2.0200) Prec@1 43.750 (47.848) Prec@5 80.625 (78.298) Epoch: [51][3990/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.0765 (2.0200) Prec@1 51.875 (47.852) Prec@5 73.750 (78.299) Epoch: [51][4000/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 2.1066 (2.0199) Prec@1 45.625 (47.858) Prec@5 79.375 (78.299) Epoch: [51][4010/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 2.2588 (2.0200) Prec@1 42.500 (47.860) Prec@5 75.000 (78.295) Epoch: [51][4020/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.0187 (2.0202) Prec@1 53.750 (47.857) Prec@5 75.625 (78.293) Epoch: [51][4030/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 2.1465 (2.0203) Prec@1 43.125 (47.857) Prec@5 75.625 (78.291) Epoch: [51][4040/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.1447 (2.0203) Prec@1 46.250 (47.860) Prec@5 75.625 (78.291) Epoch: [51][4050/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.2485 (2.0203) Prec@1 43.125 (47.861) Prec@5 76.250 (78.291) Epoch: [51][4060/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 2.0470 (2.0203) Prec@1 45.625 (47.856) Prec@5 79.375 (78.288) Epoch: [51][4070/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 2.2185 (2.0204) Prec@1 45.625 (47.854) Prec@5 75.000 (78.283) Epoch: [51][4080/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 1.8989 (2.0204) Prec@1 48.750 (47.853) Prec@5 82.500 (78.282) Epoch: [51][4090/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.2177 (2.0206) Prec@1 47.500 (47.852) Prec@5 76.250 (78.278) Epoch: [51][4100/11272] Time 0.775 (0.800) Data 0.002 (0.002) Loss 2.1728 (2.0209) Prec@1 43.750 (47.844) Prec@5 75.000 (78.269) Epoch: [51][4110/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 1.7871 (2.0206) Prec@1 56.875 (47.850) Prec@5 83.750 (78.276) Epoch: [51][4120/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.0827 (2.0205) Prec@1 45.000 (47.854) Prec@5 80.625 (78.277) Epoch: [51][4130/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.1046 (2.0206) Prec@1 48.125 (47.853) Prec@5 77.500 (78.276) Epoch: [51][4140/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.9600 (2.0207) Prec@1 52.500 (47.853) Prec@5 79.375 (78.277) Epoch: [51][4150/11272] Time 0.859 (0.800) Data 0.001 (0.002) Loss 2.0604 (2.0206) Prec@1 46.875 (47.855) Prec@5 78.750 (78.277) Epoch: [51][4160/11272] Time 0.746 (0.800) Data 0.003 (0.002) Loss 1.8804 (2.0207) Prec@1 53.750 (47.857) Prec@5 79.375 (78.274) Epoch: [51][4170/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 1.9577 (2.0207) Prec@1 48.750 (47.860) Prec@5 80.000 (78.275) Epoch: [51][4180/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 1.9878 (2.0208) Prec@1 50.625 (47.860) Prec@5 78.125 (78.273) Epoch: [51][4190/11272] Time 0.853 (0.800) Data 0.001 (0.002) Loss 2.0434 (2.0209) Prec@1 48.125 (47.859) Prec@5 78.750 (78.270) Epoch: [51][4200/11272] Time 0.716 (0.800) Data 0.002 (0.002) Loss 2.0758 (2.0210) Prec@1 47.500 (47.856) Prec@5 74.375 (78.267) Epoch: [51][4210/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 1.8291 (2.0210) Prec@1 56.875 (47.860) Prec@5 83.750 (78.264) Epoch: [51][4220/11272] Time 0.865 (0.800) Data 0.002 (0.002) Loss 2.1409 (2.0210) Prec@1 45.625 (47.859) Prec@5 78.125 (78.263) Epoch: [51][4230/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 1.9433 (2.0210) Prec@1 48.125 (47.857) Prec@5 77.500 (78.262) Epoch: [51][4240/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 1.7577 (2.0211) Prec@1 52.500 (47.854) Prec@5 83.125 (78.263) Epoch: [51][4250/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.9812 (2.0210) Prec@1 48.125 (47.856) Prec@5 80.000 (78.266) Epoch: [51][4260/11272] Time 0.857 (0.800) Data 0.001 (0.002) Loss 1.8942 (2.0209) Prec@1 50.000 (47.861) Prec@5 84.375 (78.268) Epoch: [51][4270/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 2.1570 (2.0209) Prec@1 50.000 (47.862) Prec@5 72.500 (78.269) Epoch: [51][4280/11272] Time 0.736 (0.800) Data 0.001 (0.002) Loss 2.1289 (2.0207) Prec@1 51.875 (47.865) Prec@5 75.625 (78.273) Epoch: [51][4290/11272] Time 0.853 (0.800) Data 0.002 (0.002) Loss 2.2428 (2.0207) Prec@1 44.375 (47.866) Prec@5 76.875 (78.273) Epoch: [51][4300/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.9536 (2.0207) Prec@1 46.875 (47.865) Prec@5 78.125 (78.271) Epoch: [51][4310/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 2.1164 (2.0209) Prec@1 48.750 (47.861) Prec@5 75.000 (78.269) Epoch: [51][4320/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 2.0778 (2.0208) Prec@1 47.500 (47.862) Prec@5 79.375 (78.273) Epoch: [51][4330/11272] Time 0.835 (0.801) Data 0.001 (0.002) Loss 1.9475 (2.0209) Prec@1 45.625 (47.860) Prec@5 83.750 (78.273) Epoch: [51][4340/11272] Time 0.908 (0.801) Data 0.001 (0.002) Loss 2.0339 (2.0209) Prec@1 48.125 (47.860) Prec@5 76.250 (78.269) Epoch: [51][4350/11272] Time 0.737 (0.801) Data 0.001 (0.002) Loss 1.8570 (2.0207) Prec@1 53.125 (47.865) Prec@5 78.125 (78.273) Epoch: [51][4360/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 2.1041 (2.0208) Prec@1 48.750 (47.861) Prec@5 75.000 (78.271) Epoch: [51][4370/11272] Time 0.851 (0.801) Data 0.001 (0.002) Loss 2.0588 (2.0208) Prec@1 45.625 (47.858) Prec@5 73.750 (78.270) Epoch: [51][4380/11272] Time 0.856 (0.801) Data 0.002 (0.002) Loss 1.9803 (2.0207) Prec@1 49.375 (47.864) Prec@5 81.875 (78.272) Epoch: [51][4390/11272] Time 0.798 (0.801) Data 0.002 (0.002) Loss 2.0365 (2.0208) Prec@1 45.625 (47.861) Prec@5 76.250 (78.268) Epoch: [51][4400/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 2.0669 (2.0207) Prec@1 46.250 (47.864) Prec@5 76.875 (78.268) Epoch: [51][4410/11272] Time 0.831 (0.801) Data 0.001 (0.002) Loss 2.0051 (2.0208) Prec@1 46.875 (47.863) Prec@5 76.875 (78.266) Epoch: [51][4420/11272] Time 0.722 (0.801) Data 0.003 (0.002) Loss 2.1482 (2.0208) Prec@1 45.000 (47.865) Prec@5 80.000 (78.265) Epoch: [51][4430/11272] Time 0.763 (0.801) Data 0.002 (0.002) Loss 2.1073 (2.0209) Prec@1 47.500 (47.862) Prec@5 75.625 (78.265) Epoch: [51][4440/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.9952 (2.0209) Prec@1 48.750 (47.860) Prec@5 78.125 (78.262) Epoch: [51][4450/11272] Time 0.852 (0.801) Data 0.001 (0.002) Loss 1.8450 (2.0210) Prec@1 53.750 (47.859) Prec@5 80.625 (78.259) Epoch: [51][4460/11272] Time 0.739 (0.801) Data 0.001 (0.002) Loss 2.1003 (2.0210) Prec@1 46.875 (47.859) Prec@5 75.625 (78.258) Epoch: [51][4470/11272] Time 0.732 (0.801) Data 0.001 (0.002) Loss 2.0117 (2.0211) Prec@1 48.125 (47.860) Prec@5 79.375 (78.258) Epoch: [51][4480/11272] Time 0.859 (0.801) Data 0.001 (0.002) Loss 1.9230 (2.0209) Prec@1 46.875 (47.860) Prec@5 76.250 (78.258) Epoch: [51][4490/11272] Time 0.833 (0.801) Data 0.002 (0.002) Loss 1.9440 (2.0209) Prec@1 55.625 (47.863) Prec@5 78.125 (78.257) Epoch: [51][4500/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 1.9984 (2.0211) Prec@1 50.000 (47.859) Prec@5 81.875 (78.253) Epoch: [51][4510/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 2.0189 (2.0213) Prec@1 46.250 (47.855) Prec@5 78.750 (78.249) Epoch: [51][4520/11272] Time 0.828 (0.801) Data 0.001 (0.002) Loss 2.1937 (2.0215) Prec@1 39.375 (47.851) Prec@5 79.375 (78.247) Epoch: [51][4530/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 2.0394 (2.0218) Prec@1 46.875 (47.846) Prec@5 74.375 (78.241) Epoch: [51][4540/11272] Time 0.755 (0.801) Data 0.002 (0.002) Loss 1.7090 (2.0218) Prec@1 58.125 (47.846) Prec@5 81.250 (78.240) Epoch: [51][4550/11272] Time 0.929 (0.801) Data 0.001 (0.002) Loss 1.9996 (2.0219) Prec@1 48.750 (47.846) Prec@5 81.250 (78.237) Epoch: [51][4560/11272] Time 0.858 (0.801) Data 0.002 (0.002) Loss 2.1361 (2.0220) Prec@1 43.125 (47.840) Prec@5 72.500 (78.237) Epoch: [51][4570/11272] Time 0.751 (0.801) Data 0.001 (0.002) Loss 1.8621 (2.0219) Prec@1 49.375 (47.845) Prec@5 81.250 (78.239) Epoch: [51][4580/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.0653 (2.0220) Prec@1 45.000 (47.843) Prec@5 75.000 (78.237) Epoch: [51][4590/11272] Time 0.874 (0.801) Data 0.002 (0.002) Loss 2.1634 (2.0220) Prec@1 39.375 (47.841) Prec@5 76.875 (78.235) Epoch: [51][4600/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 2.1521 (2.0221) Prec@1 44.375 (47.838) Prec@5 73.750 (78.234) Epoch: [51][4610/11272] Time 0.770 (0.801) Data 0.002 (0.002) Loss 2.1872 (2.0222) Prec@1 41.250 (47.836) Prec@5 73.125 (78.231) Epoch: [51][4620/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.0818 (2.0222) Prec@1 48.750 (47.837) Prec@5 76.875 (78.233) Epoch: [51][4630/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 1.8897 (2.0221) Prec@1 48.750 (47.837) Prec@5 82.500 (78.236) Epoch: [51][4640/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 2.1267 (2.0222) Prec@1 43.750 (47.839) Prec@5 76.875 (78.234) Epoch: [51][4650/11272] Time 0.722 (0.801) Data 0.001 (0.002) Loss 1.9900 (2.0223) Prec@1 50.625 (47.842) Prec@5 77.500 (78.230) Epoch: [51][4660/11272] Time 0.741 (0.801) Data 0.002 (0.002) Loss 1.9427 (2.0222) Prec@1 54.375 (47.846) Prec@5 81.250 (78.233) Epoch: [51][4670/11272] Time 0.859 (0.801) Data 0.002 (0.002) Loss 2.2859 (2.0224) Prec@1 48.750 (47.843) Prec@5 72.500 (78.234) Epoch: [51][4680/11272] Time 0.864 (0.801) Data 0.001 (0.002) Loss 2.1557 (2.0224) Prec@1 41.875 (47.845) Prec@5 75.000 (78.231) Epoch: [51][4690/11272] Time 0.752 (0.801) Data 0.001 (0.002) Loss 1.9296 (2.0225) Prec@1 50.625 (47.845) Prec@5 75.000 (78.230) Epoch: [51][4700/11272] Time 0.915 (0.801) Data 0.002 (0.002) Loss 1.9392 (2.0226) Prec@1 46.875 (47.843) Prec@5 81.250 (78.229) Epoch: [51][4710/11272] Time 0.831 (0.801) Data 0.001 (0.002) Loss 1.9390 (2.0226) Prec@1 52.500 (47.844) Prec@5 80.625 (78.229) Epoch: [51][4720/11272] Time 0.766 (0.801) Data 0.002 (0.002) Loss 2.1848 (2.0226) Prec@1 48.125 (47.843) Prec@5 75.625 (78.229) Epoch: [51][4730/11272] Time 0.751 (0.801) Data 0.002 (0.002) Loss 1.7883 (2.0225) Prec@1 52.500 (47.845) Prec@5 84.375 (78.231) Epoch: [51][4740/11272] Time 0.850 (0.801) Data 0.001 (0.002) Loss 1.9402 (2.0224) Prec@1 50.625 (47.845) Prec@5 78.750 (78.231) Epoch: [51][4750/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 2.0408 (2.0223) Prec@1 48.125 (47.846) Prec@5 76.250 (78.231) Epoch: [51][4760/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 1.8809 (2.0221) Prec@1 47.500 (47.849) Prec@5 81.875 (78.235) Epoch: [51][4770/11272] Time 0.762 (0.801) Data 0.002 (0.002) Loss 2.1373 (2.0223) Prec@1 42.500 (47.842) Prec@5 78.750 (78.233) Epoch: [51][4780/11272] Time 0.848 (0.801) Data 0.001 (0.002) Loss 1.8818 (2.0222) Prec@1 50.000 (47.844) Prec@5 76.875 (78.231) Epoch: [51][4790/11272] Time 0.848 (0.801) Data 0.001 (0.002) Loss 2.1578 (2.0222) Prec@1 43.750 (47.844) Prec@5 73.125 (78.229) Epoch: [51][4800/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 1.9101 (2.0222) Prec@1 43.750 (47.844) Prec@5 77.500 (78.229) Epoch: [51][4810/11272] Time 0.756 (0.801) Data 0.002 (0.002) Loss 2.2149 (2.0223) Prec@1 41.250 (47.841) Prec@5 74.375 (78.228) Epoch: [51][4820/11272] Time 0.861 (0.801) Data 0.002 (0.002) Loss 2.2105 (2.0224) Prec@1 41.875 (47.840) Prec@5 76.875 (78.227) Epoch: [51][4830/11272] Time 0.769 (0.801) Data 0.001 (0.002) Loss 2.1648 (2.0225) Prec@1 41.875 (47.837) Prec@5 76.250 (78.223) Epoch: [51][4840/11272] Time 0.721 (0.801) Data 0.002 (0.002) Loss 1.8390 (2.0224) Prec@1 50.625 (47.840) Prec@5 82.500 (78.225) Epoch: [51][4850/11272] Time 0.874 (0.801) Data 0.001 (0.002) Loss 1.9180 (2.0225) Prec@1 50.625 (47.835) Prec@5 76.875 (78.223) Epoch: [51][4860/11272] Time 0.839 (0.801) Data 0.002 (0.002) Loss 2.2029 (2.0227) Prec@1 50.000 (47.834) Prec@5 71.875 (78.217) Epoch: [51][4870/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.7962 (2.0228) Prec@1 50.000 (47.830) Prec@5 82.500 (78.214) Epoch: [51][4880/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 1.6043 (2.0227) Prec@1 56.875 (47.832) Prec@5 87.500 (78.216) Epoch: [51][4890/11272] Time 0.860 (0.801) Data 0.002 (0.002) Loss 1.9454 (2.0228) Prec@1 52.500 (47.830) Prec@5 75.625 (78.212) Epoch: [51][4900/11272] Time 0.850 (0.801) Data 0.002 (0.002) Loss 1.8892 (2.0227) Prec@1 50.000 (47.831) Prec@5 81.250 (78.214) Epoch: [51][4910/11272] Time 0.734 (0.801) Data 0.001 (0.002) Loss 2.1607 (2.0226) Prec@1 42.500 (47.830) Prec@5 74.375 (78.214) Epoch: [51][4920/11272] Time 0.715 (0.801) Data 0.002 (0.002) Loss 2.1552 (2.0226) Prec@1 43.125 (47.833) Prec@5 80.000 (78.215) Epoch: [51][4930/11272] Time 0.859 (0.801) Data 0.001 (0.002) Loss 1.8843 (2.0227) Prec@1 48.750 (47.831) Prec@5 83.125 (78.214) Epoch: [51][4940/11272] Time 0.854 (0.801) Data 0.001 (0.002) Loss 2.2211 (2.0226) Prec@1 43.125 (47.836) Prec@5 73.125 (78.215) Epoch: [51][4950/11272] Time 0.724 (0.801) Data 0.001 (0.002) Loss 1.9750 (2.0224) Prec@1 51.875 (47.841) Prec@5 78.125 (78.220) Epoch: [51][4960/11272] Time 0.871 (0.801) Data 0.001 (0.002) Loss 2.1369 (2.0223) Prec@1 41.875 (47.844) Prec@5 75.000 (78.219) Epoch: [51][4970/11272] Time 0.841 (0.801) Data 0.001 (0.002) Loss 2.1342 (2.0222) Prec@1 43.750 (47.845) Prec@5 79.375 (78.223) Epoch: [51][4980/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 1.9268 (2.0222) Prec@1 51.250 (47.845) Prec@5 78.125 (78.226) Epoch: [51][4990/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 2.1681 (2.0222) Prec@1 42.500 (47.844) Prec@5 76.875 (78.226) Epoch: [51][5000/11272] Time 0.843 (0.801) Data 0.001 (0.002) Loss 2.0272 (2.0223) Prec@1 47.500 (47.843) Prec@5 79.375 (78.227) Epoch: [51][5010/11272] Time 0.815 (0.801) Data 0.001 (0.002) Loss 1.9396 (2.0223) Prec@1 46.875 (47.843) Prec@5 82.500 (78.228) Epoch: [51][5020/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 1.9509 (2.0221) Prec@1 44.375 (47.846) Prec@5 83.125 (78.230) Epoch: [51][5030/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 1.9637 (2.0219) Prec@1 47.500 (47.853) Prec@5 81.875 (78.234) Epoch: [51][5040/11272] Time 0.849 (0.801) Data 0.001 (0.002) Loss 1.8977 (2.0219) Prec@1 49.375 (47.850) Prec@5 81.875 (78.237) Epoch: [51][5050/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 1.6600 (2.0219) Prec@1 52.500 (47.849) Prec@5 84.375 (78.239) Epoch: [51][5060/11272] Time 0.775 (0.801) Data 0.002 (0.002) Loss 1.9771 (2.0218) Prec@1 44.375 (47.848) Prec@5 76.875 (78.238) Epoch: [51][5070/11272] Time 0.784 (0.801) Data 0.002 (0.002) Loss 1.9481 (2.0219) Prec@1 47.500 (47.848) Prec@5 80.625 (78.237) Epoch: [51][5080/11272] Time 0.811 (0.801) Data 0.001 (0.002) Loss 2.1554 (2.0220) Prec@1 47.500 (47.845) Prec@5 71.875 (78.235) Epoch: [51][5090/11272] Time 0.733 (0.801) Data 0.003 (0.002) Loss 2.0067 (2.0221) Prec@1 45.000 (47.841) Prec@5 78.125 (78.235) Epoch: [51][5100/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 1.8432 (2.0220) Prec@1 50.000 (47.844) Prec@5 80.625 (78.235) Epoch: [51][5110/11272] Time 0.883 (0.801) Data 0.001 (0.002) Loss 2.0390 (2.0221) Prec@1 46.875 (47.844) Prec@5 76.875 (78.234) Epoch: [51][5120/11272] Time 0.916 (0.801) Data 0.002 (0.002) Loss 1.9661 (2.0221) Prec@1 49.375 (47.841) Prec@5 78.125 (78.232) Epoch: [51][5130/11272] Time 0.742 (0.801) Data 0.001 (0.002) Loss 2.0423 (2.0222) Prec@1 45.000 (47.841) Prec@5 82.500 (78.233) Epoch: [51][5140/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 2.0626 (2.0222) Prec@1 51.250 (47.841) Prec@5 79.375 (78.232) Epoch: [51][5150/11272] Time 0.860 (0.801) Data 0.002 (0.002) Loss 2.1145 (2.0221) Prec@1 45.000 (47.839) Prec@5 75.000 (78.233) Epoch: [51][5160/11272] Time 0.836 (0.801) Data 0.002 (0.002) Loss 2.0114 (2.0221) Prec@1 44.375 (47.840) Prec@5 80.625 (78.233) Epoch: [51][5170/11272] Time 0.726 (0.801) Data 0.001 (0.002) Loss 2.1720 (2.0221) Prec@1 49.375 (47.840) Prec@5 73.125 (78.232) Epoch: [51][5180/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 1.7483 (2.0219) Prec@1 54.375 (47.843) Prec@5 83.125 (78.233) Epoch: [51][5190/11272] Time 0.853 (0.801) Data 0.001 (0.002) Loss 2.1962 (2.0220) Prec@1 40.625 (47.842) Prec@5 77.500 (78.231) Epoch: [51][5200/11272] Time 0.851 (0.801) Data 0.002 (0.002) Loss 2.0454 (2.0219) Prec@1 46.875 (47.843) Prec@5 78.125 (78.232) Epoch: [51][5210/11272] Time 0.766 (0.801) Data 0.002 (0.002) Loss 2.2547 (2.0219) Prec@1 50.625 (47.843) Prec@5 74.375 (78.231) Epoch: [51][5220/11272] Time 0.852 (0.801) Data 0.001 (0.002) Loss 1.9227 (2.0219) Prec@1 48.125 (47.839) Prec@5 80.625 (78.233) Epoch: [51][5230/11272] Time 0.888 (0.801) Data 0.002 (0.002) Loss 1.7067 (2.0219) Prec@1 54.375 (47.839) Prec@5 86.875 (78.234) Epoch: [51][5240/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 1.9364 (2.0219) Prec@1 49.375 (47.838) Prec@5 83.125 (78.235) Epoch: [51][5250/11272] Time 0.730 (0.801) Data 0.001 (0.002) Loss 2.0223 (2.0220) Prec@1 45.625 (47.833) Prec@5 80.000 (78.235) Epoch: [51][5260/11272] Time 0.901 (0.801) Data 0.002 (0.002) Loss 2.1948 (2.0220) Prec@1 41.875 (47.833) Prec@5 75.625 (78.234) Epoch: [51][5270/11272] Time 0.844 (0.801) Data 0.001 (0.002) Loss 1.9624 (2.0219) Prec@1 48.125 (47.835) Prec@5 80.625 (78.238) Epoch: [51][5280/11272] Time 0.727 (0.801) Data 0.001 (0.002) Loss 2.1906 (2.0221) Prec@1 40.625 (47.830) Prec@5 72.500 (78.233) Epoch: [51][5290/11272] Time 0.803 (0.801) Data 0.002 (0.002) Loss 2.2355 (2.0221) Prec@1 43.750 (47.829) Prec@5 76.250 (78.234) Epoch: [51][5300/11272] Time 0.867 (0.801) Data 0.001 (0.002) Loss 2.1179 (2.0222) Prec@1 45.000 (47.828) Prec@5 76.875 (78.234) Epoch: [51][5310/11272] Time 0.884 (0.801) Data 0.002 (0.002) Loss 2.0377 (2.0223) Prec@1 50.000 (47.825) Prec@5 78.750 (78.233) Epoch: [51][5320/11272] Time 0.706 (0.801) Data 0.001 (0.002) Loss 1.9927 (2.0221) Prec@1 44.375 (47.826) Prec@5 82.500 (78.236) Epoch: [51][5330/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 2.0815 (2.0221) Prec@1 47.500 (47.826) Prec@5 76.250 (78.235) Epoch: [51][5340/11272] Time 0.899 (0.802) Data 0.001 (0.002) Loss 1.8259 (2.0221) Prec@1 48.125 (47.824) Prec@5 83.125 (78.237) Epoch: [51][5350/11272] Time 0.768 (0.801) Data 0.004 (0.002) Loss 2.0095 (2.0222) Prec@1 45.625 (47.822) Prec@5 73.750 (78.235) Epoch: [51][5360/11272] Time 0.739 (0.801) Data 0.002 (0.002) Loss 1.8663 (2.0221) Prec@1 48.750 (47.821) Prec@5 80.000 (78.235) Epoch: [51][5370/11272] Time 0.887 (0.802) Data 0.002 (0.002) Loss 2.0266 (2.0221) Prec@1 46.875 (47.820) Prec@5 77.500 (78.236) Epoch: [51][5380/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 1.8382 (2.0220) Prec@1 56.250 (47.824) Prec@5 86.250 (78.240) Epoch: [51][5390/11272] Time 0.750 (0.802) Data 0.001 (0.002) Loss 2.0923 (2.0220) Prec@1 48.750 (47.826) Prec@5 80.000 (78.237) Epoch: [51][5400/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.1594 (2.0221) Prec@1 43.750 (47.825) Prec@5 80.000 (78.238) Epoch: [51][5410/11272] Time 0.887 (0.802) Data 0.002 (0.002) Loss 1.7710 (2.0222) Prec@1 55.625 (47.825) Prec@5 81.875 (78.237) Epoch: [51][5420/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 1.8816 (2.0223) Prec@1 51.875 (47.822) Prec@5 80.000 (78.238) Epoch: [51][5430/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 1.9717 (2.0224) Prec@1 51.250 (47.820) Prec@5 80.625 (78.237) Epoch: [51][5440/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 2.2419 (2.0223) Prec@1 44.375 (47.823) Prec@5 75.625 (78.238) Epoch: [51][5450/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 2.1946 (2.0223) Prec@1 45.625 (47.820) Prec@5 75.000 (78.239) Epoch: [51][5460/11272] Time 0.884 (0.802) Data 0.001 (0.002) Loss 2.0172 (2.0223) Prec@1 56.875 (47.822) Prec@5 80.000 (78.241) Epoch: [51][5470/11272] Time 0.775 (0.801) Data 0.002 (0.002) Loss 1.7966 (2.0222) Prec@1 54.375 (47.824) Prec@5 83.750 (78.242) Epoch: [51][5480/11272] Time 0.886 (0.802) Data 0.002 (0.002) Loss 1.8514 (2.0221) Prec@1 51.250 (47.825) Prec@5 80.625 (78.244) Epoch: [51][5490/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 1.9921 (2.0222) Prec@1 46.250 (47.821) Prec@5 80.000 (78.245) Epoch: [51][5500/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 1.9353 (2.0221) Prec@1 51.875 (47.823) Prec@5 80.625 (78.246) Epoch: [51][5510/11272] Time 0.737 (0.801) Data 0.001 (0.002) Loss 2.3871 (2.0221) Prec@1 41.875 (47.821) Prec@5 70.625 (78.248) Epoch: [51][5520/11272] Time 0.876 (0.801) Data 0.002 (0.002) Loss 2.0893 (2.0224) Prec@1 44.375 (47.815) Prec@5 79.375 (78.244) Epoch: [51][5530/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 1.8032 (2.0223) Prec@1 48.750 (47.816) Prec@5 85.000 (78.244) Epoch: [51][5540/11272] Time 0.765 (0.802) Data 0.002 (0.002) Loss 2.2024 (2.0225) Prec@1 46.250 (47.813) Prec@5 72.500 (78.242) Epoch: [51][5550/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 1.9683 (2.0226) Prec@1 48.750 (47.809) Prec@5 76.875 (78.238) Epoch: [51][5560/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.2597 (2.0226) Prec@1 44.375 (47.810) Prec@5 75.625 (78.237) Epoch: [51][5570/11272] Time 0.814 (0.802) Data 0.001 (0.002) Loss 1.8433 (2.0226) Prec@1 49.375 (47.809) Prec@5 82.500 (78.238) Epoch: [51][5580/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.3449 (2.0227) Prec@1 34.375 (47.806) Prec@5 76.250 (78.238) Epoch: [51][5590/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.6311 (2.0226) Prec@1 55.625 (47.805) Prec@5 85.000 (78.242) Epoch: [51][5600/11272] Time 0.861 (0.802) Data 0.001 (0.002) Loss 1.5514 (2.0226) Prec@1 59.375 (47.804) Prec@5 86.875 (78.242) Epoch: [51][5610/11272] Time 0.804 (0.802) Data 0.001 (0.002) Loss 1.8986 (2.0226) Prec@1 46.250 (47.805) Prec@5 81.250 (78.243) Epoch: [51][5620/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 2.1111 (2.0226) Prec@1 46.250 (47.805) Prec@5 77.500 (78.241) Epoch: [51][5630/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 2.1732 (2.0227) Prec@1 41.250 (47.804) Prec@5 72.500 (78.241) Epoch: [51][5640/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.1307 (2.0228) Prec@1 41.875 (47.801) Prec@5 75.625 (78.240) Epoch: [51][5650/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 2.1443 (2.0228) Prec@1 45.625 (47.804) Prec@5 78.125 (78.241) Epoch: [51][5660/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.2630 (2.0228) Prec@1 44.375 (47.803) Prec@5 72.500 (78.242) Epoch: [51][5670/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 2.0498 (2.0227) Prec@1 46.875 (47.804) Prec@5 78.125 (78.244) Epoch: [51][5680/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 2.1195 (2.0228) Prec@1 45.000 (47.801) Prec@5 74.375 (78.243) Epoch: [51][5690/11272] Time 0.774 (0.802) Data 0.002 (0.002) Loss 2.2040 (2.0229) Prec@1 46.875 (47.802) Prec@5 75.625 (78.242) Epoch: [51][5700/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 2.1967 (2.0229) Prec@1 37.500 (47.800) Prec@5 78.125 (78.241) Epoch: [51][5710/11272] Time 0.806 (0.802) Data 0.001 (0.002) Loss 1.9407 (2.0230) Prec@1 53.125 (47.800) Prec@5 78.750 (78.240) Epoch: [51][5720/11272] Time 0.858 (0.802) Data 0.001 (0.002) Loss 2.1812 (2.0230) Prec@1 43.125 (47.798) Prec@5 73.125 (78.241) Epoch: [51][5730/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 2.1338 (2.0231) Prec@1 46.875 (47.796) Prec@5 76.250 (78.241) Epoch: [51][5740/11272] Time 0.708 (0.802) Data 0.001 (0.002) Loss 1.9390 (2.0230) Prec@1 47.500 (47.800) Prec@5 81.250 (78.241) Epoch: [51][5750/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 1.9442 (2.0229) Prec@1 48.750 (47.802) Prec@5 77.500 (78.243) Epoch: [51][5760/11272] Time 0.771 (0.802) Data 0.001 (0.002) Loss 1.9080 (2.0228) Prec@1 48.750 (47.804) Prec@5 81.875 (78.244) Epoch: [51][5770/11272] Time 0.730 (0.802) Data 0.001 (0.002) Loss 2.1795 (2.0229) Prec@1 44.375 (47.803) Prec@5 72.500 (78.242) Epoch: [51][5780/11272] Time 0.855 (0.802) Data 0.002 (0.002) Loss 2.1335 (2.0228) Prec@1 50.625 (47.802) Prec@5 77.500 (78.243) Epoch: [51][5790/11272] Time 0.887 (0.802) Data 0.001 (0.002) Loss 2.1484 (2.0230) Prec@1 47.500 (47.802) Prec@5 81.250 (78.241) Epoch: [51][5800/11272] Time 0.730 (0.802) Data 0.001 (0.002) Loss 1.8180 (2.0230) Prec@1 53.750 (47.803) Prec@5 80.000 (78.242) Epoch: [51][5810/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.2571 (2.0230) Prec@1 41.250 (47.799) Prec@5 76.875 (78.241) Epoch: [51][5820/11272] Time 0.874 (0.802) Data 0.002 (0.002) Loss 2.1683 (2.0231) Prec@1 41.875 (47.797) Prec@5 72.500 (78.240) Epoch: [51][5830/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 2.0369 (2.0231) Prec@1 45.000 (47.793) Prec@5 78.125 (78.239) Epoch: [51][5840/11272] Time 0.780 (0.802) Data 0.002 (0.002) Loss 2.1329 (2.0234) Prec@1 46.875 (47.788) Prec@5 75.625 (78.235) Epoch: [51][5850/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.8208 (2.0233) Prec@1 54.375 (47.788) Prec@5 82.500 (78.237) Epoch: [51][5860/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 1.8301 (2.0232) Prec@1 58.125 (47.791) Prec@5 81.250 (78.240) Epoch: [51][5870/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.2642 (2.0232) Prec@1 43.750 (47.789) Prec@5 68.125 (78.239) Epoch: [51][5880/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.3491 (2.0232) Prec@1 45.000 (47.789) Prec@5 70.625 (78.239) Epoch: [51][5890/11272] Time 0.827 (0.802) Data 0.002 (0.002) Loss 1.9559 (2.0232) Prec@1 46.250 (47.787) Prec@5 78.750 (78.239) Epoch: [51][5900/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.1628 (2.0233) Prec@1 49.375 (47.786) Prec@5 75.000 (78.236) Epoch: [51][5910/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.8667 (2.0233) Prec@1 50.000 (47.787) Prec@5 82.500 (78.238) Epoch: [51][5920/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.2105 (2.0233) Prec@1 42.500 (47.785) Prec@5 76.250 (78.237) Epoch: [51][5930/11272] Time 0.854 (0.802) Data 0.001 (0.002) Loss 1.9796 (2.0232) Prec@1 46.250 (47.786) Prec@5 80.625 (78.239) Epoch: [51][5940/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 2.0539 (2.0233) Prec@1 41.875 (47.781) Prec@5 78.125 (78.236) Epoch: [51][5950/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.1658 (2.0235) Prec@1 45.000 (47.778) Prec@5 75.625 (78.232) Epoch: [51][5960/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 1.9553 (2.0236) Prec@1 48.750 (47.777) Prec@5 79.375 (78.228) Epoch: [51][5970/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 1.8394 (2.0235) Prec@1 48.750 (47.777) Prec@5 83.750 (78.232) Epoch: [51][5980/11272] Time 0.836 (0.802) Data 0.001 (0.002) Loss 1.9154 (2.0234) Prec@1 47.500 (47.777) Prec@5 82.500 (78.232) Epoch: [51][5990/11272] Time 0.790 (0.802) Data 0.002 (0.002) Loss 1.9831 (2.0235) Prec@1 49.375 (47.777) Prec@5 77.500 (78.232) Epoch: [51][6000/11272] Time 0.724 (0.802) Data 0.002 (0.002) Loss 2.0778 (2.0235) Prec@1 45.000 (47.780) Prec@5 73.750 (78.231) Epoch: [51][6010/11272] Time 0.869 (0.802) Data 0.002 (0.002) Loss 1.9213 (2.0236) Prec@1 51.875 (47.778) Prec@5 80.000 (78.229) Epoch: [51][6020/11272] Time 0.770 (0.802) Data 0.004 (0.002) Loss 2.1646 (2.0235) Prec@1 39.375 (47.779) Prec@5 75.625 (78.231) Epoch: [51][6030/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.2457 (2.0235) Prec@1 42.500 (47.778) Prec@5 72.500 (78.232) Epoch: [51][6040/11272] Time 0.906 (0.802) Data 0.002 (0.002) Loss 2.0209 (2.0234) Prec@1 52.500 (47.779) Prec@5 77.500 (78.232) Epoch: [51][6050/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 2.2559 (2.0236) Prec@1 41.875 (47.774) Prec@5 73.750 (78.231) Epoch: [51][6060/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 2.1127 (2.0235) Prec@1 47.500 (47.773) Prec@5 78.125 (78.230) Epoch: [51][6070/11272] Time 0.733 (0.802) Data 0.001 (0.002) Loss 2.1711 (2.0237) Prec@1 44.375 (47.773) Prec@5 76.250 (78.227) Epoch: [51][6080/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 2.0200 (2.0238) Prec@1 49.375 (47.773) Prec@5 77.500 (78.224) Epoch: [51][6090/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 2.0131 (2.0238) Prec@1 46.875 (47.772) Prec@5 80.625 (78.225) Epoch: [51][6100/11272] Time 0.751 (0.802) Data 0.001 (0.002) Loss 2.0081 (2.0237) Prec@1 45.625 (47.772) Prec@5 80.000 (78.227) Epoch: [51][6110/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 1.7662 (2.0238) Prec@1 58.125 (47.773) Prec@5 82.500 (78.229) Epoch: [51][6120/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.2303 (2.0237) Prec@1 46.250 (47.774) Prec@5 75.000 (78.231) Epoch: [51][6130/11272] Time 0.901 (0.802) Data 0.002 (0.002) Loss 2.0370 (2.0237) Prec@1 45.000 (47.773) Prec@5 76.250 (78.230) Epoch: [51][6140/11272] Time 0.744 (0.802) Data 0.001 (0.002) Loss 2.2416 (2.0238) Prec@1 41.250 (47.769) Prec@5 74.375 (78.229) Epoch: [51][6150/11272] Time 0.838 (0.802) Data 0.002 (0.002) Loss 1.9588 (2.0238) Prec@1 46.875 (47.770) Prec@5 80.000 (78.229) Epoch: [51][6160/11272] Time 0.850 (0.802) Data 0.002 (0.002) Loss 2.1454 (2.0239) Prec@1 46.250 (47.771) Prec@5 72.500 (78.226) Epoch: [51][6170/11272] Time 0.752 (0.802) Data 0.001 (0.002) Loss 1.8373 (2.0238) Prec@1 48.750 (47.770) Prec@5 84.375 (78.228) Epoch: [51][6180/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 1.9473 (2.0238) Prec@1 50.000 (47.773) Prec@5 78.750 (78.230) Epoch: [51][6190/11272] Time 0.865 (0.802) Data 0.001 (0.002) Loss 2.1294 (2.0237) Prec@1 43.750 (47.775) Prec@5 73.750 (78.233) Epoch: [51][6200/11272] Time 0.862 (0.802) Data 0.002 (0.002) Loss 1.9944 (2.0236) Prec@1 45.000 (47.777) Prec@5 78.750 (78.236) Epoch: [51][6210/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 1.9716 (2.0236) Prec@1 46.250 (47.778) Prec@5 74.375 (78.236) Epoch: [51][6220/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 2.1752 (2.0237) Prec@1 49.375 (47.779) Prec@5 71.875 (78.234) Epoch: [51][6230/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 2.1744 (2.0237) Prec@1 43.750 (47.779) Prec@5 76.875 (78.231) Epoch: [51][6240/11272] Time 0.860 (0.802) Data 0.002 (0.002) Loss 1.9994 (2.0237) Prec@1 45.625 (47.778) Prec@5 80.000 (78.232) Epoch: [51][6250/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 2.2392 (2.0237) Prec@1 39.375 (47.778) Prec@5 76.250 (78.233) Epoch: [51][6260/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 2.1125 (2.0237) Prec@1 43.125 (47.776) Prec@5 76.250 (78.232) Epoch: [51][6270/11272] Time 0.833 (0.802) Data 0.002 (0.002) Loss 2.0241 (2.0238) Prec@1 46.250 (47.776) Prec@5 78.750 (78.229) Epoch: [51][6280/11272] Time 0.735 (0.802) Data 0.004 (0.002) Loss 2.2000 (2.0240) Prec@1 45.625 (47.773) Prec@5 78.125 (78.227) Epoch: [51][6290/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.0515 (2.0240) Prec@1 50.625 (47.775) Prec@5 80.000 (78.227) Epoch: [51][6300/11272] Time 0.884 (0.802) Data 0.002 (0.002) Loss 2.1561 (2.0240) Prec@1 40.625 (47.775) Prec@5 78.125 (78.228) Epoch: [51][6310/11272] Time 0.842 (0.802) Data 0.002 (0.002) Loss 1.9605 (2.0240) Prec@1 50.000 (47.776) Prec@5 79.375 (78.227) Epoch: [51][6320/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 2.0450 (2.0240) Prec@1 49.375 (47.776) Prec@5 75.625 (78.227) Epoch: [51][6330/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 1.8847 (2.0239) Prec@1 50.000 (47.778) Prec@5 76.875 (78.229) Epoch: [51][6340/11272] Time 0.864 (0.802) Data 0.001 (0.002) Loss 2.3975 (2.0241) Prec@1 44.375 (47.778) Prec@5 70.000 (78.226) Epoch: [51][6350/11272] Time 0.851 (0.802) Data 0.001 (0.002) Loss 1.9856 (2.0242) Prec@1 50.000 (47.777) Prec@5 80.625 (78.224) Epoch: [51][6360/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 2.1025 (2.0242) Prec@1 46.875 (47.775) Prec@5 78.125 (78.223) Epoch: [51][6370/11272] Time 0.719 (0.802) Data 0.001 (0.002) Loss 2.0696 (2.0244) Prec@1 45.625 (47.773) Prec@5 75.625 (78.221) Epoch: [51][6380/11272] Time 0.854 (0.802) Data 0.001 (0.002) Loss 2.0852 (2.0244) Prec@1 40.000 (47.771) Prec@5 81.250 (78.223) Epoch: [51][6390/11272] Time 0.866 (0.802) Data 0.001 (0.002) Loss 2.0883 (2.0245) Prec@1 46.875 (47.767) Prec@5 79.375 (78.222) Epoch: [51][6400/11272] Time 0.792 (0.802) Data 0.002 (0.002) Loss 2.0251 (2.0244) Prec@1 48.750 (47.767) Prec@5 78.125 (78.224) Epoch: [51][6410/11272] Time 0.809 (0.802) Data 0.001 (0.002) Loss 2.1646 (2.0244) Prec@1 49.375 (47.767) Prec@5 76.250 (78.225) Epoch: [51][6420/11272] Time 0.862 (0.802) Data 0.002 (0.002) Loss 2.4866 (2.0245) Prec@1 38.750 (47.768) Prec@5 73.125 (78.223) Epoch: [51][6430/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.1176 (2.0245) Prec@1 38.750 (47.765) Prec@5 78.750 (78.221) Epoch: [51][6440/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.0531 (2.0244) Prec@1 46.875 (47.766) Prec@5 80.000 (78.225) Epoch: [51][6450/11272] Time 0.929 (0.802) Data 0.002 (0.002) Loss 2.1728 (2.0245) Prec@1 46.250 (47.766) Prec@5 75.625 (78.223) Epoch: [51][6460/11272] Time 0.873 (0.802) Data 0.002 (0.002) Loss 2.0586 (2.0245) Prec@1 46.250 (47.764) Prec@5 80.000 (78.224) Epoch: [51][6470/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.0206 (2.0245) Prec@1 49.375 (47.765) Prec@5 73.750 (78.224) Epoch: [51][6480/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 2.2662 (2.0246) Prec@1 46.250 (47.761) Prec@5 76.250 (78.222) Epoch: [51][6490/11272] Time 0.858 (0.802) Data 0.001 (0.002) Loss 1.8868 (2.0247) Prec@1 55.000 (47.761) Prec@5 78.750 (78.221) Epoch: [51][6500/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 2.1057 (2.0247) Prec@1 50.000 (47.761) Prec@5 77.500 (78.220) Epoch: [51][6510/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 1.8847 (2.0247) Prec@1 54.375 (47.763) Prec@5 76.875 (78.220) Epoch: [51][6520/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.1046 (2.0248) Prec@1 48.125 (47.759) Prec@5 76.875 (78.218) Epoch: [51][6530/11272] Time 0.839 (0.802) Data 0.002 (0.002) Loss 2.1440 (2.0248) Prec@1 48.750 (47.764) Prec@5 78.750 (78.219) Epoch: [51][6540/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.1322 (2.0247) Prec@1 48.750 (47.765) Prec@5 74.375 (78.220) Epoch: [51][6550/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.1206 (2.0246) Prec@1 46.250 (47.766) Prec@5 74.375 (78.220) Epoch: [51][6560/11272] Time 0.866 (0.802) Data 0.001 (0.002) Loss 1.9843 (2.0246) Prec@1 50.000 (47.767) Prec@5 78.125 (78.223) Epoch: [51][6570/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 1.9739 (2.0246) Prec@1 45.000 (47.765) Prec@5 79.375 (78.220) Epoch: [51][6580/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 1.9919 (2.0246) Prec@1 50.000 (47.765) Prec@5 77.500 (78.219) Epoch: [51][6590/11272] Time 0.741 (0.802) Data 0.001 (0.002) Loss 2.0028 (2.0247) Prec@1 51.250 (47.763) Prec@5 80.000 (78.219) Epoch: [51][6600/11272] Time 0.899 (0.802) Data 0.002 (0.002) Loss 1.9775 (2.0247) Prec@1 50.625 (47.763) Prec@5 80.625 (78.220) Epoch: [51][6610/11272] Time 0.849 (0.802) Data 0.002 (0.002) Loss 1.8526 (2.0247) Prec@1 51.875 (47.764) Prec@5 81.250 (78.221) Epoch: [51][6620/11272] Time 0.752 (0.802) Data 0.001 (0.002) Loss 1.8007 (2.0247) Prec@1 51.250 (47.763) Prec@5 81.250 (78.221) Epoch: [51][6630/11272] Time 0.745 (0.802) Data 0.001 (0.002) Loss 1.8846 (2.0247) Prec@1 49.375 (47.762) Prec@5 78.750 (78.221) Epoch: [51][6640/11272] Time 0.919 (0.802) Data 0.002 (0.002) Loss 1.8583 (2.0248) Prec@1 56.875 (47.762) Prec@5 79.375 (78.219) Epoch: [51][6650/11272] Time 0.840 (0.802) Data 0.002 (0.002) Loss 2.0009 (2.0248) Prec@1 45.625 (47.763) Prec@5 78.125 (78.219) Epoch: [51][6660/11272] Time 0.723 (0.802) Data 0.002 (0.002) Loss 1.9378 (2.0249) Prec@1 46.250 (47.763) Prec@5 78.125 (78.217) Epoch: [51][6670/11272] Time 0.711 (0.802) Data 0.001 (0.002) Loss 1.9154 (2.0248) Prec@1 51.875 (47.763) Prec@5 79.375 (78.218) Epoch: [51][6680/11272] Time 0.870 (0.802) Data 0.002 (0.002) Loss 1.9044 (2.0249) Prec@1 45.625 (47.760) Prec@5 85.000 (78.218) Epoch: [51][6690/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 1.8952 (2.0251) Prec@1 50.000 (47.753) Prec@5 78.125 (78.213) Epoch: [51][6700/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 2.0859 (2.0252) Prec@1 41.875 (47.750) Prec@5 76.250 (78.211) Epoch: [51][6710/11272] Time 0.902 (0.802) Data 0.002 (0.002) Loss 1.7863 (2.0252) Prec@1 57.500 (47.750) Prec@5 79.375 (78.210) Epoch: [51][6720/11272] Time 0.892 (0.802) Data 0.003 (0.002) Loss 2.1573 (2.0252) Prec@1 45.625 (47.751) Prec@5 75.000 (78.209) Epoch: [51][6730/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 2.1122 (2.0252) Prec@1 44.375 (47.750) Prec@5 81.250 (78.210) Epoch: [51][6740/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 2.3032 (2.0254) Prec@1 43.125 (47.747) Prec@5 74.375 (78.209) Epoch: [51][6750/11272] Time 0.821 (0.802) Data 0.001 (0.002) Loss 1.8384 (2.0255) Prec@1 56.250 (47.746) Prec@5 82.500 (78.206) Epoch: [51][6760/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 1.8636 (2.0255) Prec@1 53.750 (47.746) Prec@5 78.125 (78.205) Epoch: [51][6770/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 1.9369 (2.0255) Prec@1 48.125 (47.745) Prec@5 79.375 (78.206) Epoch: [51][6780/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 2.2939 (2.0256) Prec@1 42.500 (47.743) Prec@5 71.875 (78.202) Epoch: [51][6790/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 2.0598 (2.0257) Prec@1 44.375 (47.741) Prec@5 79.375 (78.202) Epoch: [51][6800/11272] Time 0.823 (0.802) Data 0.001 (0.002) Loss 1.9922 (2.0257) Prec@1 46.250 (47.738) Prec@5 80.000 (78.201) Epoch: [51][6810/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 2.3674 (2.0258) Prec@1 39.375 (47.738) Prec@5 70.625 (78.199) Epoch: [51][6820/11272] Time 0.891 (0.802) Data 0.002 (0.002) Loss 2.1522 (2.0258) Prec@1 46.250 (47.740) Prec@5 77.500 (78.200) Epoch: [51][6830/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 1.9652 (2.0258) Prec@1 50.625 (47.739) Prec@5 81.250 (78.201) Epoch: [51][6840/11272] Time 0.743 (0.802) Data 0.001 (0.002) Loss 2.0377 (2.0260) Prec@1 47.500 (47.735) Prec@5 77.500 (78.200) Epoch: [51][6850/11272] Time 0.776 (0.802) Data 0.001 (0.002) Loss 2.0516 (2.0260) Prec@1 49.375 (47.736) Prec@5 79.375 (78.199) Epoch: [51][6860/11272] Time 0.869 (0.802) Data 0.001 (0.002) Loss 2.1458 (2.0261) Prec@1 44.375 (47.735) Prec@5 79.375 (78.198) Epoch: [51][6870/11272] Time 0.786 (0.802) Data 0.001 (0.002) Loss 1.7271 (2.0261) Prec@1 51.875 (47.737) Prec@5 85.000 (78.199) Epoch: [51][6880/11272] Time 0.767 (0.802) Data 0.002 (0.002) Loss 2.1783 (2.0260) Prec@1 45.000 (47.738) Prec@5 76.875 (78.199) Epoch: [51][6890/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.9488 (2.0261) Prec@1 48.125 (47.738) Prec@5 76.875 (78.196) Epoch: [51][6900/11272] Time 0.852 (0.802) Data 0.001 (0.002) Loss 1.9210 (2.0261) Prec@1 48.750 (47.734) Prec@5 79.375 (78.197) Epoch: [51][6910/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 2.0363 (2.0262) Prec@1 48.125 (47.733) Prec@5 80.000 (78.196) Epoch: [51][6920/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.0978 (2.0263) Prec@1 46.875 (47.730) Prec@5 78.750 (78.194) Epoch: [51][6930/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 1.9773 (2.0265) Prec@1 49.375 (47.725) Prec@5 78.125 (78.191) Epoch: [51][6940/11272] Time 0.881 (0.802) Data 0.002 (0.002) Loss 2.0263 (2.0266) Prec@1 49.375 (47.723) Prec@5 80.625 (78.190) Epoch: [51][6950/11272] Time 0.735 (0.802) Data 0.003 (0.002) Loss 2.1061 (2.0268) Prec@1 43.750 (47.723) Prec@5 76.875 (78.188) Epoch: [51][6960/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.1554 (2.0267) Prec@1 43.125 (47.726) Prec@5 78.125 (78.189) Epoch: [51][6970/11272] Time 0.853 (0.802) Data 0.001 (0.002) Loss 2.1612 (2.0267) Prec@1 41.875 (47.726) Prec@5 74.375 (78.188) Epoch: [51][6980/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 2.1569 (2.0267) Prec@1 42.500 (47.727) Prec@5 77.500 (78.188) Epoch: [51][6990/11272] Time 0.747 (0.802) Data 0.001 (0.002) Loss 2.1395 (2.0267) Prec@1 46.250 (47.726) Prec@5 78.125 (78.188) Epoch: [51][7000/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 1.9202 (2.0268) Prec@1 45.625 (47.723) Prec@5 80.000 (78.188) Epoch: [51][7010/11272] Time 0.853 (0.802) Data 0.001 (0.002) Loss 1.9647 (2.0269) Prec@1 45.000 (47.720) Prec@5 80.000 (78.186) Epoch: [51][7020/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 1.9415 (2.0268) Prec@1 52.500 (47.721) Prec@5 78.125 (78.185) Epoch: [51][7030/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 1.8784 (2.0268) Prec@1 47.500 (47.724) Prec@5 81.250 (78.186) Epoch: [51][7040/11272] Time 0.792 (0.802) Data 0.002 (0.002) Loss 1.9717 (2.0267) Prec@1 53.750 (47.726) Prec@5 73.750 (78.188) Epoch: [51][7050/11272] Time 0.823 (0.802) Data 0.001 (0.002) Loss 2.3800 (2.0268) Prec@1 43.750 (47.722) Prec@5 70.625 (78.184) Epoch: [51][7060/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 1.8093 (2.0268) Prec@1 50.625 (47.723) Prec@5 82.500 (78.185) Epoch: [51][7070/11272] Time 0.715 (0.802) Data 0.002 (0.002) Loss 2.1946 (2.0268) Prec@1 45.000 (47.723) Prec@5 73.125 (78.183) Epoch: [51][7080/11272] Time 0.921 (0.802) Data 0.001 (0.002) Loss 1.8394 (2.0267) Prec@1 48.125 (47.724) Prec@5 86.250 (78.184) Epoch: [51][7090/11272] Time 0.855 (0.802) Data 0.002 (0.002) Loss 1.8616 (2.0267) Prec@1 50.625 (47.726) Prec@5 80.625 (78.183) Epoch: [51][7100/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.0080 (2.0269) Prec@1 45.000 (47.721) Prec@5 78.750 (78.180) Epoch: [51][7110/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 2.0589 (2.0268) Prec@1 43.750 (47.723) Prec@5 75.000 (78.179) Epoch: [51][7120/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 2.0294 (2.0268) Prec@1 45.625 (47.723) Prec@5 76.250 (78.178) Epoch: [51][7130/11272] Time 0.844 (0.802) Data 0.001 (0.002) Loss 2.1278 (2.0268) Prec@1 42.500 (47.722) Prec@5 76.875 (78.179) Epoch: [51][7140/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 2.0915 (2.0268) Prec@1 38.750 (47.720) Prec@5 79.375 (78.179) Epoch: [51][7150/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 2.4136 (2.0268) Prec@1 36.875 (47.721) Prec@5 69.375 (78.178) Epoch: [51][7160/11272] Time 0.895 (0.802) Data 0.001 (0.002) Loss 2.0519 (2.0269) Prec@1 50.000 (47.721) Prec@5 76.250 (78.177) Epoch: [51][7170/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 1.8753 (2.0269) Prec@1 51.250 (47.722) Prec@5 81.875 (78.177) Epoch: [51][7180/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.1468 (2.0269) Prec@1 43.125 (47.720) Prec@5 76.875 (78.176) Epoch: [51][7190/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.0013 (2.0269) Prec@1 51.250 (47.721) Prec@5 81.875 (78.176) Epoch: [51][7200/11272] Time 0.871 (0.802) Data 0.002 (0.002) Loss 1.9250 (2.0269) Prec@1 49.375 (47.720) Prec@5 81.875 (78.176) Epoch: [51][7210/11272] Time 0.755 (0.802) Data 0.003 (0.002) Loss 2.2615 (2.0270) Prec@1 44.375 (47.720) Prec@5 75.625 (78.176) Epoch: [51][7220/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 2.0463 (2.0270) Prec@1 48.750 (47.718) Prec@5 78.125 (78.175) Epoch: [51][7230/11272] Time 0.894 (0.802) Data 0.002 (0.002) Loss 2.3266 (2.0271) Prec@1 40.000 (47.715) Prec@5 72.500 (78.173) Epoch: [51][7240/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 2.1040 (2.0271) Prec@1 44.375 (47.716) Prec@5 81.875 (78.173) Epoch: [51][7250/11272] Time 0.747 (0.802) Data 0.001 (0.002) Loss 1.9989 (2.0271) Prec@1 54.375 (47.716) Prec@5 76.875 (78.172) Epoch: [51][7260/11272] Time 0.711 (0.802) Data 0.001 (0.002) Loss 2.0889 (2.0271) Prec@1 49.375 (47.716) Prec@5 78.750 (78.173) Epoch: [51][7270/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 2.0125 (2.0272) Prec@1 47.500 (47.715) Prec@5 80.625 (78.171) Epoch: [51][7280/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 2.0381 (2.0273) Prec@1 45.000 (47.712) Prec@5 79.375 (78.170) Epoch: [51][7290/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 1.8792 (2.0272) Prec@1 55.000 (47.714) Prec@5 80.000 (78.172) Epoch: [51][7300/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 1.9796 (2.0272) Prec@1 53.125 (47.715) Prec@5 79.375 (78.171) Epoch: [51][7310/11272] Time 0.849 (0.802) Data 0.001 (0.002) Loss 1.9906 (2.0273) Prec@1 48.750 (47.714) Prec@5 78.750 (78.171) Epoch: [51][7320/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 2.0749 (2.0274) Prec@1 55.000 (47.712) Prec@5 77.500 (78.169) Epoch: [51][7330/11272] Time 0.706 (0.802) Data 0.001 (0.002) Loss 1.7939 (2.0274) Prec@1 56.250 (47.713) Prec@5 81.250 (78.171) Epoch: [51][7340/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 2.0597 (2.0273) Prec@1 45.625 (47.714) Prec@5 78.125 (78.171) Epoch: [51][7350/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 2.0255 (2.0273) Prec@1 52.500 (47.717) Prec@5 76.250 (78.169) Epoch: [51][7360/11272] Time 0.734 (0.802) Data 0.001 (0.002) Loss 2.1015 (2.0274) Prec@1 48.125 (47.715) Prec@5 75.000 (78.166) Epoch: [51][7370/11272] Time 0.776 (0.802) Data 0.001 (0.002) Loss 2.1437 (2.0275) Prec@1 45.625 (47.712) Prec@5 74.375 (78.166) Epoch: [51][7380/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.2228 (2.0276) Prec@1 40.625 (47.712) Prec@5 76.250 (78.164) Epoch: [51][7390/11272] Time 0.815 (0.802) Data 0.001 (0.002) Loss 2.1209 (2.0277) Prec@1 48.125 (47.711) Prec@5 75.625 (78.162) Epoch: [51][7400/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.2266 (2.0278) Prec@1 42.500 (47.707) Prec@5 71.875 (78.160) Epoch: [51][7410/11272] Time 0.712 (0.802) Data 0.001 (0.002) Loss 2.1987 (2.0279) Prec@1 43.750 (47.704) Prec@5 71.875 (78.159) Epoch: [51][7420/11272] Time 0.883 (0.802) Data 0.002 (0.002) Loss 2.1476 (2.0278) Prec@1 43.750 (47.705) Prec@5 75.000 (78.159) Epoch: [51][7430/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 1.9022 (2.0278) Prec@1 49.375 (47.704) Prec@5 80.625 (78.158) Epoch: [51][7440/11272] Time 0.773 (0.802) Data 0.002 (0.002) Loss 1.8542 (2.0277) Prec@1 50.625 (47.706) Prec@5 83.750 (78.160) Epoch: [51][7450/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.8194 (2.0277) Prec@1 52.500 (47.706) Prec@5 82.500 (78.161) Epoch: [51][7460/11272] Time 0.904 (0.802) Data 0.002 (0.002) Loss 2.2012 (2.0278) Prec@1 41.250 (47.706) Prec@5 76.250 (78.161) Epoch: [51][7470/11272] Time 0.817 (0.802) Data 0.002 (0.002) Loss 2.0292 (2.0278) Prec@1 48.125 (47.706) Prec@5 76.875 (78.161) Epoch: [51][7480/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 2.1412 (2.0278) Prec@1 44.375 (47.704) Prec@5 78.125 (78.161) Epoch: [51][7490/11272] Time 0.813 (0.802) Data 0.001 (0.002) Loss 2.0278 (2.0279) Prec@1 55.625 (47.702) Prec@5 78.750 (78.159) Epoch: [51][7500/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.2196 (2.0280) Prec@1 45.625 (47.701) Prec@5 81.250 (78.159) Epoch: [51][7510/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 2.0913 (2.0279) Prec@1 43.125 (47.703) Prec@5 74.375 (78.157) Epoch: [51][7520/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 1.9861 (2.0279) Prec@1 48.125 (47.704) Prec@5 77.500 (78.158) Epoch: [51][7530/11272] Time 0.864 (0.802) Data 0.002 (0.002) Loss 1.8862 (2.0278) Prec@1 54.375 (47.708) Prec@5 79.375 (78.159) Epoch: [51][7540/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 2.0840 (2.0278) Prec@1 44.375 (47.706) Prec@5 80.000 (78.159) Epoch: [51][7550/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.0311 (2.0278) Prec@1 53.125 (47.707) Prec@5 80.000 (78.161) Epoch: [51][7560/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.0215 (2.0279) Prec@1 46.250 (47.706) Prec@5 83.125 (78.160) Epoch: [51][7570/11272] Time 0.852 (0.802) Data 0.002 (0.002) Loss 1.9165 (2.0279) Prec@1 47.500 (47.705) Prec@5 80.625 (78.160) Epoch: [51][7580/11272] Time 0.875 (0.802) Data 0.002 (0.002) Loss 1.9442 (2.0278) Prec@1 44.375 (47.705) Prec@5 81.250 (78.161) Epoch: [51][7590/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 2.1409 (2.0279) Prec@1 48.125 (47.705) Prec@5 80.625 (78.161) Epoch: [51][7600/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 1.9229 (2.0279) Prec@1 51.250 (47.704) Prec@5 83.125 (78.161) Epoch: [51][7610/11272] Time 0.817 (0.802) Data 0.001 (0.002) Loss 2.1708 (2.0280) Prec@1 44.375 (47.703) Prec@5 76.250 (78.157) Epoch: [51][7620/11272] Time 0.750 (0.802) Data 0.001 (0.002) Loss 2.1639 (2.0280) Prec@1 46.875 (47.702) Prec@5 76.250 (78.157) Epoch: [51][7630/11272] Time 0.704 (0.802) Data 0.001 (0.002) Loss 1.9583 (2.0280) Prec@1 50.000 (47.702) Prec@5 80.000 (78.158) Epoch: [51][7640/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 2.0993 (2.0280) Prec@1 41.875 (47.701) Prec@5 76.875 (78.158) Epoch: [51][7650/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.1538 (2.0280) Prec@1 41.875 (47.699) Prec@5 79.375 (78.158) Epoch: [51][7660/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 1.9781 (2.0281) Prec@1 48.125 (47.697) Prec@5 76.875 (78.155) Epoch: [51][7670/11272] Time 0.782 (0.802) Data 0.001 (0.002) Loss 2.0821 (2.0281) Prec@1 41.875 (47.696) Prec@5 76.250 (78.154) Epoch: [51][7680/11272] Time 0.833 (0.802) Data 0.002 (0.002) Loss 2.3375 (2.0281) Prec@1 45.625 (47.697) Prec@5 73.125 (78.153) Epoch: [51][7690/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 2.2052 (2.0282) Prec@1 38.750 (47.694) Prec@5 78.750 (78.152) Epoch: [51][7700/11272] Time 0.734 (0.802) Data 0.001 (0.002) Loss 2.0770 (2.0283) Prec@1 45.000 (47.694) Prec@5 76.250 (78.152) Epoch: [51][7710/11272] Time 0.705 (0.802) Data 0.001 (0.002) Loss 1.8899 (2.0283) Prec@1 52.500 (47.690) Prec@5 80.625 (78.150) Epoch: [51][7720/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 2.0473 (2.0283) Prec@1 48.750 (47.689) Prec@5 78.125 (78.149) Epoch: [51][7730/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 2.0355 (2.0283) Prec@1 46.250 (47.690) Prec@5 76.875 (78.150) Epoch: [51][7740/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 2.1721 (2.0283) Prec@1 46.875 (47.690) Prec@5 73.750 (78.152) Epoch: [51][7750/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 2.2111 (2.0283) Prec@1 45.000 (47.690) Prec@5 73.125 (78.151) Epoch: [51][7760/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 2.0868 (2.0284) Prec@1 45.000 (47.689) Prec@5 75.000 (78.149) Epoch: [51][7770/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 1.9208 (2.0284) Prec@1 53.750 (47.690) Prec@5 82.500 (78.150) Epoch: [51][7780/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 2.0865 (2.0284) Prec@1 46.250 (47.688) Prec@5 76.875 (78.149) Epoch: [51][7790/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 1.9525 (2.0285) Prec@1 50.625 (47.687) Prec@5 80.625 (78.149) Epoch: [51][7800/11272] Time 0.808 (0.802) Data 0.001 (0.002) Loss 2.1575 (2.0285) Prec@1 44.375 (47.687) Prec@5 73.750 (78.151) Epoch: [51][7810/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 1.9110 (2.0284) Prec@1 50.000 (47.688) Prec@5 80.000 (78.151) Epoch: [51][7820/11272] Time 0.766 (0.802) Data 0.002 (0.002) Loss 1.8435 (2.0284) Prec@1 50.000 (47.687) Prec@5 83.750 (78.153) Epoch: [51][7830/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.1952 (2.0284) Prec@1 46.875 (47.685) Prec@5 75.000 (78.152) Epoch: [51][7840/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 1.9209 (2.0284) Prec@1 47.500 (47.686) Prec@5 82.500 (78.153) Epoch: [51][7850/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 2.0567 (2.0283) Prec@1 46.250 (47.688) Prec@5 79.375 (78.154) Epoch: [51][7860/11272] Time 0.790 (0.802) Data 0.002 (0.002) Loss 1.9687 (2.0284) Prec@1 43.750 (47.687) Prec@5 78.125 (78.152) Epoch: [51][7870/11272] Time 0.826 (0.802) Data 0.001 (0.002) Loss 1.9633 (2.0284) Prec@1 47.500 (47.688) Prec@5 80.000 (78.150) Epoch: [51][7880/11272] Time 0.739 (0.802) Data 0.003 (0.002) Loss 2.0758 (2.0284) Prec@1 43.750 (47.686) Prec@5 76.250 (78.149) Epoch: [51][7890/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 1.8343 (2.0284) Prec@1 53.125 (47.688) Prec@5 81.875 (78.150) Epoch: [51][7900/11272] Time 0.869 (0.802) Data 0.002 (0.002) Loss 2.0069 (2.0284) Prec@1 50.625 (47.689) Prec@5 79.375 (78.151) Epoch: [51][7910/11272] Time 0.821 (0.802) Data 0.001 (0.002) Loss 2.0443 (2.0283) Prec@1 48.125 (47.689) Prec@5 77.500 (78.150) Epoch: [51][7920/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 2.1382 (2.0284) Prec@1 51.250 (47.690) Prec@5 74.375 (78.149) Epoch: [51][7930/11272] Time 0.766 (0.802) Data 0.002 (0.002) Loss 2.0684 (2.0284) Prec@1 46.875 (47.688) Prec@5 75.000 (78.148) Epoch: [51][7940/11272] Time 0.854 (0.802) Data 0.001 (0.002) Loss 1.8117 (2.0284) Prec@1 56.875 (47.688) Prec@5 81.250 (78.147) Epoch: [51][7950/11272] Time 0.831 (0.802) Data 0.001 (0.002) Loss 2.1216 (2.0285) Prec@1 46.875 (47.686) Prec@5 79.375 (78.146) Epoch: [51][7960/11272] Time 0.751 (0.802) Data 0.002 (0.002) Loss 2.0442 (2.0285) Prec@1 49.375 (47.684) Prec@5 77.500 (78.146) Epoch: [51][7970/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 1.8325 (2.0285) Prec@1 50.000 (47.684) Prec@5 78.125 (78.147) Epoch: [51][7980/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.1220 (2.0286) Prec@1 48.125 (47.682) Prec@5 75.000 (78.145) Epoch: [51][7990/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 2.2025 (2.0285) Prec@1 44.375 (47.681) Prec@5 75.625 (78.147) Epoch: [51][8000/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 2.1072 (2.0285) Prec@1 47.500 (47.681) Prec@5 78.750 (78.147) Epoch: [51][8010/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 1.9469 (2.0286) Prec@1 48.750 (47.679) Prec@5 77.500 (78.145) Epoch: [51][8020/11272] Time 0.811 (0.802) Data 0.001 (0.002) Loss 1.9818 (2.0286) Prec@1 51.875 (47.677) Prec@5 80.000 (78.144) Epoch: [51][8030/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 1.9532 (2.0286) Prec@1 48.750 (47.677) Prec@5 79.375 (78.145) Epoch: [51][8040/11272] Time 0.774 (0.802) Data 0.002 (0.002) Loss 1.9352 (2.0286) Prec@1 48.125 (47.676) Prec@5 78.125 (78.145) Epoch: [51][8050/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 1.9264 (2.0287) Prec@1 55.000 (47.676) Prec@5 79.375 (78.145) Epoch: [51][8060/11272] Time 0.876 (0.802) Data 0.001 (0.002) Loss 1.9706 (2.0286) Prec@1 53.750 (47.677) Prec@5 79.375 (78.146) Epoch: [51][8070/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 2.0680 (2.0285) Prec@1 44.375 (47.679) Prec@5 79.375 (78.149) Epoch: [51][8080/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 2.1117 (2.0286) Prec@1 48.125 (47.677) Prec@5 74.375 (78.148) Epoch: [51][8090/11272] Time 0.816 (0.802) Data 0.001 (0.002) Loss 1.9523 (2.0286) Prec@1 53.125 (47.677) Prec@5 80.000 (78.149) Epoch: [51][8100/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.0110 (2.0286) Prec@1 48.750 (47.675) Prec@5 80.000 (78.147) Epoch: [51][8110/11272] Time 0.785 (0.802) Data 0.002 (0.002) Loss 1.7741 (2.0286) Prec@1 51.875 (47.674) Prec@5 83.750 (78.149) Epoch: [51][8120/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 2.2754 (2.0286) Prec@1 38.750 (47.671) Prec@5 75.000 (78.150) Epoch: [51][8130/11272] Time 0.860 (0.802) Data 0.002 (0.002) Loss 2.1622 (2.0288) Prec@1 45.625 (47.668) Prec@5 78.125 (78.148) Epoch: [51][8140/11272] Time 0.757 (0.802) Data 0.004 (0.002) Loss 1.9664 (2.0288) Prec@1 48.125 (47.666) Prec@5 80.000 (78.147) Epoch: [51][8150/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.9011 (2.0288) Prec@1 50.000 (47.663) Prec@5 78.125 (78.146) Epoch: [51][8160/11272] Time 0.925 (0.802) Data 0.002 (0.002) Loss 2.1167 (2.0288) Prec@1 45.625 (47.665) Prec@5 75.625 (78.147) Epoch: [51][8170/11272] Time 0.862 (0.802) Data 0.002 (0.002) Loss 2.0759 (2.0288) Prec@1 50.625 (47.666) Prec@5 76.875 (78.148) Epoch: [51][8180/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 2.1260 (2.0288) Prec@1 45.625 (47.666) Prec@5 76.875 (78.150) Epoch: [51][8190/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 1.9830 (2.0288) Prec@1 52.500 (47.667) Prec@5 76.250 (78.149) Epoch: [51][8200/11272] Time 0.869 (0.802) Data 0.001 (0.002) Loss 2.1346 (2.0288) Prec@1 42.500 (47.667) Prec@5 75.000 (78.149) Epoch: [51][8210/11272] Time 0.830 (0.802) Data 0.002 (0.002) Loss 2.1305 (2.0289) Prec@1 45.000 (47.666) Prec@5 72.500 (78.148) Epoch: [51][8220/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 1.7167 (2.0288) Prec@1 54.375 (47.668) Prec@5 81.250 (78.149) Epoch: [51][8230/11272] Time 0.778 (0.802) Data 0.001 (0.002) Loss 2.2406 (2.0289) Prec@1 46.875 (47.667) Prec@5 75.000 (78.148) Epoch: [51][8240/11272] Time 0.833 (0.802) Data 0.002 (0.002) Loss 2.1706 (2.0288) Prec@1 48.125 (47.670) Prec@5 72.500 (78.148) Epoch: [51][8250/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 1.8299 (2.0289) Prec@1 52.500 (47.667) Prec@5 78.750 (78.145) Epoch: [51][8260/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 1.9011 (2.0289) Prec@1 51.250 (47.667) Prec@5 81.875 (78.144) Epoch: [51][8270/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.1910 (2.0289) Prec@1 45.000 (47.666) Prec@5 76.875 (78.144) Epoch: [51][8280/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 2.3031 (2.0289) Prec@1 46.250 (47.665) Prec@5 70.625 (78.146) Epoch: [51][8290/11272] Time 0.730 (0.802) Data 0.001 (0.002) Loss 2.2085 (2.0289) Prec@1 40.625 (47.665) Prec@5 73.750 (78.144) Epoch: [51][8300/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 2.1041 (2.0290) Prec@1 49.375 (47.665) Prec@5 76.250 (78.144) Epoch: [51][8310/11272] Time 0.845 (0.802) Data 0.001 (0.002) Loss 2.3049 (2.0290) Prec@1 40.000 (47.666) Prec@5 73.125 (78.143) Epoch: [51][8320/11272] Time 0.872 (0.802) Data 0.001 (0.002) Loss 2.3772 (2.0291) Prec@1 43.125 (47.663) Prec@5 71.875 (78.139) Epoch: [51][8330/11272] Time 0.740 (0.802) Data 0.004 (0.002) Loss 2.3374 (2.0293) Prec@1 38.750 (47.661) Prec@5 75.000 (78.140) Epoch: [51][8340/11272] Time 0.756 (0.802) Data 0.002 (0.002) Loss 2.1079 (2.0292) Prec@1 46.875 (47.660) Prec@5 74.375 (78.140) Epoch: [51][8350/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.3032 (2.0293) Prec@1 46.875 (47.662) Prec@5 71.250 (78.139) Epoch: [51][8360/11272] Time 0.934 (0.802) Data 0.002 (0.002) Loss 1.9818 (2.0293) Prec@1 48.750 (47.660) Prec@5 76.250 (78.138) Epoch: [51][8370/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 2.1855 (2.0293) Prec@1 44.375 (47.659) Prec@5 75.625 (78.138) Epoch: [51][8380/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.9788 (2.0293) Prec@1 51.250 (47.660) Prec@5 79.375 (78.139) Epoch: [51][8390/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 1.9090 (2.0292) Prec@1 48.750 (47.660) Prec@5 80.000 (78.141) Epoch: [51][8400/11272] Time 0.851 (0.802) Data 0.001 (0.002) Loss 2.1379 (2.0293) Prec@1 42.500 (47.657) Prec@5 75.625 (78.139) Epoch: [51][8410/11272] Time 0.715 (0.802) Data 0.001 (0.002) Loss 1.9068 (2.0293) Prec@1 49.375 (47.658) Prec@5 82.500 (78.141) Epoch: [51][8420/11272] Time 0.864 (0.802) Data 0.001 (0.002) Loss 1.7687 (2.0293) Prec@1 55.625 (47.657) Prec@5 80.000 (78.140) Epoch: [51][8430/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 2.4183 (2.0294) Prec@1 41.875 (47.657) Prec@5 70.000 (78.138) Epoch: [51][8440/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 2.1285 (2.0294) Prec@1 48.750 (47.658) Prec@5 74.375 (78.139) Epoch: [51][8450/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 2.0569 (2.0294) Prec@1 41.875 (47.658) Prec@5 76.250 (78.140) Epoch: [51][8460/11272] Time 0.888 (0.802) Data 0.001 (0.002) Loss 2.2110 (2.0293) Prec@1 46.250 (47.660) Prec@5 75.625 (78.140) Epoch: [51][8470/11272] Time 0.855 (0.802) Data 0.002 (0.002) Loss 2.3036 (2.0294) Prec@1 42.500 (47.659) Prec@5 71.875 (78.137) Epoch: [51][8480/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 1.9336 (2.0294) Prec@1 48.125 (47.659) Prec@5 80.625 (78.138) Epoch: [51][8490/11272] Time 0.793 (0.802) Data 0.002 (0.002) Loss 1.8731 (2.0294) Prec@1 52.500 (47.659) Prec@5 80.000 (78.137) Epoch: [51][8500/11272] Time 0.846 (0.802) Data 0.001 (0.002) Loss 1.8912 (2.0294) Prec@1 51.875 (47.658) Prec@5 81.250 (78.138) Epoch: [51][8510/11272] Time 0.827 (0.802) Data 0.001 (0.002) Loss 2.3716 (2.0295) Prec@1 44.375 (47.658) Prec@5 68.750 (78.135) Epoch: [51][8520/11272] Time 0.720 (0.802) Data 0.002 (0.002) Loss 2.0019 (2.0296) Prec@1 47.500 (47.658) Prec@5 79.375 (78.133) Epoch: [51][8530/11272] Time 0.740 (0.802) Data 0.003 (0.002) Loss 2.0409 (2.0297) Prec@1 48.125 (47.654) Prec@5 76.250 (78.131) Epoch: [51][8540/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 1.9372 (2.0296) Prec@1 48.750 (47.655) Prec@5 79.375 (78.131) Epoch: [51][8550/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 2.1206 (2.0296) Prec@1 43.750 (47.654) Prec@5 78.750 (78.131) Epoch: [51][8560/11272] Time 0.762 (0.802) Data 0.001 (0.002) Loss 1.6016 (2.0296) Prec@1 61.250 (47.654) Prec@5 84.375 (78.131) Epoch: [51][8570/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 1.8807 (2.0297) Prec@1 48.750 (47.653) Prec@5 82.500 (78.131) Epoch: [51][8580/11272] Time 0.847 (0.802) Data 0.001 (0.002) Loss 2.0820 (2.0297) Prec@1 51.875 (47.652) Prec@5 75.625 (78.130) Epoch: [51][8590/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 2.0887 (2.0299) Prec@1 42.500 (47.651) Prec@5 73.750 (78.128) Epoch: [51][8600/11272] Time 0.760 (0.802) Data 0.001 (0.002) Loss 1.8630 (2.0298) Prec@1 50.625 (47.653) Prec@5 81.250 (78.130) Epoch: [51][8610/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 1.9245 (2.0298) Prec@1 49.375 (47.653) Prec@5 77.500 (78.132) Epoch: [51][8620/11272] Time 0.847 (0.802) Data 0.002 (0.002) Loss 1.8576 (2.0298) Prec@1 48.750 (47.652) Prec@5 80.625 (78.130) Epoch: [51][8630/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 2.1769 (2.0298) Prec@1 52.500 (47.654) Prec@5 77.500 (78.130) Epoch: [51][8640/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 2.0522 (2.0298) Prec@1 47.500 (47.652) Prec@5 81.250 (78.129) Epoch: [51][8650/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.0778 (2.0299) Prec@1 51.250 (47.652) Prec@5 73.125 (78.129) Epoch: [51][8660/11272] Time 0.857 (0.802) Data 0.001 (0.002) Loss 2.3586 (2.0299) Prec@1 38.750 (47.650) Prec@5 75.625 (78.130) Epoch: [51][8670/11272] Time 0.743 (0.802) Data 0.001 (0.002) Loss 2.0855 (2.0299) Prec@1 41.875 (47.649) Prec@5 78.750 (78.129) Epoch: [51][8680/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 1.9455 (2.0299) Prec@1 51.250 (47.650) Prec@5 78.750 (78.129) Epoch: [51][8690/11272] Time 0.895 (0.802) Data 0.002 (0.002) Loss 1.7981 (2.0299) Prec@1 49.375 (47.651) Prec@5 78.125 (78.129) Epoch: [51][8700/11272] Time 0.760 (0.802) Data 0.002 (0.002) Loss 1.8463 (2.0299) Prec@1 53.750 (47.652) Prec@5 78.750 (78.129) Epoch: [51][8710/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 1.9095 (2.0300) Prec@1 52.500 (47.650) Prec@5 78.750 (78.126) Epoch: [51][8720/11272] Time 0.871 (0.802) Data 0.001 (0.002) Loss 2.1798 (2.0300) Prec@1 45.000 (47.648) Prec@5 75.000 (78.126) Epoch: [51][8730/11272] Time 0.824 (0.802) Data 0.001 (0.002) Loss 1.8074 (2.0300) Prec@1 51.250 (47.649) Prec@5 82.500 (78.126) Epoch: [51][8740/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 2.3108 (2.0300) Prec@1 43.125 (47.648) Prec@5 73.125 (78.127) Epoch: [51][8750/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 1.7779 (2.0300) Prec@1 54.375 (47.648) Prec@5 85.000 (78.127) Epoch: [51][8760/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 1.9926 (2.0299) Prec@1 49.375 (47.647) Prec@5 79.375 (78.128) Epoch: [51][8770/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 1.7510 (2.0299) Prec@1 54.375 (47.649) Prec@5 81.875 (78.126) Epoch: [51][8780/11272] Time 0.722 (0.802) Data 0.002 (0.002) Loss 2.3192 (2.0300) Prec@1 43.750 (47.647) Prec@5 70.000 (78.125) Epoch: [51][8790/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 2.0294 (2.0300) Prec@1 47.500 (47.646) Prec@5 79.375 (78.124) Epoch: [51][8800/11272] Time 0.871 (0.802) Data 0.002 (0.002) Loss 2.1794 (2.0301) Prec@1 46.250 (47.644) Prec@5 81.250 (78.124) Epoch: [51][8810/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.3108 (2.0301) Prec@1 42.500 (47.644) Prec@5 70.625 (78.124) Epoch: [51][8820/11272] Time 0.756 (0.802) Data 0.002 (0.002) Loss 2.1935 (2.0300) Prec@1 43.750 (47.644) Prec@5 72.500 (78.125) Epoch: [51][8830/11272] Time 0.835 (0.802) Data 0.002 (0.002) Loss 2.0356 (2.0300) Prec@1 46.875 (47.644) Prec@5 78.125 (78.125) Epoch: [51][8840/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.1570 (2.0301) Prec@1 45.625 (47.644) Prec@5 76.875 (78.124) Epoch: [51][8850/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 1.8573 (2.0301) Prec@1 50.000 (47.644) Prec@5 83.125 (78.124) Epoch: [51][8860/11272] Time 0.754 (0.802) Data 0.002 (0.002) Loss 2.1463 (2.0300) Prec@1 45.625 (47.646) Prec@5 76.250 (78.126) Epoch: [51][8870/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 2.1125 (2.0300) Prec@1 43.125 (47.647) Prec@5 80.000 (78.126) Epoch: [51][8880/11272] Time 0.857 (0.802) Data 0.001 (0.002) Loss 2.1332 (2.0301) Prec@1 47.500 (47.646) Prec@5 76.250 (78.126) Epoch: [51][8890/11272] Time 0.711 (0.802) Data 0.001 (0.002) Loss 1.9596 (2.0301) Prec@1 48.125 (47.647) Prec@5 81.875 (78.126) Epoch: [51][8900/11272] Time 0.724 (0.802) Data 0.002 (0.002) Loss 2.0060 (2.0300) Prec@1 48.750 (47.649) Prec@5 80.625 (78.126) Epoch: [51][8910/11272] Time 0.844 (0.802) Data 0.001 (0.002) Loss 2.0896 (2.0301) Prec@1 45.000 (47.646) Prec@5 73.750 (78.125) Epoch: [51][8920/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 1.9648 (2.0301) Prec@1 48.750 (47.647) Prec@5 80.000 (78.124) Epoch: [51][8930/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 2.2400 (2.0301) Prec@1 48.125 (47.647) Prec@5 72.500 (78.125) Epoch: [51][8940/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 2.2184 (2.0302) Prec@1 43.750 (47.647) Prec@5 76.250 (78.124) Epoch: [51][8950/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 2.1704 (2.0301) Prec@1 41.250 (47.648) Prec@5 75.000 (78.126) Epoch: [51][8960/11272] Time 0.737 (0.802) Data 0.001 (0.002) Loss 2.1623 (2.0301) Prec@1 46.875 (47.648) Prec@5 75.000 (78.125) Epoch: [51][8970/11272] Time 0.717 (0.802) Data 0.002 (0.002) Loss 2.1252 (2.0301) Prec@1 45.625 (47.649) Prec@5 81.875 (78.125) Epoch: [51][8980/11272] Time 0.865 (0.802) Data 0.001 (0.002) Loss 1.8164 (2.0301) Prec@1 50.000 (47.647) Prec@5 82.500 (78.126) Epoch: [51][8990/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 2.0884 (2.0302) Prec@1 48.125 (47.646) Prec@5 80.000 (78.126) Epoch: [51][9000/11272] Time 0.747 (0.802) Data 0.002 (0.002) Loss 1.8395 (2.0302) Prec@1 51.875 (47.645) Prec@5 78.125 (78.125) Epoch: [51][9010/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 2.0495 (2.0303) Prec@1 46.250 (47.642) Prec@5 75.000 (78.123) Epoch: [51][9020/11272] Time 0.864 (0.802) Data 0.002 (0.002) Loss 2.1046 (2.0303) Prec@1 46.875 (47.640) Prec@5 77.500 (78.123) Epoch: [51][9030/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 2.0629 (2.0304) Prec@1 46.250 (47.640) Prec@5 76.250 (78.123) Epoch: [51][9040/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.0230 (2.0304) Prec@1 48.750 (47.640) Prec@5 80.625 (78.122) Epoch: [51][9050/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 1.8993 (2.0303) Prec@1 50.625 (47.642) Prec@5 80.625 (78.123) Epoch: [51][9060/11272] Time 0.938 (0.802) Data 0.002 (0.002) Loss 2.0975 (2.0304) Prec@1 46.875 (47.639) Prec@5 73.750 (78.122) Epoch: [51][9070/11272] Time 0.730 (0.802) Data 0.003 (0.002) Loss 2.0618 (2.0304) Prec@1 45.000 (47.637) Prec@5 75.625 (78.122) Epoch: [51][9080/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 1.7965 (2.0303) Prec@1 50.000 (47.636) Prec@5 83.750 (78.124) Epoch: [51][9090/11272] Time 0.842 (0.802) Data 0.002 (0.002) Loss 2.0873 (2.0304) Prec@1 49.375 (47.635) Prec@5 76.875 (78.122) Epoch: [51][9100/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.2293 (2.0303) Prec@1 39.375 (47.636) Prec@5 76.875 (78.122) Epoch: [51][9110/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 1.8062 (2.0304) Prec@1 54.375 (47.635) Prec@5 81.875 (78.122) Epoch: [51][9120/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 2.0150 (2.0305) Prec@1 50.000 (47.634) Prec@5 81.875 (78.121) Epoch: [51][9130/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 1.9211 (2.0305) Prec@1 49.375 (47.632) Prec@5 81.875 (78.120) Epoch: [51][9140/11272] Time 0.870 (0.802) Data 0.002 (0.002) Loss 1.8489 (2.0305) Prec@1 48.125 (47.634) Prec@5 80.625 (78.122) Epoch: [51][9150/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 1.9433 (2.0304) Prec@1 50.000 (47.636) Prec@5 78.750 (78.123) Epoch: [51][9160/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.1550 (2.0305) Prec@1 46.875 (47.634) Prec@5 74.375 (78.122) Epoch: [51][9170/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 2.0516 (2.0306) Prec@1 48.125 (47.633) Prec@5 78.125 (78.121) Epoch: [51][9180/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 1.9624 (2.0306) Prec@1 46.875 (47.632) Prec@5 77.500 (78.121) Epoch: [51][9190/11272] Time 0.724 (0.802) Data 0.001 (0.002) Loss 2.3822 (2.0307) Prec@1 40.625 (47.629) Prec@5 73.125 (78.119) Epoch: [51][9200/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.2446 (2.0308) Prec@1 40.625 (47.626) Prec@5 76.250 (78.116) Epoch: [51][9210/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 2.1632 (2.0310) Prec@1 43.750 (47.625) Prec@5 73.125 (78.112) Epoch: [51][9220/11272] Time 0.742 (0.802) Data 0.001 (0.002) Loss 2.0920 (2.0309) Prec@1 45.000 (47.625) Prec@5 76.250 (78.113) Epoch: [51][9230/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 1.8759 (2.0309) Prec@1 53.750 (47.626) Prec@5 79.375 (78.112) Epoch: [51][9240/11272] Time 0.867 (0.802) Data 0.001 (0.002) Loss 2.3396 (2.0310) Prec@1 43.125 (47.624) Prec@5 78.125 (78.112) Epoch: [51][9250/11272] Time 0.837 (0.802) Data 0.001 (0.002) Loss 2.1729 (2.0310) Prec@1 45.000 (47.624) Prec@5 75.000 (78.111) Epoch: [51][9260/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 1.9188 (2.0310) Prec@1 48.125 (47.623) Prec@5 80.625 (78.111) Epoch: [51][9270/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.9625 (2.0311) Prec@1 45.625 (47.622) Prec@5 80.000 (78.110) Epoch: [51][9280/11272] Time 0.864 (0.802) Data 0.003 (0.002) Loss 1.8919 (2.0311) Prec@1 50.625 (47.620) Prec@5 80.000 (78.109) Epoch: [51][9290/11272] Time 0.831 (0.802) Data 0.002 (0.002) Loss 2.0188 (2.0311) Prec@1 47.500 (47.620) Prec@5 77.500 (78.110) Epoch: [51][9300/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.0138 (2.0311) Prec@1 48.750 (47.618) Prec@5 78.125 (78.109) Epoch: [51][9310/11272] Time 0.734 (0.802) Data 0.004 (0.002) Loss 1.9117 (2.0312) Prec@1 46.875 (47.618) Prec@5 80.625 (78.109) Epoch: [51][9320/11272] Time 0.891 (0.802) Data 0.002 (0.002) Loss 1.8674 (2.0312) Prec@1 46.875 (47.617) Prec@5 82.500 (78.107) Epoch: [51][9330/11272] Time 0.801 (0.802) Data 0.001 (0.002) Loss 2.0285 (2.0312) Prec@1 48.125 (47.618) Prec@5 76.250 (78.108) Epoch: [51][9340/11272] Time 0.768 (0.802) Data 0.001 (0.002) Loss 1.8567 (2.0312) Prec@1 48.125 (47.618) Prec@5 83.125 (78.110) Epoch: [51][9350/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.9912 (2.0312) Prec@1 50.000 (47.617) Prec@5 81.250 (78.110) Epoch: [51][9360/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 2.1184 (2.0312) Prec@1 47.500 (47.617) Prec@5 75.000 (78.109) Epoch: [51][9370/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.0057 (2.0312) Prec@1 47.500 (47.616) Prec@5 80.000 (78.107) Epoch: [51][9380/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 1.9656 (2.0312) Prec@1 51.875 (47.616) Prec@5 75.625 (78.107) Epoch: [51][9390/11272] Time 0.859 (0.802) Data 0.001 (0.002) Loss 2.1793 (2.0313) Prec@1 45.000 (47.614) Prec@5 74.375 (78.105) Epoch: [51][9400/11272] Time 0.934 (0.802) Data 0.002 (0.002) Loss 1.8537 (2.0313) Prec@1 51.250 (47.612) Prec@5 79.375 (78.104) Epoch: [51][9410/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 1.7062 (2.0313) Prec@1 54.375 (47.613) Prec@5 83.125 (78.105) Epoch: [51][9420/11272] Time 0.784 (0.802) Data 0.002 (0.002) Loss 2.0772 (2.0313) Prec@1 50.000 (47.611) Prec@5 73.750 (78.105) Epoch: [51][9430/11272] Time 0.922 (0.802) Data 0.002 (0.002) Loss 2.0481 (2.0313) Prec@1 46.875 (47.611) Prec@5 76.250 (78.105) Epoch: [51][9440/11272] Time 0.838 (0.802) Data 0.002 (0.002) Loss 1.9471 (2.0312) Prec@1 48.750 (47.613) Prec@5 80.625 (78.109) Epoch: [51][9450/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.2169 (2.0312) Prec@1 35.625 (47.613) Prec@5 73.750 (78.108) Epoch: [51][9460/11272] Time 0.811 (0.802) Data 0.001 (0.002) Loss 2.0581 (2.0312) Prec@1 48.125 (47.614) Prec@5 80.000 (78.107) Epoch: [51][9470/11272] Time 0.826 (0.802) Data 0.002 (0.002) Loss 2.1404 (2.0313) Prec@1 47.500 (47.614) Prec@5 75.625 (78.105) Epoch: [51][9480/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 1.9292 (2.0313) Prec@1 49.375 (47.612) Prec@5 78.125 (78.104) Epoch: [51][9490/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 1.9266 (2.0312) Prec@1 50.625 (47.615) Prec@5 81.875 (78.106) Epoch: [51][9500/11272] Time 0.956 (0.802) Data 0.002 (0.002) Loss 1.7794 (2.0312) Prec@1 51.250 (47.615) Prec@5 84.375 (78.105) Epoch: [51][9510/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 2.0585 (2.0312) Prec@1 48.750 (47.615) Prec@5 76.875 (78.105) Epoch: [51][9520/11272] Time 0.782 (0.802) Data 0.002 (0.002) Loss 2.2813 (2.0313) Prec@1 47.500 (47.613) Prec@5 76.250 (78.104) Epoch: [51][9530/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.8195 (2.0313) Prec@1 53.125 (47.613) Prec@5 81.875 (78.105) Epoch: [51][9540/11272] Time 0.871 (0.802) Data 0.002 (0.002) Loss 1.8946 (2.0313) Prec@1 46.875 (47.612) Prec@5 78.125 (78.104) Epoch: [51][9550/11272] Time 0.844 (0.802) Data 0.001 (0.002) Loss 1.9650 (2.0313) Prec@1 52.500 (47.611) Prec@5 76.875 (78.103) Epoch: [51][9560/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.2526 (2.0313) Prec@1 40.000 (47.610) Prec@5 73.125 (78.103) Epoch: [51][9570/11272] Time 0.713 (0.802) Data 0.002 (0.002) Loss 2.1350 (2.0314) Prec@1 45.625 (47.610) Prec@5 72.500 (78.101) Epoch: [51][9580/11272] Time 0.859 (0.802) Data 0.001 (0.002) Loss 2.1693 (2.0314) Prec@1 47.500 (47.611) Prec@5 75.625 (78.101) Epoch: [51][9590/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 1.9646 (2.0314) Prec@1 48.125 (47.611) Prec@5 80.000 (78.100) Epoch: [51][9600/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 2.3136 (2.0315) Prec@1 41.250 (47.610) Prec@5 71.875 (78.101) Epoch: [51][9610/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 1.9744 (2.0315) Prec@1 48.125 (47.610) Prec@5 77.500 (78.100) Epoch: [51][9620/11272] Time 0.847 (0.802) Data 0.001 (0.002) Loss 1.9895 (2.0315) Prec@1 51.875 (47.610) Prec@5 79.375 (78.099) Epoch: [51][9630/11272] Time 0.783 (0.802) Data 0.002 (0.002) Loss 2.1669 (2.0316) Prec@1 43.750 (47.608) Prec@5 71.875 (78.099) Epoch: [51][9640/11272] Time 0.763 (0.802) Data 0.002 (0.002) Loss 2.0504 (2.0317) Prec@1 46.875 (47.604) Prec@5 75.000 (78.097) Epoch: [51][9650/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 1.9614 (2.0317) Prec@1 45.000 (47.603) Prec@5 83.125 (78.097) Epoch: [51][9660/11272] Time 0.941 (0.802) Data 0.002 (0.002) Loss 2.2076 (2.0318) Prec@1 40.000 (47.602) Prec@5 76.875 (78.096) Epoch: [51][9670/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.0899 (2.0318) Prec@1 47.500 (47.602) Prec@5 75.000 (78.095) Epoch: [51][9680/11272] Time 0.758 (0.802) Data 0.001 (0.002) Loss 2.1153 (2.0318) Prec@1 48.125 (47.602) Prec@5 78.750 (78.095) Epoch: [51][9690/11272] Time 0.835 (0.802) Data 0.001 (0.002) Loss 2.3558 (2.0318) Prec@1 43.125 (47.603) Prec@5 74.375 (78.095) Epoch: [51][9700/11272] Time 0.914 (0.802) Data 0.002 (0.002) Loss 2.0609 (2.0318) Prec@1 45.625 (47.603) Prec@5 75.000 (78.095) Epoch: [51][9710/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 2.0108 (2.0318) Prec@1 50.625 (47.605) Prec@5 76.250 (78.095) Epoch: [51][9720/11272] Time 0.753 (0.802) Data 0.001 (0.002) Loss 1.7935 (2.0316) Prec@1 53.125 (47.609) Prec@5 81.875 (78.098) Epoch: [51][9730/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 1.9494 (2.0316) Prec@1 46.875 (47.610) Prec@5 79.375 (78.098) Epoch: [51][9740/11272] Time 0.758 (0.802) Data 0.003 (0.002) Loss 2.1272 (2.0316) Prec@1 47.500 (47.608) Prec@5 77.500 (78.097) Epoch: [51][9750/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 1.8171 (2.0316) Prec@1 51.875 (47.609) Prec@5 83.750 (78.097) Epoch: [51][9760/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 2.1841 (2.0317) Prec@1 41.875 (47.607) Prec@5 73.750 (78.096) Epoch: [51][9770/11272] Time 0.807 (0.802) Data 0.001 (0.002) Loss 1.9521 (2.0317) Prec@1 55.000 (47.607) Prec@5 81.250 (78.096) Epoch: [51][9780/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 1.9184 (2.0318) Prec@1 51.250 (47.606) Prec@5 80.000 (78.095) Epoch: [51][9790/11272] Time 0.753 (0.802) Data 0.001 (0.002) Loss 1.8045 (2.0317) Prec@1 51.875 (47.608) Prec@5 81.875 (78.096) Epoch: [51][9800/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 1.9335 (2.0317) Prec@1 46.250 (47.607) Prec@5 81.250 (78.097) Epoch: [51][9810/11272] Time 0.831 (0.802) Data 0.001 (0.002) Loss 1.8060 (2.0316) Prec@1 53.125 (47.608) Prec@5 83.750 (78.099) Epoch: [51][9820/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.1894 (2.0316) Prec@1 41.250 (47.607) Prec@5 75.000 (78.099) Epoch: [51][9830/11272] Time 0.740 (0.802) Data 0.001 (0.002) Loss 2.2949 (2.0317) Prec@1 40.625 (47.605) Prec@5 74.375 (78.096) Epoch: [51][9840/11272] Time 0.905 (0.802) Data 0.001 (0.002) Loss 2.0520 (2.0318) Prec@1 47.500 (47.605) Prec@5 78.125 (78.096) Epoch: [51][9850/11272] Time 0.836 (0.802) Data 0.001 (0.002) Loss 2.1502 (2.0319) Prec@1 44.375 (47.602) Prec@5 78.125 (78.095) Epoch: [51][9860/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 2.2708 (2.0319) Prec@1 45.625 (47.601) Prec@5 75.625 (78.094) Epoch: [51][9870/11272] Time 0.836 (0.802) Data 0.001 (0.002) Loss 2.1457 (2.0319) Prec@1 49.375 (47.601) Prec@5 72.500 (78.094) Epoch: [51][9880/11272] Time 0.849 (0.802) Data 0.002 (0.002) Loss 1.8256 (2.0319) Prec@1 58.750 (47.604) Prec@5 80.000 (78.095) Epoch: [51][9890/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 2.0488 (2.0319) Prec@1 42.500 (47.602) Prec@5 79.375 (78.093) Epoch: [51][9900/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 1.9748 (2.0319) Prec@1 48.125 (47.602) Prec@5 78.750 (78.093) Epoch: [51][9910/11272] Time 0.857 (0.802) Data 0.001 (0.002) Loss 2.0788 (2.0319) Prec@1 36.875 (47.602) Prec@5 81.250 (78.094) Epoch: [51][9920/11272] Time 0.891 (0.802) Data 0.002 (0.002) Loss 2.1160 (2.0320) Prec@1 43.125 (47.599) Prec@5 78.125 (78.094) Epoch: [51][9930/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 1.9848 (2.0320) Prec@1 43.750 (47.598) Prec@5 79.375 (78.093) Epoch: [51][9940/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 1.9045 (2.0320) Prec@1 53.750 (47.598) Prec@5 80.625 (78.093) Epoch: [51][9950/11272] Time 0.887 (0.802) Data 0.002 (0.002) Loss 2.3385 (2.0321) Prec@1 38.750 (47.596) Prec@5 71.250 (78.091) Epoch: [51][9960/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 2.3297 (2.0321) Prec@1 39.375 (47.595) Prec@5 71.875 (78.091) Epoch: [51][9970/11272] Time 0.748 (0.802) Data 0.001 (0.002) Loss 2.0568 (2.0320) Prec@1 45.000 (47.596) Prec@5 77.500 (78.094) Epoch: [51][9980/11272] Time 0.766 (0.802) Data 0.002 (0.002) Loss 1.8391 (2.0320) Prec@1 55.625 (47.596) Prec@5 81.250 (78.094) Epoch: [51][9990/11272] Time 0.831 (0.802) Data 0.001 (0.002) Loss 2.0578 (2.0321) Prec@1 47.500 (47.594) Prec@5 80.625 (78.094) Epoch: [51][10000/11272] Time 0.741 (0.802) Data 0.004 (0.002) Loss 2.0373 (2.0321) Prec@1 51.875 (47.592) Prec@5 77.500 (78.094) Epoch: [51][10010/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.0173 (2.0322) Prec@1 48.125 (47.591) Prec@5 78.750 (78.093) Epoch: [51][10020/11272] Time 0.902 (0.802) Data 0.002 (0.002) Loss 2.1899 (2.0322) Prec@1 51.250 (47.592) Prec@5 76.250 (78.093) Epoch: [51][10030/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.1259 (2.0322) Prec@1 44.375 (47.591) Prec@5 74.375 (78.093) Epoch: [51][10040/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.0184 (2.0322) Prec@1 46.875 (47.593) Prec@5 76.875 (78.094) Epoch: [51][10050/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 1.8657 (2.0321) Prec@1 51.250 (47.593) Prec@5 81.250 (78.094) Epoch: [51][10060/11272] Time 0.884 (0.802) Data 0.002 (0.002) Loss 2.0924 (2.0322) Prec@1 44.375 (47.594) Prec@5 76.875 (78.094) Epoch: [51][10070/11272] Time 0.856 (0.802) Data 0.001 (0.002) Loss 1.9966 (2.0322) Prec@1 51.250 (47.593) Prec@5 79.375 (78.094) Epoch: [51][10080/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 1.9866 (2.0323) Prec@1 47.500 (47.592) Prec@5 81.875 (78.094) Epoch: [51][10090/11272] Time 0.733 (0.802) Data 0.001 (0.002) Loss 1.9766 (2.0323) Prec@1 48.125 (47.592) Prec@5 83.125 (78.093) Epoch: [51][10100/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 2.2790 (2.0323) Prec@1 43.750 (47.592) Prec@5 76.250 (78.092) Epoch: [51][10110/11272] Time 0.814 (0.802) Data 0.001 (0.002) Loss 2.1300 (2.0323) Prec@1 41.875 (47.592) Prec@5 79.375 (78.092) Epoch: [51][10120/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 1.9791 (2.0323) Prec@1 45.000 (47.592) Prec@5 79.375 (78.093) Epoch: [51][10130/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 2.0074 (2.0323) Prec@1 50.625 (47.593) Prec@5 77.500 (78.093) Epoch: [51][10140/11272] Time 0.922 (0.802) Data 0.002 (0.002) Loss 2.1179 (2.0324) Prec@1 43.750 (47.591) Prec@5 77.500 (78.091) Epoch: [51][10150/11272] Time 0.748 (0.802) Data 0.001 (0.002) Loss 1.9351 (2.0324) Prec@1 49.375 (47.590) Prec@5 79.375 (78.091) Epoch: [51][10160/11272] Time 0.776 (0.802) Data 0.002 (0.002) Loss 2.1462 (2.0324) Prec@1 48.125 (47.589) Prec@5 74.375 (78.091) Epoch: [51][10170/11272] Time 0.850 (0.802) Data 0.002 (0.002) Loss 1.7984 (2.0324) Prec@1 51.875 (47.590) Prec@5 81.250 (78.091) Epoch: [51][10180/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.7256 (2.0324) Prec@1 56.875 (47.591) Prec@5 85.000 (78.090) Epoch: [51][10190/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 1.9945 (2.0324) Prec@1 48.125 (47.591) Prec@5 83.125 (78.090) Epoch: [51][10200/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 1.7788 (2.0324) Prec@1 55.000 (47.591) Prec@5 81.250 (78.090) Epoch: [51][10210/11272] Time 0.847 (0.802) Data 0.001 (0.002) Loss 2.0386 (2.0324) Prec@1 46.875 (47.592) Prec@5 76.875 (78.091) Epoch: [51][10220/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 1.9557 (2.0323) Prec@1 47.500 (47.593) Prec@5 81.250 (78.092) Epoch: [51][10230/11272] Time 0.756 (0.802) Data 0.002 (0.002) Loss 1.8092 (2.0324) Prec@1 53.750 (47.590) Prec@5 85.625 (78.092) Epoch: [51][10240/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.1045 (2.0324) Prec@1 42.500 (47.588) Prec@5 75.000 (78.091) Epoch: [51][10250/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 1.9604 (2.0324) Prec@1 47.500 (47.587) Prec@5 80.000 (78.091) Epoch: [51][10260/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 1.8049 (2.0324) Prec@1 48.125 (47.586) Prec@5 85.625 (78.093) Epoch: [51][10270/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.4720 (2.0324) Prec@1 33.750 (47.584) Prec@5 73.750 (78.093) Epoch: [51][10280/11272] Time 0.889 (0.802) Data 0.002 (0.002) Loss 2.2252 (2.0324) Prec@1 44.375 (47.583) Prec@5 78.125 (78.093) Epoch: [51][10290/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 1.9425 (2.0324) Prec@1 46.250 (47.583) Prec@5 83.750 (78.093) Epoch: [51][10300/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.9878 (2.0323) Prec@1 47.500 (47.584) Prec@5 79.375 (78.095) Epoch: [51][10310/11272] Time 0.753 (0.802) Data 0.002 (0.002) Loss 2.1168 (2.0324) Prec@1 42.500 (47.584) Prec@5 79.375 (78.094) Epoch: [51][10320/11272] Time 0.879 (0.802) Data 0.001 (0.002) Loss 1.8700 (2.0323) Prec@1 51.875 (47.586) Prec@5 80.625 (78.094) Epoch: [51][10330/11272] Time 0.925 (0.802) Data 0.001 (0.002) Loss 1.9695 (2.0324) Prec@1 49.375 (47.584) Prec@5 76.250 (78.093) Epoch: [51][10340/11272] Time 0.767 (0.802) Data 0.002 (0.002) Loss 2.1718 (2.0325) Prec@1 43.125 (47.583) Prec@5 75.625 (78.092) Epoch: [51][10350/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 2.1221 (2.0324) Prec@1 46.250 (47.583) Prec@5 76.875 (78.093) Epoch: [51][10360/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.0447 (2.0325) Prec@1 51.875 (47.583) Prec@5 79.375 (78.093) Epoch: [51][10370/11272] Time 0.828 (0.802) Data 0.001 (0.002) Loss 1.7755 (2.0324) Prec@1 51.250 (47.583) Prec@5 83.125 (78.095) Epoch: [51][10380/11272] Time 0.756 (0.802) Data 0.002 (0.002) Loss 2.0835 (2.0323) Prec@1 48.125 (47.584) Prec@5 76.250 (78.096) Epoch: [51][10390/11272] Time 0.718 (0.802) Data 0.002 (0.002) Loss 1.8102 (2.0323) Prec@1 55.000 (47.585) Prec@5 83.125 (78.096) Epoch: [51][10400/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 2.1823 (2.0323) Prec@1 42.500 (47.583) Prec@5 73.125 (78.096) Epoch: [51][10410/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.1095 (2.0324) Prec@1 46.250 (47.582) Prec@5 79.375 (78.093) Epoch: [51][10420/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 1.8757 (2.0325) Prec@1 45.000 (47.580) Prec@5 81.875 (78.092) Epoch: [51][10430/11272] Time 0.843 (0.802) Data 0.001 (0.002) Loss 2.1544 (2.0325) Prec@1 41.250 (47.578) Prec@5 74.375 (78.092) Epoch: [51][10440/11272] Time 0.853 (0.802) Data 0.002 (0.002) Loss 2.1232 (2.0327) Prec@1 45.625 (47.576) Prec@5 78.125 (78.090) Epoch: [51][10450/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 2.0838 (2.0326) Prec@1 46.250 (47.576) Prec@5 75.000 (78.091) Epoch: [51][10460/11272] Time 0.824 (0.802) Data 0.002 (0.002) Loss 2.0632 (2.0326) Prec@1 45.625 (47.577) Prec@5 76.875 (78.091) Epoch: [51][10470/11272] Time 0.820 (0.802) Data 0.002 (0.002) Loss 1.9939 (2.0327) Prec@1 45.000 (47.575) Prec@5 74.375 (78.089) Epoch: [51][10480/11272] Time 0.895 (0.802) Data 0.002 (0.002) Loss 1.8409 (2.0327) Prec@1 51.875 (47.576) Prec@5 85.000 (78.089) Epoch: [51][10490/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.0624 (2.0327) Prec@1 48.750 (47.575) Prec@5 78.125 (78.089) Epoch: [51][10500/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 2.0608 (2.0327) Prec@1 45.625 (47.575) Prec@5 74.375 (78.088) Epoch: [51][10510/11272] Time 0.943 (0.802) Data 0.001 (0.002) Loss 1.9914 (2.0327) Prec@1 47.500 (47.576) Prec@5 80.000 (78.088) Epoch: [51][10520/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 2.2476 (2.0327) Prec@1 39.375 (47.575) Prec@5 78.750 (78.088) Epoch: [51][10530/11272] Time 0.725 (0.802) Data 0.001 (0.002) Loss 2.1000 (2.0327) Prec@1 46.250 (47.574) Prec@5 78.750 (78.090) Epoch: [51][10540/11272] Time 0.851 (0.802) Data 0.001 (0.002) Loss 2.1151 (2.0327) Prec@1 46.875 (47.575) Prec@5 75.625 (78.090) Epoch: [51][10550/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 1.8870 (2.0327) Prec@1 46.875 (47.574) Prec@5 78.125 (78.091) Epoch: [51][10560/11272] Time 0.770 (0.802) Data 0.002 (0.002) Loss 2.0084 (2.0326) Prec@1 52.500 (47.576) Prec@5 78.750 (78.092) Epoch: [51][10570/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 1.8072 (2.0326) Prec@1 51.875 (47.576) Prec@5 85.625 (78.092) Epoch: [51][10580/11272] Time 0.895 (0.802) Data 0.002 (0.002) Loss 1.9995 (2.0326) Prec@1 45.625 (47.575) Prec@5 79.375 (78.091) Epoch: [51][10590/11272] Time 0.814 (0.802) Data 0.001 (0.002) Loss 2.2498 (2.0326) Prec@1 47.500 (47.576) Prec@5 75.000 (78.091) Epoch: [51][10600/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.9581 (2.0326) Prec@1 46.250 (47.577) Prec@5 76.250 (78.090) Epoch: [51][10610/11272] Time 0.752 (0.802) Data 0.002 (0.002) Loss 2.0344 (2.0327) Prec@1 48.750 (47.577) Prec@5 75.625 (78.089) Epoch: [51][10620/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 2.0397 (2.0326) Prec@1 47.500 (47.578) Prec@5 78.125 (78.089) Epoch: [51][10630/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 2.2023 (2.0326) Prec@1 45.000 (47.580) Prec@5 76.250 (78.089) Epoch: [51][10640/11272] Time 0.791 (0.802) Data 0.002 (0.002) Loss 2.0914 (2.0327) Prec@1 48.125 (47.577) Prec@5 76.875 (78.088) Epoch: [51][10650/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.1180 (2.0328) Prec@1 43.750 (47.575) Prec@5 71.250 (78.087) Epoch: [51][10660/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 1.9393 (2.0328) Prec@1 54.375 (47.575) Prec@5 83.125 (78.087) Epoch: [51][10670/11272] Time 0.702 (0.802) Data 0.003 (0.002) Loss 2.0668 (2.0328) Prec@1 45.625 (47.575) Prec@5 75.625 (78.087) Epoch: [51][10680/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 1.8594 (2.0328) Prec@1 48.125 (47.575) Prec@5 81.875 (78.087) Epoch: [51][10690/11272] Time 0.861 (0.802) Data 0.001 (0.002) Loss 1.9599 (2.0329) Prec@1 50.000 (47.573) Prec@5 80.625 (78.086) Epoch: [51][10700/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 2.1711 (2.0329) Prec@1 40.000 (47.572) Prec@5 73.125 (78.085) Epoch: [51][10710/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 2.0157 (2.0329) Prec@1 47.500 (47.571) Prec@5 76.875 (78.085) Epoch: [51][10720/11272] Time 0.715 (0.802) Data 0.001 (0.002) Loss 2.0170 (2.0329) Prec@1 42.500 (47.572) Prec@5 78.125 (78.085) Epoch: [51][10730/11272] Time 0.823 (0.802) Data 0.001 (0.002) Loss 1.9176 (2.0329) Prec@1 49.375 (47.571) Prec@5 82.500 (78.086) Epoch: [51][10740/11272] Time 0.897 (0.802) Data 0.002 (0.002) Loss 2.1634 (2.0330) Prec@1 42.500 (47.570) Prec@5 76.875 (78.086) Epoch: [51][10750/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 2.1757 (2.0330) Prec@1 38.125 (47.571) Prec@5 73.750 (78.085) Epoch: [51][10760/11272] Time 0.737 (0.802) Data 0.005 (0.002) Loss 2.2613 (2.0330) Prec@1 41.250 (47.570) Prec@5 75.625 (78.084) Epoch: [51][10770/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.1020 (2.0330) Prec@1 48.125 (47.571) Prec@5 79.375 (78.084) Epoch: [51][10780/11272] Time 0.883 (0.802) Data 0.002 (0.002) Loss 1.9524 (2.0331) Prec@1 50.000 (47.570) Prec@5 82.500 (78.083) Epoch: [51][10790/11272] Time 0.745 (0.802) Data 0.001 (0.002) Loss 1.8085 (2.0330) Prec@1 53.125 (47.570) Prec@5 81.250 (78.084) Epoch: [51][10800/11272] Time 0.870 (0.802) Data 0.002 (0.002) Loss 2.1210 (2.0331) Prec@1 46.250 (47.570) Prec@5 77.500 (78.084) Epoch: [51][10810/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.2482 (2.0331) Prec@1 38.750 (47.569) Prec@5 76.250 (78.084) Epoch: [51][10820/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 2.0350 (2.0331) Prec@1 46.250 (47.570) Prec@5 79.375 (78.083) Epoch: [51][10830/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 2.0774 (2.0332) Prec@1 48.750 (47.569) Prec@5 78.750 (78.081) Epoch: [51][10840/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 2.0821 (2.0332) Prec@1 43.750 (47.568) Prec@5 80.625 (78.081) Epoch: [51][10850/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 1.9819 (2.0332) Prec@1 50.000 (47.569) Prec@5 75.625 (78.082) Epoch: [51][10860/11272] Time 0.738 (0.802) Data 0.001 (0.002) Loss 2.1407 (2.0332) Prec@1 45.000 (47.569) Prec@5 79.375 (78.081) Epoch: [51][10870/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.3921 (2.0333) Prec@1 43.750 (47.568) Prec@5 72.500 (78.081) Epoch: [51][10880/11272] Time 0.894 (0.802) Data 0.002 (0.002) Loss 2.1904 (2.0334) Prec@1 42.500 (47.564) Prec@5 73.125 (78.077) Epoch: [51][10890/11272] Time 0.812 (0.802) Data 0.002 (0.002) Loss 1.9764 (2.0335) Prec@1 48.750 (47.563) Prec@5 84.375 (78.077) Epoch: [51][10900/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 2.0533 (2.0335) Prec@1 48.750 (47.563) Prec@5 74.375 (78.076) Epoch: [51][10910/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 1.8896 (2.0335) Prec@1 46.250 (47.562) Prec@5 80.625 (78.076) Epoch: [51][10920/11272] Time 0.880 (0.802) Data 0.002 (0.002) Loss 2.1475 (2.0334) Prec@1 45.625 (47.563) Prec@5 78.750 (78.078) Epoch: [51][10930/11272] Time 0.726 (0.802) Data 0.003 (0.002) Loss 1.8439 (2.0334) Prec@1 53.750 (47.563) Prec@5 81.250 (78.078) Epoch: [51][10940/11272] Time 0.787 (0.802) Data 0.002 (0.002) Loss 2.0084 (2.0334) Prec@1 50.625 (47.563) Prec@5 76.875 (78.079) Epoch: [51][10950/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 2.0644 (2.0334) Prec@1 46.875 (47.562) Prec@5 77.500 (78.078) Epoch: [51][10960/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 1.7976 (2.0334) Prec@1 54.375 (47.562) Prec@5 80.000 (78.079) Epoch: [51][10970/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.1271 (2.0334) Prec@1 45.000 (47.562) Prec@5 76.875 (78.078) Epoch: [51][10980/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 1.9244 (2.0334) Prec@1 47.500 (47.562) Prec@5 78.750 (78.078) Epoch: [51][10990/11272] Time 0.850 (0.802) Data 0.001 (0.002) Loss 1.8540 (2.0334) Prec@1 50.000 (47.563) Prec@5 81.250 (78.078) Epoch: [51][11000/11272] Time 0.882 (0.802) Data 0.002 (0.002) Loss 2.0341 (2.0334) Prec@1 51.875 (47.564) Prec@5 77.500 (78.078) Epoch: [51][11010/11272] Time 0.730 (0.802) Data 0.001 (0.002) Loss 1.9927 (2.0335) Prec@1 48.750 (47.563) Prec@5 78.125 (78.077) Epoch: [51][11020/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.2328 (2.0335) Prec@1 43.125 (47.562) Prec@5 74.375 (78.076) Epoch: [51][11030/11272] Time 0.834 (0.802) Data 0.001 (0.002) Loss 2.1408 (2.0336) Prec@1 46.875 (47.562) Prec@5 75.625 (78.076) Epoch: [51][11040/11272] Time 0.844 (0.802) Data 0.002 (0.002) Loss 2.1145 (2.0335) Prec@1 48.750 (47.563) Prec@5 75.625 (78.077) Epoch: [51][11050/11272] Time 0.701 (0.802) Data 0.001 (0.002) Loss 1.8893 (2.0336) Prec@1 51.875 (47.563) Prec@5 78.750 (78.076) Epoch: [51][11060/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 2.3411 (2.0337) Prec@1 41.875 (47.561) Prec@5 70.000 (78.073) Epoch: [51][11070/11272] Time 0.883 (0.802) Data 0.002 (0.002) Loss 1.7196 (2.0336) Prec@1 51.875 (47.561) Prec@5 85.625 (78.073) Epoch: [51][11080/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.0661 (2.0336) Prec@1 42.500 (47.561) Prec@5 75.625 (78.072) Epoch: [51][11090/11272] Time 0.740 (0.802) Data 0.001 (0.002) Loss 2.0854 (2.0336) Prec@1 46.250 (47.561) Prec@5 77.500 (78.073) Epoch: [51][11100/11272] Time 0.871 (0.802) Data 0.001 (0.002) Loss 2.2260 (2.0336) Prec@1 45.000 (47.561) Prec@5 74.375 (78.073) Epoch: [51][11110/11272] Time 0.852 (0.802) Data 0.001 (0.002) Loss 2.1122 (2.0336) Prec@1 41.250 (47.560) Prec@5 75.625 (78.074) Epoch: [51][11120/11272] Time 0.750 (0.802) Data 0.001 (0.002) Loss 1.9800 (2.0335) Prec@1 50.000 (47.559) Prec@5 79.375 (78.075) Epoch: [51][11130/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.1385 (2.0336) Prec@1 48.750 (47.559) Prec@5 73.125 (78.074) Epoch: [51][11140/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.2013 (2.0337) Prec@1 48.125 (47.556) Prec@5 74.375 (78.072) Epoch: [51][11150/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.0188 (2.0337) Prec@1 43.750 (47.555) Prec@5 81.875 (78.073) Epoch: [51][11160/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 1.8787 (2.0336) Prec@1 52.500 (47.559) Prec@5 83.750 (78.074) Epoch: [51][11170/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.0510 (2.0336) Prec@1 49.375 (47.561) Prec@5 81.875 (78.076) Epoch: [51][11180/11272] Time 0.853 (0.802) Data 0.002 (0.002) Loss 2.1843 (2.0335) Prec@1 46.250 (47.562) Prec@5 73.750 (78.076) Epoch: [51][11190/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 1.5763 (2.0335) Prec@1 55.625 (47.562) Prec@5 85.625 (78.075) Epoch: [51][11200/11272] Time 0.784 (0.802) Data 0.001 (0.002) Loss 1.9472 (2.0335) Prec@1 50.625 (47.562) Prec@5 76.875 (78.075) Epoch: [51][11210/11272] Time 0.883 (0.802) Data 0.001 (0.002) Loss 2.0276 (2.0335) Prec@1 44.375 (47.562) Prec@5 75.000 (78.074) Epoch: [51][11220/11272] Time 0.890 (0.802) Data 0.002 (0.002) Loss 1.7133 (2.0335) Prec@1 53.125 (47.562) Prec@5 83.750 (78.073) Epoch: [51][11230/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 2.3160 (2.0335) Prec@1 40.625 (47.562) Prec@5 71.875 (78.074) Epoch: [51][11240/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.2304 (2.0334) Prec@1 43.125 (47.563) Prec@5 76.875 (78.075) Epoch: [51][11250/11272] Time 0.824 (0.802) Data 0.001 (0.002) Loss 1.9926 (2.0334) Prec@1 45.000 (47.563) Prec@5 81.250 (78.075) Epoch: [51][11260/11272] Time 0.931 (0.802) Data 0.002 (0.002) Loss 1.9884 (2.0334) Prec@1 48.125 (47.564) Prec@5 78.750 (78.075) Epoch: [51][11270/11272] Time 0.735 (0.802) Data 0.000 (0.002) Loss 2.0203 (2.0334) Prec@1 47.500 (47.565) Prec@5 80.000 (78.076) Test: [0/229] Time 2.137 (2.137) Loss 1.0691 (1.0691) Prec@1 67.500 (67.500) Prec@5 93.750 (93.750) Test: [10/229] Time 0.418 (0.551) Loss 1.3786 (1.6448) Prec@1 60.000 (56.875) Prec@5 94.375 (86.818) Test: [20/229] Time 0.335 (0.469) Loss 2.0471 (1.7294) Prec@1 46.875 (53.631) Prec@5 78.125 (85.238) Test: [30/229] Time 0.378 (0.445) Loss 2.4499 (1.7065) Prec@1 33.750 (54.315) Prec@5 73.750 (85.282) Test: [40/229] Time 0.384 (0.433) Loss 0.3652 (1.6908) Prec@1 91.875 (54.665) Prec@5 95.000 (85.290) Test: [50/229] Time 0.409 (0.427) Loss 2.5008 (1.7332) Prec@1 32.500 (54.007) Prec@5 75.000 (84.179) Test: [60/229] Time 0.427 (0.421) Loss 2.2590 (1.7316) Prec@1 40.625 (53.873) Prec@5 76.875 (84.273) Test: [70/229] Time 0.369 (0.416) Loss 1.3647 (1.7391) Prec@1 67.500 (53.644) Prec@5 86.875 (84.164) Test: [80/229] Time 0.395 (0.413) Loss 2.2481 (1.7769) Prec@1 33.125 (52.407) Prec@5 80.625 (83.850) Test: [90/229] Time 0.335 (0.408) Loss 1.4460 (1.7914) Prec@1 66.875 (52.136) Prec@5 82.500 (83.777) Test: [100/229] Time 0.512 (0.407) Loss 2.1814 (1.7774) Prec@1 46.250 (52.723) Prec@5 81.250 (84.010) Test: [110/229] Time 0.431 (0.406) Loss 1.8361 (1.7652) Prec@1 52.500 (52.866) Prec@5 82.500 (84.167) Test: [120/229] Time 0.378 (0.405) Loss 2.5586 (1.7837) Prec@1 38.125 (52.433) Prec@5 73.125 (83.889) Test: [130/229] Time 0.471 (0.406) Loss 1.3373 (1.7645) Prec@1 60.625 (52.915) Prec@5 90.625 (84.179) Test: [140/229] Time 0.337 (0.403) Loss 1.7912 (1.7731) Prec@1 52.500 (52.655) Prec@5 83.125 (84.043) Test: [150/229] Time 0.458 (0.402) Loss 1.1105 (1.7829) Prec@1 73.750 (52.405) Prec@5 88.750 (83.916) Test: [160/229] Time 0.328 (0.402) Loss 1.9793 (1.7845) Prec@1 58.125 (52.380) Prec@5 83.125 (83.866) Test: [170/229] Time 0.343 (0.403) Loss 1.7791 (1.7929) Prec@1 49.375 (52.076) Prec@5 86.875 (83.746) Test: [180/229] Time 0.424 (0.402) Loss 2.3033 (1.7980) Prec@1 36.875 (52.124) Prec@5 73.125 (83.553) Test: [190/229] Time 0.344 (0.401) Loss 1.2860 (1.7908) Prec@1 63.750 (52.330) Prec@5 91.875 (83.583) Test: [200/229] Time 0.443 (0.401) Loss 1.6095 (1.7823) Prec@1 52.500 (52.441) Prec@5 85.625 (83.766) Test: [210/229] Time 0.343 (0.401) Loss 1.4813 (1.7707) Prec@1 53.125 (52.693) Prec@5 93.125 (83.925) Test: [220/229] Time 0.438 (0.401) Loss 1.4841 (1.7661) Prec@1 62.500 (52.876) Prec@5 87.500 (83.937) * Prec@1 53.194 Prec@5 84.042 Epoch: [52][0/11272] Time 3.729 (3.729) Data 2.798 (2.798) Loss 1.8925 (1.8925) Prec@1 51.875 (51.875) Prec@5 80.000 (80.000) Epoch: [52][10/11272] Time 0.759 (1.083) Data 0.002 (0.256) Loss 1.7877 (1.9329) Prec@1 52.500 (48.977) Prec@5 83.125 (81.307) Epoch: [52][20/11272] Time 0.919 (0.948) Data 0.002 (0.135) Loss 1.9339 (1.9457) Prec@1 51.250 (48.750) Prec@5 76.250 (80.417) Epoch: [52][30/11272] Time 0.820 (0.898) Data 0.001 (0.092) Loss 1.9222 (1.9773) Prec@1 47.500 (48.266) Prec@5 83.750 (79.718) Epoch: [52][40/11272] Time 0.743 (0.872) Data 0.002 (0.070) Loss 1.9442 (1.9913) Prec@1 45.000 (48.095) Prec@5 76.250 (79.405) Epoch: [52][50/11272] Time 0.727 (0.858) Data 0.001 (0.057) Loss 2.0244 (1.9951) Prec@1 38.750 (47.672) Prec@5 78.125 (79.191) Epoch: [52][60/11272] Time 0.893 (0.848) Data 0.002 (0.048) Loss 1.9982 (1.9973) Prec@1 48.125 (47.777) Prec@5 81.250 (79.047) Epoch: [52][70/11272] Time 0.859 (0.841) Data 0.002 (0.041) Loss 1.9540 (1.9841) Prec@1 45.625 (48.160) Prec@5 80.625 (79.181) Epoch: [52][80/11272] Time 0.829 (0.836) Data 0.002 (0.036) Loss 1.7762 (1.9772) Prec@1 53.125 (48.426) Prec@5 82.500 (79.329) Epoch: [52][90/11272] Time 0.753 (0.831) Data 0.002 (0.032) Loss 2.1036 (1.9892) Prec@1 47.500 (48.228) Prec@5 76.875 (79.066) Epoch: [52][100/11272] Time 0.860 (0.828) Data 0.001 (0.029) Loss 1.9913 (1.9913) Prec@1 43.125 (47.976) Prec@5 81.250 (79.028) Epoch: [52][110/11272] Time 0.845 (0.825) Data 0.001 (0.027) Loss 1.9293 (1.9936) Prec@1 48.750 (47.973) Prec@5 81.250 (78.880) Epoch: [52][120/11272] Time 0.724 (0.822) Data 0.001 (0.025) Loss 2.0419 (1.9918) Prec@1 44.375 (48.110) Prec@5 81.875 (78.957) Epoch: [52][130/11272] Time 0.802 (0.819) Data 0.001 (0.023) Loss 1.8466 (1.9920) Prec@1 52.500 (48.130) Prec@5 82.500 (78.927) Epoch: [52][140/11272] Time 0.815 (0.817) Data 0.002 (0.021) Loss 1.8862 (1.9918) Prec@1 53.125 (48.138) Prec@5 77.500 (78.936) Epoch: [52][150/11272] Time 0.728 (0.816) Data 0.001 (0.020) Loss 1.9750 (1.9923) Prec@1 49.375 (48.104) Prec@5 79.375 (78.949) Epoch: [52][160/11272] Time 0.751 (0.814) Data 0.002 (0.019) Loss 2.0795 (1.9902) Prec@1 46.875 (48.199) Prec@5 76.875 (78.979) Epoch: [52][170/11272] Time 0.836 (0.813) Data 0.001 (0.018) Loss 1.9399 (1.9964) Prec@1 51.250 (48.140) Prec@5 81.250 (78.834) Epoch: [52][180/11272] Time 0.829 (0.812) Data 0.002 (0.017) Loss 1.9344 (1.9959) Prec@1 49.375 (48.246) Prec@5 76.250 (78.816) Epoch: [52][190/11272] Time 0.733 (0.811) Data 0.001 (0.016) Loss 2.0427 (1.9960) Prec@1 51.875 (48.282) Prec@5 75.000 (78.822) Epoch: [52][200/11272] Time 0.730 (0.810) Data 0.001 (0.016) Loss 2.1645 (1.9943) Prec@1 43.125 (48.355) Prec@5 78.125 (78.822) Epoch: [52][210/11272] Time 0.831 (0.809) Data 0.001 (0.015) Loss 1.9294 (1.9917) Prec@1 44.375 (48.439) Prec@5 83.125 (78.940) Epoch: [52][220/11272] Time 0.865 (0.809) Data 0.004 (0.014) Loss 1.8359 (1.9930) Prec@1 51.875 (48.377) Prec@5 79.375 (78.889) Epoch: [52][230/11272] Time 0.760 (0.808) Data 0.002 (0.014) Loss 1.8309 (1.9931) Prec@1 55.625 (48.420) Prec@5 81.250 (78.828) Epoch: [52][240/11272] Time 0.757 (0.808) Data 0.002 (0.013) Loss 2.0661 (1.9948) Prec@1 45.000 (48.408) Prec@5 79.375 (78.789) Epoch: [52][250/11272] Time 0.863 (0.808) Data 0.002 (0.013) Loss 2.1291 (1.9923) Prec@1 41.875 (48.414) Prec@5 77.500 (78.837) Epoch: [52][260/11272] Time 0.817 (0.807) Data 0.001 (0.012) Loss 2.0760 (1.9920) Prec@1 48.125 (48.441) Prec@5 76.875 (78.867) Epoch: [52][270/11272] Time 0.794 (0.807) Data 0.002 (0.012) Loss 1.8460 (1.9934) Prec@1 51.250 (48.356) Prec@5 81.250 (78.835) Epoch: [52][280/11272] Time 0.898 (0.807) Data 0.002 (0.012) Loss 1.9772 (1.9954) Prec@1 49.375 (48.298) Prec@5 80.625 (78.792) Epoch: [52][290/11272] Time 0.877 (0.806) Data 0.002 (0.011) Loss 2.0572 (1.9957) Prec@1 43.125 (48.280) Prec@5 75.625 (78.774) Epoch: [52][300/11272] Time 0.725 (0.806) Data 0.001 (0.011) Loss 2.0128 (1.9981) Prec@1 48.125 (48.254) Prec@5 77.500 (78.725) Epoch: [52][310/11272] Time 0.789 (0.806) Data 0.002 (0.011) Loss 2.1026 (1.9976) Prec@1 47.500 (48.276) Prec@5 75.000 (78.696) Epoch: [52][320/11272] Time 0.843 (0.806) Data 0.001 (0.010) Loss 2.0644 (1.9989) Prec@1 48.750 (48.238) Prec@5 78.750 (78.647) Epoch: [52][330/11272] Time 0.839 (0.806) Data 0.002 (0.010) Loss 2.1236 (1.9996) Prec@1 45.625 (48.219) Prec@5 75.625 (78.631) Epoch: [52][340/11272] Time 0.730 (0.805) Data 0.001 (0.010) Loss 2.0007 (2.0004) Prec@1 48.125 (48.189) Prec@5 78.750 (78.613) Epoch: [52][350/11272] Time 0.809 (0.805) Data 0.002 (0.010) Loss 1.7677 (1.9998) Prec@1 56.250 (48.193) Prec@5 78.750 (78.631) Epoch: [52][360/11272] Time 0.840 (0.805) Data 0.001 (0.009) Loss 2.0360 (1.9987) Prec@1 49.375 (48.227) Prec@5 75.625 (78.643) Epoch: [52][370/11272] Time 0.796 (0.805) Data 0.001 (0.009) Loss 1.9076 (1.9959) Prec@1 51.875 (48.292) Prec@5 78.125 (78.649) Epoch: [52][380/11272] Time 0.748 (0.804) Data 0.002 (0.009) Loss 1.9940 (1.9968) Prec@1 46.875 (48.294) Prec@5 76.250 (78.634) Epoch: [52][390/11272] Time 0.724 (0.804) Data 0.002 (0.009) Loss 1.8981 (1.9953) Prec@1 49.375 (48.336) Prec@5 81.875 (78.662) Epoch: [52][400/11272] Time 0.911 (0.804) Data 0.001 (0.009) Loss 2.0602 (1.9950) Prec@1 50.625 (48.314) Prec@5 76.875 (78.675) Epoch: [52][410/11272] Time 0.780 (0.804) Data 0.002 (0.008) Loss 2.0133 (1.9949) Prec@1 51.875 (48.344) Prec@5 76.250 (78.683) Epoch: [52][420/11272] Time 0.738 (0.804) Data 0.002 (0.008) Loss 2.0590 (1.9955) Prec@1 43.750 (48.308) Prec@5 76.250 (78.682) Epoch: [52][430/11272] Time 0.869 (0.804) Data 0.001 (0.008) Loss 1.8812 (1.9964) Prec@1 51.875 (48.242) Prec@5 78.750 (78.667) Epoch: [52][440/11272] Time 0.861 (0.804) Data 0.002 (0.008) Loss 1.7574 (1.9957) Prec@1 52.500 (48.226) Prec@5 82.500 (78.676) Epoch: [52][450/11272] Time 0.727 (0.804) Data 0.001 (0.008) Loss 1.9650 (1.9976) Prec@1 48.125 (48.165) Prec@5 83.125 (78.649) Epoch: [52][460/11272] Time 0.716 (0.803) Data 0.001 (0.008) Loss 1.9328 (1.9987) Prec@1 51.250 (48.148) Prec@5 78.750 (78.635) Epoch: [52][470/11272] Time 0.886 (0.804) Data 0.002 (0.008) Loss 2.1588 (1.9991) Prec@1 46.875 (48.161) Prec@5 75.625 (78.627) Epoch: [52][480/11272] Time 0.870 (0.804) Data 0.002 (0.007) Loss 2.2088 (1.9991) Prec@1 43.750 (48.178) Prec@5 73.125 (78.647) Epoch: [52][490/11272] Time 0.758 (0.803) Data 0.001 (0.007) Loss 1.9455 (1.9981) Prec@1 50.000 (48.208) Prec@5 77.500 (78.660) Epoch: [52][500/11272] Time 0.742 (0.803) Data 0.001 (0.007) Loss 2.1320 (1.9989) Prec@1 45.000 (48.162) Prec@5 75.000 (78.635) Epoch: [52][510/11272] Time 0.890 (0.803) Data 0.002 (0.007) Loss 1.9873 (1.9995) Prec@1 48.750 (48.157) Prec@5 75.000 (78.626) Epoch: [52][520/11272] Time 0.830 (0.803) Data 0.001 (0.007) Loss 1.9339 (2.0007) Prec@1 47.500 (48.115) Prec@5 80.000 (78.625) Epoch: [52][530/11272] Time 0.729 (0.803) Data 0.002 (0.007) Loss 2.0989 (2.0012) Prec@1 46.250 (48.116) Prec@5 79.375 (78.610) Epoch: [52][540/11272] Time 0.785 (0.803) Data 0.002 (0.007) Loss 1.8694 (2.0005) Prec@1 48.750 (48.131) Prec@5 82.500 (78.625) Epoch: [52][550/11272] Time 0.846 (0.803) Data 0.003 (0.007) Loss 1.9607 (2.0009) Prec@1 48.750 (48.125) Prec@5 77.500 (78.632) Epoch: [52][560/11272] Time 0.782 (0.802) Data 0.002 (0.007) Loss 2.1383 (2.0019) Prec@1 44.375 (48.092) Prec@5 78.125 (78.630) Epoch: [52][570/11272] Time 0.761 (0.802) Data 0.002 (0.007) Loss 2.0451 (2.0012) Prec@1 45.625 (48.101) Prec@5 81.250 (78.636) Epoch: [52][580/11272] Time 0.860 (0.802) Data 0.001 (0.006) Loss 2.0833 (2.0020) Prec@1 44.375 (48.081) Prec@5 78.750 (78.619) Epoch: [52][590/11272] Time 0.868 (0.802) Data 0.002 (0.006) Loss 2.0009 (2.0025) Prec@1 50.000 (48.070) Prec@5 78.750 (78.604) Epoch: [52][600/11272] Time 0.724 (0.802) Data 0.002 (0.006) Loss 2.0340 (2.0018) Prec@1 45.000 (48.067) Prec@5 75.000 (78.613) Epoch: [52][610/11272] Time 0.773 (0.802) Data 0.001 (0.006) Loss 1.9016 (2.0025) Prec@1 48.750 (48.063) Prec@5 79.375 (78.611) Epoch: [52][620/11272] Time 0.833 (0.802) Data 0.001 (0.006) Loss 1.9726 (2.0028) Prec@1 49.375 (48.043) Prec@5 80.000 (78.611) Epoch: [52][630/11272] Time 0.834 (0.802) Data 0.001 (0.006) Loss 1.9618 (2.0028) Prec@1 47.500 (48.043) Prec@5 78.125 (78.619) Epoch: [52][640/11272] Time 0.731 (0.802) Data 0.001 (0.006) Loss 2.1716 (2.0035) Prec@1 46.875 (48.043) Prec@5 74.375 (78.615) Epoch: [52][650/11272] Time 0.730 (0.802) Data 0.001 (0.006) Loss 2.0028 (2.0046) Prec@1 49.375 (48.001) Prec@5 79.375 (78.594) Epoch: [52][660/11272] Time 0.816 (0.802) Data 0.001 (0.006) Loss 1.9013 (2.0050) Prec@1 51.875 (47.992) Prec@5 81.250 (78.568) Epoch: [52][670/11272] Time 0.732 (0.801) Data 0.003 (0.006) Loss 2.0487 (2.0052) Prec@1 50.000 (48.014) Prec@5 79.375 (78.568) Epoch: [52][680/11272] Time 0.730 (0.801) Data 0.002 (0.006) Loss 1.8733 (2.0048) Prec@1 50.000 (48.038) Prec@5 80.625 (78.588) Epoch: [52][690/11272] Time 0.859 (0.801) Data 0.002 (0.006) Loss 2.0334 (2.0045) Prec@1 44.375 (48.058) Prec@5 80.625 (78.586) Epoch: [52][700/11272] Time 0.820 (0.801) Data 0.001 (0.006) Loss 1.9483 (2.0048) Prec@1 45.000 (48.047) Prec@5 79.375 (78.592) Epoch: [52][710/11272] Time 0.737 (0.801) Data 0.002 (0.006) Loss 1.9319 (2.0048) Prec@1 52.500 (48.061) Prec@5 78.750 (78.580) Epoch: [52][720/11272] Time 0.732 (0.801) Data 0.002 (0.005) Loss 2.2864 (2.0053) Prec@1 45.625 (48.067) Prec@5 74.375 (78.579) Epoch: [52][730/11272] Time 0.855 (0.801) Data 0.001 (0.005) Loss 1.7245 (2.0052) Prec@1 54.375 (48.070) Prec@5 85.000 (78.588) Epoch: [52][740/11272] Time 0.886 (0.801) Data 0.002 (0.005) Loss 1.9741 (2.0053) Prec@1 51.875 (48.085) Prec@5 75.000 (78.584) Epoch: [52][750/11272] Time 0.728 (0.800) Data 0.001 (0.005) Loss 1.9228 (2.0047) Prec@1 51.875 (48.098) Prec@5 76.875 (78.584) Epoch: [52][760/11272] Time 0.728 (0.800) Data 0.001 (0.005) Loss 1.6990 (2.0034) Prec@1 53.750 (48.118) Prec@5 84.375 (78.617) Epoch: [52][770/11272] Time 0.831 (0.800) Data 0.002 (0.005) Loss 1.9189 (2.0044) Prec@1 50.625 (48.109) Prec@5 78.125 (78.602) Epoch: [52][780/11272] Time 0.822 (0.800) Data 0.001 (0.005) Loss 2.0417 (2.0034) Prec@1 52.500 (48.157) Prec@5 75.000 (78.617) Epoch: [52][790/11272] Time 0.740 (0.800) Data 0.002 (0.005) Loss 2.0111 (2.0033) Prec@1 51.250 (48.162) Prec@5 76.875 (78.623) Epoch: [52][800/11272] Time 0.809 (0.800) Data 0.001 (0.005) Loss 1.9748 (2.0033) Prec@1 43.750 (48.167) Prec@5 77.500 (78.623) Epoch: [52][810/11272] Time 0.858 (0.800) Data 0.002 (0.005) Loss 2.0071 (2.0039) Prec@1 46.250 (48.137) Prec@5 78.750 (78.625) Epoch: [52][820/11272] Time 0.723 (0.800) Data 0.001 (0.005) Loss 1.9638 (2.0036) Prec@1 53.750 (48.141) Prec@5 79.375 (78.630) Epoch: [52][830/11272] Time 0.747 (0.800) Data 0.002 (0.005) Loss 2.0211 (2.0036) Prec@1 50.625 (48.160) Prec@5 81.250 (78.622) Epoch: [52][840/11272] Time 0.853 (0.800) Data 0.001 (0.005) Loss 2.2613 (2.0048) Prec@1 46.250 (48.146) Prec@5 70.625 (78.604) Epoch: [52][850/11272] Time 0.814 (0.800) Data 0.001 (0.005) Loss 2.1164 (2.0041) Prec@1 45.000 (48.142) Prec@5 75.625 (78.613) Epoch: [52][860/11272] Time 0.733 (0.800) Data 0.002 (0.005) Loss 2.1133 (2.0046) Prec@1 48.125 (48.140) Prec@5 75.625 (78.608) Epoch: [52][870/11272] Time 0.706 (0.800) Data 0.001 (0.005) Loss 1.9929 (2.0042) Prec@1 43.750 (48.141) Prec@5 81.250 (78.627) Epoch: [52][880/11272] Time 0.805 (0.800) Data 0.001 (0.005) Loss 1.9600 (2.0045) Prec@1 51.250 (48.147) Prec@5 79.375 (78.612) Epoch: [52][890/11272] Time 0.801 (0.800) Data 0.001 (0.005) Loss 1.9438 (2.0048) Prec@1 48.750 (48.143) Prec@5 76.875 (78.597) Epoch: [52][900/11272] Time 0.743 (0.800) Data 0.001 (0.005) Loss 1.8905 (2.0051) Prec@1 48.125 (48.129) Prec@5 83.125 (78.595) Epoch: [52][910/11272] Time 0.772 (0.800) Data 0.002 (0.005) Loss 2.1817 (2.0050) Prec@1 45.000 (48.125) Prec@5 73.750 (78.600) Epoch: [52][920/11272] Time 0.838 (0.800) Data 0.001 (0.005) Loss 2.0597 (2.0046) Prec@1 50.000 (48.149) Prec@5 79.375 (78.601) Epoch: [52][930/11272] Time 0.738 (0.800) Data 0.003 (0.005) Loss 1.8250 (2.0042) Prec@1 52.500 (48.161) Prec@5 84.375 (78.612) Epoch: [52][940/11272] Time 0.787 (0.800) Data 0.001 (0.005) Loss 2.2305 (2.0044) Prec@1 45.625 (48.142) Prec@5 75.000 (78.615) Epoch: [52][950/11272] Time 0.830 (0.800) Data 0.002 (0.005) Loss 1.8808 (2.0036) Prec@1 48.750 (48.153) Prec@5 81.875 (78.642) Epoch: [52][960/11272] Time 0.846 (0.800) Data 0.002 (0.005) Loss 2.1129 (2.0037) Prec@1 48.750 (48.163) Prec@5 76.250 (78.626) Epoch: [52][970/11272] Time 0.763 (0.799) Data 0.002 (0.004) Loss 2.0932 (2.0037) Prec@1 50.000 (48.160) Prec@5 74.375 (78.622) Epoch: [52][980/11272] Time 0.732 (0.799) Data 0.001 (0.004) Loss 1.6828 (2.0029) Prec@1 56.250 (48.173) Prec@5 85.625 (78.637) Epoch: [52][990/11272] Time 0.841 (0.799) Data 0.001 (0.004) Loss 1.9439 (2.0027) Prec@1 51.875 (48.186) Prec@5 79.375 (78.640) Epoch: [52][1000/11272] Time 0.846 (0.799) Data 0.001 (0.004) Loss 1.8187 (2.0028) Prec@1 51.250 (48.181) Prec@5 84.375 (78.633) Epoch: [52][1010/11272] Time 0.741 (0.799) Data 0.002 (0.004) Loss 1.9328 (2.0029) Prec@1 50.000 (48.175) Prec@5 81.875 (78.629) Epoch: [52][1020/11272] Time 0.796 (0.799) Data 0.002 (0.004) Loss 1.7915 (2.0025) Prec@1 48.750 (48.206) Prec@5 82.500 (78.625) Epoch: [52][1030/11272] Time 0.837 (0.799) Data 0.001 (0.004) Loss 2.0266 (2.0029) Prec@1 43.125 (48.210) Prec@5 81.250 (78.612) Epoch: [52][1040/11272] Time 0.826 (0.799) Data 0.002 (0.004) Loss 2.0524 (2.0030) Prec@1 46.250 (48.207) Prec@5 78.125 (78.614) Epoch: [52][1050/11272] Time 0.736 (0.799) Data 0.002 (0.004) Loss 1.8877 (2.0027) Prec@1 52.500 (48.227) Prec@5 80.625 (78.613) Epoch: [52][1060/11272] Time 0.910 (0.799) Data 0.002 (0.004) Loss 1.9010 (2.0023) Prec@1 51.875 (48.233) Prec@5 79.375 (78.613) Epoch: [52][1070/11272] Time 0.796 (0.799) Data 0.002 (0.004) Loss 1.9094 (2.0022) Prec@1 51.875 (48.232) Prec@5 80.000 (78.607) Epoch: [52][1080/11272] Time 0.733 (0.799) Data 0.001 (0.004) Loss 1.9767 (2.0018) Prec@1 53.750 (48.242) Prec@5 75.625 (78.614) Epoch: [52][1090/11272] Time 0.721 (0.799) Data 0.001 (0.004) Loss 1.9085 (2.0019) Prec@1 48.750 (48.228) Prec@5 82.500 (78.618) Epoch: [52][1100/11272] Time 0.843 (0.799) Data 0.001 (0.004) Loss 1.9169 (2.0020) Prec@1 51.250 (48.223) Prec@5 79.375 (78.619) Epoch: [52][1110/11272] Time 0.897 (0.799) Data 0.002 (0.004) Loss 2.1516 (2.0019) Prec@1 44.375 (48.213) Prec@5 78.750 (78.624) Epoch: [52][1120/11272] Time 0.728 (0.799) Data 0.002 (0.004) Loss 2.1143 (2.0024) Prec@1 45.625 (48.212) Prec@5 78.750 (78.622) Epoch: [52][1130/11272] Time 0.733 (0.799) Data 0.001 (0.004) Loss 2.0810 (2.0017) Prec@1 47.500 (48.213) Prec@5 75.625 (78.636) Epoch: [52][1140/11272] Time 0.868 (0.799) Data 0.002 (0.004) Loss 1.9759 (2.0025) Prec@1 48.125 (48.207) Prec@5 77.500 (78.620) Epoch: [52][1150/11272] Time 0.828 (0.799) Data 0.001 (0.004) Loss 2.1491 (2.0027) Prec@1 46.875 (48.200) Prec@5 79.375 (78.622) Epoch: [52][1160/11272] Time 0.766 (0.799) Data 0.002 (0.004) Loss 2.0368 (2.0029) Prec@1 45.000 (48.198) Prec@5 77.500 (78.620) Epoch: [52][1170/11272] Time 0.756 (0.799) Data 0.002 (0.004) Loss 1.8223 (2.0026) Prec@1 50.000 (48.216) Prec@5 81.875 (78.632) Epoch: [52][1180/11272] Time 0.834 (0.799) Data 0.001 (0.004) Loss 2.0856 (2.0026) Prec@1 45.000 (48.221) Prec@5 79.375 (78.634) Epoch: [52][1190/11272] Time 0.826 (0.799) Data 0.002 (0.004) Loss 1.9482 (2.0029) Prec@1 50.625 (48.216) Prec@5 79.375 (78.625) Epoch: [52][1200/11272] Time 0.736 (0.799) Data 0.001 (0.004) Loss 2.1282 (2.0029) Prec@1 46.875 (48.214) Prec@5 77.500 (78.625) Epoch: [52][1210/11272] Time 0.850 (0.799) Data 0.002 (0.004) Loss 1.8590 (2.0029) Prec@1 53.125 (48.224) Prec@5 80.000 (78.619) Epoch: [52][1220/11272] Time 0.871 (0.799) Data 0.002 (0.004) Loss 2.2092 (2.0027) Prec@1 44.375 (48.229) Prec@5 76.250 (78.630) Epoch: [52][1230/11272] Time 0.730 (0.799) Data 0.001 (0.004) Loss 2.1316 (2.0032) Prec@1 52.500 (48.221) Prec@5 81.250 (78.627) Epoch: [52][1240/11272] Time 0.736 (0.799) Data 0.002 (0.004) Loss 1.9834 (2.0038) Prec@1 50.625 (48.206) Prec@5 78.125 (78.611) Epoch: [52][1250/11272] Time 0.860 (0.799) Data 0.001 (0.004) Loss 2.3640 (2.0038) Prec@1 41.250 (48.202) Prec@5 73.125 (78.611) Epoch: [52][1260/11272] Time 0.852 (0.799) Data 0.001 (0.004) Loss 1.8098 (2.0035) Prec@1 46.250 (48.218) Prec@5 86.875 (78.619) Epoch: [52][1270/11272] Time 0.761 (0.799) Data 0.002 (0.004) Loss 2.0174 (2.0035) Prec@1 44.375 (48.218) Prec@5 81.250 (78.623) Epoch: [52][1280/11272] Time 0.735 (0.799) Data 0.001 (0.004) Loss 2.1299 (2.0030) Prec@1 41.250 (48.229) Prec@5 81.250 (78.636) Epoch: [52][1290/11272] Time 0.870 (0.799) Data 0.002 (0.004) Loss 1.9002 (2.0030) Prec@1 50.625 (48.232) Prec@5 79.375 (78.632) Epoch: [52][1300/11272] Time 0.811 (0.799) Data 0.002 (0.004) Loss 1.9632 (2.0027) Prec@1 44.375 (48.236) Prec@5 77.500 (78.637) Epoch: [52][1310/11272] Time 0.715 (0.799) Data 0.001 (0.004) Loss 2.1851 (2.0031) Prec@1 42.500 (48.234) Prec@5 78.750 (78.628) Epoch: [52][1320/11272] Time 0.758 (0.799) Data 0.001 (0.004) Loss 2.1035 (2.0026) Prec@1 46.250 (48.241) Prec@5 78.125 (78.632) Epoch: [52][1330/11272] Time 0.855 (0.799) Data 0.001 (0.004) Loss 2.1177 (2.0029) Prec@1 47.500 (48.242) Prec@5 75.000 (78.624) Epoch: [52][1340/11272] Time 0.788 (0.799) Data 0.001 (0.004) Loss 2.0330 (2.0027) Prec@1 51.250 (48.253) Prec@5 73.750 (78.621) Epoch: [52][1350/11272] Time 0.725 (0.799) Data 0.001 (0.004) Loss 1.8617 (2.0029) Prec@1 54.375 (48.259) Prec@5 78.750 (78.614) Epoch: [52][1360/11272] Time 0.880 (0.799) Data 0.001 (0.004) Loss 1.8875 (2.0025) Prec@1 50.625 (48.275) Prec@5 80.625 (78.620) Epoch: [52][1370/11272] Time 0.852 (0.799) Data 0.001 (0.004) Loss 1.9141 (2.0022) Prec@1 48.750 (48.285) Prec@5 81.875 (78.624) Epoch: [52][1380/11272] Time 0.737 (0.799) Data 0.001 (0.004) Loss 1.9082 (2.0023) Prec@1 48.750 (48.283) Prec@5 81.875 (78.623) Epoch: [52][1390/11272] Time 0.747 (0.799) Data 0.001 (0.004) Loss 2.1171 (2.0025) Prec@1 48.750 (48.283) Prec@5 72.500 (78.614) Epoch: [52][1400/11272] Time 0.840 (0.799) Data 0.001 (0.004) Loss 2.0879 (2.0020) Prec@1 45.625 (48.285) Prec@5 73.125 (78.624) Epoch: [52][1410/11272] Time 0.833 (0.799) Data 0.001 (0.004) Loss 2.0169 (2.0020) Prec@1 47.500 (48.283) Prec@5 79.375 (78.627) Epoch: [52][1420/11272] Time 0.723 (0.799) Data 0.002 (0.004) Loss 2.0017 (2.0023) Prec@1 51.250 (48.282) Prec@5 76.875 (78.603) Epoch: [52][1430/11272] Time 0.759 (0.799) Data 0.002 (0.004) Loss 1.9346 (2.0018) Prec@1 50.000 (48.287) Prec@5 80.625 (78.615) Epoch: [52][1440/11272] Time 0.840 (0.799) Data 0.002 (0.004) Loss 1.7654 (2.0017) Prec@1 54.375 (48.295) Prec@5 81.250 (78.618) Epoch: [52][1450/11272] Time 0.865 (0.799) Data 0.002 (0.004) Loss 1.8780 (2.0018) Prec@1 53.125 (48.284) Prec@5 80.000 (78.622) Epoch: [52][1460/11272] Time 0.736 (0.799) Data 0.001 (0.004) Loss 2.2714 (2.0019) Prec@1 43.125 (48.282) Prec@5 71.250 (78.622) Epoch: [52][1470/11272] Time 0.834 (0.799) Data 0.001 (0.003) Loss 2.2363 (2.0020) Prec@1 45.000 (48.283) Prec@5 75.000 (78.620) Epoch: [52][1480/11272] Time 0.838 (0.799) Data 0.001 (0.003) Loss 2.0360 (2.0016) Prec@1 45.000 (48.287) Prec@5 80.000 (78.635) Epoch: [52][1490/11272] Time 0.718 (0.799) Data 0.001 (0.003) Loss 1.9082 (2.0019) Prec@1 50.000 (48.273) Prec@5 81.875 (78.633) Epoch: [52][1500/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 1.8975 (2.0025) Prec@1 51.250 (48.263) Prec@5 80.000 (78.628) Epoch: [52][1510/11272] Time 0.855 (0.799) Data 0.002 (0.003) Loss 2.0039 (2.0026) Prec@1 50.625 (48.267) Prec@5 79.375 (78.627) Epoch: [52][1520/11272] Time 0.838 (0.798) Data 0.002 (0.003) Loss 2.1511 (2.0025) Prec@1 41.250 (48.260) Prec@5 74.375 (78.621) Epoch: [52][1530/11272] Time 0.786 (0.799) Data 0.002 (0.003) Loss 2.0205 (2.0029) Prec@1 44.375 (48.245) Prec@5 81.875 (78.623) Epoch: [52][1540/11272] Time 0.713 (0.798) Data 0.001 (0.003) Loss 2.2016 (2.0028) Prec@1 45.625 (48.248) Prec@5 74.375 (78.625) Epoch: [52][1550/11272] Time 0.850 (0.799) Data 0.002 (0.003) Loss 1.9992 (2.0035) Prec@1 48.750 (48.234) Prec@5 77.500 (78.614) Epoch: [52][1560/11272] Time 0.868 (0.799) Data 0.002 (0.003) Loss 1.8795 (2.0037) Prec@1 48.750 (48.234) Prec@5 79.375 (78.604) Epoch: [52][1570/11272] Time 0.745 (0.798) Data 0.001 (0.003) Loss 1.9504 (2.0039) Prec@1 49.375 (48.223) Prec@5 78.125 (78.603) Epoch: [52][1580/11272] Time 0.714 (0.798) Data 0.002 (0.003) Loss 2.0140 (2.0038) Prec@1 51.250 (48.232) Prec@5 78.125 (78.605) Epoch: [52][1590/11272] Time 0.865 (0.799) Data 0.001 (0.003) Loss 1.9530 (2.0037) Prec@1 52.500 (48.240) Prec@5 82.500 (78.609) Epoch: [52][1600/11272] Time 0.716 (0.798) Data 0.002 (0.003) Loss 1.9682 (2.0042) Prec@1 44.375 (48.231) Prec@5 82.500 (78.602) Epoch: [52][1610/11272] Time 0.748 (0.798) Data 0.002 (0.003) Loss 1.9867 (2.0043) Prec@1 45.000 (48.230) Prec@5 78.750 (78.601) Epoch: [52][1620/11272] Time 0.871 (0.798) Data 0.001 (0.003) Loss 1.9731 (2.0043) Prec@1 48.750 (48.222) Prec@5 79.375 (78.602) Epoch: [52][1630/11272] Time 0.832 (0.798) Data 0.001 (0.003) Loss 1.8136 (2.0043) Prec@1 49.375 (48.214) Prec@5 81.875 (78.598) Epoch: [52][1640/11272] Time 0.742 (0.799) Data 0.002 (0.003) Loss 2.1661 (2.0042) Prec@1 42.500 (48.206) Prec@5 78.750 (78.611) Epoch: [52][1650/11272] Time 0.751 (0.799) Data 0.002 (0.003) Loss 2.0976 (2.0048) Prec@1 41.875 (48.183) Prec@5 77.500 (78.602) Epoch: [52][1660/11272] Time 0.860 (0.799) Data 0.001 (0.003) Loss 2.0025 (2.0051) Prec@1 47.500 (48.178) Prec@5 76.250 (78.590) Epoch: [52][1670/11272] Time 0.894 (0.799) Data 0.001 (0.003) Loss 2.1380 (2.0055) Prec@1 42.500 (48.171) Prec@5 76.250 (78.579) Epoch: [52][1680/11272] Time 0.730 (0.799) Data 0.002 (0.003) Loss 2.1310 (2.0058) Prec@1 46.250 (48.164) Prec@5 76.875 (78.579) Epoch: [52][1690/11272] Time 0.723 (0.798) Data 0.002 (0.003) Loss 1.8850 (2.0055) Prec@1 51.875 (48.170) Prec@5 80.625 (78.581) Epoch: [52][1700/11272] Time 0.893 (0.799) Data 0.001 (0.003) Loss 2.2180 (2.0059) Prec@1 41.875 (48.162) Prec@5 73.125 (78.572) Epoch: [52][1710/11272] Time 0.849 (0.799) Data 0.001 (0.003) Loss 1.6807 (2.0056) Prec@1 53.125 (48.168) Prec@5 82.500 (78.574) Epoch: [52][1720/11272] Time 0.737 (0.799) Data 0.002 (0.003) Loss 2.0602 (2.0053) Prec@1 50.000 (48.174) Prec@5 77.500 (78.577) Epoch: [52][1730/11272] Time 0.865 (0.799) Data 0.002 (0.003) Loss 2.0740 (2.0054) Prec@1 46.875 (48.168) Prec@5 76.875 (78.582) Epoch: [52][1740/11272] Time 0.870 (0.799) Data 0.002 (0.003) Loss 1.9264 (2.0052) Prec@1 48.125 (48.171) Prec@5 83.125 (78.585) Epoch: [52][1750/11272] Time 0.745 (0.799) Data 0.001 (0.003) Loss 2.0590 (2.0050) Prec@1 50.625 (48.180) Prec@5 73.750 (78.586) Epoch: [52][1760/11272] Time 0.778 (0.799) Data 0.002 (0.003) Loss 1.8111 (2.0049) Prec@1 50.625 (48.180) Prec@5 81.250 (78.592) Epoch: [52][1770/11272] Time 0.860 (0.799) Data 0.001 (0.003) Loss 2.0384 (2.0053) Prec@1 51.250 (48.175) Prec@5 75.000 (78.585) Epoch: [52][1780/11272] Time 0.843 (0.799) Data 0.001 (0.003) Loss 1.9881 (2.0049) Prec@1 43.750 (48.181) Prec@5 80.000 (78.593) Epoch: [52][1790/11272] Time 0.720 (0.798) Data 0.001 (0.003) Loss 1.6293 (2.0050) Prec@1 55.000 (48.181) Prec@5 84.375 (78.590) Epoch: [52][1800/11272] Time 0.749 (0.798) Data 0.002 (0.003) Loss 1.8857 (2.0049) Prec@1 48.750 (48.180) Prec@5 83.750 (78.592) Epoch: [52][1810/11272] Time 0.880 (0.798) Data 0.002 (0.003) Loss 1.8969 (2.0049) Prec@1 51.875 (48.186) Prec@5 81.250 (78.591) Epoch: [52][1820/11272] Time 0.796 (0.798) Data 0.001 (0.003) Loss 2.0030 (2.0051) Prec@1 48.125 (48.176) Prec@5 78.125 (78.588) Epoch: [52][1830/11272] Time 0.765 (0.798) Data 0.002 (0.003) Loss 2.0274 (2.0048) Prec@1 50.625 (48.179) Prec@5 78.750 (78.596) Epoch: [52][1840/11272] Time 0.741 (0.798) Data 0.002 (0.003) Loss 1.8422 (2.0050) Prec@1 53.750 (48.178) Prec@5 76.875 (78.589) Epoch: [52][1850/11272] Time 0.806 (0.798) Data 0.001 (0.003) Loss 1.9994 (2.0051) Prec@1 48.750 (48.175) Prec@5 80.000 (78.588) Epoch: [52][1860/11272] Time 0.750 (0.798) Data 0.004 (0.003) Loss 1.9263 (2.0051) Prec@1 50.625 (48.186) Prec@5 81.875 (78.595) Epoch: [52][1870/11272] Time 0.726 (0.798) Data 0.002 (0.003) Loss 1.8968 (2.0050) Prec@1 47.500 (48.189) Prec@5 84.375 (78.598) Epoch: [52][1880/11272] Time 0.877 (0.798) Data 0.002 (0.003) Loss 1.6797 (2.0048) Prec@1 60.625 (48.194) Prec@5 83.750 (78.609) Epoch: [52][1890/11272] Time 0.856 (0.798) Data 0.002 (0.003) Loss 2.1085 (2.0051) Prec@1 48.750 (48.187) Prec@5 78.125 (78.610) Epoch: [52][1900/11272] Time 0.736 (0.798) Data 0.002 (0.003) Loss 2.4284 (2.0056) Prec@1 41.250 (48.181) Prec@5 68.750 (78.603) Epoch: [52][1910/11272] Time 0.759 (0.798) Data 0.002 (0.003) Loss 2.1139 (2.0053) Prec@1 43.750 (48.194) Prec@5 78.750 (78.607) Epoch: [52][1920/11272] Time 0.841 (0.798) Data 0.002 (0.003) Loss 2.0408 (2.0056) Prec@1 50.000 (48.191) Prec@5 76.875 (78.602) Epoch: [52][1930/11272] Time 0.836 (0.798) Data 0.001 (0.003) Loss 1.8490 (2.0055) Prec@1 53.750 (48.193) Prec@5 82.500 (78.600) Epoch: [52][1940/11272] Time 0.729 (0.798) Data 0.002 (0.003) Loss 1.7900 (2.0056) Prec@1 53.125 (48.185) Prec@5 78.125 (78.599) Epoch: [52][1950/11272] Time 0.735 (0.798) Data 0.001 (0.003) Loss 1.8950 (2.0056) Prec@1 47.500 (48.187) Prec@5 78.750 (78.596) Epoch: [52][1960/11272] Time 0.818 (0.798) Data 0.001 (0.003) Loss 2.0962 (2.0059) Prec@1 50.625 (48.180) Prec@5 73.750 (78.586) Epoch: [52][1970/11272] Time 0.828 (0.798) Data 0.002 (0.003) Loss 2.1966 (2.0061) Prec@1 42.500 (48.173) Prec@5 75.625 (78.583) Epoch: [52][1980/11272] Time 0.710 (0.798) Data 0.001 (0.003) Loss 1.8313 (2.0063) Prec@1 55.000 (48.172) Prec@5 82.500 (78.578) Epoch: [52][1990/11272] Time 0.887 (0.798) Data 0.002 (0.003) Loss 2.0557 (2.0063) Prec@1 49.375 (48.172) Prec@5 76.875 (78.579) Epoch: [52][2000/11272] Time 0.813 (0.798) Data 0.001 (0.003) Loss 1.9425 (2.0063) Prec@1 51.875 (48.172) Prec@5 80.625 (78.576) Epoch: [52][2010/11272] Time 0.724 (0.798) Data 0.001 (0.003) Loss 2.0422 (2.0064) Prec@1 45.000 (48.163) Prec@5 80.625 (78.573) Epoch: [52][2020/11272] Time 0.727 (0.798) Data 0.001 (0.003) Loss 2.1357 (2.0065) Prec@1 45.000 (48.165) Prec@5 78.125 (78.570) Epoch: [52][2030/11272] Time 0.950 (0.798) Data 0.002 (0.003) Loss 2.0312 (2.0067) Prec@1 52.500 (48.167) Prec@5 78.125 (78.566) Epoch: [52][2040/11272] Time 0.857 (0.798) Data 0.002 (0.003) Loss 2.1233 (2.0069) Prec@1 40.000 (48.162) Prec@5 74.375 (78.559) Epoch: [52][2050/11272] Time 0.763 (0.798) Data 0.002 (0.003) Loss 2.1295 (2.0067) Prec@1 46.875 (48.165) Prec@5 75.000 (78.559) Epoch: [52][2060/11272] Time 0.733 (0.798) Data 0.001 (0.003) Loss 2.1814 (2.0068) Prec@1 47.500 (48.167) Prec@5 71.875 (78.557) Epoch: [52][2070/11272] Time 0.831 (0.798) Data 0.001 (0.003) Loss 1.8191 (2.0071) Prec@1 48.125 (48.156) Prec@5 81.875 (78.553) Epoch: [52][2080/11272] Time 0.818 (0.798) Data 0.001 (0.003) Loss 1.7030 (2.0070) Prec@1 53.750 (48.153) Prec@5 83.750 (78.554) Epoch: [52][2090/11272] Time 0.740 (0.798) Data 0.001 (0.003) Loss 1.8067 (2.0071) Prec@1 58.125 (48.150) Prec@5 77.500 (78.549) Epoch: [52][2100/11272] Time 0.721 (0.798) Data 0.001 (0.003) Loss 2.0690 (2.0070) Prec@1 45.625 (48.151) Prec@5 78.750 (78.550) Epoch: [52][2110/11272] Time 0.834 (0.798) Data 0.004 (0.003) Loss 1.8526 (2.0069) Prec@1 54.375 (48.149) Prec@5 83.125 (78.555) Epoch: [52][2120/11272] Time 0.881 (0.798) Data 0.002 (0.003) Loss 2.1098 (2.0068) Prec@1 43.125 (48.147) Prec@5 76.875 (78.552) Epoch: [52][2130/11272] Time 0.745 (0.798) Data 0.002 (0.003) Loss 1.8576 (2.0070) Prec@1 46.250 (48.145) Prec@5 81.875 (78.551) Epoch: [52][2140/11272] Time 0.911 (0.798) Data 0.002 (0.003) Loss 1.7963 (2.0067) Prec@1 56.875 (48.152) Prec@5 81.250 (78.555) Epoch: [52][2150/11272] Time 0.836 (0.798) Data 0.001 (0.003) Loss 1.9581 (2.0066) Prec@1 47.500 (48.162) Prec@5 79.375 (78.558) Epoch: [52][2160/11272] Time 0.747 (0.798) Data 0.001 (0.003) Loss 1.9376 (2.0068) Prec@1 51.875 (48.159) Prec@5 78.125 (78.548) Epoch: [52][2170/11272] Time 0.727 (0.798) Data 0.002 (0.003) Loss 1.9379 (2.0069) Prec@1 49.375 (48.156) Prec@5 78.125 (78.547) Epoch: [52][2180/11272] Time 0.815 (0.798) Data 0.002 (0.003) Loss 2.0850 (2.0073) Prec@1 48.750 (48.147) Prec@5 77.500 (78.541) Epoch: [52][2190/11272] Time 0.821 (0.798) Data 0.001 (0.003) Loss 1.9914 (2.0074) Prec@1 45.000 (48.142) Prec@5 78.125 (78.539) Epoch: [52][2200/11272] Time 0.744 (0.798) Data 0.002 (0.003) Loss 1.9823 (2.0075) Prec@1 46.875 (48.140) Prec@5 77.500 (78.532) Epoch: [52][2210/11272] Time 0.757 (0.798) Data 0.002 (0.003) Loss 2.0317 (2.0073) Prec@1 47.500 (48.145) Prec@5 80.625 (78.536) Epoch: [52][2220/11272] Time 0.863 (0.798) Data 0.002 (0.003) Loss 2.0136 (2.0075) Prec@1 46.250 (48.141) Prec@5 80.625 (78.536) Epoch: [52][2230/11272] Time 0.857 (0.798) Data 0.002 (0.003) Loss 2.2224 (2.0078) Prec@1 40.000 (48.132) Prec@5 74.375 (78.528) Epoch: [52][2240/11272] Time 0.723 (0.798) Data 0.001 (0.003) Loss 1.9304 (2.0078) Prec@1 45.625 (48.125) Prec@5 81.875 (78.529) Epoch: [52][2250/11272] Time 0.765 (0.798) Data 0.002 (0.003) Loss 2.1156 (2.0078) Prec@1 46.250 (48.123) Prec@5 78.125 (78.525) Epoch: [52][2260/11272] Time 0.884 (0.798) Data 0.002 (0.003) Loss 2.1109 (2.0078) Prec@1 51.250 (48.123) Prec@5 76.875 (78.525) Epoch: [52][2270/11272] Time 0.729 (0.798) Data 0.002 (0.003) Loss 2.3020 (2.0082) Prec@1 43.125 (48.118) Prec@5 71.250 (78.514) Epoch: [52][2280/11272] Time 0.739 (0.798) Data 0.002 (0.003) Loss 1.8147 (2.0084) Prec@1 47.500 (48.108) Prec@5 79.375 (78.511) Epoch: [52][2290/11272] Time 0.896 (0.798) Data 0.001 (0.003) Loss 2.2805 (2.0086) Prec@1 41.250 (48.105) Prec@5 74.375 (78.512) Epoch: [52][2300/11272] Time 0.849 (0.798) Data 0.001 (0.003) Loss 2.0079 (2.0085) Prec@1 48.125 (48.102) Prec@5 78.750 (78.512) Epoch: [52][2310/11272] Time 0.750 (0.798) Data 0.002 (0.003) Loss 2.0284 (2.0087) Prec@1 48.750 (48.097) Prec@5 75.625 (78.509) Epoch: [52][2320/11272] Time 0.764 (0.798) Data 0.002 (0.003) Loss 1.7017 (2.0088) Prec@1 55.000 (48.091) Prec@5 85.000 (78.509) Epoch: [52][2330/11272] Time 0.883 (0.798) Data 0.002 (0.003) Loss 1.8653 (2.0084) Prec@1 51.250 (48.098) Prec@5 80.000 (78.514) Epoch: [52][2340/11272] Time 0.835 (0.798) Data 0.001 (0.003) Loss 1.8528 (2.0084) Prec@1 53.750 (48.101) Prec@5 78.750 (78.513) Epoch: [52][2350/11272] Time 0.747 (0.798) Data 0.002 (0.003) Loss 2.0958 (2.0086) Prec@1 45.625 (48.096) Prec@5 75.000 (78.514) Epoch: [52][2360/11272] Time 0.737 (0.798) Data 0.001 (0.003) Loss 1.7158 (2.0086) Prec@1 53.750 (48.096) Prec@5 83.750 (78.510) Epoch: [52][2370/11272] Time 0.844 (0.798) Data 0.001 (0.003) Loss 2.0401 (2.0089) Prec@1 50.625 (48.094) Prec@5 78.750 (78.505) Epoch: [52][2380/11272] Time 0.844 (0.798) Data 0.001 (0.003) Loss 2.1471 (2.0090) Prec@1 50.000 (48.090) Prec@5 75.625 (78.498) Epoch: [52][2390/11272] Time 0.755 (0.798) Data 0.002 (0.003) Loss 1.8317 (2.0089) Prec@1 51.250 (48.090) Prec@5 83.125 (78.499) Epoch: [52][2400/11272] Time 0.833 (0.798) Data 0.001 (0.003) Loss 1.8874 (2.0090) Prec@1 49.375 (48.084) Prec@5 78.125 (78.496) Epoch: [52][2410/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 2.1898 (2.0090) Prec@1 46.875 (48.080) Prec@5 76.250 (78.498) Epoch: [52][2420/11272] Time 0.738 (0.798) Data 0.001 (0.003) Loss 2.2665 (2.0090) Prec@1 42.500 (48.084) Prec@5 73.750 (78.501) Epoch: [52][2430/11272] Time 0.749 (0.799) Data 0.001 (0.003) Loss 2.0635 (2.0090) Prec@1 48.750 (48.084) Prec@5 80.000 (78.501) Epoch: [52][2440/11272] Time 0.929 (0.799) Data 0.002 (0.003) Loss 2.0944 (2.0090) Prec@1 46.875 (48.082) Prec@5 80.000 (78.505) Epoch: [52][2450/11272] Time 0.819 (0.799) Data 0.001 (0.003) Loss 2.0276 (2.0090) Prec@1 47.500 (48.080) Prec@5 76.875 (78.504) Epoch: [52][2460/11272] Time 0.790 (0.799) Data 0.001 (0.003) Loss 2.0175 (2.0092) Prec@1 48.750 (48.074) Prec@5 76.250 (78.505) Epoch: [52][2470/11272] Time 0.774 (0.799) Data 0.002 (0.003) Loss 1.8023 (2.0091) Prec@1 49.375 (48.071) Prec@5 83.750 (78.508) Epoch: [52][2480/11272] Time 0.831 (0.799) Data 0.002 (0.003) Loss 2.0604 (2.0092) Prec@1 46.875 (48.067) Prec@5 76.875 (78.504) Epoch: [52][2490/11272] Time 0.844 (0.799) Data 0.002 (0.003) Loss 2.0708 (2.0091) Prec@1 46.250 (48.065) Prec@5 75.625 (78.506) Epoch: [52][2500/11272] Time 0.753 (0.799) Data 0.001 (0.003) Loss 1.9996 (2.0094) Prec@1 46.875 (48.061) Prec@5 78.750 (78.500) Epoch: [52][2510/11272] Time 0.785 (0.799) Data 0.002 (0.003) Loss 2.2901 (2.0092) Prec@1 42.500 (48.068) Prec@5 71.875 (78.505) Epoch: [52][2520/11272] Time 0.883 (0.799) Data 0.002 (0.003) Loss 1.9544 (2.0091) Prec@1 46.875 (48.069) Prec@5 80.000 (78.509) Epoch: [52][2530/11272] Time 0.741 (0.799) Data 0.004 (0.003) Loss 2.1344 (2.0091) Prec@1 43.750 (48.067) Prec@5 77.500 (78.513) Epoch: [52][2540/11272] Time 0.727 (0.798) Data 0.001 (0.003) Loss 2.2280 (2.0093) Prec@1 40.000 (48.062) Prec@5 75.000 (78.510) Epoch: [52][2550/11272] Time 0.837 (0.799) Data 0.001 (0.003) Loss 1.9711 (2.0093) Prec@1 51.875 (48.064) Prec@5 81.875 (78.507) Epoch: [52][2560/11272] Time 0.818 (0.799) Data 0.002 (0.003) Loss 2.0366 (2.0093) Prec@1 51.250 (48.066) Prec@5 78.125 (78.506) Epoch: [52][2570/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 1.7766 (2.0092) Prec@1 49.375 (48.064) Prec@5 84.375 (78.505) Epoch: [52][2580/11272] Time 0.762 (0.799) Data 0.002 (0.003) Loss 2.0381 (2.0092) Prec@1 51.250 (48.068) Prec@5 76.250 (78.504) Epoch: [52][2590/11272] Time 0.822 (0.799) Data 0.001 (0.003) Loss 2.2084 (2.0094) Prec@1 48.750 (48.066) Prec@5 72.500 (78.498) Epoch: [52][2600/11272] Time 0.907 (0.799) Data 0.001 (0.003) Loss 2.1896 (2.0099) Prec@1 47.500 (48.057) Prec@5 76.875 (78.490) Epoch: [52][2610/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 2.0722 (2.0102) Prec@1 43.750 (48.048) Prec@5 79.375 (78.484) Epoch: [52][2620/11272] Time 0.768 (0.799) Data 0.001 (0.003) Loss 1.9140 (2.0103) Prec@1 55.625 (48.047) Prec@5 78.750 (78.483) Epoch: [52][2630/11272] Time 0.826 (0.799) Data 0.001 (0.003) Loss 2.3758 (2.0104) Prec@1 38.750 (48.044) Prec@5 71.875 (78.480) Epoch: [52][2640/11272] Time 0.828 (0.799) Data 0.001 (0.003) Loss 2.1916 (2.0104) Prec@1 45.000 (48.044) Prec@5 71.250 (78.476) Epoch: [52][2650/11272] Time 0.741 (0.799) Data 0.001 (0.003) Loss 2.2193 (2.0106) Prec@1 43.750 (48.043) Prec@5 77.500 (78.472) Epoch: [52][2660/11272] Time 0.893 (0.799) Data 0.002 (0.003) Loss 1.7906 (2.0108) Prec@1 50.000 (48.040) Prec@5 83.125 (78.466) Epoch: [52][2670/11272] Time 0.847 (0.799) Data 0.001 (0.003) Loss 2.0307 (2.0112) Prec@1 50.625 (48.031) Prec@5 74.375 (78.454) Epoch: [52][2680/11272] Time 0.746 (0.799) Data 0.001 (0.003) Loss 1.8848 (2.0114) Prec@1 49.375 (48.024) Prec@5 81.875 (78.449) Epoch: [52][2690/11272] Time 0.740 (0.799) Data 0.001 (0.003) Loss 1.8503 (2.0115) Prec@1 51.250 (48.019) Prec@5 78.750 (78.452) Epoch: [52][2700/11272] Time 0.879 (0.799) Data 0.001 (0.003) Loss 2.0428 (2.0117) Prec@1 43.750 (48.016) Prec@5 80.000 (78.449) Epoch: [52][2710/11272] Time 0.846 (0.799) Data 0.002 (0.003) Loss 1.8985 (2.0115) Prec@1 45.625 (48.017) Prec@5 78.750 (78.452) Epoch: [52][2720/11272] Time 0.736 (0.799) Data 0.002 (0.003) Loss 2.0235 (2.0115) Prec@1 49.375 (48.018) Prec@5 80.625 (78.452) Epoch: [52][2730/11272] Time 0.744 (0.799) Data 0.002 (0.003) Loss 2.1102 (2.0117) Prec@1 48.750 (48.016) Prec@5 75.000 (78.449) Epoch: [52][2740/11272] Time 0.869 (0.799) Data 0.001 (0.003) Loss 2.0407 (2.0115) Prec@1 48.750 (48.019) Prec@5 77.500 (78.455) Epoch: [52][2750/11272] Time 0.820 (0.799) Data 0.001 (0.003) Loss 2.1685 (2.0116) Prec@1 43.750 (48.014) Prec@5 78.125 (78.455) Epoch: [52][2760/11272] Time 0.753 (0.799) Data 0.002 (0.003) Loss 2.0267 (2.0119) Prec@1 48.750 (48.010) Prec@5 75.000 (78.449) Epoch: [52][2770/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 2.1917 (2.0121) Prec@1 46.250 (48.010) Prec@5 75.000 (78.446) Epoch: [52][2780/11272] Time 0.823 (0.799) Data 0.001 (0.003) Loss 1.9638 (2.0123) Prec@1 50.000 (48.006) Prec@5 78.125 (78.443) Epoch: [52][2790/11272] Time 0.777 (0.799) Data 0.009 (0.003) Loss 2.1339 (2.0125) Prec@1 46.875 (47.999) Prec@5 79.375 (78.443) Epoch: [52][2800/11272] Time 0.750 (0.799) Data 0.002 (0.003) Loss 2.0424 (2.0127) Prec@1 45.000 (47.991) Prec@5 71.250 (78.438) Epoch: [52][2810/11272] Time 0.832 (0.799) Data 0.002 (0.003) Loss 2.1266 (2.0127) Prec@1 45.000 (47.990) Prec@5 79.375 (78.442) Epoch: [52][2820/11272] Time 0.933 (0.799) Data 0.002 (0.003) Loss 2.0592 (2.0129) Prec@1 46.875 (47.989) Prec@5 77.500 (78.441) Epoch: [52][2830/11272] Time 0.730 (0.799) Data 0.001 (0.003) Loss 1.9832 (2.0131) Prec@1 48.750 (47.990) Prec@5 80.625 (78.441) Epoch: [52][2840/11272] Time 0.747 (0.799) Data 0.001 (0.003) Loss 2.1070 (2.0132) Prec@1 48.750 (47.991) Prec@5 76.875 (78.436) Epoch: [52][2850/11272] Time 0.901 (0.799) Data 0.002 (0.003) Loss 2.2092 (2.0132) Prec@1 40.625 (47.989) Prec@5 78.125 (78.438) Epoch: [52][2860/11272] Time 0.846 (0.799) Data 0.001 (0.003) Loss 2.0811 (2.0134) Prec@1 46.250 (47.990) Prec@5 76.875 (78.439) Epoch: [52][2870/11272] Time 0.766 (0.799) Data 0.002 (0.003) Loss 2.0324 (2.0137) Prec@1 52.500 (47.980) Prec@5 76.250 (78.435) Epoch: [52][2880/11272] Time 0.742 (0.799) Data 0.001 (0.003) Loss 2.1296 (2.0135) Prec@1 46.250 (47.989) Prec@5 75.000 (78.433) Epoch: [52][2890/11272] Time 0.871 (0.799) Data 0.002 (0.003) Loss 2.0930 (2.0138) Prec@1 44.375 (47.985) Prec@5 75.625 (78.428) Epoch: [52][2900/11272] Time 0.817 (0.799) Data 0.001 (0.003) Loss 2.2288 (2.0137) Prec@1 45.000 (47.992) Prec@5 80.000 (78.434) Epoch: [52][2910/11272] Time 0.749 (0.799) Data 0.002 (0.003) Loss 1.8088 (2.0136) Prec@1 52.500 (47.992) Prec@5 81.875 (78.432) Epoch: [52][2920/11272] Time 0.873 (0.799) Data 0.001 (0.003) Loss 1.7890 (2.0136) Prec@1 56.250 (48.000) Prec@5 81.875 (78.430) Epoch: [52][2930/11272] Time 0.888 (0.799) Data 0.002 (0.003) Loss 2.0173 (2.0138) Prec@1 46.875 (47.999) Prec@5 78.125 (78.426) Epoch: [52][2940/11272] Time 0.725 (0.799) Data 0.001 (0.003) Loss 1.9841 (2.0138) Prec@1 47.500 (47.995) Prec@5 82.500 (78.425) Epoch: [52][2950/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 2.2359 (2.0139) Prec@1 46.875 (47.998) Prec@5 71.875 (78.423) Epoch: [52][2960/11272] Time 0.828 (0.799) Data 0.002 (0.003) Loss 2.1642 (2.0142) Prec@1 44.375 (47.991) Prec@5 76.875 (78.418) Epoch: [52][2970/11272] Time 0.873 (0.799) Data 0.002 (0.003) Loss 1.9887 (2.0143) Prec@1 46.875 (47.987) Prec@5 81.250 (78.417) Epoch: [52][2980/11272] Time 0.737 (0.799) Data 0.001 (0.003) Loss 1.8601 (2.0142) Prec@1 49.375 (47.988) Prec@5 80.625 (78.416) Epoch: [52][2990/11272] Time 0.735 (0.799) Data 0.001 (0.003) Loss 2.2779 (2.0142) Prec@1 40.625 (47.987) Prec@5 74.375 (78.416) Epoch: [52][3000/11272] Time 0.844 (0.799) Data 0.002 (0.003) Loss 2.2190 (2.0144) Prec@1 44.375 (47.984) Prec@5 78.750 (78.412) Epoch: [52][3010/11272] Time 0.868 (0.799) Data 0.002 (0.003) Loss 2.0012 (2.0142) Prec@1 50.625 (47.991) Prec@5 76.875 (78.415) Epoch: [52][3020/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 1.9613 (2.0142) Prec@1 48.125 (47.988) Prec@5 75.625 (78.412) Epoch: [52][3030/11272] Time 0.733 (0.799) Data 0.001 (0.003) Loss 2.2790 (2.0143) Prec@1 45.625 (47.990) Prec@5 76.250 (78.406) Epoch: [52][3040/11272] Time 0.873 (0.799) Data 0.002 (0.003) Loss 1.7847 (2.0142) Prec@1 48.125 (47.994) Prec@5 84.375 (78.410) Epoch: [52][3050/11272] Time 0.850 (0.799) Data 0.003 (0.003) Loss 2.1300 (2.0144) Prec@1 50.625 (47.988) Prec@5 74.375 (78.409) Epoch: [52][3060/11272] Time 0.773 (0.799) Data 0.002 (0.003) Loss 1.7729 (2.0143) Prec@1 52.500 (47.989) Prec@5 80.625 (78.407) Epoch: [52][3070/11272] Time 0.957 (0.799) Data 0.002 (0.003) Loss 1.8984 (2.0140) Prec@1 55.000 (47.991) Prec@5 78.125 (78.412) Epoch: [52][3080/11272] Time 0.853 (0.799) Data 0.001 (0.003) Loss 2.0422 (2.0143) Prec@1 51.250 (47.988) Prec@5 80.625 (78.408) Epoch: [52][3090/11272] Time 0.739 (0.799) Data 0.001 (0.003) Loss 1.9635 (2.0143) Prec@1 51.875 (47.990) Prec@5 79.375 (78.403) Epoch: [52][3100/11272] Time 0.767 (0.799) Data 0.001 (0.003) Loss 1.9303 (2.0142) Prec@1 49.375 (47.994) Prec@5 81.875 (78.405) Epoch: [52][3110/11272] Time 0.846 (0.799) Data 0.001 (0.003) Loss 2.0404 (2.0142) Prec@1 53.750 (47.996) Prec@5 77.500 (78.403) Epoch: [52][3120/11272] Time 0.888 (0.799) Data 0.001 (0.002) Loss 2.1308 (2.0139) Prec@1 44.375 (48.001) Prec@5 76.875 (78.410) Epoch: [52][3130/11272] Time 0.767 (0.799) Data 0.002 (0.002) Loss 1.9746 (2.0137) Prec@1 46.875 (48.003) Prec@5 78.750 (78.415) Epoch: [52][3140/11272] Time 0.766 (0.799) Data 0.002 (0.002) Loss 1.9824 (2.0137) Prec@1 45.625 (48.004) Prec@5 83.125 (78.420) Epoch: [52][3150/11272] Time 0.913 (0.799) Data 0.002 (0.002) Loss 2.0776 (2.0137) Prec@1 44.375 (48.002) Prec@5 75.000 (78.417) Epoch: [52][3160/11272] Time 0.887 (0.799) Data 0.002 (0.002) Loss 1.8310 (2.0138) Prec@1 53.125 (48.004) Prec@5 80.625 (78.416) Epoch: [52][3170/11272] Time 0.755 (0.799) Data 0.002 (0.002) Loss 2.0891 (2.0137) Prec@1 51.250 (48.005) Prec@5 75.625 (78.415) Epoch: [52][3180/11272] Time 0.735 (0.799) Data 0.002 (0.002) Loss 1.8297 (2.0139) Prec@1 51.875 (48.001) Prec@5 82.500 (78.411) Epoch: [52][3190/11272] Time 0.845 (0.799) Data 0.001 (0.002) Loss 2.1924 (2.0140) Prec@1 41.250 (47.998) Prec@5 74.375 (78.411) Epoch: [52][3200/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 2.1374 (2.0142) Prec@1 45.625 (47.994) Prec@5 78.750 (78.404) Epoch: [52][3210/11272] Time 0.749 (0.799) Data 0.001 (0.002) Loss 1.9453 (2.0139) Prec@1 44.375 (47.999) Prec@5 78.750 (78.407) Epoch: [52][3220/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.2342 (2.0139) Prec@1 39.375 (47.999) Prec@5 73.125 (78.409) Epoch: [52][3230/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 1.9768 (2.0139) Prec@1 48.750 (47.998) Prec@5 76.875 (78.409) Epoch: [52][3240/11272] Time 0.769 (0.800) Data 0.001 (0.002) Loss 2.0524 (2.0140) Prec@1 40.000 (47.996) Prec@5 79.375 (78.411) Epoch: [52][3250/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.9636 (2.0140) Prec@1 49.375 (47.994) Prec@5 78.750 (78.410) Epoch: [52][3260/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 2.2748 (2.0142) Prec@1 41.250 (47.986) Prec@5 75.000 (78.405) Epoch: [52][3270/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 1.7926 (2.0142) Prec@1 52.500 (47.991) Prec@5 81.875 (78.406) Epoch: [52][3280/11272] Time 0.795 (0.800) Data 0.002 (0.002) Loss 1.9362 (2.0141) Prec@1 49.375 (47.996) Prec@5 81.875 (78.406) Epoch: [52][3290/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 1.9711 (2.0141) Prec@1 43.750 (47.995) Prec@5 81.250 (78.406) Epoch: [52][3300/11272] Time 0.845 (0.800) Data 0.001 (0.002) Loss 1.8012 (2.0142) Prec@1 50.000 (47.994) Prec@5 82.500 (78.403) Epoch: [52][3310/11272] Time 0.840 (0.800) Data 0.001 (0.002) Loss 1.9857 (2.0143) Prec@1 53.125 (47.996) Prec@5 79.375 (78.402) Epoch: [52][3320/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.1977 (2.0141) Prec@1 40.625 (48.000) Prec@5 78.125 (78.405) Epoch: [52][3330/11272] Time 0.861 (0.800) Data 0.001 (0.002) Loss 1.8479 (2.0140) Prec@1 45.000 (48.007) Prec@5 81.250 (78.406) Epoch: [52][3340/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.2853 (2.0140) Prec@1 45.000 (48.009) Prec@5 70.000 (78.406) Epoch: [52][3350/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 2.1829 (2.0141) Prec@1 47.500 (48.008) Prec@5 75.000 (78.403) Epoch: [52][3360/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.9017 (2.0142) Prec@1 50.000 (48.006) Prec@5 79.375 (78.399) Epoch: [52][3370/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 1.9185 (2.0144) Prec@1 53.125 (48.008) Prec@5 76.250 (78.392) Epoch: [52][3380/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.9604 (2.0145) Prec@1 47.500 (48.008) Prec@5 80.625 (78.392) Epoch: [52][3390/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.3046 (2.0146) Prec@1 45.000 (48.013) Prec@5 75.000 (78.393) Epoch: [52][3400/11272] Time 0.762 (0.800) Data 0.001 (0.002) Loss 2.1886 (2.0146) Prec@1 38.750 (48.015) Prec@5 79.375 (78.394) Epoch: [52][3410/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 1.9208 (2.0147) Prec@1 47.500 (48.010) Prec@5 82.500 (78.395) Epoch: [52][3420/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.1105 (2.0147) Prec@1 46.875 (48.014) Prec@5 76.875 (78.396) Epoch: [52][3430/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 2.0901 (2.0149) Prec@1 46.250 (48.010) Prec@5 79.375 (78.392) Epoch: [52][3440/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 1.9338 (2.0150) Prec@1 46.875 (48.010) Prec@5 78.125 (78.388) Epoch: [52][3450/11272] Time 0.866 (0.800) Data 0.001 (0.002) Loss 1.9544 (2.0151) Prec@1 46.875 (48.008) Prec@5 81.250 (78.384) Epoch: [52][3460/11272] Time 0.743 (0.800) Data 0.003 (0.002) Loss 1.9792 (2.0149) Prec@1 48.125 (48.012) Prec@5 80.625 (78.388) Epoch: [52][3470/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 1.9809 (2.0151) Prec@1 49.375 (48.009) Prec@5 81.250 (78.385) Epoch: [52][3480/11272] Time 0.905 (0.800) Data 0.002 (0.002) Loss 2.0638 (2.0153) Prec@1 40.625 (48.000) Prec@5 79.375 (78.381) Epoch: [52][3490/11272] Time 0.847 (0.800) Data 0.002 (0.002) Loss 1.9323 (2.0153) Prec@1 48.125 (48.001) Prec@5 80.625 (78.382) Epoch: [52][3500/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.0961 (2.0154) Prec@1 45.000 (48.000) Prec@5 74.375 (78.381) Epoch: [52][3510/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.7652 (2.0153) Prec@1 51.250 (48.001) Prec@5 80.000 (78.385) Epoch: [52][3520/11272] Time 0.869 (0.800) Data 0.001 (0.002) Loss 1.9754 (2.0154) Prec@1 54.375 (48.001) Prec@5 77.500 (78.383) Epoch: [52][3530/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 2.1024 (2.0155) Prec@1 45.000 (48.000) Prec@5 76.875 (78.378) Epoch: [52][3540/11272] Time 0.734 (0.800) Data 0.001 (0.002) Loss 1.8841 (2.0156) Prec@1 51.875 (47.996) Prec@5 81.875 (78.374) Epoch: [52][3550/11272] Time 0.778 (0.800) Data 0.002 (0.002) Loss 2.0335 (2.0155) Prec@1 48.750 (47.998) Prec@5 79.375 (78.376) Epoch: [52][3560/11272] Time 0.909 (0.800) Data 0.002 (0.002) Loss 2.3061 (2.0156) Prec@1 37.500 (47.998) Prec@5 73.125 (78.373) Epoch: [52][3570/11272] Time 0.829 (0.801) Data 0.001 (0.002) Loss 1.8781 (2.0156) Prec@1 52.500 (48.000) Prec@5 80.625 (78.375) Epoch: [52][3580/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 2.0228 (2.0157) Prec@1 51.875 (47.999) Prec@5 75.000 (78.374) Epoch: [52][3590/11272] Time 0.912 (0.801) Data 0.002 (0.002) Loss 1.9852 (2.0158) Prec@1 46.250 (47.999) Prec@5 80.000 (78.370) Epoch: [52][3600/11272] Time 0.867 (0.801) Data 0.002 (0.002) Loss 2.0580 (2.0159) Prec@1 45.625 (47.998) Prec@5 79.375 (78.369) Epoch: [52][3610/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 2.1892 (2.0159) Prec@1 45.625 (47.998) Prec@5 76.250 (78.368) Epoch: [52][3620/11272] Time 0.753 (0.801) Data 0.002 (0.002) Loss 2.0972 (2.0159) Prec@1 48.750 (47.998) Prec@5 76.875 (78.368) Epoch: [52][3630/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 2.0107 (2.0160) Prec@1 47.500 (47.992) Prec@5 80.000 (78.365) Epoch: [52][3640/11272] Time 0.855 (0.801) Data 0.001 (0.002) Loss 1.8672 (2.0158) Prec@1 46.250 (47.995) Prec@5 83.750 (78.367) Epoch: [52][3650/11272] Time 0.802 (0.801) Data 0.002 (0.002) Loss 1.9966 (2.0158) Prec@1 52.500 (47.992) Prec@5 77.500 (78.368) Epoch: [52][3660/11272] Time 0.738 (0.801) Data 0.001 (0.002) Loss 2.1782 (2.0158) Prec@1 40.000 (47.992) Prec@5 75.000 (78.369) Epoch: [52][3670/11272] Time 0.860 (0.801) Data 0.002 (0.002) Loss 2.2979 (2.0157) Prec@1 46.250 (47.993) Prec@5 73.750 (78.371) Epoch: [52][3680/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 1.9680 (2.0157) Prec@1 51.875 (47.994) Prec@5 79.375 (78.373) Epoch: [52][3690/11272] Time 0.734 (0.801) Data 0.001 (0.002) Loss 2.2065 (2.0158) Prec@1 48.125 (47.992) Prec@5 73.125 (78.368) Epoch: [52][3700/11272] Time 0.765 (0.801) Data 0.002 (0.002) Loss 2.2349 (2.0159) Prec@1 46.875 (47.988) Prec@5 73.750 (78.366) Epoch: [52][3710/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 2.0417 (2.0159) Prec@1 46.875 (47.989) Prec@5 81.875 (78.370) Epoch: [52][3720/11272] Time 0.748 (0.801) Data 0.004 (0.002) Loss 1.9240 (2.0158) Prec@1 50.625 (47.986) Prec@5 76.250 (78.369) Epoch: [52][3730/11272] Time 0.720 (0.801) Data 0.002 (0.002) Loss 2.1640 (2.0158) Prec@1 46.250 (47.994) Prec@5 75.625 (78.371) Epoch: [52][3740/11272] Time 0.914 (0.801) Data 0.002 (0.002) Loss 2.0739 (2.0159) Prec@1 46.250 (47.991) Prec@5 78.750 (78.370) Epoch: [52][3750/11272] Time 0.869 (0.801) Data 0.002 (0.002) Loss 1.8227 (2.0159) Prec@1 55.625 (47.989) Prec@5 83.125 (78.373) Epoch: [52][3760/11272] Time 0.795 (0.801) Data 0.002 (0.002) Loss 2.1910 (2.0160) Prec@1 43.750 (47.983) Prec@5 73.125 (78.370) Epoch: [52][3770/11272] Time 0.720 (0.801) Data 0.002 (0.002) Loss 2.1477 (2.0161) Prec@1 41.250 (47.979) Prec@5 80.000 (78.371) Epoch: [52][3780/11272] Time 0.863 (0.801) Data 0.001 (0.002) Loss 2.1127 (2.0164) Prec@1 46.875 (47.976) Prec@5 73.750 (78.368) Epoch: [52][3790/11272] Time 0.853 (0.801) Data 0.002 (0.002) Loss 1.7805 (2.0163) Prec@1 51.875 (47.977) Prec@5 83.125 (78.370) Epoch: [52][3800/11272] Time 0.758 (0.801) Data 0.001 (0.002) Loss 1.7261 (2.0161) Prec@1 57.500 (47.981) Prec@5 84.375 (78.375) Epoch: [52][3810/11272] Time 0.768 (0.801) Data 0.002 (0.002) Loss 1.9616 (2.0159) Prec@1 54.375 (47.986) Prec@5 80.000 (78.378) Epoch: [52][3820/11272] Time 0.842 (0.801) Data 0.002 (0.002) Loss 1.8581 (2.0161) Prec@1 50.000 (47.981) Prec@5 85.000 (78.376) Epoch: [52][3830/11272] Time 0.861 (0.801) Data 0.002 (0.002) Loss 2.1665 (2.0160) Prec@1 45.000 (47.983) Prec@5 73.750 (78.378) Epoch: [52][3840/11272] Time 0.782 (0.801) Data 0.002 (0.002) Loss 1.8959 (2.0161) Prec@1 48.750 (47.980) Prec@5 84.375 (78.378) Epoch: [52][3850/11272] Time 0.873 (0.801) Data 0.002 (0.002) Loss 2.1693 (2.0162) Prec@1 45.000 (47.979) Prec@5 71.875 (78.376) Epoch: [52][3860/11272] Time 0.824 (0.801) Data 0.002 (0.002) Loss 1.8420 (2.0163) Prec@1 52.500 (47.973) Prec@5 82.500 (78.374) Epoch: [52][3870/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 1.9805 (2.0163) Prec@1 45.000 (47.973) Prec@5 76.875 (78.373) Epoch: [52][3880/11272] Time 0.745 (0.801) Data 0.002 (0.002) Loss 2.0301 (2.0164) Prec@1 46.875 (47.971) Prec@5 78.750 (78.374) Epoch: [52][3890/11272] Time 0.906 (0.801) Data 0.002 (0.002) Loss 2.1002 (2.0162) Prec@1 47.500 (47.978) Prec@5 76.250 (78.375) Epoch: [52][3900/11272] Time 0.881 (0.801) Data 0.001 (0.002) Loss 1.9894 (2.0161) Prec@1 50.625 (47.980) Prec@5 76.875 (78.378) Epoch: [52][3910/11272] Time 0.758 (0.801) Data 0.002 (0.002) Loss 2.0745 (2.0161) Prec@1 44.375 (47.980) Prec@5 75.625 (78.378) Epoch: [52][3920/11272] Time 0.817 (0.801) Data 0.002 (0.002) Loss 2.2426 (2.0161) Prec@1 41.250 (47.982) Prec@5 73.750 (78.379) Epoch: [52][3930/11272] Time 0.892 (0.801) Data 0.002 (0.002) Loss 1.9502 (2.0162) Prec@1 53.125 (47.979) Prec@5 78.750 (78.377) Epoch: [52][3940/11272] Time 0.839 (0.801) Data 0.001 (0.002) Loss 1.7360 (2.0161) Prec@1 55.000 (47.979) Prec@5 81.250 (78.376) Epoch: [52][3950/11272] Time 0.741 (0.801) Data 0.002 (0.002) Loss 2.1163 (2.0163) Prec@1 43.125 (47.977) Prec@5 74.375 (78.372) Epoch: [52][3960/11272] Time 0.766 (0.801) Data 0.002 (0.002) Loss 2.1599 (2.0161) Prec@1 48.125 (47.979) Prec@5 73.750 (78.376) Epoch: [52][3970/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 2.0906 (2.0162) Prec@1 51.250 (47.983) Prec@5 76.875 (78.374) Epoch: [52][3980/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 2.0787 (2.0161) Prec@1 47.500 (47.985) Prec@5 76.250 (78.376) Epoch: [52][3990/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 1.8677 (2.0159) Prec@1 50.625 (47.990) Prec@5 80.625 (78.377) Epoch: [52][4000/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.9300 (2.0160) Prec@1 50.625 (47.989) Prec@5 83.125 (78.378) Epoch: [52][4010/11272] Time 0.859 (0.801) Data 0.002 (0.002) Loss 1.8407 (2.0158) Prec@1 50.625 (47.993) Prec@5 79.375 (78.381) Epoch: [52][4020/11272] Time 0.735 (0.801) Data 0.001 (0.002) Loss 1.9496 (2.0158) Prec@1 46.250 (47.992) Prec@5 81.250 (78.382) Epoch: [52][4030/11272] Time 0.758 (0.801) Data 0.001 (0.002) Loss 2.2008 (2.0160) Prec@1 48.750 (47.990) Prec@5 75.625 (78.376) Epoch: [52][4040/11272] Time 0.901 (0.801) Data 0.002 (0.002) Loss 2.0731 (2.0159) Prec@1 44.375 (47.990) Prec@5 82.500 (78.381) Epoch: [52][4050/11272] Time 0.880 (0.801) Data 0.002 (0.002) Loss 2.2357 (2.0160) Prec@1 41.250 (47.987) Prec@5 74.375 (78.379) Epoch: [52][4060/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 1.7676 (2.0161) Prec@1 53.750 (47.985) Prec@5 83.750 (78.379) Epoch: [52][4070/11272] Time 0.781 (0.801) Data 0.002 (0.002) Loss 1.8301 (2.0162) Prec@1 50.000 (47.981) Prec@5 81.250 (78.378) Epoch: [52][4080/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 2.0336 (2.0163) Prec@1 49.375 (47.980) Prec@5 76.875 (78.378) Epoch: [52][4090/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 1.9084 (2.0163) Prec@1 55.000 (47.978) Prec@5 78.125 (78.380) Epoch: [52][4100/11272] Time 0.744 (0.802) Data 0.001 (0.002) Loss 2.0701 (2.0164) Prec@1 48.125 (47.977) Prec@5 76.875 (78.377) Epoch: [52][4110/11272] Time 0.795 (0.802) Data 0.002 (0.002) Loss 1.9824 (2.0164) Prec@1 48.750 (47.977) Prec@5 81.875 (78.378) Epoch: [52][4120/11272] Time 0.849 (0.802) Data 0.001 (0.002) Loss 1.9807 (2.0164) Prec@1 41.250 (47.974) Prec@5 78.750 (78.375) Epoch: [52][4130/11272] Time 0.732 (0.802) Data 0.001 (0.002) Loss 2.2421 (2.0165) Prec@1 40.625 (47.972) Prec@5 76.875 (78.374) Epoch: [52][4140/11272] Time 0.762 (0.802) Data 0.001 (0.002) Loss 1.9414 (2.0165) Prec@1 48.125 (47.971) Prec@5 80.000 (78.374) Epoch: [52][4150/11272] Time 0.872 (0.802) Data 0.001 (0.002) Loss 2.0615 (2.0165) Prec@1 42.500 (47.968) Prec@5 80.625 (78.377) Epoch: [52][4160/11272] Time 0.825 (0.802) Data 0.001 (0.002) Loss 2.1001 (2.0167) Prec@1 43.750 (47.961) Prec@5 77.500 (78.374) Epoch: [52][4170/11272] Time 0.800 (0.802) Data 0.002 (0.002) Loss 2.0203 (2.0169) Prec@1 49.375 (47.956) Prec@5 75.625 (78.370) Epoch: [52][4180/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.9361 (2.0170) Prec@1 51.250 (47.958) Prec@5 81.250 (78.366) Epoch: [52][4190/11272] Time 0.836 (0.802) Data 0.002 (0.002) Loss 1.6159 (2.0168) Prec@1 53.125 (47.964) Prec@5 81.875 (78.369) Epoch: [52][4200/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 1.9897 (2.0167) Prec@1 47.500 (47.961) Prec@5 79.375 (78.370) Epoch: [52][4210/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 2.1235 (2.0167) Prec@1 44.375 (47.960) Prec@5 76.875 (78.369) Epoch: [52][4220/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 2.1586 (2.0167) Prec@1 47.500 (47.959) Prec@5 76.875 (78.368) Epoch: [52][4230/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 1.8962 (2.0167) Prec@1 51.250 (47.960) Prec@5 78.750 (78.369) Epoch: [52][4240/11272] Time 0.887 (0.802) Data 0.002 (0.002) Loss 1.9516 (2.0166) Prec@1 47.500 (47.958) Prec@5 78.750 (78.371) Epoch: [52][4250/11272] Time 0.740 (0.802) Data 0.001 (0.002) Loss 1.8279 (2.0165) Prec@1 49.375 (47.957) Prec@5 81.875 (78.374) Epoch: [52][4260/11272] Time 0.834 (0.802) Data 0.002 (0.002) Loss 2.1213 (2.0166) Prec@1 45.625 (47.954) Prec@5 73.750 (78.372) Epoch: [52][4270/11272] Time 0.897 (0.802) Data 0.001 (0.002) Loss 1.9837 (2.0166) Prec@1 46.875 (47.949) Prec@5 78.125 (78.372) Epoch: [52][4280/11272] Time 0.749 (0.802) Data 0.001 (0.002) Loss 2.2099 (2.0167) Prec@1 45.625 (47.944) Prec@5 71.875 (78.372) Epoch: [52][4290/11272] Time 0.726 (0.802) Data 0.001 (0.002) Loss 1.9107 (2.0166) Prec@1 55.625 (47.946) Prec@5 78.750 (78.372) Epoch: [52][4300/11272] Time 0.863 (0.802) Data 0.001 (0.002) Loss 2.2050 (2.0166) Prec@1 43.750 (47.946) Prec@5 76.875 (78.373) Epoch: [52][4310/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.0123 (2.0166) Prec@1 47.500 (47.948) Prec@5 81.875 (78.375) Epoch: [52][4320/11272] Time 0.735 (0.802) Data 0.001 (0.002) Loss 1.9594 (2.0165) Prec@1 49.375 (47.950) Prec@5 80.625 (78.377) Epoch: [52][4330/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.9548 (2.0165) Prec@1 46.875 (47.946) Prec@5 80.625 (78.380) Epoch: [52][4340/11272] Time 0.826 (0.802) Data 0.002 (0.002) Loss 2.1522 (2.0166) Prec@1 45.625 (47.943) Prec@5 76.250 (78.377) Epoch: [52][4350/11272] Time 0.824 (0.802) Data 0.001 (0.002) Loss 2.0209 (2.0167) Prec@1 50.000 (47.943) Prec@5 77.500 (78.376) Epoch: [52][4360/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 2.1808 (2.0168) Prec@1 45.000 (47.938) Prec@5 73.750 (78.371) Epoch: [52][4370/11272] Time 0.727 (0.802) Data 0.001 (0.002) Loss 2.1250 (2.0169) Prec@1 39.375 (47.933) Prec@5 75.000 (78.367) Epoch: [52][4380/11272] Time 0.842 (0.802) Data 0.002 (0.002) Loss 2.1040 (2.0171) Prec@1 47.500 (47.930) Prec@5 76.250 (78.362) Epoch: [52][4390/11272] Time 0.758 (0.802) Data 0.004 (0.002) Loss 2.0874 (2.0171) Prec@1 45.000 (47.924) Prec@5 75.000 (78.363) Epoch: [52][4400/11272] Time 0.753 (0.802) Data 0.002 (0.002) Loss 2.0302 (2.0172) Prec@1 48.750 (47.921) Prec@5 78.750 (78.367) Epoch: [52][4410/11272] Time 0.900 (0.802) Data 0.002 (0.002) Loss 2.3948 (2.0175) Prec@1 40.625 (47.912) Prec@5 75.000 (78.363) Epoch: [52][4420/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 1.9934 (2.0175) Prec@1 48.125 (47.913) Prec@5 78.750 (78.363) Epoch: [52][4430/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 2.0409 (2.0176) Prec@1 47.500 (47.907) Prec@5 80.000 (78.361) Epoch: [52][4440/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.8077 (2.0175) Prec@1 55.625 (47.910) Prec@5 80.000 (78.366) Epoch: [52][4450/11272] Time 0.848 (0.802) Data 0.001 (0.002) Loss 1.8227 (2.0175) Prec@1 52.500 (47.903) Prec@5 80.000 (78.362) Epoch: [52][4460/11272] Time 0.894 (0.802) Data 0.002 (0.002) Loss 1.8717 (2.0175) Prec@1 53.750 (47.903) Prec@5 79.375 (78.362) Epoch: [52][4470/11272] Time 0.792 (0.802) Data 0.002 (0.002) Loss 1.9085 (2.0176) Prec@1 53.125 (47.896) Prec@5 79.375 (78.360) Epoch: [52][4480/11272] Time 0.770 (0.802) Data 0.001 (0.002) Loss 1.9446 (2.0176) Prec@1 47.500 (47.894) Prec@5 79.375 (78.361) Epoch: [52][4490/11272] Time 0.913 (0.802) Data 0.002 (0.002) Loss 1.8686 (2.0176) Prec@1 50.000 (47.894) Prec@5 81.250 (78.360) Epoch: [52][4500/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 2.0876 (2.0180) Prec@1 43.125 (47.883) Prec@5 74.375 (78.353) Epoch: [52][4510/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 2.1091 (2.0179) Prec@1 48.125 (47.887) Prec@5 75.625 (78.353) Epoch: [52][4520/11272] Time 0.847 (0.802) Data 0.002 (0.002) Loss 2.2374 (2.0180) Prec@1 48.125 (47.883) Prec@5 71.250 (78.353) Epoch: [52][4530/11272] Time 0.898 (0.802) Data 0.002 (0.002) Loss 2.0784 (2.0180) Prec@1 43.750 (47.881) Prec@5 75.000 (78.353) Epoch: [52][4540/11272] Time 0.715 (0.802) Data 0.001 (0.002) Loss 2.0497 (2.0182) Prec@1 48.750 (47.877) Prec@5 76.875 (78.350) Epoch: [52][4550/11272] Time 0.752 (0.802) Data 0.001 (0.002) Loss 2.1610 (2.0183) Prec@1 44.375 (47.879) Prec@5 75.000 (78.351) Epoch: [52][4560/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 2.1279 (2.0183) Prec@1 46.875 (47.879) Prec@5 77.500 (78.351) Epoch: [52][4570/11272] Time 0.868 (0.802) Data 0.001 (0.002) Loss 2.1351 (2.0184) Prec@1 40.625 (47.871) Prec@5 77.500 (78.347) Epoch: [52][4580/11272] Time 0.806 (0.802) Data 0.002 (0.002) Loss 2.3229 (2.0185) Prec@1 46.875 (47.869) Prec@5 68.750 (78.343) Epoch: [52][4590/11272] Time 0.769 (0.802) Data 0.001 (0.002) Loss 1.9144 (2.0184) Prec@1 50.625 (47.868) Prec@5 77.500 (78.344) Epoch: [52][4600/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 2.0144 (2.0186) Prec@1 48.125 (47.865) Prec@5 80.000 (78.343) Epoch: [52][4610/11272] Time 0.810 (0.802) Data 0.001 (0.002) Loss 2.1713 (2.0186) Prec@1 44.375 (47.863) Prec@5 73.125 (78.341) Epoch: [52][4620/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 2.1546 (2.0189) Prec@1 50.625 (47.860) Prec@5 77.500 (78.339) Epoch: [52][4630/11272] Time 0.790 (0.802) Data 0.002 (0.002) Loss 1.8581 (2.0189) Prec@1 49.375 (47.855) Prec@5 78.125 (78.339) Epoch: [52][4640/11272] Time 0.901 (0.802) Data 0.002 (0.002) Loss 2.1040 (2.0190) Prec@1 45.000 (47.853) Prec@5 80.000 (78.339) Epoch: [52][4650/11272] Time 0.713 (0.802) Data 0.003 (0.002) Loss 1.9718 (2.0191) Prec@1 50.625 (47.854) Prec@5 81.250 (78.340) Epoch: [52][4660/11272] Time 0.752 (0.802) Data 0.002 (0.002) Loss 2.1299 (2.0193) Prec@1 42.500 (47.849) Prec@5 76.875 (78.337) Epoch: [52][4670/11272] Time 0.839 (0.802) Data 0.002 (0.002) Loss 1.9387 (2.0192) Prec@1 50.000 (47.849) Prec@5 76.875 (78.340) Epoch: [52][4680/11272] Time 0.850 (0.802) Data 0.001 (0.002) Loss 2.1910 (2.0194) Prec@1 40.000 (47.844) Prec@5 76.250 (78.334) Epoch: [52][4690/11272] Time 0.795 (0.802) Data 0.002 (0.002) Loss 1.7753 (2.0194) Prec@1 51.875 (47.845) Prec@5 86.875 (78.336) Epoch: [52][4700/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 1.8808 (2.0194) Prec@1 48.125 (47.845) Prec@5 80.625 (78.336) Epoch: [52][4710/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 2.0398 (2.0196) Prec@1 41.250 (47.841) Prec@5 78.750 (78.336) Epoch: [52][4720/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 1.9913 (2.0196) Prec@1 48.750 (47.839) Prec@5 79.375 (78.335) Epoch: [52][4730/11272] Time 0.771 (0.802) Data 0.002 (0.002) Loss 2.0026 (2.0197) Prec@1 49.375 (47.838) Prec@5 78.750 (78.333) Epoch: [52][4740/11272] Time 0.760 (0.802) Data 0.001 (0.002) Loss 2.1342 (2.0196) Prec@1 41.875 (47.839) Prec@5 78.750 (78.334) Epoch: [52][4750/11272] Time 0.864 (0.802) Data 0.001 (0.002) Loss 1.8841 (2.0195) Prec@1 50.625 (47.842) Prec@5 76.875 (78.337) Epoch: [52][4760/11272] Time 0.817 (0.802) Data 0.001 (0.002) Loss 1.9061 (2.0196) Prec@1 50.000 (47.841) Prec@5 75.000 (78.334) Epoch: [52][4770/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 2.0226 (2.0196) Prec@1 46.250 (47.837) Prec@5 78.750 (78.335) Epoch: [52][4780/11272] Time 0.847 (0.802) Data 0.001 (0.002) Loss 2.0697 (2.0196) Prec@1 44.375 (47.833) Prec@5 78.750 (78.332) Epoch: [52][4790/11272] Time 0.835 (0.802) Data 0.002 (0.002) Loss 2.0206 (2.0196) Prec@1 46.875 (47.834) Prec@5 83.125 (78.334) Epoch: [52][4800/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.2266 (2.0196) Prec@1 45.000 (47.833) Prec@5 76.250 (78.334) Epoch: [52][4810/11272] Time 0.764 (0.802) Data 0.001 (0.002) Loss 2.2311 (2.0196) Prec@1 43.125 (47.832) Prec@5 77.500 (78.336) Epoch: [52][4820/11272] Time 0.827 (0.802) Data 0.001 (0.002) Loss 2.0638 (2.0197) Prec@1 46.875 (47.830) Prec@5 76.250 (78.335) Epoch: [52][4830/11272] Time 0.821 (0.802) Data 0.002 (0.002) Loss 2.0370 (2.0195) Prec@1 45.000 (47.833) Prec@5 78.125 (78.337) Epoch: [52][4840/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 2.0818 (2.0195) Prec@1 44.375 (47.832) Prec@5 79.375 (78.339) Epoch: [52][4850/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 2.0122 (2.0195) Prec@1 50.625 (47.832) Prec@5 80.625 (78.341) Epoch: [52][4860/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 2.2023 (2.0196) Prec@1 45.625 (47.829) Prec@5 75.625 (78.338) Epoch: [52][4870/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 1.9269 (2.0197) Prec@1 53.750 (47.829) Prec@5 79.375 (78.337) Epoch: [52][4880/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 2.0369 (2.0197) Prec@1 50.000 (47.829) Prec@5 78.125 (78.337) Epoch: [52][4890/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 2.1015 (2.0198) Prec@1 46.250 (47.828) Prec@5 78.125 (78.336) Epoch: [52][4900/11272] Time 0.846 (0.802) Data 0.001 (0.002) Loss 2.2043 (2.0199) Prec@1 42.500 (47.825) Prec@5 76.250 (78.334) Epoch: [52][4910/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 1.9783 (2.0199) Prec@1 48.125 (47.824) Prec@5 79.375 (78.333) Epoch: [52][4920/11272] Time 0.760 (0.802) Data 0.002 (0.002) Loss 1.8801 (2.0198) Prec@1 50.625 (47.826) Prec@5 83.125 (78.333) Epoch: [52][4930/11272] Time 0.912 (0.802) Data 0.002 (0.002) Loss 2.1553 (2.0198) Prec@1 43.125 (47.827) Prec@5 75.000 (78.332) Epoch: [52][4940/11272] Time 0.846 (0.802) Data 0.001 (0.002) Loss 2.1215 (2.0197) Prec@1 45.000 (47.829) Prec@5 73.750 (78.334) Epoch: [52][4950/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.9273 (2.0199) Prec@1 52.500 (47.827) Prec@5 77.500 (78.333) Epoch: [52][4960/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 2.0447 (2.0198) Prec@1 48.750 (47.828) Prec@5 76.875 (78.331) Epoch: [52][4970/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 1.9539 (2.0198) Prec@1 48.750 (47.827) Prec@5 80.625 (78.333) Epoch: [52][4980/11272] Time 0.821 (0.802) Data 0.002 (0.002) Loss 2.0762 (2.0200) Prec@1 50.000 (47.823) Prec@5 78.125 (78.328) Epoch: [52][4990/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 1.7951 (2.0199) Prec@1 55.000 (47.825) Prec@5 85.000 (78.330) Epoch: [52][5000/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 2.1621 (2.0200) Prec@1 42.500 (47.824) Prec@5 78.125 (78.330) Epoch: [52][5010/11272] Time 0.848 (0.803) Data 0.001 (0.002) Loss 1.8997 (2.0200) Prec@1 56.250 (47.824) Prec@5 84.375 (78.332) Epoch: [52][5020/11272] Time 0.886 (0.803) Data 0.002 (0.002) Loss 1.9145 (2.0201) Prec@1 54.375 (47.826) Prec@5 75.625 (78.328) Epoch: [52][5030/11272] Time 0.732 (0.803) Data 0.002 (0.002) Loss 2.0762 (2.0201) Prec@1 46.250 (47.825) Prec@5 76.875 (78.327) Epoch: [52][5040/11272] Time 0.750 (0.803) Data 0.002 (0.002) Loss 2.0553 (2.0203) Prec@1 50.000 (47.816) Prec@5 76.875 (78.321) Epoch: [52][5050/11272] Time 0.838 (0.803) Data 0.001 (0.002) Loss 1.9427 (2.0204) Prec@1 45.625 (47.814) Prec@5 81.250 (78.321) Epoch: [52][5060/11272] Time 0.745 (0.803) Data 0.001 (0.002) Loss 1.6131 (2.0205) Prec@1 58.125 (47.816) Prec@5 85.625 (78.319) Epoch: [52][5070/11272] Time 0.733 (0.803) Data 0.001 (0.002) Loss 1.9250 (2.0204) Prec@1 50.625 (47.817) Prec@5 78.750 (78.321) Epoch: [52][5080/11272] Time 0.897 (0.803) Data 0.001 (0.002) Loss 2.0166 (2.0206) Prec@1 48.750 (47.816) Prec@5 74.375 (78.316) Epoch: [52][5090/11272] Time 0.928 (0.803) Data 0.002 (0.002) Loss 2.1524 (2.0206) Prec@1 40.625 (47.817) Prec@5 76.250 (78.317) Epoch: [52][5100/11272] Time 0.718 (0.803) Data 0.001 (0.002) Loss 2.0253 (2.0205) Prec@1 44.375 (47.820) Prec@5 75.625 (78.317) Epoch: [52][5110/11272] Time 0.748 (0.803) Data 0.002 (0.002) Loss 2.0406 (2.0206) Prec@1 45.625 (47.816) Prec@5 77.500 (78.317) Epoch: [52][5120/11272] Time 0.903 (0.803) Data 0.001 (0.002) Loss 1.9593 (2.0207) Prec@1 50.000 (47.814) Prec@5 79.375 (78.313) Epoch: [52][5130/11272] Time 0.869 (0.803) Data 0.001 (0.002) Loss 2.0411 (2.0207) Prec@1 50.000 (47.814) Prec@5 78.750 (78.314) Epoch: [52][5140/11272] Time 0.730 (0.803) Data 0.002 (0.002) Loss 2.0814 (2.0207) Prec@1 47.500 (47.813) Prec@5 73.125 (78.312) Epoch: [52][5150/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 2.0807 (2.0207) Prec@1 46.875 (47.811) Prec@5 77.500 (78.311) Epoch: [52][5160/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 2.1703 (2.0209) Prec@1 46.875 (47.807) Prec@5 75.000 (78.308) Epoch: [52][5170/11272] Time 0.832 (0.803) Data 0.001 (0.002) Loss 1.9737 (2.0210) Prec@1 46.250 (47.804) Prec@5 82.500 (78.308) Epoch: [52][5180/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 2.2668 (2.0211) Prec@1 38.750 (47.800) Prec@5 74.375 (78.305) Epoch: [52][5190/11272] Time 0.859 (0.803) Data 0.001 (0.002) Loss 1.8305 (2.0211) Prec@1 55.000 (47.801) Prec@5 82.500 (78.305) Epoch: [52][5200/11272] Time 0.867 (0.803) Data 0.002 (0.002) Loss 2.0192 (2.0211) Prec@1 47.500 (47.801) Prec@5 78.125 (78.304) Epoch: [52][5210/11272] Time 0.738 (0.803) Data 0.002 (0.002) Loss 2.0239 (2.0212) Prec@1 43.750 (47.798) Prec@5 79.375 (78.300) Epoch: [52][5220/11272] Time 0.807 (0.803) Data 0.002 (0.002) Loss 2.0234 (2.0211) Prec@1 43.125 (47.801) Prec@5 74.375 (78.300) Epoch: [52][5230/11272] Time 0.845 (0.803) Data 0.001 (0.002) Loss 1.9160 (2.0212) Prec@1 47.500 (47.796) Prec@5 79.375 (78.298) Epoch: [52][5240/11272] Time 0.872 (0.803) Data 0.001 (0.002) Loss 2.3090 (2.0213) Prec@1 41.875 (47.791) Prec@5 75.000 (78.300) Epoch: [52][5250/11272] Time 0.763 (0.803) Data 0.002 (0.002) Loss 2.0113 (2.0213) Prec@1 48.125 (47.790) Prec@5 78.125 (78.300) Epoch: [52][5260/11272] Time 0.743 (0.803) Data 0.002 (0.002) Loss 2.1078 (2.0214) Prec@1 44.375 (47.789) Prec@5 74.375 (78.298) Epoch: [52][5270/11272] Time 0.888 (0.803) Data 0.001 (0.002) Loss 2.0842 (2.0215) Prec@1 42.500 (47.786) Prec@5 80.625 (78.298) Epoch: [52][5280/11272] Time 0.827 (0.803) Data 0.001 (0.002) Loss 1.9644 (2.0215) Prec@1 49.375 (47.787) Prec@5 79.375 (78.298) Epoch: [52][5290/11272] Time 0.753 (0.803) Data 0.002 (0.002) Loss 2.1158 (2.0215) Prec@1 43.750 (47.786) Prec@5 78.125 (78.298) Epoch: [52][5300/11272] Time 0.739 (0.803) Data 0.001 (0.002) Loss 1.8749 (2.0215) Prec@1 51.250 (47.785) Prec@5 82.500 (78.300) Epoch: [52][5310/11272] Time 0.875 (0.803) Data 0.002 (0.002) Loss 2.1571 (2.0217) Prec@1 42.500 (47.780) Prec@5 78.750 (78.297) Epoch: [52][5320/11272] Time 0.752 (0.803) Data 0.004 (0.002) Loss 1.9536 (2.0216) Prec@1 43.750 (47.779) Prec@5 75.000 (78.299) Epoch: [52][5330/11272] Time 0.743 (0.803) Data 0.001 (0.002) Loss 1.8344 (2.0216) Prec@1 51.250 (47.778) Prec@5 83.125 (78.299) Epoch: [52][5340/11272] Time 0.872 (0.803) Data 0.001 (0.002) Loss 1.9249 (2.0217) Prec@1 58.125 (47.779) Prec@5 75.625 (78.296) Epoch: [52][5350/11272] Time 0.808 (0.803) Data 0.002 (0.002) Loss 2.0600 (2.0218) Prec@1 45.625 (47.778) Prec@5 75.000 (78.294) Epoch: [52][5360/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 2.2141 (2.0218) Prec@1 48.750 (47.778) Prec@5 71.875 (78.293) Epoch: [52][5370/11272] Time 0.757 (0.803) Data 0.002 (0.002) Loss 2.1547 (2.0220) Prec@1 50.625 (47.774) Prec@5 80.625 (78.289) Epoch: [52][5380/11272] Time 0.894 (0.803) Data 0.002 (0.002) Loss 1.8841 (2.0220) Prec@1 49.375 (47.772) Prec@5 83.750 (78.292) Epoch: [52][5390/11272] Time 0.836 (0.803) Data 0.001 (0.002) Loss 2.1663 (2.0221) Prec@1 43.125 (47.770) Prec@5 79.375 (78.292) Epoch: [52][5400/11272] Time 0.727 (0.803) Data 0.001 (0.002) Loss 2.0937 (2.0221) Prec@1 48.125 (47.769) Prec@5 75.625 (78.294) Epoch: [52][5410/11272] Time 0.809 (0.803) Data 0.002 (0.002) Loss 1.9667 (2.0222) Prec@1 42.500 (47.763) Prec@5 81.250 (78.292) Epoch: [52][5420/11272] Time 0.866 (0.803) Data 0.001 (0.002) Loss 2.1482 (2.0222) Prec@1 41.250 (47.762) Prec@5 75.625 (78.291) Epoch: [52][5430/11272] Time 0.902 (0.803) Data 0.002 (0.002) Loss 2.0119 (2.0223) Prec@1 51.250 (47.759) Prec@5 78.125 (78.292) Epoch: [52][5440/11272] Time 0.756 (0.803) Data 0.002 (0.002) Loss 1.8720 (2.0222) Prec@1 53.750 (47.761) Prec@5 80.625 (78.292) Epoch: [52][5450/11272] Time 0.845 (0.803) Data 0.002 (0.002) Loss 1.9445 (2.0221) Prec@1 48.750 (47.764) Prec@5 79.375 (78.295) Epoch: [52][5460/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 2.2637 (2.0221) Prec@1 46.250 (47.765) Prec@5 73.125 (78.293) Epoch: [52][5470/11272] Time 0.748 (0.803) Data 0.002 (0.002) Loss 1.9084 (2.0221) Prec@1 52.500 (47.768) Prec@5 80.625 (78.295) Epoch: [52][5480/11272] Time 0.747 (0.803) Data 0.002 (0.002) Loss 1.8166 (2.0220) Prec@1 51.875 (47.769) Prec@5 80.625 (78.298) Epoch: [52][5490/11272] Time 0.872 (0.803) Data 0.001 (0.002) Loss 1.7725 (2.0221) Prec@1 53.125 (47.768) Prec@5 83.125 (78.297) Epoch: [52][5500/11272] Time 0.873 (0.803) Data 0.002 (0.002) Loss 2.1266 (2.0222) Prec@1 45.625 (47.765) Prec@5 76.875 (78.295) Epoch: [52][5510/11272] Time 0.756 (0.803) Data 0.001 (0.002) Loss 2.1194 (2.0222) Prec@1 47.500 (47.765) Prec@5 72.500 (78.293) Epoch: [52][5520/11272] Time 0.720 (0.803) Data 0.001 (0.002) Loss 2.0962 (2.0222) Prec@1 46.875 (47.765) Prec@5 74.375 (78.294) Epoch: [52][5530/11272] Time 0.857 (0.803) Data 0.001 (0.002) Loss 1.9075 (2.0222) Prec@1 46.875 (47.764) Prec@5 82.500 (78.293) Epoch: [52][5540/11272] Time 0.884 (0.803) Data 0.002 (0.002) Loss 1.8677 (2.0222) Prec@1 51.875 (47.764) Prec@5 81.250 (78.293) Epoch: [52][5550/11272] Time 0.754 (0.803) Data 0.001 (0.002) Loss 1.8448 (2.0222) Prec@1 51.875 (47.767) Prec@5 84.375 (78.296) Epoch: [52][5560/11272] Time 0.763 (0.803) Data 0.002 (0.002) Loss 2.1307 (2.0221) Prec@1 44.375 (47.766) Prec@5 77.500 (78.298) Epoch: [52][5570/11272] Time 0.850 (0.803) Data 0.002 (0.002) Loss 2.2429 (2.0223) Prec@1 41.875 (47.763) Prec@5 76.875 (78.296) Epoch: [52][5580/11272] Time 0.752 (0.803) Data 0.003 (0.002) Loss 2.0463 (2.0223) Prec@1 47.500 (47.761) Prec@5 76.875 (78.296) Epoch: [52][5590/11272] Time 0.757 (0.803) Data 0.002 (0.002) Loss 2.0522 (2.0224) Prec@1 46.875 (47.760) Prec@5 77.500 (78.296) Epoch: [52][5600/11272] Time 0.935 (0.803) Data 0.002 (0.002) Loss 2.3172 (2.0225) Prec@1 41.250 (47.757) Prec@5 73.125 (78.294) Epoch: [52][5610/11272] Time 0.874 (0.803) Data 0.002 (0.002) Loss 1.9544 (2.0226) Prec@1 53.750 (47.757) Prec@5 80.625 (78.293) Epoch: [52][5620/11272] Time 0.775 (0.803) Data 0.002 (0.002) Loss 2.0137 (2.0227) Prec@1 52.500 (47.758) Prec@5 78.125 (78.291) Epoch: [52][5630/11272] Time 0.769 (0.803) Data 0.002 (0.002) Loss 1.9683 (2.0227) Prec@1 50.625 (47.759) Prec@5 80.000 (78.292) Epoch: [52][5640/11272] Time 0.885 (0.803) Data 0.001 (0.002) Loss 1.8689 (2.0227) Prec@1 48.750 (47.760) Prec@5 80.625 (78.292) Epoch: [52][5650/11272] Time 0.851 (0.803) Data 0.002 (0.002) Loss 2.1323 (2.0228) Prec@1 45.000 (47.760) Prec@5 72.500 (78.289) Epoch: [52][5660/11272] Time 0.771 (0.803) Data 0.002 (0.002) Loss 2.2822 (2.0230) Prec@1 41.250 (47.752) Prec@5 73.750 (78.288) Epoch: [52][5670/11272] Time 0.770 (0.803) Data 0.002 (0.002) Loss 2.1363 (2.0230) Prec@1 48.125 (47.752) Prec@5 71.875 (78.287) Epoch: [52][5680/11272] Time 0.855 (0.803) Data 0.001 (0.002) Loss 1.9692 (2.0230) Prec@1 48.125 (47.753) Prec@5 78.125 (78.288) Epoch: [52][5690/11272] Time 0.881 (0.803) Data 0.002 (0.002) Loss 1.8338 (2.0229) Prec@1 51.250 (47.750) Prec@5 80.000 (78.288) Epoch: [52][5700/11272] Time 0.732 (0.803) Data 0.001 (0.002) Loss 2.0739 (2.0229) Prec@1 45.625 (47.749) Prec@5 75.625 (78.289) Epoch: [52][5710/11272] Time 0.907 (0.803) Data 0.001 (0.002) Loss 1.9985 (2.0228) Prec@1 48.750 (47.752) Prec@5 76.875 (78.290) Epoch: [52][5720/11272] Time 0.866 (0.803) Data 0.001 (0.002) Loss 1.9917 (2.0229) Prec@1 45.625 (47.752) Prec@5 81.875 (78.290) Epoch: [52][5730/11272] Time 0.740 (0.803) Data 0.001 (0.002) Loss 2.0702 (2.0228) Prec@1 47.500 (47.751) Prec@5 75.625 (78.290) Epoch: [52][5740/11272] Time 0.727 (0.803) Data 0.001 (0.002) Loss 2.0307 (2.0229) Prec@1 45.625 (47.748) Prec@5 75.625 (78.288) Epoch: [52][5750/11272] Time 0.854 (0.803) Data 0.001 (0.002) Loss 1.7926 (2.0230) Prec@1 52.500 (47.746) Prec@5 85.625 (78.287) Epoch: [52][5760/11272] Time 0.849 (0.803) Data 0.002 (0.002) Loss 2.3098 (2.0230) Prec@1 40.625 (47.743) Prec@5 70.625 (78.288) Epoch: [52][5770/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 1.9251 (2.0230) Prec@1 46.875 (47.745) Prec@5 80.625 (78.290) Epoch: [52][5780/11272] Time 0.769 (0.803) Data 0.002 (0.002) Loss 2.1597 (2.0231) Prec@1 43.125 (47.743) Prec@5 74.375 (78.286) Epoch: [52][5790/11272] Time 0.862 (0.803) Data 0.002 (0.002) Loss 2.1838 (2.0231) Prec@1 42.500 (47.741) Prec@5 76.250 (78.285) Epoch: [52][5800/11272] Time 0.879 (0.803) Data 0.002 (0.002) Loss 1.9554 (2.0230) Prec@1 46.875 (47.743) Prec@5 80.000 (78.288) Epoch: [52][5810/11272] Time 0.735 (0.803) Data 0.002 (0.002) Loss 1.9483 (2.0229) Prec@1 48.125 (47.745) Prec@5 78.125 (78.288) Epoch: [52][5820/11272] Time 0.748 (0.803) Data 0.002 (0.002) Loss 1.9524 (2.0228) Prec@1 50.625 (47.748) Prec@5 79.375 (78.289) Epoch: [52][5830/11272] Time 0.871 (0.803) Data 0.001 (0.002) Loss 1.9578 (2.0228) Prec@1 46.250 (47.748) Prec@5 76.875 (78.289) Epoch: [52][5840/11272] Time 0.837 (0.803) Data 0.001 (0.002) Loss 2.1704 (2.0229) Prec@1 41.875 (47.749) Prec@5 74.375 (78.286) Epoch: [52][5850/11272] Time 0.755 (0.803) Data 0.001 (0.002) Loss 2.0239 (2.0229) Prec@1 45.000 (47.748) Prec@5 82.500 (78.286) Epoch: [52][5860/11272] Time 0.874 (0.803) Data 0.002 (0.002) Loss 2.1360 (2.0230) Prec@1 42.500 (47.745) Prec@5 78.750 (78.284) Epoch: [52][5870/11272] Time 0.833 (0.803) Data 0.001 (0.002) Loss 1.7875 (2.0230) Prec@1 51.875 (47.746) Prec@5 83.125 (78.285) Epoch: [52][5880/11272] Time 0.761 (0.803) Data 0.002 (0.002) Loss 1.7264 (2.0230) Prec@1 53.750 (47.744) Prec@5 81.875 (78.285) Epoch: [52][5890/11272] Time 0.759 (0.803) Data 0.002 (0.002) Loss 2.2768 (2.0231) Prec@1 43.750 (47.743) Prec@5 79.375 (78.285) Epoch: [52][5900/11272] Time 0.863 (0.803) Data 0.002 (0.002) Loss 2.0575 (2.0230) Prec@1 48.125 (47.746) Prec@5 78.125 (78.288) Epoch: [52][5910/11272] Time 0.873 (0.803) Data 0.002 (0.002) Loss 2.1836 (2.0230) Prec@1 48.750 (47.746) Prec@5 76.875 (78.288) Epoch: [52][5920/11272] Time 0.752 (0.803) Data 0.001 (0.002) Loss 2.0120 (2.0231) Prec@1 44.375 (47.743) Prec@5 83.125 (78.288) Epoch: [52][5930/11272] Time 0.748 (0.803) Data 0.001 (0.002) Loss 1.8884 (2.0231) Prec@1 52.500 (47.743) Prec@5 76.875 (78.289) Epoch: [52][5940/11272] Time 0.865 (0.803) Data 0.002 (0.002) Loss 1.7749 (2.0231) Prec@1 54.375 (47.744) Prec@5 81.250 (78.288) Epoch: [52][5950/11272] Time 0.953 (0.803) Data 0.002 (0.002) Loss 1.8586 (2.0231) Prec@1 46.250 (47.744) Prec@5 83.750 (78.288) Epoch: [52][5960/11272] Time 0.750 (0.803) Data 0.002 (0.002) Loss 2.0903 (2.0232) Prec@1 51.250 (47.742) Prec@5 76.250 (78.287) Epoch: [52][5970/11272] Time 0.736 (0.803) Data 0.001 (0.002) Loss 2.2055 (2.0233) Prec@1 43.125 (47.741) Prec@5 75.000 (78.285) Epoch: [52][5980/11272] Time 0.942 (0.803) Data 0.002 (0.002) Loss 2.3556 (2.0234) Prec@1 44.375 (47.741) Prec@5 72.500 (78.282) Epoch: [52][5990/11272] Time 0.747 (0.804) Data 0.001 (0.002) Loss 1.9731 (2.0232) Prec@1 51.250 (47.744) Prec@5 76.250 (78.286) Epoch: [52][6000/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.1955 (2.0234) Prec@1 49.375 (47.743) Prec@5 75.625 (78.282) Epoch: [52][6010/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.0179 (2.0233) Prec@1 47.500 (47.744) Prec@5 77.500 (78.281) Epoch: [52][6020/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 1.9694 (2.0234) Prec@1 47.500 (47.742) Prec@5 79.375 (78.282) Epoch: [52][6030/11272] Time 0.746 (0.804) Data 0.001 (0.002) Loss 1.8343 (2.0233) Prec@1 49.375 (47.742) Prec@5 81.250 (78.281) Epoch: [52][6040/11272] Time 0.798 (0.804) Data 0.002 (0.002) Loss 2.0394 (2.0234) Prec@1 48.750 (47.740) Prec@5 75.625 (78.280) Epoch: [52][6050/11272] Time 0.922 (0.804) Data 0.002 (0.002) Loss 1.9546 (2.0233) Prec@1 46.875 (47.739) Prec@5 76.875 (78.283) Epoch: [52][6060/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 1.9203 (2.0234) Prec@1 53.125 (47.739) Prec@5 78.750 (78.281) Epoch: [52][6070/11272] Time 0.729 (0.804) Data 0.002 (0.002) Loss 2.0237 (2.0233) Prec@1 54.375 (47.741) Prec@5 75.625 (78.282) Epoch: [52][6080/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 1.9402 (2.0234) Prec@1 51.875 (47.739) Prec@5 81.250 (78.282) Epoch: [52][6090/11272] Time 0.841 (0.804) Data 0.002 (0.002) Loss 2.0892 (2.0234) Prec@1 48.125 (47.739) Prec@5 76.875 (78.281) Epoch: [52][6100/11272] Time 0.830 (0.804) Data 0.001 (0.002) Loss 2.2200 (2.0235) Prec@1 46.250 (47.737) Prec@5 76.875 (78.278) Epoch: [52][6110/11272] Time 0.764 (0.804) Data 0.003 (0.002) Loss 2.1622 (2.0235) Prec@1 44.375 (47.735) Prec@5 78.750 (78.279) Epoch: [52][6120/11272] Time 0.845 (0.804) Data 0.001 (0.002) Loss 2.0945 (2.0236) Prec@1 47.500 (47.734) Prec@5 75.000 (78.279) Epoch: [52][6130/11272] Time 0.819 (0.804) Data 0.001 (0.002) Loss 2.0007 (2.0235) Prec@1 50.000 (47.735) Prec@5 80.000 (78.279) Epoch: [52][6140/11272] Time 0.775 (0.804) Data 0.002 (0.002) Loss 2.3693 (2.0237) Prec@1 43.750 (47.733) Prec@5 73.125 (78.278) Epoch: [52][6150/11272] Time 0.792 (0.804) Data 0.001 (0.002) Loss 2.2459 (2.0236) Prec@1 48.125 (47.735) Prec@5 75.625 (78.279) Epoch: [52][6160/11272] Time 0.869 (0.804) Data 0.001 (0.002) Loss 2.1778 (2.0237) Prec@1 41.250 (47.733) Prec@5 76.250 (78.278) Epoch: [52][6170/11272] Time 0.829 (0.804) Data 0.001 (0.002) Loss 1.8141 (2.0236) Prec@1 55.000 (47.733) Prec@5 81.250 (78.280) Epoch: [52][6180/11272] Time 0.743 (0.804) Data 0.002 (0.002) Loss 1.9594 (2.0236) Prec@1 52.500 (47.737) Prec@5 76.875 (78.279) Epoch: [52][6190/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 2.2778 (2.0237) Prec@1 41.250 (47.735) Prec@5 73.750 (78.275) Epoch: [52][6200/11272] Time 0.921 (0.804) Data 0.002 (0.002) Loss 2.0082 (2.0237) Prec@1 54.375 (47.733) Prec@5 75.000 (78.273) Epoch: [52][6210/11272] Time 0.894 (0.804) Data 0.001 (0.002) Loss 1.9159 (2.0236) Prec@1 50.000 (47.737) Prec@5 83.750 (78.276) Epoch: [52][6220/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.2304 (2.0237) Prec@1 40.000 (47.737) Prec@5 71.250 (78.272) Epoch: [52][6230/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 1.7510 (2.0236) Prec@1 58.750 (47.739) Prec@5 83.750 (78.274) Epoch: [52][6240/11272] Time 0.851 (0.804) Data 0.002 (0.002) Loss 1.9590 (2.0237) Prec@1 50.625 (47.739) Prec@5 81.250 (78.273) Epoch: [52][6250/11272] Time 0.731 (0.804) Data 0.004 (0.002) Loss 1.8750 (2.0238) Prec@1 49.375 (47.737) Prec@5 77.500 (78.273) Epoch: [52][6260/11272] Time 0.748 (0.804) Data 0.002 (0.002) Loss 2.0379 (2.0239) Prec@1 46.875 (47.733) Prec@5 80.625 (78.270) Epoch: [52][6270/11272] Time 0.876 (0.804) Data 0.002 (0.002) Loss 1.9033 (2.0239) Prec@1 50.625 (47.731) Prec@5 80.000 (78.272) Epoch: [52][6280/11272] Time 0.880 (0.804) Data 0.001 (0.002) Loss 1.8910 (2.0238) Prec@1 46.875 (47.730) Prec@5 80.000 (78.272) Epoch: [52][6290/11272] Time 0.791 (0.804) Data 0.002 (0.002) Loss 1.7904 (2.0238) Prec@1 58.125 (47.734) Prec@5 81.250 (78.271) Epoch: [52][6300/11272] Time 0.741 (0.804) Data 0.001 (0.002) Loss 2.0068 (2.0237) Prec@1 45.000 (47.733) Prec@5 79.375 (78.271) Epoch: [52][6310/11272] Time 0.866 (0.804) Data 0.001 (0.002) Loss 2.2082 (2.0238) Prec@1 44.375 (47.733) Prec@5 75.625 (78.271) Epoch: [52][6320/11272] Time 0.911 (0.804) Data 0.002 (0.002) Loss 2.0572 (2.0238) Prec@1 44.375 (47.731) Prec@5 77.500 (78.271) Epoch: [52][6330/11272] Time 0.763 (0.804) Data 0.002 (0.002) Loss 2.0806 (2.0239) Prec@1 47.500 (47.730) Prec@5 78.125 (78.271) Epoch: [52][6340/11272] Time 0.730 (0.804) Data 0.002 (0.002) Loss 2.1464 (2.0241) Prec@1 48.125 (47.724) Prec@5 77.500 (78.267) Epoch: [52][6350/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 1.9745 (2.0241) Prec@1 48.125 (47.726) Prec@5 76.875 (78.265) Epoch: [52][6360/11272] Time 0.834 (0.804) Data 0.002 (0.002) Loss 2.1004 (2.0242) Prec@1 46.875 (47.727) Prec@5 77.500 (78.265) Epoch: [52][6370/11272] Time 0.727 (0.804) Data 0.001 (0.002) Loss 1.8893 (2.0241) Prec@1 50.000 (47.729) Prec@5 77.500 (78.265) Epoch: [52][6380/11272] Time 0.862 (0.804) Data 0.002 (0.002) Loss 1.9754 (2.0241) Prec@1 51.875 (47.729) Prec@5 79.375 (78.265) Epoch: [52][6390/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 1.8467 (2.0240) Prec@1 52.500 (47.733) Prec@5 80.625 (78.265) Epoch: [52][6400/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 2.0420 (2.0240) Prec@1 51.250 (47.735) Prec@5 76.250 (78.265) Epoch: [52][6410/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 1.7312 (2.0239) Prec@1 53.125 (47.736) Prec@5 85.625 (78.267) Epoch: [52][6420/11272] Time 0.860 (0.804) Data 0.001 (0.002) Loss 1.9660 (2.0239) Prec@1 45.000 (47.738) Prec@5 76.250 (78.267) Epoch: [52][6430/11272] Time 0.879 (0.804) Data 0.002 (0.002) Loss 1.7327 (2.0238) Prec@1 54.375 (47.739) Prec@5 85.000 (78.268) Epoch: [52][6440/11272] Time 0.764 (0.804) Data 0.002 (0.002) Loss 2.0642 (2.0238) Prec@1 45.000 (47.739) Prec@5 77.500 (78.267) Epoch: [52][6450/11272] Time 0.731 (0.804) Data 0.001 (0.002) Loss 1.8398 (2.0237) Prec@1 48.750 (47.739) Prec@5 85.625 (78.270) Epoch: [52][6460/11272] Time 0.837 (0.804) Data 0.002 (0.002) Loss 1.9818 (2.0238) Prec@1 48.750 (47.739) Prec@5 80.000 (78.269) Epoch: [52][6470/11272] Time 0.884 (0.804) Data 0.002 (0.002) Loss 1.9261 (2.0239) Prec@1 43.750 (47.735) Prec@5 79.375 (78.267) Epoch: [52][6480/11272] Time 0.756 (0.804) Data 0.002 (0.002) Loss 1.8565 (2.0239) Prec@1 55.000 (47.735) Prec@5 76.250 (78.267) Epoch: [52][6490/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 1.9758 (2.0240) Prec@1 49.375 (47.735) Prec@5 75.625 (78.267) Epoch: [52][6500/11272] Time 0.873 (0.804) Data 0.002 (0.002) Loss 2.2547 (2.0241) Prec@1 44.375 (47.730) Prec@5 73.750 (78.264) Epoch: [52][6510/11272] Time 0.744 (0.804) Data 0.004 (0.002) Loss 2.3828 (2.0242) Prec@1 35.000 (47.729) Prec@5 71.875 (78.259) Epoch: [52][6520/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 1.9312 (2.0242) Prec@1 49.375 (47.731) Prec@5 78.750 (78.258) Epoch: [52][6530/11272] Time 0.878 (0.804) Data 0.002 (0.002) Loss 2.0200 (2.0242) Prec@1 48.125 (47.731) Prec@5 76.250 (78.261) Epoch: [52][6540/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 1.9236 (2.0241) Prec@1 47.500 (47.731) Prec@5 80.000 (78.260) Epoch: [52][6550/11272] Time 0.746 (0.804) Data 0.002 (0.002) Loss 2.3018 (2.0243) Prec@1 41.875 (47.726) Prec@5 71.250 (78.256) Epoch: [52][6560/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 2.0706 (2.0243) Prec@1 48.125 (47.726) Prec@5 75.625 (78.254) Epoch: [52][6570/11272] Time 0.860 (0.804) Data 0.002 (0.002) Loss 2.0457 (2.0242) Prec@1 51.875 (47.729) Prec@5 76.875 (78.256) Epoch: [52][6580/11272] Time 0.826 (0.804) Data 0.001 (0.002) Loss 2.2380 (2.0243) Prec@1 46.250 (47.726) Prec@5 76.875 (78.255) Epoch: [52][6590/11272] Time 0.769 (0.804) Data 0.002 (0.002) Loss 1.9322 (2.0243) Prec@1 51.250 (47.725) Prec@5 80.000 (78.255) Epoch: [52][6600/11272] Time 0.779 (0.804) Data 0.002 (0.002) Loss 2.1088 (2.0243) Prec@1 44.375 (47.724) Prec@5 75.625 (78.254) Epoch: [52][6610/11272] Time 0.914 (0.804) Data 0.001 (0.002) Loss 2.2944 (2.0243) Prec@1 38.750 (47.725) Prec@5 74.375 (78.254) Epoch: [52][6620/11272] Time 0.890 (0.804) Data 0.002 (0.002) Loss 2.2048 (2.0245) Prec@1 46.875 (47.721) Prec@5 73.125 (78.251) Epoch: [52][6630/11272] Time 0.787 (0.804) Data 0.002 (0.002) Loss 2.3090 (2.0246) Prec@1 41.250 (47.718) Prec@5 81.250 (78.248) Epoch: [52][6640/11272] Time 0.883 (0.804) Data 0.002 (0.002) Loss 1.9657 (2.0247) Prec@1 46.250 (47.716) Prec@5 78.125 (78.247) Epoch: [52][6650/11272] Time 0.874 (0.804) Data 0.002 (0.002) Loss 2.0768 (2.0247) Prec@1 45.625 (47.714) Prec@5 76.875 (78.248) Epoch: [52][6660/11272] Time 0.725 (0.804) Data 0.002 (0.002) Loss 1.9919 (2.0247) Prec@1 48.750 (47.715) Prec@5 77.500 (78.249) Epoch: [52][6670/11272] Time 0.756 (0.804) Data 0.002 (0.002) Loss 2.1300 (2.0246) Prec@1 46.250 (47.715) Prec@5 78.125 (78.251) Epoch: [52][6680/11272] Time 0.832 (0.804) Data 0.001 (0.002) Loss 2.0553 (2.0246) Prec@1 46.250 (47.715) Prec@5 76.875 (78.250) Epoch: [52][6690/11272] Time 0.864 (0.804) Data 0.002 (0.002) Loss 1.8474 (2.0246) Prec@1 46.875 (47.713) Prec@5 81.875 (78.249) Epoch: [52][6700/11272] Time 0.756 (0.804) Data 0.002 (0.002) Loss 1.9209 (2.0247) Prec@1 49.375 (47.709) Prec@5 80.625 (78.248) Epoch: [52][6710/11272] Time 0.778 (0.804) Data 0.002 (0.002) Loss 1.8382 (2.0248) Prec@1 51.250 (47.708) Prec@5 81.250 (78.246) Epoch: [52][6720/11272] Time 0.896 (0.804) Data 0.001 (0.002) Loss 1.9116 (2.0248) Prec@1 50.000 (47.705) Prec@5 78.750 (78.246) Epoch: [52][6730/11272] Time 0.869 (0.804) Data 0.002 (0.002) Loss 2.0413 (2.0248) Prec@1 54.375 (47.708) Prec@5 76.875 (78.246) Epoch: [52][6740/11272] Time 0.784 (0.804) Data 0.002 (0.002) Loss 1.9653 (2.0248) Prec@1 51.250 (47.707) Prec@5 78.750 (78.243) Epoch: [52][6750/11272] Time 0.755 (0.804) Data 0.003 (0.002) Loss 2.3840 (2.0249) Prec@1 39.375 (47.705) Prec@5 71.875 (78.242) Epoch: [52][6760/11272] Time 0.885 (0.804) Data 0.002 (0.002) Loss 2.2673 (2.0249) Prec@1 44.375 (47.707) Prec@5 74.375 (78.241) Epoch: [52][6770/11272] Time 0.842 (0.804) Data 0.001 (0.002) Loss 1.9557 (2.0249) Prec@1 50.625 (47.706) Prec@5 75.625 (78.242) Epoch: [52][6780/11272] Time 0.745 (0.804) Data 0.002 (0.002) Loss 2.0689 (2.0250) Prec@1 45.625 (47.705) Prec@5 81.250 (78.243) Epoch: [52][6790/11272] Time 0.916 (0.804) Data 0.001 (0.002) Loss 2.1763 (2.0251) Prec@1 40.625 (47.703) Prec@5 78.750 (78.240) Epoch: [52][6800/11272] Time 0.861 (0.804) Data 0.001 (0.002) Loss 2.0448 (2.0252) Prec@1 51.250 (47.702) Prec@5 75.000 (78.237) Epoch: [52][6810/11272] Time 0.730 (0.804) Data 0.001 (0.002) Loss 1.9824 (2.0251) Prec@1 50.000 (47.704) Prec@5 79.375 (78.238) Epoch: [52][6820/11272] Time 0.751 (0.804) Data 0.002 (0.002) Loss 2.1747 (2.0251) Prec@1 40.625 (47.701) Prec@5 73.125 (78.238) Epoch: [52][6830/11272] Time 0.890 (0.804) Data 0.002 (0.002) Loss 1.8557 (2.0251) Prec@1 55.000 (47.701) Prec@5 77.500 (78.238) Epoch: [52][6840/11272] Time 0.803 (0.804) Data 0.001 (0.002) Loss 1.9197 (2.0252) Prec@1 49.375 (47.700) Prec@5 79.375 (78.236) Epoch: [52][6850/11272] Time 0.756 (0.804) Data 0.002 (0.002) Loss 2.1642 (2.0252) Prec@1 48.750 (47.701) Prec@5 76.250 (78.234) Epoch: [52][6860/11272] Time 0.740 (0.804) Data 0.001 (0.002) Loss 2.1529 (2.0253) Prec@1 46.250 (47.701) Prec@5 74.375 (78.231) Epoch: [52][6870/11272] Time 0.853 (0.804) Data 0.002 (0.002) Loss 2.0016 (2.0252) Prec@1 47.500 (47.704) Prec@5 80.000 (78.233) Epoch: [52][6880/11272] Time 0.845 (0.804) Data 0.001 (0.002) Loss 1.8299 (2.0251) Prec@1 51.875 (47.706) Prec@5 82.500 (78.234) Epoch: [52][6890/11272] Time 0.744 (0.804) Data 0.001 (0.002) Loss 2.0858 (2.0251) Prec@1 45.000 (47.706) Prec@5 74.375 (78.235) Epoch: [52][6900/11272] Time 0.758 (0.804) Data 0.002 (0.002) Loss 1.8941 (2.0251) Prec@1 50.625 (47.705) Prec@5 80.000 (78.235) Epoch: [52][6910/11272] Time 0.887 (0.804) Data 0.001 (0.002) Loss 2.0481 (2.0251) Prec@1 46.875 (47.705) Prec@5 80.000 (78.236) Epoch: [52][6920/11272] Time 0.730 (0.804) Data 0.002 (0.002) Loss 1.9024 (2.0252) Prec@1 50.000 (47.704) Prec@5 81.250 (78.236) Epoch: [52][6930/11272] Time 0.763 (0.804) Data 0.002 (0.002) Loss 1.9842 (2.0251) Prec@1 48.125 (47.706) Prec@5 79.375 (78.237) Epoch: [52][6940/11272] Time 0.869 (0.804) Data 0.001 (0.002) Loss 1.8527 (2.0252) Prec@1 51.875 (47.704) Prec@5 81.875 (78.235) Epoch: [52][6950/11272] Time 0.848 (0.804) Data 0.001 (0.002) Loss 1.9951 (2.0254) Prec@1 42.500 (47.700) Prec@5 78.750 (78.233) Epoch: [52][6960/11272] Time 0.732 (0.804) Data 0.002 (0.002) Loss 2.1495 (2.0253) Prec@1 46.875 (47.701) Prec@5 74.375 (78.233) Epoch: [52][6970/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 2.0025 (2.0253) Prec@1 46.875 (47.700) Prec@5 78.750 (78.233) Epoch: [52][6980/11272] Time 0.885 (0.804) Data 0.001 (0.002) Loss 2.1055 (2.0253) Prec@1 41.250 (47.699) Prec@5 75.000 (78.234) Epoch: [52][6990/11272] Time 0.863 (0.804) Data 0.002 (0.002) Loss 1.8913 (2.0253) Prec@1 53.750 (47.698) Prec@5 79.375 (78.235) Epoch: [52][7000/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 1.8739 (2.0253) Prec@1 49.375 (47.700) Prec@5 80.000 (78.234) Epoch: [52][7010/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 2.0995 (2.0254) Prec@1 46.250 (47.697) Prec@5 76.250 (78.231) Epoch: [52][7020/11272] Time 0.815 (0.804) Data 0.001 (0.002) Loss 2.0529 (2.0254) Prec@1 44.375 (47.700) Prec@5 76.250 (78.230) Epoch: [52][7030/11272] Time 0.859 (0.804) Data 0.002 (0.002) Loss 2.1028 (2.0255) Prec@1 45.000 (47.698) Prec@5 79.375 (78.229) Epoch: [52][7040/11272] Time 0.749 (0.804) Data 0.001 (0.002) Loss 2.1442 (2.0255) Prec@1 51.250 (47.699) Prec@5 73.750 (78.229) Epoch: [52][7050/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 1.8882 (2.0254) Prec@1 54.375 (47.702) Prec@5 80.000 (78.230) Epoch: [52][7060/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 1.8959 (2.0254) Prec@1 48.125 (47.701) Prec@5 79.375 (78.229) Epoch: [52][7070/11272] Time 0.751 (0.804) Data 0.001 (0.002) Loss 1.9708 (2.0254) Prec@1 46.875 (47.698) Prec@5 81.250 (78.228) Epoch: [52][7080/11272] Time 0.766 (0.804) Data 0.002 (0.002) Loss 2.4294 (2.0255) Prec@1 36.250 (47.697) Prec@5 71.875 (78.227) Epoch: [52][7090/11272] Time 0.850 (0.804) Data 0.001 (0.002) Loss 2.3047 (2.0255) Prec@1 41.875 (47.697) Prec@5 71.250 (78.226) Epoch: [52][7100/11272] Time 0.853 (0.804) Data 0.001 (0.002) Loss 2.0024 (2.0254) Prec@1 45.625 (47.697) Prec@5 79.375 (78.227) Epoch: [52][7110/11272] Time 0.753 (0.804) Data 0.002 (0.002) Loss 2.0925 (2.0255) Prec@1 45.000 (47.696) Prec@5 80.000 (78.228) Epoch: [52][7120/11272] Time 0.722 (0.804) Data 0.002 (0.002) Loss 2.0870 (2.0254) Prec@1 44.375 (47.697) Prec@5 71.250 (78.227) Epoch: [52][7130/11272] Time 0.871 (0.804) Data 0.001 (0.002) Loss 2.0205 (2.0254) Prec@1 46.875 (47.697) Prec@5 79.375 (78.228) Epoch: [52][7140/11272] Time 0.868 (0.804) Data 0.001 (0.002) Loss 2.2590 (2.0255) Prec@1 43.750 (47.697) Prec@5 75.000 (78.226) Epoch: [52][7150/11272] Time 0.752 (0.804) Data 0.002 (0.002) Loss 1.9874 (2.0255) Prec@1 49.375 (47.696) Prec@5 78.750 (78.224) Epoch: [52][7160/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 1.9538 (2.0256) Prec@1 51.250 (47.697) Prec@5 79.375 (78.224) Epoch: [52][7170/11272] Time 0.877 (0.804) Data 0.002 (0.002) Loss 1.9964 (2.0255) Prec@1 49.375 (47.697) Prec@5 76.875 (78.223) Epoch: [52][7180/11272] Time 0.736 (0.804) Data 0.004 (0.002) Loss 1.8296 (2.0256) Prec@1 53.125 (47.695) Prec@5 81.875 (78.224) Epoch: [52][7190/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 1.8454 (2.0256) Prec@1 50.625 (47.696) Prec@5 83.750 (78.225) Epoch: [52][7200/11272] Time 0.943 (0.804) Data 0.002 (0.002) Loss 1.9378 (2.0254) Prec@1 55.625 (47.699) Prec@5 79.375 (78.227) Epoch: [52][7210/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 1.9501 (2.0255) Prec@1 50.625 (47.696) Prec@5 80.625 (78.225) Epoch: [52][7220/11272] Time 0.762 (0.804) Data 0.002 (0.002) Loss 2.1747 (2.0255) Prec@1 44.375 (47.694) Prec@5 73.125 (78.222) Epoch: [52][7230/11272] Time 0.713 (0.804) Data 0.001 (0.002) Loss 1.8142 (2.0256) Prec@1 53.125 (47.693) Prec@5 82.500 (78.221) Epoch: [52][7240/11272] Time 0.831 (0.804) Data 0.001 (0.002) Loss 2.0484 (2.0256) Prec@1 47.500 (47.693) Prec@5 76.250 (78.221) Epoch: [52][7250/11272] Time 0.861 (0.804) Data 0.002 (0.002) Loss 1.7896 (2.0256) Prec@1 51.875 (47.691) Prec@5 81.250 (78.221) Epoch: [52][7260/11272] Time 0.752 (0.804) Data 0.001 (0.002) Loss 1.8855 (2.0257) Prec@1 50.625 (47.690) Prec@5 76.875 (78.220) Epoch: [52][7270/11272] Time 0.797 (0.804) Data 0.002 (0.002) Loss 1.9311 (2.0256) Prec@1 50.000 (47.690) Prec@5 80.625 (78.220) Epoch: [52][7280/11272] Time 0.842 (0.804) Data 0.002 (0.002) Loss 1.9207 (2.0256) Prec@1 53.125 (47.690) Prec@5 82.500 (78.221) Epoch: [52][7290/11272] Time 0.908 (0.804) Data 0.002 (0.002) Loss 1.8789 (2.0257) Prec@1 57.500 (47.690) Prec@5 81.250 (78.219) Epoch: [52][7300/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 1.9909 (2.0258) Prec@1 45.625 (47.688) Prec@5 81.250 (78.218) Epoch: [52][7310/11272] Time 0.849 (0.804) Data 0.002 (0.002) Loss 2.1560 (2.0257) Prec@1 43.750 (47.689) Prec@5 75.625 (78.219) Epoch: [52][7320/11272] Time 0.881 (0.804) Data 0.002 (0.002) Loss 2.2883 (2.0257) Prec@1 42.500 (47.690) Prec@5 76.250 (78.220) Epoch: [52][7330/11272] Time 0.752 (0.804) Data 0.002 (0.002) Loss 1.9523 (2.0257) Prec@1 49.375 (47.691) Prec@5 80.625 (78.220) Epoch: [52][7340/11272] Time 0.769 (0.804) Data 0.002 (0.002) Loss 1.9523 (2.0258) Prec@1 46.875 (47.690) Prec@5 78.125 (78.220) Epoch: [52][7350/11272] Time 0.866 (0.804) Data 0.002 (0.002) Loss 1.9945 (2.0257) Prec@1 48.750 (47.692) Prec@5 76.875 (78.221) Epoch: [52][7360/11272] Time 0.847 (0.804) Data 0.001 (0.002) Loss 1.9606 (2.0257) Prec@1 46.875 (47.692) Prec@5 81.875 (78.223) Epoch: [52][7370/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 2.0113 (2.0257) Prec@1 48.750 (47.690) Prec@5 76.250 (78.221) Epoch: [52][7380/11272] Time 0.751 (0.804) Data 0.001 (0.002) Loss 2.2198 (2.0257) Prec@1 46.250 (47.689) Prec@5 73.125 (78.220) Epoch: [52][7390/11272] Time 0.888 (0.804) Data 0.001 (0.002) Loss 1.9375 (2.0257) Prec@1 43.750 (47.688) Prec@5 83.125 (78.221) Epoch: [52][7400/11272] Time 0.902 (0.804) Data 0.002 (0.002) Loss 1.9498 (2.0257) Prec@1 50.625 (47.688) Prec@5 81.250 (78.221) Epoch: [52][7410/11272] Time 0.767 (0.804) Data 0.002 (0.002) Loss 1.8024 (2.0257) Prec@1 47.500 (47.689) Prec@5 81.875 (78.222) Epoch: [52][7420/11272] Time 0.785 (0.804) Data 0.002 (0.002) Loss 2.2663 (2.0258) Prec@1 43.750 (47.688) Prec@5 70.625 (78.221) Epoch: [52][7430/11272] Time 0.856 (0.804) Data 0.002 (0.002) Loss 2.1140 (2.0258) Prec@1 47.500 (47.687) Prec@5 76.875 (78.220) Epoch: [52][7440/11272] Time 0.748 (0.804) Data 0.003 (0.002) Loss 1.9133 (2.0259) Prec@1 48.125 (47.686) Prec@5 80.000 (78.220) Epoch: [52][7450/11272] Time 0.735 (0.804) Data 0.002 (0.002) Loss 1.9582 (2.0259) Prec@1 48.750 (47.686) Prec@5 80.000 (78.219) Epoch: [52][7460/11272] Time 0.908 (0.804) Data 0.001 (0.002) Loss 2.2905 (2.0260) Prec@1 47.500 (47.685) Prec@5 70.625 (78.219) Epoch: [52][7470/11272] Time 0.868 (0.804) Data 0.002 (0.002) Loss 2.0074 (2.0260) Prec@1 45.625 (47.686) Prec@5 80.000 (78.219) Epoch: [52][7480/11272] Time 0.713 (0.804) Data 0.001 (0.002) Loss 1.9572 (2.0259) Prec@1 50.625 (47.687) Prec@5 81.875 (78.218) Epoch: [52][7490/11272] Time 0.742 (0.804) Data 0.001 (0.002) Loss 2.1566 (2.0261) Prec@1 47.500 (47.685) Prec@5 75.625 (78.218) Epoch: [52][7500/11272] Time 0.895 (0.804) Data 0.002 (0.002) Loss 2.1407 (2.0260) Prec@1 42.500 (47.686) Prec@5 78.750 (78.220) Epoch: [52][7510/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 1.9628 (2.0259) Prec@1 46.875 (47.688) Prec@5 78.750 (78.221) Epoch: [52][7520/11272] Time 0.719 (0.804) Data 0.001 (0.002) Loss 1.9715 (2.0259) Prec@1 50.000 (47.689) Prec@5 81.250 (78.221) Epoch: [52][7530/11272] Time 0.810 (0.804) Data 0.002 (0.002) Loss 1.9639 (2.0259) Prec@1 48.125 (47.691) Prec@5 77.500 (78.222) Epoch: [52][7540/11272] Time 0.841 (0.804) Data 0.001 (0.002) Loss 1.8143 (2.0258) Prec@1 50.000 (47.693) Prec@5 83.125 (78.224) Epoch: [52][7550/11272] Time 0.858 (0.804) Data 0.002 (0.002) Loss 1.8472 (2.0258) Prec@1 47.500 (47.691) Prec@5 82.500 (78.225) Epoch: [52][7560/11272] Time 0.718 (0.804) Data 0.001 (0.002) Loss 2.0898 (2.0259) Prec@1 42.500 (47.689) Prec@5 80.625 (78.225) Epoch: [52][7570/11272] Time 0.867 (0.804) Data 0.001 (0.002) Loss 1.7354 (2.0259) Prec@1 56.250 (47.690) Prec@5 80.000 (78.225) Epoch: [52][7580/11272] Time 0.895 (0.804) Data 0.002 (0.002) Loss 1.9573 (2.0259) Prec@1 50.625 (47.688) Prec@5 80.625 (78.226) Epoch: [52][7590/11272] Time 0.745 (0.804) Data 0.001 (0.002) Loss 1.8641 (2.0259) Prec@1 53.125 (47.690) Prec@5 81.875 (78.228) Epoch: [52][7600/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.0592 (2.0259) Prec@1 49.375 (47.689) Prec@5 78.750 (78.229) Epoch: [52][7610/11272] Time 0.918 (0.804) Data 0.002 (0.002) Loss 1.9654 (2.0259) Prec@1 49.375 (47.686) Prec@5 75.625 (78.227) Epoch: [52][7620/11272] Time 0.829 (0.804) Data 0.002 (0.002) Loss 1.8906 (2.0259) Prec@1 50.000 (47.687) Prec@5 80.000 (78.229) Epoch: [52][7630/11272] Time 0.755 (0.804) Data 0.002 (0.002) Loss 2.1035 (2.0258) Prec@1 43.125 (47.685) Prec@5 75.000 (78.232) Epoch: [52][7640/11272] Time 0.750 (0.804) Data 0.002 (0.002) Loss 1.9522 (2.0257) Prec@1 54.375 (47.687) Prec@5 81.875 (78.234) Epoch: [52][7650/11272] Time 0.898 (0.804) Data 0.002 (0.002) Loss 1.8625 (2.0258) Prec@1 52.500 (47.686) Prec@5 80.000 (78.233) Epoch: [52][7660/11272] Time 0.915 (0.804) Data 0.002 (0.002) Loss 2.0992 (2.0258) Prec@1 48.750 (47.687) Prec@5 75.625 (78.232) Epoch: [52][7670/11272] Time 0.745 (0.804) Data 0.002 (0.002) Loss 2.0771 (2.0258) Prec@1 46.250 (47.686) Prec@5 81.250 (78.232) Epoch: [52][7680/11272] Time 0.728 (0.804) Data 0.001 (0.002) Loss 1.9022 (2.0258) Prec@1 49.375 (47.685) Prec@5 81.250 (78.232) Epoch: [52][7690/11272] Time 0.852 (0.804) Data 0.002 (0.002) Loss 2.3006 (2.0259) Prec@1 44.375 (47.684) Prec@5 73.750 (78.232) Epoch: [52][7700/11272] Time 0.796 (0.804) Data 0.001 (0.002) Loss 1.9102 (2.0259) Prec@1 50.000 (47.684) Prec@5 78.125 (78.230) Epoch: [52][7710/11272] Time 0.779 (0.804) Data 0.002 (0.002) Loss 1.8727 (2.0259) Prec@1 54.375 (47.684) Prec@5 79.375 (78.232) Epoch: [52][7720/11272] Time 0.909 (0.804) Data 0.001 (0.002) Loss 2.2006 (2.0261) Prec@1 46.250 (47.682) Prec@5 73.750 (78.230) Epoch: [52][7730/11272] Time 0.845 (0.804) Data 0.001 (0.002) Loss 1.6696 (2.0261) Prec@1 53.750 (47.683) Prec@5 83.125 (78.229) Epoch: [52][7740/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 2.1514 (2.0261) Prec@1 46.875 (47.684) Prec@5 75.625 (78.228) Epoch: [52][7750/11272] Time 0.764 (0.804) Data 0.002 (0.002) Loss 2.0009 (2.0262) Prec@1 46.875 (47.682) Prec@5 76.875 (78.226) Epoch: [52][7760/11272] Time 0.897 (0.805) Data 0.002 (0.002) Loss 2.1752 (2.0262) Prec@1 43.125 (47.681) Prec@5 76.875 (78.226) Epoch: [52][7770/11272] Time 0.849 (0.805) Data 0.001 (0.002) Loss 1.8712 (2.0262) Prec@1 47.500 (47.681) Prec@5 82.500 (78.226) Epoch: [52][7780/11272] Time 0.750 (0.804) Data 0.001 (0.002) Loss 2.1789 (2.0262) Prec@1 48.750 (47.682) Prec@5 76.250 (78.226) Epoch: [52][7790/11272] Time 0.781 (0.805) Data 0.002 (0.002) Loss 2.1429 (2.0261) Prec@1 49.375 (47.685) Prec@5 76.875 (78.229) Epoch: [52][7800/11272] Time 0.914 (0.805) Data 0.002 (0.002) Loss 2.1633 (2.0262) Prec@1 37.500 (47.683) Prec@5 74.375 (78.227) Epoch: [52][7810/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.2591 (2.0262) Prec@1 40.000 (47.683) Prec@5 74.375 (78.227) Epoch: [52][7820/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 1.9456 (2.0262) Prec@1 51.250 (47.685) Prec@5 81.250 (78.228) Epoch: [52][7830/11272] Time 0.748 (0.805) Data 0.002 (0.002) Loss 2.2865 (2.0263) Prec@1 43.125 (47.684) Prec@5 72.500 (78.227) Epoch: [52][7840/11272] Time 0.837 (0.805) Data 0.001 (0.002) Loss 2.1354 (2.0263) Prec@1 46.250 (47.683) Prec@5 75.625 (78.227) Epoch: [52][7850/11272] Time 0.790 (0.805) Data 0.001 (0.002) Loss 1.7742 (2.0262) Prec@1 50.625 (47.682) Prec@5 81.250 (78.227) Epoch: [52][7860/11272] Time 0.768 (0.805) Data 0.002 (0.002) Loss 2.0282 (2.0262) Prec@1 45.625 (47.685) Prec@5 79.375 (78.229) Epoch: [52][7870/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.2421 (2.0261) Prec@1 46.250 (47.687) Prec@5 79.375 (78.231) Epoch: [52][7880/11272] Time 0.877 (0.805) Data 0.002 (0.002) Loss 2.1249 (2.0261) Prec@1 45.000 (47.688) Prec@5 77.500 (78.231) Epoch: [52][7890/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 2.0104 (2.0260) Prec@1 48.750 (47.690) Prec@5 81.875 (78.232) Epoch: [52][7900/11272] Time 0.735 (0.805) Data 0.004 (0.002) Loss 2.1094 (2.0259) Prec@1 41.250 (47.693) Prec@5 78.750 (78.234) Epoch: [52][7910/11272] Time 0.859 (0.805) Data 0.002 (0.002) Loss 2.0524 (2.0259) Prec@1 51.250 (47.693) Prec@5 77.500 (78.233) Epoch: [52][7920/11272] Time 0.896 (0.805) Data 0.002 (0.002) Loss 1.9977 (2.0259) Prec@1 51.875 (47.694) Prec@5 74.375 (78.232) Epoch: [52][7930/11272] Time 0.725 (0.805) Data 0.001 (0.002) Loss 1.9336 (2.0259) Prec@1 48.125 (47.694) Prec@5 80.625 (78.233) Epoch: [52][7940/11272] Time 0.726 (0.805) Data 0.002 (0.002) Loss 2.1551 (2.0259) Prec@1 46.875 (47.693) Prec@5 73.125 (78.232) Epoch: [52][7950/11272] Time 0.905 (0.805) Data 0.001 (0.002) Loss 2.1210 (2.0260) Prec@1 48.125 (47.693) Prec@5 73.750 (78.232) Epoch: [52][7960/11272] Time 0.842 (0.805) Data 0.001 (0.002) Loss 2.0813 (2.0259) Prec@1 49.375 (47.694) Prec@5 76.250 (78.232) Epoch: [52][7970/11272] Time 0.724 (0.805) Data 0.002 (0.002) Loss 2.2107 (2.0260) Prec@1 47.500 (47.693) Prec@5 76.250 (78.230) Epoch: [52][7980/11272] Time 0.846 (0.805) Data 0.002 (0.002) Loss 2.1124 (2.0260) Prec@1 48.125 (47.694) Prec@5 73.125 (78.229) Epoch: [52][7990/11272] Time 0.889 (0.805) Data 0.002 (0.002) Loss 2.0135 (2.0262) Prec@1 46.875 (47.691) Prec@5 82.500 (78.227) Epoch: [52][8000/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 2.0839 (2.0262) Prec@1 46.250 (47.692) Prec@5 76.250 (78.228) Epoch: [52][8010/11272] Time 0.779 (0.805) Data 0.002 (0.002) Loss 2.0284 (2.0262) Prec@1 51.250 (47.693) Prec@5 78.750 (78.229) Epoch: [52][8020/11272] Time 0.859 (0.805) Data 0.001 (0.002) Loss 1.8937 (2.0262) Prec@1 52.500 (47.693) Prec@5 80.000 (78.229) Epoch: [52][8030/11272] Time 0.904 (0.805) Data 0.001 (0.002) Loss 2.1767 (2.0262) Prec@1 46.875 (47.695) Prec@5 71.875 (78.227) Epoch: [52][8040/11272] Time 0.803 (0.805) Data 0.002 (0.002) Loss 2.0930 (2.0262) Prec@1 47.500 (47.695) Prec@5 75.625 (78.227) Epoch: [52][8050/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 1.8047 (2.0262) Prec@1 55.000 (47.695) Prec@5 80.625 (78.227) Epoch: [52][8060/11272] Time 0.918 (0.805) Data 0.002 (0.002) Loss 1.7487 (2.0261) Prec@1 53.125 (47.695) Prec@5 82.500 (78.230) Epoch: [52][8070/11272] Time 0.857 (0.805) Data 0.002 (0.002) Loss 2.1079 (2.0262) Prec@1 46.875 (47.693) Prec@5 78.750 (78.228) Epoch: [52][8080/11272] Time 0.761 (0.805) Data 0.001 (0.002) Loss 1.7996 (2.0261) Prec@1 54.375 (47.695) Prec@5 80.625 (78.230) Epoch: [52][8090/11272] Time 0.768 (0.805) Data 0.002 (0.002) Loss 1.8050 (2.0262) Prec@1 53.125 (47.692) Prec@5 80.000 (78.229) Epoch: [52][8100/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 1.9817 (2.0262) Prec@1 48.750 (47.693) Prec@5 76.875 (78.229) Epoch: [52][8110/11272] Time 0.731 (0.805) Data 0.003 (0.002) Loss 1.9686 (2.0262) Prec@1 51.250 (47.693) Prec@5 77.500 (78.227) Epoch: [52][8120/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 1.8570 (2.0262) Prec@1 49.375 (47.694) Prec@5 81.250 (78.228) Epoch: [52][8130/11272] Time 0.873 (0.805) Data 0.002 (0.002) Loss 1.8529 (2.0262) Prec@1 43.750 (47.693) Prec@5 82.500 (78.229) Epoch: [52][8140/11272] Time 0.798 (0.805) Data 0.001 (0.002) Loss 1.9797 (2.0263) Prec@1 50.625 (47.692) Prec@5 79.375 (78.227) Epoch: [52][8150/11272] Time 0.746 (0.805) Data 0.002 (0.002) Loss 2.1450 (2.0264) Prec@1 48.750 (47.690) Prec@5 76.250 (78.226) Epoch: [52][8160/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 1.9409 (2.0265) Prec@1 45.625 (47.689) Prec@5 83.750 (78.225) Epoch: [52][8170/11272] Time 0.945 (0.805) Data 0.002 (0.002) Loss 2.0398 (2.0266) Prec@1 47.500 (47.686) Prec@5 75.625 (78.223) Epoch: [52][8180/11272] Time 0.902 (0.805) Data 0.002 (0.002) Loss 1.9233 (2.0265) Prec@1 48.750 (47.686) Prec@5 81.250 (78.225) Epoch: [52][8190/11272] Time 0.739 (0.805) Data 0.002 (0.002) Loss 2.2117 (2.0265) Prec@1 46.875 (47.688) Prec@5 75.625 (78.225) Epoch: [52][8200/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 1.8657 (2.0265) Prec@1 51.250 (47.688) Prec@5 79.375 (78.224) Epoch: [52][8210/11272] Time 0.839 (0.805) Data 0.001 (0.002) Loss 2.3185 (2.0265) Prec@1 43.750 (47.684) Prec@5 70.625 (78.224) Epoch: [52][8220/11272] Time 0.862 (0.805) Data 0.002 (0.002) Loss 2.0375 (2.0265) Prec@1 42.500 (47.685) Prec@5 83.125 (78.224) Epoch: [52][8230/11272] Time 0.747 (0.805) Data 0.001 (0.002) Loss 2.2185 (2.0268) Prec@1 46.250 (47.680) Prec@5 74.375 (78.219) Epoch: [52][8240/11272] Time 0.921 (0.805) Data 0.001 (0.002) Loss 1.9845 (2.0268) Prec@1 53.125 (47.680) Prec@5 77.500 (78.218) Epoch: [52][8250/11272] Time 0.882 (0.805) Data 0.001 (0.002) Loss 1.9357 (2.0268) Prec@1 49.375 (47.680) Prec@5 82.500 (78.219) Epoch: [52][8260/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.0709 (2.0267) Prec@1 45.000 (47.682) Prec@5 78.750 (78.221) Epoch: [52][8270/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.0521 (2.0268) Prec@1 42.500 (47.679) Prec@5 74.375 (78.220) Epoch: [52][8280/11272] Time 0.855 (0.805) Data 0.002 (0.002) Loss 2.0278 (2.0270) Prec@1 50.000 (47.678) Prec@5 79.375 (78.215) Epoch: [52][8290/11272] Time 0.868 (0.805) Data 0.001 (0.002) Loss 2.1629 (2.0271) Prec@1 48.125 (47.676) Prec@5 73.750 (78.215) Epoch: [52][8300/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.1847 (2.0270) Prec@1 43.125 (47.677) Prec@5 72.500 (78.215) Epoch: [52][8310/11272] Time 0.757 (0.805) Data 0.002 (0.002) Loss 2.4584 (2.0271) Prec@1 40.000 (47.673) Prec@5 70.000 (78.211) Epoch: [52][8320/11272] Time 0.870 (0.805) Data 0.002 (0.002) Loss 2.1263 (2.0272) Prec@1 47.500 (47.671) Prec@5 79.375 (78.210) Epoch: [52][8330/11272] Time 0.876 (0.805) Data 0.001 (0.002) Loss 2.2171 (2.0272) Prec@1 43.750 (47.673) Prec@5 74.375 (78.208) Epoch: [52][8340/11272] Time 0.760 (0.805) Data 0.002 (0.002) Loss 2.0240 (2.0273) Prec@1 47.500 (47.671) Prec@5 78.125 (78.207) Epoch: [52][8350/11272] Time 0.736 (0.805) Data 0.001 (0.002) Loss 1.8042 (2.0272) Prec@1 46.250 (47.670) Prec@5 83.125 (78.207) Epoch: [52][8360/11272] Time 0.853 (0.805) Data 0.001 (0.002) Loss 1.7360 (2.0272) Prec@1 53.125 (47.672) Prec@5 86.250 (78.210) Epoch: [52][8370/11272] Time 0.755 (0.805) Data 0.003 (0.002) Loss 1.8248 (2.0272) Prec@1 52.500 (47.671) Prec@5 80.000 (78.209) Epoch: [52][8380/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 1.9338 (2.0271) Prec@1 48.125 (47.672) Prec@5 82.500 (78.211) Epoch: [52][8390/11272] Time 0.834 (0.805) Data 0.002 (0.002) Loss 2.1218 (2.0271) Prec@1 45.000 (47.670) Prec@5 74.375 (78.211) Epoch: [52][8400/11272] Time 0.911 (0.805) Data 0.002 (0.002) Loss 1.9728 (2.0271) Prec@1 46.875 (47.670) Prec@5 79.375 (78.210) Epoch: [52][8410/11272] Time 0.772 (0.805) Data 0.002 (0.002) Loss 2.0399 (2.0271) Prec@1 46.875 (47.671) Prec@5 77.500 (78.209) Epoch: [52][8420/11272] Time 0.776 (0.805) Data 0.001 (0.002) Loss 1.8862 (2.0271) Prec@1 50.625 (47.672) Prec@5 81.250 (78.211) Epoch: [52][8430/11272] Time 0.904 (0.805) Data 0.002 (0.002) Loss 2.1334 (2.0272) Prec@1 45.000 (47.671) Prec@5 75.625 (78.209) Epoch: [52][8440/11272] Time 0.881 (0.805) Data 0.003 (0.002) Loss 1.8939 (2.0273) Prec@1 51.250 (47.672) Prec@5 81.875 (78.210) Epoch: [52][8450/11272] Time 0.749 (0.805) Data 0.001 (0.002) Loss 1.9297 (2.0272) Prec@1 55.625 (47.674) Prec@5 80.000 (78.210) Epoch: [52][8460/11272] Time 0.738 (0.805) Data 0.002 (0.002) Loss 2.1663 (2.0272) Prec@1 43.750 (47.673) Prec@5 80.000 (78.211) Epoch: [52][8470/11272] Time 0.884 (0.805) Data 0.002 (0.002) Loss 2.0355 (2.0273) Prec@1 53.125 (47.674) Prec@5 74.375 (78.210) Epoch: [52][8480/11272] Time 0.839 (0.805) Data 0.002 (0.002) Loss 2.1124 (2.0273) Prec@1 50.000 (47.675) Prec@5 76.875 (78.209) Epoch: [52][8490/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.3670 (2.0273) Prec@1 35.000 (47.674) Prec@5 71.875 (78.208) Epoch: [52][8500/11272] Time 0.857 (0.805) Data 0.001 (0.002) Loss 1.9206 (2.0274) Prec@1 49.375 (47.674) Prec@5 80.000 (78.208) Epoch: [52][8510/11272] Time 0.939 (0.805) Data 0.001 (0.002) Loss 1.8532 (2.0272) Prec@1 49.375 (47.676) Prec@5 84.375 (78.210) Epoch: [52][8520/11272] Time 0.709 (0.805) Data 0.002 (0.002) Loss 2.1146 (2.0273) Prec@1 47.500 (47.676) Prec@5 77.500 (78.211) Epoch: [52][8530/11272] Time 0.804 (0.805) Data 0.002 (0.002) Loss 2.1386 (2.0273) Prec@1 42.500 (47.675) Prec@5 74.375 (78.209) Epoch: [52][8540/11272] Time 0.849 (0.805) Data 0.002 (0.002) Loss 1.9852 (2.0273) Prec@1 50.000 (47.676) Prec@5 78.125 (78.210) Epoch: [52][8550/11272] Time 0.880 (0.805) Data 0.001 (0.002) Loss 1.9749 (2.0273) Prec@1 47.500 (47.676) Prec@5 76.875 (78.211) Epoch: [52][8560/11272] Time 0.769 (0.805) Data 0.002 (0.002) Loss 2.1926 (2.0273) Prec@1 45.000 (47.678) Prec@5 78.750 (78.213) Epoch: [52][8570/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.1740 (2.0273) Prec@1 44.375 (47.675) Prec@5 73.750 (78.214) Epoch: [52][8580/11272] Time 0.912 (0.805) Data 0.002 (0.002) Loss 2.3205 (2.0274) Prec@1 42.500 (47.675) Prec@5 67.500 (78.211) Epoch: [52][8590/11272] Time 0.917 (0.805) Data 0.002 (0.002) Loss 2.0935 (2.0274) Prec@1 41.875 (47.673) Prec@5 78.750 (78.210) Epoch: [52][8600/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 1.9551 (2.0274) Prec@1 44.375 (47.673) Prec@5 80.000 (78.211) Epoch: [52][8610/11272] Time 0.729 (0.805) Data 0.002 (0.002) Loss 2.0351 (2.0275) Prec@1 48.750 (47.673) Prec@5 76.875 (78.211) Epoch: [52][8620/11272] Time 0.852 (0.805) Data 0.002 (0.002) Loss 2.0177 (2.0275) Prec@1 44.375 (47.671) Prec@5 77.500 (78.210) Epoch: [52][8630/11272] Time 0.926 (0.805) Data 0.002 (0.002) Loss 2.1351 (2.0276) Prec@1 44.375 (47.670) Prec@5 78.750 (78.207) Epoch: [52][8640/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 2.2041 (2.0276) Prec@1 46.875 (47.669) Prec@5 75.625 (78.207) Epoch: [52][8650/11272] Time 0.916 (0.805) Data 0.002 (0.002) Loss 1.9951 (2.0275) Prec@1 44.375 (47.670) Prec@5 81.875 (78.209) Epoch: [52][8660/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 2.0678 (2.0276) Prec@1 44.375 (47.669) Prec@5 78.750 (78.207) Epoch: [52][8670/11272] Time 0.733 (0.805) Data 0.002 (0.002) Loss 2.2562 (2.0276) Prec@1 46.250 (47.669) Prec@5 73.750 (78.206) Epoch: [52][8680/11272] Time 0.756 (0.805) Data 0.001 (0.002) Loss 2.0788 (2.0276) Prec@1 48.125 (47.669) Prec@5 78.125 (78.207) Epoch: [52][8690/11272] Time 0.896 (0.805) Data 0.002 (0.002) Loss 2.2335 (2.0276) Prec@1 45.625 (47.670) Prec@5 73.125 (78.208) Epoch: [52][8700/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.2687 (2.0276) Prec@1 38.750 (47.669) Prec@5 71.250 (78.207) Epoch: [52][8710/11272] Time 0.733 (0.805) Data 0.002 (0.002) Loss 1.9357 (2.0276) Prec@1 46.875 (47.670) Prec@5 78.750 (78.207) Epoch: [52][8720/11272] Time 0.762 (0.805) Data 0.002 (0.002) Loss 2.1757 (2.0277) Prec@1 42.500 (47.669) Prec@5 74.375 (78.206) Epoch: [52][8730/11272] Time 0.852 (0.805) Data 0.001 (0.002) Loss 1.8431 (2.0277) Prec@1 48.750 (47.669) Prec@5 81.250 (78.205) Epoch: [52][8740/11272] Time 0.837 (0.805) Data 0.001 (0.002) Loss 2.0984 (2.0278) Prec@1 46.250 (47.668) Prec@5 81.250 (78.203) Epoch: [52][8750/11272] Time 0.798 (0.805) Data 0.002 (0.002) Loss 2.1471 (2.0278) Prec@1 45.625 (47.669) Prec@5 76.250 (78.203) Epoch: [52][8760/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.0124 (2.0277) Prec@1 49.375 (47.669) Prec@5 81.875 (78.205) Epoch: [52][8770/11272] Time 0.843 (0.805) Data 0.001 (0.002) Loss 1.9152 (2.0277) Prec@1 51.250 (47.669) Prec@5 80.625 (78.206) Epoch: [52][8780/11272] Time 0.758 (0.805) Data 0.001 (0.002) Loss 2.1644 (2.0277) Prec@1 46.250 (47.669) Prec@5 75.000 (78.206) Epoch: [52][8790/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.1881 (2.0277) Prec@1 43.750 (47.668) Prec@5 72.500 (78.206) Epoch: [52][8800/11272] Time 0.838 (0.805) Data 0.002 (0.002) Loss 2.1232 (2.0278) Prec@1 45.625 (47.668) Prec@5 75.625 (78.204) Epoch: [52][8810/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 2.0913 (2.0278) Prec@1 41.875 (47.667) Prec@5 76.250 (78.203) Epoch: [52][8820/11272] Time 0.770 (0.805) Data 0.001 (0.002) Loss 2.0842 (2.0278) Prec@1 50.625 (47.667) Prec@5 75.625 (78.203) Epoch: [52][8830/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.1093 (2.0278) Prec@1 46.875 (47.666) Prec@5 76.875 (78.203) Epoch: [52][8840/11272] Time 0.875 (0.805) Data 0.002 (0.002) Loss 2.0620 (2.0277) Prec@1 46.875 (47.667) Prec@5 78.750 (78.204) Epoch: [52][8850/11272] Time 0.871 (0.805) Data 0.002 (0.002) Loss 1.9163 (2.0277) Prec@1 49.375 (47.666) Prec@5 83.125 (78.204) Epoch: [52][8860/11272] Time 0.764 (0.805) Data 0.002 (0.002) Loss 1.9265 (2.0278) Prec@1 48.125 (47.665) Prec@5 78.125 (78.202) Epoch: [52][8870/11272] Time 0.750 (0.805) Data 0.002 (0.002) Loss 2.0813 (2.0278) Prec@1 46.250 (47.664) Prec@5 76.875 (78.200) Epoch: [52][8880/11272] Time 0.827 (0.805) Data 0.001 (0.002) Loss 1.8722 (2.0278) Prec@1 45.625 (47.662) Prec@5 81.250 (78.200) Epoch: [52][8890/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 2.0057 (2.0278) Prec@1 48.125 (47.663) Prec@5 76.250 (78.200) Epoch: [52][8900/11272] Time 0.783 (0.805) Data 0.002 (0.002) Loss 2.0620 (2.0276) Prec@1 45.625 (47.666) Prec@5 75.625 (78.201) Epoch: [52][8910/11272] Time 0.865 (0.805) Data 0.002 (0.002) Loss 1.8412 (2.0276) Prec@1 48.125 (47.666) Prec@5 86.875 (78.203) Epoch: [52][8920/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 2.1054 (2.0276) Prec@1 46.875 (47.666) Prec@5 72.500 (78.202) Epoch: [52][8930/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 1.9421 (2.0276) Prec@1 47.500 (47.666) Prec@5 78.750 (78.204) Epoch: [52][8940/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.0022 (2.0276) Prec@1 51.250 (47.665) Prec@5 81.875 (78.203) Epoch: [52][8950/11272] Time 0.885 (0.805) Data 0.001 (0.002) Loss 1.9690 (2.0276) Prec@1 46.875 (47.664) Prec@5 78.125 (78.203) Epoch: [52][8960/11272] Time 0.826 (0.805) Data 0.001 (0.002) Loss 2.0112 (2.0277) Prec@1 45.625 (47.664) Prec@5 75.625 (78.202) Epoch: [52][8970/11272] Time 0.747 (0.805) Data 0.002 (0.002) Loss 2.0779 (2.0277) Prec@1 48.750 (47.663) Prec@5 78.125 (78.200) Epoch: [52][8980/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 1.8983 (2.0279) Prec@1 50.000 (47.660) Prec@5 80.625 (78.199) Epoch: [52][8990/11272] Time 0.823 (0.805) Data 0.001 (0.002) Loss 2.0371 (2.0279) Prec@1 46.250 (47.659) Prec@5 75.625 (78.197) Epoch: [52][9000/11272] Time 0.833 (0.805) Data 0.001 (0.002) Loss 2.1800 (2.0279) Prec@1 49.375 (47.658) Prec@5 78.750 (78.197) Epoch: [52][9010/11272] Time 0.731 (0.805) Data 0.001 (0.002) Loss 1.7975 (2.0278) Prec@1 51.875 (47.659) Prec@5 82.500 (78.198) Epoch: [52][9020/11272] Time 0.745 (0.805) Data 0.001 (0.002) Loss 1.8635 (2.0279) Prec@1 51.250 (47.659) Prec@5 81.250 (78.199) Epoch: [52][9030/11272] Time 0.920 (0.805) Data 0.002 (0.002) Loss 1.8868 (2.0279) Prec@1 51.875 (47.658) Prec@5 81.250 (78.198) Epoch: [52][9040/11272] Time 0.743 (0.805) Data 0.003 (0.002) Loss 2.0366 (2.0278) Prec@1 50.000 (47.659) Prec@5 80.000 (78.200) Epoch: [52][9050/11272] Time 0.725 (0.805) Data 0.001 (0.002) Loss 2.0544 (2.0278) Prec@1 47.500 (47.659) Prec@5 77.500 (78.201) Epoch: [52][9060/11272] Time 0.831 (0.805) Data 0.002 (0.002) Loss 2.1484 (2.0277) Prec@1 51.875 (47.661) Prec@5 75.625 (78.200) Epoch: [52][9070/11272] Time 0.878 (0.805) Data 0.002 (0.002) Loss 1.6249 (2.0276) Prec@1 56.250 (47.662) Prec@5 83.750 (78.201) Epoch: [52][9080/11272] Time 0.735 (0.805) Data 0.002 (0.002) Loss 2.0593 (2.0276) Prec@1 47.500 (47.662) Prec@5 80.000 (78.201) Epoch: [52][9090/11272] Time 0.748 (0.805) Data 0.002 (0.002) Loss 2.0636 (2.0276) Prec@1 47.500 (47.662) Prec@5 79.375 (78.202) Epoch: [52][9100/11272] Time 0.840 (0.805) Data 0.001 (0.002) Loss 1.9439 (2.0276) Prec@1 47.500 (47.662) Prec@5 78.750 (78.203) Epoch: [52][9110/11272] Time 0.846 (0.805) Data 0.002 (0.002) Loss 1.8476 (2.0275) Prec@1 53.750 (47.665) Prec@5 83.125 (78.203) Epoch: [52][9120/11272] Time 0.752 (0.805) Data 0.001 (0.002) Loss 2.1946 (2.0275) Prec@1 43.750 (47.663) Prec@5 76.875 (78.204) Epoch: [52][9130/11272] Time 0.752 (0.805) Data 0.002 (0.002) Loss 1.8735 (2.0275) Prec@1 51.875 (47.663) Prec@5 80.000 (78.204) Epoch: [52][9140/11272] Time 0.810 (0.805) Data 0.001 (0.002) Loss 2.2334 (2.0275) Prec@1 44.375 (47.664) Prec@5 74.375 (78.204) Epoch: [52][9150/11272] Time 0.812 (0.805) Data 0.002 (0.002) Loss 2.0043 (2.0275) Prec@1 53.750 (47.665) Prec@5 76.250 (78.204) Epoch: [52][9160/11272] Time 0.778 (0.805) Data 0.002 (0.002) Loss 2.1763 (2.0274) Prec@1 44.375 (47.665) Prec@5 74.375 (78.204) Epoch: [52][9170/11272] Time 0.924 (0.805) Data 0.001 (0.002) Loss 1.8018 (2.0274) Prec@1 53.125 (47.665) Prec@5 82.500 (78.204) Epoch: [52][9180/11272] Time 0.820 (0.805) Data 0.001 (0.002) Loss 1.8161 (2.0274) Prec@1 52.500 (47.665) Prec@5 78.125 (78.204) Epoch: [52][9190/11272] Time 0.782 (0.805) Data 0.002 (0.002) Loss 2.0505 (2.0275) Prec@1 45.625 (47.663) Prec@5 76.875 (78.201) Epoch: [52][9200/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.0295 (2.0275) Prec@1 46.875 (47.662) Prec@5 79.375 (78.200) Epoch: [52][9210/11272] Time 0.848 (0.805) Data 0.002 (0.002) Loss 1.7626 (2.0276) Prec@1 51.875 (47.662) Prec@5 81.250 (78.200) Epoch: [52][9220/11272] Time 0.802 (0.805) Data 0.001 (0.002) Loss 2.0858 (2.0276) Prec@1 45.625 (47.663) Prec@5 75.000 (78.199) Epoch: [52][9230/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 2.1591 (2.0276) Prec@1 41.875 (47.662) Prec@5 75.625 (78.199) Epoch: [52][9240/11272] Time 0.784 (0.805) Data 0.001 (0.002) Loss 2.1321 (2.0277) Prec@1 45.000 (47.662) Prec@5 75.625 (78.197) Epoch: [52][9250/11272] Time 0.884 (0.805) Data 0.002 (0.002) Loss 2.0038 (2.0277) Prec@1 48.125 (47.663) Prec@5 77.500 (78.196) Epoch: [52][9260/11272] Time 0.871 (0.805) Data 0.002 (0.002) Loss 2.1097 (2.0278) Prec@1 39.375 (47.660) Prec@5 75.000 (78.195) Epoch: [52][9270/11272] Time 0.751 (0.805) Data 0.001 (0.002) Loss 2.1277 (2.0279) Prec@1 47.500 (47.658) Prec@5 78.750 (78.195) Epoch: [52][9280/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.1866 (2.0278) Prec@1 46.250 (47.656) Prec@5 76.875 (78.196) Epoch: [52][9290/11272] Time 0.836 (0.805) Data 0.002 (0.002) Loss 2.2261 (2.0279) Prec@1 38.125 (47.655) Prec@5 74.375 (78.195) Epoch: [52][9300/11272] Time 0.759 (0.805) Data 0.003 (0.002) Loss 2.0555 (2.0278) Prec@1 49.375 (47.655) Prec@5 75.000 (78.195) Epoch: [52][9310/11272] Time 0.774 (0.805) Data 0.002 (0.002) Loss 2.0295 (2.0279) Prec@1 46.250 (47.653) Prec@5 79.375 (78.194) Epoch: [52][9320/11272] Time 0.917 (0.805) Data 0.002 (0.002) Loss 1.9228 (2.0279) Prec@1 52.500 (47.652) Prec@5 79.375 (78.193) Epoch: [52][9330/11272] Time 0.839 (0.805) Data 0.002 (0.002) Loss 2.0596 (2.0280) Prec@1 48.750 (47.650) Prec@5 77.500 (78.192) Epoch: [52][9340/11272] Time 0.774 (0.805) Data 0.002 (0.002) Loss 2.0140 (2.0280) Prec@1 48.125 (47.649) Prec@5 75.625 (78.192) Epoch: [52][9350/11272] Time 0.738 (0.805) Data 0.001 (0.002) Loss 1.9891 (2.0281) Prec@1 45.625 (47.647) Prec@5 80.000 (78.190) Epoch: [52][9360/11272] Time 0.814 (0.805) Data 0.001 (0.002) Loss 2.1100 (2.0282) Prec@1 40.625 (47.644) Prec@5 80.000 (78.188) Epoch: [52][9370/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 1.8805 (2.0282) Prec@1 52.500 (47.644) Prec@5 79.375 (78.188) Epoch: [52][9380/11272] Time 0.739 (0.805) Data 0.001 (0.002) Loss 2.1088 (2.0283) Prec@1 46.250 (47.642) Prec@5 76.875 (78.188) Epoch: [52][9390/11272] Time 0.768 (0.805) Data 0.002 (0.002) Loss 1.7827 (2.0282) Prec@1 51.250 (47.643) Prec@5 85.000 (78.188) Epoch: [52][9400/11272] Time 0.853 (0.805) Data 0.002 (0.002) Loss 2.0990 (2.0283) Prec@1 48.125 (47.642) Prec@5 75.000 (78.186) Epoch: [52][9410/11272] Time 0.846 (0.805) Data 0.001 (0.002) Loss 1.9672 (2.0283) Prec@1 52.500 (47.642) Prec@5 77.500 (78.188) Epoch: [52][9420/11272] Time 0.788 (0.805) Data 0.001 (0.002) Loss 2.1623 (2.0282) Prec@1 44.375 (47.643) Prec@5 76.875 (78.190) Epoch: [52][9430/11272] Time 0.898 (0.805) Data 0.002 (0.002) Loss 1.8864 (2.0282) Prec@1 46.250 (47.642) Prec@5 83.750 (78.190) Epoch: [52][9440/11272] Time 0.892 (0.805) Data 0.002 (0.002) Loss 1.8799 (2.0283) Prec@1 53.125 (47.642) Prec@5 79.375 (78.188) Epoch: [52][9450/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.2792 (2.0284) Prec@1 45.000 (47.641) Prec@5 72.500 (78.187) Epoch: [52][9460/11272] Time 0.743 (0.805) Data 0.001 (0.002) Loss 2.0527 (2.0283) Prec@1 50.625 (47.639) Prec@5 73.750 (78.186) Epoch: [52][9470/11272] Time 0.912 (0.805) Data 0.002 (0.002) Loss 1.9441 (2.0283) Prec@1 46.875 (47.640) Prec@5 77.500 (78.187) Epoch: [52][9480/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.0025 (2.0282) Prec@1 50.000 (47.640) Prec@5 78.125 (78.187) Epoch: [52][9490/11272] Time 0.779 (0.805) Data 0.001 (0.002) Loss 1.9589 (2.0282) Prec@1 51.875 (47.640) Prec@5 76.875 (78.187) Epoch: [52][9500/11272] Time 0.754 (0.805) Data 0.001 (0.002) Loss 2.1438 (2.0283) Prec@1 47.500 (47.639) Prec@5 77.500 (78.186) Epoch: [52][9510/11272] Time 0.842 (0.805) Data 0.002 (0.002) Loss 1.9347 (2.0283) Prec@1 51.250 (47.640) Prec@5 78.750 (78.187) Epoch: [52][9520/11272] Time 0.873 (0.805) Data 0.002 (0.002) Loss 1.9388 (2.0283) Prec@1 50.625 (47.639) Prec@5 79.375 (78.186) Epoch: [52][9530/11272] Time 0.761 (0.805) Data 0.002 (0.002) Loss 1.8279 (2.0283) Prec@1 46.250 (47.639) Prec@5 80.625 (78.186) Epoch: [52][9540/11272] Time 0.735 (0.805) Data 0.001 (0.002) Loss 1.8977 (2.0283) Prec@1 51.875 (47.639) Prec@5 81.250 (78.186) Epoch: [52][9550/11272] Time 0.822 (0.805) Data 0.001 (0.002) Loss 1.9421 (2.0283) Prec@1 52.500 (47.642) Prec@5 81.875 (78.187) Epoch: [52][9560/11272] Time 0.837 (0.805) Data 0.002 (0.002) Loss 2.0663 (2.0283) Prec@1 50.000 (47.642) Prec@5 75.625 (78.187) Epoch: [52][9570/11272] Time 0.770 (0.805) Data 0.001 (0.002) Loss 2.2253 (2.0283) Prec@1 47.500 (47.641) Prec@5 73.125 (78.187) Epoch: [52][9580/11272] Time 0.883 (0.805) Data 0.002 (0.002) Loss 2.1321 (2.0283) Prec@1 47.500 (47.640) Prec@5 75.625 (78.187) Epoch: [52][9590/11272] Time 0.842 (0.805) Data 0.001 (0.002) Loss 2.0459 (2.0283) Prec@1 41.875 (47.641) Prec@5 80.625 (78.188) Epoch: [52][9600/11272] Time 0.721 (0.805) Data 0.001 (0.002) Loss 2.0022 (2.0283) Prec@1 49.375 (47.641) Prec@5 78.750 (78.186) Epoch: [52][9610/11272] Time 0.775 (0.805) Data 0.002 (0.002) Loss 2.0035 (2.0283) Prec@1 47.500 (47.640) Prec@5 80.625 (78.187) Epoch: [52][9620/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 1.9644 (2.0283) Prec@1 46.875 (47.639) Prec@5 80.000 (78.185) Epoch: [52][9630/11272] Time 0.884 (0.805) Data 0.001 (0.002) Loss 1.8964 (2.0284) Prec@1 44.375 (47.639) Prec@5 80.625 (78.183) Epoch: [52][9640/11272] Time 0.711 (0.805) Data 0.001 (0.002) Loss 2.0292 (2.0283) Prec@1 46.875 (47.640) Prec@5 76.875 (78.185) Epoch: [52][9650/11272] Time 0.779 (0.805) Data 0.002 (0.002) Loss 2.2429 (2.0283) Prec@1 44.375 (47.641) Prec@5 71.875 (78.184) Epoch: [52][9660/11272] Time 0.889 (0.805) Data 0.002 (0.002) Loss 1.8198 (2.0284) Prec@1 50.625 (47.641) Prec@5 83.750 (78.183) Epoch: [52][9670/11272] Time 0.835 (0.805) Data 0.002 (0.002) Loss 1.8900 (2.0284) Prec@1 50.625 (47.642) Prec@5 82.500 (78.183) Epoch: [52][9680/11272] Time 0.734 (0.805) Data 0.001 (0.002) Loss 2.1344 (2.0285) Prec@1 46.875 (47.639) Prec@5 77.500 (78.181) Epoch: [52][9690/11272] Time 0.721 (0.805) Data 0.001 (0.002) Loss 2.3684 (2.0285) Prec@1 43.750 (47.638) Prec@5 70.625 (78.181) Epoch: [52][9700/11272] Time 0.833 (0.805) Data 0.002 (0.002) Loss 1.7290 (2.0285) Prec@1 53.125 (47.638) Prec@5 84.375 (78.182) Epoch: [52][9710/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 1.9630 (2.0286) Prec@1 50.000 (47.638) Prec@5 77.500 (78.182) Epoch: [52][9720/11272] Time 0.767 (0.805) Data 0.001 (0.002) Loss 1.8608 (2.0285) Prec@1 52.500 (47.640) Prec@5 81.250 (78.184) Epoch: [52][9730/11272] Time 0.829 (0.805) Data 0.001 (0.002) Loss 1.9319 (2.0285) Prec@1 51.250 (47.640) Prec@5 81.250 (78.185) Epoch: [52][9740/11272] Time 0.842 (0.805) Data 0.001 (0.002) Loss 2.3308 (2.0286) Prec@1 43.125 (47.637) Prec@5 70.625 (78.185) Epoch: [52][9750/11272] Time 0.756 (0.805) Data 0.002 (0.002) Loss 2.3326 (2.0286) Prec@1 39.375 (47.637) Prec@5 74.375 (78.184) Epoch: [52][9760/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.1606 (2.0286) Prec@1 43.125 (47.636) Prec@5 75.000 (78.184) Epoch: [52][9770/11272] Time 0.797 (0.805) Data 0.001 (0.002) Loss 1.8922 (2.0286) Prec@1 48.125 (47.636) Prec@5 80.000 (78.184) Epoch: [52][9780/11272] Time 0.824 (0.805) Data 0.001 (0.002) Loss 1.9667 (2.0286) Prec@1 56.250 (47.637) Prec@5 80.000 (78.184) Epoch: [52][9790/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.0836 (2.0287) Prec@1 50.000 (47.637) Prec@5 78.125 (78.183) Epoch: [52][9800/11272] Time 0.784 (0.805) Data 0.001 (0.002) Loss 2.2544 (2.0287) Prec@1 44.375 (47.637) Prec@5 75.000 (78.183) Epoch: [52][9810/11272] Time 0.857 (0.805) Data 0.002 (0.002) Loss 1.8731 (2.0287) Prec@1 50.625 (47.637) Prec@5 82.500 (78.182) Epoch: [52][9820/11272] Time 0.831 (0.805) Data 0.002 (0.002) Loss 2.0667 (2.0287) Prec@1 41.250 (47.638) Prec@5 73.750 (78.181) Epoch: [52][9830/11272] Time 0.783 (0.805) Data 0.001 (0.002) Loss 2.0053 (2.0287) Prec@1 48.125 (47.637) Prec@5 76.875 (78.181) Epoch: [52][9840/11272] Time 0.875 (0.805) Data 0.001 (0.002) Loss 1.9756 (2.0287) Prec@1 50.625 (47.639) Prec@5 79.375 (78.182) Epoch: [52][9850/11272] Time 0.824 (0.805) Data 0.001 (0.002) Loss 1.9834 (2.0287) Prec@1 49.375 (47.640) Prec@5 81.250 (78.183) Epoch: [52][9860/11272] Time 0.765 (0.805) Data 0.002 (0.002) Loss 1.8184 (2.0286) Prec@1 48.125 (47.640) Prec@5 83.750 (78.184) Epoch: [52][9870/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.0153 (2.0287) Prec@1 46.875 (47.639) Prec@5 80.000 (78.184) Epoch: [52][9880/11272] Time 0.913 (0.805) Data 0.001 (0.002) Loss 1.8711 (2.0286) Prec@1 50.625 (47.640) Prec@5 81.875 (78.184) Epoch: [52][9890/11272] Time 0.829 (0.805) Data 0.001 (0.002) Loss 2.1989 (2.0286) Prec@1 49.375 (47.640) Prec@5 73.750 (78.184) Epoch: [52][9900/11272] Time 0.728 (0.805) Data 0.001 (0.002) Loss 1.9449 (2.0286) Prec@1 49.375 (47.641) Prec@5 79.375 (78.184) Epoch: [52][9910/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 1.8879 (2.0286) Prec@1 49.375 (47.640) Prec@5 80.625 (78.184) Epoch: [52][9920/11272] Time 0.795 (0.805) Data 0.002 (0.002) Loss 2.1265 (2.0286) Prec@1 45.000 (47.639) Prec@5 75.625 (78.183) Epoch: [52][9930/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 2.1468 (2.0287) Prec@1 43.750 (47.638) Prec@5 71.875 (78.182) Epoch: [52][9940/11272] Time 0.736 (0.805) Data 0.001 (0.002) Loss 2.2096 (2.0287) Prec@1 41.250 (47.637) Prec@5 74.375 (78.182) Epoch: [52][9950/11272] Time 0.772 (0.805) Data 0.002 (0.002) Loss 1.8468 (2.0287) Prec@1 49.375 (47.635) Prec@5 83.125 (78.181) Epoch: [52][9960/11272] Time 0.862 (0.805) Data 0.001 (0.002) Loss 1.8460 (2.0286) Prec@1 50.625 (47.638) Prec@5 83.750 (78.181) Epoch: [52][9970/11272] Time 0.768 (0.805) Data 0.004 (0.002) Loss 2.0416 (2.0286) Prec@1 42.500 (47.637) Prec@5 77.500 (78.183) Epoch: [52][9980/11272] Time 0.795 (0.805) Data 0.002 (0.002) Loss 2.0411 (2.0286) Prec@1 46.250 (47.635) Prec@5 78.750 (78.181) Epoch: [52][9990/11272] Time 0.844 (0.805) Data 0.002 (0.002) Loss 2.2472 (2.0287) Prec@1 43.750 (47.633) Prec@5 75.000 (78.181) Epoch: [52][10000/11272] Time 0.855 (0.805) Data 0.002 (0.002) Loss 2.0552 (2.0287) Prec@1 43.125 (47.633) Prec@5 73.750 (78.181) Epoch: [52][10010/11272] Time 0.739 (0.805) Data 0.002 (0.002) Loss 2.1831 (2.0286) Prec@1 46.875 (47.633) Prec@5 72.500 (78.181) Epoch: [52][10020/11272] Time 0.740 (0.805) Data 0.002 (0.002) Loss 2.0436 (2.0286) Prec@1 50.625 (47.633) Prec@5 80.625 (78.182) Epoch: [52][10030/11272] Time 0.882 (0.805) Data 0.002 (0.002) Loss 1.9198 (2.0286) Prec@1 53.125 (47.634) Prec@5 80.625 (78.182) Epoch: [52][10040/11272] Time 0.895 (0.805) Data 0.002 (0.002) Loss 1.9423 (2.0286) Prec@1 49.375 (47.635) Prec@5 80.625 (78.183) Epoch: [52][10050/11272] Time 0.771 (0.805) Data 0.002 (0.002) Loss 2.0834 (2.0287) Prec@1 48.125 (47.633) Prec@5 76.250 (78.182) Epoch: [52][10060/11272] Time 0.718 (0.805) Data 0.002 (0.002) Loss 2.1609 (2.0287) Prec@1 52.500 (47.632) Prec@5 75.625 (78.181) Epoch: [52][10070/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 2.2054 (2.0287) Prec@1 47.500 (47.632) Prec@5 78.125 (78.180) Epoch: [52][10080/11272] Time 0.849 (0.805) Data 0.001 (0.002) Loss 2.1791 (2.0288) Prec@1 46.250 (47.630) Prec@5 73.750 (78.178) Epoch: [52][10090/11272] Time 0.719 (0.805) Data 0.002 (0.002) Loss 2.0442 (2.0288) Prec@1 45.625 (47.630) Prec@5 76.875 (78.178) Epoch: [52][10100/11272] Time 0.894 (0.805) Data 0.001 (0.002) Loss 2.0752 (2.0287) Prec@1 48.125 (47.631) Prec@5 76.250 (78.179) Epoch: [52][10110/11272] Time 0.846 (0.805) Data 0.002 (0.002) Loss 2.2099 (2.0288) Prec@1 47.500 (47.631) Prec@5 73.125 (78.177) Epoch: [52][10120/11272] Time 0.736 (0.805) Data 0.001 (0.002) Loss 2.0502 (2.0289) Prec@1 46.250 (47.629) Prec@5 79.375 (78.176) Epoch: [52][10130/11272] Time 0.722 (0.805) Data 0.001 (0.002) Loss 2.2078 (2.0290) Prec@1 47.500 (47.628) Prec@5 73.125 (78.175) Epoch: [52][10140/11272] Time 0.860 (0.805) Data 0.002 (0.002) Loss 1.9365 (2.0289) Prec@1 42.500 (47.628) Prec@5 81.875 (78.174) Epoch: [52][10150/11272] Time 0.906 (0.805) Data 0.001 (0.002) Loss 2.0420 (2.0289) Prec@1 48.125 (47.629) Prec@5 79.375 (78.174) Epoch: [52][10160/11272] Time 0.715 (0.805) Data 0.001 (0.002) Loss 2.0636 (2.0289) Prec@1 48.125 (47.628) Prec@5 76.250 (78.173) Epoch: [52][10170/11272] Time 0.716 (0.805) Data 0.001 (0.002) Loss 1.9820 (2.0290) Prec@1 46.875 (47.627) Prec@5 76.875 (78.172) Epoch: [52][10180/11272] Time 0.826 (0.805) Data 0.001 (0.002) Loss 2.1883 (2.0291) Prec@1 42.500 (47.623) Prec@5 77.500 (78.170) Epoch: [52][10190/11272] Time 0.836 (0.805) Data 0.002 (0.002) Loss 2.0023 (2.0292) Prec@1 46.250 (47.621) Prec@5 77.500 (78.169) Epoch: [52][10200/11272] Time 0.790 (0.805) Data 0.002 (0.002) Loss 2.0847 (2.0292) Prec@1 48.750 (47.619) Prec@5 75.000 (78.169) Epoch: [52][10210/11272] Time 0.803 (0.805) Data 0.002 (0.002) Loss 2.1175 (2.0292) Prec@1 45.000 (47.618) Prec@5 78.750 (78.168) Epoch: [52][10220/11272] Time 0.902 (0.805) Data 0.002 (0.002) Loss 2.0210 (2.0292) Prec@1 45.625 (47.619) Prec@5 78.125 (78.167) Epoch: [52][10230/11272] Time 0.729 (0.805) Data 0.003 (0.002) Loss 2.0419 (2.0293) Prec@1 43.750 (47.618) Prec@5 77.500 (78.166) Epoch: [52][10240/11272] Time 0.745 (0.805) Data 0.001 (0.002) Loss 2.0547 (2.0292) Prec@1 46.875 (47.621) Prec@5 78.750 (78.168) Epoch: [52][10250/11272] Time 0.927 (0.805) Data 0.002 (0.002) Loss 2.0020 (2.0292) Prec@1 51.250 (47.621) Prec@5 76.875 (78.168) Epoch: [52][10260/11272] Time 0.845 (0.805) Data 0.001 (0.002) Loss 2.0454 (2.0293) Prec@1 46.250 (47.620) Prec@5 75.625 (78.167) Epoch: [52][10270/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.0252 (2.0292) Prec@1 46.875 (47.619) Prec@5 78.125 (78.167) Epoch: [52][10280/11272] Time 0.782 (0.805) Data 0.002 (0.002) Loss 2.1328 (2.0293) Prec@1 49.375 (47.617) Prec@5 76.250 (78.167) Epoch: [52][10290/11272] Time 0.931 (0.805) Data 0.002 (0.002) Loss 1.9777 (2.0292) Prec@1 53.750 (47.620) Prec@5 78.750 (78.167) Epoch: [52][10300/11272] Time 0.920 (0.805) Data 0.002 (0.002) Loss 2.2084 (2.0293) Prec@1 42.500 (47.619) Prec@5 75.625 (78.165) Epoch: [52][10310/11272] Time 0.737 (0.805) Data 0.002 (0.002) Loss 2.0169 (2.0293) Prec@1 43.750 (47.617) Prec@5 78.125 (78.166) Epoch: [52][10320/11272] Time 0.744 (0.805) Data 0.002 (0.002) Loss 2.2478 (2.0294) Prec@1 46.250 (47.617) Prec@5 73.750 (78.164) Epoch: [52][10330/11272] Time 0.872 (0.805) Data 0.001 (0.002) Loss 1.9223 (2.0294) Prec@1 50.625 (47.616) Prec@5 78.750 (78.163) Epoch: [52][10340/11272] Time 0.878 (0.805) Data 0.001 (0.002) Loss 2.2454 (2.0294) Prec@1 48.750 (47.617) Prec@5 71.875 (78.164) Epoch: [52][10350/11272] Time 0.722 (0.805) Data 0.001 (0.002) Loss 2.0541 (2.0295) Prec@1 46.875 (47.616) Prec@5 74.375 (78.162) Epoch: [52][10360/11272] Time 0.831 (0.805) Data 0.001 (0.002) Loss 1.8235 (2.0296) Prec@1 51.875 (47.615) Prec@5 81.875 (78.161) Epoch: [52][10370/11272] Time 0.845 (0.805) Data 0.001 (0.002) Loss 2.1088 (2.0295) Prec@1 45.625 (47.615) Prec@5 76.250 (78.162) Epoch: [52][10380/11272] Time 0.740 (0.805) Data 0.001 (0.002) Loss 2.0499 (2.0296) Prec@1 44.375 (47.612) Prec@5 80.625 (78.161) Epoch: [52][10390/11272] Time 0.746 (0.805) Data 0.001 (0.002) Loss 1.9763 (2.0296) Prec@1 53.125 (47.612) Prec@5 74.375 (78.161) Epoch: [52][10400/11272] Time 0.830 (0.805) Data 0.001 (0.002) Loss 2.1099 (2.0296) Prec@1 45.000 (47.613) Prec@5 82.500 (78.162) Epoch: [52][10410/11272] Time 0.864 (0.805) Data 0.001 (0.002) Loss 1.9796 (2.0296) Prec@1 48.750 (47.612) Prec@5 78.750 (78.162) Epoch: [52][10420/11272] Time 0.742 (0.805) Data 0.001 (0.002) Loss 2.2353 (2.0296) Prec@1 45.000 (47.613) Prec@5 72.500 (78.162) Epoch: [52][10430/11272] Time 0.732 (0.805) Data 0.001 (0.002) Loss 2.1278 (2.0297) Prec@1 43.750 (47.611) Prec@5 74.375 (78.160) Epoch: [52][10440/11272] Time 0.831 (0.805) Data 0.002 (0.002) Loss 1.8929 (2.0296) Prec@1 50.625 (47.615) Prec@5 79.375 (78.161) Epoch: [52][10450/11272] Time 0.819 (0.805) Data 0.001 (0.002) Loss 1.7036 (2.0296) Prec@1 58.125 (47.616) Prec@5 82.500 (78.161) Epoch: [52][10460/11272] Time 0.747 (0.805) Data 0.002 (0.002) Loss 2.0683 (2.0296) Prec@1 48.125 (47.617) Prec@5 73.750 (78.161) Epoch: [52][10470/11272] Time 0.772 (0.805) Data 0.002 (0.002) Loss 1.9097 (2.0296) Prec@1 53.125 (47.615) Prec@5 79.375 (78.160) Epoch: [52][10480/11272] Time 0.849 (0.805) Data 0.002 (0.002) Loss 1.8342 (2.0296) Prec@1 49.375 (47.615) Prec@5 83.125 (78.160) Epoch: [52][10490/11272] Time 0.867 (0.805) Data 0.001 (0.002) Loss 1.8749 (2.0296) Prec@1 50.625 (47.616) Prec@5 80.625 (78.161) Epoch: [52][10500/11272] Time 0.724 (0.805) Data 0.001 (0.002) Loss 1.9366 (2.0296) Prec@1 48.750 (47.616) Prec@5 79.375 (78.161) Epoch: [52][10510/11272] Time 0.879 (0.805) Data 0.002 (0.002) Loss 1.9093 (2.0295) Prec@1 50.000 (47.617) Prec@5 80.625 (78.161) Epoch: [52][10520/11272] Time 0.845 (0.805) Data 0.001 (0.002) Loss 2.0965 (2.0296) Prec@1 47.500 (47.615) Prec@5 76.875 (78.159) Epoch: [52][10530/11272] Time 0.726 (0.805) Data 0.002 (0.002) Loss 1.9641 (2.0296) Prec@1 46.250 (47.614) Prec@5 77.500 (78.159) Epoch: [52][10540/11272] Time 0.727 (0.805) Data 0.001 (0.002) Loss 2.2028 (2.0296) Prec@1 42.500 (47.614) Prec@5 72.500 (78.158) Epoch: [52][10550/11272] Time 0.923 (0.805) Data 0.001 (0.002) Loss 2.1252 (2.0296) Prec@1 45.625 (47.614) Prec@5 75.625 (78.158) Epoch: [52][10560/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.1812 (2.0297) Prec@1 42.500 (47.613) Prec@5 69.375 (78.157) Epoch: [52][10570/11272] Time 0.771 (0.805) Data 0.002 (0.002) Loss 1.7937 (2.0297) Prec@1 50.000 (47.611) Prec@5 78.750 (78.155) Epoch: [52][10580/11272] Time 0.812 (0.805) Data 0.001 (0.002) Loss 1.9718 (2.0297) Prec@1 53.125 (47.610) Prec@5 80.625 (78.156) Epoch: [52][10590/11272] Time 0.885 (0.805) Data 0.002 (0.002) Loss 2.2241 (2.0298) Prec@1 44.375 (47.609) Prec@5 73.125 (78.155) Epoch: [52][10600/11272] Time 0.897 (0.805) Data 0.002 (0.002) Loss 2.1496 (2.0298) Prec@1 45.000 (47.608) Prec@5 73.750 (78.154) Epoch: [52][10610/11272] Time 0.825 (0.805) Data 0.002 (0.002) Loss 1.8823 (2.0298) Prec@1 51.250 (47.608) Prec@5 78.750 (78.153) Epoch: [52][10620/11272] Time 0.777 (0.805) Data 0.002 (0.002) Loss 2.0962 (2.0299) Prec@1 44.375 (47.605) Prec@5 78.750 (78.154) Epoch: [52][10630/11272] Time 0.825 (0.805) Data 0.001 (0.002) Loss 2.1078 (2.0299) Prec@1 43.125 (47.605) Prec@5 76.250 (78.154) Epoch: [52][10640/11272] Time 0.720 (0.805) Data 0.001 (0.002) Loss 2.1036 (2.0299) Prec@1 46.250 (47.605) Prec@5 76.875 (78.154) Epoch: [52][10650/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.1541 (2.0299) Prec@1 41.875 (47.605) Prec@5 78.750 (78.154) Epoch: [52][10660/11272] Time 0.910 (0.805) Data 0.001 (0.002) Loss 2.0949 (2.0299) Prec@1 43.750 (47.604) Prec@5 71.875 (78.153) Epoch: [52][10670/11272] Time 0.840 (0.805) Data 0.002 (0.002) Loss 2.1302 (2.0300) Prec@1 43.125 (47.601) Prec@5 78.125 (78.151) Epoch: [52][10680/11272] Time 0.771 (0.805) Data 0.002 (0.002) Loss 2.2581 (2.0300) Prec@1 41.875 (47.600) Prec@5 76.250 (78.151) Epoch: [52][10690/11272] Time 0.733 (0.805) Data 0.001 (0.002) Loss 2.2539 (2.0301) Prec@1 40.625 (47.597) Prec@5 69.375 (78.149) Epoch: [52][10700/11272] Time 0.870 (0.805) Data 0.002 (0.002) Loss 2.1911 (2.0301) Prec@1 46.250 (47.600) Prec@5 76.875 (78.149) Epoch: [52][10710/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 2.0444 (2.0301) Prec@1 48.750 (47.600) Prec@5 75.000 (78.149) Epoch: [52][10720/11272] Time 0.726 (0.805) Data 0.001 (0.002) Loss 2.2536 (2.0301) Prec@1 46.875 (47.600) Prec@5 74.375 (78.149) Epoch: [52][10730/11272] Time 0.771 (0.805) Data 0.002 (0.002) Loss 1.9888 (2.0301) Prec@1 48.750 (47.600) Prec@5 76.250 (78.148) Epoch: [52][10740/11272] Time 0.885 (0.805) Data 0.002 (0.002) Loss 2.0990 (2.0301) Prec@1 47.500 (47.599) Prec@5 74.375 (78.148) Epoch: [52][10750/11272] Time 0.853 (0.805) Data 0.002 (0.002) Loss 2.1921 (2.0302) Prec@1 46.250 (47.599) Prec@5 75.625 (78.145) Epoch: [52][10760/11272] Time 0.779 (0.805) Data 0.002 (0.002) Loss 2.0730 (2.0301) Prec@1 49.375 (47.600) Prec@5 78.125 (78.145) Epoch: [52][10770/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.1242 (2.0301) Prec@1 48.125 (47.601) Prec@5 80.000 (78.146) Epoch: [52][10780/11272] Time 0.877 (0.805) Data 0.002 (0.002) Loss 2.0522 (2.0301) Prec@1 41.875 (47.600) Prec@5 77.500 (78.147) Epoch: [52][10790/11272] Time 0.724 (0.805) Data 0.002 (0.002) Loss 1.9361 (2.0300) Prec@1 46.875 (47.601) Prec@5 78.750 (78.148) Epoch: [52][10800/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.0428 (2.0300) Prec@1 45.625 (47.600) Prec@5 78.750 (78.148) Epoch: [52][10810/11272] Time 0.904 (0.805) Data 0.002 (0.002) Loss 2.0711 (2.0300) Prec@1 50.000 (47.600) Prec@5 76.875 (78.147) Epoch: [52][10820/11272] Time 0.832 (0.805) Data 0.001 (0.002) Loss 1.8404 (2.0301) Prec@1 55.000 (47.600) Prec@5 79.375 (78.146) Epoch: [52][10830/11272] Time 0.740 (0.805) Data 0.001 (0.002) Loss 1.8643 (2.0300) Prec@1 50.625 (47.601) Prec@5 78.125 (78.146) Epoch: [52][10840/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.2763 (2.0301) Prec@1 41.875 (47.599) Prec@5 72.500 (78.144) Epoch: [52][10850/11272] Time 0.871 (0.805) Data 0.002 (0.002) Loss 1.9844 (2.0301) Prec@1 51.250 (47.598) Prec@5 77.500 (78.144) Epoch: [52][10860/11272] Time 0.854 (0.805) Data 0.001 (0.002) Loss 2.0701 (2.0301) Prec@1 47.500 (47.598) Prec@5 78.125 (78.144) Epoch: [52][10870/11272] Time 0.784 (0.805) Data 0.002 (0.002) Loss 2.0079 (2.0301) Prec@1 50.000 (47.599) Prec@5 77.500 (78.145) Epoch: [52][10880/11272] Time 0.762 (0.805) Data 0.001 (0.002) Loss 2.0442 (2.0301) Prec@1 48.125 (47.600) Prec@5 77.500 (78.145) Epoch: [52][10890/11272] Time 0.856 (0.805) Data 0.002 (0.002) Loss 2.0101 (2.0301) Prec@1 51.250 (47.601) Prec@5 72.500 (78.144) Epoch: [52][10900/11272] Time 0.788 (0.805) Data 0.003 (0.002) Loss 1.8259 (2.0301) Prec@1 54.375 (47.600) Prec@5 81.875 (78.143) Epoch: [52][10910/11272] Time 0.756 (0.805) Data 0.002 (0.002) Loss 1.9149 (2.0301) Prec@1 50.625 (47.599) Prec@5 80.625 (78.143) Epoch: [52][10920/11272] Time 0.882 (0.805) Data 0.001 (0.002) Loss 2.0352 (2.0301) Prec@1 48.125 (47.600) Prec@5 78.750 (78.143) Epoch: [52][10930/11272] Time 0.898 (0.805) Data 0.002 (0.002) Loss 1.9052 (2.0301) Prec@1 51.250 (47.601) Prec@5 78.750 (78.143) Epoch: [52][10940/11272] Time 0.760 (0.805) Data 0.002 (0.002) Loss 1.8405 (2.0302) Prec@1 53.125 (47.599) Prec@5 80.000 (78.140) Epoch: [52][10950/11272] Time 0.773 (0.805) Data 0.002 (0.002) Loss 1.8899 (2.0303) Prec@1 45.625 (47.598) Prec@5 76.875 (78.139) Epoch: [52][10960/11272] Time 0.929 (0.805) Data 0.002 (0.002) Loss 2.0144 (2.0303) Prec@1 46.875 (47.598) Prec@5 81.250 (78.138) Epoch: [52][10970/11272] Time 0.871 (0.805) Data 0.002 (0.002) Loss 2.1626 (2.0303) Prec@1 46.250 (47.597) Prec@5 78.750 (78.137) Epoch: [52][10980/11272] Time 0.742 (0.805) Data 0.002 (0.002) Loss 2.2053 (2.0304) Prec@1 46.250 (47.596) Prec@5 72.500 (78.137) Epoch: [52][10990/11272] Time 0.770 (0.805) Data 0.001 (0.002) Loss 1.9300 (2.0304) Prec@1 52.500 (47.598) Prec@5 78.750 (78.137) Epoch: [52][11000/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.2058 (2.0304) Prec@1 39.375 (47.599) Prec@5 75.625 (78.138) Epoch: [52][11010/11272] Time 0.832 (0.805) Data 0.001 (0.002) Loss 2.1021 (2.0304) Prec@1 43.125 (47.599) Prec@5 73.750 (78.136) Epoch: [52][11020/11272] Time 0.754 (0.805) Data 0.002 (0.002) Loss 1.9110 (2.0304) Prec@1 48.750 (47.600) Prec@5 79.375 (78.136) Epoch: [52][11030/11272] Time 0.865 (0.805) Data 0.002 (0.002) Loss 2.2434 (2.0305) Prec@1 40.000 (47.599) Prec@5 76.250 (78.135) Epoch: [52][11040/11272] Time 0.877 (0.805) Data 0.001 (0.002) Loss 1.9655 (2.0305) Prec@1 48.750 (47.599) Prec@5 80.625 (78.134) Epoch: [52][11050/11272] Time 0.750 (0.805) Data 0.001 (0.002) Loss 1.8979 (2.0305) Prec@1 52.500 (47.600) Prec@5 82.500 (78.134) Epoch: [52][11060/11272] Time 0.749 (0.805) Data 0.002 (0.002) Loss 2.0031 (2.0305) Prec@1 51.250 (47.601) Prec@5 74.375 (78.134) Epoch: [52][11070/11272] Time 0.846 (0.805) Data 0.001 (0.002) Loss 2.1203 (2.0306) Prec@1 42.500 (47.599) Prec@5 79.375 (78.132) Epoch: [52][11080/11272] Time 0.903 (0.805) Data 0.002 (0.002) Loss 2.1742 (2.0306) Prec@1 43.125 (47.599) Prec@5 72.500 (78.132) Epoch: [52][11090/11272] Time 0.793 (0.805) Data 0.002 (0.002) Loss 1.7648 (2.0305) Prec@1 53.750 (47.598) Prec@5 81.250 (78.133) Epoch: [52][11100/11272] Time 0.736 (0.805) Data 0.002 (0.002) Loss 1.8135 (2.0305) Prec@1 53.125 (47.598) Prec@5 80.000 (78.134) Epoch: [52][11110/11272] Time 0.878 (0.805) Data 0.002 (0.002) Loss 2.2438 (2.0305) Prec@1 42.500 (47.597) Prec@5 75.000 (78.133) Epoch: [52][11120/11272] Time 0.861 (0.805) Data 0.001 (0.002) Loss 1.7608 (2.0305) Prec@1 54.375 (47.597) Prec@5 81.875 (78.133) Epoch: [52][11130/11272] Time 0.765 (0.805) Data 0.002 (0.002) Loss 2.0513 (2.0305) Prec@1 46.250 (47.596) Prec@5 77.500 (78.132) Epoch: [52][11140/11272] Time 0.730 (0.805) Data 0.001 (0.002) Loss 2.1246 (2.0305) Prec@1 45.000 (47.596) Prec@5 78.750 (78.133) Epoch: [52][11150/11272] Time 0.855 (0.805) Data 0.002 (0.002) Loss 2.1782 (2.0305) Prec@1 45.000 (47.596) Prec@5 71.875 (78.133) Epoch: [52][11160/11272] Time 0.800 (0.805) Data 0.003 (0.002) Loss 2.0138 (2.0306) Prec@1 54.375 (47.596) Prec@5 76.250 (78.132) Epoch: [52][11170/11272] Time 0.770 (0.805) Data 0.002 (0.002) Loss 2.2189 (2.0306) Prec@1 44.375 (47.595) Prec@5 70.000 (78.129) Epoch: [52][11180/11272] Time 0.852 (0.805) Data 0.002 (0.002) Loss 1.7346 (2.0306) Prec@1 52.500 (47.593) Prec@5 85.000 (78.130) Epoch: [52][11190/11272] Time 0.858 (0.805) Data 0.002 (0.002) Loss 1.9651 (2.0306) Prec@1 47.500 (47.594) Prec@5 82.500 (78.131) Epoch: [52][11200/11272] Time 0.769 (0.805) Data 0.001 (0.002) Loss 1.9285 (2.0306) Prec@1 51.250 (47.595) Prec@5 81.875 (78.130) Epoch: [52][11210/11272] Time 0.720 (0.805) Data 0.001 (0.002) Loss 2.0039 (2.0306) Prec@1 52.500 (47.595) Prec@5 76.875 (78.131) Epoch: [52][11220/11272] Time 0.836 (0.805) Data 0.001 (0.002) Loss 2.2302 (2.0306) Prec@1 43.125 (47.594) Prec@5 74.375 (78.131) Epoch: [52][11230/11272] Time 0.815 (0.805) Data 0.001 (0.002) Loss 2.1130 (2.0306) Prec@1 46.250 (47.594) Prec@5 77.500 (78.131) Epoch: [52][11240/11272] Time 0.757 (0.805) Data 0.002 (0.002) Loss 2.0000 (2.0306) Prec@1 47.500 (47.594) Prec@5 78.125 (78.130) Epoch: [52][11250/11272] Time 0.751 (0.805) Data 0.001 (0.002) Loss 2.1634 (2.0307) Prec@1 47.500 (47.594) Prec@5 75.625 (78.128) Epoch: [52][11260/11272] Time 0.814 (0.805) Data 0.001 (0.002) Loss 1.8474 (2.0307) Prec@1 51.250 (47.595) Prec@5 81.250 (78.128) Epoch: [52][11270/11272] Time 0.797 (0.805) Data 0.000 (0.002) Loss 1.9965 (2.0307) Prec@1 46.875 (47.592) Prec@5 80.625 (78.128) Test: [0/229] Time 2.169 (2.169) Loss 1.1796 (1.1796) Prec@1 65.625 (65.625) Prec@5 93.125 (93.125) Test: [10/229] Time 0.436 (0.550) Loss 1.0006 (1.7106) Prec@1 71.875 (52.841) Prec@5 96.250 (86.307) Test: [20/229] Time 0.344 (0.468) Loss 2.0944 (1.7426) Prec@1 47.500 (51.935) Prec@5 78.125 (85.060) Test: [30/229] Time 0.410 (0.439) Loss 1.9404 (1.6905) Prec@1 46.250 (53.730) Prec@5 88.750 (85.685) Test: [40/229] Time 0.414 (0.425) Loss 0.4425 (1.6822) Prec@1 90.625 (54.314) Prec@5 95.000 (85.473) Test: [50/229] Time 0.378 (0.416) Loss 2.6611 (1.7551) Prec@1 31.250 (53.088) Prec@5 73.125 (83.664) Test: [60/229] Time 0.333 (0.408) Loss 2.1875 (1.7482) Prec@1 36.250 (53.064) Prec@5 81.875 (83.596) Test: [70/229] Time 0.333 (0.402) Loss 1.4039 (1.7591) Prec@1 66.875 (53.055) Prec@5 83.750 (83.451) Test: [80/229] Time 0.420 (0.398) Loss 2.1860 (1.7787) Prec@1 36.875 (52.284) Prec@5 85.000 (83.573) Test: [90/229] Time 0.354 (0.395) Loss 1.5528 (1.7800) Prec@1 61.250 (52.287) Prec@5 85.000 (83.709) Test: [100/229] Time 0.439 (0.393) Loss 2.2801 (1.7712) Prec@1 47.500 (52.710) Prec@5 80.000 (83.787) Test: [110/229] Time 0.348 (0.392) Loss 1.5301 (1.7454) Prec@1 58.750 (53.221) Prec@5 83.125 (84.065) Test: [120/229] Time 0.427 (0.390) Loss 2.9120 (1.7652) Prec@1 31.250 (52.707) Prec@5 69.375 (83.833) Test: [130/229] Time 0.328 (0.388) Loss 1.5177 (1.7465) Prec@1 53.750 (53.082) Prec@5 90.000 (84.103) Test: [140/229] Time 0.341 (0.387) Loss 1.8628 (1.7597) Prec@1 48.750 (52.677) Prec@5 83.750 (83.976) Test: [150/229] Time 0.439 (0.386) Loss 1.0471 (1.7748) Prec@1 75.000 (52.185) Prec@5 91.875 (83.845) Test: [160/229] Time 0.331 (0.384) Loss 2.0793 (1.7774) Prec@1 48.750 (52.038) Prec@5 78.750 (83.820) Test: [170/229] Time 0.443 (0.383) Loss 1.8551 (1.7952) Prec@1 49.375 (51.495) Prec@5 88.125 (83.589) Test: [180/229] Time 0.354 (0.382) Loss 2.3393 (1.7978) Prec@1 36.250 (51.578) Prec@5 72.500 (83.467) Test: [190/229] Time 0.395 (0.381) Loss 1.2872 (1.7857) Prec@1 65.625 (51.990) Prec@5 93.125 (83.606) Test: [200/229] Time 0.410 (0.381) Loss 2.0009 (1.7810) Prec@1 43.125 (51.984) Prec@5 77.500 (83.725) Test: [210/229] Time 0.325 (0.380) Loss 1.2947 (1.7721) Prec@1 60.000 (52.245) Prec@5 91.875 (83.871) Test: [220/229] Time 0.441 (0.380) Loss 1.4225 (1.7590) Prec@1 61.875 (52.718) Prec@5 88.125 (83.945) * Prec@1 52.989 Prec@5 84.003 Epoch: [53][0/11272] Time 3.739 (3.739) Data 2.743 (2.743) Loss 1.8723 (1.8723) Prec@1 45.625 (45.625) Prec@5 82.500 (82.500) Epoch: [53][10/11272] Time 0.773 (1.080) Data 0.001 (0.251) Loss 1.9945 (2.0286) Prec@1 50.625 (47.159) Prec@5 81.875 (79.545) Epoch: [53][20/11272] Time 0.719 (0.948) Data 0.002 (0.132) Loss 2.1105 (2.0242) Prec@1 40.625 (46.935) Prec@5 75.625 (78.690) Epoch: [53][30/11272] Time 0.879 (0.908) Data 0.002 (0.090) Loss 2.0558 (2.0122) Prec@1 46.875 (47.742) Prec@5 78.125 (79.214) Epoch: [53][40/11272] Time 0.891 (0.884) Data 0.002 (0.069) Loss 2.1757 (2.0133) Prec@1 41.250 (47.576) Prec@5 78.125 (79.146) Epoch: [53][50/11272] Time 0.773 (0.869) Data 0.002 (0.055) Loss 2.1463 (2.0197) Prec@1 43.750 (47.475) Prec@5 74.375 (78.848) Epoch: [53][60/11272] Time 0.734 (0.862) Data 0.002 (0.047) Loss 2.0977 (2.0117) Prec@1 45.000 (47.674) Prec@5 76.875 (78.934) Epoch: [53][70/11272] Time 0.860 (0.857) Data 0.002 (0.040) Loss 2.0066 (2.0204) Prec@1 46.250 (47.711) Prec@5 75.625 (78.592) Epoch: [53][80/11272] Time 0.870 (0.850) Data 0.001 (0.036) Loss 2.0297 (2.0139) Prec@1 53.125 (47.816) Prec@5 75.000 (78.580) Epoch: [53][90/11272] Time 0.737 (0.845) Data 0.002 (0.032) Loss 1.9212 (2.0081) Prec@1 48.125 (47.816) Prec@5 80.000 (78.606) Epoch: [53][100/11272] Time 0.733 (0.841) Data 0.001 (0.029) Loss 1.8882 (2.0142) Prec@1 46.875 (47.630) Prec@5 82.500 (78.397) Epoch: [53][110/11272] Time 0.848 (0.838) Data 0.002 (0.026) Loss 1.8355 (2.0156) Prec@1 50.625 (47.573) Prec@5 80.625 (78.339) Epoch: [53][120/11272] Time 0.725 (0.836) Data 0.001 (0.024) Loss 2.0036 (2.0197) Prec@1 45.625 (47.541) Prec@5 75.625 (78.239) Epoch: [53][130/11272] Time 0.748 (0.834) Data 0.002 (0.023) Loss 1.8172 (2.0190) Prec@1 50.625 (47.634) Prec@5 81.250 (78.273) Epoch: [53][140/11272] Time 0.845 (0.833) Data 0.002 (0.021) Loss 2.0825 (2.0177) Prec@1 47.500 (47.677) Prec@5 74.375 (78.289) Epoch: [53][150/11272] Time 0.858 (0.832) Data 0.002 (0.020) Loss 1.8805 (2.0146) Prec@1 51.250 (47.773) Prec@5 78.750 (78.344) Epoch: [53][160/11272] Time 0.737 (0.830) Data 0.001 (0.019) Loss 2.1521 (2.0139) Prec@1 41.250 (47.799) Prec@5 77.500 (78.412) Epoch: [53][170/11272] Time 0.785 (0.828) Data 0.001 (0.018) Loss 2.3060 (2.0160) Prec@1 41.250 (47.752) Prec@5 79.375 (78.454) Epoch: [53][180/11272] Time 0.833 (0.828) Data 0.001 (0.017) Loss 2.1479 (2.0119) Prec@1 41.250 (47.780) Prec@5 76.250 (78.539) Epoch: [53][190/11272] Time 0.885 (0.826) Data 0.002 (0.016) Loss 2.1606 (2.0118) Prec@1 47.500 (47.781) Prec@5 77.500 (78.563) Epoch: [53][200/11272] Time 0.755 (0.824) Data 0.002 (0.015) Loss 1.9326 (2.0095) Prec@1 51.250 (47.795) Prec@5 79.375 (78.598) Epoch: [53][210/11272] Time 0.739 (0.823) Data 0.001 (0.015) Loss 2.1552 (2.0095) Prec@1 45.625 (47.838) Prec@5 75.625 (78.608) Epoch: [53][220/11272] Time 0.832 (0.823) Data 0.001 (0.014) Loss 2.3500 (2.0088) Prec@1 40.000 (47.851) Prec@5 75.625 (78.648) Epoch: [53][230/11272] Time 0.841 (0.822) Data 0.002 (0.014) Loss 2.0875 (2.0054) Prec@1 48.125 (47.952) Prec@5 76.875 (78.677) Epoch: [53][240/11272] Time 0.729 (0.821) Data 0.001 (0.013) Loss 2.0212 (2.0023) Prec@1 48.750 (48.058) Prec@5 78.125 (78.773) Epoch: [53][250/11272] Time 0.872 (0.821) Data 0.002 (0.013) Loss 1.9189 (2.0036) Prec@1 50.000 (48.055) Prec@5 83.750 (78.725) Epoch: [53][260/11272] Time 0.823 (0.820) Data 0.001 (0.012) Loss 1.8943 (2.0037) Prec@1 52.500 (48.080) Prec@5 80.625 (78.745) Epoch: [53][270/11272] Time 0.789 (0.819) Data 0.001 (0.012) Loss 2.1289 (2.0062) Prec@1 51.250 (48.026) Prec@5 75.000 (78.692) Epoch: [53][280/11272] Time 0.773 (0.818) Data 0.002 (0.011) Loss 1.8964 (2.0056) Prec@1 50.625 (48.045) Prec@5 76.875 (78.677) Epoch: [53][290/11272] Time 0.838 (0.818) Data 0.001 (0.011) Loss 2.0511 (2.0041) Prec@1 48.125 (48.110) Prec@5 75.625 (78.703) Epoch: [53][300/11272] Time 0.868 (0.817) Data 0.002 (0.011) Loss 2.0295 (2.0051) Prec@1 46.250 (48.079) Prec@5 76.875 (78.648) Epoch: [53][310/11272] Time 0.737 (0.817) Data 0.002 (0.010) Loss 2.0103 (2.0041) Prec@1 48.750 (48.103) Prec@5 74.375 (78.623) Epoch: [53][320/11272] Time 0.784 (0.817) Data 0.002 (0.010) Loss 1.8486 (2.0019) Prec@1 48.125 (48.191) Prec@5 80.625 (78.674) Epoch: [53][330/11272] Time 0.864 (0.817) Data 0.002 (0.010) Loss 2.0126 (2.0015) Prec@1 48.125 (48.221) Prec@5 79.375 (78.682) Epoch: [53][340/11272] Time 0.822 (0.816) Data 0.001 (0.010) Loss 1.8003 (2.0008) Prec@1 52.500 (48.211) Prec@5 81.250 (78.695) Epoch: [53][350/11272] Time 0.742 (0.816) Data 0.001 (0.009) Loss 1.9307 (2.0002) Prec@1 50.000 (48.223) Prec@5 78.750 (78.689) Epoch: [53][360/11272] Time 0.727 (0.815) Data 0.001 (0.009) Loss 1.9717 (1.9993) Prec@1 48.125 (48.250) Prec@5 81.250 (78.693) Epoch: [53][370/11272] Time 0.889 (0.815) Data 0.002 (0.009) Loss 1.9101 (1.9984) Prec@1 48.125 (48.277) Prec@5 81.250 (78.711) Epoch: [53][380/11272] Time 0.765 (0.815) Data 0.003 (0.009) Loss 2.3343 (1.9978) Prec@1 41.875 (48.261) Prec@5 75.625 (78.757) Epoch: [53][390/11272] Time 0.752 (0.815) Data 0.001 (0.009) Loss 2.3642 (1.9975) Prec@1 40.625 (48.270) Prec@5 70.625 (78.747) Epoch: [53][400/11272] Time 0.839 (0.815) Data 0.001 (0.008) Loss 1.9919 (1.9970) Prec@1 50.000 (48.284) Prec@5 80.000 (78.750) Epoch: [53][410/11272] Time 0.871 (0.814) Data 0.002 (0.008) Loss 2.1348 (1.9978) Prec@1 43.125 (48.274) Prec@5 81.250 (78.732) Epoch: [53][420/11272] Time 0.761 (0.814) Data 0.002 (0.008) Loss 1.9774 (1.9982) Prec@1 47.500 (48.279) Prec@5 78.125 (78.697) Epoch: [53][430/11272] Time 0.782 (0.814) Data 0.001 (0.008) Loss 1.7566 (1.9986) Prec@1 56.250 (48.270) Prec@5 80.625 (78.711) Epoch: [53][440/11272] Time 0.853 (0.814) Data 0.002 (0.008) Loss 2.0135 (1.9982) Prec@1 44.375 (48.289) Prec@5 85.625 (78.739) Epoch: [53][450/11272] Time 0.865 (0.814) Data 0.002 (0.008) Loss 2.1287 (1.9981) Prec@1 43.750 (48.255) Prec@5 76.875 (78.738) Epoch: [53][460/11272] Time 0.753 (0.814) Data 0.002 (0.008) Loss 1.9918 (1.9974) Prec@1 53.750 (48.286) Prec@5 78.125 (78.755) Epoch: [53][470/11272] Time 0.742 (0.814) Data 0.001 (0.007) Loss 2.2125 (1.9994) Prec@1 41.250 (48.252) Prec@5 73.125 (78.696) Epoch: [53][480/11272] Time 0.846 (0.813) Data 0.002 (0.007) Loss 1.8939 (1.9984) Prec@1 50.625 (48.260) Prec@5 80.625 (78.705) Epoch: [53][490/11272] Time 0.861 (0.813) Data 0.002 (0.007) Loss 1.5210 (1.9964) Prec@1 57.500 (48.292) Prec@5 85.625 (78.772) Epoch: [53][500/11272] Time 0.739 (0.813) Data 0.002 (0.007) Loss 1.9849 (1.9950) Prec@1 47.500 (48.330) Prec@5 77.500 (78.792) Epoch: [53][510/11272] Time 0.861 (0.813) Data 0.001 (0.007) Loss 2.0666 (1.9953) Prec@1 51.250 (48.357) Prec@5 75.000 (78.790) Epoch: [53][520/11272] Time 0.831 (0.813) Data 0.001 (0.007) Loss 2.2793 (1.9967) Prec@1 43.750 (48.319) Prec@5 73.750 (78.757) Epoch: [53][530/11272] Time 0.743 (0.813) Data 0.001 (0.007) Loss 1.8935 (1.9970) Prec@1 48.125 (48.289) Prec@5 80.625 (78.759) Epoch: [53][540/11272] Time 0.740 (0.813) Data 0.002 (0.007) Loss 2.0303 (1.9975) Prec@1 45.000 (48.250) Prec@5 81.250 (78.771) Epoch: [53][550/11272] Time 0.856 (0.812) Data 0.002 (0.007) Loss 2.4100 (1.9991) Prec@1 38.125 (48.217) Prec@5 71.875 (78.743) Epoch: [53][560/11272] Time 0.820 (0.812) Data 0.001 (0.007) Loss 1.8740 (1.9986) Prec@1 53.125 (48.266) Prec@5 80.625 (78.759) Epoch: [53][570/11272] Time 0.747 (0.812) Data 0.002 (0.006) Loss 2.0660 (1.9983) Prec@1 46.875 (48.285) Prec@5 75.625 (78.745) Epoch: [53][580/11272] Time 0.729 (0.812) Data 0.001 (0.006) Loss 1.9680 (1.9982) Prec@1 50.000 (48.275) Prec@5 78.750 (78.754) Epoch: [53][590/11272] Time 0.843 (0.812) Data 0.002 (0.006) Loss 1.8947 (1.9979) Prec@1 50.625 (48.290) Prec@5 80.000 (78.758) Epoch: [53][600/11272] Time 0.847 (0.812) Data 0.001 (0.006) Loss 2.4169 (1.9997) Prec@1 38.125 (48.265) Prec@5 71.875 (78.709) Epoch: [53][610/11272] Time 0.782 (0.812) Data 0.001 (0.006) Loss 1.8793 (1.9990) Prec@1 51.875 (48.271) Prec@5 80.000 (78.705) Epoch: [53][620/11272] Time 0.735 (0.812) Data 0.001 (0.006) Loss 2.2315 (2.0000) Prec@1 37.500 (48.240) Prec@5 76.875 (78.674) Epoch: [53][630/11272] Time 0.859 (0.812) Data 0.002 (0.006) Loss 1.9989 (2.0009) Prec@1 51.250 (48.217) Prec@5 78.125 (78.654) Epoch: [53][640/11272] Time 0.728 (0.811) Data 0.003 (0.006) Loss 2.3277 (2.0008) Prec@1 43.125 (48.227) Prec@5 71.875 (78.651) Epoch: [53][650/11272] Time 0.746 (0.811) Data 0.002 (0.006) Loss 1.9888 (2.0019) Prec@1 51.250 (48.204) Prec@5 81.250 (78.641) Epoch: [53][660/11272] Time 0.933 (0.811) Data 0.002 (0.006) Loss 2.1612 (2.0013) Prec@1 45.625 (48.215) Prec@5 75.625 (78.655) Epoch: [53][670/11272] Time 0.835 (0.811) Data 0.001 (0.006) Loss 2.1740 (2.0013) Prec@1 49.375 (48.232) Prec@5 72.500 (78.648) Epoch: [53][680/11272] Time 0.763 (0.811) Data 0.002 (0.006) Loss 2.0295 (2.0024) Prec@1 46.250 (48.191) Prec@5 78.750 (78.641) Epoch: [53][690/11272] Time 0.769 (0.811) Data 0.002 (0.006) Loss 2.1183 (2.0021) Prec@1 42.500 (48.187) Prec@5 75.625 (78.635) Epoch: [53][700/11272] Time 0.844 (0.811) Data 0.001 (0.006) Loss 1.9475 (2.0015) Prec@1 43.750 (48.186) Prec@5 81.250 (78.656) Epoch: [53][710/11272] Time 0.850 (0.811) Data 0.002 (0.005) Loss 2.0642 (2.0024) Prec@1 48.750 (48.194) Prec@5 76.250 (78.643) Epoch: [53][720/11272] Time 0.742 (0.810) Data 0.001 (0.005) Loss 2.1446 (2.0028) Prec@1 45.625 (48.183) Prec@5 75.000 (78.636) Epoch: [53][730/11272] Time 0.798 (0.810) Data 0.002 (0.005) Loss 2.0766 (2.0032) Prec@1 48.125 (48.169) Prec@5 76.875 (78.629) Epoch: [53][740/11272] Time 0.886 (0.810) Data 0.001 (0.005) Loss 1.7322 (2.0031) Prec@1 55.000 (48.171) Prec@5 84.375 (78.622) Epoch: [53][750/11272] Time 0.841 (0.810) Data 0.001 (0.005) Loss 2.1233 (2.0032) Prec@1 45.000 (48.160) Prec@5 78.125 (78.628) Epoch: [53][760/11272] Time 0.703 (0.810) Data 0.001 (0.005) Loss 2.1642 (2.0041) Prec@1 41.875 (48.122) Prec@5 77.500 (78.614) Epoch: [53][770/11272] Time 0.892 (0.810) Data 0.002 (0.005) Loss 2.0145 (2.0044) Prec@1 45.625 (48.123) Prec@5 83.750 (78.610) Epoch: [53][780/11272] Time 0.852 (0.810) Data 0.002 (0.005) Loss 1.9802 (2.0044) Prec@1 48.750 (48.123) Prec@5 79.375 (78.608) Epoch: [53][790/11272] Time 0.727 (0.810) Data 0.001 (0.005) Loss 1.9667 (2.0044) Prec@1 48.125 (48.133) Prec@5 81.875 (78.623) Epoch: [53][800/11272] Time 0.726 (0.810) Data 0.001 (0.005) Loss 1.9227 (2.0042) Prec@1 50.000 (48.149) Prec@5 80.000 (78.618) Epoch: [53][810/11272] Time 0.879 (0.810) Data 0.002 (0.005) Loss 1.9566 (2.0043) Prec@1 48.750 (48.151) Prec@5 79.375 (78.617) Epoch: [53][820/11272] Time 0.849 (0.810) Data 0.001 (0.005) Loss 2.0968 (2.0039) Prec@1 45.000 (48.162) Prec@5 73.750 (78.622) Epoch: [53][830/11272] Time 0.726 (0.810) Data 0.002 (0.005) Loss 2.0729 (2.0037) Prec@1 48.750 (48.147) Prec@5 76.875 (78.634) Epoch: [53][840/11272] Time 0.732 (0.810) Data 0.002 (0.005) Loss 1.8659 (2.0033) Prec@1 53.125 (48.146) Prec@5 77.500 (78.636) Epoch: [53][850/11272] Time 0.825 (0.809) Data 0.001 (0.005) Loss 2.2867 (2.0032) Prec@1 45.625 (48.154) Prec@5 73.125 (78.632) Epoch: [53][860/11272] Time 0.822 (0.809) Data 0.001 (0.005) Loss 1.8181 (2.0034) Prec@1 53.750 (48.157) Prec@5 81.250 (78.623) Epoch: [53][870/11272] Time 0.726 (0.809) Data 0.001 (0.005) Loss 1.8914 (2.0031) Prec@1 46.875 (48.157) Prec@5 81.875 (78.630) Epoch: [53][880/11272] Time 0.758 (0.809) Data 0.002 (0.005) Loss 1.8205 (2.0030) Prec@1 49.375 (48.146) Prec@5 83.750 (78.633) Epoch: [53][890/11272] Time 0.870 (0.809) Data 0.002 (0.005) Loss 1.9078 (2.0033) Prec@1 48.750 (48.143) Prec@5 78.750 (78.623) Epoch: [53][900/11272] Time 0.831 (0.809) Data 0.001 (0.005) Loss 2.0824 (2.0044) Prec@1 51.250 (48.134) Prec@5 73.750 (78.590) Epoch: [53][910/11272] Time 0.766 (0.809) Data 0.002 (0.005) Loss 1.8683 (2.0044) Prec@1 50.625 (48.146) Prec@5 81.250 (78.585) Epoch: [53][920/11272] Time 0.870 (0.809) Data 0.002 (0.005) Loss 1.9658 (2.0041) Prec@1 48.125 (48.155) Prec@5 81.250 (78.598) Epoch: [53][930/11272] Time 0.861 (0.809) Data 0.002 (0.005) Loss 2.1168 (2.0039) Prec@1 46.875 (48.156) Prec@5 75.000 (78.604) Epoch: [53][940/11272] Time 0.754 (0.809) Data 0.005 (0.005) Loss 2.0945 (2.0035) Prec@1 47.500 (48.175) Prec@5 76.875 (78.605) Epoch: [53][950/11272] Time 0.743 (0.809) Data 0.001 (0.004) Loss 2.2818 (2.0055) Prec@1 42.500 (48.131) Prec@5 70.000 (78.582) Epoch: [53][960/11272] Time 0.840 (0.809) Data 0.001 (0.004) Loss 2.1418 (2.0053) Prec@1 44.375 (48.131) Prec@5 75.625 (78.583) Epoch: [53][970/11272] Time 0.862 (0.809) Data 0.002 (0.004) Loss 1.9756 (2.0051) Prec@1 50.000 (48.135) Prec@5 82.500 (78.587) Epoch: [53][980/11272] Time 0.714 (0.809) Data 0.001 (0.004) Loss 2.0285 (2.0049) Prec@1 47.500 (48.142) Prec@5 80.000 (78.589) Epoch: [53][990/11272] Time 0.745 (0.809) Data 0.002 (0.004) Loss 2.1610 (2.0051) Prec@1 43.125 (48.133) Prec@5 75.625 (78.592) Epoch: [53][1000/11272] Time 0.802 (0.809) Data 0.001 (0.004) Loss 2.1032 (2.0050) Prec@1 46.875 (48.131) Prec@5 78.125 (78.590) Epoch: [53][1010/11272] Time 0.842 (0.809) Data 0.001 (0.004) Loss 2.0386 (2.0054) Prec@1 48.125 (48.112) Prec@5 76.875 (78.582) Epoch: [53][1020/11272] Time 0.757 (0.809) Data 0.002 (0.004) Loss 2.2944 (2.0056) Prec@1 39.375 (48.100) Prec@5 73.750 (78.583) Epoch: [53][1030/11272] Time 0.744 (0.809) Data 0.001 (0.004) Loss 2.0838 (2.0055) Prec@1 46.250 (48.107) Prec@5 78.125 (78.582) Epoch: [53][1040/11272] Time 0.861 (0.809) Data 0.001 (0.004) Loss 1.9557 (2.0058) Prec@1 50.625 (48.106) Prec@5 78.125 (78.582) Epoch: [53][1050/11272] Time 0.754 (0.809) Data 0.002 (0.004) Loss 2.3913 (2.0066) Prec@1 39.375 (48.089) Prec@5 71.875 (78.558) Epoch: [53][1060/11272] Time 0.742 (0.809) Data 0.001 (0.004) Loss 2.0661 (2.0071) Prec@1 41.875 (48.075) Prec@5 76.250 (78.544) Epoch: [53][1070/11272] Time 0.834 (0.809) Data 0.001 (0.004) Loss 2.1281 (2.0073) Prec@1 45.625 (48.063) Prec@5 76.875 (78.539) Epoch: [53][1080/11272] Time 0.810 (0.809) Data 0.001 (0.004) Loss 2.1790 (2.0072) Prec@1 44.375 (48.064) Prec@5 76.875 (78.541) Epoch: [53][1090/11272] Time 0.756 (0.809) Data 0.002 (0.004) Loss 2.1461 (2.0067) Prec@1 41.250 (48.069) Prec@5 74.375 (78.547) Epoch: [53][1100/11272] Time 0.741 (0.809) Data 0.001 (0.004) Loss 1.9767 (2.0068) Prec@1 48.750 (48.078) Prec@5 77.500 (78.554) Epoch: [53][1110/11272] Time 0.878 (0.809) Data 0.002 (0.004) Loss 1.7089 (2.0063) Prec@1 53.125 (48.086) Prec@5 85.625 (78.559) Epoch: [53][1120/11272] Time 0.865 (0.809) Data 0.001 (0.004) Loss 1.8494 (2.0057) Prec@1 51.250 (48.099) Prec@5 81.250 (78.572) Epoch: [53][1130/11272] Time 0.761 (0.808) Data 0.002 (0.004) Loss 1.9906 (2.0056) Prec@1 50.625 (48.101) Prec@5 76.875 (78.581) Epoch: [53][1140/11272] Time 0.751 (0.808) Data 0.002 (0.004) Loss 1.8312 (2.0057) Prec@1 48.750 (48.105) Prec@5 84.375 (78.570) Epoch: [53][1150/11272] Time 0.895 (0.808) Data 0.002 (0.004) Loss 1.8847 (2.0056) Prec@1 53.125 (48.107) Prec@5 81.875 (78.575) Epoch: [53][1160/11272] Time 0.831 (0.808) Data 0.002 (0.004) Loss 1.8033 (2.0053) Prec@1 52.500 (48.115) Prec@5 80.625 (78.576) Epoch: [53][1170/11272] Time 0.745 (0.808) Data 0.002 (0.004) Loss 2.0489 (2.0047) Prec@1 48.125 (48.121) Prec@5 76.250 (78.582) Epoch: [53][1180/11272] Time 0.860 (0.808) Data 0.002 (0.004) Loss 1.9815 (2.0051) Prec@1 49.375 (48.104) Prec@5 80.625 (78.579) Epoch: [53][1190/11272] Time 0.839 (0.808) Data 0.002 (0.004) Loss 2.1828 (2.0051) Prec@1 44.375 (48.102) Prec@5 72.500 (78.579) Epoch: [53][1200/11272] Time 0.817 (0.808) Data 0.002 (0.004) Loss 1.8637 (2.0049) Prec@1 47.500 (48.114) Prec@5 83.125 (78.581) Epoch: [53][1210/11272] Time 0.757 (0.808) Data 0.002 (0.004) Loss 2.0333 (2.0050) Prec@1 44.375 (48.102) Prec@5 77.500 (78.582) Epoch: [53][1220/11272] Time 0.870 (0.808) Data 0.002 (0.004) Loss 1.9097 (2.0048) Prec@1 50.625 (48.121) Prec@5 80.625 (78.576) Epoch: [53][1230/11272] Time 0.852 (0.808) Data 0.002 (0.004) Loss 1.8420 (2.0048) Prec@1 54.375 (48.121) Prec@5 81.875 (78.578) Epoch: [53][1240/11272] Time 0.765 (0.808) Data 0.001 (0.004) Loss 2.0093 (2.0047) Prec@1 47.500 (48.118) Prec@5 78.750 (78.585) Epoch: [53][1250/11272] Time 0.821 (0.808) Data 0.002 (0.004) Loss 1.8405 (2.0043) Prec@1 50.000 (48.122) Prec@5 83.750 (78.597) Epoch: [53][1260/11272] Time 0.902 (0.808) Data 0.002 (0.004) Loss 1.9862 (2.0042) Prec@1 48.125 (48.121) Prec@5 78.750 (78.603) Epoch: [53][1270/11272] Time 0.891 (0.808) Data 0.002 (0.004) Loss 1.8304 (2.0041) Prec@1 53.125 (48.132) Prec@5 80.625 (78.599) Epoch: [53][1280/11272] Time 0.778 (0.808) Data 0.001 (0.004) Loss 2.2163 (2.0039) Prec@1 48.750 (48.141) Prec@5 73.750 (78.602) Epoch: [53][1290/11272] Time 0.762 (0.808) Data 0.002 (0.004) Loss 2.2403 (2.0044) Prec@1 46.875 (48.133) Prec@5 73.750 (78.599) Epoch: [53][1300/11272] Time 0.864 (0.808) Data 0.001 (0.004) Loss 2.0114 (2.0039) Prec@1 50.625 (48.154) Prec@5 76.250 (78.605) Epoch: [53][1310/11272] Time 0.762 (0.807) Data 0.004 (0.004) Loss 2.0613 (2.0041) Prec@1 50.000 (48.160) Prec@5 78.125 (78.592) Epoch: [53][1320/11272] Time 0.744 (0.807) Data 0.002 (0.004) Loss 2.1833 (2.0040) Prec@1 41.250 (48.161) Prec@5 71.875 (78.596) Epoch: [53][1330/11272] Time 0.875 (0.807) Data 0.002 (0.004) Loss 2.0700 (2.0043) Prec@1 44.375 (48.153) Prec@5 75.625 (78.586) Epoch: [53][1340/11272] Time 0.835 (0.807) Data 0.001 (0.004) Loss 1.9762 (2.0044) Prec@1 50.625 (48.159) Prec@5 80.000 (78.587) Epoch: [53][1350/11272] Time 0.733 (0.807) Data 0.001 (0.004) Loss 1.8251 (2.0040) Prec@1 56.250 (48.171) Prec@5 80.625 (78.593) Epoch: [53][1360/11272] Time 0.729 (0.807) Data 0.001 (0.004) Loss 1.6751 (2.0041) Prec@1 55.625 (48.170) Prec@5 83.125 (78.597) Epoch: [53][1370/11272] Time 0.882 (0.807) Data 0.002 (0.004) Loss 2.1601 (2.0043) Prec@1 43.750 (48.167) Prec@5 78.125 (78.600) Epoch: [53][1380/11272] Time 0.862 (0.808) Data 0.002 (0.004) Loss 1.8911 (2.0049) Prec@1 50.625 (48.144) Prec@5 83.125 (78.595) Epoch: [53][1390/11272] Time 0.707 (0.807) Data 0.002 (0.004) Loss 1.8641 (2.0051) Prec@1 53.125 (48.145) Prec@5 82.500 (78.589) Epoch: [53][1400/11272] Time 0.789 (0.807) Data 0.002 (0.004) Loss 2.2075 (2.0055) Prec@1 43.125 (48.136) Prec@5 75.625 (78.585) Epoch: [53][1410/11272] Time 0.908 (0.807) Data 0.002 (0.004) Loss 1.9294 (2.0058) Prec@1 47.500 (48.131) Prec@5 82.500 (78.585) Epoch: [53][1420/11272] Time 0.878 (0.807) Data 0.002 (0.004) Loss 2.0573 (2.0056) Prec@1 49.375 (48.139) Prec@5 78.125 (78.590) Epoch: [53][1430/11272] Time 0.754 (0.807) Data 0.002 (0.004) Loss 2.1444 (2.0059) Prec@1 46.250 (48.133) Prec@5 77.500 (78.591) Epoch: [53][1440/11272] Time 0.913 (0.808) Data 0.002 (0.004) Loss 2.1258 (2.0058) Prec@1 48.125 (48.134) Prec@5 75.000 (78.589) Epoch: [53][1450/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 2.1013 (2.0067) Prec@1 47.500 (48.125) Prec@5 80.625 (78.573) Epoch: [53][1460/11272] Time 0.745 (0.807) Data 0.001 (0.003) Loss 2.2507 (2.0068) Prec@1 38.750 (48.127) Prec@5 71.250 (78.569) Epoch: [53][1470/11272] Time 0.752 (0.807) Data 0.002 (0.003) Loss 2.1072 (2.0075) Prec@1 47.500 (48.106) Prec@5 78.750 (78.565) Epoch: [53][1480/11272] Time 0.923 (0.808) Data 0.002 (0.003) Loss 1.7461 (2.0072) Prec@1 51.875 (48.122) Prec@5 82.500 (78.570) Epoch: [53][1490/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 2.1059 (2.0073) Prec@1 46.875 (48.125) Prec@5 79.375 (78.567) Epoch: [53][1500/11272] Time 0.740 (0.807) Data 0.002 (0.003) Loss 1.9392 (2.0075) Prec@1 47.500 (48.125) Prec@5 80.000 (78.563) Epoch: [53][1510/11272] Time 0.735 (0.807) Data 0.001 (0.003) Loss 1.9508 (2.0071) Prec@1 46.250 (48.137) Prec@5 82.500 (78.572) Epoch: [53][1520/11272] Time 0.862 (0.807) Data 0.002 (0.003) Loss 2.0904 (2.0075) Prec@1 46.875 (48.137) Prec@5 76.875 (78.560) Epoch: [53][1530/11272] Time 0.847 (0.807) Data 0.001 (0.003) Loss 2.0609 (2.0076) Prec@1 50.625 (48.124) Prec@5 78.750 (78.556) Epoch: [53][1540/11272] Time 0.727 (0.807) Data 0.001 (0.003) Loss 2.1771 (2.0076) Prec@1 40.000 (48.119) Prec@5 77.500 (78.559) Epoch: [53][1550/11272] Time 0.733 (0.807) Data 0.002 (0.003) Loss 2.2005 (2.0078) Prec@1 45.625 (48.109) Prec@5 69.375 (78.552) Epoch: [53][1560/11272] Time 0.877 (0.807) Data 0.002 (0.003) Loss 1.9078 (2.0081) Prec@1 48.750 (48.105) Prec@5 83.125 (78.552) Epoch: [53][1570/11272] Time 0.718 (0.807) Data 0.003 (0.003) Loss 2.0764 (2.0083) Prec@1 51.250 (48.108) Prec@5 75.000 (78.546) Epoch: [53][1580/11272] Time 0.749 (0.807) Data 0.002 (0.003) Loss 1.7715 (2.0086) Prec@1 48.750 (48.100) Prec@5 82.500 (78.537) Epoch: [53][1590/11272] Time 0.854 (0.807) Data 0.002 (0.003) Loss 2.0797 (2.0089) Prec@1 50.000 (48.093) Prec@5 81.250 (78.539) Epoch: [53][1600/11272] Time 0.893 (0.807) Data 0.001 (0.003) Loss 1.9319 (2.0090) Prec@1 49.375 (48.080) Prec@5 76.875 (78.532) Epoch: [53][1610/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.0545 (2.0093) Prec@1 45.625 (48.065) Prec@5 75.625 (78.526) Epoch: [53][1620/11272] Time 0.750 (0.807) Data 0.002 (0.003) Loss 2.0190 (2.0093) Prec@1 48.125 (48.067) Prec@5 79.375 (78.523) Epoch: [53][1630/11272] Time 0.854 (0.807) Data 0.002 (0.003) Loss 1.9868 (2.0095) Prec@1 50.625 (48.064) Prec@5 76.875 (78.513) Epoch: [53][1640/11272] Time 0.872 (0.807) Data 0.001 (0.003) Loss 2.1801 (2.0093) Prec@1 43.750 (48.074) Prec@5 73.750 (78.514) Epoch: [53][1650/11272] Time 0.748 (0.807) Data 0.001 (0.003) Loss 2.0180 (2.0093) Prec@1 52.500 (48.075) Prec@5 76.875 (78.515) Epoch: [53][1660/11272] Time 0.748 (0.807) Data 0.002 (0.003) Loss 1.8279 (2.0091) Prec@1 48.750 (48.081) Prec@5 82.500 (78.515) Epoch: [53][1670/11272] Time 0.861 (0.807) Data 0.002 (0.003) Loss 2.0362 (2.0092) Prec@1 45.000 (48.075) Prec@5 74.375 (78.508) Epoch: [53][1680/11272] Time 0.895 (0.807) Data 0.002 (0.003) Loss 2.2467 (2.0094) Prec@1 41.875 (48.066) Prec@5 72.500 (78.504) Epoch: [53][1690/11272] Time 0.720 (0.807) Data 0.001 (0.003) Loss 1.9562 (2.0095) Prec@1 50.000 (48.068) Prec@5 80.625 (78.503) Epoch: [53][1700/11272] Time 0.853 (0.807) Data 0.001 (0.003) Loss 2.2514 (2.0094) Prec@1 45.000 (48.070) Prec@5 70.000 (78.498) Epoch: [53][1710/11272] Time 0.834 (0.807) Data 0.001 (0.003) Loss 2.0616 (2.0098) Prec@1 46.875 (48.065) Prec@5 78.125 (78.486) Epoch: [53][1720/11272] Time 0.756 (0.807) Data 0.002 (0.003) Loss 1.7723 (2.0097) Prec@1 52.500 (48.069) Prec@5 80.625 (78.481) Epoch: [53][1730/11272] Time 0.748 (0.807) Data 0.002 (0.003) Loss 2.1604 (2.0098) Prec@1 47.500 (48.080) Prec@5 77.500 (78.478) Epoch: [53][1740/11272] Time 0.886 (0.807) Data 0.002 (0.003) Loss 1.9277 (2.0099) Prec@1 48.750 (48.079) Prec@5 78.125 (78.475) Epoch: [53][1750/11272] Time 0.821 (0.807) Data 0.001 (0.003) Loss 2.0567 (2.0099) Prec@1 50.625 (48.080) Prec@5 76.250 (78.473) Epoch: [53][1760/11272] Time 0.764 (0.807) Data 0.002 (0.003) Loss 2.0559 (2.0100) Prec@1 48.750 (48.077) Prec@5 76.250 (78.465) Epoch: [53][1770/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 2.1260 (2.0101) Prec@1 48.750 (48.071) Prec@5 77.500 (78.464) Epoch: [53][1780/11272] Time 0.832 (0.807) Data 0.001 (0.003) Loss 1.6957 (2.0104) Prec@1 56.875 (48.065) Prec@5 86.250 (78.466) Epoch: [53][1790/11272] Time 0.869 (0.807) Data 0.002 (0.003) Loss 2.1756 (2.0104) Prec@1 40.625 (48.063) Prec@5 78.125 (78.465) Epoch: [53][1800/11272] Time 0.733 (0.807) Data 0.002 (0.003) Loss 2.2631 (2.0106) Prec@1 41.875 (48.056) Prec@5 76.875 (78.466) Epoch: [53][1810/11272] Time 0.738 (0.807) Data 0.001 (0.003) Loss 1.8432 (2.0106) Prec@1 48.750 (48.055) Prec@5 83.125 (78.466) Epoch: [53][1820/11272] Time 0.861 (0.807) Data 0.002 (0.003) Loss 2.0898 (2.0105) Prec@1 46.250 (48.058) Prec@5 75.625 (78.468) Epoch: [53][1830/11272] Time 0.824 (0.807) Data 0.001 (0.003) Loss 1.6041 (2.0100) Prec@1 56.875 (48.066) Prec@5 86.250 (78.482) Epoch: [53][1840/11272] Time 0.769 (0.807) Data 0.001 (0.003) Loss 1.9342 (2.0098) Prec@1 52.500 (48.080) Prec@5 80.625 (78.479) Epoch: [53][1850/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.1251 (2.0100) Prec@1 43.125 (48.073) Prec@5 79.375 (78.472) Epoch: [53][1860/11272] Time 0.916 (0.807) Data 0.002 (0.003) Loss 1.9870 (2.0100) Prec@1 48.750 (48.077) Prec@5 76.875 (78.471) Epoch: [53][1870/11272] Time 0.744 (0.807) Data 0.001 (0.003) Loss 1.9584 (2.0095) Prec@1 51.250 (48.086) Prec@5 75.000 (78.482) Epoch: [53][1880/11272] Time 0.748 (0.807) Data 0.002 (0.003) Loss 1.9854 (2.0096) Prec@1 46.875 (48.084) Prec@5 78.125 (78.480) Epoch: [53][1890/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 2.1159 (2.0096) Prec@1 45.625 (48.079) Prec@5 78.750 (78.482) Epoch: [53][1900/11272] Time 0.843 (0.807) Data 0.001 (0.003) Loss 1.8329 (2.0097) Prec@1 52.500 (48.082) Prec@5 77.500 (78.483) Epoch: [53][1910/11272] Time 0.725 (0.807) Data 0.001 (0.003) Loss 2.0010 (2.0099) Prec@1 48.750 (48.075) Prec@5 76.250 (78.481) Epoch: [53][1920/11272] Time 0.784 (0.807) Data 0.002 (0.003) Loss 1.8834 (2.0098) Prec@1 48.125 (48.077) Prec@5 81.250 (78.482) Epoch: [53][1930/11272] Time 0.886 (0.807) Data 0.002 (0.003) Loss 2.0035 (2.0095) Prec@1 48.750 (48.086) Prec@5 80.000 (78.479) Epoch: [53][1940/11272] Time 0.869 (0.807) Data 0.001 (0.003) Loss 2.0341 (2.0094) Prec@1 50.625 (48.099) Prec@5 79.375 (78.479) Epoch: [53][1950/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.0601 (2.0094) Prec@1 44.375 (48.101) Prec@5 79.375 (78.474) Epoch: [53][1960/11272] Time 0.809 (0.807) Data 0.002 (0.003) Loss 2.2654 (2.0094) Prec@1 35.625 (48.102) Prec@5 68.750 (78.474) Epoch: [53][1970/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 2.1729 (2.0097) Prec@1 41.250 (48.093) Prec@5 75.625 (78.464) Epoch: [53][1980/11272] Time 0.718 (0.807) Data 0.001 (0.003) Loss 1.9520 (2.0100) Prec@1 48.125 (48.083) Prec@5 80.000 (78.463) Epoch: [53][1990/11272] Time 0.799 (0.807) Data 0.002 (0.003) Loss 1.9832 (2.0103) Prec@1 49.375 (48.082) Prec@5 79.375 (78.456) Epoch: [53][2000/11272] Time 0.850 (0.807) Data 0.002 (0.003) Loss 2.0596 (2.0104) Prec@1 45.000 (48.080) Prec@5 76.250 (78.456) Epoch: [53][2010/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 1.9977 (2.0102) Prec@1 51.250 (48.086) Prec@5 78.125 (78.461) Epoch: [53][2020/11272] Time 0.745 (0.807) Data 0.001 (0.003) Loss 1.9638 (2.0102) Prec@1 49.375 (48.081) Prec@5 76.875 (78.464) Epoch: [53][2030/11272] Time 0.755 (0.807) Data 0.002 (0.003) Loss 1.8455 (2.0100) Prec@1 50.625 (48.081) Prec@5 83.125 (78.468) Epoch: [53][2040/11272] Time 0.879 (0.807) Data 0.002 (0.003) Loss 2.1042 (2.0100) Prec@1 48.125 (48.091) Prec@5 76.875 (78.468) Epoch: [53][2050/11272] Time 0.878 (0.807) Data 0.001 (0.003) Loss 2.1971 (2.0098) Prec@1 41.875 (48.099) Prec@5 75.625 (78.472) Epoch: [53][2060/11272] Time 0.736 (0.807) Data 0.002 (0.003) Loss 2.1174 (2.0097) Prec@1 46.250 (48.098) Prec@5 78.125 (78.470) Epoch: [53][2070/11272] Time 0.724 (0.807) Data 0.001 (0.003) Loss 2.1630 (2.0100) Prec@1 48.750 (48.102) Prec@5 75.625 (78.464) Epoch: [53][2080/11272] Time 0.848 (0.807) Data 0.002 (0.003) Loss 1.9780 (2.0099) Prec@1 47.500 (48.097) Prec@5 80.625 (78.470) Epoch: [53][2090/11272] Time 0.892 (0.807) Data 0.002 (0.003) Loss 1.9676 (2.0096) Prec@1 48.125 (48.100) Prec@5 80.625 (78.479) Epoch: [53][2100/11272] Time 0.771 (0.807) Data 0.002 (0.003) Loss 2.2791 (2.0101) Prec@1 42.500 (48.086) Prec@5 71.250 (78.470) Epoch: [53][2110/11272] Time 0.821 (0.807) Data 0.002 (0.003) Loss 2.0710 (2.0102) Prec@1 43.125 (48.090) Prec@5 80.000 (78.474) Epoch: [53][2120/11272] Time 0.897 (0.807) Data 0.002 (0.003) Loss 2.0652 (2.0100) Prec@1 46.875 (48.086) Prec@5 73.750 (78.477) Epoch: [53][2130/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.0353 (2.0104) Prec@1 44.375 (48.071) Prec@5 78.125 (78.472) Epoch: [53][2140/11272] Time 0.775 (0.807) Data 0.002 (0.003) Loss 2.1421 (2.0107) Prec@1 45.000 (48.062) Prec@5 75.625 (78.465) Epoch: [53][2150/11272] Time 0.824 (0.807) Data 0.001 (0.003) Loss 1.9280 (2.0108) Prec@1 48.125 (48.060) Prec@5 81.875 (78.462) Epoch: [53][2160/11272] Time 0.944 (0.807) Data 0.002 (0.003) Loss 1.6117 (2.0104) Prec@1 53.125 (48.064) Prec@5 87.500 (78.468) Epoch: [53][2170/11272] Time 0.752 (0.807) Data 0.001 (0.003) Loss 2.0069 (2.0105) Prec@1 44.375 (48.065) Prec@5 77.500 (78.465) Epoch: [53][2180/11272] Time 0.724 (0.807) Data 0.002 (0.003) Loss 2.0485 (2.0106) Prec@1 43.125 (48.053) Prec@5 76.875 (78.465) Epoch: [53][2190/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.1208 (2.0107) Prec@1 44.375 (48.047) Prec@5 77.500 (78.460) Epoch: [53][2200/11272] Time 0.880 (0.807) Data 0.002 (0.003) Loss 1.9166 (2.0108) Prec@1 47.500 (48.045) Prec@5 80.000 (78.454) Epoch: [53][2210/11272] Time 0.756 (0.807) Data 0.002 (0.003) Loss 2.1066 (2.0108) Prec@1 45.000 (48.046) Prec@5 77.500 (78.455) Epoch: [53][2220/11272] Time 0.716 (0.807) Data 0.002 (0.003) Loss 2.1097 (2.0108) Prec@1 45.000 (48.041) Prec@5 76.875 (78.459) Epoch: [53][2230/11272] Time 0.875 (0.807) Data 0.001 (0.003) Loss 2.0340 (2.0109) Prec@1 50.625 (48.038) Prec@5 76.250 (78.458) Epoch: [53][2240/11272] Time 0.745 (0.807) Data 0.003 (0.003) Loss 2.3612 (2.0112) Prec@1 38.125 (48.034) Prec@5 70.625 (78.455) Epoch: [53][2250/11272] Time 0.727 (0.807) Data 0.002 (0.003) Loss 2.1607 (2.0115) Prec@1 46.250 (48.033) Prec@5 76.875 (78.456) Epoch: [53][2260/11272] Time 0.838 (0.807) Data 0.001 (0.003) Loss 1.8394 (2.0115) Prec@1 51.875 (48.026) Prec@5 81.250 (78.456) Epoch: [53][2270/11272] Time 0.839 (0.807) Data 0.001 (0.003) Loss 2.1768 (2.0116) Prec@1 41.250 (48.023) Prec@5 72.500 (78.452) Epoch: [53][2280/11272] Time 0.763 (0.807) Data 0.002 (0.003) Loss 2.0795 (2.0117) Prec@1 43.750 (48.013) Prec@5 76.250 (78.445) Epoch: [53][2290/11272] Time 0.731 (0.807) Data 0.002 (0.003) Loss 1.8916 (2.0115) Prec@1 51.250 (48.020) Prec@5 82.500 (78.449) Epoch: [53][2300/11272] Time 0.883 (0.807) Data 0.002 (0.003) Loss 2.0265 (2.0114) Prec@1 44.375 (48.017) Prec@5 76.250 (78.452) Epoch: [53][2310/11272] Time 0.856 (0.807) Data 0.001 (0.003) Loss 1.8812 (2.0117) Prec@1 47.500 (48.016) Prec@5 81.875 (78.450) Epoch: [53][2320/11272] Time 0.760 (0.807) Data 0.002 (0.003) Loss 1.9675 (2.0117) Prec@1 51.250 (48.013) Prec@5 78.125 (78.449) Epoch: [53][2330/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 2.1300 (2.0121) Prec@1 45.625 (48.011) Prec@5 76.250 (78.442) Epoch: [53][2340/11272] Time 0.878 (0.807) Data 0.001 (0.003) Loss 2.1397 (2.0118) Prec@1 41.250 (48.008) Prec@5 76.875 (78.448) Epoch: [53][2350/11272] Time 0.901 (0.807) Data 0.002 (0.003) Loss 2.2500 (2.0119) Prec@1 38.125 (48.000) Prec@5 76.250 (78.446) Epoch: [53][2360/11272] Time 0.728 (0.807) Data 0.001 (0.003) Loss 1.8739 (2.0120) Prec@1 52.500 (48.000) Prec@5 78.125 (78.440) Epoch: [53][2370/11272] Time 0.797 (0.807) Data 0.001 (0.003) Loss 1.7206 (2.0119) Prec@1 51.250 (47.999) Prec@5 82.500 (78.446) Epoch: [53][2380/11272] Time 0.854 (0.807) Data 0.001 (0.003) Loss 1.9507 (2.0116) Prec@1 44.375 (48.006) Prec@5 81.250 (78.449) Epoch: [53][2390/11272] Time 0.746 (0.807) Data 0.002 (0.003) Loss 2.1502 (2.0115) Prec@1 46.875 (48.008) Prec@5 73.125 (78.448) Epoch: [53][2400/11272] Time 0.745 (0.807) Data 0.001 (0.003) Loss 1.9916 (2.0115) Prec@1 49.375 (48.009) Prec@5 80.000 (78.450) Epoch: [53][2410/11272] Time 0.873 (0.807) Data 0.002 (0.003) Loss 2.2287 (2.0114) Prec@1 45.000 (48.011) Prec@5 74.375 (78.456) Epoch: [53][2420/11272] Time 0.866 (0.807) Data 0.001 (0.003) Loss 1.8916 (2.0111) Prec@1 47.500 (48.012) Prec@5 76.875 (78.463) Epoch: [53][2430/11272] Time 0.756 (0.807) Data 0.002 (0.003) Loss 1.9938 (2.0111) Prec@1 52.500 (48.013) Prec@5 77.500 (78.462) Epoch: [53][2440/11272] Time 0.789 (0.807) Data 0.002 (0.003) Loss 1.8598 (2.0111) Prec@1 52.500 (48.010) Prec@5 80.625 (78.465) Epoch: [53][2450/11272] Time 0.842 (0.807) Data 0.001 (0.003) Loss 1.9286 (2.0113) Prec@1 50.000 (48.008) Prec@5 79.375 (78.462) Epoch: [53][2460/11272] Time 0.827 (0.807) Data 0.002 (0.003) Loss 2.1288 (2.0117) Prec@1 43.750 (47.996) Prec@5 73.125 (78.451) Epoch: [53][2470/11272] Time 0.763 (0.807) Data 0.001 (0.003) Loss 2.1625 (2.0116) Prec@1 46.875 (47.999) Prec@5 74.375 (78.452) Epoch: [53][2480/11272] Time 0.765 (0.807) Data 0.002 (0.003) Loss 2.0379 (2.0116) Prec@1 45.000 (48.002) Prec@5 76.250 (78.451) Epoch: [53][2490/11272] Time 0.901 (0.807) Data 0.002 (0.003) Loss 1.8633 (2.0115) Prec@1 56.250 (48.010) Prec@5 79.375 (78.451) Epoch: [53][2500/11272] Time 0.745 (0.807) Data 0.003 (0.003) Loss 2.0288 (2.0116) Prec@1 46.250 (48.007) Prec@5 77.500 (78.451) Epoch: [53][2510/11272] Time 0.800 (0.807) Data 0.002 (0.003) Loss 2.1296 (2.0118) Prec@1 43.750 (47.998) Prec@5 73.750 (78.445) Epoch: [53][2520/11272] Time 0.858 (0.807) Data 0.002 (0.003) Loss 2.0080 (2.0119) Prec@1 50.625 (47.991) Prec@5 78.750 (78.446) Epoch: [53][2530/11272] Time 0.874 (0.807) Data 0.003 (0.003) Loss 1.8353 (2.0119) Prec@1 51.250 (47.992) Prec@5 81.875 (78.448) Epoch: [53][2540/11272] Time 0.735 (0.807) Data 0.001 (0.003) Loss 1.9325 (2.0120) Prec@1 47.500 (47.988) Prec@5 81.875 (78.445) Epoch: [53][2550/11272] Time 0.738 (0.807) Data 0.002 (0.003) Loss 2.1014 (2.0120) Prec@1 48.125 (47.993) Prec@5 74.375 (78.446) Epoch: [53][2560/11272] Time 0.845 (0.807) Data 0.001 (0.003) Loss 1.7917 (2.0121) Prec@1 56.250 (47.993) Prec@5 80.625 (78.440) Epoch: [53][2570/11272] Time 0.810 (0.807) Data 0.001 (0.003) Loss 2.1759 (2.0124) Prec@1 45.625 (47.989) Prec@5 73.750 (78.437) Epoch: [53][2580/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 1.9487 (2.0125) Prec@1 48.750 (47.982) Prec@5 75.000 (78.427) Epoch: [53][2590/11272] Time 0.820 (0.807) Data 0.002 (0.003) Loss 2.1987 (2.0126) Prec@1 46.875 (47.979) Prec@5 78.125 (78.423) Epoch: [53][2600/11272] Time 0.874 (0.807) Data 0.001 (0.003) Loss 1.9316 (2.0126) Prec@1 50.625 (47.977) Prec@5 80.000 (78.424) Epoch: [53][2610/11272] Time 0.841 (0.807) Data 0.002 (0.003) Loss 1.8913 (2.0125) Prec@1 50.000 (47.979) Prec@5 81.250 (78.429) Epoch: [53][2620/11272] Time 0.829 (0.807) Data 0.002 (0.003) Loss 2.2036 (2.0128) Prec@1 44.375 (47.971) Prec@5 76.250 (78.425) Epoch: [53][2630/11272] Time 0.872 (0.807) Data 0.002 (0.003) Loss 1.8025 (2.0129) Prec@1 51.875 (47.973) Prec@5 82.500 (78.420) Epoch: [53][2640/11272] Time 0.904 (0.807) Data 0.002 (0.003) Loss 2.3575 (2.0131) Prec@1 42.500 (47.965) Prec@5 74.375 (78.416) Epoch: [53][2650/11272] Time 0.719 (0.807) Data 0.001 (0.003) Loss 2.1664 (2.0132) Prec@1 43.750 (47.959) Prec@5 75.000 (78.418) Epoch: [53][2660/11272] Time 0.749 (0.807) Data 0.002 (0.003) Loss 1.9337 (2.0132) Prec@1 48.125 (47.960) Prec@5 78.750 (78.416) Epoch: [53][2670/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 1.8623 (2.0132) Prec@1 51.875 (47.961) Prec@5 80.000 (78.417) Epoch: [53][2680/11272] Time 0.851 (0.807) Data 0.002 (0.003) Loss 1.8470 (2.0131) Prec@1 48.750 (47.962) Prec@5 81.875 (78.415) Epoch: [53][2690/11272] Time 0.750 (0.807) Data 0.002 (0.003) Loss 2.1123 (2.0131) Prec@1 46.875 (47.957) Prec@5 77.500 (78.418) Epoch: [53][2700/11272] Time 0.789 (0.807) Data 0.002 (0.003) Loss 1.8802 (2.0128) Prec@1 51.875 (47.964) Prec@5 79.375 (78.423) Epoch: [53][2710/11272] Time 0.851 (0.807) Data 0.002 (0.003) Loss 1.9143 (2.0129) Prec@1 49.375 (47.965) Prec@5 81.875 (78.428) Epoch: [53][2720/11272] Time 0.893 (0.807) Data 0.002 (0.003) Loss 2.1537 (2.0129) Prec@1 43.750 (47.965) Prec@5 75.000 (78.425) Epoch: [53][2730/11272] Time 0.753 (0.807) Data 0.002 (0.003) Loss 2.0854 (2.0128) Prec@1 50.000 (47.974) Prec@5 76.250 (78.426) Epoch: [53][2740/11272] Time 0.836 (0.807) Data 0.002 (0.003) Loss 2.1901 (2.0128) Prec@1 40.625 (47.974) Prec@5 73.750 (78.423) Epoch: [53][2750/11272] Time 0.812 (0.807) Data 0.001 (0.003) Loss 2.0784 (2.0131) Prec@1 41.875 (47.971) Prec@5 77.500 (78.421) Epoch: [53][2760/11272] Time 0.823 (0.807) Data 0.001 (0.003) Loss 1.9712 (2.0132) Prec@1 52.500 (47.967) Prec@5 78.750 (78.425) Epoch: [53][2770/11272] Time 0.790 (0.807) Data 0.002 (0.003) Loss 2.2231 (2.0132) Prec@1 43.750 (47.966) Prec@5 72.500 (78.426) Epoch: [53][2780/11272] Time 0.853 (0.807) Data 0.001 (0.003) Loss 2.1226 (2.0133) Prec@1 50.625 (47.966) Prec@5 76.250 (78.427) Epoch: [53][2790/11272] Time 0.823 (0.807) Data 0.001 (0.003) Loss 2.0107 (2.0133) Prec@1 45.000 (47.965) Prec@5 78.750 (78.429) Epoch: [53][2800/11272] Time 0.771 (0.807) Data 0.002 (0.003) Loss 1.9304 (2.0134) Prec@1 45.625 (47.964) Prec@5 78.125 (78.424) Epoch: [53][2810/11272] Time 0.731 (0.807) Data 0.001 (0.003) Loss 2.3980 (2.0137) Prec@1 40.000 (47.955) Prec@5 71.875 (78.421) Epoch: [53][2820/11272] Time 0.848 (0.807) Data 0.002 (0.003) Loss 1.9448 (2.0135) Prec@1 45.625 (47.958) Prec@5 80.000 (78.421) Epoch: [53][2830/11272] Time 0.831 (0.807) Data 0.001 (0.003) Loss 2.2527 (2.0136) Prec@1 50.625 (47.958) Prec@5 74.375 (78.419) Epoch: [53][2840/11272] Time 0.753 (0.807) Data 0.001 (0.003) Loss 2.0103 (2.0136) Prec@1 48.750 (47.959) Prec@5 76.875 (78.419) Epoch: [53][2850/11272] Time 0.747 (0.806) Data 0.001 (0.003) Loss 1.8788 (2.0136) Prec@1 51.875 (47.956) Prec@5 80.625 (78.420) Epoch: [53][2860/11272] Time 0.819 (0.806) Data 0.001 (0.003) Loss 2.0784 (2.0137) Prec@1 48.750 (47.961) Prec@5 76.250 (78.420) Epoch: [53][2870/11272] Time 0.890 (0.806) Data 0.001 (0.003) Loss 1.8885 (2.0140) Prec@1 51.250 (47.956) Prec@5 81.250 (78.421) Epoch: [53][2880/11272] Time 0.764 (0.807) Data 0.002 (0.003) Loss 2.0466 (2.0137) Prec@1 41.250 (47.965) Prec@5 81.250 (78.427) Epoch: [53][2890/11272] Time 0.725 (0.806) Data 0.001 (0.003) Loss 1.8467 (2.0134) Prec@1 50.000 (47.972) Prec@5 83.750 (78.432) Epoch: [53][2900/11272] Time 0.867 (0.806) Data 0.002 (0.003) Loss 1.8828 (2.0132) Prec@1 51.875 (47.980) Prec@5 81.250 (78.437) Epoch: [53][2910/11272] Time 0.720 (0.806) Data 0.001 (0.003) Loss 2.3097 (2.0134) Prec@1 39.375 (47.975) Prec@5 74.375 (78.435) Epoch: [53][2920/11272] Time 0.719 (0.806) Data 0.001 (0.003) Loss 1.8745 (2.0133) Prec@1 51.875 (47.975) Prec@5 81.875 (78.438) Epoch: [53][2930/11272] Time 0.835 (0.806) Data 0.001 (0.003) Loss 1.9581 (2.0136) Prec@1 52.500 (47.973) Prec@5 78.750 (78.429) Epoch: [53][2940/11272] Time 0.877 (0.806) Data 0.002 (0.003) Loss 2.1567 (2.0133) Prec@1 42.500 (47.978) Prec@5 76.250 (78.434) Epoch: [53][2950/11272] Time 0.746 (0.806) Data 0.002 (0.003) Loss 2.1636 (2.0136) Prec@1 46.250 (47.968) Prec@5 72.500 (78.428) Epoch: [53][2960/11272] Time 0.729 (0.806) Data 0.001 (0.003) Loss 2.1877 (2.0139) Prec@1 44.375 (47.961) Prec@5 73.125 (78.422) Epoch: [53][2970/11272] Time 0.827 (0.806) Data 0.001 (0.003) Loss 2.1732 (2.0140) Prec@1 45.625 (47.958) Prec@5 75.000 (78.422) Epoch: [53][2980/11272] Time 0.813 (0.806) Data 0.002 (0.003) Loss 1.9107 (2.0138) Prec@1 55.000 (47.967) Prec@5 78.125 (78.423) Epoch: [53][2990/11272] Time 0.728 (0.806) Data 0.001 (0.003) Loss 2.0034 (2.0137) Prec@1 48.125 (47.971) Prec@5 81.875 (78.423) Epoch: [53][3000/11272] Time 0.795 (0.806) Data 0.001 (0.003) Loss 1.9669 (2.0136) Prec@1 46.250 (47.971) Prec@5 80.625 (78.426) Epoch: [53][3010/11272] Time 0.856 (0.806) Data 0.001 (0.003) Loss 2.2730 (2.0139) Prec@1 45.625 (47.961) Prec@5 74.375 (78.427) Epoch: [53][3020/11272] Time 0.822 (0.806) Data 0.001 (0.003) Loss 2.3037 (2.0139) Prec@1 36.250 (47.952) Prec@5 73.750 (78.425) Epoch: [53][3030/11272] Time 0.736 (0.806) Data 0.002 (0.003) Loss 2.0152 (2.0139) Prec@1 48.125 (47.957) Prec@5 76.250 (78.427) Epoch: [53][3040/11272] Time 0.852 (0.806) Data 0.001 (0.003) Loss 1.9959 (2.0140) Prec@1 48.125 (47.955) Prec@5 73.750 (78.421) Epoch: [53][3050/11272] Time 0.884 (0.806) Data 0.003 (0.003) Loss 1.9816 (2.0139) Prec@1 47.500 (47.958) Prec@5 78.125 (78.423) Epoch: [53][3060/11272] Time 0.723 (0.806) Data 0.001 (0.003) Loss 1.8914 (2.0138) Prec@1 50.625 (47.957) Prec@5 79.375 (78.422) Epoch: [53][3070/11272] Time 0.761 (0.806) Data 0.002 (0.002) Loss 1.9653 (2.0137) Prec@1 52.500 (47.959) Prec@5 75.625 (78.420) Epoch: [53][3080/11272] Time 0.889 (0.806) Data 0.002 (0.002) Loss 2.2271 (2.0137) Prec@1 45.000 (47.958) Prec@5 74.375 (78.423) Epoch: [53][3090/11272] Time 0.840 (0.806) Data 0.001 (0.002) Loss 1.9399 (2.0137) Prec@1 49.375 (47.959) Prec@5 80.000 (78.424) Epoch: [53][3100/11272] Time 0.776 (0.806) Data 0.002 (0.002) Loss 1.8987 (2.0137) Prec@1 48.125 (47.955) Prec@5 83.125 (78.428) Epoch: [53][3110/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 1.9962 (2.0136) Prec@1 46.250 (47.957) Prec@5 78.750 (78.430) Epoch: [53][3120/11272] Time 0.923 (0.806) Data 0.002 (0.002) Loss 1.8750 (2.0134) Prec@1 49.375 (47.960) Prec@5 81.250 (78.436) Epoch: [53][3130/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.0269 (2.0135) Prec@1 45.625 (47.958) Prec@5 76.875 (78.432) Epoch: [53][3140/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 2.3235 (2.0136) Prec@1 42.500 (47.956) Prec@5 70.625 (78.427) Epoch: [53][3150/11272] Time 0.778 (0.806) Data 0.001 (0.002) Loss 1.9544 (2.0134) Prec@1 50.000 (47.955) Prec@5 75.000 (78.431) Epoch: [53][3160/11272] Time 0.932 (0.806) Data 0.002 (0.002) Loss 1.7608 (2.0134) Prec@1 52.500 (47.954) Prec@5 84.375 (78.432) Epoch: [53][3170/11272] Time 0.745 (0.806) Data 0.003 (0.002) Loss 1.9504 (2.0133) Prec@1 47.500 (47.953) Prec@5 80.625 (78.437) Epoch: [53][3180/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 1.9838 (2.0136) Prec@1 48.750 (47.949) Prec@5 79.375 (78.431) Epoch: [53][3190/11272] Time 0.843 (0.806) Data 0.001 (0.002) Loss 1.9949 (2.0136) Prec@1 51.250 (47.946) Prec@5 76.250 (78.430) Epoch: [53][3200/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 2.2506 (2.0136) Prec@1 45.000 (47.944) Prec@5 76.250 (78.435) Epoch: [53][3210/11272] Time 0.721 (0.806) Data 0.001 (0.002) Loss 2.2273 (2.0137) Prec@1 41.875 (47.941) Prec@5 78.125 (78.434) Epoch: [53][3220/11272] Time 0.769 (0.806) Data 0.002 (0.002) Loss 2.0888 (2.0139) Prec@1 47.500 (47.936) Prec@5 79.375 (78.433) Epoch: [53][3230/11272] Time 0.884 (0.806) Data 0.002 (0.002) Loss 2.0645 (2.0138) Prec@1 48.125 (47.938) Prec@5 79.375 (78.434) Epoch: [53][3240/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.1352 (2.0137) Prec@1 46.250 (47.940) Prec@5 77.500 (78.434) Epoch: [53][3250/11272] Time 0.755 (0.806) Data 0.001 (0.002) Loss 1.9803 (2.0139) Prec@1 51.875 (47.933) Prec@5 80.625 (78.434) Epoch: [53][3260/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.2302 (2.0140) Prec@1 42.500 (47.929) Prec@5 77.500 (78.433) Epoch: [53][3270/11272] Time 0.833 (0.806) Data 0.001 (0.002) Loss 2.0788 (2.0142) Prec@1 49.375 (47.929) Prec@5 75.625 (78.428) Epoch: [53][3280/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 1.9444 (2.0144) Prec@1 45.000 (47.924) Prec@5 80.625 (78.424) Epoch: [53][3290/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.1160 (2.0144) Prec@1 46.250 (47.927) Prec@5 75.625 (78.424) Epoch: [53][3300/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 2.1565 (2.0143) Prec@1 43.125 (47.930) Prec@5 76.875 (78.422) Epoch: [53][3310/11272] Time 0.825 (0.806) Data 0.001 (0.002) Loss 2.0438 (2.0144) Prec@1 44.375 (47.929) Prec@5 78.750 (78.423) Epoch: [53][3320/11272] Time 0.775 (0.806) Data 0.002 (0.002) Loss 1.9576 (2.0143) Prec@1 50.625 (47.932) Prec@5 78.750 (78.424) Epoch: [53][3330/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.2272 (2.0143) Prec@1 40.000 (47.933) Prec@5 72.500 (78.420) Epoch: [53][3340/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 1.9648 (2.0141) Prec@1 49.375 (47.938) Prec@5 81.875 (78.423) Epoch: [53][3350/11272] Time 0.874 (0.806) Data 0.002 (0.002) Loss 1.9528 (2.0141) Prec@1 46.250 (47.937) Prec@5 78.750 (78.421) Epoch: [53][3360/11272] Time 0.741 (0.806) Data 0.002 (0.002) Loss 2.0728 (2.0142) Prec@1 42.500 (47.932) Prec@5 75.625 (78.421) Epoch: [53][3370/11272] Time 0.726 (0.806) Data 0.001 (0.002) Loss 2.0443 (2.0142) Prec@1 50.000 (47.932) Prec@5 76.250 (78.420) Epoch: [53][3380/11272] Time 0.884 (0.806) Data 0.001 (0.002) Loss 1.9318 (2.0141) Prec@1 50.000 (47.936) Prec@5 80.000 (78.422) Epoch: [53][3390/11272] Time 0.826 (0.806) Data 0.001 (0.002) Loss 2.0014 (2.0139) Prec@1 50.000 (47.945) Prec@5 78.125 (78.427) Epoch: [53][3400/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.1145 (2.0139) Prec@1 48.125 (47.942) Prec@5 76.875 (78.426) Epoch: [53][3410/11272] Time 0.784 (0.806) Data 0.002 (0.002) Loss 1.9853 (2.0138) Prec@1 46.250 (47.945) Prec@5 80.625 (78.430) Epoch: [53][3420/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 2.3458 (2.0140) Prec@1 42.500 (47.942) Prec@5 69.375 (78.423) Epoch: [53][3430/11272] Time 0.757 (0.806) Data 0.003 (0.002) Loss 2.0181 (2.0140) Prec@1 46.250 (47.939) Prec@5 79.375 (78.426) Epoch: [53][3440/11272] Time 0.746 (0.806) Data 0.001 (0.002) Loss 2.0897 (2.0144) Prec@1 51.875 (47.938) Prec@5 76.875 (78.419) Epoch: [53][3450/11272] Time 0.817 (0.806) Data 0.001 (0.002) Loss 1.9133 (2.0145) Prec@1 49.375 (47.935) Prec@5 80.000 (78.417) Epoch: [53][3460/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 1.9661 (2.0144) Prec@1 46.875 (47.937) Prec@5 80.000 (78.419) Epoch: [53][3470/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 1.9849 (2.0145) Prec@1 48.125 (47.936) Prec@5 80.000 (78.418) Epoch: [53][3480/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 1.9532 (2.0145) Prec@1 52.500 (47.937) Prec@5 78.750 (78.414) Epoch: [53][3490/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 2.0140 (2.0145) Prec@1 45.000 (47.938) Prec@5 78.750 (78.416) Epoch: [53][3500/11272] Time 0.921 (0.806) Data 0.002 (0.002) Loss 2.1691 (2.0145) Prec@1 41.875 (47.935) Prec@5 76.250 (78.414) Epoch: [53][3510/11272] Time 0.725 (0.806) Data 0.002 (0.002) Loss 1.9662 (2.0149) Prec@1 48.125 (47.928) Prec@5 78.125 (78.407) Epoch: [53][3520/11272] Time 0.725 (0.806) Data 0.002 (0.002) Loss 2.0423 (2.0150) Prec@1 49.375 (47.924) Prec@5 77.500 (78.407) Epoch: [53][3530/11272] Time 0.839 (0.806) Data 0.002 (0.002) Loss 2.2364 (2.0150) Prec@1 48.125 (47.924) Prec@5 75.625 (78.407) Epoch: [53][3540/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 1.9157 (2.0152) Prec@1 51.250 (47.920) Prec@5 81.875 (78.404) Epoch: [53][3550/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.1098 (2.0152) Prec@1 50.000 (47.922) Prec@5 77.500 (78.406) Epoch: [53][3560/11272] Time 0.858 (0.806) Data 0.001 (0.002) Loss 2.0158 (2.0152) Prec@1 48.750 (47.923) Prec@5 79.375 (78.406) Epoch: [53][3570/11272] Time 0.841 (0.806) Data 0.002 (0.002) Loss 1.5851 (2.0152) Prec@1 61.250 (47.924) Prec@5 85.625 (78.405) Epoch: [53][3580/11272] Time 0.715 (0.806) Data 0.001 (0.002) Loss 2.2284 (2.0152) Prec@1 45.000 (47.924) Prec@5 74.375 (78.404) Epoch: [53][3590/11272] Time 0.737 (0.806) Data 0.002 (0.002) Loss 2.0269 (2.0151) Prec@1 50.625 (47.925) Prec@5 77.500 (78.407) Epoch: [53][3600/11272] Time 0.818 (0.806) Data 0.001 (0.002) Loss 2.1874 (2.0151) Prec@1 41.250 (47.923) Prec@5 73.750 (78.405) Epoch: [53][3610/11272] Time 0.822 (0.806) Data 0.002 (0.002) Loss 2.0775 (2.0150) Prec@1 46.875 (47.921) Prec@5 75.000 (78.405) Epoch: [53][3620/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.0470 (2.0151) Prec@1 46.250 (47.924) Prec@5 77.500 (78.403) Epoch: [53][3630/11272] Time 0.756 (0.806) Data 0.002 (0.002) Loss 1.9215 (2.0150) Prec@1 51.875 (47.927) Prec@5 77.500 (78.402) Epoch: [53][3640/11272] Time 0.876 (0.806) Data 0.002 (0.002) Loss 1.9680 (2.0148) Prec@1 51.875 (47.929) Prec@5 78.125 (78.405) Epoch: [53][3650/11272] Time 0.825 (0.806) Data 0.002 (0.002) Loss 1.9806 (2.0146) Prec@1 45.625 (47.931) Prec@5 78.125 (78.411) Epoch: [53][3660/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 1.9150 (2.0147) Prec@1 48.125 (47.931) Prec@5 81.875 (78.409) Epoch: [53][3670/11272] Time 0.812 (0.806) Data 0.002 (0.002) Loss 2.1547 (2.0150) Prec@1 45.000 (47.925) Prec@5 75.000 (78.403) Epoch: [53][3680/11272] Time 0.866 (0.806) Data 0.001 (0.002) Loss 2.0719 (2.0151) Prec@1 44.375 (47.922) Prec@5 77.500 (78.404) Epoch: [53][3690/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 1.9543 (2.0150) Prec@1 48.125 (47.925) Prec@5 81.250 (78.406) Epoch: [53][3700/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.0380 (2.0150) Prec@1 42.500 (47.923) Prec@5 81.250 (78.407) Epoch: [53][3710/11272] Time 0.893 (0.806) Data 0.002 (0.002) Loss 1.9425 (2.0149) Prec@1 49.375 (47.925) Prec@5 80.625 (78.406) Epoch: [53][3720/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 1.9193 (2.0149) Prec@1 47.500 (47.924) Prec@5 81.250 (78.407) Epoch: [53][3730/11272] Time 0.767 (0.806) Data 0.001 (0.002) Loss 1.9242 (2.0148) Prec@1 51.250 (47.930) Prec@5 78.750 (78.409) Epoch: [53][3740/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 2.2598 (2.0149) Prec@1 44.375 (47.927) Prec@5 76.250 (78.408) Epoch: [53][3750/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 2.0804 (2.0151) Prec@1 46.250 (47.924) Prec@5 79.375 (78.407) Epoch: [53][3760/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 2.0138 (2.0151) Prec@1 49.375 (47.925) Prec@5 75.000 (78.406) Epoch: [53][3770/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 2.0955 (2.0153) Prec@1 48.125 (47.923) Prec@5 76.875 (78.402) Epoch: [53][3780/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 1.7598 (2.0153) Prec@1 53.125 (47.920) Prec@5 82.500 (78.401) Epoch: [53][3790/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.0057 (2.0153) Prec@1 45.625 (47.924) Prec@5 80.000 (78.402) Epoch: [53][3800/11272] Time 0.901 (0.806) Data 0.002 (0.002) Loss 2.0929 (2.0156) Prec@1 40.625 (47.917) Prec@5 75.000 (78.398) Epoch: [53][3810/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 1.7749 (2.0155) Prec@1 55.000 (47.918) Prec@5 83.125 (78.399) Epoch: [53][3820/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 1.8616 (2.0155) Prec@1 53.125 (47.916) Prec@5 82.500 (78.399) Epoch: [53][3830/11272] Time 0.841 (0.806) Data 0.001 (0.002) Loss 2.0145 (2.0155) Prec@1 49.375 (47.918) Prec@5 78.125 (78.397) Epoch: [53][3840/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 1.7813 (2.0155) Prec@1 52.500 (47.918) Prec@5 79.375 (78.397) Epoch: [53][3850/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.1125 (2.0156) Prec@1 44.375 (47.913) Prec@5 76.250 (78.398) Epoch: [53][3860/11272] Time 0.839 (0.806) Data 0.001 (0.002) Loss 2.0230 (2.0157) Prec@1 46.250 (47.911) Prec@5 79.375 (78.394) Epoch: [53][3870/11272] Time 0.823 (0.806) Data 0.001 (0.002) Loss 1.8286 (2.0156) Prec@1 48.750 (47.911) Prec@5 80.625 (78.392) Epoch: [53][3880/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 2.0558 (2.0158) Prec@1 52.500 (47.909) Prec@5 75.000 (78.386) Epoch: [53][3890/11272] Time 0.794 (0.806) Data 0.001 (0.002) Loss 2.1039 (2.0159) Prec@1 46.250 (47.905) Prec@5 79.375 (78.384) Epoch: [53][3900/11272] Time 0.894 (0.806) Data 0.001 (0.002) Loss 1.9361 (2.0160) Prec@1 50.625 (47.902) Prec@5 78.125 (78.382) Epoch: [53][3910/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 1.9682 (2.0158) Prec@1 46.250 (47.903) Prec@5 81.250 (78.386) Epoch: [53][3920/11272] Time 0.747 (0.806) Data 0.001 (0.002) Loss 1.8921 (2.0158) Prec@1 48.750 (47.904) Prec@5 81.875 (78.387) Epoch: [53][3930/11272] Time 0.757 (0.806) Data 0.002 (0.002) Loss 2.0619 (2.0160) Prec@1 48.750 (47.899) Prec@5 78.125 (78.384) Epoch: [53][3940/11272] Time 0.816 (0.806) Data 0.002 (0.002) Loss 1.9085 (2.0162) Prec@1 49.375 (47.895) Prec@5 81.875 (78.382) Epoch: [53][3950/11272] Time 0.923 (0.806) Data 0.002 (0.002) Loss 2.0237 (2.0164) Prec@1 44.375 (47.889) Prec@5 80.000 (78.380) Epoch: [53][3960/11272] Time 0.774 (0.806) Data 0.002 (0.002) Loss 1.9710 (2.0162) Prec@1 53.750 (47.891) Prec@5 78.125 (78.384) Epoch: [53][3970/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 1.9561 (2.0162) Prec@1 50.000 (47.893) Prec@5 81.875 (78.386) Epoch: [53][3980/11272] Time 0.842 (0.806) Data 0.001 (0.002) Loss 1.7302 (2.0160) Prec@1 54.375 (47.903) Prec@5 84.375 (78.388) Epoch: [53][3990/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.2247 (2.0162) Prec@1 45.000 (47.898) Prec@5 73.125 (78.386) Epoch: [53][4000/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.0049 (2.0162) Prec@1 48.125 (47.899) Prec@5 78.125 (78.385) Epoch: [53][4010/11272] Time 0.811 (0.806) Data 0.001 (0.002) Loss 2.2652 (2.0163) Prec@1 40.625 (47.893) Prec@5 73.750 (78.380) Epoch: [53][4020/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.0111 (2.0162) Prec@1 47.500 (47.897) Prec@5 74.375 (78.382) Epoch: [53][4030/11272] Time 0.711 (0.806) Data 0.001 (0.002) Loss 1.9688 (2.0162) Prec@1 50.625 (47.900) Prec@5 78.125 (78.381) Epoch: [53][4040/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 1.9422 (2.0161) Prec@1 48.125 (47.908) Prec@5 80.000 (78.386) Epoch: [53][4050/11272] Time 0.830 (0.806) Data 0.001 (0.002) Loss 2.0740 (2.0160) Prec@1 47.500 (47.911) Prec@5 77.500 (78.388) Epoch: [53][4060/11272] Time 0.826 (0.806) Data 0.001 (0.002) Loss 1.7997 (2.0158) Prec@1 52.500 (47.919) Prec@5 83.125 (78.390) Epoch: [53][4070/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.1668 (2.0159) Prec@1 47.500 (47.922) Prec@5 76.250 (78.388) Epoch: [53][4080/11272] Time 0.727 (0.806) Data 0.001 (0.002) Loss 2.2488 (2.0159) Prec@1 45.000 (47.923) Prec@5 73.750 (78.382) Epoch: [53][4090/11272] Time 0.840 (0.806) Data 0.001 (0.002) Loss 2.1510 (2.0162) Prec@1 41.875 (47.915) Prec@5 74.375 (78.379) Epoch: [53][4100/11272] Time 0.729 (0.806) Data 0.003 (0.002) Loss 1.7392 (2.0160) Prec@1 52.500 (47.918) Prec@5 83.750 (78.382) Epoch: [53][4110/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.0191 (2.0161) Prec@1 45.625 (47.911) Prec@5 79.375 (78.381) Epoch: [53][4120/11272] Time 0.920 (0.806) Data 0.002 (0.002) Loss 1.9990 (2.0164) Prec@1 46.875 (47.906) Prec@5 80.000 (78.374) Epoch: [53][4130/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 2.0972 (2.0164) Prec@1 45.625 (47.904) Prec@5 75.625 (78.374) Epoch: [53][4140/11272] Time 0.808 (0.806) Data 0.001 (0.002) Loss 1.7627 (2.0164) Prec@1 55.625 (47.905) Prec@5 83.750 (78.377) Epoch: [53][4150/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 1.9627 (2.0164) Prec@1 48.125 (47.907) Prec@5 76.250 (78.379) Epoch: [53][4160/11272] Time 0.848 (0.806) Data 0.002 (0.002) Loss 2.0231 (2.0164) Prec@1 48.750 (47.909) Prec@5 76.875 (78.376) Epoch: [53][4170/11272] Time 0.923 (0.806) Data 0.002 (0.002) Loss 2.1169 (2.0165) Prec@1 42.500 (47.907) Prec@5 76.250 (78.380) Epoch: [53][4180/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 1.8999 (2.0164) Prec@1 51.875 (47.910) Prec@5 80.000 (78.381) Epoch: [53][4190/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.0227 (2.0166) Prec@1 48.125 (47.907) Prec@5 76.875 (78.379) Epoch: [53][4200/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 2.0284 (2.0166) Prec@1 44.375 (47.907) Prec@5 78.750 (78.381) Epoch: [53][4210/11272] Time 0.823 (0.806) Data 0.002 (0.002) Loss 1.7345 (2.0167) Prec@1 53.125 (47.904) Prec@5 84.375 (78.378) Epoch: [53][4220/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 1.9874 (2.0167) Prec@1 53.750 (47.906) Prec@5 80.000 (78.376) Epoch: [53][4230/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 2.2564 (2.0169) Prec@1 40.625 (47.902) Prec@5 75.000 (78.373) Epoch: [53][4240/11272] Time 0.875 (0.806) Data 0.002 (0.002) Loss 2.0989 (2.0169) Prec@1 45.000 (47.898) Prec@5 77.500 (78.375) Epoch: [53][4250/11272] Time 0.730 (0.806) Data 0.001 (0.002) Loss 2.1803 (2.0171) Prec@1 42.500 (47.892) Prec@5 77.500 (78.375) Epoch: [53][4260/11272] Time 0.717 (0.806) Data 0.001 (0.002) Loss 2.1197 (2.0170) Prec@1 41.250 (47.894) Prec@5 76.875 (78.375) Epoch: [53][4270/11272] Time 0.880 (0.806) Data 0.002 (0.002) Loss 1.9234 (2.0169) Prec@1 53.125 (47.894) Prec@5 80.000 (78.376) Epoch: [53][4280/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 1.9874 (2.0167) Prec@1 50.000 (47.897) Prec@5 79.375 (78.377) Epoch: [53][4290/11272] Time 0.712 (0.806) Data 0.002 (0.002) Loss 1.8278 (2.0168) Prec@1 53.125 (47.897) Prec@5 79.375 (78.375) Epoch: [53][4300/11272] Time 0.781 (0.806) Data 0.002 (0.002) Loss 1.9547 (2.0166) Prec@1 48.125 (47.903) Prec@5 79.375 (78.377) Epoch: [53][4310/11272] Time 0.902 (0.806) Data 0.002 (0.002) Loss 1.9219 (2.0167) Prec@1 53.125 (47.900) Prec@5 80.000 (78.378) Epoch: [53][4320/11272] Time 0.822 (0.806) Data 0.001 (0.002) Loss 2.0139 (2.0168) Prec@1 50.000 (47.898) Prec@5 76.875 (78.378) Epoch: [53][4330/11272] Time 0.786 (0.806) Data 0.001 (0.002) Loss 1.9544 (2.0165) Prec@1 47.500 (47.901) Prec@5 78.750 (78.380) Epoch: [53][4340/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.0427 (2.0166) Prec@1 48.125 (47.901) Prec@5 78.750 (78.379) Epoch: [53][4350/11272] Time 0.943 (0.806) Data 0.002 (0.002) Loss 1.6981 (2.0168) Prec@1 54.375 (47.896) Prec@5 82.500 (78.375) Epoch: [53][4360/11272] Time 0.734 (0.806) Data 0.003 (0.002) Loss 2.2083 (2.0171) Prec@1 46.250 (47.892) Prec@5 75.000 (78.370) Epoch: [53][4370/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 1.8622 (2.0173) Prec@1 53.750 (47.893) Prec@5 77.500 (78.363) Epoch: [53][4380/11272] Time 0.844 (0.806) Data 0.001 (0.002) Loss 2.0010 (2.0175) Prec@1 45.625 (47.889) Prec@5 81.875 (78.358) Epoch: [53][4390/11272] Time 0.873 (0.806) Data 0.002 (0.002) Loss 1.9137 (2.0176) Prec@1 49.375 (47.889) Prec@5 81.250 (78.357) Epoch: [53][4400/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.3488 (2.0177) Prec@1 41.250 (47.888) Prec@5 73.125 (78.355) Epoch: [53][4410/11272] Time 0.716 (0.806) Data 0.002 (0.002) Loss 2.2391 (2.0178) Prec@1 41.250 (47.886) Prec@5 76.875 (78.355) Epoch: [53][4420/11272] Time 0.855 (0.806) Data 0.001 (0.002) Loss 2.0804 (2.0176) Prec@1 42.500 (47.888) Prec@5 77.500 (78.358) Epoch: [53][4430/11272] Time 0.830 (0.806) Data 0.001 (0.002) Loss 2.0017 (2.0175) Prec@1 50.000 (47.890) Prec@5 81.250 (78.362) Epoch: [53][4440/11272] Time 0.768 (0.806) Data 0.002 (0.002) Loss 2.0651 (2.0174) Prec@1 48.750 (47.892) Prec@5 74.375 (78.364) Epoch: [53][4450/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 2.0484 (2.0174) Prec@1 46.250 (47.892) Prec@5 80.000 (78.362) Epoch: [53][4460/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.4316 (2.0174) Prec@1 45.000 (47.892) Prec@5 71.875 (78.364) Epoch: [53][4470/11272] Time 0.899 (0.806) Data 0.002 (0.002) Loss 2.1327 (2.0176) Prec@1 49.375 (47.891) Prec@5 76.250 (78.358) Epoch: [53][4480/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 1.8088 (2.0176) Prec@1 50.000 (47.888) Prec@5 80.625 (78.359) Epoch: [53][4490/11272] Time 0.877 (0.806) Data 0.002 (0.002) Loss 2.3191 (2.0175) Prec@1 40.000 (47.889) Prec@5 73.125 (78.358) Epoch: [53][4500/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.1373 (2.0175) Prec@1 40.625 (47.890) Prec@5 78.125 (78.358) Epoch: [53][4510/11272] Time 0.710 (0.806) Data 0.001 (0.002) Loss 1.9996 (2.0174) Prec@1 47.500 (47.895) Prec@5 77.500 (78.360) Epoch: [53][4520/11272] Time 0.756 (0.806) Data 0.002 (0.002) Loss 2.2162 (2.0174) Prec@1 41.250 (47.895) Prec@5 75.000 (78.358) Epoch: [53][4530/11272] Time 0.855 (0.806) Data 0.001 (0.002) Loss 2.3035 (2.0176) Prec@1 43.750 (47.894) Prec@5 75.625 (78.358) Epoch: [53][4540/11272] Time 0.829 (0.806) Data 0.002 (0.002) Loss 2.0823 (2.0176) Prec@1 50.625 (47.893) Prec@5 74.375 (78.354) Epoch: [53][4550/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 1.9994 (2.0176) Prec@1 48.750 (47.893) Prec@5 81.250 (78.354) Epoch: [53][4560/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 1.9761 (2.0176) Prec@1 48.125 (47.893) Prec@5 80.000 (78.356) Epoch: [53][4570/11272] Time 0.816 (0.806) Data 0.001 (0.002) Loss 2.1396 (2.0176) Prec@1 45.000 (47.893) Prec@5 74.375 (78.356) Epoch: [53][4580/11272] Time 0.803 (0.806) Data 0.002 (0.002) Loss 2.1759 (2.0176) Prec@1 41.875 (47.892) Prec@5 74.375 (78.356) Epoch: [53][4590/11272] Time 0.738 (0.806) Data 0.001 (0.002) Loss 1.9646 (2.0173) Prec@1 48.125 (47.896) Prec@5 82.500 (78.359) Epoch: [53][4600/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.0495 (2.0174) Prec@1 51.250 (47.895) Prec@5 79.375 (78.358) Epoch: [53][4610/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 1.9347 (2.0174) Prec@1 43.750 (47.894) Prec@5 81.875 (78.361) Epoch: [53][4620/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.0170 (2.0174) Prec@1 47.500 (47.890) Prec@5 82.500 (78.360) Epoch: [53][4630/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.1689 (2.0175) Prec@1 45.000 (47.886) Prec@5 76.875 (78.359) Epoch: [53][4640/11272] Time 0.866 (0.806) Data 0.002 (0.002) Loss 2.0889 (2.0176) Prec@1 46.875 (47.883) Prec@5 77.500 (78.358) Epoch: [53][4650/11272] Time 0.849 (0.806) Data 0.001 (0.002) Loss 2.0947 (2.0176) Prec@1 48.750 (47.884) Prec@5 73.125 (78.354) Epoch: [53][4660/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.2539 (2.0178) Prec@1 40.625 (47.881) Prec@5 71.875 (78.352) Epoch: [53][4670/11272] Time 0.760 (0.806) Data 0.002 (0.002) Loss 2.2358 (2.0181) Prec@1 45.000 (47.876) Prec@5 73.750 (78.345) Epoch: [53][4680/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.0737 (2.0181) Prec@1 45.625 (47.875) Prec@5 76.875 (78.346) Epoch: [53][4690/11272] Time 0.834 (0.806) Data 0.003 (0.002) Loss 2.0770 (2.0182) Prec@1 49.375 (47.876) Prec@5 76.875 (78.345) Epoch: [53][4700/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.1492 (2.0182) Prec@1 45.000 (47.873) Prec@5 76.875 (78.344) Epoch: [53][4710/11272] Time 0.754 (0.806) Data 0.002 (0.002) Loss 1.9554 (2.0181) Prec@1 53.750 (47.873) Prec@5 80.625 (78.350) Epoch: [53][4720/11272] Time 0.816 (0.806) Data 0.001 (0.002) Loss 2.2590 (2.0181) Prec@1 40.625 (47.875) Prec@5 73.750 (78.349) Epoch: [53][4730/11272] Time 0.884 (0.806) Data 0.001 (0.002) Loss 2.0941 (2.0181) Prec@1 43.750 (47.869) Prec@5 78.750 (78.350) Epoch: [53][4740/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 2.1021 (2.0182) Prec@1 44.375 (47.867) Prec@5 77.500 (78.348) Epoch: [53][4750/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 1.9976 (2.0182) Prec@1 46.250 (47.867) Prec@5 76.250 (78.347) Epoch: [53][4760/11272] Time 0.920 (0.806) Data 0.002 (0.002) Loss 2.1584 (2.0183) Prec@1 49.375 (47.867) Prec@5 74.375 (78.346) Epoch: [53][4770/11272] Time 0.716 (0.806) Data 0.002 (0.002) Loss 2.1857 (2.0184) Prec@1 44.375 (47.864) Prec@5 76.250 (78.344) Epoch: [53][4780/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 1.8794 (2.0184) Prec@1 47.500 (47.862) Prec@5 80.000 (78.345) Epoch: [53][4790/11272] Time 0.879 (0.806) Data 0.002 (0.002) Loss 1.9819 (2.0184) Prec@1 50.625 (47.861) Prec@5 75.625 (78.346) Epoch: [53][4800/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.0324 (2.0184) Prec@1 48.125 (47.862) Prec@5 80.625 (78.347) Epoch: [53][4810/11272] Time 0.758 (0.806) Data 0.001 (0.002) Loss 2.3016 (2.0185) Prec@1 40.000 (47.859) Prec@5 72.500 (78.344) Epoch: [53][4820/11272] Time 0.736 (0.806) Data 0.001 (0.002) Loss 2.1605 (2.0185) Prec@1 48.125 (47.858) Prec@5 76.875 (78.343) Epoch: [53][4830/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.1482 (2.0185) Prec@1 46.250 (47.858) Prec@5 77.500 (78.343) Epoch: [53][4840/11272] Time 0.848 (0.806) Data 0.002 (0.002) Loss 2.0141 (2.0185) Prec@1 50.000 (47.860) Prec@5 77.500 (78.342) Epoch: [53][4850/11272] Time 0.761 (0.806) Data 0.001 (0.002) Loss 2.0259 (2.0185) Prec@1 49.375 (47.859) Prec@5 80.625 (78.341) Epoch: [53][4860/11272] Time 0.779 (0.806) Data 0.002 (0.002) Loss 1.9991 (2.0185) Prec@1 47.500 (47.860) Prec@5 78.125 (78.340) Epoch: [53][4870/11272] Time 0.829 (0.806) Data 0.001 (0.002) Loss 2.1117 (2.0185) Prec@1 43.750 (47.857) Prec@5 76.875 (78.339) Epoch: [53][4880/11272] Time 0.833 (0.806) Data 0.001 (0.002) Loss 2.1353 (2.0185) Prec@1 45.625 (47.856) Prec@5 76.875 (78.337) Epoch: [53][4890/11272] Time 0.756 (0.806) Data 0.002 (0.002) Loss 2.3203 (2.0185) Prec@1 45.625 (47.857) Prec@5 68.750 (78.336) Epoch: [53][4900/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 2.1084 (2.0185) Prec@1 45.000 (47.860) Prec@5 76.875 (78.339) Epoch: [53][4910/11272] Time 0.856 (0.806) Data 0.002 (0.002) Loss 2.2519 (2.0185) Prec@1 46.250 (47.860) Prec@5 76.875 (78.340) Epoch: [53][4920/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 2.1629 (2.0185) Prec@1 45.000 (47.860) Prec@5 76.875 (78.342) Epoch: [53][4930/11272] Time 0.724 (0.806) Data 0.001 (0.002) Loss 2.0231 (2.0185) Prec@1 48.750 (47.860) Prec@5 77.500 (78.342) Epoch: [53][4940/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 1.9642 (2.0185) Prec@1 46.250 (47.858) Prec@5 79.375 (78.344) Epoch: [53][4950/11272] Time 0.864 (0.806) Data 0.001 (0.002) Loss 2.1033 (2.0185) Prec@1 50.000 (47.859) Prec@5 75.625 (78.343) Epoch: [53][4960/11272] Time 0.789 (0.806) Data 0.002 (0.002) Loss 1.9658 (2.0185) Prec@1 44.375 (47.859) Prec@5 79.375 (78.345) Epoch: [53][4970/11272] Time 0.715 (0.806) Data 0.001 (0.002) Loss 1.8947 (2.0184) Prec@1 54.375 (47.862) Prec@5 78.750 (78.346) Epoch: [53][4980/11272] Time 0.847 (0.806) Data 0.001 (0.002) Loss 2.1457 (2.0185) Prec@1 44.375 (47.863) Prec@5 76.875 (78.344) Epoch: [53][4990/11272] Time 0.887 (0.806) Data 0.002 (0.002) Loss 1.9604 (2.0182) Prec@1 49.375 (47.868) Prec@5 79.375 (78.350) Epoch: [53][5000/11272] Time 0.734 (0.806) Data 0.001 (0.002) Loss 2.0540 (2.0183) Prec@1 47.500 (47.868) Prec@5 75.000 (78.348) Epoch: [53][5010/11272] Time 0.762 (0.806) Data 0.001 (0.002) Loss 2.0306 (2.0183) Prec@1 49.375 (47.869) Prec@5 79.375 (78.351) Epoch: [53][5020/11272] Time 0.865 (0.806) Data 0.001 (0.002) Loss 2.2575 (2.0183) Prec@1 41.250 (47.872) Prec@5 75.625 (78.350) Epoch: [53][5030/11272] Time 0.779 (0.806) Data 0.004 (0.002) Loss 2.1225 (2.0182) Prec@1 45.625 (47.875) Prec@5 73.750 (78.354) Epoch: [53][5040/11272] Time 0.723 (0.806) Data 0.002 (0.002) Loss 1.9752 (2.0182) Prec@1 46.250 (47.875) Prec@5 79.375 (78.351) Epoch: [53][5050/11272] Time 0.886 (0.806) Data 0.001 (0.002) Loss 1.8880 (2.0182) Prec@1 53.125 (47.875) Prec@5 80.000 (78.352) Epoch: [53][5060/11272] Time 0.834 (0.806) Data 0.002 (0.002) Loss 2.0074 (2.0182) Prec@1 43.125 (47.872) Prec@5 78.125 (78.353) Epoch: [53][5070/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 1.9464 (2.0183) Prec@1 50.000 (47.871) Prec@5 79.375 (78.353) Epoch: [53][5080/11272] Time 0.783 (0.806) Data 0.002 (0.002) Loss 2.1198 (2.0184) Prec@1 44.375 (47.868) Prec@5 74.375 (78.350) Epoch: [53][5090/11272] Time 0.871 (0.806) Data 0.002 (0.002) Loss 2.0114 (2.0185) Prec@1 50.625 (47.867) Prec@5 78.125 (78.349) Epoch: [53][5100/11272] Time 0.875 (0.806) Data 0.007 (0.002) Loss 2.0862 (2.0187) Prec@1 46.875 (47.863) Prec@5 78.750 (78.347) Epoch: [53][5110/11272] Time 0.775 (0.806) Data 0.002 (0.002) Loss 2.1817 (2.0188) Prec@1 46.250 (47.858) Prec@5 72.500 (78.343) Epoch: [53][5120/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.1030 (2.0190) Prec@1 46.250 (47.854) Prec@5 75.000 (78.342) Epoch: [53][5130/11272] Time 0.885 (0.806) Data 0.002 (0.002) Loss 2.1294 (2.0190) Prec@1 41.250 (47.855) Prec@5 77.500 (78.341) Epoch: [53][5140/11272] Time 0.859 (0.806) Data 0.001 (0.002) Loss 1.8618 (2.0190) Prec@1 53.125 (47.855) Prec@5 80.625 (78.341) Epoch: [53][5150/11272] Time 0.789 (0.806) Data 0.002 (0.002) Loss 2.1265 (2.0191) Prec@1 48.125 (47.857) Prec@5 76.250 (78.339) Epoch: [53][5160/11272] Time 0.865 (0.806) Data 0.001 (0.002) Loss 1.9364 (2.0190) Prec@1 53.125 (47.860) Prec@5 80.625 (78.338) Epoch: [53][5170/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 1.8902 (2.0191) Prec@1 46.875 (47.859) Prec@5 77.500 (78.339) Epoch: [53][5180/11272] Time 0.748 (0.806) Data 0.001 (0.002) Loss 1.9430 (2.0190) Prec@1 46.250 (47.859) Prec@5 80.000 (78.339) Epoch: [53][5190/11272] Time 0.776 (0.806) Data 0.002 (0.002) Loss 2.0983 (2.0190) Prec@1 49.375 (47.859) Prec@5 80.000 (78.339) Epoch: [53][5200/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 1.9280 (2.0191) Prec@1 55.625 (47.861) Prec@5 81.250 (78.337) Epoch: [53][5210/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 1.8242 (2.0190) Prec@1 48.750 (47.861) Prec@5 80.625 (78.341) Epoch: [53][5220/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.0958 (2.0188) Prec@1 48.750 (47.864) Prec@5 75.625 (78.343) Epoch: [53][5230/11272] Time 0.723 (0.806) Data 0.001 (0.002) Loss 1.7968 (2.0189) Prec@1 50.000 (47.863) Prec@5 85.000 (78.344) Epoch: [53][5240/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 1.7525 (2.0189) Prec@1 51.875 (47.860) Prec@5 81.250 (78.343) Epoch: [53][5250/11272] Time 0.910 (0.806) Data 0.002 (0.002) Loss 1.9467 (2.0188) Prec@1 48.750 (47.861) Prec@5 79.375 (78.345) Epoch: [53][5260/11272] Time 0.750 (0.806) Data 0.001 (0.002) Loss 2.1325 (2.0189) Prec@1 50.000 (47.860) Prec@5 75.000 (78.344) Epoch: [53][5270/11272] Time 0.786 (0.806) Data 0.003 (0.002) Loss 2.0364 (2.0189) Prec@1 45.625 (47.858) Prec@5 80.000 (78.344) Epoch: [53][5280/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 1.9535 (2.0189) Prec@1 45.625 (47.856) Prec@5 78.125 (78.344) Epoch: [53][5290/11272] Time 0.729 (0.806) Data 0.003 (0.002) Loss 1.9693 (2.0190) Prec@1 51.250 (47.855) Prec@5 76.875 (78.342) Epoch: [53][5300/11272] Time 0.764 (0.806) Data 0.002 (0.002) Loss 1.9845 (2.0191) Prec@1 48.750 (47.856) Prec@5 76.875 (78.340) Epoch: [53][5310/11272] Time 0.835 (0.806) Data 0.002 (0.002) Loss 1.9470 (2.0193) Prec@1 46.250 (47.851) Prec@5 78.125 (78.338) Epoch: [53][5320/11272] Time 0.867 (0.806) Data 0.001 (0.002) Loss 2.0034 (2.0193) Prec@1 47.500 (47.849) Prec@5 80.000 (78.337) Epoch: [53][5330/11272] Time 0.731 (0.806) Data 0.001 (0.002) Loss 1.9212 (2.0194) Prec@1 50.000 (47.848) Prec@5 75.000 (78.335) Epoch: [53][5340/11272] Time 0.791 (0.806) Data 0.002 (0.002) Loss 2.0134 (2.0194) Prec@1 51.875 (47.848) Prec@5 77.500 (78.336) Epoch: [53][5350/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 1.8785 (2.0194) Prec@1 53.750 (47.850) Prec@5 81.250 (78.337) Epoch: [53][5360/11272] Time 0.935 (0.807) Data 0.002 (0.002) Loss 1.8916 (2.0194) Prec@1 52.500 (47.849) Prec@5 80.000 (78.336) Epoch: [53][5370/11272] Time 0.797 (0.807) Data 0.002 (0.002) Loss 1.8632 (2.0195) Prec@1 46.875 (47.846) Prec@5 81.875 (78.335) Epoch: [53][5380/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.0895 (2.0196) Prec@1 45.625 (47.842) Prec@5 76.875 (78.332) Epoch: [53][5390/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 1.8672 (2.0196) Prec@1 46.875 (47.844) Prec@5 80.625 (78.332) Epoch: [53][5400/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 2.1716 (2.0197) Prec@1 48.125 (47.840) Prec@5 76.250 (78.331) Epoch: [53][5410/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 2.0533 (2.0197) Prec@1 45.625 (47.838) Prec@5 77.500 (78.331) Epoch: [53][5420/11272] Time 0.868 (0.807) Data 0.001 (0.002) Loss 2.1814 (2.0197) Prec@1 47.500 (47.840) Prec@5 73.750 (78.331) Epoch: [53][5430/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.2233 (2.0199) Prec@1 43.125 (47.835) Prec@5 72.500 (78.330) Epoch: [53][5440/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 1.9804 (2.0198) Prec@1 50.000 (47.838) Prec@5 78.750 (78.331) Epoch: [53][5450/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.1853 (2.0198) Prec@1 49.375 (47.840) Prec@5 72.500 (78.331) Epoch: [53][5460/11272] Time 0.807 (0.807) Data 0.001 (0.002) Loss 1.8891 (2.0198) Prec@1 51.875 (47.842) Prec@5 80.625 (78.332) Epoch: [53][5470/11272] Time 0.855 (0.807) Data 0.002 (0.002) Loss 2.0759 (2.0197) Prec@1 48.750 (47.842) Prec@5 73.750 (78.331) Epoch: [53][5480/11272] Time 0.711 (0.807) Data 0.001 (0.002) Loss 2.0877 (2.0197) Prec@1 43.750 (47.840) Prec@5 76.875 (78.330) Epoch: [53][5490/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 1.8554 (2.0198) Prec@1 55.000 (47.842) Prec@5 82.500 (78.331) Epoch: [53][5500/11272] Time 0.899 (0.807) Data 0.001 (0.002) Loss 1.9596 (2.0198) Prec@1 45.625 (47.842) Prec@5 78.750 (78.329) Epoch: [53][5510/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 1.7627 (2.0199) Prec@1 51.875 (47.840) Prec@5 82.500 (78.328) Epoch: [53][5520/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 2.1700 (2.0199) Prec@1 46.250 (47.837) Prec@5 78.125 (78.327) Epoch: [53][5530/11272] Time 0.779 (0.807) Data 0.001 (0.002) Loss 1.8089 (2.0200) Prec@1 48.750 (47.838) Prec@5 81.875 (78.328) Epoch: [53][5540/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 1.8451 (2.0200) Prec@1 51.875 (47.838) Prec@5 83.125 (78.327) Epoch: [53][5550/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 1.9346 (2.0200) Prec@1 51.250 (47.841) Prec@5 81.250 (78.326) Epoch: [53][5560/11272] Time 0.790 (0.807) Data 0.002 (0.002) Loss 1.8561 (2.0200) Prec@1 56.875 (47.844) Prec@5 76.250 (78.324) Epoch: [53][5570/11272] Time 0.933 (0.807) Data 0.002 (0.002) Loss 2.2508 (2.0202) Prec@1 42.500 (47.844) Prec@5 74.375 (78.319) Epoch: [53][5580/11272] Time 0.851 (0.807) Data 0.001 (0.002) Loss 2.2105 (2.0202) Prec@1 46.875 (47.846) Prec@5 73.125 (78.319) Epoch: [53][5590/11272] Time 0.776 (0.807) Data 0.002 (0.002) Loss 1.9599 (2.0202) Prec@1 48.125 (47.848) Prec@5 76.875 (78.319) Epoch: [53][5600/11272] Time 0.730 (0.807) Data 0.001 (0.002) Loss 2.0207 (2.0201) Prec@1 45.000 (47.848) Prec@5 80.000 (78.322) Epoch: [53][5610/11272] Time 0.909 (0.807) Data 0.002 (0.002) Loss 2.0263 (2.0201) Prec@1 50.000 (47.847) Prec@5 78.750 (78.320) Epoch: [53][5620/11272] Time 0.923 (0.807) Data 0.002 (0.002) Loss 2.0430 (2.0201) Prec@1 48.750 (47.850) Prec@5 83.125 (78.322) Epoch: [53][5630/11272] Time 0.812 (0.807) Data 0.002 (0.002) Loss 2.3589 (2.0200) Prec@1 39.375 (47.853) Prec@5 74.375 (78.323) Epoch: [53][5640/11272] Time 0.790 (0.807) Data 0.002 (0.002) Loss 2.1012 (2.0201) Prec@1 47.500 (47.848) Prec@5 78.125 (78.322) Epoch: [53][5650/11272] Time 0.907 (0.807) Data 0.001 (0.002) Loss 1.8164 (2.0202) Prec@1 48.750 (47.847) Prec@5 84.375 (78.322) Epoch: [53][5660/11272] Time 0.853 (0.807) Data 0.001 (0.002) Loss 2.0778 (2.0202) Prec@1 50.000 (47.848) Prec@5 76.250 (78.321) Epoch: [53][5670/11272] Time 0.746 (0.807) Data 0.002 (0.002) Loss 2.0808 (2.0202) Prec@1 50.000 (47.849) Prec@5 72.500 (78.319) Epoch: [53][5680/11272] Time 0.796 (0.807) Data 0.002 (0.002) Loss 1.8436 (2.0201) Prec@1 53.125 (47.850) Prec@5 80.000 (78.322) Epoch: [53][5690/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 1.9587 (2.0201) Prec@1 50.625 (47.851) Prec@5 81.250 (78.322) Epoch: [53][5700/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.0765 (2.0201) Prec@1 46.875 (47.848) Prec@5 75.625 (78.323) Epoch: [53][5710/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 1.8455 (2.0201) Prec@1 51.250 (47.848) Prec@5 83.750 (78.323) Epoch: [53][5720/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.0049 (2.0201) Prec@1 47.500 (47.850) Prec@5 78.750 (78.326) Epoch: [53][5730/11272] Time 0.873 (0.807) Data 0.002 (0.002) Loss 2.1587 (2.0202) Prec@1 46.875 (47.848) Prec@5 74.375 (78.322) Epoch: [53][5740/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.1089 (2.0202) Prec@1 46.250 (47.848) Prec@5 76.875 (78.323) Epoch: [53][5750/11272] Time 0.764 (0.807) Data 0.001 (0.002) Loss 2.1307 (2.0203) Prec@1 41.875 (47.846) Prec@5 76.875 (78.321) Epoch: [53][5760/11272] Time 0.848 (0.807) Data 0.002 (0.002) Loss 2.2070 (2.0205) Prec@1 46.250 (47.841) Prec@5 75.625 (78.316) Epoch: [53][5770/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.0074 (2.0206) Prec@1 48.125 (47.838) Prec@5 79.375 (78.314) Epoch: [53][5780/11272] Time 0.773 (0.807) Data 0.002 (0.002) Loss 2.1564 (2.0206) Prec@1 50.625 (47.840) Prec@5 73.750 (78.313) Epoch: [53][5790/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 1.9965 (2.0206) Prec@1 52.500 (47.842) Prec@5 79.375 (78.315) Epoch: [53][5800/11272] Time 0.915 (0.807) Data 0.003 (0.002) Loss 2.0901 (2.0207) Prec@1 46.875 (47.841) Prec@5 76.875 (78.311) Epoch: [53][5810/11272] Time 0.903 (0.807) Data 0.001 (0.002) Loss 2.0874 (2.0208) Prec@1 46.875 (47.837) Prec@5 76.875 (78.310) Epoch: [53][5820/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 1.8986 (2.0210) Prec@1 53.125 (47.832) Prec@5 79.375 (78.308) Epoch: [53][5830/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 1.8178 (2.0209) Prec@1 54.375 (47.833) Prec@5 80.000 (78.309) Epoch: [53][5840/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.0734 (2.0210) Prec@1 47.500 (47.833) Prec@5 79.375 (78.306) Epoch: [53][5850/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 1.9168 (2.0209) Prec@1 50.000 (47.835) Prec@5 76.875 (78.309) Epoch: [53][5860/11272] Time 0.786 (0.807) Data 0.002 (0.002) Loss 2.1440 (2.0210) Prec@1 47.500 (47.838) Prec@5 78.125 (78.307) Epoch: [53][5870/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 1.9898 (2.0210) Prec@1 47.500 (47.838) Prec@5 78.750 (78.309) Epoch: [53][5880/11272] Time 0.900 (0.807) Data 0.002 (0.002) Loss 2.0469 (2.0211) Prec@1 46.250 (47.837) Prec@5 80.625 (78.309) Epoch: [53][5890/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 1.7742 (2.0210) Prec@1 53.750 (47.836) Prec@5 77.500 (78.309) Epoch: [53][5900/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.1249 (2.0210) Prec@1 44.375 (47.835) Prec@5 77.500 (78.310) Epoch: [53][5910/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 1.9773 (2.0211) Prec@1 48.750 (47.834) Prec@5 79.375 (78.307) Epoch: [53][5920/11272] Time 0.834 (0.807) Data 0.002 (0.002) Loss 1.8540 (2.0211) Prec@1 55.000 (47.835) Prec@5 80.625 (78.308) Epoch: [53][5930/11272] Time 0.790 (0.807) Data 0.002 (0.002) Loss 2.1076 (2.0211) Prec@1 45.000 (47.833) Prec@5 76.250 (78.307) Epoch: [53][5940/11272] Time 0.770 (0.807) Data 0.002 (0.002) Loss 2.3015 (2.0212) Prec@1 40.625 (47.830) Prec@5 75.625 (78.307) Epoch: [53][5950/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.1511 (2.0214) Prec@1 45.625 (47.828) Prec@5 73.750 (78.303) Epoch: [53][5960/11272] Time 0.730 (0.807) Data 0.003 (0.002) Loss 2.2035 (2.0214) Prec@1 47.500 (47.828) Prec@5 73.750 (78.303) Epoch: [53][5970/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 2.1826 (2.0215) Prec@1 44.375 (47.825) Prec@5 76.875 (78.300) Epoch: [53][5980/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.0932 (2.0214) Prec@1 51.250 (47.829) Prec@5 74.375 (78.302) Epoch: [53][5990/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 1.9744 (2.0215) Prec@1 53.750 (47.826) Prec@5 78.750 (78.300) Epoch: [53][6000/11272] Time 0.817 (0.807) Data 0.002 (0.002) Loss 1.8403 (2.0217) Prec@1 56.250 (47.821) Prec@5 80.625 (78.300) Epoch: [53][6010/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 1.8814 (2.0215) Prec@1 51.875 (47.823) Prec@5 79.375 (78.301) Epoch: [53][6020/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 2.2031 (2.0216) Prec@1 48.125 (47.822) Prec@5 76.250 (78.297) Epoch: [53][6030/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 1.9125 (2.0216) Prec@1 51.250 (47.824) Prec@5 80.625 (78.298) Epoch: [53][6040/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 1.7998 (2.0216) Prec@1 51.875 (47.823) Prec@5 83.125 (78.299) Epoch: [53][6050/11272] Time 0.785 (0.807) Data 0.002 (0.002) Loss 2.0670 (2.0215) Prec@1 42.500 (47.825) Prec@5 76.875 (78.300) Epoch: [53][6060/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 1.9882 (2.0215) Prec@1 47.500 (47.827) Prec@5 80.625 (78.301) Epoch: [53][6070/11272] Time 0.856 (0.807) Data 0.002 (0.002) Loss 2.1469 (2.0215) Prec@1 48.750 (47.827) Prec@5 80.000 (78.299) Epoch: [53][6080/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 1.9515 (2.0216) Prec@1 50.000 (47.827) Prec@5 79.375 (78.299) Epoch: [53][6090/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.1364 (2.0216) Prec@1 45.625 (47.826) Prec@5 74.375 (78.298) Epoch: [53][6100/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 1.7416 (2.0216) Prec@1 56.250 (47.824) Prec@5 81.875 (78.296) Epoch: [53][6110/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 1.9390 (2.0216) Prec@1 48.125 (47.824) Prec@5 80.000 (78.296) Epoch: [53][6120/11272] Time 0.786 (0.807) Data 0.002 (0.002) Loss 2.0353 (2.0216) Prec@1 46.250 (47.822) Prec@5 79.375 (78.294) Epoch: [53][6130/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 1.9505 (2.0216) Prec@1 46.250 (47.820) Prec@5 77.500 (78.292) Epoch: [53][6140/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 2.0318 (2.0216) Prec@1 44.375 (47.822) Prec@5 81.875 (78.295) Epoch: [53][6150/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 1.6436 (2.0215) Prec@1 58.125 (47.825) Prec@5 83.750 (78.296) Epoch: [53][6160/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.0644 (2.0214) Prec@1 45.000 (47.827) Prec@5 81.250 (78.298) Epoch: [53][6170/11272] Time 0.897 (0.807) Data 0.002 (0.002) Loss 2.0425 (2.0214) Prec@1 46.875 (47.828) Prec@5 79.375 (78.299) Epoch: [53][6180/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.3852 (2.0215) Prec@1 40.625 (47.826) Prec@5 68.125 (78.296) Epoch: [53][6190/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 2.0111 (2.0216) Prec@1 50.000 (47.826) Prec@5 80.000 (78.293) Epoch: [53][6200/11272] Time 0.800 (0.807) Data 0.002 (0.002) Loss 1.8243 (2.0215) Prec@1 52.500 (47.829) Prec@5 84.375 (78.295) Epoch: [53][6210/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.0208 (2.0215) Prec@1 46.250 (47.827) Prec@5 80.000 (78.295) Epoch: [53][6220/11272] Time 0.760 (0.807) Data 0.003 (0.002) Loss 2.0641 (2.0216) Prec@1 45.000 (47.822) Prec@5 76.250 (78.294) Epoch: [53][6230/11272] Time 0.783 (0.807) Data 0.002 (0.002) Loss 1.8808 (2.0215) Prec@1 51.875 (47.825) Prec@5 80.625 (78.297) Epoch: [53][6240/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 1.9733 (2.0214) Prec@1 47.500 (47.825) Prec@5 81.250 (78.301) Epoch: [53][6250/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.0638 (2.0215) Prec@1 45.625 (47.823) Prec@5 78.125 (78.300) Epoch: [53][6260/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 1.9321 (2.0215) Prec@1 51.875 (47.822) Prec@5 82.500 (78.299) Epoch: [53][6270/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.9972 (2.0214) Prec@1 55.000 (47.822) Prec@5 78.750 (78.301) Epoch: [53][6280/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 1.9781 (2.0215) Prec@1 44.375 (47.820) Prec@5 79.375 (78.299) Epoch: [53][6290/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 1.9436 (2.0215) Prec@1 56.250 (47.821) Prec@5 79.375 (78.297) Epoch: [53][6300/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 1.9903 (2.0215) Prec@1 47.500 (47.821) Prec@5 79.375 (78.298) Epoch: [53][6310/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 1.8204 (2.0215) Prec@1 50.000 (47.820) Prec@5 81.875 (78.300) Epoch: [53][6320/11272] Time 0.868 (0.807) Data 0.002 (0.002) Loss 1.7991 (2.0215) Prec@1 53.125 (47.821) Prec@5 80.625 (78.300) Epoch: [53][6330/11272] Time 0.907 (0.807) Data 0.002 (0.002) Loss 2.1802 (2.0215) Prec@1 41.875 (47.820) Prec@5 76.875 (78.300) Epoch: [53][6340/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.8007 (2.0214) Prec@1 52.500 (47.818) Prec@5 82.500 (78.302) Epoch: [53][6350/11272] Time 0.833 (0.807) Data 0.002 (0.002) Loss 2.1933 (2.0215) Prec@1 43.750 (47.816) Prec@5 75.000 (78.299) Epoch: [53][6360/11272] Time 0.844 (0.807) Data 0.002 (0.002) Loss 2.0878 (2.0215) Prec@1 50.625 (47.818) Prec@5 73.125 (78.297) Epoch: [53][6370/11272] Time 0.726 (0.807) Data 0.002 (0.002) Loss 2.1277 (2.0216) Prec@1 42.500 (47.815) Prec@5 77.500 (78.298) Epoch: [53][6380/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 1.9694 (2.0216) Prec@1 52.500 (47.817) Prec@5 78.750 (78.296) Epoch: [53][6390/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.1881 (2.0216) Prec@1 38.750 (47.816) Prec@5 78.125 (78.296) Epoch: [53][6400/11272] Time 0.919 (0.807) Data 0.002 (0.002) Loss 2.0169 (2.0217) Prec@1 50.625 (47.812) Prec@5 81.250 (78.294) Epoch: [53][6410/11272] Time 0.806 (0.807) Data 0.002 (0.002) Loss 2.0972 (2.0217) Prec@1 46.875 (47.811) Prec@5 79.375 (78.296) Epoch: [53][6420/11272] Time 0.793 (0.807) Data 0.002 (0.002) Loss 1.8575 (2.0218) Prec@1 47.500 (47.809) Prec@5 82.500 (78.296) Epoch: [53][6430/11272] Time 0.826 (0.807) Data 0.001 (0.002) Loss 2.1555 (2.0218) Prec@1 51.250 (47.810) Prec@5 74.375 (78.296) Epoch: [53][6440/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 2.0260 (2.0217) Prec@1 45.625 (47.810) Prec@5 73.750 (78.297) Epoch: [53][6450/11272] Time 0.792 (0.807) Data 0.001 (0.002) Loss 1.7690 (2.0217) Prec@1 55.625 (47.811) Prec@5 85.000 (78.298) Epoch: [53][6460/11272] Time 0.796 (0.807) Data 0.002 (0.002) Loss 2.0380 (2.0218) Prec@1 43.750 (47.811) Prec@5 81.250 (78.299) Epoch: [53][6470/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 1.8796 (2.0218) Prec@1 46.250 (47.808) Prec@5 80.625 (78.298) Epoch: [53][6480/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 1.9519 (2.0218) Prec@1 51.875 (47.808) Prec@5 79.375 (78.296) Epoch: [53][6490/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 1.9677 (2.0218) Prec@1 50.000 (47.809) Prec@5 75.000 (78.296) Epoch: [53][6500/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 1.8761 (2.0219) Prec@1 46.875 (47.806) Prec@5 81.875 (78.293) Epoch: [53][6510/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 2.0622 (2.0218) Prec@1 49.375 (47.808) Prec@5 78.750 (78.293) Epoch: [53][6520/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.0002 (2.0219) Prec@1 45.000 (47.807) Prec@5 80.625 (78.293) Epoch: [53][6530/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.8543 (2.0218) Prec@1 53.125 (47.808) Prec@5 84.375 (78.297) Epoch: [53][6540/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.1393 (2.0218) Prec@1 45.000 (47.808) Prec@5 77.500 (78.296) Epoch: [53][6550/11272] Time 0.871 (0.807) Data 0.001 (0.002) Loss 2.3181 (2.0218) Prec@1 43.125 (47.805) Prec@5 70.625 (78.297) Epoch: [53][6560/11272] Time 0.803 (0.807) Data 0.002 (0.002) Loss 2.2038 (2.0218) Prec@1 38.750 (47.805) Prec@5 75.625 (78.298) Epoch: [53][6570/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.1390 (2.0219) Prec@1 43.750 (47.805) Prec@5 76.875 (78.297) Epoch: [53][6580/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 2.3312 (2.0220) Prec@1 40.000 (47.803) Prec@5 74.375 (78.296) Epoch: [53][6590/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 1.9723 (2.0220) Prec@1 46.875 (47.802) Prec@5 78.750 (78.294) Epoch: [53][6600/11272] Time 0.789 (0.807) Data 0.001 (0.002) Loss 1.7576 (2.0220) Prec@1 53.125 (47.803) Prec@5 86.875 (78.295) Epoch: [53][6610/11272] Time 0.790 (0.807) Data 0.002 (0.002) Loss 2.0993 (2.0219) Prec@1 47.500 (47.803) Prec@5 73.750 (78.295) Epoch: [53][6620/11272] Time 0.875 (0.807) Data 0.001 (0.002) Loss 2.0967 (2.0218) Prec@1 52.500 (47.805) Prec@5 77.500 (78.297) Epoch: [53][6630/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.0504 (2.0219) Prec@1 41.875 (47.801) Prec@5 75.625 (78.296) Epoch: [53][6640/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.1730 (2.0218) Prec@1 41.875 (47.801) Prec@5 72.500 (78.297) Epoch: [53][6650/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 1.9319 (2.0218) Prec@1 49.375 (47.801) Prec@5 81.250 (78.296) Epoch: [53][6660/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 1.9309 (2.0217) Prec@1 46.250 (47.802) Prec@5 80.000 (78.296) Epoch: [53][6670/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.1928 (2.0218) Prec@1 43.750 (47.804) Prec@5 73.750 (78.293) Epoch: [53][6680/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 2.2700 (2.0218) Prec@1 44.375 (47.802) Prec@5 73.750 (78.292) Epoch: [53][6690/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.1539 (2.0218) Prec@1 43.125 (47.800) Prec@5 74.375 (78.293) Epoch: [53][6700/11272] Time 0.824 (0.807) Data 0.001 (0.002) Loss 1.9485 (2.0218) Prec@1 50.625 (47.799) Prec@5 78.125 (78.291) Epoch: [53][6710/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 2.2150 (2.0220) Prec@1 48.125 (47.796) Prec@5 73.125 (78.289) Epoch: [53][6720/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 1.9795 (2.0220) Prec@1 47.500 (47.794) Prec@5 81.875 (78.289) Epoch: [53][6730/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.1694 (2.0222) Prec@1 44.375 (47.789) Prec@5 77.500 (78.285) Epoch: [53][6740/11272] Time 0.879 (0.807) Data 0.002 (0.002) Loss 2.1791 (2.0222) Prec@1 38.125 (47.789) Prec@5 76.250 (78.286) Epoch: [53][6750/11272] Time 0.788 (0.807) Data 0.002 (0.002) Loss 2.0968 (2.0223) Prec@1 43.125 (47.786) Prec@5 78.750 (78.284) Epoch: [53][6760/11272] Time 0.862 (0.807) Data 0.001 (0.002) Loss 2.0217 (2.0223) Prec@1 45.625 (47.790) Prec@5 77.500 (78.284) Epoch: [53][6770/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.1061 (2.0224) Prec@1 49.375 (47.787) Prec@5 75.625 (78.279) Epoch: [53][6780/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 2.0978 (2.0224) Prec@1 45.625 (47.787) Prec@5 76.250 (78.277) Epoch: [53][6790/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.1198 (2.0225) Prec@1 45.625 (47.786) Prec@5 75.000 (78.276) Epoch: [53][6800/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 1.8498 (2.0224) Prec@1 52.500 (47.786) Prec@5 77.500 (78.277) Epoch: [53][6810/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 1.9979 (2.0224) Prec@1 51.875 (47.788) Prec@5 80.000 (78.277) Epoch: [53][6820/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 1.9827 (2.0224) Prec@1 46.250 (47.786) Prec@5 81.250 (78.277) Epoch: [53][6830/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.2754 (2.0224) Prec@1 40.625 (47.787) Prec@5 68.125 (78.276) Epoch: [53][6840/11272] Time 0.886 (0.807) Data 0.001 (0.002) Loss 2.2179 (2.0224) Prec@1 43.750 (47.787) Prec@5 69.375 (78.274) Epoch: [53][6850/11272] Time 0.862 (0.807) Data 0.002 (0.002) Loss 1.9403 (2.0224) Prec@1 46.875 (47.788) Prec@5 78.750 (78.273) Epoch: [53][6860/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 1.9653 (2.0223) Prec@1 46.250 (47.789) Prec@5 78.750 (78.274) Epoch: [53][6870/11272] Time 0.778 (0.807) Data 0.002 (0.002) Loss 2.0992 (2.0223) Prec@1 48.125 (47.789) Prec@5 78.750 (78.274) Epoch: [53][6880/11272] Time 0.889 (0.807) Data 0.002 (0.002) Loss 2.0700 (2.0225) Prec@1 49.375 (47.786) Prec@5 78.125 (78.272) Epoch: [53][6890/11272] Time 0.770 (0.807) Data 0.004 (0.002) Loss 1.8499 (2.0224) Prec@1 53.750 (47.789) Prec@5 81.250 (78.274) Epoch: [53][6900/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 2.1931 (2.0224) Prec@1 47.500 (47.788) Prec@5 77.500 (78.273) Epoch: [53][6910/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 2.0831 (2.0224) Prec@1 39.375 (47.785) Prec@5 78.750 (78.274) Epoch: [53][6920/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.1146 (2.0224) Prec@1 46.875 (47.785) Prec@5 79.375 (78.274) Epoch: [53][6930/11272] Time 0.780 (0.807) Data 0.002 (0.002) Loss 2.1900 (2.0225) Prec@1 45.625 (47.783) Prec@5 77.500 (78.272) Epoch: [53][6940/11272] Time 0.814 (0.807) Data 0.002 (0.002) Loss 2.1543 (2.0224) Prec@1 41.875 (47.786) Prec@5 76.875 (78.275) Epoch: [53][6950/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.0875 (2.0224) Prec@1 45.000 (47.785) Prec@5 78.750 (78.276) Epoch: [53][6960/11272] Time 0.819 (0.807) Data 0.001 (0.002) Loss 1.8119 (2.0223) Prec@1 50.000 (47.785) Prec@5 83.750 (78.277) Epoch: [53][6970/11272] Time 0.736 (0.807) Data 0.002 (0.002) Loss 2.0259 (2.0223) Prec@1 48.750 (47.785) Prec@5 75.000 (78.277) Epoch: [53][6980/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 1.9954 (2.0224) Prec@1 46.875 (47.784) Prec@5 78.125 (78.275) Epoch: [53][6990/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 2.0311 (2.0223) Prec@1 43.750 (47.786) Prec@5 79.375 (78.277) Epoch: [53][7000/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 2.0581 (2.0222) Prec@1 48.750 (47.790) Prec@5 76.875 (78.280) Epoch: [53][7010/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 1.8883 (2.0221) Prec@1 47.500 (47.792) Prec@5 79.375 (78.282) Epoch: [53][7020/11272] Time 0.818 (0.807) Data 0.002 (0.002) Loss 1.7368 (2.0221) Prec@1 56.250 (47.791) Prec@5 80.625 (78.281) Epoch: [53][7030/11272] Time 0.887 (0.807) Data 0.002 (0.002) Loss 2.2543 (2.0221) Prec@1 45.000 (47.792) Prec@5 72.500 (78.280) Epoch: [53][7040/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.2278 (2.0222) Prec@1 41.875 (47.788) Prec@5 73.125 (78.278) Epoch: [53][7050/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.0359 (2.0223) Prec@1 51.875 (47.786) Prec@5 71.250 (78.276) Epoch: [53][7060/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.3863 (2.0224) Prec@1 40.000 (47.782) Prec@5 69.375 (78.273) Epoch: [53][7070/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 2.3332 (2.0225) Prec@1 45.625 (47.781) Prec@5 75.000 (78.272) Epoch: [53][7080/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.1081 (2.0225) Prec@1 43.125 (47.782) Prec@5 76.250 (78.272) Epoch: [53][7090/11272] Time 0.770 (0.807) Data 0.001 (0.002) Loss 1.9267 (2.0225) Prec@1 46.250 (47.782) Prec@5 86.875 (78.274) Epoch: [53][7100/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 1.8563 (2.0224) Prec@1 55.000 (47.782) Prec@5 82.500 (78.273) Epoch: [53][7110/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 1.9146 (2.0224) Prec@1 51.250 (47.783) Prec@5 81.250 (78.273) Epoch: [53][7120/11272] Time 0.752 (0.807) Data 0.003 (0.002) Loss 2.1709 (2.0224) Prec@1 43.750 (47.783) Prec@5 71.250 (78.273) Epoch: [53][7130/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.0932 (2.0223) Prec@1 42.500 (47.783) Prec@5 78.750 (78.275) Epoch: [53][7140/11272] Time 0.814 (0.807) Data 0.002 (0.002) Loss 1.8516 (2.0223) Prec@1 49.375 (47.784) Prec@5 81.875 (78.275) Epoch: [53][7150/11272] Time 0.774 (0.807) Data 0.003 (0.002) Loss 2.1899 (2.0224) Prec@1 43.750 (47.781) Prec@5 76.250 (78.274) Epoch: [53][7160/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 1.9906 (2.0225) Prec@1 50.000 (47.780) Prec@5 75.625 (78.272) Epoch: [53][7170/11272] Time 0.834 (0.807) Data 0.001 (0.002) Loss 1.8698 (2.0225) Prec@1 49.375 (47.779) Prec@5 80.625 (78.272) Epoch: [53][7180/11272] Time 0.825 (0.807) Data 0.001 (0.002) Loss 2.0142 (2.0225) Prec@1 51.250 (47.779) Prec@5 76.875 (78.272) Epoch: [53][7190/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.2230 (2.0224) Prec@1 46.250 (47.778) Prec@5 77.500 (78.274) Epoch: [53][7200/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 2.1524 (2.0224) Prec@1 45.625 (47.780) Prec@5 76.250 (78.273) Epoch: [53][7210/11272] Time 0.829 (0.807) Data 0.001 (0.002) Loss 2.0019 (2.0225) Prec@1 46.250 (47.779) Prec@5 81.875 (78.272) Epoch: [53][7220/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 2.0903 (2.0224) Prec@1 43.125 (47.779) Prec@5 76.875 (78.272) Epoch: [53][7230/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.3380 (2.0225) Prec@1 39.375 (47.777) Prec@5 71.875 (78.272) Epoch: [53][7240/11272] Time 0.730 (0.807) Data 0.002 (0.002) Loss 1.8227 (2.0225) Prec@1 57.500 (47.778) Prec@5 85.000 (78.272) Epoch: [53][7250/11272] Time 0.841 (0.807) Data 0.001 (0.002) Loss 2.0006 (2.0225) Prec@1 43.125 (47.776) Prec@5 82.500 (78.271) Epoch: [53][7260/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 2.0146 (2.0225) Prec@1 45.625 (47.779) Prec@5 76.875 (78.270) Epoch: [53][7270/11272] Time 0.731 (0.807) Data 0.002 (0.002) Loss 2.1255 (2.0226) Prec@1 46.875 (47.775) Prec@5 78.125 (78.269) Epoch: [53][7280/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 2.1797 (2.0225) Prec@1 46.250 (47.776) Prec@5 71.250 (78.270) Epoch: [53][7290/11272] Time 0.868 (0.807) Data 0.001 (0.002) Loss 2.0883 (2.0226) Prec@1 46.250 (47.774) Prec@5 79.375 (78.271) Epoch: [53][7300/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 1.9966 (2.0227) Prec@1 50.000 (47.771) Prec@5 76.250 (78.269) Epoch: [53][7310/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.0867 (2.0227) Prec@1 46.875 (47.770) Prec@5 74.375 (78.269) Epoch: [53][7320/11272] Time 0.903 (0.807) Data 0.002 (0.002) Loss 2.1087 (2.0227) Prec@1 43.750 (47.770) Prec@5 73.750 (78.268) Epoch: [53][7330/11272] Time 0.901 (0.807) Data 0.002 (0.002) Loss 1.8834 (2.0227) Prec@1 53.125 (47.771) Prec@5 79.375 (78.267) Epoch: [53][7340/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 1.9247 (2.0228) Prec@1 48.750 (47.769) Prec@5 82.500 (78.268) Epoch: [53][7350/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.8748 (2.0228) Prec@1 47.500 (47.768) Prec@5 80.000 (78.267) Epoch: [53][7360/11272] Time 0.934 (0.807) Data 0.002 (0.002) Loss 2.0395 (2.0228) Prec@1 43.750 (47.767) Prec@5 78.125 (78.267) Epoch: [53][7370/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.1417 (2.0228) Prec@1 44.375 (47.766) Prec@5 76.875 (78.267) Epoch: [53][7380/11272] Time 0.734 (0.807) Data 0.002 (0.002) Loss 2.0521 (2.0228) Prec@1 49.375 (47.764) Prec@5 76.250 (78.267) Epoch: [53][7390/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 1.9559 (2.0229) Prec@1 47.500 (47.763) Prec@5 83.125 (78.266) Epoch: [53][7400/11272] Time 0.895 (0.807) Data 0.004 (0.002) Loss 2.2730 (2.0230) Prec@1 42.500 (47.764) Prec@5 74.375 (78.264) Epoch: [53][7410/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 2.0419 (2.0230) Prec@1 43.750 (47.765) Prec@5 78.750 (78.264) Epoch: [53][7420/11272] Time 0.762 (0.807) Data 0.002 (0.002) Loss 1.9526 (2.0230) Prec@1 51.250 (47.766) Prec@5 78.125 (78.262) Epoch: [53][7430/11272] Time 0.892 (0.807) Data 0.001 (0.002) Loss 1.8160 (2.0231) Prec@1 53.125 (47.766) Prec@5 83.125 (78.263) Epoch: [53][7440/11272] Time 0.849 (0.807) Data 0.002 (0.002) Loss 1.8742 (2.0230) Prec@1 48.125 (47.766) Prec@5 80.625 (78.263) Epoch: [53][7450/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.3445 (2.0232) Prec@1 42.500 (47.763) Prec@5 74.375 (78.260) Epoch: [53][7460/11272] Time 0.732 (0.807) Data 0.002 (0.002) Loss 2.1547 (2.0232) Prec@1 42.500 (47.764) Prec@5 76.250 (78.261) Epoch: [53][7470/11272] Time 0.835 (0.807) Data 0.001 (0.002) Loss 2.0452 (2.0231) Prec@1 50.625 (47.767) Prec@5 77.500 (78.261) Epoch: [53][7480/11272] Time 0.833 (0.807) Data 0.002 (0.002) Loss 2.1070 (2.0231) Prec@1 46.250 (47.766) Prec@5 80.625 (78.262) Epoch: [53][7490/11272] Time 0.791 (0.807) Data 0.002 (0.002) Loss 2.1376 (2.0232) Prec@1 43.125 (47.763) Prec@5 76.875 (78.259) Epoch: [53][7500/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 1.8182 (2.0233) Prec@1 51.875 (47.759) Prec@5 82.500 (78.258) Epoch: [53][7510/11272] Time 0.824 (0.807) Data 0.001 (0.002) Loss 2.2261 (2.0233) Prec@1 43.125 (47.756) Prec@5 80.625 (78.259) Epoch: [53][7520/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 1.8089 (2.0234) Prec@1 53.750 (47.754) Prec@5 82.500 (78.258) Epoch: [53][7530/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.0454 (2.0234) Prec@1 48.125 (47.756) Prec@5 75.625 (78.258) Epoch: [53][7540/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.0109 (2.0233) Prec@1 46.875 (47.758) Prec@5 80.625 (78.257) Epoch: [53][7550/11272] Time 0.894 (0.807) Data 0.002 (0.002) Loss 2.0787 (2.0233) Prec@1 51.875 (47.760) Prec@5 75.000 (78.258) Epoch: [53][7560/11272] Time 0.767 (0.807) Data 0.002 (0.002) Loss 2.1651 (2.0234) Prec@1 43.750 (47.760) Prec@5 73.750 (78.258) Epoch: [53][7570/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 1.9248 (2.0233) Prec@1 50.625 (47.760) Prec@5 79.375 (78.259) Epoch: [53][7580/11272] Time 0.808 (0.807) Data 0.002 (0.002) Loss 1.8559 (2.0233) Prec@1 50.625 (47.761) Prec@5 83.125 (78.257) Epoch: [53][7590/11272] Time 0.815 (0.807) Data 0.001 (0.002) Loss 2.1756 (2.0234) Prec@1 46.250 (47.760) Prec@5 80.000 (78.258) Epoch: [53][7600/11272] Time 0.721 (0.807) Data 0.001 (0.002) Loss 2.0120 (2.0233) Prec@1 49.375 (47.761) Prec@5 78.125 (78.258) Epoch: [53][7610/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 1.9857 (2.0233) Prec@1 49.375 (47.759) Prec@5 81.250 (78.259) Epoch: [53][7620/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 1.9561 (2.0232) Prec@1 46.250 (47.760) Prec@5 81.250 (78.261) Epoch: [53][7630/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 1.7268 (2.0232) Prec@1 50.000 (47.760) Prec@5 82.500 (78.262) Epoch: [53][7640/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.2904 (2.0233) Prec@1 44.375 (47.758) Prec@5 74.375 (78.261) Epoch: [53][7650/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.1242 (2.0234) Prec@1 48.750 (47.755) Prec@5 73.750 (78.259) Epoch: [53][7660/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 1.9896 (2.0234) Prec@1 45.000 (47.753) Prec@5 78.125 (78.257) Epoch: [53][7670/11272] Time 0.840 (0.807) Data 0.002 (0.002) Loss 2.0943 (2.0234) Prec@1 48.125 (47.753) Prec@5 79.375 (78.257) Epoch: [53][7680/11272] Time 0.735 (0.807) Data 0.002 (0.002) Loss 2.0780 (2.0234) Prec@1 44.375 (47.753) Prec@5 80.000 (78.258) Epoch: [53][7690/11272] Time 0.867 (0.807) Data 0.002 (0.002) Loss 1.9421 (2.0235) Prec@1 47.500 (47.752) Prec@5 81.875 (78.257) Epoch: [53][7700/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.2581 (2.0235) Prec@1 42.500 (47.752) Prec@5 74.375 (78.258) Epoch: [53][7710/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.0093 (2.0234) Prec@1 53.125 (47.754) Prec@5 76.875 (78.258) Epoch: [53][7720/11272] Time 0.705 (0.807) Data 0.001 (0.002) Loss 1.8524 (2.0234) Prec@1 50.000 (47.754) Prec@5 79.375 (78.256) Epoch: [53][7730/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.0110 (2.0235) Prec@1 47.500 (47.753) Prec@5 78.125 (78.255) Epoch: [53][7740/11272] Time 0.886 (0.807) Data 0.002 (0.002) Loss 1.8485 (2.0234) Prec@1 51.875 (47.757) Prec@5 82.500 (78.256) Epoch: [53][7750/11272] Time 0.724 (0.807) Data 0.002 (0.002) Loss 1.9708 (2.0233) Prec@1 46.875 (47.758) Prec@5 78.125 (78.259) Epoch: [53][7760/11272] Time 0.805 (0.807) Data 0.002 (0.002) Loss 2.2454 (2.0233) Prec@1 45.000 (47.760) Prec@5 73.125 (78.260) Epoch: [53][7770/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.0985 (2.0233) Prec@1 46.875 (47.762) Prec@5 75.000 (78.259) Epoch: [53][7780/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 1.7236 (2.0232) Prec@1 54.375 (47.764) Prec@5 82.500 (78.259) Epoch: [53][7790/11272] Time 0.804 (0.807) Data 0.002 (0.002) Loss 2.0503 (2.0232) Prec@1 50.625 (47.765) Prec@5 78.125 (78.259) Epoch: [53][7800/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 2.0721 (2.0232) Prec@1 43.750 (47.763) Prec@5 78.750 (78.258) Epoch: [53][7810/11272] Time 0.871 (0.807) Data 0.002 (0.002) Loss 1.9471 (2.0232) Prec@1 46.250 (47.762) Prec@5 82.500 (78.260) Epoch: [53][7820/11272] Time 0.727 (0.807) Data 0.003 (0.002) Loss 1.9301 (2.0231) Prec@1 50.625 (47.763) Prec@5 77.500 (78.260) Epoch: [53][7830/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 1.9431 (2.0231) Prec@1 53.750 (47.766) Prec@5 81.250 (78.259) Epoch: [53][7840/11272] Time 0.891 (0.807) Data 0.003 (0.002) Loss 1.8468 (2.0231) Prec@1 52.500 (47.765) Prec@5 83.125 (78.260) Epoch: [53][7850/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 1.9759 (2.0232) Prec@1 51.875 (47.764) Prec@5 80.625 (78.258) Epoch: [53][7860/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.1071 (2.0232) Prec@1 43.125 (47.764) Prec@5 78.750 (78.258) Epoch: [53][7870/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 2.0943 (2.0233) Prec@1 45.000 (47.761) Prec@5 76.875 (78.255) Epoch: [53][7880/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 1.8371 (2.0232) Prec@1 49.375 (47.761) Prec@5 82.500 (78.255) Epoch: [53][7890/11272] Time 0.816 (0.807) Data 0.001 (0.002) Loss 2.2534 (2.0232) Prec@1 36.250 (47.762) Prec@5 76.250 (78.256) Epoch: [53][7900/11272] Time 0.786 (0.807) Data 0.002 (0.002) Loss 2.2971 (2.0233) Prec@1 46.250 (47.760) Prec@5 74.375 (78.254) Epoch: [53][7910/11272] Time 0.795 (0.807) Data 0.001 (0.002) Loss 1.8552 (2.0233) Prec@1 48.750 (47.760) Prec@5 80.625 (78.255) Epoch: [53][7920/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 2.0260 (2.0233) Prec@1 46.875 (47.761) Prec@5 78.750 (78.255) Epoch: [53][7930/11272] Time 0.893 (0.807) Data 0.002 (0.002) Loss 2.0830 (2.0233) Prec@1 46.875 (47.759) Prec@5 77.500 (78.255) Epoch: [53][7940/11272] Time 0.765 (0.807) Data 0.002 (0.002) Loss 2.1106 (2.0234) Prec@1 43.125 (47.759) Prec@5 78.125 (78.255) Epoch: [53][7950/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 2.0371 (2.0233) Prec@1 47.500 (47.761) Prec@5 80.625 (78.256) Epoch: [53][7960/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.0689 (2.0235) Prec@1 42.500 (47.756) Prec@5 80.625 (78.255) Epoch: [53][7970/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.1448 (2.0235) Prec@1 43.750 (47.753) Prec@5 78.750 (78.256) Epoch: [53][7980/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.2721 (2.0236) Prec@1 38.750 (47.752) Prec@5 75.625 (78.256) Epoch: [53][7990/11272] Time 0.856 (0.807) Data 0.003 (0.002) Loss 1.9704 (2.0236) Prec@1 48.125 (47.751) Prec@5 81.250 (78.257) Epoch: [53][8000/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 1.9244 (2.0236) Prec@1 51.875 (47.752) Prec@5 77.500 (78.255) Epoch: [53][8010/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.1059 (2.0236) Prec@1 43.750 (47.752) Prec@5 78.750 (78.256) Epoch: [53][8020/11272] Time 0.761 (0.807) Data 0.002 (0.002) Loss 2.0323 (2.0236) Prec@1 46.250 (47.751) Prec@5 81.875 (78.258) Epoch: [53][8030/11272] Time 0.833 (0.807) Data 0.002 (0.002) Loss 2.1065 (2.0236) Prec@1 46.875 (47.752) Prec@5 76.250 (78.257) Epoch: [53][8040/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.0408 (2.0235) Prec@1 50.000 (47.754) Prec@5 76.875 (78.260) Epoch: [53][8050/11272] Time 0.763 (0.807) Data 0.002 (0.002) Loss 2.1560 (2.0236) Prec@1 41.250 (47.753) Prec@5 75.625 (78.258) Epoch: [53][8060/11272] Time 0.768 (0.807) Data 0.002 (0.002) Loss 2.4888 (2.0237) Prec@1 36.250 (47.749) Prec@5 68.125 (78.256) Epoch: [53][8070/11272] Time 0.928 (0.807) Data 0.001 (0.002) Loss 2.1290 (2.0238) Prec@1 45.625 (47.750) Prec@5 78.125 (78.254) Epoch: [53][8080/11272] Time 0.777 (0.807) Data 0.004 (0.002) Loss 2.0728 (2.0237) Prec@1 44.375 (47.751) Prec@5 75.625 (78.255) Epoch: [53][8090/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 1.9954 (2.0237) Prec@1 46.250 (47.751) Prec@5 75.625 (78.255) Epoch: [53][8100/11272] Time 0.898 (0.807) Data 0.002 (0.002) Loss 1.7138 (2.0237) Prec@1 50.625 (47.749) Prec@5 85.000 (78.256) Epoch: [53][8110/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.1929 (2.0237) Prec@1 45.000 (47.750) Prec@5 72.500 (78.255) Epoch: [53][8120/11272] Time 0.723 (0.807) Data 0.002 (0.002) Loss 2.0672 (2.0238) Prec@1 51.250 (47.750) Prec@5 77.500 (78.256) Epoch: [53][8130/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 2.1265 (2.0238) Prec@1 47.500 (47.748) Prec@5 75.000 (78.255) Epoch: [53][8140/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 1.8881 (2.0238) Prec@1 51.250 (47.747) Prec@5 79.375 (78.256) Epoch: [53][8150/11272] Time 0.877 (0.807) Data 0.002 (0.002) Loss 2.1427 (2.0239) Prec@1 46.250 (47.749) Prec@5 80.625 (78.255) Epoch: [53][8160/11272] Time 0.778 (0.807) Data 0.002 (0.002) Loss 2.0411 (2.0239) Prec@1 48.125 (47.747) Prec@5 75.625 (78.254) Epoch: [53][8170/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.2876 (2.0239) Prec@1 44.375 (47.749) Prec@5 73.125 (78.253) Epoch: [53][8180/11272] Time 0.821 (0.807) Data 0.001 (0.002) Loss 2.0200 (2.0238) Prec@1 51.250 (47.753) Prec@5 82.500 (78.254) Epoch: [53][8190/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 1.9813 (2.0238) Prec@1 44.375 (47.754) Prec@5 80.000 (78.254) Epoch: [53][8200/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.0837 (2.0238) Prec@1 43.750 (47.754) Prec@5 79.375 (78.255) Epoch: [53][8210/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 1.9799 (2.0237) Prec@1 51.875 (47.757) Prec@5 81.875 (78.256) Epoch: [53][8220/11272] Time 0.823 (0.807) Data 0.001 (0.002) Loss 2.0923 (2.0237) Prec@1 47.500 (47.758) Prec@5 75.000 (78.256) Epoch: [53][8230/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 1.9009 (2.0238) Prec@1 50.000 (47.756) Prec@5 79.375 (78.254) Epoch: [53][8240/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.0267 (2.0238) Prec@1 50.625 (47.754) Prec@5 76.250 (78.253) Epoch: [53][8250/11272] Time 0.918 (0.807) Data 0.002 (0.002) Loss 2.1420 (2.0239) Prec@1 51.875 (47.754) Prec@5 80.000 (78.253) Epoch: [53][8260/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 1.8551 (2.0239) Prec@1 55.000 (47.753) Prec@5 82.500 (78.251) Epoch: [53][8270/11272] Time 0.729 (0.807) Data 0.001 (0.002) Loss 2.1799 (2.0239) Prec@1 43.125 (47.751) Prec@5 75.000 (78.251) Epoch: [53][8280/11272] Time 0.793 (0.807) Data 0.003 (0.002) Loss 1.9544 (2.0240) Prec@1 48.750 (47.750) Prec@5 76.875 (78.249) Epoch: [53][8290/11272] Time 0.911 (0.807) Data 0.002 (0.002) Loss 2.4499 (2.0241) Prec@1 38.125 (47.748) Prec@5 74.375 (78.248) Epoch: [53][8300/11272] Time 0.845 (0.807) Data 0.002 (0.002) Loss 2.0931 (2.0241) Prec@1 47.500 (47.747) Prec@5 80.625 (78.247) Epoch: [53][8310/11272] Time 0.726 (0.807) Data 0.002 (0.002) Loss 1.9543 (2.0241) Prec@1 50.000 (47.748) Prec@5 80.625 (78.249) Epoch: [53][8320/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.2474 (2.0242) Prec@1 46.250 (47.744) Prec@5 76.875 (78.248) Epoch: [53][8330/11272] Time 0.839 (0.807) Data 0.001 (0.002) Loss 1.8666 (2.0241) Prec@1 54.375 (47.746) Prec@5 81.875 (78.249) Epoch: [53][8340/11272] Time 0.839 (0.807) Data 0.002 (0.002) Loss 2.1430 (2.0241) Prec@1 47.500 (47.748) Prec@5 75.000 (78.250) Epoch: [53][8350/11272] Time 0.724 (0.807) Data 0.002 (0.002) Loss 2.0673 (2.0241) Prec@1 48.125 (47.747) Prec@5 80.625 (78.250) Epoch: [53][8360/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.0248 (2.0241) Prec@1 50.000 (47.746) Prec@5 81.250 (78.249) Epoch: [53][8370/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.2843 (2.0242) Prec@1 43.125 (47.742) Prec@5 72.500 (78.247) Epoch: [53][8380/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.0166 (2.0243) Prec@1 47.500 (47.741) Prec@5 75.000 (78.245) Epoch: [53][8390/11272] Time 0.799 (0.807) Data 0.002 (0.002) Loss 2.1892 (2.0243) Prec@1 43.125 (47.738) Prec@5 76.250 (78.246) Epoch: [53][8400/11272] Time 0.831 (0.807) Data 0.001 (0.002) Loss 2.0931 (2.0243) Prec@1 48.750 (47.739) Prec@5 75.000 (78.246) Epoch: [53][8410/11272] Time 0.928 (0.807) Data 0.002 (0.002) Loss 1.8239 (2.0242) Prec@1 48.125 (47.740) Prec@5 81.250 (78.247) Epoch: [53][8420/11272] Time 0.781 (0.807) Data 0.002 (0.002) Loss 1.9988 (2.0242) Prec@1 48.750 (47.739) Prec@5 76.875 (78.247) Epoch: [53][8430/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 1.9960 (2.0242) Prec@1 43.750 (47.739) Prec@5 81.250 (78.248) Epoch: [53][8440/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 1.7522 (2.0242) Prec@1 49.375 (47.737) Prec@5 83.125 (78.250) Epoch: [53][8450/11272] Time 0.840 (0.807) Data 0.001 (0.002) Loss 1.8702 (2.0242) Prec@1 48.125 (47.736) Prec@5 80.625 (78.250) Epoch: [53][8460/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 1.8453 (2.0241) Prec@1 49.375 (47.737) Prec@5 81.250 (78.249) Epoch: [53][8470/11272] Time 0.771 (0.807) Data 0.002 (0.002) Loss 1.8865 (2.0241) Prec@1 50.625 (47.740) Prec@5 82.500 (78.250) Epoch: [53][8480/11272] Time 0.884 (0.807) Data 0.001 (0.002) Loss 1.8681 (2.0241) Prec@1 50.625 (47.740) Prec@5 76.875 (78.247) Epoch: [53][8490/11272] Time 0.722 (0.807) Data 0.001 (0.002) Loss 2.0083 (2.0241) Prec@1 50.625 (47.741) Prec@5 79.375 (78.248) Epoch: [53][8500/11272] Time 0.744 (0.807) Data 0.002 (0.002) Loss 1.8459 (2.0241) Prec@1 50.000 (47.742) Prec@5 81.250 (78.249) Epoch: [53][8510/11272] Time 0.847 (0.807) Data 0.002 (0.002) Loss 2.0053 (2.0240) Prec@1 51.875 (47.742) Prec@5 79.375 (78.249) Epoch: [53][8520/11272] Time 0.818 (0.807) Data 0.002 (0.002) Loss 2.0976 (2.0240) Prec@1 50.625 (47.744) Prec@5 80.000 (78.250) Epoch: [53][8530/11272] Time 0.800 (0.807) Data 0.002 (0.002) Loss 1.9368 (2.0240) Prec@1 50.000 (47.744) Prec@5 83.125 (78.251) Epoch: [53][8540/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.2249 (2.0241) Prec@1 43.750 (47.740) Prec@5 72.500 (78.249) Epoch: [53][8550/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 2.1894 (2.0241) Prec@1 42.500 (47.742) Prec@5 78.125 (78.250) Epoch: [53][8560/11272] Time 0.850 (0.807) Data 0.002 (0.002) Loss 1.9882 (2.0242) Prec@1 44.375 (47.740) Prec@5 80.000 (78.248) Epoch: [53][8570/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.2948 (2.0242) Prec@1 41.875 (47.738) Prec@5 73.125 (78.248) Epoch: [53][8580/11272] Time 0.743 (0.807) Data 0.002 (0.002) Loss 2.1608 (2.0242) Prec@1 41.250 (47.735) Prec@5 79.375 (78.248) Epoch: [53][8590/11272] Time 0.870 (0.807) Data 0.002 (0.002) Loss 2.1697 (2.0242) Prec@1 50.000 (47.738) Prec@5 73.750 (78.248) Epoch: [53][8600/11272] Time 0.860 (0.807) Data 0.001 (0.002) Loss 1.9910 (2.0241) Prec@1 54.375 (47.739) Prec@5 76.250 (78.246) Epoch: [53][8610/11272] Time 0.754 (0.807) Data 0.001 (0.002) Loss 1.9580 (2.0241) Prec@1 51.875 (47.740) Prec@5 79.375 (78.247) Epoch: [53][8620/11272] Time 0.899 (0.807) Data 0.002 (0.002) Loss 1.8636 (2.0241) Prec@1 51.875 (47.738) Prec@5 82.500 (78.245) Epoch: [53][8630/11272] Time 0.895 (0.807) Data 0.001 (0.002) Loss 2.0248 (2.0241) Prec@1 44.375 (47.738) Prec@5 76.875 (78.246) Epoch: [53][8640/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.2537 (2.0243) Prec@1 45.000 (47.736) Prec@5 70.000 (78.242) Epoch: [53][8650/11272] Time 0.731 (0.807) Data 0.001 (0.002) Loss 2.2811 (2.0244) Prec@1 45.625 (47.735) Prec@5 74.375 (78.242) Epoch: [53][8660/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 1.9228 (2.0244) Prec@1 49.375 (47.733) Prec@5 81.250 (78.243) Epoch: [53][8670/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.2168 (2.0245) Prec@1 42.500 (47.730) Prec@5 75.000 (78.241) Epoch: [53][8680/11272] Time 0.788 (0.807) Data 0.002 (0.002) Loss 2.2387 (2.0246) Prec@1 42.500 (47.728) Prec@5 77.500 (78.240) Epoch: [53][8690/11272] Time 0.798 (0.807) Data 0.002 (0.002) Loss 1.9812 (2.0246) Prec@1 48.125 (47.727) Prec@5 81.250 (78.239) Epoch: [53][8700/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 2.3136 (2.0246) Prec@1 41.250 (47.727) Prec@5 71.875 (78.239) Epoch: [53][8710/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.4620 (2.0246) Prec@1 39.375 (47.725) Prec@5 70.000 (78.236) Epoch: [53][8720/11272] Time 0.733 (0.807) Data 0.001 (0.002) Loss 2.2315 (2.0247) Prec@1 42.500 (47.724) Prec@5 73.125 (78.235) Epoch: [53][8730/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.4882 (2.0248) Prec@1 38.750 (47.722) Prec@5 66.875 (78.232) Epoch: [53][8740/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 1.9042 (2.0248) Prec@1 50.000 (47.723) Prec@5 79.375 (78.233) Epoch: [53][8750/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 2.0133 (2.0248) Prec@1 45.000 (47.722) Prec@5 79.375 (78.232) Epoch: [53][8760/11272] Time 0.794 (0.807) Data 0.002 (0.002) Loss 1.6982 (2.0247) Prec@1 52.500 (47.725) Prec@5 86.250 (78.233) Epoch: [53][8770/11272] Time 0.849 (0.807) Data 0.001 (0.002) Loss 1.9637 (2.0248) Prec@1 47.500 (47.724) Prec@5 79.375 (78.233) Epoch: [53][8780/11272] Time 0.890 (0.807) Data 0.002 (0.002) Loss 1.9647 (2.0247) Prec@1 51.875 (47.726) Prec@5 77.500 (78.233) Epoch: [53][8790/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 1.7863 (2.0246) Prec@1 50.625 (47.727) Prec@5 81.250 (78.232) Epoch: [53][8800/11272] Time 0.745 (0.807) Data 0.002 (0.002) Loss 2.0302 (2.0246) Prec@1 47.500 (47.727) Prec@5 80.625 (78.235) Epoch: [53][8810/11272] Time 0.864 (0.807) Data 0.002 (0.002) Loss 2.1499 (2.0246) Prec@1 44.375 (47.727) Prec@5 74.375 (78.234) Epoch: [53][8820/11272] Time 0.878 (0.807) Data 0.002 (0.002) Loss 2.0264 (2.0245) Prec@1 43.750 (47.728) Prec@5 80.000 (78.235) Epoch: [53][8830/11272] Time 0.758 (0.807) Data 0.002 (0.002) Loss 1.7105 (2.0245) Prec@1 53.125 (47.728) Prec@5 84.375 (78.236) Epoch: [53][8840/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 1.9311 (2.0244) Prec@1 52.500 (47.728) Prec@5 81.875 (78.238) Epoch: [53][8850/11272] Time 0.917 (0.807) Data 0.002 (0.002) Loss 2.4904 (2.0244) Prec@1 46.875 (47.730) Prec@5 68.125 (78.238) Epoch: [53][8860/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 1.8943 (2.0244) Prec@1 51.875 (47.733) Prec@5 81.875 (78.239) Epoch: [53][8870/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.2314 (2.0244) Prec@1 45.625 (47.733) Prec@5 75.625 (78.240) Epoch: [53][8880/11272] Time 0.827 (0.808) Data 0.002 (0.002) Loss 1.9691 (2.0244) Prec@1 49.375 (47.733) Prec@5 78.750 (78.239) Epoch: [53][8890/11272] Time 0.859 (0.807) Data 0.001 (0.002) Loss 2.0264 (2.0244) Prec@1 41.250 (47.733) Prec@5 80.625 (78.239) Epoch: [53][8900/11272] Time 0.733 (0.808) Data 0.001 (0.002) Loss 1.9399 (2.0243) Prec@1 53.750 (47.734) Prec@5 82.500 (78.241) Epoch: [53][8910/11272] Time 0.735 (0.808) Data 0.001 (0.002) Loss 1.9179 (2.0243) Prec@1 46.875 (47.733) Prec@5 83.750 (78.241) Epoch: [53][8920/11272] Time 0.892 (0.807) Data 0.002 (0.002) Loss 1.9274 (2.0243) Prec@1 52.500 (47.734) Prec@5 81.250 (78.241) Epoch: [53][8930/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 1.7832 (2.0243) Prec@1 51.875 (47.735) Prec@5 80.625 (78.242) Epoch: [53][8940/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 1.9907 (2.0243) Prec@1 50.000 (47.736) Prec@5 80.625 (78.241) Epoch: [53][8950/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.0977 (2.0243) Prec@1 46.250 (47.736) Prec@5 74.375 (78.241) Epoch: [53][8960/11272] Time 0.811 (0.808) Data 0.001 (0.002) Loss 1.9064 (2.0243) Prec@1 46.250 (47.734) Prec@5 84.375 (78.241) Epoch: [53][8970/11272] Time 0.821 (0.808) Data 0.001 (0.002) Loss 2.0756 (2.0243) Prec@1 49.375 (47.736) Prec@5 73.750 (78.240) Epoch: [53][8980/11272] Time 0.782 (0.808) Data 0.002 (0.002) Loss 1.9842 (2.0244) Prec@1 50.000 (47.735) Prec@5 78.125 (78.239) Epoch: [53][8990/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.1219 (2.0243) Prec@1 48.125 (47.737) Prec@5 74.375 (78.241) Epoch: [53][9000/11272] Time 0.891 (0.808) Data 0.003 (0.002) Loss 1.9304 (2.0244) Prec@1 51.875 (47.736) Prec@5 75.625 (78.240) Epoch: [53][9010/11272] Time 0.744 (0.808) Data 0.003 (0.002) Loss 2.2276 (2.0244) Prec@1 45.000 (47.735) Prec@5 75.000 (78.240) Epoch: [53][9020/11272] Time 0.777 (0.808) Data 0.002 (0.002) Loss 2.0322 (2.0243) Prec@1 46.875 (47.734) Prec@5 81.250 (78.243) Epoch: [53][9030/11272] Time 0.871 (0.808) Data 0.001 (0.002) Loss 2.0013 (2.0243) Prec@1 46.250 (47.736) Prec@5 78.750 (78.243) Epoch: [53][9040/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 2.1368 (2.0243) Prec@1 43.750 (47.735) Prec@5 77.500 (78.242) Epoch: [53][9050/11272] Time 0.724 (0.807) Data 0.002 (0.002) Loss 2.0490 (2.0244) Prec@1 45.625 (47.735) Prec@5 79.375 (78.241) Epoch: [53][9060/11272] Time 0.735 (0.807) Data 0.001 (0.002) Loss 1.9613 (2.0244) Prec@1 45.625 (47.733) Prec@5 80.625 (78.240) Epoch: [53][9070/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 2.0045 (2.0245) Prec@1 47.500 (47.731) Prec@5 76.250 (78.238) Epoch: [53][9080/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.0563 (2.0246) Prec@1 50.625 (47.730) Prec@5 78.750 (78.238) Epoch: [53][9090/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.2134 (2.0247) Prec@1 43.750 (47.727) Prec@5 73.750 (78.237) Epoch: [53][9100/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.2369 (2.0247) Prec@1 43.750 (47.725) Prec@5 75.000 (78.236) Epoch: [53][9110/11272] Time 0.854 (0.808) Data 0.001 (0.002) Loss 2.0526 (2.0248) Prec@1 48.750 (47.724) Prec@5 78.750 (78.234) Epoch: [53][9120/11272] Time 0.802 (0.808) Data 0.001 (0.002) Loss 2.1228 (2.0248) Prec@1 41.875 (47.723) Prec@5 75.625 (78.232) Epoch: [53][9130/11272] Time 0.785 (0.808) Data 0.001 (0.002) Loss 2.0058 (2.0249) Prec@1 48.750 (47.722) Prec@5 76.875 (78.231) Epoch: [53][9140/11272] Time 0.904 (0.808) Data 0.002 (0.002) Loss 2.4017 (2.0249) Prec@1 35.000 (47.721) Prec@5 73.125 (78.232) Epoch: [53][9150/11272] Time 0.825 (0.808) Data 0.001 (0.002) Loss 2.3101 (2.0249) Prec@1 42.500 (47.720) Prec@5 71.875 (78.231) Epoch: [53][9160/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.3684 (2.0249) Prec@1 39.375 (47.719) Prec@5 73.125 (78.231) Epoch: [53][9170/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.0768 (2.0249) Prec@1 46.250 (47.719) Prec@5 75.625 (78.232) Epoch: [53][9180/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.2530 (2.0250) Prec@1 41.875 (47.718) Prec@5 73.750 (78.230) Epoch: [53][9190/11272] Time 0.859 (0.808) Data 0.002 (0.002) Loss 1.9785 (2.0250) Prec@1 50.625 (47.718) Prec@5 81.875 (78.231) Epoch: [53][9200/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.2527 (2.0250) Prec@1 42.500 (47.718) Prec@5 72.500 (78.230) Epoch: [53][9210/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 2.2077 (2.0250) Prec@1 45.000 (47.717) Prec@5 75.000 (78.231) Epoch: [53][9220/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.0256 (2.0251) Prec@1 48.125 (47.714) Prec@5 76.250 (78.229) Epoch: [53][9230/11272] Time 0.796 (0.808) Data 0.001 (0.002) Loss 2.1333 (2.0250) Prec@1 47.500 (47.717) Prec@5 75.625 (78.228) Epoch: [53][9240/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 1.9610 (2.0250) Prec@1 50.625 (47.719) Prec@5 75.625 (78.227) Epoch: [53][9250/11272] Time 0.786 (0.808) Data 0.002 (0.002) Loss 2.1007 (2.0250) Prec@1 48.750 (47.719) Prec@5 78.125 (78.227) Epoch: [53][9260/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.1197 (2.0250) Prec@1 43.750 (47.718) Prec@5 80.000 (78.227) Epoch: [53][9270/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.1252 (2.0250) Prec@1 45.000 (47.719) Prec@5 78.125 (78.228) Epoch: [53][9280/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 1.8462 (2.0250) Prec@1 47.500 (47.718) Prec@5 81.250 (78.227) Epoch: [53][9290/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.1700 (2.0250) Prec@1 41.250 (47.718) Prec@5 76.250 (78.228) Epoch: [53][9300/11272] Time 0.851 (0.808) Data 0.003 (0.002) Loss 2.0962 (2.0250) Prec@1 46.875 (47.716) Prec@5 76.250 (78.228) Epoch: [53][9310/11272] Time 0.746 (0.808) Data 0.001 (0.002) Loss 2.1743 (2.0251) Prec@1 44.375 (47.715) Prec@5 78.750 (78.227) Epoch: [53][9320/11272] Time 0.742 (0.808) Data 0.001 (0.002) Loss 1.8464 (2.0250) Prec@1 48.750 (47.715) Prec@5 81.875 (78.230) Epoch: [53][9330/11272] Time 0.821 (0.808) Data 0.001 (0.002) Loss 1.8852 (2.0251) Prec@1 49.375 (47.714) Prec@5 81.875 (78.229) Epoch: [53][9340/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 2.1407 (2.0252) Prec@1 44.375 (47.712) Prec@5 75.625 (78.226) Epoch: [53][9350/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 1.9733 (2.0252) Prec@1 40.000 (47.710) Prec@5 79.375 (78.226) Epoch: [53][9360/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 1.9344 (2.0253) Prec@1 46.875 (47.711) Prec@5 78.125 (78.225) Epoch: [53][9370/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 1.9708 (2.0254) Prec@1 46.875 (47.709) Prec@5 78.125 (78.224) Epoch: [53][9380/11272] Time 0.892 (0.808) Data 0.002 (0.002) Loss 1.9519 (2.0254) Prec@1 48.125 (47.708) Prec@5 82.500 (78.223) Epoch: [53][9390/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 1.8894 (2.0255) Prec@1 51.875 (47.707) Prec@5 81.250 (78.221) Epoch: [53][9400/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 2.1429 (2.0255) Prec@1 45.625 (47.708) Prec@5 75.625 (78.221) Epoch: [53][9410/11272] Time 0.898 (0.808) Data 0.001 (0.002) Loss 2.2470 (2.0256) Prec@1 45.625 (47.705) Prec@5 77.500 (78.220) Epoch: [53][9420/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.1313 (2.0257) Prec@1 47.500 (47.702) Prec@5 75.000 (78.218) Epoch: [53][9430/11272] Time 0.776 (0.808) Data 0.002 (0.002) Loss 2.1925 (2.0257) Prec@1 41.875 (47.701) Prec@5 71.875 (78.218) Epoch: [53][9440/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 2.0028 (2.0257) Prec@1 46.875 (47.700) Prec@5 80.000 (78.219) Epoch: [53][9450/11272] Time 0.868 (0.808) Data 0.002 (0.002) Loss 1.9515 (2.0257) Prec@1 45.625 (47.701) Prec@5 76.250 (78.217) Epoch: [53][9460/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.2674 (2.0256) Prec@1 46.875 (47.703) Prec@5 73.125 (78.218) Epoch: [53][9470/11272] Time 0.737 (0.808) Data 0.002 (0.002) Loss 2.2911 (2.0257) Prec@1 41.875 (47.700) Prec@5 75.625 (78.218) Epoch: [53][9480/11272] Time 0.867 (0.808) Data 0.001 (0.002) Loss 2.0674 (2.0258) Prec@1 48.125 (47.701) Prec@5 78.125 (78.216) Epoch: [53][9490/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 1.9234 (2.0257) Prec@1 50.625 (47.704) Prec@5 78.750 (78.217) Epoch: [53][9500/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.1967 (2.0258) Prec@1 45.625 (47.703) Prec@5 73.125 (78.215) Epoch: [53][9510/11272] Time 0.786 (0.808) Data 0.001 (0.002) Loss 2.0205 (2.0257) Prec@1 46.875 (47.705) Prec@5 80.000 (78.218) Epoch: [53][9520/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 2.2599 (2.0257) Prec@1 43.125 (47.704) Prec@5 74.375 (78.218) Epoch: [53][9530/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 1.7890 (2.0257) Prec@1 50.000 (47.702) Prec@5 85.000 (78.218) Epoch: [53][9540/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 1.7929 (2.0258) Prec@1 51.875 (47.703) Prec@5 83.125 (78.217) Epoch: [53][9550/11272] Time 0.830 (0.808) Data 0.002 (0.002) Loss 2.0252 (2.0257) Prec@1 46.250 (47.704) Prec@5 79.375 (78.217) Epoch: [53][9560/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 1.9319 (2.0258) Prec@1 51.250 (47.702) Prec@5 81.875 (78.217) Epoch: [53][9570/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 1.9657 (2.0258) Prec@1 50.625 (47.702) Prec@5 78.750 (78.217) Epoch: [53][9580/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 2.0622 (2.0257) Prec@1 45.625 (47.702) Prec@5 76.875 (78.218) Epoch: [53][9590/11272] Time 0.874 (0.808) Data 0.001 (0.002) Loss 1.8424 (2.0257) Prec@1 51.250 (47.702) Prec@5 80.000 (78.217) Epoch: [53][9600/11272] Time 0.912 (0.808) Data 0.001 (0.002) Loss 2.0070 (2.0258) Prec@1 46.250 (47.702) Prec@5 75.000 (78.216) Epoch: [53][9610/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 1.8003 (2.0257) Prec@1 53.125 (47.705) Prec@5 81.250 (78.217) Epoch: [53][9620/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 1.8121 (2.0257) Prec@1 53.125 (47.705) Prec@5 85.625 (78.217) Epoch: [53][9630/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 1.9280 (2.0257) Prec@1 47.500 (47.703) Prec@5 81.250 (78.216) Epoch: [53][9640/11272] Time 0.934 (0.808) Data 0.002 (0.002) Loss 2.0311 (2.0257) Prec@1 50.000 (47.703) Prec@5 81.250 (78.216) Epoch: [53][9650/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.2358 (2.0258) Prec@1 40.000 (47.700) Prec@5 75.000 (78.215) Epoch: [53][9660/11272] Time 0.747 (0.808) Data 0.003 (0.002) Loss 1.7676 (2.0258) Prec@1 51.250 (47.700) Prec@5 81.875 (78.214) Epoch: [53][9670/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 1.8123 (2.0258) Prec@1 51.875 (47.701) Prec@5 83.750 (78.213) Epoch: [53][9680/11272] Time 0.793 (0.808) Data 0.002 (0.002) Loss 2.0255 (2.0259) Prec@1 45.625 (47.699) Prec@5 78.125 (78.213) Epoch: [53][9690/11272] Time 0.765 (0.808) Data 0.002 (0.002) Loss 2.0066 (2.0259) Prec@1 43.125 (47.699) Prec@5 80.625 (78.213) Epoch: [53][9700/11272] Time 0.911 (0.808) Data 0.002 (0.002) Loss 2.2186 (2.0260) Prec@1 43.125 (47.700) Prec@5 75.000 (78.211) Epoch: [53][9710/11272] Time 0.909 (0.808) Data 0.002 (0.002) Loss 1.7847 (2.0260) Prec@1 53.750 (47.699) Prec@5 80.625 (78.211) Epoch: [53][9720/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 1.8419 (2.0260) Prec@1 48.125 (47.699) Prec@5 80.000 (78.211) Epoch: [53][9730/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.0794 (2.0259) Prec@1 48.125 (47.700) Prec@5 79.375 (78.212) Epoch: [53][9740/11272] Time 0.880 (0.808) Data 0.001 (0.002) Loss 2.1462 (2.0260) Prec@1 41.875 (47.700) Prec@5 76.875 (78.212) Epoch: [53][9750/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 2.1277 (2.0260) Prec@1 45.000 (47.700) Prec@5 75.000 (78.212) Epoch: [53][9760/11272] Time 0.739 (0.808) Data 0.001 (0.002) Loss 1.9076 (2.0259) Prec@1 53.125 (47.700) Prec@5 76.250 (78.213) Epoch: [53][9770/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.3005 (2.0260) Prec@1 46.250 (47.700) Prec@5 70.000 (78.211) Epoch: [53][9780/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.1992 (2.0261) Prec@1 46.250 (47.698) Prec@5 74.375 (78.209) Epoch: [53][9790/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 1.7841 (2.0261) Prec@1 53.750 (47.696) Prec@5 85.625 (78.209) Epoch: [53][9800/11272] Time 0.782 (0.808) Data 0.002 (0.002) Loss 1.9502 (2.0261) Prec@1 48.125 (47.697) Prec@5 77.500 (78.209) Epoch: [53][9810/11272] Time 0.861 (0.808) Data 0.002 (0.002) Loss 2.2952 (2.0262) Prec@1 46.250 (47.695) Prec@5 68.125 (78.208) Epoch: [53][9820/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 1.9084 (2.0262) Prec@1 51.250 (47.694) Prec@5 80.000 (78.207) Epoch: [53][9830/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 2.2728 (2.0263) Prec@1 40.000 (47.694) Prec@5 76.875 (78.206) Epoch: [53][9840/11272] Time 0.789 (0.808) Data 0.002 (0.002) Loss 1.8515 (2.0263) Prec@1 50.000 (47.692) Prec@5 83.125 (78.205) Epoch: [53][9850/11272] Time 0.897 (0.808) Data 0.002 (0.002) Loss 2.2915 (2.0264) Prec@1 42.500 (47.691) Prec@5 73.125 (78.204) Epoch: [53][9860/11272] Time 0.907 (0.808) Data 0.002 (0.002) Loss 1.9803 (2.0264) Prec@1 46.250 (47.691) Prec@5 80.000 (78.203) Epoch: [53][9870/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 1.9945 (2.0265) Prec@1 50.000 (47.688) Prec@5 77.500 (78.204) Epoch: [53][9880/11272] Time 0.780 (0.808) Data 0.002 (0.002) Loss 1.9754 (2.0264) Prec@1 49.375 (47.689) Prec@5 81.250 (78.205) Epoch: [53][9890/11272] Time 0.917 (0.808) Data 0.002 (0.002) Loss 2.2636 (2.0265) Prec@1 43.125 (47.687) Prec@5 71.250 (78.204) Epoch: [53][9900/11272] Time 0.925 (0.808) Data 0.002 (0.002) Loss 1.9262 (2.0264) Prec@1 50.000 (47.688) Prec@5 80.625 (78.205) Epoch: [53][9910/11272] Time 0.788 (0.808) Data 0.002 (0.002) Loss 1.9526 (2.0265) Prec@1 45.625 (47.687) Prec@5 78.750 (78.204) Epoch: [53][9920/11272] Time 0.800 (0.808) Data 0.002 (0.002) Loss 1.8533 (2.0265) Prec@1 51.250 (47.687) Prec@5 80.000 (78.204) Epoch: [53][9930/11272] Time 0.827 (0.808) Data 0.001 (0.002) Loss 1.9827 (2.0265) Prec@1 50.625 (47.686) Prec@5 78.125 (78.204) Epoch: [53][9940/11272] Time 0.752 (0.808) Data 0.003 (0.002) Loss 1.9216 (2.0265) Prec@1 51.250 (47.686) Prec@5 80.000 (78.203) Epoch: [53][9950/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 1.9162 (2.0266) Prec@1 43.125 (47.684) Prec@5 84.375 (78.203) Epoch: [53][9960/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.0917 (2.0265) Prec@1 43.750 (47.683) Prec@5 73.125 (78.203) Epoch: [53][9970/11272] Time 0.831 (0.808) Data 0.001 (0.002) Loss 2.1987 (2.0265) Prec@1 43.750 (47.682) Prec@5 73.125 (78.203) Epoch: [53][9980/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 1.9229 (2.0264) Prec@1 49.375 (47.683) Prec@5 81.250 (78.206) Epoch: [53][9990/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 2.1013 (2.0265) Prec@1 48.125 (47.683) Prec@5 77.500 (78.205) Epoch: [53][10000/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 1.8673 (2.0264) Prec@1 45.625 (47.685) Prec@5 81.875 (78.206) Epoch: [53][10010/11272] Time 0.875 (0.808) Data 0.001 (0.002) Loss 2.2808 (2.0264) Prec@1 45.000 (47.686) Prec@5 74.375 (78.206) Epoch: [53][10020/11272] Time 0.820 (0.808) Data 0.002 (0.002) Loss 2.0520 (2.0265) Prec@1 50.000 (47.686) Prec@5 76.875 (78.205) Epoch: [53][10030/11272] Time 0.806 (0.808) Data 0.002 (0.002) Loss 2.0153 (2.0264) Prec@1 45.625 (47.685) Prec@5 80.000 (78.206) Epoch: [53][10040/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 2.0628 (2.0265) Prec@1 49.375 (47.684) Prec@5 77.500 (78.205) Epoch: [53][10050/11272] Time 0.830 (0.808) Data 0.001 (0.002) Loss 2.0944 (2.0264) Prec@1 45.625 (47.684) Prec@5 78.750 (78.205) Epoch: [53][10060/11272] Time 0.795 (0.808) Data 0.002 (0.002) Loss 1.7233 (2.0264) Prec@1 51.250 (47.684) Prec@5 84.375 (78.205) Epoch: [53][10070/11272] Time 0.911 (0.808) Data 0.002 (0.002) Loss 2.2408 (2.0264) Prec@1 43.125 (47.685) Prec@5 73.750 (78.205) Epoch: [53][10080/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.2693 (2.0264) Prec@1 45.625 (47.683) Prec@5 75.625 (78.203) Epoch: [53][10090/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.0486 (2.0265) Prec@1 50.625 (47.681) Prec@5 80.000 (78.203) Epoch: [53][10100/11272] Time 0.780 (0.808) Data 0.002 (0.002) Loss 1.8952 (2.0265) Prec@1 52.500 (47.680) Prec@5 81.250 (78.202) Epoch: [53][10110/11272] Time 0.881 (0.808) Data 0.002 (0.002) Loss 2.0930 (2.0266) Prec@1 46.250 (47.680) Prec@5 78.125 (78.201) Epoch: [53][10120/11272] Time 0.888 (0.808) Data 0.002 (0.002) Loss 2.0436 (2.0265) Prec@1 47.500 (47.681) Prec@5 81.875 (78.202) Epoch: [53][10130/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.1971 (2.0265) Prec@1 40.000 (47.680) Prec@5 75.625 (78.203) Epoch: [53][10140/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.0274 (2.0265) Prec@1 44.375 (47.677) Prec@5 76.875 (78.202) Epoch: [53][10150/11272] Time 0.874 (0.808) Data 0.002 (0.002) Loss 1.8551 (2.0264) Prec@1 51.875 (47.679) Prec@5 77.500 (78.204) Epoch: [53][10160/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 1.9331 (2.0264) Prec@1 50.625 (47.679) Prec@5 79.375 (78.204) Epoch: [53][10170/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 1.9645 (2.0264) Prec@1 48.750 (47.682) Prec@5 83.125 (78.204) Epoch: [53][10180/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.3068 (2.0265) Prec@1 39.375 (47.680) Prec@5 75.625 (78.204) Epoch: [53][10190/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.0892 (2.0265) Prec@1 48.125 (47.679) Prec@5 74.375 (78.203) Epoch: [53][10200/11272] Time 0.915 (0.808) Data 0.002 (0.002) Loss 1.9155 (2.0265) Prec@1 46.250 (47.678) Prec@5 81.250 (78.204) Epoch: [53][10210/11272] Time 0.793 (0.808) Data 0.002 (0.002) Loss 2.0964 (2.0265) Prec@1 45.000 (47.678) Prec@5 76.250 (78.204) Epoch: [53][10220/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.0083 (2.0265) Prec@1 41.875 (47.676) Prec@5 84.375 (78.205) Epoch: [53][10230/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 1.8458 (2.0265) Prec@1 46.875 (47.675) Prec@5 80.625 (78.205) Epoch: [53][10240/11272] Time 0.778 (0.808) Data 0.002 (0.002) Loss 1.9058 (2.0265) Prec@1 48.750 (47.674) Prec@5 78.750 (78.203) Epoch: [53][10250/11272] Time 0.726 (0.808) Data 0.002 (0.002) Loss 2.1259 (2.0265) Prec@1 43.125 (47.671) Prec@5 81.875 (78.202) Epoch: [53][10260/11272] Time 0.868 (0.808) Data 0.001 (0.002) Loss 1.8794 (2.0265) Prec@1 53.125 (47.673) Prec@5 73.125 (78.202) Epoch: [53][10270/11272] Time 0.887 (0.808) Data 0.001 (0.002) Loss 2.3122 (2.0265) Prec@1 44.375 (47.673) Prec@5 72.500 (78.202) Epoch: [53][10280/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 2.1510 (2.0265) Prec@1 41.875 (47.674) Prec@5 78.750 (78.203) Epoch: [53][10290/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 1.8065 (2.0264) Prec@1 51.875 (47.673) Prec@5 83.750 (78.203) Epoch: [53][10300/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 1.8397 (2.0264) Prec@1 51.250 (47.674) Prec@5 83.125 (78.203) Epoch: [53][10310/11272] Time 0.819 (0.809) Data 0.001 (0.002) Loss 1.9337 (2.0264) Prec@1 47.500 (47.674) Prec@5 77.500 (78.204) Epoch: [53][10320/11272] Time 0.782 (0.809) Data 0.002 (0.002) Loss 2.1171 (2.0264) Prec@1 46.875 (47.673) Prec@5 79.375 (78.205) Epoch: [53][10330/11272] Time 0.742 (0.809) Data 0.002 (0.002) Loss 2.2187 (2.0265) Prec@1 47.500 (47.673) Prec@5 74.375 (78.204) Epoch: [53][10340/11272] Time 0.867 (0.809) Data 0.001 (0.002) Loss 2.2541 (2.0266) Prec@1 42.500 (47.671) Prec@5 70.625 (78.202) Epoch: [53][10350/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.1591 (2.0266) Prec@1 43.750 (47.671) Prec@5 75.000 (78.201) Epoch: [53][10360/11272] Time 0.785 (0.809) Data 0.002 (0.002) Loss 1.8919 (2.0266) Prec@1 48.125 (47.671) Prec@5 78.125 (78.201) Epoch: [53][10370/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.0150 (2.0266) Prec@1 46.875 (47.671) Prec@5 79.375 (78.200) Epoch: [53][10380/11272] Time 0.950 (0.809) Data 0.002 (0.002) Loss 1.8447 (2.0267) Prec@1 50.000 (47.670) Prec@5 82.500 (78.200) Epoch: [53][10390/11272] Time 0.791 (0.809) Data 0.002 (0.002) Loss 2.2925 (2.0266) Prec@1 42.500 (47.670) Prec@5 75.000 (78.200) Epoch: [53][10400/11272] Time 0.809 (0.809) Data 0.002 (0.002) Loss 1.9020 (2.0266) Prec@1 50.000 (47.671) Prec@5 81.875 (78.200) Epoch: [53][10410/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 1.9092 (2.0266) Prec@1 46.875 (47.671) Prec@5 81.875 (78.201) Epoch: [53][10420/11272] Time 0.874 (0.809) Data 0.001 (0.002) Loss 1.9868 (2.0266) Prec@1 45.625 (47.670) Prec@5 80.625 (78.200) Epoch: [53][10430/11272] Time 0.727 (0.809) Data 0.003 (0.002) Loss 2.0963 (2.0266) Prec@1 47.500 (47.672) Prec@5 74.375 (78.198) Epoch: [53][10440/11272] Time 0.773 (0.809) Data 0.002 (0.002) Loss 2.2623 (2.0267) Prec@1 48.125 (47.670) Prec@5 76.250 (78.196) Epoch: [53][10450/11272] Time 0.833 (0.809) Data 0.002 (0.002) Loss 1.9599 (2.0268) Prec@1 46.875 (47.670) Prec@5 80.625 (78.197) Epoch: [53][10460/11272] Time 0.888 (0.809) Data 0.003 (0.002) Loss 2.1123 (2.0268) Prec@1 48.125 (47.670) Prec@5 75.625 (78.196) Epoch: [53][10470/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 2.1169 (2.0269) Prec@1 45.625 (47.668) Prec@5 79.375 (78.195) Epoch: [53][10480/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 1.9416 (2.0268) Prec@1 46.875 (47.669) Prec@5 77.500 (78.195) Epoch: [53][10490/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 2.0862 (2.0270) Prec@1 44.375 (47.666) Prec@5 76.875 (78.193) Epoch: [53][10500/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 2.1877 (2.0269) Prec@1 46.250 (47.668) Prec@5 71.875 (78.192) Epoch: [53][10510/11272] Time 0.729 (0.809) Data 0.001 (0.002) Loss 2.1987 (2.0270) Prec@1 44.375 (47.667) Prec@5 73.125 (78.190) Epoch: [53][10520/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.0572 (2.0270) Prec@1 45.625 (47.666) Prec@5 77.500 (78.190) Epoch: [53][10530/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 2.1357 (2.0271) Prec@1 41.875 (47.664) Prec@5 78.750 (78.189) Epoch: [53][10540/11272] Time 0.768 (0.809) Data 0.002 (0.002) Loss 2.0342 (2.0272) Prec@1 45.625 (47.662) Prec@5 78.125 (78.189) Epoch: [53][10550/11272] Time 0.795 (0.809) Data 0.002 (0.002) Loss 1.9997 (2.0272) Prec@1 44.375 (47.660) Prec@5 81.875 (78.189) Epoch: [53][10560/11272] Time 0.910 (0.809) Data 0.002 (0.002) Loss 2.0129 (2.0272) Prec@1 48.125 (47.660) Prec@5 81.250 (78.187) Epoch: [53][10570/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.0019 (2.0272) Prec@1 47.500 (47.659) Prec@5 79.375 (78.188) Epoch: [53][10580/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.1430 (2.0272) Prec@1 50.625 (47.660) Prec@5 73.750 (78.187) Epoch: [53][10590/11272] Time 0.775 (0.809) Data 0.002 (0.002) Loss 1.9760 (2.0273) Prec@1 46.875 (47.660) Prec@5 80.000 (78.186) Epoch: [53][10600/11272] Time 0.882 (0.809) Data 0.001 (0.002) Loss 2.1915 (2.0273) Prec@1 45.000 (47.659) Prec@5 71.875 (78.186) Epoch: [53][10610/11272] Time 0.786 (0.809) Data 0.004 (0.002) Loss 2.0513 (2.0272) Prec@1 45.625 (47.662) Prec@5 73.125 (78.187) Epoch: [53][10620/11272] Time 0.781 (0.809) Data 0.002 (0.002) Loss 2.0632 (2.0273) Prec@1 49.375 (47.661) Prec@5 76.875 (78.187) Epoch: [53][10630/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 2.2160 (2.0272) Prec@1 48.750 (47.662) Prec@5 71.250 (78.189) Epoch: [53][10640/11272] Time 0.930 (0.809) Data 0.002 (0.002) Loss 1.9854 (2.0271) Prec@1 55.000 (47.663) Prec@5 80.000 (78.191) Epoch: [53][10650/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 1.9639 (2.0271) Prec@1 51.250 (47.665) Prec@5 78.125 (78.191) Epoch: [53][10660/11272] Time 0.763 (0.809) Data 0.002 (0.002) Loss 1.8294 (2.0271) Prec@1 48.125 (47.663) Prec@5 76.875 (78.190) Epoch: [53][10670/11272] Time 0.835 (0.809) Data 0.001 (0.002) Loss 2.0609 (2.0272) Prec@1 46.250 (47.662) Prec@5 76.250 (78.188) Epoch: [53][10680/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 1.8122 (2.0273) Prec@1 49.375 (47.661) Prec@5 80.625 (78.186) Epoch: [53][10690/11272] Time 0.775 (0.809) Data 0.002 (0.002) Loss 1.9919 (2.0272) Prec@1 45.625 (47.661) Prec@5 78.750 (78.188) Epoch: [53][10700/11272] Time 0.727 (0.809) Data 0.002 (0.002) Loss 2.0780 (2.0271) Prec@1 47.500 (47.662) Prec@5 77.500 (78.189) Epoch: [53][10710/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 2.0808 (2.0272) Prec@1 52.500 (47.664) Prec@5 78.750 (78.188) Epoch: [53][10720/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 1.6867 (2.0271) Prec@1 55.000 (47.666) Prec@5 81.875 (78.189) Epoch: [53][10730/11272] Time 0.788 (0.809) Data 0.002 (0.002) Loss 2.1268 (2.0271) Prec@1 43.750 (47.667) Prec@5 75.625 (78.190) Epoch: [53][10740/11272] Time 0.898 (0.809) Data 0.002 (0.002) Loss 1.9723 (2.0271) Prec@1 49.375 (47.667) Prec@5 79.375 (78.190) Epoch: [53][10750/11272] Time 0.934 (0.809) Data 0.002 (0.002) Loss 1.7426 (2.0270) Prec@1 55.625 (47.669) Prec@5 82.500 (78.190) Epoch: [53][10760/11272] Time 0.746 (0.809) Data 0.001 (0.002) Loss 2.0681 (2.0271) Prec@1 46.875 (47.667) Prec@5 75.625 (78.189) Epoch: [53][10770/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.0297 (2.0271) Prec@1 47.500 (47.666) Prec@5 80.000 (78.187) Epoch: [53][10780/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.0682 (2.0272) Prec@1 44.375 (47.665) Prec@5 76.875 (78.188) Epoch: [53][10790/11272] Time 0.842 (0.809) Data 0.001 (0.002) Loss 1.9298 (2.0271) Prec@1 45.625 (47.666) Prec@5 81.250 (78.189) Epoch: [53][10800/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.2779 (2.0272) Prec@1 45.625 (47.666) Prec@5 71.250 (78.188) Epoch: [53][10810/11272] Time 0.788 (0.809) Data 0.002 (0.002) Loss 2.0505 (2.0271) Prec@1 48.125 (47.665) Prec@5 78.125 (78.190) Epoch: [53][10820/11272] Time 0.865 (0.809) Data 0.002 (0.002) Loss 2.1722 (2.0272) Prec@1 50.625 (47.665) Prec@5 72.500 (78.188) Epoch: [53][10830/11272] Time 0.872 (0.809) Data 0.002 (0.002) Loss 1.8276 (2.0271) Prec@1 52.500 (47.666) Prec@5 81.250 (78.187) Epoch: [53][10840/11272] Time 0.788 (0.809) Data 0.002 (0.002) Loss 1.8855 (2.0272) Prec@1 48.125 (47.665) Prec@5 81.250 (78.186) Epoch: [53][10850/11272] Time 0.784 (0.809) Data 0.002 (0.002) Loss 1.9930 (2.0272) Prec@1 47.500 (47.664) Prec@5 84.375 (78.186) Epoch: [53][10860/11272] Time 0.884 (0.809) Data 0.002 (0.002) Loss 1.8862 (2.0272) Prec@1 50.625 (47.666) Prec@5 82.500 (78.186) Epoch: [53][10870/11272] Time 0.744 (0.809) Data 0.003 (0.002) Loss 2.1604 (2.0271) Prec@1 45.000 (47.667) Prec@5 78.750 (78.188) Epoch: [53][10880/11272] Time 0.728 (0.809) Data 0.005 (0.002) Loss 2.0956 (2.0271) Prec@1 47.500 (47.667) Prec@5 75.000 (78.189) Epoch: [53][10890/11272] Time 0.842 (0.809) Data 0.001 (0.002) Loss 2.4333 (2.0272) Prec@1 40.625 (47.666) Prec@5 71.250 (78.187) Epoch: [53][10900/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 2.1371 (2.0272) Prec@1 45.000 (47.666) Prec@5 76.250 (78.187) Epoch: [53][10910/11272] Time 0.773 (0.809) Data 0.002 (0.002) Loss 2.1195 (2.0272) Prec@1 46.250 (47.664) Prec@5 77.500 (78.187) Epoch: [53][10920/11272] Time 0.783 (0.809) Data 0.002 (0.002) Loss 2.0459 (2.0273) Prec@1 48.125 (47.662) Prec@5 75.625 (78.185) Epoch: [53][10930/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 1.9879 (2.0273) Prec@1 48.125 (47.663) Prec@5 80.000 (78.185) Epoch: [53][10940/11272] Time 0.902 (0.809) Data 0.002 (0.002) Loss 2.0453 (2.0273) Prec@1 45.000 (47.663) Prec@5 79.375 (78.185) Epoch: [53][10950/11272] Time 0.785 (0.809) Data 0.002 (0.002) Loss 1.8433 (2.0273) Prec@1 51.875 (47.663) Prec@5 79.375 (78.185) Epoch: [53][10960/11272] Time 0.792 (0.809) Data 0.002 (0.002) Loss 2.0572 (2.0273) Prec@1 48.125 (47.662) Prec@5 83.125 (78.185) Epoch: [53][10970/11272] Time 0.899 (0.809) Data 0.001 (0.002) Loss 1.9562 (2.0273) Prec@1 48.125 (47.663) Prec@5 82.500 (78.186) Epoch: [53][10980/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 2.2651 (2.0273) Prec@1 45.625 (47.664) Prec@5 74.375 (78.186) Epoch: [53][10990/11272] Time 0.818 (0.809) Data 0.001 (0.002) Loss 2.2219 (2.0273) Prec@1 44.375 (47.663) Prec@5 75.000 (78.186) Epoch: [53][11000/11272] Time 0.903 (0.809) Data 0.003 (0.002) Loss 2.0458 (2.0274) Prec@1 48.125 (47.661) Prec@5 77.500 (78.185) Epoch: [53][11010/11272] Time 0.858 (0.809) Data 0.001 (0.002) Loss 2.1126 (2.0274) Prec@1 43.750 (47.659) Prec@5 76.250 (78.185) Epoch: [53][11020/11272] Time 0.740 (0.809) Data 0.001 (0.002) Loss 1.9388 (2.0274) Prec@1 53.750 (47.661) Prec@5 82.500 (78.187) Epoch: [53][11030/11272] Time 0.787 (0.809) Data 0.002 (0.002) Loss 2.0757 (2.0274) Prec@1 47.500 (47.660) Prec@5 78.750 (78.186) Epoch: [53][11040/11272] Time 0.942 (0.809) Data 0.002 (0.002) Loss 2.0707 (2.0275) Prec@1 48.125 (47.659) Prec@5 77.500 (78.185) Epoch: [53][11050/11272] Time 0.911 (0.809) Data 0.001 (0.002) Loss 1.9680 (2.0274) Prec@1 48.125 (47.660) Prec@5 78.125 (78.186) Epoch: [53][11060/11272] Time 0.783 (0.809) Data 0.002 (0.002) Loss 2.1789 (2.0275) Prec@1 45.000 (47.658) Prec@5 75.000 (78.185) Epoch: [53][11070/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 1.9136 (2.0275) Prec@1 48.125 (47.659) Prec@5 78.125 (78.186) Epoch: [53][11080/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.1584 (2.0275) Prec@1 46.875 (47.660) Prec@5 79.375 (78.185) Epoch: [53][11090/11272] Time 0.926 (0.809) Data 0.002 (0.002) Loss 2.0129 (2.0274) Prec@1 45.625 (47.661) Prec@5 81.250 (78.187) Epoch: [53][11100/11272] Time 0.733 (0.809) Data 0.002 (0.002) Loss 2.1991 (2.0274) Prec@1 45.625 (47.661) Prec@5 73.125 (78.187) Epoch: [53][11110/11272] Time 0.773 (0.809) Data 0.001 (0.002) Loss 1.8697 (2.0274) Prec@1 46.875 (47.660) Prec@5 78.750 (78.188) Epoch: [53][11120/11272] Time 0.888 (0.809) Data 0.002 (0.002) Loss 2.4089 (2.0275) Prec@1 36.875 (47.658) Prec@5 71.875 (78.187) Epoch: [53][11130/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.1314 (2.0275) Prec@1 50.000 (47.657) Prec@5 72.500 (78.186) Epoch: [53][11140/11272] Time 0.779 (0.809) Data 0.002 (0.002) Loss 2.0057 (2.0276) Prec@1 46.250 (47.656) Prec@5 77.500 (78.185) Epoch: [53][11150/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 2.1900 (2.0276) Prec@1 40.000 (47.655) Prec@5 75.000 (78.184) Epoch: [53][11160/11272] Time 0.931 (0.809) Data 0.002 (0.002) Loss 1.9537 (2.0276) Prec@1 50.625 (47.656) Prec@5 80.000 (78.183) Epoch: [53][11170/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.1831 (2.0277) Prec@1 48.750 (47.654) Prec@5 75.625 (78.183) Epoch: [53][11180/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.0195 (2.0277) Prec@1 46.875 (47.655) Prec@5 73.750 (78.182) Epoch: [53][11190/11272] Time 0.894 (0.809) Data 0.001 (0.002) Loss 1.9793 (2.0277) Prec@1 50.625 (47.655) Prec@5 76.875 (78.181) Epoch: [53][11200/11272] Time 0.884 (0.809) Data 0.002 (0.002) Loss 2.0941 (2.0277) Prec@1 49.375 (47.655) Prec@5 80.000 (78.181) Epoch: [53][11210/11272] Time 0.728 (0.809) Data 0.002 (0.002) Loss 1.9865 (2.0278) Prec@1 45.625 (47.654) Prec@5 75.625 (78.180) Epoch: [53][11220/11272] Time 0.770 (0.809) Data 0.003 (0.002) Loss 2.0382 (2.0278) Prec@1 46.250 (47.653) Prec@5 81.250 (78.180) Epoch: [53][11230/11272] Time 0.850 (0.810) Data 0.001 (0.002) Loss 2.4426 (2.0279) Prec@1 37.500 (47.652) Prec@5 70.625 (78.179) Epoch: [53][11240/11272] Time 0.897 (0.810) Data 0.002 (0.002) Loss 2.1773 (2.0279) Prec@1 43.125 (47.650) Prec@5 75.000 (78.177) Epoch: [53][11250/11272] Time 0.736 (0.810) Data 0.002 (0.002) Loss 2.1523 (2.0280) Prec@1 44.375 (47.649) Prec@5 78.750 (78.177) Epoch: [53][11260/11272] Time 0.786 (0.810) Data 0.002 (0.002) Loss 1.7460 (2.0279) Prec@1 56.875 (47.650) Prec@5 81.875 (78.177) Epoch: [53][11270/11272] Time 0.810 (0.810) Data 0.000 (0.002) Loss 2.0609 (2.0279) Prec@1 50.625 (47.652) Prec@5 78.750 (78.176) Test: [0/229] Time 2.111 (2.111) Loss 1.0634 (1.0634) Prec@1 61.875 (61.875) Prec@5 95.625 (95.625) Test: [10/229] Time 0.336 (0.540) Loss 1.2074 (1.6555) Prec@1 61.250 (54.375) Prec@5 96.875 (86.420) Test: [20/229] Time 0.394 (0.467) Loss 1.9444 (1.7930) Prec@1 52.500 (51.190) Prec@5 82.500 (83.869) Test: [30/229] Time 0.416 (0.439) Loss 2.2599 (1.7199) Prec@1 40.000 (54.052) Prec@5 79.375 (84.718) Test: [40/229] Time 0.296 (0.421) Loss 0.4213 (1.7120) Prec@1 93.750 (54.253) Prec@5 95.625 (84.573) Test: [50/229] Time 0.381 (0.416) Loss 2.2541 (1.7640) Prec@1 36.875 (53.100) Prec@5 77.500 (83.419) Test: [60/229] Time 0.351 (0.407) Loss 2.1637 (1.7416) Prec@1 38.750 (53.555) Prec@5 78.125 (83.668) Test: [70/229] Time 0.387 (0.402) Loss 1.1616 (1.7493) Prec@1 71.875 (53.521) Prec@5 88.750 (83.583) Test: [80/229] Time 0.350 (0.399) Loss 2.3274 (1.7711) Prec@1 32.500 (52.863) Prec@5 77.500 (83.573) Test: [90/229] Time 0.340 (0.397) Loss 1.4265 (1.7840) Prec@1 60.000 (52.445) Prec@5 86.250 (83.510) Test: [100/229] Time 0.401 (0.394) Loss 2.2482 (1.7698) Prec@1 43.750 (52.921) Prec@5 80.625 (83.775) Test: [110/229] Time 0.456 (0.393) Loss 1.5740 (1.7505) Prec@1 54.375 (53.294) Prec@5 84.375 (84.015) Test: [120/229] Time 0.388 (0.391) Loss 2.7380 (1.7717) Prec@1 28.750 (52.614) Prec@5 72.500 (83.740) Test: [130/229] Time 0.332 (0.389) Loss 1.5223 (1.7520) Prec@1 55.000 (52.958) Prec@5 86.250 (83.979) Test: [140/229] Time 0.368 (0.388) Loss 1.9342 (1.7714) Prec@1 43.125 (52.456) Prec@5 80.000 (83.701) Test: [150/229] Time 0.337 (0.386) Loss 1.1078 (1.7855) Prec@1 75.000 (52.061) Prec@5 86.875 (83.518) Test: [160/229] Time 0.325 (0.385) Loss 2.1992 (1.7918) Prec@1 43.125 (51.797) Prec@5 79.375 (83.439) Test: [170/229] Time 0.428 (0.385) Loss 1.7825 (1.7977) Prec@1 51.250 (51.561) Prec@5 85.000 (83.432) Test: [180/229] Time 0.332 (0.384) Loss 2.3635 (1.8058) Prec@1 27.500 (51.512) Prec@5 76.875 (83.305) Test: [190/229] Time 0.485 (0.384) Loss 1.5501 (1.7974) Prec@1 53.125 (51.721) Prec@5 90.625 (83.403) Test: [200/229] Time 0.343 (0.384) Loss 2.0288 (1.7890) Prec@1 43.750 (51.903) Prec@5 76.250 (83.567) Test: [210/229] Time 0.401 (0.383) Loss 1.2431 (1.7824) Prec@1 57.500 (52.047) Prec@5 93.750 (83.691) Test: [220/229] Time 0.406 (0.383) Loss 1.8669 (1.7720) Prec@1 46.875 (52.404) Prec@5 83.750 (83.739) * Prec@1 52.728 Prec@5 83.803 Epoch: [54][0/11272] Time 3.992 (3.992) Data 2.978 (2.978) Loss 2.0819 (2.0819) Prec@1 53.125 (53.125) Prec@5 77.500 (77.500) Epoch: [54][10/11272] Time 0.924 (1.112) Data 0.002 (0.272) Loss 2.0009 (1.9667) Prec@1 45.625 (49.261) Prec@5 78.750 (80.057) Epoch: [54][20/11272] Time 0.730 (0.964) Data 0.001 (0.144) Loss 2.0238 (1.9814) Prec@1 50.625 (48.958) Prec@5 73.750 (78.899) Epoch: [54][30/11272] Time 0.785 (0.918) Data 0.002 (0.098) Loss 2.1596 (1.9957) Prec@1 43.125 (47.944) Prec@5 75.625 (78.851) Epoch: [54][40/11272] Time 0.872 (0.895) Data 0.002 (0.074) Loss 2.0126 (2.0004) Prec@1 50.000 (48.247) Prec@5 78.750 (78.720) Epoch: [54][50/11272] Time 0.865 (0.880) Data 0.002 (0.060) Loss 1.9903 (2.0049) Prec@1 46.875 (48.113) Prec@5 78.125 (78.615) Epoch: [54][60/11272] Time 0.749 (0.869) Data 0.002 (0.050) Loss 1.7992 (1.9949) Prec@1 51.875 (48.074) Prec@5 81.250 (78.617) Epoch: [54][70/11272] Time 0.927 (0.863) Data 0.002 (0.044) Loss 2.1983 (1.9945) Prec@1 45.000 (48.283) Prec@5 75.000 (78.715) Epoch: [54][80/11272] Time 0.839 (0.856) Data 0.001 (0.038) Loss 1.9824 (2.0000) Prec@1 44.375 (48.071) Prec@5 78.750 (78.619) Epoch: [54][90/11272] Time 0.744 (0.851) Data 0.002 (0.034) Loss 2.1574 (2.0016) Prec@1 42.500 (47.953) Prec@5 73.125 (78.510) Epoch: [54][100/11272] Time 0.765 (0.846) Data 0.002 (0.031) Loss 1.9742 (1.9988) Prec@1 50.000 (48.051) Prec@5 76.250 (78.552) Epoch: [54][110/11272] Time 0.825 (0.843) Data 0.001 (0.029) Loss 1.8608 (1.9918) Prec@1 52.500 (48.288) Prec@5 82.500 (78.739) Epoch: [54][120/11272] Time 0.847 (0.840) Data 0.002 (0.026) Loss 1.7428 (1.9966) Prec@1 53.750 (48.208) Prec@5 81.250 (78.786) Epoch: [54][130/11272] Time 0.741 (0.837) Data 0.001 (0.024) Loss 1.9145 (1.9937) Prec@1 45.625 (48.211) Prec@5 78.750 (78.793) Epoch: [54][140/11272] Time 0.745 (0.836) Data 0.002 (0.023) Loss 2.3248 (1.9969) Prec@1 40.000 (48.191) Prec@5 70.625 (78.701) Epoch: [54][150/11272] Time 0.906 (0.836) Data 0.002 (0.021) Loss 1.7043 (1.9984) Prec@1 53.750 (48.191) Prec@5 83.125 (78.630) Epoch: [54][160/11272] Time 0.879 (0.834) Data 0.002 (0.020) Loss 2.1204 (1.9951) Prec@1 46.875 (48.269) Prec@5 78.125 (78.719) Epoch: [54][170/11272] Time 0.735 (0.833) Data 0.001 (0.019) Loss 2.2015 (1.9917) Prec@1 45.625 (48.370) Prec@5 74.375 (78.808) Epoch: [54][180/11272] Time 0.751 (0.831) Data 0.002 (0.018) Loss 1.7516 (1.9901) Prec@1 55.625 (48.508) Prec@5 83.125 (78.812) Epoch: [54][190/11272] Time 0.914 (0.831) Data 0.002 (0.017) Loss 1.5831 (1.9871) Prec@1 54.375 (48.573) Prec@5 85.000 (78.851) Epoch: [54][200/11272] Time 0.728 (0.829) Data 0.003 (0.017) Loss 1.9381 (1.9859) Prec@1 49.375 (48.623) Prec@5 80.000 (78.874) Epoch: [54][210/11272] Time 0.741 (0.828) Data 0.001 (0.016) Loss 1.9804 (1.9850) Prec@1 50.000 (48.617) Prec@5 79.375 (78.904) Epoch: [54][220/11272] Time 0.831 (0.827) Data 0.002 (0.015) Loss 1.8447 (1.9829) Prec@1 48.125 (48.640) Prec@5 80.000 (78.917) Epoch: [54][230/11272] Time 0.862 (0.828) Data 0.002 (0.015) Loss 1.8985 (1.9855) Prec@1 53.750 (48.517) Prec@5 80.000 (78.877) Epoch: [54][240/11272] Time 0.747 (0.827) Data 0.002 (0.014) Loss 2.1116 (1.9885) Prec@1 45.000 (48.449) Prec@5 76.250 (78.815) Epoch: [54][250/11272] Time 0.787 (0.826) Data 0.002 (0.014) Loss 1.9100 (1.9903) Prec@1 52.500 (48.444) Prec@5 79.375 (78.777) Epoch: [54][260/11272] Time 0.883 (0.826) Data 0.002 (0.013) Loss 2.0168 (1.9926) Prec@1 51.250 (48.384) Prec@5 78.750 (78.736) Epoch: [54][270/11272] Time 0.870 (0.826) Data 0.002 (0.013) Loss 1.9302 (1.9920) Prec@1 47.500 (48.386) Prec@5 80.625 (78.748) Epoch: [54][280/11272] Time 0.724 (0.825) Data 0.002 (0.012) Loss 2.0157 (1.9927) Prec@1 48.125 (48.343) Prec@5 77.500 (78.757) Epoch: [54][290/11272] Time 0.770 (0.825) Data 0.002 (0.012) Loss 2.0480 (1.9956) Prec@1 47.500 (48.342) Prec@5 76.250 (78.739) Epoch: [54][300/11272] Time 0.920 (0.825) Data 0.002 (0.012) Loss 1.9111 (1.9935) Prec@1 48.125 (48.351) Prec@5 82.500 (78.785) Epoch: [54][310/11272] Time 0.862 (0.825) Data 0.002 (0.011) Loss 1.9360 (1.9951) Prec@1 48.125 (48.342) Prec@5 80.625 (78.736) Epoch: [54][320/11272] Time 0.802 (0.824) Data 0.002 (0.011) Loss 1.7536 (1.9944) Prec@1 51.875 (48.386) Prec@5 83.750 (78.744) Epoch: [54][330/11272] Time 0.918 (0.824) Data 0.002 (0.011) Loss 2.1787 (1.9949) Prec@1 38.125 (48.321) Prec@5 78.125 (78.744) Epoch: [54][340/11272] Time 0.864 (0.824) Data 0.002 (0.010) Loss 2.0994 (1.9935) Prec@1 44.375 (48.308) Prec@5 75.000 (78.768) Epoch: [54][350/11272] Time 0.754 (0.823) Data 0.002 (0.010) Loss 1.8941 (1.9911) Prec@1 51.875 (48.362) Prec@5 80.000 (78.795) Epoch: [54][360/11272] Time 0.725 (0.823) Data 0.002 (0.010) Loss 1.8464 (1.9902) Prec@1 51.875 (48.364) Prec@5 81.875 (78.812) Epoch: [54][370/11272] Time 0.880 (0.823) Data 0.002 (0.010) Loss 2.1544 (1.9899) Prec@1 44.375 (48.351) Prec@5 76.250 (78.829) Epoch: [54][380/11272] Time 0.865 (0.823) Data 0.002 (0.010) Loss 2.0454 (1.9899) Prec@1 46.875 (48.340) Prec@5 78.125 (78.830) Epoch: [54][390/11272] Time 0.712 (0.822) Data 0.002 (0.009) Loss 1.8873 (1.9902) Prec@1 50.000 (48.318) Prec@5 80.625 (78.846) Epoch: [54][400/11272] Time 0.753 (0.822) Data 0.002 (0.009) Loss 1.8365 (1.9898) Prec@1 53.750 (48.309) Prec@5 78.750 (78.836) Epoch: [54][410/11272] Time 0.912 (0.822) Data 0.002 (0.009) Loss 1.8816 (1.9915) Prec@1 48.125 (48.271) Prec@5 80.000 (78.796) Epoch: [54][420/11272] Time 0.858 (0.822) Data 0.001 (0.009) Loss 1.8529 (1.9917) Prec@1 52.500 (48.285) Prec@5 80.000 (78.781) Epoch: [54][430/11272] Time 0.754 (0.822) Data 0.002 (0.009) Loss 1.9768 (1.9912) Prec@1 46.875 (48.299) Prec@5 76.875 (78.791) Epoch: [54][440/11272] Time 0.796 (0.821) Data 0.002 (0.008) Loss 2.0567 (1.9916) Prec@1 44.375 (48.285) Prec@5 76.875 (78.793) Epoch: [54][450/11272] Time 0.832 (0.821) Data 0.002 (0.008) Loss 1.8901 (1.9928) Prec@1 46.875 (48.276) Prec@5 83.125 (78.768) Epoch: [54][460/11272] Time 0.842 (0.821) Data 0.002 (0.008) Loss 2.0223 (1.9933) Prec@1 46.250 (48.266) Prec@5 80.000 (78.774) Epoch: [54][470/11272] Time 0.747 (0.821) Data 0.002 (0.008) Loss 2.0472 (1.9927) Prec@1 43.750 (48.255) Prec@5 75.000 (78.765) Epoch: [54][480/11272] Time 0.880 (0.820) Data 0.002 (0.008) Loss 2.0926 (1.9928) Prec@1 45.000 (48.239) Prec@5 77.500 (78.769) Epoch: [54][490/11272] Time 0.948 (0.820) Data 0.002 (0.008) Loss 2.2310 (1.9942) Prec@1 38.125 (48.205) Prec@5 73.750 (78.727) Epoch: [54][500/11272] Time 0.749 (0.820) Data 0.002 (0.008) Loss 1.9843 (1.9941) Prec@1 46.250 (48.212) Prec@5 78.750 (78.714) Epoch: [54][510/11272] Time 0.731 (0.819) Data 0.002 (0.008) Loss 1.8572 (1.9951) Prec@1 51.875 (48.189) Prec@5 83.750 (78.699) Epoch: [54][520/11272] Time 0.816 (0.819) Data 0.001 (0.007) Loss 2.0806 (1.9948) Prec@1 47.500 (48.186) Prec@5 78.750 (78.712) Epoch: [54][530/11272] Time 0.918 (0.819) Data 0.002 (0.007) Loss 2.2695 (1.9968) Prec@1 42.500 (48.176) Prec@5 71.875 (78.650) Epoch: [54][540/11272] Time 0.748 (0.819) Data 0.001 (0.007) Loss 1.8173 (1.9971) Prec@1 50.000 (48.171) Prec@5 81.875 (78.651) Epoch: [54][550/11272] Time 0.763 (0.819) Data 0.002 (0.007) Loss 1.7813 (1.9964) Prec@1 51.875 (48.159) Prec@5 84.375 (78.659) Epoch: [54][560/11272] Time 0.827 (0.819) Data 0.001 (0.007) Loss 1.9308 (1.9984) Prec@1 51.875 (48.125) Prec@5 76.250 (78.597) Epoch: [54][570/11272] Time 0.867 (0.819) Data 0.002 (0.007) Loss 1.9001 (1.9981) Prec@1 54.375 (48.132) Prec@5 80.000 (78.613) Epoch: [54][580/11272] Time 0.727 (0.818) Data 0.002 (0.007) Loss 1.9087 (1.9978) Prec@1 45.625 (48.164) Prec@5 81.250 (78.631) Epoch: [54][590/11272] Time 0.777 (0.818) Data 0.002 (0.007) Loss 1.8397 (1.9966) Prec@1 53.125 (48.193) Prec@5 79.375 (78.651) Epoch: [54][600/11272] Time 0.900 (0.818) Data 0.002 (0.007) Loss 1.9153 (1.9962) Prec@1 47.500 (48.195) Prec@5 78.750 (78.666) Epoch: [54][610/11272] Time 0.764 (0.818) Data 0.002 (0.007) Loss 1.9283 (1.9979) Prec@1 50.000 (48.143) Prec@5 78.125 (78.656) Epoch: [54][620/11272] Time 0.793 (0.818) Data 0.002 (0.007) Loss 1.9186 (1.9985) Prec@1 47.500 (48.150) Prec@5 76.250 (78.626) Epoch: [54][630/11272] Time 0.823 (0.818) Data 0.002 (0.006) Loss 2.1677 (2.0000) Prec@1 41.250 (48.119) Prec@5 78.125 (78.612) Epoch: [54][640/11272] Time 0.874 (0.818) Data 0.002 (0.006) Loss 2.1220 (1.9993) Prec@1 45.625 (48.149) Prec@5 74.375 (78.631) Epoch: [54][650/11272] Time 0.764 (0.817) Data 0.002 (0.006) Loss 2.0138 (1.9992) Prec@1 48.125 (48.145) Prec@5 78.750 (78.617) Epoch: [54][660/11272] Time 0.722 (0.817) Data 0.001 (0.006) Loss 1.8395 (1.9991) Prec@1 50.000 (48.173) Prec@5 80.000 (78.613) Epoch: [54][670/11272] Time 0.920 (0.817) Data 0.002 (0.006) Loss 2.2609 (2.0007) Prec@1 43.750 (48.132) Prec@5 76.875 (78.598) Epoch: [54][680/11272] Time 0.848 (0.817) Data 0.002 (0.006) Loss 1.8271 (2.0011) Prec@1 53.125 (48.113) Prec@5 81.250 (78.584) Epoch: [54][690/11272] Time 0.814 (0.817) Data 0.002 (0.006) Loss 1.9936 (2.0018) Prec@1 48.125 (48.095) Prec@5 81.250 (78.588) Epoch: [54][700/11272] Time 0.769 (0.817) Data 0.002 (0.006) Loss 1.7858 (2.0006) Prec@1 50.625 (48.099) Prec@5 81.875 (78.606) Epoch: [54][710/11272] Time 0.887 (0.817) Data 0.001 (0.006) Loss 1.9091 (2.0013) Prec@1 46.875 (48.064) Prec@5 82.500 (78.595) Epoch: [54][720/11272] Time 0.853 (0.817) Data 0.002 (0.006) Loss 2.1009 (2.0023) Prec@1 49.375 (48.041) Prec@5 76.250 (78.570) Epoch: [54][730/11272] Time 0.761 (0.817) Data 0.002 (0.006) Loss 1.9932 (2.0027) Prec@1 43.125 (48.024) Prec@5 80.000 (78.573) Epoch: [54][740/11272] Time 0.835 (0.817) Data 0.002 (0.006) Loss 2.1971 (2.0028) Prec@1 42.500 (48.026) Prec@5 73.750 (78.570) Epoch: [54][750/11272] Time 0.888 (0.817) Data 0.002 (0.006) Loss 1.8792 (2.0017) Prec@1 51.250 (48.053) Prec@5 80.625 (78.603) Epoch: [54][760/11272] Time 0.732 (0.816) Data 0.001 (0.006) Loss 1.9529 (2.0023) Prec@1 48.125 (48.068) Prec@5 79.375 (78.597) Epoch: [54][770/11272] Time 0.779 (0.816) Data 0.002 (0.006) Loss 1.7760 (2.0025) Prec@1 58.125 (48.066) Prec@5 82.500 (78.607) Epoch: [54][780/11272] Time 0.877 (0.816) Data 0.002 (0.006) Loss 2.1699 (2.0019) Prec@1 40.000 (48.063) Prec@5 79.375 (78.613) Epoch: [54][790/11272] Time 0.874 (0.816) Data 0.001 (0.005) Loss 1.7351 (2.0028) Prec@1 49.375 (48.048) Prec@5 85.000 (78.596) Epoch: [54][800/11272] Time 0.738 (0.816) Data 0.002 (0.005) Loss 2.0084 (2.0027) Prec@1 49.375 (48.054) Prec@5 76.250 (78.599) Epoch: [54][810/11272] Time 0.750 (0.816) Data 0.002 (0.005) Loss 1.9046 (2.0026) Prec@1 46.250 (48.057) Prec@5 83.750 (78.600) Epoch: [54][820/11272] Time 0.834 (0.816) Data 0.001 (0.005) Loss 2.1485 (2.0038) Prec@1 42.500 (48.044) Prec@5 76.250 (78.567) Epoch: [54][830/11272] Time 0.873 (0.816) Data 0.002 (0.005) Loss 1.8093 (2.0031) Prec@1 53.125 (48.051) Prec@5 80.000 (78.585) Epoch: [54][840/11272] Time 0.749 (0.816) Data 0.002 (0.005) Loss 1.8685 (2.0039) Prec@1 51.875 (48.036) Prec@5 83.125 (78.575) Epoch: [54][850/11272] Time 0.752 (0.816) Data 0.002 (0.005) Loss 2.1094 (2.0044) Prec@1 43.125 (48.022) Prec@5 75.625 (78.560) Epoch: [54][860/11272] Time 0.874 (0.816) Data 0.002 (0.005) Loss 2.2018 (2.0053) Prec@1 47.500 (48.003) Prec@5 73.125 (78.541) Epoch: [54][870/11272] Time 0.730 (0.816) Data 0.004 (0.005) Loss 1.8154 (2.0054) Prec@1 51.875 (48.009) Prec@5 81.875 (78.535) Epoch: [54][880/11272] Time 0.746 (0.816) Data 0.002 (0.005) Loss 1.8543 (2.0045) Prec@1 52.500 (48.029) Prec@5 82.500 (78.548) Epoch: [54][890/11272] Time 0.932 (0.816) Data 0.002 (0.005) Loss 2.0652 (2.0048) Prec@1 44.375 (48.019) Prec@5 70.625 (78.538) Epoch: [54][900/11272] Time 0.854 (0.816) Data 0.002 (0.005) Loss 2.0900 (2.0042) Prec@1 45.625 (48.023) Prec@5 80.000 (78.553) Epoch: [54][910/11272] Time 0.754 (0.816) Data 0.002 (0.005) Loss 1.7754 (2.0046) Prec@1 53.125 (48.016) Prec@5 83.750 (78.546) Epoch: [54][920/11272] Time 0.755 (0.816) Data 0.002 (0.005) Loss 2.1594 (2.0041) Prec@1 46.875 (48.035) Prec@5 76.250 (78.549) Epoch: [54][930/11272] Time 0.845 (0.816) Data 0.002 (0.005) Loss 1.9146 (2.0041) Prec@1 50.625 (48.034) Prec@5 80.625 (78.555) Epoch: [54][940/11272] Time 0.908 (0.816) Data 0.002 (0.005) Loss 2.0435 (2.0030) Prec@1 46.250 (48.053) Prec@5 75.625 (78.573) Epoch: [54][950/11272] Time 0.800 (0.816) Data 0.002 (0.005) Loss 2.2585 (2.0025) Prec@1 40.000 (48.059) Prec@5 73.750 (78.584) Epoch: [54][960/11272] Time 0.764 (0.816) Data 0.002 (0.005) Loss 2.2550 (2.0026) Prec@1 47.500 (48.059) Prec@5 67.500 (78.580) Epoch: [54][970/11272] Time 0.807 (0.816) Data 0.002 (0.005) Loss 2.0451 (2.0034) Prec@1 43.125 (48.035) Prec@5 80.625 (78.560) Epoch: [54][980/11272] Time 0.848 (0.816) Data 0.001 (0.005) Loss 1.8941 (2.0036) Prec@1 51.875 (48.050) Prec@5 81.250 (78.563) Epoch: [54][990/11272] Time 0.745 (0.816) Data 0.002 (0.005) Loss 2.3082 (2.0034) Prec@1 42.500 (48.042) Prec@5 73.750 (78.573) Epoch: [54][1000/11272] Time 0.931 (0.816) Data 0.002 (0.005) Loss 2.1455 (2.0031) Prec@1 46.250 (48.054) Prec@5 77.500 (78.584) Epoch: [54][1010/11272] Time 0.874 (0.816) Data 0.002 (0.005) Loss 2.0983 (2.0033) Prec@1 50.625 (48.050) Prec@5 76.875 (78.582) Epoch: [54][1020/11272] Time 0.758 (0.816) Data 0.001 (0.005) Loss 1.8874 (2.0031) Prec@1 50.625 (48.064) Prec@5 81.875 (78.576) Epoch: [54][1030/11272] Time 0.792 (0.816) Data 0.002 (0.005) Loss 2.0472 (2.0040) Prec@1 50.625 (48.049) Prec@5 76.875 (78.557) Epoch: [54][1040/11272] Time 0.873 (0.816) Data 0.002 (0.005) Loss 1.9605 (2.0043) Prec@1 45.625 (48.049) Prec@5 83.125 (78.555) Epoch: [54][1050/11272] Time 0.915 (0.816) Data 0.002 (0.005) Loss 1.8074 (2.0038) Prec@1 48.750 (48.059) Prec@5 83.750 (78.563) Epoch: [54][1060/11272] Time 0.756 (0.815) Data 0.002 (0.005) Loss 1.8822 (2.0039) Prec@1 51.250 (48.055) Prec@5 82.500 (78.566) Epoch: [54][1070/11272] Time 0.794 (0.815) Data 0.002 (0.004) Loss 2.0148 (2.0042) Prec@1 50.000 (48.049) Prec@5 80.625 (78.566) Epoch: [54][1080/11272] Time 0.853 (0.815) Data 0.001 (0.004) Loss 2.0159 (2.0050) Prec@1 45.625 (48.032) Prec@5 77.500 (78.550) Epoch: [54][1090/11272] Time 0.843 (0.815) Data 0.002 (0.004) Loss 2.0010 (2.0055) Prec@1 50.625 (48.025) Prec@5 77.500 (78.540) Epoch: [54][1100/11272] Time 0.718 (0.815) Data 0.001 (0.004) Loss 2.1375 (2.0059) Prec@1 44.375 (48.002) Prec@5 78.750 (78.528) Epoch: [54][1110/11272] Time 0.746 (0.815) Data 0.002 (0.004) Loss 1.9175 (2.0058) Prec@1 49.375 (48.001) Prec@5 80.625 (78.527) Epoch: [54][1120/11272] Time 0.896 (0.815) Data 0.002 (0.004) Loss 2.0800 (2.0065) Prec@1 46.875 (47.979) Prec@5 77.500 (78.511) Epoch: [54][1130/11272] Time 0.724 (0.815) Data 0.003 (0.004) Loss 2.1154 (2.0068) Prec@1 47.500 (47.965) Prec@5 78.125 (78.507) Epoch: [54][1140/11272] Time 0.744 (0.815) Data 0.001 (0.004) Loss 2.0285 (2.0068) Prec@1 48.750 (47.958) Prec@5 76.875 (78.511) Epoch: [54][1150/11272] Time 0.921 (0.815) Data 0.002 (0.004) Loss 2.4449 (2.0072) Prec@1 40.625 (47.947) Prec@5 72.500 (78.504) Epoch: [54][1160/11272] Time 0.841 (0.815) Data 0.002 (0.004) Loss 2.1316 (2.0072) Prec@1 45.625 (47.940) Prec@5 79.375 (78.498) Epoch: [54][1170/11272] Time 0.774 (0.815) Data 0.002 (0.004) Loss 2.1270 (2.0076) Prec@1 46.875 (47.928) Prec@5 74.375 (78.493) Epoch: [54][1180/11272] Time 0.740 (0.815) Data 0.001 (0.004) Loss 1.9113 (2.0070) Prec@1 49.375 (47.933) Prec@5 82.500 (78.504) Epoch: [54][1190/11272] Time 0.882 (0.815) Data 0.002 (0.004) Loss 2.0555 (2.0070) Prec@1 47.500 (47.931) Prec@5 78.125 (78.512) Epoch: [54][1200/11272] Time 0.870 (0.815) Data 0.002 (0.004) Loss 1.9885 (2.0070) Prec@1 43.750 (47.923) Prec@5 81.875 (78.512) Epoch: [54][1210/11272] Time 0.753 (0.815) Data 0.002 (0.004) Loss 2.0573 (2.0063) Prec@1 43.125 (47.948) Prec@5 79.375 (78.524) Epoch: [54][1220/11272] Time 0.740 (0.815) Data 0.001 (0.004) Loss 1.9019 (2.0059) Prec@1 50.625 (47.959) Prec@5 78.750 (78.525) Epoch: [54][1230/11272] Time 0.898 (0.815) Data 0.002 (0.004) Loss 2.1452 (2.0056) Prec@1 42.500 (47.968) Prec@5 74.375 (78.531) Epoch: [54][1240/11272] Time 0.875 (0.815) Data 0.002 (0.004) Loss 1.7962 (2.0054) Prec@1 48.750 (47.970) Prec@5 84.375 (78.529) Epoch: [54][1250/11272] Time 0.791 (0.815) Data 0.002 (0.004) Loss 1.8521 (2.0058) Prec@1 51.250 (47.970) Prec@5 80.000 (78.528) Epoch: [54][1260/11272] Time 0.876 (0.814) Data 0.001 (0.004) Loss 2.0517 (2.0059) Prec@1 43.750 (47.972) Prec@5 74.375 (78.515) Epoch: [54][1270/11272] Time 0.841 (0.814) Data 0.002 (0.004) Loss 1.9517 (2.0063) Prec@1 43.750 (47.969) Prec@5 78.125 (78.502) Epoch: [54][1280/11272] Time 0.745 (0.814) Data 0.001 (0.004) Loss 2.1035 (2.0065) Prec@1 46.250 (47.967) Prec@5 77.500 (78.499) Epoch: [54][1290/11272] Time 0.735 (0.814) Data 0.002 (0.004) Loss 2.2372 (2.0062) Prec@1 43.125 (47.975) Prec@5 73.750 (78.504) Epoch: [54][1300/11272] Time 0.867 (0.814) Data 0.002 (0.004) Loss 2.0191 (2.0064) Prec@1 46.250 (47.971) Prec@5 77.500 (78.498) Epoch: [54][1310/11272] Time 0.888 (0.815) Data 0.002 (0.004) Loss 1.9519 (2.0068) Prec@1 49.375 (47.954) Prec@5 78.750 (78.489) Epoch: [54][1320/11272] Time 0.745 (0.814) Data 0.002 (0.004) Loss 1.7432 (2.0071) Prec@1 53.750 (47.936) Prec@5 85.000 (78.493) Epoch: [54][1330/11272] Time 0.781 (0.814) Data 0.002 (0.004) Loss 2.2038 (2.0079) Prec@1 49.375 (47.929) Prec@5 72.500 (78.486) Epoch: [54][1340/11272] Time 0.840 (0.814) Data 0.001 (0.004) Loss 1.9944 (2.0080) Prec@1 51.875 (47.925) Prec@5 80.000 (78.485) Epoch: [54][1350/11272] Time 0.876 (0.814) Data 0.002 (0.004) Loss 1.7885 (2.0082) Prec@1 52.500 (47.914) Prec@5 86.250 (78.484) Epoch: [54][1360/11272] Time 0.749 (0.814) Data 0.002 (0.004) Loss 1.9695 (2.0090) Prec@1 49.375 (47.903) Prec@5 80.625 (78.468) Epoch: [54][1370/11272] Time 0.789 (0.815) Data 0.002 (0.004) Loss 1.8902 (2.0088) Prec@1 51.875 (47.902) Prec@5 75.625 (78.469) Epoch: [54][1380/11272] Time 0.891 (0.815) Data 0.001 (0.004) Loss 1.9472 (2.0086) Prec@1 47.500 (47.898) Prec@5 79.375 (78.472) Epoch: [54][1390/11272] Time 0.918 (0.815) Data 0.002 (0.004) Loss 2.1544 (2.0082) Prec@1 46.250 (47.910) Prec@5 79.375 (78.485) Epoch: [54][1400/11272] Time 0.729 (0.814) Data 0.002 (0.004) Loss 1.9925 (2.0085) Prec@1 41.250 (47.894) Prec@5 81.250 (78.479) Epoch: [54][1410/11272] Time 0.933 (0.815) Data 0.002 (0.004) Loss 2.1617 (2.0085) Prec@1 41.250 (47.895) Prec@5 79.375 (78.478) Epoch: [54][1420/11272] Time 0.855 (0.814) Data 0.002 (0.004) Loss 2.1319 (2.0089) Prec@1 46.875 (47.891) Prec@5 77.500 (78.472) Epoch: [54][1430/11272] Time 0.751 (0.814) Data 0.002 (0.004) Loss 2.0295 (2.0083) Prec@1 46.875 (47.907) Prec@5 81.250 (78.485) Epoch: [54][1440/11272] Time 0.745 (0.814) Data 0.002 (0.004) Loss 1.8999 (2.0081) Prec@1 50.625 (47.912) Prec@5 84.375 (78.491) Epoch: [54][1450/11272] Time 0.896 (0.814) Data 0.002 (0.004) Loss 2.0086 (2.0079) Prec@1 45.625 (47.907) Prec@5 73.750 (78.495) Epoch: [54][1460/11272] Time 0.853 (0.814) Data 0.002 (0.004) Loss 1.9359 (2.0076) Prec@1 49.375 (47.912) Prec@5 76.875 (78.506) Epoch: [54][1470/11272] Time 0.732 (0.814) Data 0.002 (0.004) Loss 2.0773 (2.0076) Prec@1 50.000 (47.915) Prec@5 71.250 (78.501) Epoch: [54][1480/11272] Time 0.766 (0.814) Data 0.002 (0.004) Loss 2.0238 (2.0071) Prec@1 47.500 (47.928) Prec@5 83.125 (78.511) Epoch: [54][1490/11272] Time 0.907 (0.814) Data 0.002 (0.004) Loss 2.1281 (2.0075) Prec@1 45.000 (47.923) Prec@5 77.500 (78.496) Epoch: [54][1500/11272] Time 0.825 (0.814) Data 0.001 (0.004) Loss 1.9013 (2.0074) Prec@1 50.000 (47.919) Prec@5 79.375 (78.500) Epoch: [54][1510/11272] Time 0.732 (0.814) Data 0.002 (0.004) Loss 1.8965 (2.0072) Prec@1 54.375 (47.927) Prec@5 81.250 (78.504) Epoch: [54][1520/11272] Time 0.732 (0.814) Data 0.002 (0.004) Loss 1.8137 (2.0074) Prec@1 53.750 (47.917) Prec@5 78.750 (78.494) Epoch: [54][1530/11272] Time 0.946 (0.814) Data 0.002 (0.004) Loss 1.8131 (2.0074) Prec@1 55.000 (47.918) Prec@5 83.125 (78.495) Epoch: [54][1540/11272] Time 0.724 (0.814) Data 0.001 (0.004) Loss 2.0917 (2.0074) Prec@1 47.500 (47.912) Prec@5 78.125 (78.495) Epoch: [54][1550/11272] Time 0.731 (0.814) Data 0.002 (0.004) Loss 2.0748 (2.0078) Prec@1 51.875 (47.907) Prec@5 77.500 (78.485) Epoch: [54][1560/11272] Time 0.834 (0.814) Data 0.001 (0.004) Loss 1.9967 (2.0078) Prec@1 49.375 (47.917) Prec@5 83.125 (78.487) Epoch: [54][1570/11272] Time 0.882 (0.814) Data 0.002 (0.004) Loss 1.8899 (2.0079) Prec@1 51.875 (47.911) Prec@5 80.625 (78.474) Epoch: [54][1580/11272] Time 0.751 (0.814) Data 0.002 (0.004) Loss 1.9773 (2.0087) Prec@1 45.625 (47.900) Prec@5 78.750 (78.460) Epoch: [54][1590/11272] Time 0.728 (0.814) Data 0.002 (0.004) Loss 2.0606 (2.0087) Prec@1 50.625 (47.905) Prec@5 71.875 (78.455) Epoch: [54][1600/11272] Time 0.875 (0.814) Data 0.002 (0.004) Loss 2.0432 (2.0092) Prec@1 50.000 (47.898) Prec@5 75.625 (78.448) Epoch: [54][1610/11272] Time 0.859 (0.814) Data 0.002 (0.004) Loss 2.4071 (2.0094) Prec@1 39.375 (47.889) Prec@5 70.000 (78.445) Epoch: [54][1620/11272] Time 0.758 (0.814) Data 0.002 (0.004) Loss 1.9915 (2.0095) Prec@1 46.250 (47.885) Prec@5 79.375 (78.444) Epoch: [54][1630/11272] Time 0.754 (0.814) Data 0.002 (0.004) Loss 2.1467 (2.0094) Prec@1 44.375 (47.890) Prec@5 80.000 (78.450) Epoch: [54][1640/11272] Time 0.880 (0.814) Data 0.001 (0.004) Loss 2.0543 (2.0095) Prec@1 45.625 (47.896) Prec@5 75.000 (78.449) Epoch: [54][1650/11272] Time 0.886 (0.814) Data 0.002 (0.004) Loss 2.1256 (2.0097) Prec@1 46.875 (47.901) Prec@5 76.875 (78.439) Epoch: [54][1660/11272] Time 0.757 (0.814) Data 0.002 (0.004) Loss 2.0494 (2.0097) Prec@1 46.875 (47.902) Prec@5 81.250 (78.441) Epoch: [54][1670/11272] Time 0.828 (0.814) Data 0.001 (0.003) Loss 2.0242 (2.0101) Prec@1 42.500 (47.894) Prec@5 75.625 (78.432) Epoch: [54][1680/11272] Time 0.856 (0.814) Data 0.002 (0.003) Loss 2.0989 (2.0099) Prec@1 44.375 (47.897) Prec@5 76.250 (78.435) Epoch: [54][1690/11272] Time 0.760 (0.814) Data 0.001 (0.003) Loss 2.0378 (2.0095) Prec@1 47.500 (47.913) Prec@5 78.750 (78.442) Epoch: [54][1700/11272] Time 0.769 (0.814) Data 0.002 (0.003) Loss 1.9202 (2.0092) Prec@1 51.250 (47.919) Prec@5 80.000 (78.449) Epoch: [54][1710/11272] Time 0.897 (0.814) Data 0.002 (0.003) Loss 2.1081 (2.0091) Prec@1 49.375 (47.926) Prec@5 74.375 (78.444) Epoch: [54][1720/11272] Time 0.844 (0.814) Data 0.001 (0.003) Loss 1.9279 (2.0097) Prec@1 46.875 (47.908) Prec@5 77.500 (78.433) Epoch: [54][1730/11272] Time 0.741 (0.814) Data 0.001 (0.003) Loss 1.8589 (2.0099) Prec@1 53.125 (47.904) Prec@5 81.875 (78.437) Epoch: [54][1740/11272] Time 0.764 (0.814) Data 0.001 (0.003) Loss 1.9847 (2.0102) Prec@1 46.875 (47.896) Prec@5 81.250 (78.438) Epoch: [54][1750/11272] Time 0.856 (0.814) Data 0.002 (0.003) Loss 1.8788 (2.0099) Prec@1 52.500 (47.904) Prec@5 79.375 (78.440) Epoch: [54][1760/11272] Time 0.938 (0.814) Data 0.002 (0.003) Loss 1.8903 (2.0098) Prec@1 48.125 (47.902) Prec@5 82.500 (78.449) Epoch: [54][1770/11272] Time 0.727 (0.814) Data 0.002 (0.003) Loss 1.9531 (2.0097) Prec@1 52.500 (47.908) Prec@5 77.500 (78.448) Epoch: [54][1780/11272] Time 0.738 (0.814) Data 0.001 (0.003) Loss 2.1745 (2.0097) Prec@1 44.375 (47.905) Prec@5 77.500 (78.450) Epoch: [54][1790/11272] Time 0.894 (0.814) Data 0.002 (0.003) Loss 1.9082 (2.0099) Prec@1 47.500 (47.898) Prec@5 81.875 (78.453) Epoch: [54][1800/11272] Time 0.722 (0.814) Data 0.003 (0.003) Loss 2.1831 (2.0100) Prec@1 43.125 (47.895) Prec@5 75.000 (78.452) Epoch: [54][1810/11272] Time 0.737 (0.814) Data 0.002 (0.003) Loss 2.1858 (2.0101) Prec@1 40.000 (47.892) Prec@5 80.000 (78.457) Epoch: [54][1820/11272] Time 0.855 (0.814) Data 0.002 (0.003) Loss 2.2020 (2.0102) Prec@1 41.875 (47.894) Prec@5 75.000 (78.455) Epoch: [54][1830/11272] Time 0.850 (0.814) Data 0.002 (0.003) Loss 2.0635 (2.0101) Prec@1 46.250 (47.892) Prec@5 76.875 (78.453) Epoch: [54][1840/11272] Time 0.776 (0.814) Data 0.002 (0.003) Loss 1.8927 (2.0102) Prec@1 53.750 (47.895) Prec@5 81.250 (78.450) Epoch: [54][1850/11272] Time 0.741 (0.814) Data 0.002 (0.003) Loss 1.9262 (2.0102) Prec@1 48.750 (47.902) Prec@5 83.750 (78.453) Epoch: [54][1860/11272] Time 0.869 (0.814) Data 0.002 (0.003) Loss 2.0223 (2.0101) Prec@1 46.875 (47.915) Prec@5 79.375 (78.457) Epoch: [54][1870/11272] Time 0.892 (0.814) Data 0.002 (0.003) Loss 1.9374 (2.0104) Prec@1 50.000 (47.917) Prec@5 78.125 (78.450) Epoch: [54][1880/11272] Time 0.776 (0.814) Data 0.001 (0.003) Loss 1.9500 (2.0102) Prec@1 45.000 (47.924) Prec@5 80.000 (78.453) Epoch: [54][1890/11272] Time 0.777 (0.814) Data 0.002 (0.003) Loss 2.0621 (2.0099) Prec@1 45.000 (47.929) Prec@5 76.875 (78.458) Epoch: [54][1900/11272] Time 0.808 (0.814) Data 0.001 (0.003) Loss 1.9345 (2.0101) Prec@1 54.375 (47.932) Prec@5 78.125 (78.456) Epoch: [54][1910/11272] Time 0.827 (0.814) Data 0.002 (0.003) Loss 1.9324 (2.0099) Prec@1 43.750 (47.933) Prec@5 80.000 (78.464) Epoch: [54][1920/11272] Time 0.774 (0.814) Data 0.002 (0.003) Loss 1.8965 (2.0099) Prec@1 52.500 (47.940) Prec@5 78.125 (78.459) Epoch: [54][1930/11272] Time 0.914 (0.814) Data 0.002 (0.003) Loss 1.7115 (2.0099) Prec@1 58.125 (47.941) Prec@5 83.750 (78.455) Epoch: [54][1940/11272] Time 0.853 (0.814) Data 0.002 (0.003) Loss 2.0252 (2.0098) Prec@1 50.000 (47.945) Prec@5 80.000 (78.455) Epoch: [54][1950/11272] Time 0.760 (0.814) Data 0.002 (0.003) Loss 2.0642 (2.0098) Prec@1 45.625 (47.944) Prec@5 79.375 (78.459) Epoch: [54][1960/11272] Time 0.747 (0.814) Data 0.002 (0.003) Loss 1.7597 (2.0097) Prec@1 51.875 (47.949) Prec@5 85.000 (78.459) Epoch: [54][1970/11272] Time 0.841 (0.814) Data 0.002 (0.003) Loss 1.7927 (2.0093) Prec@1 56.250 (47.963) Prec@5 81.875 (78.464) Epoch: [54][1980/11272] Time 0.875 (0.814) Data 0.002 (0.003) Loss 2.1986 (2.0096) Prec@1 47.500 (47.964) Prec@5 76.250 (78.457) Epoch: [54][1990/11272] Time 0.733 (0.814) Data 0.001 (0.003) Loss 2.2057 (2.0095) Prec@1 45.000 (47.966) Prec@5 77.500 (78.462) Epoch: [54][2000/11272] Time 0.749 (0.814) Data 0.002 (0.003) Loss 1.8668 (2.0090) Prec@1 46.250 (47.977) Prec@5 81.250 (78.470) Epoch: [54][2010/11272] Time 0.833 (0.814) Data 0.001 (0.003) Loss 2.1381 (2.0089) Prec@1 47.500 (47.976) Prec@5 75.625 (78.470) Epoch: [54][2020/11272] Time 0.832 (0.814) Data 0.001 (0.003) Loss 1.9958 (2.0089) Prec@1 49.375 (47.978) Prec@5 81.250 (78.472) Epoch: [54][2030/11272] Time 0.781 (0.814) Data 0.002 (0.003) Loss 2.2169 (2.0088) Prec@1 47.500 (47.983) Prec@5 76.250 (78.471) Epoch: [54][2040/11272] Time 0.784 (0.814) Data 0.002 (0.003) Loss 1.8992 (2.0086) Prec@1 47.500 (47.983) Prec@5 78.750 (78.476) Epoch: [54][2050/11272] Time 0.810 (0.814) Data 0.001 (0.003) Loss 2.0457 (2.0084) Prec@1 42.500 (47.985) Prec@5 80.625 (78.484) Epoch: [54][2060/11272] Time 0.791 (0.814) Data 0.003 (0.003) Loss 2.0520 (2.0083) Prec@1 48.750 (47.995) Prec@5 78.125 (78.486) Epoch: [54][2070/11272] Time 0.811 (0.814) Data 0.002 (0.003) Loss 1.6730 (2.0085) Prec@1 54.375 (47.992) Prec@5 84.375 (78.487) Epoch: [54][2080/11272] Time 0.860 (0.814) Data 0.002 (0.003) Loss 2.0361 (2.0087) Prec@1 49.375 (47.990) Prec@5 78.125 (78.483) Epoch: [54][2090/11272] Time 0.841 (0.814) Data 0.002 (0.003) Loss 1.9777 (2.0089) Prec@1 46.875 (47.983) Prec@5 81.875 (78.479) Epoch: [54][2100/11272] Time 0.782 (0.814) Data 0.002 (0.003) Loss 2.1660 (2.0090) Prec@1 43.750 (47.982) Prec@5 76.875 (78.477) Epoch: [54][2110/11272] Time 0.727 (0.814) Data 0.001 (0.003) Loss 2.0260 (2.0090) Prec@1 46.875 (47.981) Prec@5 78.750 (78.478) Epoch: [54][2120/11272] Time 0.834 (0.814) Data 0.001 (0.003) Loss 1.9343 (2.0092) Prec@1 51.875 (47.985) Prec@5 82.500 (78.474) Epoch: [54][2130/11272] Time 0.871 (0.814) Data 0.002 (0.003) Loss 1.8866 (2.0089) Prec@1 45.000 (47.993) Prec@5 81.250 (78.479) Epoch: [54][2140/11272] Time 0.753 (0.814) Data 0.001 (0.003) Loss 1.9203 (2.0087) Prec@1 53.750 (48.004) Prec@5 78.125 (78.474) Epoch: [54][2150/11272] Time 0.749 (0.813) Data 0.002 (0.003) Loss 1.9709 (2.0087) Prec@1 50.625 (48.004) Prec@5 80.625 (78.476) Epoch: [54][2160/11272] Time 0.860 (0.814) Data 0.002 (0.003) Loss 2.1088 (2.0089) Prec@1 48.750 (47.999) Prec@5 75.625 (78.476) Epoch: [54][2170/11272] Time 0.828 (0.814) Data 0.002 (0.003) Loss 2.2044 (2.0089) Prec@1 40.000 (47.999) Prec@5 76.875 (78.475) Epoch: [54][2180/11272] Time 0.744 (0.813) Data 0.002 (0.003) Loss 2.0142 (2.0088) Prec@1 48.125 (47.993) Prec@5 75.625 (78.473) Epoch: [54][2190/11272] Time 0.854 (0.813) Data 0.002 (0.003) Loss 1.9174 (2.0088) Prec@1 51.250 (47.993) Prec@5 81.250 (78.478) Epoch: [54][2200/11272] Time 0.845 (0.813) Data 0.001 (0.003) Loss 2.1307 (2.0088) Prec@1 46.250 (47.997) Prec@5 73.125 (78.477) Epoch: [54][2210/11272] Time 0.746 (0.813) Data 0.002 (0.003) Loss 2.2068 (2.0085) Prec@1 43.750 (48.000) Prec@5 72.500 (78.480) Epoch: [54][2220/11272] Time 0.786 (0.813) Data 0.002 (0.003) Loss 1.9964 (2.0083) Prec@1 46.250 (48.005) Prec@5 81.875 (78.489) Epoch: [54][2230/11272] Time 0.875 (0.813) Data 0.002 (0.003) Loss 2.2873 (2.0082) Prec@1 37.500 (48.009) Prec@5 71.875 (78.483) Epoch: [54][2240/11272] Time 0.868 (0.813) Data 0.002 (0.003) Loss 1.8792 (2.0083) Prec@1 48.750 (48.009) Prec@5 79.375 (78.485) Epoch: [54][2250/11272] Time 0.787 (0.813) Data 0.002 (0.003) Loss 1.7742 (2.0082) Prec@1 50.625 (48.013) Prec@5 83.750 (78.482) Epoch: [54][2260/11272] Time 0.737 (0.813) Data 0.002 (0.003) Loss 2.2304 (2.0084) Prec@1 46.250 (48.010) Prec@5 76.875 (78.483) Epoch: [54][2270/11272] Time 0.893 (0.813) Data 0.002 (0.003) Loss 2.0674 (2.0086) Prec@1 43.750 (48.004) Prec@5 79.375 (78.479) Epoch: [54][2280/11272] Time 0.938 (0.813) Data 0.002 (0.003) Loss 2.0239 (2.0086) Prec@1 48.125 (48.003) Prec@5 77.500 (78.480) Epoch: [54][2290/11272] Time 0.732 (0.813) Data 0.001 (0.003) Loss 1.7156 (2.0086) Prec@1 50.625 (48.006) Prec@5 83.750 (78.481) Epoch: [54][2300/11272] Time 0.748 (0.813) Data 0.001 (0.003) Loss 1.9411 (2.0088) Prec@1 47.500 (48.000) Prec@5 79.375 (78.476) Epoch: [54][2310/11272] Time 0.847 (0.813) Data 0.002 (0.003) Loss 1.9429 (2.0086) Prec@1 48.125 (48.002) Prec@5 81.250 (78.482) Epoch: [54][2320/11272] Time 0.861 (0.813) Data 0.001 (0.003) Loss 2.0019 (2.0087) Prec@1 47.500 (48.001) Prec@5 80.000 (78.477) Epoch: [54][2330/11272] Time 0.716 (0.813) Data 0.002 (0.003) Loss 1.9882 (2.0090) Prec@1 51.250 (47.991) Prec@5 81.875 (78.474) Epoch: [54][2340/11272] Time 0.858 (0.813) Data 0.002 (0.003) Loss 1.9884 (2.0092) Prec@1 53.750 (47.991) Prec@5 76.875 (78.471) Epoch: [54][2350/11272] Time 0.884 (0.813) Data 0.002 (0.003) Loss 2.2440 (2.0094) Prec@1 41.875 (47.984) Prec@5 77.500 (78.461) Epoch: [54][2360/11272] Time 0.723 (0.813) Data 0.001 (0.003) Loss 1.9060 (2.0095) Prec@1 53.125 (47.979) Prec@5 80.625 (78.461) Epoch: [54][2370/11272] Time 0.803 (0.813) Data 0.001 (0.003) Loss 2.1985 (2.0095) Prec@1 44.375 (47.982) Prec@5 73.125 (78.458) Epoch: [54][2380/11272] Time 0.861 (0.813) Data 0.002 (0.003) Loss 2.1124 (2.0097) Prec@1 46.250 (47.976) Prec@5 76.875 (78.452) Epoch: [54][2390/11272] Time 0.887 (0.813) Data 0.002 (0.003) Loss 2.1965 (2.0097) Prec@1 43.750 (47.971) Prec@5 70.625 (78.448) Epoch: [54][2400/11272] Time 0.718 (0.813) Data 0.001 (0.003) Loss 1.9135 (2.0096) Prec@1 48.125 (47.968) Prec@5 79.375 (78.451) Epoch: [54][2410/11272] Time 0.786 (0.813) Data 0.002 (0.003) Loss 2.0148 (2.0098) Prec@1 51.875 (47.958) Prec@5 73.750 (78.447) Epoch: [54][2420/11272] Time 0.900 (0.813) Data 0.002 (0.003) Loss 1.9584 (2.0097) Prec@1 51.875 (47.957) Prec@5 80.625 (78.448) Epoch: [54][2430/11272] Time 0.837 (0.813) Data 0.002 (0.003) Loss 1.9409 (2.0098) Prec@1 48.125 (47.957) Prec@5 81.250 (78.448) Epoch: [54][2440/11272] Time 0.793 (0.813) Data 0.001 (0.003) Loss 2.0591 (2.0099) Prec@1 45.000 (47.954) Prec@5 75.000 (78.441) Epoch: [54][2450/11272] Time 0.754 (0.813) Data 0.002 (0.003) Loss 2.2889 (2.0099) Prec@1 42.500 (47.956) Prec@5 73.750 (78.439) Epoch: [54][2460/11272] Time 0.840 (0.813) Data 0.001 (0.003) Loss 2.0020 (2.0095) Prec@1 50.000 (47.961) Prec@5 78.125 (78.447) Epoch: [54][2470/11272] Time 0.736 (0.813) Data 0.001 (0.003) Loss 1.9442 (2.0093) Prec@1 45.000 (47.962) Prec@5 81.875 (78.456) Epoch: [54][2480/11272] Time 0.732 (0.813) Data 0.001 (0.003) Loss 1.8878 (2.0094) Prec@1 48.750 (47.967) Prec@5 80.000 (78.455) Epoch: [54][2490/11272] Time 0.895 (0.813) Data 0.002 (0.003) Loss 2.0649 (2.0094) Prec@1 51.250 (47.969) Prec@5 75.625 (78.450) Epoch: [54][2500/11272] Time 0.859 (0.813) Data 0.002 (0.003) Loss 2.0517 (2.0095) Prec@1 47.500 (47.962) Prec@5 80.000 (78.452) Epoch: [54][2510/11272] Time 0.777 (0.813) Data 0.002 (0.003) Loss 1.9401 (2.0095) Prec@1 53.750 (47.964) Prec@5 80.000 (78.454) Epoch: [54][2520/11272] Time 0.727 (0.813) Data 0.002 (0.003) Loss 1.9453 (2.0093) Prec@1 51.875 (47.970) Prec@5 78.750 (78.454) Epoch: [54][2530/11272] Time 0.938 (0.813) Data 0.003 (0.003) Loss 2.0412 (2.0097) Prec@1 46.875 (47.967) Prec@5 76.875 (78.447) Epoch: [54][2540/11272] Time 0.838 (0.813) Data 0.001 (0.003) Loss 1.8251 (2.0096) Prec@1 49.375 (47.963) Prec@5 81.875 (78.449) Epoch: [54][2550/11272] Time 0.717 (0.813) Data 0.002 (0.003) Loss 2.2218 (2.0100) Prec@1 41.250 (47.951) Prec@5 73.750 (78.446) Epoch: [54][2560/11272] Time 0.754 (0.813) Data 0.002 (0.003) Loss 2.0521 (2.0100) Prec@1 47.500 (47.952) Prec@5 77.500 (78.453) Epoch: [54][2570/11272] Time 0.835 (0.813) Data 0.001 (0.003) Loss 2.2586 (2.0102) Prec@1 43.125 (47.946) Prec@5 76.875 (78.453) Epoch: [54][2580/11272] Time 0.895 (0.813) Data 0.003 (0.003) Loss 2.2194 (2.0103) Prec@1 43.750 (47.946) Prec@5 73.125 (78.451) Epoch: [54][2590/11272] Time 0.768 (0.813) Data 0.002 (0.003) Loss 2.0840 (2.0102) Prec@1 43.125 (47.946) Prec@5 75.625 (78.451) Epoch: [54][2600/11272] Time 0.803 (0.813) Data 0.001 (0.003) Loss 2.0434 (2.0101) Prec@1 48.750 (47.947) Prec@5 75.000 (78.454) Epoch: [54][2610/11272] Time 0.906 (0.813) Data 0.002 (0.003) Loss 2.0977 (2.0104) Prec@1 46.250 (47.941) Prec@5 76.875 (78.447) Epoch: [54][2620/11272] Time 0.742 (0.813) Data 0.001 (0.003) Loss 2.1564 (2.0105) Prec@1 46.250 (47.938) Prec@5 76.250 (78.441) Epoch: [54][2630/11272] Time 0.722 (0.813) Data 0.001 (0.003) Loss 1.9071 (2.0106) Prec@1 48.750 (47.942) Prec@5 81.250 (78.440) Epoch: [54][2640/11272] Time 0.865 (0.813) Data 0.002 (0.003) Loss 2.0462 (2.0103) Prec@1 45.625 (47.947) Prec@5 78.125 (78.446) Epoch: [54][2650/11272] Time 0.879 (0.813) Data 0.002 (0.003) Loss 1.5862 (2.0102) Prec@1 59.375 (47.954) Prec@5 84.375 (78.448) Epoch: [54][2660/11272] Time 0.750 (0.813) Data 0.002 (0.003) Loss 1.9706 (2.0106) Prec@1 51.875 (47.949) Prec@5 79.375 (78.441) Epoch: [54][2670/11272] Time 0.753 (0.813) Data 0.002 (0.003) Loss 2.0960 (2.0111) Prec@1 43.125 (47.936) Prec@5 81.875 (78.438) Epoch: [54][2680/11272] Time 0.861 (0.813) Data 0.001 (0.003) Loss 1.5925 (2.0111) Prec@1 60.625 (47.936) Prec@5 85.625 (78.436) Epoch: [54][2690/11272] Time 0.837 (0.813) Data 0.002 (0.003) Loss 1.9640 (2.0111) Prec@1 52.500 (47.942) Prec@5 77.500 (78.435) Epoch: [54][2700/11272] Time 0.789 (0.813) Data 0.002 (0.003) Loss 2.0174 (2.0111) Prec@1 50.000 (47.941) Prec@5 78.125 (78.430) Epoch: [54][2710/11272] Time 0.772 (0.813) Data 0.002 (0.003) Loss 2.1824 (2.0113) Prec@1 48.125 (47.944) Prec@5 71.875 (78.423) Epoch: [54][2720/11272] Time 0.863 (0.813) Data 0.002 (0.003) Loss 2.0849 (2.0112) Prec@1 47.500 (47.941) Prec@5 78.750 (78.430) Epoch: [54][2730/11272] Time 0.740 (0.813) Data 0.004 (0.003) Loss 1.8226 (2.0111) Prec@1 53.125 (47.944) Prec@5 83.125 (78.429) Epoch: [54][2740/11272] Time 0.757 (0.813) Data 0.002 (0.003) Loss 2.1662 (2.0115) Prec@1 48.750 (47.938) Prec@5 71.875 (78.420) Epoch: [54][2750/11272] Time 0.844 (0.813) Data 0.002 (0.003) Loss 2.0401 (2.0117) Prec@1 43.125 (47.936) Prec@5 79.375 (78.418) Epoch: [54][2760/11272] Time 0.830 (0.813) Data 0.001 (0.003) Loss 1.8588 (2.0118) Prec@1 53.750 (47.932) Prec@5 80.000 (78.416) Epoch: [54][2770/11272] Time 0.731 (0.813) Data 0.002 (0.003) Loss 1.8691 (2.0117) Prec@1 53.125 (47.937) Prec@5 80.625 (78.416) Epoch: [54][2780/11272] Time 0.764 (0.813) Data 0.002 (0.003) Loss 2.1395 (2.0118) Prec@1 47.500 (47.936) Prec@5 76.875 (78.416) Epoch: [54][2790/11272] Time 0.836 (0.813) Data 0.001 (0.003) Loss 2.2940 (2.0118) Prec@1 40.625 (47.934) Prec@5 71.250 (78.419) Epoch: [54][2800/11272] Time 0.858 (0.813) Data 0.001 (0.003) Loss 2.2451 (2.0117) Prec@1 43.125 (47.939) Prec@5 74.375 (78.418) Epoch: [54][2810/11272] Time 0.767 (0.813) Data 0.002 (0.003) Loss 2.0627 (2.0117) Prec@1 45.000 (47.942) Prec@5 80.625 (78.418) Epoch: [54][2820/11272] Time 0.751 (0.813) Data 0.002 (0.003) Loss 2.0925 (2.0117) Prec@1 43.750 (47.942) Prec@5 75.625 (78.420) Epoch: [54][2830/11272] Time 0.921 (0.813) Data 0.002 (0.003) Loss 2.2452 (2.0119) Prec@1 41.875 (47.939) Prec@5 73.125 (78.417) Epoch: [54][2840/11272] Time 0.845 (0.813) Data 0.001 (0.003) Loss 1.9757 (2.0120) Prec@1 49.375 (47.936) Prec@5 75.000 (78.416) Epoch: [54][2850/11272] Time 0.730 (0.813) Data 0.002 (0.003) Loss 2.1441 (2.0120) Prec@1 48.750 (47.941) Prec@5 73.750 (78.412) Epoch: [54][2860/11272] Time 0.890 (0.813) Data 0.002 (0.003) Loss 2.2255 (2.0120) Prec@1 45.000 (47.937) Prec@5 75.000 (78.408) Epoch: [54][2870/11272] Time 0.914 (0.813) Data 0.001 (0.003) Loss 2.2057 (2.0120) Prec@1 44.375 (47.933) Prec@5 72.500 (78.410) Epoch: [54][2880/11272] Time 0.790 (0.813) Data 0.001 (0.003) Loss 1.7420 (2.0119) Prec@1 51.250 (47.940) Prec@5 83.750 (78.412) Epoch: [54][2890/11272] Time 0.782 (0.813) Data 0.002 (0.003) Loss 2.0765 (2.0120) Prec@1 45.000 (47.940) Prec@5 77.500 (78.410) Epoch: [54][2900/11272] Time 0.867 (0.813) Data 0.001 (0.003) Loss 1.9808 (2.0119) Prec@1 47.500 (47.942) Prec@5 79.375 (78.414) Epoch: [54][2910/11272] Time 0.821 (0.813) Data 0.001 (0.003) Loss 2.0745 (2.0121) Prec@1 46.875 (47.937) Prec@5 76.250 (78.406) Epoch: [54][2920/11272] Time 0.739 (0.813) Data 0.001 (0.003) Loss 2.3745 (2.0124) Prec@1 38.125 (47.928) Prec@5 71.875 (78.406) Epoch: [54][2930/11272] Time 0.805 (0.813) Data 0.002 (0.003) Loss 2.0858 (2.0125) Prec@1 49.375 (47.929) Prec@5 77.500 (78.406) Epoch: [54][2940/11272] Time 0.916 (0.813) Data 0.002 (0.003) Loss 1.9657 (2.0124) Prec@1 50.000 (47.932) Prec@5 78.750 (78.408) Epoch: [54][2950/11272] Time 0.895 (0.813) Data 0.002 (0.003) Loss 2.1175 (2.0123) Prec@1 43.750 (47.934) Prec@5 73.125 (78.404) Epoch: [54][2960/11272] Time 0.717 (0.813) Data 0.001 (0.003) Loss 2.0734 (2.0122) Prec@1 47.500 (47.933) Prec@5 79.375 (78.407) Epoch: [54][2970/11272] Time 0.748 (0.813) Data 0.002 (0.003) Loss 2.1714 (2.0124) Prec@1 51.875 (47.934) Prec@5 73.750 (78.405) Epoch: [54][2980/11272] Time 0.880 (0.813) Data 0.002 (0.003) Loss 2.0314 (2.0124) Prec@1 50.000 (47.939) Prec@5 78.125 (78.405) Epoch: [54][2990/11272] Time 0.797 (0.813) Data 0.004 (0.003) Loss 1.9444 (2.0123) Prec@1 49.375 (47.942) Prec@5 81.875 (78.407) Epoch: [54][3000/11272] Time 0.729 (0.813) Data 0.002 (0.003) Loss 1.8434 (2.0121) Prec@1 51.875 (47.944) Prec@5 78.125 (78.410) Epoch: [54][3010/11272] Time 0.888 (0.813) Data 0.002 (0.003) Loss 2.2480 (2.0121) Prec@1 49.375 (47.951) Prec@5 71.250 (78.407) Epoch: [54][3020/11272] Time 0.929 (0.813) Data 0.002 (0.003) Loss 1.8715 (2.0121) Prec@1 51.875 (47.957) Prec@5 82.500 (78.406) Epoch: [54][3030/11272] Time 0.774 (0.813) Data 0.002 (0.003) Loss 2.2148 (2.0121) Prec@1 45.000 (47.959) Prec@5 72.500 (78.403) Epoch: [54][3040/11272] Time 0.764 (0.813) Data 0.002 (0.003) Loss 1.9462 (2.0121) Prec@1 51.875 (47.961) Prec@5 81.875 (78.406) Epoch: [54][3050/11272] Time 0.851 (0.813) Data 0.002 (0.003) Loss 2.1745 (2.0119) Prec@1 45.000 (47.971) Prec@5 71.250 (78.409) Epoch: [54][3060/11272] Time 0.821 (0.813) Data 0.001 (0.003) Loss 1.7371 (2.0116) Prec@1 55.625 (47.972) Prec@5 82.500 (78.415) Epoch: [54][3070/11272] Time 0.818 (0.813) Data 0.002 (0.003) Loss 1.8234 (2.0117) Prec@1 53.750 (47.971) Prec@5 81.875 (78.413) Epoch: [54][3080/11272] Time 0.759 (0.813) Data 0.002 (0.003) Loss 2.2262 (2.0116) Prec@1 46.250 (47.972) Prec@5 76.250 (78.418) Epoch: [54][3090/11272] Time 0.883 (0.813) Data 0.002 (0.003) Loss 1.9115 (2.0115) Prec@1 53.125 (47.973) Prec@5 83.125 (78.419) Epoch: [54][3100/11272] Time 0.806 (0.813) Data 0.001 (0.003) Loss 2.0335 (2.0118) Prec@1 46.250 (47.969) Prec@5 78.750 (78.410) Epoch: [54][3110/11272] Time 0.788 (0.813) Data 0.002 (0.003) Loss 1.9767 (2.0119) Prec@1 51.875 (47.971) Prec@5 78.125 (78.407) Epoch: [54][3120/11272] Time 0.871 (0.813) Data 0.002 (0.003) Loss 2.1337 (2.0121) Prec@1 50.625 (47.969) Prec@5 73.750 (78.402) Epoch: [54][3130/11272] Time 0.973 (0.813) Data 0.002 (0.003) Loss 2.1257 (2.0122) Prec@1 41.250 (47.966) Prec@5 78.125 (78.398) Epoch: [54][3140/11272] Time 0.732 (0.813) Data 0.001 (0.003) Loss 1.9216 (2.0122) Prec@1 57.500 (47.969) Prec@5 75.000 (78.392) Epoch: [54][3150/11272] Time 0.754 (0.813) Data 0.001 (0.003) Loss 2.0230 (2.0121) Prec@1 46.875 (47.969) Prec@5 76.250 (78.395) Epoch: [54][3160/11272] Time 0.919 (0.813) Data 0.002 (0.003) Loss 1.8257 (2.0124) Prec@1 54.375 (47.962) Prec@5 81.250 (78.390) Epoch: [54][3170/11272] Time 0.901 (0.813) Data 0.002 (0.003) Loss 2.1645 (2.0125) Prec@1 40.000 (47.961) Prec@5 77.500 (78.387) Epoch: [54][3180/11272] Time 0.768 (0.813) Data 0.002 (0.003) Loss 2.3321 (2.0125) Prec@1 41.875 (47.960) Prec@5 67.500 (78.387) Epoch: [54][3190/11272] Time 0.787 (0.813) Data 0.002 (0.003) Loss 2.0801 (2.0124) Prec@1 47.500 (47.959) Prec@5 80.000 (78.389) Epoch: [54][3200/11272] Time 0.862 (0.813) Data 0.002 (0.003) Loss 2.1067 (2.0124) Prec@1 44.375 (47.959) Prec@5 77.500 (78.391) Epoch: [54][3210/11272] Time 0.943 (0.813) Data 0.002 (0.003) Loss 2.0578 (2.0124) Prec@1 51.875 (47.958) Prec@5 80.000 (78.392) Epoch: [54][3220/11272] Time 0.753 (0.813) Data 0.002 (0.003) Loss 1.8888 (2.0123) Prec@1 50.000 (47.955) Prec@5 82.500 (78.392) Epoch: [54][3230/11272] Time 0.770 (0.813) Data 0.002 (0.003) Loss 2.0707 (2.0124) Prec@1 48.125 (47.952) Prec@5 77.500 (78.393) Epoch: [54][3240/11272] Time 0.880 (0.813) Data 0.002 (0.003) Loss 2.1580 (2.0125) Prec@1 42.500 (47.949) Prec@5 73.750 (78.389) Epoch: [54][3250/11272] Time 0.888 (0.813) Data 0.002 (0.003) Loss 2.2169 (2.0126) Prec@1 43.750 (47.946) Prec@5 77.500 (78.393) Epoch: [54][3260/11272] Time 0.734 (0.813) Data 0.002 (0.003) Loss 2.0509 (2.0125) Prec@1 45.625 (47.941) Prec@5 75.000 (78.391) Epoch: [54][3270/11272] Time 0.971 (0.813) Data 0.001 (0.003) Loss 1.9252 (2.0124) Prec@1 48.125 (47.948) Prec@5 80.625 (78.395) Epoch: [54][3280/11272] Time 0.895 (0.813) Data 0.001 (0.003) Loss 1.8277 (2.0121) Prec@1 53.125 (47.951) Prec@5 82.500 (78.400) Epoch: [54][3290/11272] Time 0.750 (0.813) Data 0.001 (0.003) Loss 2.1859 (2.0122) Prec@1 37.500 (47.948) Prec@5 76.875 (78.397) Epoch: [54][3300/11272] Time 0.757 (0.813) Data 0.002 (0.003) Loss 2.0955 (2.0121) Prec@1 45.000 (47.953) Prec@5 75.000 (78.397) Epoch: [54][3310/11272] Time 0.892 (0.813) Data 0.002 (0.003) Loss 2.0247 (2.0122) Prec@1 45.000 (47.947) Prec@5 78.125 (78.398) Epoch: [54][3320/11272] Time 0.874 (0.813) Data 0.002 (0.003) Loss 1.8170 (2.0123) Prec@1 52.500 (47.950) Prec@5 80.000 (78.397) Epoch: [54][3330/11272] Time 0.748 (0.813) Data 0.002 (0.003) Loss 2.0413 (2.0125) Prec@1 43.750 (47.945) Prec@5 78.125 (78.396) Epoch: [54][3340/11272] Time 0.762 (0.813) Data 0.001 (0.003) Loss 2.1763 (2.0125) Prec@1 40.625 (47.943) Prec@5 75.625 (78.398) Epoch: [54][3350/11272] Time 0.859 (0.813) Data 0.002 (0.003) Loss 1.7959 (2.0125) Prec@1 50.625 (47.944) Prec@5 84.375 (78.394) Epoch: [54][3360/11272] Time 0.844 (0.813) Data 0.001 (0.003) Loss 1.9785 (2.0126) Prec@1 51.875 (47.946) Prec@5 78.125 (78.391) Epoch: [54][3370/11272] Time 0.786 (0.813) Data 0.002 (0.003) Loss 2.0099 (2.0129) Prec@1 48.750 (47.939) Prec@5 81.250 (78.388) Epoch: [54][3380/11272] Time 0.781 (0.813) Data 0.002 (0.003) Loss 2.0208 (2.0128) Prec@1 51.250 (47.941) Prec@5 78.125 (78.389) Epoch: [54][3390/11272] Time 0.908 (0.813) Data 0.002 (0.003) Loss 2.2591 (2.0132) Prec@1 44.375 (47.933) Prec@5 76.875 (78.381) Epoch: [54][3400/11272] Time 0.725 (0.813) Data 0.001 (0.003) Loss 1.7855 (2.0131) Prec@1 51.250 (47.938) Prec@5 78.750 (78.384) Epoch: [54][3410/11272] Time 0.787 (0.813) Data 0.002 (0.003) Loss 2.2652 (2.0130) Prec@1 39.375 (47.941) Prec@5 72.500 (78.385) Epoch: [54][3420/11272] Time 0.833 (0.813) Data 0.001 (0.003) Loss 1.8959 (2.0130) Prec@1 50.625 (47.939) Prec@5 81.250 (78.382) Epoch: [54][3430/11272] Time 0.861 (0.813) Data 0.002 (0.003) Loss 1.6981 (2.0132) Prec@1 57.500 (47.944) Prec@5 86.875 (78.380) Epoch: [54][3440/11272] Time 0.745 (0.813) Data 0.002 (0.003) Loss 1.9057 (2.0132) Prec@1 50.000 (47.943) Prec@5 79.375 (78.384) Epoch: [54][3450/11272] Time 0.788 (0.813) Data 0.002 (0.003) Loss 2.3379 (2.0133) Prec@1 41.250 (47.943) Prec@5 71.875 (78.381) Epoch: [54][3460/11272] Time 0.901 (0.813) Data 0.002 (0.003) Loss 2.2183 (2.0134) Prec@1 42.500 (47.937) Prec@5 75.625 (78.380) Epoch: [54][3470/11272] Time 0.875 (0.813) Data 0.002 (0.003) Loss 1.7805 (2.0134) Prec@1 56.875 (47.941) Prec@5 84.375 (78.384) Epoch: [54][3480/11272] Time 0.751 (0.813) Data 0.002 (0.003) Loss 1.8564 (2.0135) Prec@1 49.375 (47.938) Prec@5 84.375 (78.383) Epoch: [54][3490/11272] Time 0.795 (0.813) Data 0.002 (0.003) Loss 1.9966 (2.0136) Prec@1 48.750 (47.936) Prec@5 78.125 (78.383) Epoch: [54][3500/11272] Time 0.845 (0.813) Data 0.002 (0.003) Loss 1.9782 (2.0136) Prec@1 50.625 (47.932) Prec@5 78.750 (78.383) Epoch: [54][3510/11272] Time 0.861 (0.813) Data 0.001 (0.003) Loss 2.0200 (2.0136) Prec@1 48.125 (47.928) Prec@5 77.500 (78.382) Epoch: [54][3520/11272] Time 0.760 (0.813) Data 0.002 (0.003) Loss 1.8886 (2.0135) Prec@1 50.625 (47.930) Prec@5 81.250 (78.386) Epoch: [54][3530/11272] Time 0.858 (0.813) Data 0.002 (0.003) Loss 1.8088 (2.0134) Prec@1 49.375 (47.928) Prec@5 86.250 (78.387) Epoch: [54][3540/11272] Time 0.870 (0.813) Data 0.002 (0.003) Loss 1.8651 (2.0134) Prec@1 48.750 (47.930) Prec@5 79.375 (78.389) Epoch: [54][3550/11272] Time 0.763 (0.813) Data 0.003 (0.003) Loss 2.0768 (2.0133) Prec@1 46.250 (47.930) Prec@5 76.250 (78.391) Epoch: [54][3560/11272] Time 0.765 (0.813) Data 0.002 (0.003) Loss 2.0177 (2.0132) Prec@1 49.375 (47.933) Prec@5 79.375 (78.393) Epoch: [54][3570/11272] Time 0.829 (0.813) Data 0.001 (0.003) Loss 1.7949 (2.0132) Prec@1 51.250 (47.933) Prec@5 82.500 (78.392) Epoch: [54][3580/11272] Time 0.894 (0.813) Data 0.001 (0.003) Loss 2.1339 (2.0134) Prec@1 49.375 (47.933) Prec@5 77.500 (78.390) Epoch: [54][3590/11272] Time 0.791 (0.813) Data 0.001 (0.003) Loss 2.0600 (2.0135) Prec@1 50.000 (47.931) Prec@5 76.875 (78.392) Epoch: [54][3600/11272] Time 0.737 (0.813) Data 0.001 (0.003) Loss 2.0245 (2.0136) Prec@1 42.500 (47.930) Prec@5 76.875 (78.391) Epoch: [54][3610/11272] Time 0.873 (0.813) Data 0.002 (0.003) Loss 2.1317 (2.0137) Prec@1 45.625 (47.926) Prec@5 76.875 (78.390) Epoch: [54][3620/11272] Time 0.900 (0.813) Data 0.002 (0.003) Loss 1.9669 (2.0136) Prec@1 48.125 (47.930) Prec@5 81.875 (78.392) Epoch: [54][3630/11272] Time 0.762 (0.813) Data 0.001 (0.003) Loss 2.0717 (2.0137) Prec@1 49.375 (47.933) Prec@5 80.000 (78.392) Epoch: [54][3640/11272] Time 0.746 (0.813) Data 0.002 (0.003) Loss 1.9584 (2.0136) Prec@1 48.125 (47.933) Prec@5 78.125 (78.393) Epoch: [54][3650/11272] Time 0.869 (0.813) Data 0.002 (0.003) Loss 1.7205 (2.0135) Prec@1 53.750 (47.939) Prec@5 79.375 (78.395) Epoch: [54][3660/11272] Time 0.749 (0.813) Data 0.003 (0.003) Loss 1.7508 (2.0135) Prec@1 50.625 (47.938) Prec@5 83.750 (78.396) Epoch: [54][3670/11272] Time 0.743 (0.813) Data 0.002 (0.003) Loss 2.1569 (2.0136) Prec@1 45.000 (47.936) Prec@5 76.250 (78.394) Epoch: [54][3680/11272] Time 0.907 (0.813) Data 0.002 (0.003) Loss 2.0547 (2.0139) Prec@1 48.125 (47.933) Prec@5 80.000 (78.390) Epoch: [54][3690/11272] Time 0.811 (0.813) Data 0.001 (0.003) Loss 1.9693 (2.0139) Prec@1 47.500 (47.932) Prec@5 81.875 (78.387) Epoch: [54][3700/11272] Time 0.756 (0.813) Data 0.003 (0.003) Loss 1.7586 (2.0141) Prec@1 55.000 (47.928) Prec@5 82.500 (78.385) Epoch: [54][3710/11272] Time 0.784 (0.813) Data 0.002 (0.003) Loss 2.0350 (2.0141) Prec@1 47.500 (47.926) Prec@5 78.125 (78.384) Epoch: [54][3720/11272] Time 0.857 (0.813) Data 0.001 (0.003) Loss 2.0390 (2.0142) Prec@1 48.125 (47.924) Prec@5 73.750 (78.381) Epoch: [54][3730/11272] Time 0.851 (0.813) Data 0.002 (0.003) Loss 1.9229 (2.0140) Prec@1 51.250 (47.926) Prec@5 81.250 (78.385) Epoch: [54][3740/11272] Time 0.758 (0.813) Data 0.002 (0.003) Loss 1.9228 (2.0142) Prec@1 47.500 (47.921) Prec@5 84.375 (78.383) Epoch: [54][3750/11272] Time 0.761 (0.813) Data 0.002 (0.003) Loss 2.1512 (2.0141) Prec@1 45.625 (47.924) Prec@5 75.625 (78.386) Epoch: [54][3760/11272] Time 0.834 (0.813) Data 0.001 (0.003) Loss 1.9301 (2.0142) Prec@1 47.500 (47.925) Prec@5 82.500 (78.383) Epoch: [54][3770/11272] Time 0.858 (0.813) Data 0.001 (0.002) Loss 2.0908 (2.0141) Prec@1 46.875 (47.927) Prec@5 75.625 (78.382) Epoch: [54][3780/11272] Time 0.721 (0.813) Data 0.001 (0.002) Loss 2.0793 (2.0142) Prec@1 50.625 (47.926) Prec@5 77.500 (78.381) Epoch: [54][3790/11272] Time 0.863 (0.813) Data 0.001 (0.002) Loss 2.0877 (2.0141) Prec@1 46.250 (47.927) Prec@5 75.625 (78.381) Epoch: [54][3800/11272] Time 0.863 (0.813) Data 0.002 (0.002) Loss 2.3761 (2.0143) Prec@1 40.000 (47.924) Prec@5 74.375 (78.378) Epoch: [54][3810/11272] Time 0.759 (0.813) Data 0.001 (0.002) Loss 2.1308 (2.0143) Prec@1 41.250 (47.919) Prec@5 76.875 (78.379) Epoch: [54][3820/11272] Time 0.771 (0.813) Data 0.002 (0.002) Loss 2.3627 (2.0143) Prec@1 40.625 (47.919) Prec@5 75.625 (78.378) Epoch: [54][3830/11272] Time 0.891 (0.813) Data 0.002 (0.002) Loss 2.0439 (2.0141) Prec@1 45.625 (47.923) Prec@5 78.750 (78.381) Epoch: [54][3840/11272] Time 0.832 (0.813) Data 0.001 (0.002) Loss 2.0026 (2.0142) Prec@1 46.250 (47.919) Prec@5 76.875 (78.377) Epoch: [54][3850/11272] Time 0.784 (0.813) Data 0.002 (0.002) Loss 2.1128 (2.0142) Prec@1 46.250 (47.918) Prec@5 78.750 (78.379) Epoch: [54][3860/11272] Time 0.751 (0.813) Data 0.002 (0.002) Loss 2.1102 (2.0144) Prec@1 46.250 (47.915) Prec@5 73.750 (78.374) Epoch: [54][3870/11272] Time 0.896 (0.813) Data 0.002 (0.002) Loss 1.9804 (2.0143) Prec@1 48.125 (47.916) Prec@5 78.750 (78.377) Epoch: [54][3880/11272] Time 0.832 (0.813) Data 0.001 (0.002) Loss 2.0977 (2.0145) Prec@1 45.000 (47.911) Prec@5 75.625 (78.373) Epoch: [54][3890/11272] Time 0.753 (0.813) Data 0.002 (0.002) Loss 2.0114 (2.0145) Prec@1 51.250 (47.910) Prec@5 76.250 (78.372) Epoch: [54][3900/11272] Time 0.782 (0.813) Data 0.002 (0.002) Loss 1.9862 (2.0146) Prec@1 50.000 (47.905) Prec@5 83.750 (78.373) Epoch: [54][3910/11272] Time 0.878 (0.813) Data 0.002 (0.002) Loss 2.0363 (2.0148) Prec@1 47.500 (47.900) Prec@5 78.125 (78.373) Epoch: [54][3920/11272] Time 0.740 (0.813) Data 0.001 (0.002) Loss 2.0496 (2.0151) Prec@1 44.375 (47.892) Prec@5 79.375 (78.367) Epoch: [54][3930/11272] Time 0.790 (0.813) Data 0.002 (0.002) Loss 2.0167 (2.0152) Prec@1 47.500 (47.890) Prec@5 73.750 (78.365) Epoch: [54][3940/11272] Time 0.895 (0.813) Data 0.002 (0.002) Loss 2.0658 (2.0154) Prec@1 45.000 (47.888) Prec@5 76.250 (78.360) Epoch: [54][3950/11272] Time 0.853 (0.813) Data 0.002 (0.002) Loss 1.9536 (2.0156) Prec@1 53.125 (47.889) Prec@5 78.125 (78.356) Epoch: [54][3960/11272] Time 0.753 (0.813) Data 0.002 (0.002) Loss 2.0151 (2.0156) Prec@1 47.500 (47.887) Prec@5 76.250 (78.356) Epoch: [54][3970/11272] Time 0.728 (0.813) Data 0.001 (0.002) Loss 1.7732 (2.0153) Prec@1 47.500 (47.890) Prec@5 80.000 (78.361) Epoch: [54][3980/11272] Time 0.838 (0.813) Data 0.001 (0.002) Loss 1.8369 (2.0152) Prec@1 50.000 (47.892) Prec@5 81.250 (78.362) Epoch: [54][3990/11272] Time 0.909 (0.813) Data 0.002 (0.002) Loss 1.9971 (2.0152) Prec@1 45.625 (47.895) Prec@5 80.000 (78.363) Epoch: [54][4000/11272] Time 0.785 (0.813) Data 0.002 (0.002) Loss 1.9651 (2.0152) Prec@1 46.875 (47.895) Prec@5 78.750 (78.363) Epoch: [54][4010/11272] Time 0.771 (0.813) Data 0.002 (0.002) Loss 2.2685 (2.0155) Prec@1 47.500 (47.894) Prec@5 73.125 (78.356) Epoch: [54][4020/11272] Time 0.930 (0.813) Data 0.002 (0.002) Loss 2.1279 (2.0153) Prec@1 45.000 (47.896) Prec@5 75.625 (78.360) Epoch: [54][4030/11272] Time 0.912 (0.813) Data 0.002 (0.002) Loss 2.1214 (2.0154) Prec@1 45.625 (47.894) Prec@5 76.875 (78.356) Epoch: [54][4040/11272] Time 0.747 (0.813) Data 0.001 (0.002) Loss 1.9200 (2.0156) Prec@1 54.375 (47.891) Prec@5 80.625 (78.352) Epoch: [54][4050/11272] Time 0.863 (0.813) Data 0.001 (0.002) Loss 1.9698 (2.0157) Prec@1 49.375 (47.886) Prec@5 78.125 (78.351) Epoch: [54][4060/11272] Time 0.837 (0.813) Data 0.001 (0.002) Loss 1.8665 (2.0156) Prec@1 46.875 (47.885) Prec@5 83.125 (78.353) Epoch: [54][4070/11272] Time 0.785 (0.813) Data 0.002 (0.002) Loss 1.9992 (2.0157) Prec@1 46.875 (47.884) Prec@5 80.625 (78.346) Epoch: [54][4080/11272] Time 0.768 (0.813) Data 0.002 (0.002) Loss 1.8188 (2.0156) Prec@1 54.375 (47.888) Prec@5 83.750 (78.350) Epoch: [54][4090/11272] Time 0.900 (0.813) Data 0.002 (0.002) Loss 2.0511 (2.0157) Prec@1 49.375 (47.885) Prec@5 80.625 (78.350) Epoch: [54][4100/11272] Time 0.838 (0.813) Data 0.002 (0.002) Loss 2.0689 (2.0157) Prec@1 45.000 (47.885) Prec@5 76.875 (78.348) Epoch: [54][4110/11272] Time 0.736 (0.813) Data 0.002 (0.002) Loss 1.9419 (2.0158) Prec@1 48.125 (47.885) Prec@5 80.000 (78.348) Epoch: [54][4120/11272] Time 0.741 (0.813) Data 0.002 (0.002) Loss 2.1293 (2.0159) Prec@1 43.125 (47.883) Prec@5 76.875 (78.346) Epoch: [54][4130/11272] Time 0.865 (0.813) Data 0.002 (0.002) Loss 2.0452 (2.0157) Prec@1 39.375 (47.889) Prec@5 75.625 (78.347) Epoch: [54][4140/11272] Time 0.824 (0.813) Data 0.002 (0.002) Loss 1.9539 (2.0157) Prec@1 48.125 (47.885) Prec@5 77.500 (78.344) Epoch: [54][4150/11272] Time 0.737 (0.813) Data 0.002 (0.002) Loss 1.8546 (2.0156) Prec@1 51.250 (47.885) Prec@5 81.875 (78.345) Epoch: [54][4160/11272] Time 0.723 (0.813) Data 0.002 (0.002) Loss 2.0661 (2.0154) Prec@1 46.875 (47.892) Prec@5 75.625 (78.350) Epoch: [54][4170/11272] Time 0.834 (0.813) Data 0.001 (0.002) Loss 1.9490 (2.0153) Prec@1 48.750 (47.894) Prec@5 79.375 (78.352) Epoch: [54][4180/11272] Time 0.826 (0.813) Data 0.001 (0.002) Loss 2.2151 (2.0154) Prec@1 46.250 (47.891) Prec@5 75.625 (78.354) Epoch: [54][4190/11272] Time 0.724 (0.813) Data 0.001 (0.002) Loss 1.9467 (2.0154) Prec@1 47.500 (47.890) Prec@5 78.750 (78.355) Epoch: [54][4200/11272] Time 0.834 (0.813) Data 0.002 (0.002) Loss 2.0943 (2.0153) Prec@1 48.125 (47.892) Prec@5 78.125 (78.357) Epoch: [54][4210/11272] Time 0.884 (0.813) Data 0.002 (0.002) Loss 2.0049 (2.0153) Prec@1 45.000 (47.889) Prec@5 80.000 (78.359) Epoch: [54][4220/11272] Time 0.735 (0.813) Data 0.001 (0.002) Loss 1.9002 (2.0153) Prec@1 53.750 (47.890) Prec@5 81.875 (78.358) Epoch: [54][4230/11272] Time 0.759 (0.813) Data 0.002 (0.002) Loss 1.9572 (2.0153) Prec@1 50.625 (47.889) Prec@5 77.500 (78.356) Epoch: [54][4240/11272] Time 0.878 (0.813) Data 0.002 (0.002) Loss 1.7741 (2.0151) Prec@1 51.250 (47.893) Prec@5 82.500 (78.360) Epoch: [54][4250/11272] Time 0.822 (0.813) Data 0.001 (0.002) Loss 2.0693 (2.0150) Prec@1 46.875 (47.895) Prec@5 79.375 (78.361) Epoch: [54][4260/11272] Time 0.761 (0.813) Data 0.002 (0.002) Loss 1.9746 (2.0151) Prec@1 43.750 (47.894) Prec@5 78.125 (78.360) Epoch: [54][4270/11272] Time 0.736 (0.813) Data 0.001 (0.002) Loss 2.2041 (2.0151) Prec@1 44.375 (47.893) Prec@5 75.000 (78.361) Epoch: [54][4280/11272] Time 0.851 (0.813) Data 0.002 (0.002) Loss 1.7235 (2.0148) Prec@1 55.625 (47.903) Prec@5 83.125 (78.365) Epoch: [54][4290/11272] Time 0.844 (0.813) Data 0.002 (0.002) Loss 2.1918 (2.0148) Prec@1 47.500 (47.903) Prec@5 78.125 (78.363) Epoch: [54][4300/11272] Time 0.780 (0.812) Data 0.002 (0.002) Loss 2.1733 (2.0149) Prec@1 45.625 (47.902) Prec@5 75.625 (78.359) Epoch: [54][4310/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.1439 (2.0152) Prec@1 46.875 (47.899) Prec@5 76.250 (78.356) Epoch: [54][4320/11272] Time 0.840 (0.812) Data 0.001 (0.002) Loss 2.0379 (2.0151) Prec@1 46.250 (47.900) Prec@5 77.500 (78.358) Epoch: [54][4330/11272] Time 0.782 (0.812) Data 0.002 (0.002) Loss 2.0587 (2.0152) Prec@1 42.500 (47.895) Prec@5 76.250 (78.356) Epoch: [54][4340/11272] Time 0.731 (0.812) Data 0.002 (0.002) Loss 2.1041 (2.0152) Prec@1 48.125 (47.895) Prec@5 78.125 (78.357) Epoch: [54][4350/11272] Time 0.848 (0.812) Data 0.001 (0.002) Loss 1.8946 (2.0152) Prec@1 53.750 (47.897) Prec@5 77.500 (78.358) Epoch: [54][4360/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.0838 (2.0152) Prec@1 45.625 (47.894) Prec@5 79.375 (78.357) Epoch: [54][4370/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 2.2548 (2.0154) Prec@1 43.750 (47.889) Prec@5 72.500 (78.356) Epoch: [54][4380/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.1775 (2.0155) Prec@1 42.500 (47.887) Prec@5 75.625 (78.357) Epoch: [54][4390/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 1.9527 (2.0153) Prec@1 49.375 (47.888) Prec@5 81.875 (78.363) Epoch: [54][4400/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 2.0036 (2.0153) Prec@1 47.500 (47.890) Prec@5 80.625 (78.364) Epoch: [54][4410/11272] Time 0.784 (0.812) Data 0.002 (0.002) Loss 1.9346 (2.0153) Prec@1 45.625 (47.890) Prec@5 83.750 (78.361) Epoch: [54][4420/11272] Time 0.747 (0.812) Data 0.001 (0.002) Loss 2.0298 (2.0155) Prec@1 48.750 (47.888) Prec@5 78.125 (78.358) Epoch: [54][4430/11272] Time 0.939 (0.812) Data 0.002 (0.002) Loss 2.1191 (2.0154) Prec@1 49.375 (47.889) Prec@5 76.250 (78.358) Epoch: [54][4440/11272] Time 0.841 (0.812) Data 0.001 (0.002) Loss 2.0562 (2.0156) Prec@1 49.375 (47.884) Prec@5 75.000 (78.355) Epoch: [54][4450/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 1.9466 (2.0156) Prec@1 51.875 (47.885) Prec@5 80.000 (78.355) Epoch: [54][4460/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.0094 (2.0157) Prec@1 47.500 (47.885) Prec@5 79.375 (78.354) Epoch: [54][4470/11272] Time 0.835 (0.812) Data 0.002 (0.002) Loss 2.2172 (2.0157) Prec@1 44.375 (47.884) Prec@5 71.875 (78.355) Epoch: [54][4480/11272] Time 0.722 (0.812) Data 0.001 (0.002) Loss 2.0743 (2.0157) Prec@1 44.375 (47.886) Prec@5 74.375 (78.355) Epoch: [54][4490/11272] Time 0.750 (0.812) Data 0.001 (0.002) Loss 1.9894 (2.0156) Prec@1 53.125 (47.892) Prec@5 80.000 (78.355) Epoch: [54][4500/11272] Time 0.841 (0.812) Data 0.001 (0.002) Loss 1.9042 (2.0156) Prec@1 48.125 (47.892) Prec@5 80.625 (78.353) Epoch: [54][4510/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 2.2501 (2.0157) Prec@1 40.000 (47.890) Prec@5 75.625 (78.353) Epoch: [54][4520/11272] Time 0.720 (0.812) Data 0.001 (0.002) Loss 1.9778 (2.0156) Prec@1 45.625 (47.890) Prec@5 81.250 (78.354) Epoch: [54][4530/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 1.9537 (2.0158) Prec@1 51.250 (47.891) Prec@5 81.875 (78.351) Epoch: [54][4540/11272] Time 0.832 (0.812) Data 0.001 (0.002) Loss 1.8779 (2.0159) Prec@1 56.250 (47.891) Prec@5 80.625 (78.349) Epoch: [54][4550/11272] Time 0.833 (0.812) Data 0.001 (0.002) Loss 1.9688 (2.0157) Prec@1 46.250 (47.892) Prec@5 81.250 (78.351) Epoch: [54][4560/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 2.0927 (2.0158) Prec@1 45.625 (47.892) Prec@5 76.250 (78.349) Epoch: [54][4570/11272] Time 0.727 (0.812) Data 0.001 (0.002) Loss 1.9376 (2.0157) Prec@1 51.250 (47.894) Prec@5 80.625 (78.351) Epoch: [54][4580/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 1.9893 (2.0156) Prec@1 50.000 (47.894) Prec@5 80.000 (78.355) Epoch: [54][4590/11272] Time 0.722 (0.812) Data 0.003 (0.002) Loss 2.0402 (2.0157) Prec@1 45.625 (47.892) Prec@5 75.625 (78.353) Epoch: [54][4600/11272] Time 0.769 (0.812) Data 0.002 (0.002) Loss 1.9156 (2.0158) Prec@1 51.875 (47.894) Prec@5 81.250 (78.354) Epoch: [54][4610/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.0108 (2.0158) Prec@1 48.125 (47.893) Prec@5 77.500 (78.352) Epoch: [54][4620/11272] Time 0.846 (0.812) Data 0.002 (0.002) Loss 1.7713 (2.0158) Prec@1 53.125 (47.896) Prec@5 78.750 (78.353) Epoch: [54][4630/11272] Time 0.723 (0.812) Data 0.001 (0.002) Loss 2.0047 (2.0159) Prec@1 46.250 (47.893) Prec@5 80.625 (78.351) Epoch: [54][4640/11272] Time 0.773 (0.811) Data 0.002 (0.002) Loss 1.9506 (2.0161) Prec@1 54.375 (47.892) Prec@5 75.625 (78.347) Epoch: [54][4650/11272] Time 0.841 (0.811) Data 0.002 (0.002) Loss 2.1751 (2.0162) Prec@1 38.750 (47.887) Prec@5 76.250 (78.344) Epoch: [54][4660/11272] Time 0.798 (0.811) Data 0.002 (0.002) Loss 2.3022 (2.0162) Prec@1 40.000 (47.886) Prec@5 73.750 (78.343) Epoch: [54][4670/11272] Time 0.773 (0.811) Data 0.002 (0.002) Loss 2.0848 (2.0160) Prec@1 50.625 (47.893) Prec@5 78.750 (78.349) Epoch: [54][4680/11272] Time 0.742 (0.811) Data 0.002 (0.002) Loss 2.1771 (2.0160) Prec@1 50.625 (47.894) Prec@5 75.625 (78.349) Epoch: [54][4690/11272] Time 0.896 (0.811) Data 0.002 (0.002) Loss 2.0557 (2.0158) Prec@1 43.750 (47.898) Prec@5 81.250 (78.354) Epoch: [54][4700/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.0444 (2.0157) Prec@1 47.500 (47.898) Prec@5 80.000 (78.358) Epoch: [54][4710/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.1078 (2.0157) Prec@1 45.625 (47.898) Prec@5 73.750 (78.357) Epoch: [54][4720/11272] Time 0.863 (0.811) Data 0.002 (0.002) Loss 1.9455 (2.0156) Prec@1 51.250 (47.899) Prec@5 80.625 (78.359) Epoch: [54][4730/11272] Time 0.902 (0.811) Data 0.002 (0.002) Loss 2.0146 (2.0156) Prec@1 46.875 (47.901) Prec@5 77.500 (78.361) Epoch: [54][4740/11272] Time 0.756 (0.811) Data 0.002 (0.002) Loss 2.1785 (2.0158) Prec@1 45.000 (47.901) Prec@5 78.125 (78.355) Epoch: [54][4750/11272] Time 0.764 (0.811) Data 0.002 (0.002) Loss 1.9239 (2.0158) Prec@1 51.250 (47.900) Prec@5 81.875 (78.353) Epoch: [54][4760/11272] Time 0.869 (0.811) Data 0.002 (0.002) Loss 2.1064 (2.0159) Prec@1 41.875 (47.898) Prec@5 75.625 (78.351) Epoch: [54][4770/11272] Time 0.846 (0.811) Data 0.002 (0.002) Loss 2.1277 (2.0160) Prec@1 43.750 (47.895) Prec@5 73.125 (78.349) Epoch: [54][4780/11272] Time 0.725 (0.811) Data 0.001 (0.002) Loss 1.8239 (2.0160) Prec@1 53.125 (47.894) Prec@5 80.000 (78.347) Epoch: [54][4790/11272] Time 0.743 (0.811) Data 0.002 (0.002) Loss 2.0930 (2.0160) Prec@1 47.500 (47.895) Prec@5 75.625 (78.346) Epoch: [54][4800/11272] Time 0.920 (0.811) Data 0.002 (0.002) Loss 1.8310 (2.0161) Prec@1 52.500 (47.892) Prec@5 82.500 (78.343) Epoch: [54][4810/11272] Time 0.828 (0.811) Data 0.002 (0.002) Loss 2.1912 (2.0162) Prec@1 45.625 (47.892) Prec@5 73.125 (78.341) Epoch: [54][4820/11272] Time 0.782 (0.811) Data 0.002 (0.002) Loss 2.0096 (2.0161) Prec@1 52.500 (47.894) Prec@5 81.875 (78.344) Epoch: [54][4830/11272] Time 0.760 (0.811) Data 0.002 (0.002) Loss 1.9679 (2.0161) Prec@1 50.625 (47.893) Prec@5 79.375 (78.345) Epoch: [54][4840/11272] Time 0.839 (0.811) Data 0.002 (0.002) Loss 2.0280 (2.0162) Prec@1 50.000 (47.895) Prec@5 76.250 (78.344) Epoch: [54][4850/11272] Time 0.726 (0.811) Data 0.003 (0.002) Loss 2.1210 (2.0162) Prec@1 47.500 (47.896) Prec@5 77.500 (78.346) Epoch: [54][4860/11272] Time 0.713 (0.811) Data 0.001 (0.002) Loss 1.9662 (2.0162) Prec@1 46.875 (47.893) Prec@5 78.750 (78.345) Epoch: [54][4870/11272] Time 0.827 (0.811) Data 0.002 (0.002) Loss 2.1756 (2.0163) Prec@1 44.375 (47.892) Prec@5 76.875 (78.343) Epoch: [54][4880/11272] Time 0.847 (0.811) Data 0.002 (0.002) Loss 1.9185 (2.0163) Prec@1 50.625 (47.894) Prec@5 78.750 (78.340) Epoch: [54][4890/11272] Time 0.721 (0.811) Data 0.002 (0.002) Loss 1.8372 (2.0164) Prec@1 50.625 (47.891) Prec@5 80.625 (78.338) Epoch: [54][4900/11272] Time 0.715 (0.811) Data 0.001 (0.002) Loss 1.9902 (2.0165) Prec@1 51.875 (47.890) Prec@5 77.500 (78.337) Epoch: [54][4910/11272] Time 0.837 (0.811) Data 0.002 (0.002) Loss 2.0209 (2.0165) Prec@1 45.625 (47.888) Prec@5 80.000 (78.337) Epoch: [54][4920/11272] Time 0.863 (0.811) Data 0.002 (0.002) Loss 2.1697 (2.0163) Prec@1 48.750 (47.888) Prec@5 78.750 (78.342) Epoch: [54][4930/11272] Time 0.755 (0.811) Data 0.001 (0.002) Loss 2.2363 (2.0163) Prec@1 43.750 (47.888) Prec@5 74.375 (78.341) Epoch: [54][4940/11272] Time 0.729 (0.811) Data 0.001 (0.002) Loss 1.7689 (2.0163) Prec@1 53.750 (47.889) Prec@5 82.500 (78.341) Epoch: [54][4950/11272] Time 0.834 (0.811) Data 0.001 (0.002) Loss 2.0351 (2.0164) Prec@1 45.625 (47.889) Prec@5 79.375 (78.340) Epoch: [54][4960/11272] Time 0.840 (0.811) Data 0.001 (0.002) Loss 2.2483 (2.0164) Prec@1 45.625 (47.890) Prec@5 71.875 (78.337) Epoch: [54][4970/11272] Time 0.759 (0.811) Data 0.002 (0.002) Loss 2.0764 (2.0163) Prec@1 45.000 (47.892) Prec@5 73.125 (78.337) Epoch: [54][4980/11272] Time 0.841 (0.811) Data 0.001 (0.002) Loss 1.9009 (2.0161) Prec@1 55.625 (47.896) Prec@5 81.250 (78.340) Epoch: [54][4990/11272] Time 0.862 (0.811) Data 0.002 (0.002) Loss 2.1786 (2.0163) Prec@1 45.625 (47.892) Prec@5 74.375 (78.338) Epoch: [54][5000/11272] Time 0.721 (0.811) Data 0.001 (0.002) Loss 2.4256 (2.0164) Prec@1 44.375 (47.891) Prec@5 70.000 (78.339) Epoch: [54][5010/11272] Time 0.739 (0.811) Data 0.002 (0.002) Loss 1.9897 (2.0163) Prec@1 50.000 (47.893) Prec@5 81.875 (78.342) Epoch: [54][5020/11272] Time 0.885 (0.811) Data 0.002 (0.002) Loss 2.1173 (2.0163) Prec@1 46.875 (47.894) Prec@5 76.875 (78.341) Epoch: [54][5030/11272] Time 0.888 (0.811) Data 0.002 (0.002) Loss 2.0480 (2.0163) Prec@1 46.875 (47.893) Prec@5 75.625 (78.341) Epoch: [54][5040/11272] Time 0.787 (0.811) Data 0.002 (0.002) Loss 2.0903 (2.0164) Prec@1 44.375 (47.891) Prec@5 80.000 (78.339) Epoch: [54][5050/11272] Time 0.776 (0.811) Data 0.002 (0.002) Loss 2.1520 (2.0164) Prec@1 45.000 (47.893) Prec@5 75.625 (78.339) Epoch: [54][5060/11272] Time 0.830 (0.811) Data 0.002 (0.002) Loss 1.7694 (2.0165) Prec@1 48.125 (47.891) Prec@5 82.500 (78.339) Epoch: [54][5070/11272] Time 0.852 (0.811) Data 0.001 (0.002) Loss 2.3593 (2.0166) Prec@1 41.250 (47.886) Prec@5 75.000 (78.336) Epoch: [54][5080/11272] Time 0.777 (0.811) Data 0.002 (0.002) Loss 1.8800 (2.0166) Prec@1 50.625 (47.888) Prec@5 80.000 (78.338) Epoch: [54][5090/11272] Time 0.774 (0.811) Data 0.002 (0.002) Loss 2.0561 (2.0167) Prec@1 46.875 (47.888) Prec@5 78.750 (78.338) Epoch: [54][5100/11272] Time 0.833 (0.811) Data 0.002 (0.002) Loss 1.9485 (2.0166) Prec@1 52.500 (47.890) Prec@5 80.000 (78.338) Epoch: [54][5110/11272] Time 0.818 (0.811) Data 0.002 (0.002) Loss 2.0144 (2.0166) Prec@1 46.875 (47.890) Prec@5 80.000 (78.339) Epoch: [54][5120/11272] Time 0.794 (0.811) Data 0.002 (0.002) Loss 2.1995 (2.0166) Prec@1 42.500 (47.890) Prec@5 73.750 (78.337) Epoch: [54][5130/11272] Time 0.885 (0.811) Data 0.001 (0.002) Loss 1.7841 (2.0166) Prec@1 52.500 (47.891) Prec@5 84.375 (78.339) Epoch: [54][5140/11272] Time 0.839 (0.811) Data 0.002 (0.002) Loss 1.9922 (2.0166) Prec@1 49.375 (47.894) Prec@5 79.375 (78.336) Epoch: [54][5150/11272] Time 0.725 (0.811) Data 0.002 (0.002) Loss 1.8327 (2.0166) Prec@1 55.000 (47.895) Prec@5 81.875 (78.334) Epoch: [54][5160/11272] Time 0.743 (0.811) Data 0.002 (0.002) Loss 1.8158 (2.0166) Prec@1 53.750 (47.896) Prec@5 78.750 (78.334) Epoch: [54][5170/11272] Time 0.838 (0.811) Data 0.001 (0.002) Loss 2.2544 (2.0167) Prec@1 41.250 (47.896) Prec@5 71.250 (78.330) Epoch: [54][5180/11272] Time 0.866 (0.811) Data 0.002 (0.002) Loss 1.9464 (2.0168) Prec@1 47.500 (47.894) Prec@5 78.125 (78.329) Epoch: [54][5190/11272] Time 0.739 (0.811) Data 0.002 (0.002) Loss 2.0332 (2.0168) Prec@1 46.875 (47.895) Prec@5 78.750 (78.327) Epoch: [54][5200/11272] Time 0.748 (0.811) Data 0.002 (0.002) Loss 2.0221 (2.0169) Prec@1 48.125 (47.895) Prec@5 77.500 (78.327) Epoch: [54][5210/11272] Time 0.831 (0.811) Data 0.001 (0.002) Loss 2.4297 (2.0169) Prec@1 44.375 (47.897) Prec@5 70.000 (78.328) Epoch: [54][5220/11272] Time 0.830 (0.811) Data 0.001 (0.002) Loss 1.9033 (2.0168) Prec@1 53.750 (47.903) Prec@5 81.875 (78.329) Epoch: [54][5230/11272] Time 0.732 (0.811) Data 0.002 (0.002) Loss 1.7175 (2.0167) Prec@1 54.375 (47.903) Prec@5 88.125 (78.331) Epoch: [54][5240/11272] Time 0.771 (0.811) Data 0.002 (0.002) Loss 2.0866 (2.0170) Prec@1 43.750 (47.900) Prec@5 76.875 (78.327) Epoch: [54][5250/11272] Time 0.853 (0.811) Data 0.002 (0.002) Loss 2.2993 (2.0170) Prec@1 43.750 (47.903) Prec@5 70.000 (78.325) Epoch: [54][5260/11272] Time 0.739 (0.811) Data 0.001 (0.002) Loss 1.8911 (2.0172) Prec@1 47.500 (47.897) Prec@5 80.625 (78.321) Epoch: [54][5270/11272] Time 0.751 (0.811) Data 0.002 (0.002) Loss 2.1779 (2.0171) Prec@1 43.750 (47.894) Prec@5 71.875 (78.322) Epoch: [54][5280/11272] Time 0.851 (0.811) Data 0.002 (0.002) Loss 2.0412 (2.0170) Prec@1 48.750 (47.897) Prec@5 76.875 (78.322) Epoch: [54][5290/11272] Time 0.836 (0.811) Data 0.002 (0.002) Loss 2.0936 (2.0171) Prec@1 45.625 (47.897) Prec@5 77.500 (78.321) Epoch: [54][5300/11272] Time 0.728 (0.811) Data 0.001 (0.002) Loss 2.0887 (2.0171) Prec@1 46.250 (47.899) Prec@5 75.000 (78.322) Epoch: [54][5310/11272] Time 0.721 (0.811) Data 0.001 (0.002) Loss 1.9958 (2.0172) Prec@1 46.250 (47.896) Prec@5 80.625 (78.320) Epoch: [54][5320/11272] Time 0.857 (0.811) Data 0.002 (0.002) Loss 2.0562 (2.0172) Prec@1 50.000 (47.896) Prec@5 78.125 (78.318) Epoch: [54][5330/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 1.9541 (2.0172) Prec@1 51.875 (47.897) Prec@5 81.250 (78.319) Epoch: [54][5340/11272] Time 0.742 (0.811) Data 0.002 (0.002) Loss 2.1718 (2.0172) Prec@1 43.750 (47.895) Prec@5 73.125 (78.318) Epoch: [54][5350/11272] Time 0.737 (0.810) Data 0.002 (0.002) Loss 2.2441 (2.0173) Prec@1 48.750 (47.897) Prec@5 71.875 (78.317) Epoch: [54][5360/11272] Time 0.873 (0.811) Data 0.002 (0.002) Loss 1.8679 (2.0173) Prec@1 53.750 (47.896) Prec@5 83.125 (78.317) Epoch: [54][5370/11272] Time 0.828 (0.810) Data 0.002 (0.002) Loss 2.0850 (2.0174) Prec@1 46.875 (47.896) Prec@5 78.125 (78.317) Epoch: [54][5380/11272] Time 0.742 (0.810) Data 0.002 (0.002) Loss 2.0993 (2.0175) Prec@1 45.625 (47.896) Prec@5 75.625 (78.316) Epoch: [54][5390/11272] Time 0.836 (0.810) Data 0.002 (0.002) Loss 2.1279 (2.0175) Prec@1 44.375 (47.895) Prec@5 77.500 (78.318) Epoch: [54][5400/11272] Time 0.846 (0.810) Data 0.001 (0.002) Loss 2.0986 (2.0176) Prec@1 49.375 (47.897) Prec@5 77.500 (78.316) Epoch: [54][5410/11272] Time 0.757 (0.810) Data 0.002 (0.002) Loss 2.2697 (2.0176) Prec@1 41.875 (47.893) Prec@5 76.875 (78.315) Epoch: [54][5420/11272] Time 0.742 (0.810) Data 0.001 (0.002) Loss 1.9425 (2.0176) Prec@1 43.750 (47.893) Prec@5 77.500 (78.316) Epoch: [54][5430/11272] Time 0.854 (0.810) Data 0.002 (0.002) Loss 1.9120 (2.0175) Prec@1 52.500 (47.895) Prec@5 78.125 (78.316) Epoch: [54][5440/11272] Time 0.844 (0.810) Data 0.001 (0.002) Loss 2.2813 (2.0175) Prec@1 43.750 (47.896) Prec@5 73.750 (78.317) Epoch: [54][5450/11272] Time 0.737 (0.810) Data 0.002 (0.002) Loss 1.9773 (2.0174) Prec@1 48.750 (47.899) Prec@5 80.625 (78.319) Epoch: [54][5460/11272] Time 0.728 (0.810) Data 0.001 (0.002) Loss 2.0692 (2.0174) Prec@1 43.750 (47.896) Prec@5 75.625 (78.319) Epoch: [54][5470/11272] Time 0.804 (0.810) Data 0.001 (0.002) Loss 1.8232 (2.0175) Prec@1 56.250 (47.894) Prec@5 78.750 (78.318) Epoch: [54][5480/11272] Time 0.838 (0.810) Data 0.001 (0.002) Loss 1.8754 (2.0174) Prec@1 52.500 (47.896) Prec@5 78.125 (78.320) Epoch: [54][5490/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 1.8386 (2.0174) Prec@1 48.125 (47.895) Prec@5 83.750 (78.321) Epoch: [54][5500/11272] Time 0.788 (0.810) Data 0.002 (0.002) Loss 2.0681 (2.0173) Prec@1 46.250 (47.897) Prec@5 76.250 (78.321) Epoch: [54][5510/11272] Time 0.849 (0.810) Data 0.001 (0.002) Loss 2.0220 (2.0173) Prec@1 43.750 (47.896) Prec@5 75.000 (78.321) Epoch: [54][5520/11272] Time 0.735 (0.810) Data 0.003 (0.002) Loss 2.1587 (2.0173) Prec@1 46.875 (47.898) Prec@5 75.625 (78.321) Epoch: [54][5530/11272] Time 0.800 (0.810) Data 0.002 (0.002) Loss 2.1341 (2.0174) Prec@1 46.875 (47.897) Prec@5 73.125 (78.319) Epoch: [54][5540/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 1.9602 (2.0174) Prec@1 53.125 (47.896) Prec@5 80.625 (78.319) Epoch: [54][5550/11272] Time 0.839 (0.810) Data 0.002 (0.002) Loss 1.9858 (2.0175) Prec@1 52.500 (47.897) Prec@5 81.875 (78.319) Epoch: [54][5560/11272] Time 0.731 (0.810) Data 0.001 (0.002) Loss 2.0173 (2.0176) Prec@1 46.250 (47.898) Prec@5 77.500 (78.315) Epoch: [54][5570/11272] Time 0.723 (0.810) Data 0.002 (0.002) Loss 2.0894 (2.0176) Prec@1 45.625 (47.898) Prec@5 76.875 (78.317) Epoch: [54][5580/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 1.9622 (2.0176) Prec@1 46.250 (47.895) Prec@5 83.125 (78.318) Epoch: [54][5590/11272] Time 0.818 (0.810) Data 0.002 (0.002) Loss 2.0987 (2.0178) Prec@1 43.750 (47.892) Prec@5 80.000 (78.316) Epoch: [54][5600/11272] Time 0.768 (0.810) Data 0.002 (0.002) Loss 2.2188 (2.0179) Prec@1 46.250 (47.889) Prec@5 73.125 (78.315) Epoch: [54][5610/11272] Time 0.733 (0.810) Data 0.002 (0.002) Loss 2.1312 (2.0177) Prec@1 43.750 (47.895) Prec@5 79.375 (78.320) Epoch: [54][5620/11272] Time 0.832 (0.810) Data 0.001 (0.002) Loss 1.9475 (2.0177) Prec@1 51.250 (47.896) Prec@5 79.375 (78.321) Epoch: [54][5630/11272] Time 0.901 (0.810) Data 0.001 (0.002) Loss 1.9421 (2.0175) Prec@1 50.000 (47.903) Prec@5 80.000 (78.325) Epoch: [54][5640/11272] Time 0.758 (0.810) Data 0.002 (0.002) Loss 1.9940 (2.0176) Prec@1 48.750 (47.901) Prec@5 78.750 (78.325) Epoch: [54][5650/11272] Time 0.814 (0.810) Data 0.002 (0.002) Loss 1.9515 (2.0177) Prec@1 50.000 (47.899) Prec@5 78.750 (78.323) Epoch: [54][5660/11272] Time 0.835 (0.810) Data 0.001 (0.002) Loss 1.9525 (2.0176) Prec@1 52.500 (47.904) Prec@5 81.250 (78.326) Epoch: [54][5670/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.0596 (2.0177) Prec@1 43.125 (47.902) Prec@5 78.750 (78.325) Epoch: [54][5680/11272] Time 0.752 (0.810) Data 0.002 (0.002) Loss 2.1491 (2.0178) Prec@1 45.625 (47.900) Prec@5 75.000 (78.322) Epoch: [54][5690/11272] Time 0.841 (0.810) Data 0.001 (0.002) Loss 1.8192 (2.0178) Prec@1 46.875 (47.899) Prec@5 83.125 (78.322) Epoch: [54][5700/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.1742 (2.0177) Prec@1 45.625 (47.900) Prec@5 75.000 (78.323) Epoch: [54][5710/11272] Time 0.743 (0.810) Data 0.002 (0.002) Loss 2.0299 (2.0176) Prec@1 52.500 (47.903) Prec@5 78.125 (78.324) Epoch: [54][5720/11272] Time 0.744 (0.810) Data 0.002 (0.002) Loss 2.0472 (2.0178) Prec@1 45.625 (47.899) Prec@5 73.750 (78.321) Epoch: [54][5730/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 2.1221 (2.0178) Prec@1 47.500 (47.899) Prec@5 76.250 (78.319) Epoch: [54][5740/11272] Time 0.835 (0.810) Data 0.002 (0.002) Loss 2.0471 (2.0179) Prec@1 48.125 (47.898) Prec@5 76.250 (78.318) Epoch: [54][5750/11272] Time 0.723 (0.810) Data 0.002 (0.002) Loss 1.9584 (2.0180) Prec@1 47.500 (47.897) Prec@5 79.375 (78.315) Epoch: [54][5760/11272] Time 0.762 (0.810) Data 0.001 (0.002) Loss 1.9649 (2.0181) Prec@1 49.375 (47.897) Prec@5 80.625 (78.312) Epoch: [54][5770/11272] Time 0.867 (0.810) Data 0.002 (0.002) Loss 2.2253 (2.0182) Prec@1 41.875 (47.894) Prec@5 75.625 (78.309) Epoch: [54][5780/11272] Time 0.764 (0.810) Data 0.004 (0.002) Loss 1.7981 (2.0182) Prec@1 50.000 (47.894) Prec@5 80.000 (78.308) Epoch: [54][5790/11272] Time 0.728 (0.810) Data 0.002 (0.002) Loss 2.0903 (2.0182) Prec@1 46.875 (47.894) Prec@5 81.875 (78.308) Epoch: [54][5800/11272] Time 0.871 (0.810) Data 0.002 (0.002) Loss 1.7868 (2.0182) Prec@1 51.875 (47.896) Prec@5 83.750 (78.307) Epoch: [54][5810/11272] Time 0.893 (0.810) Data 0.002 (0.002) Loss 1.9574 (2.0182) Prec@1 51.250 (47.897) Prec@5 75.625 (78.305) Epoch: [54][5820/11272] Time 0.751 (0.810) Data 0.002 (0.002) Loss 1.9909 (2.0182) Prec@1 48.125 (47.897) Prec@5 76.875 (78.305) Epoch: [54][5830/11272] Time 0.754 (0.810) Data 0.002 (0.002) Loss 1.9981 (2.0183) Prec@1 48.750 (47.896) Prec@5 75.000 (78.303) Epoch: [54][5840/11272] Time 0.852 (0.810) Data 0.002 (0.002) Loss 1.9954 (2.0183) Prec@1 48.750 (47.895) Prec@5 82.500 (78.304) Epoch: [54][5850/11272] Time 0.876 (0.810) Data 0.002 (0.002) Loss 1.9053 (2.0183) Prec@1 51.250 (47.893) Prec@5 80.000 (78.303) Epoch: [54][5860/11272] Time 0.758 (0.810) Data 0.001 (0.002) Loss 2.1435 (2.0183) Prec@1 47.500 (47.894) Prec@5 70.000 (78.302) Epoch: [54][5870/11272] Time 0.745 (0.810) Data 0.002 (0.002) Loss 1.8791 (2.0183) Prec@1 46.250 (47.895) Prec@5 84.375 (78.304) Epoch: [54][5880/11272] Time 0.906 (0.810) Data 0.002 (0.002) Loss 2.1960 (2.0182) Prec@1 46.875 (47.897) Prec@5 73.750 (78.304) Epoch: [54][5890/11272] Time 0.839 (0.810) Data 0.002 (0.002) Loss 1.8368 (2.0183) Prec@1 50.625 (47.894) Prec@5 79.375 (78.303) Epoch: [54][5900/11272] Time 0.765 (0.810) Data 0.002 (0.002) Loss 2.0030 (2.0184) Prec@1 48.125 (47.893) Prec@5 78.750 (78.300) Epoch: [54][5910/11272] Time 0.888 (0.810) Data 0.002 (0.002) Loss 2.0931 (2.0185) Prec@1 46.250 (47.889) Prec@5 75.000 (78.298) Epoch: [54][5920/11272] Time 0.860 (0.810) Data 0.002 (0.002) Loss 1.9654 (2.0186) Prec@1 48.125 (47.888) Prec@5 80.625 (78.294) Epoch: [54][5930/11272] Time 0.759 (0.810) Data 0.001 (0.002) Loss 2.1828 (2.0187) Prec@1 43.750 (47.890) Prec@5 76.875 (78.294) Epoch: [54][5940/11272] Time 0.756 (0.810) Data 0.002 (0.002) Loss 2.1104 (2.0187) Prec@1 51.875 (47.891) Prec@5 74.375 (78.293) Epoch: [54][5950/11272] Time 0.839 (0.810) Data 0.002 (0.002) Loss 2.0446 (2.0187) Prec@1 46.875 (47.891) Prec@5 79.375 (78.293) Epoch: [54][5960/11272] Time 0.820 (0.810) Data 0.001 (0.002) Loss 2.0533 (2.0187) Prec@1 50.625 (47.892) Prec@5 76.875 (78.294) Epoch: [54][5970/11272] Time 0.721 (0.810) Data 0.002 (0.002) Loss 2.0615 (2.0188) Prec@1 41.875 (47.888) Prec@5 76.250 (78.294) Epoch: [54][5980/11272] Time 0.752 (0.810) Data 0.002 (0.002) Loss 1.8904 (2.0187) Prec@1 48.125 (47.892) Prec@5 81.875 (78.295) Epoch: [54][5990/11272] Time 0.870 (0.810) Data 0.002 (0.002) Loss 2.0909 (2.0187) Prec@1 48.125 (47.892) Prec@5 76.875 (78.295) Epoch: [54][6000/11272] Time 0.841 (0.810) Data 0.002 (0.002) Loss 2.1667 (2.0187) Prec@1 47.500 (47.893) Prec@5 76.875 (78.294) Epoch: [54][6010/11272] Time 0.744 (0.810) Data 0.002 (0.002) Loss 2.2497 (2.0186) Prec@1 45.625 (47.892) Prec@5 75.000 (78.297) Epoch: [54][6020/11272] Time 0.762 (0.810) Data 0.002 (0.002) Loss 1.8328 (2.0186) Prec@1 50.000 (47.890) Prec@5 79.375 (78.297) Epoch: [54][6030/11272] Time 0.862 (0.810) Data 0.002 (0.002) Loss 2.0179 (2.0186) Prec@1 49.375 (47.894) Prec@5 80.000 (78.300) Epoch: [54][6040/11272] Time 0.880 (0.810) Data 0.002 (0.002) Loss 2.0292 (2.0186) Prec@1 48.750 (47.892) Prec@5 81.250 (78.301) Epoch: [54][6050/11272] Time 0.744 (0.810) Data 0.002 (0.002) Loss 2.2312 (2.0186) Prec@1 45.625 (47.890) Prec@5 74.375 (78.300) Epoch: [54][6060/11272] Time 0.842 (0.810) Data 0.002 (0.002) Loss 2.1028 (2.0188) Prec@1 51.875 (47.889) Prec@5 75.625 (78.299) Epoch: [54][6070/11272] Time 0.862 (0.810) Data 0.002 (0.002) Loss 2.1148 (2.0187) Prec@1 48.125 (47.889) Prec@5 74.375 (78.299) Epoch: [54][6080/11272] Time 0.760 (0.810) Data 0.002 (0.002) Loss 1.9905 (2.0187) Prec@1 45.000 (47.887) Prec@5 78.125 (78.301) Epoch: [54][6090/11272] Time 0.747 (0.810) Data 0.001 (0.002) Loss 2.1265 (2.0188) Prec@1 44.375 (47.883) Prec@5 75.625 (78.301) Epoch: [54][6100/11272] Time 0.873 (0.810) Data 0.001 (0.002) Loss 2.0276 (2.0188) Prec@1 47.500 (47.882) Prec@5 77.500 (78.302) Epoch: [54][6110/11272] Time 0.822 (0.810) Data 0.002 (0.002) Loss 2.0381 (2.0188) Prec@1 48.125 (47.880) Prec@5 80.000 (78.303) Epoch: [54][6120/11272] Time 0.727 (0.810) Data 0.001 (0.002) Loss 2.1857 (2.0188) Prec@1 41.875 (47.880) Prec@5 73.125 (78.303) Epoch: [54][6130/11272] Time 0.732 (0.810) Data 0.002 (0.002) Loss 2.1704 (2.0187) Prec@1 43.125 (47.877) Prec@5 76.875 (78.305) Epoch: [54][6140/11272] Time 0.860 (0.810) Data 0.001 (0.002) Loss 2.1226 (2.0187) Prec@1 44.375 (47.876) Prec@5 78.750 (78.307) Epoch: [54][6150/11272] Time 0.837 (0.810) Data 0.001 (0.002) Loss 1.9368 (2.0187) Prec@1 52.500 (47.877) Prec@5 80.625 (78.306) Epoch: [54][6160/11272] Time 0.729 (0.810) Data 0.001 (0.002) Loss 2.0629 (2.0188) Prec@1 48.125 (47.877) Prec@5 77.500 (78.303) Epoch: [54][6170/11272] Time 0.726 (0.810) Data 0.002 (0.002) Loss 2.0226 (2.0189) Prec@1 46.250 (47.876) Prec@5 78.750 (78.302) Epoch: [54][6180/11272] Time 0.895 (0.810) Data 0.002 (0.002) Loss 1.8776 (2.0188) Prec@1 46.250 (47.875) Prec@5 84.375 (78.303) Epoch: [54][6190/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.1137 (2.0189) Prec@1 46.250 (47.874) Prec@5 75.000 (78.301) Epoch: [54][6200/11272] Time 0.767 (0.810) Data 0.002 (0.002) Loss 1.9434 (2.0189) Prec@1 46.250 (47.873) Prec@5 77.500 (78.302) Epoch: [54][6210/11272] Time 0.857 (0.810) Data 0.002 (0.002) Loss 1.8977 (2.0188) Prec@1 52.500 (47.873) Prec@5 81.875 (78.304) Epoch: [54][6220/11272] Time 0.920 (0.810) Data 0.002 (0.002) Loss 1.9662 (2.0188) Prec@1 54.375 (47.875) Prec@5 78.125 (78.304) Epoch: [54][6230/11272] Time 0.712 (0.810) Data 0.001 (0.002) Loss 2.2767 (2.0189) Prec@1 45.000 (47.873) Prec@5 73.125 (78.302) Epoch: [54][6240/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 1.9896 (2.0190) Prec@1 50.000 (47.870) Prec@5 79.375 (78.300) Epoch: [54][6250/11272] Time 0.830 (0.810) Data 0.001 (0.002) Loss 2.2152 (2.0191) Prec@1 41.875 (47.868) Prec@5 76.875 (78.299) Epoch: [54][6260/11272] Time 0.893 (0.810) Data 0.002 (0.002) Loss 2.0305 (2.0192) Prec@1 51.250 (47.867) Prec@5 78.125 (78.298) Epoch: [54][6270/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 1.9006 (2.0191) Prec@1 43.125 (47.869) Prec@5 80.000 (78.300) Epoch: [54][6280/11272] Time 0.794 (0.809) Data 0.002 (0.002) Loss 1.7957 (2.0191) Prec@1 51.250 (47.869) Prec@5 83.750 (78.300) Epoch: [54][6290/11272] Time 0.879 (0.809) Data 0.002 (0.002) Loss 2.1524 (2.0190) Prec@1 50.000 (47.872) Prec@5 78.125 (78.301) Epoch: [54][6300/11272] Time 0.846 (0.809) Data 0.001 (0.002) Loss 1.7401 (2.0190) Prec@1 50.625 (47.871) Prec@5 83.750 (78.302) Epoch: [54][6310/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 2.2863 (2.0190) Prec@1 40.000 (47.872) Prec@5 76.250 (78.304) Epoch: [54][6320/11272] Time 0.807 (0.809) Data 0.001 (0.002) Loss 2.1730 (2.0192) Prec@1 45.000 (47.869) Prec@5 76.250 (78.302) Epoch: [54][6330/11272] Time 0.891 (0.809) Data 0.001 (0.002) Loss 2.0622 (2.0191) Prec@1 46.250 (47.871) Prec@5 78.125 (78.303) Epoch: [54][6340/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 2.3062 (2.0191) Prec@1 41.875 (47.871) Prec@5 72.500 (78.302) Epoch: [54][6350/11272] Time 0.763 (0.809) Data 0.002 (0.002) Loss 2.0522 (2.0191) Prec@1 50.000 (47.872) Prec@5 78.125 (78.303) Epoch: [54][6360/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 2.0792 (2.0190) Prec@1 45.625 (47.871) Prec@5 77.500 (78.304) Epoch: [54][6370/11272] Time 0.826 (0.809) Data 0.001 (0.002) Loss 2.1796 (2.0192) Prec@1 38.125 (47.865) Prec@5 76.875 (78.301) Epoch: [54][6380/11272] Time 0.797 (0.809) Data 0.002 (0.002) Loss 2.0843 (2.0191) Prec@1 45.625 (47.866) Prec@5 75.000 (78.299) Epoch: [54][6390/11272] Time 0.700 (0.809) Data 0.001 (0.002) Loss 2.1901 (2.0191) Prec@1 43.750 (47.865) Prec@5 81.875 (78.300) Epoch: [54][6400/11272] Time 0.862 (0.809) Data 0.001 (0.002) Loss 1.8893 (2.0191) Prec@1 50.625 (47.865) Prec@5 82.500 (78.302) Epoch: [54][6410/11272] Time 0.839 (0.809) Data 0.001 (0.002) Loss 2.0560 (2.0192) Prec@1 48.125 (47.864) Prec@5 75.000 (78.300) Epoch: [54][6420/11272] Time 0.730 (0.809) Data 0.002 (0.002) Loss 2.1777 (2.0193) Prec@1 43.750 (47.861) Prec@5 72.500 (78.297) Epoch: [54][6430/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 2.0555 (2.0192) Prec@1 45.625 (47.863) Prec@5 78.125 (78.300) Epoch: [54][6440/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.0177 (2.0193) Prec@1 47.500 (47.859) Prec@5 79.375 (78.298) Epoch: [54][6450/11272] Time 0.712 (0.809) Data 0.003 (0.002) Loss 2.2436 (2.0194) Prec@1 45.000 (47.857) Prec@5 75.625 (78.296) Epoch: [54][6460/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 1.9006 (2.0194) Prec@1 53.125 (47.859) Prec@5 78.125 (78.294) Epoch: [54][6470/11272] Time 0.836 (0.809) Data 0.002 (0.002) Loss 1.9444 (2.0193) Prec@1 51.250 (47.860) Prec@5 80.000 (78.296) Epoch: [54][6480/11272] Time 0.931 (0.809) Data 0.002 (0.002) Loss 1.8715 (2.0193) Prec@1 48.750 (47.862) Prec@5 82.500 (78.297) Epoch: [54][6490/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.1086 (2.0193) Prec@1 48.125 (47.863) Prec@5 76.250 (78.297) Epoch: [54][6500/11272] Time 0.757 (0.809) Data 0.002 (0.002) Loss 2.0954 (2.0192) Prec@1 46.250 (47.865) Prec@5 71.875 (78.299) Epoch: [54][6510/11272] Time 0.855 (0.809) Data 0.002 (0.002) Loss 2.1808 (2.0192) Prec@1 44.375 (47.866) Prec@5 72.500 (78.298) Epoch: [54][6520/11272] Time 0.845 (0.809) Data 0.002 (0.002) Loss 2.0578 (2.0191) Prec@1 45.000 (47.868) Prec@5 80.000 (78.299) Epoch: [54][6530/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.1042 (2.0190) Prec@1 43.750 (47.868) Prec@5 79.375 (78.300) Epoch: [54][6540/11272] Time 0.722 (0.809) Data 0.001 (0.002) Loss 1.9422 (2.0189) Prec@1 50.000 (47.871) Prec@5 78.750 (78.301) Epoch: [54][6550/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.0099 (2.0189) Prec@1 47.500 (47.872) Prec@5 79.375 (78.301) Epoch: [54][6560/11272] Time 0.840 (0.809) Data 0.002 (0.002) Loss 2.1404 (2.0188) Prec@1 46.250 (47.872) Prec@5 80.000 (78.303) Epoch: [54][6570/11272] Time 0.727 (0.809) Data 0.002 (0.002) Loss 2.1192 (2.0189) Prec@1 50.625 (47.873) Prec@5 76.875 (78.300) Epoch: [54][6580/11272] Time 0.830 (0.809) Data 0.002 (0.002) Loss 1.9309 (2.0189) Prec@1 54.375 (47.873) Prec@5 78.750 (78.302) Epoch: [54][6590/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.2335 (2.0189) Prec@1 39.375 (47.876) Prec@5 74.375 (78.303) Epoch: [54][6600/11272] Time 0.735 (0.809) Data 0.002 (0.002) Loss 1.8715 (2.0189) Prec@1 48.125 (47.876) Prec@5 80.625 (78.303) Epoch: [54][6610/11272] Time 0.727 (0.809) Data 0.002 (0.002) Loss 2.2140 (2.0188) Prec@1 43.750 (47.876) Prec@5 76.875 (78.305) Epoch: [54][6620/11272] Time 0.834 (0.809) Data 0.001 (0.002) Loss 2.0084 (2.0189) Prec@1 46.875 (47.872) Prec@5 75.000 (78.304) Epoch: [54][6630/11272] Time 0.877 (0.809) Data 0.002 (0.002) Loss 2.2053 (2.0190) Prec@1 42.500 (47.869) Prec@5 76.250 (78.305) Epoch: [54][6640/11272] Time 0.772 (0.809) Data 0.002 (0.002) Loss 1.9815 (2.0189) Prec@1 49.375 (47.870) Prec@5 79.375 (78.307) Epoch: [54][6650/11272] Time 0.715 (0.809) Data 0.001 (0.002) Loss 1.9556 (2.0189) Prec@1 49.375 (47.871) Prec@5 80.000 (78.304) Epoch: [54][6660/11272] Time 0.841 (0.809) Data 0.002 (0.002) Loss 2.0744 (2.0189) Prec@1 50.000 (47.873) Prec@5 76.250 (78.303) Epoch: [54][6670/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.0377 (2.0190) Prec@1 50.000 (47.871) Prec@5 75.000 (78.301) Epoch: [54][6680/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 1.9405 (2.0192) Prec@1 48.125 (47.871) Prec@5 83.125 (78.299) Epoch: [54][6690/11272] Time 0.741 (0.809) Data 0.001 (0.002) Loss 1.9293 (2.0193) Prec@1 45.625 (47.867) Prec@5 80.000 (78.298) Epoch: [54][6700/11272] Time 0.858 (0.809) Data 0.002 (0.002) Loss 1.8654 (2.0193) Prec@1 53.750 (47.867) Prec@5 80.625 (78.298) Epoch: [54][6710/11272] Time 0.760 (0.809) Data 0.003 (0.002) Loss 2.4067 (2.0192) Prec@1 40.625 (47.871) Prec@5 73.125 (78.300) Epoch: [54][6720/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.1452 (2.0192) Prec@1 45.000 (47.871) Prec@5 76.250 (78.298) Epoch: [54][6730/11272] Time 0.825 (0.809) Data 0.002 (0.002) Loss 2.1694 (2.0193) Prec@1 45.000 (47.867) Prec@5 68.125 (78.295) Epoch: [54][6740/11272] Time 0.848 (0.809) Data 0.002 (0.002) Loss 2.0175 (2.0194) Prec@1 50.625 (47.866) Prec@5 80.625 (78.294) Epoch: [54][6750/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.1869 (2.0194) Prec@1 45.000 (47.868) Prec@5 76.875 (78.294) Epoch: [54][6760/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 1.8211 (2.0194) Prec@1 47.500 (47.865) Prec@5 84.375 (78.295) Epoch: [54][6770/11272] Time 0.837 (0.809) Data 0.002 (0.002) Loss 2.1497 (2.0194) Prec@1 46.875 (47.869) Prec@5 76.875 (78.295) Epoch: [54][6780/11272] Time 0.874 (0.809) Data 0.002 (0.002) Loss 1.9046 (2.0193) Prec@1 50.000 (47.871) Prec@5 77.500 (78.298) Epoch: [54][6790/11272] Time 0.702 (0.809) Data 0.001 (0.002) Loss 1.9378 (2.0193) Prec@1 50.625 (47.871) Prec@5 78.125 (78.297) Epoch: [54][6800/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 1.7195 (2.0194) Prec@1 53.750 (47.871) Prec@5 83.750 (78.296) Epoch: [54][6810/11272] Time 0.843 (0.809) Data 0.001 (0.002) Loss 1.9581 (2.0194) Prec@1 48.750 (47.872) Prec@5 76.875 (78.294) Epoch: [54][6820/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 1.9619 (2.0194) Prec@1 48.125 (47.871) Prec@5 79.375 (78.292) Epoch: [54][6830/11272] Time 0.777 (0.809) Data 0.001 (0.002) Loss 1.9145 (2.0194) Prec@1 45.000 (47.871) Prec@5 82.500 (78.292) Epoch: [54][6840/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 2.0609 (2.0193) Prec@1 51.250 (47.872) Prec@5 76.875 (78.293) Epoch: [54][6850/11272] Time 0.831 (0.809) Data 0.002 (0.002) Loss 2.1002 (2.0195) Prec@1 47.500 (47.870) Prec@5 76.250 (78.290) Epoch: [54][6860/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 1.8064 (2.0194) Prec@1 53.750 (47.872) Prec@5 80.000 (78.292) Epoch: [54][6870/11272] Time 0.751 (0.809) Data 0.002 (0.002) Loss 1.8229 (2.0194) Prec@1 50.000 (47.871) Prec@5 81.250 (78.293) Epoch: [54][6880/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 1.9353 (2.0193) Prec@1 47.500 (47.873) Prec@5 78.750 (78.295) Epoch: [54][6890/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.0561 (2.0193) Prec@1 46.875 (47.873) Prec@5 78.750 (78.296) Epoch: [54][6900/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 1.8488 (2.0194) Prec@1 51.250 (47.873) Prec@5 81.250 (78.294) Epoch: [54][6910/11272] Time 0.744 (0.809) Data 0.002 (0.002) Loss 2.0528 (2.0194) Prec@1 46.875 (47.873) Prec@5 79.375 (78.294) Epoch: [54][6920/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.0780 (2.0194) Prec@1 45.000 (47.873) Prec@5 78.125 (78.295) Epoch: [54][6930/11272] Time 0.882 (0.809) Data 0.001 (0.002) Loss 2.2201 (2.0195) Prec@1 41.250 (47.872) Prec@5 77.500 (78.297) Epoch: [54][6940/11272] Time 0.762 (0.809) Data 0.002 (0.002) Loss 1.9518 (2.0194) Prec@1 48.750 (47.874) Prec@5 80.000 (78.298) Epoch: [54][6950/11272] Time 0.777 (0.809) Data 0.002 (0.002) Loss 1.7361 (2.0194) Prec@1 48.125 (47.874) Prec@5 90.625 (78.299) Epoch: [54][6960/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 2.1254 (2.0194) Prec@1 42.500 (47.868) Prec@5 79.375 (78.299) Epoch: [54][6970/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 1.8488 (2.0195) Prec@1 58.125 (47.867) Prec@5 81.250 (78.298) Epoch: [54][6980/11272] Time 0.725 (0.809) Data 0.002 (0.002) Loss 1.9921 (2.0194) Prec@1 47.500 (47.866) Prec@5 78.750 (78.300) Epoch: [54][6990/11272] Time 0.826 (0.809) Data 0.002 (0.002) Loss 1.9508 (2.0194) Prec@1 50.000 (47.865) Prec@5 81.875 (78.298) Epoch: [54][7000/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 1.8837 (2.0194) Prec@1 51.250 (47.866) Prec@5 86.875 (78.301) Epoch: [54][7010/11272] Time 0.731 (0.809) Data 0.002 (0.002) Loss 1.9751 (2.0195) Prec@1 50.625 (47.865) Prec@5 78.750 (78.298) Epoch: [54][7020/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.2530 (2.0196) Prec@1 48.750 (47.865) Prec@5 71.875 (78.297) Epoch: [54][7030/11272] Time 0.873 (0.809) Data 0.002 (0.002) Loss 1.9284 (2.0195) Prec@1 50.625 (47.865) Prec@5 81.250 (78.298) Epoch: [54][7040/11272] Time 0.863 (0.809) Data 0.002 (0.002) Loss 1.9714 (2.0196) Prec@1 50.000 (47.863) Prec@5 79.375 (78.296) Epoch: [54][7050/11272] Time 0.725 (0.809) Data 0.001 (0.002) Loss 2.1686 (2.0197) Prec@1 50.000 (47.860) Prec@5 76.250 (78.295) Epoch: [54][7060/11272] Time 0.771 (0.809) Data 0.002 (0.002) Loss 1.8485 (2.0198) Prec@1 51.250 (47.860) Prec@5 79.375 (78.294) Epoch: [54][7070/11272] Time 0.828 (0.809) Data 0.002 (0.002) Loss 2.0475 (2.0197) Prec@1 46.875 (47.862) Prec@5 80.000 (78.296) Epoch: [54][7080/11272] Time 0.828 (0.809) Data 0.001 (0.002) Loss 1.9721 (2.0196) Prec@1 51.875 (47.861) Prec@5 74.375 (78.295) Epoch: [54][7090/11272] Time 0.761 (0.809) Data 0.002 (0.002) Loss 2.0634 (2.0197) Prec@1 46.250 (47.860) Prec@5 76.875 (78.294) Epoch: [54][7100/11272] Time 0.810 (0.809) Data 0.002 (0.002) Loss 2.0797 (2.0197) Prec@1 48.125 (47.860) Prec@5 83.125 (78.294) Epoch: [54][7110/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.1192 (2.0197) Prec@1 47.500 (47.859) Prec@5 75.000 (78.293) Epoch: [54][7120/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.1099 (2.0197) Prec@1 47.500 (47.857) Prec@5 73.750 (78.293) Epoch: [54][7130/11272] Time 0.734 (0.809) Data 0.002 (0.002) Loss 1.7648 (2.0197) Prec@1 50.625 (47.858) Prec@5 83.125 (78.295) Epoch: [54][7140/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.2022 (2.0197) Prec@1 46.250 (47.857) Prec@5 75.000 (78.294) Epoch: [54][7150/11272] Time 0.809 (0.809) Data 0.001 (0.002) Loss 2.0340 (2.0197) Prec@1 49.375 (47.857) Prec@5 81.250 (78.295) Epoch: [54][7160/11272] Time 0.737 (0.809) Data 0.002 (0.002) Loss 2.0576 (2.0198) Prec@1 46.875 (47.857) Prec@5 80.000 (78.296) Epoch: [54][7170/11272] Time 0.753 (0.809) Data 0.002 (0.002) Loss 2.0838 (2.0197) Prec@1 45.625 (47.858) Prec@5 75.000 (78.296) Epoch: [54][7180/11272] Time 0.882 (0.809) Data 0.002 (0.002) Loss 1.9959 (2.0198) Prec@1 45.000 (47.853) Prec@5 80.625 (78.295) Epoch: [54][7190/11272] Time 0.845 (0.809) Data 0.002 (0.002) Loss 2.1909 (2.0198) Prec@1 46.875 (47.855) Prec@5 71.250 (78.296) Epoch: [54][7200/11272] Time 0.789 (0.809) Data 0.002 (0.002) Loss 1.9585 (2.0197) Prec@1 48.750 (47.858) Prec@5 77.500 (78.296) Epoch: [54][7210/11272] Time 0.736 (0.809) Data 0.002 (0.002) Loss 1.6336 (2.0195) Prec@1 57.500 (47.860) Prec@5 86.875 (78.300) Epoch: [54][7220/11272] Time 0.864 (0.809) Data 0.002 (0.002) Loss 2.0163 (2.0195) Prec@1 47.500 (47.863) Prec@5 76.875 (78.300) Epoch: [54][7230/11272] Time 0.843 (0.809) Data 0.002 (0.002) Loss 1.8467 (2.0193) Prec@1 55.000 (47.867) Prec@5 80.625 (78.302) Epoch: [54][7240/11272] Time 0.785 (0.809) Data 0.003 (0.002) Loss 1.8329 (2.0193) Prec@1 49.375 (47.867) Prec@5 81.875 (78.302) Epoch: [54][7250/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 2.0467 (2.0194) Prec@1 48.125 (47.865) Prec@5 78.750 (78.302) Epoch: [54][7260/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 1.9126 (2.0194) Prec@1 49.375 (47.866) Prec@5 76.875 (78.301) Epoch: [54][7270/11272] Time 0.732 (0.809) Data 0.002 (0.002) Loss 1.9430 (2.0194) Prec@1 51.250 (47.864) Prec@5 76.875 (78.302) Epoch: [54][7280/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 1.9728 (2.0194) Prec@1 50.000 (47.863) Prec@5 83.125 (78.301) Epoch: [54][7290/11272] Time 0.846 (0.809) Data 0.002 (0.002) Loss 2.0249 (2.0194) Prec@1 48.125 (47.861) Prec@5 78.125 (78.303) Epoch: [54][7300/11272] Time 0.903 (0.809) Data 0.002 (0.002) Loss 2.0443 (2.0194) Prec@1 48.125 (47.860) Prec@5 80.000 (78.303) Epoch: [54][7310/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 1.8961 (2.0193) Prec@1 51.875 (47.862) Prec@5 83.125 (78.305) Epoch: [54][7320/11272] Time 0.751 (0.809) Data 0.002 (0.002) Loss 2.1850 (2.0194) Prec@1 42.500 (47.859) Prec@5 76.250 (78.303) Epoch: [54][7330/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 1.9285 (2.0193) Prec@1 55.625 (47.860) Prec@5 81.250 (78.302) Epoch: [54][7340/11272] Time 0.938 (0.809) Data 0.002 (0.002) Loss 2.1083 (2.0194) Prec@1 51.250 (47.860) Prec@5 77.500 (78.302) Epoch: [54][7350/11272] Time 0.737 (0.809) Data 0.002 (0.002) Loss 2.1774 (2.0195) Prec@1 41.250 (47.860) Prec@5 75.625 (78.301) Epoch: [54][7360/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.1127 (2.0195) Prec@1 45.000 (47.860) Prec@5 72.500 (78.301) Epoch: [54][7370/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.1510 (2.0195) Prec@1 43.750 (47.857) Prec@5 76.875 (78.299) Epoch: [54][7380/11272] Time 0.774 (0.808) Data 0.005 (0.002) Loss 2.2775 (2.0195) Prec@1 43.750 (47.857) Prec@5 72.500 (78.300) Epoch: [54][7390/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 2.0463 (2.0195) Prec@1 45.625 (47.855) Prec@5 78.125 (78.299) Epoch: [54][7400/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 2.2092 (2.0196) Prec@1 43.125 (47.852) Prec@5 74.375 (78.297) Epoch: [54][7410/11272] Time 0.894 (0.809) Data 0.002 (0.002) Loss 1.7470 (2.0195) Prec@1 56.250 (47.854) Prec@5 80.000 (78.297) Epoch: [54][7420/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 1.9096 (2.0195) Prec@1 46.250 (47.854) Prec@5 80.625 (78.297) Epoch: [54][7430/11272] Time 0.724 (0.808) Data 0.002 (0.002) Loss 1.8111 (2.0194) Prec@1 51.250 (47.855) Prec@5 81.250 (78.299) Epoch: [54][7440/11272] Time 0.852 (0.809) Data 0.002 (0.002) Loss 2.0636 (2.0195) Prec@1 46.250 (47.853) Prec@5 80.000 (78.299) Epoch: [54][7450/11272] Time 0.890 (0.808) Data 0.002 (0.002) Loss 1.9572 (2.0195) Prec@1 49.375 (47.856) Prec@5 77.500 (78.298) Epoch: [54][7460/11272] Time 0.775 (0.808) Data 0.002 (0.002) Loss 1.9668 (2.0196) Prec@1 57.500 (47.855) Prec@5 80.000 (78.297) Epoch: [54][7470/11272] Time 0.760 (0.808) Data 0.001 (0.002) Loss 1.9640 (2.0197) Prec@1 45.000 (47.853) Prec@5 77.500 (78.295) Epoch: [54][7480/11272] Time 0.942 (0.808) Data 0.001 (0.002) Loss 1.7919 (2.0197) Prec@1 52.500 (47.853) Prec@5 81.250 (78.297) Epoch: [54][7490/11272] Time 0.885 (0.808) Data 0.002 (0.002) Loss 2.2103 (2.0197) Prec@1 46.875 (47.852) Prec@5 76.875 (78.298) Epoch: [54][7500/11272] Time 0.724 (0.808) Data 0.001 (0.002) Loss 1.9452 (2.0197) Prec@1 50.625 (47.853) Prec@5 81.250 (78.297) Epoch: [54][7510/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 1.9183 (2.0196) Prec@1 48.750 (47.855) Prec@5 78.750 (78.299) Epoch: [54][7520/11272] Time 0.862 (0.808) Data 0.001 (0.002) Loss 2.2771 (2.0195) Prec@1 44.375 (47.857) Prec@5 75.625 (78.301) Epoch: [54][7530/11272] Time 0.760 (0.808) Data 0.001 (0.002) Loss 2.1220 (2.0195) Prec@1 45.625 (47.854) Prec@5 78.750 (78.300) Epoch: [54][7540/11272] Time 0.798 (0.808) Data 0.002 (0.002) Loss 2.0375 (2.0196) Prec@1 48.125 (47.856) Prec@5 73.750 (78.299) Epoch: [54][7550/11272] Time 0.818 (0.808) Data 0.001 (0.002) Loss 2.0592 (2.0195) Prec@1 41.875 (47.857) Prec@5 77.500 (78.301) Epoch: [54][7560/11272] Time 0.859 (0.808) Data 0.001 (0.002) Loss 2.0972 (2.0195) Prec@1 43.125 (47.856) Prec@5 79.375 (78.299) Epoch: [54][7570/11272] Time 0.736 (0.808) Data 0.001 (0.002) Loss 1.9808 (2.0195) Prec@1 45.625 (47.855) Prec@5 80.000 (78.298) Epoch: [54][7580/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.1687 (2.0195) Prec@1 38.125 (47.857) Prec@5 77.500 (78.299) Epoch: [54][7590/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 1.8807 (2.0194) Prec@1 50.000 (47.859) Prec@5 84.375 (78.301) Epoch: [54][7600/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.0817 (2.0194) Prec@1 46.250 (47.859) Prec@5 81.875 (78.302) Epoch: [54][7610/11272] Time 0.723 (0.808) Data 0.002 (0.002) Loss 1.9965 (2.0195) Prec@1 50.000 (47.857) Prec@5 76.250 (78.301) Epoch: [54][7620/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.1364 (2.0195) Prec@1 46.250 (47.856) Prec@5 76.875 (78.300) Epoch: [54][7630/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 1.8785 (2.0194) Prec@1 47.500 (47.859) Prec@5 81.250 (78.302) Epoch: [54][7640/11272] Time 0.732 (0.808) Data 0.004 (0.002) Loss 2.0725 (2.0194) Prec@1 46.250 (47.860) Prec@5 77.500 (78.303) Epoch: [54][7650/11272] Time 0.742 (0.808) Data 0.002 (0.002) Loss 2.0608 (2.0194) Prec@1 43.125 (47.857) Prec@5 78.125 (78.303) Epoch: [54][7660/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 1.9987 (2.0194) Prec@1 48.750 (47.858) Prec@5 78.750 (78.302) Epoch: [54][7670/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 1.9419 (2.0194) Prec@1 55.000 (47.857) Prec@5 77.500 (78.301) Epoch: [54][7680/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.2275 (2.0195) Prec@1 39.375 (47.854) Prec@5 74.375 (78.300) Epoch: [54][7690/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.1193 (2.0196) Prec@1 45.000 (47.851) Prec@5 76.875 (78.300) Epoch: [54][7700/11272] Time 0.919 (0.808) Data 0.002 (0.002) Loss 2.3647 (2.0198) Prec@1 40.625 (47.850) Prec@5 71.250 (78.297) Epoch: [54][7710/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 1.9799 (2.0198) Prec@1 45.000 (47.849) Prec@5 80.000 (78.296) Epoch: [54][7720/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 1.9581 (2.0199) Prec@1 51.875 (47.848) Prec@5 76.250 (78.294) Epoch: [54][7730/11272] Time 0.715 (0.808) Data 0.001 (0.002) Loss 1.9192 (2.0199) Prec@1 50.000 (47.847) Prec@5 77.500 (78.293) Epoch: [54][7740/11272] Time 0.912 (0.808) Data 0.001 (0.002) Loss 2.0510 (2.0199) Prec@1 43.750 (47.849) Prec@5 76.250 (78.294) Epoch: [54][7750/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 2.1219 (2.0198) Prec@1 46.875 (47.849) Prec@5 73.750 (78.294) Epoch: [54][7760/11272] Time 0.792 (0.808) Data 0.001 (0.002) Loss 2.0598 (2.0198) Prec@1 48.125 (47.847) Prec@5 80.000 (78.295) Epoch: [54][7770/11272] Time 0.882 (0.808) Data 0.002 (0.002) Loss 2.1700 (2.0199) Prec@1 46.250 (47.845) Prec@5 70.000 (78.291) Epoch: [54][7780/11272] Time 0.834 (0.808) Data 0.001 (0.002) Loss 1.8604 (2.0199) Prec@1 50.625 (47.845) Prec@5 83.125 (78.292) Epoch: [54][7790/11272] Time 0.782 (0.808) Data 0.001 (0.002) Loss 2.3805 (2.0200) Prec@1 40.625 (47.844) Prec@5 70.625 (78.292) Epoch: [54][7800/11272] Time 0.759 (0.808) Data 0.001 (0.002) Loss 2.1439 (2.0200) Prec@1 50.000 (47.847) Prec@5 76.250 (78.291) Epoch: [54][7810/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.2430 (2.0200) Prec@1 43.125 (47.848) Prec@5 75.625 (78.290) Epoch: [54][7820/11272] Time 0.834 (0.808) Data 0.002 (0.002) Loss 1.9923 (2.0200) Prec@1 49.375 (47.847) Prec@5 73.750 (78.289) Epoch: [54][7830/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.1113 (2.0200) Prec@1 47.500 (47.848) Prec@5 75.625 (78.289) Epoch: [54][7840/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.1972 (2.0201) Prec@1 49.375 (47.848) Prec@5 73.750 (78.287) Epoch: [54][7850/11272] Time 0.913 (0.808) Data 0.001 (0.002) Loss 1.9806 (2.0200) Prec@1 48.750 (47.850) Prec@5 78.750 (78.289) Epoch: [54][7860/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.1056 (2.0201) Prec@1 40.000 (47.850) Prec@5 78.125 (78.289) Epoch: [54][7870/11272] Time 0.799 (0.808) Data 0.002 (0.002) Loss 2.0330 (2.0201) Prec@1 48.750 (47.851) Prec@5 75.625 (78.287) Epoch: [54][7880/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.0686 (2.0201) Prec@1 47.500 (47.851) Prec@5 76.250 (78.287) Epoch: [54][7890/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.1653 (2.0203) Prec@1 51.875 (47.850) Prec@5 71.250 (78.283) Epoch: [54][7900/11272] Time 0.832 (0.808) Data 0.002 (0.002) Loss 2.3462 (2.0204) Prec@1 40.625 (47.847) Prec@5 68.750 (78.281) Epoch: [54][7910/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 1.9188 (2.0204) Prec@1 47.500 (47.847) Prec@5 79.375 (78.280) Epoch: [54][7920/11272] Time 0.824 (0.808) Data 0.002 (0.002) Loss 1.9126 (2.0203) Prec@1 50.625 (47.848) Prec@5 80.625 (78.281) Epoch: [54][7930/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.4020 (2.0204) Prec@1 41.875 (47.849) Prec@5 70.625 (78.279) Epoch: [54][7940/11272] Time 0.772 (0.808) Data 0.003 (0.002) Loss 2.0006 (2.0205) Prec@1 45.625 (47.848) Prec@5 76.250 (78.279) Epoch: [54][7950/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.0928 (2.0205) Prec@1 49.375 (47.848) Prec@5 78.125 (78.277) Epoch: [54][7960/11272] Time 0.827 (0.808) Data 0.002 (0.002) Loss 2.0674 (2.0204) Prec@1 48.750 (47.848) Prec@5 78.125 (78.278) Epoch: [54][7970/11272] Time 0.831 (0.808) Data 0.001 (0.002) Loss 2.2489 (2.0205) Prec@1 43.125 (47.849) Prec@5 78.750 (78.278) Epoch: [54][7980/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 1.9732 (2.0205) Prec@1 46.875 (47.848) Prec@5 78.125 (78.277) Epoch: [54][7990/11272] Time 0.740 (0.808) Data 0.002 (0.002) Loss 2.2154 (2.0205) Prec@1 41.875 (47.849) Prec@5 75.000 (78.277) Epoch: [54][8000/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.2089 (2.0206) Prec@1 46.250 (47.848) Prec@5 76.250 (78.276) Epoch: [54][8010/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.1028 (2.0206) Prec@1 50.000 (47.850) Prec@5 74.375 (78.276) Epoch: [54][8020/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 1.9325 (2.0206) Prec@1 49.375 (47.850) Prec@5 81.875 (78.277) Epoch: [54][8030/11272] Time 0.713 (0.808) Data 0.001 (0.002) Loss 2.0588 (2.0206) Prec@1 46.250 (47.850) Prec@5 81.875 (78.278) Epoch: [54][8040/11272] Time 0.880 (0.808) Data 0.002 (0.002) Loss 1.9642 (2.0207) Prec@1 51.250 (47.851) Prec@5 78.750 (78.277) Epoch: [54][8050/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 2.2445 (2.0207) Prec@1 40.625 (47.852) Prec@5 71.875 (78.276) Epoch: [54][8060/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 1.8559 (2.0207) Prec@1 50.000 (47.851) Prec@5 83.125 (78.277) Epoch: [54][8070/11272] Time 0.832 (0.808) Data 0.001 (0.002) Loss 1.9813 (2.0208) Prec@1 50.000 (47.848) Prec@5 80.625 (78.277) Epoch: [54][8080/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 1.8489 (2.0208) Prec@1 48.750 (47.846) Prec@5 80.625 (78.276) Epoch: [54][8090/11272] Time 0.727 (0.808) Data 0.002 (0.002) Loss 2.0378 (2.0208) Prec@1 44.375 (47.846) Prec@5 78.750 (78.275) Epoch: [54][8100/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 1.8679 (2.0207) Prec@1 45.625 (47.848) Prec@5 80.000 (78.277) Epoch: [54][8110/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.1855 (2.0207) Prec@1 45.000 (47.849) Prec@5 73.125 (78.276) Epoch: [54][8120/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.0290 (2.0208) Prec@1 45.000 (47.849) Prec@5 79.375 (78.275) Epoch: [54][8130/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 1.9410 (2.0208) Prec@1 49.375 (47.850) Prec@5 77.500 (78.275) Epoch: [54][8140/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 2.2207 (2.0208) Prec@1 43.750 (47.848) Prec@5 73.125 (78.274) Epoch: [54][8150/11272] Time 0.902 (0.808) Data 0.002 (0.002) Loss 1.8640 (2.0209) Prec@1 51.250 (47.846) Prec@5 81.875 (78.273) Epoch: [54][8160/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.0557 (2.0209) Prec@1 47.500 (47.846) Prec@5 80.000 (78.271) Epoch: [54][8170/11272] Time 0.783 (0.808) Data 0.002 (0.002) Loss 2.3758 (2.0210) Prec@1 39.375 (47.842) Prec@5 76.250 (78.271) Epoch: [54][8180/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.1938 (2.0211) Prec@1 43.750 (47.841) Prec@5 73.125 (78.269) Epoch: [54][8190/11272] Time 0.808 (0.808) Data 0.002 (0.002) Loss 2.1957 (2.0211) Prec@1 45.000 (47.841) Prec@5 75.625 (78.269) Epoch: [54][8200/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 1.9315 (2.0211) Prec@1 47.500 (47.840) Prec@5 84.375 (78.269) Epoch: [54][8210/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.2134 (2.0212) Prec@1 48.750 (47.841) Prec@5 76.250 (78.268) Epoch: [54][8220/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.1968 (2.0212) Prec@1 45.000 (47.841) Prec@5 78.125 (78.268) Epoch: [54][8230/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 1.8746 (2.0212) Prec@1 48.125 (47.841) Prec@5 78.750 (78.267) Epoch: [54][8240/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 1.8928 (2.0212) Prec@1 49.375 (47.840) Prec@5 78.750 (78.268) Epoch: [54][8250/11272] Time 0.722 (0.808) Data 0.002 (0.002) Loss 1.9506 (2.0211) Prec@1 48.125 (47.841) Prec@5 82.500 (78.269) Epoch: [54][8260/11272] Time 0.833 (0.808) Data 0.002 (0.002) Loss 1.6333 (2.0212) Prec@1 60.000 (47.842) Prec@5 81.875 (78.267) Epoch: [54][8270/11272] Time 0.836 (0.808) Data 0.001 (0.002) Loss 1.8671 (2.0211) Prec@1 48.750 (47.842) Prec@5 79.375 (78.268) Epoch: [54][8280/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 1.9783 (2.0211) Prec@1 48.125 (47.842) Prec@5 79.375 (78.268) Epoch: [54][8290/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.2310 (2.0211) Prec@1 41.250 (47.841) Prec@5 79.375 (78.268) Epoch: [54][8300/11272] Time 0.869 (0.808) Data 0.002 (0.002) Loss 2.1138 (2.0210) Prec@1 49.375 (47.843) Prec@5 76.250 (78.268) Epoch: [54][8310/11272] Time 0.758 (0.808) Data 0.003 (0.002) Loss 1.8884 (2.0210) Prec@1 50.000 (47.844) Prec@5 77.500 (78.269) Epoch: [54][8320/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 2.2046 (2.0210) Prec@1 45.625 (47.844) Prec@5 73.750 (78.268) Epoch: [54][8330/11272] Time 0.818 (0.808) Data 0.001 (0.002) Loss 1.9434 (2.0211) Prec@1 48.125 (47.844) Prec@5 81.250 (78.267) Epoch: [54][8340/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.0783 (2.0211) Prec@1 44.375 (47.844) Prec@5 74.375 (78.266) Epoch: [54][8350/11272] Time 0.764 (0.808) Data 0.002 (0.002) Loss 1.9410 (2.0211) Prec@1 48.125 (47.843) Prec@5 80.625 (78.265) Epoch: [54][8360/11272] Time 0.717 (0.808) Data 0.001 (0.002) Loss 2.0679 (2.0211) Prec@1 49.375 (47.842) Prec@5 74.375 (78.266) Epoch: [54][8370/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.0211 (2.0212) Prec@1 45.625 (47.839) Prec@5 76.875 (78.266) Epoch: [54][8380/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 1.7545 (2.0211) Prec@1 50.625 (47.840) Prec@5 83.125 (78.265) Epoch: [54][8390/11272] Time 0.777 (0.808) Data 0.001 (0.002) Loss 1.9794 (2.0211) Prec@1 40.000 (47.840) Prec@5 79.375 (78.267) Epoch: [54][8400/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.0725 (2.0210) Prec@1 45.000 (47.840) Prec@5 77.500 (78.267) Epoch: [54][8410/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 2.0958 (2.0210) Prec@1 45.000 (47.840) Prec@5 76.250 (78.268) Epoch: [54][8420/11272] Time 0.852 (0.808) Data 0.001 (0.002) Loss 2.0290 (2.0210) Prec@1 44.375 (47.839) Prec@5 79.375 (78.267) Epoch: [54][8430/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.2844 (2.0211) Prec@1 42.500 (47.836) Prec@5 75.000 (78.266) Epoch: [54][8440/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 2.0460 (2.0212) Prec@1 47.500 (47.834) Prec@5 76.875 (78.265) Epoch: [54][8450/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 2.2808 (2.0213) Prec@1 41.250 (47.832) Prec@5 74.375 (78.263) Epoch: [54][8460/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 1.8943 (2.0214) Prec@1 51.250 (47.831) Prec@5 80.625 (78.262) Epoch: [54][8470/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 2.1207 (2.0214) Prec@1 47.500 (47.831) Prec@5 79.375 (78.261) Epoch: [54][8480/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 2.0574 (2.0215) Prec@1 45.000 (47.831) Prec@5 75.000 (78.259) Epoch: [54][8490/11272] Time 0.941 (0.808) Data 0.002 (0.002) Loss 2.2316 (2.0214) Prec@1 41.250 (47.831) Prec@5 72.500 (78.260) Epoch: [54][8500/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 1.8650 (2.0215) Prec@1 53.750 (47.832) Prec@5 83.125 (78.259) Epoch: [54][8510/11272] Time 0.729 (0.808) Data 0.001 (0.002) Loss 1.8823 (2.0215) Prec@1 47.500 (47.831) Prec@5 81.250 (78.259) Epoch: [54][8520/11272] Time 0.893 (0.808) Data 0.002 (0.002) Loss 2.0629 (2.0216) Prec@1 45.625 (47.824) Prec@5 76.250 (78.257) Epoch: [54][8530/11272] Time 0.790 (0.808) Data 0.001 (0.002) Loss 1.9707 (2.0216) Prec@1 48.750 (47.823) Prec@5 79.375 (78.256) Epoch: [54][8540/11272] Time 0.755 (0.808) Data 0.002 (0.002) Loss 1.9804 (2.0217) Prec@1 48.125 (47.823) Prec@5 81.875 (78.255) Epoch: [54][8550/11272] Time 0.716 (0.808) Data 0.001 (0.002) Loss 2.0868 (2.0217) Prec@1 50.625 (47.821) Prec@5 76.250 (78.255) Epoch: [54][8560/11272] Time 0.851 (0.808) Data 0.002 (0.002) Loss 2.0753 (2.0217) Prec@1 43.125 (47.821) Prec@5 75.000 (78.255) Epoch: [54][8570/11272] Time 0.771 (0.808) Data 0.003 (0.002) Loss 2.1148 (2.0218) Prec@1 46.875 (47.820) Prec@5 75.000 (78.255) Epoch: [54][8580/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 1.9032 (2.0218) Prec@1 55.625 (47.820) Prec@5 78.125 (78.254) Epoch: [54][8590/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 1.9891 (2.0218) Prec@1 45.000 (47.819) Prec@5 78.750 (78.253) Epoch: [54][8600/11272] Time 0.841 (0.808) Data 0.002 (0.002) Loss 2.2212 (2.0218) Prec@1 41.875 (47.821) Prec@5 74.375 (78.254) Epoch: [54][8610/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.0694 (2.0217) Prec@1 43.750 (47.820) Prec@5 74.375 (78.253) Epoch: [54][8620/11272] Time 0.727 (0.808) Data 0.001 (0.002) Loss 1.9014 (2.0217) Prec@1 54.375 (47.821) Prec@5 78.750 (78.252) Epoch: [54][8630/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.1108 (2.0217) Prec@1 44.375 (47.822) Prec@5 76.250 (78.253) Epoch: [54][8640/11272] Time 0.863 (0.808) Data 0.002 (0.002) Loss 1.9730 (2.0217) Prec@1 49.375 (47.822) Prec@5 75.625 (78.250) Epoch: [54][8650/11272] Time 0.782 (0.808) Data 0.002 (0.002) Loss 2.1603 (2.0216) Prec@1 41.875 (47.823) Prec@5 76.875 (78.252) Epoch: [54][8660/11272] Time 0.799 (0.808) Data 0.003 (0.002) Loss 2.1201 (2.0218) Prec@1 48.750 (47.820) Prec@5 74.375 (78.249) Epoch: [54][8670/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.0284 (2.0218) Prec@1 44.375 (47.817) Prec@5 80.000 (78.248) Epoch: [54][8680/11272] Time 0.823 (0.808) Data 0.001 (0.002) Loss 1.8851 (2.0218) Prec@1 52.500 (47.818) Prec@5 79.375 (78.247) Epoch: [54][8690/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.0380 (2.0218) Prec@1 49.375 (47.820) Prec@5 78.125 (78.249) Epoch: [54][8700/11272] Time 0.870 (0.808) Data 0.002 (0.002) Loss 1.9879 (2.0218) Prec@1 50.000 (47.819) Prec@5 79.375 (78.249) Epoch: [54][8710/11272] Time 0.859 (0.808) Data 0.001 (0.002) Loss 1.9810 (2.0219) Prec@1 45.625 (47.818) Prec@5 78.125 (78.248) Epoch: [54][8720/11272] Time 0.723 (0.808) Data 0.002 (0.002) Loss 2.1586 (2.0218) Prec@1 45.625 (47.820) Prec@5 77.500 (78.250) Epoch: [54][8730/11272] Time 0.766 (0.808) Data 0.002 (0.002) Loss 1.7916 (2.0218) Prec@1 55.625 (47.820) Prec@5 85.000 (78.250) Epoch: [54][8740/11272] Time 0.886 (0.808) Data 0.002 (0.002) Loss 2.0690 (2.0218) Prec@1 43.125 (47.821) Prec@5 77.500 (78.250) Epoch: [54][8750/11272] Time 0.853 (0.808) Data 0.002 (0.002) Loss 1.8998 (2.0217) Prec@1 50.000 (47.823) Prec@5 82.500 (78.252) Epoch: [54][8760/11272] Time 0.704 (0.808) Data 0.001 (0.002) Loss 1.8334 (2.0217) Prec@1 52.500 (47.824) Prec@5 85.000 (78.253) Epoch: [54][8770/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 1.9405 (2.0216) Prec@1 50.625 (47.825) Prec@5 78.125 (78.254) Epoch: [54][8780/11272] Time 0.827 (0.808) Data 0.001 (0.002) Loss 1.9372 (2.0217) Prec@1 50.625 (47.825) Prec@5 79.375 (78.254) Epoch: [54][8790/11272] Time 0.839 (0.808) Data 0.002 (0.002) Loss 1.7958 (2.0217) Prec@1 48.125 (47.824) Prec@5 84.375 (78.253) Epoch: [54][8800/11272] Time 0.763 (0.808) Data 0.002 (0.002) Loss 1.8731 (2.0217) Prec@1 50.625 (47.824) Prec@5 81.250 (78.252) Epoch: [54][8810/11272] Time 0.752 (0.808) Data 0.001 (0.002) Loss 1.9631 (2.0217) Prec@1 50.000 (47.824) Prec@5 76.875 (78.252) Epoch: [54][8820/11272] Time 0.845 (0.808) Data 0.001 (0.002) Loss 1.8662 (2.0217) Prec@1 45.000 (47.822) Prec@5 83.125 (78.252) Epoch: [54][8830/11272] Time 0.881 (0.808) Data 0.001 (0.002) Loss 2.2970 (2.0217) Prec@1 40.625 (47.821) Prec@5 70.625 (78.252) Epoch: [54][8840/11272] Time 0.766 (0.808) Data 0.002 (0.002) Loss 2.0569 (2.0218) Prec@1 50.625 (47.821) Prec@5 76.875 (78.252) Epoch: [54][8850/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.1664 (2.0218) Prec@1 50.000 (47.820) Prec@5 76.250 (78.251) Epoch: [54][8860/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 2.1924 (2.0219) Prec@1 47.500 (47.821) Prec@5 76.875 (78.250) Epoch: [54][8870/11272] Time 0.734 (0.808) Data 0.002 (0.002) Loss 1.8863 (2.0219) Prec@1 53.125 (47.820) Prec@5 81.875 (78.250) Epoch: [54][8880/11272] Time 0.780 (0.808) Data 0.002 (0.002) Loss 2.0285 (2.0220) Prec@1 49.375 (47.819) Prec@5 81.875 (78.249) Epoch: [54][8890/11272] Time 0.846 (0.808) Data 0.001 (0.002) Loss 2.0507 (2.0220) Prec@1 45.625 (47.819) Prec@5 75.625 (78.248) Epoch: [54][8900/11272] Time 0.836 (0.808) Data 0.002 (0.002) Loss 1.7078 (2.0219) Prec@1 56.875 (47.820) Prec@5 79.375 (78.251) Epoch: [54][8910/11272] Time 0.753 (0.808) Data 0.001 (0.002) Loss 2.0197 (2.0219) Prec@1 46.250 (47.819) Prec@5 77.500 (78.250) Epoch: [54][8920/11272] Time 0.756 (0.808) Data 0.002 (0.002) Loss 2.1682 (2.0218) Prec@1 47.500 (47.821) Prec@5 75.625 (78.250) Epoch: [54][8930/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 2.1113 (2.0219) Prec@1 45.000 (47.820) Prec@5 73.750 (78.250) Epoch: [54][8940/11272] Time 0.903 (0.808) Data 0.002 (0.002) Loss 2.3123 (2.0219) Prec@1 36.875 (47.819) Prec@5 76.250 (78.250) Epoch: [54][8950/11272] Time 0.762 (0.808) Data 0.002 (0.002) Loss 2.1837 (2.0219) Prec@1 46.250 (47.819) Prec@5 75.625 (78.250) Epoch: [54][8960/11272] Time 0.748 (0.808) Data 0.001 (0.002) Loss 2.3546 (2.0219) Prec@1 44.375 (47.817) Prec@5 71.250 (78.250) Epoch: [54][8970/11272] Time 0.848 (0.808) Data 0.002 (0.002) Loss 2.0526 (2.0219) Prec@1 44.375 (47.815) Prec@5 76.875 (78.251) Epoch: [54][8980/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 1.8396 (2.0218) Prec@1 46.875 (47.817) Prec@5 84.375 (78.253) Epoch: [54][8990/11272] Time 0.726 (0.808) Data 0.002 (0.002) Loss 1.9477 (2.0218) Prec@1 51.875 (47.815) Prec@5 80.625 (78.254) Epoch: [54][9000/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 1.7666 (2.0217) Prec@1 54.375 (47.815) Prec@5 83.750 (78.254) Epoch: [54][9010/11272] Time 0.855 (0.808) Data 0.002 (0.002) Loss 1.9280 (2.0217) Prec@1 48.125 (47.815) Prec@5 80.000 (78.255) Epoch: [54][9020/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 2.0720 (2.0217) Prec@1 45.000 (47.814) Prec@5 75.625 (78.256) Epoch: [54][9030/11272] Time 0.748 (0.808) Data 0.002 (0.002) Loss 2.1068 (2.0217) Prec@1 47.500 (47.813) Prec@5 73.125 (78.256) Epoch: [54][9040/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.1457 (2.0217) Prec@1 41.875 (47.812) Prec@5 74.375 (78.257) Epoch: [54][9050/11272] Time 0.849 (0.808) Data 0.002 (0.002) Loss 1.7886 (2.0216) Prec@1 49.375 (47.812) Prec@5 84.375 (78.257) Epoch: [54][9060/11272] Time 0.762 (0.808) Data 0.003 (0.002) Loss 2.0045 (2.0216) Prec@1 45.000 (47.813) Prec@5 82.500 (78.258) Epoch: [54][9070/11272] Time 0.722 (0.808) Data 0.001 (0.002) Loss 2.0782 (2.0216) Prec@1 46.250 (47.813) Prec@5 80.000 (78.260) Epoch: [54][9080/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 1.8967 (2.0216) Prec@1 53.750 (47.811) Prec@5 81.250 (78.261) Epoch: [54][9090/11272] Time 0.816 (0.808) Data 0.001 (0.002) Loss 1.7648 (2.0215) Prec@1 51.250 (47.811) Prec@5 81.875 (78.262) Epoch: [54][9100/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.3220 (2.0215) Prec@1 40.000 (47.811) Prec@5 75.625 (78.263) Epoch: [54][9110/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 2.1472 (2.0215) Prec@1 41.250 (47.810) Prec@5 71.875 (78.263) Epoch: [54][9120/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 2.1473 (2.0216) Prec@1 45.625 (47.809) Prec@5 75.000 (78.262) Epoch: [54][9130/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 2.0365 (2.0216) Prec@1 50.000 (47.808) Prec@5 75.000 (78.259) Epoch: [54][9140/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.0584 (2.0217) Prec@1 50.625 (47.806) Prec@5 76.875 (78.259) Epoch: [54][9150/11272] Time 0.874 (0.808) Data 0.001 (0.002) Loss 1.8458 (2.0217) Prec@1 54.375 (47.804) Prec@5 81.875 (78.258) Epoch: [54][9160/11272] Time 0.862 (0.808) Data 0.002 (0.002) Loss 2.3405 (2.0218) Prec@1 38.750 (47.801) Prec@5 74.375 (78.256) Epoch: [54][9170/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 1.8639 (2.0218) Prec@1 51.875 (47.800) Prec@5 79.375 (78.256) Epoch: [54][9180/11272] Time 0.730 (0.808) Data 0.001 (0.002) Loss 1.9597 (2.0219) Prec@1 48.750 (47.800) Prec@5 80.000 (78.255) Epoch: [54][9190/11272] Time 0.819 (0.808) Data 0.001 (0.002) Loss 2.1080 (2.0219) Prec@1 41.875 (47.798) Prec@5 76.250 (78.253) Epoch: [54][9200/11272] Time 0.840 (0.808) Data 0.001 (0.002) Loss 2.2146 (2.0220) Prec@1 46.250 (47.797) Prec@5 77.500 (78.252) Epoch: [54][9210/11272] Time 0.726 (0.808) Data 0.001 (0.002) Loss 2.0812 (2.0219) Prec@1 55.000 (47.800) Prec@5 78.750 (78.254) Epoch: [54][9220/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 1.9077 (2.0220) Prec@1 46.875 (47.798) Prec@5 76.250 (78.254) Epoch: [54][9230/11272] Time 0.854 (0.808) Data 0.001 (0.002) Loss 2.1299 (2.0221) Prec@1 46.250 (47.798) Prec@5 79.375 (78.253) Epoch: [54][9240/11272] Time 0.767 (0.808) Data 0.004 (0.002) Loss 2.1241 (2.0221) Prec@1 45.625 (47.796) Prec@5 77.500 (78.253) Epoch: [54][9250/11272] Time 0.733 (0.808) Data 0.002 (0.002) Loss 2.0689 (2.0221) Prec@1 42.500 (47.795) Prec@5 80.000 (78.252) Epoch: [54][9260/11272] Time 0.896 (0.808) Data 0.002 (0.002) Loss 1.9284 (2.0222) Prec@1 45.000 (47.792) Prec@5 83.125 (78.252) Epoch: [54][9270/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 2.0740 (2.0222) Prec@1 45.000 (47.793) Prec@5 78.125 (78.251) Epoch: [54][9280/11272] Time 0.757 (0.808) Data 0.001 (0.002) Loss 2.1272 (2.0223) Prec@1 51.250 (47.791) Prec@5 78.750 (78.251) Epoch: [54][9290/11272] Time 0.731 (0.808) Data 0.002 (0.002) Loss 2.3914 (2.0223) Prec@1 39.375 (47.788) Prec@5 70.000 (78.251) Epoch: [54][9300/11272] Time 0.858 (0.808) Data 0.001 (0.002) Loss 2.0750 (2.0223) Prec@1 48.125 (47.789) Prec@5 78.750 (78.253) Epoch: [54][9310/11272] Time 0.864 (0.808) Data 0.001 (0.002) Loss 2.2324 (2.0224) Prec@1 45.000 (47.787) Prec@5 77.500 (78.250) Epoch: [54][9320/11272] Time 0.768 (0.808) Data 0.002 (0.002) Loss 2.0367 (2.0224) Prec@1 45.625 (47.786) Prec@5 78.125 (78.248) Epoch: [54][9330/11272] Time 0.732 (0.808) Data 0.002 (0.002) Loss 2.4327 (2.0225) Prec@1 38.750 (47.784) Prec@5 70.000 (78.245) Epoch: [54][9340/11272] Time 0.909 (0.808) Data 0.002 (0.002) Loss 1.9782 (2.0226) Prec@1 47.500 (47.783) Prec@5 77.500 (78.245) Epoch: [54][9350/11272] Time 0.842 (0.808) Data 0.002 (0.002) Loss 1.9591 (2.0226) Prec@1 48.750 (47.782) Prec@5 80.625 (78.243) Epoch: [54][9360/11272] Time 0.751 (0.808) Data 0.002 (0.002) Loss 1.8487 (2.0227) Prec@1 51.250 (47.781) Prec@5 78.750 (78.243) Epoch: [54][9370/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.2388 (2.0226) Prec@1 43.750 (47.781) Prec@5 71.875 (78.241) Epoch: [54][9380/11272] Time 0.843 (0.808) Data 0.001 (0.002) Loss 2.1068 (2.0227) Prec@1 46.875 (47.780) Prec@5 77.500 (78.240) Epoch: [54][9390/11272] Time 0.780 (0.808) Data 0.001 (0.002) Loss 2.2157 (2.0227) Prec@1 45.625 (47.780) Prec@5 75.000 (78.239) Epoch: [54][9400/11272] Time 0.749 (0.808) Data 0.002 (0.002) Loss 2.0148 (2.0227) Prec@1 52.500 (47.781) Prec@5 76.875 (78.238) Epoch: [54][9410/11272] Time 0.827 (0.808) Data 0.001 (0.002) Loss 2.0033 (2.0227) Prec@1 42.500 (47.780) Prec@5 81.875 (78.239) Epoch: [54][9420/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 2.1635 (2.0228) Prec@1 43.125 (47.778) Prec@5 74.375 (78.237) Epoch: [54][9430/11272] Time 0.779 (0.808) Data 0.002 (0.002) Loss 2.1998 (2.0228) Prec@1 43.125 (47.779) Prec@5 75.000 (78.237) Epoch: [54][9440/11272] Time 0.757 (0.808) Data 0.002 (0.002) Loss 2.2421 (2.0227) Prec@1 41.875 (47.777) Prec@5 75.625 (78.238) Epoch: [54][9450/11272] Time 0.857 (0.808) Data 0.002 (0.002) Loss 1.9390 (2.0228) Prec@1 50.000 (47.777) Prec@5 76.250 (78.236) Epoch: [54][9460/11272] Time 0.867 (0.808) Data 0.002 (0.002) Loss 1.9330 (2.0228) Prec@1 45.625 (47.776) Prec@5 80.625 (78.237) Epoch: [54][9470/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 1.8297 (2.0228) Prec@1 51.250 (47.775) Prec@5 85.000 (78.236) Epoch: [54][9480/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 1.9144 (2.0229) Prec@1 54.375 (47.775) Prec@5 80.625 (78.235) Epoch: [54][9490/11272] Time 0.850 (0.808) Data 0.002 (0.002) Loss 2.1938 (2.0230) Prec@1 40.625 (47.773) Prec@5 75.625 (78.232) Epoch: [54][9500/11272] Time 0.761 (0.808) Data 0.004 (0.002) Loss 2.0927 (2.0230) Prec@1 41.250 (47.774) Prec@5 78.125 (78.231) Epoch: [54][9510/11272] Time 0.739 (0.808) Data 0.002 (0.002) Loss 2.0542 (2.0230) Prec@1 46.875 (47.772) Prec@5 76.875 (78.231) Epoch: [54][9520/11272] Time 0.886 (0.808) Data 0.001 (0.002) Loss 1.9144 (2.0230) Prec@1 52.500 (47.773) Prec@5 81.250 (78.232) Epoch: [54][9530/11272] Time 0.866 (0.808) Data 0.002 (0.002) Loss 2.0245 (2.0229) Prec@1 46.875 (47.772) Prec@5 79.375 (78.234) Epoch: [54][9540/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.0954 (2.0231) Prec@1 46.250 (47.769) Prec@5 75.625 (78.231) Epoch: [54][9550/11272] Time 0.726 (0.808) Data 0.002 (0.002) Loss 2.1213 (2.0231) Prec@1 45.625 (47.769) Prec@5 78.125 (78.232) Epoch: [54][9560/11272] Time 0.879 (0.808) Data 0.001 (0.002) Loss 1.9962 (2.0231) Prec@1 49.375 (47.770) Prec@5 76.250 (78.233) Epoch: [54][9570/11272] Time 0.833 (0.808) Data 0.002 (0.002) Loss 2.2552 (2.0231) Prec@1 41.875 (47.769) Prec@5 76.250 (78.231) Epoch: [54][9580/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.1081 (2.0232) Prec@1 46.875 (47.768) Prec@5 76.250 (78.231) Epoch: [54][9590/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 2.0149 (2.0232) Prec@1 47.500 (47.770) Prec@5 78.125 (78.231) Epoch: [54][9600/11272] Time 0.844 (0.808) Data 0.002 (0.002) Loss 2.1998 (2.0231) Prec@1 45.000 (47.769) Prec@5 75.625 (78.232) Epoch: [54][9610/11272] Time 0.834 (0.808) Data 0.002 (0.002) Loss 2.2978 (2.0232) Prec@1 40.000 (47.765) Prec@5 73.125 (78.232) Epoch: [54][9620/11272] Time 0.734 (0.808) Data 0.002 (0.002) Loss 1.9463 (2.0232) Prec@1 53.125 (47.764) Prec@5 78.750 (78.231) Epoch: [54][9630/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 1.9278 (2.0233) Prec@1 49.375 (47.765) Prec@5 80.000 (78.231) Epoch: [54][9640/11272] Time 0.824 (0.808) Data 0.001 (0.002) Loss 1.8185 (2.0233) Prec@1 45.625 (47.763) Prec@5 81.875 (78.230) Epoch: [54][9650/11272] Time 0.719 (0.808) Data 0.001 (0.002) Loss 2.0974 (2.0232) Prec@1 45.000 (47.763) Prec@5 74.375 (78.229) Epoch: [54][9660/11272] Time 0.758 (0.808) Data 0.002 (0.002) Loss 2.2555 (2.0233) Prec@1 38.125 (47.762) Prec@5 76.250 (78.229) Epoch: [54][9670/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 2.2315 (2.0233) Prec@1 40.625 (47.763) Prec@5 73.125 (78.228) Epoch: [54][9680/11272] Time 0.870 (0.808) Data 0.001 (0.002) Loss 1.9269 (2.0233) Prec@1 48.750 (47.762) Prec@5 80.000 (78.228) Epoch: [54][9690/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 1.7979 (2.0233) Prec@1 54.375 (47.762) Prec@5 83.750 (78.229) Epoch: [54][9700/11272] Time 0.777 (0.808) Data 0.002 (0.002) Loss 2.1091 (2.0233) Prec@1 43.125 (47.760) Prec@5 83.125 (78.229) Epoch: [54][9710/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 1.9729 (2.0233) Prec@1 50.000 (47.758) Prec@5 78.750 (78.230) Epoch: [54][9720/11272] Time 0.875 (0.808) Data 0.002 (0.002) Loss 2.0449 (2.0234) Prec@1 49.375 (47.758) Prec@5 80.000 (78.230) Epoch: [54][9730/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.0226 (2.0234) Prec@1 43.750 (47.759) Prec@5 78.125 (78.230) Epoch: [54][9740/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 1.9065 (2.0235) Prec@1 52.500 (47.756) Prec@5 81.875 (78.227) Epoch: [54][9750/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.1833 (2.0235) Prec@1 47.500 (47.755) Prec@5 75.625 (78.226) Epoch: [54][9760/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 2.0179 (2.0235) Prec@1 50.625 (47.758) Prec@5 76.875 (78.227) Epoch: [54][9770/11272] Time 0.752 (0.808) Data 0.002 (0.002) Loss 2.0742 (2.0235) Prec@1 45.625 (47.757) Prec@5 80.000 (78.227) Epoch: [54][9780/11272] Time 0.831 (0.808) Data 0.002 (0.002) Loss 2.1701 (2.0235) Prec@1 45.000 (47.756) Prec@5 75.625 (78.226) Epoch: [54][9790/11272] Time 0.840 (0.808) Data 0.002 (0.002) Loss 1.9846 (2.0235) Prec@1 45.000 (47.755) Prec@5 83.750 (78.227) Epoch: [54][9800/11272] Time 0.750 (0.808) Data 0.002 (0.002) Loss 2.3059 (2.0236) Prec@1 42.500 (47.753) Prec@5 72.500 (78.225) Epoch: [54][9810/11272] Time 0.762 (0.808) Data 0.002 (0.002) Loss 1.9374 (2.0237) Prec@1 49.375 (47.752) Prec@5 81.875 (78.225) Epoch: [54][9820/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 1.9769 (2.0237) Prec@1 50.000 (47.750) Prec@5 76.250 (78.224) Epoch: [54][9830/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 1.7814 (2.0237) Prec@1 52.500 (47.751) Prec@5 83.125 (78.226) Epoch: [54][9840/11272] Time 0.758 (0.808) Data 0.001 (0.002) Loss 2.4191 (2.0238) Prec@1 41.250 (47.748) Prec@5 70.000 (78.223) Epoch: [54][9850/11272] Time 0.738 (0.808) Data 0.002 (0.002) Loss 1.9017 (2.0239) Prec@1 45.000 (47.748) Prec@5 82.500 (78.222) Epoch: [54][9860/11272] Time 0.839 (0.808) Data 0.002 (0.002) Loss 1.8432 (2.0239) Prec@1 48.750 (47.749) Prec@5 76.875 (78.222) Epoch: [54][9870/11272] Time 0.873 (0.808) Data 0.002 (0.002) Loss 2.0954 (2.0239) Prec@1 48.750 (47.747) Prec@5 71.875 (78.221) Epoch: [54][9880/11272] Time 0.729 (0.808) Data 0.002 (0.002) Loss 2.3682 (2.0239) Prec@1 41.250 (47.746) Prec@5 67.500 (78.220) Epoch: [54][9890/11272] Time 0.788 (0.808) Data 0.002 (0.002) Loss 1.7091 (2.0240) Prec@1 51.875 (47.744) Prec@5 86.250 (78.220) Epoch: [54][9900/11272] Time 0.912 (0.808) Data 0.002 (0.002) Loss 2.1306 (2.0240) Prec@1 51.250 (47.744) Prec@5 78.750 (78.220) Epoch: [54][9910/11272] Time 0.743 (0.808) Data 0.001 (0.002) Loss 1.8549 (2.0240) Prec@1 54.375 (47.744) Prec@5 80.625 (78.220) Epoch: [54][9920/11272] Time 0.745 (0.808) Data 0.002 (0.002) Loss 1.9290 (2.0240) Prec@1 45.000 (47.742) Prec@5 78.125 (78.219) Epoch: [54][9930/11272] Time 0.923 (0.808) Data 0.001 (0.002) Loss 2.0934 (2.0241) Prec@1 42.500 (47.740) Prec@5 75.000 (78.218) Epoch: [54][9940/11272] Time 0.865 (0.808) Data 0.002 (0.002) Loss 2.2062 (2.0241) Prec@1 41.250 (47.740) Prec@5 75.000 (78.218) Epoch: [54][9950/11272] Time 0.741 (0.808) Data 0.002 (0.002) Loss 1.9039 (2.0242) Prec@1 55.000 (47.738) Prec@5 82.500 (78.217) Epoch: [54][9960/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.1262 (2.0242) Prec@1 45.000 (47.739) Prec@5 73.750 (78.215) Epoch: [54][9970/11272] Time 0.826 (0.808) Data 0.002 (0.002) Loss 2.0599 (2.0242) Prec@1 43.750 (47.740) Prec@5 77.500 (78.216) Epoch: [54][9980/11272] Time 0.858 (0.808) Data 0.002 (0.002) Loss 2.0097 (2.0241) Prec@1 42.500 (47.739) Prec@5 80.000 (78.218) Epoch: [54][9990/11272] Time 0.710 (0.808) Data 0.001 (0.002) Loss 2.0067 (2.0240) Prec@1 46.875 (47.740) Prec@5 76.875 (78.219) Epoch: [54][10000/11272] Time 0.744 (0.808) Data 0.001 (0.002) Loss 2.2035 (2.0241) Prec@1 44.375 (47.739) Prec@5 72.500 (78.218) Epoch: [54][10010/11272] Time 0.891 (0.808) Data 0.002 (0.002) Loss 2.0495 (2.0241) Prec@1 47.500 (47.739) Prec@5 76.250 (78.217) Epoch: [54][10020/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 1.7606 (2.0241) Prec@1 51.250 (47.740) Prec@5 85.000 (78.219) Epoch: [54][10030/11272] Time 0.794 (0.808) Data 0.002 (0.002) Loss 2.0745 (2.0242) Prec@1 48.125 (47.737) Prec@5 77.500 (78.218) Epoch: [54][10040/11272] Time 0.887 (0.808) Data 0.001 (0.002) Loss 2.2165 (2.0243) Prec@1 46.875 (47.737) Prec@5 78.750 (78.217) Epoch: [54][10050/11272] Time 0.977 (0.808) Data 0.002 (0.002) Loss 2.0839 (2.0243) Prec@1 46.875 (47.737) Prec@5 75.625 (78.217) Epoch: [54][10060/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.2676 (2.0243) Prec@1 40.000 (47.737) Prec@5 75.000 (78.217) Epoch: [54][10070/11272] Time 0.744 (0.808) Data 0.002 (0.002) Loss 2.0109 (2.0243) Prec@1 48.125 (47.736) Prec@5 79.375 (78.216) Epoch: [54][10080/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 2.2986 (2.0244) Prec@1 45.000 (47.737) Prec@5 73.125 (78.217) Epoch: [54][10090/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 1.9106 (2.0244) Prec@1 55.625 (47.737) Prec@5 78.750 (78.216) Epoch: [54][10100/11272] Time 0.785 (0.808) Data 0.004 (0.002) Loss 2.0752 (2.0244) Prec@1 45.000 (47.737) Prec@5 78.125 (78.215) Epoch: [54][10110/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.1246 (2.0244) Prec@1 45.000 (47.737) Prec@5 81.250 (78.215) Epoch: [54][10120/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 1.9539 (2.0244) Prec@1 50.000 (47.737) Prec@5 76.250 (78.215) Epoch: [54][10130/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 2.1833 (2.0243) Prec@1 42.500 (47.738) Prec@5 76.250 (78.217) Epoch: [54][10140/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.2042 (2.0243) Prec@1 48.125 (47.738) Prec@5 70.000 (78.217) Epoch: [54][10150/11272] Time 0.724 (0.808) Data 0.002 (0.002) Loss 2.2046 (2.0243) Prec@1 43.125 (47.736) Prec@5 75.000 (78.216) Epoch: [54][10160/11272] Time 0.835 (0.808) Data 0.001 (0.002) Loss 1.9420 (2.0243) Prec@1 51.250 (47.737) Prec@5 81.250 (78.217) Epoch: [54][10170/11272] Time 0.748 (0.808) Data 0.003 (0.002) Loss 1.9444 (2.0243) Prec@1 48.750 (47.737) Prec@5 82.500 (78.216) Epoch: [54][10180/11272] Time 0.730 (0.808) Data 0.002 (0.002) Loss 2.1638 (2.0244) Prec@1 47.500 (47.737) Prec@5 73.125 (78.214) Epoch: [54][10190/11272] Time 0.852 (0.808) Data 0.002 (0.002) Loss 2.2254 (2.0244) Prec@1 45.625 (47.737) Prec@5 75.625 (78.215) Epoch: [54][10200/11272] Time 0.832 (0.808) Data 0.001 (0.002) Loss 1.9657 (2.0244) Prec@1 50.625 (47.736) Prec@5 81.250 (78.215) Epoch: [54][10210/11272] Time 0.715 (0.808) Data 0.001 (0.002) Loss 2.0919 (2.0244) Prec@1 39.375 (47.735) Prec@5 79.375 (78.214) Epoch: [54][10220/11272] Time 0.754 (0.808) Data 0.002 (0.002) Loss 1.8330 (2.0245) Prec@1 53.750 (47.735) Prec@5 81.250 (78.213) Epoch: [54][10230/11272] Time 0.840 (0.808) Data 0.002 (0.002) Loss 1.8275 (2.0244) Prec@1 55.625 (47.735) Prec@5 80.625 (78.213) Epoch: [54][10240/11272] Time 0.841 (0.808) Data 0.001 (0.002) Loss 1.9667 (2.0244) Prec@1 48.750 (47.736) Prec@5 76.875 (78.212) Epoch: [54][10250/11272] Time 0.732 (0.808) Data 0.001 (0.002) Loss 1.8466 (2.0244) Prec@1 55.625 (47.737) Prec@5 81.875 (78.211) Epoch: [54][10260/11272] Time 0.743 (0.808) Data 0.002 (0.002) Loss 2.0244 (2.0245) Prec@1 49.375 (47.737) Prec@5 80.000 (78.211) Epoch: [54][10270/11272] Time 0.836 (0.808) Data 0.001 (0.002) Loss 1.8991 (2.0245) Prec@1 51.250 (47.738) Prec@5 81.250 (78.211) Epoch: [54][10280/11272] Time 0.809 (0.808) Data 0.001 (0.002) Loss 2.1597 (2.0245) Prec@1 43.750 (47.739) Prec@5 74.375 (78.212) Epoch: [54][10290/11272] Time 0.728 (0.808) Data 0.001 (0.002) Loss 1.8842 (2.0245) Prec@1 50.625 (47.740) Prec@5 78.125 (78.213) Epoch: [54][10300/11272] Time 0.851 (0.808) Data 0.001 (0.002) Loss 1.9902 (2.0245) Prec@1 46.875 (47.741) Prec@5 76.875 (78.213) Epoch: [54][10310/11272] Time 0.824 (0.808) Data 0.002 (0.002) Loss 1.8884 (2.0245) Prec@1 48.125 (47.740) Prec@5 82.500 (78.214) Epoch: [54][10320/11272] Time 0.737 (0.808) Data 0.001 (0.002) Loss 1.8843 (2.0245) Prec@1 48.125 (47.741) Prec@5 78.125 (78.214) Epoch: [54][10330/11272] Time 0.721 (0.808) Data 0.001 (0.002) Loss 2.1879 (2.0246) Prec@1 49.375 (47.740) Prec@5 73.750 (78.212) Epoch: [54][10340/11272] Time 0.854 (0.808) Data 0.002 (0.002) Loss 1.8866 (2.0245) Prec@1 50.625 (47.741) Prec@5 83.125 (78.213) Epoch: [54][10350/11272] Time 0.820 (0.808) Data 0.002 (0.002) Loss 1.7224 (2.0245) Prec@1 56.875 (47.742) Prec@5 82.500 (78.214) Epoch: [54][10360/11272] Time 0.753 (0.807) Data 0.002 (0.002) Loss 1.8657 (2.0245) Prec@1 51.875 (47.742) Prec@5 80.625 (78.214) Epoch: [54][10370/11272] Time 0.718 (0.807) Data 0.002 (0.002) Loss 2.0838 (2.0245) Prec@1 45.625 (47.741) Prec@5 78.125 (78.214) Epoch: [54][10380/11272] Time 0.851 (0.807) Data 0.002 (0.002) Loss 2.2195 (2.0245) Prec@1 41.875 (47.740) Prec@5 76.875 (78.214) Epoch: [54][10390/11272] Time 0.826 (0.807) Data 0.002 (0.002) Loss 2.2885 (2.0245) Prec@1 38.125 (47.740) Prec@5 73.750 (78.214) Epoch: [54][10400/11272] Time 0.739 (0.807) Data 0.002 (0.002) Loss 2.1375 (2.0245) Prec@1 48.125 (47.740) Prec@5 72.500 (78.213) Epoch: [54][10410/11272] Time 0.712 (0.807) Data 0.001 (0.002) Loss 2.1914 (2.0245) Prec@1 45.000 (47.739) Prec@5 74.375 (78.213) Epoch: [54][10420/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 1.9944 (2.0244) Prec@1 49.375 (47.740) Prec@5 76.875 (78.214) Epoch: [54][10430/11272] Time 0.723 (0.807) Data 0.003 (0.002) Loss 1.6148 (2.0244) Prec@1 58.750 (47.741) Prec@5 84.375 (78.214) Epoch: [54][10440/11272] Time 0.755 (0.807) Data 0.002 (0.002) Loss 2.0480 (2.0244) Prec@1 48.125 (47.742) Prec@5 77.500 (78.214) Epoch: [54][10450/11272] Time 0.884 (0.807) Data 0.002 (0.002) Loss 1.9946 (2.0244) Prec@1 45.625 (47.740) Prec@5 77.500 (78.215) Epoch: [54][10460/11272] Time 0.843 (0.807) Data 0.002 (0.002) Loss 1.7627 (2.0244) Prec@1 52.500 (47.741) Prec@5 83.750 (78.215) Epoch: [54][10470/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.0766 (2.0244) Prec@1 45.625 (47.739) Prec@5 79.375 (78.216) Epoch: [54][10480/11272] Time 0.747 (0.807) Data 0.002 (0.002) Loss 1.9991 (2.0245) Prec@1 43.125 (47.736) Prec@5 76.250 (78.215) Epoch: [54][10490/11272] Time 0.836 (0.807) Data 0.002 (0.002) Loss 2.0539 (2.0246) Prec@1 48.750 (47.735) Prec@5 76.875 (78.213) Epoch: [54][10500/11272] Time 0.910 (0.807) Data 0.002 (0.002) Loss 2.2085 (2.0247) Prec@1 41.875 (47.733) Prec@5 76.875 (78.212) Epoch: [54][10510/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.1372 (2.0247) Prec@1 45.625 (47.731) Prec@5 74.375 (78.211) Epoch: [54][10520/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 1.8821 (2.0247) Prec@1 49.375 (47.731) Prec@5 80.625 (78.211) Epoch: [54][10530/11272] Time 0.842 (0.807) Data 0.001 (0.002) Loss 2.1195 (2.0247) Prec@1 43.750 (47.729) Prec@5 77.500 (78.210) Epoch: [54][10540/11272] Time 0.857 (0.807) Data 0.002 (0.002) Loss 1.8733 (2.0248) Prec@1 52.500 (47.729) Prec@5 81.875 (78.210) Epoch: [54][10550/11272] Time 0.741 (0.807) Data 0.002 (0.002) Loss 2.1086 (2.0248) Prec@1 45.000 (47.729) Prec@5 72.500 (78.209) Epoch: [54][10560/11272] Time 0.865 (0.807) Data 0.002 (0.002) Loss 1.8104 (2.0248) Prec@1 48.750 (47.727) Prec@5 81.875 (78.211) Epoch: [54][10570/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.0435 (2.0248) Prec@1 41.250 (47.725) Prec@5 77.500 (78.209) Epoch: [54][10580/11272] Time 0.725 (0.807) Data 0.001 (0.002) Loss 2.1909 (2.0248) Prec@1 43.125 (47.723) Prec@5 81.250 (78.211) Epoch: [54][10590/11272] Time 0.733 (0.807) Data 0.002 (0.002) Loss 2.2215 (2.0249) Prec@1 48.125 (47.723) Prec@5 76.875 (78.210) Epoch: [54][10600/11272] Time 0.861 (0.807) Data 0.002 (0.002) Loss 1.8405 (2.0249) Prec@1 46.250 (47.723) Prec@5 81.875 (78.209) Epoch: [54][10610/11272] Time 0.820 (0.807) Data 0.002 (0.002) Loss 1.9264 (2.0250) Prec@1 46.250 (47.722) Prec@5 81.875 (78.209) Epoch: [54][10620/11272] Time 0.789 (0.807) Data 0.001 (0.002) Loss 1.7644 (2.0250) Prec@1 50.000 (47.722) Prec@5 88.750 (78.210) Epoch: [54][10630/11272] Time 0.718 (0.807) Data 0.001 (0.002) Loss 2.2289 (2.0250) Prec@1 41.875 (47.721) Prec@5 76.250 (78.209) Epoch: [54][10640/11272] Time 0.821 (0.807) Data 0.001 (0.002) Loss 2.2036 (2.0250) Prec@1 39.375 (47.718) Prec@5 71.250 (78.209) Epoch: [54][10650/11272] Time 0.826 (0.807) Data 0.002 (0.002) Loss 2.2308 (2.0251) Prec@1 42.500 (47.718) Prec@5 73.750 (78.209) Epoch: [54][10660/11272] Time 0.754 (0.807) Data 0.002 (0.002) Loss 2.2540 (2.0250) Prec@1 44.375 (47.720) Prec@5 75.625 (78.209) Epoch: [54][10670/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 1.8650 (2.0250) Prec@1 50.000 (47.720) Prec@5 81.250 (78.210) Epoch: [54][10680/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.0906 (2.0251) Prec@1 48.125 (47.718) Prec@5 76.250 (78.208) Epoch: [54][10690/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 1.8349 (2.0251) Prec@1 47.500 (47.718) Prec@5 79.375 (78.209) Epoch: [54][10700/11272] Time 0.732 (0.807) Data 0.001 (0.002) Loss 2.2516 (2.0251) Prec@1 40.625 (47.719) Prec@5 76.250 (78.209) Epoch: [54][10710/11272] Time 0.815 (0.807) Data 0.002 (0.002) Loss 1.8516 (2.0251) Prec@1 50.625 (47.718) Prec@5 81.250 (78.208) Epoch: [54][10720/11272] Time 0.833 (0.807) Data 0.001 (0.002) Loss 2.1389 (2.0251) Prec@1 43.750 (47.718) Prec@5 79.375 (78.209) Epoch: [54][10730/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.0806 (2.0252) Prec@1 48.125 (47.719) Prec@5 76.875 (78.208) Epoch: [54][10740/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 1.9994 (2.0251) Prec@1 51.250 (47.719) Prec@5 79.375 (78.209) Epoch: [54][10750/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 1.9158 (2.0252) Prec@1 45.000 (47.718) Prec@5 82.500 (78.209) Epoch: [54][10760/11272] Time 0.850 (0.807) Data 0.001 (0.002) Loss 1.9429 (2.0252) Prec@1 48.125 (47.718) Prec@5 81.875 (78.210) Epoch: [54][10770/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.2118 (2.0252) Prec@1 41.250 (47.717) Prec@5 70.000 (78.209) Epoch: [54][10780/11272] Time 0.736 (0.807) Data 0.001 (0.002) Loss 2.0019 (2.0251) Prec@1 50.625 (47.718) Prec@5 78.750 (78.210) Epoch: [54][10790/11272] Time 0.834 (0.807) Data 0.002 (0.002) Loss 2.2482 (2.0252) Prec@1 48.125 (47.716) Prec@5 71.875 (78.210) Epoch: [54][10800/11272] Time 0.808 (0.807) Data 0.001 (0.002) Loss 1.8712 (2.0252) Prec@1 46.250 (47.716) Prec@5 80.000 (78.211) Epoch: [54][10810/11272] Time 0.741 (0.807) Data 0.001 (0.002) Loss 2.0932 (2.0252) Prec@1 46.875 (47.717) Prec@5 75.625 (78.209) Epoch: [54][10820/11272] Time 0.757 (0.807) Data 0.002 (0.002) Loss 2.0460 (2.0252) Prec@1 49.375 (47.717) Prec@5 77.500 (78.209) Epoch: [54][10830/11272] Time 0.826 (0.807) Data 0.002 (0.002) Loss 1.8766 (2.0252) Prec@1 50.000 (47.718) Prec@5 83.125 (78.209) Epoch: [54][10840/11272] Time 0.728 (0.807) Data 0.002 (0.002) Loss 1.9000 (2.0252) Prec@1 50.000 (47.718) Prec@5 81.875 (78.207) Epoch: [54][10850/11272] Time 0.721 (0.807) Data 0.002 (0.002) Loss 2.2759 (2.0252) Prec@1 36.250 (47.716) Prec@5 74.375 (78.207) Epoch: [54][10860/11272] Time 0.869 (0.807) Data 0.002 (0.002) Loss 1.7605 (2.0252) Prec@1 52.500 (47.717) Prec@5 85.625 (78.207) Epoch: [54][10870/11272] Time 0.841 (0.807) Data 0.002 (0.002) Loss 1.9380 (2.0252) Prec@1 50.625 (47.719) Prec@5 76.875 (78.206) Epoch: [54][10880/11272] Time 0.734 (0.807) Data 0.001 (0.002) Loss 2.2728 (2.0252) Prec@1 44.375 (47.720) Prec@5 74.375 (78.206) Epoch: [54][10890/11272] Time 0.724 (0.807) Data 0.001 (0.002) Loss 2.0572 (2.0252) Prec@1 46.875 (47.720) Prec@5 78.125 (78.205) Epoch: [54][10900/11272] Time 0.810 (0.807) Data 0.002 (0.002) Loss 2.1569 (2.0252) Prec@1 48.125 (47.720) Prec@5 73.125 (78.206) Epoch: [54][10910/11272] Time 0.818 (0.807) Data 0.001 (0.002) Loss 1.9930 (2.0252) Prec@1 51.250 (47.720) Prec@5 78.750 (78.207) Epoch: [54][10920/11272] Time 0.743 (0.807) Data 0.001 (0.002) Loss 2.2131 (2.0251) Prec@1 46.875 (47.721) Prec@5 75.625 (78.207) Epoch: [54][10930/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.0926 (2.0251) Prec@1 48.750 (47.724) Prec@5 73.125 (78.207) Epoch: [54][10940/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 1.9732 (2.0251) Prec@1 53.750 (47.724) Prec@5 80.000 (78.207) Epoch: [54][10950/11272] Time 0.843 (0.807) Data 0.001 (0.002) Loss 1.9780 (2.0251) Prec@1 56.250 (47.724) Prec@5 78.750 (78.207) Epoch: [54][10960/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 1.9064 (2.0251) Prec@1 51.250 (47.726) Prec@5 81.250 (78.208) Epoch: [54][10970/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.2360 (2.0251) Prec@1 45.000 (47.725) Prec@5 75.625 (78.209) Epoch: [54][10980/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 1.8641 (2.0250) Prec@1 48.750 (47.726) Prec@5 80.000 (78.210) Epoch: [54][10990/11272] Time 0.727 (0.807) Data 0.002 (0.002) Loss 1.9989 (2.0251) Prec@1 45.000 (47.725) Prec@5 80.625 (78.211) Epoch: [54][11000/11272] Time 0.760 (0.807) Data 0.002 (0.002) Loss 1.8682 (2.0251) Prec@1 49.375 (47.722) Prec@5 82.500 (78.210) Epoch: [54][11010/11272] Time 0.853 (0.807) Data 0.002 (0.002) Loss 1.9848 (2.0252) Prec@1 46.875 (47.721) Prec@5 79.375 (78.209) Epoch: [54][11020/11272] Time 0.859 (0.807) Data 0.002 (0.002) Loss 2.0271 (2.0252) Prec@1 48.125 (47.719) Prec@5 77.500 (78.208) Epoch: [54][11030/11272] Time 0.725 (0.807) Data 0.002 (0.002) Loss 1.9219 (2.0252) Prec@1 46.250 (47.718) Prec@5 81.250 (78.208) Epoch: [54][11040/11272] Time 0.729 (0.807) Data 0.002 (0.002) Loss 2.1485 (2.0253) Prec@1 46.250 (47.717) Prec@5 77.500 (78.206) Epoch: [54][11050/11272] Time 0.828 (0.807) Data 0.001 (0.002) Loss 2.0396 (2.0254) Prec@1 46.250 (47.713) Prec@5 78.750 (78.204) Epoch: [54][11060/11272] Time 0.852 (0.807) Data 0.002 (0.002) Loss 1.7525 (2.0253) Prec@1 52.500 (47.715) Prec@5 85.000 (78.206) Epoch: [54][11070/11272] Time 0.723 (0.807) Data 0.002 (0.002) Loss 2.0329 (2.0253) Prec@1 48.750 (47.714) Prec@5 78.750 (78.206) Epoch: [54][11080/11272] Time 0.749 (0.807) Data 0.002 (0.002) Loss 1.9429 (2.0253) Prec@1 54.375 (47.716) Prec@5 78.125 (78.208) Epoch: [54][11090/11272] Time 0.838 (0.807) Data 0.002 (0.002) Loss 1.8814 (2.0252) Prec@1 53.125 (47.716) Prec@5 81.875 (78.208) Epoch: [54][11100/11272] Time 0.748 (0.807) Data 0.003 (0.002) Loss 2.0491 (2.0252) Prec@1 43.125 (47.715) Prec@5 80.000 (78.208) Epoch: [54][11110/11272] Time 0.726 (0.807) Data 0.001 (0.002) Loss 2.1012 (2.0252) Prec@1 46.875 (47.716) Prec@5 75.000 (78.208) Epoch: [54][11120/11272] Time 0.885 (0.807) Data 0.002 (0.002) Loss 2.0637 (2.0252) Prec@1 45.625 (47.716) Prec@5 75.625 (78.208) Epoch: [54][11130/11272] Time 0.860 (0.807) Data 0.002 (0.002) Loss 2.1161 (2.0252) Prec@1 44.375 (47.716) Prec@5 76.875 (78.208) Epoch: [54][11140/11272] Time 0.747 (0.807) Data 0.001 (0.002) Loss 1.9866 (2.0252) Prec@1 48.125 (47.715) Prec@5 79.375 (78.208) Epoch: [54][11150/11272] Time 0.723 (0.807) Data 0.001 (0.002) Loss 2.1472 (2.0252) Prec@1 45.625 (47.713) Prec@5 76.875 (78.207) Epoch: [54][11160/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 1.9732 (2.0253) Prec@1 45.000 (47.712) Prec@5 81.250 (78.206) Epoch: [54][11170/11272] Time 0.815 (0.807) Data 0.001 (0.002) Loss 2.1384 (2.0253) Prec@1 42.500 (47.712) Prec@5 75.625 (78.207) Epoch: [54][11180/11272] Time 0.711 (0.807) Data 0.001 (0.002) Loss 1.8780 (2.0253) Prec@1 55.625 (47.713) Prec@5 81.875 (78.208) Epoch: [54][11190/11272] Time 0.726 (0.807) Data 0.002 (0.002) Loss 2.3166 (2.0253) Prec@1 41.875 (47.713) Prec@5 73.125 (78.207) Epoch: [54][11200/11272] Time 0.893 (0.807) Data 0.002 (0.002) Loss 2.0962 (2.0253) Prec@1 48.750 (47.711) Prec@5 76.875 (78.209) Epoch: [54][11210/11272] Time 0.823 (0.807) Data 0.002 (0.002) Loss 1.9511 (2.0253) Prec@1 44.375 (47.712) Prec@5 81.250 (78.209) Epoch: [54][11220/11272] Time 0.771 (0.807) Data 0.002 (0.002) Loss 2.0588 (2.0252) Prec@1 46.250 (47.712) Prec@5 76.250 (78.209) Epoch: [54][11230/11272] Time 0.821 (0.807) Data 0.002 (0.002) Loss 1.9899 (2.0252) Prec@1 46.875 (47.711) Prec@5 79.375 (78.208) Epoch: [54][11240/11272] Time 0.850 (0.806) Data 0.001 (0.002) Loss 1.9343 (2.0253) Prec@1 46.250 (47.708) Prec@5 80.000 (78.206) Epoch: [54][11250/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 1.8804 (2.0253) Prec@1 55.000 (47.708) Prec@5 80.625 (78.207) Epoch: [54][11260/11272] Time 0.809 (0.806) Data 0.006 (0.002) Loss 1.7539 (2.0253) Prec@1 56.250 (47.710) Prec@5 81.250 (78.208) Epoch: [54][11270/11272] Time 0.809 (0.806) Data 0.000 (0.002) Loss 1.8852 (2.0252) Prec@1 53.125 (47.711) Prec@5 81.875 (78.208) Test: [0/229] Time 2.271 (2.271) Loss 1.0694 (1.0694) Prec@1 69.375 (69.375) Prec@5 95.000 (95.000) Test: [10/229] Time 0.319 (0.535) Loss 1.0532 (1.6358) Prec@1 69.375 (57.557) Prec@5 95.625 (86.989) Test: [20/229] Time 0.392 (0.462) Loss 1.9458 (1.7161) Prec@1 48.125 (54.286) Prec@5 80.000 (85.298) Test: [30/229] Time 0.384 (0.436) Loss 1.8902 (1.6522) Prec@1 45.625 (55.827) Prec@5 84.375 (86.008) Test: [40/229] Time 0.397 (0.423) Loss 0.4537 (1.6493) Prec@1 90.625 (55.610) Prec@5 95.625 (86.189) Test: [50/229] Time 0.382 (0.414) Loss 2.5943 (1.7280) Prec@1 31.250 (54.044) Prec@5 75.625 (84.350) Test: [60/229] Time 0.345 (0.408) Loss 2.2673 (1.7287) Prec@1 38.750 (53.750) Prec@5 78.750 (84.283) Test: [70/229] Time 0.412 (0.404) Loss 1.1949 (1.7490) Prec@1 68.750 (53.239) Prec@5 86.875 (83.900) Test: [80/229] Time 0.337 (0.399) Loss 2.4199 (1.7813) Prec@1 29.375 (52.137) Prec@5 78.125 (83.642) Test: [90/229] Time 0.400 (0.396) Loss 1.4624 (1.7967) Prec@1 65.000 (51.834) Prec@5 84.375 (83.558) Test: [100/229] Time 0.331 (0.394) Loss 2.4602 (1.7952) Prec@1 40.625 (52.054) Prec@5 80.000 (83.639) Test: [110/229] Time 0.325 (0.393) Loss 1.5970 (1.7790) Prec@1 51.250 (52.387) Prec@5 86.250 (83.716) Test: [120/229] Time 0.399 (0.391) Loss 3.0489 (1.7891) Prec@1 22.500 (52.087) Prec@5 71.875 (83.698) Test: [130/229] Time 0.350 (0.390) Loss 1.4444 (1.7714) Prec@1 59.375 (52.552) Prec@5 88.750 (83.931) Test: [140/229] Time 0.361 (0.388) Loss 1.9915 (1.7781) Prec@1 48.125 (52.287) Prec@5 83.125 (83.843) Test: [150/229] Time 0.344 (0.387) Loss 1.1396 (1.7905) Prec@1 72.500 (51.916) Prec@5 90.625 (83.709) Test: [160/229] Time 0.467 (0.387) Loss 1.8207 (1.7839) Prec@1 56.875 (52.054) Prec@5 83.125 (83.800) Test: [170/229] Time 0.315 (0.386) Loss 2.0676 (1.7981) Prec@1 45.625 (51.692) Prec@5 81.250 (83.520) Test: [180/229] Time 0.329 (0.385) Loss 2.5177 (1.8057) Prec@1 33.125 (51.668) Prec@5 70.625 (83.311) Test: [190/229] Time 0.487 (0.385) Loss 1.2020 (1.7932) Prec@1 68.125 (51.999) Prec@5 93.125 (83.436) Test: [200/229] Time 0.356 (0.385) Loss 1.7225 (1.7859) Prec@1 52.500 (52.139) Prec@5 81.875 (83.616) Test: [210/229] Time 0.434 (0.385) Loss 1.3269 (1.7796) Prec@1 60.625 (52.340) Prec@5 93.125 (83.765) Test: [220/229] Time 0.384 (0.385) Loss 1.4141 (1.7704) Prec@1 60.625 (52.670) Prec@5 90.000 (83.821) * Prec@1 53.013 Prec@5 83.886 Epoch: [55][0/11272] Time 3.658 (3.658) Data 2.809 (2.809) Loss 2.1162 (2.1162) Prec@1 49.375 (49.375) Prec@5 78.125 (78.125) Epoch: [55][10/11272] Time 0.857 (1.069) Data 0.002 (0.257) Loss 2.2168 (1.9971) Prec@1 42.500 (48.523) Prec@5 71.875 (78.580) Epoch: [55][20/11272] Time 0.840 (0.943) Data 0.002 (0.135) Loss 1.6627 (1.9663) Prec@1 54.375 (49.167) Prec@5 81.250 (78.750) Epoch: [55][30/11272] Time 0.749 (0.898) Data 0.002 (0.092) Loss 1.9515 (1.9871) Prec@1 49.375 (48.629) Prec@5 78.750 (78.710) Epoch: [55][40/11272] Time 0.866 (0.879) Data 0.002 (0.070) Loss 1.9490 (1.9793) Prec@1 48.125 (48.841) Prec@5 80.625 (79.009) Epoch: [55][50/11272] Time 0.886 (0.868) Data 0.002 (0.057) Loss 2.4325 (1.9856) Prec@1 40.625 (48.725) Prec@5 71.875 (78.873) Epoch: [55][60/11272] Time 0.701 (0.857) Data 0.001 (0.048) Loss 2.1853 (1.9899) Prec@1 45.000 (48.412) Prec@5 75.625 (78.822) Epoch: [55][70/11272] Time 0.760 (0.849) Data 0.002 (0.041) Loss 2.0160 (1.9924) Prec@1 48.125 (48.345) Prec@5 80.000 (78.864) Epoch: [55][80/11272] Time 0.836 (0.844) Data 0.001 (0.036) Loss 1.7621 (1.9882) Prec@1 53.125 (48.511) Prec@5 81.250 (78.850) Epoch: [55][90/11272] Time 0.847 (0.840) Data 0.002 (0.033) Loss 1.7504 (1.9775) Prec@1 50.625 (48.695) Prec@5 83.750 (78.942) Epoch: [55][100/11272] Time 0.785 (0.837) Data 0.002 (0.029) Loss 2.0502 (1.9797) Prec@1 48.750 (48.564) Prec@5 76.875 (78.861) Epoch: [55][110/11272] Time 0.781 (0.834) Data 0.002 (0.027) Loss 2.0755 (1.9791) Prec@1 42.500 (48.361) Prec@5 81.875 (78.913) Epoch: [55][120/11272] Time 0.886 (0.832) Data 0.002 (0.025) Loss 2.0529 (1.9838) Prec@1 51.875 (48.301) Prec@5 81.250 (78.926) Epoch: [55][130/11272] Time 0.828 (0.830) Data 0.001 (0.023) Loss 2.0854 (1.9846) Prec@1 46.875 (48.235) Prec@5 75.000 (78.955) Epoch: [55][140/11272] Time 0.777 (0.829) Data 0.002 (0.022) Loss 2.0253 (1.9840) Prec@1 50.000 (48.280) Prec@5 79.375 (79.034) Epoch: [55][150/11272] Time 0.753 (0.827) Data 0.002 (0.020) Loss 1.9433 (1.9840) Prec@1 43.750 (48.224) Prec@5 81.250 (79.118) Epoch: [55][160/11272] Time 0.889 (0.827) Data 0.002 (0.019) Loss 2.3555 (1.9837) Prec@1 39.375 (48.269) Prec@5 75.000 (79.115) Epoch: [55][170/11272] Time 0.752 (0.825) Data 0.004 (0.018) Loss 1.7217 (1.9771) Prec@1 52.500 (48.472) Prec@5 81.250 (79.225) Epoch: [55][180/11272] Time 0.764 (0.824) Data 0.002 (0.017) Loss 1.9702 (1.9737) Prec@1 55.625 (48.633) Prec@5 76.250 (79.258) Epoch: [55][190/11272] Time 0.930 (0.824) Data 0.002 (0.016) Loss 2.0939 (1.9774) Prec@1 47.500 (48.593) Prec@5 75.625 (79.074) Epoch: [55][200/11272] Time 0.840 (0.823) Data 0.002 (0.016) Loss 1.9496 (1.9778) Prec@1 50.625 (48.595) Prec@5 75.000 (79.030) Epoch: [55][210/11272] Time 0.759 (0.823) Data 0.002 (0.015) Loss 2.0017 (1.9793) Prec@1 46.250 (48.543) Prec@5 78.750 (78.960) Epoch: [55][220/11272] Time 0.751 (0.822) Data 0.002 (0.014) Loss 1.9238 (1.9806) Prec@1 50.625 (48.498) Prec@5 82.500 (78.959) Epoch: [55][230/11272] Time 0.847 (0.821) Data 0.002 (0.014) Loss 1.8463 (1.9807) Prec@1 46.875 (48.523) Prec@5 82.500 (78.948) Epoch: [55][240/11272] Time 0.853 (0.821) Data 0.002 (0.013) Loss 1.8821 (1.9784) Prec@1 53.125 (48.568) Prec@5 80.625 (78.991) Epoch: [55][250/11272] Time 0.756 (0.821) Data 0.002 (0.013) Loss 1.8448 (1.9816) Prec@1 51.250 (48.479) Prec@5 81.250 (78.934) Epoch: [55][260/11272] Time 0.759 (0.820) Data 0.002 (0.012) Loss 2.1963 (1.9806) Prec@1 47.500 (48.499) Prec@5 74.375 (78.951) Epoch: [55][270/11272] Time 0.855 (0.819) Data 0.002 (0.012) Loss 2.0224 (1.9803) Prec@1 45.000 (48.473) Prec@5 78.125 (78.967) Epoch: [55][280/11272] Time 0.838 (0.818) Data 0.001 (0.012) Loss 1.8567 (1.9805) Prec@1 55.000 (48.463) Prec@5 81.250 (78.984) Epoch: [55][290/11272] Time 0.749 (0.818) Data 0.002 (0.011) Loss 2.0556 (1.9805) Prec@1 51.250 (48.505) Prec@5 75.625 (78.980) Epoch: [55][300/11272] Time 0.850 (0.818) Data 0.001 (0.011) Loss 2.1314 (1.9823) Prec@1 42.500 (48.476) Prec@5 77.500 (78.947) Epoch: [55][310/11272] Time 0.843 (0.817) Data 0.001 (0.011) Loss 2.1124 (1.9846) Prec@1 45.000 (48.449) Prec@5 82.500 (78.935) Epoch: [55][320/11272] Time 0.776 (0.817) Data 0.001 (0.010) Loss 2.0734 (1.9827) Prec@1 48.750 (48.493) Prec@5 80.625 (78.970) Epoch: [55][330/11272] Time 0.747 (0.816) Data 0.002 (0.010) Loss 1.7679 (1.9838) Prec@1 53.125 (48.486) Prec@5 81.875 (78.931) Epoch: [55][340/11272] Time 0.858 (0.816) Data 0.002 (0.010) Loss 1.8157 (1.9851) Prec@1 55.000 (48.470) Prec@5 81.250 (78.941) Epoch: [55][350/11272] Time 0.866 (0.815) Data 0.002 (0.010) Loss 2.0314 (1.9833) Prec@1 51.875 (48.538) Prec@5 80.000 (78.981) Epoch: [55][360/11272] Time 0.758 (0.815) Data 0.002 (0.009) Loss 1.8126 (1.9825) Prec@1 53.750 (48.568) Prec@5 83.125 (78.998) Epoch: [55][370/11272] Time 0.755 (0.815) Data 0.002 (0.009) Loss 2.2633 (1.9827) Prec@1 45.000 (48.543) Prec@5 70.625 (78.981) Epoch: [55][380/11272] Time 0.863 (0.815) Data 0.001 (0.009) Loss 1.8047 (1.9822) Prec@1 51.875 (48.545) Prec@5 82.500 (78.975) Epoch: [55][390/11272] Time 0.796 (0.815) Data 0.001 (0.009) Loss 1.9394 (1.9840) Prec@1 51.875 (48.520) Prec@5 79.375 (78.937) Epoch: [55][400/11272] Time 0.759 (0.814) Data 0.002 (0.009) Loss 1.9478 (1.9856) Prec@1 49.375 (48.499) Prec@5 75.000 (78.898) Epoch: [55][410/11272] Time 0.749 (0.814) Data 0.002 (0.008) Loss 1.8412 (1.9856) Prec@1 50.625 (48.470) Prec@5 85.000 (78.905) Epoch: [55][420/11272] Time 0.850 (0.814) Data 0.002 (0.008) Loss 2.2895 (1.9880) Prec@1 43.125 (48.431) Prec@5 74.375 (78.870) Epoch: [55][430/11272] Time 0.862 (0.814) Data 0.002 (0.008) Loss 2.0223 (1.9904) Prec@1 46.250 (48.376) Prec@5 77.500 (78.821) Epoch: [55][440/11272] Time 0.764 (0.814) Data 0.002 (0.008) Loss 1.9424 (1.9910) Prec@1 55.625 (48.338) Prec@5 78.125 (78.824) Epoch: [55][450/11272] Time 0.832 (0.814) Data 0.005 (0.008) Loss 2.0012 (1.9910) Prec@1 45.000 (48.295) Prec@5 75.625 (78.832) Epoch: [55][460/11272] Time 0.862 (0.814) Data 0.001 (0.008) Loss 2.0047 (1.9922) Prec@1 46.250 (48.275) Prec@5 80.000 (78.823) Epoch: [55][470/11272] Time 0.739 (0.814) Data 0.001 (0.008) Loss 2.1768 (1.9930) Prec@1 44.375 (48.275) Prec@5 73.750 (78.802) Epoch: [55][480/11272] Time 0.774 (0.814) Data 0.002 (0.008) Loss 2.0564 (1.9926) Prec@1 43.750 (48.293) Prec@5 76.250 (78.777) Epoch: [55][490/11272] Time 0.862 (0.813) Data 0.002 (0.007) Loss 2.1029 (1.9940) Prec@1 43.750 (48.269) Prec@5 75.625 (78.747) Epoch: [55][500/11272] Time 0.823 (0.813) Data 0.001 (0.007) Loss 2.1008 (1.9952) Prec@1 45.000 (48.229) Prec@5 81.875 (78.741) Epoch: [55][510/11272] Time 0.755 (0.813) Data 0.002 (0.007) Loss 1.7992 (1.9960) Prec@1 50.000 (48.193) Prec@5 84.375 (78.737) Epoch: [55][520/11272] Time 0.756 (0.813) Data 0.002 (0.007) Loss 2.0725 (1.9952) Prec@1 48.125 (48.209) Prec@5 77.500 (78.751) Epoch: [55][530/11272] Time 0.854 (0.813) Data 0.002 (0.007) Loss 2.0169 (1.9952) Prec@1 50.000 (48.237) Prec@5 78.125 (78.741) Epoch: [55][540/11272] Time 0.861 (0.813) Data 0.001 (0.007) Loss 2.0341 (1.9949) Prec@1 52.500 (48.271) Prec@5 75.000 (78.743) Epoch: [55][550/11272] Time 0.767 (0.812) Data 0.001 (0.007) Loss 1.9273 (1.9945) Prec@1 52.500 (48.312) Prec@5 83.125 (78.734) Epoch: [55][560/11272] Time 0.781 (0.812) Data 0.002 (0.007) Loss 2.1919 (1.9955) Prec@1 41.250 (48.310) Prec@5 76.250 (78.692) Epoch: [55][570/11272] Time 0.859 (0.812) Data 0.002 (0.007) Loss 1.8756 (1.9957) Prec@1 55.625 (48.312) Prec@5 83.125 (78.687) Epoch: [55][580/11272] Time 0.724 (0.812) Data 0.001 (0.007) Loss 1.9045 (1.9960) Prec@1 51.250 (48.301) Prec@5 80.000 (78.698) Epoch: [55][590/11272] Time 0.759 (0.812) Data 0.002 (0.006) Loss 2.1155 (1.9971) Prec@1 48.125 (48.288) Prec@5 78.750 (78.702) Epoch: [55][600/11272] Time 0.840 (0.812) Data 0.002 (0.006) Loss 2.2412 (1.9970) Prec@1 38.125 (48.304) Prec@5 74.375 (78.713) Epoch: [55][610/11272] Time 0.807 (0.812) Data 0.001 (0.006) Loss 2.0470 (1.9971) Prec@1 45.000 (48.308) Prec@5 72.500 (78.690) Epoch: [55][620/11272] Time 0.742 (0.812) Data 0.002 (0.006) Loss 2.1178 (1.9976) Prec@1 45.000 (48.303) Prec@5 77.500 (78.662) Epoch: [55][630/11272] Time 0.757 (0.812) Data 0.002 (0.006) Loss 1.6287 (1.9963) Prec@1 56.250 (48.340) Prec@5 82.500 (78.690) Epoch: [55][640/11272] Time 0.838 (0.812) Data 0.002 (0.006) Loss 2.1245 (1.9963) Prec@1 47.500 (48.346) Prec@5 75.625 (78.686) Epoch: [55][650/11272] Time 0.871 (0.811) Data 0.001 (0.006) Loss 1.9538 (1.9965) Prec@1 48.125 (48.335) Prec@5 80.625 (78.690) Epoch: [55][660/11272] Time 0.757 (0.811) Data 0.002 (0.006) Loss 1.8975 (1.9952) Prec@1 53.750 (48.359) Prec@5 75.625 (78.701) Epoch: [55][670/11272] Time 0.747 (0.811) Data 0.002 (0.006) Loss 1.8000 (1.9952) Prec@1 50.000 (48.338) Prec@5 81.875 (78.713) Epoch: [55][680/11272] Time 0.851 (0.811) Data 0.002 (0.006) Loss 2.0619 (1.9966) Prec@1 43.750 (48.312) Prec@5 73.750 (78.673) Epoch: [55][690/11272] Time 0.844 (0.811) Data 0.002 (0.006) Loss 2.1599 (1.9972) Prec@1 46.250 (48.315) Prec@5 75.000 (78.657) Epoch: [55][700/11272] Time 0.755 (0.810) Data 0.002 (0.006) Loss 1.8833 (1.9975) Prec@1 44.375 (48.282) Prec@5 80.625 (78.650) Epoch: [55][710/11272] Time 0.817 (0.811) Data 0.002 (0.006) Loss 1.7895 (1.9980) Prec@1 51.875 (48.280) Prec@5 84.375 (78.644) Epoch: [55][720/11272] Time 0.854 (0.811) Data 0.002 (0.006) Loss 2.1426 (1.9979) Prec@1 43.125 (48.289) Prec@5 75.625 (78.645) Epoch: [55][730/11272] Time 0.747 (0.810) Data 0.001 (0.006) Loss 1.6899 (1.9980) Prec@1 52.500 (48.293) Prec@5 87.500 (78.649) Epoch: [55][740/11272] Time 0.757 (0.810) Data 0.002 (0.005) Loss 2.0553 (1.9976) Prec@1 44.375 (48.324) Prec@5 76.875 (78.653) Epoch: [55][750/11272] Time 0.837 (0.810) Data 0.002 (0.005) Loss 2.2748 (1.9979) Prec@1 43.750 (48.322) Prec@5 70.625 (78.650) Epoch: [55][760/11272] Time 0.859 (0.810) Data 0.001 (0.005) Loss 2.0651 (1.9978) Prec@1 45.000 (48.309) Prec@5 78.125 (78.663) Epoch: [55][770/11272] Time 0.770 (0.810) Data 0.002 (0.005) Loss 1.9943 (1.9985) Prec@1 45.000 (48.306) Prec@5 80.000 (78.649) Epoch: [55][780/11272] Time 0.742 (0.810) Data 0.001 (0.005) Loss 1.9439 (1.9991) Prec@1 43.125 (48.288) Prec@5 80.000 (78.639) Epoch: [55][790/11272] Time 0.903 (0.810) Data 0.002 (0.005) Loss 2.2071 (1.9997) Prec@1 41.875 (48.286) Prec@5 75.000 (78.635) Epoch: [55][800/11272] Time 0.889 (0.810) Data 0.002 (0.005) Loss 2.1586 (2.0003) Prec@1 43.750 (48.246) Prec@5 78.125 (78.631) Epoch: [55][810/11272] Time 0.777 (0.810) Data 0.002 (0.005) Loss 1.9639 (2.0003) Prec@1 51.250 (48.225) Prec@5 83.750 (78.622) Epoch: [55][820/11272] Time 0.724 (0.810) Data 0.002 (0.005) Loss 1.8207 (2.0010) Prec@1 54.375 (48.227) Prec@5 84.375 (78.602) Epoch: [55][830/11272] Time 0.875 (0.810) Data 0.002 (0.005) Loss 2.1101 (2.0011) Prec@1 40.625 (48.234) Prec@5 79.375 (78.597) Epoch: [55][840/11272] Time 0.738 (0.810) Data 0.003 (0.005) Loss 2.0047 (2.0019) Prec@1 45.000 (48.231) Prec@5 78.750 (78.575) Epoch: [55][850/11272] Time 0.774 (0.810) Data 0.002 (0.005) Loss 2.0685 (2.0027) Prec@1 45.625 (48.221) Prec@5 79.375 (78.568) Epoch: [55][860/11272] Time 0.896 (0.810) Data 0.002 (0.005) Loss 1.8795 (2.0032) Prec@1 53.750 (48.230) Prec@5 78.125 (78.564) Epoch: [55][870/11272] Time 0.809 (0.810) Data 0.001 (0.005) Loss 1.9126 (2.0024) Prec@1 48.750 (48.251) Prec@5 79.375 (78.567) Epoch: [55][880/11272] Time 0.742 (0.810) Data 0.002 (0.005) Loss 2.0760 (2.0025) Prec@1 45.625 (48.256) Prec@5 75.625 (78.553) Epoch: [55][890/11272] Time 0.751 (0.810) Data 0.001 (0.005) Loss 1.9394 (2.0027) Prec@1 50.625 (48.254) Prec@5 82.500 (78.570) Epoch: [55][900/11272] Time 0.843 (0.810) Data 0.001 (0.005) Loss 2.1495 (2.0021) Prec@1 45.625 (48.267) Prec@5 73.750 (78.573) Epoch: [55][910/11272] Time 0.888 (0.810) Data 0.002 (0.005) Loss 2.0920 (2.0026) Prec@1 43.750 (48.257) Prec@5 80.625 (78.565) Epoch: [55][920/11272] Time 0.771 (0.809) Data 0.002 (0.005) Loss 2.1411 (2.0031) Prec@1 44.375 (48.235) Prec@5 73.750 (78.561) Epoch: [55][930/11272] Time 0.730 (0.809) Data 0.001 (0.005) Loss 1.8975 (2.0029) Prec@1 52.500 (48.251) Prec@5 80.625 (78.563) Epoch: [55][940/11272] Time 0.847 (0.809) Data 0.001 (0.005) Loss 1.9151 (2.0034) Prec@1 50.625 (48.231) Prec@5 83.750 (78.561) Epoch: [55][950/11272] Time 0.863 (0.809) Data 0.002 (0.005) Loss 2.0735 (2.0028) Prec@1 51.250 (48.245) Prec@5 78.125 (78.571) Epoch: [55][960/11272] Time 0.768 (0.809) Data 0.002 (0.005) Loss 1.9623 (2.0026) Prec@1 46.250 (48.239) Prec@5 78.750 (78.573) Epoch: [55][970/11272] Time 0.885 (0.809) Data 0.002 (0.005) Loss 2.0726 (2.0032) Prec@1 45.000 (48.227) Prec@5 75.000 (78.565) Epoch: [55][980/11272] Time 0.888 (0.809) Data 0.002 (0.005) Loss 1.7816 (2.0030) Prec@1 52.500 (48.229) Prec@5 83.125 (78.568) Epoch: [55][990/11272] Time 0.739 (0.810) Data 0.001 (0.005) Loss 1.9258 (2.0030) Prec@1 48.125 (48.238) Prec@5 81.875 (78.577) Epoch: [55][1000/11272] Time 0.736 (0.810) Data 0.002 (0.004) Loss 2.1250 (2.0026) Prec@1 49.375 (48.253) Prec@5 75.625 (78.591) Epoch: [55][1010/11272] Time 0.877 (0.810) Data 0.001 (0.004) Loss 1.8630 (2.0027) Prec@1 48.750 (48.254) Prec@5 81.250 (78.584) Epoch: [55][1020/11272] Time 0.806 (0.810) Data 0.001 (0.004) Loss 1.8034 (2.0031) Prec@1 49.375 (48.247) Prec@5 83.125 (78.571) Epoch: [55][1030/11272] Time 0.735 (0.810) Data 0.001 (0.004) Loss 2.0329 (2.0030) Prec@1 45.000 (48.243) Prec@5 79.375 (78.579) Epoch: [55][1040/11272] Time 0.768 (0.810) Data 0.002 (0.004) Loss 1.5382 (2.0020) Prec@1 55.625 (48.246) Prec@5 83.750 (78.587) Epoch: [55][1050/11272] Time 0.869 (0.810) Data 0.002 (0.004) Loss 1.8417 (2.0014) Prec@1 56.250 (48.250) Prec@5 78.125 (78.598) Epoch: [55][1060/11272] Time 0.843 (0.810) Data 0.002 (0.004) Loss 2.0728 (2.0016) Prec@1 42.500 (48.245) Prec@5 75.000 (78.594) Epoch: [55][1070/11272] Time 0.786 (0.810) Data 0.002 (0.004) Loss 2.1091 (2.0016) Prec@1 47.500 (48.237) Prec@5 78.125 (78.602) Epoch: [55][1080/11272] Time 0.779 (0.810) Data 0.002 (0.004) Loss 2.1826 (2.0014) Prec@1 44.375 (48.229) Prec@5 76.875 (78.617) Epoch: [55][1090/11272] Time 0.861 (0.810) Data 0.002 (0.004) Loss 1.8082 (2.0013) Prec@1 49.375 (48.229) Prec@5 84.375 (78.619) Epoch: [55][1100/11272] Time 0.723 (0.810) Data 0.003 (0.004) Loss 2.1477 (2.0011) Prec@1 41.250 (48.231) Prec@5 76.250 (78.619) Epoch: [55][1110/11272] Time 0.746 (0.810) Data 0.002 (0.004) Loss 1.9923 (2.0017) Prec@1 46.250 (48.213) Prec@5 83.125 (78.609) Epoch: [55][1120/11272] Time 0.884 (0.810) Data 0.002 (0.004) Loss 1.9079 (2.0028) Prec@1 48.125 (48.186) Prec@5 80.000 (78.597) Epoch: [55][1130/11272] Time 0.861 (0.810) Data 0.002 (0.004) Loss 2.3302 (2.0036) Prec@1 41.875 (48.163) Prec@5 72.500 (78.582) Epoch: [55][1140/11272] Time 0.789 (0.810) Data 0.002 (0.004) Loss 1.8072 (2.0031) Prec@1 45.000 (48.152) Prec@5 84.375 (78.599) Epoch: [55][1150/11272] Time 0.762 (0.810) Data 0.002 (0.004) Loss 2.0303 (2.0029) Prec@1 48.750 (48.146) Prec@5 77.500 (78.608) Epoch: [55][1160/11272] Time 0.857 (0.810) Data 0.002 (0.004) Loss 1.9262 (2.0033) Prec@1 51.250 (48.152) Prec@5 80.625 (78.602) Epoch: [55][1170/11272] Time 0.874 (0.810) Data 0.002 (0.004) Loss 1.9071 (2.0031) Prec@1 51.875 (48.154) Prec@5 81.875 (78.619) Epoch: [55][1180/11272] Time 0.754 (0.810) Data 0.002 (0.004) Loss 1.7385 (2.0033) Prec@1 50.625 (48.150) Prec@5 83.750 (78.613) Epoch: [55][1190/11272] Time 0.799 (0.810) Data 0.002 (0.004) Loss 2.1548 (2.0028) Prec@1 42.500 (48.160) Prec@5 78.750 (78.624) Epoch: [55][1200/11272] Time 0.823 (0.810) Data 0.001 (0.004) Loss 2.1144 (2.0024) Prec@1 47.500 (48.160) Prec@5 79.375 (78.640) Epoch: [55][1210/11272] Time 0.864 (0.810) Data 0.002 (0.004) Loss 2.1718 (2.0027) Prec@1 43.125 (48.144) Prec@5 74.375 (78.646) Epoch: [55][1220/11272] Time 0.770 (0.810) Data 0.002 (0.004) Loss 2.1176 (2.0030) Prec@1 46.250 (48.133) Prec@5 75.625 (78.645) Epoch: [55][1230/11272] Time 0.913 (0.810) Data 0.002 (0.004) Loss 1.8324 (2.0029) Prec@1 54.375 (48.137) Prec@5 78.125 (78.651) Epoch: [55][1240/11272] Time 0.851 (0.810) Data 0.002 (0.004) Loss 2.0979 (2.0028) Prec@1 44.375 (48.134) Prec@5 76.250 (78.652) Epoch: [55][1250/11272] Time 0.731 (0.810) Data 0.001 (0.004) Loss 2.1120 (2.0032) Prec@1 45.000 (48.125) Prec@5 75.625 (78.649) Epoch: [55][1260/11272] Time 0.741 (0.810) Data 0.002 (0.004) Loss 2.1743 (2.0029) Prec@1 47.500 (48.145) Prec@5 71.875 (78.653) Epoch: [55][1270/11272] Time 0.886 (0.810) Data 0.002 (0.004) Loss 2.2194 (2.0028) Prec@1 42.500 (48.143) Prec@5 78.750 (78.657) Epoch: [55][1280/11272] Time 0.843 (0.810) Data 0.002 (0.004) Loss 1.7557 (2.0030) Prec@1 51.250 (48.136) Prec@5 84.375 (78.653) Epoch: [55][1290/11272] Time 0.750 (0.810) Data 0.002 (0.004) Loss 1.9820 (2.0037) Prec@1 50.625 (48.132) Prec@5 78.125 (78.631) Epoch: [55][1300/11272] Time 0.797 (0.810) Data 0.002 (0.004) Loss 2.0318 (2.0040) Prec@1 46.250 (48.132) Prec@5 77.500 (78.625) Epoch: [55][1310/11272] Time 0.880 (0.810) Data 0.002 (0.004) Loss 2.1160 (2.0042) Prec@1 47.500 (48.126) Prec@5 73.125 (78.613) Epoch: [55][1320/11272] Time 0.859 (0.810) Data 0.002 (0.004) Loss 2.1468 (2.0045) Prec@1 50.625 (48.128) Prec@5 75.625 (78.606) Epoch: [55][1330/11272] Time 0.749 (0.810) Data 0.002 (0.004) Loss 2.1052 (2.0047) Prec@1 45.000 (48.134) Prec@5 76.875 (78.611) Epoch: [55][1340/11272] Time 0.770 (0.810) Data 0.002 (0.004) Loss 1.9462 (2.0045) Prec@1 51.250 (48.132) Prec@5 81.875 (78.620) Epoch: [55][1350/11272] Time 0.832 (0.810) Data 0.002 (0.004) Loss 1.7767 (2.0047) Prec@1 50.000 (48.119) Prec@5 81.250 (78.614) Epoch: [55][1360/11272] Time 0.854 (0.810) Data 0.002 (0.004) Loss 1.8989 (2.0041) Prec@1 47.500 (48.129) Prec@5 78.125 (78.628) Epoch: [55][1370/11272] Time 0.751 (0.810) Data 0.002 (0.004) Loss 1.9146 (2.0039) Prec@1 49.375 (48.127) Prec@5 83.125 (78.634) Epoch: [55][1380/11272] Time 0.889 (0.810) Data 0.002 (0.004) Loss 1.8426 (2.0034) Prec@1 46.875 (48.135) Prec@5 83.125 (78.641) Epoch: [55][1390/11272] Time 0.838 (0.809) Data 0.002 (0.004) Loss 1.9447 (2.0036) Prec@1 48.125 (48.125) Prec@5 80.000 (78.631) Epoch: [55][1400/11272] Time 0.735 (0.809) Data 0.001 (0.004) Loss 1.8498 (2.0035) Prec@1 51.250 (48.122) Prec@5 83.750 (78.632) Epoch: [55][1410/11272] Time 0.751 (0.809) Data 0.002 (0.004) Loss 2.2265 (2.0037) Prec@1 45.000 (48.116) Prec@5 76.250 (78.631) Epoch: [55][1420/11272] Time 0.859 (0.809) Data 0.002 (0.004) Loss 1.9535 (2.0038) Prec@1 46.875 (48.110) Prec@5 80.625 (78.632) Epoch: [55][1430/11272] Time 0.849 (0.809) Data 0.001 (0.004) Loss 2.1671 (2.0032) Prec@1 43.125 (48.122) Prec@5 75.000 (78.641) Epoch: [55][1440/11272] Time 0.730 (0.809) Data 0.001 (0.004) Loss 1.8840 (2.0027) Prec@1 50.625 (48.142) Prec@5 81.250 (78.648) Epoch: [55][1450/11272] Time 0.762 (0.809) Data 0.002 (0.004) Loss 1.8278 (2.0031) Prec@1 55.625 (48.135) Prec@5 81.250 (78.636) Epoch: [55][1460/11272] Time 0.831 (0.809) Data 0.001 (0.004) Loss 1.9621 (2.0029) Prec@1 46.250 (48.135) Prec@5 78.125 (78.639) Epoch: [55][1470/11272] Time 0.839 (0.809) Data 0.001 (0.004) Loss 2.1163 (2.0034) Prec@1 44.375 (48.120) Prec@5 75.625 (78.629) Epoch: [55][1480/11272] Time 0.743 (0.809) Data 0.002 (0.004) Loss 2.0438 (2.0037) Prec@1 47.500 (48.119) Prec@5 80.625 (78.617) Epoch: [55][1490/11272] Time 0.811 (0.809) Data 0.002 (0.004) Loss 1.9414 (2.0036) Prec@1 49.375 (48.113) Prec@5 76.875 (78.615) Epoch: [55][1500/11272] Time 0.895 (0.809) Data 0.002 (0.004) Loss 2.2507 (2.0034) Prec@1 45.000 (48.113) Prec@5 71.875 (78.617) Epoch: [55][1510/11272] Time 0.741 (0.809) Data 0.001 (0.004) Loss 2.0070 (2.0042) Prec@1 48.750 (48.102) Prec@5 74.375 (78.594) Epoch: [55][1520/11272] Time 0.781 (0.809) Data 0.002 (0.004) Loss 2.0012 (2.0039) Prec@1 48.125 (48.104) Prec@5 80.000 (78.597) Epoch: [55][1530/11272] Time 0.848 (0.809) Data 0.001 (0.004) Loss 1.7906 (2.0034) Prec@1 55.000 (48.117) Prec@5 83.125 (78.612) Epoch: [55][1540/11272] Time 0.972 (0.810) Data 0.002 (0.004) Loss 1.9113 (2.0035) Prec@1 50.000 (48.118) Prec@5 81.250 (78.612) Epoch: [55][1550/11272] Time 0.767 (0.810) Data 0.001 (0.004) Loss 2.1601 (2.0032) Prec@1 43.750 (48.127) Prec@5 76.875 (78.616) Epoch: [55][1560/11272] Time 0.750 (0.810) Data 0.002 (0.003) Loss 1.8951 (2.0031) Prec@1 55.000 (48.126) Prec@5 78.125 (78.616) Epoch: [55][1570/11272] Time 0.875 (0.809) Data 0.002 (0.003) Loss 1.9704 (2.0031) Prec@1 50.625 (48.119) Prec@5 81.250 (78.622) Epoch: [55][1580/11272] Time 0.882 (0.809) Data 0.002 (0.003) Loss 1.9449 (2.0033) Prec@1 48.750 (48.109) Prec@5 78.750 (78.620) Epoch: [55][1590/11272] Time 0.730 (0.809) Data 0.002 (0.003) Loss 1.8743 (2.0034) Prec@1 53.750 (48.120) Prec@5 81.250 (78.615) Epoch: [55][1600/11272] Time 0.755 (0.809) Data 0.002 (0.003) Loss 2.0125 (2.0034) Prec@1 48.125 (48.124) Prec@5 79.375 (78.611) Epoch: [55][1610/11272] Time 0.857 (0.809) Data 0.002 (0.003) Loss 2.1910 (2.0032) Prec@1 44.375 (48.125) Prec@5 75.625 (78.618) Epoch: [55][1620/11272] Time 0.850 (0.809) Data 0.002 (0.003) Loss 2.1564 (2.0035) Prec@1 43.750 (48.125) Prec@5 71.875 (78.608) Epoch: [55][1630/11272] Time 0.752 (0.809) Data 0.002 (0.003) Loss 2.2794 (2.0039) Prec@1 47.500 (48.124) Prec@5 71.875 (78.599) Epoch: [55][1640/11272] Time 0.853 (0.809) Data 0.002 (0.003) Loss 1.7490 (2.0042) Prec@1 55.000 (48.117) Prec@5 82.500 (78.590) Epoch: [55][1650/11272] Time 0.847 (0.809) Data 0.002 (0.003) Loss 1.7176 (2.0040) Prec@1 54.375 (48.121) Prec@5 83.125 (78.591) Epoch: [55][1660/11272] Time 0.768 (0.809) Data 0.002 (0.003) Loss 2.0748 (2.0040) Prec@1 49.375 (48.119) Prec@5 79.375 (78.590) Epoch: [55][1670/11272] Time 0.762 (0.809) Data 0.002 (0.003) Loss 1.9118 (2.0041) Prec@1 53.125 (48.107) Prec@5 80.000 (78.586) Epoch: [55][1680/11272] Time 0.872 (0.809) Data 0.001 (0.003) Loss 1.9285 (2.0040) Prec@1 51.250 (48.102) Prec@5 80.625 (78.595) Epoch: [55][1690/11272] Time 0.808 (0.809) Data 0.001 (0.003) Loss 2.3789 (2.0042) Prec@1 44.375 (48.098) Prec@5 72.500 (78.592) Epoch: [55][1700/11272] Time 0.735 (0.809) Data 0.002 (0.003) Loss 1.8912 (2.0044) Prec@1 51.250 (48.097) Prec@5 81.875 (78.598) Epoch: [55][1710/11272] Time 0.759 (0.809) Data 0.002 (0.003) Loss 2.1489 (2.0043) Prec@1 44.375 (48.098) Prec@5 76.250 (78.597) Epoch: [55][1720/11272] Time 0.924 (0.809) Data 0.002 (0.003) Loss 2.0947 (2.0048) Prec@1 46.250 (48.088) Prec@5 80.000 (78.596) Epoch: [55][1730/11272] Time 0.836 (0.809) Data 0.001 (0.003) Loss 2.1491 (2.0050) Prec@1 46.875 (48.091) Prec@5 78.125 (78.588) Epoch: [55][1740/11272] Time 0.764 (0.809) Data 0.001 (0.003) Loss 2.2927 (2.0054) Prec@1 45.625 (48.084) Prec@5 73.125 (78.582) Epoch: [55][1750/11272] Time 0.736 (0.809) Data 0.001 (0.003) Loss 2.0198 (2.0054) Prec@1 48.125 (48.087) Prec@5 76.875 (78.585) Epoch: [55][1760/11272] Time 0.834 (0.809) Data 0.002 (0.003) Loss 2.1416 (2.0056) Prec@1 46.875 (48.081) Prec@5 74.375 (78.576) Epoch: [55][1770/11272] Time 0.758 (0.809) Data 0.003 (0.003) Loss 2.0175 (2.0052) Prec@1 46.250 (48.087) Prec@5 80.625 (78.586) Epoch: [55][1780/11272] Time 0.725 (0.809) Data 0.001 (0.003) Loss 1.9273 (2.0051) Prec@1 51.250 (48.089) Prec@5 81.875 (78.585) Epoch: [55][1790/11272] Time 0.861 (0.809) Data 0.002 (0.003) Loss 2.0168 (2.0050) Prec@1 46.250 (48.091) Prec@5 78.125 (78.589) Epoch: [55][1800/11272] Time 0.854 (0.809) Data 0.002 (0.003) Loss 1.8200 (2.0051) Prec@1 49.375 (48.090) Prec@5 81.875 (78.584) Epoch: [55][1810/11272] Time 0.831 (0.809) Data 0.001 (0.003) Loss 2.1044 (2.0052) Prec@1 43.750 (48.092) Prec@5 73.750 (78.578) Epoch: [55][1820/11272] Time 0.800 (0.809) Data 0.002 (0.003) Loss 1.9189 (2.0053) Prec@1 47.500 (48.093) Prec@5 77.500 (78.579) Epoch: [55][1830/11272] Time 0.860 (0.809) Data 0.002 (0.003) Loss 1.9190 (2.0051) Prec@1 50.625 (48.101) Prec@5 82.500 (78.585) Epoch: [55][1840/11272] Time 0.863 (0.809) Data 0.002 (0.003) Loss 2.0923 (2.0051) Prec@1 51.875 (48.101) Prec@5 75.625 (78.582) Epoch: [55][1850/11272] Time 0.758 (0.809) Data 0.001 (0.003) Loss 1.8897 (2.0050) Prec@1 50.000 (48.106) Prec@5 87.500 (78.584) Epoch: [55][1860/11272] Time 0.743 (0.809) Data 0.002 (0.003) Loss 2.1709 (2.0046) Prec@1 38.750 (48.111) Prec@5 79.375 (78.592) Epoch: [55][1870/11272] Time 0.836 (0.809) Data 0.001 (0.003) Loss 2.2011 (2.0049) Prec@1 43.750 (48.108) Prec@5 76.250 (78.583) Epoch: [55][1880/11272] Time 0.869 (0.809) Data 0.002 (0.003) Loss 1.9833 (2.0051) Prec@1 45.625 (48.098) Prec@5 78.125 (78.578) Epoch: [55][1890/11272] Time 0.750 (0.809) Data 0.001 (0.003) Loss 1.8713 (2.0046) Prec@1 48.125 (48.105) Prec@5 81.875 (78.586) Epoch: [55][1900/11272] Time 0.919 (0.809) Data 0.002 (0.003) Loss 2.3677 (2.0046) Prec@1 40.625 (48.105) Prec@5 75.625 (78.587) Epoch: [55][1910/11272] Time 0.866 (0.809) Data 0.001 (0.003) Loss 2.1280 (2.0048) Prec@1 49.375 (48.099) Prec@5 72.500 (78.580) Epoch: [55][1920/11272] Time 0.756 (0.809) Data 0.002 (0.003) Loss 1.8383 (2.0049) Prec@1 56.250 (48.105) Prec@5 83.125 (78.583) Epoch: [55][1930/11272] Time 0.755 (0.809) Data 0.003 (0.003) Loss 1.6711 (2.0051) Prec@1 58.750 (48.098) Prec@5 81.250 (78.581) Epoch: [55][1940/11272] Time 0.899 (0.809) Data 0.002 (0.003) Loss 2.1571 (2.0054) Prec@1 45.625 (48.097) Prec@5 76.875 (78.576) Epoch: [55][1950/11272] Time 0.819 (0.809) Data 0.002 (0.003) Loss 2.1303 (2.0053) Prec@1 46.250 (48.097) Prec@5 75.000 (78.576) Epoch: [55][1960/11272] Time 0.807 (0.809) Data 0.002 (0.003) Loss 2.1074 (2.0054) Prec@1 44.375 (48.097) Prec@5 78.750 (78.575) Epoch: [55][1970/11272] Time 0.746 (0.809) Data 0.002 (0.003) Loss 2.0943 (2.0052) Prec@1 47.500 (48.099) Prec@5 75.625 (78.574) Epoch: [55][1980/11272] Time 0.885 (0.809) Data 0.002 (0.003) Loss 1.8316 (2.0052) Prec@1 52.500 (48.098) Prec@5 82.500 (78.579) Epoch: [55][1990/11272] Time 0.849 (0.809) Data 0.002 (0.003) Loss 2.1290 (2.0054) Prec@1 43.750 (48.087) Prec@5 79.375 (78.578) Epoch: [55][2000/11272] Time 0.733 (0.809) Data 0.002 (0.003) Loss 2.0459 (2.0055) Prec@1 46.875 (48.089) Prec@5 78.750 (78.576) Epoch: [55][2010/11272] Time 0.744 (0.809) Data 0.001 (0.003) Loss 1.9291 (2.0052) Prec@1 53.750 (48.101) Prec@5 81.875 (78.583) Epoch: [55][2020/11272] Time 0.901 (0.809) Data 0.002 (0.003) Loss 1.8536 (2.0045) Prec@1 51.875 (48.114) Prec@5 81.875 (78.593) Epoch: [55][2030/11272] Time 0.769 (0.809) Data 0.004 (0.003) Loss 2.3457 (2.0049) Prec@1 44.375 (48.104) Prec@5 69.375 (78.579) Epoch: [55][2040/11272] Time 0.759 (0.809) Data 0.002 (0.003) Loss 1.8419 (2.0045) Prec@1 54.375 (48.115) Prec@5 79.375 (78.585) Epoch: [55][2050/11272] Time 0.829 (0.809) Data 0.002 (0.003) Loss 2.1025 (2.0047) Prec@1 43.125 (48.104) Prec@5 78.125 (78.581) Epoch: [55][2060/11272] Time 0.802 (0.809) Data 0.001 (0.003) Loss 1.9753 (2.0052) Prec@1 46.875 (48.095) Prec@5 78.125 (78.569) Epoch: [55][2070/11272] Time 0.744 (0.809) Data 0.002 (0.003) Loss 2.2738 (2.0055) Prec@1 41.875 (48.091) Prec@5 74.375 (78.567) Epoch: [55][2080/11272] Time 0.754 (0.809) Data 0.002 (0.003) Loss 2.1973 (2.0056) Prec@1 45.625 (48.089) Prec@5 78.750 (78.564) Epoch: [55][2090/11272] Time 0.831 (0.809) Data 0.002 (0.003) Loss 2.0822 (2.0057) Prec@1 44.375 (48.089) Prec@5 76.250 (78.565) Epoch: [55][2100/11272] Time 0.846 (0.809) Data 0.002 (0.003) Loss 1.8478 (2.0055) Prec@1 51.250 (48.085) Prec@5 80.000 (78.569) Epoch: [55][2110/11272] Time 0.739 (0.809) Data 0.002 (0.003) Loss 2.2081 (2.0059) Prec@1 45.625 (48.075) Prec@5 76.250 (78.567) Epoch: [55][2120/11272] Time 0.766 (0.809) Data 0.002 (0.003) Loss 2.0891 (2.0062) Prec@1 47.500 (48.065) Prec@5 75.625 (78.563) Epoch: [55][2130/11272] Time 0.863 (0.809) Data 0.002 (0.003) Loss 1.9109 (2.0059) Prec@1 53.750 (48.078) Prec@5 78.750 (78.568) Epoch: [55][2140/11272] Time 0.827 (0.809) Data 0.002 (0.003) Loss 1.9981 (2.0059) Prec@1 53.125 (48.082) Prec@5 77.500 (78.565) Epoch: [55][2150/11272] Time 0.750 (0.808) Data 0.002 (0.003) Loss 1.9463 (2.0058) Prec@1 49.375 (48.082) Prec@5 75.000 (78.562) Epoch: [55][2160/11272] Time 0.859 (0.809) Data 0.001 (0.003) Loss 1.7325 (2.0059) Prec@1 55.000 (48.078) Prec@5 83.125 (78.556) Epoch: [55][2170/11272] Time 0.843 (0.808) Data 0.002 (0.003) Loss 1.9284 (2.0059) Prec@1 46.875 (48.081) Prec@5 82.500 (78.557) Epoch: [55][2180/11272] Time 0.739 (0.808) Data 0.001 (0.003) Loss 1.9825 (2.0059) Prec@1 49.375 (48.086) Prec@5 80.625 (78.558) Epoch: [55][2190/11272] Time 0.763 (0.808) Data 0.002 (0.003) Loss 1.9813 (2.0059) Prec@1 48.750 (48.089) Prec@5 80.625 (78.562) Epoch: [55][2200/11272] Time 0.849 (0.808) Data 0.002 (0.003) Loss 1.8894 (2.0059) Prec@1 50.625 (48.086) Prec@5 83.125 (78.563) Epoch: [55][2210/11272] Time 0.862 (0.808) Data 0.002 (0.003) Loss 2.1252 (2.0061) Prec@1 43.125 (48.080) Prec@5 73.750 (78.562) Epoch: [55][2220/11272] Time 0.743 (0.808) Data 0.002 (0.003) Loss 2.0571 (2.0061) Prec@1 48.750 (48.074) Prec@5 78.125 (78.561) Epoch: [55][2230/11272] Time 0.765 (0.808) Data 0.002 (0.003) Loss 1.8848 (2.0057) Prec@1 52.500 (48.087) Prec@5 78.750 (78.567) Epoch: [55][2240/11272] Time 0.860 (0.808) Data 0.002 (0.003) Loss 2.2784 (2.0057) Prec@1 45.000 (48.089) Prec@5 69.375 (78.566) Epoch: [55][2250/11272] Time 0.866 (0.808) Data 0.002 (0.003) Loss 2.1449 (2.0058) Prec@1 44.375 (48.085) Prec@5 75.625 (78.565) Epoch: [55][2260/11272] Time 0.752 (0.808) Data 0.002 (0.003) Loss 2.0312 (2.0061) Prec@1 48.750 (48.077) Prec@5 75.625 (78.562) Epoch: [55][2270/11272] Time 0.753 (0.808) Data 0.002 (0.003) Loss 2.1930 (2.0063) Prec@1 40.000 (48.068) Prec@5 73.125 (78.555) Epoch: [55][2280/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 2.3412 (2.0064) Prec@1 42.500 (48.073) Prec@5 70.625 (78.554) Epoch: [55][2290/11272] Time 0.896 (0.808) Data 0.002 (0.003) Loss 1.7621 (2.0062) Prec@1 54.375 (48.079) Prec@5 81.875 (78.557) Epoch: [55][2300/11272] Time 0.774 (0.808) Data 0.002 (0.003) Loss 2.1922 (2.0063) Prec@1 43.125 (48.081) Prec@5 74.375 (78.550) Epoch: [55][2310/11272] Time 0.809 (0.808) Data 0.002 (0.003) Loss 1.8281 (2.0065) Prec@1 51.875 (48.079) Prec@5 80.625 (78.550) Epoch: [55][2320/11272] Time 0.802 (0.808) Data 0.001 (0.003) Loss 1.9698 (2.0065) Prec@1 50.000 (48.077) Prec@5 82.500 (78.548) Epoch: [55][2330/11272] Time 0.707 (0.808) Data 0.001 (0.003) Loss 1.8936 (2.0066) Prec@1 50.000 (48.075) Prec@5 81.250 (78.549) Epoch: [55][2340/11272] Time 0.728 (0.808) Data 0.002 (0.003) Loss 2.1002 (2.0066) Prec@1 52.500 (48.083) Prec@5 77.500 (78.549) Epoch: [55][2350/11272] Time 0.839 (0.808) Data 0.001 (0.003) Loss 2.1285 (2.0070) Prec@1 47.500 (48.080) Prec@5 74.375 (78.542) Epoch: [55][2360/11272] Time 0.849 (0.808) Data 0.002 (0.003) Loss 2.0771 (2.0071) Prec@1 51.250 (48.073) Prec@5 80.000 (78.542) Epoch: [55][2370/11272] Time 0.742 (0.808) Data 0.002 (0.003) Loss 1.9486 (2.0070) Prec@1 50.000 (48.077) Prec@5 78.125 (78.543) Epoch: [55][2380/11272] Time 0.713 (0.808) Data 0.001 (0.003) Loss 2.3670 (2.0073) Prec@1 42.500 (48.069) Prec@5 73.750 (78.534) Epoch: [55][2390/11272] Time 0.868 (0.808) Data 0.002 (0.003) Loss 1.9691 (2.0074) Prec@1 48.750 (48.060) Prec@5 76.250 (78.533) Epoch: [55][2400/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 2.1080 (2.0072) Prec@1 53.125 (48.064) Prec@5 73.750 (78.534) Epoch: [55][2410/11272] Time 0.783 (0.808) Data 0.002 (0.003) Loss 1.9493 (2.0070) Prec@1 51.875 (48.074) Prec@5 79.375 (78.539) Epoch: [55][2420/11272] Time 0.705 (0.808) Data 0.001 (0.003) Loss 1.6899 (2.0071) Prec@1 52.500 (48.066) Prec@5 83.750 (78.541) Epoch: [55][2430/11272] Time 0.841 (0.808) Data 0.001 (0.003) Loss 1.9056 (2.0071) Prec@1 50.625 (48.067) Prec@5 80.625 (78.539) Epoch: [55][2440/11272] Time 0.731 (0.808) Data 0.002 (0.003) Loss 2.2004 (2.0072) Prec@1 43.125 (48.058) Prec@5 73.125 (78.534) Epoch: [55][2450/11272] Time 0.747 (0.808) Data 0.002 (0.003) Loss 1.8149 (2.0072) Prec@1 51.875 (48.059) Prec@5 81.250 (78.532) Epoch: [55][2460/11272] Time 0.828 (0.808) Data 0.001 (0.003) Loss 2.1309 (2.0073) Prec@1 47.500 (48.062) Prec@5 81.250 (78.533) Epoch: [55][2470/11272] Time 0.844 (0.808) Data 0.002 (0.003) Loss 1.9382 (2.0072) Prec@1 46.250 (48.066) Prec@5 78.125 (78.538) Epoch: [55][2480/11272] Time 0.724 (0.808) Data 0.001 (0.003) Loss 1.8961 (2.0071) Prec@1 51.250 (48.070) Prec@5 77.500 (78.537) Epoch: [55][2490/11272] Time 0.766 (0.808) Data 0.002 (0.003) Loss 1.9677 (2.0071) Prec@1 51.875 (48.075) Prec@5 80.625 (78.538) Epoch: [55][2500/11272] Time 0.835 (0.808) Data 0.002 (0.003) Loss 1.9878 (2.0070) Prec@1 47.500 (48.074) Prec@5 80.000 (78.547) Epoch: [55][2510/11272] Time 0.859 (0.808) Data 0.002 (0.003) Loss 1.7785 (2.0069) Prec@1 53.750 (48.074) Prec@5 83.750 (78.549) Epoch: [55][2520/11272] Time 0.746 (0.807) Data 0.001 (0.003) Loss 2.0241 (2.0070) Prec@1 54.375 (48.070) Prec@5 75.000 (78.551) Epoch: [55][2530/11272] Time 0.764 (0.807) Data 0.002 (0.003) Loss 2.3960 (2.0073) Prec@1 38.750 (48.063) Prec@5 73.750 (78.546) Epoch: [55][2540/11272] Time 0.852 (0.808) Data 0.002 (0.003) Loss 1.8069 (2.0073) Prec@1 55.625 (48.057) Prec@5 81.875 (78.550) Epoch: [55][2550/11272] Time 0.840 (0.807) Data 0.001 (0.003) Loss 2.0745 (2.0073) Prec@1 50.625 (48.056) Prec@5 77.500 (78.551) Epoch: [55][2560/11272] Time 0.754 (0.807) Data 0.002 (0.003) Loss 1.7681 (2.0070) Prec@1 55.000 (48.065) Prec@5 86.250 (78.558) Epoch: [55][2570/11272] Time 0.841 (0.807) Data 0.001 (0.003) Loss 2.2297 (2.0069) Prec@1 43.125 (48.061) Prec@5 75.625 (78.562) Epoch: [55][2580/11272] Time 0.847 (0.807) Data 0.002 (0.003) Loss 1.8843 (2.0071) Prec@1 51.250 (48.057) Prec@5 81.875 (78.558) Epoch: [55][2590/11272] Time 0.747 (0.807) Data 0.001 (0.003) Loss 1.8326 (2.0070) Prec@1 48.750 (48.059) Prec@5 81.250 (78.557) Epoch: [55][2600/11272] Time 0.754 (0.807) Data 0.002 (0.003) Loss 2.0872 (2.0071) Prec@1 46.250 (48.060) Prec@5 75.000 (78.553) Epoch: [55][2610/11272] Time 0.890 (0.807) Data 0.002 (0.003) Loss 2.0953 (2.0070) Prec@1 46.875 (48.056) Prec@5 82.500 (78.556) Epoch: [55][2620/11272] Time 0.864 (0.807) Data 0.002 (0.003) Loss 1.9015 (2.0071) Prec@1 46.875 (48.053) Prec@5 78.125 (78.550) Epoch: [55][2630/11272] Time 0.772 (0.807) Data 0.002 (0.003) Loss 2.1904 (2.0072) Prec@1 47.500 (48.051) Prec@5 72.500 (78.550) Epoch: [55][2640/11272] Time 0.733 (0.807) Data 0.002 (0.003) Loss 2.1802 (2.0072) Prec@1 42.500 (48.053) Prec@5 78.750 (78.550) Epoch: [55][2650/11272] Time 0.852 (0.807) Data 0.002 (0.003) Loss 2.1618 (2.0069) Prec@1 41.875 (48.058) Prec@5 75.625 (78.551) Epoch: [55][2660/11272] Time 0.872 (0.807) Data 0.002 (0.003) Loss 2.0122 (2.0069) Prec@1 50.000 (48.062) Prec@5 80.000 (78.551) Epoch: [55][2670/11272] Time 0.792 (0.807) Data 0.002 (0.003) Loss 2.2387 (2.0071) Prec@1 42.500 (48.059) Prec@5 73.125 (78.547) Epoch: [55][2680/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 1.8988 (2.0071) Prec@1 50.625 (48.059) Prec@5 78.750 (78.547) Epoch: [55][2690/11272] Time 0.842 (0.807) Data 0.001 (0.003) Loss 2.1324 (2.0069) Prec@1 48.750 (48.068) Prec@5 73.750 (78.547) Epoch: [55][2700/11272] Time 0.755 (0.807) Data 0.003 (0.003) Loss 1.9487 (2.0068) Prec@1 47.500 (48.067) Prec@5 84.375 (78.553) Epoch: [55][2710/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 2.0664 (2.0069) Prec@1 47.500 (48.067) Prec@5 75.625 (78.552) Epoch: [55][2720/11272] Time 0.865 (0.807) Data 0.002 (0.003) Loss 2.4950 (2.0071) Prec@1 38.750 (48.063) Prec@5 69.375 (78.547) Epoch: [55][2730/11272] Time 0.853 (0.807) Data 0.002 (0.003) Loss 1.9755 (2.0073) Prec@1 48.125 (48.063) Prec@5 81.250 (78.548) Epoch: [55][2740/11272] Time 0.748 (0.807) Data 0.001 (0.003) Loss 2.2744 (2.0074) Prec@1 45.625 (48.060) Prec@5 72.500 (78.543) Epoch: [55][2750/11272] Time 0.736 (0.807) Data 0.002 (0.003) Loss 2.0484 (2.0076) Prec@1 46.250 (48.055) Prec@5 73.750 (78.537) Epoch: [55][2760/11272] Time 0.838 (0.807) Data 0.002 (0.003) Loss 1.7733 (2.0074) Prec@1 56.875 (48.061) Prec@5 84.375 (78.544) Epoch: [55][2770/11272] Time 0.887 (0.807) Data 0.002 (0.003) Loss 1.7074 (2.0075) Prec@1 56.875 (48.061) Prec@5 83.125 (78.545) Epoch: [55][2780/11272] Time 0.715 (0.807) Data 0.001 (0.003) Loss 2.0533 (2.0078) Prec@1 41.875 (48.054) Prec@5 76.250 (78.542) Epoch: [55][2790/11272] Time 0.746 (0.807) Data 0.002 (0.003) Loss 2.0115 (2.0080) Prec@1 47.500 (48.050) Prec@5 79.375 (78.541) Epoch: [55][2800/11272] Time 0.837 (0.807) Data 0.002 (0.003) Loss 2.1742 (2.0081) Prec@1 43.750 (48.047) Prec@5 78.750 (78.538) Epoch: [55][2810/11272] Time 0.879 (0.807) Data 0.002 (0.003) Loss 2.2414 (2.0083) Prec@1 46.875 (48.044) Prec@5 75.625 (78.536) Epoch: [55][2820/11272] Time 0.760 (0.807) Data 0.002 (0.003) Loss 2.0752 (2.0083) Prec@1 41.875 (48.044) Prec@5 80.000 (78.540) Epoch: [55][2830/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 1.8448 (2.0082) Prec@1 50.000 (48.043) Prec@5 81.250 (78.544) Epoch: [55][2840/11272] Time 0.859 (0.807) Data 0.002 (0.003) Loss 1.9564 (2.0081) Prec@1 46.250 (48.044) Prec@5 77.500 (78.545) Epoch: [55][2850/11272] Time 0.724 (0.807) Data 0.001 (0.003) Loss 2.1965 (2.0082) Prec@1 43.125 (48.043) Prec@5 75.625 (78.544) Epoch: [55][2860/11272] Time 0.741 (0.807) Data 0.001 (0.003) Loss 2.1418 (2.0084) Prec@1 44.375 (48.037) Prec@5 78.125 (78.541) Epoch: [55][2870/11272] Time 0.861 (0.807) Data 0.002 (0.003) Loss 2.1518 (2.0085) Prec@1 51.250 (48.043) Prec@5 78.750 (78.538) Epoch: [55][2880/11272] Time 0.848 (0.807) Data 0.002 (0.003) Loss 2.0474 (2.0084) Prec@1 45.000 (48.041) Prec@5 78.125 (78.536) Epoch: [55][2890/11272] Time 0.723 (0.807) Data 0.001 (0.003) Loss 2.1657 (2.0082) Prec@1 45.625 (48.044) Prec@5 74.375 (78.539) Epoch: [55][2900/11272] Time 0.749 (0.807) Data 0.002 (0.003) Loss 1.9948 (2.0084) Prec@1 44.375 (48.037) Prec@5 78.125 (78.530) Epoch: [55][2910/11272] Time 0.853 (0.807) Data 0.002 (0.003) Loss 1.7302 (2.0082) Prec@1 56.250 (48.038) Prec@5 85.000 (78.533) Epoch: [55][2920/11272] Time 0.859 (0.807) Data 0.002 (0.003) Loss 2.1068 (2.0082) Prec@1 44.375 (48.038) Prec@5 80.625 (78.534) Epoch: [55][2930/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 1.9278 (2.0081) Prec@1 53.125 (48.041) Prec@5 82.500 (78.537) Epoch: [55][2940/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 1.7190 (2.0080) Prec@1 51.250 (48.051) Prec@5 81.250 (78.536) Epoch: [55][2950/11272] Time 0.866 (0.807) Data 0.002 (0.003) Loss 1.6283 (2.0078) Prec@1 57.500 (48.057) Prec@5 86.875 (78.539) Epoch: [55][2960/11272] Time 0.782 (0.807) Data 0.004 (0.003) Loss 2.2195 (2.0081) Prec@1 41.875 (48.055) Prec@5 74.375 (78.533) Epoch: [55][2970/11272] Time 0.743 (0.807) Data 0.001 (0.003) Loss 2.2777 (2.0081) Prec@1 37.500 (48.056) Prec@5 75.625 (78.534) Epoch: [55][2980/11272] Time 0.833 (0.807) Data 0.002 (0.003) Loss 1.9981 (2.0080) Prec@1 49.375 (48.060) Prec@5 76.875 (78.531) Epoch: [55][2990/11272] Time 0.848 (0.807) Data 0.002 (0.003) Loss 2.0867 (2.0080) Prec@1 48.750 (48.062) Prec@5 80.000 (78.531) Epoch: [55][3000/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 1.9572 (2.0077) Prec@1 53.750 (48.070) Prec@5 81.250 (78.536) Epoch: [55][3010/11272] Time 0.759 (0.807) Data 0.002 (0.003) Loss 2.1445 (2.0078) Prec@1 43.750 (48.063) Prec@5 77.500 (78.537) Epoch: [55][3020/11272] Time 0.865 (0.807) Data 0.002 (0.003) Loss 1.9560 (2.0080) Prec@1 45.625 (48.054) Prec@5 80.000 (78.533) Epoch: [55][3030/11272] Time 0.832 (0.807) Data 0.001 (0.003) Loss 2.3539 (2.0082) Prec@1 41.250 (48.047) Prec@5 72.500 (78.530) Epoch: [55][3040/11272] Time 0.787 (0.807) Data 0.001 (0.003) Loss 2.0724 (2.0080) Prec@1 45.625 (48.050) Prec@5 76.875 (78.533) Epoch: [55][3050/11272] Time 0.754 (0.807) Data 0.002 (0.003) Loss 2.0657 (2.0082) Prec@1 47.500 (48.046) Prec@5 76.875 (78.527) Epoch: [55][3060/11272] Time 0.856 (0.807) Data 0.001 (0.003) Loss 1.9254 (2.0081) Prec@1 49.375 (48.047) Prec@5 77.500 (78.528) Epoch: [55][3070/11272] Time 0.847 (0.807) Data 0.002 (0.003) Loss 2.0721 (2.0085) Prec@1 47.500 (48.043) Prec@5 74.375 (78.522) Epoch: [55][3080/11272] Time 0.754 (0.807) Data 0.002 (0.003) Loss 2.1276 (2.0085) Prec@1 47.500 (48.049) Prec@5 76.250 (78.521) Epoch: [55][3090/11272] Time 0.894 (0.807) Data 0.001 (0.003) Loss 1.8415 (2.0085) Prec@1 51.875 (48.046) Prec@5 81.250 (78.522) Epoch: [55][3100/11272] Time 0.891 (0.807) Data 0.002 (0.003) Loss 2.1579 (2.0086) Prec@1 43.750 (48.047) Prec@5 75.000 (78.518) Epoch: [55][3110/11272] Time 0.750 (0.807) Data 0.001 (0.003) Loss 2.1470 (2.0087) Prec@1 47.500 (48.047) Prec@5 76.250 (78.516) Epoch: [55][3120/11272] Time 0.738 (0.807) Data 0.002 (0.003) Loss 2.0082 (2.0086) Prec@1 50.625 (48.054) Prec@5 78.750 (78.522) Epoch: [55][3130/11272] Time 0.878 (0.807) Data 0.002 (0.003) Loss 2.2153 (2.0088) Prec@1 37.500 (48.050) Prec@5 78.125 (78.522) Epoch: [55][3140/11272] Time 0.862 (0.807) Data 0.002 (0.003) Loss 2.0648 (2.0089) Prec@1 49.375 (48.043) Prec@5 75.625 (78.521) Epoch: [55][3150/11272] Time 0.740 (0.807) Data 0.002 (0.003) Loss 2.1566 (2.0088) Prec@1 46.875 (48.044) Prec@5 76.250 (78.522) Epoch: [55][3160/11272] Time 0.750 (0.807) Data 0.002 (0.003) Loss 2.0871 (2.0090) Prec@1 43.750 (48.039) Prec@5 80.625 (78.523) Epoch: [55][3170/11272] Time 0.863 (0.807) Data 0.002 (0.003) Loss 1.9579 (2.0090) Prec@1 48.750 (48.044) Prec@5 76.875 (78.520) Epoch: [55][3180/11272] Time 0.838 (0.807) Data 0.001 (0.003) Loss 2.0952 (2.0090) Prec@1 46.875 (48.041) Prec@5 76.250 (78.519) Epoch: [55][3190/11272] Time 0.740 (0.807) Data 0.001 (0.003) Loss 2.0058 (2.0088) Prec@1 51.875 (48.048) Prec@5 79.375 (78.521) Epoch: [55][3200/11272] Time 0.726 (0.807) Data 0.001 (0.003) Loss 1.9896 (2.0090) Prec@1 48.750 (48.047) Prec@5 80.000 (78.521) Epoch: [55][3210/11272] Time 0.833 (0.807) Data 0.001 (0.003) Loss 1.9211 (2.0092) Prec@1 53.125 (48.046) Prec@5 77.500 (78.515) Epoch: [55][3220/11272] Time 0.840 (0.807) Data 0.002 (0.003) Loss 1.9632 (2.0092) Prec@1 41.250 (48.044) Prec@5 81.875 (78.515) Epoch: [55][3230/11272] Time 0.744 (0.807) Data 0.002 (0.003) Loss 2.0348 (2.0093) Prec@1 47.500 (48.041) Prec@5 77.500 (78.517) Epoch: [55][3240/11272] Time 0.857 (0.807) Data 0.002 (0.003) Loss 2.1274 (2.0091) Prec@1 50.000 (48.045) Prec@5 76.875 (78.520) Epoch: [55][3250/11272] Time 0.829 (0.807) Data 0.001 (0.003) Loss 1.8776 (2.0089) Prec@1 46.250 (48.052) Prec@5 83.750 (78.523) Epoch: [55][3260/11272] Time 0.748 (0.807) Data 0.002 (0.003) Loss 1.9442 (2.0091) Prec@1 52.500 (48.052) Prec@5 80.625 (78.520) Epoch: [55][3270/11272] Time 0.730 (0.807) Data 0.001 (0.003) Loss 1.9356 (2.0093) Prec@1 51.250 (48.051) Prec@5 79.375 (78.520) Epoch: [55][3280/11272] Time 0.838 (0.807) Data 0.002 (0.003) Loss 2.0386 (2.0091) Prec@1 51.250 (48.057) Prec@5 78.125 (78.521) Epoch: [55][3290/11272] Time 0.836 (0.807) Data 0.001 (0.003) Loss 2.1069 (2.0093) Prec@1 45.000 (48.053) Prec@5 76.250 (78.516) Epoch: [55][3300/11272] Time 0.753 (0.807) Data 0.002 (0.003) Loss 1.7421 (2.0091) Prec@1 55.625 (48.053) Prec@5 81.875 (78.523) Epoch: [55][3310/11272] Time 0.734 (0.807) Data 0.001 (0.003) Loss 1.9660 (2.0091) Prec@1 45.625 (48.048) Prec@5 82.500 (78.524) Epoch: [55][3320/11272] Time 0.839 (0.807) Data 0.001 (0.003) Loss 2.1725 (2.0093) Prec@1 40.000 (48.037) Prec@5 75.625 (78.522) Epoch: [55][3330/11272] Time 0.877 (0.807) Data 0.002 (0.003) Loss 2.1116 (2.0094) Prec@1 39.375 (48.035) Prec@5 78.125 (78.522) Epoch: [55][3340/11272] Time 0.743 (0.807) Data 0.002 (0.003) Loss 2.3309 (2.0095) Prec@1 40.625 (48.031) Prec@5 72.500 (78.518) Epoch: [55][3350/11272] Time 0.766 (0.807) Data 0.002 (0.003) Loss 2.2629 (2.0096) Prec@1 46.875 (48.032) Prec@5 73.125 (78.519) Epoch: [55][3360/11272] Time 0.840 (0.807) Data 0.002 (0.003) Loss 2.3539 (2.0099) Prec@1 41.875 (48.026) Prec@5 73.750 (78.513) Epoch: [55][3370/11272] Time 0.760 (0.807) Data 0.001 (0.003) Loss 2.0001 (2.0097) Prec@1 46.250 (48.029) Prec@5 76.875 (78.516) Epoch: [55][3380/11272] Time 0.756 (0.807) Data 0.002 (0.003) Loss 1.9493 (2.0095) Prec@1 48.125 (48.033) Prec@5 83.750 (78.521) Epoch: [55][3390/11272] Time 0.877 (0.807) Data 0.001 (0.003) Loss 2.0995 (2.0096) Prec@1 52.500 (48.035) Prec@5 76.250 (78.519) Epoch: [55][3400/11272] Time 0.882 (0.807) Data 0.002 (0.002) Loss 2.0841 (2.0096) Prec@1 47.500 (48.035) Prec@5 76.875 (78.519) Epoch: [55][3410/11272] Time 0.737 (0.807) Data 0.002 (0.002) Loss 1.9550 (2.0097) Prec@1 48.750 (48.035) Prec@5 77.500 (78.517) Epoch: [55][3420/11272] Time 0.785 (0.807) Data 0.001 (0.002) Loss 1.9701 (2.0097) Prec@1 51.875 (48.032) Prec@5 76.250 (78.516) Epoch: [55][3430/11272] Time 0.837 (0.807) Data 0.001 (0.002) Loss 2.2681 (2.0098) Prec@1 45.625 (48.031) Prec@5 76.250 (78.515) Epoch: [55][3440/11272] Time 0.844 (0.807) Data 0.001 (0.002) Loss 2.0450 (2.0100) Prec@1 46.875 (48.027) Prec@5 76.250 (78.511) Epoch: [55][3450/11272] Time 0.740 (0.807) Data 0.002 (0.002) Loss 2.0433 (2.0101) Prec@1 44.375 (48.029) Prec@5 78.750 (78.507) Epoch: [55][3460/11272] Time 0.713 (0.807) Data 0.002 (0.002) Loss 1.8569 (2.0102) Prec@1 51.250 (48.028) Prec@5 81.875 (78.505) Epoch: [55][3470/11272] Time 0.876 (0.807) Data 0.002 (0.002) Loss 1.9905 (2.0103) Prec@1 43.125 (48.028) Prec@5 83.750 (78.503) Epoch: [55][3480/11272] Time 0.810 (0.807) Data 0.001 (0.002) Loss 2.2359 (2.0104) Prec@1 51.875 (48.028) Prec@5 74.375 (78.505) Epoch: [55][3490/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.1046 (2.0104) Prec@1 48.750 (48.026) Prec@5 76.875 (78.502) Epoch: [55][3500/11272] Time 0.809 (0.807) Data 0.002 (0.002) Loss 1.8682 (2.0105) Prec@1 53.125 (48.024) Prec@5 79.375 (78.497) Epoch: [55][3510/11272] Time 0.818 (0.807) Data 0.001 (0.002) Loss 1.8457 (2.0103) Prec@1 51.875 (48.029) Prec@5 81.250 (78.498) Epoch: [55][3520/11272] Time 0.783 (0.807) Data 0.002 (0.002) Loss 1.8162 (2.0105) Prec@1 53.125 (48.030) Prec@5 83.125 (78.494) Epoch: [55][3530/11272] Time 0.782 (0.806) Data 0.002 (0.002) Loss 2.0439 (2.0104) Prec@1 51.250 (48.035) Prec@5 76.875 (78.494) Epoch: [55][3540/11272] Time 0.886 (0.806) Data 0.002 (0.002) Loss 1.9740 (2.0104) Prec@1 46.250 (48.036) Prec@5 85.000 (78.497) Epoch: [55][3550/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 2.1434 (2.0105) Prec@1 41.250 (48.035) Prec@5 78.125 (78.494) Epoch: [55][3560/11272] Time 0.713 (0.806) Data 0.001 (0.002) Loss 2.0550 (2.0106) Prec@1 48.125 (48.034) Prec@5 75.625 (78.491) Epoch: [55][3570/11272] Time 0.762 (0.806) Data 0.001 (0.002) Loss 1.6826 (2.0106) Prec@1 57.500 (48.033) Prec@5 83.750 (78.490) Epoch: [55][3580/11272] Time 0.829 (0.806) Data 0.001 (0.002) Loss 2.0040 (2.0105) Prec@1 45.625 (48.036) Prec@5 78.125 (78.490) Epoch: [55][3590/11272] Time 0.856 (0.806) Data 0.001 (0.002) Loss 1.8630 (2.0104) Prec@1 52.500 (48.042) Prec@5 80.625 (78.490) Epoch: [55][3600/11272] Time 0.790 (0.806) Data 0.002 (0.002) Loss 1.9438 (2.0106) Prec@1 51.250 (48.039) Prec@5 81.250 (78.484) Epoch: [55][3610/11272] Time 0.741 (0.806) Data 0.002 (0.002) Loss 2.0239 (2.0105) Prec@1 47.500 (48.041) Prec@5 80.000 (78.485) Epoch: [55][3620/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 1.9753 (2.0104) Prec@1 48.125 (48.046) Prec@5 75.625 (78.483) Epoch: [55][3630/11272] Time 0.747 (0.806) Data 0.003 (0.002) Loss 2.1180 (2.0103) Prec@1 47.500 (48.045) Prec@5 75.000 (78.485) Epoch: [55][3640/11272] Time 0.776 (0.806) Data 0.001 (0.002) Loss 2.0712 (2.0105) Prec@1 46.875 (48.043) Prec@5 74.375 (78.483) Epoch: [55][3650/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 1.8844 (2.0105) Prec@1 51.875 (48.045) Prec@5 78.750 (78.481) Epoch: [55][3660/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 1.9976 (2.0107) Prec@1 48.750 (48.040) Prec@5 81.250 (78.477) Epoch: [55][3670/11272] Time 0.749 (0.806) Data 0.002 (0.002) Loss 2.3033 (2.0107) Prec@1 44.375 (48.042) Prec@5 74.375 (78.473) Epoch: [55][3680/11272] Time 0.772 (0.806) Data 0.002 (0.002) Loss 2.1090 (2.0107) Prec@1 45.625 (48.040) Prec@5 76.250 (78.475) Epoch: [55][3690/11272] Time 0.846 (0.806) Data 0.002 (0.002) Loss 1.8493 (2.0108) Prec@1 49.375 (48.037) Prec@5 83.750 (78.472) Epoch: [55][3700/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.0595 (2.0107) Prec@1 46.875 (48.042) Prec@5 79.375 (78.472) Epoch: [55][3710/11272] Time 0.740 (0.806) Data 0.002 (0.002) Loss 2.1400 (2.0108) Prec@1 47.500 (48.041) Prec@5 73.125 (78.469) Epoch: [55][3720/11272] Time 0.744 (0.806) Data 0.002 (0.002) Loss 2.1669 (2.0110) Prec@1 45.625 (48.039) Prec@5 73.125 (78.464) Epoch: [55][3730/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 1.8794 (2.0112) Prec@1 49.375 (48.036) Prec@5 81.250 (78.466) Epoch: [55][3740/11272] Time 0.854 (0.806) Data 0.002 (0.002) Loss 2.1110 (2.0112) Prec@1 43.750 (48.036) Prec@5 74.375 (78.466) Epoch: [55][3750/11272] Time 0.735 (0.806) Data 0.001 (0.002) Loss 2.0196 (2.0114) Prec@1 47.500 (48.030) Prec@5 75.000 (78.463) Epoch: [55][3760/11272] Time 0.865 (0.806) Data 0.002 (0.002) Loss 1.9216 (2.0114) Prec@1 48.750 (48.032) Prec@5 83.125 (78.464) Epoch: [55][3770/11272] Time 0.861 (0.806) Data 0.002 (0.002) Loss 1.7836 (2.0115) Prec@1 51.250 (48.031) Prec@5 81.875 (78.464) Epoch: [55][3780/11272] Time 0.745 (0.806) Data 0.001 (0.002) Loss 2.0647 (2.0116) Prec@1 46.250 (48.027) Prec@5 78.750 (78.465) Epoch: [55][3790/11272] Time 0.764 (0.806) Data 0.002 (0.002) Loss 1.9784 (2.0116) Prec@1 46.250 (48.024) Prec@5 79.375 (78.463) Epoch: [55][3800/11272] Time 0.822 (0.806) Data 0.001 (0.002) Loss 2.0503 (2.0117) Prec@1 48.125 (48.019) Prec@5 76.875 (78.463) Epoch: [55][3810/11272] Time 0.821 (0.806) Data 0.001 (0.002) Loss 2.0955 (2.0121) Prec@1 43.750 (48.011) Prec@5 77.500 (78.455) Epoch: [55][3820/11272] Time 0.728 (0.806) Data 0.002 (0.002) Loss 2.0175 (2.0122) Prec@1 47.500 (48.008) Prec@5 76.875 (78.454) Epoch: [55][3830/11272] Time 0.747 (0.806) Data 0.002 (0.002) Loss 2.2666 (2.0125) Prec@1 38.750 (48.003) Prec@5 73.125 (78.446) Epoch: [55][3840/11272] Time 0.853 (0.806) Data 0.002 (0.002) Loss 2.0077 (2.0125) Prec@1 50.625 (48.004) Prec@5 78.125 (78.445) Epoch: [55][3850/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 2.1945 (2.0125) Prec@1 47.500 (48.005) Prec@5 74.375 (78.443) Epoch: [55][3860/11272] Time 0.758 (0.806) Data 0.002 (0.002) Loss 2.0870 (2.0124) Prec@1 45.625 (48.009) Prec@5 76.250 (78.444) Epoch: [55][3870/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 1.9703 (2.0125) Prec@1 50.000 (48.010) Prec@5 78.125 (78.440) Epoch: [55][3880/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 2.0615 (2.0127) Prec@1 45.625 (48.005) Prec@5 78.750 (78.438) Epoch: [55][3890/11272] Time 0.785 (0.806) Data 0.004 (0.002) Loss 2.1459 (2.0126) Prec@1 42.500 (48.004) Prec@5 76.250 (78.440) Epoch: [55][3900/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 1.9387 (2.0127) Prec@1 50.625 (48.003) Prec@5 78.125 (78.438) Epoch: [55][3910/11272] Time 0.835 (0.806) Data 0.002 (0.002) Loss 1.7976 (2.0125) Prec@1 53.125 (48.012) Prec@5 84.375 (78.442) Epoch: [55][3920/11272] Time 0.869 (0.806) Data 0.002 (0.002) Loss 1.6714 (2.0125) Prec@1 56.875 (48.008) Prec@5 83.125 (78.441) Epoch: [55][3930/11272] Time 0.764 (0.806) Data 0.002 (0.002) Loss 2.0904 (2.0126) Prec@1 48.125 (48.004) Prec@5 76.250 (78.438) Epoch: [55][3940/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.2193 (2.0127) Prec@1 41.250 (48.001) Prec@5 75.625 (78.435) Epoch: [55][3950/11272] Time 0.871 (0.806) Data 0.001 (0.002) Loss 1.9495 (2.0128) Prec@1 44.375 (47.996) Prec@5 76.250 (78.431) Epoch: [55][3960/11272] Time 0.855 (0.806) Data 0.002 (0.002) Loss 2.0927 (2.0128) Prec@1 46.875 (47.996) Prec@5 75.625 (78.431) Epoch: [55][3970/11272] Time 0.725 (0.806) Data 0.001 (0.002) Loss 1.8429 (2.0127) Prec@1 47.500 (47.995) Prec@5 86.875 (78.434) Epoch: [55][3980/11272] Time 0.733 (0.806) Data 0.001 (0.002) Loss 1.8967 (2.0127) Prec@1 50.000 (47.999) Prec@5 78.125 (78.433) Epoch: [55][3990/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 1.8210 (2.0126) Prec@1 56.250 (48.002) Prec@5 79.375 (78.437) Epoch: [55][4000/11272] Time 0.872 (0.806) Data 0.002 (0.002) Loss 2.2197 (2.0127) Prec@1 39.375 (47.996) Prec@5 74.375 (78.432) Epoch: [55][4010/11272] Time 0.750 (0.806) Data 0.002 (0.002) Loss 2.0847 (2.0128) Prec@1 43.750 (47.996) Prec@5 75.625 (78.430) Epoch: [55][4020/11272] Time 0.895 (0.806) Data 0.002 (0.002) Loss 1.9928 (2.0127) Prec@1 45.625 (48.001) Prec@5 80.000 (78.433) Epoch: [55][4030/11272] Time 0.838 (0.806) Data 0.001 (0.002) Loss 1.9704 (2.0127) Prec@1 50.625 (48.005) Prec@5 80.625 (78.434) Epoch: [55][4040/11272] Time 0.722 (0.806) Data 0.001 (0.002) Loss 2.0616 (2.0127) Prec@1 50.625 (48.007) Prec@5 74.375 (78.431) Epoch: [55][4050/11272] Time 0.769 (0.806) Data 0.002 (0.002) Loss 2.0128 (2.0128) Prec@1 48.125 (48.002) Prec@5 80.000 (78.429) Epoch: [55][4060/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 2.3317 (2.0131) Prec@1 46.250 (47.997) Prec@5 73.750 (78.424) Epoch: [55][4070/11272] Time 0.862 (0.806) Data 0.002 (0.002) Loss 2.1512 (2.0133) Prec@1 40.625 (47.994) Prec@5 76.250 (78.420) Epoch: [55][4080/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 1.8219 (2.0134) Prec@1 50.625 (47.991) Prec@5 80.625 (78.418) Epoch: [55][4090/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.0900 (2.0133) Prec@1 45.625 (47.995) Prec@5 79.375 (78.421) Epoch: [55][4100/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.2702 (2.0135) Prec@1 41.250 (47.991) Prec@5 72.500 (78.418) Epoch: [55][4110/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.0641 (2.0136) Prec@1 46.875 (47.992) Prec@5 79.375 (78.419) Epoch: [55][4120/11272] Time 0.709 (0.806) Data 0.001 (0.002) Loss 2.2316 (2.0138) Prec@1 41.875 (47.987) Prec@5 78.125 (78.415) Epoch: [55][4130/11272] Time 0.738 (0.806) Data 0.002 (0.002) Loss 1.9279 (2.0139) Prec@1 53.125 (47.989) Prec@5 79.375 (78.413) Epoch: [55][4140/11272] Time 0.848 (0.806) Data 0.002 (0.002) Loss 2.1365 (2.0137) Prec@1 41.875 (47.993) Prec@5 78.750 (78.418) Epoch: [55][4150/11272] Time 0.845 (0.806) Data 0.002 (0.002) Loss 1.8155 (2.0134) Prec@1 53.125 (47.996) Prec@5 82.500 (78.421) Epoch: [55][4160/11272] Time 0.762 (0.806) Data 0.001 (0.002) Loss 2.0700 (2.0134) Prec@1 48.125 (47.998) Prec@5 77.500 (78.422) Epoch: [55][4170/11272] Time 0.829 (0.806) Data 0.001 (0.002) Loss 2.1887 (2.0136) Prec@1 47.500 (47.995) Prec@5 76.875 (78.420) Epoch: [55][4180/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 2.2310 (2.0137) Prec@1 43.750 (47.991) Prec@5 73.750 (78.419) Epoch: [55][4190/11272] Time 0.745 (0.806) Data 0.002 (0.002) Loss 2.1384 (2.0137) Prec@1 45.625 (47.991) Prec@5 76.250 (78.417) Epoch: [55][4200/11272] Time 0.759 (0.806) Data 0.002 (0.002) Loss 2.0618 (2.0137) Prec@1 46.250 (47.991) Prec@5 76.250 (78.419) Epoch: [55][4210/11272] Time 0.858 (0.806) Data 0.002 (0.002) Loss 2.3666 (2.0137) Prec@1 44.375 (47.991) Prec@5 71.250 (78.414) Epoch: [55][4220/11272] Time 0.881 (0.806) Data 0.002 (0.002) Loss 1.7358 (2.0137) Prec@1 52.500 (47.992) Prec@5 85.000 (78.416) Epoch: [55][4230/11272] Time 0.730 (0.806) Data 0.002 (0.002) Loss 2.0607 (2.0139) Prec@1 50.625 (47.986) Prec@5 75.000 (78.411) Epoch: [55][4240/11272] Time 0.749 (0.806) Data 0.001 (0.002) Loss 2.1581 (2.0141) Prec@1 43.125 (47.981) Prec@5 76.250 (78.409) Epoch: [55][4250/11272] Time 0.838 (0.806) Data 0.002 (0.002) Loss 1.9596 (2.0140) Prec@1 54.375 (47.986) Prec@5 81.250 (78.412) Epoch: [55][4260/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 2.0434 (2.0139) Prec@1 46.875 (47.987) Prec@5 78.750 (78.414) Epoch: [55][4270/11272] Time 0.771 (0.806) Data 0.002 (0.002) Loss 1.8620 (2.0137) Prec@1 52.500 (47.989) Prec@5 81.250 (78.418) Epoch: [55][4280/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 1.8514 (2.0138) Prec@1 55.625 (47.990) Prec@5 81.250 (78.421) Epoch: [55][4290/11272] Time 0.863 (0.806) Data 0.002 (0.002) Loss 2.0175 (2.0138) Prec@1 47.500 (47.987) Prec@5 73.750 (78.417) Epoch: [55][4300/11272] Time 0.753 (0.806) Data 0.001 (0.002) Loss 2.0795 (2.0139) Prec@1 46.250 (47.987) Prec@5 75.625 (78.414) Epoch: [55][4310/11272] Time 0.739 (0.806) Data 0.002 (0.002) Loss 2.3471 (2.0139) Prec@1 43.750 (47.986) Prec@5 74.375 (78.415) Epoch: [55][4320/11272] Time 0.878 (0.806) Data 0.002 (0.002) Loss 1.9409 (2.0140) Prec@1 48.125 (47.985) Prec@5 76.250 (78.411) Epoch: [55][4330/11272] Time 0.831 (0.806) Data 0.001 (0.002) Loss 2.1472 (2.0142) Prec@1 48.750 (47.982) Prec@5 76.250 (78.408) Epoch: [55][4340/11272] Time 0.735 (0.806) Data 0.002 (0.002) Loss 2.0881 (2.0141) Prec@1 43.125 (47.982) Prec@5 73.750 (78.408) Epoch: [55][4350/11272] Time 0.734 (0.806) Data 0.002 (0.002) Loss 2.0611 (2.0140) Prec@1 40.000 (47.982) Prec@5 80.000 (78.410) Epoch: [55][4360/11272] Time 0.847 (0.806) Data 0.002 (0.002) Loss 1.7151 (2.0140) Prec@1 59.375 (47.987) Prec@5 84.375 (78.410) Epoch: [55][4370/11272] Time 0.851 (0.806) Data 0.002 (0.002) Loss 2.0850 (2.0141) Prec@1 45.000 (47.984) Prec@5 77.500 (78.408) Epoch: [55][4380/11272] Time 0.795 (0.805) Data 0.001 (0.002) Loss 1.9827 (2.0142) Prec@1 49.375 (47.982) Prec@5 78.750 (78.405) Epoch: [55][4390/11272] Time 0.732 (0.805) Data 0.002 (0.002) Loss 2.0879 (2.0142) Prec@1 51.250 (47.986) Prec@5 75.625 (78.403) Epoch: [55][4400/11272] Time 0.864 (0.805) Data 0.002 (0.002) Loss 2.0869 (2.0141) Prec@1 43.750 (47.991) Prec@5 73.750 (78.403) Epoch: [55][4410/11272] Time 0.832 (0.805) Data 0.001 (0.002) Loss 2.0642 (2.0140) Prec@1 50.000 (47.993) Prec@5 80.000 (78.404) Epoch: [55][4420/11272] Time 0.735 (0.805) Data 0.001 (0.002) Loss 1.8503 (2.0138) Prec@1 46.875 (47.996) Prec@5 81.875 (78.410) Epoch: [55][4430/11272] Time 0.907 (0.805) Data 0.002 (0.002) Loss 1.7150 (2.0138) Prec@1 54.375 (47.999) Prec@5 82.500 (78.411) Epoch: [55][4440/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 1.7491 (2.0136) Prec@1 53.125 (47.999) Prec@5 85.000 (78.413) Epoch: [55][4450/11272] Time 0.711 (0.805) Data 0.001 (0.002) Loss 1.8179 (2.0136) Prec@1 56.875 (48.004) Prec@5 81.250 (78.416) Epoch: [55][4460/11272] Time 0.761 (0.805) Data 0.002 (0.002) Loss 1.9200 (2.0134) Prec@1 53.125 (48.006) Prec@5 79.375 (78.416) Epoch: [55][4470/11272] Time 0.831 (0.805) Data 0.001 (0.002) Loss 2.0188 (2.0134) Prec@1 48.125 (48.006) Prec@5 79.375 (78.418) Epoch: [55][4480/11272] Time 0.863 (0.805) Data 0.002 (0.002) Loss 2.0127 (2.0135) Prec@1 51.250 (48.004) Prec@5 76.875 (78.415) Epoch: [55][4490/11272] Time 0.741 (0.805) Data 0.002 (0.002) Loss 2.2522 (2.0134) Prec@1 43.125 (48.005) Prec@5 70.000 (78.416) Epoch: [55][4500/11272] Time 0.778 (0.805) Data 0.002 (0.002) Loss 2.1389 (2.0135) Prec@1 49.375 (48.004) Prec@5 78.750 (78.416) Epoch: [55][4510/11272] Time 0.843 (0.805) Data 0.001 (0.002) Loss 1.9977 (2.0134) Prec@1 51.250 (48.003) Prec@5 77.500 (78.418) Epoch: [55][4520/11272] Time 0.859 (0.805) Data 0.002 (0.002) Loss 2.1011 (2.0133) Prec@1 45.000 (48.008) Prec@5 77.500 (78.419) Epoch: [55][4530/11272] Time 0.743 (0.805) Data 0.002 (0.002) Loss 2.1621 (2.0132) Prec@1 45.000 (48.006) Prec@5 76.250 (78.424) Epoch: [55][4540/11272] Time 0.712 (0.805) Data 0.001 (0.002) Loss 2.2077 (2.0134) Prec@1 42.500 (48.004) Prec@5 76.875 (78.421) Epoch: [55][4550/11272] Time 0.851 (0.805) Data 0.002 (0.002) Loss 2.1459 (2.0135) Prec@1 45.000 (47.999) Prec@5 76.250 (78.420) Epoch: [55][4560/11272] Time 0.784 (0.805) Data 0.003 (0.002) Loss 2.0749 (2.0136) Prec@1 52.500 (47.997) Prec@5 78.750 (78.418) Epoch: [55][4570/11272] Time 0.740 (0.805) Data 0.002 (0.002) Loss 2.1319 (2.0136) Prec@1 46.250 (47.994) Prec@5 77.500 (78.418) Epoch: [55][4580/11272] Time 0.833 (0.805) Data 0.002 (0.002) Loss 1.8740 (2.0136) Prec@1 51.875 (47.995) Prec@5 80.000 (78.417) Epoch: [55][4590/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.0963 (2.0136) Prec@1 43.125 (47.998) Prec@5 73.750 (78.419) Epoch: [55][4600/11272] Time 0.774 (0.805) Data 0.002 (0.002) Loss 2.1206 (2.0135) Prec@1 49.375 (47.999) Prec@5 77.500 (78.421) Epoch: [55][4610/11272] Time 0.767 (0.805) Data 0.002 (0.002) Loss 1.8827 (2.0134) Prec@1 51.875 (48.003) Prec@5 82.500 (78.422) Epoch: [55][4620/11272] Time 0.846 (0.805) Data 0.002 (0.002) Loss 2.0862 (2.0135) Prec@1 48.125 (48.003) Prec@5 76.875 (78.418) Epoch: [55][4630/11272] Time 0.842 (0.805) Data 0.001 (0.002) Loss 2.1366 (2.0135) Prec@1 45.625 (48.004) Prec@5 78.750 (78.420) Epoch: [55][4640/11272] Time 0.727 (0.805) Data 0.002 (0.002) Loss 1.8470 (2.0133) Prec@1 48.125 (48.008) Prec@5 81.250 (78.424) Epoch: [55][4650/11272] Time 0.748 (0.805) Data 0.001 (0.002) Loss 2.2102 (2.0133) Prec@1 41.875 (48.006) Prec@5 75.000 (78.425) Epoch: [55][4660/11272] Time 0.841 (0.805) Data 0.002 (0.002) Loss 1.9833 (2.0134) Prec@1 46.250 (48.005) Prec@5 75.625 (78.424) Epoch: [55][4670/11272] Time 0.843 (0.805) Data 0.002 (0.002) Loss 1.8638 (2.0134) Prec@1 46.875 (48.001) Prec@5 80.000 (78.426) Epoch: [55][4680/11272] Time 0.742 (0.805) Data 0.002 (0.002) Loss 1.8402 (2.0132) Prec@1 53.125 (48.002) Prec@5 80.000 (78.430) Epoch: [55][4690/11272] Time 0.856 (0.805) Data 0.001 (0.002) Loss 1.9530 (2.0133) Prec@1 48.750 (47.999) Prec@5 80.000 (78.426) Epoch: [55][4700/11272] Time 0.883 (0.805) Data 0.002 (0.002) Loss 1.9519 (2.0133) Prec@1 49.375 (47.997) Prec@5 79.375 (78.425) Epoch: [55][4710/11272] Time 0.780 (0.805) Data 0.001 (0.002) Loss 2.3010 (2.0133) Prec@1 36.250 (47.997) Prec@5 74.375 (78.429) Epoch: [55][4720/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 2.2256 (2.0133) Prec@1 44.375 (47.993) Prec@5 74.375 (78.428) Epoch: [55][4730/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 2.0053 (2.0132) Prec@1 45.000 (47.994) Prec@5 78.750 (78.430) Epoch: [55][4740/11272] Time 0.840 (0.805) Data 0.001 (0.002) Loss 1.8846 (2.0131) Prec@1 51.250 (47.999) Prec@5 78.750 (78.432) Epoch: [55][4750/11272] Time 0.732 (0.805) Data 0.002 (0.002) Loss 1.9171 (2.0131) Prec@1 53.125 (48.000) Prec@5 81.250 (78.433) Epoch: [55][4760/11272] Time 0.756 (0.805) Data 0.002 (0.002) Loss 1.9318 (2.0132) Prec@1 57.500 (48.001) Prec@5 77.500 (78.433) Epoch: [55][4770/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 2.0008 (2.0131) Prec@1 47.500 (48.004) Prec@5 79.375 (78.433) Epoch: [55][4780/11272] Time 0.874 (0.805) Data 0.002 (0.002) Loss 2.1227 (2.0132) Prec@1 41.875 (48.003) Prec@5 77.500 (78.432) Epoch: [55][4790/11272] Time 0.745 (0.805) Data 0.002 (0.002) Loss 2.1958 (2.0131) Prec@1 45.000 (48.006) Prec@5 76.875 (78.433) Epoch: [55][4800/11272] Time 0.757 (0.805) Data 0.002 (0.002) Loss 2.2568 (2.0132) Prec@1 40.000 (48.006) Prec@5 71.875 (78.431) Epoch: [55][4810/11272] Time 0.902 (0.805) Data 0.003 (0.002) Loss 2.0809 (2.0133) Prec@1 47.500 (48.003) Prec@5 76.875 (78.431) Epoch: [55][4820/11272] Time 0.767 (0.805) Data 0.003 (0.002) Loss 1.9451 (2.0134) Prec@1 47.500 (48.002) Prec@5 81.250 (78.430) Epoch: [55][4830/11272] Time 0.751 (0.805) Data 0.002 (0.002) Loss 2.0272 (2.0134) Prec@1 45.625 (48.002) Prec@5 82.500 (78.429) Epoch: [55][4840/11272] Time 0.850 (0.805) Data 0.001 (0.002) Loss 1.9300 (2.0135) Prec@1 50.625 (48.001) Prec@5 79.375 (78.426) Epoch: [55][4850/11272] Time 0.854 (0.805) Data 0.002 (0.002) Loss 1.9514 (2.0136) Prec@1 53.125 (47.998) Prec@5 80.000 (78.425) Epoch: [55][4860/11272] Time 0.761 (0.805) Data 0.001 (0.002) Loss 2.1141 (2.0135) Prec@1 43.750 (47.999) Prec@5 76.875 (78.427) Epoch: [55][4870/11272] Time 0.821 (0.805) Data 0.004 (0.002) Loss 1.8932 (2.0134) Prec@1 50.000 (48.004) Prec@5 79.375 (78.431) Epoch: [55][4880/11272] Time 0.888 (0.805) Data 0.002 (0.002) Loss 2.0018 (2.0135) Prec@1 48.750 (48.000) Prec@5 78.125 (78.428) Epoch: [55][4890/11272] Time 0.864 (0.805) Data 0.002 (0.002) Loss 2.0438 (2.0134) Prec@1 44.375 (47.998) Prec@5 78.125 (78.431) Epoch: [55][4900/11272] Time 0.753 (0.805) Data 0.002 (0.002) Loss 2.1157 (2.0134) Prec@1 40.625 (47.998) Prec@5 77.500 (78.429) Epoch: [55][4910/11272] Time 0.756 (0.805) Data 0.001 (0.002) Loss 2.0584 (2.0135) Prec@1 45.625 (47.994) Prec@5 77.500 (78.427) Epoch: [55][4920/11272] Time 0.868 (0.805) Data 0.002 (0.002) Loss 2.0686 (2.0136) Prec@1 46.875 (47.994) Prec@5 78.125 (78.425) Epoch: [55][4930/11272] Time 0.839 (0.805) Data 0.001 (0.002) Loss 2.0848 (2.0138) Prec@1 44.375 (47.992) Prec@5 74.375 (78.420) Epoch: [55][4940/11272] Time 0.756 (0.805) Data 0.002 (0.002) Loss 2.2278 (2.0139) Prec@1 45.000 (47.991) Prec@5 75.000 (78.418) Epoch: [55][4950/11272] Time 0.952 (0.805) Data 0.002 (0.002) Loss 2.1529 (2.0140) Prec@1 43.125 (47.992) Prec@5 76.250 (78.418) Epoch: [55][4960/11272] Time 0.845 (0.805) Data 0.002 (0.002) Loss 2.1285 (2.0141) Prec@1 47.500 (47.990) Prec@5 76.875 (78.416) Epoch: [55][4970/11272] Time 0.741 (0.806) Data 0.001 (0.002) Loss 2.0748 (2.0141) Prec@1 46.250 (47.989) Prec@5 73.750 (78.416) Epoch: [55][4980/11272] Time 0.754 (0.806) Data 0.002 (0.002) Loss 2.0533 (2.0141) Prec@1 48.125 (47.988) Prec@5 77.500 (78.419) Epoch: [55][4990/11272] Time 0.890 (0.806) Data 0.002 (0.002) Loss 1.8502 (2.0140) Prec@1 50.625 (47.991) Prec@5 83.125 (78.421) Epoch: [55][5000/11272] Time 0.859 (0.806) Data 0.002 (0.002) Loss 1.9655 (2.0141) Prec@1 48.750 (47.990) Prec@5 78.125 (78.418) Epoch: [55][5010/11272] Time 0.748 (0.806) Data 0.002 (0.002) Loss 2.0986 (2.0141) Prec@1 44.375 (47.992) Prec@5 77.500 (78.418) Epoch: [55][5020/11272] Time 0.746 (0.806) Data 0.002 (0.002) Loss 2.2326 (2.0142) Prec@1 38.750 (47.989) Prec@5 76.250 (78.415) Epoch: [55][5030/11272] Time 0.912 (0.806) Data 0.002 (0.002) Loss 1.8702 (2.0142) Prec@1 51.250 (47.989) Prec@5 80.625 (78.415) Epoch: [55][5040/11272] Time 0.867 (0.806) Data 0.002 (0.002) Loss 2.1561 (2.0142) Prec@1 41.875 (47.989) Prec@5 76.250 (78.415) Epoch: [55][5050/11272] Time 0.756 (0.806) Data 0.001 (0.002) Loss 1.9856 (2.0142) Prec@1 49.375 (47.990) Prec@5 81.875 (78.414) Epoch: [55][5060/11272] Time 0.742 (0.806) Data 0.001 (0.002) Loss 1.9329 (2.0142) Prec@1 50.000 (47.992) Prec@5 78.125 (78.416) Epoch: [55][5070/11272] Time 0.868 (0.806) Data 0.002 (0.002) Loss 1.8873 (2.0140) Prec@1 45.000 (47.993) Prec@5 81.250 (78.417) Epoch: [55][5080/11272] Time 0.858 (0.806) Data 0.001 (0.002) Loss 1.9816 (2.0139) Prec@1 51.250 (47.997) Prec@5 75.625 (78.417) Epoch: [55][5090/11272] Time 0.754 (0.806) Data 0.002 (0.002) Loss 2.1400 (2.0139) Prec@1 43.750 (47.994) Prec@5 76.875 (78.417) Epoch: [55][5100/11272] Time 0.852 (0.806) Data 0.002 (0.002) Loss 2.0755 (2.0139) Prec@1 46.875 (47.995) Prec@5 76.875 (78.417) Epoch: [55][5110/11272] Time 0.836 (0.806) Data 0.001 (0.002) Loss 2.1173 (2.0139) Prec@1 51.250 (47.994) Prec@5 73.125 (78.419) Epoch: [55][5120/11272] Time 0.732 (0.806) Data 0.002 (0.002) Loss 2.2618 (2.0139) Prec@1 40.625 (47.992) Prec@5 76.250 (78.417) Epoch: [55][5130/11272] Time 0.793 (0.806) Data 0.002 (0.002) Loss 1.9079 (2.0140) Prec@1 50.625 (47.991) Prec@5 82.500 (78.418) Epoch: [55][5140/11272] Time 0.916 (0.806) Data 0.002 (0.002) Loss 1.8487 (2.0140) Prec@1 53.125 (47.990) Prec@5 79.375 (78.418) Epoch: [55][5150/11272] Time 0.903 (0.806) Data 0.002 (0.002) Loss 2.1779 (2.0142) Prec@1 43.125 (47.986) Prec@5 76.250 (78.414) Epoch: [55][5160/11272] Time 0.755 (0.806) Data 0.002 (0.002) Loss 1.9659 (2.0142) Prec@1 46.250 (47.983) Prec@5 82.500 (78.415) Epoch: [55][5170/11272] Time 0.763 (0.806) Data 0.002 (0.002) Loss 2.0406 (2.0144) Prec@1 50.625 (47.979) Prec@5 80.000 (78.411) Epoch: [55][5180/11272] Time 0.891 (0.806) Data 0.003 (0.002) Loss 1.9716 (2.0143) Prec@1 51.875 (47.979) Prec@5 75.625 (78.412) Epoch: [55][5190/11272] Time 0.915 (0.806) Data 0.001 (0.002) Loss 1.8761 (2.0143) Prec@1 50.000 (47.982) Prec@5 78.125 (78.410) Epoch: [55][5200/11272] Time 0.789 (0.806) Data 0.001 (0.002) Loss 2.0123 (2.0143) Prec@1 51.875 (47.984) Prec@5 80.625 (78.412) Epoch: [55][5210/11272] Time 0.776 (0.806) Data 0.001 (0.002) Loss 1.9402 (2.0142) Prec@1 50.000 (47.980) Prec@5 80.000 (78.413) Epoch: [55][5220/11272] Time 0.918 (0.806) Data 0.002 (0.002) Loss 1.7838 (2.0141) Prec@1 51.875 (47.981) Prec@5 81.875 (78.416) Epoch: [55][5230/11272] Time 0.801 (0.806) Data 0.002 (0.002) Loss 2.2624 (2.0142) Prec@1 38.750 (47.979) Prec@5 76.250 (78.417) Epoch: [55][5240/11272] Time 0.784 (0.806) Data 0.001 (0.002) Loss 2.0236 (2.0142) Prec@1 48.125 (47.978) Prec@5 79.375 (78.419) Epoch: [55][5250/11272] Time 0.900 (0.806) Data 0.002 (0.002) Loss 1.9660 (2.0142) Prec@1 56.875 (47.979) Prec@5 79.375 (78.419) Epoch: [55][5260/11272] Time 0.860 (0.806) Data 0.002 (0.002) Loss 1.9506 (2.0139) Prec@1 48.750 (47.985) Prec@5 76.875 (78.421) Epoch: [55][5270/11272] Time 0.753 (0.806) Data 0.002 (0.002) Loss 2.1257 (2.0140) Prec@1 49.375 (47.984) Prec@5 71.250 (78.418) Epoch: [55][5280/11272] Time 0.742 (0.806) Data 0.002 (0.002) Loss 1.9842 (2.0141) Prec@1 46.875 (47.984) Prec@5 81.250 (78.419) Epoch: [55][5290/11272] Time 0.910 (0.807) Data 0.003 (0.002) Loss 1.8673 (2.0140) Prec@1 53.750 (47.986) Prec@5 82.500 (78.419) Epoch: [55][5300/11272] Time 0.857 (0.806) Data 0.002 (0.002) Loss 2.0456 (2.0141) Prec@1 46.250 (47.987) Prec@5 76.250 (78.417) Epoch: [55][5310/11272] Time 0.750 (0.807) Data 0.002 (0.002) Loss 2.0915 (2.0142) Prec@1 48.125 (47.985) Prec@5 77.500 (78.414) Epoch: [55][5320/11272] Time 0.784 (0.807) Data 0.002 (0.002) Loss 2.0627 (2.0143) Prec@1 46.250 (47.982) Prec@5 77.500 (78.411) Epoch: [55][5330/11272] Time 0.891 (0.807) Data 0.002 (0.002) Loss 1.8461 (2.0143) Prec@1 54.375 (47.986) Prec@5 81.875 (78.413) Epoch: [55][5340/11272] Time 0.908 (0.807) Data 0.002 (0.002) Loss 2.1634 (2.0142) Prec@1 44.375 (47.986) Prec@5 75.625 (78.413) Epoch: [55][5350/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1619 (2.0144) Prec@1 45.000 (47.982) Prec@5 76.875 (78.410) Epoch: [55][5360/11272] Time 0.858 (0.807) Data 0.002 (0.002) Loss 2.0801 (2.0145) Prec@1 41.250 (47.977) Prec@5 76.875 (78.406) Epoch: [55][5370/11272] Time 0.863 (0.807) Data 0.002 (0.002) Loss 2.0915 (2.0145) Prec@1 41.875 (47.974) Prec@5 76.875 (78.404) Epoch: [55][5380/11272] Time 0.786 (0.807) Data 0.002 (0.002) Loss 2.1532 (2.0146) Prec@1 43.125 (47.974) Prec@5 76.875 (78.402) Epoch: [55][5390/11272] Time 0.782 (0.807) Data 0.002 (0.002) Loss 2.1726 (2.0146) Prec@1 43.750 (47.973) Prec@5 78.125 (78.401) Epoch: [55][5400/11272] Time 0.914 (0.807) Data 0.002 (0.002) Loss 2.0926 (2.0147) Prec@1 47.500 (47.971) Prec@5 74.375 (78.397) Epoch: [55][5410/11272] Time 0.854 (0.807) Data 0.002 (0.002) Loss 1.8894 (2.0147) Prec@1 48.125 (47.972) Prec@5 83.750 (78.399) Epoch: [55][5420/11272] Time 0.774 (0.807) Data 0.002 (0.002) Loss 1.8079 (2.0147) Prec@1 58.750 (47.974) Prec@5 83.750 (78.401) Epoch: [55][5430/11272] Time 0.769 (0.807) Data 0.002 (0.002) Loss 2.0631 (2.0146) Prec@1 49.375 (47.977) Prec@5 76.875 (78.404) Epoch: [55][5440/11272] Time 0.861 (0.807) Data 0.001 (0.002) Loss 2.3156 (2.0147) Prec@1 43.125 (47.977) Prec@5 72.500 (78.400) Epoch: [55][5450/11272] Time 0.869 (0.807) Data 0.001 (0.002) Loss 1.9421 (2.0145) Prec@1 45.625 (47.981) Prec@5 80.000 (78.402) Epoch: [55][5460/11272] Time 0.756 (0.807) Data 0.002 (0.002) Loss 2.1635 (2.0146) Prec@1 44.375 (47.980) Prec@5 75.625 (78.400) Epoch: [55][5470/11272] Time 0.792 (0.807) Data 0.002 (0.002) Loss 2.0468 (2.0146) Prec@1 40.625 (47.979) Prec@5 78.125 (78.402) Epoch: [55][5480/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 1.9898 (2.0145) Prec@1 45.000 (47.980) Prec@5 80.000 (78.403) Epoch: [55][5490/11272] Time 0.731 (0.807) Data 0.003 (0.002) Loss 2.0407 (2.0145) Prec@1 49.375 (47.981) Prec@5 75.625 (78.403) Epoch: [55][5500/11272] Time 0.736 (0.807) Data 0.003 (0.002) Loss 2.0417 (2.0146) Prec@1 46.250 (47.981) Prec@5 78.750 (78.403) Epoch: [55][5510/11272] Time 0.933 (0.807) Data 0.002 (0.002) Loss 1.9030 (2.0145) Prec@1 50.000 (47.983) Prec@5 83.125 (78.404) Epoch: [55][5520/11272] Time 0.881 (0.807) Data 0.002 (0.002) Loss 2.0589 (2.0146) Prec@1 50.625 (47.983) Prec@5 75.000 (78.403) Epoch: [55][5530/11272] Time 0.766 (0.807) Data 0.002 (0.002) Loss 1.8089 (2.0146) Prec@1 54.375 (47.984) Prec@5 82.500 (78.404) Epoch: [55][5540/11272] Time 0.740 (0.807) Data 0.001 (0.002) Loss 1.9690 (2.0146) Prec@1 48.125 (47.984) Prec@5 78.125 (78.404) Epoch: [55][5550/11272] Time 0.852 (0.807) Data 0.001 (0.002) Loss 1.9267 (2.0147) Prec@1 50.000 (47.982) Prec@5 80.000 (78.402) Epoch: [55][5560/11272] Time 0.961 (0.807) Data 0.002 (0.002) Loss 1.9548 (2.0147) Prec@1 44.375 (47.981) Prec@5 78.750 (78.402) Epoch: [55][5570/11272] Time 0.748 (0.807) Data 0.002 (0.002) Loss 2.1472 (2.0148) Prec@1 49.375 (47.980) Prec@5 75.000 (78.400) Epoch: [55][5580/11272] Time 0.727 (0.807) Data 0.001 (0.002) Loss 2.0850 (2.0150) Prec@1 46.875 (47.975) Prec@5 79.375 (78.401) Epoch: [55][5590/11272] Time 0.880 (0.807) Data 0.002 (0.002) Loss 2.1957 (2.0150) Prec@1 46.875 (47.974) Prec@5 75.625 (78.400) Epoch: [55][5600/11272] Time 0.874 (0.807) Data 0.002 (0.002) Loss 2.0150 (2.0150) Prec@1 50.625 (47.972) Prec@5 75.625 (78.398) Epoch: [55][5610/11272] Time 0.779 (0.807) Data 0.002 (0.002) Loss 2.0768 (2.0150) Prec@1 48.125 (47.972) Prec@5 78.125 (78.397) Epoch: [55][5620/11272] Time 0.863 (0.807) Data 0.001 (0.002) Loss 2.0262 (2.0149) Prec@1 46.250 (47.972) Prec@5 80.625 (78.398) Epoch: [55][5630/11272] Time 0.866 (0.807) Data 0.002 (0.002) Loss 2.1885 (2.0150) Prec@1 45.625 (47.970) Prec@5 75.625 (78.396) Epoch: [55][5640/11272] Time 0.738 (0.807) Data 0.001 (0.002) Loss 1.9160 (2.0150) Prec@1 48.750 (47.972) Prec@5 78.750 (78.398) Epoch: [55][5650/11272] Time 0.764 (0.807) Data 0.002 (0.002) Loss 2.1113 (2.0150) Prec@1 41.875 (47.971) Prec@5 78.750 (78.397) Epoch: [55][5660/11272] Time 0.872 (0.807) Data 0.002 (0.002) Loss 2.2340 (2.0151) Prec@1 41.250 (47.971) Prec@5 74.375 (78.396) Epoch: [55][5670/11272] Time 0.846 (0.807) Data 0.002 (0.002) Loss 2.1731 (2.0150) Prec@1 43.750 (47.970) Prec@5 75.625 (78.399) Epoch: [55][5680/11272] Time 0.752 (0.807) Data 0.002 (0.002) Loss 2.1118 (2.0152) Prec@1 43.125 (47.965) Prec@5 76.250 (78.395) Epoch: [55][5690/11272] Time 0.737 (0.807) Data 0.001 (0.002) Loss 1.9837 (2.0150) Prec@1 50.625 (47.966) Prec@5 81.875 (78.396) Epoch: [55][5700/11272] Time 0.846 (0.808) Data 0.002 (0.002) Loss 2.1492 (2.0151) Prec@1 45.000 (47.963) Prec@5 73.125 (78.394) Epoch: [55][5710/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 2.1396 (2.0152) Prec@1 48.750 (47.961) Prec@5 75.000 (78.392) Epoch: [55][5720/11272] Time 0.732 (0.808) Data 0.002 (0.002) Loss 2.0173 (2.0152) Prec@1 47.500 (47.960) Prec@5 78.125 (78.392) Epoch: [55][5730/11272] Time 0.822 (0.808) Data 0.002 (0.002) Loss 1.8344 (2.0152) Prec@1 52.500 (47.962) Prec@5 80.625 (78.395) Epoch: [55][5740/11272] Time 0.842 (0.808) Data 0.001 (0.002) Loss 2.2591 (2.0153) Prec@1 40.625 (47.958) Prec@5 73.750 (78.392) Epoch: [55][5750/11272] Time 0.736 (0.808) Data 0.004 (0.002) Loss 1.8516 (2.0150) Prec@1 54.375 (47.963) Prec@5 75.625 (78.394) Epoch: [55][5760/11272] Time 0.806 (0.808) Data 0.002 (0.002) Loss 1.6962 (2.0150) Prec@1 51.875 (47.964) Prec@5 83.750 (78.394) Epoch: [55][5770/11272] Time 0.878 (0.808) Data 0.002 (0.002) Loss 2.1000 (2.0150) Prec@1 48.125 (47.966) Prec@5 74.375 (78.395) Epoch: [55][5780/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 1.8323 (2.0150) Prec@1 51.875 (47.968) Prec@5 83.750 (78.396) Epoch: [55][5790/11272] Time 0.741 (0.808) Data 0.001 (0.002) Loss 2.2630 (2.0152) Prec@1 45.000 (47.964) Prec@5 73.750 (78.392) Epoch: [55][5800/11272] Time 0.763 (0.808) Data 0.001 (0.002) Loss 2.1073 (2.0155) Prec@1 41.250 (47.959) Prec@5 75.625 (78.386) Epoch: [55][5810/11272] Time 0.834 (0.808) Data 0.001 (0.002) Loss 2.1305 (2.0154) Prec@1 43.750 (47.960) Prec@5 75.000 (78.386) Epoch: [55][5820/11272] Time 0.894 (0.808) Data 0.002 (0.002) Loss 1.9551 (2.0154) Prec@1 51.875 (47.959) Prec@5 76.875 (78.386) Epoch: [55][5830/11272] Time 0.753 (0.808) Data 0.002 (0.002) Loss 1.9970 (2.0153) Prec@1 50.625 (47.960) Prec@5 82.500 (78.389) Epoch: [55][5840/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 1.9545 (2.0153) Prec@1 45.625 (47.958) Prec@5 80.000 (78.388) Epoch: [55][5850/11272] Time 0.876 (0.808) Data 0.002 (0.002) Loss 2.0591 (2.0154) Prec@1 48.750 (47.958) Prec@5 76.250 (78.386) Epoch: [55][5860/11272] Time 0.839 (0.808) Data 0.001 (0.002) Loss 1.9063 (2.0156) Prec@1 53.125 (47.955) Prec@5 83.125 (78.384) Epoch: [55][5870/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.1862 (2.0157) Prec@1 41.250 (47.951) Prec@5 77.500 (78.385) Epoch: [55][5880/11272] Time 0.908 (0.808) Data 0.002 (0.002) Loss 1.7435 (2.0156) Prec@1 53.750 (47.952) Prec@5 82.500 (78.386) Epoch: [55][5890/11272] Time 0.899 (0.808) Data 0.002 (0.002) Loss 1.7563 (2.0156) Prec@1 51.250 (47.948) Prec@5 84.375 (78.385) Epoch: [55][5900/11272] Time 0.769 (0.808) Data 0.002 (0.002) Loss 2.0983 (2.0159) Prec@1 46.250 (47.942) Prec@5 75.000 (78.383) Epoch: [55][5910/11272] Time 0.746 (0.808) Data 0.002 (0.002) Loss 1.6684 (2.0158) Prec@1 56.250 (47.945) Prec@5 85.625 (78.385) Epoch: [55][5920/11272] Time 0.892 (0.808) Data 0.003 (0.002) Loss 2.0067 (2.0157) Prec@1 40.000 (47.943) Prec@5 80.625 (78.385) Epoch: [55][5930/11272] Time 0.860 (0.808) Data 0.002 (0.002) Loss 1.9575 (2.0159) Prec@1 55.000 (47.941) Prec@5 80.625 (78.382) Epoch: [55][5940/11272] Time 0.771 (0.808) Data 0.002 (0.002) Loss 2.1287 (2.0159) Prec@1 47.500 (47.940) Prec@5 80.000 (78.382) Epoch: [55][5950/11272] Time 0.742 (0.808) Data 0.002 (0.002) Loss 1.8737 (2.0159) Prec@1 52.500 (47.941) Prec@5 81.250 (78.382) Epoch: [55][5960/11272] Time 0.913 (0.808) Data 0.002 (0.002) Loss 2.0507 (2.0160) Prec@1 48.750 (47.938) Prec@5 76.875 (78.379) Epoch: [55][5970/11272] Time 0.856 (0.808) Data 0.002 (0.002) Loss 1.8118 (2.0159) Prec@1 51.250 (47.937) Prec@5 82.500 (78.381) Epoch: [55][5980/11272] Time 0.777 (0.808) Data 0.001 (0.002) Loss 2.2007 (2.0159) Prec@1 45.625 (47.938) Prec@5 75.000 (78.382) Epoch: [55][5990/11272] Time 0.770 (0.808) Data 0.002 (0.002) Loss 2.2229 (2.0159) Prec@1 45.000 (47.940) Prec@5 78.125 (78.382) Epoch: [55][6000/11272] Time 0.838 (0.808) Data 0.001 (0.002) Loss 2.0792 (2.0160) Prec@1 49.375 (47.939) Prec@5 75.000 (78.381) Epoch: [55][6010/11272] Time 0.879 (0.808) Data 0.002 (0.002) Loss 1.9208 (2.0160) Prec@1 53.125 (47.941) Prec@5 79.375 (78.380) Epoch: [55][6020/11272] Time 0.785 (0.808) Data 0.002 (0.002) Loss 2.1304 (2.0159) Prec@1 45.000 (47.941) Prec@5 75.625 (78.380) Epoch: [55][6030/11272] Time 0.864 (0.808) Data 0.002 (0.002) Loss 1.8942 (2.0159) Prec@1 50.625 (47.943) Prec@5 81.875 (78.380) Epoch: [55][6040/11272] Time 0.872 (0.808) Data 0.002 (0.002) Loss 2.1732 (2.0160) Prec@1 44.375 (47.940) Prec@5 75.625 (78.379) Epoch: [55][6050/11272] Time 0.838 (0.808) Data 0.002 (0.002) Loss 1.9714 (2.0159) Prec@1 48.125 (47.940) Prec@5 78.750 (78.379) Epoch: [55][6060/11272] Time 0.747 (0.808) Data 0.002 (0.002) Loss 2.1433 (2.0160) Prec@1 43.125 (47.939) Prec@5 78.125 (78.379) Epoch: [55][6070/11272] Time 0.877 (0.809) Data 0.001 (0.002) Loss 1.9935 (2.0160) Prec@1 46.250 (47.936) Prec@5 80.000 (78.379) Epoch: [55][6080/11272] Time 0.839 (0.809) Data 0.001 (0.002) Loss 1.8741 (2.0160) Prec@1 51.875 (47.937) Prec@5 81.250 (78.375) Epoch: [55][6090/11272] Time 0.762 (0.809) Data 0.002 (0.002) Loss 2.0557 (2.0161) Prec@1 43.125 (47.936) Prec@5 80.000 (78.376) Epoch: [55][6100/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 2.0469 (2.0162) Prec@1 48.125 (47.932) Prec@5 75.000 (78.374) Epoch: [55][6110/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 1.9095 (2.0161) Prec@1 47.500 (47.934) Prec@5 80.625 (78.374) Epoch: [55][6120/11272] Time 0.887 (0.809) Data 0.002 (0.002) Loss 2.0276 (2.0162) Prec@1 46.875 (47.933) Prec@5 81.250 (78.373) Epoch: [55][6130/11272] Time 0.783 (0.809) Data 0.002 (0.002) Loss 1.8744 (2.0162) Prec@1 52.500 (47.935) Prec@5 78.750 (78.375) Epoch: [55][6140/11272] Time 0.759 (0.809) Data 0.002 (0.002) Loss 2.1506 (2.0162) Prec@1 43.750 (47.935) Prec@5 73.750 (78.375) Epoch: [55][6150/11272] Time 0.893 (0.809) Data 0.002 (0.002) Loss 2.1628 (2.0162) Prec@1 46.250 (47.933) Prec@5 75.625 (78.376) Epoch: [55][6160/11272] Time 0.723 (0.809) Data 0.001 (0.002) Loss 2.1674 (2.0163) Prec@1 44.375 (47.931) Prec@5 74.375 (78.375) Epoch: [55][6170/11272] Time 0.750 (0.809) Data 0.002 (0.002) Loss 2.0698 (2.0163) Prec@1 43.750 (47.929) Prec@5 76.250 (78.372) Epoch: [55][6180/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 2.1502 (2.0164) Prec@1 47.500 (47.925) Prec@5 80.000 (78.370) Epoch: [55][6190/11272] Time 0.880 (0.809) Data 0.002 (0.002) Loss 2.2533 (2.0165) Prec@1 43.750 (47.925) Prec@5 75.000 (78.370) Epoch: [55][6200/11272] Time 0.731 (0.809) Data 0.002 (0.002) Loss 1.9771 (2.0164) Prec@1 50.000 (47.925) Prec@5 75.000 (78.373) Epoch: [55][6210/11272] Time 0.761 (0.809) Data 0.002 (0.002) Loss 2.0630 (2.0165) Prec@1 46.250 (47.924) Prec@5 77.500 (78.372) Epoch: [55][6220/11272] Time 0.861 (0.809) Data 0.002 (0.002) Loss 2.0360 (2.0165) Prec@1 46.875 (47.922) Prec@5 76.875 (78.371) Epoch: [55][6230/11272] Time 0.908 (0.809) Data 0.002 (0.002) Loss 2.0591 (2.0164) Prec@1 42.500 (47.923) Prec@5 78.750 (78.372) Epoch: [55][6240/11272] Time 0.757 (0.809) Data 0.001 (0.002) Loss 2.0732 (2.0165) Prec@1 50.625 (47.922) Prec@5 76.875 (78.369) Epoch: [55][6250/11272] Time 0.762 (0.809) Data 0.002 (0.002) Loss 1.9464 (2.0166) Prec@1 45.000 (47.920) Prec@5 83.125 (78.370) Epoch: [55][6260/11272] Time 0.897 (0.809) Data 0.005 (0.002) Loss 1.8042 (2.0164) Prec@1 52.500 (47.924) Prec@5 82.500 (78.373) Epoch: [55][6270/11272] Time 0.839 (0.809) Data 0.002 (0.002) Loss 2.1548 (2.0165) Prec@1 45.625 (47.924) Prec@5 74.375 (78.372) Epoch: [55][6280/11272] Time 0.755 (0.809) Data 0.002 (0.002) Loss 2.0144 (2.0166) Prec@1 51.250 (47.923) Prec@5 74.375 (78.371) Epoch: [55][6290/11272] Time 0.919 (0.809) Data 0.002 (0.002) Loss 1.8735 (2.0165) Prec@1 51.875 (47.924) Prec@5 82.500 (78.371) Epoch: [55][6300/11272] Time 0.841 (0.809) Data 0.001 (0.002) Loss 2.0332 (2.0166) Prec@1 46.875 (47.923) Prec@5 77.500 (78.369) Epoch: [55][6310/11272] Time 0.745 (0.809) Data 0.002 (0.002) Loss 1.8092 (2.0165) Prec@1 54.375 (47.926) Prec@5 81.250 (78.370) Epoch: [55][6320/11272] Time 0.739 (0.809) Data 0.002 (0.002) Loss 1.9670 (2.0167) Prec@1 45.000 (47.920) Prec@5 79.375 (78.367) Epoch: [55][6330/11272] Time 0.832 (0.809) Data 0.002 (0.002) Loss 1.9659 (2.0166) Prec@1 49.375 (47.921) Prec@5 78.125 (78.367) Epoch: [55][6340/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.1158 (2.0167) Prec@1 47.500 (47.922) Prec@5 79.375 (78.367) Epoch: [55][6350/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.0672 (2.0167) Prec@1 44.375 (47.923) Prec@5 77.500 (78.367) Epoch: [55][6360/11272] Time 0.742 (0.809) Data 0.001 (0.002) Loss 2.2164 (2.0168) Prec@1 41.875 (47.921) Prec@5 79.375 (78.363) Epoch: [55][6370/11272] Time 0.860 (0.809) Data 0.001 (0.002) Loss 1.8937 (2.0169) Prec@1 51.250 (47.922) Prec@5 80.625 (78.361) Epoch: [55][6380/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 2.2350 (2.0170) Prec@1 43.125 (47.920) Prec@5 79.375 (78.361) Epoch: [55][6390/11272] Time 0.741 (0.809) Data 0.002 (0.002) Loss 1.7495 (2.0171) Prec@1 55.625 (47.918) Prec@5 83.125 (78.359) Epoch: [55][6400/11272] Time 0.743 (0.809) Data 0.001 (0.002) Loss 2.0135 (2.0171) Prec@1 48.750 (47.917) Prec@5 80.000 (78.358) Epoch: [55][6410/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.0113 (2.0172) Prec@1 48.125 (47.918) Prec@5 76.875 (78.357) Epoch: [55][6420/11272] Time 0.757 (0.809) Data 0.003 (0.002) Loss 2.0477 (2.0172) Prec@1 46.250 (47.917) Prec@5 79.375 (78.357) Epoch: [55][6430/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 2.0539 (2.0173) Prec@1 47.500 (47.914) Prec@5 75.625 (78.357) Epoch: [55][6440/11272] Time 0.879 (0.809) Data 0.002 (0.002) Loss 2.0637 (2.0174) Prec@1 48.750 (47.911) Prec@5 73.125 (78.355) Epoch: [55][6450/11272] Time 0.871 (0.809) Data 0.002 (0.002) Loss 2.3515 (2.0174) Prec@1 42.500 (47.910) Prec@5 75.000 (78.353) Epoch: [55][6460/11272] Time 0.741 (0.809) Data 0.002 (0.002) Loss 2.0694 (2.0174) Prec@1 44.375 (47.911) Prec@5 78.125 (78.351) Epoch: [55][6470/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 1.9224 (2.0174) Prec@1 50.000 (47.912) Prec@5 80.000 (78.352) Epoch: [55][6480/11272] Time 0.861 (0.809) Data 0.001 (0.002) Loss 2.2078 (2.0175) Prec@1 45.625 (47.913) Prec@5 72.500 (78.350) Epoch: [55][6490/11272] Time 0.929 (0.809) Data 0.002 (0.002) Loss 2.2779 (2.0176) Prec@1 41.250 (47.910) Prec@5 75.625 (78.349) Epoch: [55][6500/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 1.8684 (2.0175) Prec@1 51.250 (47.910) Prec@5 80.625 (78.350) Epoch: [55][6510/11272] Time 0.794 (0.809) Data 0.002 (0.002) Loss 2.1264 (2.0175) Prec@1 47.500 (47.912) Prec@5 75.625 (78.349) Epoch: [55][6520/11272] Time 0.911 (0.809) Data 0.002 (0.002) Loss 1.9521 (2.0175) Prec@1 48.125 (47.912) Prec@5 81.875 (78.348) Epoch: [55][6530/11272] Time 0.856 (0.809) Data 0.002 (0.002) Loss 2.0154 (2.0175) Prec@1 45.625 (47.911) Prec@5 79.375 (78.348) Epoch: [55][6540/11272] Time 0.744 (0.809) Data 0.001 (0.002) Loss 1.9535 (2.0176) Prec@1 44.375 (47.908) Prec@5 81.250 (78.347) Epoch: [55][6550/11272] Time 0.922 (0.809) Data 0.002 (0.002) Loss 1.9404 (2.0176) Prec@1 48.750 (47.909) Prec@5 80.625 (78.348) Epoch: [55][6560/11272] Time 0.892 (0.809) Data 0.001 (0.002) Loss 1.6964 (2.0176) Prec@1 53.125 (47.907) Prec@5 86.250 (78.349) Epoch: [55][6570/11272] Time 0.732 (0.809) Data 0.001 (0.002) Loss 1.8527 (2.0176) Prec@1 53.125 (47.910) Prec@5 78.750 (78.347) Epoch: [55][6580/11272] Time 0.773 (0.809) Data 0.002 (0.002) Loss 2.0575 (2.0176) Prec@1 42.500 (47.910) Prec@5 80.000 (78.347) Epoch: [55][6590/11272] Time 0.859 (0.809) Data 0.002 (0.002) Loss 2.1153 (2.0176) Prec@1 48.750 (47.909) Prec@5 75.625 (78.346) Epoch: [55][6600/11272] Time 0.854 (0.809) Data 0.002 (0.002) Loss 1.9265 (2.0176) Prec@1 50.000 (47.910) Prec@5 78.125 (78.346) Epoch: [55][6610/11272] Time 0.725 (0.809) Data 0.002 (0.002) Loss 1.8760 (2.0176) Prec@1 52.500 (47.911) Prec@5 77.500 (78.344) Epoch: [55][6620/11272] Time 0.748 (0.809) Data 0.002 (0.002) Loss 2.0474 (2.0175) Prec@1 45.000 (47.910) Prec@5 77.500 (78.343) Epoch: [55][6630/11272] Time 0.901 (0.809) Data 0.002 (0.002) Loss 2.1820 (2.0176) Prec@1 46.250 (47.910) Prec@5 73.125 (78.340) Epoch: [55][6640/11272] Time 0.860 (0.809) Data 0.002 (0.002) Loss 2.1675 (2.0176) Prec@1 46.250 (47.911) Prec@5 75.000 (78.340) Epoch: [55][6650/11272] Time 0.771 (0.809) Data 0.001 (0.002) Loss 2.1704 (2.0175) Prec@1 41.875 (47.910) Prec@5 73.750 (78.342) Epoch: [55][6660/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 2.0096 (2.0176) Prec@1 48.750 (47.911) Prec@5 78.750 (78.340) Epoch: [55][6670/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 1.8859 (2.0176) Prec@1 52.500 (47.911) Prec@5 85.000 (78.341) Epoch: [55][6680/11272] Time 0.754 (0.809) Data 0.003 (0.002) Loss 1.9608 (2.0177) Prec@1 52.500 (47.910) Prec@5 78.125 (78.340) Epoch: [55][6690/11272] Time 0.776 (0.809) Data 0.002 (0.002) Loss 1.8013 (2.0176) Prec@1 55.625 (47.910) Prec@5 81.875 (78.341) Epoch: [55][6700/11272] Time 0.882 (0.809) Data 0.001 (0.002) Loss 1.8617 (2.0176) Prec@1 48.750 (47.908) Prec@5 81.250 (78.344) Epoch: [55][6710/11272] Time 0.866 (0.809) Data 0.002 (0.002) Loss 2.0011 (2.0176) Prec@1 50.625 (47.906) Prec@5 77.500 (78.343) Epoch: [55][6720/11272] Time 0.772 (0.809) Data 0.002 (0.002) Loss 2.0354 (2.0176) Prec@1 43.125 (47.906) Prec@5 82.500 (78.344) Epoch: [55][6730/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.1676 (2.0176) Prec@1 46.250 (47.904) Prec@5 73.125 (78.342) Epoch: [55][6740/11272] Time 0.857 (0.809) Data 0.002 (0.002) Loss 2.0004 (2.0177) Prec@1 45.625 (47.899) Prec@5 78.125 (78.341) Epoch: [55][6750/11272] Time 0.876 (0.809) Data 0.002 (0.002) Loss 1.8392 (2.0177) Prec@1 53.125 (47.900) Prec@5 83.125 (78.341) Epoch: [55][6760/11272] Time 0.832 (0.809) Data 0.006 (0.002) Loss 1.8258 (2.0177) Prec@1 48.750 (47.901) Prec@5 79.375 (78.341) Epoch: [55][6770/11272] Time 0.762 (0.809) Data 0.001 (0.002) Loss 1.9625 (2.0178) Prec@1 46.250 (47.898) Prec@5 81.250 (78.338) Epoch: [55][6780/11272] Time 0.815 (0.809) Data 0.001 (0.002) Loss 1.7804 (2.0177) Prec@1 46.250 (47.901) Prec@5 81.875 (78.340) Epoch: [55][6790/11272] Time 0.838 (0.809) Data 0.002 (0.002) Loss 1.9384 (2.0177) Prec@1 49.375 (47.900) Prec@5 74.375 (78.339) Epoch: [55][6800/11272] Time 0.734 (0.809) Data 0.001 (0.002) Loss 2.1475 (2.0178) Prec@1 38.750 (47.897) Prec@5 75.000 (78.337) Epoch: [55][6810/11272] Time 0.870 (0.809) Data 0.002 (0.002) Loss 1.9843 (2.0177) Prec@1 50.000 (47.898) Prec@5 79.375 (78.338) Epoch: [55][6820/11272] Time 0.828 (0.809) Data 0.002 (0.002) Loss 1.9826 (2.0178) Prec@1 45.625 (47.896) Prec@5 77.500 (78.338) Epoch: [55][6830/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 2.2263 (2.0178) Prec@1 47.500 (47.894) Prec@5 73.750 (78.337) Epoch: [55][6840/11272] Time 0.743 (0.809) Data 0.002 (0.002) Loss 1.9737 (2.0178) Prec@1 51.875 (47.894) Prec@5 78.750 (78.337) Epoch: [55][6850/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 2.1076 (2.0178) Prec@1 47.500 (47.895) Prec@5 73.750 (78.336) Epoch: [55][6860/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 1.9046 (2.0178) Prec@1 48.125 (47.896) Prec@5 81.875 (78.336) Epoch: [55][6870/11272] Time 0.728 (0.809) Data 0.002 (0.002) Loss 1.9063 (2.0178) Prec@1 50.000 (47.897) Prec@5 81.875 (78.337) Epoch: [55][6880/11272] Time 0.771 (0.809) Data 0.001 (0.002) Loss 1.9950 (2.0177) Prec@1 51.875 (47.896) Prec@5 77.500 (78.337) Epoch: [55][6890/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.0383 (2.0178) Prec@1 49.375 (47.893) Prec@5 75.625 (78.336) Epoch: [55][6900/11272] Time 0.831 (0.809) Data 0.001 (0.002) Loss 2.0812 (2.0177) Prec@1 47.500 (47.898) Prec@5 76.875 (78.337) Epoch: [55][6910/11272] Time 0.766 (0.809) Data 0.002 (0.002) Loss 2.0217 (2.0177) Prec@1 46.875 (47.897) Prec@5 81.250 (78.339) Epoch: [55][6920/11272] Time 0.769 (0.809) Data 0.002 (0.002) Loss 1.8739 (2.0176) Prec@1 49.375 (47.898) Prec@5 80.625 (78.342) Epoch: [55][6930/11272] Time 0.833 (0.809) Data 0.001 (0.002) Loss 2.0916 (2.0176) Prec@1 48.750 (47.897) Prec@5 78.750 (78.341) Epoch: [55][6940/11272] Time 0.871 (0.809) Data 0.001 (0.002) Loss 2.0096 (2.0177) Prec@1 52.500 (47.895) Prec@5 80.000 (78.341) Epoch: [55][6950/11272] Time 0.740 (0.809) Data 0.002 (0.002) Loss 2.0624 (2.0177) Prec@1 51.250 (47.896) Prec@5 74.375 (78.340) Epoch: [55][6960/11272] Time 0.890 (0.809) Data 0.002 (0.002) Loss 2.2229 (2.0177) Prec@1 46.250 (47.897) Prec@5 75.000 (78.341) Epoch: [55][6970/11272] Time 0.869 (0.809) Data 0.003 (0.002) Loss 2.1818 (2.0176) Prec@1 48.125 (47.901) Prec@5 75.000 (78.341) Epoch: [55][6980/11272] Time 0.738 (0.809) Data 0.002 (0.002) Loss 2.0205 (2.0176) Prec@1 46.250 (47.899) Prec@5 77.500 (78.341) Epoch: [55][6990/11272] Time 0.760 (0.809) Data 0.002 (0.002) Loss 2.0603 (2.0176) Prec@1 45.625 (47.898) Prec@5 80.000 (78.343) Epoch: [55][7000/11272] Time 0.852 (0.809) Data 0.001 (0.002) Loss 2.0458 (2.0177) Prec@1 43.750 (47.895) Prec@5 81.250 (78.343) Epoch: [55][7010/11272] Time 0.851 (0.809) Data 0.002 (0.002) Loss 1.9915 (2.0177) Prec@1 54.375 (47.898) Prec@5 80.000 (78.342) Epoch: [55][7020/11272] Time 0.747 (0.809) Data 0.001 (0.002) Loss 1.9258 (2.0178) Prec@1 46.875 (47.896) Prec@5 81.250 (78.338) Epoch: [55][7030/11272] Time 0.757 (0.809) Data 0.002 (0.002) Loss 2.0630 (2.0178) Prec@1 43.750 (47.895) Prec@5 76.875 (78.338) Epoch: [55][7040/11272] Time 0.868 (0.809) Data 0.002 (0.002) Loss 1.8438 (2.0178) Prec@1 53.750 (47.894) Prec@5 81.875 (78.338) Epoch: [55][7050/11272] Time 0.889 (0.809) Data 0.002 (0.002) Loss 1.9829 (2.0177) Prec@1 52.500 (47.895) Prec@5 80.625 (78.340) Epoch: [55][7060/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 1.8652 (2.0179) Prec@1 50.000 (47.891) Prec@5 78.125 (78.336) Epoch: [55][7070/11272] Time 0.729 (0.809) Data 0.002 (0.002) Loss 2.0788 (2.0179) Prec@1 43.125 (47.890) Prec@5 77.500 (78.334) Epoch: [55][7080/11272] Time 0.820 (0.809) Data 0.002 (0.002) Loss 2.1774 (2.0180) Prec@1 44.375 (47.889) Prec@5 76.250 (78.333) Epoch: [55][7090/11272] Time 0.735 (0.809) Data 0.001 (0.002) Loss 2.1513 (2.0181) Prec@1 48.125 (47.888) Prec@5 72.500 (78.331) Epoch: [55][7100/11272] Time 0.761 (0.809) Data 0.003 (0.002) Loss 1.9964 (2.0181) Prec@1 44.375 (47.888) Prec@5 80.625 (78.330) Epoch: [55][7110/11272] Time 0.885 (0.809) Data 0.002 (0.002) Loss 1.9480 (2.0181) Prec@1 45.000 (47.887) Prec@5 82.500 (78.330) Epoch: [55][7120/11272] Time 0.878 (0.809) Data 0.002 (0.002) Loss 1.9483 (2.0181) Prec@1 49.375 (47.887) Prec@5 82.500 (78.329) Epoch: [55][7130/11272] Time 0.761 (0.809) Data 0.002 (0.002) Loss 1.8653 (2.0181) Prec@1 51.250 (47.884) Prec@5 78.125 (78.328) Epoch: [55][7140/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 2.1319 (2.0182) Prec@1 41.875 (47.883) Prec@5 80.000 (78.329) Epoch: [55][7150/11272] Time 0.847 (0.809) Data 0.002 (0.002) Loss 2.0970 (2.0182) Prec@1 45.000 (47.880) Prec@5 76.875 (78.328) Epoch: [55][7160/11272] Time 0.909 (0.809) Data 0.002 (0.002) Loss 2.2218 (2.0183) Prec@1 41.875 (47.879) Prec@5 72.500 (78.326) Epoch: [55][7170/11272] Time 0.765 (0.809) Data 0.002 (0.002) Loss 1.9870 (2.0184) Prec@1 55.625 (47.879) Prec@5 74.375 (78.326) Epoch: [55][7180/11272] Time 0.742 (0.809) Data 0.002 (0.002) Loss 2.0369 (2.0184) Prec@1 45.625 (47.880) Prec@5 79.375 (78.326) Epoch: [55][7190/11272] Time 0.823 (0.809) Data 0.002 (0.002) Loss 2.2366 (2.0185) Prec@1 49.375 (47.878) Prec@5 75.000 (78.323) Epoch: [55][7200/11272] Time 0.932 (0.809) Data 0.002 (0.002) Loss 1.8150 (2.0186) Prec@1 50.000 (47.876) Prec@5 81.875 (78.322) Epoch: [55][7210/11272] Time 0.728 (0.809) Data 0.001 (0.002) Loss 1.8830 (2.0186) Prec@1 51.875 (47.877) Prec@5 78.750 (78.322) Epoch: [55][7220/11272] Time 0.903 (0.809) Data 0.002 (0.002) Loss 1.9781 (2.0186) Prec@1 51.250 (47.879) Prec@5 81.250 (78.323) Epoch: [55][7230/11272] Time 0.883 (0.809) Data 0.002 (0.002) Loss 1.9614 (2.0187) Prec@1 45.000 (47.878) Prec@5 81.875 (78.321) Epoch: [55][7240/11272] Time 0.758 (0.809) Data 0.002 (0.002) Loss 1.9613 (2.0187) Prec@1 48.125 (47.877) Prec@5 80.625 (78.321) Epoch: [55][7250/11272] Time 0.748 (0.810) Data 0.002 (0.002) Loss 1.7806 (2.0188) Prec@1 53.750 (47.875) Prec@5 83.125 (78.319) Epoch: [55][7260/11272] Time 0.877 (0.810) Data 0.002 (0.002) Loss 2.0384 (2.0188) Prec@1 49.375 (47.875) Prec@5 76.250 (78.321) Epoch: [55][7270/11272] Time 0.896 (0.810) Data 0.002 (0.002) Loss 2.2841 (2.0188) Prec@1 40.625 (47.873) Prec@5 71.250 (78.321) Epoch: [55][7280/11272] Time 0.737 (0.810) Data 0.001 (0.002) Loss 1.8292 (2.0188) Prec@1 51.250 (47.874) Prec@5 83.125 (78.320) Epoch: [55][7290/11272] Time 0.754 (0.810) Data 0.002 (0.002) Loss 2.2664 (2.0189) Prec@1 46.875 (47.872) Prec@5 77.500 (78.317) Epoch: [55][7300/11272] Time 0.849 (0.810) Data 0.002 (0.002) Loss 2.0066 (2.0189) Prec@1 45.625 (47.872) Prec@5 77.500 (78.319) Epoch: [55][7310/11272] Time 0.870 (0.810) Data 0.003 (0.002) Loss 1.9996 (2.0189) Prec@1 43.750 (47.874) Prec@5 76.250 (78.318) Epoch: [55][7320/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 2.2331 (2.0190) Prec@1 43.125 (47.873) Prec@5 74.375 (78.318) Epoch: [55][7330/11272] Time 0.740 (0.810) Data 0.001 (0.002) Loss 2.2585 (2.0190) Prec@1 44.375 (47.872) Prec@5 75.625 (78.315) Epoch: [55][7340/11272] Time 0.894 (0.810) Data 0.002 (0.002) Loss 2.0300 (2.0190) Prec@1 47.500 (47.872) Prec@5 73.750 (78.314) Epoch: [55][7350/11272] Time 0.752 (0.810) Data 0.003 (0.002) Loss 1.8978 (2.0190) Prec@1 49.375 (47.874) Prec@5 80.625 (78.315) Epoch: [55][7360/11272] Time 0.753 (0.810) Data 0.002 (0.002) Loss 2.0317 (2.0190) Prec@1 51.250 (47.875) Prec@5 76.875 (78.314) Epoch: [55][7370/11272] Time 0.887 (0.810) Data 0.002 (0.002) Loss 2.0293 (2.0192) Prec@1 48.750 (47.873) Prec@5 80.625 (78.313) Epoch: [55][7380/11272] Time 0.857 (0.810) Data 0.001 (0.002) Loss 1.9587 (2.0192) Prec@1 51.875 (47.873) Prec@5 81.250 (78.313) Epoch: [55][7390/11272] Time 0.760 (0.810) Data 0.002 (0.002) Loss 2.0219 (2.0192) Prec@1 47.500 (47.871) Prec@5 76.875 (78.313) Epoch: [55][7400/11272] Time 0.733 (0.810) Data 0.002 (0.002) Loss 1.8768 (2.0192) Prec@1 48.750 (47.871) Prec@5 79.375 (78.313) Epoch: [55][7410/11272] Time 0.913 (0.810) Data 0.002 (0.002) Loss 2.0594 (2.0191) Prec@1 50.000 (47.873) Prec@5 78.125 (78.314) Epoch: [55][7420/11272] Time 0.860 (0.810) Data 0.002 (0.002) Loss 2.0717 (2.0193) Prec@1 46.875 (47.873) Prec@5 75.000 (78.312) Epoch: [55][7430/11272] Time 0.763 (0.810) Data 0.002 (0.002) Loss 2.0981 (2.0192) Prec@1 50.000 (47.874) Prec@5 76.875 (78.314) Epoch: [55][7440/11272] Time 0.767 (0.810) Data 0.002 (0.002) Loss 2.1278 (2.0192) Prec@1 41.875 (47.873) Prec@5 76.875 (78.311) Epoch: [55][7450/11272] Time 0.842 (0.810) Data 0.001 (0.002) Loss 1.8214 (2.0192) Prec@1 48.125 (47.872) Prec@5 81.250 (78.312) Epoch: [55][7460/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.0904 (2.0193) Prec@1 45.000 (47.870) Prec@5 80.000 (78.310) Epoch: [55][7470/11272] Time 0.797 (0.810) Data 0.001 (0.002) Loss 1.9240 (2.0192) Prec@1 51.875 (47.870) Prec@5 80.625 (78.311) Epoch: [55][7480/11272] Time 0.872 (0.810) Data 0.002 (0.002) Loss 2.0771 (2.0192) Prec@1 48.125 (47.871) Prec@5 79.375 (78.312) Epoch: [55][7490/11272] Time 0.877 (0.810) Data 0.002 (0.002) Loss 2.0280 (2.0192) Prec@1 47.500 (47.870) Prec@5 78.125 (78.311) Epoch: [55][7500/11272] Time 0.724 (0.810) Data 0.001 (0.002) Loss 1.6434 (2.0193) Prec@1 51.250 (47.869) Prec@5 88.125 (78.310) Epoch: [55][7510/11272] Time 0.774 (0.810) Data 0.002 (0.002) Loss 1.7775 (2.0193) Prec@1 55.625 (47.869) Prec@5 77.500 (78.308) Epoch: [55][7520/11272] Time 0.895 (0.810) Data 0.002 (0.002) Loss 2.3928 (2.0193) Prec@1 39.375 (47.868) Prec@5 70.625 (78.307) Epoch: [55][7530/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.0207 (2.0193) Prec@1 49.375 (47.867) Prec@5 78.125 (78.307) Epoch: [55][7540/11272] Time 0.771 (0.810) Data 0.002 (0.002) Loss 2.0165 (2.0193) Prec@1 50.625 (47.868) Prec@5 75.000 (78.307) Epoch: [55][7550/11272] Time 0.767 (0.810) Data 0.001 (0.002) Loss 2.2235 (2.0194) Prec@1 47.500 (47.867) Prec@5 73.750 (78.304) Epoch: [55][7560/11272] Time 0.865 (0.810) Data 0.002 (0.002) Loss 2.0944 (2.0194) Prec@1 45.000 (47.867) Prec@5 78.125 (78.303) Epoch: [55][7570/11272] Time 0.864 (0.810) Data 0.001 (0.002) Loss 2.1070 (2.0194) Prec@1 48.750 (47.868) Prec@5 76.875 (78.304) Epoch: [55][7580/11272] Time 0.747 (0.810) Data 0.002 (0.002) Loss 1.9468 (2.0194) Prec@1 51.875 (47.868) Prec@5 78.750 (78.305) Epoch: [55][7590/11272] Time 0.760 (0.810) Data 0.002 (0.002) Loss 1.9126 (2.0194) Prec@1 48.750 (47.868) Prec@5 81.875 (78.306) Epoch: [55][7600/11272] Time 0.873 (0.810) Data 0.002 (0.002) Loss 1.7436 (2.0193) Prec@1 52.500 (47.870) Prec@5 81.250 (78.308) Epoch: [55][7610/11272] Time 0.742 (0.810) Data 0.003 (0.002) Loss 2.0474 (2.0192) Prec@1 48.750 (47.869) Prec@5 78.750 (78.309) Epoch: [55][7620/11272] Time 0.748 (0.810) Data 0.001 (0.002) Loss 1.7596 (2.0192) Prec@1 53.125 (47.869) Prec@5 83.750 (78.310) Epoch: [55][7630/11272] Time 0.908 (0.810) Data 0.002 (0.002) Loss 1.8194 (2.0191) Prec@1 54.375 (47.873) Prec@5 79.375 (78.311) Epoch: [55][7640/11272] Time 0.894 (0.810) Data 0.002 (0.002) Loss 2.1258 (2.0191) Prec@1 41.875 (47.872) Prec@5 78.125 (78.310) Epoch: [55][7650/11272] Time 0.768 (0.810) Data 0.002 (0.002) Loss 2.0077 (2.0192) Prec@1 42.500 (47.871) Prec@5 78.125 (78.310) Epoch: [55][7660/11272] Time 0.759 (0.810) Data 0.002 (0.002) Loss 2.0909 (2.0191) Prec@1 48.125 (47.871) Prec@5 75.625 (78.311) Epoch: [55][7670/11272] Time 0.846 (0.810) Data 0.001 (0.002) Loss 1.8370 (2.0190) Prec@1 49.375 (47.874) Prec@5 84.375 (78.311) Epoch: [55][7680/11272] Time 0.897 (0.810) Data 0.002 (0.002) Loss 1.9354 (2.0191) Prec@1 48.750 (47.873) Prec@5 80.000 (78.310) Epoch: [55][7690/11272] Time 0.751 (0.810) Data 0.002 (0.002) Loss 2.1483 (2.0192) Prec@1 46.250 (47.871) Prec@5 77.500 (78.308) Epoch: [55][7700/11272] Time 0.765 (0.810) Data 0.001 (0.002) Loss 1.9801 (2.0192) Prec@1 44.375 (47.870) Prec@5 80.625 (78.308) Epoch: [55][7710/11272] Time 0.873 (0.810) Data 0.001 (0.002) Loss 1.8382 (2.0193) Prec@1 48.750 (47.869) Prec@5 85.000 (78.308) Epoch: [55][7720/11272] Time 0.839 (0.810) Data 0.001 (0.002) Loss 2.0089 (2.0192) Prec@1 49.375 (47.870) Prec@5 76.250 (78.308) Epoch: [55][7730/11272] Time 0.775 (0.810) Data 0.002 (0.002) Loss 2.0432 (2.0194) Prec@1 50.625 (47.866) Prec@5 76.875 (78.304) Epoch: [55][7740/11272] Time 0.894 (0.810) Data 0.002 (0.002) Loss 1.9435 (2.0194) Prec@1 48.125 (47.866) Prec@5 81.875 (78.305) Epoch: [55][7750/11272] Time 0.859 (0.810) Data 0.001 (0.002) Loss 2.1293 (2.0193) Prec@1 48.750 (47.867) Prec@5 77.500 (78.306) Epoch: [55][7760/11272] Time 0.748 (0.810) Data 0.002 (0.002) Loss 2.0814 (2.0193) Prec@1 48.750 (47.868) Prec@5 76.875 (78.307) Epoch: [55][7770/11272] Time 0.758 (0.810) Data 0.002 (0.002) Loss 1.9541 (2.0193) Prec@1 53.750 (47.868) Prec@5 80.625 (78.306) Epoch: [55][7780/11272] Time 0.897 (0.810) Data 0.002 (0.002) Loss 2.1322 (2.0194) Prec@1 44.375 (47.868) Prec@5 76.875 (78.305) Epoch: [55][7790/11272] Time 0.879 (0.810) Data 0.002 (0.002) Loss 2.2210 (2.0194) Prec@1 44.375 (47.866) Prec@5 77.500 (78.306) Epoch: [55][7800/11272] Time 0.792 (0.810) Data 0.002 (0.002) Loss 1.8637 (2.0194) Prec@1 49.375 (47.866) Prec@5 83.125 (78.305) Epoch: [55][7810/11272] Time 0.776 (0.810) Data 0.002 (0.002) Loss 2.0252 (2.0194) Prec@1 43.750 (47.867) Prec@5 80.000 (78.305) Epoch: [55][7820/11272] Time 0.900 (0.810) Data 0.002 (0.002) Loss 2.0647 (2.0195) Prec@1 50.000 (47.867) Prec@5 75.000 (78.305) Epoch: [55][7830/11272] Time 0.843 (0.810) Data 0.002 (0.002) Loss 1.9878 (2.0196) Prec@1 47.500 (47.864) Prec@5 80.000 (78.302) Epoch: [55][7840/11272] Time 0.754 (0.810) Data 0.002 (0.002) Loss 2.0803 (2.0196) Prec@1 43.125 (47.863) Prec@5 73.125 (78.301) Epoch: [55][7850/11272] Time 0.767 (0.810) Data 0.002 (0.002) Loss 1.8671 (2.0196) Prec@1 47.500 (47.864) Prec@5 81.250 (78.300) Epoch: [55][7860/11272] Time 0.911 (0.810) Data 0.002 (0.002) Loss 1.9110 (2.0196) Prec@1 51.875 (47.865) Prec@5 78.125 (78.299) Epoch: [55][7870/11272] Time 0.842 (0.810) Data 0.002 (0.002) Loss 1.9021 (2.0196) Prec@1 46.875 (47.865) Prec@5 78.750 (78.297) Epoch: [55][7880/11272] Time 0.754 (0.810) Data 0.002 (0.002) Loss 2.0544 (2.0196) Prec@1 48.125 (47.864) Prec@5 76.875 (78.297) Epoch: [55][7890/11272] Time 1.011 (0.810) Data 0.002 (0.002) Loss 2.0787 (2.0196) Prec@1 51.250 (47.864) Prec@5 75.625 (78.296) Epoch: [55][7900/11272] Time 0.919 (0.810) Data 0.002 (0.002) Loss 2.2490 (2.0196) Prec@1 46.875 (47.867) Prec@5 75.625 (78.298) Epoch: [55][7910/11272] Time 0.712 (0.810) Data 0.001 (0.002) Loss 2.1043 (2.0195) Prec@1 49.375 (47.869) Prec@5 72.500 (78.298) Epoch: [55][7920/11272] Time 0.826 (0.810) Data 0.002 (0.002) Loss 2.0161 (2.0195) Prec@1 48.125 (47.866) Prec@5 74.375 (78.298) Epoch: [55][7930/11272] Time 0.846 (0.810) Data 0.002 (0.002) Loss 1.8312 (2.0196) Prec@1 48.750 (47.865) Prec@5 83.125 (78.299) Epoch: [55][7940/11272] Time 0.965 (0.810) Data 0.002 (0.002) Loss 2.3218 (2.0197) Prec@1 40.625 (47.863) Prec@5 76.875 (78.298) Epoch: [55][7950/11272] Time 0.756 (0.810) Data 0.002 (0.002) Loss 2.0844 (2.0198) Prec@1 45.625 (47.861) Prec@5 75.000 (78.295) Epoch: [55][7960/11272] Time 0.748 (0.810) Data 0.002 (0.002) Loss 2.2967 (2.0199) Prec@1 42.500 (47.860) Prec@5 74.375 (78.293) Epoch: [55][7970/11272] Time 0.868 (0.810) Data 0.002 (0.002) Loss 2.3763 (2.0199) Prec@1 45.000 (47.859) Prec@5 71.875 (78.294) Epoch: [55][7980/11272] Time 0.863 (0.810) Data 0.002 (0.002) Loss 2.1062 (2.0201) Prec@1 44.375 (47.855) Prec@5 80.000 (78.289) Epoch: [55][7990/11272] Time 0.750 (0.810) Data 0.002 (0.002) Loss 2.0075 (2.0201) Prec@1 47.500 (47.855) Prec@5 80.625 (78.291) Epoch: [55][8000/11272] Time 0.742 (0.810) Data 0.002 (0.002) Loss 2.0134 (2.0201) Prec@1 48.125 (47.852) Prec@5 77.500 (78.290) Epoch: [55][8010/11272] Time 0.859 (0.810) Data 0.002 (0.002) Loss 2.1168 (2.0202) Prec@1 46.250 (47.850) Prec@5 76.250 (78.289) Epoch: [55][8020/11272] Time 0.717 (0.810) Data 0.001 (0.002) Loss 1.8202 (2.0201) Prec@1 52.500 (47.852) Prec@5 81.875 (78.291) Epoch: [55][8030/11272] Time 0.758 (0.810) Data 0.002 (0.002) Loss 2.1839 (2.0202) Prec@1 48.750 (47.851) Prec@5 76.250 (78.290) Epoch: [55][8040/11272] Time 0.905 (0.810) Data 0.001 (0.002) Loss 2.0545 (2.0201) Prec@1 49.375 (47.854) Prec@5 78.125 (78.291) Epoch: [55][8050/11272] Time 0.869 (0.810) Data 0.002 (0.002) Loss 2.1432 (2.0201) Prec@1 44.375 (47.852) Prec@5 78.750 (78.291) Epoch: [55][8060/11272] Time 0.748 (0.810) Data 0.002 (0.002) Loss 2.1326 (2.0201) Prec@1 46.875 (47.851) Prec@5 76.250 (78.290) Epoch: [55][8070/11272] Time 0.770 (0.810) Data 0.002 (0.002) Loss 1.9852 (2.0201) Prec@1 50.000 (47.851) Prec@5 78.125 (78.291) Epoch: [55][8080/11272] Time 0.848 (0.810) Data 0.002 (0.002) Loss 2.2361 (2.0202) Prec@1 45.000 (47.850) Prec@5 73.750 (78.291) Epoch: [55][8090/11272] Time 0.912 (0.811) Data 0.002 (0.002) Loss 2.0461 (2.0203) Prec@1 45.625 (47.848) Prec@5 81.250 (78.290) Epoch: [55][8100/11272] Time 0.766 (0.811) Data 0.002 (0.002) Loss 2.1647 (2.0203) Prec@1 45.000 (47.849) Prec@5 74.375 (78.289) Epoch: [55][8110/11272] Time 0.800 (0.811) Data 0.002 (0.002) Loss 2.0034 (2.0202) Prec@1 47.500 (47.849) Prec@5 80.000 (78.290) Epoch: [55][8120/11272] Time 0.891 (0.811) Data 0.002 (0.002) Loss 2.0963 (2.0202) Prec@1 50.000 (47.852) Prec@5 78.750 (78.291) Epoch: [55][8130/11272] Time 0.822 (0.811) Data 0.001 (0.002) Loss 1.9973 (2.0201) Prec@1 49.375 (47.853) Prec@5 77.500 (78.291) Epoch: [55][8140/11272] Time 0.729 (0.811) Data 0.002 (0.002) Loss 1.9246 (2.0201) Prec@1 46.875 (47.853) Prec@5 80.625 (78.292) Epoch: [55][8150/11272] Time 0.825 (0.811) Data 0.002 (0.002) Loss 1.8615 (2.0201) Prec@1 52.500 (47.853) Prec@5 81.875 (78.292) Epoch: [55][8160/11272] Time 0.911 (0.811) Data 0.002 (0.002) Loss 1.9109 (2.0201) Prec@1 49.375 (47.852) Prec@5 81.250 (78.292) Epoch: [55][8170/11272] Time 0.766 (0.811) Data 0.002 (0.002) Loss 2.0723 (2.0201) Prec@1 50.625 (47.850) Prec@5 77.500 (78.291) Epoch: [55][8180/11272] Time 0.766 (0.811) Data 0.002 (0.002) Loss 2.1193 (2.0201) Prec@1 46.250 (47.849) Prec@5 75.625 (78.291) Epoch: [55][8190/11272] Time 0.883 (0.811) Data 0.002 (0.002) Loss 2.0187 (2.0201) Prec@1 46.875 (47.850) Prec@5 78.125 (78.291) Epoch: [55][8200/11272] Time 0.931 (0.811) Data 0.002 (0.002) Loss 2.0193 (2.0201) Prec@1 48.125 (47.850) Prec@5 78.125 (78.292) Epoch: [55][8210/11272] Time 0.789 (0.811) Data 0.002 (0.002) Loss 1.9154 (2.0201) Prec@1 48.125 (47.850) Prec@5 83.125 (78.292) Epoch: [55][8220/11272] Time 0.802 (0.811) Data 0.002 (0.002) Loss 2.2567 (2.0202) Prec@1 40.000 (47.847) Prec@5 73.125 (78.291) Epoch: [55][8230/11272] Time 0.877 (0.811) Data 0.002 (0.002) Loss 2.1276 (2.0201) Prec@1 47.500 (47.848) Prec@5 75.000 (78.291) Epoch: [55][8240/11272] Time 0.859 (0.811) Data 0.002 (0.002) Loss 2.0728 (2.0201) Prec@1 44.375 (47.847) Prec@5 76.875 (78.290) Epoch: [55][8250/11272] Time 0.758 (0.811) Data 0.002 (0.002) Loss 1.8309 (2.0201) Prec@1 51.250 (47.850) Prec@5 83.750 (78.291) Epoch: [55][8260/11272] Time 0.750 (0.811) Data 0.002 (0.002) Loss 1.9027 (2.0201) Prec@1 49.375 (47.849) Prec@5 80.000 (78.289) Epoch: [55][8270/11272] Time 0.881 (0.811) Data 0.002 (0.002) Loss 2.2158 (2.0202) Prec@1 43.750 (47.847) Prec@5 75.000 (78.287) Epoch: [55][8280/11272] Time 0.760 (0.811) Data 0.004 (0.002) Loss 1.7718 (2.0202) Prec@1 52.500 (47.847) Prec@5 81.875 (78.286) Epoch: [55][8290/11272] Time 0.724 (0.811) Data 0.001 (0.002) Loss 1.9597 (2.0202) Prec@1 46.250 (47.848) Prec@5 79.375 (78.287) Epoch: [55][8300/11272] Time 0.884 (0.811) Data 0.002 (0.002) Loss 2.2010 (2.0202) Prec@1 38.750 (47.846) Prec@5 76.250 (78.287) Epoch: [55][8310/11272] Time 0.876 (0.811) Data 0.002 (0.002) Loss 2.1013 (2.0202) Prec@1 44.375 (47.845) Prec@5 75.625 (78.288) Epoch: [55][8320/11272] Time 0.751 (0.811) Data 0.002 (0.002) Loss 1.7509 (2.0203) Prec@1 54.375 (47.842) Prec@5 85.625 (78.287) Epoch: [55][8330/11272] Time 0.830 (0.811) Data 0.002 (0.002) Loss 2.0998 (2.0202) Prec@1 46.875 (47.843) Prec@5 76.875 (78.287) Epoch: [55][8340/11272] Time 0.903 (0.811) Data 0.002 (0.002) Loss 2.2632 (2.0203) Prec@1 43.750 (47.840) Prec@5 74.375 (78.287) Epoch: [55][8350/11272] Time 0.928 (0.811) Data 0.003 (0.002) Loss 2.0989 (2.0203) Prec@1 47.500 (47.840) Prec@5 75.625 (78.286) Epoch: [55][8360/11272] Time 0.763 (0.811) Data 0.002 (0.002) Loss 2.2029 (2.0204) Prec@1 45.000 (47.838) Prec@5 76.875 (78.283) Epoch: [55][8370/11272] Time 0.732 (0.811) Data 0.002 (0.002) Loss 1.9737 (2.0205) Prec@1 53.125 (47.839) Prec@5 76.875 (78.282) Epoch: [55][8380/11272] Time 0.935 (0.811) Data 0.002 (0.002) Loss 2.1313 (2.0204) Prec@1 49.375 (47.841) Prec@5 75.625 (78.282) Epoch: [55][8390/11272] Time 0.847 (0.811) Data 0.001 (0.002) Loss 2.0867 (2.0205) Prec@1 41.875 (47.840) Prec@5 77.500 (78.282) Epoch: [55][8400/11272] Time 0.735 (0.811) Data 0.002 (0.002) Loss 1.9631 (2.0205) Prec@1 53.750 (47.838) Prec@5 78.125 (78.280) Epoch: [55][8410/11272] Time 0.824 (0.811) Data 0.002 (0.002) Loss 1.8646 (2.0206) Prec@1 51.875 (47.837) Prec@5 80.000 (78.279) Epoch: [55][8420/11272] Time 0.848 (0.811) Data 0.002 (0.002) Loss 2.0504 (2.0206) Prec@1 46.250 (47.836) Prec@5 75.625 (78.280) Epoch: [55][8430/11272] Time 0.758 (0.811) Data 0.002 (0.002) Loss 1.7629 (2.0205) Prec@1 55.625 (47.839) Prec@5 83.125 (78.281) Epoch: [55][8440/11272] Time 0.754 (0.811) Data 0.001 (0.002) Loss 1.9397 (2.0206) Prec@1 46.250 (47.837) Prec@5 78.750 (78.278) Epoch: [55][8450/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.2185 (2.0206) Prec@1 46.875 (47.837) Prec@5 66.875 (78.277) Epoch: [55][8460/11272] Time 0.828 (0.811) Data 0.001 (0.002) Loss 1.9649 (2.0206) Prec@1 43.750 (47.838) Prec@5 85.625 (78.278) Epoch: [55][8470/11272] Time 0.806 (0.811) Data 0.002 (0.002) Loss 2.5340 (2.0207) Prec@1 41.250 (47.838) Prec@5 68.125 (78.276) Epoch: [55][8480/11272] Time 0.755 (0.811) Data 0.002 (0.002) Loss 1.8973 (2.0207) Prec@1 52.500 (47.839) Prec@5 81.250 (78.277) Epoch: [55][8490/11272] Time 0.853 (0.811) Data 0.002 (0.002) Loss 2.0624 (2.0206) Prec@1 46.875 (47.840) Prec@5 78.750 (78.277) Epoch: [55][8500/11272] Time 0.881 (0.811) Data 0.002 (0.002) Loss 2.2524 (2.0208) Prec@1 38.750 (47.838) Prec@5 75.625 (78.275) Epoch: [55][8510/11272] Time 0.779 (0.811) Data 0.002 (0.002) Loss 1.5988 (2.0207) Prec@1 57.500 (47.840) Prec@5 82.500 (78.276) Epoch: [55][8520/11272] Time 0.710 (0.811) Data 0.001 (0.002) Loss 2.1029 (2.0207) Prec@1 42.500 (47.838) Prec@5 76.250 (78.276) Epoch: [55][8530/11272] Time 0.873 (0.811) Data 0.002 (0.002) Loss 2.3057 (2.0207) Prec@1 38.125 (47.838) Prec@5 74.375 (78.276) Epoch: [55][8540/11272] Time 0.786 (0.811) Data 0.004 (0.002) Loss 2.0470 (2.0206) Prec@1 48.750 (47.841) Prec@5 76.250 (78.276) Epoch: [55][8550/11272] Time 0.728 (0.811) Data 0.002 (0.002) Loss 1.8672 (2.0207) Prec@1 45.625 (47.837) Prec@5 83.750 (78.275) Epoch: [55][8560/11272] Time 0.857 (0.811) Data 0.002 (0.002) Loss 2.0403 (2.0208) Prec@1 48.125 (47.836) Prec@5 77.500 (78.273) Epoch: [55][8570/11272] Time 0.868 (0.811) Data 0.002 (0.002) Loss 1.9027 (2.0207) Prec@1 51.250 (47.837) Prec@5 78.125 (78.273) Epoch: [55][8580/11272] Time 0.772 (0.811) Data 0.002 (0.002) Loss 2.1559 (2.0208) Prec@1 42.500 (47.834) Prec@5 78.125 (78.272) Epoch: [55][8590/11272] Time 0.781 (0.811) Data 0.002 (0.002) Loss 2.1773 (2.0209) Prec@1 48.125 (47.836) Prec@5 78.750 (78.272) Epoch: [55][8600/11272] Time 0.877 (0.811) Data 0.002 (0.002) Loss 2.0342 (2.0209) Prec@1 47.500 (47.834) Prec@5 77.500 (78.271) Epoch: [55][8610/11272] Time 0.916 (0.811) Data 0.002 (0.002) Loss 2.0029 (2.0209) Prec@1 46.875 (47.836) Prec@5 80.000 (78.269) Epoch: [55][8620/11272] Time 0.756 (0.811) Data 0.002 (0.002) Loss 2.0289 (2.0209) Prec@1 43.750 (47.839) Prec@5 78.125 (78.271) Epoch: [55][8630/11272] Time 0.798 (0.811) Data 0.002 (0.002) Loss 1.9268 (2.0208) Prec@1 46.875 (47.842) Prec@5 80.000 (78.272) Epoch: [55][8640/11272] Time 0.895 (0.811) Data 0.002 (0.002) Loss 2.0334 (2.0209) Prec@1 45.000 (47.841) Prec@5 81.250 (78.272) Epoch: [55][8650/11272] Time 0.949 (0.811) Data 0.002 (0.002) Loss 1.9226 (2.0209) Prec@1 47.500 (47.838) Prec@5 84.375 (78.272) Epoch: [55][8660/11272] Time 0.774 (0.811) Data 0.002 (0.002) Loss 2.0379 (2.0209) Prec@1 50.000 (47.837) Prec@5 78.750 (78.272) Epoch: [55][8670/11272] Time 0.896 (0.811) Data 0.002 (0.002) Loss 1.8839 (2.0209) Prec@1 46.875 (47.837) Prec@5 80.625 (78.272) Epoch: [55][8680/11272] Time 0.886 (0.811) Data 0.002 (0.002) Loss 1.9651 (2.0209) Prec@1 46.875 (47.836) Prec@5 77.500 (78.271) Epoch: [55][8690/11272] Time 0.741 (0.811) Data 0.001 (0.002) Loss 1.9210 (2.0209) Prec@1 45.000 (47.835) Prec@5 83.125 (78.272) Epoch: [55][8700/11272] Time 0.753 (0.811) Data 0.002 (0.002) Loss 1.9537 (2.0209) Prec@1 46.250 (47.834) Prec@5 79.375 (78.273) Epoch: [55][8710/11272] Time 0.886 (0.811) Data 0.002 (0.002) Loss 2.0352 (2.0209) Prec@1 51.875 (47.835) Prec@5 77.500 (78.274) Epoch: [55][8720/11272] Time 0.886 (0.811) Data 0.002 (0.002) Loss 2.1787 (2.0210) Prec@1 47.500 (47.834) Prec@5 73.750 (78.272) Epoch: [55][8730/11272] Time 0.790 (0.811) Data 0.002 (0.002) Loss 2.1202 (2.0211) Prec@1 50.000 (47.832) Prec@5 75.000 (78.269) Epoch: [55][8740/11272] Time 0.778 (0.811) Data 0.002 (0.002) Loss 1.9013 (2.0211) Prec@1 58.125 (47.834) Prec@5 78.750 (78.269) Epoch: [55][8750/11272] Time 0.899 (0.811) Data 0.004 (0.002) Loss 2.0981 (2.0211) Prec@1 49.375 (47.833) Prec@5 78.750 (78.269) Epoch: [55][8760/11272] Time 0.903 (0.811) Data 0.002 (0.002) Loss 1.8928 (2.0212) Prec@1 48.750 (47.831) Prec@5 80.625 (78.270) Epoch: [55][8770/11272] Time 0.765 (0.811) Data 0.002 (0.002) Loss 2.1912 (2.0211) Prec@1 43.750 (47.831) Prec@5 74.375 (78.269) Epoch: [55][8780/11272] Time 0.737 (0.811) Data 0.001 (0.002) Loss 2.2777 (2.0212) Prec@1 41.875 (47.829) Prec@5 70.625 (78.267) Epoch: [55][8790/11272] Time 0.862 (0.811) Data 0.002 (0.002) Loss 1.9392 (2.0212) Prec@1 51.875 (47.828) Prec@5 79.375 (78.268) Epoch: [55][8800/11272] Time 0.871 (0.811) Data 0.002 (0.002) Loss 1.8911 (2.0211) Prec@1 44.375 (47.829) Prec@5 81.250 (78.269) Epoch: [55][8810/11272] Time 0.806 (0.811) Data 0.002 (0.002) Loss 2.0737 (2.0212) Prec@1 46.875 (47.826) Prec@5 78.750 (78.270) Epoch: [55][8820/11272] Time 0.919 (0.811) Data 0.002 (0.002) Loss 2.2712 (2.0213) Prec@1 45.000 (47.824) Prec@5 73.750 (78.268) Epoch: [55][8830/11272] Time 0.890 (0.811) Data 0.002 (0.002) Loss 2.0137 (2.0213) Prec@1 48.750 (47.823) Prec@5 80.000 (78.269) Epoch: [55][8840/11272] Time 0.754 (0.811) Data 0.002 (0.002) Loss 2.1367 (2.0212) Prec@1 44.375 (47.823) Prec@5 75.625 (78.270) Epoch: [55][8850/11272] Time 0.767 (0.811) Data 0.002 (0.002) Loss 2.3236 (2.0212) Prec@1 39.375 (47.825) Prec@5 70.000 (78.271) Epoch: [55][8860/11272] Time 0.920 (0.811) Data 0.002 (0.002) Loss 2.3103 (2.0212) Prec@1 39.375 (47.823) Prec@5 74.375 (78.271) Epoch: [55][8870/11272] Time 0.857 (0.811) Data 0.002 (0.002) Loss 2.1168 (2.0212) Prec@1 46.875 (47.822) Prec@5 77.500 (78.270) Epoch: [55][8880/11272] Time 0.748 (0.811) Data 0.001 (0.002) Loss 1.8356 (2.0213) Prec@1 51.875 (47.819) Prec@5 81.250 (78.269) Epoch: [55][8890/11272] Time 0.770 (0.811) Data 0.002 (0.002) Loss 1.9063 (2.0212) Prec@1 50.000 (47.819) Prec@5 80.625 (78.269) Epoch: [55][8900/11272] Time 0.885 (0.811) Data 0.002 (0.002) Loss 2.1256 (2.0213) Prec@1 45.625 (47.818) Prec@5 75.625 (78.267) Epoch: [55][8910/11272] Time 0.922 (0.811) Data 0.002 (0.002) Loss 1.9657 (2.0213) Prec@1 51.250 (47.816) Prec@5 78.125 (78.267) Epoch: [55][8920/11272] Time 0.791 (0.811) Data 0.002 (0.002) Loss 1.9194 (2.0213) Prec@1 50.625 (47.818) Prec@5 80.000 (78.268) Epoch: [55][8930/11272] Time 0.756 (0.811) Data 0.001 (0.002) Loss 1.9919 (2.0213) Prec@1 46.875 (47.816) Prec@5 81.250 (78.267) Epoch: [55][8940/11272] Time 0.930 (0.812) Data 0.002 (0.002) Loss 2.1915 (2.0213) Prec@1 42.500 (47.818) Prec@5 75.000 (78.268) Epoch: [55][8950/11272] Time 0.725 (0.812) Data 0.002 (0.002) Loss 2.1825 (2.0212) Prec@1 44.375 (47.820) Prec@5 73.750 (78.268) Epoch: [55][8960/11272] Time 0.758 (0.812) Data 0.002 (0.002) Loss 1.7964 (2.0211) Prec@1 50.625 (47.821) Prec@5 79.375 (78.268) Epoch: [55][8970/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 2.0424 (2.0212) Prec@1 52.500 (47.823) Prec@5 74.375 (78.266) Epoch: [55][8980/11272] Time 0.919 (0.812) Data 0.002 (0.002) Loss 1.9286 (2.0212) Prec@1 50.000 (47.820) Prec@5 81.875 (78.266) Epoch: [55][8990/11272] Time 0.734 (0.812) Data 0.002 (0.002) Loss 1.8990 (2.0212) Prec@1 51.250 (47.821) Prec@5 80.625 (78.267) Epoch: [55][9000/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 1.7565 (2.0211) Prec@1 55.000 (47.822) Prec@5 83.125 (78.269) Epoch: [55][9010/11272] Time 0.852 (0.812) Data 0.002 (0.002) Loss 1.6719 (2.0211) Prec@1 48.125 (47.821) Prec@5 85.625 (78.269) Epoch: [55][9020/11272] Time 0.870 (0.812) Data 0.002 (0.002) Loss 2.0376 (2.0210) Prec@1 51.875 (47.824) Prec@5 81.250 (78.272) Epoch: [55][9030/11272] Time 0.741 (0.812) Data 0.001 (0.002) Loss 2.0281 (2.0211) Prec@1 51.875 (47.824) Prec@5 78.125 (78.270) Epoch: [55][9040/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 2.1111 (2.0212) Prec@1 49.375 (47.822) Prec@5 71.250 (78.269) Epoch: [55][9050/11272] Time 0.851 (0.812) Data 0.002 (0.002) Loss 2.1409 (2.0212) Prec@1 45.625 (47.823) Prec@5 76.250 (78.268) Epoch: [55][9060/11272] Time 0.871 (0.812) Data 0.001 (0.002) Loss 1.8296 (2.0211) Prec@1 55.000 (47.824) Prec@5 81.875 (78.270) Epoch: [55][9070/11272] Time 0.766 (0.812) Data 0.002 (0.002) Loss 2.0282 (2.0211) Prec@1 47.500 (47.822) Prec@5 82.500 (78.271) Epoch: [55][9080/11272] Time 0.850 (0.812) Data 0.002 (0.002) Loss 1.9917 (2.0211) Prec@1 48.750 (47.822) Prec@5 80.625 (78.272) Epoch: [55][9090/11272] Time 0.826 (0.812) Data 0.001 (0.002) Loss 1.8715 (2.0211) Prec@1 50.000 (47.822) Prec@5 79.375 (78.273) Epoch: [55][9100/11272] Time 0.775 (0.812) Data 0.002 (0.002) Loss 1.8831 (2.0211) Prec@1 50.625 (47.821) Prec@5 79.375 (78.273) Epoch: [55][9110/11272] Time 0.791 (0.812) Data 0.002 (0.002) Loss 2.1504 (2.0211) Prec@1 42.500 (47.821) Prec@5 74.375 (78.274) Epoch: [55][9120/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 1.8417 (2.0212) Prec@1 47.500 (47.822) Prec@5 80.000 (78.272) Epoch: [55][9130/11272] Time 0.881 (0.812) Data 0.002 (0.002) Loss 2.0180 (2.0212) Prec@1 46.875 (47.820) Prec@5 76.875 (78.272) Epoch: [55][9140/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 1.8778 (2.0212) Prec@1 48.125 (47.820) Prec@5 82.500 (78.271) Epoch: [55][9150/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 1.8611 (2.0213) Prec@1 50.000 (47.819) Prec@5 82.500 (78.271) Epoch: [55][9160/11272] Time 0.854 (0.812) Data 0.001 (0.002) Loss 1.9869 (2.0213) Prec@1 45.625 (47.819) Prec@5 81.875 (78.271) Epoch: [55][9170/11272] Time 0.854 (0.812) Data 0.002 (0.002) Loss 2.1759 (2.0213) Prec@1 41.875 (47.819) Prec@5 77.500 (78.272) Epoch: [55][9180/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 1.8877 (2.0213) Prec@1 50.625 (47.820) Prec@5 82.500 (78.273) Epoch: [55][9190/11272] Time 0.745 (0.812) Data 0.002 (0.002) Loss 1.9636 (2.0213) Prec@1 43.750 (47.821) Prec@5 78.125 (78.273) Epoch: [55][9200/11272] Time 0.889 (0.812) Data 0.002 (0.002) Loss 2.1605 (2.0212) Prec@1 48.125 (47.823) Prec@5 74.375 (78.273) Epoch: [55][9210/11272] Time 0.743 (0.812) Data 0.003 (0.002) Loss 2.1650 (2.0213) Prec@1 43.125 (47.819) Prec@5 76.875 (78.272) Epoch: [55][9220/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 2.2057 (2.0213) Prec@1 45.625 (47.820) Prec@5 74.375 (78.271) Epoch: [55][9230/11272] Time 0.861 (0.812) Data 0.002 (0.002) Loss 2.0450 (2.0213) Prec@1 53.750 (47.821) Prec@5 76.250 (78.273) Epoch: [55][9240/11272] Time 0.842 (0.812) Data 0.002 (0.002) Loss 1.9256 (2.0213) Prec@1 48.750 (47.821) Prec@5 78.750 (78.272) Epoch: [55][9250/11272] Time 0.755 (0.812) Data 0.002 (0.002) Loss 2.0138 (2.0213) Prec@1 48.125 (47.821) Prec@5 76.250 (78.272) Epoch: [55][9260/11272] Time 0.764 (0.812) Data 0.002 (0.002) Loss 2.0964 (2.0213) Prec@1 49.375 (47.821) Prec@5 76.875 (78.272) Epoch: [55][9270/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 1.9207 (2.0213) Prec@1 48.125 (47.822) Prec@5 79.375 (78.272) Epoch: [55][9280/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 1.7985 (2.0213) Prec@1 51.875 (47.820) Prec@5 80.625 (78.273) Epoch: [55][9290/11272] Time 0.756 (0.812) Data 0.002 (0.002) Loss 2.1188 (2.0213) Prec@1 42.500 (47.821) Prec@5 76.875 (78.274) Epoch: [55][9300/11272] Time 0.738 (0.812) Data 0.001 (0.002) Loss 2.1418 (2.0213) Prec@1 45.000 (47.820) Prec@5 71.875 (78.274) Epoch: [55][9310/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 1.9440 (2.0212) Prec@1 47.500 (47.821) Prec@5 81.250 (78.276) Epoch: [55][9320/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 1.8146 (2.0212) Prec@1 56.250 (47.822) Prec@5 80.625 (78.276) Epoch: [55][9330/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.2357 (2.0212) Prec@1 36.250 (47.822) Prec@5 73.750 (78.275) Epoch: [55][9340/11272] Time 0.983 (0.812) Data 0.002 (0.002) Loss 2.0788 (2.0213) Prec@1 50.000 (47.821) Prec@5 76.250 (78.274) Epoch: [55][9350/11272] Time 0.894 (0.812) Data 0.002 (0.002) Loss 1.9456 (2.0213) Prec@1 48.750 (47.820) Prec@5 78.125 (78.273) Epoch: [55][9360/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.1977 (2.0213) Prec@1 46.875 (47.819) Prec@5 75.000 (78.272) Epoch: [55][9370/11272] Time 0.773 (0.812) Data 0.002 (0.002) Loss 1.8506 (2.0214) Prec@1 50.625 (47.817) Prec@5 79.375 (78.270) Epoch: [55][9380/11272] Time 0.879 (0.812) Data 0.002 (0.002) Loss 2.0440 (2.0214) Prec@1 46.875 (47.816) Prec@5 81.250 (78.271) Epoch: [55][9390/11272] Time 0.861 (0.812) Data 0.002 (0.002) Loss 2.0280 (2.0214) Prec@1 53.750 (47.818) Prec@5 75.625 (78.269) Epoch: [55][9400/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 1.9659 (2.0214) Prec@1 49.375 (47.819) Prec@5 78.125 (78.269) Epoch: [55][9410/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 2.1008 (2.0214) Prec@1 46.875 (47.818) Prec@5 75.625 (78.269) Epoch: [55][9420/11272] Time 0.880 (0.812) Data 0.002 (0.002) Loss 2.1454 (2.0214) Prec@1 44.375 (47.817) Prec@5 75.625 (78.269) Epoch: [55][9430/11272] Time 0.844 (0.812) Data 0.001 (0.002) Loss 2.0134 (2.0215) Prec@1 48.750 (47.817) Prec@5 78.125 (78.267) Epoch: [55][9440/11272] Time 0.772 (0.812) Data 0.002 (0.002) Loss 2.1288 (2.0215) Prec@1 45.000 (47.817) Prec@5 77.500 (78.268) Epoch: [55][9450/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.1385 (2.0214) Prec@1 48.750 (47.818) Prec@5 75.625 (78.269) Epoch: [55][9460/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 1.8728 (2.0216) Prec@1 51.875 (47.816) Prec@5 79.375 (78.266) Epoch: [55][9470/11272] Time 0.790 (0.812) Data 0.004 (0.002) Loss 1.7861 (2.0216) Prec@1 50.625 (47.815) Prec@5 81.875 (78.265) Epoch: [55][9480/11272] Time 0.744 (0.812) Data 0.002 (0.002) Loss 2.2158 (2.0216) Prec@1 45.000 (47.813) Prec@5 76.875 (78.266) Epoch: [55][9490/11272] Time 0.842 (0.812) Data 0.002 (0.002) Loss 1.7914 (2.0217) Prec@1 52.500 (47.811) Prec@5 82.500 (78.266) Epoch: [55][9500/11272] Time 0.869 (0.812) Data 0.001 (0.002) Loss 2.1002 (2.0217) Prec@1 46.250 (47.809) Prec@5 80.625 (78.266) Epoch: [55][9510/11272] Time 0.732 (0.812) Data 0.001 (0.002) Loss 2.0621 (2.0216) Prec@1 45.625 (47.810) Prec@5 78.125 (78.266) Epoch: [55][9520/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.0214 (2.0217) Prec@1 51.250 (47.808) Prec@5 73.750 (78.266) Epoch: [55][9530/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 2.0274 (2.0217) Prec@1 44.375 (47.807) Prec@5 77.500 (78.265) Epoch: [55][9540/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 2.2162 (2.0217) Prec@1 46.875 (47.808) Prec@5 75.625 (78.265) Epoch: [55][9550/11272] Time 0.734 (0.812) Data 0.001 (0.002) Loss 2.1457 (2.0217) Prec@1 46.875 (47.808) Prec@5 79.375 (78.266) Epoch: [55][9560/11272] Time 0.725 (0.812) Data 0.001 (0.002) Loss 2.2024 (2.0217) Prec@1 45.625 (47.808) Prec@5 75.625 (78.267) Epoch: [55][9570/11272] Time 0.859 (0.812) Data 0.002 (0.002) Loss 2.0405 (2.0218) Prec@1 51.250 (47.808) Prec@5 78.125 (78.266) Epoch: [55][9580/11272] Time 0.908 (0.812) Data 0.001 (0.002) Loss 2.1129 (2.0218) Prec@1 45.000 (47.805) Prec@5 80.000 (78.267) Epoch: [55][9590/11272] Time 0.771 (0.812) Data 0.002 (0.002) Loss 1.9422 (2.0218) Prec@1 51.250 (47.805) Prec@5 81.875 (78.270) Epoch: [55][9600/11272] Time 0.883 (0.812) Data 0.002 (0.002) Loss 1.7735 (2.0218) Prec@1 54.375 (47.803) Prec@5 84.375 (78.270) Epoch: [55][9610/11272] Time 0.849 (0.812) Data 0.002 (0.002) Loss 2.0979 (2.0219) Prec@1 44.375 (47.801) Prec@5 75.625 (78.268) Epoch: [55][9620/11272] Time 0.743 (0.812) Data 0.001 (0.002) Loss 2.1864 (2.0219) Prec@1 49.375 (47.802) Prec@5 72.500 (78.268) Epoch: [55][9630/11272] Time 0.772 (0.812) Data 0.002 (0.002) Loss 2.0518 (2.0218) Prec@1 51.875 (47.802) Prec@5 73.125 (78.267) Epoch: [55][9640/11272] Time 0.936 (0.812) Data 0.001 (0.002) Loss 1.9592 (2.0218) Prec@1 51.250 (47.802) Prec@5 75.000 (78.268) Epoch: [55][9650/11272] Time 0.857 (0.812) Data 0.002 (0.002) Loss 2.1580 (2.0218) Prec@1 46.875 (47.801) Prec@5 76.250 (78.267) Epoch: [55][9660/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 1.9016 (2.0218) Prec@1 49.375 (47.800) Prec@5 80.625 (78.267) Epoch: [55][9670/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 1.9845 (2.0218) Prec@1 47.500 (47.799) Prec@5 80.625 (78.268) Epoch: [55][9680/11272] Time 0.895 (0.812) Data 0.002 (0.002) Loss 1.7888 (2.0217) Prec@1 58.125 (47.803) Prec@5 83.750 (78.270) Epoch: [55][9690/11272] Time 0.887 (0.812) Data 0.002 (0.002) Loss 1.9827 (2.0216) Prec@1 48.125 (47.803) Prec@5 79.375 (78.269) Epoch: [55][9700/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 1.9913 (2.0217) Prec@1 46.875 (47.801) Prec@5 78.750 (78.267) Epoch: [55][9710/11272] Time 0.777 (0.812) Data 0.002 (0.002) Loss 1.9910 (2.0216) Prec@1 48.125 (47.803) Prec@5 76.250 (78.268) Epoch: [55][9720/11272] Time 0.830 (0.812) Data 0.002 (0.002) Loss 2.0964 (2.0216) Prec@1 46.875 (47.803) Prec@5 73.125 (78.269) Epoch: [55][9730/11272] Time 0.851 (0.812) Data 0.001 (0.002) Loss 1.9850 (2.0217) Prec@1 45.000 (47.802) Prec@5 78.750 (78.268) Epoch: [55][9740/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 2.2165 (2.0217) Prec@1 45.000 (47.801) Prec@5 76.250 (78.268) Epoch: [55][9750/11272] Time 0.896 (0.812) Data 0.002 (0.002) Loss 1.8169 (2.0217) Prec@1 48.750 (47.800) Prec@5 80.625 (78.267) Epoch: [55][9760/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 1.6802 (2.0217) Prec@1 51.250 (47.800) Prec@5 83.750 (78.268) Epoch: [55][9770/11272] Time 0.723 (0.812) Data 0.004 (0.002) Loss 1.8163 (2.0216) Prec@1 51.250 (47.801) Prec@5 83.125 (78.269) Epoch: [55][9780/11272] Time 0.729 (0.812) Data 0.001 (0.002) Loss 2.1275 (2.0216) Prec@1 47.500 (47.802) Prec@5 72.500 (78.268) Epoch: [55][9790/11272] Time 0.893 (0.812) Data 0.002 (0.002) Loss 1.7661 (2.0216) Prec@1 52.500 (47.804) Prec@5 80.625 (78.269) Epoch: [55][9800/11272] Time 0.881 (0.812) Data 0.001 (0.002) Loss 2.0000 (2.0215) Prec@1 51.250 (47.806) Prec@5 75.625 (78.269) Epoch: [55][9810/11272] Time 0.716 (0.812) Data 0.001 (0.002) Loss 2.0751 (2.0215) Prec@1 50.000 (47.808) Prec@5 75.000 (78.269) Epoch: [55][9820/11272] Time 0.743 (0.812) Data 0.002 (0.002) Loss 1.7476 (2.0214) Prec@1 51.250 (47.807) Prec@5 84.375 (78.270) Epoch: [55][9830/11272] Time 0.856 (0.812) Data 0.001 (0.002) Loss 2.1091 (2.0215) Prec@1 51.250 (47.807) Prec@5 72.500 (78.269) Epoch: [55][9840/11272] Time 0.909 (0.812) Data 0.002 (0.002) Loss 1.8948 (2.0215) Prec@1 49.375 (47.807) Prec@5 82.500 (78.268) Epoch: [55][9850/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 1.9840 (2.0215) Prec@1 48.125 (47.807) Prec@5 82.500 (78.268) Epoch: [55][9860/11272] Time 0.724 (0.812) Data 0.002 (0.002) Loss 2.2488 (2.0215) Prec@1 43.125 (47.805) Prec@5 73.750 (78.267) Epoch: [55][9870/11272] Time 0.902 (0.812) Data 0.002 (0.002) Loss 2.0199 (2.0216) Prec@1 48.750 (47.802) Prec@5 77.500 (78.267) Epoch: [55][9880/11272] Time 0.720 (0.812) Data 0.001 (0.002) Loss 2.0253 (2.0215) Prec@1 44.375 (47.803) Prec@5 79.375 (78.269) Epoch: [55][9890/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.1398 (2.0216) Prec@1 45.625 (47.802) Prec@5 81.875 (78.269) Epoch: [55][9900/11272] Time 0.914 (0.812) Data 0.002 (0.002) Loss 1.9459 (2.0216) Prec@1 50.625 (47.801) Prec@5 81.250 (78.267) Epoch: [55][9910/11272] Time 0.865 (0.812) Data 0.002 (0.002) Loss 1.9422 (2.0217) Prec@1 45.625 (47.800) Prec@5 83.750 (78.266) Epoch: [55][9920/11272] Time 0.735 (0.812) Data 0.001 (0.002) Loss 2.1632 (2.0216) Prec@1 48.125 (47.801) Prec@5 73.750 (78.267) Epoch: [55][9930/11272] Time 0.791 (0.812) Data 0.004 (0.002) Loss 1.9883 (2.0217) Prec@1 45.000 (47.800) Prec@5 80.625 (78.266) Epoch: [55][9940/11272] Time 0.864 (0.812) Data 0.001 (0.002) Loss 1.9168 (2.0217) Prec@1 41.875 (47.800) Prec@5 83.125 (78.267) Epoch: [55][9950/11272] Time 0.862 (0.812) Data 0.002 (0.002) Loss 2.0905 (2.0216) Prec@1 43.750 (47.800) Prec@5 78.750 (78.268) Epoch: [55][9960/11272] Time 0.759 (0.812) Data 0.002 (0.002) Loss 2.1646 (2.0216) Prec@1 42.500 (47.799) Prec@5 77.500 (78.266) Epoch: [55][9970/11272] Time 0.774 (0.812) Data 0.002 (0.002) Loss 2.0791 (2.0217) Prec@1 49.375 (47.799) Prec@5 73.750 (78.265) Epoch: [55][9980/11272] Time 0.897 (0.812) Data 0.003 (0.002) Loss 1.9869 (2.0217) Prec@1 49.375 (47.800) Prec@5 77.500 (78.266) Epoch: [55][9990/11272] Time 0.901 (0.812) Data 0.002 (0.002) Loss 2.1615 (2.0218) Prec@1 48.125 (47.801) Prec@5 75.000 (78.264) Epoch: [55][10000/11272] Time 0.784 (0.812) Data 0.002 (0.002) Loss 1.9551 (2.0218) Prec@1 50.625 (47.800) Prec@5 76.875 (78.264) Epoch: [55][10010/11272] Time 0.907 (0.812) Data 0.002 (0.002) Loss 2.2373 (2.0217) Prec@1 45.625 (47.802) Prec@5 71.875 (78.264) Epoch: [55][10020/11272] Time 0.875 (0.812) Data 0.002 (0.002) Loss 2.0286 (2.0218) Prec@1 49.375 (47.801) Prec@5 79.375 (78.262) Epoch: [55][10030/11272] Time 0.763 (0.812) Data 0.002 (0.002) Loss 1.9718 (2.0218) Prec@1 47.500 (47.801) Prec@5 81.875 (78.263) Epoch: [55][10040/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 1.6716 (2.0218) Prec@1 55.625 (47.802) Prec@5 80.625 (78.263) Epoch: [55][10050/11272] Time 0.833 (0.812) Data 0.002 (0.002) Loss 2.1860 (2.0217) Prec@1 42.500 (47.802) Prec@5 75.625 (78.263) Epoch: [55][10060/11272] Time 0.863 (0.812) Data 0.002 (0.002) Loss 2.0259 (2.0217) Prec@1 43.750 (47.802) Prec@5 81.250 (78.263) Epoch: [55][10070/11272] Time 0.731 (0.812) Data 0.002 (0.002) Loss 1.9613 (2.0217) Prec@1 46.250 (47.801) Prec@5 79.375 (78.263) Epoch: [55][10080/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 1.8235 (2.0218) Prec@1 50.625 (47.801) Prec@5 76.250 (78.262) Epoch: [55][10090/11272] Time 0.872 (0.812) Data 0.002 (0.002) Loss 2.2295 (2.0218) Prec@1 45.625 (47.800) Prec@5 77.500 (78.261) Epoch: [55][10100/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 2.4334 (2.0219) Prec@1 37.500 (47.799) Prec@5 71.250 (78.259) Epoch: [55][10110/11272] Time 0.724 (0.812) Data 0.001 (0.002) Loss 2.0359 (2.0219) Prec@1 50.000 (47.799) Prec@5 76.875 (78.259) Epoch: [55][10120/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 1.9359 (2.0219) Prec@1 52.500 (47.798) Prec@5 81.250 (78.259) Epoch: [55][10130/11272] Time 0.951 (0.812) Data 0.002 (0.002) Loss 2.2285 (2.0219) Prec@1 45.000 (47.799) Prec@5 71.875 (78.259) Epoch: [55][10140/11272] Time 0.760 (0.812) Data 0.003 (0.002) Loss 2.1007 (2.0219) Prec@1 46.250 (47.801) Prec@5 77.500 (78.260) Epoch: [55][10150/11272] Time 0.750 (0.812) Data 0.002 (0.002) Loss 2.2802 (2.0219) Prec@1 41.250 (47.802) Prec@5 74.375 (78.259) Epoch: [55][10160/11272] Time 0.871 (0.812) Data 0.002 (0.002) Loss 1.9837 (2.0219) Prec@1 51.875 (47.799) Prec@5 75.000 (78.258) Epoch: [55][10170/11272] Time 0.905 (0.812) Data 0.002 (0.002) Loss 2.1165 (2.0220) Prec@1 48.125 (47.798) Prec@5 76.875 (78.258) Epoch: [55][10180/11272] Time 0.751 (0.812) Data 0.002 (0.002) Loss 1.5602 (2.0220) Prec@1 55.625 (47.797) Prec@5 87.500 (78.258) Epoch: [55][10190/11272] Time 0.782 (0.812) Data 0.002 (0.002) Loss 2.2268 (2.0220) Prec@1 45.000 (47.796) Prec@5 74.375 (78.257) Epoch: [55][10200/11272] Time 0.923 (0.812) Data 0.002 (0.002) Loss 1.8932 (2.0220) Prec@1 47.500 (47.796) Prec@5 80.000 (78.257) Epoch: [55][10210/11272] Time 0.854 (0.812) Data 0.002 (0.002) Loss 2.1330 (2.0221) Prec@1 41.875 (47.796) Prec@5 77.500 (78.257) Epoch: [55][10220/11272] Time 0.781 (0.812) Data 0.001 (0.002) Loss 1.8213 (2.0221) Prec@1 49.375 (47.796) Prec@5 82.500 (78.258) Epoch: [55][10230/11272] Time 0.758 (0.812) Data 0.002 (0.002) Loss 1.7674 (2.0220) Prec@1 50.625 (47.796) Prec@5 85.000 (78.260) Epoch: [55][10240/11272] Time 0.905 (0.812) Data 0.002 (0.002) Loss 1.8794 (2.0221) Prec@1 55.625 (47.795) Prec@5 78.750 (78.259) Epoch: [55][10250/11272] Time 0.939 (0.812) Data 0.002 (0.002) Loss 2.1832 (2.0221) Prec@1 42.500 (47.794) Prec@5 70.625 (78.258) Epoch: [55][10260/11272] Time 0.773 (0.812) Data 0.002 (0.002) Loss 2.1515 (2.0221) Prec@1 43.750 (47.794) Prec@5 74.375 (78.259) Epoch: [55][10270/11272] Time 0.826 (0.812) Data 0.002 (0.002) Loss 1.9019 (2.0222) Prec@1 50.000 (47.793) Prec@5 79.375 (78.258) Epoch: [55][10280/11272] Time 0.909 (0.812) Data 0.002 (0.002) Loss 1.9935 (2.0222) Prec@1 53.750 (47.792) Prec@5 76.250 (78.257) Epoch: [55][10290/11272] Time 0.727 (0.812) Data 0.002 (0.002) Loss 2.0991 (2.0222) Prec@1 48.750 (47.792) Prec@5 77.500 (78.255) Epoch: [55][10300/11272] Time 0.793 (0.812) Data 0.001 (0.002) Loss 2.1245 (2.0222) Prec@1 48.125 (47.792) Prec@5 73.750 (78.254) Epoch: [55][10310/11272] Time 0.845 (0.812) Data 0.002 (0.002) Loss 2.1917 (2.0223) Prec@1 43.750 (47.791) Prec@5 74.375 (78.255) Epoch: [55][10320/11272] Time 0.829 (0.812) Data 0.001 (0.002) Loss 1.9753 (2.0223) Prec@1 48.750 (47.790) Prec@5 81.875 (78.253) Epoch: [55][10330/11272] Time 0.752 (0.812) Data 0.002 (0.002) Loss 2.1891 (2.0224) Prec@1 40.625 (47.789) Prec@5 73.750 (78.253) Epoch: [55][10340/11272] Time 0.760 (0.812) Data 0.002 (0.002) Loss 1.8622 (2.0223) Prec@1 51.875 (47.789) Prec@5 81.250 (78.254) Epoch: [55][10350/11272] Time 0.878 (0.812) Data 0.001 (0.002) Loss 2.1852 (2.0224) Prec@1 45.000 (47.787) Prec@5 76.250 (78.253) Epoch: [55][10360/11272] Time 0.876 (0.812) Data 0.002 (0.002) Loss 1.8134 (2.0224) Prec@1 48.125 (47.786) Prec@5 82.500 (78.252) Epoch: [55][10370/11272] Time 0.746 (0.812) Data 0.002 (0.002) Loss 2.1783 (2.0224) Prec@1 45.000 (47.785) Prec@5 73.125 (78.253) Epoch: [55][10380/11272] Time 0.757 (0.812) Data 0.002 (0.002) Loss 1.9337 (2.0224) Prec@1 51.250 (47.787) Prec@5 81.875 (78.252) Epoch: [55][10390/11272] Time 0.849 (0.812) Data 0.002 (0.002) Loss 2.0131 (2.0225) Prec@1 48.125 (47.786) Prec@5 78.750 (78.252) Epoch: [55][10400/11272] Time 0.796 (0.812) Data 0.004 (0.002) Loss 2.2722 (2.0225) Prec@1 42.500 (47.784) Prec@5 70.000 (78.251) Epoch: [55][10410/11272] Time 0.766 (0.812) Data 0.002 (0.002) Loss 1.9110 (2.0225) Prec@1 46.875 (47.784) Prec@5 81.875 (78.251) Epoch: [55][10420/11272] Time 0.841 (0.812) Data 0.002 (0.002) Loss 1.8940 (2.0226) Prec@1 49.375 (47.784) Prec@5 80.625 (78.250) Epoch: [55][10430/11272] Time 0.894 (0.812) Data 0.002 (0.002) Loss 2.0497 (2.0226) Prec@1 42.500 (47.782) Prec@5 81.875 (78.250) Epoch: [55][10440/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.0912 (2.0226) Prec@1 48.125 (47.782) Prec@5 75.000 (78.249) Epoch: [55][10450/11272] Time 0.776 (0.812) Data 0.002 (0.002) Loss 2.1205 (2.0226) Prec@1 49.375 (47.782) Prec@5 75.000 (78.250) Epoch: [55][10460/11272] Time 0.916 (0.812) Data 0.002 (0.002) Loss 1.9347 (2.0227) Prec@1 48.750 (47.781) Prec@5 81.875 (78.249) Epoch: [55][10470/11272] Time 0.885 (0.812) Data 0.002 (0.002) Loss 2.0484 (2.0227) Prec@1 50.625 (47.781) Prec@5 80.000 (78.249) Epoch: [55][10480/11272] Time 0.761 (0.812) Data 0.002 (0.002) Loss 2.1399 (2.0227) Prec@1 45.625 (47.781) Prec@5 80.625 (78.249) Epoch: [55][10490/11272] Time 0.764 (0.812) Data 0.001 (0.002) Loss 1.8731 (2.0227) Prec@1 52.500 (47.781) Prec@5 80.000 (78.248) Epoch: [55][10500/11272] Time 0.884 (0.812) Data 0.002 (0.002) Loss 1.8532 (2.0226) Prec@1 52.500 (47.782) Prec@5 81.250 (78.249) Epoch: [55][10510/11272] Time 0.882 (0.812) Data 0.002 (0.002) Loss 2.1396 (2.0227) Prec@1 46.875 (47.782) Prec@5 76.875 (78.249) Epoch: [55][10520/11272] Time 0.754 (0.812) Data 0.002 (0.002) Loss 2.1026 (2.0226) Prec@1 45.000 (47.782) Prec@5 76.250 (78.250) Epoch: [55][10530/11272] Time 0.834 (0.812) Data 0.002 (0.002) Loss 2.0101 (2.0226) Prec@1 43.750 (47.782) Prec@5 83.750 (78.250) Epoch: [55][10540/11272] Time 0.866 (0.812) Data 0.002 (0.002) Loss 2.1740 (2.0227) Prec@1 43.750 (47.782) Prec@5 74.375 (78.248) Epoch: [55][10550/11272] Time 0.718 (0.812) Data 0.001 (0.002) Loss 2.0553 (2.0227) Prec@1 43.125 (47.782) Prec@5 80.625 (78.250) Epoch: [55][10560/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.0957 (2.0227) Prec@1 46.875 (47.778) Prec@5 78.750 (78.249) Epoch: [55][10570/11272] Time 0.830 (0.812) Data 0.002 (0.002) Loss 1.9968 (2.0228) Prec@1 48.125 (47.778) Prec@5 81.875 (78.249) Epoch: [55][10580/11272] Time 0.839 (0.812) Data 0.002 (0.002) Loss 1.9563 (2.0228) Prec@1 53.125 (47.779) Prec@5 77.500 (78.248) Epoch: [55][10590/11272] Time 0.742 (0.812) Data 0.002 (0.002) Loss 2.2664 (2.0229) Prec@1 45.625 (47.777) Prec@5 73.125 (78.247) Epoch: [55][10600/11272] Time 0.739 (0.812) Data 0.002 (0.002) Loss 1.9458 (2.0229) Prec@1 50.000 (47.777) Prec@5 76.250 (78.247) Epoch: [55][10610/11272] Time 0.877 (0.812) Data 0.002 (0.002) Loss 2.1360 (2.0228) Prec@1 42.500 (47.777) Prec@5 75.625 (78.248) Epoch: [55][10620/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.0368 (2.0228) Prec@1 46.875 (47.777) Prec@5 77.500 (78.249) Epoch: [55][10630/11272] Time 0.738 (0.812) Data 0.001 (0.002) Loss 2.2205 (2.0229) Prec@1 41.250 (47.775) Prec@5 77.500 (78.249) Epoch: [55][10640/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.0593 (2.0229) Prec@1 43.750 (47.775) Prec@5 76.250 (78.249) Epoch: [55][10650/11272] Time 0.830 (0.812) Data 0.001 (0.002) Loss 1.6384 (2.0228) Prec@1 58.750 (47.776) Prec@5 83.125 (78.251) Epoch: [55][10660/11272] Time 0.864 (0.812) Data 0.002 (0.002) Loss 2.1359 (2.0228) Prec@1 44.375 (47.776) Prec@5 76.875 (78.251) Epoch: [55][10670/11272] Time 0.740 (0.812) Data 0.002 (0.002) Loss 1.9070 (2.0229) Prec@1 45.625 (47.774) Prec@5 82.500 (78.249) Epoch: [55][10680/11272] Time 0.836 (0.812) Data 0.001 (0.002) Loss 2.1403 (2.0230) Prec@1 41.875 (47.771) Prec@5 75.625 (78.247) Epoch: [55][10690/11272] Time 0.835 (0.812) Data 0.002 (0.002) Loss 2.0473 (2.0231) Prec@1 46.875 (47.771) Prec@5 77.500 (78.246) Epoch: [55][10700/11272] Time 0.727 (0.812) Data 0.002 (0.002) Loss 1.9553 (2.0231) Prec@1 48.125 (47.771) Prec@5 80.625 (78.246) Epoch: [55][10710/11272] Time 0.738 (0.812) Data 0.002 (0.002) Loss 2.0342 (2.0231) Prec@1 48.125 (47.771) Prec@5 78.125 (78.246) Epoch: [55][10720/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 1.8924 (2.0231) Prec@1 54.375 (47.773) Prec@5 80.625 (78.247) Epoch: [55][10730/11272] Time 0.862 (0.812) Data 0.002 (0.002) Loss 1.9677 (2.0230) Prec@1 47.500 (47.773) Prec@5 76.875 (78.247) Epoch: [55][10740/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.1645 (2.0231) Prec@1 46.875 (47.772) Prec@5 72.500 (78.246) Epoch: [55][10750/11272] Time 0.726 (0.812) Data 0.001 (0.002) Loss 1.9502 (2.0232) Prec@1 47.500 (47.770) Prec@5 78.125 (78.245) Epoch: [55][10760/11272] Time 0.844 (0.812) Data 0.002 (0.002) Loss 2.1967 (2.0232) Prec@1 43.125 (47.768) Prec@5 77.500 (78.243) Epoch: [55][10770/11272] Time 0.854 (0.812) Data 0.002 (0.002) Loss 1.7698 (2.0233) Prec@1 49.375 (47.767) Prec@5 84.375 (78.242) Epoch: [55][10780/11272] Time 0.794 (0.812) Data 0.002 (0.002) Loss 2.0448 (2.0233) Prec@1 46.875 (47.766) Prec@5 77.500 (78.242) Epoch: [55][10790/11272] Time 0.779 (0.812) Data 0.001 (0.002) Loss 2.3123 (2.0234) Prec@1 39.375 (47.764) Prec@5 73.125 (78.240) Epoch: [55][10800/11272] Time 0.849 (0.812) Data 0.002 (0.002) Loss 1.9221 (2.0233) Prec@1 50.625 (47.765) Prec@5 80.625 (78.240) Epoch: [55][10810/11272] Time 0.757 (0.812) Data 0.001 (0.002) Loss 2.0488 (2.0233) Prec@1 48.750 (47.765) Prec@5 73.750 (78.240) Epoch: [55][10820/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.1647 (2.0233) Prec@1 44.375 (47.766) Prec@5 75.625 (78.240) Epoch: [55][10830/11272] Time 0.834 (0.812) Data 0.002 (0.002) Loss 1.7948 (2.0233) Prec@1 52.500 (47.764) Prec@5 80.000 (78.240) Epoch: [55][10840/11272] Time 0.855 (0.812) Data 0.002 (0.002) Loss 1.9912 (2.0233) Prec@1 45.625 (47.763) Prec@5 80.000 (78.240) Epoch: [55][10850/11272] Time 0.753 (0.812) Data 0.002 (0.002) Loss 2.1099 (2.0234) Prec@1 44.375 (47.762) Prec@5 76.250 (78.237) Epoch: [55][10860/11272] Time 0.724 (0.812) Data 0.002 (0.002) Loss 1.9546 (2.0234) Prec@1 46.875 (47.761) Prec@5 83.125 (78.238) Epoch: [55][10870/11272] Time 0.894 (0.812) Data 0.002 (0.002) Loss 1.8710 (2.0234) Prec@1 52.500 (47.762) Prec@5 79.375 (78.238) Epoch: [55][10880/11272] Time 0.840 (0.812) Data 0.002 (0.002) Loss 2.0485 (2.0234) Prec@1 48.125 (47.762) Prec@5 78.125 (78.238) Epoch: [55][10890/11272] Time 0.733 (0.812) Data 0.001 (0.002) Loss 2.0645 (2.0235) Prec@1 43.750 (47.761) Prec@5 78.750 (78.237) Epoch: [55][10900/11272] Time 0.744 (0.812) Data 0.001 (0.002) Loss 2.0489 (2.0235) Prec@1 48.125 (47.761) Prec@5 77.500 (78.237) Epoch: [55][10910/11272] Time 0.874 (0.812) Data 0.002 (0.002) Loss 2.0673 (2.0235) Prec@1 46.875 (47.759) Prec@5 77.500 (78.236) Epoch: [55][10920/11272] Time 0.790 (0.812) Data 0.001 (0.002) Loss 1.7116 (2.0235) Prec@1 55.000 (47.761) Prec@5 83.125 (78.238) Epoch: [55][10930/11272] Time 0.736 (0.812) Data 0.002 (0.002) Loss 2.2433 (2.0236) Prec@1 41.875 (47.761) Prec@5 71.875 (78.237) Epoch: [55][10940/11272] Time 0.813 (0.812) Data 0.002 (0.002) Loss 1.9515 (2.0236) Prec@1 48.750 (47.760) Prec@5 80.000 (78.235) Epoch: [55][10950/11272] Time 0.833 (0.812) Data 0.001 (0.002) Loss 2.0923 (2.0236) Prec@1 43.125 (47.761) Prec@5 76.250 (78.234) Epoch: [55][10960/11272] Time 0.747 (0.812) Data 0.002 (0.002) Loss 1.9725 (2.0236) Prec@1 49.375 (47.761) Prec@5 78.125 (78.234) Epoch: [55][10970/11272] Time 0.729 (0.812) Data 0.001 (0.002) Loss 1.9575 (2.0236) Prec@1 43.125 (47.760) Prec@5 80.625 (78.234) Epoch: [55][10980/11272] Time 0.860 (0.812) Data 0.002 (0.002) Loss 2.0700 (2.0236) Prec@1 50.000 (47.760) Prec@5 76.875 (78.235) Epoch: [55][10990/11272] Time 0.868 (0.812) Data 0.002 (0.002) Loss 2.0073 (2.0236) Prec@1 47.500 (47.759) Prec@5 80.625 (78.234) Epoch: [55][11000/11272] Time 0.748 (0.812) Data 0.002 (0.002) Loss 1.8868 (2.0236) Prec@1 55.625 (47.759) Prec@5 83.750 (78.234) Epoch: [55][11010/11272] Time 0.749 (0.812) Data 0.002 (0.002) Loss 2.0641 (2.0236) Prec@1 43.750 (47.760) Prec@5 76.250 (78.234) Epoch: [55][11020/11272] Time 0.822 (0.812) Data 0.001 (0.002) Loss 2.0463 (2.0235) Prec@1 53.125 (47.760) Prec@5 76.875 (78.235) Epoch: [55][11030/11272] Time 0.848 (0.812) Data 0.002 (0.002) Loss 1.9692 (2.0235) Prec@1 45.625 (47.761) Prec@5 82.500 (78.236) Epoch: [55][11040/11272] Time 0.725 (0.812) Data 0.001 (0.002) Loss 1.8912 (2.0234) Prec@1 48.750 (47.760) Prec@5 81.875 (78.238) Epoch: [55][11050/11272] Time 0.725 (0.812) Data 0.002 (0.002) Loss 1.8510 (2.0234) Prec@1 50.000 (47.759) Prec@5 79.375 (78.239) Epoch: [55][11060/11272] Time 0.835 (0.812) Data 0.002 (0.002) Loss 2.2260 (2.0235) Prec@1 44.375 (47.757) Prec@5 71.250 (78.237) Epoch: [55][11070/11272] Time 0.744 (0.812) Data 0.003 (0.002) Loss 2.1187 (2.0236) Prec@1 45.000 (47.755) Prec@5 76.875 (78.236) Epoch: [55][11080/11272] Time 0.736 (0.812) Data 0.001 (0.002) Loss 1.9976 (2.0236) Prec@1 45.000 (47.755) Prec@5 81.250 (78.236) Epoch: [55][11090/11272] Time 0.830 (0.812) Data 0.002 (0.002) Loss 2.2461 (2.0236) Prec@1 44.375 (47.756) Prec@5 74.375 (78.236) Epoch: [55][11100/11272] Time 0.842 (0.812) Data 0.002 (0.002) Loss 2.0556 (2.0236) Prec@1 46.875 (47.755) Prec@5 80.000 (78.237) Epoch: [55][11110/11272] Time 0.737 (0.811) Data 0.001 (0.002) Loss 2.0766 (2.0235) Prec@1 48.750 (47.755) Prec@5 80.000 (78.240) Epoch: [55][11120/11272] Time 0.738 (0.811) Data 0.002 (0.002) Loss 2.2174 (2.0235) Prec@1 41.250 (47.754) Prec@5 76.875 (78.240) Epoch: [55][11130/11272] Time 0.846 (0.811) Data 0.002 (0.002) Loss 2.0290 (2.0236) Prec@1 46.250 (47.754) Prec@5 78.750 (78.239) Epoch: [55][11140/11272] Time 0.853 (0.811) Data 0.002 (0.002) Loss 2.0043 (2.0236) Prec@1 47.500 (47.756) Prec@5 78.750 (78.239) Epoch: [55][11150/11272] Time 0.731 (0.811) Data 0.002 (0.002) Loss 2.1355 (2.0236) Prec@1 48.750 (47.755) Prec@5 71.875 (78.238) Epoch: [55][11160/11272] Time 0.733 (0.811) Data 0.001 (0.002) Loss 1.9739 (2.0236) Prec@1 45.625 (47.753) Prec@5 81.250 (78.237) Epoch: [55][11170/11272] Time 0.881 (0.811) Data 0.002 (0.002) Loss 1.9086 (2.0237) Prec@1 51.250 (47.752) Prec@5 78.750 (78.236) Epoch: [55][11180/11272] Time 0.838 (0.811) Data 0.002 (0.002) Loss 2.0833 (2.0237) Prec@1 50.625 (47.751) Prec@5 77.500 (78.237) Epoch: [55][11190/11272] Time 0.736 (0.811) Data 0.002 (0.002) Loss 1.8244 (2.0236) Prec@1 52.500 (47.754) Prec@5 83.125 (78.237) Epoch: [55][11200/11272] Time 0.800 (0.811) Data 0.001 (0.002) Loss 1.9052 (2.0237) Prec@1 54.375 (47.754) Prec@5 77.500 (78.237) Epoch: [55][11210/11272] Time 0.835 (0.811) Data 0.001 (0.002) Loss 2.0416 (2.0237) Prec@1 46.250 (47.753) Prec@5 74.375 (78.235) Epoch: [55][11220/11272] Time 0.750 (0.811) Data 0.001 (0.002) Loss 1.9476 (2.0238) Prec@1 46.875 (47.753) Prec@5 77.500 (78.234) Epoch: [55][11230/11272] Time 0.735 (0.811) Data 0.002 (0.002) Loss 1.9994 (2.0239) Prec@1 48.750 (47.752) Prec@5 82.500 (78.232) Epoch: [55][11240/11272] Time 0.860 (0.811) Data 0.002 (0.002) Loss 2.1684 (2.0239) Prec@1 39.375 (47.751) Prec@5 75.625 (78.233) Epoch: [55][11250/11272] Time 0.884 (0.811) Data 0.002 (0.002) Loss 2.1177 (2.0239) Prec@1 40.625 (47.748) Prec@5 78.750 (78.232) Epoch: [55][11260/11272] Time 0.725 (0.811) Data 0.002 (0.002) Loss 2.0549 (2.0239) Prec@1 48.750 (47.748) Prec@5 80.000 (78.232) Epoch: [55][11270/11272] Time 0.724 (0.811) Data 0.000 (0.002) Loss 1.9484 (2.0238) Prec@1 51.250 (47.749) Prec@5 80.625 (78.234) Test: [0/229] Time 2.332 (2.332) Loss 1.1170 (1.1170) Prec@1 62.500 (62.500) Prec@5 95.000 (95.000) Test: [10/229] Time 0.342 (0.544) Loss 1.2480 (1.7379) Prec@1 62.500 (52.841) Prec@5 93.750 (85.511) Test: [20/229] Time 0.439 (0.466) Loss 2.3974 (1.8191) Prec@1 40.000 (50.625) Prec@5 70.000 (83.214) Test: [30/229] Time 0.330 (0.438) Loss 1.8851 (1.7233) Prec@1 46.250 (53.851) Prec@5 86.250 (84.254) Test: [40/229] Time 0.397 (0.424) Loss 0.4266 (1.7158) Prec@1 89.375 (54.009) Prec@5 96.250 (84.634) Test: [50/229] Time 0.326 (0.416) Loss 2.4803 (1.7577) Prec@1 28.750 (53.223) Prec@5 73.125 (83.333) Test: [60/229] Time 0.355 (0.407) Loss 2.0956 (1.7442) Prec@1 43.125 (53.463) Prec@5 83.125 (83.514) Test: [70/229] Time 0.354 (0.402) Loss 1.1763 (1.7460) Prec@1 73.125 (53.363) Prec@5 87.500 (83.574) Test: [80/229] Time 0.364 (0.398) Loss 2.0911 (1.7639) Prec@1 42.500 (52.693) Prec@5 81.875 (83.627) Test: [90/229] Time 0.416 (0.397) Loss 1.1803 (1.7573) Prec@1 72.500 (52.850) Prec@5 90.000 (83.867) Test: [100/229] Time 0.322 (0.394) Loss 1.8881 (1.7425) Prec@1 58.125 (53.472) Prec@5 83.125 (84.041) Test: [110/229] Time 0.400 (0.393) Loss 1.2956 (1.7244) Prec@1 66.250 (53.688) Prec@5 90.000 (84.279) Test: [120/229] Time 0.344 (0.391) Loss 2.7758 (1.7509) Prec@1 30.625 (52.908) Prec@5 71.875 (83.931) Test: [130/229] Time 0.392 (0.390) Loss 1.3277 (1.7384) Prec@1 60.000 (53.197) Prec@5 91.875 (84.098) Test: [140/229] Time 0.440 (0.389) Loss 1.8125 (1.7586) Prec@1 54.375 (52.753) Prec@5 85.625 (83.785) Test: [150/229] Time 0.328 (0.388) Loss 1.1042 (1.7723) Prec@1 78.125 (52.512) Prec@5 86.875 (83.630) Test: [160/229] Time 0.388 (0.387) Loss 1.8650 (1.7763) Prec@1 59.375 (52.395) Prec@5 83.750 (83.595) Test: [170/229] Time 0.363 (0.386) Loss 1.7383 (1.7958) Prec@1 54.375 (51.853) Prec@5 87.500 (83.304) Test: [180/229] Time 0.444 (0.386) Loss 2.7951 (1.8002) Prec@1 27.500 (51.934) Prec@5 64.375 (83.122) Test: [190/229] Time 0.319 (0.385) Loss 1.4245 (1.7855) Prec@1 57.500 (52.297) Prec@5 91.250 (83.357) Test: [200/229] Time 0.326 (0.384) Loss 1.7371 (1.7786) Prec@1 44.375 (52.233) Prec@5 86.250 (83.523) Test: [210/229] Time 0.418 (0.384) Loss 1.1473 (1.7683) Prec@1 63.125 (52.485) Prec@5 92.500 (83.655) Test: [220/229] Time 0.411 (0.383) Loss 1.6969 (1.7618) Prec@1 55.625 (52.774) Prec@5 87.500 (83.679) * Prec@1 53.084 Prec@5 83.751 Epoch: [56][0/11272] Time 3.623 (3.623) Data 2.793 (2.793) Loss 2.0627 (2.0627) Prec@1 48.125 (48.125) Prec@5 76.875 (76.875) Epoch: [56][10/11272] Time 0.856 (1.072) Data 0.001 (0.255) Loss 2.0493 (1.9888) Prec@1 46.875 (50.511) Prec@5 76.250 (78.466) Epoch: [56][20/11272] Time 0.867 (0.937) Data 0.002 (0.135) Loss 1.9402 (1.9813) Prec@1 48.750 (49.643) Prec@5 82.500 (78.750) Epoch: [56][30/11272] Time 0.717 (0.886) Data 0.001 (0.092) Loss 1.8428 (1.9954) Prec@1 49.375 (48.871) Prec@5 79.375 (78.589) Epoch: [56][40/11272] Time 0.797 (0.865) Data 0.001 (0.070) Loss 2.1714 (1.9810) Prec@1 45.000 (49.055) Prec@5 76.875 (78.857) Epoch: [56][50/11272] Time 0.840 (0.853) Data 0.001 (0.056) Loss 1.9243 (1.9765) Prec@1 53.750 (48.958) Prec@5 81.250 (78.983) Epoch: [56][60/11272] Time 0.867 (0.843) Data 0.001 (0.047) Loss 2.0415 (1.9826) Prec@1 45.625 (48.863) Prec@5 81.250 (78.965) Epoch: [56][70/11272] Time 0.739 (0.837) Data 0.002 (0.041) Loss 2.1168 (1.9900) Prec@1 43.750 (48.609) Prec@5 80.625 (78.759) Epoch: [56][80/11272] Time 0.751 (0.832) Data 0.001 (0.036) Loss 1.8784 (1.9881) Prec@1 45.625 (48.688) Prec@5 82.500 (78.765) Epoch: [56][90/11272] Time 0.845 (0.830) Data 0.001 (0.032) Loss 1.9032 (1.9956) Prec@1 53.750 (48.558) Prec@5 80.000 (78.654) Epoch: [56][100/11272] Time 0.854 (0.828) Data 0.002 (0.029) Loss 1.9488 (1.9966) Prec@1 51.250 (48.515) Prec@5 77.500 (78.632) Epoch: [56][110/11272] Time 0.743 (0.825) Data 0.001 (0.027) Loss 1.8563 (1.9907) Prec@1 54.375 (48.666) Prec@5 79.375 (78.677) Epoch: [56][120/11272] Time 0.759 (0.824) Data 0.002 (0.025) Loss 2.0971 (1.9877) Prec@1 48.750 (48.765) Prec@5 74.375 (78.698) Epoch: [56][130/11272] Time 0.833 (0.820) Data 0.001 (0.023) Loss 1.9835 (1.9907) Prec@1 49.375 (48.802) Prec@5 78.750 (78.655) Epoch: [56][140/11272] Time 0.744 (0.817) Data 0.003 (0.021) Loss 2.0728 (1.9934) Prec@1 48.125 (48.741) Prec@5 73.125 (78.586) Epoch: [56][150/11272] Time 0.733 (0.814) Data 0.002 (0.020) Loss 1.8418 (1.9939) Prec@1 57.500 (48.717) Prec@5 80.000 (78.576) Epoch: [56][160/11272] Time 0.865 (0.814) Data 0.002 (0.019) Loss 2.2264 (2.0005) Prec@1 46.875 (48.587) Prec@5 74.375 (78.416) Epoch: [56][170/11272] Time 0.838 (0.813) Data 0.002 (0.018) Loss 1.8563 (1.9993) Prec@1 52.500 (48.662) Prec@5 82.500 (78.498) Epoch: [56][180/11272] Time 0.747 (0.813) Data 0.002 (0.017) Loss 1.8324 (1.9985) Prec@1 53.125 (48.681) Prec@5 79.375 (78.526) Epoch: [56][190/11272] Time 0.742 (0.812) Data 0.002 (0.016) Loss 1.9186 (1.9974) Prec@1 48.125 (48.711) Prec@5 81.250 (78.508) Epoch: [56][200/11272] Time 0.840 (0.812) Data 0.002 (0.016) Loss 2.1008 (1.9952) Prec@1 45.625 (48.756) Prec@5 70.625 (78.529) Epoch: [56][210/11272] Time 0.844 (0.811) Data 0.002 (0.015) Loss 1.9649 (1.9993) Prec@1 49.375 (48.643) Prec@5 80.625 (78.466) Epoch: [56][220/11272] Time 0.746 (0.810) Data 0.002 (0.014) Loss 2.0224 (1.9985) Prec@1 51.875 (48.660) Prec@5 76.875 (78.512) Epoch: [56][230/11272] Time 0.733 (0.810) Data 0.002 (0.014) Loss 2.0889 (1.9982) Prec@1 45.625 (48.661) Prec@5 76.875 (78.547) Epoch: [56][240/11272] Time 0.826 (0.809) Data 0.001 (0.013) Loss 1.9641 (1.9980) Prec@1 49.375 (48.628) Prec@5 78.125 (78.530) Epoch: [56][250/11272] Time 0.850 (0.808) Data 0.002 (0.013) Loss 1.9350 (1.9974) Prec@1 43.750 (48.558) Prec@5 81.250 (78.548) Epoch: [56][260/11272] Time 0.726 (0.807) Data 0.002 (0.012) Loss 1.9695 (1.9984) Prec@1 51.250 (48.501) Prec@5 79.375 (78.491) Epoch: [56][270/11272] Time 0.891 (0.808) Data 0.001 (0.012) Loss 1.7746 (1.9968) Prec@1 48.750 (48.478) Prec@5 85.000 (78.506) Epoch: [56][280/11272] Time 0.927 (0.808) Data 0.002 (0.012) Loss 2.2281 (2.0011) Prec@1 43.750 (48.430) Prec@5 73.750 (78.456) Epoch: [56][290/11272] Time 0.746 (0.807) Data 0.001 (0.011) Loss 1.6863 (1.9999) Prec@1 50.625 (48.462) Prec@5 88.125 (78.492) Epoch: [56][300/11272] Time 0.741 (0.807) Data 0.001 (0.011) Loss 2.1145 (2.0000) Prec@1 44.375 (48.484) Prec@5 81.250 (78.515) Epoch: [56][310/11272] Time 0.861 (0.807) Data 0.002 (0.011) Loss 2.0805 (2.0001) Prec@1 54.375 (48.507) Prec@5 82.500 (78.549) Epoch: [56][320/11272] Time 0.888 (0.807) Data 0.002 (0.010) Loss 1.8170 (2.0014) Prec@1 52.500 (48.472) Prec@5 81.250 (78.530) Epoch: [56][330/11272] Time 0.731 (0.806) Data 0.002 (0.010) Loss 2.1261 (2.0019) Prec@1 44.375 (48.438) Prec@5 76.875 (78.554) Epoch: [56][340/11272] Time 0.772 (0.807) Data 0.002 (0.010) Loss 1.7826 (2.0005) Prec@1 54.375 (48.444) Prec@5 81.875 (78.605) Epoch: [56][350/11272] Time 0.838 (0.807) Data 0.001 (0.010) Loss 2.0923 (2.0006) Prec@1 47.500 (48.433) Prec@5 76.875 (78.620) Epoch: [56][360/11272] Time 0.943 (0.808) Data 0.002 (0.009) Loss 2.0140 (2.0026) Prec@1 48.750 (48.397) Prec@5 74.375 (78.586) Epoch: [56][370/11272] Time 0.733 (0.807) Data 0.002 (0.009) Loss 1.8334 (2.0017) Prec@1 50.000 (48.428) Prec@5 83.750 (78.612) Epoch: [56][380/11272] Time 0.793 (0.807) Data 0.002 (0.009) Loss 2.1512 (2.0020) Prec@1 45.000 (48.419) Prec@5 75.000 (78.589) Epoch: [56][390/11272] Time 0.827 (0.807) Data 0.001 (0.009) Loss 2.0956 (2.0039) Prec@1 45.625 (48.352) Prec@5 73.750 (78.576) Epoch: [56][400/11272] Time 0.744 (0.806) Data 0.003 (0.009) Loss 1.9846 (2.0038) Prec@1 51.875 (48.379) Prec@5 80.625 (78.577) Epoch: [56][410/11272] Time 0.710 (0.806) Data 0.001 (0.008) Loss 2.1135 (2.0046) Prec@1 48.750 (48.362) Prec@5 76.875 (78.584) Epoch: [56][420/11272] Time 0.849 (0.806) Data 0.002 (0.008) Loss 1.7816 (2.0032) Prec@1 55.000 (48.401) Prec@5 85.625 (78.599) Epoch: [56][430/11272] Time 0.883 (0.806) Data 0.002 (0.008) Loss 2.1252 (2.0045) Prec@1 48.125 (48.379) Prec@5 75.000 (78.576) Epoch: [56][440/11272] Time 0.737 (0.806) Data 0.001 (0.008) Loss 2.2469 (2.0056) Prec@1 41.250 (48.342) Prec@5 75.625 (78.550) Epoch: [56][450/11272] Time 0.720 (0.806) Data 0.002 (0.008) Loss 1.9700 (2.0050) Prec@1 48.125 (48.373) Prec@5 78.125 (78.545) Epoch: [56][460/11272] Time 0.849 (0.806) Data 0.002 (0.008) Loss 1.9671 (2.0037) Prec@1 46.875 (48.400) Prec@5 80.000 (78.566) Epoch: [56][470/11272] Time 0.872 (0.806) Data 0.002 (0.008) Loss 1.9704 (2.0029) Prec@1 47.500 (48.394) Prec@5 80.625 (78.583) Epoch: [56][480/11272] Time 0.808 (0.806) Data 0.001 (0.007) Loss 1.6627 (2.0033) Prec@1 54.375 (48.421) Prec@5 83.125 (78.580) Epoch: [56][490/11272] Time 0.752 (0.805) Data 0.002 (0.007) Loss 1.9020 (2.0044) Prec@1 45.625 (48.387) Prec@5 82.500 (78.551) Epoch: [56][500/11272] Time 0.850 (0.805) Data 0.002 (0.007) Loss 2.0002 (2.0055) Prec@1 48.750 (48.367) Prec@5 79.375 (78.538) Epoch: [56][510/11272] Time 0.852 (0.805) Data 0.001 (0.007) Loss 2.1414 (2.0062) Prec@1 44.375 (48.339) Prec@5 76.250 (78.529) Epoch: [56][520/11272] Time 0.722 (0.804) Data 0.002 (0.007) Loss 2.1981 (2.0061) Prec@1 46.250 (48.373) Prec@5 73.125 (78.520) Epoch: [56][530/11272] Time 0.867 (0.804) Data 0.002 (0.007) Loss 1.9423 (2.0052) Prec@1 50.625 (48.403) Prec@5 77.500 (78.515) Epoch: [56][540/11272] Time 0.910 (0.804) Data 0.002 (0.007) Loss 1.8919 (2.0042) Prec@1 46.250 (48.425) Prec@5 83.750 (78.546) Epoch: [56][550/11272] Time 0.753 (0.804) Data 0.001 (0.007) Loss 1.9472 (2.0039) Prec@1 49.375 (48.434) Prec@5 82.500 (78.559) Epoch: [56][560/11272] Time 0.735 (0.804) Data 0.002 (0.007) Loss 1.7804 (2.0038) Prec@1 55.625 (48.438) Prec@5 81.250 (78.561) Epoch: [56][570/11272] Time 0.874 (0.804) Data 0.001 (0.007) Loss 1.9365 (2.0051) Prec@1 50.000 (48.395) Prec@5 80.000 (78.549) Epoch: [56][580/11272] Time 0.843 (0.804) Data 0.001 (0.006) Loss 1.6904 (2.0048) Prec@1 51.250 (48.372) Prec@5 84.375 (78.543) Epoch: [56][590/11272] Time 0.742 (0.804) Data 0.002 (0.006) Loss 2.0851 (2.0050) Prec@1 44.375 (48.379) Prec@5 80.000 (78.543) Epoch: [56][600/11272] Time 0.741 (0.804) Data 0.002 (0.006) Loss 1.8621 (2.0048) Prec@1 50.000 (48.358) Prec@5 80.000 (78.539) Epoch: [56][610/11272] Time 0.843 (0.803) Data 0.002 (0.006) Loss 1.7385 (2.0051) Prec@1 53.750 (48.345) Prec@5 81.250 (78.543) Epoch: [56][620/11272] Time 0.837 (0.803) Data 0.001 (0.006) Loss 1.8230 (2.0048) Prec@1 49.375 (48.333) Prec@5 76.875 (78.546) Epoch: [56][630/11272] Time 0.738 (0.803) Data 0.002 (0.006) Loss 2.0315 (2.0044) Prec@1 48.125 (48.346) Prec@5 79.375 (78.550) Epoch: [56][640/11272] Time 0.735 (0.803) Data 0.001 (0.006) Loss 2.1940 (2.0049) Prec@1 45.625 (48.349) Prec@5 74.375 (78.532) Epoch: [56][650/11272] Time 0.805 (0.803) Data 0.001 (0.006) Loss 1.9639 (2.0056) Prec@1 45.625 (48.362) Prec@5 79.375 (78.526) Epoch: [56][660/11272] Time 0.843 (0.803) Data 0.002 (0.006) Loss 2.1941 (2.0059) Prec@1 44.375 (48.335) Prec@5 78.750 (78.524) Epoch: [56][670/11272] Time 0.749 (0.803) Data 0.002 (0.006) Loss 1.8941 (2.0054) Prec@1 50.000 (48.352) Prec@5 79.375 (78.526) Epoch: [56][680/11272] Time 0.832 (0.802) Data 0.002 (0.006) Loss 1.8963 (2.0049) Prec@1 50.625 (48.360) Prec@5 80.000 (78.534) Epoch: [56][690/11272] Time 0.856 (0.802) Data 0.002 (0.006) Loss 2.0406 (2.0049) Prec@1 45.000 (48.329) Prec@5 75.625 (78.539) Epoch: [56][700/11272] Time 0.785 (0.802) Data 0.002 (0.006) Loss 1.9502 (2.0048) Prec@1 50.000 (48.344) Prec@5 79.375 (78.530) Epoch: [56][710/11272] Time 0.738 (0.802) Data 0.002 (0.006) Loss 1.9569 (2.0043) Prec@1 51.250 (48.337) Prec@5 81.250 (78.551) Epoch: [56][720/11272] Time 0.848 (0.802) Data 0.002 (0.006) Loss 1.9306 (2.0042) Prec@1 49.375 (48.333) Prec@5 78.750 (78.550) Epoch: [56][730/11272] Time 0.913 (0.802) Data 0.002 (0.005) Loss 1.9002 (2.0039) Prec@1 50.625 (48.362) Prec@5 76.875 (78.553) Epoch: [56][740/11272] Time 0.746 (0.802) Data 0.002 (0.005) Loss 1.9481 (2.0039) Prec@1 51.875 (48.364) Prec@5 79.375 (78.548) Epoch: [56][750/11272] Time 0.769 (0.802) Data 0.002 (0.005) Loss 2.0970 (2.0040) Prec@1 49.375 (48.367) Prec@5 75.625 (78.549) Epoch: [56][760/11272] Time 0.857 (0.802) Data 0.002 (0.005) Loss 2.1629 (2.0046) Prec@1 48.750 (48.348) Prec@5 73.750 (78.526) Epoch: [56][770/11272] Time 0.846 (0.802) Data 0.001 (0.005) Loss 1.7825 (2.0045) Prec@1 50.625 (48.339) Prec@5 83.750 (78.534) Epoch: [56][780/11272] Time 0.758 (0.802) Data 0.002 (0.005) Loss 1.9133 (2.0043) Prec@1 50.000 (48.343) Prec@5 79.375 (78.547) Epoch: [56][790/11272] Time 0.720 (0.802) Data 0.002 (0.005) Loss 2.0950 (2.0047) Prec@1 43.125 (48.326) Prec@5 75.625 (78.537) Epoch: [56][800/11272] Time 0.859 (0.802) Data 0.001 (0.005) Loss 1.9985 (2.0053) Prec@1 46.250 (48.311) Prec@5 77.500 (78.524) Epoch: [56][810/11272] Time 0.720 (0.802) Data 0.001 (0.005) Loss 2.0492 (2.0056) Prec@1 44.375 (48.280) Prec@5 73.750 (78.514) Epoch: [56][820/11272] Time 0.741 (0.802) Data 0.002 (0.005) Loss 2.1088 (2.0059) Prec@1 45.625 (48.281) Prec@5 74.375 (78.516) Epoch: [56][830/11272] Time 0.859 (0.802) Data 0.002 (0.005) Loss 1.9517 (2.0066) Prec@1 53.750 (48.269) Prec@5 77.500 (78.504) Epoch: [56][840/11272] Time 0.852 (0.802) Data 0.002 (0.005) Loss 2.3209 (2.0074) Prec@1 40.000 (48.243) Prec@5 71.875 (78.492) Epoch: [56][850/11272] Time 0.744 (0.802) Data 0.002 (0.005) Loss 1.9041 (2.0071) Prec@1 49.375 (48.243) Prec@5 83.750 (78.495) Epoch: [56][860/11272] Time 0.720 (0.802) Data 0.002 (0.005) Loss 1.9417 (2.0070) Prec@1 46.875 (48.245) Prec@5 83.125 (78.500) Epoch: [56][870/11272] Time 0.870 (0.801) Data 0.002 (0.005) Loss 1.9886 (2.0070) Prec@1 51.875 (48.252) Prec@5 78.125 (78.496) Epoch: [56][880/11272] Time 0.878 (0.801) Data 0.002 (0.005) Loss 2.1314 (2.0079) Prec@1 46.875 (48.241) Prec@5 81.250 (78.473) Epoch: [56][890/11272] Time 0.746 (0.801) Data 0.002 (0.005) Loss 2.0325 (2.0088) Prec@1 45.625 (48.223) Prec@5 79.375 (78.454) Epoch: [56][900/11272] Time 0.746 (0.801) Data 0.002 (0.005) Loss 2.0378 (2.0095) Prec@1 45.000 (48.205) Prec@5 78.125 (78.436) Epoch: [56][910/11272] Time 0.846 (0.801) Data 0.002 (0.005) Loss 1.9219 (2.0097) Prec@1 55.000 (48.207) Prec@5 76.875 (78.431) Epoch: [56][920/11272] Time 0.866 (0.801) Data 0.002 (0.005) Loss 1.8404 (2.0103) Prec@1 51.250 (48.196) Prec@5 80.000 (78.418) Epoch: [56][930/11272] Time 0.717 (0.801) Data 0.002 (0.005) Loss 2.0460 (2.0101) Prec@1 46.875 (48.189) Prec@5 78.750 (78.419) Epoch: [56][940/11272] Time 0.886 (0.801) Data 0.001 (0.005) Loss 2.1475 (2.0100) Prec@1 49.375 (48.191) Prec@5 72.500 (78.407) Epoch: [56][950/11272] Time 0.854 (0.801) Data 0.002 (0.005) Loss 1.7499 (2.0097) Prec@1 56.250 (48.195) Prec@5 81.875 (78.410) Epoch: [56][960/11272] Time 0.780 (0.801) Data 0.002 (0.005) Loss 2.1585 (2.0106) Prec@1 43.750 (48.174) Prec@5 78.750 (78.394) Epoch: [56][970/11272] Time 0.782 (0.801) Data 0.002 (0.005) Loss 1.6358 (2.0107) Prec@1 56.250 (48.177) Prec@5 85.000 (78.382) Epoch: [56][980/11272] Time 0.847 (0.801) Data 0.001 (0.004) Loss 1.8526 (2.0107) Prec@1 48.750 (48.167) Prec@5 80.625 (78.379) Epoch: [56][990/11272] Time 0.845 (0.801) Data 0.002 (0.004) Loss 1.9317 (2.0105) Prec@1 53.750 (48.176) Prec@5 77.500 (78.378) Epoch: [56][1000/11272] Time 0.723 (0.801) Data 0.002 (0.004) Loss 1.7851 (2.0104) Prec@1 58.750 (48.200) Prec@5 81.250 (78.389) Epoch: [56][1010/11272] Time 0.727 (0.801) Data 0.002 (0.004) Loss 2.0431 (2.0105) Prec@1 45.625 (48.202) Prec@5 76.875 (78.384) Epoch: [56][1020/11272] Time 0.872 (0.801) Data 0.001 (0.004) Loss 1.8538 (2.0102) Prec@1 51.875 (48.206) Prec@5 85.000 (78.394) Epoch: [56][1030/11272] Time 0.821 (0.801) Data 0.001 (0.004) Loss 2.2405 (2.0103) Prec@1 46.250 (48.217) Prec@5 75.000 (78.386) Epoch: [56][1040/11272] Time 0.744 (0.801) Data 0.002 (0.004) Loss 2.1976 (2.0107) Prec@1 45.625 (48.185) Prec@5 72.500 (78.377) Epoch: [56][1050/11272] Time 0.754 (0.801) Data 0.002 (0.004) Loss 1.9276 (2.0106) Prec@1 49.375 (48.199) Prec@5 81.250 (78.377) Epoch: [56][1060/11272] Time 0.841 (0.801) Data 0.001 (0.004) Loss 2.0183 (2.0108) Prec@1 51.250 (48.207) Prec@5 77.500 (78.372) Epoch: [56][1070/11272] Time 0.765 (0.801) Data 0.003 (0.004) Loss 1.5794 (2.0098) Prec@1 59.375 (48.221) Prec@5 85.625 (78.388) Epoch: [56][1080/11272] Time 0.740 (0.801) Data 0.001 (0.004) Loss 2.1095 (2.0093) Prec@1 46.875 (48.228) Prec@5 72.500 (78.389) Epoch: [56][1090/11272] Time 0.863 (0.801) Data 0.002 (0.004) Loss 2.1369 (2.0095) Prec@1 47.500 (48.226) Prec@5 75.625 (78.389) Epoch: [56][1100/11272] Time 0.845 (0.801) Data 0.002 (0.004) Loss 1.7432 (2.0095) Prec@1 51.250 (48.220) Prec@5 85.625 (78.395) Epoch: [56][1110/11272] Time 0.725 (0.801) Data 0.002 (0.004) Loss 1.9071 (2.0089) Prec@1 46.875 (48.236) Prec@5 81.250 (78.412) Epoch: [56][1120/11272] Time 0.738 (0.801) Data 0.002 (0.004) Loss 2.0262 (2.0087) Prec@1 47.500 (48.244) Prec@5 79.375 (78.413) Epoch: [56][1130/11272] Time 0.845 (0.801) Data 0.002 (0.004) Loss 1.9480 (2.0082) Prec@1 48.125 (48.259) Prec@5 81.875 (78.428) Epoch: [56][1140/11272] Time 0.852 (0.801) Data 0.002 (0.004) Loss 2.0923 (2.0085) Prec@1 48.750 (48.248) Prec@5 74.375 (78.415) Epoch: [56][1150/11272] Time 0.741 (0.801) Data 0.002 (0.004) Loss 2.1468 (2.0090) Prec@1 45.000 (48.247) Prec@5 76.250 (78.407) Epoch: [56][1160/11272] Time 0.726 (0.801) Data 0.002 (0.004) Loss 2.1605 (2.0083) Prec@1 43.125 (48.255) Prec@5 73.125 (78.415) Epoch: [56][1170/11272] Time 0.856 (0.800) Data 0.001 (0.004) Loss 2.1159 (2.0086) Prec@1 45.625 (48.241) Prec@5 76.875 (78.423) Epoch: [56][1180/11272] Time 0.871 (0.801) Data 0.002 (0.004) Loss 1.9058 (2.0088) Prec@1 50.000 (48.229) Prec@5 80.000 (78.412) Epoch: [56][1190/11272] Time 0.746 (0.801) Data 0.002 (0.004) Loss 1.9406 (2.0088) Prec@1 48.125 (48.226) Prec@5 77.500 (78.409) Epoch: [56][1200/11272] Time 0.871 (0.801) Data 0.002 (0.004) Loss 1.9492 (2.0085) Prec@1 51.250 (48.230) Prec@5 79.375 (78.416) Epoch: [56][1210/11272] Time 0.843 (0.801) Data 0.002 (0.004) Loss 1.9204 (2.0086) Prec@1 52.500 (48.224) Prec@5 80.000 (78.417) Epoch: [56][1220/11272] Time 0.727 (0.800) Data 0.001 (0.004) Loss 1.8564 (2.0085) Prec@1 53.750 (48.222) Prec@5 82.500 (78.420) Epoch: [56][1230/11272] Time 0.765 (0.801) Data 0.001 (0.004) Loss 1.9960 (2.0085) Prec@1 48.125 (48.215) Prec@5 76.875 (78.424) Epoch: [56][1240/11272] Time 0.844 (0.801) Data 0.002 (0.004) Loss 1.9502 (2.0081) Prec@1 43.750 (48.213) Prec@5 77.500 (78.430) Epoch: [56][1250/11272] Time 0.876 (0.801) Data 0.002 (0.004) Loss 2.0327 (2.0085) Prec@1 44.375 (48.201) Prec@5 76.875 (78.420) Epoch: [56][1260/11272] Time 0.782 (0.801) Data 0.002 (0.004) Loss 2.1684 (2.0085) Prec@1 43.125 (48.208) Prec@5 77.500 (78.420) Epoch: [56][1270/11272] Time 0.725 (0.801) Data 0.002 (0.004) Loss 1.9274 (2.0082) Prec@1 44.375 (48.203) Prec@5 77.500 (78.428) Epoch: [56][1280/11272] Time 0.859 (0.801) Data 0.002 (0.004) Loss 1.8478 (2.0083) Prec@1 48.750 (48.202) Prec@5 84.375 (78.437) Epoch: [56][1290/11272] Time 0.863 (0.801) Data 0.002 (0.004) Loss 1.8172 (2.0079) Prec@1 52.500 (48.202) Prec@5 82.500 (78.449) Epoch: [56][1300/11272] Time 0.741 (0.800) Data 0.002 (0.004) Loss 2.3320 (2.0078) Prec@1 43.750 (48.210) Prec@5 74.375 (78.447) Epoch: [56][1310/11272] Time 0.733 (0.801) Data 0.001 (0.004) Loss 2.0793 (2.0082) Prec@1 48.750 (48.206) Prec@5 80.000 (78.445) Epoch: [56][1320/11272] Time 0.842 (0.801) Data 0.002 (0.004) Loss 1.9253 (2.0077) Prec@1 48.750 (48.222) Prec@5 81.875 (78.452) Epoch: [56][1330/11272] Time 0.728 (0.800) Data 0.003 (0.004) Loss 2.1444 (2.0077) Prec@1 46.250 (48.222) Prec@5 73.125 (78.443) Epoch: [56][1340/11272] Time 0.714 (0.800) Data 0.001 (0.004) Loss 1.9711 (2.0074) Prec@1 47.500 (48.237) Prec@5 78.125 (78.448) Epoch: [56][1350/11272] Time 0.824 (0.800) Data 0.001 (0.004) Loss 2.0469 (2.0074) Prec@1 48.750 (48.240) Prec@5 77.500 (78.444) Epoch: [56][1360/11272] Time 0.858 (0.800) Data 0.002 (0.004) Loss 1.8612 (2.0070) Prec@1 50.000 (48.255) Prec@5 80.625 (78.451) Epoch: [56][1370/11272] Time 0.742 (0.800) Data 0.002 (0.004) Loss 1.9696 (2.0073) Prec@1 46.875 (48.246) Prec@5 80.000 (78.444) Epoch: [56][1380/11272] Time 0.746 (0.800) Data 0.002 (0.004) Loss 1.9963 (2.0072) Prec@1 47.500 (48.253) Prec@5 76.875 (78.444) Epoch: [56][1390/11272] Time 0.835 (0.800) Data 0.001 (0.004) Loss 2.0480 (2.0074) Prec@1 48.750 (48.248) Prec@5 79.375 (78.446) Epoch: [56][1400/11272] Time 0.840 (0.800) Data 0.001 (0.004) Loss 1.9381 (2.0071) Prec@1 50.000 (48.249) Prec@5 78.125 (78.452) Epoch: [56][1410/11272] Time 0.731 (0.800) Data 0.001 (0.004) Loss 1.9270 (2.0070) Prec@1 55.000 (48.264) Prec@5 77.500 (78.447) Epoch: [56][1420/11272] Time 0.727 (0.800) Data 0.001 (0.004) Loss 2.0698 (2.0072) Prec@1 46.250 (48.268) Prec@5 78.125 (78.441) Epoch: [56][1430/11272] Time 0.858 (0.800) Data 0.002 (0.004) Loss 1.7207 (2.0063) Prec@1 56.875 (48.287) Prec@5 81.875 (78.444) Epoch: [56][1440/11272] Time 0.848 (0.800) Data 0.002 (0.004) Loss 1.8039 (2.0062) Prec@1 53.750 (48.289) Prec@5 80.000 (78.447) Epoch: [56][1450/11272] Time 0.724 (0.800) Data 0.001 (0.004) Loss 2.0621 (2.0062) Prec@1 45.000 (48.287) Prec@5 81.250 (78.445) Epoch: [56][1460/11272] Time 0.891 (0.800) Data 0.001 (0.004) Loss 1.7583 (2.0059) Prec@1 56.250 (48.290) Prec@5 83.125 (78.452) Epoch: [56][1470/11272] Time 0.845 (0.800) Data 0.001 (0.004) Loss 1.6569 (2.0057) Prec@1 58.750 (48.298) Prec@5 86.875 (78.455) Epoch: [56][1480/11272] Time 0.751 (0.800) Data 0.001 (0.004) Loss 2.2387 (2.0057) Prec@1 48.750 (48.300) Prec@5 71.875 (78.458) Epoch: [56][1490/11272] Time 0.741 (0.800) Data 0.001 (0.004) Loss 2.0174 (2.0051) Prec@1 48.750 (48.303) Prec@5 80.000 (78.471) Epoch: [56][1500/11272] Time 0.848 (0.800) Data 0.002 (0.003) Loss 1.8633 (2.0056) Prec@1 50.000 (48.285) Prec@5 81.875 (78.461) Epoch: [56][1510/11272] Time 0.814 (0.800) Data 0.001 (0.003) Loss 1.8396 (2.0051) Prec@1 49.375 (48.297) Prec@5 78.125 (78.468) Epoch: [56][1520/11272] Time 0.752 (0.800) Data 0.002 (0.003) Loss 1.7992 (2.0051) Prec@1 50.000 (48.300) Prec@5 83.125 (78.466) Epoch: [56][1530/11272] Time 0.725 (0.800) Data 0.001 (0.003) Loss 2.1800 (2.0050) Prec@1 44.375 (48.311) Prec@5 76.250 (78.467) Epoch: [56][1540/11272] Time 0.864 (0.800) Data 0.002 (0.003) Loss 2.0720 (2.0056) Prec@1 48.750 (48.295) Prec@5 78.750 (78.460) Epoch: [56][1550/11272] Time 0.820 (0.800) Data 0.001 (0.003) Loss 1.8689 (2.0052) Prec@1 53.125 (48.294) Prec@5 79.375 (78.468) Epoch: [56][1560/11272] Time 0.727 (0.800) Data 0.002 (0.003) Loss 1.9612 (2.0054) Prec@1 48.750 (48.276) Prec@5 78.750 (78.469) Epoch: [56][1570/11272] Time 0.729 (0.800) Data 0.002 (0.003) Loss 1.9021 (2.0053) Prec@1 50.000 (48.275) Prec@5 77.500 (78.474) Epoch: [56][1580/11272] Time 0.838 (0.800) Data 0.002 (0.003) Loss 1.9298 (2.0055) Prec@1 49.375 (48.274) Prec@5 78.750 (78.476) Epoch: [56][1590/11272] Time 0.827 (0.800) Data 0.002 (0.003) Loss 1.7969 (2.0060) Prec@1 51.250 (48.260) Prec@5 78.125 (78.465) Epoch: [56][1600/11272] Time 0.751 (0.800) Data 0.002 (0.003) Loss 2.0412 (2.0060) Prec@1 43.750 (48.263) Prec@5 78.125 (78.463) Epoch: [56][1610/11272] Time 0.857 (0.800) Data 0.002 (0.003) Loss 2.0578 (2.0058) Prec@1 42.500 (48.256) Prec@5 78.125 (78.467) Epoch: [56][1620/11272] Time 0.849 (0.800) Data 0.002 (0.003) Loss 2.2463 (2.0054) Prec@1 46.875 (48.267) Prec@5 70.000 (78.475) Epoch: [56][1630/11272] Time 0.721 (0.800) Data 0.001 (0.003) Loss 2.0699 (2.0050) Prec@1 43.750 (48.276) Prec@5 80.000 (78.478) Epoch: [56][1640/11272] Time 0.738 (0.799) Data 0.002 (0.003) Loss 1.8901 (2.0053) Prec@1 48.750 (48.277) Prec@5 78.125 (78.473) Epoch: [56][1650/11272] Time 0.864 (0.800) Data 0.002 (0.003) Loss 1.7484 (2.0054) Prec@1 53.750 (48.266) Prec@5 82.500 (78.469) Epoch: [56][1660/11272] Time 0.832 (0.800) Data 0.001 (0.003) Loss 1.9449 (2.0054) Prec@1 53.750 (48.268) Prec@5 76.250 (78.473) Epoch: [56][1670/11272] Time 0.754 (0.800) Data 0.001 (0.003) Loss 1.8339 (2.0051) Prec@1 54.375 (48.286) Prec@5 79.375 (78.469) Epoch: [56][1680/11272] Time 0.773 (0.799) Data 0.002 (0.003) Loss 1.7955 (2.0050) Prec@1 50.625 (48.283) Prec@5 83.125 (78.472) Epoch: [56][1690/11272] Time 0.858 (0.800) Data 0.002 (0.003) Loss 2.2240 (2.0045) Prec@1 46.250 (48.295) Prec@5 79.375 (78.478) Epoch: [56][1700/11272] Time 0.854 (0.800) Data 0.002 (0.003) Loss 2.3079 (2.0046) Prec@1 42.500 (48.296) Prec@5 75.000 (78.475) Epoch: [56][1710/11272] Time 0.748 (0.799) Data 0.002 (0.003) Loss 1.9707 (2.0042) Prec@1 50.625 (48.295) Prec@5 80.625 (78.487) Epoch: [56][1720/11272] Time 0.738 (0.799) Data 0.001 (0.003) Loss 1.7436 (2.0042) Prec@1 55.000 (48.295) Prec@5 83.750 (78.489) Epoch: [56][1730/11272] Time 0.873 (0.799) Data 0.002 (0.003) Loss 2.0006 (2.0046) Prec@1 45.000 (48.290) Prec@5 78.750 (78.483) Epoch: [56][1740/11272] Time 0.756 (0.799) Data 0.001 (0.003) Loss 2.1930 (2.0046) Prec@1 43.125 (48.292) Prec@5 75.625 (78.488) Epoch: [56][1750/11272] Time 0.750 (0.799) Data 0.002 (0.003) Loss 1.8232 (2.0048) Prec@1 51.250 (48.291) Prec@5 84.375 (78.482) Epoch: [56][1760/11272] Time 0.826 (0.800) Data 0.002 (0.003) Loss 1.8240 (2.0044) Prec@1 51.875 (48.302) Prec@5 78.125 (78.485) Epoch: [56][1770/11272] Time 0.840 (0.800) Data 0.001 (0.003) Loss 2.2970 (2.0047) Prec@1 40.000 (48.291) Prec@5 74.375 (78.480) Epoch: [56][1780/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 2.2180 (2.0047) Prec@1 48.125 (48.294) Prec@5 71.250 (78.476) Epoch: [56][1790/11272] Time 0.741 (0.799) Data 0.002 (0.003) Loss 1.9730 (2.0048) Prec@1 43.750 (48.293) Prec@5 78.750 (78.468) Epoch: [56][1800/11272] Time 0.854 (0.799) Data 0.002 (0.003) Loss 1.7837 (2.0046) Prec@1 50.625 (48.299) Prec@5 83.750 (78.469) Epoch: [56][1810/11272] Time 0.875 (0.799) Data 0.001 (0.003) Loss 2.0332 (2.0047) Prec@1 48.750 (48.296) Prec@5 78.750 (78.464) Epoch: [56][1820/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 1.7305 (2.0047) Prec@1 53.125 (48.301) Prec@5 81.250 (78.467) Epoch: [56][1830/11272] Time 0.749 (0.799) Data 0.002 (0.003) Loss 1.7657 (2.0047) Prec@1 51.250 (48.301) Prec@5 84.375 (78.472) Epoch: [56][1840/11272] Time 0.847 (0.799) Data 0.002 (0.003) Loss 2.0107 (2.0048) Prec@1 43.750 (48.297) Prec@5 76.875 (78.469) Epoch: [56][1850/11272] Time 0.843 (0.799) Data 0.002 (0.003) Loss 1.9612 (2.0053) Prec@1 46.250 (48.287) Prec@5 81.250 (78.464) Epoch: [56][1860/11272] Time 0.737 (0.799) Data 0.002 (0.003) Loss 2.2597 (2.0055) Prec@1 48.750 (48.292) Prec@5 76.250 (78.470) Epoch: [56][1870/11272] Time 0.891 (0.799) Data 0.002 (0.003) Loss 2.0209 (2.0057) Prec@1 45.625 (48.280) Prec@5 76.250 (78.468) Epoch: [56][1880/11272] Time 0.860 (0.799) Data 0.002 (0.003) Loss 2.2272 (2.0055) Prec@1 41.250 (48.279) Prec@5 74.375 (78.474) Epoch: [56][1890/11272] Time 0.752 (0.799) Data 0.001 (0.003) Loss 2.0226 (2.0056) Prec@1 50.000 (48.282) Prec@5 75.625 (78.470) Epoch: [56][1900/11272] Time 0.727 (0.799) Data 0.002 (0.003) Loss 2.0048 (2.0054) Prec@1 46.250 (48.285) Prec@5 75.000 (78.470) Epoch: [56][1910/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 1.9031 (2.0051) Prec@1 50.625 (48.296) Prec@5 84.375 (78.482) Epoch: [56][1920/11272] Time 0.866 (0.799) Data 0.002 (0.003) Loss 2.1066 (2.0052) Prec@1 44.375 (48.290) Prec@5 76.875 (78.485) Epoch: [56][1930/11272] Time 0.733 (0.799) Data 0.002 (0.003) Loss 1.8353 (2.0055) Prec@1 53.125 (48.273) Prec@5 83.750 (78.477) Epoch: [56][1940/11272] Time 0.742 (0.799) Data 0.001 (0.003) Loss 2.1026 (2.0059) Prec@1 45.000 (48.265) Prec@5 74.375 (78.475) Epoch: [56][1950/11272] Time 0.841 (0.799) Data 0.001 (0.003) Loss 2.2053 (2.0056) Prec@1 48.750 (48.270) Prec@5 75.000 (78.481) Epoch: [56][1960/11272] Time 0.851 (0.799) Data 0.002 (0.003) Loss 1.8071 (2.0055) Prec@1 55.625 (48.275) Prec@5 85.000 (78.487) Epoch: [56][1970/11272] Time 0.711 (0.799) Data 0.001 (0.003) Loss 2.0401 (2.0055) Prec@1 46.250 (48.274) Prec@5 79.375 (78.486) Epoch: [56][1980/11272] Time 0.742 (0.799) Data 0.001 (0.003) Loss 1.6734 (2.0055) Prec@1 54.375 (48.273) Prec@5 81.875 (78.480) Epoch: [56][1990/11272] Time 0.850 (0.799) Data 0.002 (0.003) Loss 2.1413 (2.0059) Prec@1 50.000 (48.268) Prec@5 76.250 (78.478) Epoch: [56][2000/11272] Time 0.757 (0.799) Data 0.003 (0.003) Loss 1.9119 (2.0059) Prec@1 50.625 (48.270) Prec@5 80.000 (78.476) Epoch: [56][2010/11272] Time 0.791 (0.799) Data 0.002 (0.003) Loss 1.9238 (2.0060) Prec@1 45.000 (48.259) Prec@5 78.750 (78.476) Epoch: [56][2020/11272] Time 0.828 (0.799) Data 0.002 (0.003) Loss 2.2684 (2.0060) Prec@1 43.750 (48.254) Prec@5 73.750 (78.477) Epoch: [56][2030/11272] Time 0.847 (0.799) Data 0.002 (0.003) Loss 2.1052 (2.0058) Prec@1 46.250 (48.253) Prec@5 80.000 (78.486) Epoch: [56][2040/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 1.9688 (2.0060) Prec@1 45.625 (48.243) Prec@5 77.500 (78.483) Epoch: [56][2050/11272] Time 0.742 (0.799) Data 0.002 (0.003) Loss 1.8741 (2.0062) Prec@1 53.125 (48.235) Prec@5 81.875 (78.482) Epoch: [56][2060/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 2.2244 (2.0062) Prec@1 46.875 (48.236) Prec@5 75.000 (78.482) Epoch: [56][2070/11272] Time 0.842 (0.799) Data 0.002 (0.003) Loss 1.9774 (2.0059) Prec@1 52.500 (48.248) Prec@5 75.625 (78.487) Epoch: [56][2080/11272] Time 0.727 (0.799) Data 0.002 (0.003) Loss 2.0011 (2.0058) Prec@1 46.875 (48.245) Prec@5 79.375 (78.486) Epoch: [56][2090/11272] Time 0.728 (0.799) Data 0.002 (0.003) Loss 1.9363 (2.0059) Prec@1 50.625 (48.242) Prec@5 80.625 (78.485) Epoch: [56][2100/11272] Time 0.851 (0.799) Data 0.001 (0.003) Loss 2.0099 (2.0059) Prec@1 46.875 (48.243) Prec@5 78.125 (78.490) Epoch: [56][2110/11272] Time 0.840 (0.799) Data 0.002 (0.003) Loss 2.0161 (2.0062) Prec@1 47.500 (48.232) Prec@5 80.000 (78.484) Epoch: [56][2120/11272] Time 0.753 (0.799) Data 0.002 (0.003) Loss 1.5970 (2.0063) Prec@1 53.125 (48.224) Prec@5 84.375 (78.485) Epoch: [56][2130/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 2.1667 (2.0063) Prec@1 51.875 (48.230) Prec@5 71.875 (78.483) Epoch: [56][2140/11272] Time 0.836 (0.799) Data 0.002 (0.003) Loss 1.8778 (2.0065) Prec@1 50.000 (48.232) Prec@5 86.250 (78.484) Epoch: [56][2150/11272] Time 0.723 (0.799) Data 0.001 (0.003) Loss 1.6975 (2.0062) Prec@1 56.250 (48.241) Prec@5 83.125 (78.488) Epoch: [56][2160/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 1.8955 (2.0061) Prec@1 51.875 (48.243) Prec@5 77.500 (78.484) Epoch: [56][2170/11272] Time 0.889 (0.799) Data 0.002 (0.003) Loss 1.9911 (2.0064) Prec@1 50.000 (48.234) Prec@5 80.625 (78.479) Epoch: [56][2180/11272] Time 0.837 (0.799) Data 0.002 (0.003) Loss 2.0381 (2.0064) Prec@1 47.500 (48.233) Prec@5 79.375 (78.481) Epoch: [56][2190/11272] Time 0.797 (0.799) Data 0.002 (0.003) Loss 2.2253 (2.0067) Prec@1 40.000 (48.224) Prec@5 75.625 (78.471) Epoch: [56][2200/11272] Time 0.729 (0.799) Data 0.001 (0.003) Loss 1.9496 (2.0066) Prec@1 47.500 (48.223) Prec@5 82.500 (78.475) Epoch: [56][2210/11272] Time 0.893 (0.799) Data 0.002 (0.003) Loss 2.0962 (2.0067) Prec@1 47.500 (48.218) Prec@5 78.750 (78.477) Epoch: [56][2220/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 1.7391 (2.0064) Prec@1 55.000 (48.228) Prec@5 86.250 (78.480) Epoch: [56][2230/11272] Time 0.725 (0.799) Data 0.002 (0.003) Loss 1.9246 (2.0062) Prec@1 47.500 (48.233) Prec@5 78.125 (78.486) Epoch: [56][2240/11272] Time 0.722 (0.799) Data 0.001 (0.003) Loss 1.9319 (2.0062) Prec@1 51.250 (48.232) Prec@5 80.000 (78.485) Epoch: [56][2250/11272] Time 0.866 (0.799) Data 0.002 (0.003) Loss 2.2850 (2.0066) Prec@1 41.875 (48.219) Prec@5 71.250 (78.480) Epoch: [56][2260/11272] Time 0.735 (0.799) Data 0.003 (0.003) Loss 1.9934 (2.0064) Prec@1 48.125 (48.223) Prec@5 80.625 (78.488) Epoch: [56][2270/11272] Time 0.725 (0.799) Data 0.002 (0.003) Loss 2.0373 (2.0062) Prec@1 48.750 (48.224) Prec@5 76.875 (78.494) Epoch: [56][2280/11272] Time 0.831 (0.799) Data 0.002 (0.003) Loss 1.9119 (2.0061) Prec@1 53.750 (48.228) Prec@5 78.750 (78.497) Epoch: [56][2290/11272] Time 0.854 (0.799) Data 0.002 (0.003) Loss 2.1702 (2.0061) Prec@1 43.750 (48.235) Prec@5 76.250 (78.497) Epoch: [56][2300/11272] Time 0.767 (0.799) Data 0.002 (0.003) Loss 1.9993 (2.0062) Prec@1 49.375 (48.238) Prec@5 81.250 (78.497) Epoch: [56][2310/11272] Time 0.735 (0.799) Data 0.001 (0.003) Loss 1.9902 (2.0065) Prec@1 49.375 (48.223) Prec@5 80.625 (78.493) Epoch: [56][2320/11272] Time 0.874 (0.799) Data 0.002 (0.003) Loss 2.0672 (2.0067) Prec@1 46.250 (48.212) Prec@5 78.125 (78.494) Epoch: [56][2330/11272] Time 0.813 (0.799) Data 0.001 (0.003) Loss 1.8156 (2.0067) Prec@1 51.250 (48.218) Prec@5 80.625 (78.493) Epoch: [56][2340/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 2.1502 (2.0068) Prec@1 44.375 (48.219) Prec@5 79.375 (78.493) Epoch: [56][2350/11272] Time 0.723 (0.799) Data 0.001 (0.003) Loss 1.8680 (2.0069) Prec@1 52.500 (48.213) Prec@5 83.750 (78.496) Epoch: [56][2360/11272] Time 0.838 (0.799) Data 0.001 (0.003) Loss 2.2477 (2.0069) Prec@1 40.000 (48.214) Prec@5 73.125 (78.494) Epoch: [56][2370/11272] Time 0.818 (0.799) Data 0.001 (0.003) Loss 1.8475 (2.0067) Prec@1 47.500 (48.218) Prec@5 81.250 (78.494) Epoch: [56][2380/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 1.9669 (2.0064) Prec@1 50.000 (48.225) Prec@5 80.625 (78.500) Epoch: [56][2390/11272] Time 0.852 (0.799) Data 0.002 (0.003) Loss 1.9706 (2.0068) Prec@1 46.875 (48.213) Prec@5 83.750 (78.498) Epoch: [56][2400/11272] Time 0.854 (0.799) Data 0.002 (0.003) Loss 2.1846 (2.0071) Prec@1 46.250 (48.205) Prec@5 73.125 (78.489) Epoch: [56][2410/11272] Time 0.743 (0.799) Data 0.001 (0.003) Loss 1.9225 (2.0073) Prec@1 50.625 (48.203) Prec@5 80.000 (78.492) Epoch: [56][2420/11272] Time 0.709 (0.799) Data 0.001 (0.003) Loss 2.1505 (2.0077) Prec@1 46.875 (48.192) Prec@5 78.125 (78.485) Epoch: [56][2430/11272] Time 0.849 (0.799) Data 0.002 (0.003) Loss 2.1078 (2.0078) Prec@1 47.500 (48.192) Prec@5 76.875 (78.483) Epoch: [56][2440/11272] Time 0.879 (0.799) Data 0.002 (0.003) Loss 1.9875 (2.0078) Prec@1 48.125 (48.196) Prec@5 77.500 (78.485) Epoch: [56][2450/11272] Time 0.735 (0.799) Data 0.002 (0.003) Loss 1.7646 (2.0077) Prec@1 51.250 (48.194) Prec@5 83.125 (78.489) Epoch: [56][2460/11272] Time 0.727 (0.799) Data 0.001 (0.003) Loss 1.9902 (2.0077) Prec@1 47.500 (48.196) Prec@5 83.750 (78.488) Epoch: [56][2470/11272] Time 0.852 (0.799) Data 0.002 (0.003) Loss 2.2165 (2.0078) Prec@1 48.125 (48.193) Prec@5 74.375 (78.488) Epoch: [56][2480/11272] Time 0.881 (0.799) Data 0.002 (0.003) Loss 1.8892 (2.0079) Prec@1 48.125 (48.184) Prec@5 81.875 (78.484) Epoch: [56][2490/11272] Time 0.717 (0.799) Data 0.002 (0.003) Loss 1.6511 (2.0076) Prec@1 53.125 (48.193) Prec@5 85.625 (78.487) Epoch: [56][2500/11272] Time 0.738 (0.799) Data 0.002 (0.003) Loss 1.9747 (2.0078) Prec@1 48.125 (48.188) Prec@5 81.250 (78.487) Epoch: [56][2510/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 2.0896 (2.0079) Prec@1 49.375 (48.186) Prec@5 76.875 (78.483) Epoch: [56][2520/11272] Time 0.838 (0.799) Data 0.002 (0.003) Loss 1.9655 (2.0076) Prec@1 45.625 (48.186) Prec@5 78.750 (78.487) Epoch: [56][2530/11272] Time 0.740 (0.799) Data 0.002 (0.003) Loss 1.7762 (2.0072) Prec@1 58.750 (48.196) Prec@5 79.375 (78.490) Epoch: [56][2540/11272] Time 0.852 (0.799) Data 0.002 (0.003) Loss 2.1171 (2.0072) Prec@1 45.625 (48.197) Prec@5 75.000 (78.494) Epoch: [56][2550/11272] Time 0.857 (0.799) Data 0.002 (0.003) Loss 1.5596 (2.0071) Prec@1 57.500 (48.200) Prec@5 83.750 (78.492) Epoch: [56][2560/11272] Time 0.734 (0.798) Data 0.002 (0.003) Loss 1.9766 (2.0070) Prec@1 46.250 (48.202) Prec@5 80.000 (78.493) Epoch: [56][2570/11272] Time 0.730 (0.798) Data 0.002 (0.003) Loss 2.1187 (2.0067) Prec@1 41.250 (48.199) Prec@5 76.875 (78.503) Epoch: [56][2580/11272] Time 0.857 (0.799) Data 0.002 (0.003) Loss 2.0931 (2.0067) Prec@1 41.250 (48.197) Prec@5 76.875 (78.503) Epoch: [56][2590/11272] Time 0.844 (0.799) Data 0.002 (0.003) Loss 1.5923 (2.0063) Prec@1 60.625 (48.202) Prec@5 84.375 (78.510) Epoch: [56][2600/11272] Time 0.716 (0.798) Data 0.001 (0.003) Loss 1.9001 (2.0061) Prec@1 50.625 (48.208) Prec@5 80.625 (78.514) Epoch: [56][2610/11272] Time 0.720 (0.798) Data 0.002 (0.003) Loss 2.0888 (2.0063) Prec@1 45.000 (48.204) Prec@5 75.625 (78.513) Epoch: [56][2620/11272] Time 0.872 (0.798) Data 0.002 (0.003) Loss 2.1688 (2.0065) Prec@1 45.625 (48.200) Prec@5 76.250 (78.511) Epoch: [56][2630/11272] Time 0.870 (0.798) Data 0.002 (0.003) Loss 1.8387 (2.0063) Prec@1 48.750 (48.200) Prec@5 81.250 (78.517) Epoch: [56][2640/11272] Time 0.774 (0.798) Data 0.002 (0.003) Loss 2.2168 (2.0066) Prec@1 43.125 (48.193) Prec@5 75.625 (78.511) Epoch: [56][2650/11272] Time 0.740 (0.798) Data 0.001 (0.003) Loss 2.2129 (2.0068) Prec@1 40.000 (48.188) Prec@5 76.250 (78.510) Epoch: [56][2660/11272] Time 0.853 (0.798) Data 0.002 (0.003) Loss 2.1931 (2.0070) Prec@1 43.750 (48.182) Prec@5 75.000 (78.506) Epoch: [56][2670/11272] Time 0.742 (0.798) Data 0.001 (0.003) Loss 2.1181 (2.0072) Prec@1 40.625 (48.173) Prec@5 78.750 (78.503) Epoch: [56][2680/11272] Time 0.710 (0.798) Data 0.002 (0.003) Loss 1.9797 (2.0071) Prec@1 47.500 (48.173) Prec@5 75.625 (78.503) Epoch: [56][2690/11272] Time 0.871 (0.798) Data 0.002 (0.003) Loss 1.8344 (2.0072) Prec@1 51.250 (48.174) Prec@5 84.375 (78.499) Epoch: [56][2700/11272] Time 0.831 (0.798) Data 0.002 (0.003) Loss 2.1173 (2.0072) Prec@1 46.250 (48.173) Prec@5 73.750 (78.492) Epoch: [56][2710/11272] Time 0.754 (0.798) Data 0.002 (0.003) Loss 1.8108 (2.0073) Prec@1 50.000 (48.172) Prec@5 81.875 (78.492) Epoch: [56][2720/11272] Time 0.736 (0.799) Data 0.001 (0.003) Loss 1.9944 (2.0073) Prec@1 48.750 (48.171) Prec@5 80.000 (78.492) Epoch: [56][2730/11272] Time 0.875 (0.799) Data 0.002 (0.003) Loss 2.1132 (2.0074) Prec@1 48.125 (48.170) Prec@5 77.500 (78.488) Epoch: [56][2740/11272] Time 0.850 (0.799) Data 0.001 (0.003) Loss 1.8860 (2.0075) Prec@1 46.250 (48.170) Prec@5 85.000 (78.490) Epoch: [56][2750/11272] Time 0.738 (0.799) Data 0.001 (0.003) Loss 2.1164 (2.0078) Prec@1 49.375 (48.164) Prec@5 77.500 (78.485) Epoch: [56][2760/11272] Time 0.743 (0.799) Data 0.002 (0.003) Loss 1.9826 (2.0080) Prec@1 47.500 (48.159) Prec@5 78.125 (78.483) Epoch: [56][2770/11272] Time 0.826 (0.799) Data 0.001 (0.003) Loss 2.4082 (2.0085) Prec@1 38.125 (48.150) Prec@5 73.125 (78.473) Epoch: [56][2780/11272] Time 0.866 (0.799) Data 0.001 (0.003) Loss 1.9629 (2.0083) Prec@1 49.375 (48.150) Prec@5 76.250 (78.476) Epoch: [56][2790/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 2.1771 (2.0084) Prec@1 43.750 (48.150) Prec@5 73.750 (78.473) Epoch: [56][2800/11272] Time 0.844 (0.799) Data 0.002 (0.003) Loss 1.9007 (2.0085) Prec@1 49.375 (48.145) Prec@5 79.375 (78.475) Epoch: [56][2810/11272] Time 0.841 (0.799) Data 0.001 (0.003) Loss 2.1073 (2.0085) Prec@1 46.875 (48.142) Prec@5 76.250 (78.476) Epoch: [56][2820/11272] Time 0.745 (0.799) Data 0.001 (0.003) Loss 1.7312 (2.0086) Prec@1 53.750 (48.142) Prec@5 81.875 (78.474) Epoch: [56][2830/11272] Time 0.748 (0.799) Data 0.001 (0.003) Loss 2.4244 (2.0089) Prec@1 42.500 (48.136) Prec@5 71.250 (78.471) Epoch: [56][2840/11272] Time 0.902 (0.799) Data 0.004 (0.003) Loss 2.1637 (2.0090) Prec@1 50.625 (48.137) Prec@5 72.500 (78.470) Epoch: [56][2850/11272] Time 0.829 (0.799) Data 0.002 (0.003) Loss 1.9164 (2.0088) Prec@1 53.750 (48.143) Prec@5 79.375 (78.472) Epoch: [56][2860/11272] Time 0.775 (0.799) Data 0.002 (0.003) Loss 1.9868 (2.0089) Prec@1 49.375 (48.140) Prec@5 77.500 (78.464) Epoch: [56][2870/11272] Time 0.744 (0.799) Data 0.002 (0.003) Loss 2.0550 (2.0091) Prec@1 46.875 (48.135) Prec@5 78.125 (78.464) Epoch: [56][2880/11272] Time 0.859 (0.799) Data 0.002 (0.003) Loss 1.9586 (2.0092) Prec@1 47.500 (48.129) Prec@5 80.625 (78.463) Epoch: [56][2890/11272] Time 0.853 (0.799) Data 0.002 (0.003) Loss 2.1686 (2.0095) Prec@1 45.000 (48.120) Prec@5 75.625 (78.456) Epoch: [56][2900/11272] Time 0.748 (0.799) Data 0.002 (0.003) Loss 2.0346 (2.0093) Prec@1 48.125 (48.123) Prec@5 75.625 (78.459) Epoch: [56][2910/11272] Time 0.738 (0.799) Data 0.002 (0.003) Loss 1.8778 (2.0095) Prec@1 48.750 (48.112) Prec@5 82.500 (78.457) Epoch: [56][2920/11272] Time 0.849 (0.799) Data 0.002 (0.003) Loss 2.0687 (2.0093) Prec@1 46.250 (48.121) Prec@5 77.500 (78.461) Epoch: [56][2930/11272] Time 0.749 (0.799) Data 0.003 (0.003) Loss 2.2834 (2.0096) Prec@1 43.750 (48.110) Prec@5 75.625 (78.459) Epoch: [56][2940/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 2.3265 (2.0096) Prec@1 43.125 (48.105) Prec@5 73.750 (78.460) Epoch: [56][2950/11272] Time 0.860 (0.799) Data 0.002 (0.003) Loss 1.7676 (2.0094) Prec@1 50.625 (48.109) Prec@5 85.625 (78.465) Epoch: [56][2960/11272] Time 0.901 (0.799) Data 0.002 (0.003) Loss 2.1806 (2.0096) Prec@1 41.875 (48.104) Prec@5 76.250 (78.461) Epoch: [56][2970/11272] Time 0.733 (0.799) Data 0.002 (0.003) Loss 2.0818 (2.0097) Prec@1 49.375 (48.104) Prec@5 76.875 (78.458) Epoch: [56][2980/11272] Time 0.738 (0.799) Data 0.002 (0.003) Loss 1.7852 (2.0098) Prec@1 47.500 (48.094) Prec@5 82.500 (78.454) Epoch: [56][2990/11272] Time 0.801 (0.799) Data 0.001 (0.003) Loss 1.8976 (2.0098) Prec@1 47.500 (48.091) Prec@5 78.750 (78.455) Epoch: [56][3000/11272] Time 0.863 (0.799) Data 0.001 (0.003) Loss 2.3337 (2.0098) Prec@1 43.125 (48.087) Prec@5 68.125 (78.455) Epoch: [56][3010/11272] Time 0.749 (0.798) Data 0.001 (0.003) Loss 2.1981 (2.0099) Prec@1 46.250 (48.084) Prec@5 76.875 (78.455) Epoch: [56][3020/11272] Time 0.743 (0.798) Data 0.001 (0.003) Loss 1.8817 (2.0100) Prec@1 53.125 (48.085) Prec@5 80.625 (78.454) Epoch: [56][3030/11272] Time 0.836 (0.798) Data 0.002 (0.003) Loss 2.1735 (2.0101) Prec@1 47.500 (48.086) Prec@5 75.625 (78.454) Epoch: [56][3040/11272] Time 0.862 (0.798) Data 0.001 (0.003) Loss 2.0602 (2.0100) Prec@1 49.375 (48.085) Prec@5 75.625 (78.454) Epoch: [56][3050/11272] Time 0.725 (0.798) Data 0.002 (0.003) Loss 2.0282 (2.0102) Prec@1 46.875 (48.083) Prec@5 77.500 (78.449) Epoch: [56][3060/11272] Time 0.811 (0.798) Data 0.001 (0.003) Loss 2.1401 (2.0102) Prec@1 44.375 (48.081) Prec@5 74.375 (78.446) Epoch: [56][3070/11272] Time 0.830 (0.798) Data 0.002 (0.003) Loss 2.0697 (2.0104) Prec@1 44.375 (48.078) Prec@5 77.500 (78.446) Epoch: [56][3080/11272] Time 0.721 (0.798) Data 0.001 (0.003) Loss 2.0367 (2.0107) Prec@1 48.750 (48.072) Prec@5 73.125 (78.437) Epoch: [56][3090/11272] Time 0.730 (0.798) Data 0.002 (0.003) Loss 1.8795 (2.0107) Prec@1 54.375 (48.070) Prec@5 81.250 (78.440) Epoch: [56][3100/11272] Time 0.813 (0.798) Data 0.001 (0.003) Loss 2.0348 (2.0106) Prec@1 48.750 (48.073) Prec@5 75.000 (78.441) Epoch: [56][3110/11272] Time 0.847 (0.798) Data 0.002 (0.003) Loss 2.2911 (2.0107) Prec@1 43.125 (48.069) Prec@5 71.875 (78.437) Epoch: [56][3120/11272] Time 0.729 (0.798) Data 0.001 (0.003) Loss 2.0365 (2.0108) Prec@1 50.000 (48.068) Prec@5 77.500 (78.434) Epoch: [56][3130/11272] Time 0.729 (0.798) Data 0.001 (0.003) Loss 2.2408 (2.0108) Prec@1 45.625 (48.066) Prec@5 75.625 (78.437) Epoch: [56][3140/11272] Time 0.841 (0.798) Data 0.001 (0.003) Loss 1.8985 (2.0109) Prec@1 52.500 (48.063) Prec@5 77.500 (78.437) Epoch: [56][3150/11272] Time 0.808 (0.798) Data 0.001 (0.003) Loss 1.9369 (2.0108) Prec@1 51.250 (48.069) Prec@5 78.750 (78.437) Epoch: [56][3160/11272] Time 0.742 (0.798) Data 0.002 (0.003) Loss 1.9795 (2.0108) Prec@1 51.875 (48.069) Prec@5 78.750 (78.436) Epoch: [56][3170/11272] Time 0.723 (0.798) Data 0.002 (0.003) Loss 2.0591 (2.0109) Prec@1 48.125 (48.070) Prec@5 73.750 (78.432) Epoch: [56][3180/11272] Time 0.896 (0.798) Data 0.002 (0.003) Loss 2.0890 (2.0110) Prec@1 46.875 (48.066) Prec@5 78.125 (78.432) Epoch: [56][3190/11272] Time 0.741 (0.798) Data 0.003 (0.003) Loss 1.9999 (2.0112) Prec@1 46.875 (48.066) Prec@5 80.625 (78.430) Epoch: [56][3200/11272] Time 0.714 (0.798) Data 0.002 (0.003) Loss 2.0154 (2.0110) Prec@1 47.500 (48.068) Prec@5 79.375 (78.434) Epoch: [56][3210/11272] Time 0.871 (0.798) Data 0.002 (0.002) Loss 2.0076 (2.0109) Prec@1 50.000 (48.069) Prec@5 78.750 (78.436) Epoch: [56][3220/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 1.9746 (2.0110) Prec@1 46.875 (48.064) Prec@5 78.750 (78.438) Epoch: [56][3230/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.9069 (2.0111) Prec@1 51.875 (48.060) Prec@5 78.750 (78.434) Epoch: [56][3240/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.2498 (2.0114) Prec@1 45.625 (48.057) Prec@5 76.250 (78.429) Epoch: [56][3250/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 2.0327 (2.0113) Prec@1 48.125 (48.060) Prec@5 80.625 (78.433) Epoch: [56][3260/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 1.8593 (2.0113) Prec@1 48.750 (48.056) Prec@5 81.875 (78.434) Epoch: [56][3270/11272] Time 0.768 (0.798) Data 0.001 (0.002) Loss 2.0949 (2.0114) Prec@1 43.125 (48.054) Prec@5 75.625 (78.431) Epoch: [56][3280/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 1.5477 (2.0116) Prec@1 59.375 (48.048) Prec@5 85.000 (78.429) Epoch: [56][3290/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.6265 (2.0114) Prec@1 56.250 (48.051) Prec@5 86.250 (78.432) Epoch: [56][3300/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.0449 (2.0116) Prec@1 46.875 (48.050) Prec@5 78.125 (78.428) Epoch: [56][3310/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.2405 (2.0119) Prec@1 41.875 (48.041) Prec@5 78.125 (78.423) Epoch: [56][3320/11272] Time 0.800 (0.798) Data 0.001 (0.002) Loss 2.2204 (2.0118) Prec@1 43.750 (48.043) Prec@5 74.375 (78.426) Epoch: [56][3330/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 1.9915 (2.0119) Prec@1 49.375 (48.043) Prec@5 78.750 (78.424) Epoch: [56][3340/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 2.0398 (2.0118) Prec@1 41.875 (48.044) Prec@5 76.875 (78.430) Epoch: [56][3350/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 2.0044 (2.0119) Prec@1 51.250 (48.046) Prec@5 80.000 (78.422) Epoch: [56][3360/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.9754 (2.0119) Prec@1 48.125 (48.048) Prec@5 78.125 (78.420) Epoch: [56][3370/11272] Time 0.870 (0.798) Data 0.001 (0.002) Loss 2.0794 (2.0122) Prec@1 45.000 (48.041) Prec@5 75.000 (78.416) Epoch: [56][3380/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.0377 (2.0120) Prec@1 46.875 (48.049) Prec@5 80.000 (78.416) Epoch: [56][3390/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 1.8025 (2.0118) Prec@1 52.500 (48.051) Prec@5 81.250 (78.417) Epoch: [56][3400/11272] Time 0.817 (0.798) Data 0.002 (0.002) Loss 1.9919 (2.0116) Prec@1 47.500 (48.057) Prec@5 76.875 (78.419) Epoch: [56][3410/11272] Time 0.924 (0.798) Data 0.001 (0.002) Loss 2.0200 (2.0116) Prec@1 47.500 (48.061) Prec@5 76.875 (78.421) Epoch: [56][3420/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.1392 (2.0119) Prec@1 41.250 (48.055) Prec@5 78.125 (78.420) Epoch: [56][3430/11272] Time 0.765 (0.798) Data 0.002 (0.002) Loss 1.8947 (2.0118) Prec@1 47.500 (48.057) Prec@5 83.125 (78.423) Epoch: [56][3440/11272] Time 0.904 (0.798) Data 0.004 (0.002) Loss 2.0892 (2.0120) Prec@1 49.375 (48.053) Prec@5 75.625 (78.416) Epoch: [56][3450/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.0662 (2.0118) Prec@1 46.250 (48.057) Prec@5 78.125 (78.417) Epoch: [56][3460/11272] Time 0.804 (0.798) Data 0.002 (0.002) Loss 2.1793 (2.0119) Prec@1 46.875 (48.059) Prec@5 76.250 (78.416) Epoch: [56][3470/11272] Time 0.859 (0.798) Data 0.001 (0.002) Loss 2.0382 (2.0121) Prec@1 43.750 (48.051) Prec@5 77.500 (78.410) Epoch: [56][3480/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 1.9228 (2.0121) Prec@1 51.250 (48.052) Prec@5 81.250 (78.411) Epoch: [56][3490/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.8499 (2.0121) Prec@1 51.250 (48.051) Prec@5 81.250 (78.411) Epoch: [56][3500/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 1.9991 (2.0120) Prec@1 50.000 (48.052) Prec@5 80.000 (78.415) Epoch: [56][3510/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 1.8069 (2.0119) Prec@1 52.500 (48.059) Prec@5 82.500 (78.416) Epoch: [56][3520/11272] Time 0.874 (0.798) Data 0.002 (0.002) Loss 2.1623 (2.0121) Prec@1 49.375 (48.055) Prec@5 78.125 (78.414) Epoch: [56][3530/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 2.2398 (2.0124) Prec@1 43.125 (48.046) Prec@5 73.125 (78.410) Epoch: [56][3540/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 1.9428 (2.0123) Prec@1 47.500 (48.048) Prec@5 78.750 (78.411) Epoch: [56][3550/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 2.0909 (2.0123) Prec@1 45.625 (48.051) Prec@5 80.000 (78.413) Epoch: [56][3560/11272] Time 0.844 (0.798) Data 0.001 (0.002) Loss 1.8685 (2.0122) Prec@1 50.625 (48.052) Prec@5 82.500 (78.414) Epoch: [56][3570/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 1.8690 (2.0122) Prec@1 49.375 (48.048) Prec@5 79.375 (78.417) Epoch: [56][3580/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 2.1012 (2.0122) Prec@1 48.750 (48.048) Prec@5 77.500 (78.416) Epoch: [56][3590/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 2.0433 (2.0121) Prec@1 46.250 (48.052) Prec@5 77.500 (78.417) Epoch: [56][3600/11272] Time 0.760 (0.798) Data 0.001 (0.002) Loss 2.1552 (2.0121) Prec@1 53.125 (48.055) Prec@5 75.000 (78.418) Epoch: [56][3610/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 1.9578 (2.0121) Prec@1 43.125 (48.055) Prec@5 79.375 (78.419) Epoch: [56][3620/11272] Time 0.830 (0.798) Data 0.001 (0.002) Loss 1.9552 (2.0121) Prec@1 44.375 (48.056) Prec@5 78.750 (78.417) Epoch: [56][3630/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.8566 (2.0121) Prec@1 53.125 (48.055) Prec@5 81.250 (78.418) Epoch: [56][3640/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 2.0513 (2.0119) Prec@1 50.000 (48.060) Prec@5 79.375 (78.423) Epoch: [56][3650/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.3106 (2.0120) Prec@1 43.125 (48.055) Prec@5 77.500 (78.421) Epoch: [56][3660/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 2.1612 (2.0122) Prec@1 42.500 (48.051) Prec@5 78.125 (78.420) Epoch: [56][3670/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 1.8637 (2.0124) Prec@1 50.000 (48.050) Prec@5 80.625 (78.419) Epoch: [56][3680/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 1.9377 (2.0123) Prec@1 46.250 (48.053) Prec@5 84.375 (78.419) Epoch: [56][3690/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.9213 (2.0124) Prec@1 48.125 (48.052) Prec@5 80.000 (78.417) Epoch: [56][3700/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 1.7650 (2.0124) Prec@1 50.625 (48.056) Prec@5 85.625 (78.417) Epoch: [56][3710/11272] Time 0.858 (0.798) Data 0.003 (0.002) Loss 2.0446 (2.0123) Prec@1 46.875 (48.055) Prec@5 77.500 (78.418) Epoch: [56][3720/11272] Time 0.759 (0.798) Data 0.001 (0.002) Loss 2.3874 (2.0125) Prec@1 38.750 (48.052) Prec@5 71.250 (78.413) Epoch: [56][3730/11272] Time 0.793 (0.798) Data 0.001 (0.002) Loss 1.8154 (2.0124) Prec@1 52.500 (48.054) Prec@5 79.375 (78.411) Epoch: [56][3740/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 1.8245 (2.0122) Prec@1 56.250 (48.057) Prec@5 83.750 (78.413) Epoch: [56][3750/11272] Time 0.726 (0.798) Data 0.001 (0.002) Loss 2.1495 (2.0123) Prec@1 49.375 (48.061) Prec@5 72.500 (78.412) Epoch: [56][3760/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 1.8161 (2.0123) Prec@1 49.375 (48.060) Prec@5 82.500 (78.406) Epoch: [56][3770/11272] Time 0.858 (0.798) Data 0.001 (0.002) Loss 2.0305 (2.0123) Prec@1 44.375 (48.063) Prec@5 77.500 (78.403) Epoch: [56][3780/11272] Time 0.912 (0.798) Data 0.002 (0.002) Loss 2.0316 (2.0122) Prec@1 46.250 (48.066) Prec@5 80.625 (78.403) Epoch: [56][3790/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 2.2618 (2.0122) Prec@1 45.000 (48.065) Prec@5 73.750 (78.401) Epoch: [56][3800/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.9135 (2.0121) Prec@1 55.000 (48.071) Prec@5 80.000 (78.401) Epoch: [56][3810/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 2.0881 (2.0124) Prec@1 45.000 (48.065) Prec@5 73.750 (78.396) Epoch: [56][3820/11272] Time 0.881 (0.798) Data 0.002 (0.002) Loss 2.0911 (2.0123) Prec@1 51.875 (48.066) Prec@5 77.500 (78.396) Epoch: [56][3830/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 2.3008 (2.0122) Prec@1 41.250 (48.066) Prec@5 73.750 (78.396) Epoch: [56][3840/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.0589 (2.0123) Prec@1 45.000 (48.064) Prec@5 78.125 (78.391) Epoch: [56][3850/11272] Time 0.886 (0.798) Data 0.002 (0.002) Loss 2.1585 (2.0125) Prec@1 45.625 (48.061) Prec@5 78.750 (78.387) Epoch: [56][3860/11272] Time 0.746 (0.798) Data 0.003 (0.002) Loss 1.7283 (2.0122) Prec@1 52.500 (48.066) Prec@5 85.000 (78.392) Epoch: [56][3870/11272] Time 0.776 (0.798) Data 0.002 (0.002) Loss 2.0064 (2.0124) Prec@1 48.125 (48.060) Prec@5 76.875 (78.387) Epoch: [56][3880/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 1.9518 (2.0124) Prec@1 47.500 (48.059) Prec@5 79.375 (78.383) Epoch: [56][3890/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.3153 (2.0126) Prec@1 41.875 (48.053) Prec@5 72.500 (78.382) Epoch: [56][3900/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.4850 (2.0127) Prec@1 38.750 (48.046) Prec@5 71.875 (78.379) Epoch: [56][3910/11272] Time 0.764 (0.798) Data 0.002 (0.002) Loss 1.9840 (2.0128) Prec@1 46.250 (48.042) Prec@5 80.000 (78.379) Epoch: [56][3920/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.2366 (2.0129) Prec@1 43.750 (48.036) Prec@5 75.000 (78.379) Epoch: [56][3930/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.9482 (2.0129) Prec@1 43.750 (48.032) Prec@5 80.625 (78.380) Epoch: [56][3940/11272] Time 0.721 (0.798) Data 0.001 (0.002) Loss 2.2385 (2.0128) Prec@1 39.375 (48.032) Prec@5 75.000 (78.380) Epoch: [56][3950/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.9117 (2.0128) Prec@1 51.250 (48.032) Prec@5 84.375 (78.379) Epoch: [56][3960/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.9604 (2.0127) Prec@1 46.250 (48.035) Prec@5 80.000 (78.383) Epoch: [56][3970/11272] Time 0.857 (0.798) Data 0.001 (0.002) Loss 1.9907 (2.0126) Prec@1 48.750 (48.039) Prec@5 76.875 (78.384) Epoch: [56][3980/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.2163 (2.0127) Prec@1 42.500 (48.038) Prec@5 76.875 (78.382) Epoch: [56][3990/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.8988 (2.0127) Prec@1 47.500 (48.038) Prec@5 83.125 (78.383) Epoch: [56][4000/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.7607 (2.0127) Prec@1 56.250 (48.041) Prec@5 85.000 (78.383) Epoch: [56][4010/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.0384 (2.0127) Prec@1 48.750 (48.041) Prec@5 76.250 (78.385) Epoch: [56][4020/11272] Time 0.772 (0.798) Data 0.002 (0.002) Loss 1.9785 (2.0126) Prec@1 47.500 (48.040) Prec@5 78.125 (78.388) Epoch: [56][4030/11272] Time 0.884 (0.798) Data 0.001 (0.002) Loss 1.7121 (2.0125) Prec@1 53.750 (48.043) Prec@5 83.125 (78.390) Epoch: [56][4040/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.8561 (2.0126) Prec@1 48.750 (48.043) Prec@5 79.375 (78.387) Epoch: [56][4050/11272] Time 0.714 (0.798) Data 0.001 (0.002) Loss 1.9629 (2.0124) Prec@1 53.750 (48.044) Prec@5 79.375 (78.393) Epoch: [56][4060/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.9102 (2.0123) Prec@1 52.500 (48.049) Prec@5 79.375 (78.396) Epoch: [56][4070/11272] Time 0.885 (0.798) Data 0.002 (0.002) Loss 2.0796 (2.0124) Prec@1 46.875 (48.045) Prec@5 78.750 (78.392) Epoch: [56][4080/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.0846 (2.0124) Prec@1 45.000 (48.046) Prec@5 76.250 (78.393) Epoch: [56][4090/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 2.0888 (2.0124) Prec@1 46.875 (48.048) Prec@5 78.750 (78.394) Epoch: [56][4100/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.2033 (2.0127) Prec@1 46.250 (48.040) Prec@5 75.625 (78.389) Epoch: [56][4110/11272] Time 0.911 (0.798) Data 0.002 (0.002) Loss 2.1173 (2.0128) Prec@1 42.500 (48.036) Prec@5 76.875 (78.387) Epoch: [56][4120/11272] Time 0.749 (0.798) Data 0.003 (0.002) Loss 2.0910 (2.0129) Prec@1 49.375 (48.037) Prec@5 80.000 (78.389) Epoch: [56][4130/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 1.8655 (2.0128) Prec@1 55.000 (48.042) Prec@5 80.625 (78.389) Epoch: [56][4140/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.2104 (2.0129) Prec@1 45.000 (48.037) Prec@5 71.875 (78.387) Epoch: [56][4150/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 2.0287 (2.0130) Prec@1 48.125 (48.037) Prec@5 78.750 (78.387) Epoch: [56][4160/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 2.2347 (2.0131) Prec@1 45.625 (48.033) Prec@5 73.750 (78.385) Epoch: [56][4170/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.0606 (2.0131) Prec@1 48.125 (48.032) Prec@5 79.375 (78.385) Epoch: [56][4180/11272] Time 0.842 (0.798) Data 0.002 (0.002) Loss 2.1141 (2.0132) Prec@1 46.250 (48.029) Prec@5 75.625 (78.384) Epoch: [56][4190/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.0439 (2.0134) Prec@1 46.250 (48.024) Prec@5 77.500 (78.381) Epoch: [56][4200/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 1.9268 (2.0134) Prec@1 49.375 (48.023) Prec@5 80.625 (78.383) Epoch: [56][4210/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 1.9924 (2.0134) Prec@1 44.375 (48.023) Prec@5 81.250 (78.380) Epoch: [56][4220/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.7568 (2.0133) Prec@1 50.000 (48.025) Prec@5 85.000 (78.382) Epoch: [56][4230/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 1.9491 (2.0132) Prec@1 51.875 (48.025) Prec@5 80.000 (78.386) Epoch: [56][4240/11272] Time 0.741 (0.798) Data 0.001 (0.002) Loss 2.0568 (2.0131) Prec@1 46.250 (48.027) Prec@5 78.750 (78.388) Epoch: [56][4250/11272] Time 0.905 (0.798) Data 0.001 (0.002) Loss 2.1895 (2.0130) Prec@1 48.125 (48.029) Prec@5 75.625 (78.388) Epoch: [56][4260/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.9292 (2.0131) Prec@1 51.250 (48.030) Prec@5 80.625 (78.387) Epoch: [56][4270/11272] Time 0.760 (0.798) Data 0.001 (0.002) Loss 1.7523 (2.0131) Prec@1 48.750 (48.027) Prec@5 84.375 (78.388) Epoch: [56][4280/11272] Time 0.722 (0.798) Data 0.001 (0.002) Loss 2.1682 (2.0131) Prec@1 43.750 (48.030) Prec@5 76.250 (78.390) Epoch: [56][4290/11272] Time 0.844 (0.798) Data 0.001 (0.002) Loss 2.0152 (2.0130) Prec@1 46.875 (48.029) Prec@5 78.750 (78.392) Epoch: [56][4300/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.1335 (2.0129) Prec@1 42.500 (48.030) Prec@5 79.375 (78.395) Epoch: [56][4310/11272] Time 0.765 (0.798) Data 0.002 (0.002) Loss 2.0552 (2.0129) Prec@1 45.000 (48.029) Prec@5 77.500 (78.395) Epoch: [56][4320/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 1.8025 (2.0128) Prec@1 50.000 (48.034) Prec@5 81.875 (78.396) Epoch: [56][4330/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 1.8112 (2.0128) Prec@1 56.250 (48.032) Prec@5 80.625 (78.396) Epoch: [56][4340/11272] Time 0.906 (0.798) Data 0.002 (0.002) Loss 2.3443 (2.0128) Prec@1 41.250 (48.030) Prec@5 70.625 (78.393) Epoch: [56][4350/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0141 (2.0127) Prec@1 53.125 (48.032) Prec@5 76.875 (78.393) Epoch: [56][4360/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 1.8752 (2.0130) Prec@1 55.625 (48.026) Prec@5 81.250 (78.390) Epoch: [56][4370/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.0312 (2.0132) Prec@1 46.875 (48.018) Prec@5 76.875 (78.387) Epoch: [56][4380/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0639 (2.0133) Prec@1 46.875 (48.017) Prec@5 79.375 (78.383) Epoch: [56][4390/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 2.1182 (2.0132) Prec@1 44.375 (48.018) Prec@5 75.000 (78.384) Epoch: [56][4400/11272] Time 0.820 (0.798) Data 0.002 (0.002) Loss 2.1602 (2.0132) Prec@1 50.000 (48.020) Prec@5 72.500 (78.383) Epoch: [56][4410/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.9368 (2.0133) Prec@1 46.875 (48.017) Prec@5 80.000 (78.382) Epoch: [56][4420/11272] Time 0.780 (0.798) Data 0.001 (0.002) Loss 1.7588 (2.0131) Prec@1 53.125 (48.021) Prec@5 82.500 (78.385) Epoch: [56][4430/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 1.7461 (2.0131) Prec@1 52.500 (48.023) Prec@5 80.625 (78.382) Epoch: [56][4440/11272] Time 0.894 (0.798) Data 0.003 (0.002) Loss 1.8012 (2.0130) Prec@1 53.750 (48.023) Prec@5 81.250 (78.383) Epoch: [56][4450/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 2.0892 (2.0130) Prec@1 53.125 (48.022) Prec@5 74.375 (78.383) Epoch: [56][4460/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 1.9899 (2.0130) Prec@1 51.250 (48.023) Prec@5 81.250 (78.383) Epoch: [56][4470/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 2.1105 (2.0132) Prec@1 45.000 (48.022) Prec@5 79.375 (78.380) Epoch: [56][4480/11272] Time 0.870 (0.798) Data 0.002 (0.002) Loss 1.8971 (2.0130) Prec@1 48.125 (48.029) Prec@5 85.000 (78.385) Epoch: [56][4490/11272] Time 0.820 (0.798) Data 0.002 (0.002) Loss 2.0788 (2.0130) Prec@1 48.125 (48.026) Prec@5 76.875 (78.385) Epoch: [56][4500/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 1.7475 (2.0130) Prec@1 53.125 (48.026) Prec@5 83.125 (78.387) Epoch: [56][4510/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.0592 (2.0131) Prec@1 48.125 (48.022) Prec@5 77.500 (78.385) Epoch: [56][4520/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 1.9933 (2.0130) Prec@1 46.250 (48.022) Prec@5 79.375 (78.384) Epoch: [56][4530/11272] Time 0.754 (0.798) Data 0.001 (0.002) Loss 2.2242 (2.0131) Prec@1 43.750 (48.019) Prec@5 77.500 (78.384) Epoch: [56][4540/11272] Time 0.773 (0.798) Data 0.002 (0.002) Loss 2.0495 (2.0131) Prec@1 49.375 (48.018) Prec@5 74.375 (78.383) Epoch: [56][4550/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 2.0294 (2.0132) Prec@1 48.125 (48.013) Prec@5 77.500 (78.380) Epoch: [56][4560/11272] Time 0.896 (0.798) Data 0.002 (0.002) Loss 2.1707 (2.0134) Prec@1 44.375 (48.012) Prec@5 75.625 (78.376) Epoch: [56][4570/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 1.7789 (2.0131) Prec@1 51.250 (48.015) Prec@5 80.625 (78.382) Epoch: [56][4580/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.7953 (2.0132) Prec@1 51.250 (48.015) Prec@5 79.375 (78.380) Epoch: [56][4590/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 1.9370 (2.0132) Prec@1 50.625 (48.016) Prec@5 78.125 (78.380) Epoch: [56][4600/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 2.0353 (2.0133) Prec@1 50.000 (48.012) Prec@5 77.500 (78.377) Epoch: [56][4610/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.2707 (2.0133) Prec@1 43.125 (48.012) Prec@5 71.875 (78.375) Epoch: [56][4620/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1063 (2.0134) Prec@1 49.375 (48.013) Prec@5 73.750 (78.374) Epoch: [56][4630/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 1.9613 (2.0134) Prec@1 48.750 (48.012) Prec@5 78.125 (78.374) Epoch: [56][4640/11272] Time 0.851 (0.798) Data 0.001 (0.002) Loss 1.9736 (2.0134) Prec@1 53.125 (48.012) Prec@5 80.625 (78.374) Epoch: [56][4650/11272] Time 0.749 (0.798) Data 0.001 (0.002) Loss 1.7866 (2.0134) Prec@1 48.125 (48.011) Prec@5 81.875 (78.375) Epoch: [56][4660/11272] Time 0.813 (0.798) Data 0.002 (0.002) Loss 2.0396 (2.0135) Prec@1 47.500 (48.008) Prec@5 76.875 (78.374) Epoch: [56][4670/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 1.9586 (2.0136) Prec@1 48.125 (48.008) Prec@5 77.500 (78.370) Epoch: [56][4680/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.9005 (2.0135) Prec@1 53.125 (48.007) Prec@5 78.125 (78.374) Epoch: [56][4690/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.7286 (2.0134) Prec@1 55.625 (48.009) Prec@5 85.625 (78.376) Epoch: [56][4700/11272] Time 0.896 (0.798) Data 0.001 (0.002) Loss 1.9677 (2.0134) Prec@1 47.500 (48.009) Prec@5 78.750 (78.376) Epoch: [56][4710/11272] Time 0.859 (0.798) Data 0.001 (0.002) Loss 1.9892 (2.0135) Prec@1 50.625 (48.007) Prec@5 79.375 (78.374) Epoch: [56][4720/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.8289 (2.0134) Prec@1 49.375 (48.007) Prec@5 83.750 (78.379) Epoch: [56][4730/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 1.8323 (2.0133) Prec@1 58.750 (48.010) Prec@5 81.250 (78.379) Epoch: [56][4740/11272] Time 0.873 (0.798) Data 0.001 (0.002) Loss 1.8830 (2.0133) Prec@1 57.500 (48.011) Prec@5 78.750 (78.379) Epoch: [56][4750/11272] Time 0.853 (0.798) Data 0.001 (0.002) Loss 1.9222 (2.0133) Prec@1 48.125 (48.010) Prec@5 78.125 (78.379) Epoch: [56][4760/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.0755 (2.0135) Prec@1 46.250 (48.009) Prec@5 75.625 (78.376) Epoch: [56][4770/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.9206 (2.0135) Prec@1 49.375 (48.009) Prec@5 78.750 (78.376) Epoch: [56][4780/11272] Time 0.912 (0.798) Data 0.002 (0.002) Loss 1.8049 (2.0135) Prec@1 50.625 (48.009) Prec@5 82.500 (78.376) Epoch: [56][4790/11272] Time 0.733 (0.798) Data 0.003 (0.002) Loss 2.2024 (2.0135) Prec@1 38.125 (48.006) Prec@5 75.000 (78.377) Epoch: [56][4800/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.1141 (2.0135) Prec@1 43.125 (48.005) Prec@5 76.250 (78.377) Epoch: [56][4810/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.8376 (2.0134) Prec@1 56.875 (48.005) Prec@5 81.250 (78.378) Epoch: [56][4820/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.0736 (2.0134) Prec@1 46.875 (48.007) Prec@5 76.875 (78.379) Epoch: [56][4830/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.1047 (2.0134) Prec@1 50.000 (48.011) Prec@5 76.875 (78.381) Epoch: [56][4840/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.2162 (2.0134) Prec@1 44.375 (48.009) Prec@5 73.125 (78.382) Epoch: [56][4850/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.2189 (2.0134) Prec@1 45.625 (48.007) Prec@5 78.750 (78.383) Epoch: [56][4860/11272] Time 0.847 (0.798) Data 0.001 (0.002) Loss 1.9403 (2.0135) Prec@1 49.375 (48.007) Prec@5 80.625 (78.380) Epoch: [56][4870/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.0239 (2.0135) Prec@1 47.500 (48.005) Prec@5 77.500 (78.380) Epoch: [56][4880/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.3739 (2.0136) Prec@1 38.750 (48.000) Prec@5 73.125 (78.377) Epoch: [56][4890/11272] Time 0.913 (0.798) Data 0.002 (0.002) Loss 2.3821 (2.0135) Prec@1 44.375 (48.000) Prec@5 71.250 (78.378) Epoch: [56][4900/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 1.9411 (2.0133) Prec@1 48.125 (48.003) Prec@5 80.625 (78.380) Epoch: [56][4910/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.2419 (2.0135) Prec@1 44.375 (47.999) Prec@5 73.125 (78.380) Epoch: [56][4920/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 1.9722 (2.0136) Prec@1 46.875 (47.997) Prec@5 78.750 (78.379) Epoch: [56][4930/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 2.1290 (2.0137) Prec@1 40.625 (47.993) Prec@5 78.750 (78.376) Epoch: [56][4940/11272] Time 0.757 (0.798) Data 0.001 (0.002) Loss 1.9563 (2.0137) Prec@1 49.375 (47.994) Prec@5 75.625 (78.374) Epoch: [56][4950/11272] Time 0.814 (0.798) Data 0.002 (0.002) Loss 1.6771 (2.0137) Prec@1 58.125 (47.996) Prec@5 81.250 (78.374) Epoch: [56][4960/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 1.8493 (2.0135) Prec@1 51.250 (47.997) Prec@5 80.625 (78.377) Epoch: [56][4970/11272] Time 0.869 (0.798) Data 0.002 (0.002) Loss 1.8343 (2.0134) Prec@1 45.000 (47.999) Prec@5 81.250 (78.379) Epoch: [56][4980/11272] Time 0.749 (0.798) Data 0.001 (0.002) Loss 2.0529 (2.0133) Prec@1 52.500 (48.003) Prec@5 75.000 (78.379) Epoch: [56][4990/11272] Time 0.778 (0.798) Data 0.002 (0.002) Loss 2.0973 (2.0134) Prec@1 45.000 (48.001) Prec@5 76.875 (78.379) Epoch: [56][5000/11272] Time 0.838 (0.798) Data 0.001 (0.002) Loss 1.9796 (2.0135) Prec@1 50.625 (47.997) Prec@5 76.250 (78.376) Epoch: [56][5010/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 2.0608 (2.0135) Prec@1 49.375 (47.997) Prec@5 77.500 (78.375) Epoch: [56][5020/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.0366 (2.0135) Prec@1 43.125 (47.995) Prec@5 81.250 (78.377) Epoch: [56][5030/11272] Time 0.765 (0.798) Data 0.002 (0.002) Loss 1.9912 (2.0135) Prec@1 50.000 (47.993) Prec@5 78.125 (78.375) Epoch: [56][5040/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 1.8911 (2.0136) Prec@1 48.750 (47.993) Prec@5 79.375 (78.374) Epoch: [56][5050/11272] Time 0.728 (0.798) Data 0.003 (0.002) Loss 2.2081 (2.0137) Prec@1 41.250 (47.991) Prec@5 70.000 (78.371) Epoch: [56][5060/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.8680 (2.0137) Prec@1 48.750 (47.991) Prec@5 81.875 (78.370) Epoch: [56][5070/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.9491 (2.0136) Prec@1 49.375 (47.993) Prec@5 80.000 (78.372) Epoch: [56][5080/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0842 (2.0136) Prec@1 51.250 (47.993) Prec@5 75.625 (78.373) Epoch: [56][5090/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 2.1604 (2.0136) Prec@1 45.625 (47.992) Prec@5 74.375 (78.373) Epoch: [56][5100/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 1.9286 (2.0137) Prec@1 50.000 (47.994) Prec@5 81.250 (78.374) Epoch: [56][5110/11272] Time 0.837 (0.798) Data 0.001 (0.002) Loss 2.1962 (2.0136) Prec@1 43.750 (47.995) Prec@5 72.500 (78.373) Epoch: [56][5120/11272] Time 0.856 (0.798) Data 0.002 (0.002) Loss 1.9158 (2.0137) Prec@1 47.500 (47.995) Prec@5 81.875 (78.371) Epoch: [56][5130/11272] Time 0.743 (0.798) Data 0.001 (0.002) Loss 2.1603 (2.0139) Prec@1 49.375 (47.990) Prec@5 76.250 (78.369) Epoch: [56][5140/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 1.9384 (2.0139) Prec@1 51.250 (47.989) Prec@5 81.875 (78.369) Epoch: [56][5150/11272] Time 0.912 (0.798) Data 0.002 (0.002) Loss 2.0078 (2.0139) Prec@1 46.875 (47.989) Prec@5 79.375 (78.371) Epoch: [56][5160/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.9751 (2.0140) Prec@1 46.875 (47.986) Prec@5 81.875 (78.368) Epoch: [56][5170/11272] Time 0.716 (0.798) Data 0.001 (0.002) Loss 2.0709 (2.0140) Prec@1 46.875 (47.986) Prec@5 79.375 (78.368) Epoch: [56][5180/11272] Time 0.952 (0.798) Data 0.002 (0.002) Loss 2.1187 (2.0139) Prec@1 44.375 (47.987) Prec@5 77.500 (78.369) Epoch: [56][5190/11272] Time 0.921 (0.798) Data 0.002 (0.002) Loss 2.0073 (2.0139) Prec@1 46.250 (47.989) Prec@5 80.000 (78.370) Epoch: [56][5200/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.0563 (2.0140) Prec@1 48.125 (47.990) Prec@5 78.750 (78.369) Epoch: [56][5210/11272] Time 0.793 (0.798) Data 0.002 (0.002) Loss 2.0860 (2.0139) Prec@1 42.500 (47.989) Prec@5 77.500 (78.371) Epoch: [56][5220/11272] Time 0.884 (0.798) Data 0.002 (0.002) Loss 1.8622 (2.0139) Prec@1 59.375 (47.992) Prec@5 78.750 (78.371) Epoch: [56][5230/11272] Time 0.924 (0.798) Data 0.002 (0.002) Loss 1.8004 (2.0140) Prec@1 54.375 (47.990) Prec@5 83.750 (78.369) Epoch: [56][5240/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 2.1946 (2.0141) Prec@1 40.625 (47.988) Prec@5 75.000 (78.366) Epoch: [56][5250/11272] Time 0.783 (0.798) Data 0.002 (0.002) Loss 1.7650 (2.0140) Prec@1 56.875 (47.991) Prec@5 82.500 (78.366) Epoch: [56][5260/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 2.2397 (2.0140) Prec@1 43.125 (47.989) Prec@5 72.500 (78.367) Epoch: [56][5270/11272] Time 0.885 (0.798) Data 0.002 (0.002) Loss 2.1566 (2.0142) Prec@1 40.000 (47.982) Prec@5 76.250 (78.365) Epoch: [56][5280/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.2923 (2.0142) Prec@1 48.125 (47.982) Prec@5 73.125 (78.367) Epoch: [56][5290/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.8719 (2.0141) Prec@1 46.250 (47.983) Prec@5 81.250 (78.370) Epoch: [56][5300/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 2.2628 (2.0142) Prec@1 41.250 (47.982) Prec@5 72.500 (78.367) Epoch: [56][5310/11272] Time 0.856 (0.798) Data 0.002 (0.002) Loss 1.8414 (2.0141) Prec@1 46.875 (47.982) Prec@5 83.125 (78.368) Epoch: [56][5320/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 2.2872 (2.0140) Prec@1 40.000 (47.982) Prec@5 73.750 (78.368) Epoch: [56][5330/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.7799 (2.0141) Prec@1 50.625 (47.979) Prec@5 86.875 (78.370) Epoch: [56][5340/11272] Time 0.901 (0.798) Data 0.002 (0.002) Loss 2.0002 (2.0140) Prec@1 46.250 (47.981) Prec@5 83.750 (78.372) Epoch: [56][5350/11272] Time 0.714 (0.798) Data 0.001 (0.002) Loss 1.8669 (2.0140) Prec@1 50.625 (47.982) Prec@5 79.375 (78.373) Epoch: [56][5360/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 1.7649 (2.0140) Prec@1 52.500 (47.982) Prec@5 83.125 (78.375) Epoch: [56][5370/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 1.9265 (2.0139) Prec@1 47.500 (47.983) Prec@5 80.000 (78.375) Epoch: [56][5380/11272] Time 0.840 (0.798) Data 0.001 (0.002) Loss 2.0259 (2.0139) Prec@1 49.375 (47.983) Prec@5 79.375 (78.375) Epoch: [56][5390/11272] Time 0.718 (0.798) Data 0.002 (0.002) Loss 2.2671 (2.0137) Prec@1 45.625 (47.990) Prec@5 74.375 (78.378) Epoch: [56][5400/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 1.8483 (2.0136) Prec@1 50.625 (47.992) Prec@5 80.000 (78.379) Epoch: [56][5410/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 2.2474 (2.0136) Prec@1 45.625 (47.992) Prec@5 75.625 (78.379) Epoch: [56][5420/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 2.1338 (2.0136) Prec@1 51.875 (47.993) Prec@5 75.000 (78.378) Epoch: [56][5430/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 2.0366 (2.0137) Prec@1 46.875 (47.989) Prec@5 77.500 (78.376) Epoch: [56][5440/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 1.7564 (2.0136) Prec@1 54.375 (47.992) Prec@5 81.875 (78.377) Epoch: [56][5450/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 2.2228 (2.0137) Prec@1 40.625 (47.990) Prec@5 69.375 (78.376) Epoch: [56][5460/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.1211 (2.0136) Prec@1 51.250 (47.989) Prec@5 78.750 (78.378) Epoch: [56][5470/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.1252 (2.0137) Prec@1 41.875 (47.989) Prec@5 75.625 (78.376) Epoch: [56][5480/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 1.8737 (2.0136) Prec@1 49.375 (47.989) Prec@5 80.000 (78.378) Epoch: [56][5490/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 2.0418 (2.0136) Prec@1 45.000 (47.992) Prec@5 76.250 (78.380) Epoch: [56][5500/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.1044 (2.0138) Prec@1 40.625 (47.986) Prec@5 76.875 (78.376) Epoch: [56][5510/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 2.1107 (2.0138) Prec@1 48.125 (47.985) Prec@5 76.875 (78.376) Epoch: [56][5520/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 2.0595 (2.0139) Prec@1 49.375 (47.983) Prec@5 75.625 (78.375) Epoch: [56][5530/11272] Time 0.834 (0.798) Data 0.001 (0.002) Loss 2.0787 (2.0139) Prec@1 51.250 (47.985) Prec@5 76.250 (78.374) Epoch: [56][5540/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.0427 (2.0139) Prec@1 45.625 (47.984) Prec@5 82.500 (78.373) Epoch: [56][5550/11272] Time 0.760 (0.798) Data 0.002 (0.002) Loss 2.0797 (2.0141) Prec@1 49.375 (47.983) Prec@5 76.875 (78.371) Epoch: [56][5560/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.0908 (2.0142) Prec@1 44.375 (47.979) Prec@5 76.250 (78.368) Epoch: [56][5570/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 2.0177 (2.0142) Prec@1 43.125 (47.980) Prec@5 81.250 (78.368) Epoch: [56][5580/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.0735 (2.0142) Prec@1 48.125 (47.982) Prec@5 75.000 (78.366) Epoch: [56][5590/11272] Time 0.864 (0.798) Data 0.001 (0.002) Loss 2.0548 (2.0143) Prec@1 42.500 (47.979) Prec@5 80.625 (78.364) Epoch: [56][5600/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 2.0740 (2.0143) Prec@1 45.625 (47.977) Prec@5 74.375 (78.364) Epoch: [56][5610/11272] Time 0.754 (0.798) Data 0.001 (0.002) Loss 2.0062 (2.0143) Prec@1 45.625 (47.979) Prec@5 80.000 (78.364) Epoch: [56][5620/11272] Time 0.754 (0.798) Data 0.001 (0.002) Loss 2.1731 (2.0143) Prec@1 43.750 (47.980) Prec@5 80.000 (78.363) Epoch: [56][5630/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0895 (2.0142) Prec@1 41.875 (47.981) Prec@5 79.375 (78.363) Epoch: [56][5640/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 2.2489 (2.0142) Prec@1 42.500 (47.981) Prec@5 71.875 (78.363) Epoch: [56][5650/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 1.9407 (2.0143) Prec@1 50.625 (47.981) Prec@5 80.625 (78.361) Epoch: [56][5660/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.0228 (2.0141) Prec@1 52.500 (47.982) Prec@5 78.750 (78.364) Epoch: [56][5670/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.2598 (2.0142) Prec@1 49.375 (47.982) Prec@5 72.500 (78.362) Epoch: [56][5680/11272] Time 0.844 (0.798) Data 0.001 (0.002) Loss 1.7919 (2.0142) Prec@1 46.250 (47.980) Prec@5 78.750 (78.364) Epoch: [56][5690/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 2.2566 (2.0142) Prec@1 43.125 (47.975) Prec@5 76.875 (78.363) Epoch: [56][5700/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.9275 (2.0143) Prec@1 48.125 (47.974) Prec@5 79.375 (78.361) Epoch: [56][5710/11272] Time 0.857 (0.798) Data 0.001 (0.002) Loss 2.0753 (2.0142) Prec@1 48.750 (47.976) Prec@5 82.500 (78.363) Epoch: [56][5720/11272] Time 0.730 (0.798) Data 0.004 (0.002) Loss 2.2480 (2.0143) Prec@1 42.500 (47.976) Prec@5 71.875 (78.363) Epoch: [56][5730/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.0601 (2.0143) Prec@1 50.000 (47.977) Prec@5 76.875 (78.362) Epoch: [56][5740/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 1.8221 (2.0142) Prec@1 52.500 (47.978) Prec@5 83.750 (78.364) Epoch: [56][5750/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 2.0467 (2.0142) Prec@1 44.375 (47.975) Prec@5 77.500 (78.365) Epoch: [56][5760/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 1.8367 (2.0141) Prec@1 52.500 (47.980) Prec@5 82.500 (78.365) Epoch: [56][5770/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.1147 (2.0141) Prec@1 48.125 (47.979) Prec@5 77.500 (78.365) Epoch: [56][5780/11272] Time 0.801 (0.798) Data 0.001 (0.002) Loss 1.8723 (2.0142) Prec@1 46.875 (47.978) Prec@5 83.125 (78.365) Epoch: [56][5790/11272] Time 0.873 (0.798) Data 0.002 (0.002) Loss 1.9527 (2.0141) Prec@1 48.125 (47.980) Prec@5 78.750 (78.365) Epoch: [56][5800/11272] Time 0.765 (0.798) Data 0.002 (0.002) Loss 1.7251 (2.0140) Prec@1 58.125 (47.981) Prec@5 86.250 (78.366) Epoch: [56][5810/11272] Time 0.770 (0.798) Data 0.001 (0.002) Loss 2.2529 (2.0142) Prec@1 45.000 (47.976) Prec@5 75.000 (78.366) Epoch: [56][5820/11272] Time 0.900 (0.798) Data 0.002 (0.002) Loss 2.0568 (2.0141) Prec@1 46.250 (47.979) Prec@5 81.875 (78.368) Epoch: [56][5830/11272] Time 0.873 (0.798) Data 0.002 (0.002) Loss 2.1203 (2.0141) Prec@1 50.625 (47.981) Prec@5 72.500 (78.367) Epoch: [56][5840/11272] Time 0.760 (0.798) Data 0.001 (0.002) Loss 2.0800 (2.0141) Prec@1 49.375 (47.979) Prec@5 75.625 (78.367) Epoch: [56][5850/11272] Time 0.910 (0.798) Data 0.002 (0.002) Loss 2.0176 (2.0141) Prec@1 51.875 (47.980) Prec@5 77.500 (78.367) Epoch: [56][5860/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.8793 (2.0141) Prec@1 53.125 (47.981) Prec@5 79.375 (78.366) Epoch: [56][5870/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 1.8047 (2.0141) Prec@1 55.000 (47.981) Prec@5 80.625 (78.366) Epoch: [56][5880/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.2369 (2.0142) Prec@1 44.375 (47.978) Prec@5 70.625 (78.364) Epoch: [56][5890/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.8010 (2.0140) Prec@1 53.750 (47.983) Prec@5 83.125 (78.367) Epoch: [56][5900/11272] Time 0.819 (0.798) Data 0.001 (0.002) Loss 2.1364 (2.0142) Prec@1 47.500 (47.981) Prec@5 72.500 (78.364) Epoch: [56][5910/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 2.0114 (2.0141) Prec@1 50.000 (47.983) Prec@5 76.250 (78.363) Epoch: [56][5920/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 2.2519 (2.0141) Prec@1 41.250 (47.983) Prec@5 75.000 (78.365) Epoch: [56][5930/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 1.7566 (2.0139) Prec@1 56.250 (47.984) Prec@5 82.500 (78.370) Epoch: [56][5940/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 1.7921 (2.0137) Prec@1 55.625 (47.987) Prec@5 84.375 (78.373) Epoch: [56][5950/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 1.9858 (2.0138) Prec@1 51.875 (47.984) Prec@5 75.625 (78.371) Epoch: [56][5960/11272] Time 0.712 (0.798) Data 0.001 (0.002) Loss 1.9887 (2.0137) Prec@1 49.375 (47.984) Prec@5 81.875 (78.373) Epoch: [56][5970/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 2.1702 (2.0139) Prec@1 44.375 (47.981) Prec@5 73.750 (78.370) Epoch: [56][5980/11272] Time 0.756 (0.798) Data 0.003 (0.002) Loss 1.9120 (2.0139) Prec@1 51.250 (47.982) Prec@5 77.500 (78.370) Epoch: [56][5990/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.0167 (2.0140) Prec@1 48.750 (47.981) Prec@5 76.250 (78.367) Epoch: [56][6000/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.9047 (2.0140) Prec@1 51.250 (47.981) Prec@5 81.250 (78.366) Epoch: [56][6010/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 1.8813 (2.0140) Prec@1 53.750 (47.983) Prec@5 78.750 (78.366) Epoch: [56][6020/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.1423 (2.0141) Prec@1 48.125 (47.984) Prec@5 76.250 (78.364) Epoch: [56][6030/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.1752 (2.0142) Prec@1 43.125 (47.979) Prec@5 78.125 (78.362) Epoch: [56][6040/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 2.0851 (2.0142) Prec@1 46.875 (47.980) Prec@5 78.750 (78.360) Epoch: [56][6050/11272] Time 0.846 (0.798) Data 0.001 (0.002) Loss 2.0935 (2.0142) Prec@1 41.875 (47.982) Prec@5 78.125 (78.361) Epoch: [56][6060/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.3529 (2.0143) Prec@1 40.000 (47.979) Prec@5 74.375 (78.361) Epoch: [56][6070/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.9451 (2.0143) Prec@1 46.875 (47.977) Prec@5 80.000 (78.359) Epoch: [56][6080/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.9940 (2.0143) Prec@1 51.250 (47.975) Prec@5 78.750 (78.359) Epoch: [56][6090/11272] Time 0.824 (0.798) Data 0.002 (0.002) Loss 1.9233 (2.0143) Prec@1 48.125 (47.977) Prec@5 78.750 (78.360) Epoch: [56][6100/11272] Time 0.717 (0.798) Data 0.001 (0.002) Loss 2.3488 (2.0142) Prec@1 36.875 (47.979) Prec@5 76.250 (78.362) Epoch: [56][6110/11272] Time 0.796 (0.798) Data 0.001 (0.002) Loss 2.1043 (2.0142) Prec@1 52.500 (47.979) Prec@5 75.625 (78.363) Epoch: [56][6120/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.0690 (2.0144) Prec@1 45.000 (47.976) Prec@5 77.500 (78.361) Epoch: [56][6130/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.1479 (2.0143) Prec@1 41.875 (47.977) Prec@5 76.250 (78.361) Epoch: [56][6140/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 2.0664 (2.0143) Prec@1 47.500 (47.981) Prec@5 76.250 (78.361) Epoch: [56][6150/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.2343 (2.0143) Prec@1 40.625 (47.980) Prec@5 75.000 (78.360) Epoch: [56][6160/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0628 (2.0144) Prec@1 50.625 (47.978) Prec@5 75.000 (78.358) Epoch: [56][6170/11272] Time 0.782 (0.798) Data 0.002 (0.002) Loss 2.0323 (2.0145) Prec@1 52.500 (47.979) Prec@5 80.000 (78.357) Epoch: [56][6180/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 2.0710 (2.0145) Prec@1 45.000 (47.979) Prec@5 80.000 (78.356) Epoch: [56][6190/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 1.9282 (2.0145) Prec@1 53.125 (47.978) Prec@5 76.250 (78.355) Epoch: [56][6200/11272] Time 0.890 (0.798) Data 0.002 (0.002) Loss 1.9479 (2.0145) Prec@1 50.000 (47.978) Prec@5 80.625 (78.355) Epoch: [56][6210/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.7342 (2.0144) Prec@1 55.625 (47.982) Prec@5 85.000 (78.357) Epoch: [56][6220/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 1.8343 (2.0144) Prec@1 52.500 (47.981) Prec@5 83.750 (78.357) Epoch: [56][6230/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0743 (2.0144) Prec@1 46.250 (47.981) Prec@5 75.000 (78.356) Epoch: [56][6240/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.1199 (2.0145) Prec@1 45.000 (47.978) Prec@5 77.500 (78.353) Epoch: [56][6250/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.0339 (2.0146) Prec@1 48.750 (47.976) Prec@5 81.250 (78.351) Epoch: [56][6260/11272] Time 0.911 (0.798) Data 0.001 (0.002) Loss 1.7663 (2.0146) Prec@1 53.125 (47.977) Prec@5 81.250 (78.350) Epoch: [56][6270/11272] Time 0.865 (0.798) Data 0.002 (0.002) Loss 1.8562 (2.0145) Prec@1 51.875 (47.980) Prec@5 78.125 (78.351) Epoch: [56][6280/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 1.7301 (2.0144) Prec@1 53.750 (47.981) Prec@5 83.125 (78.353) Epoch: [56][6290/11272] Time 0.767 (0.798) Data 0.001 (0.002) Loss 2.0198 (2.0143) Prec@1 48.750 (47.982) Prec@5 79.375 (78.355) Epoch: [56][6300/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 2.1472 (2.0144) Prec@1 46.875 (47.983) Prec@5 74.375 (78.354) Epoch: [56][6310/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 1.7278 (2.0143) Prec@1 54.375 (47.985) Prec@5 83.750 (78.354) Epoch: [56][6320/11272] Time 0.751 (0.798) Data 0.001 (0.002) Loss 1.8850 (2.0142) Prec@1 53.125 (47.987) Prec@5 80.000 (78.354) Epoch: [56][6330/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 1.9485 (2.0141) Prec@1 51.875 (47.993) Prec@5 77.500 (78.356) Epoch: [56][6340/11272] Time 0.901 (0.798) Data 0.001 (0.002) Loss 2.1278 (2.0141) Prec@1 48.750 (47.993) Prec@5 80.000 (78.358) Epoch: [56][6350/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.0172 (2.0142) Prec@1 49.375 (47.991) Prec@5 80.625 (78.356) Epoch: [56][6360/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.1574 (2.0143) Prec@1 46.250 (47.988) Prec@5 77.500 (78.354) Epoch: [56][6370/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 2.2382 (2.0144) Prec@1 43.125 (47.986) Prec@5 73.125 (78.354) Epoch: [56][6380/11272] Time 0.900 (0.798) Data 0.002 (0.002) Loss 2.0349 (2.0144) Prec@1 43.125 (47.986) Prec@5 78.750 (78.353) Epoch: [56][6390/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 2.0529 (2.0144) Prec@1 46.875 (47.985) Prec@5 75.625 (78.353) Epoch: [56][6400/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 1.8457 (2.0144) Prec@1 49.375 (47.987) Prec@5 83.125 (78.354) Epoch: [56][6410/11272] Time 0.863 (0.798) Data 0.002 (0.002) Loss 2.2801 (2.0145) Prec@1 43.750 (47.982) Prec@5 73.125 (78.350) Epoch: [56][6420/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.1546 (2.0145) Prec@1 44.375 (47.981) Prec@5 76.875 (78.351) Epoch: [56][6430/11272] Time 0.779 (0.798) Data 0.001 (0.002) Loss 2.0015 (2.0146) Prec@1 48.750 (47.981) Prec@5 78.125 (78.349) Epoch: [56][6440/11272] Time 0.720 (0.798) Data 0.002 (0.002) Loss 2.2175 (2.0147) Prec@1 46.875 (47.981) Prec@5 74.375 (78.347) Epoch: [56][6450/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.9257 (2.0146) Prec@1 50.000 (47.983) Prec@5 75.625 (78.347) Epoch: [56][6460/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 1.9638 (2.0147) Prec@1 47.500 (47.983) Prec@5 82.500 (78.346) Epoch: [56][6470/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 1.9837 (2.0148) Prec@1 48.750 (47.981) Prec@5 80.000 (78.345) Epoch: [56][6480/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 2.3271 (2.0150) Prec@1 43.125 (47.979) Prec@5 73.750 (78.343) Epoch: [56][6490/11272] Time 0.919 (0.798) Data 0.002 (0.002) Loss 2.3210 (2.0151) Prec@1 43.125 (47.975) Prec@5 73.750 (78.340) Epoch: [56][6500/11272] Time 0.863 (0.798) Data 0.002 (0.002) Loss 1.9915 (2.0151) Prec@1 50.000 (47.978) Prec@5 78.750 (78.341) Epoch: [56][6510/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.9947 (2.0151) Prec@1 52.500 (47.977) Prec@5 77.500 (78.341) Epoch: [56][6520/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 1.8340 (2.0151) Prec@1 54.375 (47.976) Prec@5 82.500 (78.339) Epoch: [56][6530/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 2.0381 (2.0151) Prec@1 44.375 (47.977) Prec@5 76.875 (78.339) Epoch: [56][6540/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 1.8271 (2.0150) Prec@1 54.375 (47.979) Prec@5 81.875 (78.340) Epoch: [56][6550/11272] Time 0.742 (0.798) Data 0.002 (0.002) Loss 2.0388 (2.0151) Prec@1 50.000 (47.979) Prec@5 79.375 (78.337) Epoch: [56][6560/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 1.7580 (2.0152) Prec@1 56.250 (47.980) Prec@5 81.250 (78.335) Epoch: [56][6570/11272] Time 0.887 (0.798) Data 0.002 (0.002) Loss 2.0849 (2.0151) Prec@1 43.750 (47.981) Prec@5 78.125 (78.335) Epoch: [56][6580/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 2.1539 (2.0152) Prec@1 37.500 (47.979) Prec@5 76.250 (78.335) Epoch: [56][6590/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0046 (2.0153) Prec@1 45.625 (47.977) Prec@5 81.250 (78.332) Epoch: [56][6600/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 2.1296 (2.0153) Prec@1 50.000 (47.979) Prec@5 77.500 (78.334) Epoch: [56][6610/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.0690 (2.0153) Prec@1 48.125 (47.978) Prec@5 77.500 (78.335) Epoch: [56][6620/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 1.9264 (2.0152) Prec@1 51.250 (47.977) Prec@5 78.750 (78.336) Epoch: [56][6630/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.0470 (2.0153) Prec@1 48.750 (47.976) Prec@5 76.875 (78.336) Epoch: [56][6640/11272] Time 0.886 (0.798) Data 0.002 (0.002) Loss 2.0986 (2.0154) Prec@1 46.875 (47.977) Prec@5 77.500 (78.336) Epoch: [56][6650/11272] Time 0.721 (0.798) Data 0.003 (0.002) Loss 2.3157 (2.0154) Prec@1 40.000 (47.976) Prec@5 75.000 (78.335) Epoch: [56][6660/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 1.9878 (2.0155) Prec@1 43.750 (47.976) Prec@5 80.625 (78.334) Epoch: [56][6670/11272] Time 0.881 (0.798) Data 0.002 (0.002) Loss 1.9600 (2.0153) Prec@1 50.625 (47.978) Prec@5 75.000 (78.336) Epoch: [56][6680/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 1.8509 (2.0153) Prec@1 51.875 (47.977) Prec@5 80.000 (78.337) Epoch: [56][6690/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.0761 (2.0154) Prec@1 46.875 (47.976) Prec@5 75.625 (78.336) Epoch: [56][6700/11272] Time 0.765 (0.798) Data 0.001 (0.002) Loss 2.0277 (2.0155) Prec@1 49.375 (47.974) Prec@5 75.000 (78.334) Epoch: [56][6710/11272] Time 0.871 (0.798) Data 0.002 (0.002) Loss 1.9770 (2.0154) Prec@1 48.750 (47.976) Prec@5 82.500 (78.335) Epoch: [56][6720/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 1.8482 (2.0153) Prec@1 53.750 (47.978) Prec@5 83.750 (78.337) Epoch: [56][6730/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.2042 (2.0152) Prec@1 43.750 (47.978) Prec@5 73.125 (78.339) Epoch: [56][6740/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.8180 (2.0154) Prec@1 53.125 (47.977) Prec@5 81.875 (78.337) Epoch: [56][6750/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 2.0726 (2.0153) Prec@1 49.375 (47.977) Prec@5 79.375 (78.337) Epoch: [56][6760/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 2.0726 (2.0153) Prec@1 48.125 (47.978) Prec@5 76.875 (78.337) Epoch: [56][6770/11272] Time 0.745 (0.798) Data 0.001 (0.002) Loss 2.1991 (2.0154) Prec@1 46.875 (47.977) Prec@5 73.125 (78.335) Epoch: [56][6780/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.9323 (2.0155) Prec@1 48.750 (47.975) Prec@5 80.625 (78.333) Epoch: [56][6790/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 2.1350 (2.0155) Prec@1 44.375 (47.975) Prec@5 78.750 (78.331) Epoch: [56][6800/11272] Time 0.733 (0.798) Data 0.001 (0.002) Loss 1.9817 (2.0156) Prec@1 49.375 (47.973) Prec@5 80.625 (78.331) Epoch: [56][6810/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 1.7980 (2.0156) Prec@1 55.625 (47.973) Prec@5 78.750 (78.330) Epoch: [56][6820/11272] Time 0.890 (0.798) Data 0.001 (0.002) Loss 1.8278 (2.0155) Prec@1 51.875 (47.977) Prec@5 79.375 (78.331) Epoch: [56][6830/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.8417 (2.0154) Prec@1 47.500 (47.976) Prec@5 82.500 (78.333) Epoch: [56][6840/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.9441 (2.0154) Prec@1 52.500 (47.976) Prec@5 81.250 (78.335) Epoch: [56][6850/11272] Time 0.719 (0.798) Data 0.001 (0.002) Loss 2.2095 (2.0154) Prec@1 47.500 (47.977) Prec@5 78.125 (78.337) Epoch: [56][6860/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 2.1775 (2.0155) Prec@1 45.000 (47.975) Prec@5 76.875 (78.334) Epoch: [56][6870/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 2.1585 (2.0155) Prec@1 46.875 (47.974) Prec@5 80.625 (78.335) Epoch: [56][6880/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 2.1144 (2.0155) Prec@1 49.375 (47.975) Prec@5 78.125 (78.334) Epoch: [56][6890/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 1.9828 (2.0156) Prec@1 46.875 (47.972) Prec@5 76.875 (78.332) Epoch: [56][6900/11272] Time 0.905 (0.798) Data 0.002 (0.002) Loss 1.8871 (2.0155) Prec@1 52.500 (47.976) Prec@5 76.875 (78.333) Epoch: [56][6910/11272] Time 0.760 (0.798) Data 0.004 (0.002) Loss 1.9449 (2.0155) Prec@1 47.500 (47.976) Prec@5 77.500 (78.335) Epoch: [56][6920/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.0383 (2.0155) Prec@1 46.250 (47.975) Prec@5 77.500 (78.335) Epoch: [56][6930/11272] Time 0.833 (0.798) Data 0.002 (0.002) Loss 2.1088 (2.0155) Prec@1 45.625 (47.975) Prec@5 74.375 (78.334) Epoch: [56][6940/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.1116 (2.0156) Prec@1 45.000 (47.973) Prec@5 75.000 (78.332) Epoch: [56][6950/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 2.1121 (2.0156) Prec@1 42.500 (47.972) Prec@5 78.750 (78.332) Epoch: [56][6960/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 2.2412 (2.0158) Prec@1 42.500 (47.966) Prec@5 74.375 (78.329) Epoch: [56][6970/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.9216 (2.0157) Prec@1 51.250 (47.967) Prec@5 80.625 (78.331) Epoch: [56][6980/11272] Time 0.857 (0.798) Data 0.001 (0.002) Loss 2.0157 (2.0157) Prec@1 44.375 (47.965) Prec@5 80.625 (78.332) Epoch: [56][6990/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 1.8244 (2.0157) Prec@1 51.250 (47.964) Prec@5 82.500 (78.333) Epoch: [56][7000/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 1.8959 (2.0157) Prec@1 54.375 (47.966) Prec@5 81.875 (78.332) Epoch: [56][7010/11272] Time 0.856 (0.798) Data 0.001 (0.002) Loss 2.1127 (2.0157) Prec@1 46.250 (47.966) Prec@5 76.250 (78.332) Epoch: [56][7020/11272] Time 0.838 (0.798) Data 0.001 (0.002) Loss 2.0142 (2.0157) Prec@1 50.000 (47.964) Prec@5 78.750 (78.332) Epoch: [56][7030/11272] Time 0.720 (0.798) Data 0.002 (0.002) Loss 1.9805 (2.0157) Prec@1 45.000 (47.963) Prec@5 76.875 (78.332) Epoch: [56][7040/11272] Time 0.800 (0.798) Data 0.002 (0.002) Loss 2.0637 (2.0158) Prec@1 46.875 (47.961) Prec@5 77.500 (78.332) Epoch: [56][7050/11272] Time 0.838 (0.798) Data 0.001 (0.002) Loss 1.9073 (2.0157) Prec@1 46.875 (47.960) Prec@5 81.875 (78.332) Epoch: [56][7060/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.0541 (2.0157) Prec@1 48.125 (47.961) Prec@5 76.250 (78.331) Epoch: [56][7070/11272] Time 0.762 (0.798) Data 0.002 (0.002) Loss 2.0848 (2.0157) Prec@1 44.375 (47.961) Prec@5 75.625 (78.330) Epoch: [56][7080/11272] Time 0.884 (0.798) Data 0.001 (0.002) Loss 1.9113 (2.0158) Prec@1 50.000 (47.959) Prec@5 80.000 (78.330) Epoch: [56][7090/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 2.0208 (2.0158) Prec@1 48.750 (47.958) Prec@5 79.375 (78.331) Epoch: [56][7100/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.3877 (2.0159) Prec@1 40.625 (47.958) Prec@5 71.250 (78.328) Epoch: [56][7110/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 2.1108 (2.0159) Prec@1 44.375 (47.959) Prec@5 76.875 (78.329) Epoch: [56][7120/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 2.1833 (2.0159) Prec@1 41.250 (47.959) Prec@5 76.250 (78.329) Epoch: [56][7130/11272] Time 0.867 (0.798) Data 0.002 (0.002) Loss 2.1912 (2.0160) Prec@1 46.250 (47.959) Prec@5 75.000 (78.327) Epoch: [56][7140/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 2.0778 (2.0161) Prec@1 45.625 (47.958) Prec@5 72.500 (78.324) Epoch: [56][7150/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.9321 (2.0160) Prec@1 46.250 (47.959) Prec@5 77.500 (78.324) Epoch: [56][7160/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 2.0923 (2.0160) Prec@1 49.375 (47.957) Prec@5 76.875 (78.323) Epoch: [56][7170/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 2.2938 (2.0161) Prec@1 41.250 (47.955) Prec@5 76.250 (78.322) Epoch: [56][7180/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 1.7485 (2.0160) Prec@1 55.625 (47.956) Prec@5 81.250 (78.323) Epoch: [56][7190/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 2.0847 (2.0161) Prec@1 48.750 (47.953) Prec@5 78.750 (78.322) Epoch: [56][7200/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 2.1832 (2.0162) Prec@1 44.375 (47.953) Prec@5 78.125 (78.321) Epoch: [56][7210/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.2926 (2.0162) Prec@1 38.750 (47.951) Prec@5 73.750 (78.321) Epoch: [56][7220/11272] Time 0.767 (0.798) Data 0.002 (0.002) Loss 2.0772 (2.0163) Prec@1 48.125 (47.950) Prec@5 77.500 (78.319) Epoch: [56][7230/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0458 (2.0164) Prec@1 46.250 (47.947) Prec@5 78.125 (78.318) Epoch: [56][7240/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.9863 (2.0164) Prec@1 50.625 (47.947) Prec@5 80.625 (78.319) Epoch: [56][7250/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0370 (2.0164) Prec@1 46.875 (47.949) Prec@5 76.250 (78.318) Epoch: [56][7260/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 2.0938 (2.0164) Prec@1 44.375 (47.949) Prec@5 73.750 (78.319) Epoch: [56][7270/11272] Time 0.842 (0.798) Data 0.001 (0.002) Loss 1.8996 (2.0165) Prec@1 55.625 (47.950) Prec@5 81.250 (78.319) Epoch: [56][7280/11272] Time 0.852 (0.798) Data 0.001 (0.002) Loss 1.9213 (2.0164) Prec@1 51.250 (47.951) Prec@5 80.625 (78.319) Epoch: [56][7290/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.2234 (2.0165) Prec@1 38.750 (47.949) Prec@5 76.875 (78.319) Epoch: [56][7300/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.9830 (2.0166) Prec@1 48.750 (47.949) Prec@5 80.000 (78.318) Epoch: [56][7310/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.8816 (2.0165) Prec@1 45.625 (47.947) Prec@5 83.125 (78.319) Epoch: [56][7320/11272] Time 0.731 (0.798) Data 0.001 (0.002) Loss 1.9471 (2.0166) Prec@1 52.500 (47.945) Prec@5 78.750 (78.317) Epoch: [56][7330/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 1.9852 (2.0165) Prec@1 51.250 (47.947) Prec@5 78.750 (78.318) Epoch: [56][7340/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 2.2546 (2.0166) Prec@1 45.625 (47.944) Prec@5 76.250 (78.317) Epoch: [56][7350/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 2.0295 (2.0165) Prec@1 47.500 (47.946) Prec@5 81.250 (78.320) Epoch: [56][7360/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.8569 (2.0167) Prec@1 50.000 (47.942) Prec@5 80.625 (78.317) Epoch: [56][7370/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 1.9218 (2.0167) Prec@1 52.500 (47.944) Prec@5 76.250 (78.317) Epoch: [56][7380/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 2.2096 (2.0167) Prec@1 43.750 (47.942) Prec@5 74.375 (78.317) Epoch: [56][7390/11272] Time 0.865 (0.798) Data 0.002 (0.002) Loss 2.1387 (2.0167) Prec@1 45.000 (47.939) Prec@5 76.250 (78.319) Epoch: [56][7400/11272] Time 0.797 (0.798) Data 0.001 (0.002) Loss 2.3345 (2.0168) Prec@1 42.500 (47.938) Prec@5 75.625 (78.318) Epoch: [56][7410/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 1.9345 (2.0168) Prec@1 48.125 (47.938) Prec@5 80.000 (78.318) Epoch: [56][7420/11272] Time 0.908 (0.798) Data 0.001 (0.002) Loss 1.8200 (2.0168) Prec@1 51.875 (47.938) Prec@5 82.500 (78.318) Epoch: [56][7430/11272] Time 0.873 (0.798) Data 0.001 (0.002) Loss 1.9029 (2.0168) Prec@1 50.000 (47.937) Prec@5 78.750 (78.318) Epoch: [56][7440/11272] Time 0.717 (0.798) Data 0.002 (0.002) Loss 1.8384 (2.0167) Prec@1 51.875 (47.937) Prec@5 77.500 (78.318) Epoch: [56][7450/11272] Time 0.815 (0.798) Data 0.002 (0.002) Loss 2.0619 (2.0167) Prec@1 43.750 (47.938) Prec@5 73.750 (78.318) Epoch: [56][7460/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 1.8801 (2.0167) Prec@1 51.875 (47.938) Prec@5 81.250 (78.317) Epoch: [56][7470/11272] Time 0.705 (0.798) Data 0.001 (0.002) Loss 2.0701 (2.0167) Prec@1 48.750 (47.939) Prec@5 74.375 (78.316) Epoch: [56][7480/11272] Time 0.750 (0.798) Data 0.001 (0.002) Loss 2.1715 (2.0167) Prec@1 46.250 (47.938) Prec@5 73.750 (78.316) Epoch: [56][7490/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 2.1521 (2.0168) Prec@1 46.250 (47.937) Prec@5 73.125 (78.315) Epoch: [56][7500/11272] Time 0.867 (0.798) Data 0.001 (0.002) Loss 2.1067 (2.0168) Prec@1 43.125 (47.936) Prec@5 77.500 (78.316) Epoch: [56][7510/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.8096 (2.0167) Prec@1 51.875 (47.938) Prec@5 81.250 (78.317) Epoch: [56][7520/11272] Time 0.771 (0.798) Data 0.002 (0.002) Loss 2.2533 (2.0168) Prec@1 42.500 (47.936) Prec@5 71.875 (78.316) Epoch: [56][7530/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 1.9783 (2.0169) Prec@1 46.250 (47.934) Prec@5 79.375 (78.315) Epoch: [56][7540/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0693 (2.0170) Prec@1 45.625 (47.932) Prec@5 78.750 (78.314) Epoch: [56][7550/11272] Time 0.736 (0.798) Data 0.001 (0.002) Loss 2.0148 (2.0170) Prec@1 46.875 (47.930) Prec@5 76.875 (78.312) Epoch: [56][7560/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 2.0277 (2.0171) Prec@1 48.750 (47.930) Prec@5 78.125 (78.312) Epoch: [56][7570/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.9724 (2.0171) Prec@1 44.375 (47.929) Prec@5 75.000 (78.310) Epoch: [56][7580/11272] Time 0.743 (0.798) Data 0.003 (0.002) Loss 2.1051 (2.0172) Prec@1 46.875 (47.929) Prec@5 78.125 (78.309) Epoch: [56][7590/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.9465 (2.0173) Prec@1 54.375 (47.928) Prec@5 76.250 (78.308) Epoch: [56][7600/11272] Time 0.834 (0.798) Data 0.002 (0.002) Loss 1.9259 (2.0173) Prec@1 49.375 (47.928) Prec@5 80.000 (78.305) Epoch: [56][7610/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.1107 (2.0172) Prec@1 43.125 (47.929) Prec@5 75.625 (78.306) Epoch: [56][7620/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 2.0662 (2.0173) Prec@1 47.500 (47.929) Prec@5 80.000 (78.306) Epoch: [56][7630/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 1.9812 (2.0173) Prec@1 48.125 (47.930) Prec@5 76.250 (78.305) Epoch: [56][7640/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 1.8421 (2.0173) Prec@1 52.500 (47.929) Prec@5 80.000 (78.305) Epoch: [56][7650/11272] Time 0.942 (0.798) Data 0.002 (0.002) Loss 2.1792 (2.0173) Prec@1 44.375 (47.930) Prec@5 75.625 (78.307) Epoch: [56][7660/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.1337 (2.0172) Prec@1 41.875 (47.929) Prec@5 74.375 (78.308) Epoch: [56][7670/11272] Time 0.758 (0.798) Data 0.002 (0.002) Loss 1.9564 (2.0172) Prec@1 45.000 (47.928) Prec@5 83.750 (78.308) Epoch: [56][7680/11272] Time 0.816 (0.798) Data 0.001 (0.002) Loss 1.9885 (2.0172) Prec@1 48.750 (47.929) Prec@5 78.750 (78.307) Epoch: [56][7690/11272] Time 0.897 (0.798) Data 0.002 (0.002) Loss 2.0963 (2.0173) Prec@1 45.625 (47.926) Prec@5 75.625 (78.307) Epoch: [56][7700/11272] Time 0.789 (0.798) Data 0.002 (0.002) Loss 1.9840 (2.0174) Prec@1 45.000 (47.924) Prec@5 80.625 (78.305) Epoch: [56][7710/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 2.1676 (2.0175) Prec@1 43.750 (47.921) Prec@5 73.125 (78.300) Epoch: [56][7720/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 1.9175 (2.0175) Prec@1 47.500 (47.920) Prec@5 81.875 (78.302) Epoch: [56][7730/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 2.3411 (2.0175) Prec@1 41.250 (47.918) Prec@5 71.875 (78.301) Epoch: [56][7740/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.0149 (2.0175) Prec@1 49.375 (47.918) Prec@5 78.125 (78.302) Epoch: [56][7750/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.8477 (2.0176) Prec@1 51.250 (47.917) Prec@5 81.875 (78.300) Epoch: [56][7760/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.9300 (2.0176) Prec@1 53.125 (47.919) Prec@5 78.750 (78.301) Epoch: [56][7770/11272] Time 0.740 (0.798) Data 0.002 (0.002) Loss 1.8245 (2.0175) Prec@1 50.625 (47.920) Prec@5 80.625 (78.303) Epoch: [56][7780/11272] Time 0.753 (0.798) Data 0.001 (0.002) Loss 2.2588 (2.0175) Prec@1 45.625 (47.918) Prec@5 70.625 (78.301) Epoch: [56][7790/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 1.7824 (2.0177) Prec@1 55.000 (47.918) Prec@5 81.875 (78.299) Epoch: [56][7800/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 2.0391 (2.0177) Prec@1 51.250 (47.916) Prec@5 76.250 (78.298) Epoch: [56][7810/11272] Time 0.784 (0.798) Data 0.002 (0.002) Loss 1.8530 (2.0176) Prec@1 48.125 (47.917) Prec@5 81.875 (78.301) Epoch: [56][7820/11272] Time 0.743 (0.798) Data 0.001 (0.002) Loss 1.9143 (2.0176) Prec@1 46.875 (47.919) Prec@5 79.375 (78.302) Epoch: [56][7830/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.0380 (2.0176) Prec@1 47.500 (47.917) Prec@5 80.625 (78.301) Epoch: [56][7840/11272] Time 0.723 (0.798) Data 0.003 (0.002) Loss 1.7567 (2.0175) Prec@1 50.625 (47.918) Prec@5 86.250 (78.304) Epoch: [56][7850/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1693 (2.0175) Prec@1 40.625 (47.915) Prec@5 77.500 (78.305) Epoch: [56][7860/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.9578 (2.0174) Prec@1 53.125 (47.917) Prec@5 79.375 (78.307) Epoch: [56][7870/11272] Time 0.827 (0.798) Data 0.001 (0.002) Loss 2.0591 (2.0175) Prec@1 46.875 (47.915) Prec@5 77.500 (78.305) Epoch: [56][7880/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.7900 (2.0175) Prec@1 50.000 (47.918) Prec@5 86.250 (78.306) Epoch: [56][7890/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.9076 (2.0175) Prec@1 48.125 (47.918) Prec@5 80.625 (78.306) Epoch: [56][7900/11272] Time 0.914 (0.798) Data 0.002 (0.002) Loss 1.5647 (2.0174) Prec@1 59.375 (47.920) Prec@5 86.875 (78.308) Epoch: [56][7910/11272] Time 0.812 (0.798) Data 0.001 (0.002) Loss 1.6868 (2.0174) Prec@1 56.250 (47.922) Prec@5 83.125 (78.308) Epoch: [56][7920/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.8498 (2.0173) Prec@1 50.000 (47.922) Prec@5 79.375 (78.310) Epoch: [56][7930/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0861 (2.0173) Prec@1 47.500 (47.923) Prec@5 74.375 (78.311) Epoch: [56][7940/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.2636 (2.0173) Prec@1 38.125 (47.921) Prec@5 75.000 (78.310) Epoch: [56][7950/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 1.9172 (2.0174) Prec@1 52.500 (47.920) Prec@5 81.250 (78.310) Epoch: [56][7960/11272] Time 0.750 (0.797) Data 0.001 (0.002) Loss 2.1404 (2.0173) Prec@1 43.125 (47.923) Prec@5 75.625 (78.311) Epoch: [56][7970/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9057 (2.0173) Prec@1 48.750 (47.924) Prec@5 84.375 (78.312) Epoch: [56][7980/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.0550 (2.0173) Prec@1 43.750 (47.922) Prec@5 77.500 (78.311) Epoch: [56][7990/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 1.9781 (2.0173) Prec@1 48.125 (47.921) Prec@5 77.500 (78.311) Epoch: [56][8000/11272] Time 0.744 (0.797) Data 0.002 (0.002) Loss 2.0891 (2.0173) Prec@1 46.250 (47.919) Prec@5 76.250 (78.312) Epoch: [56][8010/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 2.1057 (2.0173) Prec@1 44.375 (47.916) Prec@5 76.250 (78.311) Epoch: [56][8020/11272] Time 0.897 (0.797) Data 0.003 (0.002) Loss 2.0154 (2.0173) Prec@1 43.125 (47.914) Prec@5 81.875 (78.311) Epoch: [56][8030/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.2181 (2.0174) Prec@1 45.000 (47.911) Prec@5 80.000 (78.311) Epoch: [56][8040/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1583 (2.0174) Prec@1 40.625 (47.911) Prec@5 76.875 (78.311) Epoch: [56][8050/11272] Time 0.894 (0.797) Data 0.001 (0.002) Loss 2.2474 (2.0175) Prec@1 45.000 (47.909) Prec@5 70.000 (78.309) Epoch: [56][8060/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.8734 (2.0175) Prec@1 53.125 (47.911) Prec@5 80.000 (78.308) Epoch: [56][8070/11272] Time 0.706 (0.797) Data 0.002 (0.002) Loss 2.0715 (2.0175) Prec@1 47.500 (47.910) Prec@5 76.875 (78.309) Epoch: [56][8080/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.0549 (2.0175) Prec@1 48.750 (47.909) Prec@5 78.750 (78.310) Epoch: [56][8090/11272] Time 0.868 (0.797) Data 0.001 (0.002) Loss 2.1036 (2.0175) Prec@1 46.250 (47.909) Prec@5 76.875 (78.308) Epoch: [56][8100/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.8864 (2.0176) Prec@1 43.125 (47.907) Prec@5 79.375 (78.308) Epoch: [56][8110/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0945 (2.0176) Prec@1 46.250 (47.905) Prec@5 76.875 (78.308) Epoch: [56][8120/11272] Time 0.895 (0.797) Data 0.002 (0.002) Loss 2.3280 (2.0177) Prec@1 35.625 (47.905) Prec@5 73.750 (78.308) Epoch: [56][8130/11272] Time 0.848 (0.797) Data 0.001 (0.002) Loss 2.0241 (2.0177) Prec@1 47.500 (47.904) Prec@5 78.750 (78.308) Epoch: [56][8140/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 2.1217 (2.0177) Prec@1 43.125 (47.903) Prec@5 74.375 (78.310) Epoch: [56][8150/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.8620 (2.0176) Prec@1 44.375 (47.904) Prec@5 78.750 (78.312) Epoch: [56][8160/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 2.1427 (2.0176) Prec@1 43.125 (47.902) Prec@5 73.125 (78.310) Epoch: [56][8170/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.1414 (2.0177) Prec@1 50.625 (47.898) Prec@5 75.000 (78.309) Epoch: [56][8180/11272] Time 0.707 (0.797) Data 0.001 (0.002) Loss 1.9026 (2.0177) Prec@1 51.250 (47.898) Prec@5 81.875 (78.309) Epoch: [56][8190/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.3340 (2.0177) Prec@1 43.125 (47.896) Prec@5 70.000 (78.308) Epoch: [56][8200/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 1.9870 (2.0178) Prec@1 48.125 (47.897) Prec@5 80.625 (78.307) Epoch: [56][8210/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.9367 (2.0178) Prec@1 50.000 (47.895) Prec@5 77.500 (78.307) Epoch: [56][8220/11272] Time 0.711 (0.797) Data 0.001 (0.002) Loss 2.0933 (2.0178) Prec@1 45.625 (47.898) Prec@5 76.250 (78.308) Epoch: [56][8230/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 1.9464 (2.0178) Prec@1 52.500 (47.896) Prec@5 83.125 (78.308) Epoch: [56][8240/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.1620 (2.0179) Prec@1 46.250 (47.895) Prec@5 72.500 (78.307) Epoch: [56][8250/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 2.4498 (2.0180) Prec@1 40.625 (47.893) Prec@5 68.125 (78.305) Epoch: [56][8260/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 2.1292 (2.0181) Prec@1 43.125 (47.892) Prec@5 74.375 (78.302) Epoch: [56][8270/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.1502 (2.0181) Prec@1 41.875 (47.891) Prec@5 78.750 (78.302) Epoch: [56][8280/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 1.9960 (2.0180) Prec@1 46.875 (47.892) Prec@5 80.625 (78.303) Epoch: [56][8290/11272] Time 0.714 (0.797) Data 0.002 (0.002) Loss 2.1841 (2.0180) Prec@1 40.625 (47.889) Prec@5 74.375 (78.302) Epoch: [56][8300/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.0008 (2.0181) Prec@1 46.875 (47.889) Prec@5 78.125 (78.302) Epoch: [56][8310/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.2904 (2.0182) Prec@1 43.125 (47.888) Prec@5 74.375 (78.300) Epoch: [56][8320/11272] Time 0.868 (0.797) Data 0.002 (0.002) Loss 1.8275 (2.0181) Prec@1 49.375 (47.889) Prec@5 86.250 (78.300) Epoch: [56][8330/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.8698 (2.0181) Prec@1 47.500 (47.889) Prec@5 80.625 (78.302) Epoch: [56][8340/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 2.2061 (2.0181) Prec@1 41.250 (47.889) Prec@5 76.875 (78.302) Epoch: [56][8350/11272] Time 0.858 (0.797) Data 0.001 (0.002) Loss 1.9693 (2.0181) Prec@1 46.875 (47.888) Prec@5 85.000 (78.302) Epoch: [56][8360/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 1.8662 (2.0182) Prec@1 56.875 (47.887) Prec@5 78.750 (78.300) Epoch: [56][8370/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0873 (2.0182) Prec@1 50.625 (47.888) Prec@5 76.875 (78.302) Epoch: [56][8380/11272] Time 0.920 (0.798) Data 0.002 (0.002) Loss 2.0139 (2.0183) Prec@1 46.250 (47.886) Prec@5 80.000 (78.301) Epoch: [56][8390/11272] Time 0.885 (0.798) Data 0.002 (0.002) Loss 2.0964 (2.0184) Prec@1 45.000 (47.882) Prec@5 81.250 (78.301) Epoch: [56][8400/11272] Time 0.724 (0.798) Data 0.001 (0.002) Loss 1.8423 (2.0185) Prec@1 51.250 (47.882) Prec@5 81.875 (78.298) Epoch: [56][8410/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.1320 (2.0185) Prec@1 43.750 (47.880) Prec@5 75.000 (78.298) Epoch: [56][8420/11272] Time 0.854 (0.798) Data 0.001 (0.002) Loss 2.1920 (2.0186) Prec@1 40.625 (47.879) Prec@5 77.500 (78.297) Epoch: [56][8430/11272] Time 0.898 (0.798) Data 0.002 (0.002) Loss 2.0847 (2.0185) Prec@1 43.125 (47.880) Prec@5 77.500 (78.298) Epoch: [56][8440/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 2.0523 (2.0185) Prec@1 48.125 (47.883) Prec@5 78.750 (78.300) Epoch: [56][8450/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 1.8393 (2.0185) Prec@1 46.875 (47.881) Prec@5 82.500 (78.301) Epoch: [56][8460/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 1.9580 (2.0185) Prec@1 52.500 (47.882) Prec@5 77.500 (78.301) Epoch: [56][8470/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 2.0203 (2.0185) Prec@1 47.500 (47.879) Prec@5 76.250 (78.300) Epoch: [56][8480/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 1.8370 (2.0185) Prec@1 51.875 (47.879) Prec@5 82.500 (78.300) Epoch: [56][8490/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.1642 (2.0185) Prec@1 42.500 (47.878) Prec@5 75.625 (78.300) Epoch: [56][8500/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.0563 (2.0184) Prec@1 46.250 (47.878) Prec@5 77.500 (78.301) Epoch: [56][8510/11272] Time 0.769 (0.797) Data 0.004 (0.002) Loss 2.2295 (2.0186) Prec@1 41.250 (47.874) Prec@5 74.375 (78.298) Epoch: [56][8520/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 2.1356 (2.0186) Prec@1 43.750 (47.872) Prec@5 75.625 (78.297) Epoch: [56][8530/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.7759 (2.0186) Prec@1 56.250 (47.872) Prec@5 80.625 (78.297) Epoch: [56][8540/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 1.9921 (2.0186) Prec@1 53.750 (47.872) Prec@5 80.000 (78.297) Epoch: [56][8550/11272] Time 0.720 (0.797) Data 0.002 (0.002) Loss 1.7386 (2.0186) Prec@1 56.875 (47.874) Prec@5 83.125 (78.297) Epoch: [56][8560/11272] Time 0.740 (0.797) Data 0.001 (0.002) Loss 1.8292 (2.0186) Prec@1 52.500 (47.875) Prec@5 81.250 (78.298) Epoch: [56][8570/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.1415 (2.0185) Prec@1 44.375 (47.872) Prec@5 73.750 (78.298) Epoch: [56][8580/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 1.9715 (2.0186) Prec@1 48.750 (47.872) Prec@5 77.500 (78.297) Epoch: [56][8590/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 2.0200 (2.0186) Prec@1 50.000 (47.871) Prec@5 78.750 (78.296) Epoch: [56][8600/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 1.9821 (2.0186) Prec@1 51.250 (47.871) Prec@5 80.000 (78.296) Epoch: [56][8610/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 2.0685 (2.0187) Prec@1 46.875 (47.870) Prec@5 79.375 (78.295) Epoch: [56][8620/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 2.4552 (2.0187) Prec@1 36.250 (47.869) Prec@5 70.625 (78.293) Epoch: [56][8630/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.9719 (2.0187) Prec@1 48.750 (47.868) Prec@5 80.000 (78.294) Epoch: [56][8640/11272] Time 0.823 (0.798) Data 0.002 (0.002) Loss 1.9995 (2.0188) Prec@1 44.375 (47.866) Prec@5 78.750 (78.292) Epoch: [56][8650/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 2.2216 (2.0188) Prec@1 46.875 (47.865) Prec@5 76.875 (78.292) Epoch: [56][8660/11272] Time 0.740 (0.798) Data 0.001 (0.002) Loss 2.0509 (2.0189) Prec@1 46.875 (47.863) Prec@5 76.250 (78.291) Epoch: [56][8670/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.8803 (2.0189) Prec@1 50.000 (47.863) Prec@5 80.000 (78.291) Epoch: [56][8680/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1825 (2.0189) Prec@1 43.750 (47.863) Prec@5 74.375 (78.291) Epoch: [56][8690/11272] Time 0.894 (0.797) Data 0.002 (0.002) Loss 2.1191 (2.0189) Prec@1 41.250 (47.863) Prec@5 76.250 (78.292) Epoch: [56][8700/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.7652 (2.0189) Prec@1 55.625 (47.864) Prec@5 83.125 (78.293) Epoch: [56][8710/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 1.9794 (2.0188) Prec@1 46.875 (47.863) Prec@5 78.125 (78.293) Epoch: [56][8720/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 1.9765 (2.0189) Prec@1 50.625 (47.863) Prec@5 80.000 (78.293) Epoch: [56][8730/11272] Time 0.872 (0.797) Data 0.002 (0.002) Loss 2.1333 (2.0189) Prec@1 43.125 (47.863) Prec@5 75.000 (78.293) Epoch: [56][8740/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 2.0855 (2.0189) Prec@1 49.375 (47.861) Prec@5 76.250 (78.293) Epoch: [56][8750/11272] Time 0.700 (0.797) Data 0.001 (0.002) Loss 1.8026 (2.0189) Prec@1 50.625 (47.863) Prec@5 85.625 (78.293) Epoch: [56][8760/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 2.1075 (2.0189) Prec@1 46.875 (47.863) Prec@5 76.250 (78.292) Epoch: [56][8770/11272] Time 0.758 (0.797) Data 0.001 (0.002) Loss 1.9915 (2.0189) Prec@1 49.375 (47.865) Prec@5 81.250 (78.293) Epoch: [56][8780/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9880 (2.0189) Prec@1 52.500 (47.866) Prec@5 78.125 (78.293) Epoch: [56][8790/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.7705 (2.0189) Prec@1 53.750 (47.865) Prec@5 81.250 (78.293) Epoch: [56][8800/11272] Time 0.801 (0.797) Data 0.001 (0.002) Loss 2.0760 (2.0189) Prec@1 44.375 (47.865) Prec@5 76.875 (78.294) Epoch: [56][8810/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 1.9665 (2.0189) Prec@1 46.250 (47.866) Prec@5 79.375 (78.293) Epoch: [56][8820/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1759 (2.0190) Prec@1 46.250 (47.864) Prec@5 76.250 (78.292) Epoch: [56][8830/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.7103 (2.0190) Prec@1 56.875 (47.866) Prec@5 84.375 (78.293) Epoch: [56][8840/11272] Time 0.918 (0.797) Data 0.002 (0.002) Loss 2.2351 (2.0190) Prec@1 45.000 (47.864) Prec@5 75.000 (78.293) Epoch: [56][8850/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.0547 (2.0191) Prec@1 46.250 (47.863) Prec@5 76.875 (78.291) Epoch: [56][8860/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.1449 (2.0191) Prec@1 45.625 (47.862) Prec@5 77.500 (78.291) Epoch: [56][8870/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.9320 (2.0192) Prec@1 49.375 (47.862) Prec@5 82.500 (78.289) Epoch: [56][8880/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.2087 (2.0192) Prec@1 45.625 (47.862) Prec@5 73.125 (78.289) Epoch: [56][8890/11272] Time 0.748 (0.797) Data 0.001 (0.002) Loss 2.1769 (2.0192) Prec@1 45.625 (47.861) Prec@5 74.375 (78.288) Epoch: [56][8900/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.9498 (2.0192) Prec@1 51.875 (47.862) Prec@5 80.625 (78.288) Epoch: [56][8910/11272] Time 0.890 (0.797) Data 0.002 (0.002) Loss 2.0468 (2.0192) Prec@1 51.250 (47.862) Prec@5 79.375 (78.288) Epoch: [56][8920/11272] Time 0.717 (0.797) Data 0.002 (0.002) Loss 2.2275 (2.0192) Prec@1 45.625 (47.862) Prec@5 75.000 (78.288) Epoch: [56][8930/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.1275 (2.0193) Prec@1 45.625 (47.860) Prec@5 77.500 (78.286) Epoch: [56][8940/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 2.0972 (2.0193) Prec@1 46.250 (47.860) Prec@5 81.250 (78.286) Epoch: [56][8950/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 2.0700 (2.0193) Prec@1 45.625 (47.859) Prec@5 78.750 (78.287) Epoch: [56][8960/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.0014 (2.0193) Prec@1 50.625 (47.861) Prec@5 78.125 (78.288) Epoch: [56][8970/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.0485 (2.0192) Prec@1 46.250 (47.861) Prec@5 78.125 (78.288) Epoch: [56][8980/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.8997 (2.0193) Prec@1 51.875 (47.860) Prec@5 79.375 (78.287) Epoch: [56][8990/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0356 (2.0193) Prec@1 46.875 (47.860) Prec@5 80.000 (78.287) Epoch: [56][9000/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 2.0475 (2.0193) Prec@1 45.625 (47.859) Prec@5 78.750 (78.287) Epoch: [56][9010/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 1.9443 (2.0194) Prec@1 47.500 (47.856) Prec@5 83.125 (78.286) Epoch: [56][9020/11272] Time 0.791 (0.797) Data 0.001 (0.002) Loss 1.9082 (2.0194) Prec@1 47.500 (47.857) Prec@5 78.125 (78.286) Epoch: [56][9030/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.4005 (2.0194) Prec@1 41.250 (47.855) Prec@5 72.500 (78.286) Epoch: [56][9040/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 2.1881 (2.0194) Prec@1 37.500 (47.854) Prec@5 75.000 (78.283) Epoch: [56][9050/11272] Time 0.870 (0.797) Data 0.001 (0.002) Loss 2.1285 (2.0195) Prec@1 47.500 (47.851) Prec@5 76.875 (78.284) Epoch: [56][9060/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.9530 (2.0195) Prec@1 47.500 (47.852) Prec@5 81.250 (78.285) Epoch: [56][9070/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 1.7522 (2.0194) Prec@1 55.000 (47.852) Prec@5 78.125 (78.285) Epoch: [56][9080/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 2.0703 (2.0195) Prec@1 46.875 (47.849) Prec@5 75.000 (78.282) Epoch: [56][9090/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 2.0048 (2.0195) Prec@1 45.625 (47.849) Prec@5 80.625 (78.285) Epoch: [56][9100/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 1.9950 (2.0194) Prec@1 46.875 (47.851) Prec@5 80.625 (78.286) Epoch: [56][9110/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.0880 (2.0194) Prec@1 44.375 (47.849) Prec@5 74.375 (78.285) Epoch: [56][9120/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.8590 (2.0194) Prec@1 50.000 (47.847) Prec@5 80.000 (78.285) Epoch: [56][9130/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9835 (2.0194) Prec@1 48.750 (47.849) Prec@5 82.500 (78.286) Epoch: [56][9140/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 1.8864 (2.0194) Prec@1 53.125 (47.849) Prec@5 80.625 (78.287) Epoch: [56][9150/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.1415 (2.0194) Prec@1 48.750 (47.849) Prec@5 76.875 (78.284) Epoch: [56][9160/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.8811 (2.0194) Prec@1 47.500 (47.848) Prec@5 81.875 (78.285) Epoch: [56][9170/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.9742 (2.0194) Prec@1 48.125 (47.848) Prec@5 81.250 (78.286) Epoch: [56][9180/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 2.0114 (2.0194) Prec@1 48.125 (47.848) Prec@5 79.375 (78.287) Epoch: [56][9190/11272] Time 0.722 (0.797) Data 0.001 (0.002) Loss 1.9987 (2.0194) Prec@1 53.125 (47.849) Prec@5 77.500 (78.286) Epoch: [56][9200/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.0031 (2.0194) Prec@1 47.500 (47.847) Prec@5 78.125 (78.285) Epoch: [56][9210/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.0714 (2.0194) Prec@1 43.750 (47.846) Prec@5 77.500 (78.285) Epoch: [56][9220/11272] Time 0.743 (0.797) Data 0.001 (0.002) Loss 1.9217 (2.0194) Prec@1 47.500 (47.845) Prec@5 80.625 (78.286) Epoch: [56][9230/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0332 (2.0195) Prec@1 50.000 (47.844) Prec@5 78.125 (78.283) Epoch: [56][9240/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.3233 (2.0196) Prec@1 43.750 (47.846) Prec@5 76.250 (78.284) Epoch: [56][9250/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 2.0239 (2.0196) Prec@1 48.750 (47.844) Prec@5 80.000 (78.285) Epoch: [56][9260/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9283 (2.0196) Prec@1 48.750 (47.843) Prec@5 79.375 (78.285) Epoch: [56][9270/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9672 (2.0195) Prec@1 46.250 (47.845) Prec@5 78.125 (78.286) Epoch: [56][9280/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0516 (2.0195) Prec@1 46.250 (47.844) Prec@5 76.250 (78.286) Epoch: [56][9290/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9125 (2.0195) Prec@1 49.375 (47.846) Prec@5 80.000 (78.286) Epoch: [56][9300/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 1.7180 (2.0195) Prec@1 55.625 (47.847) Prec@5 83.750 (78.287) Epoch: [56][9310/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.2435 (2.0195) Prec@1 46.875 (47.846) Prec@5 71.250 (78.286) Epoch: [56][9320/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 2.1305 (2.0195) Prec@1 46.875 (47.845) Prec@5 75.625 (78.285) Epoch: [56][9330/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.8316 (2.0195) Prec@1 52.500 (47.845) Prec@5 83.750 (78.286) Epoch: [56][9340/11272] Time 0.755 (0.797) Data 0.002 (0.002) Loss 1.9734 (2.0195) Prec@1 47.500 (47.845) Prec@5 80.000 (78.285) Epoch: [56][9350/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 2.0024 (2.0195) Prec@1 45.625 (47.845) Prec@5 82.500 (78.286) Epoch: [56][9360/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.8363 (2.0195) Prec@1 50.625 (47.846) Prec@5 82.500 (78.287) Epoch: [56][9370/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.2259 (2.0196) Prec@1 44.375 (47.845) Prec@5 75.000 (78.285) Epoch: [56][9380/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 1.8632 (2.0195) Prec@1 48.750 (47.846) Prec@5 80.000 (78.287) Epoch: [56][9390/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1048 (2.0196) Prec@1 43.750 (47.844) Prec@5 75.000 (78.285) Epoch: [56][9400/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.0645 (2.0195) Prec@1 51.250 (47.846) Prec@5 76.250 (78.286) Epoch: [56][9410/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 2.0498 (2.0195) Prec@1 46.250 (47.848) Prec@5 77.500 (78.287) Epoch: [56][9420/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 1.8397 (2.0195) Prec@1 48.125 (47.847) Prec@5 83.125 (78.287) Epoch: [56][9430/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 2.1055 (2.0195) Prec@1 43.125 (47.846) Prec@5 78.750 (78.288) Epoch: [56][9440/11272] Time 0.776 (0.797) Data 0.003 (0.002) Loss 2.1984 (2.0195) Prec@1 45.000 (47.848) Prec@5 78.125 (78.288) Epoch: [56][9450/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 1.9356 (2.0195) Prec@1 52.500 (47.850) Prec@5 76.250 (78.287) Epoch: [56][9460/11272] Time 0.888 (0.797) Data 0.002 (0.002) Loss 2.0096 (2.0195) Prec@1 49.375 (47.849) Prec@5 76.250 (78.286) Epoch: [56][9470/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.9038 (2.0195) Prec@1 51.875 (47.850) Prec@5 78.750 (78.286) Epoch: [56][9480/11272] Time 0.754 (0.797) Data 0.002 (0.002) Loss 1.9830 (2.0195) Prec@1 48.125 (47.851) Prec@5 80.000 (78.288) Epoch: [56][9490/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.0312 (2.0196) Prec@1 46.875 (47.848) Prec@5 74.375 (78.286) Epoch: [56][9500/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 1.9707 (2.0196) Prec@1 51.250 (47.848) Prec@5 78.125 (78.285) Epoch: [56][9510/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.9829 (2.0196) Prec@1 48.750 (47.849) Prec@5 81.875 (78.285) Epoch: [56][9520/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9748 (2.0196) Prec@1 48.125 (47.849) Prec@5 78.125 (78.284) Epoch: [56][9530/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.6621 (2.0195) Prec@1 60.000 (47.850) Prec@5 83.750 (78.286) Epoch: [56][9540/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.8191 (2.0195) Prec@1 55.625 (47.851) Prec@5 84.375 (78.288) Epoch: [56][9550/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 1.7599 (2.0194) Prec@1 51.875 (47.853) Prec@5 82.500 (78.289) Epoch: [56][9560/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 2.2476 (2.0194) Prec@1 44.375 (47.851) Prec@5 70.625 (78.287) Epoch: [56][9570/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.9083 (2.0194) Prec@1 50.000 (47.852) Prec@5 85.000 (78.288) Epoch: [56][9580/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.7866 (2.0194) Prec@1 57.500 (47.853) Prec@5 81.250 (78.287) Epoch: [56][9590/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 2.0234 (2.0194) Prec@1 46.875 (47.853) Prec@5 76.875 (78.287) Epoch: [56][9600/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 2.1205 (2.0194) Prec@1 45.000 (47.853) Prec@5 73.750 (78.286) Epoch: [56][9610/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0757 (2.0195) Prec@1 45.625 (47.852) Prec@5 77.500 (78.284) Epoch: [56][9620/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.9651 (2.0195) Prec@1 46.250 (47.851) Prec@5 77.500 (78.284) Epoch: [56][9630/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2401 (2.0195) Prec@1 39.375 (47.850) Prec@5 71.875 (78.284) Epoch: [56][9640/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.9888 (2.0196) Prec@1 46.875 (47.851) Prec@5 75.000 (78.284) Epoch: [56][9650/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.9697 (2.0196) Prec@1 48.125 (47.849) Prec@5 78.750 (78.283) Epoch: [56][9660/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.8984 (2.0197) Prec@1 53.125 (47.850) Prec@5 81.250 (78.284) Epoch: [56][9670/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.0483 (2.0196) Prec@1 43.125 (47.849) Prec@5 80.625 (78.284) Epoch: [56][9680/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 2.0286 (2.0197) Prec@1 50.625 (47.849) Prec@5 76.250 (78.282) Epoch: [56][9690/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 2.4846 (2.0197) Prec@1 43.125 (47.850) Prec@5 67.500 (78.280) Epoch: [56][9700/11272] Time 0.816 (0.797) Data 0.004 (0.002) Loss 1.9238 (2.0197) Prec@1 49.375 (47.852) Prec@5 81.250 (78.280) Epoch: [56][9710/11272] Time 0.770 (0.797) Data 0.001 (0.002) Loss 2.4105 (2.0198) Prec@1 38.750 (47.849) Prec@5 71.875 (78.278) Epoch: [56][9720/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 1.9240 (2.0198) Prec@1 46.875 (47.848) Prec@5 78.750 (78.277) Epoch: [56][9730/11272] Time 0.896 (0.797) Data 0.002 (0.002) Loss 1.9379 (2.0199) Prec@1 52.500 (47.849) Prec@5 79.375 (78.276) Epoch: [56][9740/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.8700 (2.0199) Prec@1 53.750 (47.849) Prec@5 76.250 (78.275) Epoch: [56][9750/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 1.9417 (2.0199) Prec@1 50.625 (47.848) Prec@5 80.000 (78.274) Epoch: [56][9760/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.0858 (2.0199) Prec@1 48.125 (47.849) Prec@5 73.125 (78.274) Epoch: [56][9770/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0005 (2.0199) Prec@1 46.250 (47.850) Prec@5 76.250 (78.273) Epoch: [56][9780/11272] Time 0.720 (0.797) Data 0.002 (0.002) Loss 1.8806 (2.0199) Prec@1 53.125 (47.848) Prec@5 78.125 (78.272) Epoch: [56][9790/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 2.0117 (2.0199) Prec@1 45.625 (47.849) Prec@5 77.500 (78.271) Epoch: [56][9800/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 1.8227 (2.0199) Prec@1 48.750 (47.849) Prec@5 81.875 (78.272) Epoch: [56][9810/11272] Time 0.867 (0.797) Data 0.001 (0.002) Loss 1.9817 (2.0199) Prec@1 47.500 (47.847) Prec@5 83.125 (78.272) Epoch: [56][9820/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.0170 (2.0199) Prec@1 50.625 (47.848) Prec@5 79.375 (78.274) Epoch: [56][9830/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 2.0031 (2.0199) Prec@1 43.750 (47.848) Prec@5 77.500 (78.273) Epoch: [56][9840/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 2.1695 (2.0199) Prec@1 40.000 (47.849) Prec@5 76.875 (78.273) Epoch: [56][9850/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.9224 (2.0199) Prec@1 46.875 (47.849) Prec@5 80.000 (78.273) Epoch: [56][9860/11272] Time 0.718 (0.797) Data 0.002 (0.002) Loss 1.9882 (2.0199) Prec@1 46.875 (47.850) Prec@5 76.875 (78.273) Epoch: [56][9870/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.1663 (2.0199) Prec@1 46.875 (47.848) Prec@5 75.000 (78.273) Epoch: [56][9880/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 2.1123 (2.0200) Prec@1 43.750 (47.846) Prec@5 75.625 (78.273) Epoch: [56][9890/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 2.1615 (2.0200) Prec@1 41.875 (47.847) Prec@5 78.750 (78.273) Epoch: [56][9900/11272] Time 0.715 (0.797) Data 0.001 (0.002) Loss 1.8246 (2.0200) Prec@1 48.750 (47.847) Prec@5 81.250 (78.274) Epoch: [56][9910/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 1.9546 (2.0199) Prec@1 52.500 (47.848) Prec@5 78.125 (78.274) Epoch: [56][9920/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 2.1384 (2.0199) Prec@1 50.000 (47.849) Prec@5 76.250 (78.274) Epoch: [56][9930/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 2.1941 (2.0200) Prec@1 41.875 (47.848) Prec@5 77.500 (78.275) Epoch: [56][9940/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 2.0239 (2.0199) Prec@1 48.750 (47.849) Prec@5 79.375 (78.276) Epoch: [56][9950/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 1.7920 (2.0199) Prec@1 55.625 (47.850) Prec@5 80.625 (78.275) Epoch: [56][9960/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 2.1600 (2.0200) Prec@1 45.000 (47.848) Prec@5 76.250 (78.275) Epoch: [56][9970/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.0166 (2.0200) Prec@1 48.750 (47.848) Prec@5 80.625 (78.277) Epoch: [56][9980/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 2.0601 (2.0200) Prec@1 48.125 (47.848) Prec@5 76.875 (78.275) Epoch: [56][9990/11272] Time 0.912 (0.797) Data 0.001 (0.002) Loss 1.9790 (2.0200) Prec@1 53.750 (47.848) Prec@5 75.000 (78.275) Epoch: [56][10000/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.7266 (2.0200) Prec@1 54.375 (47.849) Prec@5 83.125 (78.277) Epoch: [56][10010/11272] Time 0.716 (0.797) Data 0.001 (0.002) Loss 2.1518 (2.0200) Prec@1 50.000 (47.850) Prec@5 80.625 (78.276) Epoch: [56][10020/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 2.0705 (2.0200) Prec@1 49.375 (47.850) Prec@5 78.125 (78.276) Epoch: [56][10030/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 2.0824 (2.0200) Prec@1 45.625 (47.850) Prec@5 76.250 (78.276) Epoch: [56][10040/11272] Time 0.769 (0.797) Data 0.001 (0.002) Loss 2.1445 (2.0200) Prec@1 48.125 (47.851) Prec@5 75.625 (78.277) Epoch: [56][10050/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.4170 (2.0200) Prec@1 39.375 (47.849) Prec@5 72.500 (78.276) Epoch: [56][10060/11272] Time 0.895 (0.797) Data 0.001 (0.002) Loss 2.0734 (2.0200) Prec@1 50.625 (47.850) Prec@5 73.750 (78.276) Epoch: [56][10070/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 1.7997 (2.0200) Prec@1 53.125 (47.853) Prec@5 81.250 (78.276) Epoch: [56][10080/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 2.1180 (2.0200) Prec@1 45.625 (47.854) Prec@5 75.000 (78.275) Epoch: [56][10090/11272] Time 0.744 (0.797) Data 0.001 (0.002) Loss 2.2631 (2.0200) Prec@1 43.750 (47.853) Prec@5 73.750 (78.275) Epoch: [56][10100/11272] Time 0.856 (0.797) Data 0.002 (0.002) Loss 2.1025 (2.0201) Prec@1 50.000 (47.853) Prec@5 73.125 (78.273) Epoch: [56][10110/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 2.4923 (2.0201) Prec@1 36.875 (47.851) Prec@5 69.375 (78.273) Epoch: [56][10120/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.9579 (2.0201) Prec@1 48.750 (47.851) Prec@5 78.750 (78.272) Epoch: [56][10130/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.9526 (2.0202) Prec@1 57.500 (47.850) Prec@5 78.125 (78.271) Epoch: [56][10140/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.0977 (2.0203) Prec@1 48.125 (47.848) Prec@5 75.000 (78.270) Epoch: [56][10150/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.1170 (2.0204) Prec@1 44.375 (47.846) Prec@5 73.125 (78.268) Epoch: [56][10160/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 2.0802 (2.0204) Prec@1 43.125 (47.844) Prec@5 78.125 (78.268) Epoch: [56][10170/11272] Time 0.827 (0.797) Data 0.002 (0.002) Loss 2.0297 (2.0204) Prec@1 48.125 (47.843) Prec@5 76.875 (78.267) Epoch: [56][10180/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1458 (2.0204) Prec@1 45.000 (47.844) Prec@5 78.125 (78.268) Epoch: [56][10190/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.0252 (2.0204) Prec@1 48.125 (47.844) Prec@5 78.125 (78.268) Epoch: [56][10200/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.9682 (2.0205) Prec@1 50.625 (47.844) Prec@5 80.625 (78.268) Epoch: [56][10210/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.0948 (2.0206) Prec@1 52.500 (47.843) Prec@5 78.750 (78.268) Epoch: [56][10220/11272] Time 0.847 (0.797) Data 0.002 (0.002) Loss 2.0127 (2.0206) Prec@1 51.875 (47.844) Prec@5 75.000 (78.268) Epoch: [56][10230/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 2.1119 (2.0207) Prec@1 43.125 (47.843) Prec@5 80.000 (78.267) Epoch: [56][10240/11272] Time 0.845 (0.797) Data 0.002 (0.002) Loss 2.1308 (2.0207) Prec@1 41.875 (47.844) Prec@5 77.500 (78.269) Epoch: [56][10250/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.2177 (2.0207) Prec@1 41.875 (47.843) Prec@5 74.375 (78.270) Epoch: [56][10260/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.9893 (2.0208) Prec@1 45.625 (47.841) Prec@5 78.125 (78.267) Epoch: [56][10270/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.3440 (2.0208) Prec@1 44.375 (47.840) Prec@5 70.625 (78.267) Epoch: [56][10280/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 1.9292 (2.0208) Prec@1 48.750 (47.839) Prec@5 81.250 (78.268) Epoch: [56][10290/11272] Time 0.883 (0.797) Data 0.002 (0.002) Loss 2.0481 (2.0208) Prec@1 45.625 (47.840) Prec@5 82.500 (78.270) Epoch: [56][10300/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.1766 (2.0208) Prec@1 41.250 (47.841) Prec@5 76.250 (78.269) Epoch: [56][10310/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 1.9678 (2.0208) Prec@1 47.500 (47.839) Prec@5 78.750 (78.270) Epoch: [56][10320/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 1.9483 (2.0208) Prec@1 45.625 (47.838) Prec@5 81.875 (78.270) Epoch: [56][10330/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 1.9800 (2.0209) Prec@1 47.500 (47.836) Prec@5 81.250 (78.269) Epoch: [56][10340/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.9850 (2.0209) Prec@1 46.250 (47.835) Prec@5 78.750 (78.270) Epoch: [56][10350/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.3422 (2.0210) Prec@1 43.125 (47.833) Prec@5 72.500 (78.268) Epoch: [56][10360/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.9161 (2.0210) Prec@1 48.125 (47.834) Prec@5 80.000 (78.268) Epoch: [56][10370/11272] Time 0.740 (0.797) Data 0.003 (0.002) Loss 2.1397 (2.0209) Prec@1 43.125 (47.835) Prec@5 78.125 (78.271) Epoch: [56][10380/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 2.1713 (2.0210) Prec@1 46.875 (47.834) Prec@5 74.375 (78.268) Epoch: [56][10390/11272] Time 0.865 (0.797) Data 0.002 (0.002) Loss 1.9504 (2.0210) Prec@1 48.750 (47.835) Prec@5 80.625 (78.268) Epoch: [56][10400/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 1.9225 (2.0210) Prec@1 50.000 (47.835) Prec@5 75.000 (78.267) Epoch: [56][10410/11272] Time 0.767 (0.797) Data 0.002 (0.002) Loss 1.9720 (2.0210) Prec@1 48.125 (47.836) Prec@5 76.875 (78.267) Epoch: [56][10420/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0307 (2.0210) Prec@1 50.625 (47.834) Prec@5 75.625 (78.267) Epoch: [56][10430/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.0708 (2.0211) Prec@1 47.500 (47.834) Prec@5 81.250 (78.266) Epoch: [56][10440/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 2.1469 (2.0211) Prec@1 45.625 (47.833) Prec@5 79.375 (78.266) Epoch: [56][10450/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.7987 (2.0211) Prec@1 55.625 (47.834) Prec@5 81.875 (78.264) Epoch: [56][10460/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 2.0838 (2.0212) Prec@1 43.750 (47.833) Prec@5 78.750 (78.264) Epoch: [56][10470/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 1.8379 (2.0212) Prec@1 55.000 (47.833) Prec@5 78.125 (78.263) Epoch: [56][10480/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.9177 (2.0212) Prec@1 52.500 (47.831) Prec@5 83.125 (78.262) Epoch: [56][10490/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.1588 (2.0212) Prec@1 43.125 (47.831) Prec@5 75.000 (78.262) Epoch: [56][10500/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 1.9820 (2.0212) Prec@1 51.250 (47.830) Prec@5 76.250 (78.262) Epoch: [56][10510/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.1109 (2.0212) Prec@1 43.750 (47.830) Prec@5 75.000 (78.262) Epoch: [56][10520/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.9247 (2.0212) Prec@1 55.000 (47.832) Prec@5 76.875 (78.262) Epoch: [56][10530/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.8046 (2.0212) Prec@1 53.750 (47.832) Prec@5 83.750 (78.261) Epoch: [56][10540/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.7880 (2.0211) Prec@1 50.625 (47.835) Prec@5 85.625 (78.264) Epoch: [56][10550/11272] Time 0.832 (0.797) Data 0.001 (0.002) Loss 2.0284 (2.0211) Prec@1 50.000 (47.836) Prec@5 76.250 (78.264) Epoch: [56][10560/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.9602 (2.0211) Prec@1 45.000 (47.836) Prec@5 79.375 (78.264) Epoch: [56][10570/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9093 (2.0211) Prec@1 50.625 (47.835) Prec@5 81.875 (78.264) Epoch: [56][10580/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.8961 (2.0211) Prec@1 51.250 (47.837) Prec@5 82.500 (78.264) Epoch: [56][10590/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 2.0365 (2.0211) Prec@1 46.875 (47.838) Prec@5 76.875 (78.264) Epoch: [56][10600/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 2.1885 (2.0211) Prec@1 41.875 (47.837) Prec@5 76.875 (78.264) Epoch: [56][10610/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.9635 (2.0211) Prec@1 46.250 (47.836) Prec@5 76.250 (78.264) Epoch: [56][10620/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.8278 (2.0211) Prec@1 54.375 (47.836) Prec@5 82.500 (78.264) Epoch: [56][10630/11272] Time 0.737 (0.797) Data 0.003 (0.002) Loss 2.0730 (2.0211) Prec@1 47.500 (47.836) Prec@5 78.125 (78.265) Epoch: [56][10640/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2245 (2.0211) Prec@1 36.875 (47.835) Prec@5 77.500 (78.265) Epoch: [56][10650/11272] Time 0.849 (0.797) Data 0.002 (0.002) Loss 1.9328 (2.0212) Prec@1 53.750 (47.832) Prec@5 76.875 (78.264) Epoch: [56][10660/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 2.2082 (2.0212) Prec@1 42.500 (47.833) Prec@5 75.625 (78.264) Epoch: [56][10670/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.8272 (2.0212) Prec@1 51.875 (47.831) Prec@5 83.125 (78.264) Epoch: [56][10680/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.0429 (2.0212) Prec@1 45.000 (47.831) Prec@5 84.375 (78.265) Epoch: [56][10690/11272] Time 0.852 (0.797) Data 0.001 (0.002) Loss 2.1381 (2.0212) Prec@1 45.625 (47.831) Prec@5 73.125 (78.266) Epoch: [56][10700/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.2894 (2.0213) Prec@1 41.250 (47.827) Prec@5 74.375 (78.264) Epoch: [56][10710/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 1.8547 (2.0213) Prec@1 44.375 (47.828) Prec@5 85.625 (78.265) Epoch: [56][10720/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.8143 (2.0213) Prec@1 53.750 (47.828) Prec@5 78.750 (78.266) Epoch: [56][10730/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 1.9192 (2.0212) Prec@1 50.000 (47.828) Prec@5 81.875 (78.266) Epoch: [56][10740/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 1.9550 (2.0213) Prec@1 45.000 (47.825) Prec@5 79.375 (78.267) Epoch: [56][10750/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 2.0755 (2.0213) Prec@1 44.375 (47.823) Prec@5 78.750 (78.266) Epoch: [56][10760/11272] Time 0.870 (0.797) Data 0.002 (0.002) Loss 2.2889 (2.0214) Prec@1 40.625 (47.820) Prec@5 71.875 (78.265) Epoch: [56][10770/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.0116 (2.0215) Prec@1 46.875 (47.818) Prec@5 79.375 (78.264) Epoch: [56][10780/11272] Time 0.763 (0.797) Data 0.001 (0.002) Loss 2.2653 (2.0215) Prec@1 45.000 (47.818) Prec@5 76.250 (78.263) Epoch: [56][10790/11272] Time 0.745 (0.797) Data 0.001 (0.002) Loss 1.8512 (2.0216) Prec@1 50.625 (47.816) Prec@5 83.125 (78.262) Epoch: [56][10800/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 1.9131 (2.0216) Prec@1 48.750 (47.815) Prec@5 80.000 (78.261) Epoch: [56][10810/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 2.0278 (2.0216) Prec@1 49.375 (47.816) Prec@5 75.000 (78.262) Epoch: [56][10820/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 1.8843 (2.0216) Prec@1 50.000 (47.816) Prec@5 78.750 (78.261) Epoch: [56][10830/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 2.1293 (2.0217) Prec@1 45.000 (47.814) Prec@5 77.500 (78.260) Epoch: [56][10840/11272] Time 0.864 (0.797) Data 0.002 (0.002) Loss 2.1616 (2.0218) Prec@1 45.625 (47.813) Prec@5 76.875 (78.258) Epoch: [56][10850/11272] Time 0.791 (0.797) Data 0.001 (0.002) Loss 1.9367 (2.0218) Prec@1 50.625 (47.812) Prec@5 77.500 (78.256) Epoch: [56][10860/11272] Time 0.781 (0.797) Data 0.003 (0.002) Loss 1.8642 (2.0219) Prec@1 50.000 (47.811) Prec@5 81.875 (78.256) Epoch: [56][10870/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 2.0982 (2.0219) Prec@1 45.000 (47.811) Prec@5 77.500 (78.255) Epoch: [56][10880/11272] Time 0.853 (0.797) Data 0.002 (0.002) Loss 2.2113 (2.0220) Prec@1 45.000 (47.809) Prec@5 74.375 (78.255) Epoch: [56][10890/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.1595 (2.0220) Prec@1 44.375 (47.810) Prec@5 73.750 (78.255) Epoch: [56][10900/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.1177 (2.0220) Prec@1 43.750 (47.810) Prec@5 78.750 (78.254) Epoch: [56][10910/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 1.9647 (2.0220) Prec@1 49.375 (47.812) Prec@5 83.125 (78.255) Epoch: [56][10920/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 2.1242 (2.0220) Prec@1 45.000 (47.812) Prec@5 75.625 (78.255) Epoch: [56][10930/11272] Time 0.718 (0.797) Data 0.001 (0.002) Loss 2.1019 (2.0220) Prec@1 49.375 (47.812) Prec@5 78.125 (78.254) Epoch: [56][10940/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0150 (2.0220) Prec@1 49.375 (47.811) Prec@5 79.375 (78.255) Epoch: [56][10950/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 2.0395 (2.0220) Prec@1 51.250 (47.812) Prec@5 76.250 (78.253) Epoch: [56][10960/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.8899 (2.0221) Prec@1 50.625 (47.812) Prec@5 81.875 (78.253) Epoch: [56][10970/11272] Time 0.768 (0.797) Data 0.003 (0.002) Loss 2.0432 (2.0221) Prec@1 43.125 (47.812) Prec@5 78.125 (78.252) Epoch: [56][10980/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 1.9992 (2.0221) Prec@1 48.750 (47.812) Prec@5 75.625 (78.251) Epoch: [56][10990/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 2.0666 (2.0221) Prec@1 44.375 (47.810) Prec@5 78.750 (78.252) Epoch: [56][11000/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 2.4001 (2.0221) Prec@1 38.125 (47.809) Prec@5 73.125 (78.252) Epoch: [56][11010/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 1.9561 (2.0221) Prec@1 48.750 (47.810) Prec@5 78.750 (78.253) Epoch: [56][11020/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.9672 (2.0221) Prec@1 48.750 (47.809) Prec@5 76.250 (78.252) Epoch: [56][11030/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 2.5081 (2.0222) Prec@1 41.250 (47.807) Prec@5 68.750 (78.251) Epoch: [56][11040/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 2.0072 (2.0222) Prec@1 47.500 (47.805) Prec@5 76.250 (78.251) Epoch: [56][11050/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9478 (2.0222) Prec@1 50.000 (47.807) Prec@5 73.125 (78.250) Epoch: [56][11060/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1031 (2.0222) Prec@1 47.500 (47.808) Prec@5 78.750 (78.251) Epoch: [56][11070/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.9538 (2.0222) Prec@1 44.375 (47.806) Prec@5 77.500 (78.249) Epoch: [56][11080/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.2817 (2.0223) Prec@1 45.000 (47.805) Prec@5 75.000 (78.249) Epoch: [56][11090/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.8601 (2.0222) Prec@1 53.750 (47.806) Prec@5 81.250 (78.250) Epoch: [56][11100/11272] Time 0.860 (0.797) Data 0.002 (0.002) Loss 2.0251 (2.0223) Prec@1 48.750 (47.807) Prec@5 78.750 (78.250) Epoch: [56][11110/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 2.0769 (2.0223) Prec@1 44.375 (47.807) Prec@5 74.375 (78.249) Epoch: [56][11120/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 1.7195 (2.0222) Prec@1 56.875 (47.809) Prec@5 85.625 (78.250) Epoch: [56][11130/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 2.1918 (2.0222) Prec@1 43.125 (47.808) Prec@5 78.125 (78.252) Epoch: [56][11140/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 1.7242 (2.0222) Prec@1 57.500 (47.810) Prec@5 82.500 (78.251) Epoch: [56][11150/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 2.0624 (2.0222) Prec@1 45.000 (47.810) Prec@5 80.000 (78.252) Epoch: [56][11160/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.2217 (2.0223) Prec@1 47.500 (47.809) Prec@5 74.375 (78.250) Epoch: [56][11170/11272] Time 0.819 (0.797) Data 0.002 (0.002) Loss 1.9824 (2.0223) Prec@1 43.750 (47.808) Prec@5 77.500 (78.250) Epoch: [56][11180/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 1.9781 (2.0223) Prec@1 51.875 (47.807) Prec@5 78.750 (78.249) Epoch: [56][11190/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1179 (2.0223) Prec@1 48.125 (47.807) Prec@5 78.750 (78.247) Epoch: [56][11200/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.1548 (2.0223) Prec@1 41.250 (47.807) Prec@5 75.625 (78.248) Epoch: [56][11210/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.8478 (2.0223) Prec@1 48.750 (47.807) Prec@5 80.625 (78.248) Epoch: [56][11220/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 1.9500 (2.0223) Prec@1 49.375 (47.804) Prec@5 77.500 (78.247) Epoch: [56][11230/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.3410 (2.0224) Prec@1 41.875 (47.803) Prec@5 75.000 (78.247) Epoch: [56][11240/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 1.9546 (2.0224) Prec@1 46.875 (47.803) Prec@5 80.000 (78.246) Epoch: [56][11250/11272] Time 0.914 (0.797) Data 0.002 (0.002) Loss 2.3070 (2.0224) Prec@1 44.375 (47.802) Prec@5 73.125 (78.245) Epoch: [56][11260/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 2.0318 (2.0224) Prec@1 46.875 (47.803) Prec@5 78.125 (78.245) Epoch: [56][11270/11272] Time 0.721 (0.797) Data 0.000 (0.002) Loss 1.8765 (2.0224) Prec@1 53.125 (47.804) Prec@5 80.000 (78.246) Test: [0/229] Time 2.364 (2.364) Loss 1.0744 (1.0744) Prec@1 66.250 (66.250) Prec@5 94.375 (94.375) Test: [10/229] Time 0.416 (0.576) Loss 0.9091 (1.6503) Prec@1 73.125 (55.000) Prec@5 96.875 (86.193) Test: [20/229] Time 0.353 (0.485) Loss 2.3937 (1.7694) Prec@1 35.625 (52.143) Prec@5 71.875 (84.494) Test: [30/229] Time 0.334 (0.452) Loss 2.1711 (1.7239) Prec@1 38.125 (53.649) Prec@5 80.625 (85.161) Test: [40/229] Time 0.440 (0.440) Loss 0.4505 (1.7144) Prec@1 92.500 (53.902) Prec@5 95.000 (85.152) Test: [50/229] Time 0.344 (0.429) Loss 2.0772 (1.7463) Prec@1 40.000 (53.456) Prec@5 83.125 (84.277) Test: [60/229] Time 0.447 (0.422) Loss 2.1578 (1.7499) Prec@1 37.500 (53.135) Prec@5 78.750 (84.088) Test: [70/229] Time 0.385 (0.416) Loss 1.4739 (1.7655) Prec@1 66.250 (52.799) Prec@5 82.500 (83.759) Test: [80/229] Time 0.430 (0.414) Loss 2.3936 (1.8008) Prec@1 28.750 (51.628) Prec@5 78.125 (83.503) Test: [90/229] Time 0.378 (0.411) Loss 1.0549 (1.8003) Prec@1 76.875 (51.641) Prec@5 88.125 (83.578) Test: [100/229] Time 0.331 (0.409) Loss 2.1113 (1.7847) Prec@1 50.625 (52.333) Prec@5 82.500 (83.738) Test: [110/229] Time 0.494 (0.408) Loss 1.3077 (1.7643) Prec@1 62.500 (52.635) Prec@5 88.125 (84.020) Test: [120/229] Time 0.351 (0.406) Loss 2.7925 (1.7871) Prec@1 28.750 (52.020) Prec@5 72.500 (83.729) Test: [130/229] Time 0.460 (0.403) Loss 1.5733 (1.7812) Prec@1 55.000 (52.180) Prec@5 88.125 (83.740) Test: [140/229] Time 0.334 (0.401) Loss 1.9448 (1.7919) Prec@1 48.750 (51.906) Prec@5 82.500 (83.626) Test: [150/229] Time 0.380 (0.400) Loss 1.1273 (1.8061) Prec@1 75.000 (51.552) Prec@5 87.500 (83.435) Test: [160/229] Time 0.349 (0.398) Loss 1.6936 (1.8053) Prec@1 60.625 (51.549) Prec@5 85.000 (83.447) Test: [170/229] Time 0.417 (0.398) Loss 1.6475 (1.8147) Prec@1 49.375 (51.279) Prec@5 85.000 (83.249) Test: [180/229] Time 0.424 (0.398) Loss 2.8082 (1.8245) Prec@1 27.500 (51.174) Prec@5 63.750 (82.945) Test: [190/229] Time 0.365 (0.396) Loss 1.2344 (1.8138) Prec@1 65.000 (51.469) Prec@5 94.375 (83.056) Test: [200/229] Time 0.413 (0.396) Loss 1.7862 (1.8085) Prec@1 48.125 (51.489) Prec@5 82.500 (83.225) Test: [210/229] Time 0.343 (0.395) Loss 1.3675 (1.7938) Prec@1 60.000 (51.952) Prec@5 92.500 (83.466) Test: [220/229] Time 0.454 (0.394) Loss 1.6208 (1.7848) Prec@1 53.125 (52.282) Prec@5 87.500 (83.507) * Prec@1 52.561 Prec@5 83.568 Epoch: [57][0/11272] Time 3.748 (3.748) Data 2.880 (2.880) Loss 2.0032 (2.0032) Prec@1 44.375 (44.375) Prec@5 79.375 (79.375) Epoch: [57][10/11272] Time 0.728 (1.070) Data 0.001 (0.263) Loss 1.8559 (1.9925) Prec@1 53.750 (48.636) Prec@5 81.250 (79.318) Epoch: [57][20/11272] Time 0.841 (0.944) Data 0.001 (0.139) Loss 1.6498 (1.9864) Prec@1 55.625 (48.690) Prec@5 85.000 (79.345) Epoch: [57][30/11272] Time 0.864 (0.892) Data 0.003 (0.095) Loss 2.2279 (1.9934) Prec@1 45.625 (47.883) Prec@5 74.375 (79.234) Epoch: [57][40/11272] Time 0.726 (0.866) Data 0.002 (0.072) Loss 1.9315 (1.9884) Prec@1 48.750 (47.957) Prec@5 79.375 (79.131) Epoch: [57][50/11272] Time 0.723 (0.850) Data 0.002 (0.058) Loss 2.2165 (2.0093) Prec@1 40.000 (47.659) Prec@5 71.875 (78.750) Epoch: [57][60/11272] Time 0.834 (0.840) Data 0.001 (0.049) Loss 2.1660 (2.0051) Prec@1 46.250 (47.879) Prec@5 75.000 (78.801) Epoch: [57][70/11272] Time 0.851 (0.832) Data 0.003 (0.042) Loss 1.9089 (2.0132) Prec@1 51.875 (47.843) Prec@5 78.750 (78.671) Epoch: [57][80/11272] Time 0.737 (0.826) Data 0.002 (0.037) Loss 2.1073 (2.0053) Prec@1 46.250 (47.940) Prec@5 71.250 (78.542) Epoch: [57][90/11272] Time 0.723 (0.826) Data 0.002 (0.033) Loss 1.9391 (2.0062) Prec@1 50.625 (48.146) Prec@5 78.750 (78.626) Epoch: [57][100/11272] Time 0.845 (0.822) Data 0.002 (0.030) Loss 2.0398 (2.0100) Prec@1 46.875 (48.069) Prec@5 75.625 (78.651) Epoch: [57][110/11272] Time 0.731 (0.819) Data 0.003 (0.028) Loss 2.0007 (2.0115) Prec@1 49.375 (47.984) Prec@5 76.250 (78.542) Epoch: [57][120/11272] Time 0.703 (0.817) Data 0.001 (0.025) Loss 1.9308 (2.0174) Prec@1 50.625 (47.913) Prec@5 80.625 (78.368) Epoch: [57][130/11272] Time 0.827 (0.816) Data 0.002 (0.024) Loss 1.9540 (2.0164) Prec@1 53.750 (47.987) Prec@5 76.250 (78.287) Epoch: [57][140/11272] Time 0.827 (0.815) Data 0.002 (0.022) Loss 1.9297 (2.0126) Prec@1 49.375 (47.992) Prec@5 80.000 (78.351) Epoch: [57][150/11272] Time 0.726 (0.814) Data 0.002 (0.021) Loss 2.2013 (2.0136) Prec@1 37.500 (47.947) Prec@5 75.000 (78.419) Epoch: [57][160/11272] Time 0.727 (0.811) Data 0.002 (0.019) Loss 1.7714 (2.0118) Prec@1 54.375 (47.997) Prec@5 81.875 (78.455) Epoch: [57][170/11272] Time 0.839 (0.811) Data 0.002 (0.018) Loss 1.9312 (2.0096) Prec@1 51.250 (48.026) Prec@5 79.375 (78.483) Epoch: [57][180/11272] Time 0.843 (0.810) Data 0.002 (0.018) Loss 2.0886 (2.0089) Prec@1 46.875 (48.084) Prec@5 77.500 (78.539) Epoch: [57][190/11272] Time 0.747 (0.807) Data 0.002 (0.017) Loss 2.0245 (2.0066) Prec@1 47.500 (48.132) Prec@5 81.875 (78.537) Epoch: [57][200/11272] Time 0.718 (0.807) Data 0.002 (0.016) Loss 1.9834 (2.0019) Prec@1 49.375 (48.240) Prec@5 81.250 (78.638) Epoch: [57][210/11272] Time 0.824 (0.805) Data 0.001 (0.015) Loss 2.1196 (2.0036) Prec@1 46.250 (48.166) Prec@5 75.625 (78.617) Epoch: [57][220/11272] Time 0.821 (0.804) Data 0.002 (0.015) Loss 1.9662 (2.0051) Prec@1 50.000 (48.153) Prec@5 83.125 (78.609) Epoch: [57][230/11272] Time 0.773 (0.804) Data 0.002 (0.014) Loss 2.1071 (2.0020) Prec@1 49.375 (48.225) Prec@5 75.625 (78.661) Epoch: [57][240/11272] Time 0.821 (0.804) Data 0.001 (0.014) Loss 2.0345 (1.9983) Prec@1 51.250 (48.317) Prec@5 76.875 (78.734) Epoch: [57][250/11272] Time 0.841 (0.803) Data 0.002 (0.013) Loss 2.2397 (1.9993) Prec@1 46.875 (48.297) Prec@5 68.750 (78.623) Epoch: [57][260/11272] Time 0.749 (0.803) Data 0.001 (0.013) Loss 1.7078 (1.9988) Prec@1 55.000 (48.312) Prec@5 85.625 (78.623) Epoch: [57][270/11272] Time 0.740 (0.802) Data 0.002 (0.012) Loss 1.9819 (2.0000) Prec@1 51.250 (48.303) Prec@5 75.000 (78.577) Epoch: [57][280/11272] Time 0.850 (0.802) Data 0.002 (0.012) Loss 2.1950 (2.0021) Prec@1 45.625 (48.205) Prec@5 78.125 (78.556) Epoch: [57][290/11272] Time 0.838 (0.802) Data 0.001 (0.012) Loss 1.7751 (2.0012) Prec@1 53.750 (48.209) Prec@5 82.500 (78.559) Epoch: [57][300/11272] Time 0.736 (0.801) Data 0.002 (0.011) Loss 1.8389 (1.9982) Prec@1 49.375 (48.289) Prec@5 80.625 (78.596) Epoch: [57][310/11272] Time 0.751 (0.801) Data 0.002 (0.011) Loss 1.8895 (1.9974) Prec@1 52.500 (48.280) Prec@5 80.625 (78.668) Epoch: [57][320/11272] Time 0.825 (0.801) Data 0.001 (0.011) Loss 1.8909 (1.9971) Prec@1 53.750 (48.310) Prec@5 81.250 (78.660) Epoch: [57][330/11272] Time 0.831 (0.800) Data 0.001 (0.010) Loss 2.1449 (1.9976) Prec@1 46.875 (48.293) Prec@5 75.000 (78.661) Epoch: [57][340/11272] Time 0.728 (0.800) Data 0.002 (0.010) Loss 1.9604 (1.9974) Prec@1 46.875 (48.295) Prec@5 76.250 (78.653) Epoch: [57][350/11272] Time 0.761 (0.800) Data 0.002 (0.010) Loss 1.9313 (1.9952) Prec@1 46.875 (48.324) Prec@5 81.875 (78.711) Epoch: [57][360/11272] Time 0.838 (0.800) Data 0.002 (0.010) Loss 1.9615 (1.9957) Prec@1 45.625 (48.293) Prec@5 79.375 (78.717) Epoch: [57][370/11272] Time 0.739 (0.800) Data 0.003 (0.009) Loss 2.0316 (1.9960) Prec@1 50.625 (48.250) Prec@5 78.750 (78.728) Epoch: [57][380/11272] Time 0.758 (0.800) Data 0.002 (0.009) Loss 1.9783 (1.9950) Prec@1 51.875 (48.268) Prec@5 80.625 (78.770) Epoch: [57][390/11272] Time 0.817 (0.800) Data 0.002 (0.009) Loss 1.8629 (1.9957) Prec@1 49.375 (48.264) Prec@5 83.125 (78.752) Epoch: [57][400/11272] Time 0.830 (0.800) Data 0.001 (0.009) Loss 2.0554 (1.9970) Prec@1 47.500 (48.215) Prec@5 78.750 (78.728) Epoch: [57][410/11272] Time 0.746 (0.800) Data 0.002 (0.009) Loss 2.0483 (1.9981) Prec@1 48.750 (48.181) Prec@5 79.375 (78.691) Epoch: [57][420/11272] Time 0.740 (0.800) Data 0.002 (0.008) Loss 2.0591 (1.9988) Prec@1 48.125 (48.199) Prec@5 76.875 (78.662) Epoch: [57][430/11272] Time 0.862 (0.799) Data 0.002 (0.008) Loss 1.6976 (1.9974) Prec@1 53.125 (48.253) Prec@5 88.125 (78.698) Epoch: [57][440/11272] Time 0.836 (0.799) Data 0.002 (0.008) Loss 1.8609 (1.9984) Prec@1 51.250 (48.262) Prec@5 78.750 (78.683) Epoch: [57][450/11272] Time 0.761 (0.799) Data 0.002 (0.008) Loss 2.0979 (1.9984) Prec@1 47.500 (48.295) Prec@5 78.125 (78.681) Epoch: [57][460/11272] Time 0.725 (0.799) Data 0.002 (0.008) Loss 2.0116 (1.9967) Prec@1 47.500 (48.301) Prec@5 78.750 (78.731) Epoch: [57][470/11272] Time 0.843 (0.799) Data 0.002 (0.008) Loss 2.0170 (1.9973) Prec@1 52.500 (48.309) Prec@5 78.750 (78.719) Epoch: [57][480/11272] Time 0.849 (0.799) Data 0.002 (0.008) Loss 1.9613 (1.9983) Prec@1 45.625 (48.282) Prec@5 79.375 (78.690) Epoch: [57][490/11272] Time 0.752 (0.799) Data 0.002 (0.007) Loss 2.2209 (1.9986) Prec@1 40.625 (48.284) Prec@5 76.250 (78.675) Epoch: [57][500/11272] Time 0.863 (0.799) Data 0.002 (0.007) Loss 2.4275 (1.9993) Prec@1 42.500 (48.272) Prec@5 71.875 (78.676) Epoch: [57][510/11272] Time 0.838 (0.799) Data 0.001 (0.007) Loss 2.0576 (2.0009) Prec@1 49.375 (48.229) Prec@5 78.750 (78.678) Epoch: [57][520/11272] Time 0.742 (0.799) Data 0.001 (0.007) Loss 2.1680 (2.0002) Prec@1 39.375 (48.215) Prec@5 75.000 (78.674) Epoch: [57][530/11272] Time 0.732 (0.798) Data 0.001 (0.007) Loss 1.8729 (2.0014) Prec@1 50.625 (48.189) Prec@5 82.500 (78.664) Epoch: [57][540/11272] Time 0.805 (0.798) Data 0.001 (0.007) Loss 1.9087 (2.0014) Prec@1 53.125 (48.200) Prec@5 80.625 (78.666) Epoch: [57][550/11272] Time 0.855 (0.798) Data 0.001 (0.007) Loss 2.0003 (2.0007) Prec@1 49.375 (48.199) Prec@5 80.000 (78.683) Epoch: [57][560/11272] Time 0.714 (0.798) Data 0.001 (0.007) Loss 2.1796 (2.0004) Prec@1 46.875 (48.226) Prec@5 75.000 (78.692) Epoch: [57][570/11272] Time 0.735 (0.798) Data 0.002 (0.007) Loss 2.0640 (1.9997) Prec@1 43.125 (48.245) Prec@5 80.000 (78.691) Epoch: [57][580/11272] Time 0.880 (0.798) Data 0.002 (0.007) Loss 2.1954 (1.9996) Prec@1 48.125 (48.269) Prec@5 72.500 (78.688) Epoch: [57][590/11272] Time 0.872 (0.798) Data 0.002 (0.006) Loss 1.9972 (1.9995) Prec@1 48.125 (48.283) Prec@5 80.000 (78.687) Epoch: [57][600/11272] Time 0.720 (0.797) Data 0.002 (0.006) Loss 2.1174 (1.9982) Prec@1 46.875 (48.300) Prec@5 76.875 (78.718) Epoch: [57][610/11272] Time 0.724 (0.797) Data 0.002 (0.006) Loss 1.8664 (1.9974) Prec@1 48.125 (48.327) Prec@5 78.750 (78.727) Epoch: [57][620/11272] Time 0.852 (0.797) Data 0.002 (0.006) Loss 2.0429 (1.9976) Prec@1 47.500 (48.298) Prec@5 73.125 (78.702) Epoch: [57][630/11272] Time 0.855 (0.797) Data 0.001 (0.006) Loss 1.7952 (1.9976) Prec@1 50.625 (48.304) Prec@5 85.000 (78.698) Epoch: [57][640/11272] Time 0.734 (0.797) Data 0.002 (0.006) Loss 1.9486 (1.9981) Prec@1 50.000 (48.324) Prec@5 78.125 (78.699) Epoch: [57][650/11272] Time 0.834 (0.797) Data 0.002 (0.006) Loss 1.9866 (1.9985) Prec@1 46.875 (48.319) Prec@5 83.125 (78.690) Epoch: [57][660/11272] Time 0.834 (0.797) Data 0.002 (0.006) Loss 2.0688 (1.9986) Prec@1 45.625 (48.313) Prec@5 76.250 (78.704) Epoch: [57][670/11272] Time 0.747 (0.797) Data 0.002 (0.006) Loss 1.8769 (1.9973) Prec@1 48.125 (48.332) Prec@5 81.875 (78.739) Epoch: [57][680/11272] Time 0.746 (0.797) Data 0.001 (0.006) Loss 1.9752 (1.9965) Prec@1 46.875 (48.351) Prec@5 81.875 (78.751) Epoch: [57][690/11272] Time 0.832 (0.797) Data 0.002 (0.006) Loss 1.8223 (1.9956) Prec@1 47.500 (48.345) Prec@5 83.125 (78.757) Epoch: [57][700/11272] Time 0.830 (0.797) Data 0.002 (0.006) Loss 1.6998 (1.9964) Prec@1 53.125 (48.341) Prec@5 78.750 (78.735) Epoch: [57][710/11272] Time 0.738 (0.797) Data 0.002 (0.006) Loss 1.9628 (1.9968) Prec@1 53.125 (48.338) Prec@5 81.875 (78.738) Epoch: [57][720/11272] Time 0.728 (0.797) Data 0.002 (0.006) Loss 2.4542 (1.9978) Prec@1 40.000 (48.320) Prec@5 71.875 (78.729) Epoch: [57][730/11272] Time 0.816 (0.797) Data 0.001 (0.006) Loss 1.8730 (1.9976) Prec@1 50.000 (48.300) Prec@5 77.500 (78.741) Epoch: [57][740/11272] Time 0.833 (0.796) Data 0.002 (0.006) Loss 2.0134 (1.9974) Prec@1 45.625 (48.297) Prec@5 79.375 (78.742) Epoch: [57][750/11272] Time 0.728 (0.796) Data 0.002 (0.005) Loss 2.2205 (1.9972) Prec@1 45.625 (48.306) Prec@5 73.750 (78.734) Epoch: [57][760/11272] Time 0.724 (0.796) Data 0.002 (0.005) Loss 1.9422 (1.9967) Prec@1 46.875 (48.323) Prec@5 76.875 (78.745) Epoch: [57][770/11272] Time 0.847 (0.796) Data 0.001 (0.005) Loss 1.9432 (1.9970) Prec@1 49.375 (48.326) Prec@5 76.250 (78.747) Epoch: [57][780/11272] Time 0.761 (0.796) Data 0.001 (0.005) Loss 1.9029 (1.9969) Prec@1 52.500 (48.341) Prec@5 81.875 (78.772) Epoch: [57][790/11272] Time 0.756 (0.796) Data 0.002 (0.005) Loss 1.7876 (1.9967) Prec@1 50.625 (48.338) Prec@5 85.000 (78.779) Epoch: [57][800/11272] Time 0.890 (0.796) Data 0.002 (0.005) Loss 1.9154 (1.9971) Prec@1 51.250 (48.336) Prec@5 79.375 (78.766) Epoch: [57][810/11272] Time 0.883 (0.796) Data 0.002 (0.005) Loss 2.0278 (1.9976) Prec@1 48.125 (48.350) Prec@5 76.250 (78.734) Epoch: [57][820/11272] Time 0.739 (0.796) Data 0.002 (0.005) Loss 1.9999 (1.9978) Prec@1 46.250 (48.353) Prec@5 78.750 (78.732) Epoch: [57][830/11272] Time 0.730 (0.796) Data 0.002 (0.005) Loss 1.9208 (1.9984) Prec@1 50.000 (48.345) Prec@5 78.750 (78.716) Epoch: [57][840/11272] Time 0.853 (0.796) Data 0.002 (0.005) Loss 2.0893 (1.9982) Prec@1 51.250 (48.347) Prec@5 76.250 (78.727) Epoch: [57][850/11272] Time 0.856 (0.796) Data 0.001 (0.005) Loss 2.1116 (1.9986) Prec@1 43.125 (48.313) Prec@5 77.500 (78.728) Epoch: [57][860/11272] Time 0.727 (0.796) Data 0.002 (0.005) Loss 1.9724 (1.9988) Prec@1 46.250 (48.301) Prec@5 78.125 (78.722) Epoch: [57][870/11272] Time 0.726 (0.796) Data 0.002 (0.005) Loss 2.0435 (1.9989) Prec@1 46.875 (48.285) Prec@5 78.125 (78.730) Epoch: [57][880/11272] Time 0.835 (0.796) Data 0.002 (0.005) Loss 2.2022 (1.9988) Prec@1 42.500 (48.294) Prec@5 75.625 (78.728) Epoch: [57][890/11272] Time 0.848 (0.796) Data 0.001 (0.005) Loss 1.8488 (1.9983) Prec@1 50.000 (48.310) Prec@5 86.875 (78.751) Epoch: [57][900/11272] Time 0.727 (0.796) Data 0.002 (0.005) Loss 1.9232 (1.9986) Prec@1 51.250 (48.303) Prec@5 80.625 (78.738) Epoch: [57][910/11272] Time 0.839 (0.796) Data 0.002 (0.005) Loss 1.5719 (1.9978) Prec@1 58.750 (48.318) Prec@5 88.750 (78.753) Epoch: [57][920/11272] Time 0.842 (0.796) Data 0.002 (0.005) Loss 1.7480 (1.9966) Prec@1 56.875 (48.354) Prec@5 83.125 (78.770) Epoch: [57][930/11272] Time 0.729 (0.795) Data 0.001 (0.005) Loss 2.0259 (1.9970) Prec@1 43.750 (48.345) Prec@5 79.375 (78.763) Epoch: [57][940/11272] Time 0.775 (0.795) Data 0.002 (0.005) Loss 1.6565 (1.9962) Prec@1 58.750 (48.369) Prec@5 83.750 (78.771) Epoch: [57][950/11272] Time 0.840 (0.795) Data 0.002 (0.005) Loss 1.7666 (1.9959) Prec@1 50.625 (48.375) Prec@5 86.250 (78.784) Epoch: [57][960/11272] Time 0.857 (0.795) Data 0.002 (0.005) Loss 2.0201 (1.9961) Prec@1 46.875 (48.365) Prec@5 76.875 (78.785) Epoch: [57][970/11272] Time 0.734 (0.795) Data 0.001 (0.005) Loss 1.9748 (1.9959) Prec@1 46.250 (48.370) Prec@5 80.000 (78.796) Epoch: [57][980/11272] Time 0.722 (0.795) Data 0.002 (0.005) Loss 2.1561 (1.9956) Prec@1 41.250 (48.352) Prec@5 78.750 (78.802) Epoch: [57][990/11272] Time 0.885 (0.795) Data 0.002 (0.005) Loss 1.9658 (1.9959) Prec@1 51.250 (48.334) Prec@5 80.625 (78.802) Epoch: [57][1000/11272] Time 0.872 (0.795) Data 0.002 (0.004) Loss 2.1565 (1.9961) Prec@1 46.250 (48.326) Prec@5 75.625 (78.790) Epoch: [57][1010/11272] Time 0.738 (0.795) Data 0.001 (0.004) Loss 2.2149 (1.9961) Prec@1 42.500 (48.317) Prec@5 73.125 (78.788) Epoch: [57][1020/11272] Time 0.704 (0.795) Data 0.001 (0.004) Loss 2.0486 (1.9968) Prec@1 46.250 (48.300) Prec@5 78.125 (78.779) Epoch: [57][1030/11272] Time 0.846 (0.795) Data 0.002 (0.004) Loss 1.8693 (1.9965) Prec@1 55.625 (48.310) Prec@5 83.125 (78.792) Epoch: [57][1040/11272] Time 0.737 (0.795) Data 0.003 (0.004) Loss 1.9129 (1.9967) Prec@1 50.625 (48.303) Prec@5 79.375 (78.787) Epoch: [57][1050/11272] Time 0.731 (0.795) Data 0.001 (0.004) Loss 1.9608 (1.9965) Prec@1 45.000 (48.308) Prec@5 81.875 (78.790) Epoch: [57][1060/11272] Time 0.833 (0.795) Data 0.001 (0.004) Loss 2.0235 (1.9965) Prec@1 41.875 (48.302) Prec@5 81.875 (78.792) Epoch: [57][1070/11272] Time 0.872 (0.795) Data 0.002 (0.004) Loss 2.0132 (1.9960) Prec@1 46.875 (48.312) Prec@5 80.625 (78.808) Epoch: [57][1080/11272] Time 0.734 (0.795) Data 0.002 (0.004) Loss 1.8959 (1.9959) Prec@1 53.125 (48.315) Prec@5 78.750 (78.801) Epoch: [57][1090/11272] Time 0.736 (0.795) Data 0.002 (0.004) Loss 2.1543 (1.9972) Prec@1 41.250 (48.280) Prec@5 76.875 (78.775) Epoch: [57][1100/11272] Time 0.840 (0.795) Data 0.001 (0.004) Loss 1.9130 (1.9972) Prec@1 50.625 (48.281) Prec@5 80.625 (78.768) Epoch: [57][1110/11272] Time 0.805 (0.795) Data 0.001 (0.004) Loss 1.9724 (1.9969) Prec@1 50.625 (48.290) Prec@5 76.875 (78.766) Epoch: [57][1120/11272] Time 0.712 (0.795) Data 0.001 (0.004) Loss 2.1238 (1.9971) Prec@1 47.500 (48.293) Prec@5 81.250 (78.769) Epoch: [57][1130/11272] Time 0.754 (0.795) Data 0.002 (0.004) Loss 2.0039 (1.9976) Prec@1 50.000 (48.279) Prec@5 80.000 (78.759) Epoch: [57][1140/11272] Time 0.838 (0.795) Data 0.002 (0.004) Loss 2.2061 (1.9970) Prec@1 47.500 (48.287) Prec@5 73.750 (78.770) Epoch: [57][1150/11272] Time 0.858 (0.795) Data 0.002 (0.004) Loss 2.2327 (1.9969) Prec@1 42.500 (48.288) Prec@5 76.250 (78.774) Epoch: [57][1160/11272] Time 0.747 (0.794) Data 0.002 (0.004) Loss 2.1347 (1.9971) Prec@1 45.000 (48.284) Prec@5 73.125 (78.759) Epoch: [57][1170/11272] Time 0.872 (0.795) Data 0.002 (0.004) Loss 2.1938 (1.9976) Prec@1 38.750 (48.263) Prec@5 73.750 (78.746) Epoch: [57][1180/11272] Time 0.899 (0.795) Data 0.002 (0.004) Loss 1.9104 (1.9971) Prec@1 50.000 (48.272) Prec@5 79.375 (78.756) Epoch: [57][1190/11272] Time 0.755 (0.795) Data 0.001 (0.004) Loss 1.8174 (1.9974) Prec@1 53.125 (48.267) Prec@5 82.500 (78.749) Epoch: [57][1200/11272] Time 0.716 (0.795) Data 0.002 (0.004) Loss 1.9249 (1.9971) Prec@1 53.750 (48.284) Prec@5 80.000 (78.752) Epoch: [57][1210/11272] Time 0.865 (0.795) Data 0.002 (0.004) Loss 2.1056 (1.9979) Prec@1 46.875 (48.259) Prec@5 79.375 (78.743) Epoch: [57][1220/11272] Time 0.853 (0.795) Data 0.002 (0.004) Loss 2.1138 (1.9977) Prec@1 46.250 (48.260) Prec@5 77.500 (78.749) Epoch: [57][1230/11272] Time 0.698 (0.795) Data 0.001 (0.004) Loss 1.8512 (1.9977) Prec@1 53.750 (48.273) Prec@5 81.875 (78.748) Epoch: [57][1240/11272] Time 0.734 (0.795) Data 0.001 (0.004) Loss 1.9238 (1.9980) Prec@1 48.750 (48.260) Prec@5 80.000 (78.733) Epoch: [57][1250/11272] Time 0.879 (0.795) Data 0.001 (0.004) Loss 1.9434 (1.9985) Prec@1 45.625 (48.244) Prec@5 80.000 (78.734) Epoch: [57][1260/11272] Time 0.814 (0.794) Data 0.001 (0.004) Loss 1.9769 (1.9984) Prec@1 48.750 (48.238) Prec@5 76.875 (78.731) Epoch: [57][1270/11272] Time 0.723 (0.795) Data 0.002 (0.004) Loss 1.8638 (1.9981) Prec@1 50.625 (48.242) Prec@5 79.375 (78.733) Epoch: [57][1280/11272] Time 0.735 (0.795) Data 0.001 (0.004) Loss 1.9280 (1.9986) Prec@1 47.500 (48.226) Prec@5 80.625 (78.725) Epoch: [57][1290/11272] Time 0.834 (0.795) Data 0.002 (0.004) Loss 1.9550 (1.9983) Prec@1 54.375 (48.241) Prec@5 78.750 (78.721) Epoch: [57][1300/11272] Time 0.734 (0.795) Data 0.003 (0.004) Loss 2.0576 (1.9981) Prec@1 43.125 (48.235) Prec@5 78.125 (78.729) Epoch: [57][1310/11272] Time 0.759 (0.795) Data 0.002 (0.004) Loss 2.0572 (1.9984) Prec@1 45.000 (48.230) Prec@5 80.000 (78.723) Epoch: [57][1320/11272] Time 0.844 (0.795) Data 0.002 (0.004) Loss 1.9337 (1.9979) Prec@1 48.125 (48.239) Prec@5 83.125 (78.735) Epoch: [57][1330/11272] Time 0.854 (0.795) Data 0.002 (0.004) Loss 1.9001 (1.9981) Prec@1 50.000 (48.228) Prec@5 80.625 (78.737) Epoch: [57][1340/11272] Time 0.772 (0.795) Data 0.002 (0.004) Loss 1.9809 (1.9985) Prec@1 49.375 (48.207) Prec@5 76.250 (78.726) Epoch: [57][1350/11272] Time 0.728 (0.795) Data 0.002 (0.004) Loss 2.0003 (1.9989) Prec@1 46.250 (48.199) Prec@5 80.625 (78.728) Epoch: [57][1360/11272] Time 0.846 (0.795) Data 0.002 (0.004) Loss 2.0006 (1.9992) Prec@1 46.250 (48.181) Prec@5 77.500 (78.727) Epoch: [57][1370/11272] Time 0.919 (0.795) Data 0.001 (0.004) Loss 1.9742 (1.9990) Prec@1 45.000 (48.179) Prec@5 77.500 (78.735) Epoch: [57][1380/11272] Time 0.741 (0.795) Data 0.001 (0.004) Loss 1.8847 (1.9993) Prec@1 50.000 (48.168) Prec@5 80.625 (78.734) Epoch: [57][1390/11272] Time 0.728 (0.795) Data 0.002 (0.004) Loss 2.2402 (1.9994) Prec@1 43.750 (48.170) Prec@5 71.250 (78.732) Epoch: [57][1400/11272] Time 0.861 (0.795) Data 0.001 (0.004) Loss 1.9936 (1.9990) Prec@1 48.750 (48.177) Prec@5 78.125 (78.740) Epoch: [57][1410/11272] Time 0.850 (0.795) Data 0.002 (0.004) Loss 1.9849 (1.9989) Prec@1 50.625 (48.179) Prec@5 76.875 (78.747) Epoch: [57][1420/11272] Time 0.733 (0.795) Data 0.002 (0.004) Loss 1.9416 (1.9989) Prec@1 50.625 (48.174) Prec@5 83.125 (78.749) Epoch: [57][1430/11272] Time 0.810 (0.795) Data 0.002 (0.004) Loss 1.9277 (1.9993) Prec@1 47.500 (48.161) Prec@5 81.875 (78.738) Epoch: [57][1440/11272] Time 0.866 (0.795) Data 0.001 (0.004) Loss 2.0067 (1.9991) Prec@1 45.625 (48.167) Prec@5 76.875 (78.747) Epoch: [57][1450/11272] Time 0.749 (0.795) Data 0.001 (0.004) Loss 2.2985 (1.9993) Prec@1 46.250 (48.164) Prec@5 78.125 (78.739) Epoch: [57][1460/11272] Time 0.732 (0.795) Data 0.001 (0.004) Loss 2.0481 (1.9992) Prec@1 45.000 (48.161) Prec@5 76.875 (78.738) Epoch: [57][1470/11272] Time 0.832 (0.795) Data 0.002 (0.004) Loss 1.8532 (1.9991) Prec@1 49.375 (48.156) Prec@5 81.250 (78.741) Epoch: [57][1480/11272] Time 0.874 (0.795) Data 0.002 (0.004) Loss 2.0161 (1.9991) Prec@1 50.625 (48.166) Prec@5 78.750 (78.734) Epoch: [57][1490/11272] Time 0.739 (0.795) Data 0.002 (0.004) Loss 2.0365 (1.9992) Prec@1 51.875 (48.169) Prec@5 77.500 (78.730) Epoch: [57][1500/11272] Time 0.748 (0.795) Data 0.002 (0.004) Loss 2.2177 (1.9992) Prec@1 45.000 (48.175) Prec@5 74.375 (78.731) Epoch: [57][1510/11272] Time 0.841 (0.795) Data 0.002 (0.004) Loss 2.1989 (1.9996) Prec@1 46.875 (48.176) Prec@5 75.625 (78.724) Epoch: [57][1520/11272] Time 0.844 (0.795) Data 0.002 (0.004) Loss 1.9587 (1.9995) Prec@1 51.875 (48.179) Prec@5 79.375 (78.727) Epoch: [57][1530/11272] Time 0.748 (0.795) Data 0.002 (0.003) Loss 2.0005 (1.9991) Prec@1 46.250 (48.182) Prec@5 80.000 (78.740) Epoch: [57][1540/11272] Time 0.793 (0.795) Data 0.002 (0.003) Loss 1.8423 (1.9996) Prec@1 46.875 (48.174) Prec@5 81.250 (78.723) Epoch: [57][1550/11272] Time 0.834 (0.795) Data 0.002 (0.003) Loss 1.8664 (1.9995) Prec@1 51.875 (48.184) Prec@5 80.625 (78.727) Epoch: [57][1560/11272] Time 0.818 (0.795) Data 0.002 (0.003) Loss 1.8605 (1.9996) Prec@1 50.000 (48.187) Prec@5 79.375 (78.725) Epoch: [57][1570/11272] Time 0.771 (0.795) Data 0.001 (0.003) Loss 2.0309 (1.9998) Prec@1 50.000 (48.190) Prec@5 76.875 (78.719) Epoch: [57][1580/11272] Time 0.922 (0.795) Data 0.002 (0.003) Loss 2.0103 (2.0000) Prec@1 47.500 (48.191) Prec@5 81.250 (78.717) Epoch: [57][1590/11272] Time 0.822 (0.795) Data 0.002 (0.003) Loss 2.1739 (2.0002) Prec@1 44.375 (48.182) Prec@5 78.750 (78.715) Epoch: [57][1600/11272] Time 0.730 (0.795) Data 0.002 (0.003) Loss 1.8734 (2.0003) Prec@1 50.625 (48.174) Prec@5 81.875 (78.713) Epoch: [57][1610/11272] Time 0.771 (0.795) Data 0.002 (0.003) Loss 2.0879 (2.0004) Prec@1 47.500 (48.167) Prec@5 77.500 (78.707) Epoch: [57][1620/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 2.0086 (2.0010) Prec@1 48.125 (48.155) Prec@5 74.375 (78.696) Epoch: [57][1630/11272] Time 0.883 (0.795) Data 0.002 (0.003) Loss 2.0308 (2.0012) Prec@1 43.750 (48.147) Prec@5 77.500 (78.693) Epoch: [57][1640/11272] Time 0.730 (0.795) Data 0.002 (0.003) Loss 1.9865 (2.0015) Prec@1 46.250 (48.141) Prec@5 80.000 (78.684) Epoch: [57][1650/11272] Time 0.771 (0.795) Data 0.002 (0.003) Loss 2.2013 (2.0017) Prec@1 43.125 (48.141) Prec@5 74.375 (78.683) Epoch: [57][1660/11272] Time 0.871 (0.795) Data 0.001 (0.003) Loss 2.0546 (2.0017) Prec@1 43.125 (48.141) Prec@5 76.250 (78.687) Epoch: [57][1670/11272] Time 0.837 (0.795) Data 0.002 (0.003) Loss 2.1783 (2.0021) Prec@1 46.875 (48.135) Prec@5 74.375 (78.676) Epoch: [57][1680/11272] Time 0.724 (0.795) Data 0.002 (0.003) Loss 1.9533 (2.0022) Prec@1 47.500 (48.128) Prec@5 80.625 (78.669) Epoch: [57][1690/11272] Time 0.743 (0.795) Data 0.002 (0.003) Loss 2.0301 (2.0021) Prec@1 43.125 (48.128) Prec@5 79.375 (78.678) Epoch: [57][1700/11272] Time 0.864 (0.795) Data 0.001 (0.003) Loss 1.9132 (2.0021) Prec@1 51.875 (48.133) Prec@5 80.000 (78.681) Epoch: [57][1710/11272] Time 0.782 (0.795) Data 0.002 (0.003) Loss 1.9757 (2.0018) Prec@1 47.500 (48.137) Prec@5 78.750 (78.686) Epoch: [57][1720/11272] Time 0.733 (0.795) Data 0.002 (0.003) Loss 1.8412 (2.0018) Prec@1 51.250 (48.137) Prec@5 80.625 (78.682) Epoch: [57][1730/11272] Time 0.797 (0.795) Data 0.001 (0.003) Loss 2.0193 (2.0017) Prec@1 48.125 (48.133) Prec@5 79.375 (78.683) Epoch: [57][1740/11272] Time 0.866 (0.795) Data 0.001 (0.003) Loss 2.0660 (2.0020) Prec@1 50.625 (48.129) Prec@5 78.750 (78.674) Epoch: [57][1750/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 2.0690 (2.0025) Prec@1 48.125 (48.123) Prec@5 76.250 (78.667) Epoch: [57][1760/11272] Time 0.745 (0.795) Data 0.001 (0.003) Loss 1.8659 (2.0026) Prec@1 53.125 (48.123) Prec@5 81.875 (78.662) Epoch: [57][1770/11272] Time 0.832 (0.795) Data 0.001 (0.003) Loss 1.9034 (2.0025) Prec@1 51.250 (48.123) Prec@5 77.500 (78.664) Epoch: [57][1780/11272] Time 0.824 (0.795) Data 0.001 (0.003) Loss 2.0657 (2.0026) Prec@1 47.500 (48.126) Prec@5 78.750 (78.657) Epoch: [57][1790/11272] Time 0.770 (0.795) Data 0.002 (0.003) Loss 1.7949 (2.0027) Prec@1 53.750 (48.128) Prec@5 83.125 (78.652) Epoch: [57][1800/11272] Time 0.736 (0.795) Data 0.002 (0.003) Loss 1.8529 (2.0028) Prec@1 55.625 (48.134) Prec@5 81.875 (78.651) Epoch: [57][1810/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 2.0087 (2.0023) Prec@1 53.125 (48.151) Prec@5 78.125 (78.659) Epoch: [57][1820/11272] Time 0.814 (0.795) Data 0.001 (0.003) Loss 2.0231 (2.0026) Prec@1 46.250 (48.139) Prec@5 80.625 (78.653) Epoch: [57][1830/11272] Time 0.759 (0.795) Data 0.002 (0.003) Loss 2.1355 (2.0027) Prec@1 46.250 (48.140) Prec@5 76.875 (78.648) Epoch: [57][1840/11272] Time 0.869 (0.795) Data 0.001 (0.003) Loss 2.0836 (2.0025) Prec@1 45.000 (48.138) Prec@5 73.750 (78.643) Epoch: [57][1850/11272] Time 0.858 (0.795) Data 0.002 (0.003) Loss 1.7946 (2.0021) Prec@1 51.250 (48.147) Prec@5 85.625 (78.650) Epoch: [57][1860/11272] Time 0.740 (0.795) Data 0.002 (0.003) Loss 2.0142 (2.0021) Prec@1 45.625 (48.147) Prec@5 75.000 (78.649) Epoch: [57][1870/11272] Time 0.739 (0.795) Data 0.002 (0.003) Loss 2.1116 (2.0025) Prec@1 51.250 (48.144) Prec@5 75.625 (78.644) Epoch: [57][1880/11272] Time 0.834 (0.795) Data 0.001 (0.003) Loss 2.1193 (2.0023) Prec@1 46.875 (48.143) Prec@5 71.875 (78.651) Epoch: [57][1890/11272] Time 0.837 (0.795) Data 0.001 (0.003) Loss 2.0276 (2.0021) Prec@1 45.000 (48.143) Prec@5 80.000 (78.651) Epoch: [57][1900/11272] Time 0.725 (0.795) Data 0.001 (0.003) Loss 2.0257 (2.0021) Prec@1 49.375 (48.146) Prec@5 80.000 (78.663) Epoch: [57][1910/11272] Time 0.734 (0.795) Data 0.002 (0.003) Loss 1.8431 (2.0018) Prec@1 49.375 (48.153) Prec@5 85.000 (78.668) Epoch: [57][1920/11272] Time 0.848 (0.795) Data 0.002 (0.003) Loss 2.0709 (2.0019) Prec@1 48.750 (48.148) Prec@5 75.625 (78.665) Epoch: [57][1930/11272] Time 0.848 (0.795) Data 0.001 (0.003) Loss 1.9367 (2.0022) Prec@1 51.875 (48.150) Prec@5 80.000 (78.660) Epoch: [57][1940/11272] Time 0.762 (0.795) Data 0.001 (0.003) Loss 1.9809 (2.0026) Prec@1 46.875 (48.142) Prec@5 78.750 (78.650) Epoch: [57][1950/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 2.1220 (2.0027) Prec@1 46.875 (48.137) Prec@5 74.375 (78.640) Epoch: [57][1960/11272] Time 0.854 (0.795) Data 0.002 (0.003) Loss 1.6951 (2.0025) Prec@1 53.750 (48.142) Prec@5 83.750 (78.649) Epoch: [57][1970/11272] Time 0.740 (0.795) Data 0.003 (0.003) Loss 2.1412 (2.0027) Prec@1 48.750 (48.145) Prec@5 75.625 (78.634) Epoch: [57][1980/11272] Time 0.748 (0.795) Data 0.002 (0.003) Loss 2.1298 (2.0026) Prec@1 45.000 (48.147) Prec@5 73.750 (78.637) Epoch: [57][1990/11272] Time 0.841 (0.795) Data 0.001 (0.003) Loss 1.9021 (2.0025) Prec@1 52.500 (48.149) Prec@5 76.875 (78.637) Epoch: [57][2000/11272] Time 0.835 (0.795) Data 0.002 (0.003) Loss 1.8548 (2.0023) Prec@1 48.125 (48.153) Prec@5 82.500 (78.643) Epoch: [57][2010/11272] Time 0.733 (0.795) Data 0.002 (0.003) Loss 2.2332 (2.0025) Prec@1 47.500 (48.153) Prec@5 75.625 (78.638) Epoch: [57][2020/11272] Time 0.721 (0.795) Data 0.001 (0.003) Loss 2.1153 (2.0026) Prec@1 45.000 (48.148) Prec@5 78.125 (78.640) Epoch: [57][2030/11272] Time 0.842 (0.795) Data 0.002 (0.003) Loss 2.1626 (2.0028) Prec@1 45.000 (48.154) Prec@5 80.625 (78.640) Epoch: [57][2040/11272] Time 0.837 (0.795) Data 0.001 (0.003) Loss 2.0808 (2.0030) Prec@1 45.625 (48.150) Prec@5 76.250 (78.642) Epoch: [57][2050/11272] Time 0.745 (0.795) Data 0.002 (0.003) Loss 2.0660 (2.0033) Prec@1 45.000 (48.145) Prec@5 78.125 (78.637) Epoch: [57][2060/11272] Time 0.741 (0.794) Data 0.002 (0.003) Loss 1.9542 (2.0029) Prec@1 46.250 (48.152) Prec@5 81.250 (78.648) Epoch: [57][2070/11272] Time 0.850 (0.794) Data 0.002 (0.003) Loss 2.2206 (2.0030) Prec@1 42.500 (48.151) Prec@5 77.500 (78.647) Epoch: [57][2080/11272] Time 0.842 (0.794) Data 0.002 (0.003) Loss 1.9910 (2.0028) Prec@1 51.875 (48.154) Prec@5 79.375 (78.653) Epoch: [57][2090/11272] Time 0.727 (0.794) Data 0.002 (0.003) Loss 2.0187 (2.0028) Prec@1 43.125 (48.150) Prec@5 76.875 (78.651) Epoch: [57][2100/11272] Time 0.772 (0.794) Data 0.001 (0.003) Loss 2.1360 (2.0028) Prec@1 43.125 (48.149) Prec@5 81.250 (78.655) Epoch: [57][2110/11272] Time 0.873 (0.794) Data 0.002 (0.003) Loss 2.1082 (2.0028) Prec@1 43.125 (48.141) Prec@5 77.500 (78.657) Epoch: [57][2120/11272] Time 0.727 (0.794) Data 0.001 (0.003) Loss 1.8917 (2.0029) Prec@1 53.750 (48.147) Prec@5 81.250 (78.654) Epoch: [57][2130/11272] Time 0.730 (0.794) Data 0.002 (0.003) Loss 1.9334 (2.0030) Prec@1 50.000 (48.138) Prec@5 79.375 (78.652) Epoch: [57][2140/11272] Time 0.838 (0.794) Data 0.001 (0.003) Loss 1.8705 (2.0031) Prec@1 46.875 (48.135) Prec@5 80.000 (78.651) Epoch: [57][2150/11272] Time 0.854 (0.794) Data 0.001 (0.003) Loss 1.8713 (2.0029) Prec@1 52.500 (48.144) Prec@5 83.125 (78.653) Epoch: [57][2160/11272] Time 0.744 (0.794) Data 0.002 (0.003) Loss 2.0340 (2.0028) Prec@1 46.250 (48.141) Prec@5 78.750 (78.654) Epoch: [57][2170/11272] Time 0.748 (0.794) Data 0.002 (0.003) Loss 2.2347 (2.0032) Prec@1 45.625 (48.122) Prec@5 72.500 (78.650) Epoch: [57][2180/11272] Time 0.880 (0.794) Data 0.002 (0.003) Loss 1.7988 (2.0030) Prec@1 48.750 (48.123) Prec@5 83.750 (78.651) Epoch: [57][2190/11272] Time 0.843 (0.794) Data 0.002 (0.003) Loss 1.9415 (2.0031) Prec@1 53.125 (48.122) Prec@5 81.250 (78.650) Epoch: [57][2200/11272] Time 0.741 (0.795) Data 0.002 (0.003) Loss 2.0273 (2.0033) Prec@1 45.000 (48.114) Prec@5 80.000 (78.647) Epoch: [57][2210/11272] Time 0.727 (0.794) Data 0.001 (0.003) Loss 2.0869 (2.0035) Prec@1 39.375 (48.108) Prec@5 78.750 (78.643) Epoch: [57][2220/11272] Time 0.841 (0.794) Data 0.002 (0.003) Loss 2.1487 (2.0038) Prec@1 46.250 (48.104) Prec@5 74.375 (78.642) Epoch: [57][2230/11272] Time 0.718 (0.794) Data 0.003 (0.003) Loss 2.2113 (2.0036) Prec@1 41.875 (48.105) Prec@5 71.250 (78.644) Epoch: [57][2240/11272] Time 0.729 (0.794) Data 0.002 (0.003) Loss 1.8353 (2.0035) Prec@1 47.500 (48.100) Prec@5 79.375 (78.646) Epoch: [57][2250/11272] Time 0.836 (0.794) Data 0.002 (0.003) Loss 2.1414 (2.0037) Prec@1 45.625 (48.096) Prec@5 75.000 (78.639) Epoch: [57][2260/11272] Time 0.861 (0.794) Data 0.001 (0.003) Loss 1.9934 (2.0035) Prec@1 44.375 (48.105) Prec@5 78.125 (78.639) Epoch: [57][2270/11272] Time 0.770 (0.795) Data 0.002 (0.003) Loss 2.1396 (2.0038) Prec@1 50.000 (48.097) Prec@5 77.500 (78.634) Epoch: [57][2280/11272] Time 0.735 (0.795) Data 0.001 (0.003) Loss 1.8906 (2.0035) Prec@1 52.500 (48.102) Prec@5 78.750 (78.638) Epoch: [57][2290/11272] Time 0.847 (0.795) Data 0.002 (0.003) Loss 1.9682 (2.0035) Prec@1 47.500 (48.102) Prec@5 77.500 (78.636) Epoch: [57][2300/11272] Time 0.864 (0.795) Data 0.001 (0.003) Loss 2.0026 (2.0032) Prec@1 53.125 (48.114) Prec@5 74.375 (78.638) Epoch: [57][2310/11272] Time 0.820 (0.795) Data 0.002 (0.003) Loss 1.9187 (2.0032) Prec@1 48.125 (48.114) Prec@5 80.625 (78.640) Epoch: [57][2320/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 1.9576 (2.0031) Prec@1 49.375 (48.114) Prec@5 80.625 (78.639) Epoch: [57][2330/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 1.9976 (2.0028) Prec@1 45.625 (48.116) Prec@5 81.250 (78.647) Epoch: [57][2340/11272] Time 0.843 (0.795) Data 0.002 (0.003) Loss 1.8088 (2.0029) Prec@1 50.625 (48.112) Prec@5 83.125 (78.646) Epoch: [57][2350/11272] Time 0.762 (0.795) Data 0.002 (0.003) Loss 1.9000 (2.0028) Prec@1 51.250 (48.115) Prec@5 81.875 (78.652) Epoch: [57][2360/11272] Time 0.847 (0.795) Data 0.002 (0.003) Loss 1.7889 (2.0027) Prec@1 49.375 (48.115) Prec@5 79.375 (78.653) Epoch: [57][2370/11272] Time 0.850 (0.795) Data 0.002 (0.003) Loss 2.1473 (2.0029) Prec@1 43.125 (48.105) Prec@5 74.375 (78.649) Epoch: [57][2380/11272] Time 0.750 (0.795) Data 0.001 (0.003) Loss 1.6565 (2.0031) Prec@1 51.250 (48.099) Prec@5 90.000 (78.646) Epoch: [57][2390/11272] Time 0.751 (0.795) Data 0.003 (0.003) Loss 2.2251 (2.0035) Prec@1 42.500 (48.088) Prec@5 73.750 (78.640) Epoch: [57][2400/11272] Time 0.904 (0.795) Data 0.001 (0.003) Loss 1.7436 (2.0033) Prec@1 53.125 (48.094) Prec@5 84.375 (78.643) Epoch: [57][2410/11272] Time 0.851 (0.795) Data 0.002 (0.003) Loss 1.9187 (2.0038) Prec@1 51.250 (48.075) Prec@5 79.375 (78.634) Epoch: [57][2420/11272] Time 0.778 (0.795) Data 0.002 (0.003) Loss 2.1860 (2.0038) Prec@1 45.000 (48.073) Prec@5 76.250 (78.634) Epoch: [57][2430/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 1.8939 (2.0038) Prec@1 47.500 (48.072) Prec@5 78.750 (78.632) Epoch: [57][2440/11272] Time 0.849 (0.795) Data 0.001 (0.003) Loss 2.1391 (2.0040) Prec@1 50.625 (48.068) Prec@5 74.375 (78.631) Epoch: [57][2450/11272] Time 0.863 (0.795) Data 0.001 (0.003) Loss 2.0317 (2.0040) Prec@1 43.125 (48.069) Prec@5 75.625 (78.631) Epoch: [57][2460/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 2.0606 (2.0043) Prec@1 54.375 (48.062) Prec@5 76.250 (78.630) Epoch: [57][2470/11272] Time 0.739 (0.795) Data 0.002 (0.003) Loss 1.8642 (2.0042) Prec@1 53.125 (48.066) Prec@5 79.375 (78.631) Epoch: [57][2480/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 2.0726 (2.0042) Prec@1 48.750 (48.067) Prec@5 77.500 (78.629) Epoch: [57][2490/11272] Time 0.831 (0.795) Data 0.001 (0.003) Loss 2.0403 (2.0043) Prec@1 49.375 (48.065) Prec@5 77.500 (78.631) Epoch: [57][2500/11272] Time 0.743 (0.795) Data 0.002 (0.003) Loss 1.9486 (2.0041) Prec@1 52.500 (48.078) Prec@5 76.875 (78.631) Epoch: [57][2510/11272] Time 0.882 (0.795) Data 0.001 (0.003) Loss 1.8079 (2.0041) Prec@1 45.625 (48.075) Prec@5 83.125 (78.631) Epoch: [57][2520/11272] Time 0.898 (0.795) Data 0.002 (0.003) Loss 1.7871 (2.0042) Prec@1 55.625 (48.076) Prec@5 83.125 (78.626) Epoch: [57][2530/11272] Time 0.754 (0.795) Data 0.002 (0.003) Loss 2.0447 (2.0043) Prec@1 46.250 (48.070) Prec@5 79.375 (78.626) Epoch: [57][2540/11272] Time 0.740 (0.795) Data 0.002 (0.003) Loss 1.8971 (2.0041) Prec@1 48.125 (48.072) Prec@5 81.875 (78.628) Epoch: [57][2550/11272] Time 0.848 (0.795) Data 0.002 (0.003) Loss 2.0126 (2.0041) Prec@1 47.500 (48.069) Prec@5 79.375 (78.627) Epoch: [57][2560/11272] Time 0.878 (0.795) Data 0.001 (0.003) Loss 1.9197 (2.0041) Prec@1 48.750 (48.066) Prec@5 78.750 (78.630) Epoch: [57][2570/11272] Time 0.738 (0.795) Data 0.002 (0.003) Loss 1.9867 (2.0043) Prec@1 45.000 (48.061) Prec@5 76.875 (78.625) Epoch: [57][2580/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 1.7810 (2.0043) Prec@1 56.875 (48.057) Prec@5 81.875 (78.624) Epoch: [57][2590/11272] Time 0.874 (0.795) Data 0.002 (0.003) Loss 2.2036 (2.0046) Prec@1 41.875 (48.050) Prec@5 76.250 (78.616) Epoch: [57][2600/11272] Time 0.872 (0.795) Data 0.002 (0.003) Loss 1.8251 (2.0045) Prec@1 49.375 (48.047) Prec@5 85.000 (78.623) Epoch: [57][2610/11272] Time 0.730 (0.795) Data 0.001 (0.003) Loss 1.9554 (2.0046) Prec@1 47.500 (48.043) Prec@5 82.500 (78.624) Epoch: [57][2620/11272] Time 0.729 (0.795) Data 0.001 (0.003) Loss 2.0196 (2.0045) Prec@1 52.500 (48.054) Prec@5 76.250 (78.626) Epoch: [57][2630/11272] Time 0.828 (0.795) Data 0.001 (0.003) Loss 1.9822 (2.0046) Prec@1 50.625 (48.049) Prec@5 78.750 (78.625) Epoch: [57][2640/11272] Time 0.743 (0.795) Data 0.001 (0.003) Loss 2.0412 (2.0049) Prec@1 43.750 (48.049) Prec@5 79.375 (78.621) Epoch: [57][2650/11272] Time 0.744 (0.795) Data 0.002 (0.003) Loss 1.7332 (2.0049) Prec@1 53.750 (48.059) Prec@5 84.375 (78.619) Epoch: [57][2660/11272] Time 0.802 (0.795) Data 0.001 (0.003) Loss 2.2744 (2.0049) Prec@1 45.000 (48.063) Prec@5 76.250 (78.620) Epoch: [57][2670/11272] Time 0.849 (0.795) Data 0.002 (0.003) Loss 2.0108 (2.0051) Prec@1 46.250 (48.060) Prec@5 76.875 (78.615) Epoch: [57][2680/11272] Time 0.719 (0.795) Data 0.002 (0.003) Loss 2.0006 (2.0051) Prec@1 55.625 (48.065) Prec@5 81.875 (78.620) Epoch: [57][2690/11272] Time 0.766 (0.795) Data 0.002 (0.003) Loss 1.8303 (2.0052) Prec@1 55.000 (48.061) Prec@5 83.750 (78.617) Epoch: [57][2700/11272] Time 0.878 (0.795) Data 0.001 (0.003) Loss 1.8225 (2.0049) Prec@1 58.750 (48.072) Prec@5 80.000 (78.622) Epoch: [57][2710/11272] Time 0.828 (0.795) Data 0.001 (0.003) Loss 1.9618 (2.0050) Prec@1 51.875 (48.071) Prec@5 80.625 (78.625) Epoch: [57][2720/11272] Time 0.741 (0.795) Data 0.001 (0.003) Loss 2.0318 (2.0051) Prec@1 44.375 (48.066) Prec@5 78.750 (78.620) Epoch: [57][2730/11272] Time 0.727 (0.795) Data 0.002 (0.003) Loss 2.0128 (2.0054) Prec@1 48.750 (48.061) Prec@5 77.500 (78.612) Epoch: [57][2740/11272] Time 0.893 (0.795) Data 0.002 (0.003) Loss 2.1783 (2.0055) Prec@1 47.500 (48.062) Prec@5 75.000 (78.611) Epoch: [57][2750/11272] Time 0.845 (0.795) Data 0.001 (0.003) Loss 2.0071 (2.0054) Prec@1 48.750 (48.060) Prec@5 82.500 (78.608) Epoch: [57][2760/11272] Time 0.731 (0.795) Data 0.002 (0.003) Loss 2.3276 (2.0057) Prec@1 46.250 (48.060) Prec@5 71.250 (78.602) Epoch: [57][2770/11272] Time 0.820 (0.795) Data 0.002 (0.003) Loss 2.3101 (2.0060) Prec@1 41.875 (48.055) Prec@5 73.750 (78.597) Epoch: [57][2780/11272] Time 0.835 (0.795) Data 0.001 (0.003) Loss 1.9744 (2.0061) Prec@1 50.625 (48.056) Prec@5 83.125 (78.595) Epoch: [57][2790/11272] Time 0.717 (0.795) Data 0.002 (0.003) Loss 2.0154 (2.0063) Prec@1 48.125 (48.051) Prec@5 78.750 (78.591) Epoch: [57][2800/11272] Time 0.730 (0.795) Data 0.002 (0.003) Loss 1.9540 (2.0062) Prec@1 51.875 (48.059) Prec@5 79.375 (78.595) Epoch: [57][2810/11272] Time 0.830 (0.795) Data 0.001 (0.003) Loss 2.0491 (2.0062) Prec@1 45.000 (48.057) Prec@5 75.000 (78.594) Epoch: [57][2820/11272] Time 0.844 (0.795) Data 0.001 (0.003) Loss 2.0205 (2.0061) Prec@1 43.750 (48.055) Prec@5 83.750 (78.597) Epoch: [57][2830/11272] Time 0.739 (0.795) Data 0.002 (0.003) Loss 2.2986 (2.0061) Prec@1 42.500 (48.055) Prec@5 70.000 (78.595) Epoch: [57][2840/11272] Time 0.725 (0.795) Data 0.002 (0.003) Loss 2.0682 (2.0060) Prec@1 46.250 (48.053) Prec@5 77.500 (78.594) Epoch: [57][2850/11272] Time 0.835 (0.795) Data 0.002 (0.003) Loss 1.9789 (2.0061) Prec@1 55.000 (48.054) Prec@5 76.875 (78.592) Epoch: [57][2860/11272] Time 0.831 (0.795) Data 0.001 (0.003) Loss 1.9456 (2.0061) Prec@1 50.625 (48.055) Prec@5 82.500 (78.590) Epoch: [57][2870/11272] Time 0.734 (0.795) Data 0.002 (0.003) Loss 2.0974 (2.0060) Prec@1 45.625 (48.061) Prec@5 75.000 (78.593) Epoch: [57][2880/11272] Time 0.722 (0.795) Data 0.002 (0.003) Loss 2.2397 (2.0063) Prec@1 45.625 (48.058) Prec@5 74.375 (78.589) Epoch: [57][2890/11272] Time 0.851 (0.795) Data 0.002 (0.003) Loss 1.9379 (2.0062) Prec@1 50.000 (48.058) Prec@5 78.125 (78.590) Epoch: [57][2900/11272] Time 0.741 (0.795) Data 0.003 (0.003) Loss 1.6689 (2.0061) Prec@1 54.375 (48.059) Prec@5 84.375 (78.594) Epoch: [57][2910/11272] Time 0.718 (0.795) Data 0.001 (0.003) Loss 1.8354 (2.0061) Prec@1 52.500 (48.058) Prec@5 81.250 (78.589) Epoch: [57][2920/11272] Time 0.867 (0.795) Data 0.002 (0.003) Loss 1.9530 (2.0058) Prec@1 52.500 (48.067) Prec@5 80.000 (78.593) Epoch: [57][2930/11272] Time 0.849 (0.795) Data 0.002 (0.003) Loss 1.8444 (2.0057) Prec@1 53.125 (48.071) Prec@5 78.125 (78.589) Epoch: [57][2940/11272] Time 0.726 (0.795) Data 0.002 (0.003) Loss 1.9409 (2.0056) Prec@1 56.250 (48.085) Prec@5 76.250 (78.588) Epoch: [57][2950/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 1.9564 (2.0057) Prec@1 48.125 (48.085) Prec@5 80.000 (78.584) Epoch: [57][2960/11272] Time 0.829 (0.795) Data 0.001 (0.003) Loss 1.9186 (2.0056) Prec@1 50.625 (48.082) Prec@5 78.750 (78.587) Epoch: [57][2970/11272] Time 0.833 (0.795) Data 0.002 (0.003) Loss 1.9176 (2.0055) Prec@1 45.000 (48.081) Prec@5 79.375 (78.591) Epoch: [57][2980/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 1.8136 (2.0051) Prec@1 50.000 (48.089) Prec@5 83.125 (78.597) Epoch: [57][2990/11272] Time 0.756 (0.795) Data 0.002 (0.003) Loss 2.1057 (2.0052) Prec@1 44.375 (48.088) Prec@5 75.000 (78.595) Epoch: [57][3000/11272] Time 0.849 (0.795) Data 0.002 (0.003) Loss 2.0594 (2.0054) Prec@1 46.875 (48.085) Prec@5 79.375 (78.590) Epoch: [57][3010/11272] Time 0.847 (0.795) Data 0.001 (0.003) Loss 1.7414 (2.0052) Prec@1 57.500 (48.092) Prec@5 84.375 (78.594) Epoch: [57][3020/11272] Time 0.724 (0.795) Data 0.002 (0.003) Loss 2.1223 (2.0051) Prec@1 45.625 (48.091) Prec@5 75.000 (78.595) Epoch: [57][3030/11272] Time 0.829 (0.795) Data 0.002 (0.003) Loss 2.1059 (2.0051) Prec@1 44.375 (48.084) Prec@5 77.500 (78.595) Epoch: [57][3040/11272] Time 0.838 (0.795) Data 0.001 (0.003) Loss 2.1282 (2.0051) Prec@1 52.500 (48.088) Prec@5 78.125 (78.596) Epoch: [57][3050/11272] Time 0.771 (0.795) Data 0.002 (0.003) Loss 1.9026 (2.0051) Prec@1 45.625 (48.086) Prec@5 76.875 (78.595) Epoch: [57][3060/11272] Time 0.720 (0.795) Data 0.002 (0.003) Loss 2.1630 (2.0051) Prec@1 46.250 (48.083) Prec@5 73.750 (78.596) Epoch: [57][3070/11272] Time 0.850 (0.795) Data 0.001 (0.003) Loss 2.1057 (2.0053) Prec@1 45.625 (48.078) Prec@5 75.625 (78.593) Epoch: [57][3080/11272] Time 0.880 (0.795) Data 0.001 (0.003) Loss 2.2498 (2.0054) Prec@1 46.250 (48.076) Prec@5 75.625 (78.591) Epoch: [57][3090/11272] Time 0.725 (0.795) Data 0.002 (0.003) Loss 1.9603 (2.0055) Prec@1 53.125 (48.078) Prec@5 78.125 (78.587) Epoch: [57][3100/11272] Time 0.740 (0.795) Data 0.002 (0.003) Loss 2.0289 (2.0054) Prec@1 51.250 (48.078) Prec@5 78.125 (78.588) Epoch: [57][3110/11272] Time 0.859 (0.795) Data 0.002 (0.003) Loss 2.2051 (2.0056) Prec@1 43.750 (48.078) Prec@5 79.375 (78.587) Epoch: [57][3120/11272] Time 0.849 (0.795) Data 0.002 (0.003) Loss 1.9151 (2.0056) Prec@1 50.000 (48.078) Prec@5 79.375 (78.585) Epoch: [57][3130/11272] Time 0.741 (0.795) Data 0.001 (0.003) Loss 2.1613 (2.0056) Prec@1 40.625 (48.074) Prec@5 76.250 (78.584) Epoch: [57][3140/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 2.2648 (2.0057) Prec@1 40.625 (48.071) Prec@5 73.125 (78.584) Epoch: [57][3150/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 2.0213 (2.0056) Prec@1 50.625 (48.073) Prec@5 80.625 (78.587) Epoch: [57][3160/11272] Time 0.755 (0.795) Data 0.004 (0.003) Loss 1.9627 (2.0056) Prec@1 45.000 (48.071) Prec@5 85.000 (78.587) Epoch: [57][3170/11272] Time 0.771 (0.795) Data 0.002 (0.003) Loss 2.0863 (2.0056) Prec@1 41.875 (48.072) Prec@5 79.375 (78.591) Epoch: [57][3180/11272] Time 0.801 (0.795) Data 0.001 (0.003) Loss 1.9068 (2.0056) Prec@1 48.750 (48.074) Prec@5 81.250 (78.590) Epoch: [57][3190/11272] Time 0.864 (0.795) Data 0.002 (0.003) Loss 1.9904 (2.0057) Prec@1 51.250 (48.078) Prec@5 78.125 (78.587) Epoch: [57][3200/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 2.2146 (2.0058) Prec@1 43.750 (48.076) Prec@5 73.125 (78.583) Epoch: [57][3210/11272] Time 0.733 (0.795) Data 0.001 (0.003) Loss 2.0325 (2.0058) Prec@1 47.500 (48.079) Prec@5 76.875 (78.582) Epoch: [57][3220/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 1.9420 (2.0060) Prec@1 50.000 (48.078) Prec@5 78.750 (78.580) Epoch: [57][3230/11272] Time 0.863 (0.795) Data 0.004 (0.003) Loss 1.9208 (2.0061) Prec@1 48.750 (48.076) Prec@5 79.375 (78.576) Epoch: [57][3240/11272] Time 0.732 (0.795) Data 0.002 (0.003) Loss 1.8761 (2.0062) Prec@1 50.625 (48.074) Prec@5 84.375 (78.572) Epoch: [57][3250/11272] Time 0.737 (0.795) Data 0.001 (0.003) Loss 1.9831 (2.0063) Prec@1 52.500 (48.072) Prec@5 74.375 (78.567) Epoch: [57][3260/11272] Time 0.846 (0.795) Data 0.002 (0.003) Loss 1.7779 (2.0062) Prec@1 50.625 (48.075) Prec@5 81.875 (78.568) Epoch: [57][3270/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 1.9258 (2.0062) Prec@1 51.875 (48.077) Prec@5 80.000 (78.569) Epoch: [57][3280/11272] Time 0.738 (0.795) Data 0.001 (0.003) Loss 2.1395 (2.0061) Prec@1 39.375 (48.077) Prec@5 78.125 (78.568) Epoch: [57][3290/11272] Time 0.834 (0.795) Data 0.002 (0.002) Loss 1.9553 (2.0059) Prec@1 48.750 (48.078) Prec@5 81.250 (78.571) Epoch: [57][3300/11272] Time 0.821 (0.795) Data 0.001 (0.002) Loss 2.0439 (2.0061) Prec@1 50.000 (48.076) Prec@5 76.250 (78.564) Epoch: [57][3310/11272] Time 0.762 (0.795) Data 0.001 (0.002) Loss 1.9917 (2.0061) Prec@1 51.250 (48.078) Prec@5 79.375 (78.564) Epoch: [57][3320/11272] Time 0.783 (0.795) Data 0.002 (0.002) Loss 2.0785 (2.0060) Prec@1 48.750 (48.081) Prec@5 80.000 (78.569) Epoch: [57][3330/11272] Time 0.855 (0.795) Data 0.001 (0.002) Loss 2.0679 (2.0060) Prec@1 45.625 (48.079) Prec@5 78.750 (78.576) Epoch: [57][3340/11272] Time 0.815 (0.795) Data 0.001 (0.002) Loss 2.1287 (2.0058) Prec@1 43.750 (48.082) Prec@5 78.750 (78.577) Epoch: [57][3350/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.1337 (2.0056) Prec@1 44.375 (48.084) Prec@5 75.000 (78.580) Epoch: [57][3360/11272] Time 0.766 (0.795) Data 0.001 (0.002) Loss 2.0450 (2.0056) Prec@1 44.375 (48.085) Prec@5 79.375 (78.582) Epoch: [57][3370/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 1.9637 (2.0058) Prec@1 46.875 (48.078) Prec@5 83.750 (78.577) Epoch: [57][3380/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.7773 (2.0056) Prec@1 50.000 (48.082) Prec@5 83.125 (78.578) Epoch: [57][3390/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.8883 (2.0054) Prec@1 48.750 (48.085) Prec@5 81.875 (78.582) Epoch: [57][3400/11272] Time 0.762 (0.795) Data 0.002 (0.002) Loss 2.0282 (2.0056) Prec@1 53.750 (48.084) Prec@5 78.750 (78.578) Epoch: [57][3410/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 2.2169 (2.0054) Prec@1 42.500 (48.089) Prec@5 75.000 (78.582) Epoch: [57][3420/11272] Time 0.828 (0.795) Data 0.002 (0.002) Loss 1.9102 (2.0054) Prec@1 47.500 (48.092) Prec@5 80.000 (78.583) Epoch: [57][3430/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 2.0353 (2.0055) Prec@1 45.625 (48.089) Prec@5 77.500 (78.583) Epoch: [57][3440/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 2.0569 (2.0059) Prec@1 50.625 (48.082) Prec@5 74.375 (78.572) Epoch: [57][3450/11272] Time 0.914 (0.795) Data 0.002 (0.002) Loss 1.9998 (2.0062) Prec@1 45.000 (48.076) Prec@5 76.875 (78.566) Epoch: [57][3460/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 2.0264 (2.0061) Prec@1 45.000 (48.076) Prec@5 83.125 (78.568) Epoch: [57][3470/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 2.1394 (2.0060) Prec@1 41.875 (48.076) Prec@5 78.750 (78.570) Epoch: [57][3480/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 2.0074 (2.0061) Prec@1 44.375 (48.069) Prec@5 77.500 (78.570) Epoch: [57][3490/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 1.9031 (2.0062) Prec@1 49.375 (48.068) Prec@5 78.125 (78.566) Epoch: [57][3500/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.8036 (2.0061) Prec@1 49.375 (48.071) Prec@5 84.375 (78.566) Epoch: [57][3510/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 2.2352 (2.0060) Prec@1 43.750 (48.074) Prec@5 73.125 (78.569) Epoch: [57][3520/11272] Time 0.855 (0.795) Data 0.001 (0.002) Loss 2.1137 (2.0063) Prec@1 46.250 (48.069) Prec@5 79.375 (78.563) Epoch: [57][3530/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.1667 (2.0063) Prec@1 43.125 (48.068) Prec@5 74.375 (78.563) Epoch: [57][3540/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.7871 (2.0062) Prec@1 53.750 (48.072) Prec@5 83.125 (78.564) Epoch: [57][3550/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.6926 (2.0062) Prec@1 50.000 (48.070) Prec@5 85.625 (78.567) Epoch: [57][3560/11272] Time 0.836 (0.795) Data 0.002 (0.002) Loss 2.2539 (2.0063) Prec@1 42.500 (48.065) Prec@5 71.250 (78.563) Epoch: [57][3570/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 2.1571 (2.0064) Prec@1 47.500 (48.064) Prec@5 74.375 (78.562) Epoch: [57][3580/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 1.7641 (2.0063) Prec@1 48.750 (48.061) Prec@5 83.125 (78.564) Epoch: [57][3590/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 2.0220 (2.0062) Prec@1 49.375 (48.065) Prec@5 79.375 (78.566) Epoch: [57][3600/11272] Time 0.864 (0.795) Data 0.002 (0.002) Loss 2.1435 (2.0064) Prec@1 40.000 (48.059) Prec@5 74.375 (78.561) Epoch: [57][3610/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.1824 (2.0064) Prec@1 45.625 (48.059) Prec@5 76.250 (78.559) Epoch: [57][3620/11272] Time 0.722 (0.795) Data 0.002 (0.002) Loss 1.7855 (2.0063) Prec@1 56.875 (48.062) Prec@5 83.125 (78.563) Epoch: [57][3630/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.1472 (2.0063) Prec@1 49.375 (48.065) Prec@5 77.500 (78.560) Epoch: [57][3640/11272] Time 0.852 (0.795) Data 0.001 (0.002) Loss 1.9052 (2.0064) Prec@1 45.000 (48.060) Prec@5 80.625 (78.560) Epoch: [57][3650/11272] Time 0.761 (0.795) Data 0.002 (0.002) Loss 2.2563 (2.0067) Prec@1 39.375 (48.054) Prec@5 72.500 (78.553) Epoch: [57][3660/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 1.8958 (2.0068) Prec@1 54.375 (48.053) Prec@5 80.625 (78.550) Epoch: [57][3670/11272] Time 0.888 (0.795) Data 0.002 (0.002) Loss 2.1027 (2.0069) Prec@1 46.250 (48.055) Prec@5 81.250 (78.551) Epoch: [57][3680/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 2.1136 (2.0070) Prec@1 48.750 (48.053) Prec@5 78.750 (78.553) Epoch: [57][3690/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 1.8275 (2.0070) Prec@1 50.000 (48.050) Prec@5 81.875 (78.553) Epoch: [57][3700/11272] Time 0.900 (0.795) Data 0.001 (0.002) Loss 2.2615 (2.0071) Prec@1 41.250 (48.049) Prec@5 73.750 (78.551) Epoch: [57][3710/11272] Time 0.840 (0.795) Data 0.001 (0.002) Loss 2.0332 (2.0070) Prec@1 47.500 (48.051) Prec@5 79.375 (78.555) Epoch: [57][3720/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.0793 (2.0070) Prec@1 45.625 (48.052) Prec@5 78.125 (78.553) Epoch: [57][3730/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 2.2873 (2.0071) Prec@1 40.625 (48.052) Prec@5 70.625 (78.551) Epoch: [57][3740/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 2.2942 (2.0070) Prec@1 41.875 (48.053) Prec@5 74.375 (78.551) Epoch: [57][3750/11272] Time 0.886 (0.795) Data 0.002 (0.002) Loss 1.9694 (2.0072) Prec@1 50.000 (48.050) Prec@5 76.250 (78.546) Epoch: [57][3760/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 2.2100 (2.0072) Prec@1 46.875 (48.051) Prec@5 75.625 (78.544) Epoch: [57][3770/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.1850 (2.0072) Prec@1 44.375 (48.052) Prec@5 77.500 (78.546) Epoch: [57][3780/11272] Time 0.874 (0.795) Data 0.002 (0.002) Loss 2.2400 (2.0072) Prec@1 43.750 (48.052) Prec@5 76.250 (78.547) Epoch: [57][3790/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 2.2015 (2.0073) Prec@1 44.375 (48.051) Prec@5 75.000 (78.544) Epoch: [57][3800/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 2.2577 (2.0075) Prec@1 41.875 (48.051) Prec@5 78.125 (78.541) Epoch: [57][3810/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 2.0047 (2.0078) Prec@1 49.375 (48.046) Prec@5 80.625 (78.533) Epoch: [57][3820/11272] Time 0.813 (0.795) Data 0.001 (0.002) Loss 2.0484 (2.0079) Prec@1 49.375 (48.047) Prec@5 76.250 (78.534) Epoch: [57][3830/11272] Time 0.737 (0.795) Data 0.003 (0.002) Loss 1.9861 (2.0079) Prec@1 46.875 (48.044) Prec@5 80.625 (78.536) Epoch: [57][3840/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.9331 (2.0078) Prec@1 49.375 (48.047) Prec@5 81.875 (78.539) Epoch: [57][3850/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.0255 (2.0080) Prec@1 45.000 (48.043) Prec@5 79.375 (78.535) Epoch: [57][3860/11272] Time 0.825 (0.795) Data 0.001 (0.002) Loss 1.9373 (2.0082) Prec@1 47.500 (48.036) Prec@5 81.875 (78.530) Epoch: [57][3870/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 2.0278 (2.0083) Prec@1 54.375 (48.033) Prec@5 80.625 (78.530) Epoch: [57][3880/11272] Time 0.793 (0.795) Data 0.001 (0.002) Loss 1.8998 (2.0082) Prec@1 54.375 (48.036) Prec@5 81.875 (78.529) Epoch: [57][3890/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 2.1770 (2.0083) Prec@1 46.875 (48.034) Prec@5 73.750 (78.526) Epoch: [57][3900/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 2.0114 (2.0084) Prec@1 47.500 (48.032) Prec@5 78.125 (78.524) Epoch: [57][3910/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 2.0800 (2.0083) Prec@1 42.500 (48.028) Prec@5 77.500 (78.528) Epoch: [57][3920/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.8633 (2.0084) Prec@1 48.125 (48.028) Prec@5 81.250 (78.529) Epoch: [57][3930/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 2.0947 (2.0082) Prec@1 51.250 (48.033) Prec@5 78.750 (78.535) Epoch: [57][3940/11272] Time 0.825 (0.795) Data 0.002 (0.002) Loss 1.9692 (2.0082) Prec@1 51.250 (48.035) Prec@5 79.375 (78.536) Epoch: [57][3950/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 1.9543 (2.0080) Prec@1 46.875 (48.037) Prec@5 80.000 (78.538) Epoch: [57][3960/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 2.3148 (2.0080) Prec@1 40.000 (48.034) Prec@5 76.250 (78.542) Epoch: [57][3970/11272] Time 0.869 (0.795) Data 0.002 (0.002) Loss 2.2640 (2.0078) Prec@1 48.125 (48.036) Prec@5 74.375 (78.547) Epoch: [57][3980/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 2.0031 (2.0078) Prec@1 47.500 (48.032) Prec@5 80.000 (78.544) Epoch: [57][3990/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 2.2548 (2.0081) Prec@1 40.000 (48.024) Prec@5 78.750 (78.540) Epoch: [57][4000/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.7734 (2.0080) Prec@1 50.625 (48.027) Prec@5 82.500 (78.540) Epoch: [57][4010/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 2.0892 (2.0079) Prec@1 48.125 (48.031) Prec@5 81.250 (78.544) Epoch: [57][4020/11272] Time 0.709 (0.795) Data 0.001 (0.002) Loss 2.1248 (2.0081) Prec@1 45.625 (48.026) Prec@5 76.250 (78.543) Epoch: [57][4030/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.8532 (2.0080) Prec@1 48.750 (48.026) Prec@5 83.750 (78.543) Epoch: [57][4040/11272] Time 0.877 (0.795) Data 0.002 (0.002) Loss 1.9081 (2.0080) Prec@1 48.750 (48.027) Prec@5 80.000 (78.544) Epoch: [57][4050/11272] Time 0.860 (0.795) Data 0.001 (0.002) Loss 1.9161 (2.0080) Prec@1 48.750 (48.029) Prec@5 80.000 (78.545) Epoch: [57][4060/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 2.1563 (2.0081) Prec@1 43.125 (48.024) Prec@5 78.750 (78.546) Epoch: [57][4070/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 2.1337 (2.0082) Prec@1 46.250 (48.019) Prec@5 76.250 (78.546) Epoch: [57][4080/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 2.0112 (2.0082) Prec@1 50.625 (48.023) Prec@5 78.750 (78.549) Epoch: [57][4090/11272] Time 0.741 (0.795) Data 0.003 (0.002) Loss 1.9667 (2.0082) Prec@1 50.000 (48.022) Prec@5 80.625 (78.550) Epoch: [57][4100/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 2.0853 (2.0082) Prec@1 48.750 (48.022) Prec@5 76.250 (78.550) Epoch: [57][4110/11272] Time 0.835 (0.795) Data 0.002 (0.002) Loss 1.9243 (2.0081) Prec@1 52.500 (48.026) Prec@5 75.625 (78.552) Epoch: [57][4120/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 2.1433 (2.0081) Prec@1 41.250 (48.025) Prec@5 73.125 (78.551) Epoch: [57][4130/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.8437 (2.0078) Prec@1 51.250 (48.031) Prec@5 83.125 (78.557) Epoch: [57][4140/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 2.0254 (2.0079) Prec@1 46.875 (48.029) Prec@5 78.750 (78.553) Epoch: [57][4150/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 1.9853 (2.0078) Prec@1 45.000 (48.032) Prec@5 80.625 (78.554) Epoch: [57][4160/11272] Time 0.860 (0.795) Data 0.001 (0.002) Loss 1.7579 (2.0077) Prec@1 56.875 (48.033) Prec@5 82.500 (78.558) Epoch: [57][4170/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.9230 (2.0079) Prec@1 50.625 (48.029) Prec@5 81.250 (78.553) Epoch: [57][4180/11272] Time 0.722 (0.795) Data 0.002 (0.002) Loss 2.2916 (2.0080) Prec@1 41.250 (48.024) Prec@5 73.125 (78.551) Epoch: [57][4190/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.0170 (2.0082) Prec@1 48.750 (48.016) Prec@5 80.000 (78.551) Epoch: [57][4200/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 2.0510 (2.0082) Prec@1 47.500 (48.014) Prec@5 76.875 (78.552) Epoch: [57][4210/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 2.1326 (2.0083) Prec@1 45.625 (48.009) Prec@5 71.875 (78.549) Epoch: [57][4220/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 2.2400 (2.0083) Prec@1 38.125 (48.006) Prec@5 75.000 (78.549) Epoch: [57][4230/11272] Time 0.851 (0.795) Data 0.002 (0.002) Loss 2.0004 (2.0084) Prec@1 46.875 (48.003) Prec@5 80.625 (78.547) Epoch: [57][4240/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 2.2608 (2.0085) Prec@1 45.000 (48.002) Prec@5 72.500 (78.546) Epoch: [57][4250/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.7995 (2.0084) Prec@1 52.500 (48.004) Prec@5 81.875 (78.545) Epoch: [57][4260/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 1.8558 (2.0085) Prec@1 53.750 (48.003) Prec@5 81.250 (78.542) Epoch: [57][4270/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 2.0725 (2.0086) Prec@1 46.875 (48.000) Prec@5 76.875 (78.539) Epoch: [57][4280/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 2.1065 (2.0087) Prec@1 45.625 (47.998) Prec@5 75.000 (78.537) Epoch: [57][4290/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.8028 (2.0087) Prec@1 51.250 (47.993) Prec@5 81.250 (78.535) Epoch: [57][4300/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 1.7965 (2.0087) Prec@1 49.375 (47.994) Prec@5 85.000 (78.536) Epoch: [57][4310/11272] Time 0.836 (0.795) Data 0.002 (0.002) Loss 1.8628 (2.0086) Prec@1 48.750 (47.997) Prec@5 81.875 (78.538) Epoch: [57][4320/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.9177 (2.0087) Prec@1 52.500 (47.994) Prec@5 77.500 (78.535) Epoch: [57][4330/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 2.0746 (2.0087) Prec@1 48.750 (47.997) Prec@5 76.250 (78.535) Epoch: [57][4340/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 1.8207 (2.0086) Prec@1 53.125 (47.998) Prec@5 83.125 (78.537) Epoch: [57][4350/11272] Time 0.820 (0.795) Data 0.002 (0.002) Loss 2.0564 (2.0086) Prec@1 48.125 (47.999) Prec@5 76.875 (78.540) Epoch: [57][4360/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 2.1693 (2.0086) Prec@1 43.750 (47.998) Prec@5 73.750 (78.540) Epoch: [57][4370/11272] Time 0.823 (0.795) Data 0.002 (0.002) Loss 1.8923 (2.0087) Prec@1 51.875 (47.995) Prec@5 82.500 (78.536) Epoch: [57][4380/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 1.7844 (2.0086) Prec@1 48.750 (47.995) Prec@5 79.375 (78.540) Epoch: [57][4390/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.9642 (2.0086) Prec@1 46.875 (47.994) Prec@5 80.000 (78.539) Epoch: [57][4400/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 2.0357 (2.0086) Prec@1 46.250 (47.997) Prec@5 79.375 (78.539) Epoch: [57][4410/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.1772 (2.0087) Prec@1 45.000 (47.995) Prec@5 76.875 (78.536) Epoch: [57][4420/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 1.9226 (2.0090) Prec@1 52.500 (47.990) Prec@5 81.875 (78.531) Epoch: [57][4430/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.9346 (2.0088) Prec@1 54.375 (47.995) Prec@5 78.125 (78.533) Epoch: [57][4440/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 2.1571 (2.0090) Prec@1 43.750 (47.989) Prec@5 75.625 (78.529) Epoch: [57][4450/11272] Time 0.850 (0.795) Data 0.001 (0.002) Loss 1.8165 (2.0090) Prec@1 49.375 (47.991) Prec@5 81.875 (78.530) Epoch: [57][4460/11272] Time 0.855 (0.795) Data 0.001 (0.002) Loss 2.0115 (2.0090) Prec@1 53.125 (47.992) Prec@5 77.500 (78.528) Epoch: [57][4470/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 2.0916 (2.0091) Prec@1 47.500 (47.985) Prec@5 77.500 (78.529) Epoch: [57][4480/11272] Time 0.745 (0.795) Data 0.002 (0.002) Loss 1.9925 (2.0091) Prec@1 41.875 (47.984) Prec@5 76.875 (78.531) Epoch: [57][4490/11272] Time 0.844 (0.795) Data 0.002 (0.002) Loss 1.8018 (2.0090) Prec@1 53.125 (47.985) Prec@5 85.000 (78.530) Epoch: [57][4500/11272] Time 0.785 (0.795) Data 0.002 (0.002) Loss 1.8381 (2.0091) Prec@1 54.375 (47.984) Prec@5 81.875 (78.527) Epoch: [57][4510/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.8506 (2.0092) Prec@1 47.500 (47.979) Prec@5 82.500 (78.525) Epoch: [57][4520/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.7272 (2.0092) Prec@1 51.250 (47.978) Prec@5 85.000 (78.525) Epoch: [57][4530/11272] Time 0.844 (0.795) Data 0.001 (0.002) Loss 2.0314 (2.0094) Prec@1 45.000 (47.974) Prec@5 78.750 (78.522) Epoch: [57][4540/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 2.1561 (2.0094) Prec@1 42.500 (47.973) Prec@5 76.875 (78.523) Epoch: [57][4550/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 2.1051 (2.0093) Prec@1 44.375 (47.974) Prec@5 76.875 (78.522) Epoch: [57][4560/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 2.0280 (2.0094) Prec@1 46.250 (47.976) Prec@5 83.125 (78.523) Epoch: [57][4570/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 2.1973 (2.0096) Prec@1 39.375 (47.972) Prec@5 75.000 (78.516) Epoch: [57][4580/11272] Time 0.744 (0.795) Data 0.001 (0.002) Loss 2.1229 (2.0098) Prec@1 47.500 (47.972) Prec@5 75.000 (78.513) Epoch: [57][4590/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 1.9509 (2.0099) Prec@1 47.500 (47.970) Prec@5 81.875 (78.513) Epoch: [57][4600/11272] Time 0.852 (0.795) Data 0.001 (0.002) Loss 1.9672 (2.0096) Prec@1 50.000 (47.973) Prec@5 76.250 (78.517) Epoch: [57][4610/11272] Time 0.870 (0.795) Data 0.002 (0.002) Loss 2.0584 (2.0095) Prec@1 46.250 (47.972) Prec@5 75.625 (78.518) Epoch: [57][4620/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 2.1434 (2.0096) Prec@1 41.250 (47.968) Prec@5 76.250 (78.518) Epoch: [57][4630/11272] Time 0.826 (0.795) Data 0.002 (0.002) Loss 2.1727 (2.0096) Prec@1 43.750 (47.965) Prec@5 77.500 (78.519) Epoch: [57][4640/11272] Time 0.862 (0.795) Data 0.001 (0.002) Loss 2.0920 (2.0095) Prec@1 47.500 (47.972) Prec@5 75.000 (78.519) Epoch: [57][4650/11272] Time 0.767 (0.795) Data 0.002 (0.002) Loss 1.9402 (2.0095) Prec@1 51.250 (47.971) Prec@5 81.250 (78.519) Epoch: [57][4660/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.9029 (2.0094) Prec@1 49.375 (47.976) Prec@5 82.500 (78.522) Epoch: [57][4670/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 2.0105 (2.0092) Prec@1 46.250 (47.977) Prec@5 77.500 (78.527) Epoch: [57][4680/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 2.2516 (2.0092) Prec@1 48.750 (47.981) Prec@5 75.000 (78.526) Epoch: [57][4690/11272] Time 0.766 (0.795) Data 0.002 (0.002) Loss 2.0179 (2.0092) Prec@1 45.000 (47.982) Prec@5 78.750 (78.527) Epoch: [57][4700/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.9793 (2.0092) Prec@1 49.375 (47.982) Prec@5 80.000 (78.528) Epoch: [57][4710/11272] Time 0.832 (0.795) Data 0.002 (0.002) Loss 1.9830 (2.0092) Prec@1 51.250 (47.981) Prec@5 74.375 (78.527) Epoch: [57][4720/11272] Time 0.865 (0.795) Data 0.002 (0.002) Loss 1.7650 (2.0093) Prec@1 53.125 (47.980) Prec@5 83.750 (78.523) Epoch: [57][4730/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 2.1467 (2.0093) Prec@1 45.625 (47.981) Prec@5 74.375 (78.525) Epoch: [57][4740/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.7562 (2.0092) Prec@1 53.125 (47.983) Prec@5 85.000 (78.527) Epoch: [57][4750/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 1.8993 (2.0093) Prec@1 50.625 (47.979) Prec@5 76.250 (78.525) Epoch: [57][4760/11272] Time 0.753 (0.795) Data 0.003 (0.002) Loss 2.1054 (2.0093) Prec@1 45.000 (47.981) Prec@5 78.125 (78.526) Epoch: [57][4770/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.8075 (2.0093) Prec@1 49.375 (47.983) Prec@5 85.000 (78.525) Epoch: [57][4780/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 1.8970 (2.0093) Prec@1 53.125 (47.982) Prec@5 83.125 (78.528) Epoch: [57][4790/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 1.9043 (2.0091) Prec@1 51.250 (47.984) Prec@5 80.625 (78.530) Epoch: [57][4800/11272] Time 0.795 (0.795) Data 0.001 (0.002) Loss 2.2204 (2.0092) Prec@1 45.625 (47.984) Prec@5 71.250 (78.528) Epoch: [57][4810/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.9677 (2.0093) Prec@1 49.375 (47.982) Prec@5 80.000 (78.525) Epoch: [57][4820/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 2.0799 (2.0093) Prec@1 47.500 (47.986) Prec@5 76.250 (78.525) Epoch: [57][4830/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 2.0705 (2.0093) Prec@1 40.000 (47.984) Prec@5 76.250 (78.523) Epoch: [57][4840/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 1.6727 (2.0093) Prec@1 55.625 (47.984) Prec@5 83.750 (78.526) Epoch: [57][4850/11272] Time 0.827 (0.795) Data 0.002 (0.002) Loss 1.9189 (2.0091) Prec@1 46.250 (47.984) Prec@5 79.375 (78.527) Epoch: [57][4860/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 1.9342 (2.0090) Prec@1 51.250 (47.988) Prec@5 81.250 (78.531) Epoch: [57][4870/11272] Time 0.859 (0.795) Data 0.001 (0.002) Loss 1.9722 (2.0091) Prec@1 48.125 (47.985) Prec@5 77.500 (78.527) Epoch: [57][4880/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 1.9265 (2.0091) Prec@1 49.375 (47.984) Prec@5 78.750 (78.529) Epoch: [57][4890/11272] Time 0.855 (0.795) Data 0.002 (0.002) Loss 2.3062 (2.0093) Prec@1 42.500 (47.982) Prec@5 74.375 (78.527) Epoch: [57][4900/11272] Time 0.843 (0.795) Data 0.002 (0.002) Loss 2.3107 (2.0093) Prec@1 43.125 (47.983) Prec@5 73.750 (78.528) Epoch: [57][4910/11272] Time 0.744 (0.795) Data 0.001 (0.002) Loss 2.0580 (2.0093) Prec@1 46.250 (47.982) Prec@5 75.000 (78.527) Epoch: [57][4920/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 2.1765 (2.0094) Prec@1 49.375 (47.978) Prec@5 75.000 (78.526) Epoch: [57][4930/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.9387 (2.0094) Prec@1 51.875 (47.980) Prec@5 78.125 (78.525) Epoch: [57][4940/11272] Time 0.922 (0.795) Data 0.002 (0.002) Loss 2.0862 (2.0096) Prec@1 46.875 (47.980) Prec@5 78.125 (78.523) Epoch: [57][4950/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 1.9645 (2.0097) Prec@1 45.625 (47.979) Prec@5 80.000 (78.523) Epoch: [57][4960/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.9693 (2.0096) Prec@1 46.250 (47.979) Prec@5 79.375 (78.523) Epoch: [57][4970/11272] Time 0.844 (0.795) Data 0.002 (0.002) Loss 2.1536 (2.0098) Prec@1 47.500 (47.973) Prec@5 75.625 (78.520) Epoch: [57][4980/11272] Time 0.832 (0.795) Data 0.002 (0.002) Loss 1.8582 (2.0097) Prec@1 51.875 (47.977) Prec@5 79.375 (78.519) Epoch: [57][4990/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 1.7639 (2.0098) Prec@1 53.750 (47.976) Prec@5 85.000 (78.519) Epoch: [57][5000/11272] Time 0.758 (0.795) Data 0.002 (0.002) Loss 1.9765 (2.0098) Prec@1 46.875 (47.973) Prec@5 78.125 (78.518) Epoch: [57][5010/11272] Time 0.850 (0.795) Data 0.001 (0.002) Loss 2.1175 (2.0099) Prec@1 46.875 (47.973) Prec@5 78.125 (78.517) Epoch: [57][5020/11272] Time 0.717 (0.795) Data 0.003 (0.002) Loss 1.9306 (2.0099) Prec@1 41.250 (47.972) Prec@5 80.625 (78.518) Epoch: [57][5030/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 2.0664 (2.0100) Prec@1 50.000 (47.972) Prec@5 77.500 (78.517) Epoch: [57][5040/11272] Time 0.865 (0.795) Data 0.002 (0.002) Loss 1.9045 (2.0099) Prec@1 46.875 (47.975) Prec@5 78.125 (78.518) Epoch: [57][5050/11272] Time 0.810 (0.795) Data 0.001 (0.002) Loss 1.9600 (2.0100) Prec@1 49.375 (47.975) Prec@5 77.500 (78.517) Epoch: [57][5060/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 2.1312 (2.0101) Prec@1 44.375 (47.972) Prec@5 79.375 (78.515) Epoch: [57][5070/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 2.1945 (2.0100) Prec@1 41.250 (47.974) Prec@5 77.500 (78.515) Epoch: [57][5080/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 2.1865 (2.0100) Prec@1 45.000 (47.975) Prec@5 76.250 (78.514) Epoch: [57][5090/11272] Time 0.823 (0.795) Data 0.002 (0.002) Loss 1.9997 (2.0101) Prec@1 47.500 (47.973) Prec@5 76.250 (78.511) Epoch: [57][5100/11272] Time 0.760 (0.795) Data 0.001 (0.002) Loss 2.0333 (2.0102) Prec@1 46.250 (47.970) Prec@5 73.750 (78.508) Epoch: [57][5110/11272] Time 0.771 (0.795) Data 0.002 (0.002) Loss 1.7372 (2.0101) Prec@1 55.000 (47.973) Prec@5 81.875 (78.513) Epoch: [57][5120/11272] Time 0.832 (0.795) Data 0.002 (0.002) Loss 2.0749 (2.0102) Prec@1 47.500 (47.973) Prec@5 75.000 (78.510) Epoch: [57][5130/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 2.2157 (2.0102) Prec@1 45.625 (47.972) Prec@5 71.875 (78.509) Epoch: [57][5140/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 1.9436 (2.0101) Prec@1 45.625 (47.970) Prec@5 77.500 (78.511) Epoch: [57][5150/11272] Time 0.814 (0.795) Data 0.002 (0.002) Loss 1.7997 (2.0101) Prec@1 53.750 (47.973) Prec@5 82.500 (78.514) Epoch: [57][5160/11272] Time 0.877 (0.795) Data 0.001 (0.002) Loss 2.1120 (2.0103) Prec@1 45.000 (47.965) Prec@5 75.000 (78.511) Epoch: [57][5170/11272] Time 0.766 (0.795) Data 0.001 (0.002) Loss 2.1134 (2.0105) Prec@1 46.250 (47.962) Prec@5 73.750 (78.507) Epoch: [57][5180/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.8605 (2.0104) Prec@1 44.375 (47.959) Prec@5 85.000 (78.510) Epoch: [57][5190/11272] Time 0.847 (0.795) Data 0.002 (0.002) Loss 2.0445 (2.0104) Prec@1 50.000 (47.963) Prec@5 82.500 (78.511) Epoch: [57][5200/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 2.1897 (2.0105) Prec@1 44.375 (47.960) Prec@5 77.500 (78.508) Epoch: [57][5210/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 1.9925 (2.0105) Prec@1 45.625 (47.959) Prec@5 79.375 (78.509) Epoch: [57][5220/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 2.0343 (2.0106) Prec@1 44.375 (47.956) Prec@5 78.125 (78.508) Epoch: [57][5230/11272] Time 0.830 (0.795) Data 0.002 (0.002) Loss 1.8909 (2.0107) Prec@1 50.625 (47.955) Prec@5 86.250 (78.507) Epoch: [57][5240/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 2.2331 (2.0107) Prec@1 46.250 (47.953) Prec@5 75.625 (78.507) Epoch: [57][5250/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.9385 (2.0108) Prec@1 45.625 (47.952) Prec@5 81.250 (78.506) Epoch: [57][5260/11272] Time 0.758 (0.795) Data 0.002 (0.002) Loss 1.9725 (2.0109) Prec@1 50.625 (47.952) Prec@5 80.000 (78.505) Epoch: [57][5270/11272] Time 0.877 (0.795) Data 0.002 (0.002) Loss 2.1143 (2.0110) Prec@1 40.625 (47.948) Prec@5 81.875 (78.501) Epoch: [57][5280/11272] Time 0.827 (0.795) Data 0.002 (0.002) Loss 1.9682 (2.0110) Prec@1 47.500 (47.950) Prec@5 75.000 (78.502) Epoch: [57][5290/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 2.3860 (2.0110) Prec@1 39.375 (47.949) Prec@5 71.875 (78.505) Epoch: [57][5300/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 2.1949 (2.0110) Prec@1 42.500 (47.950) Prec@5 77.500 (78.503) Epoch: [57][5310/11272] Time 0.853 (0.795) Data 0.002 (0.002) Loss 2.3436 (2.0111) Prec@1 42.500 (47.949) Prec@5 70.625 (78.504) Epoch: [57][5320/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.7666 (2.0111) Prec@1 55.625 (47.950) Prec@5 83.125 (78.506) Epoch: [57][5330/11272] Time 0.709 (0.795) Data 0.001 (0.002) Loss 2.2019 (2.0110) Prec@1 48.125 (47.951) Prec@5 77.500 (78.508) Epoch: [57][5340/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 2.0244 (2.0110) Prec@1 48.750 (47.950) Prec@5 76.875 (78.508) Epoch: [57][5350/11272] Time 0.843 (0.795) Data 0.002 (0.002) Loss 2.1258 (2.0112) Prec@1 45.625 (47.948) Prec@5 77.500 (78.505) Epoch: [57][5360/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.3155 (2.0111) Prec@1 39.375 (47.948) Prec@5 71.875 (78.506) Epoch: [57][5370/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.7790 (2.0110) Prec@1 53.750 (47.952) Prec@5 80.000 (78.506) Epoch: [57][5380/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 2.5463 (2.0111) Prec@1 43.750 (47.951) Prec@5 68.750 (78.505) Epoch: [57][5390/11272] Time 0.800 (0.795) Data 0.001 (0.002) Loss 2.0170 (2.0112) Prec@1 45.000 (47.949) Prec@5 80.625 (78.503) Epoch: [57][5400/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 2.0446 (2.0111) Prec@1 46.875 (47.949) Prec@5 77.500 (78.502) Epoch: [57][5410/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.1093 (2.0111) Prec@1 50.000 (47.955) Prec@5 73.750 (78.501) Epoch: [57][5420/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.8871 (2.0111) Prec@1 50.625 (47.956) Prec@5 81.875 (78.500) Epoch: [57][5430/11272] Time 0.755 (0.795) Data 0.002 (0.002) Loss 2.0839 (2.0111) Prec@1 48.750 (47.958) Prec@5 77.500 (78.503) Epoch: [57][5440/11272] Time 0.776 (0.795) Data 0.002 (0.002) Loss 2.1259 (2.0111) Prec@1 46.250 (47.959) Prec@5 76.250 (78.503) Epoch: [57][5450/11272] Time 0.861 (0.795) Data 0.002 (0.002) Loss 2.0233 (2.0110) Prec@1 50.000 (47.959) Prec@5 79.375 (78.504) Epoch: [57][5460/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 2.2510 (2.0111) Prec@1 48.750 (47.960) Prec@5 70.000 (78.500) Epoch: [57][5470/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 2.2670 (2.0112) Prec@1 40.625 (47.956) Prec@5 72.500 (78.500) Epoch: [57][5480/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 2.0001 (2.0112) Prec@1 44.375 (47.958) Prec@5 76.875 (78.500) Epoch: [57][5490/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 1.8256 (2.0112) Prec@1 56.875 (47.959) Prec@5 81.250 (78.501) Epoch: [57][5500/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 2.0745 (2.0113) Prec@1 45.625 (47.955) Prec@5 77.500 (78.501) Epoch: [57][5510/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.9369 (2.0111) Prec@1 48.125 (47.957) Prec@5 80.625 (78.504) Epoch: [57][5520/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.8827 (2.0112) Prec@1 54.375 (47.957) Prec@5 78.125 (78.503) Epoch: [57][5530/11272] Time 0.855 (0.795) Data 0.002 (0.002) Loss 2.1400 (2.0113) Prec@1 45.000 (47.955) Prec@5 76.250 (78.501) Epoch: [57][5540/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 2.1096 (2.0114) Prec@1 50.625 (47.954) Prec@5 77.500 (78.500) Epoch: [57][5550/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.7966 (2.0115) Prec@1 52.500 (47.951) Prec@5 82.500 (78.500) Epoch: [57][5560/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 2.1811 (2.0114) Prec@1 44.375 (47.952) Prec@5 73.125 (78.501) Epoch: [57][5570/11272] Time 0.848 (0.795) Data 0.002 (0.002) Loss 2.0560 (2.0115) Prec@1 45.000 (47.950) Prec@5 78.750 (78.500) Epoch: [57][5580/11272] Time 0.755 (0.795) Data 0.001 (0.002) Loss 2.1611 (2.0116) Prec@1 46.875 (47.949) Prec@5 76.875 (78.500) Epoch: [57][5590/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 2.0686 (2.0117) Prec@1 44.375 (47.946) Prec@5 80.625 (78.500) Epoch: [57][5600/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 2.0032 (2.0117) Prec@1 45.000 (47.944) Prec@5 80.625 (78.499) Epoch: [57][5610/11272] Time 0.844 (0.795) Data 0.002 (0.002) Loss 2.1832 (2.0117) Prec@1 43.125 (47.945) Prec@5 78.125 (78.502) Epoch: [57][5620/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 1.9479 (2.0117) Prec@1 54.375 (47.945) Prec@5 79.375 (78.501) Epoch: [57][5630/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 1.7047 (2.0116) Prec@1 51.250 (47.948) Prec@5 85.625 (78.502) Epoch: [57][5640/11272] Time 0.838 (0.795) Data 0.002 (0.002) Loss 2.1701 (2.0115) Prec@1 43.125 (47.950) Prec@5 78.750 (78.503) Epoch: [57][5650/11272] Time 0.879 (0.795) Data 0.002 (0.002) Loss 2.0609 (2.0114) Prec@1 44.375 (47.953) Prec@5 79.375 (78.508) Epoch: [57][5660/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 1.8236 (2.0115) Prec@1 53.750 (47.953) Prec@5 82.500 (78.505) Epoch: [57][5670/11272] Time 0.747 (0.795) Data 0.001 (0.002) Loss 2.1365 (2.0115) Prec@1 45.625 (47.953) Prec@5 74.375 (78.504) Epoch: [57][5680/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 2.0444 (2.0115) Prec@1 46.875 (47.953) Prec@5 78.750 (78.506) Epoch: [57][5690/11272] Time 0.746 (0.795) Data 0.003 (0.002) Loss 2.2765 (2.0115) Prec@1 38.750 (47.954) Prec@5 73.125 (78.509) Epoch: [57][5700/11272] Time 0.762 (0.795) Data 0.002 (0.002) Loss 2.1451 (2.0116) Prec@1 48.750 (47.952) Prec@5 75.625 (78.507) Epoch: [57][5710/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 2.0603 (2.0115) Prec@1 47.500 (47.955) Prec@5 78.750 (78.509) Epoch: [57][5720/11272] Time 0.883 (0.795) Data 0.002 (0.002) Loss 2.2056 (2.0117) Prec@1 41.875 (47.952) Prec@5 78.750 (78.505) Epoch: [57][5730/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.9610 (2.0115) Prec@1 45.000 (47.955) Prec@5 82.500 (78.506) Epoch: [57][5740/11272] Time 0.717 (0.795) Data 0.002 (0.002) Loss 2.0874 (2.0115) Prec@1 46.875 (47.955) Prec@5 78.125 (78.507) Epoch: [57][5750/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 2.0567 (2.0115) Prec@1 49.375 (47.953) Prec@5 79.375 (78.507) Epoch: [57][5760/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 1.8478 (2.0115) Prec@1 52.500 (47.953) Prec@5 83.750 (78.507) Epoch: [57][5770/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.8216 (2.0116) Prec@1 48.125 (47.951) Prec@5 84.375 (78.505) Epoch: [57][5780/11272] Time 0.751 (0.795) Data 0.002 (0.002) Loss 1.9589 (2.0117) Prec@1 45.000 (47.950) Prec@5 80.000 (78.505) Epoch: [57][5790/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 2.0434 (2.0117) Prec@1 48.750 (47.948) Prec@5 80.000 (78.504) Epoch: [57][5800/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 2.1995 (2.0119) Prec@1 39.375 (47.944) Prec@5 76.875 (78.502) Epoch: [57][5810/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 2.0818 (2.0119) Prec@1 45.625 (47.941) Prec@5 74.375 (78.501) Epoch: [57][5820/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 2.1807 (2.0120) Prec@1 43.125 (47.939) Prec@5 75.000 (78.499) Epoch: [57][5830/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 1.8292 (2.0120) Prec@1 51.875 (47.941) Prec@5 81.250 (78.500) Epoch: [57][5840/11272] Time 0.756 (0.795) Data 0.001 (0.002) Loss 1.9016 (2.0119) Prec@1 50.625 (47.944) Prec@5 80.625 (78.498) Epoch: [57][5850/11272] Time 0.740 (0.795) Data 0.002 (0.002) Loss 1.8159 (2.0120) Prec@1 56.875 (47.944) Prec@5 81.250 (78.497) Epoch: [57][5860/11272] Time 0.853 (0.795) Data 0.001 (0.002) Loss 1.7824 (2.0119) Prec@1 49.375 (47.944) Prec@5 82.500 (78.500) Epoch: [57][5870/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 1.9447 (2.0121) Prec@1 45.000 (47.941) Prec@5 83.125 (78.497) Epoch: [57][5880/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.9528 (2.0121) Prec@1 51.250 (47.939) Prec@5 80.625 (78.497) Epoch: [57][5890/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.9892 (2.0120) Prec@1 47.500 (47.939) Prec@5 78.125 (78.499) Epoch: [57][5900/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 1.8987 (2.0120) Prec@1 48.750 (47.937) Prec@5 82.500 (78.499) Epoch: [57][5910/11272] Time 0.888 (0.795) Data 0.002 (0.002) Loss 2.3908 (2.0121) Prec@1 38.125 (47.935) Prec@5 72.500 (78.496) Epoch: [57][5920/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.7924 (2.0122) Prec@1 49.375 (47.932) Prec@5 83.750 (78.494) Epoch: [57][5930/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 2.0442 (2.0122) Prec@1 43.750 (47.932) Prec@5 81.250 (78.495) Epoch: [57][5940/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 2.1111 (2.0122) Prec@1 46.250 (47.931) Prec@5 72.500 (78.492) Epoch: [57][5950/11272] Time 0.739 (0.795) Data 0.003 (0.002) Loss 2.0458 (2.0123) Prec@1 55.000 (47.930) Prec@5 78.750 (78.492) Epoch: [57][5960/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.9865 (2.0122) Prec@1 50.625 (47.934) Prec@5 77.500 (78.493) Epoch: [57][5970/11272] Time 0.835 (0.795) Data 0.002 (0.002) Loss 2.6163 (2.0122) Prec@1 39.375 (47.935) Prec@5 64.375 (78.492) Epoch: [57][5980/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 1.9131 (2.0122) Prec@1 47.500 (47.935) Prec@5 79.375 (78.491) Epoch: [57][5990/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.9755 (2.0123) Prec@1 50.000 (47.933) Prec@5 83.750 (78.489) Epoch: [57][6000/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0994 (2.0124) Prec@1 43.125 (47.930) Prec@5 76.250 (78.487) Epoch: [57][6010/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 2.1194 (2.0123) Prec@1 53.750 (47.934) Prec@5 76.250 (78.486) Epoch: [57][6020/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 1.8267 (2.0124) Prec@1 46.875 (47.933) Prec@5 82.500 (78.485) Epoch: [57][6030/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0318 (2.0123) Prec@1 49.375 (47.935) Prec@5 77.500 (78.484) Epoch: [57][6040/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 2.0701 (2.0124) Prec@1 46.875 (47.934) Prec@5 78.125 (78.481) Epoch: [57][6050/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 2.1551 (2.0124) Prec@1 46.875 (47.934) Prec@5 72.500 (78.482) Epoch: [57][6060/11272] Time 0.821 (0.794) Data 0.005 (0.002) Loss 1.8857 (2.0123) Prec@1 50.000 (47.936) Prec@5 79.375 (78.482) Epoch: [57][6070/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 1.7661 (2.0123) Prec@1 56.250 (47.936) Prec@5 82.500 (78.484) Epoch: [57][6080/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 1.9256 (2.0124) Prec@1 44.375 (47.933) Prec@5 78.125 (78.480) Epoch: [57][6090/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.2498 (2.0126) Prec@1 40.625 (47.931) Prec@5 71.875 (78.477) Epoch: [57][6100/11272] Time 0.746 (0.794) Data 0.001 (0.002) Loss 1.9122 (2.0125) Prec@1 49.375 (47.931) Prec@5 78.750 (78.475) Epoch: [57][6110/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 1.8916 (2.0124) Prec@1 51.875 (47.934) Prec@5 81.875 (78.478) Epoch: [57][6120/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.0847 (2.0125) Prec@1 50.000 (47.934) Prec@5 76.875 (78.477) Epoch: [57][6130/11272] Time 0.813 (0.794) Data 0.001 (0.002) Loss 2.1422 (2.0124) Prec@1 43.750 (47.934) Prec@5 76.875 (78.479) Epoch: [57][6140/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9301 (2.0123) Prec@1 50.000 (47.938) Prec@5 80.000 (78.480) Epoch: [57][6150/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 2.0550 (2.0124) Prec@1 46.875 (47.936) Prec@5 78.750 (78.479) Epoch: [57][6160/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.2187 (2.0124) Prec@1 48.125 (47.934) Prec@5 75.625 (78.479) Epoch: [57][6170/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 2.1007 (2.0124) Prec@1 49.375 (47.933) Prec@5 71.875 (78.479) Epoch: [57][6180/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.9308 (2.0123) Prec@1 50.000 (47.936) Prec@5 78.750 (78.480) Epoch: [57][6190/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.8034 (2.0122) Prec@1 51.875 (47.938) Prec@5 84.375 (78.482) Epoch: [57][6200/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 2.2366 (2.0122) Prec@1 47.500 (47.938) Prec@5 72.500 (78.483) Epoch: [57][6210/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 2.3646 (2.0123) Prec@1 38.125 (47.936) Prec@5 75.625 (78.480) Epoch: [57][6220/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 2.3775 (2.0123) Prec@1 43.750 (47.938) Prec@5 71.875 (78.479) Epoch: [57][6230/11272] Time 0.828 (0.794) Data 0.002 (0.002) Loss 2.1948 (2.0124) Prec@1 47.500 (47.937) Prec@5 76.250 (78.478) Epoch: [57][6240/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.1158 (2.0124) Prec@1 45.625 (47.936) Prec@5 77.500 (78.478) Epoch: [57][6250/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9586 (2.0124) Prec@1 49.375 (47.935) Prec@5 77.500 (78.477) Epoch: [57][6260/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 2.0257 (2.0124) Prec@1 44.375 (47.930) Prec@5 76.250 (78.475) Epoch: [57][6270/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 2.0090 (2.0124) Prec@1 50.000 (47.931) Prec@5 79.375 (78.474) Epoch: [57][6280/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.1224 (2.0124) Prec@1 45.625 (47.928) Prec@5 76.875 (78.474) Epoch: [57][6290/11272] Time 0.735 (0.794) Data 0.001 (0.002) Loss 2.0210 (2.0125) Prec@1 50.625 (47.928) Prec@5 78.125 (78.473) Epoch: [57][6300/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 1.9199 (2.0124) Prec@1 48.125 (47.930) Prec@5 79.375 (78.472) Epoch: [57][6310/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1277 (2.0125) Prec@1 44.375 (47.928) Prec@5 78.750 (78.470) Epoch: [57][6320/11272] Time 0.818 (0.794) Data 0.001 (0.002) Loss 1.8988 (2.0125) Prec@1 47.500 (47.929) Prec@5 79.375 (78.471) Epoch: [57][6330/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.9964 (2.0125) Prec@1 55.000 (47.930) Prec@5 80.000 (78.470) Epoch: [57][6340/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.8588 (2.0125) Prec@1 51.250 (47.932) Prec@5 81.875 (78.469) Epoch: [57][6350/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.8829 (2.0124) Prec@1 53.125 (47.935) Prec@5 80.625 (78.470) Epoch: [57][6360/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.9063 (2.0123) Prec@1 51.875 (47.939) Prec@5 78.750 (78.471) Epoch: [57][6370/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.8910 (2.0122) Prec@1 49.375 (47.940) Prec@5 83.750 (78.472) Epoch: [57][6380/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.9488 (2.0121) Prec@1 46.875 (47.939) Prec@5 79.375 (78.473) Epoch: [57][6390/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 2.1404 (2.0121) Prec@1 49.375 (47.939) Prec@5 72.500 (78.472) Epoch: [57][6400/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0781 (2.0122) Prec@1 43.750 (47.936) Prec@5 76.250 (78.470) Epoch: [57][6410/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.8112 (2.0122) Prec@1 49.375 (47.938) Prec@5 83.750 (78.472) Epoch: [57][6420/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 2.0872 (2.0122) Prec@1 46.875 (47.936) Prec@5 75.625 (78.470) Epoch: [57][6430/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 1.8486 (2.0122) Prec@1 55.625 (47.939) Prec@5 76.875 (78.469) Epoch: [57][6440/11272] Time 0.712 (0.794) Data 0.001 (0.002) Loss 2.1838 (2.0122) Prec@1 45.625 (47.939) Prec@5 78.750 (78.470) Epoch: [57][6450/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.9644 (2.0122) Prec@1 51.250 (47.937) Prec@5 80.000 (78.470) Epoch: [57][6460/11272] Time 0.810 (0.794) Data 0.002 (0.002) Loss 1.8685 (2.0121) Prec@1 53.750 (47.939) Prec@5 77.500 (78.470) Epoch: [57][6470/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.1229 (2.0120) Prec@1 45.000 (47.939) Prec@5 75.625 (78.473) Epoch: [57][6480/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.0786 (2.0120) Prec@1 44.375 (47.936) Prec@5 78.125 (78.473) Epoch: [57][6490/11272] Time 0.884 (0.794) Data 0.001 (0.002) Loss 2.0709 (2.0121) Prec@1 47.500 (47.936) Prec@5 76.250 (78.470) Epoch: [57][6500/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.7079 (2.0121) Prec@1 52.500 (47.934) Prec@5 83.125 (78.471) Epoch: [57][6510/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.8542 (2.0120) Prec@1 48.750 (47.934) Prec@5 81.250 (78.471) Epoch: [57][6520/11272] Time 0.719 (0.794) Data 0.002 (0.002) Loss 2.0274 (2.0120) Prec@1 46.875 (47.933) Prec@5 76.875 (78.472) Epoch: [57][6530/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 1.7952 (2.0120) Prec@1 55.625 (47.933) Prec@5 81.875 (78.471) Epoch: [57][6540/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.1300 (2.0120) Prec@1 48.750 (47.933) Prec@5 76.875 (78.472) Epoch: [57][6550/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.1368 (2.0121) Prec@1 47.500 (47.932) Prec@5 78.750 (78.467) Epoch: [57][6560/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 2.0271 (2.0121) Prec@1 48.750 (47.933) Prec@5 76.250 (78.468) Epoch: [57][6570/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.8563 (2.0121) Prec@1 51.875 (47.934) Prec@5 81.250 (78.468) Epoch: [57][6580/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9506 (2.0121) Prec@1 51.250 (47.932) Prec@5 78.125 (78.466) Epoch: [57][6590/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.8010 (2.0120) Prec@1 47.500 (47.936) Prec@5 83.125 (78.469) Epoch: [57][6600/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 1.8566 (2.0119) Prec@1 52.500 (47.936) Prec@5 80.000 (78.469) Epoch: [57][6610/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 2.0147 (2.0121) Prec@1 46.250 (47.934) Prec@5 80.000 (78.465) Epoch: [57][6620/11272] Time 0.722 (0.794) Data 0.003 (0.002) Loss 1.8913 (2.0122) Prec@1 50.625 (47.934) Prec@5 81.875 (78.463) Epoch: [57][6630/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.3946 (2.0122) Prec@1 43.125 (47.934) Prec@5 72.500 (78.461) Epoch: [57][6640/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 2.1251 (2.0122) Prec@1 42.500 (47.934) Prec@5 75.000 (78.460) Epoch: [57][6650/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.9015 (2.0122) Prec@1 51.875 (47.933) Prec@5 79.375 (78.458) Epoch: [57][6660/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.9449 (2.0121) Prec@1 48.750 (47.935) Prec@5 81.250 (78.460) Epoch: [57][6670/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 1.8189 (2.0121) Prec@1 50.000 (47.935) Prec@5 76.250 (78.460) Epoch: [57][6680/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.1637 (2.0122) Prec@1 45.625 (47.931) Prec@5 71.875 (78.457) Epoch: [57][6690/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 1.7839 (2.0122) Prec@1 53.125 (47.933) Prec@5 82.500 (78.457) Epoch: [57][6700/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1117 (2.0123) Prec@1 53.125 (47.933) Prec@5 78.125 (78.454) Epoch: [57][6710/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1040 (2.0124) Prec@1 46.250 (47.933) Prec@5 78.125 (78.454) Epoch: [57][6720/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 1.7786 (2.0123) Prec@1 55.000 (47.937) Prec@5 81.250 (78.455) Epoch: [57][6730/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.9693 (2.0123) Prec@1 49.375 (47.936) Prec@5 81.250 (78.454) Epoch: [57][6740/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.0003 (2.0124) Prec@1 51.250 (47.935) Prec@5 79.375 (78.453) Epoch: [57][6750/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.8263 (2.0124) Prec@1 52.500 (47.935) Prec@5 82.500 (78.453) Epoch: [57][6760/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 1.9232 (2.0124) Prec@1 48.750 (47.935) Prec@5 79.375 (78.450) Epoch: [57][6770/11272] Time 0.724 (0.794) Data 0.002 (0.002) Loss 2.1322 (2.0125) Prec@1 45.625 (47.933) Prec@5 77.500 (78.450) Epoch: [57][6780/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.9154 (2.0125) Prec@1 50.625 (47.935) Prec@5 79.375 (78.450) Epoch: [57][6790/11272] Time 0.883 (0.794) Data 0.001 (0.002) Loss 1.9182 (2.0125) Prec@1 53.125 (47.935) Prec@5 81.875 (78.449) Epoch: [57][6800/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 1.9001 (2.0126) Prec@1 48.125 (47.934) Prec@5 76.875 (78.449) Epoch: [57][6810/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0802 (2.0126) Prec@1 43.125 (47.933) Prec@5 77.500 (78.449) Epoch: [57][6820/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.6094 (2.0126) Prec@1 56.875 (47.933) Prec@5 85.625 (78.448) Epoch: [57][6830/11272] Time 0.901 (0.794) Data 0.002 (0.002) Loss 2.2704 (2.0125) Prec@1 45.000 (47.933) Prec@5 72.500 (78.449) Epoch: [57][6840/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.1902 (2.0125) Prec@1 40.625 (47.932) Prec@5 76.250 (78.451) Epoch: [57][6850/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 2.0064 (2.0125) Prec@1 51.250 (47.934) Prec@5 79.375 (78.449) Epoch: [57][6860/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.8261 (2.0125) Prec@1 50.625 (47.933) Prec@5 80.625 (78.448) Epoch: [57][6870/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 1.9767 (2.0126) Prec@1 48.750 (47.931) Prec@5 76.250 (78.446) Epoch: [57][6880/11272] Time 0.727 (0.794) Data 0.003 (0.002) Loss 2.1666 (2.0126) Prec@1 41.875 (47.932) Prec@5 73.125 (78.446) Epoch: [57][6890/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.9871 (2.0125) Prec@1 45.625 (47.934) Prec@5 78.125 (78.448) Epoch: [57][6900/11272] Time 0.893 (0.794) Data 0.002 (0.002) Loss 2.1577 (2.0125) Prec@1 45.000 (47.936) Prec@5 71.875 (78.448) Epoch: [57][6910/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.0037 (2.0126) Prec@1 50.625 (47.937) Prec@5 78.750 (78.448) Epoch: [57][6920/11272] Time 0.718 (0.794) Data 0.002 (0.002) Loss 1.9102 (2.0125) Prec@1 44.375 (47.938) Prec@5 81.250 (78.451) Epoch: [57][6930/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.2049 (2.0126) Prec@1 45.625 (47.936) Prec@5 76.250 (78.449) Epoch: [57][6940/11272] Time 0.834 (0.794) Data 0.002 (0.002) Loss 2.0719 (2.0126) Prec@1 45.000 (47.935) Prec@5 81.250 (78.448) Epoch: [57][6950/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 2.1858 (2.0126) Prec@1 44.375 (47.935) Prec@5 73.750 (78.447) Epoch: [57][6960/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9938 (2.0126) Prec@1 50.625 (47.935) Prec@5 80.000 (78.447) Epoch: [57][6970/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.0706 (2.0126) Prec@1 48.750 (47.935) Prec@5 78.125 (78.447) Epoch: [57][6980/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 1.9667 (2.0126) Prec@1 47.500 (47.934) Prec@5 80.000 (78.446) Epoch: [57][6990/11272] Time 0.823 (0.794) Data 0.001 (0.002) Loss 1.8743 (2.0126) Prec@1 48.750 (47.935) Prec@5 81.250 (78.445) Epoch: [57][7000/11272] Time 0.768 (0.794) Data 0.002 (0.002) Loss 1.8840 (2.0125) Prec@1 50.000 (47.934) Prec@5 83.750 (78.446) Epoch: [57][7010/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 2.2295 (2.0126) Prec@1 48.125 (47.935) Prec@5 75.000 (78.444) Epoch: [57][7020/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.9940 (2.0126) Prec@1 51.250 (47.935) Prec@5 80.625 (78.444) Epoch: [57][7030/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.9750 (2.0126) Prec@1 53.125 (47.936) Prec@5 77.500 (78.443) Epoch: [57][7040/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 2.0485 (2.0126) Prec@1 50.000 (47.936) Prec@5 78.750 (78.445) Epoch: [57][7050/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 2.2019 (2.0126) Prec@1 42.500 (47.935) Prec@5 75.000 (78.445) Epoch: [57][7060/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 1.9657 (2.0127) Prec@1 46.875 (47.934) Prec@5 79.375 (78.444) Epoch: [57][7070/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 2.1835 (2.0128) Prec@1 43.125 (47.933) Prec@5 75.625 (78.441) Epoch: [57][7080/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.8528 (2.0128) Prec@1 53.750 (47.933) Prec@5 78.125 (78.441) Epoch: [57][7090/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 1.7238 (2.0128) Prec@1 53.750 (47.932) Prec@5 81.875 (78.441) Epoch: [57][7100/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 1.9946 (2.0128) Prec@1 47.500 (47.932) Prec@5 74.375 (78.441) Epoch: [57][7110/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 1.9509 (2.0129) Prec@1 45.625 (47.930) Prec@5 78.125 (78.439) Epoch: [57][7120/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.9848 (2.0130) Prec@1 46.875 (47.930) Prec@5 78.750 (78.438) Epoch: [57][7130/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.3249 (2.0130) Prec@1 41.250 (47.933) Prec@5 70.000 (78.437) Epoch: [57][7140/11272] Time 0.806 (0.794) Data 0.002 (0.002) Loss 1.7584 (2.0131) Prec@1 54.375 (47.930) Prec@5 83.750 (78.435) Epoch: [57][7150/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 2.0453 (2.0131) Prec@1 46.875 (47.928) Prec@5 80.625 (78.436) Epoch: [57][7160/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.1640 (2.0132) Prec@1 42.500 (47.927) Prec@5 76.875 (78.435) Epoch: [57][7170/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 1.9524 (2.0131) Prec@1 50.625 (47.927) Prec@5 78.125 (78.435) Epoch: [57][7180/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 2.1137 (2.0131) Prec@1 48.125 (47.927) Prec@5 78.125 (78.434) Epoch: [57][7190/11272] Time 0.745 (0.794) Data 0.001 (0.002) Loss 1.8476 (2.0132) Prec@1 53.125 (47.925) Prec@5 80.625 (78.433) Epoch: [57][7200/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 2.0588 (2.0133) Prec@1 45.000 (47.926) Prec@5 78.125 (78.432) Epoch: [57][7210/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 1.8810 (2.0133) Prec@1 47.500 (47.924) Prec@5 78.125 (78.434) Epoch: [57][7220/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.0197 (2.0133) Prec@1 48.125 (47.924) Prec@5 75.625 (78.433) Epoch: [57][7230/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 2.1077 (2.0133) Prec@1 45.625 (47.924) Prec@5 79.375 (78.434) Epoch: [57][7240/11272] Time 0.920 (0.794) Data 0.002 (0.002) Loss 2.1117 (2.0132) Prec@1 48.125 (47.926) Prec@5 76.875 (78.435) Epoch: [57][7250/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 2.0249 (2.0132) Prec@1 48.125 (47.927) Prec@5 78.750 (78.437) Epoch: [57][7260/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.9894 (2.0131) Prec@1 43.750 (47.928) Prec@5 78.125 (78.437) Epoch: [57][7270/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.7318 (2.0131) Prec@1 56.250 (47.927) Prec@5 82.500 (78.438) Epoch: [57][7280/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.9388 (2.0131) Prec@1 53.125 (47.927) Prec@5 80.625 (78.436) Epoch: [57][7290/11272] Time 0.743 (0.794) Data 0.001 (0.002) Loss 1.8957 (2.0131) Prec@1 43.750 (47.928) Prec@5 80.625 (78.437) Epoch: [57][7300/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.8981 (2.0133) Prec@1 50.000 (47.925) Prec@5 78.750 (78.435) Epoch: [57][7310/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.0295 (2.0132) Prec@1 46.250 (47.923) Prec@5 79.375 (78.438) Epoch: [57][7320/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1481 (2.0132) Prec@1 46.250 (47.925) Prec@5 74.375 (78.439) Epoch: [57][7330/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 2.0241 (2.0132) Prec@1 42.500 (47.926) Prec@5 78.125 (78.439) Epoch: [57][7340/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.9344 (2.0132) Prec@1 50.000 (47.927) Prec@5 78.750 (78.439) Epoch: [57][7350/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.8738 (2.0131) Prec@1 53.750 (47.930) Prec@5 81.250 (78.439) Epoch: [57][7360/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.1289 (2.0131) Prec@1 45.000 (47.930) Prec@5 74.375 (78.439) Epoch: [57][7370/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.0476 (2.0130) Prec@1 45.625 (47.931) Prec@5 76.250 (78.440) Epoch: [57][7380/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 1.8753 (2.0130) Prec@1 55.625 (47.934) Prec@5 77.500 (78.440) Epoch: [57][7390/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.9109 (2.0130) Prec@1 54.375 (47.935) Prec@5 80.000 (78.439) Epoch: [57][7400/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0838 (2.0133) Prec@1 48.125 (47.931) Prec@5 76.250 (78.436) Epoch: [57][7410/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 2.1116 (2.0133) Prec@1 46.250 (47.931) Prec@5 74.375 (78.436) Epoch: [57][7420/11272] Time 0.826 (0.794) Data 0.001 (0.002) Loss 1.9067 (2.0132) Prec@1 53.750 (47.933) Prec@5 80.625 (78.435) Epoch: [57][7430/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 1.9902 (2.0132) Prec@1 53.125 (47.933) Prec@5 80.625 (78.435) Epoch: [57][7440/11272] Time 0.708 (0.794) Data 0.001 (0.002) Loss 2.1277 (2.0133) Prec@1 46.250 (47.932) Prec@5 73.125 (78.434) Epoch: [57][7450/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.9908 (2.0134) Prec@1 45.625 (47.929) Prec@5 83.125 (78.435) Epoch: [57][7460/11272] Time 0.829 (0.794) Data 0.001 (0.002) Loss 1.8029 (2.0133) Prec@1 54.375 (47.930) Prec@5 84.375 (78.434) Epoch: [57][7470/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 1.9543 (2.0134) Prec@1 51.250 (47.931) Prec@5 80.625 (78.433) Epoch: [57][7480/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.0787 (2.0135) Prec@1 46.250 (47.929) Prec@5 79.375 (78.431) Epoch: [57][7490/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.8997 (2.0135) Prec@1 51.875 (47.929) Prec@5 81.250 (78.432) Epoch: [57][7500/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.2494 (2.0135) Prec@1 43.125 (47.929) Prec@5 75.625 (78.431) Epoch: [57][7510/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0265 (2.0136) Prec@1 44.375 (47.927) Prec@5 81.250 (78.429) Epoch: [57][7520/11272] Time 0.801 (0.794) Data 0.002 (0.002) Loss 2.1942 (2.0135) Prec@1 43.125 (47.928) Prec@5 75.000 (78.430) Epoch: [57][7530/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.9462 (2.0135) Prec@1 52.500 (47.929) Prec@5 75.625 (78.431) Epoch: [57][7540/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 2.4389 (2.0137) Prec@1 42.500 (47.926) Prec@5 67.500 (78.428) Epoch: [57][7550/11272] Time 0.721 (0.794) Data 0.004 (0.002) Loss 2.0521 (2.0138) Prec@1 48.750 (47.924) Prec@5 78.750 (78.425) Epoch: [57][7560/11272] Time 0.712 (0.794) Data 0.001 (0.002) Loss 2.0383 (2.0138) Prec@1 46.250 (47.926) Prec@5 78.750 (78.426) Epoch: [57][7570/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 1.8406 (2.0137) Prec@1 49.375 (47.926) Prec@5 82.500 (78.425) Epoch: [57][7580/11272] Time 0.892 (0.794) Data 0.002 (0.002) Loss 2.0828 (2.0138) Prec@1 48.750 (47.927) Prec@5 76.875 (78.425) Epoch: [57][7590/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.0042 (2.0138) Prec@1 51.250 (47.926) Prec@5 79.375 (78.424) Epoch: [57][7600/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 1.8180 (2.0138) Prec@1 50.625 (47.927) Prec@5 81.250 (78.423) Epoch: [57][7610/11272] Time 0.848 (0.794) Data 0.002 (0.002) Loss 1.9432 (2.0138) Prec@1 47.500 (47.926) Prec@5 85.000 (78.426) Epoch: [57][7620/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.8704 (2.0136) Prec@1 52.500 (47.930) Prec@5 81.250 (78.430) Epoch: [57][7630/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 1.9492 (2.0136) Prec@1 49.375 (47.932) Prec@5 77.500 (78.430) Epoch: [57][7640/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 2.3386 (2.0138) Prec@1 41.250 (47.928) Prec@5 69.375 (78.426) Epoch: [57][7650/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.9790 (2.0138) Prec@1 41.250 (47.926) Prec@5 78.750 (78.424) Epoch: [57][7660/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 2.0322 (2.0138) Prec@1 43.125 (47.927) Prec@5 77.500 (78.424) Epoch: [57][7670/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.9528 (2.0138) Prec@1 51.875 (47.928) Prec@5 78.750 (78.426) Epoch: [57][7680/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.9838 (2.0137) Prec@1 49.375 (47.930) Prec@5 78.750 (78.428) Epoch: [57][7690/11272] Time 0.881 (0.794) Data 0.002 (0.002) Loss 2.1599 (2.0137) Prec@1 47.500 (47.929) Prec@5 73.125 (78.425) Epoch: [57][7700/11272] Time 0.756 (0.794) Data 0.001 (0.002) Loss 2.1531 (2.0138) Prec@1 46.250 (47.926) Prec@5 75.625 (78.424) Epoch: [57][7710/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.1326 (2.0137) Prec@1 44.375 (47.928) Prec@5 73.125 (78.424) Epoch: [57][7720/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9184 (2.0137) Prec@1 50.000 (47.929) Prec@5 80.625 (78.423) Epoch: [57][7730/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.8992 (2.0137) Prec@1 52.500 (47.930) Prec@5 78.750 (78.423) Epoch: [57][7740/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.8505 (2.0138) Prec@1 48.125 (47.925) Prec@5 80.000 (78.422) Epoch: [57][7750/11272] Time 0.706 (0.794) Data 0.001 (0.002) Loss 1.9855 (2.0138) Prec@1 48.750 (47.925) Prec@5 80.625 (78.423) Epoch: [57][7760/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0956 (2.0138) Prec@1 45.625 (47.924) Prec@5 75.625 (78.422) Epoch: [57][7770/11272] Time 0.901 (0.794) Data 0.002 (0.002) Loss 2.1094 (2.0138) Prec@1 46.875 (47.923) Prec@5 80.625 (78.423) Epoch: [57][7780/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 2.0475 (2.0139) Prec@1 46.250 (47.921) Prec@5 76.250 (78.421) Epoch: [57][7790/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 1.8670 (2.0139) Prec@1 50.000 (47.919) Prec@5 80.625 (78.420) Epoch: [57][7800/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.7967 (2.0138) Prec@1 46.875 (47.919) Prec@5 83.125 (78.422) Epoch: [57][7810/11272] Time 0.726 (0.794) Data 0.003 (0.002) Loss 2.0389 (2.0137) Prec@1 46.875 (47.921) Prec@5 75.625 (78.423) Epoch: [57][7820/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0597 (2.0136) Prec@1 48.125 (47.924) Prec@5 76.250 (78.425) Epoch: [57][7830/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.0391 (2.0136) Prec@1 48.750 (47.927) Prec@5 75.625 (78.425) Epoch: [57][7840/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 2.1688 (2.0136) Prec@1 46.250 (47.925) Prec@5 76.875 (78.424) Epoch: [57][7850/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.1978 (2.0136) Prec@1 46.250 (47.925) Prec@5 74.375 (78.422) Epoch: [57][7860/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.0864 (2.0137) Prec@1 45.625 (47.922) Prec@5 75.625 (78.421) Epoch: [57][7870/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 2.1611 (2.0137) Prec@1 42.500 (47.922) Prec@5 73.125 (78.423) Epoch: [57][7880/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 2.0535 (2.0137) Prec@1 47.500 (47.922) Prec@5 75.000 (78.422) Epoch: [57][7890/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.8016 (2.0136) Prec@1 50.625 (47.921) Prec@5 82.500 (78.425) Epoch: [57][7900/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.9795 (2.0136) Prec@1 46.875 (47.919) Prec@5 80.000 (78.425) Epoch: [57][7910/11272] Time 0.862 (0.794) Data 0.002 (0.002) Loss 1.8758 (2.0134) Prec@1 51.875 (47.922) Prec@5 78.750 (78.428) Epoch: [57][7920/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 1.8787 (2.0134) Prec@1 49.375 (47.922) Prec@5 82.500 (78.427) Epoch: [57][7930/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.0319 (2.0133) Prec@1 46.250 (47.923) Prec@5 79.375 (78.429) Epoch: [57][7940/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.0327 (2.0133) Prec@1 45.625 (47.923) Prec@5 78.750 (78.429) Epoch: [57][7950/11272] Time 0.900 (0.794) Data 0.002 (0.002) Loss 2.1324 (2.0133) Prec@1 46.875 (47.921) Prec@5 75.000 (78.427) Epoch: [57][7960/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 2.0763 (2.0135) Prec@1 46.250 (47.918) Prec@5 76.250 (78.426) Epoch: [57][7970/11272] Time 0.761 (0.794) Data 0.001 (0.002) Loss 2.0727 (2.0136) Prec@1 48.125 (47.915) Prec@5 74.375 (78.423) Epoch: [57][7980/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.8244 (2.0135) Prec@1 51.250 (47.917) Prec@5 81.250 (78.425) Epoch: [57][7990/11272] Time 0.837 (0.794) Data 0.002 (0.002) Loss 1.8135 (2.0135) Prec@1 47.500 (47.916) Prec@5 84.375 (78.425) Epoch: [57][8000/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9334 (2.0135) Prec@1 45.000 (47.913) Prec@5 86.250 (78.427) Epoch: [57][8010/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.0425 (2.0135) Prec@1 44.375 (47.912) Prec@5 74.375 (78.425) Epoch: [57][8020/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.8757 (2.0135) Prec@1 46.875 (47.912) Prec@5 80.000 (78.423) Epoch: [57][8030/11272] Time 0.893 (0.794) Data 0.002 (0.002) Loss 2.0363 (2.0136) Prec@1 45.000 (47.911) Prec@5 80.000 (78.420) Epoch: [57][8040/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.9985 (2.0136) Prec@1 44.375 (47.912) Prec@5 77.500 (78.420) Epoch: [57][8050/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.8020 (2.0135) Prec@1 51.250 (47.912) Prec@5 83.750 (78.422) Epoch: [57][8060/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 1.9863 (2.0136) Prec@1 45.000 (47.910) Prec@5 78.750 (78.421) Epoch: [57][8070/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 2.0249 (2.0135) Prec@1 53.125 (47.912) Prec@5 76.250 (78.422) Epoch: [57][8080/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.1667 (2.0136) Prec@1 40.625 (47.910) Prec@5 75.000 (78.422) Epoch: [57][8090/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 1.9181 (2.0136) Prec@1 48.750 (47.910) Prec@5 81.250 (78.421) Epoch: [57][8100/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.3105 (2.0137) Prec@1 43.125 (47.907) Prec@5 73.125 (78.421) Epoch: [57][8110/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.9728 (2.0138) Prec@1 45.625 (47.903) Prec@5 79.375 (78.420) Epoch: [57][8120/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1424 (2.0137) Prec@1 48.750 (47.907) Prec@5 75.000 (78.420) Epoch: [57][8130/11272] Time 0.881 (0.794) Data 0.002 (0.002) Loss 2.0259 (2.0137) Prec@1 45.625 (47.909) Prec@5 81.875 (78.420) Epoch: [57][8140/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.7498 (2.0137) Prec@1 58.125 (47.909) Prec@5 79.375 (78.420) Epoch: [57][8150/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 2.0598 (2.0137) Prec@1 45.000 (47.908) Prec@5 78.125 (78.420) Epoch: [57][8160/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.9523 (2.0137) Prec@1 51.875 (47.906) Prec@5 80.000 (78.418) Epoch: [57][8170/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.9498 (2.0137) Prec@1 46.875 (47.907) Prec@5 81.250 (78.418) Epoch: [57][8180/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.6823 (2.0136) Prec@1 59.375 (47.909) Prec@5 83.750 (78.419) Epoch: [57][8190/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1041 (2.0137) Prec@1 46.250 (47.909) Prec@5 77.500 (78.418) Epoch: [57][8200/11272] Time 0.810 (0.794) Data 0.002 (0.002) Loss 1.9985 (2.0137) Prec@1 49.375 (47.909) Prec@5 78.750 (78.415) Epoch: [57][8210/11272] Time 0.821 (0.794) Data 0.001 (0.002) Loss 2.0588 (2.0138) Prec@1 51.250 (47.907) Prec@5 76.250 (78.414) Epoch: [57][8220/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.9350 (2.0138) Prec@1 49.375 (47.906) Prec@5 84.375 (78.415) Epoch: [57][8230/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.0567 (2.0139) Prec@1 48.125 (47.905) Prec@5 76.875 (78.414) Epoch: [57][8240/11272] Time 0.855 (0.794) Data 0.001 (0.002) Loss 1.9269 (2.0138) Prec@1 48.750 (47.907) Prec@5 81.875 (78.414) Epoch: [57][8250/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 2.0136 (2.0138) Prec@1 49.375 (47.907) Prec@5 78.750 (78.415) Epoch: [57][8260/11272] Time 0.716 (0.794) Data 0.002 (0.002) Loss 1.8191 (2.0138) Prec@1 48.125 (47.907) Prec@5 82.500 (78.414) Epoch: [57][8270/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 2.0462 (2.0138) Prec@1 44.375 (47.907) Prec@5 76.875 (78.412) Epoch: [57][8280/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.2919 (2.0137) Prec@1 44.375 (47.908) Prec@5 73.125 (78.413) Epoch: [57][8290/11272] Time 0.835 (0.794) Data 0.002 (0.002) Loss 2.0408 (2.0137) Prec@1 50.625 (47.907) Prec@5 78.125 (78.413) Epoch: [57][8300/11272] Time 0.809 (0.794) Data 0.002 (0.002) Loss 2.2059 (2.0137) Prec@1 43.125 (47.908) Prec@5 78.125 (78.414) Epoch: [57][8310/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0400 (2.0137) Prec@1 45.000 (47.909) Prec@5 78.750 (78.413) Epoch: [57][8320/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0929 (2.0137) Prec@1 48.750 (47.910) Prec@5 72.500 (78.413) Epoch: [57][8330/11272] Time 0.906 (0.794) Data 0.001 (0.002) Loss 1.5945 (2.0137) Prec@1 55.625 (47.910) Prec@5 86.250 (78.412) Epoch: [57][8340/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.2404 (2.0137) Prec@1 46.250 (47.909) Prec@5 70.625 (78.411) Epoch: [57][8350/11272] Time 0.772 (0.794) Data 0.001 (0.002) Loss 2.3419 (2.0137) Prec@1 40.625 (47.911) Prec@5 74.375 (78.412) Epoch: [57][8360/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 2.1768 (2.0137) Prec@1 44.375 (47.910) Prec@5 76.250 (78.412) Epoch: [57][8370/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 2.0376 (2.0138) Prec@1 50.625 (47.909) Prec@5 78.125 (78.411) Epoch: [57][8380/11272] Time 0.754 (0.794) Data 0.002 (0.002) Loss 2.1578 (2.0138) Prec@1 40.625 (47.908) Prec@5 76.250 (78.412) Epoch: [57][8390/11272] Time 0.865 (0.794) Data 0.002 (0.002) Loss 2.0453 (2.0138) Prec@1 48.750 (47.908) Prec@5 75.000 (78.412) Epoch: [57][8400/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 2.0530 (2.0138) Prec@1 46.875 (47.909) Prec@5 76.250 (78.413) Epoch: [57][8410/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 1.7590 (2.0137) Prec@1 53.125 (47.911) Prec@5 81.875 (78.415) Epoch: [57][8420/11272] Time 0.762 (0.794) Data 0.002 (0.002) Loss 2.0244 (2.0137) Prec@1 48.750 (47.909) Prec@5 78.750 (78.416) Epoch: [57][8430/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.0869 (2.0137) Prec@1 45.000 (47.910) Prec@5 76.875 (78.415) Epoch: [57][8440/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.0291 (2.0137) Prec@1 46.250 (47.911) Prec@5 76.875 (78.416) Epoch: [57][8450/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 1.8131 (2.0137) Prec@1 48.750 (47.910) Prec@5 84.375 (78.416) Epoch: [57][8460/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.1421 (2.0137) Prec@1 47.500 (47.909) Prec@5 78.125 (78.416) Epoch: [57][8470/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 2.0986 (2.0138) Prec@1 46.250 (47.908) Prec@5 78.125 (78.414) Epoch: [57][8480/11272] Time 0.728 (0.794) Data 0.001 (0.002) Loss 1.9955 (2.0138) Prec@1 49.375 (47.908) Prec@5 77.500 (78.415) Epoch: [57][8490/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9630 (2.0137) Prec@1 48.750 (47.909) Prec@5 80.625 (78.417) Epoch: [57][8500/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.0682 (2.0139) Prec@1 46.250 (47.908) Prec@5 76.875 (78.415) Epoch: [57][8510/11272] Time 0.904 (0.794) Data 0.002 (0.002) Loss 2.2793 (2.0139) Prec@1 38.750 (47.908) Prec@5 76.250 (78.414) Epoch: [57][8520/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 2.1819 (2.0139) Prec@1 44.375 (47.907) Prec@5 78.750 (78.414) Epoch: [57][8530/11272] Time 0.774 (0.794) Data 0.002 (0.002) Loss 2.0108 (2.0140) Prec@1 43.750 (47.907) Prec@5 81.250 (78.413) Epoch: [57][8540/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0682 (2.0140) Prec@1 44.375 (47.906) Prec@5 77.500 (78.412) Epoch: [57][8550/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.9244 (2.0140) Prec@1 50.000 (47.909) Prec@5 80.000 (78.410) Epoch: [57][8560/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.1340 (2.0140) Prec@1 47.500 (47.909) Prec@5 78.125 (78.411) Epoch: [57][8570/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.7941 (2.0140) Prec@1 53.750 (47.911) Prec@5 85.000 (78.412) Epoch: [57][8580/11272] Time 0.891 (0.794) Data 0.002 (0.002) Loss 1.9582 (2.0140) Prec@1 48.750 (47.910) Prec@5 80.625 (78.411) Epoch: [57][8590/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 2.3546 (2.0140) Prec@1 42.500 (47.911) Prec@5 73.750 (78.412) Epoch: [57][8600/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.9453 (2.0141) Prec@1 44.375 (47.907) Prec@5 80.000 (78.411) Epoch: [57][8610/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 1.7457 (2.0140) Prec@1 53.125 (47.909) Prec@5 85.625 (78.412) Epoch: [57][8620/11272] Time 0.898 (0.794) Data 0.002 (0.002) Loss 2.1312 (2.0140) Prec@1 46.875 (47.910) Prec@5 75.625 (78.412) Epoch: [57][8630/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.9433 (2.0139) Prec@1 50.000 (47.911) Prec@5 77.500 (78.412) Epoch: [57][8640/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 2.0349 (2.0140) Prec@1 46.875 (47.911) Prec@5 78.125 (78.411) Epoch: [57][8650/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 1.6656 (2.0139) Prec@1 58.125 (47.915) Prec@5 88.125 (78.412) Epoch: [57][8660/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.1631 (2.0140) Prec@1 45.000 (47.912) Prec@5 74.375 (78.410) Epoch: [57][8670/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.7902 (2.0140) Prec@1 48.750 (47.913) Prec@5 82.500 (78.409) Epoch: [57][8680/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0288 (2.0139) Prec@1 50.625 (47.915) Prec@5 78.125 (78.410) Epoch: [57][8690/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 1.9162 (2.0140) Prec@1 47.500 (47.915) Prec@5 79.375 (78.409) Epoch: [57][8700/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9748 (2.0140) Prec@1 48.125 (47.916) Prec@5 79.375 (78.408) Epoch: [57][8710/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.9990 (2.0140) Prec@1 47.500 (47.915) Prec@5 78.750 (78.407) Epoch: [57][8720/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.5946 (2.0140) Prec@1 60.000 (47.917) Prec@5 81.250 (78.407) Epoch: [57][8730/11272] Time 0.884 (0.794) Data 0.002 (0.002) Loss 2.1281 (2.0141) Prec@1 48.750 (47.916) Prec@5 80.625 (78.406) Epoch: [57][8740/11272] Time 0.751 (0.794) Data 0.003 (0.002) Loss 2.1354 (2.0141) Prec@1 43.750 (47.917) Prec@5 75.625 (78.404) Epoch: [57][8750/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9741 (2.0141) Prec@1 51.250 (47.916) Prec@5 78.750 (78.403) Epoch: [57][8760/11272] Time 0.819 (0.794) Data 0.002 (0.002) Loss 2.0701 (2.0142) Prec@1 50.625 (47.916) Prec@5 76.875 (78.402) Epoch: [57][8770/11272] Time 0.849 (0.794) Data 0.002 (0.002) Loss 1.9475 (2.0142) Prec@1 51.875 (47.917) Prec@5 83.125 (78.402) Epoch: [57][8780/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 2.0752 (2.0142) Prec@1 49.375 (47.918) Prec@5 78.125 (78.404) Epoch: [57][8790/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.0588 (2.0142) Prec@1 48.750 (47.916) Prec@5 76.875 (78.404) Epoch: [57][8800/11272] Time 0.890 (0.794) Data 0.002 (0.002) Loss 1.9913 (2.0143) Prec@1 48.125 (47.914) Prec@5 78.125 (78.403) Epoch: [57][8810/11272] Time 0.809 (0.794) Data 0.001 (0.002) Loss 2.1189 (2.0143) Prec@1 42.500 (47.913) Prec@5 74.375 (78.403) Epoch: [57][8820/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 2.0172 (2.0143) Prec@1 45.000 (47.913) Prec@5 79.375 (78.404) Epoch: [57][8830/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 2.1400 (2.0144) Prec@1 41.875 (47.911) Prec@5 75.000 (78.403) Epoch: [57][8840/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 1.8683 (2.0145) Prec@1 44.375 (47.908) Prec@5 80.625 (78.401) Epoch: [57][8850/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 1.8675 (2.0146) Prec@1 46.875 (47.907) Prec@5 81.250 (78.402) Epoch: [57][8860/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.7900 (2.0146) Prec@1 60.000 (47.908) Prec@5 82.500 (78.402) Epoch: [57][8870/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.1275 (2.0146) Prec@1 48.125 (47.908) Prec@5 75.625 (78.402) Epoch: [57][8880/11272] Time 0.882 (0.794) Data 0.001 (0.002) Loss 1.8819 (2.0148) Prec@1 47.500 (47.905) Prec@5 82.500 (78.398) Epoch: [57][8890/11272] Time 0.805 (0.794) Data 0.001 (0.002) Loss 2.1291 (2.0149) Prec@1 43.750 (47.902) Prec@5 75.625 (78.396) Epoch: [57][8900/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.2638 (2.0149) Prec@1 42.500 (47.899) Prec@5 75.000 (78.395) Epoch: [57][8910/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.8615 (2.0149) Prec@1 50.625 (47.899) Prec@5 81.875 (78.393) Epoch: [57][8920/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.9921 (2.0149) Prec@1 47.500 (47.899) Prec@5 78.125 (78.392) Epoch: [57][8930/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.1861 (2.0149) Prec@1 45.625 (47.900) Prec@5 78.750 (78.393) Epoch: [57][8940/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8741 (2.0149) Prec@1 51.875 (47.900) Prec@5 80.000 (78.393) Epoch: [57][8950/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.9459 (2.0148) Prec@1 48.750 (47.903) Prec@5 76.875 (78.394) Epoch: [57][8960/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 2.1225 (2.0148) Prec@1 50.625 (47.903) Prec@5 74.375 (78.393) Epoch: [57][8970/11272] Time 0.737 (0.794) Data 0.001 (0.002) Loss 1.8409 (2.0149) Prec@1 49.375 (47.902) Prec@5 82.500 (78.390) Epoch: [57][8980/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.9856 (2.0150) Prec@1 46.250 (47.900) Prec@5 76.250 (78.389) Epoch: [57][8990/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9736 (2.0150) Prec@1 50.000 (47.899) Prec@5 77.500 (78.387) Epoch: [57][9000/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 2.1301 (2.0151) Prec@1 43.750 (47.896) Prec@5 78.125 (78.387) Epoch: [57][9010/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.8846 (2.0151) Prec@1 48.125 (47.897) Prec@5 81.875 (78.388) Epoch: [57][9020/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 2.0470 (2.0151) Prec@1 46.875 (47.899) Prec@5 73.750 (78.388) Epoch: [57][9030/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 1.9953 (2.0150) Prec@1 45.625 (47.899) Prec@5 78.125 (78.388) Epoch: [57][9040/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 2.0504 (2.0151) Prec@1 48.125 (47.898) Prec@5 75.000 (78.387) Epoch: [57][9050/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.4302 (2.0152) Prec@1 40.000 (47.895) Prec@5 70.000 (78.383) Epoch: [57][9060/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.0238 (2.0152) Prec@1 48.750 (47.896) Prec@5 79.375 (78.385) Epoch: [57][9070/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.0374 (2.0152) Prec@1 51.250 (47.894) Prec@5 75.000 (78.383) Epoch: [57][9080/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.8947 (2.0152) Prec@1 48.125 (47.895) Prec@5 83.125 (78.384) Epoch: [57][9090/11272] Time 0.750 (0.794) Data 0.002 (0.002) Loss 2.0830 (2.0153) Prec@1 45.000 (47.892) Prec@5 75.625 (78.384) Epoch: [57][9100/11272] Time 0.989 (0.794) Data 0.002 (0.002) Loss 2.1563 (2.0153) Prec@1 45.000 (47.893) Prec@5 75.000 (78.384) Epoch: [57][9110/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.8108 (2.0152) Prec@1 50.625 (47.894) Prec@5 81.875 (78.386) Epoch: [57][9120/11272] Time 0.719 (0.794) Data 0.002 (0.002) Loss 2.4734 (2.0154) Prec@1 40.000 (47.891) Prec@5 70.000 (78.384) Epoch: [57][9130/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.0500 (2.0154) Prec@1 51.875 (47.893) Prec@5 76.875 (78.383) Epoch: [57][9140/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 2.0881 (2.0155) Prec@1 42.500 (47.893) Prec@5 78.125 (78.381) Epoch: [57][9150/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.2313 (2.0155) Prec@1 42.500 (47.892) Prec@5 75.625 (78.382) Epoch: [57][9160/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.7537 (2.0155) Prec@1 55.000 (47.892) Prec@5 82.500 (78.384) Epoch: [57][9170/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 1.8802 (2.0154) Prec@1 47.500 (47.894) Prec@5 83.125 (78.385) Epoch: [57][9180/11272] Time 0.809 (0.794) Data 0.002 (0.002) Loss 2.0449 (2.0154) Prec@1 54.375 (47.894) Prec@5 75.000 (78.384) Epoch: [57][9190/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 2.2191 (2.0155) Prec@1 38.750 (47.891) Prec@5 75.000 (78.383) Epoch: [57][9200/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 1.8245 (2.0155) Prec@1 45.625 (47.892) Prec@5 81.875 (78.384) Epoch: [57][9210/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 1.7343 (2.0155) Prec@1 50.625 (47.892) Prec@5 85.000 (78.385) Epoch: [57][9220/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.1468 (2.0155) Prec@1 41.875 (47.891) Prec@5 75.625 (78.384) Epoch: [57][9230/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.2132 (2.0155) Prec@1 45.625 (47.894) Prec@5 75.000 (78.385) Epoch: [57][9240/11272] Time 0.716 (0.794) Data 0.001 (0.002) Loss 2.2714 (2.0155) Prec@1 44.375 (47.893) Prec@5 75.000 (78.385) Epoch: [57][9250/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.1294 (2.0155) Prec@1 51.250 (47.895) Prec@5 75.000 (78.385) Epoch: [57][9260/11272] Time 0.869 (0.794) Data 0.001 (0.002) Loss 2.1740 (2.0155) Prec@1 46.875 (47.896) Prec@5 73.125 (78.385) Epoch: [57][9270/11272] Time 0.764 (0.794) Data 0.001 (0.002) Loss 2.0188 (2.0155) Prec@1 47.500 (47.895) Prec@5 72.500 (78.384) Epoch: [57][9280/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 2.1656 (2.0155) Prec@1 43.125 (47.894) Prec@5 73.125 (78.385) Epoch: [57][9290/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.1009 (2.0155) Prec@1 46.875 (47.893) Prec@5 75.000 (78.384) Epoch: [57][9300/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.9826 (2.0156) Prec@1 49.375 (47.894) Prec@5 74.375 (78.383) Epoch: [57][9310/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 2.1580 (2.0156) Prec@1 46.250 (47.893) Prec@5 74.375 (78.381) Epoch: [57][9320/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.2028 (2.0157) Prec@1 44.375 (47.891) Prec@5 79.375 (78.380) Epoch: [57][9330/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 1.9067 (2.0157) Prec@1 50.625 (47.891) Prec@5 81.250 (78.381) Epoch: [57][9340/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 2.0392 (2.0157) Prec@1 44.375 (47.890) Prec@5 75.625 (78.380) Epoch: [57][9350/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.0415 (2.0157) Prec@1 48.125 (47.889) Prec@5 76.875 (78.381) Epoch: [57][9360/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.2234 (2.0158) Prec@1 40.625 (47.889) Prec@5 75.000 (78.378) Epoch: [57][9370/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 2.0454 (2.0158) Prec@1 48.750 (47.888) Prec@5 80.000 (78.376) Epoch: [57][9380/11272] Time 0.780 (0.794) Data 0.002 (0.002) Loss 1.9940 (2.0159) Prec@1 48.750 (47.887) Prec@5 79.375 (78.375) Epoch: [57][9390/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.9083 (2.0158) Prec@1 50.625 (47.888) Prec@5 83.125 (78.377) Epoch: [57][9400/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 2.0694 (2.0158) Prec@1 48.750 (47.888) Prec@5 76.875 (78.375) Epoch: [57][9410/11272] Time 0.732 (0.794) Data 0.003 (0.002) Loss 1.9739 (2.0158) Prec@1 45.000 (47.887) Prec@5 78.750 (78.374) Epoch: [57][9420/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9559 (2.0158) Prec@1 45.625 (47.887) Prec@5 76.250 (78.374) Epoch: [57][9430/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 1.9967 (2.0159) Prec@1 45.625 (47.886) Prec@5 80.000 (78.374) Epoch: [57][9440/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.8993 (2.0158) Prec@1 53.125 (47.889) Prec@5 80.625 (78.375) Epoch: [57][9450/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0120 (2.0159) Prec@1 47.500 (47.887) Prec@5 78.750 (78.374) Epoch: [57][9460/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 2.0928 (2.0159) Prec@1 50.000 (47.886) Prec@5 76.250 (78.373) Epoch: [57][9470/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.7718 (2.0159) Prec@1 50.625 (47.885) Prec@5 80.625 (78.373) Epoch: [57][9480/11272] Time 0.846 (0.794) Data 0.001 (0.002) Loss 1.8591 (2.0160) Prec@1 51.875 (47.885) Prec@5 82.500 (78.372) Epoch: [57][9490/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 2.2433 (2.0161) Prec@1 44.375 (47.883) Prec@5 75.000 (78.371) Epoch: [57][9500/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.0660 (2.0161) Prec@1 46.250 (47.880) Prec@5 77.500 (78.369) Epoch: [57][9510/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 1.8757 (2.0161) Prec@1 50.000 (47.882) Prec@5 83.125 (78.370) Epoch: [57][9520/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.9431 (2.0161) Prec@1 46.250 (47.882) Prec@5 80.000 (78.370) Epoch: [57][9530/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9509 (2.0162) Prec@1 53.125 (47.882) Prec@5 77.500 (78.367) Epoch: [57][9540/11272] Time 0.829 (0.794) Data 0.002 (0.002) Loss 2.2073 (2.0162) Prec@1 46.250 (47.883) Prec@5 76.250 (78.367) Epoch: [57][9550/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.9868 (2.0161) Prec@1 46.250 (47.883) Prec@5 76.875 (78.367) Epoch: [57][9560/11272] Time 0.792 (0.794) Data 0.002 (0.002) Loss 2.0470 (2.0161) Prec@1 48.750 (47.885) Prec@5 75.000 (78.367) Epoch: [57][9570/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 1.9154 (2.0162) Prec@1 51.875 (47.883) Prec@5 78.125 (78.365) Epoch: [57][9580/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 2.1620 (2.0162) Prec@1 45.000 (47.883) Prec@5 75.625 (78.365) Epoch: [57][9590/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 2.2753 (2.0162) Prec@1 43.125 (47.883) Prec@5 76.875 (78.364) Epoch: [57][9600/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.9636 (2.0161) Prec@1 50.000 (47.883) Prec@5 81.875 (78.366) Epoch: [57][9610/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.0718 (2.0162) Prec@1 50.000 (47.883) Prec@5 76.875 (78.365) Epoch: [57][9620/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 1.8607 (2.0161) Prec@1 52.500 (47.884) Prec@5 81.875 (78.365) Epoch: [57][9630/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 2.1136 (2.0162) Prec@1 45.625 (47.884) Prec@5 77.500 (78.365) Epoch: [57][9640/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 2.0722 (2.0162) Prec@1 47.500 (47.882) Prec@5 79.375 (78.364) Epoch: [57][9650/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 1.9552 (2.0162) Prec@1 49.375 (47.883) Prec@5 81.250 (78.365) Epoch: [57][9660/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0342 (2.0161) Prec@1 46.875 (47.883) Prec@5 78.125 (78.366) Epoch: [57][9670/11272] Time 0.722 (0.794) Data 0.003 (0.002) Loss 2.0279 (2.0161) Prec@1 46.875 (47.883) Prec@5 78.750 (78.366) Epoch: [57][9680/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.9618 (2.0161) Prec@1 48.125 (47.883) Prec@5 76.250 (78.364) Epoch: [57][9690/11272] Time 0.854 (0.794) Data 0.002 (0.002) Loss 2.0811 (2.0162) Prec@1 49.375 (47.882) Prec@5 77.500 (78.363) Epoch: [57][9700/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 1.9342 (2.0162) Prec@1 44.375 (47.881) Prec@5 78.750 (78.362) Epoch: [57][9710/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.1769 (2.0161) Prec@1 43.750 (47.881) Prec@5 76.875 (78.364) Epoch: [57][9720/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.8854 (2.0161) Prec@1 43.750 (47.881) Prec@5 80.625 (78.365) Epoch: [57][9730/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.8948 (2.0162) Prec@1 54.375 (47.882) Prec@5 82.500 (78.364) Epoch: [57][9740/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 2.1727 (2.0161) Prec@1 41.250 (47.883) Prec@5 75.625 (78.365) Epoch: [57][9750/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0771 (2.0161) Prec@1 45.000 (47.884) Prec@5 76.875 (78.364) Epoch: [57][9760/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.9721 (2.0161) Prec@1 46.875 (47.883) Prec@5 77.500 (78.362) Epoch: [57][9770/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 1.9805 (2.0161) Prec@1 47.500 (47.883) Prec@5 80.000 (78.363) Epoch: [57][9780/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 2.2371 (2.0162) Prec@1 37.500 (47.881) Prec@5 76.250 (78.361) Epoch: [57][9790/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 1.9969 (2.0162) Prec@1 45.625 (47.879) Prec@5 80.000 (78.360) Epoch: [57][9800/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.8714 (2.0162) Prec@1 51.250 (47.878) Prec@5 81.250 (78.360) Epoch: [57][9810/11272] Time 0.844 (0.794) Data 0.001 (0.002) Loss 1.9082 (2.0163) Prec@1 48.750 (47.877) Prec@5 80.625 (78.360) Epoch: [57][9820/11272] Time 0.726 (0.794) Data 0.001 (0.002) Loss 1.9817 (2.0164) Prec@1 48.750 (47.875) Prec@5 81.250 (78.360) Epoch: [57][9830/11272] Time 0.772 (0.794) Data 0.002 (0.002) Loss 1.9667 (2.0164) Prec@1 50.000 (47.874) Prec@5 74.375 (78.358) Epoch: [57][9840/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.9141 (2.0164) Prec@1 52.500 (47.875) Prec@5 79.375 (78.358) Epoch: [57][9850/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.9407 (2.0163) Prec@1 60.000 (47.877) Prec@5 78.750 (78.359) Epoch: [57][9860/11272] Time 0.748 (0.794) Data 0.001 (0.002) Loss 1.9287 (2.0164) Prec@1 46.250 (47.877) Prec@5 83.125 (78.360) Epoch: [57][9870/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.9519 (2.0164) Prec@1 51.250 (47.877) Prec@5 75.625 (78.360) Epoch: [57][9880/11272] Time 0.889 (0.794) Data 0.002 (0.002) Loss 2.0577 (2.0164) Prec@1 50.000 (47.877) Prec@5 74.375 (78.358) Epoch: [57][9890/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 2.3740 (2.0165) Prec@1 35.000 (47.876) Prec@5 71.875 (78.358) Epoch: [57][9900/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 2.2831 (2.0165) Prec@1 39.375 (47.876) Prec@5 78.750 (78.357) Epoch: [57][9910/11272] Time 0.703 (0.794) Data 0.001 (0.002) Loss 1.8682 (2.0166) Prec@1 48.750 (47.873) Prec@5 81.250 (78.356) Epoch: [57][9920/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.9166 (2.0165) Prec@1 52.500 (47.875) Prec@5 80.625 (78.356) Epoch: [57][9930/11272] Time 0.845 (0.794) Data 0.002 (0.002) Loss 2.1547 (2.0165) Prec@1 43.750 (47.876) Prec@5 77.500 (78.356) Epoch: [57][9940/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.0233 (2.0165) Prec@1 43.125 (47.875) Prec@5 80.000 (78.356) Epoch: [57][9950/11272] Time 0.818 (0.794) Data 0.002 (0.002) Loss 2.0707 (2.0165) Prec@1 47.500 (47.875) Prec@5 76.875 (78.357) Epoch: [57][9960/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 2.1592 (2.0165) Prec@1 49.375 (47.876) Prec@5 76.250 (78.356) Epoch: [57][9970/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 2.1220 (2.0165) Prec@1 45.000 (47.878) Prec@5 73.125 (78.355) Epoch: [57][9980/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 2.0374 (2.0165) Prec@1 45.000 (47.878) Prec@5 78.750 (78.355) Epoch: [57][9990/11272] Time 0.825 (0.794) Data 0.001 (0.002) Loss 1.8923 (2.0165) Prec@1 53.750 (47.879) Prec@5 81.875 (78.355) Epoch: [57][10000/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.6776 (2.0164) Prec@1 50.000 (47.880) Prec@5 86.875 (78.355) Epoch: [57][10010/11272] Time 0.719 (0.794) Data 0.002 (0.002) Loss 1.9561 (2.0164) Prec@1 46.250 (47.881) Prec@5 79.375 (78.355) Epoch: [57][10020/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.2131 (2.0165) Prec@1 41.875 (47.879) Prec@5 75.000 (78.355) Epoch: [57][10030/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.7736 (2.0164) Prec@1 52.500 (47.881) Prec@5 81.875 (78.357) Epoch: [57][10040/11272] Time 0.885 (0.794) Data 0.002 (0.002) Loss 1.9659 (2.0164) Prec@1 48.125 (47.879) Prec@5 81.250 (78.357) Epoch: [57][10050/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.2505 (2.0165) Prec@1 43.125 (47.878) Prec@5 71.875 (78.357) Epoch: [57][10060/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 1.8616 (2.0164) Prec@1 50.000 (47.878) Prec@5 81.250 (78.358) Epoch: [57][10070/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 2.3026 (2.0165) Prec@1 42.500 (47.878) Prec@5 72.500 (78.355) Epoch: [57][10080/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 2.1431 (2.0165) Prec@1 46.875 (47.879) Prec@5 74.375 (78.355) Epoch: [57][10090/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 2.1506 (2.0165) Prec@1 46.875 (47.878) Prec@5 72.500 (78.356) Epoch: [57][10100/11272] Time 0.849 (0.794) Data 0.002 (0.002) Loss 1.9327 (2.0165) Prec@1 55.000 (47.880) Prec@5 78.125 (78.356) Epoch: [57][10110/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 2.1892 (2.0164) Prec@1 44.375 (47.880) Prec@5 75.625 (78.355) Epoch: [57][10120/11272] Time 0.789 (0.794) Data 0.002 (0.002) Loss 2.0819 (2.0165) Prec@1 50.625 (47.880) Prec@5 76.875 (78.354) Epoch: [57][10130/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 2.1218 (2.0165) Prec@1 43.125 (47.879) Prec@5 77.500 (78.355) Epoch: [57][10140/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 2.2436 (2.0164) Prec@1 41.875 (47.880) Prec@5 73.125 (78.355) Epoch: [57][10150/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 1.8468 (2.0165) Prec@1 50.625 (47.879) Prec@5 80.625 (78.356) Epoch: [57][10160/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 1.9110 (2.0165) Prec@1 47.500 (47.878) Prec@5 80.625 (78.356) Epoch: [57][10170/11272] Time 0.732 (0.794) Data 0.002 (0.002) Loss 2.0498 (2.0165) Prec@1 52.500 (47.879) Prec@5 73.125 (78.355) Epoch: [57][10180/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 2.0642 (2.0165) Prec@1 44.375 (47.879) Prec@5 81.250 (78.357) Epoch: [57][10190/11272] Time 0.901 (0.794) Data 0.002 (0.002) Loss 2.3436 (2.0165) Prec@1 39.375 (47.877) Prec@5 68.125 (78.356) Epoch: [57][10200/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.1829 (2.0166) Prec@1 46.875 (47.877) Prec@5 76.875 (78.356) Epoch: [57][10210/11272] Time 0.899 (0.794) Data 0.001 (0.002) Loss 1.9829 (2.0165) Prec@1 51.875 (47.879) Prec@5 76.875 (78.357) Epoch: [57][10220/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 1.9346 (2.0165) Prec@1 48.125 (47.879) Prec@5 78.750 (78.356) Epoch: [57][10230/11272] Time 0.723 (0.794) Data 0.003 (0.002) Loss 2.3280 (2.0166) Prec@1 48.125 (47.879) Prec@5 70.625 (78.356) Epoch: [57][10240/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.8804 (2.0166) Prec@1 52.500 (47.880) Prec@5 79.375 (78.355) Epoch: [57][10250/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 2.0717 (2.0166) Prec@1 50.625 (47.879) Prec@5 76.250 (78.355) Epoch: [57][10260/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.9266 (2.0166) Prec@1 47.500 (47.878) Prec@5 80.000 (78.355) Epoch: [57][10270/11272] Time 0.704 (0.794) Data 0.001 (0.002) Loss 1.9290 (2.0166) Prec@1 50.000 (47.880) Prec@5 78.125 (78.356) Epoch: [57][10280/11272] Time 0.716 (0.794) Data 0.001 (0.002) Loss 2.0593 (2.0166) Prec@1 49.375 (47.878) Prec@5 74.375 (78.355) Epoch: [57][10290/11272] Time 0.865 (0.794) Data 0.003 (0.002) Loss 2.1042 (2.0167) Prec@1 48.125 (47.877) Prec@5 78.750 (78.355) Epoch: [57][10300/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 1.8834 (2.0167) Prec@1 46.875 (47.879) Prec@5 81.875 (78.355) Epoch: [57][10310/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.8349 (2.0167) Prec@1 49.375 (47.879) Prec@5 80.625 (78.354) Epoch: [57][10320/11272] Time 0.760 (0.794) Data 0.002 (0.002) Loss 1.9069 (2.0166) Prec@1 48.750 (47.879) Prec@5 80.625 (78.356) Epoch: [57][10330/11272] Time 0.905 (0.794) Data 0.002 (0.002) Loss 2.1593 (2.0167) Prec@1 38.750 (47.877) Prec@5 78.125 (78.354) Epoch: [57][10340/11272] Time 0.769 (0.794) Data 0.003 (0.002) Loss 2.0119 (2.0167) Prec@1 50.625 (47.877) Prec@5 80.625 (78.355) Epoch: [57][10350/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.1499 (2.0167) Prec@1 48.125 (47.877) Prec@5 73.125 (78.353) Epoch: [57][10360/11272] Time 0.852 (0.794) Data 0.001 (0.002) Loss 1.9245 (2.0167) Prec@1 52.500 (47.878) Prec@5 75.625 (78.353) Epoch: [57][10370/11272] Time 0.898 (0.794) Data 0.002 (0.002) Loss 1.9313 (2.0168) Prec@1 50.625 (47.876) Prec@5 82.500 (78.352) Epoch: [57][10380/11272] Time 0.755 (0.794) Data 0.002 (0.002) Loss 2.0710 (2.0168) Prec@1 47.500 (47.877) Prec@5 78.125 (78.353) Epoch: [57][10390/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 2.0007 (2.0168) Prec@1 43.750 (47.877) Prec@5 81.875 (78.352) Epoch: [57][10400/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.1622 (2.0168) Prec@1 44.375 (47.876) Prec@5 73.750 (78.351) Epoch: [57][10410/11272] Time 0.925 (0.794) Data 0.002 (0.002) Loss 1.8908 (2.0168) Prec@1 51.250 (47.875) Prec@5 81.250 (78.351) Epoch: [57][10420/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.8111 (2.0169) Prec@1 52.500 (47.874) Prec@5 82.500 (78.351) Epoch: [57][10430/11272] Time 0.769 (0.794) Data 0.002 (0.002) Loss 2.1540 (2.0168) Prec@1 46.875 (47.876) Prec@5 74.375 (78.352) Epoch: [57][10440/11272] Time 0.833 (0.794) Data 0.002 (0.002) Loss 2.0378 (2.0168) Prec@1 50.625 (47.875) Prec@5 76.250 (78.353) Epoch: [57][10450/11272] Time 0.888 (0.794) Data 0.002 (0.002) Loss 2.1448 (2.0168) Prec@1 47.500 (47.875) Prec@5 75.625 (78.353) Epoch: [57][10460/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 2.0731 (2.0168) Prec@1 48.125 (47.876) Prec@5 77.500 (78.354) Epoch: [57][10470/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 2.0965 (2.0168) Prec@1 46.250 (47.878) Prec@5 79.375 (78.355) Epoch: [57][10480/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 2.0202 (2.0167) Prec@1 48.125 (47.879) Prec@5 78.750 (78.357) Epoch: [57][10490/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 1.9895 (2.0167) Prec@1 46.875 (47.877) Prec@5 81.875 (78.356) Epoch: [57][10500/11272] Time 0.731 (0.794) Data 0.001 (0.002) Loss 2.1286 (2.0167) Prec@1 46.250 (47.877) Prec@5 76.250 (78.356) Epoch: [57][10510/11272] Time 0.861 (0.794) Data 0.002 (0.002) Loss 2.2276 (2.0168) Prec@1 43.125 (47.876) Prec@5 76.875 (78.356) Epoch: [57][10520/11272] Time 0.873 (0.794) Data 0.001 (0.002) Loss 1.9080 (2.0168) Prec@1 51.250 (47.875) Prec@5 78.750 (78.356) Epoch: [57][10530/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.8752 (2.0168) Prec@1 48.125 (47.875) Prec@5 81.250 (78.358) Epoch: [57][10540/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.8948 (2.0168) Prec@1 53.125 (47.874) Prec@5 79.375 (78.358) Epoch: [57][10550/11272] Time 0.920 (0.794) Data 0.001 (0.002) Loss 2.1988 (2.0167) Prec@1 41.250 (47.874) Prec@5 73.125 (78.359) Epoch: [57][10560/11272] Time 0.922 (0.794) Data 0.001 (0.002) Loss 1.8978 (2.0168) Prec@1 52.500 (47.875) Prec@5 80.000 (78.358) Epoch: [57][10570/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.9214 (2.0168) Prec@1 47.500 (47.875) Prec@5 80.625 (78.358) Epoch: [57][10580/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.7829 (2.0168) Prec@1 50.000 (47.874) Prec@5 83.125 (78.358) Epoch: [57][10590/11272] Time 0.852 (0.794) Data 0.002 (0.002) Loss 1.9040 (2.0168) Prec@1 48.750 (47.874) Prec@5 81.875 (78.356) Epoch: [57][10600/11272] Time 0.735 (0.794) Data 0.004 (0.002) Loss 1.8581 (2.0168) Prec@1 50.625 (47.873) Prec@5 84.375 (78.355) Epoch: [57][10610/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.7493 (2.0168) Prec@1 55.625 (47.874) Prec@5 84.375 (78.356) Epoch: [57][10620/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 2.2089 (2.0169) Prec@1 38.125 (47.870) Prec@5 74.375 (78.355) Epoch: [57][10630/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.4079 (2.0170) Prec@1 38.125 (47.867) Prec@5 68.750 (78.352) Epoch: [57][10640/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 2.1906 (2.0171) Prec@1 41.875 (47.866) Prec@5 76.875 (78.352) Epoch: [57][10650/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 2.1248 (2.0171) Prec@1 50.000 (47.866) Prec@5 73.750 (78.353) Epoch: [57][10660/11272] Time 0.832 (0.794) Data 0.002 (0.002) Loss 1.9047 (2.0171) Prec@1 49.375 (47.865) Prec@5 78.750 (78.353) Epoch: [57][10670/11272] Time 0.914 (0.794) Data 0.002 (0.002) Loss 1.6816 (2.0171) Prec@1 50.000 (47.865) Prec@5 87.500 (78.353) Epoch: [57][10680/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 1.9273 (2.0171) Prec@1 43.125 (47.865) Prec@5 80.000 (78.353) Epoch: [57][10690/11272] Time 0.769 (0.794) Data 0.002 (0.002) Loss 1.8379 (2.0171) Prec@1 53.750 (47.865) Prec@5 78.750 (78.352) Epoch: [57][10700/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 2.0212 (2.0171) Prec@1 49.375 (47.865) Prec@5 79.375 (78.353) Epoch: [57][10710/11272] Time 0.855 (0.794) Data 0.002 (0.002) Loss 1.9662 (2.0170) Prec@1 47.500 (47.867) Prec@5 80.000 (78.355) Epoch: [57][10720/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.8678 (2.0170) Prec@1 49.375 (47.865) Prec@5 80.625 (78.354) Epoch: [57][10730/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 2.1658 (2.0171) Prec@1 46.250 (47.863) Prec@5 73.750 (78.352) Epoch: [57][10740/11272] Time 0.858 (0.794) Data 0.001 (0.002) Loss 2.0390 (2.0172) Prec@1 51.250 (47.860) Prec@5 78.125 (78.350) Epoch: [57][10750/11272] Time 0.776 (0.794) Data 0.001 (0.002) Loss 2.1673 (2.0172) Prec@1 42.500 (47.859) Prec@5 74.375 (78.349) Epoch: [57][10760/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9004 (2.0173) Prec@1 46.250 (47.858) Prec@5 85.000 (78.350) Epoch: [57][10770/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 2.0371 (2.0172) Prec@1 51.250 (47.860) Prec@5 75.625 (78.352) Epoch: [57][10780/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 1.8904 (2.0172) Prec@1 51.875 (47.860) Prec@5 80.625 (78.352) Epoch: [57][10790/11272] Time 0.721 (0.794) Data 0.001 (0.002) Loss 2.0860 (2.0172) Prec@1 45.625 (47.860) Prec@5 78.125 (78.353) Epoch: [57][10800/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 2.1754 (2.0172) Prec@1 43.125 (47.862) Prec@5 73.750 (78.353) Epoch: [57][10810/11272] Time 0.858 (0.794) Data 0.002 (0.002) Loss 2.1155 (2.0172) Prec@1 46.250 (47.863) Prec@5 75.000 (78.353) Epoch: [57][10820/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 2.1416 (2.0172) Prec@1 48.125 (47.861) Prec@5 76.875 (78.354) Epoch: [57][10830/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.0895 (2.0171) Prec@1 45.000 (47.861) Prec@5 76.875 (78.355) Epoch: [57][10840/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 2.0398 (2.0172) Prec@1 50.000 (47.860) Prec@5 78.125 (78.355) Epoch: [57][10850/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 1.9987 (2.0172) Prec@1 48.750 (47.860) Prec@5 79.375 (78.354) Epoch: [57][10860/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 2.1468 (2.0172) Prec@1 46.250 (47.860) Prec@5 75.625 (78.353) Epoch: [57][10870/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9705 (2.0172) Prec@1 48.125 (47.860) Prec@5 81.875 (78.353) Epoch: [57][10880/11272] Time 0.827 (0.794) Data 0.002 (0.002) Loss 2.2740 (2.0173) Prec@1 45.000 (47.859) Prec@5 73.125 (78.352) Epoch: [57][10890/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 2.1228 (2.0173) Prec@1 42.500 (47.859) Prec@5 77.500 (78.353) Epoch: [57][10900/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 2.1919 (2.0173) Prec@1 44.375 (47.859) Prec@5 75.000 (78.353) Epoch: [57][10910/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.9981 (2.0173) Prec@1 48.125 (47.860) Prec@5 79.375 (78.353) Epoch: [57][10920/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 1.9235 (2.0173) Prec@1 48.125 (47.860) Prec@5 78.750 (78.355) Epoch: [57][10930/11272] Time 0.817 (0.794) Data 0.001 (0.002) Loss 1.7694 (2.0173) Prec@1 53.125 (47.860) Prec@5 83.750 (78.354) Epoch: [57][10940/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.9646 (2.0173) Prec@1 48.750 (47.859) Prec@5 79.375 (78.355) Epoch: [57][10950/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 2.0624 (2.0173) Prec@1 41.875 (47.859) Prec@5 76.875 (78.355) Epoch: [57][10960/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 2.1446 (2.0173) Prec@1 42.500 (47.857) Prec@5 73.125 (78.354) Epoch: [57][10970/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 1.9992 (2.0174) Prec@1 51.875 (47.855) Prec@5 75.000 (78.353) Epoch: [57][10980/11272] Time 0.763 (0.794) Data 0.001 (0.002) Loss 2.1807 (2.0175) Prec@1 41.875 (47.853) Prec@5 74.375 (78.352) Epoch: [57][10990/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 2.1993 (2.0176) Prec@1 43.750 (47.851) Prec@5 76.875 (78.351) Epoch: [57][11000/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 1.9213 (2.0176) Prec@1 46.250 (47.850) Prec@5 77.500 (78.351) Epoch: [57][11010/11272] Time 0.757 (0.794) Data 0.001 (0.002) Loss 2.1736 (2.0176) Prec@1 41.875 (47.851) Prec@5 75.000 (78.351) Epoch: [57][11020/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 2.0120 (2.0176) Prec@1 47.500 (47.852) Prec@5 79.375 (78.350) Epoch: [57][11030/11272] Time 0.836 (0.794) Data 0.001 (0.002) Loss 2.1380 (2.0176) Prec@1 48.125 (47.852) Prec@5 75.000 (78.350) Epoch: [57][11040/11272] Time 0.899 (0.794) Data 0.002 (0.002) Loss 1.9468 (2.0176) Prec@1 53.750 (47.853) Prec@5 75.625 (78.350) Epoch: [57][11050/11272] Time 0.765 (0.794) Data 0.002 (0.002) Loss 2.2730 (2.0176) Prec@1 42.500 (47.853) Prec@5 70.625 (78.350) Epoch: [57][11060/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.9506 (2.0176) Prec@1 51.250 (47.853) Prec@5 77.500 (78.350) Epoch: [57][11070/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 1.9025 (2.0176) Prec@1 50.625 (47.853) Prec@5 78.750 (78.350) Epoch: [57][11080/11272] Time 0.911 (0.794) Data 0.001 (0.002) Loss 1.6826 (2.0176) Prec@1 55.625 (47.852) Prec@5 86.250 (78.349) Epoch: [57][11090/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.9693 (2.0176) Prec@1 45.625 (47.853) Prec@5 82.500 (78.351) Epoch: [57][11100/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.9904 (2.0175) Prec@1 48.750 (47.853) Prec@5 74.375 (78.351) Epoch: [57][11110/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 2.0010 (2.0175) Prec@1 47.500 (47.854) Prec@5 80.000 (78.353) Epoch: [57][11120/11272] Time 0.821 (0.794) Data 0.002 (0.002) Loss 1.9770 (2.0175) Prec@1 46.875 (47.854) Prec@5 80.000 (78.354) Epoch: [57][11130/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.7847 (2.0175) Prec@1 50.000 (47.854) Prec@5 82.500 (78.354) Epoch: [57][11140/11272] Time 0.877 (0.794) Data 0.001 (0.002) Loss 2.0482 (2.0175) Prec@1 42.500 (47.854) Prec@5 79.375 (78.354) Epoch: [57][11150/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 2.1679 (2.0175) Prec@1 44.375 (47.853) Prec@5 72.500 (78.354) Epoch: [57][11160/11272] Time 0.729 (0.794) Data 0.001 (0.002) Loss 1.9327 (2.0176) Prec@1 56.250 (47.853) Prec@5 78.750 (78.353) Epoch: [57][11170/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 2.1417 (2.0176) Prec@1 44.375 (47.852) Prec@5 72.500 (78.353) Epoch: [57][11180/11272] Time 0.883 (0.794) Data 0.001 (0.002) Loss 2.0001 (2.0175) Prec@1 53.750 (47.854) Prec@5 81.875 (78.354) Epoch: [57][11190/11272] Time 0.944 (0.794) Data 0.002 (0.002) Loss 2.1043 (2.0176) Prec@1 51.875 (47.854) Prec@5 74.375 (78.353) Epoch: [57][11200/11272] Time 0.744 (0.794) Data 0.001 (0.002) Loss 2.2302 (2.0176) Prec@1 45.000 (47.851) Prec@5 73.750 (78.353) Epoch: [57][11210/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 2.1370 (2.0176) Prec@1 41.250 (47.851) Prec@5 75.625 (78.353) Epoch: [57][11220/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 2.2360 (2.0177) Prec@1 42.500 (47.851) Prec@5 69.375 (78.351) Epoch: [57][11230/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.8953 (2.0177) Prec@1 49.375 (47.852) Prec@5 78.750 (78.350) Epoch: [57][11240/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 2.1780 (2.0177) Prec@1 44.375 (47.852) Prec@5 76.875 (78.350) Epoch: [57][11250/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8700 (2.0177) Prec@1 50.000 (47.851) Prec@5 81.250 (78.350) Epoch: [57][11260/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 2.2597 (2.0177) Prec@1 38.750 (47.851) Prec@5 73.125 (78.349) Epoch: [57][11270/11272] Time 0.707 (0.794) Data 0.000 (0.002) Loss 2.1810 (2.0178) Prec@1 43.125 (47.848) Prec@5 76.875 (78.346) Test: [0/229] Time 2.466 (2.466) Loss 1.0397 (1.0397) Prec@1 65.000 (65.000) Prec@5 95.625 (95.625) Test: [10/229] Time 0.379 (0.562) Loss 1.0878 (1.5289) Prec@1 67.500 (58.750) Prec@5 96.250 (88.125) Test: [20/229] Time 0.522 (0.481) Loss 2.1636 (1.6368) Prec@1 46.875 (55.268) Prec@5 75.625 (86.429) Test: [30/229] Time 0.371 (0.446) Loss 1.8866 (1.5937) Prec@1 50.000 (56.976) Prec@5 85.000 (86.593) Test: [40/229] Time 0.364 (0.430) Loss 0.4886 (1.6130) Prec@1 90.000 (56.738) Prec@5 95.000 (86.204) Test: [50/229] Time 0.396 (0.422) Loss 2.1065 (1.6671) Prec@1 38.750 (55.294) Prec@5 80.625 (85.159) Test: [60/229] Time 0.419 (0.419) Loss 2.2365 (1.6662) Prec@1 36.875 (55.143) Prec@5 76.875 (85.123) Test: [70/229] Time 0.377 (0.413) Loss 1.4423 (1.7063) Prec@1 66.250 (54.155) Prec@5 80.625 (84.410) Test: [80/229] Time 0.406 (0.409) Loss 1.6699 (1.7380) Prec@1 55.625 (53.140) Prec@5 89.375 (84.097) Test: [90/229] Time 0.345 (0.406) Loss 1.4877 (1.7562) Prec@1 66.875 (52.837) Prec@5 82.500 (83.812) Test: [100/229] Time 0.464 (0.405) Loss 2.0909 (1.7553) Prec@1 53.750 (53.007) Prec@5 83.125 (83.892) Test: [110/229] Time 0.343 (0.402) Loss 1.5636 (1.7450) Prec@1 56.875 (53.057) Prec@5 85.000 (83.970) Test: [120/229] Time 0.463 (0.401) Loss 2.8705 (1.7676) Prec@1 27.500 (52.381) Prec@5 73.125 (83.765) Test: [130/229] Time 0.398 (0.401) Loss 1.3171 (1.7515) Prec@1 63.125 (52.777) Prec@5 89.375 (83.998) Test: [140/229] Time 0.335 (0.398) Loss 2.0220 (1.7586) Prec@1 45.000 (52.602) Prec@5 80.000 (83.905) Test: [150/229] Time 0.445 (0.397) Loss 1.1193 (1.7717) Prec@1 75.000 (52.397) Prec@5 88.750 (83.659) Test: [160/229] Time 0.339 (0.396) Loss 1.8739 (1.7745) Prec@1 53.750 (52.240) Prec@5 85.625 (83.661) Test: [170/229] Time 0.391 (0.395) Loss 1.8813 (1.7929) Prec@1 46.250 (51.689) Prec@5 83.125 (83.392) Test: [180/229] Time 0.305 (0.395) Loss 2.3401 (1.8007) Prec@1 34.375 (51.544) Prec@5 73.125 (83.215) Test: [190/229] Time 0.358 (0.395) Loss 1.5680 (1.7860) Prec@1 58.125 (51.944) Prec@5 90.000 (83.390) Test: [200/229] Time 0.416 (0.394) Loss 2.0535 (1.7828) Prec@1 36.875 (51.915) Prec@5 78.125 (83.535) Test: [210/229] Time 0.336 (0.394) Loss 1.3427 (1.7735) Prec@1 56.875 (52.213) Prec@5 90.000 (83.682) Test: [220/229] Time 0.354 (0.394) Loss 1.9595 (1.7640) Prec@1 46.250 (52.582) Prec@5 86.250 (83.809) * Prec@1 52.934 Prec@5 83.872 Epoch: [58][0/11272] Time 3.861 (3.861) Data 2.889 (2.889) Loss 2.1484 (2.1484) Prec@1 48.125 (48.125) Prec@5 76.250 (76.250) Epoch: [58][10/11272] Time 0.777 (1.076) Data 0.001 (0.264) Loss 2.1018 (1.9869) Prec@1 44.375 (48.182) Prec@5 75.625 (78.807) Epoch: [58][20/11272] Time 0.770 (0.947) Data 0.002 (0.139) Loss 1.9929 (2.0479) Prec@1 48.125 (47.411) Prec@5 75.625 (77.381) Epoch: [58][30/11272] Time 0.871 (0.899) Data 0.002 (0.095) Loss 2.1216 (2.0453) Prec@1 46.250 (47.520) Prec@5 75.000 (77.238) Epoch: [58][40/11272] Time 0.884 (0.877) Data 0.002 (0.072) Loss 2.1938 (2.0319) Prec@1 41.875 (47.759) Prec@5 70.625 (77.363) Epoch: [58][50/11272] Time 0.726 (0.860) Data 0.001 (0.058) Loss 2.1365 (2.0378) Prec@1 45.000 (47.426) Prec@5 77.500 (77.647) Epoch: [58][60/11272] Time 0.776 (0.847) Data 0.001 (0.049) Loss 1.8259 (2.0315) Prec@1 55.000 (47.746) Prec@5 78.125 (77.613) Epoch: [58][70/11272] Time 0.867 (0.839) Data 0.002 (0.042) Loss 2.0539 (2.0109) Prec@1 49.375 (48.055) Prec@5 76.250 (77.949) Epoch: [58][80/11272] Time 0.737 (0.831) Data 0.001 (0.037) Loss 2.0645 (2.0123) Prec@1 45.625 (47.886) Prec@5 80.625 (78.002) Epoch: [58][90/11272] Time 0.732 (0.827) Data 0.001 (0.033) Loss 2.0846 (2.0106) Prec@1 48.750 (48.049) Prec@5 73.125 (77.974) Epoch: [58][100/11272] Time 0.897 (0.824) Data 0.002 (0.030) Loss 2.0270 (2.0115) Prec@1 50.000 (47.964) Prec@5 79.375 (78.063) Epoch: [58][110/11272] Time 0.814 (0.821) Data 0.001 (0.028) Loss 2.2120 (2.0104) Prec@1 46.250 (48.091) Prec@5 77.500 (78.209) Epoch: [58][120/11272] Time 0.728 (0.817) Data 0.001 (0.026) Loss 2.0754 (2.0048) Prec@1 46.875 (48.156) Prec@5 78.750 (78.275) Epoch: [58][130/11272] Time 0.731 (0.815) Data 0.002 (0.024) Loss 1.8650 (2.0062) Prec@1 48.125 (48.187) Prec@5 82.500 (78.225) Epoch: [58][140/11272] Time 0.834 (0.814) Data 0.001 (0.022) Loss 1.7824 (2.0029) Prec@1 51.875 (48.307) Prec@5 83.750 (78.355) Epoch: [58][150/11272] Time 0.869 (0.812) Data 0.002 (0.021) Loss 2.0002 (2.0075) Prec@1 49.375 (48.137) Prec@5 80.000 (78.328) Epoch: [58][160/11272] Time 0.740 (0.811) Data 0.002 (0.020) Loss 2.1950 (2.0083) Prec@1 46.875 (48.129) Prec@5 74.375 (78.319) Epoch: [58][170/11272] Time 0.722 (0.810) Data 0.002 (0.019) Loss 1.9282 (2.0093) Prec@1 54.375 (48.103) Prec@5 77.500 (78.319) Epoch: [58][180/11272] Time 0.835 (0.810) Data 0.002 (0.018) Loss 1.8732 (2.0085) Prec@1 50.000 (48.128) Prec@5 79.375 (78.391) Epoch: [58][190/11272] Time 0.726 (0.808) Data 0.003 (0.017) Loss 1.9634 (2.0085) Prec@1 43.750 (48.092) Prec@5 82.500 (78.403) Epoch: [58][200/11272] Time 0.727 (0.807) Data 0.002 (0.016) Loss 1.9251 (2.0084) Prec@1 51.875 (48.088) Prec@5 80.000 (78.427) Epoch: [58][210/11272] Time 0.827 (0.806) Data 0.002 (0.015) Loss 2.2052 (2.0104) Prec@1 45.000 (48.039) Prec@5 75.625 (78.383) Epoch: [58][220/11272] Time 0.856 (0.805) Data 0.002 (0.015) Loss 2.2772 (2.0107) Prec@1 44.375 (48.057) Prec@5 70.625 (78.394) Epoch: [58][230/11272] Time 0.734 (0.805) Data 0.002 (0.014) Loss 1.8481 (2.0097) Prec@1 52.500 (48.120) Prec@5 80.000 (78.425) Epoch: [58][240/11272] Time 0.734 (0.804) Data 0.002 (0.014) Loss 1.9053 (2.0067) Prec@1 53.750 (48.244) Prec@5 81.250 (78.480) Epoch: [58][250/11272] Time 0.883 (0.805) Data 0.002 (0.013) Loss 2.0454 (2.0082) Prec@1 43.125 (48.190) Prec@5 74.375 (78.446) Epoch: [58][260/11272] Time 0.864 (0.804) Data 0.001 (0.013) Loss 1.9326 (2.0068) Prec@1 47.500 (48.194) Prec@5 80.000 (78.511) Epoch: [58][270/11272] Time 0.705 (0.804) Data 0.001 (0.012) Loss 1.9550 (2.0105) Prec@1 50.000 (48.127) Prec@5 80.000 (78.473) Epoch: [58][280/11272] Time 0.744 (0.803) Data 0.002 (0.012) Loss 2.0576 (2.0110) Prec@1 48.750 (48.143) Prec@5 76.250 (78.459) Epoch: [58][290/11272] Time 0.868 (0.803) Data 0.002 (0.012) Loss 2.0637 (2.0107) Prec@1 54.375 (48.185) Prec@5 75.000 (78.451) Epoch: [58][300/11272] Time 0.894 (0.803) Data 0.002 (0.011) Loss 1.9649 (2.0120) Prec@1 52.500 (48.169) Prec@5 75.625 (78.414) Epoch: [58][310/11272] Time 0.745 (0.802) Data 0.003 (0.011) Loss 2.2175 (2.0152) Prec@1 41.250 (48.081) Prec@5 76.250 (78.390) Epoch: [58][320/11272] Time 0.868 (0.802) Data 0.002 (0.011) Loss 2.1352 (2.0144) Prec@1 45.625 (48.121) Prec@5 75.625 (78.384) Epoch: [58][330/11272] Time 0.825 (0.801) Data 0.002 (0.010) Loss 1.8412 (2.0129) Prec@1 50.625 (48.184) Prec@5 79.375 (78.382) Epoch: [58][340/11272] Time 0.761 (0.801) Data 0.001 (0.010) Loss 2.0050 (2.0113) Prec@1 51.250 (48.259) Prec@5 79.375 (78.420) Epoch: [58][350/11272] Time 0.730 (0.801) Data 0.002 (0.010) Loss 2.1268 (2.0123) Prec@1 46.875 (48.255) Prec@5 74.375 (78.390) Epoch: [58][360/11272] Time 0.854 (0.801) Data 0.001 (0.010) Loss 1.8979 (2.0114) Prec@1 46.250 (48.255) Prec@5 81.875 (78.400) Epoch: [58][370/11272] Time 0.885 (0.800) Data 0.002 (0.009) Loss 1.8253 (2.0100) Prec@1 50.625 (48.241) Prec@5 81.875 (78.480) Epoch: [58][380/11272] Time 0.749 (0.800) Data 0.001 (0.009) Loss 2.1338 (2.0114) Prec@1 46.875 (48.219) Prec@5 75.625 (78.443) Epoch: [58][390/11272] Time 0.726 (0.800) Data 0.002 (0.009) Loss 1.9125 (2.0115) Prec@1 52.500 (48.224) Prec@5 78.125 (78.440) Epoch: [58][400/11272] Time 0.867 (0.800) Data 0.002 (0.009) Loss 1.5943 (2.0102) Prec@1 55.625 (48.228) Prec@5 87.500 (78.454) Epoch: [58][410/11272] Time 0.922 (0.800) Data 0.002 (0.009) Loss 1.8299 (2.0085) Prec@1 53.125 (48.294) Prec@5 80.625 (78.484) Epoch: [58][420/11272] Time 0.726 (0.800) Data 0.002 (0.009) Loss 1.8378 (2.0071) Prec@1 49.375 (48.317) Prec@5 80.000 (78.477) Epoch: [58][430/11272] Time 0.750 (0.799) Data 0.002 (0.008) Loss 2.0378 (2.0072) Prec@1 46.875 (48.324) Prec@5 78.750 (78.470) Epoch: [58][440/11272] Time 0.824 (0.799) Data 0.001 (0.008) Loss 2.0003 (2.0061) Prec@1 44.375 (48.323) Prec@5 81.250 (78.493) Epoch: [58][450/11272] Time 0.835 (0.799) Data 0.001 (0.008) Loss 1.8282 (2.0041) Prec@1 53.125 (48.340) Prec@5 80.625 (78.553) Epoch: [58][460/11272] Time 0.739 (0.799) Data 0.002 (0.008) Loss 1.9078 (2.0038) Prec@1 52.500 (48.377) Prec@5 81.875 (78.524) Epoch: [58][470/11272] Time 0.824 (0.799) Data 0.002 (0.008) Loss 2.2509 (2.0038) Prec@1 50.000 (48.394) Prec@5 71.250 (78.548) Epoch: [58][480/11272] Time 0.870 (0.799) Data 0.003 (0.008) Loss 1.9375 (2.0035) Prec@1 54.375 (48.389) Prec@5 75.625 (78.558) Epoch: [58][490/11272] Time 0.725 (0.798) Data 0.001 (0.008) Loss 2.0954 (2.0059) Prec@1 48.125 (48.348) Prec@5 76.875 (78.513) Epoch: [58][500/11272] Time 0.720 (0.798) Data 0.001 (0.007) Loss 2.0030 (2.0050) Prec@1 45.625 (48.387) Prec@5 81.875 (78.542) Epoch: [58][510/11272] Time 0.837 (0.798) Data 0.002 (0.007) Loss 1.8850 (2.0042) Prec@1 49.375 (48.378) Prec@5 76.875 (78.538) Epoch: [58][520/11272] Time 0.851 (0.798) Data 0.001 (0.007) Loss 2.1212 (2.0047) Prec@1 49.375 (48.357) Prec@5 73.750 (78.512) Epoch: [58][530/11272] Time 0.716 (0.798) Data 0.001 (0.007) Loss 1.8942 (2.0044) Prec@1 46.875 (48.363) Prec@5 82.500 (78.518) Epoch: [58][540/11272] Time 0.720 (0.798) Data 0.002 (0.007) Loss 2.0985 (2.0041) Prec@1 46.875 (48.358) Prec@5 78.125 (78.554) Epoch: [58][550/11272] Time 0.839 (0.798) Data 0.001 (0.007) Loss 2.0701 (2.0048) Prec@1 45.625 (48.330) Prec@5 78.125 (78.531) Epoch: [58][560/11272] Time 0.832 (0.798) Data 0.002 (0.007) Loss 1.8693 (2.0040) Prec@1 50.625 (48.347) Prec@5 80.000 (78.538) Epoch: [58][570/11272] Time 0.706 (0.797) Data 0.001 (0.007) Loss 2.0881 (2.0039) Prec@1 45.625 (48.330) Prec@5 78.125 (78.548) Epoch: [58][580/11272] Time 0.715 (0.797) Data 0.001 (0.007) Loss 2.0672 (2.0030) Prec@1 45.625 (48.347) Prec@5 75.625 (78.575) Epoch: [58][590/11272] Time 0.805 (0.797) Data 0.001 (0.007) Loss 1.9380 (2.0031) Prec@1 50.625 (48.328) Prec@5 79.375 (78.587) Epoch: [58][600/11272] Time 0.726 (0.796) Data 0.001 (0.006) Loss 2.1748 (2.0029) Prec@1 45.000 (48.308) Prec@5 73.750 (78.573) Epoch: [58][610/11272] Time 0.713 (0.796) Data 0.001 (0.006) Loss 2.2636 (2.0024) Prec@1 50.000 (48.319) Prec@5 73.750 (78.592) Epoch: [58][620/11272] Time 0.831 (0.796) Data 0.002 (0.006) Loss 1.9059 (2.0014) Prec@1 51.875 (48.343) Prec@5 83.125 (78.617) Epoch: [58][630/11272] Time 0.862 (0.796) Data 0.002 (0.006) Loss 1.9091 (2.0012) Prec@1 47.500 (48.321) Prec@5 76.875 (78.641) Epoch: [58][640/11272] Time 0.756 (0.796) Data 0.002 (0.006) Loss 2.1014 (1.9999) Prec@1 44.375 (48.336) Prec@5 79.375 (78.676) Epoch: [58][650/11272] Time 0.744 (0.796) Data 0.002 (0.006) Loss 2.1145 (1.9996) Prec@1 46.250 (48.352) Prec@5 77.500 (78.673) Epoch: [58][660/11272] Time 0.857 (0.796) Data 0.002 (0.006) Loss 2.0123 (1.9999) Prec@1 48.125 (48.352) Prec@5 76.875 (78.660) Epoch: [58][670/11272] Time 0.930 (0.796) Data 0.002 (0.006) Loss 1.8333 (2.0002) Prec@1 51.875 (48.336) Prec@5 76.875 (78.665) Epoch: [58][680/11272] Time 0.747 (0.796) Data 0.002 (0.006) Loss 1.8978 (1.9999) Prec@1 48.125 (48.336) Prec@5 81.250 (78.676) Epoch: [58][690/11272] Time 0.729 (0.796) Data 0.002 (0.006) Loss 1.7129 (1.9996) Prec@1 56.250 (48.321) Prec@5 80.625 (78.675) Epoch: [58][700/11272] Time 0.835 (0.796) Data 0.002 (0.006) Loss 2.0251 (1.9991) Prec@1 44.375 (48.347) Prec@5 85.000 (78.698) Epoch: [58][710/11272] Time 0.852 (0.796) Data 0.002 (0.006) Loss 1.8662 (1.9992) Prec@1 48.750 (48.354) Prec@5 78.750 (78.690) Epoch: [58][720/11272] Time 0.726 (0.796) Data 0.002 (0.006) Loss 1.5895 (1.9986) Prec@1 58.750 (48.371) Prec@5 81.875 (78.700) Epoch: [58][730/11272] Time 0.828 (0.796) Data 0.002 (0.006) Loss 1.9675 (1.9987) Prec@1 49.375 (48.360) Prec@5 80.000 (78.700) Epoch: [58][740/11272] Time 0.888 (0.796) Data 0.001 (0.006) Loss 2.2213 (1.9985) Prec@1 41.875 (48.359) Prec@5 78.750 (78.724) Epoch: [58][750/11272] Time 0.721 (0.796) Data 0.002 (0.005) Loss 1.7523 (1.9987) Prec@1 53.750 (48.378) Prec@5 81.250 (78.704) Epoch: [58][760/11272] Time 0.724 (0.795) Data 0.002 (0.005) Loss 1.7927 (1.9977) Prec@1 53.750 (48.417) Prec@5 78.750 (78.708) Epoch: [58][770/11272] Time 0.841 (0.795) Data 0.001 (0.005) Loss 2.0345 (1.9979) Prec@1 49.375 (48.426) Prec@5 76.250 (78.691) Epoch: [58][780/11272] Time 0.857 (0.795) Data 0.002 (0.005) Loss 2.1632 (1.9979) Prec@1 46.875 (48.424) Prec@5 75.000 (78.688) Epoch: [58][790/11272] Time 0.735 (0.795) Data 0.002 (0.005) Loss 1.8526 (1.9979) Prec@1 48.125 (48.414) Prec@5 83.750 (78.687) Epoch: [58][800/11272] Time 0.752 (0.795) Data 0.002 (0.005) Loss 2.1694 (1.9981) Prec@1 44.375 (48.416) Prec@5 74.375 (78.683) Epoch: [58][810/11272] Time 0.796 (0.795) Data 0.001 (0.005) Loss 1.7124 (1.9979) Prec@1 57.500 (48.420) Prec@5 79.375 (78.680) Epoch: [58][820/11272] Time 0.834 (0.795) Data 0.002 (0.005) Loss 1.9155 (1.9975) Prec@1 55.000 (48.430) Prec@5 78.750 (78.675) Epoch: [58][830/11272] Time 0.761 (0.795) Data 0.002 (0.005) Loss 2.2466 (1.9974) Prec@1 43.125 (48.437) Prec@5 76.250 (78.679) Epoch: [58][840/11272] Time 0.764 (0.795) Data 0.002 (0.005) Loss 2.1787 (1.9981) Prec@1 41.250 (48.427) Prec@5 77.500 (78.662) Epoch: [58][850/11272] Time 0.864 (0.795) Data 0.002 (0.005) Loss 2.1692 (1.9986) Prec@1 48.125 (48.447) Prec@5 71.875 (78.643) Epoch: [58][860/11272] Time 0.743 (0.795) Data 0.003 (0.005) Loss 1.7653 (1.9984) Prec@1 50.625 (48.470) Prec@5 83.125 (78.652) Epoch: [58][870/11272] Time 0.750 (0.795) Data 0.002 (0.005) Loss 1.9618 (1.9986) Prec@1 51.250 (48.468) Prec@5 78.750 (78.652) Epoch: [58][880/11272] Time 0.834 (0.795) Data 0.001 (0.005) Loss 1.8294 (1.9981) Prec@1 50.000 (48.472) Prec@5 82.500 (78.657) Epoch: [58][890/11272] Time 0.843 (0.795) Data 0.002 (0.005) Loss 1.8455 (1.9989) Prec@1 48.750 (48.439) Prec@5 83.750 (78.655) Epoch: [58][900/11272] Time 0.723 (0.795) Data 0.002 (0.005) Loss 1.9040 (1.9989) Prec@1 50.000 (48.440) Prec@5 80.625 (78.653) Epoch: [58][910/11272] Time 0.736 (0.795) Data 0.002 (0.005) Loss 1.9416 (1.9991) Prec@1 50.625 (48.437) Prec@5 80.000 (78.657) Epoch: [58][920/11272] Time 0.839 (0.795) Data 0.002 (0.005) Loss 1.7676 (1.9994) Prec@1 49.375 (48.422) Prec@5 78.125 (78.646) Epoch: [58][930/11272] Time 0.841 (0.795) Data 0.001 (0.005) Loss 2.0157 (1.9988) Prec@1 46.875 (48.422) Prec@5 81.250 (78.668) Epoch: [58][940/11272] Time 0.737 (0.795) Data 0.002 (0.005) Loss 2.0703 (1.9989) Prec@1 50.000 (48.399) Prec@5 78.125 (78.669) Epoch: [58][950/11272] Time 0.727 (0.795) Data 0.002 (0.005) Loss 1.8120 (1.9981) Prec@1 52.500 (48.419) Prec@5 79.375 (78.672) Epoch: [58][960/11272] Time 0.819 (0.795) Data 0.002 (0.005) Loss 2.0073 (1.9976) Prec@1 49.375 (48.421) Prec@5 76.875 (78.688) Epoch: [58][970/11272] Time 0.903 (0.795) Data 0.002 (0.005) Loss 1.8141 (1.9973) Prec@1 51.250 (48.418) Prec@5 81.875 (78.693) Epoch: [58][980/11272] Time 0.745 (0.795) Data 0.001 (0.005) Loss 2.1450 (1.9973) Prec@1 46.250 (48.426) Prec@5 75.000 (78.694) Epoch: [58][990/11272] Time 0.836 (0.795) Data 0.002 (0.005) Loss 1.9493 (1.9977) Prec@1 51.250 (48.430) Prec@5 79.375 (78.686) Epoch: [58][1000/11272] Time 0.869 (0.795) Data 0.002 (0.005) Loss 2.1581 (1.9986) Prec@1 45.625 (48.390) Prec@5 74.375 (78.674) Epoch: [58][1010/11272] Time 0.760 (0.795) Data 0.002 (0.004) Loss 1.8586 (1.9977) Prec@1 49.375 (48.400) Prec@5 80.000 (78.692) Epoch: [58][1020/11272] Time 0.736 (0.795) Data 0.002 (0.004) Loss 1.5603 (1.9966) Prec@1 58.125 (48.415) Prec@5 87.500 (78.724) Epoch: [58][1030/11272] Time 0.857 (0.795) Data 0.002 (0.004) Loss 2.0127 (1.9959) Prec@1 48.125 (48.437) Prec@5 76.875 (78.740) Epoch: [58][1040/11272] Time 0.843 (0.795) Data 0.001 (0.004) Loss 2.0136 (1.9962) Prec@1 44.375 (48.436) Prec@5 78.750 (78.740) Epoch: [58][1050/11272] Time 0.737 (0.795) Data 0.002 (0.004) Loss 2.1897 (1.9972) Prec@1 46.875 (48.419) Prec@5 74.375 (78.720) Epoch: [58][1060/11272] Time 0.714 (0.795) Data 0.001 (0.004) Loss 1.9473 (1.9967) Prec@1 50.000 (48.434) Prec@5 81.875 (78.742) Epoch: [58][1070/11272] Time 0.883 (0.795) Data 0.002 (0.004) Loss 2.2502 (1.9972) Prec@1 42.500 (48.416) Prec@5 75.625 (78.738) Epoch: [58][1080/11272] Time 0.832 (0.795) Data 0.002 (0.004) Loss 1.9101 (1.9976) Prec@1 45.000 (48.416) Prec@5 77.500 (78.724) Epoch: [58][1090/11272] Time 0.720 (0.795) Data 0.003 (0.004) Loss 1.8727 (1.9973) Prec@1 50.625 (48.422) Prec@5 78.750 (78.724) Epoch: [58][1100/11272] Time 0.748 (0.795) Data 0.002 (0.004) Loss 2.2167 (1.9968) Prec@1 46.250 (48.432) Prec@5 74.375 (78.726) Epoch: [58][1110/11272] Time 0.864 (0.795) Data 0.002 (0.004) Loss 2.1537 (1.9973) Prec@1 40.625 (48.425) Prec@5 76.875 (78.722) Epoch: [58][1120/11272] Time 0.740 (0.795) Data 0.004 (0.004) Loss 1.9629 (1.9967) Prec@1 49.375 (48.431) Prec@5 78.125 (78.738) Epoch: [58][1130/11272] Time 0.726 (0.795) Data 0.001 (0.004) Loss 2.1270 (1.9973) Prec@1 42.500 (48.421) Prec@5 76.875 (78.738) Epoch: [58][1140/11272] Time 0.864 (0.795) Data 0.002 (0.004) Loss 1.9952 (1.9973) Prec@1 49.375 (48.425) Prec@5 80.000 (78.730) Epoch: [58][1150/11272] Time 0.926 (0.795) Data 0.002 (0.004) Loss 2.0751 (1.9970) Prec@1 49.375 (48.443) Prec@5 76.250 (78.741) Epoch: [58][1160/11272] Time 0.727 (0.795) Data 0.002 (0.004) Loss 2.0203 (1.9970) Prec@1 51.250 (48.444) Prec@5 76.250 (78.742) Epoch: [58][1170/11272] Time 0.741 (0.796) Data 0.002 (0.004) Loss 1.8690 (1.9971) Prec@1 50.000 (48.437) Prec@5 78.750 (78.738) Epoch: [58][1180/11272] Time 0.831 (0.796) Data 0.002 (0.004) Loss 1.8675 (1.9969) Prec@1 50.000 (48.431) Prec@5 80.000 (78.753) Epoch: [58][1190/11272] Time 0.873 (0.796) Data 0.002 (0.004) Loss 2.0069 (1.9975) Prec@1 49.375 (48.406) Prec@5 74.375 (78.735) Epoch: [58][1200/11272] Time 0.727 (0.795) Data 0.002 (0.004) Loss 2.0186 (1.9975) Prec@1 48.750 (48.402) Prec@5 78.125 (78.729) Epoch: [58][1210/11272] Time 0.775 (0.795) Data 0.002 (0.004) Loss 1.9782 (1.9968) Prec@1 45.000 (48.403) Prec@5 80.000 (78.746) Epoch: [58][1220/11272] Time 0.966 (0.795) Data 0.002 (0.004) Loss 2.0891 (1.9972) Prec@1 48.750 (48.401) Prec@5 74.375 (78.742) Epoch: [58][1230/11272] Time 0.859 (0.796) Data 0.001 (0.004) Loss 2.0738 (1.9973) Prec@1 45.625 (48.402) Prec@5 78.750 (78.745) Epoch: [58][1240/11272] Time 0.744 (0.796) Data 0.001 (0.004) Loss 2.3481 (1.9975) Prec@1 42.500 (48.409) Prec@5 70.000 (78.739) Epoch: [58][1250/11272] Time 0.861 (0.796) Data 0.002 (0.004) Loss 1.6270 (1.9977) Prec@1 58.750 (48.397) Prec@5 86.250 (78.736) Epoch: [58][1260/11272] Time 0.836 (0.796) Data 0.002 (0.004) Loss 2.1141 (1.9982) Prec@1 46.875 (48.391) Prec@5 75.625 (78.729) Epoch: [58][1270/11272] Time 0.774 (0.796) Data 0.001 (0.004) Loss 2.3178 (1.9984) Prec@1 45.000 (48.386) Prec@5 73.125 (78.732) Epoch: [58][1280/11272] Time 0.743 (0.796) Data 0.002 (0.004) Loss 2.0621 (1.9979) Prec@1 45.625 (48.390) Prec@5 79.375 (78.742) Epoch: [58][1290/11272] Time 0.824 (0.796) Data 0.001 (0.004) Loss 1.9879 (1.9980) Prec@1 48.125 (48.404) Prec@5 79.375 (78.739) Epoch: [58][1300/11272] Time 0.833 (0.796) Data 0.001 (0.004) Loss 2.0577 (1.9982) Prec@1 45.625 (48.395) Prec@5 77.500 (78.735) Epoch: [58][1310/11272] Time 0.764 (0.796) Data 0.002 (0.004) Loss 2.0380 (1.9979) Prec@1 41.875 (48.401) Prec@5 82.500 (78.742) Epoch: [58][1320/11272] Time 0.742 (0.796) Data 0.002 (0.004) Loss 1.8442 (1.9979) Prec@1 52.500 (48.394) Prec@5 78.125 (78.747) Epoch: [58][1330/11272] Time 0.878 (0.796) Data 0.002 (0.004) Loss 1.7430 (1.9974) Prec@1 55.000 (48.407) Prec@5 82.500 (78.757) Epoch: [58][1340/11272] Time 0.919 (0.796) Data 0.002 (0.004) Loss 2.0232 (1.9974) Prec@1 51.250 (48.407) Prec@5 77.500 (78.758) Epoch: [58][1350/11272] Time 0.755 (0.796) Data 0.002 (0.004) Loss 2.0806 (1.9975) Prec@1 48.750 (48.405) Prec@5 78.750 (78.752) Epoch: [58][1360/11272] Time 0.748 (0.796) Data 0.002 (0.004) Loss 2.0049 (1.9970) Prec@1 47.500 (48.412) Prec@5 80.625 (78.766) Epoch: [58][1370/11272] Time 0.854 (0.797) Data 0.001 (0.004) Loss 1.9525 (1.9969) Prec@1 49.375 (48.409) Prec@5 80.000 (78.768) Epoch: [58][1380/11272] Time 0.880 (0.796) Data 0.001 (0.004) Loss 2.0253 (1.9968) Prec@1 51.250 (48.414) Prec@5 76.250 (78.772) Epoch: [58][1390/11272] Time 0.734 (0.797) Data 0.001 (0.004) Loss 1.8713 (1.9969) Prec@1 47.500 (48.401) Prec@5 80.000 (78.769) Epoch: [58][1400/11272] Time 0.893 (0.797) Data 0.002 (0.004) Loss 1.9638 (1.9970) Prec@1 48.125 (48.398) Prec@5 80.000 (78.767) Epoch: [58][1410/11272] Time 0.868 (0.797) Data 0.002 (0.004) Loss 1.9799 (1.9967) Prec@1 46.250 (48.408) Prec@5 79.375 (78.776) Epoch: [58][1420/11272] Time 0.740 (0.797) Data 0.002 (0.004) Loss 1.7844 (1.9970) Prec@1 55.000 (48.404) Prec@5 80.625 (78.765) Epoch: [58][1430/11272] Time 0.751 (0.797) Data 0.002 (0.004) Loss 1.8634 (1.9972) Prec@1 58.125 (48.412) Prec@5 83.750 (78.759) Epoch: [58][1440/11272] Time 0.892 (0.797) Data 0.001 (0.004) Loss 1.8273 (1.9974) Prec@1 53.125 (48.406) Prec@5 78.750 (78.754) Epoch: [58][1450/11272] Time 0.865 (0.797) Data 0.001 (0.004) Loss 1.8491 (1.9977) Prec@1 54.375 (48.405) Prec@5 82.500 (78.747) Epoch: [58][1460/11272] Time 0.726 (0.797) Data 0.001 (0.004) Loss 2.1009 (1.9980) Prec@1 47.500 (48.393) Prec@5 73.125 (78.742) Epoch: [58][1470/11272] Time 0.732 (0.797) Data 0.002 (0.004) Loss 1.8027 (1.9978) Prec@1 58.125 (48.393) Prec@5 82.500 (78.743) Epoch: [58][1480/11272] Time 0.867 (0.797) Data 0.002 (0.004) Loss 2.0498 (1.9981) Prec@1 44.375 (48.382) Prec@5 75.625 (78.734) Epoch: [58][1490/11272] Time 0.877 (0.797) Data 0.002 (0.004) Loss 2.0217 (1.9977) Prec@1 49.375 (48.401) Prec@5 78.125 (78.739) Epoch: [58][1500/11272] Time 0.746 (0.797) Data 0.002 (0.004) Loss 1.8701 (1.9975) Prec@1 53.125 (48.409) Prec@5 83.750 (78.741) Epoch: [58][1510/11272] Time 0.741 (0.797) Data 0.002 (0.004) Loss 1.8660 (1.9973) Prec@1 50.000 (48.405) Prec@5 76.250 (78.744) Epoch: [58][1520/11272] Time 0.844 (0.797) Data 0.002 (0.004) Loss 1.6535 (1.9968) Prec@1 56.875 (48.414) Prec@5 86.250 (78.757) Epoch: [58][1530/11272] Time 0.735 (0.797) Data 0.001 (0.004) Loss 1.9191 (1.9970) Prec@1 48.125 (48.411) Prec@5 80.000 (78.755) Epoch: [58][1540/11272] Time 0.779 (0.798) Data 0.002 (0.004) Loss 1.8208 (1.9969) Prec@1 50.000 (48.408) Prec@5 84.375 (78.758) Epoch: [58][1550/11272] Time 0.845 (0.798) Data 0.001 (0.004) Loss 2.0830 (1.9967) Prec@1 49.375 (48.414) Prec@5 76.250 (78.751) Epoch: [58][1560/11272] Time 0.872 (0.798) Data 0.002 (0.004) Loss 1.8601 (1.9966) Prec@1 54.375 (48.413) Prec@5 78.750 (78.747) Epoch: [58][1570/11272] Time 0.726 (0.798) Data 0.002 (0.004) Loss 1.8453 (1.9965) Prec@1 50.625 (48.412) Prec@5 80.625 (78.754) Epoch: [58][1580/11272] Time 0.747 (0.798) Data 0.002 (0.004) Loss 2.1690 (1.9963) Prec@1 40.625 (48.420) Prec@5 76.875 (78.754) Epoch: [58][1590/11272] Time 0.877 (0.798) Data 0.002 (0.003) Loss 1.9263 (1.9964) Prec@1 53.125 (48.422) Prec@5 76.875 (78.750) Epoch: [58][1600/11272] Time 0.841 (0.798) Data 0.002 (0.003) Loss 1.9847 (1.9965) Prec@1 49.375 (48.422) Prec@5 81.875 (78.754) Epoch: [58][1610/11272] Time 0.730 (0.798) Data 0.001 (0.003) Loss 2.0155 (1.9970) Prec@1 44.375 (48.405) Prec@5 76.250 (78.737) Epoch: [58][1620/11272] Time 0.753 (0.798) Data 0.003 (0.003) Loss 1.9278 (1.9966) Prec@1 51.250 (48.415) Prec@5 80.625 (78.744) Epoch: [58][1630/11272] Time 0.867 (0.798) Data 0.002 (0.003) Loss 1.8140 (1.9964) Prec@1 46.875 (48.412) Prec@5 83.125 (78.746) Epoch: [58][1640/11272] Time 0.893 (0.798) Data 0.002 (0.003) Loss 2.2921 (1.9968) Prec@1 46.250 (48.407) Prec@5 76.875 (78.740) Epoch: [58][1650/11272] Time 0.724 (0.798) Data 0.002 (0.003) Loss 2.0412 (1.9970) Prec@1 45.000 (48.412) Prec@5 76.875 (78.738) Epoch: [58][1660/11272] Time 0.837 (0.798) Data 0.002 (0.003) Loss 1.8108 (1.9971) Prec@1 53.750 (48.411) Prec@5 83.125 (78.733) Epoch: [58][1670/11272] Time 0.869 (0.798) Data 0.002 (0.003) Loss 1.9330 (1.9972) Prec@1 50.000 (48.411) Prec@5 77.500 (78.729) Epoch: [58][1680/11272] Time 0.728 (0.798) Data 0.001 (0.003) Loss 1.9324 (1.9977) Prec@1 48.750 (48.390) Prec@5 83.750 (78.728) Epoch: [58][1690/11272] Time 0.760 (0.798) Data 0.001 (0.003) Loss 2.0881 (1.9980) Prec@1 41.875 (48.387) Prec@5 78.125 (78.724) Epoch: [58][1700/11272] Time 0.836 (0.798) Data 0.002 (0.003) Loss 1.8132 (1.9976) Prec@1 56.250 (48.389) Prec@5 79.375 (78.729) Epoch: [58][1710/11272] Time 0.851 (0.798) Data 0.001 (0.003) Loss 2.2079 (1.9973) Prec@1 48.750 (48.387) Prec@5 76.250 (78.734) Epoch: [58][1720/11272] Time 0.757 (0.798) Data 0.002 (0.003) Loss 2.1721 (1.9970) Prec@1 45.625 (48.398) Prec@5 74.375 (78.737) Epoch: [58][1730/11272] Time 0.726 (0.798) Data 0.002 (0.003) Loss 1.8717 (1.9966) Prec@1 48.750 (48.402) Prec@5 84.375 (78.744) Epoch: [58][1740/11272] Time 0.834 (0.798) Data 0.001 (0.003) Loss 1.9631 (1.9967) Prec@1 51.875 (48.396) Prec@5 80.625 (78.744) Epoch: [58][1750/11272] Time 0.916 (0.798) Data 0.002 (0.003) Loss 1.8617 (1.9967) Prec@1 48.125 (48.394) Prec@5 78.125 (78.745) Epoch: [58][1760/11272] Time 0.729 (0.798) Data 0.001 (0.003) Loss 2.0297 (1.9966) Prec@1 50.625 (48.398) Prec@5 76.875 (78.747) Epoch: [58][1770/11272] Time 0.723 (0.798) Data 0.002 (0.003) Loss 2.0510 (1.9967) Prec@1 43.125 (48.387) Prec@5 79.375 (78.744) Epoch: [58][1780/11272] Time 0.863 (0.798) Data 0.002 (0.003) Loss 1.9810 (1.9967) Prec@1 53.750 (48.393) Prec@5 76.875 (78.742) Epoch: [58][1790/11272] Time 0.735 (0.798) Data 0.004 (0.003) Loss 2.1140 (1.9963) Prec@1 44.375 (48.391) Prec@5 79.375 (78.752) Epoch: [58][1800/11272] Time 0.762 (0.798) Data 0.002 (0.003) Loss 2.0079 (1.9965) Prec@1 45.000 (48.382) Prec@5 77.500 (78.744) Epoch: [58][1810/11272] Time 0.852 (0.798) Data 0.002 (0.003) Loss 2.1598 (1.9969) Prec@1 41.875 (48.372) Prec@5 76.250 (78.737) Epoch: [58][1820/11272] Time 0.830 (0.798) Data 0.002 (0.003) Loss 1.9334 (1.9974) Prec@1 48.750 (48.369) Prec@5 76.875 (78.725) Epoch: [58][1830/11272] Time 0.751 (0.798) Data 0.002 (0.003) Loss 2.0889 (1.9976) Prec@1 50.625 (48.366) Prec@5 73.750 (78.721) Epoch: [58][1840/11272] Time 0.762 (0.798) Data 0.002 (0.003) Loss 1.8508 (1.9972) Prec@1 53.750 (48.377) Prec@5 78.750 (78.726) Epoch: [58][1850/11272] Time 0.829 (0.799) Data 0.001 (0.003) Loss 1.7361 (1.9970) Prec@1 52.500 (48.377) Prec@5 82.500 (78.727) Epoch: [58][1860/11272] Time 0.862 (0.799) Data 0.002 (0.003) Loss 1.9098 (1.9970) Prec@1 49.375 (48.377) Prec@5 81.875 (78.730) Epoch: [58][1870/11272] Time 0.747 (0.798) Data 0.002 (0.003) Loss 2.2568 (1.9976) Prec@1 38.125 (48.350) Prec@5 70.625 (78.719) Epoch: [58][1880/11272] Time 0.753 (0.798) Data 0.002 (0.003) Loss 1.9839 (1.9976) Prec@1 48.750 (48.353) Prec@5 81.250 (78.717) Epoch: [58][1890/11272] Time 0.868 (0.799) Data 0.002 (0.003) Loss 2.1910 (1.9975) Prec@1 50.000 (48.354) Prec@5 76.875 (78.721) Epoch: [58][1900/11272] Time 0.847 (0.799) Data 0.002 (0.003) Loss 1.8657 (1.9976) Prec@1 53.750 (48.350) Prec@5 80.625 (78.720) Epoch: [58][1910/11272] Time 0.772 (0.799) Data 0.002 (0.003) Loss 2.2197 (1.9980) Prec@1 43.125 (48.344) Prec@5 75.625 (78.718) Epoch: [58][1920/11272] Time 0.845 (0.799) Data 0.002 (0.003) Loss 1.8836 (1.9981) Prec@1 49.375 (48.345) Prec@5 82.500 (78.717) Epoch: [58][1930/11272] Time 0.847 (0.799) Data 0.002 (0.003) Loss 1.8216 (1.9983) Prec@1 49.375 (48.338) Prec@5 83.750 (78.715) Epoch: [58][1940/11272] Time 0.740 (0.799) Data 0.002 (0.003) Loss 1.7662 (1.9980) Prec@1 51.250 (48.338) Prec@5 84.375 (78.721) Epoch: [58][1950/11272] Time 0.710 (0.799) Data 0.002 (0.003) Loss 1.8180 (1.9978) Prec@1 50.000 (48.339) Prec@5 80.625 (78.725) Epoch: [58][1960/11272] Time 0.851 (0.799) Data 0.002 (0.003) Loss 1.8862 (1.9978) Prec@1 53.750 (48.342) Prec@5 77.500 (78.722) Epoch: [58][1970/11272] Time 0.852 (0.799) Data 0.002 (0.003) Loss 2.0345 (1.9978) Prec@1 46.875 (48.336) Prec@5 78.125 (78.719) Epoch: [58][1980/11272] Time 0.736 (0.799) Data 0.002 (0.003) Loss 1.8434 (1.9974) Prec@1 48.125 (48.347) Prec@5 83.125 (78.731) Epoch: [58][1990/11272] Time 0.707 (0.799) Data 0.001 (0.003) Loss 1.9499 (1.9977) Prec@1 53.125 (48.346) Prec@5 80.000 (78.724) Epoch: [58][2000/11272] Time 0.850 (0.799) Data 0.002 (0.003) Loss 1.8084 (1.9975) Prec@1 53.750 (48.347) Prec@5 79.375 (78.720) Epoch: [58][2010/11272] Time 0.879 (0.799) Data 0.002 (0.003) Loss 1.9815 (1.9974) Prec@1 45.625 (48.347) Prec@5 78.125 (78.724) Epoch: [58][2020/11272] Time 0.737 (0.799) Data 0.002 (0.003) Loss 1.7602 (1.9975) Prec@1 54.375 (48.350) Prec@5 81.250 (78.718) Epoch: [58][2030/11272] Time 0.731 (0.799) Data 0.002 (0.003) Loss 2.3750 (1.9977) Prec@1 40.625 (48.345) Prec@5 71.250 (78.713) Epoch: [58][2040/11272] Time 0.892 (0.799) Data 0.002 (0.003) Loss 2.0222 (1.9980) Prec@1 48.750 (48.343) Prec@5 78.750 (78.709) Epoch: [58][2050/11272] Time 0.727 (0.799) Data 0.003 (0.003) Loss 2.1434 (1.9980) Prec@1 48.750 (48.356) Prec@5 78.125 (78.716) Epoch: [58][2060/11272] Time 0.731 (0.799) Data 0.002 (0.003) Loss 2.0052 (1.9983) Prec@1 45.000 (48.345) Prec@5 74.375 (78.712) Epoch: [58][2070/11272] Time 0.815 (0.799) Data 0.002 (0.003) Loss 2.2113 (1.9986) Prec@1 50.625 (48.340) Prec@5 73.750 (78.706) Epoch: [58][2080/11272] Time 0.906 (0.799) Data 0.002 (0.003) Loss 1.9293 (1.9985) Prec@1 50.625 (48.343) Prec@5 78.750 (78.709) Epoch: [58][2090/11272] Time 0.756 (0.799) Data 0.002 (0.003) Loss 1.9550 (1.9982) Prec@1 49.375 (48.354) Prec@5 77.500 (78.714) Epoch: [58][2100/11272] Time 0.736 (0.799) Data 0.002 (0.003) Loss 2.1693 (1.9986) Prec@1 46.875 (48.343) Prec@5 75.000 (78.704) Epoch: [58][2110/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 1.8909 (1.9987) Prec@1 50.000 (48.337) Prec@5 81.250 (78.702) Epoch: [58][2120/11272] Time 0.926 (0.799) Data 0.002 (0.003) Loss 2.2363 (1.9989) Prec@1 46.250 (48.334) Prec@5 75.625 (78.703) Epoch: [58][2130/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 2.0155 (1.9991) Prec@1 46.875 (48.329) Prec@5 81.250 (78.703) Epoch: [58][2140/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 2.0811 (1.9992) Prec@1 40.000 (48.320) Prec@5 76.875 (78.697) Epoch: [58][2150/11272] Time 0.836 (0.799) Data 0.002 (0.003) Loss 2.0956 (1.9992) Prec@1 44.375 (48.317) Prec@5 78.750 (78.698) Epoch: [58][2160/11272] Time 0.875 (0.799) Data 0.001 (0.003) Loss 2.1553 (1.9992) Prec@1 51.875 (48.318) Prec@5 76.875 (78.700) Epoch: [58][2170/11272] Time 0.736 (0.799) Data 0.002 (0.003) Loss 1.9703 (1.9990) Prec@1 46.250 (48.325) Prec@5 77.500 (78.705) Epoch: [58][2180/11272] Time 0.926 (0.800) Data 0.002 (0.003) Loss 1.8052 (1.9988) Prec@1 51.875 (48.326) Prec@5 80.625 (78.707) Epoch: [58][2190/11272] Time 0.910 (0.800) Data 0.002 (0.003) Loss 1.7205 (1.9989) Prec@1 48.750 (48.330) Prec@5 85.000 (78.701) Epoch: [58][2200/11272] Time 0.726 (0.800) Data 0.001 (0.003) Loss 1.6950 (1.9987) Prec@1 60.000 (48.340) Prec@5 79.375 (78.701) Epoch: [58][2210/11272] Time 0.745 (0.800) Data 0.003 (0.003) Loss 1.9158 (1.9987) Prec@1 50.625 (48.344) Prec@5 76.875 (78.698) Epoch: [58][2220/11272] Time 0.873 (0.800) Data 0.002 (0.003) Loss 2.0660 (1.9988) Prec@1 46.250 (48.341) Prec@5 79.375 (78.698) Epoch: [58][2230/11272] Time 0.819 (0.800) Data 0.002 (0.003) Loss 2.1245 (1.9986) Prec@1 49.375 (48.348) Prec@5 81.250 (78.698) Epoch: [58][2240/11272] Time 0.725 (0.800) Data 0.002 (0.003) Loss 1.8890 (1.9986) Prec@1 51.250 (48.345) Prec@5 81.250 (78.697) Epoch: [58][2250/11272] Time 0.736 (0.800) Data 0.002 (0.003) Loss 1.9415 (1.9990) Prec@1 47.500 (48.336) Prec@5 78.125 (78.692) Epoch: [58][2260/11272] Time 0.848 (0.800) Data 0.001 (0.003) Loss 2.0631 (1.9993) Prec@1 46.875 (48.333) Prec@5 74.375 (78.688) Epoch: [58][2270/11272] Time 0.853 (0.800) Data 0.002 (0.003) Loss 2.1102 (1.9994) Prec@1 45.625 (48.337) Prec@5 76.875 (78.682) Epoch: [58][2280/11272] Time 0.746 (0.800) Data 0.002 (0.003) Loss 2.2084 (1.9994) Prec@1 45.625 (48.332) Prec@5 75.000 (78.680) Epoch: [58][2290/11272] Time 0.735 (0.800) Data 0.002 (0.003) Loss 1.8354 (1.9994) Prec@1 48.125 (48.334) Prec@5 83.750 (78.681) Epoch: [58][2300/11272] Time 0.827 (0.800) Data 0.002 (0.003) Loss 2.1951 (1.9995) Prec@1 43.750 (48.329) Prec@5 74.375 (78.683) Epoch: [58][2310/11272] Time 0.814 (0.800) Data 0.002 (0.003) Loss 1.8580 (1.9993) Prec@1 50.000 (48.331) Prec@5 82.500 (78.686) Epoch: [58][2320/11272] Time 0.720 (0.800) Data 0.001 (0.003) Loss 1.9234 (1.9994) Prec@1 50.000 (48.331) Prec@5 77.500 (78.679) Epoch: [58][2330/11272] Time 0.884 (0.800) Data 0.002 (0.003) Loss 2.0543 (1.9996) Prec@1 43.125 (48.324) Prec@5 81.250 (78.677) Epoch: [58][2340/11272] Time 0.846 (0.800) Data 0.001 (0.003) Loss 2.2073 (1.9996) Prec@1 48.125 (48.325) Prec@5 73.750 (78.682) Epoch: [58][2350/11272] Time 0.731 (0.800) Data 0.002 (0.003) Loss 2.1675 (1.9997) Prec@1 45.000 (48.324) Prec@5 75.625 (78.680) Epoch: [58][2360/11272] Time 0.782 (0.800) Data 0.002 (0.003) Loss 2.0111 (1.9995) Prec@1 46.875 (48.329) Prec@5 74.375 (78.677) Epoch: [58][2370/11272] Time 0.872 (0.800) Data 0.002 (0.003) Loss 1.8121 (1.9995) Prec@1 51.875 (48.334) Prec@5 81.875 (78.676) Epoch: [58][2380/11272] Time 0.826 (0.800) Data 0.002 (0.003) Loss 2.0583 (1.9995) Prec@1 45.000 (48.329) Prec@5 77.500 (78.676) Epoch: [58][2390/11272] Time 0.744 (0.800) Data 0.002 (0.003) Loss 2.0611 (1.9998) Prec@1 45.625 (48.319) Prec@5 76.875 (78.671) Epoch: [58][2400/11272] Time 0.741 (0.800) Data 0.002 (0.003) Loss 2.1414 (1.9999) Prec@1 46.250 (48.319) Prec@5 76.250 (78.668) Epoch: [58][2410/11272] Time 0.893 (0.800) Data 0.002 (0.003) Loss 1.7875 (1.9999) Prec@1 55.000 (48.325) Prec@5 78.125 (78.664) Epoch: [58][2420/11272] Time 0.899 (0.800) Data 0.003 (0.003) Loss 1.7914 (1.9998) Prec@1 54.375 (48.325) Prec@5 82.500 (78.665) Epoch: [58][2430/11272] Time 0.758 (0.800) Data 0.002 (0.003) Loss 1.8457 (1.9999) Prec@1 50.000 (48.326) Prec@5 78.125 (78.660) Epoch: [58][2440/11272] Time 0.734 (0.800) Data 0.002 (0.003) Loss 1.8780 (1.9999) Prec@1 51.250 (48.327) Prec@5 78.125 (78.656) Epoch: [58][2450/11272] Time 0.876 (0.800) Data 0.002 (0.003) Loss 1.9898 (1.9999) Prec@1 48.125 (48.323) Prec@5 82.500 (78.661) Epoch: [58][2460/11272] Time 0.743 (0.800) Data 0.003 (0.003) Loss 1.9973 (2.0002) Prec@1 53.125 (48.320) Prec@5 76.250 (78.655) Epoch: [58][2470/11272] Time 0.730 (0.800) Data 0.002 (0.003) Loss 1.9382 (2.0000) Prec@1 51.250 (48.320) Prec@5 84.375 (78.664) Epoch: [58][2480/11272] Time 0.850 (0.800) Data 0.002 (0.003) Loss 2.0314 (2.0001) Prec@1 47.500 (48.319) Prec@5 78.750 (78.662) Epoch: [58][2490/11272] Time 0.897 (0.800) Data 0.002 (0.003) Loss 1.7831 (1.9998) Prec@1 53.750 (48.326) Prec@5 81.875 (78.668) Epoch: [58][2500/11272] Time 0.745 (0.800) Data 0.002 (0.003) Loss 1.9369 (1.9999) Prec@1 51.250 (48.325) Prec@5 79.375 (78.664) Epoch: [58][2510/11272] Time 0.781 (0.801) Data 0.001 (0.003) Loss 2.0499 (2.0001) Prec@1 48.750 (48.321) Prec@5 75.625 (78.654) Epoch: [58][2520/11272] Time 0.886 (0.801) Data 0.002 (0.003) Loss 1.8986 (2.0003) Prec@1 50.625 (48.315) Prec@5 79.375 (78.649) Epoch: [58][2530/11272] Time 0.881 (0.801) Data 0.002 (0.003) Loss 2.1867 (2.0005) Prec@1 44.375 (48.316) Prec@5 73.125 (78.644) Epoch: [58][2540/11272] Time 0.738 (0.801) Data 0.002 (0.003) Loss 1.9069 (2.0006) Prec@1 48.750 (48.310) Prec@5 82.500 (78.640) Epoch: [58][2550/11272] Time 0.784 (0.801) Data 0.002 (0.003) Loss 2.1538 (2.0008) Prec@1 42.500 (48.305) Prec@5 78.125 (78.634) Epoch: [58][2560/11272] Time 0.856 (0.801) Data 0.002 (0.003) Loss 2.2135 (2.0007) Prec@1 47.500 (48.313) Prec@5 76.250 (78.637) Epoch: [58][2570/11272] Time 0.837 (0.801) Data 0.001 (0.003) Loss 1.8165 (2.0005) Prec@1 55.625 (48.317) Prec@5 85.000 (78.639) Epoch: [58][2580/11272] Time 0.746 (0.801) Data 0.002 (0.003) Loss 2.2485 (2.0007) Prec@1 43.125 (48.312) Prec@5 75.000 (78.634) Epoch: [58][2590/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 2.1241 (2.0010) Prec@1 42.500 (48.306) Prec@5 74.375 (78.626) Epoch: [58][2600/11272] Time 0.852 (0.801) Data 0.002 (0.003) Loss 2.1913 (2.0010) Prec@1 44.375 (48.301) Prec@5 73.125 (78.626) Epoch: [58][2610/11272] Time 0.769 (0.801) Data 0.002 (0.003) Loss 2.1464 (2.0010) Prec@1 46.250 (48.295) Prec@5 71.875 (78.625) Epoch: [58][2620/11272] Time 0.782 (0.801) Data 0.002 (0.003) Loss 2.0544 (2.0010) Prec@1 51.875 (48.295) Prec@5 80.000 (78.630) Epoch: [58][2630/11272] Time 0.817 (0.801) Data 0.001 (0.003) Loss 1.9901 (2.0011) Prec@1 49.375 (48.289) Prec@5 74.375 (78.625) Epoch: [58][2640/11272] Time 0.836 (0.801) Data 0.002 (0.003) Loss 1.7896 (2.0012) Prec@1 49.375 (48.281) Prec@5 83.750 (78.629) Epoch: [58][2650/11272] Time 0.742 (0.801) Data 0.002 (0.003) Loss 2.1501 (2.0015) Prec@1 43.750 (48.276) Prec@5 78.125 (78.626) Epoch: [58][2660/11272] Time 0.734 (0.801) Data 0.002 (0.003) Loss 2.2222 (2.0017) Prec@1 40.000 (48.269) Prec@5 74.375 (78.621) Epoch: [58][2670/11272] Time 0.863 (0.801) Data 0.002 (0.003) Loss 1.8315 (2.0012) Prec@1 53.125 (48.279) Prec@5 83.125 (78.632) Epoch: [58][2680/11272] Time 0.827 (0.801) Data 0.002 (0.003) Loss 2.3031 (2.0014) Prec@1 41.875 (48.271) Prec@5 73.125 (78.632) Epoch: [58][2690/11272] Time 0.756 (0.801) Data 0.002 (0.003) Loss 1.8536 (2.0016) Prec@1 47.500 (48.263) Prec@5 80.625 (78.632) Epoch: [58][2700/11272] Time 0.747 (0.801) Data 0.001 (0.003) Loss 2.0340 (2.0017) Prec@1 51.250 (48.263) Prec@5 79.375 (78.627) Epoch: [58][2710/11272] Time 0.877 (0.801) Data 0.002 (0.003) Loss 2.1441 (2.0017) Prec@1 46.250 (48.267) Prec@5 75.000 (78.627) Epoch: [58][2720/11272] Time 0.763 (0.801) Data 0.003 (0.003) Loss 1.9179 (2.0019) Prec@1 50.625 (48.264) Prec@5 79.375 (78.622) Epoch: [58][2730/11272] Time 0.750 (0.801) Data 0.002 (0.003) Loss 1.9064 (2.0018) Prec@1 42.500 (48.260) Prec@5 81.875 (78.620) Epoch: [58][2740/11272] Time 0.850 (0.801) Data 0.002 (0.003) Loss 2.1336 (2.0016) Prec@1 45.625 (48.268) Prec@5 76.250 (78.624) Epoch: [58][2750/11272] Time 0.846 (0.801) Data 0.003 (0.003) Loss 2.0757 (2.0018) Prec@1 43.125 (48.257) Prec@5 76.875 (78.622) Epoch: [58][2760/11272] Time 0.733 (0.801) Data 0.002 (0.003) Loss 2.0168 (2.0020) Prec@1 49.375 (48.255) Prec@5 78.750 (78.618) Epoch: [58][2770/11272] Time 0.744 (0.801) Data 0.002 (0.003) Loss 2.0664 (2.0018) Prec@1 46.875 (48.259) Prec@5 74.375 (78.619) Epoch: [58][2780/11272] Time 0.814 (0.801) Data 0.002 (0.003) Loss 2.1460 (2.0020) Prec@1 45.000 (48.253) Prec@5 75.000 (78.612) Epoch: [58][2790/11272] Time 0.834 (0.801) Data 0.001 (0.003) Loss 1.6612 (2.0020) Prec@1 58.750 (48.252) Prec@5 84.375 (78.610) Epoch: [58][2800/11272] Time 0.726 (0.801) Data 0.002 (0.003) Loss 1.8327 (2.0020) Prec@1 55.000 (48.253) Prec@5 80.625 (78.608) Epoch: [58][2810/11272] Time 0.736 (0.801) Data 0.002 (0.003) Loss 1.6101 (2.0018) Prec@1 58.125 (48.258) Prec@5 83.750 (78.609) Epoch: [58][2820/11272] Time 0.853 (0.801) Data 0.002 (0.003) Loss 2.1473 (2.0020) Prec@1 51.875 (48.260) Prec@5 76.250 (78.603) Epoch: [58][2830/11272] Time 0.831 (0.801) Data 0.002 (0.003) Loss 2.0271 (2.0020) Prec@1 50.625 (48.259) Prec@5 80.000 (78.602) Epoch: [58][2840/11272] Time 0.756 (0.801) Data 0.002 (0.003) Loss 1.8468 (2.0022) Prec@1 53.125 (48.256) Prec@5 77.500 (78.599) Epoch: [58][2850/11272] Time 0.835 (0.801) Data 0.001 (0.003) Loss 2.3749 (2.0024) Prec@1 40.000 (48.254) Prec@5 71.875 (78.594) Epoch: [58][2860/11272] Time 0.831 (0.801) Data 0.002 (0.003) Loss 2.1775 (2.0021) Prec@1 48.750 (48.257) Prec@5 77.500 (78.599) Epoch: [58][2870/11272] Time 0.748 (0.801) Data 0.001 (0.003) Loss 1.9602 (2.0023) Prec@1 48.750 (48.253) Prec@5 82.500 (78.597) Epoch: [58][2880/11272] Time 0.750 (0.801) Data 0.002 (0.003) Loss 2.2128 (2.0024) Prec@1 43.125 (48.250) Prec@5 71.875 (78.593) Epoch: [58][2890/11272] Time 0.847 (0.801) Data 0.002 (0.003) Loss 1.9721 (2.0022) Prec@1 48.750 (48.255) Prec@5 79.375 (78.598) Epoch: [58][2900/11272] Time 0.862 (0.801) Data 0.001 (0.003) Loss 1.8866 (2.0021) Prec@1 48.750 (48.257) Prec@5 80.000 (78.598) Epoch: [58][2910/11272] Time 0.771 (0.801) Data 0.002 (0.003) Loss 2.2222 (2.0021) Prec@1 46.875 (48.259) Prec@5 72.500 (78.598) Epoch: [58][2920/11272] Time 0.758 (0.801) Data 0.002 (0.003) Loss 2.2718 (2.0022) Prec@1 44.375 (48.255) Prec@5 75.000 (78.595) Epoch: [58][2930/11272] Time 0.836 (0.801) Data 0.001 (0.003) Loss 2.1117 (2.0025) Prec@1 45.000 (48.251) Prec@5 75.000 (78.589) Epoch: [58][2940/11272] Time 0.838 (0.801) Data 0.002 (0.003) Loss 1.8651 (2.0024) Prec@1 46.875 (48.251) Prec@5 82.500 (78.592) Epoch: [58][2950/11272] Time 0.732 (0.801) Data 0.002 (0.003) Loss 1.9016 (2.0023) Prec@1 50.000 (48.248) Prec@5 79.375 (78.595) Epoch: [58][2960/11272] Time 0.721 (0.801) Data 0.002 (0.003) Loss 1.9978 (2.0024) Prec@1 48.125 (48.246) Prec@5 78.750 (78.591) Epoch: [58][2970/11272] Time 0.878 (0.801) Data 0.002 (0.003) Loss 1.9947 (2.0024) Prec@1 52.500 (48.244) Prec@5 79.375 (78.590) Epoch: [58][2980/11272] Time 0.729 (0.801) Data 0.004 (0.003) Loss 2.0168 (2.0024) Prec@1 48.125 (48.248) Prec@5 79.375 (78.593) Epoch: [58][2990/11272] Time 0.724 (0.801) Data 0.002 (0.003) Loss 2.0090 (2.0024) Prec@1 46.250 (48.248) Prec@5 78.750 (78.592) Epoch: [58][3000/11272] Time 0.844 (0.801) Data 0.002 (0.003) Loss 2.0412 (2.0025) Prec@1 49.375 (48.243) Prec@5 75.625 (78.586) Epoch: [58][3010/11272] Time 0.865 (0.801) Data 0.003 (0.003) Loss 2.0105 (2.0028) Prec@1 46.250 (48.242) Prec@5 79.375 (78.581) Epoch: [58][3020/11272] Time 0.740 (0.801) Data 0.002 (0.003) Loss 2.0549 (2.0028) Prec@1 48.750 (48.240) Prec@5 77.500 (78.577) Epoch: [58][3030/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 2.0901 (2.0028) Prec@1 45.625 (48.235) Prec@5 75.625 (78.580) Epoch: [58][3040/11272] Time 0.882 (0.801) Data 0.002 (0.003) Loss 2.1210 (2.0030) Prec@1 41.250 (48.234) Prec@5 76.250 (78.578) Epoch: [58][3050/11272] Time 0.898 (0.801) Data 0.002 (0.003) Loss 2.2309 (2.0033) Prec@1 45.625 (48.226) Prec@5 76.875 (78.572) Epoch: [58][3060/11272] Time 0.753 (0.801) Data 0.002 (0.003) Loss 2.1669 (2.0032) Prec@1 46.250 (48.229) Prec@5 74.375 (78.575) Epoch: [58][3070/11272] Time 0.732 (0.801) Data 0.001 (0.003) Loss 2.1270 (2.0034) Prec@1 43.125 (48.227) Prec@5 76.250 (78.567) Epoch: [58][3080/11272] Time 0.843 (0.801) Data 0.001 (0.003) Loss 2.1127 (2.0036) Prec@1 45.625 (48.222) Prec@5 73.750 (78.559) Epoch: [58][3090/11272] Time 0.878 (0.801) Data 0.001 (0.003) Loss 1.8732 (2.0036) Prec@1 51.875 (48.221) Prec@5 78.750 (78.560) Epoch: [58][3100/11272] Time 0.775 (0.801) Data 0.002 (0.003) Loss 2.0395 (2.0036) Prec@1 46.875 (48.214) Prec@5 82.500 (78.567) Epoch: [58][3110/11272] Time 0.884 (0.801) Data 0.002 (0.003) Loss 1.7591 (2.0034) Prec@1 52.500 (48.218) Prec@5 82.500 (78.570) Epoch: [58][3120/11272] Time 0.838 (0.801) Data 0.001 (0.003) Loss 1.8024 (2.0034) Prec@1 50.625 (48.217) Prec@5 82.500 (78.574) Epoch: [58][3130/11272] Time 0.712 (0.801) Data 0.001 (0.003) Loss 2.0661 (2.0035) Prec@1 43.750 (48.212) Prec@5 76.875 (78.573) Epoch: [58][3140/11272] Time 0.737 (0.801) Data 0.001 (0.003) Loss 1.9192 (2.0034) Prec@1 53.125 (48.214) Prec@5 81.875 (78.576) Epoch: [58][3150/11272] Time 0.862 (0.801) Data 0.002 (0.003) Loss 1.7923 (2.0034) Prec@1 56.250 (48.216) Prec@5 80.000 (78.574) Epoch: [58][3160/11272] Time 0.820 (0.801) Data 0.002 (0.003) Loss 2.0019 (2.0037) Prec@1 48.125 (48.206) Prec@5 77.500 (78.570) Epoch: [58][3170/11272] Time 0.713 (0.801) Data 0.001 (0.003) Loss 2.0725 (2.0035) Prec@1 45.625 (48.211) Prec@5 80.000 (78.574) Epoch: [58][3180/11272] Time 0.771 (0.801) Data 0.002 (0.003) Loss 1.9390 (2.0036) Prec@1 48.750 (48.207) Prec@5 81.250 (78.574) Epoch: [58][3190/11272] Time 0.819 (0.801) Data 0.002 (0.003) Loss 1.9259 (2.0034) Prec@1 49.375 (48.212) Prec@5 80.625 (78.575) Epoch: [58][3200/11272] Time 0.890 (0.801) Data 0.002 (0.003) Loss 2.1830 (2.0037) Prec@1 44.375 (48.209) Prec@5 76.250 (78.569) Epoch: [58][3210/11272] Time 0.739 (0.801) Data 0.001 (0.003) Loss 1.9744 (2.0037) Prec@1 47.500 (48.208) Prec@5 76.250 (78.569) Epoch: [58][3220/11272] Time 0.718 (0.801) Data 0.002 (0.003) Loss 1.9709 (2.0040) Prec@1 46.875 (48.204) Prec@5 79.375 (78.562) Epoch: [58][3230/11272] Time 0.860 (0.801) Data 0.002 (0.003) Loss 1.8875 (2.0040) Prec@1 48.750 (48.200) Prec@5 81.250 (78.561) Epoch: [58][3240/11272] Time 0.842 (0.801) Data 0.002 (0.003) Loss 1.9984 (2.0040) Prec@1 46.875 (48.198) Prec@5 78.750 (78.561) Epoch: [58][3250/11272] Time 0.733 (0.801) Data 0.002 (0.003) Loss 2.2429 (2.0040) Prec@1 45.625 (48.196) Prec@5 77.500 (78.562) Epoch: [58][3260/11272] Time 0.865 (0.801) Data 0.002 (0.003) Loss 2.1802 (2.0043) Prec@1 48.125 (48.193) Prec@5 76.250 (78.559) Epoch: [58][3270/11272] Time 0.853 (0.801) Data 0.002 (0.003) Loss 1.9187 (2.0041) Prec@1 51.250 (48.194) Prec@5 78.125 (78.562) Epoch: [58][3280/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.1083 (2.0043) Prec@1 43.125 (48.189) Prec@5 75.000 (78.557) Epoch: [58][3290/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 1.9716 (2.0043) Prec@1 48.125 (48.191) Prec@5 81.250 (78.557) Epoch: [58][3300/11272] Time 0.867 (0.801) Data 0.002 (0.003) Loss 2.0265 (2.0046) Prec@1 46.875 (48.183) Prec@5 79.375 (78.554) Epoch: [58][3310/11272] Time 0.852 (0.801) Data 0.002 (0.003) Loss 1.8509 (2.0044) Prec@1 45.000 (48.184) Prec@5 85.000 (78.560) Epoch: [58][3320/11272] Time 0.767 (0.801) Data 0.002 (0.003) Loss 2.1406 (2.0043) Prec@1 44.375 (48.185) Prec@5 77.500 (78.562) Epoch: [58][3330/11272] Time 0.750 (0.801) Data 0.002 (0.003) Loss 2.1581 (2.0046) Prec@1 44.375 (48.178) Prec@5 78.125 (78.558) Epoch: [58][3340/11272] Time 0.864 (0.801) Data 0.002 (0.003) Loss 2.2378 (2.0047) Prec@1 43.125 (48.174) Prec@5 76.250 (78.558) Epoch: [58][3350/11272] Time 0.852 (0.801) Data 0.001 (0.003) Loss 2.1185 (2.0047) Prec@1 48.750 (48.173) Prec@5 75.625 (78.561) Epoch: [58][3360/11272] Time 0.730 (0.801) Data 0.002 (0.003) Loss 1.9554 (2.0046) Prec@1 53.125 (48.172) Prec@5 81.875 (78.562) Epoch: [58][3370/11272] Time 0.727 (0.801) Data 0.002 (0.003) Loss 1.8424 (2.0042) Prec@1 53.750 (48.184) Prec@5 82.500 (78.570) Epoch: [58][3380/11272] Time 0.931 (0.801) Data 0.002 (0.003) Loss 1.8122 (2.0040) Prec@1 52.500 (48.190) Prec@5 81.250 (78.571) Epoch: [58][3390/11272] Time 0.757 (0.801) Data 0.001 (0.003) Loss 2.1970 (2.0040) Prec@1 46.875 (48.195) Prec@5 76.875 (78.571) Epoch: [58][3400/11272] Time 0.736 (0.801) Data 0.002 (0.003) Loss 1.9919 (2.0039) Prec@1 48.125 (48.198) Prec@5 80.625 (78.575) Epoch: [58][3410/11272] Time 0.834 (0.801) Data 0.002 (0.003) Loss 2.1216 (2.0039) Prec@1 46.250 (48.197) Prec@5 77.500 (78.575) Epoch: [58][3420/11272] Time 0.827 (0.801) Data 0.002 (0.003) Loss 2.0777 (2.0040) Prec@1 48.125 (48.191) Prec@5 73.750 (78.573) Epoch: [58][3430/11272] Time 0.736 (0.801) Data 0.002 (0.003) Loss 1.8699 (2.0040) Prec@1 49.375 (48.190) Prec@5 80.625 (78.570) Epoch: [58][3440/11272] Time 0.749 (0.801) Data 0.002 (0.003) Loss 2.0758 (2.0041) Prec@1 46.250 (48.183) Prec@5 78.125 (78.571) Epoch: [58][3450/11272] Time 0.928 (0.801) Data 0.001 (0.003) Loss 1.9138 (2.0040) Prec@1 50.625 (48.185) Prec@5 78.750 (78.571) Epoch: [58][3460/11272] Time 0.854 (0.801) Data 0.002 (0.003) Loss 2.0530 (2.0041) Prec@1 41.250 (48.183) Prec@5 78.125 (78.569) Epoch: [58][3470/11272] Time 0.737 (0.801) Data 0.002 (0.003) Loss 2.2144 (2.0041) Prec@1 48.750 (48.187) Prec@5 71.875 (78.569) Epoch: [58][3480/11272] Time 0.724 (0.801) Data 0.002 (0.003) Loss 1.9288 (2.0040) Prec@1 48.750 (48.188) Prec@5 82.500 (78.571) Epoch: [58][3490/11272] Time 0.929 (0.801) Data 0.002 (0.003) Loss 1.9206 (2.0039) Prec@1 53.125 (48.189) Prec@5 78.750 (78.572) Epoch: [58][3500/11272] Time 0.828 (0.801) Data 0.002 (0.003) Loss 2.1228 (2.0036) Prec@1 45.000 (48.197) Prec@5 78.125 (78.575) Epoch: [58][3510/11272] Time 0.747 (0.801) Data 0.002 (0.003) Loss 1.7755 (2.0036) Prec@1 48.750 (48.195) Prec@5 82.500 (78.575) Epoch: [58][3520/11272] Time 0.897 (0.801) Data 0.002 (0.003) Loss 2.0642 (2.0037) Prec@1 48.125 (48.194) Prec@5 79.375 (78.575) Epoch: [58][3530/11272] Time 0.866 (0.801) Data 0.002 (0.003) Loss 1.9877 (2.0039) Prec@1 46.875 (48.192) Prec@5 79.375 (78.573) Epoch: [58][3540/11272] Time 0.762 (0.801) Data 0.001 (0.003) Loss 1.9635 (2.0038) Prec@1 46.875 (48.194) Prec@5 78.125 (78.576) Epoch: [58][3550/11272] Time 0.728 (0.801) Data 0.002 (0.003) Loss 2.1846 (2.0042) Prec@1 45.625 (48.190) Prec@5 75.000 (78.570) Epoch: [58][3560/11272] Time 0.896 (0.801) Data 0.002 (0.003) Loss 2.0012 (2.0042) Prec@1 48.750 (48.191) Prec@5 77.500 (78.567) Epoch: [58][3570/11272] Time 0.891 (0.801) Data 0.002 (0.003) Loss 2.2441 (2.0044) Prec@1 50.000 (48.194) Prec@5 71.875 (78.562) Epoch: [58][3580/11272] Time 0.729 (0.801) Data 0.002 (0.003) Loss 1.8306 (2.0042) Prec@1 48.750 (48.193) Prec@5 81.250 (78.563) Epoch: [58][3590/11272] Time 0.755 (0.801) Data 0.002 (0.003) Loss 2.1722 (2.0044) Prec@1 40.625 (48.190) Prec@5 73.125 (78.557) Epoch: [58][3600/11272] Time 0.868 (0.801) Data 0.001 (0.003) Loss 1.9467 (2.0043) Prec@1 48.750 (48.192) Prec@5 81.250 (78.560) Epoch: [58][3610/11272] Time 0.819 (0.801) Data 0.002 (0.003) Loss 1.8402 (2.0042) Prec@1 54.375 (48.193) Prec@5 80.000 (78.558) Epoch: [58][3620/11272] Time 0.732 (0.801) Data 0.002 (0.003) Loss 2.0340 (2.0043) Prec@1 50.625 (48.187) Prec@5 76.250 (78.557) Epoch: [58][3630/11272] Time 0.709 (0.801) Data 0.002 (0.003) Loss 1.9035 (2.0044) Prec@1 52.500 (48.189) Prec@5 79.375 (78.555) Epoch: [58][3640/11272] Time 0.886 (0.801) Data 0.002 (0.003) Loss 2.3158 (2.0044) Prec@1 40.625 (48.184) Prec@5 73.750 (78.554) Epoch: [58][3650/11272] Time 0.749 (0.801) Data 0.003 (0.003) Loss 2.1288 (2.0045) Prec@1 46.250 (48.181) Prec@5 74.375 (78.554) Epoch: [58][3660/11272] Time 0.722 (0.801) Data 0.001 (0.003) Loss 2.0945 (2.0047) Prec@1 43.125 (48.177) Prec@5 77.500 (78.550) Epoch: [58][3670/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 1.8810 (2.0049) Prec@1 49.375 (48.172) Prec@5 83.125 (78.546) Epoch: [58][3680/11272] Time 0.814 (0.801) Data 0.002 (0.002) Loss 1.9289 (2.0049) Prec@1 49.375 (48.174) Prec@5 78.125 (78.550) Epoch: [58][3690/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 2.0326 (2.0048) Prec@1 52.500 (48.175) Prec@5 75.000 (78.547) Epoch: [58][3700/11272] Time 0.793 (0.801) Data 0.002 (0.002) Loss 2.0628 (2.0050) Prec@1 46.250 (48.169) Prec@5 76.250 (78.546) Epoch: [58][3710/11272] Time 0.817 (0.801) Data 0.001 (0.002) Loss 2.0080 (2.0050) Prec@1 48.750 (48.170) Prec@5 81.250 (78.544) Epoch: [58][3720/11272] Time 0.925 (0.801) Data 0.002 (0.002) Loss 1.9381 (2.0050) Prec@1 49.375 (48.170) Prec@5 78.125 (78.543) Epoch: [58][3730/11272] Time 0.796 (0.801) Data 0.003 (0.002) Loss 2.0683 (2.0050) Prec@1 45.000 (48.168) Prec@5 76.875 (78.543) Epoch: [58][3740/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 2.1438 (2.0050) Prec@1 48.125 (48.172) Prec@5 73.750 (78.542) Epoch: [58][3750/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 1.9898 (2.0051) Prec@1 48.125 (48.170) Prec@5 77.500 (78.542) Epoch: [58][3760/11272] Time 0.832 (0.801) Data 0.001 (0.002) Loss 1.9925 (2.0050) Prec@1 45.625 (48.169) Prec@5 78.750 (78.546) Epoch: [58][3770/11272] Time 0.717 (0.801) Data 0.001 (0.002) Loss 2.0418 (2.0051) Prec@1 50.625 (48.170) Prec@5 76.250 (78.544) Epoch: [58][3780/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.7814 (2.0050) Prec@1 55.625 (48.170) Prec@5 83.125 (78.546) Epoch: [58][3790/11272] Time 0.880 (0.801) Data 0.002 (0.002) Loss 2.0587 (2.0051) Prec@1 50.625 (48.171) Prec@5 78.750 (78.544) Epoch: [58][3800/11272] Time 0.793 (0.801) Data 0.001 (0.002) Loss 1.9937 (2.0052) Prec@1 48.125 (48.171) Prec@5 78.750 (78.542) Epoch: [58][3810/11272] Time 0.749 (0.801) Data 0.001 (0.002) Loss 2.0762 (2.0052) Prec@1 45.625 (48.172) Prec@5 75.625 (78.544) Epoch: [58][3820/11272] Time 0.884 (0.801) Data 0.002 (0.002) Loss 1.9280 (2.0052) Prec@1 47.500 (48.168) Prec@5 83.125 (78.543) Epoch: [58][3830/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 1.9236 (2.0052) Prec@1 48.750 (48.169) Prec@5 80.000 (78.544) Epoch: [58][3840/11272] Time 0.744 (0.801) Data 0.001 (0.002) Loss 2.0631 (2.0054) Prec@1 47.500 (48.167) Prec@5 77.500 (78.541) Epoch: [58][3850/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 1.9968 (2.0054) Prec@1 47.500 (48.165) Prec@5 78.750 (78.543) Epoch: [58][3860/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 1.9490 (2.0055) Prec@1 45.000 (48.164) Prec@5 83.750 (78.542) Epoch: [58][3870/11272] Time 0.874 (0.801) Data 0.002 (0.002) Loss 1.9566 (2.0056) Prec@1 52.500 (48.163) Prec@5 81.250 (78.540) Epoch: [58][3880/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 2.0863 (2.0056) Prec@1 51.875 (48.164) Prec@5 76.250 (78.538) Epoch: [58][3890/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 2.1137 (2.0058) Prec@1 48.125 (48.161) Prec@5 74.375 (78.535) Epoch: [58][3900/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 1.9868 (2.0058) Prec@1 55.625 (48.165) Prec@5 78.125 (78.536) Epoch: [58][3910/11272] Time 0.734 (0.801) Data 0.005 (0.002) Loss 2.0438 (2.0058) Prec@1 45.000 (48.164) Prec@5 76.250 (78.538) Epoch: [58][3920/11272] Time 0.762 (0.801) Data 0.002 (0.002) Loss 1.9677 (2.0058) Prec@1 50.625 (48.162) Prec@5 79.375 (78.538) Epoch: [58][3930/11272] Time 0.827 (0.801) Data 0.001 (0.002) Loss 1.8488 (2.0056) Prec@1 51.250 (48.165) Prec@5 78.750 (78.540) Epoch: [58][3940/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 2.2230 (2.0056) Prec@1 40.625 (48.164) Prec@5 74.375 (78.538) Epoch: [58][3950/11272] Time 0.713 (0.801) Data 0.002 (0.002) Loss 1.9208 (2.0058) Prec@1 46.250 (48.159) Prec@5 77.500 (78.536) Epoch: [58][3960/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.1723 (2.0059) Prec@1 47.500 (48.155) Prec@5 74.375 (78.535) Epoch: [58][3970/11272] Time 0.890 (0.801) Data 0.001 (0.002) Loss 1.8367 (2.0058) Prec@1 49.375 (48.157) Prec@5 80.000 (78.537) Epoch: [58][3980/11272] Time 0.857 (0.801) Data 0.003 (0.002) Loss 1.7000 (2.0059) Prec@1 55.625 (48.160) Prec@5 83.750 (78.538) Epoch: [58][3990/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 2.1637 (2.0059) Prec@1 50.625 (48.158) Prec@5 75.625 (78.535) Epoch: [58][4000/11272] Time 0.753 (0.801) Data 0.002 (0.002) Loss 1.8366 (2.0059) Prec@1 50.000 (48.154) Prec@5 86.250 (78.540) Epoch: [58][4010/11272] Time 0.904 (0.801) Data 0.002 (0.002) Loss 2.3082 (2.0058) Prec@1 45.000 (48.157) Prec@5 76.875 (78.542) Epoch: [58][4020/11272] Time 0.809 (0.801) Data 0.001 (0.002) Loss 2.0386 (2.0059) Prec@1 47.500 (48.158) Prec@5 76.875 (78.541) Epoch: [58][4030/11272] Time 0.756 (0.801) Data 0.001 (0.002) Loss 1.9317 (2.0060) Prec@1 49.375 (48.156) Prec@5 79.375 (78.539) Epoch: [58][4040/11272] Time 0.836 (0.801) Data 0.002 (0.002) Loss 2.0211 (2.0062) Prec@1 50.000 (48.154) Prec@5 77.500 (78.536) Epoch: [58][4050/11272] Time 0.882 (0.801) Data 0.001 (0.002) Loss 2.0633 (2.0062) Prec@1 47.500 (48.154) Prec@5 76.875 (78.536) Epoch: [58][4060/11272] Time 0.772 (0.801) Data 0.002 (0.002) Loss 2.2328 (2.0063) Prec@1 43.750 (48.148) Prec@5 72.500 (78.532) Epoch: [58][4070/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.1374 (2.0062) Prec@1 46.250 (48.146) Prec@5 75.625 (78.530) Epoch: [58][4080/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 1.8501 (2.0061) Prec@1 49.375 (48.149) Prec@5 80.000 (78.534) Epoch: [58][4090/11272] Time 0.868 (0.801) Data 0.002 (0.002) Loss 2.2272 (2.0062) Prec@1 43.750 (48.146) Prec@5 75.625 (78.530) Epoch: [58][4100/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 2.2419 (2.0063) Prec@1 41.250 (48.143) Prec@5 73.750 (78.531) Epoch: [58][4110/11272] Time 0.722 (0.801) Data 0.002 (0.002) Loss 2.2753 (2.0063) Prec@1 40.625 (48.142) Prec@5 75.000 (78.529) Epoch: [58][4120/11272] Time 0.843 (0.801) Data 0.001 (0.002) Loss 2.5156 (2.0064) Prec@1 39.375 (48.141) Prec@5 66.875 (78.526) Epoch: [58][4130/11272] Time 0.858 (0.801) Data 0.002 (0.002) Loss 1.9890 (2.0065) Prec@1 53.125 (48.142) Prec@5 80.000 (78.525) Epoch: [58][4140/11272] Time 0.735 (0.801) Data 0.002 (0.002) Loss 1.8014 (2.0067) Prec@1 50.000 (48.139) Prec@5 85.000 (78.524) Epoch: [58][4150/11272] Time 0.741 (0.801) Data 0.002 (0.002) Loss 1.7733 (2.0063) Prec@1 57.500 (48.146) Prec@5 83.750 (78.529) Epoch: [58][4160/11272] Time 0.864 (0.801) Data 0.002 (0.002) Loss 2.3146 (2.0065) Prec@1 42.500 (48.143) Prec@5 73.125 (78.523) Epoch: [58][4170/11272] Time 0.797 (0.801) Data 0.001 (0.002) Loss 2.0522 (2.0068) Prec@1 42.500 (48.138) Prec@5 78.750 (78.517) Epoch: [58][4180/11272] Time 0.725 (0.801) Data 0.002 (0.002) Loss 2.0401 (2.0068) Prec@1 51.875 (48.140) Prec@5 76.875 (78.518) Epoch: [58][4190/11272] Time 0.830 (0.801) Data 0.002 (0.002) Loss 2.0530 (2.0069) Prec@1 44.375 (48.136) Prec@5 73.750 (78.514) Epoch: [58][4200/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 1.9132 (2.0069) Prec@1 44.375 (48.136) Prec@5 81.875 (78.515) Epoch: [58][4210/11272] Time 0.778 (0.801) Data 0.002 (0.002) Loss 2.3153 (2.0069) Prec@1 38.750 (48.136) Prec@5 71.875 (78.514) Epoch: [58][4220/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 2.1510 (2.0072) Prec@1 50.000 (48.133) Prec@5 71.250 (78.505) Epoch: [58][4230/11272] Time 0.858 (0.801) Data 0.002 (0.002) Loss 2.3143 (2.0072) Prec@1 46.875 (48.135) Prec@5 72.500 (78.503) Epoch: [58][4240/11272] Time 0.878 (0.801) Data 0.001 (0.002) Loss 1.9958 (2.0071) Prec@1 49.375 (48.138) Prec@5 78.750 (78.503) Epoch: [58][4250/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 2.0313 (2.0069) Prec@1 44.375 (48.139) Prec@5 78.125 (78.507) Epoch: [58][4260/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.9288 (2.0070) Prec@1 49.375 (48.138) Prec@5 78.750 (78.504) Epoch: [58][4270/11272] Time 0.908 (0.801) Data 0.002 (0.002) Loss 1.9975 (2.0071) Prec@1 47.500 (48.136) Prec@5 80.625 (78.504) Epoch: [58][4280/11272] Time 0.870 (0.801) Data 0.001 (0.002) Loss 2.1285 (2.0070) Prec@1 40.000 (48.137) Prec@5 76.875 (78.506) Epoch: [58][4290/11272] Time 0.732 (0.801) Data 0.001 (0.002) Loss 1.9198 (2.0069) Prec@1 53.125 (48.137) Prec@5 80.000 (78.511) Epoch: [58][4300/11272] Time 0.770 (0.801) Data 0.002 (0.002) Loss 1.9696 (2.0069) Prec@1 50.625 (48.132) Prec@5 78.750 (78.510) Epoch: [58][4310/11272] Time 0.890 (0.801) Data 0.002 (0.002) Loss 1.9673 (2.0068) Prec@1 48.125 (48.135) Prec@5 80.000 (78.511) Epoch: [58][4320/11272] Time 0.740 (0.801) Data 0.001 (0.002) Loss 2.2008 (2.0068) Prec@1 41.250 (48.132) Prec@5 75.625 (78.514) Epoch: [58][4330/11272] Time 0.715 (0.801) Data 0.001 (0.002) Loss 2.0229 (2.0069) Prec@1 46.875 (48.131) Prec@5 78.750 (78.513) Epoch: [58][4340/11272] Time 0.823 (0.801) Data 0.001 (0.002) Loss 2.1539 (2.0069) Prec@1 44.375 (48.129) Prec@5 71.875 (78.514) Epoch: [58][4350/11272] Time 0.895 (0.801) Data 0.002 (0.002) Loss 1.9561 (2.0070) Prec@1 48.125 (48.132) Prec@5 79.375 (78.512) Epoch: [58][4360/11272] Time 0.719 (0.801) Data 0.002 (0.002) Loss 1.7903 (2.0068) Prec@1 51.875 (48.136) Prec@5 80.625 (78.516) Epoch: [58][4370/11272] Time 0.749 (0.801) Data 0.002 (0.002) Loss 1.8346 (2.0067) Prec@1 48.125 (48.140) Prec@5 83.125 (78.518) Epoch: [58][4380/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 2.1448 (2.0070) Prec@1 46.250 (48.135) Prec@5 75.625 (78.512) Epoch: [58][4390/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 1.8759 (2.0072) Prec@1 53.750 (48.132) Prec@5 79.375 (78.511) Epoch: [58][4400/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 1.8457 (2.0071) Prec@1 53.750 (48.132) Prec@5 81.250 (78.512) Epoch: [58][4410/11272] Time 0.745 (0.801) Data 0.001 (0.002) Loss 1.8345 (2.0072) Prec@1 51.875 (48.137) Prec@5 81.250 (78.512) Epoch: [58][4420/11272] Time 0.819 (0.801) Data 0.001 (0.002) Loss 2.0918 (2.0074) Prec@1 47.500 (48.132) Prec@5 79.375 (78.507) Epoch: [58][4430/11272] Time 0.859 (0.801) Data 0.002 (0.002) Loss 2.0472 (2.0074) Prec@1 46.875 (48.132) Prec@5 76.875 (78.506) Epoch: [58][4440/11272] Time 0.737 (0.801) Data 0.001 (0.002) Loss 1.6424 (2.0073) Prec@1 54.375 (48.134) Prec@5 84.375 (78.507) Epoch: [58][4450/11272] Time 0.870 (0.801) Data 0.002 (0.002) Loss 1.9367 (2.0073) Prec@1 54.375 (48.136) Prec@5 77.500 (78.505) Epoch: [58][4460/11272] Time 0.846 (0.801) Data 0.002 (0.002) Loss 2.0301 (2.0074) Prec@1 50.625 (48.137) Prec@5 76.250 (78.502) Epoch: [58][4470/11272] Time 0.720 (0.801) Data 0.002 (0.002) Loss 2.0594 (2.0074) Prec@1 45.000 (48.139) Prec@5 78.750 (78.500) Epoch: [58][4480/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 2.0725 (2.0075) Prec@1 46.250 (48.138) Prec@5 75.625 (78.496) Epoch: [58][4490/11272] Time 0.845 (0.801) Data 0.002 (0.002) Loss 2.1318 (2.0076) Prec@1 45.625 (48.137) Prec@5 76.250 (78.495) Epoch: [58][4500/11272] Time 0.873 (0.801) Data 0.002 (0.002) Loss 1.9776 (2.0076) Prec@1 51.250 (48.134) Prec@5 78.125 (78.495) Epoch: [58][4510/11272] Time 0.759 (0.801) Data 0.002 (0.002) Loss 2.1162 (2.0077) Prec@1 45.000 (48.133) Prec@5 73.125 (78.490) Epoch: [58][4520/11272] Time 0.751 (0.801) Data 0.002 (0.002) Loss 2.2759 (2.0079) Prec@1 39.375 (48.131) Prec@5 72.500 (78.488) Epoch: [58][4530/11272] Time 0.891 (0.801) Data 0.002 (0.002) Loss 1.8747 (2.0078) Prec@1 51.250 (48.132) Prec@5 80.625 (78.491) Epoch: [58][4540/11272] Time 0.804 (0.801) Data 0.001 (0.002) Loss 1.9067 (2.0079) Prec@1 48.750 (48.129) Prec@5 75.625 (78.491) Epoch: [58][4550/11272] Time 0.780 (0.801) Data 0.002 (0.002) Loss 2.1594 (2.0080) Prec@1 48.750 (48.129) Prec@5 73.750 (78.489) Epoch: [58][4560/11272] Time 0.741 (0.801) Data 0.001 (0.002) Loss 1.9384 (2.0079) Prec@1 49.375 (48.125) Prec@5 76.250 (78.490) Epoch: [58][4570/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 1.8193 (2.0080) Prec@1 52.500 (48.126) Prec@5 83.750 (78.490) Epoch: [58][4580/11272] Time 0.736 (0.801) Data 0.003 (0.002) Loss 1.7655 (2.0080) Prec@1 56.250 (48.123) Prec@5 82.500 (78.492) Epoch: [58][4590/11272] Time 0.738 (0.801) Data 0.001 (0.002) Loss 1.5765 (2.0079) Prec@1 59.375 (48.126) Prec@5 85.000 (78.491) Epoch: [58][4600/11272] Time 0.887 (0.801) Data 0.002 (0.002) Loss 1.8570 (2.0080) Prec@1 52.500 (48.127) Prec@5 80.625 (78.489) Epoch: [58][4610/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 2.0940 (2.0080) Prec@1 45.625 (48.127) Prec@5 76.250 (78.487) Epoch: [58][4620/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 1.7556 (2.0081) Prec@1 55.625 (48.125) Prec@5 83.125 (78.489) Epoch: [58][4630/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 1.9089 (2.0080) Prec@1 48.750 (48.126) Prec@5 81.250 (78.490) Epoch: [58][4640/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 1.9229 (2.0078) Prec@1 50.625 (48.131) Prec@5 83.125 (78.491) Epoch: [58][4650/11272] Time 0.880 (0.801) Data 0.001 (0.002) Loss 1.8591 (2.0078) Prec@1 46.250 (48.129) Prec@5 83.125 (78.491) Epoch: [58][4660/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.8598 (2.0078) Prec@1 55.000 (48.129) Prec@5 82.500 (78.492) Epoch: [58][4670/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.0966 (2.0078) Prec@1 45.625 (48.127) Prec@5 77.500 (78.492) Epoch: [58][4680/11272] Time 0.846 (0.801) Data 0.002 (0.002) Loss 1.8450 (2.0078) Prec@1 51.875 (48.128) Prec@5 81.875 (78.491) Epoch: [58][4690/11272] Time 0.849 (0.801) Data 0.002 (0.002) Loss 2.0192 (2.0079) Prec@1 50.625 (48.130) Prec@5 76.875 (78.491) Epoch: [58][4700/11272] Time 0.721 (0.801) Data 0.002 (0.002) Loss 2.1346 (2.0078) Prec@1 46.250 (48.131) Prec@5 77.500 (78.490) Epoch: [58][4710/11272] Time 0.856 (0.801) Data 0.002 (0.002) Loss 1.9133 (2.0078) Prec@1 50.625 (48.130) Prec@5 83.750 (78.489) Epoch: [58][4720/11272] Time 0.873 (0.801) Data 0.002 (0.002) Loss 1.8562 (2.0077) Prec@1 45.000 (48.131) Prec@5 80.000 (78.491) Epoch: [58][4730/11272] Time 0.772 (0.801) Data 0.001 (0.002) Loss 1.7186 (2.0077) Prec@1 57.500 (48.131) Prec@5 82.500 (78.491) Epoch: [58][4740/11272] Time 0.775 (0.801) Data 0.002 (0.002) Loss 1.9337 (2.0076) Prec@1 50.625 (48.134) Prec@5 81.250 (78.494) Epoch: [58][4750/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 1.9297 (2.0077) Prec@1 53.125 (48.133) Prec@5 77.500 (78.494) Epoch: [58][4760/11272] Time 0.825 (0.801) Data 0.002 (0.002) Loss 1.9017 (2.0077) Prec@1 48.125 (48.129) Prec@5 77.500 (78.492) Epoch: [58][4770/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 2.0238 (2.0078) Prec@1 45.625 (48.126) Prec@5 81.875 (78.492) Epoch: [58][4780/11272] Time 0.756 (0.801) Data 0.002 (0.002) Loss 2.1608 (2.0079) Prec@1 45.625 (48.122) Prec@5 75.625 (78.490) Epoch: [58][4790/11272] Time 0.857 (0.801) Data 0.001 (0.002) Loss 1.8824 (2.0078) Prec@1 46.875 (48.119) Prec@5 79.375 (78.491) Epoch: [58][4800/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 1.9876 (2.0079) Prec@1 42.500 (48.114) Prec@5 78.750 (78.490) Epoch: [58][4810/11272] Time 0.715 (0.801) Data 0.002 (0.002) Loss 1.8676 (2.0078) Prec@1 49.375 (48.116) Prec@5 80.625 (78.490) Epoch: [58][4820/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 2.0426 (2.0079) Prec@1 45.625 (48.113) Prec@5 76.875 (78.488) Epoch: [58][4830/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 1.9815 (2.0078) Prec@1 48.125 (48.113) Prec@5 78.125 (78.490) Epoch: [58][4840/11272] Time 0.739 (0.801) Data 0.003 (0.002) Loss 2.2245 (2.0080) Prec@1 43.125 (48.104) Prec@5 72.500 (78.487) Epoch: [58][4850/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 2.0037 (2.0081) Prec@1 45.625 (48.103) Prec@5 76.875 (78.486) Epoch: [58][4860/11272] Time 0.827 (0.801) Data 0.002 (0.002) Loss 1.9110 (2.0080) Prec@1 51.250 (48.105) Prec@5 77.500 (78.490) Epoch: [58][4870/11272] Time 0.844 (0.801) Data 0.002 (0.002) Loss 1.9920 (2.0079) Prec@1 45.625 (48.108) Prec@5 78.750 (78.490) Epoch: [58][4880/11272] Time 0.787 (0.801) Data 0.002 (0.002) Loss 2.0933 (2.0080) Prec@1 40.625 (48.104) Prec@5 78.750 (78.488) Epoch: [58][4890/11272] Time 0.731 (0.801) Data 0.001 (0.002) Loss 2.2699 (2.0079) Prec@1 46.875 (48.107) Prec@5 73.125 (78.489) Epoch: [58][4900/11272] Time 0.868 (0.801) Data 0.001 (0.002) Loss 2.0974 (2.0078) Prec@1 46.250 (48.109) Prec@5 78.125 (78.494) Epoch: [58][4910/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 2.0395 (2.0078) Prec@1 48.750 (48.107) Prec@5 77.500 (78.494) Epoch: [58][4920/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 2.1043 (2.0077) Prec@1 50.000 (48.105) Prec@5 75.625 (78.497) Epoch: [58][4930/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 1.9748 (2.0078) Prec@1 51.250 (48.102) Prec@5 77.500 (78.496) Epoch: [58][4940/11272] Time 0.899 (0.801) Data 0.003 (0.002) Loss 2.0138 (2.0077) Prec@1 40.000 (48.101) Prec@5 80.625 (78.499) Epoch: [58][4950/11272] Time 0.893 (0.801) Data 0.002 (0.002) Loss 1.7847 (2.0075) Prec@1 52.500 (48.107) Prec@5 78.750 (78.503) Epoch: [58][4960/11272] Time 0.757 (0.801) Data 0.002 (0.002) Loss 1.8774 (2.0075) Prec@1 49.375 (48.107) Prec@5 82.500 (78.503) Epoch: [58][4970/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 2.0293 (2.0077) Prec@1 45.000 (48.101) Prec@5 80.000 (78.502) Epoch: [58][4980/11272] Time 0.850 (0.801) Data 0.001 (0.002) Loss 2.1993 (2.0077) Prec@1 46.875 (48.099) Prec@5 78.750 (78.504) Epoch: [58][4990/11272] Time 0.756 (0.801) Data 0.001 (0.002) Loss 2.0355 (2.0077) Prec@1 46.875 (48.100) Prec@5 78.125 (78.503) Epoch: [58][5000/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 1.9592 (2.0076) Prec@1 48.125 (48.101) Prec@5 79.375 (78.506) Epoch: [58][5010/11272] Time 0.810 (0.801) Data 0.001 (0.002) Loss 1.9002 (2.0076) Prec@1 43.125 (48.098) Prec@5 80.625 (78.505) Epoch: [58][5020/11272] Time 0.893 (0.801) Data 0.002 (0.002) Loss 1.9643 (2.0076) Prec@1 50.625 (48.101) Prec@5 80.000 (78.506) Epoch: [58][5030/11272] Time 0.752 (0.801) Data 0.002 (0.002) Loss 2.2187 (2.0076) Prec@1 45.000 (48.103) Prec@5 75.000 (78.504) Epoch: [58][5040/11272] Time 0.766 (0.801) Data 0.002 (0.002) Loss 1.8936 (2.0076) Prec@1 50.000 (48.104) Prec@5 81.250 (78.505) Epoch: [58][5050/11272] Time 0.841 (0.801) Data 0.002 (0.002) Loss 2.0586 (2.0077) Prec@1 44.375 (48.101) Prec@5 80.000 (78.504) Epoch: [58][5060/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 1.9215 (2.0076) Prec@1 51.875 (48.105) Prec@5 78.750 (78.506) Epoch: [58][5070/11272] Time 0.714 (0.801) Data 0.002 (0.002) Loss 1.8433 (2.0075) Prec@1 51.875 (48.104) Prec@5 80.625 (78.508) Epoch: [58][5080/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 2.3442 (2.0076) Prec@1 41.250 (48.103) Prec@5 73.750 (78.506) Epoch: [58][5090/11272] Time 0.870 (0.801) Data 0.001 (0.002) Loss 1.9429 (2.0076) Prec@1 47.500 (48.103) Prec@5 78.125 (78.505) Epoch: [58][5100/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 1.9281 (2.0076) Prec@1 46.250 (48.102) Prec@5 78.125 (78.505) Epoch: [58][5110/11272] Time 0.745 (0.802) Data 0.002 (0.002) Loss 1.9270 (2.0075) Prec@1 54.375 (48.104) Prec@5 77.500 (78.506) Epoch: [58][5120/11272] Time 0.875 (0.802) Data 0.001 (0.002) Loss 1.9271 (2.0075) Prec@1 49.375 (48.104) Prec@5 78.750 (78.506) Epoch: [58][5130/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 1.8927 (2.0074) Prec@1 55.000 (48.107) Prec@5 81.250 (78.507) Epoch: [58][5140/11272] Time 0.747 (0.802) Data 0.002 (0.002) Loss 2.0939 (2.0075) Prec@1 43.750 (48.104) Prec@5 78.750 (78.506) Epoch: [58][5150/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 2.1012 (2.0074) Prec@1 46.250 (48.107) Prec@5 78.125 (78.507) Epoch: [58][5160/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 2.0439 (2.0074) Prec@1 46.250 (48.107) Prec@5 81.250 (78.508) Epoch: [58][5170/11272] Time 0.884 (0.802) Data 0.003 (0.002) Loss 1.9597 (2.0074) Prec@1 47.500 (48.107) Prec@5 80.625 (78.506) Epoch: [58][5180/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 1.9288 (2.0074) Prec@1 50.625 (48.106) Prec@5 80.000 (78.507) Epoch: [58][5190/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 1.9304 (2.0074) Prec@1 45.000 (48.106) Prec@5 81.250 (78.509) Epoch: [58][5200/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.0851 (2.0074) Prec@1 47.500 (48.106) Prec@5 76.250 (78.510) Epoch: [58][5210/11272] Time 0.845 (0.802) Data 0.002 (0.002) Loss 1.9063 (2.0075) Prec@1 48.125 (48.106) Prec@5 81.875 (78.508) Epoch: [58][5220/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 1.9879 (2.0076) Prec@1 50.000 (48.103) Prec@5 81.250 (78.507) Epoch: [58][5230/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 2.1974 (2.0077) Prec@1 44.375 (48.102) Prec@5 74.375 (78.505) Epoch: [58][5240/11272] Time 0.911 (0.802) Data 0.001 (0.002) Loss 1.9294 (2.0076) Prec@1 49.375 (48.103) Prec@5 79.375 (78.505) Epoch: [58][5250/11272] Time 0.714 (0.802) Data 0.001 (0.002) Loss 1.6376 (2.0076) Prec@1 58.750 (48.104) Prec@5 81.875 (78.504) Epoch: [58][5260/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 2.0237 (2.0075) Prec@1 50.625 (48.104) Prec@5 76.250 (78.506) Epoch: [58][5270/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 1.9941 (2.0075) Prec@1 48.750 (48.102) Prec@5 80.000 (78.506) Epoch: [58][5280/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 1.6477 (2.0076) Prec@1 53.750 (48.098) Prec@5 83.125 (78.505) Epoch: [58][5290/11272] Time 0.787 (0.802) Data 0.002 (0.002) Loss 1.9772 (2.0076) Prec@1 48.750 (48.099) Prec@5 76.875 (78.503) Epoch: [58][5300/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 2.2791 (2.0077) Prec@1 39.375 (48.094) Prec@5 73.125 (78.500) Epoch: [58][5310/11272] Time 0.873 (0.802) Data 0.002 (0.002) Loss 2.2033 (2.0076) Prec@1 45.000 (48.096) Prec@5 74.375 (78.501) Epoch: [58][5320/11272] Time 0.845 (0.802) Data 0.001 (0.002) Loss 1.9580 (2.0076) Prec@1 45.000 (48.094) Prec@5 80.625 (78.500) Epoch: [58][5330/11272] Time 0.746 (0.802) Data 0.003 (0.002) Loss 1.8404 (2.0078) Prec@1 56.250 (48.089) Prec@5 83.125 (78.495) Epoch: [58][5340/11272] Time 0.719 (0.802) Data 0.002 (0.002) Loss 2.0629 (2.0078) Prec@1 46.875 (48.090) Prec@5 78.750 (78.496) Epoch: [58][5350/11272] Time 0.814 (0.802) Data 0.002 (0.002) Loss 2.1105 (2.0080) Prec@1 47.500 (48.088) Prec@5 78.750 (78.494) Epoch: [58][5360/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 1.9154 (2.0081) Prec@1 47.500 (48.086) Prec@5 77.500 (78.493) Epoch: [58][5370/11272] Time 0.712 (0.802) Data 0.001 (0.002) Loss 1.9920 (2.0081) Prec@1 48.125 (48.084) Prec@5 76.875 (78.494) Epoch: [58][5380/11272] Time 0.851 (0.802) Data 0.001 (0.002) Loss 1.9878 (2.0080) Prec@1 49.375 (48.084) Prec@5 78.750 (78.494) Epoch: [58][5390/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 1.9354 (2.0080) Prec@1 52.500 (48.083) Prec@5 81.875 (78.497) Epoch: [58][5400/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 1.9008 (2.0079) Prec@1 50.000 (48.089) Prec@5 76.875 (78.498) Epoch: [58][5410/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 1.8921 (2.0078) Prec@1 48.750 (48.091) Prec@5 79.375 (78.500) Epoch: [58][5420/11272] Time 0.935 (0.802) Data 0.001 (0.002) Loss 1.8616 (2.0077) Prec@1 47.500 (48.090) Prec@5 83.125 (78.504) Epoch: [58][5430/11272] Time 0.814 (0.802) Data 0.002 (0.002) Loss 2.0810 (2.0079) Prec@1 48.125 (48.085) Prec@5 76.875 (78.501) Epoch: [58][5440/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 2.1528 (2.0078) Prec@1 45.625 (48.086) Prec@5 74.375 (78.501) Epoch: [58][5450/11272] Time 0.751 (0.802) Data 0.002 (0.002) Loss 2.1458 (2.0077) Prec@1 45.000 (48.090) Prec@5 76.875 (78.503) Epoch: [58][5460/11272] Time 0.854 (0.802) Data 0.002 (0.002) Loss 2.3131 (2.0078) Prec@1 37.500 (48.089) Prec@5 75.625 (78.503) Epoch: [58][5470/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 2.1054 (2.0079) Prec@1 46.250 (48.084) Prec@5 77.500 (78.500) Epoch: [58][5480/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 2.2543 (2.0081) Prec@1 38.125 (48.079) Prec@5 77.500 (78.495) Epoch: [58][5490/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 2.1313 (2.0081) Prec@1 46.875 (48.080) Prec@5 76.250 (78.494) Epoch: [58][5500/11272] Time 0.894 (0.802) Data 0.002 (0.002) Loss 2.0193 (2.0081) Prec@1 45.000 (48.081) Prec@5 78.750 (78.493) Epoch: [58][5510/11272] Time 0.756 (0.802) Data 0.003 (0.002) Loss 2.0418 (2.0083) Prec@1 51.250 (48.078) Prec@5 77.500 (78.492) Epoch: [58][5520/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 1.7091 (2.0084) Prec@1 54.375 (48.074) Prec@5 81.875 (78.490) Epoch: [58][5530/11272] Time 0.875 (0.802) Data 0.004 (0.002) Loss 1.9282 (2.0084) Prec@1 44.375 (48.075) Prec@5 78.125 (78.491) Epoch: [58][5540/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 1.9112 (2.0084) Prec@1 49.375 (48.073) Prec@5 82.500 (78.492) Epoch: [58][5550/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 1.8070 (2.0084) Prec@1 52.500 (48.074) Prec@5 81.875 (78.491) Epoch: [58][5560/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 1.8405 (2.0085) Prec@1 51.875 (48.072) Prec@5 81.250 (78.489) Epoch: [58][5570/11272] Time 0.875 (0.802) Data 0.001 (0.002) Loss 2.2372 (2.0086) Prec@1 49.375 (48.071) Prec@5 75.625 (78.487) Epoch: [58][5580/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 1.7520 (2.0085) Prec@1 51.250 (48.073) Prec@5 82.500 (78.488) Epoch: [58][5590/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.7785 (2.0085) Prec@1 50.000 (48.070) Prec@5 86.250 (78.491) Epoch: [58][5600/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 1.9622 (2.0084) Prec@1 46.250 (48.073) Prec@5 78.125 (78.492) Epoch: [58][5610/11272] Time 0.853 (0.802) Data 0.001 (0.002) Loss 2.0340 (2.0083) Prec@1 45.000 (48.073) Prec@5 76.875 (78.494) Epoch: [58][5620/11272] Time 0.894 (0.802) Data 0.002 (0.002) Loss 2.0068 (2.0083) Prec@1 47.500 (48.074) Prec@5 80.625 (78.496) Epoch: [58][5630/11272] Time 0.775 (0.802) Data 0.001 (0.002) Loss 1.8971 (2.0084) Prec@1 50.000 (48.071) Prec@5 78.750 (78.494) Epoch: [58][5640/11272] Time 0.850 (0.802) Data 0.002 (0.002) Loss 2.1778 (2.0084) Prec@1 45.000 (48.071) Prec@5 78.125 (78.492) Epoch: [58][5650/11272] Time 0.844 (0.802) Data 0.002 (0.002) Loss 2.2278 (2.0084) Prec@1 44.375 (48.072) Prec@5 76.250 (78.492) Epoch: [58][5660/11272] Time 0.747 (0.802) Data 0.001 (0.002) Loss 2.0066 (2.0083) Prec@1 50.625 (48.074) Prec@5 78.125 (78.494) Epoch: [58][5670/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.9998 (2.0083) Prec@1 44.375 (48.074) Prec@5 80.000 (78.494) Epoch: [58][5680/11272] Time 0.831 (0.802) Data 0.001 (0.002) Loss 1.9078 (2.0083) Prec@1 52.500 (48.073) Prec@5 83.125 (78.494) Epoch: [58][5690/11272] Time 0.862 (0.802) Data 0.001 (0.002) Loss 2.3712 (2.0084) Prec@1 38.750 (48.069) Prec@5 72.500 (78.492) Epoch: [58][5700/11272] Time 0.754 (0.802) Data 0.003 (0.002) Loss 2.1521 (2.0085) Prec@1 49.375 (48.069) Prec@5 77.500 (78.491) Epoch: [58][5710/11272] Time 0.724 (0.802) Data 0.002 (0.002) Loss 1.6189 (2.0085) Prec@1 56.250 (48.068) Prec@5 86.250 (78.491) Epoch: [58][5720/11272] Time 0.839 (0.802) Data 0.001 (0.002) Loss 2.0360 (2.0085) Prec@1 48.750 (48.068) Prec@5 77.500 (78.491) Epoch: [58][5730/11272] Time 0.856 (0.802) Data 0.002 (0.002) Loss 1.7713 (2.0084) Prec@1 55.000 (48.070) Prec@5 80.625 (78.494) Epoch: [58][5740/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 1.7169 (2.0086) Prec@1 54.375 (48.067) Prec@5 83.125 (78.492) Epoch: [58][5750/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 1.8969 (2.0085) Prec@1 47.500 (48.067) Prec@5 80.000 (78.494) Epoch: [58][5760/11272] Time 0.891 (0.802) Data 0.002 (0.002) Loss 2.2513 (2.0085) Prec@1 44.375 (48.064) Prec@5 71.250 (78.494) Epoch: [58][5770/11272] Time 0.728 (0.802) Data 0.004 (0.002) Loss 2.2170 (2.0086) Prec@1 40.000 (48.060) Prec@5 75.625 (78.493) Epoch: [58][5780/11272] Time 0.751 (0.802) Data 0.002 (0.002) Loss 1.7578 (2.0086) Prec@1 53.125 (48.062) Prec@5 85.625 (78.493) Epoch: [58][5790/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.0093 (2.0086) Prec@1 43.750 (48.064) Prec@5 79.375 (78.493) Epoch: [58][5800/11272] Time 0.860 (0.802) Data 0.002 (0.002) Loss 2.0187 (2.0086) Prec@1 50.000 (48.064) Prec@5 78.750 (78.492) Epoch: [58][5810/11272] Time 0.762 (0.802) Data 0.002 (0.002) Loss 2.0566 (2.0086) Prec@1 46.875 (48.063) Prec@5 76.250 (78.493) Epoch: [58][5820/11272] Time 0.734 (0.802) Data 0.003 (0.002) Loss 1.9625 (2.0085) Prec@1 48.125 (48.065) Prec@5 82.500 (78.496) Epoch: [58][5830/11272] Time 0.909 (0.802) Data 0.002 (0.002) Loss 2.0936 (2.0085) Prec@1 46.875 (48.063) Prec@5 76.875 (78.494) Epoch: [58][5840/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 2.1734 (2.0086) Prec@1 45.000 (48.062) Prec@5 73.125 (78.494) Epoch: [58][5850/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 2.1633 (2.0086) Prec@1 42.500 (48.060) Prec@5 78.125 (78.496) Epoch: [58][5860/11272] Time 0.777 (0.802) Data 0.002 (0.002) Loss 1.7174 (2.0086) Prec@1 50.625 (48.062) Prec@5 83.125 (78.498) Epoch: [58][5870/11272] Time 0.967 (0.802) Data 0.002 (0.002) Loss 2.1814 (2.0087) Prec@1 43.750 (48.060) Prec@5 76.875 (78.496) Epoch: [58][5880/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 2.2756 (2.0088) Prec@1 43.125 (48.060) Prec@5 75.625 (78.493) Epoch: [58][5890/11272] Time 0.766 (0.802) Data 0.002 (0.002) Loss 2.2002 (2.0089) Prec@1 44.375 (48.060) Prec@5 72.500 (78.489) Epoch: [58][5900/11272] Time 0.835 (0.802) Data 0.002 (0.002) Loss 1.9520 (2.0091) Prec@1 52.500 (48.055) Prec@5 79.375 (78.485) Epoch: [58][5910/11272] Time 0.885 (0.802) Data 0.002 (0.002) Loss 2.0808 (2.0093) Prec@1 43.125 (48.050) Prec@5 79.375 (78.483) Epoch: [58][5920/11272] Time 0.781 (0.802) Data 0.003 (0.002) Loss 2.1894 (2.0094) Prec@1 46.875 (48.049) Prec@5 76.250 (78.482) Epoch: [58][5930/11272] Time 0.748 (0.802) Data 0.004 (0.002) Loss 1.9871 (2.0095) Prec@1 47.500 (48.048) Prec@5 77.500 (78.480) Epoch: [58][5940/11272] Time 0.833 (0.802) Data 0.002 (0.002) Loss 2.0307 (2.0094) Prec@1 50.625 (48.047) Prec@5 78.750 (78.483) Epoch: [58][5950/11272] Time 0.875 (0.802) Data 0.002 (0.002) Loss 2.0674 (2.0094) Prec@1 48.750 (48.048) Prec@5 79.375 (78.484) Epoch: [58][5960/11272] Time 0.797 (0.802) Data 0.002 (0.002) Loss 2.1773 (2.0094) Prec@1 46.875 (48.046) Prec@5 72.500 (78.483) Epoch: [58][5970/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 2.1507 (2.0095) Prec@1 46.875 (48.044) Prec@5 74.375 (78.483) Epoch: [58][5980/11272] Time 0.907 (0.802) Data 0.004 (0.002) Loss 2.0300 (2.0095) Prec@1 50.625 (48.044) Prec@5 75.625 (78.481) Epoch: [58][5990/11272] Time 0.892 (0.802) Data 0.002 (0.002) Loss 2.3295 (2.0096) Prec@1 41.250 (48.043) Prec@5 71.875 (78.478) Epoch: [58][6000/11272] Time 0.755 (0.802) Data 0.002 (0.002) Loss 1.9540 (2.0097) Prec@1 48.125 (48.040) Prec@5 78.750 (78.475) Epoch: [58][6010/11272] Time 0.748 (0.802) Data 0.002 (0.002) Loss 1.8468 (2.0097) Prec@1 51.250 (48.041) Prec@5 82.500 (78.476) Epoch: [58][6020/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 2.0675 (2.0097) Prec@1 44.375 (48.040) Prec@5 77.500 (78.476) Epoch: [58][6030/11272] Time 0.911 (0.802) Data 0.002 (0.002) Loss 1.9606 (2.0097) Prec@1 48.125 (48.039) Prec@5 80.000 (78.476) Epoch: [58][6040/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 2.0347 (2.0097) Prec@1 46.875 (48.041) Prec@5 78.750 (78.477) Epoch: [58][6050/11272] Time 0.892 (0.802) Data 0.002 (0.002) Loss 1.9047 (2.0097) Prec@1 48.125 (48.040) Prec@5 81.250 (78.476) Epoch: [58][6060/11272] Time 0.921 (0.802) Data 0.002 (0.002) Loss 2.0966 (2.0098) Prec@1 42.500 (48.036) Prec@5 75.000 (78.475) Epoch: [58][6070/11272] Time 0.737 (0.802) Data 0.002 (0.002) Loss 1.7813 (2.0098) Prec@1 51.250 (48.036) Prec@5 83.125 (78.476) Epoch: [58][6080/11272] Time 0.751 (0.802) Data 0.001 (0.002) Loss 2.1501 (2.0098) Prec@1 41.875 (48.035) Prec@5 76.250 (78.476) Epoch: [58][6090/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 1.8932 (2.0099) Prec@1 46.250 (48.029) Prec@5 82.500 (78.474) Epoch: [58][6100/11272] Time 0.911 (0.802) Data 0.003 (0.002) Loss 2.0206 (2.0099) Prec@1 43.125 (48.031) Prec@5 78.125 (78.474) Epoch: [58][6110/11272] Time 0.780 (0.802) Data 0.002 (0.002) Loss 2.1733 (2.0100) Prec@1 43.125 (48.027) Prec@5 76.875 (78.472) Epoch: [58][6120/11272] Time 0.747 (0.802) Data 0.002 (0.002) Loss 1.8908 (2.0101) Prec@1 45.625 (48.024) Prec@5 80.625 (78.470) Epoch: [58][6130/11272] Time 0.910 (0.802) Data 0.001 (0.002) Loss 2.0020 (2.0100) Prec@1 43.750 (48.024) Prec@5 78.750 (78.472) Epoch: [58][6140/11272] Time 0.932 (0.802) Data 0.002 (0.002) Loss 2.2666 (2.0101) Prec@1 43.125 (48.022) Prec@5 75.625 (78.470) Epoch: [58][6150/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 2.0334 (2.0102) Prec@1 46.875 (48.021) Prec@5 77.500 (78.467) Epoch: [58][6160/11272] Time 0.770 (0.803) Data 0.003 (0.002) Loss 1.9731 (2.0102) Prec@1 45.625 (48.018) Prec@5 81.250 (78.469) Epoch: [58][6170/11272] Time 0.878 (0.803) Data 0.002 (0.002) Loss 1.9269 (2.0101) Prec@1 50.000 (48.022) Prec@5 78.750 (78.470) Epoch: [58][6180/11272] Time 0.790 (0.803) Data 0.001 (0.002) Loss 1.9397 (2.0103) Prec@1 55.625 (48.021) Prec@5 75.000 (78.468) Epoch: [58][6190/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 1.9784 (2.0103) Prec@1 46.875 (48.022) Prec@5 75.625 (78.467) Epoch: [58][6200/11272] Time 0.858 (0.803) Data 0.002 (0.002) Loss 2.0054 (2.0103) Prec@1 43.750 (48.022) Prec@5 82.500 (78.467) Epoch: [58][6210/11272] Time 0.924 (0.803) Data 0.002 (0.002) Loss 1.8844 (2.0103) Prec@1 48.750 (48.019) Prec@5 78.125 (78.467) Epoch: [58][6220/11272] Time 0.757 (0.803) Data 0.002 (0.002) Loss 2.2111 (2.0104) Prec@1 42.500 (48.018) Prec@5 71.875 (78.465) Epoch: [58][6230/11272] Time 0.838 (0.803) Data 0.001 (0.002) Loss 2.0907 (2.0104) Prec@1 47.500 (48.015) Prec@5 74.375 (78.463) Epoch: [58][6240/11272] Time 0.879 (0.803) Data 0.001 (0.002) Loss 1.7835 (2.0105) Prec@1 52.500 (48.015) Prec@5 84.375 (78.463) Epoch: [58][6250/11272] Time 0.925 (0.803) Data 0.002 (0.002) Loss 1.9863 (2.0104) Prec@1 52.500 (48.019) Prec@5 79.375 (78.466) Epoch: [58][6260/11272] Time 0.734 (0.803) Data 0.001 (0.002) Loss 1.8175 (2.0103) Prec@1 52.500 (48.018) Prec@5 78.125 (78.469) Epoch: [58][6270/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 1.9556 (2.0103) Prec@1 51.875 (48.017) Prec@5 77.500 (78.469) Epoch: [58][6280/11272] Time 0.854 (0.803) Data 0.002 (0.002) Loss 2.1101 (2.0103) Prec@1 44.375 (48.016) Prec@5 76.250 (78.471) Epoch: [58][6290/11272] Time 0.821 (0.803) Data 0.001 (0.002) Loss 2.2212 (2.0102) Prec@1 43.750 (48.018) Prec@5 76.250 (78.470) Epoch: [58][6300/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 1.8345 (2.0102) Prec@1 52.500 (48.018) Prec@5 80.625 (78.468) Epoch: [58][6310/11272] Time 0.931 (0.803) Data 0.001 (0.002) Loss 2.1489 (2.0102) Prec@1 50.000 (48.018) Prec@5 74.375 (78.468) Epoch: [58][6320/11272] Time 0.859 (0.803) Data 0.002 (0.002) Loss 2.1080 (2.0104) Prec@1 44.375 (48.017) Prec@5 75.625 (78.467) Epoch: [58][6330/11272] Time 0.749 (0.803) Data 0.001 (0.002) Loss 2.0703 (2.0103) Prec@1 49.375 (48.021) Prec@5 81.250 (78.467) Epoch: [58][6340/11272] Time 0.766 (0.803) Data 0.002 (0.002) Loss 2.1102 (2.0103) Prec@1 43.125 (48.023) Prec@5 76.875 (78.468) Epoch: [58][6350/11272] Time 0.883 (0.803) Data 0.002 (0.002) Loss 1.9437 (2.0102) Prec@1 46.875 (48.026) Prec@5 83.125 (78.469) Epoch: [58][6360/11272] Time 0.900 (0.803) Data 0.002 (0.002) Loss 2.2421 (2.0104) Prec@1 45.625 (48.022) Prec@5 78.125 (78.467) Epoch: [58][6370/11272] Time 0.763 (0.803) Data 0.002 (0.002) Loss 2.0903 (2.0105) Prec@1 48.750 (48.021) Prec@5 76.250 (78.466) Epoch: [58][6380/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 1.8811 (2.0106) Prec@1 50.000 (48.020) Prec@5 81.250 (78.464) Epoch: [58][6390/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 1.8377 (2.0106) Prec@1 52.500 (48.021) Prec@5 81.875 (78.464) Epoch: [58][6400/11272] Time 0.832 (0.803) Data 0.002 (0.002) Loss 2.2422 (2.0106) Prec@1 41.875 (48.020) Prec@5 73.125 (78.464) Epoch: [58][6410/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 1.9349 (2.0106) Prec@1 48.125 (48.018) Prec@5 81.250 (78.465) Epoch: [58][6420/11272] Time 0.720 (0.803) Data 0.002 (0.002) Loss 2.2804 (2.0106) Prec@1 43.750 (48.016) Prec@5 73.750 (78.465) Epoch: [58][6430/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 1.9077 (2.0107) Prec@1 48.125 (48.015) Prec@5 80.000 (78.465) Epoch: [58][6440/11272] Time 0.747 (0.803) Data 0.004 (0.002) Loss 1.9061 (2.0107) Prec@1 55.000 (48.015) Prec@5 78.750 (78.464) Epoch: [58][6450/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 2.3476 (2.0107) Prec@1 42.500 (48.014) Prec@5 72.500 (78.463) Epoch: [58][6460/11272] Time 0.872 (0.803) Data 0.002 (0.002) Loss 1.9288 (2.0107) Prec@1 49.375 (48.013) Prec@5 76.875 (78.465) Epoch: [58][6470/11272] Time 0.829 (0.803) Data 0.002 (0.002) Loss 1.9328 (2.0107) Prec@1 46.250 (48.012) Prec@5 80.000 (78.465) Epoch: [58][6480/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 1.8646 (2.0105) Prec@1 47.500 (48.017) Prec@5 83.125 (78.467) Epoch: [58][6490/11272] Time 0.709 (0.803) Data 0.001 (0.002) Loss 2.0648 (2.0105) Prec@1 46.875 (48.016) Prec@5 79.375 (78.467) Epoch: [58][6500/11272] Time 0.868 (0.803) Data 0.002 (0.002) Loss 2.1551 (2.0107) Prec@1 43.125 (48.013) Prec@5 77.500 (78.466) Epoch: [58][6510/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 2.2972 (2.0107) Prec@1 43.125 (48.011) Prec@5 76.250 (78.467) Epoch: [58][6520/11272] Time 0.725 (0.803) Data 0.002 (0.002) Loss 2.0006 (2.0107) Prec@1 43.125 (48.011) Prec@5 80.000 (78.468) Epoch: [58][6530/11272] Time 0.724 (0.803) Data 0.002 (0.002) Loss 2.1920 (2.0107) Prec@1 45.625 (48.010) Prec@5 76.875 (78.468) Epoch: [58][6540/11272] Time 0.841 (0.803) Data 0.002 (0.002) Loss 1.9982 (2.0108) Prec@1 44.375 (48.008) Prec@5 78.750 (78.467) Epoch: [58][6550/11272] Time 0.835 (0.803) Data 0.001 (0.002) Loss 2.0675 (2.0108) Prec@1 43.125 (48.008) Prec@5 77.500 (78.466) Epoch: [58][6560/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 2.0723 (2.0109) Prec@1 49.375 (48.007) Prec@5 77.500 (78.463) Epoch: [58][6570/11272] Time 0.906 (0.803) Data 0.001 (0.002) Loss 2.2639 (2.0109) Prec@1 42.500 (48.006) Prec@5 70.000 (78.462) Epoch: [58][6580/11272] Time 0.858 (0.803) Data 0.002 (0.002) Loss 2.0565 (2.0108) Prec@1 43.750 (48.010) Prec@5 79.375 (78.462) Epoch: [58][6590/11272] Time 0.777 (0.803) Data 0.002 (0.002) Loss 2.2003 (2.0108) Prec@1 48.125 (48.010) Prec@5 73.750 (78.462) Epoch: [58][6600/11272] Time 0.748 (0.803) Data 0.002 (0.002) Loss 2.0344 (2.0109) Prec@1 45.625 (48.008) Prec@5 76.250 (78.461) Epoch: [58][6610/11272] Time 0.856 (0.803) Data 0.002 (0.002) Loss 2.1370 (2.0108) Prec@1 46.875 (48.009) Prec@5 76.875 (78.464) Epoch: [58][6620/11272] Time 0.870 (0.803) Data 0.002 (0.002) Loss 2.1390 (2.0108) Prec@1 44.375 (48.008) Prec@5 78.750 (78.464) Epoch: [58][6630/11272] Time 0.744 (0.803) Data 0.001 (0.002) Loss 1.8635 (2.0107) Prec@1 57.500 (48.012) Prec@5 80.625 (78.464) Epoch: [58][6640/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 2.1227 (2.0108) Prec@1 46.875 (48.010) Prec@5 75.000 (78.462) Epoch: [58][6650/11272] Time 0.903 (0.803) Data 0.002 (0.002) Loss 1.9311 (2.0108) Prec@1 54.375 (48.011) Prec@5 81.250 (78.462) Epoch: [58][6660/11272] Time 0.839 (0.803) Data 0.002 (0.002) Loss 1.8879 (2.0109) Prec@1 48.125 (48.011) Prec@5 80.000 (78.461) Epoch: [58][6670/11272] Time 0.740 (0.803) Data 0.002 (0.002) Loss 2.2650 (2.0109) Prec@1 45.000 (48.012) Prec@5 70.625 (78.461) Epoch: [58][6680/11272] Time 0.730 (0.803) Data 0.002 (0.002) Loss 2.0463 (2.0109) Prec@1 44.375 (48.012) Prec@5 73.125 (78.461) Epoch: [58][6690/11272] Time 0.854 (0.803) Data 0.001 (0.002) Loss 1.7340 (2.0109) Prec@1 52.500 (48.012) Prec@5 80.625 (78.460) Epoch: [58][6700/11272] Time 0.730 (0.803) Data 0.003 (0.002) Loss 2.0901 (2.0109) Prec@1 43.125 (48.010) Prec@5 76.250 (78.459) Epoch: [58][6710/11272] Time 0.723 (0.803) Data 0.002 (0.002) Loss 1.9390 (2.0109) Prec@1 48.125 (48.012) Prec@5 78.750 (78.461) Epoch: [58][6720/11272] Time 0.836 (0.803) Data 0.002 (0.002) Loss 2.2899 (2.0109) Prec@1 41.875 (48.011) Prec@5 75.000 (78.459) Epoch: [58][6730/11272] Time 0.848 (0.803) Data 0.001 (0.002) Loss 2.0711 (2.0111) Prec@1 46.875 (48.009) Prec@5 78.125 (78.458) Epoch: [58][6740/11272] Time 0.788 (0.803) Data 0.002 (0.002) Loss 1.9419 (2.0112) Prec@1 50.000 (48.006) Prec@5 79.375 (78.457) Epoch: [58][6750/11272] Time 0.719 (0.803) Data 0.002 (0.002) Loss 2.0600 (2.0112) Prec@1 45.000 (48.007) Prec@5 79.375 (78.457) Epoch: [58][6760/11272] Time 0.856 (0.803) Data 0.002 (0.002) Loss 2.0459 (2.0113) Prec@1 44.375 (48.005) Prec@5 80.625 (78.456) Epoch: [58][6770/11272] Time 0.878 (0.803) Data 0.002 (0.002) Loss 1.9051 (2.0112) Prec@1 49.375 (48.008) Prec@5 78.125 (78.457) Epoch: [58][6780/11272] Time 0.771 (0.803) Data 0.001 (0.002) Loss 2.4191 (2.0113) Prec@1 34.375 (48.004) Prec@5 75.625 (78.455) Epoch: [58][6790/11272] Time 0.734 (0.803) Data 0.002 (0.002) Loss 1.9123 (2.0112) Prec@1 52.500 (48.007) Prec@5 80.000 (78.457) Epoch: [58][6800/11272] Time 0.886 (0.803) Data 0.002 (0.002) Loss 2.0549 (2.0114) Prec@1 46.875 (48.004) Prec@5 75.000 (78.456) Epoch: [58][6810/11272] Time 0.888 (0.803) Data 0.001 (0.002) Loss 2.0272 (2.0113) Prec@1 38.750 (48.005) Prec@5 80.625 (78.458) Epoch: [58][6820/11272] Time 0.744 (0.803) Data 0.002 (0.002) Loss 2.0335 (2.0113) Prec@1 48.750 (48.005) Prec@5 75.625 (78.457) Epoch: [58][6830/11272] Time 0.868 (0.803) Data 0.002 (0.002) Loss 1.8921 (2.0113) Prec@1 52.500 (48.005) Prec@5 80.000 (78.457) Epoch: [58][6840/11272] Time 0.862 (0.803) Data 0.002 (0.002) Loss 2.2876 (2.0114) Prec@1 43.750 (48.003) Prec@5 73.750 (78.456) Epoch: [58][6850/11272] Time 0.804 (0.803) Data 0.001 (0.002) Loss 2.0869 (2.0112) Prec@1 45.625 (48.004) Prec@5 78.750 (78.459) Epoch: [58][6860/11272] Time 0.739 (0.803) Data 0.003 (0.002) Loss 2.0153 (2.0112) Prec@1 55.000 (48.006) Prec@5 79.375 (78.461) Epoch: [58][6870/11272] Time 0.906 (0.803) Data 0.002 (0.002) Loss 1.9962 (2.0112) Prec@1 47.500 (48.006) Prec@5 79.375 (78.462) Epoch: [58][6880/11272] Time 0.880 (0.803) Data 0.002 (0.002) Loss 2.0284 (2.0111) Prec@1 45.625 (48.008) Prec@5 78.125 (78.462) Epoch: [58][6890/11272] Time 0.758 (0.803) Data 0.001 (0.002) Loss 2.3559 (2.0113) Prec@1 43.750 (48.006) Prec@5 72.500 (78.461) Epoch: [58][6900/11272] Time 0.752 (0.803) Data 0.002 (0.002) Loss 1.8828 (2.0113) Prec@1 52.500 (48.006) Prec@5 82.500 (78.459) Epoch: [58][6910/11272] Time 0.848 (0.803) Data 0.002 (0.002) Loss 2.1237 (2.0114) Prec@1 48.750 (48.005) Prec@5 72.500 (78.459) Epoch: [58][6920/11272] Time 0.852 (0.803) Data 0.002 (0.002) Loss 2.0908 (2.0113) Prec@1 52.500 (48.005) Prec@5 76.875 (78.459) Epoch: [58][6930/11272] Time 0.741 (0.803) Data 0.002 (0.002) Loss 2.3061 (2.0113) Prec@1 39.375 (48.006) Prec@5 75.625 (78.459) Epoch: [58][6940/11272] Time 0.745 (0.803) Data 0.001 (0.002) Loss 1.8449 (2.0114) Prec@1 56.875 (48.006) Prec@5 80.000 (78.459) Epoch: [58][6950/11272] Time 0.887 (0.803) Data 0.001 (0.002) Loss 2.0774 (2.0114) Prec@1 50.000 (48.007) Prec@5 78.125 (78.461) Epoch: [58][6960/11272] Time 0.824 (0.803) Data 0.002 (0.002) Loss 2.0404 (2.0115) Prec@1 53.125 (48.004) Prec@5 77.500 (78.460) Epoch: [58][6970/11272] Time 0.734 (0.803) Data 0.002 (0.002) Loss 2.2249 (2.0115) Prec@1 41.875 (48.004) Prec@5 72.500 (78.458) Epoch: [58][6980/11272] Time 0.898 (0.803) Data 0.002 (0.002) Loss 2.3496 (2.0116) Prec@1 39.375 (48.004) Prec@5 73.125 (78.458) Epoch: [58][6990/11272] Time 0.870 (0.803) Data 0.001 (0.002) Loss 1.9343 (2.0117) Prec@1 46.875 (48.001) Prec@5 81.250 (78.454) Epoch: [58][7000/11272] Time 0.723 (0.803) Data 0.002 (0.002) Loss 1.9227 (2.0117) Prec@1 52.500 (48.000) Prec@5 80.000 (78.453) Epoch: [58][7010/11272] Time 0.736 (0.803) Data 0.002 (0.002) Loss 2.0390 (2.0116) Prec@1 42.500 (48.000) Prec@5 78.750 (78.454) Epoch: [58][7020/11272] Time 0.873 (0.803) Data 0.002 (0.002) Loss 1.8711 (2.0116) Prec@1 53.750 (48.002) Prec@5 80.000 (78.455) Epoch: [58][7030/11272] Time 0.848 (0.803) Data 0.001 (0.002) Loss 1.8359 (2.0116) Prec@1 49.375 (48.002) Prec@5 81.250 (78.455) Epoch: [58][7040/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 1.8403 (2.0116) Prec@1 53.750 (48.003) Prec@5 81.250 (78.455) Epoch: [58][7050/11272] Time 0.727 (0.803) Data 0.001 (0.002) Loss 1.9311 (2.0116) Prec@1 46.875 (48.002) Prec@5 78.750 (78.452) Epoch: [58][7060/11272] Time 0.870 (0.803) Data 0.001 (0.002) Loss 2.0454 (2.0115) Prec@1 46.250 (48.004) Prec@5 75.000 (78.454) Epoch: [58][7070/11272] Time 0.904 (0.803) Data 0.002 (0.002) Loss 1.9720 (2.0116) Prec@1 48.125 (48.003) Prec@5 78.125 (78.452) Epoch: [58][7080/11272] Time 0.730 (0.803) Data 0.002 (0.002) Loss 2.3603 (2.0116) Prec@1 38.125 (48.004) Prec@5 75.625 (78.453) Epoch: [58][7090/11272] Time 0.730 (0.803) Data 0.002 (0.002) Loss 1.9947 (2.0115) Prec@1 53.125 (48.006) Prec@5 80.000 (78.454) Epoch: [58][7100/11272] Time 0.848 (0.803) Data 0.002 (0.002) Loss 2.0584 (2.0116) Prec@1 46.875 (48.007) Prec@5 74.375 (78.452) Epoch: [58][7110/11272] Time 0.751 (0.803) Data 0.001 (0.002) Loss 2.1546 (2.0117) Prec@1 51.875 (48.005) Prec@5 72.500 (78.449) Epoch: [58][7120/11272] Time 0.717 (0.803) Data 0.001 (0.002) Loss 1.8932 (2.0118) Prec@1 41.875 (48.003) Prec@5 83.750 (78.450) Epoch: [58][7130/11272] Time 0.835 (0.803) Data 0.002 (0.002) Loss 2.0107 (2.0117) Prec@1 50.000 (48.005) Prec@5 78.750 (78.451) Epoch: [58][7140/11272] Time 0.806 (0.803) Data 0.001 (0.002) Loss 2.0791 (2.0118) Prec@1 50.000 (48.003) Prec@5 76.875 (78.448) Epoch: [58][7150/11272] Time 0.719 (0.803) Data 0.001 (0.002) Loss 1.8846 (2.0119) Prec@1 50.000 (48.002) Prec@5 78.125 (78.447) Epoch: [58][7160/11272] Time 0.719 (0.803) Data 0.002 (0.002) Loss 1.8988 (2.0118) Prec@1 50.625 (48.004) Prec@5 81.250 (78.451) Epoch: [58][7170/11272] Time 0.841 (0.803) Data 0.002 (0.002) Loss 1.8373 (2.0118) Prec@1 52.500 (48.003) Prec@5 85.000 (78.452) Epoch: [58][7180/11272] Time 0.835 (0.803) Data 0.001 (0.002) Loss 1.8850 (2.0118) Prec@1 52.500 (48.002) Prec@5 81.875 (78.454) Epoch: [58][7190/11272] Time 0.725 (0.803) Data 0.002 (0.002) Loss 2.0369 (2.0119) Prec@1 48.125 (48.000) Prec@5 76.875 (78.452) Epoch: [58][7200/11272] Time 0.734 (0.803) Data 0.002 (0.002) Loss 1.9566 (2.0119) Prec@1 50.625 (47.999) Prec@5 79.375 (78.451) Epoch: [58][7210/11272] Time 0.847 (0.803) Data 0.002 (0.002) Loss 2.0746 (2.0120) Prec@1 46.250 (47.996) Prec@5 78.750 (78.449) Epoch: [58][7220/11272] Time 0.837 (0.803) Data 0.002 (0.002) Loss 2.0386 (2.0121) Prec@1 48.125 (47.994) Prec@5 78.125 (78.447) Epoch: [58][7230/11272] Time 0.749 (0.803) Data 0.002 (0.002) Loss 2.2639 (2.0121) Prec@1 42.500 (47.995) Prec@5 76.250 (78.448) Epoch: [58][7240/11272] Time 0.835 (0.803) Data 0.001 (0.002) Loss 1.9000 (2.0121) Prec@1 52.500 (47.997) Prec@5 81.250 (78.449) Epoch: [58][7250/11272] Time 0.841 (0.803) Data 0.001 (0.002) Loss 1.9816 (2.0122) Prec@1 49.375 (47.996) Prec@5 76.875 (78.446) Epoch: [58][7260/11272] Time 0.726 (0.803) Data 0.002 (0.002) Loss 2.1690 (2.0122) Prec@1 47.500 (47.996) Prec@5 74.375 (78.446) Epoch: [58][7270/11272] Time 0.721 (0.803) Data 0.002 (0.002) Loss 1.9363 (2.0123) Prec@1 45.000 (47.994) Prec@5 79.375 (78.445) Epoch: [58][7280/11272] Time 0.835 (0.803) Data 0.002 (0.002) Loss 2.3123 (2.0123) Prec@1 44.375 (47.995) Prec@5 72.500 (78.443) Epoch: [58][7290/11272] Time 0.828 (0.803) Data 0.001 (0.002) Loss 1.9407 (2.0123) Prec@1 48.125 (47.994) Prec@5 81.875 (78.443) Epoch: [58][7300/11272] Time 0.754 (0.803) Data 0.002 (0.002) Loss 2.0189 (2.0123) Prec@1 46.875 (47.993) Prec@5 78.750 (78.444) Epoch: [58][7310/11272] Time 0.724 (0.803) Data 0.002 (0.002) Loss 2.5709 (2.0125) Prec@1 33.750 (47.989) Prec@5 68.125 (78.443) Epoch: [58][7320/11272] Time 0.865 (0.803) Data 0.002 (0.002) Loss 2.0721 (2.0125) Prec@1 48.750 (47.989) Prec@5 72.500 (78.441) Epoch: [58][7330/11272] Time 0.872 (0.803) Data 0.001 (0.002) Loss 1.9637 (2.0126) Prec@1 49.375 (47.987) Prec@5 78.750 (78.440) Epoch: [58][7340/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 2.1365 (2.0126) Prec@1 48.125 (47.988) Prec@5 77.500 (78.439) Epoch: [58][7350/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.1613 (2.0126) Prec@1 43.125 (47.989) Prec@5 78.125 (78.438) Epoch: [58][7360/11272] Time 0.834 (0.802) Data 0.002 (0.002) Loss 1.9725 (2.0126) Prec@1 46.250 (47.987) Prec@5 82.500 (78.439) Epoch: [58][7370/11272] Time 0.722 (0.802) Data 0.003 (0.002) Loss 1.8326 (2.0127) Prec@1 50.625 (47.984) Prec@5 77.500 (78.437) Epoch: [58][7380/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 2.0582 (2.0128) Prec@1 46.875 (47.983) Prec@5 79.375 (78.436) Epoch: [58][7390/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.1829 (2.0128) Prec@1 46.250 (47.981) Prec@5 73.125 (78.436) Epoch: [58][7400/11272] Time 0.830 (0.802) Data 0.002 (0.002) Loss 1.8467 (2.0128) Prec@1 54.375 (47.978) Prec@5 81.875 (78.436) Epoch: [58][7410/11272] Time 0.720 (0.802) Data 0.001 (0.002) Loss 2.0615 (2.0128) Prec@1 49.375 (47.979) Prec@5 76.250 (78.437) Epoch: [58][7420/11272] Time 0.724 (0.802) Data 0.001 (0.002) Loss 1.8211 (2.0127) Prec@1 53.750 (47.982) Prec@5 81.875 (78.439) Epoch: [58][7430/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 1.9753 (2.0127) Prec@1 48.125 (47.983) Prec@5 81.875 (78.440) Epoch: [58][7440/11272] Time 0.826 (0.802) Data 0.002 (0.002) Loss 2.0829 (2.0127) Prec@1 46.250 (47.982) Prec@5 75.000 (78.440) Epoch: [58][7450/11272] Time 0.736 (0.802) Data 0.002 (0.002) Loss 1.9633 (2.0127) Prec@1 51.875 (47.984) Prec@5 78.125 (78.439) Epoch: [58][7460/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.0281 (2.0126) Prec@1 50.000 (47.989) Prec@5 76.250 (78.441) Epoch: [58][7470/11272] Time 0.874 (0.802) Data 0.001 (0.002) Loss 1.9228 (2.0126) Prec@1 53.750 (47.989) Prec@5 78.125 (78.441) Epoch: [58][7480/11272] Time 0.822 (0.802) Data 0.001 (0.002) Loss 2.1298 (2.0127) Prec@1 48.125 (47.989) Prec@5 76.875 (78.440) Epoch: [58][7490/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.2649 (2.0128) Prec@1 40.000 (47.988) Prec@5 73.750 (78.438) Epoch: [58][7500/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 2.0633 (2.0129) Prec@1 48.125 (47.986) Prec@5 77.500 (78.435) Epoch: [58][7510/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 2.1367 (2.0130) Prec@1 45.625 (47.985) Prec@5 78.125 (78.435) Epoch: [58][7520/11272] Time 0.739 (0.802) Data 0.001 (0.002) Loss 2.1001 (2.0130) Prec@1 44.375 (47.985) Prec@5 76.250 (78.435) Epoch: [58][7530/11272] Time 0.723 (0.802) Data 0.002 (0.002) Loss 2.2713 (2.0131) Prec@1 45.000 (47.982) Prec@5 71.875 (78.431) Epoch: [58][7540/11272] Time 0.877 (0.802) Data 0.002 (0.002) Loss 1.9170 (2.0131) Prec@1 51.250 (47.983) Prec@5 80.625 (78.432) Epoch: [58][7550/11272] Time 0.828 (0.802) Data 0.002 (0.002) Loss 1.8401 (2.0131) Prec@1 55.000 (47.984) Prec@5 81.250 (78.432) Epoch: [58][7560/11272] Time 0.705 (0.802) Data 0.001 (0.002) Loss 2.0224 (2.0131) Prec@1 46.250 (47.983) Prec@5 78.125 (78.430) Epoch: [58][7570/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 2.0567 (2.0131) Prec@1 48.750 (47.984) Prec@5 77.500 (78.431) Epoch: [58][7580/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 2.1256 (2.0131) Prec@1 45.000 (47.985) Prec@5 77.500 (78.432) Epoch: [58][7590/11272] Time 0.862 (0.802) Data 0.002 (0.002) Loss 1.8109 (2.0131) Prec@1 51.875 (47.984) Prec@5 84.375 (78.432) Epoch: [58][7600/11272] Time 0.763 (0.802) Data 0.002 (0.002) Loss 1.9795 (2.0131) Prec@1 47.500 (47.985) Prec@5 76.250 (78.431) Epoch: [58][7610/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 2.1920 (2.0132) Prec@1 43.125 (47.983) Prec@5 75.625 (78.429) Epoch: [58][7620/11272] Time 0.852 (0.802) Data 0.002 (0.002) Loss 2.1213 (2.0132) Prec@1 47.500 (47.983) Prec@5 78.125 (78.429) Epoch: [58][7630/11272] Time 0.752 (0.802) Data 0.004 (0.002) Loss 2.0741 (2.0132) Prec@1 46.875 (47.981) Prec@5 78.750 (78.429) Epoch: [58][7640/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 2.0335 (2.0132) Prec@1 44.375 (47.982) Prec@5 82.500 (78.430) Epoch: [58][7650/11272] Time 0.818 (0.802) Data 0.001 (0.002) Loss 1.9081 (2.0134) Prec@1 48.125 (47.980) Prec@5 81.250 (78.426) Epoch: [58][7660/11272] Time 0.846 (0.802) Data 0.002 (0.002) Loss 1.9734 (2.0133) Prec@1 44.375 (47.981) Prec@5 79.375 (78.426) Epoch: [58][7670/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.1535 (2.0133) Prec@1 48.125 (47.982) Prec@5 78.125 (78.427) Epoch: [58][7680/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 2.3051 (2.0133) Prec@1 41.250 (47.981) Prec@5 73.750 (78.428) Epoch: [58][7690/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 2.0160 (2.0134) Prec@1 46.250 (47.978) Prec@5 80.000 (78.426) Epoch: [58][7700/11272] Time 0.819 (0.802) Data 0.001 (0.002) Loss 2.0542 (2.0135) Prec@1 47.500 (47.977) Prec@5 74.375 (78.425) Epoch: [58][7710/11272] Time 0.720 (0.802) Data 0.002 (0.002) Loss 2.0003 (2.0134) Prec@1 51.875 (47.978) Prec@5 81.250 (78.426) Epoch: [58][7720/11272] Time 0.724 (0.802) Data 0.002 (0.002) Loss 1.9998 (2.0134) Prec@1 51.250 (47.977) Prec@5 74.375 (78.425) Epoch: [58][7730/11272] Time 0.845 (0.802) Data 0.002 (0.002) Loss 1.8526 (2.0134) Prec@1 48.750 (47.977) Prec@5 79.375 (78.424) Epoch: [58][7740/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 2.3002 (2.0135) Prec@1 40.625 (47.976) Prec@5 73.750 (78.422) Epoch: [58][7750/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 2.0067 (2.0135) Prec@1 48.750 (47.976) Prec@5 78.125 (78.422) Epoch: [58][7760/11272] Time 0.859 (0.802) Data 0.002 (0.002) Loss 2.2632 (2.0135) Prec@1 43.750 (47.975) Prec@5 73.125 (78.423) Epoch: [58][7770/11272] Time 0.845 (0.802) Data 0.002 (0.002) Loss 2.1062 (2.0135) Prec@1 46.250 (47.975) Prec@5 74.375 (78.422) Epoch: [58][7780/11272] Time 0.719 (0.802) Data 0.001 (0.002) Loss 2.1012 (2.0136) Prec@1 44.375 (47.974) Prec@5 77.500 (78.421) Epoch: [58][7790/11272] Time 0.732 (0.802) Data 0.002 (0.002) Loss 1.9185 (2.0136) Prec@1 49.375 (47.972) Prec@5 80.000 (78.420) Epoch: [58][7800/11272] Time 0.883 (0.802) Data 0.002 (0.002) Loss 2.1747 (2.0137) Prec@1 45.000 (47.969) Prec@5 76.250 (78.417) Epoch: [58][7810/11272] Time 0.834 (0.802) Data 0.002 (0.002) Loss 1.8658 (2.0137) Prec@1 50.000 (47.970) Prec@5 81.250 (78.414) Epoch: [58][7820/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 2.0769 (2.0137) Prec@1 51.250 (47.970) Prec@5 76.875 (78.415) Epoch: [58][7830/11272] Time 0.767 (0.802) Data 0.002 (0.002) Loss 1.9340 (2.0137) Prec@1 51.250 (47.970) Prec@5 78.125 (78.415) Epoch: [58][7840/11272] Time 0.842 (0.802) Data 0.001 (0.002) Loss 2.0597 (2.0138) Prec@1 49.375 (47.967) Prec@5 77.500 (78.413) Epoch: [58][7850/11272] Time 0.841 (0.802) Data 0.001 (0.002) Loss 1.8123 (2.0138) Prec@1 50.625 (47.966) Prec@5 80.625 (78.413) Epoch: [58][7860/11272] Time 0.715 (0.802) Data 0.001 (0.002) Loss 2.3531 (2.0138) Prec@1 39.375 (47.967) Prec@5 66.875 (78.412) Epoch: [58][7870/11272] Time 0.722 (0.802) Data 0.002 (0.002) Loss 2.2186 (2.0138) Prec@1 44.375 (47.967) Prec@5 74.375 (78.411) Epoch: [58][7880/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 2.0303 (2.0139) Prec@1 47.500 (47.967) Prec@5 78.750 (78.408) Epoch: [58][7890/11272] Time 0.840 (0.802) Data 0.002 (0.002) Loss 2.2483 (2.0140) Prec@1 48.125 (47.966) Prec@5 72.500 (78.406) Epoch: [58][7900/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 2.1315 (2.0140) Prec@1 45.625 (47.967) Prec@5 76.250 (78.406) Epoch: [58][7910/11272] Time 0.844 (0.802) Data 0.002 (0.002) Loss 2.2094 (2.0140) Prec@1 47.500 (47.966) Prec@5 69.375 (78.404) Epoch: [58][7920/11272] Time 0.829 (0.802) Data 0.002 (0.002) Loss 1.9832 (2.0141) Prec@1 53.125 (47.965) Prec@5 76.875 (78.404) Epoch: [58][7930/11272] Time 0.757 (0.802) Data 0.002 (0.002) Loss 1.9731 (2.0141) Prec@1 47.500 (47.964) Prec@5 80.625 (78.403) Epoch: [58][7940/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 1.9079 (2.0141) Prec@1 53.750 (47.965) Prec@5 76.875 (78.403) Epoch: [58][7950/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 2.1821 (2.0141) Prec@1 46.250 (47.964) Prec@5 78.125 (78.404) Epoch: [58][7960/11272] Time 0.831 (0.802) Data 0.002 (0.002) Loss 2.0351 (2.0142) Prec@1 46.875 (47.962) Prec@5 73.125 (78.402) Epoch: [58][7970/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 2.2135 (2.0142) Prec@1 45.000 (47.962) Prec@5 76.875 (78.403) Epoch: [58][7980/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 1.9795 (2.0141) Prec@1 48.125 (47.961) Prec@5 78.750 (78.403) Epoch: [58][7990/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 2.0332 (2.0142) Prec@1 53.125 (47.961) Prec@5 77.500 (78.402) Epoch: [58][8000/11272] Time 0.848 (0.802) Data 0.002 (0.002) Loss 2.0368 (2.0142) Prec@1 50.000 (47.960) Prec@5 81.250 (78.402) Epoch: [58][8010/11272] Time 0.733 (0.801) Data 0.004 (0.002) Loss 1.8401 (2.0142) Prec@1 51.250 (47.962) Prec@5 84.375 (78.403) Epoch: [58][8020/11272] Time 0.719 (0.801) Data 0.001 (0.002) Loss 1.8717 (2.0141) Prec@1 51.875 (47.963) Prec@5 79.375 (78.403) Epoch: [58][8030/11272] Time 0.869 (0.801) Data 0.001 (0.002) Loss 2.0448 (2.0141) Prec@1 44.375 (47.963) Prec@5 77.500 (78.403) Epoch: [58][8040/11272] Time 0.735 (0.801) Data 0.001 (0.002) Loss 1.8040 (2.0142) Prec@1 53.125 (47.961) Prec@5 81.875 (78.403) Epoch: [58][8050/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.0084 (2.0142) Prec@1 46.250 (47.961) Prec@5 76.875 (78.403) Epoch: [58][8060/11272] Time 0.856 (0.801) Data 0.002 (0.002) Loss 2.3611 (2.0142) Prec@1 41.875 (47.958) Prec@5 71.875 (78.401) Epoch: [58][8070/11272] Time 0.843 (0.801) Data 0.002 (0.002) Loss 2.1756 (2.0142) Prec@1 43.750 (47.958) Prec@5 76.875 (78.402) Epoch: [58][8080/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 2.0412 (2.0142) Prec@1 49.375 (47.958) Prec@5 73.750 (78.402) Epoch: [58][8090/11272] Time 0.722 (0.801) Data 0.002 (0.002) Loss 2.1611 (2.0143) Prec@1 46.875 (47.958) Prec@5 80.000 (78.400) Epoch: [58][8100/11272] Time 0.837 (0.801) Data 0.002 (0.002) Loss 1.9055 (2.0143) Prec@1 50.000 (47.958) Prec@5 81.875 (78.402) Epoch: [58][8110/11272] Time 0.828 (0.801) Data 0.002 (0.002) Loss 1.9839 (2.0143) Prec@1 45.625 (47.959) Prec@5 78.750 (78.402) Epoch: [58][8120/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 2.0991 (2.0144) Prec@1 50.625 (47.959) Prec@5 75.625 (78.401) Epoch: [58][8130/11272] Time 0.717 (0.801) Data 0.002 (0.002) Loss 1.8801 (2.0144) Prec@1 49.375 (47.960) Prec@5 82.500 (78.401) Epoch: [58][8140/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 2.2153 (2.0143) Prec@1 48.750 (47.960) Prec@5 77.500 (78.401) Epoch: [58][8150/11272] Time 0.829 (0.801) Data 0.002 (0.002) Loss 1.9006 (2.0144) Prec@1 49.375 (47.960) Prec@5 81.250 (78.401) Epoch: [58][8160/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 1.9586 (2.0144) Prec@1 49.375 (47.960) Prec@5 78.125 (78.402) Epoch: [58][8170/11272] Time 0.806 (0.801) Data 0.001 (0.002) Loss 1.9321 (2.0144) Prec@1 51.875 (47.958) Prec@5 81.250 (78.403) Epoch: [58][8180/11272] Time 0.886 (0.801) Data 0.001 (0.002) Loss 1.9802 (2.0143) Prec@1 49.375 (47.959) Prec@5 75.000 (78.404) Epoch: [58][8190/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.0977 (2.0144) Prec@1 48.750 (47.958) Prec@5 77.500 (78.403) Epoch: [58][8200/11272] Time 0.709 (0.801) Data 0.001 (0.002) Loss 2.0183 (2.0145) Prec@1 51.250 (47.956) Prec@5 76.250 (78.400) Epoch: [58][8210/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 2.0265 (2.0144) Prec@1 41.875 (47.956) Prec@5 80.625 (78.400) Epoch: [58][8220/11272] Time 0.820 (0.801) Data 0.001 (0.002) Loss 2.0859 (2.0144) Prec@1 51.250 (47.955) Prec@5 76.875 (78.399) Epoch: [58][8230/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 2.0034 (2.0144) Prec@1 51.250 (47.955) Prec@5 79.375 (78.399) Epoch: [58][8240/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.0763 (2.0144) Prec@1 50.000 (47.956) Prec@5 78.125 (78.399) Epoch: [58][8250/11272] Time 0.860 (0.801) Data 0.002 (0.002) Loss 2.1525 (2.0145) Prec@1 44.375 (47.953) Prec@5 78.750 (78.397) Epoch: [58][8260/11272] Time 0.837 (0.801) Data 0.002 (0.002) Loss 2.2521 (2.0144) Prec@1 43.750 (47.953) Prec@5 71.875 (78.398) Epoch: [58][8270/11272] Time 0.698 (0.801) Data 0.001 (0.002) Loss 1.8515 (2.0145) Prec@1 51.875 (47.953) Prec@5 81.250 (78.398) Epoch: [58][8280/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 2.2007 (2.0145) Prec@1 44.375 (47.951) Prec@5 77.500 (78.399) Epoch: [58][8290/11272] Time 0.903 (0.801) Data 0.002 (0.002) Loss 2.1489 (2.0145) Prec@1 41.250 (47.950) Prec@5 76.250 (78.399) Epoch: [58][8300/11272] Time 0.726 (0.801) Data 0.003 (0.002) Loss 2.1606 (2.0145) Prec@1 43.750 (47.952) Prec@5 75.625 (78.398) Epoch: [58][8310/11272] Time 0.718 (0.801) Data 0.002 (0.002) Loss 1.8478 (2.0145) Prec@1 52.500 (47.953) Prec@5 83.125 (78.399) Epoch: [58][8320/11272] Time 0.905 (0.801) Data 0.002 (0.002) Loss 2.3398 (2.0146) Prec@1 36.875 (47.951) Prec@5 73.125 (78.398) Epoch: [58][8330/11272] Time 0.869 (0.801) Data 0.001 (0.002) Loss 2.3183 (2.0146) Prec@1 41.875 (47.950) Prec@5 66.875 (78.395) Epoch: [58][8340/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 2.1154 (2.0147) Prec@1 48.125 (47.950) Prec@5 76.875 (78.394) Epoch: [58][8350/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 1.8754 (2.0147) Prec@1 49.375 (47.950) Prec@5 76.250 (78.395) Epoch: [58][8360/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 2.0795 (2.0148) Prec@1 48.125 (47.948) Prec@5 77.500 (78.393) Epoch: [58][8370/11272] Time 0.847 (0.801) Data 0.002 (0.002) Loss 2.3076 (2.0148) Prec@1 42.500 (47.948) Prec@5 73.750 (78.393) Epoch: [58][8380/11272] Time 0.719 (0.801) Data 0.002 (0.002) Loss 1.9349 (2.0149) Prec@1 52.500 (47.947) Prec@5 80.625 (78.394) Epoch: [58][8390/11272] Time 0.736 (0.801) Data 0.001 (0.002) Loss 2.0792 (2.0150) Prec@1 47.500 (47.945) Prec@5 77.500 (78.393) Epoch: [58][8400/11272] Time 0.890 (0.801) Data 0.002 (0.002) Loss 1.6112 (2.0149) Prec@1 58.750 (47.948) Prec@5 84.375 (78.395) Epoch: [58][8410/11272] Time 0.817 (0.801) Data 0.002 (0.002) Loss 2.2444 (2.0149) Prec@1 37.500 (47.947) Prec@5 75.000 (78.395) Epoch: [58][8420/11272] Time 0.733 (0.801) Data 0.002 (0.002) Loss 1.9955 (2.0149) Prec@1 51.875 (47.948) Prec@5 76.250 (78.395) Epoch: [58][8430/11272] Time 0.822 (0.801) Data 0.002 (0.002) Loss 2.1403 (2.0148) Prec@1 43.125 (47.947) Prec@5 77.500 (78.396) Epoch: [58][8440/11272] Time 0.864 (0.801) Data 0.001 (0.002) Loss 2.2695 (2.0149) Prec@1 45.625 (47.945) Prec@5 73.750 (78.395) Epoch: [58][8450/11272] Time 0.777 (0.801) Data 0.001 (0.002) Loss 1.9621 (2.0148) Prec@1 52.500 (47.949) Prec@5 76.250 (78.395) Epoch: [58][8460/11272] Time 0.720 (0.801) Data 0.002 (0.002) Loss 2.1435 (2.0149) Prec@1 46.250 (47.948) Prec@5 75.625 (78.394) Epoch: [58][8470/11272] Time 0.827 (0.801) Data 0.001 (0.002) Loss 2.1182 (2.0149) Prec@1 45.625 (47.949) Prec@5 75.625 (78.394) Epoch: [58][8480/11272] Time 0.886 (0.801) Data 0.002 (0.002) Loss 1.7929 (2.0148) Prec@1 49.375 (47.950) Prec@5 87.500 (78.397) Epoch: [58][8490/11272] Time 0.730 (0.801) Data 0.001 (0.002) Loss 2.0061 (2.0148) Prec@1 45.625 (47.949) Prec@5 81.250 (78.398) Epoch: [58][8500/11272] Time 0.736 (0.801) Data 0.002 (0.002) Loss 1.9580 (2.0147) Prec@1 54.375 (47.950) Prec@5 80.625 (78.399) Epoch: [58][8510/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 2.3171 (2.0148) Prec@1 40.000 (47.947) Prec@5 72.500 (78.397) Epoch: [58][8520/11272] Time 0.837 (0.801) Data 0.001 (0.002) Loss 1.9199 (2.0148) Prec@1 50.625 (47.949) Prec@5 80.000 (78.397) Epoch: [58][8530/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 1.9473 (2.0148) Prec@1 44.375 (47.946) Prec@5 80.625 (78.397) Epoch: [58][8540/11272] Time 0.750 (0.801) Data 0.002 (0.002) Loss 1.9581 (2.0148) Prec@1 50.000 (47.947) Prec@5 79.375 (78.399) Epoch: [58][8550/11272] Time 0.851 (0.801) Data 0.001 (0.002) Loss 1.9435 (2.0148) Prec@1 46.250 (47.947) Prec@5 80.625 (78.399) Epoch: [58][8560/11272] Time 0.730 (0.801) Data 0.003 (0.002) Loss 2.2121 (2.0149) Prec@1 47.500 (47.945) Prec@5 76.875 (78.398) Epoch: [58][8570/11272] Time 0.725 (0.801) Data 0.002 (0.002) Loss 1.9106 (2.0148) Prec@1 48.125 (47.943) Prec@5 82.500 (78.399) Epoch: [58][8580/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 1.8157 (2.0149) Prec@1 55.625 (47.945) Prec@5 80.625 (78.398) Epoch: [58][8590/11272] Time 0.875 (0.801) Data 0.002 (0.002) Loss 2.0230 (2.0149) Prec@1 44.375 (47.943) Prec@5 77.500 (78.396) Epoch: [58][8600/11272] Time 0.752 (0.801) Data 0.002 (0.002) Loss 2.0084 (2.0151) Prec@1 51.875 (47.940) Prec@5 78.125 (78.394) Epoch: [58][8610/11272] Time 0.734 (0.801) Data 0.001 (0.002) Loss 2.1878 (2.0151) Prec@1 40.000 (47.940) Prec@5 73.750 (78.393) Epoch: [58][8620/11272] Time 0.853 (0.801) Data 0.002 (0.002) Loss 2.0885 (2.0151) Prec@1 47.500 (47.942) Prec@5 79.375 (78.392) Epoch: [58][8630/11272] Time 0.839 (0.801) Data 0.002 (0.002) Loss 2.0312 (2.0150) Prec@1 49.375 (47.943) Prec@5 76.875 (78.394) Epoch: [58][8640/11272] Time 0.723 (0.801) Data 0.002 (0.002) Loss 1.8860 (2.0150) Prec@1 48.750 (47.944) Prec@5 78.750 (78.394) Epoch: [58][8650/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 2.2368 (2.0151) Prec@1 44.375 (47.942) Prec@5 72.500 (78.393) Epoch: [58][8660/11272] Time 0.841 (0.801) Data 0.002 (0.002) Loss 1.8678 (2.0151) Prec@1 50.625 (47.941) Prec@5 78.750 (78.392) Epoch: [58][8670/11272] Time 0.836 (0.801) Data 0.001 (0.002) Loss 1.8787 (2.0150) Prec@1 49.375 (47.943) Prec@5 82.500 (78.394) Epoch: [58][8680/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 2.0044 (2.0151) Prec@1 50.000 (47.943) Prec@5 78.750 (78.394) Epoch: [58][8690/11272] Time 0.836 (0.801) Data 0.002 (0.002) Loss 1.9655 (2.0151) Prec@1 50.625 (47.944) Prec@5 82.500 (78.394) Epoch: [58][8700/11272] Time 0.812 (0.801) Data 0.001 (0.002) Loss 1.9466 (2.0150) Prec@1 50.625 (47.944) Prec@5 79.375 (78.395) Epoch: [58][8710/11272] Time 0.743 (0.801) Data 0.001 (0.002) Loss 2.1507 (2.0150) Prec@1 45.625 (47.943) Prec@5 74.375 (78.394) Epoch: [58][8720/11272] Time 0.721 (0.801) Data 0.002 (0.002) Loss 2.3731 (2.0150) Prec@1 39.375 (47.943) Prec@5 71.875 (78.394) Epoch: [58][8730/11272] Time 0.821 (0.801) Data 0.001 (0.002) Loss 2.2446 (2.0152) Prec@1 48.125 (47.942) Prec@5 71.875 (78.392) Epoch: [58][8740/11272] Time 0.842 (0.801) Data 0.002 (0.002) Loss 2.2400 (2.0153) Prec@1 46.250 (47.939) Prec@5 72.500 (78.391) Epoch: [58][8750/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.9853 (2.0152) Prec@1 48.750 (47.940) Prec@5 77.500 (78.393) Epoch: [58][8760/11272] Time 0.718 (0.801) Data 0.001 (0.002) Loss 2.0506 (2.0151) Prec@1 44.375 (47.941) Prec@5 80.000 (78.394) Epoch: [58][8770/11272] Time 0.830 (0.801) Data 0.001 (0.002) Loss 2.0220 (2.0151) Prec@1 50.000 (47.940) Prec@5 75.625 (78.394) Epoch: [58][8780/11272] Time 0.890 (0.801) Data 0.002 (0.002) Loss 2.1854 (2.0152) Prec@1 45.000 (47.938) Prec@5 77.500 (78.394) Epoch: [58][8790/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.9261 (2.0152) Prec@1 46.875 (47.938) Prec@5 83.750 (78.394) Epoch: [58][8800/11272] Time 0.724 (0.801) Data 0.002 (0.002) Loss 2.0225 (2.0153) Prec@1 45.625 (47.935) Prec@5 79.375 (78.392) Epoch: [58][8810/11272] Time 0.843 (0.801) Data 0.002 (0.002) Loss 1.9459 (2.0153) Prec@1 51.250 (47.934) Prec@5 77.500 (78.392) Epoch: [58][8820/11272] Time 0.876 (0.801) Data 0.003 (0.002) Loss 2.0194 (2.0152) Prec@1 45.625 (47.934) Prec@5 79.375 (78.393) Epoch: [58][8830/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 2.0605 (2.0152) Prec@1 48.125 (47.934) Prec@5 78.750 (78.393) Epoch: [58][8840/11272] Time 0.846 (0.801) Data 0.001 (0.002) Loss 1.9847 (2.0153) Prec@1 51.875 (47.933) Prec@5 80.000 (78.392) Epoch: [58][8850/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 2.1737 (2.0153) Prec@1 46.875 (47.932) Prec@5 76.875 (78.392) Epoch: [58][8860/11272] Time 0.727 (0.800) Data 0.001 (0.002) Loss 1.7538 (2.0153) Prec@1 50.625 (47.933) Prec@5 82.500 (78.393) Epoch: [58][8870/11272] Time 0.747 (0.800) Data 0.001 (0.002) Loss 2.2279 (2.0153) Prec@1 46.875 (47.933) Prec@5 73.125 (78.393) Epoch: [58][8880/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.0837 (2.0153) Prec@1 46.875 (47.932) Prec@5 73.750 (78.393) Epoch: [58][8890/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 1.9005 (2.0154) Prec@1 51.875 (47.931) Prec@5 79.375 (78.391) Epoch: [58][8900/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 2.0507 (2.0154) Prec@1 51.250 (47.932) Prec@5 77.500 (78.390) Epoch: [58][8910/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9732 (2.0154) Prec@1 47.500 (47.932) Prec@5 81.250 (78.391) Epoch: [58][8920/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.1242 (2.0154) Prec@1 43.750 (47.933) Prec@5 78.750 (78.391) Epoch: [58][8930/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 1.9251 (2.0154) Prec@1 53.125 (47.932) Prec@5 78.125 (78.389) Epoch: [58][8940/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.2371 (2.0155) Prec@1 43.750 (47.931) Prec@5 72.500 (78.388) Epoch: [58][8950/11272] Time 0.732 (0.800) Data 0.001 (0.002) Loss 2.1324 (2.0156) Prec@1 48.750 (47.930) Prec@5 76.250 (78.388) Epoch: [58][8960/11272] Time 0.805 (0.800) Data 0.001 (0.002) Loss 2.3652 (2.0156) Prec@1 36.250 (47.929) Prec@5 73.750 (78.388) Epoch: [58][8970/11272] Time 0.753 (0.800) Data 0.001 (0.002) Loss 2.1280 (2.0156) Prec@1 43.125 (47.927) Prec@5 75.000 (78.387) Epoch: [58][8980/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.0536 (2.0156) Prec@1 45.000 (47.927) Prec@5 78.125 (78.387) Epoch: [58][8990/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.1465 (2.0156) Prec@1 43.125 (47.926) Prec@5 78.125 (78.386) Epoch: [58][9000/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 2.2778 (2.0158) Prec@1 41.250 (47.922) Prec@5 78.750 (78.383) Epoch: [58][9010/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.0063 (2.0157) Prec@1 47.500 (47.921) Prec@5 81.875 (78.384) Epoch: [58][9020/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1580 (2.0159) Prec@1 43.125 (47.918) Prec@5 75.625 (78.383) Epoch: [58][9030/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0449 (2.0159) Prec@1 51.875 (47.919) Prec@5 75.625 (78.383) Epoch: [58][9040/11272] Time 0.824 (0.800) Data 0.001 (0.002) Loss 2.2295 (2.0159) Prec@1 43.750 (47.919) Prec@5 77.500 (78.384) Epoch: [58][9050/11272] Time 0.705 (0.800) Data 0.001 (0.002) Loss 1.9118 (2.0159) Prec@1 46.250 (47.918) Prec@5 83.750 (78.386) Epoch: [58][9060/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.8510 (2.0160) Prec@1 48.125 (47.916) Prec@5 81.250 (78.383) Epoch: [58][9070/11272] Time 0.888 (0.800) Data 0.002 (0.002) Loss 2.1729 (2.0161) Prec@1 40.625 (47.917) Prec@5 75.625 (78.381) Epoch: [58][9080/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 1.9769 (2.0160) Prec@1 54.375 (47.917) Prec@5 78.750 (78.382) Epoch: [58][9090/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.8087 (2.0160) Prec@1 51.250 (47.917) Prec@5 83.125 (78.383) Epoch: [58][9100/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 1.9180 (2.0160) Prec@1 48.750 (47.917) Prec@5 81.875 (78.382) Epoch: [58][9110/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.0213 (2.0160) Prec@1 48.125 (47.916) Prec@5 76.250 (78.383) Epoch: [58][9120/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.9043 (2.0158) Prec@1 47.500 (47.918) Prec@5 81.875 (78.386) Epoch: [58][9130/11272] Time 0.719 (0.800) Data 0.002 (0.002) Loss 2.0138 (2.0158) Prec@1 48.125 (47.920) Prec@5 76.875 (78.386) Epoch: [58][9140/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 2.0132 (2.0158) Prec@1 48.750 (47.919) Prec@5 75.000 (78.385) Epoch: [58][9150/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 2.0992 (2.0158) Prec@1 50.625 (47.919) Prec@5 74.375 (78.384) Epoch: [58][9160/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0794 (2.0158) Prec@1 45.000 (47.918) Prec@5 79.375 (78.384) Epoch: [58][9170/11272] Time 0.709 (0.800) Data 0.001 (0.002) Loss 2.1478 (2.0158) Prec@1 44.375 (47.920) Prec@5 76.875 (78.385) Epoch: [58][9180/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.2111 (2.0159) Prec@1 45.000 (47.917) Prec@5 77.500 (78.383) Epoch: [58][9190/11272] Time 0.853 (0.800) Data 0.001 (0.002) Loss 1.8969 (2.0160) Prec@1 51.250 (47.916) Prec@5 78.750 (78.382) Epoch: [58][9200/11272] Time 0.742 (0.800) Data 0.001 (0.002) Loss 2.1820 (2.0160) Prec@1 44.375 (47.914) Prec@5 70.625 (78.380) Epoch: [58][9210/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.1879 (2.0159) Prec@1 42.500 (47.916) Prec@5 75.000 (78.382) Epoch: [58][9220/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 1.8871 (2.0160) Prec@1 54.375 (47.916) Prec@5 81.250 (78.381) Epoch: [58][9230/11272] Time 0.724 (0.800) Data 0.003 (0.002) Loss 1.8290 (2.0160) Prec@1 50.000 (47.915) Prec@5 84.375 (78.382) Epoch: [58][9240/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.9872 (2.0160) Prec@1 48.125 (47.915) Prec@5 79.375 (78.382) Epoch: [58][9250/11272] Time 0.841 (0.800) Data 0.001 (0.002) Loss 2.1024 (2.0160) Prec@1 45.625 (47.914) Prec@5 81.250 (78.381) Epoch: [58][9260/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 1.8982 (2.0161) Prec@1 50.000 (47.914) Prec@5 79.375 (78.380) Epoch: [58][9270/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.0185 (2.0160) Prec@1 48.750 (47.916) Prec@5 79.375 (78.381) Epoch: [58][9280/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.0671 (2.0160) Prec@1 45.625 (47.917) Prec@5 78.750 (78.380) Epoch: [58][9290/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 2.0225 (2.0160) Prec@1 51.250 (47.916) Prec@5 78.750 (78.380) Epoch: [58][9300/11272] Time 0.860 (0.800) Data 0.002 (0.002) Loss 1.8578 (2.0160) Prec@1 51.250 (47.916) Prec@5 80.000 (78.379) Epoch: [58][9310/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9191 (2.0161) Prec@1 51.250 (47.915) Prec@5 79.375 (78.378) Epoch: [58][9320/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 2.2422 (2.0161) Prec@1 43.125 (47.914) Prec@5 76.250 (78.379) Epoch: [58][9330/11272] Time 0.833 (0.800) Data 0.002 (0.002) Loss 2.0017 (2.0161) Prec@1 45.000 (47.913) Prec@5 81.250 (78.379) Epoch: [58][9340/11272] Time 0.815 (0.800) Data 0.001 (0.002) Loss 2.3355 (2.0162) Prec@1 39.375 (47.911) Prec@5 76.250 (78.379) Epoch: [58][9350/11272] Time 0.731 (0.800) Data 0.001 (0.002) Loss 2.0466 (2.0162) Prec@1 48.125 (47.912) Prec@5 80.000 (78.380) Epoch: [58][9360/11272] Time 0.776 (0.800) Data 0.001 (0.002) Loss 1.9741 (2.0161) Prec@1 50.000 (47.913) Prec@5 77.500 (78.380) Epoch: [58][9370/11272] Time 0.850 (0.800) Data 0.001 (0.002) Loss 2.0924 (2.0161) Prec@1 43.125 (47.912) Prec@5 78.750 (78.381) Epoch: [58][9380/11272] Time 0.763 (0.800) Data 0.001 (0.002) Loss 1.9660 (2.0162) Prec@1 46.250 (47.912) Prec@5 80.625 (78.382) Epoch: [58][9390/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 2.1773 (2.0162) Prec@1 46.875 (47.911) Prec@5 74.375 (78.381) Epoch: [58][9400/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.9435 (2.0162) Prec@1 49.375 (47.912) Prec@5 78.750 (78.381) Epoch: [58][9410/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 2.0791 (2.0163) Prec@1 50.000 (47.912) Prec@5 75.625 (78.379) Epoch: [58][9420/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 2.1259 (2.0164) Prec@1 45.000 (47.911) Prec@5 77.500 (78.377) Epoch: [58][9430/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 2.1986 (2.0165) Prec@1 45.000 (47.908) Prec@5 71.250 (78.375) Epoch: [58][9440/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.0729 (2.0165) Prec@1 48.750 (47.908) Prec@5 76.250 (78.375) Epoch: [58][9450/11272] Time 0.854 (0.800) Data 0.001 (0.002) Loss 2.2658 (2.0166) Prec@1 43.125 (47.906) Prec@5 71.250 (78.372) Epoch: [58][9460/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 1.9373 (2.0167) Prec@1 48.750 (47.904) Prec@5 77.500 (78.371) Epoch: [58][9470/11272] Time 0.719 (0.800) Data 0.002 (0.002) Loss 1.9300 (2.0167) Prec@1 49.375 (47.905) Prec@5 77.500 (78.372) Epoch: [58][9480/11272] Time 0.906 (0.800) Data 0.002 (0.002) Loss 2.1189 (2.0167) Prec@1 46.250 (47.905) Prec@5 77.500 (78.371) Epoch: [58][9490/11272] Time 0.723 (0.800) Data 0.003 (0.002) Loss 2.1115 (2.0168) Prec@1 43.125 (47.904) Prec@5 73.750 (78.370) Epoch: [58][9500/11272] Time 0.701 (0.800) Data 0.001 (0.002) Loss 1.8128 (2.0169) Prec@1 50.000 (47.901) Prec@5 81.875 (78.369) Epoch: [58][9510/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 1.9674 (2.0170) Prec@1 49.375 (47.900) Prec@5 78.125 (78.367) Epoch: [58][9520/11272] Time 0.832 (0.800) Data 0.002 (0.002) Loss 1.8732 (2.0170) Prec@1 51.875 (47.900) Prec@5 84.375 (78.368) Epoch: [58][9530/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9536 (2.0171) Prec@1 51.875 (47.900) Prec@5 75.000 (78.366) Epoch: [58][9540/11272] Time 0.724 (0.800) Data 0.001 (0.002) Loss 1.7491 (2.0170) Prec@1 56.250 (47.902) Prec@5 83.750 (78.368) Epoch: [58][9550/11272] Time 0.835 (0.800) Data 0.001 (0.002) Loss 1.8374 (2.0171) Prec@1 54.375 (47.901) Prec@5 81.250 (78.368) Epoch: [58][9560/11272] Time 0.805 (0.800) Data 0.001 (0.002) Loss 2.0728 (2.0171) Prec@1 50.000 (47.899) Prec@5 76.250 (78.368) Epoch: [58][9570/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.1574 (2.0171) Prec@1 38.750 (47.897) Prec@5 76.875 (78.367) Epoch: [58][9580/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 2.3353 (2.0172) Prec@1 40.625 (47.896) Prec@5 73.125 (78.366) Epoch: [58][9590/11272] Time 0.848 (0.800) Data 0.001 (0.002) Loss 1.8861 (2.0172) Prec@1 53.125 (47.895) Prec@5 81.875 (78.365) Epoch: [58][9600/11272] Time 0.890 (0.800) Data 0.002 (0.002) Loss 2.1130 (2.0173) Prec@1 48.750 (47.897) Prec@5 79.375 (78.365) Epoch: [58][9610/11272] Time 0.774 (0.800) Data 0.002 (0.002) Loss 2.1848 (2.0173) Prec@1 41.250 (47.896) Prec@5 76.875 (78.366) Epoch: [58][9620/11272] Time 0.904 (0.800) Data 0.001 (0.002) Loss 1.8615 (2.0172) Prec@1 51.250 (47.897) Prec@5 82.500 (78.368) Epoch: [58][9630/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.7937 (2.0172) Prec@1 50.000 (47.898) Prec@5 81.875 (78.369) Epoch: [58][9640/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 2.0508 (2.0172) Prec@1 50.625 (47.898) Prec@5 78.125 (78.369) Epoch: [58][9650/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.9598 (2.0172) Prec@1 50.000 (47.899) Prec@5 79.375 (78.368) Epoch: [58][9660/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 1.7270 (2.0172) Prec@1 51.875 (47.898) Prec@5 84.375 (78.368) Epoch: [58][9670/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 2.0003 (2.0171) Prec@1 47.500 (47.901) Prec@5 75.625 (78.370) Epoch: [58][9680/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.2051 (2.0171) Prec@1 45.000 (47.901) Prec@5 73.750 (78.367) Epoch: [58][9690/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 2.0829 (2.0171) Prec@1 43.125 (47.901) Prec@5 78.750 (78.367) Epoch: [58][9700/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 1.9912 (2.0172) Prec@1 51.875 (47.901) Prec@5 80.625 (78.367) Epoch: [58][9710/11272] Time 0.851 (0.800) Data 0.002 (0.002) Loss 2.2424 (2.0171) Prec@1 48.125 (47.903) Prec@5 68.750 (78.365) Epoch: [58][9720/11272] Time 0.717 (0.800) Data 0.001 (0.002) Loss 1.7338 (2.0171) Prec@1 55.000 (47.904) Prec@5 85.000 (78.366) Epoch: [58][9730/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9230 (2.0171) Prec@1 50.625 (47.902) Prec@5 80.625 (78.365) Epoch: [58][9740/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 2.0154 (2.0172) Prec@1 49.375 (47.901) Prec@5 81.250 (78.365) Epoch: [58][9750/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.0281 (2.0171) Prec@1 44.375 (47.901) Prec@5 80.000 (78.366) Epoch: [58][9760/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 2.0572 (2.0171) Prec@1 50.000 (47.902) Prec@5 74.375 (78.367) Epoch: [58][9770/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 1.9261 (2.0171) Prec@1 48.125 (47.901) Prec@5 79.375 (78.367) Epoch: [58][9780/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.0070 (2.0171) Prec@1 53.750 (47.903) Prec@5 76.250 (78.367) Epoch: [58][9790/11272] Time 0.725 (0.800) Data 0.001 (0.002) Loss 1.8806 (2.0171) Prec@1 55.000 (47.905) Prec@5 76.875 (78.367) Epoch: [58][9800/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 1.8477 (2.0171) Prec@1 55.625 (47.904) Prec@5 81.250 (78.366) Epoch: [58][9810/11272] Time 0.846 (0.800) Data 0.002 (0.002) Loss 1.9661 (2.0172) Prec@1 48.125 (47.902) Prec@5 79.375 (78.364) Epoch: [58][9820/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 2.0284 (2.0172) Prec@1 46.875 (47.901) Prec@5 78.750 (78.364) Epoch: [58][9830/11272] Time 0.751 (0.799) Data 0.002 (0.002) Loss 1.8666 (2.0173) Prec@1 52.500 (47.900) Prec@5 81.875 (78.362) Epoch: [58][9840/11272] Time 0.703 (0.799) Data 0.001 (0.002) Loss 1.9594 (2.0172) Prec@1 47.500 (47.900) Prec@5 79.375 (78.364) Epoch: [58][9850/11272] Time 0.877 (0.799) Data 0.001 (0.002) Loss 2.0868 (2.0172) Prec@1 47.500 (47.901) Prec@5 76.250 (78.365) Epoch: [58][9860/11272] Time 0.897 (0.799) Data 0.001 (0.002) Loss 1.9912 (2.0172) Prec@1 44.375 (47.901) Prec@5 78.750 (78.365) Epoch: [58][9870/11272] Time 0.763 (0.799) Data 0.001 (0.002) Loss 2.0343 (2.0171) Prec@1 48.750 (47.901) Prec@5 78.750 (78.367) Epoch: [58][9880/11272] Time 0.725 (0.799) Data 0.002 (0.002) Loss 2.2577 (2.0172) Prec@1 44.375 (47.898) Prec@5 73.125 (78.365) Epoch: [58][9890/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 2.2669 (2.0172) Prec@1 41.875 (47.897) Prec@5 71.875 (78.364) Epoch: [58][9900/11272] Time 0.718 (0.799) Data 0.001 (0.002) Loss 1.9239 (2.0173) Prec@1 45.000 (47.894) Prec@5 80.625 (78.363) Epoch: [58][9910/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 2.1514 (2.0174) Prec@1 42.500 (47.891) Prec@5 78.750 (78.362) Epoch: [58][9920/11272] Time 0.840 (0.799) Data 0.001 (0.002) Loss 2.0723 (2.0174) Prec@1 53.125 (47.891) Prec@5 76.250 (78.360) Epoch: [58][9930/11272] Time 0.862 (0.799) Data 0.002 (0.002) Loss 1.9854 (2.0175) Prec@1 44.375 (47.891) Prec@5 80.625 (78.358) Epoch: [58][9940/11272] Time 0.749 (0.799) Data 0.001 (0.002) Loss 1.8099 (2.0175) Prec@1 50.000 (47.892) Prec@5 81.875 (78.358) Epoch: [58][9950/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 2.0336 (2.0175) Prec@1 45.000 (47.891) Prec@5 80.000 (78.356) Epoch: [58][9960/11272] Time 0.849 (0.799) Data 0.002 (0.002) Loss 2.2913 (2.0176) Prec@1 43.750 (47.891) Prec@5 74.375 (78.356) Epoch: [58][9970/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 2.0498 (2.0176) Prec@1 43.750 (47.889) Prec@5 80.625 (78.356) Epoch: [58][9980/11272] Time 0.771 (0.799) Data 0.002 (0.002) Loss 2.0148 (2.0176) Prec@1 45.625 (47.889) Prec@5 81.875 (78.357) Epoch: [58][9990/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 1.9181 (2.0176) Prec@1 48.750 (47.889) Prec@5 80.625 (78.356) Epoch: [58][10000/11272] Time 0.838 (0.799) Data 0.002 (0.002) Loss 1.8650 (2.0177) Prec@1 48.125 (47.888) Prec@5 81.250 (78.355) Epoch: [58][10010/11272] Time 0.842 (0.799) Data 0.002 (0.002) Loss 2.1813 (2.0177) Prec@1 43.750 (47.887) Prec@5 76.875 (78.355) Epoch: [58][10020/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 1.9494 (2.0177) Prec@1 54.375 (47.888) Prec@5 79.375 (78.356) Epoch: [58][10030/11272] Time 0.843 (0.799) Data 0.001 (0.002) Loss 2.1012 (2.0177) Prec@1 50.000 (47.889) Prec@5 76.250 (78.355) Epoch: [58][10040/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 2.2881 (2.0177) Prec@1 38.750 (47.889) Prec@5 71.875 (78.354) Epoch: [58][10050/11272] Time 0.751 (0.799) Data 0.002 (0.002) Loss 2.1295 (2.0177) Prec@1 43.750 (47.887) Prec@5 80.625 (78.354) Epoch: [58][10060/11272] Time 0.716 (0.799) Data 0.002 (0.002) Loss 2.0498 (2.0177) Prec@1 48.750 (47.888) Prec@5 77.500 (78.355) Epoch: [58][10070/11272] Time 0.838 (0.799) Data 0.002 (0.002) Loss 2.0367 (2.0177) Prec@1 46.250 (47.887) Prec@5 75.625 (78.353) Epoch: [58][10080/11272] Time 0.841 (0.799) Data 0.001 (0.002) Loss 2.1913 (2.0178) Prec@1 46.875 (47.886) Prec@5 71.875 (78.352) Epoch: [58][10090/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 1.9914 (2.0179) Prec@1 49.375 (47.885) Prec@5 78.125 (78.351) Epoch: [58][10100/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 2.1466 (2.0179) Prec@1 48.750 (47.885) Prec@5 74.375 (78.351) Epoch: [58][10110/11272] Time 0.837 (0.799) Data 0.001 (0.002) Loss 1.9177 (2.0178) Prec@1 50.625 (47.887) Prec@5 78.750 (78.352) Epoch: [58][10120/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 2.0911 (2.0178) Prec@1 47.500 (47.888) Prec@5 79.375 (78.351) Epoch: [58][10130/11272] Time 0.716 (0.799) Data 0.002 (0.002) Loss 2.1371 (2.0178) Prec@1 42.500 (47.888) Prec@5 71.875 (78.351) Epoch: [58][10140/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 2.0226 (2.0179) Prec@1 49.375 (47.887) Prec@5 81.250 (78.350) Epoch: [58][10150/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 1.9468 (2.0179) Prec@1 52.500 (47.885) Prec@5 78.125 (78.349) Epoch: [58][10160/11272] Time 0.722 (0.799) Data 0.003 (0.002) Loss 2.2483 (2.0180) Prec@1 46.875 (47.883) Prec@5 75.000 (78.348) Epoch: [58][10170/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 1.7143 (2.0180) Prec@1 59.375 (47.884) Prec@5 83.125 (78.348) Epoch: [58][10180/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 2.3682 (2.0181) Prec@1 43.125 (47.883) Prec@5 70.000 (78.347) Epoch: [58][10190/11272] Time 0.815 (0.799) Data 0.001 (0.002) Loss 2.1289 (2.0180) Prec@1 43.750 (47.883) Prec@5 73.125 (78.347) Epoch: [58][10200/11272] Time 0.738 (0.799) Data 0.001 (0.002) Loss 1.9734 (2.0180) Prec@1 48.125 (47.883) Prec@5 81.250 (78.348) Epoch: [58][10210/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 2.1346 (2.0180) Prec@1 47.500 (47.883) Prec@5 73.750 (78.347) Epoch: [58][10220/11272] Time 0.840 (0.799) Data 0.001 (0.002) Loss 2.0175 (2.0181) Prec@1 51.875 (47.883) Prec@5 79.375 (78.347) Epoch: [58][10230/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 2.0142 (2.0181) Prec@1 44.375 (47.883) Prec@5 80.000 (78.346) Epoch: [58][10240/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 2.0497 (2.0180) Prec@1 45.625 (47.883) Prec@5 79.375 (78.349) Epoch: [58][10250/11272] Time 0.739 (0.799) Data 0.001 (0.002) Loss 2.2001 (2.0181) Prec@1 45.000 (47.881) Prec@5 75.000 (78.346) Epoch: [58][10260/11272] Time 0.819 (0.799) Data 0.001 (0.002) Loss 1.9628 (2.0181) Prec@1 51.875 (47.880) Prec@5 78.750 (78.346) Epoch: [58][10270/11272] Time 0.825 (0.799) Data 0.002 (0.002) Loss 2.1263 (2.0181) Prec@1 48.750 (47.880) Prec@5 73.125 (78.346) Epoch: [58][10280/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 1.7302 (2.0180) Prec@1 56.875 (47.881) Prec@5 79.375 (78.346) Epoch: [58][10290/11272] Time 0.820 (0.799) Data 0.002 (0.002) Loss 1.9903 (2.0180) Prec@1 47.500 (47.881) Prec@5 80.000 (78.347) Epoch: [58][10300/11272] Time 0.825 (0.799) Data 0.002 (0.002) Loss 2.0670 (2.0179) Prec@1 46.875 (47.882) Prec@5 78.125 (78.348) Epoch: [58][10310/11272] Time 0.736 (0.799) Data 0.001 (0.002) Loss 1.9943 (2.0179) Prec@1 48.125 (47.883) Prec@5 79.375 (78.349) Epoch: [58][10320/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 1.9903 (2.0179) Prec@1 50.000 (47.883) Prec@5 79.375 (78.348) Epoch: [58][10330/11272] Time 0.832 (0.799) Data 0.002 (0.002) Loss 1.7589 (2.0178) Prec@1 50.000 (47.883) Prec@5 84.375 (78.349) Epoch: [58][10340/11272] Time 0.850 (0.799) Data 0.002 (0.002) Loss 1.7948 (2.0179) Prec@1 55.000 (47.884) Prec@5 79.375 (78.348) Epoch: [58][10350/11272] Time 0.748 (0.799) Data 0.001 (0.002) Loss 2.1096 (2.0178) Prec@1 46.250 (47.884) Prec@5 78.125 (78.348) Epoch: [58][10360/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 1.7577 (2.0178) Prec@1 56.875 (47.886) Prec@5 80.625 (78.350) Epoch: [58][10370/11272] Time 0.892 (0.799) Data 0.001 (0.002) Loss 2.0376 (2.0178) Prec@1 45.000 (47.885) Prec@5 77.500 (78.347) Epoch: [58][10380/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 1.9220 (2.0179) Prec@1 49.375 (47.884) Prec@5 81.250 (78.347) Epoch: [58][10390/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 1.8468 (2.0178) Prec@1 52.500 (47.885) Prec@5 81.250 (78.349) Epoch: [58][10400/11272] Time 0.735 (0.799) Data 0.002 (0.002) Loss 2.0553 (2.0177) Prec@1 50.625 (47.885) Prec@5 76.875 (78.350) Epoch: [58][10410/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 1.8784 (2.0178) Prec@1 53.125 (47.883) Prec@5 80.625 (78.349) Epoch: [58][10420/11272] Time 0.772 (0.799) Data 0.003 (0.002) Loss 2.1293 (2.0178) Prec@1 46.250 (47.883) Prec@5 75.000 (78.348) Epoch: [58][10430/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 2.2651 (2.0179) Prec@1 41.875 (47.882) Prec@5 73.750 (78.347) Epoch: [58][10440/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 1.7994 (2.0179) Prec@1 55.000 (47.882) Prec@5 83.750 (78.346) Epoch: [58][10450/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 2.0066 (2.0179) Prec@1 46.250 (47.882) Prec@5 78.125 (78.347) Epoch: [58][10460/11272] Time 0.721 (0.799) Data 0.001 (0.002) Loss 2.0752 (2.0180) Prec@1 41.875 (47.879) Prec@5 76.875 (78.345) Epoch: [58][10470/11272] Time 0.729 (0.799) Data 0.001 (0.002) Loss 1.9782 (2.0180) Prec@1 46.875 (47.879) Prec@5 79.375 (78.345) Epoch: [58][10480/11272] Time 0.854 (0.799) Data 0.002 (0.002) Loss 2.0074 (2.0180) Prec@1 48.750 (47.880) Prec@5 78.750 (78.345) Epoch: [58][10490/11272] Time 0.836 (0.799) Data 0.002 (0.002) Loss 2.1566 (2.0180) Prec@1 45.625 (47.878) Prec@5 73.750 (78.344) Epoch: [58][10500/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 2.1004 (2.0180) Prec@1 46.250 (47.879) Prec@5 76.875 (78.344) Epoch: [58][10510/11272] Time 0.702 (0.799) Data 0.001 (0.002) Loss 1.8901 (2.0180) Prec@1 47.500 (47.878) Prec@5 81.875 (78.343) Epoch: [58][10520/11272] Time 0.855 (0.799) Data 0.002 (0.002) Loss 2.0087 (2.0181) Prec@1 50.625 (47.880) Prec@5 79.375 (78.343) Epoch: [58][10530/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 2.2287 (2.0181) Prec@1 43.750 (47.879) Prec@5 72.500 (78.341) Epoch: [58][10540/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 2.1239 (2.0181) Prec@1 43.750 (47.879) Prec@5 76.250 (78.342) Epoch: [58][10550/11272] Time 0.805 (0.799) Data 0.001 (0.002) Loss 1.8996 (2.0180) Prec@1 52.500 (47.881) Prec@5 80.625 (78.344) Epoch: [58][10560/11272] Time 0.855 (0.799) Data 0.002 (0.002) Loss 2.2333 (2.0181) Prec@1 42.500 (47.879) Prec@5 73.125 (78.343) Epoch: [58][10570/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 1.9727 (2.0180) Prec@1 46.875 (47.879) Prec@5 81.250 (78.344) Epoch: [58][10580/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 2.0180 (2.0180) Prec@1 52.500 (47.880) Prec@5 80.000 (78.344) Epoch: [58][10590/11272] Time 0.861 (0.799) Data 0.002 (0.002) Loss 2.0431 (2.0181) Prec@1 44.375 (47.879) Prec@5 76.250 (78.343) Epoch: [58][10600/11272] Time 0.817 (0.799) Data 0.001 (0.002) Loss 2.0373 (2.0181) Prec@1 46.250 (47.877) Prec@5 78.750 (78.342) Epoch: [58][10610/11272] Time 0.760 (0.799) Data 0.004 (0.002) Loss 2.1451 (2.0181) Prec@1 47.500 (47.880) Prec@5 70.625 (78.341) Epoch: [58][10620/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 2.0737 (2.0182) Prec@1 46.250 (47.878) Prec@5 76.250 (78.341) Epoch: [58][10630/11272] Time 0.843 (0.799) Data 0.002 (0.002) Loss 1.8889 (2.0182) Prec@1 49.375 (47.878) Prec@5 80.000 (78.340) Epoch: [58][10640/11272] Time 0.819 (0.799) Data 0.002 (0.002) Loss 2.2594 (2.0182) Prec@1 42.500 (47.877) Prec@5 73.125 (78.340) Epoch: [58][10650/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 1.9195 (2.0182) Prec@1 53.750 (47.878) Prec@5 77.500 (78.338) Epoch: [58][10660/11272] Time 0.740 (0.799) Data 0.001 (0.002) Loss 2.0025 (2.0182) Prec@1 48.125 (47.879) Prec@5 78.125 (78.339) Epoch: [58][10670/11272] Time 0.857 (0.799) Data 0.002 (0.002) Loss 1.8264 (2.0182) Prec@1 51.250 (47.879) Prec@5 83.750 (78.339) Epoch: [58][10680/11272] Time 0.799 (0.799) Data 0.001 (0.002) Loss 2.0001 (2.0182) Prec@1 48.125 (47.879) Prec@5 76.875 (78.339) Epoch: [58][10690/11272] Time 0.716 (0.799) Data 0.001 (0.002) Loss 2.0290 (2.0182) Prec@1 44.375 (47.878) Prec@5 78.125 (78.337) Epoch: [58][10700/11272] Time 0.802 (0.799) Data 0.001 (0.002) Loss 1.7097 (2.0182) Prec@1 56.875 (47.880) Prec@5 85.000 (78.338) Epoch: [58][10710/11272] Time 0.817 (0.799) Data 0.001 (0.002) Loss 1.9787 (2.0182) Prec@1 49.375 (47.881) Prec@5 79.375 (78.339) Epoch: [58][10720/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 2.1671 (2.0182) Prec@1 46.250 (47.882) Prec@5 78.750 (78.338) Epoch: [58][10730/11272] Time 0.737 (0.799) Data 0.002 (0.002) Loss 2.0082 (2.0182) Prec@1 45.000 (47.882) Prec@5 81.875 (78.339) Epoch: [58][10740/11272] Time 0.848 (0.799) Data 0.002 (0.002) Loss 1.9001 (2.0182) Prec@1 53.750 (47.883) Prec@5 80.000 (78.339) Epoch: [58][10750/11272] Time 0.887 (0.799) Data 0.002 (0.002) Loss 2.1178 (2.0182) Prec@1 46.875 (47.883) Prec@5 79.375 (78.339) Epoch: [58][10760/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 2.1855 (2.0181) Prec@1 39.375 (47.882) Prec@5 75.625 (78.339) Epoch: [58][10770/11272] Time 0.732 (0.799) Data 0.001 (0.002) Loss 1.9924 (2.0181) Prec@1 51.875 (47.883) Prec@5 78.750 (78.338) Epoch: [58][10780/11272] Time 0.845 (0.799) Data 0.001 (0.002) Loss 2.1497 (2.0182) Prec@1 45.625 (47.882) Prec@5 75.625 (78.338) Epoch: [58][10790/11272] Time 0.826 (0.799) Data 0.001 (0.002) Loss 1.8301 (2.0182) Prec@1 55.000 (47.881) Prec@5 79.375 (78.336) Epoch: [58][10800/11272] Time 0.713 (0.799) Data 0.001 (0.002) Loss 2.0338 (2.0182) Prec@1 51.250 (47.880) Prec@5 76.875 (78.337) Epoch: [58][10810/11272] Time 0.744 (0.799) Data 0.001 (0.002) Loss 2.0137 (2.0182) Prec@1 45.625 (47.879) Prec@5 77.500 (78.338) Epoch: [58][10820/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 1.9588 (2.0182) Prec@1 47.500 (47.879) Prec@5 81.875 (78.339) Epoch: [58][10830/11272] Time 0.739 (0.799) Data 0.001 (0.002) Loss 2.1666 (2.0183) Prec@1 44.375 (47.878) Prec@5 76.250 (78.338) Epoch: [58][10840/11272] Time 0.724 (0.799) Data 0.002 (0.002) Loss 2.1194 (2.0183) Prec@1 47.500 (47.877) Prec@5 79.375 (78.338) Epoch: [58][10850/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 2.1485 (2.0184) Prec@1 46.250 (47.876) Prec@5 74.375 (78.336) Epoch: [58][10860/11272] Time 0.849 (0.799) Data 0.002 (0.002) Loss 2.3371 (2.0184) Prec@1 41.250 (47.876) Prec@5 70.625 (78.336) Epoch: [58][10870/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 2.1921 (2.0185) Prec@1 46.875 (47.876) Prec@5 76.250 (78.335) Epoch: [58][10880/11272] Time 0.700 (0.799) Data 0.002 (0.002) Loss 2.0975 (2.0184) Prec@1 45.625 (47.878) Prec@5 77.500 (78.337) Epoch: [58][10890/11272] Time 0.858 (0.799) Data 0.001 (0.002) Loss 2.0015 (2.0184) Prec@1 46.875 (47.878) Prec@5 76.250 (78.336) Epoch: [58][10900/11272] Time 0.924 (0.799) Data 0.002 (0.002) Loss 2.2384 (2.0184) Prec@1 42.500 (47.878) Prec@5 71.875 (78.335) Epoch: [58][10910/11272] Time 0.729 (0.799) Data 0.002 (0.002) Loss 2.0738 (2.0185) Prec@1 40.625 (47.876) Prec@5 80.000 (78.336) Epoch: [58][10920/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 2.0005 (2.0185) Prec@1 48.125 (47.874) Prec@5 82.500 (78.335) Epoch: [58][10930/11272] Time 0.852 (0.799) Data 0.002 (0.002) Loss 1.8492 (2.0186) Prec@1 53.125 (47.872) Prec@5 80.625 (78.334) Epoch: [58][10940/11272] Time 0.810 (0.799) Data 0.001 (0.002) Loss 1.9187 (2.0186) Prec@1 45.625 (47.871) Prec@5 81.250 (78.335) Epoch: [58][10950/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 2.2854 (2.0186) Prec@1 38.750 (47.871) Prec@5 73.125 (78.335) Epoch: [58][10960/11272] Time 0.803 (0.799) Data 0.001 (0.002) Loss 2.0535 (2.0187) Prec@1 48.125 (47.869) Prec@5 78.750 (78.334) Epoch: [58][10970/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 2.0849 (2.0187) Prec@1 50.000 (47.870) Prec@5 77.500 (78.335) Epoch: [58][10980/11272] Time 0.737 (0.799) Data 0.002 (0.002) Loss 1.9533 (2.0187) Prec@1 50.625 (47.869) Prec@5 79.375 (78.335) Epoch: [58][10990/11272] Time 0.716 (0.799) Data 0.001 (0.002) Loss 2.0172 (2.0187) Prec@1 45.000 (47.870) Prec@5 77.500 (78.335) Epoch: [58][11000/11272] Time 0.870 (0.799) Data 0.001 (0.002) Loss 1.9675 (2.0187) Prec@1 48.125 (47.870) Prec@5 79.375 (78.335) Epoch: [58][11010/11272] Time 0.833 (0.799) Data 0.002 (0.002) Loss 2.2649 (2.0188) Prec@1 40.000 (47.868) Prec@5 74.375 (78.334) Epoch: [58][11020/11272] Time 0.759 (0.798) Data 0.002 (0.002) Loss 1.8376 (2.0188) Prec@1 51.875 (47.868) Prec@5 79.375 (78.333) Epoch: [58][11030/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0836 (2.0188) Prec@1 46.875 (47.868) Prec@5 75.625 (78.331) Epoch: [58][11040/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 1.8511 (2.0188) Prec@1 55.000 (47.870) Prec@5 82.500 (78.332) Epoch: [58][11050/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 2.0316 (2.0188) Prec@1 43.750 (47.868) Prec@5 80.000 (78.332) Epoch: [58][11060/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 2.2090 (2.0188) Prec@1 42.500 (47.868) Prec@5 73.125 (78.331) Epoch: [58][11070/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 2.0064 (2.0189) Prec@1 48.750 (47.867) Prec@5 79.375 (78.330) Epoch: [58][11080/11272] Time 0.849 (0.798) Data 0.001 (0.002) Loss 2.2219 (2.0188) Prec@1 42.500 (47.867) Prec@5 76.875 (78.330) Epoch: [58][11090/11272] Time 0.731 (0.798) Data 0.003 (0.002) Loss 1.9810 (2.0188) Prec@1 50.000 (47.868) Prec@5 83.125 (78.331) Epoch: [58][11100/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 1.8654 (2.0188) Prec@1 53.750 (47.867) Prec@5 79.375 (78.331) Epoch: [58][11110/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.7327 (2.0188) Prec@1 54.375 (47.868) Prec@5 85.000 (78.332) Epoch: [58][11120/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 2.1602 (2.0188) Prec@1 43.750 (47.869) Prec@5 75.000 (78.332) Epoch: [58][11130/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.8477 (2.0188) Prec@1 50.625 (47.869) Prec@5 78.125 (78.332) Epoch: [58][11140/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.0505 (2.0189) Prec@1 46.250 (47.868) Prec@5 78.125 (78.331) Epoch: [58][11150/11272] Time 0.880 (0.798) Data 0.002 (0.002) Loss 1.9049 (2.0189) Prec@1 48.750 (47.867) Prec@5 76.875 (78.329) Epoch: [58][11160/11272] Time 0.866 (0.798) Data 0.001 (0.002) Loss 2.1256 (2.0189) Prec@1 43.125 (47.868) Prec@5 75.625 (78.330) Epoch: [58][11170/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.9644 (2.0189) Prec@1 50.000 (47.869) Prec@5 79.375 (78.329) Epoch: [58][11180/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.8156 (2.0189) Prec@1 50.625 (47.868) Prec@5 83.125 (78.328) Epoch: [58][11190/11272] Time 0.855 (0.798) Data 0.002 (0.002) Loss 1.8429 (2.0189) Prec@1 52.500 (47.871) Prec@5 80.000 (78.328) Epoch: [58][11200/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 1.8101 (2.0189) Prec@1 49.375 (47.871) Prec@5 80.000 (78.328) Epoch: [58][11210/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 1.9572 (2.0189) Prec@1 50.000 (47.871) Prec@5 80.000 (78.327) Epoch: [58][11220/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 2.1091 (2.0189) Prec@1 43.125 (47.870) Prec@5 77.500 (78.327) Epoch: [58][11230/11272] Time 0.830 (0.798) Data 0.001 (0.002) Loss 1.7755 (2.0189) Prec@1 51.875 (47.870) Prec@5 82.500 (78.327) Epoch: [58][11240/11272] Time 0.792 (0.798) Data 0.001 (0.002) Loss 1.9878 (2.0189) Prec@1 48.750 (47.871) Prec@5 73.750 (78.326) Epoch: [58][11250/11272] Time 0.744 (0.798) Data 0.001 (0.002) Loss 1.8730 (2.0189) Prec@1 51.250 (47.873) Prec@5 82.500 (78.327) Epoch: [58][11260/11272] Time 0.861 (0.798) Data 0.001 (0.002) Loss 2.0401 (2.0189) Prec@1 50.000 (47.872) Prec@5 76.250 (78.327) Epoch: [58][11270/11272] Time 0.789 (0.798) Data 0.000 (0.002) Loss 2.2412 (2.0190) Prec@1 40.625 (47.869) Prec@5 76.875 (78.326) Test: [0/229] Time 2.547 (2.547) Loss 1.1361 (1.1361) Prec@1 61.875 (61.875) Prec@5 95.625 (95.625) Test: [10/229] Time 0.308 (0.569) Loss 1.1823 (1.6577) Prec@1 62.500 (54.261) Prec@5 96.250 (86.591) Test: [20/229] Time 0.526 (0.488) Loss 2.5024 (1.8028) Prec@1 35.000 (50.774) Prec@5 70.000 (83.690) Test: [30/229] Time 0.398 (0.456) Loss 1.9639 (1.7315) Prec@1 40.625 (52.762) Prec@5 81.875 (84.315) Test: [40/229] Time 0.446 (0.439) Loss 0.4482 (1.7290) Prec@1 91.875 (53.049) Prec@5 94.375 (84.314) Test: [50/229] Time 0.391 (0.429) Loss 2.3140 (1.7590) Prec@1 33.750 (52.696) Prec@5 76.875 (83.407) Test: [60/229] Time 0.412 (0.426) Loss 2.2136 (1.7359) Prec@1 36.250 (53.145) Prec@5 83.125 (83.873) Test: [70/229] Time 0.428 (0.420) Loss 1.3242 (1.7739) Prec@1 68.125 (52.491) Prec@5 86.250 (83.283) Test: [80/229] Time 0.405 (0.416) Loss 2.3328 (1.7922) Prec@1 30.000 (51.736) Prec@5 83.750 (83.418) Test: [90/229] Time 0.335 (0.413) Loss 1.3557 (1.7908) Prec@1 71.250 (51.889) Prec@5 83.125 (83.455) Test: [100/229] Time 0.431 (0.411) Loss 2.4446 (1.7881) Prec@1 45.625 (52.234) Prec@5 75.000 (83.434) Test: [110/229] Time 0.342 (0.408) Loss 1.3780 (1.7622) Prec@1 63.750 (52.782) Prec@5 88.125 (83.789) Test: [120/229] Time 0.489 (0.408) Loss 2.8379 (1.7887) Prec@1 31.250 (52.082) Prec@5 68.125 (83.435) Test: [130/229] Time 0.375 (0.406) Loss 1.3054 (1.7734) Prec@1 61.875 (52.438) Prec@5 90.000 (83.650) Test: [140/229] Time 0.379 (0.405) Loss 1.8997 (1.7875) Prec@1 46.250 (52.043) Prec@5 83.125 (83.457) Test: [150/229] Time 0.427 (0.404) Loss 1.1793 (1.8035) Prec@1 72.500 (51.631) Prec@5 88.125 (83.249) Test: [160/229] Time 0.455 (0.405) Loss 1.7744 (1.8041) Prec@1 57.500 (51.576) Prec@5 86.875 (83.261) Test: [170/229] Time 0.403 (0.405) Loss 1.8391 (1.8191) Prec@1 50.625 (51.115) Prec@5 82.500 (83.052) Test: [180/229] Time 0.331 (0.404) Loss 2.5854 (1.8211) Prec@1 32.500 (51.243) Prec@5 65.625 (82.880) Test: [190/229] Time 0.531 (0.404) Loss 1.7672 (1.8120) Prec@1 45.000 (51.499) Prec@5 89.375 (82.974) Test: [200/229] Time 0.384 (0.403) Loss 1.7725 (1.8039) Prec@1 46.250 (51.611) Prec@5 82.500 (83.165) Test: [210/229] Time 0.317 (0.402) Loss 1.0301 (1.7940) Prec@1 66.250 (51.890) Prec@5 92.500 (83.347) Test: [220/229] Time 0.411 (0.403) Loss 1.6845 (1.7867) Prec@1 51.875 (52.175) Prec@5 85.625 (83.391) * Prec@1 52.610 Prec@5 83.524 Epoch: [59][0/11272] Time 3.908 (3.908) Data 2.955 (2.955) Loss 1.8819 (1.8819) Prec@1 52.500 (52.500) Prec@5 78.125 (78.125) Epoch: [59][10/11272] Time 0.840 (1.067) Data 0.002 (0.270) Loss 2.0369 (1.9476) Prec@1 45.625 (48.636) Prec@5 82.500 (80.341) Epoch: [59][20/11272] Time 0.736 (0.935) Data 0.002 (0.142) Loss 1.7979 (1.9495) Prec@1 51.875 (48.929) Prec@5 83.125 (80.149) Epoch: [59][30/11272] Time 0.836 (0.889) Data 0.002 (0.097) Loss 2.2128 (2.0014) Prec@1 42.500 (47.843) Prec@5 76.875 (79.294) Epoch: [59][40/11272] Time 0.838 (0.866) Data 0.002 (0.074) Loss 2.0239 (1.9950) Prec@1 49.375 (47.622) Prec@5 75.625 (79.070) Epoch: [59][50/11272] Time 0.738 (0.848) Data 0.001 (0.060) Loss 1.8945 (1.9853) Prec@1 48.750 (47.990) Prec@5 80.625 (79.105) Epoch: [59][60/11272] Time 0.718 (0.836) Data 0.001 (0.050) Loss 1.8292 (1.9808) Prec@1 54.375 (48.053) Prec@5 81.250 (79.232) Epoch: [59][70/11272] Time 0.829 (0.828) Data 0.001 (0.043) Loss 2.1109 (1.9923) Prec@1 50.000 (47.896) Prec@5 75.625 (78.873) Epoch: [59][80/11272] Time 0.880 (0.824) Data 0.001 (0.038) Loss 1.8829 (1.9896) Prec@1 49.375 (47.986) Prec@5 83.750 (78.974) Epoch: [59][90/11272] Time 0.724 (0.820) Data 0.002 (0.034) Loss 2.1125 (1.9854) Prec@1 46.250 (48.159) Prec@5 73.750 (79.018) Epoch: [59][100/11272] Time 0.746 (0.817) Data 0.002 (0.031) Loss 1.7750 (1.9827) Prec@1 53.750 (48.348) Prec@5 82.500 (78.985) Epoch: [59][110/11272] Time 0.847 (0.814) Data 0.002 (0.028) Loss 1.9921 (1.9823) Prec@1 49.375 (48.440) Prec@5 78.125 (79.015) Epoch: [59][120/11272] Time 0.827 (0.811) Data 0.002 (0.026) Loss 1.9832 (1.9771) Prec@1 47.500 (48.523) Prec@5 76.250 (79.096) Epoch: [59][130/11272] Time 0.720 (0.810) Data 0.001 (0.024) Loss 1.8714 (1.9763) Prec@1 49.375 (48.430) Prec@5 77.500 (79.022) Epoch: [59][140/11272] Time 0.726 (0.809) Data 0.002 (0.023) Loss 2.2034 (1.9815) Prec@1 38.750 (48.262) Prec@5 73.750 (78.967) Epoch: [59][150/11272] Time 0.819 (0.807) Data 0.001 (0.021) Loss 2.0250 (1.9799) Prec@1 43.125 (48.286) Prec@5 78.750 (79.002) Epoch: [59][160/11272] Time 0.721 (0.806) Data 0.003 (0.020) Loss 2.0522 (1.9798) Prec@1 43.750 (48.226) Prec@5 77.500 (78.998) Epoch: [59][170/11272] Time 0.735 (0.805) Data 0.001 (0.019) Loss 1.9512 (1.9831) Prec@1 50.000 (48.260) Prec@5 78.750 (78.882) Epoch: [59][180/11272] Time 0.840 (0.804) Data 0.002 (0.018) Loss 2.0579 (1.9862) Prec@1 49.375 (48.208) Prec@5 75.625 (78.850) Epoch: [59][190/11272] Time 0.848 (0.803) Data 0.002 (0.017) Loss 2.3111 (1.9874) Prec@1 41.250 (48.194) Prec@5 73.125 (78.822) Epoch: [59][200/11272] Time 0.726 (0.802) Data 0.002 (0.016) Loss 2.0085 (1.9860) Prec@1 51.875 (48.228) Prec@5 78.750 (78.809) Epoch: [59][210/11272] Time 0.733 (0.801) Data 0.002 (0.016) Loss 1.8115 (1.9839) Prec@1 51.875 (48.249) Prec@5 83.125 (78.827) Epoch: [59][220/11272] Time 0.842 (0.801) Data 0.002 (0.015) Loss 1.9017 (1.9829) Prec@1 55.000 (48.368) Prec@5 81.250 (78.880) Epoch: [59][230/11272] Time 0.832 (0.800) Data 0.002 (0.014) Loss 1.8332 (1.9806) Prec@1 51.250 (48.404) Prec@5 83.125 (78.929) Epoch: [59][240/11272] Time 0.742 (0.799) Data 0.002 (0.014) Loss 1.9987 (1.9833) Prec@1 46.250 (48.358) Prec@5 78.125 (78.919) Epoch: [59][250/11272] Time 0.729 (0.799) Data 0.002 (0.013) Loss 1.8603 (1.9808) Prec@1 50.625 (48.364) Prec@5 79.375 (78.982) Epoch: [59][260/11272] Time 0.870 (0.799) Data 0.002 (0.013) Loss 2.0505 (1.9835) Prec@1 48.750 (48.333) Prec@5 78.750 (78.901) Epoch: [59][270/11272] Time 0.839 (0.798) Data 0.002 (0.013) Loss 2.0098 (1.9847) Prec@1 52.500 (48.326) Prec@5 78.750 (78.895) Epoch: [59][280/11272] Time 0.760 (0.798) Data 0.002 (0.012) Loss 1.8246 (1.9832) Prec@1 56.250 (48.430) Prec@5 80.000 (78.890) Epoch: [59][290/11272] Time 0.834 (0.798) Data 0.002 (0.012) Loss 1.7500 (1.9852) Prec@1 54.375 (48.385) Prec@5 81.875 (78.875) Epoch: [59][300/11272] Time 0.831 (0.797) Data 0.002 (0.011) Loss 1.8620 (1.9829) Prec@1 51.250 (48.459) Prec@5 77.500 (78.910) Epoch: [59][310/11272] Time 0.735 (0.797) Data 0.001 (0.011) Loss 2.3143 (1.9831) Prec@1 39.375 (48.436) Prec@5 74.375 (78.949) Epoch: [59][320/11272] Time 0.734 (0.796) Data 0.002 (0.011) Loss 1.7431 (1.9837) Prec@1 54.375 (48.431) Prec@5 83.125 (78.945) Epoch: [59][330/11272] Time 0.895 (0.796) Data 0.002 (0.011) Loss 1.9243 (1.9852) Prec@1 53.125 (48.399) Prec@5 81.250 (78.941) Epoch: [59][340/11272] Time 0.827 (0.796) Data 0.002 (0.010) Loss 1.8897 (1.9838) Prec@1 51.875 (48.464) Prec@5 80.625 (78.952) Epoch: [59][350/11272] Time 0.728 (0.796) Data 0.002 (0.010) Loss 1.8164 (1.9826) Prec@1 53.125 (48.481) Prec@5 85.000 (78.973) Epoch: [59][360/11272] Time 0.730 (0.795) Data 0.002 (0.010) Loss 1.7809 (1.9824) Prec@1 56.250 (48.495) Prec@5 79.375 (78.970) Epoch: [59][370/11272] Time 0.838 (0.796) Data 0.002 (0.010) Loss 1.8004 (1.9826) Prec@1 56.875 (48.484) Prec@5 82.500 (78.969) Epoch: [59][380/11272] Time 0.829 (0.795) Data 0.002 (0.009) Loss 2.0234 (1.9839) Prec@1 49.375 (48.473) Prec@5 77.500 (78.948) Epoch: [59][390/11272] Time 0.715 (0.795) Data 0.001 (0.009) Loss 1.9716 (1.9855) Prec@1 52.500 (48.422) Prec@5 76.875 (78.899) Epoch: [59][400/11272] Time 0.725 (0.795) Data 0.002 (0.009) Loss 2.1655 (1.9843) Prec@1 41.875 (48.435) Prec@5 76.250 (78.918) Epoch: [59][410/11272] Time 0.801 (0.795) Data 0.002 (0.009) Loss 1.9578 (1.9839) Prec@1 54.375 (48.476) Prec@5 80.625 (78.942) Epoch: [59][420/11272] Time 0.727 (0.794) Data 0.003 (0.009) Loss 1.9656 (1.9845) Prec@1 51.250 (48.481) Prec@5 74.375 (78.916) Epoch: [59][430/11272] Time 0.750 (0.794) Data 0.002 (0.008) Loss 2.1105 (1.9858) Prec@1 45.000 (48.457) Prec@5 72.500 (78.888) Epoch: [59][440/11272] Time 0.826 (0.794) Data 0.002 (0.008) Loss 1.8633 (1.9876) Prec@1 48.750 (48.413) Prec@5 81.875 (78.858) Epoch: [59][450/11272] Time 0.843 (0.794) Data 0.002 (0.008) Loss 1.9706 (1.9869) Prec@1 45.000 (48.406) Prec@5 80.625 (78.872) Epoch: [59][460/11272] Time 0.727 (0.794) Data 0.002 (0.008) Loss 1.8959 (1.9875) Prec@1 47.500 (48.392) Prec@5 83.750 (78.867) Epoch: [59][470/11272] Time 0.731 (0.794) Data 0.001 (0.008) Loss 1.9360 (1.9879) Prec@1 55.000 (48.389) Prec@5 79.375 (78.856) Epoch: [59][480/11272] Time 0.821 (0.794) Data 0.002 (0.008) Loss 1.9400 (1.9882) Prec@1 51.875 (48.413) Prec@5 78.750 (78.833) Epoch: [59][490/11272] Time 0.813 (0.794) Data 0.001 (0.008) Loss 1.9541 (1.9881) Prec@1 44.375 (48.392) Prec@5 83.125 (78.824) Epoch: [59][500/11272] Time 0.760 (0.794) Data 0.002 (0.008) Loss 2.0642 (1.9871) Prec@1 40.000 (48.392) Prec@5 75.625 (78.857) Epoch: [59][510/11272] Time 0.719 (0.794) Data 0.001 (0.007) Loss 1.7943 (1.9862) Prec@1 49.375 (48.420) Prec@5 80.000 (78.845) Epoch: [59][520/11272] Time 0.878 (0.794) Data 0.002 (0.007) Loss 1.8924 (1.9863) Prec@1 48.750 (48.415) Prec@5 84.375 (78.839) Epoch: [59][530/11272] Time 0.835 (0.794) Data 0.002 (0.007) Loss 1.9745 (1.9872) Prec@1 46.875 (48.384) Prec@5 80.000 (78.832) Epoch: [59][540/11272] Time 0.733 (0.794) Data 0.002 (0.007) Loss 1.9832 (1.9883) Prec@1 49.375 (48.379) Prec@5 80.000 (78.834) Epoch: [59][550/11272] Time 0.820 (0.794) Data 0.002 (0.007) Loss 2.1498 (1.9887) Prec@1 42.500 (48.401) Prec@5 78.125 (78.824) Epoch: [59][560/11272] Time 0.808 (0.793) Data 0.001 (0.007) Loss 2.2205 (1.9886) Prec@1 45.625 (48.436) Prec@5 75.000 (78.831) Epoch: [59][570/11272] Time 0.743 (0.793) Data 0.001 (0.007) Loss 1.9361 (1.9886) Prec@1 47.500 (48.410) Prec@5 81.250 (78.856) Epoch: [59][580/11272] Time 0.735 (0.793) Data 0.002 (0.007) Loss 1.9379 (1.9885) Prec@1 48.125 (48.404) Prec@5 76.875 (78.827) Epoch: [59][590/11272] Time 0.838 (0.793) Data 0.002 (0.007) Loss 1.8391 (1.9888) Prec@1 50.000 (48.419) Prec@5 80.000 (78.801) Epoch: [59][600/11272] Time 0.840 (0.793) Data 0.002 (0.007) Loss 1.9790 (1.9904) Prec@1 47.500 (48.379) Prec@5 80.625 (78.790) Epoch: [59][610/11272] Time 0.745 (0.793) Data 0.002 (0.006) Loss 2.1998 (1.9902) Prec@1 43.125 (48.373) Prec@5 76.875 (78.810) Epoch: [59][620/11272] Time 0.731 (0.793) Data 0.002 (0.006) Loss 2.0128 (1.9907) Prec@1 45.000 (48.343) Prec@5 77.500 (78.814) Epoch: [59][630/11272] Time 0.875 (0.793) Data 0.001 (0.006) Loss 2.0648 (1.9906) Prec@1 45.625 (48.324) Prec@5 76.875 (78.800) Epoch: [59][640/11272] Time 0.822 (0.793) Data 0.002 (0.006) Loss 2.0763 (1.9915) Prec@1 46.875 (48.303) Prec@5 75.000 (78.788) Epoch: [59][650/11272] Time 0.741 (0.793) Data 0.001 (0.006) Loss 2.0445 (1.9921) Prec@1 46.875 (48.303) Prec@5 76.875 (78.777) Epoch: [59][660/11272] Time 0.728 (0.793) Data 0.002 (0.006) Loss 1.8142 (1.9920) Prec@1 51.250 (48.304) Prec@5 80.625 (78.780) Epoch: [59][670/11272] Time 0.910 (0.793) Data 0.002 (0.006) Loss 1.7701 (1.9906) Prec@1 48.125 (48.336) Prec@5 85.000 (78.815) Epoch: [59][680/11272] Time 0.824 (0.793) Data 0.001 (0.006) Loss 2.1632 (1.9903) Prec@1 41.875 (48.340) Prec@5 77.500 (78.820) Epoch: [59][690/11272] Time 0.730 (0.793) Data 0.002 (0.006) Loss 2.1581 (1.9905) Prec@1 50.625 (48.336) Prec@5 70.625 (78.807) Epoch: [59][700/11272] Time 0.809 (0.793) Data 0.002 (0.006) Loss 1.9345 (1.9902) Prec@1 51.875 (48.345) Prec@5 79.375 (78.828) Epoch: [59][710/11272] Time 0.828 (0.793) Data 0.002 (0.006) Loss 1.9538 (1.9905) Prec@1 45.625 (48.340) Prec@5 78.125 (78.821) Epoch: [59][720/11272] Time 0.724 (0.792) Data 0.002 (0.006) Loss 2.1347 (1.9905) Prec@1 46.875 (48.325) Prec@5 76.250 (78.822) Epoch: [59][730/11272] Time 0.739 (0.793) Data 0.002 (0.006) Loss 1.9614 (1.9912) Prec@1 48.750 (48.317) Prec@5 85.000 (78.794) Epoch: [59][740/11272] Time 0.839 (0.793) Data 0.001 (0.006) Loss 1.7473 (1.9911) Prec@1 50.000 (48.323) Prec@5 83.750 (78.798) Epoch: [59][750/11272] Time 0.853 (0.793) Data 0.002 (0.006) Loss 1.7738 (1.9906) Prec@1 51.250 (48.341) Prec@5 81.875 (78.812) Epoch: [59][760/11272] Time 0.744 (0.793) Data 0.002 (0.005) Loss 1.8892 (1.9904) Prec@1 48.750 (48.361) Prec@5 82.500 (78.812) Epoch: [59][770/11272] Time 0.724 (0.793) Data 0.002 (0.005) Loss 1.8459 (1.9900) Prec@1 53.750 (48.387) Prec@5 80.000 (78.808) Epoch: [59][780/11272] Time 0.839 (0.793) Data 0.001 (0.005) Loss 2.0823 (1.9899) Prec@1 47.500 (48.404) Prec@5 73.750 (78.795) Epoch: [59][790/11272] Time 0.888 (0.793) Data 0.001 (0.005) Loss 1.9553 (1.9908) Prec@1 50.000 (48.397) Prec@5 75.625 (78.775) Epoch: [59][800/11272] Time 0.759 (0.793) Data 0.002 (0.005) Loss 1.9169 (1.9904) Prec@1 48.125 (48.419) Prec@5 79.375 (78.772) Epoch: [59][810/11272] Time 0.728 (0.793) Data 0.002 (0.005) Loss 2.1234 (1.9899) Prec@1 44.375 (48.428) Prec@5 76.250 (78.779) Epoch: [59][820/11272] Time 0.823 (0.793) Data 0.001 (0.005) Loss 1.8879 (1.9897) Prec@1 48.125 (48.435) Prec@5 83.750 (78.799) Epoch: [59][830/11272] Time 0.763 (0.793) Data 0.001 (0.005) Loss 2.1714 (1.9896) Prec@1 47.500 (48.458) Prec@5 75.625 (78.782) Epoch: [59][840/11272] Time 0.735 (0.793) Data 0.002 (0.005) Loss 1.9770 (1.9893) Prec@1 50.000 (48.457) Prec@5 77.500 (78.789) Epoch: [59][850/11272] Time 0.841 (0.793) Data 0.002 (0.005) Loss 2.2243 (1.9888) Prec@1 45.000 (48.469) Prec@5 76.250 (78.785) Epoch: [59][860/11272] Time 0.849 (0.793) Data 0.002 (0.005) Loss 1.4927 (1.9881) Prec@1 60.000 (48.476) Prec@5 86.250 (78.807) Epoch: [59][870/11272] Time 0.728 (0.793) Data 0.002 (0.005) Loss 1.8364 (1.9888) Prec@1 53.125 (48.458) Prec@5 79.375 (78.795) Epoch: [59][880/11272] Time 0.727 (0.793) Data 0.002 (0.005) Loss 1.9445 (1.9895) Prec@1 48.125 (48.434) Prec@5 82.500 (78.791) Epoch: [59][890/11272] Time 0.864 (0.793) Data 0.002 (0.005) Loss 1.9538 (1.9894) Prec@1 50.000 (48.446) Prec@5 82.500 (78.796) Epoch: [59][900/11272] Time 0.854 (0.793) Data 0.002 (0.005) Loss 2.0365 (1.9894) Prec@1 54.375 (48.454) Prec@5 78.125 (78.788) Epoch: [59][910/11272] Time 0.729 (0.793) Data 0.002 (0.005) Loss 2.1998 (1.9902) Prec@1 47.500 (48.431) Prec@5 71.875 (78.778) Epoch: [59][920/11272] Time 0.729 (0.792) Data 0.002 (0.005) Loss 1.8170 (1.9903) Prec@1 50.000 (48.417) Prec@5 83.125 (78.779) Epoch: [59][930/11272] Time 0.844 (0.792) Data 0.001 (0.005) Loss 1.8874 (1.9900) Prec@1 50.000 (48.413) Prec@5 81.250 (78.782) Epoch: [59][940/11272] Time 0.846 (0.792) Data 0.002 (0.005) Loss 2.2524 (1.9906) Prec@1 43.125 (48.406) Prec@5 73.750 (78.779) Epoch: [59][950/11272] Time 0.734 (0.792) Data 0.002 (0.005) Loss 1.7921 (1.9913) Prec@1 53.750 (48.392) Prec@5 81.875 (78.773) Epoch: [59][960/11272] Time 0.863 (0.792) Data 0.002 (0.005) Loss 2.1381 (1.9909) Prec@1 46.250 (48.408) Prec@5 79.375 (78.774) Epoch: [59][970/11272] Time 0.823 (0.792) Data 0.002 (0.005) Loss 1.8721 (1.9900) Prec@1 51.250 (48.442) Prec@5 82.500 (78.794) Epoch: [59][980/11272] Time 0.747 (0.792) Data 0.002 (0.005) Loss 1.8577 (1.9897) Prec@1 48.125 (48.435) Prec@5 81.875 (78.803) Epoch: [59][990/11272] Time 0.755 (0.792) Data 0.002 (0.005) Loss 2.1024 (1.9900) Prec@1 41.875 (48.408) Prec@5 79.375 (78.802) Epoch: [59][1000/11272] Time 0.856 (0.792) Data 0.001 (0.005) Loss 1.9734 (1.9903) Prec@1 51.875 (48.397) Prec@5 78.125 (78.794) Epoch: [59][1010/11272] Time 0.878 (0.792) Data 0.002 (0.005) Loss 1.9019 (1.9896) Prec@1 48.750 (48.398) Prec@5 76.875 (78.808) Epoch: [59][1020/11272] Time 0.713 (0.792) Data 0.001 (0.005) Loss 2.2167 (1.9901) Prec@1 47.500 (48.393) Prec@5 78.125 (78.806) Epoch: [59][1030/11272] Time 0.722 (0.792) Data 0.002 (0.004) Loss 1.9362 (1.9900) Prec@1 48.750 (48.395) Prec@5 81.250 (78.808) Epoch: [59][1040/11272] Time 0.850 (0.792) Data 0.002 (0.004) Loss 1.9714 (1.9900) Prec@1 48.750 (48.389) Prec@5 80.625 (78.819) Epoch: [59][1050/11272] Time 0.837 (0.792) Data 0.002 (0.004) Loss 2.0110 (1.9903) Prec@1 48.750 (48.391) Prec@5 81.875 (78.815) Epoch: [59][1060/11272] Time 0.724 (0.792) Data 0.002 (0.004) Loss 1.9961 (1.9903) Prec@1 50.000 (48.389) Prec@5 78.125 (78.814) Epoch: [59][1070/11272] Time 0.731 (0.792) Data 0.001 (0.004) Loss 2.0663 (1.9903) Prec@1 50.625 (48.399) Prec@5 81.250 (78.817) Epoch: [59][1080/11272] Time 0.883 (0.792) Data 0.001 (0.004) Loss 2.0833 (1.9913) Prec@1 48.750 (48.397) Prec@5 79.375 (78.804) Epoch: [59][1090/11272] Time 0.739 (0.792) Data 0.003 (0.004) Loss 1.7226 (1.9916) Prec@1 52.500 (48.385) Prec@5 81.250 (78.802) Epoch: [59][1100/11272] Time 0.719 (0.792) Data 0.001 (0.004) Loss 1.8246 (1.9919) Prec@1 50.625 (48.363) Prec@5 80.625 (78.798) Epoch: [59][1110/11272] Time 0.881 (0.792) Data 0.001 (0.004) Loss 1.8983 (1.9912) Prec@1 53.125 (48.378) Prec@5 79.375 (78.801) Epoch: [59][1120/11272] Time 0.855 (0.792) Data 0.002 (0.004) Loss 2.1440 (1.9911) Prec@1 48.125 (48.383) Prec@5 68.750 (78.793) Epoch: [59][1130/11272] Time 0.720 (0.792) Data 0.002 (0.004) Loss 2.0108 (1.9921) Prec@1 51.250 (48.359) Prec@5 78.750 (78.790) Epoch: [59][1140/11272] Time 0.731 (0.792) Data 0.002 (0.004) Loss 1.7671 (1.9921) Prec@1 49.375 (48.352) Prec@5 87.500 (78.791) Epoch: [59][1150/11272] Time 0.858 (0.792) Data 0.002 (0.004) Loss 2.1843 (1.9923) Prec@1 46.875 (48.364) Prec@5 73.125 (78.793) Epoch: [59][1160/11272] Time 0.863 (0.792) Data 0.002 (0.004) Loss 1.7882 (1.9920) Prec@1 48.750 (48.363) Prec@5 85.000 (78.795) Epoch: [59][1170/11272] Time 0.731 (0.792) Data 0.002 (0.004) Loss 1.7432 (1.9920) Prec@1 50.625 (48.356) Prec@5 83.750 (78.793) Epoch: [59][1180/11272] Time 0.744 (0.792) Data 0.002 (0.004) Loss 2.0569 (1.9923) Prec@1 49.375 (48.345) Prec@5 76.875 (78.783) Epoch: [59][1190/11272] Time 0.804 (0.792) Data 0.001 (0.004) Loss 1.9530 (1.9921) Prec@1 44.375 (48.350) Prec@5 78.750 (78.786) Epoch: [59][1200/11272] Time 0.886 (0.792) Data 0.002 (0.004) Loss 2.2236 (1.9931) Prec@1 41.250 (48.328) Prec@5 71.875 (78.761) Epoch: [59][1210/11272] Time 0.731 (0.792) Data 0.002 (0.004) Loss 2.1047 (1.9934) Prec@1 47.500 (48.325) Prec@5 75.000 (78.754) Epoch: [59][1220/11272] Time 0.816 (0.792) Data 0.002 (0.004) Loss 1.8465 (1.9933) Prec@1 56.250 (48.327) Prec@5 77.500 (78.744) Epoch: [59][1230/11272] Time 0.914 (0.792) Data 0.002 (0.004) Loss 2.0015 (1.9934) Prec@1 45.625 (48.328) Prec@5 79.375 (78.741) Epoch: [59][1240/11272] Time 0.807 (0.792) Data 0.002 (0.004) Loss 1.9482 (1.9936) Prec@1 47.500 (48.327) Prec@5 80.000 (78.737) Epoch: [59][1250/11272] Time 0.748 (0.792) Data 0.002 (0.004) Loss 1.8556 (1.9943) Prec@1 48.750 (48.321) Prec@5 82.500 (78.727) Epoch: [59][1260/11272] Time 0.818 (0.792) Data 0.001 (0.004) Loss 2.3423 (1.9950) Prec@1 42.500 (48.297) Prec@5 73.125 (78.719) Epoch: [59][1270/11272] Time 0.808 (0.792) Data 0.001 (0.004) Loss 1.8253 (1.9943) Prec@1 49.375 (48.305) Prec@5 80.625 (78.733) Epoch: [59][1280/11272] Time 0.733 (0.792) Data 0.001 (0.004) Loss 2.0589 (1.9946) Prec@1 46.875 (48.291) Prec@5 79.375 (78.732) Epoch: [59][1290/11272] Time 0.722 (0.792) Data 0.002 (0.004) Loss 2.1539 (1.9948) Prec@1 46.875 (48.284) Prec@5 73.750 (78.722) Epoch: [59][1300/11272] Time 0.819 (0.792) Data 0.001 (0.004) Loss 1.9046 (1.9950) Prec@1 47.500 (48.281) Prec@5 80.625 (78.719) Epoch: [59][1310/11272] Time 0.800 (0.792) Data 0.001 (0.004) Loss 2.0268 (1.9950) Prec@1 48.750 (48.293) Prec@5 75.000 (78.711) Epoch: [59][1320/11272] Time 0.764 (0.792) Data 0.002 (0.004) Loss 1.7979 (1.9951) Prec@1 51.250 (48.298) Prec@5 80.625 (78.706) Epoch: [59][1330/11272] Time 0.709 (0.792) Data 0.001 (0.004) Loss 2.0647 (1.9949) Prec@1 46.875 (48.311) Prec@5 76.250 (78.709) Epoch: [59][1340/11272] Time 0.857 (0.792) Data 0.002 (0.004) Loss 1.8446 (1.9941) Prec@1 50.000 (48.331) Prec@5 78.750 (78.719) Epoch: [59][1350/11272] Time 0.754 (0.792) Data 0.003 (0.004) Loss 1.9937 (1.9938) Prec@1 49.375 (48.341) Prec@5 79.375 (78.719) Epoch: [59][1360/11272] Time 0.728 (0.792) Data 0.002 (0.004) Loss 2.3371 (1.9939) Prec@1 42.500 (48.344) Prec@5 72.500 (78.716) Epoch: [59][1370/11272] Time 0.838 (0.792) Data 0.002 (0.004) Loss 1.9987 (1.9939) Prec@1 47.500 (48.349) Prec@5 81.250 (78.714) Epoch: [59][1380/11272] Time 0.902 (0.792) Data 0.002 (0.004) Loss 2.0502 (1.9938) Prec@1 47.500 (48.359) Prec@5 76.250 (78.717) Epoch: [59][1390/11272] Time 0.730 (0.792) Data 0.002 (0.004) Loss 1.8899 (1.9930) Prec@1 48.750 (48.382) Prec@5 82.500 (78.737) Epoch: [59][1400/11272] Time 0.732 (0.792) Data 0.001 (0.004) Loss 2.0590 (1.9934) Prec@1 50.625 (48.379) Prec@5 78.750 (78.730) Epoch: [59][1410/11272] Time 0.825 (0.792) Data 0.001 (0.004) Loss 2.0014 (1.9931) Prec@1 44.375 (48.378) Prec@5 78.750 (78.736) Epoch: [59][1420/11272] Time 0.835 (0.792) Data 0.001 (0.004) Loss 2.0877 (1.9936) Prec@1 46.250 (48.367) Prec@5 77.500 (78.729) Epoch: [59][1430/11272] Time 0.722 (0.792) Data 0.002 (0.004) Loss 1.8700 (1.9932) Prec@1 52.500 (48.373) Prec@5 81.250 (78.740) Epoch: [59][1440/11272] Time 0.760 (0.792) Data 0.002 (0.004) Loss 1.9018 (1.9926) Prec@1 52.500 (48.387) Prec@5 81.250 (78.753) Epoch: [59][1450/11272] Time 0.856 (0.792) Data 0.001 (0.004) Loss 2.1353 (1.9930) Prec@1 46.250 (48.375) Prec@5 71.250 (78.743) Epoch: [59][1460/11272] Time 0.859 (0.792) Data 0.002 (0.004) Loss 1.7127 (1.9923) Prec@1 51.250 (48.386) Prec@5 83.125 (78.750) Epoch: [59][1470/11272] Time 0.719 (0.792) Data 0.001 (0.004) Loss 2.0366 (1.9925) Prec@1 50.625 (48.382) Prec@5 80.000 (78.740) Epoch: [59][1480/11272] Time 0.840 (0.792) Data 0.002 (0.004) Loss 1.8350 (1.9924) Prec@1 56.250 (48.381) Prec@5 81.250 (78.737) Epoch: [59][1490/11272] Time 0.814 (0.792) Data 0.002 (0.004) Loss 2.1063 (1.9925) Prec@1 43.750 (48.376) Prec@5 76.250 (78.740) Epoch: [59][1500/11272] Time 0.754 (0.792) Data 0.001 (0.004) Loss 2.0396 (1.9927) Prec@1 46.250 (48.366) Prec@5 78.125 (78.730) Epoch: [59][1510/11272] Time 0.746 (0.791) Data 0.001 (0.004) Loss 2.0062 (1.9927) Prec@1 48.125 (48.366) Prec@5 77.500 (78.736) Epoch: [59][1520/11272] Time 0.844 (0.792) Data 0.002 (0.004) Loss 2.0958 (1.9928) Prec@1 41.875 (48.365) Prec@5 78.125 (78.730) Epoch: [59][1530/11272] Time 0.890 (0.792) Data 0.002 (0.004) Loss 1.9149 (1.9929) Prec@1 48.125 (48.363) Prec@5 81.875 (78.730) Epoch: [59][1540/11272] Time 0.727 (0.792) Data 0.001 (0.004) Loss 1.9818 (1.9929) Prec@1 45.000 (48.359) Prec@5 85.000 (78.733) Epoch: [59][1550/11272] Time 0.735 (0.792) Data 0.002 (0.004) Loss 2.1822 (1.9933) Prec@1 45.000 (48.356) Prec@5 78.125 (78.728) Epoch: [59][1560/11272] Time 0.853 (0.792) Data 0.002 (0.004) Loss 2.0918 (1.9934) Prec@1 50.000 (48.359) Prec@5 75.625 (78.719) Epoch: [59][1570/11272] Time 0.872 (0.792) Data 0.002 (0.003) Loss 1.8935 (1.9937) Prec@1 53.750 (48.353) Prec@5 77.500 (78.710) Epoch: [59][1580/11272] Time 0.740 (0.792) Data 0.002 (0.003) Loss 2.1018 (1.9940) Prec@1 46.250 (48.350) Prec@5 73.750 (78.706) Epoch: [59][1590/11272] Time 0.737 (0.792) Data 0.002 (0.003) Loss 1.8756 (1.9944) Prec@1 50.625 (48.338) Prec@5 82.500 (78.706) Epoch: [59][1600/11272] Time 0.835 (0.792) Data 0.002 (0.003) Loss 2.0326 (1.9946) Prec@1 46.250 (48.338) Prec@5 80.625 (78.709) Epoch: [59][1610/11272] Time 0.870 (0.792) Data 0.002 (0.003) Loss 1.8346 (1.9947) Prec@1 55.000 (48.336) Prec@5 75.625 (78.706) Epoch: [59][1620/11272] Time 0.724 (0.792) Data 0.002 (0.003) Loss 1.9743 (1.9949) Prec@1 44.375 (48.329) Prec@5 80.625 (78.710) Epoch: [59][1630/11272] Time 0.858 (0.792) Data 0.002 (0.003) Loss 2.2757 (1.9952) Prec@1 48.125 (48.327) Prec@5 71.250 (78.702) Epoch: [59][1640/11272] Time 0.828 (0.792) Data 0.002 (0.003) Loss 1.8094 (1.9952) Prec@1 45.000 (48.317) Prec@5 85.625 (78.701) Epoch: [59][1650/11272] Time 0.725 (0.792) Data 0.002 (0.003) Loss 2.0181 (1.9947) Prec@1 47.500 (48.328) Prec@5 79.375 (78.708) Epoch: [59][1660/11272] Time 0.717 (0.792) Data 0.001 (0.003) Loss 2.1700 (1.9948) Prec@1 45.000 (48.333) Prec@5 73.125 (78.704) Epoch: [59][1670/11272] Time 0.834 (0.792) Data 0.002 (0.003) Loss 2.0454 (1.9947) Prec@1 48.750 (48.340) Prec@5 75.625 (78.705) Epoch: [59][1680/11272] Time 0.832 (0.792) Data 0.002 (0.003) Loss 2.3852 (1.9949) Prec@1 40.000 (48.340) Prec@5 73.750 (78.703) Epoch: [59][1690/11272] Time 0.748 (0.792) Data 0.002 (0.003) Loss 2.1457 (1.9952) Prec@1 43.750 (48.328) Prec@5 78.750 (78.699) Epoch: [59][1700/11272] Time 0.724 (0.792) Data 0.002 (0.003) Loss 2.1563 (1.9952) Prec@1 45.000 (48.329) Prec@5 76.875 (78.702) Epoch: [59][1710/11272] Time 0.821 (0.792) Data 0.001 (0.003) Loss 1.8259 (1.9951) Prec@1 46.250 (48.325) Prec@5 81.875 (78.708) Epoch: [59][1720/11272] Time 0.899 (0.792) Data 0.002 (0.003) Loss 1.7702 (1.9951) Prec@1 54.375 (48.329) Prec@5 84.375 (78.709) Epoch: [59][1730/11272] Time 0.745 (0.792) Data 0.001 (0.003) Loss 1.9240 (1.9951) Prec@1 51.875 (48.339) Prec@5 79.375 (78.705) Epoch: [59][1740/11272] Time 0.737 (0.791) Data 0.001 (0.003) Loss 2.0527 (1.9947) Prec@1 53.125 (48.354) Prec@5 78.125 (78.704) Epoch: [59][1750/11272] Time 0.820 (0.791) Data 0.001 (0.003) Loss 1.6178 (1.9947) Prec@1 56.250 (48.355) Prec@5 86.875 (78.707) Epoch: [59][1760/11272] Time 0.761 (0.792) Data 0.001 (0.003) Loss 1.9821 (1.9947) Prec@1 48.125 (48.348) Prec@5 79.375 (78.706) Epoch: [59][1770/11272] Time 0.743 (0.792) Data 0.002 (0.003) Loss 2.0401 (1.9950) Prec@1 55.000 (48.349) Prec@5 76.875 (78.705) Epoch: [59][1780/11272] Time 0.894 (0.792) Data 0.002 (0.003) Loss 2.1046 (1.9952) Prec@1 41.875 (48.340) Prec@5 77.500 (78.703) Epoch: [59][1790/11272] Time 0.796 (0.792) Data 0.001 (0.003) Loss 2.1330 (1.9954) Prec@1 48.125 (48.341) Prec@5 71.250 (78.692) Epoch: [59][1800/11272] Time 0.734 (0.792) Data 0.002 (0.003) Loss 1.9514 (1.9952) Prec@1 46.250 (48.341) Prec@5 80.000 (78.697) Epoch: [59][1810/11272] Time 0.740 (0.792) Data 0.002 (0.003) Loss 2.1419 (1.9948) Prec@1 46.875 (48.353) Prec@5 71.250 (78.702) Epoch: [59][1820/11272] Time 0.833 (0.792) Data 0.002 (0.003) Loss 1.8702 (1.9944) Prec@1 53.750 (48.371) Prec@5 80.000 (78.708) Epoch: [59][1830/11272] Time 0.813 (0.792) Data 0.001 (0.003) Loss 1.8553 (1.9944) Prec@1 48.125 (48.363) Prec@5 80.625 (78.711) Epoch: [59][1840/11272] Time 0.731 (0.791) Data 0.001 (0.003) Loss 1.9504 (1.9945) Prec@1 44.375 (48.354) Prec@5 75.625 (78.710) Epoch: [59][1850/11272] Time 0.745 (0.791) Data 0.003 (0.003) Loss 2.1103 (1.9942) Prec@1 43.125 (48.364) Prec@5 76.250 (78.709) Epoch: [59][1860/11272] Time 0.846 (0.791) Data 0.002 (0.003) Loss 2.0566 (1.9942) Prec@1 48.750 (48.369) Prec@5 73.750 (78.704) Epoch: [59][1870/11272] Time 0.859 (0.791) Data 0.002 (0.003) Loss 2.1134 (1.9945) Prec@1 43.125 (48.360) Prec@5 78.125 (78.704) Epoch: [59][1880/11272] Time 0.776 (0.791) Data 0.001 (0.003) Loss 1.9760 (1.9944) Prec@1 51.250 (48.367) Prec@5 77.500 (78.699) Epoch: [59][1890/11272] Time 0.808 (0.791) Data 0.001 (0.003) Loss 2.0242 (1.9940) Prec@1 53.125 (48.375) Prec@5 77.500 (78.705) Epoch: [59][1900/11272] Time 0.871 (0.791) Data 0.002 (0.003) Loss 2.0935 (1.9944) Prec@1 48.750 (48.361) Prec@5 77.500 (78.697) Epoch: [59][1910/11272] Time 0.727 (0.791) Data 0.002 (0.003) Loss 2.2410 (1.9941) Prec@1 45.625 (48.375) Prec@5 71.875 (78.699) Epoch: [59][1920/11272] Time 0.729 (0.791) Data 0.002 (0.003) Loss 1.9367 (1.9942) Prec@1 51.250 (48.370) Prec@5 78.125 (78.698) Epoch: [59][1930/11272] Time 0.840 (0.791) Data 0.001 (0.003) Loss 2.0411 (1.9944) Prec@1 50.000 (48.371) Prec@5 77.500 (78.695) Epoch: [59][1940/11272] Time 0.856 (0.791) Data 0.001 (0.003) Loss 2.1367 (1.9940) Prec@1 46.250 (48.380) Prec@5 75.625 (78.698) Epoch: [59][1950/11272] Time 0.727 (0.791) Data 0.002 (0.003) Loss 1.9386 (1.9943) Prec@1 44.375 (48.374) Prec@5 80.000 (78.692) Epoch: [59][1960/11272] Time 0.727 (0.791) Data 0.002 (0.003) Loss 2.0917 (1.9942) Prec@1 48.125 (48.376) Prec@5 76.875 (78.693) Epoch: [59][1970/11272] Time 0.850 (0.791) Data 0.002 (0.003) Loss 2.0474 (1.9943) Prec@1 51.875 (48.373) Prec@5 74.375 (78.684) Epoch: [59][1980/11272] Time 0.841 (0.791) Data 0.002 (0.003) Loss 2.0589 (1.9948) Prec@1 41.875 (48.355) Prec@5 80.000 (78.681) Epoch: [59][1990/11272] Time 0.725 (0.791) Data 0.001 (0.003) Loss 2.0275 (1.9946) Prec@1 48.750 (48.361) Prec@5 75.000 (78.683) Epoch: [59][2000/11272] Time 0.732 (0.791) Data 0.002 (0.003) Loss 2.1124 (1.9945) Prec@1 41.875 (48.368) Prec@5 78.750 (78.685) Epoch: [59][2010/11272] Time 0.828 (0.791) Data 0.001 (0.003) Loss 1.9819 (1.9944) Prec@1 45.000 (48.367) Prec@5 77.500 (78.685) Epoch: [59][2020/11272] Time 0.715 (0.791) Data 0.003 (0.003) Loss 2.0473 (1.9945) Prec@1 50.000 (48.361) Prec@5 79.375 (78.682) Epoch: [59][2030/11272] Time 0.743 (0.791) Data 0.002 (0.003) Loss 2.0297 (1.9949) Prec@1 44.375 (48.346) Prec@5 78.125 (78.677) Epoch: [59][2040/11272] Time 0.841 (0.791) Data 0.002 (0.003) Loss 2.1402 (1.9948) Prec@1 43.750 (48.350) Prec@5 76.250 (78.684) Epoch: [59][2050/11272] Time 0.863 (0.791) Data 0.002 (0.003) Loss 2.2750 (1.9951) Prec@1 41.250 (48.346) Prec@5 76.250 (78.681) Epoch: [59][2060/11272] Time 0.739 (0.791) Data 0.002 (0.003) Loss 2.0375 (1.9957) Prec@1 47.500 (48.335) Prec@5 78.125 (78.678) Epoch: [59][2070/11272] Time 0.726 (0.791) Data 0.002 (0.003) Loss 1.9508 (1.9955) Prec@1 55.000 (48.339) Prec@5 75.625 (78.680) Epoch: [59][2080/11272] Time 0.837 (0.792) Data 0.002 (0.003) Loss 1.8546 (1.9954) Prec@1 53.125 (48.342) Prec@5 78.750 (78.673) Epoch: [59][2090/11272] Time 0.849 (0.792) Data 0.002 (0.003) Loss 2.0287 (1.9953) Prec@1 42.500 (48.341) Prec@5 80.625 (78.673) Epoch: [59][2100/11272] Time 0.711 (0.792) Data 0.001 (0.003) Loss 1.9282 (1.9950) Prec@1 51.875 (48.353) Prec@5 80.625 (78.675) Epoch: [59][2110/11272] Time 0.732 (0.792) Data 0.001 (0.003) Loss 1.8346 (1.9948) Prec@1 50.000 (48.353) Prec@5 83.750 (78.678) Epoch: [59][2120/11272] Time 0.865 (0.792) Data 0.002 (0.003) Loss 1.9815 (1.9949) Prec@1 48.750 (48.355) Prec@5 76.875 (78.678) Epoch: [59][2130/11272] Time 0.920 (0.792) Data 0.001 (0.003) Loss 1.7952 (1.9950) Prec@1 51.250 (48.352) Prec@5 80.000 (78.675) Epoch: [59][2140/11272] Time 0.748 (0.792) Data 0.002 (0.003) Loss 1.9298 (1.9950) Prec@1 46.250 (48.347) Prec@5 79.375 (78.677) Epoch: [59][2150/11272] Time 0.923 (0.792) Data 0.004 (0.003) Loss 2.1339 (1.9950) Prec@1 41.250 (48.347) Prec@5 76.875 (78.679) Epoch: [59][2160/11272] Time 0.915 (0.792) Data 0.002 (0.003) Loss 2.0029 (1.9948) Prec@1 51.250 (48.353) Prec@5 76.875 (78.684) Epoch: [59][2170/11272] Time 0.735 (0.792) Data 0.002 (0.003) Loss 2.1137 (1.9949) Prec@1 44.375 (48.347) Prec@5 78.125 (78.689) Epoch: [59][2180/11272] Time 0.758 (0.793) Data 0.002 (0.003) Loss 2.2220 (1.9951) Prec@1 46.875 (48.341) Prec@5 70.000 (78.686) Epoch: [59][2190/11272] Time 0.848 (0.793) Data 0.001 (0.003) Loss 2.1408 (1.9953) Prec@1 43.750 (48.340) Prec@5 72.500 (78.680) Epoch: [59][2200/11272] Time 0.969 (0.793) Data 0.002 (0.003) Loss 2.0509 (1.9952) Prec@1 49.375 (48.340) Prec@5 80.000 (78.684) Epoch: [59][2210/11272] Time 0.738 (0.793) Data 0.002 (0.003) Loss 1.9704 (1.9953) Prec@1 50.625 (48.335) Prec@5 80.625 (78.683) Epoch: [59][2220/11272] Time 0.770 (0.793) Data 0.002 (0.003) Loss 1.9116 (1.9954) Prec@1 48.125 (48.334) Prec@5 82.500 (78.681) Epoch: [59][2230/11272] Time 0.835 (0.793) Data 0.002 (0.003) Loss 2.1402 (1.9954) Prec@1 45.000 (48.330) Prec@5 80.000 (78.683) Epoch: [59][2240/11272] Time 0.877 (0.793) Data 0.001 (0.003) Loss 2.0456 (1.9956) Prec@1 51.875 (48.322) Prec@5 78.750 (78.679) Epoch: [59][2250/11272] Time 0.720 (0.793) Data 0.002 (0.003) Loss 2.2290 (1.9957) Prec@1 42.500 (48.318) Prec@5 78.750 (78.678) Epoch: [59][2260/11272] Time 0.735 (0.793) Data 0.002 (0.003) Loss 2.1396 (1.9958) Prec@1 45.625 (48.316) Prec@5 77.500 (78.678) Epoch: [59][2270/11272] Time 0.855 (0.793) Data 0.002 (0.003) Loss 1.7975 (1.9954) Prec@1 53.750 (48.324) Prec@5 82.500 (78.687) Epoch: [59][2280/11272] Time 0.766 (0.793) Data 0.003 (0.003) Loss 1.8791 (1.9956) Prec@1 46.875 (48.317) Prec@5 83.750 (78.685) Epoch: [59][2290/11272] Time 0.741 (0.793) Data 0.002 (0.003) Loss 2.0230 (1.9961) Prec@1 48.125 (48.312) Prec@5 78.125 (78.679) Epoch: [59][2300/11272] Time 0.877 (0.793) Data 0.001 (0.003) Loss 1.8400 (1.9958) Prec@1 51.250 (48.316) Prec@5 81.875 (78.684) Epoch: [59][2310/11272] Time 0.885 (0.793) Data 0.005 (0.003) Loss 2.0147 (1.9960) Prec@1 48.125 (48.305) Prec@5 80.000 (78.679) Epoch: [59][2320/11272] Time 0.744 (0.793) Data 0.002 (0.003) Loss 1.9042 (1.9959) Prec@1 51.875 (48.304) Prec@5 80.625 (78.683) Epoch: [59][2330/11272] Time 0.751 (0.793) Data 0.001 (0.003) Loss 2.0924 (1.9961) Prec@1 44.375 (48.309) Prec@5 79.375 (78.681) Epoch: [59][2340/11272] Time 0.838 (0.793) Data 0.001 (0.003) Loss 1.9890 (1.9962) Prec@1 48.750 (48.312) Prec@5 76.250 (78.678) Epoch: [59][2350/11272] Time 0.855 (0.793) Data 0.002 (0.003) Loss 1.9943 (1.9960) Prec@1 49.375 (48.320) Prec@5 76.250 (78.678) Epoch: [59][2360/11272] Time 0.732 (0.793) Data 0.002 (0.003) Loss 2.0910 (1.9963) Prec@1 44.375 (48.319) Prec@5 78.750 (78.671) Epoch: [59][2370/11272] Time 0.739 (0.793) Data 0.002 (0.003) Loss 2.2970 (1.9963) Prec@1 40.000 (48.319) Prec@5 75.625 (78.672) Epoch: [59][2380/11272] Time 0.831 (0.793) Data 0.001 (0.003) Loss 1.8535 (1.9964) Prec@1 53.750 (48.320) Prec@5 85.000 (78.673) Epoch: [59][2390/11272] Time 0.850 (0.793) Data 0.003 (0.003) Loss 2.3325 (1.9967) Prec@1 45.000 (48.311) Prec@5 68.750 (78.666) Epoch: [59][2400/11272] Time 0.744 (0.793) Data 0.002 (0.003) Loss 1.9185 (1.9968) Prec@1 52.500 (48.306) Prec@5 81.250 (78.661) Epoch: [59][2410/11272] Time 0.879 (0.793) Data 0.001 (0.003) Loss 1.7756 (1.9969) Prec@1 50.625 (48.304) Prec@5 82.500 (78.660) Epoch: [59][2420/11272] Time 0.852 (0.793) Data 0.002 (0.003) Loss 1.9920 (1.9970) Prec@1 46.250 (48.302) Prec@5 77.500 (78.662) Epoch: [59][2430/11272] Time 0.734 (0.793) Data 0.001 (0.003) Loss 1.9854 (1.9967) Prec@1 48.125 (48.316) Prec@5 81.250 (78.666) Epoch: [59][2440/11272] Time 0.724 (0.793) Data 0.002 (0.003) Loss 2.1150 (1.9963) Prec@1 45.625 (48.321) Prec@5 78.750 (78.674) Epoch: [59][2450/11272] Time 0.845 (0.793) Data 0.002 (0.003) Loss 2.1539 (1.9964) Prec@1 43.125 (48.319) Prec@5 82.500 (78.677) Epoch: [59][2460/11272] Time 0.850 (0.793) Data 0.002 (0.003) Loss 2.1643 (1.9968) Prec@1 46.250 (48.313) Prec@5 77.500 (78.670) Epoch: [59][2470/11272] Time 0.712 (0.793) Data 0.001 (0.003) Loss 2.0427 (1.9966) Prec@1 48.125 (48.318) Prec@5 73.750 (78.670) Epoch: [59][2480/11272] Time 0.738 (0.793) Data 0.002 (0.003) Loss 1.8391 (1.9964) Prec@1 48.125 (48.322) Prec@5 83.750 (78.673) Epoch: [59][2490/11272] Time 0.897 (0.793) Data 0.001 (0.003) Loss 1.6482 (1.9963) Prec@1 55.000 (48.326) Prec@5 83.750 (78.674) Epoch: [59][2500/11272] Time 0.838 (0.793) Data 0.002 (0.003) Loss 1.7021 (1.9962) Prec@1 59.375 (48.331) Prec@5 85.625 (78.682) Epoch: [59][2510/11272] Time 0.730 (0.793) Data 0.002 (0.003) Loss 1.9494 (1.9962) Prec@1 53.750 (48.335) Prec@5 78.750 (78.680) Epoch: [59][2520/11272] Time 0.792 (0.793) Data 0.002 (0.003) Loss 1.6707 (1.9963) Prec@1 55.625 (48.336) Prec@5 85.000 (78.678) Epoch: [59][2530/11272] Time 0.853 (0.793) Data 0.002 (0.003) Loss 2.2446 (1.9963) Prec@1 45.000 (48.335) Prec@5 76.250 (78.676) Epoch: [59][2540/11272] Time 0.814 (0.793) Data 0.002 (0.003) Loss 2.1123 (1.9963) Prec@1 45.625 (48.337) Prec@5 79.375 (78.681) Epoch: [59][2550/11272] Time 0.726 (0.793) Data 0.002 (0.003) Loss 1.9944 (1.9962) Prec@1 42.500 (48.344) Prec@5 80.000 (78.682) Epoch: [59][2560/11272] Time 0.889 (0.793) Data 0.002 (0.003) Loss 1.6442 (1.9958) Prec@1 55.000 (48.350) Prec@5 85.000 (78.685) Epoch: [59][2570/11272] Time 0.828 (0.793) Data 0.002 (0.003) Loss 2.0823 (1.9960) Prec@1 42.500 (48.347) Prec@5 79.375 (78.679) Epoch: [59][2580/11272] Time 0.752 (0.793) Data 0.001 (0.003) Loss 1.7392 (1.9959) Prec@1 55.000 (48.352) Prec@5 80.625 (78.681) Epoch: [59][2590/11272] Time 0.728 (0.793) Data 0.002 (0.003) Loss 1.9368 (1.9961) Prec@1 51.875 (48.350) Prec@5 78.750 (78.676) Epoch: [59][2600/11272] Time 0.837 (0.793) Data 0.001 (0.003) Loss 2.0279 (1.9966) Prec@1 46.875 (48.340) Prec@5 80.000 (78.668) Epoch: [59][2610/11272] Time 0.867 (0.793) Data 0.002 (0.003) Loss 1.9810 (1.9963) Prec@1 51.875 (48.350) Prec@5 78.750 (78.671) Epoch: [59][2620/11272] Time 0.741 (0.793) Data 0.002 (0.003) Loss 1.9489 (1.9964) Prec@1 51.875 (48.346) Prec@5 76.875 (78.672) Epoch: [59][2630/11272] Time 0.723 (0.793) Data 0.002 (0.003) Loss 1.9211 (1.9965) Prec@1 51.875 (48.343) Prec@5 81.250 (78.673) Epoch: [59][2640/11272] Time 0.819 (0.793) Data 0.002 (0.003) Loss 2.1313 (1.9966) Prec@1 43.125 (48.346) Prec@5 76.875 (78.669) Epoch: [59][2650/11272] Time 0.854 (0.793) Data 0.002 (0.003) Loss 1.8360 (1.9963) Prec@1 53.125 (48.352) Prec@5 82.500 (78.672) Epoch: [59][2660/11272] Time 0.729 (0.793) Data 0.001 (0.003) Loss 1.9825 (1.9963) Prec@1 45.000 (48.349) Prec@5 81.250 (78.673) Epoch: [59][2670/11272] Time 0.730 (0.793) Data 0.001 (0.003) Loss 2.0352 (1.9962) Prec@1 45.625 (48.349) Prec@5 81.250 (78.675) Epoch: [59][2680/11272] Time 0.861 (0.793) Data 0.002 (0.003) Loss 1.8132 (1.9962) Prec@1 51.875 (48.353) Prec@5 85.000 (78.677) Epoch: [59][2690/11272] Time 0.742 (0.793) Data 0.001 (0.003) Loss 2.0262 (1.9964) Prec@1 42.500 (48.348) Prec@5 75.000 (78.674) Epoch: [59][2700/11272] Time 0.715 (0.793) Data 0.002 (0.003) Loss 2.1443 (1.9966) Prec@1 47.500 (48.341) Prec@5 73.750 (78.674) Epoch: [59][2710/11272] Time 0.852 (0.793) Data 0.002 (0.003) Loss 1.8682 (1.9965) Prec@1 47.500 (48.345) Prec@5 79.375 (78.676) Epoch: [59][2720/11272] Time 0.849 (0.793) Data 0.001 (0.003) Loss 2.0611 (1.9964) Prec@1 46.250 (48.346) Prec@5 77.500 (78.680) Epoch: [59][2730/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 2.2910 (1.9966) Prec@1 40.625 (48.337) Prec@5 71.250 (78.677) Epoch: [59][2740/11272] Time 0.745 (0.794) Data 0.002 (0.003) Loss 1.8610 (1.9965) Prec@1 55.000 (48.341) Prec@5 81.250 (78.674) Epoch: [59][2750/11272] Time 0.814 (0.794) Data 0.002 (0.003) Loss 2.1561 (1.9967) Prec@1 46.250 (48.335) Prec@5 77.500 (78.671) Epoch: [59][2760/11272] Time 0.830 (0.794) Data 0.002 (0.003) Loss 2.1002 (1.9970) Prec@1 45.000 (48.329) Prec@5 76.875 (78.666) Epoch: [59][2770/11272] Time 0.729 (0.793) Data 0.002 (0.003) Loss 1.8921 (1.9969) Prec@1 53.750 (48.332) Prec@5 82.500 (78.664) Epoch: [59][2780/11272] Time 0.714 (0.793) Data 0.003 (0.003) Loss 1.9724 (1.9966) Prec@1 50.000 (48.341) Prec@5 76.250 (78.666) Epoch: [59][2790/11272] Time 0.840 (0.794) Data 0.002 (0.003) Loss 2.0267 (1.9967) Prec@1 44.375 (48.341) Prec@5 81.250 (78.662) Epoch: [59][2800/11272] Time 0.835 (0.794) Data 0.002 (0.003) Loss 2.0061 (1.9966) Prec@1 45.625 (48.342) Prec@5 78.750 (78.663) Epoch: [59][2810/11272] Time 0.711 (0.794) Data 0.001 (0.003) Loss 1.8709 (1.9965) Prec@1 50.625 (48.344) Prec@5 78.750 (78.661) Epoch: [59][2820/11272] Time 0.875 (0.794) Data 0.002 (0.003) Loss 2.0980 (1.9963) Prec@1 53.125 (48.350) Prec@5 78.125 (78.667) Epoch: [59][2830/11272] Time 0.810 (0.794) Data 0.001 (0.003) Loss 2.1032 (1.9964) Prec@1 45.000 (48.346) Prec@5 80.625 (78.668) Epoch: [59][2840/11272] Time 0.810 (0.794) Data 0.002 (0.003) Loss 1.8460 (1.9962) Prec@1 53.125 (48.352) Prec@5 85.000 (78.673) Epoch: [59][2850/11272] Time 0.738 (0.794) Data 0.002 (0.003) Loss 2.0393 (1.9961) Prec@1 49.375 (48.355) Prec@5 76.250 (78.676) Epoch: [59][2860/11272] Time 0.901 (0.794) Data 0.002 (0.003) Loss 2.0540 (1.9960) Prec@1 43.750 (48.351) Prec@5 78.750 (78.680) Epoch: [59][2870/11272] Time 0.874 (0.794) Data 0.002 (0.003) Loss 1.9690 (1.9962) Prec@1 48.125 (48.350) Prec@5 77.500 (78.674) Epoch: [59][2880/11272] Time 0.750 (0.794) Data 0.002 (0.003) Loss 1.9550 (1.9964) Prec@1 44.375 (48.344) Prec@5 80.625 (78.671) Epoch: [59][2890/11272] Time 0.752 (0.794) Data 0.002 (0.003) Loss 1.8909 (1.9964) Prec@1 50.625 (48.341) Prec@5 79.375 (78.672) Epoch: [59][2900/11272] Time 0.893 (0.794) Data 0.002 (0.003) Loss 2.0818 (1.9966) Prec@1 44.375 (48.340) Prec@5 79.375 (78.665) Epoch: [59][2910/11272] Time 0.846 (0.794) Data 0.002 (0.003) Loss 2.1358 (1.9966) Prec@1 50.625 (48.340) Prec@5 79.375 (78.667) Epoch: [59][2920/11272] Time 0.715 (0.794) Data 0.002 (0.003) Loss 2.0910 (1.9965) Prec@1 46.250 (48.339) Prec@5 79.375 (78.671) Epoch: [59][2930/11272] Time 0.721 (0.794) Data 0.002 (0.003) Loss 1.9769 (1.9965) Prec@1 46.250 (48.331) Prec@5 81.875 (78.674) Epoch: [59][2940/11272] Time 0.884 (0.794) Data 0.002 (0.003) Loss 2.1885 (1.9963) Prec@1 40.000 (48.331) Prec@5 75.625 (78.679) Epoch: [59][2950/11272] Time 0.738 (0.794) Data 0.003 (0.003) Loss 2.0897 (1.9965) Prec@1 45.000 (48.326) Prec@5 77.500 (78.674) Epoch: [59][2960/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 1.7219 (1.9963) Prec@1 53.750 (48.332) Prec@5 87.500 (78.680) Epoch: [59][2970/11272] Time 0.879 (0.794) Data 0.002 (0.003) Loss 1.6658 (1.9960) Prec@1 56.250 (48.335) Prec@5 83.750 (78.685) Epoch: [59][2980/11272] Time 0.821 (0.794) Data 0.004 (0.003) Loss 2.0041 (1.9963) Prec@1 46.875 (48.337) Prec@5 80.625 (78.681) Epoch: [59][2990/11272] Time 0.740 (0.794) Data 0.002 (0.003) Loss 1.9688 (1.9963) Prec@1 46.250 (48.338) Prec@5 76.250 (78.681) Epoch: [59][3000/11272] Time 0.739 (0.795) Data 0.001 (0.003) Loss 2.0022 (1.9964) Prec@1 50.000 (48.339) Prec@5 76.875 (78.678) Epoch: [59][3010/11272] Time 0.870 (0.795) Data 0.002 (0.003) Loss 1.8096 (1.9965) Prec@1 55.000 (48.335) Prec@5 80.000 (78.677) Epoch: [59][3020/11272] Time 0.861 (0.795) Data 0.001 (0.003) Loss 1.8523 (1.9966) Prec@1 50.625 (48.336) Prec@5 80.000 (78.673) Epoch: [59][3030/11272] Time 0.769 (0.795) Data 0.001 (0.003) Loss 1.9899 (1.9968) Prec@1 47.500 (48.331) Prec@5 80.000 (78.668) Epoch: [59][3040/11272] Time 0.777 (0.795) Data 0.002 (0.003) Loss 1.9273 (1.9968) Prec@1 46.875 (48.332) Prec@5 80.000 (78.670) Epoch: [59][3050/11272] Time 0.853 (0.795) Data 0.002 (0.003) Loss 2.3043 (1.9967) Prec@1 48.125 (48.335) Prec@5 74.375 (78.674) Epoch: [59][3060/11272] Time 0.839 (0.795) Data 0.001 (0.003) Loss 2.1631 (1.9968) Prec@1 43.750 (48.334) Prec@5 77.500 (78.674) Epoch: [59][3070/11272] Time 0.729 (0.795) Data 0.002 (0.003) Loss 2.3725 (1.9969) Prec@1 41.250 (48.330) Prec@5 71.250 (78.669) Epoch: [59][3080/11272] Time 0.878 (0.795) Data 0.001 (0.003) Loss 1.8568 (1.9970) Prec@1 49.375 (48.326) Prec@5 83.125 (78.667) Epoch: [59][3090/11272] Time 0.812 (0.795) Data 0.002 (0.003) Loss 1.9396 (1.9969) Prec@1 44.375 (48.323) Prec@5 80.625 (78.667) Epoch: [59][3100/11272] Time 0.736 (0.795) Data 0.001 (0.003) Loss 2.2583 (1.9970) Prec@1 46.250 (48.325) Prec@5 78.125 (78.668) Epoch: [59][3110/11272] Time 0.730 (0.795) Data 0.002 (0.003) Loss 1.9401 (1.9972) Prec@1 46.250 (48.319) Prec@5 80.625 (78.660) Epoch: [59][3120/11272] Time 0.906 (0.795) Data 0.001 (0.003) Loss 1.9374 (1.9973) Prec@1 50.000 (48.318) Prec@5 80.625 (78.656) Epoch: [59][3130/11272] Time 0.805 (0.795) Data 0.001 (0.003) Loss 2.0962 (1.9973) Prec@1 41.250 (48.318) Prec@5 76.875 (78.655) Epoch: [59][3140/11272] Time 0.761 (0.794) Data 0.002 (0.003) Loss 2.1555 (1.9974) Prec@1 49.375 (48.320) Prec@5 79.375 (78.655) Epoch: [59][3150/11272] Time 0.774 (0.794) Data 0.002 (0.003) Loss 1.9658 (1.9974) Prec@1 48.750 (48.319) Prec@5 76.875 (78.655) Epoch: [59][3160/11272] Time 0.870 (0.795) Data 0.001 (0.003) Loss 1.8926 (1.9972) Prec@1 50.000 (48.330) Prec@5 83.125 (78.657) Epoch: [59][3170/11272] Time 0.925 (0.795) Data 0.001 (0.003) Loss 1.8805 (1.9971) Prec@1 48.750 (48.330) Prec@5 81.250 (78.656) Epoch: [59][3180/11272] Time 0.737 (0.795) Data 0.001 (0.003) Loss 1.9356 (1.9971) Prec@1 45.000 (48.328) Prec@5 79.375 (78.655) Epoch: [59][3190/11272] Time 0.708 (0.795) Data 0.002 (0.003) Loss 1.9607 (1.9969) Prec@1 48.125 (48.327) Prec@5 76.250 (78.658) Epoch: [59][3200/11272] Time 0.891 (0.795) Data 0.002 (0.003) Loss 2.0356 (1.9969) Prec@1 46.250 (48.326) Prec@5 80.625 (78.658) Epoch: [59][3210/11272] Time 0.719 (0.795) Data 0.003 (0.003) Loss 1.9329 (1.9971) Prec@1 56.875 (48.322) Prec@5 75.000 (78.650) Epoch: [59][3220/11272] Time 0.729 (0.795) Data 0.001 (0.003) Loss 2.3195 (1.9972) Prec@1 42.500 (48.320) Prec@5 73.750 (78.650) Epoch: [59][3230/11272] Time 0.854 (0.795) Data 0.002 (0.003) Loss 1.9613 (1.9971) Prec@1 48.750 (48.319) Prec@5 77.500 (78.651) Epoch: [59][3240/11272] Time 0.849 (0.795) Data 0.002 (0.003) Loss 1.8208 (1.9971) Prec@1 55.625 (48.325) Prec@5 80.625 (78.649) Epoch: [59][3250/11272] Time 0.739 (0.795) Data 0.002 (0.003) Loss 2.1322 (1.9969) Prec@1 46.250 (48.325) Prec@5 76.250 (78.651) Epoch: [59][3260/11272] Time 0.742 (0.795) Data 0.002 (0.003) Loss 1.8338 (1.9968) Prec@1 53.125 (48.328) Prec@5 82.500 (78.658) Epoch: [59][3270/11272] Time 0.879 (0.795) Data 0.001 (0.003) Loss 2.1758 (1.9966) Prec@1 41.875 (48.329) Prec@5 78.125 (78.657) Epoch: [59][3280/11272] Time 0.911 (0.795) Data 0.002 (0.003) Loss 2.0484 (1.9966) Prec@1 47.500 (48.327) Prec@5 76.250 (78.656) Epoch: [59][3290/11272] Time 0.738 (0.795) Data 0.002 (0.003) Loss 1.8651 (1.9967) Prec@1 49.375 (48.323) Prec@5 78.750 (78.653) Epoch: [59][3300/11272] Time 0.774 (0.795) Data 0.002 (0.003) Loss 1.9462 (1.9966) Prec@1 45.000 (48.327) Prec@5 79.375 (78.652) Epoch: [59][3310/11272] Time 0.851 (0.795) Data 0.002 (0.003) Loss 2.0841 (1.9967) Prec@1 44.375 (48.328) Prec@5 80.000 (78.649) Epoch: [59][3320/11272] Time 0.852 (0.795) Data 0.002 (0.003) Loss 1.9424 (1.9967) Prec@1 49.375 (48.330) Prec@5 83.750 (78.648) Epoch: [59][3330/11272] Time 0.731 (0.795) Data 0.001 (0.003) Loss 2.2127 (1.9968) Prec@1 47.500 (48.327) Prec@5 71.250 (78.646) Epoch: [59][3340/11272] Time 0.827 (0.795) Data 0.002 (0.003) Loss 2.0687 (1.9969) Prec@1 44.375 (48.325) Prec@5 76.875 (78.647) Epoch: [59][3350/11272] Time 0.930 (0.795) Data 0.001 (0.003) Loss 1.8972 (1.9969) Prec@1 45.625 (48.324) Prec@5 82.500 (78.648) Epoch: [59][3360/11272] Time 0.778 (0.795) Data 0.001 (0.003) Loss 2.2250 (1.9970) Prec@1 45.000 (48.323) Prec@5 71.875 (78.646) Epoch: [59][3370/11272] Time 0.777 (0.795) Data 0.002 (0.003) Loss 2.0870 (1.9973) Prec@1 46.875 (48.317) Prec@5 79.375 (78.643) Epoch: [59][3380/11272] Time 0.896 (0.795) Data 0.002 (0.003) Loss 2.2023 (1.9973) Prec@1 45.625 (48.321) Prec@5 73.750 (78.641) Epoch: [59][3390/11272] Time 0.871 (0.795) Data 0.003 (0.003) Loss 2.2025 (1.9974) Prec@1 39.375 (48.315) Prec@5 78.750 (78.643) Epoch: [59][3400/11272] Time 0.752 (0.795) Data 0.002 (0.003) Loss 2.0142 (1.9976) Prec@1 47.500 (48.314) Prec@5 78.750 (78.635) Epoch: [59][3410/11272] Time 0.731 (0.795) Data 0.001 (0.003) Loss 1.9393 (1.9976) Prec@1 46.875 (48.308) Prec@5 79.375 (78.635) Epoch: [59][3420/11272] Time 0.875 (0.795) Data 0.002 (0.003) Loss 2.0001 (1.9976) Prec@1 42.500 (48.305) Prec@5 81.875 (78.638) Epoch: [59][3430/11272] Time 0.813 (0.795) Data 0.001 (0.003) Loss 1.8932 (1.9975) Prec@1 50.625 (48.306) Prec@5 78.750 (78.638) Epoch: [59][3440/11272] Time 0.731 (0.795) Data 0.002 (0.003) Loss 1.9845 (1.9974) Prec@1 45.625 (48.303) Prec@5 80.000 (78.641) Epoch: [59][3450/11272] Time 0.733 (0.795) Data 0.002 (0.003) Loss 2.1451 (1.9974) Prec@1 43.750 (48.298) Prec@5 75.625 (78.641) Epoch: [59][3460/11272] Time 0.847 (0.795) Data 0.002 (0.003) Loss 2.0015 (1.9974) Prec@1 48.750 (48.295) Prec@5 80.625 (78.642) Epoch: [59][3470/11272] Time 0.844 (0.795) Data 0.002 (0.003) Loss 1.9850 (1.9976) Prec@1 48.125 (48.291) Prec@5 81.875 (78.638) Epoch: [59][3480/11272] Time 0.724 (0.795) Data 0.005 (0.003) Loss 2.0726 (1.9976) Prec@1 43.125 (48.287) Prec@5 77.500 (78.640) Epoch: [59][3490/11272] Time 0.860 (0.795) Data 0.002 (0.002) Loss 2.2113 (1.9976) Prec@1 41.250 (48.285) Prec@5 79.375 (78.642) Epoch: [59][3500/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 1.9376 (1.9976) Prec@1 51.875 (48.289) Prec@5 81.250 (78.644) Epoch: [59][3510/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.9121 (1.9978) Prec@1 52.500 (48.284) Prec@5 78.750 (78.640) Epoch: [59][3520/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 2.0858 (1.9978) Prec@1 50.625 (48.285) Prec@5 75.625 (78.640) Epoch: [59][3530/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 1.8100 (1.9978) Prec@1 50.000 (48.284) Prec@5 83.125 (78.641) Epoch: [59][3540/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 1.9879 (1.9981) Prec@1 46.250 (48.278) Prec@5 79.375 (78.637) Epoch: [59][3550/11272] Time 0.707 (0.795) Data 0.001 (0.002) Loss 2.2570 (1.9982) Prec@1 43.750 (48.277) Prec@5 77.500 (78.636) Epoch: [59][3560/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 2.0648 (1.9983) Prec@1 50.000 (48.277) Prec@5 77.500 (78.633) Epoch: [59][3570/11272] Time 0.835 (0.795) Data 0.002 (0.002) Loss 2.2569 (1.9983) Prec@1 46.250 (48.276) Prec@5 76.250 (78.636) Epoch: [59][3580/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 2.3551 (1.9987) Prec@1 42.500 (48.270) Prec@5 69.375 (78.624) Epoch: [59][3590/11272] Time 0.740 (0.795) Data 0.002 (0.002) Loss 2.2477 (1.9987) Prec@1 43.125 (48.270) Prec@5 75.625 (78.625) Epoch: [59][3600/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.9360 (1.9986) Prec@1 51.875 (48.272) Prec@5 77.500 (78.627) Epoch: [59][3610/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 1.9035 (1.9986) Prec@1 45.625 (48.271) Prec@5 77.500 (78.628) Epoch: [59][3620/11272] Time 0.757 (0.795) Data 0.001 (0.002) Loss 2.1219 (1.9988) Prec@1 44.375 (48.266) Prec@5 75.000 (78.625) Epoch: [59][3630/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.2623 (1.9990) Prec@1 39.375 (48.266) Prec@5 75.625 (78.622) Epoch: [59][3640/11272] Time 0.898 (0.795) Data 0.001 (0.002) Loss 1.8203 (1.9990) Prec@1 48.125 (48.269) Prec@5 81.875 (78.622) Epoch: [59][3650/11272] Time 0.899 (0.795) Data 0.002 (0.002) Loss 1.9700 (1.9990) Prec@1 48.125 (48.265) Prec@5 81.250 (78.620) Epoch: [59][3660/11272] Time 0.745 (0.796) Data 0.001 (0.002) Loss 2.0360 (1.9989) Prec@1 45.625 (48.266) Prec@5 75.000 (78.619) Epoch: [59][3670/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 1.9533 (1.9989) Prec@1 47.500 (48.266) Prec@5 75.000 (78.618) Epoch: [59][3680/11272] Time 0.838 (0.796) Data 0.002 (0.002) Loss 1.8282 (1.9989) Prec@1 50.625 (48.269) Prec@5 82.500 (78.617) Epoch: [59][3690/11272] Time 0.832 (0.796) Data 0.001 (0.002) Loss 2.0701 (1.9989) Prec@1 45.625 (48.271) Prec@5 78.750 (78.614) Epoch: [59][3700/11272] Time 0.737 (0.796) Data 0.002 (0.002) Loss 2.2714 (1.9991) Prec@1 41.250 (48.266) Prec@5 78.125 (78.612) Epoch: [59][3710/11272] Time 0.721 (0.796) Data 0.002 (0.002) Loss 2.0179 (1.9990) Prec@1 45.625 (48.267) Prec@5 83.750 (78.616) Epoch: [59][3720/11272] Time 0.805 (0.796) Data 0.002 (0.002) Loss 2.1718 (1.9988) Prec@1 45.000 (48.270) Prec@5 73.125 (78.622) Epoch: [59][3730/11272] Time 0.805 (0.796) Data 0.002 (0.002) Loss 2.2876 (1.9989) Prec@1 41.875 (48.266) Prec@5 73.125 (78.623) Epoch: [59][3740/11272] Time 0.750 (0.796) Data 0.002 (0.002) Loss 2.2001 (1.9991) Prec@1 46.875 (48.260) Prec@5 73.125 (78.620) Epoch: [59][3750/11272] Time 0.858 (0.796) Data 0.002 (0.002) Loss 1.7812 (1.9991) Prec@1 55.625 (48.263) Prec@5 80.000 (78.621) Epoch: [59][3760/11272] Time 0.847 (0.796) Data 0.001 (0.002) Loss 1.9757 (1.9992) Prec@1 43.750 (48.263) Prec@5 78.750 (78.616) Epoch: [59][3770/11272] Time 0.728 (0.796) Data 0.002 (0.002) Loss 2.1160 (1.9993) Prec@1 45.625 (48.260) Prec@5 75.625 (78.616) Epoch: [59][3780/11272] Time 0.723 (0.796) Data 0.002 (0.002) Loss 1.9750 (1.9993) Prec@1 46.250 (48.255) Prec@5 77.500 (78.616) Epoch: [59][3790/11272] Time 0.879 (0.795) Data 0.002 (0.002) Loss 2.1785 (1.9994) Prec@1 46.250 (48.252) Prec@5 75.000 (78.616) Epoch: [59][3800/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.1198 (1.9994) Prec@1 45.000 (48.247) Prec@5 75.000 (78.613) Epoch: [59][3810/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 2.0477 (1.9993) Prec@1 48.750 (48.245) Prec@5 80.000 (78.615) Epoch: [59][3820/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.6902 (1.9992) Prec@1 53.750 (48.255) Prec@5 83.125 (78.617) Epoch: [59][3830/11272] Time 0.869 (0.796) Data 0.001 (0.002) Loss 2.1048 (1.9993) Prec@1 48.125 (48.254) Prec@5 79.375 (78.619) Epoch: [59][3840/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 1.8514 (1.9993) Prec@1 49.375 (48.250) Prec@5 82.500 (78.619) Epoch: [59][3850/11272] Time 0.764 (0.796) Data 0.002 (0.002) Loss 2.0763 (1.9995) Prec@1 47.500 (48.245) Prec@5 78.750 (78.617) Epoch: [59][3860/11272] Time 0.739 (0.796) Data 0.001 (0.002) Loss 1.9008 (1.9994) Prec@1 50.625 (48.249) Prec@5 80.625 (78.620) Epoch: [59][3870/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 1.9446 (1.9995) Prec@1 48.125 (48.246) Prec@5 80.625 (78.618) Epoch: [59][3880/11272] Time 0.743 (0.796) Data 0.003 (0.002) Loss 1.8560 (1.9993) Prec@1 55.000 (48.249) Prec@5 80.625 (78.621) Epoch: [59][3890/11272] Time 0.768 (0.796) Data 0.002 (0.002) Loss 1.9480 (1.9992) Prec@1 52.500 (48.257) Prec@5 81.250 (78.621) Epoch: [59][3900/11272] Time 0.905 (0.796) Data 0.002 (0.002) Loss 2.0128 (1.9993) Prec@1 41.875 (48.252) Prec@5 80.625 (78.626) Epoch: [59][3910/11272] Time 0.818 (0.796) Data 0.001 (0.002) Loss 2.1668 (1.9996) Prec@1 47.500 (48.250) Prec@5 75.000 (78.620) Epoch: [59][3920/11272] Time 0.714 (0.796) Data 0.001 (0.002) Loss 2.2414 (1.9997) Prec@1 39.375 (48.245) Prec@5 70.000 (78.615) Epoch: [59][3930/11272] Time 0.768 (0.796) Data 0.002 (0.002) Loss 1.9094 (1.9998) Prec@1 53.125 (48.244) Prec@5 81.875 (78.614) Epoch: [59][3940/11272] Time 0.832 (0.796) Data 0.002 (0.002) Loss 2.0751 (1.9999) Prec@1 45.000 (48.240) Prec@5 75.625 (78.610) Epoch: [59][3950/11272] Time 0.831 (0.796) Data 0.002 (0.002) Loss 2.2754 (1.9999) Prec@1 43.125 (48.239) Prec@5 69.375 (78.609) Epoch: [59][3960/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.0326 (2.0000) Prec@1 43.750 (48.236) Prec@5 78.750 (78.605) Epoch: [59][3970/11272] Time 0.794 (0.796) Data 0.002 (0.002) Loss 1.9485 (2.0002) Prec@1 52.500 (48.236) Prec@5 78.125 (78.603) Epoch: [59][3980/11272] Time 0.868 (0.796) Data 0.002 (0.002) Loss 1.9827 (2.0001) Prec@1 49.375 (48.239) Prec@5 76.250 (78.602) Epoch: [59][3990/11272] Time 0.832 (0.796) Data 0.001 (0.002) Loss 1.9646 (2.0001) Prec@1 45.625 (48.234) Prec@5 82.500 (78.605) Epoch: [59][4000/11272] Time 0.753 (0.796) Data 0.002 (0.002) Loss 2.0644 (2.0002) Prec@1 51.250 (48.230) Prec@5 77.500 (78.605) Epoch: [59][4010/11272] Time 0.850 (0.796) Data 0.001 (0.002) Loss 1.8314 (2.0002) Prec@1 51.875 (48.231) Prec@5 80.625 (78.607) Epoch: [59][4020/11272] Time 0.849 (0.796) Data 0.001 (0.002) Loss 1.9287 (2.0002) Prec@1 50.625 (48.226) Prec@5 78.750 (78.606) Epoch: [59][4030/11272] Time 0.754 (0.796) Data 0.001 (0.002) Loss 2.0959 (2.0002) Prec@1 44.375 (48.224) Prec@5 76.250 (78.605) Epoch: [59][4040/11272] Time 0.784 (0.796) Data 0.002 (0.002) Loss 1.8196 (2.0001) Prec@1 52.500 (48.230) Prec@5 81.875 (78.605) Epoch: [59][4050/11272] Time 0.966 (0.796) Data 0.002 (0.002) Loss 1.9902 (2.0000) Prec@1 50.000 (48.231) Prec@5 80.000 (78.608) Epoch: [59][4060/11272] Time 0.847 (0.796) Data 0.002 (0.002) Loss 1.8200 (1.9998) Prec@1 52.500 (48.236) Prec@5 82.500 (78.610) Epoch: [59][4070/11272] Time 0.737 (0.796) Data 0.002 (0.002) Loss 1.9983 (1.9999) Prec@1 47.500 (48.234) Prec@5 77.500 (78.607) Epoch: [59][4080/11272] Time 0.768 (0.796) Data 0.002 (0.002) Loss 2.3074 (2.0002) Prec@1 46.250 (48.229) Prec@5 69.375 (78.601) Epoch: [59][4090/11272] Time 0.837 (0.796) Data 0.001 (0.002) Loss 1.9007 (2.0003) Prec@1 52.500 (48.227) Prec@5 78.125 (78.599) Epoch: [59][4100/11272] Time 0.928 (0.796) Data 0.002 (0.002) Loss 2.1384 (2.0003) Prec@1 45.625 (48.227) Prec@5 78.125 (78.599) Epoch: [59][4110/11272] Time 0.768 (0.796) Data 0.002 (0.002) Loss 2.0453 (2.0004) Prec@1 46.250 (48.222) Prec@5 79.375 (78.600) Epoch: [59][4120/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 1.8150 (2.0003) Prec@1 55.000 (48.221) Prec@5 79.375 (78.601) Epoch: [59][4130/11272] Time 0.898 (0.796) Data 0.003 (0.002) Loss 2.0713 (2.0004) Prec@1 50.000 (48.223) Prec@5 75.000 (78.602) Epoch: [59][4140/11272] Time 0.733 (0.796) Data 0.004 (0.002) Loss 2.1447 (2.0004) Prec@1 44.375 (48.221) Prec@5 73.750 (78.603) Epoch: [59][4150/11272] Time 0.761 (0.796) Data 0.002 (0.002) Loss 1.8686 (2.0004) Prec@1 49.375 (48.221) Prec@5 83.750 (78.601) Epoch: [59][4160/11272] Time 0.852 (0.796) Data 0.002 (0.002) Loss 2.1611 (2.0005) Prec@1 43.750 (48.217) Prec@5 76.875 (78.598) Epoch: [59][4170/11272] Time 0.815 (0.796) Data 0.001 (0.002) Loss 2.0660 (2.0005) Prec@1 47.500 (48.215) Prec@5 75.000 (78.598) Epoch: [59][4180/11272] Time 0.739 (0.796) Data 0.002 (0.002) Loss 2.2314 (2.0005) Prec@1 46.875 (48.216) Prec@5 75.625 (78.598) Epoch: [59][4190/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 2.1288 (2.0006) Prec@1 46.875 (48.213) Prec@5 81.250 (78.597) Epoch: [59][4200/11272] Time 0.899 (0.797) Data 0.002 (0.002) Loss 2.0797 (2.0006) Prec@1 45.625 (48.214) Prec@5 77.500 (78.598) Epoch: [59][4210/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.9478 (2.0007) Prec@1 48.750 (48.209) Prec@5 78.125 (78.595) Epoch: [59][4220/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.9441 (2.0008) Prec@1 48.750 (48.205) Prec@5 78.125 (78.593) Epoch: [59][4230/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.8300 (2.0010) Prec@1 51.875 (48.204) Prec@5 84.375 (78.593) Epoch: [59][4240/11272] Time 0.900 (0.797) Data 0.002 (0.002) Loss 2.0545 (2.0008) Prec@1 49.375 (48.209) Prec@5 77.500 (78.595) Epoch: [59][4250/11272] Time 0.864 (0.797) Data 0.003 (0.002) Loss 1.9354 (2.0009) Prec@1 50.625 (48.212) Prec@5 75.625 (78.594) Epoch: [59][4260/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.8225 (2.0008) Prec@1 53.750 (48.216) Prec@5 80.000 (78.592) Epoch: [59][4270/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 1.9421 (2.0010) Prec@1 48.750 (48.214) Prec@5 80.625 (78.591) Epoch: [59][4280/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.9049 (2.0010) Prec@1 48.750 (48.213) Prec@5 81.250 (78.590) Epoch: [59][4290/11272] Time 0.757 (0.797) Data 0.001 (0.002) Loss 1.9619 (2.0010) Prec@1 47.500 (48.209) Prec@5 76.875 (78.591) Epoch: [59][4300/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 2.0826 (2.0010) Prec@1 49.375 (48.209) Prec@5 78.750 (78.588) Epoch: [59][4310/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 2.1671 (2.0011) Prec@1 46.875 (48.209) Prec@5 75.625 (78.587) Epoch: [59][4320/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.0542 (2.0011) Prec@1 51.250 (48.211) Prec@5 76.875 (78.585) Epoch: [59][4330/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 2.3408 (2.0010) Prec@1 38.750 (48.212) Prec@5 70.625 (78.586) Epoch: [59][4340/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9377 (2.0010) Prec@1 50.625 (48.212) Prec@5 79.375 (78.588) Epoch: [59][4350/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9182 (2.0008) Prec@1 51.875 (48.215) Prec@5 78.125 (78.590) Epoch: [59][4360/11272] Time 0.832 (0.797) Data 0.002 (0.002) Loss 2.1428 (2.0009) Prec@1 48.750 (48.212) Prec@5 75.000 (78.592) Epoch: [59][4370/11272] Time 0.768 (0.797) Data 0.002 (0.002) Loss 2.0709 (2.0009) Prec@1 46.250 (48.212) Prec@5 78.125 (78.589) Epoch: [59][4380/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.8941 (2.0009) Prec@1 51.250 (48.215) Prec@5 82.500 (78.592) Epoch: [59][4390/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.9280 (2.0011) Prec@1 50.625 (48.212) Prec@5 81.250 (78.588) Epoch: [59][4400/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 1.9360 (2.0011) Prec@1 46.250 (48.214) Prec@5 79.375 (78.588) Epoch: [59][4410/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8965 (2.0011) Prec@1 51.250 (48.215) Prec@5 83.125 (78.589) Epoch: [59][4420/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 2.0624 (2.0009) Prec@1 45.625 (48.219) Prec@5 80.000 (78.593) Epoch: [59][4430/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.8277 (2.0007) Prec@1 48.750 (48.223) Prec@5 82.500 (78.597) Epoch: [59][4440/11272] Time 0.726 (0.797) Data 0.001 (0.002) Loss 1.8729 (2.0008) Prec@1 51.875 (48.222) Prec@5 80.000 (78.597) Epoch: [59][4450/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.9372 (2.0007) Prec@1 48.750 (48.225) Prec@5 83.125 (78.602) Epoch: [59][4460/11272] Time 0.880 (0.797) Data 0.002 (0.002) Loss 1.6725 (2.0008) Prec@1 56.250 (48.224) Prec@5 84.375 (78.598) Epoch: [59][4470/11272] Time 0.854 (0.797) Data 0.002 (0.002) Loss 2.1705 (2.0008) Prec@1 43.750 (48.225) Prec@5 73.750 (78.600) Epoch: [59][4480/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 1.8278 (2.0006) Prec@1 50.625 (48.230) Prec@5 80.000 (78.604) Epoch: [59][4490/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9078 (2.0006) Prec@1 49.375 (48.233) Prec@5 80.625 (78.604) Epoch: [59][4500/11272] Time 0.875 (0.797) Data 0.001 (0.002) Loss 2.2132 (2.0008) Prec@1 42.500 (48.225) Prec@5 75.625 (78.602) Epoch: [59][4510/11272] Time 0.864 (0.797) Data 0.001 (0.002) Loss 1.8619 (2.0008) Prec@1 51.250 (48.225) Prec@5 80.625 (78.604) Epoch: [59][4520/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 1.9038 (2.0007) Prec@1 46.875 (48.224) Prec@5 81.250 (78.608) Epoch: [59][4530/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.8585 (2.0007) Prec@1 54.375 (48.225) Prec@5 81.250 (78.608) Epoch: [59][4540/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 2.2791 (2.0007) Prec@1 41.250 (48.226) Prec@5 72.500 (78.604) Epoch: [59][4550/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.0673 (2.0008) Prec@1 43.125 (48.223) Prec@5 76.875 (78.603) Epoch: [59][4560/11272] Time 0.766 (0.797) Data 0.002 (0.002) Loss 2.0249 (2.0007) Prec@1 49.375 (48.228) Prec@5 79.375 (78.603) Epoch: [59][4570/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 2.1878 (2.0009) Prec@1 36.875 (48.220) Prec@5 73.750 (78.598) Epoch: [59][4580/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 2.0023 (2.0008) Prec@1 48.125 (48.224) Prec@5 80.625 (78.600) Epoch: [59][4590/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.9304 (2.0009) Prec@1 46.250 (48.223) Prec@5 81.250 (78.599) Epoch: [59][4600/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 2.1397 (2.0008) Prec@1 46.250 (48.221) Prec@5 75.000 (78.601) Epoch: [59][4610/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.9722 (2.0008) Prec@1 50.625 (48.220) Prec@5 79.375 (78.600) Epoch: [59][4620/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 2.0701 (2.0008) Prec@1 45.000 (48.218) Prec@5 78.125 (78.601) Epoch: [59][4630/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0522 (2.0009) Prec@1 48.125 (48.216) Prec@5 76.875 (78.598) Epoch: [59][4640/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 2.0296 (2.0009) Prec@1 50.000 (48.219) Prec@5 78.125 (78.597) Epoch: [59][4650/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 2.1366 (2.0010) Prec@1 45.000 (48.216) Prec@5 79.375 (78.599) Epoch: [59][4660/11272] Time 0.814 (0.797) Data 0.002 (0.002) Loss 2.1508 (2.0009) Prec@1 40.000 (48.217) Prec@5 79.375 (78.602) Epoch: [59][4670/11272] Time 0.710 (0.797) Data 0.001 (0.002) Loss 1.9668 (2.0010) Prec@1 50.625 (48.215) Prec@5 76.875 (78.599) Epoch: [59][4680/11272] Time 0.908 (0.797) Data 0.002 (0.002) Loss 2.0728 (2.0011) Prec@1 46.875 (48.211) Prec@5 76.875 (78.599) Epoch: [59][4690/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 1.8858 (2.0010) Prec@1 49.375 (48.212) Prec@5 83.750 (78.601) Epoch: [59][4700/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 1.9304 (2.0010) Prec@1 49.375 (48.214) Prec@5 77.500 (78.603) Epoch: [59][4710/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.9894 (2.0011) Prec@1 50.000 (48.210) Prec@5 80.000 (78.603) Epoch: [59][4720/11272] Time 0.873 (0.797) Data 0.001 (0.002) Loss 2.1493 (2.0011) Prec@1 50.000 (48.210) Prec@5 73.750 (78.602) Epoch: [59][4730/11272] Time 0.815 (0.797) Data 0.001 (0.002) Loss 1.9098 (2.0011) Prec@1 44.375 (48.213) Prec@5 81.250 (78.604) Epoch: [59][4740/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 2.2545 (2.0012) Prec@1 40.000 (48.212) Prec@5 76.875 (78.602) Epoch: [59][4750/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9625 (2.0012) Prec@1 47.500 (48.212) Prec@5 79.375 (78.599) Epoch: [59][4760/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 2.0109 (2.0011) Prec@1 46.875 (48.215) Prec@5 77.500 (78.600) Epoch: [59][4770/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.9865 (2.0013) Prec@1 48.750 (48.211) Prec@5 80.000 (78.599) Epoch: [59][4780/11272] Time 0.736 (0.797) Data 0.002 (0.002) Loss 2.0371 (2.0013) Prec@1 45.625 (48.210) Prec@5 78.750 (78.598) Epoch: [59][4790/11272] Time 0.771 (0.797) Data 0.001 (0.002) Loss 1.9835 (2.0013) Prec@1 44.375 (48.209) Prec@5 81.250 (78.600) Epoch: [59][4800/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.9851 (2.0013) Prec@1 49.375 (48.207) Prec@5 79.375 (78.599) Epoch: [59][4810/11272] Time 0.760 (0.797) Data 0.001 (0.002) Loss 2.2039 (2.0013) Prec@1 46.875 (48.207) Prec@5 76.250 (78.602) Epoch: [59][4820/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 2.1045 (2.0013) Prec@1 42.500 (48.208) Prec@5 74.375 (78.602) Epoch: [59][4830/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 1.9928 (2.0013) Prec@1 53.125 (48.213) Prec@5 80.625 (78.602) Epoch: [59][4840/11272] Time 0.917 (0.797) Data 0.003 (0.002) Loss 2.1902 (2.0015) Prec@1 40.625 (48.208) Prec@5 78.750 (78.598) Epoch: [59][4850/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9766 (2.0014) Prec@1 53.750 (48.210) Prec@5 75.000 (78.599) Epoch: [59][4860/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.9564 (2.0014) Prec@1 44.375 (48.209) Prec@5 80.000 (78.596) Epoch: [59][4870/11272] Time 0.891 (0.797) Data 0.002 (0.002) Loss 1.9715 (2.0015) Prec@1 46.250 (48.208) Prec@5 77.500 (78.595) Epoch: [59][4880/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 2.1194 (2.0015) Prec@1 53.750 (48.207) Prec@5 75.625 (78.595) Epoch: [59][4890/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.2901 (2.0017) Prec@1 41.875 (48.204) Prec@5 70.625 (78.591) Epoch: [59][4900/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.9066 (2.0016) Prec@1 50.000 (48.207) Prec@5 79.375 (78.592) Epoch: [59][4910/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.8831 (2.0015) Prec@1 46.250 (48.210) Prec@5 81.250 (78.593) Epoch: [59][4920/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.2196 (2.0016) Prec@1 42.500 (48.206) Prec@5 75.000 (78.590) Epoch: [59][4930/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 1.9802 (2.0017) Prec@1 48.125 (48.205) Prec@5 80.000 (78.590) Epoch: [59][4940/11272] Time 0.876 (0.797) Data 0.001 (0.002) Loss 2.1812 (2.0019) Prec@1 46.250 (48.206) Prec@5 76.250 (78.587) Epoch: [59][4950/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 1.7957 (2.0018) Prec@1 55.625 (48.207) Prec@5 80.625 (78.591) Epoch: [59][4960/11272] Time 0.763 (0.797) Data 0.002 (0.002) Loss 2.0177 (2.0018) Prec@1 48.125 (48.208) Prec@5 76.875 (78.592) Epoch: [59][4970/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 2.0774 (2.0019) Prec@1 48.750 (48.208) Prec@5 79.375 (78.592) Epoch: [59][4980/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 1.9108 (2.0018) Prec@1 50.625 (48.208) Prec@5 78.125 (78.594) Epoch: [59][4990/11272] Time 0.864 (0.797) Data 0.005 (0.002) Loss 2.2412 (2.0020) Prec@1 40.625 (48.205) Prec@5 76.250 (78.591) Epoch: [59][5000/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 1.8433 (2.0020) Prec@1 53.750 (48.206) Prec@5 79.375 (78.588) Epoch: [59][5010/11272] Time 0.725 (0.797) Data 0.002 (0.002) Loss 2.1253 (2.0021) Prec@1 47.500 (48.203) Prec@5 74.375 (78.586) Epoch: [59][5020/11272] Time 0.804 (0.797) Data 0.002 (0.002) Loss 1.8201 (2.0021) Prec@1 50.625 (48.203) Prec@5 80.625 (78.586) Epoch: [59][5030/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 2.0247 (2.0022) Prec@1 46.250 (48.201) Prec@5 76.875 (78.587) Epoch: [59][5040/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.7368 (2.0021) Prec@1 54.375 (48.200) Prec@5 85.625 (78.589) Epoch: [59][5050/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 2.0163 (2.0020) Prec@1 48.750 (48.202) Prec@5 78.750 (78.592) Epoch: [59][5060/11272] Time 0.907 (0.797) Data 0.002 (0.002) Loss 2.1119 (2.0022) Prec@1 45.625 (48.200) Prec@5 77.500 (78.589) Epoch: [59][5070/11272] Time 0.732 (0.797) Data 0.005 (0.002) Loss 2.0933 (2.0021) Prec@1 44.375 (48.202) Prec@5 78.125 (78.588) Epoch: [59][5080/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 2.0221 (2.0022) Prec@1 39.375 (48.201) Prec@5 84.375 (78.587) Epoch: [59][5090/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 2.0966 (2.0024) Prec@1 51.250 (48.196) Prec@5 76.875 (78.585) Epoch: [59][5100/11272] Time 0.855 (0.797) Data 0.002 (0.002) Loss 2.2987 (2.0025) Prec@1 36.875 (48.192) Prec@5 75.000 (78.582) Epoch: [59][5110/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 2.2718 (2.0026) Prec@1 43.750 (48.189) Prec@5 70.625 (78.578) Epoch: [59][5120/11272] Time 0.723 (0.797) Data 0.002 (0.002) Loss 1.9360 (2.0026) Prec@1 50.625 (48.190) Prec@5 76.875 (78.577) Epoch: [59][5130/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.8450 (2.0027) Prec@1 51.250 (48.187) Prec@5 81.875 (78.576) Epoch: [59][5140/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.7809 (2.0027) Prec@1 51.250 (48.188) Prec@5 87.500 (78.575) Epoch: [59][5150/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 2.1065 (2.0027) Prec@1 47.500 (48.190) Prec@5 78.125 (78.575) Epoch: [59][5160/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 2.0129 (2.0026) Prec@1 42.500 (48.190) Prec@5 80.625 (78.578) Epoch: [59][5170/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 2.2028 (2.0027) Prec@1 46.250 (48.188) Prec@5 73.750 (78.578) Epoch: [59][5180/11272] Time 0.859 (0.797) Data 0.002 (0.002) Loss 1.9608 (2.0028) Prec@1 49.375 (48.184) Prec@5 78.125 (78.576) Epoch: [59][5190/11272] Time 0.749 (0.797) Data 0.001 (0.002) Loss 1.9769 (2.0029) Prec@1 49.375 (48.180) Prec@5 76.875 (78.574) Epoch: [59][5200/11272] Time 0.884 (0.797) Data 0.002 (0.002) Loss 2.0540 (2.0030) Prec@1 45.625 (48.178) Prec@5 77.500 (78.572) Epoch: [59][5210/11272] Time 0.834 (0.797) Data 0.002 (0.002) Loss 2.1295 (2.0031) Prec@1 46.875 (48.175) Prec@5 79.375 (78.572) Epoch: [59][5220/11272] Time 0.783 (0.797) Data 0.002 (0.002) Loss 1.9710 (2.0031) Prec@1 43.125 (48.175) Prec@5 75.625 (78.572) Epoch: [59][5230/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.9429 (2.0031) Prec@1 53.125 (48.175) Prec@5 76.875 (78.571) Epoch: [59][5240/11272] Time 0.940 (0.797) Data 0.002 (0.002) Loss 1.7479 (2.0032) Prec@1 52.500 (48.176) Prec@5 86.250 (78.568) Epoch: [59][5250/11272] Time 0.851 (0.797) Data 0.001 (0.002) Loss 2.0800 (2.0034) Prec@1 50.625 (48.175) Prec@5 76.250 (78.566) Epoch: [59][5260/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9812 (2.0034) Prec@1 47.500 (48.174) Prec@5 80.000 (78.566) Epoch: [59][5270/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 2.0429 (2.0036) Prec@1 45.625 (48.171) Prec@5 76.875 (78.563) Epoch: [59][5280/11272] Time 0.909 (0.797) Data 0.002 (0.002) Loss 2.1636 (2.0036) Prec@1 43.125 (48.170) Prec@5 75.000 (78.563) Epoch: [59][5290/11272] Time 0.873 (0.797) Data 0.001 (0.002) Loss 2.0587 (2.0036) Prec@1 45.625 (48.168) Prec@5 75.000 (78.563) Epoch: [59][5300/11272] Time 0.761 (0.797) Data 0.001 (0.002) Loss 1.9323 (2.0036) Prec@1 51.250 (48.169) Prec@5 80.000 (78.564) Epoch: [59][5310/11272] Time 0.756 (0.798) Data 0.001 (0.002) Loss 2.1767 (2.0035) Prec@1 45.625 (48.168) Prec@5 75.625 (78.564) Epoch: [59][5320/11272] Time 0.955 (0.798) Data 0.002 (0.002) Loss 1.9507 (2.0036) Prec@1 46.875 (48.168) Prec@5 80.000 (78.563) Epoch: [59][5330/11272] Time 0.880 (0.798) Data 0.002 (0.002) Loss 2.1063 (2.0036) Prec@1 45.625 (48.168) Prec@5 76.250 (78.563) Epoch: [59][5340/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.9780 (2.0037) Prec@1 50.000 (48.166) Prec@5 80.000 (78.561) Epoch: [59][5350/11272] Time 0.934 (0.798) Data 0.002 (0.002) Loss 2.1946 (2.0038) Prec@1 43.750 (48.166) Prec@5 74.375 (78.561) Epoch: [59][5360/11272] Time 0.875 (0.798) Data 0.001 (0.002) Loss 2.1308 (2.0038) Prec@1 38.750 (48.164) Prec@5 78.750 (78.560) Epoch: [59][5370/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.9596 (2.0038) Prec@1 50.000 (48.165) Prec@5 78.750 (78.560) Epoch: [59][5380/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 2.0501 (2.0038) Prec@1 45.625 (48.164) Prec@5 80.625 (78.562) Epoch: [59][5390/11272] Time 0.921 (0.798) Data 0.002 (0.002) Loss 2.1325 (2.0037) Prec@1 45.625 (48.167) Prec@5 76.250 (78.564) Epoch: [59][5400/11272] Time 0.870 (0.798) Data 0.002 (0.002) Loss 2.0806 (2.0038) Prec@1 48.750 (48.166) Prec@5 75.000 (78.561) Epoch: [59][5410/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.9266 (2.0038) Prec@1 50.625 (48.162) Prec@5 80.000 (78.560) Epoch: [59][5420/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.2874 (2.0039) Prec@1 39.375 (48.160) Prec@5 76.250 (78.561) Epoch: [59][5430/11272] Time 0.827 (0.798) Data 0.001 (0.002) Loss 1.8530 (2.0039) Prec@1 52.500 (48.159) Prec@5 86.250 (78.563) Epoch: [59][5440/11272] Time 0.899 (0.798) Data 0.002 (0.002) Loss 2.0680 (2.0039) Prec@1 50.000 (48.161) Prec@5 75.625 (78.563) Epoch: [59][5450/11272] Time 0.783 (0.798) Data 0.002 (0.002) Loss 1.9944 (2.0038) Prec@1 53.125 (48.164) Prec@5 77.500 (78.565) Epoch: [59][5460/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.1244 (2.0038) Prec@1 48.750 (48.164) Prec@5 77.500 (78.563) Epoch: [59][5470/11272] Time 0.941 (0.798) Data 0.002 (0.002) Loss 2.0763 (2.0038) Prec@1 48.125 (48.164) Prec@5 78.125 (78.563) Epoch: [59][5480/11272] Time 0.701 (0.798) Data 0.001 (0.002) Loss 2.0261 (2.0039) Prec@1 47.500 (48.162) Prec@5 78.750 (78.563) Epoch: [59][5490/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 2.0218 (2.0041) Prec@1 51.875 (48.161) Prec@5 76.875 (78.558) Epoch: [59][5500/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 2.1992 (2.0040) Prec@1 41.250 (48.162) Prec@5 75.000 (78.560) Epoch: [59][5510/11272] Time 0.882 (0.798) Data 0.002 (0.002) Loss 2.0371 (2.0041) Prec@1 47.500 (48.157) Prec@5 79.375 (78.558) Epoch: [59][5520/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 2.1944 (2.0042) Prec@1 48.750 (48.156) Prec@5 73.750 (78.557) Epoch: [59][5530/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.1890 (2.0042) Prec@1 45.000 (48.153) Prec@5 79.375 (78.558) Epoch: [59][5540/11272] Time 0.854 (0.798) Data 0.002 (0.002) Loss 1.7150 (2.0043) Prec@1 56.250 (48.154) Prec@5 83.125 (78.558) Epoch: [59][5550/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 1.8787 (2.0044) Prec@1 51.875 (48.152) Prec@5 83.750 (78.557) Epoch: [59][5560/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.8887 (2.0046) Prec@1 50.625 (48.148) Prec@5 80.000 (78.553) Epoch: [59][5570/11272] Time 0.754 (0.798) Data 0.002 (0.002) Loss 2.1638 (2.0046) Prec@1 44.375 (48.144) Prec@5 77.500 (78.553) Epoch: [59][5580/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 1.8591 (2.0044) Prec@1 54.375 (48.149) Prec@5 81.875 (78.557) Epoch: [59][5590/11272] Time 0.868 (0.798) Data 0.002 (0.002) Loss 1.9893 (2.0044) Prec@1 45.000 (48.150) Prec@5 78.125 (78.556) Epoch: [59][5600/11272] Time 0.756 (0.798) Data 0.002 (0.002) Loss 2.0793 (2.0044) Prec@1 46.875 (48.151) Prec@5 76.875 (78.556) Epoch: [59][5610/11272] Time 0.908 (0.798) Data 0.002 (0.002) Loss 2.0424 (2.0044) Prec@1 45.625 (48.150) Prec@5 78.750 (78.555) Epoch: [59][5620/11272] Time 0.870 (0.798) Data 0.001 (0.002) Loss 2.1347 (2.0045) Prec@1 48.750 (48.147) Prec@5 79.375 (78.553) Epoch: [59][5630/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 1.7755 (2.0045) Prec@1 51.250 (48.146) Prec@5 82.500 (78.552) Epoch: [59][5640/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0043 (2.0045) Prec@1 47.500 (48.147) Prec@5 78.750 (78.552) Epoch: [59][5650/11272] Time 0.880 (0.798) Data 0.001 (0.002) Loss 1.9794 (2.0046) Prec@1 47.500 (48.143) Prec@5 81.250 (78.550) Epoch: [59][5660/11272] Time 0.838 (0.798) Data 0.001 (0.002) Loss 2.1484 (2.0047) Prec@1 46.875 (48.139) Prec@5 77.500 (78.548) Epoch: [59][5670/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.9545 (2.0048) Prec@1 47.500 (48.138) Prec@5 80.625 (78.547) Epoch: [59][5680/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0822 (2.0048) Prec@1 46.875 (48.138) Prec@5 79.375 (78.548) Epoch: [59][5690/11272] Time 0.833 (0.798) Data 0.001 (0.002) Loss 1.8837 (2.0048) Prec@1 53.750 (48.141) Prec@5 78.125 (78.545) Epoch: [59][5700/11272] Time 0.823 (0.798) Data 0.002 (0.002) Loss 2.1179 (2.0049) Prec@1 41.875 (48.139) Prec@5 78.125 (78.545) Epoch: [59][5710/11272] Time 0.710 (0.798) Data 0.001 (0.002) Loss 1.8598 (2.0048) Prec@1 46.250 (48.137) Prec@5 80.625 (78.546) Epoch: [59][5720/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.9477 (2.0049) Prec@1 51.875 (48.137) Prec@5 78.750 (78.545) Epoch: [59][5730/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 1.9714 (2.0049) Prec@1 48.125 (48.134) Prec@5 79.375 (78.543) Epoch: [59][5740/11272] Time 0.733 (0.798) Data 0.004 (0.002) Loss 1.9450 (2.0050) Prec@1 48.750 (48.132) Prec@5 81.250 (78.543) Epoch: [59][5750/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 2.0996 (2.0049) Prec@1 48.750 (48.136) Prec@5 78.750 (78.544) Epoch: [59][5760/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.9819 (2.0049) Prec@1 47.500 (48.136) Prec@5 79.375 (78.544) Epoch: [59][5770/11272] Time 0.844 (0.798) Data 0.001 (0.002) Loss 2.1304 (2.0050) Prec@1 45.625 (48.135) Prec@5 72.500 (78.541) Epoch: [59][5780/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.0422 (2.0050) Prec@1 47.500 (48.137) Prec@5 78.750 (78.540) Epoch: [59][5790/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 2.0947 (2.0049) Prec@1 47.500 (48.137) Prec@5 77.500 (78.543) Epoch: [59][5800/11272] Time 0.842 (0.798) Data 0.001 (0.002) Loss 1.8465 (2.0049) Prec@1 51.875 (48.139) Prec@5 82.500 (78.542) Epoch: [59][5810/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 2.1010 (2.0049) Prec@1 45.625 (48.140) Prec@5 75.625 (78.542) Epoch: [59][5820/11272] Time 0.736 (0.798) Data 0.002 (0.002) Loss 2.0740 (2.0050) Prec@1 46.875 (48.138) Prec@5 80.000 (78.540) Epoch: [59][5830/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 2.2155 (2.0052) Prec@1 41.250 (48.134) Prec@5 79.375 (78.536) Epoch: [59][5840/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.9157 (2.0052) Prec@1 51.250 (48.132) Prec@5 78.750 (78.534) Epoch: [59][5850/11272] Time 0.822 (0.798) Data 0.002 (0.002) Loss 2.0243 (2.0054) Prec@1 51.875 (48.129) Prec@5 81.250 (78.533) Epoch: [59][5860/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 2.0425 (2.0054) Prec@1 52.500 (48.126) Prec@5 76.250 (78.533) Epoch: [59][5870/11272] Time 0.878 (0.798) Data 0.002 (0.002) Loss 1.8945 (2.0054) Prec@1 53.125 (48.126) Prec@5 82.500 (78.536) Epoch: [59][5880/11272] Time 0.862 (0.798) Data 0.001 (0.002) Loss 1.6449 (2.0054) Prec@1 56.250 (48.128) Prec@5 85.000 (78.537) Epoch: [59][5890/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.8302 (2.0053) Prec@1 51.250 (48.129) Prec@5 81.875 (78.538) Epoch: [59][5900/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 2.0045 (2.0053) Prec@1 45.625 (48.125) Prec@5 79.375 (78.538) Epoch: [59][5910/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 1.8733 (2.0054) Prec@1 53.125 (48.126) Prec@5 80.000 (78.536) Epoch: [59][5920/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 1.9998 (2.0053) Prec@1 48.750 (48.128) Prec@5 81.250 (78.538) Epoch: [59][5930/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 2.1046 (2.0055) Prec@1 43.125 (48.124) Prec@5 75.625 (78.536) Epoch: [59][5940/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.9988 (2.0055) Prec@1 47.500 (48.123) Prec@5 78.125 (78.534) Epoch: [59][5950/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 2.0521 (2.0055) Prec@1 50.000 (48.121) Prec@5 78.125 (78.535) Epoch: [59][5960/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 2.0947 (2.0055) Prec@1 46.875 (48.119) Prec@5 76.875 (78.535) Epoch: [59][5970/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 2.0113 (2.0055) Prec@1 54.375 (48.119) Prec@5 77.500 (78.538) Epoch: [59][5980/11272] Time 0.709 (0.798) Data 0.002 (0.002) Loss 1.8734 (2.0054) Prec@1 48.125 (48.122) Prec@5 81.875 (78.537) Epoch: [59][5990/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 2.1767 (2.0056) Prec@1 46.250 (48.119) Prec@5 74.375 (78.533) Epoch: [59][6000/11272] Time 0.729 (0.798) Data 0.003 (0.002) Loss 2.1148 (2.0056) Prec@1 48.125 (48.118) Prec@5 79.375 (78.535) Epoch: [59][6010/11272] Time 0.769 (0.798) Data 0.001 (0.002) Loss 1.8136 (2.0054) Prec@1 50.000 (48.117) Prec@5 83.750 (78.539) Epoch: [59][6020/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 1.7639 (2.0053) Prec@1 55.625 (48.122) Prec@5 82.500 (78.541) Epoch: [59][6030/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.7653 (2.0053) Prec@1 52.500 (48.120) Prec@5 82.500 (78.541) Epoch: [59][6040/11272] Time 0.705 (0.798) Data 0.001 (0.002) Loss 2.3007 (2.0054) Prec@1 43.750 (48.119) Prec@5 70.625 (78.539) Epoch: [59][6050/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 2.1697 (2.0055) Prec@1 46.250 (48.118) Prec@5 75.000 (78.534) Epoch: [59][6060/11272] Time 0.816 (0.798) Data 0.002 (0.002) Loss 2.1959 (2.0055) Prec@1 42.500 (48.121) Prec@5 75.625 (78.535) Epoch: [59][6070/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 2.3232 (2.0056) Prec@1 39.375 (48.121) Prec@5 71.250 (78.533) Epoch: [59][6080/11272] Time 0.763 (0.798) Data 0.001 (0.002) Loss 2.0210 (2.0056) Prec@1 49.375 (48.121) Prec@5 75.625 (78.532) Epoch: [59][6090/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 1.9567 (2.0056) Prec@1 49.375 (48.120) Prec@5 83.125 (78.532) Epoch: [59][6100/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 1.9146 (2.0055) Prec@1 52.500 (48.121) Prec@5 82.500 (78.533) Epoch: [59][6110/11272] Time 0.867 (0.798) Data 0.001 (0.002) Loss 2.1489 (2.0055) Prec@1 46.875 (48.122) Prec@5 76.250 (78.532) Epoch: [59][6120/11272] Time 0.763 (0.798) Data 0.002 (0.002) Loss 1.7052 (2.0054) Prec@1 52.500 (48.124) Prec@5 81.250 (78.533) Epoch: [59][6130/11272] Time 0.951 (0.798) Data 0.002 (0.002) Loss 1.9347 (2.0055) Prec@1 43.125 (48.126) Prec@5 79.375 (78.533) Epoch: [59][6140/11272] Time 0.848 (0.798) Data 0.001 (0.002) Loss 1.6004 (2.0055) Prec@1 61.250 (48.126) Prec@5 82.500 (78.532) Epoch: [59][6150/11272] Time 0.807 (0.798) Data 0.001 (0.002) Loss 2.0375 (2.0056) Prec@1 44.375 (48.126) Prec@5 80.625 (78.529) Epoch: [59][6160/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 2.0051 (2.0056) Prec@1 43.750 (48.126) Prec@5 80.625 (78.530) Epoch: [59][6170/11272] Time 0.868 (0.799) Data 0.002 (0.002) Loss 1.9212 (2.0055) Prec@1 48.125 (48.126) Prec@5 78.125 (78.532) Epoch: [59][6180/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 1.7530 (2.0054) Prec@1 55.000 (48.128) Prec@5 81.250 (78.533) Epoch: [59][6190/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 2.3090 (2.0055) Prec@1 36.250 (48.123) Prec@5 74.375 (78.534) Epoch: [59][6200/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 2.1023 (2.0056) Prec@1 41.250 (48.121) Prec@5 76.250 (78.533) Epoch: [59][6210/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 1.9424 (2.0056) Prec@1 51.875 (48.120) Prec@5 80.000 (78.532) Epoch: [59][6220/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 2.0881 (2.0058) Prec@1 45.625 (48.117) Prec@5 80.625 (78.531) Epoch: [59][6230/11272] Time 0.708 (0.798) Data 0.002 (0.002) Loss 1.8969 (2.0059) Prec@1 50.625 (48.114) Prec@5 76.250 (78.528) Epoch: [59][6240/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 2.1910 (2.0059) Prec@1 42.500 (48.113) Prec@5 75.000 (78.527) Epoch: [59][6250/11272] Time 0.830 (0.798) Data 0.002 (0.002) Loss 2.1204 (2.0059) Prec@1 46.250 (48.115) Prec@5 76.875 (78.528) Epoch: [59][6260/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 1.8413 (2.0059) Prec@1 54.375 (48.116) Prec@5 83.125 (78.530) Epoch: [59][6270/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.9774 (2.0060) Prec@1 48.750 (48.115) Prec@5 82.500 (78.529) Epoch: [59][6280/11272] Time 0.876 (0.798) Data 0.001 (0.002) Loss 1.7193 (2.0059) Prec@1 56.875 (48.116) Prec@5 80.625 (78.530) Epoch: [59][6290/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 2.0576 (2.0057) Prec@1 44.375 (48.118) Prec@5 76.875 (78.534) Epoch: [59][6300/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 2.1233 (2.0059) Prec@1 45.000 (48.115) Prec@5 75.000 (78.532) Epoch: [59][6310/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 2.2653 (2.0061) Prec@1 43.750 (48.110) Prec@5 73.750 (78.528) Epoch: [59][6320/11272] Time 0.869 (0.798) Data 0.001 (0.002) Loss 1.9041 (2.0061) Prec@1 52.500 (48.109) Prec@5 83.125 (78.529) Epoch: [59][6330/11272] Time 0.875 (0.798) Data 0.002 (0.002) Loss 2.0289 (2.0061) Prec@1 43.750 (48.109) Prec@5 78.750 (78.529) Epoch: [59][6340/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.8516 (2.0062) Prec@1 57.500 (48.108) Prec@5 78.750 (78.528) Epoch: [59][6350/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 2.0012 (2.0063) Prec@1 44.375 (48.104) Prec@5 80.000 (78.527) Epoch: [59][6360/11272] Time 0.901 (0.798) Data 0.002 (0.002) Loss 2.1159 (2.0064) Prec@1 40.625 (48.102) Prec@5 77.500 (78.526) Epoch: [59][6370/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 2.1762 (2.0064) Prec@1 42.500 (48.099) Prec@5 77.500 (78.525) Epoch: [59][6380/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.8184 (2.0064) Prec@1 49.375 (48.100) Prec@5 83.125 (78.524) Epoch: [59][6390/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.0878 (2.0065) Prec@1 45.000 (48.098) Prec@5 78.125 (78.524) Epoch: [59][6400/11272] Time 0.880 (0.798) Data 0.002 (0.002) Loss 2.2292 (2.0068) Prec@1 41.250 (48.093) Prec@5 75.000 (78.521) Epoch: [59][6410/11272] Time 0.719 (0.798) Data 0.001 (0.002) Loss 1.7879 (2.0067) Prec@1 54.375 (48.095) Prec@5 83.125 (78.523) Epoch: [59][6420/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 1.9302 (2.0067) Prec@1 48.125 (48.098) Prec@5 78.750 (78.523) Epoch: [59][6430/11272] Time 0.844 (0.799) Data 0.002 (0.002) Loss 2.1293 (2.0067) Prec@1 46.250 (48.097) Prec@5 78.750 (78.524) Epoch: [59][6440/11272] Time 0.882 (0.799) Data 0.002 (0.002) Loss 1.9426 (2.0067) Prec@1 51.875 (48.098) Prec@5 76.875 (78.524) Epoch: [59][6450/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.8934 (2.0066) Prec@1 52.500 (48.098) Prec@5 80.000 (78.524) Epoch: [59][6460/11272] Time 0.740 (0.799) Data 0.002 (0.002) Loss 2.0535 (2.0068) Prec@1 45.625 (48.096) Prec@5 79.375 (78.522) Epoch: [59][6470/11272] Time 0.901 (0.799) Data 0.002 (0.002) Loss 1.9045 (2.0068) Prec@1 51.250 (48.096) Prec@5 83.125 (78.521) Epoch: [59][6480/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 1.9456 (2.0068) Prec@1 51.250 (48.098) Prec@5 78.750 (78.522) Epoch: [59][6490/11272] Time 0.764 (0.799) Data 0.002 (0.002) Loss 1.9127 (2.0068) Prec@1 48.750 (48.101) Prec@5 78.750 (78.522) Epoch: [59][6500/11272] Time 0.775 (0.799) Data 0.002 (0.002) Loss 2.2948 (2.0069) Prec@1 41.875 (48.099) Prec@5 73.750 (78.520) Epoch: [59][6510/11272] Time 0.815 (0.799) Data 0.001 (0.002) Loss 2.2420 (2.0069) Prec@1 46.875 (48.097) Prec@5 71.875 (78.520) Epoch: [59][6520/11272] Time 0.794 (0.799) Data 0.002 (0.002) Loss 1.7715 (2.0068) Prec@1 51.875 (48.096) Prec@5 85.000 (78.523) Epoch: [59][6530/11272] Time 0.776 (0.799) Data 0.002 (0.002) Loss 1.9668 (2.0070) Prec@1 50.000 (48.092) Prec@5 80.000 (78.520) Epoch: [59][6540/11272] Time 0.859 (0.799) Data 0.001 (0.002) Loss 2.0382 (2.0071) Prec@1 48.750 (48.089) Prec@5 78.125 (78.517) Epoch: [59][6550/11272] Time 0.830 (0.799) Data 0.002 (0.002) Loss 1.9026 (2.0071) Prec@1 49.375 (48.089) Prec@5 78.125 (78.518) Epoch: [59][6560/11272] Time 0.781 (0.799) Data 0.005 (0.002) Loss 2.1987 (2.0071) Prec@1 51.875 (48.090) Prec@5 73.125 (78.516) Epoch: [59][6570/11272] Time 0.784 (0.799) Data 0.001 (0.002) Loss 2.1470 (2.0072) Prec@1 49.375 (48.092) Prec@5 73.750 (78.515) Epoch: [59][6580/11272] Time 0.871 (0.799) Data 0.002 (0.002) Loss 2.0563 (2.0072) Prec@1 46.250 (48.093) Prec@5 80.000 (78.515) Epoch: [59][6590/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 2.1757 (2.0070) Prec@1 45.625 (48.097) Prec@5 76.250 (78.516) Epoch: [59][6600/11272] Time 0.738 (0.799) Data 0.001 (0.002) Loss 1.8504 (2.0071) Prec@1 53.750 (48.096) Prec@5 78.125 (78.515) Epoch: [59][6610/11272] Time 0.783 (0.799) Data 0.002 (0.002) Loss 1.7547 (2.0070) Prec@1 52.500 (48.096) Prec@5 83.125 (78.516) Epoch: [59][6620/11272] Time 0.817 (0.799) Data 0.001 (0.002) Loss 1.9513 (2.0070) Prec@1 53.125 (48.097) Prec@5 77.500 (78.515) Epoch: [59][6630/11272] Time 0.814 (0.799) Data 0.002 (0.002) Loss 1.8006 (2.0070) Prec@1 51.875 (48.095) Prec@5 83.125 (78.513) Epoch: [59][6640/11272] Time 0.723 (0.799) Data 0.001 (0.002) Loss 1.8356 (2.0070) Prec@1 51.250 (48.093) Prec@5 83.750 (78.512) Epoch: [59][6650/11272] Time 0.721 (0.799) Data 0.002 (0.002) Loss 1.8606 (2.0071) Prec@1 51.875 (48.095) Prec@5 83.125 (78.513) Epoch: [59][6660/11272] Time 0.891 (0.799) Data 0.002 (0.002) Loss 1.8219 (2.0070) Prec@1 50.625 (48.094) Prec@5 83.750 (78.514) Epoch: [59][6670/11272] Time 0.750 (0.799) Data 0.003 (0.002) Loss 1.9730 (2.0071) Prec@1 44.375 (48.092) Prec@5 80.000 (78.516) Epoch: [59][6680/11272] Time 0.709 (0.799) Data 0.001 (0.002) Loss 2.2592 (2.0073) Prec@1 40.000 (48.087) Prec@5 78.125 (78.514) Epoch: [59][6690/11272] Time 0.850 (0.799) Data 0.001 (0.002) Loss 1.9019 (2.0073) Prec@1 51.875 (48.088) Prec@5 78.750 (78.513) Epoch: [59][6700/11272] Time 0.867 (0.799) Data 0.001 (0.002) Loss 2.2536 (2.0074) Prec@1 46.875 (48.085) Prec@5 73.750 (78.512) Epoch: [59][6710/11272] Time 0.749 (0.799) Data 0.002 (0.002) Loss 1.9293 (2.0073) Prec@1 48.750 (48.087) Prec@5 81.250 (78.512) Epoch: [59][6720/11272] Time 0.749 (0.799) Data 0.002 (0.002) Loss 1.7528 (2.0074) Prec@1 53.125 (48.085) Prec@5 84.375 (78.511) Epoch: [59][6730/11272] Time 0.855 (0.799) Data 0.002 (0.002) Loss 2.0607 (2.0074) Prec@1 43.750 (48.089) Prec@5 79.375 (78.514) Epoch: [59][6740/11272] Time 0.871 (0.799) Data 0.002 (0.002) Loss 2.2610 (2.0075) Prec@1 43.125 (48.087) Prec@5 73.750 (78.512) Epoch: [59][6750/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.9460 (2.0076) Prec@1 46.250 (48.083) Prec@5 78.125 (78.510) Epoch: [59][6760/11272] Time 0.735 (0.799) Data 0.002 (0.002) Loss 2.1234 (2.0077) Prec@1 43.750 (48.081) Prec@5 78.750 (78.507) Epoch: [59][6770/11272] Time 0.884 (0.799) Data 0.002 (0.002) Loss 2.0840 (2.0077) Prec@1 46.875 (48.079) Prec@5 77.500 (78.508) Epoch: [59][6780/11272] Time 0.853 (0.799) Data 0.001 (0.002) Loss 2.0590 (2.0078) Prec@1 43.750 (48.075) Prec@5 76.250 (78.507) Epoch: [59][6790/11272] Time 0.724 (0.799) Data 0.002 (0.002) Loss 2.1079 (2.0080) Prec@1 48.750 (48.071) Prec@5 76.250 (78.504) Epoch: [59][6800/11272] Time 0.872 (0.799) Data 0.002 (0.002) Loss 2.3200 (2.0082) Prec@1 43.750 (48.071) Prec@5 71.875 (78.499) Epoch: [59][6810/11272] Time 0.813 (0.799) Data 0.002 (0.002) Loss 1.9162 (2.0082) Prec@1 48.750 (48.071) Prec@5 78.125 (78.498) Epoch: [59][6820/11272] Time 0.750 (0.799) Data 0.002 (0.002) Loss 1.9977 (2.0083) Prec@1 46.875 (48.071) Prec@5 77.500 (78.497) Epoch: [59][6830/11272] Time 0.731 (0.799) Data 0.001 (0.002) Loss 2.1836 (2.0083) Prec@1 44.375 (48.070) Prec@5 70.625 (78.496) Epoch: [59][6840/11272] Time 0.817 (0.799) Data 0.001 (0.002) Loss 1.9579 (2.0083) Prec@1 51.250 (48.071) Prec@5 80.000 (78.496) Epoch: [59][6850/11272] Time 0.855 (0.799) Data 0.002 (0.002) Loss 2.0702 (2.0084) Prec@1 40.625 (48.069) Prec@5 80.000 (78.496) Epoch: [59][6860/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 2.2357 (2.0086) Prec@1 44.375 (48.065) Prec@5 73.750 (78.493) Epoch: [59][6870/11272] Time 0.747 (0.799) Data 0.002 (0.002) Loss 1.9298 (2.0085) Prec@1 48.750 (48.067) Prec@5 80.625 (78.494) Epoch: [59][6880/11272] Time 0.869 (0.799) Data 0.001 (0.002) Loss 1.8671 (2.0084) Prec@1 45.000 (48.067) Prec@5 81.250 (78.494) Epoch: [59][6890/11272] Time 0.846 (0.799) Data 0.001 (0.002) Loss 1.9668 (2.0084) Prec@1 46.250 (48.068) Prec@5 81.875 (78.494) Epoch: [59][6900/11272] Time 0.725 (0.799) Data 0.002 (0.002) Loss 1.8769 (2.0084) Prec@1 48.750 (48.067) Prec@5 81.250 (78.494) Epoch: [59][6910/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.8714 (2.0084) Prec@1 49.375 (48.068) Prec@5 79.375 (78.495) Epoch: [59][6920/11272] Time 0.829 (0.799) Data 0.002 (0.002) Loss 1.9024 (2.0083) Prec@1 48.750 (48.070) Prec@5 77.500 (78.497) Epoch: [59][6930/11272] Time 0.733 (0.799) Data 0.003 (0.002) Loss 1.9106 (2.0082) Prec@1 51.250 (48.073) Prec@5 77.500 (78.498) Epoch: [59][6940/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 2.1419 (2.0082) Prec@1 43.125 (48.072) Prec@5 75.625 (78.497) Epoch: [59][6950/11272] Time 0.828 (0.799) Data 0.001 (0.002) Loss 2.0625 (2.0083) Prec@1 45.625 (48.072) Prec@5 78.125 (78.497) Epoch: [59][6960/11272] Time 0.812 (0.799) Data 0.002 (0.002) Loss 2.0057 (2.0082) Prec@1 53.750 (48.074) Prec@5 79.375 (78.500) Epoch: [59][6970/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 2.1190 (2.0082) Prec@1 46.250 (48.073) Prec@5 80.000 (78.498) Epoch: [59][6980/11272] Time 0.729 (0.799) Data 0.002 (0.002) Loss 2.3501 (2.0084) Prec@1 46.875 (48.070) Prec@5 71.875 (78.495) Epoch: [59][6990/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 2.0975 (2.0086) Prec@1 44.375 (48.065) Prec@5 74.375 (78.492) Epoch: [59][7000/11272] Time 0.863 (0.799) Data 0.001 (0.002) Loss 1.9070 (2.0085) Prec@1 50.000 (48.065) Prec@5 78.125 (78.493) Epoch: [59][7010/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 2.0474 (2.0087) Prec@1 48.750 (48.061) Prec@5 78.750 (78.492) Epoch: [59][7020/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 1.8897 (2.0087) Prec@1 46.875 (48.061) Prec@5 83.125 (78.493) Epoch: [59][7030/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 2.0644 (2.0087) Prec@1 42.500 (48.062) Prec@5 77.500 (78.492) Epoch: [59][7040/11272] Time 0.801 (0.798) Data 0.002 (0.002) Loss 2.1130 (2.0088) Prec@1 43.750 (48.060) Prec@5 73.125 (78.491) Epoch: [59][7050/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.9076 (2.0088) Prec@1 52.500 (48.060) Prec@5 78.750 (78.490) Epoch: [59][7060/11272] Time 0.820 (0.798) Data 0.002 (0.002) Loss 1.8212 (2.0087) Prec@1 51.875 (48.062) Prec@5 80.625 (78.491) Epoch: [59][7070/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 1.9930 (2.0087) Prec@1 51.250 (48.064) Prec@5 78.750 (78.492) Epoch: [59][7080/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.8948 (2.0087) Prec@1 50.000 (48.065) Prec@5 79.375 (78.492) Epoch: [59][7090/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 2.0534 (2.0086) Prec@1 46.875 (48.066) Prec@5 76.250 (78.492) Epoch: [59][7100/11272] Time 0.809 (0.798) Data 0.001 (0.002) Loss 2.0913 (2.0086) Prec@1 47.500 (48.064) Prec@5 75.000 (78.490) Epoch: [59][7110/11272] Time 0.819 (0.798) Data 0.001 (0.002) Loss 1.7842 (2.0087) Prec@1 49.375 (48.065) Prec@5 83.125 (78.489) Epoch: [59][7120/11272] Time 0.792 (0.798) Data 0.002 (0.002) Loss 2.1916 (2.0087) Prec@1 46.875 (48.064) Prec@5 73.750 (78.489) Epoch: [59][7130/11272] Time 0.781 (0.798) Data 0.001 (0.002) Loss 2.0245 (2.0087) Prec@1 45.000 (48.063) Prec@5 77.500 (78.488) Epoch: [59][7140/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.8093 (2.0088) Prec@1 51.875 (48.062) Prec@5 84.375 (78.488) Epoch: [59][7150/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 1.9735 (2.0089) Prec@1 52.500 (48.060) Prec@5 76.250 (78.485) Epoch: [59][7160/11272] Time 0.719 (0.798) Data 0.001 (0.002) Loss 2.2274 (2.0089) Prec@1 49.375 (48.059) Prec@5 75.000 (78.484) Epoch: [59][7170/11272] Time 0.730 (0.798) Data 0.001 (0.002) Loss 2.0233 (2.0091) Prec@1 48.750 (48.056) Prec@5 77.500 (78.481) Epoch: [59][7180/11272] Time 0.848 (0.799) Data 0.001 (0.002) Loss 1.9633 (2.0091) Prec@1 49.375 (48.057) Prec@5 75.000 (78.481) Epoch: [59][7190/11272] Time 0.806 (0.798) Data 0.001 (0.002) Loss 2.0309 (2.0091) Prec@1 44.375 (48.055) Prec@5 78.750 (78.482) Epoch: [59][7200/11272] Time 0.755 (0.799) Data 0.002 (0.002) Loss 1.8136 (2.0090) Prec@1 48.125 (48.055) Prec@5 85.625 (78.483) Epoch: [59][7210/11272] Time 0.834 (0.799) Data 0.001 (0.002) Loss 2.0592 (2.0091) Prec@1 42.500 (48.052) Prec@5 76.875 (78.482) Epoch: [59][7220/11272] Time 0.858 (0.799) Data 0.001 (0.002) Loss 1.9129 (2.0091) Prec@1 50.625 (48.050) Prec@5 83.125 (78.481) Epoch: [59][7230/11272] Time 0.698 (0.799) Data 0.001 (0.002) Loss 1.8694 (2.0092) Prec@1 50.000 (48.049) Prec@5 79.375 (78.478) Epoch: [59][7240/11272] Time 0.751 (0.799) Data 0.002 (0.002) Loss 1.8153 (2.0093) Prec@1 53.750 (48.049) Prec@5 82.500 (78.478) Epoch: [59][7250/11272] Time 0.876 (0.799) Data 0.001 (0.002) Loss 1.8214 (2.0092) Prec@1 53.750 (48.050) Prec@5 80.625 (78.478) Epoch: [59][7260/11272] Time 0.825 (0.799) Data 0.002 (0.002) Loss 2.2367 (2.0093) Prec@1 43.750 (48.047) Prec@5 75.625 (78.475) Epoch: [59][7270/11272] Time 0.753 (0.799) Data 0.002 (0.002) Loss 1.7133 (2.0093) Prec@1 55.625 (48.047) Prec@5 83.125 (78.476) Epoch: [59][7280/11272] Time 0.732 (0.799) Data 0.001 (0.002) Loss 2.1083 (2.0092) Prec@1 49.375 (48.047) Prec@5 73.750 (78.475) Epoch: [59][7290/11272] Time 0.890 (0.799) Data 0.002 (0.002) Loss 2.5127 (2.0093) Prec@1 38.750 (48.046) Prec@5 68.125 (78.473) Epoch: [59][7300/11272] Time 0.831 (0.799) Data 0.001 (0.002) Loss 1.9919 (2.0094) Prec@1 48.125 (48.046) Prec@5 80.000 (78.474) Epoch: [59][7310/11272] Time 0.742 (0.799) Data 0.002 (0.002) Loss 2.0593 (2.0094) Prec@1 47.500 (48.045) Prec@5 78.125 (78.473) Epoch: [59][7320/11272] Time 0.713 (0.799) Data 0.001 (0.002) Loss 1.9627 (2.0095) Prec@1 47.500 (48.041) Prec@5 81.875 (78.473) Epoch: [59][7330/11272] Time 0.807 (0.799) Data 0.001 (0.002) Loss 1.9278 (2.0094) Prec@1 53.125 (48.044) Prec@5 76.875 (78.472) Epoch: [59][7340/11272] Time 0.725 (0.799) Data 0.002 (0.002) Loss 2.1544 (2.0095) Prec@1 41.250 (48.043) Prec@5 76.875 (78.471) Epoch: [59][7350/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 1.8889 (2.0096) Prec@1 50.625 (48.040) Prec@5 81.250 (78.468) Epoch: [59][7360/11272] Time 0.872 (0.799) Data 0.002 (0.002) Loss 1.8355 (2.0096) Prec@1 52.500 (48.041) Prec@5 84.375 (78.468) Epoch: [59][7370/11272] Time 0.897 (0.799) Data 0.002 (0.002) Loss 2.1012 (2.0097) Prec@1 40.625 (48.038) Prec@5 75.625 (78.466) Epoch: [59][7380/11272] Time 0.724 (0.799) Data 0.002 (0.002) Loss 2.1494 (2.0097) Prec@1 46.875 (48.039) Prec@5 75.000 (78.466) Epoch: [59][7390/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 2.1901 (2.0098) Prec@1 44.375 (48.037) Prec@5 74.375 (78.466) Epoch: [59][7400/11272] Time 0.860 (0.799) Data 0.001 (0.002) Loss 1.8153 (2.0097) Prec@1 56.875 (48.039) Prec@5 80.000 (78.467) Epoch: [59][7410/11272] Time 0.920 (0.799) Data 0.002 (0.002) Loss 1.9908 (2.0097) Prec@1 56.875 (48.038) Prec@5 76.875 (78.466) Epoch: [59][7420/11272] Time 0.732 (0.799) Data 0.001 (0.002) Loss 2.4436 (2.0099) Prec@1 38.125 (48.035) Prec@5 70.625 (78.464) Epoch: [59][7430/11272] Time 0.750 (0.799) Data 0.004 (0.002) Loss 1.9272 (2.0100) Prec@1 50.625 (48.035) Prec@5 78.125 (78.463) Epoch: [59][7440/11272] Time 0.922 (0.799) Data 0.002 (0.002) Loss 2.0122 (2.0100) Prec@1 46.250 (48.034) Prec@5 78.125 (78.463) Epoch: [59][7450/11272] Time 0.825 (0.799) Data 0.002 (0.002) Loss 2.1228 (2.0100) Prec@1 41.250 (48.031) Prec@5 79.375 (78.465) Epoch: [59][7460/11272] Time 0.729 (0.799) Data 0.002 (0.002) Loss 2.0878 (2.0100) Prec@1 46.875 (48.031) Prec@5 78.125 (78.465) Epoch: [59][7470/11272] Time 0.850 (0.799) Data 0.002 (0.002) Loss 2.2222 (2.0101) Prec@1 43.125 (48.031) Prec@5 73.125 (78.465) Epoch: [59][7480/11272] Time 0.890 (0.799) Data 0.002 (0.002) Loss 1.9788 (2.0100) Prec@1 45.625 (48.032) Prec@5 79.375 (78.465) Epoch: [59][7490/11272] Time 0.763 (0.799) Data 0.002 (0.002) Loss 2.0966 (2.0100) Prec@1 44.375 (48.032) Prec@5 78.125 (78.465) Epoch: [59][7500/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 2.1528 (2.0101) Prec@1 44.375 (48.029) Prec@5 71.875 (78.463) Epoch: [59][7510/11272] Time 0.844 (0.799) Data 0.002 (0.002) Loss 2.1743 (2.0102) Prec@1 41.875 (48.026) Prec@5 80.625 (78.463) Epoch: [59][7520/11272] Time 0.909 (0.799) Data 0.002 (0.002) Loss 1.9877 (2.0103) Prec@1 43.125 (48.023) Prec@5 79.375 (78.461) Epoch: [59][7530/11272] Time 0.760 (0.799) Data 0.002 (0.002) Loss 2.1344 (2.0103) Prec@1 50.000 (48.024) Prec@5 74.375 (78.460) Epoch: [59][7540/11272] Time 0.743 (0.799) Data 0.002 (0.002) Loss 2.0308 (2.0102) Prec@1 45.625 (48.027) Prec@5 78.125 (78.462) Epoch: [59][7550/11272] Time 0.934 (0.799) Data 0.002 (0.002) Loss 2.0639 (2.0103) Prec@1 47.500 (48.027) Prec@5 77.500 (78.459) Epoch: [59][7560/11272] Time 0.888 (0.799) Data 0.002 (0.002) Loss 2.0661 (2.0103) Prec@1 47.500 (48.025) Prec@5 77.500 (78.460) Epoch: [59][7570/11272] Time 0.729 (0.799) Data 0.002 (0.002) Loss 2.1499 (2.0103) Prec@1 51.250 (48.029) Prec@5 75.625 (78.462) Epoch: [59][7580/11272] Time 0.745 (0.799) Data 0.002 (0.002) Loss 1.9623 (2.0102) Prec@1 48.750 (48.030) Prec@5 80.625 (78.464) Epoch: [59][7590/11272] Time 0.856 (0.799) Data 0.002 (0.002) Loss 2.0085 (2.0102) Prec@1 49.375 (48.030) Prec@5 74.375 (78.467) Epoch: [59][7600/11272] Time 0.733 (0.799) Data 0.001 (0.002) Loss 1.8155 (2.0101) Prec@1 48.750 (48.030) Prec@5 84.375 (78.467) Epoch: [59][7610/11272] Time 0.745 (0.799) Data 0.001 (0.002) Loss 1.7759 (2.0102) Prec@1 51.250 (48.029) Prec@5 81.875 (78.467) Epoch: [59][7620/11272] Time 0.810 (0.799) Data 0.002 (0.002) Loss 2.3403 (2.0102) Prec@1 44.375 (48.030) Prec@5 72.500 (78.465) Epoch: [59][7630/11272] Time 0.827 (0.799) Data 0.002 (0.002) Loss 1.9603 (2.0101) Prec@1 46.250 (48.031) Prec@5 78.125 (78.467) Epoch: [59][7640/11272] Time 0.716 (0.799) Data 0.001 (0.002) Loss 1.9686 (2.0102) Prec@1 47.500 (48.028) Prec@5 81.250 (78.465) Epoch: [59][7650/11272] Time 0.757 (0.799) Data 0.001 (0.002) Loss 2.1039 (2.0103) Prec@1 46.875 (48.026) Prec@5 75.625 (78.465) Epoch: [59][7660/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 2.0962 (2.0103) Prec@1 44.375 (48.026) Prec@5 78.750 (78.465) Epoch: [59][7670/11272] Time 0.865 (0.799) Data 0.001 (0.002) Loss 2.0329 (2.0105) Prec@1 51.875 (48.026) Prec@5 77.500 (78.463) Epoch: [59][7680/11272] Time 0.773 (0.799) Data 0.002 (0.002) Loss 2.2833 (2.0105) Prec@1 40.625 (48.024) Prec@5 70.000 (78.461) Epoch: [59][7690/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 1.7910 (2.0105) Prec@1 55.000 (48.026) Prec@5 84.375 (78.463) Epoch: [59][7700/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 1.9157 (2.0105) Prec@1 52.500 (48.025) Prec@5 77.500 (78.464) Epoch: [59][7710/11272] Time 0.905 (0.799) Data 0.002 (0.002) Loss 1.8765 (2.0105) Prec@1 51.875 (48.022) Prec@5 80.625 (78.462) Epoch: [59][7720/11272] Time 0.729 (0.799) Data 0.001 (0.002) Loss 2.1639 (2.0106) Prec@1 47.500 (48.019) Prec@5 74.375 (78.462) Epoch: [59][7730/11272] Time 0.819 (0.799) Data 0.002 (0.002) Loss 2.0705 (2.0106) Prec@1 50.625 (48.021) Prec@5 75.000 (78.463) Epoch: [59][7740/11272] Time 0.862 (0.799) Data 0.001 (0.002) Loss 1.9090 (2.0104) Prec@1 46.250 (48.022) Prec@5 83.125 (78.465) Epoch: [59][7750/11272] Time 0.834 (0.799) Data 0.001 (0.002) Loss 1.9125 (2.0105) Prec@1 55.625 (48.023) Prec@5 81.875 (78.463) Epoch: [59][7760/11272] Time 0.753 (0.799) Data 0.002 (0.002) Loss 1.9269 (2.0104) Prec@1 44.375 (48.024) Prec@5 81.875 (78.465) Epoch: [59][7770/11272] Time 0.896 (0.799) Data 0.002 (0.002) Loss 2.0945 (2.0105) Prec@1 46.875 (48.025) Prec@5 73.750 (78.463) Epoch: [59][7780/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 2.1720 (2.0106) Prec@1 43.750 (48.021) Prec@5 76.250 (78.462) Epoch: [59][7790/11272] Time 0.752 (0.799) Data 0.002 (0.002) Loss 2.1167 (2.0106) Prec@1 45.000 (48.023) Prec@5 76.250 (78.462) Epoch: [59][7800/11272] Time 0.735 (0.799) Data 0.002 (0.002) Loss 1.9444 (2.0105) Prec@1 49.375 (48.025) Prec@5 80.625 (78.462) Epoch: [59][7810/11272] Time 0.819 (0.799) Data 0.001 (0.002) Loss 1.9296 (2.0105) Prec@1 51.250 (48.025) Prec@5 76.250 (78.463) Epoch: [59][7820/11272] Time 0.899 (0.799) Data 0.002 (0.002) Loss 1.7920 (2.0105) Prec@1 51.875 (48.024) Prec@5 82.500 (78.463) Epoch: [59][7830/11272] Time 0.768 (0.799) Data 0.002 (0.002) Loss 1.9415 (2.0104) Prec@1 43.125 (48.024) Prec@5 78.750 (78.464) Epoch: [59][7840/11272] Time 0.749 (0.799) Data 0.002 (0.002) Loss 2.0440 (2.0104) Prec@1 44.375 (48.022) Prec@5 82.500 (78.465) Epoch: [59][7850/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 1.8649 (2.0104) Prec@1 54.375 (48.022) Prec@5 84.375 (78.466) Epoch: [59][7860/11272] Time 0.733 (0.799) Data 0.004 (0.002) Loss 2.2377 (2.0105) Prec@1 41.875 (48.019) Prec@5 74.375 (78.463) Epoch: [59][7870/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.4492 (2.0104) Prec@1 60.000 (48.021) Prec@5 88.125 (78.464) Epoch: [59][7880/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 2.1087 (2.0104) Prec@1 49.375 (48.022) Prec@5 78.125 (78.464) Epoch: [59][7890/11272] Time 0.835 (0.799) Data 0.001 (0.002) Loss 2.0178 (2.0104) Prec@1 50.000 (48.021) Prec@5 77.500 (78.465) Epoch: [59][7900/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 2.0195 (2.0105) Prec@1 42.500 (48.018) Prec@5 78.750 (78.464) Epoch: [59][7910/11272] Time 0.724 (0.799) Data 0.002 (0.002) Loss 2.1358 (2.0105) Prec@1 46.250 (48.019) Prec@5 75.625 (78.463) Epoch: [59][7920/11272] Time 0.896 (0.799) Data 0.001 (0.002) Loss 1.9456 (2.0105) Prec@1 46.875 (48.018) Prec@5 76.875 (78.462) Epoch: [59][7930/11272] Time 0.843 (0.799) Data 0.001 (0.002) Loss 2.1978 (2.0105) Prec@1 38.750 (48.016) Prec@5 73.750 (78.463) Epoch: [59][7940/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 1.9884 (2.0104) Prec@1 47.500 (48.016) Prec@5 80.625 (78.462) Epoch: [59][7950/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 1.9445 (2.0104) Prec@1 51.875 (48.017) Prec@5 78.125 (78.463) Epoch: [59][7960/11272] Time 0.925 (0.799) Data 0.002 (0.002) Loss 2.1116 (2.0104) Prec@1 46.875 (48.018) Prec@5 76.875 (78.465) Epoch: [59][7970/11272] Time 0.864 (0.799) Data 0.001 (0.002) Loss 1.8636 (2.0104) Prec@1 56.875 (48.017) Prec@5 80.000 (78.467) Epoch: [59][7980/11272] Time 0.760 (0.799) Data 0.002 (0.002) Loss 1.9067 (2.0105) Prec@1 48.125 (48.016) Prec@5 80.625 (78.467) Epoch: [59][7990/11272] Time 0.976 (0.799) Data 0.002 (0.002) Loss 1.7687 (2.0104) Prec@1 52.500 (48.018) Prec@5 81.875 (78.467) Epoch: [59][8000/11272] Time 0.911 (0.799) Data 0.002 (0.002) Loss 1.8543 (2.0103) Prec@1 48.125 (48.020) Prec@5 82.500 (78.468) Epoch: [59][8010/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 2.0666 (2.0103) Prec@1 43.750 (48.020) Prec@5 76.250 (78.468) Epoch: [59][8020/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 2.0294 (2.0103) Prec@1 44.375 (48.020) Prec@5 81.875 (78.470) Epoch: [59][8030/11272] Time 0.891 (0.799) Data 0.002 (0.002) Loss 1.7818 (2.0102) Prec@1 53.750 (48.021) Prec@5 83.125 (78.470) Epoch: [59][8040/11272] Time 0.920 (0.799) Data 0.002 (0.002) Loss 2.0967 (2.0103) Prec@1 45.000 (48.020) Prec@5 73.750 (78.470) Epoch: [59][8050/11272] Time 0.774 (0.799) Data 0.001 (0.002) Loss 2.1183 (2.0103) Prec@1 45.000 (48.020) Prec@5 74.375 (78.468) Epoch: [59][8060/11272] Time 0.746 (0.799) Data 0.001 (0.002) Loss 2.0273 (2.0104) Prec@1 51.875 (48.018) Prec@5 77.500 (78.466) Epoch: [59][8070/11272] Time 0.863 (0.799) Data 0.001 (0.002) Loss 2.0734 (2.0104) Prec@1 48.125 (48.017) Prec@5 76.875 (78.465) Epoch: [59][8080/11272] Time 0.892 (0.799) Data 0.002 (0.002) Loss 2.1054 (2.0105) Prec@1 45.000 (48.013) Prec@5 77.500 (78.464) Epoch: [59][8090/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 2.1466 (2.0105) Prec@1 43.750 (48.013) Prec@5 76.250 (78.465) Epoch: [59][8100/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 2.3134 (2.0106) Prec@1 41.250 (48.011) Prec@5 73.750 (78.463) Epoch: [59][8110/11272] Time 0.869 (0.799) Data 0.002 (0.002) Loss 1.6299 (2.0105) Prec@1 58.750 (48.014) Prec@5 83.125 (78.464) Epoch: [59][8120/11272] Time 0.844 (0.799) Data 0.002 (0.002) Loss 1.9849 (2.0105) Prec@1 45.000 (48.014) Prec@5 80.000 (78.464) Epoch: [59][8130/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 2.1305 (2.0105) Prec@1 45.000 (48.015) Prec@5 78.125 (78.465) Epoch: [59][8140/11272] Time 0.871 (0.799) Data 0.001 (0.002) Loss 2.0101 (2.0106) Prec@1 48.750 (48.015) Prec@5 78.125 (78.463) Epoch: [59][8150/11272] Time 0.863 (0.799) Data 0.001 (0.002) Loss 2.2078 (2.0106) Prec@1 46.250 (48.016) Prec@5 76.250 (78.463) Epoch: [59][8160/11272] Time 0.760 (0.799) Data 0.002 (0.002) Loss 1.9000 (2.0106) Prec@1 50.625 (48.016) Prec@5 79.375 (78.462) Epoch: [59][8170/11272] Time 0.769 (0.799) Data 0.002 (0.002) Loss 2.1128 (2.0107) Prec@1 41.875 (48.014) Prec@5 74.375 (78.458) Epoch: [59][8180/11272] Time 0.849 (0.799) Data 0.002 (0.002) Loss 2.0903 (2.0107) Prec@1 45.000 (48.012) Prec@5 74.375 (78.460) Epoch: [59][8190/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 1.9150 (2.0109) Prec@1 53.125 (48.011) Prec@5 79.375 (78.457) Epoch: [59][8200/11272] Time 0.804 (0.799) Data 0.002 (0.002) Loss 1.9680 (2.0109) Prec@1 49.375 (48.011) Prec@5 77.500 (78.455) Epoch: [59][8210/11272] Time 0.723 (0.799) Data 0.001 (0.002) Loss 1.9396 (2.0110) Prec@1 50.625 (48.011) Prec@5 83.750 (78.456) Epoch: [59][8220/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 1.9199 (2.0110) Prec@1 54.375 (48.011) Prec@5 81.250 (78.456) Epoch: [59][8230/11272] Time 0.869 (0.799) Data 0.002 (0.002) Loss 2.1471 (2.0109) Prec@1 44.375 (48.011) Prec@5 75.000 (78.458) Epoch: [59][8240/11272] Time 0.738 (0.799) Data 0.002 (0.002) Loss 1.9208 (2.0109) Prec@1 55.000 (48.012) Prec@5 78.125 (78.457) Epoch: [59][8250/11272] Time 0.864 (0.799) Data 0.002 (0.002) Loss 2.0792 (2.0110) Prec@1 51.875 (48.011) Prec@5 78.750 (78.458) Epoch: [59][8260/11272] Time 0.855 (0.799) Data 0.002 (0.002) Loss 2.2061 (2.0110) Prec@1 42.500 (48.010) Prec@5 75.000 (78.458) Epoch: [59][8270/11272] Time 0.790 (0.799) Data 0.002 (0.002) Loss 1.8804 (2.0110) Prec@1 43.750 (48.010) Prec@5 81.875 (78.459) Epoch: [59][8280/11272] Time 0.732 (0.799) Data 0.001 (0.002) Loss 2.1183 (2.0110) Prec@1 43.750 (48.009) Prec@5 73.750 (78.458) Epoch: [59][8290/11272] Time 0.839 (0.799) Data 0.002 (0.002) Loss 1.8474 (2.0110) Prec@1 50.625 (48.012) Prec@5 83.750 (78.458) Epoch: [59][8300/11272] Time 0.852 (0.799) Data 0.002 (0.002) Loss 1.6591 (2.0110) Prec@1 53.750 (48.009) Prec@5 87.500 (78.458) Epoch: [59][8310/11272] Time 0.741 (0.799) Data 0.002 (0.002) Loss 2.0177 (2.0111) Prec@1 51.250 (48.009) Prec@5 75.625 (78.457) Epoch: [59][8320/11272] Time 0.738 (0.799) Data 0.002 (0.002) Loss 2.0158 (2.0110) Prec@1 46.875 (48.010) Prec@5 79.375 (78.458) Epoch: [59][8330/11272] Time 0.856 (0.799) Data 0.001 (0.002) Loss 1.9572 (2.0110) Prec@1 49.375 (48.007) Prec@5 76.250 (78.458) Epoch: [59][8340/11272] Time 0.833 (0.799) Data 0.001 (0.002) Loss 2.0030 (2.0110) Prec@1 47.500 (48.007) Prec@5 79.375 (78.458) Epoch: [59][8350/11272] Time 0.750 (0.799) Data 0.002 (0.002) Loss 2.2032 (2.0110) Prec@1 43.750 (48.005) Prec@5 72.500 (78.458) Epoch: [59][8360/11272] Time 0.745 (0.799) Data 0.001 (0.002) Loss 2.2291 (2.0111) Prec@1 44.375 (48.003) Prec@5 74.375 (78.457) Epoch: [59][8370/11272] Time 0.847 (0.799) Data 0.002 (0.002) Loss 1.8138 (2.0111) Prec@1 52.500 (48.004) Prec@5 82.500 (78.457) Epoch: [59][8380/11272] Time 0.822 (0.799) Data 0.001 (0.002) Loss 2.0491 (2.0112) Prec@1 48.125 (48.001) Prec@5 76.875 (78.456) Epoch: [59][8390/11272] Time 0.737 (0.799) Data 0.002 (0.002) Loss 2.1561 (2.0112) Prec@1 47.500 (48.000) Prec@5 73.125 (78.455) Epoch: [59][8400/11272] Time 0.876 (0.799) Data 0.002 (0.002) Loss 2.0082 (2.0113) Prec@1 47.500 (47.999) Prec@5 75.625 (78.454) Epoch: [59][8410/11272] Time 0.867 (0.799) Data 0.001 (0.002) Loss 1.8552 (2.0113) Prec@1 51.875 (47.998) Prec@5 78.125 (78.453) Epoch: [59][8420/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 1.8140 (2.0113) Prec@1 50.625 (47.999) Prec@5 81.875 (78.453) Epoch: [59][8430/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 2.1318 (2.0112) Prec@1 47.500 (48.001) Prec@5 75.000 (78.454) Epoch: [59][8440/11272] Time 0.841 (0.799) Data 0.001 (0.002) Loss 1.8019 (2.0112) Prec@1 53.750 (48.002) Prec@5 81.875 (78.456) Epoch: [59][8450/11272] Time 0.869 (0.799) Data 0.002 (0.002) Loss 1.9521 (2.0111) Prec@1 45.000 (48.003) Prec@5 78.750 (78.457) Epoch: [59][8460/11272] Time 0.717 (0.799) Data 0.001 (0.002) Loss 2.0941 (2.0111) Prec@1 46.250 (48.003) Prec@5 76.875 (78.457) Epoch: [59][8470/11272] Time 0.775 (0.799) Data 0.003 (0.002) Loss 2.1712 (2.0111) Prec@1 43.750 (48.004) Prec@5 78.750 (78.458) Epoch: [59][8480/11272] Time 0.800 (0.799) Data 0.001 (0.002) Loss 2.0055 (2.0112) Prec@1 47.500 (48.002) Prec@5 76.875 (78.457) Epoch: [59][8490/11272] Time 0.838 (0.799) Data 0.001 (0.002) Loss 1.9350 (2.0111) Prec@1 48.125 (48.003) Prec@5 79.375 (78.457) Epoch: [59][8500/11272] Time 0.785 (0.799) Data 0.002 (0.002) Loss 2.2468 (2.0113) Prec@1 38.750 (47.998) Prec@5 73.125 (78.455) Epoch: [59][8510/11272] Time 0.758 (0.799) Data 0.001 (0.002) Loss 2.0379 (2.0112) Prec@1 48.750 (47.999) Prec@5 78.750 (78.457) Epoch: [59][8520/11272] Time 0.814 (0.799) Data 0.001 (0.002) Loss 2.0945 (2.0113) Prec@1 51.250 (48.000) Prec@5 76.250 (78.455) Epoch: [59][8530/11272] Time 0.722 (0.799) Data 0.003 (0.002) Loss 1.8234 (2.0113) Prec@1 53.750 (48.001) Prec@5 81.875 (78.454) Epoch: [59][8540/11272] Time 0.716 (0.799) Data 0.002 (0.002) Loss 1.8898 (2.0113) Prec@1 51.875 (48.001) Prec@5 78.750 (78.455) Epoch: [59][8550/11272] Time 0.845 (0.799) Data 0.001 (0.002) Loss 2.0477 (2.0113) Prec@1 49.375 (48.002) Prec@5 78.750 (78.457) Epoch: [59][8560/11272] Time 0.894 (0.799) Data 0.002 (0.002) Loss 2.0703 (2.0113) Prec@1 48.125 (48.002) Prec@5 79.375 (78.456) Epoch: [59][8570/11272] Time 0.769 (0.799) Data 0.002 (0.002) Loss 1.9418 (2.0113) Prec@1 45.000 (48.002) Prec@5 84.375 (78.456) Epoch: [59][8580/11272] Time 0.753 (0.799) Data 0.002 (0.002) Loss 1.8685 (2.0113) Prec@1 49.375 (48.001) Prec@5 83.125 (78.455) Epoch: [59][8590/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 2.0774 (2.0115) Prec@1 48.750 (47.998) Prec@5 75.625 (78.453) Epoch: [59][8600/11272] Time 0.830 (0.799) Data 0.001 (0.002) Loss 2.1742 (2.0114) Prec@1 45.000 (47.998) Prec@5 76.250 (78.454) Epoch: [59][8610/11272] Time 0.731 (0.799) Data 0.003 (0.002) Loss 1.7378 (2.0113) Prec@1 56.250 (48.001) Prec@5 85.000 (78.456) Epoch: [59][8620/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 1.9053 (2.0114) Prec@1 46.875 (48.000) Prec@5 79.375 (78.456) Epoch: [59][8630/11272] Time 0.875 (0.799) Data 0.002 (0.002) Loss 1.9805 (2.0113) Prec@1 52.500 (48.004) Prec@5 76.875 (78.457) Epoch: [59][8640/11272] Time 0.848 (0.799) Data 0.002 (0.002) Loss 1.9720 (2.0112) Prec@1 48.125 (48.005) Prec@5 78.125 (78.458) Epoch: [59][8650/11272] Time 0.751 (0.799) Data 0.001 (0.002) Loss 1.7577 (2.0113) Prec@1 53.125 (48.003) Prec@5 83.750 (78.456) Epoch: [59][8660/11272] Time 0.823 (0.799) Data 0.002 (0.002) Loss 2.0653 (2.0114) Prec@1 45.625 (48.003) Prec@5 80.000 (78.456) Epoch: [59][8670/11272] Time 0.831 (0.799) Data 0.001 (0.002) Loss 1.9197 (2.0114) Prec@1 48.125 (48.002) Prec@5 77.500 (78.456) Epoch: [59][8680/11272] Time 0.762 (0.799) Data 0.001 (0.002) Loss 2.0260 (2.0114) Prec@1 51.875 (48.002) Prec@5 76.875 (78.455) Epoch: [59][8690/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 1.9190 (2.0115) Prec@1 46.250 (48.000) Prec@5 79.375 (78.454) Epoch: [59][8700/11272] Time 0.901 (0.799) Data 0.001 (0.002) Loss 2.1294 (2.0116) Prec@1 43.750 (47.996) Prec@5 75.625 (78.453) Epoch: [59][8710/11272] Time 0.821 (0.799) Data 0.001 (0.002) Loss 1.9825 (2.0116) Prec@1 50.000 (47.995) Prec@5 79.375 (78.452) Epoch: [59][8720/11272] Time 0.726 (0.799) Data 0.001 (0.002) Loss 2.0533 (2.0116) Prec@1 45.625 (47.993) Prec@5 76.875 (78.452) Epoch: [59][8730/11272] Time 0.745 (0.799) Data 0.001 (0.002) Loss 2.0631 (2.0117) Prec@1 48.750 (47.991) Prec@5 81.875 (78.451) Epoch: [59][8740/11272] Time 0.870 (0.799) Data 0.002 (0.002) Loss 2.1803 (2.0117) Prec@1 45.000 (47.992) Prec@5 75.625 (78.451) Epoch: [59][8750/11272] Time 0.813 (0.799) Data 0.002 (0.002) Loss 1.8760 (2.0117) Prec@1 49.375 (47.992) Prec@5 79.375 (78.451) Epoch: [59][8760/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 2.1188 (2.0118) Prec@1 45.000 (47.992) Prec@5 77.500 (78.451) Epoch: [59][8770/11272] Time 0.712 (0.799) Data 0.002 (0.002) Loss 1.7909 (2.0117) Prec@1 55.625 (47.994) Prec@5 80.000 (78.453) Epoch: [59][8780/11272] Time 0.842 (0.799) Data 0.002 (0.002) Loss 1.9917 (2.0117) Prec@1 48.750 (47.995) Prec@5 78.750 (78.452) Epoch: [59][8790/11272] Time 0.710 (0.799) Data 0.004 (0.002) Loss 2.0242 (2.0117) Prec@1 48.750 (47.994) Prec@5 77.500 (78.453) Epoch: [59][8800/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 2.0546 (2.0118) Prec@1 47.500 (47.993) Prec@5 74.375 (78.452) Epoch: [59][8810/11272] Time 0.831 (0.799) Data 0.002 (0.002) Loss 1.9948 (2.0117) Prec@1 45.625 (47.993) Prec@5 78.125 (78.452) Epoch: [59][8820/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.9179 (2.0118) Prec@1 56.250 (47.991) Prec@5 79.375 (78.450) Epoch: [59][8830/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 1.7850 (2.0117) Prec@1 56.875 (47.993) Prec@5 83.125 (78.452) Epoch: [59][8840/11272] Time 0.743 (0.799) Data 0.002 (0.002) Loss 2.1032 (2.0117) Prec@1 41.250 (47.993) Prec@5 74.375 (78.452) Epoch: [59][8850/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 2.0654 (2.0117) Prec@1 43.750 (47.994) Prec@5 75.000 (78.453) Epoch: [59][8860/11272] Time 0.869 (0.799) Data 0.001 (0.002) Loss 1.9952 (2.0116) Prec@1 50.625 (47.995) Prec@5 78.750 (78.456) Epoch: [59][8870/11272] Time 0.750 (0.799) Data 0.002 (0.002) Loss 2.0827 (2.0116) Prec@1 45.625 (47.993) Prec@5 79.375 (78.456) Epoch: [59][8880/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 2.1004 (2.0117) Prec@1 43.750 (47.992) Prec@5 75.000 (78.455) Epoch: [59][8890/11272] Time 0.859 (0.799) Data 0.001 (0.002) Loss 2.3463 (2.0118) Prec@1 45.000 (47.991) Prec@5 69.375 (78.453) Epoch: [59][8900/11272] Time 0.871 (0.799) Data 0.002 (0.002) Loss 1.9633 (2.0118) Prec@1 50.625 (47.991) Prec@5 77.500 (78.454) Epoch: [59][8910/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 2.2803 (2.0118) Prec@1 41.875 (47.991) Prec@5 79.375 (78.454) Epoch: [59][8920/11272] Time 0.900 (0.799) Data 0.002 (0.002) Loss 2.1320 (2.0118) Prec@1 41.875 (47.990) Prec@5 76.875 (78.454) Epoch: [59][8930/11272] Time 0.860 (0.799) Data 0.002 (0.002) Loss 1.8752 (2.0119) Prec@1 45.625 (47.989) Prec@5 81.250 (78.452) Epoch: [59][8940/11272] Time 0.728 (0.799) Data 0.001 (0.002) Loss 1.7803 (2.0120) Prec@1 53.125 (47.988) Prec@5 85.625 (78.451) Epoch: [59][8950/11272] Time 0.777 (0.799) Data 0.001 (0.002) Loss 1.8669 (2.0120) Prec@1 47.500 (47.985) Prec@5 83.750 (78.450) Epoch: [59][8960/11272] Time 0.889 (0.799) Data 0.002 (0.002) Loss 2.0258 (2.0120) Prec@1 47.500 (47.983) Prec@5 77.500 (78.449) Epoch: [59][8970/11272] Time 0.802 (0.799) Data 0.001 (0.002) Loss 1.9541 (2.0120) Prec@1 48.750 (47.983) Prec@5 79.375 (78.451) Epoch: [59][8980/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 2.2234 (2.0120) Prec@1 42.500 (47.984) Prec@5 76.250 (78.450) Epoch: [59][8990/11272] Time 0.791 (0.799) Data 0.002 (0.002) Loss 2.0744 (2.0121) Prec@1 47.500 (47.983) Prec@5 80.000 (78.450) Epoch: [59][9000/11272] Time 0.849 (0.799) Data 0.002 (0.002) Loss 2.0491 (2.0120) Prec@1 45.000 (47.983) Prec@5 76.250 (78.450) Epoch: [59][9010/11272] Time 0.844 (0.799) Data 0.002 (0.002) Loss 1.9194 (2.0121) Prec@1 48.125 (47.982) Prec@5 79.375 (78.450) Epoch: [59][9020/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 2.0937 (2.0121) Prec@1 46.875 (47.982) Prec@5 74.375 (78.449) Epoch: [59][9030/11272] Time 0.753 (0.799) Data 0.004 (0.002) Loss 1.7079 (2.0120) Prec@1 53.125 (47.984) Prec@5 83.125 (78.449) Epoch: [59][9040/11272] Time 0.869 (0.799) Data 0.002 (0.002) Loss 1.8333 (2.0121) Prec@1 46.875 (47.984) Prec@5 81.875 (78.448) Epoch: [59][9050/11272] Time 0.838 (0.799) Data 0.001 (0.002) Loss 1.8099 (2.0120) Prec@1 50.625 (47.983) Prec@5 84.375 (78.448) Epoch: [59][9060/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 2.3055 (2.0121) Prec@1 43.750 (47.983) Prec@5 75.625 (78.446) Epoch: [59][9070/11272] Time 0.921 (0.799) Data 0.002 (0.002) Loss 2.1418 (2.0121) Prec@1 48.125 (47.982) Prec@5 71.250 (78.446) Epoch: [59][9080/11272] Time 0.821 (0.799) Data 0.001 (0.002) Loss 1.9356 (2.0120) Prec@1 46.875 (47.984) Prec@5 81.250 (78.447) Epoch: [59][9090/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.8582 (2.0120) Prec@1 50.000 (47.984) Prec@5 80.625 (78.447) Epoch: [59][9100/11272] Time 0.731 (0.799) Data 0.002 (0.002) Loss 1.9024 (2.0119) Prec@1 49.375 (47.987) Prec@5 81.250 (78.448) Epoch: [59][9110/11272] Time 0.880 (0.799) Data 0.002 (0.002) Loss 2.2486 (2.0120) Prec@1 41.875 (47.986) Prec@5 75.000 (78.446) Epoch: [59][9120/11272] Time 0.887 (0.799) Data 0.002 (0.002) Loss 1.9817 (2.0121) Prec@1 45.625 (47.984) Prec@5 81.250 (78.446) Epoch: [59][9130/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 2.2362 (2.0121) Prec@1 45.625 (47.984) Prec@5 75.625 (78.445) Epoch: [59][9140/11272] Time 0.793 (0.799) Data 0.002 (0.002) Loss 2.2405 (2.0122) Prec@1 49.375 (47.982) Prec@5 75.000 (78.442) Epoch: [59][9150/11272] Time 0.874 (0.799) Data 0.002 (0.002) Loss 2.0390 (2.0122) Prec@1 48.750 (47.982) Prec@5 78.750 (78.443) Epoch: [59][9160/11272] Time 0.894 (0.799) Data 0.002 (0.002) Loss 2.0975 (2.0122) Prec@1 46.875 (47.981) Prec@5 79.375 (78.444) Epoch: [59][9170/11272] Time 0.732 (0.799) Data 0.002 (0.002) Loss 1.9881 (2.0122) Prec@1 48.750 (47.981) Prec@5 78.750 (78.445) Epoch: [59][9180/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 1.8511 (2.0122) Prec@1 51.875 (47.981) Prec@5 80.625 (78.447) Epoch: [59][9190/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 2.2091 (2.0123) Prec@1 45.000 (47.980) Prec@5 77.500 (78.445) Epoch: [59][9200/11272] Time 0.733 (0.799) Data 0.001 (0.002) Loss 1.8189 (2.0123) Prec@1 52.500 (47.981) Prec@5 80.000 (78.445) Epoch: [59][9210/11272] Time 0.772 (0.799) Data 0.002 (0.002) Loss 1.8356 (2.0123) Prec@1 51.875 (47.980) Prec@5 80.625 (78.444) Epoch: [59][9220/11272] Time 0.893 (0.799) Data 0.001 (0.002) Loss 1.8307 (2.0123) Prec@1 53.750 (47.980) Prec@5 85.000 (78.445) Epoch: [59][9230/11272] Time 0.832 (0.799) Data 0.002 (0.002) Loss 1.9799 (2.0122) Prec@1 55.000 (47.982) Prec@5 81.250 (78.445) Epoch: [59][9240/11272] Time 0.745 (0.799) Data 0.002 (0.002) Loss 2.0789 (2.0122) Prec@1 48.125 (47.983) Prec@5 77.500 (78.445) Epoch: [59][9250/11272] Time 0.740 (0.799) Data 0.002 (0.002) Loss 2.1586 (2.0122) Prec@1 46.875 (47.983) Prec@5 75.625 (78.444) Epoch: [59][9260/11272] Time 0.858 (0.799) Data 0.002 (0.002) Loss 1.8947 (2.0122) Prec@1 47.500 (47.982) Prec@5 82.500 (78.444) Epoch: [59][9270/11272] Time 0.906 (0.799) Data 0.002 (0.002) Loss 2.0245 (2.0123) Prec@1 43.125 (47.980) Prec@5 80.625 (78.443) Epoch: [59][9280/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.3289 (2.0123) Prec@1 43.750 (47.979) Prec@5 76.875 (78.443) Epoch: [59][9290/11272] Time 0.764 (0.800) Data 0.002 (0.002) Loss 2.1257 (2.0124) Prec@1 48.750 (47.979) Prec@5 78.125 (78.443) Epoch: [59][9300/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 1.8711 (2.0124) Prec@1 50.000 (47.978) Prec@5 80.625 (78.443) Epoch: [59][9310/11272] Time 0.850 (0.800) Data 0.002 (0.002) Loss 2.0487 (2.0124) Prec@1 45.625 (47.978) Prec@5 80.000 (78.443) Epoch: [59][9320/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 2.1112 (2.0124) Prec@1 51.875 (47.977) Prec@5 73.750 (78.442) Epoch: [59][9330/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.9619 (2.0124) Prec@1 52.500 (47.977) Prec@5 77.500 (78.442) Epoch: [59][9340/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 1.9790 (2.0124) Prec@1 47.500 (47.977) Prec@5 78.750 (78.441) Epoch: [59][9350/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.8962 (2.0125) Prec@1 51.875 (47.977) Prec@5 81.250 (78.441) Epoch: [59][9360/11272] Time 0.721 (0.800) Data 0.001 (0.002) Loss 2.1019 (2.0126) Prec@1 43.750 (47.976) Prec@5 76.875 (78.440) Epoch: [59][9370/11272] Time 0.896 (0.800) Data 0.002 (0.002) Loss 2.0124 (2.0126) Prec@1 45.625 (47.973) Prec@5 81.250 (78.438) Epoch: [59][9380/11272] Time 0.869 (0.800) Data 0.002 (0.002) Loss 2.0893 (2.0127) Prec@1 41.875 (47.971) Prec@5 81.250 (78.438) Epoch: [59][9390/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.1442 (2.0126) Prec@1 46.875 (47.971) Prec@5 76.875 (78.439) Epoch: [59][9400/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9553 (2.0126) Prec@1 51.250 (47.973) Prec@5 78.750 (78.438) Epoch: [59][9410/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0135 (2.0128) Prec@1 43.750 (47.970) Prec@5 76.875 (78.436) Epoch: [59][9420/11272] Time 0.845 (0.800) Data 0.002 (0.002) Loss 2.0190 (2.0128) Prec@1 45.000 (47.969) Prec@5 77.500 (78.436) Epoch: [59][9430/11272] Time 0.768 (0.800) Data 0.002 (0.002) Loss 2.0197 (2.0129) Prec@1 50.625 (47.968) Prec@5 75.625 (78.435) Epoch: [59][9440/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 2.0877 (2.0129) Prec@1 51.875 (47.967) Prec@5 80.000 (78.435) Epoch: [59][9450/11272] Time 0.873 (0.800) Data 0.002 (0.002) Loss 2.0393 (2.0129) Prec@1 41.250 (47.967) Prec@5 79.375 (78.434) Epoch: [59][9460/11272] Time 0.754 (0.800) Data 0.003 (0.002) Loss 2.1745 (2.0129) Prec@1 42.500 (47.965) Prec@5 78.125 (78.433) Epoch: [59][9470/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 2.1711 (2.0129) Prec@1 50.625 (47.967) Prec@5 77.500 (78.433) Epoch: [59][9480/11272] Time 0.886 (0.800) Data 0.004 (0.002) Loss 2.1053 (2.0129) Prec@1 43.125 (47.964) Prec@5 80.625 (78.434) Epoch: [59][9490/11272] Time 0.926 (0.800) Data 0.003 (0.002) Loss 2.1747 (2.0129) Prec@1 44.375 (47.965) Prec@5 76.250 (78.434) Epoch: [59][9500/11272] Time 0.716 (0.800) Data 0.001 (0.002) Loss 2.3508 (2.0130) Prec@1 37.500 (47.963) Prec@5 72.500 (78.433) Epoch: [59][9510/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 1.9320 (2.0129) Prec@1 49.375 (47.964) Prec@5 76.250 (78.434) Epoch: [59][9520/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0370 (2.0129) Prec@1 48.750 (47.965) Prec@5 78.750 (78.435) Epoch: [59][9530/11272] Time 0.886 (0.800) Data 0.002 (0.002) Loss 2.1543 (2.0129) Prec@1 43.125 (47.965) Prec@5 72.500 (78.434) Epoch: [59][9540/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9714 (2.0129) Prec@1 53.125 (47.967) Prec@5 76.875 (78.433) Epoch: [59][9550/11272] Time 0.771 (0.800) Data 0.002 (0.002) Loss 1.9191 (2.0129) Prec@1 50.000 (47.967) Prec@5 80.000 (78.433) Epoch: [59][9560/11272] Time 0.925 (0.800) Data 0.002 (0.002) Loss 1.7508 (2.0130) Prec@1 56.875 (47.966) Prec@5 80.625 (78.431) Epoch: [59][9570/11272] Time 0.908 (0.800) Data 0.002 (0.002) Loss 1.9687 (2.0130) Prec@1 49.375 (47.966) Prec@5 79.375 (78.433) Epoch: [59][9580/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9648 (2.0130) Prec@1 50.625 (47.966) Prec@5 78.750 (78.431) Epoch: [59][9590/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 2.0929 (2.0129) Prec@1 46.250 (47.968) Prec@5 78.125 (78.432) Epoch: [59][9600/11272] Time 0.862 (0.800) Data 0.001 (0.002) Loss 2.1757 (2.0130) Prec@1 43.125 (47.967) Prec@5 75.625 (78.431) Epoch: [59][9610/11272] Time 0.776 (0.800) Data 0.001 (0.002) Loss 2.0376 (2.0130) Prec@1 48.750 (47.966) Prec@5 77.500 (78.431) Epoch: [59][9620/11272] Time 0.793 (0.800) Data 0.002 (0.002) Loss 1.9974 (2.0130) Prec@1 44.375 (47.966) Prec@5 81.875 (78.431) Epoch: [59][9630/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.0478 (2.0131) Prec@1 47.500 (47.965) Prec@5 80.000 (78.431) Epoch: [59][9640/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.0762 (2.0131) Prec@1 45.000 (47.964) Prec@5 75.000 (78.430) Epoch: [59][9650/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 2.1665 (2.0131) Prec@1 39.375 (47.962) Prec@5 75.000 (78.429) Epoch: [59][9660/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 1.9510 (2.0132) Prec@1 47.500 (47.962) Prec@5 78.125 (78.429) Epoch: [59][9670/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 2.1985 (2.0132) Prec@1 43.750 (47.960) Prec@5 77.500 (78.428) Epoch: [59][9680/11272] Time 0.908 (0.800) Data 0.002 (0.002) Loss 2.0583 (2.0133) Prec@1 41.875 (47.959) Prec@5 79.375 (78.428) Epoch: [59][9690/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 2.0598 (2.0133) Prec@1 45.000 (47.957) Prec@5 75.000 (78.426) Epoch: [59][9700/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 2.0100 (2.0134) Prec@1 48.750 (47.956) Prec@5 79.375 (78.425) Epoch: [59][9710/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 2.1138 (2.0134) Prec@1 47.500 (47.954) Prec@5 78.750 (78.426) Epoch: [59][9720/11272] Time 0.709 (0.800) Data 0.003 (0.002) Loss 2.0770 (2.0134) Prec@1 42.500 (47.953) Prec@5 79.375 (78.426) Epoch: [59][9730/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1184 (2.0135) Prec@1 50.000 (47.953) Prec@5 75.625 (78.425) Epoch: [59][9740/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 1.9310 (2.0135) Prec@1 51.250 (47.952) Prec@5 79.375 (78.426) Epoch: [59][9750/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 2.0877 (2.0135) Prec@1 46.250 (47.951) Prec@5 76.250 (78.424) Epoch: [59][9760/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.8477 (2.0135) Prec@1 47.500 (47.952) Prec@5 84.375 (78.425) Epoch: [59][9770/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.8237 (2.0134) Prec@1 53.125 (47.954) Prec@5 79.375 (78.426) Epoch: [59][9780/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 1.8160 (2.0134) Prec@1 50.625 (47.955) Prec@5 83.750 (78.427) Epoch: [59][9790/11272] Time 0.855 (0.800) Data 0.001 (0.002) Loss 1.9341 (2.0134) Prec@1 49.375 (47.954) Prec@5 80.000 (78.426) Epoch: [59][9800/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.0647 (2.0134) Prec@1 48.750 (47.956) Prec@5 78.125 (78.426) Epoch: [59][9810/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.8232 (2.0134) Prec@1 54.375 (47.958) Prec@5 83.750 (78.426) Epoch: [59][9820/11272] Time 0.817 (0.800) Data 0.001 (0.002) Loss 1.7931 (2.0133) Prec@1 53.750 (47.959) Prec@5 81.250 (78.428) Epoch: [59][9830/11272] Time 0.831 (0.800) Data 0.001 (0.002) Loss 1.8849 (2.0133) Prec@1 51.250 (47.958) Prec@5 80.625 (78.430) Epoch: [59][9840/11272] Time 0.740 (0.800) Data 0.002 (0.002) Loss 1.9492 (2.0133) Prec@1 47.500 (47.957) Prec@5 78.125 (78.429) Epoch: [59][9850/11272] Time 0.892 (0.800) Data 0.002 (0.002) Loss 2.0172 (2.0133) Prec@1 48.750 (47.959) Prec@5 78.750 (78.430) Epoch: [59][9860/11272] Time 0.867 (0.800) Data 0.003 (0.002) Loss 2.1921 (2.0134) Prec@1 45.000 (47.958) Prec@5 74.375 (78.428) Epoch: [59][9870/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1803 (2.0135) Prec@1 50.625 (47.958) Prec@5 74.375 (78.427) Epoch: [59][9880/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 2.1555 (2.0135) Prec@1 49.375 (47.958) Prec@5 75.000 (78.427) Epoch: [59][9890/11272] Time 0.914 (0.800) Data 0.002 (0.002) Loss 2.2517 (2.0134) Prec@1 46.250 (47.958) Prec@5 75.625 (78.429) Epoch: [59][9900/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 1.7499 (2.0135) Prec@1 51.250 (47.958) Prec@5 83.125 (78.427) Epoch: [59][9910/11272] Time 0.779 (0.800) Data 0.002 (0.002) Loss 1.8391 (2.0135) Prec@1 48.750 (47.956) Prec@5 80.625 (78.427) Epoch: [59][9920/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9308 (2.0135) Prec@1 51.875 (47.957) Prec@5 80.625 (78.427) Epoch: [59][9930/11272] Time 0.821 (0.800) Data 0.002 (0.002) Loss 2.1988 (2.0136) Prec@1 43.125 (47.958) Prec@5 77.500 (78.427) Epoch: [59][9940/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 2.0625 (2.0137) Prec@1 44.375 (47.954) Prec@5 77.500 (78.427) Epoch: [59][9950/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1713 (2.0136) Prec@1 46.250 (47.954) Prec@5 76.875 (78.426) Epoch: [59][9960/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.3353 (2.0137) Prec@1 44.375 (47.955) Prec@5 73.750 (78.425) Epoch: [59][9970/11272] Time 0.918 (0.800) Data 0.001 (0.002) Loss 1.9539 (2.0136) Prec@1 46.875 (47.955) Prec@5 79.375 (78.425) Epoch: [59][9980/11272] Time 0.823 (0.800) Data 0.003 (0.002) Loss 1.7808 (2.0135) Prec@1 55.625 (47.957) Prec@5 81.875 (78.426) Epoch: [59][9990/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 2.2081 (2.0135) Prec@1 43.125 (47.958) Prec@5 77.500 (78.426) Epoch: [59][10000/11272] Time 0.941 (0.800) Data 0.002 (0.002) Loss 2.2349 (2.0134) Prec@1 38.125 (47.960) Prec@5 76.250 (78.427) Epoch: [59][10010/11272] Time 0.807 (0.800) Data 0.002 (0.002) Loss 2.3005 (2.0135) Prec@1 40.625 (47.958) Prec@5 72.500 (78.426) Epoch: [59][10020/11272] Time 0.752 (0.800) Data 0.001 (0.002) Loss 1.7023 (2.0135) Prec@1 53.750 (47.959) Prec@5 83.750 (78.427) Epoch: [59][10030/11272] Time 0.726 (0.800) Data 0.001 (0.002) Loss 1.9029 (2.0135) Prec@1 47.500 (47.959) Prec@5 78.750 (78.427) Epoch: [59][10040/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.8065 (2.0134) Prec@1 51.250 (47.961) Prec@5 81.250 (78.427) Epoch: [59][10050/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 2.3007 (2.0135) Prec@1 46.250 (47.962) Prec@5 71.250 (78.425) Epoch: [59][10060/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.1005 (2.0135) Prec@1 46.875 (47.961) Prec@5 75.000 (78.424) Epoch: [59][10070/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.8649 (2.0136) Prec@1 51.875 (47.959) Prec@5 83.125 (78.425) Epoch: [59][10080/11272] Time 0.884 (0.800) Data 0.001 (0.002) Loss 2.1250 (2.0136) Prec@1 44.375 (47.959) Prec@5 75.000 (78.424) Epoch: [59][10090/11272] Time 0.938 (0.800) Data 0.002 (0.002) Loss 1.9416 (2.0136) Prec@1 45.000 (47.958) Prec@5 79.375 (78.424) Epoch: [59][10100/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9856 (2.0136) Prec@1 45.000 (47.958) Prec@5 78.750 (78.426) Epoch: [59][10110/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.1732 (2.0136) Prec@1 41.250 (47.959) Prec@5 76.250 (78.425) Epoch: [59][10120/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 1.9342 (2.0136) Prec@1 48.125 (47.959) Prec@5 79.375 (78.425) Epoch: [59][10130/11272] Time 0.751 (0.800) Data 0.001 (0.002) Loss 1.8985 (2.0136) Prec@1 51.875 (47.960) Prec@5 78.125 (78.425) Epoch: [59][10140/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.7961 (2.0136) Prec@1 52.500 (47.961) Prec@5 85.625 (78.425) Epoch: [59][10150/11272] Time 0.855 (0.800) Data 0.002 (0.002) Loss 2.3413 (2.0137) Prec@1 41.250 (47.959) Prec@5 73.125 (78.422) Epoch: [59][10160/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.2829 (2.0137) Prec@1 43.125 (47.958) Prec@5 75.000 (78.422) Epoch: [59][10170/11272] Time 0.746 (0.800) Data 0.003 (0.002) Loss 1.8627 (2.0137) Prec@1 51.250 (47.956) Prec@5 80.000 (78.422) Epoch: [59][10180/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 2.0651 (2.0137) Prec@1 48.125 (47.959) Prec@5 73.750 (78.423) Epoch: [59][10190/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0990 (2.0137) Prec@1 46.875 (47.959) Prec@5 75.625 (78.424) Epoch: [59][10200/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 1.9060 (2.0138) Prec@1 50.000 (47.956) Prec@5 80.625 (78.423) Epoch: [59][10210/11272] Time 0.750 (0.800) Data 0.002 (0.002) Loss 1.9907 (2.0138) Prec@1 51.250 (47.957) Prec@5 77.500 (78.424) Epoch: [59][10220/11272] Time 0.748 (0.800) Data 0.002 (0.002) Loss 2.3297 (2.0138) Prec@1 40.000 (47.956) Prec@5 75.000 (78.421) Epoch: [59][10230/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.2737 (2.0139) Prec@1 41.875 (47.953) Prec@5 75.000 (78.420) Epoch: [59][10240/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 1.9664 (2.0140) Prec@1 45.625 (47.953) Prec@5 80.000 (78.418) Epoch: [59][10250/11272] Time 0.744 (0.800) Data 0.003 (0.002) Loss 2.0531 (2.0140) Prec@1 48.125 (47.952) Prec@5 78.125 (78.418) Epoch: [59][10260/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.2649 (2.0139) Prec@1 41.875 (47.953) Prec@5 76.875 (78.419) Epoch: [59][10270/11272] Time 0.918 (0.800) Data 0.002 (0.002) Loss 1.9811 (2.0140) Prec@1 50.000 (47.951) Prec@5 76.250 (78.419) Epoch: [59][10280/11272] Time 0.749 (0.800) Data 0.002 (0.002) Loss 2.0136 (2.0140) Prec@1 44.375 (47.947) Prec@5 78.750 (78.417) Epoch: [59][10290/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.9069 (2.0140) Prec@1 53.750 (47.947) Prec@5 78.125 (78.417) Epoch: [59][10300/11272] Time 0.919 (0.800) Data 0.002 (0.002) Loss 2.2070 (2.0140) Prec@1 46.250 (47.946) Prec@5 70.625 (78.416) Epoch: [59][10310/11272] Time 0.887 (0.800) Data 0.002 (0.002) Loss 2.3049 (2.0140) Prec@1 46.875 (47.946) Prec@5 75.000 (78.418) Epoch: [59][10320/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 2.0190 (2.0141) Prec@1 44.375 (47.944) Prec@5 80.000 (78.417) Epoch: [59][10330/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.9135 (2.0141) Prec@1 50.625 (47.946) Prec@5 76.875 (78.416) Epoch: [59][10340/11272] Time 0.901 (0.800) Data 0.002 (0.002) Loss 2.2228 (2.0141) Prec@1 37.500 (47.945) Prec@5 74.375 (78.414) Epoch: [59][10350/11272] Time 0.814 (0.800) Data 0.001 (0.002) Loss 2.2733 (2.0142) Prec@1 41.250 (47.944) Prec@5 76.875 (78.412) Epoch: [59][10360/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 2.0206 (2.0142) Prec@1 43.750 (47.943) Prec@5 78.750 (78.413) Epoch: [59][10370/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 2.2297 (2.0143) Prec@1 40.000 (47.941) Prec@5 76.250 (78.412) Epoch: [59][10380/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 2.0396 (2.0142) Prec@1 50.000 (47.943) Prec@5 80.000 (78.414) Epoch: [59][10390/11272] Time 0.732 (0.800) Data 0.005 (0.002) Loss 2.1375 (2.0142) Prec@1 48.125 (47.943) Prec@5 75.625 (78.413) Epoch: [59][10400/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 2.0440 (2.0143) Prec@1 42.500 (47.941) Prec@5 79.375 (78.412) Epoch: [59][10410/11272] Time 0.837 (0.800) Data 0.002 (0.002) Loss 2.2477 (2.0143) Prec@1 46.250 (47.940) Prec@5 71.250 (78.411) Epoch: [59][10420/11272] Time 0.838 (0.800) Data 0.002 (0.002) Loss 2.0363 (2.0143) Prec@1 48.750 (47.940) Prec@5 76.875 (78.411) Epoch: [59][10430/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 2.0772 (2.0143) Prec@1 49.375 (47.940) Prec@5 73.125 (78.410) Epoch: [59][10440/11272] Time 0.762 (0.800) Data 0.001 (0.002) Loss 1.9944 (2.0143) Prec@1 47.500 (47.940) Prec@5 82.500 (78.410) Epoch: [59][10450/11272] Time 0.852 (0.800) Data 0.002 (0.002) Loss 1.9317 (2.0143) Prec@1 50.625 (47.940) Prec@5 78.125 (78.410) Epoch: [59][10460/11272] Time 0.832 (0.800) Data 0.001 (0.002) Loss 2.0576 (2.0144) Prec@1 47.500 (47.938) Prec@5 78.125 (78.408) Epoch: [59][10470/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.8890 (2.0144) Prec@1 48.750 (47.937) Prec@5 83.750 (78.410) Epoch: [59][10480/11272] Time 0.777 (0.800) Data 0.002 (0.002) Loss 2.0556 (2.0144) Prec@1 49.375 (47.936) Prec@5 76.875 (78.410) Epoch: [59][10490/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.8915 (2.0144) Prec@1 48.125 (47.937) Prec@5 81.875 (78.411) Epoch: [59][10500/11272] Time 0.816 (0.800) Data 0.002 (0.002) Loss 2.1825 (2.0144) Prec@1 49.375 (47.937) Prec@5 73.125 (78.410) Epoch: [59][10510/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 2.0045 (2.0144) Prec@1 45.625 (47.938) Prec@5 75.000 (78.409) Epoch: [59][10520/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 2.1440 (2.0144) Prec@1 45.000 (47.939) Prec@5 75.000 (78.409) Epoch: [59][10530/11272] Time 0.868 (0.800) Data 0.002 (0.002) Loss 2.0585 (2.0143) Prec@1 44.375 (47.940) Prec@5 79.375 (78.408) Epoch: [59][10540/11272] Time 0.715 (0.800) Data 0.001 (0.002) Loss 1.9224 (2.0144) Prec@1 49.375 (47.940) Prec@5 81.875 (78.408) Epoch: [59][10550/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 2.0090 (2.0144) Prec@1 46.875 (47.940) Prec@5 79.375 (78.408) Epoch: [59][10560/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 2.0618 (2.0144) Prec@1 49.375 (47.939) Prec@5 75.625 (78.407) Epoch: [59][10570/11272] Time 0.855 (0.800) Data 0.001 (0.002) Loss 2.1137 (2.0145) Prec@1 49.375 (47.939) Prec@5 73.750 (78.405) Epoch: [59][10580/11272] Time 0.762 (0.800) Data 0.002 (0.002) Loss 2.1514 (2.0144) Prec@1 45.625 (47.940) Prec@5 77.500 (78.407) Epoch: [59][10590/11272] Time 0.719 (0.800) Data 0.001 (0.002) Loss 2.0686 (2.0144) Prec@1 43.750 (47.940) Prec@5 77.500 (78.409) Epoch: [59][10600/11272] Time 0.851 (0.800) Data 0.001 (0.002) Loss 1.8778 (2.0143) Prec@1 51.875 (47.940) Prec@5 80.625 (78.410) Epoch: [59][10610/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.8514 (2.0143) Prec@1 49.375 (47.939) Prec@5 83.750 (78.411) Epoch: [59][10620/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 1.9955 (2.0143) Prec@1 50.000 (47.939) Prec@5 76.250 (78.411) Epoch: [59][10630/11272] Time 0.763 (0.800) Data 0.002 (0.002) Loss 2.2668 (2.0144) Prec@1 40.000 (47.938) Prec@5 73.125 (78.411) Epoch: [59][10640/11272] Time 0.915 (0.800) Data 0.002 (0.002) Loss 1.9205 (2.0144) Prec@1 48.750 (47.936) Prec@5 81.875 (78.412) Epoch: [59][10650/11272] Time 0.764 (0.800) Data 0.004 (0.002) Loss 2.1128 (2.0144) Prec@1 46.875 (47.937) Prec@5 73.125 (78.412) Epoch: [59][10660/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.7892 (2.0144) Prec@1 49.375 (47.937) Prec@5 82.500 (78.411) Epoch: [59][10670/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 2.2086 (2.0145) Prec@1 47.500 (47.935) Prec@5 71.875 (78.410) Epoch: [59][10680/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.8530 (2.0144) Prec@1 52.500 (47.935) Prec@5 81.250 (78.411) Epoch: [59][10690/11272] Time 0.742 (0.800) Data 0.002 (0.002) Loss 2.1352 (2.0144) Prec@1 46.250 (47.935) Prec@5 78.125 (78.411) Epoch: [59][10700/11272] Time 0.746 (0.800) Data 0.002 (0.002) Loss 1.9079 (2.0144) Prec@1 50.000 (47.936) Prec@5 76.875 (78.412) Epoch: [59][10710/11272] Time 0.841 (0.800) Data 0.002 (0.002) Loss 2.0271 (2.0145) Prec@1 49.375 (47.936) Prec@5 78.750 (78.411) Epoch: [59][10720/11272] Time 0.855 (0.800) Data 0.001 (0.002) Loss 2.0262 (2.0145) Prec@1 47.500 (47.934) Prec@5 77.500 (78.409) Epoch: [59][10730/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 2.1050 (2.0145) Prec@1 43.750 (47.935) Prec@5 75.625 (78.410) Epoch: [59][10740/11272] Time 0.701 (0.800) Data 0.001 (0.002) Loss 2.0376 (2.0144) Prec@1 51.250 (47.935) Prec@5 78.125 (78.410) Epoch: [59][10750/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 2.0357 (2.0144) Prec@1 45.000 (47.935) Prec@5 76.875 (78.411) Epoch: [59][10760/11272] Time 0.814 (0.800) Data 0.002 (0.002) Loss 2.3039 (2.0144) Prec@1 45.000 (47.935) Prec@5 71.250 (78.410) Epoch: [59][10770/11272] Time 0.744 (0.800) Data 0.001 (0.002) Loss 1.9012 (2.0144) Prec@1 50.625 (47.934) Prec@5 81.250 (78.408) Epoch: [59][10780/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 1.7590 (2.0144) Prec@1 51.250 (47.934) Prec@5 82.500 (78.409) Epoch: [59][10790/11272] Time 0.826 (0.800) Data 0.002 (0.002) Loss 1.9605 (2.0143) Prec@1 48.750 (47.934) Prec@5 79.375 (78.410) Epoch: [59][10800/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.8979 (2.0143) Prec@1 50.000 (47.934) Prec@5 80.625 (78.411) Epoch: [59][10810/11272] Time 0.756 (0.800) Data 0.002 (0.002) Loss 2.0543 (2.0143) Prec@1 44.375 (47.932) Prec@5 73.750 (78.410) Epoch: [59][10820/11272] Time 0.848 (0.800) Data 0.002 (0.002) Loss 2.1765 (2.0143) Prec@1 49.375 (47.932) Prec@5 75.625 (78.410) Epoch: [59][10830/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 2.0068 (2.0143) Prec@1 50.625 (47.932) Prec@5 79.375 (78.410) Epoch: [59][10840/11272] Time 0.745 (0.800) Data 0.002 (0.002) Loss 2.1791 (2.0143) Prec@1 41.875 (47.933) Prec@5 74.375 (78.411) Epoch: [59][10850/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 2.0685 (2.0143) Prec@1 45.000 (47.932) Prec@5 76.875 (78.411) Epoch: [59][10860/11272] Time 0.810 (0.800) Data 0.001 (0.002) Loss 1.8158 (2.0143) Prec@1 50.000 (47.931) Prec@5 84.375 (78.411) Epoch: [59][10870/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 1.8738 (2.0143) Prec@1 52.500 (47.931) Prec@5 81.250 (78.410) Epoch: [59][10880/11272] Time 0.711 (0.800) Data 0.002 (0.002) Loss 1.8843 (2.0143) Prec@1 52.500 (47.932) Prec@5 80.625 (78.410) Epoch: [59][10890/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 2.1766 (2.0143) Prec@1 43.750 (47.931) Prec@5 77.500 (78.409) Epoch: [59][10900/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 2.1799 (2.0144) Prec@1 41.875 (47.930) Prec@5 75.625 (78.408) Epoch: [59][10910/11272] Time 0.855 (0.800) Data 0.001 (0.002) Loss 1.9499 (2.0144) Prec@1 49.375 (47.928) Prec@5 82.500 (78.407) Epoch: [59][10920/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 1.9680 (2.0146) Prec@1 48.750 (47.926) Prec@5 76.875 (78.405) Epoch: [59][10930/11272] Time 0.859 (0.800) Data 0.002 (0.002) Loss 2.2245 (2.0146) Prec@1 46.250 (47.923) Prec@5 73.750 (78.404) Epoch: [59][10940/11272] Time 0.863 (0.800) Data 0.001 (0.002) Loss 2.3563 (2.0147) Prec@1 40.625 (47.922) Prec@5 68.125 (78.402) Epoch: [59][10950/11272] Time 0.737 (0.800) Data 0.002 (0.002) Loss 2.0596 (2.0147) Prec@1 45.625 (47.922) Prec@5 78.125 (78.402) Epoch: [59][10960/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 2.3981 (2.0147) Prec@1 42.500 (47.922) Prec@5 70.625 (78.403) Epoch: [59][10970/11272] Time 0.842 (0.800) Data 0.001 (0.002) Loss 1.8569 (2.0147) Prec@1 53.125 (47.922) Prec@5 82.500 (78.403) Epoch: [59][10980/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 2.1289 (2.0147) Prec@1 45.000 (47.922) Prec@5 77.500 (78.403) Epoch: [59][10990/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 1.9343 (2.0147) Prec@1 48.125 (47.923) Prec@5 77.500 (78.403) Epoch: [59][11000/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.9432 (2.0147) Prec@1 55.000 (47.921) Prec@5 79.375 (78.402) Epoch: [59][11010/11272] Time 0.885 (0.800) Data 0.001 (0.002) Loss 1.9726 (2.0147) Prec@1 49.375 (47.922) Prec@5 76.875 (78.402) Epoch: [59][11020/11272] Time 0.876 (0.800) Data 0.001 (0.002) Loss 2.1237 (2.0147) Prec@1 41.250 (47.922) Prec@5 73.125 (78.401) Epoch: [59][11030/11272] Time 0.739 (0.800) Data 0.002 (0.002) Loss 1.9832 (2.0147) Prec@1 45.625 (47.922) Prec@5 81.875 (78.402) Epoch: [59][11040/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 2.1970 (2.0147) Prec@1 48.125 (47.923) Prec@5 76.250 (78.402) Epoch: [59][11050/11272] Time 0.853 (0.800) Data 0.001 (0.002) Loss 2.1561 (2.0147) Prec@1 48.125 (47.924) Prec@5 75.625 (78.402) Epoch: [59][11060/11272] Time 0.749 (0.800) Data 0.001 (0.002) Loss 1.9470 (2.0147) Prec@1 46.875 (47.923) Prec@5 80.000 (78.402) Epoch: [59][11070/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 2.1700 (2.0147) Prec@1 44.375 (47.922) Prec@5 77.500 (78.402) Epoch: [59][11080/11272] Time 0.833 (0.800) Data 0.001 (0.002) Loss 1.8364 (2.0147) Prec@1 50.000 (47.922) Prec@5 80.625 (78.403) Epoch: [59][11090/11272] Time 0.824 (0.800) Data 0.002 (0.002) Loss 1.8213 (2.0147) Prec@1 56.875 (47.922) Prec@5 82.500 (78.404) Epoch: [59][11100/11272] Time 0.759 (0.800) Data 0.001 (0.002) Loss 2.0109 (2.0147) Prec@1 54.375 (47.923) Prec@5 76.875 (78.403) Epoch: [59][11110/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 2.1012 (2.0147) Prec@1 40.625 (47.922) Prec@5 80.000 (78.403) Epoch: [59][11120/11272] Time 0.883 (0.800) Data 0.002 (0.002) Loss 2.0387 (2.0148) Prec@1 45.000 (47.922) Prec@5 75.625 (78.402) Epoch: [59][11130/11272] Time 0.879 (0.800) Data 0.002 (0.002) Loss 2.0356 (2.0148) Prec@1 46.875 (47.921) Prec@5 78.125 (78.403) Epoch: [59][11140/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 2.1600 (2.0148) Prec@1 42.500 (47.921) Prec@5 75.625 (78.403) Epoch: [59][11150/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.9421 (2.0148) Prec@1 48.750 (47.919) Prec@5 79.375 (78.403) Epoch: [59][11160/11272] Time 0.894 (0.800) Data 0.002 (0.002) Loss 2.0550 (2.0148) Prec@1 51.250 (47.920) Prec@5 79.375 (78.404) Epoch: [59][11170/11272] Time 0.811 (0.800) Data 0.002 (0.002) Loss 2.2853 (2.0147) Prec@1 38.125 (47.921) Prec@5 76.250 (78.405) Epoch: [59][11180/11272] Time 0.741 (0.800) Data 0.002 (0.002) Loss 1.9478 (2.0147) Prec@1 48.750 (47.922) Prec@5 78.750 (78.405) Epoch: [59][11190/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 2.0662 (2.0148) Prec@1 44.375 (47.920) Prec@5 73.750 (78.403) Epoch: [59][11200/11272] Time 0.829 (0.800) Data 0.001 (0.002) Loss 2.1126 (2.0147) Prec@1 50.625 (47.921) Prec@5 77.500 (78.404) Epoch: [59][11210/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 1.7604 (2.0147) Prec@1 53.125 (47.923) Prec@5 81.250 (78.406) Epoch: [59][11220/11272] Time 0.716 (0.800) Data 0.002 (0.002) Loss 1.9584 (2.0146) Prec@1 50.000 (47.925) Prec@5 77.500 (78.406) Epoch: [59][11230/11272] Time 0.834 (0.800) Data 0.002 (0.002) Loss 2.0496 (2.0147) Prec@1 45.000 (47.926) Prec@5 75.625 (78.405) Epoch: [59][11240/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 2.0436 (2.0147) Prec@1 44.375 (47.924) Prec@5 79.375 (78.403) Epoch: [59][11250/11272] Time 0.752 (0.800) Data 0.002 (0.002) Loss 1.9530 (2.0147) Prec@1 46.875 (47.923) Prec@5 77.500 (78.403) Epoch: [59][11260/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 2.1613 (2.0148) Prec@1 48.125 (47.922) Prec@5 74.375 (78.403) Epoch: [59][11270/11272] Time 0.806 (0.800) Data 0.000 (0.002) Loss 2.1160 (2.0147) Prec@1 46.250 (47.924) Prec@5 76.875 (78.404) Test: [0/229] Time 2.472 (2.472) Loss 1.0844 (1.0844) Prec@1 67.500 (67.500) Prec@5 96.875 (96.875) Test: [10/229] Time 0.322 (0.576) Loss 0.8793 (1.7457) Prec@1 73.125 (52.557) Prec@5 97.500 (84.773) Test: [20/229] Time 0.467 (0.498) Loss 2.1009 (1.7920) Prec@1 50.000 (51.458) Prec@5 76.875 (83.601) Test: [30/229] Time 0.315 (0.464) Loss 1.8758 (1.6913) Prec@1 46.875 (54.698) Prec@5 86.250 (84.758) Test: [40/229] Time 0.448 (0.451) Loss 0.4870 (1.6928) Prec@1 89.375 (54.588) Prec@5 95.625 (84.848) Test: [50/229] Time 0.399 (0.440) Loss 2.4016 (1.7416) Prec@1 30.000 (53.578) Prec@5 80.000 (83.529) Test: [60/229] Time 0.350 (0.435) Loss 1.9592 (1.7287) Prec@1 45.000 (53.801) Prec@5 88.750 (83.832) Test: [70/229] Time 0.437 (0.431) Loss 1.3709 (1.7451) Prec@1 66.250 (53.477) Prec@5 86.250 (83.688) Test: [80/229] Time 0.364 (0.428) Loss 2.2648 (1.7693) Prec@1 34.375 (52.438) Prec@5 83.750 (83.650) Test: [90/229] Time 0.415 (0.428) Loss 1.2690 (1.7788) Prec@1 68.750 (52.335) Prec@5 86.875 (83.551) Test: [100/229] Time 0.360 (0.427) Loss 1.9476 (1.7671) Prec@1 53.125 (52.791) Prec@5 85.625 (83.769) Test: [110/229] Time 0.375 (0.426) Loss 1.5916 (1.7496) Prec@1 53.750 (52.984) Prec@5 86.875 (84.037) Test: [120/229] Time 0.419 (0.424) Loss 2.3340 (1.7689) Prec@1 45.000 (52.490) Prec@5 78.750 (83.843) Test: [130/229] Time 0.331 (0.421) Loss 1.0046 (1.7509) Prec@1 70.625 (52.867) Prec@5 93.750 (84.113) Test: [140/229] Time 0.464 (0.420) Loss 1.6097 (1.7592) Prec@1 59.375 (52.633) Prec@5 85.625 (84.043) Test: [150/229] Time 0.387 (0.417) Loss 0.9643 (1.7747) Prec@1 75.625 (52.380) Prec@5 89.375 (83.808) Test: [160/229] Time 0.380 (0.417) Loss 2.2300 (1.7739) Prec@1 49.375 (52.407) Prec@5 79.375 (83.863) Test: [170/229] Time 0.460 (0.418) Loss 2.2097 (1.7854) Prec@1 41.875 (52.010) Prec@5 75.625 (83.659) Test: [180/229] Time 0.311 (0.416) Loss 2.3329 (1.7903) Prec@1 36.875 (52.037) Prec@5 68.750 (83.481) Test: [190/229] Time 0.433 (0.416) Loss 1.5676 (1.7861) Prec@1 59.375 (52.186) Prec@5 89.375 (83.498) Test: [200/229] Time 0.336 (0.416) Loss 1.5719 (1.7752) Prec@1 62.500 (52.404) Prec@5 85.000 (83.738) Test: [210/229] Time 0.423 (0.416) Loss 1.1515 (1.7647) Prec@1 63.750 (52.630) Prec@5 92.500 (83.883) Test: [220/229] Time 0.293 (0.415) Loss 1.5271 (1.7550) Prec@1 62.500 (52.995) Prec@5 87.500 (83.934) * Prec@1 53.337 Prec@5 84.050 Epoch: [60][0/11272] Time 3.792 (3.792) Data 2.796 (2.796) Loss 1.8630 (1.8630) Prec@1 47.500 (47.500) Prec@5 80.625 (80.625) Epoch: [60][10/11272] Time 0.879 (1.074) Data 0.002 (0.256) Loss 2.1136 (2.0024) Prec@1 46.250 (48.807) Prec@5 76.250 (78.580) Epoch: [60][20/11272] Time 0.791 (0.944) Data 0.002 (0.135) Loss 2.1782 (1.9955) Prec@1 46.875 (48.690) Prec@5 73.750 (78.720) Epoch: [60][30/11272] Time 0.756 (0.901) Data 0.001 (0.092) Loss 2.0716 (2.0019) Prec@1 49.375 (48.911) Prec@5 76.875 (78.266) Epoch: [60][40/11272] Time 0.900 (0.884) Data 0.002 (0.070) Loss 1.9147 (1.9957) Prec@1 50.625 (48.963) Prec@5 81.250 (78.430) Epoch: [60][50/11272] Time 0.886 (0.871) Data 0.002 (0.057) Loss 2.2170 (1.9958) Prec@1 45.625 (48.811) Prec@5 78.125 (78.701) Epoch: [60][60/11272] Time 0.755 (0.858) Data 0.002 (0.048) Loss 1.9306 (1.9809) Prec@1 44.375 (48.914) Prec@5 79.375 (79.006) Epoch: [60][70/11272] Time 0.749 (0.853) Data 0.002 (0.041) Loss 1.9442 (1.9801) Prec@1 48.750 (48.759) Prec@5 80.000 (78.970) Epoch: [60][80/11272] Time 0.876 (0.847) Data 0.002 (0.036) Loss 1.8843 (1.9793) Prec@1 49.375 (48.866) Prec@5 80.000 (78.974) Epoch: [60][90/11272] Time 0.827 (0.843) Data 0.001 (0.032) Loss 1.9110 (1.9726) Prec@1 45.625 (48.997) Prec@5 83.750 (79.190) Epoch: [60][100/11272] Time 0.758 (0.839) Data 0.002 (0.029) Loss 1.7018 (1.9707) Prec@1 53.750 (48.911) Prec@5 84.375 (79.264) Epoch: [60][110/11272] Time 0.731 (0.838) Data 0.001 (0.027) Loss 1.6376 (1.9656) Prec@1 56.250 (49.054) Prec@5 83.750 (79.330) Epoch: [60][120/11272] Time 0.866 (0.836) Data 0.001 (0.025) Loss 1.8197 (1.9600) Prec@1 51.875 (49.168) Prec@5 78.125 (79.406) Epoch: [60][130/11272] Time 0.746 (0.834) Data 0.002 (0.023) Loss 1.8061 (1.9574) Prec@1 52.500 (49.289) Prec@5 84.375 (79.528) Epoch: [60][140/11272] Time 0.741 (0.832) Data 0.002 (0.022) Loss 2.1486 (1.9606) Prec@1 40.000 (49.207) Prec@5 78.750 (79.490) Epoch: [60][150/11272] Time 0.837 (0.832) Data 0.002 (0.020) Loss 1.9883 (1.9622) Prec@1 51.875 (49.267) Prec@5 80.000 (79.416) Epoch: [60][160/11272] Time 0.906 (0.831) Data 0.002 (0.019) Loss 1.6888 (1.9570) Prec@1 56.250 (49.418) Prec@5 81.250 (79.499) Epoch: [60][170/11272] Time 0.744 (0.830) Data 0.002 (0.018) Loss 1.8242 (1.9589) Prec@1 46.875 (49.295) Prec@5 80.625 (79.444) Epoch: [60][180/11272] Time 0.785 (0.830) Data 0.002 (0.017) Loss 1.9029 (1.9587) Prec@1 46.875 (49.261) Prec@5 79.375 (79.475) Epoch: [60][190/11272] Time 0.906 (0.829) Data 0.002 (0.016) Loss 1.9127 (1.9581) Prec@1 49.375 (49.316) Prec@5 80.625 (79.509) Epoch: [60][200/11272] Time 0.839 (0.827) Data 0.001 (0.016) Loss 2.0553 (1.9581) Prec@1 43.125 (49.297) Prec@5 81.250 (79.543) Epoch: [60][210/11272] Time 0.738 (0.825) Data 0.002 (0.015) Loss 1.9038 (1.9590) Prec@1 51.875 (49.254) Prec@5 83.125 (79.573) Epoch: [60][220/11272] Time 0.734 (0.823) Data 0.002 (0.014) Loss 1.9493 (1.9584) Prec@1 48.125 (49.282) Prec@5 80.000 (79.584) Epoch: [60][230/11272] Time 0.898 (0.823) Data 0.002 (0.014) Loss 1.7171 (1.9566) Prec@1 53.125 (49.313) Prec@5 83.750 (79.616) Epoch: [60][240/11272] Time 0.902 (0.823) Data 0.002 (0.013) Loss 2.0592 (1.9567) Prec@1 45.000 (49.279) Prec@5 75.625 (79.595) Epoch: [60][250/11272] Time 0.742 (0.823) Data 0.002 (0.013) Loss 2.1940 (1.9559) Prec@1 48.750 (49.323) Prec@5 75.625 (79.634) Epoch: [60][260/11272] Time 0.930 (0.823) Data 0.001 (0.012) Loss 1.8901 (1.9552) Prec@1 50.625 (49.337) Prec@5 80.000 (79.626) Epoch: [60][270/11272] Time 0.918 (0.823) Data 0.002 (0.012) Loss 1.9192 (1.9520) Prec@1 48.750 (49.410) Prec@5 78.750 (79.661) Epoch: [60][280/11272] Time 0.748 (0.822) Data 0.001 (0.012) Loss 2.0130 (1.9482) Prec@1 48.750 (49.493) Prec@5 78.125 (79.706) Epoch: [60][290/11272] Time 0.772 (0.822) Data 0.001 (0.011) Loss 1.9175 (1.9496) Prec@1 52.500 (49.459) Prec@5 78.125 (79.689) Epoch: [60][300/11272] Time 0.875 (0.821) Data 0.001 (0.011) Loss 1.9510 (1.9473) Prec@1 51.875 (49.514) Prec@5 76.875 (79.732) Epoch: [60][310/11272] Time 0.844 (0.821) Data 0.002 (0.011) Loss 1.8750 (1.9446) Prec@1 51.250 (49.566) Prec@5 79.375 (79.793) Epoch: [60][320/11272] Time 0.741 (0.821) Data 0.002 (0.010) Loss 1.7384 (1.9425) Prec@1 51.875 (49.611) Prec@5 84.375 (79.823) Epoch: [60][330/11272] Time 0.728 (0.820) Data 0.002 (0.010) Loss 2.0083 (1.9425) Prec@1 48.125 (49.560) Prec@5 79.375 (79.832) Epoch: [60][340/11272] Time 0.816 (0.820) Data 0.001 (0.010) Loss 1.7308 (1.9410) Prec@1 55.625 (49.593) Prec@5 80.000 (79.808) Epoch: [60][350/11272] Time 0.819 (0.819) Data 0.001 (0.010) Loss 2.0115 (1.9395) Prec@1 48.750 (49.637) Prec@5 75.000 (79.804) Epoch: [60][360/11272] Time 0.739 (0.818) Data 0.002 (0.009) Loss 1.8268 (1.9381) Prec@1 51.875 (49.649) Prec@5 81.875 (79.810) Epoch: [60][370/11272] Time 0.762 (0.817) Data 0.001 (0.009) Loss 1.9708 (1.9391) Prec@1 46.250 (49.624) Prec@5 80.625 (79.833) Epoch: [60][380/11272] Time 0.925 (0.817) Data 0.002 (0.009) Loss 1.8581 (1.9365) Prec@1 52.500 (49.683) Prec@5 80.000 (79.875) Epoch: [60][390/11272] Time 0.723 (0.816) Data 0.006 (0.009) Loss 1.8288 (1.9375) Prec@1 52.500 (49.655) Prec@5 83.125 (79.855) Epoch: [60][400/11272] Time 0.738 (0.816) Data 0.002 (0.009) Loss 1.8036 (1.9373) Prec@1 50.625 (49.671) Prec@5 82.500 (79.880) Epoch: [60][410/11272] Time 0.849 (0.816) Data 0.002 (0.009) Loss 1.8640 (1.9362) Prec@1 50.625 (49.676) Prec@5 83.750 (79.877) Epoch: [60][420/11272] Time 0.854 (0.815) Data 0.002 (0.008) Loss 2.0741 (1.9387) Prec@1 48.750 (49.642) Prec@5 75.625 (79.831) Epoch: [60][430/11272] Time 0.737 (0.815) Data 0.002 (0.008) Loss 1.7925 (1.9384) Prec@1 54.375 (49.671) Prec@5 77.500 (79.839) Epoch: [60][440/11272] Time 0.763 (0.815) Data 0.001 (0.008) Loss 1.7912 (1.9368) Prec@1 50.000 (49.687) Prec@5 85.000 (79.853) Epoch: [60][450/11272] Time 0.840 (0.815) Data 0.001 (0.008) Loss 1.7868 (1.9368) Prec@1 55.000 (49.697) Prec@5 83.125 (79.871) Epoch: [60][460/11272] Time 0.843 (0.815) Data 0.002 (0.008) Loss 1.9742 (1.9361) Prec@1 51.250 (49.706) Prec@5 75.000 (79.882) Epoch: [60][470/11272] Time 0.747 (0.815) Data 0.002 (0.008) Loss 1.9383 (1.9364) Prec@1 51.250 (49.715) Prec@5 80.000 (79.854) Epoch: [60][480/11272] Time 0.757 (0.815) Data 0.001 (0.008) Loss 1.9848 (1.9348) Prec@1 50.000 (49.766) Prec@5 78.125 (79.854) Epoch: [60][490/11272] Time 0.897 (0.815) Data 0.001 (0.007) Loss 2.0606 (1.9340) Prec@1 46.875 (49.758) Prec@5 75.000 (79.846) Epoch: [60][500/11272] Time 0.840 (0.814) Data 0.002 (0.007) Loss 1.6183 (1.9325) Prec@1 58.125 (49.802) Prec@5 85.000 (79.884) Epoch: [60][510/11272] Time 0.737 (0.814) Data 0.002 (0.007) Loss 1.9376 (1.9322) Prec@1 51.250 (49.831) Prec@5 77.500 (79.891) Epoch: [60][520/11272] Time 0.806 (0.814) Data 0.002 (0.007) Loss 1.9821 (1.9305) Prec@1 51.875 (49.893) Prec@5 78.125 (79.890) Epoch: [60][530/11272] Time 0.837 (0.814) Data 0.001 (0.007) Loss 1.7995 (1.9288) Prec@1 51.875 (49.931) Prec@5 80.000 (79.919) Epoch: [60][540/11272] Time 0.773 (0.814) Data 0.002 (0.007) Loss 1.7480 (1.9278) Prec@1 53.750 (49.950) Prec@5 80.625 (79.933) Epoch: [60][550/11272] Time 0.728 (0.813) Data 0.002 (0.007) Loss 1.8230 (1.9277) Prec@1 50.000 (49.958) Prec@5 80.625 (79.910) Epoch: [60][560/11272] Time 0.841 (0.813) Data 0.001 (0.007) Loss 2.0552 (1.9275) Prec@1 50.000 (49.973) Prec@5 77.500 (79.891) Epoch: [60][570/11272] Time 0.877 (0.813) Data 0.002 (0.007) Loss 2.1787 (1.9288) Prec@1 41.875 (49.938) Prec@5 75.625 (79.854) Epoch: [60][580/11272] Time 0.733 (0.813) Data 0.002 (0.007) Loss 1.9565 (1.9269) Prec@1 48.750 (49.989) Prec@5 80.625 (79.887) Epoch: [60][590/11272] Time 0.799 (0.813) Data 0.003 (0.006) Loss 1.7765 (1.9263) Prec@1 54.375 (49.989) Prec@5 78.750 (79.902) Epoch: [60][600/11272] Time 0.879 (0.813) Data 0.002 (0.006) Loss 2.0698 (1.9273) Prec@1 49.375 (49.983) Prec@5 75.000 (79.866) Epoch: [60][610/11272] Time 0.826 (0.813) Data 0.001 (0.006) Loss 1.8459 (1.9272) Prec@1 51.250 (50.012) Prec@5 83.125 (79.858) Epoch: [60][620/11272] Time 0.761 (0.813) Data 0.002 (0.006) Loss 1.6381 (1.9265) Prec@1 56.250 (50.012) Prec@5 83.750 (79.859) Epoch: [60][630/11272] Time 0.732 (0.813) Data 0.001 (0.006) Loss 2.0333 (1.9260) Prec@1 42.500 (50.005) Prec@5 77.500 (79.862) Epoch: [60][640/11272] Time 0.852 (0.813) Data 0.002 (0.006) Loss 1.7532 (1.9252) Prec@1 55.625 (50.021) Prec@5 82.500 (79.873) Epoch: [60][650/11272] Time 0.744 (0.813) Data 0.003 (0.006) Loss 1.8417 (1.9236) Prec@1 49.375 (50.068) Prec@5 83.125 (79.881) Epoch: [60][660/11272] Time 0.752 (0.812) Data 0.002 (0.006) Loss 1.8750 (1.9223) Prec@1 51.875 (50.090) Prec@5 85.000 (79.915) Epoch: [60][670/11272] Time 0.857 (0.812) Data 0.002 (0.006) Loss 1.9103 (1.9216) Prec@1 46.875 (50.098) Prec@5 81.250 (79.939) Epoch: [60][680/11272] Time 0.824 (0.812) Data 0.002 (0.006) Loss 1.9400 (1.9219) Prec@1 48.125 (50.085) Prec@5 79.375 (79.924) Epoch: [60][690/11272] Time 0.725 (0.812) Data 0.001 (0.006) Loss 1.8221 (1.9213) Prec@1 53.750 (50.108) Prec@5 82.500 (79.917) Epoch: [60][700/11272] Time 0.729 (0.812) Data 0.002 (0.006) Loss 1.8299 (1.9212) Prec@1 50.625 (50.100) Prec@5 85.625 (79.915) Epoch: [60][710/11272] Time 0.872 (0.811) Data 0.002 (0.006) Loss 2.1604 (1.9216) Prec@1 48.125 (50.098) Prec@5 76.875 (79.901) Epoch: [60][720/11272] Time 0.864 (0.811) Data 0.002 (0.006) Loss 2.1433 (1.9213) Prec@1 50.000 (50.088) Prec@5 75.000 (79.915) Epoch: [60][730/11272] Time 0.767 (0.811) Data 0.002 (0.006) Loss 1.9296 (1.9202) Prec@1 49.375 (50.105) Prec@5 78.125 (79.943) Epoch: [60][740/11272] Time 0.781 (0.811) Data 0.002 (0.005) Loss 2.0298 (1.9200) Prec@1 43.750 (50.106) Prec@5 79.375 (79.950) Epoch: [60][750/11272] Time 0.811 (0.811) Data 0.002 (0.005) Loss 1.8656 (1.9194) Prec@1 51.250 (50.122) Prec@5 79.375 (79.958) Epoch: [60][760/11272] Time 0.880 (0.811) Data 0.002 (0.005) Loss 2.2372 (1.9196) Prec@1 39.375 (50.110) Prec@5 76.250 (79.950) Epoch: [60][770/11272] Time 0.771 (0.810) Data 0.001 (0.005) Loss 1.8207 (1.9187) Prec@1 51.250 (50.127) Prec@5 80.625 (79.967) Epoch: [60][780/11272] Time 0.870 (0.810) Data 0.001 (0.005) Loss 1.9032 (1.9184) Prec@1 52.500 (50.150) Prec@5 78.125 (79.966) Epoch: [60][790/11272] Time 0.820 (0.810) Data 0.002 (0.005) Loss 1.5778 (1.9163) Prec@1 55.000 (50.181) Prec@5 84.375 (80.006) Epoch: [60][800/11272] Time 0.781 (0.810) Data 0.002 (0.005) Loss 1.6954 (1.9153) Prec@1 51.875 (50.196) Prec@5 81.250 (80.025) Epoch: [60][810/11272] Time 0.743 (0.809) Data 0.002 (0.005) Loss 1.7982 (1.9141) Prec@1 51.875 (50.226) Prec@5 81.250 (80.044) Epoch: [60][820/11272] Time 0.892 (0.810) Data 0.002 (0.005) Loss 1.8244 (1.9134) Prec@1 56.250 (50.238) Prec@5 79.375 (80.047) Epoch: [60][830/11272] Time 0.864 (0.809) Data 0.002 (0.005) Loss 1.8341 (1.9134) Prec@1 53.125 (50.233) Prec@5 81.875 (80.047) Epoch: [60][840/11272] Time 0.737 (0.809) Data 0.002 (0.005) Loss 1.7213 (1.9125) Prec@1 55.000 (50.252) Prec@5 81.875 (80.074) Epoch: [60][850/11272] Time 0.740 (0.809) Data 0.001 (0.005) Loss 2.0359 (1.9134) Prec@1 54.375 (50.245) Prec@5 76.250 (80.057) Epoch: [60][860/11272] Time 0.820 (0.809) Data 0.001 (0.005) Loss 2.0859 (1.9125) Prec@1 41.250 (50.242) Prec@5 79.375 (80.081) Epoch: [60][870/11272] Time 0.870 (0.809) Data 0.002 (0.005) Loss 1.8291 (1.9129) Prec@1 50.625 (50.234) Prec@5 81.250 (80.067) Epoch: [60][880/11272] Time 0.722 (0.809) Data 0.002 (0.005) Loss 2.0071 (1.9124) Prec@1 48.125 (50.243) Prec@5 81.250 (80.082) Epoch: [60][890/11272] Time 0.747 (0.809) Data 0.002 (0.005) Loss 1.9586 (1.9124) Prec@1 55.000 (50.243) Prec@5 79.375 (80.082) Epoch: [60][900/11272] Time 0.891 (0.809) Data 0.002 (0.005) Loss 1.9865 (1.9124) Prec@1 48.125 (50.238) Prec@5 76.875 (80.068) Epoch: [60][910/11272] Time 0.855 (0.809) Data 0.001 (0.005) Loss 2.1254 (1.9125) Prec@1 45.625 (50.222) Prec@5 77.500 (80.077) Epoch: [60][920/11272] Time 0.732 (0.809) Data 0.002 (0.005) Loss 1.8859 (1.9117) Prec@1 52.500 (50.232) Prec@5 81.250 (80.100) Epoch: [60][930/11272] Time 0.843 (0.808) Data 0.002 (0.005) Loss 1.6607 (1.9108) Prec@1 56.250 (50.248) Prec@5 81.875 (80.109) Epoch: [60][940/11272] Time 0.815 (0.808) Data 0.001 (0.005) Loss 1.7314 (1.9106) Prec@1 58.125 (50.259) Prec@5 80.625 (80.111) Epoch: [60][950/11272] Time 0.771 (0.808) Data 0.002 (0.005) Loss 1.7862 (1.9096) Prec@1 55.000 (50.279) Prec@5 80.625 (80.127) Epoch: [60][960/11272] Time 0.735 (0.808) Data 0.002 (0.005) Loss 1.7642 (1.9093) Prec@1 52.500 (50.279) Prec@5 85.625 (80.122) Epoch: [60][970/11272] Time 0.861 (0.808) Data 0.001 (0.005) Loss 1.8595 (1.9078) Prec@1 51.875 (50.331) Prec@5 80.625 (80.150) Epoch: [60][980/11272] Time 0.872 (0.808) Data 0.002 (0.005) Loss 1.9123 (1.9072) Prec@1 48.125 (50.341) Prec@5 82.500 (80.170) Epoch: [60][990/11272] Time 0.726 (0.807) Data 0.002 (0.005) Loss 1.8180 (1.9066) Prec@1 55.625 (50.378) Prec@5 81.875 (80.186) Epoch: [60][1000/11272] Time 0.764 (0.807) Data 0.002 (0.004) Loss 1.8008 (1.9057) Prec@1 56.250 (50.411) Prec@5 80.625 (80.202) Epoch: [60][1010/11272] Time 0.882 (0.808) Data 0.001 (0.004) Loss 1.8119 (1.9052) Prec@1 50.625 (50.409) Prec@5 82.500 (80.214) Epoch: [60][1020/11272] Time 0.826 (0.807) Data 0.001 (0.004) Loss 1.9758 (1.9047) Prec@1 48.750 (50.424) Prec@5 77.500 (80.228) Epoch: [60][1030/11272] Time 0.739 (0.807) Data 0.002 (0.004) Loss 1.9241 (1.9043) Prec@1 53.750 (50.442) Prec@5 79.375 (80.230) Epoch: [60][1040/11272] Time 0.747 (0.807) Data 0.002 (0.004) Loss 1.8810 (1.9038) Prec@1 49.375 (50.451) Prec@5 83.750 (80.237) Epoch: [60][1050/11272] Time 0.822 (0.807) Data 0.002 (0.004) Loss 1.8906 (1.9039) Prec@1 46.250 (50.453) Prec@5 85.000 (80.247) Epoch: [60][1060/11272] Time 0.779 (0.807) Data 0.002 (0.004) Loss 1.7719 (1.9038) Prec@1 52.500 (50.445) Prec@5 80.000 (80.249) Epoch: [60][1070/11272] Time 0.731 (0.807) Data 0.002 (0.004) Loss 1.9730 (1.9040) Prec@1 49.375 (50.446) Prec@5 77.500 (80.247) Epoch: [60][1080/11272] Time 0.837 (0.807) Data 0.002 (0.004) Loss 1.9055 (1.9040) Prec@1 51.875 (50.430) Prec@5 81.250 (80.248) Epoch: [60][1090/11272] Time 0.862 (0.807) Data 0.001 (0.004) Loss 1.9744 (1.9043) Prec@1 43.750 (50.418) Prec@5 80.625 (80.235) Epoch: [60][1100/11272] Time 0.728 (0.807) Data 0.001 (0.004) Loss 1.6990 (1.9041) Prec@1 53.125 (50.421) Prec@5 85.000 (80.248) Epoch: [60][1110/11272] Time 0.768 (0.807) Data 0.002 (0.004) Loss 1.8335 (1.9036) Prec@1 56.875 (50.437) Prec@5 78.750 (80.255) Epoch: [60][1120/11272] Time 0.887 (0.807) Data 0.002 (0.004) Loss 1.8444 (1.9033) Prec@1 48.125 (50.443) Prec@5 83.125 (80.260) Epoch: [60][1130/11272] Time 0.859 (0.807) Data 0.002 (0.004) Loss 1.8243 (1.9025) Prec@1 50.625 (50.452) Prec@5 83.125 (80.275) Epoch: [60][1140/11272] Time 0.748 (0.807) Data 0.002 (0.004) Loss 1.9674 (1.9027) Prec@1 44.375 (50.448) Prec@5 80.000 (80.273) Epoch: [60][1150/11272] Time 0.746 (0.807) Data 0.002 (0.004) Loss 1.9497 (1.9024) Prec@1 45.000 (50.452) Prec@5 81.875 (80.282) Epoch: [60][1160/11272] Time 0.867 (0.807) Data 0.002 (0.004) Loss 1.9399 (1.9021) Prec@1 47.500 (50.444) Prec@5 80.625 (80.279) Epoch: [60][1170/11272] Time 0.827 (0.807) Data 0.001 (0.004) Loss 1.8480 (1.9012) Prec@1 46.875 (50.459) Prec@5 82.500 (80.293) Epoch: [60][1180/11272] Time 0.735 (0.807) Data 0.002 (0.004) Loss 1.7311 (1.9006) Prec@1 55.000 (50.464) Prec@5 82.500 (80.306) Epoch: [60][1190/11272] Time 0.880 (0.807) Data 0.001 (0.004) Loss 1.7514 (1.9005) Prec@1 54.375 (50.472) Prec@5 85.625 (80.308) Epoch: [60][1200/11272] Time 0.906 (0.807) Data 0.002 (0.004) Loss 1.8316 (1.8993) Prec@1 55.000 (50.500) Prec@5 81.875 (80.323) Epoch: [60][1210/11272] Time 0.731 (0.807) Data 0.002 (0.004) Loss 1.9904 (1.8997) Prec@1 50.625 (50.483) Prec@5 79.375 (80.313) Epoch: [60][1220/11272] Time 0.720 (0.807) Data 0.002 (0.004) Loss 1.8134 (1.8993) Prec@1 55.625 (50.498) Prec@5 82.500 (80.321) Epoch: [60][1230/11272] Time 0.882 (0.806) Data 0.001 (0.004) Loss 2.0057 (1.8988) Prec@1 48.750 (50.500) Prec@5 77.500 (80.335) Epoch: [60][1240/11272] Time 0.861 (0.806) Data 0.002 (0.004) Loss 1.7186 (1.8984) Prec@1 58.750 (50.510) Prec@5 81.250 (80.342) Epoch: [60][1250/11272] Time 0.741 (0.806) Data 0.002 (0.004) Loss 1.5751 (1.8984) Prec@1 58.750 (50.511) Prec@5 83.125 (80.340) Epoch: [60][1260/11272] Time 0.736 (0.806) Data 0.001 (0.004) Loss 1.8597 (1.8978) Prec@1 50.000 (50.526) Prec@5 80.000 (80.349) Epoch: [60][1270/11272] Time 0.868 (0.806) Data 0.002 (0.004) Loss 1.9497 (1.8980) Prec@1 48.750 (50.509) Prec@5 81.250 (80.349) Epoch: [60][1280/11272] Time 0.917 (0.806) Data 0.002 (0.004) Loss 1.7371 (1.8978) Prec@1 51.250 (50.510) Prec@5 85.000 (80.353) Epoch: [60][1290/11272] Time 0.755 (0.806) Data 0.002 (0.004) Loss 1.9367 (1.8975) Prec@1 50.625 (50.511) Prec@5 83.125 (80.361) Epoch: [60][1300/11272] Time 0.747 (0.806) Data 0.001 (0.004) Loss 1.7577 (1.8971) Prec@1 53.750 (50.520) Prec@5 83.125 (80.372) Epoch: [60][1310/11272] Time 0.830 (0.806) Data 0.002 (0.004) Loss 1.9964 (1.8971) Prec@1 45.625 (50.528) Prec@5 78.750 (80.376) Epoch: [60][1320/11272] Time 0.767 (0.806) Data 0.003 (0.004) Loss 1.8363 (1.8968) Prec@1 48.750 (50.529) Prec@5 81.250 (80.381) Epoch: [60][1330/11272] Time 0.746 (0.806) Data 0.002 (0.004) Loss 1.7964 (1.8976) Prec@1 55.000 (50.511) Prec@5 85.000 (80.370) Epoch: [60][1340/11272] Time 0.886 (0.806) Data 0.002 (0.004) Loss 1.8029 (1.8973) Prec@1 52.500 (50.520) Prec@5 85.625 (80.374) Epoch: [60][1350/11272] Time 0.847 (0.806) Data 0.002 (0.004) Loss 1.7218 (1.8969) Prec@1 53.750 (50.530) Prec@5 85.000 (80.391) Epoch: [60][1360/11272] Time 0.732 (0.806) Data 0.002 (0.004) Loss 1.8100 (1.8963) Prec@1 59.375 (50.551) Prec@5 83.750 (80.394) Epoch: [60][1370/11272] Time 0.783 (0.806) Data 0.002 (0.004) Loss 1.9186 (1.8967) Prec@1 45.000 (50.535) Prec@5 80.000 (80.387) Epoch: [60][1380/11272] Time 0.864 (0.806) Data 0.002 (0.004) Loss 2.0325 (1.8960) Prec@1 48.125 (50.554) Prec@5 79.375 (80.408) Epoch: [60][1390/11272] Time 0.831 (0.806) Data 0.001 (0.004) Loss 2.0031 (1.8957) Prec@1 46.875 (50.554) Prec@5 78.750 (80.425) Epoch: [60][1400/11272] Time 0.734 (0.806) Data 0.002 (0.004) Loss 1.8584 (1.8956) Prec@1 50.000 (50.559) Prec@5 78.750 (80.424) Epoch: [60][1410/11272] Time 0.772 (0.806) Data 0.002 (0.004) Loss 1.8477 (1.8953) Prec@1 46.250 (50.565) Prec@5 79.375 (80.427) Epoch: [60][1420/11272] Time 0.896 (0.806) Data 0.002 (0.004) Loss 1.7355 (1.8953) Prec@1 52.500 (50.560) Prec@5 86.250 (80.434) Epoch: [60][1430/11272] Time 0.877 (0.806) Data 0.001 (0.004) Loss 1.6031 (1.8948) Prec@1 57.500 (50.569) Prec@5 86.250 (80.445) Epoch: [60][1440/11272] Time 0.732 (0.806) Data 0.001 (0.004) Loss 1.7349 (1.8949) Prec@1 60.000 (50.581) Prec@5 82.500 (80.438) Epoch: [60][1450/11272] Time 0.832 (0.806) Data 0.002 (0.004) Loss 1.7844 (1.8947) Prec@1 50.625 (50.575) Prec@5 83.750 (80.444) Epoch: [60][1460/11272] Time 0.861 (0.806) Data 0.002 (0.004) Loss 1.9752 (1.8943) Prec@1 50.000 (50.587) Prec@5 75.000 (80.452) Epoch: [60][1470/11272] Time 0.737 (0.806) Data 0.001 (0.004) Loss 1.8548 (1.8938) Prec@1 46.875 (50.589) Prec@5 82.500 (80.457) Epoch: [60][1480/11272] Time 0.790 (0.806) Data 0.002 (0.004) Loss 1.9112 (1.8934) Prec@1 51.250 (50.599) Prec@5 78.750 (80.466) Epoch: [60][1490/11272] Time 0.891 (0.806) Data 0.002 (0.004) Loss 1.6927 (1.8928) Prec@1 55.625 (50.612) Prec@5 85.000 (80.475) Epoch: [60][1500/11272] Time 0.855 (0.806) Data 0.002 (0.004) Loss 2.0562 (1.8925) Prec@1 46.875 (50.628) Prec@5 79.375 (80.481) Epoch: [60][1510/11272] Time 0.736 (0.806) Data 0.002 (0.004) Loss 2.0783 (1.8925) Prec@1 45.625 (50.620) Prec@5 76.250 (80.479) Epoch: [60][1520/11272] Time 0.739 (0.806) Data 0.002 (0.004) Loss 1.8269 (1.8927) Prec@1 50.625 (50.615) Prec@5 79.375 (80.471) Epoch: [60][1530/11272] Time 0.862 (0.806) Data 0.002 (0.004) Loss 1.9029 (1.8922) Prec@1 52.500 (50.627) Prec@5 80.000 (80.476) Epoch: [60][1540/11272] Time 0.895 (0.806) Data 0.002 (0.004) Loss 1.6081 (1.8920) Prec@1 57.500 (50.639) Prec@5 86.250 (80.477) Epoch: [60][1550/11272] Time 0.750 (0.806) Data 0.002 (0.003) Loss 1.8255 (1.8917) Prec@1 48.125 (50.643) Prec@5 80.000 (80.482) Epoch: [60][1560/11272] Time 0.735 (0.806) Data 0.001 (0.003) Loss 2.0254 (1.8914) Prec@1 46.250 (50.658) Prec@5 77.500 (80.484) Epoch: [60][1570/11272] Time 0.866 (0.806) Data 0.002 (0.003) Loss 1.8151 (1.8912) Prec@1 50.625 (50.670) Prec@5 83.750 (80.481) Epoch: [60][1580/11272] Time 0.780 (0.806) Data 0.003 (0.003) Loss 2.0021 (1.8905) Prec@1 49.375 (50.694) Prec@5 77.500 (80.497) Epoch: [60][1590/11272] Time 0.743 (0.806) Data 0.002 (0.003) Loss 1.8512 (1.8907) Prec@1 52.500 (50.691) Prec@5 78.750 (80.497) Epoch: [60][1600/11272] Time 0.839 (0.806) Data 0.001 (0.003) Loss 1.9154 (1.8905) Prec@1 51.875 (50.693) Prec@5 74.375 (80.495) Epoch: [60][1610/11272] Time 0.869 (0.806) Data 0.002 (0.003) Loss 1.8964 (1.8899) Prec@1 53.125 (50.708) Prec@5 80.625 (80.504) Epoch: [60][1620/11272] Time 0.738 (0.806) Data 0.002 (0.003) Loss 1.7504 (1.8896) Prec@1 50.625 (50.711) Prec@5 83.750 (80.498) Epoch: [60][1630/11272] Time 0.731 (0.806) Data 0.002 (0.003) Loss 1.8656 (1.8894) Prec@1 51.875 (50.720) Prec@5 79.375 (80.501) Epoch: [60][1640/11272] Time 0.835 (0.806) Data 0.002 (0.003) Loss 1.6919 (1.8897) Prec@1 56.250 (50.722) Prec@5 84.375 (80.505) Epoch: [60][1650/11272] Time 0.821 (0.806) Data 0.001 (0.003) Loss 1.8167 (1.8895) Prec@1 51.250 (50.720) Prec@5 83.125 (80.514) Epoch: [60][1660/11272] Time 0.726 (0.805) Data 0.001 (0.003) Loss 1.5944 (1.8889) Prec@1 58.125 (50.739) Prec@5 82.500 (80.524) Epoch: [60][1670/11272] Time 0.728 (0.805) Data 0.002 (0.003) Loss 1.6546 (1.8883) Prec@1 56.875 (50.751) Prec@5 86.250 (80.533) Epoch: [60][1680/11272] Time 0.850 (0.805) Data 0.001 (0.003) Loss 1.8553 (1.8881) Prec@1 50.625 (50.750) Prec@5 80.000 (80.542) Epoch: [60][1690/11272] Time 0.864 (0.805) Data 0.002 (0.003) Loss 1.8283 (1.8878) Prec@1 50.000 (50.753) Prec@5 81.250 (80.546) Epoch: [60][1700/11272] Time 0.746 (0.805) Data 0.002 (0.003) Loss 1.9107 (1.8874) Prec@1 48.750 (50.764) Prec@5 81.875 (80.552) Epoch: [60][1710/11272] Time 0.862 (0.805) Data 0.002 (0.003) Loss 1.8694 (1.8873) Prec@1 50.000 (50.761) Prec@5 76.250 (80.550) Epoch: [60][1720/11272] Time 0.871 (0.805) Data 0.002 (0.003) Loss 1.6876 (1.8872) Prec@1 51.875 (50.762) Prec@5 85.000 (80.550) Epoch: [60][1730/11272] Time 0.781 (0.805) Data 0.001 (0.003) Loss 1.8259 (1.8867) Prec@1 48.125 (50.776) Prec@5 80.625 (80.560) Epoch: [60][1740/11272] Time 0.725 (0.805) Data 0.001 (0.003) Loss 2.0757 (1.8864) Prec@1 51.875 (50.785) Prec@5 80.625 (80.564) Epoch: [60][1750/11272] Time 0.848 (0.805) Data 0.002 (0.003) Loss 1.9674 (1.8868) Prec@1 47.500 (50.780) Prec@5 76.875 (80.559) Epoch: [60][1760/11272] Time 0.837 (0.805) Data 0.001 (0.003) Loss 1.9051 (1.8867) Prec@1 50.625 (50.778) Prec@5 81.875 (80.567) Epoch: [60][1770/11272] Time 0.734 (0.805) Data 0.001 (0.003) Loss 1.6238 (1.8863) Prec@1 55.000 (50.787) Prec@5 86.250 (80.572) Epoch: [60][1780/11272] Time 0.728 (0.805) Data 0.001 (0.003) Loss 2.1256 (1.8863) Prec@1 44.375 (50.782) Prec@5 75.000 (80.571) Epoch: [60][1790/11272] Time 0.861 (0.805) Data 0.002 (0.003) Loss 1.7395 (1.8859) Prec@1 55.625 (50.790) Prec@5 82.500 (80.574) Epoch: [60][1800/11272] Time 0.915 (0.805) Data 0.002 (0.003) Loss 1.9939 (1.8861) Prec@1 43.750 (50.783) Prec@5 77.500 (80.568) Epoch: [60][1810/11272] Time 0.728 (0.805) Data 0.002 (0.003) Loss 2.0337 (1.8863) Prec@1 50.000 (50.785) Prec@5 78.125 (80.564) Epoch: [60][1820/11272] Time 0.731 (0.805) Data 0.002 (0.003) Loss 1.9572 (1.8863) Prec@1 48.750 (50.782) Prec@5 81.250 (80.567) Epoch: [60][1830/11272] Time 0.815 (0.805) Data 0.001 (0.003) Loss 2.0034 (1.8861) Prec@1 51.250 (50.796) Prec@5 81.250 (80.572) Epoch: [60][1840/11272] Time 0.854 (0.805) Data 0.002 (0.003) Loss 2.2058 (1.8861) Prec@1 46.875 (50.792) Prec@5 74.375 (80.570) Epoch: [60][1850/11272] Time 0.748 (0.805) Data 0.002 (0.003) Loss 1.7609 (1.8860) Prec@1 51.875 (50.799) Prec@5 80.625 (80.567) Epoch: [60][1860/11272] Time 0.872 (0.805) Data 0.001 (0.003) Loss 1.6450 (1.8857) Prec@1 55.625 (50.803) Prec@5 83.125 (80.567) Epoch: [60][1870/11272] Time 0.825 (0.805) Data 0.002 (0.003) Loss 1.8456 (1.8859) Prec@1 53.125 (50.797) Prec@5 82.500 (80.567) Epoch: [60][1880/11272] Time 0.746 (0.805) Data 0.001 (0.003) Loss 1.9382 (1.8858) Prec@1 50.000 (50.791) Prec@5 79.375 (80.573) Epoch: [60][1890/11272] Time 0.743 (0.805) Data 0.002 (0.003) Loss 1.7924 (1.8855) Prec@1 48.125 (50.796) Prec@5 81.875 (80.576) Epoch: [60][1900/11272] Time 0.850 (0.805) Data 0.001 (0.003) Loss 1.6920 (1.8852) Prec@1 54.375 (50.804) Prec@5 83.125 (80.577) Epoch: [60][1910/11272] Time 0.840 (0.804) Data 0.001 (0.003) Loss 1.8417 (1.8848) Prec@1 43.750 (50.804) Prec@5 80.625 (80.587) Epoch: [60][1920/11272] Time 0.749 (0.804) Data 0.002 (0.003) Loss 1.9923 (1.8849) Prec@1 51.875 (50.793) Prec@5 78.750 (80.584) Epoch: [60][1930/11272] Time 0.760 (0.804) Data 0.002 (0.003) Loss 1.8296 (1.8847) Prec@1 52.500 (50.800) Prec@5 81.250 (80.586) Epoch: [60][1940/11272] Time 0.844 (0.804) Data 0.001 (0.003) Loss 1.7616 (1.8842) Prec@1 56.875 (50.812) Prec@5 80.625 (80.595) Epoch: [60][1950/11272] Time 0.835 (0.804) Data 0.001 (0.003) Loss 2.0686 (1.8842) Prec@1 45.000 (50.812) Prec@5 78.125 (80.598) Epoch: [60][1960/11272] Time 0.742 (0.804) Data 0.002 (0.003) Loss 1.8536 (1.8841) Prec@1 47.500 (50.810) Prec@5 85.000 (80.601) Epoch: [60][1970/11272] Time 0.727 (0.804) Data 0.002 (0.003) Loss 1.8797 (1.8841) Prec@1 48.750 (50.794) Prec@5 82.500 (80.604) Epoch: [60][1980/11272] Time 0.862 (0.804) Data 0.002 (0.003) Loss 1.7649 (1.8841) Prec@1 48.750 (50.793) Prec@5 81.875 (80.603) Epoch: [60][1990/11272] Time 0.757 (0.804) Data 0.001 (0.003) Loss 2.0476 (1.8838) Prec@1 44.375 (50.794) Prec@5 80.000 (80.606) Epoch: [60][2000/11272] Time 0.743 (0.804) Data 0.002 (0.003) Loss 1.8080 (1.8836) Prec@1 55.000 (50.798) Prec@5 82.500 (80.615) Epoch: [60][2010/11272] Time 0.888 (0.805) Data 0.002 (0.003) Loss 1.9841 (1.8833) Prec@1 46.250 (50.797) Prec@5 78.125 (80.615) Epoch: [60][2020/11272] Time 0.925 (0.805) Data 0.002 (0.003) Loss 2.0312 (1.8828) Prec@1 46.250 (50.805) Prec@5 80.000 (80.627) Epoch: [60][2030/11272] Time 0.779 (0.805) Data 0.006 (0.003) Loss 1.9328 (1.8824) Prec@1 45.625 (50.808) Prec@5 81.875 (80.633) Epoch: [60][2040/11272] Time 0.731 (0.805) Data 0.002 (0.003) Loss 1.8785 (1.8822) Prec@1 47.500 (50.818) Prec@5 79.375 (80.636) Epoch: [60][2050/11272] Time 0.864 (0.805) Data 0.002 (0.003) Loss 1.9012 (1.8821) Prec@1 52.500 (50.820) Prec@5 84.375 (80.641) Epoch: [60][2060/11272] Time 0.874 (0.805) Data 0.002 (0.003) Loss 1.7698 (1.8821) Prec@1 51.875 (50.820) Prec@5 85.000 (80.642) Epoch: [60][2070/11272] Time 0.735 (0.805) Data 0.002 (0.003) Loss 1.4734 (1.8814) Prec@1 61.875 (50.837) Prec@5 88.125 (80.658) Epoch: [60][2080/11272] Time 0.764 (0.805) Data 0.002 (0.003) Loss 1.9079 (1.8814) Prec@1 49.375 (50.834) Prec@5 80.625 (80.658) Epoch: [60][2090/11272] Time 0.875 (0.805) Data 0.002 (0.003) Loss 1.9128 (1.8813) Prec@1 46.250 (50.841) Prec@5 76.250 (80.656) Epoch: [60][2100/11272] Time 0.876 (0.805) Data 0.001 (0.003) Loss 1.7976 (1.8812) Prec@1 50.625 (50.836) Prec@5 83.125 (80.654) Epoch: [60][2110/11272] Time 0.733 (0.805) Data 0.001 (0.003) Loss 1.8156 (1.8813) Prec@1 48.750 (50.823) Prec@5 85.625 (80.656) Epoch: [60][2120/11272] Time 0.904 (0.805) Data 0.002 (0.003) Loss 1.9088 (1.8813) Prec@1 49.375 (50.820) Prec@5 78.125 (80.657) Epoch: [60][2130/11272] Time 0.899 (0.805) Data 0.002 (0.003) Loss 1.7551 (1.8810) Prec@1 60.000 (50.834) Prec@5 82.500 (80.660) Epoch: [60][2140/11272] Time 0.737 (0.805) Data 0.001 (0.003) Loss 1.8657 (1.8809) Prec@1 51.250 (50.840) Prec@5 82.500 (80.661) Epoch: [60][2150/11272] Time 0.730 (0.805) Data 0.002 (0.003) Loss 1.8921 (1.8809) Prec@1 55.000 (50.844) Prec@5 76.875 (80.662) Epoch: [60][2160/11272] Time 0.819 (0.805) Data 0.001 (0.003) Loss 1.9523 (1.8810) Prec@1 50.000 (50.835) Prec@5 77.500 (80.660) Epoch: [60][2170/11272] Time 0.887 (0.805) Data 0.001 (0.003) Loss 1.7071 (1.8805) Prec@1 53.750 (50.844) Prec@5 84.375 (80.671) Epoch: [60][2180/11272] Time 0.749 (0.805) Data 0.002 (0.003) Loss 1.9883 (1.8806) Prec@1 41.250 (50.836) Prec@5 81.250 (80.668) Epoch: [60][2190/11272] Time 0.727 (0.805) Data 0.002 (0.003) Loss 1.6964 (1.8806) Prec@1 53.750 (50.828) Prec@5 85.625 (80.666) Epoch: [60][2200/11272] Time 0.845 (0.805) Data 0.001 (0.003) Loss 2.0703 (1.8804) Prec@1 47.500 (50.832) Prec@5 73.125 (80.669) Epoch: [60][2210/11272] Time 0.902 (0.805) Data 0.002 (0.003) Loss 1.8847 (1.8802) Prec@1 55.625 (50.835) Prec@5 81.250 (80.675) Epoch: [60][2220/11272] Time 0.724 (0.805) Data 0.001 (0.003) Loss 1.7816 (1.8799) Prec@1 48.750 (50.844) Prec@5 83.750 (80.680) Epoch: [60][2230/11272] Time 0.757 (0.805) Data 0.002 (0.003) Loss 1.7820 (1.8798) Prec@1 50.625 (50.843) Prec@5 83.750 (80.684) Epoch: [60][2240/11272] Time 0.860 (0.805) Data 0.002 (0.003) Loss 1.8133 (1.8797) Prec@1 46.875 (50.841) Prec@5 84.375 (80.686) Epoch: [60][2250/11272] Time 0.731 (0.805) Data 0.003 (0.003) Loss 1.7295 (1.8794) Prec@1 53.750 (50.849) Prec@5 83.750 (80.688) Epoch: [60][2260/11272] Time 0.751 (0.805) Data 0.003 (0.003) Loss 1.9842 (1.8793) Prec@1 47.500 (50.855) Prec@5 78.125 (80.688) Epoch: [60][2270/11272] Time 0.875 (0.805) Data 0.002 (0.003) Loss 1.7959 (1.8790) Prec@1 54.375 (50.859) Prec@5 80.000 (80.692) Epoch: [60][2280/11272] Time 0.925 (0.805) Data 0.001 (0.003) Loss 1.8151 (1.8787) Prec@1 53.750 (50.861) Prec@5 83.750 (80.701) Epoch: [60][2290/11272] Time 0.731 (0.805) Data 0.002 (0.003) Loss 1.9942 (1.8784) Prec@1 49.375 (50.864) Prec@5 77.500 (80.706) Epoch: [60][2300/11272] Time 0.737 (0.805) Data 0.002 (0.003) Loss 1.8241 (1.8780) Prec@1 53.125 (50.872) Prec@5 81.875 (80.711) Epoch: [60][2310/11272] Time 0.832 (0.805) Data 0.002 (0.003) Loss 1.6988 (1.8775) Prec@1 58.125 (50.881) Prec@5 83.125 (80.723) Epoch: [60][2320/11272] Time 0.895 (0.805) Data 0.002 (0.003) Loss 1.8342 (1.8777) Prec@1 55.625 (50.879) Prec@5 81.875 (80.723) Epoch: [60][2330/11272] Time 0.710 (0.805) Data 0.001 (0.003) Loss 1.5342 (1.8776) Prec@1 59.375 (50.881) Prec@5 86.250 (80.723) Epoch: [60][2340/11272] Time 0.740 (0.805) Data 0.002 (0.003) Loss 1.9141 (1.8775) Prec@1 51.250 (50.883) Prec@5 76.875 (80.721) Epoch: [60][2350/11272] Time 0.822 (0.805) Data 0.001 (0.003) Loss 1.8926 (1.8774) Prec@1 47.500 (50.880) Prec@5 78.750 (80.722) Epoch: [60][2360/11272] Time 0.806 (0.805) Data 0.002 (0.003) Loss 2.0064 (1.8773) Prec@1 52.500 (50.882) Prec@5 79.375 (80.725) Epoch: [60][2370/11272] Time 0.720 (0.805) Data 0.002 (0.003) Loss 1.8132 (1.8770) Prec@1 51.875 (50.884) Prec@5 81.250 (80.729) Epoch: [60][2380/11272] Time 0.917 (0.805) Data 0.002 (0.003) Loss 1.8664 (1.8770) Prec@1 56.250 (50.883) Prec@5 79.375 (80.733) Epoch: [60][2390/11272] Time 0.839 (0.805) Data 0.001 (0.003) Loss 2.0673 (1.8770) Prec@1 55.625 (50.889) Prec@5 73.750 (80.733) Epoch: [60][2400/11272] Time 0.736 (0.805) Data 0.001 (0.003) Loss 1.7221 (1.8769) Prec@1 50.625 (50.889) Prec@5 83.125 (80.730) Epoch: [60][2410/11272] Time 0.728 (0.805) Data 0.002 (0.003) Loss 1.6177 (1.8768) Prec@1 55.000 (50.887) Prec@5 81.875 (80.728) Epoch: [60][2420/11272] Time 0.891 (0.805) Data 0.002 (0.003) Loss 1.7538 (1.8768) Prec@1 51.250 (50.885) Prec@5 83.125 (80.731) Epoch: [60][2430/11272] Time 0.936 (0.805) Data 0.001 (0.003) Loss 2.2271 (1.8769) Prec@1 43.750 (50.880) Prec@5 71.250 (80.726) Epoch: [60][2440/11272] Time 0.777 (0.805) Data 0.001 (0.003) Loss 1.6873 (1.8767) Prec@1 58.750 (50.888) Prec@5 81.875 (80.726) Epoch: [60][2450/11272] Time 0.742 (0.805) Data 0.002 (0.003) Loss 1.6706 (1.8763) Prec@1 54.375 (50.903) Prec@5 83.125 (80.730) Epoch: [60][2460/11272] Time 0.907 (0.805) Data 0.002 (0.003) Loss 1.7886 (1.8763) Prec@1 53.125 (50.903) Prec@5 80.625 (80.731) Epoch: [60][2470/11272] Time 0.844 (0.805) Data 0.002 (0.003) Loss 1.9518 (1.8765) Prec@1 50.000 (50.896) Prec@5 78.750 (80.730) Epoch: [60][2480/11272] Time 0.726 (0.805) Data 0.002 (0.003) Loss 1.6284 (1.8763) Prec@1 51.875 (50.899) Prec@5 85.000 (80.736) Epoch: [60][2490/11272] Time 0.749 (0.805) Data 0.002 (0.003) Loss 1.7271 (1.8763) Prec@1 55.625 (50.898) Prec@5 83.125 (80.735) Epoch: [60][2500/11272] Time 0.839 (0.805) Data 0.001 (0.003) Loss 2.2304 (1.8759) Prec@1 43.750 (50.907) Prec@5 73.125 (80.742) Epoch: [60][2510/11272] Time 0.747 (0.805) Data 0.003 (0.003) Loss 1.7668 (1.8758) Prec@1 51.875 (50.904) Prec@5 83.750 (80.746) Epoch: [60][2520/11272] Time 0.722 (0.805) Data 0.002 (0.003) Loss 1.7503 (1.8756) Prec@1 55.000 (50.915) Prec@5 86.875 (80.752) Epoch: [60][2530/11272] Time 0.827 (0.805) Data 0.001 (0.003) Loss 1.8811 (1.8756) Prec@1 48.125 (50.913) Prec@5 80.625 (80.752) Epoch: [60][2540/11272] Time 0.837 (0.805) Data 0.002 (0.003) Loss 1.8714 (1.8758) Prec@1 49.375 (50.907) Prec@5 81.250 (80.750) Epoch: [60][2550/11272] Time 0.737 (0.805) Data 0.002 (0.003) Loss 1.7456 (1.8754) Prec@1 51.875 (50.921) Prec@5 86.250 (80.760) Epoch: [60][2560/11272] Time 0.751 (0.805) Data 0.002 (0.003) Loss 1.7749 (1.8756) Prec@1 51.875 (50.913) Prec@5 78.750 (80.756) Epoch: [60][2570/11272] Time 0.832 (0.805) Data 0.001 (0.003) Loss 1.9980 (1.8756) Prec@1 48.125 (50.912) Prec@5 76.875 (80.754) Epoch: [60][2580/11272] Time 0.799 (0.805) Data 0.002 (0.003) Loss 1.9199 (1.8758) Prec@1 50.625 (50.905) Prec@5 81.875 (80.755) Epoch: [60][2590/11272] Time 0.775 (0.805) Data 0.002 (0.003) Loss 1.9636 (1.8756) Prec@1 49.375 (50.913) Prec@5 80.000 (80.763) Epoch: [60][2600/11272] Time 0.728 (0.805) Data 0.002 (0.003) Loss 1.8218 (1.8751) Prec@1 50.625 (50.923) Prec@5 83.125 (80.770) Epoch: [60][2610/11272] Time 0.809 (0.805) Data 0.002 (0.003) Loss 2.0666 (1.8752) Prec@1 45.625 (50.919) Prec@5 78.750 (80.769) Epoch: [60][2620/11272] Time 0.875 (0.805) Data 0.001 (0.003) Loss 1.5958 (1.8750) Prec@1 56.875 (50.919) Prec@5 88.125 (80.773) Epoch: [60][2630/11272] Time 0.734 (0.804) Data 0.002 (0.003) Loss 1.7626 (1.8746) Prec@1 55.000 (50.927) Prec@5 83.125 (80.782) Epoch: [60][2640/11272] Time 0.835 (0.804) Data 0.002 (0.003) Loss 1.7506 (1.8743) Prec@1 55.625 (50.939) Prec@5 81.250 (80.782) Epoch: [60][2650/11272] Time 0.890 (0.804) Data 0.002 (0.003) Loss 1.7899 (1.8742) Prec@1 53.750 (50.941) Prec@5 82.500 (80.782) Epoch: [60][2660/11272] Time 0.751 (0.804) Data 0.002 (0.003) Loss 1.7779 (1.8744) Prec@1 54.375 (50.942) Prec@5 81.875 (80.780) Epoch: [60][2670/11272] Time 0.712 (0.804) Data 0.001 (0.003) Loss 2.0884 (1.8745) Prec@1 50.000 (50.943) Prec@5 77.500 (80.781) Epoch: [60][2680/11272] Time 0.889 (0.805) Data 0.002 (0.003) Loss 1.7065 (1.8744) Prec@1 57.500 (50.948) Prec@5 86.250 (80.780) Epoch: [60][2690/11272] Time 0.932 (0.805) Data 0.001 (0.003) Loss 1.7283 (1.8742) Prec@1 59.375 (50.954) Prec@5 84.375 (80.780) Epoch: [60][2700/11272] Time 0.795 (0.805) Data 0.002 (0.003) Loss 1.7568 (1.8741) Prec@1 58.125 (50.960) Prec@5 80.625 (80.783) Epoch: [60][2710/11272] Time 0.776 (0.805) Data 0.002 (0.003) Loss 1.7153 (1.8740) Prec@1 54.375 (50.965) Prec@5 79.375 (80.788) Epoch: [60][2720/11272] Time 0.848 (0.805) Data 0.001 (0.003) Loss 2.0687 (1.8741) Prec@1 50.625 (50.958) Prec@5 76.875 (80.787) Epoch: [60][2730/11272] Time 0.876 (0.805) Data 0.002 (0.003) Loss 1.6639 (1.8738) Prec@1 58.750 (50.964) Prec@5 84.375 (80.790) Epoch: [60][2740/11272] Time 0.790 (0.805) Data 0.003 (0.003) Loss 1.7684 (1.8735) Prec@1 54.375 (50.968) Prec@5 81.875 (80.795) Epoch: [60][2750/11272] Time 0.759 (0.805) Data 0.002 (0.003) Loss 1.8978 (1.8738) Prec@1 50.625 (50.963) Prec@5 83.125 (80.789) Epoch: [60][2760/11272] Time 0.871 (0.805) Data 0.002 (0.003) Loss 1.7845 (1.8737) Prec@1 53.125 (50.965) Prec@5 82.500 (80.789) Epoch: [60][2770/11272] Time 0.926 (0.805) Data 0.002 (0.003) Loss 1.7227 (1.8735) Prec@1 51.875 (50.967) Prec@5 85.625 (80.796) Epoch: [60][2780/11272] Time 0.765 (0.805) Data 0.002 (0.003) Loss 2.0517 (1.8736) Prec@1 49.375 (50.969) Prec@5 76.875 (80.794) Epoch: [60][2790/11272] Time 0.929 (0.805) Data 0.002 (0.003) Loss 1.7873 (1.8737) Prec@1 53.750 (50.969) Prec@5 83.125 (80.793) Epoch: [60][2800/11272] Time 0.890 (0.805) Data 0.002 (0.003) Loss 1.8652 (1.8734) Prec@1 50.625 (50.975) Prec@5 82.500 (80.801) Epoch: [60][2810/11272] Time 0.794 (0.805) Data 0.002 (0.003) Loss 1.5967 (1.8734) Prec@1 60.625 (50.976) Prec@5 83.750 (80.801) Epoch: [60][2820/11272] Time 0.794 (0.805) Data 0.002 (0.003) Loss 1.8467 (1.8729) Prec@1 48.750 (50.990) Prec@5 85.000 (80.811) Epoch: [60][2830/11272] Time 0.891 (0.806) Data 0.001 (0.003) Loss 1.9549 (1.8731) Prec@1 52.500 (50.985) Prec@5 82.500 (80.806) Epoch: [60][2840/11272] Time 0.849 (0.806) Data 0.002 (0.003) Loss 1.9068 (1.8730) Prec@1 48.750 (50.988) Prec@5 81.250 (80.806) Epoch: [60][2850/11272] Time 0.744 (0.806) Data 0.002 (0.003) Loss 1.7581 (1.8731) Prec@1 51.250 (50.991) Prec@5 81.250 (80.803) Epoch: [60][2860/11272] Time 0.754 (0.806) Data 0.002 (0.003) Loss 1.9384 (1.8731) Prec@1 50.625 (50.994) Prec@5 83.125 (80.800) Epoch: [60][2870/11272] Time 0.871 (0.806) Data 0.002 (0.003) Loss 1.5625 (1.8728) Prec@1 58.750 (51.000) Prec@5 87.500 (80.805) Epoch: [60][2880/11272] Time 0.831 (0.806) Data 0.001 (0.003) Loss 1.8381 (1.8729) Prec@1 50.000 (51.000) Prec@5 81.250 (80.805) Epoch: [60][2890/11272] Time 0.737 (0.806) Data 0.002 (0.003) Loss 1.9109 (1.8729) Prec@1 55.625 (51.003) Prec@5 78.125 (80.805) Epoch: [60][2900/11272] Time 0.764 (0.806) Data 0.002 (0.003) Loss 1.6196 (1.8727) Prec@1 55.000 (51.008) Prec@5 85.625 (80.810) Epoch: [60][2910/11272] Time 0.910 (0.806) Data 0.002 (0.003) Loss 1.7559 (1.8727) Prec@1 55.000 (51.010) Prec@5 83.125 (80.812) Epoch: [60][2920/11272] Time 0.735 (0.806) Data 0.001 (0.003) Loss 1.9255 (1.8726) Prec@1 52.500 (51.016) Prec@5 80.625 (80.815) Epoch: [60][2930/11272] Time 0.741 (0.806) Data 0.002 (0.003) Loss 1.8707 (1.8724) Prec@1 54.375 (51.016) Prec@5 78.750 (80.815) Epoch: [60][2940/11272] Time 0.855 (0.806) Data 0.002 (0.003) Loss 2.0841 (1.8725) Prec@1 45.625 (51.012) Prec@5 78.125 (80.813) Epoch: [60][2950/11272] Time 0.859 (0.806) Data 0.002 (0.003) Loss 1.6878 (1.8724) Prec@1 55.625 (51.011) Prec@5 85.625 (80.816) Epoch: [60][2960/11272] Time 0.726 (0.806) Data 0.002 (0.003) Loss 1.8525 (1.8722) Prec@1 51.875 (51.014) Prec@5 78.750 (80.819) Epoch: [60][2970/11272] Time 0.738 (0.805) Data 0.002 (0.003) Loss 1.6923 (1.8721) Prec@1 55.625 (51.022) Prec@5 85.000 (80.822) Epoch: [60][2980/11272] Time 0.883 (0.805) Data 0.002 (0.003) Loss 1.8337 (1.8721) Prec@1 50.000 (51.021) Prec@5 80.625 (80.826) Epoch: [60][2990/11272] Time 0.869 (0.805) Data 0.002 (0.003) Loss 1.8927 (1.8721) Prec@1 46.250 (51.020) Prec@5 79.375 (80.828) Epoch: [60][3000/11272] Time 0.726 (0.805) Data 0.002 (0.003) Loss 1.7601 (1.8718) Prec@1 49.375 (51.025) Prec@5 83.750 (80.836) Epoch: [60][3010/11272] Time 0.734 (0.805) Data 0.002 (0.003) Loss 1.8667 (1.8716) Prec@1 51.250 (51.030) Prec@5 81.875 (80.839) Epoch: [60][3020/11272] Time 0.871 (0.805) Data 0.002 (0.003) Loss 2.0690 (1.8717) Prec@1 48.750 (51.028) Prec@5 83.125 (80.842) Epoch: [60][3030/11272] Time 0.861 (0.806) Data 0.002 (0.003) Loss 1.8379 (1.8714) Prec@1 49.375 (51.029) Prec@5 82.500 (80.847) Epoch: [60][3040/11272] Time 0.734 (0.806) Data 0.002 (0.003) Loss 1.9130 (1.8715) Prec@1 51.875 (51.030) Prec@5 79.375 (80.845) Epoch: [60][3050/11272] Time 0.879 (0.806) Data 0.001 (0.003) Loss 1.8790 (1.8714) Prec@1 51.875 (51.033) Prec@5 81.875 (80.849) Epoch: [60][3060/11272] Time 0.875 (0.806) Data 0.002 (0.003) Loss 1.6487 (1.8711) Prec@1 58.125 (51.036) Prec@5 80.625 (80.855) Epoch: [60][3070/11272] Time 0.783 (0.806) Data 0.002 (0.003) Loss 1.8458 (1.8711) Prec@1 50.000 (51.037) Prec@5 82.500 (80.857) Epoch: [60][3080/11272] Time 0.734 (0.806) Data 0.002 (0.003) Loss 2.0007 (1.8710) Prec@1 54.375 (51.048) Prec@5 79.375 (80.859) Epoch: [60][3090/11272] Time 0.908 (0.806) Data 0.002 (0.003) Loss 1.8996 (1.8709) Prec@1 50.625 (51.050) Prec@5 82.500 (80.860) Epoch: [60][3100/11272] Time 0.883 (0.806) Data 0.002 (0.003) Loss 2.0074 (1.8709) Prec@1 53.125 (51.052) Prec@5 76.250 (80.858) Epoch: [60][3110/11272] Time 0.727 (0.806) Data 0.002 (0.003) Loss 1.7103 (1.8709) Prec@1 56.250 (51.056) Prec@5 81.875 (80.859) Epoch: [60][3120/11272] Time 0.748 (0.806) Data 0.001 (0.003) Loss 1.7903 (1.8710) Prec@1 52.500 (51.057) Prec@5 78.750 (80.856) Epoch: [60][3130/11272] Time 0.853 (0.806) Data 0.001 (0.003) Loss 1.7173 (1.8707) Prec@1 46.250 (51.062) Prec@5 85.000 (80.862) Epoch: [60][3140/11272] Time 0.838 (0.806) Data 0.002 (0.003) Loss 1.9699 (1.8708) Prec@1 47.500 (51.059) Prec@5 76.875 (80.862) Epoch: [60][3150/11272] Time 0.772 (0.806) Data 0.002 (0.003) Loss 2.0746 (1.8709) Prec@1 46.875 (51.058) Prec@5 78.125 (80.859) Epoch: [60][3160/11272] Time 0.748 (0.806) Data 0.001 (0.003) Loss 1.9031 (1.8708) Prec@1 49.375 (51.058) Prec@5 80.625 (80.863) Epoch: [60][3170/11272] Time 0.896 (0.805) Data 0.002 (0.003) Loss 1.8765 (1.8707) Prec@1 47.500 (51.061) Prec@5 80.625 (80.862) Epoch: [60][3180/11272] Time 0.708 (0.805) Data 0.003 (0.003) Loss 1.7034 (1.8703) Prec@1 53.750 (51.067) Prec@5 83.125 (80.870) Epoch: [60][3190/11272] Time 0.788 (0.805) Data 0.002 (0.003) Loss 1.8865 (1.8703) Prec@1 47.500 (51.071) Prec@5 83.125 (80.874) Epoch: [60][3200/11272] Time 0.832 (0.805) Data 0.001 (0.003) Loss 1.7383 (1.8700) Prec@1 53.125 (51.078) Prec@5 86.250 (80.878) Epoch: [60][3210/11272] Time 0.836 (0.805) Data 0.002 (0.003) Loss 1.8828 (1.8701) Prec@1 54.375 (51.075) Prec@5 82.500 (80.878) Epoch: [60][3220/11272] Time 0.742 (0.805) Data 0.002 (0.003) Loss 1.8265 (1.8702) Prec@1 56.250 (51.070) Prec@5 81.250 (80.879) Epoch: [60][3230/11272] Time 0.732 (0.805) Data 0.001 (0.003) Loss 1.9206 (1.8701) Prec@1 51.250 (51.076) Prec@5 79.375 (80.881) Epoch: [60][3240/11272] Time 0.845 (0.805) Data 0.001 (0.003) Loss 1.9397 (1.8699) Prec@1 49.375 (51.080) Prec@5 81.250 (80.884) Epoch: [60][3250/11272] Time 0.828 (0.805) Data 0.001 (0.003) Loss 1.7908 (1.8697) Prec@1 48.125 (51.087) Prec@5 85.625 (80.889) Epoch: [60][3260/11272] Time 0.736 (0.805) Data 0.002 (0.003) Loss 1.8399 (1.8698) Prec@1 58.125 (51.087) Prec@5 80.625 (80.884) Epoch: [60][3270/11272] Time 0.730 (0.805) Data 0.002 (0.003) Loss 1.7045 (1.8696) Prec@1 51.250 (51.089) Prec@5 81.875 (80.886) Epoch: [60][3280/11272] Time 0.872 (0.805) Data 0.002 (0.003) Loss 1.9389 (1.8695) Prec@1 43.750 (51.089) Prec@5 83.125 (80.891) Epoch: [60][3290/11272] Time 0.808 (0.805) Data 0.001 (0.003) Loss 1.8177 (1.8697) Prec@1 50.625 (51.085) Prec@5 84.375 (80.887) Epoch: [60][3300/11272] Time 0.736 (0.805) Data 0.002 (0.003) Loss 1.8707 (1.8697) Prec@1 48.750 (51.081) Prec@5 80.000 (80.887) Epoch: [60][3310/11272] Time 0.863 (0.805) Data 0.002 (0.003) Loss 1.8794 (1.8697) Prec@1 51.875 (51.079) Prec@5 78.125 (80.884) Epoch: [60][3320/11272] Time 0.899 (0.805) Data 0.002 (0.003) Loss 1.7916 (1.8695) Prec@1 47.500 (51.086) Prec@5 83.750 (80.888) Epoch: [60][3330/11272] Time 0.744 (0.805) Data 0.001 (0.003) Loss 1.9392 (1.8694) Prec@1 47.500 (51.086) Prec@5 83.125 (80.891) Epoch: [60][3340/11272] Time 0.732 (0.805) Data 0.002 (0.003) Loss 1.6908 (1.8693) Prec@1 56.875 (51.088) Prec@5 81.250 (80.892) Epoch: [60][3350/11272] Time 0.815 (0.805) Data 0.002 (0.003) Loss 1.7724 (1.8695) Prec@1 52.500 (51.085) Prec@5 83.125 (80.891) Epoch: [60][3360/11272] Time 0.847 (0.805) Data 0.002 (0.003) Loss 1.8209 (1.8694) Prec@1 52.500 (51.086) Prec@5 81.875 (80.892) Epoch: [60][3370/11272] Time 0.734 (0.805) Data 0.002 (0.003) Loss 1.9604 (1.8694) Prec@1 48.750 (51.087) Prec@5 80.000 (80.890) Epoch: [60][3380/11272] Time 0.744 (0.805) Data 0.002 (0.003) Loss 1.6040 (1.8693) Prec@1 54.375 (51.089) Prec@5 81.875 (80.885) Epoch: [60][3390/11272] Time 0.902 (0.805) Data 0.002 (0.003) Loss 1.8264 (1.8693) Prec@1 50.625 (51.091) Prec@5 83.125 (80.887) Epoch: [60][3400/11272] Time 0.846 (0.805) Data 0.002 (0.003) Loss 1.5668 (1.8693) Prec@1 56.875 (51.094) Prec@5 85.000 (80.884) Epoch: [60][3410/11272] Time 0.755 (0.805) Data 0.002 (0.003) Loss 1.7741 (1.8693) Prec@1 55.625 (51.094) Prec@5 83.750 (80.886) Epoch: [60][3420/11272] Time 0.706 (0.805) Data 0.001 (0.003) Loss 1.9314 (1.8695) Prec@1 46.250 (51.086) Prec@5 77.500 (80.885) Epoch: [60][3430/11272] Time 0.847 (0.805) Data 0.002 (0.003) Loss 1.6863 (1.8692) Prec@1 54.375 (51.091) Prec@5 80.000 (80.887) Epoch: [60][3440/11272] Time 0.739 (0.805) Data 0.003 (0.003) Loss 1.9856 (1.8693) Prec@1 48.750 (51.089) Prec@5 75.000 (80.885) Epoch: [60][3450/11272] Time 0.728 (0.805) Data 0.002 (0.003) Loss 1.7165 (1.8691) Prec@1 51.875 (51.092) Prec@5 84.375 (80.887) Epoch: [60][3460/11272] Time 0.856 (0.805) Data 0.001 (0.003) Loss 1.9320 (1.8690) Prec@1 46.250 (51.093) Prec@5 80.625 (80.889) Epoch: [60][3470/11272] Time 0.901 (0.805) Data 0.002 (0.002) Loss 1.6248 (1.8689) Prec@1 53.750 (51.094) Prec@5 87.500 (80.890) Epoch: [60][3480/11272] Time 0.713 (0.805) Data 0.001 (0.002) Loss 1.6146 (1.8687) Prec@1 55.625 (51.099) Prec@5 86.875 (80.889) Epoch: [60][3490/11272] Time 0.721 (0.805) Data 0.002 (0.002) Loss 1.9934 (1.8685) Prec@1 46.875 (51.103) Prec@5 76.875 (80.891) Epoch: [60][3500/11272] Time 0.858 (0.805) Data 0.001 (0.002) Loss 2.1260 (1.8686) Prec@1 46.875 (51.104) Prec@5 75.000 (80.888) Epoch: [60][3510/11272] Time 0.824 (0.805) Data 0.001 (0.002) Loss 1.6935 (1.8685) Prec@1 53.750 (51.104) Prec@5 84.375 (80.894) Epoch: [60][3520/11272] Time 0.728 (0.805) Data 0.002 (0.002) Loss 1.8487 (1.8683) Prec@1 49.375 (51.104) Prec@5 81.875 (80.898) Epoch: [60][3530/11272] Time 0.763 (0.805) Data 0.002 (0.002) Loss 2.1658 (1.8683) Prec@1 46.875 (51.105) Prec@5 79.375 (80.900) Epoch: [60][3540/11272] Time 0.888 (0.805) Data 0.002 (0.002) Loss 1.8308 (1.8681) Prec@1 46.875 (51.108) Prec@5 80.625 (80.903) Epoch: [60][3550/11272] Time 0.912 (0.805) Data 0.002 (0.002) Loss 2.0632 (1.8681) Prec@1 48.125 (51.107) Prec@5 77.500 (80.900) Epoch: [60][3560/11272] Time 0.737 (0.805) Data 0.001 (0.002) Loss 1.6782 (1.8681) Prec@1 56.250 (51.108) Prec@5 85.625 (80.900) Epoch: [60][3570/11272] Time 0.841 (0.805) Data 0.002 (0.002) Loss 1.7397 (1.8681) Prec@1 50.625 (51.106) Prec@5 85.000 (80.901) Epoch: [60][3580/11272] Time 0.849 (0.805) Data 0.001 (0.002) Loss 1.8410 (1.8678) Prec@1 49.375 (51.112) Prec@5 86.250 (80.907) Epoch: [60][3590/11272] Time 0.714 (0.805) Data 0.001 (0.002) Loss 1.7612 (1.8676) Prec@1 50.000 (51.116) Prec@5 83.750 (80.910) Epoch: [60][3600/11272] Time 0.748 (0.805) Data 0.003 (0.002) Loss 1.7801 (1.8674) Prec@1 53.125 (51.120) Prec@5 81.875 (80.914) Epoch: [60][3610/11272] Time 0.828 (0.805) Data 0.001 (0.002) Loss 1.8253 (1.8674) Prec@1 54.375 (51.124) Prec@5 80.625 (80.916) Epoch: [60][3620/11272] Time 0.850 (0.805) Data 0.001 (0.002) Loss 1.6298 (1.8671) Prec@1 56.250 (51.133) Prec@5 86.875 (80.919) Epoch: [60][3630/11272] Time 0.721 (0.805) Data 0.002 (0.002) Loss 1.8527 (1.8670) Prec@1 51.875 (51.134) Prec@5 82.500 (80.920) Epoch: [60][3640/11272] Time 0.748 (0.805) Data 0.001 (0.002) Loss 2.0354 (1.8671) Prec@1 43.750 (51.135) Prec@5 78.125 (80.920) Epoch: [60][3650/11272] Time 0.846 (0.805) Data 0.001 (0.002) Loss 1.8764 (1.8670) Prec@1 51.875 (51.136) Prec@5 81.875 (80.922) Epoch: [60][3660/11272] Time 0.817 (0.805) Data 0.002 (0.002) Loss 1.5819 (1.8668) Prec@1 56.875 (51.141) Prec@5 85.625 (80.927) Epoch: [60][3670/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 1.7237 (1.8666) Prec@1 51.875 (51.144) Prec@5 85.625 (80.928) Epoch: [60][3680/11272] Time 0.721 (0.804) Data 0.001 (0.002) Loss 1.9076 (1.8666) Prec@1 51.250 (51.144) Prec@5 79.375 (80.925) Epoch: [60][3690/11272] Time 0.841 (0.804) Data 0.002 (0.002) Loss 1.6735 (1.8665) Prec@1 56.875 (51.147) Prec@5 85.000 (80.926) Epoch: [60][3700/11272] Time 0.825 (0.804) Data 0.001 (0.002) Loss 1.7352 (1.8664) Prec@1 53.125 (51.148) Prec@5 81.875 (80.930) Epoch: [60][3710/11272] Time 0.734 (0.804) Data 0.002 (0.002) Loss 1.7466 (1.8664) Prec@1 56.250 (51.145) Prec@5 83.750 (80.930) Epoch: [60][3720/11272] Time 0.837 (0.804) Data 0.001 (0.002) Loss 2.0024 (1.8664) Prec@1 45.625 (51.143) Prec@5 77.500 (80.932) Epoch: [60][3730/11272] Time 0.832 (0.804) Data 0.001 (0.002) Loss 1.9149 (1.8663) Prec@1 53.750 (51.145) Prec@5 78.125 (80.934) Epoch: [60][3740/11272] Time 0.723 (0.804) Data 0.002 (0.002) Loss 1.6605 (1.8661) Prec@1 56.875 (51.150) Prec@5 83.750 (80.935) Epoch: [60][3750/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 1.8556 (1.8659) Prec@1 51.875 (51.154) Prec@5 80.625 (80.937) Epoch: [60][3760/11272] Time 0.865 (0.804) Data 0.001 (0.002) Loss 1.7671 (1.8659) Prec@1 55.000 (51.151) Prec@5 80.625 (80.938) Epoch: [60][3770/11272] Time 0.830 (0.804) Data 0.001 (0.002) Loss 1.6689 (1.8657) Prec@1 60.625 (51.156) Prec@5 85.000 (80.941) Epoch: [60][3780/11272] Time 0.718 (0.804) Data 0.001 (0.002) Loss 1.6152 (1.8654) Prec@1 60.000 (51.163) Prec@5 83.125 (80.945) Epoch: [60][3790/11272] Time 0.738 (0.804) Data 0.002 (0.002) Loss 2.0077 (1.8654) Prec@1 46.875 (51.165) Prec@5 77.500 (80.946) Epoch: [60][3800/11272] Time 0.835 (0.804) Data 0.001 (0.002) Loss 1.8824 (1.8653) Prec@1 49.375 (51.166) Prec@5 80.000 (80.951) Epoch: [60][3810/11272] Time 0.826 (0.804) Data 0.001 (0.002) Loss 1.6375 (1.8650) Prec@1 58.750 (51.174) Prec@5 83.750 (80.953) Epoch: [60][3820/11272] Time 0.814 (0.804) Data 0.002 (0.002) Loss 1.8453 (1.8651) Prec@1 53.750 (51.175) Prec@5 82.500 (80.952) Epoch: [60][3830/11272] Time 0.727 (0.804) Data 0.002 (0.002) Loss 1.7989 (1.8651) Prec@1 51.875 (51.177) Prec@5 83.750 (80.952) Epoch: [60][3840/11272] Time 0.843 (0.804) Data 0.001 (0.002) Loss 2.0281 (1.8653) Prec@1 48.750 (51.172) Prec@5 80.000 (80.948) Epoch: [60][3850/11272] Time 0.748 (0.804) Data 0.001 (0.002) Loss 1.8350 (1.8653) Prec@1 48.125 (51.173) Prec@5 84.375 (80.951) Epoch: [60][3860/11272] Time 0.736 (0.804) Data 0.001 (0.002) Loss 2.1001 (1.8652) Prec@1 46.875 (51.175) Prec@5 77.500 (80.953) Epoch: [60][3870/11272] Time 0.835 (0.804) Data 0.002 (0.002) Loss 1.8518 (1.8651) Prec@1 51.250 (51.175) Prec@5 81.875 (80.955) Epoch: [60][3880/11272] Time 0.873 (0.804) Data 0.002 (0.002) Loss 1.8431 (1.8650) Prec@1 48.125 (51.175) Prec@5 79.375 (80.957) Epoch: [60][3890/11272] Time 0.726 (0.804) Data 0.002 (0.002) Loss 2.0643 (1.8650) Prec@1 43.750 (51.174) Prec@5 76.250 (80.959) Epoch: [60][3900/11272] Time 0.727 (0.804) Data 0.002 (0.002) Loss 1.8861 (1.8650) Prec@1 55.625 (51.174) Prec@5 78.125 (80.958) Epoch: [60][3910/11272] Time 0.880 (0.804) Data 0.002 (0.002) Loss 1.7397 (1.8649) Prec@1 55.000 (51.175) Prec@5 80.625 (80.962) Epoch: [60][3920/11272] Time 0.830 (0.804) Data 0.001 (0.002) Loss 1.6986 (1.8647) Prec@1 59.375 (51.184) Prec@5 83.125 (80.965) Epoch: [60][3930/11272] Time 0.734 (0.804) Data 0.001 (0.002) Loss 1.8364 (1.8646) Prec@1 52.500 (51.188) Prec@5 80.625 (80.965) Epoch: [60][3940/11272] Time 0.740 (0.803) Data 0.002 (0.002) Loss 1.9746 (1.8645) Prec@1 48.750 (51.191) Prec@5 81.250 (80.968) Epoch: [60][3950/11272] Time 0.843 (0.803) Data 0.001 (0.002) Loss 1.8149 (1.8643) Prec@1 50.000 (51.195) Prec@5 83.750 (80.971) Epoch: [60][3960/11272] Time 0.839 (0.803) Data 0.002 (0.002) Loss 1.8139 (1.8644) Prec@1 53.750 (51.196) Prec@5 85.000 (80.970) Epoch: [60][3970/11272] Time 0.751 (0.803) Data 0.002 (0.002) Loss 1.9561 (1.8643) Prec@1 44.375 (51.193) Prec@5 84.375 (80.973) Epoch: [60][3980/11272] Time 0.854 (0.803) Data 0.001 (0.002) Loss 1.8548 (1.8641) Prec@1 50.625 (51.196) Prec@5 83.125 (80.979) Epoch: [60][3990/11272] Time 0.843 (0.803) Data 0.001 (0.002) Loss 1.8170 (1.8640) Prec@1 56.250 (51.198) Prec@5 81.250 (80.983) Epoch: [60][4000/11272] Time 0.725 (0.803) Data 0.001 (0.002) Loss 1.7824 (1.8639) Prec@1 50.625 (51.198) Prec@5 80.625 (80.986) Epoch: [60][4010/11272] Time 0.738 (0.803) Data 0.002 (0.002) Loss 1.9142 (1.8638) Prec@1 49.375 (51.200) Prec@5 81.250 (80.987) Epoch: [60][4020/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 2.0507 (1.8637) Prec@1 47.500 (51.201) Prec@5 77.500 (80.989) Epoch: [60][4030/11272] Time 0.825 (0.803) Data 0.001 (0.002) Loss 1.8500 (1.8637) Prec@1 46.875 (51.200) Prec@5 83.750 (80.988) Epoch: [60][4040/11272] Time 0.726 (0.803) Data 0.002 (0.002) Loss 1.8599 (1.8636) Prec@1 51.875 (51.199) Prec@5 80.000 (80.992) Epoch: [60][4050/11272] Time 0.771 (0.803) Data 0.002 (0.002) Loss 2.0172 (1.8636) Prec@1 45.000 (51.200) Prec@5 78.125 (80.993) Epoch: [60][4060/11272] Time 0.832 (0.803) Data 0.001 (0.002) Loss 1.8687 (1.8637) Prec@1 51.875 (51.198) Prec@5 76.250 (80.991) Epoch: [60][4070/11272] Time 0.846 (0.803) Data 0.001 (0.002) Loss 1.9901 (1.8637) Prec@1 46.250 (51.199) Prec@5 80.625 (80.992) Epoch: [60][4080/11272] Time 0.745 (0.803) Data 0.002 (0.002) Loss 1.9856 (1.8637) Prec@1 47.500 (51.201) Prec@5 76.250 (80.992) Epoch: [60][4090/11272] Time 0.740 (0.803) Data 0.002 (0.002) Loss 1.9599 (1.8638) Prec@1 48.125 (51.203) Prec@5 78.125 (80.991) Epoch: [60][4100/11272] Time 0.830 (0.803) Data 0.001 (0.002) Loss 1.6300 (1.8638) Prec@1 54.375 (51.200) Prec@5 86.250 (80.993) Epoch: [60][4110/11272] Time 0.728 (0.803) Data 0.003 (0.002) Loss 1.7189 (1.8638) Prec@1 58.750 (51.202) Prec@5 80.000 (80.991) Epoch: [60][4120/11272] Time 0.726 (0.803) Data 0.001 (0.002) Loss 1.9023 (1.8638) Prec@1 52.500 (51.203) Prec@5 78.125 (80.992) Epoch: [60][4130/11272] Time 0.840 (0.803) Data 0.002 (0.002) Loss 1.9724 (1.8637) Prec@1 45.625 (51.203) Prec@5 80.000 (80.993) Epoch: [60][4140/11272] Time 0.833 (0.803) Data 0.001 (0.002) Loss 1.6681 (1.8637) Prec@1 53.125 (51.203) Prec@5 85.000 (80.993) Epoch: [60][4150/11272] Time 0.729 (0.803) Data 0.001 (0.002) Loss 1.8480 (1.8638) Prec@1 56.250 (51.200) Prec@5 81.250 (80.992) Epoch: [60][4160/11272] Time 0.731 (0.803) Data 0.001 (0.002) Loss 1.6828 (1.8638) Prec@1 57.500 (51.203) Prec@5 83.125 (80.992) Epoch: [60][4170/11272] Time 0.827 (0.803) Data 0.001 (0.002) Loss 1.8466 (1.8639) Prec@1 49.375 (51.198) Prec@5 84.375 (80.992) Epoch: [60][4180/11272] Time 0.823 (0.803) Data 0.001 (0.002) Loss 1.7761 (1.8637) Prec@1 51.250 (51.201) Prec@5 82.500 (80.993) Epoch: [60][4190/11272] Time 0.734 (0.803) Data 0.002 (0.002) Loss 1.5301 (1.8637) Prec@1 58.750 (51.201) Prec@5 85.625 (80.994) Epoch: [60][4200/11272] Time 0.736 (0.803) Data 0.002 (0.002) Loss 1.8247 (1.8634) Prec@1 53.125 (51.208) Prec@5 84.375 (80.997) Epoch: [60][4210/11272] Time 0.844 (0.803) Data 0.002 (0.002) Loss 1.7759 (1.8633) Prec@1 51.875 (51.210) Prec@5 81.250 (80.999) Epoch: [60][4220/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 1.7982 (1.8632) Prec@1 50.000 (51.216) Prec@5 81.875 (81.002) Epoch: [60][4230/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 1.6674 (1.8632) Prec@1 56.875 (51.217) Prec@5 83.750 (81.004) Epoch: [60][4240/11272] Time 0.824 (0.802) Data 0.001 (0.002) Loss 1.7478 (1.8631) Prec@1 51.875 (51.217) Prec@5 85.000 (81.005) Epoch: [60][4250/11272] Time 0.818 (0.802) Data 0.001 (0.002) Loss 2.0642 (1.8630) Prec@1 50.625 (51.218) Prec@5 75.625 (81.008) Epoch: [60][4260/11272] Time 0.761 (0.802) Data 0.002 (0.002) Loss 1.9128 (1.8630) Prec@1 48.125 (51.212) Prec@5 78.750 (81.007) Epoch: [60][4270/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 1.7471 (1.8629) Prec@1 56.250 (51.217) Prec@5 84.375 (81.009) Epoch: [60][4280/11272] Time 0.857 (0.802) Data 0.002 (0.002) Loss 1.8696 (1.8628) Prec@1 48.125 (51.218) Prec@5 82.500 (81.011) Epoch: [60][4290/11272] Time 0.797 (0.802) Data 0.001 (0.002) Loss 1.7095 (1.8627) Prec@1 55.625 (51.219) Prec@5 82.500 (81.012) Epoch: [60][4300/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 1.7325 (1.8624) Prec@1 56.875 (51.226) Prec@5 80.000 (81.017) Epoch: [60][4310/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.7481 (1.8624) Prec@1 51.250 (51.222) Prec@5 82.500 (81.018) Epoch: [60][4320/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 1.7169 (1.8623) Prec@1 56.250 (51.222) Prec@5 84.375 (81.019) Epoch: [60][4330/11272] Time 0.832 (0.802) Data 0.001 (0.002) Loss 1.8090 (1.8624) Prec@1 56.250 (51.222) Prec@5 82.500 (81.019) Epoch: [60][4340/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 1.7930 (1.8624) Prec@1 50.625 (51.223) Prec@5 83.125 (81.018) Epoch: [60][4350/11272] Time 0.711 (0.802) Data 0.002 (0.002) Loss 1.5827 (1.8622) Prec@1 56.875 (51.228) Prec@5 84.375 (81.019) Epoch: [60][4360/11272] Time 0.869 (0.802) Data 0.002 (0.002) Loss 1.8349 (1.8621) Prec@1 51.250 (51.232) Prec@5 76.875 (81.021) Epoch: [60][4370/11272] Time 0.729 (0.802) Data 0.003 (0.002) Loss 1.9585 (1.8619) Prec@1 44.375 (51.234) Prec@5 81.250 (81.021) Epoch: [60][4380/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 2.0330 (1.8621) Prec@1 43.125 (51.231) Prec@5 76.875 (81.018) Epoch: [60][4390/11272] Time 0.836 (0.802) Data 0.001 (0.002) Loss 1.8125 (1.8622) Prec@1 55.000 (51.227) Prec@5 83.750 (81.015) Epoch: [60][4400/11272] Time 0.828 (0.802) Data 0.001 (0.002) Loss 1.9230 (1.8621) Prec@1 54.375 (51.231) Prec@5 81.875 (81.016) Epoch: [60][4410/11272] Time 0.713 (0.802) Data 0.001 (0.002) Loss 1.9543 (1.8622) Prec@1 50.000 (51.232) Prec@5 77.500 (81.016) Epoch: [60][4420/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 1.8148 (1.8621) Prec@1 50.625 (51.234) Prec@5 78.125 (81.017) Epoch: [60][4430/11272] Time 0.830 (0.802) Data 0.001 (0.002) Loss 1.8554 (1.8620) Prec@1 51.875 (51.236) Prec@5 78.750 (81.018) Epoch: [60][4440/11272] Time 0.835 (0.802) Data 0.002 (0.002) Loss 1.8117 (1.8621) Prec@1 51.875 (51.233) Prec@5 83.125 (81.019) Epoch: [60][4450/11272] Time 0.728 (0.802) Data 0.001 (0.002) Loss 1.9200 (1.8621) Prec@1 51.250 (51.237) Prec@5 80.000 (81.019) Epoch: [60][4460/11272] Time 0.743 (0.802) Data 0.002 (0.002) Loss 1.7358 (1.8619) Prec@1 58.125 (51.239) Prec@5 80.625 (81.021) Epoch: [60][4470/11272] Time 0.865 (0.802) Data 0.002 (0.002) Loss 1.7457 (1.8618) Prec@1 58.750 (51.243) Prec@5 82.500 (81.024) Epoch: [60][4480/11272] Time 0.836 (0.802) Data 0.002 (0.002) Loss 1.8855 (1.8618) Prec@1 52.500 (51.247) Prec@5 81.250 (81.024) Epoch: [60][4490/11272] Time 0.721 (0.802) Data 0.001 (0.002) Loss 1.8061 (1.8617) Prec@1 51.875 (51.247) Prec@5 82.500 (81.027) Epoch: [60][4500/11272] Time 0.803 (0.802) Data 0.002 (0.002) Loss 1.8822 (1.8616) Prec@1 51.875 (51.250) Prec@5 77.500 (81.029) Epoch: [60][4510/11272] Time 0.856 (0.802) Data 0.002 (0.002) Loss 1.7142 (1.8616) Prec@1 50.625 (51.249) Prec@5 87.500 (81.030) Epoch: [60][4520/11272] Time 0.733 (0.802) Data 0.001 (0.002) Loss 1.7978 (1.8615) Prec@1 55.625 (51.250) Prec@5 83.750 (81.031) Epoch: [60][4530/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 1.8956 (1.8615) Prec@1 53.125 (51.250) Prec@5 76.250 (81.029) Epoch: [60][4540/11272] Time 0.880 (0.802) Data 0.003 (0.002) Loss 1.9721 (1.8614) Prec@1 51.250 (51.253) Prec@5 78.125 (81.031) Epoch: [60][4550/11272] Time 0.853 (0.802) Data 0.001 (0.002) Loss 1.7271 (1.8612) Prec@1 50.625 (51.256) Prec@5 84.375 (81.033) Epoch: [60][4560/11272] Time 0.723 (0.802) Data 0.001 (0.002) Loss 1.5677 (1.8611) Prec@1 59.375 (51.258) Prec@5 87.500 (81.037) Epoch: [60][4570/11272] Time 0.721 (0.801) Data 0.001 (0.002) Loss 1.8155 (1.8611) Prec@1 57.500 (51.258) Prec@5 81.250 (81.037) Epoch: [60][4580/11272] Time 0.837 (0.801) Data 0.001 (0.002) Loss 1.8985 (1.8611) Prec@1 43.125 (51.259) Prec@5 78.750 (81.037) Epoch: [60][4590/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 2.2164 (1.8612) Prec@1 45.000 (51.257) Prec@5 75.000 (81.037) Epoch: [60][4600/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 2.0785 (1.8611) Prec@1 45.000 (51.255) Prec@5 78.125 (81.036) Epoch: [60][4610/11272] Time 0.723 (0.801) Data 0.002 (0.002) Loss 1.9941 (1.8611) Prec@1 48.125 (51.258) Prec@5 78.125 (81.036) Epoch: [60][4620/11272] Time 0.848 (0.801) Data 0.002 (0.002) Loss 1.8172 (1.8609) Prec@1 50.000 (51.261) Prec@5 83.750 (81.038) Epoch: [60][4630/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 1.9560 (1.8610) Prec@1 51.250 (51.260) Prec@5 75.000 (81.036) Epoch: [60][4640/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 1.7808 (1.8609) Prec@1 53.125 (51.264) Prec@5 82.500 (81.039) Epoch: [60][4650/11272] Time 0.893 (0.801) Data 0.001 (0.002) Loss 2.0143 (1.8608) Prec@1 44.375 (51.265) Prec@5 76.250 (81.043) Epoch: [60][4660/11272] Time 0.816 (0.801) Data 0.001 (0.002) Loss 1.9995 (1.8608) Prec@1 49.375 (51.264) Prec@5 76.875 (81.042) Epoch: [60][4670/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 1.8259 (1.8605) Prec@1 49.375 (51.269) Prec@5 84.375 (81.046) Epoch: [60][4680/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 1.8728 (1.8604) Prec@1 53.125 (51.272) Prec@5 78.750 (81.047) Epoch: [60][4690/11272] Time 0.842 (0.801) Data 0.001 (0.002) Loss 1.8096 (1.8603) Prec@1 49.375 (51.274) Prec@5 84.375 (81.048) Epoch: [60][4700/11272] Time 0.798 (0.801) Data 0.001 (0.002) Loss 1.7365 (1.8602) Prec@1 56.250 (51.278) Prec@5 84.375 (81.050) Epoch: [60][4710/11272] Time 0.728 (0.801) Data 0.001 (0.002) Loss 2.0173 (1.8602) Prec@1 46.875 (51.277) Prec@5 76.875 (81.049) Epoch: [60][4720/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 1.7999 (1.8600) Prec@1 51.875 (51.280) Prec@5 85.000 (81.053) Epoch: [60][4730/11272] Time 0.848 (0.801) Data 0.001 (0.002) Loss 1.7620 (1.8598) Prec@1 54.375 (51.282) Prec@5 80.625 (81.056) Epoch: [60][4740/11272] Time 0.837 (0.801) Data 0.001 (0.002) Loss 1.8234 (1.8595) Prec@1 50.000 (51.288) Prec@5 85.000 (81.063) Epoch: [60][4750/11272] Time 0.719 (0.801) Data 0.001 (0.002) Loss 1.9096 (1.8594) Prec@1 50.000 (51.293) Prec@5 81.875 (81.066) Epoch: [60][4760/11272] Time 0.726 (0.801) Data 0.001 (0.002) Loss 1.7997 (1.8594) Prec@1 55.000 (51.291) Prec@5 82.500 (81.066) Epoch: [60][4770/11272] Time 0.871 (0.801) Data 0.002 (0.002) Loss 1.8808 (1.8594) Prec@1 49.375 (51.293) Prec@5 75.625 (81.065) Epoch: [60][4780/11272] Time 0.708 (0.801) Data 0.001 (0.002) Loss 1.9722 (1.8594) Prec@1 45.625 (51.295) Prec@5 79.375 (81.063) Epoch: [60][4790/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.8806 (1.8594) Prec@1 53.750 (51.299) Prec@5 82.500 (81.064) Epoch: [60][4800/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.5658 (1.8593) Prec@1 58.750 (51.300) Prec@5 85.625 (81.066) Epoch: [60][4810/11272] Time 0.830 (0.801) Data 0.002 (0.002) Loss 1.8612 (1.8592) Prec@1 50.625 (51.304) Prec@5 79.375 (81.067) Epoch: [60][4820/11272] Time 0.729 (0.801) Data 0.002 (0.002) Loss 1.8824 (1.8590) Prec@1 54.375 (51.310) Prec@5 78.750 (81.068) Epoch: [60][4830/11272] Time 0.746 (0.801) Data 0.001 (0.002) Loss 2.0439 (1.8591) Prec@1 50.625 (51.310) Prec@5 77.500 (81.066) Epoch: [60][4840/11272] Time 0.823 (0.801) Data 0.001 (0.002) Loss 1.8015 (1.8590) Prec@1 53.125 (51.314) Prec@5 76.875 (81.064) Epoch: [60][4850/11272] Time 0.824 (0.801) Data 0.002 (0.002) Loss 1.7635 (1.8591) Prec@1 53.125 (51.311) Prec@5 83.750 (81.062) Epoch: [60][4860/11272] Time 0.731 (0.801) Data 0.002 (0.002) Loss 2.0242 (1.8591) Prec@1 48.125 (51.313) Prec@5 79.375 (81.059) Epoch: [60][4870/11272] Time 0.760 (0.801) Data 0.002 (0.002) Loss 1.5212 (1.8591) Prec@1 59.375 (51.316) Prec@5 85.625 (81.059) Epoch: [60][4880/11272] Time 0.829 (0.801) Data 0.001 (0.002) Loss 1.7611 (1.8591) Prec@1 55.625 (51.315) Prec@5 82.500 (81.060) Epoch: [60][4890/11272] Time 0.823 (0.801) Data 0.001 (0.002) Loss 1.7825 (1.8590) Prec@1 53.125 (51.313) Prec@5 82.500 (81.060) Epoch: [60][4900/11272] Time 0.722 (0.801) Data 0.002 (0.002) Loss 2.1827 (1.8591) Prec@1 46.875 (51.310) Prec@5 75.625 (81.061) Epoch: [60][4910/11272] Time 0.837 (0.801) Data 0.002 (0.002) Loss 2.0283 (1.8590) Prec@1 51.875 (51.314) Prec@5 78.125 (81.062) Epoch: [60][4920/11272] Time 0.827 (0.801) Data 0.001 (0.002) Loss 1.9357 (1.8588) Prec@1 48.125 (51.318) Prec@5 80.000 (81.066) Epoch: [60][4930/11272] Time 0.716 (0.801) Data 0.002 (0.002) Loss 1.6498 (1.8589) Prec@1 56.875 (51.315) Prec@5 85.000 (81.066) Epoch: [60][4940/11272] Time 0.732 (0.801) Data 0.002 (0.002) Loss 1.9078 (1.8589) Prec@1 52.500 (51.315) Prec@5 79.375 (81.066) Epoch: [60][4950/11272] Time 0.860 (0.801) Data 0.002 (0.002) Loss 1.5318 (1.8588) Prec@1 55.625 (51.322) Prec@5 88.125 (81.067) Epoch: [60][4960/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 1.7232 (1.8589) Prec@1 54.375 (51.323) Prec@5 85.000 (81.067) Epoch: [60][4970/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 1.6337 (1.8589) Prec@1 53.125 (51.323) Prec@5 86.250 (81.067) Epoch: [60][4980/11272] Time 0.748 (0.800) Data 0.001 (0.002) Loss 1.8673 (1.8590) Prec@1 52.500 (51.319) Prec@5 79.375 (81.064) Epoch: [60][4990/11272] Time 0.867 (0.800) Data 0.002 (0.002) Loss 1.7725 (1.8589) Prec@1 53.125 (51.324) Prec@5 85.000 (81.067) Epoch: [60][5000/11272] Time 0.876 (0.800) Data 0.001 (0.002) Loss 1.6817 (1.8588) Prec@1 51.875 (51.324) Prec@5 86.250 (81.070) Epoch: [60][5010/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 1.8037 (1.8588) Prec@1 52.500 (51.324) Prec@5 81.875 (81.070) Epoch: [60][5020/11272] Time 0.723 (0.800) Data 0.001 (0.002) Loss 1.8102 (1.8586) Prec@1 52.500 (51.326) Prec@5 83.125 (81.072) Epoch: [60][5030/11272] Time 0.837 (0.800) Data 0.001 (0.002) Loss 1.5049 (1.8584) Prec@1 59.375 (51.330) Prec@5 88.125 (81.077) Epoch: [60][5040/11272] Time 0.710 (0.800) Data 0.003 (0.002) Loss 1.9354 (1.8583) Prec@1 48.125 (51.336) Prec@5 81.875 (81.079) Epoch: [60][5050/11272] Time 0.732 (0.800) Data 0.002 (0.002) Loss 1.8943 (1.8581) Prec@1 45.625 (51.340) Prec@5 78.125 (81.081) Epoch: [60][5060/11272] Time 0.836 (0.800) Data 0.001 (0.002) Loss 1.6535 (1.8581) Prec@1 53.750 (51.341) Prec@5 86.875 (81.083) Epoch: [60][5070/11272] Time 0.819 (0.800) Data 0.002 (0.002) Loss 1.6947 (1.8580) Prec@1 53.750 (51.341) Prec@5 82.500 (81.081) Epoch: [60][5080/11272] Time 0.753 (0.800) Data 0.002 (0.002) Loss 1.6444 (1.8579) Prec@1 55.000 (51.345) Prec@5 86.875 (81.084) Epoch: [60][5090/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.7796 (1.8579) Prec@1 53.125 (51.344) Prec@5 82.500 (81.084) Epoch: [60][5100/11272] Time 0.866 (0.800) Data 0.002 (0.002) Loss 2.1103 (1.8578) Prec@1 49.375 (51.347) Prec@5 75.625 (81.086) Epoch: [60][5110/11272] Time 0.852 (0.800) Data 0.001 (0.002) Loss 1.8307 (1.8576) Prec@1 50.000 (51.349) Prec@5 80.625 (81.087) Epoch: [60][5120/11272] Time 0.721 (0.800) Data 0.002 (0.002) Loss 1.8895 (1.8576) Prec@1 52.500 (51.349) Prec@5 76.875 (81.086) Epoch: [60][5130/11272] Time 0.730 (0.800) Data 0.001 (0.002) Loss 1.7696 (1.8576) Prec@1 51.250 (51.349) Prec@5 81.250 (81.086) Epoch: [60][5140/11272] Time 0.823 (0.800) Data 0.001 (0.002) Loss 1.8468 (1.8576) Prec@1 53.125 (51.346) Prec@5 82.500 (81.086) Epoch: [60][5150/11272] Time 0.839 (0.800) Data 0.001 (0.002) Loss 1.9671 (1.8577) Prec@1 49.375 (51.345) Prec@5 79.375 (81.084) Epoch: [60][5160/11272] Time 0.725 (0.800) Data 0.002 (0.002) Loss 1.7907 (1.8576) Prec@1 52.500 (51.348) Prec@5 80.625 (81.086) Epoch: [60][5170/11272] Time 0.802 (0.800) Data 0.002 (0.002) Loss 1.8709 (1.8576) Prec@1 52.500 (51.348) Prec@5 80.625 (81.086) Epoch: [60][5180/11272] Time 0.921 (0.800) Data 0.002 (0.002) Loss 1.5679 (1.8575) Prec@1 60.000 (51.349) Prec@5 85.625 (81.086) Epoch: [60][5190/11272] Time 0.759 (0.800) Data 0.002 (0.002) Loss 2.0338 (1.8574) Prec@1 52.500 (51.351) Prec@5 77.500 (81.087) Epoch: [60][5200/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 1.9305 (1.8573) Prec@1 44.375 (51.348) Prec@5 80.000 (81.088) Epoch: [60][5210/11272] Time 0.844 (0.800) Data 0.001 (0.002) Loss 1.9492 (1.8572) Prec@1 52.500 (51.350) Prec@5 78.125 (81.089) Epoch: [60][5220/11272] Time 0.861 (0.800) Data 0.002 (0.002) Loss 1.7075 (1.8572) Prec@1 51.250 (51.349) Prec@5 85.000 (81.089) Epoch: [60][5230/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.7569 (1.8570) Prec@1 53.125 (51.350) Prec@5 81.250 (81.091) Epoch: [60][5240/11272] Time 0.761 (0.800) Data 0.002 (0.002) Loss 1.8848 (1.8572) Prec@1 51.250 (51.347) Prec@5 82.500 (81.090) Epoch: [60][5250/11272] Time 0.804 (0.800) Data 0.001 (0.002) Loss 1.6595 (1.8571) Prec@1 56.875 (51.348) Prec@5 85.000 (81.090) Epoch: [60][5260/11272] Time 0.817 (0.800) Data 0.001 (0.002) Loss 2.2233 (1.8572) Prec@1 43.750 (51.344) Prec@5 76.875 (81.089) Epoch: [60][5270/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.8891 (1.8572) Prec@1 53.125 (51.346) Prec@5 83.125 (81.092) Epoch: [60][5280/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.8861 (1.8571) Prec@1 48.125 (51.346) Prec@5 81.250 (81.095) Epoch: [60][5290/11272] Time 0.827 (0.800) Data 0.002 (0.002) Loss 1.8151 (1.8569) Prec@1 55.625 (51.351) Prec@5 81.250 (81.096) Epoch: [60][5300/11272] Time 0.732 (0.800) Data 0.003 (0.002) Loss 2.1313 (1.8568) Prec@1 45.000 (51.353) Prec@5 76.875 (81.100) Epoch: [60][5310/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 1.9816 (1.8568) Prec@1 50.625 (51.355) Prec@5 81.250 (81.100) Epoch: [60][5320/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.8045 (1.8566) Prec@1 51.875 (51.360) Prec@5 83.125 (81.102) Epoch: [60][5330/11272] Time 0.827 (0.800) Data 0.001 (0.002) Loss 2.1823 (1.8566) Prec@1 43.125 (51.362) Prec@5 73.750 (81.102) Epoch: [60][5340/11272] Time 0.728 (0.800) Data 0.001 (0.002) Loss 1.6136 (1.8565) Prec@1 60.000 (51.364) Prec@5 85.625 (81.102) Epoch: [60][5350/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.6927 (1.8565) Prec@1 56.250 (51.363) Prec@5 86.875 (81.103) Epoch: [60][5360/11272] Time 0.819 (0.800) Data 0.001 (0.002) Loss 2.0182 (1.8565) Prec@1 50.000 (51.365) Prec@5 81.250 (81.104) Epoch: [60][5370/11272] Time 0.814 (0.799) Data 0.001 (0.002) Loss 1.9157 (1.8566) Prec@1 47.500 (51.362) Prec@5 84.375 (81.106) Epoch: [60][5380/11272] Time 0.740 (0.799) Data 0.002 (0.002) Loss 1.8853 (1.8564) Prec@1 49.375 (51.364) Prec@5 78.750 (81.109) Epoch: [60][5390/11272] Time 0.726 (0.799) Data 0.002 (0.002) Loss 1.9555 (1.8565) Prec@1 50.625 (51.363) Prec@5 76.875 (81.108) Epoch: [60][5400/11272] Time 0.849 (0.799) Data 0.001 (0.002) Loss 1.9319 (1.8566) Prec@1 46.250 (51.361) Prec@5 79.375 (81.107) Epoch: [60][5410/11272] Time 0.912 (0.799) Data 0.002 (0.002) Loss 1.7185 (1.8565) Prec@1 52.500 (51.362) Prec@5 82.500 (81.106) Epoch: [60][5420/11272] Time 0.738 (0.799) Data 0.001 (0.002) Loss 1.7673 (1.8564) Prec@1 53.125 (51.364) Prec@5 79.375 (81.106) Epoch: [60][5430/11272] Time 0.836 (0.799) Data 0.002 (0.002) Loss 1.7623 (1.8565) Prec@1 51.250 (51.361) Prec@5 83.125 (81.105) Epoch: [60][5440/11272] Time 0.885 (0.799) Data 0.002 (0.002) Loss 1.7105 (1.8563) Prec@1 55.000 (51.363) Prec@5 83.125 (81.107) Epoch: [60][5450/11272] Time 0.724 (0.799) Data 0.001 (0.002) Loss 1.9608 (1.8565) Prec@1 53.125 (51.361) Prec@5 78.750 (81.103) Epoch: [60][5460/11272] Time 0.718 (0.799) Data 0.001 (0.002) Loss 1.6068 (1.8565) Prec@1 51.250 (51.359) Prec@5 88.750 (81.104) Epoch: [60][5470/11272] Time 0.884 (0.799) Data 0.002 (0.002) Loss 2.0255 (1.8567) Prec@1 43.750 (51.355) Prec@5 78.125 (81.101) Epoch: [60][5480/11272] Time 0.826 (0.799) Data 0.001 (0.002) Loss 1.9498 (1.8566) Prec@1 49.375 (51.355) Prec@5 81.250 (81.104) Epoch: [60][5490/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 1.9259 (1.8566) Prec@1 52.500 (51.354) Prec@5 78.125 (81.102) Epoch: [60][5500/11272] Time 0.738 (0.799) Data 0.002 (0.002) Loss 1.8490 (1.8567) Prec@1 51.875 (51.352) Prec@5 79.375 (81.100) Epoch: [60][5510/11272] Time 0.868 (0.799) Data 0.002 (0.002) Loss 1.8493 (1.8567) Prec@1 48.750 (51.350) Prec@5 78.750 (81.097) Epoch: [60][5520/11272] Time 0.856 (0.799) Data 0.002 (0.002) Loss 1.9538 (1.8566) Prec@1 53.750 (51.352) Prec@5 78.750 (81.097) Epoch: [60][5530/11272] Time 0.760 (0.799) Data 0.002 (0.002) Loss 1.6969 (1.8567) Prec@1 53.750 (51.350) Prec@5 86.875 (81.096) Epoch: [60][5540/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 1.9834 (1.8566) Prec@1 41.875 (51.350) Prec@5 78.750 (81.099) Epoch: [60][5550/11272] Time 0.851 (0.799) Data 0.002 (0.002) Loss 1.7491 (1.8564) Prec@1 52.500 (51.351) Prec@5 85.000 (81.103) Epoch: [60][5560/11272] Time 0.863 (0.799) Data 0.001 (0.002) Loss 1.6816 (1.8563) Prec@1 58.125 (51.353) Prec@5 81.875 (81.105) Epoch: [60][5570/11272] Time 0.731 (0.799) Data 0.001 (0.002) Loss 1.7794 (1.8562) Prec@1 52.500 (51.352) Prec@5 83.125 (81.106) Epoch: [60][5580/11272] Time 0.819 (0.799) Data 0.002 (0.002) Loss 1.6936 (1.8562) Prec@1 57.500 (51.355) Prec@5 81.875 (81.107) Epoch: [60][5590/11272] Time 0.845 (0.799) Data 0.002 (0.002) Loss 1.7618 (1.8562) Prec@1 56.250 (51.356) Prec@5 84.375 (81.106) Epoch: [60][5600/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 1.6803 (1.8561) Prec@1 58.750 (51.358) Prec@5 85.625 (81.105) Epoch: [60][5610/11272] Time 0.739 (0.799) Data 0.002 (0.002) Loss 2.0068 (1.8562) Prec@1 48.125 (51.359) Prec@5 76.250 (81.105) Epoch: [60][5620/11272] Time 0.842 (0.799) Data 0.001 (0.002) Loss 1.8660 (1.8560) Prec@1 50.625 (51.362) Prec@5 83.125 (81.108) Epoch: [60][5630/11272] Time 0.843 (0.799) Data 0.001 (0.002) Loss 1.8337 (1.8559) Prec@1 51.250 (51.365) Prec@5 80.000 (81.108) Epoch: [60][5640/11272] Time 0.740 (0.799) Data 0.002 (0.002) Loss 1.7496 (1.8559) Prec@1 53.125 (51.364) Prec@5 85.000 (81.111) Epoch: [60][5650/11272] Time 0.725 (0.799) Data 0.001 (0.002) Loss 1.8892 (1.8556) Prec@1 50.625 (51.366) Prec@5 79.375 (81.113) Epoch: [60][5660/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.8962 (1.8555) Prec@1 46.250 (51.366) Prec@5 80.000 (81.115) Epoch: [60][5670/11272] Time 0.799 (0.799) Data 0.001 (0.002) Loss 1.7705 (1.8555) Prec@1 55.000 (51.366) Prec@5 82.500 (81.116) Epoch: [60][5680/11272] Time 0.720 (0.799) Data 0.002 (0.002) Loss 1.7780 (1.8555) Prec@1 50.625 (51.367) Prec@5 82.500 (81.116) Epoch: [60][5690/11272] Time 0.721 (0.799) Data 0.002 (0.002) Loss 1.8806 (1.8555) Prec@1 51.250 (51.367) Prec@5 81.250 (81.116) Epoch: [60][5700/11272] Time 0.827 (0.799) Data 0.001 (0.002) Loss 1.8700 (1.8554) Prec@1 50.000 (51.367) Prec@5 76.875 (81.116) Epoch: [60][5710/11272] Time 0.742 (0.799) Data 0.001 (0.002) Loss 1.6545 (1.8553) Prec@1 55.000 (51.369) Prec@5 84.375 (81.118) Epoch: [60][5720/11272] Time 0.753 (0.799) Data 0.001 (0.002) Loss 1.8612 (1.8552) Prec@1 43.750 (51.368) Prec@5 84.375 (81.120) Epoch: [60][5730/11272] Time 0.840 (0.799) Data 0.002 (0.002) Loss 1.8664 (1.8551) Prec@1 54.375 (51.373) Prec@5 80.625 (81.122) Epoch: [60][5740/11272] Time 0.797 (0.799) Data 0.001 (0.002) Loss 2.0051 (1.8551) Prec@1 46.875 (51.374) Prec@5 75.625 (81.121) Epoch: [60][5750/11272] Time 0.719 (0.799) Data 0.002 (0.002) Loss 1.7833 (1.8551) Prec@1 51.250 (51.370) Prec@5 85.000 (81.122) Epoch: [60][5760/11272] Time 0.745 (0.799) Data 0.002 (0.002) Loss 1.7547 (1.8551) Prec@1 55.000 (51.373) Prec@5 82.500 (81.122) Epoch: [60][5770/11272] Time 0.842 (0.799) Data 0.002 (0.002) Loss 1.6820 (1.8550) Prec@1 56.250 (51.373) Prec@5 83.750 (81.124) Epoch: [60][5780/11272] Time 0.818 (0.799) Data 0.002 (0.002) Loss 1.6984 (1.8549) Prec@1 53.750 (51.373) Prec@5 83.125 (81.125) Epoch: [60][5790/11272] Time 0.722 (0.799) Data 0.001 (0.002) Loss 1.8645 (1.8550) Prec@1 45.000 (51.370) Prec@5 80.625 (81.122) Epoch: [60][5800/11272] Time 0.742 (0.799) Data 0.002 (0.002) Loss 1.7905 (1.8550) Prec@1 54.375 (51.372) Prec@5 83.750 (81.123) Epoch: [60][5810/11272] Time 0.847 (0.799) Data 0.002 (0.002) Loss 1.9172 (1.8549) Prec@1 50.625 (51.374) Prec@5 79.375 (81.124) Epoch: [60][5820/11272] Time 0.841 (0.799) Data 0.001 (0.002) Loss 1.6096 (1.8549) Prec@1 59.375 (51.373) Prec@5 85.000 (81.123) Epoch: [60][5830/11272] Time 0.719 (0.799) Data 0.002 (0.002) Loss 1.6592 (1.8547) Prec@1 61.875 (51.379) Prec@5 83.125 (81.125) Epoch: [60][5840/11272] Time 0.816 (0.799) Data 0.002 (0.002) Loss 1.9147 (1.8547) Prec@1 50.000 (51.382) Prec@5 80.625 (81.127) Epoch: [60][5850/11272] Time 0.809 (0.799) Data 0.002 (0.002) Loss 2.0794 (1.8546) Prec@1 46.250 (51.382) Prec@5 76.250 (81.127) Epoch: [60][5860/11272] Time 0.734 (0.799) Data 0.001 (0.002) Loss 1.8961 (1.8545) Prec@1 48.750 (51.384) Prec@5 79.375 (81.131) Epoch: [60][5870/11272] Time 0.751 (0.799) Data 0.002 (0.002) Loss 1.9164 (1.8545) Prec@1 51.250 (51.387) Prec@5 78.125 (81.132) Epoch: [60][5880/11272] Time 0.851 (0.799) Data 0.001 (0.002) Loss 2.0253 (1.8545) Prec@1 48.125 (51.388) Prec@5 80.625 (81.134) Epoch: [60][5890/11272] Time 0.883 (0.799) Data 0.001 (0.002) Loss 1.5307 (1.8544) Prec@1 60.000 (51.390) Prec@5 86.875 (81.137) Epoch: [60][5900/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 1.7392 (1.8543) Prec@1 50.625 (51.392) Prec@5 83.750 (81.137) Epoch: [60][5910/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.8102 (1.8542) Prec@1 55.000 (51.395) Prec@5 80.000 (81.138) Epoch: [60][5920/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 1.7068 (1.8543) Prec@1 53.125 (51.392) Prec@5 87.500 (81.137) Epoch: [60][5930/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 1.7302 (1.8542) Prec@1 53.750 (51.388) Prec@5 83.125 (81.139) Epoch: [60][5940/11272] Time 0.718 (0.798) Data 0.001 (0.002) Loss 1.8442 (1.8543) Prec@1 51.875 (51.387) Prec@5 80.625 (81.138) Epoch: [60][5950/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.7031 (1.8543) Prec@1 56.875 (51.385) Prec@5 81.250 (81.138) Epoch: [60][5960/11272] Time 0.846 (0.798) Data 0.002 (0.002) Loss 2.0856 (1.8543) Prec@1 46.250 (51.385) Prec@5 76.875 (81.136) Epoch: [60][5970/11272] Time 0.722 (0.798) Data 0.003 (0.002) Loss 2.0598 (1.8542) Prec@1 45.000 (51.385) Prec@5 76.875 (81.137) Epoch: [60][5980/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 1.7504 (1.8541) Prec@1 56.250 (51.387) Prec@5 81.250 (81.138) Epoch: [60][5990/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.9065 (1.8540) Prec@1 51.875 (51.388) Prec@5 79.375 (81.139) Epoch: [60][6000/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 2.0641 (1.8539) Prec@1 45.625 (51.385) Prec@5 74.375 (81.140) Epoch: [60][6010/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 1.8032 (1.8538) Prec@1 50.625 (51.384) Prec@5 80.000 (81.141) Epoch: [60][6020/11272] Time 0.743 (0.798) Data 0.001 (0.002) Loss 1.7973 (1.8538) Prec@1 56.875 (51.387) Prec@5 80.625 (81.140) Epoch: [60][6030/11272] Time 0.828 (0.798) Data 0.002 (0.002) Loss 1.8612 (1.8539) Prec@1 53.125 (51.385) Prec@5 80.000 (81.138) Epoch: [60][6040/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 2.0779 (1.8539) Prec@1 46.875 (51.386) Prec@5 76.875 (81.140) Epoch: [60][6050/11272] Time 0.724 (0.798) Data 0.001 (0.002) Loss 2.0573 (1.8539) Prec@1 48.125 (51.386) Prec@5 78.125 (81.139) Epoch: [60][6060/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 1.8475 (1.8539) Prec@1 56.250 (51.387) Prec@5 80.000 (81.137) Epoch: [60][6070/11272] Time 0.859 (0.798) Data 0.001 (0.002) Loss 1.7281 (1.8538) Prec@1 52.500 (51.389) Prec@5 87.500 (81.136) Epoch: [60][6080/11272] Time 0.821 (0.798) Data 0.001 (0.002) Loss 1.9662 (1.8540) Prec@1 48.125 (51.387) Prec@5 80.000 (81.135) Epoch: [60][6090/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 2.0375 (1.8540) Prec@1 48.750 (51.387) Prec@5 74.375 (81.134) Epoch: [60][6100/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 1.7517 (1.8539) Prec@1 51.875 (51.390) Prec@5 80.625 (81.135) Epoch: [60][6110/11272] Time 0.842 (0.798) Data 0.002 (0.002) Loss 2.0645 (1.8539) Prec@1 45.625 (51.392) Prec@5 75.625 (81.134) Epoch: [60][6120/11272] Time 0.742 (0.798) Data 0.001 (0.002) Loss 1.6484 (1.8537) Prec@1 56.250 (51.395) Prec@5 84.375 (81.139) Epoch: [60][6130/11272] Time 0.746 (0.798) Data 0.001 (0.002) Loss 1.7510 (1.8538) Prec@1 50.000 (51.390) Prec@5 83.750 (81.137) Epoch: [60][6140/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 2.0216 (1.8538) Prec@1 45.625 (51.389) Prec@5 76.250 (81.137) Epoch: [60][6150/11272] Time 0.829 (0.798) Data 0.001 (0.002) Loss 1.9989 (1.8537) Prec@1 51.875 (51.389) Prec@5 79.375 (81.137) Epoch: [60][6160/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.4959 (1.8537) Prec@1 58.125 (51.390) Prec@5 86.250 (81.138) Epoch: [60][6170/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 1.6824 (1.8536) Prec@1 60.000 (51.393) Prec@5 86.875 (81.140) Epoch: [60][6180/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 1.6809 (1.8537) Prec@1 55.000 (51.392) Prec@5 87.500 (81.141) Epoch: [60][6190/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.9692 (1.8536) Prec@1 45.000 (51.394) Prec@5 78.125 (81.140) Epoch: [60][6200/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.8239 (1.8536) Prec@1 50.625 (51.397) Prec@5 83.125 (81.140) Epoch: [60][6210/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 1.7913 (1.8535) Prec@1 52.500 (51.396) Prec@5 76.875 (81.140) Epoch: [60][6220/11272] Time 0.826 (0.798) Data 0.002 (0.002) Loss 1.8072 (1.8535) Prec@1 48.750 (51.396) Prec@5 78.750 (81.140) Epoch: [60][6230/11272] Time 0.730 (0.798) Data 0.003 (0.002) Loss 2.0817 (1.8535) Prec@1 40.625 (51.397) Prec@5 78.125 (81.140) Epoch: [60][6240/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.7574 (1.8535) Prec@1 55.625 (51.398) Prec@5 81.875 (81.140) Epoch: [60][6250/11272] Time 0.879 (0.798) Data 0.001 (0.002) Loss 1.6867 (1.8534) Prec@1 55.625 (51.397) Prec@5 81.875 (81.144) Epoch: [60][6260/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.8536 (1.8533) Prec@1 47.500 (51.398) Prec@5 85.000 (81.145) Epoch: [60][6270/11272] Time 0.739 (0.798) Data 0.002 (0.002) Loss 1.9097 (1.8534) Prec@1 49.375 (51.398) Prec@5 80.000 (81.144) Epoch: [60][6280/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.9554 (1.8534) Prec@1 50.625 (51.398) Prec@5 79.375 (81.145) Epoch: [60][6290/11272] Time 0.802 (0.798) Data 0.001 (0.002) Loss 1.7488 (1.8533) Prec@1 51.875 (51.397) Prec@5 85.000 (81.148) Epoch: [60][6300/11272] Time 0.822 (0.798) Data 0.002 (0.002) Loss 1.6692 (1.8532) Prec@1 55.625 (51.401) Prec@5 83.125 (81.147) Epoch: [60][6310/11272] Time 0.764 (0.798) Data 0.002 (0.002) Loss 1.7375 (1.8531) Prec@1 61.250 (51.405) Prec@5 81.875 (81.149) Epoch: [60][6320/11272] Time 0.729 (0.798) Data 0.002 (0.002) Loss 1.6480 (1.8530) Prec@1 55.000 (51.407) Prec@5 85.625 (81.150) Epoch: [60][6330/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 1.6757 (1.8529) Prec@1 56.250 (51.409) Prec@5 83.750 (81.151) Epoch: [60][6340/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 1.9979 (1.8528) Prec@1 52.500 (51.410) Prec@5 76.250 (81.152) Epoch: [60][6350/11272] Time 0.703 (0.798) Data 0.001 (0.002) Loss 1.9705 (1.8528) Prec@1 48.750 (51.411) Prec@5 76.875 (81.151) Epoch: [60][6360/11272] Time 0.805 (0.798) Data 0.002 (0.002) Loss 1.8525 (1.8527) Prec@1 48.750 (51.413) Prec@5 80.625 (81.153) Epoch: [60][6370/11272] Time 0.826 (0.798) Data 0.001 (0.002) Loss 1.7927 (1.8528) Prec@1 53.750 (51.409) Prec@5 80.000 (81.151) Epoch: [60][6380/11272] Time 0.767 (0.798) Data 0.002 (0.002) Loss 1.7891 (1.8527) Prec@1 56.875 (51.412) Prec@5 82.500 (81.153) Epoch: [60][6390/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.8314 (1.8528) Prec@1 51.875 (51.411) Prec@5 83.750 (81.150) Epoch: [60][6400/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.8352 (1.8527) Prec@1 53.750 (51.412) Prec@5 81.875 (81.152) Epoch: [60][6410/11272] Time 0.831 (0.798) Data 0.001 (0.002) Loss 1.8690 (1.8526) Prec@1 55.625 (51.415) Prec@5 79.375 (81.154) Epoch: [60][6420/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 1.9022 (1.8525) Prec@1 55.000 (51.417) Prec@5 79.375 (81.155) Epoch: [60][6430/11272] Time 0.726 (0.798) Data 0.002 (0.002) Loss 1.7852 (1.8526) Prec@1 47.500 (51.414) Prec@5 82.500 (81.154) Epoch: [60][6440/11272] Time 0.877 (0.798) Data 0.001 (0.002) Loss 2.0935 (1.8526) Prec@1 46.875 (51.414) Prec@5 77.500 (81.154) Epoch: [60][6450/11272] Time 0.829 (0.798) Data 0.002 (0.002) Loss 1.5250 (1.8525) Prec@1 64.375 (51.417) Prec@5 86.250 (81.157) Epoch: [60][6460/11272] Time 0.769 (0.798) Data 0.002 (0.002) Loss 1.8632 (1.8525) Prec@1 52.500 (51.418) Prec@5 80.000 (81.157) Epoch: [60][6470/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.7849 (1.8525) Prec@1 53.125 (51.415) Prec@5 80.625 (81.158) Epoch: [60][6480/11272] Time 0.822 (0.798) Data 0.002 (0.002) Loss 1.7999 (1.8524) Prec@1 52.500 (51.418) Prec@5 80.000 (81.160) Epoch: [60][6490/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 1.8861 (1.8523) Prec@1 55.000 (51.421) Prec@5 81.875 (81.164) Epoch: [60][6500/11272] Time 0.725 (0.798) Data 0.001 (0.002) Loss 1.9185 (1.8522) Prec@1 50.625 (51.426) Prec@5 81.250 (81.167) Epoch: [60][6510/11272] Time 0.867 (0.798) Data 0.002 (0.002) Loss 2.1076 (1.8521) Prec@1 50.625 (51.428) Prec@5 75.000 (81.166) Epoch: [60][6520/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 1.9196 (1.8522) Prec@1 50.000 (51.427) Prec@5 78.750 (81.166) Epoch: [60][6530/11272] Time 0.728 (0.798) Data 0.001 (0.002) Loss 2.0205 (1.8521) Prec@1 51.250 (51.429) Prec@5 79.375 (81.167) Epoch: [60][6540/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 1.9380 (1.8520) Prec@1 50.625 (51.432) Prec@5 75.000 (81.169) Epoch: [60][6550/11272] Time 0.795 (0.797) Data 0.001 (0.002) Loss 1.6015 (1.8519) Prec@1 58.750 (51.435) Prec@5 84.375 (81.172) Epoch: [60][6560/11272] Time 0.829 (0.797) Data 0.002 (0.002) Loss 1.6159 (1.8519) Prec@1 55.000 (51.436) Prec@5 83.750 (81.169) Epoch: [60][6570/11272] Time 0.741 (0.797) Data 0.002 (0.002) Loss 1.6165 (1.8518) Prec@1 57.500 (51.437) Prec@5 84.375 (81.170) Epoch: [60][6580/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.4873 (1.8516) Prec@1 59.375 (51.439) Prec@5 86.250 (81.172) Epoch: [60][6590/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 1.7196 (1.8516) Prec@1 53.125 (51.438) Prec@5 83.750 (81.170) Epoch: [60][6600/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.7693 (1.8516) Prec@1 52.500 (51.439) Prec@5 81.875 (81.170) Epoch: [60][6610/11272] Time 0.753 (0.797) Data 0.002 (0.002) Loss 1.7287 (1.8516) Prec@1 54.375 (51.441) Prec@5 83.125 (81.172) Epoch: [60][6620/11272] Time 0.722 (0.797) Data 0.002 (0.002) Loss 1.8588 (1.8515) Prec@1 50.000 (51.441) Prec@5 76.250 (81.171) Epoch: [60][6630/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.8256 (1.8515) Prec@1 50.000 (51.442) Prec@5 83.125 (81.171) Epoch: [60][6640/11272] Time 0.739 (0.797) Data 0.001 (0.002) Loss 1.9441 (1.8515) Prec@1 49.375 (51.443) Prec@5 82.500 (81.171) Epoch: [60][6650/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.9651 (1.8515) Prec@1 50.000 (51.442) Prec@5 76.250 (81.171) Epoch: [60][6660/11272] Time 0.835 (0.797) Data 0.002 (0.002) Loss 2.0283 (1.8514) Prec@1 49.375 (51.444) Prec@5 79.375 (81.172) Epoch: [60][6670/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 2.0941 (1.8513) Prec@1 44.375 (51.444) Prec@5 76.875 (81.173) Epoch: [60][6680/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.7867 (1.8512) Prec@1 51.250 (51.447) Prec@5 79.375 (81.175) Epoch: [60][6690/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.6974 (1.8511) Prec@1 52.500 (51.448) Prec@5 83.750 (81.177) Epoch: [60][6700/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 1.5240 (1.8511) Prec@1 57.500 (51.445) Prec@5 85.000 (81.178) Epoch: [60][6710/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 1.8337 (1.8511) Prec@1 50.000 (51.446) Prec@5 81.875 (81.179) Epoch: [60][6720/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 1.7191 (1.8511) Prec@1 53.125 (51.446) Prec@5 83.750 (81.178) Epoch: [60][6730/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.8236 (1.8511) Prec@1 51.250 (51.445) Prec@5 82.500 (81.179) Epoch: [60][6740/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 1.6966 (1.8511) Prec@1 51.875 (51.443) Prec@5 84.375 (81.177) Epoch: [60][6750/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.6650 (1.8511) Prec@1 63.125 (51.447) Prec@5 84.375 (81.179) Epoch: [60][6760/11272] Time 0.717 (0.797) Data 0.002 (0.002) Loss 1.7957 (1.8511) Prec@1 53.750 (51.447) Prec@5 83.125 (81.179) Epoch: [60][6770/11272] Time 0.794 (0.797) Data 0.002 (0.002) Loss 1.7939 (1.8510) Prec@1 50.000 (51.448) Prec@5 82.500 (81.180) Epoch: [60][6780/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 1.5692 (1.8509) Prec@1 59.375 (51.450) Prec@5 83.125 (81.181) Epoch: [60][6790/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 1.8933 (1.8509) Prec@1 51.250 (51.448) Prec@5 81.250 (81.180) Epoch: [60][6800/11272] Time 0.738 (0.797) Data 0.002 (0.002) Loss 1.8018 (1.8509) Prec@1 54.375 (51.449) Prec@5 80.000 (81.180) Epoch: [60][6810/11272] Time 0.830 (0.797) Data 0.001 (0.002) Loss 1.9745 (1.8510) Prec@1 44.375 (51.448) Prec@5 78.125 (81.180) Epoch: [60][6820/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.9383 (1.8510) Prec@1 46.875 (51.448) Prec@5 78.750 (81.178) Epoch: [60][6830/11272] Time 0.764 (0.797) Data 0.002 (0.002) Loss 1.8426 (1.8509) Prec@1 51.250 (51.449) Prec@5 84.375 (81.179) Epoch: [60][6840/11272] Time 0.723 (0.797) Data 0.001 (0.002) Loss 1.6852 (1.8509) Prec@1 58.125 (51.450) Prec@5 80.000 (81.180) Epoch: [60][6850/11272] Time 0.817 (0.797) Data 0.001 (0.002) Loss 1.6575 (1.8508) Prec@1 55.625 (51.454) Prec@5 85.625 (81.182) Epoch: [60][6860/11272] Time 0.861 (0.797) Data 0.001 (0.002) Loss 1.7690 (1.8507) Prec@1 52.500 (51.456) Prec@5 83.125 (81.182) Epoch: [60][6870/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.5955 (1.8506) Prec@1 59.375 (51.458) Prec@5 83.125 (81.184) Epoch: [60][6880/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 1.9566 (1.8505) Prec@1 50.000 (51.461) Prec@5 77.500 (81.186) Epoch: [60][6890/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.9466 (1.8504) Prec@1 49.375 (51.464) Prec@5 80.000 (81.187) Epoch: [60][6900/11272] Time 0.778 (0.797) Data 0.004 (0.002) Loss 1.8783 (1.8504) Prec@1 49.375 (51.466) Prec@5 84.375 (81.187) Epoch: [60][6910/11272] Time 0.704 (0.797) Data 0.001 (0.002) Loss 1.7993 (1.8504) Prec@1 53.125 (51.466) Prec@5 80.000 (81.186) Epoch: [60][6920/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.8515 (1.8505) Prec@1 51.250 (51.466) Prec@5 79.375 (81.187) Epoch: [60][6930/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 1.8637 (1.8505) Prec@1 48.750 (51.468) Prec@5 77.500 (81.186) Epoch: [60][6940/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.8290 (1.8505) Prec@1 53.125 (51.466) Prec@5 83.125 (81.186) Epoch: [60][6950/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8541 (1.8505) Prec@1 48.125 (51.463) Prec@5 80.625 (81.186) Epoch: [60][6960/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.8420 (1.8505) Prec@1 46.875 (51.464) Prec@5 83.750 (81.188) Epoch: [60][6970/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 1.6674 (1.8504) Prec@1 52.500 (51.464) Prec@5 83.125 (81.187) Epoch: [60][6980/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.7747 (1.8503) Prec@1 55.625 (51.465) Prec@5 83.125 (81.189) Epoch: [60][6990/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.7894 (1.8503) Prec@1 55.625 (51.468) Prec@5 81.250 (81.191) Epoch: [60][7000/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 1.9141 (1.8503) Prec@1 48.750 (51.468) Prec@5 80.625 (81.190) Epoch: [60][7010/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 1.7921 (1.8502) Prec@1 51.875 (51.468) Prec@5 81.250 (81.190) Epoch: [60][7020/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.8367 (1.8503) Prec@1 53.125 (51.466) Prec@5 80.625 (81.189) Epoch: [60][7030/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 1.7056 (1.8502) Prec@1 56.875 (51.465) Prec@5 81.875 (81.191) Epoch: [60][7040/11272] Time 0.828 (0.797) Data 0.001 (0.002) Loss 1.7463 (1.8501) Prec@1 50.625 (51.467) Prec@5 81.875 (81.193) Epoch: [60][7050/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 1.7246 (1.8501) Prec@1 55.000 (51.466) Prec@5 81.875 (81.192) Epoch: [60][7060/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.7416 (1.8501) Prec@1 51.250 (51.467) Prec@5 83.750 (81.193) Epoch: [60][7070/11272] Time 0.856 (0.797) Data 0.001 (0.002) Loss 1.8046 (1.8501) Prec@1 52.500 (51.469) Prec@5 81.875 (81.192) Epoch: [60][7080/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.7582 (1.8499) Prec@1 53.125 (51.472) Prec@5 83.125 (81.195) Epoch: [60][7090/11272] Time 0.717 (0.797) Data 0.001 (0.002) Loss 1.8743 (1.8498) Prec@1 51.250 (51.474) Prec@5 81.875 (81.198) Epoch: [60][7100/11272] Time 0.736 (0.797) Data 0.001 (0.002) Loss 1.6521 (1.8497) Prec@1 58.125 (51.474) Prec@5 82.500 (81.201) Epoch: [60][7110/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.8447 (1.8497) Prec@1 51.250 (51.477) Prec@5 78.125 (81.200) Epoch: [60][7120/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 2.1085 (1.8497) Prec@1 43.750 (51.476) Prec@5 79.375 (81.200) Epoch: [60][7130/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.7800 (1.8496) Prec@1 53.750 (51.477) Prec@5 83.750 (81.200) Epoch: [60][7140/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.9297 (1.8495) Prec@1 50.625 (51.481) Prec@5 76.250 (81.201) Epoch: [60][7150/11272] Time 0.803 (0.797) Data 0.001 (0.002) Loss 2.0495 (1.8495) Prec@1 46.250 (51.482) Prec@5 75.000 (81.201) Epoch: [60][7160/11272] Time 0.753 (0.797) Data 0.004 (0.002) Loss 2.0425 (1.8494) Prec@1 51.875 (51.485) Prec@5 78.125 (81.202) Epoch: [60][7170/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 1.6127 (1.8493) Prec@1 58.750 (51.487) Prec@5 83.125 (81.204) Epoch: [60][7180/11272] Time 0.856 (0.797) Data 0.001 (0.002) Loss 1.8461 (1.8492) Prec@1 53.125 (51.489) Prec@5 81.875 (81.205) Epoch: [60][7190/11272] Time 0.886 (0.797) Data 0.002 (0.002) Loss 1.6996 (1.8492) Prec@1 50.625 (51.488) Prec@5 86.875 (81.206) Epoch: [60][7200/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.9867 (1.8491) Prec@1 48.750 (51.489) Prec@5 78.125 (81.207) Epoch: [60][7210/11272] Time 0.716 (0.797) Data 0.001 (0.002) Loss 1.8456 (1.8492) Prec@1 53.125 (51.490) Prec@5 81.875 (81.206) Epoch: [60][7220/11272] Time 0.902 (0.797) Data 0.002 (0.002) Loss 2.0138 (1.8492) Prec@1 48.125 (51.487) Prec@5 77.500 (81.204) Epoch: [60][7230/11272] Time 0.831 (0.797) Data 0.002 (0.002) Loss 1.9012 (1.8493) Prec@1 47.500 (51.484) Prec@5 78.125 (81.201) Epoch: [60][7240/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.8414 (1.8493) Prec@1 46.875 (51.483) Prec@5 81.875 (81.203) Epoch: [60][7250/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.8868 (1.8493) Prec@1 54.375 (51.484) Prec@5 83.750 (81.203) Epoch: [60][7260/11272] Time 0.850 (0.797) Data 0.001 (0.002) Loss 1.8109 (1.8493) Prec@1 49.375 (51.484) Prec@5 80.625 (81.204) Epoch: [60][7270/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 1.7634 (1.8491) Prec@1 53.750 (51.488) Prec@5 83.125 (81.206) Epoch: [60][7280/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.8747 (1.8491) Prec@1 48.750 (51.487) Prec@5 81.250 (81.206) Epoch: [60][7290/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.8141 (1.8490) Prec@1 51.250 (51.489) Prec@5 80.625 (81.207) Epoch: [60][7300/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.8738 (1.8491) Prec@1 50.625 (51.489) Prec@5 81.875 (81.205) Epoch: [60][7310/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.7925 (1.8490) Prec@1 53.750 (51.490) Prec@5 81.875 (81.206) Epoch: [60][7320/11272] Time 0.745 (0.796) Data 0.002 (0.002) Loss 1.7218 (1.8491) Prec@1 53.750 (51.488) Prec@5 81.250 (81.205) Epoch: [60][7330/11272] Time 0.855 (0.796) Data 0.002 (0.002) Loss 1.8277 (1.8490) Prec@1 53.125 (51.487) Prec@5 82.500 (81.207) Epoch: [60][7340/11272] Time 0.843 (0.796) Data 0.002 (0.002) Loss 1.7894 (1.8489) Prec@1 53.125 (51.493) Prec@5 84.375 (81.210) Epoch: [60][7350/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 1.9404 (1.8487) Prec@1 50.000 (51.496) Prec@5 76.875 (81.212) Epoch: [60][7360/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.7423 (1.8487) Prec@1 48.125 (51.494) Prec@5 83.125 (81.213) Epoch: [60][7370/11272] Time 0.853 (0.796) Data 0.001 (0.002) Loss 1.6768 (1.8486) Prec@1 53.750 (51.494) Prec@5 85.625 (81.214) Epoch: [60][7380/11272] Time 0.832 (0.796) Data 0.001 (0.002) Loss 1.8381 (1.8486) Prec@1 51.250 (51.496) Prec@5 80.625 (81.215) Epoch: [60][7390/11272] Time 0.725 (0.796) Data 0.001 (0.002) Loss 1.7403 (1.8485) Prec@1 52.500 (51.496) Prec@5 82.500 (81.216) Epoch: [60][7400/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.9537 (1.8485) Prec@1 50.000 (51.496) Prec@5 80.625 (81.216) Epoch: [60][7410/11272] Time 0.846 (0.796) Data 0.001 (0.002) Loss 1.7293 (1.8485) Prec@1 55.000 (51.497) Prec@5 84.375 (81.215) Epoch: [60][7420/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 1.8559 (1.8485) Prec@1 53.750 (51.497) Prec@5 79.375 (81.215) Epoch: [60][7430/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 1.7061 (1.8485) Prec@1 50.625 (51.497) Prec@5 85.000 (81.217) Epoch: [60][7440/11272] Time 0.839 (0.796) Data 0.002 (0.002) Loss 1.9718 (1.8484) Prec@1 45.000 (51.497) Prec@5 76.250 (81.218) Epoch: [60][7450/11272] Time 0.826 (0.796) Data 0.002 (0.002) Loss 1.8337 (1.8483) Prec@1 48.750 (51.497) Prec@5 81.250 (81.219) Epoch: [60][7460/11272] Time 0.739 (0.796) Data 0.002 (0.002) Loss 1.8127 (1.8483) Prec@1 55.000 (51.496) Prec@5 77.500 (81.220) Epoch: [60][7470/11272] Time 0.721 (0.796) Data 0.001 (0.002) Loss 1.8451 (1.8483) Prec@1 48.125 (51.496) Prec@5 78.750 (81.219) Epoch: [60][7480/11272] Time 0.854 (0.796) Data 0.001 (0.002) Loss 1.7408 (1.8482) Prec@1 52.500 (51.500) Prec@5 83.125 (81.221) Epoch: [60][7490/11272] Time 0.837 (0.796) Data 0.001 (0.002) Loss 1.6474 (1.8482) Prec@1 58.750 (51.500) Prec@5 83.125 (81.221) Epoch: [60][7500/11272] Time 0.745 (0.796) Data 0.001 (0.002) Loss 1.8041 (1.8482) Prec@1 53.125 (51.499) Prec@5 85.625 (81.222) Epoch: [60][7510/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.7594 (1.8482) Prec@1 56.250 (51.499) Prec@5 83.750 (81.223) Epoch: [60][7520/11272] Time 0.832 (0.796) Data 0.002 (0.002) Loss 1.9748 (1.8482) Prec@1 46.250 (51.499) Prec@5 77.500 (81.222) Epoch: [60][7530/11272] Time 0.905 (0.796) Data 0.002 (0.002) Loss 1.9346 (1.8481) Prec@1 49.375 (51.498) Prec@5 82.500 (81.223) Epoch: [60][7540/11272] Time 0.751 (0.796) Data 0.002 (0.002) Loss 1.6017 (1.8481) Prec@1 53.125 (51.497) Prec@5 85.000 (81.223) Epoch: [60][7550/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 1.7478 (1.8479) Prec@1 56.875 (51.501) Prec@5 81.250 (81.224) Epoch: [60][7560/11272] Time 0.846 (0.796) Data 0.001 (0.002) Loss 1.6474 (1.8479) Prec@1 60.625 (51.502) Prec@5 81.875 (81.222) Epoch: [60][7570/11272] Time 0.736 (0.796) Data 0.001 (0.002) Loss 2.0574 (1.8479) Prec@1 49.375 (51.504) Prec@5 76.875 (81.222) Epoch: [60][7580/11272] Time 0.726 (0.796) Data 0.002 (0.002) Loss 1.6042 (1.8479) Prec@1 54.375 (51.504) Prec@5 87.500 (81.223) Epoch: [60][7590/11272] Time 0.855 (0.796) Data 0.002 (0.002) Loss 1.7975 (1.8478) Prec@1 48.750 (51.505) Prec@5 81.250 (81.224) Epoch: [60][7600/11272] Time 0.870 (0.796) Data 0.002 (0.002) Loss 2.0188 (1.8478) Prec@1 49.375 (51.505) Prec@5 75.625 (81.224) Epoch: [60][7610/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.8050 (1.8477) Prec@1 57.500 (51.507) Prec@5 78.750 (81.224) Epoch: [60][7620/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 1.7405 (1.8477) Prec@1 53.750 (51.506) Prec@5 83.125 (81.224) Epoch: [60][7630/11272] Time 0.852 (0.796) Data 0.001 (0.002) Loss 2.2481 (1.8478) Prec@1 39.375 (51.504) Prec@5 76.875 (81.223) Epoch: [60][7640/11272] Time 0.836 (0.796) Data 0.002 (0.002) Loss 1.8858 (1.8478) Prec@1 47.500 (51.503) Prec@5 80.000 (81.221) Epoch: [60][7650/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.6940 (1.8478) Prec@1 56.875 (51.504) Prec@5 85.625 (81.221) Epoch: [60][7660/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.8676 (1.8478) Prec@1 53.750 (51.505) Prec@5 83.750 (81.221) Epoch: [60][7670/11272] Time 0.816 (0.796) Data 0.002 (0.002) Loss 1.6994 (1.8478) Prec@1 56.250 (51.507) Prec@5 80.625 (81.222) Epoch: [60][7680/11272] Time 0.807 (0.796) Data 0.001 (0.002) Loss 1.5356 (1.8477) Prec@1 58.750 (51.509) Prec@5 86.875 (81.224) Epoch: [60][7690/11272] Time 0.739 (0.796) Data 0.001 (0.002) Loss 2.2630 (1.8477) Prec@1 44.375 (51.510) Prec@5 75.000 (81.222) Epoch: [60][7700/11272] Time 0.815 (0.796) Data 0.002 (0.002) Loss 1.8289 (1.8477) Prec@1 51.875 (51.510) Prec@5 82.500 (81.223) Epoch: [60][7710/11272] Time 0.810 (0.796) Data 0.001 (0.002) Loss 1.8465 (1.8477) Prec@1 47.500 (51.512) Prec@5 83.750 (81.223) Epoch: [60][7720/11272] Time 0.748 (0.796) Data 0.001 (0.002) Loss 1.9505 (1.8477) Prec@1 48.125 (51.513) Prec@5 79.375 (81.221) Epoch: [60][7730/11272] Time 0.725 (0.796) Data 0.001 (0.002) Loss 1.7584 (1.8476) Prec@1 50.000 (51.515) Prec@5 83.125 (81.221) Epoch: [60][7740/11272] Time 0.848 (0.796) Data 0.002 (0.002) Loss 2.0298 (1.8477) Prec@1 45.000 (51.512) Prec@5 75.625 (81.221) Epoch: [60][7750/11272] Time 0.848 (0.796) Data 0.001 (0.002) Loss 1.6521 (1.8476) Prec@1 55.000 (51.510) Prec@5 81.875 (81.221) Epoch: [60][7760/11272] Time 0.730 (0.796) Data 0.002 (0.002) Loss 1.9305 (1.8476) Prec@1 49.375 (51.510) Prec@5 79.375 (81.221) Epoch: [60][7770/11272] Time 0.748 (0.796) Data 0.002 (0.002) Loss 1.7262 (1.8476) Prec@1 55.625 (51.511) Prec@5 81.250 (81.221) Epoch: [60][7780/11272] Time 0.849 (0.796) Data 0.002 (0.002) Loss 1.6464 (1.8475) Prec@1 55.625 (51.512) Prec@5 87.500 (81.223) Epoch: [60][7790/11272] Time 0.852 (0.796) Data 0.001 (0.002) Loss 1.7542 (1.8475) Prec@1 59.375 (51.511) Prec@5 83.125 (81.224) Epoch: [60][7800/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.7153 (1.8474) Prec@1 55.000 (51.511) Prec@5 83.125 (81.225) Epoch: [60][7810/11272] Time 0.758 (0.796) Data 0.003 (0.002) Loss 2.1249 (1.8474) Prec@1 44.375 (51.513) Prec@5 77.500 (81.224) Epoch: [60][7820/11272] Time 0.827 (0.796) Data 0.002 (0.002) Loss 1.7861 (1.8473) Prec@1 56.250 (51.514) Prec@5 81.250 (81.224) Epoch: [60][7830/11272] Time 0.732 (0.796) Data 0.003 (0.002) Loss 1.5914 (1.8472) Prec@1 55.000 (51.517) Prec@5 85.625 (81.227) Epoch: [60][7840/11272] Time 0.720 (0.796) Data 0.001 (0.002) Loss 1.7864 (1.8471) Prec@1 53.125 (51.518) Prec@5 83.125 (81.229) Epoch: [60][7850/11272] Time 0.834 (0.796) Data 0.002 (0.002) Loss 1.6451 (1.8472) Prec@1 51.875 (51.517) Prec@5 86.875 (81.229) Epoch: [60][7860/11272] Time 0.888 (0.796) Data 0.001 (0.002) Loss 1.8528 (1.8472) Prec@1 53.750 (51.520) Prec@5 81.875 (81.229) Epoch: [60][7870/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.5143 (1.8471) Prec@1 60.000 (51.521) Prec@5 91.250 (81.230) Epoch: [60][7880/11272] Time 0.738 (0.796) Data 0.001 (0.002) Loss 1.7932 (1.8470) Prec@1 45.625 (51.524) Prec@5 80.625 (81.233) Epoch: [60][7890/11272] Time 0.851 (0.796) Data 0.002 (0.002) Loss 1.8329 (1.8470) Prec@1 48.125 (51.523) Prec@5 84.375 (81.232) Epoch: [60][7900/11272] Time 0.874 (0.796) Data 0.002 (0.002) Loss 1.7878 (1.8470) Prec@1 52.500 (51.522) Prec@5 83.125 (81.232) Epoch: [60][7910/11272] Time 0.725 (0.796) Data 0.001 (0.002) Loss 1.6869 (1.8470) Prec@1 55.625 (51.522) Prec@5 82.500 (81.233) Epoch: [60][7920/11272] Time 0.738 (0.796) Data 0.001 (0.002) Loss 1.8382 (1.8470) Prec@1 50.000 (51.521) Prec@5 81.250 (81.234) Epoch: [60][7930/11272] Time 0.916 (0.796) Data 0.002 (0.002) Loss 1.4513 (1.8468) Prec@1 60.000 (51.525) Prec@5 90.000 (81.237) Epoch: [60][7940/11272] Time 0.829 (0.796) Data 0.001 (0.002) Loss 1.8838 (1.8468) Prec@1 49.375 (51.527) Prec@5 78.125 (81.238) Epoch: [60][7950/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.8051 (1.8467) Prec@1 51.250 (51.530) Prec@5 79.375 (81.238) Epoch: [60][7960/11272] Time 0.842 (0.796) Data 0.002 (0.002) Loss 2.0136 (1.8467) Prec@1 49.375 (51.530) Prec@5 76.875 (81.239) Epoch: [60][7970/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 1.6586 (1.8465) Prec@1 53.750 (51.532) Prec@5 83.125 (81.242) Epoch: [60][7980/11272] Time 0.708 (0.796) Data 0.001 (0.002) Loss 1.8804 (1.8466) Prec@1 49.375 (51.529) Prec@5 83.125 (81.241) Epoch: [60][7990/11272] Time 0.721 (0.796) Data 0.001 (0.002) Loss 1.9996 (1.8466) Prec@1 46.250 (51.527) Prec@5 77.500 (81.242) Epoch: [60][8000/11272] Time 0.850 (0.796) Data 0.002 (0.002) Loss 1.8020 (1.8467) Prec@1 53.125 (51.526) Prec@5 80.625 (81.242) Epoch: [60][8010/11272] Time 0.844 (0.796) Data 0.001 (0.002) Loss 1.9772 (1.8467) Prec@1 53.125 (51.525) Prec@5 81.250 (81.241) Epoch: [60][8020/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.9337 (1.8468) Prec@1 44.375 (51.521) Prec@5 78.750 (81.238) Epoch: [60][8030/11272] Time 0.737 (0.796) Data 0.002 (0.002) Loss 2.0014 (1.8468) Prec@1 50.625 (51.523) Prec@5 77.500 (81.239) Epoch: [60][8040/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 1.9167 (1.8468) Prec@1 48.125 (51.525) Prec@5 81.875 (81.239) Epoch: [60][8050/11272] Time 0.832 (0.796) Data 0.002 (0.002) Loss 1.9638 (1.8468) Prec@1 47.500 (51.523) Prec@5 75.000 (81.240) Epoch: [60][8060/11272] Time 0.785 (0.796) Data 0.002 (0.002) Loss 1.7934 (1.8467) Prec@1 51.875 (51.526) Prec@5 80.000 (81.241) Epoch: [60][8070/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.4723 (1.8467) Prec@1 60.000 (51.526) Prec@5 87.500 (81.242) Epoch: [60][8080/11272] Time 0.847 (0.796) Data 0.001 (0.002) Loss 1.7081 (1.8466) Prec@1 55.625 (51.528) Prec@5 82.500 (81.242) Epoch: [60][8090/11272] Time 0.758 (0.796) Data 0.003 (0.002) Loss 1.6848 (1.8465) Prec@1 49.375 (51.531) Prec@5 84.375 (81.242) Epoch: [60][8100/11272] Time 0.782 (0.796) Data 0.002 (0.002) Loss 1.8759 (1.8465) Prec@1 46.250 (51.531) Prec@5 81.250 (81.244) Epoch: [60][8110/11272] Time 0.835 (0.796) Data 0.001 (0.002) Loss 1.6932 (1.8464) Prec@1 48.750 (51.532) Prec@5 85.000 (81.247) Epoch: [60][8120/11272] Time 0.830 (0.796) Data 0.002 (0.002) Loss 1.7525 (1.8464) Prec@1 51.250 (51.532) Prec@5 83.125 (81.247) Epoch: [60][8130/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.7880 (1.8463) Prec@1 55.625 (51.533) Prec@5 80.000 (81.249) Epoch: [60][8140/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.7259 (1.8463) Prec@1 50.000 (51.534) Prec@5 88.125 (81.248) Epoch: [60][8150/11272] Time 0.796 (0.796) Data 0.001 (0.002) Loss 1.7623 (1.8462) Prec@1 50.000 (51.534) Prec@5 85.625 (81.252) Epoch: [60][8160/11272] Time 0.809 (0.796) Data 0.001 (0.002) Loss 1.6505 (1.8462) Prec@1 53.750 (51.535) Prec@5 85.625 (81.252) Epoch: [60][8170/11272] Time 0.722 (0.796) Data 0.002 (0.002) Loss 1.9109 (1.8462) Prec@1 48.750 (51.535) Prec@5 83.125 (81.252) Epoch: [60][8180/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 1.6982 (1.8462) Prec@1 54.375 (51.534) Prec@5 85.625 (81.252) Epoch: [60][8190/11272] Time 0.854 (0.796) Data 0.001 (0.002) Loss 1.9480 (1.8461) Prec@1 45.000 (51.535) Prec@5 84.375 (81.253) Epoch: [60][8200/11272] Time 0.835 (0.796) Data 0.002 (0.002) Loss 1.7154 (1.8460) Prec@1 56.875 (51.537) Prec@5 82.500 (81.254) Epoch: [60][8210/11272] Time 0.730 (0.796) Data 0.002 (0.002) Loss 1.9143 (1.8461) Prec@1 46.875 (51.534) Prec@5 79.375 (81.253) Epoch: [60][8220/11272] Time 0.803 (0.796) Data 0.001 (0.002) Loss 1.7054 (1.8460) Prec@1 51.250 (51.535) Prec@5 81.250 (81.253) Epoch: [60][8230/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 1.7403 (1.8461) Prec@1 53.750 (51.533) Prec@5 83.750 (81.251) Epoch: [60][8240/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 1.7861 (1.8460) Prec@1 53.125 (51.535) Prec@5 80.625 (81.252) Epoch: [60][8250/11272] Time 0.749 (0.796) Data 0.002 (0.002) Loss 1.8405 (1.8460) Prec@1 47.500 (51.535) Prec@5 81.250 (81.254) Epoch: [60][8260/11272] Time 0.880 (0.796) Data 0.002 (0.002) Loss 1.8214 (1.8460) Prec@1 52.500 (51.535) Prec@5 83.750 (81.254) Epoch: [60][8270/11272] Time 0.854 (0.796) Data 0.002 (0.002) Loss 1.7375 (1.8459) Prec@1 51.875 (51.535) Prec@5 83.125 (81.254) Epoch: [60][8280/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 1.7004 (1.8459) Prec@1 58.125 (51.536) Prec@5 81.250 (81.254) Epoch: [60][8290/11272] Time 0.730 (0.796) Data 0.002 (0.002) Loss 1.7319 (1.8458) Prec@1 51.875 (51.537) Prec@5 85.000 (81.256) Epoch: [60][8300/11272] Time 0.834 (0.796) Data 0.001 (0.002) Loss 1.9575 (1.8458) Prec@1 52.500 (51.539) Prec@5 78.750 (81.257) Epoch: [60][8310/11272] Time 0.829 (0.796) Data 0.002 (0.002) Loss 1.8167 (1.8457) Prec@1 55.625 (51.539) Prec@5 78.125 (81.258) Epoch: [60][8320/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 1.9861 (1.8456) Prec@1 46.250 (51.538) Prec@5 78.125 (81.259) Epoch: [60][8330/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.7064 (1.8456) Prec@1 56.250 (51.539) Prec@5 84.375 (81.260) Epoch: [60][8340/11272] Time 0.860 (0.796) Data 0.002 (0.002) Loss 2.0272 (1.8456) Prec@1 50.625 (51.539) Prec@5 81.875 (81.261) Epoch: [60][8350/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 1.7985 (1.8455) Prec@1 57.500 (51.540) Prec@5 83.750 (81.263) Epoch: [60][8360/11272] Time 0.748 (0.796) Data 0.001 (0.002) Loss 1.8824 (1.8455) Prec@1 52.500 (51.539) Prec@5 78.750 (81.263) Epoch: [60][8370/11272] Time 0.828 (0.795) Data 0.002 (0.002) Loss 1.9738 (1.8455) Prec@1 50.625 (51.539) Prec@5 80.625 (81.264) Epoch: [60][8380/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 1.5271 (1.8454) Prec@1 59.375 (51.541) Prec@5 86.250 (81.265) Epoch: [60][8390/11272] Time 0.718 (0.795) Data 0.001 (0.002) Loss 1.7463 (1.8454) Prec@1 52.500 (51.541) Prec@5 83.750 (81.266) Epoch: [60][8400/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.6697 (1.8454) Prec@1 51.875 (51.540) Prec@5 86.250 (81.266) Epoch: [60][8410/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.5674 (1.8453) Prec@1 61.875 (51.543) Prec@5 84.375 (81.268) Epoch: [60][8420/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 1.8624 (1.8453) Prec@1 50.625 (51.542) Prec@5 76.875 (81.269) Epoch: [60][8430/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.8133 (1.8452) Prec@1 54.375 (51.544) Prec@5 80.000 (81.270) Epoch: [60][8440/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.8390 (1.8451) Prec@1 53.125 (51.547) Prec@5 79.375 (81.272) Epoch: [60][8450/11272] Time 0.840 (0.795) Data 0.002 (0.002) Loss 2.0806 (1.8451) Prec@1 45.000 (51.546) Prec@5 78.750 (81.271) Epoch: [60][8460/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 2.0016 (1.8450) Prec@1 47.500 (51.546) Prec@5 78.750 (81.272) Epoch: [60][8470/11272] Time 0.785 (0.795) Data 0.002 (0.002) Loss 1.7674 (1.8450) Prec@1 51.875 (51.547) Prec@5 79.375 (81.274) Epoch: [60][8480/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 2.1119 (1.8449) Prec@1 49.375 (51.548) Prec@5 78.750 (81.274) Epoch: [60][8490/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 1.7904 (1.8449) Prec@1 56.250 (51.549) Prec@5 83.750 (81.275) Epoch: [60][8500/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.4859 (1.8449) Prec@1 62.500 (51.549) Prec@5 86.250 (81.275) Epoch: [60][8510/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.8883 (1.8449) Prec@1 50.625 (51.549) Prec@5 82.500 (81.275) Epoch: [60][8520/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.7584 (1.8449) Prec@1 53.125 (51.549) Prec@5 81.875 (81.275) Epoch: [60][8530/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 1.7367 (1.8448) Prec@1 47.500 (51.550) Prec@5 85.625 (81.276) Epoch: [60][8540/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 1.8084 (1.8448) Prec@1 54.375 (51.550) Prec@5 81.250 (81.275) Epoch: [60][8550/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.8836 (1.8448) Prec@1 51.250 (51.550) Prec@5 81.875 (81.275) Epoch: [60][8560/11272] Time 0.900 (0.795) Data 0.001 (0.002) Loss 1.6530 (1.8448) Prec@1 57.500 (51.551) Prec@5 83.750 (81.275) Epoch: [60][8570/11272] Time 0.864 (0.795) Data 0.001 (0.002) Loss 1.9813 (1.8448) Prec@1 50.000 (51.553) Prec@5 79.375 (81.276) Epoch: [60][8580/11272] Time 0.748 (0.795) Data 0.002 (0.002) Loss 1.9325 (1.8448) Prec@1 46.250 (51.551) Prec@5 76.875 (81.274) Epoch: [60][8590/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 1.7344 (1.8449) Prec@1 56.250 (51.551) Prec@5 80.625 (81.273) Epoch: [60][8600/11272] Time 0.817 (0.795) Data 0.001 (0.002) Loss 1.7877 (1.8449) Prec@1 50.625 (51.550) Prec@5 79.375 (81.273) Epoch: [60][8610/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 1.7721 (1.8449) Prec@1 53.750 (51.550) Prec@5 85.000 (81.272) Epoch: [60][8620/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.7931 (1.8449) Prec@1 50.000 (51.551) Prec@5 82.500 (81.273) Epoch: [60][8630/11272] Time 0.874 (0.795) Data 0.003 (0.002) Loss 1.8137 (1.8448) Prec@1 51.250 (51.550) Prec@5 84.375 (81.273) Epoch: [60][8640/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 1.9822 (1.8448) Prec@1 51.250 (51.551) Prec@5 78.750 (81.274) Epoch: [60][8650/11272] Time 0.754 (0.795) Data 0.002 (0.002) Loss 1.6012 (1.8447) Prec@1 58.125 (51.554) Prec@5 83.750 (81.276) Epoch: [60][8660/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.9318 (1.8447) Prec@1 47.500 (51.554) Prec@5 80.000 (81.278) Epoch: [60][8670/11272] Time 0.878 (0.795) Data 0.002 (0.002) Loss 1.6646 (1.8445) Prec@1 56.875 (51.557) Prec@5 87.500 (81.281) Epoch: [60][8680/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 1.7852 (1.8445) Prec@1 50.625 (51.558) Prec@5 83.125 (81.281) Epoch: [60][8690/11272] Time 0.738 (0.795) Data 0.001 (0.002) Loss 1.5480 (1.8444) Prec@1 61.875 (51.564) Prec@5 85.625 (81.284) Epoch: [60][8700/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.7081 (1.8443) Prec@1 50.625 (51.566) Prec@5 85.000 (81.285) Epoch: [60][8710/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 1.7702 (1.8443) Prec@1 55.000 (51.566) Prec@5 82.500 (81.285) Epoch: [60][8720/11272] Time 0.844 (0.795) Data 0.002 (0.002) Loss 1.8050 (1.8443) Prec@1 52.500 (51.567) Prec@5 80.625 (81.284) Epoch: [60][8730/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.9392 (1.8442) Prec@1 49.375 (51.567) Prec@5 79.375 (81.285) Epoch: [60][8740/11272] Time 0.745 (0.795) Data 0.002 (0.002) Loss 1.8052 (1.8441) Prec@1 51.875 (51.567) Prec@5 81.875 (81.285) Epoch: [60][8750/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.7317 (1.8440) Prec@1 55.000 (51.569) Prec@5 81.250 (81.286) Epoch: [60][8760/11272] Time 0.733 (0.795) Data 0.003 (0.002) Loss 1.8347 (1.8439) Prec@1 55.000 (51.571) Prec@5 81.875 (81.288) Epoch: [60][8770/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 1.5881 (1.8438) Prec@1 61.250 (51.572) Prec@5 82.500 (81.291) Epoch: [60][8780/11272] Time 0.808 (0.795) Data 0.001 (0.002) Loss 1.9194 (1.8438) Prec@1 48.125 (51.572) Prec@5 83.750 (81.291) Epoch: [60][8790/11272] Time 0.884 (0.795) Data 0.001 (0.002) Loss 1.4302 (1.8438) Prec@1 61.875 (51.571) Prec@5 88.125 (81.291) Epoch: [60][8800/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.9346 (1.8437) Prec@1 47.500 (51.570) Prec@5 78.125 (81.292) Epoch: [60][8810/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.7914 (1.8437) Prec@1 55.000 (51.572) Prec@5 83.750 (81.293) Epoch: [60][8820/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 1.6552 (1.8436) Prec@1 54.375 (51.573) Prec@5 83.750 (81.294) Epoch: [60][8830/11272] Time 0.856 (0.795) Data 0.001 (0.002) Loss 1.7257 (1.8435) Prec@1 56.875 (51.575) Prec@5 83.750 (81.295) Epoch: [60][8840/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 2.0661 (1.8434) Prec@1 43.125 (51.577) Prec@5 81.250 (81.297) Epoch: [60][8850/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 1.9437 (1.8433) Prec@1 54.375 (51.581) Prec@5 82.500 (81.299) Epoch: [60][8860/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.5699 (1.8433) Prec@1 60.625 (51.583) Prec@5 85.625 (81.299) Epoch: [60][8870/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.7485 (1.8432) Prec@1 55.000 (51.586) Prec@5 80.000 (81.300) Epoch: [60][8880/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.7482 (1.8431) Prec@1 53.750 (51.588) Prec@5 78.750 (81.302) Epoch: [60][8890/11272] Time 0.826 (0.795) Data 0.002 (0.002) Loss 1.7154 (1.8430) Prec@1 53.750 (51.591) Prec@5 86.250 (81.304) Epoch: [60][8900/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 1.7040 (1.8430) Prec@1 53.750 (51.590) Prec@5 83.750 (81.305) Epoch: [60][8910/11272] Time 0.736 (0.795) Data 0.001 (0.002) Loss 1.7403 (1.8430) Prec@1 49.375 (51.589) Prec@5 82.500 (81.304) Epoch: [60][8920/11272] Time 0.757 (0.795) Data 0.002 (0.002) Loss 2.0343 (1.8430) Prec@1 48.750 (51.589) Prec@5 76.875 (81.305) Epoch: [60][8930/11272] Time 0.848 (0.795) Data 0.002 (0.002) Loss 1.8714 (1.8430) Prec@1 51.250 (51.588) Prec@5 82.500 (81.306) Epoch: [60][8940/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.7598 (1.8430) Prec@1 52.500 (51.588) Prec@5 85.000 (81.307) Epoch: [60][8950/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.5891 (1.8429) Prec@1 56.875 (51.592) Prec@5 86.875 (81.309) Epoch: [60][8960/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.5783 (1.8427) Prec@1 55.625 (51.595) Prec@5 81.875 (81.310) Epoch: [60][8970/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.9003 (1.8427) Prec@1 50.625 (51.595) Prec@5 81.250 (81.312) Epoch: [60][8980/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 1.9943 (1.8427) Prec@1 46.250 (51.595) Prec@5 79.375 (81.312) Epoch: [60][8990/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 1.7847 (1.8426) Prec@1 54.375 (51.597) Prec@5 83.125 (81.313) Epoch: [60][9000/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.7780 (1.8426) Prec@1 54.375 (51.597) Prec@5 79.375 (81.314) Epoch: [60][9010/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.8785 (1.8425) Prec@1 50.000 (51.598) Prec@5 80.625 (81.317) Epoch: [60][9020/11272] Time 0.729 (0.795) Data 0.003 (0.002) Loss 1.8040 (1.8425) Prec@1 54.375 (51.599) Prec@5 79.375 (81.317) Epoch: [60][9030/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.8558 (1.8424) Prec@1 55.625 (51.599) Prec@5 83.125 (81.318) Epoch: [60][9040/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 1.7809 (1.8425) Prec@1 56.250 (51.599) Prec@5 81.875 (81.319) Epoch: [60][9050/11272] Time 0.829 (0.795) Data 0.002 (0.002) Loss 1.5740 (1.8424) Prec@1 58.125 (51.599) Prec@5 86.875 (81.319) Epoch: [60][9060/11272] Time 0.715 (0.795) Data 0.001 (0.002) Loss 1.8603 (1.8424) Prec@1 51.250 (51.599) Prec@5 81.875 (81.320) Epoch: [60][9070/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 2.1014 (1.8424) Prec@1 45.625 (51.599) Prec@5 78.750 (81.318) Epoch: [60][9080/11272] Time 0.889 (0.795) Data 0.002 (0.002) Loss 2.0753 (1.8424) Prec@1 45.000 (51.600) Prec@5 78.125 (81.318) Epoch: [60][9090/11272] Time 0.827 (0.795) Data 0.002 (0.002) Loss 1.9909 (1.8425) Prec@1 44.375 (51.598) Prec@5 78.125 (81.317) Epoch: [60][9100/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 1.7671 (1.8424) Prec@1 55.000 (51.600) Prec@5 84.375 (81.318) Epoch: [60][9110/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.8913 (1.8424) Prec@1 51.875 (51.600) Prec@5 83.125 (81.318) Epoch: [60][9120/11272] Time 0.819 (0.795) Data 0.002 (0.002) Loss 1.8023 (1.8424) Prec@1 45.000 (51.599) Prec@5 82.500 (81.319) Epoch: [60][9130/11272] Time 0.857 (0.795) Data 0.001 (0.002) Loss 1.7107 (1.8423) Prec@1 51.250 (51.601) Prec@5 83.125 (81.320) Epoch: [60][9140/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.9411 (1.8424) Prec@1 50.625 (51.599) Prec@5 80.625 (81.319) Epoch: [60][9150/11272] Time 0.789 (0.795) Data 0.002 (0.002) Loss 1.9949 (1.8424) Prec@1 50.000 (51.602) Prec@5 82.500 (81.320) Epoch: [60][9160/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.7691 (1.8423) Prec@1 52.500 (51.604) Prec@5 83.125 (81.322) Epoch: [60][9170/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 1.7643 (1.8422) Prec@1 52.500 (51.604) Prec@5 81.250 (81.323) Epoch: [60][9180/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.6779 (1.8422) Prec@1 55.000 (51.605) Prec@5 83.125 (81.322) Epoch: [60][9190/11272] Time 0.838 (0.795) Data 0.002 (0.002) Loss 1.8204 (1.8421) Prec@1 50.625 (51.606) Prec@5 80.625 (81.323) Epoch: [60][9200/11272] Time 0.817 (0.795) Data 0.001 (0.002) Loss 1.7464 (1.8421) Prec@1 50.625 (51.604) Prec@5 83.125 (81.323) Epoch: [60][9210/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.7427 (1.8421) Prec@1 55.000 (51.606) Prec@5 80.625 (81.326) Epoch: [60][9220/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.8881 (1.8421) Prec@1 44.375 (51.605) Prec@5 83.125 (81.326) Epoch: [60][9230/11272] Time 0.831 (0.795) Data 0.002 (0.002) Loss 1.9507 (1.8420) Prec@1 53.125 (51.605) Prec@5 75.625 (81.326) Epoch: [60][9240/11272] Time 0.850 (0.795) Data 0.002 (0.002) Loss 1.7938 (1.8420) Prec@1 52.500 (51.607) Prec@5 84.375 (81.328) Epoch: [60][9250/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.7904 (1.8419) Prec@1 51.875 (51.608) Prec@5 83.125 (81.329) Epoch: [60][9260/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 1.6583 (1.8418) Prec@1 58.750 (51.612) Prec@5 84.375 (81.331) Epoch: [60][9270/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.7423 (1.8418) Prec@1 56.250 (51.611) Prec@5 85.000 (81.330) Epoch: [60][9280/11272] Time 0.828 (0.795) Data 0.001 (0.002) Loss 1.7323 (1.8417) Prec@1 53.125 (51.611) Prec@5 83.125 (81.332) Epoch: [60][9290/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.9841 (1.8417) Prec@1 51.250 (51.609) Prec@5 76.875 (81.331) Epoch: [60][9300/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 1.6654 (1.8417) Prec@1 51.250 (51.610) Prec@5 84.375 (81.332) Epoch: [60][9310/11272] Time 0.834 (0.795) Data 0.002 (0.002) Loss 2.0005 (1.8416) Prec@1 44.375 (51.612) Prec@5 79.375 (81.333) Epoch: [60][9320/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.6051 (1.8415) Prec@1 53.750 (51.613) Prec@5 86.250 (81.336) Epoch: [60][9330/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 2.1054 (1.8415) Prec@1 52.500 (51.614) Prec@5 80.000 (81.336) Epoch: [60][9340/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.7296 (1.8415) Prec@1 55.000 (51.616) Prec@5 78.750 (81.336) Epoch: [60][9350/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.7048 (1.8414) Prec@1 54.375 (51.617) Prec@5 84.375 (81.336) Epoch: [60][9360/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.8033 (1.8414) Prec@1 51.250 (51.618) Prec@5 81.250 (81.338) Epoch: [60][9370/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.8637 (1.8414) Prec@1 57.500 (51.618) Prec@5 80.625 (81.337) Epoch: [60][9380/11272] Time 0.900 (0.795) Data 0.002 (0.002) Loss 1.7260 (1.8413) Prec@1 53.125 (51.618) Prec@5 84.375 (81.339) Epoch: [60][9390/11272] Time 0.831 (0.795) Data 0.002 (0.002) Loss 1.9843 (1.8413) Prec@1 51.250 (51.618) Prec@5 76.875 (81.339) Epoch: [60][9400/11272] Time 0.737 (0.795) Data 0.001 (0.002) Loss 1.8375 (1.8412) Prec@1 53.125 (51.620) Prec@5 81.875 (81.341) Epoch: [60][9410/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.7695 (1.8412) Prec@1 55.000 (51.621) Prec@5 83.125 (81.343) Epoch: [60][9420/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.5405 (1.8411) Prec@1 59.375 (51.623) Prec@5 85.000 (81.345) Epoch: [60][9430/11272] Time 0.745 (0.795) Data 0.001 (0.002) Loss 1.8222 (1.8412) Prec@1 54.375 (51.622) Prec@5 83.125 (81.344) Epoch: [60][9440/11272] Time 0.722 (0.795) Data 0.002 (0.002) Loss 1.9214 (1.8412) Prec@1 51.250 (51.621) Prec@5 81.875 (81.343) Epoch: [60][9450/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.8372 (1.8412) Prec@1 50.625 (51.622) Prec@5 84.375 (81.343) Epoch: [60][9460/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 1.7471 (1.8412) Prec@1 53.750 (51.623) Prec@5 82.500 (81.345) Epoch: [60][9470/11272] Time 0.732 (0.795) Data 0.001 (0.002) Loss 1.7867 (1.8411) Prec@1 51.875 (51.622) Prec@5 83.125 (81.345) Epoch: [60][9480/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 1.7298 (1.8411) Prec@1 52.500 (51.623) Prec@5 83.125 (81.346) Epoch: [60][9490/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 1.7573 (1.8411) Prec@1 50.625 (51.622) Prec@5 85.625 (81.346) Epoch: [60][9500/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 1.8560 (1.8410) Prec@1 53.750 (51.624) Prec@5 80.000 (81.347) Epoch: [60][9510/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 1.8657 (1.8410) Prec@1 51.250 (51.623) Prec@5 80.625 (81.347) Epoch: [60][9520/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 1.7565 (1.8410) Prec@1 57.500 (51.623) Prec@5 80.000 (81.347) Epoch: [60][9530/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.8552 (1.8410) Prec@1 50.000 (51.622) Prec@5 78.125 (81.347) Epoch: [60][9540/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.6609 (1.8411) Prec@1 53.125 (51.620) Prec@5 86.250 (81.347) Epoch: [60][9550/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.6896 (1.8411) Prec@1 56.875 (51.621) Prec@5 86.250 (81.346) Epoch: [60][9560/11272] Time 0.813 (0.794) Data 0.002 (0.002) Loss 1.9982 (1.8411) Prec@1 50.000 (51.623) Prec@5 77.500 (81.347) Epoch: [60][9570/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 1.5912 (1.8410) Prec@1 53.125 (51.624) Prec@5 83.750 (81.347) Epoch: [60][9580/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.9666 (1.8411) Prec@1 44.375 (51.621) Prec@5 78.750 (81.345) Epoch: [60][9590/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 1.8579 (1.8410) Prec@1 55.000 (51.623) Prec@5 78.750 (81.345) Epoch: [60][9600/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.6542 (1.8410) Prec@1 54.375 (51.625) Prec@5 85.000 (81.347) Epoch: [60][9610/11272] Time 0.816 (0.794) Data 0.001 (0.002) Loss 1.8243 (1.8409) Prec@1 50.000 (51.626) Prec@5 81.250 (81.348) Epoch: [60][9620/11272] Time 0.758 (0.794) Data 0.002 (0.002) Loss 1.6454 (1.8409) Prec@1 61.250 (51.627) Prec@5 83.125 (81.347) Epoch: [60][9630/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.6301 (1.8409) Prec@1 50.625 (51.627) Prec@5 86.875 (81.348) Epoch: [60][9640/11272] Time 0.835 (0.794) Data 0.001 (0.002) Loss 1.9498 (1.8408) Prec@1 49.375 (51.627) Prec@5 82.500 (81.350) Epoch: [60][9650/11272] Time 0.817 (0.794) Data 0.002 (0.002) Loss 1.8890 (1.8408) Prec@1 51.250 (51.628) Prec@5 75.625 (81.350) Epoch: [60][9660/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.7476 (1.8408) Prec@1 53.125 (51.628) Prec@5 83.750 (81.351) Epoch: [60][9670/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.7767 (1.8408) Prec@1 51.875 (51.630) Prec@5 83.750 (81.353) Epoch: [60][9680/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.8399 (1.8407) Prec@1 55.000 (51.631) Prec@5 78.750 (81.354) Epoch: [60][9690/11272] Time 0.731 (0.794) Data 0.003 (0.002) Loss 1.8480 (1.8407) Prec@1 55.625 (51.632) Prec@5 80.000 (81.355) Epoch: [60][9700/11272] Time 0.746 (0.794) Data 0.002 (0.002) Loss 1.7884 (1.8407) Prec@1 53.125 (51.631) Prec@5 80.625 (81.355) Epoch: [60][9710/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.7916 (1.8407) Prec@1 51.875 (51.631) Prec@5 82.500 (81.355) Epoch: [60][9720/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.8561 (1.8407) Prec@1 49.375 (51.632) Prec@5 84.375 (81.355) Epoch: [60][9730/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.7119 (1.8407) Prec@1 53.125 (51.633) Prec@5 83.750 (81.356) Epoch: [60][9740/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.8359 (1.8407) Prec@1 52.500 (51.631) Prec@5 80.000 (81.357) Epoch: [60][9750/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 1.7872 (1.8406) Prec@1 49.375 (51.631) Prec@5 84.375 (81.358) Epoch: [60][9760/11272] Time 0.831 (0.794) Data 0.002 (0.002) Loss 1.7785 (1.8407) Prec@1 55.000 (51.630) Prec@5 81.250 (81.357) Epoch: [60][9770/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 1.6734 (1.8407) Prec@1 57.500 (51.634) Prec@5 85.625 (81.357) Epoch: [60][9780/11272] Time 0.709 (0.794) Data 0.001 (0.002) Loss 1.7718 (1.8406) Prec@1 53.750 (51.633) Prec@5 81.250 (81.357) Epoch: [60][9790/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.7206 (1.8405) Prec@1 58.125 (51.636) Prec@5 84.375 (81.358) Epoch: [60][9800/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.7265 (1.8405) Prec@1 54.375 (51.636) Prec@5 81.250 (81.358) Epoch: [60][9810/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.8420 (1.8405) Prec@1 48.750 (51.635) Prec@5 80.625 (81.359) Epoch: [60][9820/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.9837 (1.8405) Prec@1 43.125 (51.633) Prec@5 78.750 (81.359) Epoch: [60][9830/11272] Time 0.812 (0.794) Data 0.001 (0.002) Loss 1.9973 (1.8405) Prec@1 47.500 (51.633) Prec@5 76.250 (81.359) Epoch: [60][9840/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.8652 (1.8405) Prec@1 51.250 (51.632) Prec@5 79.375 (81.358) Epoch: [60][9850/11272] Time 0.718 (0.794) Data 0.001 (0.002) Loss 1.6498 (1.8404) Prec@1 55.000 (51.634) Prec@5 81.875 (81.359) Epoch: [60][9860/11272] Time 0.867 (0.794) Data 0.002 (0.002) Loss 1.9254 (1.8405) Prec@1 50.625 (51.633) Prec@5 76.250 (81.359) Epoch: [60][9870/11272] Time 0.830 (0.794) Data 0.002 (0.002) Loss 1.9831 (1.8405) Prec@1 45.625 (51.634) Prec@5 79.375 (81.359) Epoch: [60][9880/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.7663 (1.8405) Prec@1 48.750 (51.632) Prec@5 81.875 (81.358) Epoch: [60][9890/11272] Time 0.752 (0.794) Data 0.002 (0.002) Loss 1.8232 (1.8405) Prec@1 48.125 (51.633) Prec@5 81.250 (81.357) Epoch: [60][9900/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.7413 (1.8405) Prec@1 54.375 (51.632) Prec@5 81.250 (81.358) Epoch: [60][9910/11272] Time 0.811 (0.794) Data 0.001 (0.002) Loss 1.8208 (1.8405) Prec@1 50.625 (51.632) Prec@5 83.750 (81.357) Epoch: [60][9920/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.9504 (1.8405) Prec@1 53.125 (51.631) Prec@5 81.875 (81.357) Epoch: [60][9930/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.7251 (1.8405) Prec@1 54.375 (51.632) Prec@5 80.625 (81.358) Epoch: [60][9940/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.4701 (1.8405) Prec@1 62.500 (51.632) Prec@5 86.250 (81.357) Epoch: [60][9950/11272] Time 0.726 (0.794) Data 0.003 (0.002) Loss 1.7254 (1.8404) Prec@1 58.125 (51.633) Prec@5 84.375 (81.357) Epoch: [60][9960/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.6486 (1.8403) Prec@1 52.500 (51.634) Prec@5 83.750 (81.360) Epoch: [60][9970/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.6498 (1.8403) Prec@1 50.000 (51.634) Prec@5 85.000 (81.361) Epoch: [60][9980/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.8880 (1.8402) Prec@1 45.625 (51.635) Prec@5 80.625 (81.362) Epoch: [60][9990/11272] Time 0.733 (0.794) Data 0.002 (0.002) Loss 1.8840 (1.8401) Prec@1 51.875 (51.638) Prec@5 82.500 (81.362) Epoch: [60][10000/11272] Time 0.736 (0.794) Data 0.002 (0.002) Loss 1.8600 (1.8401) Prec@1 50.625 (51.639) Prec@5 85.000 (81.363) Epoch: [60][10010/11272] Time 0.832 (0.794) Data 0.001 (0.002) Loss 1.6973 (1.8401) Prec@1 56.875 (51.640) Prec@5 82.500 (81.363) Epoch: [60][10020/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.8352 (1.8401) Prec@1 53.750 (51.642) Prec@5 79.375 (81.363) Epoch: [60][10030/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 1.8848 (1.8400) Prec@1 49.375 (51.642) Prec@5 78.750 (81.363) Epoch: [60][10040/11272] Time 0.734 (0.794) Data 0.001 (0.002) Loss 1.7415 (1.8400) Prec@1 51.875 (51.642) Prec@5 81.250 (81.364) Epoch: [60][10050/11272] Time 0.802 (0.794) Data 0.001 (0.002) Loss 1.7124 (1.8400) Prec@1 48.750 (51.642) Prec@5 84.375 (81.363) Epoch: [60][10060/11272] Time 0.880 (0.794) Data 0.002 (0.002) Loss 2.0189 (1.8400) Prec@1 48.125 (51.641) Prec@5 81.250 (81.363) Epoch: [60][10070/11272] Time 0.781 (0.794) Data 0.002 (0.002) Loss 1.7946 (1.8400) Prec@1 51.250 (51.640) Prec@5 83.750 (81.362) Epoch: [60][10080/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.6589 (1.8399) Prec@1 54.375 (51.643) Prec@5 85.625 (81.364) Epoch: [60][10090/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 1.9687 (1.8398) Prec@1 47.500 (51.644) Prec@5 82.500 (81.366) Epoch: [60][10100/11272] Time 0.747 (0.794) Data 0.001 (0.002) Loss 1.6298 (1.8397) Prec@1 57.500 (51.646) Prec@5 85.625 (81.367) Epoch: [60][10110/11272] Time 0.803 (0.794) Data 0.002 (0.002) Loss 1.8976 (1.8396) Prec@1 48.750 (51.647) Prec@5 83.125 (81.369) Epoch: [60][10120/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 2.0387 (1.8397) Prec@1 46.250 (51.646) Prec@5 75.625 (81.367) Epoch: [60][10130/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 1.7790 (1.8396) Prec@1 54.375 (51.648) Prec@5 80.000 (81.368) Epoch: [60][10140/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.8960 (1.8397) Prec@1 47.500 (51.646) Prec@5 85.000 (81.368) Epoch: [60][10150/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 2.0383 (1.8397) Prec@1 48.125 (51.645) Prec@5 76.875 (81.368) Epoch: [60][10160/11272] Time 0.940 (0.794) Data 0.002 (0.002) Loss 1.9464 (1.8397) Prec@1 50.625 (51.645) Prec@5 82.500 (81.368) Epoch: [60][10170/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.5797 (1.8396) Prec@1 58.125 (51.646) Prec@5 85.000 (81.369) Epoch: [60][10180/11272] Time 0.757 (0.794) Data 0.002 (0.002) Loss 1.5582 (1.8396) Prec@1 59.375 (51.647) Prec@5 87.500 (81.369) Epoch: [60][10190/11272] Time 0.809 (0.794) Data 0.001 (0.002) Loss 1.8970 (1.8396) Prec@1 52.500 (51.648) Prec@5 81.875 (81.370) Epoch: [60][10200/11272] Time 0.808 (0.794) Data 0.002 (0.002) Loss 1.8024 (1.8395) Prec@1 48.750 (51.649) Prec@5 83.125 (81.373) Epoch: [60][10210/11272] Time 0.830 (0.794) Data 0.001 (0.002) Loss 1.7603 (1.8395) Prec@1 50.625 (51.649) Prec@5 80.625 (81.373) Epoch: [60][10220/11272] Time 0.715 (0.794) Data 0.002 (0.002) Loss 1.7378 (1.8394) Prec@1 54.375 (51.652) Prec@5 80.625 (81.374) Epoch: [60][10230/11272] Time 0.888 (0.794) Data 0.002 (0.002) Loss 1.7953 (1.8394) Prec@1 51.250 (51.653) Prec@5 80.625 (81.373) Epoch: [60][10240/11272] Time 0.874 (0.794) Data 0.001 (0.002) Loss 1.9291 (1.8394) Prec@1 56.250 (51.654) Prec@5 76.250 (81.373) Epoch: [60][10250/11272] Time 0.735 (0.794) Data 0.002 (0.002) Loss 1.8961 (1.8393) Prec@1 49.375 (51.655) Prec@5 76.875 (81.373) Epoch: [60][10260/11272] Time 0.770 (0.794) Data 0.002 (0.002) Loss 1.7898 (1.8393) Prec@1 55.000 (51.656) Prec@5 80.000 (81.374) Epoch: [60][10270/11272] Time 0.850 (0.794) Data 0.002 (0.002) Loss 1.5914 (1.8393) Prec@1 55.000 (51.657) Prec@5 88.125 (81.375) Epoch: [60][10280/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 1.8480 (1.8392) Prec@1 51.250 (51.658) Prec@5 80.000 (81.376) Epoch: [60][10290/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 1.7835 (1.8392) Prec@1 50.000 (51.659) Prec@5 83.125 (81.378) Epoch: [60][10300/11272] Time 0.747 (0.794) Data 0.002 (0.002) Loss 1.8725 (1.8392) Prec@1 53.750 (51.660) Prec@5 81.250 (81.378) Epoch: [60][10310/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.9364 (1.8391) Prec@1 46.250 (51.662) Prec@5 80.000 (81.380) Epoch: [60][10320/11272] Time 0.819 (0.795) Data 0.001 (0.002) Loss 1.7845 (1.8391) Prec@1 53.750 (51.663) Prec@5 83.750 (81.382) Epoch: [60][10330/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.8157 (1.8390) Prec@1 47.500 (51.663) Prec@5 83.125 (81.382) Epoch: [60][10340/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 2.0028 (1.8391) Prec@1 50.000 (51.664) Prec@5 78.125 (81.381) Epoch: [60][10350/11272] Time 0.867 (0.795) Data 0.002 (0.002) Loss 1.6156 (1.8390) Prec@1 58.125 (51.667) Prec@5 85.625 (81.382) Epoch: [60][10360/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.6962 (1.8390) Prec@1 57.500 (51.667) Prec@5 85.000 (81.383) Epoch: [60][10370/11272] Time 0.762 (0.795) Data 0.002 (0.002) Loss 1.4911 (1.8389) Prec@1 56.875 (51.668) Prec@5 90.000 (81.385) Epoch: [60][10380/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 1.6616 (1.8388) Prec@1 56.875 (51.669) Prec@5 83.125 (81.384) Epoch: [60][10390/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 2.0396 (1.8389) Prec@1 52.500 (51.669) Prec@5 78.125 (81.383) Epoch: [60][10400/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.6290 (1.8388) Prec@1 53.125 (51.671) Prec@5 83.125 (81.385) Epoch: [60][10410/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.7719 (1.8388) Prec@1 47.500 (51.669) Prec@5 85.625 (81.385) Epoch: [60][10420/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.9102 (1.8388) Prec@1 48.125 (51.671) Prec@5 81.875 (81.386) Epoch: [60][10430/11272] Time 0.907 (0.795) Data 0.002 (0.002) Loss 2.0438 (1.8388) Prec@1 48.125 (51.670) Prec@5 78.750 (81.385) Epoch: [60][10440/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.5460 (1.8387) Prec@1 56.250 (51.672) Prec@5 87.500 (81.387) Epoch: [60][10450/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.6506 (1.8386) Prec@1 53.750 (51.675) Prec@5 85.625 (81.388) Epoch: [60][10460/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.8349 (1.8386) Prec@1 50.000 (51.676) Prec@5 83.125 (81.390) Epoch: [60][10470/11272] Time 0.869 (0.795) Data 0.002 (0.002) Loss 1.9351 (1.8386) Prec@1 55.625 (51.677) Prec@5 81.250 (81.389) Epoch: [60][10480/11272] Time 0.732 (0.795) Data 0.002 (0.002) Loss 1.8068 (1.8385) Prec@1 46.250 (51.679) Prec@5 81.875 (81.390) Epoch: [60][10490/11272] Time 0.827 (0.795) Data 0.002 (0.002) Loss 1.8705 (1.8385) Prec@1 53.750 (51.680) Prec@5 79.375 (81.390) Epoch: [60][10500/11272] Time 0.852 (0.795) Data 0.002 (0.002) Loss 1.8466 (1.8384) Prec@1 48.125 (51.681) Prec@5 85.625 (81.391) Epoch: [60][10510/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.7782 (1.8384) Prec@1 51.250 (51.682) Prec@5 85.625 (81.393) Epoch: [60][10520/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.7355 (1.8383) Prec@1 55.625 (51.684) Prec@5 83.125 (81.394) Epoch: [60][10530/11272] Time 0.852 (0.795) Data 0.001 (0.002) Loss 1.8811 (1.8382) Prec@1 51.875 (51.687) Prec@5 83.750 (81.396) Epoch: [60][10540/11272] Time 0.826 (0.795) Data 0.002 (0.002) Loss 1.8642 (1.8383) Prec@1 54.375 (51.687) Prec@5 81.250 (81.395) Epoch: [60][10550/11272] Time 0.724 (0.795) Data 0.002 (0.002) Loss 1.7364 (1.8383) Prec@1 55.000 (51.686) Prec@5 82.500 (81.394) Epoch: [60][10560/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 1.9268 (1.8384) Prec@1 50.625 (51.684) Prec@5 81.875 (81.393) Epoch: [60][10570/11272] Time 0.832 (0.795) Data 0.002 (0.002) Loss 1.8713 (1.8384) Prec@1 49.375 (51.684) Prec@5 78.125 (81.392) Epoch: [60][10580/11272] Time 0.874 (0.795) Data 0.002 (0.002) Loss 1.8020 (1.8383) Prec@1 53.750 (51.686) Prec@5 83.125 (81.392) Epoch: [60][10590/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.7560 (1.8383) Prec@1 55.000 (51.685) Prec@5 83.750 (81.392) Epoch: [60][10600/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.7539 (1.8383) Prec@1 53.125 (51.687) Prec@5 83.750 (81.391) Epoch: [60][10610/11272] Time 0.876 (0.795) Data 0.001 (0.002) Loss 1.7188 (1.8382) Prec@1 51.875 (51.687) Prec@5 84.375 (81.392) Epoch: [60][10620/11272] Time 0.740 (0.795) Data 0.003 (0.002) Loss 1.7261 (1.8382) Prec@1 55.000 (51.689) Prec@5 81.250 (81.393) Epoch: [60][10630/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 2.0642 (1.8382) Prec@1 48.125 (51.690) Prec@5 78.125 (81.394) Epoch: [60][10640/11272] Time 0.867 (0.795) Data 0.002 (0.002) Loss 1.7656 (1.8382) Prec@1 51.875 (51.688) Prec@5 84.375 (81.393) Epoch: [60][10650/11272] Time 0.877 (0.795) Data 0.002 (0.002) Loss 1.7536 (1.8381) Prec@1 52.500 (51.691) Prec@5 81.875 (81.394) Epoch: [60][10660/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.9754 (1.8381) Prec@1 46.875 (51.692) Prec@5 83.125 (81.395) Epoch: [60][10670/11272] Time 0.774 (0.795) Data 0.002 (0.002) Loss 1.8645 (1.8381) Prec@1 50.625 (51.693) Prec@5 81.250 (81.395) Epoch: [60][10680/11272] Time 0.874 (0.795) Data 0.002 (0.002) Loss 2.0221 (1.8380) Prec@1 46.250 (51.695) Prec@5 75.000 (81.396) Epoch: [60][10690/11272] Time 0.937 (0.795) Data 0.001 (0.002) Loss 1.7799 (1.8380) Prec@1 53.125 (51.695) Prec@5 84.375 (81.398) Epoch: [60][10700/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.9771 (1.8380) Prec@1 47.500 (51.695) Prec@5 77.500 (81.397) Epoch: [60][10710/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.7526 (1.8379) Prec@1 51.875 (51.696) Prec@5 83.750 (81.399) Epoch: [60][10720/11272] Time 0.842 (0.795) Data 0.002 (0.002) Loss 2.1634 (1.8379) Prec@1 41.875 (51.695) Prec@5 80.625 (81.400) Epoch: [60][10730/11272] Time 0.870 (0.795) Data 0.001 (0.002) Loss 1.9158 (1.8379) Prec@1 51.250 (51.695) Prec@5 79.375 (81.401) Epoch: [60][10740/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.8973 (1.8379) Prec@1 46.250 (51.695) Prec@5 81.250 (81.402) Epoch: [60][10750/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.9128 (1.8379) Prec@1 46.875 (51.696) Prec@5 79.375 (81.401) Epoch: [60][10760/11272] Time 0.862 (0.795) Data 0.001 (0.002) Loss 1.5672 (1.8378) Prec@1 60.000 (51.698) Prec@5 86.250 (81.403) Epoch: [60][10770/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.8593 (1.8378) Prec@1 50.000 (51.699) Prec@5 83.750 (81.404) Epoch: [60][10780/11272] Time 0.706 (0.795) Data 0.002 (0.002) Loss 1.9134 (1.8378) Prec@1 45.000 (51.699) Prec@5 79.375 (81.404) Epoch: [60][10790/11272] Time 0.886 (0.795) Data 0.002 (0.002) Loss 1.7821 (1.8377) Prec@1 53.750 (51.701) Prec@5 81.875 (81.405) Epoch: [60][10800/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 2.0681 (1.8377) Prec@1 50.625 (51.701) Prec@5 75.000 (81.404) Epoch: [60][10810/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.6614 (1.8377) Prec@1 58.125 (51.703) Prec@5 83.125 (81.404) Epoch: [60][10820/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 1.8291 (1.8376) Prec@1 52.500 (51.705) Prec@5 84.375 (81.407) Epoch: [60][10830/11272] Time 0.926 (0.795) Data 0.001 (0.002) Loss 1.8353 (1.8376) Prec@1 50.625 (51.707) Prec@5 80.000 (81.406) Epoch: [60][10840/11272] Time 0.834 (0.795) Data 0.002 (0.002) Loss 1.8194 (1.8376) Prec@1 55.625 (51.706) Prec@5 80.625 (81.406) Epoch: [60][10850/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 1.4937 (1.8375) Prec@1 65.625 (51.707) Prec@5 85.000 (81.407) Epoch: [60][10860/11272] Time 0.746 (0.795) Data 0.002 (0.002) Loss 1.8803 (1.8375) Prec@1 52.500 (51.707) Prec@5 81.250 (81.407) Epoch: [60][10870/11272] Time 0.864 (0.795) Data 0.002 (0.002) Loss 1.7751 (1.8375) Prec@1 55.000 (51.706) Prec@5 80.625 (81.407) Epoch: [60][10880/11272] Time 0.719 (0.795) Data 0.004 (0.002) Loss 2.0735 (1.8375) Prec@1 45.625 (51.705) Prec@5 77.500 (81.407) Epoch: [60][10890/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.7372 (1.8374) Prec@1 51.250 (51.706) Prec@5 85.625 (81.409) Epoch: [60][10900/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.7679 (1.8374) Prec@1 51.875 (51.707) Prec@5 83.125 (81.410) Epoch: [60][10910/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 1.7447 (1.8374) Prec@1 51.250 (51.708) Prec@5 81.875 (81.408) Epoch: [60][10920/11272] Time 0.740 (0.795) Data 0.002 (0.002) Loss 1.7259 (1.8374) Prec@1 49.375 (51.708) Prec@5 85.000 (81.408) Epoch: [60][10930/11272] Time 0.753 (0.795) Data 0.002 (0.002) Loss 1.8784 (1.8374) Prec@1 55.625 (51.708) Prec@5 76.250 (81.407) Epoch: [60][10940/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.8262 (1.8374) Prec@1 51.250 (51.709) Prec@5 81.250 (81.408) Epoch: [60][10950/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.8470 (1.8373) Prec@1 51.250 (51.711) Prec@5 81.875 (81.409) Epoch: [60][10960/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 1.9712 (1.8373) Prec@1 49.375 (51.710) Prec@5 81.250 (81.408) Epoch: [60][10970/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 1.6138 (1.8373) Prec@1 55.625 (51.709) Prec@5 85.000 (81.408) Epoch: [60][10980/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 1.8351 (1.8373) Prec@1 48.750 (51.709) Prec@5 84.375 (81.408) Epoch: [60][10990/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 1.9513 (1.8373) Prec@1 48.750 (51.709) Prec@5 80.625 (81.409) Epoch: [60][11000/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.8142 (1.8373) Prec@1 51.250 (51.708) Prec@5 81.250 (81.409) Epoch: [60][11010/11272] Time 0.884 (0.795) Data 0.002 (0.002) Loss 1.6196 (1.8373) Prec@1 54.375 (51.711) Prec@5 86.250 (81.409) Epoch: [60][11020/11272] Time 0.890 (0.795) Data 0.002 (0.002) Loss 1.7747 (1.8372) Prec@1 51.250 (51.711) Prec@5 81.250 (81.409) Epoch: [60][11030/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.7541 (1.8372) Prec@1 54.375 (51.713) Prec@5 84.375 (81.411) Epoch: [60][11040/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.7751 (1.8371) Prec@1 52.500 (51.715) Prec@5 84.375 (81.411) Epoch: [60][11050/11272] Time 0.877 (0.795) Data 0.002 (0.002) Loss 1.9166 (1.8371) Prec@1 51.875 (51.718) Prec@5 78.125 (81.412) Epoch: [60][11060/11272] Time 0.876 (0.795) Data 0.001 (0.002) Loss 1.7870 (1.8371) Prec@1 51.875 (51.719) Prec@5 80.625 (81.411) Epoch: [60][11070/11272] Time 0.715 (0.795) Data 0.001 (0.002) Loss 1.8708 (1.8370) Prec@1 48.750 (51.720) Prec@5 80.000 (81.412) Epoch: [60][11080/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.7020 (1.8370) Prec@1 51.875 (51.720) Prec@5 83.750 (81.413) Epoch: [60][11090/11272] Time 0.806 (0.795) Data 0.001 (0.002) Loss 1.6035 (1.8370) Prec@1 62.500 (51.721) Prec@5 83.750 (81.412) Epoch: [60][11100/11272] Time 0.816 (0.795) Data 0.001 (0.002) Loss 1.7256 (1.8369) Prec@1 56.875 (51.722) Prec@5 80.625 (81.413) Epoch: [60][11110/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.8557 (1.8369) Prec@1 48.750 (51.723) Prec@5 79.375 (81.414) Epoch: [60][11120/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.6549 (1.8368) Prec@1 58.750 (51.725) Prec@5 85.625 (81.416) Epoch: [60][11130/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.7478 (1.8368) Prec@1 57.500 (51.725) Prec@5 78.750 (81.415) Epoch: [60][11140/11272] Time 0.828 (0.795) Data 0.002 (0.002) Loss 1.8562 (1.8368) Prec@1 51.875 (51.725) Prec@5 81.875 (81.415) Epoch: [60][11150/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.7868 (1.8367) Prec@1 48.750 (51.727) Prec@5 81.875 (81.416) Epoch: [60][11160/11272] Time 0.862 (0.795) Data 0.001 (0.002) Loss 1.8797 (1.8366) Prec@1 51.250 (51.728) Prec@5 78.125 (81.418) Epoch: [60][11170/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 1.9562 (1.8367) Prec@1 53.125 (51.726) Prec@5 75.625 (81.416) Epoch: [60][11180/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 2.0059 (1.8367) Prec@1 46.875 (51.727) Prec@5 76.250 (81.415) Epoch: [60][11190/11272] Time 0.756 (0.795) Data 0.002 (0.002) Loss 1.7030 (1.8367) Prec@1 47.500 (51.727) Prec@5 86.250 (81.417) Epoch: [60][11200/11272] Time 0.922 (0.795) Data 0.002 (0.002) Loss 1.7116 (1.8366) Prec@1 57.500 (51.729) Prec@5 80.000 (81.417) Epoch: [60][11210/11272] Time 0.875 (0.795) Data 0.001 (0.002) Loss 1.6357 (1.8366) Prec@1 53.750 (51.729) Prec@5 85.000 (81.417) Epoch: [60][11220/11272] Time 0.765 (0.795) Data 0.001 (0.002) Loss 1.7735 (1.8366) Prec@1 50.000 (51.729) Prec@5 85.000 (81.416) Epoch: [60][11230/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 1.6520 (1.8365) Prec@1 55.625 (51.731) Prec@5 84.375 (81.418) Epoch: [60][11240/11272] Time 0.879 (0.795) Data 0.002 (0.002) Loss 1.6572 (1.8364) Prec@1 55.625 (51.734) Prec@5 85.000 (81.419) Epoch: [60][11250/11272] Time 0.839 (0.795) Data 0.001 (0.002) Loss 1.8472 (1.8364) Prec@1 53.125 (51.735) Prec@5 83.125 (81.418) Epoch: [60][11260/11272] Time 0.718 (0.795) Data 0.002 (0.002) Loss 1.9319 (1.8364) Prec@1 50.625 (51.736) Prec@5 78.750 (81.419) Epoch: [60][11270/11272] Time 0.723 (0.795) Data 0.000 (0.002) Loss 1.4675 (1.8364) Prec@1 58.750 (51.737) Prec@5 86.875 (81.418) Test: [0/229] Time 2.579 (2.579) Loss 1.1480 (1.1480) Prec@1 61.250 (61.250) Prec@5 95.000 (95.000) Test: [10/229] Time 0.298 (0.581) Loss 1.0691 (1.5724) Prec@1 67.500 (56.875) Prec@5 96.875 (87.557) Test: [20/229] Time 0.531 (0.508) Loss 2.0047 (1.6424) Prec@1 50.000 (54.464) Prec@5 82.500 (86.726) Test: [30/229] Time 0.349 (0.470) Loss 2.0212 (1.5805) Prec@1 48.125 (56.956) Prec@5 85.625 (87.339) Test: [40/229] Time 0.516 (0.455) Loss 0.4687 (1.5765) Prec@1 88.125 (57.088) Prec@5 95.625 (87.210) Test: [50/229] Time 0.359 (0.442) Loss 2.0936 (1.6267) Prec@1 40.000 (56.066) Prec@5 83.750 (85.956) Test: [60/229] Time 0.534 (0.442) Loss 2.1042 (1.6209) Prec@1 45.000 (56.076) Prec@5 79.375 (85.973) Test: [70/229] Time 0.382 (0.437) Loss 1.2574 (1.6308) Prec@1 70.000 (55.898) Prec@5 86.875 (85.854) Test: [80/229] Time 0.353 (0.432) Loss 2.1085 (1.6484) Prec@1 40.000 (55.177) Prec@5 84.375 (85.826) Test: [90/229] Time 0.401 (0.430) Loss 1.1115 (1.6545) Prec@1 75.625 (54.993) Prec@5 88.750 (85.852) Test: [100/229] Time 0.457 (0.428) Loss 2.1029 (1.6490) Prec@1 50.000 (55.340) Prec@5 84.375 (85.866) Test: [110/229] Time 0.457 (0.427) Loss 1.3685 (1.6305) Prec@1 61.250 (55.676) Prec@5 86.250 (86.075) Test: [120/229] Time 0.420 (0.425) Loss 2.5969 (1.6476) Prec@1 36.250 (55.186) Prec@5 76.875 (85.852) Test: [130/229] Time 0.313 (0.424) Loss 1.1433 (1.6301) Prec@1 61.250 (55.549) Prec@5 94.375 (86.064) Test: [140/229] Time 0.464 (0.426) Loss 1.7837 (1.6421) Prec@1 53.750 (55.235) Prec@5 87.500 (86.002) Test: [150/229] Time 0.330 (0.425) Loss 1.0130 (1.6576) Prec@1 75.625 (54.793) Prec@5 88.750 (85.778) Test: [160/229] Time 0.658 (0.426) Loss 1.7110 (1.6607) Prec@1 59.375 (54.604) Prec@5 86.875 (85.788) Test: [170/229] Time 0.306 (0.424) Loss 1.6493 (1.6706) Prec@1 55.625 (54.247) Prec@5 88.750 (85.658) Test: [180/229] Time 0.813 (0.425) Loss 2.3942 (1.6786) Prec@1 35.625 (54.157) Prec@5 70.625 (85.428) Test: [190/229] Time 0.436 (0.425) Loss 1.3566 (1.6674) Prec@1 61.875 (54.522) Prec@5 90.625 (85.533) Test: [200/229] Time 0.501 (0.424) Loss 1.6759 (1.6605) Prec@1 51.250 (54.586) Prec@5 83.750 (85.693) Test: [210/229] Time 0.395 (0.423) Loss 1.1721 (1.6499) Prec@1 60.000 (54.944) Prec@5 93.750 (85.835) Test: [220/229] Time 0.423 (0.422) Loss 1.4089 (1.6408) Prec@1 63.125 (55.291) Prec@5 90.000 (85.894) * Prec@1 55.581 Prec@5 85.941 Epoch: [61][0/11272] Time 3.847 (3.847) Data 3.025 (3.025) Loss 1.5826 (1.5826) Prec@1 56.875 (56.875) Prec@5 83.750 (83.750) Epoch: [61][10/11272] Time 0.859 (1.087) Data 0.001 (0.276) Loss 1.9917 (1.8175) Prec@1 50.625 (52.045) Prec@5 77.500 (81.761) Epoch: [61][20/11272] Time 0.856 (0.958) Data 0.001 (0.146) Loss 2.0196 (1.8162) Prec@1 47.500 (51.637) Prec@5 84.375 (82.381) Epoch: [61][30/11272] Time 0.776 (0.905) Data 0.004 (0.099) Loss 1.7351 (1.8101) Prec@1 49.375 (51.774) Prec@5 83.125 (82.278) Epoch: [61][40/11272] Time 0.738 (0.883) Data 0.002 (0.075) Loss 1.8894 (1.8106) Prec@1 48.750 (52.027) Prec@5 80.625 (82.195) Epoch: [61][50/11272] Time 0.882 (0.872) Data 0.001 (0.061) Loss 1.8133 (1.8024) Prec@1 48.125 (52.512) Prec@5 82.500 (82.414) Epoch: [61][60/11272] Time 0.804 (0.861) Data 0.002 (0.051) Loss 1.7651 (1.8061) Prec@1 48.750 (52.305) Prec@5 79.375 (82.111) Epoch: [61][70/11272] Time 0.779 (0.855) Data 0.001 (0.044) Loss 1.8130 (1.7997) Prec@1 53.750 (52.377) Prec@5 83.750 (82.262) Epoch: [61][80/11272] Time 0.870 (0.849) Data 0.002 (0.039) Loss 1.8306 (1.7984) Prec@1 48.125 (52.253) Prec@5 83.125 (82.330) Epoch: [61][90/11272] Time 0.910 (0.846) Data 0.002 (0.035) Loss 1.9914 (1.8004) Prec@1 51.875 (52.129) Prec@5 78.750 (82.370) Epoch: [61][100/11272] Time 0.737 (0.842) Data 0.001 (0.032) Loss 1.8723 (1.7994) Prec@1 47.500 (52.036) Prec@5 81.875 (82.450) Epoch: [61][110/11272] Time 0.745 (0.839) Data 0.002 (0.029) Loss 1.6850 (1.7983) Prec@1 58.125 (52.145) Prec@5 85.625 (82.489) Epoch: [61][120/11272] Time 0.886 (0.837) Data 0.002 (0.027) Loss 1.5598 (1.7937) Prec@1 60.625 (52.397) Prec@5 84.375 (82.521) Epoch: [61][130/11272] Time 0.841 (0.835) Data 0.002 (0.025) Loss 1.6479 (1.7889) Prec@1 55.625 (52.643) Prec@5 85.625 (82.591) Epoch: [61][140/11272] Time 0.752 (0.833) Data 0.002 (0.023) Loss 1.7667 (1.7868) Prec@1 50.625 (52.717) Prec@5 83.125 (82.589) Epoch: [61][150/11272] Time 0.745 (0.832) Data 0.002 (0.022) Loss 1.5772 (1.7829) Prec@1 56.250 (52.823) Prec@5 88.125 (82.628) Epoch: [61][160/11272] Time 0.858 (0.831) Data 0.001 (0.021) Loss 1.8460 (1.7857) Prec@1 46.250 (52.803) Prec@5 85.625 (82.512) Epoch: [61][170/11272] Time 0.868 (0.830) Data 0.001 (0.019) Loss 1.9916 (1.7891) Prec@1 48.750 (52.705) Prec@5 76.875 (82.456) Epoch: [61][180/11272] Time 0.736 (0.829) Data 0.002 (0.018) Loss 1.7019 (1.7891) Prec@1 50.000 (52.686) Prec@5 83.125 (82.462) Epoch: [61][190/11272] Time 0.736 (0.828) Data 0.002 (0.018) Loss 1.7390 (1.7871) Prec@1 50.000 (52.723) Prec@5 86.250 (82.490) Epoch: [61][200/11272] Time 0.975 (0.828) Data 0.002 (0.017) Loss 1.6664 (1.7895) Prec@1 57.500 (52.643) Prec@5 84.375 (82.435) Epoch: [61][210/11272] Time 0.717 (0.826) Data 0.003 (0.016) Loss 2.0409 (1.7928) Prec@1 51.875 (52.601) Prec@5 78.750 (82.370) Epoch: [61][220/11272] Time 0.727 (0.826) Data 0.002 (0.015) Loss 1.7828 (1.7923) Prec@1 56.875 (52.582) Prec@5 80.625 (82.359) Epoch: [61][230/11272] Time 0.858 (0.826) Data 0.002 (0.015) Loss 1.8862 (1.7932) Prec@1 53.750 (52.541) Prec@5 79.375 (82.294) Epoch: [61][240/11272] Time 0.946 (0.825) Data 0.002 (0.014) Loss 1.9280 (1.7900) Prec@1 48.125 (52.617) Prec@5 78.750 (82.357) Epoch: [61][250/11272] Time 0.704 (0.825) Data 0.001 (0.014) Loss 1.7165 (1.7903) Prec@1 56.250 (52.572) Prec@5 81.250 (82.333) Epoch: [61][260/11272] Time 0.728 (0.825) Data 0.002 (0.013) Loss 1.9255 (1.7896) Prec@1 47.500 (52.596) Prec@5 82.500 (82.316) Epoch: [61][270/11272] Time 0.873 (0.824) Data 0.002 (0.013) Loss 1.6768 (1.7908) Prec@1 51.875 (52.571) Prec@5 85.000 (82.274) Epoch: [61][280/11272] Time 0.864 (0.823) Data 0.002 (0.013) Loss 1.6363 (1.7925) Prec@1 55.625 (52.489) Prec@5 84.375 (82.273) Epoch: [61][290/11272] Time 0.755 (0.823) Data 0.002 (0.012) Loss 1.6097 (1.7934) Prec@1 51.250 (52.438) Prec@5 88.125 (82.270) Epoch: [61][300/11272] Time 0.750 (0.822) Data 0.001 (0.012) Loss 1.6722 (1.7913) Prec@1 54.375 (52.473) Prec@5 83.125 (82.290) Epoch: [61][310/11272] Time 0.948 (0.821) Data 0.002 (0.011) Loss 1.9130 (1.7895) Prec@1 48.125 (52.468) Prec@5 83.125 (82.375) Epoch: [61][320/11272] Time 0.829 (0.820) Data 0.001 (0.011) Loss 1.5929 (1.7884) Prec@1 56.250 (52.527) Prec@5 85.625 (82.379) Epoch: [61][330/11272] Time 0.747 (0.819) Data 0.002 (0.011) Loss 1.8484 (1.7917) Prec@1 50.625 (52.483) Prec@5 80.625 (82.345) Epoch: [61][340/11272] Time 0.893 (0.819) Data 0.001 (0.011) Loss 2.0638 (1.7932) Prec@1 45.625 (52.445) Prec@5 81.250 (82.320) Epoch: [61][350/11272] Time 0.831 (0.818) Data 0.001 (0.010) Loss 1.9615 (1.7936) Prec@1 50.625 (52.480) Prec@5 76.875 (82.301) Epoch: [61][360/11272] Time 0.761 (0.817) Data 0.002 (0.010) Loss 1.5707 (1.7921) Prec@1 58.125 (52.505) Prec@5 86.250 (82.332) Epoch: [61][370/11272] Time 0.740 (0.817) Data 0.001 (0.010) Loss 1.8358 (1.7922) Prec@1 55.000 (52.545) Prec@5 76.250 (82.300) Epoch: [61][380/11272] Time 0.912 (0.817) Data 0.002 (0.010) Loss 1.6771 (1.7935) Prec@1 56.250 (52.513) Prec@5 82.500 (82.279) Epoch: [61][390/11272] Time 0.864 (0.817) Data 0.002 (0.009) Loss 1.8849 (1.7943) Prec@1 54.375 (52.498) Prec@5 81.250 (82.275) Epoch: [61][400/11272] Time 0.723 (0.816) Data 0.001 (0.009) Loss 1.6851 (1.7934) Prec@1 53.750 (52.520) Prec@5 82.500 (82.286) Epoch: [61][410/11272] Time 0.760 (0.815) Data 0.002 (0.009) Loss 1.6068 (1.7936) Prec@1 57.500 (52.532) Prec@5 83.750 (82.272) Epoch: [61][420/11272] Time 0.852 (0.814) Data 0.001 (0.009) Loss 1.8151 (1.7935) Prec@1 47.500 (52.533) Prec@5 83.750 (82.282) Epoch: [61][430/11272] Time 0.830 (0.814) Data 0.002 (0.009) Loss 1.8395 (1.7922) Prec@1 53.125 (52.599) Prec@5 80.625 (82.298) Epoch: [61][440/11272] Time 0.774 (0.814) Data 0.002 (0.009) Loss 1.6602 (1.7920) Prec@1 58.125 (52.609) Prec@5 85.625 (82.286) Epoch: [61][450/11272] Time 0.735 (0.813) Data 0.001 (0.008) Loss 1.6910 (1.7925) Prec@1 56.875 (52.615) Prec@5 83.750 (82.270) Epoch: [61][460/11272] Time 0.832 (0.813) Data 0.001 (0.008) Loss 1.8774 (1.7934) Prec@1 47.500 (52.619) Prec@5 79.375 (82.221) Epoch: [61][470/11272] Time 0.795 (0.812) Data 0.001 (0.008) Loss 2.1319 (1.7939) Prec@1 47.500 (52.625) Prec@5 75.000 (82.204) Epoch: [61][480/11272] Time 0.728 (0.812) Data 0.001 (0.008) Loss 1.5374 (1.7938) Prec@1 59.375 (52.614) Prec@5 83.750 (82.186) Epoch: [61][490/11272] Time 0.873 (0.811) Data 0.001 (0.008) Loss 1.8243 (1.7924) Prec@1 54.375 (52.654) Prec@5 82.500 (82.198) Epoch: [61][500/11272] Time 0.840 (0.811) Data 0.001 (0.008) Loss 2.1043 (1.7920) Prec@1 46.250 (52.657) Prec@5 75.000 (82.204) Epoch: [61][510/11272] Time 0.744 (0.810) Data 0.002 (0.008) Loss 1.7781 (1.7918) Prec@1 53.125 (52.644) Prec@5 83.750 (82.193) Epoch: [61][520/11272] Time 0.770 (0.810) Data 0.001 (0.008) Loss 1.9051 (1.7917) Prec@1 49.375 (52.644) Prec@5 78.125 (82.194) Epoch: [61][530/11272] Time 0.910 (0.810) Data 0.001 (0.007) Loss 1.7830 (1.7915) Prec@1 50.625 (52.647) Prec@5 79.375 (82.193) Epoch: [61][540/11272] Time 0.849 (0.809) Data 0.002 (0.007) Loss 1.6795 (1.7908) Prec@1 56.875 (52.671) Prec@5 82.500 (82.196) Epoch: [61][550/11272] Time 0.727 (0.809) Data 0.002 (0.007) Loss 1.8628 (1.7922) Prec@1 50.000 (52.643) Prec@5 79.375 (82.171) Epoch: [61][560/11272] Time 0.741 (0.809) Data 0.002 (0.007) Loss 1.7254 (1.7919) Prec@1 56.875 (52.654) Prec@5 83.125 (82.188) Epoch: [61][570/11272] Time 0.932 (0.809) Data 0.002 (0.007) Loss 1.7121 (1.7913) Prec@1 57.500 (52.681) Prec@5 80.625 (82.178) Epoch: [61][580/11272] Time 0.829 (0.809) Data 0.002 (0.007) Loss 1.9102 (1.7905) Prec@1 49.375 (52.691) Prec@5 83.750 (82.210) Epoch: [61][590/11272] Time 0.768 (0.808) Data 0.002 (0.007) Loss 1.7313 (1.7892) Prec@1 55.625 (52.722) Prec@5 83.750 (82.220) Epoch: [61][600/11272] Time 0.894 (0.809) Data 0.002 (0.007) Loss 1.8411 (1.7895) Prec@1 53.125 (52.707) Prec@5 80.625 (82.210) Epoch: [61][610/11272] Time 0.910 (0.809) Data 0.002 (0.007) Loss 1.7796 (1.7881) Prec@1 54.375 (52.737) Prec@5 85.000 (82.231) Epoch: [61][620/11272] Time 0.763 (0.809) Data 0.002 (0.007) Loss 1.7675 (1.7890) Prec@1 53.125 (52.724) Prec@5 83.750 (82.206) Epoch: [61][630/11272] Time 0.724 (0.809) Data 0.002 (0.006) Loss 1.6220 (1.7871) Prec@1 58.125 (52.749) Prec@5 86.875 (82.240) Epoch: [61][640/11272] Time 0.864 (0.809) Data 0.002 (0.006) Loss 1.9699 (1.7874) Prec@1 52.500 (52.730) Prec@5 79.375 (82.253) Epoch: [61][650/11272] Time 0.871 (0.809) Data 0.002 (0.006) Loss 1.6450 (1.7874) Prec@1 51.875 (52.748) Prec@5 86.250 (82.265) Epoch: [61][660/11272] Time 0.734 (0.809) Data 0.002 (0.006) Loss 1.6809 (1.7875) Prec@1 56.250 (52.755) Prec@5 81.250 (82.269) Epoch: [61][670/11272] Time 0.737 (0.809) Data 0.002 (0.006) Loss 1.6840 (1.7865) Prec@1 48.125 (52.778) Prec@5 82.500 (82.277) Epoch: [61][680/11272] Time 0.854 (0.809) Data 0.002 (0.006) Loss 1.7780 (1.7872) Prec@1 55.625 (52.770) Prec@5 83.125 (82.260) Epoch: [61][690/11272] Time 0.844 (0.809) Data 0.002 (0.006) Loss 1.7933 (1.7870) Prec@1 53.750 (52.779) Prec@5 81.875 (82.260) Epoch: [61][700/11272] Time 0.742 (0.809) Data 0.002 (0.006) Loss 1.9981 (1.7875) Prec@1 46.250 (52.770) Prec@5 80.000 (82.241) Epoch: [61][710/11272] Time 0.716 (0.808) Data 0.001 (0.006) Loss 1.7912 (1.7859) Prec@1 53.125 (52.812) Prec@5 84.375 (82.273) Epoch: [61][720/11272] Time 0.814 (0.809) Data 0.002 (0.006) Loss 1.6219 (1.7859) Prec@1 55.625 (52.807) Prec@5 85.625 (82.279) Epoch: [61][730/11272] Time 0.814 (0.808) Data 0.002 (0.006) Loss 1.7994 (1.7858) Prec@1 51.875 (52.814) Prec@5 81.875 (82.279) Epoch: [61][740/11272] Time 0.754 (0.808) Data 0.002 (0.006) Loss 1.6207 (1.7859) Prec@1 60.000 (52.812) Prec@5 83.125 (82.287) Epoch: [61][750/11272] Time 0.851 (0.808) Data 0.002 (0.006) Loss 1.7751 (1.7859) Prec@1 53.750 (52.819) Prec@5 82.500 (82.291) Epoch: [61][760/11272] Time 0.828 (0.808) Data 0.002 (0.006) Loss 1.7054 (1.7866) Prec@1 52.500 (52.807) Prec@5 84.375 (82.276) Epoch: [61][770/11272] Time 0.793 (0.808) Data 0.002 (0.006) Loss 1.5696 (1.7876) Prec@1 60.000 (52.797) Prec@5 86.250 (82.253) Epoch: [61][780/11272] Time 0.749 (0.808) Data 0.002 (0.006) Loss 1.6389 (1.7866) Prec@1 56.250 (52.813) Prec@5 79.375 (82.274) Epoch: [61][790/11272] Time 0.845 (0.807) Data 0.001 (0.006) Loss 1.8528 (1.7870) Prec@1 49.375 (52.799) Prec@5 82.500 (82.260) Epoch: [61][800/11272] Time 0.869 (0.807) Data 0.002 (0.005) Loss 2.1070 (1.7871) Prec@1 47.500 (52.800) Prec@5 75.625 (82.244) Epoch: [61][810/11272] Time 0.736 (0.807) Data 0.001 (0.005) Loss 1.6826 (1.7872) Prec@1 57.500 (52.781) Prec@5 83.750 (82.231) Epoch: [61][820/11272] Time 0.728 (0.807) Data 0.002 (0.005) Loss 1.8762 (1.7871) Prec@1 53.750 (52.792) Prec@5 78.750 (82.236) Epoch: [61][830/11272] Time 0.821 (0.807) Data 0.002 (0.005) Loss 1.7903 (1.7864) Prec@1 49.375 (52.814) Prec@5 82.500 (82.250) Epoch: [61][840/11272] Time 0.836 (0.807) Data 0.001 (0.005) Loss 1.6215 (1.7856) Prec@1 56.250 (52.828) Prec@5 86.875 (82.261) Epoch: [61][850/11272] Time 0.769 (0.807) Data 0.002 (0.005) Loss 1.6571 (1.7852) Prec@1 55.625 (52.834) Prec@5 83.125 (82.264) Epoch: [61][860/11272] Time 0.825 (0.807) Data 0.002 (0.005) Loss 1.9400 (1.7850) Prec@1 51.875 (52.837) Prec@5 80.000 (82.270) Epoch: [61][870/11272] Time 0.859 (0.807) Data 0.002 (0.005) Loss 1.6347 (1.7847) Prec@1 55.625 (52.831) Prec@5 84.375 (82.273) Epoch: [61][880/11272] Time 0.767 (0.807) Data 0.001 (0.005) Loss 2.0695 (1.7850) Prec@1 43.750 (52.827) Prec@5 76.250 (82.263) Epoch: [61][890/11272] Time 0.722 (0.807) Data 0.002 (0.005) Loss 1.7238 (1.7844) Prec@1 53.125 (52.844) Prec@5 83.125 (82.274) Epoch: [61][900/11272] Time 0.849 (0.807) Data 0.002 (0.005) Loss 1.6545 (1.7843) Prec@1 53.750 (52.845) Prec@5 83.125 (82.274) Epoch: [61][910/11272] Time 0.863 (0.807) Data 0.001 (0.005) Loss 1.8563 (1.7834) Prec@1 54.375 (52.879) Prec@5 81.250 (82.292) Epoch: [61][920/11272] Time 0.734 (0.807) Data 0.002 (0.005) Loss 1.7848 (1.7840) Prec@1 50.625 (52.850) Prec@5 82.500 (82.275) Epoch: [61][930/11272] Time 0.736 (0.807) Data 0.002 (0.005) Loss 1.8115 (1.7844) Prec@1 55.000 (52.846) Prec@5 80.000 (82.268) Epoch: [61][940/11272] Time 0.849 (0.807) Data 0.002 (0.005) Loss 1.7356 (1.7837) Prec@1 51.875 (52.852) Prec@5 85.625 (82.291) Epoch: [61][950/11272] Time 0.876 (0.807) Data 0.001 (0.005) Loss 1.8011 (1.7836) Prec@1 52.500 (52.863) Prec@5 81.875 (82.290) Epoch: [61][960/11272] Time 0.747 (0.806) Data 0.002 (0.005) Loss 1.9921 (1.7836) Prec@1 45.625 (52.871) Prec@5 78.750 (82.290) Epoch: [61][970/11272] Time 0.762 (0.806) Data 0.002 (0.005) Loss 1.7860 (1.7837) Prec@1 53.125 (52.851) Prec@5 83.125 (82.293) Epoch: [61][980/11272] Time 0.904 (0.806) Data 0.002 (0.005) Loss 1.8657 (1.7838) Prec@1 53.750 (52.861) Prec@5 76.250 (82.277) Epoch: [61][990/11272] Time 0.845 (0.806) Data 0.001 (0.005) Loss 1.5795 (1.7836) Prec@1 56.250 (52.859) Prec@5 89.375 (82.285) Epoch: [61][1000/11272] Time 0.737 (0.806) Data 0.001 (0.005) Loss 1.6312 (1.7830) Prec@1 57.500 (52.874) Prec@5 85.000 (82.297) Epoch: [61][1010/11272] Time 0.839 (0.806) Data 0.002 (0.005) Loss 1.8770 (1.7835) Prec@1 48.125 (52.868) Prec@5 81.875 (82.287) Epoch: [61][1020/11272] Time 0.833 (0.806) Data 0.001 (0.005) Loss 1.7180 (1.7829) Prec@1 60.000 (52.870) Prec@5 83.125 (82.307) Epoch: [61][1030/11272] Time 0.752 (0.806) Data 0.002 (0.005) Loss 1.7506 (1.7829) Prec@1 53.125 (52.874) Prec@5 81.250 (82.315) Epoch: [61][1040/11272] Time 0.727 (0.806) Data 0.002 (0.005) Loss 1.7267 (1.7835) Prec@1 54.375 (52.863) Prec@5 83.750 (82.314) Epoch: [61][1050/11272] Time 0.871 (0.806) Data 0.001 (0.005) Loss 1.8022 (1.7837) Prec@1 52.500 (52.852) Prec@5 83.750 (82.317) Epoch: [61][1060/11272] Time 0.874 (0.806) Data 0.002 (0.005) Loss 1.8367 (1.7830) Prec@1 51.875 (52.859) Prec@5 82.500 (82.331) Epoch: [61][1070/11272] Time 0.747 (0.805) Data 0.002 (0.005) Loss 1.8640 (1.7834) Prec@1 48.750 (52.845) Prec@5 76.250 (82.323) Epoch: [61][1080/11272] Time 0.759 (0.805) Data 0.001 (0.004) Loss 1.9244 (1.7841) Prec@1 50.000 (52.826) Prec@5 78.125 (82.305) Epoch: [61][1090/11272] Time 0.847 (0.805) Data 0.001 (0.004) Loss 1.5962 (1.7839) Prec@1 58.125 (52.829) Prec@5 83.750 (82.304) Epoch: [61][1100/11272] Time 0.800 (0.805) Data 0.001 (0.004) Loss 1.9465 (1.7839) Prec@1 47.500 (52.823) Prec@5 78.125 (82.310) Epoch: [61][1110/11272] Time 0.744 (0.805) Data 0.002 (0.004) Loss 1.6924 (1.7837) Prec@1 53.125 (52.833) Prec@5 83.125 (82.314) Epoch: [61][1120/11272] Time 0.733 (0.805) Data 0.002 (0.004) Loss 1.6120 (1.7834) Prec@1 56.875 (52.850) Prec@5 83.750 (82.312) Epoch: [61][1130/11272] Time 0.831 (0.805) Data 0.002 (0.004) Loss 1.7811 (1.7829) Prec@1 51.250 (52.865) Prec@5 83.125 (82.323) Epoch: [61][1140/11272] Time 0.737 (0.805) Data 0.004 (0.004) Loss 1.7721 (1.7831) Prec@1 53.125 (52.860) Prec@5 83.125 (82.322) Epoch: [61][1150/11272] Time 0.731 (0.805) Data 0.002 (0.004) Loss 1.6137 (1.7822) Prec@1 58.125 (52.890) Prec@5 83.750 (82.335) Epoch: [61][1160/11272] Time 0.820 (0.805) Data 0.001 (0.004) Loss 1.5012 (1.7820) Prec@1 57.500 (52.901) Prec@5 86.250 (82.344) Epoch: [61][1170/11272] Time 0.875 (0.805) Data 0.002 (0.004) Loss 1.7397 (1.7821) Prec@1 53.125 (52.896) Prec@5 83.750 (82.348) Epoch: [61][1180/11272] Time 0.775 (0.805) Data 0.002 (0.004) Loss 1.6259 (1.7823) Prec@1 55.625 (52.891) Prec@5 83.125 (82.339) Epoch: [61][1190/11272] Time 0.727 (0.804) Data 0.002 (0.004) Loss 2.0124 (1.7830) Prec@1 46.250 (52.866) Prec@5 84.375 (82.328) Epoch: [61][1200/11272] Time 0.838 (0.805) Data 0.001 (0.004) Loss 1.9623 (1.7831) Prec@1 45.625 (52.862) Prec@5 78.750 (82.328) Epoch: [61][1210/11272] Time 0.804 (0.804) Data 0.002 (0.004) Loss 1.8602 (1.7833) Prec@1 50.625 (52.854) Prec@5 79.375 (82.324) Epoch: [61][1220/11272] Time 0.753 (0.804) Data 0.002 (0.004) Loss 1.6171 (1.7834) Prec@1 55.625 (52.852) Prec@5 85.000 (82.324) Epoch: [61][1230/11272] Time 0.727 (0.804) Data 0.002 (0.004) Loss 1.9024 (1.7836) Prec@1 51.875 (52.847) Prec@5 77.500 (82.318) Epoch: [61][1240/11272] Time 0.873 (0.804) Data 0.002 (0.004) Loss 1.5830 (1.7835) Prec@1 58.750 (52.851) Prec@5 85.625 (82.315) Epoch: [61][1250/11272] Time 0.891 (0.804) Data 0.001 (0.004) Loss 1.7533 (1.7840) Prec@1 46.250 (52.851) Prec@5 85.000 (82.301) Epoch: [61][1260/11272] Time 0.714 (0.804) Data 0.001 (0.004) Loss 1.7191 (1.7838) Prec@1 51.875 (52.855) Prec@5 83.125 (82.299) Epoch: [61][1270/11272] Time 0.833 (0.804) Data 0.002 (0.004) Loss 1.8465 (1.7836) Prec@1 50.625 (52.865) Prec@5 80.000 (82.298) Epoch: [61][1280/11272] Time 0.842 (0.804) Data 0.001 (0.004) Loss 2.0314 (1.7841) Prec@1 48.125 (52.864) Prec@5 75.000 (82.284) Epoch: [61][1290/11272] Time 0.759 (0.804) Data 0.001 (0.004) Loss 1.7138 (1.7848) Prec@1 54.375 (52.845) Prec@5 79.375 (82.279) Epoch: [61][1300/11272] Time 0.731 (0.804) Data 0.002 (0.004) Loss 1.9147 (1.7853) Prec@1 47.500 (52.838) Prec@5 81.250 (82.267) Epoch: [61][1310/11272] Time 0.817 (0.804) Data 0.001 (0.004) Loss 1.5859 (1.7850) Prec@1 60.000 (52.848) Prec@5 87.500 (82.268) Epoch: [61][1320/11272] Time 0.836 (0.804) Data 0.002 (0.004) Loss 1.9044 (1.7856) Prec@1 52.500 (52.835) Prec@5 78.125 (82.254) Epoch: [61][1330/11272] Time 0.734 (0.803) Data 0.002 (0.004) Loss 1.5498 (1.7851) Prec@1 54.375 (52.843) Prec@5 85.000 (82.257) Epoch: [61][1340/11272] Time 0.729 (0.803) Data 0.002 (0.004) Loss 1.8449 (1.7852) Prec@1 53.125 (52.839) Prec@5 79.375 (82.253) Epoch: [61][1350/11272] Time 0.827 (0.803) Data 0.001 (0.004) Loss 1.8448 (1.7854) Prec@1 50.625 (52.818) Prec@5 80.625 (82.253) Epoch: [61][1360/11272] Time 0.826 (0.803) Data 0.001 (0.004) Loss 1.7814 (1.7852) Prec@1 54.375 (52.827) Prec@5 86.250 (82.255) Epoch: [61][1370/11272] Time 0.728 (0.803) Data 0.002 (0.004) Loss 1.5030 (1.7847) Prec@1 53.750 (52.823) Prec@5 87.500 (82.269) Epoch: [61][1380/11272] Time 0.743 (0.803) Data 0.002 (0.004) Loss 1.7707 (1.7846) Prec@1 53.750 (52.822) Prec@5 85.625 (82.281) Epoch: [61][1390/11272] Time 0.853 (0.803) Data 0.001 (0.004) Loss 1.8128 (1.7850) Prec@1 50.000 (52.810) Prec@5 80.000 (82.273) Epoch: [61][1400/11272] Time 0.847 (0.804) Data 0.001 (0.004) Loss 1.7215 (1.7853) Prec@1 50.625 (52.801) Prec@5 85.625 (82.268) Epoch: [61][1410/11272] Time 0.765 (0.804) Data 0.002 (0.004) Loss 1.8286 (1.7854) Prec@1 48.750 (52.807) Prec@5 78.125 (82.262) Epoch: [61][1420/11272] Time 0.827 (0.804) Data 0.001 (0.004) Loss 1.9307 (1.7853) Prec@1 48.125 (52.810) Prec@5 80.000 (82.260) Epoch: [61][1430/11272] Time 0.885 (0.804) Data 0.002 (0.004) Loss 1.8085 (1.7851) Prec@1 53.750 (52.812) Prec@5 81.875 (82.262) Epoch: [61][1440/11272] Time 0.731 (0.804) Data 0.002 (0.004) Loss 1.6856 (1.7850) Prec@1 53.750 (52.821) Prec@5 84.375 (82.271) Epoch: [61][1450/11272] Time 0.733 (0.804) Data 0.002 (0.004) Loss 1.8070 (1.7851) Prec@1 54.375 (52.822) Prec@5 82.500 (82.269) Epoch: [61][1460/11272] Time 0.876 (0.804) Data 0.002 (0.004) Loss 1.7869 (1.7849) Prec@1 49.375 (52.821) Prec@5 83.750 (82.278) Epoch: [61][1470/11272] Time 0.847 (0.804) Data 0.002 (0.004) Loss 2.0774 (1.7851) Prec@1 48.125 (52.820) Prec@5 75.000 (82.269) Epoch: [61][1480/11272] Time 0.741 (0.804) Data 0.002 (0.004) Loss 1.6695 (1.7853) Prec@1 58.125 (52.819) Prec@5 83.750 (82.271) Epoch: [61][1490/11272] Time 0.751 (0.804) Data 0.002 (0.004) Loss 1.8776 (1.7854) Prec@1 48.125 (52.816) Prec@5 78.750 (82.265) Epoch: [61][1500/11272] Time 0.859 (0.804) Data 0.001 (0.004) Loss 1.9953 (1.7853) Prec@1 50.625 (52.826) Prec@5 78.125 (82.271) Epoch: [61][1510/11272] Time 0.871 (0.804) Data 0.002 (0.004) Loss 1.6809 (1.7852) Prec@1 56.250 (52.828) Prec@5 79.375 (82.269) Epoch: [61][1520/11272] Time 0.731 (0.804) Data 0.002 (0.004) Loss 1.8566 (1.7855) Prec@1 51.875 (52.832) Prec@5 81.875 (82.257) Epoch: [61][1530/11272] Time 0.749 (0.804) Data 0.002 (0.004) Loss 1.7112 (1.7854) Prec@1 60.000 (52.834) Prec@5 81.875 (82.257) Epoch: [61][1540/11272] Time 0.855 (0.804) Data 0.001 (0.004) Loss 1.8885 (1.7859) Prec@1 51.250 (52.818) Prec@5 78.125 (82.254) Epoch: [61][1550/11272] Time 0.754 (0.804) Data 0.001 (0.004) Loss 1.5883 (1.7860) Prec@1 58.125 (52.819) Prec@5 84.375 (82.247) Epoch: [61][1560/11272] Time 0.756 (0.804) Data 0.003 (0.004) Loss 1.7140 (1.7861) Prec@1 54.375 (52.808) Prec@5 83.125 (82.252) Epoch: [61][1570/11272] Time 0.874 (0.804) Data 0.002 (0.004) Loss 2.0243 (1.7861) Prec@1 49.375 (52.808) Prec@5 78.125 (82.254) Epoch: [61][1580/11272] Time 0.844 (0.804) Data 0.001 (0.004) Loss 1.9276 (1.7859) Prec@1 51.875 (52.813) Prec@5 80.000 (82.260) Epoch: [61][1590/11272] Time 0.728 (0.804) Data 0.002 (0.004) Loss 1.9722 (1.7858) Prec@1 51.250 (52.816) Prec@5 77.500 (82.265) Epoch: [61][1600/11272] Time 0.749 (0.804) Data 0.002 (0.004) Loss 1.9574 (1.7860) Prec@1 50.000 (52.807) Prec@5 78.125 (82.265) Epoch: [61][1610/11272] Time 0.828 (0.804) Data 0.001 (0.004) Loss 1.4870 (1.7860) Prec@1 54.375 (52.814) Prec@5 90.625 (82.267) Epoch: [61][1620/11272] Time 0.833 (0.804) Data 0.001 (0.004) Loss 1.6151 (1.7858) Prec@1 53.750 (52.818) Prec@5 88.750 (82.268) Epoch: [61][1630/11272] Time 0.727 (0.804) Data 0.002 (0.004) Loss 1.7466 (1.7862) Prec@1 55.000 (52.808) Prec@5 86.250 (82.260) Epoch: [61][1640/11272] Time 0.740 (0.804) Data 0.001 (0.004) Loss 1.4611 (1.7859) Prec@1 60.625 (52.818) Prec@5 90.000 (82.267) Epoch: [61][1650/11272] Time 0.905 (0.804) Data 0.002 (0.004) Loss 1.8557 (1.7862) Prec@1 53.750 (52.819) Prec@5 80.625 (82.264) Epoch: [61][1660/11272] Time 0.828 (0.804) Data 0.001 (0.004) Loss 1.8345 (1.7862) Prec@1 50.625 (52.820) Prec@5 80.625 (82.266) Epoch: [61][1670/11272] Time 0.752 (0.804) Data 0.002 (0.004) Loss 2.0249 (1.7864) Prec@1 47.500 (52.817) Prec@5 78.750 (82.260) Epoch: [61][1680/11272] Time 0.845 (0.804) Data 0.002 (0.003) Loss 1.6365 (1.7868) Prec@1 58.125 (52.809) Prec@5 84.375 (82.257) Epoch: [61][1690/11272] Time 0.894 (0.804) Data 0.001 (0.003) Loss 1.7691 (1.7863) Prec@1 56.875 (52.825) Prec@5 82.500 (82.269) Epoch: [61][1700/11272] Time 0.744 (0.804) Data 0.001 (0.003) Loss 1.6850 (1.7859) Prec@1 50.000 (52.828) Prec@5 88.125 (82.280) Epoch: [61][1710/11272] Time 0.753 (0.804) Data 0.002 (0.003) Loss 1.9292 (1.7862) Prec@1 49.375 (52.824) Prec@5 80.000 (82.278) Epoch: [61][1720/11272] Time 0.940 (0.804) Data 0.002 (0.003) Loss 1.7537 (1.7864) Prec@1 49.375 (52.809) Prec@5 80.625 (82.277) Epoch: [61][1730/11272] Time 0.840 (0.804) Data 0.002 (0.003) Loss 1.8211 (1.7862) Prec@1 55.000 (52.814) Prec@5 83.125 (82.281) Epoch: [61][1740/11272] Time 0.733 (0.804) Data 0.002 (0.003) Loss 1.7399 (1.7864) Prec@1 52.500 (52.809) Prec@5 85.000 (82.272) Epoch: [61][1750/11272] Time 0.736 (0.804) Data 0.002 (0.003) Loss 1.6573 (1.7863) Prec@1 55.625 (52.816) Prec@5 86.250 (82.274) Epoch: [61][1760/11272] Time 0.861 (0.804) Data 0.001 (0.003) Loss 2.0580 (1.7862) Prec@1 46.875 (52.810) Prec@5 78.750 (82.274) Epoch: [61][1770/11272] Time 0.897 (0.804) Data 0.002 (0.003) Loss 1.8968 (1.7865) Prec@1 53.125 (52.806) Prec@5 81.875 (82.269) Epoch: [61][1780/11272] Time 0.773 (0.804) Data 0.001 (0.003) Loss 1.7423 (1.7864) Prec@1 53.125 (52.807) Prec@5 86.250 (82.270) Epoch: [61][1790/11272] Time 0.745 (0.804) Data 0.001 (0.003) Loss 2.1136 (1.7864) Prec@1 46.250 (52.813) Prec@5 77.500 (82.265) Epoch: [61][1800/11272] Time 0.833 (0.804) Data 0.001 (0.003) Loss 1.7710 (1.7862) Prec@1 55.000 (52.830) Prec@5 83.750 (82.268) Epoch: [61][1810/11272] Time 0.747 (0.804) Data 0.003 (0.003) Loss 1.8144 (1.7861) Prec@1 53.125 (52.837) Prec@5 81.875 (82.268) Epoch: [61][1820/11272] Time 0.743 (0.804) Data 0.002 (0.003) Loss 1.9232 (1.7864) Prec@1 43.750 (52.826) Prec@5 81.875 (82.268) Epoch: [61][1830/11272] Time 0.847 (0.804) Data 0.002 (0.003) Loss 1.6781 (1.7865) Prec@1 55.625 (52.828) Prec@5 83.750 (82.262) Epoch: [61][1840/11272] Time 0.824 (0.804) Data 0.001 (0.003) Loss 1.9124 (1.7864) Prec@1 54.375 (52.832) Prec@5 75.625 (82.268) Epoch: [61][1850/11272] Time 0.764 (0.804) Data 0.002 (0.003) Loss 1.9313 (1.7864) Prec@1 54.375 (52.829) Prec@5 78.125 (82.265) Epoch: [61][1860/11272] Time 0.731 (0.804) Data 0.002 (0.003) Loss 1.7426 (1.7865) Prec@1 60.000 (52.826) Prec@5 78.750 (82.263) Epoch: [61][1870/11272] Time 0.854 (0.804) Data 0.001 (0.003) Loss 1.9111 (1.7865) Prec@1 53.125 (52.828) Prec@5 79.375 (82.261) Epoch: [61][1880/11272] Time 0.840 (0.804) Data 0.001 (0.003) Loss 1.6916 (1.7863) Prec@1 51.875 (52.832) Prec@5 81.875 (82.266) Epoch: [61][1890/11272] Time 0.729 (0.804) Data 0.002 (0.003) Loss 2.0696 (1.7864) Prec@1 46.250 (52.823) Prec@5 79.375 (82.262) Epoch: [61][1900/11272] Time 0.722 (0.804) Data 0.001 (0.003) Loss 1.7217 (1.7865) Prec@1 52.500 (52.818) Prec@5 82.500 (82.257) Epoch: [61][1910/11272] Time 0.824 (0.804) Data 0.002 (0.003) Loss 1.7244 (1.7865) Prec@1 53.750 (52.815) Prec@5 82.500 (82.257) Epoch: [61][1920/11272] Time 0.851 (0.804) Data 0.002 (0.003) Loss 1.7058 (1.7863) Prec@1 57.500 (52.821) Prec@5 83.750 (82.253) Epoch: [61][1930/11272] Time 0.727 (0.804) Data 0.001 (0.003) Loss 1.9762 (1.7863) Prec@1 48.750 (52.818) Prec@5 80.625 (82.257) Epoch: [61][1940/11272] Time 0.864 (0.804) Data 0.001 (0.003) Loss 1.9216 (1.7866) Prec@1 46.250 (52.808) Prec@5 81.875 (82.258) Epoch: [61][1950/11272] Time 0.848 (0.804) Data 0.001 (0.003) Loss 1.7596 (1.7867) Prec@1 53.125 (52.808) Prec@5 81.250 (82.256) Epoch: [61][1960/11272] Time 0.710 (0.804) Data 0.002 (0.003) Loss 1.9257 (1.7868) Prec@1 51.250 (52.801) Prec@5 75.625 (82.250) Epoch: [61][1970/11272] Time 0.729 (0.803) Data 0.001 (0.003) Loss 1.7957 (1.7871) Prec@1 50.625 (52.797) Prec@5 79.375 (82.240) Epoch: [61][1980/11272] Time 0.815 (0.803) Data 0.002 (0.003) Loss 1.6233 (1.7870) Prec@1 55.625 (52.800) Prec@5 83.750 (82.240) Epoch: [61][1990/11272] Time 0.843 (0.803) Data 0.002 (0.003) Loss 1.5465 (1.7869) Prec@1 59.375 (52.799) Prec@5 86.875 (82.238) Epoch: [61][2000/11272] Time 0.722 (0.803) Data 0.002 (0.003) Loss 1.7022 (1.7869) Prec@1 55.000 (52.803) Prec@5 83.125 (82.234) Epoch: [61][2010/11272] Time 0.726 (0.803) Data 0.002 (0.003) Loss 1.5858 (1.7871) Prec@1 52.500 (52.800) Prec@5 85.000 (82.233) Epoch: [61][2020/11272] Time 0.855 (0.803) Data 0.001 (0.003) Loss 1.6677 (1.7871) Prec@1 53.125 (52.796) Prec@5 86.875 (82.234) Epoch: [61][2030/11272] Time 0.839 (0.803) Data 0.002 (0.003) Loss 2.0975 (1.7874) Prec@1 46.250 (52.790) Prec@5 78.750 (82.232) Epoch: [61][2040/11272] Time 0.738 (0.803) Data 0.002 (0.003) Loss 1.6132 (1.7873) Prec@1 60.000 (52.789) Prec@5 85.625 (82.234) Epoch: [61][2050/11272] Time 0.745 (0.803) Data 0.002 (0.003) Loss 1.8979 (1.7872) Prec@1 45.625 (52.789) Prec@5 81.250 (82.234) Epoch: [61][2060/11272] Time 0.914 (0.803) Data 0.002 (0.003) Loss 1.7749 (1.7874) Prec@1 48.750 (52.781) Prec@5 80.000 (82.231) Epoch: [61][2070/11272] Time 0.763 (0.803) Data 0.003 (0.003) Loss 1.9377 (1.7872) Prec@1 51.250 (52.789) Prec@5 81.875 (82.233) Epoch: [61][2080/11272] Time 0.737 (0.803) Data 0.001 (0.003) Loss 1.9395 (1.7870) Prec@1 50.625 (52.795) Prec@5 78.125 (82.238) Epoch: [61][2090/11272] Time 0.853 (0.803) Data 0.002 (0.003) Loss 1.8105 (1.7870) Prec@1 49.375 (52.795) Prec@5 83.125 (82.236) Epoch: [61][2100/11272] Time 0.840 (0.803) Data 0.001 (0.003) Loss 1.7492 (1.7870) Prec@1 55.625 (52.787) Prec@5 84.375 (82.242) Epoch: [61][2110/11272] Time 0.729 (0.803) Data 0.002 (0.003) Loss 1.8021 (1.7866) Prec@1 55.000 (52.790) Prec@5 86.250 (82.250) Epoch: [61][2120/11272] Time 0.735 (0.803) Data 0.001 (0.003) Loss 1.7849 (1.7867) Prec@1 51.250 (52.789) Prec@5 82.500 (82.251) Epoch: [61][2130/11272] Time 0.903 (0.803) Data 0.002 (0.003) Loss 1.8942 (1.7869) Prec@1 52.500 (52.785) Prec@5 76.875 (82.242) Epoch: [61][2140/11272] Time 0.831 (0.803) Data 0.002 (0.003) Loss 1.9746 (1.7870) Prec@1 48.125 (52.775) Prec@5 78.750 (82.242) Epoch: [61][2150/11272] Time 0.741 (0.803) Data 0.002 (0.003) Loss 1.7333 (1.7870) Prec@1 58.125 (52.784) Prec@5 81.875 (82.240) Epoch: [61][2160/11272] Time 0.767 (0.803) Data 0.002 (0.003) Loss 1.7304 (1.7866) Prec@1 56.250 (52.797) Prec@5 81.250 (82.247) Epoch: [61][2170/11272] Time 0.857 (0.803) Data 0.002 (0.003) Loss 1.8548 (1.7867) Prec@1 54.375 (52.799) Prec@5 80.000 (82.248) Epoch: [61][2180/11272] Time 0.896 (0.803) Data 0.002 (0.003) Loss 1.7217 (1.7865) Prec@1 55.625 (52.800) Prec@5 81.875 (82.248) Epoch: [61][2190/11272] Time 0.754 (0.803) Data 0.002 (0.003) Loss 1.7388 (1.7866) Prec@1 53.750 (52.792) Prec@5 83.750 (82.246) Epoch: [61][2200/11272] Time 0.849 (0.803) Data 0.002 (0.003) Loss 1.6964 (1.7869) Prec@1 55.625 (52.790) Prec@5 84.375 (82.241) Epoch: [61][2210/11272] Time 0.921 (0.803) Data 0.002 (0.003) Loss 1.8393 (1.7869) Prec@1 52.500 (52.787) Prec@5 80.000 (82.246) Epoch: [61][2220/11272] Time 0.788 (0.803) Data 0.002 (0.003) Loss 1.8220 (1.7869) Prec@1 52.500 (52.784) Prec@5 83.125 (82.246) Epoch: [61][2230/11272] Time 0.746 (0.803) Data 0.002 (0.003) Loss 1.7356 (1.7871) Prec@1 53.125 (52.780) Prec@5 85.625 (82.248) Epoch: [61][2240/11272] Time 0.918 (0.803) Data 0.002 (0.003) Loss 1.7381 (1.7872) Prec@1 56.875 (52.780) Prec@5 81.250 (82.240) Epoch: [61][2250/11272] Time 0.900 (0.804) Data 0.002 (0.003) Loss 1.7738 (1.7872) Prec@1 50.625 (52.777) Prec@5 82.500 (82.238) Epoch: [61][2260/11272] Time 0.735 (0.803) Data 0.002 (0.003) Loss 1.7593 (1.7872) Prec@1 48.125 (52.776) Prec@5 88.125 (82.236) Epoch: [61][2270/11272] Time 0.759 (0.804) Data 0.002 (0.003) Loss 1.7907 (1.7873) Prec@1 52.500 (52.777) Prec@5 80.625 (82.240) Epoch: [61][2280/11272] Time 0.901 (0.804) Data 0.002 (0.003) Loss 1.8138 (1.7871) Prec@1 56.250 (52.779) Prec@5 82.500 (82.244) Epoch: [61][2290/11272] Time 0.921 (0.804) Data 0.002 (0.003) Loss 1.8593 (1.7872) Prec@1 48.750 (52.785) Prec@5 81.875 (82.245) Epoch: [61][2300/11272] Time 0.737 (0.804) Data 0.002 (0.003) Loss 1.7805 (1.7869) Prec@1 55.000 (52.795) Prec@5 82.500 (82.247) Epoch: [61][2310/11272] Time 0.729 (0.804) Data 0.002 (0.003) Loss 1.5750 (1.7869) Prec@1 61.875 (52.800) Prec@5 85.625 (82.246) Epoch: [61][2320/11272] Time 0.898 (0.804) Data 0.002 (0.003) Loss 1.6757 (1.7868) Prec@1 57.500 (52.805) Prec@5 82.500 (82.247) Epoch: [61][2330/11272] Time 0.825 (0.804) Data 0.001 (0.003) Loss 1.8796 (1.7871) Prec@1 50.000 (52.795) Prec@5 83.125 (82.249) Epoch: [61][2340/11272] Time 0.743 (0.804) Data 0.002 (0.003) Loss 1.6820 (1.7870) Prec@1 56.250 (52.793) Prec@5 84.375 (82.254) Epoch: [61][2350/11272] Time 0.899 (0.804) Data 0.002 (0.003) Loss 2.0219 (1.7868) Prec@1 46.250 (52.800) Prec@5 77.500 (82.255) Epoch: [61][2360/11272] Time 0.810 (0.804) Data 0.002 (0.003) Loss 1.6311 (1.7864) Prec@1 53.125 (52.805) Prec@5 83.750 (82.259) Epoch: [61][2370/11272] Time 0.734 (0.804) Data 0.001 (0.003) Loss 1.5870 (1.7864) Prec@1 52.500 (52.802) Prec@5 86.875 (82.257) Epoch: [61][2380/11272] Time 0.728 (0.804) Data 0.002 (0.003) Loss 1.9951 (1.7863) Prec@1 48.125 (52.806) Prec@5 78.750 (82.262) Epoch: [61][2390/11272] Time 0.835 (0.804) Data 0.001 (0.003) Loss 2.0259 (1.7864) Prec@1 50.000 (52.806) Prec@5 76.875 (82.260) Epoch: [61][2400/11272] Time 0.838 (0.804) Data 0.002 (0.003) Loss 1.8413 (1.7865) Prec@1 52.500 (52.802) Prec@5 78.750 (82.257) Epoch: [61][2410/11272] Time 0.724 (0.804) Data 0.001 (0.003) Loss 2.0015 (1.7864) Prec@1 46.875 (52.808) Prec@5 81.250 (82.258) Epoch: [61][2420/11272] Time 0.744 (0.804) Data 0.002 (0.003) Loss 1.8123 (1.7867) Prec@1 50.000 (52.799) Prec@5 81.250 (82.257) Epoch: [61][2430/11272] Time 0.871 (0.804) Data 0.002 (0.003) Loss 1.7056 (1.7868) Prec@1 53.750 (52.795) Prec@5 83.750 (82.251) Epoch: [61][2440/11272] Time 0.856 (0.804) Data 0.002 (0.003) Loss 1.8237 (1.7868) Prec@1 51.875 (52.796) Prec@5 81.875 (82.251) Epoch: [61][2450/11272] Time 0.737 (0.804) Data 0.001 (0.003) Loss 2.0003 (1.7871) Prec@1 55.000 (52.792) Prec@5 78.125 (82.246) Epoch: [61][2460/11272] Time 0.727 (0.804) Data 0.002 (0.003) Loss 1.9896 (1.7875) Prec@1 46.875 (52.784) Prec@5 79.375 (82.241) Epoch: [61][2470/11272] Time 0.823 (0.804) Data 0.001 (0.003) Loss 1.7752 (1.7876) Prec@1 50.000 (52.783) Prec@5 82.500 (82.239) Epoch: [61][2480/11272] Time 0.717 (0.804) Data 0.002 (0.003) Loss 1.7013 (1.7874) Prec@1 53.750 (52.786) Prec@5 81.875 (82.240) Epoch: [61][2490/11272] Time 0.720 (0.803) Data 0.002 (0.003) Loss 2.1513 (1.7874) Prec@1 41.875 (52.789) Prec@5 74.375 (82.240) Epoch: [61][2500/11272] Time 0.904 (0.804) Data 0.002 (0.003) Loss 2.0669 (1.7875) Prec@1 46.875 (52.782) Prec@5 76.250 (82.241) Epoch: [61][2510/11272] Time 0.833 (0.804) Data 0.001 (0.003) Loss 1.9748 (1.7879) Prec@1 46.250 (52.775) Prec@5 75.625 (82.232) Epoch: [61][2520/11272] Time 0.735 (0.803) Data 0.002 (0.003) Loss 1.6882 (1.7877) Prec@1 56.875 (52.779) Prec@5 83.125 (82.235) Epoch: [61][2530/11272] Time 0.720 (0.803) Data 0.001 (0.003) Loss 1.7742 (1.7876) Prec@1 52.500 (52.778) Prec@5 82.500 (82.238) Epoch: [61][2540/11272] Time 0.871 (0.803) Data 0.001 (0.003) Loss 1.4942 (1.7877) Prec@1 60.000 (52.780) Prec@5 86.250 (82.234) Epoch: [61][2550/11272] Time 0.843 (0.803) Data 0.002 (0.003) Loss 2.0007 (1.7879) Prec@1 50.000 (52.776) Prec@5 78.750 (82.235) Epoch: [61][2560/11272] Time 0.738 (0.803) Data 0.002 (0.003) Loss 1.5621 (1.7876) Prec@1 54.375 (52.783) Prec@5 88.125 (82.239) Epoch: [61][2570/11272] Time 0.743 (0.803) Data 0.002 (0.003) Loss 1.7489 (1.7878) Prec@1 50.000 (52.779) Prec@5 82.500 (82.238) Epoch: [61][2580/11272] Time 0.818 (0.803) Data 0.001 (0.003) Loss 2.1172 (1.7880) Prec@1 47.500 (52.773) Prec@5 76.875 (82.237) Epoch: [61][2590/11272] Time 0.857 (0.803) Data 0.002 (0.003) Loss 1.7051 (1.7880) Prec@1 55.625 (52.771) Prec@5 82.500 (82.238) Epoch: [61][2600/11272] Time 0.753 (0.804) Data 0.002 (0.003) Loss 1.7927 (1.7878) Prec@1 51.250 (52.772) Prec@5 79.375 (82.241) Epoch: [61][2610/11272] Time 0.836 (0.804) Data 0.002 (0.003) Loss 1.8781 (1.7878) Prec@1 53.750 (52.773) Prec@5 79.375 (82.241) Epoch: [61][2620/11272] Time 0.822 (0.803) Data 0.002 (0.003) Loss 1.7052 (1.7876) Prec@1 58.125 (52.777) Prec@5 81.250 (82.242) Epoch: [61][2630/11272] Time 0.737 (0.803) Data 0.001 (0.003) Loss 1.5907 (1.7875) Prec@1 56.875 (52.772) Prec@5 86.250 (82.246) Epoch: [61][2640/11272] Time 0.752 (0.803) Data 0.001 (0.003) Loss 1.7048 (1.7874) Prec@1 49.375 (52.769) Prec@5 86.250 (82.251) Epoch: [61][2650/11272] Time 0.839 (0.803) Data 0.002 (0.003) Loss 1.8308 (1.7872) Prec@1 53.125 (52.773) Prec@5 81.875 (82.252) Epoch: [61][2660/11272] Time 0.891 (0.803) Data 0.002 (0.003) Loss 1.9101 (1.7873) Prec@1 50.625 (52.774) Prec@5 78.125 (82.252) Epoch: [61][2670/11272] Time 0.744 (0.803) Data 0.001 (0.003) Loss 1.8975 (1.7873) Prec@1 50.625 (52.775) Prec@5 79.375 (82.246) Epoch: [61][2680/11272] Time 0.740 (0.803) Data 0.002 (0.003) Loss 1.7686 (1.7873) Prec@1 50.625 (52.779) Prec@5 85.625 (82.250) Epoch: [61][2690/11272] Time 0.839 (0.803) Data 0.001 (0.003) Loss 1.5075 (1.7871) Prec@1 62.500 (52.781) Prec@5 86.875 (82.255) Epoch: [61][2700/11272] Time 0.819 (0.803) Data 0.001 (0.003) Loss 1.7459 (1.7872) Prec@1 50.625 (52.780) Prec@5 79.375 (82.252) Epoch: [61][2710/11272] Time 0.740 (0.803) Data 0.002 (0.003) Loss 1.6886 (1.7875) Prec@1 52.500 (52.774) Prec@5 84.375 (82.251) Epoch: [61][2720/11272] Time 0.734 (0.803) Data 0.001 (0.003) Loss 1.8826 (1.7873) Prec@1 52.500 (52.777) Prec@5 81.250 (82.254) Epoch: [61][2730/11272] Time 0.837 (0.803) Data 0.002 (0.003) Loss 1.7980 (1.7875) Prec@1 51.875 (52.773) Prec@5 81.250 (82.252) Epoch: [61][2740/11272] Time 0.729 (0.803) Data 0.003 (0.003) Loss 1.7906 (1.7875) Prec@1 48.750 (52.774) Prec@5 85.000 (82.254) Epoch: [61][2750/11272] Time 0.735 (0.803) Data 0.002 (0.003) Loss 1.7451 (1.7878) Prec@1 55.625 (52.766) Prec@5 81.875 (82.254) Epoch: [61][2760/11272] Time 0.849 (0.803) Data 0.002 (0.003) Loss 1.6759 (1.7879) Prec@1 50.000 (52.756) Prec@5 82.500 (82.251) Epoch: [61][2770/11272] Time 0.887 (0.803) Data 0.002 (0.003) Loss 1.8468 (1.7879) Prec@1 52.500 (52.755) Prec@5 81.250 (82.254) Epoch: [61][2780/11272] Time 0.730 (0.803) Data 0.002 (0.003) Loss 1.7538 (1.7880) Prec@1 51.250 (52.752) Prec@5 80.000 (82.251) Epoch: [61][2790/11272] Time 0.739 (0.803) Data 0.002 (0.003) Loss 1.8668 (1.7880) Prec@1 53.750 (52.750) Prec@5 78.750 (82.250) Epoch: [61][2800/11272] Time 0.828 (0.803) Data 0.002 (0.003) Loss 1.8218 (1.7883) Prec@1 52.500 (52.741) Prec@5 81.875 (82.245) Epoch: [61][2810/11272] Time 0.809 (0.803) Data 0.002 (0.003) Loss 1.8185 (1.7882) Prec@1 48.750 (52.738) Prec@5 82.500 (82.246) Epoch: [61][2820/11272] Time 0.736 (0.803) Data 0.002 (0.003) Loss 2.0862 (1.7883) Prec@1 45.625 (52.735) Prec@5 79.375 (82.246) Epoch: [61][2830/11272] Time 0.742 (0.803) Data 0.001 (0.003) Loss 1.5826 (1.7881) Prec@1 58.125 (52.735) Prec@5 84.375 (82.249) Epoch: [61][2840/11272] Time 0.843 (0.803) Data 0.002 (0.003) Loss 1.7851 (1.7881) Prec@1 52.500 (52.734) Prec@5 81.250 (82.245) Epoch: [61][2850/11272] Time 0.802 (0.803) Data 0.001 (0.003) Loss 1.7099 (1.7882) Prec@1 56.875 (52.733) Prec@5 85.000 (82.246) Epoch: [61][2860/11272] Time 0.735 (0.803) Data 0.001 (0.003) Loss 1.6633 (1.7881) Prec@1 50.625 (52.730) Prec@5 86.250 (82.250) Epoch: [61][2870/11272] Time 0.888 (0.803) Data 0.002 (0.003) Loss 1.7848 (1.7881) Prec@1 53.750 (52.734) Prec@5 83.125 (82.252) Epoch: [61][2880/11272] Time 0.831 (0.803) Data 0.001 (0.003) Loss 1.6163 (1.7883) Prec@1 55.000 (52.731) Prec@5 86.875 (82.251) Epoch: [61][2890/11272] Time 0.750 (0.803) Data 0.002 (0.003) Loss 1.9371 (1.7884) Prec@1 45.000 (52.725) Prec@5 75.625 (82.251) Epoch: [61][2900/11272] Time 0.729 (0.803) Data 0.001 (0.003) Loss 1.8622 (1.7883) Prec@1 51.250 (52.724) Prec@5 84.375 (82.256) Epoch: [61][2910/11272] Time 0.828 (0.803) Data 0.001 (0.003) Loss 1.9465 (1.7882) Prec@1 48.750 (52.725) Prec@5 78.750 (82.258) Epoch: [61][2920/11272] Time 0.873 (0.803) Data 0.001 (0.003) Loss 1.9491 (1.7884) Prec@1 53.750 (52.724) Prec@5 76.250 (82.257) Epoch: [61][2930/11272] Time 0.735 (0.803) Data 0.002 (0.003) Loss 1.7751 (1.7885) Prec@1 53.750 (52.725) Prec@5 80.625 (82.253) Epoch: [61][2940/11272] Time 0.759 (0.803) Data 0.002 (0.003) Loss 2.0165 (1.7886) Prec@1 51.250 (52.726) Prec@5 81.250 (82.253) Epoch: [61][2950/11272] Time 0.882 (0.803) Data 0.002 (0.003) Loss 1.6677 (1.7887) Prec@1 56.875 (52.722) Prec@5 80.000 (82.249) Epoch: [61][2960/11272] Time 0.874 (0.803) Data 0.001 (0.003) Loss 2.0154 (1.7888) Prec@1 46.250 (52.722) Prec@5 76.250 (82.246) Epoch: [61][2970/11272] Time 0.750 (0.803) Data 0.002 (0.003) Loss 1.8401 (1.7889) Prec@1 51.250 (52.720) Prec@5 80.000 (82.245) Epoch: [61][2980/11272] Time 0.724 (0.803) Data 0.002 (0.003) Loss 1.9119 (1.7888) Prec@1 50.000 (52.723) Prec@5 83.750 (82.244) Epoch: [61][2990/11272] Time 0.909 (0.803) Data 0.002 (0.003) Loss 1.7792 (1.7888) Prec@1 57.500 (52.725) Prec@5 79.375 (82.243) Epoch: [61][3000/11272] Time 0.747 (0.803) Data 0.003 (0.003) Loss 1.6217 (1.7888) Prec@1 55.000 (52.724) Prec@5 85.625 (82.243) Epoch: [61][3010/11272] Time 0.734 (0.803) Data 0.002 (0.003) Loss 1.9211 (1.7888) Prec@1 49.375 (52.724) Prec@5 80.625 (82.243) Epoch: [61][3020/11272] Time 0.860 (0.803) Data 0.001 (0.003) Loss 1.7829 (1.7887) Prec@1 52.500 (52.728) Prec@5 79.375 (82.243) Epoch: [61][3030/11272] Time 0.897 (0.803) Data 0.001 (0.003) Loss 1.7374 (1.7886) Prec@1 53.125 (52.731) Prec@5 84.375 (82.245) Epoch: [61][3040/11272] Time 0.753 (0.803) Data 0.002 (0.003) Loss 1.7384 (1.7887) Prec@1 50.625 (52.725) Prec@5 85.000 (82.243) Epoch: [61][3050/11272] Time 0.743 (0.803) Data 0.002 (0.003) Loss 1.6367 (1.7885) Prec@1 53.750 (52.727) Prec@5 85.000 (82.246) Epoch: [61][3060/11272] Time 0.878 (0.803) Data 0.002 (0.003) Loss 1.9052 (1.7887) Prec@1 45.000 (52.726) Prec@5 78.750 (82.242) Epoch: [61][3070/11272] Time 0.862 (0.803) Data 0.002 (0.003) Loss 1.8309 (1.7887) Prec@1 50.625 (52.725) Prec@5 83.125 (82.245) Epoch: [61][3080/11272] Time 0.738 (0.803) Data 0.002 (0.003) Loss 1.6315 (1.7886) Prec@1 56.250 (52.727) Prec@5 87.500 (82.248) Epoch: [61][3090/11272] Time 0.770 (0.803) Data 0.002 (0.003) Loss 1.7078 (1.7884) Prec@1 51.875 (52.730) Prec@5 83.125 (82.248) Epoch: [61][3100/11272] Time 0.872 (0.803) Data 0.002 (0.003) Loss 1.8473 (1.7884) Prec@1 53.125 (52.730) Prec@5 76.875 (82.253) Epoch: [61][3110/11272] Time 0.844 (0.803) Data 0.002 (0.003) Loss 1.7411 (1.7885) Prec@1 54.375 (52.731) Prec@5 78.750 (82.247) Epoch: [61][3120/11272] Time 0.742 (0.803) Data 0.002 (0.003) Loss 1.8065 (1.7883) Prec@1 53.125 (52.731) Prec@5 79.375 (82.249) Epoch: [61][3130/11272] Time 0.913 (0.803) Data 0.002 (0.003) Loss 1.7752 (1.7881) Prec@1 57.500 (52.735) Prec@5 82.500 (82.252) Epoch: [61][3140/11272] Time 0.887 (0.803) Data 0.001 (0.003) Loss 1.8017 (1.7882) Prec@1 51.250 (52.732) Prec@5 81.875 (82.250) Epoch: [61][3150/11272] Time 0.740 (0.803) Data 0.002 (0.003) Loss 1.5864 (1.7880) Prec@1 51.250 (52.731) Prec@5 87.500 (82.253) Epoch: [61][3160/11272] Time 0.755 (0.803) Data 0.001 (0.003) Loss 1.6961 (1.7879) Prec@1 53.125 (52.733) Prec@5 85.625 (82.259) Epoch: [61][3170/11272] Time 0.908 (0.804) Data 0.002 (0.003) Loss 1.7625 (1.7878) Prec@1 51.875 (52.736) Prec@5 83.750 (82.261) Epoch: [61][3180/11272] Time 0.846 (0.804) Data 0.001 (0.003) Loss 1.8410 (1.7878) Prec@1 47.500 (52.726) Prec@5 81.875 (82.263) Epoch: [61][3190/11272] Time 0.734 (0.804) Data 0.002 (0.003) Loss 1.7303 (1.7878) Prec@1 52.500 (52.724) Prec@5 77.500 (82.263) Epoch: [61][3200/11272] Time 0.730 (0.804) Data 0.002 (0.003) Loss 1.9694 (1.7878) Prec@1 45.625 (52.723) Prec@5 78.125 (82.265) Epoch: [61][3210/11272] Time 0.881 (0.804) Data 0.002 (0.003) Loss 1.7952 (1.7881) Prec@1 49.375 (52.720) Prec@5 82.500 (82.262) Epoch: [61][3220/11272] Time 0.905 (0.804) Data 0.002 (0.003) Loss 1.5417 (1.7880) Prec@1 58.750 (52.718) Prec@5 85.625 (82.262) Epoch: [61][3230/11272] Time 0.730 (0.804) Data 0.002 (0.003) Loss 1.8929 (1.7883) Prec@1 51.875 (52.710) Prec@5 80.625 (82.257) Epoch: [61][3240/11272] Time 0.719 (0.804) Data 0.002 (0.003) Loss 1.7137 (1.7882) Prec@1 48.125 (52.711) Prec@5 83.125 (82.255) Epoch: [61][3250/11272] Time 0.831 (0.804) Data 0.002 (0.003) Loss 1.8478 (1.7881) Prec@1 51.250 (52.716) Prec@5 80.000 (82.259) Epoch: [61][3260/11272] Time 0.843 (0.803) Data 0.001 (0.003) Loss 1.6953 (1.7882) Prec@1 58.750 (52.719) Prec@5 81.875 (82.257) Epoch: [61][3270/11272] Time 0.734 (0.803) Data 0.001 (0.003) Loss 1.8466 (1.7882) Prec@1 48.125 (52.723) Prec@5 81.875 (82.252) Epoch: [61][3280/11272] Time 0.849 (0.803) Data 0.002 (0.003) Loss 1.6791 (1.7881) Prec@1 51.250 (52.718) Prec@5 88.125 (82.256) Epoch: [61][3290/11272] Time 0.858 (0.803) Data 0.002 (0.003) Loss 1.8737 (1.7881) Prec@1 52.500 (52.716) Prec@5 81.875 (82.255) Epoch: [61][3300/11272] Time 0.805 (0.803) Data 0.002 (0.003) Loss 1.6109 (1.7881) Prec@1 56.875 (52.715) Prec@5 83.125 (82.256) Epoch: [61][3310/11272] Time 0.737 (0.803) Data 0.005 (0.003) Loss 1.6041 (1.7881) Prec@1 53.750 (52.712) Prec@5 86.875 (82.255) Epoch: [61][3320/11272] Time 0.830 (0.803) Data 0.002 (0.003) Loss 1.9732 (1.7882) Prec@1 54.375 (52.709) Prec@5 78.750 (82.255) Epoch: [61][3330/11272] Time 0.862 (0.803) Data 0.001 (0.003) Loss 1.9392 (1.7885) Prec@1 50.000 (52.704) Prec@5 78.125 (82.250) Epoch: [61][3340/11272] Time 0.731 (0.803) Data 0.002 (0.003) Loss 1.7295 (1.7886) Prec@1 52.500 (52.702) Prec@5 81.875 (82.248) Epoch: [61][3350/11272] Time 0.782 (0.803) Data 0.003 (0.003) Loss 1.8442 (1.7889) Prec@1 53.750 (52.695) Prec@5 81.250 (82.239) Epoch: [61][3360/11272] Time 0.828 (0.803) Data 0.002 (0.003) Loss 1.7753 (1.7890) Prec@1 55.625 (52.691) Prec@5 85.625 (82.239) Epoch: [61][3370/11272] Time 0.858 (0.803) Data 0.001 (0.003) Loss 1.8934 (1.7893) Prec@1 48.125 (52.687) Prec@5 81.875 (82.235) Epoch: [61][3380/11272] Time 0.732 (0.803) Data 0.002 (0.003) Loss 1.6637 (1.7892) Prec@1 54.375 (52.688) Prec@5 84.375 (82.233) Epoch: [61][3390/11272] Time 0.755 (0.803) Data 0.002 (0.003) Loss 1.9558 (1.7892) Prec@1 50.000 (52.692) Prec@5 78.750 (82.235) Epoch: [61][3400/11272] Time 0.895 (0.803) Data 0.002 (0.003) Loss 1.7061 (1.7892) Prec@1 56.250 (52.689) Prec@5 83.750 (82.237) Epoch: [61][3410/11272] Time 0.739 (0.803) Data 0.001 (0.003) Loss 1.6864 (1.7893) Prec@1 57.500 (52.687) Prec@5 82.500 (82.235) Epoch: [61][3420/11272] Time 0.757 (0.803) Data 0.002 (0.003) Loss 1.7487 (1.7891) Prec@1 51.250 (52.693) Prec@5 83.750 (82.238) Epoch: [61][3430/11272] Time 0.842 (0.803) Data 0.002 (0.003) Loss 1.7532 (1.7889) Prec@1 56.250 (52.699) Prec@5 78.750 (82.240) Epoch: [61][3440/11272] Time 0.877 (0.803) Data 0.002 (0.003) Loss 1.9078 (1.7891) Prec@1 51.875 (52.693) Prec@5 79.375 (82.240) Epoch: [61][3450/11272] Time 0.748 (0.803) Data 0.002 (0.003) Loss 1.7939 (1.7891) Prec@1 50.625 (52.692) Prec@5 85.000 (82.243) Epoch: [61][3460/11272] Time 0.753 (0.803) Data 0.002 (0.003) Loss 1.8377 (1.7889) Prec@1 50.625 (52.697) Prec@5 79.375 (82.246) Epoch: [61][3470/11272] Time 0.878 (0.803) Data 0.002 (0.003) Loss 1.7395 (1.7889) Prec@1 55.000 (52.698) Prec@5 83.125 (82.246) Epoch: [61][3480/11272] Time 0.835 (0.803) Data 0.001 (0.003) Loss 1.7290 (1.7889) Prec@1 52.500 (52.695) Prec@5 83.750 (82.246) Epoch: [61][3490/11272] Time 0.728 (0.803) Data 0.002 (0.003) Loss 1.8439 (1.7889) Prec@1 46.875 (52.690) Prec@5 76.875 (82.244) Epoch: [61][3500/11272] Time 0.789 (0.803) Data 0.002 (0.003) Loss 1.4646 (1.7888) Prec@1 59.375 (52.697) Prec@5 88.125 (82.246) Epoch: [61][3510/11272] Time 0.836 (0.803) Data 0.001 (0.003) Loss 1.7745 (1.7886) Prec@1 51.250 (52.701) Prec@5 83.750 (82.248) Epoch: [61][3520/11272] Time 0.860 (0.803) Data 0.001 (0.003) Loss 1.8406 (1.7886) Prec@1 49.375 (52.700) Prec@5 82.500 (82.250) Epoch: [61][3530/11272] Time 0.767 (0.803) Data 0.002 (0.003) Loss 2.1895 (1.7888) Prec@1 45.000 (52.698) Prec@5 76.250 (82.249) Epoch: [61][3540/11272] Time 0.828 (0.803) Data 0.001 (0.003) Loss 1.6948 (1.7887) Prec@1 58.750 (52.699) Prec@5 80.000 (82.248) Epoch: [61][3550/11272] Time 0.854 (0.803) Data 0.001 (0.003) Loss 1.8074 (1.7887) Prec@1 53.125 (52.694) Prec@5 79.375 (82.244) Epoch: [61][3560/11272] Time 0.733 (0.803) Data 0.002 (0.003) Loss 1.9202 (1.7886) Prec@1 49.375 (52.697) Prec@5 81.250 (82.247) Epoch: [61][3570/11272] Time 0.754 (0.803) Data 0.002 (0.003) Loss 1.8120 (1.7886) Prec@1 55.000 (52.697) Prec@5 83.125 (82.247) Epoch: [61][3580/11272] Time 0.889 (0.803) Data 0.002 (0.003) Loss 1.6898 (1.7886) Prec@1 58.750 (52.698) Prec@5 82.500 (82.245) Epoch: [61][3590/11272] Time 0.857 (0.803) Data 0.002 (0.003) Loss 1.8025 (1.7888) Prec@1 58.125 (52.695) Prec@5 80.625 (82.244) Epoch: [61][3600/11272] Time 0.754 (0.803) Data 0.002 (0.003) Loss 2.1972 (1.7887) Prec@1 47.500 (52.693) Prec@5 73.750 (82.247) Epoch: [61][3610/11272] Time 0.733 (0.803) Data 0.002 (0.003) Loss 1.7425 (1.7890) Prec@1 53.125 (52.689) Prec@5 83.750 (82.242) Epoch: [61][3620/11272] Time 0.872 (0.803) Data 0.001 (0.003) Loss 1.6336 (1.7888) Prec@1 61.875 (52.693) Prec@5 80.625 (82.244) Epoch: [61][3630/11272] Time 0.875 (0.803) Data 0.002 (0.003) Loss 1.5910 (1.7888) Prec@1 60.000 (52.698) Prec@5 86.875 (82.241) Epoch: [61][3640/11272] Time 0.733 (0.803) Data 0.002 (0.003) Loss 1.9727 (1.7888) Prec@1 48.125 (52.697) Prec@5 75.000 (82.242) Epoch: [61][3650/11272] Time 0.737 (0.803) Data 0.002 (0.003) Loss 1.8151 (1.7888) Prec@1 48.750 (52.694) Prec@5 81.250 (82.240) Epoch: [61][3660/11272] Time 0.897 (0.803) Data 0.002 (0.003) Loss 1.6319 (1.7889) Prec@1 56.875 (52.692) Prec@5 85.000 (82.238) Epoch: [61][3670/11272] Time 0.734 (0.803) Data 0.004 (0.003) Loss 2.1374 (1.7889) Prec@1 42.500 (52.691) Prec@5 77.500 (82.241) Epoch: [61][3680/11272] Time 0.770 (0.803) Data 0.002 (0.003) Loss 1.8740 (1.7890) Prec@1 48.750 (52.694) Prec@5 83.125 (82.240) Epoch: [61][3690/11272] Time 0.892 (0.803) Data 0.002 (0.003) Loss 1.7538 (1.7891) Prec@1 53.125 (52.694) Prec@5 82.500 (82.237) Epoch: [61][3700/11272] Time 0.851 (0.803) Data 0.001 (0.002) Loss 1.9236 (1.7889) Prec@1 49.375 (52.696) Prec@5 78.125 (82.238) Epoch: [61][3710/11272] Time 0.712 (0.803) Data 0.002 (0.002) Loss 1.8239 (1.7888) Prec@1 51.875 (52.700) Prec@5 84.375 (82.241) Epoch: [61][3720/11272] Time 0.728 (0.803) Data 0.001 (0.002) Loss 1.6265 (1.7888) Prec@1 56.250 (52.698) Prec@5 86.875 (82.243) Epoch: [61][3730/11272] Time 0.824 (0.803) Data 0.002 (0.002) Loss 1.6064 (1.7886) Prec@1 61.250 (52.707) Prec@5 81.250 (82.246) Epoch: [61][3740/11272] Time 0.965 (0.804) Data 0.002 (0.002) Loss 1.7814 (1.7885) Prec@1 53.125 (52.710) Prec@5 81.250 (82.248) Epoch: [61][3750/11272] Time 0.736 (0.804) Data 0.002 (0.002) Loss 1.9254 (1.7884) Prec@1 52.500 (52.712) Prec@5 79.375 (82.249) Epoch: [61][3760/11272] Time 0.733 (0.804) Data 0.002 (0.002) Loss 1.8460 (1.7882) Prec@1 51.250 (52.716) Prec@5 82.500 (82.252) Epoch: [61][3770/11272] Time 0.886 (0.804) Data 0.002 (0.002) Loss 1.4687 (1.7881) Prec@1 57.500 (52.719) Prec@5 88.125 (82.253) Epoch: [61][3780/11272] Time 0.872 (0.804) Data 0.002 (0.002) Loss 1.9493 (1.7884) Prec@1 51.875 (52.712) Prec@5 80.625 (82.248) Epoch: [61][3790/11272] Time 0.775 (0.804) Data 0.002 (0.002) Loss 2.0299 (1.7885) Prec@1 48.125 (52.710) Prec@5 75.000 (82.247) Epoch: [61][3800/11272] Time 0.895 (0.804) Data 0.002 (0.002) Loss 1.6438 (1.7882) Prec@1 50.000 (52.715) Prec@5 87.500 (82.253) Epoch: [61][3810/11272] Time 0.854 (0.804) Data 0.001 (0.002) Loss 1.6386 (1.7882) Prec@1 58.125 (52.714) Prec@5 81.875 (82.249) Epoch: [61][3820/11272] Time 0.774 (0.804) Data 0.001 (0.002) Loss 1.8774 (1.7883) Prec@1 47.500 (52.711) Prec@5 83.750 (82.247) Epoch: [61][3830/11272] Time 0.740 (0.804) Data 0.001 (0.002) Loss 1.5503 (1.7883) Prec@1 59.375 (52.710) Prec@5 85.625 (82.250) Epoch: [61][3840/11272] Time 0.848 (0.804) Data 0.002 (0.002) Loss 1.8434 (1.7883) Prec@1 48.750 (52.711) Prec@5 83.750 (82.250) Epoch: [61][3850/11272] Time 0.832 (0.804) Data 0.001 (0.002) Loss 1.7230 (1.7882) Prec@1 54.375 (52.715) Prec@5 84.375 (82.252) Epoch: [61][3860/11272] Time 0.763 (0.804) Data 0.002 (0.002) Loss 1.6979 (1.7879) Prec@1 52.500 (52.715) Prec@5 86.250 (82.260) Epoch: [61][3870/11272] Time 0.763 (0.804) Data 0.002 (0.002) Loss 1.7288 (1.7877) Prec@1 55.000 (52.721) Prec@5 85.000 (82.262) Epoch: [61][3880/11272] Time 0.855 (0.804) Data 0.002 (0.002) Loss 2.0202 (1.7878) Prec@1 48.750 (52.718) Prec@5 76.250 (82.258) Epoch: [61][3890/11272] Time 0.915 (0.804) Data 0.001 (0.002) Loss 1.8681 (1.7877) Prec@1 53.750 (52.719) Prec@5 76.875 (82.263) Epoch: [61][3900/11272] Time 0.741 (0.804) Data 0.002 (0.002) Loss 1.7949 (1.7878) Prec@1 48.750 (52.716) Prec@5 79.375 (82.260) Epoch: [61][3910/11272] Time 0.719 (0.804) Data 0.002 (0.002) Loss 1.7242 (1.7878) Prec@1 51.250 (52.716) Prec@5 83.750 (82.261) Epoch: [61][3920/11272] Time 0.817 (0.804) Data 0.002 (0.002) Loss 1.7882 (1.7878) Prec@1 52.500 (52.716) Prec@5 84.375 (82.261) Epoch: [61][3930/11272] Time 0.727 (0.804) Data 0.003 (0.002) Loss 1.8099 (1.7876) Prec@1 51.875 (52.719) Prec@5 85.000 (82.264) Epoch: [61][3940/11272] Time 0.740 (0.804) Data 0.002 (0.002) Loss 2.1346 (1.7879) Prec@1 45.000 (52.713) Prec@5 75.625 (82.258) Epoch: [61][3950/11272] Time 0.901 (0.804) Data 0.001 (0.002) Loss 1.8816 (1.7879) Prec@1 52.500 (52.712) Prec@5 79.375 (82.257) Epoch: [61][3960/11272] Time 0.900 (0.804) Data 0.002 (0.002) Loss 1.6054 (1.7879) Prec@1 56.875 (52.709) Prec@5 84.375 (82.260) Epoch: [61][3970/11272] Time 0.725 (0.804) Data 0.002 (0.002) Loss 1.9127 (1.7880) Prec@1 53.125 (52.709) Prec@5 81.875 (82.257) Epoch: [61][3980/11272] Time 0.726 (0.804) Data 0.001 (0.002) Loss 1.7690 (1.7880) Prec@1 46.250 (52.707) Prec@5 84.375 (82.254) Epoch: [61][3990/11272] Time 0.826 (0.804) Data 0.002 (0.002) Loss 1.6349 (1.7879) Prec@1 58.750 (52.706) Prec@5 83.125 (82.255) Epoch: [61][4000/11272] Time 0.818 (0.804) Data 0.001 (0.002) Loss 1.6688 (1.7880) Prec@1 54.375 (52.703) Prec@5 85.625 (82.252) Epoch: [61][4010/11272] Time 0.742 (0.804) Data 0.002 (0.002) Loss 1.6875 (1.7881) Prec@1 56.875 (52.701) Prec@5 80.625 (82.251) Epoch: [61][4020/11272] Time 0.744 (0.804) Data 0.002 (0.002) Loss 1.5828 (1.7882) Prec@1 57.500 (52.696) Prec@5 84.375 (82.249) Epoch: [61][4030/11272] Time 0.828 (0.803) Data 0.001 (0.002) Loss 1.8340 (1.7882) Prec@1 49.375 (52.698) Prec@5 82.500 (82.253) Epoch: [61][4040/11272] Time 0.814 (0.803) Data 0.001 (0.002) Loss 1.9024 (1.7880) Prec@1 48.125 (52.699) Prec@5 83.125 (82.257) Epoch: [61][4050/11272] Time 0.708 (0.803) Data 0.002 (0.002) Loss 1.8306 (1.7880) Prec@1 53.125 (52.704) Prec@5 84.375 (82.256) Epoch: [61][4060/11272] Time 0.981 (0.803) Data 0.002 (0.002) Loss 1.5667 (1.7881) Prec@1 56.250 (52.707) Prec@5 87.500 (82.254) Epoch: [61][4070/11272] Time 0.819 (0.803) Data 0.002 (0.002) Loss 1.9276 (1.7883) Prec@1 50.625 (52.701) Prec@5 77.500 (82.251) Epoch: [61][4080/11272] Time 0.739 (0.803) Data 0.001 (0.002) Loss 1.9742 (1.7884) Prec@1 48.125 (52.700) Prec@5 81.250 (82.249) Epoch: [61][4090/11272] Time 0.760 (0.803) Data 0.002 (0.002) Loss 1.7742 (1.7884) Prec@1 51.250 (52.698) Prec@5 82.500 (82.250) Epoch: [61][4100/11272] Time 0.846 (0.803) Data 0.002 (0.002) Loss 1.8796 (1.7885) Prec@1 48.750 (52.700) Prec@5 78.750 (82.246) Epoch: [61][4110/11272] Time 0.850 (0.803) Data 0.001 (0.002) Loss 1.6386 (1.7885) Prec@1 56.875 (52.699) Prec@5 85.000 (82.244) Epoch: [61][4120/11272] Time 0.768 (0.803) Data 0.002 (0.002) Loss 1.9741 (1.7887) Prec@1 46.875 (52.698) Prec@5 79.375 (82.240) Epoch: [61][4130/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 1.8278 (1.7886) Prec@1 52.500 (52.697) Prec@5 77.500 (82.240) Epoch: [61][4140/11272] Time 0.846 (0.803) Data 0.001 (0.002) Loss 1.8464 (1.7885) Prec@1 57.500 (52.702) Prec@5 80.625 (82.241) Epoch: [61][4150/11272] Time 0.858 (0.803) Data 0.001 (0.002) Loss 1.9381 (1.7884) Prec@1 53.750 (52.704) Prec@5 79.375 (82.242) Epoch: [61][4160/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 1.7503 (1.7884) Prec@1 54.375 (52.707) Prec@5 84.375 (82.242) Epoch: [61][4170/11272] Time 0.752 (0.803) Data 0.002 (0.002) Loss 1.8099 (1.7885) Prec@1 55.000 (52.707) Prec@5 82.500 (82.239) Epoch: [61][4180/11272] Time 0.833 (0.803) Data 0.002 (0.002) Loss 1.8799 (1.7886) Prec@1 50.000 (52.704) Prec@5 77.500 (82.239) Epoch: [61][4190/11272] Time 0.849 (0.803) Data 0.001 (0.002) Loss 1.6065 (1.7883) Prec@1 59.375 (52.711) Prec@5 86.250 (82.243) Epoch: [61][4200/11272] Time 0.733 (0.803) Data 0.002 (0.002) Loss 1.7288 (1.7884) Prec@1 55.000 (52.712) Prec@5 80.000 (82.241) Epoch: [61][4210/11272] Time 0.914 (0.803) Data 0.002 (0.002) Loss 1.8948 (1.7884) Prec@1 51.250 (52.710) Prec@5 80.000 (82.242) Epoch: [61][4220/11272] Time 0.858 (0.803) Data 0.002 (0.002) Loss 1.7428 (1.7886) Prec@1 51.875 (52.703) Prec@5 84.375 (82.238) Epoch: [61][4230/11272] Time 0.735 (0.803) Data 0.002 (0.002) Loss 1.9347 (1.7887) Prec@1 48.750 (52.701) Prec@5 76.875 (82.235) Epoch: [61][4240/11272] Time 0.727 (0.803) Data 0.002 (0.002) Loss 1.4454 (1.7886) Prec@1 60.000 (52.704) Prec@5 86.250 (82.239) Epoch: [61][4250/11272] Time 0.801 (0.803) Data 0.002 (0.002) Loss 1.9575 (1.7886) Prec@1 50.000 (52.703) Prec@5 82.500 (82.238) Epoch: [61][4260/11272] Time 0.807 (0.803) Data 0.001 (0.002) Loss 1.8447 (1.7887) Prec@1 56.250 (52.703) Prec@5 83.125 (82.237) Epoch: [61][4270/11272] Time 0.716 (0.803) Data 0.001 (0.002) Loss 1.8179 (1.7885) Prec@1 51.875 (52.706) Prec@5 81.250 (82.236) Epoch: [61][4280/11272] Time 0.729 (0.803) Data 0.001 (0.002) Loss 1.7906 (1.7884) Prec@1 51.875 (52.707) Prec@5 84.375 (82.240) Epoch: [61][4290/11272] Time 0.817 (0.803) Data 0.001 (0.002) Loss 1.7891 (1.7885) Prec@1 51.875 (52.706) Prec@5 85.000 (82.240) Epoch: [61][4300/11272] Time 0.864 (0.803) Data 0.002 (0.002) Loss 1.5281 (1.7885) Prec@1 61.250 (52.707) Prec@5 90.000 (82.241) Epoch: [61][4310/11272] Time 0.750 (0.803) Data 0.002 (0.002) Loss 1.9918 (1.7885) Prec@1 52.500 (52.704) Prec@5 76.875 (82.242) Epoch: [61][4320/11272] Time 0.739 (0.803) Data 0.001 (0.002) Loss 1.7535 (1.7886) Prec@1 48.750 (52.702) Prec@5 81.875 (82.239) Epoch: [61][4330/11272] Time 0.823 (0.803) Data 0.001 (0.002) Loss 1.7722 (1.7886) Prec@1 53.750 (52.703) Prec@5 80.625 (82.238) Epoch: [61][4340/11272] Time 0.767 (0.803) Data 0.003 (0.002) Loss 1.8499 (1.7887) Prec@1 52.500 (52.707) Prec@5 81.875 (82.235) Epoch: [61][4350/11272] Time 0.727 (0.803) Data 0.001 (0.002) Loss 1.7232 (1.7888) Prec@1 52.500 (52.705) Prec@5 85.000 (82.233) Epoch: [61][4360/11272] Time 0.834 (0.803) Data 0.001 (0.002) Loss 1.6778 (1.7887) Prec@1 49.375 (52.707) Prec@5 82.500 (82.233) Epoch: [61][4370/11272] Time 0.813 (0.803) Data 0.001 (0.002) Loss 1.7055 (1.7888) Prec@1 55.000 (52.705) Prec@5 80.625 (82.229) Epoch: [61][4380/11272] Time 0.736 (0.803) Data 0.002 (0.002) Loss 1.7988 (1.7889) Prec@1 52.500 (52.703) Prec@5 80.625 (82.226) Epoch: [61][4390/11272] Time 0.742 (0.803) Data 0.002 (0.002) Loss 1.9474 (1.7889) Prec@1 53.125 (52.707) Prec@5 80.625 (82.228) Epoch: [61][4400/11272] Time 0.865 (0.803) Data 0.002 (0.002) Loss 1.8045 (1.7889) Prec@1 55.000 (52.710) Prec@5 80.625 (82.229) Epoch: [61][4410/11272] Time 0.829 (0.803) Data 0.002 (0.002) Loss 1.7715 (1.7890) Prec@1 49.375 (52.705) Prec@5 81.875 (82.228) Epoch: [61][4420/11272] Time 0.744 (0.803) Data 0.002 (0.002) Loss 1.8415 (1.7891) Prec@1 51.875 (52.703) Prec@5 80.000 (82.226) Epoch: [61][4430/11272] Time 0.713 (0.803) Data 0.002 (0.002) Loss 1.5660 (1.7891) Prec@1 56.250 (52.699) Prec@5 86.250 (82.225) Epoch: [61][4440/11272] Time 0.858 (0.803) Data 0.002 (0.002) Loss 1.7700 (1.7891) Prec@1 51.250 (52.699) Prec@5 86.250 (82.227) Epoch: [61][4450/11272] Time 0.869 (0.803) Data 0.002 (0.002) Loss 1.6501 (1.7890) Prec@1 53.750 (52.702) Prec@5 83.125 (82.231) Epoch: [61][4460/11272] Time 0.761 (0.803) Data 0.002 (0.002) Loss 1.7837 (1.7890) Prec@1 54.375 (52.703) Prec@5 86.250 (82.234) Epoch: [61][4470/11272] Time 0.865 (0.803) Data 0.002 (0.002) Loss 1.9324 (1.7891) Prec@1 48.750 (52.702) Prec@5 80.000 (82.230) Epoch: [61][4480/11272] Time 0.863 (0.803) Data 0.001 (0.002) Loss 1.6604 (1.7892) Prec@1 53.750 (52.702) Prec@5 83.750 (82.227) Epoch: [61][4490/11272] Time 0.758 (0.803) Data 0.001 (0.002) Loss 2.0280 (1.7891) Prec@1 51.250 (52.707) Prec@5 77.500 (82.229) Epoch: [61][4500/11272] Time 0.747 (0.803) Data 0.002 (0.002) Loss 1.8817 (1.7891) Prec@1 47.500 (52.707) Prec@5 86.875 (82.231) Epoch: [61][4510/11272] Time 0.886 (0.803) Data 0.001 (0.002) Loss 1.7749 (1.7891) Prec@1 48.750 (52.708) Prec@5 84.375 (82.230) Epoch: [61][4520/11272] Time 0.837 (0.803) Data 0.001 (0.002) Loss 1.6263 (1.7891) Prec@1 56.875 (52.708) Prec@5 82.500 (82.228) Epoch: [61][4530/11272] Time 0.779 (0.803) Data 0.002 (0.002) Loss 1.7812 (1.7892) Prec@1 55.625 (52.707) Prec@5 81.875 (82.226) Epoch: [61][4540/11272] Time 0.754 (0.803) Data 0.002 (0.002) Loss 1.9549 (1.7891) Prec@1 46.875 (52.715) Prec@5 81.250 (82.228) Epoch: [61][4550/11272] Time 0.873 (0.803) Data 0.002 (0.002) Loss 1.9353 (1.7891) Prec@1 50.625 (52.714) Prec@5 78.125 (82.228) Epoch: [61][4560/11272] Time 0.834 (0.803) Data 0.001 (0.002) Loss 1.5626 (1.7890) Prec@1 59.375 (52.717) Prec@5 86.875 (82.231) Epoch: [61][4570/11272] Time 0.728 (0.803) Data 0.001 (0.002) Loss 1.8467 (1.7891) Prec@1 48.750 (52.717) Prec@5 79.375 (82.226) Epoch: [61][4580/11272] Time 0.734 (0.803) Data 0.002 (0.002) Loss 1.7195 (1.7892) Prec@1 57.500 (52.714) Prec@5 86.250 (82.225) Epoch: [61][4590/11272] Time 0.936 (0.803) Data 0.002 (0.002) Loss 1.7002 (1.7891) Prec@1 51.250 (52.714) Prec@5 83.750 (82.224) Epoch: [61][4600/11272] Time 0.744 (0.803) Data 0.004 (0.002) Loss 1.6868 (1.7890) Prec@1 58.750 (52.717) Prec@5 80.000 (82.226) Epoch: [61][4610/11272] Time 0.754 (0.803) Data 0.003 (0.002) Loss 1.7347 (1.7891) Prec@1 51.875 (52.715) Prec@5 82.500 (82.223) Epoch: [61][4620/11272] Time 0.861 (0.803) Data 0.002 (0.002) Loss 1.5814 (1.7892) Prec@1 57.500 (52.711) Prec@5 86.250 (82.222) Epoch: [61][4630/11272] Time 0.839 (0.803) Data 0.001 (0.002) Loss 1.8165 (1.7893) Prec@1 49.375 (52.709) Prec@5 81.875 (82.219) Epoch: [61][4640/11272] Time 0.744 (0.803) Data 0.002 (0.002) Loss 1.8372 (1.7895) Prec@1 51.250 (52.705) Prec@5 80.625 (82.217) Epoch: [61][4650/11272] Time 0.729 (0.803) Data 0.002 (0.002) Loss 1.7427 (1.7895) Prec@1 52.500 (52.705) Prec@5 81.875 (82.217) Epoch: [61][4660/11272] Time 0.887 (0.803) Data 0.002 (0.002) Loss 2.0455 (1.7893) Prec@1 48.125 (52.708) Prec@5 76.875 (82.221) Epoch: [61][4670/11272] Time 0.840 (0.803) Data 0.001 (0.002) Loss 1.9754 (1.7894) Prec@1 45.000 (52.703) Prec@5 78.750 (82.217) Epoch: [61][4680/11272] Time 0.744 (0.803) Data 0.002 (0.002) Loss 1.9801 (1.7895) Prec@1 48.750 (52.701) Prec@5 78.750 (82.216) Epoch: [61][4690/11272] Time 0.728 (0.803) Data 0.002 (0.002) Loss 1.5517 (1.7894) Prec@1 60.625 (52.702) Prec@5 85.625 (82.217) Epoch: [61][4700/11272] Time 0.868 (0.803) Data 0.002 (0.002) Loss 1.6003 (1.7892) Prec@1 55.000 (52.704) Prec@5 85.000 (82.220) Epoch: [61][4710/11272] Time 0.864 (0.803) Data 0.002 (0.002) Loss 1.4715 (1.7891) Prec@1 57.500 (52.708) Prec@5 88.750 (82.221) Epoch: [61][4720/11272] Time 0.747 (0.803) Data 0.002 (0.002) Loss 1.5243 (1.7891) Prec@1 60.625 (52.709) Prec@5 86.250 (82.221) Epoch: [61][4730/11272] Time 0.852 (0.803) Data 0.001 (0.002) Loss 1.5561 (1.7892) Prec@1 58.125 (52.707) Prec@5 86.875 (82.218) Epoch: [61][4740/11272] Time 0.867 (0.803) Data 0.002 (0.002) Loss 2.1122 (1.7892) Prec@1 47.500 (52.702) Prec@5 78.750 (82.219) Epoch: [61][4750/11272] Time 0.734 (0.803) Data 0.001 (0.002) Loss 1.9219 (1.7893) Prec@1 46.875 (52.701) Prec@5 80.000 (82.217) Epoch: [61][4760/11272] Time 0.747 (0.803) Data 0.002 (0.002) Loss 1.7695 (1.7893) Prec@1 58.750 (52.703) Prec@5 83.125 (82.220) Epoch: [61][4770/11272] Time 0.881 (0.803) Data 0.002 (0.002) Loss 1.6099 (1.7894) Prec@1 52.500 (52.699) Prec@5 87.500 (82.219) Epoch: [61][4780/11272] Time 0.846 (0.803) Data 0.002 (0.002) Loss 1.6884 (1.7894) Prec@1 52.500 (52.699) Prec@5 83.125 (82.219) Epoch: [61][4790/11272] Time 0.750 (0.803) Data 0.002 (0.002) Loss 1.6889 (1.7892) Prec@1 54.375 (52.703) Prec@5 85.625 (82.222) Epoch: [61][4800/11272] Time 0.777 (0.803) Data 0.002 (0.002) Loss 1.7754 (1.7891) Prec@1 53.750 (52.707) Prec@5 81.250 (82.223) Epoch: [61][4810/11272] Time 0.834 (0.803) Data 0.001 (0.002) Loss 1.8662 (1.7890) Prec@1 50.000 (52.708) Prec@5 83.125 (82.226) Epoch: [61][4820/11272] Time 0.833 (0.803) Data 0.002 (0.002) Loss 1.7985 (1.7891) Prec@1 48.125 (52.705) Prec@5 82.500 (82.225) Epoch: [61][4830/11272] Time 0.736 (0.803) Data 0.001 (0.002) Loss 1.6275 (1.7892) Prec@1 51.875 (52.703) Prec@5 84.375 (82.223) Epoch: [61][4840/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 1.7386 (1.7892) Prec@1 53.750 (52.703) Prec@5 83.125 (82.226) Epoch: [61][4850/11272] Time 0.820 (0.803) Data 0.001 (0.002) Loss 1.6663 (1.7893) Prec@1 53.750 (52.701) Prec@5 85.000 (82.225) Epoch: [61][4860/11272] Time 0.778 (0.803) Data 0.003 (0.002) Loss 1.8086 (1.7891) Prec@1 50.625 (52.705) Prec@5 82.500 (82.229) Epoch: [61][4870/11272] Time 0.785 (0.803) Data 0.002 (0.002) Loss 1.7933 (1.7892) Prec@1 48.750 (52.702) Prec@5 83.125 (82.228) Epoch: [61][4880/11272] Time 0.825 (0.803) Data 0.001 (0.002) Loss 1.7275 (1.7892) Prec@1 58.750 (52.699) Prec@5 86.250 (82.230) Epoch: [61][4890/11272] Time 0.868 (0.803) Data 0.002 (0.002) Loss 1.8203 (1.7893) Prec@1 52.500 (52.699) Prec@5 80.625 (82.227) Epoch: [61][4900/11272] Time 0.749 (0.803) Data 0.001 (0.002) Loss 1.5965 (1.7892) Prec@1 58.750 (52.705) Prec@5 84.375 (82.229) Epoch: [61][4910/11272] Time 0.755 (0.803) Data 0.002 (0.002) Loss 1.7416 (1.7892) Prec@1 50.000 (52.702) Prec@5 84.375 (82.231) Epoch: [61][4920/11272] Time 0.817 (0.803) Data 0.001 (0.002) Loss 2.1553 (1.7894) Prec@1 42.500 (52.700) Prec@5 75.625 (82.226) Epoch: [61][4930/11272] Time 0.844 (0.803) Data 0.001 (0.002) Loss 1.6833 (1.7894) Prec@1 50.000 (52.699) Prec@5 85.625 (82.227) Epoch: [61][4940/11272] Time 0.731 (0.803) Data 0.001 (0.002) Loss 1.7250 (1.7894) Prec@1 55.625 (52.699) Prec@5 80.000 (82.226) Epoch: [61][4950/11272] Time 0.779 (0.803) Data 0.002 (0.002) Loss 1.6793 (1.7893) Prec@1 55.000 (52.702) Prec@5 88.125 (82.227) Epoch: [61][4960/11272] Time 0.842 (0.803) Data 0.001 (0.002) Loss 1.7050 (1.7892) Prec@1 54.375 (52.704) Prec@5 82.500 (82.229) Epoch: [61][4970/11272] Time 0.864 (0.803) Data 0.002 (0.002) Loss 1.8466 (1.7893) Prec@1 56.875 (52.702) Prec@5 81.250 (82.227) Epoch: [61][4980/11272] Time 0.738 (0.803) Data 0.002 (0.002) Loss 1.4718 (1.7892) Prec@1 60.000 (52.704) Prec@5 86.875 (82.229) Epoch: [61][4990/11272] Time 0.881 (0.802) Data 0.002 (0.002) Loss 1.9784 (1.7893) Prec@1 49.375 (52.704) Prec@5 80.000 (82.228) Epoch: [61][5000/11272] Time 0.913 (0.803) Data 0.002 (0.002) Loss 1.9339 (1.7893) Prec@1 46.875 (52.704) Prec@5 84.375 (82.231) Epoch: [61][5010/11272] Time 0.738 (0.802) Data 0.001 (0.002) Loss 1.7992 (1.7893) Prec@1 51.875 (52.703) Prec@5 79.375 (82.229) Epoch: [61][5020/11272] Time 0.737 (0.802) Data 0.001 (0.002) Loss 1.8168 (1.7894) Prec@1 51.250 (52.704) Prec@5 79.375 (82.228) Epoch: [61][5030/11272] Time 0.847 (0.802) Data 0.002 (0.002) Loss 1.9439 (1.7895) Prec@1 50.625 (52.703) Prec@5 80.000 (82.228) Epoch: [61][5040/11272] Time 0.828 (0.802) Data 0.001 (0.002) Loss 1.7951 (1.7894) Prec@1 55.000 (52.705) Prec@5 82.500 (82.227) Epoch: [61][5050/11272] Time 0.745 (0.802) Data 0.002 (0.002) Loss 1.8478 (1.7893) Prec@1 51.250 (52.708) Prec@5 83.125 (82.229) Epoch: [61][5060/11272] Time 0.753 (0.802) Data 0.002 (0.002) Loss 1.7463 (1.7892) Prec@1 54.375 (52.708) Prec@5 80.625 (82.230) Epoch: [61][5070/11272] Time 0.898 (0.802) Data 0.002 (0.002) Loss 1.7750 (1.7893) Prec@1 51.875 (52.708) Prec@5 85.625 (82.229) Epoch: [61][5080/11272] Time 0.833 (0.802) Data 0.001 (0.002) Loss 2.0161 (1.7893) Prec@1 47.500 (52.706) Prec@5 78.125 (82.228) Epoch: [61][5090/11272] Time 0.745 (0.802) Data 0.002 (0.002) Loss 1.6621 (1.7892) Prec@1 54.375 (52.707) Prec@5 83.125 (82.229) Epoch: [61][5100/11272] Time 0.728 (0.802) Data 0.002 (0.002) Loss 1.5580 (1.7891) Prec@1 60.625 (52.708) Prec@5 86.875 (82.229) Epoch: [61][5110/11272] Time 0.870 (0.802) Data 0.001 (0.002) Loss 1.6806 (1.7891) Prec@1 54.375 (52.708) Prec@5 82.500 (82.229) Epoch: [61][5120/11272] Time 0.822 (0.802) Data 0.002 (0.002) Loss 1.7483 (1.7891) Prec@1 53.125 (52.710) Prec@5 81.875 (82.231) Epoch: [61][5130/11272] Time 0.734 (0.802) Data 0.001 (0.002) Loss 1.9561 (1.7891) Prec@1 45.625 (52.708) Prec@5 79.375 (82.233) Epoch: [61][5140/11272] Time 0.858 (0.802) Data 0.001 (0.002) Loss 1.8936 (1.7891) Prec@1 53.750 (52.709) Prec@5 82.500 (82.232) Epoch: [61][5150/11272] Time 0.828 (0.802) Data 0.001 (0.002) Loss 1.7769 (1.7890) Prec@1 46.875 (52.710) Prec@5 85.000 (82.234) Epoch: [61][5160/11272] Time 0.741 (0.802) Data 0.002 (0.002) Loss 1.8032 (1.7890) Prec@1 49.375 (52.710) Prec@5 80.000 (82.234) Epoch: [61][5170/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.8633 (1.7890) Prec@1 53.125 (52.711) Prec@5 81.875 (82.233) Epoch: [61][5180/11272] Time 0.838 (0.802) Data 0.001 (0.002) Loss 1.9697 (1.7890) Prec@1 51.875 (52.711) Prec@5 78.125 (82.235) Epoch: [61][5190/11272] Time 0.820 (0.802) Data 0.001 (0.002) Loss 1.8040 (1.7890) Prec@1 55.000 (52.710) Prec@5 82.500 (82.233) Epoch: [61][5200/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.9005 (1.7891) Prec@1 47.500 (52.710) Prec@5 78.750 (82.231) Epoch: [61][5210/11272] Time 0.753 (0.802) Data 0.002 (0.002) Loss 1.5174 (1.7890) Prec@1 61.250 (52.714) Prec@5 87.500 (82.234) Epoch: [61][5220/11272] Time 0.829 (0.802) Data 0.001 (0.002) Loss 1.9194 (1.7889) Prec@1 53.125 (52.716) Prec@5 78.125 (82.235) Epoch: [61][5230/11272] Time 0.829 (0.802) Data 0.002 (0.002) Loss 1.6617 (1.7890) Prec@1 56.250 (52.717) Prec@5 86.875 (82.234) Epoch: [61][5240/11272] Time 0.736 (0.802) Data 0.001 (0.002) Loss 1.9385 (1.7890) Prec@1 50.000 (52.716) Prec@5 79.375 (82.232) Epoch: [61][5250/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 1.6109 (1.7891) Prec@1 56.875 (52.715) Prec@5 79.375 (82.231) Epoch: [61][5260/11272] Time 0.860 (0.802) Data 0.002 (0.002) Loss 1.8356 (1.7891) Prec@1 48.125 (52.714) Prec@5 84.375 (82.232) Epoch: [61][5270/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 1.7432 (1.7890) Prec@1 53.750 (52.715) Prec@5 83.125 (82.232) Epoch: [61][5280/11272] Time 0.738 (0.802) Data 0.002 (0.002) Loss 1.8537 (1.7890) Prec@1 46.875 (52.714) Prec@5 78.750 (82.230) Epoch: [61][5290/11272] Time 0.868 (0.802) Data 0.002 (0.002) Loss 1.6676 (1.7889) Prec@1 51.875 (52.715) Prec@5 82.500 (82.229) Epoch: [61][5300/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 1.7551 (1.7889) Prec@1 55.625 (52.715) Prec@5 82.500 (82.229) Epoch: [61][5310/11272] Time 0.729 (0.802) Data 0.002 (0.002) Loss 1.7673 (1.7888) Prec@1 49.375 (52.717) Prec@5 84.375 (82.231) Epoch: [61][5320/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 1.7017 (1.7887) Prec@1 58.125 (52.722) Prec@5 86.250 (82.233) Epoch: [61][5330/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 1.7691 (1.7888) Prec@1 50.625 (52.717) Prec@5 84.375 (82.232) Epoch: [61][5340/11272] Time 0.912 (0.802) Data 0.001 (0.002) Loss 1.9552 (1.7889) Prec@1 50.000 (52.714) Prec@5 78.125 (82.231) Epoch: [61][5350/11272] Time 0.734 (0.802) Data 0.002 (0.002) Loss 1.7439 (1.7890) Prec@1 58.750 (52.715) Prec@5 80.625 (82.228) Epoch: [61][5360/11272] Time 0.753 (0.802) Data 0.002 (0.002) Loss 1.8266 (1.7890) Prec@1 49.375 (52.716) Prec@5 82.500 (82.227) Epoch: [61][5370/11272] Time 0.847 (0.802) Data 0.002 (0.002) Loss 1.6457 (1.7890) Prec@1 52.500 (52.712) Prec@5 85.625 (82.227) Epoch: [61][5380/11272] Time 0.810 (0.802) Data 0.001 (0.002) Loss 1.8224 (1.7890) Prec@1 55.000 (52.713) Prec@5 82.500 (82.228) Epoch: [61][5390/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.7004 (1.7891) Prec@1 55.625 (52.712) Prec@5 85.000 (82.225) Epoch: [61][5400/11272] Time 0.866 (0.802) Data 0.002 (0.002) Loss 1.7200 (1.7891) Prec@1 58.125 (52.713) Prec@5 85.625 (82.226) Epoch: [61][5410/11272] Time 0.869 (0.802) Data 0.001 (0.002) Loss 1.8115 (1.7891) Prec@1 51.250 (52.712) Prec@5 83.125 (82.227) Epoch: [61][5420/11272] Time 0.725 (0.802) Data 0.002 (0.002) Loss 1.7072 (1.7891) Prec@1 58.750 (52.713) Prec@5 81.250 (82.228) Epoch: [61][5430/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.8401 (1.7890) Prec@1 52.500 (52.712) Prec@5 83.750 (82.229) Epoch: [61][5440/11272] Time 0.890 (0.802) Data 0.002 (0.002) Loss 1.9139 (1.7891) Prec@1 53.750 (52.712) Prec@5 81.875 (82.228) Epoch: [61][5450/11272] Time 0.914 (0.802) Data 0.001 (0.002) Loss 1.8075 (1.7890) Prec@1 55.000 (52.716) Prec@5 78.750 (82.229) Epoch: [61][5460/11272] Time 0.727 (0.802) Data 0.002 (0.002) Loss 1.8173 (1.7891) Prec@1 50.625 (52.714) Prec@5 76.250 (82.227) Epoch: [61][5470/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.7398 (1.7891) Prec@1 48.125 (52.714) Prec@5 85.625 (82.228) Epoch: [61][5480/11272] Time 0.844 (0.802) Data 0.001 (0.002) Loss 1.9191 (1.7891) Prec@1 49.375 (52.711) Prec@5 79.375 (82.226) Epoch: [61][5490/11272] Time 0.815 (0.802) Data 0.001 (0.002) Loss 1.4921 (1.7891) Prec@1 60.625 (52.711) Prec@5 86.875 (82.226) Epoch: [61][5500/11272] Time 0.758 (0.802) Data 0.001 (0.002) Loss 1.7069 (1.7891) Prec@1 51.875 (52.711) Prec@5 85.625 (82.226) Epoch: [61][5510/11272] Time 0.731 (0.802) Data 0.001 (0.002) Loss 1.7532 (1.7891) Prec@1 51.250 (52.715) Prec@5 82.500 (82.226) Epoch: [61][5520/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 1.6648 (1.7891) Prec@1 51.250 (52.715) Prec@5 84.375 (82.224) Epoch: [61][5530/11272] Time 0.730 (0.802) Data 0.003 (0.002) Loss 1.8335 (1.7891) Prec@1 55.000 (52.719) Prec@5 80.000 (82.227) Epoch: [61][5540/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 1.7627 (1.7889) Prec@1 55.625 (52.721) Prec@5 82.500 (82.229) Epoch: [61][5550/11272] Time 0.841 (0.802) Data 0.002 (0.002) Loss 1.8631 (1.7889) Prec@1 52.500 (52.723) Prec@5 81.250 (82.230) Epoch: [61][5560/11272] Time 0.823 (0.802) Data 0.001 (0.002) Loss 1.8029 (1.7889) Prec@1 50.625 (52.723) Prec@5 81.875 (82.228) Epoch: [61][5570/11272] Time 0.737 (0.802) Data 0.001 (0.002) Loss 1.7868 (1.7890) Prec@1 55.000 (52.721) Prec@5 85.625 (82.227) Epoch: [61][5580/11272] Time 0.738 (0.802) Data 0.001 (0.002) Loss 1.6186 (1.7890) Prec@1 57.500 (52.718) Prec@5 84.375 (82.226) Epoch: [61][5590/11272] Time 0.833 (0.802) Data 0.002 (0.002) Loss 1.8546 (1.7890) Prec@1 51.875 (52.719) Prec@5 78.125 (82.228) Epoch: [61][5600/11272] Time 0.840 (0.802) Data 0.001 (0.002) Loss 1.4957 (1.7888) Prec@1 61.250 (52.721) Prec@5 87.500 (82.232) Epoch: [61][5610/11272] Time 0.740 (0.802) Data 0.002 (0.002) Loss 1.8765 (1.7887) Prec@1 50.000 (52.724) Prec@5 79.375 (82.234) Epoch: [61][5620/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.8394 (1.7887) Prec@1 45.000 (52.723) Prec@5 84.375 (82.233) Epoch: [61][5630/11272] Time 0.885 (0.801) Data 0.001 (0.002) Loss 1.8025 (1.7887) Prec@1 53.750 (52.722) Prec@5 77.500 (82.231) Epoch: [61][5640/11272] Time 0.831 (0.801) Data 0.001 (0.002) Loss 1.7180 (1.7887) Prec@1 56.875 (52.724) Prec@5 83.125 (82.231) Epoch: [61][5650/11272] Time 0.725 (0.801) Data 0.002 (0.002) Loss 1.5967 (1.7887) Prec@1 55.625 (52.726) Prec@5 85.000 (82.232) Epoch: [61][5660/11272] Time 0.839 (0.801) Data 0.001 (0.002) Loss 1.6136 (1.7885) Prec@1 55.625 (52.727) Prec@5 86.875 (82.235) Epoch: [61][5670/11272] Time 0.820 (0.801) Data 0.001 (0.002) Loss 1.6879 (1.7885) Prec@1 56.875 (52.728) Prec@5 83.750 (82.234) Epoch: [61][5680/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 1.6124 (1.7886) Prec@1 53.750 (52.726) Prec@5 84.375 (82.233) Epoch: [61][5690/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 1.7302 (1.7885) Prec@1 57.500 (52.729) Prec@5 85.625 (82.234) Epoch: [61][5700/11272] Time 0.839 (0.801) Data 0.002 (0.002) Loss 1.8258 (1.7886) Prec@1 49.375 (52.728) Prec@5 86.875 (82.235) Epoch: [61][5710/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 1.8396 (1.7886) Prec@1 55.000 (52.728) Prec@5 80.000 (82.234) Epoch: [61][5720/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 1.5592 (1.7886) Prec@1 55.625 (52.727) Prec@5 89.375 (82.238) Epoch: [61][5730/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.8864 (1.7886) Prec@1 52.500 (52.726) Prec@5 80.000 (82.240) Epoch: [61][5740/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 1.7703 (1.7885) Prec@1 52.500 (52.727) Prec@5 80.000 (82.241) Epoch: [61][5750/11272] Time 0.828 (0.801) Data 0.001 (0.002) Loss 1.8840 (1.7886) Prec@1 48.125 (52.724) Prec@5 85.000 (82.240) Epoch: [61][5760/11272] Time 0.722 (0.801) Data 0.001 (0.002) Loss 1.6538 (1.7885) Prec@1 53.125 (52.724) Prec@5 88.750 (82.243) Epoch: [61][5770/11272] Time 0.745 (0.801) Data 0.002 (0.002) Loss 1.6727 (1.7886) Prec@1 50.000 (52.720) Prec@5 85.625 (82.242) Epoch: [61][5780/11272] Time 0.825 (0.801) Data 0.001 (0.002) Loss 1.5231 (1.7884) Prec@1 55.000 (52.722) Prec@5 86.875 (82.246) Epoch: [61][5790/11272] Time 0.733 (0.801) Data 0.003 (0.002) Loss 1.9237 (1.7884) Prec@1 48.750 (52.722) Prec@5 83.125 (82.246) Epoch: [61][5800/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.7072 (1.7885) Prec@1 57.500 (52.724) Prec@5 83.125 (82.244) Epoch: [61][5810/11272] Time 0.850 (0.801) Data 0.001 (0.002) Loss 1.7204 (1.7885) Prec@1 53.125 (52.725) Prec@5 86.875 (82.246) Epoch: [61][5820/11272] Time 0.814 (0.801) Data 0.001 (0.002) Loss 1.6317 (1.7883) Prec@1 54.375 (52.728) Prec@5 81.875 (82.248) Epoch: [61][5830/11272] Time 0.723 (0.801) Data 0.001 (0.002) Loss 1.9854 (1.7884) Prec@1 54.375 (52.729) Prec@5 76.875 (82.247) Epoch: [61][5840/11272] Time 0.756 (0.801) Data 0.002 (0.002) Loss 1.8265 (1.7884) Prec@1 53.125 (52.730) Prec@5 80.000 (82.247) Epoch: [61][5850/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 1.9771 (1.7884) Prec@1 47.500 (52.729) Prec@5 78.750 (82.247) Epoch: [61][5860/11272] Time 0.819 (0.801) Data 0.001 (0.002) Loss 1.6852 (1.7884) Prec@1 56.250 (52.731) Prec@5 86.250 (82.248) Epoch: [61][5870/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 2.0397 (1.7884) Prec@1 50.000 (52.729) Prec@5 77.500 (82.247) Epoch: [61][5880/11272] Time 0.734 (0.801) Data 0.001 (0.002) Loss 1.6874 (1.7885) Prec@1 54.375 (52.727) Prec@5 82.500 (82.245) Epoch: [61][5890/11272] Time 0.872 (0.801) Data 0.001 (0.002) Loss 1.9901 (1.7885) Prec@1 48.125 (52.725) Prec@5 80.000 (82.244) Epoch: [61][5900/11272] Time 0.814 (0.801) Data 0.001 (0.002) Loss 1.8738 (1.7885) Prec@1 51.875 (52.723) Prec@5 77.500 (82.243) Epoch: [61][5910/11272] Time 0.753 (0.801) Data 0.001 (0.002) Loss 1.7498 (1.7886) Prec@1 59.375 (52.721) Prec@5 81.875 (82.244) Epoch: [61][5920/11272] Time 0.865 (0.801) Data 0.002 (0.002) Loss 1.8242 (1.7886) Prec@1 48.750 (52.720) Prec@5 81.250 (82.241) Epoch: [61][5930/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.7922 (1.7887) Prec@1 51.875 (52.718) Prec@5 83.750 (82.241) Epoch: [61][5940/11272] Time 0.745 (0.801) Data 0.001 (0.002) Loss 1.9395 (1.7886) Prec@1 50.000 (52.722) Prec@5 80.625 (82.243) Epoch: [61][5950/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.6396 (1.7885) Prec@1 50.625 (52.721) Prec@5 84.375 (82.243) Epoch: [61][5960/11272] Time 0.827 (0.801) Data 0.002 (0.002) Loss 1.9045 (1.7887) Prec@1 53.750 (52.719) Prec@5 80.625 (82.242) Epoch: [61][5970/11272] Time 0.865 (0.801) Data 0.001 (0.002) Loss 1.9706 (1.7887) Prec@1 48.750 (52.719) Prec@5 76.250 (82.241) Epoch: [61][5980/11272] Time 0.747 (0.801) Data 0.002 (0.002) Loss 1.8572 (1.7887) Prec@1 55.625 (52.719) Prec@5 79.375 (82.239) Epoch: [61][5990/11272] Time 0.733 (0.801) Data 0.001 (0.002) Loss 1.8123 (1.7888) Prec@1 51.875 (52.720) Prec@5 81.250 (82.238) Epoch: [61][6000/11272] Time 0.845 (0.801) Data 0.001 (0.002) Loss 2.1129 (1.7888) Prec@1 42.500 (52.718) Prec@5 78.750 (82.238) Epoch: [61][6010/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 1.7738 (1.7887) Prec@1 52.500 (52.722) Prec@5 81.250 (82.240) Epoch: [61][6020/11272] Time 0.743 (0.800) Data 0.001 (0.002) Loss 1.8439 (1.7887) Prec@1 53.750 (52.725) Prec@5 76.875 (82.238) Epoch: [61][6030/11272] Time 0.736 (0.800) Data 0.002 (0.002) Loss 1.8569 (1.7888) Prec@1 55.625 (52.722) Prec@5 79.375 (82.238) Epoch: [61][6040/11272] Time 0.828 (0.800) Data 0.001 (0.002) Loss 1.9342 (1.7889) Prec@1 51.875 (52.719) Prec@5 82.500 (82.237) Epoch: [61][6050/11272] Time 0.847 (0.800) Data 0.001 (0.002) Loss 1.7515 (1.7889) Prec@1 52.500 (52.723) Prec@5 83.750 (82.236) Epoch: [61][6060/11272] Time 0.739 (0.800) Data 0.001 (0.002) Loss 1.9864 (1.7890) Prec@1 46.250 (52.722) Prec@5 79.375 (82.236) Epoch: [61][6070/11272] Time 0.886 (0.800) Data 0.001 (0.002) Loss 1.5870 (1.7889) Prec@1 55.625 (52.723) Prec@5 89.375 (82.237) Epoch: [61][6080/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 1.8866 (1.7888) Prec@1 51.875 (52.724) Prec@5 81.250 (82.239) Epoch: [61][6090/11272] Time 0.716 (0.800) Data 0.001 (0.002) Loss 2.0481 (1.7888) Prec@1 46.875 (52.723) Prec@5 77.500 (82.239) Epoch: [61][6100/11272] Time 0.726 (0.800) Data 0.002 (0.002) Loss 2.0238 (1.7889) Prec@1 55.000 (52.721) Prec@5 79.375 (82.240) Epoch: [61][6110/11272] Time 0.885 (0.800) Data 0.001 (0.002) Loss 1.7677 (1.7889) Prec@1 50.625 (52.719) Prec@5 84.375 (82.239) Epoch: [61][6120/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 1.5089 (1.7888) Prec@1 59.375 (52.720) Prec@5 86.250 (82.242) Epoch: [61][6130/11272] Time 0.738 (0.800) Data 0.001 (0.002) Loss 1.9095 (1.7889) Prec@1 51.250 (52.716) Prec@5 78.750 (82.239) Epoch: [61][6140/11272] Time 0.740 (0.800) Data 0.001 (0.002) Loss 1.7566 (1.7890) Prec@1 55.625 (52.717) Prec@5 80.625 (82.238) Epoch: [61][6150/11272] Time 0.819 (0.800) Data 0.001 (0.002) Loss 1.9252 (1.7890) Prec@1 48.750 (52.716) Prec@5 83.125 (82.239) Epoch: [61][6160/11272] Time 0.821 (0.800) Data 0.001 (0.002) Loss 1.9125 (1.7889) Prec@1 46.250 (52.716) Prec@5 81.250 (82.239) Epoch: [61][6170/11272] Time 0.735 (0.800) Data 0.001 (0.002) Loss 1.7353 (1.7890) Prec@1 55.000 (52.716) Prec@5 83.125 (82.238) Epoch: [61][6180/11272] Time 0.720 (0.800) Data 0.001 (0.002) Loss 1.8297 (1.7890) Prec@1 47.500 (52.715) Prec@5 83.125 (82.238) Epoch: [61][6190/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 2.0249 (1.7891) Prec@1 45.625 (52.713) Prec@5 78.750 (82.236) Epoch: [61][6200/11272] Time 0.735 (0.800) Data 0.002 (0.002) Loss 1.8366 (1.7891) Prec@1 51.875 (52.714) Prec@5 81.250 (82.235) Epoch: [61][6210/11272] Time 0.722 (0.800) Data 0.002 (0.002) Loss 1.9642 (1.7892) Prec@1 51.875 (52.712) Prec@5 78.125 (82.234) Epoch: [61][6220/11272] Time 0.874 (0.800) Data 0.001 (0.002) Loss 1.8957 (1.7892) Prec@1 50.625 (52.712) Prec@5 82.500 (82.234) Epoch: [61][6230/11272] Time 0.843 (0.800) Data 0.002 (0.002) Loss 1.7167 (1.7891) Prec@1 59.375 (52.715) Prec@5 86.250 (82.236) Epoch: [61][6240/11272] Time 0.724 (0.800) Data 0.002 (0.002) Loss 1.8171 (1.7891) Prec@1 54.375 (52.714) Prec@5 81.250 (82.236) Epoch: [61][6250/11272] Time 0.734 (0.800) Data 0.002 (0.002) Loss 1.8465 (1.7889) Prec@1 46.250 (52.718) Prec@5 83.750 (82.239) Epoch: [61][6260/11272] Time 0.905 (0.800) Data 0.002 (0.002) Loss 1.7495 (1.7889) Prec@1 52.500 (52.718) Prec@5 85.625 (82.241) Epoch: [61][6270/11272] Time 0.829 (0.800) Data 0.002 (0.002) Loss 1.7547 (1.7889) Prec@1 47.500 (52.716) Prec@5 83.750 (82.241) Epoch: [61][6280/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 1.4801 (1.7889) Prec@1 59.375 (52.717) Prec@5 88.750 (82.240) Epoch: [61][6290/11272] Time 0.731 (0.800) Data 0.002 (0.002) Loss 1.7108 (1.7889) Prec@1 55.625 (52.719) Prec@5 83.125 (82.240) Epoch: [61][6300/11272] Time 0.826 (0.800) Data 0.001 (0.002) Loss 1.7901 (1.7888) Prec@1 54.375 (52.724) Prec@5 82.500 (82.241) Epoch: [61][6310/11272] Time 0.815 (0.800) Data 0.001 (0.002) Loss 1.5516 (1.7888) Prec@1 62.500 (52.724) Prec@5 84.375 (82.240) Epoch: [61][6320/11272] Time 0.733 (0.800) Data 0.001 (0.002) Loss 1.8035 (1.7889) Prec@1 52.500 (52.722) Prec@5 81.250 (82.240) Epoch: [61][6330/11272] Time 0.844 (0.800) Data 0.002 (0.002) Loss 1.9063 (1.7888) Prec@1 49.375 (52.722) Prec@5 76.875 (82.240) Epoch: [61][6340/11272] Time 0.811 (0.800) Data 0.001 (0.002) Loss 1.5872 (1.7889) Prec@1 59.375 (52.722) Prec@5 86.250 (82.239) Epoch: [61][6350/11272] Time 0.722 (0.800) Data 0.001 (0.002) Loss 1.7263 (1.7890) Prec@1 56.250 (52.722) Prec@5 86.250 (82.237) Epoch: [61][6360/11272] Time 0.743 (0.800) Data 0.002 (0.002) Loss 1.8868 (1.7889) Prec@1 48.125 (52.723) Prec@5 82.500 (82.237) Epoch: [61][6370/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 1.5049 (1.7889) Prec@1 61.875 (52.722) Prec@5 86.875 (82.238) Epoch: [61][6380/11272] Time 0.831 (0.800) Data 0.002 (0.002) Loss 1.8548 (1.7889) Prec@1 53.750 (52.724) Prec@5 80.000 (82.240) Epoch: [61][6390/11272] Time 0.750 (0.800) Data 0.001 (0.002) Loss 1.8403 (1.7887) Prec@1 46.875 (52.726) Prec@5 81.875 (82.242) Epoch: [61][6400/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 1.6764 (1.7887) Prec@1 56.250 (52.729) Prec@5 86.250 (82.243) Epoch: [61][6410/11272] Time 0.858 (0.800) Data 0.001 (0.002) Loss 1.8698 (1.7887) Prec@1 52.500 (52.730) Prec@5 79.375 (82.243) Epoch: [61][6420/11272] Time 0.822 (0.800) Data 0.001 (0.002) Loss 1.9610 (1.7887) Prec@1 48.125 (52.732) Prec@5 77.500 (82.241) Epoch: [61][6430/11272] Time 0.729 (0.800) Data 0.002 (0.002) Loss 1.6430 (1.7887) Prec@1 56.250 (52.735) Prec@5 86.250 (82.244) Epoch: [61][6440/11272] Time 0.733 (0.800) Data 0.002 (0.002) Loss 1.5761 (1.7886) Prec@1 64.375 (52.739) Prec@5 81.250 (82.244) Epoch: [61][6450/11272] Time 0.830 (0.800) Data 0.001 (0.002) Loss 1.8380 (1.7887) Prec@1 50.625 (52.736) Prec@5 79.375 (82.243) Epoch: [61][6460/11272] Time 0.779 (0.800) Data 0.004 (0.002) Loss 1.9058 (1.7887) Prec@1 50.000 (52.737) Prec@5 82.500 (82.243) Epoch: [61][6470/11272] Time 0.746 (0.800) Data 0.001 (0.002) Loss 1.7334 (1.7886) Prec@1 48.125 (52.737) Prec@5 80.625 (82.242) Epoch: [61][6480/11272] Time 0.842 (0.800) Data 0.002 (0.002) Loss 1.6434 (1.7886) Prec@1 55.000 (52.736) Prec@5 85.625 (82.243) Epoch: [61][6490/11272] Time 0.838 (0.800) Data 0.001 (0.002) Loss 1.8907 (1.7887) Prec@1 47.500 (52.737) Prec@5 82.500 (82.241) Epoch: [61][6500/11272] Time 0.750 (0.800) Data 0.001 (0.002) Loss 2.0652 (1.7887) Prec@1 47.500 (52.736) Prec@5 75.625 (82.241) Epoch: [61][6510/11272] Time 0.748 (0.799) Data 0.002 (0.002) Loss 1.6997 (1.7887) Prec@1 48.750 (52.735) Prec@5 85.625 (82.240) Epoch: [61][6520/11272] Time 0.826 (0.799) Data 0.001 (0.002) Loss 1.9666 (1.7887) Prec@1 52.500 (52.736) Prec@5 77.500 (82.240) Epoch: [61][6530/11272] Time 0.807 (0.799) Data 0.001 (0.002) Loss 1.9251 (1.7887) Prec@1 47.500 (52.734) Prec@5 80.000 (82.240) Epoch: [61][6540/11272] Time 0.734 (0.799) Data 0.002 (0.002) Loss 1.7609 (1.7886) Prec@1 55.625 (52.734) Prec@5 80.000 (82.242) Epoch: [61][6550/11272] Time 0.753 (0.799) Data 0.002 (0.002) Loss 1.7445 (1.7886) Prec@1 57.500 (52.733) Prec@5 83.125 (82.243) Epoch: [61][6560/11272] Time 0.832 (0.799) Data 0.001 (0.002) Loss 1.7391 (1.7884) Prec@1 51.250 (52.738) Prec@5 80.000 (82.247) Epoch: [61][6570/11272] Time 0.823 (0.799) Data 0.001 (0.002) Loss 1.9480 (1.7885) Prec@1 47.500 (52.736) Prec@5 79.375 (82.245) Epoch: [61][6580/11272] Time 0.735 (0.799) Data 0.001 (0.002) Loss 1.8695 (1.7885) Prec@1 50.000 (52.737) Prec@5 80.000 (82.244) Epoch: [61][6590/11272] Time 0.814 (0.799) Data 0.001 (0.002) Loss 1.9028 (1.7885) Prec@1 53.750 (52.736) Prec@5 79.375 (82.244) Epoch: [61][6600/11272] Time 0.826 (0.799) Data 0.001 (0.002) Loss 1.8638 (1.7886) Prec@1 53.750 (52.735) Prec@5 76.875 (82.243) Epoch: [61][6610/11272] Time 0.751 (0.799) Data 0.001 (0.002) Loss 1.8681 (1.7885) Prec@1 56.875 (52.737) Prec@5 81.250 (82.245) Epoch: [61][6620/11272] Time 0.720 (0.799) Data 0.001 (0.002) Loss 1.8963 (1.7885) Prec@1 48.125 (52.735) Prec@5 81.250 (82.245) Epoch: [61][6630/11272] Time 0.868 (0.799) Data 0.001 (0.002) Loss 1.9113 (1.7886) Prec@1 54.375 (52.735) Prec@5 80.625 (82.241) Epoch: [61][6640/11272] Time 0.876 (0.799) Data 0.001 (0.002) Loss 1.6273 (1.7886) Prec@1 60.625 (52.736) Prec@5 80.625 (82.242) Epoch: [61][6650/11272] Time 0.719 (0.799) Data 0.001 (0.002) Loss 1.8134 (1.7885) Prec@1 51.250 (52.736) Prec@5 83.125 (82.243) Epoch: [61][6660/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 2.1232 (1.7886) Prec@1 42.500 (52.734) Prec@5 76.250 (82.242) Epoch: [61][6670/11272] Time 0.843 (0.799) Data 0.002 (0.002) Loss 1.6422 (1.7886) Prec@1 57.500 (52.734) Prec@5 85.625 (82.242) Epoch: [61][6680/11272] Time 0.861 (0.799) Data 0.001 (0.002) Loss 1.6034 (1.7885) Prec@1 55.625 (52.733) Prec@5 85.625 (82.243) Epoch: [61][6690/11272] Time 0.708 (0.799) Data 0.001 (0.002) Loss 1.9272 (1.7883) Prec@1 47.500 (52.734) Prec@5 83.750 (82.249) Epoch: [61][6700/11272] Time 0.742 (0.799) Data 0.002 (0.002) Loss 1.6877 (1.7883) Prec@1 55.000 (52.736) Prec@5 84.375 (82.252) Epoch: [61][6710/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 1.7881 (1.7882) Prec@1 50.625 (52.736) Prec@5 83.125 (82.253) Epoch: [61][6720/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 1.8952 (1.7884) Prec@1 50.625 (52.733) Prec@5 78.125 (82.251) Epoch: [61][6730/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.6692 (1.7882) Prec@1 53.750 (52.738) Prec@5 83.750 (82.255) Epoch: [61][6740/11272] Time 0.846 (0.799) Data 0.001 (0.002) Loss 1.7576 (1.7883) Prec@1 55.000 (52.736) Prec@5 81.875 (82.254) Epoch: [61][6750/11272] Time 0.832 (0.799) Data 0.001 (0.002) Loss 1.6828 (1.7883) Prec@1 55.000 (52.737) Prec@5 86.250 (82.253) Epoch: [61][6760/11272] Time 0.719 (0.799) Data 0.002 (0.002) Loss 1.9242 (1.7882) Prec@1 52.500 (52.737) Prec@5 81.875 (82.255) Epoch: [61][6770/11272] Time 0.730 (0.799) Data 0.002 (0.002) Loss 1.7129 (1.7882) Prec@1 51.875 (52.739) Prec@5 83.750 (82.254) Epoch: [61][6780/11272] Time 0.880 (0.799) Data 0.001 (0.002) Loss 1.6437 (1.7881) Prec@1 56.875 (52.740) Prec@5 85.625 (82.255) Epoch: [61][6790/11272] Time 0.817 (0.799) Data 0.001 (0.002) Loss 1.8671 (1.7881) Prec@1 48.750 (52.741) Prec@5 79.375 (82.256) Epoch: [61][6800/11272] Time 0.740 (0.799) Data 0.002 (0.002) Loss 1.8333 (1.7881) Prec@1 51.875 (52.739) Prec@5 80.000 (82.257) Epoch: [61][6810/11272] Time 0.771 (0.799) Data 0.002 (0.002) Loss 1.8966 (1.7881) Prec@1 48.125 (52.739) Prec@5 78.125 (82.254) Epoch: [61][6820/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.8108 (1.7882) Prec@1 51.250 (52.738) Prec@5 80.000 (82.254) Epoch: [61][6830/11272] Time 0.848 (0.799) Data 0.001 (0.002) Loss 1.7357 (1.7882) Prec@1 57.500 (52.740) Prec@5 84.375 (82.254) Epoch: [61][6840/11272] Time 0.716 (0.799) Data 0.001 (0.002) Loss 1.8051 (1.7882) Prec@1 57.500 (52.742) Prec@5 78.750 (82.253) Epoch: [61][6850/11272] Time 0.853 (0.799) Data 0.002 (0.002) Loss 1.8033 (1.7882) Prec@1 51.875 (52.744) Prec@5 82.500 (82.255) Epoch: [61][6860/11272] Time 0.842 (0.799) Data 0.002 (0.002) Loss 1.7850 (1.7882) Prec@1 52.500 (52.745) Prec@5 77.500 (82.254) Epoch: [61][6870/11272] Time 0.727 (0.799) Data 0.002 (0.002) Loss 1.8906 (1.7882) Prec@1 47.500 (52.746) Prec@5 81.250 (82.253) Epoch: [61][6880/11272] Time 0.760 (0.799) Data 0.001 (0.002) Loss 1.8092 (1.7882) Prec@1 46.250 (52.744) Prec@5 86.250 (82.252) Epoch: [61][6890/11272] Time 0.828 (0.799) Data 0.002 (0.002) Loss 1.8372 (1.7883) Prec@1 52.500 (52.742) Prec@5 80.000 (82.251) Epoch: [61][6900/11272] Time 0.820 (0.799) Data 0.001 (0.002) Loss 1.7608 (1.7883) Prec@1 52.500 (52.740) Prec@5 83.750 (82.250) Epoch: [61][6910/11272] Time 0.742 (0.799) Data 0.002 (0.002) Loss 1.8230 (1.7884) Prec@1 54.375 (52.738) Prec@5 84.375 (82.249) Epoch: [61][6920/11272] Time 0.729 (0.799) Data 0.002 (0.002) Loss 1.7839 (1.7884) Prec@1 50.625 (52.738) Prec@5 81.875 (82.249) Epoch: [61][6930/11272] Time 0.866 (0.799) Data 0.002 (0.002) Loss 1.7308 (1.7885) Prec@1 55.000 (52.736) Prec@5 81.250 (82.248) Epoch: [61][6940/11272] Time 0.832 (0.799) Data 0.001 (0.002) Loss 1.7815 (1.7884) Prec@1 56.250 (52.738) Prec@5 81.250 (82.249) Epoch: [61][6950/11272] Time 0.736 (0.799) Data 0.002 (0.002) Loss 1.8261 (1.7884) Prec@1 53.125 (52.738) Prec@5 84.375 (82.249) Epoch: [61][6960/11272] Time 0.730 (0.799) Data 0.001 (0.002) Loss 1.5482 (1.7885) Prec@1 56.875 (52.739) Prec@5 84.375 (82.246) Epoch: [61][6970/11272] Time 0.881 (0.799) Data 0.001 (0.002) Loss 1.7796 (1.7884) Prec@1 53.125 (52.739) Prec@5 82.500 (82.246) Epoch: [61][6980/11272] Time 0.824 (0.799) Data 0.001 (0.002) Loss 1.7111 (1.7884) Prec@1 52.500 (52.738) Prec@5 85.625 (82.246) Epoch: [61][6990/11272] Time 0.727 (0.799) Data 0.001 (0.002) Loss 1.5711 (1.7884) Prec@1 58.750 (52.740) Prec@5 85.000 (82.246) Epoch: [61][7000/11272] Time 0.824 (0.799) Data 0.002 (0.002) Loss 1.7680 (1.7884) Prec@1 48.125 (52.740) Prec@5 82.500 (82.245) Epoch: [61][7010/11272] Time 0.839 (0.799) Data 0.001 (0.002) Loss 1.6148 (1.7883) Prec@1 60.000 (52.739) Prec@5 84.375 (82.248) Epoch: [61][7020/11272] Time 0.736 (0.799) Data 0.001 (0.002) Loss 1.7083 (1.7883) Prec@1 55.625 (52.742) Prec@5 82.500 (82.249) Epoch: [61][7030/11272] Time 0.719 (0.799) Data 0.002 (0.002) Loss 1.6939 (1.7883) Prec@1 56.875 (52.742) Prec@5 80.625 (82.248) Epoch: [61][7040/11272] Time 0.837 (0.799) Data 0.001 (0.002) Loss 1.5511 (1.7884) Prec@1 60.000 (52.742) Prec@5 83.125 (82.247) Epoch: [61][7050/11272] Time 0.805 (0.799) Data 0.001 (0.002) Loss 1.6950 (1.7885) Prec@1 55.000 (52.740) Prec@5 84.375 (82.245) Epoch: [61][7060/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.7108 (1.7885) Prec@1 53.750 (52.738) Prec@5 82.500 (82.243) Epoch: [61][7070/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.8721 (1.7887) Prec@1 49.375 (52.733) Prec@5 81.875 (82.241) Epoch: [61][7080/11272] Time 0.834 (0.798) Data 0.001 (0.002) Loss 1.6848 (1.7886) Prec@1 50.000 (52.734) Prec@5 81.875 (82.244) Epoch: [61][7090/11272] Time 0.858 (0.798) Data 0.002 (0.002) Loss 1.8530 (1.7886) Prec@1 50.000 (52.737) Prec@5 77.500 (82.244) Epoch: [61][7100/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 1.6149 (1.7885) Prec@1 55.000 (52.737) Prec@5 84.375 (82.244) Epoch: [61][7110/11272] Time 0.775 (0.798) Data 0.003 (0.002) Loss 1.6068 (1.7884) Prec@1 51.875 (52.739) Prec@5 87.500 (82.245) Epoch: [61][7120/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 1.7886 (1.7884) Prec@1 52.500 (52.741) Prec@5 83.125 (82.244) Epoch: [61][7130/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.6947 (1.7884) Prec@1 55.000 (52.740) Prec@5 83.750 (82.244) Epoch: [61][7140/11272] Time 0.742 (0.798) Data 0.001 (0.002) Loss 1.8143 (1.7882) Prec@1 58.125 (52.744) Prec@5 78.750 (82.247) Epoch: [61][7150/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 1.9834 (1.7883) Prec@1 49.375 (52.744) Prec@5 75.000 (82.246) Epoch: [61][7160/11272] Time 0.822 (0.798) Data 0.001 (0.002) Loss 1.9153 (1.7883) Prec@1 48.125 (52.742) Prec@5 83.750 (82.246) Epoch: [61][7170/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 1.7321 (1.7883) Prec@1 48.750 (52.741) Prec@5 80.625 (82.246) Epoch: [61][7180/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 1.6789 (1.7882) Prec@1 51.875 (52.742) Prec@5 88.125 (82.248) Epoch: [61][7190/11272] Time 0.866 (0.798) Data 0.002 (0.002) Loss 1.7174 (1.7882) Prec@1 55.000 (52.744) Prec@5 85.625 (82.249) Epoch: [61][7200/11272] Time 0.806 (0.798) Data 0.001 (0.002) Loss 1.6861 (1.7881) Prec@1 55.625 (52.747) Prec@5 82.500 (82.251) Epoch: [61][7210/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 1.6642 (1.7881) Prec@1 58.750 (52.749) Prec@5 84.375 (82.251) Epoch: [61][7220/11272] Time 0.738 (0.798) Data 0.002 (0.002) Loss 1.7381 (1.7881) Prec@1 54.375 (52.748) Prec@5 81.875 (82.250) Epoch: [61][7230/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 1.7851 (1.7882) Prec@1 56.250 (52.749) Prec@5 81.250 (82.249) Epoch: [61][7240/11272] Time 0.807 (0.798) Data 0.001 (0.002) Loss 1.9549 (1.7881) Prec@1 48.125 (52.750) Prec@5 78.125 (82.249) Epoch: [61][7250/11272] Time 0.735 (0.798) Data 0.002 (0.002) Loss 1.7708 (1.7882) Prec@1 50.625 (52.747) Prec@5 85.625 (82.247) Epoch: [61][7260/11272] Time 0.825 (0.798) Data 0.002 (0.002) Loss 1.8291 (1.7882) Prec@1 52.500 (52.748) Prec@5 81.250 (82.246) Epoch: [61][7270/11272] Time 0.830 (0.798) Data 0.001 (0.002) Loss 1.8416 (1.7883) Prec@1 53.750 (52.748) Prec@5 80.625 (82.246) Epoch: [61][7280/11272] Time 0.733 (0.798) Data 0.001 (0.002) Loss 1.6008 (1.7883) Prec@1 55.000 (52.746) Prec@5 84.375 (82.244) Epoch: [61][7290/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.7940 (1.7883) Prec@1 51.875 (52.749) Prec@5 80.000 (82.245) Epoch: [61][7300/11272] Time 0.881 (0.798) Data 0.001 (0.002) Loss 1.8570 (1.7882) Prec@1 51.875 (52.749) Prec@5 79.375 (82.245) Epoch: [61][7310/11272] Time 0.854 (0.798) Data 0.001 (0.002) Loss 1.7691 (1.7883) Prec@1 54.375 (52.748) Prec@5 81.875 (82.243) Epoch: [61][7320/11272] Time 0.749 (0.798) Data 0.001 (0.002) Loss 1.8012 (1.7883) Prec@1 56.875 (52.750) Prec@5 81.250 (82.243) Epoch: [61][7330/11272] Time 0.750 (0.798) Data 0.002 (0.002) Loss 1.6644 (1.7882) Prec@1 55.000 (52.751) Prec@5 81.875 (82.243) Epoch: [61][7340/11272] Time 0.836 (0.798) Data 0.001 (0.002) Loss 1.8102 (1.7882) Prec@1 51.875 (52.750) Prec@5 77.500 (82.243) Epoch: [61][7350/11272] Time 0.814 (0.798) Data 0.001 (0.002) Loss 1.7133 (1.7881) Prec@1 53.125 (52.752) Prec@5 85.000 (82.244) Epoch: [61][7360/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.7455 (1.7881) Prec@1 52.500 (52.753) Prec@5 85.000 (82.245) Epoch: [61][7370/11272] Time 0.741 (0.798) Data 0.001 (0.002) Loss 1.8765 (1.7880) Prec@1 50.000 (52.757) Prec@5 83.750 (82.247) Epoch: [61][7380/11272] Time 0.851 (0.798) Data 0.001 (0.002) Loss 1.8097 (1.7880) Prec@1 55.625 (52.758) Prec@5 81.250 (82.247) Epoch: [61][7390/11272] Time 0.756 (0.798) Data 0.003 (0.002) Loss 1.8702 (1.7879) Prec@1 47.500 (52.759) Prec@5 78.125 (82.248) Epoch: [61][7400/11272] Time 0.743 (0.798) Data 0.002 (0.002) Loss 1.5880 (1.7878) Prec@1 60.000 (52.761) Prec@5 83.750 (82.249) Epoch: [61][7410/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.7000 (1.7878) Prec@1 55.000 (52.761) Prec@5 84.375 (82.248) Epoch: [61][7420/11272] Time 0.835 (0.798) Data 0.001 (0.002) Loss 1.9149 (1.7879) Prec@1 43.750 (52.758) Prec@5 82.500 (82.248) Epoch: [61][7430/11272] Time 0.757 (0.798) Data 0.002 (0.002) Loss 1.8495 (1.7879) Prec@1 52.500 (52.760) Prec@5 83.750 (82.248) Epoch: [61][7440/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 1.9123 (1.7879) Prec@1 53.125 (52.760) Prec@5 77.500 (82.248) Epoch: [61][7450/11272] Time 0.841 (0.798) Data 0.002 (0.002) Loss 1.7972 (1.7878) Prec@1 50.625 (52.760) Prec@5 81.250 (82.249) Epoch: [61][7460/11272] Time 0.913 (0.798) Data 0.001 (0.002) Loss 1.8221 (1.7879) Prec@1 50.625 (52.759) Prec@5 81.875 (82.246) Epoch: [61][7470/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 1.7932 (1.7880) Prec@1 52.500 (52.760) Prec@5 80.625 (82.243) Epoch: [61][7480/11272] Time 0.759 (0.798) Data 0.001 (0.002) Loss 1.9732 (1.7880) Prec@1 48.125 (52.758) Prec@5 81.875 (82.241) Epoch: [61][7490/11272] Time 0.843 (0.798) Data 0.001 (0.002) Loss 1.3519 (1.7880) Prec@1 61.250 (52.760) Prec@5 89.375 (82.242) Epoch: [61][7500/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.5717 (1.7879) Prec@1 58.125 (52.763) Prec@5 86.250 (82.243) Epoch: [61][7510/11272] Time 0.713 (0.798) Data 0.001 (0.002) Loss 1.7441 (1.7879) Prec@1 54.375 (52.762) Prec@5 81.250 (82.244) Epoch: [61][7520/11272] Time 0.822 (0.798) Data 0.001 (0.002) Loss 1.6700 (1.7880) Prec@1 53.750 (52.761) Prec@5 85.625 (82.242) Epoch: [61][7530/11272] Time 0.811 (0.798) Data 0.001 (0.002) Loss 1.7660 (1.7879) Prec@1 50.625 (52.762) Prec@5 82.500 (82.245) Epoch: [61][7540/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.9297 (1.7879) Prec@1 55.000 (52.763) Prec@5 80.000 (82.245) Epoch: [61][7550/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.8221 (1.7879) Prec@1 51.250 (52.762) Prec@5 82.500 (82.244) Epoch: [61][7560/11272] Time 0.823 (0.798) Data 0.001 (0.002) Loss 1.7153 (1.7878) Prec@1 51.875 (52.765) Prec@5 84.375 (82.247) Epoch: [61][7570/11272] Time 0.868 (0.798) Data 0.001 (0.002) Loss 1.7844 (1.7877) Prec@1 53.750 (52.764) Prec@5 81.250 (82.248) Epoch: [61][7580/11272] Time 0.727 (0.798) Data 0.002 (0.002) Loss 2.1186 (1.7877) Prec@1 42.500 (52.767) Prec@5 73.125 (82.249) Epoch: [61][7590/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.4747 (1.7876) Prec@1 58.125 (52.767) Prec@5 86.875 (82.249) Epoch: [61][7600/11272] Time 0.839 (0.798) Data 0.002 (0.002) Loss 1.6068 (1.7876) Prec@1 55.625 (52.769) Prec@5 86.875 (82.251) Epoch: [61][7610/11272] Time 0.802 (0.798) Data 0.001 (0.002) Loss 1.6793 (1.7875) Prec@1 53.125 (52.770) Prec@5 83.125 (82.252) Epoch: [61][7620/11272] Time 0.757 (0.798) Data 0.001 (0.002) Loss 1.7107 (1.7875) Prec@1 54.375 (52.767) Prec@5 81.250 (82.251) Epoch: [61][7630/11272] Time 0.746 (0.798) Data 0.002 (0.002) Loss 1.7053 (1.7875) Prec@1 55.000 (52.769) Prec@5 81.875 (82.252) Epoch: [61][7640/11272] Time 0.826 (0.798) Data 0.001 (0.002) Loss 1.7195 (1.7873) Prec@1 54.375 (52.771) Prec@5 80.625 (82.254) Epoch: [61][7650/11272] Time 0.741 (0.798) Data 0.003 (0.002) Loss 1.7394 (1.7874) Prec@1 54.375 (52.769) Prec@5 81.250 (82.253) Epoch: [61][7660/11272] Time 0.727 (0.798) Data 0.001 (0.002) Loss 1.8812 (1.7874) Prec@1 54.375 (52.768) Prec@5 77.500 (82.253) Epoch: [61][7670/11272] Time 0.851 (0.798) Data 0.001 (0.002) Loss 2.2239 (1.7874) Prec@1 45.000 (52.770) Prec@5 73.750 (82.252) Epoch: [61][7680/11272] Time 0.820 (0.798) Data 0.001 (0.002) Loss 1.8146 (1.7874) Prec@1 53.125 (52.768) Prec@5 83.750 (82.251) Epoch: [61][7690/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0320 (1.7875) Prec@1 51.875 (52.768) Prec@5 75.000 (82.252) Epoch: [61][7700/11272] Time 0.796 (0.797) Data 0.002 (0.002) Loss 1.8278 (1.7875) Prec@1 54.375 (52.768) Prec@5 82.500 (82.251) Epoch: [61][7710/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 1.8092 (1.7875) Prec@1 53.125 (52.770) Prec@5 81.250 (82.252) Epoch: [61][7720/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 1.7197 (1.7874) Prec@1 53.750 (52.770) Prec@5 81.250 (82.251) Epoch: [61][7730/11272] Time 0.752 (0.797) Data 0.001 (0.002) Loss 1.7306 (1.7875) Prec@1 55.000 (52.770) Prec@5 83.125 (82.248) Epoch: [61][7740/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 1.8385 (1.7876) Prec@1 52.500 (52.769) Prec@5 81.875 (82.247) Epoch: [61][7750/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 1.8262 (1.7875) Prec@1 46.875 (52.768) Prec@5 80.000 (82.248) Epoch: [61][7760/11272] Time 0.854 (0.797) Data 0.001 (0.002) Loss 1.8863 (1.7875) Prec@1 53.750 (52.767) Prec@5 79.375 (82.249) Epoch: [61][7770/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.7565 (1.7876) Prec@1 49.375 (52.767) Prec@5 85.625 (82.248) Epoch: [61][7780/11272] Time 0.809 (0.797) Data 0.002 (0.002) Loss 2.0856 (1.7876) Prec@1 38.125 (52.764) Prec@5 76.250 (82.247) Epoch: [61][7790/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 1.8880 (1.7876) Prec@1 51.250 (52.765) Prec@5 80.000 (82.249) Epoch: [61][7800/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.8441 (1.7875) Prec@1 55.625 (52.767) Prec@5 83.125 (82.251) Epoch: [61][7810/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.9882 (1.7875) Prec@1 49.375 (52.765) Prec@5 78.750 (82.253) Epoch: [61][7820/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.8894 (1.7875) Prec@1 51.875 (52.762) Prec@5 77.500 (82.253) Epoch: [61][7830/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 1.3314 (1.7875) Prec@1 65.625 (52.764) Prec@5 90.625 (82.253) Epoch: [61][7840/11272] Time 0.705 (0.797) Data 0.002 (0.002) Loss 1.6173 (1.7873) Prec@1 53.750 (52.763) Prec@5 85.625 (82.256) Epoch: [61][7850/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.7825 (1.7873) Prec@1 54.375 (52.763) Prec@5 80.000 (82.255) Epoch: [61][7860/11272] Time 0.829 (0.797) Data 0.001 (0.002) Loss 1.8792 (1.7873) Prec@1 50.625 (52.764) Prec@5 79.375 (82.254) Epoch: [61][7870/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.6618 (1.7873) Prec@1 50.625 (52.765) Prec@5 83.750 (82.255) Epoch: [61][7880/11272] Time 0.731 (0.797) Data 0.002 (0.002) Loss 1.6006 (1.7872) Prec@1 59.375 (52.765) Prec@5 85.000 (82.255) Epoch: [61][7890/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.9419 (1.7872) Prec@1 45.625 (52.764) Prec@5 83.125 (82.255) Epoch: [61][7900/11272] Time 0.858 (0.797) Data 0.002 (0.002) Loss 1.5329 (1.7872) Prec@1 58.750 (52.767) Prec@5 85.000 (82.256) Epoch: [61][7910/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 1.7361 (1.7872) Prec@1 55.000 (52.768) Prec@5 82.500 (82.255) Epoch: [61][7920/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 1.9708 (1.7873) Prec@1 51.250 (52.768) Prec@5 80.000 (82.253) Epoch: [61][7930/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.8962 (1.7873) Prec@1 51.250 (52.769) Prec@5 78.125 (82.253) Epoch: [61][7940/11272] Time 0.826 (0.797) Data 0.001 (0.002) Loss 1.8872 (1.7873) Prec@1 52.500 (52.767) Prec@5 80.625 (82.251) Epoch: [61][7950/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.7394 (1.7873) Prec@1 51.875 (52.769) Prec@5 81.875 (82.252) Epoch: [61][7960/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 1.7614 (1.7872) Prec@1 53.125 (52.768) Prec@5 83.750 (82.253) Epoch: [61][7970/11272] Time 0.877 (0.797) Data 0.001 (0.002) Loss 1.6515 (1.7872) Prec@1 55.000 (52.768) Prec@5 86.250 (82.254) Epoch: [61][7980/11272] Time 0.842 (0.797) Data 0.001 (0.002) Loss 1.8315 (1.7872) Prec@1 48.750 (52.767) Prec@5 81.875 (82.254) Epoch: [61][7990/11272] Time 0.745 (0.797) Data 0.002 (0.002) Loss 1.6674 (1.7871) Prec@1 57.500 (52.768) Prec@5 85.000 (82.255) Epoch: [61][8000/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.3418 (1.7870) Prec@1 61.875 (52.770) Prec@5 90.000 (82.257) Epoch: [61][8010/11272] Time 0.869 (0.797) Data 0.001 (0.002) Loss 1.7597 (1.7871) Prec@1 51.875 (52.767) Prec@5 84.375 (82.255) Epoch: [61][8020/11272] Time 0.833 (0.797) Data 0.001 (0.002) Loss 1.8090 (1.7871) Prec@1 47.500 (52.769) Prec@5 80.625 (82.256) Epoch: [61][8030/11272] Time 0.742 (0.797) Data 0.001 (0.002) Loss 2.0543 (1.7870) Prec@1 45.625 (52.768) Prec@5 76.250 (82.256) Epoch: [61][8040/11272] Time 0.724 (0.797) Data 0.001 (0.002) Loss 1.7667 (1.7870) Prec@1 51.875 (52.767) Prec@5 83.125 (82.257) Epoch: [61][8050/11272] Time 0.836 (0.797) Data 0.001 (0.002) Loss 1.7078 (1.7870) Prec@1 51.875 (52.767) Prec@5 83.750 (82.259) Epoch: [61][8060/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 1.7277 (1.7870) Prec@1 51.250 (52.768) Prec@5 84.375 (82.258) Epoch: [61][8070/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.6583 (1.7871) Prec@1 51.250 (52.765) Prec@5 85.000 (82.256) Epoch: [61][8080/11272] Time 0.826 (0.797) Data 0.002 (0.002) Loss 1.7786 (1.7871) Prec@1 54.375 (52.767) Prec@5 85.000 (82.256) Epoch: [61][8090/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.6304 (1.7871) Prec@1 55.625 (52.766) Prec@5 83.125 (82.256) Epoch: [61][8100/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.8278 (1.7872) Prec@1 48.750 (52.763) Prec@5 81.875 (82.254) Epoch: [61][8110/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.9204 (1.7872) Prec@1 52.500 (52.765) Prec@5 80.000 (82.254) Epoch: [61][8120/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.8442 (1.7873) Prec@1 48.750 (52.760) Prec@5 80.000 (82.253) Epoch: [61][8130/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.7573 (1.7873) Prec@1 48.125 (52.758) Prec@5 82.500 (82.253) Epoch: [61][8140/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.7547 (1.7873) Prec@1 52.500 (52.756) Prec@5 82.500 (82.252) Epoch: [61][8150/11272] Time 0.762 (0.797) Data 0.001 (0.002) Loss 1.7719 (1.7873) Prec@1 58.125 (52.757) Prec@5 83.125 (82.251) Epoch: [61][8160/11272] Time 0.814 (0.797) Data 0.001 (0.002) Loss 1.9351 (1.7874) Prec@1 47.500 (52.755) Prec@5 83.125 (82.251) Epoch: [61][8170/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 1.7612 (1.7874) Prec@1 55.625 (52.755) Prec@5 80.625 (82.251) Epoch: [61][8180/11272] Time 0.730 (0.797) Data 0.002 (0.002) Loss 1.9001 (1.7874) Prec@1 53.125 (52.755) Prec@5 80.625 (82.249) Epoch: [61][8190/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 1.9563 (1.7875) Prec@1 47.500 (52.754) Prec@5 79.375 (82.249) Epoch: [61][8200/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.9507 (1.7876) Prec@1 51.250 (52.752) Prec@5 76.250 (82.247) Epoch: [61][8210/11272] Time 0.728 (0.797) Data 0.001 (0.002) Loss 1.7017 (1.7877) Prec@1 56.875 (52.750) Prec@5 84.375 (82.246) Epoch: [61][8220/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 1.8361 (1.7877) Prec@1 47.500 (52.747) Prec@5 80.625 (82.245) Epoch: [61][8230/11272] Time 0.819 (0.797) Data 0.001 (0.002) Loss 1.7650 (1.7877) Prec@1 53.750 (52.746) Prec@5 86.875 (82.246) Epoch: [61][8240/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 2.0385 (1.7878) Prec@1 46.875 (52.743) Prec@5 76.250 (82.243) Epoch: [61][8250/11272] Time 0.725 (0.797) Data 0.001 (0.002) Loss 1.8831 (1.7878) Prec@1 47.500 (52.741) Prec@5 78.750 (82.243) Epoch: [61][8260/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.9502 (1.7878) Prec@1 47.500 (52.741) Prec@5 80.625 (82.243) Epoch: [61][8270/11272] Time 0.866 (0.797) Data 0.002 (0.002) Loss 1.7396 (1.7878) Prec@1 53.750 (52.741) Prec@5 81.250 (82.242) Epoch: [61][8280/11272] Time 0.839 (0.797) Data 0.001 (0.002) Loss 1.8515 (1.7879) Prec@1 48.750 (52.738) Prec@5 80.000 (82.240) Epoch: [61][8290/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.7563 (1.7879) Prec@1 56.250 (52.736) Prec@5 81.875 (82.241) Epoch: [61][8300/11272] Time 0.704 (0.797) Data 0.001 (0.002) Loss 1.6123 (1.7879) Prec@1 56.250 (52.738) Prec@5 86.875 (82.242) Epoch: [61][8310/11272] Time 0.863 (0.797) Data 0.001 (0.002) Loss 1.7595 (1.7879) Prec@1 51.875 (52.740) Prec@5 79.375 (82.241) Epoch: [61][8320/11272] Time 0.743 (0.797) Data 0.003 (0.002) Loss 1.9825 (1.7879) Prec@1 45.625 (52.738) Prec@5 83.750 (82.240) Epoch: [61][8330/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.7688 (1.7879) Prec@1 54.375 (52.737) Prec@5 83.750 (82.241) Epoch: [61][8340/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 1.8305 (1.7879) Prec@1 54.375 (52.736) Prec@5 79.375 (82.243) Epoch: [61][8350/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.7742 (1.7878) Prec@1 53.125 (52.736) Prec@5 81.875 (82.244) Epoch: [61][8360/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.6869 (1.7878) Prec@1 53.125 (52.736) Prec@5 83.750 (82.245) Epoch: [61][8370/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 1.8796 (1.7878) Prec@1 50.000 (52.736) Prec@5 79.375 (82.245) Epoch: [61][8380/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 1.9095 (1.7879) Prec@1 46.875 (52.733) Prec@5 83.125 (82.244) Epoch: [61][8390/11272] Time 0.822 (0.797) Data 0.001 (0.002) Loss 1.4520 (1.7878) Prec@1 55.625 (52.734) Prec@5 87.500 (82.246) Epoch: [61][8400/11272] Time 0.721 (0.797) Data 0.002 (0.002) Loss 1.7942 (1.7877) Prec@1 51.875 (52.734) Prec@5 81.250 (82.247) Epoch: [61][8410/11272] Time 0.706 (0.797) Data 0.001 (0.002) Loss 1.8053 (1.7878) Prec@1 50.625 (52.735) Prec@5 83.750 (82.246) Epoch: [61][8420/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 1.9401 (1.7878) Prec@1 46.250 (52.731) Prec@5 80.000 (82.244) Epoch: [61][8430/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 1.5004 (1.7878) Prec@1 63.750 (52.735) Prec@5 87.500 (82.245) Epoch: [61][8440/11272] Time 0.716 (0.797) Data 0.001 (0.002) Loss 1.8144 (1.7878) Prec@1 51.250 (52.736) Prec@5 86.250 (82.245) Epoch: [61][8450/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.7594 (1.7877) Prec@1 51.875 (52.738) Prec@5 80.625 (82.245) Epoch: [61][8460/11272] Time 0.790 (0.797) Data 0.001 (0.002) Loss 1.7177 (1.7877) Prec@1 53.750 (52.739) Prec@5 79.375 (82.244) Epoch: [61][8470/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 1.8169 (1.7877) Prec@1 52.500 (52.740) Prec@5 81.875 (82.244) Epoch: [61][8480/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.8679 (1.7877) Prec@1 52.500 (52.742) Prec@5 80.625 (82.244) Epoch: [61][8490/11272] Time 0.895 (0.797) Data 0.002 (0.002) Loss 1.7578 (1.7876) Prec@1 55.000 (52.742) Prec@5 83.750 (82.245) Epoch: [61][8500/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 1.4354 (1.7876) Prec@1 59.375 (52.741) Prec@5 88.125 (82.246) Epoch: [61][8510/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.8352 (1.7876) Prec@1 51.875 (52.741) Prec@5 80.000 (82.245) Epoch: [61][8520/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 1.9974 (1.7875) Prec@1 51.875 (52.744) Prec@5 78.125 (82.246) Epoch: [61][8530/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 1.8246 (1.7875) Prec@1 51.250 (52.743) Prec@5 82.500 (82.248) Epoch: [61][8540/11272] Time 0.843 (0.796) Data 0.002 (0.002) Loss 1.7231 (1.7876) Prec@1 50.000 (52.740) Prec@5 83.750 (82.246) Epoch: [61][8550/11272] Time 0.740 (0.796) Data 0.002 (0.002) Loss 1.7933 (1.7876) Prec@1 52.500 (52.740) Prec@5 78.750 (82.245) Epoch: [61][8560/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 1.9837 (1.7877) Prec@1 43.125 (52.737) Prec@5 80.000 (82.244) Epoch: [61][8570/11272] Time 0.827 (0.796) Data 0.001 (0.002) Loss 2.0091 (1.7878) Prec@1 45.000 (52.737) Prec@5 76.250 (82.244) Epoch: [61][8580/11272] Time 0.732 (0.796) Data 0.004 (0.002) Loss 1.7127 (1.7877) Prec@1 56.250 (52.739) Prec@5 85.625 (82.244) Epoch: [61][8590/11272] Time 0.724 (0.796) Data 0.001 (0.002) Loss 1.7498 (1.7878) Prec@1 52.500 (52.737) Prec@5 82.500 (82.244) Epoch: [61][8600/11272] Time 0.834 (0.796) Data 0.002 (0.002) Loss 1.7140 (1.7877) Prec@1 58.750 (52.742) Prec@5 81.875 (82.245) Epoch: [61][8610/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 1.5862 (1.7876) Prec@1 52.500 (52.743) Prec@5 85.000 (82.246) Epoch: [61][8620/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 1.9669 (1.7877) Prec@1 47.500 (52.742) Prec@5 78.125 (82.246) Epoch: [61][8630/11272] Time 0.727 (0.796) Data 0.001 (0.002) Loss 1.7822 (1.7876) Prec@1 52.500 (52.745) Prec@5 83.125 (82.246) Epoch: [61][8640/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 1.8910 (1.7876) Prec@1 54.375 (52.746) Prec@5 82.500 (82.247) Epoch: [61][8650/11272] Time 0.803 (0.796) Data 0.001 (0.002) Loss 1.8183 (1.7876) Prec@1 57.500 (52.746) Prec@5 81.875 (82.246) Epoch: [61][8660/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 1.7810 (1.7876) Prec@1 54.375 (52.746) Prec@5 84.375 (82.247) Epoch: [61][8670/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 2.0178 (1.7877) Prec@1 51.250 (52.744) Prec@5 76.875 (82.246) Epoch: [61][8680/11272] Time 0.860 (0.796) Data 0.002 (0.002) Loss 1.5734 (1.7876) Prec@1 57.500 (52.744) Prec@5 83.750 (82.248) Epoch: [61][8690/11272] Time 0.814 (0.796) Data 0.001 (0.002) Loss 1.8311 (1.7877) Prec@1 50.000 (52.743) Prec@5 80.625 (82.247) Epoch: [61][8700/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 2.0779 (1.7877) Prec@1 43.750 (52.742) Prec@5 76.875 (82.245) Epoch: [61][8710/11272] Time 0.903 (0.796) Data 0.002 (0.002) Loss 1.6777 (1.7877) Prec@1 51.250 (52.741) Prec@5 81.875 (82.244) Epoch: [61][8720/11272] Time 0.847 (0.796) Data 0.002 (0.002) Loss 1.8462 (1.7877) Prec@1 50.000 (52.741) Prec@5 80.000 (82.244) Epoch: [61][8730/11272] Time 0.735 (0.796) Data 0.001 (0.002) Loss 1.8522 (1.7878) Prec@1 50.000 (52.740) Prec@5 78.750 (82.244) Epoch: [61][8740/11272] Time 0.734 (0.796) Data 0.002 (0.002) Loss 1.8347 (1.7877) Prec@1 50.000 (52.740) Prec@5 81.875 (82.245) Epoch: [61][8750/11272] Time 0.849 (0.796) Data 0.002 (0.002) Loss 1.6399 (1.7877) Prec@1 58.125 (52.740) Prec@5 84.375 (82.245) Epoch: [61][8760/11272] Time 0.828 (0.796) Data 0.001 (0.002) Loss 1.6906 (1.7877) Prec@1 55.000 (52.740) Prec@5 83.750 (82.246) Epoch: [61][8770/11272] Time 0.744 (0.796) Data 0.002 (0.002) Loss 1.7940 (1.7878) Prec@1 55.625 (52.738) Prec@5 84.375 (82.245) Epoch: [61][8780/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.7697 (1.7878) Prec@1 54.375 (52.739) Prec@5 80.625 (82.244) Epoch: [61][8790/11272] Time 0.831 (0.796) Data 0.001 (0.002) Loss 1.5743 (1.7878) Prec@1 61.250 (52.739) Prec@5 86.875 (82.245) Epoch: [61][8800/11272] Time 0.828 (0.796) Data 0.002 (0.002) Loss 1.6306 (1.7876) Prec@1 60.000 (52.743) Prec@5 88.125 (82.249) Epoch: [61][8810/11272] Time 0.718 (0.796) Data 0.002 (0.002) Loss 1.6633 (1.7876) Prec@1 56.875 (52.744) Prec@5 86.250 (82.249) Epoch: [61][8820/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 1.9785 (1.7877) Prec@1 45.625 (52.743) Prec@5 80.000 (82.248) Epoch: [61][8830/11272] Time 0.814 (0.796) Data 0.002 (0.002) Loss 1.8021 (1.7876) Prec@1 56.875 (52.745) Prec@5 79.375 (82.248) Epoch: [61][8840/11272] Time 0.849 (0.796) Data 0.002 (0.002) Loss 1.7175 (1.7877) Prec@1 53.125 (52.743) Prec@5 84.375 (82.249) Epoch: [61][8850/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.6870 (1.7877) Prec@1 56.250 (52.741) Prec@5 84.375 (82.248) Epoch: [61][8860/11272] Time 0.902 (0.796) Data 0.001 (0.002) Loss 2.0339 (1.7878) Prec@1 51.250 (52.740) Prec@5 78.125 (82.247) Epoch: [61][8870/11272] Time 0.818 (0.796) Data 0.001 (0.002) Loss 1.7253 (1.7877) Prec@1 50.625 (52.739) Prec@5 83.750 (82.246) Epoch: [61][8880/11272] Time 0.744 (0.796) Data 0.001 (0.002) Loss 1.9565 (1.7877) Prec@1 46.250 (52.739) Prec@5 78.125 (82.248) Epoch: [61][8890/11272] Time 0.740 (0.796) Data 0.002 (0.002) Loss 1.6646 (1.7876) Prec@1 53.750 (52.740) Prec@5 84.375 (82.249) Epoch: [61][8900/11272] Time 0.825 (0.796) Data 0.001 (0.002) Loss 1.6695 (1.7876) Prec@1 56.250 (52.742) Prec@5 86.875 (82.249) Epoch: [61][8910/11272] Time 0.861 (0.796) Data 0.002 (0.002) Loss 1.7717 (1.7876) Prec@1 48.125 (52.741) Prec@5 82.500 (82.249) Epoch: [61][8920/11272] Time 0.766 (0.796) Data 0.002 (0.002) Loss 1.6838 (1.7876) Prec@1 53.125 (52.741) Prec@5 82.500 (82.249) Epoch: [61][8930/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.7992 (1.7876) Prec@1 53.750 (52.741) Prec@5 76.875 (82.247) Epoch: [61][8940/11272] Time 0.873 (0.796) Data 0.002 (0.002) Loss 1.6602 (1.7877) Prec@1 55.625 (52.738) Prec@5 86.250 (82.247) Epoch: [61][8950/11272] Time 0.810 (0.796) Data 0.001 (0.002) Loss 1.8661 (1.7877) Prec@1 48.750 (52.737) Prec@5 76.250 (82.245) Epoch: [61][8960/11272] Time 0.738 (0.796) Data 0.002 (0.002) Loss 1.8446 (1.7877) Prec@1 48.750 (52.736) Prec@5 81.875 (82.246) Epoch: [61][8970/11272] Time 0.723 (0.796) Data 0.002 (0.002) Loss 1.9213 (1.7877) Prec@1 54.375 (52.736) Prec@5 78.125 (82.245) Epoch: [61][8980/11272] Time 0.855 (0.796) Data 0.001 (0.002) Loss 1.9545 (1.7877) Prec@1 50.000 (52.737) Prec@5 77.500 (82.244) Epoch: [61][8990/11272] Time 0.748 (0.796) Data 0.001 (0.002) Loss 1.7383 (1.7877) Prec@1 52.500 (52.737) Prec@5 84.375 (82.245) Epoch: [61][9000/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.6941 (1.7877) Prec@1 51.250 (52.736) Prec@5 86.250 (82.246) Epoch: [61][9010/11272] Time 0.850 (0.796) Data 0.001 (0.002) Loss 1.9296 (1.7877) Prec@1 53.125 (52.738) Prec@5 80.000 (82.246) Epoch: [61][9020/11272] Time 0.833 (0.796) Data 0.001 (0.002) Loss 1.8348 (1.7877) Prec@1 51.875 (52.738) Prec@5 81.875 (82.246) Epoch: [61][9030/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.8764 (1.7877) Prec@1 50.000 (52.738) Prec@5 79.375 (82.247) Epoch: [61][9040/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 1.7650 (1.7876) Prec@1 54.375 (52.739) Prec@5 80.625 (82.249) Epoch: [61][9050/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 1.4951 (1.7876) Prec@1 58.125 (52.739) Prec@5 84.375 (82.247) Epoch: [61][9060/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 1.7911 (1.7877) Prec@1 51.875 (52.738) Prec@5 83.750 (82.245) Epoch: [61][9070/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 1.9063 (1.7876) Prec@1 50.000 (52.740) Prec@5 78.750 (82.244) Epoch: [61][9080/11272] Time 0.723 (0.796) Data 0.002 (0.002) Loss 1.7998 (1.7876) Prec@1 51.250 (52.740) Prec@5 79.375 (82.245) Epoch: [61][9090/11272] Time 0.840 (0.796) Data 0.001 (0.002) Loss 1.7885 (1.7876) Prec@1 49.375 (52.739) Prec@5 81.875 (82.244) Epoch: [61][9100/11272] Time 0.832 (0.796) Data 0.001 (0.002) Loss 1.7527 (1.7876) Prec@1 55.000 (52.742) Prec@5 81.250 (82.243) Epoch: [61][9110/11272] Time 0.725 (0.796) Data 0.002 (0.002) Loss 1.9913 (1.7875) Prec@1 46.875 (52.744) Prec@5 80.625 (82.245) Epoch: [61][9120/11272] Time 0.842 (0.796) Data 0.001 (0.002) Loss 1.8818 (1.7876) Prec@1 51.250 (52.743) Prec@5 80.000 (82.245) Epoch: [61][9130/11272] Time 0.843 (0.796) Data 0.002 (0.002) Loss 2.0161 (1.7876) Prec@1 45.000 (52.743) Prec@5 77.500 (82.244) Epoch: [61][9140/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.8515 (1.7876) Prec@1 50.625 (52.743) Prec@5 82.500 (82.244) Epoch: [61][9150/11272] Time 0.719 (0.796) Data 0.001 (0.002) Loss 1.8213 (1.7876) Prec@1 56.250 (52.745) Prec@5 80.625 (82.246) Epoch: [61][9160/11272] Time 0.847 (0.796) Data 0.001 (0.002) Loss 1.7518 (1.7876) Prec@1 57.500 (52.745) Prec@5 80.625 (82.244) Epoch: [61][9170/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 1.7434 (1.7876) Prec@1 56.250 (52.744) Prec@5 82.500 (82.243) Epoch: [61][9180/11272] Time 0.743 (0.796) Data 0.002 (0.002) Loss 1.5424 (1.7876) Prec@1 61.875 (52.746) Prec@5 84.375 (82.245) Epoch: [61][9190/11272] Time 0.718 (0.796) Data 0.001 (0.002) Loss 1.5682 (1.7874) Prec@1 55.625 (52.749) Prec@5 87.500 (82.247) Epoch: [61][9200/11272] Time 0.855 (0.796) Data 0.001 (0.002) Loss 1.8644 (1.7875) Prec@1 50.000 (52.748) Prec@5 81.250 (82.246) Epoch: [61][9210/11272] Time 0.821 (0.796) Data 0.001 (0.002) Loss 1.8558 (1.7875) Prec@1 47.500 (52.745) Prec@5 79.375 (82.245) Epoch: [61][9220/11272] Time 0.730 (0.796) Data 0.001 (0.002) Loss 1.7875 (1.7875) Prec@1 56.250 (52.747) Prec@5 83.125 (82.245) Epoch: [61][9230/11272] Time 0.781 (0.796) Data 0.001 (0.002) Loss 1.9733 (1.7875) Prec@1 51.250 (52.747) Prec@5 76.875 (82.245) Epoch: [61][9240/11272] Time 0.840 (0.796) Data 0.001 (0.002) Loss 1.7339 (1.7874) Prec@1 53.125 (52.746) Prec@5 83.750 (82.246) Epoch: [61][9250/11272] Time 0.747 (0.796) Data 0.003 (0.002) Loss 1.9044 (1.7875) Prec@1 48.125 (52.745) Prec@5 79.375 (82.245) Epoch: [61][9260/11272] Time 0.750 (0.796) Data 0.002 (0.002) Loss 1.9957 (1.7875) Prec@1 46.875 (52.743) Prec@5 75.000 (82.242) Epoch: [61][9270/11272] Time 0.824 (0.796) Data 0.001 (0.002) Loss 1.6510 (1.7875) Prec@1 56.875 (52.745) Prec@5 81.250 (82.241) Epoch: [61][9280/11272] Time 0.826 (0.796) Data 0.002 (0.002) Loss 1.5787 (1.7875) Prec@1 58.125 (52.747) Prec@5 88.125 (82.241) Epoch: [61][9290/11272] Time 0.718 (0.796) Data 0.002 (0.002) Loss 1.6471 (1.7875) Prec@1 53.750 (52.745) Prec@5 83.750 (82.241) Epoch: [61][9300/11272] Time 0.729 (0.796) Data 0.002 (0.002) Loss 1.6412 (1.7875) Prec@1 56.875 (52.745) Prec@5 81.250 (82.240) Epoch: [61][9310/11272] Time 0.805 (0.796) Data 0.002 (0.002) Loss 1.6743 (1.7875) Prec@1 50.000 (52.744) Prec@5 83.125 (82.240) Epoch: [61][9320/11272] Time 0.868 (0.796) Data 0.003 (0.002) Loss 1.4997 (1.7876) Prec@1 60.625 (52.742) Prec@5 87.500 (82.239) Epoch: [61][9330/11272] Time 0.733 (0.796) Data 0.002 (0.002) Loss 1.8973 (1.7876) Prec@1 53.125 (52.745) Prec@5 79.375 (82.240) Epoch: [61][9340/11272] Time 0.727 (0.796) Data 0.002 (0.002) Loss 1.7979 (1.7876) Prec@1 52.500 (52.745) Prec@5 82.500 (82.241) Epoch: [61][9350/11272] Time 0.834 (0.796) Data 0.001 (0.002) Loss 1.7254 (1.7876) Prec@1 53.125 (52.745) Prec@5 86.250 (82.241) Epoch: [61][9360/11272] Time 0.818 (0.796) Data 0.001 (0.002) Loss 2.0649 (1.7876) Prec@1 48.750 (52.744) Prec@5 76.250 (82.239) Epoch: [61][9370/11272] Time 0.739 (0.796) Data 0.001 (0.002) Loss 1.7441 (1.7877) Prec@1 53.125 (52.743) Prec@5 82.500 (82.238) Epoch: [61][9380/11272] Time 0.850 (0.796) Data 0.001 (0.002) Loss 2.0801 (1.7877) Prec@1 47.500 (52.742) Prec@5 78.125 (82.238) Epoch: [61][9390/11272] Time 0.848 (0.796) Data 0.001 (0.002) Loss 1.6971 (1.7878) Prec@1 56.875 (52.740) Prec@5 84.375 (82.236) Epoch: [61][9400/11272] Time 0.725 (0.796) Data 0.001 (0.002) Loss 1.8236 (1.7878) Prec@1 52.500 (52.740) Prec@5 81.250 (82.237) Epoch: [61][9410/11272] Time 0.741 (0.796) Data 0.001 (0.002) Loss 1.8958 (1.7878) Prec@1 47.500 (52.740) Prec@5 81.875 (82.236) Epoch: [61][9420/11272] Time 0.808 (0.796) Data 0.001 (0.002) Loss 1.6985 (1.7879) Prec@1 56.875 (52.739) Prec@5 81.875 (82.235) Epoch: [61][9430/11272] Time 0.826 (0.796) Data 0.001 (0.002) Loss 1.6799 (1.7879) Prec@1 56.250 (52.740) Prec@5 85.000 (82.234) Epoch: [61][9440/11272] Time 0.731 (0.796) Data 0.002 (0.002) Loss 2.0742 (1.7879) Prec@1 50.000 (52.741) Prec@5 76.875 (82.233) Epoch: [61][9450/11272] Time 0.735 (0.796) Data 0.001 (0.002) Loss 1.7801 (1.7880) Prec@1 50.625 (52.740) Prec@5 83.750 (82.233) Epoch: [61][9460/11272] Time 0.824 (0.796) Data 0.001 (0.002) Loss 1.6947 (1.7879) Prec@1 47.500 (52.740) Prec@5 84.375 (82.235) Epoch: [61][9470/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.7739 (1.7880) Prec@1 52.500 (52.738) Prec@5 82.500 (82.233) Epoch: [61][9480/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.5493 (1.7879) Prec@1 60.625 (52.739) Prec@5 81.875 (82.232) Epoch: [61][9490/11272] Time 0.782 (0.795) Data 0.002 (0.002) Loss 2.0674 (1.7881) Prec@1 43.750 (52.737) Prec@5 75.625 (82.230) Epoch: [61][9500/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 1.5560 (1.7880) Prec@1 59.375 (52.739) Prec@5 87.500 (82.231) Epoch: [61][9510/11272] Time 0.751 (0.795) Data 0.003 (0.002) Loss 2.0395 (1.7880) Prec@1 49.375 (52.740) Prec@5 78.125 (82.231) Epoch: [61][9520/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 1.6766 (1.7880) Prec@1 48.750 (52.740) Prec@5 85.625 (82.231) Epoch: [61][9530/11272] Time 0.844 (0.795) Data 0.001 (0.002) Loss 1.8486 (1.7881) Prec@1 49.375 (52.738) Prec@5 81.875 (82.230) Epoch: [61][9540/11272] Time 0.823 (0.795) Data 0.001 (0.002) Loss 2.0913 (1.7881) Prec@1 46.250 (52.739) Prec@5 78.125 (82.231) Epoch: [61][9550/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.8794 (1.7880) Prec@1 48.125 (52.738) Prec@5 86.250 (82.233) Epoch: [61][9560/11272] Time 0.765 (0.795) Data 0.002 (0.002) Loss 1.7625 (1.7880) Prec@1 52.500 (52.740) Prec@5 83.750 (82.233) Epoch: [61][9570/11272] Time 0.913 (0.795) Data 0.001 (0.002) Loss 1.7760 (1.7880) Prec@1 55.000 (52.741) Prec@5 80.625 (82.233) Epoch: [61][9580/11272] Time 0.840 (0.795) Data 0.001 (0.002) Loss 1.7633 (1.7879) Prec@1 48.750 (52.741) Prec@5 85.000 (82.235) Epoch: [61][9590/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.5276 (1.7880) Prec@1 60.625 (52.738) Prec@5 86.250 (82.234) Epoch: [61][9600/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 1.9444 (1.7880) Prec@1 48.750 (52.737) Prec@5 76.875 (82.233) Epoch: [61][9610/11272] Time 0.846 (0.795) Data 0.002 (0.002) Loss 1.8369 (1.7880) Prec@1 50.625 (52.736) Prec@5 81.250 (82.231) Epoch: [61][9620/11272] Time 0.815 (0.795) Data 0.001 (0.002) Loss 1.7385 (1.7880) Prec@1 56.875 (52.736) Prec@5 81.250 (82.232) Epoch: [61][9630/11272] Time 0.717 (0.795) Data 0.001 (0.002) Loss 1.6952 (1.7881) Prec@1 56.250 (52.737) Prec@5 86.250 (82.231) Epoch: [61][9640/11272] Time 0.812 (0.795) Data 0.001 (0.002) Loss 1.7452 (1.7881) Prec@1 47.500 (52.736) Prec@5 84.375 (82.232) Epoch: [61][9650/11272] Time 0.823 (0.795) Data 0.001 (0.002) Loss 1.7034 (1.7881) Prec@1 53.750 (52.736) Prec@5 84.375 (82.232) Epoch: [61][9660/11272] Time 0.733 (0.795) Data 0.001 (0.002) Loss 1.7517 (1.7881) Prec@1 56.875 (52.733) Prec@5 80.000 (82.230) Epoch: [61][9670/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.9438 (1.7881) Prec@1 51.875 (52.733) Prec@5 80.625 (82.229) Epoch: [61][9680/11272] Time 0.832 (0.795) Data 0.002 (0.002) Loss 1.8056 (1.7881) Prec@1 45.000 (52.733) Prec@5 79.375 (82.229) Epoch: [61][9690/11272] Time 0.821 (0.795) Data 0.001 (0.002) Loss 1.8313 (1.7881) Prec@1 44.375 (52.733) Prec@5 86.875 (82.231) Epoch: [61][9700/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.7307 (1.7880) Prec@1 53.125 (52.735) Prec@5 83.125 (82.232) Epoch: [61][9710/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 1.8417 (1.7880) Prec@1 54.375 (52.737) Prec@5 84.375 (82.233) Epoch: [61][9720/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 2.0958 (1.7881) Prec@1 45.000 (52.735) Prec@5 77.500 (82.234) Epoch: [61][9730/11272] Time 0.825 (0.795) Data 0.001 (0.002) Loss 2.1588 (1.7881) Prec@1 46.250 (52.736) Prec@5 78.750 (82.234) Epoch: [61][9740/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.6958 (1.7881) Prec@1 55.000 (52.736) Prec@5 84.375 (82.235) Epoch: [61][9750/11272] Time 0.723 (0.795) Data 0.002 (0.002) Loss 1.8021 (1.7881) Prec@1 53.750 (52.735) Prec@5 80.625 (82.233) Epoch: [61][9760/11272] Time 0.833 (0.795) Data 0.001 (0.002) Loss 1.8346 (1.7881) Prec@1 51.875 (52.735) Prec@5 78.125 (82.233) Epoch: [61][9770/11272] Time 0.811 (0.795) Data 0.001 (0.002) Loss 1.8673 (1.7881) Prec@1 52.500 (52.736) Prec@5 80.000 (82.232) Epoch: [61][9780/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.7184 (1.7881) Prec@1 56.250 (52.736) Prec@5 85.000 (82.233) Epoch: [61][9790/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.8357 (1.7881) Prec@1 48.750 (52.736) Prec@5 81.875 (82.232) Epoch: [61][9800/11272] Time 0.829 (0.795) Data 0.001 (0.002) Loss 1.7202 (1.7881) Prec@1 55.625 (52.735) Prec@5 83.125 (82.231) Epoch: [61][9810/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.7976 (1.7881) Prec@1 57.500 (52.735) Prec@5 84.375 (82.233) Epoch: [61][9820/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 1.6421 (1.7881) Prec@1 60.000 (52.733) Prec@5 85.000 (82.233) Epoch: [61][9830/11272] Time 0.840 (0.795) Data 0.002 (0.002) Loss 2.0502 (1.7881) Prec@1 52.500 (52.733) Prec@5 78.125 (82.232) Epoch: [61][9840/11272] Time 0.823 (0.795) Data 0.002 (0.002) Loss 1.6555 (1.7881) Prec@1 54.375 (52.732) Prec@5 85.625 (82.232) Epoch: [61][9850/11272] Time 0.739 (0.795) Data 0.001 (0.002) Loss 1.9006 (1.7881) Prec@1 51.875 (52.734) Prec@5 80.000 (82.232) Epoch: [61][9860/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 1.8928 (1.7881) Prec@1 53.750 (52.734) Prec@5 76.250 (82.232) Epoch: [61][9870/11272] Time 0.864 (0.795) Data 0.001 (0.002) Loss 1.7164 (1.7880) Prec@1 52.500 (52.737) Prec@5 85.625 (82.233) Epoch: [61][9880/11272] Time 0.859 (0.795) Data 0.001 (0.002) Loss 1.6544 (1.7880) Prec@1 50.625 (52.737) Prec@5 85.625 (82.234) Epoch: [61][9890/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.7994 (1.7879) Prec@1 55.000 (52.740) Prec@5 76.250 (82.235) Epoch: [61][9900/11272] Time 0.741 (0.795) Data 0.002 (0.002) Loss 1.4778 (1.7878) Prec@1 60.000 (52.741) Prec@5 89.375 (82.237) Epoch: [61][9910/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.5453 (1.7878) Prec@1 56.875 (52.742) Prec@5 86.250 (82.237) Epoch: [61][9920/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.8019 (1.7879) Prec@1 52.500 (52.742) Prec@5 80.625 (82.236) Epoch: [61][9930/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.7975 (1.7879) Prec@1 50.625 (52.741) Prec@5 82.500 (82.236) Epoch: [61][9940/11272] Time 0.826 (0.795) Data 0.001 (0.002) Loss 1.6537 (1.7879) Prec@1 56.875 (52.741) Prec@5 84.375 (82.235) Epoch: [61][9950/11272] Time 0.851 (0.795) Data 0.002 (0.002) Loss 1.7866 (1.7879) Prec@1 50.625 (52.741) Prec@5 81.875 (82.235) Epoch: [61][9960/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 2.0806 (1.7880) Prec@1 41.875 (52.740) Prec@5 81.875 (82.235) Epoch: [61][9970/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.6482 (1.7879) Prec@1 52.500 (52.742) Prec@5 86.875 (82.237) Epoch: [61][9980/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 1.7636 (1.7878) Prec@1 54.375 (52.745) Prec@5 83.125 (82.238) Epoch: [61][9990/11272] Time 0.798 (0.795) Data 0.001 (0.002) Loss 1.7253 (1.7878) Prec@1 55.000 (52.744) Prec@5 80.625 (82.238) Epoch: [61][10000/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.9923 (1.7878) Prec@1 48.750 (52.743) Prec@5 80.000 (82.238) Epoch: [61][10010/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.7259 (1.7878) Prec@1 53.750 (52.742) Prec@5 83.125 (82.238) Epoch: [61][10020/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 1.6690 (1.7878) Prec@1 56.875 (52.744) Prec@5 85.625 (82.237) Epoch: [61][10030/11272] Time 0.821 (0.795) Data 0.001 (0.002) Loss 1.5771 (1.7878) Prec@1 57.500 (52.743) Prec@5 85.625 (82.237) Epoch: [61][10040/11272] Time 0.734 (0.795) Data 0.002 (0.002) Loss 1.8239 (1.7878) Prec@1 51.875 (52.743) Prec@5 82.500 (82.236) Epoch: [61][10050/11272] Time 0.818 (0.795) Data 0.001 (0.002) Loss 1.8195 (1.7878) Prec@1 51.250 (52.742) Prec@5 83.125 (82.236) Epoch: [61][10060/11272] Time 0.807 (0.795) Data 0.002 (0.002) Loss 1.8344 (1.7878) Prec@1 54.375 (52.741) Prec@5 81.250 (82.235) Epoch: [61][10070/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.9050 (1.7878) Prec@1 51.250 (52.742) Prec@5 81.250 (82.236) Epoch: [61][10080/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.7029 (1.7878) Prec@1 51.250 (52.742) Prec@5 86.875 (82.237) Epoch: [61][10090/11272] Time 0.812 (0.795) Data 0.001 (0.002) Loss 1.8164 (1.7878) Prec@1 51.875 (52.743) Prec@5 81.875 (82.237) Epoch: [61][10100/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 1.7331 (1.7878) Prec@1 55.000 (52.742) Prec@5 84.375 (82.237) Epoch: [61][10110/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.9040 (1.7878) Prec@1 48.750 (52.743) Prec@5 81.875 (82.238) Epoch: [61][10120/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 1.8369 (1.7878) Prec@1 51.250 (52.741) Prec@5 83.125 (82.238) Epoch: [61][10130/11272] Time 0.865 (0.795) Data 0.001 (0.002) Loss 1.8067 (1.7878) Prec@1 52.500 (52.741) Prec@5 83.125 (82.238) Epoch: [61][10140/11272] Time 0.881 (0.795) Data 0.002 (0.002) Loss 1.5780 (1.7879) Prec@1 60.000 (52.739) Prec@5 86.250 (82.238) Epoch: [61][10150/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.8752 (1.7879) Prec@1 49.375 (52.739) Prec@5 78.750 (82.239) Epoch: [61][10160/11272] Time 0.747 (0.795) Data 0.001 (0.002) Loss 1.7836 (1.7879) Prec@1 52.500 (52.739) Prec@5 82.500 (82.239) Epoch: [61][10170/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 1.8219 (1.7878) Prec@1 58.125 (52.740) Prec@5 82.500 (82.239) Epoch: [61][10180/11272] Time 0.730 (0.795) Data 0.002 (0.002) Loss 1.5470 (1.7879) Prec@1 57.500 (52.740) Prec@5 84.375 (82.239) Epoch: [61][10190/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.8041 (1.7879) Prec@1 51.250 (52.738) Prec@5 78.750 (82.238) Epoch: [61][10200/11272] Time 0.835 (0.795) Data 0.002 (0.002) Loss 1.8121 (1.7880) Prec@1 55.625 (52.737) Prec@5 79.375 (82.236) Epoch: [61][10210/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 1.8617 (1.7880) Prec@1 55.000 (52.735) Prec@5 81.250 (82.236) Epoch: [61][10220/11272] Time 0.744 (0.795) Data 0.002 (0.002) Loss 1.7170 (1.7879) Prec@1 53.125 (52.736) Prec@5 85.000 (82.237) Epoch: [61][10230/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.9586 (1.7880) Prec@1 53.125 (52.735) Prec@5 79.375 (82.236) Epoch: [61][10240/11272] Time 0.810 (0.795) Data 0.001 (0.002) Loss 1.6892 (1.7880) Prec@1 55.000 (52.734) Prec@5 83.750 (82.236) Epoch: [61][10250/11272] Time 0.864 (0.795) Data 0.001 (0.002) Loss 1.5755 (1.7880) Prec@1 56.250 (52.734) Prec@5 86.250 (82.236) Epoch: [61][10260/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.8655 (1.7879) Prec@1 51.250 (52.736) Prec@5 81.250 (82.238) Epoch: [61][10270/11272] Time 0.735 (0.795) Data 0.002 (0.002) Loss 1.6608 (1.7879) Prec@1 59.375 (52.738) Prec@5 85.000 (82.238) Epoch: [61][10280/11272] Time 0.901 (0.795) Data 0.001 (0.002) Loss 2.0830 (1.7879) Prec@1 48.125 (52.736) Prec@5 77.500 (82.237) Epoch: [61][10290/11272] Time 0.835 (0.795) Data 0.001 (0.002) Loss 1.7680 (1.7880) Prec@1 51.250 (52.735) Prec@5 80.625 (82.235) Epoch: [61][10300/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 2.1812 (1.7880) Prec@1 46.875 (52.735) Prec@5 73.750 (82.234) Epoch: [61][10310/11272] Time 0.833 (0.795) Data 0.002 (0.002) Loss 1.8702 (1.7880) Prec@1 51.250 (52.734) Prec@5 82.500 (82.234) Epoch: [61][10320/11272] Time 0.848 (0.795) Data 0.001 (0.002) Loss 1.6154 (1.7881) Prec@1 56.875 (52.732) Prec@5 80.000 (82.234) Epoch: [61][10330/11272] Time 0.734 (0.795) Data 0.001 (0.002) Loss 1.6652 (1.7881) Prec@1 57.500 (52.731) Prec@5 84.375 (82.234) Epoch: [61][10340/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.8724 (1.7880) Prec@1 48.750 (52.732) Prec@5 81.875 (82.235) Epoch: [61][10350/11272] Time 0.836 (0.795) Data 0.001 (0.002) Loss 1.8531 (1.7880) Prec@1 46.875 (52.731) Prec@5 81.875 (82.236) Epoch: [61][10360/11272] Time 0.822 (0.795) Data 0.001 (0.002) Loss 1.9290 (1.7880) Prec@1 46.875 (52.730) Prec@5 80.000 (82.237) Epoch: [61][10370/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 1.7252 (1.7879) Prec@1 54.375 (52.730) Prec@5 81.250 (82.238) Epoch: [61][10380/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.5866 (1.7879) Prec@1 59.375 (52.731) Prec@5 86.875 (82.240) Epoch: [61][10390/11272] Time 0.878 (0.795) Data 0.001 (0.002) Loss 1.8359 (1.7878) Prec@1 50.625 (52.732) Prec@5 80.625 (82.241) Epoch: [61][10400/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 1.7488 (1.7879) Prec@1 54.375 (52.731) Prec@5 84.375 (82.240) Epoch: [61][10410/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.9016 (1.7879) Prec@1 48.125 (52.732) Prec@5 80.625 (82.240) Epoch: [61][10420/11272] Time 0.727 (0.795) Data 0.001 (0.002) Loss 1.8562 (1.7879) Prec@1 48.750 (52.732) Prec@5 80.000 (82.239) Epoch: [61][10430/11272] Time 0.812 (0.795) Data 0.001 (0.002) Loss 1.6037 (1.7878) Prec@1 58.750 (52.733) Prec@5 83.125 (82.239) Epoch: [61][10440/11272] Time 0.730 (0.795) Data 0.003 (0.002) Loss 1.8191 (1.7879) Prec@1 48.750 (52.732) Prec@5 83.125 (82.239) Epoch: [61][10450/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 1.4463 (1.7878) Prec@1 60.000 (52.733) Prec@5 90.625 (82.239) Epoch: [61][10460/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.5073 (1.7878) Prec@1 56.875 (52.733) Prec@5 87.500 (82.240) Epoch: [61][10470/11272] Time 0.829 (0.795) Data 0.002 (0.002) Loss 1.6973 (1.7878) Prec@1 50.625 (52.732) Prec@5 83.750 (82.240) Epoch: [61][10480/11272] Time 0.718 (0.795) Data 0.001 (0.002) Loss 1.6724 (1.7878) Prec@1 52.500 (52.730) Prec@5 85.625 (82.239) Epoch: [61][10490/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.8940 (1.7879) Prec@1 50.625 (52.729) Prec@5 80.000 (82.238) Epoch: [61][10500/11272] Time 0.863 (0.795) Data 0.002 (0.002) Loss 1.6736 (1.7879) Prec@1 57.500 (52.729) Prec@5 85.625 (82.238) Epoch: [61][10510/11272] Time 0.820 (0.795) Data 0.001 (0.002) Loss 1.5548 (1.7878) Prec@1 59.375 (52.731) Prec@5 85.000 (82.238) Epoch: [61][10520/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.6912 (1.7878) Prec@1 53.750 (52.731) Prec@5 87.500 (82.238) Epoch: [61][10530/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.6366 (1.7878) Prec@1 61.250 (52.732) Prec@5 83.125 (82.239) Epoch: [61][10540/11272] Time 0.830 (0.795) Data 0.001 (0.002) Loss 2.0093 (1.7878) Prec@1 44.375 (52.731) Prec@5 80.625 (82.239) Epoch: [61][10550/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.5401 (1.7878) Prec@1 58.750 (52.731) Prec@5 87.500 (82.239) Epoch: [61][10560/11272] Time 0.738 (0.795) Data 0.002 (0.002) Loss 1.8227 (1.7878) Prec@1 51.875 (52.731) Prec@5 80.625 (82.237) Epoch: [61][10570/11272] Time 0.821 (0.795) Data 0.001 (0.002) Loss 1.9192 (1.7879) Prec@1 52.500 (52.731) Prec@5 76.250 (82.236) Epoch: [61][10580/11272] Time 0.848 (0.795) Data 0.001 (0.002) Loss 1.8474 (1.7879) Prec@1 49.375 (52.731) Prec@5 81.250 (82.236) Epoch: [61][10590/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.8775 (1.7878) Prec@1 48.125 (52.732) Prec@5 81.875 (82.236) Epoch: [61][10600/11272] Time 0.754 (0.795) Data 0.001 (0.002) Loss 1.6048 (1.7878) Prec@1 56.250 (52.732) Prec@5 86.250 (82.236) Epoch: [61][10610/11272] Time 0.882 (0.795) Data 0.002 (0.002) Loss 1.7164 (1.7878) Prec@1 58.750 (52.735) Prec@5 81.875 (82.237) Epoch: [61][10620/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.6847 (1.7877) Prec@1 59.375 (52.736) Prec@5 83.750 (82.239) Epoch: [61][10630/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.6215 (1.7877) Prec@1 53.750 (52.736) Prec@5 86.250 (82.239) Epoch: [61][10640/11272] Time 0.722 (0.794) Data 0.001 (0.002) Loss 1.8275 (1.7877) Prec@1 55.625 (52.736) Prec@5 80.625 (82.238) Epoch: [61][10650/11272] Time 0.820 (0.794) Data 0.001 (0.002) Loss 1.7753 (1.7877) Prec@1 56.250 (52.737) Prec@5 83.750 (82.238) Epoch: [61][10660/11272] Time 0.848 (0.794) Data 0.001 (0.002) Loss 1.8362 (1.7877) Prec@1 52.500 (52.737) Prec@5 80.000 (82.238) Epoch: [61][10670/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 2.2189 (1.7877) Prec@1 43.750 (52.737) Prec@5 76.250 (82.237) Epoch: [61][10680/11272] Time 0.738 (0.794) Data 0.002 (0.002) Loss 1.7371 (1.7878) Prec@1 50.000 (52.736) Prec@5 81.875 (82.237) Epoch: [61][10690/11272] Time 0.837 (0.794) Data 0.001 (0.002) Loss 1.9174 (1.7877) Prec@1 48.125 (52.736) Prec@5 79.375 (82.238) Epoch: [61][10700/11272] Time 0.803 (0.794) Data 0.001 (0.002) Loss 1.5316 (1.7877) Prec@1 55.000 (52.734) Prec@5 86.875 (82.238) Epoch: [61][10710/11272] Time 0.708 (0.794) Data 0.001 (0.002) Loss 1.7396 (1.7877) Prec@1 53.125 (52.734) Prec@5 83.750 (82.238) Epoch: [61][10720/11272] Time 0.866 (0.794) Data 0.002 (0.002) Loss 2.1264 (1.7878) Prec@1 43.750 (52.732) Prec@5 78.750 (82.237) Epoch: [61][10730/11272] Time 0.814 (0.794) Data 0.001 (0.002) Loss 1.8104 (1.7878) Prec@1 51.875 (52.734) Prec@5 81.875 (82.236) Epoch: [61][10740/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.9495 (1.7879) Prec@1 48.125 (52.732) Prec@5 78.750 (82.235) Epoch: [61][10750/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.9244 (1.7878) Prec@1 49.375 (52.734) Prec@5 81.250 (82.235) Epoch: [61][10760/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 1.7878 (1.7878) Prec@1 51.250 (52.734) Prec@5 82.500 (82.234) Epoch: [61][10770/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.8618 (1.7879) Prec@1 51.250 (52.733) Prec@5 80.625 (82.234) Epoch: [61][10780/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.6523 (1.7878) Prec@1 57.500 (52.735) Prec@5 83.125 (82.234) Epoch: [61][10790/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.4688 (1.7878) Prec@1 58.750 (52.735) Prec@5 86.875 (82.234) Epoch: [61][10800/11272] Time 0.859 (0.794) Data 0.001 (0.002) Loss 2.0687 (1.7878) Prec@1 51.250 (52.736) Prec@5 74.375 (82.234) Epoch: [61][10810/11272] Time 0.795 (0.794) Data 0.001 (0.002) Loss 1.6496 (1.7878) Prec@1 54.375 (52.736) Prec@5 85.625 (82.234) Epoch: [61][10820/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 1.8046 (1.7878) Prec@1 50.000 (52.736) Prec@5 78.750 (82.234) Epoch: [61][10830/11272] Time 0.750 (0.794) Data 0.001 (0.002) Loss 1.6609 (1.7878) Prec@1 56.875 (52.735) Prec@5 85.625 (82.234) Epoch: [61][10840/11272] Time 0.833 (0.794) Data 0.001 (0.002) Loss 1.9012 (1.7878) Prec@1 53.125 (52.735) Prec@5 82.500 (82.234) Epoch: [61][10850/11272] Time 0.763 (0.794) Data 0.002 (0.002) Loss 1.9110 (1.7877) Prec@1 48.750 (52.736) Prec@5 81.250 (82.236) Epoch: [61][10860/11272] Time 0.727 (0.794) Data 0.002 (0.002) Loss 1.8622 (1.7877) Prec@1 52.500 (52.737) Prec@5 79.375 (82.236) Epoch: [61][10870/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.8449 (1.7877) Prec@1 53.750 (52.737) Prec@5 82.500 (82.236) Epoch: [61][10880/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.6060 (1.7877) Prec@1 58.750 (52.739) Prec@5 85.625 (82.236) Epoch: [61][10890/11272] Time 0.767 (0.794) Data 0.002 (0.002) Loss 1.8658 (1.7877) Prec@1 52.500 (52.739) Prec@5 81.875 (82.235) Epoch: [61][10900/11272] Time 0.733 (0.794) Data 0.001 (0.002) Loss 1.8207 (1.7877) Prec@1 51.875 (52.740) Prec@5 80.625 (82.235) Epoch: [61][10910/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.5895 (1.7877) Prec@1 62.500 (52.742) Prec@5 83.750 (82.235) Epoch: [61][10920/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.6675 (1.7877) Prec@1 54.375 (52.742) Prec@5 87.500 (82.236) Epoch: [61][10930/11272] Time 0.723 (0.794) Data 0.002 (0.002) Loss 1.9689 (1.7877) Prec@1 50.000 (52.740) Prec@5 78.125 (82.236) Epoch: [61][10940/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 1.9981 (1.7877) Prec@1 50.000 (52.740) Prec@5 79.375 (82.236) Epoch: [61][10950/11272] Time 0.842 (0.794) Data 0.001 (0.002) Loss 1.6989 (1.7878) Prec@1 56.875 (52.740) Prec@5 81.875 (82.236) Epoch: [61][10960/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.7135 (1.7877) Prec@1 56.875 (52.741) Prec@5 84.375 (82.236) Epoch: [61][10970/11272] Time 0.724 (0.794) Data 0.001 (0.002) Loss 1.5614 (1.7877) Prec@1 63.125 (52.743) Prec@5 85.000 (82.236) Epoch: [61][10980/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 2.1051 (1.7878) Prec@1 49.375 (52.742) Prec@5 75.625 (82.234) Epoch: [61][10990/11272] Time 0.822 (0.794) Data 0.001 (0.002) Loss 1.6929 (1.7877) Prec@1 57.500 (52.742) Prec@5 80.000 (82.233) Epoch: [61][11000/11272] Time 0.758 (0.794) Data 0.001 (0.002) Loss 1.8891 (1.7878) Prec@1 52.500 (52.742) Prec@5 80.000 (82.233) Epoch: [61][11010/11272] Time 0.730 (0.794) Data 0.001 (0.002) Loss 1.7125 (1.7878) Prec@1 52.500 (52.741) Prec@5 85.000 (82.232) Epoch: [61][11020/11272] Time 0.843 (0.794) Data 0.001 (0.002) Loss 1.7312 (1.7878) Prec@1 50.625 (52.743) Prec@5 85.000 (82.232) Epoch: [61][11030/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.7153 (1.7878) Prec@1 58.750 (52.742) Prec@5 78.750 (82.231) Epoch: [61][11040/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.7341 (1.7879) Prec@1 54.375 (52.740) Prec@5 84.375 (82.231) Epoch: [61][11050/11272] Time 0.751 (0.794) Data 0.001 (0.002) Loss 2.0415 (1.7880) Prec@1 48.750 (52.741) Prec@5 80.625 (82.229) Epoch: [61][11060/11272] Time 0.838 (0.794) Data 0.001 (0.002) Loss 1.9022 (1.7879) Prec@1 48.750 (52.742) Prec@5 81.250 (82.231) Epoch: [61][11070/11272] Time 0.797 (0.794) Data 0.001 (0.002) Loss 1.9639 (1.7879) Prec@1 46.875 (52.741) Prec@5 76.875 (82.230) Epoch: [61][11080/11272] Time 0.703 (0.794) Data 0.001 (0.002) Loss 1.6644 (1.7879) Prec@1 53.125 (52.741) Prec@5 81.250 (82.230) Epoch: [61][11090/11272] Time 0.709 (0.794) Data 0.001 (0.002) Loss 1.8377 (1.7879) Prec@1 48.750 (52.741) Prec@5 84.375 (82.230) Epoch: [61][11100/11272] Time 0.805 (0.794) Data 0.001 (0.002) Loss 1.9479 (1.7879) Prec@1 46.250 (52.741) Prec@5 79.375 (82.228) Epoch: [61][11110/11272] Time 0.724 (0.794) Data 0.003 (0.002) Loss 1.9063 (1.7879) Prec@1 42.500 (52.742) Prec@5 80.000 (82.228) Epoch: [61][11120/11272] Time 0.740 (0.794) Data 0.002 (0.002) Loss 1.7458 (1.7878) Prec@1 53.125 (52.741) Prec@5 84.375 (82.228) Epoch: [61][11130/11272] Time 0.840 (0.794) Data 0.002 (0.002) Loss 1.9533 (1.7878) Prec@1 51.250 (52.741) Prec@5 80.000 (82.228) Epoch: [61][11140/11272] Time 0.862 (0.794) Data 0.001 (0.002) Loss 1.8125 (1.7878) Prec@1 53.125 (52.743) Prec@5 83.125 (82.229) Epoch: [61][11150/11272] Time 0.742 (0.794) Data 0.002 (0.002) Loss 1.6574 (1.7878) Prec@1 55.000 (52.743) Prec@5 85.000 (82.231) Epoch: [61][11160/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.9767 (1.7878) Prec@1 53.750 (52.744) Prec@5 75.625 (82.231) Epoch: [61][11170/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.6520 (1.7878) Prec@1 58.750 (52.746) Prec@5 85.625 (82.232) Epoch: [61][11180/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.9336 (1.7878) Prec@1 46.250 (52.746) Prec@5 77.500 (82.231) Epoch: [61][11190/11272] Time 0.700 (0.794) Data 0.001 (0.002) Loss 1.6529 (1.7878) Prec@1 55.000 (52.746) Prec@5 86.250 (82.232) Epoch: [61][11200/11272] Time 0.726 (0.794) Data 0.002 (0.002) Loss 1.8364 (1.7878) Prec@1 51.875 (52.747) Prec@5 85.625 (82.233) Epoch: [61][11210/11272] Time 0.889 (0.794) Data 0.001 (0.002) Loss 2.1405 (1.7877) Prec@1 40.625 (52.747) Prec@5 76.875 (82.233) Epoch: [61][11220/11272] Time 0.887 (0.794) Data 0.001 (0.002) Loss 1.9766 (1.7878) Prec@1 45.000 (52.746) Prec@5 78.750 (82.231) Epoch: [61][11230/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.8673 (1.7878) Prec@1 50.000 (52.747) Prec@5 80.625 (82.231) Epoch: [61][11240/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 2.0060 (1.7878) Prec@1 50.000 (52.748) Prec@5 77.500 (82.231) Epoch: [61][11250/11272] Time 0.826 (0.794) Data 0.002 (0.002) Loss 1.6216 (1.7878) Prec@1 59.375 (52.747) Prec@5 83.125 (82.230) Epoch: [61][11260/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.7426 (1.7878) Prec@1 51.875 (52.746) Prec@5 81.875 (82.230) Epoch: [61][11270/11272] Time 0.722 (0.794) Data 0.000 (0.002) Loss 1.6788 (1.7878) Prec@1 55.625 (52.744) Prec@5 83.750 (82.230) Test: [0/229] Time 2.531 (2.531) Loss 1.0141 (1.0141) Prec@1 65.000 (65.000) Prec@5 95.625 (95.625) Test: [10/229] Time 0.394 (0.588) Loss 1.0537 (1.5571) Prec@1 66.875 (57.273) Prec@5 96.875 (87.784) Test: [20/229] Time 0.546 (0.508) Loss 1.8463 (1.6219) Prec@1 54.375 (54.732) Prec@5 84.375 (86.667) Test: [30/229] Time 0.331 (0.479) Loss 1.9780 (1.5645) Prec@1 46.250 (57.218) Prec@5 85.625 (87.258) Test: [40/229] Time 0.548 (0.466) Loss 0.4145 (1.5699) Prec@1 91.250 (57.027) Prec@5 95.625 (86.997) Test: [50/229] Time 0.318 (0.455) Loss 2.1624 (1.6213) Prec@1 40.625 (56.017) Prec@5 80.625 (85.711) Test: [60/229] Time 0.734 (0.455) Loss 2.0768 (1.6125) Prec@1 41.875 (56.035) Prec@5 85.000 (85.994) Test: [70/229] Time 0.320 (0.448) Loss 1.2623 (1.6200) Prec@1 70.000 (55.986) Prec@5 85.000 (85.951) Test: [80/229] Time 0.621 (0.446) Loss 1.9852 (1.6384) Prec@1 40.625 (55.162) Prec@5 85.625 (85.856) Test: [90/229] Time 0.381 (0.441) Loss 1.1910 (1.6460) Prec@1 73.750 (55.103) Prec@5 87.500 (85.817) Test: [100/229] Time 0.456 (0.438) Loss 2.0331 (1.6378) Prec@1 51.250 (55.421) Prec@5 85.000 (85.953) Test: [110/229] Time 0.427 (0.436) Loss 1.3061 (1.6195) Prec@1 63.125 (55.788) Prec@5 87.500 (86.149) Test: [120/229] Time 0.341 (0.436) Loss 2.6742 (1.6351) Prec@1 31.250 (55.274) Prec@5 76.875 (85.904) Test: [130/229] Time 0.405 (0.434) Loss 1.1476 (1.6191) Prec@1 61.875 (55.596) Prec@5 94.375 (86.112) Test: [140/229] Time 0.399 (0.433) Loss 1.7696 (1.6316) Prec@1 53.125 (55.284) Prec@5 86.875 (86.028) Test: [150/229] Time 0.321 (0.432) Loss 0.9954 (1.6458) Prec@1 76.250 (54.942) Prec@5 90.625 (85.828) Test: [160/229] Time 0.643 (0.432) Loss 1.6525 (1.6469) Prec@1 62.500 (54.821) Prec@5 85.625 (85.839) Test: [170/229] Time 0.293 (0.431) Loss 1.8018 (1.6568) Prec@1 46.875 (54.423) Prec@5 88.125 (85.779) Test: [180/229] Time 0.586 (0.432) Loss 2.2402 (1.6625) Prec@1 36.875 (54.403) Prec@5 74.375 (85.611) Test: [190/229] Time 0.355 (0.430) Loss 1.3613 (1.6523) Prec@1 59.375 (54.702) Prec@5 90.000 (85.720) Test: [200/229] Time 0.656 (0.431) Loss 1.6438 (1.6444) Prec@1 52.500 (54.789) Prec@5 83.750 (85.877) Test: [210/229] Time 0.333 (0.429) Loss 1.0879 (1.6358) Prec@1 65.625 (55.047) Prec@5 94.375 (85.998) Test: [220/229] Time 0.526 (0.429) Loss 1.4398 (1.6263) Prec@1 65.625 (55.430) Prec@5 90.000 (86.027) * Prec@1 55.746 Prec@5 86.075 Epoch: [62][0/11272] Time 3.807 (3.807) Data 2.964 (2.964) Loss 1.7279 (1.7279) Prec@1 52.500 (52.500) Prec@5 84.375 (84.375) Epoch: [62][10/11272] Time 0.725 (1.052) Data 0.002 (0.271) Loss 1.7740 (1.8368) Prec@1 51.250 (52.273) Prec@5 82.500 (80.739) Epoch: [62][20/11272] Time 0.823 (0.922) Data 0.001 (0.143) Loss 1.6531 (1.8342) Prec@1 50.625 (50.655) Prec@5 85.000 (81.607) Epoch: [62][30/11272] Time 0.816 (0.874) Data 0.001 (0.097) Loss 1.7071 (1.8097) Prec@1 56.250 (51.552) Prec@5 81.250 (81.895) Epoch: [62][40/11272] Time 0.772 (0.848) Data 0.002 (0.074) Loss 1.9842 (1.8139) Prec@1 47.500 (51.616) Prec@5 77.500 (81.753) Epoch: [62][50/11272] Time 0.796 (0.838) Data 0.002 (0.060) Loss 2.1745 (1.8086) Prec@1 40.625 (51.801) Prec@5 75.625 (81.838) Epoch: [62][60/11272] Time 0.799 (0.828) Data 0.001 (0.050) Loss 1.8319 (1.8073) Prec@1 55.625 (52.070) Prec@5 85.000 (81.967) Epoch: [62][70/11272] Time 0.744 (0.823) Data 0.002 (0.043) Loss 1.8272 (1.8051) Prec@1 48.125 (51.884) Prec@5 80.000 (81.901) Epoch: [62][80/11272] Time 0.737 (0.819) Data 0.002 (0.038) Loss 1.7852 (1.7975) Prec@1 49.375 (51.968) Prec@5 83.125 (82.037) Epoch: [62][90/11272] Time 0.824 (0.816) Data 0.002 (0.034) Loss 1.8547 (1.7979) Prec@1 46.875 (52.136) Prec@5 81.875 (82.060) Epoch: [62][100/11272] Time 0.821 (0.813) Data 0.001 (0.031) Loss 1.8718 (1.7987) Prec@1 50.625 (52.092) Prec@5 78.125 (82.042) Epoch: [62][110/11272] Time 0.745 (0.809) Data 0.001 (0.028) Loss 1.8990 (1.7905) Prec@1 46.250 (52.235) Prec@5 79.375 (82.145) Epoch: [62][120/11272] Time 0.722 (0.807) Data 0.001 (0.026) Loss 1.5599 (1.7869) Prec@1 54.375 (52.299) Prec@5 86.250 (82.164) Epoch: [62][130/11272] Time 0.829 (0.805) Data 0.002 (0.024) Loss 1.8967 (1.7882) Prec@1 48.750 (52.300) Prec@5 81.250 (82.147) Epoch: [62][140/11272] Time 0.788 (0.802) Data 0.001 (0.022) Loss 1.6044 (1.7802) Prec@1 58.750 (52.598) Prec@5 82.500 (82.270) Epoch: [62][150/11272] Time 0.732 (0.802) Data 0.002 (0.021) Loss 1.8031 (1.7813) Prec@1 53.750 (52.575) Prec@5 83.125 (82.252) Epoch: [62][160/11272] Time 0.736 (0.801) Data 0.001 (0.020) Loss 1.5233 (1.7785) Prec@1 51.250 (52.558) Prec@5 88.750 (82.380) Epoch: [62][170/11272] Time 0.825 (0.801) Data 0.001 (0.019) Loss 1.6689 (1.7746) Prec@1 53.125 (52.701) Prec@5 84.375 (82.431) Epoch: [62][180/11272] Time 0.838 (0.800) Data 0.001 (0.018) Loss 1.6976 (1.7709) Prec@1 56.250 (52.828) Prec@5 82.500 (82.469) Epoch: [62][190/11272] Time 0.724 (0.799) Data 0.001 (0.017) Loss 1.7349 (1.7689) Prec@1 53.750 (52.830) Prec@5 83.125 (82.546) Epoch: [62][200/11272] Time 0.853 (0.798) Data 0.001 (0.016) Loss 1.8848 (1.7652) Prec@1 51.875 (52.976) Prec@5 79.375 (82.581) Epoch: [62][210/11272] Time 0.838 (0.797) Data 0.001 (0.015) Loss 1.7904 (1.7640) Prec@1 55.625 (53.021) Prec@5 81.875 (82.601) Epoch: [62][220/11272] Time 0.723 (0.795) Data 0.001 (0.015) Loss 1.5461 (1.7625) Prec@1 54.375 (53.026) Prec@5 88.125 (82.664) Epoch: [62][230/11272] Time 0.740 (0.796) Data 0.001 (0.014) Loss 2.0044 (1.7650) Prec@1 43.125 (52.936) Prec@5 79.375 (82.635) Epoch: [62][240/11272] Time 0.834 (0.796) Data 0.001 (0.014) Loss 1.6345 (1.7641) Prec@1 57.500 (52.881) Prec@5 84.375 (82.617) Epoch: [62][250/11272] Time 0.801 (0.795) Data 0.001 (0.013) Loss 1.7911 (1.7663) Prec@1 54.375 (52.891) Prec@5 80.625 (82.550) Epoch: [62][260/11272] Time 0.724 (0.795) Data 0.001 (0.013) Loss 1.8775 (1.7675) Prec@1 46.250 (52.869) Prec@5 83.125 (82.574) Epoch: [62][270/11272] Time 0.731 (0.794) Data 0.002 (0.012) Loss 1.8543 (1.7678) Prec@1 51.250 (52.818) Prec@5 81.875 (82.601) Epoch: [62][280/11272] Time 0.837 (0.794) Data 0.002 (0.012) Loss 1.8633 (1.7664) Prec@1 46.250 (52.863) Prec@5 80.625 (82.640) Epoch: [62][290/11272] Time 0.803 (0.794) Data 0.001 (0.012) Loss 1.5356 (1.7676) Prec@1 62.500 (52.835) Prec@5 86.250 (82.635) Epoch: [62][300/11272] Time 0.714 (0.793) Data 0.001 (0.011) Loss 1.9293 (1.7672) Prec@1 49.375 (52.799) Prec@5 81.250 (82.647) Epoch: [62][310/11272] Time 0.768 (0.793) Data 0.002 (0.011) Loss 2.0712 (1.7681) Prec@1 50.625 (52.771) Prec@5 81.875 (82.647) Epoch: [62][320/11272] Time 0.837 (0.792) Data 0.001 (0.011) Loss 1.9441 (1.7677) Prec@1 47.500 (52.790) Prec@5 78.125 (82.650) Epoch: [62][330/11272] Time 0.726 (0.792) Data 0.001 (0.010) Loss 1.8702 (1.7668) Prec@1 49.375 (52.778) Prec@5 80.000 (82.640) Epoch: [62][340/11272] Time 0.720 (0.792) Data 0.002 (0.010) Loss 1.9005 (1.7679) Prec@1 48.125 (52.775) Prec@5 81.875 (82.623) Epoch: [62][350/11272] Time 0.836 (0.792) Data 0.001 (0.010) Loss 1.6746 (1.7670) Prec@1 56.250 (52.824) Prec@5 88.125 (82.641) Epoch: [62][360/11272] Time 0.807 (0.792) Data 0.001 (0.010) Loss 1.9881 (1.7696) Prec@1 52.500 (52.789) Prec@5 81.875 (82.600) Epoch: [62][370/11272] Time 0.738 (0.792) Data 0.001 (0.009) Loss 1.8056 (1.7703) Prec@1 50.000 (52.758) Prec@5 82.500 (82.562) Epoch: [62][380/11272] Time 0.740 (0.792) Data 0.001 (0.009) Loss 2.0214 (1.7697) Prec@1 45.000 (52.776) Prec@5 79.375 (82.556) Epoch: [62][390/11272] Time 0.825 (0.791) Data 0.001 (0.009) Loss 1.9834 (1.7710) Prec@1 50.625 (52.791) Prec@5 76.875 (82.522) Epoch: [62][400/11272] Time 0.819 (0.791) Data 0.001 (0.009) Loss 1.6750 (1.7712) Prec@1 57.500 (52.795) Prec@5 86.875 (82.522) Epoch: [62][410/11272] Time 0.743 (0.791) Data 0.002 (0.009) Loss 1.8509 (1.7713) Prec@1 56.250 (52.786) Prec@5 80.625 (82.523) Epoch: [62][420/11272] Time 0.741 (0.791) Data 0.001 (0.008) Loss 1.6778 (1.7719) Prec@1 54.375 (52.781) Prec@5 85.000 (82.501) Epoch: [62][430/11272] Time 0.867 (0.791) Data 0.002 (0.008) Loss 1.7815 (1.7718) Prec@1 54.375 (52.793) Prec@5 83.125 (82.493) Epoch: [62][440/11272] Time 0.823 (0.791) Data 0.001 (0.008) Loss 1.7127 (1.7722) Prec@1 56.875 (52.791) Prec@5 82.500 (82.496) Epoch: [62][450/11272] Time 0.720 (0.790) Data 0.001 (0.008) Loss 1.7425 (1.7740) Prec@1 51.875 (52.762) Prec@5 84.375 (82.486) Epoch: [62][460/11272] Time 0.837 (0.790) Data 0.001 (0.008) Loss 1.6308 (1.7745) Prec@1 55.625 (52.736) Prec@5 86.875 (82.473) Epoch: [62][470/11272] Time 0.914 (0.790) Data 0.003 (0.008) Loss 1.8297 (1.7759) Prec@1 50.625 (52.707) Prec@5 80.000 (82.424) Epoch: [62][480/11272] Time 0.721 (0.790) Data 0.001 (0.008) Loss 1.7568 (1.7747) Prec@1 50.625 (52.739) Prec@5 85.000 (82.460) Epoch: [62][490/11272] Time 0.744 (0.790) Data 0.001 (0.008) Loss 1.9319 (1.7758) Prec@1 53.750 (52.716) Prec@5 80.625 (82.448) Epoch: [62][500/11272] Time 0.837 (0.790) Data 0.001 (0.007) Loss 1.8870 (1.7769) Prec@1 52.500 (52.700) Prec@5 80.000 (82.440) Epoch: [62][510/11272] Time 0.857 (0.790) Data 0.001 (0.007) Loss 1.6036 (1.7778) Prec@1 49.375 (52.685) Prec@5 88.125 (82.412) Epoch: [62][520/11272] Time 0.724 (0.790) Data 0.001 (0.007) Loss 1.8994 (1.7775) Prec@1 50.000 (52.678) Prec@5 80.625 (82.422) Epoch: [62][530/11272] Time 0.731 (0.790) Data 0.002 (0.007) Loss 1.6634 (1.7773) Prec@1 51.875 (52.675) Prec@5 85.000 (82.427) Epoch: [62][540/11272] Time 0.829 (0.790) Data 0.001 (0.007) Loss 1.8372 (1.7773) Prec@1 53.750 (52.713) Prec@5 83.125 (82.458) Epoch: [62][550/11272] Time 0.857 (0.790) Data 0.001 (0.007) Loss 1.6424 (1.7764) Prec@1 55.000 (52.745) Prec@5 84.375 (82.485) Epoch: [62][560/11272] Time 0.729 (0.790) Data 0.002 (0.007) Loss 1.6245 (1.7772) Prec@1 51.250 (52.733) Prec@5 83.750 (82.464) Epoch: [62][570/11272] Time 0.723 (0.790) Data 0.001 (0.007) Loss 1.7706 (1.7776) Prec@1 51.875 (52.730) Prec@5 83.125 (82.449) Epoch: [62][580/11272] Time 0.872 (0.790) Data 0.001 (0.007) Loss 1.8820 (1.7780) Prec@1 47.500 (52.716) Prec@5 83.125 (82.438) Epoch: [62][590/11272] Time 0.752 (0.790) Data 0.003 (0.006) Loss 1.6805 (1.7780) Prec@1 53.125 (52.717) Prec@5 84.375 (82.432) Epoch: [62][600/11272] Time 0.736 (0.790) Data 0.002 (0.006) Loss 1.6145 (1.7782) Prec@1 57.500 (52.715) Prec@5 87.500 (82.436) Epoch: [62][610/11272] Time 0.830 (0.790) Data 0.002 (0.006) Loss 1.7209 (1.7774) Prec@1 55.000 (52.763) Prec@5 82.500 (82.435) Epoch: [62][620/11272] Time 0.829 (0.789) Data 0.001 (0.006) Loss 1.6878 (1.7769) Prec@1 56.875 (52.769) Prec@5 83.750 (82.444) Epoch: [62][630/11272] Time 0.724 (0.789) Data 0.001 (0.006) Loss 1.6117 (1.7767) Prec@1 54.375 (52.755) Prec@5 86.250 (82.449) Epoch: [62][640/11272] Time 0.764 (0.789) Data 0.002 (0.006) Loss 1.7347 (1.7769) Prec@1 58.125 (52.755) Prec@5 80.000 (82.443) Epoch: [62][650/11272] Time 0.907 (0.790) Data 0.002 (0.006) Loss 1.6571 (1.7760) Prec@1 48.125 (52.776) Prec@5 83.750 (82.447) Epoch: [62][660/11272] Time 0.869 (0.790) Data 0.001 (0.006) Loss 1.6569 (1.7749) Prec@1 56.875 (52.804) Prec@5 87.500 (82.457) Epoch: [62][670/11272] Time 0.716 (0.789) Data 0.001 (0.006) Loss 1.9149 (1.7753) Prec@1 51.250 (52.794) Prec@5 80.000 (82.452) Epoch: [62][680/11272] Time 0.724 (0.789) Data 0.002 (0.006) Loss 1.6226 (1.7753) Prec@1 58.750 (52.804) Prec@5 84.375 (82.439) Epoch: [62][690/11272] Time 0.886 (0.789) Data 0.002 (0.006) Loss 1.6327 (1.7747) Prec@1 55.625 (52.811) Prec@5 86.250 (82.443) Epoch: [62][700/11272] Time 0.839 (0.789) Data 0.002 (0.006) Loss 2.2292 (1.7753) Prec@1 47.500 (52.823) Prec@5 71.250 (82.418) Epoch: [62][710/11272] Time 0.765 (0.789) Data 0.002 (0.006) Loss 1.7104 (1.7759) Prec@1 50.000 (52.800) Prec@5 85.000 (82.408) Epoch: [62][720/11272] Time 0.890 (0.789) Data 0.002 (0.006) Loss 1.7758 (1.7752) Prec@1 50.000 (52.824) Prec@5 79.375 (82.418) Epoch: [62][730/11272] Time 0.814 (0.789) Data 0.001 (0.006) Loss 1.8670 (1.7760) Prec@1 50.625 (52.815) Prec@5 79.375 (82.409) Epoch: [62][740/11272] Time 0.750 (0.789) Data 0.001 (0.005) Loss 1.6215 (1.7750) Prec@1 54.375 (52.853) Prec@5 85.625 (82.419) Epoch: [62][750/11272] Time 0.732 (0.789) Data 0.001 (0.005) Loss 1.8752 (1.7752) Prec@1 52.500 (52.848) Prec@5 82.500 (82.418) Epoch: [62][760/11272] Time 0.849 (0.789) Data 0.001 (0.005) Loss 1.5978 (1.7741) Prec@1 58.125 (52.894) Prec@5 86.250 (82.426) Epoch: [62][770/11272] Time 0.826 (0.789) Data 0.001 (0.005) Loss 1.6935 (1.7742) Prec@1 55.625 (52.909) Prec@5 84.375 (82.416) Epoch: [62][780/11272] Time 0.729 (0.789) Data 0.001 (0.005) Loss 1.7406 (1.7736) Prec@1 54.375 (52.945) Prec@5 83.125 (82.430) Epoch: [62][790/11272] Time 0.749 (0.789) Data 0.002 (0.005) Loss 1.5062 (1.7739) Prec@1 61.875 (52.945) Prec@5 86.875 (82.412) Epoch: [62][800/11272] Time 0.824 (0.789) Data 0.001 (0.005) Loss 1.4945 (1.7740) Prec@1 59.375 (52.953) Prec@5 84.375 (82.404) Epoch: [62][810/11272] Time 0.833 (0.789) Data 0.001 (0.005) Loss 1.8403 (1.7735) Prec@1 48.125 (52.959) Prec@5 81.875 (82.419) Epoch: [62][820/11272] Time 0.743 (0.789) Data 0.001 (0.005) Loss 1.8319 (1.7731) Prec@1 55.000 (52.955) Prec@5 80.000 (82.428) Epoch: [62][830/11272] Time 0.724 (0.789) Data 0.001 (0.005) Loss 1.6471 (1.7730) Prec@1 56.250 (52.954) Prec@5 83.125 (82.429) Epoch: [62][840/11272] Time 0.828 (0.789) Data 0.001 (0.005) Loss 1.7632 (1.7729) Prec@1 48.750 (52.936) Prec@5 81.250 (82.429) Epoch: [62][850/11272] Time 0.726 (0.789) Data 0.003 (0.005) Loss 1.7454 (1.7733) Prec@1 50.625 (52.919) Prec@5 86.875 (82.429) Epoch: [62][860/11272] Time 0.737 (0.789) Data 0.002 (0.005) Loss 1.7957 (1.7742) Prec@1 54.375 (52.893) Prec@5 83.125 (82.415) Epoch: [62][870/11272] Time 0.875 (0.789) Data 0.001 (0.005) Loss 1.6035 (1.7735) Prec@1 58.125 (52.911) Prec@5 85.000 (82.428) Epoch: [62][880/11272] Time 0.840 (0.789) Data 0.002 (0.005) Loss 1.7536 (1.7731) Prec@1 53.125 (52.928) Prec@5 85.000 (82.446) Epoch: [62][890/11272] Time 0.736 (0.789) Data 0.001 (0.005) Loss 1.8076 (1.7736) Prec@1 51.250 (52.912) Prec@5 80.625 (82.433) Epoch: [62][900/11272] Time 0.729 (0.789) Data 0.001 (0.005) Loss 1.7499 (1.7729) Prec@1 50.000 (52.926) Prec@5 84.375 (82.441) Epoch: [62][910/11272] Time 0.881 (0.789) Data 0.001 (0.005) Loss 1.9236 (1.7733) Prec@1 52.500 (52.923) Prec@5 79.375 (82.433) Epoch: [62][920/11272] Time 0.878 (0.789) Data 0.002 (0.005) Loss 1.5666 (1.7737) Prec@1 58.125 (52.925) Prec@5 86.250 (82.419) Epoch: [62][930/11272] Time 0.724 (0.789) Data 0.002 (0.005) Loss 1.8190 (1.7735) Prec@1 56.875 (52.945) Prec@5 78.125 (82.425) Epoch: [62][940/11272] Time 0.699 (0.789) Data 0.001 (0.005) Loss 1.8308 (1.7735) Prec@1 44.375 (52.918) Prec@5 80.625 (82.427) Epoch: [62][950/11272] Time 0.823 (0.788) Data 0.001 (0.005) Loss 1.6395 (1.7729) Prec@1 50.000 (52.911) Prec@5 88.125 (82.442) Epoch: [62][960/11272] Time 0.819 (0.788) Data 0.001 (0.005) Loss 1.9312 (1.7731) Prec@1 46.875 (52.897) Prec@5 80.625 (82.432) Epoch: [62][970/11272] Time 0.722 (0.788) Data 0.001 (0.005) Loss 1.9182 (1.7722) Prec@1 51.250 (52.920) Prec@5 79.375 (82.450) Epoch: [62][980/11272] Time 0.809 (0.788) Data 0.001 (0.004) Loss 1.7412 (1.7727) Prec@1 53.125 (52.912) Prec@5 83.750 (82.438) Epoch: [62][990/11272] Time 0.830 (0.788) Data 0.001 (0.004) Loss 1.6297 (1.7726) Prec@1 59.375 (52.927) Prec@5 86.250 (82.435) Epoch: [62][1000/11272] Time 0.727 (0.788) Data 0.001 (0.004) Loss 1.9862 (1.7730) Prec@1 50.000 (52.922) Prec@5 77.500 (82.429) Epoch: [62][1010/11272] Time 0.728 (0.788) Data 0.002 (0.004) Loss 1.9420 (1.7734) Prec@1 46.250 (52.907) Prec@5 76.875 (82.423) Epoch: [62][1020/11272] Time 0.829 (0.788) Data 0.002 (0.004) Loss 2.0882 (1.7735) Prec@1 43.750 (52.911) Prec@5 75.000 (82.425) Epoch: [62][1030/11272] Time 0.819 (0.788) Data 0.001 (0.004) Loss 1.8118 (1.7734) Prec@1 56.250 (52.907) Prec@5 78.750 (82.425) Epoch: [62][1040/11272] Time 0.722 (0.788) Data 0.002 (0.004) Loss 1.7794 (1.7730) Prec@1 55.000 (52.930) Prec@5 80.625 (82.435) Epoch: [62][1050/11272] Time 0.720 (0.788) Data 0.001 (0.004) Loss 2.1761 (1.7734) Prec@1 45.625 (52.936) Prec@5 73.750 (82.432) Epoch: [62][1060/11272] Time 0.849 (0.788) Data 0.001 (0.004) Loss 1.7866 (1.7730) Prec@1 52.500 (52.954) Prec@5 81.250 (82.439) Epoch: [62][1070/11272] Time 0.841 (0.788) Data 0.001 (0.004) Loss 1.5391 (1.7731) Prec@1 62.500 (52.963) Prec@5 85.625 (82.429) Epoch: [62][1080/11272] Time 0.744 (0.788) Data 0.001 (0.004) Loss 1.7757 (1.7726) Prec@1 53.750 (52.981) Prec@5 81.250 (82.429) Epoch: [62][1090/11272] Time 0.723 (0.788) Data 0.001 (0.004) Loss 1.8124 (1.7728) Prec@1 49.375 (52.978) Prec@5 81.250 (82.424) Epoch: [62][1100/11272] Time 0.871 (0.788) Data 0.002 (0.004) Loss 1.5101 (1.7727) Prec@1 63.750 (52.988) Prec@5 86.875 (82.426) Epoch: [62][1110/11272] Time 0.820 (0.788) Data 0.001 (0.004) Loss 1.5065 (1.7715) Prec@1 59.375 (53.004) Prec@5 86.875 (82.441) Epoch: [62][1120/11272] Time 0.729 (0.788) Data 0.002 (0.004) Loss 1.7952 (1.7718) Prec@1 50.000 (52.996) Prec@5 80.625 (82.431) Epoch: [62][1130/11272] Time 0.861 (0.788) Data 0.001 (0.004) Loss 1.8405 (1.7717) Prec@1 48.750 (52.998) Prec@5 81.250 (82.434) Epoch: [62][1140/11272] Time 0.823 (0.788) Data 0.001 (0.004) Loss 1.8584 (1.7722) Prec@1 48.125 (52.985) Prec@5 81.250 (82.421) Epoch: [62][1150/11272] Time 0.725 (0.787) Data 0.001 (0.004) Loss 1.8232 (1.7726) Prec@1 48.750 (52.982) Prec@5 82.500 (82.422) Epoch: [62][1160/11272] Time 0.763 (0.787) Data 0.001 (0.004) Loss 2.0510 (1.7726) Prec@1 49.375 (52.980) Prec@5 75.625 (82.417) Epoch: [62][1170/11272] Time 0.815 (0.787) Data 0.001 (0.004) Loss 1.6682 (1.7727) Prec@1 57.500 (52.972) Prec@5 84.375 (82.415) Epoch: [62][1180/11272] Time 0.842 (0.787) Data 0.001 (0.004) Loss 1.9317 (1.7729) Prec@1 50.000 (52.972) Prec@5 79.375 (82.408) Epoch: [62][1190/11272] Time 0.725 (0.787) Data 0.002 (0.004) Loss 1.6129 (1.7725) Prec@1 57.500 (52.980) Prec@5 86.875 (82.419) Epoch: [62][1200/11272] Time 0.739 (0.787) Data 0.002 (0.004) Loss 1.6137 (1.7718) Prec@1 55.000 (52.990) Prec@5 86.875 (82.433) Epoch: [62][1210/11272] Time 0.855 (0.788) Data 0.001 (0.004) Loss 1.8597 (1.7723) Prec@1 46.875 (52.969) Prec@5 83.125 (82.422) Epoch: [62][1220/11272] Time 0.827 (0.788) Data 0.001 (0.004) Loss 1.7694 (1.7723) Prec@1 56.250 (52.967) Prec@5 83.750 (82.417) Epoch: [62][1230/11272] Time 0.716 (0.787) Data 0.001 (0.004) Loss 1.7921 (1.7722) Prec@1 53.750 (52.969) Prec@5 83.125 (82.419) Epoch: [62][1240/11272] Time 0.842 (0.787) Data 0.002 (0.004) Loss 1.9552 (1.7721) Prec@1 45.000 (52.975) Prec@5 79.375 (82.416) Epoch: [62][1250/11272] Time 0.855 (0.787) Data 0.001 (0.004) Loss 1.8178 (1.7721) Prec@1 53.125 (52.965) Prec@5 82.500 (82.419) Epoch: [62][1260/11272] Time 0.740 (0.787) Data 0.001 (0.004) Loss 1.5657 (1.7716) Prec@1 59.375 (52.974) Prec@5 83.750 (82.418) Epoch: [62][1270/11272] Time 0.742 (0.787) Data 0.001 (0.004) Loss 1.7730 (1.7720) Prec@1 50.625 (52.976) Prec@5 81.250 (82.409) Epoch: [62][1280/11272] Time 0.869 (0.787) Data 0.002 (0.004) Loss 1.6686 (1.7721) Prec@1 55.000 (52.972) Prec@5 85.625 (82.409) Epoch: [62][1290/11272] Time 0.827 (0.787) Data 0.001 (0.004) Loss 1.8668 (1.7719) Prec@1 52.500 (52.969) Prec@5 77.500 (82.409) Epoch: [62][1300/11272] Time 0.740 (0.787) Data 0.001 (0.004) Loss 1.6389 (1.7717) Prec@1 58.750 (52.982) Prec@5 86.250 (82.412) Epoch: [62][1310/11272] Time 0.765 (0.787) Data 0.002 (0.004) Loss 1.7654 (1.7714) Prec@1 50.625 (52.986) Prec@5 83.125 (82.412) Epoch: [62][1320/11272] Time 0.864 (0.787) Data 0.002 (0.004) Loss 1.7747 (1.7715) Prec@1 57.500 (52.992) Prec@5 83.750 (82.414) Epoch: [62][1330/11272] Time 0.841 (0.787) Data 0.001 (0.004) Loss 1.6323 (1.7709) Prec@1 58.750 (53.005) Prec@5 84.375 (82.421) Epoch: [62][1340/11272] Time 0.739 (0.787) Data 0.002 (0.004) Loss 1.8677 (1.7710) Prec@1 54.375 (53.011) Prec@5 81.250 (82.420) Epoch: [62][1350/11272] Time 0.725 (0.787) Data 0.001 (0.004) Loss 1.8910 (1.7706) Prec@1 51.250 (53.020) Prec@5 83.750 (82.428) Epoch: [62][1360/11272] Time 0.854 (0.787) Data 0.001 (0.004) Loss 1.6810 (1.7703) Prec@1 54.375 (53.027) Prec@5 89.375 (82.438) Epoch: [62][1370/11272] Time 0.842 (0.787) Data 0.001 (0.004) Loss 1.8550 (1.7701) Prec@1 55.625 (53.041) Prec@5 82.500 (82.442) Epoch: [62][1380/11272] Time 0.725 (0.787) Data 0.002 (0.004) Loss 1.8558 (1.7699) Prec@1 52.500 (53.051) Prec@5 79.375 (82.446) Epoch: [62][1390/11272] Time 0.904 (0.787) Data 0.002 (0.004) Loss 1.7527 (1.7696) Prec@1 51.875 (53.061) Prec@5 83.125 (82.454) Epoch: [62][1400/11272] Time 0.833 (0.787) Data 0.001 (0.004) Loss 1.7178 (1.7692) Prec@1 51.875 (53.073) Prec@5 80.625 (82.462) Epoch: [62][1410/11272] Time 0.714 (0.787) Data 0.001 (0.004) Loss 1.6359 (1.7689) Prec@1 56.875 (53.077) Prec@5 81.875 (82.460) Epoch: [62][1420/11272] Time 0.723 (0.787) Data 0.001 (0.004) Loss 1.7121 (1.7687) Prec@1 48.125 (53.081) Prec@5 80.625 (82.463) Epoch: [62][1430/11272] Time 0.884 (0.787) Data 0.002 (0.004) Loss 1.7938 (1.7686) Prec@1 53.125 (53.076) Prec@5 81.250 (82.467) Epoch: [62][1440/11272] Time 0.852 (0.787) Data 0.001 (0.004) Loss 1.7815 (1.7682) Prec@1 55.625 (53.091) Prec@5 83.125 (82.477) Epoch: [62][1450/11272] Time 0.745 (0.787) Data 0.002 (0.004) Loss 1.9470 (1.7688) Prec@1 50.625 (53.068) Prec@5 81.250 (82.466) Epoch: [62][1460/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 1.9081 (1.7687) Prec@1 48.750 (53.069) Prec@5 79.375 (82.464) Epoch: [62][1470/11272] Time 0.852 (0.787) Data 0.001 (0.003) Loss 1.6786 (1.7685) Prec@1 57.500 (53.078) Prec@5 81.875 (82.464) Epoch: [62][1480/11272] Time 0.819 (0.787) Data 0.001 (0.003) Loss 1.7505 (1.7687) Prec@1 55.000 (53.076) Prec@5 83.125 (82.463) Epoch: [62][1490/11272] Time 0.704 (0.787) Data 0.002 (0.003) Loss 1.6516 (1.7682) Prec@1 60.625 (53.095) Prec@5 83.750 (82.471) Epoch: [62][1500/11272] Time 0.739 (0.787) Data 0.001 (0.003) Loss 1.9541 (1.7684) Prec@1 51.875 (53.093) Prec@5 79.375 (82.465) Epoch: [62][1510/11272] Time 0.817 (0.787) Data 0.001 (0.003) Loss 1.5280 (1.7681) Prec@1 55.625 (53.108) Prec@5 88.125 (82.468) Epoch: [62][1520/11272] Time 0.716 (0.787) Data 0.003 (0.003) Loss 1.9863 (1.7685) Prec@1 50.625 (53.101) Prec@5 77.500 (82.454) Epoch: [62][1530/11272] Time 0.729 (0.787) Data 0.002 (0.003) Loss 1.6028 (1.7684) Prec@1 55.625 (53.103) Prec@5 84.375 (82.456) Epoch: [62][1540/11272] Time 0.869 (0.787) Data 0.001 (0.003) Loss 1.9455 (1.7681) Prec@1 46.250 (53.105) Prec@5 81.250 (82.460) Epoch: [62][1550/11272] Time 0.817 (0.787) Data 0.001 (0.003) Loss 1.8104 (1.7677) Prec@1 50.625 (53.120) Prec@5 83.750 (82.473) Epoch: [62][1560/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.7939 (1.7681) Prec@1 47.500 (53.111) Prec@5 81.875 (82.460) Epoch: [62][1570/11272] Time 0.744 (0.787) Data 0.001 (0.003) Loss 1.7647 (1.7682) Prec@1 58.750 (53.111) Prec@5 81.875 (82.459) Epoch: [62][1580/11272] Time 0.832 (0.787) Data 0.001 (0.003) Loss 1.6574 (1.7684) Prec@1 53.750 (53.116) Prec@5 86.250 (82.449) Epoch: [62][1590/11272] Time 0.810 (0.787) Data 0.001 (0.003) Loss 1.9236 (1.7683) Prec@1 48.125 (53.121) Prec@5 79.375 (82.447) Epoch: [62][1600/11272] Time 0.733 (0.787) Data 0.002 (0.003) Loss 1.8116 (1.7681) Prec@1 54.375 (53.125) Prec@5 81.250 (82.448) Epoch: [62][1610/11272] Time 0.736 (0.787) Data 0.002 (0.003) Loss 1.6393 (1.7681) Prec@1 49.375 (53.116) Prec@5 83.125 (82.447) Epoch: [62][1620/11272] Time 0.870 (0.787) Data 0.002 (0.003) Loss 1.8056 (1.7683) Prec@1 50.625 (53.111) Prec@5 82.500 (82.444) Epoch: [62][1630/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.5989 (1.7681) Prec@1 59.375 (53.113) Prec@5 84.375 (82.448) Epoch: [62][1640/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 1.9015 (1.7682) Prec@1 50.000 (53.106) Prec@5 80.000 (82.445) Epoch: [62][1650/11272] Time 0.855 (0.787) Data 0.001 (0.003) Loss 2.0407 (1.7685) Prec@1 45.625 (53.100) Prec@5 76.250 (82.440) Epoch: [62][1660/11272] Time 0.854 (0.787) Data 0.001 (0.003) Loss 1.6814 (1.7683) Prec@1 54.375 (53.105) Prec@5 83.125 (82.440) Epoch: [62][1670/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.6850 (1.7686) Prec@1 58.125 (53.104) Prec@5 85.625 (82.440) Epoch: [62][1680/11272] Time 0.727 (0.787) Data 0.002 (0.003) Loss 1.8883 (1.7686) Prec@1 51.875 (53.103) Prec@5 81.250 (82.441) Epoch: [62][1690/11272] Time 0.822 (0.787) Data 0.001 (0.003) Loss 1.6774 (1.7684) Prec@1 56.250 (53.108) Prec@5 85.625 (82.444) Epoch: [62][1700/11272] Time 0.851 (0.787) Data 0.001 (0.003) Loss 1.7933 (1.7684) Prec@1 50.625 (53.113) Prec@5 86.250 (82.445) Epoch: [62][1710/11272] Time 0.750 (0.787) Data 0.002 (0.003) Loss 1.5963 (1.7683) Prec@1 58.125 (53.121) Prec@5 83.750 (82.438) Epoch: [62][1720/11272] Time 0.711 (0.787) Data 0.001 (0.003) Loss 1.7736 (1.7682) Prec@1 48.750 (53.124) Prec@5 84.375 (82.433) Epoch: [62][1730/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 1.8187 (1.7678) Prec@1 58.750 (53.136) Prec@5 79.375 (82.434) Epoch: [62][1740/11272] Time 0.850 (0.787) Data 0.001 (0.003) Loss 1.5988 (1.7676) Prec@1 60.625 (53.139) Prec@5 85.000 (82.441) Epoch: [62][1750/11272] Time 0.733 (0.787) Data 0.001 (0.003) Loss 1.7922 (1.7673) Prec@1 55.625 (53.146) Prec@5 83.750 (82.445) Epoch: [62][1760/11272] Time 0.741 (0.787) Data 0.001 (0.003) Loss 1.6944 (1.7670) Prec@1 54.375 (53.153) Prec@5 83.125 (82.457) Epoch: [62][1770/11272] Time 0.821 (0.787) Data 0.002 (0.003) Loss 1.9173 (1.7667) Prec@1 50.000 (53.163) Prec@5 81.250 (82.464) Epoch: [62][1780/11272] Time 0.722 (0.787) Data 0.003 (0.003) Loss 1.6991 (1.7666) Prec@1 51.875 (53.162) Prec@5 85.000 (82.472) Epoch: [62][1790/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.8026 (1.7667) Prec@1 55.000 (53.167) Prec@5 80.000 (82.467) Epoch: [62][1800/11272] Time 0.813 (0.787) Data 0.001 (0.003) Loss 1.8126 (1.7668) Prec@1 55.625 (53.165) Prec@5 82.500 (82.467) Epoch: [62][1810/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 1.7941 (1.7669) Prec@1 47.500 (53.164) Prec@5 82.500 (82.466) Epoch: [62][1820/11272] Time 0.736 (0.787) Data 0.002 (0.003) Loss 1.7303 (1.7666) Prec@1 56.875 (53.162) Prec@5 81.250 (82.471) Epoch: [62][1830/11272] Time 0.704 (0.787) Data 0.001 (0.003) Loss 1.5656 (1.7665) Prec@1 56.250 (53.168) Prec@5 88.750 (82.475) Epoch: [62][1840/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 1.5621 (1.7661) Prec@1 54.375 (53.177) Prec@5 86.875 (82.485) Epoch: [62][1850/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 1.7024 (1.7667) Prec@1 56.875 (53.169) Prec@5 85.625 (82.479) Epoch: [62][1860/11272] Time 0.723 (0.787) Data 0.001 (0.003) Loss 1.6346 (1.7668) Prec@1 58.750 (53.163) Prec@5 80.625 (82.480) Epoch: [62][1870/11272] Time 0.740 (0.787) Data 0.002 (0.003) Loss 1.6606 (1.7667) Prec@1 52.500 (53.160) Prec@5 83.750 (82.479) Epoch: [62][1880/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.6797 (1.7666) Prec@1 56.250 (53.154) Prec@5 83.125 (82.479) Epoch: [62][1890/11272] Time 0.825 (0.787) Data 0.001 (0.003) Loss 1.8107 (1.7662) Prec@1 48.750 (53.161) Prec@5 82.500 (82.482) Epoch: [62][1900/11272] Time 0.720 (0.787) Data 0.002 (0.003) Loss 2.0209 (1.7663) Prec@1 45.625 (53.161) Prec@5 80.000 (82.479) Epoch: [62][1910/11272] Time 0.838 (0.787) Data 0.001 (0.003) Loss 1.6829 (1.7664) Prec@1 56.875 (53.161) Prec@5 84.375 (82.474) Epoch: [62][1920/11272] Time 0.848 (0.787) Data 0.001 (0.003) Loss 1.8657 (1.7663) Prec@1 51.250 (53.160) Prec@5 83.750 (82.477) Epoch: [62][1930/11272] Time 0.715 (0.787) Data 0.001 (0.003) Loss 1.8991 (1.7662) Prec@1 50.000 (53.161) Prec@5 77.500 (82.478) Epoch: [62][1940/11272] Time 0.718 (0.787) Data 0.002 (0.003) Loss 1.6081 (1.7661) Prec@1 57.500 (53.168) Prec@5 83.750 (82.480) Epoch: [62][1950/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 1.7318 (1.7662) Prec@1 53.750 (53.163) Prec@5 83.750 (82.481) Epoch: [62][1960/11272] Time 0.892 (0.787) Data 0.002 (0.003) Loss 1.8306 (1.7658) Prec@1 52.500 (53.169) Prec@5 76.250 (82.479) Epoch: [62][1970/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.8918 (1.7661) Prec@1 50.625 (53.167) Prec@5 83.125 (82.475) Epoch: [62][1980/11272] Time 0.749 (0.787) Data 0.002 (0.003) Loss 1.8325 (1.7658) Prec@1 53.125 (53.183) Prec@5 81.250 (82.476) Epoch: [62][1990/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 1.8376 (1.7660) Prec@1 56.875 (53.177) Prec@5 82.500 (82.476) Epoch: [62][2000/11272] Time 0.815 (0.787) Data 0.001 (0.003) Loss 1.7426 (1.7661) Prec@1 53.750 (53.174) Prec@5 81.875 (82.477) Epoch: [62][2010/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.5750 (1.7660) Prec@1 55.625 (53.169) Prec@5 86.250 (82.479) Epoch: [62][2020/11272] Time 0.741 (0.787) Data 0.002 (0.003) Loss 1.8096 (1.7663) Prec@1 51.250 (53.164) Prec@5 82.500 (82.482) Epoch: [62][2030/11272] Time 0.857 (0.787) Data 0.002 (0.003) Loss 1.5863 (1.7661) Prec@1 58.750 (53.165) Prec@5 83.750 (82.482) Epoch: [62][2040/11272] Time 0.821 (0.787) Data 0.002 (0.003) Loss 1.5897 (1.7660) Prec@1 51.875 (53.168) Prec@5 86.250 (82.484) Epoch: [62][2050/11272] Time 0.734 (0.787) Data 0.002 (0.003) Loss 1.8953 (1.7658) Prec@1 54.375 (53.180) Prec@5 78.750 (82.484) Epoch: [62][2060/11272] Time 0.877 (0.787) Data 0.002 (0.003) Loss 1.7782 (1.7658) Prec@1 48.750 (53.182) Prec@5 84.375 (82.481) Epoch: [62][2070/11272] Time 0.840 (0.787) Data 0.001 (0.003) Loss 1.7817 (1.7657) Prec@1 53.750 (53.185) Prec@5 83.125 (82.477) Epoch: [62][2080/11272] Time 0.740 (0.787) Data 0.001 (0.003) Loss 1.7186 (1.7655) Prec@1 53.125 (53.188) Prec@5 84.375 (82.480) Epoch: [62][2090/11272] Time 0.705 (0.787) Data 0.001 (0.003) Loss 1.7182 (1.7654) Prec@1 52.500 (53.187) Prec@5 86.250 (82.483) Epoch: [62][2100/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.9358 (1.7655) Prec@1 50.000 (53.175) Prec@5 79.375 (82.489) Epoch: [62][2110/11272] Time 0.829 (0.787) Data 0.001 (0.003) Loss 1.8142 (1.7655) Prec@1 51.250 (53.165) Prec@5 81.250 (82.488) Epoch: [62][2120/11272] Time 0.739 (0.787) Data 0.001 (0.003) Loss 2.0175 (1.7659) Prec@1 47.500 (53.159) Prec@5 75.000 (82.474) Epoch: [62][2130/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.7933 (1.7661) Prec@1 49.375 (53.151) Prec@5 82.500 (82.470) Epoch: [62][2140/11272] Time 0.816 (0.787) Data 0.001 (0.003) Loss 1.7309 (1.7660) Prec@1 57.500 (53.162) Prec@5 82.500 (82.471) Epoch: [62][2150/11272] Time 0.893 (0.787) Data 0.002 (0.003) Loss 1.7322 (1.7657) Prec@1 53.750 (53.177) Prec@5 80.625 (82.469) Epoch: [62][2160/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 1.9140 (1.7655) Prec@1 48.750 (53.175) Prec@5 79.375 (82.474) Epoch: [62][2170/11272] Time 0.698 (0.787) Data 0.001 (0.003) Loss 1.8201 (1.7655) Prec@1 50.000 (53.175) Prec@5 83.750 (82.479) Epoch: [62][2180/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 1.7639 (1.7657) Prec@1 47.500 (53.163) Prec@5 83.750 (82.479) Epoch: [62][2190/11272] Time 0.732 (0.787) Data 0.001 (0.003) Loss 1.6867 (1.7655) Prec@1 57.500 (53.166) Prec@5 82.500 (82.479) Epoch: [62][2200/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 2.1398 (1.7658) Prec@1 45.000 (53.163) Prec@5 79.375 (82.472) Epoch: [62][2210/11272] Time 0.816 (0.787) Data 0.001 (0.003) Loss 1.4004 (1.7658) Prec@1 58.750 (53.163) Prec@5 92.500 (82.471) Epoch: [62][2220/11272] Time 0.823 (0.787) Data 0.005 (0.003) Loss 1.5929 (1.7656) Prec@1 55.000 (53.166) Prec@5 85.000 (82.471) Epoch: [62][2230/11272] Time 0.738 (0.787) Data 0.002 (0.003) Loss 1.8128 (1.7655) Prec@1 49.375 (53.168) Prec@5 83.750 (82.472) Epoch: [62][2240/11272] Time 0.739 (0.787) Data 0.002 (0.003) Loss 1.8606 (1.7656) Prec@1 50.000 (53.162) Prec@5 82.500 (82.470) Epoch: [62][2250/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 1.5886 (1.7659) Prec@1 55.625 (53.159) Prec@5 85.625 (82.469) Epoch: [62][2260/11272] Time 0.841 (0.787) Data 0.001 (0.003) Loss 1.8836 (1.7661) Prec@1 52.500 (53.152) Prec@5 79.375 (82.468) Epoch: [62][2270/11272] Time 0.725 (0.787) Data 0.002 (0.003) Loss 1.7050 (1.7664) Prec@1 56.250 (53.142) Prec@5 83.125 (82.465) Epoch: [62][2280/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.6886 (1.7660) Prec@1 56.875 (53.150) Prec@5 83.750 (82.473) Epoch: [62][2290/11272] Time 0.834 (0.787) Data 0.002 (0.003) Loss 1.6665 (1.7657) Prec@1 54.375 (53.158) Prec@5 81.875 (82.475) Epoch: [62][2300/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 1.7095 (1.7656) Prec@1 46.875 (53.159) Prec@5 85.625 (82.482) Epoch: [62][2310/11272] Time 0.725 (0.787) Data 0.002 (0.003) Loss 1.7473 (1.7657) Prec@1 52.500 (53.165) Prec@5 83.125 (82.476) Epoch: [62][2320/11272] Time 0.826 (0.787) Data 0.001 (0.003) Loss 1.7599 (1.7659) Prec@1 56.250 (53.161) Prec@5 78.750 (82.472) Epoch: [62][2330/11272] Time 0.855 (0.787) Data 0.001 (0.003) Loss 1.5790 (1.7656) Prec@1 55.625 (53.166) Prec@5 87.500 (82.477) Epoch: [62][2340/11272] Time 0.717 (0.787) Data 0.001 (0.003) Loss 1.8335 (1.7658) Prec@1 52.500 (53.161) Prec@5 82.500 (82.473) Epoch: [62][2350/11272] Time 0.728 (0.787) Data 0.002 (0.003) Loss 1.7642 (1.7660) Prec@1 55.000 (53.153) Prec@5 78.125 (82.466) Epoch: [62][2360/11272] Time 0.845 (0.787) Data 0.001 (0.003) Loss 1.8233 (1.7659) Prec@1 51.875 (53.156) Prec@5 81.250 (82.470) Epoch: [62][2370/11272] Time 0.843 (0.787) Data 0.001 (0.003) Loss 1.6959 (1.7660) Prec@1 55.000 (53.154) Prec@5 84.375 (82.474) Epoch: [62][2380/11272] Time 0.739 (0.787) Data 0.004 (0.003) Loss 1.6938 (1.7658) Prec@1 60.625 (53.156) Prec@5 84.375 (82.482) Epoch: [62][2390/11272] Time 0.727 (0.787) Data 0.002 (0.003) Loss 1.6098 (1.7659) Prec@1 54.375 (53.160) Prec@5 86.250 (82.482) Epoch: [62][2400/11272] Time 0.818 (0.787) Data 0.001 (0.003) Loss 1.5288 (1.7659) Prec@1 56.250 (53.159) Prec@5 86.250 (82.481) Epoch: [62][2410/11272] Time 0.829 (0.787) Data 0.001 (0.003) Loss 1.6603 (1.7659) Prec@1 55.000 (53.165) Prec@5 83.750 (82.481) Epoch: [62][2420/11272] Time 0.724 (0.787) Data 0.002 (0.003) Loss 1.6140 (1.7659) Prec@1 53.125 (53.162) Prec@5 85.625 (82.479) Epoch: [62][2430/11272] Time 0.729 (0.787) Data 0.001 (0.003) Loss 1.7027 (1.7658) Prec@1 56.250 (53.167) Prec@5 80.625 (82.476) Epoch: [62][2440/11272] Time 0.816 (0.787) Data 0.001 (0.003) Loss 1.8138 (1.7658) Prec@1 51.875 (53.167) Prec@5 77.500 (82.472) Epoch: [62][2450/11272] Time 0.751 (0.787) Data 0.003 (0.003) Loss 1.6289 (1.7660) Prec@1 58.125 (53.166) Prec@5 83.750 (82.471) Epoch: [62][2460/11272] Time 0.735 (0.787) Data 0.002 (0.003) Loss 1.8920 (1.7660) Prec@1 47.500 (53.171) Prec@5 79.375 (82.470) Epoch: [62][2470/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 1.5396 (1.7664) Prec@1 60.000 (53.166) Prec@5 84.375 (82.460) Epoch: [62][2480/11272] Time 0.807 (0.787) Data 0.002 (0.003) Loss 1.7348 (1.7663) Prec@1 54.375 (53.173) Prec@5 80.000 (82.459) Epoch: [62][2490/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 1.8411 (1.7667) Prec@1 50.625 (53.166) Prec@5 81.250 (82.452) Epoch: [62][2500/11272] Time 0.737 (0.787) Data 0.002 (0.003) Loss 1.8027 (1.7669) Prec@1 50.000 (53.160) Prec@5 81.875 (82.450) Epoch: [62][2510/11272] Time 0.848 (0.787) Data 0.001 (0.003) Loss 1.5179 (1.7665) Prec@1 60.625 (53.169) Prec@5 88.125 (82.461) Epoch: [62][2520/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 1.7530 (1.7664) Prec@1 55.000 (53.168) Prec@5 86.250 (82.461) Epoch: [62][2530/11272] Time 0.727 (0.787) Data 0.001 (0.003) Loss 1.7175 (1.7663) Prec@1 56.875 (53.172) Prec@5 83.125 (82.463) Epoch: [62][2540/11272] Time 0.726 (0.787) Data 0.001 (0.003) Loss 1.6881 (1.7662) Prec@1 53.750 (53.175) Prec@5 83.125 (82.461) Epoch: [62][2550/11272] Time 0.833 (0.787) Data 0.001 (0.003) Loss 1.8016 (1.7662) Prec@1 54.375 (53.180) Prec@5 85.625 (82.461) Epoch: [62][2560/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.9611 (1.7661) Prec@1 50.000 (53.183) Prec@5 80.625 (82.471) Epoch: [62][2570/11272] Time 0.716 (0.787) Data 0.001 (0.003) Loss 1.7042 (1.7662) Prec@1 47.500 (53.181) Prec@5 85.000 (82.470) Epoch: [62][2580/11272] Time 0.808 (0.786) Data 0.001 (0.003) Loss 1.7382 (1.7664) Prec@1 53.125 (53.173) Prec@5 84.375 (82.470) Epoch: [62][2590/11272] Time 0.842 (0.786) Data 0.001 (0.003) Loss 1.6292 (1.7664) Prec@1 56.875 (53.172) Prec@5 87.500 (82.472) Epoch: [62][2600/11272] Time 0.713 (0.786) Data 0.001 (0.003) Loss 1.7601 (1.7667) Prec@1 56.250 (53.169) Prec@5 84.375 (82.470) Epoch: [62][2610/11272] Time 0.728 (0.786) Data 0.002 (0.003) Loss 1.6961 (1.7668) Prec@1 56.250 (53.169) Prec@5 83.750 (82.468) Epoch: [62][2620/11272] Time 0.858 (0.786) Data 0.001 (0.003) Loss 1.8818 (1.7667) Prec@1 55.000 (53.169) Prec@5 81.250 (82.471) Epoch: [62][2630/11272] Time 0.822 (0.786) Data 0.002 (0.003) Loss 1.9894 (1.7669) Prec@1 45.000 (53.161) Prec@5 80.000 (82.466) Epoch: [62][2640/11272] Time 0.731 (0.786) Data 0.002 (0.003) Loss 1.9664 (1.7672) Prec@1 47.500 (53.159) Prec@5 81.875 (82.459) Epoch: [62][2650/11272] Time 0.719 (0.786) Data 0.002 (0.003) Loss 1.6841 (1.7674) Prec@1 53.125 (53.154) Prec@5 85.000 (82.457) Epoch: [62][2660/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.5737 (1.7671) Prec@1 60.625 (53.161) Prec@5 85.625 (82.461) Epoch: [62][2670/11272] Time 0.831 (0.786) Data 0.001 (0.003) Loss 1.7112 (1.7670) Prec@1 52.500 (53.166) Prec@5 82.500 (82.463) Epoch: [62][2680/11272] Time 0.715 (0.786) Data 0.001 (0.003) Loss 1.6555 (1.7668) Prec@1 54.375 (53.174) Prec@5 86.875 (82.465) Epoch: [62][2690/11272] Time 0.735 (0.786) Data 0.002 (0.003) Loss 1.7608 (1.7669) Prec@1 51.250 (53.175) Prec@5 80.000 (82.464) Epoch: [62][2700/11272] Time 0.843 (0.787) Data 0.001 (0.003) Loss 1.7538 (1.7668) Prec@1 48.750 (53.180) Prec@5 81.875 (82.463) Epoch: [62][2710/11272] Time 0.743 (0.787) Data 0.002 (0.003) Loss 1.5991 (1.7664) Prec@1 58.125 (53.185) Prec@5 84.375 (82.467) Epoch: [62][2720/11272] Time 0.721 (0.786) Data 0.002 (0.003) Loss 1.7931 (1.7664) Prec@1 51.875 (53.182) Prec@5 84.375 (82.473) Epoch: [62][2730/11272] Time 0.843 (0.787) Data 0.001 (0.003) Loss 1.6679 (1.7664) Prec@1 55.000 (53.182) Prec@5 84.375 (82.472) Epoch: [62][2740/11272] Time 0.833 (0.787) Data 0.002 (0.003) Loss 1.8338 (1.7665) Prec@1 55.625 (53.180) Prec@5 76.250 (82.468) Epoch: [62][2750/11272] Time 0.745 (0.786) Data 0.001 (0.003) Loss 2.0845 (1.7668) Prec@1 46.250 (53.177) Prec@5 76.875 (82.465) Epoch: [62][2760/11272] Time 0.722 (0.786) Data 0.001 (0.003) Loss 1.8089 (1.7667) Prec@1 58.125 (53.174) Prec@5 83.125 (82.466) Epoch: [62][2770/11272] Time 0.835 (0.786) Data 0.001 (0.003) Loss 1.9920 (1.7668) Prec@1 49.375 (53.169) Prec@5 81.250 (82.463) Epoch: [62][2780/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 1.9046 (1.7667) Prec@1 51.875 (53.170) Prec@5 82.500 (82.464) Epoch: [62][2790/11272] Time 0.761 (0.787) Data 0.002 (0.003) Loss 1.8676 (1.7669) Prec@1 46.250 (53.161) Prec@5 81.875 (82.461) Epoch: [62][2800/11272] Time 0.713 (0.786) Data 0.001 (0.003) Loss 1.7963 (1.7669) Prec@1 52.500 (53.162) Prec@5 79.375 (82.459) Epoch: [62][2810/11272] Time 0.816 (0.786) Data 0.001 (0.003) Loss 1.7624 (1.7668) Prec@1 51.875 (53.163) Prec@5 81.875 (82.461) Epoch: [62][2820/11272] Time 0.830 (0.786) Data 0.001 (0.003) Loss 1.7430 (1.7670) Prec@1 51.250 (53.162) Prec@5 82.500 (82.455) Epoch: [62][2830/11272] Time 0.728 (0.786) Data 0.001 (0.003) Loss 1.7299 (1.7672) Prec@1 57.500 (53.155) Prec@5 81.875 (82.452) Epoch: [62][2840/11272] Time 0.854 (0.786) Data 0.001 (0.003) Loss 1.9827 (1.7673) Prec@1 49.375 (53.157) Prec@5 78.750 (82.451) Epoch: [62][2850/11272] Time 0.843 (0.786) Data 0.001 (0.003) Loss 1.4941 (1.7670) Prec@1 58.125 (53.168) Prec@5 89.375 (82.455) Epoch: [62][2860/11272] Time 0.745 (0.787) Data 0.001 (0.003) Loss 1.8982 (1.7671) Prec@1 49.375 (53.165) Prec@5 80.000 (82.453) Epoch: [62][2870/11272] Time 0.732 (0.786) Data 0.001 (0.003) Loss 1.6234 (1.7670) Prec@1 58.750 (53.171) Prec@5 86.875 (82.456) Epoch: [62][2880/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 2.1515 (1.7672) Prec@1 43.125 (53.168) Prec@5 73.750 (82.452) Epoch: [62][2890/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 1.6380 (1.7673) Prec@1 54.375 (53.167) Prec@5 86.875 (82.453) Epoch: [62][2900/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.7113 (1.7675) Prec@1 50.000 (53.161) Prec@5 85.625 (82.452) Epoch: [62][2910/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.9631 (1.7676) Prec@1 45.000 (53.160) Prec@5 78.750 (82.449) Epoch: [62][2920/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9272 (1.7676) Prec@1 49.375 (53.158) Prec@5 78.125 (82.447) Epoch: [62][2930/11272] Time 0.812 (0.787) Data 0.001 (0.002) Loss 1.7632 (1.7676) Prec@1 53.125 (53.155) Prec@5 81.250 (82.448) Epoch: [62][2940/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.8363 (1.7675) Prec@1 48.750 (53.160) Prec@5 84.375 (82.447) Epoch: [62][2950/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.6476 (1.7677) Prec@1 53.750 (53.149) Prec@5 83.125 (82.444) Epoch: [62][2960/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 1.8747 (1.7678) Prec@1 53.125 (53.153) Prec@5 78.125 (82.444) Epoch: [62][2970/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.6160 (1.7677) Prec@1 56.875 (53.156) Prec@5 85.625 (82.448) Epoch: [62][2980/11272] Time 0.721 (0.786) Data 0.002 (0.002) Loss 1.6990 (1.7678) Prec@1 56.250 (53.151) Prec@5 81.875 (82.446) Epoch: [62][2990/11272] Time 0.850 (0.787) Data 0.001 (0.002) Loss 1.7144 (1.7678) Prec@1 51.250 (53.149) Prec@5 89.375 (82.450) Epoch: [62][3000/11272] Time 0.803 (0.787) Data 0.001 (0.002) Loss 2.1921 (1.7678) Prec@1 46.875 (53.147) Prec@5 74.375 (82.450) Epoch: [62][3010/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.8224 (1.7678) Prec@1 50.625 (53.144) Prec@5 85.000 (82.454) Epoch: [62][3020/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.8357 (1.7677) Prec@1 49.375 (53.142) Prec@5 82.500 (82.454) Epoch: [62][3030/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 1.8067 (1.7678) Prec@1 51.250 (53.141) Prec@5 83.125 (82.454) Epoch: [62][3040/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 1.7346 (1.7680) Prec@1 52.500 (53.137) Prec@5 81.875 (82.449) Epoch: [62][3050/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.6838 (1.7681) Prec@1 50.625 (53.136) Prec@5 83.125 (82.447) Epoch: [62][3060/11272] Time 0.763 (0.787) Data 0.001 (0.002) Loss 1.8235 (1.7681) Prec@1 47.500 (53.141) Prec@5 81.875 (82.446) Epoch: [62][3070/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.5171 (1.7680) Prec@1 60.000 (53.142) Prec@5 86.250 (82.447) Epoch: [62][3080/11272] Time 0.819 (0.787) Data 0.001 (0.002) Loss 1.8254 (1.7679) Prec@1 45.625 (53.146) Prec@5 81.250 (82.448) Epoch: [62][3090/11272] Time 0.721 (0.787) Data 0.002 (0.002) Loss 1.9243 (1.7679) Prec@1 47.500 (53.145) Prec@5 83.750 (82.447) Epoch: [62][3100/11272] Time 0.780 (0.787) Data 0.001 (0.002) Loss 2.1551 (1.7679) Prec@1 40.000 (53.144) Prec@5 80.000 (82.447) Epoch: [62][3110/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.6731 (1.7678) Prec@1 56.250 (53.149) Prec@5 86.250 (82.452) Epoch: [62][3120/11272] Time 0.756 (0.787) Data 0.001 (0.002) Loss 2.1098 (1.7678) Prec@1 45.625 (53.148) Prec@5 75.625 (82.448) Epoch: [62][3130/11272] Time 0.793 (0.787) Data 0.001 (0.002) Loss 1.8761 (1.7677) Prec@1 50.000 (53.150) Prec@5 82.500 (82.452) Epoch: [62][3140/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.8509 (1.7680) Prec@1 50.000 (53.141) Prec@5 81.250 (82.447) Epoch: [62][3150/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 2.0327 (1.7679) Prec@1 53.125 (53.151) Prec@5 75.625 (82.448) Epoch: [62][3160/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.5944 (1.7679) Prec@1 51.250 (53.149) Prec@5 86.250 (82.450) Epoch: [62][3170/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.8025 (1.7682) Prec@1 56.250 (53.146) Prec@5 80.625 (82.442) Epoch: [62][3180/11272] Time 0.852 (0.787) Data 0.001 (0.002) Loss 1.5573 (1.7681) Prec@1 55.000 (53.146) Prec@5 86.875 (82.443) Epoch: [62][3190/11272] Time 0.895 (0.787) Data 0.001 (0.002) Loss 1.7251 (1.7679) Prec@1 53.125 (53.149) Prec@5 81.875 (82.443) Epoch: [62][3200/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.8659 (1.7679) Prec@1 52.500 (53.152) Prec@5 77.500 (82.444) Epoch: [62][3210/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.9655 (1.7680) Prec@1 45.625 (53.149) Prec@5 78.750 (82.440) Epoch: [62][3220/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.6910 (1.7679) Prec@1 56.250 (53.155) Prec@5 83.125 (82.438) Epoch: [62][3230/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.7740 (1.7680) Prec@1 53.750 (53.152) Prec@5 78.125 (82.438) Epoch: [62][3240/11272] Time 0.758 (0.786) Data 0.002 (0.002) Loss 1.7310 (1.7679) Prec@1 50.625 (53.149) Prec@5 84.375 (82.441) Epoch: [62][3250/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.9118 (1.7681) Prec@1 50.000 (53.146) Prec@5 82.500 (82.437) Epoch: [62][3260/11272] Time 0.919 (0.787) Data 0.001 (0.002) Loss 1.7279 (1.7681) Prec@1 52.500 (53.143) Prec@5 83.125 (82.437) Epoch: [62][3270/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.9154 (1.7683) Prec@1 51.875 (53.137) Prec@5 81.875 (82.434) Epoch: [62][3280/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.8490 (1.7682) Prec@1 51.250 (53.142) Prec@5 82.500 (82.439) Epoch: [62][3290/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.7554 (1.7681) Prec@1 52.500 (53.142) Prec@5 80.000 (82.439) Epoch: [62][3300/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.7473 (1.7679) Prec@1 51.250 (53.149) Prec@5 84.375 (82.445) Epoch: [62][3310/11272] Time 0.766 (0.787) Data 0.002 (0.002) Loss 2.0238 (1.7680) Prec@1 46.250 (53.143) Prec@5 80.000 (82.446) Epoch: [62][3320/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.8554 (1.7679) Prec@1 50.625 (53.141) Prec@5 80.000 (82.447) Epoch: [62][3330/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.7277 (1.7679) Prec@1 56.250 (53.137) Prec@5 84.375 (82.447) Epoch: [62][3340/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.8813 (1.7679) Prec@1 48.125 (53.140) Prec@5 85.625 (82.447) Epoch: [62][3350/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.7527 (1.7678) Prec@1 55.625 (53.143) Prec@5 80.625 (82.446) Epoch: [62][3360/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.7905 (1.7680) Prec@1 52.500 (53.133) Prec@5 86.875 (82.447) Epoch: [62][3370/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 1.7894 (1.7680) Prec@1 56.250 (53.134) Prec@5 80.625 (82.448) Epoch: [62][3380/11272] Time 0.735 (0.786) Data 0.003 (0.002) Loss 1.5439 (1.7678) Prec@1 55.625 (53.134) Prec@5 83.125 (82.449) Epoch: [62][3390/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 2.0724 (1.7680) Prec@1 43.750 (53.132) Prec@5 78.750 (82.445) Epoch: [62][3400/11272] Time 0.857 (0.786) Data 0.002 (0.002) Loss 2.0014 (1.7682) Prec@1 49.375 (53.130) Prec@5 76.250 (82.443) Epoch: [62][3410/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.7481 (1.7683) Prec@1 50.000 (53.127) Prec@5 83.750 (82.444) Epoch: [62][3420/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.7169 (1.7685) Prec@1 58.125 (53.128) Prec@5 85.625 (82.440) Epoch: [62][3430/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.8753 (1.7684) Prec@1 49.375 (53.130) Prec@5 83.750 (82.441) Epoch: [62][3440/11272] Time 0.878 (0.786) Data 0.001 (0.002) Loss 1.8468 (1.7683) Prec@1 53.750 (53.137) Prec@5 78.125 (82.446) Epoch: [62][3450/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.7781 (1.7683) Prec@1 53.125 (53.136) Prec@5 81.875 (82.448) Epoch: [62][3460/11272] Time 0.721 (0.786) Data 0.002 (0.002) Loss 1.7500 (1.7681) Prec@1 55.000 (53.138) Prec@5 83.125 (82.454) Epoch: [62][3470/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.6642 (1.7682) Prec@1 56.250 (53.138) Prec@5 83.125 (82.453) Epoch: [62][3480/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.6203 (1.7681) Prec@1 54.375 (53.141) Prec@5 84.375 (82.454) Epoch: [62][3490/11272] Time 0.874 (0.786) Data 0.002 (0.002) Loss 1.7282 (1.7682) Prec@1 53.750 (53.139) Prec@5 81.250 (82.451) Epoch: [62][3500/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.5710 (1.7681) Prec@1 63.750 (53.148) Prec@5 86.250 (82.455) Epoch: [62][3510/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.6881 (1.7682) Prec@1 55.000 (53.147) Prec@5 83.750 (82.453) Epoch: [62][3520/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7631 (1.7683) Prec@1 56.250 (53.145) Prec@5 81.250 (82.451) Epoch: [62][3530/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.5677 (1.7684) Prec@1 54.375 (53.142) Prec@5 87.500 (82.450) Epoch: [62][3540/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7862 (1.7683) Prec@1 51.250 (53.144) Prec@5 83.750 (82.454) Epoch: [62][3550/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8045 (1.7682) Prec@1 48.750 (53.145) Prec@5 81.875 (82.458) Epoch: [62][3560/11272] Time 0.832 (0.786) Data 0.002 (0.002) Loss 1.8891 (1.7682) Prec@1 52.500 (53.141) Prec@5 76.250 (82.456) Epoch: [62][3570/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.6610 (1.7681) Prec@1 56.250 (53.144) Prec@5 83.750 (82.457) Epoch: [62][3580/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.7200 (1.7683) Prec@1 53.125 (53.141) Prec@5 82.500 (82.452) Epoch: [62][3590/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.6679 (1.7683) Prec@1 55.625 (53.140) Prec@5 83.750 (82.452) Epoch: [62][3600/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.6297 (1.7682) Prec@1 56.875 (53.146) Prec@5 86.250 (82.453) Epoch: [62][3610/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.5396 (1.7683) Prec@1 56.875 (53.142) Prec@5 82.500 (82.451) Epoch: [62][3620/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.8632 (1.7683) Prec@1 55.000 (53.145) Prec@5 80.000 (82.450) Epoch: [62][3630/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 1.6811 (1.7682) Prec@1 56.250 (53.146) Prec@5 83.750 (82.452) Epoch: [62][3640/11272] Time 0.732 (0.786) Data 0.003 (0.002) Loss 1.7398 (1.7682) Prec@1 54.375 (53.149) Prec@5 80.625 (82.450) Epoch: [62][3650/11272] Time 0.756 (0.786) Data 0.002 (0.002) Loss 1.7797 (1.7681) Prec@1 53.750 (53.149) Prec@5 81.875 (82.451) Epoch: [62][3660/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.7843 (1.7681) Prec@1 53.125 (53.148) Prec@5 85.625 (82.451) Epoch: [62][3670/11272] Time 0.801 (0.786) Data 0.001 (0.002) Loss 1.8167 (1.7681) Prec@1 51.875 (53.149) Prec@5 79.375 (82.452) Epoch: [62][3680/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 1.9269 (1.7681) Prec@1 48.125 (53.151) Prec@5 81.250 (82.451) Epoch: [62][3690/11272] Time 0.757 (0.786) Data 0.004 (0.002) Loss 1.9266 (1.7682) Prec@1 48.750 (53.145) Prec@5 80.000 (82.445) Epoch: [62][3700/11272] Time 0.864 (0.786) Data 0.002 (0.002) Loss 1.7717 (1.7682) Prec@1 51.875 (53.147) Prec@5 80.000 (82.445) Epoch: [62][3710/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 2.0615 (1.7682) Prec@1 43.750 (53.143) Prec@5 77.500 (82.447) Epoch: [62][3720/11272] Time 0.796 (0.786) Data 0.002 (0.002) Loss 1.7388 (1.7681) Prec@1 54.375 (53.150) Prec@5 85.625 (82.451) Epoch: [62][3730/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 1.6363 (1.7680) Prec@1 55.625 (53.153) Prec@5 85.625 (82.452) Epoch: [62][3740/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.6608 (1.7679) Prec@1 57.500 (53.157) Prec@5 83.750 (82.452) Epoch: [62][3750/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.7538 (1.7682) Prec@1 56.875 (53.155) Prec@5 81.250 (82.449) Epoch: [62][3760/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 2.0056 (1.7682) Prec@1 49.375 (53.155) Prec@5 81.875 (82.445) Epoch: [62][3770/11272] Time 0.817 (0.786) Data 0.002 (0.002) Loss 1.5994 (1.7680) Prec@1 63.125 (53.156) Prec@5 83.125 (82.450) Epoch: [62][3780/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.6838 (1.7679) Prec@1 55.000 (53.159) Prec@5 85.625 (82.452) Epoch: [62][3790/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.6865 (1.7679) Prec@1 53.750 (53.157) Prec@5 87.500 (82.453) Epoch: [62][3800/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.9292 (1.7679) Prec@1 46.250 (53.154) Prec@5 79.375 (82.450) Epoch: [62][3810/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8212 (1.7680) Prec@1 50.000 (53.154) Prec@5 81.250 (82.451) Epoch: [62][3820/11272] Time 0.828 (0.786) Data 0.002 (0.002) Loss 1.6476 (1.7681) Prec@1 55.625 (53.152) Prec@5 83.125 (82.451) Epoch: [62][3830/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.8267 (1.7682) Prec@1 52.500 (53.154) Prec@5 79.375 (82.447) Epoch: [62][3840/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 2.0239 (1.7684) Prec@1 47.500 (53.147) Prec@5 83.750 (82.445) Epoch: [62][3850/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.8648 (1.7684) Prec@1 53.750 (53.144) Prec@5 79.375 (82.444) Epoch: [62][3860/11272] Time 0.808 (0.786) Data 0.006 (0.002) Loss 1.8321 (1.7683) Prec@1 49.375 (53.148) Prec@5 80.625 (82.445) Epoch: [62][3870/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7889 (1.7685) Prec@1 50.625 (53.146) Prec@5 83.750 (82.444) Epoch: [62][3880/11272] Time 0.725 (0.786) Data 0.002 (0.002) Loss 1.7719 (1.7685) Prec@1 55.000 (53.144) Prec@5 81.250 (82.443) Epoch: [62][3890/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.9308 (1.7686) Prec@1 48.125 (53.142) Prec@5 80.000 (82.439) Epoch: [62][3900/11272] Time 0.802 (0.786) Data 0.001 (0.002) Loss 1.6414 (1.7686) Prec@1 51.250 (53.141) Prec@5 83.750 (82.441) Epoch: [62][3910/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.8547 (1.7688) Prec@1 51.250 (53.134) Prec@5 79.375 (82.437) Epoch: [62][3920/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.7832 (1.7689) Prec@1 55.000 (53.135) Prec@5 81.875 (82.435) Epoch: [62][3930/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.8262 (1.7689) Prec@1 51.875 (53.131) Prec@5 81.250 (82.436) Epoch: [62][3940/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.8680 (1.7687) Prec@1 53.125 (53.137) Prec@5 80.000 (82.438) Epoch: [62][3950/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8584 (1.7688) Prec@1 51.250 (53.139) Prec@5 78.750 (82.439) Epoch: [62][3960/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.6052 (1.7688) Prec@1 56.250 (53.136) Prec@5 88.125 (82.440) Epoch: [62][3970/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.6700 (1.7689) Prec@1 55.625 (53.134) Prec@5 84.375 (82.439) Epoch: [62][3980/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.8214 (1.7689) Prec@1 55.000 (53.132) Prec@5 81.875 (82.439) Epoch: [62][3990/11272] Time 0.722 (0.786) Data 0.002 (0.002) Loss 1.8071 (1.7689) Prec@1 51.250 (53.132) Prec@5 80.625 (82.439) Epoch: [62][4000/11272] Time 0.819 (0.786) Data 0.002 (0.002) Loss 1.5882 (1.7690) Prec@1 60.625 (53.131) Prec@5 88.125 (82.439) Epoch: [62][4010/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8740 (1.7690) Prec@1 51.875 (53.128) Prec@5 85.000 (82.441) Epoch: [62][4020/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.7182 (1.7690) Prec@1 53.750 (53.128) Prec@5 89.375 (82.444) Epoch: [62][4030/11272] Time 0.725 (0.786) Data 0.002 (0.002) Loss 1.6818 (1.7691) Prec@1 51.875 (53.123) Prec@5 83.750 (82.443) Epoch: [62][4040/11272] Time 0.883 (0.786) Data 0.002 (0.002) Loss 1.7910 (1.7693) Prec@1 55.625 (53.123) Prec@5 83.125 (82.440) Epoch: [62][4050/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.8940 (1.7694) Prec@1 54.375 (53.122) Prec@5 79.375 (82.439) Epoch: [62][4060/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.6438 (1.7692) Prec@1 56.250 (53.130) Prec@5 86.250 (82.444) Epoch: [62][4070/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.6520 (1.7692) Prec@1 53.125 (53.128) Prec@5 80.625 (82.444) Epoch: [62][4080/11272] Time 0.804 (0.786) Data 0.002 (0.002) Loss 1.7552 (1.7692) Prec@1 54.375 (53.126) Prec@5 82.500 (82.443) Epoch: [62][4090/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.6865 (1.7693) Prec@1 52.500 (53.126) Prec@5 87.500 (82.440) Epoch: [62][4100/11272] Time 0.730 (0.786) Data 0.001 (0.002) Loss 1.5827 (1.7692) Prec@1 57.500 (53.129) Prec@5 88.125 (82.442) Epoch: [62][4110/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 1.6393 (1.7693) Prec@1 62.500 (53.131) Prec@5 85.625 (82.440) Epoch: [62][4120/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 1.7755 (1.7693) Prec@1 53.750 (53.130) Prec@5 82.500 (82.440) Epoch: [62][4130/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.7186 (1.7692) Prec@1 56.875 (53.132) Prec@5 83.750 (82.442) Epoch: [62][4140/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.8584 (1.7691) Prec@1 53.125 (53.133) Prec@5 79.375 (82.445) Epoch: [62][4150/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.9068 (1.7693) Prec@1 48.750 (53.128) Prec@5 78.125 (82.444) Epoch: [62][4160/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.8456 (1.7694) Prec@1 50.625 (53.127) Prec@5 79.375 (82.442) Epoch: [62][4170/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 1.6855 (1.7695) Prec@1 56.250 (53.124) Prec@5 83.125 (82.439) Epoch: [62][4180/11272] Time 0.826 (0.786) Data 0.002 (0.002) Loss 1.8062 (1.7694) Prec@1 51.250 (53.129) Prec@5 83.750 (82.441) Epoch: [62][4190/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.5836 (1.7693) Prec@1 53.125 (53.134) Prec@5 86.250 (82.442) Epoch: [62][4200/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7417 (1.7693) Prec@1 56.875 (53.139) Prec@5 80.625 (82.441) Epoch: [62][4210/11272] Time 0.725 (0.786) Data 0.002 (0.002) Loss 1.6117 (1.7694) Prec@1 58.125 (53.139) Prec@5 83.125 (82.439) Epoch: [62][4220/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.7104 (1.7694) Prec@1 53.750 (53.138) Prec@5 81.875 (82.440) Epoch: [62][4230/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.6064 (1.7693) Prec@1 56.875 (53.139) Prec@5 86.250 (82.442) Epoch: [62][4240/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 2.0891 (1.7693) Prec@1 43.750 (53.139) Prec@5 81.250 (82.443) Epoch: [62][4250/11272] Time 0.765 (0.786) Data 0.001 (0.002) Loss 1.8126 (1.7692) Prec@1 48.125 (53.141) Prec@5 80.625 (82.445) Epoch: [62][4260/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.7525 (1.7693) Prec@1 52.500 (53.138) Prec@5 81.875 (82.444) Epoch: [62][4270/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.6233 (1.7692) Prec@1 57.500 (53.140) Prec@5 84.375 (82.448) Epoch: [62][4280/11272] Time 0.725 (0.786) Data 0.002 (0.002) Loss 1.8350 (1.7692) Prec@1 48.750 (53.138) Prec@5 81.250 (82.444) Epoch: [62][4290/11272] Time 0.759 (0.786) Data 0.002 (0.002) Loss 1.8077 (1.7691) Prec@1 53.750 (53.139) Prec@5 84.375 (82.449) Epoch: [62][4300/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 1.7410 (1.7690) Prec@1 55.625 (53.140) Prec@5 86.875 (82.449) Epoch: [62][4310/11272] Time 0.748 (0.786) Data 0.003 (0.002) Loss 1.5234 (1.7690) Prec@1 58.750 (53.142) Prec@5 86.875 (82.451) Epoch: [62][4320/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.9343 (1.7692) Prec@1 49.375 (53.137) Prec@5 78.750 (82.448) Epoch: [62][4330/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.8380 (1.7692) Prec@1 49.375 (53.133) Prec@5 77.500 (82.447) Epoch: [62][4340/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 1.8388 (1.7693) Prec@1 52.500 (53.132) Prec@5 82.500 (82.445) Epoch: [62][4350/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.8832 (1.7692) Prec@1 51.250 (53.132) Prec@5 81.250 (82.447) Epoch: [62][4360/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.7063 (1.7692) Prec@1 51.875 (53.132) Prec@5 84.375 (82.449) Epoch: [62][4370/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.4264 (1.7690) Prec@1 57.500 (53.132) Prec@5 87.500 (82.452) Epoch: [62][4380/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7705 (1.7691) Prec@1 50.000 (53.131) Prec@5 81.250 (82.450) Epoch: [62][4390/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.5735 (1.7690) Prec@1 58.125 (53.137) Prec@5 84.375 (82.449) Epoch: [62][4400/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.7577 (1.7692) Prec@1 53.125 (53.129) Prec@5 79.375 (82.444) Epoch: [62][4410/11272] Time 0.886 (0.786) Data 0.002 (0.002) Loss 1.9030 (1.7692) Prec@1 53.750 (53.130) Prec@5 81.250 (82.443) Epoch: [62][4420/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.7517 (1.7692) Prec@1 53.750 (53.131) Prec@5 85.625 (82.444) Epoch: [62][4430/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.7560 (1.7692) Prec@1 54.375 (53.130) Prec@5 82.500 (82.444) Epoch: [62][4440/11272] Time 0.776 (0.786) Data 0.001 (0.002) Loss 1.8486 (1.7692) Prec@1 45.625 (53.127) Prec@5 80.000 (82.446) Epoch: [62][4450/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.6801 (1.7691) Prec@1 58.125 (53.129) Prec@5 83.750 (82.450) Epoch: [62][4460/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 2.0500 (1.7691) Prec@1 46.875 (53.129) Prec@5 80.000 (82.453) Epoch: [62][4470/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 2.0021 (1.7693) Prec@1 49.375 (53.123) Prec@5 77.500 (82.450) Epoch: [62][4480/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.7140 (1.7693) Prec@1 55.625 (53.120) Prec@5 80.000 (82.450) Epoch: [62][4490/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.8404 (1.7695) Prec@1 53.125 (53.114) Prec@5 81.250 (82.448) Epoch: [62][4500/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.8000 (1.7696) Prec@1 55.625 (53.117) Prec@5 81.875 (82.447) Epoch: [62][4510/11272] Time 0.758 (0.786) Data 0.006 (0.002) Loss 1.5904 (1.7697) Prec@1 53.750 (53.116) Prec@5 89.375 (82.445) Epoch: [62][4520/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.8425 (1.7698) Prec@1 49.375 (53.117) Prec@5 83.750 (82.444) Epoch: [62][4530/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.8911 (1.7699) Prec@1 50.625 (53.112) Prec@5 79.375 (82.444) Epoch: [62][4540/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6455 (1.7698) Prec@1 56.875 (53.113) Prec@5 84.375 (82.447) Epoch: [62][4550/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.6827 (1.7697) Prec@1 56.250 (53.114) Prec@5 84.375 (82.449) Epoch: [62][4560/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 1.6465 (1.7697) Prec@1 53.750 (53.114) Prec@5 81.875 (82.451) Epoch: [62][4570/11272] Time 0.727 (0.786) Data 0.003 (0.002) Loss 1.6641 (1.7697) Prec@1 52.500 (53.111) Prec@5 85.000 (82.453) Epoch: [62][4580/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.5996 (1.7695) Prec@1 54.375 (53.115) Prec@5 83.750 (82.454) Epoch: [62][4590/11272] Time 0.884 (0.786) Data 0.002 (0.002) Loss 1.9619 (1.7695) Prec@1 44.375 (53.116) Prec@5 78.125 (82.454) Epoch: [62][4600/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.8526 (1.7696) Prec@1 49.375 (53.116) Prec@5 83.125 (82.451) Epoch: [62][4610/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 2.0163 (1.7697) Prec@1 51.875 (53.116) Prec@5 79.375 (82.448) Epoch: [62][4620/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.8851 (1.7696) Prec@1 50.625 (53.120) Prec@5 83.750 (82.451) Epoch: [62][4630/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.7121 (1.7697) Prec@1 51.875 (53.117) Prec@5 83.750 (82.448) Epoch: [62][4640/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7122 (1.7699) Prec@1 55.625 (53.114) Prec@5 85.000 (82.445) Epoch: [62][4650/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 1.8731 (1.7698) Prec@1 50.625 (53.115) Prec@5 81.875 (82.445) Epoch: [62][4660/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.5436 (1.7699) Prec@1 62.500 (53.115) Prec@5 86.250 (82.443) Epoch: [62][4670/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.6913 (1.7698) Prec@1 58.125 (53.121) Prec@5 85.000 (82.445) Epoch: [62][4680/11272] Time 0.871 (0.786) Data 0.001 (0.002) Loss 1.8090 (1.7696) Prec@1 47.500 (53.126) Prec@5 83.750 (82.447) Epoch: [62][4690/11272] Time 0.769 (0.786) Data 0.002 (0.002) Loss 1.5189 (1.7696) Prec@1 53.750 (53.128) Prec@5 88.750 (82.447) Epoch: [62][4700/11272] Time 0.879 (0.786) Data 0.001 (0.002) Loss 1.6374 (1.7696) Prec@1 60.000 (53.130) Prec@5 86.250 (82.448) Epoch: [62][4710/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 2.0150 (1.7697) Prec@1 48.125 (53.129) Prec@5 79.375 (82.447) Epoch: [62][4720/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 1.7314 (1.7696) Prec@1 57.500 (53.134) Prec@5 78.125 (82.449) Epoch: [62][4730/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.6276 (1.7696) Prec@1 54.375 (53.136) Prec@5 86.250 (82.449) Epoch: [62][4740/11272] Time 0.793 (0.786) Data 0.001 (0.002) Loss 1.6509 (1.7695) Prec@1 55.000 (53.139) Prec@5 81.250 (82.450) Epoch: [62][4750/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.7457 (1.7695) Prec@1 54.375 (53.139) Prec@5 83.125 (82.449) Epoch: [62][4760/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 1.6353 (1.7694) Prec@1 56.250 (53.141) Prec@5 87.500 (82.449) Epoch: [62][4770/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.6714 (1.7695) Prec@1 53.125 (53.142) Prec@5 85.000 (82.446) Epoch: [62][4780/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.7137 (1.7694) Prec@1 54.375 (53.144) Prec@5 83.750 (82.449) Epoch: [62][4790/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.6288 (1.7694) Prec@1 58.750 (53.146) Prec@5 86.250 (82.450) Epoch: [62][4800/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 2.1123 (1.7694) Prec@1 46.875 (53.147) Prec@5 73.125 (82.448) Epoch: [62][4810/11272] Time 0.695 (0.786) Data 0.001 (0.002) Loss 1.6640 (1.7693) Prec@1 58.125 (53.150) Prec@5 83.750 (82.450) Epoch: [62][4820/11272] Time 0.875 (0.786) Data 0.001 (0.002) Loss 1.7624 (1.7692) Prec@1 54.375 (53.149) Prec@5 83.750 (82.449) Epoch: [62][4830/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.6706 (1.7693) Prec@1 54.375 (53.149) Prec@5 82.500 (82.449) Epoch: [62][4840/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.6519 (1.7693) Prec@1 54.375 (53.147) Prec@5 82.500 (82.450) Epoch: [62][4850/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.6501 (1.7693) Prec@1 58.750 (53.147) Prec@5 85.000 (82.448) Epoch: [62][4860/11272] Time 0.868 (0.786) Data 0.001 (0.002) Loss 1.5927 (1.7691) Prec@1 60.000 (53.151) Prec@5 83.125 (82.452) Epoch: [62][4870/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8415 (1.7692) Prec@1 50.625 (53.151) Prec@5 80.000 (82.451) Epoch: [62][4880/11272] Time 0.724 (0.786) Data 0.003 (0.002) Loss 1.9205 (1.7692) Prec@1 53.750 (53.147) Prec@5 79.375 (82.450) Epoch: [62][4890/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.8415 (1.7693) Prec@1 55.000 (53.148) Prec@5 76.250 (82.449) Epoch: [62][4900/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.8451 (1.7692) Prec@1 48.750 (53.146) Prec@5 81.250 (82.448) Epoch: [62][4910/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 1.7620 (1.7691) Prec@1 49.375 (53.146) Prec@5 83.750 (82.451) Epoch: [62][4920/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.7864 (1.7691) Prec@1 49.375 (53.146) Prec@5 83.750 (82.454) Epoch: [62][4930/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.9177 (1.7692) Prec@1 53.125 (53.144) Prec@5 80.000 (82.453) Epoch: [62][4940/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.9146 (1.7693) Prec@1 47.500 (53.145) Prec@5 79.375 (82.451) Epoch: [62][4950/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.6909 (1.7693) Prec@1 53.125 (53.147) Prec@5 81.250 (82.449) Epoch: [62][4960/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.7309 (1.7693) Prec@1 50.000 (53.147) Prec@5 84.375 (82.450) Epoch: [62][4970/11272] Time 0.826 (0.786) Data 0.001 (0.002) Loss 1.8111 (1.7693) Prec@1 51.250 (53.149) Prec@5 83.125 (82.448) Epoch: [62][4980/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 2.0303 (1.7694) Prec@1 51.250 (53.146) Prec@5 77.500 (82.449) Epoch: [62][4990/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.8419 (1.7694) Prec@1 53.125 (53.145) Prec@5 79.375 (82.449) Epoch: [62][5000/11272] Time 0.794 (0.786) Data 0.001 (0.002) Loss 1.5633 (1.7694) Prec@1 58.125 (53.144) Prec@5 89.375 (82.451) Epoch: [62][5010/11272] Time 0.828 (0.786) Data 0.002 (0.002) Loss 1.7307 (1.7693) Prec@1 46.250 (53.146) Prec@5 83.125 (82.451) Epoch: [62][5020/11272] Time 0.723 (0.786) Data 0.002 (0.002) Loss 1.8111 (1.7693) Prec@1 52.500 (53.144) Prec@5 80.625 (82.452) Epoch: [62][5030/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.9246 (1.7693) Prec@1 42.500 (53.143) Prec@5 81.875 (82.452) Epoch: [62][5040/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.7727 (1.7693) Prec@1 55.000 (53.141) Prec@5 80.625 (82.453) Epoch: [62][5050/11272] Time 0.800 (0.786) Data 0.001 (0.002) Loss 1.6698 (1.7693) Prec@1 53.125 (53.141) Prec@5 85.625 (82.452) Epoch: [62][5060/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.6472 (1.7695) Prec@1 60.625 (53.137) Prec@5 81.250 (82.450) Epoch: [62][5070/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.8858 (1.7696) Prec@1 55.000 (53.137) Prec@5 80.000 (82.451) Epoch: [62][5080/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.6840 (1.7696) Prec@1 52.500 (53.131) Prec@5 86.250 (82.451) Epoch: [62][5090/11272] Time 0.811 (0.786) Data 0.001 (0.002) Loss 1.9735 (1.7696) Prec@1 51.250 (53.131) Prec@5 80.000 (82.451) Epoch: [62][5100/11272] Time 0.743 (0.786) Data 0.002 (0.002) Loss 1.7257 (1.7696) Prec@1 55.000 (53.132) Prec@5 81.875 (82.454) Epoch: [62][5110/11272] Time 0.884 (0.786) Data 0.002 (0.002) Loss 1.6454 (1.7697) Prec@1 55.000 (53.129) Prec@5 85.625 (82.454) Epoch: [62][5120/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.9434 (1.7698) Prec@1 47.500 (53.128) Prec@5 78.125 (82.451) Epoch: [62][5130/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.8103 (1.7698) Prec@1 50.625 (53.127) Prec@5 83.125 (82.454) Epoch: [62][5140/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.7911 (1.7697) Prec@1 51.250 (53.130) Prec@5 84.375 (82.455) Epoch: [62][5150/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.7342 (1.7698) Prec@1 51.875 (53.130) Prec@5 83.125 (82.452) Epoch: [62][5160/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.7559 (1.7698) Prec@1 48.125 (53.128) Prec@5 83.125 (82.453) Epoch: [62][5170/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.7516 (1.7698) Prec@1 54.375 (53.128) Prec@5 81.875 (82.451) Epoch: [62][5180/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.8843 (1.7699) Prec@1 50.625 (53.125) Prec@5 79.375 (82.448) Epoch: [62][5190/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.7734 (1.7700) Prec@1 53.750 (53.122) Prec@5 82.500 (82.447) Epoch: [62][5200/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.8019 (1.7701) Prec@1 51.875 (53.120) Prec@5 81.875 (82.445) Epoch: [62][5210/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8903 (1.7702) Prec@1 49.375 (53.116) Prec@5 81.250 (82.443) Epoch: [62][5220/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.9062 (1.7702) Prec@1 49.375 (53.115) Prec@5 80.625 (82.443) Epoch: [62][5230/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.6360 (1.7703) Prec@1 61.875 (53.114) Prec@5 80.625 (82.442) Epoch: [62][5240/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7698 (1.7702) Prec@1 50.625 (53.115) Prec@5 80.000 (82.443) Epoch: [62][5250/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.5411 (1.7701) Prec@1 55.625 (53.116) Prec@5 85.000 (82.447) Epoch: [62][5260/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.6795 (1.7701) Prec@1 56.250 (53.115) Prec@5 83.125 (82.447) Epoch: [62][5270/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.7729 (1.7701) Prec@1 52.500 (53.114) Prec@5 82.500 (82.447) Epoch: [62][5280/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.4667 (1.7700) Prec@1 56.250 (53.116) Prec@5 86.875 (82.448) Epoch: [62][5290/11272] Time 0.722 (0.786) Data 0.002 (0.002) Loss 1.4507 (1.7701) Prec@1 58.750 (53.115) Prec@5 88.125 (82.446) Epoch: [62][5300/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 1.6084 (1.7700) Prec@1 56.875 (53.117) Prec@5 86.875 (82.447) Epoch: [62][5310/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.7531 (1.7700) Prec@1 50.625 (53.120) Prec@5 85.000 (82.447) Epoch: [62][5320/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 1.6391 (1.7700) Prec@1 55.000 (53.117) Prec@5 83.750 (82.447) Epoch: [62][5330/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.7049 (1.7699) Prec@1 55.000 (53.123) Prec@5 82.500 (82.450) Epoch: [62][5340/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 2.0490 (1.7698) Prec@1 43.750 (53.123) Prec@5 78.125 (82.451) Epoch: [62][5350/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.7438 (1.7700) Prec@1 53.750 (53.119) Prec@5 80.625 (82.447) Epoch: [62][5360/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.7371 (1.7699) Prec@1 48.125 (53.119) Prec@5 83.125 (82.449) Epoch: [62][5370/11272] Time 0.870 (0.786) Data 0.002 (0.002) Loss 1.7686 (1.7699) Prec@1 53.750 (53.117) Prec@5 82.500 (82.449) Epoch: [62][5380/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 2.0216 (1.7699) Prec@1 39.375 (53.116) Prec@5 77.500 (82.450) Epoch: [62][5390/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.6886 (1.7697) Prec@1 51.250 (53.119) Prec@5 87.500 (82.452) Epoch: [62][5400/11272] Time 0.723 (0.786) Data 0.002 (0.002) Loss 1.8320 (1.7698) Prec@1 51.250 (53.118) Prec@5 81.875 (82.453) Epoch: [62][5410/11272] Time 0.861 (0.786) Data 0.001 (0.002) Loss 1.9987 (1.7699) Prec@1 50.000 (53.116) Prec@5 77.500 (82.452) Epoch: [62][5420/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.6116 (1.7697) Prec@1 61.875 (53.121) Prec@5 85.625 (82.455) Epoch: [62][5430/11272] Time 0.718 (0.786) Data 0.002 (0.002) Loss 1.6433 (1.7696) Prec@1 54.375 (53.122) Prec@5 84.375 (82.456) Epoch: [62][5440/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.5789 (1.7696) Prec@1 59.375 (53.126) Prec@5 83.125 (82.454) Epoch: [62][5450/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.9184 (1.7697) Prec@1 49.375 (53.124) Prec@5 81.250 (82.451) Epoch: [62][5460/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.5761 (1.7697) Prec@1 60.000 (53.124) Prec@5 87.500 (82.453) Epoch: [62][5470/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.6442 (1.7699) Prec@1 61.250 (53.124) Prec@5 83.750 (82.452) Epoch: [62][5480/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 1.7569 (1.7698) Prec@1 54.375 (53.125) Prec@5 84.375 (82.455) Epoch: [62][5490/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.6920 (1.7699) Prec@1 58.125 (53.127) Prec@5 83.750 (82.455) Epoch: [62][5500/11272] Time 0.730 (0.786) Data 0.003 (0.002) Loss 1.6336 (1.7699) Prec@1 54.375 (53.127) Prec@5 86.875 (82.456) Epoch: [62][5510/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7785 (1.7699) Prec@1 47.500 (53.125) Prec@5 81.250 (82.455) Epoch: [62][5520/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.8849 (1.7699) Prec@1 49.375 (53.123) Prec@5 80.625 (82.453) Epoch: [62][5530/11272] Time 0.825 (0.786) Data 0.002 (0.002) Loss 1.9561 (1.7698) Prec@1 48.750 (53.123) Prec@5 78.125 (82.454) Epoch: [62][5540/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.7921 (1.7698) Prec@1 55.625 (53.125) Prec@5 80.625 (82.456) Epoch: [62][5550/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.5958 (1.7699) Prec@1 58.125 (53.124) Prec@5 87.500 (82.457) Epoch: [62][5560/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.6428 (1.7698) Prec@1 56.875 (53.123) Prec@5 85.625 (82.455) Epoch: [62][5570/11272] Time 0.805 (0.786) Data 0.001 (0.002) Loss 1.6265 (1.7696) Prec@1 57.500 (53.126) Prec@5 85.000 (82.457) Epoch: [62][5580/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.7605 (1.7696) Prec@1 54.375 (53.128) Prec@5 80.625 (82.455) Epoch: [62][5590/11272] Time 0.775 (0.786) Data 0.002 (0.002) Loss 1.7870 (1.7697) Prec@1 49.375 (53.126) Prec@5 83.750 (82.453) Epoch: [62][5600/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.9225 (1.7697) Prec@1 48.750 (53.124) Prec@5 75.625 (82.451) Epoch: [62][5610/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.7985 (1.7697) Prec@1 50.000 (53.125) Prec@5 80.000 (82.452) Epoch: [62][5620/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.7571 (1.7698) Prec@1 47.500 (53.123) Prec@5 88.125 (82.452) Epoch: [62][5630/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.6461 (1.7698) Prec@1 56.875 (53.120) Prec@5 85.000 (82.453) Epoch: [62][5640/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 2.0138 (1.7698) Prec@1 41.875 (53.120) Prec@5 81.250 (82.450) Epoch: [62][5650/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 1.9341 (1.7698) Prec@1 51.250 (53.121) Prec@5 78.750 (82.450) Epoch: [62][5660/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.8302 (1.7698) Prec@1 54.375 (53.121) Prec@5 81.875 (82.450) Epoch: [62][5670/11272] Time 0.876 (0.786) Data 0.001 (0.002) Loss 1.5850 (1.7697) Prec@1 60.625 (53.127) Prec@5 85.000 (82.453) Epoch: [62][5680/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.7570 (1.7696) Prec@1 56.250 (53.128) Prec@5 80.000 (82.452) Epoch: [62][5690/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 1.7201 (1.7697) Prec@1 51.875 (53.127) Prec@5 85.000 (82.452) Epoch: [62][5700/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 1.6311 (1.7695) Prec@1 55.625 (53.131) Prec@5 85.625 (82.454) Epoch: [62][5710/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.7448 (1.7694) Prec@1 52.500 (53.133) Prec@5 84.375 (82.456) Epoch: [62][5720/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.7262 (1.7694) Prec@1 56.875 (53.134) Prec@5 81.875 (82.456) Epoch: [62][5730/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 1.8012 (1.7694) Prec@1 51.250 (53.132) Prec@5 84.375 (82.457) Epoch: [62][5740/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8787 (1.7694) Prec@1 53.750 (53.131) Prec@5 82.500 (82.457) Epoch: [62][5750/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 1.8614 (1.7694) Prec@1 54.375 (53.133) Prec@5 78.125 (82.457) Epoch: [62][5760/11272] Time 0.867 (0.786) Data 0.002 (0.002) Loss 1.9091 (1.7695) Prec@1 45.000 (53.131) Prec@5 85.000 (82.456) Epoch: [62][5770/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 1.8175 (1.7694) Prec@1 52.500 (53.132) Prec@5 80.000 (82.457) Epoch: [62][5780/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 1.6059 (1.7695) Prec@1 53.750 (53.130) Prec@5 86.875 (82.455) Epoch: [62][5790/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.8574 (1.7695) Prec@1 53.750 (53.129) Prec@5 78.125 (82.455) Epoch: [62][5800/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.8137 (1.7695) Prec@1 48.750 (53.128) Prec@5 83.125 (82.455) Epoch: [62][5810/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.8157 (1.7694) Prec@1 54.375 (53.130) Prec@5 81.875 (82.457) Epoch: [62][5820/11272] Time 0.877 (0.786) Data 0.001 (0.002) Loss 1.7607 (1.7695) Prec@1 55.000 (53.131) Prec@5 82.500 (82.456) Epoch: [62][5830/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.7048 (1.7694) Prec@1 52.500 (53.131) Prec@5 83.125 (82.456) Epoch: [62][5840/11272] Time 0.769 (0.786) Data 0.002 (0.002) Loss 1.7069 (1.7694) Prec@1 53.125 (53.133) Prec@5 78.125 (82.456) Epoch: [62][5850/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.7243 (1.7694) Prec@1 51.875 (53.132) Prec@5 85.000 (82.456) Epoch: [62][5860/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 1.5305 (1.7691) Prec@1 60.000 (53.137) Prec@5 86.250 (82.460) Epoch: [62][5870/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.8014 (1.7692) Prec@1 51.875 (53.138) Prec@5 78.750 (82.458) Epoch: [62][5880/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 2.0541 (1.7691) Prec@1 44.375 (53.140) Prec@5 80.000 (82.459) Epoch: [62][5890/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 2.0824 (1.7692) Prec@1 48.125 (53.138) Prec@5 76.250 (82.457) Epoch: [62][5900/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.8980 (1.7692) Prec@1 50.000 (53.138) Prec@5 80.625 (82.457) Epoch: [62][5910/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.7899 (1.7692) Prec@1 53.750 (53.140) Prec@5 80.000 (82.457) Epoch: [62][5920/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.8035 (1.7691) Prec@1 52.500 (53.141) Prec@5 78.750 (82.456) Epoch: [62][5930/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.8255 (1.7692) Prec@1 54.375 (53.143) Prec@5 84.375 (82.455) Epoch: [62][5940/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.7896 (1.7691) Prec@1 51.250 (53.144) Prec@5 81.875 (82.457) Epoch: [62][5950/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.7632 (1.7690) Prec@1 58.125 (53.146) Prec@5 82.500 (82.459) Epoch: [62][5960/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6965 (1.7691) Prec@1 56.250 (53.145) Prec@5 83.750 (82.457) Epoch: [62][5970/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8319 (1.7692) Prec@1 46.875 (53.140) Prec@5 82.500 (82.456) Epoch: [62][5980/11272] Time 0.822 (0.786) Data 0.002 (0.002) Loss 1.8639 (1.7692) Prec@1 50.000 (53.141) Prec@5 81.250 (82.455) Epoch: [62][5990/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.6545 (1.7690) Prec@1 56.250 (53.144) Prec@5 82.500 (82.458) Epoch: [62][6000/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 1.7177 (1.7690) Prec@1 50.625 (53.143) Prec@5 83.125 (82.459) Epoch: [62][6010/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 1.5776 (1.7690) Prec@1 53.750 (53.143) Prec@5 85.000 (82.460) Epoch: [62][6020/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.1216 (1.7690) Prec@1 42.500 (53.142) Prec@5 76.250 (82.460) Epoch: [62][6030/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.6645 (1.7690) Prec@1 55.625 (53.141) Prec@5 82.500 (82.461) Epoch: [62][6040/11272] Time 0.892 (0.786) Data 0.002 (0.002) Loss 1.6177 (1.7690) Prec@1 56.875 (53.142) Prec@5 81.875 (82.458) Epoch: [62][6050/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.5640 (1.7690) Prec@1 60.000 (53.141) Prec@5 86.875 (82.459) Epoch: [62][6060/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.6945 (1.7690) Prec@1 55.000 (53.141) Prec@5 84.375 (82.460) Epoch: [62][6070/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.6571 (1.7689) Prec@1 52.500 (53.143) Prec@5 86.875 (82.460) Epoch: [62][6080/11272] Time 0.862 (0.786) Data 0.002 (0.002) Loss 1.6790 (1.7688) Prec@1 56.250 (53.145) Prec@5 83.750 (82.461) Epoch: [62][6090/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.5341 (1.7688) Prec@1 55.625 (53.146) Prec@5 85.625 (82.462) Epoch: [62][6100/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.9348 (1.7687) Prec@1 48.750 (53.149) Prec@5 81.250 (82.464) Epoch: [62][6110/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 1.6001 (1.7687) Prec@1 57.500 (53.149) Prec@5 88.125 (82.466) Epoch: [62][6120/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7577 (1.7687) Prec@1 56.875 (53.149) Prec@5 80.000 (82.464) Epoch: [62][6130/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.9659 (1.7688) Prec@1 44.375 (53.146) Prec@5 82.500 (82.463) Epoch: [62][6140/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 1.8553 (1.7688) Prec@1 48.750 (53.144) Prec@5 79.375 (82.462) Epoch: [62][6150/11272] Time 0.751 (0.786) Data 0.001 (0.002) Loss 1.7673 (1.7687) Prec@1 54.375 (53.147) Prec@5 85.000 (82.464) Epoch: [62][6160/11272] Time 0.893 (0.795) Data 0.002 (0.011) Loss 1.9017 (1.7687) Prec@1 51.250 (53.145) Prec@5 78.125 (82.465) Epoch: [62][6170/11272] Time 0.716 (0.795) Data 0.003 (0.011) Loss 2.0201 (1.7688) Prec@1 46.250 (53.142) Prec@5 76.875 (82.465) Epoch: [62][6180/11272] Time 0.738 (0.795) Data 0.002 (0.011) Loss 1.6943 (1.7686) Prec@1 55.625 (53.144) Prec@5 83.750 (82.467) Epoch: [62][6190/11272] Time 0.829 (0.795) Data 0.002 (0.011) Loss 1.8734 (1.7685) Prec@1 53.750 (53.147) Prec@5 81.875 (82.470) Epoch: [62][6200/11272] Time 0.825 (0.794) Data 0.001 (0.011) Loss 1.6057 (1.7685) Prec@1 57.500 (53.148) Prec@5 86.875 (82.472) Epoch: [62][6210/11272] Time 0.725 (0.794) Data 0.001 (0.011) Loss 1.8133 (1.7684) Prec@1 50.625 (53.151) Prec@5 81.250 (82.474) Epoch: [62][6220/11272] Time 0.704 (0.794) Data 0.001 (0.011) Loss 1.3403 (1.7683) Prec@1 58.125 (53.150) Prec@5 90.000 (82.473) Epoch: [62][6230/11272] Time 0.828 (0.794) Data 0.001 (0.011) Loss 1.8515 (1.7684) Prec@1 53.750 (53.150) Prec@5 80.625 (82.472) Epoch: [62][6240/11272] Time 0.828 (0.794) Data 0.001 (0.011) Loss 1.6881 (1.7684) Prec@1 54.375 (53.150) Prec@5 86.250 (82.473) Epoch: [62][6250/11272] Time 0.710 (0.794) Data 0.002 (0.011) Loss 1.7550 (1.7683) Prec@1 56.250 (53.151) Prec@5 84.375 (82.475) Epoch: [62][6260/11272] Time 0.706 (0.794) Data 0.002 (0.011) Loss 1.8293 (1.7682) Prec@1 50.000 (53.151) Prec@5 81.875 (82.476) Epoch: [62][6270/11272] Time 0.809 (0.794) Data 0.001 (0.011) Loss 1.6744 (1.7682) Prec@1 57.500 (53.151) Prec@5 83.125 (82.475) Epoch: [62][6280/11272] Time 0.856 (0.794) Data 0.001 (0.011) Loss 1.7148 (1.7683) Prec@1 55.625 (53.151) Prec@5 83.750 (82.474) Epoch: [62][6290/11272] Time 0.702 (0.794) Data 0.001 (0.011) Loss 1.8169 (1.7682) Prec@1 51.875 (53.153) Prec@5 80.625 (82.475) Epoch: [62][6300/11272] Time 0.846 (0.794) Data 0.001 (0.011) Loss 1.6728 (1.7682) Prec@1 53.750 (53.153) Prec@5 85.000 (82.475) Epoch: [62][6310/11272] Time 0.809 (0.794) Data 0.001 (0.011) Loss 1.5557 (1.7682) Prec@1 62.500 (53.153) Prec@5 81.250 (82.476) Epoch: [62][6320/11272] Time 0.716 (0.794) Data 0.001 (0.010) Loss 1.8350 (1.7682) Prec@1 48.125 (53.152) Prec@5 81.875 (82.475) Epoch: [62][6330/11272] Time 0.711 (0.794) Data 0.001 (0.010) Loss 1.8180 (1.7682) Prec@1 51.250 (53.152) Prec@5 81.250 (82.475) Epoch: [62][6340/11272] Time 0.826 (0.794) Data 0.001 (0.010) Loss 1.5888 (1.7681) Prec@1 58.750 (53.153) Prec@5 89.375 (82.477) Epoch: [62][6350/11272] Time 0.812 (0.794) Data 0.001 (0.010) Loss 1.7551 (1.7681) Prec@1 51.875 (53.156) Prec@5 81.875 (82.477) Epoch: [62][6360/11272] Time 0.722 (0.794) Data 0.001 (0.010) Loss 1.7063 (1.7681) Prec@1 51.875 (53.155) Prec@5 83.125 (82.477) Epoch: [62][6370/11272] Time 0.716 (0.794) Data 0.001 (0.010) Loss 1.5904 (1.7681) Prec@1 56.250 (53.155) Prec@5 85.625 (82.477) Epoch: [62][6380/11272] Time 0.830 (0.794) Data 0.001 (0.010) Loss 1.8741 (1.7682) Prec@1 47.500 (53.154) Prec@5 81.875 (82.475) Epoch: [62][6390/11272] Time 0.833 (0.794) Data 0.001 (0.010) Loss 1.8004 (1.7682) Prec@1 56.875 (53.153) Prec@5 81.875 (82.475) Epoch: [62][6400/11272] Time 0.722 (0.794) Data 0.001 (0.010) Loss 1.7161 (1.7682) Prec@1 54.375 (53.152) Prec@5 82.500 (82.476) Epoch: [62][6410/11272] Time 0.711 (0.794) Data 0.001 (0.010) Loss 2.1002 (1.7682) Prec@1 53.125 (53.154) Prec@5 71.875 (82.473) Epoch: [62][6420/11272] Time 0.826 (0.794) Data 0.002 (0.010) Loss 1.8056 (1.7683) Prec@1 51.875 (53.152) Prec@5 83.125 (82.470) Epoch: [62][6430/11272] Time 0.771 (0.794) Data 0.003 (0.010) Loss 1.7902 (1.7682) Prec@1 50.000 (53.154) Prec@5 82.500 (82.472) Epoch: [62][6440/11272] Time 0.704 (0.794) Data 0.001 (0.010) Loss 1.7171 (1.7683) Prec@1 51.250 (53.149) Prec@5 85.000 (82.472) Epoch: [62][6450/11272] Time 0.842 (0.794) Data 0.001 (0.010) Loss 1.5776 (1.7682) Prec@1 58.125 (53.151) Prec@5 84.375 (82.474) Epoch: [62][6460/11272] Time 0.811 (0.794) Data 0.001 (0.010) Loss 1.9491 (1.7681) Prec@1 51.875 (53.156) Prec@5 79.375 (82.476) Epoch: [62][6470/11272] Time 0.712 (0.794) Data 0.001 (0.010) Loss 1.8376 (1.7681) Prec@1 51.875 (53.156) Prec@5 82.500 (82.475) Epoch: [62][6480/11272] Time 0.712 (0.794) Data 0.002 (0.010) Loss 1.8539 (1.7682) Prec@1 47.500 (53.157) Prec@5 82.500 (82.474) Epoch: [62][6490/11272] Time 0.835 (0.794) Data 0.001 (0.010) Loss 1.9246 (1.7681) Prec@1 47.500 (53.156) Prec@5 81.875 (82.476) Epoch: [62][6500/11272] Time 0.863 (0.794) Data 0.001 (0.010) Loss 1.8278 (1.7680) Prec@1 48.750 (53.156) Prec@5 78.750 (82.476) Epoch: [62][6510/11272] Time 0.719 (0.794) Data 0.001 (0.010) Loss 1.5085 (1.7680) Prec@1 63.125 (53.156) Prec@5 86.875 (82.478) Epoch: [62][6520/11272] Time 0.728 (0.793) Data 0.001 (0.010) Loss 1.8608 (1.7680) Prec@1 55.625 (53.158) Prec@5 81.875 (82.475) Epoch: [62][6530/11272] Time 0.824 (0.793) Data 0.001 (0.010) Loss 1.7048 (1.7680) Prec@1 51.250 (53.156) Prec@5 83.750 (82.475) Epoch: [62][6540/11272] Time 0.827 (0.793) Data 0.001 (0.010) Loss 1.7515 (1.7682) Prec@1 51.875 (53.154) Prec@5 79.375 (82.474) Epoch: [62][6550/11272] Time 0.718 (0.793) Data 0.002 (0.010) Loss 1.8750 (1.7681) Prec@1 53.125 (53.154) Prec@5 80.000 (82.473) Epoch: [62][6560/11272] Time 0.824 (0.793) Data 0.001 (0.010) Loss 1.6488 (1.7680) Prec@1 58.125 (53.157) Prec@5 83.750 (82.475) Epoch: [62][6570/11272] Time 0.813 (0.793) Data 0.001 (0.010) Loss 1.9722 (1.7680) Prec@1 46.875 (53.158) Prec@5 81.875 (82.476) Epoch: [62][6580/11272] Time 0.751 (0.793) Data 0.001 (0.010) Loss 1.9537 (1.7681) Prec@1 50.000 (53.155) Prec@5 77.500 (82.475) Epoch: [62][6590/11272] Time 0.720 (0.793) Data 0.002 (0.010) Loss 1.7479 (1.7682) Prec@1 54.375 (53.154) Prec@5 82.500 (82.474) Epoch: [62][6600/11272] Time 0.825 (0.793) Data 0.001 (0.010) Loss 1.5266 (1.7682) Prec@1 55.000 (53.153) Prec@5 87.500 (82.474) Epoch: [62][6610/11272] Time 0.830 (0.793) Data 0.001 (0.010) Loss 1.6801 (1.7682) Prec@1 56.250 (53.156) Prec@5 85.000 (82.475) Epoch: [62][6620/11272] Time 0.709 (0.793) Data 0.001 (0.010) Loss 1.7595 (1.7681) Prec@1 51.250 (53.158) Prec@5 83.125 (82.478) Epoch: [62][6630/11272] Time 0.714 (0.793) Data 0.001 (0.010) Loss 1.6535 (1.7680) Prec@1 53.750 (53.158) Prec@5 85.625 (82.480) Epoch: [62][6640/11272] Time 0.846 (0.793) Data 0.001 (0.010) Loss 1.9419 (1.7681) Prec@1 50.625 (53.157) Prec@5 81.875 (82.477) Epoch: [62][6650/11272] Time 0.829 (0.793) Data 0.001 (0.010) Loss 1.8098 (1.7681) Prec@1 50.000 (53.156) Prec@5 81.250 (82.477) Epoch: [62][6660/11272] Time 0.749 (0.793) Data 0.002 (0.010) Loss 1.7670 (1.7682) Prec@1 50.000 (53.155) Prec@5 82.500 (82.478) Epoch: [62][6670/11272] Time 0.712 (0.793) Data 0.001 (0.010) Loss 1.8725 (1.7682) Prec@1 51.250 (53.151) Prec@5 78.125 (82.478) Epoch: [62][6680/11272] Time 0.817 (0.793) Data 0.001 (0.010) Loss 1.7352 (1.7681) Prec@1 52.500 (53.151) Prec@5 80.000 (82.479) Epoch: [62][6690/11272] Time 0.867 (0.793) Data 0.002 (0.010) Loss 1.9950 (1.7682) Prec@1 46.875 (53.150) Prec@5 78.750 (82.477) Epoch: [62][6700/11272] Time 0.726 (0.793) Data 0.001 (0.010) Loss 1.8144 (1.7681) Prec@1 55.625 (53.155) Prec@5 82.500 (82.479) Epoch: [62][6710/11272] Time 0.832 (0.793) Data 0.001 (0.010) Loss 1.6049 (1.7681) Prec@1 56.250 (53.153) Prec@5 85.000 (82.482) Epoch: [62][6720/11272] Time 0.818 (0.793) Data 0.001 (0.010) Loss 1.8203 (1.7680) Prec@1 55.000 (53.154) Prec@5 81.250 (82.483) Epoch: [62][6730/11272] Time 0.700 (0.793) Data 0.001 (0.010) Loss 1.4804 (1.7680) Prec@1 58.750 (53.155) Prec@5 88.125 (82.484) Epoch: [62][6740/11272] Time 0.707 (0.793) Data 0.001 (0.010) Loss 1.7451 (1.7679) Prec@1 55.000 (53.155) Prec@5 84.375 (82.487) Epoch: [62][6750/11272] Time 0.824 (0.793) Data 0.001 (0.010) Loss 1.6620 (1.7680) Prec@1 54.375 (53.155) Prec@5 84.375 (82.487) Epoch: [62][6760/11272] Time 0.843 (0.793) Data 0.001 (0.010) Loss 1.7255 (1.7680) Prec@1 49.375 (53.154) Prec@5 83.125 (82.487) Epoch: [62][6770/11272] Time 0.696 (0.793) Data 0.001 (0.010) Loss 1.8318 (1.7680) Prec@1 53.125 (53.153) Prec@5 78.750 (82.486) Epoch: [62][6780/11272] Time 0.746 (0.793) Data 0.001 (0.010) Loss 1.8494 (1.7682) Prec@1 50.000 (53.150) Prec@5 80.000 (82.483) Epoch: [62][6790/11272] Time 0.845 (0.793) Data 0.002 (0.010) Loss 1.8530 (1.7682) Prec@1 51.250 (53.150) Prec@5 82.500 (82.481) Epoch: [62][6800/11272] Time 0.856 (0.793) Data 0.001 (0.010) Loss 1.8521 (1.7682) Prec@1 55.000 (53.151) Prec@5 82.500 (82.481) Epoch: [62][6810/11272] Time 0.725 (0.793) Data 0.001 (0.010) Loss 1.7259 (1.7681) Prec@1 53.750 (53.151) Prec@5 80.625 (82.483) Epoch: [62][6820/11272] Time 0.728 (0.793) Data 0.001 (0.010) Loss 1.7038 (1.7680) Prec@1 54.375 (53.153) Prec@5 82.500 (82.485) Epoch: [62][6830/11272] Time 0.832 (0.793) Data 0.001 (0.010) Loss 1.8332 (1.7681) Prec@1 55.625 (53.152) Prec@5 81.250 (82.484) Epoch: [62][6840/11272] Time 0.713 (0.793) Data 0.001 (0.010) Loss 1.5584 (1.7681) Prec@1 56.250 (53.150) Prec@5 89.375 (82.483) Epoch: [62][6850/11272] Time 0.730 (0.793) Data 0.002 (0.010) Loss 1.6713 (1.7680) Prec@1 57.500 (53.153) Prec@5 85.000 (82.485) Epoch: [62][6860/11272] Time 0.828 (0.793) Data 0.002 (0.010) Loss 1.7775 (1.7681) Prec@1 51.875 (53.152) Prec@5 81.875 (82.484) Epoch: [62][6870/11272] Time 0.850 (0.793) Data 0.001 (0.010) Loss 1.7860 (1.7681) Prec@1 54.375 (53.152) Prec@5 82.500 (82.483) Epoch: [62][6880/11272] Time 0.739 (0.793) Data 0.002 (0.010) Loss 1.8369 (1.7682) Prec@1 52.500 (53.152) Prec@5 83.125 (82.482) Epoch: [62][6890/11272] Time 0.707 (0.793) Data 0.002 (0.010) Loss 1.9492 (1.7681) Prec@1 50.000 (53.151) Prec@5 80.000 (82.483) Epoch: [62][6900/11272] Time 0.810 (0.793) Data 0.001 (0.010) Loss 1.5902 (1.7682) Prec@1 53.125 (53.150) Prec@5 83.125 (82.482) Epoch: [62][6910/11272] Time 0.826 (0.793) Data 0.001 (0.010) Loss 1.6020 (1.7682) Prec@1 55.625 (53.149) Prec@5 85.625 (82.482) Epoch: [62][6920/11272] Time 0.709 (0.792) Data 0.001 (0.010) Loss 1.7026 (1.7683) Prec@1 54.375 (53.148) Prec@5 84.375 (82.482) Epoch: [62][6930/11272] Time 0.711 (0.792) Data 0.001 (0.010) Loss 1.8862 (1.7682) Prec@1 55.625 (53.151) Prec@5 80.000 (82.482) Epoch: [62][6940/11272] Time 0.832 (0.792) Data 0.001 (0.010) Loss 1.7537 (1.7681) Prec@1 55.000 (53.152) Prec@5 80.625 (82.483) Epoch: [62][6950/11272] Time 0.812 (0.792) Data 0.001 (0.010) Loss 1.7537 (1.7682) Prec@1 51.250 (53.150) Prec@5 82.500 (82.481) Epoch: [62][6960/11272] Time 0.713 (0.792) Data 0.001 (0.010) Loss 1.6460 (1.7681) Prec@1 52.500 (53.150) Prec@5 86.875 (82.482) Epoch: [62][6970/11272] Time 0.845 (0.792) Data 0.001 (0.010) Loss 1.7586 (1.7682) Prec@1 57.500 (53.152) Prec@5 85.625 (82.481) Epoch: [62][6980/11272] Time 0.796 (0.792) Data 0.001 (0.010) Loss 1.6488 (1.7682) Prec@1 53.125 (53.151) Prec@5 84.375 (82.482) Epoch: [62][6990/11272] Time 0.710 (0.792) Data 0.001 (0.010) Loss 1.9535 (1.7683) Prec@1 47.500 (53.151) Prec@5 77.500 (82.481) Epoch: [62][7000/11272] Time 0.705 (0.792) Data 0.002 (0.010) Loss 1.9641 (1.7683) Prec@1 53.750 (53.150) Prec@5 81.875 (82.481) Epoch: [62][7010/11272] Time 0.813 (0.792) Data 0.001 (0.010) Loss 1.8833 (1.7683) Prec@1 47.500 (53.150) Prec@5 79.375 (82.479) Epoch: [62][7020/11272] Time 0.894 (0.792) Data 0.002 (0.010) Loss 1.7124 (1.7683) Prec@1 58.750 (53.151) Prec@5 81.250 (82.477) Epoch: [62][7030/11272] Time 0.721 (0.792) Data 0.002 (0.010) Loss 1.6047 (1.7683) Prec@1 56.250 (53.151) Prec@5 83.750 (82.476) Epoch: [62][7040/11272] Time 0.735 (0.792) Data 0.002 (0.010) Loss 1.4945 (1.7683) Prec@1 59.375 (53.153) Prec@5 84.375 (82.477) Epoch: [62][7050/11272] Time 0.877 (0.792) Data 0.002 (0.010) Loss 1.7759 (1.7683) Prec@1 50.000 (53.153) Prec@5 82.500 (82.477) Epoch: [62][7060/11272] Time 0.817 (0.792) Data 0.001 (0.010) Loss 2.0056 (1.7683) Prec@1 48.125 (53.154) Prec@5 78.750 (82.478) Epoch: [62][7070/11272] Time 0.710 (0.792) Data 0.002 (0.010) Loss 1.7699 (1.7682) Prec@1 55.000 (53.154) Prec@5 78.125 (82.478) Epoch: [62][7080/11272] Time 0.704 (0.792) Data 0.001 (0.010) Loss 1.8711 (1.7682) Prec@1 50.000 (53.154) Prec@5 78.125 (82.478) Epoch: [62][7090/11272] Time 0.825 (0.792) Data 0.002 (0.010) Loss 1.7905 (1.7682) Prec@1 50.000 (53.153) Prec@5 81.250 (82.479) Epoch: [62][7100/11272] Time 0.710 (0.792) Data 0.003 (0.009) Loss 1.6448 (1.7682) Prec@1 59.375 (53.152) Prec@5 83.750 (82.478) Epoch: [62][7110/11272] Time 0.704 (0.792) Data 0.001 (0.009) Loss 1.9210 (1.7683) Prec@1 49.375 (53.153) Prec@5 81.250 (82.478) Epoch: [62][7120/11272] Time 0.846 (0.792) Data 0.001 (0.009) Loss 1.9119 (1.7683) Prec@1 43.750 (53.153) Prec@5 83.125 (82.479) Epoch: [62][7130/11272] Time 0.834 (0.792) Data 0.001 (0.009) Loss 1.7439 (1.7682) Prec@1 56.875 (53.157) Prec@5 86.250 (82.481) Epoch: [62][7140/11272] Time 0.707 (0.792) Data 0.001 (0.009) Loss 2.1392 (1.7682) Prec@1 46.250 (53.154) Prec@5 75.625 (82.479) Epoch: [62][7150/11272] Time 0.713 (0.792) Data 0.002 (0.009) Loss 1.8313 (1.7682) Prec@1 51.875 (53.154) Prec@5 85.000 (82.481) Epoch: [62][7160/11272] Time 0.832 (0.792) Data 0.001 (0.009) Loss 1.6391 (1.7682) Prec@1 56.250 (53.157) Prec@5 84.375 (82.484) Epoch: [62][7170/11272] Time 0.836 (0.792) Data 0.001 (0.009) Loss 1.9242 (1.7681) Prec@1 54.375 (53.157) Prec@5 80.000 (82.485) Epoch: [62][7180/11272] Time 0.755 (0.792) Data 0.002 (0.009) Loss 2.0384 (1.7682) Prec@1 48.750 (53.156) Prec@5 78.125 (82.485) Epoch: [62][7190/11272] Time 0.713 (0.792) Data 0.001 (0.009) Loss 1.9436 (1.7682) Prec@1 46.875 (53.154) Prec@5 81.875 (82.486) Epoch: [62][7200/11272] Time 0.818 (0.792) Data 0.001 (0.009) Loss 1.8335 (1.7683) Prec@1 50.000 (53.150) Prec@5 79.375 (82.486) Epoch: [62][7210/11272] Time 0.834 (0.792) Data 0.002 (0.009) Loss 1.7642 (1.7683) Prec@1 48.750 (53.149) Prec@5 82.500 (82.484) Epoch: [62][7220/11272] Time 0.719 (0.792) Data 0.002 (0.009) Loss 1.5983 (1.7682) Prec@1 56.250 (53.150) Prec@5 85.000 (82.487) Epoch: [62][7230/11272] Time 0.781 (0.792) Data 0.001 (0.009) Loss 1.6765 (1.7682) Prec@1 58.125 (53.151) Prec@5 78.750 (82.487) Epoch: [62][7240/11272] Time 0.814 (0.792) Data 0.001 (0.009) Loss 1.9579 (1.7682) Prec@1 50.000 (53.151) Prec@5 82.500 (82.488) Epoch: [62][7250/11272] Time 0.706 (0.792) Data 0.001 (0.009) Loss 1.8527 (1.7683) Prec@1 51.875 (53.149) Prec@5 81.250 (82.487) Epoch: [62][7260/11272] Time 0.745 (0.792) Data 0.001 (0.009) Loss 2.0333 (1.7683) Prec@1 47.500 (53.148) Prec@5 76.875 (82.486) Epoch: [62][7270/11272] Time 0.812 (0.792) Data 0.001 (0.009) Loss 1.8387 (1.7683) Prec@1 52.500 (53.148) Prec@5 80.000 (82.486) Epoch: [62][7280/11272] Time 0.808 (0.792) Data 0.001 (0.009) Loss 1.7415 (1.7684) Prec@1 50.000 (53.143) Prec@5 80.625 (82.484) Epoch: [62][7290/11272] Time 0.688 (0.792) Data 0.001 (0.009) Loss 1.8621 (1.7684) Prec@1 48.750 (53.142) Prec@5 79.375 (82.485) Epoch: [62][7300/11272] Time 0.716 (0.792) Data 0.001 (0.009) Loss 1.8553 (1.7685) Prec@1 53.750 (53.140) Prec@5 81.875 (82.483) Epoch: [62][7310/11272] Time 0.802 (0.792) Data 0.001 (0.009) Loss 1.9099 (1.7686) Prec@1 47.500 (53.139) Prec@5 79.375 (82.483) Epoch: [62][7320/11272] Time 0.818 (0.791) Data 0.001 (0.009) Loss 1.7271 (1.7685) Prec@1 56.875 (53.141) Prec@5 83.750 (82.485) Epoch: [62][7330/11272] Time 0.720 (0.791) Data 0.001 (0.009) Loss 1.6516 (1.7685) Prec@1 56.875 (53.143) Prec@5 84.375 (82.487) Epoch: [62][7340/11272] Time 0.723 (0.791) Data 0.002 (0.009) Loss 1.7926 (1.7685) Prec@1 50.000 (53.142) Prec@5 82.500 (82.486) Epoch: [62][7350/11272] Time 0.833 (0.791) Data 0.001 (0.009) Loss 1.7683 (1.7685) Prec@1 52.500 (53.141) Prec@5 86.250 (82.486) Epoch: [62][7360/11272] Time 0.706 (0.791) Data 0.003 (0.009) Loss 1.8879 (1.7686) Prec@1 50.000 (53.139) Prec@5 80.000 (82.485) Epoch: [62][7370/11272] Time 0.714 (0.791) Data 0.002 (0.009) Loss 1.6587 (1.7685) Prec@1 51.250 (53.139) Prec@5 83.750 (82.485) Epoch: [62][7380/11272] Time 0.841 (0.791) Data 0.001 (0.009) Loss 1.8743 (1.7686) Prec@1 47.500 (53.136) Prec@5 81.875 (82.484) Epoch: [62][7390/11272] Time 0.806 (0.791) Data 0.001 (0.009) Loss 1.9625 (1.7686) Prec@1 49.375 (53.137) Prec@5 77.500 (82.484) Epoch: [62][7400/11272] Time 0.726 (0.791) Data 0.001 (0.009) Loss 1.5501 (1.7685) Prec@1 61.875 (53.137) Prec@5 86.250 (82.486) Epoch: [62][7410/11272] Time 0.721 (0.791) Data 0.001 (0.009) Loss 1.7503 (1.7685) Prec@1 55.000 (53.137) Prec@5 84.375 (82.486) Epoch: [62][7420/11272] Time 0.825 (0.791) Data 0.001 (0.009) Loss 1.9028 (1.7685) Prec@1 53.750 (53.137) Prec@5 79.375 (82.486) Epoch: [62][7430/11272] Time 0.828 (0.791) Data 0.001 (0.009) Loss 1.4791 (1.7685) Prec@1 65.000 (53.137) Prec@5 91.250 (82.485) Epoch: [62][7440/11272] Time 0.704 (0.791) Data 0.001 (0.009) Loss 2.0811 (1.7686) Prec@1 47.500 (53.137) Prec@5 75.625 (82.484) Epoch: [62][7450/11272] Time 0.707 (0.791) Data 0.002 (0.009) Loss 2.1500 (1.7687) Prec@1 52.500 (53.135) Prec@5 72.500 (82.482) Epoch: [62][7460/11272] Time 0.857 (0.791) Data 0.001 (0.009) Loss 1.6963 (1.7687) Prec@1 56.875 (53.135) Prec@5 81.250 (82.480) Epoch: [62][7470/11272] Time 0.799 (0.791) Data 0.001 (0.009) Loss 1.9271 (1.7686) Prec@1 51.250 (53.138) Prec@5 80.000 (82.482) Epoch: [62][7480/11272] Time 0.719 (0.791) Data 0.001 (0.009) Loss 1.5790 (1.7686) Prec@1 59.375 (53.140) Prec@5 83.125 (82.483) Epoch: [62][7490/11272] Time 0.809 (0.791) Data 0.001 (0.009) Loss 1.7343 (1.7686) Prec@1 56.875 (53.138) Prec@5 80.000 (82.483) Epoch: [62][7500/11272] Time 0.817 (0.791) Data 0.002 (0.009) Loss 1.5207 (1.7686) Prec@1 59.375 (53.139) Prec@5 82.500 (82.482) Epoch: [62][7510/11272] Time 0.711 (0.791) Data 0.002 (0.009) Loss 1.9955 (1.7686) Prec@1 47.500 (53.137) Prec@5 78.750 (82.482) Epoch: [62][7520/11272] Time 0.737 (0.791) Data 0.001 (0.009) Loss 1.7547 (1.7686) Prec@1 49.375 (53.136) Prec@5 84.375 (82.481) Epoch: [62][7530/11272] Time 0.834 (0.791) Data 0.001 (0.009) Loss 1.8901 (1.7687) Prec@1 51.250 (53.136) Prec@5 83.125 (82.481) Epoch: [62][7540/11272] Time 0.835 (0.791) Data 0.001 (0.009) Loss 1.8305 (1.7687) Prec@1 50.000 (53.136) Prec@5 79.375 (82.481) Epoch: [62][7550/11272] Time 0.687 (0.791) Data 0.001 (0.009) Loss 1.6760 (1.7687) Prec@1 50.625 (53.133) Prec@5 86.875 (82.482) Epoch: [62][7560/11272] Time 0.734 (0.791) Data 0.002 (0.009) Loss 1.7868 (1.7687) Prec@1 52.500 (53.135) Prec@5 81.875 (82.481) Epoch: [62][7570/11272] Time 0.844 (0.791) Data 0.001 (0.009) Loss 1.6668 (1.7687) Prec@1 56.875 (53.136) Prec@5 80.625 (82.479) Epoch: [62][7580/11272] Time 0.783 (0.791) Data 0.001 (0.009) Loss 1.6647 (1.7686) Prec@1 53.750 (53.137) Prec@5 82.500 (82.481) Epoch: [62][7590/11272] Time 0.715 (0.791) Data 0.002 (0.009) Loss 1.9464 (1.7686) Prec@1 49.375 (53.136) Prec@5 81.875 (82.481) Epoch: [62][7600/11272] Time 0.708 (0.791) Data 0.002 (0.009) Loss 1.7827 (1.7687) Prec@1 51.875 (53.136) Prec@5 84.375 (82.481) Epoch: [62][7610/11272] Time 0.810 (0.791) Data 0.001 (0.009) Loss 1.7109 (1.7686) Prec@1 55.000 (53.137) Prec@5 83.125 (82.482) Epoch: [62][7620/11272] Time 0.872 (0.791) Data 0.001 (0.009) Loss 1.7081 (1.7687) Prec@1 51.250 (53.135) Prec@5 85.000 (82.482) Epoch: [62][7630/11272] Time 0.702 (0.791) Data 0.001 (0.009) Loss 1.7380 (1.7687) Prec@1 47.500 (53.133) Prec@5 83.750 (82.481) Epoch: [62][7640/11272] Time 0.835 (0.791) Data 0.001 (0.009) Loss 1.6864 (1.7687) Prec@1 58.750 (53.132) Prec@5 85.625 (82.481) Epoch: [62][7650/11272] Time 0.825 (0.791) Data 0.001 (0.009) Loss 1.8394 (1.7687) Prec@1 54.375 (53.133) Prec@5 79.375 (82.482) Epoch: [62][7660/11272] Time 0.718 (0.791) Data 0.001 (0.009) Loss 1.7430 (1.7687) Prec@1 57.500 (53.134) Prec@5 81.875 (82.481) Epoch: [62][7670/11272] Time 0.713 (0.791) Data 0.002 (0.009) Loss 1.6842 (1.7687) Prec@1 53.750 (53.132) Prec@5 82.500 (82.480) Epoch: [62][7680/11272] Time 0.802 (0.791) Data 0.002 (0.009) Loss 1.7885 (1.7687) Prec@1 50.625 (53.133) Prec@5 81.250 (82.483) Epoch: [62][7690/11272] Time 0.821 (0.791) Data 0.001 (0.009) Loss 1.8260 (1.7686) Prec@1 51.250 (53.132) Prec@5 84.375 (82.484) Epoch: [62][7700/11272] Time 0.725 (0.791) Data 0.001 (0.009) Loss 1.7387 (1.7687) Prec@1 50.000 (53.132) Prec@5 85.000 (82.483) Epoch: [62][7710/11272] Time 0.718 (0.791) Data 0.001 (0.009) Loss 1.7220 (1.7687) Prec@1 51.250 (53.130) Prec@5 81.875 (82.482) Epoch: [62][7720/11272] Time 0.831 (0.791) Data 0.001 (0.009) Loss 1.6210 (1.7688) Prec@1 51.875 (53.129) Prec@5 87.500 (82.481) Epoch: [62][7730/11272] Time 0.825 (0.791) Data 0.001 (0.009) Loss 2.0951 (1.7688) Prec@1 42.500 (53.127) Prec@5 79.375 (82.482) Epoch: [62][7740/11272] Time 0.758 (0.791) Data 0.003 (0.009) Loss 1.8385 (1.7688) Prec@1 48.125 (53.126) Prec@5 79.375 (82.481) Epoch: [62][7750/11272] Time 0.781 (0.791) Data 0.002 (0.009) Loss 1.7108 (1.7687) Prec@1 55.000 (53.128) Prec@5 80.625 (82.484) Epoch: [62][7760/11272] Time 0.904 (0.791) Data 0.001 (0.009) Loss 1.7734 (1.7686) Prec@1 53.125 (53.129) Prec@5 83.125 (82.486) Epoch: [62][7770/11272] Time 0.732 (0.791) Data 0.002 (0.009) Loss 1.6606 (1.7685) Prec@1 52.500 (53.132) Prec@5 87.500 (82.488) Epoch: [62][7780/11272] Time 0.761 (0.791) Data 0.002 (0.009) Loss 2.0014 (1.7685) Prec@1 45.625 (53.132) Prec@5 78.125 (82.487) Epoch: [62][7790/11272] Time 0.838 (0.791) Data 0.002 (0.009) Loss 2.1036 (1.7685) Prec@1 47.500 (53.132) Prec@5 79.375 (82.488) Epoch: [62][7800/11272] Time 0.867 (0.791) Data 0.002 (0.009) Loss 1.6050 (1.7685) Prec@1 60.625 (53.132) Prec@5 85.625 (82.486) Epoch: [62][7810/11272] Time 0.725 (0.791) Data 0.002 (0.009) Loss 1.6612 (1.7685) Prec@1 60.625 (53.133) Prec@5 83.750 (82.488) Epoch: [62][7820/11272] Time 0.727 (0.791) Data 0.001 (0.009) Loss 1.6861 (1.7684) Prec@1 53.125 (53.134) Prec@5 83.750 (82.487) Epoch: [62][7830/11272] Time 0.838 (0.791) Data 0.001 (0.009) Loss 1.8137 (1.7685) Prec@1 56.250 (53.133) Prec@5 80.000 (82.485) Epoch: [62][7840/11272] Time 0.896 (0.791) Data 0.001 (0.009) Loss 2.0073 (1.7685) Prec@1 51.250 (53.132) Prec@5 81.250 (82.486) Epoch: [62][7850/11272] Time 0.755 (0.791) Data 0.002 (0.009) Loss 1.7890 (1.7686) Prec@1 47.500 (53.129) Prec@5 85.000 (82.486) Epoch: [62][7860/11272] Time 0.717 (0.791) Data 0.004 (0.009) Loss 1.9011 (1.7685) Prec@1 52.500 (53.131) Prec@5 81.875 (82.487) Epoch: [62][7870/11272] Time 0.874 (0.791) Data 0.002 (0.009) Loss 1.9910 (1.7685) Prec@1 47.500 (53.133) Prec@5 78.125 (82.488) Epoch: [62][7880/11272] Time 0.805 (0.791) Data 0.001 (0.009) Loss 1.6291 (1.7685) Prec@1 55.625 (53.132) Prec@5 85.000 (82.487) Epoch: [62][7890/11272] Time 0.715 (0.791) Data 0.002 (0.009) Loss 1.9091 (1.7685) Prec@1 47.500 (53.132) Prec@5 78.125 (82.486) Epoch: [62][7900/11272] Time 0.784 (0.791) Data 0.002 (0.009) Loss 1.5355 (1.7684) Prec@1 57.500 (53.134) Prec@5 87.500 (82.486) Epoch: [62][7910/11272] Time 0.785 (0.791) Data 0.001 (0.009) Loss 1.8956 (1.7685) Prec@1 55.000 (53.132) Prec@5 83.750 (82.483) Epoch: [62][7920/11272] Time 0.765 (0.791) Data 0.001 (0.009) Loss 1.7229 (1.7686) Prec@1 53.125 (53.129) Prec@5 81.250 (82.481) Epoch: [62][7930/11272] Time 0.718 (0.791) Data 0.001 (0.009) Loss 1.6363 (1.7685) Prec@1 53.125 (53.130) Prec@5 87.500 (82.483) Epoch: [62][7940/11272] Time 0.802 (0.791) Data 0.001 (0.009) Loss 1.7382 (1.7685) Prec@1 56.250 (53.132) Prec@5 83.125 (82.484) Epoch: [62][7950/11272] Time 0.818 (0.791) Data 0.001 (0.009) Loss 1.7721 (1.7685) Prec@1 54.375 (53.132) Prec@5 84.375 (82.485) Epoch: [62][7960/11272] Time 0.714 (0.791) Data 0.001 (0.009) Loss 1.7280 (1.7684) Prec@1 54.375 (53.133) Prec@5 81.875 (82.485) Epoch: [62][7970/11272] Time 0.685 (0.790) Data 0.001 (0.009) Loss 1.6767 (1.7684) Prec@1 57.500 (53.131) Prec@5 81.250 (82.484) Epoch: [62][7980/11272] Time 0.834 (0.790) Data 0.001 (0.009) Loss 2.0302 (1.7684) Prec@1 48.750 (53.131) Prec@5 78.125 (82.484) Epoch: [62][7990/11272] Time 0.814 (0.790) Data 0.001 (0.009) Loss 1.5762 (1.7684) Prec@1 56.875 (53.132) Prec@5 85.625 (82.484) Epoch: [62][8000/11272] Time 0.710 (0.790) Data 0.002 (0.009) Loss 1.9285 (1.7683) Prec@1 48.125 (53.131) Prec@5 80.625 (82.484) Epoch: [62][8010/11272] Time 0.737 (0.790) Data 0.001 (0.009) Loss 1.7445 (1.7683) Prec@1 57.500 (53.130) Prec@5 81.875 (82.486) Epoch: [62][8020/11272] Time 0.811 (0.790) Data 0.001 (0.009) Loss 1.8729 (1.7683) Prec@1 52.500 (53.129) Prec@5 81.250 (82.487) Epoch: [62][8030/11272] Time 0.715 (0.790) Data 0.003 (0.009) Loss 1.5652 (1.7683) Prec@1 57.500 (53.130) Prec@5 86.875 (82.486) Epoch: [62][8040/11272] Time 0.746 (0.790) Data 0.002 (0.009) Loss 1.8348 (1.7683) Prec@1 53.750 (53.131) Prec@5 80.625 (82.484) Epoch: [62][8050/11272] Time 0.816 (0.790) Data 0.001 (0.009) Loss 1.6704 (1.7684) Prec@1 55.625 (53.129) Prec@5 83.125 (82.484) Epoch: [62][8060/11272] Time 0.833 (0.790) Data 0.001 (0.009) Loss 1.6622 (1.7684) Prec@1 58.125 (53.130) Prec@5 81.875 (82.483) Epoch: [62][8070/11272] Time 0.738 (0.790) Data 0.002 (0.009) Loss 1.8067 (1.7684) Prec@1 55.625 (53.132) Prec@5 78.750 (82.483) Epoch: [62][8080/11272] Time 0.705 (0.790) Data 0.002 (0.009) Loss 1.8943 (1.7685) Prec@1 51.875 (53.130) Prec@5 80.000 (82.482) Epoch: [62][8090/11272] Time 0.832 (0.790) Data 0.001 (0.009) Loss 1.9903 (1.7684) Prec@1 45.000 (53.131) Prec@5 82.500 (82.482) Epoch: [62][8100/11272] Time 0.814 (0.790) Data 0.001 (0.009) Loss 1.9038 (1.7684) Prec@1 53.125 (53.132) Prec@5 78.750 (82.482) Epoch: [62][8110/11272] Time 0.699 (0.790) Data 0.001 (0.008) Loss 2.0470 (1.7685) Prec@1 48.750 (53.131) Prec@5 76.875 (82.479) Epoch: [62][8120/11272] Time 0.718 (0.790) Data 0.001 (0.008) Loss 1.8844 (1.7684) Prec@1 49.375 (53.130) Prec@5 77.500 (82.480) Epoch: [62][8130/11272] Time 0.840 (0.790) Data 0.002 (0.008) Loss 1.6123 (1.7684) Prec@1 55.625 (53.129) Prec@5 84.375 (82.481) Epoch: [62][8140/11272] Time 0.824 (0.790) Data 0.001 (0.008) Loss 1.8945 (1.7685) Prec@1 49.375 (53.129) Prec@5 80.000 (82.479) Epoch: [62][8150/11272] Time 0.709 (0.790) Data 0.001 (0.008) Loss 1.7571 (1.7685) Prec@1 51.250 (53.128) Prec@5 85.625 (82.479) Epoch: [62][8160/11272] Time 0.873 (0.790) Data 0.001 (0.008) Loss 1.6464 (1.7684) Prec@1 53.750 (53.129) Prec@5 85.000 (82.480) Epoch: [62][8170/11272] Time 0.847 (0.790) Data 0.001 (0.008) Loss 1.6216 (1.7684) Prec@1 53.750 (53.130) Prec@5 90.000 (82.483) Epoch: [62][8180/11272] Time 0.703 (0.790) Data 0.001 (0.008) Loss 1.6149 (1.7684) Prec@1 55.000 (53.131) Prec@5 85.625 (82.483) Epoch: [62][8190/11272] Time 0.743 (0.790) Data 0.002 (0.008) Loss 1.9190 (1.7684) Prec@1 48.125 (53.130) Prec@5 82.500 (82.483) Epoch: [62][8200/11272] Time 0.834 (0.790) Data 0.001 (0.008) Loss 1.7132 (1.7683) Prec@1 56.250 (53.133) Prec@5 82.500 (82.484) Epoch: [62][8210/11272] Time 0.847 (0.790) Data 0.001 (0.008) Loss 1.4735 (1.7682) Prec@1 59.375 (53.132) Prec@5 88.750 (82.485) Epoch: [62][8220/11272] Time 0.693 (0.790) Data 0.001 (0.008) Loss 1.8469 (1.7681) Prec@1 48.750 (53.135) Prec@5 80.625 (82.486) Epoch: [62][8230/11272] Time 0.720 (0.790) Data 0.001 (0.008) Loss 1.6490 (1.7681) Prec@1 56.875 (53.135) Prec@5 85.000 (82.486) Epoch: [62][8240/11272] Time 0.879 (0.790) Data 0.001 (0.008) Loss 1.7700 (1.7683) Prec@1 53.125 (53.131) Prec@5 79.375 (82.483) Epoch: [62][8250/11272] Time 0.826 (0.790) Data 0.001 (0.008) Loss 2.0007 (1.7683) Prec@1 50.625 (53.130) Prec@5 81.250 (82.483) Epoch: [62][8260/11272] Time 0.702 (0.790) Data 0.001 (0.008) Loss 1.6341 (1.7683) Prec@1 55.000 (53.132) Prec@5 83.125 (82.484) Epoch: [62][8270/11272] Time 0.706 (0.790) Data 0.001 (0.008) Loss 1.5347 (1.7682) Prec@1 55.000 (53.133) Prec@5 86.875 (82.486) Epoch: [62][8280/11272] Time 0.814 (0.790) Data 0.001 (0.008) Loss 1.7606 (1.7682) Prec@1 51.875 (53.132) Prec@5 83.750 (82.484) Epoch: [62][8290/11272] Time 0.703 (0.790) Data 0.003 (0.008) Loss 1.6302 (1.7681) Prec@1 60.625 (53.134) Prec@5 79.375 (82.484) Epoch: [62][8300/11272] Time 0.689 (0.790) Data 0.001 (0.008) Loss 1.8524 (1.7681) Prec@1 53.125 (53.137) Prec@5 80.000 (82.486) Epoch: [62][8310/11272] Time 0.820 (0.790) Data 0.001 (0.008) Loss 2.0605 (1.7681) Prec@1 42.500 (53.134) Prec@5 74.375 (82.484) Epoch: [62][8320/11272] Time 0.814 (0.790) Data 0.001 (0.008) Loss 1.7094 (1.7681) Prec@1 50.000 (53.133) Prec@5 83.750 (82.483) Epoch: [62][8330/11272] Time 0.712 (0.790) Data 0.001 (0.008) Loss 1.5877 (1.7681) Prec@1 54.375 (53.131) Prec@5 84.375 (82.482) Epoch: [62][8340/11272] Time 0.730 (0.790) Data 0.001 (0.008) Loss 1.6896 (1.7681) Prec@1 50.625 (53.131) Prec@5 83.750 (82.484) Epoch: [62][8350/11272] Time 0.828 (0.790) Data 0.001 (0.008) Loss 1.6711 (1.7680) Prec@1 53.750 (53.132) Prec@5 81.250 (82.485) Epoch: [62][8360/11272] Time 0.832 (0.790) Data 0.001 (0.008) Loss 1.8459 (1.7681) Prec@1 55.625 (53.133) Prec@5 80.625 (82.482) Epoch: [62][8370/11272] Time 0.727 (0.790) Data 0.001 (0.008) Loss 1.5500 (1.7682) Prec@1 59.375 (53.131) Prec@5 85.625 (82.481) Epoch: [62][8380/11272] Time 0.697 (0.790) Data 0.001 (0.008) Loss 2.1138 (1.7682) Prec@1 43.125 (53.129) Prec@5 79.375 (82.481) Epoch: [62][8390/11272] Time 0.809 (0.790) Data 0.001 (0.008) Loss 1.8488 (1.7681) Prec@1 51.250 (53.132) Prec@5 80.000 (82.482) Epoch: [62][8400/11272] Time 0.815 (0.790) Data 0.001 (0.008) Loss 1.9911 (1.7682) Prec@1 50.625 (53.133) Prec@5 76.875 (82.481) Epoch: [62][8410/11272] Time 0.741 (0.790) Data 0.001 (0.008) Loss 1.7950 (1.7682) Prec@1 51.250 (53.131) Prec@5 82.500 (82.480) Epoch: [62][8420/11272] Time 0.811 (0.790) Data 0.001 (0.008) Loss 1.7550 (1.7683) Prec@1 52.500 (53.130) Prec@5 81.250 (82.479) Epoch: [62][8430/11272] Time 0.832 (0.790) Data 0.001 (0.008) Loss 1.8278 (1.7683) Prec@1 53.750 (53.130) Prec@5 81.875 (82.480) Epoch: [62][8440/11272] Time 0.715 (0.790) Data 0.001 (0.008) Loss 1.9934 (1.7683) Prec@1 43.750 (53.128) Prec@5 83.125 (82.480) Epoch: [62][8450/11272] Time 0.729 (0.790) Data 0.002 (0.008) Loss 1.8418 (1.7684) Prec@1 51.250 (53.128) Prec@5 80.625 (82.478) Epoch: [62][8460/11272] Time 0.834 (0.790) Data 0.002 (0.008) Loss 1.9024 (1.7685) Prec@1 48.125 (53.128) Prec@5 80.625 (82.477) Epoch: [62][8470/11272] Time 0.820 (0.790) Data 0.001 (0.008) Loss 1.6414 (1.7683) Prec@1 57.500 (53.131) Prec@5 84.375 (82.480) Epoch: [62][8480/11272] Time 0.726 (0.790) Data 0.001 (0.008) Loss 1.5844 (1.7683) Prec@1 53.750 (53.133) Prec@5 88.125 (82.482) Epoch: [62][8490/11272] Time 0.719 (0.790) Data 0.002 (0.008) Loss 1.8309 (1.7682) Prec@1 50.000 (53.132) Prec@5 80.000 (82.482) Epoch: [62][8500/11272] Time 0.821 (0.790) Data 0.001 (0.008) Loss 1.8097 (1.7681) Prec@1 50.625 (53.134) Prec@5 80.000 (82.484) Epoch: [62][8510/11272] Time 0.854 (0.790) Data 0.002 (0.008) Loss 1.7986 (1.7681) Prec@1 52.500 (53.136) Prec@5 80.625 (82.484) Epoch: [62][8520/11272] Time 0.719 (0.790) Data 0.002 (0.008) Loss 1.8047 (1.7680) Prec@1 48.750 (53.135) Prec@5 85.625 (82.486) Epoch: [62][8530/11272] Time 0.748 (0.790) Data 0.001 (0.008) Loss 2.0893 (1.7680) Prec@1 48.750 (53.134) Prec@5 78.750 (82.487) Epoch: [62][8540/11272] Time 0.806 (0.790) Data 0.001 (0.008) Loss 1.8687 (1.7680) Prec@1 52.500 (53.135) Prec@5 79.375 (82.488) Epoch: [62][8550/11272] Time 0.814 (0.790) Data 0.001 (0.008) Loss 1.7247 (1.7679) Prec@1 55.000 (53.137) Prec@5 85.625 (82.490) Epoch: [62][8560/11272] Time 0.743 (0.790) Data 0.001 (0.008) Loss 1.7894 (1.7678) Prec@1 55.625 (53.138) Prec@5 80.625 (82.491) Epoch: [62][8570/11272] Time 0.910 (0.790) Data 0.006 (0.008) Loss 1.9166 (1.7679) Prec@1 51.250 (53.139) Prec@5 78.750 (82.490) Epoch: [62][8580/11272] Time 0.842 (0.790) Data 0.001 (0.008) Loss 1.4350 (1.7679) Prec@1 60.000 (53.139) Prec@5 93.125 (82.491) Epoch: [62][8590/11272] Time 0.717 (0.789) Data 0.001 (0.008) Loss 1.7797 (1.7679) Prec@1 52.500 (53.139) Prec@5 85.000 (82.491) Epoch: [62][8600/11272] Time 0.759 (0.789) Data 0.002 (0.008) Loss 1.8967 (1.7679) Prec@1 51.875 (53.138) Prec@5 78.125 (82.490) Epoch: [62][8610/11272] Time 0.858 (0.789) Data 0.001 (0.008) Loss 1.5701 (1.7679) Prec@1 55.625 (53.138) Prec@5 86.875 (82.490) Epoch: [62][8620/11272] Time 0.802 (0.789) Data 0.001 (0.008) Loss 1.8377 (1.7679) Prec@1 52.500 (53.140) Prec@5 80.000 (82.490) Epoch: [62][8630/11272] Time 0.704 (0.789) Data 0.001 (0.008) Loss 1.5872 (1.7679) Prec@1 59.375 (53.141) Prec@5 84.375 (82.491) Epoch: [62][8640/11272] Time 0.684 (0.789) Data 0.001 (0.008) Loss 1.8091 (1.7679) Prec@1 53.125 (53.142) Prec@5 82.500 (82.490) Epoch: [62][8650/11272] Time 0.845 (0.789) Data 0.001 (0.008) Loss 1.8007 (1.7679) Prec@1 51.875 (53.144) Prec@5 81.875 (82.488) Epoch: [62][8660/11272] Time 0.791 (0.789) Data 0.001 (0.008) Loss 1.7953 (1.7680) Prec@1 52.500 (53.142) Prec@5 79.375 (82.487) Epoch: [62][8670/11272] Time 0.713 (0.789) Data 0.001 (0.008) Loss 1.7943 (1.7680) Prec@1 51.250 (53.141) Prec@5 85.000 (82.487) Epoch: [62][8680/11272] Time 0.732 (0.789) Data 0.001 (0.008) Loss 1.7644 (1.7680) Prec@1 52.500 (53.140) Prec@5 81.250 (82.487) Epoch: [62][8690/11272] Time 0.843 (0.789) Data 0.001 (0.008) Loss 1.9551 (1.7680) Prec@1 50.000 (53.140) Prec@5 76.875 (82.487) Epoch: [62][8700/11272] Time 0.719 (0.789) Data 0.001 (0.008) Loss 1.8549 (1.7681) Prec@1 51.250 (53.137) Prec@5 78.125 (82.487) Epoch: [62][8710/11272] Time 0.724 (0.789) Data 0.001 (0.008) Loss 1.7275 (1.7681) Prec@1 55.625 (53.136) Prec@5 85.000 (82.487) Epoch: [62][8720/11272] Time 0.840 (0.789) Data 0.001 (0.008) Loss 1.9385 (1.7681) Prec@1 50.625 (53.136) Prec@5 79.375 (82.486) Epoch: [62][8730/11272] Time 0.817 (0.789) Data 0.002 (0.008) Loss 1.4450 (1.7680) Prec@1 60.625 (53.137) Prec@5 88.750 (82.487) Epoch: [62][8740/11272] Time 0.709 (0.789) Data 0.001 (0.008) Loss 1.8620 (1.7680) Prec@1 51.875 (53.137) Prec@5 81.250 (82.486) Epoch: [62][8750/11272] Time 0.711 (0.789) Data 0.001 (0.008) Loss 1.7857 (1.7681) Prec@1 55.000 (53.136) Prec@5 81.875 (82.486) Epoch: [62][8760/11272] Time 0.830 (0.789) Data 0.001 (0.008) Loss 1.9840 (1.7681) Prec@1 48.750 (53.136) Prec@5 79.375 (82.487) Epoch: [62][8770/11272] Time 0.888 (0.789) Data 0.002 (0.008) Loss 1.9243 (1.7681) Prec@1 50.625 (53.135) Prec@5 79.375 (82.487) Epoch: [62][8780/11272] Time 0.731 (0.789) Data 0.002 (0.008) Loss 1.7774 (1.7681) Prec@1 50.625 (53.134) Prec@5 86.250 (82.486) Epoch: [62][8790/11272] Time 0.753 (0.789) Data 0.002 (0.008) Loss 1.7542 (1.7681) Prec@1 55.625 (53.134) Prec@5 79.375 (82.485) Epoch: [62][8800/11272] Time 0.817 (0.789) Data 0.001 (0.008) Loss 2.0283 (1.7682) Prec@1 43.750 (53.132) Prec@5 78.750 (82.484) Epoch: [62][8810/11272] Time 0.795 (0.789) Data 0.001 (0.008) Loss 1.5872 (1.7682) Prec@1 56.250 (53.132) Prec@5 85.625 (82.484) Epoch: [62][8820/11272] Time 0.732 (0.789) Data 0.001 (0.008) Loss 1.8369 (1.7682) Prec@1 53.750 (53.133) Prec@5 80.000 (82.482) Epoch: [62][8830/11272] Time 0.848 (0.789) Data 0.002 (0.008) Loss 1.7742 (1.7682) Prec@1 52.500 (53.133) Prec@5 83.750 (82.482) Epoch: [62][8840/11272] Time 0.831 (0.789) Data 0.001 (0.008) Loss 1.5125 (1.7681) Prec@1 55.000 (53.135) Prec@5 87.500 (82.483) Epoch: [62][8850/11272] Time 0.701 (0.789) Data 0.001 (0.008) Loss 2.0214 (1.7681) Prec@1 51.250 (53.135) Prec@5 75.625 (82.482) Epoch: [62][8860/11272] Time 0.729 (0.789) Data 0.001 (0.008) Loss 1.9113 (1.7681) Prec@1 50.625 (53.134) Prec@5 80.625 (82.483) Epoch: [62][8870/11272] Time 0.838 (0.789) Data 0.001 (0.008) Loss 1.5980 (1.7682) Prec@1 58.750 (53.134) Prec@5 85.000 (82.482) Epoch: [62][8880/11272] Time 0.802 (0.789) Data 0.001 (0.008) Loss 1.8715 (1.7681) Prec@1 47.500 (53.134) Prec@5 76.875 (82.484) Epoch: [62][8890/11272] Time 0.698 (0.789) Data 0.001 (0.008) Loss 1.7333 (1.7682) Prec@1 55.000 (53.131) Prec@5 83.750 (82.484) Epoch: [62][8900/11272] Time 0.710 (0.789) Data 0.001 (0.008) Loss 1.5427 (1.7682) Prec@1 60.000 (53.132) Prec@5 88.125 (82.483) Epoch: [62][8910/11272] Time 0.819 (0.789) Data 0.001 (0.008) Loss 1.6991 (1.7683) Prec@1 53.750 (53.133) Prec@5 83.125 (82.483) Epoch: [62][8920/11272] Time 0.813 (0.789) Data 0.001 (0.008) Loss 1.6792 (1.7682) Prec@1 53.125 (53.133) Prec@5 85.000 (82.485) Epoch: [62][8930/11272] Time 0.701 (0.789) Data 0.002 (0.008) Loss 1.8686 (1.7682) Prec@1 50.625 (53.132) Prec@5 81.875 (82.487) Epoch: [62][8940/11272] Time 0.714 (0.789) Data 0.003 (0.008) Loss 1.7416 (1.7682) Prec@1 51.250 (53.130) Prec@5 85.625 (82.487) Epoch: [62][8950/11272] Time 0.830 (0.789) Data 0.001 (0.008) Loss 1.3348 (1.7681) Prec@1 60.625 (53.133) Prec@5 91.250 (82.488) Epoch: [62][8960/11272] Time 0.744 (0.789) Data 0.003 (0.008) Loss 1.5598 (1.7681) Prec@1 58.750 (53.134) Prec@5 84.375 (82.488) Epoch: [62][8970/11272] Time 0.746 (0.789) Data 0.001 (0.008) Loss 1.7617 (1.7681) Prec@1 56.875 (53.135) Prec@5 83.125 (82.489) Epoch: [62][8980/11272] Time 0.809 (0.789) Data 0.002 (0.008) Loss 1.8933 (1.7681) Prec@1 51.875 (53.135) Prec@5 83.125 (82.490) Epoch: [62][8990/11272] Time 0.836 (0.789) Data 0.001 (0.008) Loss 1.7336 (1.7681) Prec@1 56.250 (53.136) Prec@5 83.125 (82.491) Epoch: [62][9000/11272] Time 0.723 (0.789) Data 0.001 (0.008) Loss 1.6832 (1.7680) Prec@1 53.125 (53.136) Prec@5 88.750 (82.493) Epoch: [62][9010/11272] Time 0.729 (0.789) Data 0.001 (0.008) Loss 1.9506 (1.7682) Prec@1 48.750 (53.133) Prec@5 81.250 (82.491) Epoch: [62][9020/11272] Time 0.825 (0.789) Data 0.001 (0.008) Loss 1.7331 (1.7682) Prec@1 58.125 (53.134) Prec@5 81.250 (82.491) Epoch: [62][9030/11272] Time 0.837 (0.789) Data 0.001 (0.008) Loss 1.7982 (1.7682) Prec@1 56.875 (53.133) Prec@5 80.000 (82.490) Epoch: [62][9040/11272] Time 0.735 (0.789) Data 0.002 (0.008) Loss 1.8854 (1.7682) Prec@1 53.750 (53.133) Prec@5 78.125 (82.490) Epoch: [62][9050/11272] Time 0.709 (0.789) Data 0.001 (0.008) Loss 1.9185 (1.7681) Prec@1 45.625 (53.132) Prec@5 83.125 (82.490) Epoch: [62][9060/11272] Time 0.814 (0.789) Data 0.001 (0.008) Loss 1.5620 (1.7682) Prec@1 55.000 (53.131) Prec@5 86.875 (82.491) Epoch: [62][9070/11272] Time 0.808 (0.789) Data 0.001 (0.008) Loss 1.8920 (1.7682) Prec@1 50.625 (53.131) Prec@5 78.750 (82.491) Epoch: [62][9080/11272] Time 0.716 (0.789) Data 0.002 (0.008) Loss 1.8745 (1.7682) Prec@1 51.250 (53.131) Prec@5 80.000 (82.490) Epoch: [62][9090/11272] Time 0.847 (0.789) Data 0.001 (0.008) Loss 1.8795 (1.7682) Prec@1 46.875 (53.131) Prec@5 83.125 (82.489) Epoch: [62][9100/11272] Time 0.837 (0.789) Data 0.001 (0.008) Loss 1.8113 (1.7683) Prec@1 56.875 (53.130) Prec@5 81.250 (82.487) Epoch: [62][9110/11272] Time 0.726 (0.789) Data 0.001 (0.008) Loss 1.9341 (1.7682) Prec@1 48.125 (53.132) Prec@5 80.000 (82.488) Epoch: [62][9120/11272] Time 0.718 (0.789) Data 0.002 (0.008) Loss 1.5468 (1.7682) Prec@1 57.500 (53.132) Prec@5 87.500 (82.488) Epoch: [62][9130/11272] Time 0.822 (0.789) Data 0.001 (0.008) Loss 1.5904 (1.7682) Prec@1 59.375 (53.134) Prec@5 85.000 (82.489) Epoch: [62][9140/11272] Time 0.826 (0.789) Data 0.001 (0.008) Loss 1.7961 (1.7681) Prec@1 53.750 (53.135) Prec@5 82.500 (82.490) Epoch: [62][9150/11272] Time 0.755 (0.789) Data 0.001 (0.008) Loss 1.7757 (1.7680) Prec@1 48.750 (53.136) Prec@5 82.500 (82.491) Epoch: [62][9160/11272] Time 0.707 (0.789) Data 0.001 (0.008) Loss 1.8008 (1.7681) Prec@1 51.875 (53.136) Prec@5 85.000 (82.491) Epoch: [62][9170/11272] Time 0.849 (0.789) Data 0.001 (0.008) Loss 1.7690 (1.7680) Prec@1 52.500 (53.137) Prec@5 83.125 (82.492) Epoch: [62][9180/11272] Time 0.795 (0.789) Data 0.001 (0.008) Loss 1.6227 (1.7680) Prec@1 55.000 (53.137) Prec@5 88.750 (82.494) Epoch: [62][9190/11272] Time 0.717 (0.789) Data 0.001 (0.008) Loss 1.6628 (1.7679) Prec@1 57.500 (53.140) Prec@5 83.125 (82.494) Epoch: [62][9200/11272] Time 0.710 (0.789) Data 0.001 (0.008) Loss 2.0090 (1.7680) Prec@1 46.250 (53.139) Prec@5 79.375 (82.493) Epoch: [62][9210/11272] Time 0.821 (0.789) Data 0.001 (0.008) Loss 1.7241 (1.7680) Prec@1 56.250 (53.139) Prec@5 83.125 (82.493) Epoch: [62][9220/11272] Time 0.745 (0.789) Data 0.003 (0.008) Loss 1.5979 (1.7680) Prec@1 55.625 (53.139) Prec@5 84.375 (82.493) Epoch: [62][9230/11272] Time 0.709 (0.789) Data 0.001 (0.008) Loss 1.9740 (1.7681) Prec@1 48.750 (53.137) Prec@5 81.250 (82.493) Epoch: [62][9240/11272] Time 0.845 (0.789) Data 0.001 (0.008) Loss 1.6626 (1.7680) Prec@1 58.750 (53.139) Prec@5 83.750 (82.492) Epoch: [62][9250/11272] Time 0.806 (0.789) Data 0.001 (0.008) Loss 1.8760 (1.7681) Prec@1 50.625 (53.140) Prec@5 77.500 (82.491) Epoch: [62][9260/11272] Time 0.703 (0.789) Data 0.002 (0.008) Loss 1.7156 (1.7680) Prec@1 53.125 (53.141) Prec@5 84.375 (82.492) Epoch: [62][9270/11272] Time 0.719 (0.788) Data 0.002 (0.008) Loss 1.6930 (1.7680) Prec@1 53.125 (53.141) Prec@5 86.250 (82.494) Epoch: [62][9280/11272] Time 0.817 (0.789) Data 0.001 (0.008) Loss 1.7551 (1.7680) Prec@1 60.000 (53.142) Prec@5 83.125 (82.495) Epoch: [62][9290/11272] Time 0.836 (0.789) Data 0.002 (0.008) Loss 2.0033 (1.7681) Prec@1 45.000 (53.140) Prec@5 81.250 (82.493) Epoch: [62][9300/11272] Time 0.711 (0.788) Data 0.002 (0.008) Loss 1.8454 (1.7681) Prec@1 51.250 (53.140) Prec@5 81.250 (82.493) Epoch: [62][9310/11272] Time 0.715 (0.788) Data 0.002 (0.008) Loss 1.6377 (1.7681) Prec@1 59.375 (53.140) Prec@5 85.625 (82.493) Epoch: [62][9320/11272] Time 0.812 (0.788) Data 0.001 (0.008) Loss 1.5830 (1.7681) Prec@1 57.500 (53.139) Prec@5 86.875 (82.493) Epoch: [62][9330/11272] Time 0.812 (0.788) Data 0.001 (0.008) Loss 1.8124 (1.7681) Prec@1 51.875 (53.140) Prec@5 83.125 (82.494) Epoch: [62][9340/11272] Time 0.711 (0.788) Data 0.001 (0.008) Loss 1.5722 (1.7681) Prec@1 59.375 (53.140) Prec@5 86.875 (82.496) Epoch: [62][9350/11272] Time 0.850 (0.788) Data 0.002 (0.008) Loss 1.5614 (1.7680) Prec@1 59.375 (53.141) Prec@5 85.625 (82.497) Epoch: [62][9360/11272] Time 0.811 (0.788) Data 0.001 (0.008) Loss 1.6683 (1.7681) Prec@1 51.250 (53.140) Prec@5 81.875 (82.497) Epoch: [62][9370/11272] Time 0.728 (0.788) Data 0.001 (0.008) Loss 1.8355 (1.7680) Prec@1 49.375 (53.140) Prec@5 83.750 (82.497) Epoch: [62][9380/11272] Time 0.712 (0.788) Data 0.001 (0.008) Loss 1.5850 (1.7680) Prec@1 56.875 (53.143) Prec@5 85.625 (82.500) Epoch: [62][9390/11272] Time 0.868 (0.788) Data 0.001 (0.008) Loss 2.0036 (1.7680) Prec@1 44.375 (53.141) Prec@5 80.000 (82.498) Epoch: [62][9400/11272] Time 0.833 (0.788) Data 0.001 (0.008) Loss 1.9547 (1.7680) Prec@1 47.500 (53.141) Prec@5 81.875 (82.500) Epoch: [62][9410/11272] Time 0.707 (0.788) Data 0.001 (0.008) Loss 2.0906 (1.7680) Prec@1 46.875 (53.141) Prec@5 76.875 (82.499) Epoch: [62][9420/11272] Time 0.723 (0.788) Data 0.001 (0.008) Loss 1.8367 (1.7679) Prec@1 51.875 (53.142) Prec@5 82.500 (82.500) Epoch: [62][9430/11272] Time 0.822 (0.788) Data 0.001 (0.008) Loss 1.6027 (1.7679) Prec@1 56.875 (53.142) Prec@5 86.875 (82.501) Epoch: [62][9440/11272] Time 0.813 (0.788) Data 0.001 (0.008) Loss 1.4909 (1.7679) Prec@1 61.875 (53.143) Prec@5 87.500 (82.502) Epoch: [62][9450/11272] Time 0.706 (0.788) Data 0.001 (0.007) Loss 1.6560 (1.7679) Prec@1 56.875 (53.144) Prec@5 85.000 (82.502) Epoch: [62][9460/11272] Time 0.717 (0.788) Data 0.001 (0.007) Loss 1.9812 (1.7680) Prec@1 49.375 (53.143) Prec@5 80.625 (82.501) Epoch: [62][9470/11272] Time 0.861 (0.788) Data 0.001 (0.007) Loss 2.1378 (1.7680) Prec@1 45.000 (53.141) Prec@5 76.250 (82.500) Epoch: [62][9480/11272] Time 0.812 (0.788) Data 0.001 (0.007) Loss 1.7358 (1.7680) Prec@1 52.500 (53.142) Prec@5 80.625 (82.501) Epoch: [62][9490/11272] Time 0.716 (0.788) Data 0.002 (0.007) Loss 1.5616 (1.7679) Prec@1 58.125 (53.143) Prec@5 85.000 (82.502) Epoch: [62][9500/11272] Time 0.819 (0.788) Data 0.001 (0.007) Loss 1.7708 (1.7679) Prec@1 48.750 (53.142) Prec@5 84.375 (82.502) Epoch: [62][9510/11272] Time 0.852 (0.788) Data 0.002 (0.007) Loss 1.8627 (1.7679) Prec@1 50.625 (53.142) Prec@5 81.250 (82.500) Epoch: [62][9520/11272] Time 0.712 (0.788) Data 0.001 (0.007) Loss 1.7299 (1.7679) Prec@1 53.750 (53.143) Prec@5 81.875 (82.501) Epoch: [62][9530/11272] Time 0.713 (0.788) Data 0.002 (0.007) Loss 1.6091 (1.7680) Prec@1 54.375 (53.141) Prec@5 85.000 (82.501) Epoch: [62][9540/11272] Time 0.833 (0.788) Data 0.001 (0.007) Loss 1.7455 (1.7680) Prec@1 52.500 (53.140) Prec@5 81.875 (82.500) Epoch: [62][9550/11272] Time 0.840 (0.788) Data 0.001 (0.007) Loss 1.5801 (1.7680) Prec@1 61.875 (53.143) Prec@5 85.625 (82.498) Epoch: [62][9560/11272] Time 0.736 (0.788) Data 0.001 (0.007) Loss 1.7303 (1.7681) Prec@1 53.750 (53.142) Prec@5 83.750 (82.498) Epoch: [62][9570/11272] Time 0.708 (0.788) Data 0.001 (0.007) Loss 1.6987 (1.7680) Prec@1 60.000 (53.143) Prec@5 85.000 (82.498) Epoch: [62][9580/11272] Time 0.837 (0.788) Data 0.002 (0.007) Loss 1.6197 (1.7680) Prec@1 56.250 (53.143) Prec@5 85.625 (82.499) Epoch: [62][9590/11272] Time 0.861 (0.788) Data 0.002 (0.007) Loss 1.5915 (1.7679) Prec@1 58.750 (53.146) Prec@5 86.250 (82.499) Epoch: [62][9600/11272] Time 0.705 (0.788) Data 0.001 (0.007) Loss 1.7585 (1.7680) Prec@1 54.375 (53.147) Prec@5 82.500 (82.500) Epoch: [62][9610/11272] Time 0.714 (0.788) Data 0.001 (0.007) Loss 1.8087 (1.7680) Prec@1 51.875 (53.147) Prec@5 79.375 (82.498) Epoch: [62][9620/11272] Time 0.791 (0.788) Data 0.001 (0.007) Loss 1.8884 (1.7680) Prec@1 53.750 (53.149) Prec@5 78.750 (82.499) Epoch: [62][9630/11272] Time 0.699 (0.788) Data 0.001 (0.007) Loss 2.0596 (1.7680) Prec@1 50.625 (53.147) Prec@5 78.125 (82.498) Epoch: [62][9640/11272] Time 0.715 (0.788) Data 0.001 (0.007) Loss 1.7654 (1.7680) Prec@1 55.625 (53.149) Prec@5 80.625 (82.497) Epoch: [62][9650/11272] Time 0.868 (0.788) Data 0.001 (0.007) Loss 1.6315 (1.7680) Prec@1 55.000 (53.150) Prec@5 86.250 (82.499) Epoch: [62][9660/11272] Time 0.819 (0.788) Data 0.002 (0.007) Loss 1.7617 (1.7680) Prec@1 51.250 (53.148) Prec@5 85.000 (82.498) Epoch: [62][9670/11272] Time 0.736 (0.788) Data 0.001 (0.007) Loss 1.7692 (1.7681) Prec@1 55.000 (53.146) Prec@5 85.625 (82.499) Epoch: [62][9680/11272] Time 0.697 (0.788) Data 0.001 (0.007) Loss 1.8041 (1.7681) Prec@1 47.500 (53.144) Prec@5 80.625 (82.498) Epoch: [62][9690/11272] Time 0.836 (0.788) Data 0.002 (0.007) Loss 1.8323 (1.7680) Prec@1 53.125 (53.145) Prec@5 78.125 (82.498) Epoch: [62][9700/11272] Time 0.830 (0.788) Data 0.002 (0.007) Loss 1.9242 (1.7681) Prec@1 46.250 (53.143) Prec@5 81.250 (82.497) Epoch: [62][9710/11272] Time 0.723 (0.788) Data 0.001 (0.007) Loss 1.5866 (1.7680) Prec@1 55.625 (53.144) Prec@5 89.375 (82.497) Epoch: [62][9720/11272] Time 0.724 (0.788) Data 0.002 (0.007) Loss 1.7337 (1.7680) Prec@1 52.500 (53.144) Prec@5 80.625 (82.496) Epoch: [62][9730/11272] Time 0.860 (0.788) Data 0.001 (0.007) Loss 1.7964 (1.7679) Prec@1 50.625 (53.145) Prec@5 80.000 (82.496) Epoch: [62][9740/11272] Time 0.815 (0.788) Data 0.001 (0.007) Loss 1.7586 (1.7679) Prec@1 53.125 (53.144) Prec@5 80.625 (82.495) Epoch: [62][9750/11272] Time 0.719 (0.788) Data 0.001 (0.007) Loss 1.7556 (1.7680) Prec@1 50.625 (53.143) Prec@5 81.875 (82.496) Epoch: [62][9760/11272] Time 0.820 (0.788) Data 0.001 (0.007) Loss 1.7022 (1.7679) Prec@1 52.500 (53.144) Prec@5 85.000 (82.497) Epoch: [62][9770/11272] Time 0.829 (0.788) Data 0.001 (0.007) Loss 2.0025 (1.7679) Prec@1 50.000 (53.143) Prec@5 78.750 (82.498) Epoch: [62][9780/11272] Time 0.729 (0.788) Data 0.001 (0.007) Loss 1.8573 (1.7680) Prec@1 46.875 (53.142) Prec@5 83.125 (82.498) Epoch: [62][9790/11272] Time 0.724 (0.788) Data 0.002 (0.007) Loss 1.6738 (1.7679) Prec@1 52.500 (53.141) Prec@5 83.750 (82.499) Epoch: [62][9800/11272] Time 0.821 (0.788) Data 0.001 (0.007) Loss 1.5354 (1.7680) Prec@1 59.375 (53.141) Prec@5 85.000 (82.498) Epoch: [62][9810/11272] Time 0.835 (0.788) Data 0.001 (0.007) Loss 1.6674 (1.7680) Prec@1 54.375 (53.140) Prec@5 84.375 (82.496) Epoch: [62][9820/11272] Time 0.720 (0.788) Data 0.001 (0.007) Loss 1.8367 (1.7681) Prec@1 50.000 (53.137) Prec@5 84.375 (82.495) Epoch: [62][9830/11272] Time 0.706 (0.788) Data 0.001 (0.007) Loss 1.5508 (1.7681) Prec@1 56.250 (53.137) Prec@5 88.750 (82.497) Epoch: [62][9840/11272] Time 0.837 (0.788) Data 0.001 (0.007) Loss 1.5873 (1.7680) Prec@1 60.000 (53.138) Prec@5 79.375 (82.497) Epoch: [62][9850/11272] Time 0.804 (0.788) Data 0.001 (0.007) Loss 1.7121 (1.7681) Prec@1 51.250 (53.136) Prec@5 83.750 (82.496) Epoch: [62][9860/11272] Time 0.716 (0.788) Data 0.001 (0.007) Loss 1.7143 (1.7681) Prec@1 53.125 (53.136) Prec@5 83.750 (82.496) Epoch: [62][9870/11272] Time 0.717 (0.788) Data 0.001 (0.007) Loss 1.8463 (1.7681) Prec@1 51.250 (53.137) Prec@5 80.625 (82.496) Epoch: [62][9880/11272] Time 0.862 (0.788) Data 0.001 (0.007) Loss 1.9064 (1.7681) Prec@1 56.250 (53.138) Prec@5 77.500 (82.496) Epoch: [62][9890/11272] Time 0.712 (0.788) Data 0.003 (0.007) Loss 1.6619 (1.7681) Prec@1 60.000 (53.139) Prec@5 81.250 (82.495) Epoch: [62][9900/11272] Time 0.721 (0.788) Data 0.001 (0.007) Loss 1.9400 (1.7682) Prec@1 51.875 (53.139) Prec@5 80.000 (82.494) Epoch: [62][9910/11272] Time 0.867 (0.788) Data 0.002 (0.007) Loss 1.7342 (1.7681) Prec@1 55.000 (53.139) Prec@5 83.125 (82.494) Epoch: [62][9920/11272] Time 0.841 (0.788) Data 0.001 (0.007) Loss 1.7178 (1.7681) Prec@1 50.625 (53.140) Prec@5 81.875 (82.494) Epoch: [62][9930/11272] Time 0.727 (0.788) Data 0.002 (0.007) Loss 1.9032 (1.7681) Prec@1 50.625 (53.140) Prec@5 80.625 (82.495) Epoch: [62][9940/11272] Time 0.736 (0.788) Data 0.001 (0.007) Loss 1.5221 (1.7681) Prec@1 56.250 (53.142) Prec@5 83.750 (82.495) Epoch: [62][9950/11272] Time 0.872 (0.788) Data 0.002 (0.007) Loss 1.7811 (1.7681) Prec@1 50.000 (53.144) Prec@5 82.500 (82.496) Epoch: [62][9960/11272] Time 0.813 (0.788) Data 0.002 (0.007) Loss 1.6954 (1.7681) Prec@1 60.625 (53.142) Prec@5 81.250 (82.496) Epoch: [62][9970/11272] Time 0.722 (0.788) Data 0.001 (0.007) Loss 1.7910 (1.7681) Prec@1 54.375 (53.142) Prec@5 81.250 (82.496) Epoch: [62][9980/11272] Time 0.725 (0.788) Data 0.001 (0.007) Loss 1.7330 (1.7681) Prec@1 55.625 (53.142) Prec@5 83.750 (82.497) Epoch: [62][9990/11272] Time 0.838 (0.788) Data 0.001 (0.007) Loss 1.8011 (1.7681) Prec@1 47.500 (53.141) Prec@5 79.375 (82.496) Epoch: [62][10000/11272] Time 0.855 (0.788) Data 0.002 (0.007) Loss 1.6934 (1.7681) Prec@1 54.375 (53.142) Prec@5 83.125 (82.497) Epoch: [62][10010/11272] Time 0.735 (0.788) Data 0.002 (0.007) Loss 1.8277 (1.7681) Prec@1 55.000 (53.139) Prec@5 81.875 (82.497) Epoch: [62][10020/11272] Time 0.790 (0.788) Data 0.001 (0.007) Loss 1.7609 (1.7682) Prec@1 58.125 (53.136) Prec@5 81.875 (82.496) Epoch: [62][10030/11272] Time 0.849 (0.788) Data 0.002 (0.007) Loss 1.8992 (1.7682) Prec@1 44.375 (53.137) Prec@5 84.375 (82.496) Epoch: [62][10040/11272] Time 0.707 (0.788) Data 0.001 (0.007) Loss 1.6051 (1.7682) Prec@1 56.250 (53.137) Prec@5 85.625 (82.496) Epoch: [62][10050/11272] Time 0.727 (0.788) Data 0.001 (0.007) Loss 1.8761 (1.7683) Prec@1 54.375 (53.137) Prec@5 79.375 (82.495) Epoch: [62][10060/11272] Time 0.802 (0.788) Data 0.001 (0.007) Loss 1.6932 (1.7682) Prec@1 54.375 (53.138) Prec@5 83.750 (82.496) Epoch: [62][10070/11272] Time 0.831 (0.788) Data 0.001 (0.007) Loss 1.6743 (1.7683) Prec@1 56.250 (53.136) Prec@5 83.750 (82.495) Epoch: [62][10080/11272] Time 0.748 (0.788) Data 0.001 (0.007) Loss 1.5581 (1.7683) Prec@1 58.750 (53.135) Prec@5 88.750 (82.494) Epoch: [62][10090/11272] Time 0.715 (0.788) Data 0.001 (0.007) Loss 2.0358 (1.7684) Prec@1 48.750 (53.133) Prec@5 75.000 (82.493) Epoch: [62][10100/11272] Time 0.843 (0.788) Data 0.001 (0.007) Loss 1.6708 (1.7684) Prec@1 58.750 (53.131) Prec@5 83.750 (82.492) Epoch: [62][10110/11272] Time 0.858 (0.788) Data 0.002 (0.007) Loss 1.8994 (1.7684) Prec@1 49.375 (53.132) Prec@5 81.875 (82.492) Epoch: [62][10120/11272] Time 0.723 (0.788) Data 0.001 (0.007) Loss 1.7082 (1.7684) Prec@1 55.000 (53.130) Prec@5 83.750 (82.492) Epoch: [62][10130/11272] Time 0.706 (0.788) Data 0.001 (0.007) Loss 1.7761 (1.7684) Prec@1 56.250 (53.132) Prec@5 81.875 (82.492) Epoch: [62][10140/11272] Time 0.864 (0.788) Data 0.001 (0.007) Loss 1.8519 (1.7684) Prec@1 48.125 (53.132) Prec@5 80.000 (82.492) Epoch: [62][10150/11272] Time 0.743 (0.787) Data 0.002 (0.007) Loss 1.7323 (1.7684) Prec@1 54.375 (53.131) Prec@5 83.750 (82.491) Epoch: [62][10160/11272] Time 0.691 (0.787) Data 0.001 (0.007) Loss 1.6417 (1.7685) Prec@1 58.125 (53.129) Prec@5 85.625 (82.490) Epoch: [62][10170/11272] Time 0.826 (0.787) Data 0.002 (0.007) Loss 1.6495 (1.7685) Prec@1 53.125 (53.130) Prec@5 82.500 (82.490) Epoch: [62][10180/11272] Time 0.816 (0.787) Data 0.001 (0.007) Loss 1.8051 (1.7685) Prec@1 54.375 (53.129) Prec@5 78.750 (82.490) Epoch: [62][10190/11272] Time 0.737 (0.787) Data 0.001 (0.007) Loss 1.9900 (1.7685) Prec@1 51.250 (53.128) Prec@5 78.750 (82.491) Epoch: [62][10200/11272] Time 0.715 (0.787) Data 0.001 (0.007) Loss 1.7009 (1.7686) Prec@1 52.500 (53.127) Prec@5 82.500 (82.489) Epoch: [62][10210/11272] Time 0.817 (0.787) Data 0.001 (0.007) Loss 1.8089 (1.7685) Prec@1 50.625 (53.128) Prec@5 81.250 (82.490) Epoch: [62][10220/11272] Time 0.798 (0.787) Data 0.001 (0.007) Loss 1.6911 (1.7685) Prec@1 55.625 (53.128) Prec@5 86.250 (82.490) Epoch: [62][10230/11272] Time 0.736 (0.787) Data 0.001 (0.007) Loss 1.8133 (1.7685) Prec@1 55.625 (53.128) Prec@5 80.625 (82.491) Epoch: [62][10240/11272] Time 0.731 (0.787) Data 0.001 (0.007) Loss 1.7944 (1.7686) Prec@1 53.125 (53.124) Prec@5 80.000 (82.490) Epoch: [62][10250/11272] Time 0.902 (0.787) Data 0.002 (0.007) Loss 1.6999 (1.7687) Prec@1 53.750 (53.126) Prec@5 83.125 (82.490) Epoch: [62][10260/11272] Time 0.835 (0.787) Data 0.002 (0.007) Loss 1.9314 (1.7687) Prec@1 48.125 (53.123) Prec@5 80.000 (82.488) Epoch: [62][10270/11272] Time 0.709 (0.787) Data 0.001 (0.007) Loss 1.6930 (1.7687) Prec@1 57.500 (53.124) Prec@5 85.625 (82.489) Epoch: [62][10280/11272] Time 0.866 (0.787) Data 0.001 (0.007) Loss 1.6439 (1.7687) Prec@1 57.500 (53.125) Prec@5 83.750 (82.489) Epoch: [62][10290/11272] Time 0.841 (0.787) Data 0.002 (0.007) Loss 1.6993 (1.7688) Prec@1 56.875 (53.122) Prec@5 85.000 (82.488) Epoch: [62][10300/11272] Time 0.702 (0.787) Data 0.001 (0.007) Loss 1.6575 (1.7688) Prec@1 55.625 (53.123) Prec@5 86.250 (82.488) Epoch: [62][10310/11272] Time 0.717 (0.787) Data 0.001 (0.007) Loss 1.9541 (1.7689) Prec@1 50.625 (53.124) Prec@5 80.000 (82.486) Epoch: [62][10320/11272] Time 0.806 (0.787) Data 0.001 (0.007) Loss 1.8193 (1.7689) Prec@1 51.875 (53.123) Prec@5 78.750 (82.485) Epoch: [62][10330/11272] Time 0.802 (0.787) Data 0.001 (0.007) Loss 1.6525 (1.7689) Prec@1 52.500 (53.122) Prec@5 83.750 (82.486) Epoch: [62][10340/11272] Time 0.706 (0.787) Data 0.001 (0.007) Loss 1.7994 (1.7689) Prec@1 52.500 (53.123) Prec@5 86.250 (82.486) Epoch: [62][10350/11272] Time 0.699 (0.787) Data 0.001 (0.007) Loss 1.7005 (1.7688) Prec@1 51.250 (53.124) Prec@5 83.125 (82.486) Epoch: [62][10360/11272] Time 0.843 (0.787) Data 0.001 (0.007) Loss 1.5354 (1.7688) Prec@1 58.750 (53.125) Prec@5 88.125 (82.487) Epoch: [62][10370/11272] Time 0.796 (0.787) Data 0.001 (0.007) Loss 1.6059 (1.7688) Prec@1 58.125 (53.125) Prec@5 83.750 (82.488) Epoch: [62][10380/11272] Time 0.711 (0.787) Data 0.001 (0.007) Loss 1.7475 (1.7688) Prec@1 58.750 (53.124) Prec@5 83.750 (82.487) Epoch: [62][10390/11272] Time 0.710 (0.787) Data 0.001 (0.007) Loss 2.1272 (1.7688) Prec@1 40.625 (53.124) Prec@5 78.125 (82.487) Epoch: [62][10400/11272] Time 0.818 (0.787) Data 0.001 (0.007) Loss 1.7462 (1.7688) Prec@1 53.750 (53.123) Prec@5 83.750 (82.487) Epoch: [62][10410/11272] Time 0.847 (0.787) Data 0.001 (0.007) Loss 1.9161 (1.7688) Prec@1 49.375 (53.124) Prec@5 80.000 (82.488) Epoch: [62][10420/11272] Time 0.710 (0.787) Data 0.001 (0.007) Loss 1.7043 (1.7688) Prec@1 48.750 (53.124) Prec@5 85.625 (82.490) Epoch: [62][10430/11272] Time 0.821 (0.787) Data 0.001 (0.007) Loss 1.5205 (1.7687) Prec@1 60.000 (53.126) Prec@5 89.375 (82.492) Epoch: [62][10440/11272] Time 0.808 (0.787) Data 0.001 (0.007) Loss 1.8664 (1.7687) Prec@1 53.750 (53.126) Prec@5 81.875 (82.493) Epoch: [62][10450/11272] Time 0.722 (0.787) Data 0.001 (0.007) Loss 1.8752 (1.7688) Prec@1 50.625 (53.126) Prec@5 78.750 (82.492) Epoch: [62][10460/11272] Time 0.714 (0.787) Data 0.001 (0.007) Loss 1.9103 (1.7688) Prec@1 44.375 (53.126) Prec@5 82.500 (82.492) Epoch: [62][10470/11272] Time 0.825 (0.787) Data 0.001 (0.007) Loss 1.5854 (1.7687) Prec@1 54.375 (53.127) Prec@5 87.500 (82.493) Epoch: [62][10480/11272] Time 0.829 (0.787) Data 0.001 (0.007) Loss 1.7217 (1.7687) Prec@1 57.500 (53.128) Prec@5 82.500 (82.493) Epoch: [62][10490/11272] Time 0.734 (0.787) Data 0.001 (0.007) Loss 1.6408 (1.7687) Prec@1 56.250 (53.127) Prec@5 85.625 (82.493) Epoch: [62][10500/11272] Time 0.715 (0.787) Data 0.001 (0.007) Loss 1.8849 (1.7687) Prec@1 53.750 (53.126) Prec@5 82.500 (82.494) Epoch: [62][10510/11272] Time 0.809 (0.787) Data 0.001 (0.007) Loss 1.9852 (1.7687) Prec@1 48.750 (53.127) Prec@5 81.250 (82.494) Epoch: [62][10520/11272] Time 0.823 (0.787) Data 0.001 (0.007) Loss 1.5354 (1.7687) Prec@1 60.000 (53.126) Prec@5 87.500 (82.494) Epoch: [62][10530/11272] Time 0.707 (0.787) Data 0.001 (0.007) Loss 1.7248 (1.7687) Prec@1 56.250 (53.127) Prec@5 81.875 (82.495) Epoch: [62][10540/11272] Time 0.723 (0.787) Data 0.001 (0.007) Loss 1.8427 (1.7688) Prec@1 51.875 (53.126) Prec@5 83.750 (82.494) Epoch: [62][10550/11272] Time 0.838 (0.787) Data 0.001 (0.007) Loss 1.6575 (1.7687) Prec@1 58.125 (53.128) Prec@5 83.750 (82.494) Epoch: [62][10560/11272] Time 0.684 (0.787) Data 0.001 (0.007) Loss 2.1057 (1.7688) Prec@1 41.250 (53.126) Prec@5 74.375 (82.494) Epoch: [62][10570/11272] Time 0.714 (0.787) Data 0.001 (0.007) Loss 1.9362 (1.7688) Prec@1 53.125 (53.125) Prec@5 76.250 (82.493) Epoch: [62][10580/11272] Time 0.829 (0.787) Data 0.001 (0.007) Loss 1.5720 (1.7687) Prec@1 56.875 (53.126) Prec@5 88.125 (82.494) Epoch: [62][10590/11272] Time 0.793 (0.787) Data 0.001 (0.007) Loss 1.7202 (1.7687) Prec@1 52.500 (53.127) Prec@5 83.750 (82.494) Epoch: [62][10600/11272] Time 0.734 (0.787) Data 0.002 (0.007) Loss 1.7425 (1.7688) Prec@1 56.250 (53.125) Prec@5 84.375 (82.494) Epoch: [62][10610/11272] Time 0.717 (0.787) Data 0.001 (0.007) Loss 1.8221 (1.7687) Prec@1 48.750 (53.126) Prec@5 86.250 (82.494) Epoch: [62][10620/11272] Time 0.846 (0.787) Data 0.001 (0.007) Loss 1.8151 (1.7688) Prec@1 53.125 (53.126) Prec@5 81.250 (82.493) Epoch: [62][10630/11272] Time 0.819 (0.787) Data 0.001 (0.007) Loss 1.7553 (1.7688) Prec@1 55.625 (53.125) Prec@5 84.375 (82.492) Epoch: [62][10640/11272] Time 0.743 (0.787) Data 0.001 (0.007) Loss 2.0166 (1.7689) Prec@1 51.875 (53.124) Prec@5 79.375 (82.492) Epoch: [62][10650/11272] Time 0.719 (0.787) Data 0.001 (0.007) Loss 1.8647 (1.7689) Prec@1 52.500 (53.123) Prec@5 79.375 (82.492) Epoch: [62][10660/11272] Time 0.857 (0.787) Data 0.001 (0.007) Loss 1.8667 (1.7689) Prec@1 52.500 (53.123) Prec@5 78.125 (82.491) Epoch: [62][10670/11272] Time 0.811 (0.787) Data 0.001 (0.007) Loss 1.4910 (1.7689) Prec@1 60.000 (53.123) Prec@5 84.375 (82.490) Epoch: [62][10680/11272] Time 0.718 (0.787) Data 0.002 (0.007) Loss 1.5724 (1.7689) Prec@1 63.750 (53.124) Prec@5 81.250 (82.490) Epoch: [62][10690/11272] Time 0.837 (0.787) Data 0.001 (0.007) Loss 1.4991 (1.7688) Prec@1 64.375 (53.127) Prec@5 85.625 (82.492) Epoch: [62][10700/11272] Time 0.833 (0.787) Data 0.001 (0.007) Loss 1.8946 (1.7688) Prec@1 51.250 (53.129) Prec@5 77.500 (82.493) Epoch: [62][10710/11272] Time 0.713 (0.787) Data 0.001 (0.007) Loss 1.7983 (1.7688) Prec@1 51.250 (53.129) Prec@5 80.625 (82.493) Epoch: [62][10720/11272] Time 0.721 (0.787) Data 0.002 (0.007) Loss 1.5560 (1.7688) Prec@1 56.250 (53.129) Prec@5 85.625 (82.492) Epoch: [62][10730/11272] Time 0.844 (0.787) Data 0.001 (0.007) Loss 1.6243 (1.7687) Prec@1 56.250 (53.131) Prec@5 87.500 (82.494) Epoch: [62][10740/11272] Time 0.843 (0.787) Data 0.001 (0.007) Loss 1.7704 (1.7687) Prec@1 50.625 (53.131) Prec@5 85.625 (82.495) Epoch: [62][10750/11272] Time 0.714 (0.787) Data 0.001 (0.007) Loss 1.6674 (1.7687) Prec@1 55.000 (53.132) Prec@5 86.875 (82.495) Epoch: [62][10760/11272] Time 0.708 (0.787) Data 0.001 (0.007) Loss 1.7612 (1.7687) Prec@1 53.125 (53.133) Prec@5 81.875 (82.494) Epoch: [62][10770/11272] Time 0.817 (0.787) Data 0.001 (0.007) Loss 1.7689 (1.7687) Prec@1 54.375 (53.134) Prec@5 82.500 (82.494) Epoch: [62][10780/11272] Time 0.847 (0.787) Data 0.001 (0.007) Loss 1.7695 (1.7688) Prec@1 50.625 (53.133) Prec@5 81.250 (82.495) Epoch: [62][10790/11272] Time 0.712 (0.787) Data 0.001 (0.007) Loss 1.8867 (1.7687) Prec@1 51.875 (53.134) Prec@5 83.125 (82.497) Epoch: [62][10800/11272] Time 0.689 (0.787) Data 0.001 (0.007) Loss 1.9024 (1.7687) Prec@1 53.125 (53.135) Prec@5 80.000 (82.498) Epoch: [62][10810/11272] Time 0.827 (0.787) Data 0.001 (0.007) Loss 1.7888 (1.7686) Prec@1 49.375 (53.136) Prec@5 81.250 (82.498) Epoch: [62][10820/11272] Time 0.710 (0.787) Data 0.002 (0.007) Loss 1.8932 (1.7686) Prec@1 53.125 (53.137) Prec@5 79.375 (82.497) Epoch: [62][10830/11272] Time 0.712 (0.787) Data 0.001 (0.007) Loss 1.8788 (1.7687) Prec@1 53.750 (53.137) Prec@5 79.375 (82.497) Epoch: [62][10840/11272] Time 0.827 (0.787) Data 0.002 (0.007) Loss 1.7322 (1.7686) Prec@1 55.000 (53.138) Prec@5 89.375 (82.497) Epoch: [62][10850/11272] Time 0.824 (0.787) Data 0.001 (0.007) Loss 1.6604 (1.7686) Prec@1 54.375 (53.139) Prec@5 84.375 (82.498) Epoch: [62][10860/11272] Time 0.709 (0.787) Data 0.002 (0.007) Loss 1.6813 (1.7686) Prec@1 52.500 (53.139) Prec@5 83.750 (82.498) Epoch: [62][10870/11272] Time 0.741 (0.787) Data 0.002 (0.007) Loss 1.5273 (1.7685) Prec@1 60.625 (53.140) Prec@5 86.250 (82.498) Epoch: [62][10880/11272] Time 0.880 (0.787) Data 0.001 (0.007) Loss 1.9887 (1.7686) Prec@1 51.250 (53.138) Prec@5 77.500 (82.496) Epoch: [62][10890/11272] Time 0.806 (0.787) Data 0.001 (0.007) Loss 1.6582 (1.7686) Prec@1 55.000 (53.137) Prec@5 84.375 (82.496) Epoch: [62][10900/11272] Time 0.716 (0.787) Data 0.002 (0.007) Loss 1.6693 (1.7686) Prec@1 55.000 (53.136) Prec@5 85.625 (82.497) Epoch: [62][10910/11272] Time 0.745 (0.787) Data 0.001 (0.007) Loss 1.9610 (1.7687) Prec@1 45.000 (53.136) Prec@5 79.375 (82.497) Epoch: [62][10920/11272] Time 0.803 (0.787) Data 0.001 (0.007) Loss 1.8980 (1.7687) Prec@1 53.125 (53.136) Prec@5 78.125 (82.497) Epoch: [62][10930/11272] Time 0.836 (0.786) Data 0.001 (0.007) Loss 1.8611 (1.7686) Prec@1 51.250 (53.137) Prec@5 79.375 (82.497) Epoch: [62][10940/11272] Time 0.717 (0.786) Data 0.002 (0.007) Loss 1.9086 (1.7686) Prec@1 46.250 (53.138) Prec@5 80.000 (82.499) Epoch: [62][10950/11272] Time 0.873 (0.786) Data 0.001 (0.007) Loss 2.0310 (1.7686) Prec@1 46.875 (53.137) Prec@5 79.375 (82.499) Epoch: [62][10960/11272] Time 0.829 (0.786) Data 0.002 (0.007) Loss 1.8444 (1.7686) Prec@1 49.375 (53.137) Prec@5 80.625 (82.499) Epoch: [62][10970/11272] Time 0.716 (0.786) Data 0.001 (0.007) Loss 2.0993 (1.7686) Prec@1 44.375 (53.136) Prec@5 78.750 (82.499) Epoch: [62][10980/11272] Time 0.744 (0.786) Data 0.002 (0.007) Loss 1.6693 (1.7686) Prec@1 53.750 (53.136) Prec@5 80.000 (82.498) Epoch: [62][10990/11272] Time 0.805 (0.786) Data 0.001 (0.007) Loss 1.6944 (1.7686) Prec@1 53.750 (53.135) Prec@5 83.125 (82.499) Epoch: [62][11000/11272] Time 0.804 (0.786) Data 0.001 (0.007) Loss 1.8819 (1.7686) Prec@1 52.500 (53.136) Prec@5 79.375 (82.499) Epoch: [62][11010/11272] Time 0.723 (0.786) Data 0.001 (0.007) Loss 1.7575 (1.7686) Prec@1 56.875 (53.137) Prec@5 86.250 (82.499) Epoch: [62][11020/11272] Time 0.718 (0.786) Data 0.002 (0.007) Loss 1.6282 (1.7686) Prec@1 53.125 (53.138) Prec@5 83.750 (82.500) Epoch: [62][11030/11272] Time 0.834 (0.786) Data 0.001 (0.007) Loss 1.7440 (1.7685) Prec@1 53.125 (53.140) Prec@5 81.875 (82.501) Epoch: [62][11040/11272] Time 0.836 (0.786) Data 0.001 (0.007) Loss 1.7045 (1.7685) Prec@1 50.625 (53.140) Prec@5 86.250 (82.501) Epoch: [62][11050/11272] Time 0.717 (0.786) Data 0.001 (0.007) Loss 2.1212 (1.7685) Prec@1 53.750 (53.141) Prec@5 74.375 (82.501) Epoch: [62][11060/11272] Time 0.723 (0.786) Data 0.002 (0.007) Loss 1.8248 (1.7684) Prec@1 57.500 (53.143) Prec@5 82.500 (82.501) Epoch: [62][11070/11272] Time 0.833 (0.786) Data 0.001 (0.007) Loss 1.8482 (1.7685) Prec@1 55.625 (53.143) Prec@5 82.500 (82.500) Epoch: [62][11080/11272] Time 0.735 (0.786) Data 0.002 (0.007) Loss 1.7464 (1.7685) Prec@1 55.625 (53.141) Prec@5 82.500 (82.501) Epoch: [62][11090/11272] Time 0.737 (0.786) Data 0.002 (0.007) Loss 1.5597 (1.7685) Prec@1 57.500 (53.140) Prec@5 84.375 (82.500) Epoch: [62][11100/11272] Time 0.807 (0.786) Data 0.001 (0.007) Loss 1.8617 (1.7685) Prec@1 51.875 (53.140) Prec@5 78.125 (82.500) Epoch: [62][11110/11272] Time 0.827 (0.786) Data 0.001 (0.007) Loss 1.7563 (1.7686) Prec@1 54.375 (53.140) Prec@5 85.625 (82.499) Epoch: [62][11120/11272] Time 0.743 (0.786) Data 0.002 (0.007) Loss 1.9471 (1.7687) Prec@1 51.250 (53.139) Prec@5 80.000 (82.498) Epoch: [62][11130/11272] Time 0.752 (0.786) Data 0.001 (0.007) Loss 1.7678 (1.7687) Prec@1 49.375 (53.138) Prec@5 85.625 (82.498) Epoch: [62][11140/11272] Time 0.832 (0.786) Data 0.001 (0.007) Loss 1.7114 (1.7687) Prec@1 55.625 (53.137) Prec@5 86.250 (82.498) Epoch: [62][11150/11272] Time 0.840 (0.786) Data 0.001 (0.007) Loss 1.8058 (1.7688) Prec@1 57.500 (53.137) Prec@5 80.000 (82.498) Epoch: [62][11160/11272] Time 0.725 (0.786) Data 0.001 (0.007) Loss 2.0215 (1.7687) Prec@1 48.750 (53.139) Prec@5 78.750 (82.499) Epoch: [62][11170/11272] Time 0.743 (0.786) Data 0.001 (0.007) Loss 1.9949 (1.7687) Prec@1 50.625 (53.140) Prec@5 78.125 (82.498) Epoch: [62][11180/11272] Time 0.815 (0.786) Data 0.001 (0.007) Loss 1.6437 (1.7686) Prec@1 52.500 (53.141) Prec@5 85.625 (82.500) Epoch: [62][11190/11272] Time 0.836 (0.786) Data 0.001 (0.007) Loss 1.6773 (1.7687) Prec@1 57.500 (53.141) Prec@5 83.125 (82.499) Epoch: [62][11200/11272] Time 0.715 (0.786) Data 0.001 (0.007) Loss 2.0302 (1.7686) Prec@1 45.000 (53.140) Prec@5 80.000 (82.501) Epoch: [62][11210/11272] Time 0.911 (0.786) Data 0.001 (0.007) Loss 1.8723 (1.7687) Prec@1 50.625 (53.138) Prec@5 82.500 (82.500) Epoch: [62][11220/11272] Time 0.825 (0.786) Data 0.001 (0.007) Loss 2.0472 (1.7687) Prec@1 45.625 (53.138) Prec@5 78.125 (82.500) Epoch: [62][11230/11272] Time 0.714 (0.786) Data 0.001 (0.007) Loss 1.8545 (1.7688) Prec@1 49.375 (53.137) Prec@5 80.000 (82.498) Epoch: [62][11240/11272] Time 0.759 (0.786) Data 0.002 (0.007) Loss 1.8746 (1.7687) Prec@1 48.125 (53.138) Prec@5 81.875 (82.500) Epoch: [62][11250/11272] Time 0.840 (0.786) Data 0.002 (0.007) Loss 1.5534 (1.7688) Prec@1 53.125 (53.136) Prec@5 89.375 (82.500) Epoch: [62][11260/11272] Time 0.831 (0.786) Data 0.001 (0.007) Loss 1.8372 (1.7688) Prec@1 55.000 (53.136) Prec@5 78.125 (82.499) Epoch: [62][11270/11272] Time 0.718 (0.786) Data 0.000 (0.007) Loss 1.7146 (1.7687) Prec@1 53.750 (53.137) Prec@5 85.625 (82.501) Test: [0/229] Time 2.404 (2.404) Loss 1.2038 (1.2038) Prec@1 61.250 (61.250) Prec@5 95.625 (95.625) Test: [10/229] Time 0.482 (0.616) Loss 1.0371 (1.5427) Prec@1 70.000 (57.670) Prec@5 96.875 (88.295) Test: [20/229] Time 0.620 (0.526) Loss 1.9063 (1.6108) Prec@1 53.125 (55.268) Prec@5 83.125 (87.262) Test: [30/229] Time 0.400 (0.491) Loss 1.9476 (1.5540) Prec@1 48.125 (57.762) Prec@5 85.000 (87.762) Test: [40/229] Time 0.542 (0.480) Loss 0.4290 (1.5541) Prec@1 90.000 (57.912) Prec@5 95.625 (87.515) Test: [50/229] Time 0.305 (0.467) Loss 2.2310 (1.6106) Prec@1 36.875 (56.532) Prec@5 81.875 (86.360) Test: [60/229] Time 0.544 (0.461) Loss 2.0217 (1.6010) Prec@1 45.000 (56.650) Prec@5 84.375 (86.455) Test: [70/229] Time 0.326 (0.453) Loss 1.2540 (1.6121) Prec@1 69.375 (56.400) Prec@5 86.250 (86.250) Test: [80/229] Time 0.541 (0.452) Loss 2.0484 (1.6307) Prec@1 40.000 (55.610) Prec@5 85.625 (86.211) Test: [90/229] Time 0.334 (0.446) Loss 1.1626 (1.6420) Prec@1 73.750 (55.398) Prec@5 88.125 (86.126) Test: [100/229] Time 0.725 (0.446) Loss 2.1610 (1.6356) Prec@1 48.125 (55.817) Prec@5 81.875 (86.089) Test: [110/229] Time 0.386 (0.443) Loss 1.2971 (1.6166) Prec@1 64.375 (56.166) Prec@5 88.125 (86.295) Test: [120/229] Time 0.498 (0.443) Loss 2.6124 (1.6349) Prec@1 32.500 (55.625) Prec@5 76.875 (86.023) Test: [130/229] Time 0.408 (0.442) Loss 1.1404 (1.6202) Prec@1 62.500 (55.945) Prec@5 94.375 (86.207) Test: [140/229] Time 0.456 (0.440) Loss 1.7770 (1.6324) Prec@1 53.125 (55.612) Prec@5 85.625 (86.104) Test: [150/229] Time 0.449 (0.439) Loss 1.0512 (1.6468) Prec@1 75.000 (55.257) Prec@5 89.375 (85.935) Test: [160/229] Time 0.456 (0.439) Loss 1.7811 (1.6504) Prec@1 58.750 (55.128) Prec@5 83.750 (85.870) Test: [170/229] Time 0.342 (0.438) Loss 1.6937 (1.6615) Prec@1 52.500 (54.689) Prec@5 86.875 (85.746) Test: [180/229] Time 0.593 (0.438) Loss 2.4292 (1.6676) Prec@1 36.875 (54.672) Prec@5 71.250 (85.573) Test: [190/229] Time 0.306 (0.436) Loss 1.3142 (1.6557) Prec@1 60.625 (54.993) Prec@5 91.875 (85.681) Test: [200/229] Time 0.587 (0.437) Loss 1.7615 (1.6496) Prec@1 50.625 (54.991) Prec@5 80.625 (85.827) Test: [210/229] Time 0.327 (0.436) Loss 1.0234 (1.6390) Prec@1 68.125 (55.308) Prec@5 94.375 (85.980) Test: [220/229] Time 0.432 (0.436) Loss 1.4407 (1.6288) Prec@1 60.000 (55.704) Prec@5 90.000 (86.024) * Prec@1 56.009 Prec@5 86.067 Epoch: [63][0/11272] Time 4.077 (4.077) Data 3.105 (3.105) Loss 1.7637 (1.7637) Prec@1 53.125 (53.125) Prec@5 83.125 (83.125) Epoch: [63][10/11272] Time 0.707 (1.067) Data 0.001 (0.283) Loss 1.7366 (1.7237) Prec@1 54.375 (53.977) Prec@5 80.625 (83.182) Epoch: [63][20/11272] Time 0.816 (0.925) Data 0.001 (0.149) Loss 1.7003 (1.7168) Prec@1 55.625 (54.226) Prec@5 80.625 (83.274) Epoch: [63][30/11272] Time 0.804 (0.875) Data 0.001 (0.101) Loss 1.7780 (1.7161) Prec@1 55.000 (54.435) Prec@5 81.875 (83.085) Epoch: [63][40/11272] Time 0.709 (0.842) Data 0.001 (0.077) Loss 1.6503 (1.7144) Prec@1 50.000 (53.948) Prec@5 88.125 (83.506) Epoch: [63][50/11272] Time 0.705 (0.827) Data 0.002 (0.062) Loss 1.6103 (1.7277) Prec@1 54.375 (53.762) Prec@5 86.875 (83.272) Epoch: [63][60/11272] Time 0.854 (0.820) Data 0.001 (0.052) Loss 1.6786 (1.7293) Prec@1 55.000 (53.996) Prec@5 86.250 (83.340) Epoch: [63][70/11272] Time 0.812 (0.813) Data 0.001 (0.045) Loss 1.7261 (1.7302) Prec@1 58.125 (54.023) Prec@5 82.500 (83.283) Epoch: [63][80/11272] Time 0.727 (0.808) Data 0.001 (0.040) Loss 1.8548 (1.7381) Prec@1 51.250 (53.904) Prec@5 80.625 (83.079) Epoch: [63][90/11272] Time 0.712 (0.804) Data 0.001 (0.036) Loss 1.8240 (1.7461) Prec@1 53.750 (53.901) Prec@5 78.750 (82.960) Epoch: [63][100/11272] Time 0.840 (0.802) Data 0.001 (0.032) Loss 1.6500 (1.7449) Prec@1 55.000 (53.985) Prec@5 89.375 (82.952) Epoch: [63][110/11272] Time 0.811 (0.799) Data 0.001 (0.029) Loss 1.7597 (1.7440) Prec@1 54.375 (53.975) Prec@5 78.125 (82.860) Epoch: [63][120/11272] Time 0.705 (0.797) Data 0.001 (0.027) Loss 1.7112 (1.7416) Prec@1 56.875 (54.060) Prec@5 85.000 (82.918) Epoch: [63][130/11272] Time 0.729 (0.795) Data 0.002 (0.025) Loss 1.5672 (1.7368) Prec@1 60.625 (54.165) Prec@5 87.500 (83.001) Epoch: [63][140/11272] Time 0.827 (0.793) Data 0.001 (0.023) Loss 1.7146 (1.7367) Prec@1 54.375 (54.193) Prec@5 82.500 (82.979) Epoch: [63][150/11272] Time 0.726 (0.793) Data 0.001 (0.022) Loss 1.7806 (1.7435) Prec@1 52.500 (54.048) Prec@5 84.375 (82.926) Epoch: [63][160/11272] Time 0.722 (0.791) Data 0.001 (0.021) Loss 1.7864 (1.7431) Prec@1 53.750 (53.948) Prec@5 83.750 (82.977) Epoch: [63][170/11272] Time 0.828 (0.791) Data 0.001 (0.020) Loss 1.4120 (1.7475) Prec@1 63.750 (53.805) Prec@5 85.625 (82.902) Epoch: [63][180/11272] Time 0.807 (0.790) Data 0.001 (0.019) Loss 1.9436 (1.7467) Prec@1 51.250 (53.898) Prec@5 80.625 (82.873) Epoch: [63][190/11272] Time 0.727 (0.790) Data 0.002 (0.018) Loss 1.4665 (1.7466) Prec@1 63.750 (53.943) Prec@5 86.875 (82.830) Epoch: [63][200/11272] Time 0.721 (0.789) Data 0.001 (0.017) Loss 1.6828 (1.7480) Prec@1 49.375 (53.837) Prec@5 84.375 (82.839) Epoch: [63][210/11272] Time 0.823 (0.788) Data 0.001 (0.016) Loss 1.5993 (1.7520) Prec@1 57.500 (53.791) Prec@5 84.375 (82.734) Epoch: [63][220/11272] Time 0.820 (0.787) Data 0.001 (0.015) Loss 2.0107 (1.7513) Prec@1 46.875 (53.773) Prec@5 80.000 (82.738) Epoch: [63][230/11272] Time 0.711 (0.786) Data 0.001 (0.015) Loss 1.4478 (1.7514) Prec@1 56.250 (53.715) Prec@5 89.375 (82.768) Epoch: [63][240/11272] Time 0.725 (0.785) Data 0.002 (0.014) Loss 1.8206 (1.7519) Prec@1 51.875 (53.672) Prec@5 83.750 (82.796) Epoch: [63][250/11272] Time 0.878 (0.785) Data 0.001 (0.014) Loss 1.6306 (1.7511) Prec@1 53.750 (53.648) Prec@5 85.625 (82.804) Epoch: [63][260/11272] Time 0.801 (0.785) Data 0.001 (0.013) Loss 1.7688 (1.7488) Prec@1 52.500 (53.705) Prec@5 84.375 (82.883) Epoch: [63][270/11272] Time 0.723 (0.785) Data 0.001 (0.013) Loss 1.6377 (1.7474) Prec@1 53.750 (53.662) Prec@5 85.000 (82.915) Epoch: [63][280/11272] Time 0.816 (0.784) Data 0.001 (0.012) Loss 1.8621 (1.7478) Prec@1 56.250 (53.677) Prec@5 78.750 (82.896) Epoch: [63][290/11272] Time 0.801 (0.784) Data 0.001 (0.012) Loss 1.6882 (1.7458) Prec@1 58.125 (53.729) Prec@5 82.500 (82.919) Epoch: [63][300/11272] Time 0.712 (0.784) Data 0.001 (0.012) Loss 1.6632 (1.7443) Prec@1 55.625 (53.767) Prec@5 84.375 (82.942) Epoch: [63][310/11272] Time 0.718 (0.783) Data 0.001 (0.011) Loss 1.4436 (1.7441) Prec@1 61.875 (53.776) Prec@5 86.250 (82.944) Epoch: [63][320/11272] Time 0.817 (0.783) Data 0.001 (0.011) Loss 1.8593 (1.7432) Prec@1 54.375 (53.812) Prec@5 82.500 (82.963) Epoch: [63][330/11272] Time 0.847 (0.783) Data 0.001 (0.011) Loss 1.8830 (1.7432) Prec@1 51.250 (53.826) Prec@5 83.750 (82.957) Epoch: [63][340/11272] Time 0.741 (0.782) Data 0.002 (0.011) Loss 1.7352 (1.7426) Prec@1 51.250 (53.809) Prec@5 85.000 (82.986) Epoch: [63][350/11272] Time 0.732 (0.782) Data 0.001 (0.010) Loss 1.8487 (1.7429) Prec@1 52.500 (53.825) Prec@5 85.000 (82.993) Epoch: [63][360/11272] Time 0.827 (0.783) Data 0.001 (0.010) Loss 1.7451 (1.7441) Prec@1 56.875 (53.812) Prec@5 80.000 (82.976) Epoch: [63][370/11272] Time 0.802 (0.782) Data 0.002 (0.010) Loss 1.7863 (1.7451) Prec@1 52.500 (53.769) Prec@5 80.625 (82.943) Epoch: [63][380/11272] Time 0.739 (0.782) Data 0.002 (0.010) Loss 1.5813 (1.7455) Prec@1 59.375 (53.765) Prec@5 83.750 (82.907) Epoch: [63][390/11272] Time 0.710 (0.782) Data 0.001 (0.009) Loss 1.8717 (1.7465) Prec@1 47.500 (53.704) Prec@5 78.750 (82.887) Epoch: [63][400/11272] Time 0.847 (0.782) Data 0.002 (0.009) Loss 1.5758 (1.7465) Prec@1 52.500 (53.705) Prec@5 88.125 (82.891) Epoch: [63][410/11272] Time 0.729 (0.781) Data 0.004 (0.009) Loss 1.6392 (1.7462) Prec@1 60.000 (53.709) Prec@5 85.625 (82.903) Epoch: [63][420/11272] Time 0.757 (0.781) Data 0.002 (0.009) Loss 1.8169 (1.7472) Prec@1 51.875 (53.680) Prec@5 81.875 (82.877) Epoch: [63][430/11272] Time 0.847 (0.782) Data 0.001 (0.009) Loss 1.8173 (1.7475) Prec@1 46.250 (53.672) Prec@5 81.875 (82.863) Epoch: [63][440/11272] Time 0.784 (0.781) Data 0.001 (0.008) Loss 1.6110 (1.7471) Prec@1 58.125 (53.692) Prec@5 85.625 (82.883) Epoch: [63][450/11272] Time 0.725 (0.781) Data 0.001 (0.008) Loss 1.8125 (1.7469) Prec@1 53.125 (53.703) Prec@5 79.375 (82.889) Epoch: [63][460/11272] Time 0.717 (0.781) Data 0.001 (0.008) Loss 1.6371 (1.7475) Prec@1 54.375 (53.694) Prec@5 85.000 (82.886) Epoch: [63][470/11272] Time 0.826 (0.781) Data 0.001 (0.008) Loss 1.6208 (1.7467) Prec@1 53.750 (53.702) Prec@5 86.875 (82.905) Epoch: [63][480/11272] Time 0.800 (0.781) Data 0.001 (0.008) Loss 1.7885 (1.7465) Prec@1 56.250 (53.708) Prec@5 82.500 (82.931) Epoch: [63][490/11272] Time 0.750 (0.781) Data 0.002 (0.008) Loss 1.7715 (1.7462) Prec@1 53.125 (53.719) Prec@5 81.875 (82.930) Epoch: [63][500/11272] Time 0.742 (0.780) Data 0.001 (0.008) Loss 1.5262 (1.7458) Prec@1 57.500 (53.721) Prec@5 83.125 (82.920) Epoch: [63][510/11272] Time 0.849 (0.780) Data 0.001 (0.007) Loss 1.7266 (1.7462) Prec@1 55.000 (53.744) Prec@5 83.125 (82.909) Epoch: [63][520/11272] Time 0.843 (0.780) Data 0.001 (0.007) Loss 1.5298 (1.7466) Prec@1 57.500 (53.727) Prec@5 87.500 (82.884) Epoch: [63][530/11272] Time 0.718 (0.780) Data 0.001 (0.007) Loss 1.7684 (1.7471) Prec@1 52.500 (53.712) Prec@5 80.000 (82.863) Epoch: [63][540/11272] Time 0.853 (0.780) Data 0.001 (0.007) Loss 1.9182 (1.7476) Prec@1 48.125 (53.701) Prec@5 78.125 (82.863) Epoch: [63][550/11272] Time 0.823 (0.780) Data 0.001 (0.007) Loss 1.6463 (1.7465) Prec@1 54.375 (53.725) Prec@5 83.125 (82.881) Epoch: [63][560/11272] Time 0.747 (0.780) Data 0.002 (0.007) Loss 1.8896 (1.7468) Prec@1 50.625 (53.723) Prec@5 79.375 (82.889) Epoch: [63][570/11272] Time 0.715 (0.780) Data 0.001 (0.007) Loss 1.7074 (1.7482) Prec@1 52.500 (53.684) Prec@5 83.125 (82.854) Epoch: [63][580/11272] Time 0.806 (0.780) Data 0.001 (0.007) Loss 1.8300 (1.7482) Prec@1 49.375 (53.681) Prec@5 80.000 (82.851) Epoch: [63][590/11272] Time 0.820 (0.780) Data 0.001 (0.007) Loss 1.6404 (1.7487) Prec@1 52.500 (53.654) Prec@5 84.375 (82.848) Epoch: [63][600/11272] Time 0.735 (0.779) Data 0.002 (0.007) Loss 1.7248 (1.7484) Prec@1 52.500 (53.665) Prec@5 82.500 (82.846) Epoch: [63][610/11272] Time 0.717 (0.779) Data 0.001 (0.006) Loss 1.8352 (1.7488) Prec@1 53.125 (53.682) Prec@5 81.250 (82.838) Epoch: [63][620/11272] Time 0.858 (0.779) Data 0.002 (0.006) Loss 2.1466 (1.7497) Prec@1 53.125 (53.674) Prec@5 78.125 (82.811) Epoch: [63][630/11272] Time 0.835 (0.779) Data 0.006 (0.006) Loss 1.5824 (1.7491) Prec@1 55.625 (53.668) Prec@5 86.250 (82.828) Epoch: [63][640/11272] Time 0.739 (0.779) Data 0.002 (0.006) Loss 1.5720 (1.7485) Prec@1 56.250 (53.661) Prec@5 85.000 (82.835) Epoch: [63][650/11272] Time 0.721 (0.779) Data 0.001 (0.006) Loss 1.7663 (1.7483) Prec@1 52.500 (53.659) Prec@5 85.000 (82.844) Epoch: [63][660/11272] Time 0.834 (0.779) Data 0.001 (0.006) Loss 1.6014 (1.7487) Prec@1 58.750 (53.668) Prec@5 82.500 (82.831) Epoch: [63][670/11272] Time 0.718 (0.779) Data 0.003 (0.006) Loss 2.1093 (1.7495) Prec@1 47.500 (53.672) Prec@5 76.250 (82.810) Epoch: [63][680/11272] Time 0.707 (0.779) Data 0.001 (0.006) Loss 1.6610 (1.7492) Prec@1 55.625 (53.688) Prec@5 83.750 (82.792) Epoch: [63][690/11272] Time 0.900 (0.779) Data 0.002 (0.006) Loss 1.8045 (1.7500) Prec@1 45.625 (53.653) Prec@5 82.500 (82.785) Epoch: [63][700/11272] Time 0.832 (0.779) Data 0.002 (0.006) Loss 1.7409 (1.7495) Prec@1 52.500 (53.639) Prec@5 81.875 (82.794) Epoch: [63][710/11272] Time 0.709 (0.779) Data 0.002 (0.006) Loss 1.7638 (1.7493) Prec@1 51.875 (53.655) Prec@5 82.500 (82.802) Epoch: [63][720/11272] Time 0.712 (0.779) Data 0.002 (0.006) Loss 1.7423 (1.7494) Prec@1 55.000 (53.638) Prec@5 85.625 (82.814) Epoch: [63][730/11272] Time 0.848 (0.779) Data 0.001 (0.006) Loss 1.9312 (1.7485) Prec@1 51.875 (53.654) Prec@5 78.750 (82.823) Epoch: [63][740/11272] Time 0.845 (0.779) Data 0.001 (0.006) Loss 1.7852 (1.7488) Prec@1 54.375 (53.638) Prec@5 82.500 (82.832) Epoch: [63][750/11272] Time 0.801 (0.779) Data 0.001 (0.006) Loss 1.7752 (1.7490) Prec@1 52.500 (53.630) Prec@5 83.125 (82.835) Epoch: [63][760/11272] Time 0.723 (0.779) Data 0.001 (0.005) Loss 1.5087 (1.7491) Prec@1 58.750 (53.638) Prec@5 88.750 (82.848) Epoch: [63][770/11272] Time 0.815 (0.779) Data 0.001 (0.005) Loss 1.9830 (1.7491) Prec@1 47.500 (53.649) Prec@5 79.375 (82.850) Epoch: [63][780/11272] Time 0.829 (0.779) Data 0.001 (0.005) Loss 1.7294 (1.7495) Prec@1 51.875 (53.619) Prec@5 82.500 (82.848) Epoch: [63][790/11272] Time 0.708 (0.779) Data 0.001 (0.005) Loss 1.6445 (1.7497) Prec@1 51.250 (53.617) Prec@5 86.875 (82.845) Epoch: [63][800/11272] Time 0.870 (0.779) Data 0.001 (0.005) Loss 1.7459 (1.7511) Prec@1 51.875 (53.604) Prec@5 81.250 (82.801) Epoch: [63][810/11272] Time 0.834 (0.778) Data 0.001 (0.005) Loss 1.7657 (1.7510) Prec@1 55.000 (53.619) Prec@5 81.875 (82.796) Epoch: [63][820/11272] Time 0.734 (0.779) Data 0.002 (0.005) Loss 1.8111 (1.7512) Prec@1 51.250 (53.605) Prec@5 81.875 (82.799) Epoch: [63][830/11272] Time 0.731 (0.778) Data 0.001 (0.005) Loss 1.9375 (1.7516) Prec@1 48.125 (53.603) Prec@5 80.000 (82.806) Epoch: [63][840/11272] Time 0.873 (0.779) Data 0.001 (0.005) Loss 1.8329 (1.7514) Prec@1 48.125 (53.613) Prec@5 81.250 (82.813) Epoch: [63][850/11272] Time 0.808 (0.778) Data 0.001 (0.005) Loss 1.8237 (1.7518) Prec@1 46.875 (53.577) Prec@5 85.000 (82.820) Epoch: [63][860/11272] Time 0.711 (0.778) Data 0.001 (0.005) Loss 1.7431 (1.7513) Prec@1 56.875 (53.605) Prec@5 81.875 (82.829) Epoch: [63][870/11272] Time 0.727 (0.778) Data 0.002 (0.005) Loss 1.6282 (1.7508) Prec@1 53.125 (53.627) Prec@5 83.750 (82.836) Epoch: [63][880/11272] Time 0.829 (0.778) Data 0.001 (0.005) Loss 1.5867 (1.7506) Prec@1 56.875 (53.644) Prec@5 90.000 (82.860) Epoch: [63][890/11272] Time 0.806 (0.778) Data 0.001 (0.005) Loss 1.7286 (1.7510) Prec@1 53.125 (53.634) Prec@5 85.000 (82.854) Epoch: [63][900/11272] Time 0.708 (0.778) Data 0.001 (0.005) Loss 1.4900 (1.7504) Prec@1 61.250 (53.665) Prec@5 86.250 (82.864) Epoch: [63][910/11272] Time 0.755 (0.778) Data 0.001 (0.005) Loss 1.7811 (1.7500) Prec@1 53.125 (53.675) Prec@5 83.125 (82.876) Epoch: [63][920/11272] Time 0.865 (0.779) Data 0.002 (0.005) Loss 1.6225 (1.7496) Prec@1 60.625 (53.682) Prec@5 80.625 (82.874) Epoch: [63][930/11272] Time 0.783 (0.778) Data 0.001 (0.005) Loss 1.7751 (1.7491) Prec@1 58.750 (53.701) Prec@5 79.375 (82.877) Epoch: [63][940/11272] Time 0.709 (0.778) Data 0.001 (0.005) Loss 1.6681 (1.7492) Prec@1 63.125 (53.713) Prec@5 83.125 (82.868) Epoch: [63][950/11272] Time 0.824 (0.778) Data 0.001 (0.005) Loss 1.7001 (1.7494) Prec@1 53.750 (53.708) Prec@5 83.750 (82.874) Epoch: [63][960/11272] Time 0.798 (0.778) Data 0.002 (0.005) Loss 1.9112 (1.7494) Prec@1 52.500 (53.702) Prec@5 78.750 (82.873) Epoch: [63][970/11272] Time 0.710 (0.778) Data 0.001 (0.005) Loss 1.7964 (1.7502) Prec@1 55.625 (53.686) Prec@5 81.875 (82.853) Epoch: [63][980/11272] Time 0.723 (0.778) Data 0.001 (0.005) Loss 1.8735 (1.7500) Prec@1 53.125 (53.683) Prec@5 78.750 (82.854) Epoch: [63][990/11272] Time 0.821 (0.778) Data 0.001 (0.005) Loss 1.6207 (1.7497) Prec@1 53.125 (53.683) Prec@5 84.375 (82.861) Epoch: [63][1000/11272] Time 0.821 (0.778) Data 0.001 (0.005) Loss 1.6660 (1.7501) Prec@1 56.875 (53.681) Prec@5 86.875 (82.854) Epoch: [63][1010/11272] Time 0.711 (0.778) Data 0.001 (0.004) Loss 1.7967 (1.7501) Prec@1 50.000 (53.688) Prec@5 81.875 (82.854) Epoch: [63][1020/11272] Time 0.755 (0.778) Data 0.002 (0.004) Loss 1.5319 (1.7499) Prec@1 58.125 (53.686) Prec@5 86.250 (82.858) Epoch: [63][1030/11272] Time 0.853 (0.778) Data 0.001 (0.004) Loss 1.9183 (1.7501) Prec@1 48.750 (53.701) Prec@5 78.125 (82.852) Epoch: [63][1040/11272] Time 0.816 (0.778) Data 0.001 (0.004) Loss 1.8609 (1.7507) Prec@1 51.250 (53.691) Prec@5 80.000 (82.836) Epoch: [63][1050/11272] Time 0.735 (0.778) Data 0.001 (0.004) Loss 1.8152 (1.7507) Prec@1 51.875 (53.689) Prec@5 81.250 (82.835) Epoch: [63][1060/11272] Time 0.731 (0.778) Data 0.001 (0.004) Loss 1.6024 (1.7503) Prec@1 55.000 (53.706) Prec@5 85.000 (82.838) Epoch: [63][1070/11272] Time 0.848 (0.778) Data 0.001 (0.004) Loss 1.8757 (1.7507) Prec@1 55.000 (53.711) Prec@5 81.875 (82.831) Epoch: [63][1080/11272] Time 0.732 (0.778) Data 0.001 (0.004) Loss 1.5517 (1.7507) Prec@1 60.000 (53.704) Prec@5 85.000 (82.829) Epoch: [63][1090/11272] Time 0.758 (0.778) Data 0.001 (0.004) Loss 1.6245 (1.7509) Prec@1 57.500 (53.699) Prec@5 86.250 (82.835) Epoch: [63][1100/11272] Time 0.883 (0.778) Data 0.002 (0.004) Loss 2.0042 (1.7510) Prec@1 48.750 (53.710) Prec@5 78.750 (82.826) Epoch: [63][1110/11272] Time 0.818 (0.778) Data 0.001 (0.004) Loss 1.8185 (1.7509) Prec@1 55.625 (53.727) Prec@5 83.125 (82.830) Epoch: [63][1120/11272] Time 0.684 (0.778) Data 0.001 (0.004) Loss 1.6910 (1.7516) Prec@1 58.750 (53.711) Prec@5 84.375 (82.817) Epoch: [63][1130/11272] Time 0.723 (0.777) Data 0.001 (0.004) Loss 1.5618 (1.7517) Prec@1 58.750 (53.704) Prec@5 84.375 (82.811) Epoch: [63][1140/11272] Time 0.844 (0.777) Data 0.002 (0.004) Loss 1.9326 (1.7521) Prec@1 50.625 (53.690) Prec@5 80.625 (82.813) Epoch: [63][1150/11272] Time 0.863 (0.777) Data 0.002 (0.004) Loss 2.0570 (1.7520) Prec@1 49.375 (53.696) Prec@5 77.500 (82.814) Epoch: [63][1160/11272] Time 0.709 (0.777) Data 0.001 (0.004) Loss 1.9184 (1.7521) Prec@1 48.750 (53.696) Prec@5 81.875 (82.805) Epoch: [63][1170/11272] Time 0.702 (0.777) Data 0.001 (0.004) Loss 1.8073 (1.7523) Prec@1 51.875 (53.687) Prec@5 84.375 (82.796) Epoch: [63][1180/11272] Time 0.806 (0.777) Data 0.001 (0.004) Loss 1.8103 (1.7531) Prec@1 54.375 (53.685) Prec@5 80.625 (82.783) Epoch: [63][1190/11272] Time 0.820 (0.777) Data 0.001 (0.004) Loss 1.6612 (1.7528) Prec@1 51.875 (53.677) Prec@5 83.750 (82.788) Epoch: [63][1200/11272] Time 0.721 (0.777) Data 0.001 (0.004) Loss 1.9197 (1.7530) Prec@1 51.250 (53.662) Prec@5 83.750 (82.794) Epoch: [63][1210/11272] Time 0.805 (0.777) Data 0.001 (0.004) Loss 1.6399 (1.7532) Prec@1 54.375 (53.656) Prec@5 85.000 (82.791) Epoch: [63][1220/11272] Time 0.824 (0.777) Data 0.001 (0.004) Loss 1.6209 (1.7536) Prec@1 51.250 (53.637) Prec@5 85.000 (82.780) Epoch: [63][1230/11272] Time 0.719 (0.777) Data 0.001 (0.004) Loss 1.6747 (1.7532) Prec@1 55.000 (53.644) Prec@5 84.375 (82.788) Epoch: [63][1240/11272] Time 0.740 (0.778) Data 0.001 (0.004) Loss 1.8280 (1.7528) Prec@1 54.375 (53.654) Prec@5 79.375 (82.792) Epoch: [63][1250/11272] Time 0.874 (0.778) Data 0.002 (0.004) Loss 1.6913 (1.7525) Prec@1 53.125 (53.659) Prec@5 88.750 (82.800) Epoch: [63][1260/11272] Time 0.854 (0.778) Data 0.001 (0.004) Loss 1.9103 (1.7525) Prec@1 48.750 (53.653) Prec@5 81.250 (82.798) Epoch: [63][1270/11272] Time 0.714 (0.778) Data 0.002 (0.004) Loss 1.6701 (1.7525) Prec@1 56.250 (53.661) Prec@5 86.875 (82.806) Epoch: [63][1280/11272] Time 0.703 (0.777) Data 0.001 (0.004) Loss 1.9033 (1.7523) Prec@1 51.250 (53.659) Prec@5 80.625 (82.805) Epoch: [63][1290/11272] Time 0.852 (0.777) Data 0.001 (0.004) Loss 1.8126 (1.7529) Prec@1 50.625 (53.642) Prec@5 83.125 (82.797) Epoch: [63][1300/11272] Time 0.813 (0.777) Data 0.001 (0.004) Loss 1.7989 (1.7530) Prec@1 53.125 (53.636) Prec@5 81.250 (82.791) Epoch: [63][1310/11272] Time 0.729 (0.777) Data 0.002 (0.004) Loss 1.5030 (1.7531) Prec@1 63.125 (53.642) Prec@5 86.250 (82.787) Epoch: [63][1320/11272] Time 0.700 (0.778) Data 0.001 (0.004) Loss 1.5793 (1.7531) Prec@1 58.125 (53.640) Prec@5 85.000 (82.790) Epoch: [63][1330/11272] Time 0.843 (0.778) Data 0.001 (0.004) Loss 1.7203 (1.7531) Prec@1 51.875 (53.631) Prec@5 82.500 (82.793) Epoch: [63][1340/11272] Time 0.718 (0.777) Data 0.003 (0.004) Loss 1.7290 (1.7532) Prec@1 60.000 (53.628) Prec@5 84.375 (82.797) Epoch: [63][1350/11272] Time 0.740 (0.777) Data 0.002 (0.004) Loss 1.8139 (1.7534) Prec@1 56.875 (53.623) Prec@5 84.375 (82.801) Epoch: [63][1360/11272] Time 0.853 (0.778) Data 0.001 (0.004) Loss 1.6719 (1.7536) Prec@1 56.250 (53.618) Prec@5 83.750 (82.801) Epoch: [63][1370/11272] Time 0.820 (0.778) Data 0.002 (0.004) Loss 1.9259 (1.7538) Prec@1 46.875 (53.616) Prec@5 82.500 (82.795) Epoch: [63][1380/11272] Time 0.747 (0.778) Data 0.002 (0.004) Loss 1.7338 (1.7536) Prec@1 54.375 (53.614) Prec@5 82.500 (82.804) Epoch: [63][1390/11272] Time 0.717 (0.778) Data 0.002 (0.004) Loss 1.9145 (1.7537) Prec@1 50.000 (53.613) Prec@5 81.250 (82.800) Epoch: [63][1400/11272] Time 0.826 (0.778) Data 0.001 (0.004) Loss 1.5888 (1.7533) Prec@1 59.375 (53.622) Prec@5 86.875 (82.812) Epoch: [63][1410/11272] Time 0.815 (0.778) Data 0.001 (0.004) Loss 1.7836 (1.7528) Prec@1 50.625 (53.634) Prec@5 85.000 (82.822) Epoch: [63][1420/11272] Time 0.718 (0.778) Data 0.001 (0.004) Loss 1.5858 (1.7529) Prec@1 58.750 (53.629) Prec@5 88.125 (82.827) Epoch: [63][1430/11272] Time 0.713 (0.778) Data 0.002 (0.004) Loss 1.6256 (1.7530) Prec@1 58.125 (53.626) Prec@5 86.250 (82.821) Epoch: [63][1440/11272] Time 0.812 (0.778) Data 0.001 (0.004) Loss 2.1253 (1.7535) Prec@1 45.625 (53.609) Prec@5 76.250 (82.814) Epoch: [63][1450/11272] Time 0.836 (0.778) Data 0.001 (0.004) Loss 1.6338 (1.7537) Prec@1 60.000 (53.607) Prec@5 86.875 (82.818) Epoch: [63][1460/11272] Time 0.716 (0.778) Data 0.001 (0.004) Loss 1.7196 (1.7533) Prec@1 55.625 (53.612) Prec@5 84.375 (82.822) Epoch: [63][1470/11272] Time 0.864 (0.778) Data 0.001 (0.004) Loss 1.7211 (1.7537) Prec@1 53.125 (53.599) Prec@5 81.250 (82.813) Epoch: [63][1480/11272] Time 0.861 (0.778) Data 0.002 (0.004) Loss 1.5664 (1.7541) Prec@1 54.375 (53.590) Prec@5 86.250 (82.805) Epoch: [63][1490/11272] Time 0.743 (0.778) Data 0.002 (0.004) Loss 1.7464 (1.7544) Prec@1 49.375 (53.587) Prec@5 81.250 (82.792) Epoch: [63][1500/11272] Time 0.733 (0.778) Data 0.001 (0.003) Loss 1.6266 (1.7540) Prec@1 55.625 (53.588) Prec@5 83.125 (82.796) Epoch: [63][1510/11272] Time 0.874 (0.778) Data 0.002 (0.003) Loss 1.9013 (1.7542) Prec@1 50.625 (53.584) Prec@5 79.375 (82.782) Epoch: [63][1520/11272] Time 0.828 (0.778) Data 0.001 (0.003) Loss 1.6481 (1.7542) Prec@1 57.500 (53.587) Prec@5 78.750 (82.775) Epoch: [63][1530/11272] Time 0.744 (0.778) Data 0.002 (0.003) Loss 1.4856 (1.7538) Prec@1 58.750 (53.594) Prec@5 86.875 (82.779) Epoch: [63][1540/11272] Time 0.680 (0.778) Data 0.001 (0.003) Loss 1.5629 (1.7539) Prec@1 57.500 (53.587) Prec@5 86.875 (82.778) Epoch: [63][1550/11272] Time 0.825 (0.778) Data 0.001 (0.003) Loss 1.8951 (1.7539) Prec@1 55.000 (53.597) Prec@5 82.500 (82.778) Epoch: [63][1560/11272] Time 0.836 (0.778) Data 0.001 (0.003) Loss 1.9125 (1.7538) Prec@1 53.125 (53.605) Prec@5 77.500 (82.777) Epoch: [63][1570/11272] Time 0.737 (0.778) Data 0.002 (0.003) Loss 1.7061 (1.7537) Prec@1 54.375 (53.604) Prec@5 83.750 (82.782) Epoch: [63][1580/11272] Time 0.749 (0.778) Data 0.001 (0.003) Loss 1.6079 (1.7536) Prec@1 58.125 (53.606) Prec@5 88.125 (82.782) Epoch: [63][1590/11272] Time 0.817 (0.778) Data 0.001 (0.003) Loss 1.7036 (1.7538) Prec@1 55.000 (53.596) Prec@5 79.375 (82.779) Epoch: [63][1600/11272] Time 0.703 (0.778) Data 0.003 (0.003) Loss 1.7751 (1.7533) Prec@1 53.750 (53.603) Prec@5 83.750 (82.790) Epoch: [63][1610/11272] Time 0.710 (0.778) Data 0.001 (0.003) Loss 1.7427 (1.7534) Prec@1 52.500 (53.603) Prec@5 81.875 (82.784) Epoch: [63][1620/11272] Time 0.846 (0.778) Data 0.001 (0.003) Loss 1.8628 (1.7533) Prec@1 51.875 (53.598) Prec@5 79.375 (82.790) Epoch: [63][1630/11272] Time 0.854 (0.778) Data 0.001 (0.003) Loss 1.6546 (1.7536) Prec@1 56.875 (53.590) Prec@5 83.125 (82.783) Epoch: [63][1640/11272] Time 0.729 (0.778) Data 0.001 (0.003) Loss 1.6822 (1.7537) Prec@1 58.125 (53.593) Prec@5 85.625 (82.789) Epoch: [63][1650/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.9563 (1.7533) Prec@1 55.625 (53.604) Prec@5 80.000 (82.796) Epoch: [63][1660/11272] Time 0.816 (0.778) Data 0.002 (0.003) Loss 1.8304 (1.7535) Prec@1 56.250 (53.604) Prec@5 80.000 (82.788) Epoch: [63][1670/11272] Time 0.817 (0.777) Data 0.001 (0.003) Loss 1.6668 (1.7536) Prec@1 56.875 (53.596) Prec@5 82.500 (82.792) Epoch: [63][1680/11272] Time 0.721 (0.777) Data 0.001 (0.003) Loss 1.9199 (1.7537) Prec@1 45.000 (53.589) Prec@5 83.750 (82.787) Epoch: [63][1690/11272] Time 0.761 (0.777) Data 0.001 (0.003) Loss 1.7046 (1.7533) Prec@1 55.000 (53.600) Prec@5 77.500 (82.786) Epoch: [63][1700/11272] Time 0.817 (0.777) Data 0.001 (0.003) Loss 1.7565 (1.7534) Prec@1 55.625 (53.602) Prec@5 85.000 (82.785) Epoch: [63][1710/11272] Time 0.812 (0.777) Data 0.002 (0.003) Loss 1.6648 (1.7534) Prec@1 55.625 (53.596) Prec@5 84.375 (82.781) Epoch: [63][1720/11272] Time 0.732 (0.777) Data 0.001 (0.003) Loss 1.5389 (1.7535) Prec@1 61.250 (53.603) Prec@5 88.125 (82.778) Epoch: [63][1730/11272] Time 0.844 (0.777) Data 0.001 (0.003) Loss 1.8883 (1.7539) Prec@1 52.500 (53.601) Prec@5 81.250 (82.769) Epoch: [63][1740/11272] Time 0.818 (0.777) Data 0.001 (0.003) Loss 1.7342 (1.7537) Prec@1 52.500 (53.597) Prec@5 83.125 (82.770) Epoch: [63][1750/11272] Time 0.698 (0.777) Data 0.001 (0.003) Loss 1.8569 (1.7535) Prec@1 50.625 (53.602) Prec@5 81.250 (82.773) Epoch: [63][1760/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.6637 (1.7533) Prec@1 51.875 (53.604) Prec@5 86.875 (82.770) Epoch: [63][1770/11272] Time 0.808 (0.777) Data 0.001 (0.003) Loss 1.6651 (1.7532) Prec@1 53.750 (53.601) Prec@5 83.750 (82.772) Epoch: [63][1780/11272] Time 0.840 (0.777) Data 0.001 (0.003) Loss 1.6845 (1.7533) Prec@1 57.500 (53.603) Prec@5 79.375 (82.772) Epoch: [63][1790/11272] Time 0.722 (0.777) Data 0.002 (0.003) Loss 1.8398 (1.7537) Prec@1 49.375 (53.594) Prec@5 83.750 (82.768) Epoch: [63][1800/11272] Time 0.712 (0.777) Data 0.001 (0.003) Loss 1.8954 (1.7540) Prec@1 52.500 (53.584) Prec@5 79.375 (82.763) Epoch: [63][1810/11272] Time 0.860 (0.777) Data 0.001 (0.003) Loss 1.6064 (1.7542) Prec@1 61.250 (53.583) Prec@5 85.000 (82.759) Epoch: [63][1820/11272] Time 0.810 (0.777) Data 0.001 (0.003) Loss 1.5737 (1.7537) Prec@1 57.500 (53.590) Prec@5 85.000 (82.768) Epoch: [63][1830/11272] Time 0.725 (0.777) Data 0.002 (0.003) Loss 1.7790 (1.7536) Prec@1 50.000 (53.586) Prec@5 84.375 (82.770) Epoch: [63][1840/11272] Time 0.728 (0.777) Data 0.002 (0.003) Loss 1.9373 (1.7540) Prec@1 48.125 (53.576) Prec@5 78.750 (82.764) Epoch: [63][1850/11272] Time 0.811 (0.777) Data 0.001 (0.003) Loss 1.6730 (1.7540) Prec@1 53.125 (53.574) Prec@5 85.625 (82.764) Epoch: [63][1860/11272] Time 0.791 (0.777) Data 0.001 (0.003) Loss 1.6214 (1.7539) Prec@1 53.750 (53.571) Prec@5 86.250 (82.764) Epoch: [63][1870/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.9852 (1.7538) Prec@1 49.375 (53.577) Prec@5 80.000 (82.758) Epoch: [63][1880/11272] Time 0.832 (0.777) Data 0.001 (0.003) Loss 1.7722 (1.7537) Prec@1 56.875 (53.573) Prec@5 81.250 (82.756) Epoch: [63][1890/11272] Time 0.861 (0.777) Data 0.001 (0.003) Loss 1.5988 (1.7534) Prec@1 55.000 (53.583) Prec@5 87.500 (82.764) Epoch: [63][1900/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.9183 (1.7537) Prec@1 50.000 (53.575) Prec@5 83.125 (82.758) Epoch: [63][1910/11272] Time 0.750 (0.777) Data 0.001 (0.003) Loss 1.8088 (1.7536) Prec@1 53.125 (53.578) Prec@5 81.250 (82.763) Epoch: [63][1920/11272] Time 0.824 (0.777) Data 0.001 (0.003) Loss 1.9513 (1.7537) Prec@1 50.625 (53.577) Prec@5 80.625 (82.760) Epoch: [63][1930/11272] Time 0.851 (0.777) Data 0.002 (0.003) Loss 1.7111 (1.7537) Prec@1 53.750 (53.577) Prec@5 83.125 (82.755) Epoch: [63][1940/11272] Time 0.727 (0.777) Data 0.001 (0.003) Loss 1.5957 (1.7540) Prec@1 60.625 (53.565) Prec@5 81.250 (82.754) Epoch: [63][1950/11272] Time 0.713 (0.777) Data 0.001 (0.003) Loss 1.5851 (1.7541) Prec@1 59.375 (53.566) Prec@5 86.250 (82.751) Epoch: [63][1960/11272] Time 0.820 (0.777) Data 0.001 (0.003) Loss 1.7611 (1.7539) Prec@1 50.000 (53.569) Prec@5 82.500 (82.758) Epoch: [63][1970/11272] Time 0.821 (0.777) Data 0.001 (0.003) Loss 1.8315 (1.7540) Prec@1 52.500 (53.563) Prec@5 79.375 (82.754) Epoch: [63][1980/11272] Time 0.717 (0.777) Data 0.002 (0.003) Loss 1.6881 (1.7540) Prec@1 56.250 (53.561) Prec@5 86.250 (82.756) Epoch: [63][1990/11272] Time 0.828 (0.777) Data 0.001 (0.003) Loss 1.8358 (1.7537) Prec@1 50.625 (53.573) Prec@5 82.500 (82.759) Epoch: [63][2000/11272] Time 0.828 (0.777) Data 0.001 (0.003) Loss 1.8610 (1.7537) Prec@1 50.625 (53.575) Prec@5 81.250 (82.757) Epoch: [63][2010/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.5154 (1.7536) Prec@1 61.875 (53.580) Prec@5 85.000 (82.751) Epoch: [63][2020/11272] Time 0.712 (0.777) Data 0.001 (0.003) Loss 1.6388 (1.7537) Prec@1 55.000 (53.580) Prec@5 86.250 (82.748) Epoch: [63][2030/11272] Time 0.824 (0.777) Data 0.001 (0.003) Loss 1.7587 (1.7539) Prec@1 51.875 (53.571) Prec@5 85.000 (82.749) Epoch: [63][2040/11272] Time 0.811 (0.777) Data 0.001 (0.003) Loss 1.8053 (1.7541) Prec@1 51.875 (53.569) Prec@5 83.750 (82.742) Epoch: [63][2050/11272] Time 0.711 (0.777) Data 0.002 (0.003) Loss 1.7512 (1.7545) Prec@1 53.750 (53.561) Prec@5 81.875 (82.737) Epoch: [63][2060/11272] Time 0.710 (0.777) Data 0.001 (0.003) Loss 1.8505 (1.7544) Prec@1 54.375 (53.570) Prec@5 77.500 (82.734) Epoch: [63][2070/11272] Time 0.841 (0.777) Data 0.001 (0.003) Loss 1.8957 (1.7545) Prec@1 46.875 (53.561) Prec@5 80.000 (82.731) Epoch: [63][2080/11272] Time 0.803 (0.777) Data 0.001 (0.003) Loss 1.8945 (1.7546) Prec@1 53.125 (53.563) Prec@5 78.125 (82.731) Epoch: [63][2090/11272] Time 0.711 (0.777) Data 0.001 (0.003) Loss 1.7181 (1.7551) Prec@1 54.375 (53.556) Prec@5 80.625 (82.729) Epoch: [63][2100/11272] Time 0.713 (0.777) Data 0.001 (0.003) Loss 1.6344 (1.7551) Prec@1 60.625 (53.562) Prec@5 83.125 (82.725) Epoch: [63][2110/11272] Time 0.844 (0.777) Data 0.001 (0.003) Loss 1.5584 (1.7548) Prec@1 58.125 (53.572) Prec@5 86.250 (82.730) Epoch: [63][2120/11272] Time 0.801 (0.777) Data 0.001 (0.003) Loss 2.0002 (1.7549) Prec@1 45.625 (53.568) Prec@5 78.750 (82.726) Epoch: [63][2130/11272] Time 0.715 (0.777) Data 0.001 (0.003) Loss 1.6570 (1.7551) Prec@1 53.750 (53.561) Prec@5 84.375 (82.724) Epoch: [63][2140/11272] Time 0.823 (0.777) Data 0.001 (0.003) Loss 1.7056 (1.7551) Prec@1 53.750 (53.564) Prec@5 84.375 (82.718) Epoch: [63][2150/11272] Time 0.850 (0.777) Data 0.001 (0.003) Loss 1.9199 (1.7546) Prec@1 49.375 (53.574) Prec@5 79.375 (82.729) Epoch: [63][2160/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.6704 (1.7545) Prec@1 51.250 (53.574) Prec@5 85.625 (82.735) Epoch: [63][2170/11272] Time 0.710 (0.777) Data 0.001 (0.003) Loss 1.7262 (1.7544) Prec@1 53.125 (53.574) Prec@5 83.125 (82.737) Epoch: [63][2180/11272] Time 0.854 (0.777) Data 0.001 (0.003) Loss 1.7125 (1.7542) Prec@1 52.500 (53.576) Prec@5 85.000 (82.742) Epoch: [63][2190/11272] Time 0.817 (0.777) Data 0.001 (0.003) Loss 1.7734 (1.7541) Prec@1 55.625 (53.580) Prec@5 82.500 (82.743) Epoch: [63][2200/11272] Time 0.746 (0.777) Data 0.001 (0.003) Loss 1.8799 (1.7540) Prec@1 49.375 (53.578) Prec@5 80.000 (82.741) Epoch: [63][2210/11272] Time 0.733 (0.777) Data 0.001 (0.003) Loss 1.9849 (1.7545) Prec@1 51.875 (53.573) Prec@5 79.375 (82.735) Epoch: [63][2220/11272] Time 0.808 (0.777) Data 0.001 (0.003) Loss 1.7945 (1.7547) Prec@1 55.000 (53.569) Prec@5 80.000 (82.731) Epoch: [63][2230/11272] Time 0.834 (0.777) Data 0.001 (0.003) Loss 1.9851 (1.7548) Prec@1 51.875 (53.577) Prec@5 78.125 (82.729) Epoch: [63][2240/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.9165 (1.7547) Prec@1 48.125 (53.577) Prec@5 78.750 (82.728) Epoch: [63][2250/11272] Time 0.712 (0.777) Data 0.001 (0.003) Loss 1.6810 (1.7547) Prec@1 56.875 (53.580) Prec@5 81.250 (82.725) Epoch: [63][2260/11272] Time 0.825 (0.777) Data 0.001 (0.003) Loss 1.4502 (1.7547) Prec@1 65.625 (53.578) Prec@5 88.125 (82.722) Epoch: [63][2270/11272] Time 0.706 (0.777) Data 0.003 (0.003) Loss 1.9067 (1.7547) Prec@1 47.500 (53.576) Prec@5 81.250 (82.720) Epoch: [63][2280/11272] Time 0.737 (0.777) Data 0.002 (0.003) Loss 1.6424 (1.7544) Prec@1 53.125 (53.587) Prec@5 86.875 (82.722) Epoch: [63][2290/11272] Time 0.826 (0.777) Data 0.001 (0.003) Loss 1.6032 (1.7541) Prec@1 58.750 (53.593) Prec@5 84.375 (82.723) Epoch: [63][2300/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.8558 (1.7543) Prec@1 53.125 (53.585) Prec@5 82.500 (82.724) Epoch: [63][2310/11272] Time 0.717 (0.777) Data 0.001 (0.003) Loss 1.7537 (1.7540) Prec@1 51.875 (53.592) Prec@5 82.500 (82.730) Epoch: [63][2320/11272] Time 0.732 (0.777) Data 0.001 (0.003) Loss 1.7194 (1.7540) Prec@1 51.250 (53.588) Prec@5 86.875 (82.732) Epoch: [63][2330/11272] Time 0.845 (0.777) Data 0.001 (0.003) Loss 1.6141 (1.7539) Prec@1 57.500 (53.592) Prec@5 84.375 (82.738) Epoch: [63][2340/11272] Time 0.844 (0.777) Data 0.002 (0.003) Loss 1.9712 (1.7542) Prec@1 53.125 (53.585) Prec@5 73.750 (82.728) Epoch: [63][2350/11272] Time 0.700 (0.777) Data 0.001 (0.003) Loss 1.8553 (1.7543) Prec@1 46.875 (53.577) Prec@5 78.125 (82.725) Epoch: [63][2360/11272] Time 0.715 (0.777) Data 0.001 (0.003) Loss 1.8745 (1.7544) Prec@1 54.375 (53.575) Prec@5 81.250 (82.723) Epoch: [63][2370/11272] Time 0.816 (0.777) Data 0.001 (0.003) Loss 1.6191 (1.7544) Prec@1 58.750 (53.572) Prec@5 83.750 (82.726) Epoch: [63][2380/11272] Time 0.820 (0.777) Data 0.001 (0.003) Loss 1.7766 (1.7541) Prec@1 53.750 (53.574) Prec@5 80.625 (82.728) Epoch: [63][2390/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.7087 (1.7537) Prec@1 47.500 (53.578) Prec@5 85.625 (82.732) Epoch: [63][2400/11272] Time 0.815 (0.777) Data 0.001 (0.003) Loss 1.7888 (1.7539) Prec@1 54.375 (53.574) Prec@5 81.875 (82.727) Epoch: [63][2410/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.9071 (1.7540) Prec@1 55.000 (53.573) Prec@5 76.875 (82.726) Epoch: [63][2420/11272] Time 0.718 (0.777) Data 0.001 (0.003) Loss 2.0890 (1.7542) Prec@1 48.125 (53.570) Prec@5 77.500 (82.721) Epoch: [63][2430/11272] Time 0.721 (0.777) Data 0.001 (0.003) Loss 1.6079 (1.7542) Prec@1 59.375 (53.564) Prec@5 85.625 (82.722) Epoch: [63][2440/11272] Time 0.812 (0.777) Data 0.001 (0.003) Loss 1.6976 (1.7543) Prec@1 53.125 (53.557) Prec@5 81.875 (82.720) Epoch: [63][2450/11272] Time 0.812 (0.776) Data 0.001 (0.003) Loss 1.9167 (1.7544) Prec@1 48.750 (53.552) Prec@5 81.875 (82.721) Epoch: [63][2460/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.5494 (1.7543) Prec@1 58.750 (53.554) Prec@5 87.500 (82.727) Epoch: [63][2470/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.6750 (1.7547) Prec@1 53.750 (53.548) Prec@5 83.125 (82.718) Epoch: [63][2480/11272] Time 0.792 (0.776) Data 0.001 (0.003) Loss 1.7997 (1.7547) Prec@1 54.375 (53.547) Prec@5 80.625 (82.715) Epoch: [63][2490/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.6908 (1.7549) Prec@1 52.500 (53.543) Prec@5 87.500 (82.713) Epoch: [63][2500/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.7444 (1.7546) Prec@1 53.125 (53.547) Prec@5 82.500 (82.718) Epoch: [63][2510/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.8821 (1.7549) Prec@1 49.375 (53.542) Prec@5 80.625 (82.714) Epoch: [63][2520/11272] Time 0.810 (0.776) Data 0.002 (0.003) Loss 1.8044 (1.7547) Prec@1 52.500 (53.546) Prec@5 83.125 (82.716) Epoch: [63][2530/11272] Time 0.702 (0.776) Data 0.002 (0.003) Loss 1.7498 (1.7543) Prec@1 54.375 (53.554) Prec@5 83.125 (82.722) Epoch: [63][2540/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.6897 (1.7543) Prec@1 57.500 (53.550) Prec@5 83.750 (82.724) Epoch: [63][2550/11272] Time 0.842 (0.776) Data 0.002 (0.003) Loss 1.6013 (1.7541) Prec@1 56.875 (53.554) Prec@5 85.625 (82.728) Epoch: [63][2560/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.8116 (1.7541) Prec@1 55.000 (53.555) Prec@5 80.625 (82.732) Epoch: [63][2570/11272] Time 0.701 (0.776) Data 0.002 (0.003) Loss 1.4035 (1.7541) Prec@1 60.625 (53.557) Prec@5 89.375 (82.728) Epoch: [63][2580/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.5904 (1.7541) Prec@1 58.750 (53.559) Prec@5 85.625 (82.728) Epoch: [63][2590/11272] Time 0.825 (0.776) Data 0.001 (0.003) Loss 1.6896 (1.7541) Prec@1 51.875 (53.555) Prec@5 85.000 (82.725) Epoch: [63][2600/11272] Time 0.827 (0.776) Data 0.001 (0.003) Loss 1.9478 (1.7542) Prec@1 50.625 (53.555) Prec@5 80.625 (82.726) Epoch: [63][2610/11272] Time 0.712 (0.776) Data 0.001 (0.003) Loss 1.4091 (1.7540) Prec@1 59.375 (53.559) Prec@5 89.375 (82.734) Epoch: [63][2620/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 1.7720 (1.7541) Prec@1 55.000 (53.555) Prec@5 81.250 (82.731) Epoch: [63][2630/11272] Time 0.845 (0.776) Data 0.001 (0.003) Loss 1.7131 (1.7543) Prec@1 55.000 (53.551) Prec@5 86.250 (82.727) Epoch: [63][2640/11272] Time 0.835 (0.776) Data 0.001 (0.003) Loss 1.9345 (1.7546) Prec@1 55.625 (53.550) Prec@5 79.375 (82.724) Epoch: [63][2650/11272] Time 0.736 (0.776) Data 0.001 (0.003) Loss 1.7049 (1.7549) Prec@1 53.750 (53.548) Prec@5 83.125 (82.715) Epoch: [63][2660/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.6164 (1.7550) Prec@1 59.375 (53.539) Prec@5 83.125 (82.713) Epoch: [63][2670/11272] Time 0.837 (0.776) Data 0.001 (0.003) Loss 1.8555 (1.7550) Prec@1 53.125 (53.537) Prec@5 80.625 (82.712) Epoch: [63][2680/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.6608 (1.7550) Prec@1 55.000 (53.537) Prec@5 85.000 (82.710) Epoch: [63][2690/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.8003 (1.7550) Prec@1 51.875 (53.537) Prec@5 83.125 (82.712) Epoch: [63][2700/11272] Time 0.872 (0.776) Data 0.001 (0.003) Loss 1.7301 (1.7549) Prec@1 55.000 (53.536) Prec@5 85.625 (82.718) Epoch: [63][2710/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.6486 (1.7549) Prec@1 58.125 (53.535) Prec@5 85.000 (82.717) Epoch: [63][2720/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.9289 (1.7547) Prec@1 50.000 (53.541) Prec@5 80.625 (82.721) Epoch: [63][2730/11272] Time 0.715 (0.776) Data 0.002 (0.003) Loss 1.6329 (1.7547) Prec@1 53.125 (53.535) Prec@5 83.750 (82.714) Epoch: [63][2740/11272] Time 0.812 (0.776) Data 0.001 (0.003) Loss 1.5967 (1.7546) Prec@1 57.500 (53.532) Prec@5 85.625 (82.716) Epoch: [63][2750/11272] Time 0.839 (0.776) Data 0.001 (0.003) Loss 1.6550 (1.7544) Prec@1 48.125 (53.526) Prec@5 90.000 (82.722) Epoch: [63][2760/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.6807 (1.7543) Prec@1 54.375 (53.531) Prec@5 84.375 (82.723) Epoch: [63][2770/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 1.9075 (1.7542) Prec@1 50.000 (53.532) Prec@5 77.500 (82.725) Epoch: [63][2780/11272] Time 0.847 (0.776) Data 0.001 (0.003) Loss 1.8682 (1.7543) Prec@1 51.875 (53.527) Prec@5 78.750 (82.725) Epoch: [63][2790/11272] Time 0.845 (0.776) Data 0.001 (0.003) Loss 1.6228 (1.7543) Prec@1 57.500 (53.529) Prec@5 81.250 (82.726) Epoch: [63][2800/11272] Time 0.703 (0.776) Data 0.002 (0.003) Loss 1.6785 (1.7543) Prec@1 56.250 (53.531) Prec@5 85.000 (82.726) Epoch: [63][2810/11272] Time 0.867 (0.776) Data 0.001 (0.003) Loss 1.6111 (1.7541) Prec@1 54.375 (53.530) Prec@5 86.875 (82.729) Epoch: [63][2820/11272] Time 0.887 (0.776) Data 0.002 (0.003) Loss 1.7449 (1.7541) Prec@1 59.375 (53.529) Prec@5 81.250 (82.730) Epoch: [63][2830/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.9581 (1.7542) Prec@1 47.500 (53.527) Prec@5 80.625 (82.728) Epoch: [63][2840/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.7852 (1.7543) Prec@1 51.250 (53.525) Prec@5 88.125 (82.726) Epoch: [63][2850/11272] Time 0.784 (0.776) Data 0.001 (0.003) Loss 1.5788 (1.7540) Prec@1 58.125 (53.530) Prec@5 85.000 (82.730) Epoch: [63][2860/11272] Time 0.818 (0.776) Data 0.001 (0.003) Loss 1.8086 (1.7540) Prec@1 55.625 (53.524) Prec@5 79.375 (82.731) Epoch: [63][2870/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 1.8151 (1.7540) Prec@1 50.625 (53.529) Prec@5 81.875 (82.730) Epoch: [63][2880/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8441 (1.7539) Prec@1 47.500 (53.522) Prec@5 83.750 (82.732) Epoch: [63][2890/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.7493 (1.7539) Prec@1 54.375 (53.517) Prec@5 82.500 (82.735) Epoch: [63][2900/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.8120 (1.7539) Prec@1 51.875 (53.518) Prec@5 83.125 (82.733) Epoch: [63][2910/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.9947 (1.7540) Prec@1 50.625 (53.521) Prec@5 79.375 (82.730) Epoch: [63][2920/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6162 (1.7541) Prec@1 55.000 (53.519) Prec@5 84.375 (82.726) Epoch: [63][2930/11272] Time 0.871 (0.776) Data 0.002 (0.002) Loss 1.8829 (1.7541) Prec@1 50.625 (53.520) Prec@5 81.875 (82.727) Epoch: [63][2940/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6349 (1.7537) Prec@1 56.250 (53.526) Prec@5 83.750 (82.734) Epoch: [63][2950/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.5995 (1.7539) Prec@1 57.500 (53.521) Prec@5 85.625 (82.734) Epoch: [63][2960/11272] Time 0.864 (0.776) Data 0.002 (0.002) Loss 1.6951 (1.7538) Prec@1 51.875 (53.522) Prec@5 81.875 (82.735) Epoch: [63][2970/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.7394 (1.7539) Prec@1 56.250 (53.516) Prec@5 80.000 (82.732) Epoch: [63][2980/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8443 (1.7539) Prec@1 50.000 (53.516) Prec@5 83.750 (82.732) Epoch: [63][2990/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.5929 (1.7536) Prec@1 51.250 (53.517) Prec@5 86.875 (82.740) Epoch: [63][3000/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.7535 (1.7536) Prec@1 52.500 (53.517) Prec@5 82.500 (82.743) Epoch: [63][3010/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7982 (1.7536) Prec@1 54.375 (53.519) Prec@5 79.375 (82.741) Epoch: [63][3020/11272] Time 0.705 (0.776) Data 0.002 (0.002) Loss 1.6651 (1.7537) Prec@1 50.625 (53.512) Prec@5 86.250 (82.738) Epoch: [63][3030/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8521 (1.7540) Prec@1 53.750 (53.507) Prec@5 78.750 (82.733) Epoch: [63][3040/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.7675 (1.7539) Prec@1 50.000 (53.506) Prec@5 83.750 (82.733) Epoch: [63][3050/11272] Time 0.824 (0.777) Data 0.001 (0.002) Loss 1.5633 (1.7538) Prec@1 58.125 (53.508) Prec@5 88.125 (82.735) Epoch: [63][3060/11272] Time 0.720 (0.777) Data 0.001 (0.002) Loss 1.6322 (1.7536) Prec@1 58.125 (53.512) Prec@5 85.000 (82.737) Epoch: [63][3070/11272] Time 0.838 (0.777) Data 0.001 (0.002) Loss 1.6323 (1.7539) Prec@1 55.625 (53.506) Prec@5 87.500 (82.731) Epoch: [63][3080/11272] Time 0.807 (0.777) Data 0.001 (0.002) Loss 1.9817 (1.7539) Prec@1 53.125 (53.505) Prec@5 76.875 (82.729) Epoch: [63][3090/11272] Time 0.736 (0.777) Data 0.002 (0.002) Loss 2.0221 (1.7537) Prec@1 51.250 (53.512) Prec@5 77.500 (82.731) Epoch: [63][3100/11272] Time 0.718 (0.777) Data 0.002 (0.002) Loss 1.7328 (1.7539) Prec@1 56.875 (53.509) Prec@5 83.750 (82.731) Epoch: [63][3110/11272] Time 0.865 (0.777) Data 0.002 (0.002) Loss 1.7734 (1.7539) Prec@1 58.125 (53.508) Prec@5 83.750 (82.728) Epoch: [63][3120/11272] Time 0.810 (0.777) Data 0.001 (0.002) Loss 1.6382 (1.7538) Prec@1 58.125 (53.510) Prec@5 86.250 (82.730) Epoch: [63][3130/11272] Time 0.733 (0.777) Data 0.002 (0.002) Loss 1.9398 (1.7539) Prec@1 51.250 (53.509) Prec@5 82.500 (82.728) Epoch: [63][3140/11272] Time 0.707 (0.777) Data 0.002 (0.002) Loss 1.8505 (1.7538) Prec@1 53.125 (53.511) Prec@5 81.875 (82.733) Epoch: [63][3150/11272] Time 0.848 (0.777) Data 0.001 (0.002) Loss 1.9314 (1.7539) Prec@1 54.375 (53.510) Prec@5 76.250 (82.731) Epoch: [63][3160/11272] Time 0.824 (0.777) Data 0.001 (0.002) Loss 1.7844 (1.7540) Prec@1 50.000 (53.508) Prec@5 85.000 (82.731) Epoch: [63][3170/11272] Time 0.714 (0.777) Data 0.002 (0.002) Loss 1.4910 (1.7538) Prec@1 59.375 (53.513) Prec@5 87.500 (82.736) Epoch: [63][3180/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.3906 (1.7536) Prec@1 61.875 (53.514) Prec@5 85.625 (82.739) Epoch: [63][3190/11272] Time 0.808 (0.777) Data 0.001 (0.002) Loss 1.6430 (1.7536) Prec@1 55.000 (53.516) Prec@5 85.000 (82.740) Epoch: [63][3200/11272] Time 0.723 (0.777) Data 0.003 (0.002) Loss 1.8121 (1.7536) Prec@1 55.625 (53.517) Prec@5 76.250 (82.737) Epoch: [63][3210/11272] Time 0.707 (0.777) Data 0.001 (0.002) Loss 1.6938 (1.7536) Prec@1 57.500 (53.516) Prec@5 81.875 (82.734) Epoch: [63][3220/11272] Time 0.825 (0.777) Data 0.002 (0.002) Loss 1.7392 (1.7536) Prec@1 54.375 (53.515) Prec@5 83.125 (82.735) Epoch: [63][3230/11272] Time 0.807 (0.777) Data 0.002 (0.002) Loss 1.7595 (1.7534) Prec@1 55.625 (53.523) Prec@5 82.500 (82.741) Epoch: [63][3240/11272] Time 0.757 (0.777) Data 0.001 (0.002) Loss 1.5901 (1.7532) Prec@1 57.500 (53.528) Prec@5 87.500 (82.748) Epoch: [63][3250/11272] Time 0.721 (0.777) Data 0.001 (0.002) Loss 1.8406 (1.7535) Prec@1 48.125 (53.516) Prec@5 80.000 (82.742) Epoch: [63][3260/11272] Time 0.824 (0.777) Data 0.001 (0.002) Loss 1.6736 (1.7534) Prec@1 59.375 (53.519) Prec@5 81.250 (82.746) Epoch: [63][3270/11272] Time 0.837 (0.777) Data 0.001 (0.002) Loss 1.7507 (1.7532) Prec@1 51.250 (53.523) Prec@5 81.875 (82.748) Epoch: [63][3280/11272] Time 0.728 (0.777) Data 0.001 (0.002) Loss 1.8884 (1.7532) Prec@1 47.500 (53.523) Prec@5 78.750 (82.748) Epoch: [63][3290/11272] Time 0.722 (0.777) Data 0.001 (0.002) Loss 1.8623 (1.7531) Prec@1 53.750 (53.523) Prec@5 83.125 (82.750) Epoch: [63][3300/11272] Time 0.836 (0.777) Data 0.001 (0.002) Loss 1.5339 (1.7531) Prec@1 56.875 (53.521) Prec@5 85.625 (82.751) Epoch: [63][3310/11272] Time 0.829 (0.777) Data 0.001 (0.002) Loss 1.5953 (1.7532) Prec@1 56.875 (53.524) Prec@5 86.875 (82.748) Epoch: [63][3320/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6716 (1.7532) Prec@1 55.000 (53.523) Prec@5 86.875 (82.750) Epoch: [63][3330/11272] Time 0.777 (0.776) Data 0.001 (0.002) Loss 1.6173 (1.7532) Prec@1 52.500 (53.523) Prec@5 84.375 (82.750) Epoch: [63][3340/11272] Time 0.790 (0.776) Data 0.001 (0.002) Loss 1.8570 (1.7532) Prec@1 53.125 (53.523) Prec@5 84.375 (82.748) Epoch: [63][3350/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 2.0937 (1.7535) Prec@1 44.375 (53.513) Prec@5 78.750 (82.745) Epoch: [63][3360/11272] Time 0.739 (0.776) Data 0.002 (0.002) Loss 1.6089 (1.7536) Prec@1 56.875 (53.511) Prec@5 84.375 (82.742) Epoch: [63][3370/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7092 (1.7536) Prec@1 57.500 (53.512) Prec@5 81.875 (82.741) Epoch: [63][3380/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.9102 (1.7536) Prec@1 53.125 (53.516) Prec@5 80.000 (82.739) Epoch: [63][3390/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7341 (1.7537) Prec@1 55.625 (53.510) Prec@5 82.500 (82.738) Epoch: [63][3400/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 2.0797 (1.7539) Prec@1 45.625 (53.507) Prec@5 78.750 (82.736) Epoch: [63][3410/11272] Time 0.902 (0.776) Data 0.002 (0.002) Loss 1.9935 (1.7539) Prec@1 50.625 (53.511) Prec@5 75.625 (82.738) Epoch: [63][3420/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.9478 (1.7538) Prec@1 52.500 (53.511) Prec@5 79.375 (82.738) Epoch: [63][3430/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.7968 (1.7539) Prec@1 51.250 (53.511) Prec@5 80.625 (82.740) Epoch: [63][3440/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7232 (1.7539) Prec@1 56.250 (53.512) Prec@5 81.250 (82.740) Epoch: [63][3450/11272] Time 0.803 (0.776) Data 0.002 (0.002) Loss 1.7104 (1.7538) Prec@1 53.750 (53.513) Prec@5 85.625 (82.741) Epoch: [63][3460/11272] Time 0.731 (0.776) Data 0.003 (0.002) Loss 1.8262 (1.7540) Prec@1 53.750 (53.514) Prec@5 82.500 (82.737) Epoch: [63][3470/11272] Time 0.713 (0.777) Data 0.002 (0.002) Loss 1.6502 (1.7542) Prec@1 55.625 (53.511) Prec@5 84.375 (82.735) Epoch: [63][3480/11272] Time 0.846 (0.777) Data 0.002 (0.002) Loss 1.6889 (1.7541) Prec@1 54.375 (53.514) Prec@5 81.875 (82.736) Epoch: [63][3490/11272] Time 0.881 (0.777) Data 0.001 (0.002) Loss 1.9753 (1.7542) Prec@1 45.625 (53.512) Prec@5 79.375 (82.734) Epoch: [63][3500/11272] Time 0.702 (0.777) Data 0.002 (0.002) Loss 1.7457 (1.7541) Prec@1 50.625 (53.515) Prec@5 84.375 (82.739) Epoch: [63][3510/11272] Time 0.771 (0.777) Data 0.002 (0.002) Loss 1.7648 (1.7543) Prec@1 50.000 (53.510) Prec@5 84.375 (82.736) Epoch: [63][3520/11272] Time 0.869 (0.777) Data 0.002 (0.002) Loss 2.0336 (1.7543) Prec@1 44.375 (53.506) Prec@5 76.875 (82.734) Epoch: [63][3530/11272] Time 0.851 (0.777) Data 0.001 (0.002) Loss 1.7355 (1.7545) Prec@1 51.875 (53.502) Prec@5 86.250 (82.731) Epoch: [63][3540/11272] Time 0.743 (0.777) Data 0.001 (0.002) Loss 1.6956 (1.7547) Prec@1 57.500 (53.497) Prec@5 85.000 (82.727) Epoch: [63][3550/11272] Time 0.732 (0.777) Data 0.002 (0.002) Loss 1.7069 (1.7546) Prec@1 51.875 (53.497) Prec@5 82.500 (82.729) Epoch: [63][3560/11272] Time 0.837 (0.777) Data 0.002 (0.002) Loss 1.7467 (1.7546) Prec@1 53.750 (53.499) Prec@5 83.750 (82.729) Epoch: [63][3570/11272] Time 0.844 (0.777) Data 0.001 (0.002) Loss 1.6353 (1.7546) Prec@1 55.625 (53.497) Prec@5 84.375 (82.730) Epoch: [63][3580/11272] Time 0.738 (0.777) Data 0.002 (0.002) Loss 1.8619 (1.7545) Prec@1 52.500 (53.497) Prec@5 81.250 (82.733) Epoch: [63][3590/11272] Time 0.841 (0.777) Data 0.002 (0.002) Loss 1.7136 (1.7544) Prec@1 51.250 (53.498) Prec@5 83.750 (82.732) Epoch: [63][3600/11272] Time 0.831 (0.777) Data 0.002 (0.002) Loss 1.7413 (1.7542) Prec@1 55.625 (53.499) Prec@5 85.000 (82.733) Epoch: [63][3610/11272] Time 0.737 (0.777) Data 0.002 (0.002) Loss 1.8175 (1.7545) Prec@1 54.375 (53.492) Prec@5 81.875 (82.731) Epoch: [63][3620/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.7861 (1.7546) Prec@1 52.500 (53.496) Prec@5 83.750 (82.729) Epoch: [63][3630/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.8612 (1.7548) Prec@1 50.000 (53.493) Prec@5 80.625 (82.726) Epoch: [63][3640/11272] Time 0.828 (0.777) Data 0.001 (0.002) Loss 2.0326 (1.7547) Prec@1 50.625 (53.497) Prec@5 77.500 (82.726) Epoch: [63][3650/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6497 (1.7548) Prec@1 55.000 (53.491) Prec@5 86.250 (82.723) Epoch: [63][3660/11272] Time 0.737 (0.777) Data 0.001 (0.002) Loss 1.7598 (1.7549) Prec@1 50.625 (53.491) Prec@5 82.500 (82.723) Epoch: [63][3670/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.7412 (1.7551) Prec@1 52.500 (53.489) Prec@5 78.125 (82.717) Epoch: [63][3680/11272] Time 0.818 (0.777) Data 0.001 (0.002) Loss 1.7641 (1.7552) Prec@1 53.750 (53.491) Prec@5 81.875 (82.714) Epoch: [63][3690/11272] Time 0.710 (0.777) Data 0.001 (0.002) Loss 1.8562 (1.7552) Prec@1 50.000 (53.488) Prec@5 81.250 (82.717) Epoch: [63][3700/11272] Time 0.709 (0.777) Data 0.002 (0.002) Loss 1.7622 (1.7551) Prec@1 53.125 (53.493) Prec@5 83.750 (82.720) Epoch: [63][3710/11272] Time 0.806 (0.777) Data 0.001 (0.002) Loss 2.0734 (1.7552) Prec@1 45.625 (53.492) Prec@5 75.625 (82.718) Epoch: [63][3720/11272] Time 0.805 (0.777) Data 0.001 (0.002) Loss 1.7384 (1.7551) Prec@1 55.000 (53.495) Prec@5 81.875 (82.719) Epoch: [63][3730/11272] Time 0.731 (0.777) Data 0.001 (0.002) Loss 1.7342 (1.7550) Prec@1 51.250 (53.493) Prec@5 85.625 (82.722) Epoch: [63][3740/11272] Time 0.851 (0.777) Data 0.001 (0.002) Loss 1.7573 (1.7550) Prec@1 53.125 (53.493) Prec@5 79.375 (82.723) Epoch: [63][3750/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.7301 (1.7550) Prec@1 52.500 (53.497) Prec@5 81.875 (82.724) Epoch: [63][3760/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.7096 (1.7550) Prec@1 56.250 (53.495) Prec@5 84.375 (82.726) Epoch: [63][3770/11272] Time 0.720 (0.777) Data 0.001 (0.002) Loss 1.6119 (1.7551) Prec@1 56.875 (53.492) Prec@5 84.375 (82.724) Epoch: [63][3780/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.6200 (1.7551) Prec@1 56.250 (53.494) Prec@5 83.750 (82.723) Epoch: [63][3790/11272] Time 0.789 (0.777) Data 0.001 (0.002) Loss 1.7985 (1.7551) Prec@1 50.625 (53.492) Prec@5 85.000 (82.723) Epoch: [63][3800/11272] Time 0.690 (0.777) Data 0.001 (0.002) Loss 1.6719 (1.7553) Prec@1 58.750 (53.489) Prec@5 84.375 (82.719) Epoch: [63][3810/11272] Time 0.720 (0.777) Data 0.001 (0.002) Loss 1.8092 (1.7552) Prec@1 53.750 (53.491) Prec@5 80.625 (82.717) Epoch: [63][3820/11272] Time 0.825 (0.777) Data 0.001 (0.002) Loss 1.6401 (1.7552) Prec@1 56.250 (53.491) Prec@5 83.750 (82.717) Epoch: [63][3830/11272] Time 0.854 (0.777) Data 0.001 (0.002) Loss 1.5731 (1.7553) Prec@1 55.625 (53.486) Prec@5 85.000 (82.714) Epoch: [63][3840/11272] Time 0.719 (0.777) Data 0.001 (0.002) Loss 1.9594 (1.7553) Prec@1 47.500 (53.486) Prec@5 81.250 (82.711) Epoch: [63][3850/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.4791 (1.7554) Prec@1 56.250 (53.484) Prec@5 86.875 (82.709) Epoch: [63][3860/11272] Time 0.812 (0.777) Data 0.001 (0.002) Loss 1.8397 (1.7553) Prec@1 54.375 (53.486) Prec@5 82.500 (82.708) Epoch: [63][3870/11272] Time 0.705 (0.777) Data 0.001 (0.002) Loss 1.8257 (1.7554) Prec@1 53.125 (53.486) Prec@5 81.250 (82.709) Epoch: [63][3880/11272] Time 0.752 (0.777) Data 0.001 (0.002) Loss 1.8472 (1.7556) Prec@1 53.750 (53.481) Prec@5 80.625 (82.706) Epoch: [63][3890/11272] Time 0.866 (0.777) Data 0.001 (0.002) Loss 1.8923 (1.7555) Prec@1 46.875 (53.484) Prec@5 81.875 (82.707) Epoch: [63][3900/11272] Time 0.832 (0.777) Data 0.002 (0.002) Loss 1.7200 (1.7554) Prec@1 53.125 (53.486) Prec@5 83.125 (82.708) Epoch: [63][3910/11272] Time 0.691 (0.777) Data 0.001 (0.002) Loss 1.6181 (1.7555) Prec@1 55.625 (53.485) Prec@5 82.500 (82.708) Epoch: [63][3920/11272] Time 0.743 (0.777) Data 0.002 (0.002) Loss 1.5508 (1.7554) Prec@1 56.250 (53.482) Prec@5 85.000 (82.708) Epoch: [63][3930/11272] Time 0.826 (0.777) Data 0.001 (0.002) Loss 1.7246 (1.7553) Prec@1 55.625 (53.486) Prec@5 83.125 (82.712) Epoch: [63][3940/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.8829 (1.7556) Prec@1 52.500 (53.482) Prec@5 79.375 (82.709) Epoch: [63][3950/11272] Time 0.700 (0.777) Data 0.001 (0.002) Loss 1.7400 (1.7553) Prec@1 56.875 (53.488) Prec@5 79.375 (82.713) Epoch: [63][3960/11272] Time 0.720 (0.777) Data 0.001 (0.002) Loss 1.8828 (1.7553) Prec@1 48.125 (53.487) Prec@5 83.125 (82.713) Epoch: [63][3970/11272] Time 0.823 (0.777) Data 0.001 (0.002) Loss 1.8751 (1.7552) Prec@1 46.875 (53.487) Prec@5 78.125 (82.713) Epoch: [63][3980/11272] Time 0.823 (0.777) Data 0.001 (0.002) Loss 1.7406 (1.7554) Prec@1 50.000 (53.483) Prec@5 84.375 (82.710) Epoch: [63][3990/11272] Time 0.698 (0.777) Data 0.001 (0.002) Loss 1.6337 (1.7555) Prec@1 53.750 (53.481) Prec@5 84.375 (82.709) Epoch: [63][4000/11272] Time 0.778 (0.777) Data 0.001 (0.002) Loss 2.0196 (1.7556) Prec@1 50.000 (53.479) Prec@5 79.375 (82.706) Epoch: [63][4010/11272] Time 0.800 (0.777) Data 0.001 (0.002) Loss 1.7351 (1.7554) Prec@1 56.250 (53.482) Prec@5 85.625 (82.712) Epoch: [63][4020/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.4974 (1.7556) Prec@1 57.500 (53.478) Prec@5 85.625 (82.710) Epoch: [63][4030/11272] Time 0.716 (0.777) Data 0.001 (0.002) Loss 1.6387 (1.7554) Prec@1 56.250 (53.477) Prec@5 87.500 (82.714) Epoch: [63][4040/11272] Time 0.858 (0.777) Data 0.001 (0.002) Loss 1.7998 (1.7555) Prec@1 54.375 (53.481) Prec@5 85.000 (82.713) Epoch: [63][4050/11272] Time 0.778 (0.777) Data 0.001 (0.002) Loss 1.7339 (1.7554) Prec@1 53.125 (53.483) Prec@5 84.375 (82.715) Epoch: [63][4060/11272] Time 0.710 (0.777) Data 0.001 (0.002) Loss 1.5368 (1.7554) Prec@1 63.750 (53.484) Prec@5 86.250 (82.715) Epoch: [63][4070/11272] Time 0.706 (0.777) Data 0.001 (0.002) Loss 1.7189 (1.7553) Prec@1 57.500 (53.483) Prec@5 80.625 (82.719) Epoch: [63][4080/11272] Time 0.824 (0.777) Data 0.002 (0.002) Loss 1.8072 (1.7553) Prec@1 51.875 (53.484) Prec@5 81.875 (82.718) Epoch: [63][4090/11272] Time 0.818 (0.777) Data 0.001 (0.002) Loss 1.7018 (1.7552) Prec@1 50.000 (53.481) Prec@5 86.875 (82.718) Epoch: [63][4100/11272] Time 0.717 (0.777) Data 0.002 (0.002) Loss 2.0840 (1.7553) Prec@1 50.625 (53.481) Prec@5 76.875 (82.717) Epoch: [63][4110/11272] Time 0.707 (0.777) Data 0.001 (0.002) Loss 1.9288 (1.7553) Prec@1 48.125 (53.481) Prec@5 79.375 (82.717) Epoch: [63][4120/11272] Time 0.845 (0.777) Data 0.002 (0.002) Loss 1.8874 (1.7552) Prec@1 50.000 (53.486) Prec@5 82.500 (82.720) Epoch: [63][4130/11272] Time 0.716 (0.777) Data 0.003 (0.002) Loss 1.8094 (1.7552) Prec@1 55.625 (53.489) Prec@5 83.125 (82.721) Epoch: [63][4140/11272] Time 0.705 (0.777) Data 0.001 (0.002) Loss 1.7506 (1.7552) Prec@1 53.125 (53.489) Prec@5 81.875 (82.720) Epoch: [63][4150/11272] Time 0.825 (0.777) Data 0.002 (0.002) Loss 1.6691 (1.7551) Prec@1 58.750 (53.496) Prec@5 82.500 (82.719) Epoch: [63][4160/11272] Time 0.813 (0.777) Data 0.001 (0.002) Loss 1.8422 (1.7552) Prec@1 53.125 (53.493) Prec@5 81.875 (82.718) Epoch: [63][4170/11272] Time 0.711 (0.777) Data 0.001 (0.002) Loss 1.7401 (1.7552) Prec@1 53.750 (53.490) Prec@5 82.500 (82.719) Epoch: [63][4180/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.6616 (1.7551) Prec@1 55.000 (53.491) Prec@5 84.375 (82.720) Epoch: [63][4190/11272] Time 0.829 (0.777) Data 0.001 (0.002) Loss 1.8571 (1.7550) Prec@1 47.500 (53.491) Prec@5 80.000 (82.720) Epoch: [63][4200/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.5840 (1.7549) Prec@1 53.750 (53.491) Prec@5 82.500 (82.722) Epoch: [63][4210/11272] Time 0.709 (0.777) Data 0.002 (0.002) Loss 1.8680 (1.7550) Prec@1 50.625 (53.487) Prec@5 82.500 (82.721) Epoch: [63][4220/11272] Time 0.723 (0.777) Data 0.001 (0.002) Loss 1.8731 (1.7550) Prec@1 51.250 (53.487) Prec@5 81.250 (82.718) Epoch: [63][4230/11272] Time 0.872 (0.777) Data 0.001 (0.002) Loss 1.7679 (1.7549) Prec@1 56.250 (53.491) Prec@5 80.625 (82.719) Epoch: [63][4240/11272] Time 0.791 (0.777) Data 0.001 (0.002) Loss 1.5768 (1.7548) Prec@1 56.875 (53.491) Prec@5 82.500 (82.719) Epoch: [63][4250/11272] Time 0.726 (0.777) Data 0.001 (0.002) Loss 1.7419 (1.7548) Prec@1 55.000 (53.489) Prec@5 81.875 (82.718) Epoch: [63][4260/11272] Time 0.811 (0.777) Data 0.001 (0.002) Loss 1.9588 (1.7547) Prec@1 45.000 (53.491) Prec@5 77.500 (82.717) Epoch: [63][4270/11272] Time 0.821 (0.777) Data 0.001 (0.002) Loss 1.6020 (1.7549) Prec@1 58.125 (53.490) Prec@5 86.875 (82.712) Epoch: [63][4280/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.8407 (1.7549) Prec@1 50.625 (53.490) Prec@5 82.500 (82.711) Epoch: [63][4290/11272] Time 0.713 (0.777) Data 0.002 (0.002) Loss 1.6552 (1.7550) Prec@1 57.500 (53.485) Prec@5 86.250 (82.710) Epoch: [63][4300/11272] Time 0.864 (0.777) Data 0.001 (0.002) Loss 1.7412 (1.7549) Prec@1 51.875 (53.487) Prec@5 81.250 (82.710) Epoch: [63][4310/11272] Time 0.814 (0.777) Data 0.001 (0.002) Loss 1.9100 (1.7550) Prec@1 50.625 (53.486) Prec@5 81.875 (82.709) Epoch: [63][4320/11272] Time 0.723 (0.777) Data 0.001 (0.002) Loss 1.6406 (1.7550) Prec@1 58.125 (53.489) Prec@5 85.000 (82.714) Epoch: [63][4330/11272] Time 0.731 (0.777) Data 0.001 (0.002) Loss 1.7747 (1.7549) Prec@1 51.875 (53.487) Prec@5 81.875 (82.716) Epoch: [63][4340/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.6823 (1.7549) Prec@1 51.250 (53.485) Prec@5 87.500 (82.718) Epoch: [63][4350/11272] Time 0.805 (0.777) Data 0.001 (0.002) Loss 1.6341 (1.7548) Prec@1 52.500 (53.487) Prec@5 83.125 (82.717) Epoch: [63][4360/11272] Time 0.736 (0.777) Data 0.001 (0.002) Loss 2.0128 (1.7547) Prec@1 48.750 (53.489) Prec@5 78.750 (82.720) Epoch: [63][4370/11272] Time 0.703 (0.777) Data 0.002 (0.002) Loss 1.7314 (1.7546) Prec@1 53.750 (53.489) Prec@5 84.375 (82.724) Epoch: [63][4380/11272] Time 0.826 (0.777) Data 0.001 (0.002) Loss 1.7652 (1.7546) Prec@1 53.125 (53.491) Prec@5 81.250 (82.724) Epoch: [63][4390/11272] Time 0.711 (0.776) Data 0.003 (0.002) Loss 1.8792 (1.7545) Prec@1 49.375 (53.492) Prec@5 80.000 (82.723) Epoch: [63][4400/11272] Time 0.730 (0.777) Data 0.001 (0.002) Loss 2.0307 (1.7547) Prec@1 48.125 (53.488) Prec@5 77.500 (82.719) Epoch: [63][4410/11272] Time 0.819 (0.777) Data 0.001 (0.002) Loss 1.6212 (1.7548) Prec@1 58.125 (53.488) Prec@5 84.375 (82.716) Epoch: [63][4420/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.5518 (1.7547) Prec@1 61.250 (53.490) Prec@5 86.875 (82.715) Epoch: [63][4430/11272] Time 0.736 (0.777) Data 0.001 (0.002) Loss 1.7169 (1.7548) Prec@1 51.875 (53.490) Prec@5 80.625 (82.714) Epoch: [63][4440/11272] Time 0.746 (0.777) Data 0.001 (0.002) Loss 1.5797 (1.7547) Prec@1 57.500 (53.491) Prec@5 82.500 (82.711) Epoch: [63][4450/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.8253 (1.7547) Prec@1 53.125 (53.493) Prec@5 81.250 (82.714) Epoch: [63][4460/11272] Time 0.842 (0.777) Data 0.001 (0.002) Loss 1.9865 (1.7546) Prec@1 51.250 (53.494) Prec@5 81.250 (82.715) Epoch: [63][4470/11272] Time 0.724 (0.777) Data 0.001 (0.002) Loss 1.6472 (1.7547) Prec@1 55.625 (53.495) Prec@5 83.750 (82.713) Epoch: [63][4480/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.7022 (1.7547) Prec@1 53.750 (53.496) Prec@5 83.125 (82.712) Epoch: [63][4490/11272] Time 0.831 (0.777) Data 0.001 (0.002) Loss 1.6788 (1.7547) Prec@1 54.375 (53.496) Prec@5 81.875 (82.712) Epoch: [63][4500/11272] Time 0.828 (0.777) Data 0.001 (0.002) Loss 1.7219 (1.7549) Prec@1 55.000 (53.489) Prec@5 81.875 (82.707) Epoch: [63][4510/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.5299 (1.7550) Prec@1 59.375 (53.486) Prec@5 86.250 (82.704) Epoch: [63][4520/11272] Time 0.770 (0.776) Data 0.001 (0.002) Loss 1.7418 (1.7549) Prec@1 52.500 (53.485) Prec@5 80.625 (82.704) Epoch: [63][4530/11272] Time 0.857 (0.776) Data 0.002 (0.002) Loss 1.4545 (1.7548) Prec@1 63.125 (53.490) Prec@5 85.000 (82.707) Epoch: [63][4540/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6769 (1.7548) Prec@1 52.500 (53.490) Prec@5 84.375 (82.706) Epoch: [63][4550/11272] Time 0.737 (0.776) Data 0.002 (0.002) Loss 1.7597 (1.7549) Prec@1 55.625 (53.488) Prec@5 80.000 (82.707) Epoch: [63][4560/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.8642 (1.7550) Prec@1 51.250 (53.483) Prec@5 80.625 (82.704) Epoch: [63][4570/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.7348 (1.7549) Prec@1 55.625 (53.484) Prec@5 86.250 (82.708) Epoch: [63][4580/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.6533 (1.7549) Prec@1 55.000 (53.485) Prec@5 82.500 (82.708) Epoch: [63][4590/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7847 (1.7549) Prec@1 52.500 (53.484) Prec@5 81.875 (82.709) Epoch: [63][4600/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.9048 (1.7550) Prec@1 56.250 (53.486) Prec@5 78.125 (82.708) Epoch: [63][4610/11272] Time 0.852 (0.776) Data 0.002 (0.002) Loss 1.5000 (1.7548) Prec@1 56.875 (53.487) Prec@5 89.375 (82.711) Epoch: [63][4620/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.6715 (1.7547) Prec@1 55.625 (53.491) Prec@5 84.375 (82.712) Epoch: [63][4630/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6581 (1.7546) Prec@1 53.125 (53.495) Prec@5 81.250 (82.711) Epoch: [63][4640/11272] Time 0.806 (0.777) Data 0.002 (0.002) Loss 1.9556 (1.7545) Prec@1 50.625 (53.500) Prec@5 81.250 (82.712) Epoch: [63][4650/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.6812 (1.7546) Prec@1 49.375 (53.496) Prec@5 85.625 (82.713) Epoch: [63][4660/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.4424 (1.7544) Prec@1 60.000 (53.504) Prec@5 86.250 (82.716) Epoch: [63][4670/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5587 (1.7542) Prec@1 53.750 (53.507) Prec@5 86.875 (82.718) Epoch: [63][4680/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.7392 (1.7541) Prec@1 57.500 (53.511) Prec@5 80.000 (82.717) Epoch: [63][4690/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.7081 (1.7539) Prec@1 56.250 (53.515) Prec@5 83.750 (82.720) Epoch: [63][4700/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.7561 (1.7540) Prec@1 56.250 (53.516) Prec@5 83.125 (82.720) Epoch: [63][4710/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.6515 (1.7540) Prec@1 58.750 (53.516) Prec@5 88.750 (82.719) Epoch: [63][4720/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.6243 (1.7541) Prec@1 55.000 (53.514) Prec@5 86.250 (82.717) Epoch: [63][4730/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.8577 (1.7540) Prec@1 48.125 (53.519) Prec@5 78.125 (82.720) Epoch: [63][4740/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7873 (1.7539) Prec@1 53.125 (53.517) Prec@5 84.375 (82.720) Epoch: [63][4750/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.7188 (1.7539) Prec@1 52.500 (53.519) Prec@5 80.000 (82.719) Epoch: [63][4760/11272] Time 0.841 (0.776) Data 0.001 (0.002) Loss 1.8771 (1.7541) Prec@1 47.500 (53.517) Prec@5 81.250 (82.716) Epoch: [63][4770/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.7917 (1.7541) Prec@1 58.750 (53.518) Prec@5 81.875 (82.717) Epoch: [63][4780/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7057 (1.7539) Prec@1 54.375 (53.519) Prec@5 83.750 (82.720) Epoch: [63][4790/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6546 (1.7539) Prec@1 56.250 (53.520) Prec@5 84.375 (82.721) Epoch: [63][4800/11272] Time 0.717 (0.777) Data 0.001 (0.002) Loss 1.9894 (1.7538) Prec@1 47.500 (53.523) Prec@5 76.875 (82.723) Epoch: [63][4810/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.6970 (1.7539) Prec@1 54.375 (53.520) Prec@5 85.625 (82.721) Epoch: [63][4820/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.9368 (1.7540) Prec@1 50.625 (53.519) Prec@5 80.625 (82.721) Epoch: [63][4830/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.7452 (1.7540) Prec@1 53.125 (53.516) Prec@5 86.875 (82.721) Epoch: [63][4840/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.8468 (1.7539) Prec@1 56.250 (53.517) Prec@5 80.625 (82.722) Epoch: [63][4850/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6777 (1.7539) Prec@1 54.375 (53.519) Prec@5 83.125 (82.721) Epoch: [63][4860/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.5630 (1.7541) Prec@1 57.500 (53.513) Prec@5 84.375 (82.718) Epoch: [63][4870/11272] Time 0.868 (0.776) Data 0.002 (0.002) Loss 1.8422 (1.7542) Prec@1 52.500 (53.512) Prec@5 82.500 (82.717) Epoch: [63][4880/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.5471 (1.7540) Prec@1 58.750 (53.512) Prec@5 85.625 (82.721) Epoch: [63][4890/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 2.0401 (1.7542) Prec@1 48.750 (53.508) Prec@5 78.125 (82.720) Epoch: [63][4900/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.6038 (1.7540) Prec@1 56.250 (53.514) Prec@5 85.625 (82.724) Epoch: [63][4910/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7910 (1.7539) Prec@1 50.625 (53.514) Prec@5 83.750 (82.727) Epoch: [63][4920/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.6825 (1.7538) Prec@1 55.000 (53.517) Prec@5 81.250 (82.727) Epoch: [63][4930/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.6036 (1.7537) Prec@1 59.375 (53.518) Prec@5 85.000 (82.730) Epoch: [63][4940/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.5125 (1.7536) Prec@1 65.000 (53.519) Prec@5 90.000 (82.734) Epoch: [63][4950/11272] Time 0.734 (0.776) Data 0.001 (0.002) Loss 1.7485 (1.7536) Prec@1 53.750 (53.519) Prec@5 83.750 (82.735) Epoch: [63][4960/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.7932 (1.7536) Prec@1 53.125 (53.519) Prec@5 79.375 (82.735) Epoch: [63][4970/11272] Time 0.879 (0.776) Data 0.001 (0.002) Loss 1.7718 (1.7535) Prec@1 51.250 (53.519) Prec@5 83.125 (82.736) Epoch: [63][4980/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7578 (1.7534) Prec@1 54.375 (53.523) Prec@5 81.875 (82.736) Epoch: [63][4990/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7705 (1.7534) Prec@1 48.750 (53.524) Prec@5 83.750 (82.737) Epoch: [63][5000/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.9425 (1.7536) Prec@1 50.625 (53.522) Prec@5 78.750 (82.735) Epoch: [63][5010/11272] Time 0.816 (0.776) Data 0.002 (0.002) Loss 1.4702 (1.7536) Prec@1 61.250 (53.524) Prec@5 88.125 (82.736) Epoch: [63][5020/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.7568 (1.7536) Prec@1 54.375 (53.522) Prec@5 79.375 (82.736) Epoch: [63][5030/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8312 (1.7537) Prec@1 46.875 (53.522) Prec@5 85.625 (82.734) Epoch: [63][5040/11272] Time 0.683 (0.776) Data 0.001 (0.002) Loss 1.7830 (1.7536) Prec@1 50.625 (53.525) Prec@5 84.375 (82.735) Epoch: [63][5050/11272] Time 0.824 (0.777) Data 0.002 (0.002) Loss 1.8331 (1.7536) Prec@1 54.375 (53.524) Prec@5 83.125 (82.737) Epoch: [63][5060/11272] Time 0.730 (0.776) Data 0.003 (0.002) Loss 1.6317 (1.7537) Prec@1 58.750 (53.522) Prec@5 85.000 (82.738) Epoch: [63][5070/11272] Time 0.753 (0.777) Data 0.001 (0.002) Loss 1.9049 (1.7537) Prec@1 50.625 (53.523) Prec@5 78.125 (82.737) Epoch: [63][5080/11272] Time 0.843 (0.777) Data 0.001 (0.002) Loss 1.7679 (1.7538) Prec@1 56.875 (53.524) Prec@5 81.875 (82.735) Epoch: [63][5090/11272] Time 0.875 (0.777) Data 0.002 (0.002) Loss 1.7191 (1.7539) Prec@1 54.375 (53.521) Prec@5 85.625 (82.735) Epoch: [63][5100/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6899 (1.7538) Prec@1 56.875 (53.520) Prec@5 84.375 (82.735) Epoch: [63][5110/11272] Time 0.712 (0.777) Data 0.002 (0.002) Loss 1.5804 (1.7539) Prec@1 60.625 (53.519) Prec@5 82.500 (82.733) Epoch: [63][5120/11272] Time 0.817 (0.777) Data 0.001 (0.002) Loss 1.5667 (1.7540) Prec@1 55.000 (53.517) Prec@5 83.750 (82.733) Epoch: [63][5130/11272] Time 0.804 (0.777) Data 0.001 (0.002) Loss 1.9776 (1.7540) Prec@1 49.375 (53.515) Prec@5 77.500 (82.732) Epoch: [63][5140/11272] Time 0.759 (0.777) Data 0.002 (0.002) Loss 1.7909 (1.7539) Prec@1 48.750 (53.517) Prec@5 81.875 (82.732) Epoch: [63][5150/11272] Time 0.736 (0.777) Data 0.001 (0.002) Loss 1.8311 (1.7540) Prec@1 48.125 (53.517) Prec@5 83.125 (82.731) Epoch: [63][5160/11272] Time 0.852 (0.777) Data 0.001 (0.002) Loss 1.8210 (1.7539) Prec@1 51.875 (53.513) Prec@5 78.750 (82.731) Epoch: [63][5170/11272] Time 0.838 (0.777) Data 0.001 (0.002) Loss 1.9430 (1.7540) Prec@1 50.000 (53.511) Prec@5 80.000 (82.731) Epoch: [63][5180/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6175 (1.7540) Prec@1 53.750 (53.512) Prec@5 89.375 (82.732) Epoch: [63][5190/11272] Time 0.792 (0.777) Data 0.001 (0.002) Loss 1.8073 (1.7540) Prec@1 51.250 (53.510) Prec@5 85.000 (82.733) Epoch: [63][5200/11272] Time 0.845 (0.777) Data 0.001 (0.002) Loss 1.8508 (1.7540) Prec@1 54.375 (53.513) Prec@5 80.625 (82.731) Epoch: [63][5210/11272] Time 0.733 (0.777) Data 0.001 (0.002) Loss 1.8856 (1.7541) Prec@1 49.375 (53.511) Prec@5 80.000 (82.729) Epoch: [63][5220/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 2.2733 (1.7542) Prec@1 46.250 (53.509) Prec@5 75.000 (82.728) Epoch: [63][5230/11272] Time 0.830 (0.777) Data 0.001 (0.002) Loss 1.9478 (1.7542) Prec@1 46.250 (53.509) Prec@5 81.875 (82.727) Epoch: [63][5240/11272] Time 0.833 (0.777) Data 0.002 (0.002) Loss 1.8179 (1.7543) Prec@1 53.125 (53.509) Prec@5 82.500 (82.724) Epoch: [63][5250/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.9329 (1.7543) Prec@1 53.750 (53.509) Prec@5 78.125 (82.724) Epoch: [63][5260/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.6546 (1.7543) Prec@1 53.125 (53.508) Prec@5 83.125 (82.724) Epoch: [63][5270/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.7022 (1.7544) Prec@1 52.500 (53.505) Prec@5 80.000 (82.722) Epoch: [63][5280/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8924 (1.7545) Prec@1 55.625 (53.505) Prec@5 77.500 (82.720) Epoch: [63][5290/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7341 (1.7544) Prec@1 50.000 (53.506) Prec@5 85.625 (82.721) Epoch: [63][5300/11272] Time 0.695 (0.776) Data 0.001 (0.002) Loss 1.9607 (1.7544) Prec@1 52.500 (53.504) Prec@5 78.750 (82.724) Epoch: [63][5310/11272] Time 0.814 (0.777) Data 0.001 (0.002) Loss 1.6770 (1.7543) Prec@1 59.375 (53.505) Prec@5 81.875 (82.725) Epoch: [63][5320/11272] Time 0.705 (0.776) Data 0.003 (0.002) Loss 1.7136 (1.7543) Prec@1 55.000 (53.506) Prec@5 84.375 (82.723) Epoch: [63][5330/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.6311 (1.7543) Prec@1 59.375 (53.506) Prec@5 85.000 (82.723) Epoch: [63][5340/11272] Time 0.855 (0.776) Data 0.001 (0.002) Loss 1.9543 (1.7545) Prec@1 51.250 (53.503) Prec@5 75.000 (82.719) Epoch: [63][5350/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6254 (1.7544) Prec@1 51.875 (53.502) Prec@5 88.750 (82.721) Epoch: [63][5360/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.7206 (1.7544) Prec@1 55.000 (53.502) Prec@5 81.875 (82.720) Epoch: [63][5370/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8920 (1.7544) Prec@1 51.250 (53.504) Prec@5 78.750 (82.720) Epoch: [63][5380/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.6670 (1.7544) Prec@1 59.375 (53.506) Prec@5 80.000 (82.720) Epoch: [63][5390/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 2.0281 (1.7545) Prec@1 49.375 (53.505) Prec@5 79.375 (82.719) Epoch: [63][5400/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.8451 (1.7545) Prec@1 50.000 (53.504) Prec@5 81.875 (82.718) Epoch: [63][5410/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.7467 (1.7545) Prec@1 51.875 (53.505) Prec@5 85.000 (82.718) Epoch: [63][5420/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7250 (1.7544) Prec@1 50.625 (53.505) Prec@5 85.000 (82.721) Epoch: [63][5430/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.6265 (1.7544) Prec@1 55.000 (53.504) Prec@5 83.750 (82.720) Epoch: [63][5440/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.8252 (1.7545) Prec@1 48.750 (53.502) Prec@5 79.375 (82.720) Epoch: [63][5450/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.8698 (1.7544) Prec@1 50.625 (53.501) Prec@5 81.875 (82.722) Epoch: [63][5460/11272] Time 0.868 (0.776) Data 0.002 (0.002) Loss 1.6341 (1.7543) Prec@1 60.000 (53.503) Prec@5 83.125 (82.724) Epoch: [63][5470/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.4310 (1.7542) Prec@1 60.000 (53.510) Prec@5 88.750 (82.726) Epoch: [63][5480/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6141 (1.7541) Prec@1 58.125 (53.514) Prec@5 86.250 (82.729) Epoch: [63][5490/11272] Time 0.821 (0.776) Data 0.002 (0.002) Loss 1.9564 (1.7542) Prec@1 48.750 (53.513) Prec@5 84.375 (82.728) Epoch: [63][5500/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.6650 (1.7541) Prec@1 53.125 (53.512) Prec@5 81.875 (82.730) Epoch: [63][5510/11272] Time 0.745 (0.776) Data 0.002 (0.002) Loss 1.8709 (1.7541) Prec@1 49.375 (53.513) Prec@5 82.500 (82.729) Epoch: [63][5520/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7264 (1.7542) Prec@1 53.125 (53.511) Prec@5 84.375 (82.728) Epoch: [63][5530/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.7982 (1.7543) Prec@1 55.625 (53.507) Prec@5 80.625 (82.728) Epoch: [63][5540/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.7588 (1.7543) Prec@1 55.000 (53.507) Prec@5 80.625 (82.726) Epoch: [63][5550/11272] Time 0.744 (0.776) Data 0.001 (0.002) Loss 1.5090 (1.7544) Prec@1 60.000 (53.504) Prec@5 88.125 (82.725) Epoch: [63][5560/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.8879 (1.7545) Prec@1 55.625 (53.502) Prec@5 78.750 (82.724) Epoch: [63][5570/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7835 (1.7544) Prec@1 53.750 (53.505) Prec@5 78.750 (82.724) Epoch: [63][5580/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.8545 (1.7545) Prec@1 53.125 (53.504) Prec@5 80.000 (82.721) Epoch: [63][5590/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.9434 (1.7545) Prec@1 53.750 (53.505) Prec@5 80.000 (82.722) Epoch: [63][5600/11272] Time 0.869 (0.776) Data 0.001 (0.002) Loss 1.7776 (1.7545) Prec@1 53.750 (53.508) Prec@5 81.250 (82.722) Epoch: [63][5610/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 1.4510 (1.7544) Prec@1 57.500 (53.510) Prec@5 86.250 (82.726) Epoch: [63][5620/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.6645 (1.7543) Prec@1 54.375 (53.513) Prec@5 84.375 (82.726) Epoch: [63][5630/11272] Time 0.749 (0.776) Data 0.002 (0.002) Loss 1.5588 (1.7543) Prec@1 61.875 (53.515) Prec@5 84.375 (82.726) Epoch: [63][5640/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6795 (1.7543) Prec@1 58.125 (53.517) Prec@5 81.875 (82.726) Epoch: [63][5650/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.8123 (1.7544) Prec@1 53.750 (53.516) Prec@5 82.500 (82.725) Epoch: [63][5660/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8477 (1.7542) Prec@1 49.375 (53.519) Prec@5 80.000 (82.728) Epoch: [63][5670/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.9133 (1.7541) Prec@1 50.625 (53.521) Prec@5 81.875 (82.731) Epoch: [63][5680/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.6135 (1.7542) Prec@1 60.000 (53.521) Prec@5 84.375 (82.730) Epoch: [63][5690/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7223 (1.7541) Prec@1 51.250 (53.522) Prec@5 86.250 (82.733) Epoch: [63][5700/11272] Time 0.773 (0.776) Data 0.001 (0.002) Loss 1.5227 (1.7541) Prec@1 61.250 (53.523) Prec@5 83.750 (82.734) Epoch: [63][5710/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6210 (1.7542) Prec@1 53.750 (53.520) Prec@5 85.625 (82.733) Epoch: [63][5720/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.5126 (1.7542) Prec@1 54.375 (53.519) Prec@5 88.750 (82.733) Epoch: [63][5730/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.9386 (1.7543) Prec@1 48.125 (53.517) Prec@5 80.625 (82.732) Epoch: [63][5740/11272] Time 0.738 (0.776) Data 0.002 (0.002) Loss 1.7632 (1.7543) Prec@1 55.625 (53.518) Prec@5 81.875 (82.731) Epoch: [63][5750/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.8738 (1.7545) Prec@1 50.625 (53.513) Prec@5 79.375 (82.727) Epoch: [63][5760/11272] Time 0.862 (0.776) Data 0.002 (0.002) Loss 1.8050 (1.7546) Prec@1 51.875 (53.514) Prec@5 81.875 (82.727) Epoch: [63][5770/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6311 (1.7546) Prec@1 51.875 (53.516) Prec@5 85.000 (82.727) Epoch: [63][5780/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.7035 (1.7546) Prec@1 59.375 (53.516) Prec@5 81.875 (82.728) Epoch: [63][5790/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7121 (1.7545) Prec@1 51.250 (53.517) Prec@5 85.625 (82.728) Epoch: [63][5800/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.9370 (1.7545) Prec@1 54.375 (53.516) Prec@5 82.500 (82.727) Epoch: [63][5810/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.5739 (1.7544) Prec@1 56.875 (53.517) Prec@5 85.625 (82.729) Epoch: [63][5820/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.4482 (1.7544) Prec@1 60.000 (53.518) Prec@5 88.750 (82.731) Epoch: [63][5830/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.4790 (1.7543) Prec@1 62.500 (53.520) Prec@5 87.500 (82.733) Epoch: [63][5840/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.7783 (1.7542) Prec@1 52.500 (53.524) Prec@5 83.125 (82.735) Epoch: [63][5850/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.8542 (1.7542) Prec@1 54.375 (53.525) Prec@5 83.125 (82.735) Epoch: [63][5860/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.5968 (1.7543) Prec@1 56.250 (53.523) Prec@5 82.500 (82.733) Epoch: [63][5870/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 2.0267 (1.7543) Prec@1 48.125 (53.523) Prec@5 73.750 (82.732) Epoch: [63][5880/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.6727 (1.7542) Prec@1 53.750 (53.524) Prec@5 81.875 (82.733) Epoch: [63][5890/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.8593 (1.7542) Prec@1 43.125 (53.524) Prec@5 81.250 (82.733) Epoch: [63][5900/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.8898 (1.7542) Prec@1 50.625 (53.523) Prec@5 80.000 (82.731) Epoch: [63][5910/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.7567 (1.7542) Prec@1 47.500 (53.523) Prec@5 84.375 (82.729) Epoch: [63][5920/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.9612 (1.7542) Prec@1 49.375 (53.521) Prec@5 77.500 (82.730) Epoch: [63][5930/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8848 (1.7542) Prec@1 55.625 (53.521) Prec@5 78.125 (82.730) Epoch: [63][5940/11272] Time 0.852 (0.776) Data 0.002 (0.002) Loss 1.8103 (1.7543) Prec@1 55.000 (53.521) Prec@5 83.125 (82.731) Epoch: [63][5950/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.9488 (1.7544) Prec@1 50.625 (53.520) Prec@5 80.000 (82.730) Epoch: [63][5960/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.7869 (1.7543) Prec@1 47.500 (53.518) Prec@5 84.375 (82.733) Epoch: [63][5970/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.7224 (1.7545) Prec@1 56.250 (53.516) Prec@5 80.000 (82.730) Epoch: [63][5980/11272] Time 0.862 (0.776) Data 0.002 (0.002) Loss 1.7768 (1.7546) Prec@1 55.000 (53.514) Prec@5 83.125 (82.728) Epoch: [63][5990/11272] Time 0.758 (0.776) Data 0.004 (0.002) Loss 1.6905 (1.7546) Prec@1 51.250 (53.512) Prec@5 84.375 (82.728) Epoch: [63][6000/11272] Time 0.696 (0.776) Data 0.001 (0.002) Loss 1.7136 (1.7546) Prec@1 51.875 (53.509) Prec@5 81.875 (82.728) Epoch: [63][6010/11272] Time 0.809 (0.776) Data 0.002 (0.002) Loss 1.6803 (1.7545) Prec@1 53.125 (53.511) Prec@5 83.750 (82.728) Epoch: [63][6020/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.6009 (1.7546) Prec@1 53.750 (53.511) Prec@5 88.125 (82.730) Epoch: [63][6030/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.5231 (1.7546) Prec@1 55.000 (53.512) Prec@5 89.375 (82.728) Epoch: [63][6040/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 2.1195 (1.7547) Prec@1 48.750 (53.512) Prec@5 76.250 (82.726) Epoch: [63][6050/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.8176 (1.7547) Prec@1 51.875 (53.513) Prec@5 81.875 (82.727) Epoch: [63][6060/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.7137 (1.7547) Prec@1 53.750 (53.512) Prec@5 79.375 (82.727) Epoch: [63][6070/11272] Time 0.729 (0.776) Data 0.003 (0.002) Loss 1.7827 (1.7547) Prec@1 53.125 (53.510) Prec@5 81.875 (82.728) Epoch: [63][6080/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7994 (1.7546) Prec@1 52.500 (53.510) Prec@5 85.625 (82.729) Epoch: [63][6090/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.6749 (1.7547) Prec@1 57.500 (53.510) Prec@5 81.875 (82.729) Epoch: [63][6100/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.8298 (1.7547) Prec@1 49.375 (53.510) Prec@5 85.000 (82.730) Epoch: [63][6110/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6941 (1.7547) Prec@1 56.250 (53.509) Prec@5 80.000 (82.728) Epoch: [63][6120/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.7974 (1.7547) Prec@1 51.250 (53.510) Prec@5 80.625 (82.726) Epoch: [63][6130/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7513 (1.7547) Prec@1 53.750 (53.508) Prec@5 83.750 (82.725) Epoch: [63][6140/11272] Time 0.749 (0.776) Data 0.002 (0.002) Loss 1.6594 (1.7547) Prec@1 55.625 (53.508) Prec@5 83.125 (82.725) Epoch: [63][6150/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.8823 (1.7547) Prec@1 50.000 (53.507) Prec@5 81.875 (82.724) Epoch: [63][6160/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.6621 (1.7547) Prec@1 54.375 (53.507) Prec@5 83.750 (82.723) Epoch: [63][6170/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.5693 (1.7547) Prec@1 53.750 (53.506) Prec@5 85.625 (82.722) Epoch: [63][6180/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.8463 (1.7547) Prec@1 53.750 (53.506) Prec@5 81.875 (82.723) Epoch: [63][6190/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.8594 (1.7547) Prec@1 53.750 (53.507) Prec@5 82.500 (82.725) Epoch: [63][6200/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 1.5276 (1.7546) Prec@1 61.250 (53.510) Prec@5 85.625 (82.727) Epoch: [63][6210/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.7860 (1.7547) Prec@1 52.500 (53.508) Prec@5 85.625 (82.726) Epoch: [63][6220/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.4915 (1.7546) Prec@1 58.125 (53.509) Prec@5 88.750 (82.728) Epoch: [63][6230/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8091 (1.7545) Prec@1 52.500 (53.508) Prec@5 82.500 (82.730) Epoch: [63][6240/11272] Time 0.779 (0.776) Data 0.001 (0.002) Loss 1.5090 (1.7546) Prec@1 53.125 (53.508) Prec@5 86.250 (82.728) Epoch: [63][6250/11272] Time 0.711 (0.776) Data 0.003 (0.002) Loss 1.8093 (1.7546) Prec@1 52.500 (53.509) Prec@5 80.625 (82.727) Epoch: [63][6260/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6501 (1.7545) Prec@1 58.125 (53.511) Prec@5 84.375 (82.728) Epoch: [63][6270/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.7645 (1.7545) Prec@1 57.500 (53.511) Prec@5 82.500 (82.728) Epoch: [63][6280/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.6506 (1.7545) Prec@1 58.125 (53.512) Prec@5 87.500 (82.727) Epoch: [63][6290/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.7583 (1.7546) Prec@1 54.375 (53.510) Prec@5 82.500 (82.725) Epoch: [63][6300/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.7756 (1.7546) Prec@1 52.500 (53.507) Prec@5 83.125 (82.723) Epoch: [63][6310/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.4623 (1.7545) Prec@1 58.125 (53.508) Prec@5 88.125 (82.725) Epoch: [63][6320/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.6697 (1.7545) Prec@1 53.750 (53.509) Prec@5 82.500 (82.727) Epoch: [63][6330/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.7917 (1.7545) Prec@1 55.000 (53.509) Prec@5 80.000 (82.726) Epoch: [63][6340/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.8969 (1.7546) Prec@1 50.625 (53.506) Prec@5 78.125 (82.725) Epoch: [63][6350/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.6215 (1.7546) Prec@1 53.750 (53.507) Prec@5 84.375 (82.724) Epoch: [63][6360/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.7088 (1.7546) Prec@1 55.625 (53.507) Prec@5 83.750 (82.725) Epoch: [63][6370/11272] Time 0.758 (0.776) Data 0.002 (0.002) Loss 1.8846 (1.7545) Prec@1 45.000 (53.509) Prec@5 78.750 (82.725) Epoch: [63][6380/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.8547 (1.7546) Prec@1 49.375 (53.508) Prec@5 86.875 (82.726) Epoch: [63][6390/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8733 (1.7546) Prec@1 50.000 (53.509) Prec@5 81.250 (82.725) Epoch: [63][6400/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.7245 (1.7546) Prec@1 56.875 (53.509) Prec@5 83.750 (82.724) Epoch: [63][6410/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.8688 (1.7547) Prec@1 49.375 (53.509) Prec@5 82.500 (82.724) Epoch: [63][6420/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.8289 (1.7547) Prec@1 50.625 (53.507) Prec@5 80.625 (82.723) Epoch: [63][6430/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.9613 (1.7547) Prec@1 49.375 (53.508) Prec@5 77.500 (82.723) Epoch: [63][6440/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6985 (1.7547) Prec@1 53.125 (53.507) Prec@5 84.375 (82.723) Epoch: [63][6450/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.8579 (1.7547) Prec@1 50.000 (53.507) Prec@5 81.875 (82.724) Epoch: [63][6460/11272] Time 0.863 (0.776) Data 0.001 (0.002) Loss 1.9097 (1.7547) Prec@1 51.875 (53.507) Prec@5 78.125 (82.722) Epoch: [63][6470/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.8833 (1.7548) Prec@1 46.875 (53.502) Prec@5 80.625 (82.720) Epoch: [63][6480/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7333 (1.7547) Prec@1 56.875 (53.503) Prec@5 81.875 (82.720) Epoch: [63][6490/11272] Time 0.756 (0.776) Data 0.001 (0.002) Loss 1.7037 (1.7547) Prec@1 53.750 (53.504) Prec@5 83.750 (82.721) Epoch: [63][6500/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.7786 (1.7547) Prec@1 51.875 (53.504) Prec@5 82.500 (82.723) Epoch: [63][6510/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.5682 (1.7547) Prec@1 61.875 (53.505) Prec@5 86.250 (82.723) Epoch: [63][6520/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5144 (1.7546) Prec@1 61.250 (53.506) Prec@5 86.250 (82.724) Epoch: [63][6530/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6071 (1.7547) Prec@1 56.250 (53.502) Prec@5 83.750 (82.723) Epoch: [63][6540/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.7878 (1.7548) Prec@1 53.125 (53.499) Prec@5 82.500 (82.721) Epoch: [63][6550/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6225 (1.7548) Prec@1 60.000 (53.499) Prec@5 85.625 (82.721) Epoch: [63][6560/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.9224 (1.7549) Prec@1 51.250 (53.495) Prec@5 81.875 (82.719) Epoch: [63][6570/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.8642 (1.7549) Prec@1 55.625 (53.496) Prec@5 80.625 (82.720) Epoch: [63][6580/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.7823 (1.7549) Prec@1 55.625 (53.498) Prec@5 79.375 (82.718) Epoch: [63][6590/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6905 (1.7549) Prec@1 56.250 (53.496) Prec@5 86.875 (82.720) Epoch: [63][6600/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.8277 (1.7549) Prec@1 50.625 (53.494) Prec@5 83.125 (82.719) Epoch: [63][6610/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.7917 (1.7550) Prec@1 50.000 (53.490) Prec@5 84.375 (82.721) Epoch: [63][6620/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.8163 (1.7550) Prec@1 49.375 (53.489) Prec@5 81.875 (82.719) Epoch: [63][6630/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.9410 (1.7552) Prec@1 53.125 (53.484) Prec@5 81.250 (82.718) Epoch: [63][6640/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8608 (1.7551) Prec@1 48.750 (53.484) Prec@5 81.875 (82.721) Epoch: [63][6650/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.7025 (1.7551) Prec@1 50.625 (53.483) Prec@5 84.375 (82.722) Epoch: [63][6660/11272] Time 0.746 (0.776) Data 0.002 (0.002) Loss 1.8623 (1.7551) Prec@1 51.875 (53.483) Prec@5 77.500 (82.721) Epoch: [63][6670/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.6652 (1.7551) Prec@1 55.625 (53.483) Prec@5 83.125 (82.722) Epoch: [63][6680/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7408 (1.7550) Prec@1 58.125 (53.486) Prec@5 83.125 (82.723) Epoch: [63][6690/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7597 (1.7550) Prec@1 51.875 (53.485) Prec@5 84.375 (82.725) Epoch: [63][6700/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.7495 (1.7549) Prec@1 56.250 (53.487) Prec@5 80.625 (82.725) Epoch: [63][6710/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.8695 (1.7549) Prec@1 51.875 (53.486) Prec@5 80.625 (82.724) Epoch: [63][6720/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 2.0032 (1.7551) Prec@1 47.500 (53.484) Prec@5 77.500 (82.723) Epoch: [63][6730/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.6561 (1.7551) Prec@1 57.500 (53.484) Prec@5 86.250 (82.723) Epoch: [63][6740/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.8122 (1.7552) Prec@1 53.125 (53.482) Prec@5 83.125 (82.721) Epoch: [63][6750/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.5635 (1.7551) Prec@1 54.375 (53.484) Prec@5 85.000 (82.721) Epoch: [63][6760/11272] Time 0.796 (0.776) Data 0.001 (0.002) Loss 1.9462 (1.7552) Prec@1 43.750 (53.482) Prec@5 85.000 (82.721) Epoch: [63][6770/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.8741 (1.7553) Prec@1 51.875 (53.479) Prec@5 81.250 (82.721) Epoch: [63][6780/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.6686 (1.7553) Prec@1 52.500 (53.477) Prec@5 83.125 (82.720) Epoch: [63][6790/11272] Time 0.871 (0.776) Data 0.001 (0.002) Loss 1.6365 (1.7555) Prec@1 60.625 (53.475) Prec@5 85.000 (82.717) Epoch: [63][6800/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6771 (1.7555) Prec@1 53.125 (53.475) Prec@5 81.875 (82.718) Epoch: [63][6810/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.7882 (1.7556) Prec@1 53.750 (53.474) Prec@5 80.000 (82.718) Epoch: [63][6820/11272] Time 0.757 (0.776) Data 0.001 (0.002) Loss 1.8075 (1.7555) Prec@1 53.125 (53.474) Prec@5 81.875 (82.719) Epoch: [63][6830/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.7053 (1.7555) Prec@1 56.250 (53.475) Prec@5 83.750 (82.719) Epoch: [63][6840/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.7702 (1.7555) Prec@1 49.375 (53.475) Prec@5 81.875 (82.720) Epoch: [63][6850/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6750 (1.7555) Prec@1 54.375 (53.475) Prec@5 85.625 (82.722) Epoch: [63][6860/11272] Time 0.706 (0.776) Data 0.002 (0.002) Loss 1.6558 (1.7555) Prec@1 50.000 (53.472) Prec@5 88.750 (82.721) Epoch: [63][6870/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.7065 (1.7554) Prec@1 53.125 (53.473) Prec@5 86.250 (82.724) Epoch: [63][6880/11272] Time 0.864 (0.776) Data 0.001 (0.002) Loss 1.7571 (1.7555) Prec@1 50.625 (53.472) Prec@5 81.250 (82.723) Epoch: [63][6890/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7427 (1.7554) Prec@1 55.625 (53.474) Prec@5 79.375 (82.721) Epoch: [63][6900/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.9538 (1.7554) Prec@1 52.500 (53.473) Prec@5 78.125 (82.721) Epoch: [63][6910/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.8350 (1.7554) Prec@1 54.375 (53.471) Prec@5 79.375 (82.720) Epoch: [63][6920/11272] Time 0.710 (0.776) Data 0.003 (0.002) Loss 1.9357 (1.7555) Prec@1 52.500 (53.469) Prec@5 83.750 (82.718) Epoch: [63][6930/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.2276 (1.7555) Prec@1 68.125 (53.471) Prec@5 92.500 (82.719) Epoch: [63][6940/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.9483 (1.7555) Prec@1 48.125 (53.472) Prec@5 78.125 (82.717) Epoch: [63][6950/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.6491 (1.7555) Prec@1 52.500 (53.475) Prec@5 82.500 (82.717) Epoch: [63][6960/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.7968 (1.7554) Prec@1 56.250 (53.478) Prec@5 83.750 (82.717) Epoch: [63][6970/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.8120 (1.7555) Prec@1 53.125 (53.476) Prec@5 85.000 (82.716) Epoch: [63][6980/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.7596 (1.7555) Prec@1 55.000 (53.473) Prec@5 80.625 (82.715) Epoch: [63][6990/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.8848 (1.7557) Prec@1 48.125 (53.469) Prec@5 85.625 (82.713) Epoch: [63][7000/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6611 (1.7556) Prec@1 60.000 (53.471) Prec@5 81.875 (82.716) Epoch: [63][7010/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.4965 (1.7556) Prec@1 56.875 (53.468) Prec@5 88.750 (82.715) Epoch: [63][7020/11272] Time 0.841 (0.776) Data 0.001 (0.002) Loss 1.6457 (1.7556) Prec@1 51.875 (53.469) Prec@5 83.750 (82.716) Epoch: [63][7030/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.9689 (1.7556) Prec@1 50.625 (53.469) Prec@5 76.875 (82.717) Epoch: [63][7040/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6002 (1.7556) Prec@1 51.250 (53.468) Prec@5 84.375 (82.716) Epoch: [63][7050/11272] Time 0.867 (0.776) Data 0.001 (0.002) Loss 1.8398 (1.7556) Prec@1 48.125 (53.467) Prec@5 83.125 (82.717) Epoch: [63][7060/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.7829 (1.7556) Prec@1 51.875 (53.469) Prec@5 83.750 (82.717) Epoch: [63][7070/11272] Time 0.747 (0.776) Data 0.001 (0.002) Loss 1.6765 (1.7556) Prec@1 57.500 (53.469) Prec@5 85.000 (82.719) Epoch: [63][7080/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.7330 (1.7555) Prec@1 50.625 (53.467) Prec@5 85.625 (82.721) Epoch: [63][7090/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.8837 (1.7555) Prec@1 49.375 (53.468) Prec@5 80.625 (82.721) Epoch: [63][7100/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.8909 (1.7555) Prec@1 49.375 (53.471) Prec@5 80.625 (82.721) Epoch: [63][7110/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.8802 (1.7555) Prec@1 51.250 (53.472) Prec@5 78.125 (82.722) Epoch: [63][7120/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.7814 (1.7554) Prec@1 54.375 (53.474) Prec@5 80.000 (82.721) Epoch: [63][7130/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.5852 (1.7553) Prec@1 55.000 (53.475) Prec@5 86.250 (82.722) Epoch: [63][7140/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6070 (1.7554) Prec@1 56.250 (53.475) Prec@5 85.625 (82.721) Epoch: [63][7150/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 2.0453 (1.7554) Prec@1 47.500 (53.476) Prec@5 77.500 (82.720) Epoch: [63][7160/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.5499 (1.7553) Prec@1 63.750 (53.477) Prec@5 86.250 (82.723) Epoch: [63][7170/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.7968 (1.7553) Prec@1 53.750 (53.476) Prec@5 81.250 (82.722) Epoch: [63][7180/11272] Time 0.707 (0.776) Data 0.003 (0.002) Loss 1.5368 (1.7554) Prec@1 60.625 (53.474) Prec@5 84.375 (82.720) Epoch: [63][7190/11272] Time 0.691 (0.776) Data 0.001 (0.002) Loss 1.7429 (1.7552) Prec@1 55.000 (53.479) Prec@5 81.875 (82.723) Epoch: [63][7200/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.6505 (1.7551) Prec@1 60.000 (53.481) Prec@5 84.375 (82.724) Epoch: [63][7210/11272] Time 0.877 (0.776) Data 0.001 (0.002) Loss 1.9228 (1.7552) Prec@1 48.750 (53.479) Prec@5 80.625 (82.722) Epoch: [63][7220/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6148 (1.7552) Prec@1 59.375 (53.480) Prec@5 85.625 (82.723) Epoch: [63][7230/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.8155 (1.7552) Prec@1 57.500 (53.482) Prec@5 80.000 (82.723) Epoch: [63][7240/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.7322 (1.7551) Prec@1 53.125 (53.481) Prec@5 82.500 (82.725) Epoch: [63][7250/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.8051 (1.7551) Prec@1 51.875 (53.483) Prec@5 80.000 (82.725) Epoch: [63][7260/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.9557 (1.7552) Prec@1 49.375 (53.481) Prec@5 79.375 (82.722) Epoch: [63][7270/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.7440 (1.7552) Prec@1 54.375 (53.482) Prec@5 83.750 (82.724) Epoch: [63][7280/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 2.0371 (1.7553) Prec@1 50.000 (53.479) Prec@5 76.250 (82.722) Epoch: [63][7290/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.8825 (1.7553) Prec@1 53.125 (53.480) Prec@5 78.750 (82.721) Epoch: [63][7300/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.9851 (1.7554) Prec@1 50.625 (53.478) Prec@5 76.875 (82.722) Epoch: [63][7310/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7724 (1.7553) Prec@1 51.875 (53.478) Prec@5 83.125 (82.722) Epoch: [63][7320/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.9541 (1.7553) Prec@1 52.500 (53.479) Prec@5 81.250 (82.724) Epoch: [63][7330/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.6235 (1.7553) Prec@1 58.125 (53.479) Prec@5 83.125 (82.723) Epoch: [63][7340/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6325 (1.7552) Prec@1 54.375 (53.478) Prec@5 81.875 (82.723) Epoch: [63][7350/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.6983 (1.7552) Prec@1 51.250 (53.481) Prec@5 86.250 (82.726) Epoch: [63][7360/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.7742 (1.7552) Prec@1 54.375 (53.480) Prec@5 82.500 (82.725) Epoch: [63][7370/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.7758 (1.7553) Prec@1 55.000 (53.478) Prec@5 80.625 (82.722) Epoch: [63][7380/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.8702 (1.7553) Prec@1 51.250 (53.478) Prec@5 78.750 (82.721) Epoch: [63][7390/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.8356 (1.7552) Prec@1 53.125 (53.481) Prec@5 79.375 (82.722) Epoch: [63][7400/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.6670 (1.7553) Prec@1 53.125 (53.480) Prec@5 83.125 (82.721) Epoch: [63][7410/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.5878 (1.7553) Prec@1 55.625 (53.481) Prec@5 87.500 (82.722) Epoch: [63][7420/11272] Time 0.743 (0.776) Data 0.001 (0.002) Loss 2.0478 (1.7553) Prec@1 45.000 (53.479) Prec@5 78.125 (82.722) Epoch: [63][7430/11272] Time 0.782 (0.776) Data 0.001 (0.002) Loss 1.8004 (1.7553) Prec@1 53.750 (53.479) Prec@5 83.750 (82.721) Epoch: [63][7440/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.8200 (1.7553) Prec@1 55.000 (53.480) Prec@5 81.875 (82.721) Epoch: [63][7450/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7554 (1.7552) Prec@1 59.375 (53.483) Prec@5 83.125 (82.723) Epoch: [63][7460/11272] Time 0.811 (0.776) Data 0.002 (0.002) Loss 1.8883 (1.7553) Prec@1 53.750 (53.482) Prec@5 81.875 (82.720) Epoch: [63][7470/11272] Time 0.865 (0.776) Data 0.001 (0.002) Loss 1.9332 (1.7552) Prec@1 52.500 (53.484) Prec@5 78.750 (82.721) Epoch: [63][7480/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6556 (1.7553) Prec@1 56.875 (53.482) Prec@5 85.625 (82.721) Epoch: [63][7490/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6716 (1.7553) Prec@1 54.375 (53.482) Prec@5 85.000 (82.721) Epoch: [63][7500/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 2.0258 (1.7553) Prec@1 42.500 (53.482) Prec@5 78.125 (82.721) Epoch: [63][7510/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.9236 (1.7553) Prec@1 51.875 (53.480) Prec@5 79.375 (82.719) Epoch: [63][7520/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5464 (1.7553) Prec@1 58.125 (53.481) Prec@5 86.875 (82.720) Epoch: [63][7530/11272] Time 0.783 (0.776) Data 0.001 (0.002) Loss 1.5192 (1.7554) Prec@1 60.625 (53.480) Prec@5 86.875 (82.719) Epoch: [63][7540/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.6520 (1.7553) Prec@1 51.250 (53.482) Prec@5 87.500 (82.719) Epoch: [63][7550/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.8917 (1.7554) Prec@1 48.750 (53.482) Prec@5 81.250 (82.718) Epoch: [63][7560/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.8149 (1.7553) Prec@1 51.875 (53.483) Prec@5 75.625 (82.718) Epoch: [63][7570/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.9147 (1.7553) Prec@1 50.000 (53.484) Prec@5 78.125 (82.719) Epoch: [63][7580/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.6645 (1.7553) Prec@1 51.250 (53.483) Prec@5 86.875 (82.718) Epoch: [63][7590/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.8749 (1.7553) Prec@1 50.625 (53.481) Prec@5 78.750 (82.719) Epoch: [63][7600/11272] Time 0.689 (0.776) Data 0.001 (0.002) Loss 1.8326 (1.7553) Prec@1 51.250 (53.481) Prec@5 81.250 (82.719) Epoch: [63][7610/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5881 (1.7553) Prec@1 58.750 (53.483) Prec@5 87.500 (82.720) Epoch: [63][7620/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.7241 (1.7553) Prec@1 50.625 (53.483) Prec@5 81.875 (82.720) Epoch: [63][7630/11272] Time 0.737 (0.776) Data 0.002 (0.002) Loss 1.6482 (1.7553) Prec@1 53.750 (53.482) Prec@5 83.125 (82.720) Epoch: [63][7640/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.6068 (1.7552) Prec@1 60.000 (53.484) Prec@5 86.250 (82.721) Epoch: [63][7650/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.4317 (1.7552) Prec@1 65.000 (53.485) Prec@5 88.125 (82.721) Epoch: [63][7660/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.6242 (1.7552) Prec@1 55.000 (53.485) Prec@5 88.125 (82.721) Epoch: [63][7670/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5991 (1.7552) Prec@1 58.750 (53.484) Prec@5 83.125 (82.722) Epoch: [63][7680/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.9686 (1.7551) Prec@1 48.750 (53.484) Prec@5 81.875 (82.724) Epoch: [63][7690/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.7988 (1.7551) Prec@1 55.625 (53.484) Prec@5 84.375 (82.726) Epoch: [63][7700/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8784 (1.7551) Prec@1 51.250 (53.486) Prec@5 80.625 (82.727) Epoch: [63][7710/11272] Time 0.768 (0.776) Data 0.001 (0.002) Loss 1.6899 (1.7551) Prec@1 53.125 (53.484) Prec@5 84.375 (82.725) Epoch: [63][7720/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.7826 (1.7552) Prec@1 53.750 (53.483) Prec@5 83.125 (82.724) Epoch: [63][7730/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.5778 (1.7552) Prec@1 61.250 (53.485) Prec@5 86.875 (82.725) Epoch: [63][7740/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6605 (1.7552) Prec@1 55.625 (53.485) Prec@5 85.625 (82.725) Epoch: [63][7750/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.5520 (1.7550) Prec@1 61.875 (53.488) Prec@5 85.625 (82.726) Epoch: [63][7760/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.6718 (1.7550) Prec@1 56.875 (53.486) Prec@5 83.750 (82.726) Epoch: [63][7770/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7205 (1.7550) Prec@1 55.625 (53.488) Prec@5 80.625 (82.726) Epoch: [63][7780/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.8447 (1.7550) Prec@1 51.875 (53.487) Prec@5 77.500 (82.728) Epoch: [63][7790/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.7326 (1.7550) Prec@1 58.750 (53.489) Prec@5 81.875 (82.729) Epoch: [63][7800/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6507 (1.7549) Prec@1 54.375 (53.490) Prec@5 83.750 (82.729) Epoch: [63][7810/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.6403 (1.7550) Prec@1 53.750 (53.488) Prec@5 84.375 (82.728) Epoch: [63][7820/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.6110 (1.7550) Prec@1 53.750 (53.486) Prec@5 85.000 (82.726) Epoch: [63][7830/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5650 (1.7550) Prec@1 61.250 (53.486) Prec@5 81.250 (82.727) Epoch: [63][7840/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.6268 (1.7551) Prec@1 56.250 (53.486) Prec@5 85.000 (82.725) Epoch: [63][7850/11272] Time 0.703 (0.776) Data 0.002 (0.002) Loss 1.7745 (1.7550) Prec@1 55.000 (53.486) Prec@5 82.500 (82.725) Epoch: [63][7860/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.6312 (1.7551) Prec@1 58.125 (53.485) Prec@5 85.000 (82.725) Epoch: [63][7870/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.6959 (1.7550) Prec@1 54.375 (53.488) Prec@5 82.500 (82.726) Epoch: [63][7880/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.8351 (1.7550) Prec@1 53.125 (53.488) Prec@5 79.375 (82.723) Epoch: [63][7890/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.7772 (1.7550) Prec@1 48.125 (53.489) Prec@5 85.625 (82.722) Epoch: [63][7900/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.7532 (1.7550) Prec@1 56.250 (53.488) Prec@5 82.500 (82.724) Epoch: [63][7910/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.7689 (1.7550) Prec@1 46.875 (53.487) Prec@5 82.500 (82.724) Epoch: [63][7920/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.3921 (1.7549) Prec@1 58.750 (53.489) Prec@5 91.875 (82.725) Epoch: [63][7930/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7948 (1.7549) Prec@1 50.000 (53.489) Prec@5 81.875 (82.726) Epoch: [63][7940/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6491 (1.7548) Prec@1 50.625 (53.490) Prec@5 84.375 (82.727) Epoch: [63][7950/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.4664 (1.7549) Prec@1 58.750 (53.489) Prec@5 85.625 (82.725) Epoch: [63][7960/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.7100 (1.7548) Prec@1 53.125 (53.490) Prec@5 84.375 (82.727) Epoch: [63][7970/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.6096 (1.7548) Prec@1 60.000 (53.491) Prec@5 82.500 (82.726) Epoch: [63][7980/11272] Time 0.859 (0.776) Data 0.001 (0.002) Loss 1.8618 (1.7549) Prec@1 55.625 (53.488) Prec@5 77.500 (82.724) Epoch: [63][7990/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.9696 (1.7550) Prec@1 51.250 (53.488) Prec@5 76.250 (82.722) Epoch: [63][8000/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.7413 (1.7549) Prec@1 52.500 (53.489) Prec@5 82.500 (82.724) Epoch: [63][8010/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.9709 (1.7549) Prec@1 48.125 (53.487) Prec@5 80.000 (82.724) Epoch: [63][8020/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.7799 (1.7550) Prec@1 56.875 (53.486) Prec@5 80.000 (82.722) Epoch: [63][8030/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6269 (1.7550) Prec@1 58.125 (53.484) Prec@5 81.250 (82.722) Epoch: [63][8040/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8600 (1.7550) Prec@1 50.625 (53.483) Prec@5 81.250 (82.721) Epoch: [63][8050/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.8630 (1.7550) Prec@1 51.250 (53.485) Prec@5 80.000 (82.720) Epoch: [63][8060/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.7667 (1.7549) Prec@1 53.750 (53.485) Prec@5 80.625 (82.720) Epoch: [63][8070/11272] Time 0.870 (0.776) Data 0.002 (0.002) Loss 1.7687 (1.7550) Prec@1 51.875 (53.481) Prec@5 81.875 (82.719) Epoch: [63][8080/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6576 (1.7551) Prec@1 53.750 (53.480) Prec@5 83.750 (82.718) Epoch: [63][8090/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.8592 (1.7551) Prec@1 53.750 (53.480) Prec@5 79.375 (82.718) Epoch: [63][8100/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.7233 (1.7550) Prec@1 53.750 (53.479) Prec@5 81.250 (82.717) Epoch: [63][8110/11272] Time 0.737 (0.776) Data 0.003 (0.002) Loss 1.6837 (1.7550) Prec@1 51.250 (53.479) Prec@5 86.250 (82.717) Epoch: [63][8120/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.9022 (1.7550) Prec@1 47.500 (53.478) Prec@5 81.875 (82.717) Epoch: [63][8130/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7936 (1.7550) Prec@1 52.500 (53.478) Prec@5 84.375 (82.717) Epoch: [63][8140/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5226 (1.7551) Prec@1 54.375 (53.477) Prec@5 90.000 (82.717) Epoch: [63][8150/11272] Time 0.702 (0.776) Data 0.001 (0.002) Loss 1.6133 (1.7550) Prec@1 56.250 (53.477) Prec@5 86.250 (82.719) Epoch: [63][8160/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.9697 (1.7550) Prec@1 48.125 (53.477) Prec@5 78.125 (82.719) Epoch: [63][8170/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.7128 (1.7550) Prec@1 52.500 (53.476) Prec@5 85.000 (82.721) Epoch: [63][8180/11272] Time 0.790 (0.776) Data 0.001 (0.002) Loss 1.5708 (1.7550) Prec@1 56.875 (53.477) Prec@5 85.000 (82.721) Epoch: [63][8190/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.9621 (1.7550) Prec@1 45.625 (53.477) Prec@5 81.250 (82.721) Epoch: [63][8200/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.7860 (1.7549) Prec@1 54.375 (53.479) Prec@5 83.750 (82.723) Epoch: [63][8210/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6613 (1.7549) Prec@1 55.000 (53.479) Prec@5 87.500 (82.723) Epoch: [63][8220/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.8329 (1.7549) Prec@1 50.625 (53.479) Prec@5 81.250 (82.724) Epoch: [63][8230/11272] Time 0.750 (0.776) Data 0.001 (0.002) Loss 1.8936 (1.7549) Prec@1 48.750 (53.478) Prec@5 84.375 (82.724) Epoch: [63][8240/11272] Time 0.860 (0.776) Data 0.001 (0.002) Loss 1.6502 (1.7550) Prec@1 53.125 (53.477) Prec@5 82.500 (82.723) Epoch: [63][8250/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8544 (1.7550) Prec@1 50.000 (53.476) Prec@5 78.125 (82.723) Epoch: [63][8260/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.8478 (1.7550) Prec@1 51.875 (53.475) Prec@5 80.000 (82.722) Epoch: [63][8270/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.9319 (1.7551) Prec@1 51.250 (53.476) Prec@5 80.625 (82.721) Epoch: [63][8280/11272] Time 0.791 (0.776) Data 0.002 (0.002) Loss 1.8239 (1.7550) Prec@1 51.875 (53.476) Prec@5 85.625 (82.723) Epoch: [63][8290/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7977 (1.7550) Prec@1 53.750 (53.476) Prec@5 81.250 (82.722) Epoch: [63][8300/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.6290 (1.7551) Prec@1 56.250 (53.477) Prec@5 80.625 (82.721) Epoch: [63][8310/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.7080 (1.7550) Prec@1 51.250 (53.478) Prec@5 83.750 (82.722) Epoch: [63][8320/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7341 (1.7550) Prec@1 54.375 (53.479) Prec@5 81.250 (82.722) Epoch: [63][8330/11272] Time 0.797 (0.776) Data 0.002 (0.002) Loss 1.9915 (1.7551) Prec@1 48.750 (53.475) Prec@5 80.000 (82.723) Epoch: [63][8340/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.4951 (1.7551) Prec@1 60.000 (53.474) Prec@5 85.625 (82.723) Epoch: [63][8350/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.5945 (1.7551) Prec@1 53.125 (53.475) Prec@5 89.375 (82.724) Epoch: [63][8360/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 1.8600 (1.7551) Prec@1 56.875 (53.475) Prec@5 84.375 (82.722) Epoch: [63][8370/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.6373 (1.7551) Prec@1 53.750 (53.478) Prec@5 84.375 (82.723) Epoch: [63][8380/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5642 (1.7550) Prec@1 56.875 (53.480) Prec@5 86.875 (82.724) Epoch: [63][8390/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.6781 (1.7549) Prec@1 54.375 (53.482) Prec@5 85.625 (82.726) Epoch: [63][8400/11272] Time 0.840 (0.776) Data 0.003 (0.002) Loss 1.6299 (1.7549) Prec@1 56.875 (53.482) Prec@5 86.250 (82.727) Epoch: [63][8410/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.8924 (1.7549) Prec@1 45.000 (53.480) Prec@5 80.000 (82.726) Epoch: [63][8420/11272] Time 0.706 (0.776) Data 0.002 (0.002) Loss 1.8491 (1.7549) Prec@1 53.125 (53.481) Prec@5 79.375 (82.727) Epoch: [63][8430/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.5429 (1.7549) Prec@1 59.375 (53.480) Prec@5 83.750 (82.727) Epoch: [63][8440/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.8740 (1.7550) Prec@1 50.625 (53.478) Prec@5 78.125 (82.726) Epoch: [63][8450/11272] Time 0.739 (0.776) Data 0.001 (0.002) Loss 1.9306 (1.7550) Prec@1 52.500 (53.478) Prec@5 80.000 (82.726) Epoch: [63][8460/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7574 (1.7550) Prec@1 51.250 (53.477) Prec@5 82.500 (82.725) Epoch: [63][8470/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8176 (1.7550) Prec@1 54.375 (53.480) Prec@5 82.500 (82.725) Epoch: [63][8480/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.5929 (1.7549) Prec@1 56.875 (53.481) Prec@5 87.500 (82.726) Epoch: [63][8490/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6122 (1.7548) Prec@1 55.000 (53.482) Prec@5 86.875 (82.727) Epoch: [63][8500/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8308 (1.7549) Prec@1 50.000 (53.481) Prec@5 84.375 (82.726) Epoch: [63][8510/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7147 (1.7548) Prec@1 55.000 (53.482) Prec@5 85.625 (82.726) Epoch: [63][8520/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.5822 (1.7548) Prec@1 57.500 (53.481) Prec@5 83.125 (82.727) Epoch: [63][8530/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.5429 (1.7549) Prec@1 58.750 (53.480) Prec@5 85.625 (82.726) Epoch: [63][8540/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.7461 (1.7548) Prec@1 53.125 (53.480) Prec@5 81.875 (82.727) Epoch: [63][8550/11272] Time 0.817 (0.776) Data 0.002 (0.002) Loss 1.6613 (1.7548) Prec@1 55.000 (53.481) Prec@5 85.000 (82.727) Epoch: [63][8560/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 2.0240 (1.7548) Prec@1 52.500 (53.480) Prec@5 75.625 (82.727) Epoch: [63][8570/11272] Time 0.702 (0.776) Data 0.001 (0.002) Loss 1.8976 (1.7548) Prec@1 55.625 (53.482) Prec@5 81.250 (82.729) Epoch: [63][8580/11272] Time 0.884 (0.776) Data 0.001 (0.002) Loss 1.6167 (1.7548) Prec@1 54.375 (53.482) Prec@5 86.250 (82.729) Epoch: [63][8590/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.5849 (1.7547) Prec@1 55.000 (53.484) Prec@5 83.125 (82.730) Epoch: [63][8600/11272] Time 0.756 (0.776) Data 0.002 (0.002) Loss 1.7692 (1.7547) Prec@1 48.750 (53.483) Prec@5 84.375 (82.730) Epoch: [63][8610/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6833 (1.7546) Prec@1 60.000 (53.486) Prec@5 81.250 (82.731) Epoch: [63][8620/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.8966 (1.7547) Prec@1 50.000 (53.482) Prec@5 78.750 (82.730) Epoch: [63][8630/11272] Time 0.829 (0.776) Data 0.006 (0.002) Loss 1.8431 (1.7547) Prec@1 49.375 (53.483) Prec@5 78.750 (82.729) Epoch: [63][8640/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6592 (1.7547) Prec@1 54.375 (53.486) Prec@5 83.125 (82.729) Epoch: [63][8650/11272] Time 0.855 (0.776) Data 0.001 (0.002) Loss 1.3392 (1.7546) Prec@1 60.625 (53.487) Prec@5 91.250 (82.731) Epoch: [63][8660/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 2.0820 (1.7546) Prec@1 44.375 (53.487) Prec@5 79.375 (82.731) Epoch: [63][8670/11272] Time 0.691 (0.776) Data 0.001 (0.002) Loss 2.1202 (1.7547) Prec@1 48.125 (53.485) Prec@5 76.250 (82.729) Epoch: [63][8680/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.6171 (1.7547) Prec@1 57.500 (53.486) Prec@5 81.250 (82.728) Epoch: [63][8690/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.6807 (1.7546) Prec@1 55.000 (53.488) Prec@5 83.750 (82.731) Epoch: [63][8700/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.3692 (1.7545) Prec@1 61.875 (53.490) Prec@5 88.750 (82.732) Epoch: [63][8710/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.5479 (1.7545) Prec@1 56.875 (53.487) Prec@5 85.625 (82.733) Epoch: [63][8720/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5375 (1.7544) Prec@1 60.625 (53.490) Prec@5 88.750 (82.736) Epoch: [63][8730/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7587 (1.7544) Prec@1 55.000 (53.490) Prec@5 83.125 (82.735) Epoch: [63][8740/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.8118 (1.7543) Prec@1 53.125 (53.492) Prec@5 80.625 (82.738) Epoch: [63][8750/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.7150 (1.7543) Prec@1 55.625 (53.494) Prec@5 86.250 (82.737) Epoch: [63][8760/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.6126 (1.7543) Prec@1 55.625 (53.494) Prec@5 83.125 (82.738) Epoch: [63][8770/11272] Time 0.788 (0.776) Data 0.001 (0.002) Loss 1.7490 (1.7543) Prec@1 47.500 (53.494) Prec@5 83.750 (82.738) Epoch: [63][8780/11272] Time 0.721 (0.776) Data 0.003 (0.002) Loss 1.4649 (1.7542) Prec@1 60.625 (53.494) Prec@5 88.125 (82.741) Epoch: [63][8790/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.5362 (1.7542) Prec@1 60.000 (53.496) Prec@5 85.625 (82.742) Epoch: [63][8800/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.7239 (1.7541) Prec@1 54.375 (53.497) Prec@5 81.250 (82.744) Epoch: [63][8810/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.8356 (1.7540) Prec@1 51.250 (53.497) Prec@5 81.875 (82.743) Epoch: [63][8820/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.6381 (1.7540) Prec@1 60.625 (53.499) Prec@5 88.125 (82.745) Epoch: [63][8830/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6731 (1.7540) Prec@1 54.375 (53.499) Prec@5 83.750 (82.746) Epoch: [63][8840/11272] Time 0.901 (0.776) Data 0.001 (0.002) Loss 1.7033 (1.7540) Prec@1 55.625 (53.497) Prec@5 81.250 (82.746) Epoch: [63][8850/11272] Time 0.865 (0.776) Data 0.002 (0.002) Loss 1.6895 (1.7540) Prec@1 55.000 (53.497) Prec@5 82.500 (82.746) Epoch: [63][8860/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.7285 (1.7539) Prec@1 51.875 (53.496) Prec@5 80.625 (82.747) Epoch: [63][8870/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.7796 (1.7540) Prec@1 58.750 (53.498) Prec@5 80.625 (82.745) Epoch: [63][8880/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.8276 (1.7540) Prec@1 51.875 (53.497) Prec@5 79.375 (82.744) Epoch: [63][8890/11272] Time 0.800 (0.776) Data 0.002 (0.002) Loss 1.8801 (1.7540) Prec@1 51.875 (53.495) Prec@5 80.000 (82.743) Epoch: [63][8900/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7532 (1.7541) Prec@1 54.375 (53.495) Prec@5 83.125 (82.743) Epoch: [63][8910/11272] Time 0.878 (0.776) Data 0.001 (0.002) Loss 1.8530 (1.7541) Prec@1 48.125 (53.494) Prec@5 81.250 (82.743) Epoch: [63][8920/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.8062 (1.7541) Prec@1 55.000 (53.494) Prec@5 84.375 (82.742) Epoch: [63][8930/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.8932 (1.7540) Prec@1 53.750 (53.497) Prec@5 83.125 (82.744) Epoch: [63][8940/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.9694 (1.7540) Prec@1 54.375 (53.496) Prec@5 78.125 (82.744) Epoch: [63][8950/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.6886 (1.7540) Prec@1 53.750 (53.496) Prec@5 85.625 (82.745) Epoch: [63][8960/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.8382 (1.7539) Prec@1 49.375 (53.498) Prec@5 80.000 (82.746) Epoch: [63][8970/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.9733 (1.7540) Prec@1 46.250 (53.495) Prec@5 79.375 (82.744) Epoch: [63][8980/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.5526 (1.7539) Prec@1 57.500 (53.497) Prec@5 87.500 (82.746) Epoch: [63][8990/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6487 (1.7540) Prec@1 55.000 (53.497) Prec@5 82.500 (82.744) Epoch: [63][9000/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.9406 (1.7541) Prec@1 51.875 (53.496) Prec@5 83.750 (82.742) Epoch: [63][9010/11272] Time 0.728 (0.776) Data 0.004 (0.002) Loss 1.7117 (1.7541) Prec@1 58.750 (53.497) Prec@5 82.500 (82.743) Epoch: [63][9020/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.7349 (1.7541) Prec@1 53.750 (53.497) Prec@5 85.625 (82.743) Epoch: [63][9030/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.5912 (1.7541) Prec@1 57.500 (53.497) Prec@5 85.625 (82.744) Epoch: [63][9040/11272] Time 0.721 (0.776) Data 0.003 (0.002) Loss 1.9435 (1.7541) Prec@1 49.375 (53.494) Prec@5 80.000 (82.741) Epoch: [63][9050/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.9279 (1.7541) Prec@1 46.875 (53.495) Prec@5 78.750 (82.742) Epoch: [63][9060/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.9244 (1.7542) Prec@1 51.250 (53.493) Prec@5 81.875 (82.741) Epoch: [63][9070/11272] Time 0.860 (0.776) Data 0.002 (0.002) Loss 1.6121 (1.7541) Prec@1 56.250 (53.495) Prec@5 86.250 (82.743) Epoch: [63][9080/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7429 (1.7541) Prec@1 56.875 (53.495) Prec@5 81.875 (82.741) Epoch: [63][9090/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6956 (1.7541) Prec@1 53.125 (53.495) Prec@5 81.875 (82.743) Epoch: [63][9100/11272] Time 0.878 (0.776) Data 0.001 (0.002) Loss 1.8385 (1.7541) Prec@1 48.125 (53.495) Prec@5 80.000 (82.742) Epoch: [63][9110/11272] Time 0.852 (0.776) Data 0.002 (0.002) Loss 1.6205 (1.7540) Prec@1 53.125 (53.496) Prec@5 87.500 (82.742) Epoch: [63][9120/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5428 (1.7541) Prec@1 57.500 (53.496) Prec@5 88.750 (82.742) Epoch: [63][9130/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.4585 (1.7541) Prec@1 60.000 (53.494) Prec@5 88.125 (82.742) Epoch: [63][9140/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.8302 (1.7541) Prec@1 48.125 (53.494) Prec@5 85.000 (82.743) Epoch: [63][9150/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.8617 (1.7541) Prec@1 46.875 (53.494) Prec@5 84.375 (82.745) Epoch: [63][9160/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8170 (1.7542) Prec@1 53.750 (53.492) Prec@5 81.250 (82.744) Epoch: [63][9170/11272] Time 0.882 (0.776) Data 0.002 (0.002) Loss 1.6948 (1.7542) Prec@1 51.875 (53.492) Prec@5 81.875 (82.744) Epoch: [63][9180/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.5697 (1.7542) Prec@1 57.500 (53.493) Prec@5 85.000 (82.745) Epoch: [63][9190/11272] Time 0.759 (0.776) Data 0.001 (0.002) Loss 1.7521 (1.7541) Prec@1 50.000 (53.494) Prec@5 82.500 (82.746) Epoch: [63][9200/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8593 (1.7542) Prec@1 52.500 (53.492) Prec@5 79.375 (82.744) Epoch: [63][9210/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6081 (1.7541) Prec@1 53.750 (53.493) Prec@5 83.750 (82.744) Epoch: [63][9220/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6131 (1.7542) Prec@1 56.875 (53.493) Prec@5 85.625 (82.745) Epoch: [63][9230/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.7258 (1.7542) Prec@1 54.375 (53.491) Prec@5 85.000 (82.745) Epoch: [63][9240/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.6382 (1.7542) Prec@1 57.500 (53.491) Prec@5 84.375 (82.745) Epoch: [63][9250/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.8821 (1.7542) Prec@1 48.750 (53.491) Prec@5 81.875 (82.745) Epoch: [63][9260/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.6613 (1.7542) Prec@1 53.750 (53.491) Prec@5 84.375 (82.745) Epoch: [63][9270/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.6208 (1.7541) Prec@1 58.750 (53.496) Prec@5 86.875 (82.746) Epoch: [63][9280/11272] Time 0.746 (0.776) Data 0.001 (0.002) Loss 1.8076 (1.7541) Prec@1 47.500 (53.494) Prec@5 84.375 (82.746) Epoch: [63][9290/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8669 (1.7541) Prec@1 51.875 (53.494) Prec@5 81.250 (82.747) Epoch: [63][9300/11272] Time 0.839 (0.776) Data 0.002 (0.002) Loss 1.5393 (1.7541) Prec@1 56.250 (53.496) Prec@5 87.500 (82.746) Epoch: [63][9310/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.7702 (1.7540) Prec@1 48.750 (53.496) Prec@5 82.500 (82.747) Epoch: [63][9320/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.8504 (1.7540) Prec@1 53.125 (53.497) Prec@5 84.375 (82.749) Epoch: [63][9330/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.6297 (1.7539) Prec@1 53.750 (53.499) Prec@5 86.250 (82.751) Epoch: [63][9340/11272] Time 0.730 (0.776) Data 0.000 (0.002) Loss 1.6422 (1.7539) Prec@1 61.875 (53.499) Prec@5 82.500 (82.750) Epoch: [63][9350/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7843 (1.7538) Prec@1 53.750 (53.500) Prec@5 81.875 (82.752) Epoch: [63][9360/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.5985 (1.7538) Prec@1 51.875 (53.499) Prec@5 88.750 (82.753) Epoch: [63][9370/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.9055 (1.7538) Prec@1 55.000 (53.500) Prec@5 78.750 (82.752) Epoch: [63][9380/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6627 (1.7538) Prec@1 55.000 (53.501) Prec@5 84.375 (82.753) Epoch: [63][9390/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.6895 (1.7538) Prec@1 55.625 (53.501) Prec@5 84.375 (82.752) Epoch: [63][9400/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.6202 (1.7537) Prec@1 59.375 (53.502) Prec@5 85.000 (82.753) Epoch: [63][9410/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 2.0477 (1.7538) Prec@1 45.625 (53.502) Prec@5 78.750 (82.752) Epoch: [63][9420/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6899 (1.7538) Prec@1 55.000 (53.501) Prec@5 84.375 (82.751) Epoch: [63][9430/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6880 (1.7538) Prec@1 53.750 (53.501) Prec@5 84.375 (82.751) Epoch: [63][9440/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6384 (1.7538) Prec@1 56.250 (53.500) Prec@5 82.500 (82.752) Epoch: [63][9450/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7796 (1.7539) Prec@1 52.500 (53.498) Prec@5 79.375 (82.751) Epoch: [63][9460/11272] Time 0.753 (0.776) Data 0.002 (0.002) Loss 1.7708 (1.7538) Prec@1 51.875 (53.498) Prec@5 82.500 (82.753) Epoch: [63][9470/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 2.0175 (1.7539) Prec@1 44.375 (53.496) Prec@5 77.500 (82.752) Epoch: [63][9480/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6499 (1.7539) Prec@1 55.625 (53.496) Prec@5 85.000 (82.752) Epoch: [63][9490/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7702 (1.7538) Prec@1 51.250 (53.496) Prec@5 79.375 (82.752) Epoch: [63][9500/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8374 (1.7539) Prec@1 51.875 (53.495) Prec@5 82.500 (82.751) Epoch: [63][9510/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.9570 (1.7539) Prec@1 51.875 (53.495) Prec@5 76.875 (82.751) Epoch: [63][9520/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.9615 (1.7540) Prec@1 52.500 (53.493) Prec@5 79.375 (82.749) Epoch: [63][9530/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.8199 (1.7540) Prec@1 52.500 (53.495) Prec@5 81.875 (82.750) Epoch: [63][9540/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.5564 (1.7540) Prec@1 54.375 (53.491) Prec@5 86.250 (82.749) Epoch: [63][9550/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.7738 (1.7540) Prec@1 48.125 (53.490) Prec@5 83.750 (82.749) Epoch: [63][9560/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.7777 (1.7540) Prec@1 53.750 (53.490) Prec@5 81.250 (82.749) Epoch: [63][9570/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7010 (1.7539) Prec@1 56.250 (53.490) Prec@5 86.250 (82.750) Epoch: [63][9580/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8530 (1.7539) Prec@1 49.375 (53.489) Prec@5 79.375 (82.749) Epoch: [63][9590/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.8432 (1.7540) Prec@1 51.875 (53.488) Prec@5 82.500 (82.749) Epoch: [63][9600/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.7828 (1.7539) Prec@1 52.500 (53.490) Prec@5 83.125 (82.750) Epoch: [63][9610/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7655 (1.7539) Prec@1 53.750 (53.493) Prec@5 80.000 (82.750) Epoch: [63][9620/11272] Time 0.880 (0.776) Data 0.001 (0.002) Loss 1.6117 (1.7539) Prec@1 53.750 (53.491) Prec@5 87.500 (82.751) Epoch: [63][9630/11272] Time 0.919 (0.776) Data 0.002 (0.002) Loss 1.5824 (1.7539) Prec@1 59.375 (53.491) Prec@5 84.375 (82.750) Epoch: [63][9640/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7942 (1.7539) Prec@1 56.875 (53.493) Prec@5 80.625 (82.750) Epoch: [63][9650/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7373 (1.7539) Prec@1 53.125 (53.495) Prec@5 86.875 (82.750) Epoch: [63][9660/11272] Time 0.862 (0.776) Data 0.001 (0.002) Loss 1.7268 (1.7538) Prec@1 51.250 (53.493) Prec@5 84.375 (82.751) Epoch: [63][9670/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.8834 (1.7538) Prec@1 49.375 (53.495) Prec@5 79.375 (82.752) Epoch: [63][9680/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.8374 (1.7537) Prec@1 49.375 (53.494) Prec@5 83.750 (82.751) Epoch: [63][9690/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6179 (1.7537) Prec@1 54.375 (53.493) Prec@5 87.500 (82.752) Epoch: [63][9700/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.7090 (1.7537) Prec@1 57.500 (53.493) Prec@5 82.500 (82.752) Epoch: [63][9710/11272] Time 0.751 (0.776) Data 0.003 (0.002) Loss 1.7786 (1.7537) Prec@1 53.750 (53.495) Prec@5 81.875 (82.752) Epoch: [63][9720/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8137 (1.7537) Prec@1 50.625 (53.495) Prec@5 81.250 (82.751) Epoch: [63][9730/11272] Time 0.897 (0.776) Data 0.002 (0.002) Loss 1.5896 (1.7537) Prec@1 55.625 (53.495) Prec@5 84.375 (82.751) Epoch: [63][9740/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.6794 (1.7536) Prec@1 55.000 (53.497) Prec@5 83.750 (82.751) Epoch: [63][9750/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9610 (1.7537) Prec@1 44.375 (53.496) Prec@5 78.750 (82.751) Epoch: [63][9760/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6830 (1.7537) Prec@1 53.750 (53.497) Prec@5 88.125 (82.751) Epoch: [63][9770/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.7527 (1.7537) Prec@1 54.375 (53.494) Prec@5 86.250 (82.750) Epoch: [63][9780/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 2.0063 (1.7538) Prec@1 45.625 (53.491) Prec@5 79.375 (82.750) Epoch: [63][9790/11272] Time 0.702 (0.776) Data 0.002 (0.002) Loss 1.7570 (1.7538) Prec@1 53.125 (53.493) Prec@5 82.500 (82.750) Epoch: [63][9800/11272] Time 0.691 (0.776) Data 0.003 (0.002) Loss 1.5992 (1.7538) Prec@1 58.750 (53.492) Prec@5 85.000 (82.750) Epoch: [63][9810/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.6514 (1.7538) Prec@1 48.125 (53.492) Prec@5 88.125 (82.750) Epoch: [63][9820/11272] Time 0.865 (0.776) Data 0.001 (0.002) Loss 1.8103 (1.7538) Prec@1 50.000 (53.492) Prec@5 81.875 (82.750) Epoch: [63][9830/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9102 (1.7539) Prec@1 51.875 (53.492) Prec@5 80.625 (82.749) Epoch: [63][9840/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.7035 (1.7539) Prec@1 53.125 (53.492) Prec@5 80.625 (82.747) Epoch: [63][9850/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.9770 (1.7540) Prec@1 55.625 (53.493) Prec@5 78.125 (82.746) Epoch: [63][9860/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7514 (1.7540) Prec@1 51.875 (53.492) Prec@5 81.250 (82.746) Epoch: [63][9870/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7110 (1.7539) Prec@1 56.875 (53.492) Prec@5 85.625 (82.748) Epoch: [63][9880/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7038 (1.7539) Prec@1 55.000 (53.492) Prec@5 81.250 (82.749) Epoch: [63][9890/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 2.0678 (1.7539) Prec@1 48.125 (53.494) Prec@5 77.500 (82.748) Epoch: [63][9900/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.6322 (1.7539) Prec@1 53.750 (53.492) Prec@5 86.250 (82.748) Epoch: [63][9910/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.6326 (1.7539) Prec@1 55.625 (53.494) Prec@5 84.375 (82.749) Epoch: [63][9920/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.9016 (1.7539) Prec@1 54.375 (53.495) Prec@5 81.250 (82.748) Epoch: [63][9930/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.6472 (1.7538) Prec@1 58.750 (53.497) Prec@5 81.875 (82.749) Epoch: [63][9940/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6953 (1.7538) Prec@1 56.250 (53.498) Prec@5 83.125 (82.748) Epoch: [63][9950/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.5494 (1.7537) Prec@1 61.875 (53.500) Prec@5 85.625 (82.749) Epoch: [63][9960/11272] Time 0.870 (0.776) Data 0.002 (0.002) Loss 1.9368 (1.7537) Prec@1 46.250 (53.501) Prec@5 80.625 (82.751) Epoch: [63][9970/11272] Time 0.710 (0.776) Data 0.003 (0.002) Loss 1.6703 (1.7537) Prec@1 56.250 (53.503) Prec@5 83.125 (82.751) Epoch: [63][9980/11272] Time 0.732 (0.776) Data 0.002 (0.002) Loss 1.7371 (1.7536) Prec@1 54.375 (53.503) Prec@5 82.500 (82.752) Epoch: [63][9990/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6084 (1.7537) Prec@1 51.875 (53.500) Prec@5 86.250 (82.752) Epoch: [63][10000/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.7268 (1.7536) Prec@1 56.250 (53.501) Prec@5 85.625 (82.753) Epoch: [63][10010/11272] Time 0.695 (0.776) Data 0.001 (0.002) Loss 1.6593 (1.7536) Prec@1 56.250 (53.502) Prec@5 83.125 (82.754) Epoch: [63][10020/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5776 (1.7536) Prec@1 58.750 (53.503) Prec@5 83.750 (82.755) Epoch: [63][10030/11272] Time 0.861 (0.776) Data 0.002 (0.002) Loss 1.6723 (1.7535) Prec@1 56.875 (53.503) Prec@5 81.250 (82.756) Epoch: [63][10040/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7194 (1.7536) Prec@1 49.375 (53.502) Prec@5 87.500 (82.755) Epoch: [63][10050/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.7767 (1.7536) Prec@1 55.000 (53.501) Prec@5 85.000 (82.754) Epoch: [63][10060/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6454 (1.7536) Prec@1 53.750 (53.500) Prec@5 86.875 (82.755) Epoch: [63][10070/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.6951 (1.7535) Prec@1 54.375 (53.503) Prec@5 85.000 (82.756) Epoch: [63][10080/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.5752 (1.7535) Prec@1 57.500 (53.502) Prec@5 90.625 (82.758) Epoch: [63][10090/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.5442 (1.7535) Prec@1 58.125 (53.501) Prec@5 87.500 (82.759) Epoch: [63][10100/11272] Time 0.835 (0.776) Data 0.003 (0.002) Loss 1.8261 (1.7534) Prec@1 52.500 (53.501) Prec@5 83.750 (82.760) Epoch: [63][10110/11272] Time 0.788 (0.776) Data 0.001 (0.002) Loss 1.5114 (1.7534) Prec@1 56.875 (53.500) Prec@5 90.000 (82.760) Epoch: [63][10120/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6789 (1.7534) Prec@1 53.750 (53.498) Prec@5 85.625 (82.761) Epoch: [63][10130/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7152 (1.7534) Prec@1 56.250 (53.498) Prec@5 83.125 (82.762) Epoch: [63][10140/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7693 (1.7534) Prec@1 53.750 (53.499) Prec@5 82.500 (82.762) Epoch: [63][10150/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.5767 (1.7534) Prec@1 60.625 (53.499) Prec@5 84.375 (82.761) Epoch: [63][10160/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.9226 (1.7534) Prec@1 42.500 (53.496) Prec@5 81.875 (82.761) Epoch: [63][10170/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 2.0305 (1.7535) Prec@1 43.750 (53.495) Prec@5 76.875 (82.760) Epoch: [63][10180/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8010 (1.7535) Prec@1 53.125 (53.495) Prec@5 79.375 (82.760) Epoch: [63][10190/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.7673 (1.7535) Prec@1 51.250 (53.494) Prec@5 83.750 (82.760) Epoch: [63][10200/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8354 (1.7534) Prec@1 51.875 (53.494) Prec@5 82.500 (82.760) Epoch: [63][10210/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5777 (1.7534) Prec@1 58.750 (53.495) Prec@5 81.875 (82.760) Epoch: [63][10220/11272] Time 0.788 (0.776) Data 0.001 (0.002) Loss 1.7292 (1.7535) Prec@1 54.375 (53.492) Prec@5 82.500 (82.756) Epoch: [63][10230/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8440 (1.7535) Prec@1 55.000 (53.493) Prec@5 83.125 (82.758) Epoch: [63][10240/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.6366 (1.7535) Prec@1 55.000 (53.493) Prec@5 84.375 (82.759) Epoch: [63][10250/11272] Time 0.869 (0.776) Data 0.001 (0.002) Loss 1.8950 (1.7535) Prec@1 54.375 (53.491) Prec@5 80.000 (82.759) Epoch: [63][10260/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.8151 (1.7536) Prec@1 53.125 (53.490) Prec@5 83.750 (82.757) Epoch: [63][10270/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.8576 (1.7536) Prec@1 51.250 (53.487) Prec@5 80.625 (82.756) Epoch: [63][10280/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.4990 (1.7536) Prec@1 56.875 (53.487) Prec@5 85.000 (82.757) Epoch: [63][10290/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.5136 (1.7536) Prec@1 55.000 (53.485) Prec@5 87.500 (82.756) Epoch: [63][10300/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.8382 (1.7536) Prec@1 53.125 (53.487) Prec@5 82.500 (82.755) Epoch: [63][10310/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7257 (1.7536) Prec@1 51.875 (53.487) Prec@5 83.125 (82.756) Epoch: [63][10320/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8960 (1.7536) Prec@1 52.500 (53.488) Prec@5 75.000 (82.755) Epoch: [63][10330/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8003 (1.7535) Prec@1 55.625 (53.489) Prec@5 80.000 (82.755) Epoch: [63][10340/11272] Time 0.874 (0.776) Data 0.002 (0.002) Loss 1.7067 (1.7535) Prec@1 58.125 (53.491) Prec@5 81.250 (82.755) Epoch: [63][10350/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7836 (1.7534) Prec@1 51.875 (53.492) Prec@5 80.000 (82.757) Epoch: [63][10360/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.5759 (1.7533) Prec@1 62.500 (53.494) Prec@5 87.500 (82.758) Epoch: [63][10370/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.7919 (1.7533) Prec@1 47.500 (53.493) Prec@5 83.125 (82.759) Epoch: [63][10380/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6111 (1.7533) Prec@1 56.250 (53.495) Prec@5 81.875 (82.758) Epoch: [63][10390/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.6685 (1.7533) Prec@1 55.000 (53.494) Prec@5 82.500 (82.758) Epoch: [63][10400/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.6408 (1.7534) Prec@1 55.000 (53.493) Prec@5 85.000 (82.758) Epoch: [63][10410/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.8281 (1.7534) Prec@1 54.375 (53.492) Prec@5 81.875 (82.756) Epoch: [63][10420/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6795 (1.7534) Prec@1 54.375 (53.491) Prec@5 82.500 (82.756) Epoch: [63][10430/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6126 (1.7534) Prec@1 51.875 (53.492) Prec@5 86.250 (82.757) Epoch: [63][10440/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8094 (1.7534) Prec@1 53.750 (53.490) Prec@5 80.625 (82.756) Epoch: [63][10450/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.7035 (1.7534) Prec@1 53.750 (53.490) Prec@5 85.000 (82.758) Epoch: [63][10460/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.8827 (1.7534) Prec@1 48.125 (53.490) Prec@5 81.250 (82.758) Epoch: [63][10470/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7027 (1.7534) Prec@1 51.250 (53.489) Prec@5 84.375 (82.760) Epoch: [63][10480/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 2.1159 (1.7534) Prec@1 43.750 (53.489) Prec@5 77.500 (82.759) Epoch: [63][10490/11272] Time 0.784 (0.776) Data 0.001 (0.002) Loss 1.7054 (1.7535) Prec@1 58.125 (53.488) Prec@5 83.750 (82.758) Epoch: [63][10500/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7436 (1.7534) Prec@1 53.750 (53.488) Prec@5 83.125 (82.758) Epoch: [63][10510/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7402 (1.7535) Prec@1 55.000 (53.487) Prec@5 82.500 (82.758) Epoch: [63][10520/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.8781 (1.7534) Prec@1 47.500 (53.487) Prec@5 82.500 (82.758) Epoch: [63][10530/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.8480 (1.7535) Prec@1 48.750 (53.484) Prec@5 78.750 (82.757) Epoch: [63][10540/11272] Time 0.684 (0.776) Data 0.001 (0.002) Loss 1.9816 (1.7535) Prec@1 50.625 (53.484) Prec@5 76.250 (82.757) Epoch: [63][10550/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 2.0164 (1.7536) Prec@1 43.750 (53.482) Prec@5 78.125 (82.756) Epoch: [63][10560/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.7533 (1.7536) Prec@1 59.375 (53.481) Prec@5 85.000 (82.756) Epoch: [63][10570/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.4291 (1.7536) Prec@1 61.250 (53.483) Prec@5 89.375 (82.757) Epoch: [63][10580/11272] Time 0.753 (0.776) Data 0.002 (0.002) Loss 1.5651 (1.7535) Prec@1 61.250 (53.484) Prec@5 83.750 (82.758) Epoch: [63][10590/11272] Time 0.930 (0.776) Data 0.002 (0.002) Loss 1.8069 (1.7534) Prec@1 48.750 (53.485) Prec@5 82.500 (82.760) Epoch: [63][10600/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.8233 (1.7534) Prec@1 51.875 (53.485) Prec@5 83.125 (82.760) Epoch: [63][10610/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.8257 (1.7534) Prec@1 52.500 (53.486) Prec@5 82.500 (82.760) Epoch: [63][10620/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.6732 (1.7534) Prec@1 50.625 (53.485) Prec@5 83.125 (82.761) Epoch: [63][10630/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8751 (1.7534) Prec@1 51.250 (53.485) Prec@5 79.375 (82.760) Epoch: [63][10640/11272] Time 0.708 (0.776) Data 0.003 (0.002) Loss 1.8986 (1.7535) Prec@1 51.250 (53.485) Prec@5 80.625 (82.760) Epoch: [63][10650/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7977 (1.7535) Prec@1 51.875 (53.483) Prec@5 81.875 (82.759) Epoch: [63][10660/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.8703 (1.7535) Prec@1 51.875 (53.483) Prec@5 81.250 (82.760) Epoch: [63][10670/11272] Time 0.849 (0.776) Data 0.001 (0.002) Loss 1.7074 (1.7535) Prec@1 50.625 (53.483) Prec@5 85.000 (82.761) Epoch: [63][10680/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.6095 (1.7535) Prec@1 55.000 (53.483) Prec@5 85.625 (82.760) Epoch: [63][10690/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.8533 (1.7535) Prec@1 51.250 (53.483) Prec@5 81.250 (82.761) Epoch: [63][10700/11272] Time 0.784 (0.776) Data 0.001 (0.002) Loss 1.7365 (1.7534) Prec@1 49.375 (53.483) Prec@5 84.375 (82.760) Epoch: [63][10710/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7002 (1.7535) Prec@1 55.625 (53.483) Prec@5 84.375 (82.759) Epoch: [63][10720/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.9601 (1.7536) Prec@1 47.500 (53.482) Prec@5 80.625 (82.758) Epoch: [63][10730/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.7601 (1.7536) Prec@1 54.375 (53.482) Prec@5 81.875 (82.757) Epoch: [63][10740/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.9125 (1.7537) Prec@1 49.375 (53.480) Prec@5 81.250 (82.757) Epoch: [63][10750/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.8760 (1.7536) Prec@1 46.875 (53.480) Prec@5 78.750 (82.757) Epoch: [63][10760/11272] Time 0.767 (0.776) Data 0.001 (0.002) Loss 1.9187 (1.7537) Prec@1 46.875 (53.480) Prec@5 75.625 (82.756) Epoch: [63][10770/11272] Time 0.771 (0.776) Data 0.001 (0.002) Loss 1.5082 (1.7536) Prec@1 62.500 (53.480) Prec@5 88.750 (82.757) Epoch: [63][10780/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.7932 (1.7536) Prec@1 55.000 (53.481) Prec@5 79.375 (82.757) Epoch: [63][10790/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.5947 (1.7536) Prec@1 57.500 (53.483) Prec@5 86.875 (82.759) Epoch: [63][10800/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.7760 (1.7536) Prec@1 54.375 (53.483) Prec@5 81.875 (82.759) Epoch: [63][10810/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.5738 (1.7535) Prec@1 57.500 (53.484) Prec@5 83.125 (82.758) Epoch: [63][10820/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.8959 (1.7535) Prec@1 48.125 (53.485) Prec@5 79.375 (82.759) Epoch: [63][10830/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.9265 (1.7535) Prec@1 48.125 (53.486) Prec@5 80.000 (82.760) Epoch: [63][10840/11272] Time 0.767 (0.776) Data 0.002 (0.002) Loss 1.8957 (1.7534) Prec@1 51.250 (53.486) Prec@5 81.875 (82.762) Epoch: [63][10850/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7515 (1.7535) Prec@1 53.750 (53.485) Prec@5 80.625 (82.761) Epoch: [63][10860/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6622 (1.7535) Prec@1 53.125 (53.484) Prec@5 86.250 (82.761) Epoch: [63][10870/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8123 (1.7536) Prec@1 53.750 (53.484) Prec@5 82.500 (82.759) Epoch: [63][10880/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.8356 (1.7536) Prec@1 51.250 (53.482) Prec@5 79.375 (82.760) Epoch: [63][10890/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.7236 (1.7535) Prec@1 51.875 (53.483) Prec@5 83.750 (82.760) Epoch: [63][10900/11272] Time 0.722 (0.776) Data 0.003 (0.002) Loss 1.4005 (1.7536) Prec@1 65.625 (53.481) Prec@5 86.250 (82.760) Epoch: [63][10910/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.9170 (1.7536) Prec@1 50.625 (53.480) Prec@5 79.375 (82.758) Epoch: [63][10920/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8450 (1.7536) Prec@1 52.500 (53.479) Prec@5 81.875 (82.757) Epoch: [63][10930/11272] Time 0.816 (0.776) Data 0.002 (0.002) Loss 1.7883 (1.7536) Prec@1 53.750 (53.481) Prec@5 80.625 (82.758) Epoch: [63][10940/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8716 (1.7536) Prec@1 51.250 (53.480) Prec@5 81.250 (82.758) Epoch: [63][10950/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8037 (1.7536) Prec@1 55.625 (53.482) Prec@5 81.250 (82.759) Epoch: [63][10960/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 2.0144 (1.7536) Prec@1 46.875 (53.481) Prec@5 80.625 (82.758) Epoch: [63][10970/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.6925 (1.7536) Prec@1 53.125 (53.481) Prec@5 83.750 (82.759) Epoch: [63][10980/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.9542 (1.7536) Prec@1 50.625 (53.479) Prec@5 81.250 (82.758) Epoch: [63][10990/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 1.9317 (1.7537) Prec@1 51.875 (53.479) Prec@5 78.125 (82.757) Epoch: [63][11000/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.6564 (1.7537) Prec@1 56.875 (53.479) Prec@5 83.125 (82.757) Epoch: [63][11010/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.9100 (1.7537) Prec@1 50.625 (53.477) Prec@5 82.500 (82.758) Epoch: [63][11020/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.6878 (1.7538) Prec@1 55.625 (53.477) Prec@5 81.875 (82.757) Epoch: [63][11030/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.6486 (1.7538) Prec@1 56.875 (53.477) Prec@5 89.375 (82.758) Epoch: [63][11040/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6695 (1.7537) Prec@1 52.500 (53.477) Prec@5 86.250 (82.758) Epoch: [63][11050/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.6798 (1.7537) Prec@1 56.250 (53.477) Prec@5 82.500 (82.758) Epoch: [63][11060/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5445 (1.7537) Prec@1 60.000 (53.477) Prec@5 84.375 (82.758) Epoch: [63][11070/11272] Time 0.873 (0.776) Data 0.002 (0.002) Loss 1.8183 (1.7537) Prec@1 46.875 (53.476) Prec@5 85.000 (82.759) Epoch: [63][11080/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.7948 (1.7538) Prec@1 56.250 (53.475) Prec@5 82.500 (82.758) Epoch: [63][11090/11272] Time 0.696 (0.776) Data 0.001 (0.002) Loss 1.6429 (1.7538) Prec@1 57.500 (53.475) Prec@5 85.625 (82.758) Epoch: [63][11100/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.9724 (1.7538) Prec@1 48.750 (53.474) Prec@5 80.000 (82.757) Epoch: [63][11110/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.6453 (1.7538) Prec@1 55.000 (53.473) Prec@5 83.750 (82.757) Epoch: [63][11120/11272] Time 0.816 (0.776) Data 0.002 (0.002) Loss 1.7553 (1.7538) Prec@1 51.875 (53.472) Prec@5 80.625 (82.757) Epoch: [63][11130/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.8552 (1.7539) Prec@1 52.500 (53.473) Prec@5 86.250 (82.756) Epoch: [63][11140/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.9833 (1.7539) Prec@1 47.500 (53.472) Prec@5 76.875 (82.756) Epoch: [63][11150/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.9318 (1.7539) Prec@1 44.375 (53.469) Prec@5 83.125 (82.755) Epoch: [63][11160/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.8804 (1.7540) Prec@1 53.125 (53.467) Prec@5 80.625 (82.755) Epoch: [63][11170/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.9291 (1.7540) Prec@1 54.375 (53.466) Prec@5 81.875 (82.755) Epoch: [63][11180/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.7908 (1.7540) Prec@1 48.750 (53.465) Prec@5 80.000 (82.754) Epoch: [63][11190/11272] Time 0.781 (0.776) Data 0.001 (0.002) Loss 1.4804 (1.7540) Prec@1 61.875 (53.464) Prec@5 88.125 (82.755) Epoch: [63][11200/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8862 (1.7540) Prec@1 47.500 (53.464) Prec@5 83.750 (82.755) Epoch: [63][11210/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7943 (1.7540) Prec@1 55.000 (53.466) Prec@5 81.875 (82.756) Epoch: [63][11220/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 2.1159 (1.7540) Prec@1 45.625 (53.465) Prec@5 76.250 (82.754) Epoch: [63][11230/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.5163 (1.7539) Prec@1 55.625 (53.467) Prec@5 87.500 (82.756) Epoch: [63][11240/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.3719 (1.7540) Prec@1 59.375 (53.467) Prec@5 87.500 (82.756) Epoch: [63][11250/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.9422 (1.7540) Prec@1 52.500 (53.467) Prec@5 77.500 (82.756) Epoch: [63][11260/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.9897 (1.7540) Prec@1 47.500 (53.468) Prec@5 78.750 (82.755) Epoch: [63][11270/11272] Time 0.764 (0.776) Data 0.000 (0.002) Loss 1.6078 (1.7540) Prec@1 55.625 (53.467) Prec@5 85.625 (82.755) Test: [0/229] Time 2.572 (2.572) Loss 1.1502 (1.1502) Prec@1 62.500 (62.500) Prec@5 95.625 (95.625) Test: [10/229] Time 0.392 (0.616) Loss 0.9997 (1.5394) Prec@1 67.500 (58.352) Prec@5 96.875 (88.125) Test: [20/229] Time 0.598 (0.534) Loss 1.8802 (1.6046) Prec@1 55.000 (56.101) Prec@5 81.875 (87.381) Test: [30/229] Time 0.413 (0.503) Loss 1.9300 (1.5515) Prec@1 48.750 (58.165) Prec@5 87.500 (87.702) Test: [40/229] Time 0.724 (0.489) Loss 0.4224 (1.5450) Prec@1 90.000 (58.262) Prec@5 95.625 (87.561) Test: [50/229] Time 0.408 (0.479) Loss 2.1740 (1.6017) Prec@1 38.750 (56.936) Prec@5 81.875 (86.299) Test: [60/229] Time 0.532 (0.472) Loss 2.0372 (1.5978) Prec@1 41.250 (56.885) Prec@5 84.375 (86.250) Test: [70/229] Time 0.339 (0.466) Loss 1.2585 (1.6098) Prec@1 71.875 (56.602) Prec@5 85.000 (86.144) Test: [80/229] Time 0.852 (0.466) Loss 2.1308 (1.6299) Prec@1 36.875 (55.679) Prec@5 83.750 (86.065) Test: [90/229] Time 0.331 (0.463) Loss 1.1529 (1.6344) Prec@1 72.500 (55.563) Prec@5 88.125 (86.113) Test: [100/229] Time 0.714 (0.462) Loss 2.0885 (1.6303) Prec@1 51.250 (55.835) Prec@5 81.875 (86.108) Test: [110/229] Time 0.282 (0.458) Loss 1.4707 (1.6120) Prec@1 60.000 (56.177) Prec@5 85.625 (86.301) Test: [120/229] Time 0.847 (0.458) Loss 2.7421 (1.6309) Prec@1 35.625 (55.692) Prec@5 76.250 (86.059) Test: [130/229] Time 0.327 (0.454) Loss 1.1202 (1.6168) Prec@1 63.750 (55.983) Prec@5 95.000 (86.260) Test: [140/229] Time 0.605 (0.454) Loss 1.7982 (1.6278) Prec@1 51.875 (55.691) Prec@5 85.625 (86.152) Test: [150/229] Time 0.432 (0.452) Loss 1.0308 (1.6389) Prec@1 77.500 (55.426) Prec@5 88.750 (86.039) Test: [160/229] Time 0.370 (0.451) Loss 1.7434 (1.6437) Prec@1 58.750 (55.276) Prec@5 83.750 (85.986) Test: [170/229] Time 0.359 (0.452) Loss 1.7252 (1.6551) Prec@1 51.250 (54.861) Prec@5 86.250 (85.844) Test: [180/229] Time 0.412 (0.450) Loss 2.4373 (1.6614) Prec@1 35.625 (54.838) Prec@5 71.250 (85.646) Test: [190/229] Time 0.477 (0.450) Loss 1.3115 (1.6519) Prec@1 62.500 (55.118) Prec@5 91.250 (85.723) Test: [200/229] Time 0.679 (0.451) Loss 1.6501 (1.6437) Prec@1 54.375 (55.205) Prec@5 85.000 (85.864) Test: [210/229] Time 0.326 (0.449) Loss 1.1372 (1.6317) Prec@1 62.500 (55.536) Prec@5 94.375 (86.049) Test: [220/229] Time 0.699 (0.450) Loss 1.4360 (1.6232) Prec@1 61.875 (55.877) Prec@5 90.000 (86.092) * Prec@1 56.127 Prec@5 86.122 Epoch: [64][0/11272] Time 4.144 (4.144) Data 3.191 (3.191) Loss 1.5142 (1.5142) Prec@1 60.625 (60.625) Prec@5 85.000 (85.000) Epoch: [64][10/11272] Time 0.724 (1.055) Data 0.001 (0.292) Loss 1.7372 (1.7302) Prec@1 53.750 (53.977) Prec@5 82.500 (83.636) Epoch: [64][20/11272] Time 0.748 (0.918) Data 0.001 (0.153) Loss 1.6649 (1.7573) Prec@1 53.125 (53.512) Prec@5 84.375 (82.381) Epoch: [64][30/11272] Time 0.807 (0.868) Data 0.001 (0.104) Loss 1.6498 (1.7357) Prec@1 58.125 (53.851) Prec@5 84.375 (82.823) Epoch: [64][40/11272] Time 0.777 (0.842) Data 0.001 (0.079) Loss 1.6535 (1.7390) Prec@1 58.125 (53.811) Prec@5 84.375 (82.896) Epoch: [64][50/11272] Time 0.710 (0.827) Data 0.001 (0.064) Loss 1.6789 (1.7291) Prec@1 55.000 (53.995) Prec@5 86.250 (83.358) Epoch: [64][60/11272] Time 0.712 (0.817) Data 0.001 (0.054) Loss 1.7496 (1.7305) Prec@1 56.250 (53.945) Prec@5 85.000 (83.330) Epoch: [64][70/11272] Time 0.826 (0.811) Data 0.001 (0.046) Loss 1.5981 (1.7321) Prec@1 61.875 (54.040) Prec@5 81.875 (83.195) Epoch: [64][80/11272] Time 0.814 (0.806) Data 0.001 (0.041) Loss 1.7859 (1.7310) Prec@1 55.000 (54.167) Prec@5 80.000 (83.194) Epoch: [64][90/11272] Time 0.721 (0.802) Data 0.002 (0.036) Loss 1.7580 (1.7302) Prec@1 50.625 (54.155) Prec@5 84.375 (83.221) Epoch: [64][100/11272] Time 0.727 (0.797) Data 0.002 (0.033) Loss 1.8457 (1.7330) Prec@1 50.000 (54.066) Prec@5 84.375 (83.150) Epoch: [64][110/11272] Time 0.817 (0.795) Data 0.001 (0.030) Loss 1.6158 (1.7305) Prec@1 56.250 (54.155) Prec@5 84.375 (83.209) Epoch: [64][120/11272] Time 0.707 (0.793) Data 0.001 (0.028) Loss 1.5702 (1.7367) Prec@1 58.750 (54.153) Prec@5 82.500 (83.042) Epoch: [64][130/11272] Time 0.714 (0.791) Data 0.001 (0.026) Loss 1.6092 (1.7335) Prec@1 56.250 (54.222) Prec@5 84.375 (83.068) Epoch: [64][140/11272] Time 0.840 (0.791) Data 0.001 (0.024) Loss 1.6507 (1.7381) Prec@1 53.750 (54.158) Prec@5 83.750 (82.988) Epoch: [64][150/11272] Time 0.872 (0.789) Data 0.001 (0.022) Loss 1.8556 (1.7426) Prec@1 52.500 (54.011) Prec@5 80.625 (82.885) Epoch: [64][160/11272] Time 0.709 (0.788) Data 0.001 (0.021) Loss 1.8412 (1.7413) Prec@1 53.750 (54.080) Prec@5 81.875 (82.873) Epoch: [64][170/11272] Time 0.721 (0.787) Data 0.002 (0.020) Loss 1.5868 (1.7423) Prec@1 51.875 (53.988) Prec@5 85.000 (82.928) Epoch: [64][180/11272] Time 0.824 (0.786) Data 0.001 (0.019) Loss 1.7083 (1.7390) Prec@1 56.250 (54.126) Prec@5 84.375 (82.983) Epoch: [64][190/11272] Time 0.854 (0.787) Data 0.001 (0.018) Loss 1.5742 (1.7353) Prec@1 57.500 (54.247) Prec@5 85.625 (83.020) Epoch: [64][200/11272] Time 0.708 (0.785) Data 0.001 (0.017) Loss 1.7559 (1.7341) Prec@1 51.250 (54.226) Prec@5 84.375 (83.019) Epoch: [64][210/11272] Time 0.715 (0.785) Data 0.001 (0.017) Loss 1.6392 (1.7339) Prec@1 55.000 (54.135) Prec@5 83.125 (82.986) Epoch: [64][220/11272] Time 0.835 (0.786) Data 0.001 (0.016) Loss 1.7196 (1.7345) Prec@1 55.625 (54.055) Prec@5 83.125 (82.981) Epoch: [64][230/11272] Time 0.795 (0.785) Data 0.001 (0.015) Loss 1.7285 (1.7341) Prec@1 52.500 (54.075) Prec@5 83.750 (82.949) Epoch: [64][240/11272] Time 0.685 (0.784) Data 0.001 (0.015) Loss 1.6250 (1.7341) Prec@1 55.625 (54.020) Prec@5 86.875 (83.039) Epoch: [64][250/11272] Time 0.848 (0.784) Data 0.003 (0.014) Loss 1.8295 (1.7328) Prec@1 47.500 (54.034) Prec@5 84.375 (83.088) Epoch: [64][260/11272] Time 0.817 (0.784) Data 0.001 (0.014) Loss 1.5645 (1.7316) Prec@1 60.625 (54.071) Prec@5 86.875 (83.087) Epoch: [64][270/11272] Time 0.707 (0.783) Data 0.001 (0.013) Loss 1.8379 (1.7360) Prec@1 50.625 (53.955) Prec@5 80.625 (83.028) Epoch: [64][280/11272] Time 0.732 (0.782) Data 0.002 (0.013) Loss 1.6217 (1.7365) Prec@1 58.125 (53.957) Prec@5 82.500 (83.025) Epoch: [64][290/11272] Time 0.817 (0.782) Data 0.001 (0.012) Loss 1.6269 (1.7353) Prec@1 55.000 (53.980) Prec@5 86.875 (83.058) Epoch: [64][300/11272] Time 0.840 (0.782) Data 0.002 (0.012) Loss 1.8621 (1.7346) Prec@1 51.250 (53.953) Prec@5 77.500 (83.056) Epoch: [64][310/11272] Time 0.725 (0.782) Data 0.001 (0.012) Loss 1.7962 (1.7349) Prec@1 54.375 (53.915) Prec@5 81.250 (83.043) Epoch: [64][320/11272] Time 0.722 (0.782) Data 0.001 (0.011) Loss 1.5774 (1.7347) Prec@1 60.625 (53.988) Prec@5 87.500 (83.049) Epoch: [64][330/11272] Time 0.814 (0.781) Data 0.001 (0.011) Loss 1.6608 (1.7349) Prec@1 54.375 (53.994) Prec@5 85.000 (83.085) Epoch: [64][340/11272] Time 0.825 (0.781) Data 0.001 (0.011) Loss 1.7070 (1.7333) Prec@1 55.625 (54.012) Prec@5 85.000 (83.116) Epoch: [64][350/11272] Time 0.747 (0.781) Data 0.002 (0.010) Loss 1.8215 (1.7332) Prec@1 49.375 (53.996) Prec@5 83.125 (83.129) Epoch: [64][360/11272] Time 0.706 (0.780) Data 0.001 (0.010) Loss 1.8614 (1.7336) Prec@1 50.000 (53.951) Prec@5 77.500 (83.123) Epoch: [64][370/11272] Time 0.831 (0.781) Data 0.001 (0.010) Loss 1.5471 (1.7327) Prec@1 56.250 (53.964) Prec@5 85.625 (83.135) Epoch: [64][380/11272] Time 0.765 (0.780) Data 0.002 (0.010) Loss 1.5746 (1.7331) Prec@1 56.250 (53.942) Prec@5 85.000 (83.148) Epoch: [64][390/11272] Time 0.709 (0.780) Data 0.001 (0.010) Loss 1.7332 (1.7332) Prec@1 50.000 (53.916) Prec@5 85.625 (83.151) Epoch: [64][400/11272] Time 0.829 (0.780) Data 0.001 (0.009) Loss 1.7445 (1.7351) Prec@1 50.000 (53.864) Prec@5 83.125 (83.117) Epoch: [64][410/11272] Time 0.813 (0.780) Data 0.001 (0.009) Loss 1.5110 (1.7345) Prec@1 60.625 (53.863) Prec@5 84.375 (83.096) Epoch: [64][420/11272] Time 0.723 (0.780) Data 0.002 (0.009) Loss 1.8848 (1.7353) Prec@1 50.000 (53.879) Prec@5 79.375 (83.067) Epoch: [64][430/11272] Time 0.706 (0.780) Data 0.001 (0.009) Loss 1.9502 (1.7357) Prec@1 48.750 (53.882) Prec@5 77.500 (83.045) Epoch: [64][440/11272] Time 0.821 (0.780) Data 0.001 (0.009) Loss 1.7830 (1.7349) Prec@1 52.500 (53.902) Prec@5 81.875 (83.064) Epoch: [64][450/11272] Time 0.839 (0.780) Data 0.001 (0.008) Loss 1.7938 (1.7334) Prec@1 53.125 (53.929) Prec@5 79.375 (83.103) Epoch: [64][460/11272] Time 0.710 (0.780) Data 0.001 (0.008) Loss 1.4489 (1.7333) Prec@1 61.250 (53.917) Prec@5 88.125 (83.111) Epoch: [64][470/11272] Time 0.724 (0.779) Data 0.001 (0.008) Loss 1.6602 (1.7332) Prec@1 63.750 (53.962) Prec@5 83.125 (83.092) Epoch: [64][480/11272] Time 0.821 (0.779) Data 0.001 (0.008) Loss 1.7406 (1.7320) Prec@1 56.250 (54.003) Prec@5 80.000 (83.108) Epoch: [64][490/11272] Time 0.794 (0.779) Data 0.001 (0.008) Loss 1.6918 (1.7309) Prec@1 54.375 (54.029) Prec@5 83.750 (83.120) Epoch: [64][500/11272] Time 0.713 (0.779) Data 0.001 (0.008) Loss 1.8159 (1.7308) Prec@1 55.000 (54.048) Prec@5 80.000 (83.108) Epoch: [64][510/11272] Time 0.878 (0.779) Data 0.001 (0.008) Loss 1.8480 (1.7306) Prec@1 51.250 (54.048) Prec@5 79.375 (83.094) Epoch: [64][520/11272] Time 0.863 (0.780) Data 0.001 (0.008) Loss 1.5607 (1.7299) Prec@1 59.375 (54.065) Prec@5 84.375 (83.083) Epoch: [64][530/11272] Time 0.711 (0.779) Data 0.001 (0.007) Loss 1.7885 (1.7308) Prec@1 51.875 (54.029) Prec@5 80.000 (83.067) Epoch: [64][540/11272] Time 0.709 (0.779) Data 0.001 (0.007) Loss 1.7756 (1.7312) Prec@1 52.500 (54.018) Prec@5 83.125 (83.053) Epoch: [64][550/11272] Time 0.868 (0.779) Data 0.001 (0.007) Loss 1.6991 (1.7308) Prec@1 54.375 (54.007) Prec@5 77.500 (83.067) Epoch: [64][560/11272] Time 0.818 (0.779) Data 0.001 (0.007) Loss 1.6279 (1.7295) Prec@1 56.875 (54.035) Prec@5 84.375 (83.094) Epoch: [64][570/11272] Time 0.737 (0.779) Data 0.001 (0.007) Loss 1.8793 (1.7287) Prec@1 50.000 (54.058) Prec@5 79.375 (83.114) Epoch: [64][580/11272] Time 0.724 (0.779) Data 0.001 (0.007) Loss 1.8927 (1.7287) Prec@1 53.750 (54.061) Prec@5 79.375 (83.123) Epoch: [64][590/11272] Time 0.775 (0.779) Data 0.001 (0.007) Loss 1.7700 (1.7282) Prec@1 55.000 (54.070) Prec@5 80.625 (83.140) Epoch: [64][600/11272] Time 0.808 (0.779) Data 0.001 (0.007) Loss 1.6740 (1.7282) Prec@1 51.875 (54.047) Prec@5 84.375 (83.150) Epoch: [64][610/11272] Time 0.713 (0.779) Data 0.001 (0.007) Loss 1.7319 (1.7281) Prec@1 54.375 (54.060) Prec@5 81.875 (83.142) Epoch: [64][620/11272] Time 0.740 (0.779) Data 0.002 (0.007) Loss 1.7864 (1.7284) Prec@1 51.250 (54.052) Prec@5 82.500 (83.142) Epoch: [64][630/11272] Time 0.824 (0.779) Data 0.001 (0.006) Loss 1.7208 (1.7277) Prec@1 56.875 (54.072) Prec@5 83.750 (83.158) Epoch: [64][640/11272] Time 0.711 (0.778) Data 0.003 (0.006) Loss 1.9959 (1.7277) Prec@1 47.500 (54.063) Prec@5 78.750 (83.173) Epoch: [64][650/11272] Time 0.720 (0.778) Data 0.001 (0.006) Loss 1.5877 (1.7292) Prec@1 56.250 (54.024) Prec@5 84.375 (83.136) Epoch: [64][660/11272] Time 0.810 (0.778) Data 0.001 (0.006) Loss 1.6153 (1.7290) Prec@1 58.750 (54.058) Prec@5 85.000 (83.140) Epoch: [64][670/11272] Time 0.874 (0.778) Data 0.001 (0.006) Loss 1.6395 (1.7294) Prec@1 60.000 (54.068) Prec@5 83.125 (83.133) Epoch: [64][680/11272] Time 0.710 (0.778) Data 0.002 (0.006) Loss 1.8484 (1.7297) Prec@1 53.750 (54.062) Prec@5 78.125 (83.116) Epoch: [64][690/11272] Time 0.718 (0.778) Data 0.002 (0.006) Loss 1.7369 (1.7307) Prec@1 53.125 (54.048) Prec@5 86.250 (83.107) Epoch: [64][700/11272] Time 0.832 (0.779) Data 0.002 (0.006) Loss 1.6276 (1.7316) Prec@1 56.250 (54.047) Prec@5 83.750 (83.068) Epoch: [64][710/11272] Time 0.836 (0.779) Data 0.001 (0.006) Loss 1.6758 (1.7320) Prec@1 49.375 (54.028) Prec@5 84.375 (83.056) Epoch: [64][720/11272] Time 0.714 (0.779) Data 0.002 (0.006) Loss 1.4939 (1.7315) Prec@1 62.500 (54.015) Prec@5 86.250 (83.059) Epoch: [64][730/11272] Time 0.700 (0.779) Data 0.001 (0.006) Loss 1.7300 (1.7312) Prec@1 51.250 (54.021) Prec@5 83.125 (83.063) Epoch: [64][740/11272] Time 0.827 (0.779) Data 0.001 (0.006) Loss 1.6846 (1.7311) Prec@1 55.625 (54.040) Prec@5 84.375 (83.066) Epoch: [64][750/11272] Time 0.801 (0.778) Data 0.001 (0.006) Loss 1.7596 (1.7305) Prec@1 55.000 (54.050) Prec@5 81.875 (83.077) Epoch: [64][760/11272] Time 0.712 (0.779) Data 0.001 (0.006) Loss 1.9459 (1.7310) Prec@1 48.125 (54.040) Prec@5 77.500 (83.072) Epoch: [64][770/11272] Time 0.840 (0.779) Data 0.002 (0.006) Loss 1.8160 (1.7313) Prec@1 53.125 (54.015) Prec@5 81.875 (83.064) Epoch: [64][780/11272] Time 0.816 (0.779) Data 0.001 (0.005) Loss 1.6372 (1.7316) Prec@1 53.125 (53.985) Prec@5 86.250 (83.067) Epoch: [64][790/11272] Time 0.716 (0.779) Data 0.001 (0.005) Loss 1.7746 (1.7323) Prec@1 54.375 (53.970) Prec@5 83.125 (83.063) Epoch: [64][800/11272] Time 0.707 (0.779) Data 0.001 (0.005) Loss 1.6182 (1.7320) Prec@1 54.375 (53.983) Prec@5 85.000 (83.066) Epoch: [64][810/11272] Time 0.825 (0.779) Data 0.002 (0.005) Loss 1.8512 (1.7318) Prec@1 51.875 (53.989) Prec@5 81.875 (83.085) Epoch: [64][820/11272] Time 0.802 (0.779) Data 0.001 (0.005) Loss 1.8475 (1.7318) Prec@1 51.875 (53.994) Prec@5 80.000 (83.085) Epoch: [64][830/11272] Time 0.737 (0.779) Data 0.002 (0.005) Loss 1.9091 (1.7320) Prec@1 48.750 (53.987) Prec@5 80.625 (83.087) Epoch: [64][840/11272] Time 0.688 (0.779) Data 0.001 (0.005) Loss 2.1703 (1.7322) Prec@1 45.000 (53.978) Prec@5 78.125 (83.087) Epoch: [64][850/11272] Time 0.812 (0.779) Data 0.001 (0.005) Loss 1.9254 (1.7325) Prec@1 50.000 (53.959) Prec@5 82.500 (83.091) Epoch: [64][860/11272] Time 0.791 (0.778) Data 0.001 (0.005) Loss 1.7039 (1.7327) Prec@1 56.875 (53.955) Prec@5 81.250 (83.076) Epoch: [64][870/11272] Time 0.742 (0.778) Data 0.001 (0.005) Loss 1.5319 (1.7328) Prec@1 58.125 (53.954) Prec@5 85.000 (83.062) Epoch: [64][880/11272] Time 0.714 (0.778) Data 0.001 (0.005) Loss 1.5185 (1.7322) Prec@1 56.250 (53.971) Prec@5 87.500 (83.080) Epoch: [64][890/11272] Time 0.819 (0.779) Data 0.001 (0.005) Loss 1.7040 (1.7320) Prec@1 57.500 (53.966) Prec@5 83.750 (83.095) Epoch: [64][900/11272] Time 0.835 (0.778) Data 0.001 (0.005) Loss 1.7322 (1.7307) Prec@1 53.125 (53.996) Prec@5 80.625 (83.110) Epoch: [64][910/11272] Time 0.711 (0.778) Data 0.001 (0.005) Loss 1.7403 (1.7316) Prec@1 49.375 (53.975) Prec@5 82.500 (83.100) Epoch: [64][920/11272] Time 0.823 (0.778) Data 0.001 (0.005) Loss 1.7341 (1.7325) Prec@1 53.750 (53.956) Prec@5 83.125 (83.082) Epoch: [64][930/11272] Time 0.823 (0.779) Data 0.001 (0.005) Loss 1.5652 (1.7317) Prec@1 58.750 (53.975) Prec@5 88.750 (83.097) Epoch: [64][940/11272] Time 0.725 (0.778) Data 0.001 (0.005) Loss 1.4975 (1.7314) Prec@1 60.000 (53.973) Prec@5 87.500 (83.109) Epoch: [64][950/11272] Time 0.729 (0.778) Data 0.002 (0.005) Loss 1.7679 (1.7308) Prec@1 53.750 (53.986) Prec@5 81.875 (83.116) Epoch: [64][960/11272] Time 0.816 (0.778) Data 0.001 (0.005) Loss 1.5895 (1.7304) Prec@1 56.250 (53.990) Prec@5 86.250 (83.126) Epoch: [64][970/11272] Time 0.824 (0.778) Data 0.001 (0.005) Loss 1.6891 (1.7303) Prec@1 52.500 (53.992) Prec@5 85.625 (83.126) Epoch: [64][980/11272] Time 0.724 (0.778) Data 0.001 (0.005) Loss 1.5867 (1.7308) Prec@1 57.500 (53.965) Prec@5 85.625 (83.113) Epoch: [64][990/11272] Time 0.728 (0.778) Data 0.001 (0.005) Loss 1.7784 (1.7309) Prec@1 52.500 (53.978) Prec@5 79.375 (83.104) Epoch: [64][1000/11272] Time 0.849 (0.778) Data 0.001 (0.005) Loss 1.7117 (1.7306) Prec@1 51.875 (53.986) Prec@5 84.375 (83.116) Epoch: [64][1010/11272] Time 0.823 (0.778) Data 0.001 (0.005) Loss 1.6050 (1.7308) Prec@1 53.125 (53.987) Prec@5 86.875 (83.115) Epoch: [64][1020/11272] Time 0.746 (0.778) Data 0.001 (0.005) Loss 1.6301 (1.7316) Prec@1 60.625 (53.975) Prec@5 85.000 (83.093) Epoch: [64][1030/11272] Time 0.710 (0.778) Data 0.001 (0.004) Loss 1.6609 (1.7317) Prec@1 59.375 (53.980) Prec@5 85.000 (83.094) Epoch: [64][1040/11272] Time 0.820 (0.778) Data 0.001 (0.004) Loss 1.9218 (1.7326) Prec@1 48.125 (53.947) Prec@5 80.625 (83.088) Epoch: [64][1050/11272] Time 0.712 (0.778) Data 0.001 (0.004) Loss 1.7783 (1.7337) Prec@1 53.750 (53.935) Prec@5 82.500 (83.073) Epoch: [64][1060/11272] Time 0.712 (0.778) Data 0.002 (0.004) Loss 1.6294 (1.7345) Prec@1 61.250 (53.933) Prec@5 85.000 (83.054) Epoch: [64][1070/11272] Time 0.872 (0.778) Data 0.002 (0.004) Loss 1.8281 (1.7342) Prec@1 51.875 (53.936) Prec@5 80.625 (83.056) Epoch: [64][1080/11272] Time 0.790 (0.778) Data 0.001 (0.004) Loss 1.6118 (1.7341) Prec@1 55.000 (53.928) Prec@5 83.125 (83.065) Epoch: [64][1090/11272] Time 0.682 (0.778) Data 0.001 (0.004) Loss 1.7827 (1.7340) Prec@1 55.000 (53.938) Prec@5 79.375 (83.067) Epoch: [64][1100/11272] Time 0.749 (0.778) Data 0.002 (0.004) Loss 1.7484 (1.7338) Prec@1 50.625 (53.933) Prec@5 84.375 (83.070) Epoch: [64][1110/11272] Time 0.841 (0.778) Data 0.001 (0.004) Loss 1.9723 (1.7334) Prec@1 45.000 (53.947) Prec@5 79.375 (83.077) Epoch: [64][1120/11272] Time 0.819 (0.778) Data 0.001 (0.004) Loss 1.7539 (1.7326) Prec@1 52.500 (53.961) Prec@5 83.750 (83.085) Epoch: [64][1130/11272] Time 0.705 (0.778) Data 0.001 (0.004) Loss 1.9348 (1.7329) Prec@1 47.500 (53.956) Prec@5 75.625 (83.080) Epoch: [64][1140/11272] Time 0.709 (0.778) Data 0.001 (0.004) Loss 1.7758 (1.7329) Prec@1 53.750 (53.953) Prec@5 85.000 (83.081) Epoch: [64][1150/11272] Time 0.820 (0.778) Data 0.001 (0.004) Loss 1.5805 (1.7329) Prec@1 58.750 (53.956) Prec@5 85.000 (83.084) Epoch: [64][1160/11272] Time 0.815 (0.778) Data 0.001 (0.004) Loss 1.8167 (1.7321) Prec@1 53.125 (53.972) Prec@5 82.500 (83.099) Epoch: [64][1170/11272] Time 0.716 (0.778) Data 0.001 (0.004) Loss 1.5352 (1.7314) Prec@1 58.125 (53.973) Prec@5 88.750 (83.109) Epoch: [64][1180/11272] Time 0.803 (0.778) Data 0.001 (0.004) Loss 1.8187 (1.7318) Prec@1 52.500 (53.973) Prec@5 82.500 (83.105) Epoch: [64][1190/11272] Time 0.808 (0.778) Data 0.001 (0.004) Loss 1.6272 (1.7320) Prec@1 58.750 (53.963) Prec@5 84.375 (83.097) Epoch: [64][1200/11272] Time 0.718 (0.777) Data 0.001 (0.004) Loss 1.6843 (1.7323) Prec@1 58.750 (53.966) Prec@5 82.500 (83.090) Epoch: [64][1210/11272] Time 0.717 (0.777) Data 0.001 (0.004) Loss 1.6755 (1.7321) Prec@1 55.000 (53.960) Prec@5 85.625 (83.101) Epoch: [64][1220/11272] Time 0.816 (0.777) Data 0.001 (0.004) Loss 1.4609 (1.7319) Prec@1 60.000 (53.970) Prec@5 86.250 (83.096) Epoch: [64][1230/11272] Time 0.877 (0.777) Data 0.001 (0.004) Loss 1.6900 (1.7320) Prec@1 60.000 (53.980) Prec@5 84.375 (83.096) Epoch: [64][1240/11272] Time 0.714 (0.777) Data 0.001 (0.004) Loss 1.6379 (1.7316) Prec@1 55.000 (53.989) Prec@5 85.000 (83.103) Epoch: [64][1250/11272] Time 0.705 (0.777) Data 0.001 (0.004) Loss 1.6162 (1.7311) Prec@1 56.875 (53.991) Prec@5 83.750 (83.113) Epoch: [64][1260/11272] Time 0.874 (0.777) Data 0.001 (0.004) Loss 1.7378 (1.7309) Prec@1 59.375 (53.991) Prec@5 84.375 (83.120) Epoch: [64][1270/11272] Time 0.820 (0.777) Data 0.001 (0.004) Loss 1.7082 (1.7304) Prec@1 51.250 (54.011) Prec@5 83.125 (83.128) Epoch: [64][1280/11272] Time 0.716 (0.777) Data 0.001 (0.004) Loss 1.6341 (1.7297) Prec@1 59.375 (54.041) Prec@5 86.250 (83.140) Epoch: [64][1290/11272] Time 0.713 (0.777) Data 0.001 (0.004) Loss 1.7275 (1.7293) Prec@1 53.125 (54.042) Prec@5 81.875 (83.139) Epoch: [64][1300/11272] Time 0.803 (0.777) Data 0.001 (0.004) Loss 1.5985 (1.7288) Prec@1 56.250 (54.048) Prec@5 86.875 (83.154) Epoch: [64][1310/11272] Time 0.713 (0.777) Data 0.003 (0.004) Loss 1.8431 (1.7286) Prec@1 49.375 (54.055) Prec@5 80.000 (83.148) Epoch: [64][1320/11272] Time 0.740 (0.777) Data 0.002 (0.004) Loss 1.7605 (1.7285) Prec@1 54.375 (54.052) Prec@5 84.375 (83.150) Epoch: [64][1330/11272] Time 0.829 (0.777) Data 0.001 (0.004) Loss 1.8435 (1.7290) Prec@1 52.500 (54.035) Prec@5 84.375 (83.146) Epoch: [64][1340/11272] Time 0.807 (0.777) Data 0.001 (0.004) Loss 1.5956 (1.7293) Prec@1 60.625 (54.035) Prec@5 84.375 (83.137) Epoch: [64][1350/11272] Time 0.717 (0.777) Data 0.001 (0.004) Loss 1.7742 (1.7291) Prec@1 51.875 (54.035) Prec@5 81.250 (83.139) Epoch: [64][1360/11272] Time 0.737 (0.777) Data 0.001 (0.004) Loss 1.7109 (1.7291) Prec@1 55.000 (54.030) Prec@5 80.625 (83.137) Epoch: [64][1370/11272] Time 0.833 (0.777) Data 0.001 (0.004) Loss 2.0804 (1.7293) Prec@1 46.875 (54.016) Prec@5 76.875 (83.122) Epoch: [64][1380/11272] Time 0.879 (0.777) Data 0.001 (0.004) Loss 1.7458 (1.7292) Prec@1 56.875 (54.017) Prec@5 83.750 (83.125) Epoch: [64][1390/11272] Time 0.711 (0.777) Data 0.001 (0.004) Loss 1.7540 (1.7289) Prec@1 52.500 (54.020) Prec@5 82.500 (83.129) Epoch: [64][1400/11272] Time 0.702 (0.777) Data 0.001 (0.004) Loss 1.6749 (1.7293) Prec@1 56.250 (54.008) Prec@5 85.000 (83.129) Epoch: [64][1410/11272] Time 0.850 (0.777) Data 0.002 (0.004) Loss 1.6252 (1.7292) Prec@1 54.375 (54.005) Prec@5 83.125 (83.134) Epoch: [64][1420/11272] Time 0.815 (0.777) Data 0.002 (0.004) Loss 1.6537 (1.7291) Prec@1 53.750 (54.011) Prec@5 84.375 (83.131) Epoch: [64][1430/11272] Time 0.705 (0.777) Data 0.001 (0.004) Loss 1.6818 (1.7289) Prec@1 54.375 (54.014) Prec@5 85.625 (83.129) Epoch: [64][1440/11272] Time 0.803 (0.777) Data 0.001 (0.004) Loss 1.7320 (1.7292) Prec@1 55.000 (54.004) Prec@5 82.500 (83.124) Epoch: [64][1450/11272] Time 0.837 (0.777) Data 0.001 (0.004) Loss 1.7817 (1.7290) Prec@1 46.250 (53.999) Prec@5 85.000 (83.130) Epoch: [64][1460/11272] Time 0.724 (0.777) Data 0.001 (0.004) Loss 1.6864 (1.7292) Prec@1 56.875 (53.989) Prec@5 83.125 (83.129) Epoch: [64][1470/11272] Time 0.709 (0.777) Data 0.001 (0.004) Loss 1.7090 (1.7289) Prec@1 58.750 (53.999) Prec@5 81.875 (83.136) Epoch: [64][1480/11272] Time 0.807 (0.777) Data 0.001 (0.004) Loss 1.6047 (1.7293) Prec@1 53.125 (53.986) Prec@5 85.000 (83.132) Epoch: [64][1490/11272] Time 0.804 (0.777) Data 0.001 (0.004) Loss 1.8840 (1.7294) Prec@1 45.000 (53.991) Prec@5 80.000 (83.126) Epoch: [64][1500/11272] Time 0.710 (0.777) Data 0.001 (0.004) Loss 1.6612 (1.7290) Prec@1 53.125 (53.992) Prec@5 84.375 (83.132) Epoch: [64][1510/11272] Time 0.709 (0.777) Data 0.001 (0.004) Loss 2.0017 (1.7296) Prec@1 48.125 (53.980) Prec@5 76.250 (83.123) Epoch: [64][1520/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.7249 (1.7293) Prec@1 51.250 (53.986) Prec@5 85.000 (83.127) Epoch: [64][1530/11272] Time 0.781 (0.776) Data 0.001 (0.003) Loss 1.6362 (1.7295) Prec@1 58.750 (53.980) Prec@5 81.875 (83.126) Epoch: [64][1540/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.8521 (1.7298) Prec@1 51.875 (53.970) Prec@5 83.125 (83.124) Epoch: [64][1550/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.8463 (1.7302) Prec@1 48.125 (53.959) Prec@5 80.625 (83.117) Epoch: [64][1560/11272] Time 0.867 (0.776) Data 0.001 (0.003) Loss 1.6368 (1.7298) Prec@1 54.375 (53.965) Prec@5 88.125 (83.121) Epoch: [64][1570/11272] Time 0.729 (0.776) Data 0.003 (0.003) Loss 1.6827 (1.7302) Prec@1 55.625 (53.957) Prec@5 85.625 (83.118) Epoch: [64][1580/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.9927 (1.7307) Prec@1 46.875 (53.942) Prec@5 80.625 (83.114) Epoch: [64][1590/11272] Time 0.805 (0.776) Data 0.001 (0.003) Loss 1.7582 (1.7311) Prec@1 50.625 (53.934) Prec@5 81.875 (83.104) Epoch: [64][1600/11272] Time 0.816 (0.776) Data 0.002 (0.003) Loss 2.0208 (1.7312) Prec@1 50.000 (53.935) Prec@5 78.750 (83.104) Epoch: [64][1610/11272] Time 0.733 (0.776) Data 0.001 (0.003) Loss 1.6934 (1.7311) Prec@1 48.750 (53.942) Prec@5 84.375 (83.103) Epoch: [64][1620/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.8047 (1.7310) Prec@1 54.375 (53.941) Prec@5 83.125 (83.108) Epoch: [64][1630/11272] Time 0.848 (0.776) Data 0.001 (0.003) Loss 1.7091 (1.7316) Prec@1 58.125 (53.931) Prec@5 81.875 (83.092) Epoch: [64][1640/11272] Time 0.877 (0.776) Data 0.002 (0.003) Loss 1.9439 (1.7321) Prec@1 50.000 (53.926) Prec@5 79.375 (83.078) Epoch: [64][1650/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.8198 (1.7321) Prec@1 54.375 (53.933) Prec@5 81.875 (83.078) Epoch: [64][1660/11272] Time 0.723 (0.776) Data 0.002 (0.003) Loss 1.5882 (1.7321) Prec@1 60.000 (53.938) Prec@5 86.250 (83.079) Epoch: [64][1670/11272] Time 0.826 (0.776) Data 0.001 (0.003) Loss 2.0974 (1.7323) Prec@1 47.500 (53.932) Prec@5 78.750 (83.073) Epoch: [64][1680/11272] Time 0.835 (0.776) Data 0.001 (0.003) Loss 1.7985 (1.7322) Prec@1 53.125 (53.944) Prec@5 81.250 (83.072) Epoch: [64][1690/11272] Time 0.703 (0.776) Data 0.001 (0.003) Loss 1.6876 (1.7324) Prec@1 53.750 (53.944) Prec@5 85.625 (83.069) Epoch: [64][1700/11272] Time 0.830 (0.776) Data 0.001 (0.003) Loss 1.5947 (1.7327) Prec@1 57.500 (53.935) Prec@5 83.750 (83.066) Epoch: [64][1710/11272] Time 0.818 (0.776) Data 0.001 (0.003) Loss 1.8408 (1.7327) Prec@1 55.625 (53.941) Prec@5 80.000 (83.072) Epoch: [64][1720/11272] Time 0.761 (0.776) Data 0.001 (0.003) Loss 1.6231 (1.7329) Prec@1 56.250 (53.939) Prec@5 83.125 (83.067) Epoch: [64][1730/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 2.0881 (1.7334) Prec@1 46.250 (53.924) Prec@5 80.000 (83.057) Epoch: [64][1740/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.7827 (1.7334) Prec@1 51.250 (53.919) Prec@5 86.250 (83.059) Epoch: [64][1750/11272] Time 0.805 (0.776) Data 0.001 (0.003) Loss 1.6696 (1.7337) Prec@1 57.500 (53.913) Prec@5 81.250 (83.054) Epoch: [64][1760/11272] Time 0.724 (0.776) Data 0.002 (0.003) Loss 1.7553 (1.7339) Prec@1 52.500 (53.914) Prec@5 81.875 (83.048) Epoch: [64][1770/11272] Time 0.743 (0.776) Data 0.001 (0.003) Loss 1.7494 (1.7342) Prec@1 55.000 (53.910) Prec@5 83.750 (83.045) Epoch: [64][1780/11272] Time 0.834 (0.776) Data 0.001 (0.003) Loss 1.5292 (1.7341) Prec@1 54.375 (53.910) Prec@5 85.000 (83.050) Epoch: [64][1790/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.8454 (1.7344) Prec@1 56.875 (53.897) Prec@5 78.750 (83.044) Epoch: [64][1800/11272] Time 0.732 (0.776) Data 0.001 (0.003) Loss 1.4989 (1.7347) Prec@1 61.250 (53.888) Prec@5 88.125 (83.042) Epoch: [64][1810/11272] Time 0.701 (0.776) Data 0.001 (0.003) Loss 2.0459 (1.7348) Prec@1 43.750 (53.886) Prec@5 77.500 (83.041) Epoch: [64][1820/11272] Time 0.819 (0.776) Data 0.001 (0.003) Loss 1.7960 (1.7353) Prec@1 53.750 (53.877) Prec@5 79.375 (83.036) Epoch: [64][1830/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.6149 (1.7350) Prec@1 53.125 (53.877) Prec@5 86.250 (83.041) Epoch: [64][1840/11272] Time 0.725 (0.776) Data 0.001 (0.003) Loss 1.6879 (1.7351) Prec@1 56.875 (53.879) Prec@5 82.500 (83.036) Epoch: [64][1850/11272] Time 0.856 (0.776) Data 0.001 (0.003) Loss 1.8212 (1.7353) Prec@1 51.250 (53.873) Prec@5 81.875 (83.037) Epoch: [64][1860/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.6691 (1.7351) Prec@1 53.750 (53.884) Prec@5 83.125 (83.033) Epoch: [64][1870/11272] Time 0.706 (0.776) Data 0.001 (0.003) Loss 1.6753 (1.7350) Prec@1 56.250 (53.889) Prec@5 83.125 (83.029) Epoch: [64][1880/11272] Time 0.731 (0.776) Data 0.002 (0.003) Loss 1.8553 (1.7350) Prec@1 50.000 (53.894) Prec@5 80.000 (83.029) Epoch: [64][1890/11272] Time 0.809 (0.776) Data 0.001 (0.003) Loss 1.8900 (1.7351) Prec@1 50.000 (53.895) Prec@5 76.875 (83.025) Epoch: [64][1900/11272] Time 0.852 (0.776) Data 0.001 (0.003) Loss 1.5643 (1.7354) Prec@1 56.875 (53.887) Prec@5 84.375 (83.020) Epoch: [64][1910/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.5934 (1.7353) Prec@1 55.625 (53.888) Prec@5 86.250 (83.024) Epoch: [64][1920/11272] Time 0.758 (0.776) Data 0.002 (0.003) Loss 1.8260 (1.7351) Prec@1 50.000 (53.896) Prec@5 81.250 (83.027) Epoch: [64][1930/11272] Time 0.859 (0.776) Data 0.001 (0.003) Loss 1.7909 (1.7353) Prec@1 51.875 (53.885) Prec@5 81.875 (83.031) Epoch: [64][1940/11272] Time 0.827 (0.776) Data 0.001 (0.003) Loss 1.8625 (1.7354) Prec@1 50.625 (53.880) Prec@5 82.500 (83.035) Epoch: [64][1950/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.6362 (1.7351) Prec@1 53.125 (53.880) Prec@5 84.375 (83.045) Epoch: [64][1960/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.7631 (1.7352) Prec@1 53.125 (53.883) Prec@5 84.375 (83.046) Epoch: [64][1970/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.7153 (1.7353) Prec@1 55.000 (53.883) Prec@5 82.500 (83.039) Epoch: [64][1980/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.8912 (1.7358) Prec@1 48.750 (53.872) Prec@5 81.875 (83.031) Epoch: [64][1990/11272] Time 0.726 (0.776) Data 0.002 (0.003) Loss 1.7620 (1.7357) Prec@1 50.000 (53.871) Prec@5 86.250 (83.040) Epoch: [64][2000/11272] Time 0.822 (0.776) Data 0.001 (0.003) Loss 1.7693 (1.7359) Prec@1 51.250 (53.866) Prec@5 81.250 (83.039) Epoch: [64][2010/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.7162 (1.7359) Prec@1 51.250 (53.867) Prec@5 81.875 (83.036) Epoch: [64][2020/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.5525 (1.7359) Prec@1 58.750 (53.867) Prec@5 83.750 (83.037) Epoch: [64][2030/11272] Time 0.734 (0.776) Data 0.001 (0.003) Loss 1.9315 (1.7360) Prec@1 48.125 (53.864) Prec@5 81.250 (83.038) Epoch: [64][2040/11272] Time 0.844 (0.776) Data 0.001 (0.003) Loss 1.6681 (1.7361) Prec@1 52.500 (53.861) Prec@5 85.625 (83.032) Epoch: [64][2050/11272] Time 0.848 (0.776) Data 0.001 (0.003) Loss 1.8025 (1.7363) Prec@1 47.500 (53.856) Prec@5 84.375 (83.030) Epoch: [64][2060/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.5940 (1.7361) Prec@1 55.625 (53.866) Prec@5 88.750 (83.036) Epoch: [64][2070/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.7482 (1.7359) Prec@1 51.875 (53.869) Prec@5 83.750 (83.042) Epoch: [64][2080/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.7671 (1.7359) Prec@1 54.375 (53.866) Prec@5 80.000 (83.041) Epoch: [64][2090/11272] Time 0.818 (0.776) Data 0.001 (0.003) Loss 1.9560 (1.7361) Prec@1 50.000 (53.863) Prec@5 80.625 (83.037) Epoch: [64][2100/11272] Time 0.776 (0.776) Data 0.002 (0.003) Loss 1.9397 (1.7365) Prec@1 46.875 (53.857) Prec@5 79.375 (83.033) Epoch: [64][2110/11272] Time 0.834 (0.776) Data 0.002 (0.003) Loss 1.8950 (1.7365) Prec@1 48.750 (53.851) Prec@5 82.500 (83.034) Epoch: [64][2120/11272] Time 0.830 (0.776) Data 0.001 (0.003) Loss 2.0148 (1.7369) Prec@1 45.000 (53.838) Prec@5 76.875 (83.026) Epoch: [64][2130/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.6651 (1.7369) Prec@1 54.375 (53.845) Prec@5 84.375 (83.022) Epoch: [64][2140/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.7911 (1.7367) Prec@1 51.250 (53.851) Prec@5 79.375 (83.021) Epoch: [64][2150/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.7376 (1.7367) Prec@1 50.625 (53.850) Prec@5 81.875 (83.017) Epoch: [64][2160/11272] Time 0.806 (0.776) Data 0.001 (0.003) Loss 1.9186 (1.7364) Prec@1 50.625 (53.852) Prec@5 82.500 (83.028) Epoch: [64][2170/11272] Time 0.731 (0.776) Data 0.002 (0.003) Loss 1.6404 (1.7363) Prec@1 53.750 (53.858) Prec@5 84.375 (83.028) Epoch: [64][2180/11272] Time 0.729 (0.776) Data 0.001 (0.003) Loss 1.6887 (1.7365) Prec@1 56.875 (53.859) Prec@5 83.125 (83.028) Epoch: [64][2190/11272] Time 0.820 (0.776) Data 0.001 (0.003) Loss 1.6205 (1.7364) Prec@1 58.125 (53.864) Prec@5 83.750 (83.028) Epoch: [64][2200/11272] Time 0.808 (0.776) Data 0.002 (0.003) Loss 2.0331 (1.7365) Prec@1 48.750 (53.861) Prec@5 76.250 (83.030) Epoch: [64][2210/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.7023 (1.7366) Prec@1 60.000 (53.860) Prec@5 85.625 (83.034) Epoch: [64][2220/11272] Time 0.734 (0.776) Data 0.001 (0.003) Loss 1.5849 (1.7363) Prec@1 53.125 (53.864) Prec@5 85.000 (83.032) Epoch: [64][2230/11272] Time 0.796 (0.776) Data 0.001 (0.003) Loss 1.6146 (1.7361) Prec@1 56.250 (53.872) Prec@5 84.375 (83.032) Epoch: [64][2240/11272] Time 0.717 (0.776) Data 0.003 (0.003) Loss 1.6934 (1.7361) Prec@1 55.000 (53.866) Prec@5 86.250 (83.031) Epoch: [64][2250/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 2.0947 (1.7364) Prec@1 48.125 (53.861) Prec@5 75.625 (83.024) Epoch: [64][2260/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.8173 (1.7368) Prec@1 46.875 (53.843) Prec@5 83.125 (83.021) Epoch: [64][2270/11272] Time 0.817 (0.776) Data 0.001 (0.003) Loss 1.7976 (1.7368) Prec@1 57.500 (53.851) Prec@5 83.125 (83.020) Epoch: [64][2280/11272] Time 0.716 (0.776) Data 0.002 (0.003) Loss 1.5596 (1.7367) Prec@1 56.875 (53.852) Prec@5 83.750 (83.020) Epoch: [64][2290/11272] Time 0.729 (0.776) Data 0.001 (0.003) Loss 1.9229 (1.7367) Prec@1 48.750 (53.850) Prec@5 79.375 (83.022) Epoch: [64][2300/11272] Time 0.848 (0.776) Data 0.001 (0.003) Loss 1.5689 (1.7368) Prec@1 57.500 (53.850) Prec@5 86.250 (83.018) Epoch: [64][2310/11272] Time 0.800 (0.776) Data 0.001 (0.003) Loss 1.8319 (1.7370) Prec@1 48.125 (53.846) Prec@5 81.875 (83.013) Epoch: [64][2320/11272] Time 0.737 (0.776) Data 0.001 (0.003) Loss 1.5319 (1.7370) Prec@1 56.875 (53.850) Prec@5 86.875 (83.014) Epoch: [64][2330/11272] Time 0.723 (0.776) Data 0.001 (0.003) Loss 1.8321 (1.7370) Prec@1 51.875 (53.849) Prec@5 80.625 (83.017) Epoch: [64][2340/11272] Time 0.867 (0.776) Data 0.001 (0.003) Loss 1.9726 (1.7371) Prec@1 55.625 (53.853) Prec@5 77.500 (83.014) Epoch: [64][2350/11272] Time 0.799 (0.776) Data 0.001 (0.003) Loss 1.6395 (1.7370) Prec@1 56.250 (53.854) Prec@5 84.375 (83.014) Epoch: [64][2360/11272] Time 0.712 (0.776) Data 0.001 (0.003) Loss 1.5477 (1.7368) Prec@1 56.250 (53.857) Prec@5 84.375 (83.017) Epoch: [64][2370/11272] Time 0.833 (0.776) Data 0.001 (0.003) Loss 1.6055 (1.7365) Prec@1 56.875 (53.862) Prec@5 85.625 (83.019) Epoch: [64][2380/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.7121 (1.7365) Prec@1 49.375 (53.862) Prec@5 86.250 (83.018) Epoch: [64][2390/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.9759 (1.7363) Prec@1 48.125 (53.868) Prec@5 76.250 (83.021) Epoch: [64][2400/11272] Time 0.702 (0.776) Data 0.001 (0.003) Loss 1.5483 (1.7359) Prec@1 59.375 (53.877) Prec@5 85.000 (83.024) Epoch: [64][2410/11272] Time 0.881 (0.776) Data 0.002 (0.003) Loss 1.6072 (1.7361) Prec@1 56.875 (53.873) Prec@5 85.000 (83.021) Epoch: [64][2420/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.8520 (1.7359) Prec@1 53.750 (53.879) Prec@5 82.500 (83.021) Epoch: [64][2430/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.6954 (1.7358) Prec@1 56.250 (53.883) Prec@5 83.750 (83.022) Epoch: [64][2440/11272] Time 0.723 (0.776) Data 0.001 (0.003) Loss 1.8644 (1.7360) Prec@1 49.375 (53.873) Prec@5 81.250 (83.018) Epoch: [64][2450/11272] Time 0.827 (0.776) Data 0.001 (0.003) Loss 1.6415 (1.7360) Prec@1 56.875 (53.879) Prec@5 85.625 (83.020) Epoch: [64][2460/11272] Time 0.812 (0.776) Data 0.001 (0.003) Loss 1.7842 (1.7360) Prec@1 55.625 (53.877) Prec@5 81.875 (83.023) Epoch: [64][2470/11272] Time 0.720 (0.776) Data 0.002 (0.003) Loss 1.7211 (1.7359) Prec@1 51.875 (53.881) Prec@5 89.375 (83.028) Epoch: [64][2480/11272] Time 0.725 (0.776) Data 0.001 (0.003) Loss 2.0983 (1.7361) Prec@1 47.500 (53.874) Prec@5 79.375 (83.029) Epoch: [64][2490/11272] Time 0.820 (0.776) Data 0.001 (0.003) Loss 1.9412 (1.7360) Prec@1 48.750 (53.875) Prec@5 81.250 (83.026) Epoch: [64][2500/11272] Time 0.723 (0.776) Data 0.003 (0.003) Loss 1.7914 (1.7359) Prec@1 50.625 (53.877) Prec@5 81.875 (83.028) Epoch: [64][2510/11272] Time 0.720 (0.776) Data 0.001 (0.003) Loss 2.0274 (1.7363) Prec@1 46.875 (53.870) Prec@5 78.750 (83.018) Epoch: [64][2520/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.7787 (1.7364) Prec@1 54.375 (53.873) Prec@5 84.375 (83.019) Epoch: [64][2530/11272] Time 0.794 (0.776) Data 0.001 (0.003) Loss 1.5655 (1.7364) Prec@1 56.875 (53.874) Prec@5 88.750 (83.018) Epoch: [64][2540/11272] Time 0.732 (0.776) Data 0.001 (0.003) Loss 1.7905 (1.7367) Prec@1 53.125 (53.867) Prec@5 81.250 (83.012) Epoch: [64][2550/11272] Time 0.728 (0.776) Data 0.002 (0.003) Loss 1.6389 (1.7367) Prec@1 57.500 (53.866) Prec@5 84.375 (83.015) Epoch: [64][2560/11272] Time 0.843 (0.776) Data 0.001 (0.003) Loss 1.6277 (1.7364) Prec@1 60.000 (53.877) Prec@5 86.875 (83.021) Epoch: [64][2570/11272] Time 0.826 (0.776) Data 0.001 (0.003) Loss 1.9392 (1.7365) Prec@1 46.875 (53.873) Prec@5 76.875 (83.018) Epoch: [64][2580/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.5964 (1.7367) Prec@1 61.250 (53.871) Prec@5 86.875 (83.017) Epoch: [64][2590/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.7648 (1.7367) Prec@1 53.125 (53.867) Prec@5 83.125 (83.017) Epoch: [64][2600/11272] Time 0.828 (0.776) Data 0.001 (0.003) Loss 1.7746 (1.7364) Prec@1 53.750 (53.877) Prec@5 80.000 (83.018) Epoch: [64][2610/11272] Time 0.814 (0.776) Data 0.001 (0.003) Loss 1.6938 (1.7363) Prec@1 53.750 (53.880) Prec@5 84.375 (83.018) Epoch: [64][2620/11272] Time 0.705 (0.776) Data 0.001 (0.003) Loss 1.5960 (1.7359) Prec@1 57.500 (53.887) Prec@5 86.875 (83.025) Epoch: [64][2630/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.9652 (1.7362) Prec@1 52.500 (53.881) Prec@5 79.375 (83.020) Epoch: [64][2640/11272] Time 0.838 (0.776) Data 0.001 (0.003) Loss 1.6700 (1.7360) Prec@1 56.875 (53.883) Prec@5 88.125 (83.023) Epoch: [64][2650/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.6553 (1.7361) Prec@1 56.250 (53.882) Prec@5 87.500 (83.026) Epoch: [64][2660/11272] Time 0.769 (0.776) Data 0.001 (0.003) Loss 1.7800 (1.7360) Prec@1 51.250 (53.883) Prec@5 81.875 (83.028) Epoch: [64][2670/11272] Time 0.825 (0.776) Data 0.001 (0.003) Loss 1.9453 (1.7359) Prec@1 48.125 (53.888) Prec@5 77.500 (83.026) Epoch: [64][2680/11272] Time 0.789 (0.776) Data 0.001 (0.003) Loss 1.6958 (1.7358) Prec@1 56.250 (53.887) Prec@5 83.125 (83.030) Epoch: [64][2690/11272] Time 0.747 (0.776) Data 0.001 (0.003) Loss 1.7814 (1.7358) Prec@1 53.750 (53.887) Prec@5 83.125 (83.031) Epoch: [64][2700/11272] Time 0.732 (0.776) Data 0.001 (0.003) Loss 1.4367 (1.7358) Prec@1 56.250 (53.889) Prec@5 90.625 (83.030) Epoch: [64][2710/11272] Time 0.808 (0.776) Data 0.001 (0.003) Loss 1.6264 (1.7358) Prec@1 57.500 (53.891) Prec@5 82.500 (83.030) Epoch: [64][2720/11272] Time 0.833 (0.776) Data 0.001 (0.003) Loss 1.5765 (1.7355) Prec@1 58.750 (53.900) Prec@5 86.250 (83.030) Epoch: [64][2730/11272] Time 0.738 (0.776) Data 0.001 (0.003) Loss 1.7319 (1.7356) Prec@1 55.625 (53.897) Prec@5 84.375 (83.031) Epoch: [64][2740/11272] Time 0.707 (0.776) Data 0.002 (0.003) Loss 1.8711 (1.7355) Prec@1 49.375 (53.900) Prec@5 81.875 (83.033) Epoch: [64][2750/11272] Time 0.839 (0.776) Data 0.001 (0.003) Loss 1.6425 (1.7356) Prec@1 56.250 (53.900) Prec@5 81.875 (83.030) Epoch: [64][2760/11272] Time 0.845 (0.776) Data 0.003 (0.003) Loss 1.6874 (1.7356) Prec@1 55.625 (53.892) Prec@5 84.375 (83.031) Epoch: [64][2770/11272] Time 0.712 (0.776) Data 0.001 (0.003) Loss 1.7930 (1.7357) Prec@1 48.750 (53.888) Prec@5 81.875 (83.031) Epoch: [64][2780/11272] Time 0.865 (0.776) Data 0.001 (0.003) Loss 1.6722 (1.7356) Prec@1 56.875 (53.888) Prec@5 84.375 (83.028) Epoch: [64][2790/11272] Time 0.833 (0.776) Data 0.001 (0.003) Loss 1.7817 (1.7355) Prec@1 51.875 (53.893) Prec@5 83.125 (83.032) Epoch: [64][2800/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.7998 (1.7355) Prec@1 53.750 (53.892) Prec@5 79.375 (83.028) Epoch: [64][2810/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.6749 (1.7359) Prec@1 55.625 (53.887) Prec@5 85.625 (83.025) Epoch: [64][2820/11272] Time 0.840 (0.776) Data 0.001 (0.003) Loss 1.6634 (1.7361) Prec@1 54.375 (53.882) Prec@5 86.875 (83.021) Epoch: [64][2830/11272] Time 0.841 (0.776) Data 0.002 (0.003) Loss 1.6252 (1.7362) Prec@1 56.875 (53.878) Prec@5 85.000 (83.021) Epoch: [64][2840/11272] Time 0.742 (0.776) Data 0.001 (0.003) Loss 1.9275 (1.7363) Prec@1 53.125 (53.877) Prec@5 79.375 (83.023) Epoch: [64][2850/11272] Time 0.720 (0.776) Data 0.001 (0.003) Loss 1.6797 (1.7361) Prec@1 51.875 (53.878) Prec@5 86.875 (83.026) Epoch: [64][2860/11272] Time 0.861 (0.776) Data 0.001 (0.003) Loss 1.8049 (1.7363) Prec@1 50.000 (53.878) Prec@5 80.625 (83.022) Epoch: [64][2870/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.5988 (1.7363) Prec@1 58.125 (53.880) Prec@5 88.750 (83.025) Epoch: [64][2880/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.8362 (1.7365) Prec@1 49.375 (53.872) Prec@5 82.500 (83.020) Epoch: [64][2890/11272] Time 0.708 (0.776) Data 0.003 (0.003) Loss 1.7234 (1.7367) Prec@1 53.750 (53.866) Prec@5 82.500 (83.015) Epoch: [64][2900/11272] Time 0.827 (0.776) Data 0.001 (0.003) Loss 1.8578 (1.7367) Prec@1 55.000 (53.868) Prec@5 75.625 (83.014) Epoch: [64][2910/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.7445 (1.7370) Prec@1 56.250 (53.860) Prec@5 80.000 (83.011) Epoch: [64][2920/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.5028 (1.7368) Prec@1 60.000 (53.866) Prec@5 86.875 (83.012) Epoch: [64][2930/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 1.2839 (1.7367) Prec@1 61.875 (53.867) Prec@5 91.875 (83.015) Epoch: [64][2940/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.6970 (1.7366) Prec@1 51.250 (53.864) Prec@5 81.875 (83.017) Epoch: [64][2950/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6519 (1.7365) Prec@1 50.625 (53.863) Prec@5 84.375 (83.017) Epoch: [64][2960/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6759 (1.7365) Prec@1 48.750 (53.863) Prec@5 88.125 (83.014) Epoch: [64][2970/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.6586 (1.7365) Prec@1 55.000 (53.864) Prec@5 84.375 (83.015) Epoch: [64][2980/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8498 (1.7363) Prec@1 53.125 (53.872) Prec@5 81.250 (83.019) Epoch: [64][2990/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6641 (1.7363) Prec@1 55.000 (53.867) Prec@5 84.375 (83.019) Epoch: [64][3000/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6306 (1.7363) Prec@1 56.875 (53.863) Prec@5 86.250 (83.020) Epoch: [64][3010/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 2.0762 (1.7364) Prec@1 50.000 (53.864) Prec@5 79.375 (83.017) Epoch: [64][3020/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.5489 (1.7364) Prec@1 55.000 (53.865) Prec@5 88.750 (83.021) Epoch: [64][3030/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6850 (1.7365) Prec@1 54.375 (53.863) Prec@5 83.125 (83.014) Epoch: [64][3040/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.4598 (1.7364) Prec@1 62.500 (53.865) Prec@5 87.500 (83.015) Epoch: [64][3050/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 2.0474 (1.7365) Prec@1 48.750 (53.860) Prec@5 80.000 (83.016) Epoch: [64][3060/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.6364 (1.7365) Prec@1 51.875 (53.859) Prec@5 89.375 (83.022) Epoch: [64][3070/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.5923 (1.7363) Prec@1 59.375 (53.863) Prec@5 85.000 (83.024) Epoch: [64][3080/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.9432 (1.7363) Prec@1 52.500 (53.864) Prec@5 80.625 (83.025) Epoch: [64][3090/11272] Time 0.872 (0.776) Data 0.002 (0.002) Loss 1.6278 (1.7363) Prec@1 54.375 (53.865) Prec@5 90.000 (83.029) Epoch: [64][3100/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.6790 (1.7364) Prec@1 54.375 (53.861) Prec@5 84.375 (83.027) Epoch: [64][3110/11272] Time 0.757 (0.776) Data 0.001 (0.002) Loss 1.9275 (1.7365) Prec@1 51.875 (53.858) Prec@5 80.000 (83.025) Epoch: [64][3120/11272] Time 0.879 (0.776) Data 0.002 (0.002) Loss 1.6585 (1.7365) Prec@1 53.750 (53.853) Prec@5 85.000 (83.027) Epoch: [64][3130/11272] Time 0.832 (0.776) Data 0.003 (0.002) Loss 1.8639 (1.7366) Prec@1 46.250 (53.849) Prec@5 82.500 (83.029) Epoch: [64][3140/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 2.0163 (1.7367) Prec@1 45.625 (53.840) Prec@5 81.250 (83.032) Epoch: [64][3150/11272] Time 0.750 (0.776) Data 0.002 (0.002) Loss 1.8126 (1.7365) Prec@1 54.375 (53.843) Prec@5 83.750 (83.037) Epoch: [64][3160/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.5698 (1.7365) Prec@1 58.750 (53.846) Prec@5 86.875 (83.034) Epoch: [64][3170/11272] Time 0.714 (0.776) Data 0.003 (0.002) Loss 1.7537 (1.7365) Prec@1 50.000 (53.848) Prec@5 79.375 (83.034) Epoch: [64][3180/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7602 (1.7366) Prec@1 55.625 (53.847) Prec@5 83.125 (83.034) Epoch: [64][3190/11272] Time 0.866 (0.776) Data 0.001 (0.002) Loss 1.9326 (1.7367) Prec@1 46.875 (53.846) Prec@5 79.375 (83.034) Epoch: [64][3200/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.7552 (1.7368) Prec@1 51.875 (53.841) Prec@5 84.375 (83.028) Epoch: [64][3210/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7705 (1.7368) Prec@1 51.250 (53.842) Prec@5 83.750 (83.030) Epoch: [64][3220/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8314 (1.7369) Prec@1 48.750 (53.841) Prec@5 83.125 (83.030) Epoch: [64][3230/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.7003 (1.7366) Prec@1 58.125 (53.852) Prec@5 83.750 (83.034) Epoch: [64][3240/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7117 (1.7363) Prec@1 50.000 (53.860) Prec@5 87.500 (83.039) Epoch: [64][3250/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7326 (1.7365) Prec@1 55.000 (53.857) Prec@5 83.125 (83.035) Epoch: [64][3260/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.5859 (1.7365) Prec@1 56.875 (53.863) Prec@5 84.375 (83.035) Epoch: [64][3270/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6352 (1.7364) Prec@1 52.500 (53.865) Prec@5 85.625 (83.035) Epoch: [64][3280/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.5992 (1.7364) Prec@1 59.375 (53.868) Prec@5 87.500 (83.034) Epoch: [64][3290/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8478 (1.7362) Prec@1 53.125 (53.873) Prec@5 83.125 (83.039) Epoch: [64][3300/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.6623 (1.7362) Prec@1 51.875 (53.871) Prec@5 84.375 (83.039) Epoch: [64][3310/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.8216 (1.7363) Prec@1 48.750 (53.866) Prec@5 83.125 (83.039) Epoch: [64][3320/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.9049 (1.7362) Prec@1 50.625 (53.868) Prec@5 81.250 (83.039) Epoch: [64][3330/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.8100 (1.7362) Prec@1 51.250 (53.864) Prec@5 81.875 (83.040) Epoch: [64][3340/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.6763 (1.7363) Prec@1 53.125 (53.863) Prec@5 83.125 (83.037) Epoch: [64][3350/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.6245 (1.7364) Prec@1 53.750 (53.862) Prec@5 89.375 (83.036) Epoch: [64][3360/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.6474 (1.7366) Prec@1 53.750 (53.852) Prec@5 84.375 (83.035) Epoch: [64][3370/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.8674 (1.7368) Prec@1 48.750 (53.848) Prec@5 80.625 (83.035) Epoch: [64][3380/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.8465 (1.7368) Prec@1 49.375 (53.845) Prec@5 80.625 (83.033) Epoch: [64][3390/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.7059 (1.7369) Prec@1 48.125 (53.838) Prec@5 83.125 (83.031) Epoch: [64][3400/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6240 (1.7371) Prec@1 53.125 (53.832) Prec@5 86.250 (83.026) Epoch: [64][3410/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.6573 (1.7369) Prec@1 55.625 (53.833) Prec@5 83.125 (83.031) Epoch: [64][3420/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.4642 (1.7367) Prec@1 63.750 (53.836) Prec@5 87.500 (83.035) Epoch: [64][3430/11272] Time 0.694 (0.776) Data 0.002 (0.002) Loss 1.8549 (1.7366) Prec@1 55.625 (53.837) Prec@5 83.125 (83.036) Epoch: [64][3440/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5283 (1.7366) Prec@1 60.000 (53.840) Prec@5 85.625 (83.037) Epoch: [64][3450/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6855 (1.7363) Prec@1 56.250 (53.841) Prec@5 85.625 (83.043) Epoch: [64][3460/11272] Time 0.859 (0.776) Data 0.002 (0.002) Loss 1.8455 (1.7363) Prec@1 53.125 (53.838) Prec@5 83.125 (83.044) Epoch: [64][3470/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5668 (1.7365) Prec@1 60.000 (53.838) Prec@5 84.375 (83.041) Epoch: [64][3480/11272] Time 0.692 (0.776) Data 0.001 (0.002) Loss 1.9637 (1.7369) Prec@1 49.375 (53.833) Prec@5 76.875 (83.033) Epoch: [64][3490/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5694 (1.7369) Prec@1 56.250 (53.836) Prec@5 88.125 (83.035) Epoch: [64][3500/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6570 (1.7369) Prec@1 55.625 (53.836) Prec@5 86.250 (83.035) Epoch: [64][3510/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.3815 (1.7369) Prec@1 61.875 (53.838) Prec@5 89.375 (83.035) Epoch: [64][3520/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7043 (1.7369) Prec@1 56.875 (53.839) Prec@5 81.875 (83.035) Epoch: [64][3530/11272] Time 0.897 (0.776) Data 0.001 (0.002) Loss 1.7267 (1.7370) Prec@1 57.500 (53.835) Prec@5 83.750 (83.030) Epoch: [64][3540/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.8991 (1.7371) Prec@1 48.750 (53.834) Prec@5 80.000 (83.031) Epoch: [64][3550/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5559 (1.7370) Prec@1 55.625 (53.834) Prec@5 85.625 (83.032) Epoch: [64][3560/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.9282 (1.7371) Prec@1 48.750 (53.835) Prec@5 79.375 (83.029) Epoch: [64][3570/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6865 (1.7372) Prec@1 50.000 (53.834) Prec@5 85.000 (83.028) Epoch: [64][3580/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5981 (1.7371) Prec@1 56.250 (53.836) Prec@5 87.500 (83.031) Epoch: [64][3590/11272] Time 0.681 (0.776) Data 0.001 (0.002) Loss 1.8250 (1.7370) Prec@1 53.750 (53.838) Prec@5 78.125 (83.031) Epoch: [64][3600/11272] Time 0.891 (0.776) Data 0.001 (0.002) Loss 1.7125 (1.7370) Prec@1 55.000 (53.837) Prec@5 85.625 (83.034) Epoch: [64][3610/11272] Time 0.866 (0.776) Data 0.001 (0.002) Loss 2.0204 (1.7372) Prec@1 46.250 (53.833) Prec@5 78.125 (83.030) Epoch: [64][3620/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.7824 (1.7372) Prec@1 50.625 (53.831) Prec@5 81.875 (83.030) Epoch: [64][3630/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.7556 (1.7370) Prec@1 50.000 (53.833) Prec@5 85.000 (83.033) Epoch: [64][3640/11272] Time 0.864 (0.776) Data 0.001 (0.002) Loss 1.6329 (1.7369) Prec@1 59.375 (53.834) Prec@5 85.000 (83.034) Epoch: [64][3650/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.7292 (1.7370) Prec@1 51.250 (53.835) Prec@5 83.125 (83.032) Epoch: [64][3660/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8954 (1.7369) Prec@1 41.875 (53.838) Prec@5 85.000 (83.034) Epoch: [64][3670/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.7812 (1.7369) Prec@1 53.750 (53.837) Prec@5 80.000 (83.035) Epoch: [64][3680/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6796 (1.7370) Prec@1 53.750 (53.835) Prec@5 83.750 (83.030) Epoch: [64][3690/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.6181 (1.7370) Prec@1 55.625 (53.830) Prec@5 85.625 (83.033) Epoch: [64][3700/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.4012 (1.7370) Prec@1 64.375 (53.833) Prec@5 86.875 (83.032) Epoch: [64][3710/11272] Time 0.882 (0.776) Data 0.002 (0.002) Loss 1.6646 (1.7368) Prec@1 49.375 (53.835) Prec@5 83.125 (83.032) Epoch: [64][3720/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.7650 (1.7369) Prec@1 51.250 (53.834) Prec@5 80.625 (83.031) Epoch: [64][3730/11272] Time 0.746 (0.776) Data 0.001 (0.002) Loss 1.7878 (1.7369) Prec@1 51.875 (53.832) Prec@5 81.875 (83.034) Epoch: [64][3740/11272] Time 0.681 (0.776) Data 0.001 (0.002) Loss 1.5093 (1.7370) Prec@1 59.375 (53.829) Prec@5 83.750 (83.030) Epoch: [64][3750/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.9862 (1.7370) Prec@1 48.750 (53.832) Prec@5 79.375 (83.028) Epoch: [64][3760/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.8169 (1.7372) Prec@1 59.375 (53.827) Prec@5 77.500 (83.022) Epoch: [64][3770/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.6644 (1.7370) Prec@1 55.625 (53.829) Prec@5 85.000 (83.025) Epoch: [64][3780/11272] Time 0.751 (0.776) Data 0.002 (0.002) Loss 1.7409 (1.7371) Prec@1 56.250 (53.827) Prec@5 79.375 (83.022) Epoch: [64][3790/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.7613 (1.7371) Prec@1 51.250 (53.824) Prec@5 81.875 (83.021) Epoch: [64][3800/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.8761 (1.7374) Prec@1 48.750 (53.818) Prec@5 84.375 (83.018) Epoch: [64][3810/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9406 (1.7373) Prec@1 49.375 (53.819) Prec@5 78.750 (83.021) Epoch: [64][3820/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.8818 (1.7374) Prec@1 54.375 (53.817) Prec@5 78.750 (83.019) Epoch: [64][3830/11272] Time 0.875 (0.776) Data 0.001 (0.002) Loss 1.9846 (1.7374) Prec@1 50.000 (53.819) Prec@5 81.250 (83.021) Epoch: [64][3840/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.6187 (1.7374) Prec@1 55.000 (53.815) Prec@5 82.500 (83.017) Epoch: [64][3850/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.9296 (1.7376) Prec@1 47.500 (53.812) Prec@5 80.625 (83.013) Epoch: [64][3860/11272] Time 0.871 (0.776) Data 0.002 (0.002) Loss 1.9527 (1.7375) Prec@1 50.000 (53.818) Prec@5 79.375 (83.014) Epoch: [64][3870/11272] Time 0.789 (0.776) Data 0.001 (0.002) Loss 1.7350 (1.7374) Prec@1 57.500 (53.821) Prec@5 83.125 (83.016) Epoch: [64][3880/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.9968 (1.7375) Prec@1 46.250 (53.823) Prec@5 80.000 (83.015) Epoch: [64][3890/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7263 (1.7373) Prec@1 53.125 (53.828) Prec@5 84.375 (83.017) Epoch: [64][3900/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.7707 (1.7374) Prec@1 50.000 (53.820) Prec@5 81.875 (83.015) Epoch: [64][3910/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.5235 (1.7374) Prec@1 57.500 (53.822) Prec@5 89.375 (83.015) Epoch: [64][3920/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6525 (1.7374) Prec@1 57.500 (53.825) Prec@5 84.375 (83.014) Epoch: [64][3930/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.8007 (1.7374) Prec@1 50.000 (53.822) Prec@5 83.125 (83.011) Epoch: [64][3940/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5459 (1.7374) Prec@1 56.875 (53.821) Prec@5 86.875 (83.012) Epoch: [64][3950/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.5928 (1.7376) Prec@1 55.000 (53.812) Prec@5 85.000 (83.012) Epoch: [64][3960/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.9379 (1.7378) Prec@1 52.500 (53.810) Prec@5 80.000 (83.008) Epoch: [64][3970/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.7017 (1.7378) Prec@1 55.000 (53.811) Prec@5 83.125 (83.003) Epoch: [64][3980/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.9010 (1.7378) Prec@1 52.500 (53.809) Prec@5 83.750 (83.005) Epoch: [64][3990/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 2.0202 (1.7380) Prec@1 48.125 (53.807) Prec@5 78.750 (83.001) Epoch: [64][4000/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7789 (1.7381) Prec@1 51.875 (53.806) Prec@5 81.875 (83.000) Epoch: [64][4010/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.7317 (1.7382) Prec@1 55.000 (53.807) Prec@5 83.750 (82.997) Epoch: [64][4020/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.5798 (1.7381) Prec@1 61.875 (53.811) Prec@5 83.125 (82.998) Epoch: [64][4030/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7545 (1.7380) Prec@1 56.250 (53.813) Prec@5 78.750 (82.998) Epoch: [64][4040/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.8345 (1.7380) Prec@1 51.875 (53.814) Prec@5 81.875 (82.999) Epoch: [64][4050/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.7275 (1.7380) Prec@1 53.750 (53.815) Prec@5 83.125 (83.001) Epoch: [64][4060/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.9323 (1.7383) Prec@1 46.250 (53.812) Prec@5 77.500 (82.997) Epoch: [64][4070/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.5960 (1.7381) Prec@1 57.500 (53.814) Prec@5 85.625 (83.001) Epoch: [64][4080/11272] Time 0.779 (0.776) Data 0.001 (0.002) Loss 1.8685 (1.7382) Prec@1 50.625 (53.814) Prec@5 84.375 (83.001) Epoch: [64][4090/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.8471 (1.7381) Prec@1 52.500 (53.818) Prec@5 81.250 (83.001) Epoch: [64][4100/11272] Time 0.713 (0.776) Data 0.003 (0.002) Loss 1.6948 (1.7380) Prec@1 54.375 (53.819) Prec@5 80.625 (83.000) Epoch: [64][4110/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 2.0527 (1.7383) Prec@1 50.000 (53.813) Prec@5 73.750 (82.998) Epoch: [64][4120/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.7367 (1.7385) Prec@1 53.750 (53.809) Prec@5 86.875 (82.996) Epoch: [64][4130/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.9427 (1.7386) Prec@1 48.750 (53.808) Prec@5 81.875 (82.995) Epoch: [64][4140/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.9507 (1.7387) Prec@1 46.875 (53.807) Prec@5 80.000 (82.992) Epoch: [64][4150/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.7214 (1.7387) Prec@1 51.875 (53.806) Prec@5 81.875 (82.992) Epoch: [64][4160/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.7847 (1.7388) Prec@1 53.750 (53.799) Prec@5 84.375 (82.988) Epoch: [64][4170/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5866 (1.7387) Prec@1 58.125 (53.802) Prec@5 85.000 (82.990) Epoch: [64][4180/11272] Time 0.695 (0.776) Data 0.001 (0.002) Loss 1.6267 (1.7387) Prec@1 60.000 (53.803) Prec@5 84.375 (82.989) Epoch: [64][4190/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.9021 (1.7389) Prec@1 50.000 (53.800) Prec@5 78.125 (82.986) Epoch: [64][4200/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6685 (1.7389) Prec@1 60.000 (53.800) Prec@5 82.500 (82.984) Epoch: [64][4210/11272] Time 0.776 (0.776) Data 0.001 (0.002) Loss 1.8462 (1.7390) Prec@1 54.375 (53.796) Prec@5 78.750 (82.982) Epoch: [64][4220/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.6494 (1.7389) Prec@1 52.500 (53.795) Prec@5 86.250 (82.984) Epoch: [64][4230/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.7155 (1.7390) Prec@1 52.500 (53.792) Prec@5 83.750 (82.982) Epoch: [64][4240/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.6351 (1.7390) Prec@1 52.500 (53.791) Prec@5 86.875 (82.982) Epoch: [64][4250/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.7621 (1.7389) Prec@1 57.500 (53.796) Prec@5 82.500 (82.984) Epoch: [64][4260/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8548 (1.7388) Prec@1 51.250 (53.799) Prec@5 81.250 (82.984) Epoch: [64][4270/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.6905 (1.7388) Prec@1 56.250 (53.800) Prec@5 81.875 (82.979) Epoch: [64][4280/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.5444 (1.7389) Prec@1 59.375 (53.799) Prec@5 83.750 (82.978) Epoch: [64][4290/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.9903 (1.7388) Prec@1 45.000 (53.801) Prec@5 74.375 (82.980) Epoch: [64][4300/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8084 (1.7388) Prec@1 50.625 (53.801) Prec@5 84.375 (82.981) Epoch: [64][4310/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.5352 (1.7389) Prec@1 58.750 (53.800) Prec@5 86.250 (82.980) Epoch: [64][4320/11272] Time 0.780 (0.776) Data 0.001 (0.002) Loss 1.4936 (1.7388) Prec@1 61.250 (53.802) Prec@5 85.625 (82.980) Epoch: [64][4330/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.5420 (1.7389) Prec@1 58.750 (53.802) Prec@5 88.750 (82.981) Epoch: [64][4340/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.6001 (1.7388) Prec@1 52.500 (53.803) Prec@5 86.250 (82.982) Epoch: [64][4350/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.9616 (1.7389) Prec@1 51.875 (53.801) Prec@5 77.500 (82.983) Epoch: [64][4360/11272] Time 0.766 (0.776) Data 0.004 (0.002) Loss 1.8566 (1.7389) Prec@1 47.500 (53.802) Prec@5 82.500 (82.985) Epoch: [64][4370/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.9929 (1.7389) Prec@1 50.000 (53.801) Prec@5 81.250 (82.986) Epoch: [64][4380/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7445 (1.7390) Prec@1 60.625 (53.800) Prec@5 85.000 (82.984) Epoch: [64][4390/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.6061 (1.7390) Prec@1 60.000 (53.804) Prec@5 83.125 (82.986) Epoch: [64][4400/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.6884 (1.7389) Prec@1 55.625 (53.808) Prec@5 82.500 (82.988) Epoch: [64][4410/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 2.0310 (1.7390) Prec@1 45.000 (53.803) Prec@5 76.875 (82.987) Epoch: [64][4420/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.6687 (1.7389) Prec@1 51.875 (53.800) Prec@5 85.625 (82.990) Epoch: [64][4430/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.6154 (1.7388) Prec@1 51.875 (53.803) Prec@5 85.625 (82.993) Epoch: [64][4440/11272] Time 0.757 (0.776) Data 0.001 (0.002) Loss 1.4848 (1.7388) Prec@1 59.375 (53.806) Prec@5 88.125 (82.993) Epoch: [64][4450/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.6360 (1.7388) Prec@1 55.000 (53.804) Prec@5 83.125 (82.993) Epoch: [64][4460/11272] Time 0.811 (0.776) Data 0.002 (0.002) Loss 1.6553 (1.7389) Prec@1 53.125 (53.802) Prec@5 83.125 (82.989) Epoch: [64][4470/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7028 (1.7390) Prec@1 53.750 (53.799) Prec@5 81.875 (82.988) Epoch: [64][4480/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.7463 (1.7390) Prec@1 49.375 (53.797) Prec@5 84.375 (82.987) Epoch: [64][4490/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 2.0422 (1.7391) Prec@1 51.250 (53.794) Prec@5 78.750 (82.985) Epoch: [64][4500/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.8059 (1.7392) Prec@1 51.875 (53.795) Prec@5 81.875 (82.984) Epoch: [64][4510/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.8505 (1.7392) Prec@1 55.000 (53.799) Prec@5 78.750 (82.982) Epoch: [64][4520/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.7765 (1.7392) Prec@1 51.250 (53.799) Prec@5 79.375 (82.980) Epoch: [64][4530/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7246 (1.7393) Prec@1 51.875 (53.797) Prec@5 85.000 (82.977) Epoch: [64][4540/11272] Time 0.867 (0.776) Data 0.001 (0.002) Loss 1.6591 (1.7393) Prec@1 57.500 (53.800) Prec@5 81.250 (82.976) Epoch: [64][4550/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.6818 (1.7394) Prec@1 51.875 (53.799) Prec@5 85.625 (82.974) Epoch: [64][4560/11272] Time 0.749 (0.776) Data 0.002 (0.002) Loss 1.4685 (1.7393) Prec@1 60.625 (53.800) Prec@5 85.625 (82.976) Epoch: [64][4570/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.9377 (1.7393) Prec@1 49.375 (53.800) Prec@5 80.000 (82.976) Epoch: [64][4580/11272] Time 0.788 (0.776) Data 0.001 (0.002) Loss 1.6084 (1.7393) Prec@1 57.500 (53.797) Prec@5 83.750 (82.976) Epoch: [64][4590/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 2.0176 (1.7396) Prec@1 48.750 (53.788) Prec@5 77.500 (82.970) Epoch: [64][4600/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6871 (1.7396) Prec@1 51.250 (53.787) Prec@5 85.625 (82.970) Epoch: [64][4610/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.8401 (1.7398) Prec@1 54.375 (53.785) Prec@5 78.750 (82.967) Epoch: [64][4620/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.8376 (1.7398) Prec@1 53.125 (53.783) Prec@5 83.125 (82.965) Epoch: [64][4630/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.4205 (1.7397) Prec@1 59.375 (53.785) Prec@5 91.250 (82.967) Epoch: [64][4640/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.8334 (1.7399) Prec@1 50.625 (53.783) Prec@5 80.625 (82.964) Epoch: [64][4650/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.6991 (1.7398) Prec@1 58.750 (53.785) Prec@5 83.125 (82.963) Epoch: [64][4660/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.6666 (1.7398) Prec@1 56.875 (53.785) Prec@5 85.000 (82.964) Epoch: [64][4670/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.7968 (1.7395) Prec@1 56.250 (53.793) Prec@5 80.625 (82.968) Epoch: [64][4680/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.8663 (1.7396) Prec@1 57.500 (53.793) Prec@5 80.625 (82.967) Epoch: [64][4690/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.5116 (1.7397) Prec@1 58.750 (53.790) Prec@5 88.125 (82.964) Epoch: [64][4700/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 2.1354 (1.7395) Prec@1 49.375 (53.795) Prec@5 73.750 (82.966) Epoch: [64][4710/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6450 (1.7396) Prec@1 54.375 (53.795) Prec@5 83.750 (82.965) Epoch: [64][4720/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 2.0873 (1.7396) Prec@1 46.875 (53.797) Prec@5 76.875 (82.965) Epoch: [64][4730/11272] Time 0.855 (0.776) Data 0.001 (0.002) Loss 2.0138 (1.7396) Prec@1 48.125 (53.791) Prec@5 81.875 (82.965) Epoch: [64][4740/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.7579 (1.7396) Prec@1 52.500 (53.792) Prec@5 81.875 (82.963) Epoch: [64][4750/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.8973 (1.7396) Prec@1 51.250 (53.790) Prec@5 80.625 (82.964) Epoch: [64][4760/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.9665 (1.7395) Prec@1 47.500 (53.790) Prec@5 79.375 (82.966) Epoch: [64][4770/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 2.0114 (1.7395) Prec@1 43.750 (53.794) Prec@5 73.750 (82.968) Epoch: [64][4780/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.6503 (1.7395) Prec@1 58.125 (53.795) Prec@5 81.250 (82.966) Epoch: [64][4790/11272] Time 0.862 (0.776) Data 0.001 (0.002) Loss 1.6773 (1.7394) Prec@1 56.250 (53.796) Prec@5 85.000 (82.969) Epoch: [64][4800/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.8230 (1.7395) Prec@1 53.750 (53.796) Prec@5 81.875 (82.966) Epoch: [64][4810/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7299 (1.7396) Prec@1 51.875 (53.796) Prec@5 81.250 (82.962) Epoch: [64][4820/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7757 (1.7396) Prec@1 53.750 (53.796) Prec@5 81.250 (82.959) Epoch: [64][4830/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.8118 (1.7398) Prec@1 51.875 (53.795) Prec@5 83.125 (82.957) Epoch: [64][4840/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.7994 (1.7398) Prec@1 50.625 (53.792) Prec@5 80.000 (82.957) Epoch: [64][4850/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.7433 (1.7400) Prec@1 50.625 (53.785) Prec@5 83.750 (82.956) Epoch: [64][4860/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9678 (1.7399) Prec@1 48.125 (53.785) Prec@5 77.500 (82.958) Epoch: [64][4870/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.6153 (1.7398) Prec@1 56.875 (53.788) Prec@5 85.000 (82.960) Epoch: [64][4880/11272] Time 0.778 (0.776) Data 0.001 (0.002) Loss 1.8635 (1.7398) Prec@1 51.250 (53.788) Prec@5 82.500 (82.962) Epoch: [64][4890/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8745 (1.7398) Prec@1 46.250 (53.786) Prec@5 80.625 (82.962) Epoch: [64][4900/11272] Time 0.896 (0.776) Data 0.001 (0.002) Loss 1.5973 (1.7398) Prec@1 58.750 (53.787) Prec@5 83.125 (82.961) Epoch: [64][4910/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8093 (1.7397) Prec@1 55.000 (53.791) Prec@5 79.375 (82.964) Epoch: [64][4920/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.8510 (1.7397) Prec@1 53.125 (53.787) Prec@5 81.875 (82.964) Epoch: [64][4930/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8636 (1.7397) Prec@1 46.875 (53.787) Prec@5 80.625 (82.966) Epoch: [64][4940/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7799 (1.7396) Prec@1 52.500 (53.788) Prec@5 78.750 (82.967) Epoch: [64][4950/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5354 (1.7396) Prec@1 60.000 (53.789) Prec@5 87.500 (82.966) Epoch: [64][4960/11272] Time 0.752 (0.776) Data 0.001 (0.002) Loss 1.6727 (1.7395) Prec@1 53.125 (53.791) Prec@5 85.000 (82.969) Epoch: [64][4970/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7406 (1.7395) Prec@1 48.750 (53.793) Prec@5 83.750 (82.969) Epoch: [64][4980/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.9021 (1.7396) Prec@1 47.500 (53.791) Prec@5 78.750 (82.965) Epoch: [64][4990/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.5548 (1.7395) Prec@1 58.125 (53.796) Prec@5 85.000 (82.966) Epoch: [64][5000/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.9695 (1.7396) Prec@1 51.875 (53.791) Prec@5 73.125 (82.964) Epoch: [64][5010/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.9079 (1.7396) Prec@1 54.375 (53.794) Prec@5 77.500 (82.966) Epoch: [64][5020/11272] Time 0.782 (0.776) Data 0.001 (0.002) Loss 1.9399 (1.7397) Prec@1 49.375 (53.791) Prec@5 82.500 (82.963) Epoch: [64][5030/11272] Time 0.718 (0.776) Data 0.003 (0.002) Loss 1.8323 (1.7398) Prec@1 46.875 (53.787) Prec@5 82.500 (82.963) Epoch: [64][5040/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.6860 (1.7397) Prec@1 57.500 (53.794) Prec@5 81.250 (82.965) Epoch: [64][5050/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.7971 (1.7399) Prec@1 51.875 (53.791) Prec@5 80.000 (82.961) Epoch: [64][5060/11272] Time 0.851 (0.776) Data 0.001 (0.002) Loss 1.5361 (1.7399) Prec@1 58.750 (53.789) Prec@5 84.375 (82.961) Epoch: [64][5070/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6642 (1.7399) Prec@1 56.250 (53.788) Prec@5 83.125 (82.958) Epoch: [64][5080/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7334 (1.7398) Prec@1 54.375 (53.791) Prec@5 81.875 (82.957) Epoch: [64][5090/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6463 (1.7399) Prec@1 55.000 (53.789) Prec@5 85.625 (82.957) Epoch: [64][5100/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.6479 (1.7399) Prec@1 59.375 (53.789) Prec@5 83.125 (82.958) Epoch: [64][5110/11272] Time 0.744 (0.776) Data 0.001 (0.002) Loss 1.9373 (1.7399) Prec@1 53.125 (53.790) Prec@5 83.750 (82.958) Epoch: [64][5120/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7615 (1.7400) Prec@1 54.375 (53.789) Prec@5 83.750 (82.957) Epoch: [64][5130/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.7608 (1.7402) Prec@1 56.875 (53.785) Prec@5 84.375 (82.954) Epoch: [64][5140/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7696 (1.7402) Prec@1 53.125 (53.784) Prec@5 82.500 (82.953) Epoch: [64][5150/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.6975 (1.7400) Prec@1 52.500 (53.789) Prec@5 83.750 (82.956) Epoch: [64][5160/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.6756 (1.7400) Prec@1 51.875 (53.785) Prec@5 81.250 (82.958) Epoch: [64][5170/11272] Time 0.857 (0.776) Data 0.002 (0.002) Loss 1.5357 (1.7400) Prec@1 62.500 (53.789) Prec@5 88.125 (82.957) Epoch: [64][5180/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.8592 (1.7400) Prec@1 53.750 (53.791) Prec@5 80.625 (82.958) Epoch: [64][5190/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7734 (1.7401) Prec@1 53.125 (53.790) Prec@5 84.375 (82.959) Epoch: [64][5200/11272] Time 0.862 (0.776) Data 0.001 (0.002) Loss 1.5992 (1.7401) Prec@1 56.250 (53.789) Prec@5 84.375 (82.959) Epoch: [64][5210/11272] Time 0.872 (0.776) Data 0.002 (0.002) Loss 1.9462 (1.7400) Prec@1 49.375 (53.791) Prec@5 80.000 (82.959) Epoch: [64][5220/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.7076 (1.7399) Prec@1 53.125 (53.792) Prec@5 81.250 (82.962) Epoch: [64][5230/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6165 (1.7398) Prec@1 58.125 (53.794) Prec@5 83.125 (82.964) Epoch: [64][5240/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.7382 (1.7399) Prec@1 60.000 (53.793) Prec@5 84.375 (82.963) Epoch: [64][5250/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.8868 (1.7400) Prec@1 48.750 (53.789) Prec@5 78.750 (82.961) Epoch: [64][5260/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.9161 (1.7400) Prec@1 48.750 (53.788) Prec@5 78.125 (82.961) Epoch: [64][5270/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.7192 (1.7400) Prec@1 51.250 (53.788) Prec@5 83.750 (82.960) Epoch: [64][5280/11272] Time 0.861 (0.776) Data 0.002 (0.002) Loss 1.6295 (1.7400) Prec@1 55.625 (53.787) Prec@5 84.375 (82.961) Epoch: [64][5290/11272] Time 0.716 (0.776) Data 0.003 (0.002) Loss 1.8933 (1.7400) Prec@1 48.750 (53.784) Prec@5 78.125 (82.961) Epoch: [64][5300/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.8435 (1.7401) Prec@1 55.000 (53.784) Prec@5 79.375 (82.960) Epoch: [64][5310/11272] Time 0.826 (0.776) Data 0.002 (0.002) Loss 1.7869 (1.7403) Prec@1 53.125 (53.780) Prec@5 82.500 (82.959) Epoch: [64][5320/11272] Time 0.859 (0.776) Data 0.002 (0.002) Loss 1.8525 (1.7404) Prec@1 53.750 (53.775) Prec@5 79.375 (82.958) Epoch: [64][5330/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6556 (1.7404) Prec@1 55.000 (53.776) Prec@5 85.000 (82.958) Epoch: [64][5340/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.9425 (1.7404) Prec@1 53.125 (53.774) Prec@5 75.625 (82.956) Epoch: [64][5350/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.7732 (1.7404) Prec@1 53.750 (53.775) Prec@5 81.875 (82.957) Epoch: [64][5360/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.7953 (1.7406) Prec@1 48.125 (53.772) Prec@5 83.125 (82.954) Epoch: [64][5370/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8140 (1.7404) Prec@1 50.000 (53.773) Prec@5 80.000 (82.956) Epoch: [64][5380/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7072 (1.7404) Prec@1 56.875 (53.773) Prec@5 81.875 (82.956) Epoch: [64][5390/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.7332 (1.7404) Prec@1 51.875 (53.771) Prec@5 86.250 (82.959) Epoch: [64][5400/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6657 (1.7404) Prec@1 59.375 (53.773) Prec@5 81.875 (82.960) Epoch: [64][5410/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 2.0302 (1.7403) Prec@1 46.250 (53.774) Prec@5 78.750 (82.960) Epoch: [64][5420/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5751 (1.7404) Prec@1 58.750 (53.774) Prec@5 86.875 (82.959) Epoch: [64][5430/11272] Time 0.841 (0.776) Data 0.001 (0.002) Loss 1.9259 (1.7404) Prec@1 44.375 (53.772) Prec@5 81.250 (82.958) Epoch: [64][5440/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8811 (1.7405) Prec@1 52.500 (53.771) Prec@5 79.375 (82.958) Epoch: [64][5450/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7331 (1.7405) Prec@1 51.875 (53.771) Prec@5 83.125 (82.959) Epoch: [64][5460/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7844 (1.7404) Prec@1 53.125 (53.774) Prec@5 81.875 (82.959) Epoch: [64][5470/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.6637 (1.7404) Prec@1 58.750 (53.775) Prec@5 81.250 (82.959) Epoch: [64][5480/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.8286 (1.7405) Prec@1 50.000 (53.773) Prec@5 81.250 (82.957) Epoch: [64][5490/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6215 (1.7405) Prec@1 55.625 (53.774) Prec@5 84.375 (82.958) Epoch: [64][5500/11272] Time 0.869 (0.776) Data 0.001 (0.002) Loss 1.7289 (1.7405) Prec@1 51.875 (53.773) Prec@5 81.875 (82.958) Epoch: [64][5510/11272] Time 0.799 (0.776) Data 0.002 (0.002) Loss 1.6326 (1.7404) Prec@1 53.750 (53.774) Prec@5 87.500 (82.959) Epoch: [64][5520/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.5523 (1.7404) Prec@1 54.375 (53.775) Prec@5 85.000 (82.961) Epoch: [64][5530/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.7397 (1.7403) Prec@1 52.500 (53.776) Prec@5 81.875 (82.961) Epoch: [64][5540/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6986 (1.7404) Prec@1 52.500 (53.774) Prec@5 85.625 (82.960) Epoch: [64][5550/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.6954 (1.7403) Prec@1 54.375 (53.775) Prec@5 81.875 (82.959) Epoch: [64][5560/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.7319 (1.7403) Prec@1 57.500 (53.779) Prec@5 80.625 (82.960) Epoch: [64][5570/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.4652 (1.7402) Prec@1 60.625 (53.782) Prec@5 89.375 (82.959) Epoch: [64][5580/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8045 (1.7402) Prec@1 57.500 (53.785) Prec@5 80.000 (82.961) Epoch: [64][5590/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7798 (1.7402) Prec@1 55.000 (53.782) Prec@5 83.125 (82.960) Epoch: [64][5600/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.7155 (1.7403) Prec@1 55.000 (53.782) Prec@5 83.125 (82.962) Epoch: [64][5610/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.5950 (1.7402) Prec@1 57.500 (53.785) Prec@5 85.625 (82.965) Epoch: [64][5620/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.4614 (1.7401) Prec@1 60.625 (53.787) Prec@5 88.125 (82.966) Epoch: [64][5630/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.5063 (1.7402) Prec@1 56.250 (53.785) Prec@5 85.000 (82.965) Epoch: [64][5640/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7269 (1.7402) Prec@1 54.375 (53.784) Prec@5 83.750 (82.966) Epoch: [64][5650/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.6616 (1.7401) Prec@1 55.625 (53.786) Prec@5 85.625 (82.967) Epoch: [64][5660/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.7104 (1.7401) Prec@1 55.000 (53.785) Prec@5 83.125 (82.964) Epoch: [64][5670/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 2.0523 (1.7401) Prec@1 41.875 (53.786) Prec@5 80.000 (82.966) Epoch: [64][5680/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6283 (1.7401) Prec@1 58.125 (53.786) Prec@5 81.875 (82.966) Epoch: [64][5690/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.5735 (1.7401) Prec@1 56.875 (53.783) Prec@5 88.750 (82.967) Epoch: [64][5700/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.7125 (1.7400) Prec@1 57.500 (53.784) Prec@5 83.125 (82.967) Epoch: [64][5710/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7367 (1.7400) Prec@1 56.875 (53.783) Prec@5 83.125 (82.968) Epoch: [64][5720/11272] Time 0.887 (0.776) Data 0.001 (0.002) Loss 1.7985 (1.7400) Prec@1 50.625 (53.782) Prec@5 83.750 (82.968) Epoch: [64][5730/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.7889 (1.7399) Prec@1 55.625 (53.783) Prec@5 85.000 (82.968) Epoch: [64][5740/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.6717 (1.7399) Prec@1 56.875 (53.785) Prec@5 86.875 (82.970) Epoch: [64][5750/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6718 (1.7399) Prec@1 63.125 (53.786) Prec@5 85.000 (82.969) Epoch: [64][5760/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.9743 (1.7400) Prec@1 53.125 (53.784) Prec@5 76.875 (82.969) Epoch: [64][5770/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.7895 (1.7399) Prec@1 58.750 (53.787) Prec@5 82.500 (82.969) Epoch: [64][5780/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8066 (1.7398) Prec@1 49.375 (53.788) Prec@5 81.875 (82.969) Epoch: [64][5790/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.6321 (1.7398) Prec@1 61.250 (53.788) Prec@5 84.375 (82.970) Epoch: [64][5800/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 2.2509 (1.7399) Prec@1 43.125 (53.784) Prec@5 76.250 (82.967) Epoch: [64][5810/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.5402 (1.7399) Prec@1 55.625 (53.788) Prec@5 86.250 (82.968) Epoch: [64][5820/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.5183 (1.7399) Prec@1 54.375 (53.790) Prec@5 87.500 (82.968) Epoch: [64][5830/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.6660 (1.7400) Prec@1 60.625 (53.791) Prec@5 80.625 (82.966) Epoch: [64][5840/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.6983 (1.7400) Prec@1 54.375 (53.791) Prec@5 84.375 (82.965) Epoch: [64][5850/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7361 (1.7400) Prec@1 50.000 (53.790) Prec@5 84.375 (82.965) Epoch: [64][5860/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.6930 (1.7400) Prec@1 51.875 (53.787) Prec@5 83.750 (82.964) Epoch: [64][5870/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.8489 (1.7400) Prec@1 50.625 (53.786) Prec@5 82.500 (82.964) Epoch: [64][5880/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8793 (1.7402) Prec@1 53.750 (53.783) Prec@5 75.625 (82.961) Epoch: [64][5890/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6694 (1.7401) Prec@1 56.250 (53.787) Prec@5 85.000 (82.961) Epoch: [64][5900/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.5044 (1.7401) Prec@1 61.875 (53.788) Prec@5 87.500 (82.963) Epoch: [64][5910/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.8756 (1.7400) Prec@1 48.125 (53.787) Prec@5 80.625 (82.965) Epoch: [64][5920/11272] Time 0.867 (0.776) Data 0.001 (0.002) Loss 1.6897 (1.7401) Prec@1 53.750 (53.785) Prec@5 85.625 (82.964) Epoch: [64][5930/11272] Time 0.684 (0.776) Data 0.001 (0.002) Loss 1.6289 (1.7402) Prec@1 53.750 (53.781) Prec@5 86.250 (82.965) Epoch: [64][5940/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8188 (1.7402) Prec@1 48.750 (53.780) Prec@5 83.750 (82.964) Epoch: [64][5950/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.7546 (1.7402) Prec@1 53.125 (53.779) Prec@5 80.000 (82.962) Epoch: [64][5960/11272] Time 0.712 (0.776) Data 0.003 (0.002) Loss 1.7996 (1.7403) Prec@1 51.875 (53.777) Prec@5 82.500 (82.961) Epoch: [64][5970/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7621 (1.7402) Prec@1 51.250 (53.778) Prec@5 83.125 (82.963) Epoch: [64][5980/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.9839 (1.7402) Prec@1 46.250 (53.777) Prec@5 81.250 (82.963) Epoch: [64][5990/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.5818 (1.7403) Prec@1 55.000 (53.778) Prec@5 82.500 (82.962) Epoch: [64][6000/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.6372 (1.7402) Prec@1 53.125 (53.779) Prec@5 86.250 (82.963) Epoch: [64][6010/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6756 (1.7402) Prec@1 56.250 (53.779) Prec@5 82.500 (82.962) Epoch: [64][6020/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.6884 (1.7402) Prec@1 51.250 (53.778) Prec@5 83.750 (82.961) Epoch: [64][6030/11272] Time 0.806 (0.776) Data 0.002 (0.002) Loss 1.6206 (1.7402) Prec@1 57.500 (53.779) Prec@5 85.625 (82.962) Epoch: [64][6040/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.6842 (1.7402) Prec@1 56.250 (53.777) Prec@5 83.750 (82.962) Epoch: [64][6050/11272] Time 0.706 (0.776) Data 0.002 (0.002) Loss 1.7775 (1.7402) Prec@1 53.125 (53.772) Prec@5 85.625 (82.962) Epoch: [64][6060/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6285 (1.7401) Prec@1 55.000 (53.772) Prec@5 86.875 (82.963) Epoch: [64][6070/11272] Time 0.791 (0.776) Data 0.001 (0.002) Loss 1.6864 (1.7403) Prec@1 51.875 (53.768) Prec@5 84.375 (82.962) Epoch: [64][6080/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6470 (1.7402) Prec@1 58.125 (53.769) Prec@5 81.250 (82.962) Epoch: [64][6090/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 2.0362 (1.7402) Prec@1 48.125 (53.767) Prec@5 79.375 (82.963) Epoch: [64][6100/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.9027 (1.7402) Prec@1 47.500 (53.769) Prec@5 83.125 (82.964) Epoch: [64][6110/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.7765 (1.7402) Prec@1 56.250 (53.770) Prec@5 81.875 (82.965) Epoch: [64][6120/11272] Time 0.743 (0.776) Data 0.001 (0.002) Loss 1.7680 (1.7401) Prec@1 50.000 (53.772) Prec@5 83.125 (82.965) Epoch: [64][6130/11272] Time 0.861 (0.776) Data 0.001 (0.002) Loss 1.9967 (1.7402) Prec@1 51.250 (53.769) Prec@5 75.625 (82.962) Epoch: [64][6140/11272] Time 0.871 (0.776) Data 0.002 (0.002) Loss 1.5089 (1.7402) Prec@1 57.500 (53.773) Prec@5 88.125 (82.963) Epoch: [64][6150/11272] Time 0.761 (0.776) Data 0.001 (0.002) Loss 1.7142 (1.7402) Prec@1 51.250 (53.771) Prec@5 83.125 (82.964) Epoch: [64][6160/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7613 (1.7403) Prec@1 56.250 (53.769) Prec@5 82.500 (82.958) Epoch: [64][6170/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.7584 (1.7403) Prec@1 54.375 (53.770) Prec@5 80.625 (82.958) Epoch: [64][6180/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.9915 (1.7404) Prec@1 45.000 (53.767) Prec@5 83.125 (82.957) Epoch: [64][6190/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.8666 (1.7404) Prec@1 48.750 (53.767) Prec@5 81.875 (82.956) Epoch: [64][6200/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.6467 (1.7404) Prec@1 52.500 (53.770) Prec@5 86.250 (82.957) Epoch: [64][6210/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.7277 (1.7404) Prec@1 50.000 (53.770) Prec@5 82.500 (82.955) Epoch: [64][6220/11272] Time 0.744 (0.776) Data 0.003 (0.002) Loss 1.8131 (1.7405) Prec@1 50.625 (53.769) Prec@5 84.375 (82.955) Epoch: [64][6230/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8730 (1.7405) Prec@1 55.625 (53.768) Prec@5 77.500 (82.954) Epoch: [64][6240/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.3886 (1.7405) Prec@1 63.125 (53.769) Prec@5 89.375 (82.954) Epoch: [64][6250/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6058 (1.7406) Prec@1 53.750 (53.763) Prec@5 86.250 (82.954) Epoch: [64][6260/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5105 (1.7406) Prec@1 56.250 (53.763) Prec@5 85.000 (82.955) Epoch: [64][6270/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.7396 (1.7406) Prec@1 53.125 (53.764) Prec@5 84.375 (82.955) Epoch: [64][6280/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7330 (1.7406) Prec@1 53.125 (53.763) Prec@5 82.500 (82.956) Epoch: [64][6290/11272] Time 0.796 (0.776) Data 0.001 (0.002) Loss 1.9492 (1.7407) Prec@1 50.625 (53.763) Prec@5 83.750 (82.956) Epoch: [64][6300/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8468 (1.7407) Prec@1 51.250 (53.761) Prec@5 83.125 (82.955) Epoch: [64][6310/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.8357 (1.7407) Prec@1 48.125 (53.761) Prec@5 82.500 (82.954) Epoch: [64][6320/11272] Time 0.866 (0.776) Data 0.002 (0.002) Loss 1.9189 (1.7408) Prec@1 41.875 (53.759) Prec@5 79.375 (82.954) Epoch: [64][6330/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.6489 (1.7408) Prec@1 55.000 (53.757) Prec@5 85.625 (82.954) Epoch: [64][6340/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7071 (1.7408) Prec@1 55.625 (53.757) Prec@5 86.875 (82.953) Epoch: [64][6350/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.7595 (1.7409) Prec@1 51.250 (53.757) Prec@5 83.125 (82.952) Epoch: [64][6360/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.6364 (1.7410) Prec@1 55.625 (53.756) Prec@5 82.500 (82.950) Epoch: [64][6370/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7683 (1.7410) Prec@1 54.375 (53.756) Prec@5 85.000 (82.951) Epoch: [64][6380/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.6103 (1.7411) Prec@1 64.375 (53.757) Prec@5 83.125 (82.950) Epoch: [64][6390/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.8267 (1.7411) Prec@1 51.250 (53.755) Prec@5 80.000 (82.950) Epoch: [64][6400/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.6221 (1.7411) Prec@1 56.250 (53.755) Prec@5 86.250 (82.949) Epoch: [64][6410/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.7055 (1.7410) Prec@1 52.500 (53.757) Prec@5 84.375 (82.950) Epoch: [64][6420/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.9143 (1.7411) Prec@1 52.500 (53.754) Prec@5 80.625 (82.949) Epoch: [64][6430/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.6890 (1.7412) Prec@1 54.375 (53.753) Prec@5 83.750 (82.947) Epoch: [64][6440/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6309 (1.7412) Prec@1 54.375 (53.754) Prec@5 85.625 (82.948) Epoch: [64][6450/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.9309 (1.7413) Prec@1 46.250 (53.751) Prec@5 78.750 (82.947) Epoch: [64][6460/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.8878 (1.7413) Prec@1 50.000 (53.748) Prec@5 76.875 (82.945) Epoch: [64][6470/11272] Time 0.859 (0.776) Data 0.001 (0.002) Loss 1.4903 (1.7413) Prec@1 60.000 (53.750) Prec@5 86.250 (82.945) Epoch: [64][6480/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.8128 (1.7413) Prec@1 49.375 (53.750) Prec@5 80.000 (82.944) Epoch: [64][6490/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.5931 (1.7411) Prec@1 54.375 (53.752) Prec@5 87.500 (82.945) Epoch: [64][6500/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.9583 (1.7412) Prec@1 50.000 (53.751) Prec@5 79.375 (82.944) Epoch: [64][6510/11272] Time 0.882 (0.776) Data 0.002 (0.002) Loss 1.6715 (1.7412) Prec@1 51.875 (53.752) Prec@5 83.125 (82.945) Epoch: [64][6520/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8896 (1.7412) Prec@1 53.750 (53.751) Prec@5 79.375 (82.944) Epoch: [64][6530/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.9187 (1.7413) Prec@1 50.000 (53.750) Prec@5 80.000 (82.944) Epoch: [64][6540/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.5292 (1.7412) Prec@1 56.875 (53.749) Prec@5 85.625 (82.944) Epoch: [64][6550/11272] Time 0.868 (0.776) Data 0.002 (0.002) Loss 1.8005 (1.7412) Prec@1 50.625 (53.752) Prec@5 82.500 (82.945) Epoch: [64][6560/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.4836 (1.7411) Prec@1 60.625 (53.755) Prec@5 88.125 (82.947) Epoch: [64][6570/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6598 (1.7412) Prec@1 58.125 (53.755) Prec@5 83.125 (82.947) Epoch: [64][6580/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.4866 (1.7412) Prec@1 62.500 (53.754) Prec@5 83.750 (82.944) Epoch: [64][6590/11272] Time 0.782 (0.776) Data 0.001 (0.002) Loss 1.7343 (1.7412) Prec@1 53.125 (53.757) Prec@5 81.250 (82.944) Epoch: [64][6600/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8725 (1.7412) Prec@1 50.625 (53.755) Prec@5 77.500 (82.945) Epoch: [64][6610/11272] Time 0.744 (0.776) Data 0.002 (0.002) Loss 1.8677 (1.7413) Prec@1 51.250 (53.752) Prec@5 80.000 (82.944) Epoch: [64][6620/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.6724 (1.7413) Prec@1 58.125 (53.751) Prec@5 86.250 (82.942) Epoch: [64][6630/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7564 (1.7412) Prec@1 51.875 (53.755) Prec@5 82.500 (82.944) Epoch: [64][6640/11272] Time 0.785 (0.776) Data 0.002 (0.002) Loss 1.9986 (1.7412) Prec@1 52.500 (53.757) Prec@5 76.875 (82.943) Epoch: [64][6650/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.5374 (1.7412) Prec@1 53.750 (53.757) Prec@5 86.250 (82.943) Epoch: [64][6660/11272] Time 0.836 (0.776) Data 0.002 (0.002) Loss 1.7276 (1.7411) Prec@1 56.875 (53.759) Prec@5 84.375 (82.943) Epoch: [64][6670/11272] Time 0.732 (0.776) Data 0.002 (0.002) Loss 1.4521 (1.7411) Prec@1 58.750 (53.758) Prec@5 90.625 (82.943) Epoch: [64][6680/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.9306 (1.7411) Prec@1 50.625 (53.760) Prec@5 80.000 (82.942) Epoch: [64][6690/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.7912 (1.7412) Prec@1 48.125 (53.757) Prec@5 85.000 (82.942) Epoch: [64][6700/11272] Time 0.908 (0.776) Data 0.002 (0.002) Loss 1.3179 (1.7411) Prec@1 65.000 (53.760) Prec@5 88.750 (82.944) Epoch: [64][6710/11272] Time 0.773 (0.776) Data 0.002 (0.002) Loss 1.6983 (1.7410) Prec@1 52.500 (53.764) Prec@5 85.000 (82.946) Epoch: [64][6720/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.6290 (1.7409) Prec@1 57.500 (53.765) Prec@5 81.875 (82.945) Epoch: [64][6730/11272] Time 0.878 (0.776) Data 0.002 (0.002) Loss 1.8955 (1.7410) Prec@1 54.375 (53.765) Prec@5 79.375 (82.944) Epoch: [64][6740/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6761 (1.7410) Prec@1 56.875 (53.765) Prec@5 83.750 (82.943) Epoch: [64][6750/11272] Time 0.757 (0.776) Data 0.002 (0.002) Loss 1.8313 (1.7412) Prec@1 49.375 (53.762) Prec@5 81.250 (82.941) Epoch: [64][6760/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.9116 (1.7412) Prec@1 48.125 (53.761) Prec@5 76.875 (82.939) Epoch: [64][6770/11272] Time 0.913 (0.776) Data 0.001 (0.002) Loss 1.8142 (1.7412) Prec@1 48.125 (53.759) Prec@5 83.125 (82.939) Epoch: [64][6780/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6461 (1.7412) Prec@1 57.500 (53.758) Prec@5 83.750 (82.938) Epoch: [64][6790/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.8601 (1.7412) Prec@1 50.625 (53.758) Prec@5 81.250 (82.939) Epoch: [64][6800/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8461 (1.7412) Prec@1 51.250 (53.758) Prec@5 80.625 (82.938) Epoch: [64][6810/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6940 (1.7411) Prec@1 56.250 (53.761) Prec@5 82.500 (82.939) Epoch: [64][6820/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.6586 (1.7411) Prec@1 58.125 (53.761) Prec@5 86.875 (82.938) Epoch: [64][6830/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7435 (1.7411) Prec@1 48.125 (53.763) Prec@5 84.375 (82.939) Epoch: [64][6840/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.8061 (1.7411) Prec@1 52.500 (53.762) Prec@5 79.375 (82.936) Epoch: [64][6850/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7828 (1.7411) Prec@1 51.250 (53.764) Prec@5 85.625 (82.938) Epoch: [64][6860/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.8051 (1.7411) Prec@1 55.000 (53.763) Prec@5 83.125 (82.938) Epoch: [64][6870/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.5710 (1.7410) Prec@1 57.500 (53.765) Prec@5 85.625 (82.941) Epoch: [64][6880/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.7421 (1.7409) Prec@1 48.750 (53.765) Prec@5 83.750 (82.942) Epoch: [64][6890/11272] Time 0.718 (0.776) Data 0.003 (0.002) Loss 1.8434 (1.7408) Prec@1 51.250 (53.766) Prec@5 84.375 (82.944) Epoch: [64][6900/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.8676 (1.7409) Prec@1 52.500 (53.763) Prec@5 80.000 (82.943) Epoch: [64][6910/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.9449 (1.7408) Prec@1 48.750 (53.764) Prec@5 80.000 (82.946) Epoch: [64][6920/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.5490 (1.7406) Prec@1 57.500 (53.767) Prec@5 85.000 (82.949) Epoch: [64][6930/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7740 (1.7407) Prec@1 52.500 (53.766) Prec@5 80.000 (82.946) Epoch: [64][6940/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.7519 (1.7407) Prec@1 55.625 (53.768) Prec@5 81.875 (82.945) Epoch: [64][6950/11272] Time 0.850 (0.776) Data 0.001 (0.002) Loss 1.7568 (1.7407) Prec@1 50.000 (53.770) Prec@5 82.500 (82.946) Epoch: [64][6960/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.7007 (1.7407) Prec@1 56.250 (53.769) Prec@5 80.625 (82.946) Epoch: [64][6970/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.9038 (1.7407) Prec@1 50.000 (53.768) Prec@5 82.500 (82.947) Epoch: [64][6980/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.7469 (1.7406) Prec@1 55.000 (53.767) Prec@5 81.250 (82.948) Epoch: [64][6990/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6259 (1.7405) Prec@1 53.750 (53.769) Prec@5 86.250 (82.949) Epoch: [64][7000/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.8605 (1.7406) Prec@1 55.625 (53.768) Prec@5 80.000 (82.949) Epoch: [64][7010/11272] Time 0.691 (0.776) Data 0.001 (0.002) Loss 1.4780 (1.7406) Prec@1 65.625 (53.770) Prec@5 87.500 (82.949) Epoch: [64][7020/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.7479 (1.7405) Prec@1 53.750 (53.774) Prec@5 83.125 (82.951) Epoch: [64][7030/11272] Time 0.860 (0.776) Data 0.002 (0.002) Loss 1.6346 (1.7405) Prec@1 57.500 (53.776) Prec@5 83.125 (82.951) Epoch: [64][7040/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.6837 (1.7405) Prec@1 50.000 (53.776) Prec@5 87.500 (82.950) Epoch: [64][7050/11272] Time 0.752 (0.776) Data 0.001 (0.002) Loss 1.5616 (1.7405) Prec@1 63.750 (53.777) Prec@5 84.375 (82.950) Epoch: [64][7060/11272] Time 0.815 (0.776) Data 0.002 (0.002) Loss 1.6079 (1.7405) Prec@1 61.875 (53.777) Prec@5 80.625 (82.950) Epoch: [64][7070/11272] Time 0.870 (0.776) Data 0.002 (0.002) Loss 1.7777 (1.7405) Prec@1 51.250 (53.775) Prec@5 83.750 (82.949) Epoch: [64][7080/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.5662 (1.7406) Prec@1 60.625 (53.775) Prec@5 87.500 (82.950) Epoch: [64][7090/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.6915 (1.7405) Prec@1 53.125 (53.774) Prec@5 83.125 (82.951) Epoch: [64][7100/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.6363 (1.7405) Prec@1 53.750 (53.773) Prec@5 83.750 (82.951) Epoch: [64][7110/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.9319 (1.7405) Prec@1 51.250 (53.772) Prec@5 80.625 (82.951) Epoch: [64][7120/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 2.0706 (1.7406) Prec@1 48.750 (53.774) Prec@5 80.000 (82.950) Epoch: [64][7130/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.5837 (1.7406) Prec@1 58.125 (53.773) Prec@5 88.125 (82.951) Epoch: [64][7140/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.8857 (1.7407) Prec@1 47.500 (53.769) Prec@5 78.750 (82.950) Epoch: [64][7150/11272] Time 0.762 (0.776) Data 0.004 (0.002) Loss 1.6952 (1.7406) Prec@1 56.250 (53.768) Prec@5 85.625 (82.952) Epoch: [64][7160/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.6054 (1.7406) Prec@1 55.625 (53.769) Prec@5 87.500 (82.952) Epoch: [64][7170/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.6384 (1.7406) Prec@1 52.500 (53.769) Prec@5 83.750 (82.953) Epoch: [64][7180/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.8012 (1.7407) Prec@1 46.875 (53.765) Prec@5 82.500 (82.950) Epoch: [64][7190/11272] Time 0.765 (0.776) Data 0.002 (0.002) Loss 1.8454 (1.7408) Prec@1 45.000 (53.761) Prec@5 82.500 (82.951) Epoch: [64][7200/11272] Time 0.746 (0.776) Data 0.001 (0.002) Loss 1.4849 (1.7408) Prec@1 58.750 (53.761) Prec@5 85.625 (82.950) Epoch: [64][7210/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.8573 (1.7408) Prec@1 49.375 (53.762) Prec@5 80.625 (82.949) Epoch: [64][7220/11272] Time 0.857 (0.776) Data 0.001 (0.002) Loss 1.6600 (1.7408) Prec@1 56.250 (53.763) Prec@5 87.500 (82.950) Epoch: [64][7230/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.9671 (1.7408) Prec@1 46.875 (53.762) Prec@5 77.500 (82.948) Epoch: [64][7240/11272] Time 0.750 (0.776) Data 0.001 (0.002) Loss 1.6633 (1.7407) Prec@1 56.250 (53.766) Prec@5 86.250 (82.949) Epoch: [64][7250/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.8340 (1.7407) Prec@1 51.875 (53.766) Prec@5 80.625 (82.948) Epoch: [64][7260/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.8133 (1.7407) Prec@1 53.125 (53.766) Prec@5 80.000 (82.949) Epoch: [64][7270/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9732 (1.7407) Prec@1 47.500 (53.766) Prec@5 79.375 (82.949) Epoch: [64][7280/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.7229 (1.7408) Prec@1 48.750 (53.767) Prec@5 86.250 (82.949) Epoch: [64][7290/11272] Time 0.791 (0.776) Data 0.001 (0.002) Loss 1.6246 (1.7407) Prec@1 55.625 (53.767) Prec@5 86.875 (82.949) Epoch: [64][7300/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 2.0568 (1.7408) Prec@1 45.625 (53.767) Prec@5 76.250 (82.949) Epoch: [64][7310/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.5478 (1.7408) Prec@1 58.125 (53.767) Prec@5 85.000 (82.949) Epoch: [64][7320/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5933 (1.7407) Prec@1 52.500 (53.767) Prec@5 84.375 (82.951) Epoch: [64][7330/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6610 (1.7407) Prec@1 57.500 (53.767) Prec@5 82.500 (82.952) Epoch: [64][7340/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.9315 (1.7407) Prec@1 52.500 (53.767) Prec@5 79.375 (82.952) Epoch: [64][7350/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.3664 (1.7406) Prec@1 61.250 (53.767) Prec@5 90.000 (82.954) Epoch: [64][7360/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.8429 (1.7405) Prec@1 47.500 (53.770) Prec@5 81.250 (82.954) Epoch: [64][7370/11272] Time 0.782 (0.776) Data 0.001 (0.002) Loss 1.8567 (1.7405) Prec@1 47.500 (53.772) Prec@5 80.625 (82.954) Epoch: [64][7380/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.8702 (1.7405) Prec@1 51.250 (53.773) Prec@5 78.750 (82.953) Epoch: [64][7390/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.7910 (1.7405) Prec@1 51.250 (53.773) Prec@5 88.125 (82.952) Epoch: [64][7400/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.8320 (1.7405) Prec@1 47.500 (53.774) Prec@5 81.875 (82.952) Epoch: [64][7410/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6567 (1.7404) Prec@1 56.875 (53.775) Prec@5 82.500 (82.954) Epoch: [64][7420/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 2.0534 (1.7405) Prec@1 51.875 (53.774) Prec@5 78.125 (82.952) Epoch: [64][7430/11272] Time 0.781 (0.776) Data 0.001 (0.002) Loss 1.8677 (1.7406) Prec@1 51.250 (53.770) Prec@5 79.375 (82.951) Epoch: [64][7440/11272] Time 0.841 (0.776) Data 0.001 (0.002) Loss 1.7900 (1.7405) Prec@1 56.875 (53.775) Prec@5 83.125 (82.954) Epoch: [64][7450/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.7169 (1.7405) Prec@1 59.375 (53.776) Prec@5 82.500 (82.954) Epoch: [64][7460/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6451 (1.7405) Prec@1 54.375 (53.776) Prec@5 87.500 (82.954) Epoch: [64][7470/11272] Time 0.860 (0.776) Data 0.006 (0.002) Loss 1.6912 (1.7405) Prec@1 51.250 (53.775) Prec@5 81.250 (82.953) Epoch: [64][7480/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7813 (1.7405) Prec@1 58.125 (53.776) Prec@5 81.875 (82.952) Epoch: [64][7490/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6400 (1.7404) Prec@1 54.375 (53.776) Prec@5 83.125 (82.952) Epoch: [64][7500/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.6911 (1.7405) Prec@1 53.750 (53.775) Prec@5 80.000 (82.952) Epoch: [64][7510/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.6896 (1.7405) Prec@1 55.625 (53.775) Prec@5 84.375 (82.952) Epoch: [64][7520/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.7734 (1.7404) Prec@1 50.000 (53.777) Prec@5 83.750 (82.953) Epoch: [64][7530/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.5866 (1.7405) Prec@1 56.250 (53.773) Prec@5 90.000 (82.953) Epoch: [64][7540/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.8415 (1.7404) Prec@1 48.750 (53.774) Prec@5 84.375 (82.954) Epoch: [64][7550/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.9901 (1.7405) Prec@1 54.375 (53.775) Prec@5 76.875 (82.953) Epoch: [64][7560/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.9460 (1.7406) Prec@1 53.750 (53.775) Prec@5 79.375 (82.951) Epoch: [64][7570/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8332 (1.7407) Prec@1 53.125 (53.772) Prec@5 76.250 (82.948) Epoch: [64][7580/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7424 (1.7407) Prec@1 50.625 (53.771) Prec@5 86.250 (82.948) Epoch: [64][7590/11272] Time 0.851 (0.776) Data 0.002 (0.002) Loss 1.7817 (1.7408) Prec@1 53.125 (53.767) Prec@5 84.375 (82.947) Epoch: [64][7600/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.6866 (1.7408) Prec@1 56.250 (53.767) Prec@5 84.375 (82.946) Epoch: [64][7610/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6008 (1.7408) Prec@1 53.750 (53.769) Prec@5 85.000 (82.945) Epoch: [64][7620/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.7852 (1.7409) Prec@1 51.250 (53.768) Prec@5 85.000 (82.946) Epoch: [64][7630/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6995 (1.7409) Prec@1 51.875 (53.768) Prec@5 85.000 (82.946) Epoch: [64][7640/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6194 (1.7409) Prec@1 52.500 (53.765) Prec@5 85.625 (82.946) Epoch: [64][7650/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.8450 (1.7409) Prec@1 50.625 (53.764) Prec@5 83.125 (82.946) Epoch: [64][7660/11272] Time 0.862 (0.776) Data 0.001 (0.002) Loss 1.7337 (1.7409) Prec@1 47.500 (53.764) Prec@5 87.500 (82.947) Epoch: [64][7670/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.7577 (1.7410) Prec@1 51.250 (53.759) Prec@5 86.875 (82.946) Epoch: [64][7680/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.7835 (1.7410) Prec@1 54.375 (53.760) Prec@5 80.000 (82.948) Epoch: [64][7690/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.5762 (1.7410) Prec@1 56.250 (53.758) Prec@5 85.625 (82.947) Epoch: [64][7700/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6588 (1.7410) Prec@1 51.875 (53.756) Prec@5 88.750 (82.948) Epoch: [64][7710/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.4985 (1.7409) Prec@1 61.875 (53.757) Prec@5 87.500 (82.948) Epoch: [64][7720/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8578 (1.7409) Prec@1 51.875 (53.757) Prec@5 80.625 (82.950) Epoch: [64][7730/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.8535 (1.7409) Prec@1 51.250 (53.756) Prec@5 78.750 (82.949) Epoch: [64][7740/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.7837 (1.7409) Prec@1 51.250 (53.757) Prec@5 80.625 (82.951) Epoch: [64][7750/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.9501 (1.7409) Prec@1 49.375 (53.758) Prec@5 80.625 (82.951) Epoch: [64][7760/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 2.0731 (1.7409) Prec@1 46.875 (53.756) Prec@5 76.875 (82.950) Epoch: [64][7770/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5581 (1.7408) Prec@1 59.375 (53.757) Prec@5 88.125 (82.951) Epoch: [64][7780/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7547 (1.7409) Prec@1 52.500 (53.755) Prec@5 80.625 (82.949) Epoch: [64][7790/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.8583 (1.7409) Prec@1 51.250 (53.754) Prec@5 81.250 (82.949) Epoch: [64][7800/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8365 (1.7409) Prec@1 51.250 (53.754) Prec@5 83.125 (82.950) Epoch: [64][7810/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.9088 (1.7409) Prec@1 46.250 (53.754) Prec@5 84.375 (82.951) Epoch: [64][7820/11272] Time 0.713 (0.776) Data 0.003 (0.002) Loss 1.8595 (1.7409) Prec@1 49.375 (53.755) Prec@5 81.875 (82.951) Epoch: [64][7830/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8347 (1.7410) Prec@1 51.250 (53.754) Prec@5 83.750 (82.951) Epoch: [64][7840/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 2.0004 (1.7411) Prec@1 48.750 (53.752) Prec@5 78.750 (82.950) Epoch: [64][7850/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7128 (1.7410) Prec@1 56.250 (53.752) Prec@5 81.250 (82.950) Epoch: [64][7860/11272] Time 0.743 (0.776) Data 0.001 (0.002) Loss 1.7532 (1.7410) Prec@1 59.375 (53.753) Prec@5 81.875 (82.952) Epoch: [64][7870/11272] Time 0.743 (0.776) Data 0.001 (0.002) Loss 1.9002 (1.7410) Prec@1 47.500 (53.751) Prec@5 80.625 (82.951) Epoch: [64][7880/11272] Time 0.860 (0.776) Data 0.001 (0.002) Loss 1.8684 (1.7412) Prec@1 49.375 (53.748) Prec@5 81.250 (82.947) Epoch: [64][7890/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6989 (1.7411) Prec@1 59.375 (53.748) Prec@5 82.500 (82.947) Epoch: [64][7900/11272] Time 0.689 (0.776) Data 0.001 (0.002) Loss 1.7415 (1.7412) Prec@1 56.875 (53.747) Prec@5 86.875 (82.946) Epoch: [64][7910/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.5884 (1.7412) Prec@1 55.625 (53.747) Prec@5 85.625 (82.947) Epoch: [64][7920/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.7577 (1.7411) Prec@1 50.625 (53.749) Prec@5 80.000 (82.949) Epoch: [64][7930/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.7442 (1.7410) Prec@1 55.625 (53.752) Prec@5 83.750 (82.952) Epoch: [64][7940/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 2.1432 (1.7411) Prec@1 45.625 (53.748) Prec@5 74.375 (82.948) Epoch: [64][7950/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.7908 (1.7412) Prec@1 54.375 (53.746) Prec@5 84.375 (82.948) Epoch: [64][7960/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.7428 (1.7412) Prec@1 48.750 (53.745) Prec@5 84.375 (82.948) Epoch: [64][7970/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.8240 (1.7412) Prec@1 48.125 (53.744) Prec@5 83.750 (82.948) Epoch: [64][7980/11272] Time 0.738 (0.776) Data 0.001 (0.002) Loss 1.8228 (1.7412) Prec@1 54.375 (53.746) Prec@5 80.000 (82.947) Epoch: [64][7990/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.7250 (1.7412) Prec@1 55.000 (53.746) Prec@5 83.125 (82.946) Epoch: [64][8000/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7073 (1.7411) Prec@1 51.875 (53.747) Prec@5 83.750 (82.947) Epoch: [64][8010/11272] Time 0.695 (0.776) Data 0.001 (0.002) Loss 1.7669 (1.7412) Prec@1 51.875 (53.746) Prec@5 83.750 (82.945) Epoch: [64][8020/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.4301 (1.7411) Prec@1 59.375 (53.747) Prec@5 88.750 (82.947) Epoch: [64][8030/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.7326 (1.7412) Prec@1 52.500 (53.745) Prec@5 81.875 (82.947) Epoch: [64][8040/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6617 (1.7412) Prec@1 55.000 (53.743) Prec@5 81.875 (82.947) Epoch: [64][8050/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6227 (1.7411) Prec@1 56.875 (53.745) Prec@5 81.250 (82.947) Epoch: [64][8060/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.8084 (1.7413) Prec@1 50.000 (53.741) Prec@5 82.500 (82.945) Epoch: [64][8070/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.8060 (1.7413) Prec@1 50.625 (53.741) Prec@5 78.125 (82.945) Epoch: [64][8080/11272] Time 0.710 (0.776) Data 0.003 (0.002) Loss 1.6968 (1.7412) Prec@1 53.125 (53.740) Prec@5 85.625 (82.944) Epoch: [64][8090/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.7746 (1.7412) Prec@1 51.250 (53.740) Prec@5 83.125 (82.943) Epoch: [64][8100/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8409 (1.7412) Prec@1 50.000 (53.742) Prec@5 81.250 (82.943) Epoch: [64][8110/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.6112 (1.7412) Prec@1 53.125 (53.744) Prec@5 85.625 (82.944) Epoch: [64][8120/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.7494 (1.7411) Prec@1 55.000 (53.746) Prec@5 81.875 (82.944) Epoch: [64][8130/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6792 (1.7411) Prec@1 52.500 (53.745) Prec@5 85.000 (82.945) Epoch: [64][8140/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.8238 (1.7411) Prec@1 51.250 (53.744) Prec@5 81.250 (82.945) Epoch: [64][8150/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7450 (1.7411) Prec@1 51.875 (53.742) Prec@5 82.500 (82.944) Epoch: [64][8160/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.5796 (1.7411) Prec@1 55.625 (53.743) Prec@5 85.000 (82.944) Epoch: [64][8170/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.6729 (1.7410) Prec@1 53.125 (53.744) Prec@5 85.000 (82.944) Epoch: [64][8180/11272] Time 0.809 (0.776) Data 0.002 (0.002) Loss 1.5536 (1.7409) Prec@1 59.375 (53.745) Prec@5 84.375 (82.944) Epoch: [64][8190/11272] Time 0.859 (0.776) Data 0.001 (0.002) Loss 1.5957 (1.7409) Prec@1 55.625 (53.748) Prec@5 86.250 (82.945) Epoch: [64][8200/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.7316 (1.7409) Prec@1 51.250 (53.747) Prec@5 84.375 (82.944) Epoch: [64][8210/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.9189 (1.7409) Prec@1 51.250 (53.747) Prec@5 77.500 (82.945) Epoch: [64][8220/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.4820 (1.7409) Prec@1 59.375 (53.747) Prec@5 86.875 (82.946) Epoch: [64][8230/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7771 (1.7409) Prec@1 53.750 (53.748) Prec@5 80.625 (82.947) Epoch: [64][8240/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.9930 (1.7409) Prec@1 51.875 (53.747) Prec@5 80.625 (82.947) Epoch: [64][8250/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.7211 (1.7410) Prec@1 51.250 (53.746) Prec@5 86.875 (82.945) Epoch: [64][8260/11272] Time 0.786 (0.776) Data 0.001 (0.002) Loss 1.8217 (1.7411) Prec@1 48.750 (53.743) Prec@5 81.250 (82.945) Epoch: [64][8270/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 1.8447 (1.7411) Prec@1 58.750 (53.743) Prec@5 80.000 (82.944) Epoch: [64][8280/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8051 (1.7411) Prec@1 53.750 (53.744) Prec@5 80.000 (82.943) Epoch: [64][8290/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.8176 (1.7411) Prec@1 44.375 (53.742) Prec@5 85.625 (82.943) Epoch: [64][8300/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.7318 (1.7411) Prec@1 53.125 (53.743) Prec@5 86.250 (82.944) Epoch: [64][8310/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.8331 (1.7411) Prec@1 53.750 (53.742) Prec@5 85.000 (82.942) Epoch: [64][8320/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7051 (1.7412) Prec@1 54.375 (53.740) Prec@5 85.625 (82.942) Epoch: [64][8330/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7770 (1.7412) Prec@1 50.000 (53.740) Prec@5 82.500 (82.942) Epoch: [64][8340/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.7024 (1.7412) Prec@1 56.250 (53.740) Prec@5 85.000 (82.943) Epoch: [64][8350/11272] Time 0.690 (0.776) Data 0.001 (0.002) Loss 1.7122 (1.7411) Prec@1 50.625 (53.741) Prec@5 81.875 (82.943) Epoch: [64][8360/11272] Time 0.889 (0.776) Data 0.001 (0.002) Loss 1.8156 (1.7411) Prec@1 49.375 (53.741) Prec@5 81.250 (82.944) Epoch: [64][8370/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.5184 (1.7411) Prec@1 63.750 (53.743) Prec@5 88.750 (82.944) Epoch: [64][8380/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 2.0707 (1.7411) Prec@1 53.125 (53.742) Prec@5 78.125 (82.943) Epoch: [64][8390/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.6404 (1.7410) Prec@1 56.875 (53.744) Prec@5 83.125 (82.944) Epoch: [64][8400/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6222 (1.7410) Prec@1 60.000 (53.744) Prec@5 88.125 (82.946) Epoch: [64][8410/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.6994 (1.7409) Prec@1 53.750 (53.744) Prec@5 83.750 (82.948) Epoch: [64][8420/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.6158 (1.7409) Prec@1 53.125 (53.744) Prec@5 83.750 (82.948) Epoch: [64][8430/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8352 (1.7410) Prec@1 53.750 (53.743) Prec@5 85.000 (82.948) Epoch: [64][8440/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.7948 (1.7410) Prec@1 50.000 (53.743) Prec@5 82.500 (82.948) Epoch: [64][8450/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7846 (1.7409) Prec@1 53.750 (53.744) Prec@5 83.750 (82.950) Epoch: [64][8460/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.7998 (1.7409) Prec@1 50.625 (53.745) Prec@5 81.250 (82.949) Epoch: [64][8470/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8357 (1.7409) Prec@1 53.750 (53.744) Prec@5 78.750 (82.949) Epoch: [64][8480/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.4972 (1.7409) Prec@1 61.875 (53.745) Prec@5 86.875 (82.950) Epoch: [64][8490/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.8935 (1.7410) Prec@1 48.125 (53.744) Prec@5 79.375 (82.949) Epoch: [64][8500/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8552 (1.7410) Prec@1 51.875 (53.743) Prec@5 79.375 (82.947) Epoch: [64][8510/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.5512 (1.7411) Prec@1 58.750 (53.741) Prec@5 86.250 (82.945) Epoch: [64][8520/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.8161 (1.7411) Prec@1 48.125 (53.741) Prec@5 83.125 (82.946) Epoch: [64][8530/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.9024 (1.7411) Prec@1 51.250 (53.742) Prec@5 79.375 (82.946) Epoch: [64][8540/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.8350 (1.7410) Prec@1 51.250 (53.743) Prec@5 80.625 (82.947) Epoch: [64][8550/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.9828 (1.7411) Prec@1 50.000 (53.740) Prec@5 78.125 (82.945) Epoch: [64][8560/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6853 (1.7411) Prec@1 56.250 (53.739) Prec@5 82.500 (82.944) Epoch: [64][8570/11272] Time 0.754 (0.776) Data 0.001 (0.002) Loss 1.7341 (1.7412) Prec@1 56.250 (53.736) Prec@5 82.500 (82.942) Epoch: [64][8580/11272] Time 0.734 (0.776) Data 0.001 (0.002) Loss 1.9082 (1.7413) Prec@1 50.625 (53.733) Prec@5 81.250 (82.942) Epoch: [64][8590/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.6502 (1.7413) Prec@1 55.625 (53.735) Prec@5 84.375 (82.943) Epoch: [64][8600/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.8436 (1.7413) Prec@1 53.750 (53.733) Prec@5 82.500 (82.944) Epoch: [64][8610/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7401 (1.7413) Prec@1 55.625 (53.735) Prec@5 81.875 (82.944) Epoch: [64][8620/11272] Time 0.776 (0.776) Data 0.001 (0.002) Loss 1.6770 (1.7413) Prec@1 58.125 (53.735) Prec@5 86.250 (82.945) Epoch: [64][8630/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.5852 (1.7413) Prec@1 58.750 (53.734) Prec@5 86.250 (82.946) Epoch: [64][8640/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.9172 (1.7413) Prec@1 51.875 (53.736) Prec@5 81.250 (82.946) Epoch: [64][8650/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.9422 (1.7414) Prec@1 46.875 (53.734) Prec@5 81.875 (82.945) Epoch: [64][8660/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8237 (1.7414) Prec@1 49.375 (53.733) Prec@5 83.750 (82.944) Epoch: [64][8670/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7578 (1.7413) Prec@1 52.500 (53.735) Prec@5 84.375 (82.945) Epoch: [64][8680/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.5980 (1.7413) Prec@1 61.875 (53.737) Prec@5 82.500 (82.946) Epoch: [64][8690/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7275 (1.7412) Prec@1 56.250 (53.737) Prec@5 83.750 (82.947) Epoch: [64][8700/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7476 (1.7413) Prec@1 48.750 (53.735) Prec@5 83.125 (82.948) Epoch: [64][8710/11272] Time 0.847 (0.776) Data 0.002 (0.002) Loss 1.6226 (1.7412) Prec@1 58.125 (53.737) Prec@5 85.625 (82.950) Epoch: [64][8720/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7755 (1.7411) Prec@1 54.375 (53.740) Prec@5 81.250 (82.950) Epoch: [64][8730/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7124 (1.7411) Prec@1 55.625 (53.741) Prec@5 81.875 (82.950) Epoch: [64][8740/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.9187 (1.7411) Prec@1 49.375 (53.739) Prec@5 83.125 (82.949) Epoch: [64][8750/11272] Time 0.704 (0.776) Data 0.003 (0.002) Loss 1.7110 (1.7411) Prec@1 53.750 (53.740) Prec@5 83.125 (82.950) Epoch: [64][8760/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.6960 (1.7411) Prec@1 53.750 (53.740) Prec@5 83.750 (82.949) Epoch: [64][8770/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6402 (1.7410) Prec@1 54.375 (53.742) Prec@5 83.750 (82.950) Epoch: [64][8780/11272] Time 0.851 (0.776) Data 0.001 (0.002) Loss 1.8417 (1.7410) Prec@1 48.125 (53.742) Prec@5 82.500 (82.950) Epoch: [64][8790/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8007 (1.7411) Prec@1 51.250 (53.740) Prec@5 81.250 (82.949) Epoch: [64][8800/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5899 (1.7411) Prec@1 56.875 (53.740) Prec@5 85.625 (82.948) Epoch: [64][8810/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7615 (1.7410) Prec@1 52.500 (53.741) Prec@5 81.875 (82.949) Epoch: [64][8820/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.8635 (1.7411) Prec@1 46.250 (53.740) Prec@5 82.500 (82.950) Epoch: [64][8830/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.8108 (1.7411) Prec@1 51.250 (53.738) Prec@5 81.250 (82.948) Epoch: [64][8840/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6990 (1.7411) Prec@1 55.000 (53.739) Prec@5 84.375 (82.948) Epoch: [64][8850/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.5598 (1.7412) Prec@1 58.750 (53.739) Prec@5 86.875 (82.947) Epoch: [64][8860/11272] Time 0.862 (0.776) Data 0.002 (0.002) Loss 1.5351 (1.7411) Prec@1 58.125 (53.741) Prec@5 86.250 (82.949) Epoch: [64][8870/11272] Time 0.739 (0.776) Data 0.001 (0.002) Loss 1.5138 (1.7411) Prec@1 61.250 (53.741) Prec@5 86.875 (82.948) Epoch: [64][8880/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.8471 (1.7412) Prec@1 46.250 (53.740) Prec@5 81.250 (82.947) Epoch: [64][8890/11272] Time 0.866 (0.776) Data 0.001 (0.002) Loss 1.6226 (1.7412) Prec@1 56.250 (53.740) Prec@5 85.000 (82.946) Epoch: [64][8900/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8651 (1.7412) Prec@1 54.375 (53.740) Prec@5 79.375 (82.945) Epoch: [64][8910/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5306 (1.7411) Prec@1 61.250 (53.741) Prec@5 85.625 (82.946) Epoch: [64][8920/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 2.0104 (1.7412) Prec@1 47.500 (53.740) Prec@5 78.750 (82.946) Epoch: [64][8930/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.9082 (1.7412) Prec@1 51.875 (53.739) Prec@5 78.750 (82.946) Epoch: [64][8940/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.7309 (1.7412) Prec@1 56.875 (53.739) Prec@5 82.500 (82.945) Epoch: [64][8950/11272] Time 0.762 (0.775) Data 0.001 (0.002) Loss 1.4692 (1.7411) Prec@1 60.000 (53.740) Prec@5 86.875 (82.947) Epoch: [64][8960/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5861 (1.7411) Prec@1 56.875 (53.739) Prec@5 85.625 (82.946) Epoch: [64][8970/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.7844 (1.7411) Prec@1 56.875 (53.740) Prec@5 85.625 (82.945) Epoch: [64][8980/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.7494 (1.7412) Prec@1 53.125 (53.739) Prec@5 83.125 (82.944) Epoch: [64][8990/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4867 (1.7412) Prec@1 62.500 (53.740) Prec@5 85.000 (82.943) Epoch: [64][9000/11272] Time 0.837 (0.775) Data 0.001 (0.002) Loss 1.7880 (1.7411) Prec@1 56.875 (53.741) Prec@5 80.625 (82.945) Epoch: [64][9010/11272] Time 0.710 (0.775) Data 0.003 (0.002) Loss 1.5513 (1.7411) Prec@1 58.750 (53.743) Prec@5 84.375 (82.946) Epoch: [64][9020/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.8863 (1.7411) Prec@1 52.500 (53.742) Prec@5 78.125 (82.946) Epoch: [64][9030/11272] Time 0.842 (0.775) Data 0.001 (0.002) Loss 1.6483 (1.7411) Prec@1 60.000 (53.741) Prec@5 85.625 (82.945) Epoch: [64][9040/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7135 (1.7410) Prec@1 57.500 (53.744) Prec@5 81.250 (82.946) Epoch: [64][9050/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.8998 (1.7410) Prec@1 52.500 (53.743) Prec@5 80.000 (82.946) Epoch: [64][9060/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5387 (1.7409) Prec@1 55.625 (53.743) Prec@5 88.125 (82.947) Epoch: [64][9070/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.7339 (1.7409) Prec@1 52.500 (53.741) Prec@5 83.125 (82.948) Epoch: [64][9080/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.9174 (1.7410) Prec@1 50.000 (53.740) Prec@5 80.000 (82.948) Epoch: [64][9090/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.4713 (1.7410) Prec@1 59.375 (53.739) Prec@5 87.500 (82.948) Epoch: [64][9100/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.7903 (1.7410) Prec@1 51.875 (53.739) Prec@5 82.500 (82.949) Epoch: [64][9110/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.5411 (1.7409) Prec@1 56.875 (53.740) Prec@5 86.875 (82.949) Epoch: [64][9120/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.5920 (1.7410) Prec@1 58.750 (53.740) Prec@5 84.375 (82.948) Epoch: [64][9130/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.9123 (1.7410) Prec@1 49.375 (53.740) Prec@5 80.625 (82.948) Epoch: [64][9140/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.5954 (1.7409) Prec@1 56.250 (53.742) Prec@5 84.375 (82.949) Epoch: [64][9150/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.9544 (1.7409) Prec@1 48.750 (53.742) Prec@5 83.125 (82.949) Epoch: [64][9160/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8239 (1.7410) Prec@1 51.250 (53.739) Prec@5 79.375 (82.947) Epoch: [64][9170/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.8303 (1.7409) Prec@1 47.500 (53.740) Prec@5 83.750 (82.948) Epoch: [64][9180/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.8500 (1.7410) Prec@1 53.750 (53.739) Prec@5 79.375 (82.947) Epoch: [64][9190/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.6900 (1.7411) Prec@1 56.875 (53.737) Prec@5 84.375 (82.947) Epoch: [64][9200/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.5612 (1.7411) Prec@1 61.250 (53.738) Prec@5 83.750 (82.948) Epoch: [64][9210/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.9648 (1.7411) Prec@1 48.125 (53.736) Prec@5 77.500 (82.947) Epoch: [64][9220/11272] Time 0.840 (0.775) Data 0.001 (0.002) Loss 1.5230 (1.7411) Prec@1 59.375 (53.738) Prec@5 86.250 (82.947) Epoch: [64][9230/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.9679 (1.7411) Prec@1 51.250 (53.737) Prec@5 77.500 (82.947) Epoch: [64][9240/11272] Time 0.780 (0.775) Data 0.002 (0.002) Loss 1.8427 (1.7411) Prec@1 51.875 (53.737) Prec@5 84.375 (82.946) Epoch: [64][9250/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.6856 (1.7411) Prec@1 55.000 (53.737) Prec@5 82.500 (82.946) Epoch: [64][9260/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.6722 (1.7411) Prec@1 52.500 (53.736) Prec@5 87.500 (82.946) Epoch: [64][9270/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.6007 (1.7411) Prec@1 56.250 (53.737) Prec@5 86.250 (82.947) Epoch: [64][9280/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.7347 (1.7411) Prec@1 58.125 (53.737) Prec@5 81.875 (82.946) Epoch: [64][9290/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.5740 (1.7411) Prec@1 58.750 (53.738) Prec@5 83.750 (82.947) Epoch: [64][9300/11272] Time 0.871 (0.775) Data 0.002 (0.002) Loss 1.7340 (1.7410) Prec@1 56.250 (53.740) Prec@5 80.000 (82.947) Epoch: [64][9310/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6293 (1.7410) Prec@1 56.875 (53.741) Prec@5 82.500 (82.948) Epoch: [64][9320/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.8156 (1.7409) Prec@1 52.500 (53.742) Prec@5 81.250 (82.949) Epoch: [64][9330/11272] Time 0.848 (0.775) Data 0.002 (0.002) Loss 1.8810 (1.7410) Prec@1 45.625 (53.741) Prec@5 83.125 (82.948) Epoch: [64][9340/11272] Time 0.850 (0.775) Data 0.001 (0.002) Loss 1.7594 (1.7410) Prec@1 55.000 (53.742) Prec@5 84.375 (82.948) Epoch: [64][9350/11272] Time 0.744 (0.775) Data 0.001 (0.002) Loss 1.8127 (1.7410) Prec@1 55.000 (53.743) Prec@5 80.000 (82.948) Epoch: [64][9360/11272] Time 0.756 (0.775) Data 0.002 (0.002) Loss 1.7250 (1.7409) Prec@1 55.000 (53.744) Prec@5 85.625 (82.949) Epoch: [64][9370/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.8260 (1.7409) Prec@1 49.375 (53.743) Prec@5 83.125 (82.949) Epoch: [64][9380/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.6933 (1.7410) Prec@1 54.375 (53.742) Prec@5 85.625 (82.948) Epoch: [64][9390/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.8249 (1.7410) Prec@1 50.625 (53.740) Prec@5 83.125 (82.948) Epoch: [64][9400/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7108 (1.7410) Prec@1 55.625 (53.741) Prec@5 83.750 (82.948) Epoch: [64][9410/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8210 (1.7411) Prec@1 51.875 (53.739) Prec@5 83.750 (82.947) Epoch: [64][9420/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.7659 (1.7411) Prec@1 51.250 (53.738) Prec@5 81.250 (82.947) Epoch: [64][9430/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.9007 (1.7411) Prec@1 49.375 (53.737) Prec@5 79.375 (82.946) Epoch: [64][9440/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.7864 (1.7411) Prec@1 53.125 (53.740) Prec@5 85.625 (82.947) Epoch: [64][9450/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7912 (1.7412) Prec@1 54.375 (53.739) Prec@5 78.750 (82.946) Epoch: [64][9460/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.8874 (1.7412) Prec@1 48.750 (53.739) Prec@5 81.250 (82.945) Epoch: [64][9470/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.9835 (1.7412) Prec@1 46.250 (53.739) Prec@5 81.875 (82.945) Epoch: [64][9480/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7502 (1.7412) Prec@1 51.875 (53.737) Prec@5 81.250 (82.945) Epoch: [64][9490/11272] Time 0.856 (0.775) Data 0.002 (0.002) Loss 1.8537 (1.7412) Prec@1 50.625 (53.738) Prec@5 83.750 (82.946) Epoch: [64][9500/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.6214 (1.7412) Prec@1 59.375 (53.736) Prec@5 81.250 (82.946) Epoch: [64][9510/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.5774 (1.7412) Prec@1 62.500 (53.737) Prec@5 83.125 (82.945) Epoch: [64][9520/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6164 (1.7411) Prec@1 61.250 (53.738) Prec@5 85.000 (82.945) Epoch: [64][9530/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.8268 (1.7411) Prec@1 52.500 (53.739) Prec@5 77.500 (82.945) Epoch: [64][9540/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6842 (1.7411) Prec@1 58.125 (53.738) Prec@5 85.000 (82.945) Epoch: [64][9550/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.8162 (1.7411) Prec@1 51.250 (53.736) Prec@5 82.500 (82.946) Epoch: [64][9560/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.6942 (1.7411) Prec@1 56.875 (53.738) Prec@5 83.125 (82.947) Epoch: [64][9570/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.9568 (1.7411) Prec@1 51.875 (53.737) Prec@5 77.500 (82.947) Epoch: [64][9580/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.9806 (1.7411) Prec@1 46.875 (53.737) Prec@5 76.250 (82.947) Epoch: [64][9590/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.6710 (1.7411) Prec@1 59.375 (53.737) Prec@5 83.125 (82.945) Epoch: [64][9600/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.7679 (1.7411) Prec@1 49.375 (53.738) Prec@5 83.125 (82.946) Epoch: [64][9610/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.8927 (1.7410) Prec@1 51.250 (53.741) Prec@5 80.625 (82.947) Epoch: [64][9620/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.8421 (1.7410) Prec@1 56.250 (53.743) Prec@5 79.375 (82.946) Epoch: [64][9630/11272] Time 0.790 (0.775) Data 0.001 (0.002) Loss 1.7920 (1.7410) Prec@1 55.000 (53.744) Prec@5 77.500 (82.947) Epoch: [64][9640/11272] Time 0.794 (0.775) Data 0.001 (0.002) Loss 1.9630 (1.7411) Prec@1 48.125 (53.742) Prec@5 80.000 (82.945) Epoch: [64][9650/11272] Time 0.754 (0.775) Data 0.002 (0.002) Loss 1.9237 (1.7411) Prec@1 46.250 (53.742) Prec@5 81.250 (82.944) Epoch: [64][9660/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.7216 (1.7411) Prec@1 51.875 (53.742) Prec@5 80.625 (82.945) Epoch: [64][9670/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.7223 (1.7411) Prec@1 52.500 (53.743) Prec@5 80.000 (82.944) Epoch: [64][9680/11272] Time 0.720 (0.775) Data 0.004 (0.002) Loss 1.9797 (1.7412) Prec@1 50.625 (53.740) Prec@5 80.000 (82.943) Epoch: [64][9690/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.5080 (1.7411) Prec@1 56.875 (53.741) Prec@5 85.625 (82.943) Epoch: [64][9700/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.4420 (1.7411) Prec@1 60.625 (53.742) Prec@5 86.875 (82.944) Epoch: [64][9710/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.8306 (1.7410) Prec@1 55.625 (53.743) Prec@5 78.750 (82.945) Epoch: [64][9720/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 2.1415 (1.7411) Prec@1 49.375 (53.742) Prec@5 76.875 (82.943) Epoch: [64][9730/11272] Time 0.709 (0.775) Data 0.002 (0.002) Loss 1.6679 (1.7412) Prec@1 56.875 (53.742) Prec@5 82.500 (82.942) Epoch: [64][9740/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6717 (1.7411) Prec@1 53.750 (53.743) Prec@5 81.875 (82.942) Epoch: [64][9750/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7847 (1.7411) Prec@1 55.000 (53.742) Prec@5 79.375 (82.943) Epoch: [64][9760/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.5479 (1.7410) Prec@1 56.875 (53.743) Prec@5 86.875 (82.945) Epoch: [64][9770/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.8692 (1.7411) Prec@1 51.875 (53.741) Prec@5 79.375 (82.943) Epoch: [64][9780/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.7462 (1.7411) Prec@1 51.875 (53.742) Prec@5 83.750 (82.942) Epoch: [64][9790/11272] Time 0.880 (0.775) Data 0.002 (0.002) Loss 1.8317 (1.7410) Prec@1 55.625 (53.742) Prec@5 80.000 (82.942) Epoch: [64][9800/11272] Time 0.807 (0.775) Data 0.002 (0.002) Loss 1.6643 (1.7411) Prec@1 53.125 (53.740) Prec@5 84.375 (82.942) Epoch: [64][9810/11272] Time 0.856 (0.775) Data 0.001 (0.002) Loss 1.8979 (1.7411) Prec@1 46.250 (53.740) Prec@5 82.500 (82.942) Epoch: [64][9820/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.9590 (1.7412) Prec@1 46.875 (53.739) Prec@5 80.625 (82.943) Epoch: [64][9830/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.7625 (1.7412) Prec@1 53.125 (53.737) Prec@5 83.125 (82.943) Epoch: [64][9840/11272] Time 0.693 (0.775) Data 0.001 (0.002) Loss 1.6535 (1.7411) Prec@1 56.250 (53.738) Prec@5 84.375 (82.944) Epoch: [64][9850/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6607 (1.7411) Prec@1 52.500 (53.738) Prec@5 83.750 (82.944) Epoch: [64][9860/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7153 (1.7412) Prec@1 56.250 (53.738) Prec@5 81.250 (82.944) Epoch: [64][9870/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7041 (1.7412) Prec@1 54.375 (53.738) Prec@5 85.625 (82.943) Epoch: [64][9880/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7090 (1.7411) Prec@1 56.875 (53.740) Prec@5 84.375 (82.945) Epoch: [64][9890/11272] Time 0.863 (0.775) Data 0.001 (0.002) Loss 1.7225 (1.7411) Prec@1 56.875 (53.740) Prec@5 84.375 (82.946) Epoch: [64][9900/11272] Time 0.858 (0.775) Data 0.001 (0.002) Loss 1.7271 (1.7412) Prec@1 51.875 (53.739) Prec@5 85.625 (82.944) Epoch: [64][9910/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.6889 (1.7412) Prec@1 55.625 (53.738) Prec@5 86.875 (82.943) Epoch: [64][9920/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5250 (1.7411) Prec@1 58.125 (53.738) Prec@5 83.125 (82.944) Epoch: [64][9930/11272] Time 0.857 (0.775) Data 0.001 (0.002) Loss 1.7428 (1.7411) Prec@1 54.375 (53.738) Prec@5 84.375 (82.945) Epoch: [64][9940/11272] Time 0.771 (0.775) Data 0.003 (0.002) Loss 2.0726 (1.7411) Prec@1 44.375 (53.737) Prec@5 78.750 (82.944) Epoch: [64][9950/11272] Time 0.685 (0.775) Data 0.001 (0.002) Loss 1.6325 (1.7412) Prec@1 54.375 (53.736) Prec@5 85.625 (82.943) Epoch: [64][9960/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.6589 (1.7411) Prec@1 50.000 (53.736) Prec@5 86.250 (82.943) Epoch: [64][9970/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.9038 (1.7412) Prec@1 49.375 (53.734) Prec@5 79.375 (82.943) Epoch: [64][9980/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.9368 (1.7412) Prec@1 47.500 (53.732) Prec@5 81.875 (82.943) Epoch: [64][9990/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5691 (1.7411) Prec@1 54.375 (53.734) Prec@5 87.500 (82.944) Epoch: [64][10000/11272] Time 0.870 (0.775) Data 0.002 (0.002) Loss 1.8583 (1.7411) Prec@1 51.875 (53.734) Prec@5 80.625 (82.943) Epoch: [64][10010/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5861 (1.7411) Prec@1 58.125 (53.735) Prec@5 85.000 (82.944) Epoch: [64][10020/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.8264 (1.7411) Prec@1 53.750 (53.735) Prec@5 79.375 (82.944) Epoch: [64][10030/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.8942 (1.7412) Prec@1 53.125 (53.734) Prec@5 78.750 (82.942) Epoch: [64][10040/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.3576 (1.7411) Prec@1 61.875 (53.735) Prec@5 90.625 (82.943) Epoch: [64][10050/11272] Time 0.855 (0.775) Data 0.001 (0.002) Loss 1.7360 (1.7412) Prec@1 48.750 (53.734) Prec@5 83.125 (82.943) Epoch: [64][10060/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.7389 (1.7413) Prec@1 57.500 (53.732) Prec@5 83.125 (82.942) Epoch: [64][10070/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7205 (1.7412) Prec@1 53.750 (53.732) Prec@5 90.000 (82.943) Epoch: [64][10080/11272] Time 0.811 (0.775) Data 0.002 (0.002) Loss 1.6826 (1.7411) Prec@1 58.125 (53.735) Prec@5 85.625 (82.946) Epoch: [64][10090/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.6947 (1.7412) Prec@1 58.125 (53.734) Prec@5 85.000 (82.944) Epoch: [64][10100/11272] Time 0.699 (0.775) Data 0.001 (0.002) Loss 1.5939 (1.7412) Prec@1 56.250 (53.735) Prec@5 85.000 (82.945) Epoch: [64][10110/11272] Time 0.794 (0.775) Data 0.001 (0.002) Loss 1.9456 (1.7413) Prec@1 48.125 (53.734) Prec@5 80.000 (82.943) Epoch: [64][10120/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.6516 (1.7413) Prec@1 52.500 (53.733) Prec@5 83.125 (82.943) Epoch: [64][10130/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7667 (1.7413) Prec@1 49.375 (53.733) Prec@5 80.625 (82.943) Epoch: [64][10140/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6573 (1.7412) Prec@1 48.750 (53.735) Prec@5 86.250 (82.945) Epoch: [64][10150/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.7297 (1.7411) Prec@1 58.750 (53.738) Prec@5 83.125 (82.947) Epoch: [64][10160/11272] Time 0.889 (0.775) Data 0.002 (0.002) Loss 1.7405 (1.7411) Prec@1 52.500 (53.737) Prec@5 86.250 (82.948) Epoch: [64][10170/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7422 (1.7410) Prec@1 55.625 (53.739) Prec@5 86.875 (82.949) Epoch: [64][10180/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.5705 (1.7410) Prec@1 60.625 (53.740) Prec@5 85.000 (82.949) Epoch: [64][10190/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.5855 (1.7410) Prec@1 56.875 (53.741) Prec@5 86.250 (82.951) Epoch: [64][10200/11272] Time 0.873 (0.775) Data 0.002 (0.002) Loss 1.6762 (1.7410) Prec@1 55.625 (53.740) Prec@5 82.500 (82.950) Epoch: [64][10210/11272] Time 0.749 (0.775) Data 0.001 (0.002) Loss 1.8386 (1.7410) Prec@1 52.500 (53.739) Prec@5 82.500 (82.950) Epoch: [64][10220/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.7453 (1.7410) Prec@1 56.875 (53.739) Prec@5 83.750 (82.950) Epoch: [64][10230/11272] Time 0.783 (0.775) Data 0.001 (0.002) Loss 1.6844 (1.7410) Prec@1 55.625 (53.739) Prec@5 86.250 (82.951) Epoch: [64][10240/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.8901 (1.7410) Prec@1 50.625 (53.738) Prec@5 81.250 (82.950) Epoch: [64][10250/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6719 (1.7411) Prec@1 50.000 (53.736) Prec@5 83.125 (82.948) Epoch: [64][10260/11272] Time 0.889 (0.775) Data 0.002 (0.002) Loss 1.9311 (1.7411) Prec@1 51.875 (53.736) Prec@5 82.500 (82.949) Epoch: [64][10270/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6328 (1.7411) Prec@1 53.750 (53.736) Prec@5 86.875 (82.950) Epoch: [64][10280/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.5425 (1.7410) Prec@1 55.625 (53.737) Prec@5 86.875 (82.951) Epoch: [64][10290/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.4963 (1.7411) Prec@1 57.500 (53.735) Prec@5 90.625 (82.952) Epoch: [64][10300/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.5690 (1.7410) Prec@1 55.000 (53.737) Prec@5 84.375 (82.953) Epoch: [64][10310/11272] Time 0.863 (0.775) Data 0.002 (0.002) Loss 1.7454 (1.7410) Prec@1 52.500 (53.736) Prec@5 84.375 (82.953) Epoch: [64][10320/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.9380 (1.7410) Prec@1 48.125 (53.735) Prec@5 73.125 (82.951) Epoch: [64][10330/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 2.1690 (1.7412) Prec@1 46.875 (53.732) Prec@5 77.500 (82.949) Epoch: [64][10340/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.8589 (1.7412) Prec@1 55.625 (53.733) Prec@5 81.875 (82.950) Epoch: [64][10350/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6772 (1.7412) Prec@1 53.125 (53.735) Prec@5 83.125 (82.950) Epoch: [64][10360/11272] Time 0.734 (0.775) Data 0.001 (0.002) Loss 1.9455 (1.7412) Prec@1 45.000 (53.736) Prec@5 80.625 (82.949) Epoch: [64][10370/11272] Time 0.849 (0.775) Data 0.001 (0.002) Loss 1.8880 (1.7412) Prec@1 50.625 (53.735) Prec@5 78.750 (82.948) Epoch: [64][10380/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.7983 (1.7412) Prec@1 54.375 (53.737) Prec@5 81.875 (82.949) Epoch: [64][10390/11272] Time 0.693 (0.775) Data 0.001 (0.002) Loss 1.5926 (1.7412) Prec@1 58.125 (53.737) Prec@5 85.625 (82.950) Epoch: [64][10400/11272] Time 0.747 (0.775) Data 0.001 (0.002) Loss 1.7247 (1.7412) Prec@1 52.500 (53.736) Prec@5 83.125 (82.952) Epoch: [64][10410/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.8412 (1.7412) Prec@1 52.500 (53.735) Prec@5 82.500 (82.951) Epoch: [64][10420/11272] Time 0.826 (0.775) Data 0.002 (0.002) Loss 1.9779 (1.7412) Prec@1 51.250 (53.736) Prec@5 79.375 (82.951) Epoch: [64][10430/11272] Time 0.699 (0.775) Data 0.001 (0.002) Loss 1.5141 (1.7412) Prec@1 62.500 (53.737) Prec@5 86.250 (82.951) Epoch: [64][10440/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6777 (1.7411) Prec@1 53.750 (53.738) Prec@5 87.500 (82.952) Epoch: [64][10450/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.7688 (1.7411) Prec@1 51.250 (53.740) Prec@5 79.375 (82.952) Epoch: [64][10460/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.8383 (1.7411) Prec@1 51.875 (53.740) Prec@5 82.500 (82.952) Epoch: [64][10470/11272] Time 0.698 (0.775) Data 0.001 (0.002) Loss 1.5780 (1.7411) Prec@1 60.000 (53.741) Prec@5 85.000 (82.953) Epoch: [64][10480/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.8746 (1.7411) Prec@1 48.750 (53.741) Prec@5 81.250 (82.953) Epoch: [64][10490/11272] Time 0.862 (0.775) Data 0.002 (0.002) Loss 1.7661 (1.7410) Prec@1 53.750 (53.740) Prec@5 81.250 (82.952) Epoch: [64][10500/11272] Time 0.751 (0.775) Data 0.002 (0.002) Loss 1.6800 (1.7410) Prec@1 56.250 (53.740) Prec@5 79.375 (82.952) Epoch: [64][10510/11272] Time 0.717 (0.775) Data 0.002 (0.002) Loss 1.7913 (1.7411) Prec@1 47.500 (53.738) Prec@5 84.375 (82.951) Epoch: [64][10520/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5427 (1.7410) Prec@1 58.125 (53.741) Prec@5 83.750 (82.952) Epoch: [64][10530/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.7593 (1.7410) Prec@1 52.500 (53.741) Prec@5 80.000 (82.952) Epoch: [64][10540/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.7240 (1.7410) Prec@1 57.500 (53.743) Prec@5 82.500 (82.953) Epoch: [64][10550/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.8801 (1.7409) Prec@1 50.625 (53.744) Prec@5 81.875 (82.954) Epoch: [64][10560/11272] Time 0.812 (0.775) Data 0.002 (0.002) Loss 1.7033 (1.7410) Prec@1 56.875 (53.743) Prec@5 83.750 (82.953) Epoch: [64][10570/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.8296 (1.7409) Prec@1 49.375 (53.744) Prec@5 82.500 (82.953) Epoch: [64][10580/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.5786 (1.7408) Prec@1 61.250 (53.744) Prec@5 83.750 (82.954) Epoch: [64][10590/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.7549 (1.7409) Prec@1 53.125 (53.744) Prec@5 80.625 (82.953) Epoch: [64][10600/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.7415 (1.7409) Prec@1 52.500 (53.743) Prec@5 81.250 (82.952) Epoch: [64][10610/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.7382 (1.7410) Prec@1 50.625 (53.741) Prec@5 81.250 (82.950) Epoch: [64][10620/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.8104 (1.7411) Prec@1 57.500 (53.739) Prec@5 77.500 (82.948) Epoch: [64][10630/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 2.0194 (1.7411) Prec@1 48.125 (53.739) Prec@5 78.125 (82.948) Epoch: [64][10640/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.7283 (1.7411) Prec@1 56.250 (53.739) Prec@5 82.500 (82.947) Epoch: [64][10650/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6715 (1.7411) Prec@1 55.625 (53.738) Prec@5 83.125 (82.946) Epoch: [64][10660/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.8925 (1.7412) Prec@1 46.875 (53.736) Prec@5 81.250 (82.946) Epoch: [64][10670/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.6248 (1.7412) Prec@1 56.250 (53.736) Prec@5 85.000 (82.946) Epoch: [64][10680/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.7833 (1.7412) Prec@1 50.625 (53.736) Prec@5 84.375 (82.945) Epoch: [64][10690/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.6605 (1.7413) Prec@1 58.750 (53.734) Prec@5 82.500 (82.944) Epoch: [64][10700/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.7213 (1.7413) Prec@1 53.750 (53.736) Prec@5 82.500 (82.944) Epoch: [64][10710/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.6336 (1.7412) Prec@1 53.750 (53.736) Prec@5 83.750 (82.946) Epoch: [64][10720/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.5137 (1.7412) Prec@1 64.375 (53.739) Prec@5 88.125 (82.947) Epoch: [64][10730/11272] Time 0.693 (0.775) Data 0.001 (0.002) Loss 1.5718 (1.7411) Prec@1 60.000 (53.741) Prec@5 84.375 (82.947) Epoch: [64][10740/11272] Time 0.797 (0.775) Data 0.002 (0.002) Loss 1.7782 (1.7411) Prec@1 48.750 (53.742) Prec@5 85.625 (82.948) Epoch: [64][10750/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 2.0108 (1.7411) Prec@1 48.125 (53.743) Prec@5 77.500 (82.947) Epoch: [64][10760/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.7347 (1.7410) Prec@1 57.500 (53.745) Prec@5 81.250 (82.949) Epoch: [64][10770/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.7354 (1.7410) Prec@1 50.625 (53.743) Prec@5 80.000 (82.948) Epoch: [64][10780/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.7964 (1.7410) Prec@1 52.500 (53.744) Prec@5 76.875 (82.948) Epoch: [64][10790/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.8538 (1.7411) Prec@1 50.625 (53.742) Prec@5 79.375 (82.947) Epoch: [64][10800/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.6793 (1.7411) Prec@1 48.125 (53.741) Prec@5 84.375 (82.947) Epoch: [64][10810/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.8724 (1.7410) Prec@1 47.500 (53.742) Prec@5 78.750 (82.947) Epoch: [64][10820/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.7118 (1.7410) Prec@1 56.250 (53.742) Prec@5 84.375 (82.948) Epoch: [64][10830/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.6879 (1.7410) Prec@1 57.500 (53.745) Prec@5 85.625 (82.949) Epoch: [64][10840/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7413 (1.7410) Prec@1 50.000 (53.744) Prec@5 82.500 (82.949) Epoch: [64][10850/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.7060 (1.7410) Prec@1 55.625 (53.744) Prec@5 79.375 (82.948) Epoch: [64][10860/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.5237 (1.7410) Prec@1 61.250 (53.746) Prec@5 85.625 (82.948) Epoch: [64][10870/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.9184 (1.7410) Prec@1 48.750 (53.745) Prec@5 82.500 (82.947) Epoch: [64][10880/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.7965 (1.7410) Prec@1 50.000 (53.745) Prec@5 80.625 (82.948) Epoch: [64][10890/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6833 (1.7410) Prec@1 54.375 (53.745) Prec@5 81.875 (82.948) Epoch: [64][10900/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.8839 (1.7410) Prec@1 52.500 (53.744) Prec@5 81.250 (82.947) Epoch: [64][10910/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.7792 (1.7410) Prec@1 53.750 (53.746) Prec@5 81.250 (82.947) Epoch: [64][10920/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.8478 (1.7410) Prec@1 48.125 (53.747) Prec@5 83.750 (82.947) Epoch: [64][10930/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.8112 (1.7410) Prec@1 53.125 (53.747) Prec@5 81.250 (82.947) Epoch: [64][10940/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7843 (1.7409) Prec@1 56.250 (53.748) Prec@5 80.625 (82.949) Epoch: [64][10950/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.6885 (1.7409) Prec@1 54.375 (53.748) Prec@5 83.125 (82.949) Epoch: [64][10960/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.9750 (1.7409) Prec@1 45.625 (53.748) Prec@5 81.875 (82.950) Epoch: [64][10970/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8144 (1.7409) Prec@1 54.375 (53.747) Prec@5 80.625 (82.949) Epoch: [64][10980/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.5972 (1.7408) Prec@1 55.625 (53.749) Prec@5 83.750 (82.950) Epoch: [64][10990/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 2.0039 (1.7408) Prec@1 52.500 (53.751) Prec@5 81.250 (82.951) Epoch: [64][11000/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.6311 (1.7408) Prec@1 55.625 (53.751) Prec@5 85.625 (82.951) Epoch: [64][11010/11272] Time 0.881 (0.775) Data 0.003 (0.002) Loss 1.6165 (1.7408) Prec@1 60.625 (53.751) Prec@5 85.000 (82.951) Epoch: [64][11020/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.8066 (1.7408) Prec@1 53.750 (53.751) Prec@5 81.250 (82.950) Epoch: [64][11030/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.7216 (1.7408) Prec@1 54.375 (53.750) Prec@5 83.125 (82.950) Epoch: [64][11040/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.6726 (1.7409) Prec@1 56.250 (53.749) Prec@5 84.375 (82.949) Epoch: [64][11050/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.5709 (1.7408) Prec@1 56.875 (53.749) Prec@5 87.500 (82.950) Epoch: [64][11060/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7861 (1.7408) Prec@1 51.250 (53.749) Prec@5 85.000 (82.951) Epoch: [64][11070/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6227 (1.7408) Prec@1 56.250 (53.748) Prec@5 88.750 (82.952) Epoch: [64][11080/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.7926 (1.7408) Prec@1 50.000 (53.748) Prec@5 80.625 (82.951) Epoch: [64][11090/11272] Time 0.858 (0.775) Data 0.002 (0.002) Loss 1.8021 (1.7409) Prec@1 53.750 (53.746) Prec@5 84.375 (82.949) Epoch: [64][11100/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6912 (1.7409) Prec@1 53.125 (53.748) Prec@5 83.750 (82.950) Epoch: [64][11110/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.6771 (1.7409) Prec@1 55.000 (53.747) Prec@5 82.500 (82.948) Epoch: [64][11120/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.8324 (1.7409) Prec@1 53.125 (53.747) Prec@5 81.250 (82.949) Epoch: [64][11130/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.8663 (1.7409) Prec@1 52.500 (53.746) Prec@5 79.375 (82.948) Epoch: [64][11140/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7796 (1.7409) Prec@1 55.000 (53.748) Prec@5 80.625 (82.949) Epoch: [64][11150/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.7238 (1.7408) Prec@1 51.875 (53.750) Prec@5 87.500 (82.950) Epoch: [64][11160/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.8126 (1.7408) Prec@1 50.000 (53.751) Prec@5 83.125 (82.951) Epoch: [64][11170/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.7556 (1.7408) Prec@1 53.125 (53.750) Prec@5 85.625 (82.951) Epoch: [64][11180/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7053 (1.7408) Prec@1 53.750 (53.750) Prec@5 87.500 (82.950) Epoch: [64][11190/11272] Time 0.889 (0.775) Data 0.002 (0.002) Loss 1.8769 (1.7409) Prec@1 53.125 (53.750) Prec@5 79.375 (82.949) Epoch: [64][11200/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.9928 (1.7408) Prec@1 45.625 (53.749) Prec@5 78.750 (82.949) Epoch: [64][11210/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.9033 (1.7408) Prec@1 53.750 (53.751) Prec@5 79.375 (82.951) Epoch: [64][11220/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6924 (1.7408) Prec@1 56.250 (53.751) Prec@5 81.875 (82.951) Epoch: [64][11230/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.6432 (1.7408) Prec@1 60.625 (53.751) Prec@5 85.000 (82.951) Epoch: [64][11240/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.7353 (1.7408) Prec@1 55.625 (53.751) Prec@5 84.375 (82.950) Epoch: [64][11250/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.8101 (1.7408) Prec@1 51.875 (53.752) Prec@5 80.625 (82.951) Epoch: [64][11260/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.7917 (1.7408) Prec@1 50.000 (53.753) Prec@5 85.000 (82.952) Epoch: [64][11270/11272] Time 0.808 (0.775) Data 0.000 (0.002) Loss 1.7976 (1.7408) Prec@1 48.125 (53.752) Prec@5 81.875 (82.952) Test: [0/229] Time 2.670 (2.670) Loss 1.0964 (1.0964) Prec@1 64.375 (64.375) Prec@5 96.875 (96.875) Test: [10/229] Time 0.323 (0.630) Loss 1.0256 (1.5145) Prec@1 67.500 (58.466) Prec@5 96.250 (88.352) Test: [20/229] Time 0.811 (0.554) Loss 1.9573 (1.6001) Prec@1 51.875 (55.982) Prec@5 81.250 (87.232) Test: [30/229] Time 0.373 (0.514) Loss 1.9053 (1.5568) Prec@1 48.750 (57.944) Prec@5 86.875 (87.581) Test: [40/229] Time 0.681 (0.501) Loss 0.4185 (1.5552) Prec@1 90.625 (57.774) Prec@5 96.250 (87.317) Test: [50/229] Time 0.355 (0.487) Loss 2.3457 (1.6164) Prec@1 32.500 (56.262) Prec@5 78.750 (85.993) Test: [60/229] Time 0.661 (0.483) Loss 2.0217 (1.6113) Prec@1 41.875 (56.158) Prec@5 85.000 (86.158) Test: [70/229] Time 0.405 (0.476) Loss 1.2300 (1.6192) Prec@1 70.625 (55.977) Prec@5 85.625 (86.012) Test: [80/229] Time 0.572 (0.473) Loss 2.1413 (1.6340) Prec@1 33.750 (55.231) Prec@5 86.250 (86.019) Test: [90/229] Time 0.334 (0.469) Loss 1.1456 (1.6402) Prec@1 73.750 (55.192) Prec@5 88.750 (86.106) Test: [100/229] Time 0.560 (0.468) Loss 2.0995 (1.6322) Prec@1 46.875 (55.588) Prec@5 85.000 (86.182) Test: [110/229] Time 0.294 (0.464) Loss 1.3119 (1.6157) Prec@1 66.250 (55.878) Prec@5 86.875 (86.340) Test: [120/229] Time 0.642 (0.465) Loss 2.6334 (1.6335) Prec@1 33.750 (55.325) Prec@5 76.875 (86.111) Test: [130/229] Time 0.327 (0.463) Loss 1.1995 (1.6193) Prec@1 61.250 (55.635) Prec@5 92.500 (86.274) Test: [140/229] Time 0.794 (0.464) Loss 1.7619 (1.6318) Prec@1 54.375 (55.359) Prec@5 87.500 (86.179) Test: [150/229] Time 0.378 (0.462) Loss 1.0909 (1.6439) Prec@1 75.625 (55.021) Prec@5 86.875 (86.035) Test: [160/229] Time 0.710 (0.462) Loss 1.7001 (1.6480) Prec@1 58.750 (54.891) Prec@5 85.000 (85.982) Test: [170/229] Time 0.424 (0.461) Loss 1.6119 (1.6556) Prec@1 56.250 (54.645) Prec@5 88.750 (85.939) Test: [180/229] Time 0.626 (0.460) Loss 2.3222 (1.6627) Prec@1 35.000 (54.603) Prec@5 73.750 (85.756) Test: [190/229] Time 0.370 (0.459) Loss 1.2689 (1.6512) Prec@1 65.625 (54.974) Prec@5 93.125 (85.854) Test: [200/229] Time 0.599 (0.459) Loss 1.6919 (1.6437) Prec@1 52.500 (55.016) Prec@5 84.375 (86.017) Test: [210/229] Time 0.442 (0.459) Loss 1.0759 (1.6357) Prec@1 67.500 (55.273) Prec@5 93.750 (86.096) Test: [220/229] Time 0.758 (0.459) Loss 1.5447 (1.6272) Prec@1 60.625 (55.617) Prec@5 90.000 (86.126) * Prec@1 55.907 Prec@5 86.171 Epoch: [65][0/11272] Time 4.150 (4.150) Data 3.179 (3.179) Loss 1.4850 (1.4850) Prec@1 58.750 (58.750) Prec@5 86.250 (86.250) Epoch: [65][10/11272] Time 0.802 (1.071) Data 0.001 (0.290) Loss 2.0809 (1.7033) Prec@1 51.250 (56.364) Prec@5 76.875 (82.727) Epoch: [65][20/11272] Time 0.708 (0.917) Data 0.001 (0.153) Loss 1.8519 (1.7376) Prec@1 51.250 (54.851) Prec@5 81.250 (82.679) Epoch: [65][30/11272] Time 0.722 (0.866) Data 0.001 (0.104) Loss 1.8575 (1.7418) Prec@1 52.500 (54.556) Prec@5 80.000 (82.762) Epoch: [65][40/11272] Time 0.817 (0.847) Data 0.002 (0.079) Loss 1.7117 (1.7560) Prec@1 51.250 (54.223) Prec@5 80.625 (82.454) Epoch: [65][50/11272] Time 0.802 (0.834) Data 0.001 (0.064) Loss 1.7042 (1.7503) Prec@1 54.375 (54.338) Prec@5 85.625 (82.426) Epoch: [65][60/11272] Time 0.719 (0.824) Data 0.001 (0.054) Loss 1.6785 (1.7486) Prec@1 56.250 (54.262) Prec@5 81.250 (82.520) Epoch: [65][70/11272] Time 0.828 (0.817) Data 0.001 (0.046) Loss 1.8487 (1.7407) Prec@1 43.750 (54.058) Prec@5 83.125 (82.694) Epoch: [65][80/11272] Time 0.802 (0.811) Data 0.001 (0.041) Loss 1.8202 (1.7302) Prec@1 51.875 (54.259) Prec@5 80.000 (82.816) Epoch: [65][90/11272] Time 0.694 (0.806) Data 0.001 (0.036) Loss 1.5921 (1.7295) Prec@1 55.000 (54.265) Prec@5 87.500 (82.871) Epoch: [65][100/11272] Time 0.744 (0.803) Data 0.001 (0.033) Loss 1.7210 (1.7289) Prec@1 53.750 (54.264) Prec@5 83.125 (82.834) Epoch: [65][110/11272] Time 0.845 (0.800) Data 0.001 (0.030) Loss 1.9265 (1.7290) Prec@1 46.875 (54.178) Prec@5 81.250 (82.956) Epoch: [65][120/11272] Time 0.816 (0.797) Data 0.001 (0.028) Loss 1.5219 (1.7283) Prec@1 58.750 (54.112) Prec@5 88.125 (83.053) Epoch: [65][130/11272] Time 0.720 (0.795) Data 0.001 (0.026) Loss 1.8720 (1.7237) Prec@1 51.875 (54.198) Prec@5 80.000 (83.120) Epoch: [65][140/11272] Time 0.748 (0.794) Data 0.001 (0.024) Loss 1.8585 (1.7254) Prec@1 49.375 (53.994) Prec@5 85.000 (83.143) Epoch: [65][150/11272] Time 0.823 (0.792) Data 0.001 (0.022) Loss 1.7701 (1.7256) Prec@1 56.250 (54.073) Prec@5 80.625 (83.137) Epoch: [65][160/11272] Time 0.841 (0.791) Data 0.001 (0.021) Loss 1.6709 (1.7242) Prec@1 51.250 (54.045) Prec@5 85.625 (83.168) Epoch: [65][170/11272] Time 0.723 (0.790) Data 0.002 (0.020) Loss 1.6254 (1.7212) Prec@1 55.625 (53.980) Prec@5 83.750 (83.282) Epoch: [65][180/11272] Time 0.708 (0.789) Data 0.001 (0.019) Loss 1.7262 (1.7199) Prec@1 55.000 (54.095) Prec@5 85.625 (83.315) Epoch: [65][190/11272] Time 0.845 (0.789) Data 0.002 (0.018) Loss 1.8451 (1.7168) Prec@1 48.750 (54.120) Prec@5 84.375 (83.328) Epoch: [65][200/11272] Time 0.704 (0.787) Data 0.003 (0.017) Loss 1.7039 (1.7165) Prec@1 54.375 (54.108) Prec@5 85.000 (83.299) Epoch: [65][210/11272] Time 0.721 (0.786) Data 0.001 (0.016) Loss 1.9710 (1.7169) Prec@1 47.500 (54.168) Prec@5 76.250 (83.288) Epoch: [65][220/11272] Time 0.810 (0.785) Data 0.001 (0.016) Loss 1.4664 (1.7153) Prec@1 57.500 (54.253) Prec@5 85.625 (83.281) Epoch: [65][230/11272] Time 0.821 (0.785) Data 0.001 (0.015) Loss 1.3807 (1.7119) Prec@1 58.750 (54.302) Prec@5 90.625 (83.339) Epoch: [65][240/11272] Time 0.728 (0.784) Data 0.001 (0.015) Loss 1.6699 (1.7145) Prec@1 53.125 (54.232) Prec@5 84.375 (83.314) Epoch: [65][250/11272] Time 0.734 (0.783) Data 0.001 (0.014) Loss 1.9209 (1.7190) Prec@1 47.500 (54.101) Prec@5 78.750 (83.259) Epoch: [65][260/11272] Time 0.829 (0.784) Data 0.001 (0.014) Loss 1.7645 (1.7206) Prec@1 50.000 (54.078) Prec@5 80.000 (83.221) Epoch: [65][270/11272] Time 0.836 (0.784) Data 0.001 (0.013) Loss 1.6451 (1.7187) Prec@1 54.375 (54.117) Prec@5 85.000 (83.273) Epoch: [65][280/11272] Time 0.721 (0.784) Data 0.001 (0.013) Loss 1.9625 (1.7215) Prec@1 51.875 (54.070) Prec@5 76.250 (83.214) Epoch: [65][290/11272] Time 0.722 (0.783) Data 0.001 (0.012) Loss 1.6882 (1.7236) Prec@1 56.250 (54.057) Prec@5 83.750 (83.177) Epoch: [65][300/11272] Time 0.822 (0.783) Data 0.001 (0.012) Loss 1.6656 (1.7233) Prec@1 52.500 (54.055) Prec@5 81.875 (83.183) Epoch: [65][310/11272] Time 0.819 (0.782) Data 0.001 (0.012) Loss 1.8097 (1.7208) Prec@1 48.750 (54.120) Prec@5 82.500 (83.244) Epoch: [65][320/11272] Time 0.706 (0.782) Data 0.001 (0.011) Loss 1.7783 (1.7210) Prec@1 52.500 (54.065) Prec@5 78.750 (83.238) Epoch: [65][330/11272] Time 0.810 (0.782) Data 0.001 (0.011) Loss 1.7384 (1.7215) Prec@1 53.750 (54.092) Prec@5 81.875 (83.235) Epoch: [65][340/11272] Time 0.817 (0.781) Data 0.001 (0.011) Loss 1.7602 (1.7223) Prec@1 60.000 (54.106) Prec@5 82.500 (83.240) Epoch: [65][350/11272] Time 0.750 (0.781) Data 0.001 (0.010) Loss 1.8837 (1.7221) Prec@1 50.625 (54.108) Prec@5 82.500 (83.251) Epoch: [65][360/11272] Time 0.710 (0.781) Data 0.001 (0.010) Loss 1.8424 (1.7219) Prec@1 51.250 (54.120) Prec@5 78.750 (83.220) Epoch: [65][370/11272] Time 0.811 (0.781) Data 0.001 (0.010) Loss 1.7033 (1.7237) Prec@1 53.750 (54.082) Prec@5 82.500 (83.176) Epoch: [65][380/11272] Time 0.823 (0.781) Data 0.001 (0.010) Loss 1.7081 (1.7219) Prec@1 51.250 (54.134) Prec@5 85.625 (83.217) Epoch: [65][390/11272] Time 0.708 (0.781) Data 0.001 (0.010) Loss 1.5208 (1.7204) Prec@1 64.375 (54.170) Prec@5 86.250 (83.232) Epoch: [65][400/11272] Time 0.711 (0.781) Data 0.001 (0.009) Loss 1.7387 (1.7204) Prec@1 53.125 (54.155) Prec@5 82.500 (83.226) Epoch: [65][410/11272] Time 0.816 (0.780) Data 0.001 (0.009) Loss 1.4874 (1.7195) Prec@1 63.125 (54.189) Prec@5 85.000 (83.248) Epoch: [65][420/11272] Time 0.804 (0.780) Data 0.001 (0.009) Loss 1.7811 (1.7185) Prec@1 56.250 (54.213) Prec@5 83.125 (83.291) Epoch: [65][430/11272] Time 0.731 (0.780) Data 0.001 (0.009) Loss 2.0529 (1.7192) Prec@1 51.875 (54.191) Prec@5 75.000 (83.298) Epoch: [65][440/11272] Time 0.720 (0.780) Data 0.001 (0.009) Loss 1.8018 (1.7205) Prec@1 53.125 (54.148) Prec@5 79.375 (83.260) Epoch: [65][450/11272] Time 0.805 (0.780) Data 0.001 (0.008) Loss 1.6311 (1.7209) Prec@1 55.625 (54.135) Prec@5 88.750 (83.257) Epoch: [65][460/11272] Time 0.824 (0.780) Data 0.001 (0.008) Loss 1.7185 (1.7205) Prec@1 56.250 (54.140) Prec@5 82.500 (83.262) Epoch: [65][470/11272] Time 0.711 (0.780) Data 0.001 (0.008) Loss 1.6777 (1.7204) Prec@1 53.125 (54.139) Prec@5 81.875 (83.227) Epoch: [65][480/11272] Time 0.838 (0.780) Data 0.002 (0.008) Loss 1.6310 (1.7192) Prec@1 55.625 (54.150) Prec@5 84.375 (83.252) Epoch: [65][490/11272] Time 0.805 (0.780) Data 0.001 (0.008) Loss 1.5019 (1.7200) Prec@1 60.625 (54.108) Prec@5 87.500 (83.240) Epoch: [65][500/11272] Time 0.727 (0.780) Data 0.001 (0.008) Loss 1.6454 (1.7199) Prec@1 56.875 (54.128) Prec@5 82.500 (83.235) Epoch: [65][510/11272] Time 0.708 (0.779) Data 0.001 (0.008) Loss 1.4368 (1.7192) Prec@1 60.000 (54.146) Prec@5 89.375 (83.277) Epoch: [65][520/11272] Time 0.796 (0.780) Data 0.001 (0.008) Loss 1.6207 (1.7204) Prec@1 55.625 (54.110) Prec@5 85.625 (83.267) Epoch: [65][530/11272] Time 0.794 (0.779) Data 0.001 (0.007) Loss 1.8750 (1.7200) Prec@1 50.000 (54.095) Prec@5 79.375 (83.269) Epoch: [65][540/11272] Time 0.702 (0.779) Data 0.001 (0.007) Loss 1.7193 (1.7206) Prec@1 56.875 (54.102) Prec@5 83.750 (83.256) Epoch: [65][550/11272] Time 0.713 (0.779) Data 0.001 (0.007) Loss 1.6265 (1.7202) Prec@1 51.875 (54.096) Prec@5 86.875 (83.274) Epoch: [65][560/11272] Time 0.825 (0.779) Data 0.001 (0.007) Loss 1.9829 (1.7218) Prec@1 49.375 (54.068) Prec@5 78.750 (83.240) Epoch: [65][570/11272] Time 0.809 (0.779) Data 0.001 (0.007) Loss 1.6021 (1.7221) Prec@1 62.500 (54.078) Prec@5 82.500 (83.230) Epoch: [65][580/11272] Time 0.711 (0.779) Data 0.001 (0.007) Loss 1.7172 (1.7213) Prec@1 51.875 (54.064) Prec@5 85.625 (83.258) Epoch: [65][590/11272] Time 0.723 (0.778) Data 0.001 (0.007) Loss 1.6151 (1.7214) Prec@1 56.250 (54.078) Prec@5 85.000 (83.248) Epoch: [65][600/11272] Time 0.803 (0.778) Data 0.001 (0.007) Loss 1.9377 (1.7212) Prec@1 49.375 (54.087) Prec@5 80.625 (83.247) Epoch: [65][610/11272] Time 0.740 (0.778) Data 0.001 (0.007) Loss 1.5154 (1.7215) Prec@1 58.750 (54.080) Prec@5 88.750 (83.258) Epoch: [65][620/11272] Time 0.714 (0.778) Data 0.001 (0.007) Loss 1.6746 (1.7214) Prec@1 53.750 (54.072) Prec@5 86.875 (83.267) Epoch: [65][630/11272] Time 0.848 (0.778) Data 0.001 (0.006) Loss 1.8734 (1.7219) Prec@1 51.875 (54.058) Prec@5 83.125 (83.260) Epoch: [65][640/11272] Time 0.785 (0.778) Data 0.002 (0.006) Loss 1.8781 (1.7219) Prec@1 51.250 (54.022) Prec@5 78.750 (83.267) Epoch: [65][650/11272] Time 0.737 (0.778) Data 0.002 (0.006) Loss 1.8185 (1.7225) Prec@1 48.125 (53.998) Prec@5 81.875 (83.264) Epoch: [65][660/11272] Time 0.716 (0.778) Data 0.002 (0.006) Loss 1.6483 (1.7221) Prec@1 53.125 (53.989) Prec@5 84.375 (83.267) Epoch: [65][670/11272] Time 0.848 (0.778) Data 0.001 (0.006) Loss 1.5776 (1.7219) Prec@1 54.375 (53.966) Prec@5 86.250 (83.283) Epoch: [65][680/11272] Time 0.840 (0.778) Data 0.001 (0.006) Loss 1.8171 (1.7220) Prec@1 46.250 (53.954) Prec@5 83.125 (83.286) Epoch: [65][690/11272] Time 0.702 (0.778) Data 0.001 (0.006) Loss 1.5901 (1.7226) Prec@1 57.500 (53.955) Prec@5 86.250 (83.279) Epoch: [65][700/11272] Time 0.739 (0.778) Data 0.001 (0.006) Loss 1.7129 (1.7232) Prec@1 56.875 (53.935) Prec@5 84.375 (83.285) Epoch: [65][710/11272] Time 0.848 (0.778) Data 0.002 (0.006) Loss 1.8340 (1.7223) Prec@1 53.125 (53.958) Prec@5 80.625 (83.296) Epoch: [65][720/11272] Time 0.797 (0.778) Data 0.001 (0.006) Loss 1.7412 (1.7222) Prec@1 56.250 (53.960) Prec@5 81.250 (83.297) Epoch: [65][730/11272] Time 0.735 (0.778) Data 0.001 (0.006) Loss 1.8851 (1.7216) Prec@1 51.875 (53.974) Prec@5 78.125 (83.317) Epoch: [65][740/11272] Time 0.792 (0.778) Data 0.001 (0.006) Loss 1.6866 (1.7213) Prec@1 57.500 (53.984) Prec@5 81.250 (83.312) Epoch: [65][750/11272] Time 0.811 (0.778) Data 0.001 (0.006) Loss 1.7939 (1.7213) Prec@1 53.125 (53.980) Prec@5 82.500 (83.324) Epoch: [65][760/11272] Time 0.704 (0.777) Data 0.001 (0.006) Loss 1.6469 (1.7209) Prec@1 57.500 (54.005) Prec@5 82.500 (83.325) Epoch: [65][770/11272] Time 0.714 (0.777) Data 0.001 (0.006) Loss 1.8069 (1.7211) Prec@1 55.625 (53.986) Prec@5 79.375 (83.315) Epoch: [65][780/11272] Time 0.876 (0.777) Data 0.001 (0.005) Loss 1.8037 (1.7206) Prec@1 51.250 (53.996) Prec@5 82.500 (83.329) Epoch: [65][790/11272] Time 0.817 (0.777) Data 0.001 (0.005) Loss 1.6436 (1.7206) Prec@1 49.375 (53.997) Prec@5 85.625 (83.323) Epoch: [65][800/11272] Time 0.707 (0.777) Data 0.001 (0.005) Loss 1.7636 (1.7200) Prec@1 51.875 (54.011) Prec@5 82.500 (83.320) Epoch: [65][810/11272] Time 0.747 (0.777) Data 0.001 (0.005) Loss 1.5547 (1.7194) Prec@1 56.250 (54.035) Prec@5 88.125 (83.332) Epoch: [65][820/11272] Time 0.818 (0.777) Data 0.001 (0.005) Loss 1.8479 (1.7197) Prec@1 51.875 (54.044) Prec@5 82.500 (83.327) Epoch: [65][830/11272] Time 0.864 (0.777) Data 0.001 (0.005) Loss 1.4934 (1.7189) Prec@1 59.375 (54.069) Prec@5 88.125 (83.342) Epoch: [65][840/11272] Time 0.706 (0.777) Data 0.001 (0.005) Loss 1.7647 (1.7182) Prec@1 55.000 (54.093) Prec@5 80.625 (83.352) Epoch: [65][850/11272] Time 0.701 (0.777) Data 0.001 (0.005) Loss 1.6706 (1.7182) Prec@1 53.750 (54.096) Prec@5 85.625 (83.345) Epoch: [65][860/11272] Time 0.840 (0.777) Data 0.001 (0.005) Loss 1.6829 (1.7186) Prec@1 57.500 (54.106) Prec@5 88.750 (83.341) Epoch: [65][870/11272] Time 0.708 (0.777) Data 0.003 (0.005) Loss 1.6515 (1.7183) Prec@1 53.750 (54.116) Prec@5 83.125 (83.331) Epoch: [65][880/11272] Time 0.706 (0.777) Data 0.001 (0.005) Loss 1.8834 (1.7184) Prec@1 51.250 (54.113) Prec@5 80.000 (83.329) Epoch: [65][890/11272] Time 0.815 (0.777) Data 0.001 (0.005) Loss 1.7317 (1.7183) Prec@1 49.375 (54.113) Prec@5 88.750 (83.345) Epoch: [65][900/11272] Time 0.833 (0.777) Data 0.002 (0.005) Loss 1.6692 (1.7177) Prec@1 55.000 (54.120) Prec@5 86.875 (83.354) Epoch: [65][910/11272] Time 0.736 (0.777) Data 0.001 (0.005) Loss 1.8650 (1.7179) Prec@1 56.875 (54.140) Prec@5 81.875 (83.349) Epoch: [65][920/11272] Time 0.707 (0.777) Data 0.001 (0.005) Loss 1.6310 (1.7178) Prec@1 57.500 (54.156) Prec@5 85.000 (83.350) Epoch: [65][930/11272] Time 0.812 (0.777) Data 0.001 (0.005) Loss 1.5863 (1.7182) Prec@1 55.625 (54.150) Prec@5 87.500 (83.342) Epoch: [65][940/11272] Time 0.824 (0.777) Data 0.001 (0.005) Loss 1.7852 (1.7184) Prec@1 52.500 (54.147) Prec@5 83.750 (83.341) Epoch: [65][950/11272] Time 0.738 (0.777) Data 0.001 (0.005) Loss 1.7894 (1.7185) Prec@1 55.000 (54.148) Prec@5 82.500 (83.337) Epoch: [65][960/11272] Time 0.742 (0.777) Data 0.002 (0.005) Loss 1.6698 (1.7187) Prec@1 55.625 (54.156) Prec@5 83.125 (83.335) Epoch: [65][970/11272] Time 0.859 (0.777) Data 0.002 (0.005) Loss 1.8207 (1.7185) Prec@1 53.125 (54.175) Prec@5 80.625 (83.341) Epoch: [65][980/11272] Time 0.843 (0.777) Data 0.002 (0.005) Loss 1.6737 (1.7190) Prec@1 55.625 (54.162) Prec@5 83.750 (83.328) Epoch: [65][990/11272] Time 0.723 (0.777) Data 0.002 (0.005) Loss 1.7981 (1.7191) Prec@1 48.750 (54.157) Prec@5 83.750 (83.328) Epoch: [65][1000/11272] Time 0.811 (0.777) Data 0.001 (0.005) Loss 1.7007 (1.7192) Prec@1 52.500 (54.139) Prec@5 82.500 (83.319) Epoch: [65][1010/11272] Time 0.821 (0.777) Data 0.001 (0.005) Loss 1.8795 (1.7190) Prec@1 52.500 (54.139) Prec@5 82.500 (83.328) Epoch: [65][1020/11272] Time 0.707 (0.777) Data 0.001 (0.005) Loss 1.7766 (1.7190) Prec@1 53.125 (54.140) Prec@5 83.750 (83.323) Epoch: [65][1030/11272] Time 0.711 (0.777) Data 0.001 (0.004) Loss 1.9803 (1.7187) Prec@1 48.750 (54.146) Prec@5 78.750 (83.327) Epoch: [65][1040/11272] Time 0.840 (0.777) Data 0.001 (0.004) Loss 1.6887 (1.7184) Prec@1 58.125 (54.156) Prec@5 83.750 (83.328) Epoch: [65][1050/11272] Time 0.806 (0.777) Data 0.001 (0.004) Loss 1.5140 (1.7178) Prec@1 55.625 (54.164) Prec@5 90.000 (83.340) Epoch: [65][1060/11272] Time 0.693 (0.776) Data 0.001 (0.004) Loss 1.5402 (1.7172) Prec@1 53.750 (54.174) Prec@5 85.625 (83.348) Epoch: [65][1070/11272] Time 0.722 (0.776) Data 0.001 (0.004) Loss 1.6485 (1.7169) Prec@1 53.125 (54.177) Prec@5 85.625 (83.356) Epoch: [65][1080/11272] Time 0.864 (0.776) Data 0.002 (0.004) Loss 1.6570 (1.7173) Prec@1 56.250 (54.177) Prec@5 85.625 (83.354) Epoch: [65][1090/11272] Time 0.818 (0.776) Data 0.001 (0.004) Loss 1.6954 (1.7175) Prec@1 55.625 (54.172) Prec@5 85.000 (83.354) Epoch: [65][1100/11272] Time 0.699 (0.776) Data 0.001 (0.004) Loss 1.9380 (1.7183) Prec@1 48.125 (54.152) Prec@5 77.500 (83.337) Epoch: [65][1110/11272] Time 0.707 (0.776) Data 0.001 (0.004) Loss 1.4784 (1.7181) Prec@1 55.000 (54.149) Prec@5 88.750 (83.336) Epoch: [65][1120/11272] Time 0.813 (0.776) Data 0.001 (0.004) Loss 2.0022 (1.7184) Prec@1 43.125 (54.140) Prec@5 76.250 (83.329) Epoch: [65][1130/11272] Time 0.747 (0.776) Data 0.003 (0.004) Loss 1.8571 (1.7185) Prec@1 49.375 (54.139) Prec@5 80.625 (83.326) Epoch: [65][1140/11272] Time 0.713 (0.776) Data 0.001 (0.004) Loss 1.8759 (1.7190) Prec@1 47.500 (54.125) Prec@5 83.125 (83.322) Epoch: [65][1150/11272] Time 0.785 (0.776) Data 0.001 (0.004) Loss 1.7573 (1.7189) Prec@1 51.250 (54.120) Prec@5 84.375 (83.332) Epoch: [65][1160/11272] Time 0.852 (0.776) Data 0.001 (0.004) Loss 1.9298 (1.7193) Prec@1 51.875 (54.117) Prec@5 77.500 (83.328) Epoch: [65][1170/11272] Time 0.719 (0.776) Data 0.001 (0.004) Loss 1.3587 (1.7188) Prec@1 62.500 (54.129) Prec@5 90.000 (83.347) Epoch: [65][1180/11272] Time 0.710 (0.776) Data 0.002 (0.004) Loss 1.7889 (1.7186) Prec@1 53.125 (54.134) Prec@5 82.500 (83.349) Epoch: [65][1190/11272] Time 0.817 (0.776) Data 0.001 (0.004) Loss 1.6676 (1.7184) Prec@1 52.500 (54.139) Prec@5 83.125 (83.349) Epoch: [65][1200/11272] Time 0.805 (0.776) Data 0.001 (0.004) Loss 1.5238 (1.7176) Prec@1 56.875 (54.160) Prec@5 88.750 (83.363) Epoch: [65][1210/11272] Time 0.731 (0.776) Data 0.001 (0.004) Loss 1.8299 (1.7170) Prec@1 50.000 (54.174) Prec@5 81.875 (83.378) Epoch: [65][1220/11272] Time 0.707 (0.776) Data 0.001 (0.004) Loss 1.5825 (1.7172) Prec@1 60.000 (54.168) Prec@5 83.750 (83.373) Epoch: [65][1230/11272] Time 0.828 (0.776) Data 0.001 (0.004) Loss 1.7372 (1.7177) Prec@1 55.000 (54.161) Prec@5 84.375 (83.363) Epoch: [65][1240/11272] Time 0.806 (0.776) Data 0.001 (0.004) Loss 1.7310 (1.7175) Prec@1 55.000 (54.170) Prec@5 81.250 (83.364) Epoch: [65][1250/11272] Time 0.715 (0.776) Data 0.001 (0.004) Loss 1.8477 (1.7178) Prec@1 53.125 (54.164) Prec@5 81.875 (83.358) Epoch: [65][1260/11272] Time 0.819 (0.776) Data 0.001 (0.004) Loss 1.6191 (1.7179) Prec@1 56.250 (54.156) Prec@5 83.125 (83.356) Epoch: [65][1270/11272] Time 0.820 (0.776) Data 0.002 (0.004) Loss 1.6712 (1.7181) Prec@1 54.375 (54.138) Prec@5 86.250 (83.359) Epoch: [65][1280/11272] Time 0.714 (0.776) Data 0.001 (0.004) Loss 1.4737 (1.7183) Prec@1 57.500 (54.141) Prec@5 90.000 (83.352) Epoch: [65][1290/11272] Time 0.750 (0.776) Data 0.001 (0.004) Loss 1.5357 (1.7188) Prec@1 55.000 (54.132) Prec@5 86.875 (83.344) Epoch: [65][1300/11272] Time 0.810 (0.776) Data 0.001 (0.004) Loss 1.8662 (1.7192) Prec@1 55.000 (54.134) Prec@5 80.625 (83.334) Epoch: [65][1310/11272] Time 0.845 (0.776) Data 0.001 (0.004) Loss 1.8018 (1.7191) Prec@1 51.250 (54.134) Prec@5 80.625 (83.340) Epoch: [65][1320/11272] Time 0.722 (0.776) Data 0.001 (0.004) Loss 1.8000 (1.7193) Prec@1 58.125 (54.143) Prec@5 79.375 (83.331) Epoch: [65][1330/11272] Time 0.711 (0.776) Data 0.001 (0.004) Loss 1.6614 (1.7189) Prec@1 53.750 (54.145) Prec@5 82.500 (83.336) Epoch: [65][1340/11272] Time 0.824 (0.776) Data 0.001 (0.004) Loss 1.7623 (1.7189) Prec@1 53.750 (54.155) Prec@5 82.500 (83.344) Epoch: [65][1350/11272] Time 0.813 (0.776) Data 0.001 (0.004) Loss 1.8052 (1.7191) Prec@1 49.375 (54.139) Prec@5 86.250 (83.353) Epoch: [65][1360/11272] Time 0.712 (0.776) Data 0.001 (0.004) Loss 1.8251 (1.7195) Prec@1 48.750 (54.131) Prec@5 80.625 (83.353) Epoch: [65][1370/11272] Time 0.693 (0.776) Data 0.001 (0.004) Loss 1.5774 (1.7189) Prec@1 52.500 (54.137) Prec@5 86.250 (83.362) Epoch: [65][1380/11272] Time 0.810 (0.776) Data 0.001 (0.004) Loss 1.5505 (1.7188) Prec@1 60.000 (54.136) Prec@5 86.875 (83.368) Epoch: [65][1390/11272] Time 0.835 (0.776) Data 0.001 (0.004) Loss 1.7440 (1.7188) Prec@1 51.875 (54.129) Prec@5 83.125 (83.363) Epoch: [65][1400/11272] Time 0.728 (0.776) Data 0.001 (0.004) Loss 1.5071 (1.7194) Prec@1 60.000 (54.131) Prec@5 86.875 (83.351) Epoch: [65][1410/11272] Time 0.820 (0.776) Data 0.001 (0.004) Loss 1.6818 (1.7192) Prec@1 58.125 (54.131) Prec@5 85.000 (83.353) Epoch: [65][1420/11272] Time 0.837 (0.776) Data 0.002 (0.004) Loss 1.6180 (1.7192) Prec@1 58.750 (54.141) Prec@5 85.000 (83.353) Epoch: [65][1430/11272] Time 0.747 (0.776) Data 0.001 (0.004) Loss 1.6752 (1.7192) Prec@1 56.250 (54.143) Prec@5 82.500 (83.348) Epoch: [65][1440/11272] Time 0.715 (0.776) Data 0.001 (0.004) Loss 1.9414 (1.7197) Prec@1 46.875 (54.127) Prec@5 79.375 (83.342) Epoch: [65][1450/11272] Time 0.850 (0.776) Data 0.001 (0.004) Loss 1.7142 (1.7196) Prec@1 51.875 (54.134) Prec@5 83.750 (83.344) Epoch: [65][1460/11272] Time 0.804 (0.776) Data 0.001 (0.004) Loss 1.6544 (1.7194) Prec@1 52.500 (54.140) Prec@5 85.625 (83.347) Epoch: [65][1470/11272] Time 0.721 (0.776) Data 0.002 (0.004) Loss 1.6780 (1.7187) Prec@1 54.375 (54.152) Prec@5 81.250 (83.364) Epoch: [65][1480/11272] Time 0.723 (0.776) Data 0.001 (0.004) Loss 1.6726 (1.7184) Prec@1 56.250 (54.155) Prec@5 82.500 (83.360) Epoch: [65][1490/11272] Time 0.842 (0.776) Data 0.002 (0.004) Loss 1.5299 (1.7187) Prec@1 57.500 (54.157) Prec@5 88.125 (83.351) Epoch: [65][1500/11272] Time 0.837 (0.776) Data 0.001 (0.004) Loss 1.6190 (1.7187) Prec@1 51.875 (54.149) Prec@5 84.375 (83.345) Epoch: [65][1510/11272] Time 0.713 (0.776) Data 0.001 (0.004) Loss 1.4019 (1.7185) Prec@1 61.875 (54.156) Prec@5 88.125 (83.353) Epoch: [65][1520/11272] Time 0.738 (0.776) Data 0.001 (0.003) Loss 1.7329 (1.7184) Prec@1 55.000 (54.160) Prec@5 85.000 (83.352) Epoch: [65][1530/11272] Time 0.840 (0.776) Data 0.001 (0.003) Loss 2.1069 (1.7193) Prec@1 45.000 (54.142) Prec@5 75.625 (83.336) Epoch: [65][1540/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.3226 (1.7188) Prec@1 61.875 (54.156) Prec@5 88.750 (83.347) Epoch: [65][1550/11272] Time 0.805 (0.776) Data 0.002 (0.003) Loss 1.5145 (1.7185) Prec@1 55.000 (54.157) Prec@5 89.375 (83.351) Epoch: [65][1560/11272] Time 0.843 (0.776) Data 0.001 (0.003) Loss 1.7201 (1.7187) Prec@1 56.250 (54.150) Prec@5 83.750 (83.343) Epoch: [65][1570/11272] Time 0.790 (0.776) Data 0.001 (0.003) Loss 1.7178 (1.7191) Prec@1 55.625 (54.149) Prec@5 83.125 (83.337) Epoch: [65][1580/11272] Time 0.719 (0.776) Data 0.002 (0.003) Loss 1.8573 (1.7191) Prec@1 56.250 (54.152) Prec@5 81.250 (83.336) Epoch: [65][1590/11272] Time 0.724 (0.776) Data 0.002 (0.003) Loss 1.7393 (1.7192) Prec@1 48.750 (54.147) Prec@5 85.000 (83.334) Epoch: [65][1600/11272] Time 0.832 (0.776) Data 0.002 (0.003) Loss 1.5305 (1.7192) Prec@1 55.625 (54.147) Prec@5 86.875 (83.332) Epoch: [65][1610/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.8830 (1.7194) Prec@1 50.000 (54.146) Prec@5 80.000 (83.329) Epoch: [65][1620/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.5439 (1.7198) Prec@1 51.250 (54.129) Prec@5 88.750 (83.325) Epoch: [65][1630/11272] Time 0.705 (0.776) Data 0.001 (0.003) Loss 1.2622 (1.7194) Prec@1 63.750 (54.147) Prec@5 90.625 (83.335) Epoch: [65][1640/11272] Time 0.846 (0.776) Data 0.001 (0.003) Loss 1.5569 (1.7192) Prec@1 58.125 (54.157) Prec@5 89.375 (83.340) Epoch: [65][1650/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.5919 (1.7194) Prec@1 60.000 (54.160) Prec@5 84.375 (83.332) Epoch: [65][1660/11272] Time 0.721 (0.776) Data 0.001 (0.003) Loss 1.8527 (1.7197) Prec@1 50.625 (54.147) Prec@5 84.375 (83.332) Epoch: [65][1670/11272] Time 0.776 (0.776) Data 0.001 (0.003) Loss 1.7778 (1.7196) Prec@1 50.625 (54.154) Prec@5 80.000 (83.339) Epoch: [65][1680/11272] Time 0.840 (0.776) Data 0.001 (0.003) Loss 1.7523 (1.7196) Prec@1 51.875 (54.147) Prec@5 82.500 (83.346) Epoch: [65][1690/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.6579 (1.7198) Prec@1 50.000 (54.137) Prec@5 85.000 (83.338) Epoch: [65][1700/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.6579 (1.7201) Prec@1 55.000 (54.130) Prec@5 81.250 (83.338) Epoch: [65][1710/11272] Time 0.863 (0.776) Data 0.001 (0.003) Loss 1.8807 (1.7201) Prec@1 54.375 (54.128) Prec@5 80.625 (83.345) Epoch: [65][1720/11272] Time 0.828 (0.776) Data 0.001 (0.003) Loss 1.6796 (1.7198) Prec@1 55.000 (54.137) Prec@5 84.375 (83.352) Epoch: [65][1730/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.9709 (1.7201) Prec@1 47.500 (54.127) Prec@5 76.875 (83.351) Epoch: [65][1740/11272] Time 0.767 (0.775) Data 0.001 (0.003) Loss 1.7373 (1.7204) Prec@1 50.000 (54.120) Prec@5 83.750 (83.342) Epoch: [65][1750/11272] Time 0.806 (0.775) Data 0.001 (0.003) Loss 1.8387 (1.7210) Prec@1 52.500 (54.111) Prec@5 82.500 (83.332) Epoch: [65][1760/11272] Time 0.857 (0.776) Data 0.003 (0.003) Loss 1.6322 (1.7212) Prec@1 54.375 (54.098) Prec@5 88.125 (83.331) Epoch: [65][1770/11272] Time 0.704 (0.775) Data 0.001 (0.003) Loss 1.8005 (1.7211) Prec@1 52.500 (54.106) Prec@5 82.500 (83.329) Epoch: [65][1780/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.7429 (1.7211) Prec@1 56.875 (54.110) Prec@5 80.625 (83.327) Epoch: [65][1790/11272] Time 0.800 (0.775) Data 0.001 (0.003) Loss 1.4449 (1.7210) Prec@1 57.500 (54.108) Prec@5 90.000 (83.325) Epoch: [65][1800/11272] Time 0.725 (0.775) Data 0.003 (0.003) Loss 1.5896 (1.7207) Prec@1 55.625 (54.116) Prec@5 86.250 (83.329) Epoch: [65][1810/11272] Time 0.736 (0.775) Data 0.001 (0.003) Loss 1.5872 (1.7206) Prec@1 57.500 (54.115) Prec@5 86.250 (83.334) Epoch: [65][1820/11272] Time 0.805 (0.776) Data 0.001 (0.003) Loss 1.6684 (1.7209) Prec@1 50.625 (54.109) Prec@5 81.875 (83.320) Epoch: [65][1830/11272] Time 0.860 (0.776) Data 0.002 (0.003) Loss 1.7319 (1.7211) Prec@1 55.000 (54.114) Prec@5 85.000 (83.314) Epoch: [65][1840/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.9016 (1.7208) Prec@1 48.125 (54.133) Prec@5 76.875 (83.315) Epoch: [65][1850/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.6221 (1.7205) Prec@1 55.625 (54.144) Prec@5 85.625 (83.324) Epoch: [65][1860/11272] Time 0.886 (0.776) Data 0.001 (0.003) Loss 1.7831 (1.7202) Prec@1 53.750 (54.145) Prec@5 83.125 (83.332) Epoch: [65][1870/11272] Time 0.879 (0.776) Data 0.002 (0.003) Loss 1.4880 (1.7200) Prec@1 60.000 (54.152) Prec@5 85.000 (83.330) Epoch: [65][1880/11272] Time 0.721 (0.776) Data 0.001 (0.003) Loss 1.4402 (1.7200) Prec@1 58.125 (54.148) Prec@5 88.125 (83.332) Epoch: [65][1890/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.7631 (1.7200) Prec@1 54.375 (54.146) Prec@5 77.500 (83.332) Epoch: [65][1900/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.7385 (1.7202) Prec@1 56.250 (54.145) Prec@5 81.875 (83.328) Epoch: [65][1910/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.7951 (1.7203) Prec@1 52.500 (54.135) Prec@5 81.250 (83.330) Epoch: [65][1920/11272] Time 0.749 (0.776) Data 0.001 (0.003) Loss 1.8108 (1.7207) Prec@1 50.625 (54.132) Prec@5 83.750 (83.324) Epoch: [65][1930/11272] Time 0.823 (0.776) Data 0.002 (0.003) Loss 1.6700 (1.7210) Prec@1 56.875 (54.120) Prec@5 82.500 (83.320) Epoch: [65][1940/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.7713 (1.7210) Prec@1 55.000 (54.121) Prec@5 81.250 (83.317) Epoch: [65][1950/11272] Time 0.726 (0.776) Data 0.002 (0.003) Loss 1.4243 (1.7206) Prec@1 56.250 (54.128) Prec@5 88.125 (83.318) Epoch: [65][1960/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.8157 (1.7207) Prec@1 50.000 (54.130) Prec@5 85.000 (83.319) Epoch: [65][1970/11272] Time 0.838 (0.775) Data 0.002 (0.003) Loss 1.5694 (1.7205) Prec@1 49.375 (54.130) Prec@5 86.250 (83.321) Epoch: [65][1980/11272] Time 0.865 (0.776) Data 0.001 (0.003) Loss 1.6940 (1.7208) Prec@1 53.750 (54.125) Prec@5 85.000 (83.315) Epoch: [65][1990/11272] Time 0.741 (0.776) Data 0.001 (0.003) Loss 1.6359 (1.7209) Prec@1 56.250 (54.124) Prec@5 85.000 (83.311) Epoch: [65][2000/11272] Time 0.719 (0.775) Data 0.001 (0.003) Loss 1.6993 (1.7211) Prec@1 55.000 (54.122) Prec@5 83.750 (83.310) Epoch: [65][2010/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 2.1163 (1.7213) Prec@1 46.250 (54.126) Prec@5 75.625 (83.307) Epoch: [65][2020/11272] Time 0.820 (0.775) Data 0.001 (0.003) Loss 1.4716 (1.7212) Prec@1 59.375 (54.130) Prec@5 87.500 (83.306) Epoch: [65][2030/11272] Time 0.754 (0.775) Data 0.002 (0.003) Loss 1.4251 (1.7213) Prec@1 63.750 (54.131) Prec@5 90.000 (83.306) Epoch: [65][2040/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 2.0102 (1.7213) Prec@1 47.500 (54.132) Prec@5 80.625 (83.309) Epoch: [65][2050/11272] Time 0.868 (0.776) Data 0.002 (0.003) Loss 1.5908 (1.7213) Prec@1 60.000 (54.121) Prec@5 83.750 (83.311) Epoch: [65][2060/11272] Time 0.704 (0.775) Data 0.003 (0.003) Loss 1.7860 (1.7209) Prec@1 54.375 (54.131) Prec@5 80.625 (83.321) Epoch: [65][2070/11272] Time 0.762 (0.775) Data 0.002 (0.003) Loss 1.8429 (1.7209) Prec@1 54.375 (54.131) Prec@5 85.625 (83.323) Epoch: [65][2080/11272] Time 0.831 (0.775) Data 0.001 (0.003) Loss 1.6206 (1.7210) Prec@1 58.125 (54.133) Prec@5 85.000 (83.317) Epoch: [65][2090/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.5695 (1.7209) Prec@1 60.000 (54.140) Prec@5 83.750 (83.319) Epoch: [65][2100/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.5063 (1.7206) Prec@1 60.000 (54.145) Prec@5 85.625 (83.321) Epoch: [65][2110/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.8311 (1.7206) Prec@1 52.500 (54.145) Prec@5 78.125 (83.320) Epoch: [65][2120/11272] Time 0.880 (0.776) Data 0.002 (0.003) Loss 1.6240 (1.7203) Prec@1 51.875 (54.147) Prec@5 88.750 (83.326) Epoch: [65][2130/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.5360 (1.7201) Prec@1 58.125 (54.147) Prec@5 87.500 (83.329) Epoch: [65][2140/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.8734 (1.7203) Prec@1 51.250 (54.146) Prec@5 80.625 (83.323) Epoch: [65][2150/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.7774 (1.7203) Prec@1 51.250 (54.143) Prec@5 83.750 (83.328) Epoch: [65][2160/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.7816 (1.7203) Prec@1 53.750 (54.144) Prec@5 79.375 (83.326) Epoch: [65][2170/11272] Time 0.820 (0.775) Data 0.002 (0.003) Loss 1.6684 (1.7204) Prec@1 54.375 (54.148) Prec@5 81.875 (83.325) Epoch: [65][2180/11272] Time 0.730 (0.775) Data 0.001 (0.003) Loss 1.8223 (1.7202) Prec@1 50.000 (54.150) Prec@5 81.250 (83.331) Epoch: [65][2190/11272] Time 0.800 (0.775) Data 0.001 (0.003) Loss 1.6322 (1.7198) Prec@1 53.750 (54.163) Prec@5 85.625 (83.332) Epoch: [65][2200/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.7960 (1.7197) Prec@1 53.125 (54.164) Prec@5 80.625 (83.337) Epoch: [65][2210/11272] Time 0.726 (0.775) Data 0.001 (0.003) Loss 1.9592 (1.7196) Prec@1 48.750 (54.164) Prec@5 80.625 (83.336) Epoch: [65][2220/11272] Time 0.724 (0.775) Data 0.002 (0.003) Loss 1.8174 (1.7199) Prec@1 49.375 (54.154) Prec@5 84.375 (83.331) Epoch: [65][2230/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.6567 (1.7200) Prec@1 53.125 (54.150) Prec@5 87.500 (83.329) Epoch: [65][2240/11272] Time 0.843 (0.775) Data 0.001 (0.003) Loss 1.7994 (1.7198) Prec@1 56.250 (54.158) Prec@5 80.625 (83.328) Epoch: [65][2250/11272] Time 0.719 (0.775) Data 0.001 (0.003) Loss 1.6811 (1.7200) Prec@1 58.750 (54.158) Prec@5 83.750 (83.327) Epoch: [65][2260/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.8357 (1.7197) Prec@1 50.625 (54.171) Prec@5 79.375 (83.328) Epoch: [65][2270/11272] Time 0.870 (0.775) Data 0.001 (0.003) Loss 1.7292 (1.7197) Prec@1 53.750 (54.170) Prec@5 84.375 (83.330) Epoch: [65][2280/11272] Time 0.835 (0.775) Data 0.001 (0.003) Loss 1.5277 (1.7194) Prec@1 60.625 (54.179) Prec@5 87.500 (83.336) Epoch: [65][2290/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.8343 (1.7193) Prec@1 52.500 (54.184) Prec@5 79.375 (83.335) Epoch: [65][2300/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.9527 (1.7196) Prec@1 45.000 (54.178) Prec@5 81.875 (83.335) Epoch: [65][2310/11272] Time 0.815 (0.775) Data 0.001 (0.003) Loss 1.7395 (1.7196) Prec@1 51.250 (54.177) Prec@5 85.625 (83.334) Epoch: [65][2320/11272] Time 0.810 (0.775) Data 0.001 (0.003) Loss 1.8763 (1.7200) Prec@1 48.125 (54.167) Prec@5 81.875 (83.326) Epoch: [65][2330/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.5290 (1.7199) Prec@1 58.750 (54.177) Prec@5 85.000 (83.327) Epoch: [65][2340/11272] Time 0.827 (0.775) Data 0.001 (0.003) Loss 1.8393 (1.7200) Prec@1 49.375 (54.172) Prec@5 80.625 (83.325) Epoch: [65][2350/11272] Time 0.804 (0.775) Data 0.001 (0.003) Loss 1.7301 (1.7202) Prec@1 52.500 (54.171) Prec@5 88.750 (83.321) Epoch: [65][2360/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.4723 (1.7202) Prec@1 64.375 (54.174) Prec@5 85.625 (83.318) Epoch: [65][2370/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.5820 (1.7202) Prec@1 53.750 (54.167) Prec@5 86.875 (83.321) Epoch: [65][2380/11272] Time 0.882 (0.775) Data 0.002 (0.003) Loss 1.7609 (1.7203) Prec@1 51.875 (54.167) Prec@5 83.125 (83.321) Epoch: [65][2390/11272] Time 0.836 (0.775) Data 0.001 (0.003) Loss 1.6361 (1.7202) Prec@1 55.000 (54.170) Prec@5 83.125 (83.322) Epoch: [65][2400/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.8505 (1.7202) Prec@1 51.875 (54.168) Prec@5 79.375 (83.322) Epoch: [65][2410/11272] Time 0.729 (0.775) Data 0.001 (0.003) Loss 1.8110 (1.7201) Prec@1 55.625 (54.170) Prec@5 80.000 (83.324) Epoch: [65][2420/11272] Time 0.830 (0.775) Data 0.001 (0.003) Loss 1.6763 (1.7202) Prec@1 50.625 (54.168) Prec@5 85.625 (83.318) Epoch: [65][2430/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.6145 (1.7205) Prec@1 60.000 (54.167) Prec@5 83.750 (83.312) Epoch: [65][2440/11272] Time 0.683 (0.775) Data 0.001 (0.003) Loss 1.6994 (1.7204) Prec@1 57.500 (54.173) Prec@5 84.375 (83.313) Epoch: [65][2450/11272] Time 0.702 (0.775) Data 0.001 (0.003) Loss 1.7319 (1.7205) Prec@1 52.500 (54.172) Prec@5 82.500 (83.308) Epoch: [65][2460/11272] Time 0.786 (0.775) Data 0.001 (0.003) Loss 1.4470 (1.7202) Prec@1 61.250 (54.181) Prec@5 85.625 (83.307) Epoch: [65][2470/11272] Time 0.733 (0.775) Data 0.001 (0.003) Loss 1.7809 (1.7203) Prec@1 50.625 (54.180) Prec@5 83.125 (83.306) Epoch: [65][2480/11272] Time 0.699 (0.775) Data 0.001 (0.003) Loss 1.5543 (1.7203) Prec@1 57.500 (54.185) Prec@5 83.750 (83.306) Epoch: [65][2490/11272] Time 0.815 (0.775) Data 0.002 (0.003) Loss 1.7893 (1.7204) Prec@1 50.625 (54.181) Prec@5 85.625 (83.304) Epoch: [65][2500/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.6707 (1.7203) Prec@1 54.375 (54.183) Prec@5 86.250 (83.305) Epoch: [65][2510/11272] Time 0.728 (0.775) Data 0.001 (0.003) Loss 1.9200 (1.7204) Prec@1 51.875 (54.175) Prec@5 81.875 (83.302) Epoch: [65][2520/11272] Time 0.727 (0.775) Data 0.001 (0.003) Loss 1.5424 (1.7205) Prec@1 56.875 (54.181) Prec@5 86.250 (83.301) Epoch: [65][2530/11272] Time 0.850 (0.775) Data 0.001 (0.003) Loss 1.7713 (1.7206) Prec@1 51.250 (54.172) Prec@5 83.125 (83.300) Epoch: [65][2540/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.4824 (1.7204) Prec@1 57.500 (54.176) Prec@5 86.875 (83.300) Epoch: [65][2550/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.6391 (1.7206) Prec@1 55.625 (54.173) Prec@5 85.000 (83.294) Epoch: [65][2560/11272] Time 0.693 (0.775) Data 0.001 (0.003) Loss 1.7327 (1.7206) Prec@1 49.375 (54.172) Prec@5 83.750 (83.294) Epoch: [65][2570/11272] Time 0.829 (0.775) Data 0.002 (0.003) Loss 1.8444 (1.7205) Prec@1 48.750 (54.174) Prec@5 80.625 (83.295) Epoch: [65][2580/11272] Time 0.810 (0.775) Data 0.001 (0.003) Loss 1.6233 (1.7204) Prec@1 53.750 (54.178) Prec@5 88.125 (83.300) Epoch: [65][2590/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.6175 (1.7202) Prec@1 57.500 (54.185) Prec@5 83.750 (83.305) Epoch: [65][2600/11272] Time 0.798 (0.775) Data 0.001 (0.003) Loss 1.6574 (1.7200) Prec@1 57.500 (54.187) Prec@5 82.500 (83.303) Epoch: [65][2610/11272] Time 0.800 (0.775) Data 0.001 (0.003) Loss 1.7808 (1.7200) Prec@1 56.875 (54.187) Prec@5 81.250 (83.302) Epoch: [65][2620/11272] Time 0.708 (0.775) Data 0.001 (0.003) Loss 1.7779 (1.7199) Prec@1 51.875 (54.186) Prec@5 82.500 (83.305) Epoch: [65][2630/11272] Time 0.760 (0.775) Data 0.001 (0.003) Loss 1.6171 (1.7201) Prec@1 55.625 (54.183) Prec@5 86.875 (83.303) Epoch: [65][2640/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.8833 (1.7203) Prec@1 51.250 (54.182) Prec@5 78.125 (83.298) Epoch: [65][2650/11272] Time 0.842 (0.775) Data 0.001 (0.003) Loss 1.9241 (1.7208) Prec@1 50.000 (54.176) Prec@5 79.375 (83.289) Epoch: [65][2660/11272] Time 0.745 (0.775) Data 0.001 (0.003) Loss 1.7621 (1.7208) Prec@1 53.750 (54.174) Prec@5 80.625 (83.288) Epoch: [65][2670/11272] Time 0.723 (0.775) Data 0.001 (0.003) Loss 1.8158 (1.7207) Prec@1 54.375 (54.175) Prec@5 80.000 (83.287) Epoch: [65][2680/11272] Time 0.827 (0.775) Data 0.002 (0.003) Loss 1.8101 (1.7205) Prec@1 51.250 (54.180) Prec@5 81.875 (83.292) Epoch: [65][2690/11272] Time 0.807 (0.775) Data 0.001 (0.003) Loss 2.0180 (1.7206) Prec@1 48.750 (54.180) Prec@5 75.000 (83.286) Epoch: [65][2700/11272] Time 0.768 (0.775) Data 0.001 (0.003) Loss 1.5476 (1.7205) Prec@1 58.750 (54.184) Prec@5 86.875 (83.290) Epoch: [65][2710/11272] Time 0.724 (0.775) Data 0.002 (0.003) Loss 1.4499 (1.7205) Prec@1 60.000 (54.186) Prec@5 88.125 (83.290) Epoch: [65][2720/11272] Time 0.856 (0.775) Data 0.002 (0.003) Loss 1.8456 (1.7205) Prec@1 48.750 (54.179) Prec@5 80.000 (83.287) Epoch: [65][2730/11272] Time 0.726 (0.775) Data 0.003 (0.003) Loss 1.8310 (1.7207) Prec@1 53.125 (54.177) Prec@5 83.125 (83.287) Epoch: [65][2740/11272] Time 0.752 (0.775) Data 0.002 (0.003) Loss 1.6009 (1.7205) Prec@1 61.875 (54.181) Prec@5 86.250 (83.289) Epoch: [65][2750/11272] Time 0.820 (0.775) Data 0.001 (0.003) Loss 1.5198 (1.7204) Prec@1 60.000 (54.181) Prec@5 88.750 (83.287) Epoch: [65][2760/11272] Time 0.898 (0.775) Data 0.002 (0.003) Loss 1.8317 (1.7203) Prec@1 53.125 (54.183) Prec@5 81.875 (83.289) Epoch: [65][2770/11272] Time 0.724 (0.775) Data 0.001 (0.003) Loss 1.5653 (1.7202) Prec@1 60.000 (54.190) Prec@5 82.500 (83.290) Epoch: [65][2780/11272] Time 0.747 (0.776) Data 0.002 (0.003) Loss 1.6010 (1.7199) Prec@1 53.750 (54.194) Prec@5 83.125 (83.295) Epoch: [65][2790/11272] Time 0.867 (0.776) Data 0.002 (0.003) Loss 1.7274 (1.7199) Prec@1 54.375 (54.193) Prec@5 82.500 (83.292) Epoch: [65][2800/11272] Time 0.857 (0.776) Data 0.002 (0.003) Loss 1.7782 (1.7200) Prec@1 50.625 (54.196) Prec@5 81.875 (83.289) Epoch: [65][2810/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 1.7642 (1.7200) Prec@1 51.875 (54.203) Prec@5 81.250 (83.285) Epoch: [65][2820/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.5877 (1.7199) Prec@1 58.125 (54.203) Prec@5 85.625 (83.285) Epoch: [65][2830/11272] Time 0.805 (0.776) Data 0.001 (0.003) Loss 1.5141 (1.7199) Prec@1 63.750 (54.206) Prec@5 88.750 (83.287) Epoch: [65][2840/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.5560 (1.7198) Prec@1 53.750 (54.204) Prec@5 86.875 (83.288) Epoch: [65][2850/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.9441 (1.7199) Prec@1 43.125 (54.198) Prec@5 83.750 (83.289) Epoch: [65][2860/11272] Time 0.865 (0.776) Data 0.001 (0.003) Loss 1.7884 (1.7199) Prec@1 61.875 (54.205) Prec@5 81.875 (83.291) Epoch: [65][2870/11272] Time 0.771 (0.776) Data 0.001 (0.003) Loss 1.6764 (1.7201) Prec@1 50.625 (54.197) Prec@5 80.625 (83.284) Epoch: [65][2880/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.9714 (1.7202) Prec@1 48.125 (54.196) Prec@5 80.000 (83.282) Epoch: [65][2890/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.5998 (1.7202) Prec@1 55.625 (54.198) Prec@5 87.500 (83.278) Epoch: [65][2900/11272] Time 0.799 (0.776) Data 0.001 (0.003) Loss 1.7366 (1.7202) Prec@1 51.875 (54.197) Prec@5 85.625 (83.276) Epoch: [65][2910/11272] Time 0.825 (0.776) Data 0.001 (0.003) Loss 1.5820 (1.7201) Prec@1 58.125 (54.197) Prec@5 85.625 (83.278) Epoch: [65][2920/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.9411 (1.7201) Prec@1 51.875 (54.200) Prec@5 81.250 (83.276) Epoch: [65][2930/11272] Time 0.692 (0.775) Data 0.002 (0.002) Loss 1.6200 (1.7201) Prec@1 56.250 (54.201) Prec@5 86.250 (83.276) Epoch: [65][2940/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.5156 (1.7200) Prec@1 56.875 (54.198) Prec@5 83.125 (83.275) Epoch: [65][2950/11272] Time 0.798 (0.775) Data 0.001 (0.002) Loss 1.8073 (1.7200) Prec@1 53.750 (54.195) Prec@5 80.625 (83.276) Epoch: [65][2960/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.8003 (1.7200) Prec@1 51.250 (54.199) Prec@5 82.500 (83.274) Epoch: [65][2970/11272] Time 0.746 (0.775) Data 0.002 (0.002) Loss 1.5844 (1.7200) Prec@1 57.500 (54.197) Prec@5 86.875 (83.273) Epoch: [65][2980/11272] Time 0.857 (0.775) Data 0.001 (0.002) Loss 1.8294 (1.7201) Prec@1 55.000 (54.197) Prec@5 83.750 (83.276) Epoch: [65][2990/11272] Time 0.725 (0.775) Data 0.003 (0.002) Loss 1.8498 (1.7202) Prec@1 48.750 (54.199) Prec@5 81.875 (83.272) Epoch: [65][3000/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.5298 (1.7202) Prec@1 56.875 (54.199) Prec@5 89.375 (83.272) Epoch: [65][3010/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5825 (1.7200) Prec@1 56.250 (54.204) Prec@5 85.000 (83.277) Epoch: [65][3020/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6921 (1.7202) Prec@1 51.250 (54.202) Prec@5 84.375 (83.272) Epoch: [65][3030/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.9231 (1.7203) Prec@1 46.875 (54.197) Prec@5 83.125 (83.265) Epoch: [65][3040/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.5809 (1.7203) Prec@1 56.250 (54.193) Prec@5 83.750 (83.264) Epoch: [65][3050/11272] Time 0.854 (0.775) Data 0.001 (0.002) Loss 1.6180 (1.7201) Prec@1 53.125 (54.196) Prec@5 83.125 (83.266) Epoch: [65][3060/11272] Time 0.784 (0.775) Data 0.001 (0.002) Loss 1.6089 (1.7200) Prec@1 58.125 (54.196) Prec@5 85.000 (83.267) Epoch: [65][3070/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.5817 (1.7199) Prec@1 56.250 (54.197) Prec@5 83.750 (83.270) Epoch: [65][3080/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.7792 (1.7198) Prec@1 53.750 (54.193) Prec@5 81.250 (83.270) Epoch: [65][3090/11272] Time 0.778 (0.775) Data 0.001 (0.002) Loss 1.5536 (1.7196) Prec@1 59.375 (54.195) Prec@5 85.625 (83.273) Epoch: [65][3100/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.9431 (1.7197) Prec@1 48.125 (54.191) Prec@5 78.750 (83.274) Epoch: [65][3110/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.6555 (1.7198) Prec@1 55.625 (54.191) Prec@5 85.000 (83.270) Epoch: [65][3120/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.7187 (1.7199) Prec@1 53.125 (54.182) Prec@5 79.375 (83.264) Epoch: [65][3130/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.6497 (1.7197) Prec@1 51.250 (54.189) Prec@5 88.125 (83.270) Epoch: [65][3140/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.7937 (1.7199) Prec@1 53.125 (54.186) Prec@5 81.250 (83.265) Epoch: [65][3150/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.4522 (1.7197) Prec@1 57.500 (54.188) Prec@5 88.125 (83.270) Epoch: [65][3160/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5545 (1.7198) Prec@1 55.000 (54.180) Prec@5 83.125 (83.270) Epoch: [65][3170/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.4073 (1.7198) Prec@1 60.000 (54.182) Prec@5 90.000 (83.269) Epoch: [65][3180/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.7665 (1.7200) Prec@1 50.625 (54.178) Prec@5 81.875 (83.265) Epoch: [65][3190/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6820 (1.7201) Prec@1 52.500 (54.172) Prec@5 83.750 (83.263) Epoch: [65][3200/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6847 (1.7203) Prec@1 53.750 (54.173) Prec@5 85.000 (83.261) Epoch: [65][3210/11272] Time 0.851 (0.775) Data 0.002 (0.002) Loss 1.6941 (1.7201) Prec@1 55.625 (54.182) Prec@5 83.125 (83.262) Epoch: [65][3220/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.7933 (1.7202) Prec@1 50.000 (54.179) Prec@5 83.125 (83.259) Epoch: [65][3230/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.7244 (1.7203) Prec@1 53.750 (54.174) Prec@5 83.125 (83.257) Epoch: [65][3240/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.7572 (1.7204) Prec@1 57.500 (54.173) Prec@5 81.250 (83.253) Epoch: [65][3250/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6563 (1.7204) Prec@1 56.250 (54.167) Prec@5 82.500 (83.254) Epoch: [65][3260/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.6444 (1.7203) Prec@1 56.250 (54.168) Prec@5 85.625 (83.258) Epoch: [65][3270/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5689 (1.7200) Prec@1 56.875 (54.175) Prec@5 84.375 (83.263) Epoch: [65][3280/11272] Time 0.850 (0.775) Data 0.001 (0.002) Loss 1.7636 (1.7199) Prec@1 50.625 (54.179) Prec@5 81.875 (83.266) Epoch: [65][3290/11272] Time 0.722 (0.775) Data 0.002 (0.002) Loss 1.5877 (1.7199) Prec@1 56.250 (54.181) Prec@5 86.875 (83.266) Epoch: [65][3300/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.8176 (1.7201) Prec@1 53.750 (54.177) Prec@5 80.625 (83.260) Epoch: [65][3310/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7796 (1.7201) Prec@1 53.125 (54.180) Prec@5 82.500 (83.259) Epoch: [65][3320/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.6819 (1.7202) Prec@1 58.125 (54.184) Prec@5 81.250 (83.257) Epoch: [65][3330/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.8209 (1.7203) Prec@1 51.875 (54.182) Prec@5 78.125 (83.250) Epoch: [65][3340/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.8962 (1.7203) Prec@1 48.125 (54.181) Prec@5 81.875 (83.252) Epoch: [65][3350/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7213 (1.7204) Prec@1 49.375 (54.177) Prec@5 84.375 (83.250) Epoch: [65][3360/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5406 (1.7203) Prec@1 55.625 (54.178) Prec@5 87.500 (83.253) Epoch: [65][3370/11272] Time 0.754 (0.775) Data 0.004 (0.002) Loss 1.7811 (1.7206) Prec@1 46.875 (54.172) Prec@5 80.000 (83.247) Epoch: [65][3380/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.8552 (1.7207) Prec@1 50.625 (54.169) Prec@5 83.125 (83.245) Epoch: [65][3390/11272] Time 0.871 (0.775) Data 0.001 (0.002) Loss 2.0026 (1.7208) Prec@1 50.000 (54.167) Prec@5 80.625 (83.246) Epoch: [65][3400/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.9947 (1.7211) Prec@1 51.250 (54.166) Prec@5 77.500 (83.238) Epoch: [65][3410/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.9404 (1.7213) Prec@1 53.750 (54.164) Prec@5 78.750 (83.234) Epoch: [65][3420/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7163 (1.7213) Prec@1 53.750 (54.167) Prec@5 85.000 (83.234) Epoch: [65][3430/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.4853 (1.7214) Prec@1 57.500 (54.161) Prec@5 88.125 (83.231) Epoch: [65][3440/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.9078 (1.7216) Prec@1 55.000 (54.160) Prec@5 77.500 (83.225) Epoch: [65][3450/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.8666 (1.7215) Prec@1 51.250 (54.161) Prec@5 82.500 (83.225) Epoch: [65][3460/11272] Time 0.837 (0.775) Data 0.002 (0.002) Loss 1.5650 (1.7216) Prec@1 59.375 (54.160) Prec@5 85.625 (83.224) Epoch: [65][3470/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.6290 (1.7214) Prec@1 56.250 (54.164) Prec@5 86.250 (83.227) Epoch: [65][3480/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5783 (1.7215) Prec@1 58.125 (54.161) Prec@5 88.750 (83.226) Epoch: [65][3490/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.6254 (1.7214) Prec@1 56.250 (54.164) Prec@5 83.750 (83.226) Epoch: [65][3500/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.7449 (1.7217) Prec@1 59.375 (54.161) Prec@5 83.125 (83.223) Epoch: [65][3510/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.8377 (1.7218) Prec@1 54.375 (54.160) Prec@5 82.500 (83.220) Epoch: [65][3520/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.6768 (1.7218) Prec@1 52.500 (54.156) Prec@5 81.250 (83.219) Epoch: [65][3530/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.5316 (1.7216) Prec@1 63.125 (54.160) Prec@5 85.000 (83.221) Epoch: [65][3540/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.7828 (1.7217) Prec@1 53.750 (54.158) Prec@5 83.750 (83.221) Epoch: [65][3550/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.8649 (1.7218) Prec@1 51.875 (54.154) Prec@5 80.625 (83.223) Epoch: [65][3560/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.5409 (1.7218) Prec@1 52.500 (54.147) Prec@5 87.500 (83.224) Epoch: [65][3570/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6263 (1.7220) Prec@1 56.250 (54.144) Prec@5 85.625 (83.221) Epoch: [65][3580/11272] Time 0.816 (0.775) Data 0.002 (0.002) Loss 1.7927 (1.7221) Prec@1 48.125 (54.136) Prec@5 83.125 (83.220) Epoch: [65][3590/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7433 (1.7223) Prec@1 51.250 (54.125) Prec@5 82.500 (83.217) Epoch: [65][3600/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 2.0446 (1.7223) Prec@1 45.625 (54.124) Prec@5 76.250 (83.215) Epoch: [65][3610/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.7240 (1.7223) Prec@1 58.125 (54.127) Prec@5 83.750 (83.217) Epoch: [65][3620/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.9367 (1.7224) Prec@1 50.625 (54.125) Prec@5 80.000 (83.214) Epoch: [65][3630/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.7778 (1.7225) Prec@1 51.250 (54.122) Prec@5 86.875 (83.213) Epoch: [65][3640/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6218 (1.7228) Prec@1 57.500 (54.114) Prec@5 83.750 (83.208) Epoch: [65][3650/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.7699 (1.7228) Prec@1 56.250 (54.113) Prec@5 83.125 (83.206) Epoch: [65][3660/11272] Time 0.714 (0.775) Data 0.003 (0.002) Loss 1.6576 (1.7228) Prec@1 53.750 (54.116) Prec@5 85.625 (83.202) Epoch: [65][3670/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.8634 (1.7228) Prec@1 55.625 (54.118) Prec@5 81.250 (83.203) Epoch: [65][3680/11272] Time 0.836 (0.775) Data 0.002 (0.002) Loss 1.9079 (1.7229) Prec@1 44.375 (54.113) Prec@5 78.125 (83.202) Epoch: [65][3690/11272] Time 0.867 (0.775) Data 0.002 (0.002) Loss 1.8220 (1.7229) Prec@1 50.000 (54.115) Prec@5 83.125 (83.205) Epoch: [65][3700/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.5846 (1.7227) Prec@1 59.375 (54.118) Prec@5 83.750 (83.204) Epoch: [65][3710/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.5872 (1.7226) Prec@1 58.125 (54.120) Prec@5 83.750 (83.206) Epoch: [65][3720/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.6180 (1.7226) Prec@1 57.500 (54.123) Prec@5 83.125 (83.208) Epoch: [65][3730/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.7328 (1.7227) Prec@1 53.125 (54.122) Prec@5 85.625 (83.206) Epoch: [65][3740/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 2.0441 (1.7226) Prec@1 46.250 (54.125) Prec@5 77.500 (83.207) Epoch: [65][3750/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.7691 (1.7226) Prec@1 50.625 (54.126) Prec@5 81.875 (83.207) Epoch: [65][3760/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.6541 (1.7226) Prec@1 52.500 (54.123) Prec@5 83.125 (83.208) Epoch: [65][3770/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.8775 (1.7227) Prec@1 50.625 (54.121) Prec@5 81.875 (83.209) Epoch: [65][3780/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.9409 (1.7228) Prec@1 50.625 (54.117) Prec@5 80.000 (83.206) Epoch: [65][3790/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.8035 (1.7228) Prec@1 52.500 (54.119) Prec@5 81.875 (83.206) Epoch: [65][3800/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.5935 (1.7227) Prec@1 56.875 (54.121) Prec@5 86.250 (83.211) Epoch: [65][3810/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.8268 (1.7227) Prec@1 56.875 (54.123) Prec@5 81.875 (83.212) Epoch: [65][3820/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.6527 (1.7226) Prec@1 56.250 (54.122) Prec@5 81.875 (83.212) Epoch: [65][3830/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.6824 (1.7226) Prec@1 55.625 (54.122) Prec@5 83.750 (83.213) Epoch: [65][3840/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.7479 (1.7226) Prec@1 52.500 (54.120) Prec@5 81.875 (83.211) Epoch: [65][3850/11272] Time 0.681 (0.775) Data 0.001 (0.002) Loss 1.8001 (1.7228) Prec@1 55.000 (54.115) Prec@5 80.625 (83.207) Epoch: [65][3860/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.9607 (1.7229) Prec@1 51.875 (54.113) Prec@5 72.500 (83.204) Epoch: [65][3870/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.6932 (1.7228) Prec@1 55.000 (54.116) Prec@5 86.875 (83.207) Epoch: [65][3880/11272] Time 0.854 (0.775) Data 0.002 (0.002) Loss 1.6627 (1.7230) Prec@1 51.875 (54.113) Prec@5 83.750 (83.204) Epoch: [65][3890/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.6847 (1.7228) Prec@1 58.750 (54.116) Prec@5 80.625 (83.208) Epoch: [65][3900/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.9958 (1.7231) Prec@1 43.750 (54.109) Prec@5 80.625 (83.205) Epoch: [65][3910/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.5483 (1.7232) Prec@1 61.250 (54.108) Prec@5 86.250 (83.205) Epoch: [65][3920/11272] Time 0.710 (0.775) Data 0.003 (0.002) Loss 1.5638 (1.7233) Prec@1 58.750 (54.106) Prec@5 86.250 (83.204) Epoch: [65][3930/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.6068 (1.7232) Prec@1 54.375 (54.109) Prec@5 87.500 (83.207) Epoch: [65][3940/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 2.0893 (1.7233) Prec@1 45.625 (54.104) Prec@5 76.250 (83.205) Epoch: [65][3950/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.7233 (1.7235) Prec@1 58.125 (54.102) Prec@5 83.125 (83.202) Epoch: [65][3960/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5605 (1.7234) Prec@1 52.500 (54.105) Prec@5 86.250 (83.202) Epoch: [65][3970/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.7722 (1.7235) Prec@1 53.750 (54.106) Prec@5 80.000 (83.201) Epoch: [65][3980/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.4775 (1.7235) Prec@1 58.750 (54.107) Prec@5 88.125 (83.201) Epoch: [65][3990/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.6670 (1.7235) Prec@1 56.250 (54.108) Prec@5 83.125 (83.200) Epoch: [65][4000/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.6422 (1.7235) Prec@1 51.875 (54.106) Prec@5 85.625 (83.200) Epoch: [65][4010/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.6094 (1.7236) Prec@1 53.125 (54.107) Prec@5 86.250 (83.199) Epoch: [65][4020/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6549 (1.7238) Prec@1 58.125 (54.102) Prec@5 85.000 (83.198) Epoch: [65][4030/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.9085 (1.7239) Prec@1 49.375 (54.101) Prec@5 80.625 (83.201) Epoch: [65][4040/11272] Time 0.744 (0.774) Data 0.001 (0.002) Loss 1.6808 (1.7238) Prec@1 58.125 (54.098) Prec@5 85.625 (83.203) Epoch: [65][4050/11272] Time 0.875 (0.774) Data 0.001 (0.002) Loss 1.7955 (1.7239) Prec@1 51.250 (54.096) Prec@5 83.750 (83.201) Epoch: [65][4060/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.4308 (1.7239) Prec@1 60.625 (54.096) Prec@5 86.250 (83.200) Epoch: [65][4070/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.7789 (1.7238) Prec@1 53.125 (54.095) Prec@5 83.125 (83.202) Epoch: [65][4080/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.8128 (1.7237) Prec@1 51.875 (54.097) Prec@5 83.125 (83.204) Epoch: [65][4090/11272] Time 0.874 (0.774) Data 0.001 (0.002) Loss 1.7113 (1.7236) Prec@1 53.125 (54.094) Prec@5 82.500 (83.205) Epoch: [65][4100/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.7778 (1.7237) Prec@1 52.500 (54.088) Prec@5 85.000 (83.204) Epoch: [65][4110/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.7215 (1.7238) Prec@1 52.500 (54.090) Prec@5 80.625 (83.203) Epoch: [65][4120/11272] Time 0.742 (0.774) Data 0.001 (0.002) Loss 1.7118 (1.7236) Prec@1 56.875 (54.097) Prec@5 83.750 (83.204) Epoch: [65][4130/11272] Time 0.839 (0.774) Data 0.001 (0.002) Loss 1.6494 (1.7237) Prec@1 61.250 (54.096) Prec@5 80.625 (83.200) Epoch: [65][4140/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 1.9932 (1.7239) Prec@1 51.250 (54.093) Prec@5 80.000 (83.198) Epoch: [65][4150/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.8961 (1.7239) Prec@1 45.000 (54.088) Prec@5 79.375 (83.198) Epoch: [65][4160/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6589 (1.7239) Prec@1 56.250 (54.085) Prec@5 85.000 (83.200) Epoch: [65][4170/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 2.0435 (1.7239) Prec@1 47.500 (54.086) Prec@5 78.750 (83.200) Epoch: [65][4180/11272] Time 0.830 (0.774) Data 0.002 (0.002) Loss 1.6883 (1.7240) Prec@1 53.750 (54.083) Prec@5 80.625 (83.199) Epoch: [65][4190/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5670 (1.7240) Prec@1 57.500 (54.086) Prec@5 84.375 (83.198) Epoch: [65][4200/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 2.0053 (1.7238) Prec@1 48.125 (54.087) Prec@5 75.625 (83.202) Epoch: [65][4210/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.7629 (1.7239) Prec@1 55.000 (54.085) Prec@5 83.750 (83.200) Epoch: [65][4220/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.7715 (1.7241) Prec@1 54.375 (54.080) Prec@5 82.500 (83.196) Epoch: [65][4230/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.6082 (1.7241) Prec@1 57.500 (54.079) Prec@5 80.000 (83.195) Epoch: [65][4240/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.7657 (1.7242) Prec@1 48.750 (54.076) Prec@5 83.125 (83.196) Epoch: [65][4250/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.7828 (1.7243) Prec@1 53.750 (54.072) Prec@5 81.875 (83.193) Epoch: [65][4260/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5695 (1.7240) Prec@1 61.875 (54.078) Prec@5 83.125 (83.197) Epoch: [65][4270/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.8477 (1.7239) Prec@1 49.375 (54.081) Prec@5 83.125 (83.198) Epoch: [65][4280/11272] Time 0.861 (0.774) Data 0.002 (0.002) Loss 1.6742 (1.7238) Prec@1 56.875 (54.081) Prec@5 81.875 (83.200) Epoch: [65][4290/11272] Time 0.851 (0.774) Data 0.001 (0.002) Loss 1.6392 (1.7238) Prec@1 55.625 (54.081) Prec@5 84.375 (83.200) Epoch: [65][4300/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 2.0211 (1.7238) Prec@1 50.000 (54.080) Prec@5 73.750 (83.199) Epoch: [65][4310/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5730 (1.7237) Prec@1 54.375 (54.081) Prec@5 88.125 (83.203) Epoch: [65][4320/11272] Time 0.861 (0.774) Data 0.001 (0.002) Loss 1.8561 (1.7237) Prec@1 48.750 (54.077) Prec@5 85.625 (83.203) Epoch: [65][4330/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.7936 (1.7237) Prec@1 51.875 (54.081) Prec@5 83.125 (83.203) Epoch: [65][4340/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.7506 (1.7237) Prec@1 53.750 (54.082) Prec@5 81.250 (83.201) Epoch: [65][4350/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.5402 (1.7237) Prec@1 56.250 (54.084) Prec@5 88.125 (83.203) Epoch: [65][4360/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.5210 (1.7235) Prec@1 55.625 (54.089) Prec@5 88.750 (83.205) Epoch: [65][4370/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.5364 (1.7237) Prec@1 61.875 (54.088) Prec@5 86.250 (83.203) Epoch: [65][4380/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7123 (1.7237) Prec@1 57.500 (54.086) Prec@5 84.375 (83.201) Epoch: [65][4390/11272] Time 0.824 (0.774) Data 0.002 (0.002) Loss 1.6150 (1.7235) Prec@1 51.875 (54.092) Prec@5 85.000 (83.206) Epoch: [65][4400/11272] Time 0.839 (0.774) Data 0.001 (0.002) Loss 1.5192 (1.7235) Prec@1 57.500 (54.094) Prec@5 86.250 (83.206) Epoch: [65][4410/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7911 (1.7235) Prec@1 49.375 (54.093) Prec@5 84.375 (83.204) Epoch: [65][4420/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.8573 (1.7234) Prec@1 53.750 (54.096) Prec@5 83.750 (83.206) Epoch: [65][4430/11272] Time 0.825 (0.774) Data 0.002 (0.002) Loss 1.6103 (1.7232) Prec@1 60.000 (54.102) Prec@5 83.750 (83.210) Epoch: [65][4440/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.6466 (1.7233) Prec@1 54.375 (54.102) Prec@5 83.750 (83.208) Epoch: [65][4450/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5573 (1.7232) Prec@1 53.750 (54.102) Prec@5 88.125 (83.211) Epoch: [65][4460/11272] Time 0.827 (0.774) Data 0.002 (0.002) Loss 1.8118 (1.7231) Prec@1 50.000 (54.103) Prec@5 84.375 (83.212) Epoch: [65][4470/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.5490 (1.7231) Prec@1 57.500 (54.098) Prec@5 86.875 (83.214) Epoch: [65][4480/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.6690 (1.7231) Prec@1 53.750 (54.098) Prec@5 81.875 (83.212) Epoch: [65][4490/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.7374 (1.7232) Prec@1 53.125 (54.095) Prec@5 82.500 (83.209) Epoch: [65][4500/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5339 (1.7232) Prec@1 57.500 (54.093) Prec@5 91.875 (83.210) Epoch: [65][4510/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.6049 (1.7231) Prec@1 57.500 (54.096) Prec@5 83.750 (83.212) Epoch: [65][4520/11272] Time 0.736 (0.774) Data 0.002 (0.002) Loss 1.9042 (1.7232) Prec@1 50.625 (54.091) Prec@5 83.125 (83.211) Epoch: [65][4530/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.6559 (1.7232) Prec@1 60.625 (54.092) Prec@5 85.000 (83.210) Epoch: [65][4540/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.7122 (1.7233) Prec@1 49.375 (54.086) Prec@5 84.375 (83.207) Epoch: [65][4550/11272] Time 0.855 (0.774) Data 0.002 (0.002) Loss 1.6284 (1.7232) Prec@1 55.000 (54.085) Prec@5 86.875 (83.208) Epoch: [65][4560/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.8384 (1.7234) Prec@1 51.875 (54.083) Prec@5 82.500 (83.204) Epoch: [65][4570/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6118 (1.7234) Prec@1 54.375 (54.079) Prec@5 85.000 (83.205) Epoch: [65][4580/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.9738 (1.7234) Prec@1 48.750 (54.080) Prec@5 78.750 (83.204) Epoch: [65][4590/11272] Time 0.724 (0.774) Data 0.003 (0.002) Loss 1.8452 (1.7235) Prec@1 49.375 (54.078) Prec@5 81.250 (83.202) Epoch: [65][4600/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.6828 (1.7236) Prec@1 53.750 (54.077) Prec@5 83.125 (83.200) Epoch: [65][4610/11272] Time 0.856 (0.774) Data 0.001 (0.002) Loss 1.6237 (1.7236) Prec@1 50.625 (54.076) Prec@5 83.125 (83.200) Epoch: [65][4620/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.7620 (1.7236) Prec@1 51.250 (54.073) Prec@5 81.250 (83.197) Epoch: [65][4630/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.7066 (1.7237) Prec@1 54.375 (54.071) Prec@5 83.750 (83.196) Epoch: [65][4640/11272] Time 0.778 (0.774) Data 0.001 (0.002) Loss 1.7394 (1.7238) Prec@1 49.375 (54.066) Prec@5 80.625 (83.195) Epoch: [65][4650/11272] Time 0.887 (0.774) Data 0.002 (0.002) Loss 1.5415 (1.7240) Prec@1 61.250 (54.065) Prec@5 85.625 (83.191) Epoch: [65][4660/11272] Time 0.871 (0.774) Data 0.001 (0.002) Loss 1.9169 (1.7241) Prec@1 49.375 (54.059) Prec@5 85.000 (83.190) Epoch: [65][4670/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.8403 (1.7243) Prec@1 51.250 (54.056) Prec@5 83.125 (83.186) Epoch: [65][4680/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.7739 (1.7244) Prec@1 51.250 (54.053) Prec@5 80.000 (83.184) Epoch: [65][4690/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.7198 (1.7244) Prec@1 53.750 (54.051) Prec@5 84.375 (83.184) Epoch: [65][4700/11272] Time 0.868 (0.774) Data 0.001 (0.002) Loss 1.6591 (1.7243) Prec@1 55.000 (54.055) Prec@5 83.125 (83.184) Epoch: [65][4710/11272] Time 0.730 (0.774) Data 0.002 (0.002) Loss 1.6404 (1.7242) Prec@1 55.000 (54.056) Prec@5 85.000 (83.185) Epoch: [65][4720/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.7604 (1.7243) Prec@1 54.375 (54.053) Prec@5 81.875 (83.183) Epoch: [65][4730/11272] Time 0.900 (0.774) Data 0.002 (0.002) Loss 1.9652 (1.7243) Prec@1 50.000 (54.049) Prec@5 78.750 (83.185) Epoch: [65][4740/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.5811 (1.7242) Prec@1 55.625 (54.051) Prec@5 85.625 (83.186) Epoch: [65][4750/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8378 (1.7243) Prec@1 50.000 (54.052) Prec@5 76.875 (83.183) Epoch: [65][4760/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.5380 (1.7243) Prec@1 60.000 (54.050) Prec@5 86.875 (83.182) Epoch: [65][4770/11272] Time 0.800 (0.774) Data 0.002 (0.002) Loss 1.7491 (1.7244) Prec@1 54.375 (54.048) Prec@5 81.875 (83.179) Epoch: [65][4780/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.6432 (1.7243) Prec@1 57.500 (54.049) Prec@5 83.750 (83.181) Epoch: [65][4790/11272] Time 0.744 (0.774) Data 0.002 (0.002) Loss 1.7531 (1.7244) Prec@1 53.125 (54.048) Prec@5 83.750 (83.178) Epoch: [65][4800/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.6368 (1.7244) Prec@1 61.250 (54.051) Prec@5 82.500 (83.180) Epoch: [65][4810/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5794 (1.7244) Prec@1 61.875 (54.054) Prec@5 85.625 (83.179) Epoch: [65][4820/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7167 (1.7245) Prec@1 50.000 (54.053) Prec@5 85.625 (83.176) Epoch: [65][4830/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.8362 (1.7245) Prec@1 54.375 (54.051) Prec@5 81.250 (83.178) Epoch: [65][4840/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.8407 (1.7246) Prec@1 50.625 (54.050) Prec@5 81.250 (83.177) Epoch: [65][4850/11272] Time 0.740 (0.774) Data 0.004 (0.002) Loss 1.6386 (1.7247) Prec@1 59.375 (54.049) Prec@5 85.625 (83.176) Epoch: [65][4860/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.7568 (1.7248) Prec@1 47.500 (54.048) Prec@5 85.625 (83.176) Epoch: [65][4870/11272] Time 0.838 (0.774) Data 0.002 (0.002) Loss 1.6920 (1.7249) Prec@1 51.875 (54.045) Prec@5 83.750 (83.174) Epoch: [65][4880/11272] Time 0.855 (0.774) Data 0.002 (0.002) Loss 1.5118 (1.7250) Prec@1 59.375 (54.046) Prec@5 86.250 (83.173) Epoch: [65][4890/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.6305 (1.7251) Prec@1 56.250 (54.041) Prec@5 85.625 (83.173) Epoch: [65][4900/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7767 (1.7251) Prec@1 55.625 (54.042) Prec@5 83.750 (83.172) Epoch: [65][4910/11272] Time 0.841 (0.774) Data 0.001 (0.002) Loss 1.7023 (1.7251) Prec@1 56.250 (54.047) Prec@5 81.875 (83.174) Epoch: [65][4920/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.8673 (1.7250) Prec@1 55.000 (54.049) Prec@5 80.625 (83.176) Epoch: [65][4930/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.7190 (1.7249) Prec@1 54.375 (54.052) Prec@5 83.125 (83.178) Epoch: [65][4940/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.8954 (1.7250) Prec@1 54.375 (54.053) Prec@5 78.750 (83.177) Epoch: [65][4950/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.6131 (1.7251) Prec@1 59.375 (54.053) Prec@5 84.375 (83.175) Epoch: [65][4960/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.9495 (1.7252) Prec@1 50.625 (54.052) Prec@5 81.875 (83.174) Epoch: [65][4970/11272] Time 0.740 (0.774) Data 0.001 (0.002) Loss 1.6171 (1.7252) Prec@1 56.250 (54.053) Prec@5 89.375 (83.175) Epoch: [65][4980/11272] Time 0.857 (0.774) Data 0.001 (0.002) Loss 1.7294 (1.7252) Prec@1 52.500 (54.053) Prec@5 82.500 (83.178) Epoch: [65][4990/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.8007 (1.7254) Prec@1 59.375 (54.049) Prec@5 81.875 (83.177) Epoch: [65][5000/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.7815 (1.7254) Prec@1 56.875 (54.048) Prec@5 81.875 (83.176) Epoch: [65][5010/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.9391 (1.7255) Prec@1 53.125 (54.044) Prec@5 82.500 (83.176) Epoch: [65][5020/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.7846 (1.7254) Prec@1 53.125 (54.047) Prec@5 83.750 (83.178) Epoch: [65][5030/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.5066 (1.7254) Prec@1 60.000 (54.046) Prec@5 85.625 (83.181) Epoch: [65][5040/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7928 (1.7255) Prec@1 53.125 (54.046) Prec@5 78.750 (83.180) Epoch: [65][5050/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.7689 (1.7254) Prec@1 54.375 (54.048) Prec@5 79.375 (83.181) Epoch: [65][5060/11272] Time 0.834 (0.774) Data 0.002 (0.002) Loss 1.6694 (1.7253) Prec@1 60.000 (54.052) Prec@5 83.750 (83.184) Epoch: [65][5070/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.5469 (1.7253) Prec@1 59.375 (54.052) Prec@5 86.250 (83.184) Epoch: [65][5080/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.7340 (1.7253) Prec@1 51.875 (54.052) Prec@5 83.750 (83.185) Epoch: [65][5090/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.8212 (1.7252) Prec@1 47.500 (54.051) Prec@5 82.500 (83.185) Epoch: [65][5100/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.8605 (1.7253) Prec@1 48.750 (54.050) Prec@5 81.250 (83.184) Epoch: [65][5110/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.7449 (1.7253) Prec@1 53.750 (54.050) Prec@5 81.250 (83.184) Epoch: [65][5120/11272] Time 0.791 (0.774) Data 0.001 (0.002) Loss 1.7350 (1.7253) Prec@1 54.375 (54.049) Prec@5 83.125 (83.184) Epoch: [65][5130/11272] Time 0.856 (0.774) Data 0.001 (0.002) Loss 2.0396 (1.7253) Prec@1 47.500 (54.049) Prec@5 75.625 (83.183) Epoch: [65][5140/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.6417 (1.7252) Prec@1 53.125 (54.051) Prec@5 86.250 (83.184) Epoch: [65][5150/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6763 (1.7253) Prec@1 53.125 (54.050) Prec@5 85.000 (83.185) Epoch: [65][5160/11272] Time 0.692 (0.774) Data 0.001 (0.002) Loss 1.9046 (1.7251) Prec@1 53.125 (54.052) Prec@5 80.000 (83.188) Epoch: [65][5170/11272] Time 0.856 (0.774) Data 0.001 (0.002) Loss 1.6890 (1.7253) Prec@1 54.375 (54.049) Prec@5 83.750 (83.186) Epoch: [65][5180/11272] Time 0.795 (0.774) Data 0.001 (0.002) Loss 1.7142 (1.7253) Prec@1 53.125 (54.049) Prec@5 81.875 (83.185) Epoch: [65][5190/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.6857 (1.7252) Prec@1 57.500 (54.051) Prec@5 84.375 (83.186) Epoch: [65][5200/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7706 (1.7252) Prec@1 53.125 (54.052) Prec@5 83.750 (83.187) Epoch: [65][5210/11272] Time 0.793 (0.774) Data 0.002 (0.002) Loss 1.6919 (1.7252) Prec@1 52.500 (54.050) Prec@5 82.500 (83.186) Epoch: [65][5220/11272] Time 0.794 (0.774) Data 0.001 (0.002) Loss 1.7611 (1.7251) Prec@1 51.250 (54.050) Prec@5 87.500 (83.191) Epoch: [65][5230/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6010 (1.7251) Prec@1 56.250 (54.049) Prec@5 86.875 (83.191) Epoch: [65][5240/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8793 (1.7252) Prec@1 55.000 (54.047) Prec@5 80.625 (83.193) Epoch: [65][5250/11272] Time 0.835 (0.774) Data 0.002 (0.002) Loss 1.9025 (1.7252) Prec@1 50.625 (54.045) Prec@5 83.125 (83.194) Epoch: [65][5260/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.8064 (1.7252) Prec@1 50.625 (54.045) Prec@5 82.500 (83.195) Epoch: [65][5270/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.8322 (1.7253) Prec@1 51.875 (54.044) Prec@5 80.625 (83.194) Epoch: [65][5280/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.9141 (1.7253) Prec@1 51.250 (54.044) Prec@5 81.250 (83.194) Epoch: [65][5290/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.7514 (1.7254) Prec@1 53.750 (54.045) Prec@5 86.250 (83.195) Epoch: [65][5300/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.8785 (1.7255) Prec@1 51.250 (54.042) Prec@5 80.625 (83.192) Epoch: [65][5310/11272] Time 0.715 (0.774) Data 0.002 (0.002) Loss 1.8113 (1.7255) Prec@1 51.875 (54.040) Prec@5 76.250 (83.189) Epoch: [65][5320/11272] Time 0.848 (0.774) Data 0.001 (0.002) Loss 1.7085 (1.7254) Prec@1 56.875 (54.039) Prec@5 80.000 (83.189) Epoch: [65][5330/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6629 (1.7255) Prec@1 55.000 (54.037) Prec@5 85.625 (83.189) Epoch: [65][5340/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.6477 (1.7256) Prec@1 58.750 (54.037) Prec@5 86.250 (83.187) Epoch: [65][5350/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.9134 (1.7257) Prec@1 56.875 (54.039) Prec@5 82.500 (83.187) Epoch: [65][5360/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.6998 (1.7258) Prec@1 57.500 (54.036) Prec@5 83.750 (83.186) Epoch: [65][5370/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.5238 (1.7258) Prec@1 54.375 (54.036) Prec@5 88.750 (83.186) Epoch: [65][5380/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.7054 (1.7259) Prec@1 51.250 (54.034) Prec@5 83.750 (83.186) Epoch: [65][5390/11272] Time 0.869 (0.774) Data 0.001 (0.002) Loss 1.7707 (1.7258) Prec@1 54.375 (54.038) Prec@5 80.000 (83.188) Epoch: [65][5400/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.9930 (1.7260) Prec@1 50.000 (54.034) Prec@5 77.500 (83.187) Epoch: [65][5410/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.6409 (1.7258) Prec@1 55.625 (54.039) Prec@5 83.125 (83.189) Epoch: [65][5420/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7181 (1.7259) Prec@1 54.375 (54.040) Prec@5 79.375 (83.186) Epoch: [65][5430/11272] Time 0.872 (0.774) Data 0.002 (0.002) Loss 2.0269 (1.7259) Prec@1 48.125 (54.040) Prec@5 78.750 (83.186) Epoch: [65][5440/11272] Time 0.838 (0.774) Data 0.002 (0.002) Loss 1.5170 (1.7259) Prec@1 55.625 (54.041) Prec@5 88.750 (83.187) Epoch: [65][5450/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.8022 (1.7259) Prec@1 52.500 (54.039) Prec@5 81.875 (83.187) Epoch: [65][5460/11272] Time 0.689 (0.774) Data 0.002 (0.002) Loss 1.6965 (1.7259) Prec@1 53.750 (54.037) Prec@5 83.125 (83.187) Epoch: [65][5470/11272] Time 0.867 (0.774) Data 0.002 (0.002) Loss 1.5911 (1.7259) Prec@1 55.000 (54.035) Prec@5 86.875 (83.189) Epoch: [65][5480/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.8461 (1.7259) Prec@1 50.625 (54.035) Prec@5 81.875 (83.190) Epoch: [65][5490/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5973 (1.7258) Prec@1 56.250 (54.036) Prec@5 85.625 (83.192) Epoch: [65][5500/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6684 (1.7258) Prec@1 55.625 (54.036) Prec@5 81.875 (83.191) Epoch: [65][5510/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.8143 (1.7258) Prec@1 50.000 (54.036) Prec@5 83.125 (83.192) Epoch: [65][5520/11272] Time 0.699 (0.774) Data 0.002 (0.002) Loss 1.6861 (1.7258) Prec@1 50.000 (54.033) Prec@5 85.625 (83.192) Epoch: [65][5530/11272] Time 0.700 (0.774) Data 0.001 (0.002) Loss 1.5913 (1.7257) Prec@1 56.250 (54.034) Prec@5 81.875 (83.193) Epoch: [65][5540/11272] Time 0.867 (0.774) Data 0.002 (0.002) Loss 1.6673 (1.7259) Prec@1 55.000 (54.030) Prec@5 85.000 (83.191) Epoch: [65][5550/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.7275 (1.7259) Prec@1 56.875 (54.032) Prec@5 83.125 (83.190) Epoch: [65][5560/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.6814 (1.7259) Prec@1 55.625 (54.031) Prec@5 85.000 (83.191) Epoch: [65][5570/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.8308 (1.7260) Prec@1 53.125 (54.033) Prec@5 80.625 (83.189) Epoch: [65][5580/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.5310 (1.7259) Prec@1 58.125 (54.034) Prec@5 87.500 (83.191) Epoch: [65][5590/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.5934 (1.7258) Prec@1 56.875 (54.034) Prec@5 82.500 (83.191) Epoch: [65][5600/11272] Time 0.748 (0.774) Data 0.002 (0.002) Loss 1.7300 (1.7257) Prec@1 55.625 (54.039) Prec@5 85.625 (83.191) Epoch: [65][5610/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.5618 (1.7257) Prec@1 56.250 (54.039) Prec@5 85.625 (83.192) Epoch: [65][5620/11272] Time 0.794 (0.774) Data 0.001 (0.002) Loss 1.8390 (1.7257) Prec@1 51.250 (54.038) Prec@5 81.875 (83.194) Epoch: [65][5630/11272] Time 0.795 (0.774) Data 0.001 (0.002) Loss 1.7839 (1.7257) Prec@1 55.000 (54.037) Prec@5 84.375 (83.192) Epoch: [65][5640/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8583 (1.7259) Prec@1 45.000 (54.033) Prec@5 81.250 (83.190) Epoch: [65][5650/11272] Time 0.764 (0.774) Data 0.001 (0.002) Loss 1.8710 (1.7259) Prec@1 51.875 (54.035) Prec@5 79.375 (83.189) Epoch: [65][5660/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.7885 (1.7258) Prec@1 51.875 (54.041) Prec@5 80.625 (83.190) Epoch: [65][5670/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.7684 (1.7258) Prec@1 48.125 (54.040) Prec@5 82.500 (83.190) Epoch: [65][5680/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.8712 (1.7259) Prec@1 48.125 (54.038) Prec@5 80.000 (83.187) Epoch: [65][5690/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.8947 (1.7261) Prec@1 52.500 (54.036) Prec@5 83.125 (83.185) Epoch: [65][5700/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.9013 (1.7260) Prec@1 52.500 (54.040) Prec@5 80.625 (83.186) Epoch: [65][5710/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.8035 (1.7259) Prec@1 51.250 (54.040) Prec@5 80.625 (83.187) Epoch: [65][5720/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.9278 (1.7260) Prec@1 49.375 (54.038) Prec@5 77.500 (83.186) Epoch: [65][5730/11272] Time 0.864 (0.774) Data 0.002 (0.002) Loss 1.7469 (1.7262) Prec@1 50.000 (54.036) Prec@5 83.750 (83.182) Epoch: [65][5740/11272] Time 0.791 (0.774) Data 0.001 (0.002) Loss 1.8631 (1.7262) Prec@1 47.500 (54.030) Prec@5 78.125 (83.182) Epoch: [65][5750/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.6431 (1.7263) Prec@1 55.625 (54.027) Prec@5 85.625 (83.181) Epoch: [65][5760/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.7122 (1.7263) Prec@1 56.250 (54.028) Prec@5 84.375 (83.181) Epoch: [65][5770/11272] Time 0.797 (0.774) Data 0.001 (0.002) Loss 1.5517 (1.7263) Prec@1 59.375 (54.027) Prec@5 88.750 (83.181) Epoch: [65][5780/11272] Time 0.742 (0.774) Data 0.003 (0.002) Loss 1.6370 (1.7263) Prec@1 57.500 (54.030) Prec@5 83.125 (83.182) Epoch: [65][5790/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.8556 (1.7263) Prec@1 51.250 (54.032) Prec@5 81.875 (83.183) Epoch: [65][5800/11272] Time 0.862 (0.774) Data 0.002 (0.002) Loss 1.6865 (1.7264) Prec@1 53.750 (54.027) Prec@5 84.375 (83.181) Epoch: [65][5810/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.8230 (1.7265) Prec@1 53.750 (54.027) Prec@5 80.000 (83.181) Epoch: [65][5820/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7406 (1.7265) Prec@1 53.750 (54.026) Prec@5 83.750 (83.182) Epoch: [65][5830/11272] Time 0.683 (0.774) Data 0.001 (0.002) Loss 1.9132 (1.7264) Prec@1 49.375 (54.025) Prec@5 78.750 (83.183) Epoch: [65][5840/11272] Time 0.875 (0.774) Data 0.002 (0.002) Loss 1.6058 (1.7264) Prec@1 58.125 (54.024) Prec@5 86.875 (83.187) Epoch: [65][5850/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.8282 (1.7266) Prec@1 52.500 (54.022) Prec@5 82.500 (83.183) Epoch: [65][5860/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7215 (1.7265) Prec@1 47.500 (54.021) Prec@5 84.375 (83.184) Epoch: [65][5870/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.6640 (1.7264) Prec@1 55.000 (54.023) Prec@5 81.250 (83.185) Epoch: [65][5880/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.5995 (1.7265) Prec@1 55.625 (54.020) Prec@5 86.250 (83.185) Epoch: [65][5890/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.7359 (1.7265) Prec@1 52.500 (54.018) Prec@5 86.875 (83.185) Epoch: [65][5900/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7638 (1.7266) Prec@1 52.500 (54.015) Prec@5 83.125 (83.186) Epoch: [65][5910/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.8349 (1.7265) Prec@1 49.375 (54.016) Prec@5 83.125 (83.187) Epoch: [65][5920/11272] Time 0.788 (0.774) Data 0.001 (0.002) Loss 1.5312 (1.7265) Prec@1 59.375 (54.017) Prec@5 85.000 (83.188) Epoch: [65][5930/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7907 (1.7265) Prec@1 47.500 (54.015) Prec@5 80.000 (83.187) Epoch: [65][5940/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6200 (1.7266) Prec@1 50.000 (54.012) Prec@5 85.625 (83.186) Epoch: [65][5950/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.7526 (1.7266) Prec@1 50.000 (54.010) Prec@5 85.000 (83.186) Epoch: [65][5960/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.7836 (1.7267) Prec@1 53.750 (54.010) Prec@5 83.125 (83.185) Epoch: [65][5970/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.7565 (1.7266) Prec@1 56.875 (54.011) Prec@5 78.125 (83.184) Epoch: [65][5980/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5906 (1.7267) Prec@1 55.000 (54.007) Prec@5 83.750 (83.185) Epoch: [65][5990/11272] Time 0.828 (0.774) Data 0.002 (0.002) Loss 1.6617 (1.7266) Prec@1 55.625 (54.011) Prec@5 86.250 (83.187) Epoch: [65][6000/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.5035 (1.7266) Prec@1 60.000 (54.012) Prec@5 86.875 (83.187) Epoch: [65][6010/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.9033 (1.7266) Prec@1 53.125 (54.011) Prec@5 75.625 (83.187) Epoch: [65][6020/11272] Time 0.702 (0.774) Data 0.001 (0.002) Loss 1.8977 (1.7266) Prec@1 47.500 (54.010) Prec@5 84.375 (83.187) Epoch: [65][6030/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 1.8470 (1.7267) Prec@1 52.500 (54.010) Prec@5 80.000 (83.185) Epoch: [65][6040/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.9014 (1.7268) Prec@1 53.125 (54.010) Prec@5 83.125 (83.185) Epoch: [65][6050/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6263 (1.7267) Prec@1 58.125 (54.014) Prec@5 82.500 (83.185) Epoch: [65][6060/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.6950 (1.7268) Prec@1 54.375 (54.011) Prec@5 84.375 (83.182) Epoch: [65][6070/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.4389 (1.7267) Prec@1 56.875 (54.011) Prec@5 86.250 (83.185) Epoch: [65][6080/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.8672 (1.7268) Prec@1 50.000 (54.010) Prec@5 82.500 (83.187) Epoch: [65][6090/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7470 (1.7267) Prec@1 53.750 (54.010) Prec@5 82.500 (83.186) Epoch: [65][6100/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.6959 (1.7268) Prec@1 53.125 (54.007) Prec@5 82.500 (83.184) Epoch: [65][6110/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.4723 (1.7268) Prec@1 55.625 (54.007) Prec@5 85.625 (83.183) Epoch: [65][6120/11272] Time 0.709 (0.774) Data 0.002 (0.002) Loss 1.7109 (1.7268) Prec@1 55.625 (54.008) Prec@5 82.500 (83.183) Epoch: [65][6130/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.6019 (1.7268) Prec@1 56.875 (54.007) Prec@5 86.875 (83.184) Epoch: [65][6140/11272] Time 0.866 (0.774) Data 0.002 (0.002) Loss 1.8261 (1.7268) Prec@1 52.500 (54.007) Prec@5 79.375 (83.182) Epoch: [65][6150/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.8257 (1.7268) Prec@1 54.375 (54.006) Prec@5 81.875 (83.184) Epoch: [65][6160/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.6131 (1.7267) Prec@1 53.125 (54.009) Prec@5 84.375 (83.186) Epoch: [65][6170/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.6447 (1.7266) Prec@1 53.125 (54.009) Prec@5 85.625 (83.188) Epoch: [65][6180/11272] Time 0.786 (0.774) Data 0.001 (0.002) Loss 1.7218 (1.7267) Prec@1 51.875 (54.006) Prec@5 83.750 (83.187) Epoch: [65][6190/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.7268 (1.7266) Prec@1 56.875 (54.008) Prec@5 83.125 (83.188) Epoch: [65][6200/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6178 (1.7265) Prec@1 56.250 (54.012) Prec@5 85.000 (83.191) Epoch: [65][6210/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.5405 (1.7265) Prec@1 57.500 (54.012) Prec@5 85.000 (83.192) Epoch: [65][6220/11272] Time 0.866 (0.774) Data 0.001 (0.002) Loss 1.8526 (1.7265) Prec@1 48.125 (54.012) Prec@5 81.250 (83.193) Epoch: [65][6230/11272] Time 0.737 (0.774) Data 0.001 (0.002) Loss 1.8298 (1.7264) Prec@1 52.500 (54.013) Prec@5 82.500 (83.195) Epoch: [65][6240/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8297 (1.7265) Prec@1 50.625 (54.009) Prec@5 81.875 (83.193) Epoch: [65][6250/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.9430 (1.7265) Prec@1 51.875 (54.012) Prec@5 76.875 (83.192) Epoch: [65][6260/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.6219 (1.7265) Prec@1 56.875 (54.009) Prec@5 85.625 (83.194) Epoch: [65][6270/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.8264 (1.7265) Prec@1 55.625 (54.008) Prec@5 83.125 (83.195) Epoch: [65][6280/11272] Time 0.723 (0.774) Data 0.002 (0.002) Loss 1.5592 (1.7265) Prec@1 56.875 (54.008) Prec@5 84.375 (83.193) Epoch: [65][6290/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.7674 (1.7266) Prec@1 47.500 (54.005) Prec@5 84.375 (83.193) Epoch: [65][6300/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.7670 (1.7266) Prec@1 48.125 (54.004) Prec@5 86.250 (83.195) Epoch: [65][6310/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.4530 (1.7264) Prec@1 57.500 (54.007) Prec@5 90.625 (83.197) Epoch: [65][6320/11272] Time 0.765 (0.774) Data 0.001 (0.002) Loss 1.5312 (1.7263) Prec@1 53.125 (54.007) Prec@5 85.625 (83.199) Epoch: [65][6330/11272] Time 0.858 (0.774) Data 0.002 (0.002) Loss 1.7417 (1.7263) Prec@1 48.750 (54.007) Prec@5 84.375 (83.199) Epoch: [65][6340/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.5715 (1.7263) Prec@1 62.500 (54.007) Prec@5 86.875 (83.200) Epoch: [65][6350/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7331 (1.7264) Prec@1 53.125 (54.005) Prec@5 81.250 (83.199) Epoch: [65][6360/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.8265 (1.7265) Prec@1 54.375 (54.003) Prec@5 83.125 (83.198) Epoch: [65][6370/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.5979 (1.7264) Prec@1 55.000 (54.007) Prec@5 84.375 (83.200) Epoch: [65][6380/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.7495 (1.7264) Prec@1 49.375 (54.005) Prec@5 85.000 (83.200) Epoch: [65][6390/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.3139 (1.7263) Prec@1 63.125 (54.008) Prec@5 89.375 (83.200) Epoch: [65][6400/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.6004 (1.7263) Prec@1 54.375 (54.007) Prec@5 86.875 (83.201) Epoch: [65][6410/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.7455 (1.7263) Prec@1 51.250 (54.005) Prec@5 81.250 (83.200) Epoch: [65][6420/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.5992 (1.7262) Prec@1 61.250 (54.005) Prec@5 80.625 (83.201) Epoch: [65][6430/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7295 (1.7263) Prec@1 50.000 (54.006) Prec@5 81.875 (83.199) Epoch: [65][6440/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.9217 (1.7263) Prec@1 48.750 (54.003) Prec@5 80.625 (83.196) Epoch: [65][6450/11272] Time 0.719 (0.774) Data 0.003 (0.002) Loss 1.7240 (1.7265) Prec@1 51.250 (54.000) Prec@5 83.125 (83.195) Epoch: [65][6460/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.6371 (1.7264) Prec@1 58.750 (54.002) Prec@5 84.375 (83.196) Epoch: [65][6470/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6732 (1.7264) Prec@1 55.625 (54.000) Prec@5 83.750 (83.194) Epoch: [65][6480/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.6431 (1.7264) Prec@1 51.250 (54.002) Prec@5 83.125 (83.195) Epoch: [65][6490/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5696 (1.7263) Prec@1 55.000 (54.002) Prec@5 88.750 (83.196) Epoch: [65][6500/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.4558 (1.7262) Prec@1 57.500 (54.004) Prec@5 89.375 (83.198) Epoch: [65][6510/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.6487 (1.7262) Prec@1 56.250 (54.005) Prec@5 85.000 (83.199) Epoch: [65][6520/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.4928 (1.7260) Prec@1 63.125 (54.007) Prec@5 81.875 (83.201) Epoch: [65][6530/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.5198 (1.7260) Prec@1 54.375 (54.008) Prec@5 85.625 (83.202) Epoch: [65][6540/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.8221 (1.7259) Prec@1 51.875 (54.008) Prec@5 81.250 (83.204) Epoch: [65][6550/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.8532 (1.7259) Prec@1 50.625 (54.008) Prec@5 81.875 (83.205) Epoch: [65][6560/11272] Time 0.831 (0.773) Data 0.001 (0.002) Loss 1.7326 (1.7258) Prec@1 58.125 (54.009) Prec@5 81.875 (83.204) Epoch: [65][6570/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.4972 (1.7259) Prec@1 57.500 (54.008) Prec@5 87.500 (83.205) Epoch: [65][6580/11272] Time 0.869 (0.773) Data 0.001 (0.002) Loss 1.6525 (1.7258) Prec@1 54.375 (54.008) Prec@5 84.375 (83.205) Epoch: [65][6590/11272] Time 0.858 (0.773) Data 0.001 (0.002) Loss 1.7212 (1.7260) Prec@1 51.875 (54.004) Prec@5 83.750 (83.204) Epoch: [65][6600/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.7478 (1.7259) Prec@1 47.500 (54.005) Prec@5 84.375 (83.207) Epoch: [65][6610/11272] Time 0.717 (0.773) Data 0.002 (0.002) Loss 1.7612 (1.7259) Prec@1 46.250 (54.002) Prec@5 85.000 (83.208) Epoch: [65][6620/11272] Time 0.834 (0.773) Data 0.002 (0.002) Loss 1.7864 (1.7259) Prec@1 53.125 (54.001) Prec@5 82.500 (83.205) Epoch: [65][6630/11272] Time 0.830 (0.773) Data 0.002 (0.002) Loss 1.7389 (1.7258) Prec@1 53.750 (54.004) Prec@5 83.750 (83.209) Epoch: [65][6640/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.5854 (1.7257) Prec@1 58.125 (54.005) Prec@5 85.625 (83.209) Epoch: [65][6650/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.8821 (1.7258) Prec@1 52.500 (54.007) Prec@5 78.125 (83.208) Epoch: [65][6660/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.4678 (1.7257) Prec@1 56.875 (54.007) Prec@5 87.500 (83.208) Epoch: [65][6670/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.6762 (1.7258) Prec@1 56.875 (54.006) Prec@5 84.375 (83.207) Epoch: [65][6680/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.7227 (1.7258) Prec@1 51.875 (54.004) Prec@5 82.500 (83.206) Epoch: [65][6690/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.7424 (1.7257) Prec@1 52.500 (54.004) Prec@5 80.625 (83.209) Epoch: [65][6700/11272] Time 0.842 (0.773) Data 0.001 (0.002) Loss 1.7284 (1.7257) Prec@1 56.875 (54.005) Prec@5 83.125 (83.209) Epoch: [65][6710/11272] Time 0.715 (0.773) Data 0.003 (0.002) Loss 1.6925 (1.7257) Prec@1 51.875 (54.002) Prec@5 86.250 (83.206) Epoch: [65][6720/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.5674 (1.7258) Prec@1 53.750 (54.001) Prec@5 86.250 (83.204) Epoch: [65][6730/11272] Time 0.806 (0.773) Data 0.001 (0.002) Loss 1.6497 (1.7257) Prec@1 48.750 (53.998) Prec@5 84.375 (83.206) Epoch: [65][6740/11272] Time 0.824 (0.773) Data 0.001 (0.002) Loss 1.7823 (1.7259) Prec@1 54.375 (53.995) Prec@5 83.750 (83.203) Epoch: [65][6750/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.5575 (1.7259) Prec@1 55.000 (53.996) Prec@5 86.250 (83.201) Epoch: [65][6760/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.5211 (1.7259) Prec@1 62.500 (53.995) Prec@5 87.500 (83.201) Epoch: [65][6770/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.5671 (1.7259) Prec@1 56.875 (53.996) Prec@5 86.250 (83.199) Epoch: [65][6780/11272] Time 0.804 (0.773) Data 0.001 (0.002) Loss 1.8994 (1.7260) Prec@1 46.875 (53.993) Prec@5 81.250 (83.198) Epoch: [65][6790/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.9316 (1.7260) Prec@1 51.250 (53.993) Prec@5 79.375 (83.197) Epoch: [65][6800/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.5891 (1.7260) Prec@1 58.125 (53.995) Prec@5 85.625 (83.196) Epoch: [65][6810/11272] Time 0.832 (0.773) Data 0.001 (0.002) Loss 1.8004 (1.7261) Prec@1 51.250 (53.994) Prec@5 82.500 (83.195) Epoch: [65][6820/11272] Time 0.788 (0.773) Data 0.001 (0.002) Loss 1.9247 (1.7262) Prec@1 48.125 (53.992) Prec@5 81.250 (83.193) Epoch: [65][6830/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6857 (1.7262) Prec@1 55.625 (53.991) Prec@5 86.250 (83.194) Epoch: [65][6840/11272] Time 0.886 (0.773) Data 0.001 (0.002) Loss 1.6681 (1.7261) Prec@1 60.000 (53.995) Prec@5 84.375 (83.196) Epoch: [65][6850/11272] Time 0.809 (0.773) Data 0.001 (0.002) Loss 1.5445 (1.7260) Prec@1 53.750 (53.994) Prec@5 86.250 (83.197) Epoch: [65][6860/11272] Time 0.700 (0.773) Data 0.001 (0.002) Loss 1.9204 (1.7261) Prec@1 49.375 (53.995) Prec@5 80.000 (83.197) Epoch: [65][6870/11272] Time 0.693 (0.773) Data 0.001 (0.002) Loss 1.7499 (1.7261) Prec@1 55.000 (53.995) Prec@5 80.000 (83.195) Epoch: [65][6880/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.5405 (1.7261) Prec@1 61.875 (53.996) Prec@5 85.625 (83.196) Epoch: [65][6890/11272] Time 0.844 (0.773) Data 0.002 (0.002) Loss 1.5233 (1.7259) Prec@1 58.125 (53.999) Prec@5 88.750 (83.199) Epoch: [65][6900/11272] Time 0.737 (0.773) Data 0.001 (0.002) Loss 1.5760 (1.7259) Prec@1 57.500 (54.000) Prec@5 83.750 (83.199) Epoch: [65][6910/11272] Time 0.750 (0.773) Data 0.001 (0.002) Loss 1.7647 (1.7260) Prec@1 53.125 (53.999) Prec@5 81.875 (83.199) Epoch: [65][6920/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.6058 (1.7261) Prec@1 57.500 (53.998) Prec@5 86.250 (83.198) Epoch: [65][6930/11272] Time 0.799 (0.773) Data 0.001 (0.002) Loss 1.6383 (1.7260) Prec@1 52.500 (53.997) Prec@5 86.250 (83.200) Epoch: [65][6940/11272] Time 0.729 (0.773) Data 0.002 (0.002) Loss 1.8620 (1.7260) Prec@1 51.875 (53.995) Prec@5 81.875 (83.203) Epoch: [65][6950/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.9493 (1.7260) Prec@1 51.875 (53.994) Prec@5 78.750 (83.203) Epoch: [65][6960/11272] Time 0.813 (0.773) Data 0.001 (0.002) Loss 1.6046 (1.7259) Prec@1 53.125 (53.994) Prec@5 88.125 (83.204) Epoch: [65][6970/11272] Time 0.820 (0.773) Data 0.002 (0.002) Loss 1.8102 (1.7258) Prec@1 53.750 (53.996) Prec@5 80.625 (83.205) Epoch: [65][6980/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.7180 (1.7259) Prec@1 50.625 (53.992) Prec@5 83.750 (83.203) Epoch: [65][6990/11272] Time 0.799 (0.773) Data 0.001 (0.002) Loss 1.6721 (1.7260) Prec@1 50.625 (53.987) Prec@5 85.000 (83.201) Epoch: [65][7000/11272] Time 0.834 (0.773) Data 0.001 (0.002) Loss 1.7713 (1.7261) Prec@1 52.500 (53.987) Prec@5 83.125 (83.200) Epoch: [65][7010/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.5972 (1.7260) Prec@1 54.375 (53.988) Prec@5 83.750 (83.203) Epoch: [65][7020/11272] Time 0.686 (0.773) Data 0.001 (0.002) Loss 1.6073 (1.7260) Prec@1 55.000 (53.985) Prec@5 85.000 (83.204) Epoch: [65][7030/11272] Time 0.854 (0.773) Data 0.001 (0.002) Loss 1.7340 (1.7261) Prec@1 53.125 (53.983) Prec@5 83.750 (83.202) Epoch: [65][7040/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.8410 (1.7261) Prec@1 49.375 (53.982) Prec@5 81.250 (83.201) Epoch: [65][7050/11272] Time 0.701 (0.773) Data 0.001 (0.002) Loss 1.4699 (1.7259) Prec@1 59.375 (53.987) Prec@5 90.000 (83.204) Epoch: [65][7060/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.7380 (1.7259) Prec@1 50.625 (53.987) Prec@5 83.125 (83.205) Epoch: [65][7070/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.6172 (1.7258) Prec@1 58.750 (53.990) Prec@5 84.375 (83.205) Epoch: [65][7080/11272] Time 0.865 (0.773) Data 0.001 (0.002) Loss 1.6650 (1.7257) Prec@1 48.750 (53.992) Prec@5 85.625 (83.205) Epoch: [65][7090/11272] Time 0.713 (0.773) Data 0.002 (0.002) Loss 1.8257 (1.7258) Prec@1 50.000 (53.993) Prec@5 81.875 (83.204) Epoch: [65][7100/11272] Time 0.802 (0.773) Data 0.001 (0.002) Loss 1.9357 (1.7259) Prec@1 50.000 (53.992) Prec@5 80.000 (83.204) Epoch: [65][7110/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.7790 (1.7258) Prec@1 56.875 (53.993) Prec@5 82.500 (83.205) Epoch: [65][7120/11272] Time 0.699 (0.773) Data 0.001 (0.002) Loss 1.5635 (1.7258) Prec@1 62.500 (53.996) Prec@5 82.500 (83.205) Epoch: [65][7130/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8425 (1.7257) Prec@1 51.875 (53.997) Prec@5 81.875 (83.205) Epoch: [65][7140/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.7237 (1.7257) Prec@1 53.125 (53.995) Prec@5 83.125 (83.204) Epoch: [65][7150/11272] Time 0.916 (0.773) Data 0.002 (0.002) Loss 1.7610 (1.7257) Prec@1 50.625 (53.994) Prec@5 83.750 (83.203) Epoch: [65][7160/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.9019 (1.7258) Prec@1 51.250 (53.996) Prec@5 79.375 (83.201) Epoch: [65][7170/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.8456 (1.7258) Prec@1 50.000 (53.995) Prec@5 82.500 (83.200) Epoch: [65][7180/11272] Time 0.806 (0.773) Data 0.002 (0.002) Loss 1.9321 (1.7259) Prec@1 45.625 (53.995) Prec@5 76.875 (83.198) Epoch: [65][7190/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.9578 (1.7259) Prec@1 53.125 (53.994) Prec@5 77.500 (83.197) Epoch: [65][7200/11272] Time 0.727 (0.773) Data 0.002 (0.002) Loss 1.8014 (1.7259) Prec@1 55.625 (53.993) Prec@5 80.000 (83.197) Epoch: [65][7210/11272] Time 0.731 (0.773) Data 0.002 (0.002) Loss 1.8890 (1.7260) Prec@1 54.375 (53.993) Prec@5 81.250 (83.195) Epoch: [65][7220/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.5794 (1.7259) Prec@1 57.500 (53.993) Prec@5 85.625 (83.197) Epoch: [65][7230/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.9480 (1.7260) Prec@1 44.375 (53.990) Prec@5 80.000 (83.197) Epoch: [65][7240/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.7713 (1.7260) Prec@1 50.625 (53.989) Prec@5 81.250 (83.199) Epoch: [65][7250/11272] Time 0.853 (0.773) Data 0.001 (0.002) Loss 1.6628 (1.7260) Prec@1 51.250 (53.986) Prec@5 85.000 (83.199) Epoch: [65][7260/11272] Time 0.811 (0.773) Data 0.002 (0.002) Loss 1.7640 (1.7259) Prec@1 51.875 (53.989) Prec@5 81.250 (83.200) Epoch: [65][7270/11272] Time 0.736 (0.773) Data 0.001 (0.002) Loss 1.8355 (1.7260) Prec@1 53.750 (53.989) Prec@5 85.000 (83.199) Epoch: [65][7280/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6258 (1.7259) Prec@1 53.125 (53.993) Prec@5 83.125 (83.199) Epoch: [65][7290/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.7152 (1.7259) Prec@1 58.125 (53.994) Prec@5 82.500 (83.198) Epoch: [65][7300/11272] Time 0.802 (0.773) Data 0.001 (0.002) Loss 1.6359 (1.7259) Prec@1 59.375 (53.995) Prec@5 85.000 (83.198) Epoch: [65][7310/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.8535 (1.7260) Prec@1 48.750 (53.991) Prec@5 83.125 (83.196) Epoch: [65][7320/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 2.0061 (1.7259) Prec@1 48.125 (53.991) Prec@5 80.000 (83.197) Epoch: [65][7330/11272] Time 0.842 (0.773) Data 0.002 (0.002) Loss 1.8183 (1.7260) Prec@1 52.500 (53.988) Prec@5 81.250 (83.196) Epoch: [65][7340/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.8073 (1.7260) Prec@1 56.875 (53.986) Prec@5 80.625 (83.194) Epoch: [65][7350/11272] Time 0.703 (0.773) Data 0.001 (0.002) Loss 1.4482 (1.7259) Prec@1 60.000 (53.988) Prec@5 88.125 (83.196) Epoch: [65][7360/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6248 (1.7260) Prec@1 59.375 (53.987) Prec@5 84.375 (83.194) Epoch: [65][7370/11272] Time 0.858 (0.774) Data 0.001 (0.002) Loss 1.9609 (1.7260) Prec@1 47.500 (53.984) Prec@5 78.750 (83.193) Epoch: [65][7380/11272] Time 0.710 (0.774) Data 0.003 (0.002) Loss 1.8500 (1.7259) Prec@1 52.500 (53.987) Prec@5 78.750 (83.194) Epoch: [65][7390/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5277 (1.7260) Prec@1 56.875 (53.986) Prec@5 86.250 (83.193) Epoch: [65][7400/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.5720 (1.7259) Prec@1 54.375 (53.987) Prec@5 86.250 (83.193) Epoch: [65][7410/11272] Time 0.890 (0.774) Data 0.001 (0.002) Loss 1.7242 (1.7260) Prec@1 55.625 (53.985) Prec@5 79.375 (83.191) Epoch: [65][7420/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.8656 (1.7260) Prec@1 50.000 (53.984) Prec@5 81.875 (83.190) Epoch: [65][7430/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.8200 (1.7260) Prec@1 49.375 (53.983) Prec@5 81.875 (83.190) Epoch: [65][7440/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.6558 (1.7260) Prec@1 54.375 (53.982) Prec@5 81.875 (83.191) Epoch: [65][7450/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.7463 (1.7260) Prec@1 51.250 (53.983) Prec@5 81.875 (83.191) Epoch: [65][7460/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.7745 (1.7259) Prec@1 53.125 (53.986) Prec@5 78.750 (83.190) Epoch: [65][7470/11272] Time 0.722 (0.774) Data 0.002 (0.002) Loss 1.8387 (1.7260) Prec@1 50.625 (53.985) Prec@5 81.250 (83.188) Epoch: [65][7480/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.7073 (1.7260) Prec@1 56.250 (53.988) Prec@5 88.125 (83.189) Epoch: [65][7490/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.6217 (1.7260) Prec@1 60.000 (53.988) Prec@5 85.625 (83.188) Epoch: [65][7500/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6385 (1.7260) Prec@1 56.250 (53.988) Prec@5 86.875 (83.187) Epoch: [65][7510/11272] Time 0.877 (0.774) Data 0.001 (0.002) Loss 1.7387 (1.7260) Prec@1 51.875 (53.988) Prec@5 85.625 (83.189) Epoch: [65][7520/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.6851 (1.7260) Prec@1 55.000 (53.986) Prec@5 87.500 (83.188) Epoch: [65][7530/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.9035 (1.7260) Prec@1 46.250 (53.987) Prec@5 81.250 (83.189) Epoch: [65][7540/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.8595 (1.7261) Prec@1 52.500 (53.986) Prec@5 82.500 (83.191) Epoch: [65][7550/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.9624 (1.7261) Prec@1 48.750 (53.985) Prec@5 80.000 (83.190) Epoch: [65][7560/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.9959 (1.7261) Prec@1 50.625 (53.985) Prec@5 79.375 (83.189) Epoch: [65][7570/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.7468 (1.7262) Prec@1 47.500 (53.983) Prec@5 83.750 (83.188) Epoch: [65][7580/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.9611 (1.7262) Prec@1 49.375 (53.984) Prec@5 77.500 (83.188) Epoch: [65][7590/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.7345 (1.7262) Prec@1 55.000 (53.985) Prec@5 82.500 (83.189) Epoch: [65][7600/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.7407 (1.7262) Prec@1 49.375 (53.985) Prec@5 84.375 (83.187) Epoch: [65][7610/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8012 (1.7263) Prec@1 52.500 (53.985) Prec@5 84.375 (83.186) Epoch: [65][7620/11272] Time 0.724 (0.773) Data 0.001 (0.002) Loss 1.6701 (1.7262) Prec@1 58.125 (53.987) Prec@5 84.375 (83.187) Epoch: [65][7630/11272] Time 0.880 (0.773) Data 0.003 (0.002) Loss 1.7076 (1.7263) Prec@1 56.875 (53.986) Prec@5 85.625 (83.186) Epoch: [65][7640/11272] Time 0.714 (0.773) Data 0.002 (0.002) Loss 1.9194 (1.7264) Prec@1 51.875 (53.985) Prec@5 80.000 (83.184) Epoch: [65][7650/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.7345 (1.7264) Prec@1 56.250 (53.985) Prec@5 86.250 (83.186) Epoch: [65][7660/11272] Time 0.844 (0.773) Data 0.002 (0.002) Loss 1.8601 (1.7265) Prec@1 52.500 (53.983) Prec@5 80.000 (83.187) Epoch: [65][7670/11272] Time 0.808 (0.773) Data 0.002 (0.002) Loss 1.9275 (1.7265) Prec@1 50.625 (53.983) Prec@5 78.125 (83.186) Epoch: [65][7680/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.5297 (1.7265) Prec@1 58.125 (53.985) Prec@5 86.250 (83.186) Epoch: [65][7690/11272] Time 0.706 (0.773) Data 0.002 (0.002) Loss 1.8083 (1.7265) Prec@1 53.125 (53.985) Prec@5 79.375 (83.186) Epoch: [65][7700/11272] Time 0.828 (0.773) Data 0.002 (0.002) Loss 1.6183 (1.7264) Prec@1 60.625 (53.987) Prec@5 83.125 (83.188) Epoch: [65][7710/11272] Time 0.872 (0.774) Data 0.002 (0.002) Loss 1.6137 (1.7263) Prec@1 59.375 (53.988) Prec@5 82.500 (83.189) Epoch: [65][7720/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.9607 (1.7263) Prec@1 44.375 (53.989) Prec@5 76.875 (83.189) Epoch: [65][7730/11272] Time 0.713 (0.773) Data 0.002 (0.002) Loss 2.0689 (1.7264) Prec@1 48.750 (53.990) Prec@5 76.875 (83.186) Epoch: [65][7740/11272] Time 0.871 (0.774) Data 0.002 (0.002) Loss 1.6597 (1.7264) Prec@1 56.875 (53.992) Prec@5 85.625 (83.185) Epoch: [65][7750/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.8857 (1.7264) Prec@1 50.625 (53.992) Prec@5 83.125 (83.185) Epoch: [65][7760/11272] Time 0.774 (0.773) Data 0.001 (0.002) Loss 1.9980 (1.7264) Prec@1 46.875 (53.992) Prec@5 78.125 (83.185) Epoch: [65][7770/11272] Time 0.870 (0.774) Data 0.003 (0.002) Loss 1.6925 (1.7264) Prec@1 54.375 (53.991) Prec@5 84.375 (83.185) Epoch: [65][7780/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.8481 (1.7265) Prec@1 49.375 (53.990) Prec@5 80.625 (83.183) Epoch: [65][7790/11272] Time 0.773 (0.774) Data 0.001 (0.002) Loss 1.7333 (1.7266) Prec@1 52.500 (53.988) Prec@5 84.375 (83.181) Epoch: [65][7800/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.8685 (1.7265) Prec@1 53.125 (53.988) Prec@5 79.375 (83.182) Epoch: [65][7810/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.8329 (1.7265) Prec@1 53.125 (53.988) Prec@5 79.375 (83.180) Epoch: [65][7820/11272] Time 0.880 (0.774) Data 0.001 (0.002) Loss 1.6349 (1.7265) Prec@1 54.375 (53.986) Prec@5 86.250 (83.180) Epoch: [65][7830/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.7383 (1.7265) Prec@1 55.000 (53.987) Prec@5 81.875 (83.180) Epoch: [65][7840/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.8320 (1.7265) Prec@1 50.625 (53.987) Prec@5 82.500 (83.181) Epoch: [65][7850/11272] Time 0.792 (0.773) Data 0.001 (0.002) Loss 1.8168 (1.7265) Prec@1 49.375 (53.987) Prec@5 81.875 (83.182) Epoch: [65][7860/11272] Time 0.806 (0.773) Data 0.001 (0.002) Loss 1.8189 (1.7265) Prec@1 50.625 (53.988) Prec@5 80.000 (83.182) Epoch: [65][7870/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.5877 (1.7265) Prec@1 60.625 (53.988) Prec@5 83.125 (83.180) Epoch: [65][7880/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.5710 (1.7265) Prec@1 57.500 (53.987) Prec@5 86.875 (83.180) Epoch: [65][7890/11272] Time 0.848 (0.773) Data 0.001 (0.002) Loss 1.7146 (1.7265) Prec@1 51.250 (53.986) Prec@5 85.000 (83.179) Epoch: [65][7900/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.8326 (1.7265) Prec@1 50.000 (53.985) Prec@5 81.875 (83.177) Epoch: [65][7910/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.8207 (1.7266) Prec@1 55.000 (53.987) Prec@5 80.000 (83.178) Epoch: [65][7920/11272] Time 0.813 (0.773) Data 0.001 (0.002) Loss 1.6647 (1.7267) Prec@1 57.500 (53.987) Prec@5 82.500 (83.176) Epoch: [65][7930/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.8403 (1.7267) Prec@1 53.750 (53.986) Prec@5 82.500 (83.177) Epoch: [65][7940/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 2.0371 (1.7266) Prec@1 50.000 (53.987) Prec@5 78.125 (83.176) Epoch: [65][7950/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.6698 (1.7266) Prec@1 60.000 (53.988) Prec@5 82.500 (83.177) Epoch: [65][7960/11272] Time 0.845 (0.773) Data 0.001 (0.002) Loss 1.6333 (1.7265) Prec@1 55.625 (53.989) Prec@5 88.750 (83.179) Epoch: [65][7970/11272] Time 0.841 (0.773) Data 0.001 (0.002) Loss 1.9321 (1.7266) Prec@1 46.875 (53.988) Prec@5 80.625 (83.179) Epoch: [65][7980/11272] Time 0.758 (0.773) Data 0.002 (0.002) Loss 1.8227 (1.7266) Prec@1 51.250 (53.988) Prec@5 83.750 (83.179) Epoch: [65][7990/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.7620 (1.7266) Prec@1 51.875 (53.989) Prec@5 82.500 (83.179) Epoch: [65][8000/11272] Time 0.848 (0.773) Data 0.002 (0.002) Loss 1.6869 (1.7265) Prec@1 51.875 (53.988) Prec@5 84.375 (83.179) Epoch: [65][8010/11272] Time 0.847 (0.773) Data 0.001 (0.002) Loss 1.9511 (1.7265) Prec@1 52.500 (53.990) Prec@5 82.500 (83.180) Epoch: [65][8020/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.8732 (1.7266) Prec@1 53.750 (53.989) Prec@5 78.750 (83.177) Epoch: [65][8030/11272] Time 0.731 (0.773) Data 0.001 (0.002) Loss 1.6453 (1.7266) Prec@1 54.375 (53.988) Prec@5 83.125 (83.177) Epoch: [65][8040/11272] Time 0.774 (0.773) Data 0.001 (0.002) Loss 1.6676 (1.7266) Prec@1 51.875 (53.986) Prec@5 85.625 (83.178) Epoch: [65][8050/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.8573 (1.7267) Prec@1 51.250 (53.987) Prec@5 80.000 (83.177) Epoch: [65][8060/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.8510 (1.7267) Prec@1 52.500 (53.988) Prec@5 79.375 (83.176) Epoch: [65][8070/11272] Time 0.853 (0.773) Data 0.001 (0.002) Loss 2.0654 (1.7268) Prec@1 48.750 (53.988) Prec@5 80.000 (83.177) Epoch: [65][8080/11272] Time 0.794 (0.773) Data 0.001 (0.002) Loss 1.7804 (1.7268) Prec@1 53.750 (53.987) Prec@5 82.500 (83.177) Epoch: [65][8090/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8651 (1.7268) Prec@1 51.875 (53.988) Prec@5 83.125 (83.176) Epoch: [65][8100/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.7946 (1.7268) Prec@1 52.500 (53.989) Prec@5 81.875 (83.177) Epoch: [65][8110/11272] Time 0.824 (0.773) Data 0.001 (0.002) Loss 1.7582 (1.7268) Prec@1 54.375 (53.989) Prec@5 83.750 (83.179) Epoch: [65][8120/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.8548 (1.7268) Prec@1 53.750 (53.989) Prec@5 80.000 (83.180) Epoch: [65][8130/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.8801 (1.7267) Prec@1 50.625 (53.990) Prec@5 80.625 (83.181) Epoch: [65][8140/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6609 (1.7267) Prec@1 60.000 (53.990) Prec@5 87.500 (83.182) Epoch: [65][8150/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.4326 (1.7267) Prec@1 56.875 (53.991) Prec@5 85.625 (83.183) Epoch: [65][8160/11272] Time 0.806 (0.773) Data 0.001 (0.002) Loss 1.7206 (1.7267) Prec@1 53.750 (53.991) Prec@5 83.750 (83.183) Epoch: [65][8170/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.5538 (1.7267) Prec@1 56.875 (53.991) Prec@5 84.375 (83.183) Epoch: [65][8180/11272] Time 0.800 (0.773) Data 0.001 (0.002) Loss 1.7757 (1.7266) Prec@1 53.125 (53.991) Prec@5 81.875 (83.183) Epoch: [65][8190/11272] Time 0.774 (0.773) Data 0.001 (0.002) Loss 1.9930 (1.7267) Prec@1 50.000 (53.986) Prec@5 76.875 (83.181) Epoch: [65][8200/11272] Time 0.724 (0.773) Data 0.001 (0.002) Loss 1.7331 (1.7268) Prec@1 55.625 (53.985) Prec@5 84.375 (83.182) Epoch: [65][8210/11272] Time 0.740 (0.773) Data 0.001 (0.002) Loss 1.7141 (1.7267) Prec@1 54.375 (53.986) Prec@5 81.875 (83.181) Epoch: [65][8220/11272] Time 0.864 (0.773) Data 0.002 (0.002) Loss 1.7343 (1.7267) Prec@1 53.750 (53.987) Prec@5 83.125 (83.181) Epoch: [65][8230/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.7069 (1.7268) Prec@1 55.625 (53.985) Prec@5 82.500 (83.180) Epoch: [65][8240/11272] Time 0.731 (0.773) Data 0.001 (0.002) Loss 1.6960 (1.7269) Prec@1 57.500 (53.984) Prec@5 83.125 (83.179) Epoch: [65][8250/11272] Time 0.740 (0.773) Data 0.001 (0.002) Loss 1.6984 (1.7270) Prec@1 53.750 (53.981) Prec@5 82.500 (83.177) Epoch: [65][8260/11272] Time 0.796 (0.773) Data 0.001 (0.002) Loss 1.7006 (1.7270) Prec@1 53.125 (53.982) Prec@5 88.125 (83.178) Epoch: [65][8270/11272] Time 0.785 (0.773) Data 0.001 (0.002) Loss 1.6322 (1.7270) Prec@1 55.625 (53.982) Prec@5 83.750 (83.178) Epoch: [65][8280/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.7516 (1.7271) Prec@1 53.750 (53.979) Prec@5 79.375 (83.175) Epoch: [65][8290/11272] Time 0.696 (0.773) Data 0.001 (0.002) Loss 1.7397 (1.7271) Prec@1 55.625 (53.978) Prec@5 83.125 (83.177) Epoch: [65][8300/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.7668 (1.7270) Prec@1 47.500 (53.979) Prec@5 83.125 (83.177) Epoch: [65][8310/11272] Time 0.756 (0.773) Data 0.001 (0.002) Loss 1.8010 (1.7271) Prec@1 56.875 (53.976) Prec@5 82.500 (83.176) Epoch: [65][8320/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.6783 (1.7270) Prec@1 51.875 (53.978) Prec@5 86.875 (83.177) Epoch: [65][8330/11272] Time 0.816 (0.773) Data 0.001 (0.002) Loss 1.6816 (1.7270) Prec@1 56.250 (53.977) Prec@5 80.625 (83.176) Epoch: [65][8340/11272] Time 0.844 (0.773) Data 0.002 (0.002) Loss 1.4963 (1.7270) Prec@1 56.250 (53.977) Prec@5 87.500 (83.178) Epoch: [65][8350/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.9071 (1.7270) Prec@1 46.875 (53.978) Prec@5 80.000 (83.178) Epoch: [65][8360/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.8894 (1.7270) Prec@1 46.250 (53.976) Prec@5 81.875 (83.176) Epoch: [65][8370/11272] Time 0.825 (0.773) Data 0.002 (0.002) Loss 2.0515 (1.7271) Prec@1 51.875 (53.973) Prec@5 78.750 (83.175) Epoch: [65][8380/11272] Time 0.791 (0.773) Data 0.001 (0.002) Loss 1.8156 (1.7271) Prec@1 48.750 (53.972) Prec@5 80.000 (83.175) Epoch: [65][8390/11272] Time 0.735 (0.773) Data 0.001 (0.002) Loss 1.6073 (1.7271) Prec@1 56.875 (53.970) Prec@5 84.375 (83.177) Epoch: [65][8400/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.7054 (1.7271) Prec@1 53.125 (53.969) Prec@5 86.875 (83.177) Epoch: [65][8410/11272] Time 0.818 (0.773) Data 0.002 (0.002) Loss 1.9679 (1.7271) Prec@1 45.625 (53.970) Prec@5 80.000 (83.177) Epoch: [65][8420/11272] Time 0.837 (0.773) Data 0.002 (0.002) Loss 1.8910 (1.7271) Prec@1 50.000 (53.969) Prec@5 76.875 (83.177) Epoch: [65][8430/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.7576 (1.7272) Prec@1 53.125 (53.967) Prec@5 84.375 (83.176) Epoch: [65][8440/11272] Time 0.881 (0.773) Data 0.001 (0.002) Loss 1.9123 (1.7272) Prec@1 51.250 (53.967) Prec@5 80.625 (83.176) Epoch: [65][8450/11272] Time 0.840 (0.773) Data 0.002 (0.002) Loss 1.8837 (1.7271) Prec@1 53.125 (53.969) Prec@5 83.750 (83.176) Epoch: [65][8460/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.4529 (1.7271) Prec@1 60.625 (53.969) Prec@5 86.875 (83.178) Epoch: [65][8470/11272] Time 0.701 (0.773) Data 0.001 (0.002) Loss 1.6799 (1.7271) Prec@1 58.125 (53.971) Prec@5 82.500 (83.177) Epoch: [65][8480/11272] Time 0.866 (0.773) Data 0.001 (0.002) Loss 1.8888 (1.7272) Prec@1 51.250 (53.970) Prec@5 76.875 (83.175) Epoch: [65][8490/11272] Time 0.837 (0.773) Data 0.001 (0.002) Loss 1.6808 (1.7271) Prec@1 56.875 (53.973) Prec@5 82.500 (83.175) Epoch: [65][8500/11272] Time 0.702 (0.773) Data 0.001 (0.002) Loss 1.8272 (1.7272) Prec@1 51.250 (53.972) Prec@5 80.625 (83.176) Epoch: [65][8510/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.7168 (1.7271) Prec@1 51.250 (53.974) Prec@5 82.500 (83.177) Epoch: [65][8520/11272] Time 0.860 (0.773) Data 0.001 (0.002) Loss 1.5783 (1.7271) Prec@1 56.875 (53.975) Prec@5 83.125 (83.175) Epoch: [65][8530/11272] Time 0.889 (0.773) Data 0.002 (0.002) Loss 1.8688 (1.7272) Prec@1 52.500 (53.973) Prec@5 81.250 (83.174) Epoch: [65][8540/11272] Time 0.729 (0.773) Data 0.001 (0.002) Loss 1.6843 (1.7273) Prec@1 55.000 (53.973) Prec@5 80.625 (83.173) Epoch: [65][8550/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.6821 (1.7273) Prec@1 50.000 (53.972) Prec@5 83.125 (83.171) Epoch: [65][8560/11272] Time 0.855 (0.773) Data 0.001 (0.002) Loss 1.6328 (1.7273) Prec@1 56.250 (53.973) Prec@5 85.625 (83.172) Epoch: [65][8570/11272] Time 0.707 (0.773) Data 0.003 (0.002) Loss 1.8113 (1.7273) Prec@1 52.500 (53.974) Prec@5 81.875 (83.172) Epoch: [65][8580/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.8416 (1.7272) Prec@1 50.000 (53.975) Prec@5 83.125 (83.174) Epoch: [65][8590/11272] Time 0.812 (0.773) Data 0.001 (0.002) Loss 1.7897 (1.7272) Prec@1 51.250 (53.976) Prec@5 81.875 (83.174) Epoch: [65][8600/11272] Time 0.804 (0.773) Data 0.001 (0.002) Loss 1.3665 (1.7272) Prec@1 66.875 (53.976) Prec@5 84.375 (83.174) Epoch: [65][8610/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.4622 (1.7271) Prec@1 58.750 (53.977) Prec@5 87.500 (83.174) Epoch: [65][8620/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.6316 (1.7271) Prec@1 54.375 (53.980) Prec@5 85.625 (83.175) Epoch: [65][8630/11272] Time 0.846 (0.773) Data 0.001 (0.002) Loss 1.6427 (1.7270) Prec@1 50.000 (53.980) Prec@5 86.250 (83.177) Epoch: [65][8640/11272] Time 0.812 (0.773) Data 0.001 (0.002) Loss 1.7286 (1.7269) Prec@1 54.375 (53.983) Prec@5 86.875 (83.178) Epoch: [65][8650/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.5549 (1.7269) Prec@1 56.250 (53.984) Prec@5 86.250 (83.179) Epoch: [65][8660/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.8779 (1.7269) Prec@1 50.625 (53.984) Prec@5 82.500 (83.180) Epoch: [65][8670/11272] Time 0.889 (0.773) Data 0.001 (0.002) Loss 1.6872 (1.7269) Prec@1 54.375 (53.983) Prec@5 85.625 (83.180) Epoch: [65][8680/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 2.0133 (1.7270) Prec@1 46.250 (53.982) Prec@5 78.750 (83.179) Epoch: [65][8690/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.6540 (1.7269) Prec@1 56.875 (53.984) Prec@5 82.500 (83.180) Epoch: [65][8700/11272] Time 0.827 (0.773) Data 0.001 (0.002) Loss 1.6118 (1.7271) Prec@1 53.750 (53.981) Prec@5 86.250 (83.178) Epoch: [65][8710/11272] Time 0.838 (0.773) Data 0.001 (0.002) Loss 1.8108 (1.7271) Prec@1 48.125 (53.981) Prec@5 85.000 (83.178) Epoch: [65][8720/11272] Time 0.723 (0.773) Data 0.001 (0.002) Loss 1.9996 (1.7272) Prec@1 46.250 (53.979) Prec@5 80.000 (83.178) Epoch: [65][8730/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.8873 (1.7271) Prec@1 52.500 (53.981) Prec@5 80.000 (83.178) Epoch: [65][8740/11272] Time 0.827 (0.773) Data 0.001 (0.002) Loss 2.0394 (1.7272) Prec@1 50.000 (53.979) Prec@5 79.375 (83.177) Epoch: [65][8750/11272] Time 0.816 (0.773) Data 0.001 (0.002) Loss 1.5751 (1.7271) Prec@1 60.000 (53.981) Prec@5 85.000 (83.179) Epoch: [65][8760/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.8200 (1.7271) Prec@1 52.500 (53.981) Prec@5 81.875 (83.178) Epoch: [65][8770/11272] Time 0.718 (0.773) Data 0.002 (0.002) Loss 1.7885 (1.7272) Prec@1 52.500 (53.980) Prec@5 83.125 (83.177) Epoch: [65][8780/11272] Time 0.829 (0.773) Data 0.001 (0.002) Loss 1.7178 (1.7272) Prec@1 49.375 (53.979) Prec@5 84.375 (83.176) Epoch: [65][8790/11272] Time 0.796 (0.773) Data 0.003 (0.002) Loss 1.8384 (1.7273) Prec@1 56.875 (53.977) Prec@5 83.125 (83.176) Epoch: [65][8800/11272] Time 0.712 (0.773) Data 0.002 (0.002) Loss 1.7018 (1.7274) Prec@1 51.250 (53.975) Prec@5 85.000 (83.173) Epoch: [65][8810/11272] Time 0.732 (0.773) Data 0.002 (0.002) Loss 1.5261 (1.7274) Prec@1 54.375 (53.975) Prec@5 86.250 (83.174) Epoch: [65][8820/11272] Time 0.839 (0.773) Data 0.001 (0.002) Loss 1.6401 (1.7274) Prec@1 52.500 (53.972) Prec@5 85.625 (83.173) Epoch: [65][8830/11272] Time 0.815 (0.773) Data 0.001 (0.002) Loss 1.5038 (1.7273) Prec@1 58.125 (53.975) Prec@5 88.750 (83.175) Epoch: [65][8840/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.6211 (1.7273) Prec@1 62.500 (53.977) Prec@5 82.500 (83.174) Epoch: [65][8850/11272] Time 0.808 (0.773) Data 0.002 (0.002) Loss 2.0877 (1.7274) Prec@1 46.875 (53.974) Prec@5 80.000 (83.174) Epoch: [65][8860/11272] Time 0.861 (0.773) Data 0.001 (0.002) Loss 1.5043 (1.7273) Prec@1 54.375 (53.975) Prec@5 91.875 (83.176) Epoch: [65][8870/11272] Time 0.752 (0.773) Data 0.002 (0.002) Loss 1.6180 (1.7273) Prec@1 51.250 (53.975) Prec@5 86.875 (83.177) Epoch: [65][8880/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.7430 (1.7274) Prec@1 58.125 (53.975) Prec@5 83.750 (83.177) Epoch: [65][8890/11272] Time 0.790 (0.773) Data 0.001 (0.002) Loss 1.6980 (1.7274) Prec@1 57.500 (53.975) Prec@5 80.625 (83.176) Epoch: [65][8900/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.6129 (1.7274) Prec@1 50.625 (53.975) Prec@5 86.250 (83.176) Epoch: [65][8910/11272] Time 0.748 (0.773) Data 0.001 (0.002) Loss 1.5719 (1.7274) Prec@1 58.750 (53.975) Prec@5 87.500 (83.176) Epoch: [65][8920/11272] Time 0.751 (0.773) Data 0.001 (0.002) Loss 1.5750 (1.7274) Prec@1 57.500 (53.976) Prec@5 88.125 (83.177) Epoch: [65][8930/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.8114 (1.7274) Prec@1 50.000 (53.976) Prec@5 81.250 (83.176) Epoch: [65][8940/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.8247 (1.7274) Prec@1 51.250 (53.976) Prec@5 80.000 (83.175) Epoch: [65][8950/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8663 (1.7275) Prec@1 48.750 (53.974) Prec@5 83.125 (83.173) Epoch: [65][8960/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.6554 (1.7276) Prec@1 60.000 (53.974) Prec@5 83.125 (83.173) Epoch: [65][8970/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.8592 (1.7276) Prec@1 51.875 (53.972) Prec@5 80.625 (83.172) Epoch: [65][8980/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.7834 (1.7277) Prec@1 55.000 (53.969) Prec@5 80.625 (83.170) Epoch: [65][8990/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.7201 (1.7277) Prec@1 48.750 (53.970) Prec@5 84.375 (83.169) Epoch: [65][9000/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.5291 (1.7277) Prec@1 65.000 (53.970) Prec@5 83.125 (83.169) Epoch: [65][9010/11272] Time 0.783 (0.773) Data 0.001 (0.002) Loss 1.7848 (1.7277) Prec@1 53.750 (53.970) Prec@5 81.250 (83.168) Epoch: [65][9020/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.7503 (1.7277) Prec@1 52.500 (53.970) Prec@5 84.375 (83.168) Epoch: [65][9030/11272] Time 0.720 (0.773) Data 0.002 (0.002) Loss 1.5819 (1.7277) Prec@1 53.750 (53.972) Prec@5 86.250 (83.168) Epoch: [65][9040/11272] Time 0.798 (0.773) Data 0.001 (0.002) Loss 1.4465 (1.7276) Prec@1 58.125 (53.973) Prec@5 86.250 (83.169) Epoch: [65][9050/11272] Time 0.796 (0.773) Data 0.001 (0.002) Loss 1.7000 (1.7276) Prec@1 55.000 (53.972) Prec@5 82.500 (83.170) Epoch: [65][9060/11272] Time 0.692 (0.773) Data 0.001 (0.002) Loss 2.0408 (1.7277) Prec@1 43.125 (53.972) Prec@5 78.750 (83.169) Epoch: [65][9070/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6547 (1.7277) Prec@1 53.750 (53.972) Prec@5 83.125 (83.169) Epoch: [65][9080/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.6283 (1.7277) Prec@1 53.125 (53.971) Prec@5 83.125 (83.168) Epoch: [65][9090/11272] Time 0.838 (0.773) Data 0.002 (0.002) Loss 1.6418 (1.7277) Prec@1 55.625 (53.972) Prec@5 84.375 (83.168) Epoch: [65][9100/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.7194 (1.7277) Prec@1 51.250 (53.972) Prec@5 86.875 (83.169) Epoch: [65][9110/11272] Time 0.833 (0.773) Data 0.001 (0.002) Loss 1.8014 (1.7277) Prec@1 55.625 (53.972) Prec@5 83.125 (83.169) Epoch: [65][9120/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.5132 (1.7277) Prec@1 58.125 (53.973) Prec@5 85.000 (83.170) Epoch: [65][9130/11272] Time 0.713 (0.773) Data 0.002 (0.002) Loss 1.8679 (1.7277) Prec@1 48.750 (53.971) Prec@5 81.875 (83.170) Epoch: [65][9140/11272] Time 0.725 (0.773) Data 0.002 (0.002) Loss 1.5904 (1.7277) Prec@1 55.625 (53.971) Prec@5 81.875 (83.171) Epoch: [65][9150/11272] Time 0.840 (0.773) Data 0.001 (0.002) Loss 1.7350 (1.7277) Prec@1 53.750 (53.971) Prec@5 85.000 (83.169) Epoch: [65][9160/11272] Time 0.883 (0.773) Data 0.001 (0.002) Loss 1.9877 (1.7277) Prec@1 46.875 (53.969) Prec@5 79.375 (83.170) Epoch: [65][9170/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.6259 (1.7278) Prec@1 55.625 (53.968) Prec@5 84.375 (83.169) Epoch: [65][9180/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.8060 (1.7278) Prec@1 54.375 (53.970) Prec@5 78.125 (83.169) Epoch: [65][9190/11272] Time 0.881 (0.773) Data 0.001 (0.002) Loss 1.9895 (1.7278) Prec@1 45.625 (53.970) Prec@5 80.625 (83.169) Epoch: [65][9200/11272] Time 0.782 (0.773) Data 0.001 (0.002) Loss 1.5421 (1.7278) Prec@1 59.375 (53.971) Prec@5 85.625 (83.169) Epoch: [65][9210/11272] Time 0.730 (0.773) Data 0.001 (0.002) Loss 1.7319 (1.7278) Prec@1 50.625 (53.970) Prec@5 85.000 (83.168) Epoch: [65][9220/11272] Time 0.726 (0.773) Data 0.001 (0.002) Loss 1.7137 (1.7278) Prec@1 56.250 (53.973) Prec@5 80.000 (83.169) Epoch: [65][9230/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.9437 (1.7277) Prec@1 50.625 (53.975) Prec@5 80.000 (83.171) Epoch: [65][9240/11272] Time 0.731 (0.773) Data 0.003 (0.002) Loss 1.7899 (1.7276) Prec@1 54.375 (53.978) Prec@5 84.375 (83.172) Epoch: [65][9250/11272] Time 0.699 (0.773) Data 0.001 (0.002) Loss 1.5633 (1.7276) Prec@1 52.500 (53.977) Prec@5 87.500 (83.174) Epoch: [65][9260/11272] Time 0.803 (0.773) Data 0.001 (0.002) Loss 1.8661 (1.7276) Prec@1 47.500 (53.976) Prec@5 83.125 (83.174) Epoch: [65][9270/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.6234 (1.7275) Prec@1 58.125 (53.978) Prec@5 83.125 (83.175) Epoch: [65][9280/11272] Time 0.703 (0.773) Data 0.001 (0.002) Loss 1.7376 (1.7276) Prec@1 56.875 (53.976) Prec@5 80.625 (83.174) Epoch: [65][9290/11272] Time 0.707 (0.773) Data 0.002 (0.002) Loss 1.8389 (1.7276) Prec@1 52.500 (53.977) Prec@5 78.125 (83.173) Epoch: [65][9300/11272] Time 0.862 (0.773) Data 0.002 (0.002) Loss 1.5743 (1.7277) Prec@1 54.375 (53.977) Prec@5 90.000 (83.173) Epoch: [65][9310/11272] Time 0.806 (0.773) Data 0.001 (0.002) Loss 1.6019 (1.7277) Prec@1 56.250 (53.978) Prec@5 84.375 (83.173) Epoch: [65][9320/11272] Time 0.703 (0.773) Data 0.001 (0.002) Loss 1.7440 (1.7276) Prec@1 54.375 (53.979) Prec@5 81.875 (83.172) Epoch: [65][9330/11272] Time 0.725 (0.773) Data 0.002 (0.002) Loss 1.7475 (1.7276) Prec@1 54.375 (53.978) Prec@5 84.375 (83.172) Epoch: [65][9340/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.5376 (1.7276) Prec@1 56.875 (53.979) Prec@5 89.375 (83.175) Epoch: [65][9350/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.5604 (1.7275) Prec@1 59.375 (53.980) Prec@5 85.625 (83.177) Epoch: [65][9360/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 2.0654 (1.7275) Prec@1 47.500 (53.977) Prec@5 75.625 (83.177) Epoch: [65][9370/11272] Time 0.873 (0.773) Data 0.001 (0.002) Loss 1.6989 (1.7275) Prec@1 56.250 (53.978) Prec@5 80.000 (83.178) Epoch: [65][9380/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.5777 (1.7275) Prec@1 55.625 (53.977) Prec@5 83.750 (83.178) Epoch: [65][9390/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.7794 (1.7275) Prec@1 53.125 (53.976) Prec@5 82.500 (83.177) Epoch: [65][9400/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.7762 (1.7276) Prec@1 55.625 (53.974) Prec@5 79.375 (83.174) Epoch: [65][9410/11272] Time 0.801 (0.773) Data 0.001 (0.002) Loss 1.6650 (1.7276) Prec@1 56.250 (53.974) Prec@5 84.375 (83.175) Epoch: [65][9420/11272] Time 0.848 (0.773) Data 0.001 (0.002) Loss 1.7180 (1.7275) Prec@1 50.625 (53.975) Prec@5 82.500 (83.175) Epoch: [65][9430/11272] Time 0.734 (0.773) Data 0.001 (0.002) Loss 1.9839 (1.7276) Prec@1 46.875 (53.975) Prec@5 78.750 (83.174) Epoch: [65][9440/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 2.0865 (1.7276) Prec@1 54.375 (53.975) Prec@5 73.750 (83.172) Epoch: [65][9450/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.6588 (1.7275) Prec@1 54.375 (53.976) Prec@5 86.250 (83.172) Epoch: [65][9460/11272] Time 0.810 (0.773) Data 0.001 (0.002) Loss 1.7736 (1.7275) Prec@1 50.000 (53.977) Prec@5 83.125 (83.172) Epoch: [65][9470/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.9065 (1.7276) Prec@1 46.250 (53.974) Prec@5 85.625 (83.172) Epoch: [65][9480/11272] Time 0.726 (0.773) Data 0.001 (0.002) Loss 1.7902 (1.7276) Prec@1 53.125 (53.974) Prec@5 80.625 (83.173) Epoch: [65][9490/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.7770 (1.7276) Prec@1 53.750 (53.974) Prec@5 79.375 (83.172) Epoch: [65][9500/11272] Time 0.715 (0.773) Data 0.003 (0.002) Loss 1.7945 (1.7275) Prec@1 51.875 (53.975) Prec@5 80.625 (83.172) Epoch: [65][9510/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.6699 (1.7275) Prec@1 53.750 (53.976) Prec@5 85.000 (83.172) Epoch: [65][9520/11272] Time 0.797 (0.773) Data 0.001 (0.002) Loss 1.9823 (1.7276) Prec@1 50.625 (53.974) Prec@5 79.375 (83.172) Epoch: [65][9530/11272] Time 0.833 (0.773) Data 0.001 (0.002) Loss 1.6596 (1.7276) Prec@1 60.000 (53.974) Prec@5 81.875 (83.172) Epoch: [65][9540/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.7157 (1.7276) Prec@1 48.125 (53.975) Prec@5 85.000 (83.172) Epoch: [65][9550/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.8372 (1.7276) Prec@1 48.750 (53.975) Prec@5 83.750 (83.173) Epoch: [65][9560/11272] Time 0.803 (0.773) Data 0.001 (0.002) Loss 1.8004 (1.7275) Prec@1 50.625 (53.977) Prec@5 83.125 (83.174) Epoch: [65][9570/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.7002 (1.7274) Prec@1 57.500 (53.980) Prec@5 81.250 (83.176) Epoch: [65][9580/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.7321 (1.7274) Prec@1 53.125 (53.980) Prec@5 81.250 (83.175) Epoch: [65][9590/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.7340 (1.7275) Prec@1 51.250 (53.977) Prec@5 80.000 (83.174) Epoch: [65][9600/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.8691 (1.7276) Prec@1 52.500 (53.977) Prec@5 77.500 (83.172) Epoch: [65][9610/11272] Time 0.788 (0.773) Data 0.001 (0.002) Loss 1.8044 (1.7275) Prec@1 49.375 (53.977) Prec@5 82.500 (83.171) Epoch: [65][9620/11272] Time 0.722 (0.773) Data 0.002 (0.002) Loss 1.6434 (1.7276) Prec@1 53.125 (53.976) Prec@5 85.625 (83.170) Epoch: [65][9630/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.6933 (1.7276) Prec@1 56.875 (53.976) Prec@5 83.125 (83.171) Epoch: [65][9640/11272] Time 0.861 (0.773) Data 0.001 (0.002) Loss 1.8239 (1.7276) Prec@1 55.000 (53.977) Prec@5 81.875 (83.171) Epoch: [65][9650/11272] Time 0.733 (0.773) Data 0.001 (0.002) Loss 1.8676 (1.7276) Prec@1 50.000 (53.976) Prec@5 78.750 (83.171) Epoch: [65][9660/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.5849 (1.7277) Prec@1 58.125 (53.976) Prec@5 86.875 (83.169) Epoch: [65][9670/11272] Time 0.852 (0.773) Data 0.002 (0.002) Loss 1.8664 (1.7277) Prec@1 53.750 (53.976) Prec@5 80.000 (83.167) Epoch: [65][9680/11272] Time 0.804 (0.773) Data 0.001 (0.002) Loss 1.5973 (1.7277) Prec@1 61.875 (53.975) Prec@5 82.500 (83.167) Epoch: [65][9690/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.6892 (1.7277) Prec@1 61.250 (53.976) Prec@5 82.500 (83.167) Epoch: [65][9700/11272] Time 0.756 (0.773) Data 0.001 (0.002) Loss 1.6814 (1.7278) Prec@1 51.250 (53.975) Prec@5 85.000 (83.167) Epoch: [65][9710/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.9744 (1.7278) Prec@1 46.875 (53.974) Prec@5 76.875 (83.167) Epoch: [65][9720/11272] Time 0.803 (0.773) Data 0.002 (0.002) Loss 1.9085 (1.7278) Prec@1 45.625 (53.973) Prec@5 81.875 (83.167) Epoch: [65][9730/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.6860 (1.7277) Prec@1 50.000 (53.974) Prec@5 86.250 (83.169) Epoch: [65][9740/11272] Time 0.723 (0.773) Data 0.001 (0.002) Loss 1.8213 (1.7278) Prec@1 52.500 (53.972) Prec@5 81.250 (83.169) Epoch: [65][9750/11272] Time 0.824 (0.773) Data 0.002 (0.002) Loss 1.7018 (1.7278) Prec@1 53.750 (53.972) Prec@5 84.375 (83.168) Epoch: [65][9760/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.5775 (1.7277) Prec@1 60.000 (53.974) Prec@5 82.500 (83.169) Epoch: [65][9770/11272] Time 0.728 (0.773) Data 0.001 (0.002) Loss 1.5408 (1.7278) Prec@1 54.375 (53.972) Prec@5 85.625 (83.168) Epoch: [65][9780/11272] Time 0.831 (0.773) Data 0.001 (0.002) Loss 1.9024 (1.7277) Prec@1 45.625 (53.972) Prec@5 83.125 (83.168) Epoch: [65][9790/11272] Time 0.842 (0.773) Data 0.001 (0.002) Loss 1.8017 (1.7277) Prec@1 52.500 (53.972) Prec@5 82.500 (83.168) Epoch: [65][9800/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.5761 (1.7277) Prec@1 56.875 (53.975) Prec@5 88.125 (83.169) Epoch: [65][9810/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.6813 (1.7277) Prec@1 56.250 (53.974) Prec@5 84.375 (83.170) Epoch: [65][9820/11272] Time 0.834 (0.773) Data 0.001 (0.002) Loss 1.7475 (1.7278) Prec@1 50.625 (53.973) Prec@5 82.500 (83.168) Epoch: [65][9830/11272] Time 0.799 (0.773) Data 0.001 (0.002) Loss 1.7941 (1.7278) Prec@1 50.625 (53.972) Prec@5 80.000 (83.167) Epoch: [65][9840/11272] Time 0.741 (0.773) Data 0.001 (0.002) Loss 1.7172 (1.7279) Prec@1 54.375 (53.972) Prec@5 80.625 (83.165) Epoch: [65][9850/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8470 (1.7279) Prec@1 50.000 (53.971) Prec@5 81.250 (83.164) Epoch: [65][9860/11272] Time 0.839 (0.773) Data 0.001 (0.002) Loss 1.9416 (1.7279) Prec@1 45.000 (53.972) Prec@5 78.750 (83.164) Epoch: [65][9870/11272] Time 0.838 (0.773) Data 0.001 (0.002) Loss 1.8815 (1.7279) Prec@1 49.375 (53.972) Prec@5 82.500 (83.164) Epoch: [65][9880/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.5341 (1.7279) Prec@1 57.500 (53.972) Prec@5 90.625 (83.164) Epoch: [65][9890/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.5588 (1.7279) Prec@1 56.250 (53.972) Prec@5 88.125 (83.165) Epoch: [65][9900/11272] Time 0.830 (0.773) Data 0.001 (0.002) Loss 2.0100 (1.7280) Prec@1 52.500 (53.971) Prec@5 78.125 (83.163) Epoch: [65][9910/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.8138 (1.7279) Prec@1 52.500 (53.971) Prec@5 80.625 (83.163) Epoch: [65][9920/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 2.0077 (1.7279) Prec@1 45.000 (53.972) Prec@5 81.250 (83.164) Epoch: [65][9930/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.5333 (1.7279) Prec@1 56.875 (53.972) Prec@5 85.000 (83.163) Epoch: [65][9940/11272] Time 0.821 (0.773) Data 0.001 (0.002) Loss 1.7839 (1.7279) Prec@1 53.750 (53.974) Prec@5 80.625 (83.163) Epoch: [65][9950/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.8320 (1.7280) Prec@1 50.625 (53.971) Prec@5 80.000 (83.161) Epoch: [65][9960/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 2.0245 (1.7280) Prec@1 43.750 (53.971) Prec@5 79.375 (83.161) Epoch: [65][9970/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.8855 (1.7281) Prec@1 52.500 (53.970) Prec@5 80.000 (83.160) Epoch: [65][9980/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.6057 (1.7281) Prec@1 56.875 (53.968) Prec@5 83.750 (83.161) Epoch: [65][9990/11272] Time 0.735 (0.773) Data 0.002 (0.002) Loss 1.5877 (1.7281) Prec@1 58.750 (53.970) Prec@5 83.750 (83.162) Epoch: [65][10000/11272] Time 0.775 (0.773) Data 0.001 (0.002) Loss 1.6008 (1.7280) Prec@1 53.125 (53.971) Prec@5 86.250 (83.163) Epoch: [65][10010/11272] Time 0.811 (0.773) Data 0.002 (0.002) Loss 1.6748 (1.7280) Prec@1 56.250 (53.972) Prec@5 83.750 (83.162) Epoch: [65][10020/11272] Time 0.813 (0.773) Data 0.003 (0.002) Loss 1.7196 (1.7281) Prec@1 57.500 (53.971) Prec@5 85.000 (83.161) Epoch: [65][10030/11272] Time 0.744 (0.773) Data 0.002 (0.002) Loss 1.7071 (1.7281) Prec@1 51.250 (53.970) Prec@5 81.875 (83.161) Epoch: [65][10040/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.6317 (1.7281) Prec@1 53.125 (53.970) Prec@5 86.875 (83.161) Epoch: [65][10050/11272] Time 0.839 (0.773) Data 0.001 (0.002) Loss 1.5477 (1.7281) Prec@1 56.875 (53.969) Prec@5 86.250 (83.161) Epoch: [65][10060/11272] Time 0.736 (0.773) Data 0.001 (0.002) Loss 1.7624 (1.7281) Prec@1 53.750 (53.969) Prec@5 81.875 (83.162) Epoch: [65][10070/11272] Time 0.700 (0.773) Data 0.001 (0.002) Loss 1.9654 (1.7281) Prec@1 50.000 (53.972) Prec@5 75.000 (83.161) Epoch: [65][10080/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.6876 (1.7281) Prec@1 58.125 (53.972) Prec@5 84.375 (83.160) Epoch: [65][10090/11272] Time 0.853 (0.773) Data 0.002 (0.002) Loss 1.7412 (1.7281) Prec@1 53.750 (53.972) Prec@5 81.875 (83.160) Epoch: [65][10100/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.7740 (1.7282) Prec@1 51.250 (53.973) Prec@5 83.125 (83.160) Epoch: [65][10110/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.7074 (1.7281) Prec@1 55.625 (53.977) Prec@5 84.375 (83.161) Epoch: [65][10120/11272] Time 0.840 (0.773) Data 0.001 (0.002) Loss 1.6545 (1.7281) Prec@1 55.000 (53.977) Prec@5 83.125 (83.161) Epoch: [65][10130/11272] Time 0.807 (0.773) Data 0.002 (0.002) Loss 1.7314 (1.7280) Prec@1 55.625 (53.977) Prec@5 84.375 (83.161) Epoch: [65][10140/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.8127 (1.7281) Prec@1 52.500 (53.976) Prec@5 81.250 (83.162) Epoch: [65][10150/11272] Time 0.749 (0.773) Data 0.002 (0.002) Loss 1.7152 (1.7281) Prec@1 55.625 (53.977) Prec@5 84.375 (83.162) Epoch: [65][10160/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.9602 (1.7281) Prec@1 43.750 (53.977) Prec@5 78.125 (83.163) Epoch: [65][10170/11272] Time 0.722 (0.773) Data 0.003 (0.002) Loss 1.6390 (1.7280) Prec@1 58.125 (53.978) Prec@5 83.125 (83.163) Epoch: [65][10180/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.6214 (1.7280) Prec@1 51.875 (53.977) Prec@5 86.875 (83.164) Epoch: [65][10190/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.5902 (1.7280) Prec@1 55.000 (53.977) Prec@5 88.750 (83.166) Epoch: [65][10200/11272] Time 0.851 (0.773) Data 0.001 (0.002) Loss 1.8089 (1.7280) Prec@1 54.375 (53.977) Prec@5 80.625 (83.167) Epoch: [65][10210/11272] Time 0.694 (0.773) Data 0.001 (0.002) Loss 1.4350 (1.7280) Prec@1 60.625 (53.977) Prec@5 87.500 (83.168) Epoch: [65][10220/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.7240 (1.7280) Prec@1 53.750 (53.977) Prec@5 82.500 (83.167) Epoch: [65][10230/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.7882 (1.7280) Prec@1 51.250 (53.976) Prec@5 86.250 (83.168) Epoch: [65][10240/11272] Time 0.847 (0.773) Data 0.001 (0.002) Loss 1.8711 (1.7279) Prec@1 51.250 (53.977) Prec@5 83.125 (83.170) Epoch: [65][10250/11272] Time 0.728 (0.773) Data 0.001 (0.002) Loss 1.8992 (1.7280) Prec@1 51.875 (53.977) Prec@5 76.250 (83.170) Epoch: [65][10260/11272] Time 0.727 (0.773) Data 0.002 (0.002) Loss 1.9302 (1.7279) Prec@1 47.500 (53.977) Prec@5 80.625 (83.171) Epoch: [65][10270/11272] Time 0.849 (0.773) Data 0.002 (0.002) Loss 1.7528 (1.7279) Prec@1 53.750 (53.978) Prec@5 82.500 (83.171) Epoch: [65][10280/11272] Time 0.861 (0.773) Data 0.002 (0.002) Loss 1.6327 (1.7279) Prec@1 52.500 (53.978) Prec@5 86.250 (83.172) Epoch: [65][10290/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.9238 (1.7279) Prec@1 48.750 (53.979) Prec@5 81.250 (83.171) Epoch: [65][10300/11272] Time 0.866 (0.773) Data 0.001 (0.002) Loss 1.6883 (1.7280) Prec@1 55.625 (53.977) Prec@5 87.500 (83.171) Epoch: [65][10310/11272] Time 0.811 (0.773) Data 0.002 (0.002) Loss 1.6511 (1.7279) Prec@1 56.250 (53.978) Prec@5 81.250 (83.171) Epoch: [65][10320/11272] Time 0.736 (0.773) Data 0.001 (0.002) Loss 1.8832 (1.7280) Prec@1 50.000 (53.977) Prec@5 84.375 (83.171) Epoch: [65][10330/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.8220 (1.7280) Prec@1 46.875 (53.975) Prec@5 84.375 (83.171) Epoch: [65][10340/11272] Time 0.832 (0.773) Data 0.001 (0.002) Loss 1.5123 (1.7280) Prec@1 55.000 (53.975) Prec@5 89.375 (83.171) Epoch: [65][10350/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.6831 (1.7280) Prec@1 55.625 (53.976) Prec@5 82.500 (83.172) Epoch: [65][10360/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.8875 (1.7280) Prec@1 46.250 (53.975) Prec@5 78.125 (83.172) Epoch: [65][10370/11272] Time 0.723 (0.773) Data 0.002 (0.002) Loss 1.6419 (1.7280) Prec@1 56.250 (53.976) Prec@5 84.375 (83.173) Epoch: [65][10380/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.8190 (1.7280) Prec@1 51.875 (53.976) Prec@5 84.375 (83.173) Epoch: [65][10390/11272] Time 0.859 (0.773) Data 0.001 (0.002) Loss 1.9740 (1.7280) Prec@1 50.000 (53.975) Prec@5 81.250 (83.173) Epoch: [65][10400/11272] Time 0.722 (0.773) Data 0.002 (0.002) Loss 1.6764 (1.7280) Prec@1 60.625 (53.974) Prec@5 83.125 (83.172) Epoch: [65][10410/11272] Time 0.703 (0.773) Data 0.002 (0.002) Loss 1.6662 (1.7281) Prec@1 60.625 (53.972) Prec@5 83.750 (83.172) Epoch: [65][10420/11272] Time 0.841 (0.773) Data 0.002 (0.002) Loss 1.5899 (1.7281) Prec@1 58.125 (53.973) Prec@5 85.000 (83.172) Epoch: [65][10430/11272] Time 0.705 (0.773) Data 0.003 (0.002) Loss 1.8039 (1.7282) Prec@1 53.750 (53.970) Prec@5 82.500 (83.170) Epoch: [65][10440/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.8804 (1.7282) Prec@1 52.500 (53.970) Prec@5 75.000 (83.169) Epoch: [65][10450/11272] Time 0.825 (0.773) Data 0.002 (0.002) Loss 1.8283 (1.7283) Prec@1 49.375 (53.968) Prec@5 81.875 (83.168) Epoch: [65][10460/11272] Time 0.847 (0.773) Data 0.002 (0.002) Loss 1.5530 (1.7283) Prec@1 54.375 (53.967) Prec@5 85.625 (83.169) Epoch: [65][10470/11272] Time 0.702 (0.773) Data 0.001 (0.002) Loss 1.5107 (1.7283) Prec@1 60.625 (53.969) Prec@5 83.125 (83.170) Epoch: [65][10480/11272] Time 0.723 (0.773) Data 0.001 (0.002) Loss 1.7139 (1.7284) Prec@1 50.625 (53.967) Prec@5 86.250 (83.169) Epoch: [65][10490/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.5894 (1.7284) Prec@1 52.500 (53.964) Prec@5 88.125 (83.170) Epoch: [65][10500/11272] Time 0.831 (0.773) Data 0.002 (0.002) Loss 1.7919 (1.7283) Prec@1 55.625 (53.964) Prec@5 83.125 (83.171) Epoch: [65][10510/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.6555 (1.7283) Prec@1 60.625 (53.966) Prec@5 84.375 (83.172) Epoch: [65][10520/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.8348 (1.7283) Prec@1 50.625 (53.966) Prec@5 80.625 (83.172) Epoch: [65][10530/11272] Time 0.853 (0.773) Data 0.001 (0.002) Loss 1.6407 (1.7283) Prec@1 56.250 (53.967) Prec@5 83.750 (83.172) Epoch: [65][10540/11272] Time 0.834 (0.773) Data 0.001 (0.002) Loss 1.7734 (1.7283) Prec@1 50.625 (53.967) Prec@5 82.500 (83.173) Epoch: [65][10550/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.7080 (1.7283) Prec@1 58.125 (53.968) Prec@5 83.125 (83.174) Epoch: [65][10560/11272] Time 0.884 (0.773) Data 0.001 (0.002) Loss 1.7491 (1.7283) Prec@1 52.500 (53.967) Prec@5 82.500 (83.174) Epoch: [65][10570/11272] Time 0.799 (0.773) Data 0.001 (0.002) Loss 1.7761 (1.7284) Prec@1 50.625 (53.965) Prec@5 84.375 (83.173) Epoch: [65][10580/11272] Time 0.698 (0.773) Data 0.001 (0.002) Loss 1.8478 (1.7284) Prec@1 53.750 (53.964) Prec@5 80.625 (83.173) Epoch: [65][10590/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.6818 (1.7284) Prec@1 57.500 (53.965) Prec@5 83.750 (83.173) Epoch: [65][10600/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.7117 (1.7283) Prec@1 53.750 (53.965) Prec@5 86.250 (83.174) Epoch: [65][10610/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.7136 (1.7283) Prec@1 53.750 (53.965) Prec@5 83.125 (83.175) Epoch: [65][10620/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.6928 (1.7284) Prec@1 51.875 (53.964) Prec@5 85.625 (83.173) Epoch: [65][10630/11272] Time 0.710 (0.773) Data 0.002 (0.002) Loss 1.6493 (1.7283) Prec@1 60.625 (53.965) Prec@5 85.625 (83.175) Epoch: [65][10640/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.8775 (1.7283) Prec@1 54.375 (53.965) Prec@5 81.250 (83.175) Epoch: [65][10650/11272] Time 0.862 (0.773) Data 0.002 (0.002) Loss 1.7703 (1.7283) Prec@1 51.250 (53.966) Prec@5 81.250 (83.175) Epoch: [65][10660/11272] Time 0.734 (0.773) Data 0.001 (0.002) Loss 1.8291 (1.7283) Prec@1 50.625 (53.965) Prec@5 82.500 (83.174) Epoch: [65][10670/11272] Time 0.694 (0.773) Data 0.001 (0.002) Loss 1.6811 (1.7282) Prec@1 51.250 (53.967) Prec@5 83.125 (83.175) Epoch: [65][10680/11272] Time 0.859 (0.773) Data 0.002 (0.002) Loss 1.8459 (1.7282) Prec@1 52.500 (53.968) Prec@5 81.250 (83.175) Epoch: [65][10690/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.6093 (1.7282) Prec@1 57.500 (53.968) Prec@5 83.125 (83.175) Epoch: [65][10700/11272] Time 0.717 (0.773) Data 0.002 (0.002) Loss 1.9268 (1.7282) Prec@1 48.125 (53.969) Prec@5 78.750 (83.175) Epoch: [65][10710/11272] Time 0.848 (0.773) Data 0.002 (0.002) Loss 1.6068 (1.7281) Prec@1 56.875 (53.969) Prec@5 85.625 (83.176) Epoch: [65][10720/11272] Time 0.794 (0.773) Data 0.001 (0.002) Loss 1.7363 (1.7282) Prec@1 55.625 (53.968) Prec@5 80.000 (83.174) Epoch: [65][10730/11272] Time 0.744 (0.773) Data 0.002 (0.002) Loss 1.8742 (1.7283) Prec@1 48.750 (53.966) Prec@5 81.875 (83.174) Epoch: [65][10740/11272] Time 0.740 (0.773) Data 0.002 (0.002) Loss 1.5991 (1.7282) Prec@1 55.000 (53.966) Prec@5 85.000 (83.174) Epoch: [65][10750/11272] Time 0.809 (0.773) Data 0.001 (0.002) Loss 1.8340 (1.7283) Prec@1 53.125 (53.965) Prec@5 80.000 (83.174) Epoch: [65][10760/11272] Time 0.831 (0.773) Data 0.001 (0.002) Loss 1.5699 (1.7282) Prec@1 55.625 (53.966) Prec@5 86.875 (83.176) Epoch: [65][10770/11272] Time 0.729 (0.773) Data 0.001 (0.002) Loss 1.4061 (1.7281) Prec@1 59.375 (53.968) Prec@5 89.375 (83.176) Epoch: [65][10780/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 2.1170 (1.7281) Prec@1 43.750 (53.969) Prec@5 77.500 (83.176) Epoch: [65][10790/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.5767 (1.7281) Prec@1 58.750 (53.970) Prec@5 85.000 (83.176) Epoch: [65][10800/11272] Time 0.836 (0.773) Data 0.002 (0.002) Loss 1.5741 (1.7281) Prec@1 55.000 (53.970) Prec@5 85.000 (83.176) Epoch: [65][10810/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.6356 (1.7280) Prec@1 55.000 (53.972) Prec@5 85.625 (83.176) Epoch: [65][10820/11272] Time 0.724 (0.773) Data 0.001 (0.002) Loss 1.7131 (1.7281) Prec@1 57.500 (53.971) Prec@5 85.000 (83.175) Epoch: [65][10830/11272] Time 0.862 (0.773) Data 0.001 (0.002) Loss 1.6904 (1.7280) Prec@1 55.000 (53.973) Prec@5 83.750 (83.176) Epoch: [65][10840/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.9165 (1.7280) Prec@1 46.875 (53.973) Prec@5 80.000 (83.177) Epoch: [65][10850/11272] Time 0.745 (0.773) Data 0.001 (0.002) Loss 1.8235 (1.7281) Prec@1 50.000 (53.972) Prec@5 80.625 (83.176) Epoch: [65][10860/11272] Time 0.847 (0.773) Data 0.002 (0.002) Loss 1.7238 (1.7281) Prec@1 50.625 (53.970) Prec@5 83.125 (83.175) Epoch: [65][10870/11272] Time 0.835 (0.773) Data 0.001 (0.002) Loss 1.9451 (1.7282) Prec@1 50.000 (53.969) Prec@5 78.125 (83.174) Epoch: [65][10880/11272] Time 0.750 (0.773) Data 0.002 (0.002) Loss 1.6488 (1.7281) Prec@1 54.375 (53.970) Prec@5 86.250 (83.175) Epoch: [65][10890/11272] Time 0.735 (0.773) Data 0.001 (0.002) Loss 1.8622 (1.7281) Prec@1 48.125 (53.969) Prec@5 83.125 (83.174) Epoch: [65][10900/11272] Time 0.842 (0.773) Data 0.001 (0.002) Loss 1.6311 (1.7282) Prec@1 56.875 (53.969) Prec@5 87.500 (83.174) Epoch: [65][10910/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.5105 (1.7281) Prec@1 58.125 (53.970) Prec@5 85.000 (83.174) Epoch: [65][10920/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.8639 (1.7281) Prec@1 52.500 (53.971) Prec@5 78.125 (83.175) Epoch: [65][10930/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.7911 (1.7281) Prec@1 53.125 (53.969) Prec@5 80.000 (83.174) Epoch: [65][10940/11272] Time 0.794 (0.773) Data 0.001 (0.002) Loss 1.7235 (1.7281) Prec@1 59.375 (53.969) Prec@5 83.125 (83.174) Epoch: [65][10950/11272] Time 0.842 (0.773) Data 0.001 (0.002) Loss 1.7311 (1.7282) Prec@1 56.250 (53.969) Prec@5 84.375 (83.174) Epoch: [65][10960/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.6658 (1.7282) Prec@1 55.625 (53.968) Prec@5 83.750 (83.172) Epoch: [65][10970/11272] Time 0.793 (0.773) Data 0.001 (0.002) Loss 1.6018 (1.7282) Prec@1 54.375 (53.966) Prec@5 87.500 (83.171) Epoch: [65][10980/11272] Time 0.849 (0.773) Data 0.002 (0.002) Loss 1.8391 (1.7282) Prec@1 48.750 (53.965) Prec@5 81.250 (83.172) Epoch: [65][10990/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.8300 (1.7283) Prec@1 50.000 (53.965) Prec@5 81.250 (83.172) Epoch: [65][11000/11272] Time 0.736 (0.773) Data 0.002 (0.002) Loss 1.8799 (1.7283) Prec@1 54.375 (53.964) Prec@5 76.875 (83.172) Epoch: [65][11010/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.7419 (1.7283) Prec@1 55.625 (53.964) Prec@5 80.000 (83.171) Epoch: [65][11020/11272] Time 0.895 (0.773) Data 0.001 (0.002) Loss 1.7762 (1.7283) Prec@1 50.625 (53.965) Prec@5 82.500 (83.171) Epoch: [65][11030/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.6043 (1.7282) Prec@1 56.875 (53.966) Prec@5 85.625 (83.171) Epoch: [65][11040/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6707 (1.7282) Prec@1 60.000 (53.967) Prec@5 83.750 (83.171) Epoch: [65][11050/11272] Time 0.824 (0.773) Data 0.001 (0.002) Loss 1.7344 (1.7282) Prec@1 53.750 (53.967) Prec@5 82.500 (83.171) Epoch: [65][11060/11272] Time 0.796 (0.773) Data 0.001 (0.002) Loss 1.8849 (1.7283) Prec@1 54.375 (53.966) Prec@5 78.750 (83.170) Epoch: [65][11070/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.6444 (1.7283) Prec@1 55.000 (53.966) Prec@5 83.125 (83.170) Epoch: [65][11080/11272] Time 0.742 (0.773) Data 0.001 (0.002) Loss 1.6918 (1.7283) Prec@1 56.875 (53.966) Prec@5 81.875 (83.168) Epoch: [65][11090/11272] Time 0.789 (0.773) Data 0.001 (0.002) Loss 1.9399 (1.7283) Prec@1 55.625 (53.965) Prec@5 80.000 (83.167) Epoch: [65][11100/11272] Time 0.684 (0.773) Data 0.002 (0.002) Loss 1.5476 (1.7283) Prec@1 62.500 (53.965) Prec@5 83.750 (83.167) Epoch: [65][11110/11272] Time 0.705 (0.773) Data 0.001 (0.002) Loss 1.7225 (1.7284) Prec@1 57.500 (53.965) Prec@5 83.125 (83.168) Epoch: [65][11120/11272] Time 0.812 (0.773) Data 0.001 (0.002) Loss 1.5770 (1.7284) Prec@1 56.250 (53.963) Prec@5 88.125 (83.167) Epoch: [65][11130/11272] Time 0.830 (0.773) Data 0.001 (0.002) Loss 1.9194 (1.7283) Prec@1 51.250 (53.964) Prec@5 81.250 (83.168) Epoch: [65][11140/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.4674 (1.7283) Prec@1 56.875 (53.966) Prec@5 86.875 (83.168) Epoch: [65][11150/11272] Time 0.738 (0.773) Data 0.001 (0.002) Loss 1.6918 (1.7283) Prec@1 53.125 (53.966) Prec@5 84.375 (83.167) Epoch: [65][11160/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.8878 (1.7283) Prec@1 48.125 (53.967) Prec@5 81.250 (83.167) Epoch: [65][11170/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.6516 (1.7284) Prec@1 60.625 (53.966) Prec@5 86.250 (83.167) Epoch: [65][11180/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.6562 (1.7284) Prec@1 56.875 (53.965) Prec@5 81.875 (83.166) Epoch: [65][11190/11272] Time 0.701 (0.773) Data 0.001 (0.002) Loss 1.8181 (1.7284) Prec@1 53.125 (53.964) Prec@5 80.625 (83.166) Epoch: [65][11200/11272] Time 0.813 (0.773) Data 0.001 (0.002) Loss 1.6288 (1.7284) Prec@1 58.125 (53.965) Prec@5 83.750 (83.165) Epoch: [65][11210/11272] Time 0.774 (0.773) Data 0.001 (0.002) Loss 1.7806 (1.7284) Prec@1 52.500 (53.965) Prec@5 80.625 (83.165) Epoch: [65][11220/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6556 (1.7284) Prec@1 50.625 (53.965) Prec@5 88.125 (83.165) Epoch: [65][11230/11272] Time 0.894 (0.773) Data 0.001 (0.002) Loss 2.1166 (1.7284) Prec@1 47.500 (53.965) Prec@5 73.750 (83.164) Epoch: [65][11240/11272] Time 0.838 (0.773) Data 0.003 (0.002) Loss 1.6653 (1.7285) Prec@1 53.750 (53.963) Prec@5 84.375 (83.164) Epoch: [65][11250/11272] Time 0.724 (0.773) Data 0.002 (0.002) Loss 1.7799 (1.7286) Prec@1 55.625 (53.961) Prec@5 81.875 (83.162) Epoch: [65][11260/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.3357 (1.7285) Prec@1 66.250 (53.963) Prec@5 88.750 (83.163) Epoch: [65][11270/11272] Time 0.747 (0.773) Data 0.000 (0.002) Loss 1.9547 (1.7286) Prec@1 51.875 (53.962) Prec@5 78.125 (83.162) Test: [0/229] Time 2.799 (2.799) Loss 1.0234 (1.0234) Prec@1 64.375 (64.375) Prec@5 96.875 (96.875) Test: [10/229] Time 0.317 (0.633) Loss 0.9714 (1.5126) Prec@1 69.375 (58.466) Prec@5 98.125 (88.523) Test: [20/229] Time 0.703 (0.568) Loss 1.8699 (1.6041) Prec@1 51.875 (55.714) Prec@5 84.375 (87.262) Test: [30/229] Time 0.325 (0.521) Loss 1.8915 (1.5520) Prec@1 47.500 (57.883) Prec@5 86.250 (87.440) Test: [40/229] Time 0.839 (0.510) Loss 0.4453 (1.5542) Prec@1 90.625 (57.546) Prec@5 95.625 (87.439) Test: [50/229] Time 0.331 (0.496) Loss 2.2342 (1.6073) Prec@1 38.125 (56.556) Prec@5 80.000 (86.152) Test: [60/229] Time 0.501 (0.489) Loss 2.0957 (1.6017) Prec@1 40.625 (56.496) Prec@5 88.125 (86.311) Test: [70/229] Time 0.391 (0.484) Loss 1.3416 (1.6143) Prec@1 66.250 (56.206) Prec@5 85.000 (86.171) Test: [80/229] Time 0.650 (0.482) Loss 2.0830 (1.6355) Prec@1 39.375 (55.309) Prec@5 84.375 (86.088) Test: [90/229] Time 0.405 (0.479) Loss 1.1219 (1.6438) Prec@1 76.250 (55.192) Prec@5 89.375 (86.016) Test: [100/229] Time 0.790 (0.479) Loss 2.0922 (1.6364) Prec@1 49.375 (55.545) Prec@5 84.375 (86.071) Test: [110/229] Time 0.360 (0.476) Loss 1.2034 (1.6135) Prec@1 66.250 (56.014) Prec@5 88.750 (86.250) Test: [120/229] Time 0.815 (0.475) Loss 2.5877 (1.6310) Prec@1 37.500 (55.558) Prec@5 76.875 (86.023) Test: [130/229] Time 0.309 (0.472) Loss 1.1231 (1.6134) Prec@1 61.250 (55.940) Prec@5 94.375 (86.212) Test: [140/229] Time 0.615 (0.473) Loss 1.8320 (1.6258) Prec@1 53.125 (55.665) Prec@5 85.000 (86.121) Test: [150/229] Time 0.342 (0.471) Loss 1.0606 (1.6393) Prec@1 75.000 (55.306) Prec@5 90.000 (85.940) Test: [160/229] Time 0.661 (0.471) Loss 1.7070 (1.6427) Prec@1 59.375 (55.155) Prec@5 84.375 (85.877) Test: [170/229] Time 0.627 (0.471) Loss 1.6628 (1.6537) Prec@1 55.000 (54.799) Prec@5 86.250 (85.749) Test: [180/229] Time 0.431 (0.470) Loss 2.3419 (1.6605) Prec@1 33.125 (54.758) Prec@5 75.625 (85.608) Test: [190/229] Time 0.515 (0.470) Loss 1.2278 (1.6492) Prec@1 65.625 (55.095) Prec@5 92.500 (85.707) Test: [200/229] Time 0.345 (0.469) Loss 1.5505 (1.6412) Prec@1 55.625 (55.162) Prec@5 86.250 (85.880) Test: [210/229] Time 0.571 (0.470) Loss 1.1016 (1.6320) Prec@1 63.750 (55.435) Prec@5 94.375 (86.007) Test: [220/229] Time 0.317 (0.468) Loss 1.4202 (1.6232) Prec@1 61.875 (55.764) Prec@5 90.625 (86.046) * Prec@1 56.083 Prec@5 86.105 Epoch: [66][0/11272] Time 3.998 (3.998) Data 3.143 (3.143) Loss 1.5167 (1.5167) Prec@1 55.625 (55.625) Prec@5 87.500 (87.500) Epoch: [66][10/11272] Time 0.788 (1.072) Data 0.001 (0.287) Loss 1.5437 (1.6881) Prec@1 58.125 (55.000) Prec@5 87.500 (83.125) Epoch: [66][20/11272] Time 0.802 (0.923) Data 0.001 (0.151) Loss 1.8113 (1.7081) Prec@1 52.500 (53.988) Prec@5 81.250 (83.423) Epoch: [66][30/11272] Time 0.710 (0.872) Data 0.001 (0.103) Loss 1.7372 (1.7189) Prec@1 54.375 (53.992) Prec@5 80.625 (83.407) Epoch: [66][40/11272] Time 0.806 (0.848) Data 0.001 (0.078) Loss 1.7147 (1.7203) Prec@1 55.000 (54.207) Prec@5 82.500 (83.659) Epoch: [66][50/11272] Time 0.818 (0.831) Data 0.001 (0.063) Loss 1.8735 (1.7190) Prec@1 52.500 (54.436) Prec@5 80.625 (83.701) Epoch: [66][60/11272] Time 0.728 (0.817) Data 0.001 (0.053) Loss 1.5292 (1.7198) Prec@1 59.375 (54.600) Prec@5 85.000 (83.637) Epoch: [66][70/11272] Time 0.688 (0.810) Data 0.001 (0.046) Loss 1.9314 (1.7370) Prec@1 48.750 (54.208) Prec@5 78.125 (83.187) Epoch: [66][80/11272] Time 0.824 (0.805) Data 0.001 (0.040) Loss 1.8013 (1.7321) Prec@1 49.375 (54.198) Prec@5 85.000 (83.248) Epoch: [66][90/11272] Time 0.798 (0.801) Data 0.001 (0.036) Loss 2.1521 (1.7349) Prec@1 46.250 (54.245) Prec@5 76.875 (83.194) Epoch: [66][100/11272] Time 0.770 (0.797) Data 0.001 (0.032) Loss 1.9343 (1.7320) Prec@1 55.000 (54.276) Prec@5 77.500 (83.267) Epoch: [66][110/11272] Time 0.709 (0.795) Data 0.001 (0.030) Loss 1.5831 (1.7299) Prec@1 57.500 (54.392) Prec@5 86.250 (83.176) Epoch: [66][120/11272] Time 0.834 (0.793) Data 0.002 (0.027) Loss 2.0278 (1.7360) Prec@1 46.250 (54.272) Prec@5 81.250 (83.032) Epoch: [66][130/11272] Time 0.869 (0.792) Data 0.002 (0.025) Loss 1.6782 (1.7356) Prec@1 56.875 (54.165) Prec@5 82.500 (82.977) Epoch: [66][140/11272] Time 0.682 (0.789) Data 0.001 (0.024) Loss 1.7054 (1.7324) Prec@1 58.125 (54.282) Prec@5 85.625 (83.072) Epoch: [66][150/11272] Time 0.711 (0.788) Data 0.001 (0.022) Loss 1.9568 (1.7364) Prec@1 50.625 (54.176) Prec@5 83.125 (83.001) Epoch: [66][160/11272] Time 0.806 (0.788) Data 0.001 (0.021) Loss 1.8714 (1.7341) Prec@1 54.375 (54.251) Prec@5 79.375 (83.067) Epoch: [66][170/11272] Time 0.709 (0.786) Data 0.003 (0.020) Loss 1.6554 (1.7329) Prec@1 53.125 (54.207) Prec@5 83.125 (83.059) Epoch: [66][180/11272] Time 0.738 (0.786) Data 0.001 (0.019) Loss 1.8153 (1.7324) Prec@1 56.875 (54.275) Prec@5 85.625 (83.056) Epoch: [66][190/11272] Time 0.815 (0.785) Data 0.001 (0.018) Loss 1.6382 (1.7312) Prec@1 56.875 (54.270) Prec@5 82.500 (83.040) Epoch: [66][200/11272] Time 0.806 (0.784) Data 0.001 (0.017) Loss 1.5983 (1.7321) Prec@1 59.375 (54.185) Prec@5 85.625 (83.029) Epoch: [66][210/11272] Time 0.729 (0.783) Data 0.001 (0.016) Loss 1.5334 (1.7317) Prec@1 58.125 (54.182) Prec@5 85.000 (83.009) Epoch: [66][220/11272] Time 0.752 (0.783) Data 0.001 (0.016) Loss 1.4506 (1.7303) Prec@1 61.250 (54.205) Prec@5 87.500 (83.068) Epoch: [66][230/11272] Time 0.821 (0.782) Data 0.001 (0.015) Loss 1.9824 (1.7299) Prec@1 49.375 (54.202) Prec@5 81.250 (83.109) Epoch: [66][240/11272] Time 0.810 (0.782) Data 0.001 (0.014) Loss 1.6450 (1.7323) Prec@1 53.750 (54.136) Prec@5 83.125 (83.081) Epoch: [66][250/11272] Time 0.743 (0.781) Data 0.001 (0.014) Loss 1.5690 (1.7337) Prec@1 60.000 (54.074) Prec@5 85.000 (83.075) Epoch: [66][260/11272] Time 0.708 (0.781) Data 0.002 (0.013) Loss 1.7723 (1.7344) Prec@1 56.875 (54.119) Prec@5 80.625 (83.060) Epoch: [66][270/11272] Time 0.901 (0.781) Data 0.002 (0.013) Loss 1.7885 (1.7334) Prec@1 48.125 (54.091) Prec@5 81.250 (83.081) Epoch: [66][280/11272] Time 0.787 (0.781) Data 0.001 (0.013) Loss 1.9724 (1.7332) Prec@1 46.875 (54.059) Prec@5 80.625 (83.112) Epoch: [66][290/11272] Time 0.725 (0.780) Data 0.001 (0.012) Loss 1.6649 (1.7336) Prec@1 55.625 (54.031) Prec@5 86.875 (83.119) Epoch: [66][300/11272] Time 0.780 (0.780) Data 0.001 (0.012) Loss 1.8381 (1.7326) Prec@1 49.375 (54.005) Prec@5 83.125 (83.142) Epoch: [66][310/11272] Time 0.822 (0.780) Data 0.001 (0.011) Loss 1.9058 (1.7303) Prec@1 48.750 (54.033) Prec@5 80.625 (83.191) Epoch: [66][320/11272] Time 0.719 (0.779) Data 0.001 (0.011) Loss 1.7120 (1.7300) Prec@1 49.375 (54.040) Prec@5 80.625 (83.195) Epoch: [66][330/11272] Time 0.712 (0.779) Data 0.001 (0.011) Loss 1.6816 (1.7307) Prec@1 47.500 (54.003) Prec@5 83.750 (83.184) Epoch: [66][340/11272] Time 0.840 (0.779) Data 0.001 (0.011) Loss 1.8610 (1.7319) Prec@1 51.875 (53.963) Prec@5 81.875 (83.151) Epoch: [66][350/11272] Time 0.821 (0.779) Data 0.001 (0.010) Loss 1.8181 (1.7328) Prec@1 50.000 (53.932) Prec@5 83.750 (83.130) Epoch: [66][360/11272] Time 0.691 (0.778) Data 0.001 (0.010) Loss 1.8743 (1.7335) Prec@1 52.500 (53.937) Prec@5 80.000 (83.097) Epoch: [66][370/11272] Time 0.737 (0.778) Data 0.001 (0.010) Loss 1.7441 (1.7334) Prec@1 56.250 (53.920) Prec@5 81.875 (83.095) Epoch: [66][380/11272] Time 0.836 (0.779) Data 0.001 (0.010) Loss 1.9206 (1.7346) Prec@1 52.500 (53.916) Prec@5 78.750 (83.087) Epoch: [66][390/11272] Time 0.815 (0.778) Data 0.001 (0.009) Loss 1.6764 (1.7340) Prec@1 52.500 (53.942) Prec@5 86.250 (83.131) Epoch: [66][400/11272] Time 0.751 (0.778) Data 0.001 (0.009) Loss 1.7380 (1.7321) Prec@1 56.250 (53.996) Prec@5 83.125 (83.150) Epoch: [66][410/11272] Time 0.719 (0.778) Data 0.002 (0.009) Loss 1.7716 (1.7326) Prec@1 55.000 (53.958) Prec@5 82.500 (83.137) Epoch: [66][420/11272] Time 0.805 (0.778) Data 0.001 (0.009) Loss 1.6578 (1.7318) Prec@1 60.000 (53.973) Prec@5 85.625 (83.156) Epoch: [66][430/11272] Time 0.817 (0.778) Data 0.001 (0.009) Loss 1.8665 (1.7321) Prec@1 47.500 (53.960) Prec@5 79.375 (83.138) Epoch: [66][440/11272] Time 0.696 (0.778) Data 0.001 (0.009) Loss 1.7925 (1.7326) Prec@1 52.500 (53.926) Prec@5 79.375 (83.102) Epoch: [66][450/11272] Time 0.862 (0.778) Data 0.001 (0.008) Loss 1.5858 (1.7319) Prec@1 58.125 (53.930) Prec@5 82.500 (83.122) Epoch: [66][460/11272] Time 0.803 (0.777) Data 0.001 (0.008) Loss 1.7924 (1.7318) Prec@1 55.625 (53.947) Prec@5 82.500 (83.117) Epoch: [66][470/11272] Time 0.748 (0.777) Data 0.002 (0.008) Loss 1.8045 (1.7300) Prec@1 55.625 (54.007) Prec@5 81.250 (83.145) Epoch: [66][480/11272] Time 0.722 (0.777) Data 0.001 (0.008) Loss 1.7690 (1.7305) Prec@1 55.000 (53.977) Prec@5 81.250 (83.125) Epoch: [66][490/11272] Time 0.819 (0.777) Data 0.001 (0.008) Loss 1.5775 (1.7308) Prec@1 55.000 (53.975) Prec@5 85.625 (83.133) Epoch: [66][500/11272] Time 0.830 (0.777) Data 0.001 (0.008) Loss 1.7561 (1.7304) Prec@1 50.625 (53.975) Prec@5 79.375 (83.139) Epoch: [66][510/11272] Time 0.715 (0.777) Data 0.001 (0.008) Loss 1.6615 (1.7303) Prec@1 55.625 (53.970) Prec@5 85.000 (83.148) Epoch: [66][520/11272] Time 0.725 (0.777) Data 0.001 (0.007) Loss 1.7104 (1.7302) Prec@1 55.000 (54.000) Prec@5 83.125 (83.142) Epoch: [66][530/11272] Time 0.821 (0.777) Data 0.001 (0.007) Loss 1.7108 (1.7302) Prec@1 55.000 (54.005) Prec@5 85.000 (83.169) Epoch: [66][540/11272] Time 0.840 (0.777) Data 0.001 (0.007) Loss 1.6269 (1.7304) Prec@1 52.500 (53.993) Prec@5 87.500 (83.164) Epoch: [66][550/11272] Time 0.759 (0.776) Data 0.002 (0.007) Loss 1.7230 (1.7305) Prec@1 56.875 (53.989) Prec@5 83.750 (83.159) Epoch: [66][560/11272] Time 0.725 (0.776) Data 0.001 (0.007) Loss 1.7917 (1.7303) Prec@1 48.750 (53.975) Prec@5 82.500 (83.162) Epoch: [66][570/11272] Time 0.791 (0.776) Data 0.001 (0.007) Loss 1.8583 (1.7311) Prec@1 50.625 (53.992) Prec@5 78.750 (83.129) Epoch: [66][580/11272] Time 0.740 (0.776) Data 0.001 (0.007) Loss 1.6368 (1.7316) Prec@1 56.250 (53.971) Prec@5 83.750 (83.119) Epoch: [66][590/11272] Time 0.748 (0.776) Data 0.001 (0.007) Loss 1.6848 (1.7307) Prec@1 56.250 (54.007) Prec@5 81.875 (83.122) Epoch: [66][600/11272] Time 0.827 (0.776) Data 0.001 (0.007) Loss 1.6643 (1.7306) Prec@1 56.250 (54.012) Prec@5 84.375 (83.119) Epoch: [66][610/11272] Time 0.833 (0.776) Data 0.001 (0.007) Loss 1.5555 (1.7298) Prec@1 59.375 (54.046) Prec@5 85.000 (83.118) Epoch: [66][620/11272] Time 0.703 (0.776) Data 0.001 (0.006) Loss 1.7217 (1.7292) Prec@1 58.125 (54.051) Prec@5 84.375 (83.134) Epoch: [66][630/11272] Time 0.702 (0.776) Data 0.001 (0.006) Loss 1.7985 (1.7286) Prec@1 54.375 (54.046) Prec@5 83.125 (83.146) Epoch: [66][640/11272] Time 0.813 (0.776) Data 0.002 (0.006) Loss 1.9039 (1.7289) Prec@1 53.125 (54.031) Prec@5 76.250 (83.125) Epoch: [66][650/11272] Time 0.815 (0.776) Data 0.001 (0.006) Loss 1.9037 (1.7294) Prec@1 48.125 (54.021) Prec@5 80.000 (83.124) Epoch: [66][660/11272] Time 0.714 (0.776) Data 0.001 (0.006) Loss 1.4124 (1.7288) Prec@1 63.125 (54.039) Prec@5 88.750 (83.141) Epoch: [66][670/11272] Time 0.705 (0.776) Data 0.001 (0.006) Loss 1.4813 (1.7279) Prec@1 59.375 (54.069) Prec@5 85.000 (83.147) Epoch: [66][680/11272] Time 0.850 (0.776) Data 0.002 (0.006) Loss 1.8507 (1.7271) Prec@1 56.250 (54.068) Prec@5 78.125 (83.156) Epoch: [66][690/11272] Time 0.819 (0.775) Data 0.001 (0.006) Loss 1.6651 (1.7276) Prec@1 62.500 (54.049) Prec@5 83.125 (83.151) Epoch: [66][700/11272] Time 0.716 (0.775) Data 0.001 (0.006) Loss 1.5619 (1.7266) Prec@1 55.000 (54.052) Prec@5 85.625 (83.162) Epoch: [66][710/11272] Time 0.805 (0.775) Data 0.001 (0.006) Loss 1.5703 (1.7267) Prec@1 57.500 (54.064) Prec@5 85.625 (83.155) Epoch: [66][720/11272] Time 0.835 (0.775) Data 0.001 (0.006) Loss 1.5094 (1.7266) Prec@1 55.000 (54.067) Prec@5 87.500 (83.169) Epoch: [66][730/11272] Time 0.703 (0.775) Data 0.001 (0.006) Loss 1.6968 (1.7262) Prec@1 56.250 (54.073) Prec@5 83.750 (83.172) Epoch: [66][740/11272] Time 0.710 (0.775) Data 0.001 (0.006) Loss 1.8963 (1.7262) Prec@1 51.875 (54.081) Prec@5 76.875 (83.163) Epoch: [66][750/11272] Time 0.812 (0.775) Data 0.001 (0.006) Loss 1.7281 (1.7265) Prec@1 53.125 (54.076) Prec@5 83.125 (83.146) Epoch: [66][760/11272] Time 0.799 (0.775) Data 0.001 (0.006) Loss 1.4839 (1.7272) Prec@1 58.125 (54.062) Prec@5 86.250 (83.123) Epoch: [66][770/11272] Time 0.746 (0.775) Data 0.001 (0.005) Loss 1.6788 (1.7264) Prec@1 52.500 (54.061) Prec@5 85.625 (83.142) Epoch: [66][780/11272] Time 0.750 (0.775) Data 0.002 (0.005) Loss 1.8822 (1.7262) Prec@1 50.000 (54.064) Prec@5 81.250 (83.152) Epoch: [66][790/11272] Time 0.817 (0.775) Data 0.001 (0.005) Loss 1.7496 (1.7263) Prec@1 52.500 (54.062) Prec@5 83.750 (83.155) Epoch: [66][800/11272] Time 0.811 (0.775) Data 0.001 (0.005) Loss 1.9500 (1.7260) Prec@1 48.750 (54.083) Prec@5 76.875 (83.150) Epoch: [66][810/11272] Time 0.687 (0.774) Data 0.001 (0.005) Loss 1.6953 (1.7262) Prec@1 55.625 (54.078) Prec@5 84.375 (83.149) Epoch: [66][820/11272] Time 0.746 (0.774) Data 0.001 (0.005) Loss 1.9591 (1.7269) Prec@1 50.000 (54.057) Prec@5 78.125 (83.137) Epoch: [66][830/11272] Time 0.806 (0.774) Data 0.001 (0.005) Loss 1.5028 (1.7271) Prec@1 55.000 (54.045) Prec@5 85.000 (83.130) Epoch: [66][840/11272] Time 0.738 (0.774) Data 0.003 (0.005) Loss 1.4629 (1.7271) Prec@1 60.625 (54.049) Prec@5 86.875 (83.126) Epoch: [66][850/11272] Time 0.713 (0.774) Data 0.001 (0.005) Loss 1.8717 (1.7277) Prec@1 51.875 (54.041) Prec@5 81.875 (83.128) Epoch: [66][860/11272] Time 0.779 (0.774) Data 0.001 (0.005) Loss 1.7385 (1.7278) Prec@1 50.000 (54.026) Prec@5 81.875 (83.125) Epoch: [66][870/11272] Time 0.823 (0.774) Data 0.001 (0.005) Loss 1.6150 (1.7274) Prec@1 58.750 (54.026) Prec@5 85.000 (83.139) Epoch: [66][880/11272] Time 0.714 (0.774) Data 0.001 (0.005) Loss 1.7563 (1.7270) Prec@1 55.625 (54.044) Prec@5 81.250 (83.139) Epoch: [66][890/11272] Time 0.709 (0.774) Data 0.001 (0.005) Loss 1.6126 (1.7268) Prec@1 54.375 (54.028) Prec@5 88.750 (83.149) Epoch: [66][900/11272] Time 0.844 (0.774) Data 0.002 (0.005) Loss 1.5792 (1.7269) Prec@1 60.000 (54.022) Prec@5 83.750 (83.144) Epoch: [66][910/11272] Time 0.805 (0.774) Data 0.001 (0.005) Loss 1.5964 (1.7271) Prec@1 56.250 (54.006) Prec@5 86.875 (83.154) Epoch: [66][920/11272] Time 0.717 (0.774) Data 0.001 (0.005) Loss 1.7656 (1.7271) Prec@1 51.875 (54.005) Prec@5 83.750 (83.155) Epoch: [66][930/11272] Time 0.732 (0.773) Data 0.001 (0.005) Loss 1.4381 (1.7267) Prec@1 58.750 (54.019) Prec@5 88.750 (83.162) Epoch: [66][940/11272] Time 0.809 (0.773) Data 0.001 (0.005) Loss 1.9441 (1.7267) Prec@1 51.250 (53.996) Prec@5 78.750 (83.168) Epoch: [66][950/11272] Time 0.809 (0.773) Data 0.001 (0.005) Loss 1.7429 (1.7268) Prec@1 55.000 (53.985) Prec@5 83.750 (83.170) Epoch: [66][960/11272] Time 0.711 (0.773) Data 0.001 (0.005) Loss 1.6058 (1.7272) Prec@1 55.625 (53.987) Prec@5 83.750 (83.165) Epoch: [66][970/11272] Time 0.832 (0.773) Data 0.001 (0.005) Loss 1.5733 (1.7280) Prec@1 55.000 (53.975) Prec@5 86.875 (83.162) Epoch: [66][980/11272] Time 0.860 (0.773) Data 0.001 (0.005) Loss 1.5525 (1.7277) Prec@1 58.750 (53.983) Prec@5 87.500 (83.168) Epoch: [66][990/11272] Time 0.708 (0.773) Data 0.001 (0.005) Loss 1.3047 (1.7271) Prec@1 61.875 (54.001) Prec@5 90.625 (83.170) Epoch: [66][1000/11272] Time 0.763 (0.773) Data 0.001 (0.005) Loss 1.5556 (1.7270) Prec@1 58.125 (53.999) Prec@5 87.500 (83.179) Epoch: [66][1010/11272] Time 0.815 (0.773) Data 0.001 (0.004) Loss 1.6735 (1.7263) Prec@1 54.375 (54.013) Prec@5 82.500 (83.189) Epoch: [66][1020/11272] Time 0.825 (0.773) Data 0.001 (0.004) Loss 1.6688 (1.7259) Prec@1 50.625 (54.005) Prec@5 86.875 (83.198) Epoch: [66][1030/11272] Time 0.714 (0.773) Data 0.001 (0.004) Loss 1.6345 (1.7261) Prec@1 58.750 (54.005) Prec@5 81.875 (83.190) Epoch: [66][1040/11272] Time 0.716 (0.773) Data 0.001 (0.004) Loss 1.6901 (1.7258) Prec@1 55.000 (54.016) Prec@5 85.625 (83.193) Epoch: [66][1050/11272] Time 0.813 (0.773) Data 0.002 (0.004) Loss 1.4035 (1.7257) Prec@1 64.375 (54.019) Prec@5 87.500 (83.197) Epoch: [66][1060/11272] Time 0.801 (0.773) Data 0.001 (0.004) Loss 1.5686 (1.7257) Prec@1 59.375 (54.019) Prec@5 85.000 (83.184) Epoch: [66][1070/11272] Time 0.726 (0.773) Data 0.001 (0.004) Loss 1.7111 (1.7250) Prec@1 52.500 (54.032) Prec@5 83.125 (83.197) Epoch: [66][1080/11272] Time 0.728 (0.773) Data 0.001 (0.004) Loss 1.6721 (1.7254) Prec@1 51.875 (54.020) Prec@5 83.125 (83.190) Epoch: [66][1090/11272] Time 0.849 (0.773) Data 0.001 (0.004) Loss 1.6661 (1.7251) Prec@1 53.125 (54.020) Prec@5 83.125 (83.198) Epoch: [66][1100/11272] Time 0.704 (0.773) Data 0.003 (0.004) Loss 1.6982 (1.7250) Prec@1 53.125 (54.021) Prec@5 81.875 (83.195) Epoch: [66][1110/11272] Time 0.727 (0.773) Data 0.001 (0.004) Loss 1.9452 (1.7247) Prec@1 49.375 (54.028) Prec@5 83.125 (83.206) Epoch: [66][1120/11272] Time 0.867 (0.773) Data 0.001 (0.004) Loss 1.4521 (1.7243) Prec@1 60.625 (54.039) Prec@5 89.375 (83.199) Epoch: [66][1130/11272] Time 0.801 (0.773) Data 0.001 (0.004) Loss 1.6950 (1.7239) Prec@1 56.250 (54.054) Prec@5 85.625 (83.202) Epoch: [66][1140/11272] Time 0.727 (0.773) Data 0.002 (0.004) Loss 1.7594 (1.7236) Prec@1 55.000 (54.060) Prec@5 81.875 (83.207) Epoch: [66][1150/11272] Time 0.700 (0.773) Data 0.001 (0.004) Loss 1.5845 (1.7237) Prec@1 58.125 (54.060) Prec@5 85.625 (83.211) Epoch: [66][1160/11272] Time 0.811 (0.773) Data 0.001 (0.004) Loss 1.4895 (1.7242) Prec@1 61.875 (54.050) Prec@5 88.125 (83.205) Epoch: [66][1170/11272] Time 0.824 (0.773) Data 0.001 (0.004) Loss 1.6772 (1.7251) Prec@1 56.250 (54.030) Prec@5 83.750 (83.196) Epoch: [66][1180/11272] Time 0.718 (0.773) Data 0.001 (0.004) Loss 1.7526 (1.7251) Prec@1 57.500 (54.031) Prec@5 81.250 (83.194) Epoch: [66][1190/11272] Time 0.723 (0.773) Data 0.001 (0.004) Loss 1.5439 (1.7243) Prec@1 54.375 (54.038) Prec@5 88.125 (83.208) Epoch: [66][1200/11272] Time 0.842 (0.773) Data 0.001 (0.004) Loss 1.5123 (1.7241) Prec@1 60.000 (54.042) Prec@5 86.875 (83.210) Epoch: [66][1210/11272] Time 0.793 (0.773) Data 0.001 (0.004) Loss 1.9230 (1.7238) Prec@1 52.500 (54.050) Prec@5 80.625 (83.220) Epoch: [66][1220/11272] Time 0.730 (0.773) Data 0.002 (0.004) Loss 1.7375 (1.7232) Prec@1 51.875 (54.066) Prec@5 84.375 (83.225) Epoch: [66][1230/11272] Time 0.855 (0.773) Data 0.001 (0.004) Loss 1.9002 (1.7235) Prec@1 48.750 (54.057) Prec@5 78.125 (83.222) Epoch: [66][1240/11272] Time 0.806 (0.773) Data 0.001 (0.004) Loss 1.5534 (1.7238) Prec@1 59.375 (54.055) Prec@5 85.625 (83.208) Epoch: [66][1250/11272] Time 0.722 (0.773) Data 0.001 (0.004) Loss 1.5804 (1.7237) Prec@1 52.500 (54.054) Prec@5 86.875 (83.205) Epoch: [66][1260/11272] Time 0.721 (0.773) Data 0.001 (0.004) Loss 1.8042 (1.7237) Prec@1 53.750 (54.062) Prec@5 83.125 (83.197) Epoch: [66][1270/11272] Time 0.815 (0.773) Data 0.001 (0.004) Loss 1.7317 (1.7238) Prec@1 56.875 (54.067) Prec@5 83.125 (83.190) Epoch: [66][1280/11272] Time 0.815 (0.773) Data 0.001 (0.004) Loss 1.5590 (1.7240) Prec@1 59.375 (54.061) Prec@5 87.500 (83.185) Epoch: [66][1290/11272] Time 0.717 (0.773) Data 0.001 (0.004) Loss 1.8276 (1.7239) Prec@1 51.875 (54.066) Prec@5 80.000 (83.176) Epoch: [66][1300/11272] Time 0.722 (0.773) Data 0.002 (0.004) Loss 1.5183 (1.7235) Prec@1 56.250 (54.080) Prec@5 88.125 (83.182) Epoch: [66][1310/11272] Time 0.837 (0.773) Data 0.001 (0.004) Loss 1.8420 (1.7235) Prec@1 47.500 (54.081) Prec@5 78.125 (83.176) Epoch: [66][1320/11272] Time 0.820 (0.773) Data 0.001 (0.004) Loss 1.5711 (1.7230) Prec@1 58.750 (54.092) Prec@5 85.625 (83.183) Epoch: [66][1330/11272] Time 0.717 (0.773) Data 0.001 (0.004) Loss 1.6556 (1.7226) Prec@1 57.500 (54.104) Prec@5 84.375 (83.192) Epoch: [66][1340/11272] Time 0.717 (0.773) Data 0.001 (0.004) Loss 1.7842 (1.7226) Prec@1 51.875 (54.100) Prec@5 81.250 (83.190) Epoch: [66][1350/11272] Time 0.837 (0.773) Data 0.002 (0.004) Loss 1.6581 (1.7227) Prec@1 53.125 (54.098) Prec@5 83.125 (83.185) Epoch: [66][1360/11272] Time 0.785 (0.773) Data 0.001 (0.004) Loss 1.7539 (1.7224) Prec@1 56.875 (54.109) Prec@5 82.500 (83.192) Epoch: [66][1370/11272] Time 0.740 (0.773) Data 0.002 (0.004) Loss 1.6750 (1.7221) Prec@1 53.125 (54.107) Prec@5 81.875 (83.189) Epoch: [66][1380/11272] Time 0.826 (0.773) Data 0.001 (0.004) Loss 1.7208 (1.7218) Prec@1 54.375 (54.117) Prec@5 85.000 (83.194) Epoch: [66][1390/11272] Time 0.824 (0.773) Data 0.001 (0.004) Loss 1.8219 (1.7219) Prec@1 51.250 (54.103) Prec@5 82.500 (83.195) Epoch: [66][1400/11272] Time 0.711 (0.773) Data 0.001 (0.004) Loss 1.6714 (1.7221) Prec@1 52.500 (54.102) Prec@5 84.375 (83.193) Epoch: [66][1410/11272] Time 0.706 (0.773) Data 0.001 (0.004) Loss 1.6772 (1.7217) Prec@1 51.875 (54.114) Prec@5 82.500 (83.194) Epoch: [66][1420/11272] Time 0.811 (0.773) Data 0.002 (0.004) Loss 1.6307 (1.7215) Prec@1 50.625 (54.119) Prec@5 86.875 (83.200) Epoch: [66][1430/11272] Time 0.793 (0.773) Data 0.001 (0.004) Loss 1.5597 (1.7215) Prec@1 60.000 (54.126) Prec@5 85.000 (83.197) Epoch: [66][1440/11272] Time 0.727 (0.773) Data 0.001 (0.004) Loss 1.7587 (1.7213) Prec@1 54.375 (54.133) Prec@5 83.125 (83.199) Epoch: [66][1450/11272] Time 0.770 (0.773) Data 0.002 (0.004) Loss 1.6293 (1.7210) Prec@1 56.250 (54.144) Prec@5 83.125 (83.206) Epoch: [66][1460/11272] Time 0.793 (0.773) Data 0.001 (0.004) Loss 1.7719 (1.7207) Prec@1 58.125 (54.150) Prec@5 82.500 (83.209) Epoch: [66][1470/11272] Time 0.832 (0.773) Data 0.001 (0.004) Loss 1.9187 (1.7206) Prec@1 47.500 (54.152) Prec@5 75.000 (83.205) Epoch: [66][1480/11272] Time 0.719 (0.773) Data 0.002 (0.004) Loss 1.8121 (1.7204) Prec@1 48.125 (54.155) Prec@5 83.750 (83.212) Epoch: [66][1490/11272] Time 0.744 (0.773) Data 0.001 (0.003) Loss 1.6059 (1.7204) Prec@1 57.500 (54.155) Prec@5 86.250 (83.211) Epoch: [66][1500/11272] Time 0.807 (0.773) Data 0.001 (0.003) Loss 1.6176 (1.7197) Prec@1 56.250 (54.173) Prec@5 85.000 (83.218) Epoch: [66][1510/11272] Time 0.733 (0.773) Data 0.001 (0.003) Loss 1.6739 (1.7195) Prec@1 56.875 (54.180) Prec@5 83.750 (83.208) Epoch: [66][1520/11272] Time 0.746 (0.773) Data 0.001 (0.003) Loss 1.8832 (1.7197) Prec@1 56.875 (54.179) Prec@5 78.125 (83.204) Epoch: [66][1530/11272] Time 0.813 (0.773) Data 0.001 (0.003) Loss 1.6197 (1.7194) Prec@1 57.500 (54.185) Prec@5 83.125 (83.208) Epoch: [66][1540/11272] Time 0.810 (0.773) Data 0.002 (0.003) Loss 1.9136 (1.7191) Prec@1 48.750 (54.193) Prec@5 79.375 (83.216) Epoch: [66][1550/11272] Time 0.710 (0.773) Data 0.001 (0.003) Loss 1.7272 (1.7190) Prec@1 56.250 (54.189) Prec@5 78.750 (83.214) Epoch: [66][1560/11272] Time 0.744 (0.773) Data 0.002 (0.003) Loss 1.7235 (1.7188) Prec@1 53.750 (54.194) Prec@5 84.375 (83.225) Epoch: [66][1570/11272] Time 0.860 (0.773) Data 0.002 (0.003) Loss 1.7873 (1.7192) Prec@1 54.375 (54.182) Prec@5 80.625 (83.220) Epoch: [66][1580/11272] Time 0.820 (0.773) Data 0.001 (0.003) Loss 1.7844 (1.7193) Prec@1 53.125 (54.175) Prec@5 85.000 (83.226) Epoch: [66][1590/11272] Time 0.717 (0.773) Data 0.002 (0.003) Loss 1.7612 (1.7194) Prec@1 53.125 (54.175) Prec@5 83.750 (83.223) Epoch: [66][1600/11272] Time 0.713 (0.773) Data 0.001 (0.003) Loss 1.6645 (1.7192) Prec@1 54.375 (54.171) Prec@5 85.000 (83.232) Epoch: [66][1610/11272] Time 0.824 (0.773) Data 0.001 (0.003) Loss 1.5588 (1.7189) Prec@1 56.250 (54.175) Prec@5 86.875 (83.234) Epoch: [66][1620/11272] Time 0.813 (0.773) Data 0.001 (0.003) Loss 1.3821 (1.7191) Prec@1 63.750 (54.172) Prec@5 89.375 (83.231) Epoch: [66][1630/11272] Time 0.714 (0.773) Data 0.001 (0.003) Loss 1.7794 (1.7191) Prec@1 52.500 (54.177) Prec@5 78.125 (83.225) Epoch: [66][1640/11272] Time 0.854 (0.773) Data 0.001 (0.003) Loss 1.5946 (1.7193) Prec@1 60.625 (54.180) Prec@5 88.750 (83.228) Epoch: [66][1650/11272] Time 0.828 (0.773) Data 0.001 (0.003) Loss 1.7086 (1.7190) Prec@1 56.250 (54.179) Prec@5 83.750 (83.231) Epoch: [66][1660/11272] Time 0.733 (0.773) Data 0.001 (0.003) Loss 1.6113 (1.7190) Prec@1 56.875 (54.171) Prec@5 83.750 (83.228) Epoch: [66][1670/11272] Time 0.710 (0.773) Data 0.001 (0.003) Loss 1.7701 (1.7190) Prec@1 49.375 (54.169) Prec@5 83.125 (83.229) Epoch: [66][1680/11272] Time 0.818 (0.773) Data 0.001 (0.003) Loss 1.7039 (1.7190) Prec@1 61.250 (54.173) Prec@5 80.000 (83.222) Epoch: [66][1690/11272] Time 0.805 (0.773) Data 0.001 (0.003) Loss 1.7287 (1.7190) Prec@1 48.750 (54.180) Prec@5 80.625 (83.224) Epoch: [66][1700/11272] Time 0.707 (0.773) Data 0.001 (0.003) Loss 1.5420 (1.7186) Prec@1 57.500 (54.186) Prec@5 86.875 (83.234) Epoch: [66][1710/11272] Time 0.703 (0.773) Data 0.001 (0.003) Loss 1.6635 (1.7183) Prec@1 56.250 (54.201) Prec@5 86.875 (83.240) Epoch: [66][1720/11272] Time 0.832 (0.773) Data 0.001 (0.003) Loss 1.8497 (1.7180) Prec@1 47.500 (54.204) Prec@5 80.625 (83.245) Epoch: [66][1730/11272] Time 0.884 (0.773) Data 0.002 (0.003) Loss 1.6399 (1.7181) Prec@1 53.125 (54.199) Prec@5 86.875 (83.248) Epoch: [66][1740/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.8557 (1.7181) Prec@1 52.500 (54.195) Prec@5 80.000 (83.250) Epoch: [66][1750/11272] Time 0.723 (0.773) Data 0.001 (0.003) Loss 1.9322 (1.7182) Prec@1 48.750 (54.195) Prec@5 76.250 (83.244) Epoch: [66][1760/11272] Time 0.810 (0.773) Data 0.001 (0.003) Loss 1.7792 (1.7188) Prec@1 51.875 (54.181) Prec@5 81.875 (83.231) Epoch: [66][1770/11272] Time 0.747 (0.773) Data 0.003 (0.003) Loss 1.6146 (1.7191) Prec@1 60.000 (54.176) Prec@5 83.125 (83.227) Epoch: [66][1780/11272] Time 0.730 (0.773) Data 0.002 (0.003) Loss 1.5949 (1.7192) Prec@1 51.250 (54.174) Prec@5 86.250 (83.225) Epoch: [66][1790/11272] Time 0.808 (0.773) Data 0.001 (0.003) Loss 1.6036 (1.7191) Prec@1 60.000 (54.183) Prec@5 85.000 (83.229) Epoch: [66][1800/11272] Time 0.798 (0.773) Data 0.001 (0.003) Loss 1.8328 (1.7192) Prec@1 45.625 (54.179) Prec@5 80.000 (83.226) Epoch: [66][1810/11272] Time 0.730 (0.773) Data 0.001 (0.003) Loss 1.6181 (1.7191) Prec@1 55.000 (54.180) Prec@5 81.250 (83.225) Epoch: [66][1820/11272] Time 0.690 (0.773) Data 0.001 (0.003) Loss 1.7656 (1.7192) Prec@1 49.375 (54.182) Prec@5 82.500 (83.226) Epoch: [66][1830/11272] Time 0.847 (0.773) Data 0.001 (0.003) Loss 1.5889 (1.7189) Prec@1 60.000 (54.193) Prec@5 86.875 (83.231) Epoch: [66][1840/11272] Time 0.810 (0.773) Data 0.001 (0.003) Loss 1.4679 (1.7186) Prec@1 58.125 (54.195) Prec@5 86.875 (83.235) Epoch: [66][1850/11272] Time 0.711 (0.773) Data 0.001 (0.003) Loss 1.7865 (1.7184) Prec@1 46.875 (54.193) Prec@5 86.250 (83.247) Epoch: [66][1860/11272] Time 0.708 (0.773) Data 0.001 (0.003) Loss 1.6992 (1.7183) Prec@1 53.125 (54.194) Prec@5 83.125 (83.246) Epoch: [66][1870/11272] Time 0.806 (0.773) Data 0.001 (0.003) Loss 1.9292 (1.7185) Prec@1 54.375 (54.191) Prec@5 77.500 (83.241) Epoch: [66][1880/11272] Time 0.819 (0.773) Data 0.001 (0.003) Loss 1.7224 (1.7184) Prec@1 55.000 (54.192) Prec@5 84.375 (83.239) Epoch: [66][1890/11272] Time 0.717 (0.773) Data 0.001 (0.003) Loss 1.7193 (1.7183) Prec@1 50.625 (54.192) Prec@5 84.375 (83.246) Epoch: [66][1900/11272] Time 0.783 (0.773) Data 0.001 (0.003) Loss 1.7314 (1.7185) Prec@1 50.000 (54.190) Prec@5 84.375 (83.243) Epoch: [66][1910/11272] Time 0.800 (0.773) Data 0.001 (0.003) Loss 1.5820 (1.7183) Prec@1 55.625 (54.193) Prec@5 86.875 (83.250) Epoch: [66][1920/11272] Time 0.694 (0.773) Data 0.001 (0.003) Loss 1.6369 (1.7182) Prec@1 55.000 (54.192) Prec@5 85.625 (83.251) Epoch: [66][1930/11272] Time 0.729 (0.773) Data 0.001 (0.003) Loss 1.7440 (1.7181) Prec@1 55.625 (54.201) Prec@5 82.500 (83.249) Epoch: [66][1940/11272] Time 0.834 (0.773) Data 0.002 (0.003) Loss 1.9359 (1.7180) Prec@1 52.500 (54.209) Prec@5 83.750 (83.257) Epoch: [66][1950/11272] Time 0.808 (0.773) Data 0.001 (0.003) Loss 1.9715 (1.7181) Prec@1 45.000 (54.205) Prec@5 80.625 (83.257) Epoch: [66][1960/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.8552 (1.7176) Prec@1 51.875 (54.217) Prec@5 81.875 (83.264) Epoch: [66][1970/11272] Time 0.713 (0.773) Data 0.001 (0.003) Loss 1.6305 (1.7175) Prec@1 55.000 (54.216) Prec@5 83.750 (83.266) Epoch: [66][1980/11272] Time 0.858 (0.773) Data 0.001 (0.003) Loss 1.5748 (1.7176) Prec@1 57.500 (54.207) Prec@5 86.875 (83.274) Epoch: [66][1990/11272] Time 0.869 (0.773) Data 0.002 (0.003) Loss 1.8845 (1.7177) Prec@1 48.750 (54.197) Prec@5 82.500 (83.276) Epoch: [66][2000/11272] Time 0.730 (0.773) Data 0.001 (0.003) Loss 1.9250 (1.7177) Prec@1 51.250 (54.197) Prec@5 81.250 (83.277) Epoch: [66][2010/11272] Time 0.702 (0.773) Data 0.001 (0.003) Loss 1.6161 (1.7177) Prec@1 59.375 (54.199) Prec@5 85.625 (83.278) Epoch: [66][2020/11272] Time 0.796 (0.773) Data 0.002 (0.003) Loss 1.5910 (1.7174) Prec@1 55.000 (54.207) Prec@5 85.625 (83.281) Epoch: [66][2030/11272] Time 0.704 (0.773) Data 0.003 (0.003) Loss 1.7850 (1.7177) Prec@1 56.250 (54.206) Prec@5 81.250 (83.271) Epoch: [66][2040/11272] Time 0.721 (0.773) Data 0.001 (0.003) Loss 1.5563 (1.7177) Prec@1 57.500 (54.204) Prec@5 85.625 (83.270) Epoch: [66][2050/11272] Time 0.815 (0.773) Data 0.001 (0.003) Loss 1.4252 (1.7176) Prec@1 61.875 (54.207) Prec@5 89.375 (83.275) Epoch: [66][2060/11272] Time 0.824 (0.773) Data 0.002 (0.003) Loss 1.6392 (1.7176) Prec@1 56.875 (54.210) Prec@5 81.250 (83.272) Epoch: [66][2070/11272] Time 0.708 (0.773) Data 0.002 (0.003) Loss 1.7463 (1.7173) Prec@1 52.500 (54.211) Prec@5 83.750 (83.281) Epoch: [66][2080/11272] Time 0.708 (0.773) Data 0.001 (0.003) Loss 1.6612 (1.7175) Prec@1 56.250 (54.202) Prec@5 83.125 (83.277) Epoch: [66][2090/11272] Time 0.836 (0.773) Data 0.001 (0.003) Loss 1.6804 (1.7175) Prec@1 57.500 (54.204) Prec@5 83.750 (83.274) Epoch: [66][2100/11272] Time 0.844 (0.773) Data 0.002 (0.003) Loss 1.7372 (1.7175) Prec@1 53.750 (54.200) Prec@5 81.875 (83.273) Epoch: [66][2110/11272] Time 0.707 (0.773) Data 0.001 (0.003) Loss 1.9579 (1.7176) Prec@1 51.875 (54.200) Prec@5 79.375 (83.274) Epoch: [66][2120/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.6279 (1.7176) Prec@1 53.750 (54.198) Prec@5 83.750 (83.269) Epoch: [66][2130/11272] Time 0.831 (0.773) Data 0.001 (0.003) Loss 1.7351 (1.7175) Prec@1 54.375 (54.198) Prec@5 83.125 (83.274) Epoch: [66][2140/11272] Time 0.832 (0.773) Data 0.001 (0.003) Loss 1.8885 (1.7172) Prec@1 50.000 (54.205) Prec@5 81.875 (83.280) Epoch: [66][2150/11272] Time 0.707 (0.773) Data 0.001 (0.003) Loss 1.5074 (1.7170) Prec@1 51.875 (54.205) Prec@5 88.750 (83.289) Epoch: [66][2160/11272] Time 0.894 (0.773) Data 0.001 (0.003) Loss 1.6335 (1.7171) Prec@1 58.125 (54.199) Prec@5 82.500 (83.283) Epoch: [66][2170/11272] Time 0.816 (0.773) Data 0.001 (0.003) Loss 1.6284 (1.7174) Prec@1 57.500 (54.197) Prec@5 83.750 (83.280) Epoch: [66][2180/11272] Time 0.744 (0.773) Data 0.002 (0.003) Loss 1.8294 (1.7177) Prec@1 48.125 (54.190) Prec@5 81.250 (83.277) Epoch: [66][2190/11272] Time 0.719 (0.773) Data 0.001 (0.003) Loss 1.7925 (1.7180) Prec@1 56.250 (54.184) Prec@5 78.125 (83.273) Epoch: [66][2200/11272] Time 0.818 (0.773) Data 0.001 (0.003) Loss 1.7271 (1.7179) Prec@1 50.625 (54.180) Prec@5 85.000 (83.273) Epoch: [66][2210/11272] Time 0.814 (0.773) Data 0.001 (0.003) Loss 1.7964 (1.7180) Prec@1 53.750 (54.182) Prec@5 82.500 (83.272) Epoch: [66][2220/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.7715 (1.7185) Prec@1 50.000 (54.168) Prec@5 83.750 (83.265) Epoch: [66][2230/11272] Time 0.708 (0.773) Data 0.001 (0.003) Loss 1.8052 (1.7184) Prec@1 53.750 (54.167) Prec@5 80.625 (83.263) Epoch: [66][2240/11272] Time 0.824 (0.773) Data 0.001 (0.003) Loss 1.7573 (1.7184) Prec@1 49.375 (54.167) Prec@5 82.500 (83.261) Epoch: [66][2250/11272] Time 0.807 (0.773) Data 0.001 (0.003) Loss 1.5918 (1.7188) Prec@1 59.375 (54.161) Prec@5 87.500 (83.261) Epoch: [66][2260/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.8009 (1.7190) Prec@1 52.500 (54.153) Prec@5 80.000 (83.256) Epoch: [66][2270/11272] Time 0.725 (0.773) Data 0.002 (0.003) Loss 1.6531 (1.7189) Prec@1 57.500 (54.160) Prec@5 87.500 (83.259) Epoch: [66][2280/11272] Time 0.816 (0.773) Data 0.001 (0.003) Loss 1.7537 (1.7188) Prec@1 52.500 (54.158) Prec@5 82.500 (83.264) Epoch: [66][2290/11272] Time 0.823 (0.773) Data 0.001 (0.003) Loss 1.7691 (1.7191) Prec@1 53.125 (54.154) Prec@5 81.250 (83.261) Epoch: [66][2300/11272] Time 0.708 (0.773) Data 0.001 (0.003) Loss 1.5737 (1.7191) Prec@1 57.500 (54.148) Prec@5 88.125 (83.259) Epoch: [66][2310/11272] Time 0.822 (0.772) Data 0.001 (0.003) Loss 1.6679 (1.7191) Prec@1 61.875 (54.153) Prec@5 80.625 (83.258) Epoch: [66][2320/11272] Time 0.823 (0.772) Data 0.001 (0.003) Loss 1.8213 (1.7189) Prec@1 51.875 (54.159) Prec@5 79.375 (83.259) Epoch: [66][2330/11272] Time 0.718 (0.772) Data 0.001 (0.003) Loss 1.9269 (1.7189) Prec@1 52.500 (54.161) Prec@5 78.750 (83.260) Epoch: [66][2340/11272] Time 0.707 (0.772) Data 0.001 (0.003) Loss 1.4726 (1.7187) Prec@1 58.125 (54.159) Prec@5 84.375 (83.260) Epoch: [66][2350/11272] Time 0.826 (0.773) Data 0.001 (0.003) Loss 1.6336 (1.7185) Prec@1 53.750 (54.157) Prec@5 87.500 (83.266) Epoch: [66][2360/11272] Time 0.814 (0.773) Data 0.001 (0.003) Loss 1.6456 (1.7184) Prec@1 53.750 (54.156) Prec@5 85.000 (83.265) Epoch: [66][2370/11272] Time 0.706 (0.772) Data 0.001 (0.003) Loss 1.7716 (1.7182) Prec@1 53.750 (54.150) Prec@5 85.000 (83.268) Epoch: [66][2380/11272] Time 0.708 (0.772) Data 0.001 (0.003) Loss 1.8090 (1.7181) Prec@1 56.250 (54.159) Prec@5 81.875 (83.273) Epoch: [66][2390/11272] Time 0.785 (0.772) Data 0.001 (0.003) Loss 1.5387 (1.7179) Prec@1 56.250 (54.154) Prec@5 87.500 (83.277) Epoch: [66][2400/11272] Time 0.803 (0.772) Data 0.001 (0.003) Loss 1.7295 (1.7180) Prec@1 56.250 (54.150) Prec@5 80.625 (83.275) Epoch: [66][2410/11272] Time 0.705 (0.772) Data 0.002 (0.003) Loss 1.9082 (1.7183) Prec@1 50.000 (54.146) Prec@5 81.875 (83.269) Epoch: [66][2420/11272] Time 0.717 (0.772) Data 0.001 (0.003) Loss 1.5735 (1.7184) Prec@1 54.375 (54.146) Prec@5 88.125 (83.265) Epoch: [66][2430/11272] Time 0.799 (0.772) Data 0.002 (0.003) Loss 1.6079 (1.7183) Prec@1 56.875 (54.153) Prec@5 86.250 (83.263) Epoch: [66][2440/11272] Time 0.707 (0.772) Data 0.001 (0.003) Loss 1.7173 (1.7183) Prec@1 48.125 (54.148) Prec@5 87.500 (83.263) Epoch: [66][2450/11272] Time 0.720 (0.772) Data 0.001 (0.003) Loss 1.5789 (1.7182) Prec@1 60.000 (54.150) Prec@5 83.750 (83.260) Epoch: [66][2460/11272] Time 0.818 (0.772) Data 0.001 (0.003) Loss 1.6383 (1.7180) Prec@1 58.125 (54.154) Prec@5 84.375 (83.261) Epoch: [66][2470/11272] Time 0.790 (0.772) Data 0.001 (0.003) Loss 1.7688 (1.7180) Prec@1 51.250 (54.149) Prec@5 81.250 (83.262) Epoch: [66][2480/11272] Time 0.704 (0.772) Data 0.002 (0.003) Loss 1.7907 (1.7180) Prec@1 51.875 (54.146) Prec@5 81.875 (83.258) Epoch: [66][2490/11272] Time 0.725 (0.772) Data 0.001 (0.003) Loss 1.5989 (1.7180) Prec@1 56.250 (54.145) Prec@5 83.750 (83.258) Epoch: [66][2500/11272] Time 0.810 (0.772) Data 0.001 (0.003) Loss 1.8003 (1.7182) Prec@1 51.250 (54.142) Prec@5 83.125 (83.255) Epoch: [66][2510/11272] Time 0.809 (0.772) Data 0.001 (0.003) Loss 1.7853 (1.7186) Prec@1 55.000 (54.132) Prec@5 81.875 (83.249) Epoch: [66][2520/11272] Time 0.701 (0.772) Data 0.001 (0.003) Loss 1.7006 (1.7185) Prec@1 54.375 (54.133) Prec@5 81.875 (83.250) Epoch: [66][2530/11272] Time 0.723 (0.772) Data 0.002 (0.003) Loss 1.9677 (1.7188) Prec@1 51.250 (54.131) Prec@5 80.625 (83.245) Epoch: [66][2540/11272] Time 0.871 (0.772) Data 0.002 (0.003) Loss 1.7985 (1.7186) Prec@1 53.750 (54.135) Prec@5 83.125 (83.251) Epoch: [66][2550/11272] Time 0.824 (0.772) Data 0.001 (0.003) Loss 1.6844 (1.7187) Prec@1 54.375 (54.130) Prec@5 82.500 (83.253) Epoch: [66][2560/11272] Time 0.698 (0.772) Data 0.001 (0.003) Loss 1.5667 (1.7186) Prec@1 55.625 (54.132) Prec@5 85.625 (83.252) Epoch: [66][2570/11272] Time 0.852 (0.773) Data 0.001 (0.003) Loss 1.5867 (1.7186) Prec@1 54.375 (54.126) Prec@5 86.250 (83.255) Epoch: [66][2580/11272] Time 0.823 (0.773) Data 0.001 (0.003) Loss 1.7876 (1.7187) Prec@1 51.250 (54.124) Prec@5 84.375 (83.257) Epoch: [66][2590/11272] Time 0.709 (0.772) Data 0.001 (0.003) Loss 1.8354 (1.7186) Prec@1 52.500 (54.125) Prec@5 84.375 (83.258) Epoch: [66][2600/11272] Time 0.727 (0.772) Data 0.002 (0.003) Loss 1.6343 (1.7188) Prec@1 59.375 (54.128) Prec@5 83.125 (83.255) Epoch: [66][2610/11272] Time 0.812 (0.772) Data 0.001 (0.003) Loss 1.7031 (1.7189) Prec@1 54.375 (54.126) Prec@5 83.750 (83.250) Epoch: [66][2620/11272] Time 0.862 (0.772) Data 0.001 (0.003) Loss 1.6804 (1.7190) Prec@1 55.000 (54.120) Prec@5 83.750 (83.253) Epoch: [66][2630/11272] Time 0.723 (0.772) Data 0.001 (0.003) Loss 1.6624 (1.7192) Prec@1 53.750 (54.116) Prec@5 83.125 (83.250) Epoch: [66][2640/11272] Time 0.713 (0.772) Data 0.001 (0.003) Loss 1.7103 (1.7193) Prec@1 56.875 (54.114) Prec@5 81.250 (83.246) Epoch: [66][2650/11272] Time 0.860 (0.772) Data 0.002 (0.003) Loss 2.1269 (1.7193) Prec@1 47.500 (54.118) Prec@5 75.625 (83.244) Epoch: [66][2660/11272] Time 0.824 (0.772) Data 0.002 (0.003) Loss 1.7601 (1.7192) Prec@1 57.500 (54.118) Prec@5 81.875 (83.245) Epoch: [66][2670/11272] Time 0.775 (0.772) Data 0.002 (0.003) Loss 1.8551 (1.7193) Prec@1 46.250 (54.114) Prec@5 84.375 (83.246) Epoch: [66][2680/11272] Time 0.744 (0.772) Data 0.001 (0.003) Loss 1.6304 (1.7192) Prec@1 55.000 (54.113) Prec@5 86.250 (83.249) Epoch: [66][2690/11272] Time 0.839 (0.772) Data 0.002 (0.003) Loss 1.5427 (1.7192) Prec@1 61.250 (54.113) Prec@5 86.250 (83.251) Epoch: [66][2700/11272] Time 0.715 (0.772) Data 0.003 (0.003) Loss 1.7738 (1.7188) Prec@1 47.500 (54.122) Prec@5 83.125 (83.256) Epoch: [66][2710/11272] Time 0.711 (0.772) Data 0.001 (0.003) Loss 1.8033 (1.7188) Prec@1 51.875 (54.128) Prec@5 80.625 (83.257) Epoch: [66][2720/11272] Time 0.830 (0.772) Data 0.001 (0.003) Loss 1.7341 (1.7188) Prec@1 50.625 (54.126) Prec@5 83.125 (83.259) Epoch: [66][2730/11272] Time 0.821 (0.772) Data 0.001 (0.003) Loss 1.8100 (1.7187) Prec@1 58.125 (54.132) Prec@5 81.250 (83.263) Epoch: [66][2740/11272] Time 0.720 (0.772) Data 0.002 (0.003) Loss 1.6923 (1.7185) Prec@1 57.500 (54.137) Prec@5 80.625 (83.268) Epoch: [66][2750/11272] Time 0.732 (0.772) Data 0.001 (0.003) Loss 1.8160 (1.7187) Prec@1 53.125 (54.135) Prec@5 77.500 (83.261) Epoch: [66][2760/11272] Time 0.818 (0.772) Data 0.001 (0.003) Loss 1.7253 (1.7185) Prec@1 53.750 (54.137) Prec@5 83.125 (83.264) Epoch: [66][2770/11272] Time 0.807 (0.772) Data 0.001 (0.003) Loss 1.8120 (1.7185) Prec@1 57.500 (54.142) Prec@5 83.750 (83.263) Epoch: [66][2780/11272] Time 0.728 (0.772) Data 0.002 (0.003) Loss 1.3330 (1.7183) Prec@1 66.875 (54.148) Prec@5 88.750 (83.265) Epoch: [66][2790/11272] Time 0.712 (0.772) Data 0.001 (0.003) Loss 1.5765 (1.7181) Prec@1 53.750 (54.149) Prec@5 88.125 (83.267) Epoch: [66][2800/11272] Time 0.846 (0.772) Data 0.001 (0.003) Loss 1.7271 (1.7183) Prec@1 50.625 (54.142) Prec@5 82.500 (83.268) Epoch: [66][2810/11272] Time 0.807 (0.772) Data 0.001 (0.003) Loss 1.8321 (1.7185) Prec@1 46.875 (54.136) Prec@5 86.250 (83.269) Epoch: [66][2820/11272] Time 0.730 (0.772) Data 0.001 (0.003) Loss 1.6491 (1.7185) Prec@1 53.125 (54.129) Prec@5 85.625 (83.268) Epoch: [66][2830/11272] Time 0.858 (0.772) Data 0.002 (0.003) Loss 1.6468 (1.7185) Prec@1 57.500 (54.132) Prec@5 83.125 (83.271) Epoch: [66][2840/11272] Time 0.798 (0.772) Data 0.001 (0.003) Loss 1.8857 (1.7183) Prec@1 53.750 (54.134) Prec@5 76.875 (83.270) Epoch: [66][2850/11272] Time 0.713 (0.772) Data 0.001 (0.002) Loss 1.6564 (1.7180) Prec@1 49.375 (54.139) Prec@5 85.000 (83.273) Epoch: [66][2860/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.7993 (1.7182) Prec@1 48.125 (54.135) Prec@5 83.125 (83.271) Epoch: [66][2870/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.5519 (1.7183) Prec@1 56.875 (54.134) Prec@5 88.750 (83.268) Epoch: [66][2880/11272] Time 0.790 (0.772) Data 0.001 (0.002) Loss 1.5610 (1.7183) Prec@1 58.750 (54.137) Prec@5 83.750 (83.267) Epoch: [66][2890/11272] Time 0.728 (0.772) Data 0.002 (0.002) Loss 1.6060 (1.7180) Prec@1 58.750 (54.138) Prec@5 85.625 (83.277) Epoch: [66][2900/11272] Time 0.729 (0.772) Data 0.001 (0.002) Loss 1.8230 (1.7181) Prec@1 51.250 (54.136) Prec@5 81.250 (83.275) Epoch: [66][2910/11272] Time 0.850 (0.772) Data 0.001 (0.002) Loss 1.9274 (1.7184) Prec@1 53.125 (54.132) Prec@5 78.750 (83.269) Epoch: [66][2920/11272] Time 0.852 (0.772) Data 0.001 (0.002) Loss 1.5785 (1.7184) Prec@1 53.125 (54.129) Prec@5 85.625 (83.272) Epoch: [66][2930/11272] Time 0.726 (0.772) Data 0.001 (0.002) Loss 1.9142 (1.7185) Prec@1 53.125 (54.129) Prec@5 77.500 (83.270) Epoch: [66][2940/11272] Time 0.729 (0.772) Data 0.001 (0.002) Loss 1.6404 (1.7185) Prec@1 51.875 (54.129) Prec@5 86.875 (83.270) Epoch: [66][2950/11272] Time 0.809 (0.772) Data 0.002 (0.002) Loss 1.8012 (1.7185) Prec@1 50.625 (54.127) Prec@5 83.750 (83.271) Epoch: [66][2960/11272] Time 0.706 (0.772) Data 0.003 (0.002) Loss 1.7062 (1.7187) Prec@1 58.125 (54.127) Prec@5 81.875 (83.265) Epoch: [66][2970/11272] Time 0.734 (0.772) Data 0.002 (0.002) Loss 1.7378 (1.7189) Prec@1 50.625 (54.126) Prec@5 84.375 (83.261) Epoch: [66][2980/11272] Time 0.827 (0.772) Data 0.001 (0.002) Loss 1.6050 (1.7191) Prec@1 58.750 (54.125) Prec@5 86.250 (83.256) Epoch: [66][2990/11272] Time 0.850 (0.772) Data 0.002 (0.002) Loss 1.5627 (1.7191) Prec@1 59.375 (54.120) Prec@5 85.625 (83.257) Epoch: [66][3000/11272] Time 0.696 (0.772) Data 0.001 (0.002) Loss 1.8483 (1.7190) Prec@1 55.625 (54.122) Prec@5 80.625 (83.259) Epoch: [66][3010/11272] Time 0.722 (0.772) Data 0.001 (0.002) Loss 1.5569 (1.7190) Prec@1 57.500 (54.124) Prec@5 85.000 (83.257) Epoch: [66][3020/11272] Time 0.826 (0.772) Data 0.001 (0.002) Loss 1.7315 (1.7190) Prec@1 55.625 (54.125) Prec@5 80.625 (83.257) Epoch: [66][3030/11272] Time 0.807 (0.772) Data 0.001 (0.002) Loss 1.7914 (1.7190) Prec@1 49.375 (54.126) Prec@5 81.250 (83.256) Epoch: [66][3040/11272] Time 0.740 (0.772) Data 0.001 (0.002) Loss 1.7392 (1.7188) Prec@1 50.625 (54.127) Prec@5 85.000 (83.263) Epoch: [66][3050/11272] Time 0.731 (0.772) Data 0.001 (0.002) Loss 1.9449 (1.7188) Prec@1 45.000 (54.124) Prec@5 79.375 (83.264) Epoch: [66][3060/11272] Time 0.815 (0.772) Data 0.001 (0.002) Loss 1.5082 (1.7188) Prec@1 56.875 (54.121) Prec@5 90.000 (83.263) Epoch: [66][3070/11272] Time 0.774 (0.772) Data 0.001 (0.002) Loss 1.7567 (1.7190) Prec@1 48.750 (54.117) Prec@5 83.125 (83.260) Epoch: [66][3080/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.6864 (1.7189) Prec@1 58.750 (54.119) Prec@5 84.375 (83.260) Epoch: [66][3090/11272] Time 0.802 (0.772) Data 0.001 (0.002) Loss 1.6920 (1.7188) Prec@1 54.375 (54.124) Prec@5 81.875 (83.257) Epoch: [66][3100/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.5295 (1.7185) Prec@1 55.000 (54.134) Prec@5 90.000 (83.263) Epoch: [66][3110/11272] Time 0.719 (0.772) Data 0.001 (0.002) Loss 1.7515 (1.7185) Prec@1 55.000 (54.134) Prec@5 86.250 (83.267) Epoch: [66][3120/11272] Time 0.719 (0.772) Data 0.001 (0.002) Loss 1.6334 (1.7185) Prec@1 56.875 (54.133) Prec@5 83.125 (83.267) Epoch: [66][3130/11272] Time 0.844 (0.773) Data 0.002 (0.002) Loss 1.7176 (1.7183) Prec@1 55.000 (54.131) Prec@5 78.750 (83.266) Epoch: [66][3140/11272] Time 0.815 (0.773) Data 0.001 (0.002) Loss 1.6771 (1.7185) Prec@1 56.250 (54.130) Prec@5 87.500 (83.265) Epoch: [66][3150/11272] Time 0.725 (0.772) Data 0.001 (0.002) Loss 1.5400 (1.7185) Prec@1 56.875 (54.125) Prec@5 87.500 (83.263) Epoch: [66][3160/11272] Time 0.707 (0.772) Data 0.001 (0.002) Loss 1.9394 (1.7187) Prec@1 49.375 (54.119) Prec@5 81.250 (83.258) Epoch: [66][3170/11272] Time 0.809 (0.772) Data 0.001 (0.002) Loss 1.4400 (1.7186) Prec@1 60.000 (54.121) Prec@5 88.750 (83.260) Epoch: [66][3180/11272] Time 0.809 (0.772) Data 0.001 (0.002) Loss 1.6562 (1.7185) Prec@1 60.000 (54.123) Prec@5 80.000 (83.263) Epoch: [66][3190/11272] Time 0.728 (0.772) Data 0.002 (0.002) Loss 1.5860 (1.7184) Prec@1 56.875 (54.128) Prec@5 86.250 (83.267) Epoch: [66][3200/11272] Time 0.736 (0.772) Data 0.001 (0.002) Loss 1.5542 (1.7181) Prec@1 65.000 (54.138) Prec@5 85.625 (83.274) Epoch: [66][3210/11272] Time 0.794 (0.772) Data 0.002 (0.002) Loss 1.6583 (1.7184) Prec@1 60.000 (54.142) Prec@5 82.500 (83.270) Epoch: [66][3220/11272] Time 0.825 (0.772) Data 0.001 (0.002) Loss 1.7292 (1.7183) Prec@1 53.750 (54.144) Prec@5 81.875 (83.270) Epoch: [66][3230/11272] Time 0.710 (0.772) Data 0.001 (0.002) Loss 1.9043 (1.7184) Prec@1 48.125 (54.140) Prec@5 78.125 (83.270) Epoch: [66][3240/11272] Time 0.806 (0.772) Data 0.001 (0.002) Loss 1.7408 (1.7185) Prec@1 45.625 (54.138) Prec@5 85.000 (83.269) Epoch: [66][3250/11272] Time 0.852 (0.772) Data 0.002 (0.002) Loss 1.8099 (1.7185) Prec@1 52.500 (54.140) Prec@5 80.625 (83.272) Epoch: [66][3260/11272] Time 0.708 (0.772) Data 0.001 (0.002) Loss 1.6750 (1.7185) Prec@1 55.625 (54.135) Prec@5 81.875 (83.269) Epoch: [66][3270/11272] Time 0.742 (0.772) Data 0.001 (0.002) Loss 1.5964 (1.7187) Prec@1 56.875 (54.133) Prec@5 83.125 (83.267) Epoch: [66][3280/11272] Time 0.813 (0.772) Data 0.001 (0.002) Loss 2.0440 (1.7188) Prec@1 46.875 (54.130) Prec@5 80.625 (83.264) Epoch: [66][3290/11272] Time 0.846 (0.772) Data 0.001 (0.002) Loss 1.7557 (1.7190) Prec@1 53.125 (54.122) Prec@5 83.750 (83.260) Epoch: [66][3300/11272] Time 0.726 (0.772) Data 0.001 (0.002) Loss 1.7637 (1.7190) Prec@1 53.750 (54.123) Prec@5 77.500 (83.259) Epoch: [66][3310/11272] Time 0.707 (0.772) Data 0.001 (0.002) Loss 1.5484 (1.7190) Prec@1 62.500 (54.120) Prec@5 83.750 (83.258) Epoch: [66][3320/11272] Time 0.832 (0.772) Data 0.002 (0.002) Loss 1.9500 (1.7192) Prec@1 46.875 (54.113) Prec@5 81.875 (83.257) Epoch: [66][3330/11272] Time 0.805 (0.772) Data 0.001 (0.002) Loss 1.8580 (1.7190) Prec@1 53.750 (54.117) Prec@5 80.625 (83.258) Epoch: [66][3340/11272] Time 0.715 (0.772) Data 0.001 (0.002) Loss 1.7768 (1.7191) Prec@1 51.875 (54.114) Prec@5 83.125 (83.257) Epoch: [66][3350/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.6971 (1.7191) Prec@1 56.875 (54.116) Prec@5 85.000 (83.258) Epoch: [66][3360/11272] Time 0.822 (0.772) Data 0.001 (0.002) Loss 1.8566 (1.7192) Prec@1 51.250 (54.114) Prec@5 80.625 (83.257) Epoch: [66][3370/11272] Time 0.709 (0.772) Data 0.001 (0.002) Loss 1.7008 (1.7192) Prec@1 51.875 (54.111) Prec@5 86.250 (83.258) Epoch: [66][3380/11272] Time 0.730 (0.772) Data 0.001 (0.002) Loss 1.6896 (1.7192) Prec@1 55.000 (54.108) Prec@5 81.250 (83.258) Epoch: [66][3390/11272] Time 0.819 (0.772) Data 0.001 (0.002) Loss 1.8731 (1.7192) Prec@1 53.125 (54.104) Prec@5 80.000 (83.260) Epoch: [66][3400/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.8970 (1.7192) Prec@1 53.750 (54.109) Prec@5 79.375 (83.260) Epoch: [66][3410/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.9840 (1.7193) Prec@1 41.875 (54.103) Prec@5 80.625 (83.264) Epoch: [66][3420/11272] Time 0.715 (0.772) Data 0.001 (0.002) Loss 1.3482 (1.7192) Prec@1 57.500 (54.105) Prec@5 87.500 (83.262) Epoch: [66][3430/11272] Time 0.834 (0.772) Data 0.002 (0.002) Loss 1.6532 (1.7193) Prec@1 59.375 (54.103) Prec@5 80.625 (83.260) Epoch: [66][3440/11272] Time 0.805 (0.772) Data 0.001 (0.002) Loss 1.7296 (1.7192) Prec@1 50.000 (54.105) Prec@5 86.250 (83.262) Epoch: [66][3450/11272] Time 0.705 (0.772) Data 0.001 (0.002) Loss 2.1320 (1.7193) Prec@1 44.375 (54.101) Prec@5 77.500 (83.261) Epoch: [66][3460/11272] Time 0.704 (0.772) Data 0.001 (0.002) Loss 1.6529 (1.7192) Prec@1 58.125 (54.103) Prec@5 85.625 (83.263) Epoch: [66][3470/11272] Time 0.804 (0.772) Data 0.001 (0.002) Loss 1.7294 (1.7194) Prec@1 50.625 (54.098) Prec@5 85.000 (83.260) Epoch: [66][3480/11272] Time 0.833 (0.772) Data 0.001 (0.002) Loss 1.5825 (1.7193) Prec@1 55.625 (54.100) Prec@5 84.375 (83.261) Epoch: [66][3490/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.5178 (1.7193) Prec@1 56.875 (54.099) Prec@5 85.625 (83.259) Epoch: [66][3500/11272] Time 0.809 (0.772) Data 0.001 (0.002) Loss 1.7794 (1.7194) Prec@1 53.125 (54.098) Prec@5 80.625 (83.257) Epoch: [66][3510/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.5375 (1.7194) Prec@1 57.500 (54.097) Prec@5 86.250 (83.255) Epoch: [66][3520/11272] Time 0.719 (0.772) Data 0.001 (0.002) Loss 1.8302 (1.7196) Prec@1 52.500 (54.094) Prec@5 80.000 (83.252) Epoch: [66][3530/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.5389 (1.7195) Prec@1 58.125 (54.097) Prec@5 83.125 (83.251) Epoch: [66][3540/11272] Time 0.819 (0.772) Data 0.001 (0.002) Loss 1.5990 (1.7195) Prec@1 57.500 (54.099) Prec@5 84.375 (83.253) Epoch: [66][3550/11272] Time 0.842 (0.772) Data 0.001 (0.002) Loss 1.7990 (1.7194) Prec@1 50.625 (54.098) Prec@5 82.500 (83.257) Epoch: [66][3560/11272] Time 0.708 (0.772) Data 0.001 (0.002) Loss 1.7280 (1.7194) Prec@1 55.625 (54.099) Prec@5 81.250 (83.259) Epoch: [66][3570/11272] Time 0.707 (0.772) Data 0.001 (0.002) Loss 1.7958 (1.7194) Prec@1 50.625 (54.102) Prec@5 85.000 (83.259) Epoch: [66][3580/11272] Time 0.826 (0.772) Data 0.001 (0.002) Loss 1.5666 (1.7192) Prec@1 56.875 (54.105) Prec@5 85.625 (83.261) Epoch: [66][3590/11272] Time 0.837 (0.772) Data 0.001 (0.002) Loss 1.8166 (1.7193) Prec@1 51.250 (54.103) Prec@5 82.500 (83.260) Epoch: [66][3600/11272] Time 0.741 (0.772) Data 0.002 (0.002) Loss 1.6859 (1.7193) Prec@1 50.000 (54.102) Prec@5 84.375 (83.259) Epoch: [66][3610/11272] Time 0.724 (0.772) Data 0.001 (0.002) Loss 1.5853 (1.7194) Prec@1 62.500 (54.106) Prec@5 86.250 (83.257) Epoch: [66][3620/11272] Time 0.804 (0.772) Data 0.001 (0.002) Loss 1.6705 (1.7191) Prec@1 53.750 (54.111) Prec@5 86.875 (83.263) Epoch: [66][3630/11272] Time 0.723 (0.772) Data 0.003 (0.002) Loss 1.6245 (1.7190) Prec@1 58.750 (54.113) Prec@5 85.625 (83.264) Epoch: [66][3640/11272] Time 0.689 (0.772) Data 0.001 (0.002) Loss 1.7635 (1.7190) Prec@1 57.500 (54.115) Prec@5 81.875 (83.261) Epoch: [66][3650/11272] Time 0.832 (0.772) Data 0.001 (0.002) Loss 1.7425 (1.7190) Prec@1 53.125 (54.114) Prec@5 82.500 (83.263) Epoch: [66][3660/11272] Time 0.783 (0.772) Data 0.001 (0.002) Loss 1.8995 (1.7192) Prec@1 56.250 (54.112) Prec@5 75.000 (83.258) Epoch: [66][3670/11272] Time 0.741 (0.772) Data 0.002 (0.002) Loss 1.6551 (1.7190) Prec@1 53.125 (54.117) Prec@5 85.625 (83.262) Epoch: [66][3680/11272] Time 0.697 (0.772) Data 0.001 (0.002) Loss 1.5684 (1.7190) Prec@1 58.125 (54.116) Prec@5 88.750 (83.265) Epoch: [66][3690/11272] Time 0.858 (0.772) Data 0.002 (0.002) Loss 1.5751 (1.7190) Prec@1 62.500 (54.114) Prec@5 83.125 (83.262) Epoch: [66][3700/11272] Time 0.862 (0.772) Data 0.002 (0.002) Loss 1.9784 (1.7189) Prec@1 46.250 (54.115) Prec@5 80.625 (83.264) Epoch: [66][3710/11272] Time 0.730 (0.772) Data 0.002 (0.002) Loss 1.2904 (1.7188) Prec@1 63.750 (54.121) Prec@5 89.375 (83.267) Epoch: [66][3720/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.5397 (1.7188) Prec@1 59.375 (54.122) Prec@5 86.250 (83.270) Epoch: [66][3730/11272] Time 0.827 (0.772) Data 0.002 (0.002) Loss 1.7901 (1.7187) Prec@1 52.500 (54.127) Prec@5 83.125 (83.269) Epoch: [66][3740/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.7424 (1.7186) Prec@1 49.375 (54.131) Prec@5 83.750 (83.271) Epoch: [66][3750/11272] Time 0.721 (0.772) Data 0.001 (0.002) Loss 1.6423 (1.7186) Prec@1 53.125 (54.128) Prec@5 85.625 (83.272) Epoch: [66][3760/11272] Time 0.778 (0.772) Data 0.001 (0.002) Loss 1.4921 (1.7186) Prec@1 60.625 (54.132) Prec@5 83.750 (83.274) Epoch: [66][3770/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.8628 (1.7186) Prec@1 53.125 (54.133) Prec@5 76.875 (83.271) Epoch: [66][3780/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 2.0697 (1.7187) Prec@1 41.875 (54.135) Prec@5 76.875 (83.272) Epoch: [66][3790/11272] Time 0.703 (0.772) Data 0.001 (0.002) Loss 1.6545 (1.7186) Prec@1 56.875 (54.138) Prec@5 86.250 (83.274) Epoch: [66][3800/11272] Time 0.852 (0.772) Data 0.001 (0.002) Loss 1.7271 (1.7185) Prec@1 53.125 (54.140) Prec@5 81.875 (83.276) Epoch: [66][3810/11272] Time 0.787 (0.772) Data 0.001 (0.002) Loss 1.7275 (1.7185) Prec@1 56.250 (54.140) Prec@5 80.625 (83.274) Epoch: [66][3820/11272] Time 0.723 (0.772) Data 0.001 (0.002) Loss 1.9241 (1.7187) Prec@1 48.125 (54.135) Prec@5 79.375 (83.272) Epoch: [66][3830/11272] Time 0.725 (0.772) Data 0.001 (0.002) Loss 1.6229 (1.7186) Prec@1 58.125 (54.136) Prec@5 83.125 (83.272) Epoch: [66][3840/11272] Time 0.828 (0.772) Data 0.001 (0.002) Loss 1.9231 (1.7185) Prec@1 49.375 (54.137) Prec@5 82.500 (83.273) Epoch: [66][3850/11272] Time 0.830 (0.772) Data 0.001 (0.002) Loss 1.7341 (1.7187) Prec@1 53.750 (54.135) Prec@5 80.000 (83.273) Epoch: [66][3860/11272] Time 0.706 (0.772) Data 0.001 (0.002) Loss 1.6765 (1.7185) Prec@1 53.750 (54.140) Prec@5 85.625 (83.276) Epoch: [66][3870/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.6729 (1.7183) Prec@1 54.375 (54.144) Prec@5 84.375 (83.279) Epoch: [66][3880/11272] Time 0.831 (0.772) Data 0.001 (0.002) Loss 2.0090 (1.7184) Prec@1 41.875 (54.141) Prec@5 78.125 (83.278) Epoch: [66][3890/11272] Time 0.709 (0.772) Data 0.003 (0.002) Loss 1.5898 (1.7184) Prec@1 57.500 (54.143) Prec@5 84.375 (83.281) Epoch: [66][3900/11272] Time 0.715 (0.772) Data 0.001 (0.002) Loss 1.5177 (1.7183) Prec@1 61.875 (54.150) Prec@5 88.125 (83.282) Epoch: [66][3910/11272] Time 0.811 (0.772) Data 0.002 (0.002) Loss 1.8390 (1.7183) Prec@1 53.125 (54.149) Prec@5 80.000 (83.283) Epoch: [66][3920/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.4980 (1.7182) Prec@1 60.625 (54.154) Prec@5 87.500 (83.286) Epoch: [66][3930/11272] Time 0.718 (0.772) Data 0.001 (0.002) Loss 1.6857 (1.7181) Prec@1 55.625 (54.160) Prec@5 86.250 (83.286) Epoch: [66][3940/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.5628 (1.7180) Prec@1 50.625 (54.162) Prec@5 85.000 (83.285) Epoch: [66][3950/11272] Time 0.832 (0.772) Data 0.001 (0.002) Loss 1.7056 (1.7180) Prec@1 55.000 (54.162) Prec@5 84.375 (83.286) Epoch: [66][3960/11272] Time 0.808 (0.772) Data 0.001 (0.002) Loss 1.5939 (1.7179) Prec@1 58.125 (54.164) Prec@5 88.125 (83.286) Epoch: [66][3970/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.7359 (1.7179) Prec@1 53.750 (54.166) Prec@5 80.625 (83.286) Epoch: [66][3980/11272] Time 0.736 (0.772) Data 0.001 (0.002) Loss 2.0718 (1.7180) Prec@1 44.375 (54.161) Prec@5 76.250 (83.282) Epoch: [66][3990/11272] Time 0.856 (0.772) Data 0.002 (0.002) Loss 1.5208 (1.7177) Prec@1 61.250 (54.168) Prec@5 86.875 (83.286) Epoch: [66][4000/11272] Time 0.818 (0.772) Data 0.001 (0.002) Loss 1.8797 (1.7179) Prec@1 51.250 (54.167) Prec@5 81.875 (83.283) Epoch: [66][4010/11272] Time 0.718 (0.772) Data 0.001 (0.002) Loss 1.9414 (1.7179) Prec@1 50.000 (54.163) Prec@5 78.125 (83.282) Epoch: [66][4020/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.7003 (1.7180) Prec@1 53.125 (54.162) Prec@5 85.000 (83.280) Epoch: [66][4030/11272] Time 0.815 (0.772) Data 0.001 (0.002) Loss 1.8141 (1.7179) Prec@1 53.125 (54.163) Prec@5 81.250 (83.282) Epoch: [66][4040/11272] Time 0.734 (0.772) Data 0.001 (0.002) Loss 1.8134 (1.7180) Prec@1 50.625 (54.159) Prec@5 80.625 (83.282) Epoch: [66][4050/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.6502 (1.7180) Prec@1 55.000 (54.155) Prec@5 85.625 (83.284) Epoch: [66][4060/11272] Time 0.893 (0.772) Data 0.001 (0.002) Loss 1.7789 (1.7181) Prec@1 50.000 (54.150) Prec@5 83.125 (83.281) Epoch: [66][4070/11272] Time 0.830 (0.772) Data 0.001 (0.002) Loss 1.9164 (1.7182) Prec@1 53.125 (54.145) Prec@5 81.875 (83.282) Epoch: [66][4080/11272] Time 0.722 (0.772) Data 0.002 (0.002) Loss 1.7531 (1.7182) Prec@1 53.750 (54.148) Prec@5 83.125 (83.279) Epoch: [66][4090/11272] Time 0.725 (0.772) Data 0.002 (0.002) Loss 1.5981 (1.7182) Prec@1 60.000 (54.152) Prec@5 82.500 (83.277) Epoch: [66][4100/11272] Time 0.817 (0.772) Data 0.001 (0.002) Loss 1.5661 (1.7183) Prec@1 53.750 (54.150) Prec@5 87.500 (83.271) Epoch: [66][4110/11272] Time 0.780 (0.772) Data 0.001 (0.002) Loss 1.8062 (1.7184) Prec@1 51.250 (54.146) Prec@5 82.500 (83.272) Epoch: [66][4120/11272] Time 0.698 (0.772) Data 0.001 (0.002) Loss 1.8608 (1.7184) Prec@1 53.750 (54.145) Prec@5 81.250 (83.270) Epoch: [66][4130/11272] Time 0.684 (0.772) Data 0.001 (0.002) Loss 1.7027 (1.7184) Prec@1 52.500 (54.143) Prec@5 84.375 (83.272) Epoch: [66][4140/11272] Time 0.815 (0.772) Data 0.001 (0.002) Loss 1.7035 (1.7184) Prec@1 53.750 (54.145) Prec@5 86.250 (83.274) Epoch: [66][4150/11272] Time 0.821 (0.772) Data 0.001 (0.002) Loss 1.6007 (1.7184) Prec@1 53.125 (54.143) Prec@5 86.875 (83.274) Epoch: [66][4160/11272] Time 0.743 (0.772) Data 0.001 (0.002) Loss 1.8664 (1.7184) Prec@1 45.625 (54.145) Prec@5 79.375 (83.274) Epoch: [66][4170/11272] Time 0.806 (0.772) Data 0.001 (0.002) Loss 1.4820 (1.7183) Prec@1 58.750 (54.149) Prec@5 85.625 (83.275) Epoch: [66][4180/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.7515 (1.7183) Prec@1 54.375 (54.150) Prec@5 83.125 (83.277) Epoch: [66][4190/11272] Time 0.690 (0.772) Data 0.001 (0.002) Loss 1.8884 (1.7183) Prec@1 51.250 (54.147) Prec@5 81.250 (83.277) Epoch: [66][4200/11272] Time 0.703 (0.772) Data 0.001 (0.002) Loss 1.9086 (1.7183) Prec@1 46.250 (54.147) Prec@5 84.375 (83.278) Epoch: [66][4210/11272] Time 0.823 (0.772) Data 0.001 (0.002) Loss 1.7377 (1.7182) Prec@1 55.000 (54.147) Prec@5 81.250 (83.278) Epoch: [66][4220/11272] Time 0.843 (0.772) Data 0.002 (0.002) Loss 1.6253 (1.7181) Prec@1 61.250 (54.154) Prec@5 84.375 (83.278) Epoch: [66][4230/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.6148 (1.7181) Prec@1 57.500 (54.158) Prec@5 83.125 (83.276) Epoch: [66][4240/11272] Time 0.696 (0.772) Data 0.001 (0.002) Loss 1.5653 (1.7178) Prec@1 59.375 (54.166) Prec@5 85.000 (83.281) Epoch: [66][4250/11272] Time 0.789 (0.772) Data 0.001 (0.002) Loss 1.7550 (1.7178) Prec@1 61.875 (54.165) Prec@5 80.625 (83.282) Epoch: [66][4260/11272] Time 0.836 (0.772) Data 0.001 (0.002) Loss 1.7799 (1.7178) Prec@1 56.875 (54.167) Prec@5 81.875 (83.284) Epoch: [66][4270/11272] Time 0.755 (0.772) Data 0.002 (0.002) Loss 1.7050 (1.7178) Prec@1 56.250 (54.168) Prec@5 82.500 (83.282) Epoch: [66][4280/11272] Time 0.738 (0.772) Data 0.001 (0.002) Loss 1.7383 (1.7178) Prec@1 56.250 (54.171) Prec@5 85.000 (83.281) Epoch: [66][4290/11272] Time 0.815 (0.772) Data 0.001 (0.002) Loss 1.7135 (1.7176) Prec@1 53.125 (54.173) Prec@5 81.875 (83.284) Epoch: [66][4300/11272] Time 0.719 (0.772) Data 0.001 (0.002) Loss 1.6621 (1.7176) Prec@1 56.250 (54.171) Prec@5 83.125 (83.282) Epoch: [66][4310/11272] Time 0.746 (0.772) Data 0.001 (0.002) Loss 1.6179 (1.7177) Prec@1 60.000 (54.171) Prec@5 84.375 (83.280) Epoch: [66][4320/11272] Time 0.812 (0.772) Data 0.001 (0.002) Loss 1.7688 (1.7176) Prec@1 53.125 (54.174) Prec@5 86.875 (83.282) Epoch: [66][4330/11272] Time 0.821 (0.772) Data 0.001 (0.002) Loss 1.4783 (1.7175) Prec@1 58.750 (54.176) Prec@5 88.125 (83.286) Epoch: [66][4340/11272] Time 0.707 (0.772) Data 0.001 (0.002) Loss 1.3610 (1.7175) Prec@1 65.625 (54.180) Prec@5 88.750 (83.286) Epoch: [66][4350/11272] Time 0.756 (0.772) Data 0.001 (0.002) Loss 1.6809 (1.7175) Prec@1 57.500 (54.181) Prec@5 83.750 (83.287) Epoch: [66][4360/11272] Time 0.807 (0.772) Data 0.001 (0.002) Loss 1.7824 (1.7175) Prec@1 53.750 (54.181) Prec@5 84.375 (83.286) Epoch: [66][4370/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.7057 (1.7175) Prec@1 55.000 (54.180) Prec@5 83.750 (83.287) Epoch: [66][4380/11272] Time 0.715 (0.772) Data 0.001 (0.002) Loss 1.8174 (1.7176) Prec@1 55.625 (54.178) Prec@5 80.625 (83.287) Epoch: [66][4390/11272] Time 0.726 (0.772) Data 0.001 (0.002) Loss 1.9251 (1.7176) Prec@1 48.125 (54.175) Prec@5 80.000 (83.285) Epoch: [66][4400/11272] Time 0.840 (0.772) Data 0.001 (0.002) Loss 1.8319 (1.7176) Prec@1 50.000 (54.176) Prec@5 81.875 (83.282) Epoch: [66][4410/11272] Time 0.843 (0.772) Data 0.002 (0.002) Loss 1.7457 (1.7175) Prec@1 52.500 (54.178) Prec@5 80.625 (83.285) Epoch: [66][4420/11272] Time 0.745 (0.772) Data 0.001 (0.002) Loss 1.9119 (1.7175) Prec@1 46.875 (54.177) Prec@5 83.125 (83.282) Epoch: [66][4430/11272] Time 0.813 (0.772) Data 0.001 (0.002) Loss 1.7425 (1.7176) Prec@1 57.500 (54.176) Prec@5 79.375 (83.280) Epoch: [66][4440/11272] Time 0.822 (0.772) Data 0.001 (0.002) Loss 1.7379 (1.7177) Prec@1 57.500 (54.173) Prec@5 81.250 (83.277) Epoch: [66][4450/11272] Time 0.755 (0.772) Data 0.002 (0.002) Loss 2.2392 (1.7179) Prec@1 41.875 (54.170) Prec@5 77.500 (83.274) Epoch: [66][4460/11272] Time 0.727 (0.772) Data 0.001 (0.002) Loss 1.6804 (1.7178) Prec@1 55.000 (54.173) Prec@5 83.750 (83.275) Epoch: [66][4470/11272] Time 0.870 (0.772) Data 0.002 (0.002) Loss 1.5728 (1.7178) Prec@1 58.125 (54.170) Prec@5 82.500 (83.273) Epoch: [66][4480/11272] Time 0.802 (0.772) Data 0.001 (0.002) Loss 1.9140 (1.7177) Prec@1 45.000 (54.171) Prec@5 78.750 (83.274) Epoch: [66][4490/11272] Time 0.755 (0.772) Data 0.001 (0.002) Loss 2.0322 (1.7177) Prec@1 45.625 (54.170) Prec@5 77.500 (83.272) Epoch: [66][4500/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.5678 (1.7178) Prec@1 63.125 (54.171) Prec@5 83.750 (83.271) Epoch: [66][4510/11272] Time 0.819 (0.772) Data 0.001 (0.002) Loss 1.9064 (1.7176) Prec@1 50.000 (54.177) Prec@5 78.750 (83.274) Epoch: [66][4520/11272] Time 0.805 (0.772) Data 0.002 (0.002) Loss 1.5688 (1.7176) Prec@1 58.125 (54.176) Prec@5 88.125 (83.276) Epoch: [66][4530/11272] Time 0.735 (0.772) Data 0.001 (0.002) Loss 1.9178 (1.7177) Prec@1 55.625 (54.174) Prec@5 80.000 (83.275) Epoch: [66][4540/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.3998 (1.7176) Prec@1 62.500 (54.177) Prec@5 88.750 (83.279) Epoch: [66][4550/11272] Time 0.794 (0.772) Data 0.001 (0.002) Loss 1.8225 (1.7178) Prec@1 50.625 (54.176) Prec@5 77.500 (83.275) Epoch: [66][4560/11272] Time 0.749 (0.772) Data 0.003 (0.002) Loss 1.6938 (1.7179) Prec@1 52.500 (54.171) Prec@5 82.500 (83.274) Epoch: [66][4570/11272] Time 0.731 (0.772) Data 0.001 (0.002) Loss 1.5561 (1.7179) Prec@1 59.375 (54.171) Prec@5 86.250 (83.272) Epoch: [66][4580/11272] Time 0.812 (0.772) Data 0.001 (0.002) Loss 1.7271 (1.7179) Prec@1 58.125 (54.171) Prec@5 84.375 (83.270) Epoch: [66][4590/11272] Time 0.821 (0.772) Data 0.001 (0.002) Loss 1.7739 (1.7180) Prec@1 54.375 (54.167) Prec@5 85.625 (83.271) Epoch: [66][4600/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.7443 (1.7180) Prec@1 54.375 (54.167) Prec@5 82.500 (83.272) Epoch: [66][4610/11272] Time 0.700 (0.772) Data 0.001 (0.002) Loss 1.7657 (1.7181) Prec@1 54.375 (54.164) Prec@5 79.375 (83.271) Epoch: [66][4620/11272] Time 0.825 (0.772) Data 0.001 (0.002) Loss 1.7840 (1.7180) Prec@1 53.750 (54.168) Prec@5 82.500 (83.273) Epoch: [66][4630/11272] Time 0.804 (0.772) Data 0.001 (0.002) Loss 1.5549 (1.7180) Prec@1 55.625 (54.166) Prec@5 86.250 (83.273) Epoch: [66][4640/11272] Time 0.693 (0.772) Data 0.001 (0.002) Loss 1.8334 (1.7181) Prec@1 53.750 (54.165) Prec@5 81.250 (83.271) Epoch: [66][4650/11272] Time 0.752 (0.772) Data 0.002 (0.002) Loss 1.6899 (1.7183) Prec@1 46.250 (54.161) Prec@5 86.250 (83.269) Epoch: [66][4660/11272] Time 0.818 (0.772) Data 0.001 (0.002) Loss 1.5512 (1.7182) Prec@1 61.250 (54.163) Prec@5 84.375 (83.274) Epoch: [66][4670/11272] Time 0.814 (0.772) Data 0.001 (0.002) Loss 1.8130 (1.7181) Prec@1 50.000 (54.167) Prec@5 76.250 (83.273) Epoch: [66][4680/11272] Time 0.717 (0.772) Data 0.001 (0.002) Loss 1.8586 (1.7182) Prec@1 46.250 (54.164) Prec@5 82.500 (83.271) Epoch: [66][4690/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.7106 (1.7182) Prec@1 54.375 (54.165) Prec@5 84.375 (83.271) Epoch: [66][4700/11272] Time 0.836 (0.772) Data 0.001 (0.002) Loss 1.7852 (1.7183) Prec@1 55.625 (54.165) Prec@5 78.750 (83.270) Epoch: [66][4710/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.6769 (1.7185) Prec@1 53.125 (54.161) Prec@5 83.750 (83.268) Epoch: [66][4720/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.7705 (1.7184) Prec@1 53.750 (54.164) Prec@5 81.250 (83.269) Epoch: [66][4730/11272] Time 0.887 (0.772) Data 0.002 (0.002) Loss 1.6948 (1.7183) Prec@1 52.500 (54.164) Prec@5 83.125 (83.270) Epoch: [66][4740/11272] Time 0.836 (0.772) Data 0.001 (0.002) Loss 1.5969 (1.7183) Prec@1 55.000 (54.165) Prec@5 88.125 (83.272) Epoch: [66][4750/11272] Time 0.727 (0.772) Data 0.001 (0.002) Loss 1.8629 (1.7184) Prec@1 52.500 (54.163) Prec@5 81.250 (83.268) Epoch: [66][4760/11272] Time 0.705 (0.772) Data 0.001 (0.002) Loss 1.8573 (1.7184) Prec@1 51.250 (54.164) Prec@5 81.250 (83.267) Epoch: [66][4770/11272] Time 0.807 (0.772) Data 0.001 (0.002) Loss 1.7693 (1.7185) Prec@1 52.500 (54.164) Prec@5 81.250 (83.264) Epoch: [66][4780/11272] Time 0.827 (0.772) Data 0.001 (0.002) Loss 1.4619 (1.7184) Prec@1 60.625 (54.168) Prec@5 86.250 (83.266) Epoch: [66][4790/11272] Time 0.717 (0.772) Data 0.002 (0.002) Loss 1.9334 (1.7185) Prec@1 46.875 (54.168) Prec@5 82.500 (83.266) Epoch: [66][4800/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.4837 (1.7185) Prec@1 53.750 (54.167) Prec@5 90.000 (83.266) Epoch: [66][4810/11272] Time 0.808 (0.772) Data 0.001 (0.002) Loss 1.9613 (1.7184) Prec@1 50.000 (54.169) Prec@5 77.500 (83.267) Epoch: [66][4820/11272] Time 0.757 (0.772) Data 0.003 (0.002) Loss 1.6614 (1.7186) Prec@1 56.875 (54.164) Prec@5 87.500 (83.266) Epoch: [66][4830/11272] Time 0.729 (0.772) Data 0.002 (0.002) Loss 1.8144 (1.7188) Prec@1 58.750 (54.161) Prec@5 85.000 (83.260) Epoch: [66][4840/11272] Time 0.831 (0.772) Data 0.001 (0.002) Loss 1.6101 (1.7189) Prec@1 55.625 (54.157) Prec@5 86.250 (83.258) Epoch: [66][4850/11272] Time 0.799 (0.772) Data 0.001 (0.002) Loss 1.4711 (1.7189) Prec@1 63.750 (54.160) Prec@5 86.875 (83.259) Epoch: [66][4860/11272] Time 0.721 (0.772) Data 0.001 (0.002) Loss 1.8772 (1.7189) Prec@1 49.375 (54.157) Prec@5 81.875 (83.259) Epoch: [66][4870/11272] Time 0.700 (0.772) Data 0.001 (0.002) Loss 1.7595 (1.7189) Prec@1 50.000 (54.156) Prec@5 83.750 (83.261) Epoch: [66][4880/11272] Time 0.843 (0.772) Data 0.001 (0.002) Loss 1.7853 (1.7189) Prec@1 53.125 (54.156) Prec@5 82.500 (83.261) Epoch: [66][4890/11272] Time 0.814 (0.772) Data 0.001 (0.002) Loss 1.8691 (1.7190) Prec@1 47.500 (54.156) Prec@5 86.875 (83.264) Epoch: [66][4900/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.8958 (1.7192) Prec@1 53.750 (54.156) Prec@5 78.750 (83.258) Epoch: [66][4910/11272] Time 0.691 (0.772) Data 0.001 (0.002) Loss 1.6148 (1.7192) Prec@1 56.250 (54.154) Prec@5 89.375 (83.259) Epoch: [66][4920/11272] Time 0.863 (0.772) Data 0.001 (0.002) Loss 1.6111 (1.7192) Prec@1 52.500 (54.155) Prec@5 85.000 (83.261) Epoch: [66][4930/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.6100 (1.7191) Prec@1 57.500 (54.159) Prec@5 87.500 (83.264) Epoch: [66][4940/11272] Time 0.732 (0.772) Data 0.001 (0.002) Loss 1.7309 (1.7190) Prec@1 55.625 (54.159) Prec@5 85.000 (83.268) Epoch: [66][4950/11272] Time 0.791 (0.772) Data 0.001 (0.002) Loss 1.8294 (1.7190) Prec@1 50.000 (54.161) Prec@5 80.625 (83.266) Epoch: [66][4960/11272] Time 0.811 (0.772) Data 0.001 (0.002) Loss 1.7840 (1.7190) Prec@1 55.625 (54.157) Prec@5 83.125 (83.267) Epoch: [66][4970/11272] Time 0.730 (0.772) Data 0.001 (0.002) Loss 1.5358 (1.7190) Prec@1 56.875 (54.158) Prec@5 85.625 (83.266) Epoch: [66][4980/11272] Time 0.691 (0.772) Data 0.001 (0.002) Loss 1.5307 (1.7190) Prec@1 59.375 (54.157) Prec@5 88.125 (83.270) Epoch: [66][4990/11272] Time 0.850 (0.772) Data 0.001 (0.002) Loss 1.7290 (1.7190) Prec@1 57.500 (54.157) Prec@5 83.125 (83.269) Epoch: [66][5000/11272] Time 0.785 (0.772) Data 0.001 (0.002) Loss 1.6438 (1.7189) Prec@1 57.500 (54.158) Prec@5 83.125 (83.270) Epoch: [66][5010/11272] Time 0.706 (0.772) Data 0.001 (0.002) Loss 2.0391 (1.7191) Prec@1 48.125 (54.156) Prec@5 78.125 (83.267) Epoch: [66][5020/11272] Time 0.708 (0.772) Data 0.001 (0.002) Loss 1.6190 (1.7192) Prec@1 55.625 (54.149) Prec@5 82.500 (83.263) Epoch: [66][5030/11272] Time 0.820 (0.772) Data 0.001 (0.002) Loss 1.9146 (1.7191) Prec@1 48.125 (54.152) Prec@5 81.250 (83.264) Epoch: [66][5040/11272] Time 0.821 (0.772) Data 0.001 (0.002) Loss 1.9268 (1.7192) Prec@1 55.625 (54.152) Prec@5 78.750 (83.262) Epoch: [66][5050/11272] Time 0.717 (0.772) Data 0.001 (0.002) Loss 1.7530 (1.7193) Prec@1 62.500 (54.152) Prec@5 81.875 (83.260) Epoch: [66][5060/11272] Time 0.731 (0.772) Data 0.001 (0.002) Loss 1.8684 (1.7194) Prec@1 51.250 (54.150) Prec@5 83.125 (83.256) Epoch: [66][5070/11272] Time 0.819 (0.772) Data 0.002 (0.002) Loss 1.6427 (1.7194) Prec@1 58.125 (54.151) Prec@5 87.500 (83.258) Epoch: [66][5080/11272] Time 0.807 (0.772) Data 0.001 (0.002) Loss 1.6446 (1.7193) Prec@1 55.000 (54.151) Prec@5 85.000 (83.259) Epoch: [66][5090/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.6110 (1.7193) Prec@1 61.875 (54.154) Prec@5 85.625 (83.259) Epoch: [66][5100/11272] Time 0.913 (0.773) Data 0.001 (0.002) Loss 1.4537 (1.7194) Prec@1 58.750 (54.152) Prec@5 90.625 (83.261) Epoch: [66][5110/11272] Time 0.851 (0.773) Data 0.002 (0.002) Loss 1.4762 (1.7193) Prec@1 58.750 (54.157) Prec@5 89.375 (83.261) Epoch: [66][5120/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.8084 (1.7193) Prec@1 55.000 (54.156) Prec@5 78.125 (83.259) Epoch: [66][5130/11272] Time 0.725 (0.773) Data 0.002 (0.002) Loss 1.5185 (1.7192) Prec@1 60.000 (54.156) Prec@5 87.500 (83.262) Epoch: [66][5140/11272] Time 0.838 (0.773) Data 0.001 (0.002) Loss 1.7597 (1.7192) Prec@1 48.125 (54.156) Prec@5 86.250 (83.264) Epoch: [66][5150/11272] Time 0.796 (0.773) Data 0.001 (0.002) Loss 1.6713 (1.7192) Prec@1 56.875 (54.158) Prec@5 78.750 (83.263) Epoch: [66][5160/11272] Time 0.697 (0.773) Data 0.001 (0.002) Loss 1.5975 (1.7191) Prec@1 55.625 (54.156) Prec@5 87.500 (83.264) Epoch: [66][5170/11272] Time 0.729 (0.773) Data 0.001 (0.002) Loss 1.9536 (1.7192) Prec@1 46.875 (54.154) Prec@5 81.250 (83.264) Epoch: [66][5180/11272] Time 0.787 (0.773) Data 0.001 (0.002) Loss 1.6737 (1.7193) Prec@1 53.750 (54.154) Prec@5 83.125 (83.264) Epoch: [66][5190/11272] Time 0.830 (0.773) Data 0.001 (0.002) Loss 1.8872 (1.7192) Prec@1 50.000 (54.157) Prec@5 82.500 (83.264) Epoch: [66][5200/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.7993 (1.7193) Prec@1 53.750 (54.154) Prec@5 81.875 (83.263) Epoch: [66][5210/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.8605 (1.7194) Prec@1 46.875 (54.153) Prec@5 81.875 (83.262) Epoch: [66][5220/11272] Time 0.844 (0.773) Data 0.001 (0.002) Loss 1.6878 (1.7194) Prec@1 60.000 (54.153) Prec@5 81.250 (83.261) Epoch: [66][5230/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.8198 (1.7193) Prec@1 55.625 (54.155) Prec@5 83.125 (83.264) Epoch: [66][5240/11272] Time 0.732 (0.773) Data 0.001 (0.002) Loss 1.7241 (1.7193) Prec@1 56.250 (54.157) Prec@5 79.375 (83.262) Epoch: [66][5250/11272] Time 0.839 (0.773) Data 0.001 (0.002) Loss 1.7892 (1.7193) Prec@1 56.250 (54.158) Prec@5 78.750 (83.263) Epoch: [66][5260/11272] Time 0.812 (0.773) Data 0.002 (0.002) Loss 1.6814 (1.7193) Prec@1 49.375 (54.157) Prec@5 85.000 (83.264) Epoch: [66][5270/11272] Time 0.704 (0.773) Data 0.002 (0.002) Loss 1.9816 (1.7194) Prec@1 50.000 (54.158) Prec@5 78.750 (83.263) Epoch: [66][5280/11272] Time 0.754 (0.773) Data 0.002 (0.002) Loss 1.6125 (1.7195) Prec@1 55.000 (54.157) Prec@5 86.250 (83.262) Epoch: [66][5290/11272] Time 0.833 (0.773) Data 0.002 (0.002) Loss 1.7003 (1.7193) Prec@1 56.250 (54.162) Prec@5 81.250 (83.264) Epoch: [66][5300/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.8396 (1.7194) Prec@1 49.375 (54.161) Prec@5 82.500 (83.265) Epoch: [66][5310/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6829 (1.7193) Prec@1 55.625 (54.161) Prec@5 85.000 (83.267) Epoch: [66][5320/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.6585 (1.7194) Prec@1 58.125 (54.159) Prec@5 83.750 (83.267) Epoch: [66][5330/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.8134 (1.7196) Prec@1 50.625 (54.156) Prec@5 81.250 (83.263) Epoch: [66][5340/11272] Time 0.800 (0.773) Data 0.001 (0.002) Loss 1.6908 (1.7195) Prec@1 52.500 (54.156) Prec@5 82.500 (83.264) Epoch: [66][5350/11272] Time 0.758 (0.773) Data 0.001 (0.002) Loss 1.7523 (1.7195) Prec@1 51.875 (54.155) Prec@5 84.375 (83.266) Epoch: [66][5360/11272] Time 0.791 (0.773) Data 0.001 (0.002) Loss 1.5077 (1.7194) Prec@1 66.875 (54.159) Prec@5 83.125 (83.267) Epoch: [66][5370/11272] Time 0.800 (0.773) Data 0.001 (0.002) Loss 1.6742 (1.7194) Prec@1 52.500 (54.157) Prec@5 84.375 (83.267) Epoch: [66][5380/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 2.0134 (1.7195) Prec@1 48.750 (54.155) Prec@5 77.500 (83.267) Epoch: [66][5390/11272] Time 0.700 (0.773) Data 0.001 (0.002) Loss 1.7961 (1.7193) Prec@1 53.750 (54.160) Prec@5 87.500 (83.270) Epoch: [66][5400/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.4730 (1.7192) Prec@1 58.750 (54.162) Prec@5 83.750 (83.273) Epoch: [66][5410/11272] Time 0.815 (0.773) Data 0.001 (0.002) Loss 1.6537 (1.7192) Prec@1 56.250 (54.163) Prec@5 84.375 (83.270) Epoch: [66][5420/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.6731 (1.7192) Prec@1 58.125 (54.167) Prec@5 79.375 (83.270) Epoch: [66][5430/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6490 (1.7190) Prec@1 51.250 (54.170) Prec@5 86.250 (83.274) Epoch: [66][5440/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.6583 (1.7191) Prec@1 55.000 (54.168) Prec@5 88.125 (83.274) Epoch: [66][5450/11272] Time 0.792 (0.773) Data 0.001 (0.002) Loss 1.5176 (1.7189) Prec@1 58.750 (54.171) Prec@5 88.125 (83.276) Epoch: [66][5460/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.3709 (1.7188) Prec@1 59.375 (54.174) Prec@5 89.375 (83.278) Epoch: [66][5470/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.7198 (1.7188) Prec@1 53.750 (54.174) Prec@5 78.750 (83.277) Epoch: [66][5480/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.5932 (1.7189) Prec@1 57.500 (54.171) Prec@5 86.250 (83.275) Epoch: [66][5490/11272] Time 0.720 (0.773) Data 0.003 (0.002) Loss 1.6771 (1.7189) Prec@1 53.125 (54.170) Prec@5 85.625 (83.275) Epoch: [66][5500/11272] Time 0.731 (0.773) Data 0.001 (0.002) Loss 1.6702 (1.7187) Prec@1 55.625 (54.173) Prec@5 82.500 (83.277) Epoch: [66][5510/11272] Time 0.816 (0.773) Data 0.001 (0.002) Loss 1.7150 (1.7187) Prec@1 57.500 (54.174) Prec@5 80.000 (83.276) Epoch: [66][5520/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.8265 (1.7187) Prec@1 46.875 (54.175) Prec@5 79.375 (83.276) Epoch: [66][5530/11272] Time 0.711 (0.773) Data 0.002 (0.002) Loss 1.9413 (1.7188) Prec@1 48.750 (54.173) Prec@5 80.000 (83.276) Epoch: [66][5540/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6431 (1.7189) Prec@1 52.500 (54.167) Prec@5 84.375 (83.273) Epoch: [66][5550/11272] Time 0.808 (0.773) Data 0.001 (0.002) Loss 1.7009 (1.7189) Prec@1 52.500 (54.163) Prec@5 82.500 (83.273) Epoch: [66][5560/11272] Time 0.788 (0.773) Data 0.001 (0.002) Loss 1.6037 (1.7189) Prec@1 55.000 (54.163) Prec@5 87.500 (83.274) Epoch: [66][5570/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.7695 (1.7189) Prec@1 53.125 (54.162) Prec@5 81.250 (83.273) Epoch: [66][5580/11272] Time 0.725 (0.773) Data 0.002 (0.002) Loss 1.7393 (1.7188) Prec@1 55.000 (54.164) Prec@5 83.750 (83.274) Epoch: [66][5590/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.8390 (1.7189) Prec@1 50.625 (54.163) Prec@5 80.625 (83.272) Epoch: [66][5600/11272] Time 0.841 (0.773) Data 0.001 (0.002) Loss 1.6928 (1.7188) Prec@1 55.625 (54.168) Prec@5 86.250 (83.273) Epoch: [66][5610/11272] Time 0.733 (0.773) Data 0.001 (0.002) Loss 1.8167 (1.7188) Prec@1 53.125 (54.170) Prec@5 81.250 (83.273) Epoch: [66][5620/11272] Time 0.811 (0.773) Data 0.001 (0.002) Loss 1.6684 (1.7188) Prec@1 51.875 (54.167) Prec@5 83.750 (83.273) Epoch: [66][5630/11272] Time 0.787 (0.773) Data 0.001 (0.002) Loss 1.7198 (1.7189) Prec@1 55.000 (54.167) Prec@5 83.750 (83.272) Epoch: [66][5640/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.5709 (1.7188) Prec@1 57.500 (54.171) Prec@5 86.250 (83.275) Epoch: [66][5650/11272] Time 0.703 (0.773) Data 0.001 (0.002) Loss 2.0756 (1.7188) Prec@1 46.875 (54.169) Prec@5 78.750 (83.273) Epoch: [66][5660/11272] Time 0.826 (0.773) Data 0.001 (0.002) Loss 1.6663 (1.7188) Prec@1 55.000 (54.169) Prec@5 83.750 (83.275) Epoch: [66][5670/11272] Time 0.848 (0.773) Data 0.001 (0.002) Loss 1.7631 (1.7188) Prec@1 53.125 (54.170) Prec@5 81.875 (83.277) Epoch: [66][5680/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.7230 (1.7188) Prec@1 55.625 (54.170) Prec@5 86.250 (83.277) Epoch: [66][5690/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.7033 (1.7187) Prec@1 56.875 (54.173) Prec@5 83.750 (83.278) Epoch: [66][5700/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.5497 (1.7187) Prec@1 62.500 (54.172) Prec@5 87.500 (83.278) Epoch: [66][5710/11272] Time 0.813 (0.773) Data 0.001 (0.002) Loss 1.7605 (1.7187) Prec@1 53.125 (54.173) Prec@5 83.750 (83.278) Epoch: [66][5720/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6510 (1.7188) Prec@1 59.375 (54.172) Prec@5 83.125 (83.276) Epoch: [66][5730/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6955 (1.7186) Prec@1 56.875 (54.177) Prec@5 86.875 (83.280) Epoch: [66][5740/11272] Time 0.802 (0.773) Data 0.001 (0.002) Loss 1.6444 (1.7186) Prec@1 52.500 (54.178) Prec@5 86.250 (83.283) Epoch: [66][5750/11272] Time 0.687 (0.773) Data 0.002 (0.002) Loss 1.6102 (1.7186) Prec@1 53.750 (54.179) Prec@5 86.250 (83.285) Epoch: [66][5760/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.8468 (1.7186) Prec@1 50.625 (54.180) Prec@5 80.625 (83.285) Epoch: [66][5770/11272] Time 0.870 (0.773) Data 0.001 (0.002) Loss 1.5104 (1.7186) Prec@1 56.875 (54.178) Prec@5 88.125 (83.286) Epoch: [66][5780/11272] Time 0.803 (0.772) Data 0.001 (0.002) Loss 1.5431 (1.7185) Prec@1 59.375 (54.180) Prec@5 87.500 (83.288) Epoch: [66][5790/11272] Time 0.713 (0.772) Data 0.001 (0.002) Loss 1.6456 (1.7184) Prec@1 56.250 (54.183) Prec@5 85.000 (83.290) Epoch: [66][5800/11272] Time 0.717 (0.772) Data 0.001 (0.002) Loss 1.4904 (1.7183) Prec@1 62.500 (54.186) Prec@5 87.500 (83.294) Epoch: [66][5810/11272] Time 0.808 (0.772) Data 0.001 (0.002) Loss 1.7026 (1.7182) Prec@1 57.500 (54.188) Prec@5 81.250 (83.296) Epoch: [66][5820/11272] Time 0.833 (0.773) Data 0.001 (0.002) Loss 1.5914 (1.7180) Prec@1 55.625 (54.191) Prec@5 85.000 (83.298) Epoch: [66][5830/11272] Time 0.752 (0.773) Data 0.001 (0.002) Loss 1.6521 (1.7181) Prec@1 62.500 (54.190) Prec@5 84.375 (83.299) Epoch: [66][5840/11272] Time 0.720 (0.772) Data 0.001 (0.002) Loss 1.7090 (1.7181) Prec@1 50.000 (54.189) Prec@5 86.875 (83.299) Epoch: [66][5850/11272] Time 0.825 (0.772) Data 0.001 (0.002) Loss 1.9555 (1.7182) Prec@1 47.500 (54.188) Prec@5 80.625 (83.296) Epoch: [66][5860/11272] Time 0.834 (0.773) Data 0.001 (0.002) Loss 1.5814 (1.7181) Prec@1 56.875 (54.191) Prec@5 85.625 (83.299) Epoch: [66][5870/11272] Time 0.763 (0.773) Data 0.002 (0.002) Loss 1.4630 (1.7180) Prec@1 58.750 (54.192) Prec@5 90.000 (83.299) Epoch: [66][5880/11272] Time 0.780 (0.773) Data 0.001 (0.002) Loss 2.0097 (1.7182) Prec@1 53.125 (54.189) Prec@5 75.625 (83.295) Epoch: [66][5890/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.4404 (1.7183) Prec@1 57.500 (54.191) Prec@5 86.250 (83.294) Epoch: [66][5900/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.8816 (1.7183) Prec@1 51.875 (54.190) Prec@5 81.875 (83.292) Epoch: [66][5910/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.7760 (1.7184) Prec@1 55.000 (54.190) Prec@5 81.875 (83.292) Epoch: [66][5920/11272] Time 0.843 (0.773) Data 0.001 (0.002) Loss 1.8419 (1.7184) Prec@1 51.250 (54.191) Prec@5 79.375 (83.291) Epoch: [66][5930/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.6855 (1.7184) Prec@1 55.000 (54.189) Prec@5 80.000 (83.291) Epoch: [66][5940/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.7631 (1.7185) Prec@1 50.000 (54.187) Prec@5 83.750 (83.290) Epoch: [66][5950/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6278 (1.7184) Prec@1 60.000 (54.188) Prec@5 85.625 (83.291) Epoch: [66][5960/11272] Time 0.849 (0.773) Data 0.002 (0.002) Loss 1.4910 (1.7184) Prec@1 63.750 (54.189) Prec@5 87.500 (83.291) Epoch: [66][5970/11272] Time 0.822 (0.773) Data 0.002 (0.002) Loss 1.9908 (1.7184) Prec@1 52.500 (54.191) Prec@5 80.625 (83.293) Epoch: [66][5980/11272] Time 0.736 (0.773) Data 0.002 (0.002) Loss 1.7586 (1.7184) Prec@1 52.500 (54.193) Prec@5 83.125 (83.293) Epoch: [66][5990/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.8513 (1.7186) Prec@1 54.375 (54.191) Prec@5 80.625 (83.290) Epoch: [66][6000/11272] Time 0.813 (0.773) Data 0.001 (0.002) Loss 2.1286 (1.7187) Prec@1 45.625 (54.188) Prec@5 74.375 (83.287) Epoch: [66][6010/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.6086 (1.7186) Prec@1 56.875 (54.191) Prec@5 83.125 (83.286) Epoch: [66][6020/11272] Time 0.736 (0.773) Data 0.002 (0.002) Loss 1.8944 (1.7187) Prec@1 51.875 (54.189) Prec@5 78.125 (83.286) Epoch: [66][6030/11272] Time 0.840 (0.773) Data 0.002 (0.002) Loss 1.7870 (1.7186) Prec@1 51.250 (54.192) Prec@5 80.000 (83.286) Epoch: [66][6040/11272] Time 0.878 (0.773) Data 0.002 (0.002) Loss 1.7782 (1.7186) Prec@1 53.750 (54.193) Prec@5 80.000 (83.286) Epoch: [66][6050/11272] Time 0.724 (0.773) Data 0.002 (0.002) Loss 1.7825 (1.7186) Prec@1 55.000 (54.192) Prec@5 78.750 (83.284) Epoch: [66][6060/11272] Time 0.763 (0.773) Data 0.002 (0.002) Loss 1.7254 (1.7187) Prec@1 56.875 (54.189) Prec@5 83.750 (83.283) Epoch: [66][6070/11272] Time 0.832 (0.773) Data 0.001 (0.002) Loss 1.9040 (1.7187) Prec@1 51.875 (54.193) Prec@5 80.000 (83.283) Epoch: [66][6080/11272] Time 0.846 (0.773) Data 0.001 (0.002) Loss 1.8133 (1.7187) Prec@1 55.625 (54.195) Prec@5 80.625 (83.283) Epoch: [66][6090/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.6427 (1.7188) Prec@1 53.125 (54.194) Prec@5 85.000 (83.281) Epoch: [66][6100/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.6837 (1.7187) Prec@1 57.500 (54.196) Prec@5 84.375 (83.283) Epoch: [66][6110/11272] Time 0.825 (0.773) Data 0.001 (0.002) Loss 1.7952 (1.7186) Prec@1 50.625 (54.197) Prec@5 81.875 (83.286) Epoch: [66][6120/11272] Time 0.803 (0.773) Data 0.001 (0.002) Loss 1.6327 (1.7187) Prec@1 53.750 (54.196) Prec@5 86.875 (83.285) Epoch: [66][6130/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.8509 (1.7187) Prec@1 53.125 (54.196) Prec@5 81.250 (83.286) Epoch: [66][6140/11272] Time 0.735 (0.773) Data 0.001 (0.002) Loss 1.6360 (1.7187) Prec@1 56.875 (54.196) Prec@5 85.000 (83.286) Epoch: [66][6150/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.6937 (1.7188) Prec@1 54.375 (54.193) Prec@5 84.375 (83.286) Epoch: [66][6160/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.6099 (1.7188) Prec@1 56.875 (54.196) Prec@5 85.625 (83.286) Epoch: [66][6170/11272] Time 0.736 (0.773) Data 0.001 (0.002) Loss 1.6533 (1.7187) Prec@1 55.625 (54.195) Prec@5 86.875 (83.286) Epoch: [66][6180/11272] Time 0.845 (0.773) Data 0.001 (0.002) Loss 1.5985 (1.7187) Prec@1 55.000 (54.196) Prec@5 87.500 (83.288) Epoch: [66][6190/11272] Time 0.841 (0.773) Data 0.001 (0.002) Loss 1.8025 (1.7187) Prec@1 53.750 (54.195) Prec@5 79.375 (83.288) Epoch: [66][6200/11272] Time 0.708 (0.773) Data 0.005 (0.002) Loss 1.5101 (1.7186) Prec@1 64.375 (54.197) Prec@5 87.500 (83.290) Epoch: [66][6210/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.9243 (1.7185) Prec@1 51.250 (54.199) Prec@5 78.750 (83.291) Epoch: [66][6220/11272] Time 0.841 (0.773) Data 0.001 (0.002) Loss 1.6476 (1.7184) Prec@1 56.875 (54.205) Prec@5 83.750 (83.290) Epoch: [66][6230/11272] Time 0.829 (0.773) Data 0.002 (0.002) Loss 1.8530 (1.7183) Prec@1 49.375 (54.204) Prec@5 84.375 (83.293) Epoch: [66][6240/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.6568 (1.7184) Prec@1 56.250 (54.202) Prec@5 85.000 (83.293) Epoch: [66][6250/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.4153 (1.7183) Prec@1 60.625 (54.203) Prec@5 89.375 (83.294) Epoch: [66][6260/11272] Time 0.805 (0.773) Data 0.002 (0.002) Loss 1.7184 (1.7184) Prec@1 49.375 (54.200) Prec@5 83.750 (83.293) Epoch: [66][6270/11272] Time 0.812 (0.773) Data 0.001 (0.002) Loss 1.8403 (1.7183) Prec@1 57.500 (54.202) Prec@5 84.375 (83.294) Epoch: [66][6280/11272] Time 0.719 (0.773) Data 0.002 (0.002) Loss 1.6706 (1.7184) Prec@1 56.875 (54.199) Prec@5 83.750 (83.293) Epoch: [66][6290/11272] Time 0.780 (0.773) Data 0.001 (0.002) Loss 1.7022 (1.7184) Prec@1 55.625 (54.200) Prec@5 82.500 (83.293) Epoch: [66][6300/11272] Time 0.796 (0.773) Data 0.001 (0.002) Loss 1.6282 (1.7184) Prec@1 58.125 (54.200) Prec@5 85.000 (83.292) Epoch: [66][6310/11272] Time 0.718 (0.773) Data 0.001 (0.002) Loss 1.6201 (1.7185) Prec@1 56.250 (54.201) Prec@5 87.500 (83.290) Epoch: [66][6320/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 2.0045 (1.7185) Prec@1 43.125 (54.199) Prec@5 78.125 (83.290) Epoch: [66][6330/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.7168 (1.7185) Prec@1 51.875 (54.197) Prec@5 81.250 (83.290) Epoch: [66][6340/11272] Time 0.846 (0.773) Data 0.001 (0.002) Loss 1.5096 (1.7183) Prec@1 60.625 (54.203) Prec@5 86.875 (83.293) Epoch: [66][6350/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.9677 (1.7184) Prec@1 46.875 (54.200) Prec@5 80.000 (83.292) Epoch: [66][6360/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.8094 (1.7184) Prec@1 51.875 (54.200) Prec@5 83.125 (83.293) Epoch: [66][6370/11272] Time 0.798 (0.773) Data 0.001 (0.002) Loss 1.9937 (1.7184) Prec@1 43.750 (54.199) Prec@5 80.625 (83.292) Epoch: [66][6380/11272] Time 0.810 (0.773) Data 0.001 (0.002) Loss 1.7027 (1.7184) Prec@1 58.750 (54.200) Prec@5 82.500 (83.293) Epoch: [66][6390/11272] Time 0.742 (0.773) Data 0.001 (0.002) Loss 1.8299 (1.7185) Prec@1 51.875 (54.199) Prec@5 83.125 (83.291) Epoch: [66][6400/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.5573 (1.7184) Prec@1 57.500 (54.198) Prec@5 84.375 (83.292) Epoch: [66][6410/11272] Time 0.838 (0.773) Data 0.001 (0.002) Loss 1.8650 (1.7186) Prec@1 49.375 (54.194) Prec@5 78.125 (83.289) Epoch: [66][6420/11272] Time 0.710 (0.773) Data 0.003 (0.002) Loss 1.5445 (1.7185) Prec@1 56.250 (54.195) Prec@5 85.625 (83.290) Epoch: [66][6430/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6183 (1.7185) Prec@1 54.375 (54.197) Prec@5 81.875 (83.289) Epoch: [66][6440/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.8246 (1.7186) Prec@1 55.625 (54.199) Prec@5 83.125 (83.287) Epoch: [66][6450/11272] Time 0.792 (0.773) Data 0.001 (0.002) Loss 1.7276 (1.7186) Prec@1 50.625 (54.199) Prec@5 86.875 (83.287) Epoch: [66][6460/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.4859 (1.7186) Prec@1 62.500 (54.200) Prec@5 87.500 (83.285) Epoch: [66][6470/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.3185 (1.7186) Prec@1 65.000 (54.200) Prec@5 90.625 (83.286) Epoch: [66][6480/11272] Time 0.831 (0.773) Data 0.001 (0.002) Loss 1.5284 (1.7185) Prec@1 58.125 (54.201) Prec@5 86.875 (83.287) Epoch: [66][6490/11272] Time 0.861 (0.773) Data 0.001 (0.002) Loss 1.7061 (1.7186) Prec@1 53.750 (54.200) Prec@5 80.625 (83.287) Epoch: [66][6500/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.5751 (1.7184) Prec@1 57.500 (54.204) Prec@5 85.000 (83.289) Epoch: [66][6510/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.4803 (1.7184) Prec@1 60.000 (54.205) Prec@5 87.500 (83.290) Epoch: [66][6520/11272] Time 0.794 (0.773) Data 0.001 (0.002) Loss 1.6610 (1.7184) Prec@1 59.375 (54.205) Prec@5 83.125 (83.291) Epoch: [66][6530/11272] Time 0.818 (0.773) Data 0.002 (0.002) Loss 1.8601 (1.7184) Prec@1 52.500 (54.203) Prec@5 80.000 (83.290) Epoch: [66][6540/11272] Time 0.716 (0.773) Data 0.001 (0.002) Loss 1.6541 (1.7185) Prec@1 56.250 (54.203) Prec@5 85.000 (83.292) Epoch: [66][6550/11272] Time 0.810 (0.773) Data 0.001 (0.002) Loss 2.0315 (1.7185) Prec@1 45.000 (54.204) Prec@5 77.500 (83.290) Epoch: [66][6560/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.7168 (1.7186) Prec@1 53.125 (54.203) Prec@5 83.750 (83.289) Epoch: [66][6570/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.7729 (1.7186) Prec@1 51.875 (54.203) Prec@5 86.250 (83.289) Epoch: [66][6580/11272] Time 0.728 (0.773) Data 0.001 (0.002) Loss 1.6186 (1.7185) Prec@1 54.375 (54.203) Prec@5 86.875 (83.290) Epoch: [66][6590/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.8054 (1.7185) Prec@1 52.500 (54.204) Prec@5 84.375 (83.290) Epoch: [66][6600/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.8859 (1.7185) Prec@1 52.500 (54.204) Prec@5 78.750 (83.291) Epoch: [66][6610/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6619 (1.7185) Prec@1 57.500 (54.204) Prec@5 84.375 (83.290) Epoch: [66][6620/11272] Time 0.723 (0.773) Data 0.002 (0.002) Loss 1.6525 (1.7186) Prec@1 56.875 (54.203) Prec@5 86.875 (83.289) Epoch: [66][6630/11272] Time 0.878 (0.773) Data 0.002 (0.002) Loss 1.8119 (1.7186) Prec@1 50.000 (54.202) Prec@5 85.000 (83.287) Epoch: [66][6640/11272] Time 0.808 (0.773) Data 0.002 (0.002) Loss 1.7922 (1.7186) Prec@1 56.875 (54.202) Prec@5 78.750 (83.287) Epoch: [66][6650/11272] Time 0.733 (0.773) Data 0.001 (0.002) Loss 1.7803 (1.7187) Prec@1 55.000 (54.201) Prec@5 80.625 (83.286) Epoch: [66][6660/11272] Time 0.748 (0.773) Data 0.001 (0.002) Loss 1.7909 (1.7187) Prec@1 51.250 (54.203) Prec@5 81.875 (83.286) Epoch: [66][6670/11272] Time 0.877 (0.773) Data 0.002 (0.002) Loss 1.7635 (1.7187) Prec@1 56.250 (54.205) Prec@5 80.000 (83.286) Epoch: [66][6680/11272] Time 0.734 (0.773) Data 0.003 (0.002) Loss 1.5750 (1.7188) Prec@1 56.875 (54.202) Prec@5 86.250 (83.285) Epoch: [66][6690/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.7346 (1.7188) Prec@1 51.875 (54.201) Prec@5 83.125 (83.285) Epoch: [66][6700/11272] Time 0.790 (0.773) Data 0.002 (0.002) Loss 1.9916 (1.7187) Prec@1 46.250 (54.205) Prec@5 79.375 (83.287) Epoch: [66][6710/11272] Time 0.819 (0.773) Data 0.001 (0.002) Loss 1.6355 (1.7187) Prec@1 51.875 (54.205) Prec@5 84.375 (83.288) Epoch: [66][6720/11272] Time 0.738 (0.773) Data 0.001 (0.002) Loss 2.0223 (1.7186) Prec@1 47.500 (54.207) Prec@5 80.000 (83.290) Epoch: [66][6730/11272] Time 0.730 (0.773) Data 0.002 (0.002) Loss 1.6010 (1.7185) Prec@1 58.125 (54.207) Prec@5 85.000 (83.292) Epoch: [66][6740/11272] Time 0.869 (0.773) Data 0.002 (0.002) Loss 1.7320 (1.7185) Prec@1 58.750 (54.210) Prec@5 83.125 (83.293) Epoch: [66][6750/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.6063 (1.7185) Prec@1 56.875 (54.210) Prec@5 85.000 (83.292) Epoch: [66][6760/11272] Time 0.692 (0.773) Data 0.001 (0.002) Loss 1.5536 (1.7184) Prec@1 58.750 (54.214) Prec@5 86.875 (83.295) Epoch: [66][6770/11272] Time 0.727 (0.773) Data 0.001 (0.002) Loss 1.5877 (1.7185) Prec@1 59.375 (54.212) Prec@5 86.250 (83.293) Epoch: [66][6780/11272] Time 0.890 (0.773) Data 0.001 (0.002) Loss 1.6734 (1.7185) Prec@1 55.625 (54.212) Prec@5 80.000 (83.293) Epoch: [66][6790/11272] Time 0.840 (0.773) Data 0.002 (0.002) Loss 1.6590 (1.7184) Prec@1 56.875 (54.213) Prec@5 85.000 (83.294) Epoch: [66][6800/11272] Time 0.720 (0.773) Data 0.002 (0.002) Loss 1.8808 (1.7186) Prec@1 51.875 (54.208) Prec@5 82.500 (83.292) Epoch: [66][6810/11272] Time 0.841 (0.773) Data 0.002 (0.002) Loss 1.8111 (1.7185) Prec@1 58.125 (54.210) Prec@5 85.000 (83.291) Epoch: [66][6820/11272] Time 0.889 (0.773) Data 0.001 (0.002) Loss 1.7549 (1.7185) Prec@1 55.000 (54.208) Prec@5 83.125 (83.293) Epoch: [66][6830/11272] Time 0.754 (0.773) Data 0.001 (0.002) Loss 1.6269 (1.7184) Prec@1 53.750 (54.210) Prec@5 84.375 (83.294) Epoch: [66][6840/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.8462 (1.7184) Prec@1 51.250 (54.209) Prec@5 80.000 (83.294) Epoch: [66][6850/11272] Time 0.885 (0.773) Data 0.001 (0.002) Loss 1.5411 (1.7184) Prec@1 57.500 (54.212) Prec@5 86.875 (83.295) Epoch: [66][6860/11272] Time 0.861 (0.773) Data 0.001 (0.002) Loss 1.7210 (1.7184) Prec@1 57.500 (54.212) Prec@5 83.750 (83.295) Epoch: [66][6870/11272] Time 0.722 (0.773) Data 0.002 (0.002) Loss 1.7743 (1.7184) Prec@1 56.875 (54.212) Prec@5 81.250 (83.294) Epoch: [66][6880/11272] Time 0.739 (0.773) Data 0.002 (0.002) Loss 1.8809 (1.7184) Prec@1 56.250 (54.214) Prec@5 80.000 (83.295) Epoch: [66][6890/11272] Time 0.827 (0.773) Data 0.002 (0.002) Loss 1.8315 (1.7184) Prec@1 53.750 (54.214) Prec@5 78.125 (83.294) Epoch: [66][6900/11272] Time 0.838 (0.773) Data 0.002 (0.002) Loss 1.6178 (1.7183) Prec@1 50.000 (54.214) Prec@5 90.000 (83.295) Epoch: [66][6910/11272] Time 0.698 (0.773) Data 0.002 (0.002) Loss 1.5471 (1.7183) Prec@1 57.500 (54.213) Prec@5 83.750 (83.294) Epoch: [66][6920/11272] Time 0.753 (0.773) Data 0.002 (0.002) Loss 1.6017 (1.7182) Prec@1 55.625 (54.215) Prec@5 86.250 (83.296) Epoch: [66][6930/11272] Time 0.809 (0.773) Data 0.001 (0.002) Loss 1.7154 (1.7182) Prec@1 57.500 (54.216) Prec@5 83.125 (83.295) Epoch: [66][6940/11272] Time 0.850 (0.773) Data 0.002 (0.002) Loss 1.4759 (1.7182) Prec@1 61.250 (54.217) Prec@5 88.125 (83.294) Epoch: [66][6950/11272] Time 0.716 (0.773) Data 0.002 (0.002) Loss 1.9928 (1.7183) Prec@1 50.000 (54.216) Prec@5 78.125 (83.295) Epoch: [66][6960/11272] Time 0.872 (0.773) Data 0.002 (0.002) Loss 1.6800 (1.7183) Prec@1 54.375 (54.214) Prec@5 82.500 (83.295) Epoch: [66][6970/11272] Time 0.875 (0.773) Data 0.002 (0.002) Loss 1.5532 (1.7182) Prec@1 56.250 (54.215) Prec@5 85.625 (83.296) Epoch: [66][6980/11272] Time 0.705 (0.773) Data 0.002 (0.002) Loss 1.6988 (1.7183) Prec@1 56.250 (54.214) Prec@5 84.375 (83.294) Epoch: [66][6990/11272] Time 0.721 (0.773) Data 0.002 (0.002) Loss 1.8344 (1.7182) Prec@1 51.250 (54.218) Prec@5 81.875 (83.297) Epoch: [66][7000/11272] Time 0.834 (0.773) Data 0.003 (0.002) Loss 1.7782 (1.7183) Prec@1 53.750 (54.216) Prec@5 82.500 (83.296) Epoch: [66][7010/11272] Time 0.866 (0.773) Data 0.001 (0.002) Loss 1.6996 (1.7182) Prec@1 53.125 (54.216) Prec@5 85.625 (83.299) Epoch: [66][7020/11272] Time 0.699 (0.773) Data 0.001 (0.002) Loss 1.9141 (1.7181) Prec@1 46.875 (54.215) Prec@5 84.375 (83.301) Epoch: [66][7030/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.6611 (1.7182) Prec@1 59.375 (54.216) Prec@5 83.750 (83.301) Epoch: [66][7040/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.6743 (1.7182) Prec@1 55.625 (54.216) Prec@5 84.375 (83.300) Epoch: [66][7050/11272] Time 0.863 (0.773) Data 0.002 (0.002) Loss 1.9088 (1.7183) Prec@1 48.750 (54.213) Prec@5 81.250 (83.301) Epoch: [66][7060/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.9669 (1.7183) Prec@1 45.000 (54.213) Prec@5 77.500 (83.301) Epoch: [66][7070/11272] Time 0.726 (0.773) Data 0.002 (0.002) Loss 1.6491 (1.7181) Prec@1 51.250 (54.216) Prec@5 83.125 (83.303) Epoch: [66][7080/11272] Time 0.870 (0.773) Data 0.001 (0.002) Loss 1.7199 (1.7182) Prec@1 59.375 (54.215) Prec@5 84.375 (83.302) Epoch: [66][7090/11272] Time 0.722 (0.773) Data 0.002 (0.002) Loss 1.6118 (1.7182) Prec@1 54.375 (54.215) Prec@5 86.875 (83.302) Epoch: [66][7100/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.6738 (1.7181) Prec@1 53.750 (54.215) Prec@5 86.250 (83.301) Epoch: [66][7110/11272] Time 0.843 (0.773) Data 0.001 (0.002) Loss 1.8254 (1.7182) Prec@1 51.875 (54.215) Prec@5 81.250 (83.303) Epoch: [66][7120/11272] Time 0.801 (0.773) Data 0.002 (0.002) Loss 1.6782 (1.7181) Prec@1 58.750 (54.217) Prec@5 83.125 (83.302) Epoch: [66][7130/11272] Time 0.738 (0.773) Data 0.002 (0.002) Loss 1.9563 (1.7182) Prec@1 50.625 (54.215) Prec@5 78.125 (83.301) Epoch: [66][7140/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.7247 (1.7181) Prec@1 54.375 (54.216) Prec@5 83.750 (83.302) Epoch: [66][7150/11272] Time 0.881 (0.773) Data 0.002 (0.002) Loss 1.7313 (1.7181) Prec@1 56.875 (54.215) Prec@5 82.500 (83.302) Epoch: [66][7160/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.3822 (1.7181) Prec@1 65.625 (54.216) Prec@5 89.375 (83.305) Epoch: [66][7170/11272] Time 0.771 (0.773) Data 0.002 (0.002) Loss 1.8968 (1.7182) Prec@1 54.375 (54.215) Prec@5 80.625 (83.304) Epoch: [66][7180/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.8177 (1.7182) Prec@1 56.875 (54.215) Prec@5 81.875 (83.304) Epoch: [66][7190/11272] Time 0.842 (0.773) Data 0.002 (0.002) Loss 1.8429 (1.7181) Prec@1 53.125 (54.214) Prec@5 83.125 (83.306) Epoch: [66][7200/11272] Time 0.856 (0.773) Data 0.002 (0.002) Loss 1.6819 (1.7181) Prec@1 56.250 (54.216) Prec@5 85.625 (83.307) Epoch: [66][7210/11272] Time 0.731 (0.773) Data 0.002 (0.002) Loss 1.6477 (1.7180) Prec@1 53.125 (54.217) Prec@5 81.875 (83.308) Epoch: [66][7220/11272] Time 0.862 (0.774) Data 0.001 (0.002) Loss 1.6686 (1.7180) Prec@1 53.125 (54.216) Prec@5 83.750 (83.309) Epoch: [66][7230/11272] Time 0.852 (0.774) Data 0.001 (0.002) Loss 1.4335 (1.7180) Prec@1 60.625 (54.217) Prec@5 88.750 (83.309) Epoch: [66][7240/11272] Time 0.724 (0.774) Data 0.002 (0.002) Loss 1.6580 (1.7180) Prec@1 54.375 (54.215) Prec@5 85.625 (83.311) Epoch: [66][7250/11272] Time 0.760 (0.774) Data 0.002 (0.002) Loss 1.5638 (1.7179) Prec@1 56.250 (54.215) Prec@5 85.625 (83.311) Epoch: [66][7260/11272] Time 0.840 (0.774) Data 0.002 (0.002) Loss 1.6043 (1.7178) Prec@1 61.875 (54.218) Prec@5 82.500 (83.315) Epoch: [66][7270/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.6904 (1.7178) Prec@1 56.250 (54.218) Prec@5 84.375 (83.314) Epoch: [66][7280/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.8762 (1.7178) Prec@1 53.750 (54.218) Prec@5 79.375 (83.315) Epoch: [66][7290/11272] Time 0.725 (0.774) Data 0.002 (0.002) Loss 1.8817 (1.7178) Prec@1 51.250 (54.217) Prec@5 81.250 (83.315) Epoch: [66][7300/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.6480 (1.7178) Prec@1 53.750 (54.216) Prec@5 83.125 (83.314) Epoch: [66][7310/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.8049 (1.7179) Prec@1 54.375 (54.214) Prec@5 78.750 (83.313) Epoch: [66][7320/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.7482 (1.7178) Prec@1 51.250 (54.215) Prec@5 84.375 (83.315) Epoch: [66][7330/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.7744 (1.7177) Prec@1 50.000 (54.217) Prec@5 83.125 (83.318) Epoch: [66][7340/11272] Time 0.830 (0.774) Data 0.002 (0.002) Loss 2.0888 (1.7178) Prec@1 48.125 (54.215) Prec@5 78.750 (83.317) Epoch: [66][7350/11272] Time 0.721 (0.774) Data 0.004 (0.002) Loss 1.6876 (1.7179) Prec@1 58.125 (54.215) Prec@5 83.750 (83.315) Epoch: [66][7360/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 2.0541 (1.7179) Prec@1 53.750 (54.216) Prec@5 78.750 (83.317) Epoch: [66][7370/11272] Time 0.882 (0.774) Data 0.002 (0.002) Loss 2.1582 (1.7179) Prec@1 54.375 (54.216) Prec@5 73.125 (83.316) Epoch: [66][7380/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.9650 (1.7179) Prec@1 51.875 (54.216) Prec@5 79.375 (83.315) Epoch: [66][7390/11272] Time 0.725 (0.774) Data 0.002 (0.002) Loss 1.9295 (1.7180) Prec@1 51.875 (54.214) Prec@5 78.750 (83.314) Epoch: [66][7400/11272] Time 0.763 (0.774) Data 0.001 (0.002) Loss 1.6503 (1.7180) Prec@1 55.625 (54.212) Prec@5 84.375 (83.317) Epoch: [66][7410/11272] Time 0.893 (0.774) Data 0.001 (0.002) Loss 1.7344 (1.7179) Prec@1 56.250 (54.213) Prec@5 79.375 (83.316) Epoch: [66][7420/11272] Time 0.859 (0.774) Data 0.002 (0.002) Loss 2.0682 (1.7180) Prec@1 46.250 (54.213) Prec@5 79.375 (83.316) Epoch: [66][7430/11272] Time 0.780 (0.774) Data 0.001 (0.002) Loss 1.9382 (1.7180) Prec@1 48.750 (54.212) Prec@5 81.875 (83.315) Epoch: [66][7440/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.7185 (1.7180) Prec@1 55.625 (54.214) Prec@5 86.250 (83.316) Epoch: [66][7450/11272] Time 0.836 (0.774) Data 0.001 (0.002) Loss 1.6851 (1.7180) Prec@1 56.250 (54.215) Prec@5 81.875 (83.316) Epoch: [66][7460/11272] Time 0.835 (0.774) Data 0.002 (0.002) Loss 1.8451 (1.7180) Prec@1 53.750 (54.215) Prec@5 83.750 (83.316) Epoch: [66][7470/11272] Time 0.729 (0.774) Data 0.002 (0.002) Loss 1.7216 (1.7180) Prec@1 58.125 (54.217) Prec@5 80.000 (83.316) Epoch: [66][7480/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 1.7282 (1.7180) Prec@1 54.375 (54.215) Prec@5 79.375 (83.315) Epoch: [66][7490/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.9721 (1.7181) Prec@1 48.125 (54.213) Prec@5 77.500 (83.315) Epoch: [66][7500/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.6534 (1.7180) Prec@1 56.250 (54.212) Prec@5 85.000 (83.315) Epoch: [66][7510/11272] Time 0.742 (0.774) Data 0.002 (0.002) Loss 1.5750 (1.7181) Prec@1 58.125 (54.212) Prec@5 82.500 (83.313) Epoch: [66][7520/11272] Time 0.911 (0.774) Data 0.002 (0.002) Loss 1.7932 (1.7180) Prec@1 52.500 (54.214) Prec@5 81.875 (83.314) Epoch: [66][7530/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.7527 (1.7180) Prec@1 57.500 (54.213) Prec@5 80.000 (83.312) Epoch: [66][7540/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.6567 (1.7181) Prec@1 54.375 (54.212) Prec@5 79.375 (83.311) Epoch: [66][7550/11272] Time 0.688 (0.774) Data 0.001 (0.002) Loss 1.7745 (1.7181) Prec@1 51.875 (54.215) Prec@5 84.375 (83.311) Epoch: [66][7560/11272] Time 0.866 (0.774) Data 0.001 (0.002) Loss 1.6915 (1.7182) Prec@1 53.125 (54.212) Prec@5 82.500 (83.308) Epoch: [66][7570/11272] Time 0.787 (0.774) Data 0.002 (0.002) Loss 1.7151 (1.7182) Prec@1 58.750 (54.215) Prec@5 79.375 (83.308) Epoch: [66][7580/11272] Time 0.692 (0.774) Data 0.002 (0.002) Loss 1.6817 (1.7181) Prec@1 56.250 (54.215) Prec@5 82.500 (83.307) Epoch: [66][7590/11272] Time 0.702 (0.774) Data 0.001 (0.002) Loss 1.4540 (1.7181) Prec@1 59.375 (54.217) Prec@5 88.125 (83.309) Epoch: [66][7600/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.7527 (1.7181) Prec@1 51.250 (54.217) Prec@5 80.625 (83.307) Epoch: [66][7610/11272] Time 0.712 (0.774) Data 0.004 (0.002) Loss 1.7411 (1.7181) Prec@1 53.750 (54.219) Prec@5 83.125 (83.307) Epoch: [66][7620/11272] Time 0.745 (0.774) Data 0.002 (0.002) Loss 1.8233 (1.7182) Prec@1 53.750 (54.220) Prec@5 81.250 (83.305) Epoch: [66][7630/11272] Time 0.797 (0.774) Data 0.001 (0.002) Loss 1.6271 (1.7182) Prec@1 53.750 (54.219) Prec@5 86.875 (83.306) Epoch: [66][7640/11272] Time 0.831 (0.774) Data 0.002 (0.002) Loss 1.6366 (1.7182) Prec@1 55.625 (54.220) Prec@5 85.625 (83.305) Epoch: [66][7650/11272] Time 0.707 (0.774) Data 0.002 (0.002) Loss 1.4171 (1.7181) Prec@1 53.750 (54.220) Prec@5 90.000 (83.306) Epoch: [66][7660/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.7492 (1.7182) Prec@1 50.000 (54.219) Prec@5 83.125 (83.305) Epoch: [66][7670/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.8617 (1.7183) Prec@1 51.250 (54.218) Prec@5 81.875 (83.301) Epoch: [66][7680/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.6074 (1.7183) Prec@1 53.125 (54.218) Prec@5 87.500 (83.301) Epoch: [66][7690/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6214 (1.7183) Prec@1 56.875 (54.218) Prec@5 85.000 (83.300) Epoch: [66][7700/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.8750 (1.7183) Prec@1 55.625 (54.220) Prec@5 77.500 (83.300) Epoch: [66][7710/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7294 (1.7183) Prec@1 48.750 (54.219) Prec@5 85.000 (83.301) Epoch: [66][7720/11272] Time 0.826 (0.775) Data 0.002 (0.002) Loss 1.6972 (1.7183) Prec@1 51.875 (54.220) Prec@5 86.250 (83.300) Epoch: [66][7730/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.7135 (1.7185) Prec@1 56.875 (54.215) Prec@5 78.750 (83.297) Epoch: [66][7740/11272] Time 0.912 (0.775) Data 0.002 (0.002) Loss 1.7818 (1.7185) Prec@1 55.000 (54.217) Prec@5 83.750 (83.298) Epoch: [66][7750/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.6388 (1.7184) Prec@1 49.375 (54.215) Prec@5 86.875 (83.298) Epoch: [66][7760/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7610 (1.7184) Prec@1 51.875 (54.216) Prec@5 83.750 (83.299) Epoch: [66][7770/11272] Time 0.755 (0.775) Data 0.002 (0.002) Loss 1.8575 (1.7184) Prec@1 50.000 (54.215) Prec@5 80.000 (83.300) Epoch: [66][7780/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7379 (1.7183) Prec@1 56.875 (54.218) Prec@5 80.625 (83.300) Epoch: [66][7790/11272] Time 0.858 (0.775) Data 0.001 (0.002) Loss 1.7747 (1.7183) Prec@1 51.875 (54.215) Prec@5 81.250 (83.301) Epoch: [66][7800/11272] Time 0.780 (0.775) Data 0.001 (0.002) Loss 1.7434 (1.7184) Prec@1 58.125 (54.215) Prec@5 83.125 (83.299) Epoch: [66][7810/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7260 (1.7184) Prec@1 55.625 (54.213) Prec@5 82.500 (83.300) Epoch: [66][7820/11272] Time 0.859 (0.775) Data 0.002 (0.002) Loss 1.7330 (1.7184) Prec@1 51.875 (54.213) Prec@5 81.875 (83.299) Epoch: [66][7830/11272] Time 0.848 (0.775) Data 0.002 (0.002) Loss 1.6054 (1.7184) Prec@1 56.875 (54.213) Prec@5 83.750 (83.299) Epoch: [66][7840/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.7427 (1.7184) Prec@1 53.125 (54.212) Prec@5 83.125 (83.299) Epoch: [66][7850/11272] Time 0.706 (0.775) Data 0.002 (0.002) Loss 1.5081 (1.7184) Prec@1 61.875 (54.215) Prec@5 86.875 (83.299) Epoch: [66][7860/11272] Time 0.882 (0.775) Data 0.002 (0.002) Loss 1.7254 (1.7184) Prec@1 54.375 (54.216) Prec@5 81.875 (83.299) Epoch: [66][7870/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7515 (1.7183) Prec@1 50.625 (54.216) Prec@5 84.375 (83.300) Epoch: [66][7880/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.7234 (1.7183) Prec@1 53.750 (54.216) Prec@5 84.375 (83.301) Epoch: [66][7890/11272] Time 0.879 (0.775) Data 0.002 (0.002) Loss 1.7253 (1.7183) Prec@1 54.375 (54.214) Prec@5 80.625 (83.299) Epoch: [66][7900/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.8043 (1.7184) Prec@1 51.875 (54.212) Prec@5 82.500 (83.298) Epoch: [66][7910/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.7643 (1.7184) Prec@1 50.625 (54.214) Prec@5 84.375 (83.300) Epoch: [66][7920/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.8578 (1.7184) Prec@1 50.000 (54.212) Prec@5 78.125 (83.298) Epoch: [66][7930/11272] Time 0.851 (0.775) Data 0.001 (0.002) Loss 1.5914 (1.7184) Prec@1 58.750 (54.214) Prec@5 86.250 (83.298) Epoch: [66][7940/11272] Time 0.853 (0.775) Data 0.001 (0.002) Loss 1.6404 (1.7184) Prec@1 54.375 (54.216) Prec@5 80.625 (83.297) Epoch: [66][7950/11272] Time 0.743 (0.775) Data 0.003 (0.002) Loss 1.8720 (1.7183) Prec@1 53.125 (54.217) Prec@5 78.125 (83.298) Epoch: [66][7960/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.6215 (1.7183) Prec@1 56.250 (54.217) Prec@5 84.375 (83.297) Epoch: [66][7970/11272] Time 0.870 (0.775) Data 0.001 (0.002) Loss 1.8544 (1.7184) Prec@1 50.625 (54.217) Prec@5 83.125 (83.297) Epoch: [66][7980/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.6074 (1.7183) Prec@1 52.500 (54.217) Prec@5 84.375 (83.298) Epoch: [66][7990/11272] Time 0.723 (0.775) Data 0.002 (0.002) Loss 1.8501 (1.7184) Prec@1 51.875 (54.215) Prec@5 81.875 (83.297) Epoch: [66][8000/11272] Time 0.751 (0.775) Data 0.001 (0.002) Loss 1.9503 (1.7183) Prec@1 42.500 (54.216) Prec@5 80.625 (83.300) Epoch: [66][8010/11272] Time 0.865 (0.775) Data 0.002 (0.002) Loss 1.6851 (1.7182) Prec@1 51.250 (54.216) Prec@5 83.750 (83.303) Epoch: [66][8020/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.6135 (1.7182) Prec@1 57.500 (54.215) Prec@5 84.375 (83.302) Epoch: [66][8030/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.8019 (1.7182) Prec@1 53.125 (54.214) Prec@5 83.125 (83.302) Epoch: [66][8040/11272] Time 0.896 (0.775) Data 0.003 (0.002) Loss 1.7238 (1.7183) Prec@1 53.750 (54.213) Prec@5 84.375 (83.301) Epoch: [66][8050/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.7158 (1.7183) Prec@1 53.750 (54.212) Prec@5 83.125 (83.300) Epoch: [66][8060/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.5511 (1.7183) Prec@1 63.125 (54.210) Prec@5 86.875 (83.299) Epoch: [66][8070/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.5179 (1.7184) Prec@1 57.500 (54.208) Prec@5 88.750 (83.298) Epoch: [66][8080/11272] Time 0.863 (0.775) Data 0.002 (0.002) Loss 1.6047 (1.7185) Prec@1 57.500 (54.208) Prec@5 84.375 (83.297) Epoch: [66][8090/11272] Time 0.843 (0.775) Data 0.002 (0.002) Loss 1.7114 (1.7185) Prec@1 56.250 (54.207) Prec@5 85.000 (83.297) Epoch: [66][8100/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6424 (1.7185) Prec@1 51.875 (54.206) Prec@5 83.750 (83.299) Epoch: [66][8110/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.8567 (1.7184) Prec@1 51.250 (54.208) Prec@5 83.750 (83.299) Epoch: [66][8120/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.7443 (1.7185) Prec@1 54.375 (54.207) Prec@5 81.875 (83.299) Epoch: [66][8130/11272] Time 0.885 (0.776) Data 0.001 (0.002) Loss 1.4294 (1.7184) Prec@1 55.625 (54.209) Prec@5 87.500 (83.300) Epoch: [66][8140/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.8299 (1.7185) Prec@1 50.625 (54.207) Prec@5 80.000 (83.297) Epoch: [66][8150/11272] Time 0.877 (0.776) Data 0.001 (0.002) Loss 1.9992 (1.7185) Prec@1 46.250 (54.206) Prec@5 80.000 (83.297) Epoch: [66][8160/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 2.0002 (1.7185) Prec@1 46.875 (54.205) Prec@5 79.375 (83.297) Epoch: [66][8170/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6245 (1.7185) Prec@1 50.000 (54.204) Prec@5 85.625 (83.298) Epoch: [66][8180/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.7280 (1.7185) Prec@1 50.625 (54.203) Prec@5 82.500 (83.296) Epoch: [66][8190/11272] Time 0.852 (0.776) Data 0.002 (0.002) Loss 1.4759 (1.7185) Prec@1 61.250 (54.205) Prec@5 85.000 (83.295) Epoch: [66][8200/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.9007 (1.7186) Prec@1 48.750 (54.204) Prec@5 77.500 (83.293) Epoch: [66][8210/11272] Time 0.739 (0.776) Data 0.002 (0.002) Loss 1.7425 (1.7187) Prec@1 53.750 (54.202) Prec@5 82.500 (83.294) Epoch: [66][8220/11272] Time 0.785 (0.776) Data 0.001 (0.002) Loss 1.9332 (1.7187) Prec@1 49.375 (54.201) Prec@5 83.125 (83.292) Epoch: [66][8230/11272] Time 0.901 (0.776) Data 0.002 (0.002) Loss 1.6803 (1.7187) Prec@1 53.125 (54.201) Prec@5 86.875 (83.293) Epoch: [66][8240/11272] Time 0.932 (0.776) Data 0.002 (0.002) Loss 1.7359 (1.7187) Prec@1 53.125 (54.202) Prec@5 81.875 (83.292) Epoch: [66][8250/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.6976 (1.7187) Prec@1 56.250 (54.201) Prec@5 83.125 (83.292) Epoch: [66][8260/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7165 (1.7187) Prec@1 53.125 (54.200) Prec@5 80.625 (83.291) Epoch: [66][8270/11272] Time 0.877 (0.776) Data 0.002 (0.002) Loss 1.6524 (1.7188) Prec@1 53.750 (54.200) Prec@5 86.875 (83.290) Epoch: [66][8280/11272] Time 0.750 (0.776) Data 0.003 (0.002) Loss 1.8585 (1.7188) Prec@1 48.750 (54.199) Prec@5 81.875 (83.289) Epoch: [66][8290/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.7932 (1.7187) Prec@1 51.250 (54.203) Prec@5 82.500 (83.290) Epoch: [66][8300/11272] Time 0.869 (0.776) Data 0.001 (0.002) Loss 1.5588 (1.7188) Prec@1 56.875 (54.202) Prec@5 88.125 (83.291) Epoch: [66][8310/11272] Time 0.805 (0.776) Data 0.002 (0.002) Loss 1.6721 (1.7188) Prec@1 49.375 (54.202) Prec@5 87.500 (83.290) Epoch: [66][8320/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.5116 (1.7187) Prec@1 56.250 (54.203) Prec@5 88.750 (83.292) Epoch: [66][8330/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.9360 (1.7187) Prec@1 50.625 (54.203) Prec@5 80.000 (83.292) Epoch: [66][8340/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.6907 (1.7187) Prec@1 58.125 (54.203) Prec@5 80.000 (83.290) Epoch: [66][8350/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.6438 (1.7187) Prec@1 52.500 (54.204) Prec@5 85.625 (83.290) Epoch: [66][8360/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.6589 (1.7187) Prec@1 53.750 (54.205) Prec@5 83.125 (83.292) Epoch: [66][8370/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 1.7006 (1.7186) Prec@1 52.500 (54.207) Prec@5 83.750 (83.292) Epoch: [66][8380/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.6178 (1.7186) Prec@1 54.375 (54.207) Prec@5 83.125 (83.292) Epoch: [66][8390/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.9532 (1.7186) Prec@1 48.125 (54.206) Prec@5 77.500 (83.291) Epoch: [66][8400/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.7318 (1.7187) Prec@1 53.750 (54.205) Prec@5 84.375 (83.291) Epoch: [66][8410/11272] Time 0.865 (0.776) Data 0.002 (0.002) Loss 1.7853 (1.7187) Prec@1 46.875 (54.204) Prec@5 80.625 (83.291) Epoch: [66][8420/11272] Time 0.873 (0.776) Data 0.002 (0.002) Loss 1.8451 (1.7187) Prec@1 56.250 (54.206) Prec@5 78.750 (83.290) Epoch: [66][8430/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.5760 (1.7186) Prec@1 58.125 (54.207) Prec@5 83.125 (83.291) Epoch: [66][8440/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6419 (1.7185) Prec@1 56.875 (54.208) Prec@5 84.375 (83.292) Epoch: [66][8450/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.7935 (1.7185) Prec@1 51.250 (54.208) Prec@5 80.625 (83.293) Epoch: [66][8460/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.5787 (1.7184) Prec@1 55.000 (54.209) Prec@5 85.625 (83.294) Epoch: [66][8470/11272] Time 0.792 (0.776) Data 0.001 (0.002) Loss 1.6839 (1.7184) Prec@1 53.750 (54.209) Prec@5 86.250 (83.294) Epoch: [66][8480/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.7117 (1.7184) Prec@1 52.500 (54.209) Prec@5 84.375 (83.294) Epoch: [66][8490/11272] Time 0.860 (0.776) Data 0.002 (0.002) Loss 1.6749 (1.7184) Prec@1 56.875 (54.209) Prec@5 83.125 (83.293) Epoch: [66][8500/11272] Time 0.853 (0.776) Data 0.002 (0.002) Loss 1.6177 (1.7184) Prec@1 55.000 (54.210) Prec@5 85.625 (83.294) Epoch: [66][8510/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.5639 (1.7183) Prec@1 58.750 (54.211) Prec@5 85.000 (83.296) Epoch: [66][8520/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.5441 (1.7183) Prec@1 58.125 (54.209) Prec@5 83.125 (83.296) Epoch: [66][8530/11272] Time 0.831 (0.776) Data 0.002 (0.002) Loss 1.8292 (1.7183) Prec@1 50.000 (54.208) Prec@5 80.000 (83.295) Epoch: [66][8540/11272] Time 0.745 (0.776) Data 0.004 (0.002) Loss 1.6392 (1.7183) Prec@1 48.125 (54.207) Prec@5 85.625 (83.296) Epoch: [66][8550/11272] Time 0.696 (0.776) Data 0.001 (0.002) Loss 1.5806 (1.7183) Prec@1 55.625 (54.207) Prec@5 87.500 (83.297) Epoch: [66][8560/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.5073 (1.7182) Prec@1 54.375 (54.209) Prec@5 86.250 (83.298) Epoch: [66][8570/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.6380 (1.7181) Prec@1 55.000 (54.212) Prec@5 83.750 (83.299) Epoch: [66][8580/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.5062 (1.7181) Prec@1 56.875 (54.211) Prec@5 90.625 (83.299) Epoch: [66][8590/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 2.0062 (1.7182) Prec@1 46.250 (54.209) Prec@5 77.500 (83.298) Epoch: [66][8600/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.6148 (1.7182) Prec@1 55.625 (54.208) Prec@5 83.125 (83.298) Epoch: [66][8610/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.9141 (1.7182) Prec@1 54.375 (54.206) Prec@5 79.375 (83.295) Epoch: [66][8620/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.7731 (1.7181) Prec@1 49.375 (54.208) Prec@5 80.000 (83.296) Epoch: [66][8630/11272] Time 0.744 (0.776) Data 0.002 (0.002) Loss 1.9974 (1.7183) Prec@1 50.000 (54.203) Prec@5 78.125 (83.294) Epoch: [66][8640/11272] Time 0.875 (0.776) Data 0.002 (0.002) Loss 1.6733 (1.7183) Prec@1 51.250 (54.203) Prec@5 85.625 (83.293) Epoch: [66][8650/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.9729 (1.7183) Prec@1 50.625 (54.203) Prec@5 78.750 (83.294) Epoch: [66][8660/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5927 (1.7183) Prec@1 54.375 (54.202) Prec@5 83.750 (83.293) Epoch: [66][8670/11272] Time 0.860 (0.776) Data 0.002 (0.002) Loss 1.5760 (1.7183) Prec@1 56.250 (54.201) Prec@5 83.125 (83.293) Epoch: [66][8680/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6466 (1.7183) Prec@1 53.750 (54.202) Prec@5 85.000 (83.293) Epoch: [66][8690/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.6302 (1.7183) Prec@1 52.500 (54.204) Prec@5 85.625 (83.294) Epoch: [66][8700/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.6361 (1.7183) Prec@1 55.000 (54.204) Prec@5 85.625 (83.294) Epoch: [66][8710/11272] Time 0.902 (0.777) Data 0.001 (0.002) Loss 1.8064 (1.7183) Prec@1 53.125 (54.203) Prec@5 83.750 (83.294) Epoch: [66][8720/11272] Time 0.878 (0.777) Data 0.002 (0.002) Loss 1.9602 (1.7184) Prec@1 52.500 (54.204) Prec@5 80.000 (83.293) Epoch: [66][8730/11272] Time 0.746 (0.777) Data 0.001 (0.002) Loss 1.6681 (1.7183) Prec@1 58.125 (54.206) Prec@5 85.625 (83.294) Epoch: [66][8740/11272] Time 0.722 (0.777) Data 0.001 (0.002) Loss 1.7219 (1.7183) Prec@1 51.875 (54.206) Prec@5 81.875 (83.293) Epoch: [66][8750/11272] Time 0.835 (0.777) Data 0.002 (0.002) Loss 1.8434 (1.7183) Prec@1 46.875 (54.206) Prec@5 81.250 (83.294) Epoch: [66][8760/11272] Time 0.855 (0.777) Data 0.001 (0.002) Loss 1.8574 (1.7183) Prec@1 51.250 (54.207) Prec@5 78.125 (83.294) Epoch: [66][8770/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 2.1556 (1.7182) Prec@1 45.625 (54.209) Prec@5 74.375 (83.294) Epoch: [66][8780/11272] Time 0.724 (0.777) Data 0.002 (0.002) Loss 1.8288 (1.7182) Prec@1 50.000 (54.209) Prec@5 84.375 (83.295) Epoch: [66][8790/11272] Time 0.790 (0.777) Data 0.001 (0.002) Loss 1.5918 (1.7183) Prec@1 56.875 (54.208) Prec@5 87.500 (83.295) Epoch: [66][8800/11272] Time 0.842 (0.777) Data 0.002 (0.002) Loss 1.5516 (1.7182) Prec@1 57.500 (54.209) Prec@5 85.625 (83.295) Epoch: [66][8810/11272] Time 0.745 (0.777) Data 0.002 (0.002) Loss 1.8250 (1.7182) Prec@1 49.375 (54.211) Prec@5 83.125 (83.294) Epoch: [66][8820/11272] Time 0.919 (0.777) Data 0.002 (0.002) Loss 1.6995 (1.7182) Prec@1 52.500 (54.211) Prec@5 82.500 (83.293) Epoch: [66][8830/11272] Time 0.854 (0.777) Data 0.001 (0.002) Loss 1.5416 (1.7183) Prec@1 59.375 (54.210) Prec@5 84.375 (83.292) Epoch: [66][8840/11272] Time 0.745 (0.777) Data 0.001 (0.002) Loss 1.7708 (1.7183) Prec@1 52.500 (54.208) Prec@5 81.875 (83.292) Epoch: [66][8850/11272] Time 0.705 (0.777) Data 0.001 (0.002) Loss 1.9706 (1.7183) Prec@1 46.875 (54.208) Prec@5 81.250 (83.292) Epoch: [66][8860/11272] Time 0.843 (0.777) Data 0.001 (0.002) Loss 2.0221 (1.7183) Prec@1 46.875 (54.207) Prec@5 78.125 (83.294) Epoch: [66][8870/11272] Time 0.828 (0.777) Data 0.002 (0.002) Loss 1.6514 (1.7183) Prec@1 51.875 (54.207) Prec@5 88.125 (83.295) Epoch: [66][8880/11272] Time 0.699 (0.777) Data 0.001 (0.002) Loss 1.7329 (1.7183) Prec@1 50.625 (54.206) Prec@5 85.625 (83.296) Epoch: [66][8890/11272] Time 0.749 (0.777) Data 0.002 (0.002) Loss 1.7838 (1.7184) Prec@1 53.125 (54.204) Prec@5 83.125 (83.297) Epoch: [66][8900/11272] Time 0.841 (0.777) Data 0.001 (0.002) Loss 1.7522 (1.7184) Prec@1 58.125 (54.206) Prec@5 80.000 (83.294) Epoch: [66][8910/11272] Time 0.842 (0.777) Data 0.002 (0.002) Loss 1.9318 (1.7184) Prec@1 50.625 (54.206) Prec@5 77.500 (83.294) Epoch: [66][8920/11272] Time 0.777 (0.777) Data 0.002 (0.002) Loss 1.8762 (1.7184) Prec@1 50.625 (54.207) Prec@5 80.000 (83.294) Epoch: [66][8930/11272] Time 0.746 (0.777) Data 0.002 (0.002) Loss 1.5926 (1.7185) Prec@1 52.500 (54.205) Prec@5 86.250 (83.293) Epoch: [66][8940/11272] Time 0.818 (0.777) Data 0.002 (0.002) Loss 1.5530 (1.7184) Prec@1 57.500 (54.207) Prec@5 84.375 (83.294) Epoch: [66][8950/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.7801 (1.7185) Prec@1 56.875 (54.207) Prec@5 80.625 (83.293) Epoch: [66][8960/11272] Time 0.718 (0.777) Data 0.002 (0.002) Loss 1.5819 (1.7185) Prec@1 52.500 (54.208) Prec@5 86.875 (83.293) Epoch: [66][8970/11272] Time 0.875 (0.777) Data 0.002 (0.002) Loss 1.7202 (1.7185) Prec@1 49.375 (54.205) Prec@5 83.750 (83.292) Epoch: [66][8980/11272] Time 0.854 (0.777) Data 0.002 (0.002) Loss 1.5728 (1.7185) Prec@1 60.000 (54.205) Prec@5 86.250 (83.292) Epoch: [66][8990/11272] Time 0.708 (0.777) Data 0.002 (0.002) Loss 1.5418 (1.7185) Prec@1 56.875 (54.205) Prec@5 86.875 (83.293) Epoch: [66][9000/11272] Time 0.716 (0.777) Data 0.002 (0.002) Loss 1.6792 (1.7185) Prec@1 56.875 (54.205) Prec@5 85.000 (83.292) Epoch: [66][9010/11272] Time 0.806 (0.777) Data 0.002 (0.002) Loss 1.6238 (1.7185) Prec@1 55.000 (54.206) Prec@5 85.000 (83.292) Epoch: [66][9020/11272] Time 0.814 (0.777) Data 0.001 (0.002) Loss 2.0531 (1.7186) Prec@1 44.375 (54.203) Prec@5 76.875 (83.292) Epoch: [66][9030/11272] Time 0.743 (0.777) Data 0.002 (0.002) Loss 1.6428 (1.7185) Prec@1 59.375 (54.208) Prec@5 87.500 (83.293) Epoch: [66][9040/11272] Time 0.727 (0.777) Data 0.002 (0.002) Loss 1.6424 (1.7185) Prec@1 53.125 (54.207) Prec@5 81.875 (83.293) Epoch: [66][9050/11272] Time 0.883 (0.777) Data 0.001 (0.002) Loss 1.6385 (1.7184) Prec@1 58.125 (54.206) Prec@5 80.625 (83.294) Epoch: [66][9060/11272] Time 0.811 (0.777) Data 0.001 (0.002) Loss 1.7776 (1.7183) Prec@1 49.375 (54.207) Prec@5 81.875 (83.296) Epoch: [66][9070/11272] Time 0.711 (0.777) Data 0.002 (0.002) Loss 1.7810 (1.7184) Prec@1 50.625 (54.206) Prec@5 85.625 (83.296) Epoch: [66][9080/11272] Time 0.833 (0.777) Data 0.002 (0.002) Loss 1.5798 (1.7184) Prec@1 59.375 (54.206) Prec@5 83.750 (83.296) Epoch: [66][9090/11272] Time 0.832 (0.777) Data 0.001 (0.002) Loss 1.6564 (1.7184) Prec@1 55.625 (54.206) Prec@5 83.750 (83.297) Epoch: [66][9100/11272] Time 0.737 (0.777) Data 0.001 (0.002) Loss 1.6345 (1.7184) Prec@1 55.000 (54.206) Prec@5 85.000 (83.297) Epoch: [66][9110/11272] Time 0.748 (0.777) Data 0.001 (0.002) Loss 1.7050 (1.7185) Prec@1 51.875 (54.204) Prec@5 82.500 (83.295) Epoch: [66][9120/11272] Time 0.870 (0.777) Data 0.002 (0.002) Loss 1.8185 (1.7186) Prec@1 55.625 (54.201) Prec@5 81.250 (83.292) Epoch: [66][9130/11272] Time 0.853 (0.777) Data 0.002 (0.002) Loss 1.7027 (1.7185) Prec@1 51.250 (54.203) Prec@5 83.750 (83.293) Epoch: [66][9140/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6240 (1.7185) Prec@1 52.500 (54.204) Prec@5 86.875 (83.293) Epoch: [66][9150/11272] Time 0.751 (0.777) Data 0.001 (0.002) Loss 1.5582 (1.7186) Prec@1 56.875 (54.203) Prec@5 89.375 (83.293) Epoch: [66][9160/11272] Time 0.924 (0.777) Data 0.002 (0.002) Loss 1.4898 (1.7185) Prec@1 59.375 (54.203) Prec@5 86.875 (83.295) Epoch: [66][9170/11272] Time 0.800 (0.777) Data 0.001 (0.002) Loss 1.8011 (1.7185) Prec@1 48.125 (54.203) Prec@5 82.500 (83.297) Epoch: [66][9180/11272] Time 0.715 (0.777) Data 0.002 (0.002) Loss 1.8167 (1.7185) Prec@1 52.500 (54.202) Prec@5 80.625 (83.296) Epoch: [66][9190/11272] Time 0.710 (0.777) Data 0.001 (0.002) Loss 1.5282 (1.7186) Prec@1 60.000 (54.202) Prec@5 89.375 (83.296) Epoch: [66][9200/11272] Time 0.835 (0.777) Data 0.001 (0.002) Loss 1.7134 (1.7186) Prec@1 55.000 (54.201) Prec@5 85.000 (83.296) Epoch: [66][9210/11272] Time 0.718 (0.777) Data 0.004 (0.002) Loss 1.8858 (1.7186) Prec@1 50.625 (54.199) Prec@5 78.750 (83.294) Epoch: [66][9220/11272] Time 0.730 (0.777) Data 0.001 (0.002) Loss 1.5848 (1.7186) Prec@1 56.875 (54.199) Prec@5 86.250 (83.295) Epoch: [66][9230/11272] Time 0.837 (0.777) Data 0.002 (0.002) Loss 1.7556 (1.7186) Prec@1 53.125 (54.199) Prec@5 83.125 (83.295) Epoch: [66][9240/11272] Time 0.803 (0.777) Data 0.002 (0.002) Loss 1.8400 (1.7186) Prec@1 48.125 (54.198) Prec@5 78.750 (83.295) Epoch: [66][9250/11272] Time 0.743 (0.777) Data 0.002 (0.002) Loss 1.7736 (1.7186) Prec@1 55.000 (54.198) Prec@5 82.500 (83.296) Epoch: [66][9260/11272] Time 0.728 (0.778) Data 0.001 (0.002) Loss 1.7341 (1.7186) Prec@1 53.750 (54.198) Prec@5 82.500 (83.296) Epoch: [66][9270/11272] Time 0.852 (0.778) Data 0.002 (0.002) Loss 1.7669 (1.7186) Prec@1 50.625 (54.200) Prec@5 81.250 (83.296) Epoch: [66][9280/11272] Time 0.840 (0.778) Data 0.001 (0.002) Loss 1.7529 (1.7185) Prec@1 50.625 (54.200) Prec@5 84.375 (83.298) Epoch: [66][9290/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.6155 (1.7185) Prec@1 59.375 (54.201) Prec@5 84.375 (83.298) Epoch: [66][9300/11272] Time 0.746 (0.778) Data 0.001 (0.002) Loss 1.5976 (1.7185) Prec@1 62.500 (54.199) Prec@5 86.250 (83.298) Epoch: [66][9310/11272] Time 0.886 (0.778) Data 0.002 (0.002) Loss 1.5748 (1.7186) Prec@1 64.375 (54.198) Prec@5 83.125 (83.296) Epoch: [66][9320/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.8714 (1.7186) Prec@1 50.625 (54.199) Prec@5 81.250 (83.295) Epoch: [66][9330/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.7124 (1.7186) Prec@1 53.750 (54.199) Prec@5 78.750 (83.294) Epoch: [66][9340/11272] Time 0.828 (0.778) Data 0.002 (0.002) Loss 1.9696 (1.7186) Prec@1 49.375 (54.199) Prec@5 80.000 (83.294) Epoch: [66][9350/11272] Time 0.900 (0.778) Data 0.002 (0.002) Loss 1.6847 (1.7186) Prec@1 56.875 (54.201) Prec@5 81.875 (83.295) Epoch: [66][9360/11272] Time 0.760 (0.778) Data 0.002 (0.002) Loss 1.8946 (1.7186) Prec@1 49.375 (54.201) Prec@5 82.500 (83.294) Epoch: [66][9370/11272] Time 0.714 (0.778) Data 0.002 (0.002) Loss 1.6177 (1.7186) Prec@1 57.500 (54.201) Prec@5 83.750 (83.293) Epoch: [66][9380/11272] Time 0.855 (0.778) Data 0.001 (0.002) Loss 1.9415 (1.7186) Prec@1 47.500 (54.202) Prec@5 82.500 (83.294) Epoch: [66][9390/11272] Time 0.842 (0.778) Data 0.001 (0.002) Loss 1.4212 (1.7185) Prec@1 62.500 (54.203) Prec@5 90.625 (83.295) Epoch: [66][9400/11272] Time 0.738 (0.778) Data 0.002 (0.002) Loss 1.5481 (1.7185) Prec@1 56.250 (54.202) Prec@5 88.750 (83.295) Epoch: [66][9410/11272] Time 0.738 (0.778) Data 0.001 (0.002) Loss 1.8928 (1.7186) Prec@1 52.500 (54.200) Prec@5 83.750 (83.294) Epoch: [66][9420/11272] Time 0.854 (0.778) Data 0.001 (0.002) Loss 1.3390 (1.7186) Prec@1 65.000 (54.200) Prec@5 86.875 (83.293) Epoch: [66][9430/11272] Time 0.858 (0.778) Data 0.001 (0.002) Loss 1.8803 (1.7186) Prec@1 51.875 (54.200) Prec@5 82.500 (83.292) Epoch: [66][9440/11272] Time 0.716 (0.778) Data 0.001 (0.002) Loss 1.9433 (1.7186) Prec@1 44.375 (54.198) Prec@5 80.625 (83.292) Epoch: [66][9450/11272] Time 0.731 (0.778) Data 0.002 (0.002) Loss 1.6054 (1.7185) Prec@1 55.000 (54.198) Prec@5 87.500 (83.293) Epoch: [66][9460/11272] Time 0.811 (0.778) Data 0.001 (0.002) Loss 1.5265 (1.7185) Prec@1 56.250 (54.198) Prec@5 87.500 (83.293) Epoch: [66][9470/11272] Time 0.770 (0.778) Data 0.003 (0.002) Loss 1.8189 (1.7185) Prec@1 54.375 (54.198) Prec@5 80.000 (83.293) Epoch: [66][9480/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.6540 (1.7184) Prec@1 54.375 (54.198) Prec@5 84.375 (83.293) Epoch: [66][9490/11272] Time 0.888 (0.778) Data 0.002 (0.002) Loss 1.6659 (1.7185) Prec@1 51.875 (54.196) Prec@5 85.000 (83.292) Epoch: [66][9500/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.8448 (1.7185) Prec@1 50.625 (54.195) Prec@5 77.500 (83.292) Epoch: [66][9510/11272] Time 0.747 (0.778) Data 0.003 (0.002) Loss 1.6111 (1.7184) Prec@1 57.500 (54.198) Prec@5 86.250 (83.294) Epoch: [66][9520/11272] Time 0.696 (0.778) Data 0.002 (0.002) Loss 1.8374 (1.7185) Prec@1 51.250 (54.196) Prec@5 81.875 (83.295) Epoch: [66][9530/11272] Time 1.011 (0.778) Data 0.002 (0.002) Loss 1.5395 (1.7185) Prec@1 53.750 (54.194) Prec@5 83.750 (83.293) Epoch: [66][9540/11272] Time 0.849 (0.778) Data 0.002 (0.002) Loss 1.7296 (1.7185) Prec@1 53.750 (54.194) Prec@5 82.500 (83.292) Epoch: [66][9550/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.8380 (1.7185) Prec@1 51.250 (54.194) Prec@5 80.000 (83.292) Epoch: [66][9560/11272] Time 0.745 (0.778) Data 0.002 (0.002) Loss 1.5167 (1.7186) Prec@1 60.625 (54.194) Prec@5 86.875 (83.292) Epoch: [66][9570/11272] Time 0.847 (0.778) Data 0.002 (0.002) Loss 2.1019 (1.7186) Prec@1 47.500 (54.191) Prec@5 77.500 (83.291) Epoch: [66][9580/11272] Time 0.894 (0.778) Data 0.001 (0.002) Loss 1.5754 (1.7187) Prec@1 54.375 (54.190) Prec@5 88.750 (83.291) Epoch: [66][9590/11272] Time 0.730 (0.778) Data 0.002 (0.002) Loss 1.6139 (1.7187) Prec@1 53.125 (54.189) Prec@5 83.750 (83.291) Epoch: [66][9600/11272] Time 0.874 (0.778) Data 0.002 (0.002) Loss 1.8280 (1.7186) Prec@1 54.375 (54.190) Prec@5 81.875 (83.293) Epoch: [66][9610/11272] Time 0.846 (0.778) Data 0.002 (0.002) Loss 1.7603 (1.7187) Prec@1 55.000 (54.190) Prec@5 80.625 (83.291) Epoch: [66][9620/11272] Time 0.716 (0.778) Data 0.001 (0.002) Loss 1.9317 (1.7187) Prec@1 46.875 (54.187) Prec@5 76.875 (83.292) Epoch: [66][9630/11272] Time 0.737 (0.778) Data 0.001 (0.002) Loss 1.6006 (1.7188) Prec@1 55.625 (54.187) Prec@5 83.750 (83.291) Epoch: [66][9640/11272] Time 0.867 (0.778) Data 0.002 (0.002) Loss 1.5254 (1.7188) Prec@1 59.375 (54.186) Prec@5 86.250 (83.291) Epoch: [66][9650/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.7501 (1.7188) Prec@1 53.750 (54.186) Prec@5 81.875 (83.289) Epoch: [66][9660/11272] Time 0.693 (0.778) Data 0.001 (0.002) Loss 1.6311 (1.7188) Prec@1 54.375 (54.185) Prec@5 84.375 (83.289) Epoch: [66][9670/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.6434 (1.7188) Prec@1 53.125 (54.185) Prec@5 87.500 (83.289) Epoch: [66][9680/11272] Time 0.856 (0.778) Data 0.001 (0.002) Loss 1.8084 (1.7188) Prec@1 51.875 (54.185) Prec@5 81.875 (83.289) Epoch: [66][9690/11272] Time 0.823 (0.778) Data 0.002 (0.002) Loss 1.9611 (1.7189) Prec@1 49.375 (54.185) Prec@5 76.875 (83.288) Epoch: [66][9700/11272] Time 0.691 (0.778) Data 0.001 (0.002) Loss 1.8164 (1.7188) Prec@1 53.125 (54.187) Prec@5 81.875 (83.288) Epoch: [66][9710/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.8094 (1.7188) Prec@1 52.500 (54.187) Prec@5 80.000 (83.287) Epoch: [66][9720/11272] Time 0.848 (0.778) Data 0.002 (0.002) Loss 1.5624 (1.7189) Prec@1 62.500 (54.186) Prec@5 84.375 (83.286) Epoch: [66][9730/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.7194 (1.7189) Prec@1 51.250 (54.188) Prec@5 81.875 (83.286) Epoch: [66][9740/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.5760 (1.7189) Prec@1 53.750 (54.188) Prec@5 87.500 (83.286) Epoch: [66][9750/11272] Time 0.882 (0.778) Data 0.002 (0.002) Loss 1.7992 (1.7189) Prec@1 52.500 (54.187) Prec@5 79.375 (83.286) Epoch: [66][9760/11272] Time 0.855 (0.778) Data 0.001 (0.002) Loss 1.6003 (1.7189) Prec@1 55.625 (54.186) Prec@5 85.625 (83.285) Epoch: [66][9770/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.6694 (1.7189) Prec@1 55.000 (54.187) Prec@5 82.500 (83.285) Epoch: [66][9780/11272] Time 0.724 (0.778) Data 0.001 (0.002) Loss 1.9339 (1.7190) Prec@1 46.875 (54.186) Prec@5 81.875 (83.284) Epoch: [66][9790/11272] Time 0.859 (0.778) Data 0.001 (0.002) Loss 1.8078 (1.7190) Prec@1 52.500 (54.186) Prec@5 87.500 (83.283) Epoch: [66][9800/11272] Time 0.817 (0.778) Data 0.002 (0.002) Loss 1.7403 (1.7191) Prec@1 58.125 (54.185) Prec@5 80.625 (83.282) Epoch: [66][9810/11272] Time 0.723 (0.778) Data 0.001 (0.002) Loss 1.6380 (1.7191) Prec@1 57.500 (54.185) Prec@5 81.875 (83.282) Epoch: [66][9820/11272] Time 0.755 (0.778) Data 0.001 (0.002) Loss 1.7328 (1.7191) Prec@1 54.375 (54.184) Prec@5 85.625 (83.282) Epoch: [66][9830/11272] Time 0.847 (0.778) Data 0.002 (0.002) Loss 1.7933 (1.7191) Prec@1 51.875 (54.185) Prec@5 81.875 (83.281) Epoch: [66][9840/11272] Time 0.906 (0.778) Data 0.002 (0.002) Loss 1.9627 (1.7192) Prec@1 51.250 (54.184) Prec@5 78.750 (83.281) Epoch: [66][9850/11272] Time 0.729 (0.778) Data 0.002 (0.002) Loss 1.7798 (1.7192) Prec@1 57.500 (54.185) Prec@5 80.000 (83.281) Epoch: [66][9860/11272] Time 0.818 (0.778) Data 0.001 (0.002) Loss 1.6239 (1.7192) Prec@1 58.750 (54.184) Prec@5 85.000 (83.281) Epoch: [66][9870/11272] Time 0.850 (0.778) Data 0.001 (0.002) Loss 1.5549 (1.7192) Prec@1 53.750 (54.183) Prec@5 86.250 (83.281) Epoch: [66][9880/11272] Time 0.722 (0.778) Data 0.001 (0.002) Loss 1.8155 (1.7192) Prec@1 50.625 (54.183) Prec@5 83.750 (83.280) Epoch: [66][9890/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.5378 (1.7191) Prec@1 60.625 (54.185) Prec@5 86.250 (83.281) Epoch: [66][9900/11272] Time 0.871 (0.778) Data 0.001 (0.002) Loss 1.7244 (1.7191) Prec@1 52.500 (54.186) Prec@5 84.375 (83.280) Epoch: [66][9910/11272] Time 0.833 (0.779) Data 0.001 (0.002) Loss 1.6530 (1.7192) Prec@1 55.000 (54.185) Prec@5 83.125 (83.280) Epoch: [66][9920/11272] Time 0.736 (0.779) Data 0.001 (0.002) Loss 1.5746 (1.7192) Prec@1 56.875 (54.184) Prec@5 84.375 (83.279) Epoch: [66][9930/11272] Time 0.737 (0.779) Data 0.002 (0.002) Loss 1.9046 (1.7192) Prec@1 46.875 (54.183) Prec@5 81.250 (83.279) Epoch: [66][9940/11272] Time 0.899 (0.779) Data 0.002 (0.002) Loss 1.7635 (1.7192) Prec@1 55.000 (54.183) Prec@5 83.750 (83.278) Epoch: [66][9950/11272] Time 0.851 (0.779) Data 0.002 (0.002) Loss 1.7026 (1.7192) Prec@1 51.250 (54.182) Prec@5 83.125 (83.277) Epoch: [66][9960/11272] Time 0.741 (0.779) Data 0.002 (0.002) Loss 1.4092 (1.7192) Prec@1 63.125 (54.184) Prec@5 90.000 (83.278) Epoch: [66][9970/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.7992 (1.7192) Prec@1 53.750 (54.185) Prec@5 78.750 (83.277) Epoch: [66][9980/11272] Time 0.857 (0.779) Data 0.002 (0.002) Loss 1.6188 (1.7192) Prec@1 55.625 (54.184) Prec@5 85.000 (83.278) Epoch: [66][9990/11272] Time 0.843 (0.779) Data 0.001 (0.002) Loss 1.6999 (1.7192) Prec@1 53.750 (54.185) Prec@5 86.250 (83.278) Epoch: [66][10000/11272] Time 0.744 (0.779) Data 0.001 (0.002) Loss 1.8140 (1.7192) Prec@1 47.500 (54.185) Prec@5 82.500 (83.278) Epoch: [66][10010/11272] Time 0.861 (0.779) Data 0.002 (0.002) Loss 1.4712 (1.7192) Prec@1 57.500 (54.186) Prec@5 86.250 (83.279) Epoch: [66][10020/11272] Time 0.908 (0.779) Data 0.001 (0.002) Loss 2.2045 (1.7192) Prec@1 44.375 (54.186) Prec@5 75.625 (83.279) Epoch: [66][10030/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.6736 (1.7192) Prec@1 56.250 (54.184) Prec@5 85.000 (83.278) Epoch: [66][10040/11272] Time 0.750 (0.779) Data 0.001 (0.002) Loss 1.8004 (1.7193) Prec@1 50.000 (54.184) Prec@5 83.125 (83.277) Epoch: [66][10050/11272] Time 0.836 (0.779) Data 0.001 (0.002) Loss 1.7274 (1.7192) Prec@1 53.125 (54.186) Prec@5 83.750 (83.278) Epoch: [66][10060/11272] Time 0.850 (0.779) Data 0.001 (0.002) Loss 1.7864 (1.7192) Prec@1 51.250 (54.186) Prec@5 84.375 (83.278) Epoch: [66][10070/11272] Time 0.732 (0.779) Data 0.002 (0.002) Loss 1.4989 (1.7192) Prec@1 59.375 (54.187) Prec@5 86.875 (83.277) Epoch: [66][10080/11272] Time 0.736 (0.779) Data 0.002 (0.002) Loss 1.8452 (1.7192) Prec@1 49.375 (54.185) Prec@5 81.250 (83.278) Epoch: [66][10090/11272] Time 0.832 (0.779) Data 0.002 (0.002) Loss 1.5659 (1.7191) Prec@1 61.875 (54.188) Prec@5 85.625 (83.280) Epoch: [66][10100/11272] Time 0.888 (0.779) Data 0.002 (0.002) Loss 1.9221 (1.7192) Prec@1 50.625 (54.186) Prec@5 78.750 (83.279) Epoch: [66][10110/11272] Time 0.743 (0.779) Data 0.002 (0.002) Loss 1.6935 (1.7193) Prec@1 51.875 (54.184) Prec@5 83.125 (83.277) Epoch: [66][10120/11272] Time 0.722 (0.779) Data 0.002 (0.002) Loss 1.8876 (1.7193) Prec@1 53.750 (54.184) Prec@5 80.625 (83.278) Epoch: [66][10130/11272] Time 0.828 (0.779) Data 0.002 (0.002) Loss 1.7519 (1.7192) Prec@1 53.750 (54.186) Prec@5 85.625 (83.278) Epoch: [66][10140/11272] Time 0.757 (0.779) Data 0.003 (0.002) Loss 1.6700 (1.7192) Prec@1 53.750 (54.185) Prec@5 83.750 (83.278) Epoch: [66][10150/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.6310 (1.7193) Prec@1 53.750 (54.184) Prec@5 85.000 (83.278) Epoch: [66][10160/11272] Time 0.804 (0.779) Data 0.001 (0.002) Loss 1.7047 (1.7192) Prec@1 54.375 (54.185) Prec@5 83.125 (83.279) Epoch: [66][10170/11272] Time 0.798 (0.779) Data 0.002 (0.002) Loss 1.6341 (1.7192) Prec@1 55.000 (54.185) Prec@5 86.250 (83.279) Epoch: [66][10180/11272] Time 0.739 (0.779) Data 0.001 (0.002) Loss 1.6854 (1.7192) Prec@1 55.000 (54.185) Prec@5 87.500 (83.280) Epoch: [66][10190/11272] Time 0.745 (0.779) Data 0.001 (0.002) Loss 1.9667 (1.7192) Prec@1 49.375 (54.183) Prec@5 78.125 (83.279) Epoch: [66][10200/11272] Time 0.863 (0.779) Data 0.001 (0.002) Loss 1.6974 (1.7192) Prec@1 55.625 (54.182) Prec@5 84.375 (83.279) Epoch: [66][10210/11272] Time 0.819 (0.779) Data 0.001 (0.002) Loss 1.9218 (1.7193) Prec@1 44.375 (54.181) Prec@5 80.000 (83.278) Epoch: [66][10220/11272] Time 0.714 (0.779) Data 0.001 (0.002) Loss 1.6580 (1.7193) Prec@1 59.375 (54.181) Prec@5 86.875 (83.278) Epoch: [66][10230/11272] Time 0.715 (0.779) Data 0.002 (0.002) Loss 1.9653 (1.7193) Prec@1 51.250 (54.181) Prec@5 79.375 (83.278) Epoch: [66][10240/11272] Time 0.875 (0.779) Data 0.001 (0.002) Loss 1.5028 (1.7193) Prec@1 56.250 (54.180) Prec@5 88.125 (83.279) Epoch: [66][10250/11272] Time 0.842 (0.779) Data 0.001 (0.002) Loss 1.8868 (1.7194) Prec@1 50.625 (54.179) Prec@5 83.750 (83.278) Epoch: [66][10260/11272] Time 0.736 (0.779) Data 0.002 (0.002) Loss 1.6343 (1.7193) Prec@1 55.625 (54.180) Prec@5 85.000 (83.278) Epoch: [66][10270/11272] Time 0.853 (0.779) Data 0.002 (0.002) Loss 1.8436 (1.7193) Prec@1 50.000 (54.181) Prec@5 85.000 (83.280) Epoch: [66][10280/11272] Time 0.902 (0.779) Data 0.002 (0.002) Loss 2.0745 (1.7194) Prec@1 48.750 (54.180) Prec@5 73.750 (83.278) Epoch: [66][10290/11272] Time 0.720 (0.779) Data 0.002 (0.002) Loss 1.9548 (1.7195) Prec@1 49.375 (54.180) Prec@5 80.625 (83.277) Epoch: [66][10300/11272] Time 0.738 (0.779) Data 0.002 (0.002) Loss 1.7017 (1.7195) Prec@1 50.625 (54.179) Prec@5 83.125 (83.276) Epoch: [66][10310/11272] Time 0.836 (0.779) Data 0.001 (0.002) Loss 1.5535 (1.7194) Prec@1 57.500 (54.180) Prec@5 86.875 (83.276) Epoch: [66][10320/11272] Time 0.830 (0.779) Data 0.002 (0.002) Loss 1.7824 (1.7194) Prec@1 59.375 (54.181) Prec@5 83.125 (83.277) Epoch: [66][10330/11272] Time 0.723 (0.779) Data 0.001 (0.002) Loss 1.4481 (1.7194) Prec@1 60.625 (54.181) Prec@5 85.625 (83.276) Epoch: [66][10340/11272] Time 0.719 (0.779) Data 0.002 (0.002) Loss 1.6481 (1.7194) Prec@1 55.625 (54.180) Prec@5 84.375 (83.277) Epoch: [66][10350/11272] Time 0.908 (0.779) Data 0.001 (0.002) Loss 2.0370 (1.7194) Prec@1 45.625 (54.180) Prec@5 75.000 (83.275) Epoch: [66][10360/11272] Time 0.836 (0.779) Data 0.001 (0.002) Loss 1.7808 (1.7194) Prec@1 53.750 (54.180) Prec@5 84.375 (83.276) Epoch: [66][10370/11272] Time 0.744 (0.779) Data 0.001 (0.002) Loss 1.5612 (1.7196) Prec@1 54.375 (54.178) Prec@5 85.000 (83.273) Epoch: [66][10380/11272] Time 0.760 (0.779) Data 0.002 (0.002) Loss 1.7450 (1.7196) Prec@1 54.375 (54.177) Prec@5 83.750 (83.274) Epoch: [66][10390/11272] Time 0.827 (0.779) Data 0.001 (0.002) Loss 1.5374 (1.7195) Prec@1 60.000 (54.178) Prec@5 86.875 (83.275) Epoch: [66][10400/11272] Time 0.735 (0.779) Data 0.003 (0.002) Loss 1.7379 (1.7196) Prec@1 57.500 (54.178) Prec@5 85.000 (83.275) Epoch: [66][10410/11272] Time 0.701 (0.779) Data 0.002 (0.002) Loss 1.7438 (1.7196) Prec@1 56.250 (54.178) Prec@5 80.625 (83.273) Epoch: [66][10420/11272] Time 0.822 (0.779) Data 0.001 (0.002) Loss 1.5431 (1.7197) Prec@1 56.250 (54.177) Prec@5 85.000 (83.272) Epoch: [66][10430/11272] Time 0.843 (0.779) Data 0.001 (0.002) Loss 1.7742 (1.7197) Prec@1 53.750 (54.178) Prec@5 81.875 (83.271) Epoch: [66][10440/11272] Time 0.711 (0.779) Data 0.001 (0.002) Loss 1.6549 (1.7196) Prec@1 58.125 (54.178) Prec@5 88.750 (83.272) Epoch: [66][10450/11272] Time 0.741 (0.779) Data 0.001 (0.002) Loss 1.8380 (1.7197) Prec@1 51.250 (54.178) Prec@5 81.875 (83.273) Epoch: [66][10460/11272] Time 0.808 (0.779) Data 0.002 (0.002) Loss 1.5554 (1.7197) Prec@1 60.000 (54.179) Prec@5 86.250 (83.272) Epoch: [66][10470/11272] Time 0.897 (0.779) Data 0.002 (0.002) Loss 1.6618 (1.7196) Prec@1 54.375 (54.180) Prec@5 86.875 (83.273) Epoch: [66][10480/11272] Time 0.720 (0.779) Data 0.001 (0.002) Loss 1.6366 (1.7196) Prec@1 49.375 (54.180) Prec@5 85.625 (83.274) Epoch: [66][10490/11272] Time 0.720 (0.779) Data 0.001 (0.002) Loss 1.6463 (1.7196) Prec@1 53.750 (54.180) Prec@5 82.500 (83.274) Epoch: [66][10500/11272] Time 0.864 (0.779) Data 0.002 (0.002) Loss 1.8926 (1.7196) Prec@1 50.000 (54.180) Prec@5 80.000 (83.273) Epoch: [66][10510/11272] Time 0.813 (0.779) Data 0.001 (0.002) Loss 1.8961 (1.7196) Prec@1 51.250 (54.181) Prec@5 80.625 (83.274) Epoch: [66][10520/11272] Time 0.718 (0.779) Data 0.002 (0.002) Loss 1.8540 (1.7195) Prec@1 51.250 (54.182) Prec@5 78.125 (83.275) Epoch: [66][10530/11272] Time 0.847 (0.779) Data 0.001 (0.002) Loss 1.7962 (1.7195) Prec@1 52.500 (54.182) Prec@5 81.875 (83.276) Epoch: [66][10540/11272] Time 0.850 (0.779) Data 0.001 (0.002) Loss 1.5415 (1.7195) Prec@1 58.125 (54.182) Prec@5 87.500 (83.277) Epoch: [66][10550/11272] Time 0.704 (0.779) Data 0.002 (0.002) Loss 1.5776 (1.7195) Prec@1 58.125 (54.181) Prec@5 83.125 (83.276) Epoch: [66][10560/11272] Time 0.706 (0.779) Data 0.002 (0.002) Loss 1.6818 (1.7195) Prec@1 55.000 (54.181) Prec@5 83.125 (83.277) Epoch: [66][10570/11272] Time 0.866 (0.779) Data 0.002 (0.002) Loss 1.8256 (1.7194) Prec@1 56.250 (54.182) Prec@5 80.625 (83.278) Epoch: [66][10580/11272] Time 0.851 (0.779) Data 0.002 (0.002) Loss 1.9723 (1.7195) Prec@1 48.750 (54.181) Prec@5 78.750 (83.276) Epoch: [66][10590/11272] Time 0.755 (0.779) Data 0.002 (0.002) Loss 1.8450 (1.7195) Prec@1 53.125 (54.181) Prec@5 80.625 (83.277) Epoch: [66][10600/11272] Time 0.717 (0.779) Data 0.001 (0.002) Loss 1.8027 (1.7196) Prec@1 50.625 (54.179) Prec@5 82.500 (83.276) Epoch: [66][10610/11272] Time 0.860 (0.779) Data 0.002 (0.002) Loss 1.4554 (1.7195) Prec@1 59.375 (54.180) Prec@5 88.125 (83.277) Epoch: [66][10620/11272] Time 0.850 (0.779) Data 0.002 (0.002) Loss 1.5326 (1.7195) Prec@1 59.375 (54.181) Prec@5 83.125 (83.277) Epoch: [66][10630/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.7614 (1.7195) Prec@1 51.875 (54.181) Prec@5 80.625 (83.276) Epoch: [66][10640/11272] Time 0.738 (0.779) Data 0.002 (0.002) Loss 1.9185 (1.7195) Prec@1 49.375 (54.181) Prec@5 79.375 (83.276) Epoch: [66][10650/11272] Time 0.876 (0.779) Data 0.002 (0.002) Loss 1.8032 (1.7195) Prec@1 51.250 (54.179) Prec@5 79.375 (83.275) Epoch: [66][10660/11272] Time 0.824 (0.779) Data 0.002 (0.002) Loss 1.8674 (1.7196) Prec@1 52.500 (54.178) Prec@5 81.875 (83.275) Epoch: [66][10670/11272] Time 0.723 (0.779) Data 0.002 (0.002) Loss 1.8631 (1.7196) Prec@1 51.875 (54.178) Prec@5 81.250 (83.275) Epoch: [66][10680/11272] Time 0.852 (0.779) Data 0.002 (0.002) Loss 1.8007 (1.7196) Prec@1 46.875 (54.177) Prec@5 84.375 (83.275) Epoch: [66][10690/11272] Time 0.829 (0.779) Data 0.001 (0.002) Loss 1.6048 (1.7197) Prec@1 56.250 (54.177) Prec@5 85.000 (83.274) Epoch: [66][10700/11272] Time 0.744 (0.779) Data 0.001 (0.002) Loss 1.5293 (1.7196) Prec@1 58.750 (54.178) Prec@5 86.250 (83.274) Epoch: [66][10710/11272] Time 0.725 (0.779) Data 0.001 (0.002) Loss 1.6662 (1.7196) Prec@1 56.875 (54.179) Prec@5 81.875 (83.274) Epoch: [66][10720/11272] Time 0.834 (0.779) Data 0.002 (0.002) Loss 1.7767 (1.7196) Prec@1 50.625 (54.179) Prec@5 81.250 (83.274) Epoch: [66][10730/11272] Time 0.852 (0.779) Data 0.001 (0.002) Loss 1.4585 (1.7195) Prec@1 57.500 (54.180) Prec@5 85.000 (83.274) Epoch: [66][10740/11272] Time 0.722 (0.779) Data 0.002 (0.002) Loss 1.8296 (1.7195) Prec@1 52.500 (54.182) Prec@5 78.750 (83.275) Epoch: [66][10750/11272] Time 0.726 (0.779) Data 0.002 (0.002) Loss 1.8707 (1.7195) Prec@1 53.125 (54.181) Prec@5 82.500 (83.273) Epoch: [66][10760/11272] Time 0.876 (0.779) Data 0.002 (0.002) Loss 1.6786 (1.7195) Prec@1 53.750 (54.180) Prec@5 86.250 (83.273) Epoch: [66][10770/11272] Time 0.870 (0.780) Data 0.001 (0.002) Loss 1.9516 (1.7196) Prec@1 51.250 (54.179) Prec@5 81.250 (83.272) Epoch: [66][10780/11272] Time 0.736 (0.780) Data 0.002 (0.002) Loss 1.9051 (1.7197) Prec@1 50.625 (54.177) Prec@5 81.250 (83.272) Epoch: [66][10790/11272] Time 0.735 (0.780) Data 0.002 (0.002) Loss 1.7246 (1.7197) Prec@1 56.875 (54.177) Prec@5 83.750 (83.273) Epoch: [66][10800/11272] Time 0.886 (0.780) Data 0.001 (0.002) Loss 1.9164 (1.7198) Prec@1 52.500 (54.175) Prec@5 76.875 (83.271) Epoch: [66][10810/11272] Time 0.724 (0.780) Data 0.002 (0.002) Loss 1.7264 (1.7197) Prec@1 51.250 (54.176) Prec@5 83.125 (83.270) Epoch: [66][10820/11272] Time 0.716 (0.780) Data 0.001 (0.002) Loss 1.7513 (1.7198) Prec@1 53.125 (54.175) Prec@5 85.625 (83.271) Epoch: [66][10830/11272] Time 0.859 (0.780) Data 0.001 (0.002) Loss 1.5705 (1.7197) Prec@1 58.125 (54.177) Prec@5 83.750 (83.271) Epoch: [66][10840/11272] Time 0.832 (0.780) Data 0.002 (0.002) Loss 1.6876 (1.7197) Prec@1 51.875 (54.177) Prec@5 85.625 (83.271) Epoch: [66][10850/11272] Time 0.742 (0.780) Data 0.001 (0.002) Loss 1.8337 (1.7197) Prec@1 48.750 (54.177) Prec@5 78.125 (83.270) Epoch: [66][10860/11272] Time 0.733 (0.780) Data 0.002 (0.002) Loss 1.8545 (1.7198) Prec@1 48.750 (54.175) Prec@5 83.125 (83.270) Epoch: [66][10870/11272] Time 0.896 (0.780) Data 0.002 (0.002) Loss 1.6286 (1.7198) Prec@1 53.750 (54.173) Prec@5 85.000 (83.269) Epoch: [66][10880/11272] Time 0.865 (0.780) Data 0.001 (0.002) Loss 1.5905 (1.7198) Prec@1 56.250 (54.172) Prec@5 81.875 (83.268) Epoch: [66][10890/11272] Time 0.748 (0.780) Data 0.001 (0.002) Loss 1.6344 (1.7198) Prec@1 53.750 (54.171) Prec@5 85.000 (83.269) Epoch: [66][10900/11272] Time 0.733 (0.780) Data 0.001 (0.002) Loss 1.6102 (1.7198) Prec@1 54.375 (54.170) Prec@5 87.500 (83.269) Epoch: [66][10910/11272] Time 0.855 (0.780) Data 0.001 (0.002) Loss 1.5849 (1.7198) Prec@1 60.000 (54.171) Prec@5 85.625 (83.270) Epoch: [66][10920/11272] Time 0.843 (0.780) Data 0.002 (0.002) Loss 1.7897 (1.7198) Prec@1 46.250 (54.171) Prec@5 85.000 (83.271) Epoch: [66][10930/11272] Time 0.722 (0.780) Data 0.001 (0.002) Loss 1.6653 (1.7198) Prec@1 48.125 (54.171) Prec@5 88.125 (83.271) Epoch: [66][10940/11272] Time 0.855 (0.780) Data 0.002 (0.002) Loss 1.9455 (1.7198) Prec@1 51.875 (54.170) Prec@5 78.750 (83.270) Epoch: [66][10950/11272] Time 0.858 (0.780) Data 0.002 (0.002) Loss 1.6267 (1.7198) Prec@1 55.000 (54.171) Prec@5 86.250 (83.270) Epoch: [66][10960/11272] Time 0.729 (0.780) Data 0.001 (0.002) Loss 1.5173 (1.7198) Prec@1 58.125 (54.173) Prec@5 86.250 (83.271) Epoch: [66][10970/11272] Time 0.727 (0.780) Data 0.001 (0.002) Loss 1.6251 (1.7197) Prec@1 58.750 (54.175) Prec@5 83.750 (83.272) Epoch: [66][10980/11272] Time 0.861 (0.780) Data 0.002 (0.002) Loss 1.6817 (1.7197) Prec@1 56.875 (54.176) Prec@5 85.000 (83.272) Epoch: [66][10990/11272] Time 0.889 (0.780) Data 0.001 (0.002) Loss 1.7680 (1.7197) Prec@1 52.500 (54.177) Prec@5 79.375 (83.272) Epoch: [66][11000/11272] Time 0.711 (0.780) Data 0.001 (0.002) Loss 1.8346 (1.7197) Prec@1 51.875 (54.178) Prec@5 81.250 (83.273) Epoch: [66][11010/11272] Time 0.708 (0.780) Data 0.001 (0.002) Loss 2.0615 (1.7197) Prec@1 46.875 (54.178) Prec@5 76.250 (83.273) Epoch: [66][11020/11272] Time 0.883 (0.780) Data 0.002 (0.002) Loss 1.8929 (1.7198) Prec@1 48.750 (54.176) Prec@5 80.625 (83.270) Epoch: [66][11030/11272] Time 0.802 (0.780) Data 0.001 (0.002) Loss 1.6377 (1.7198) Prec@1 55.625 (54.177) Prec@5 84.375 (83.272) Epoch: [66][11040/11272] Time 0.709 (0.780) Data 0.002 (0.002) Loss 1.6798 (1.7198) Prec@1 55.000 (54.178) Prec@5 83.125 (83.271) Epoch: [66][11050/11272] Time 0.720 (0.780) Data 0.001 (0.002) Loss 1.5224 (1.7198) Prec@1 55.000 (54.177) Prec@5 89.375 (83.271) Epoch: [66][11060/11272] Time 0.868 (0.780) Data 0.002 (0.002) Loss 1.6197 (1.7198) Prec@1 54.375 (54.177) Prec@5 85.000 (83.272) Epoch: [66][11070/11272] Time 0.738 (0.780) Data 0.004 (0.002) Loss 1.6630 (1.7198) Prec@1 58.750 (54.177) Prec@5 83.125 (83.273) Epoch: [66][11080/11272] Time 0.764 (0.780) Data 0.002 (0.002) Loss 1.7049 (1.7197) Prec@1 58.750 (54.180) Prec@5 80.000 (83.274) Epoch: [66][11090/11272] Time 0.862 (0.780) Data 0.002 (0.002) Loss 1.7837 (1.7197) Prec@1 53.750 (54.179) Prec@5 81.250 (83.273) Epoch: [66][11100/11272] Time 0.838 (0.780) Data 0.002 (0.002) Loss 1.7669 (1.7197) Prec@1 55.625 (54.180) Prec@5 80.000 (83.273) Epoch: [66][11110/11272] Time 0.716 (0.780) Data 0.002 (0.002) Loss 1.6871 (1.7197) Prec@1 55.625 (54.181) Prec@5 86.250 (83.273) Epoch: [66][11120/11272] Time 0.736 (0.780) Data 0.002 (0.002) Loss 1.5755 (1.7197) Prec@1 58.125 (54.181) Prec@5 87.500 (83.274) Epoch: [66][11130/11272] Time 0.854 (0.780) Data 0.001 (0.002) Loss 1.4719 (1.7196) Prec@1 61.875 (54.182) Prec@5 84.375 (83.274) Epoch: [66][11140/11272] Time 0.854 (0.780) Data 0.002 (0.002) Loss 1.7619 (1.7196) Prec@1 53.750 (54.183) Prec@5 81.250 (83.275) Epoch: [66][11150/11272] Time 0.770 (0.780) Data 0.001 (0.002) Loss 1.5531 (1.7196) Prec@1 56.875 (54.183) Prec@5 84.375 (83.274) Epoch: [66][11160/11272] Time 0.718 (0.780) Data 0.002 (0.002) Loss 1.6975 (1.7196) Prec@1 54.375 (54.183) Prec@5 83.125 (83.273) Epoch: [66][11170/11272] Time 0.793 (0.780) Data 0.001 (0.002) Loss 1.7955 (1.7196) Prec@1 51.875 (54.183) Prec@5 84.375 (83.274) Epoch: [66][11180/11272] Time 0.848 (0.780) Data 0.001 (0.002) Loss 1.5980 (1.7196) Prec@1 56.875 (54.184) Prec@5 87.500 (83.275) Epoch: [66][11190/11272] Time 0.718 (0.780) Data 0.001 (0.002) Loss 1.8750 (1.7195) Prec@1 51.250 (54.185) Prec@5 82.500 (83.275) Epoch: [66][11200/11272] Time 0.881 (0.780) Data 0.002 (0.002) Loss 1.7177 (1.7195) Prec@1 53.125 (54.183) Prec@5 84.375 (83.276) Epoch: [66][11210/11272] Time 0.847 (0.780) Data 0.001 (0.002) Loss 1.5445 (1.7195) Prec@1 56.250 (54.183) Prec@5 84.375 (83.275) Epoch: [66][11220/11272] Time 0.743 (0.780) Data 0.002 (0.002) Loss 1.8792 (1.7195) Prec@1 47.500 (54.182) Prec@5 80.000 (83.275) Epoch: [66][11230/11272] Time 0.732 (0.780) Data 0.002 (0.002) Loss 1.6642 (1.7195) Prec@1 51.250 (54.182) Prec@5 87.500 (83.277) Epoch: [66][11240/11272] Time 0.820 (0.780) Data 0.002 (0.002) Loss 1.7659 (1.7195) Prec@1 54.375 (54.182) Prec@5 81.875 (83.276) Epoch: [66][11250/11272] Time 0.846 (0.780) Data 0.002 (0.002) Loss 1.8139 (1.7195) Prec@1 53.750 (54.181) Prec@5 83.750 (83.276) Epoch: [66][11260/11272] Time 0.736 (0.780) Data 0.001 (0.002) Loss 1.6288 (1.7195) Prec@1 55.000 (54.183) Prec@5 83.750 (83.275) Epoch: [66][11270/11272] Time 0.722 (0.780) Data 0.000 (0.002) Loss 1.8671 (1.7196) Prec@1 50.625 (54.182) Prec@5 80.625 (83.275) Test: [0/229] Time 2.677 (2.677) Loss 1.1389 (1.1389) Prec@1 65.625 (65.625) Prec@5 95.625 (95.625) Test: [10/229] Time 0.337 (0.649) Loss 1.0173 (1.5453) Prec@1 68.750 (58.182) Prec@5 96.250 (87.898) Test: [20/229] Time 0.734 (0.576) Loss 1.8463 (1.6165) Prec@1 51.875 (55.446) Prec@5 84.375 (87.351) Test: [30/229] Time 0.360 (0.535) Loss 1.9103 (1.5595) Prec@1 48.125 (57.641) Prec@5 85.625 (87.782) Test: [40/229] Time 0.634 (0.519) Loss 0.3615 (1.5554) Prec@1 93.750 (57.683) Prec@5 95.000 (87.744) Test: [50/229] Time 0.321 (0.509) Loss 2.2730 (1.6100) Prec@1 36.875 (56.471) Prec@5 80.000 (86.458) Test: [60/229] Time 0.411 (0.502) Loss 2.0626 (1.6044) Prec@1 40.625 (56.568) Prec@5 85.625 (86.496) Test: [70/229] Time 0.676 (0.503) Loss 1.2803 (1.6146) Prec@1 68.750 (56.505) Prec@5 85.625 (86.329) Test: [80/229] Time 0.338 (0.502) Loss 1.9667 (1.6340) Prec@1 39.375 (55.640) Prec@5 87.500 (86.327) Test: [90/229] Time 0.885 (0.502) Loss 1.1880 (1.6446) Prec@1 73.125 (55.529) Prec@5 88.125 (86.291) Test: [100/229] Time 0.322 (0.496) Loss 2.0423 (1.6392) Prec@1 46.875 (55.823) Prec@5 84.375 (86.287) Test: [110/229] Time 0.748 (0.498) Loss 1.2231 (1.6181) Prec@1 68.750 (56.284) Prec@5 90.000 (86.503) Test: [120/229] Time 0.350 (0.495) Loss 2.7207 (1.6371) Prec@1 32.500 (55.744) Prec@5 78.750 (86.286) Test: [130/229] Time 0.529 (0.494) Loss 1.1511 (1.6181) Prec@1 62.500 (56.116) Prec@5 94.375 (86.484) Test: [140/229] Time 0.408 (0.492) Loss 1.8356 (1.6318) Prec@1 51.250 (55.718) Prec@5 85.625 (86.383) Test: [150/229] Time 0.531 (0.492) Loss 1.1022 (1.6467) Prec@1 76.250 (55.339) Prec@5 88.750 (86.209) Test: [160/229] Time 0.527 (0.491) Loss 1.6710 (1.6497) Prec@1 56.875 (55.217) Prec@5 85.000 (86.145) Test: [170/229] Time 0.343 (0.489) Loss 1.8058 (1.6618) Prec@1 51.250 (54.751) Prec@5 86.250 (86.045) Test: [180/229] Time 0.585 (0.489) Loss 2.4568 (1.6682) Prec@1 36.875 (54.679) Prec@5 66.875 (85.822) Test: [190/229] Time 0.365 (0.488) Loss 1.2072 (1.6571) Prec@1 67.500 (55.023) Prec@5 93.125 (85.923) Test: [200/229] Time 0.453 (0.487) Loss 1.6911 (1.6484) Prec@1 51.250 (55.103) Prec@5 85.000 (86.098) Test: [210/229] Time 0.431 (0.488) Loss 1.0550 (1.6394) Prec@1 66.875 (55.358) Prec@5 94.375 (86.206) Test: [220/229] Time 0.325 (0.487) Loss 1.4274 (1.6298) Prec@1 61.875 (55.710) Prec@5 90.625 (86.247) * Prec@1 55.998 Prec@5 86.286 Epoch: [67][0/11272] Time 4.358 (4.358) Data 3.522 (3.522) Loss 1.7687 (1.7687) Prec@1 53.750 (53.750) Prec@5 82.500 (82.500) Epoch: [67][10/11272] Time 0.837 (1.096) Data 0.001 (0.322) Loss 1.7146 (1.6451) Prec@1 58.750 (57.330) Prec@5 82.500 (84.716) Epoch: [67][20/11272] Time 0.830 (0.943) Data 0.001 (0.169) Loss 1.7936 (1.6706) Prec@1 47.500 (55.595) Prec@5 80.000 (84.256) Epoch: [67][30/11272] Time 0.784 (0.886) Data 0.001 (0.115) Loss 1.8694 (1.6915) Prec@1 53.125 (55.202) Prec@5 82.500 (83.750) Epoch: [67][40/11272] Time 0.713 (0.861) Data 0.001 (0.087) Loss 1.8811 (1.6884) Prec@1 50.000 (55.320) Prec@5 78.750 (83.826) Epoch: [67][50/11272] Time 0.829 (0.848) Data 0.001 (0.071) Loss 1.8142 (1.6872) Prec@1 53.125 (55.368) Prec@5 78.125 (83.762) Epoch: [67][60/11272] Time 0.810 (0.833) Data 0.001 (0.059) Loss 1.7764 (1.6937) Prec@1 54.375 (55.010) Prec@5 80.000 (83.689) Epoch: [67][70/11272] Time 0.709 (0.823) Data 0.001 (0.051) Loss 1.6612 (1.6957) Prec@1 53.125 (55.009) Prec@5 85.625 (83.618) Epoch: [67][80/11272] Time 0.710 (0.816) Data 0.001 (0.045) Loss 1.4743 (1.6985) Prec@1 60.000 (54.884) Prec@5 90.625 (83.688) Epoch: [67][90/11272] Time 0.816 (0.812) Data 0.001 (0.040) Loss 1.6737 (1.6906) Prec@1 58.750 (55.206) Prec@5 78.750 (83.702) Epoch: [67][100/11272] Time 0.809 (0.808) Data 0.001 (0.036) Loss 1.7292 (1.6966) Prec@1 58.125 (55.136) Prec@5 84.375 (83.700) Epoch: [67][110/11272] Time 0.739 (0.804) Data 0.001 (0.033) Loss 1.5872 (1.6923) Prec@1 57.500 (55.107) Prec@5 85.625 (83.801) Epoch: [67][120/11272] Time 0.738 (0.802) Data 0.001 (0.031) Loss 1.8054 (1.6905) Prec@1 52.500 (55.150) Prec@5 81.250 (83.802) Epoch: [67][130/11272] Time 0.814 (0.799) Data 0.001 (0.028) Loss 1.7145 (1.6937) Prec@1 55.625 (55.043) Prec@5 85.625 (83.726) Epoch: [67][140/11272] Time 0.713 (0.797) Data 0.001 (0.026) Loss 1.6888 (1.6908) Prec@1 53.750 (55.013) Prec@5 84.375 (83.794) Epoch: [67][150/11272] Time 0.733 (0.796) Data 0.001 (0.025) Loss 1.6797 (1.6873) Prec@1 57.500 (55.099) Prec@5 81.875 (83.796) Epoch: [67][160/11272] Time 0.860 (0.796) Data 0.001 (0.023) Loss 1.7128 (1.6895) Prec@1 55.000 (55.019) Prec@5 80.625 (83.746) Epoch: [67][170/11272] Time 0.840 (0.795) Data 0.002 (0.022) Loss 1.5908 (1.6911) Prec@1 53.750 (55.044) Prec@5 85.625 (83.702) Epoch: [67][180/11272] Time 0.699 (0.794) Data 0.001 (0.021) Loss 1.6197 (1.6914) Prec@1 58.750 (55.028) Prec@5 84.375 (83.657) Epoch: [67][190/11272] Time 0.726 (0.792) Data 0.001 (0.020) Loss 1.4685 (1.6896) Prec@1 58.125 (55.062) Prec@5 88.125 (83.688) Epoch: [67][200/11272] Time 0.841 (0.792) Data 0.001 (0.019) Loss 1.7312 (1.6901) Prec@1 53.750 (55.050) Prec@5 80.000 (83.688) Epoch: [67][210/11272] Time 0.866 (0.791) Data 0.002 (0.018) Loss 1.5130 (1.6895) Prec@1 58.750 (55.036) Prec@5 86.875 (83.658) Epoch: [67][220/11272] Time 0.711 (0.789) Data 0.001 (0.017) Loss 1.6873 (1.6937) Prec@1 57.500 (54.963) Prec@5 83.125 (83.566) Epoch: [67][230/11272] Time 0.730 (0.788) Data 0.001 (0.017) Loss 1.8549 (1.6939) Prec@1 49.375 (54.978) Prec@5 81.250 (83.552) Epoch: [67][240/11272] Time 0.814 (0.788) Data 0.002 (0.016) Loss 1.7611 (1.6977) Prec@1 52.500 (54.852) Prec@5 83.750 (83.501) Epoch: [67][250/11272] Time 0.821 (0.787) Data 0.002 (0.015) Loss 1.6822 (1.6961) Prec@1 52.500 (54.803) Prec@5 84.375 (83.546) Epoch: [67][260/11272] Time 0.716 (0.787) Data 0.001 (0.015) Loss 1.7156 (1.6983) Prec@1 52.500 (54.753) Prec@5 82.500 (83.499) Epoch: [67][270/11272] Time 0.864 (0.786) Data 0.001 (0.014) Loss 1.9544 (1.6974) Prec@1 49.375 (54.815) Prec@5 79.375 (83.476) Epoch: [67][280/11272] Time 0.817 (0.786) Data 0.001 (0.014) Loss 1.9271 (1.7001) Prec@1 51.875 (54.784) Prec@5 80.000 (83.441) Epoch: [67][290/11272] Time 0.725 (0.785) Data 0.001 (0.014) Loss 1.8388 (1.7004) Prec@1 51.250 (54.768) Prec@5 81.875 (83.451) Epoch: [67][300/11272] Time 0.749 (0.785) Data 0.001 (0.013) Loss 1.7311 (1.6994) Prec@1 54.375 (54.755) Prec@5 82.500 (83.490) Epoch: [67][310/11272] Time 0.822 (0.785) Data 0.001 (0.013) Loss 1.6392 (1.6995) Prec@1 54.375 (54.753) Prec@5 85.625 (83.507) Epoch: [67][320/11272] Time 0.808 (0.784) Data 0.001 (0.012) Loss 1.6993 (1.6981) Prec@1 57.500 (54.792) Prec@5 83.125 (83.553) Epoch: [67][330/11272] Time 0.717 (0.784) Data 0.001 (0.012) Loss 1.8247 (1.6982) Prec@1 55.000 (54.806) Prec@5 83.750 (83.539) Epoch: [67][340/11272] Time 0.738 (0.784) Data 0.002 (0.012) Loss 1.9126 (1.6991) Prec@1 49.375 (54.802) Prec@5 80.000 (83.536) Epoch: [67][350/11272] Time 0.838 (0.784) Data 0.001 (0.011) Loss 1.7831 (1.6986) Prec@1 54.375 (54.792) Prec@5 85.625 (83.592) Epoch: [67][360/11272] Time 0.797 (0.783) Data 0.003 (0.011) Loss 1.5193 (1.6984) Prec@1 60.625 (54.782) Prec@5 85.625 (83.566) Epoch: [67][370/11272] Time 0.729 (0.783) Data 0.001 (0.011) Loss 1.6958 (1.6998) Prec@1 53.750 (54.709) Prec@5 83.125 (83.544) Epoch: [67][380/11272] Time 0.711 (0.783) Data 0.001 (0.011) Loss 1.5085 (1.7010) Prec@1 61.250 (54.677) Prec@5 87.500 (83.535) Epoch: [67][390/11272] Time 0.802 (0.782) Data 0.001 (0.010) Loss 1.5318 (1.7012) Prec@1 56.250 (54.655) Prec@5 83.125 (83.504) Epoch: [67][400/11272] Time 0.714 (0.782) Data 0.003 (0.010) Loss 1.4500 (1.7023) Prec@1 59.375 (54.607) Prec@5 89.375 (83.494) Epoch: [67][410/11272] Time 0.796 (0.782) Data 0.002 (0.010) Loss 1.4776 (1.7013) Prec@1 58.750 (54.621) Prec@5 85.000 (83.498) Epoch: [67][420/11272] Time 0.832 (0.782) Data 0.001 (0.010) Loss 1.8750 (1.7023) Prec@1 48.750 (54.630) Prec@5 80.000 (83.478) Epoch: [67][430/11272] Time 0.812 (0.782) Data 0.001 (0.010) Loss 1.7925 (1.7033) Prec@1 53.125 (54.635) Prec@5 83.125 (83.447) Epoch: [67][440/11272] Time 0.720 (0.782) Data 0.002 (0.009) Loss 1.8037 (1.7035) Prec@1 51.250 (54.607) Prec@5 80.625 (83.441) Epoch: [67][450/11272] Time 0.742 (0.782) Data 0.001 (0.009) Loss 1.9779 (1.7044) Prec@1 45.625 (54.569) Prec@5 78.125 (83.430) Epoch: [67][460/11272] Time 0.802 (0.781) Data 0.001 (0.009) Loss 1.5810 (1.7042) Prec@1 58.750 (54.619) Prec@5 86.875 (83.435) Epoch: [67][470/11272] Time 0.817 (0.781) Data 0.001 (0.009) Loss 1.5800 (1.7034) Prec@1 56.875 (54.631) Prec@5 85.000 (83.441) Epoch: [67][480/11272] Time 0.721 (0.781) Data 0.001 (0.009) Loss 1.7962 (1.7047) Prec@1 51.250 (54.600) Prec@5 81.875 (83.428) Epoch: [67][490/11272] Time 0.745 (0.781) Data 0.001 (0.009) Loss 1.7741 (1.7040) Prec@1 52.500 (54.603) Prec@5 82.500 (83.432) Epoch: [67][500/11272] Time 0.926 (0.781) Data 0.002 (0.008) Loss 1.6948 (1.7041) Prec@1 56.875 (54.627) Prec@5 83.750 (83.429) Epoch: [67][510/11272] Time 0.821 (0.781) Data 0.001 (0.008) Loss 1.5849 (1.7037) Prec@1 57.500 (54.655) Prec@5 87.500 (83.450) Epoch: [67][520/11272] Time 0.725 (0.781) Data 0.001 (0.008) Loss 1.4701 (1.7023) Prec@1 60.625 (54.681) Prec@5 88.750 (83.492) Epoch: [67][530/11272] Time 0.855 (0.781) Data 0.001 (0.008) Loss 1.7204 (1.7019) Prec@1 51.875 (54.690) Prec@5 81.875 (83.498) Epoch: [67][540/11272] Time 0.803 (0.780) Data 0.001 (0.008) Loss 1.9445 (1.7009) Prec@1 48.750 (54.692) Prec@5 81.250 (83.504) Epoch: [67][550/11272] Time 0.714 (0.780) Data 0.001 (0.008) Loss 1.7260 (1.7000) Prec@1 55.000 (54.725) Prec@5 82.500 (83.522) Epoch: [67][560/11272] Time 0.744 (0.780) Data 0.001 (0.008) Loss 1.6488 (1.6991) Prec@1 59.375 (54.750) Prec@5 81.875 (83.546) Epoch: [67][570/11272] Time 0.858 (0.780) Data 0.002 (0.008) Loss 1.5776 (1.6986) Prec@1 55.625 (54.756) Prec@5 86.875 (83.555) Epoch: [67][580/11272] Time 0.821 (0.780) Data 0.001 (0.008) Loss 1.5064 (1.6995) Prec@1 58.750 (54.722) Prec@5 83.750 (83.523) Epoch: [67][590/11272] Time 0.757 (0.780) Data 0.002 (0.007) Loss 1.6559 (1.6997) Prec@1 55.625 (54.716) Prec@5 86.250 (83.525) Epoch: [67][600/11272] Time 0.719 (0.780) Data 0.001 (0.007) Loss 1.8274 (1.7000) Prec@1 53.125 (54.699) Prec@5 78.750 (83.515) Epoch: [67][610/11272] Time 0.823 (0.780) Data 0.002 (0.007) Loss 1.9052 (1.7012) Prec@1 47.500 (54.694) Prec@5 81.250 (83.494) Epoch: [67][620/11272] Time 0.819 (0.780) Data 0.001 (0.007) Loss 1.5575 (1.6999) Prec@1 58.125 (54.724) Prec@5 85.625 (83.528) Epoch: [67][630/11272] Time 0.715 (0.780) Data 0.001 (0.007) Loss 2.0474 (1.7013) Prec@1 52.500 (54.729) Prec@5 78.125 (83.499) Epoch: [67][640/11272] Time 0.711 (0.780) Data 0.001 (0.007) Loss 1.6540 (1.7010) Prec@1 56.250 (54.728) Prec@5 85.000 (83.489) Epoch: [67][650/11272] Time 0.846 (0.780) Data 0.001 (0.007) Loss 1.5576 (1.7000) Prec@1 56.875 (54.749) Prec@5 85.000 (83.498) Epoch: [67][660/11272] Time 0.708 (0.780) Data 0.003 (0.007) Loss 1.6076 (1.7004) Prec@1 55.625 (54.739) Prec@5 86.875 (83.502) Epoch: [67][670/11272] Time 0.711 (0.780) Data 0.002 (0.007) Loss 1.5669 (1.7006) Prec@1 61.250 (54.727) Prec@5 80.000 (83.487) Epoch: [67][680/11272] Time 0.804 (0.780) Data 0.002 (0.007) Loss 1.6348 (1.7010) Prec@1 54.375 (54.715) Prec@5 86.875 (83.490) Epoch: [67][690/11272] Time 0.843 (0.780) Data 0.002 (0.007) Loss 1.8597 (1.7002) Prec@1 56.875 (54.746) Prec@5 81.250 (83.508) Epoch: [67][700/11272] Time 0.710 (0.779) Data 0.001 (0.007) Loss 1.6155 (1.6991) Prec@1 55.625 (54.774) Prec@5 86.250 (83.540) Epoch: [67][710/11272] Time 0.728 (0.779) Data 0.001 (0.006) Loss 1.9886 (1.6999) Prec@1 50.625 (54.767) Prec@5 79.375 (83.521) Epoch: [67][720/11272] Time 0.921 (0.780) Data 0.002 (0.006) Loss 1.6511 (1.6997) Prec@1 55.625 (54.788) Prec@5 85.625 (83.517) Epoch: [67][730/11272] Time 0.848 (0.780) Data 0.002 (0.006) Loss 1.5805 (1.6999) Prec@1 55.000 (54.800) Prec@5 85.625 (83.501) Epoch: [67][740/11272] Time 0.711 (0.779) Data 0.001 (0.006) Loss 1.7219 (1.7000) Prec@1 56.250 (54.804) Prec@5 86.250 (83.512) Epoch: [67][750/11272] Time 0.710 (0.779) Data 0.001 (0.006) Loss 1.6592 (1.6998) Prec@1 52.500 (54.811) Prec@5 83.750 (83.521) Epoch: [67][760/11272] Time 0.818 (0.779) Data 0.001 (0.006) Loss 1.7132 (1.6992) Prec@1 51.875 (54.822) Prec@5 81.875 (83.532) Epoch: [67][770/11272] Time 0.810 (0.779) Data 0.001 (0.006) Loss 1.5721 (1.6997) Prec@1 62.500 (54.813) Prec@5 84.375 (83.537) Epoch: [67][780/11272] Time 0.718 (0.779) Data 0.001 (0.006) Loss 1.5623 (1.6994) Prec@1 58.125 (54.806) Prec@5 84.375 (83.538) Epoch: [67][790/11272] Time 0.920 (0.779) Data 0.001 (0.006) Loss 1.6490 (1.6989) Prec@1 56.250 (54.802) Prec@5 84.375 (83.553) Epoch: [67][800/11272] Time 0.823 (0.779) Data 0.001 (0.006) Loss 1.9203 (1.6988) Prec@1 53.750 (54.810) Prec@5 78.750 (83.553) Epoch: [67][810/11272] Time 0.761 (0.779) Data 0.001 (0.006) Loss 1.6380 (1.6983) Prec@1 62.500 (54.832) Prec@5 81.875 (83.546) Epoch: [67][820/11272] Time 0.703 (0.779) Data 0.001 (0.006) Loss 1.6815 (1.6976) Prec@1 51.875 (54.846) Prec@5 87.500 (83.559) Epoch: [67][830/11272] Time 0.874 (0.779) Data 0.002 (0.006) Loss 1.7839 (1.6975) Prec@1 53.750 (54.847) Prec@5 81.250 (83.557) Epoch: [67][840/11272] Time 0.804 (0.779) Data 0.001 (0.006) Loss 1.6425 (1.6968) Prec@1 54.375 (54.863) Prec@5 83.125 (83.559) Epoch: [67][850/11272] Time 0.694 (0.779) Data 0.001 (0.006) Loss 1.7659 (1.6967) Prec@1 55.000 (54.864) Prec@5 80.000 (83.557) Epoch: [67][860/11272] Time 0.707 (0.779) Data 0.001 (0.006) Loss 1.5179 (1.6964) Prec@1 57.500 (54.870) Prec@5 85.000 (83.563) Epoch: [67][870/11272] Time 0.841 (0.779) Data 0.002 (0.006) Loss 1.6105 (1.6966) Prec@1 60.000 (54.876) Prec@5 83.125 (83.554) Epoch: [67][880/11272] Time 0.831 (0.779) Data 0.001 (0.005) Loss 1.3540 (1.6967) Prec@1 63.125 (54.878) Prec@5 88.750 (83.553) Epoch: [67][890/11272] Time 0.702 (0.779) Data 0.002 (0.005) Loss 1.8001 (1.6963) Prec@1 52.500 (54.889) Prec@5 80.000 (83.544) Epoch: [67][900/11272] Time 0.682 (0.778) Data 0.001 (0.005) Loss 1.7175 (1.6969) Prec@1 56.875 (54.874) Prec@5 85.000 (83.543) Epoch: [67][910/11272] Time 0.846 (0.779) Data 0.002 (0.005) Loss 1.6115 (1.6959) Prec@1 54.375 (54.888) Prec@5 84.375 (83.557) Epoch: [67][920/11272] Time 0.813 (0.778) Data 0.001 (0.005) Loss 1.5211 (1.6957) Prec@1 61.250 (54.882) Prec@5 88.750 (83.558) Epoch: [67][930/11272] Time 0.751 (0.778) Data 0.001 (0.005) Loss 1.9059 (1.6965) Prec@1 46.875 (54.858) Prec@5 79.375 (83.547) Epoch: [67][940/11272] Time 0.835 (0.778) Data 0.001 (0.005) Loss 1.5653 (1.6959) Prec@1 60.000 (54.876) Prec@5 85.625 (83.553) Epoch: [67][950/11272] Time 0.879 (0.779) Data 0.002 (0.005) Loss 1.4707 (1.6954) Prec@1 59.375 (54.892) Prec@5 89.375 (83.572) Epoch: [67][960/11272] Time 0.712 (0.778) Data 0.001 (0.005) Loss 1.4193 (1.6954) Prec@1 61.875 (54.900) Prec@5 89.375 (83.571) Epoch: [67][970/11272] Time 0.711 (0.778) Data 0.002 (0.005) Loss 1.6057 (1.6950) Prec@1 58.750 (54.902) Prec@5 85.625 (83.572) Epoch: [67][980/11272] Time 0.829 (0.778) Data 0.001 (0.005) Loss 1.3599 (1.6950) Prec@1 63.125 (54.902) Prec@5 91.250 (83.570) Epoch: [67][990/11272] Time 0.834 (0.778) Data 0.001 (0.005) Loss 1.5091 (1.6952) Prec@1 58.750 (54.875) Prec@5 84.375 (83.570) Epoch: [67][1000/11272] Time 0.737 (0.778) Data 0.001 (0.005) Loss 1.4698 (1.6945) Prec@1 59.375 (54.888) Prec@5 88.125 (83.580) Epoch: [67][1010/11272] Time 0.721 (0.778) Data 0.001 (0.005) Loss 1.5200 (1.6937) Prec@1 52.500 (54.891) Prec@5 86.250 (83.592) Epoch: [67][1020/11272] Time 0.811 (0.778) Data 0.001 (0.005) Loss 1.6122 (1.6941) Prec@1 56.875 (54.874) Prec@5 85.000 (83.591) Epoch: [67][1030/11272] Time 0.847 (0.778) Data 0.001 (0.005) Loss 1.6935 (1.6949) Prec@1 54.375 (54.841) Prec@5 84.375 (83.592) Epoch: [67][1040/11272] Time 0.689 (0.778) Data 0.001 (0.005) Loss 1.8059 (1.6951) Prec@1 50.000 (54.840) Prec@5 81.875 (83.586) Epoch: [67][1050/11272] Time 0.708 (0.778) Data 0.002 (0.005) Loss 1.8364 (1.6951) Prec@1 56.875 (54.857) Prec@5 80.000 (83.586) Epoch: [67][1060/11272] Time 0.819 (0.778) Data 0.001 (0.005) Loss 1.5759 (1.6950) Prec@1 52.500 (54.859) Prec@5 86.875 (83.590) Epoch: [67][1070/11272] Time 0.735 (0.778) Data 0.002 (0.005) Loss 1.5523 (1.6952) Prec@1 58.750 (54.848) Prec@5 89.375 (83.577) Epoch: [67][1080/11272] Time 0.705 (0.778) Data 0.001 (0.005) Loss 1.5833 (1.6949) Prec@1 58.125 (54.853) Prec@5 86.875 (83.570) Epoch: [67][1090/11272] Time 0.864 (0.778) Data 0.001 (0.005) Loss 1.8809 (1.6945) Prec@1 48.125 (54.851) Prec@5 81.250 (83.576) Epoch: [67][1100/11272] Time 0.790 (0.778) Data 0.001 (0.005) Loss 1.5662 (1.6942) Prec@1 56.875 (54.853) Prec@5 85.625 (83.585) Epoch: [67][1110/11272] Time 0.740 (0.778) Data 0.001 (0.005) Loss 1.6403 (1.6943) Prec@1 54.375 (54.848) Prec@5 87.500 (83.581) Epoch: [67][1120/11272] Time 0.715 (0.778) Data 0.001 (0.005) Loss 1.7377 (1.6947) Prec@1 48.750 (54.829) Prec@5 81.875 (83.577) Epoch: [67][1130/11272] Time 0.891 (0.778) Data 0.002 (0.005) Loss 1.6150 (1.6947) Prec@1 58.750 (54.834) Prec@5 84.375 (83.577) Epoch: [67][1140/11272] Time 0.828 (0.778) Data 0.001 (0.005) Loss 1.8598 (1.6945) Prec@1 52.500 (54.837) Prec@5 81.250 (83.582) Epoch: [67][1150/11272] Time 0.731 (0.778) Data 0.001 (0.005) Loss 1.5035 (1.6942) Prec@1 55.625 (54.843) Prec@5 88.125 (83.592) Epoch: [67][1160/11272] Time 0.702 (0.778) Data 0.001 (0.005) Loss 1.4322 (1.6938) Prec@1 63.125 (54.865) Prec@5 87.500 (83.601) Epoch: [67][1170/11272] Time 0.806 (0.778) Data 0.001 (0.004) Loss 1.8316 (1.6940) Prec@1 52.500 (54.864) Prec@5 83.750 (83.593) Epoch: [67][1180/11272] Time 0.812 (0.778) Data 0.001 (0.004) Loss 1.7052 (1.6939) Prec@1 57.500 (54.868) Prec@5 82.500 (83.603) Epoch: [67][1190/11272] Time 0.775 (0.778) Data 0.002 (0.004) Loss 1.5480 (1.6935) Prec@1 59.375 (54.880) Prec@5 85.625 (83.605) Epoch: [67][1200/11272] Time 0.869 (0.778) Data 0.001 (0.004) Loss 2.0773 (1.6943) Prec@1 49.375 (54.855) Prec@5 76.875 (83.592) Epoch: [67][1210/11272] Time 0.845 (0.778) Data 0.001 (0.004) Loss 1.4742 (1.6944) Prec@1 59.375 (54.856) Prec@5 84.375 (83.591) Epoch: [67][1220/11272] Time 0.751 (0.778) Data 0.002 (0.004) Loss 1.6211 (1.6942) Prec@1 55.625 (54.851) Prec@5 83.125 (83.592) Epoch: [67][1230/11272] Time 0.733 (0.778) Data 0.001 (0.004) Loss 1.7071 (1.6937) Prec@1 55.000 (54.870) Prec@5 83.125 (83.592) Epoch: [67][1240/11272] Time 0.827 (0.778) Data 0.001 (0.004) Loss 1.7841 (1.6937) Prec@1 53.750 (54.872) Prec@5 85.625 (83.593) Epoch: [67][1250/11272] Time 0.840 (0.778) Data 0.001 (0.004) Loss 1.6333 (1.6942) Prec@1 53.750 (54.859) Prec@5 84.375 (83.585) Epoch: [67][1260/11272] Time 0.712 (0.778) Data 0.001 (0.004) Loss 1.7021 (1.6943) Prec@1 55.625 (54.864) Prec@5 83.125 (83.578) Epoch: [67][1270/11272] Time 0.718 (0.778) Data 0.001 (0.004) Loss 1.5462 (1.6944) Prec@1 55.625 (54.866) Prec@5 88.750 (83.579) Epoch: [67][1280/11272] Time 0.820 (0.778) Data 0.001 (0.004) Loss 1.8522 (1.6947) Prec@1 50.000 (54.865) Prec@5 80.625 (83.564) Epoch: [67][1290/11272] Time 0.843 (0.778) Data 0.002 (0.004) Loss 1.9590 (1.6946) Prec@1 48.750 (54.868) Prec@5 81.875 (83.567) Epoch: [67][1300/11272] Time 0.719 (0.778) Data 0.002 (0.004) Loss 1.8640 (1.6952) Prec@1 51.250 (54.853) Prec@5 76.250 (83.551) Epoch: [67][1310/11272] Time 0.756 (0.778) Data 0.002 (0.004) Loss 1.5780 (1.6954) Prec@1 59.375 (54.850) Prec@5 83.750 (83.547) Epoch: [67][1320/11272] Time 0.834 (0.778) Data 0.001 (0.004) Loss 1.6719 (1.6948) Prec@1 55.000 (54.853) Prec@5 83.125 (83.560) Epoch: [67][1330/11272] Time 0.741 (0.778) Data 0.003 (0.004) Loss 1.6698 (1.6947) Prec@1 59.375 (54.849) Prec@5 84.375 (83.559) Epoch: [67][1340/11272] Time 0.716 (0.778) Data 0.001 (0.004) Loss 1.7263 (1.6948) Prec@1 53.750 (54.834) Prec@5 81.875 (83.553) Epoch: [67][1350/11272] Time 0.830 (0.778) Data 0.001 (0.004) Loss 2.0208 (1.6952) Prec@1 49.375 (54.833) Prec@5 77.500 (83.554) Epoch: [67][1360/11272] Time 0.821 (0.778) Data 0.002 (0.004) Loss 1.5662 (1.6952) Prec@1 56.875 (54.829) Prec@5 86.250 (83.555) Epoch: [67][1370/11272] Time 0.717 (0.778) Data 0.002 (0.004) Loss 1.5329 (1.6948) Prec@1 56.250 (54.843) Prec@5 86.250 (83.560) Epoch: [67][1380/11272] Time 0.713 (0.778) Data 0.001 (0.004) Loss 1.9680 (1.6948) Prec@1 49.375 (54.842) Prec@5 80.000 (83.571) Epoch: [67][1390/11272] Time 0.886 (0.778) Data 0.002 (0.004) Loss 1.6429 (1.6948) Prec@1 54.375 (54.838) Prec@5 85.625 (83.575) Epoch: [67][1400/11272] Time 0.811 (0.778) Data 0.001 (0.004) Loss 1.8417 (1.6951) Prec@1 53.750 (54.838) Prec@5 81.875 (83.570) Epoch: [67][1410/11272] Time 0.742 (0.778) Data 0.002 (0.004) Loss 1.6671 (1.6950) Prec@1 51.250 (54.838) Prec@5 83.750 (83.568) Epoch: [67][1420/11272] Time 0.709 (0.778) Data 0.001 (0.004) Loss 1.5941 (1.6947) Prec@1 59.375 (54.851) Prec@5 81.875 (83.568) Epoch: [67][1430/11272] Time 0.841 (0.778) Data 0.002 (0.004) Loss 1.7730 (1.6950) Prec@1 50.625 (54.843) Prec@5 84.375 (83.570) Epoch: [67][1440/11272] Time 0.832 (0.778) Data 0.001 (0.004) Loss 1.6310 (1.6950) Prec@1 48.125 (54.841) Prec@5 86.250 (83.571) Epoch: [67][1450/11272] Time 0.720 (0.778) Data 0.002 (0.004) Loss 1.8358 (1.6954) Prec@1 51.250 (54.835) Prec@5 82.500 (83.566) Epoch: [67][1460/11272] Time 0.870 (0.778) Data 0.001 (0.004) Loss 1.6970 (1.6957) Prec@1 55.625 (54.826) Prec@5 83.750 (83.560) Epoch: [67][1470/11272] Time 0.820 (0.778) Data 0.002 (0.004) Loss 1.7415 (1.6959) Prec@1 55.625 (54.816) Prec@5 80.625 (83.556) Epoch: [67][1480/11272] Time 0.770 (0.778) Data 0.002 (0.004) Loss 1.7807 (1.6957) Prec@1 48.125 (54.817) Prec@5 83.750 (83.561) Epoch: [67][1490/11272] Time 0.692 (0.778) Data 0.001 (0.004) Loss 1.8164 (1.6962) Prec@1 58.125 (54.812) Prec@5 79.375 (83.550) Epoch: [67][1500/11272] Time 0.825 (0.778) Data 0.001 (0.004) Loss 1.8525 (1.6960) Prec@1 53.750 (54.817) Prec@5 80.625 (83.555) Epoch: [67][1510/11272] Time 0.808 (0.778) Data 0.001 (0.004) Loss 1.9282 (1.6963) Prec@1 49.375 (54.808) Prec@5 77.500 (83.547) Epoch: [67][1520/11272] Time 0.709 (0.778) Data 0.001 (0.004) Loss 1.7867 (1.6961) Prec@1 51.875 (54.817) Prec@5 84.375 (83.557) Epoch: [67][1530/11272] Time 0.722 (0.777) Data 0.002 (0.004) Loss 1.5485 (1.6963) Prec@1 55.000 (54.807) Prec@5 85.000 (83.548) Epoch: [67][1540/11272] Time 0.816 (0.777) Data 0.001 (0.004) Loss 1.5635 (1.6963) Prec@1 57.500 (54.809) Prec@5 86.875 (83.543) Epoch: [67][1550/11272] Time 0.876 (0.777) Data 0.001 (0.004) Loss 1.7858 (1.6962) Prec@1 49.375 (54.821) Prec@5 83.750 (83.547) Epoch: [67][1560/11272] Time 0.750 (0.777) Data 0.001 (0.004) Loss 1.6841 (1.6961) Prec@1 53.750 (54.823) Prec@5 81.875 (83.548) Epoch: [67][1570/11272] Time 0.723 (0.777) Data 0.001 (0.004) Loss 1.6269 (1.6962) Prec@1 58.125 (54.827) Prec@5 85.625 (83.549) Epoch: [67][1580/11272] Time 0.819 (0.778) Data 0.001 (0.004) Loss 1.6248 (1.6966) Prec@1 55.000 (54.823) Prec@5 82.500 (83.541) Epoch: [67][1590/11272] Time 0.730 (0.777) Data 0.003 (0.004) Loss 1.5718 (1.6960) Prec@1 50.000 (54.832) Prec@5 85.000 (83.553) Epoch: [67][1600/11272] Time 0.728 (0.777) Data 0.001 (0.004) Loss 2.0115 (1.6964) Prec@1 48.750 (54.824) Prec@5 76.875 (83.548) Epoch: [67][1610/11272] Time 0.826 (0.777) Data 0.001 (0.004) Loss 1.5584 (1.6962) Prec@1 58.125 (54.825) Prec@5 83.750 (83.555) Epoch: [67][1620/11272] Time 0.805 (0.777) Data 0.001 (0.004) Loss 1.6242 (1.6962) Prec@1 57.500 (54.830) Prec@5 81.875 (83.551) Epoch: [67][1630/11272] Time 0.738 (0.777) Data 0.001 (0.004) Loss 1.6252 (1.6959) Prec@1 56.875 (54.833) Prec@5 86.250 (83.553) Epoch: [67][1640/11272] Time 0.715 (0.777) Data 0.001 (0.004) Loss 1.4672 (1.6959) Prec@1 65.000 (54.839) Prec@5 87.500 (83.551) Epoch: [67][1650/11272] Time 0.815 (0.777) Data 0.001 (0.004) Loss 1.6675 (1.6963) Prec@1 54.375 (54.836) Prec@5 84.375 (83.542) Epoch: [67][1660/11272] Time 0.844 (0.777) Data 0.002 (0.004) Loss 1.5082 (1.6960) Prec@1 56.875 (54.841) Prec@5 83.750 (83.544) Epoch: [67][1670/11272] Time 0.706 (0.777) Data 0.001 (0.004) Loss 1.6023 (1.6959) Prec@1 58.125 (54.843) Prec@5 85.000 (83.548) Epoch: [67][1680/11272] Time 0.702 (0.777) Data 0.001 (0.004) Loss 1.5815 (1.6960) Prec@1 57.500 (54.841) Prec@5 83.125 (83.547) Epoch: [67][1690/11272] Time 0.901 (0.777) Data 0.002 (0.004) Loss 1.7569 (1.6960) Prec@1 56.875 (54.840) Prec@5 80.000 (83.545) Epoch: [67][1700/11272] Time 0.809 (0.777) Data 0.001 (0.004) Loss 1.7578 (1.6962) Prec@1 51.250 (54.836) Prec@5 81.875 (83.545) Epoch: [67][1710/11272] Time 0.788 (0.777) Data 0.002 (0.004) Loss 1.5843 (1.6960) Prec@1 54.375 (54.847) Prec@5 88.750 (83.553) Epoch: [67][1720/11272] Time 0.773 (0.777) Data 0.001 (0.004) Loss 1.7214 (1.6959) Prec@1 56.250 (54.850) Prec@5 83.750 (83.559) Epoch: [67][1730/11272] Time 0.848 (0.777) Data 0.002 (0.004) Loss 1.7135 (1.6959) Prec@1 50.000 (54.844) Prec@5 88.750 (83.565) Epoch: [67][1740/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.5323 (1.6958) Prec@1 59.375 (54.849) Prec@5 83.750 (83.565) Epoch: [67][1750/11272] Time 0.725 (0.777) Data 0.001 (0.003) Loss 2.1307 (1.6963) Prec@1 45.625 (54.833) Prec@5 73.750 (83.555) Epoch: [67][1760/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.6196 (1.6964) Prec@1 55.625 (54.832) Prec@5 81.875 (83.554) Epoch: [67][1770/11272] Time 0.869 (0.777) Data 0.002 (0.003) Loss 1.5295 (1.6963) Prec@1 54.375 (54.824) Prec@5 85.625 (83.554) Epoch: [67][1780/11272] Time 0.719 (0.777) Data 0.001 (0.003) Loss 1.7695 (1.6961) Prec@1 51.250 (54.820) Prec@5 84.375 (83.560) Epoch: [67][1790/11272] Time 0.726 (0.777) Data 0.001 (0.003) Loss 1.5753 (1.6959) Prec@1 54.375 (54.827) Prec@5 85.000 (83.566) Epoch: [67][1800/11272] Time 0.828 (0.777) Data 0.001 (0.003) Loss 1.5944 (1.6960) Prec@1 57.500 (54.824) Prec@5 87.500 (83.564) Epoch: [67][1810/11272] Time 0.819 (0.777) Data 0.002 (0.003) Loss 1.5518 (1.6961) Prec@1 55.000 (54.822) Prec@5 85.000 (83.563) Epoch: [67][1820/11272] Time 0.710 (0.777) Data 0.001 (0.003) Loss 1.7798 (1.6962) Prec@1 48.750 (54.813) Prec@5 83.125 (83.566) Epoch: [67][1830/11272] Time 0.744 (0.777) Data 0.003 (0.003) Loss 1.7788 (1.6962) Prec@1 53.750 (54.818) Prec@5 83.125 (83.561) Epoch: [67][1840/11272] Time 0.868 (0.777) Data 0.002 (0.003) Loss 1.6329 (1.6960) Prec@1 56.875 (54.826) Prec@5 84.375 (83.570) Epoch: [67][1850/11272] Time 0.814 (0.777) Data 0.001 (0.003) Loss 1.6356 (1.6961) Prec@1 50.625 (54.817) Prec@5 86.250 (83.570) Epoch: [67][1860/11272] Time 0.721 (0.777) Data 0.001 (0.003) Loss 1.6737 (1.6960) Prec@1 53.750 (54.821) Prec@5 82.500 (83.570) Epoch: [67][1870/11272] Time 0.869 (0.777) Data 0.001 (0.003) Loss 1.7677 (1.6962) Prec@1 51.250 (54.819) Prec@5 81.875 (83.568) Epoch: [67][1880/11272] Time 0.782 (0.777) Data 0.001 (0.003) Loss 1.7794 (1.6967) Prec@1 53.125 (54.807) Prec@5 83.125 (83.559) Epoch: [67][1890/11272] Time 0.722 (0.777) Data 0.001 (0.003) Loss 1.7354 (1.6966) Prec@1 51.875 (54.805) Prec@5 82.500 (83.559) Epoch: [67][1900/11272] Time 0.720 (0.777) Data 0.001 (0.003) Loss 1.5654 (1.6969) Prec@1 53.750 (54.796) Prec@5 84.375 (83.558) Epoch: [67][1910/11272] Time 0.853 (0.777) Data 0.002 (0.003) Loss 2.0306 (1.6968) Prec@1 48.750 (54.802) Prec@5 78.750 (83.556) Epoch: [67][1920/11272] Time 0.805 (0.777) Data 0.001 (0.003) Loss 1.8155 (1.6966) Prec@1 49.375 (54.806) Prec@5 83.125 (83.561) Epoch: [67][1930/11272] Time 0.718 (0.777) Data 0.001 (0.003) Loss 1.9511 (1.6971) Prec@1 48.125 (54.804) Prec@5 78.125 (83.549) Epoch: [67][1940/11272] Time 0.720 (0.777) Data 0.001 (0.003) Loss 1.7167 (1.6972) Prec@1 54.375 (54.793) Prec@5 81.250 (83.552) Epoch: [67][1950/11272] Time 0.879 (0.777) Data 0.001 (0.003) Loss 1.9266 (1.6979) Prec@1 46.875 (54.784) Prec@5 79.375 (83.537) Epoch: [67][1960/11272] Time 0.828 (0.777) Data 0.001 (0.003) Loss 1.8434 (1.6981) Prec@1 46.875 (54.771) Prec@5 78.750 (83.532) Epoch: [67][1970/11272] Time 0.704 (0.777) Data 0.001 (0.003) Loss 1.6941 (1.6982) Prec@1 56.875 (54.775) Prec@5 81.250 (83.527) Epoch: [67][1980/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.6076 (1.6983) Prec@1 61.875 (54.775) Prec@5 85.000 (83.525) Epoch: [67][1990/11272] Time 0.799 (0.777) Data 0.001 (0.003) Loss 1.7145 (1.6983) Prec@1 55.000 (54.777) Prec@5 82.500 (83.522) Epoch: [67][2000/11272] Time 0.708 (0.777) Data 0.001 (0.003) Loss 1.8972 (1.6981) Prec@1 50.625 (54.779) Prec@5 76.875 (83.525) Epoch: [67][2010/11272] Time 0.717 (0.777) Data 0.001 (0.003) Loss 1.5463 (1.6979) Prec@1 56.875 (54.781) Prec@5 85.625 (83.527) Epoch: [67][2020/11272] Time 0.849 (0.777) Data 0.001 (0.003) Loss 1.8028 (1.6979) Prec@1 50.000 (54.771) Prec@5 81.875 (83.533) Epoch: [67][2030/11272] Time 0.836 (0.777) Data 0.002 (0.003) Loss 1.6516 (1.6982) Prec@1 52.500 (54.762) Prec@5 81.875 (83.525) Epoch: [67][2040/11272] Time 0.715 (0.777) Data 0.001 (0.003) Loss 1.6450 (1.6982) Prec@1 51.875 (54.757) Prec@5 83.750 (83.524) Epoch: [67][2050/11272] Time 0.745 (0.777) Data 0.002 (0.003) Loss 1.6926 (1.6980) Prec@1 53.125 (54.763) Prec@5 88.125 (83.533) Epoch: [67][2060/11272] Time 0.815 (0.777) Data 0.002 (0.003) Loss 1.4907 (1.6977) Prec@1 58.125 (54.771) Prec@5 87.500 (83.534) Epoch: [67][2070/11272] Time 0.884 (0.777) Data 0.002 (0.003) Loss 1.6684 (1.6979) Prec@1 53.750 (54.767) Prec@5 83.125 (83.532) Epoch: [67][2080/11272] Time 0.738 (0.777) Data 0.001 (0.003) Loss 1.4707 (1.6982) Prec@1 61.875 (54.760) Prec@5 88.125 (83.526) Epoch: [67][2090/11272] Time 0.725 (0.777) Data 0.002 (0.003) Loss 1.6112 (1.6984) Prec@1 54.375 (54.751) Prec@5 85.625 (83.522) Epoch: [67][2100/11272] Time 0.830 (0.777) Data 0.001 (0.003) Loss 1.7235 (1.6987) Prec@1 51.875 (54.746) Prec@5 83.750 (83.516) Epoch: [67][2110/11272] Time 0.814 (0.777) Data 0.001 (0.003) Loss 1.5534 (1.6985) Prec@1 60.000 (54.747) Prec@5 86.250 (83.518) Epoch: [67][2120/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.7751 (1.6986) Prec@1 54.375 (54.745) Prec@5 79.375 (83.515) Epoch: [67][2130/11272] Time 0.861 (0.777) Data 0.002 (0.003) Loss 1.5933 (1.6985) Prec@1 61.250 (54.752) Prec@5 84.375 (83.514) Epoch: [67][2140/11272] Time 0.815 (0.777) Data 0.001 (0.003) Loss 1.7479 (1.6985) Prec@1 51.875 (54.755) Prec@5 86.250 (83.509) Epoch: [67][2150/11272] Time 0.795 (0.777) Data 0.002 (0.003) Loss 1.8238 (1.6987) Prec@1 53.750 (54.755) Prec@5 81.875 (83.504) Epoch: [67][2160/11272] Time 0.750 (0.777) Data 0.001 (0.003) Loss 1.8194 (1.6988) Prec@1 54.375 (54.754) Prec@5 81.250 (83.502) Epoch: [67][2170/11272] Time 0.879 (0.777) Data 0.002 (0.003) Loss 1.6027 (1.6988) Prec@1 56.250 (54.759) Prec@5 87.500 (83.501) Epoch: [67][2180/11272] Time 0.801 (0.777) Data 0.001 (0.003) Loss 1.6001 (1.6990) Prec@1 57.500 (54.756) Prec@5 83.750 (83.498) Epoch: [67][2190/11272] Time 0.712 (0.777) Data 0.001 (0.003) Loss 1.5299 (1.6987) Prec@1 58.750 (54.765) Prec@5 88.125 (83.500) Epoch: [67][2200/11272] Time 0.732 (0.777) Data 0.002 (0.003) Loss 1.6209 (1.6988) Prec@1 58.750 (54.764) Prec@5 84.375 (83.498) Epoch: [67][2210/11272] Time 0.837 (0.777) Data 0.002 (0.003) Loss 1.6674 (1.6989) Prec@1 53.125 (54.759) Prec@5 81.250 (83.494) Epoch: [67][2220/11272] Time 0.809 (0.777) Data 0.001 (0.003) Loss 1.5023 (1.6988) Prec@1 59.375 (54.758) Prec@5 85.000 (83.494) Epoch: [67][2230/11272] Time 0.750 (0.777) Data 0.002 (0.003) Loss 1.7582 (1.6986) Prec@1 57.500 (54.768) Prec@5 80.000 (83.497) Epoch: [67][2240/11272] Time 0.711 (0.777) Data 0.002 (0.003) Loss 1.4379 (1.6989) Prec@1 55.625 (54.760) Prec@5 90.625 (83.494) Epoch: [67][2250/11272] Time 0.805 (0.777) Data 0.001 (0.003) Loss 1.8785 (1.6991) Prec@1 50.000 (54.751) Prec@5 79.375 (83.489) Epoch: [67][2260/11272] Time 0.709 (0.776) Data 0.003 (0.003) Loss 1.9372 (1.6990) Prec@1 46.875 (54.752) Prec@5 78.125 (83.489) Epoch: [67][2270/11272] Time 0.712 (0.777) Data 0.001 (0.003) Loss 1.5314 (1.6991) Prec@1 61.875 (54.754) Prec@5 85.000 (83.490) Epoch: [67][2280/11272] Time 0.818 (0.777) Data 0.001 (0.003) Loss 1.6350 (1.6991) Prec@1 55.625 (54.756) Prec@5 84.375 (83.490) Epoch: [67][2290/11272] Time 0.860 (0.777) Data 0.002 (0.003) Loss 1.6022 (1.6991) Prec@1 61.875 (54.761) Prec@5 83.750 (83.488) Epoch: [67][2300/11272] Time 0.706 (0.776) Data 0.001 (0.003) Loss 1.9461 (1.6992) Prec@1 46.875 (54.759) Prec@5 81.875 (83.488) Epoch: [67][2310/11272] Time 0.723 (0.776) Data 0.001 (0.003) Loss 1.5880 (1.6991) Prec@1 56.250 (54.755) Prec@5 84.375 (83.491) Epoch: [67][2320/11272] Time 0.791 (0.776) Data 0.001 (0.003) Loss 1.6982 (1.6992) Prec@1 58.750 (54.750) Prec@5 81.875 (83.490) Epoch: [67][2330/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.8030 (1.6995) Prec@1 53.125 (54.744) Prec@5 83.125 (83.483) Epoch: [67][2340/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 2.1359 (1.6997) Prec@1 45.000 (54.739) Prec@5 77.500 (83.481) Epoch: [67][2350/11272] Time 0.737 (0.776) Data 0.002 (0.003) Loss 2.0125 (1.6999) Prec@1 49.375 (54.729) Prec@5 76.250 (83.475) Epoch: [67][2360/11272] Time 0.839 (0.776) Data 0.001 (0.003) Loss 1.9143 (1.7000) Prec@1 52.500 (54.722) Prec@5 76.250 (83.476) Epoch: [67][2370/11272] Time 0.863 (0.776) Data 0.002 (0.003) Loss 1.5667 (1.6998) Prec@1 56.875 (54.729) Prec@5 81.875 (83.478) Epoch: [67][2380/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.8751 (1.7000) Prec@1 50.625 (54.721) Prec@5 77.500 (83.471) Epoch: [67][2390/11272] Time 0.879 (0.776) Data 0.001 (0.003) Loss 1.5350 (1.7001) Prec@1 61.250 (54.724) Prec@5 86.875 (83.475) Epoch: [67][2400/11272] Time 0.826 (0.776) Data 0.001 (0.003) Loss 1.8243 (1.7003) Prec@1 53.750 (54.718) Prec@5 83.125 (83.474) Epoch: [67][2410/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 2.0395 (1.7005) Prec@1 48.750 (54.709) Prec@5 75.625 (83.470) Epoch: [67][2420/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.8299 (1.7003) Prec@1 48.750 (54.712) Prec@5 82.500 (83.473) Epoch: [67][2430/11272] Time 0.852 (0.776) Data 0.002 (0.003) Loss 1.7049 (1.7002) Prec@1 55.000 (54.716) Prec@5 87.500 (83.477) Epoch: [67][2440/11272] Time 0.826 (0.776) Data 0.002 (0.003) Loss 1.7234 (1.7004) Prec@1 51.875 (54.713) Prec@5 81.250 (83.472) Epoch: [67][2450/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.7396 (1.7006) Prec@1 56.250 (54.705) Prec@5 81.250 (83.468) Epoch: [67][2460/11272] Time 0.706 (0.776) Data 0.001 (0.003) Loss 1.5841 (1.7004) Prec@1 50.625 (54.708) Prec@5 88.125 (83.471) Epoch: [67][2470/11272] Time 0.845 (0.776) Data 0.002 (0.003) Loss 1.6500 (1.7006) Prec@1 61.250 (54.699) Prec@5 82.500 (83.465) Epoch: [67][2480/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.6250 (1.7008) Prec@1 56.250 (54.694) Prec@5 86.875 (83.463) Epoch: [67][2490/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.6124 (1.7006) Prec@1 53.750 (54.691) Prec@5 86.250 (83.469) Epoch: [67][2500/11272] Time 0.740 (0.776) Data 0.001 (0.003) Loss 1.6363 (1.7004) Prec@1 53.125 (54.690) Prec@5 86.250 (83.473) Epoch: [67][2510/11272] Time 0.832 (0.776) Data 0.001 (0.003) Loss 1.4648 (1.7001) Prec@1 61.875 (54.698) Prec@5 89.375 (83.480) Epoch: [67][2520/11272] Time 0.750 (0.776) Data 0.003 (0.003) Loss 1.9134 (1.6999) Prec@1 48.125 (54.700) Prec@5 81.250 (83.483) Epoch: [67][2530/11272] Time 0.700 (0.776) Data 0.001 (0.003) Loss 1.4634 (1.6998) Prec@1 58.750 (54.699) Prec@5 90.625 (83.487) Epoch: [67][2540/11272] Time 0.856 (0.776) Data 0.001 (0.003) Loss 1.7888 (1.7000) Prec@1 56.250 (54.695) Prec@5 78.125 (83.484) Epoch: [67][2550/11272] Time 0.844 (0.776) Data 0.001 (0.003) Loss 1.4920 (1.6999) Prec@1 55.000 (54.695) Prec@5 89.375 (83.486) Epoch: [67][2560/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.8736 (1.7001) Prec@1 54.375 (54.693) Prec@5 80.000 (83.481) Epoch: [67][2570/11272] Time 0.715 (0.776) Data 0.002 (0.003) Loss 1.7251 (1.7003) Prec@1 51.875 (54.684) Prec@5 83.125 (83.476) Epoch: [67][2580/11272] Time 0.860 (0.776) Data 0.002 (0.003) Loss 1.4848 (1.7003) Prec@1 59.375 (54.682) Prec@5 88.125 (83.476) Epoch: [67][2590/11272] Time 0.838 (0.776) Data 0.002 (0.003) Loss 1.7885 (1.7002) Prec@1 55.625 (54.680) Prec@5 78.750 (83.480) Epoch: [67][2600/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 2.0102 (1.7005) Prec@1 44.375 (54.665) Prec@5 78.125 (83.477) Epoch: [67][2610/11272] Time 0.760 (0.776) Data 0.002 (0.003) Loss 1.6126 (1.7005) Prec@1 55.625 (54.665) Prec@5 85.000 (83.475) Epoch: [67][2620/11272] Time 0.824 (0.776) Data 0.001 (0.003) Loss 1.6699 (1.7003) Prec@1 51.250 (54.672) Prec@5 83.750 (83.480) Epoch: [67][2630/11272] Time 0.893 (0.776) Data 0.002 (0.003) Loss 1.5935 (1.7004) Prec@1 54.375 (54.675) Prec@5 82.500 (83.475) Epoch: [67][2640/11272] Time 0.765 (0.776) Data 0.002 (0.003) Loss 1.7440 (1.7004) Prec@1 54.375 (54.678) Prec@5 83.125 (83.478) Epoch: [67][2650/11272] Time 0.921 (0.776) Data 0.001 (0.003) Loss 1.7143 (1.7003) Prec@1 50.625 (54.675) Prec@5 86.250 (83.483) Epoch: [67][2660/11272] Time 0.820 (0.776) Data 0.001 (0.003) Loss 1.5765 (1.7002) Prec@1 56.875 (54.672) Prec@5 86.250 (83.485) Epoch: [67][2670/11272] Time 0.727 (0.776) Data 0.002 (0.003) Loss 1.6945 (1.7001) Prec@1 57.500 (54.680) Prec@5 83.750 (83.487) Epoch: [67][2680/11272] Time 0.780 (0.777) Data 0.002 (0.003) Loss 1.6780 (1.6999) Prec@1 59.375 (54.680) Prec@5 82.500 (83.494) Epoch: [67][2690/11272] Time 0.871 (0.777) Data 0.001 (0.003) Loss 1.8129 (1.7001) Prec@1 51.250 (54.677) Prec@5 81.250 (83.491) Epoch: [67][2700/11272] Time 0.902 (0.777) Data 0.002 (0.003) Loss 1.8466 (1.7005) Prec@1 48.125 (54.667) Prec@5 81.250 (83.484) Epoch: [67][2710/11272] Time 0.731 (0.777) Data 0.002 (0.003) Loss 1.9153 (1.7007) Prec@1 51.875 (54.666) Prec@5 78.125 (83.477) Epoch: [67][2720/11272] Time 0.715 (0.777) Data 0.001 (0.003) Loss 1.6309 (1.7006) Prec@1 59.375 (54.668) Prec@5 84.375 (83.480) Epoch: [67][2730/11272] Time 0.857 (0.777) Data 0.002 (0.003) Loss 1.8566 (1.7007) Prec@1 53.125 (54.665) Prec@5 82.500 (83.483) Epoch: [67][2740/11272] Time 0.863 (0.777) Data 0.002 (0.003) Loss 1.6826 (1.7005) Prec@1 53.750 (54.667) Prec@5 84.375 (83.483) Epoch: [67][2750/11272] Time 0.758 (0.777) Data 0.002 (0.003) Loss 1.5722 (1.7004) Prec@1 52.500 (54.666) Prec@5 85.625 (83.482) Epoch: [67][2760/11272] Time 0.717 (0.777) Data 0.001 (0.003) Loss 1.8167 (1.7005) Prec@1 57.500 (54.665) Prec@5 81.250 (83.481) Epoch: [67][2770/11272] Time 0.836 (0.777) Data 0.002 (0.003) Loss 1.6711 (1.7005) Prec@1 50.000 (54.658) Prec@5 86.875 (83.484) Epoch: [67][2780/11272] Time 0.867 (0.777) Data 0.002 (0.003) Loss 1.7804 (1.7005) Prec@1 55.625 (54.658) Prec@5 81.875 (83.486) Epoch: [67][2790/11272] Time 0.714 (0.777) Data 0.002 (0.003) Loss 1.8621 (1.7004) Prec@1 54.375 (54.655) Prec@5 76.250 (83.485) Epoch: [67][2800/11272] Time 0.826 (0.777) Data 0.002 (0.003) Loss 1.6152 (1.7004) Prec@1 55.625 (54.657) Prec@5 88.125 (83.483) Epoch: [67][2810/11272] Time 0.917 (0.777) Data 0.002 (0.003) Loss 1.9518 (1.7006) Prec@1 46.250 (54.646) Prec@5 81.875 (83.481) Epoch: [67][2820/11272] Time 0.720 (0.777) Data 0.001 (0.003) Loss 1.9662 (1.7007) Prec@1 48.750 (54.644) Prec@5 78.750 (83.483) Epoch: [67][2830/11272] Time 0.726 (0.777) Data 0.002 (0.003) Loss 1.7242 (1.7007) Prec@1 55.000 (54.645) Prec@5 81.875 (83.482) Epoch: [67][2840/11272] Time 0.810 (0.777) Data 0.001 (0.003) Loss 1.7109 (1.7009) Prec@1 54.375 (54.641) Prec@5 81.250 (83.477) Epoch: [67][2850/11272] Time 0.857 (0.777) Data 0.002 (0.003) Loss 1.4667 (1.7008) Prec@1 63.750 (54.640) Prec@5 85.625 (83.480) Epoch: [67][2860/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.7371 (1.7009) Prec@1 52.500 (54.641) Prec@5 81.875 (83.478) Epoch: [67][2870/11272] Time 0.722 (0.777) Data 0.002 (0.003) Loss 1.5889 (1.7010) Prec@1 56.250 (54.642) Prec@5 86.875 (83.476) Epoch: [67][2880/11272] Time 0.808 (0.777) Data 0.001 (0.003) Loss 1.7254 (1.7012) Prec@1 52.500 (54.636) Prec@5 83.750 (83.474) Epoch: [67][2890/11272] Time 0.818 (0.777) Data 0.002 (0.003) Loss 1.4804 (1.7012) Prec@1 60.625 (54.639) Prec@5 90.000 (83.475) Epoch: [67][2900/11272] Time 0.718 (0.777) Data 0.001 (0.003) Loss 1.5998 (1.7012) Prec@1 59.375 (54.641) Prec@5 84.375 (83.476) Epoch: [67][2910/11272] Time 0.750 (0.777) Data 0.002 (0.003) Loss 1.5561 (1.7011) Prec@1 57.500 (54.646) Prec@5 85.625 (83.477) Epoch: [67][2920/11272] Time 0.803 (0.777) Data 0.001 (0.003) Loss 1.9194 (1.7013) Prec@1 50.625 (54.641) Prec@5 83.125 (83.474) Epoch: [67][2930/11272] Time 0.801 (0.777) Data 0.001 (0.003) Loss 1.6738 (1.7014) Prec@1 57.500 (54.639) Prec@5 84.375 (83.474) Epoch: [67][2940/11272] Time 0.720 (0.777) Data 0.001 (0.003) Loss 1.6845 (1.7013) Prec@1 55.625 (54.641) Prec@5 84.375 (83.477) Epoch: [67][2950/11272] Time 0.864 (0.777) Data 0.002 (0.003) Loss 1.7111 (1.7017) Prec@1 52.500 (54.627) Prec@5 84.375 (83.472) Epoch: [67][2960/11272] Time 0.819 (0.777) Data 0.001 (0.003) Loss 1.9262 (1.7018) Prec@1 47.500 (54.630) Prec@5 80.000 (83.468) Epoch: [67][2970/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.5435 (1.7017) Prec@1 57.500 (54.629) Prec@5 84.375 (83.472) Epoch: [67][2980/11272] Time 0.709 (0.777) Data 0.001 (0.003) Loss 1.5863 (1.7016) Prec@1 58.125 (54.629) Prec@5 86.250 (83.474) Epoch: [67][2990/11272] Time 0.830 (0.777) Data 0.001 (0.003) Loss 1.9157 (1.7020) Prec@1 48.125 (54.618) Prec@5 79.375 (83.465) Epoch: [67][3000/11272] Time 0.830 (0.777) Data 0.001 (0.003) Loss 1.8803 (1.7020) Prec@1 46.875 (54.617) Prec@5 79.375 (83.463) Epoch: [67][3010/11272] Time 0.719 (0.777) Data 0.001 (0.003) Loss 1.7196 (1.7021) Prec@1 53.125 (54.613) Prec@5 83.125 (83.459) Epoch: [67][3020/11272] Time 0.723 (0.777) Data 0.001 (0.003) Loss 1.7131 (1.7020) Prec@1 53.125 (54.612) Prec@5 85.000 (83.459) Epoch: [67][3030/11272] Time 0.839 (0.777) Data 0.002 (0.003) Loss 1.8212 (1.7023) Prec@1 57.500 (54.610) Prec@5 80.625 (83.455) Epoch: [67][3040/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.8180 (1.7023) Prec@1 55.625 (54.606) Prec@5 83.125 (83.454) Epoch: [67][3050/11272] Time 0.753 (0.777) Data 0.002 (0.003) Loss 1.8168 (1.7024) Prec@1 53.125 (54.606) Prec@5 82.500 (83.452) Epoch: [67][3060/11272] Time 0.777 (0.777) Data 0.001 (0.003) Loss 1.7717 (1.7025) Prec@1 50.625 (54.603) Prec@5 86.250 (83.452) Epoch: [67][3070/11272] Time 0.846 (0.777) Data 0.001 (0.003) Loss 1.7801 (1.7026) Prec@1 54.375 (54.600) Prec@5 81.875 (83.452) Epoch: [67][3080/11272] Time 0.708 (0.777) Data 0.001 (0.003) Loss 1.6782 (1.7027) Prec@1 58.125 (54.602) Prec@5 85.625 (83.452) Epoch: [67][3090/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.6314 (1.7027) Prec@1 56.250 (54.603) Prec@5 85.000 (83.454) Epoch: [67][3100/11272] Time 0.824 (0.777) Data 0.001 (0.003) Loss 1.7154 (1.7028) Prec@1 55.625 (54.606) Prec@5 79.375 (83.451) Epoch: [67][3110/11272] Time 0.894 (0.777) Data 0.002 (0.003) Loss 1.7763 (1.7029) Prec@1 50.000 (54.600) Prec@5 81.875 (83.448) Epoch: [67][3120/11272] Time 0.693 (0.777) Data 0.001 (0.003) Loss 1.7662 (1.7029) Prec@1 51.250 (54.601) Prec@5 83.125 (83.450) Epoch: [67][3130/11272] Time 0.740 (0.777) Data 0.002 (0.003) Loss 1.6646 (1.7030) Prec@1 55.625 (54.600) Prec@5 83.125 (83.452) Epoch: [67][3140/11272] Time 0.825 (0.777) Data 0.001 (0.003) Loss 1.9491 (1.7031) Prec@1 46.250 (54.598) Prec@5 82.500 (83.449) Epoch: [67][3150/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.8745 (1.7033) Prec@1 49.375 (54.594) Prec@5 81.250 (83.447) Epoch: [67][3160/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.5639 (1.7031) Prec@1 58.750 (54.603) Prec@5 83.125 (83.451) Epoch: [67][3170/11272] Time 0.708 (0.777) Data 0.002 (0.003) Loss 1.8767 (1.7032) Prec@1 50.625 (54.601) Prec@5 83.750 (83.452) Epoch: [67][3180/11272] Time 0.803 (0.777) Data 0.001 (0.003) Loss 1.7089 (1.7035) Prec@1 51.875 (54.593) Prec@5 81.875 (83.449) Epoch: [67][3190/11272] Time 0.709 (0.777) Data 0.003 (0.003) Loss 1.7025 (1.7033) Prec@1 53.125 (54.600) Prec@5 83.750 (83.449) Epoch: [67][3200/11272] Time 0.706 (0.777) Data 0.001 (0.003) Loss 1.7549 (1.7032) Prec@1 58.125 (54.606) Prec@5 85.625 (83.455) Epoch: [67][3210/11272] Time 0.849 (0.777) Data 0.002 (0.003) Loss 1.9018 (1.7033) Prec@1 53.750 (54.604) Prec@5 79.375 (83.453) Epoch: [67][3220/11272] Time 0.818 (0.777) Data 0.001 (0.003) Loss 1.9019 (1.7034) Prec@1 49.375 (54.602) Prec@5 81.875 (83.450) Epoch: [67][3230/11272] Time 0.734 (0.777) Data 0.002 (0.003) Loss 1.6626 (1.7035) Prec@1 52.500 (54.604) Prec@5 88.125 (83.451) Epoch: [67][3240/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.7630 (1.7037) Prec@1 56.875 (54.601) Prec@5 81.875 (83.448) Epoch: [67][3250/11272] Time 0.846 (0.776) Data 0.002 (0.003) Loss 1.6323 (1.7035) Prec@1 58.750 (54.603) Prec@5 86.875 (83.449) Epoch: [67][3260/11272] Time 0.811 (0.777) Data 0.001 (0.003) Loss 1.5141 (1.7036) Prec@1 55.625 (54.598) Prec@5 86.875 (83.447) Epoch: [67][3270/11272] Time 0.720 (0.776) Data 0.002 (0.003) Loss 1.5915 (1.7036) Prec@1 58.125 (54.592) Prec@5 81.250 (83.447) Epoch: [67][3280/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.7638 (1.7034) Prec@1 51.875 (54.595) Prec@5 81.250 (83.451) Epoch: [67][3290/11272] Time 0.832 (0.776) Data 0.002 (0.003) Loss 1.8395 (1.7038) Prec@1 48.750 (54.588) Prec@5 81.875 (83.444) Epoch: [67][3300/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.5015 (1.7038) Prec@1 56.875 (54.586) Prec@5 88.125 (83.443) Epoch: [67][3310/11272] Time 0.728 (0.776) Data 0.002 (0.003) Loss 1.5715 (1.7035) Prec@1 57.500 (54.598) Prec@5 85.625 (83.448) Epoch: [67][3320/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.7751 (1.7036) Prec@1 56.875 (54.592) Prec@5 80.000 (83.448) Epoch: [67][3330/11272] Time 0.784 (0.776) Data 0.001 (0.003) Loss 1.8704 (1.7036) Prec@1 48.750 (54.587) Prec@5 83.750 (83.450) Epoch: [67][3340/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.6605 (1.7034) Prec@1 54.375 (54.590) Prec@5 83.750 (83.451) Epoch: [67][3350/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.8237 (1.7035) Prec@1 48.750 (54.585) Prec@5 80.000 (83.447) Epoch: [67][3360/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.6168 (1.7036) Prec@1 58.125 (54.586) Prec@5 85.625 (83.446) Epoch: [67][3370/11272] Time 0.844 (0.776) Data 0.001 (0.003) Loss 1.5442 (1.7036) Prec@1 65.625 (54.587) Prec@5 83.125 (83.444) Epoch: [67][3380/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.8203 (1.7035) Prec@1 50.000 (54.591) Prec@5 76.875 (83.441) Epoch: [67][3390/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.6842 (1.7036) Prec@1 53.750 (54.587) Prec@5 82.500 (83.441) Epoch: [67][3400/11272] Time 0.799 (0.776) Data 0.001 (0.002) Loss 1.8235 (1.7039) Prec@1 50.625 (54.582) Prec@5 81.875 (83.436) Epoch: [67][3410/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7593 (1.7037) Prec@1 52.500 (54.585) Prec@5 83.125 (83.441) Epoch: [67][3420/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.6950 (1.7037) Prec@1 57.500 (54.586) Prec@5 82.500 (83.443) Epoch: [67][3430/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.6118 (1.7035) Prec@1 53.125 (54.590) Prec@5 83.125 (83.445) Epoch: [67][3440/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 1.7884 (1.7037) Prec@1 51.875 (54.586) Prec@5 84.375 (83.444) Epoch: [67][3450/11272] Time 0.735 (0.776) Data 0.003 (0.002) Loss 1.5910 (1.7035) Prec@1 55.625 (54.590) Prec@5 87.500 (83.448) Epoch: [67][3460/11272] Time 0.702 (0.776) Data 0.001 (0.002) Loss 1.7299 (1.7035) Prec@1 52.500 (54.591) Prec@5 84.375 (83.448) Epoch: [67][3470/11272] Time 0.816 (0.776) Data 0.002 (0.002) Loss 1.8220 (1.7035) Prec@1 48.750 (54.591) Prec@5 83.125 (83.448) Epoch: [67][3480/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8688 (1.7035) Prec@1 47.500 (54.593) Prec@5 82.500 (83.448) Epoch: [67][3490/11272] Time 0.760 (0.776) Data 0.001 (0.002) Loss 1.7328 (1.7035) Prec@1 56.875 (54.593) Prec@5 83.125 (83.447) Epoch: [67][3500/11272] Time 0.676 (0.776) Data 0.001 (0.002) Loss 1.7044 (1.7036) Prec@1 56.875 (54.591) Prec@5 81.250 (83.442) Epoch: [67][3510/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.6351 (1.7037) Prec@1 57.500 (54.586) Prec@5 86.250 (83.442) Epoch: [67][3520/11272] Time 0.867 (0.776) Data 0.002 (0.002) Loss 1.6507 (1.7038) Prec@1 52.500 (54.582) Prec@5 87.500 (83.441) Epoch: [67][3530/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.7423 (1.7039) Prec@1 51.875 (54.581) Prec@5 83.750 (83.442) Epoch: [67][3540/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6625 (1.7039) Prec@1 45.625 (54.579) Prec@5 86.250 (83.443) Epoch: [67][3550/11272] Time 0.868 (0.776) Data 0.002 (0.002) Loss 1.7197 (1.7039) Prec@1 56.875 (54.584) Prec@5 80.000 (83.441) Epoch: [67][3560/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.5821 (1.7038) Prec@1 57.500 (54.588) Prec@5 89.375 (83.445) Epoch: [67][3570/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7530 (1.7038) Prec@1 55.625 (54.586) Prec@5 80.000 (83.444) Epoch: [67][3580/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.9116 (1.7038) Prec@1 48.125 (54.584) Prec@5 82.500 (83.444) Epoch: [67][3590/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6533 (1.7036) Prec@1 55.000 (54.588) Prec@5 83.750 (83.447) Epoch: [67][3600/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.8193 (1.7037) Prec@1 57.500 (54.581) Prec@5 81.250 (83.446) Epoch: [67][3610/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.7138 (1.7037) Prec@1 56.875 (54.584) Prec@5 80.625 (83.447) Epoch: [67][3620/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6278 (1.7037) Prec@1 58.750 (54.589) Prec@5 84.375 (83.449) Epoch: [67][3630/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.9391 (1.7038) Prec@1 50.625 (54.585) Prec@5 78.750 (83.450) Epoch: [67][3640/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.7084 (1.7037) Prec@1 55.625 (54.582) Prec@5 82.500 (83.452) Epoch: [67][3650/11272] Time 0.750 (0.776) Data 0.002 (0.002) Loss 1.8092 (1.7037) Prec@1 50.000 (54.582) Prec@5 80.625 (83.451) Epoch: [67][3660/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.8356 (1.7037) Prec@1 50.000 (54.581) Prec@5 81.250 (83.450) Epoch: [67][3670/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.5027 (1.7037) Prec@1 61.875 (54.583) Prec@5 86.250 (83.453) Epoch: [67][3680/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6480 (1.7036) Prec@1 56.250 (54.583) Prec@5 85.000 (83.456) Epoch: [67][3690/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.5010 (1.7038) Prec@1 58.750 (54.575) Prec@5 90.625 (83.455) Epoch: [67][3700/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.9299 (1.7039) Prec@1 53.125 (54.572) Prec@5 78.125 (83.453) Epoch: [67][3710/11272] Time 0.901 (0.776) Data 0.002 (0.002) Loss 1.7012 (1.7041) Prec@1 56.875 (54.571) Prec@5 83.750 (83.451) Epoch: [67][3720/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.5979 (1.7039) Prec@1 57.500 (54.572) Prec@5 86.250 (83.456) Epoch: [67][3730/11272] Time 0.923 (0.776) Data 0.001 (0.002) Loss 1.6807 (1.7039) Prec@1 54.375 (54.569) Prec@5 84.375 (83.458) Epoch: [67][3740/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.8266 (1.7037) Prec@1 46.250 (54.571) Prec@5 84.375 (83.461) Epoch: [67][3750/11272] Time 0.757 (0.776) Data 0.001 (0.002) Loss 1.7877 (1.7036) Prec@1 55.625 (54.572) Prec@5 80.000 (83.463) Epoch: [67][3760/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.5193 (1.7036) Prec@1 59.375 (54.569) Prec@5 86.875 (83.466) Epoch: [67][3770/11272] Time 0.841 (0.776) Data 0.001 (0.002) Loss 1.6066 (1.7037) Prec@1 55.625 (54.564) Prec@5 86.250 (83.465) Epoch: [67][3780/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.7056 (1.7037) Prec@1 53.125 (54.562) Prec@5 83.750 (83.462) Epoch: [67][3790/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.6338 (1.7038) Prec@1 55.000 (54.559) Prec@5 86.875 (83.461) Epoch: [67][3800/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6648 (1.7038) Prec@1 57.500 (54.560) Prec@5 84.375 (83.461) Epoch: [67][3810/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.8380 (1.7039) Prec@1 51.250 (54.558) Prec@5 81.250 (83.460) Epoch: [67][3820/11272] Time 0.771 (0.776) Data 0.001 (0.002) Loss 1.7770 (1.7039) Prec@1 53.125 (54.560) Prec@5 85.625 (83.461) Epoch: [67][3830/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6809 (1.7038) Prec@1 54.375 (54.562) Prec@5 82.500 (83.465) Epoch: [67][3840/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.4979 (1.7037) Prec@1 59.375 (54.566) Prec@5 84.375 (83.464) Epoch: [67][3850/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.5268 (1.7037) Prec@1 63.125 (54.567) Prec@5 87.500 (83.469) Epoch: [67][3860/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7562 (1.7037) Prec@1 54.375 (54.567) Prec@5 81.875 (83.465) Epoch: [67][3870/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7760 (1.7040) Prec@1 50.625 (54.563) Prec@5 81.875 (83.460) Epoch: [67][3880/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.6993 (1.7040) Prec@1 55.625 (54.560) Prec@5 80.000 (83.458) Epoch: [67][3890/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.6255 (1.7041) Prec@1 60.000 (54.558) Prec@5 85.625 (83.457) Epoch: [67][3900/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.5218 (1.7040) Prec@1 55.625 (54.559) Prec@5 88.125 (83.460) Epoch: [67][3910/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.6162 (1.7042) Prec@1 55.000 (54.554) Prec@5 86.250 (83.459) Epoch: [67][3920/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.8163 (1.7040) Prec@1 48.125 (54.556) Prec@5 83.750 (83.461) Epoch: [67][3930/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.6779 (1.7040) Prec@1 55.625 (54.554) Prec@5 85.625 (83.466) Epoch: [67][3940/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.4159 (1.7038) Prec@1 62.500 (54.559) Prec@5 87.500 (83.470) Epoch: [67][3950/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.7271 (1.7038) Prec@1 52.500 (54.556) Prec@5 85.000 (83.470) Epoch: [67][3960/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 2.0024 (1.7039) Prec@1 49.375 (54.557) Prec@5 76.875 (83.470) Epoch: [67][3970/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.9096 (1.7040) Prec@1 46.875 (54.554) Prec@5 79.375 (83.467) Epoch: [67][3980/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.8522 (1.7039) Prec@1 51.875 (54.556) Prec@5 83.750 (83.468) Epoch: [67][3990/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.3308 (1.7040) Prec@1 63.750 (54.556) Prec@5 91.875 (83.468) Epoch: [67][4000/11272] Time 0.795 (0.776) Data 0.001 (0.002) Loss 1.5366 (1.7039) Prec@1 60.625 (54.557) Prec@5 86.250 (83.469) Epoch: [67][4010/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7531 (1.7040) Prec@1 51.875 (54.553) Prec@5 85.625 (83.468) Epoch: [67][4020/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6205 (1.7040) Prec@1 53.125 (54.552) Prec@5 85.000 (83.466) Epoch: [67][4030/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.7294 (1.7042) Prec@1 54.375 (54.550) Prec@5 85.000 (83.462) Epoch: [67][4040/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.8656 (1.7040) Prec@1 51.250 (54.553) Prec@5 80.000 (83.466) Epoch: [67][4050/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.5018 (1.7038) Prec@1 55.625 (54.556) Prec@5 86.875 (83.470) Epoch: [67][4060/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.5146 (1.7040) Prec@1 60.000 (54.554) Prec@5 85.625 (83.466) Epoch: [67][4070/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6894 (1.7040) Prec@1 50.625 (54.552) Prec@5 85.000 (83.464) Epoch: [67][4080/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.6843 (1.7041) Prec@1 54.375 (54.547) Prec@5 85.625 (83.466) Epoch: [67][4090/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.5042 (1.7039) Prec@1 58.750 (54.551) Prec@5 86.250 (83.469) Epoch: [67][4100/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7337 (1.7040) Prec@1 57.500 (54.549) Prec@5 82.500 (83.468) Epoch: [67][4110/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.5871 (1.7041) Prec@1 58.750 (54.548) Prec@5 85.625 (83.468) Epoch: [67][4120/11272] Time 0.726 (0.775) Data 0.003 (0.002) Loss 1.7859 (1.7042) Prec@1 53.125 (54.542) Prec@5 84.375 (83.466) Epoch: [67][4130/11272] Time 0.760 (0.775) Data 0.002 (0.002) Loss 1.6984 (1.7041) Prec@1 56.250 (54.545) Prec@5 83.750 (83.468) Epoch: [67][4140/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.8387 (1.7041) Prec@1 50.000 (54.549) Prec@5 80.625 (83.468) Epoch: [67][4150/11272] Time 0.868 (0.775) Data 0.002 (0.002) Loss 1.8558 (1.7043) Prec@1 50.625 (54.542) Prec@5 84.375 (83.465) Epoch: [67][4160/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5884 (1.7043) Prec@1 60.000 (54.540) Prec@5 86.875 (83.464) Epoch: [67][4170/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.6580 (1.7043) Prec@1 56.875 (54.543) Prec@5 83.750 (83.464) Epoch: [67][4180/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.7167 (1.7044) Prec@1 51.250 (54.537) Prec@5 85.625 (83.466) Epoch: [67][4190/11272] Time 0.880 (0.775) Data 0.002 (0.002) Loss 1.9801 (1.7046) Prec@1 50.625 (54.531) Prec@5 78.750 (83.462) Epoch: [67][4200/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4192 (1.7044) Prec@1 61.875 (54.540) Prec@5 85.625 (83.466) Epoch: [67][4210/11272] Time 0.698 (0.775) Data 0.001 (0.002) Loss 1.7913 (1.7043) Prec@1 51.875 (54.540) Prec@5 81.875 (83.467) Epoch: [67][4220/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.7116 (1.7044) Prec@1 53.750 (54.538) Prec@5 84.375 (83.464) Epoch: [67][4230/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.6688 (1.7043) Prec@1 56.250 (54.542) Prec@5 81.875 (83.463) Epoch: [67][4240/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6896 (1.7044) Prec@1 56.875 (54.540) Prec@5 83.750 (83.463) Epoch: [67][4250/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.6351 (1.7044) Prec@1 56.250 (54.538) Prec@5 86.250 (83.463) Epoch: [67][4260/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.7426 (1.7043) Prec@1 56.250 (54.542) Prec@5 81.250 (83.465) Epoch: [67][4270/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6149 (1.7045) Prec@1 56.875 (54.539) Prec@5 87.500 (83.461) Epoch: [67][4280/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.5964 (1.7044) Prec@1 58.750 (54.539) Prec@5 81.875 (83.460) Epoch: [67][4290/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.5148 (1.7046) Prec@1 61.250 (54.533) Prec@5 83.125 (83.457) Epoch: [67][4300/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.8311 (1.7045) Prec@1 53.750 (54.536) Prec@5 81.250 (83.457) Epoch: [67][4310/11272] Time 0.739 (0.775) Data 0.002 (0.002) Loss 1.7650 (1.7045) Prec@1 55.625 (54.536) Prec@5 86.875 (83.460) Epoch: [67][4320/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.9260 (1.7046) Prec@1 50.625 (54.529) Prec@5 80.625 (83.459) Epoch: [67][4330/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.6859 (1.7046) Prec@1 57.500 (54.530) Prec@5 83.750 (83.459) Epoch: [67][4340/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.5141 (1.7045) Prec@1 52.500 (54.534) Prec@5 86.875 (83.460) Epoch: [67][4350/11272] Time 0.735 (0.775) Data 0.002 (0.002) Loss 1.5279 (1.7044) Prec@1 59.375 (54.537) Prec@5 86.875 (83.461) Epoch: [67][4360/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.4049 (1.7044) Prec@1 58.125 (54.537) Prec@5 86.875 (83.462) Epoch: [67][4370/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8600 (1.7045) Prec@1 50.000 (54.531) Prec@5 82.500 (83.459) Epoch: [67][4380/11272] Time 0.701 (0.775) Data 0.002 (0.002) Loss 1.8192 (1.7046) Prec@1 54.375 (54.533) Prec@5 80.000 (83.460) Epoch: [67][4390/11272] Time 0.746 (0.775) Data 0.002 (0.002) Loss 2.0465 (1.7047) Prec@1 49.375 (54.532) Prec@5 78.750 (83.456) Epoch: [67][4400/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.8036 (1.7047) Prec@1 46.250 (54.531) Prec@5 79.375 (83.454) Epoch: [67][4410/11272] Time 0.849 (0.775) Data 0.002 (0.002) Loss 1.8138 (1.7046) Prec@1 51.250 (54.534) Prec@5 80.000 (83.456) Epoch: [67][4420/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.8685 (1.7046) Prec@1 53.750 (54.533) Prec@5 80.625 (83.454) Epoch: [67][4430/11272] Time 0.735 (0.775) Data 0.002 (0.002) Loss 1.8691 (1.7046) Prec@1 52.500 (54.531) Prec@5 82.500 (83.455) Epoch: [67][4440/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.5635 (1.7044) Prec@1 55.000 (54.532) Prec@5 86.875 (83.460) Epoch: [67][4450/11272] Time 0.811 (0.775) Data 0.002 (0.002) Loss 1.4776 (1.7043) Prec@1 63.750 (54.535) Prec@5 86.250 (83.461) Epoch: [67][4460/11272] Time 0.685 (0.775) Data 0.001 (0.002) Loss 1.8679 (1.7045) Prec@1 52.500 (54.530) Prec@5 80.000 (83.458) Epoch: [67][4470/11272] Time 0.732 (0.775) Data 0.002 (0.002) Loss 1.6576 (1.7045) Prec@1 56.875 (54.531) Prec@5 81.250 (83.458) Epoch: [67][4480/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.9478 (1.7046) Prec@1 51.250 (54.527) Prec@5 78.750 (83.456) Epoch: [67][4490/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.7895 (1.7045) Prec@1 53.125 (54.528) Prec@5 82.500 (83.458) Epoch: [67][4500/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.7728 (1.7046) Prec@1 54.375 (54.527) Prec@5 81.875 (83.458) Epoch: [67][4510/11272] Time 0.835 (0.775) Data 0.002 (0.002) Loss 1.7982 (1.7045) Prec@1 53.750 (54.528) Prec@5 79.375 (83.457) Epoch: [67][4520/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.7056 (1.7044) Prec@1 58.750 (54.529) Prec@5 83.125 (83.459) Epoch: [67][4530/11272] Time 0.758 (0.775) Data 0.001 (0.002) Loss 1.7295 (1.7044) Prec@1 52.500 (54.532) Prec@5 86.250 (83.460) Epoch: [67][4540/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.6992 (1.7044) Prec@1 53.750 (54.532) Prec@5 84.375 (83.458) Epoch: [67][4550/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.6776 (1.7045) Prec@1 53.750 (54.531) Prec@5 83.750 (83.456) Epoch: [67][4560/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.6189 (1.7046) Prec@1 55.000 (54.528) Prec@5 86.875 (83.454) Epoch: [67][4570/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.5801 (1.7046) Prec@1 61.250 (54.530) Prec@5 84.375 (83.455) Epoch: [67][4580/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7123 (1.7046) Prec@1 55.625 (54.529) Prec@5 80.625 (83.454) Epoch: [67][4590/11272] Time 0.834 (0.775) Data 0.002 (0.002) Loss 1.5791 (1.7047) Prec@1 60.000 (54.528) Prec@5 83.750 (83.454) Epoch: [67][4600/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.6074 (1.7048) Prec@1 55.000 (54.526) Prec@5 86.250 (83.452) Epoch: [67][4610/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.7398 (1.7047) Prec@1 51.875 (54.529) Prec@5 85.000 (83.455) Epoch: [67][4620/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.5209 (1.7046) Prec@1 59.375 (54.533) Prec@5 85.625 (83.458) Epoch: [67][4630/11272] Time 0.804 (0.775) Data 0.002 (0.002) Loss 1.9030 (1.7045) Prec@1 50.625 (54.538) Prec@5 79.375 (83.461) Epoch: [67][4640/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.9017 (1.7043) Prec@1 51.250 (54.544) Prec@5 80.000 (83.464) Epoch: [67][4650/11272] Time 0.702 (0.775) Data 0.002 (0.002) Loss 1.8593 (1.7042) Prec@1 50.000 (54.546) Prec@5 82.500 (83.464) Epoch: [67][4660/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5365 (1.7042) Prec@1 56.875 (54.548) Prec@5 86.875 (83.461) Epoch: [67][4670/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.8722 (1.7042) Prec@1 48.125 (54.546) Prec@5 79.375 (83.463) Epoch: [67][4680/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.7260 (1.7042) Prec@1 56.875 (54.549) Prec@5 83.125 (83.462) Epoch: [67][4690/11272] Time 0.729 (0.775) Data 0.002 (0.002) Loss 1.8275 (1.7043) Prec@1 52.500 (54.549) Prec@5 80.000 (83.462) Epoch: [67][4700/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.7916 (1.7044) Prec@1 53.125 (54.547) Prec@5 81.250 (83.462) Epoch: [67][4710/11272] Time 0.794 (0.775) Data 0.002 (0.002) Loss 1.5419 (1.7043) Prec@1 57.500 (54.546) Prec@5 85.000 (83.463) Epoch: [67][4720/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6837 (1.7045) Prec@1 53.750 (54.545) Prec@5 85.625 (83.462) Epoch: [67][4730/11272] Time 0.759 (0.775) Data 0.001 (0.002) Loss 1.7517 (1.7044) Prec@1 58.125 (54.546) Prec@5 80.625 (83.464) Epoch: [67][4740/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.8662 (1.7045) Prec@1 51.250 (54.546) Prec@5 80.000 (83.461) Epoch: [67][4750/11272] Time 0.875 (0.775) Data 0.002 (0.002) Loss 1.7549 (1.7045) Prec@1 52.500 (54.545) Prec@5 80.625 (83.462) Epoch: [67][4760/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.8362 (1.7044) Prec@1 58.750 (54.550) Prec@5 80.000 (83.462) Epoch: [67][4770/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.7314 (1.7045) Prec@1 56.250 (54.546) Prec@5 79.375 (83.458) Epoch: [67][4780/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.7834 (1.7046) Prec@1 50.625 (54.540) Prec@5 83.125 (83.457) Epoch: [67][4790/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.6401 (1.7046) Prec@1 53.750 (54.540) Prec@5 86.875 (83.456) Epoch: [67][4800/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.4865 (1.7045) Prec@1 58.125 (54.543) Prec@5 87.500 (83.459) Epoch: [67][4810/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.8812 (1.7046) Prec@1 50.000 (54.541) Prec@5 83.125 (83.461) Epoch: [67][4820/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.5797 (1.7047) Prec@1 56.250 (54.540) Prec@5 83.750 (83.459) Epoch: [67][4830/11272] Time 0.738 (0.775) Data 0.002 (0.002) Loss 1.5588 (1.7046) Prec@1 58.125 (54.541) Prec@5 85.000 (83.458) Epoch: [67][4840/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.8697 (1.7047) Prec@1 48.125 (54.540) Prec@5 83.750 (83.457) Epoch: [67][4850/11272] Time 0.855 (0.775) Data 0.002 (0.002) Loss 1.6843 (1.7047) Prec@1 53.125 (54.539) Prec@5 81.250 (83.456) Epoch: [67][4860/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.5461 (1.7047) Prec@1 58.750 (54.540) Prec@5 86.875 (83.456) Epoch: [67][4870/11272] Time 0.773 (0.775) Data 0.002 (0.002) Loss 1.7382 (1.7049) Prec@1 55.000 (54.538) Prec@5 85.625 (83.456) Epoch: [67][4880/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7115 (1.7049) Prec@1 58.750 (54.539) Prec@5 83.750 (83.456) Epoch: [67][4890/11272] Time 0.876 (0.775) Data 0.001 (0.002) Loss 1.8234 (1.7050) Prec@1 46.875 (54.533) Prec@5 81.250 (83.455) Epoch: [67][4900/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.5425 (1.7049) Prec@1 62.500 (54.534) Prec@5 88.125 (83.457) Epoch: [67][4910/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.7153 (1.7049) Prec@1 51.250 (54.537) Prec@5 82.500 (83.456) Epoch: [67][4920/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.5778 (1.7048) Prec@1 58.125 (54.538) Prec@5 85.625 (83.456) Epoch: [67][4930/11272] Time 0.856 (0.775) Data 0.002 (0.002) Loss 1.4728 (1.7047) Prec@1 63.125 (54.541) Prec@5 85.625 (83.457) Epoch: [67][4940/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.8722 (1.7046) Prec@1 52.500 (54.544) Prec@5 80.625 (83.458) Epoch: [67][4950/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.6222 (1.7046) Prec@1 56.875 (54.546) Prec@5 86.250 (83.460) Epoch: [67][4960/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.4082 (1.7045) Prec@1 65.625 (54.546) Prec@5 89.375 (83.463) Epoch: [67][4970/11272] Time 0.835 (0.775) Data 0.002 (0.002) Loss 1.8691 (1.7046) Prec@1 52.500 (54.544) Prec@5 79.375 (83.462) Epoch: [67][4980/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6535 (1.7045) Prec@1 55.000 (54.542) Prec@5 85.000 (83.465) Epoch: [67][4990/11272] Time 0.785 (0.775) Data 0.002 (0.002) Loss 1.5406 (1.7045) Prec@1 56.875 (54.540) Prec@5 86.250 (83.465) Epoch: [67][5000/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.6879 (1.7046) Prec@1 51.875 (54.536) Prec@5 85.625 (83.466) Epoch: [67][5010/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.9001 (1.7046) Prec@1 52.500 (54.532) Prec@5 79.375 (83.467) Epoch: [67][5020/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.7115 (1.7047) Prec@1 55.000 (54.530) Prec@5 86.250 (83.467) Epoch: [67][5030/11272] Time 0.742 (0.775) Data 0.002 (0.002) Loss 1.5590 (1.7045) Prec@1 58.125 (54.536) Prec@5 86.875 (83.470) Epoch: [67][5040/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.8407 (1.7045) Prec@1 48.750 (54.534) Prec@5 79.375 (83.469) Epoch: [67][5050/11272] Time 0.730 (0.775) Data 0.003 (0.002) Loss 1.6466 (1.7045) Prec@1 55.000 (54.532) Prec@5 83.125 (83.471) Epoch: [67][5060/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5058 (1.7044) Prec@1 62.500 (54.530) Prec@5 86.875 (83.472) Epoch: [67][5070/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.4385 (1.7043) Prec@1 60.000 (54.533) Prec@5 88.750 (83.475) Epoch: [67][5080/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.7691 (1.7043) Prec@1 51.875 (54.529) Prec@5 84.375 (83.475) Epoch: [67][5090/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.7296 (1.7043) Prec@1 56.875 (54.532) Prec@5 80.625 (83.474) Epoch: [67][5100/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.8289 (1.7043) Prec@1 57.500 (54.531) Prec@5 79.375 (83.475) Epoch: [67][5110/11272] Time 0.858 (0.775) Data 0.001 (0.002) Loss 1.8363 (1.7045) Prec@1 53.750 (54.526) Prec@5 78.125 (83.472) Epoch: [67][5120/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.9528 (1.7045) Prec@1 51.875 (54.525) Prec@5 77.500 (83.473) Epoch: [67][5130/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6023 (1.7044) Prec@1 56.250 (54.526) Prec@5 85.625 (83.476) Epoch: [67][5140/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.6724 (1.7043) Prec@1 58.125 (54.529) Prec@5 84.375 (83.478) Epoch: [67][5150/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.8332 (1.7043) Prec@1 53.750 (54.527) Prec@5 81.875 (83.477) Epoch: [67][5160/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.6780 (1.7042) Prec@1 59.375 (54.532) Prec@5 83.750 (83.479) Epoch: [67][5170/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.8405 (1.7043) Prec@1 46.875 (54.526) Prec@5 80.000 (83.475) Epoch: [67][5180/11272] Time 0.870 (0.775) Data 0.001 (0.002) Loss 1.5673 (1.7044) Prec@1 59.375 (54.524) Prec@5 86.250 (83.474) Epoch: [67][5190/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.6885 (1.7044) Prec@1 57.500 (54.525) Prec@5 86.875 (83.475) Epoch: [67][5200/11272] Time 0.753 (0.775) Data 0.001 (0.002) Loss 1.6393 (1.7044) Prec@1 58.750 (54.526) Prec@5 80.000 (83.473) Epoch: [67][5210/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.9538 (1.7046) Prec@1 46.875 (54.522) Prec@5 84.375 (83.471) Epoch: [67][5220/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.6693 (1.7046) Prec@1 53.750 (54.522) Prec@5 79.375 (83.470) Epoch: [67][5230/11272] Time 0.843 (0.775) Data 0.002 (0.002) Loss 1.5401 (1.7045) Prec@1 56.250 (54.521) Prec@5 84.375 (83.471) Epoch: [67][5240/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.5783 (1.7045) Prec@1 55.625 (54.521) Prec@5 85.625 (83.470) Epoch: [67][5250/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6129 (1.7045) Prec@1 56.875 (54.520) Prec@5 85.625 (83.468) Epoch: [67][5260/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.6575 (1.7046) Prec@1 54.375 (54.520) Prec@5 87.500 (83.468) Epoch: [67][5270/11272] Time 0.868 (0.775) Data 0.002 (0.002) Loss 1.6463 (1.7044) Prec@1 58.125 (54.523) Prec@5 85.000 (83.471) Epoch: [67][5280/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.8003 (1.7044) Prec@1 53.750 (54.523) Prec@5 81.875 (83.469) Epoch: [67][5290/11272] Time 0.740 (0.775) Data 0.002 (0.002) Loss 1.7634 (1.7046) Prec@1 52.500 (54.519) Prec@5 82.500 (83.467) Epoch: [67][5300/11272] Time 0.789 (0.775) Data 0.001 (0.002) Loss 1.6390 (1.7045) Prec@1 61.875 (54.521) Prec@5 81.875 (83.468) Epoch: [67][5310/11272] Time 0.746 (0.775) Data 0.003 (0.002) Loss 1.7404 (1.7045) Prec@1 49.375 (54.520) Prec@5 84.375 (83.469) Epoch: [67][5320/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.6273 (1.7045) Prec@1 57.500 (54.518) Prec@5 81.250 (83.468) Epoch: [67][5330/11272] Time 0.873 (0.775) Data 0.002 (0.002) Loss 1.7823 (1.7047) Prec@1 53.750 (54.514) Prec@5 81.875 (83.466) Epoch: [67][5340/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.4827 (1.7049) Prec@1 58.750 (54.509) Prec@5 90.625 (83.463) Epoch: [67][5350/11272] Time 0.756 (0.775) Data 0.002 (0.002) Loss 1.5998 (1.7049) Prec@1 55.000 (54.510) Prec@5 84.375 (83.462) Epoch: [67][5360/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6577 (1.7050) Prec@1 52.500 (54.511) Prec@5 90.000 (83.460) Epoch: [67][5370/11272] Time 0.817 (0.775) Data 0.002 (0.002) Loss 1.8220 (1.7049) Prec@1 51.875 (54.512) Prec@5 78.750 (83.461) Epoch: [67][5380/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.8487 (1.7049) Prec@1 55.625 (54.512) Prec@5 77.500 (83.460) Epoch: [67][5390/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5418 (1.7049) Prec@1 56.250 (54.512) Prec@5 85.000 (83.459) Epoch: [67][5400/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6234 (1.7050) Prec@1 54.375 (54.511) Prec@5 86.250 (83.459) Epoch: [67][5410/11272] Time 0.828 (0.775) Data 0.002 (0.002) Loss 1.6708 (1.7048) Prec@1 57.500 (54.513) Prec@5 82.500 (83.463) Epoch: [67][5420/11272] Time 0.774 (0.775) Data 0.001 (0.002) Loss 1.6122 (1.7048) Prec@1 56.875 (54.511) Prec@5 85.625 (83.462) Epoch: [67][5430/11272] Time 0.742 (0.775) Data 0.002 (0.002) Loss 1.7041 (1.7048) Prec@1 55.000 (54.512) Prec@5 85.625 (83.462) Epoch: [67][5440/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.5314 (1.7049) Prec@1 59.375 (54.510) Prec@5 83.750 (83.460) Epoch: [67][5450/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.7118 (1.7050) Prec@1 56.875 (54.508) Prec@5 85.000 (83.460) Epoch: [67][5460/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.7765 (1.7050) Prec@1 54.375 (54.509) Prec@5 78.750 (83.459) Epoch: [67][5470/11272] Time 0.756 (0.775) Data 0.001 (0.002) Loss 1.5566 (1.7050) Prec@1 55.000 (54.509) Prec@5 88.125 (83.460) Epoch: [67][5480/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6924 (1.7050) Prec@1 53.125 (54.509) Prec@5 84.375 (83.459) Epoch: [67][5490/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.7071 (1.7051) Prec@1 59.375 (54.509) Prec@5 85.000 (83.456) Epoch: [67][5500/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6666 (1.7051) Prec@1 53.125 (54.510) Prec@5 85.625 (83.457) Epoch: [67][5510/11272] Time 0.724 (0.775) Data 0.002 (0.002) Loss 1.5735 (1.7051) Prec@1 58.125 (54.511) Prec@5 85.625 (83.454) Epoch: [67][5520/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6275 (1.7051) Prec@1 56.875 (54.513) Prec@5 87.500 (83.455) Epoch: [67][5530/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.7366 (1.7050) Prec@1 54.375 (54.515) Prec@5 79.375 (83.455) Epoch: [67][5540/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.4995 (1.7050) Prec@1 56.875 (54.514) Prec@5 86.250 (83.455) Epoch: [67][5550/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.6964 (1.7049) Prec@1 58.125 (54.519) Prec@5 88.125 (83.457) Epoch: [67][5560/11272] Time 0.826 (0.775) Data 0.002 (0.002) Loss 1.5254 (1.7047) Prec@1 55.625 (54.519) Prec@5 86.875 (83.459) Epoch: [67][5570/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.7892 (1.7049) Prec@1 54.375 (54.519) Prec@5 80.625 (83.456) Epoch: [67][5580/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.8179 (1.7048) Prec@1 53.750 (54.522) Prec@5 83.125 (83.460) Epoch: [67][5590/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.7828 (1.7050) Prec@1 51.875 (54.518) Prec@5 83.750 (83.456) Epoch: [67][5600/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.6601 (1.7052) Prec@1 58.125 (54.514) Prec@5 85.000 (83.453) Epoch: [67][5610/11272] Time 0.776 (0.775) Data 0.001 (0.002) Loss 1.6368 (1.7053) Prec@1 58.125 (54.510) Prec@5 81.875 (83.451) Epoch: [67][5620/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6844 (1.7055) Prec@1 51.875 (54.505) Prec@5 83.750 (83.446) Epoch: [67][5630/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.6577 (1.7055) Prec@1 60.625 (54.505) Prec@5 81.875 (83.446) Epoch: [67][5640/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.6335 (1.7054) Prec@1 56.250 (54.510) Prec@5 86.875 (83.447) Epoch: [67][5650/11272] Time 0.782 (0.775) Data 0.002 (0.002) Loss 1.7196 (1.7053) Prec@1 53.125 (54.511) Prec@5 81.875 (83.449) Epoch: [67][5660/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.8939 (1.7053) Prec@1 46.875 (54.510) Prec@5 80.625 (83.449) Epoch: [67][5670/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7983 (1.7054) Prec@1 52.500 (54.508) Prec@5 86.250 (83.448) Epoch: [67][5680/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.4558 (1.7053) Prec@1 56.875 (54.510) Prec@5 86.250 (83.450) Epoch: [67][5690/11272] Time 0.681 (0.775) Data 0.001 (0.002) Loss 1.6894 (1.7053) Prec@1 56.250 (54.509) Prec@5 81.875 (83.450) Epoch: [67][5700/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.5908 (1.7053) Prec@1 55.625 (54.510) Prec@5 85.000 (83.452) Epoch: [67][5710/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8364 (1.7053) Prec@1 53.125 (54.511) Prec@5 80.625 (83.453) Epoch: [67][5720/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.4228 (1.7053) Prec@1 55.000 (54.508) Prec@5 88.750 (83.452) Epoch: [67][5730/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.7346 (1.7053) Prec@1 53.750 (54.509) Prec@5 84.375 (83.453) Epoch: [67][5740/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.6467 (1.7053) Prec@1 55.625 (54.511) Prec@5 83.125 (83.454) Epoch: [67][5750/11272] Time 0.790 (0.775) Data 0.001 (0.002) Loss 1.7175 (1.7052) Prec@1 53.125 (54.514) Prec@5 82.500 (83.454) Epoch: [67][5760/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.4019 (1.7051) Prec@1 56.875 (54.518) Prec@5 91.250 (83.455) Epoch: [67][5770/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.7620 (1.7051) Prec@1 56.250 (54.517) Prec@5 81.250 (83.457) Epoch: [67][5780/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.7085 (1.7051) Prec@1 53.750 (54.516) Prec@5 83.750 (83.457) Epoch: [67][5790/11272] Time 0.856 (0.775) Data 0.002 (0.002) Loss 1.9154 (1.7052) Prec@1 48.750 (54.515) Prec@5 81.250 (83.458) Epoch: [67][5800/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6425 (1.7052) Prec@1 55.625 (54.517) Prec@5 82.500 (83.457) Epoch: [67][5810/11272] Time 0.751 (0.774) Data 0.002 (0.002) Loss 1.5252 (1.7053) Prec@1 64.375 (54.518) Prec@5 87.500 (83.455) Epoch: [67][5820/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.9660 (1.7053) Prec@1 51.250 (54.520) Prec@5 76.250 (83.454) Epoch: [67][5830/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.7521 (1.7054) Prec@1 53.125 (54.517) Prec@5 81.875 (83.453) Epoch: [67][5840/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.4492 (1.7054) Prec@1 61.875 (54.514) Prec@5 88.125 (83.454) Epoch: [67][5850/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.7909 (1.7056) Prec@1 48.125 (54.508) Prec@5 81.250 (83.452) Epoch: [67][5860/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7917 (1.7056) Prec@1 53.750 (54.511) Prec@5 81.250 (83.452) Epoch: [67][5870/11272] Time 0.757 (0.774) Data 0.002 (0.002) Loss 1.8109 (1.7057) Prec@1 50.625 (54.508) Prec@5 84.375 (83.449) Epoch: [67][5880/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.6661 (1.7058) Prec@1 56.250 (54.506) Prec@5 86.250 (83.449) Epoch: [67][5890/11272] Time 0.827 (0.774) Data 0.002 (0.002) Loss 1.7945 (1.7058) Prec@1 51.250 (54.504) Prec@5 81.875 (83.449) Epoch: [67][5900/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.6128 (1.7057) Prec@1 53.750 (54.506) Prec@5 86.250 (83.450) Epoch: [67][5910/11272] Time 0.759 (0.775) Data 0.002 (0.002) Loss 1.5958 (1.7057) Prec@1 59.375 (54.507) Prec@5 84.375 (83.451) Epoch: [67][5920/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.9338 (1.7057) Prec@1 50.625 (54.508) Prec@5 80.625 (83.451) Epoch: [67][5930/11272] Time 0.829 (0.774) Data 0.002 (0.002) Loss 1.6648 (1.7056) Prec@1 60.000 (54.512) Prec@5 85.000 (83.453) Epoch: [67][5940/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8400 (1.7056) Prec@1 53.125 (54.513) Prec@5 81.875 (83.454) Epoch: [67][5950/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.6429 (1.7055) Prec@1 58.750 (54.514) Prec@5 85.000 (83.454) Epoch: [67][5960/11272] Time 0.707 (0.774) Data 0.002 (0.002) Loss 1.4999 (1.7055) Prec@1 58.750 (54.511) Prec@5 87.500 (83.454) Epoch: [67][5970/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.8595 (1.7055) Prec@1 50.000 (54.513) Prec@5 80.000 (83.455) Epoch: [67][5980/11272] Time 0.694 (0.774) Data 0.002 (0.002) Loss 1.8075 (1.7057) Prec@1 51.875 (54.511) Prec@5 83.125 (83.454) Epoch: [67][5990/11272] Time 0.715 (0.774) Data 0.002 (0.002) Loss 1.6613 (1.7055) Prec@1 54.375 (54.513) Prec@5 85.000 (83.457) Epoch: [67][6000/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.8128 (1.7055) Prec@1 56.875 (54.513) Prec@5 83.750 (83.459) Epoch: [67][6010/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 1.7486 (1.7056) Prec@1 53.750 (54.512) Prec@5 80.625 (83.457) Epoch: [67][6020/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.7161 (1.7057) Prec@1 56.875 (54.512) Prec@5 83.125 (83.455) Epoch: [67][6030/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.5474 (1.7057) Prec@1 58.750 (54.513) Prec@5 87.500 (83.455) Epoch: [67][6040/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.6322 (1.7056) Prec@1 54.375 (54.514) Prec@5 82.500 (83.455) Epoch: [67][6050/11272] Time 0.796 (0.774) Data 0.001 (0.002) Loss 1.7731 (1.7056) Prec@1 56.875 (54.512) Prec@5 84.375 (83.456) Epoch: [67][6060/11272] Time 0.748 (0.774) Data 0.002 (0.002) Loss 1.7216 (1.7056) Prec@1 54.375 (54.515) Prec@5 78.125 (83.455) Epoch: [67][6070/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6760 (1.7056) Prec@1 56.250 (54.516) Prec@5 81.875 (83.455) Epoch: [67][6080/11272] Time 0.824 (0.774) Data 0.002 (0.002) Loss 1.7615 (1.7057) Prec@1 53.750 (54.514) Prec@5 82.500 (83.453) Epoch: [67][6090/11272] Time 0.813 (0.774) Data 0.002 (0.002) Loss 1.7759 (1.7059) Prec@1 52.500 (54.511) Prec@5 78.750 (83.450) Epoch: [67][6100/11272] Time 0.722 (0.774) Data 0.002 (0.002) Loss 1.9017 (1.7059) Prec@1 48.750 (54.509) Prec@5 80.000 (83.451) Epoch: [67][6110/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.7197 (1.7060) Prec@1 57.500 (54.507) Prec@5 82.500 (83.448) Epoch: [67][6120/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.6694 (1.7059) Prec@1 52.500 (54.509) Prec@5 86.250 (83.449) Epoch: [67][6130/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.7667 (1.7058) Prec@1 52.500 (54.512) Prec@5 81.875 (83.452) Epoch: [67][6140/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.7225 (1.7057) Prec@1 52.500 (54.513) Prec@5 83.125 (83.451) Epoch: [67][6150/11272] Time 0.836 (0.774) Data 0.002 (0.002) Loss 1.8068 (1.7057) Prec@1 47.500 (54.512) Prec@5 84.375 (83.452) Epoch: [67][6160/11272] Time 0.800 (0.774) Data 0.002 (0.002) Loss 2.0078 (1.7058) Prec@1 48.125 (54.510) Prec@5 78.750 (83.451) Epoch: [67][6170/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.7818 (1.7057) Prec@1 53.125 (54.509) Prec@5 82.500 (83.454) Epoch: [67][6180/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.8432 (1.7058) Prec@1 51.875 (54.508) Prec@5 81.250 (83.454) Epoch: [67][6190/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.5452 (1.7058) Prec@1 56.875 (54.506) Prec@5 83.750 (83.455) Epoch: [67][6200/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.8154 (1.7058) Prec@1 52.500 (54.506) Prec@5 81.875 (83.456) Epoch: [67][6210/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.6159 (1.7058) Prec@1 61.250 (54.510) Prec@5 85.625 (83.455) Epoch: [67][6220/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7689 (1.7057) Prec@1 51.875 (54.509) Prec@5 79.375 (83.456) Epoch: [67][6230/11272] Time 0.850 (0.774) Data 0.002 (0.002) Loss 1.5962 (1.7059) Prec@1 57.500 (54.506) Prec@5 83.750 (83.454) Epoch: [67][6240/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.4631 (1.7058) Prec@1 59.375 (54.507) Prec@5 85.625 (83.454) Epoch: [67][6250/11272] Time 0.746 (0.774) Data 0.002 (0.002) Loss 1.7814 (1.7058) Prec@1 49.375 (54.508) Prec@5 82.500 (83.456) Epoch: [67][6260/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.7508 (1.7058) Prec@1 56.250 (54.505) Prec@5 81.875 (83.456) Epoch: [67][6270/11272] Time 0.851 (0.774) Data 0.002 (0.002) Loss 1.6289 (1.7058) Prec@1 53.750 (54.505) Prec@5 86.250 (83.457) Epoch: [67][6280/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5449 (1.7057) Prec@1 56.875 (54.506) Prec@5 85.625 (83.459) Epoch: [67][6290/11272] Time 0.765 (0.774) Data 0.002 (0.002) Loss 1.6383 (1.7058) Prec@1 57.500 (54.505) Prec@5 86.875 (83.458) Epoch: [67][6300/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.7110 (1.7058) Prec@1 53.750 (54.504) Prec@5 83.125 (83.460) Epoch: [67][6310/11272] Time 0.882 (0.774) Data 0.002 (0.002) Loss 1.4615 (1.7058) Prec@1 56.875 (54.502) Prec@5 89.375 (83.460) Epoch: [67][6320/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.6745 (1.7058) Prec@1 56.250 (54.502) Prec@5 84.375 (83.459) Epoch: [67][6330/11272] Time 0.777 (0.774) Data 0.002 (0.002) Loss 1.9011 (1.7060) Prec@1 55.625 (54.501) Prec@5 79.375 (83.457) Epoch: [67][6340/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.8485 (1.7058) Prec@1 51.250 (54.504) Prec@5 80.000 (83.460) Epoch: [67][6350/11272] Time 0.836 (0.774) Data 0.002 (0.002) Loss 1.7102 (1.7058) Prec@1 50.625 (54.504) Prec@5 80.625 (83.459) Epoch: [67][6360/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.7221 (1.7058) Prec@1 53.125 (54.504) Prec@5 83.125 (83.458) Epoch: [67][6370/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.8588 (1.7059) Prec@1 54.375 (54.505) Prec@5 82.500 (83.458) Epoch: [67][6380/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 2.0224 (1.7060) Prec@1 47.500 (54.502) Prec@5 80.000 (83.455) Epoch: [67][6390/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6433 (1.7062) Prec@1 55.625 (54.501) Prec@5 83.125 (83.454) Epoch: [67][6400/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5735 (1.7063) Prec@1 55.625 (54.498) Prec@5 84.375 (83.452) Epoch: [67][6410/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.7207 (1.7063) Prec@1 51.875 (54.497) Prec@5 82.500 (83.451) Epoch: [67][6420/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.5631 (1.7063) Prec@1 54.375 (54.496) Prec@5 90.625 (83.452) Epoch: [67][6430/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.7836 (1.7064) Prec@1 49.375 (54.493) Prec@5 83.750 (83.451) Epoch: [67][6440/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.6275 (1.7064) Prec@1 57.500 (54.492) Prec@5 81.875 (83.449) Epoch: [67][6450/11272] Time 0.910 (0.774) Data 0.002 (0.002) Loss 1.7761 (1.7066) Prec@1 56.250 (54.489) Prec@5 79.375 (83.447) Epoch: [67][6460/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.5293 (1.7068) Prec@1 58.125 (54.484) Prec@5 88.125 (83.442) Epoch: [67][6470/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.5703 (1.7068) Prec@1 58.125 (54.484) Prec@5 86.250 (83.442) Epoch: [67][6480/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6694 (1.7067) Prec@1 58.125 (54.486) Prec@5 83.125 (83.443) Epoch: [67][6490/11272] Time 0.867 (0.774) Data 0.002 (0.002) Loss 1.8951 (1.7069) Prec@1 50.000 (54.481) Prec@5 81.250 (83.440) Epoch: [67][6500/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.5625 (1.7068) Prec@1 55.625 (54.483) Prec@5 86.875 (83.441) Epoch: [67][6510/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.8819 (1.7069) Prec@1 51.250 (54.481) Prec@5 77.500 (83.439) Epoch: [67][6520/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.7996 (1.7069) Prec@1 53.125 (54.483) Prec@5 80.625 (83.439) Epoch: [67][6530/11272] Time 0.873 (0.774) Data 0.001 (0.002) Loss 1.7880 (1.7069) Prec@1 50.625 (54.483) Prec@5 82.500 (83.439) Epoch: [67][6540/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7984 (1.7070) Prec@1 50.625 (54.479) Prec@5 81.875 (83.436) Epoch: [67][6550/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 2.0384 (1.7070) Prec@1 51.250 (54.478) Prec@5 76.875 (83.437) Epoch: [67][6560/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.8070 (1.7070) Prec@1 47.500 (54.477) Prec@5 79.375 (83.437) Epoch: [67][6570/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.8324 (1.7068) Prec@1 49.375 (54.479) Prec@5 80.625 (83.440) Epoch: [67][6580/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6046 (1.7067) Prec@1 55.000 (54.480) Prec@5 82.500 (83.442) Epoch: [67][6590/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5752 (1.7068) Prec@1 53.750 (54.478) Prec@5 87.500 (83.441) Epoch: [67][6600/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.9837 (1.7068) Prec@1 48.750 (54.478) Prec@5 77.500 (83.441) Epoch: [67][6610/11272] Time 0.846 (0.774) Data 0.001 (0.002) Loss 1.6549 (1.7069) Prec@1 53.750 (54.476) Prec@5 85.000 (83.442) Epoch: [67][6620/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.5601 (1.7069) Prec@1 56.250 (54.476) Prec@5 83.750 (83.442) Epoch: [67][6630/11272] Time 0.715 (0.774) Data 0.002 (0.002) Loss 1.8231 (1.7070) Prec@1 53.750 (54.473) Prec@5 82.500 (83.440) Epoch: [67][6640/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.9341 (1.7070) Prec@1 51.250 (54.471) Prec@5 79.375 (83.441) Epoch: [67][6650/11272] Time 0.750 (0.774) Data 0.001 (0.002) Loss 1.7373 (1.7070) Prec@1 53.750 (54.471) Prec@5 83.125 (83.442) Epoch: [67][6660/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.9675 (1.7071) Prec@1 49.375 (54.469) Prec@5 77.500 (83.441) Epoch: [67][6670/11272] Time 0.855 (0.774) Data 0.001 (0.002) Loss 1.6596 (1.7070) Prec@1 61.875 (54.472) Prec@5 83.750 (83.442) Epoch: [67][6680/11272] Time 0.789 (0.774) Data 0.001 (0.002) Loss 1.4741 (1.7070) Prec@1 63.125 (54.474) Prec@5 87.500 (83.443) Epoch: [67][6690/11272] Time 0.723 (0.774) Data 0.002 (0.002) Loss 1.9069 (1.7070) Prec@1 49.375 (54.476) Prec@5 78.750 (83.442) Epoch: [67][6700/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.7020 (1.7070) Prec@1 54.375 (54.475) Prec@5 82.500 (83.443) Epoch: [67][6710/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.7114 (1.7070) Prec@1 58.750 (54.475) Prec@5 81.875 (83.441) Epoch: [67][6720/11272] Time 0.816 (0.774) Data 0.002 (0.002) Loss 1.5684 (1.7070) Prec@1 54.375 (54.477) Prec@5 83.125 (83.442) Epoch: [67][6730/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.7787 (1.7071) Prec@1 52.500 (54.475) Prec@5 85.000 (83.439) Epoch: [67][6740/11272] Time 0.710 (0.774) Data 0.002 (0.002) Loss 1.7396 (1.7071) Prec@1 55.625 (54.474) Prec@5 83.125 (83.437) Epoch: [67][6750/11272] Time 0.853 (0.774) Data 0.001 (0.002) Loss 1.7695 (1.7071) Prec@1 52.500 (54.475) Prec@5 81.250 (83.438) Epoch: [67][6760/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.8266 (1.7072) Prec@1 54.375 (54.473) Prec@5 81.875 (83.440) Epoch: [67][6770/11272] Time 0.733 (0.774) Data 0.002 (0.002) Loss 2.0641 (1.7072) Prec@1 45.625 (54.471) Prec@5 80.000 (83.438) Epoch: [67][6780/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.7211 (1.7072) Prec@1 58.125 (54.472) Prec@5 83.125 (83.437) Epoch: [67][6790/11272] Time 0.837 (0.774) Data 0.002 (0.002) Loss 1.8123 (1.7073) Prec@1 56.875 (54.469) Prec@5 80.625 (83.436) Epoch: [67][6800/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.6303 (1.7073) Prec@1 56.250 (54.471) Prec@5 81.875 (83.437) Epoch: [67][6810/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7763 (1.7072) Prec@1 55.625 (54.474) Prec@5 82.500 (83.437) Epoch: [67][6820/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.7206 (1.7073) Prec@1 51.250 (54.472) Prec@5 86.250 (83.436) Epoch: [67][6830/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.6778 (1.7073) Prec@1 60.625 (54.473) Prec@5 81.250 (83.435) Epoch: [67][6840/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6660 (1.7073) Prec@1 53.125 (54.472) Prec@5 86.250 (83.434) Epoch: [67][6850/11272] Time 0.729 (0.774) Data 0.002 (0.002) Loss 1.4924 (1.7073) Prec@1 63.125 (54.471) Prec@5 88.125 (83.435) Epoch: [67][6860/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.7108 (1.7072) Prec@1 50.625 (54.473) Prec@5 85.000 (83.437) Epoch: [67][6870/11272] Time 0.828 (0.774) Data 0.002 (0.002) Loss 1.6773 (1.7072) Prec@1 58.750 (54.473) Prec@5 83.750 (83.436) Epoch: [67][6880/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.5358 (1.7071) Prec@1 58.125 (54.472) Prec@5 87.500 (83.437) Epoch: [67][6890/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.5412 (1.7071) Prec@1 55.000 (54.470) Prec@5 88.750 (83.438) Epoch: [67][6900/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.7346 (1.7072) Prec@1 53.750 (54.468) Prec@5 85.625 (83.438) Epoch: [67][6910/11272] Time 0.744 (0.774) Data 0.003 (0.002) Loss 1.7354 (1.7072) Prec@1 54.375 (54.469) Prec@5 85.000 (83.438) Epoch: [67][6920/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.8631 (1.7072) Prec@1 50.000 (54.467) Prec@5 81.875 (83.438) Epoch: [67][6930/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.7898 (1.7072) Prec@1 50.625 (54.467) Prec@5 81.250 (83.439) Epoch: [67][6940/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.6663 (1.7072) Prec@1 55.000 (54.464) Prec@5 81.250 (83.439) Epoch: [67][6950/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.6719 (1.7072) Prec@1 53.125 (54.463) Prec@5 83.125 (83.438) Epoch: [67][6960/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7855 (1.7072) Prec@1 51.250 (54.462) Prec@5 83.125 (83.438) Epoch: [67][6970/11272] Time 0.861 (0.774) Data 0.001 (0.002) Loss 1.4958 (1.7071) Prec@1 61.875 (54.465) Prec@5 84.375 (83.441) Epoch: [67][6980/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.7000 (1.7071) Prec@1 55.625 (54.466) Prec@5 83.750 (83.442) Epoch: [67][6990/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.9858 (1.7072) Prec@1 45.625 (54.462) Prec@5 81.250 (83.439) Epoch: [67][7000/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.8211 (1.7071) Prec@1 52.500 (54.462) Prec@5 80.625 (83.440) Epoch: [67][7010/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.7242 (1.7072) Prec@1 55.000 (54.463) Prec@5 84.375 (83.440) Epoch: [67][7020/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.8288 (1.7073) Prec@1 56.250 (54.462) Prec@5 80.625 (83.438) Epoch: [67][7030/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.5602 (1.7072) Prec@1 57.500 (54.462) Prec@5 83.750 (83.439) Epoch: [67][7040/11272] Time 0.841 (0.774) Data 0.001 (0.002) Loss 1.5469 (1.7073) Prec@1 54.375 (54.461) Prec@5 86.250 (83.438) Epoch: [67][7050/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.6108 (1.7073) Prec@1 54.375 (54.462) Prec@5 83.750 (83.437) Epoch: [67][7060/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7709 (1.7074) Prec@1 49.375 (54.459) Prec@5 82.500 (83.436) Epoch: [67][7070/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5275 (1.7073) Prec@1 56.875 (54.461) Prec@5 87.500 (83.439) Epoch: [67][7080/11272] Time 0.868 (0.774) Data 0.001 (0.002) Loss 1.6532 (1.7074) Prec@1 55.625 (54.458) Prec@5 83.750 (83.438) Epoch: [67][7090/11272] Time 0.856 (0.774) Data 0.002 (0.002) Loss 1.6160 (1.7073) Prec@1 58.750 (54.459) Prec@5 83.750 (83.437) Epoch: [67][7100/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.7767 (1.7074) Prec@1 54.375 (54.458) Prec@5 83.125 (83.436) Epoch: [67][7110/11272] Time 0.741 (0.774) Data 0.002 (0.002) Loss 1.8405 (1.7075) Prec@1 52.500 (54.457) Prec@5 81.875 (83.436) Epoch: [67][7120/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6623 (1.7076) Prec@1 62.500 (54.455) Prec@5 81.875 (83.433) Epoch: [67][7130/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.5534 (1.7075) Prec@1 56.250 (54.456) Prec@5 87.500 (83.434) Epoch: [67][7140/11272] Time 0.696 (0.774) Data 0.001 (0.002) Loss 1.5188 (1.7075) Prec@1 56.875 (54.455) Prec@5 88.125 (83.435) Epoch: [67][7150/11272] Time 0.768 (0.774) Data 0.002 (0.002) Loss 1.7957 (1.7075) Prec@1 50.625 (54.453) Prec@5 83.750 (83.437) Epoch: [67][7160/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.9727 (1.7075) Prec@1 51.875 (54.454) Prec@5 80.000 (83.438) Epoch: [67][7170/11272] Time 0.738 (0.774) Data 0.003 (0.002) Loss 1.6369 (1.7076) Prec@1 55.000 (54.455) Prec@5 84.375 (83.436) Epoch: [67][7180/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.5999 (1.7076) Prec@1 60.000 (54.454) Prec@5 86.875 (83.437) Epoch: [67][7190/11272] Time 0.832 (0.774) Data 0.002 (0.002) Loss 1.9505 (1.7077) Prec@1 49.375 (54.451) Prec@5 76.875 (83.436) Epoch: [67][7200/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.7664 (1.7076) Prec@1 53.125 (54.454) Prec@5 79.375 (83.437) Epoch: [67][7210/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.8224 (1.7076) Prec@1 50.000 (54.453) Prec@5 82.500 (83.437) Epoch: [67][7220/11272] Time 0.739 (0.774) Data 0.003 (0.002) Loss 1.5533 (1.7075) Prec@1 55.000 (54.456) Prec@5 85.625 (83.437) Epoch: [67][7230/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.4240 (1.7075) Prec@1 65.000 (54.458) Prec@5 87.500 (83.438) Epoch: [67][7240/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.8487 (1.7074) Prec@1 50.625 (54.460) Prec@5 82.500 (83.438) Epoch: [67][7250/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6126 (1.7075) Prec@1 55.000 (54.461) Prec@5 87.500 (83.437) Epoch: [67][7260/11272] Time 0.749 (0.774) Data 0.001 (0.002) Loss 1.6851 (1.7076) Prec@1 55.625 (54.458) Prec@5 81.250 (83.434) Epoch: [67][7270/11272] Time 0.902 (0.774) Data 0.002 (0.002) Loss 1.4639 (1.7075) Prec@1 60.625 (54.460) Prec@5 85.000 (83.435) Epoch: [67][7280/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.8033 (1.7076) Prec@1 50.000 (54.455) Prec@5 81.250 (83.434) Epoch: [67][7290/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.6060 (1.7076) Prec@1 54.375 (54.455) Prec@5 85.000 (83.434) Epoch: [67][7300/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.7014 (1.7076) Prec@1 51.875 (54.455) Prec@5 83.750 (83.435) Epoch: [67][7310/11272] Time 0.858 (0.774) Data 0.002 (0.002) Loss 1.6756 (1.7076) Prec@1 53.125 (54.453) Prec@5 84.375 (83.435) Epoch: [67][7320/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.9640 (1.7076) Prec@1 51.250 (54.453) Prec@5 79.375 (83.435) Epoch: [67][7330/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.6767 (1.7076) Prec@1 56.875 (54.454) Prec@5 86.875 (83.437) Epoch: [67][7340/11272] Time 0.814 (0.774) Data 0.002 (0.002) Loss 1.5045 (1.7076) Prec@1 58.125 (54.454) Prec@5 88.750 (83.437) Epoch: [67][7350/11272] Time 0.839 (0.774) Data 0.002 (0.002) Loss 1.5102 (1.7076) Prec@1 61.875 (54.455) Prec@5 86.250 (83.438) Epoch: [67][7360/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.7752 (1.7076) Prec@1 56.250 (54.458) Prec@5 83.750 (83.438) Epoch: [67][7370/11272] Time 0.765 (0.774) Data 0.002 (0.002) Loss 1.5320 (1.7076) Prec@1 58.125 (54.458) Prec@5 87.500 (83.438) Epoch: [67][7380/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.5269 (1.7076) Prec@1 59.375 (54.457) Prec@5 87.500 (83.439) Epoch: [67][7390/11272] Time 0.850 (0.774) Data 0.002 (0.002) Loss 1.5702 (1.7076) Prec@1 58.750 (54.457) Prec@5 85.625 (83.440) Epoch: [67][7400/11272] Time 0.683 (0.774) Data 0.001 (0.002) Loss 1.5272 (1.7076) Prec@1 61.250 (54.457) Prec@5 87.500 (83.437) Epoch: [67][7410/11272] Time 0.739 (0.774) Data 0.002 (0.002) Loss 1.7335 (1.7076) Prec@1 54.375 (54.456) Prec@5 81.875 (83.437) Epoch: [67][7420/11272] Time 0.818 (0.774) Data 0.002 (0.002) Loss 1.7722 (1.7076) Prec@1 53.125 (54.458) Prec@5 77.500 (83.436) Epoch: [67][7430/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.5457 (1.7076) Prec@1 56.875 (54.458) Prec@5 84.375 (83.437) Epoch: [67][7440/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.9091 (1.7076) Prec@1 50.625 (54.458) Prec@5 81.875 (83.437) Epoch: [67][7450/11272] Time 0.862 (0.774) Data 0.001 (0.002) Loss 1.5908 (1.7075) Prec@1 60.000 (54.461) Prec@5 83.750 (83.439) Epoch: [67][7460/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.6188 (1.7076) Prec@1 56.250 (54.459) Prec@5 85.000 (83.437) Epoch: [67][7470/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.6900 (1.7076) Prec@1 56.875 (54.458) Prec@5 82.500 (83.439) Epoch: [67][7480/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6595 (1.7076) Prec@1 55.625 (54.460) Prec@5 88.750 (83.439) Epoch: [67][7490/11272] Time 0.856 (0.774) Data 0.002 (0.002) Loss 1.6377 (1.7075) Prec@1 53.125 (54.460) Prec@5 85.000 (83.441) Epoch: [67][7500/11272] Time 0.806 (0.774) Data 0.002 (0.002) Loss 1.5277 (1.7075) Prec@1 60.000 (54.461) Prec@5 86.875 (83.441) Epoch: [67][7510/11272] Time 0.715 (0.774) Data 0.002 (0.002) Loss 1.6019 (1.7074) Prec@1 60.000 (54.462) Prec@5 85.000 (83.442) Epoch: [67][7520/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.5597 (1.7074) Prec@1 55.625 (54.462) Prec@5 86.250 (83.442) Epoch: [67][7530/11272] Time 0.834 (0.774) Data 0.002 (0.002) Loss 1.8140 (1.7075) Prec@1 51.250 (54.461) Prec@5 82.500 (83.442) Epoch: [67][7540/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.5225 (1.7075) Prec@1 58.750 (54.462) Prec@5 88.750 (83.442) Epoch: [67][7550/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.5522 (1.7074) Prec@1 56.250 (54.463) Prec@5 85.625 (83.442) Epoch: [67][7560/11272] Time 0.701 (0.774) Data 0.001 (0.002) Loss 1.8323 (1.7074) Prec@1 53.125 (54.465) Prec@5 76.875 (83.443) Epoch: [67][7570/11272] Time 0.831 (0.774) Data 0.002 (0.002) Loss 1.8090 (1.7074) Prec@1 50.625 (54.465) Prec@5 81.875 (83.442) Epoch: [67][7580/11272] Time 0.685 (0.774) Data 0.001 (0.002) Loss 1.8111 (1.7075) Prec@1 48.750 (54.462) Prec@5 82.500 (83.442) Epoch: [67][7590/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.9170 (1.7075) Prec@1 50.000 (54.460) Prec@5 80.625 (83.442) Epoch: [67][7600/11272] Time 0.853 (0.774) Data 0.001 (0.002) Loss 1.7772 (1.7076) Prec@1 51.250 (54.457) Prec@5 80.625 (83.440) Epoch: [67][7610/11272] Time 0.852 (0.774) Data 0.002 (0.002) Loss 1.6998 (1.7077) Prec@1 51.875 (54.455) Prec@5 81.250 (83.440) Epoch: [67][7620/11272] Time 0.717 (0.774) Data 0.002 (0.002) Loss 1.8663 (1.7077) Prec@1 51.875 (54.455) Prec@5 79.375 (83.439) Epoch: [67][7630/11272] Time 0.743 (0.774) Data 0.002 (0.002) Loss 1.6584 (1.7077) Prec@1 56.875 (54.455) Prec@5 81.875 (83.440) Epoch: [67][7640/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.5115 (1.7077) Prec@1 58.125 (54.457) Prec@5 88.125 (83.441) Epoch: [67][7650/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.6929 (1.7077) Prec@1 58.125 (54.457) Prec@5 82.500 (83.440) Epoch: [67][7660/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7463 (1.7078) Prec@1 55.000 (54.454) Prec@5 85.625 (83.439) Epoch: [67][7670/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 2.0308 (1.7078) Prec@1 43.750 (54.453) Prec@5 78.125 (83.439) Epoch: [67][7680/11272] Time 0.854 (0.774) Data 0.002 (0.002) Loss 1.5920 (1.7078) Prec@1 55.625 (54.453) Prec@5 86.875 (83.439) Epoch: [67][7690/11272] Time 0.868 (0.774) Data 0.002 (0.002) Loss 1.6144 (1.7077) Prec@1 55.625 (54.454) Prec@5 83.750 (83.439) Epoch: [67][7700/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.4319 (1.7077) Prec@1 65.625 (54.456) Prec@5 89.375 (83.439) Epoch: [67][7710/11272] Time 0.784 (0.774) Data 0.001 (0.002) Loss 1.8084 (1.7078) Prec@1 48.125 (54.455) Prec@5 83.750 (83.438) Epoch: [67][7720/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.5876 (1.7078) Prec@1 51.250 (54.454) Prec@5 86.875 (83.438) Epoch: [67][7730/11272] Time 0.691 (0.774) Data 0.001 (0.002) Loss 1.7657 (1.7078) Prec@1 55.000 (54.453) Prec@5 84.375 (83.437) Epoch: [67][7740/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6264 (1.7078) Prec@1 55.625 (54.452) Prec@5 85.000 (83.436) Epoch: [67][7750/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 2.1103 (1.7078) Prec@1 45.000 (54.452) Prec@5 78.750 (83.439) Epoch: [67][7760/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 1.6254 (1.7077) Prec@1 60.625 (54.455) Prec@5 83.125 (83.439) Epoch: [67][7770/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.6578 (1.7078) Prec@1 57.500 (54.455) Prec@5 81.875 (83.438) Epoch: [67][7780/11272] Time 0.724 (0.774) Data 0.002 (0.002) Loss 1.4591 (1.7077) Prec@1 61.250 (54.456) Prec@5 87.500 (83.439) Epoch: [67][7790/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.7041 (1.7078) Prec@1 58.125 (54.454) Prec@5 81.875 (83.436) Epoch: [67][7800/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.7459 (1.7078) Prec@1 56.875 (54.454) Prec@5 82.500 (83.436) Epoch: [67][7810/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.6375 (1.7079) Prec@1 58.750 (54.452) Prec@5 81.875 (83.435) Epoch: [67][7820/11272] Time 0.694 (0.774) Data 0.001 (0.002) Loss 1.7016 (1.7078) Prec@1 53.125 (54.453) Prec@5 85.000 (83.436) Epoch: [67][7830/11272] Time 0.873 (0.774) Data 0.002 (0.002) Loss 1.6678 (1.7078) Prec@1 56.875 (54.451) Prec@5 83.750 (83.436) Epoch: [67][7840/11272] Time 0.713 (0.774) Data 0.003 (0.002) Loss 1.4983 (1.7077) Prec@1 58.750 (54.454) Prec@5 88.125 (83.436) Epoch: [67][7850/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.6224 (1.7078) Prec@1 58.750 (54.453) Prec@5 86.250 (83.436) Epoch: [67][7860/11272] Time 0.816 (0.774) Data 0.002 (0.002) Loss 1.8397 (1.7079) Prec@1 51.875 (54.452) Prec@5 80.000 (83.436) Epoch: [67][7870/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.6564 (1.7079) Prec@1 56.875 (54.451) Prec@5 85.000 (83.436) Epoch: [67][7880/11272] Time 0.742 (0.774) Data 0.001 (0.002) Loss 1.9517 (1.7080) Prec@1 48.750 (54.449) Prec@5 77.500 (83.435) Epoch: [67][7890/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.7646 (1.7080) Prec@1 52.500 (54.447) Prec@5 83.125 (83.434) Epoch: [67][7900/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.8063 (1.7079) Prec@1 51.250 (54.451) Prec@5 85.000 (83.436) Epoch: [67][7910/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.8084 (1.7079) Prec@1 46.875 (54.450) Prec@5 84.375 (83.436) Epoch: [67][7920/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.6626 (1.7079) Prec@1 52.500 (54.448) Prec@5 88.125 (83.437) Epoch: [67][7930/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.7224 (1.7079) Prec@1 53.125 (54.447) Prec@5 81.250 (83.437) Epoch: [67][7940/11272] Time 0.836 (0.774) Data 0.001 (0.002) Loss 1.6868 (1.7079) Prec@1 55.000 (54.444) Prec@5 83.750 (83.438) Epoch: [67][7950/11272] Time 0.839 (0.774) Data 0.002 (0.002) Loss 1.5408 (1.7080) Prec@1 58.750 (54.442) Prec@5 84.375 (83.437) Epoch: [67][7960/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.5581 (1.7079) Prec@1 55.625 (54.442) Prec@5 82.500 (83.436) Epoch: [67][7970/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.6324 (1.7080) Prec@1 53.750 (54.441) Prec@5 84.375 (83.435) Epoch: [67][7980/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.4366 (1.7080) Prec@1 62.500 (54.440) Prec@5 81.250 (83.434) Epoch: [67][7990/11272] Time 0.763 (0.774) Data 0.001 (0.002) Loss 1.6369 (1.7080) Prec@1 55.000 (54.439) Prec@5 85.625 (83.433) Epoch: [67][8000/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6811 (1.7080) Prec@1 53.125 (54.437) Prec@5 84.375 (83.434) Epoch: [67][8010/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.6340 (1.7081) Prec@1 56.875 (54.435) Prec@5 86.875 (83.432) Epoch: [67][8020/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.7540 (1.7081) Prec@1 54.375 (54.435) Prec@5 81.250 (83.431) Epoch: [67][8030/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.9342 (1.7083) Prec@1 48.750 (54.431) Prec@5 74.375 (83.427) Epoch: [67][8040/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.8364 (1.7083) Prec@1 56.875 (54.430) Prec@5 84.375 (83.427) Epoch: [67][8050/11272] Time 0.854 (0.774) Data 0.002 (0.002) Loss 1.5953 (1.7083) Prec@1 53.750 (54.429) Prec@5 86.250 (83.429) Epoch: [67][8060/11272] Time 0.835 (0.774) Data 0.002 (0.002) Loss 1.6760 (1.7083) Prec@1 53.125 (54.428) Prec@5 86.250 (83.428) Epoch: [67][8070/11272] Time 0.774 (0.774) Data 0.002 (0.002) Loss 1.6622 (1.7083) Prec@1 56.875 (54.427) Prec@5 85.625 (83.429) Epoch: [67][8080/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.8259 (1.7083) Prec@1 51.250 (54.427) Prec@5 80.625 (83.428) Epoch: [67][8090/11272] Time 0.828 (0.774) Data 0.002 (0.002) Loss 1.6028 (1.7083) Prec@1 57.500 (54.428) Prec@5 88.125 (83.428) Epoch: [67][8100/11272] Time 0.718 (0.774) Data 0.003 (0.002) Loss 1.7526 (1.7083) Prec@1 56.250 (54.426) Prec@5 83.750 (83.428) Epoch: [67][8110/11272] Time 0.760 (0.774) Data 0.002 (0.002) Loss 1.8625 (1.7084) Prec@1 48.750 (54.427) Prec@5 76.875 (83.427) Epoch: [67][8120/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.8473 (1.7084) Prec@1 48.125 (54.426) Prec@5 81.250 (83.426) Epoch: [67][8130/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.6217 (1.7084) Prec@1 58.750 (54.425) Prec@5 85.625 (83.427) Epoch: [67][8140/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.7158 (1.7084) Prec@1 53.125 (54.426) Prec@5 83.750 (83.428) Epoch: [67][8150/11272] Time 0.720 (0.774) Data 0.002 (0.002) Loss 1.5303 (1.7083) Prec@1 58.750 (54.430) Prec@5 84.375 (83.428) Epoch: [67][8160/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.5831 (1.7084) Prec@1 59.375 (54.428) Prec@5 86.250 (83.428) Epoch: [67][8170/11272] Time 0.858 (0.774) Data 0.002 (0.002) Loss 1.7370 (1.7084) Prec@1 55.625 (54.428) Prec@5 80.625 (83.428) Epoch: [67][8180/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.8536 (1.7084) Prec@1 51.875 (54.429) Prec@5 85.000 (83.429) Epoch: [67][8190/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.5521 (1.7083) Prec@1 58.750 (54.429) Prec@5 83.750 (83.430) Epoch: [67][8200/11272] Time 0.794 (0.774) Data 0.001 (0.002) Loss 1.6279 (1.7083) Prec@1 58.750 (54.431) Prec@5 85.000 (83.429) Epoch: [67][8210/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.5750 (1.7083) Prec@1 51.875 (54.429) Prec@5 86.250 (83.430) Epoch: [67][8220/11272] Time 0.697 (0.774) Data 0.001 (0.002) Loss 1.6474 (1.7083) Prec@1 51.250 (54.428) Prec@5 84.375 (83.431) Epoch: [67][8230/11272] Time 0.873 (0.774) Data 0.001 (0.002) Loss 1.8222 (1.7084) Prec@1 49.375 (54.427) Prec@5 81.875 (83.429) Epoch: [67][8240/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.7767 (1.7083) Prec@1 50.000 (54.427) Prec@5 83.125 (83.429) Epoch: [67][8250/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6899 (1.7083) Prec@1 53.750 (54.428) Prec@5 82.500 (83.431) Epoch: [67][8260/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.5305 (1.7082) Prec@1 58.125 (54.428) Prec@5 86.250 (83.432) Epoch: [67][8270/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.6953 (1.7082) Prec@1 54.375 (54.429) Prec@5 81.250 (83.432) Epoch: [67][8280/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.7186 (1.7081) Prec@1 56.875 (54.431) Prec@5 82.500 (83.435) Epoch: [67][8290/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6303 (1.7081) Prec@1 52.500 (54.432) Prec@5 84.375 (83.436) Epoch: [67][8300/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.7808 (1.7081) Prec@1 55.625 (54.431) Prec@5 79.375 (83.435) Epoch: [67][8310/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.7713 (1.7081) Prec@1 55.625 (54.432) Prec@5 81.250 (83.435) Epoch: [67][8320/11272] Time 0.813 (0.774) Data 0.002 (0.002) Loss 1.6672 (1.7081) Prec@1 56.250 (54.433) Prec@5 83.125 (83.436) Epoch: [67][8330/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.7067 (1.7080) Prec@1 56.250 (54.433) Prec@5 86.250 (83.437) Epoch: [67][8340/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7716 (1.7080) Prec@1 55.625 (54.432) Prec@5 80.625 (83.438) Epoch: [67][8350/11272] Time 0.817 (0.774) Data 0.002 (0.002) Loss 1.7595 (1.7081) Prec@1 50.000 (54.432) Prec@5 85.625 (83.436) Epoch: [67][8360/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.4701 (1.7080) Prec@1 63.125 (54.433) Prec@5 86.875 (83.438) Epoch: [67][8370/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.5303 (1.7080) Prec@1 59.375 (54.434) Prec@5 85.625 (83.436) Epoch: [67][8380/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.5441 (1.7079) Prec@1 54.375 (54.436) Prec@5 83.750 (83.437) Epoch: [67][8390/11272] Time 0.841 (0.774) Data 0.001 (0.002) Loss 1.6960 (1.7079) Prec@1 55.000 (54.437) Prec@5 86.875 (83.438) Epoch: [67][8400/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.7629 (1.7080) Prec@1 58.125 (54.437) Prec@5 82.500 (83.438) Epoch: [67][8410/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.9491 (1.7080) Prec@1 45.625 (54.436) Prec@5 80.000 (83.438) Epoch: [67][8420/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8005 (1.7080) Prec@1 49.375 (54.436) Prec@5 83.125 (83.437) Epoch: [67][8430/11272] Time 0.860 (0.774) Data 0.002 (0.002) Loss 1.8094 (1.7081) Prec@1 53.750 (54.433) Prec@5 78.750 (83.434) Epoch: [67][8440/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.4349 (1.7081) Prec@1 58.750 (54.434) Prec@5 88.750 (83.435) Epoch: [67][8450/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.6657 (1.7080) Prec@1 56.250 (54.434) Prec@5 86.250 (83.437) Epoch: [67][8460/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.5875 (1.7080) Prec@1 56.250 (54.433) Prec@5 87.500 (83.437) Epoch: [67][8470/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.7031 (1.7081) Prec@1 54.375 (54.435) Prec@5 85.625 (83.435) Epoch: [67][8480/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.7647 (1.7081) Prec@1 46.875 (54.434) Prec@5 83.750 (83.435) Epoch: [67][8490/11272] Time 0.749 (0.774) Data 0.001 (0.002) Loss 1.7192 (1.7082) Prec@1 52.500 (54.432) Prec@5 85.625 (83.434) Epoch: [67][8500/11272] Time 0.834 (0.774) Data 0.002 (0.002) Loss 1.8600 (1.7082) Prec@1 48.750 (54.431) Prec@5 84.375 (83.433) Epoch: [67][8510/11272] Time 0.730 (0.774) Data 0.002 (0.002) Loss 1.7413 (1.7082) Prec@1 52.500 (54.431) Prec@5 80.625 (83.433) Epoch: [67][8520/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.7033 (1.7082) Prec@1 57.500 (54.432) Prec@5 80.625 (83.434) Epoch: [67][8530/11272] Time 0.818 (0.774) Data 0.002 (0.002) Loss 1.8097 (1.7082) Prec@1 55.625 (54.433) Prec@5 81.250 (83.432) Epoch: [67][8540/11272] Time 0.785 (0.774) Data 0.001 (0.002) Loss 1.8505 (1.7083) Prec@1 50.625 (54.431) Prec@5 78.125 (83.432) Epoch: [67][8550/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.4558 (1.7083) Prec@1 60.000 (54.430) Prec@5 87.500 (83.431) Epoch: [67][8560/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.5897 (1.7083) Prec@1 60.625 (54.431) Prec@5 89.375 (83.431) Epoch: [67][8570/11272] Time 0.843 (0.774) Data 0.002 (0.002) Loss 1.7134 (1.7082) Prec@1 53.125 (54.432) Prec@5 85.625 (83.432) Epoch: [67][8580/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8426 (1.7082) Prec@1 46.250 (54.432) Prec@5 80.625 (83.432) Epoch: [67][8590/11272] Time 0.788 (0.774) Data 0.002 (0.002) Loss 1.8959 (1.7082) Prec@1 49.375 (54.429) Prec@5 82.500 (83.431) Epoch: [67][8600/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7885 (1.7083) Prec@1 53.750 (54.428) Prec@5 82.500 (83.430) Epoch: [67][8610/11272] Time 0.863 (0.774) Data 0.002 (0.002) Loss 1.7914 (1.7084) Prec@1 46.250 (54.428) Prec@5 82.500 (83.430) Epoch: [67][8620/11272] Time 0.787 (0.774) Data 0.001 (0.002) Loss 1.7549 (1.7084) Prec@1 55.625 (54.429) Prec@5 83.125 (83.429) Epoch: [67][8630/11272] Time 0.720 (0.774) Data 0.002 (0.002) Loss 1.6417 (1.7084) Prec@1 55.625 (54.430) Prec@5 85.625 (83.429) Epoch: [67][8640/11272] Time 0.749 (0.774) Data 0.001 (0.002) Loss 1.9436 (1.7084) Prec@1 49.375 (54.429) Prec@5 80.625 (83.428) Epoch: [67][8650/11272] Time 0.841 (0.774) Data 0.001 (0.002) Loss 1.8020 (1.7085) Prec@1 50.000 (54.427) Prec@5 83.125 (83.429) Epoch: [67][8660/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.7933 (1.7086) Prec@1 55.625 (54.425) Prec@5 81.250 (83.427) Epoch: [67][8670/11272] Time 0.787 (0.774) Data 0.001 (0.002) Loss 1.3861 (1.7086) Prec@1 66.250 (54.427) Prec@5 89.375 (83.428) Epoch: [67][8680/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.7264 (1.7085) Prec@1 53.750 (54.429) Prec@5 83.750 (83.428) Epoch: [67][8690/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.8744 (1.7086) Prec@1 48.125 (54.426) Prec@5 81.250 (83.427) Epoch: [67][8700/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5124 (1.7086) Prec@1 59.375 (54.427) Prec@5 86.250 (83.426) Epoch: [67][8710/11272] Time 0.774 (0.774) Data 0.002 (0.002) Loss 1.7076 (1.7086) Prec@1 50.625 (54.427) Prec@5 85.000 (83.427) Epoch: [67][8720/11272] Time 0.850 (0.774) Data 0.001 (0.002) Loss 1.5522 (1.7086) Prec@1 63.125 (54.427) Prec@5 84.375 (83.428) Epoch: [67][8730/11272] Time 0.841 (0.774) Data 0.002 (0.002) Loss 1.7708 (1.7087) Prec@1 54.375 (54.425) Prec@5 81.250 (83.426) Epoch: [67][8740/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6601 (1.7086) Prec@1 53.750 (54.425) Prec@5 86.875 (83.427) Epoch: [67][8750/11272] Time 0.769 (0.774) Data 0.002 (0.002) Loss 1.4561 (1.7086) Prec@1 58.750 (54.425) Prec@5 86.875 (83.427) Epoch: [67][8760/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.9471 (1.7087) Prec@1 51.875 (54.423) Prec@5 79.375 (83.426) Epoch: [67][8770/11272] Time 0.700 (0.774) Data 0.003 (0.002) Loss 1.8233 (1.7087) Prec@1 50.000 (54.423) Prec@5 81.250 (83.426) Epoch: [67][8780/11272] Time 0.693 (0.774) Data 0.001 (0.002) Loss 1.6502 (1.7087) Prec@1 56.250 (54.421) Prec@5 85.625 (83.427) Epoch: [67][8790/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 1.8197 (1.7087) Prec@1 55.625 (54.420) Prec@5 80.000 (83.426) Epoch: [67][8800/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.6000 (1.7088) Prec@1 58.125 (54.419) Prec@5 84.375 (83.425) Epoch: [67][8810/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.7802 (1.7088) Prec@1 53.750 (54.419) Prec@5 80.625 (83.425) Epoch: [67][8820/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5814 (1.7088) Prec@1 53.750 (54.416) Prec@5 88.750 (83.425) Epoch: [67][8830/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.7906 (1.7089) Prec@1 56.250 (54.415) Prec@5 81.875 (83.424) Epoch: [67][8840/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.7133 (1.7089) Prec@1 54.375 (54.415) Prec@5 82.500 (83.425) Epoch: [67][8850/11272] Time 0.733 (0.774) Data 0.002 (0.002) Loss 1.7088 (1.7089) Prec@1 56.875 (54.415) Prec@5 85.625 (83.424) Epoch: [67][8860/11272] Time 0.742 (0.774) Data 0.002 (0.002) Loss 1.4874 (1.7089) Prec@1 63.750 (54.417) Prec@5 82.500 (83.425) Epoch: [67][8870/11272] Time 0.824 (0.774) Data 0.002 (0.002) Loss 1.6743 (1.7089) Prec@1 56.250 (54.416) Prec@5 84.375 (83.423) Epoch: [67][8880/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.5328 (1.7089) Prec@1 59.375 (54.416) Prec@5 87.500 (83.423) Epoch: [67][8890/11272] Time 0.749 (0.774) Data 0.002 (0.002) Loss 1.7043 (1.7090) Prec@1 53.125 (54.415) Prec@5 81.250 (83.424) Epoch: [67][8900/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.8410 (1.7090) Prec@1 52.500 (54.414) Prec@5 78.750 (83.424) Epoch: [67][8910/11272] Time 0.882 (0.774) Data 0.002 (0.002) Loss 1.7895 (1.7090) Prec@1 49.375 (54.415) Prec@5 81.875 (83.424) Epoch: [67][8920/11272] Time 0.701 (0.774) Data 0.001 (0.002) Loss 1.5754 (1.7090) Prec@1 55.625 (54.415) Prec@5 87.500 (83.424) Epoch: [67][8930/11272] Time 0.738 (0.774) Data 0.002 (0.002) Loss 1.6195 (1.7090) Prec@1 53.750 (54.415) Prec@5 85.000 (83.422) Epoch: [67][8940/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.8316 (1.7091) Prec@1 48.750 (54.414) Prec@5 80.000 (83.422) Epoch: [67][8950/11272] Time 0.840 (0.774) Data 0.002 (0.002) Loss 1.5305 (1.7090) Prec@1 61.250 (54.414) Prec@5 87.500 (83.423) Epoch: [67][8960/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.9104 (1.7091) Prec@1 48.125 (54.411) Prec@5 80.000 (83.423) Epoch: [67][8970/11272] Time 0.732 (0.774) Data 0.002 (0.002) Loss 1.4894 (1.7090) Prec@1 59.375 (54.410) Prec@5 87.500 (83.423) Epoch: [67][8980/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6379 (1.7090) Prec@1 55.000 (54.410) Prec@5 86.250 (83.424) Epoch: [67][8990/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.5071 (1.7090) Prec@1 59.375 (54.410) Prec@5 88.125 (83.423) Epoch: [67][9000/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.7995 (1.7090) Prec@1 52.500 (54.410) Prec@5 80.000 (83.423) Epoch: [67][9010/11272] Time 0.772 (0.774) Data 0.002 (0.002) Loss 1.9453 (1.7090) Prec@1 46.875 (54.410) Prec@5 83.750 (83.423) Epoch: [67][9020/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.7396 (1.7090) Prec@1 50.625 (54.410) Prec@5 82.500 (83.423) Epoch: [67][9030/11272] Time 0.734 (0.774) Data 0.003 (0.002) Loss 1.7414 (1.7090) Prec@1 54.375 (54.410) Prec@5 78.750 (83.423) Epoch: [67][9040/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.6305 (1.7090) Prec@1 58.750 (54.410) Prec@5 81.875 (83.424) Epoch: [67][9050/11272] Time 0.821 (0.774) Data 0.002 (0.002) Loss 1.7509 (1.7091) Prec@1 51.250 (54.409) Prec@5 84.375 (83.421) Epoch: [67][9060/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.8435 (1.7091) Prec@1 51.875 (54.408) Prec@5 85.000 (83.422) Epoch: [67][9070/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.6291 (1.7090) Prec@1 61.875 (54.410) Prec@5 87.500 (83.425) Epoch: [67][9080/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7508 (1.7090) Prec@1 54.375 (54.409) Prec@5 80.625 (83.423) Epoch: [67][9090/11272] Time 0.846 (0.774) Data 0.001 (0.002) Loss 1.5619 (1.7090) Prec@1 53.750 (54.410) Prec@5 90.000 (83.424) Epoch: [67][9100/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.4629 (1.7089) Prec@1 56.250 (54.412) Prec@5 90.000 (83.425) Epoch: [67][9110/11272] Time 0.800 (0.774) Data 0.002 (0.002) Loss 1.7837 (1.7089) Prec@1 52.500 (54.413) Prec@5 81.250 (83.425) Epoch: [67][9120/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.8378 (1.7089) Prec@1 54.375 (54.414) Prec@5 78.125 (83.425) Epoch: [67][9130/11272] Time 0.906 (0.774) Data 0.002 (0.002) Loss 1.8690 (1.7090) Prec@1 50.000 (54.412) Prec@5 81.875 (83.423) Epoch: [67][9140/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.8615 (1.7090) Prec@1 53.750 (54.411) Prec@5 80.000 (83.423) Epoch: [67][9150/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 2.0411 (1.7090) Prec@1 50.625 (54.411) Prec@5 75.625 (83.423) Epoch: [67][9160/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6973 (1.7090) Prec@1 51.875 (54.411) Prec@5 85.000 (83.423) Epoch: [67][9170/11272] Time 0.867 (0.774) Data 0.001 (0.002) Loss 1.9417 (1.7091) Prec@1 50.000 (54.409) Prec@5 80.625 (83.422) Epoch: [67][9180/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5128 (1.7092) Prec@1 59.375 (54.410) Prec@5 85.625 (83.421) Epoch: [67][9190/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7574 (1.7092) Prec@1 56.875 (54.410) Prec@5 82.500 (83.420) Epoch: [67][9200/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.4505 (1.7092) Prec@1 63.125 (54.409) Prec@5 88.750 (83.420) Epoch: [67][9210/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.4937 (1.7092) Prec@1 59.375 (54.410) Prec@5 88.125 (83.420) Epoch: [67][9220/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.9022 (1.7093) Prec@1 50.000 (54.409) Prec@5 80.625 (83.418) Epoch: [67][9230/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.7055 (1.7093) Prec@1 51.875 (54.409) Prec@5 82.500 (83.419) Epoch: [67][9240/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.8868 (1.7093) Prec@1 45.000 (54.409) Prec@5 80.625 (83.420) Epoch: [67][9250/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.6871 (1.7092) Prec@1 54.375 (54.411) Prec@5 85.625 (83.421) Epoch: [67][9260/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.6663 (1.7092) Prec@1 53.750 (54.411) Prec@5 85.000 (83.422) Epoch: [67][9270/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.8728 (1.7093) Prec@1 53.750 (54.408) Prec@5 80.625 (83.420) Epoch: [67][9280/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.7054 (1.7094) Prec@1 50.625 (54.405) Prec@5 80.000 (83.417) Epoch: [67][9290/11272] Time 0.866 (0.774) Data 0.001 (0.002) Loss 1.6090 (1.7094) Prec@1 56.250 (54.404) Prec@5 84.375 (83.417) Epoch: [67][9300/11272] Time 0.700 (0.774) Data 0.001 (0.002) Loss 1.6147 (1.7094) Prec@1 51.250 (54.405) Prec@5 88.125 (83.418) Epoch: [67][9310/11272] Time 0.850 (0.774) Data 0.002 (0.002) Loss 1.8238 (1.7094) Prec@1 55.000 (54.406) Prec@5 83.125 (83.417) Epoch: [67][9320/11272] Time 0.855 (0.774) Data 0.003 (0.002) Loss 1.4240 (1.7094) Prec@1 58.125 (54.405) Prec@5 90.000 (83.417) Epoch: [67][9330/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.6508 (1.7095) Prec@1 57.500 (54.404) Prec@5 82.500 (83.416) Epoch: [67][9340/11272] Time 0.687 (0.774) Data 0.001 (0.002) Loss 1.6498 (1.7094) Prec@1 52.500 (54.405) Prec@5 85.625 (83.416) Epoch: [67][9350/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.8126 (1.7094) Prec@1 53.125 (54.403) Prec@5 80.625 (83.416) Epoch: [67][9360/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.7681 (1.7095) Prec@1 53.125 (54.403) Prec@5 82.500 (83.415) Epoch: [67][9370/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.6553 (1.7095) Prec@1 57.500 (54.403) Prec@5 85.000 (83.414) Epoch: [67][9380/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.6122 (1.7096) Prec@1 58.125 (54.402) Prec@5 82.500 (83.413) Epoch: [67][9390/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.7442 (1.7096) Prec@1 56.875 (54.402) Prec@5 84.375 (83.412) Epoch: [67][9400/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.7131 (1.7096) Prec@1 53.125 (54.402) Prec@5 82.500 (83.412) Epoch: [67][9410/11272] Time 0.755 (0.774) Data 0.002 (0.002) Loss 1.7663 (1.7097) Prec@1 60.625 (54.402) Prec@5 83.125 (83.411) Epoch: [67][9420/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.7279 (1.7096) Prec@1 50.625 (54.403) Prec@5 81.250 (83.412) Epoch: [67][9430/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.8235 (1.7097) Prec@1 50.000 (54.401) Prec@5 83.125 (83.412) Epoch: [67][9440/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.6338 (1.7097) Prec@1 55.625 (54.399) Prec@5 84.375 (83.411) Epoch: [67][9450/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.7372 (1.7097) Prec@1 56.250 (54.399) Prec@5 83.125 (83.412) Epoch: [67][9460/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.7888 (1.7097) Prec@1 54.375 (54.400) Prec@5 80.000 (83.412) Epoch: [67][9470/11272] Time 0.869 (0.774) Data 0.002 (0.002) Loss 1.7820 (1.7097) Prec@1 53.125 (54.400) Prec@5 80.625 (83.411) Epoch: [67][9480/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6973 (1.7097) Prec@1 50.625 (54.399) Prec@5 85.000 (83.411) Epoch: [67][9490/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 2.0241 (1.7098) Prec@1 45.000 (54.399) Prec@5 79.375 (83.412) Epoch: [67][9500/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.7529 (1.7098) Prec@1 53.750 (54.399) Prec@5 81.250 (83.411) Epoch: [67][9510/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.8441 (1.7099) Prec@1 51.875 (54.397) Prec@5 76.250 (83.407) Epoch: [67][9520/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7999 (1.7099) Prec@1 54.375 (54.399) Prec@5 80.625 (83.408) Epoch: [67][9530/11272] Time 0.757 (0.774) Data 0.001 (0.002) Loss 1.6013 (1.7098) Prec@1 56.875 (54.401) Prec@5 85.625 (83.408) Epoch: [67][9540/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.4636 (1.7098) Prec@1 57.500 (54.403) Prec@5 88.750 (83.409) Epoch: [67][9550/11272] Time 0.826 (0.774) Data 0.002 (0.002) Loss 1.7250 (1.7098) Prec@1 53.750 (54.404) Prec@5 83.125 (83.409) Epoch: [67][9560/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.5283 (1.7097) Prec@1 55.625 (54.406) Prec@5 85.000 (83.410) Epoch: [67][9570/11272] Time 0.888 (0.774) Data 0.001 (0.002) Loss 1.8756 (1.7097) Prec@1 50.000 (54.406) Prec@5 80.625 (83.410) Epoch: [67][9580/11272] Time 0.800 (0.774) Data 0.002 (0.002) Loss 1.6618 (1.7097) Prec@1 54.375 (54.405) Prec@5 85.625 (83.411) Epoch: [67][9590/11272] Time 0.753 (0.774) Data 0.002 (0.002) Loss 1.7275 (1.7097) Prec@1 55.000 (54.402) Prec@5 85.625 (83.410) Epoch: [67][9600/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.5931 (1.7097) Prec@1 60.000 (54.403) Prec@5 79.375 (83.409) Epoch: [67][9610/11272] Time 0.853 (0.774) Data 0.002 (0.002) Loss 1.5637 (1.7097) Prec@1 57.500 (54.403) Prec@5 85.000 (83.411) Epoch: [67][9620/11272] Time 0.849 (0.774) Data 0.002 (0.002) Loss 1.8900 (1.7096) Prec@1 53.125 (54.405) Prec@5 83.750 (83.412) Epoch: [67][9630/11272] Time 0.733 (0.774) Data 0.002 (0.002) Loss 1.7954 (1.7096) Prec@1 52.500 (54.405) Prec@5 83.750 (83.413) Epoch: [67][9640/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.9262 (1.7096) Prec@1 45.625 (54.404) Prec@5 83.750 (83.413) Epoch: [67][9650/11272] Time 0.839 (0.774) Data 0.002 (0.002) Loss 1.4618 (1.7097) Prec@1 53.750 (54.402) Prec@5 89.375 (83.412) Epoch: [67][9660/11272] Time 0.797 (0.774) Data 0.001 (0.002) Loss 1.4401 (1.7097) Prec@1 59.375 (54.401) Prec@5 86.875 (83.412) Epoch: [67][9670/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.7075 (1.7097) Prec@1 55.000 (54.404) Prec@5 83.125 (83.413) Epoch: [67][9680/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.8290 (1.7096) Prec@1 51.250 (54.405) Prec@5 80.000 (83.413) Epoch: [67][9690/11272] Time 0.787 (0.774) Data 0.001 (0.002) Loss 1.4563 (1.7097) Prec@1 62.500 (54.404) Prec@5 85.625 (83.413) Epoch: [67][9700/11272] Time 0.704 (0.774) Data 0.003 (0.002) Loss 1.7138 (1.7098) Prec@1 52.500 (54.401) Prec@5 88.125 (83.413) Epoch: [67][9710/11272] Time 0.769 (0.774) Data 0.002 (0.002) Loss 1.6420 (1.7098) Prec@1 55.000 (54.401) Prec@5 84.375 (83.412) Epoch: [67][9720/11272] Time 0.845 (0.774) Data 0.002 (0.002) Loss 1.6553 (1.7098) Prec@1 52.500 (54.401) Prec@5 88.125 (83.411) Epoch: [67][9730/11272] Time 0.841 (0.774) Data 0.002 (0.002) Loss 1.6898 (1.7099) Prec@1 49.375 (54.399) Prec@5 85.625 (83.411) Epoch: [67][9740/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.8953 (1.7099) Prec@1 48.750 (54.397) Prec@5 80.000 (83.410) Epoch: [67][9750/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.7947 (1.7099) Prec@1 53.750 (54.399) Prec@5 83.750 (83.411) Epoch: [67][9760/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6215 (1.7099) Prec@1 59.375 (54.399) Prec@5 85.000 (83.410) Epoch: [67][9770/11272] Time 0.841 (0.774) Data 0.002 (0.002) Loss 1.6035 (1.7099) Prec@1 55.625 (54.398) Prec@5 84.375 (83.411) Epoch: [67][9780/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7343 (1.7099) Prec@1 53.125 (54.399) Prec@5 83.750 (83.411) Epoch: [67][9790/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.5813 (1.7099) Prec@1 55.625 (54.397) Prec@5 86.250 (83.411) Epoch: [67][9800/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.7993 (1.7100) Prec@1 56.250 (54.397) Prec@5 81.875 (83.410) Epoch: [67][9810/11272] Time 0.903 (0.774) Data 0.002 (0.002) Loss 2.0683 (1.7100) Prec@1 53.125 (54.397) Prec@5 77.500 (83.408) Epoch: [67][9820/11272] Time 0.699 (0.774) Data 0.002 (0.002) Loss 1.7229 (1.7100) Prec@1 59.375 (54.397) Prec@5 83.750 (83.410) Epoch: [67][9830/11272] Time 0.871 (0.774) Data 0.001 (0.002) Loss 1.5240 (1.7100) Prec@1 58.125 (54.397) Prec@5 86.875 (83.409) Epoch: [67][9840/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.4956 (1.7100) Prec@1 60.625 (54.396) Prec@5 88.125 (83.410) Epoch: [67][9850/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.8103 (1.7100) Prec@1 50.625 (54.396) Prec@5 81.250 (83.409) Epoch: [67][9860/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.7332 (1.7100) Prec@1 52.500 (54.395) Prec@5 83.750 (83.409) Epoch: [67][9870/11272] Time 0.831 (0.774) Data 0.002 (0.002) Loss 1.6136 (1.7100) Prec@1 60.625 (54.397) Prec@5 83.125 (83.408) Epoch: [67][9880/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.7092 (1.7101) Prec@1 51.250 (54.395) Prec@5 85.000 (83.406) Epoch: [67][9890/11272] Time 0.740 (0.774) Data 0.002 (0.002) Loss 1.7051 (1.7102) Prec@1 54.375 (54.393) Prec@5 81.250 (83.405) Epoch: [67][9900/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.7782 (1.7102) Prec@1 56.250 (54.393) Prec@5 80.625 (83.404) Epoch: [67][9910/11272] Time 0.841 (0.774) Data 0.002 (0.002) Loss 1.7204 (1.7102) Prec@1 49.375 (54.393) Prec@5 84.375 (83.405) Epoch: [67][9920/11272] Time 0.797 (0.774) Data 0.001 (0.002) Loss 1.7806 (1.7102) Prec@1 52.500 (54.395) Prec@5 81.875 (83.405) Epoch: [67][9930/11272] Time 0.722 (0.774) Data 0.002 (0.002) Loss 1.4932 (1.7101) Prec@1 62.500 (54.394) Prec@5 85.625 (83.407) Epoch: [67][9940/11272] Time 0.733 (0.774) Data 0.002 (0.002) Loss 1.6203 (1.7102) Prec@1 55.000 (54.393) Prec@5 85.000 (83.406) Epoch: [67][9950/11272] Time 0.928 (0.774) Data 0.002 (0.002) Loss 1.7084 (1.7102) Prec@1 56.875 (54.392) Prec@5 83.750 (83.406) Epoch: [67][9960/11272] Time 0.731 (0.774) Data 0.002 (0.002) Loss 1.7692 (1.7103) Prec@1 51.250 (54.392) Prec@5 80.000 (83.404) Epoch: [67][9970/11272] Time 0.741 (0.774) Data 0.002 (0.002) Loss 1.6611 (1.7103) Prec@1 52.500 (54.391) Prec@5 85.000 (83.401) Epoch: [67][9980/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.5838 (1.7103) Prec@1 57.500 (54.391) Prec@5 83.750 (83.402) Epoch: [67][9990/11272] Time 0.847 (0.774) Data 0.001 (0.002) Loss 1.7471 (1.7103) Prec@1 53.125 (54.393) Prec@5 83.125 (83.402) Epoch: [67][10000/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.9030 (1.7103) Prec@1 55.625 (54.393) Prec@5 83.750 (83.402) Epoch: [67][10010/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.5518 (1.7102) Prec@1 58.750 (54.393) Prec@5 85.000 (83.402) Epoch: [67][10020/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.6032 (1.7102) Prec@1 54.375 (54.392) Prec@5 87.500 (83.403) Epoch: [67][10030/11272] Time 0.845 (0.774) Data 0.002 (0.002) Loss 1.8186 (1.7103) Prec@1 51.250 (54.391) Prec@5 78.750 (83.401) Epoch: [67][10040/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.6195 (1.7102) Prec@1 60.000 (54.393) Prec@5 82.500 (83.402) Epoch: [67][10050/11272] Time 0.722 (0.774) Data 0.002 (0.002) Loss 1.6619 (1.7102) Prec@1 55.000 (54.393) Prec@5 84.375 (83.402) Epoch: [67][10060/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.6167 (1.7102) Prec@1 53.750 (54.393) Prec@5 85.000 (83.403) Epoch: [67][10070/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.6585 (1.7101) Prec@1 52.500 (54.394) Prec@5 86.250 (83.404) Epoch: [67][10080/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7054 (1.7101) Prec@1 55.000 (54.394) Prec@5 82.500 (83.404) Epoch: [67][10090/11272] Time 0.881 (0.774) Data 0.001 (0.002) Loss 1.8163 (1.7102) Prec@1 51.250 (54.393) Prec@5 83.750 (83.403) Epoch: [67][10100/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.6691 (1.7102) Prec@1 52.500 (54.391) Prec@5 84.375 (83.404) Epoch: [67][10110/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.6162 (1.7102) Prec@1 56.250 (54.391) Prec@5 83.750 (83.403) Epoch: [67][10120/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6470 (1.7103) Prec@1 53.750 (54.390) Prec@5 86.875 (83.402) Epoch: [67][10130/11272] Time 0.882 (0.774) Data 0.002 (0.002) Loss 1.6792 (1.7103) Prec@1 53.750 (54.389) Prec@5 82.500 (83.402) Epoch: [67][10140/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.9164 (1.7103) Prec@1 50.625 (54.390) Prec@5 78.750 (83.402) Epoch: [67][10150/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.9242 (1.7103) Prec@1 53.750 (54.390) Prec@5 79.375 (83.402) Epoch: [67][10160/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6845 (1.7103) Prec@1 56.250 (54.390) Prec@5 84.375 (83.403) Epoch: [67][10170/11272] Time 0.840 (0.774) Data 0.002 (0.002) Loss 1.9476 (1.7104) Prec@1 48.750 (54.389) Prec@5 77.500 (83.402) Epoch: [67][10180/11272] Time 0.787 (0.774) Data 0.001 (0.002) Loss 1.5416 (1.7104) Prec@1 55.625 (54.389) Prec@5 85.000 (83.401) Epoch: [67][10190/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.6577 (1.7103) Prec@1 51.875 (54.389) Prec@5 85.000 (83.402) Epoch: [67][10200/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7225 (1.7103) Prec@1 56.875 (54.388) Prec@5 83.750 (83.403) Epoch: [67][10210/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.6086 (1.7103) Prec@1 57.500 (54.389) Prec@5 85.625 (83.403) Epoch: [67][10220/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.9280 (1.7104) Prec@1 50.000 (54.388) Prec@5 80.625 (83.403) Epoch: [67][10230/11272] Time 0.740 (0.774) Data 0.001 (0.002) Loss 1.7015 (1.7104) Prec@1 50.625 (54.387) Prec@5 81.250 (83.401) Epoch: [67][10240/11272] Time 0.830 (0.774) Data 0.000 (0.002) Loss 1.6944 (1.7105) Prec@1 56.250 (54.385) Prec@5 83.750 (83.399) Epoch: [67][10250/11272] Time 0.827 (0.774) Data 0.002 (0.002) Loss 1.9593 (1.7106) Prec@1 49.375 (54.384) Prec@5 79.375 (83.397) Epoch: [67][10260/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6986 (1.7106) Prec@1 55.000 (54.384) Prec@5 85.000 (83.396) Epoch: [67][10270/11272] Time 0.737 (0.774) Data 0.002 (0.002) Loss 1.5155 (1.7105) Prec@1 57.500 (54.385) Prec@5 86.250 (83.398) Epoch: [67][10280/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.7368 (1.7105) Prec@1 51.250 (54.384) Prec@5 81.250 (83.398) Epoch: [67][10290/11272] Time 0.889 (0.774) Data 0.002 (0.002) Loss 1.7250 (1.7105) Prec@1 53.750 (54.384) Prec@5 82.500 (83.398) Epoch: [67][10300/11272] Time 0.696 (0.774) Data 0.001 (0.002) Loss 1.7995 (1.7106) Prec@1 50.625 (54.383) Prec@5 84.375 (83.397) Epoch: [67][10310/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5056 (1.7105) Prec@1 58.750 (54.384) Prec@5 86.250 (83.398) Epoch: [67][10320/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.5979 (1.7105) Prec@1 51.250 (54.384) Prec@5 87.500 (83.400) Epoch: [67][10330/11272] Time 0.929 (0.774) Data 0.001 (0.002) Loss 1.8855 (1.7105) Prec@1 51.250 (54.384) Prec@5 78.750 (83.400) Epoch: [67][10340/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6973 (1.7105) Prec@1 52.500 (54.382) Prec@5 82.500 (83.400) Epoch: [67][10350/11272] Time 0.680 (0.774) Data 0.001 (0.002) Loss 1.8679 (1.7105) Prec@1 50.625 (54.380) Prec@5 81.250 (83.399) Epoch: [67][10360/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.8002 (1.7106) Prec@1 49.375 (54.380) Prec@5 80.625 (83.398) Epoch: [67][10370/11272] Time 0.748 (0.774) Data 0.001 (0.002) Loss 1.5342 (1.7106) Prec@1 57.500 (54.380) Prec@5 83.750 (83.398) Epoch: [67][10380/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6500 (1.7106) Prec@1 56.250 (54.380) Prec@5 83.125 (83.397) Epoch: [67][10390/11272] Time 0.867 (0.774) Data 0.002 (0.002) Loss 1.6692 (1.7107) Prec@1 53.125 (54.378) Prec@5 85.000 (83.398) Epoch: [67][10400/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.5499 (1.7106) Prec@1 55.625 (54.380) Prec@5 85.000 (83.398) Epoch: [67][10410/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.5857 (1.7106) Prec@1 54.375 (54.378) Prec@5 87.500 (83.398) Epoch: [67][10420/11272] Time 0.684 (0.774) Data 0.001 (0.002) Loss 1.7627 (1.7106) Prec@1 53.125 (54.378) Prec@5 81.875 (83.398) Epoch: [67][10430/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.7881 (1.7106) Prec@1 48.750 (54.378) Prec@5 81.250 (83.398) Epoch: [67][10440/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.6021 (1.7106) Prec@1 60.000 (54.379) Prec@5 85.625 (83.398) Epoch: [67][10450/11272] Time 0.739 (0.773) Data 0.001 (0.002) Loss 1.5198 (1.7106) Prec@1 54.375 (54.380) Prec@5 85.625 (83.398) Epoch: [67][10460/11272] Time 0.730 (0.773) Data 0.001 (0.002) Loss 1.8190 (1.7105) Prec@1 46.250 (54.379) Prec@5 80.625 (83.398) Epoch: [67][10470/11272] Time 0.837 (0.774) Data 0.002 (0.002) Loss 1.8632 (1.7106) Prec@1 51.875 (54.377) Prec@5 78.750 (83.398) Epoch: [67][10480/11272] Time 0.830 (0.773) Data 0.001 (0.002) Loss 1.6246 (1.7105) Prec@1 52.500 (54.377) Prec@5 83.750 (83.397) Epoch: [67][10490/11272] Time 0.732 (0.773) Data 0.002 (0.002) Loss 1.5020 (1.7105) Prec@1 55.625 (54.380) Prec@5 89.375 (83.398) Epoch: [67][10500/11272] Time 0.798 (0.773) Data 0.001 (0.002) Loss 1.6507 (1.7105) Prec@1 61.250 (54.379) Prec@5 82.500 (83.398) Epoch: [67][10510/11272] Time 0.845 (0.773) Data 0.002 (0.002) Loss 1.7228 (1.7105) Prec@1 55.625 (54.379) Prec@5 81.250 (83.399) Epoch: [67][10520/11272] Time 0.687 (0.773) Data 0.001 (0.002) Loss 1.5679 (1.7105) Prec@1 57.500 (54.377) Prec@5 83.750 (83.399) Epoch: [67][10530/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.9128 (1.7106) Prec@1 48.750 (54.375) Prec@5 85.625 (83.398) Epoch: [67][10540/11272] Time 0.812 (0.773) Data 0.001 (0.002) Loss 1.8731 (1.7106) Prec@1 48.750 (54.374) Prec@5 80.625 (83.398) Epoch: [67][10550/11272] Time 0.847 (0.773) Data 0.001 (0.002) Loss 1.7362 (1.7106) Prec@1 53.750 (54.376) Prec@5 85.000 (83.399) Epoch: [67][10560/11272] Time 0.793 (0.773) Data 0.002 (0.002) Loss 1.7214 (1.7105) Prec@1 58.750 (54.376) Prec@5 82.500 (83.399) Epoch: [67][10570/11272] Time 0.734 (0.773) Data 0.002 (0.002) Loss 1.7610 (1.7105) Prec@1 49.375 (54.376) Prec@5 79.375 (83.400) Epoch: [67][10580/11272] Time 0.828 (0.773) Data 0.002 (0.002) Loss 1.4705 (1.7104) Prec@1 60.625 (54.378) Prec@5 87.500 (83.401) Epoch: [67][10590/11272] Time 0.875 (0.773) Data 0.001 (0.002) Loss 1.4692 (1.7104) Prec@1 56.875 (54.378) Prec@5 87.500 (83.401) Epoch: [67][10600/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.6063 (1.7104) Prec@1 52.500 (54.377) Prec@5 85.625 (83.401) Epoch: [67][10610/11272] Time 0.746 (0.773) Data 0.001 (0.002) Loss 1.8613 (1.7105) Prec@1 53.125 (54.377) Prec@5 80.000 (83.401) Epoch: [67][10620/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.8763 (1.7104) Prec@1 46.875 (54.378) Prec@5 80.625 (83.402) Epoch: [67][10630/11272] Time 0.712 (0.773) Data 0.003 (0.002) Loss 1.8573 (1.7104) Prec@1 51.250 (54.377) Prec@5 80.000 (83.402) Epoch: [67][10640/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.7105 (1.7105) Prec@1 51.875 (54.375) Prec@5 83.750 (83.402) Epoch: [67][10650/11272] Time 0.866 (0.773) Data 0.002 (0.002) Loss 1.5443 (1.7104) Prec@1 60.000 (54.377) Prec@5 87.500 (83.403) Epoch: [67][10660/11272] Time 0.834 (0.773) Data 0.001 (0.002) Loss 1.7695 (1.7104) Prec@1 53.750 (54.377) Prec@5 81.875 (83.402) Epoch: [67][10670/11272] Time 0.736 (0.773) Data 0.001 (0.002) Loss 1.8127 (1.7104) Prec@1 51.875 (54.377) Prec@5 83.750 (83.403) Epoch: [67][10680/11272] Time 0.702 (0.773) Data 0.001 (0.002) Loss 1.9366 (1.7103) Prec@1 48.125 (54.377) Prec@5 80.000 (83.403) Epoch: [67][10690/11272] Time 0.878 (0.773) Data 0.002 (0.002) Loss 1.7210 (1.7104) Prec@1 55.000 (54.376) Prec@5 83.750 (83.403) Epoch: [67][10700/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.7009 (1.7104) Prec@1 57.500 (54.377) Prec@5 86.875 (83.403) Epoch: [67][10710/11272] Time 0.724 (0.773) Data 0.002 (0.002) Loss 1.5414 (1.7103) Prec@1 60.000 (54.378) Prec@5 87.500 (83.403) Epoch: [67][10720/11272] Time 0.702 (0.773) Data 0.001 (0.002) Loss 1.6901 (1.7103) Prec@1 53.125 (54.377) Prec@5 82.500 (83.404) Epoch: [67][10730/11272] Time 0.834 (0.773) Data 0.002 (0.002) Loss 1.5095 (1.7103) Prec@1 55.000 (54.379) Prec@5 87.500 (83.403) Epoch: [67][10740/11272] Time 0.809 (0.773) Data 0.001 (0.002) Loss 1.7616 (1.7103) Prec@1 50.625 (54.378) Prec@5 83.125 (83.404) Epoch: [67][10750/11272] Time 0.778 (0.773) Data 0.002 (0.002) Loss 1.8024 (1.7103) Prec@1 52.500 (54.380) Prec@5 81.875 (83.405) Epoch: [67][10760/11272] Time 0.792 (0.773) Data 0.002 (0.002) Loss 1.4856 (1.7102) Prec@1 60.000 (54.382) Prec@5 87.500 (83.404) Epoch: [67][10770/11272] Time 0.880 (0.773) Data 0.001 (0.002) Loss 1.6519 (1.7102) Prec@1 61.875 (54.383) Prec@5 83.750 (83.405) Epoch: [67][10780/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.8978 (1.7102) Prec@1 56.250 (54.383) Prec@5 80.000 (83.405) Epoch: [67][10790/11272] Time 0.730 (0.773) Data 0.001 (0.002) Loss 1.7827 (1.7101) Prec@1 55.000 (54.384) Prec@5 81.250 (83.407) Epoch: [67][10800/11272] Time 0.829 (0.773) Data 0.001 (0.002) Loss 1.6344 (1.7101) Prec@1 55.625 (54.386) Prec@5 87.500 (83.407) Epoch: [67][10810/11272] Time 0.811 (0.773) Data 0.001 (0.002) Loss 2.0808 (1.7101) Prec@1 42.500 (54.384) Prec@5 76.250 (83.406) Epoch: [67][10820/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.7792 (1.7102) Prec@1 50.625 (54.383) Prec@5 81.250 (83.406) Epoch: [67][10830/11272] Time 0.707 (0.773) Data 0.002 (0.002) Loss 1.6444 (1.7102) Prec@1 56.250 (54.383) Prec@5 81.875 (83.405) Epoch: [67][10840/11272] Time 0.818 (0.773) Data 0.002 (0.002) Loss 1.8648 (1.7103) Prec@1 49.375 (54.381) Prec@5 81.875 (83.404) Epoch: [67][10850/11272] Time 0.846 (0.773) Data 0.002 (0.002) Loss 1.7908 (1.7103) Prec@1 52.500 (54.382) Prec@5 82.500 (83.405) Epoch: [67][10860/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.6409 (1.7103) Prec@1 58.750 (54.383) Prec@5 84.375 (83.405) Epoch: [67][10870/11272] Time 0.734 (0.773) Data 0.001 (0.002) Loss 1.8948 (1.7103) Prec@1 47.500 (54.381) Prec@5 78.125 (83.404) Epoch: [67][10880/11272] Time 0.791 (0.773) Data 0.001 (0.002) Loss 1.7380 (1.7104) Prec@1 50.625 (54.379) Prec@5 86.875 (83.403) Epoch: [67][10890/11272] Time 0.736 (0.773) Data 0.003 (0.002) Loss 1.5875 (1.7104) Prec@1 56.875 (54.378) Prec@5 87.500 (83.403) Epoch: [67][10900/11272] Time 0.745 (0.773) Data 0.001 (0.002) Loss 2.0554 (1.7105) Prec@1 46.875 (54.378) Prec@5 76.875 (83.403) Epoch: [67][10910/11272] Time 0.833 (0.773) Data 0.001 (0.002) Loss 1.8693 (1.7105) Prec@1 52.500 (54.376) Prec@5 81.250 (83.401) Epoch: [67][10920/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 2.0032 (1.7105) Prec@1 46.250 (54.378) Prec@5 80.000 (83.402) Epoch: [67][10930/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6680 (1.7104) Prec@1 54.375 (54.378) Prec@5 86.875 (83.404) Epoch: [67][10940/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6479 (1.7105) Prec@1 57.500 (54.377) Prec@5 84.375 (83.402) Epoch: [67][10950/11272] Time 0.875 (0.774) Data 0.001 (0.002) Loss 1.7193 (1.7105) Prec@1 51.875 (54.375) Prec@5 84.375 (83.402) Epoch: [67][10960/11272] Time 0.862 (0.774) Data 0.002 (0.002) Loss 1.8005 (1.7104) Prec@1 50.625 (54.376) Prec@5 83.125 (83.402) Epoch: [67][10970/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6901 (1.7105) Prec@1 52.500 (54.374) Prec@5 84.375 (83.401) Epoch: [67][10980/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.4812 (1.7105) Prec@1 58.750 (54.375) Prec@5 88.125 (83.401) Epoch: [67][10990/11272] Time 0.903 (0.774) Data 0.002 (0.002) Loss 1.8874 (1.7105) Prec@1 50.625 (54.373) Prec@5 78.750 (83.401) Epoch: [67][11000/11272] Time 0.762 (0.774) Data 0.001 (0.002) Loss 1.4705 (1.7105) Prec@1 59.375 (54.374) Prec@5 87.500 (83.401) Epoch: [67][11010/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6945 (1.7105) Prec@1 59.375 (54.376) Prec@5 83.750 (83.402) Epoch: [67][11020/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.6105 (1.7104) Prec@1 53.125 (54.376) Prec@5 88.125 (83.403) Epoch: [67][11030/11272] Time 0.853 (0.774) Data 0.002 (0.002) Loss 1.8082 (1.7104) Prec@1 56.250 (54.376) Prec@5 76.875 (83.401) Epoch: [67][11040/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.9538 (1.7105) Prec@1 45.625 (54.374) Prec@5 79.375 (83.400) Epoch: [67][11050/11272] Time 0.774 (0.774) Data 0.002 (0.002) Loss 1.8529 (1.7104) Prec@1 54.375 (54.374) Prec@5 80.000 (83.401) Epoch: [67][11060/11272] Time 0.840 (0.774) Data 0.001 (0.002) Loss 2.0259 (1.7105) Prec@1 52.500 (54.374) Prec@5 76.250 (83.400) Epoch: [67][11070/11272] Time 0.848 (0.774) Data 0.002 (0.002) Loss 1.4705 (1.7106) Prec@1 58.125 (54.374) Prec@5 87.500 (83.399) Epoch: [67][11080/11272] Time 0.749 (0.774) Data 0.001 (0.002) Loss 1.7944 (1.7106) Prec@1 51.875 (54.374) Prec@5 81.250 (83.399) Epoch: [67][11090/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.6756 (1.7106) Prec@1 53.750 (54.374) Prec@5 83.125 (83.398) Epoch: [67][11100/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.8803 (1.7106) Prec@1 47.500 (54.374) Prec@5 77.500 (83.397) Epoch: [67][11110/11272] Time 0.829 (0.774) Data 0.002 (0.002) Loss 1.5822 (1.7106) Prec@1 54.375 (54.374) Prec@5 86.875 (83.398) Epoch: [67][11120/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7339 (1.7105) Prec@1 53.750 (54.375) Prec@5 83.125 (83.400) Epoch: [67][11130/11272] Time 0.719 (0.774) Data 0.002 (0.002) Loss 1.7262 (1.7106) Prec@1 54.375 (54.375) Prec@5 81.250 (83.400) Epoch: [67][11140/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.5808 (1.7106) Prec@1 56.250 (54.375) Prec@5 85.625 (83.399) Epoch: [67][11150/11272] Time 0.873 (0.774) Data 0.002 (0.002) Loss 1.6176 (1.7107) Prec@1 50.000 (54.374) Prec@5 85.000 (83.399) Epoch: [67][11160/11272] Time 0.773 (0.774) Data 0.002 (0.002) Loss 1.4647 (1.7107) Prec@1 63.750 (54.375) Prec@5 87.500 (83.398) Epoch: [67][11170/11272] Time 0.859 (0.774) Data 0.001 (0.002) Loss 1.7818 (1.7107) Prec@1 51.875 (54.376) Prec@5 81.250 (83.397) Epoch: [67][11180/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.6778 (1.7107) Prec@1 62.500 (54.376) Prec@5 84.375 (83.398) Epoch: [67][11190/11272] Time 0.693 (0.774) Data 0.001 (0.002) Loss 1.7821 (1.7106) Prec@1 54.375 (54.377) Prec@5 80.000 (83.398) Epoch: [67][11200/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.6122 (1.7106) Prec@1 52.500 (54.375) Prec@5 86.250 (83.399) Epoch: [67][11210/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.7714 (1.7107) Prec@1 51.250 (54.374) Prec@5 86.250 (83.399) Epoch: [67][11220/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.6687 (1.7108) Prec@1 56.250 (54.372) Prec@5 80.625 (83.396) Epoch: [67][11230/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.7105 (1.7108) Prec@1 48.125 (54.371) Prec@5 82.500 (83.396) Epoch: [67][11240/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.7203 (1.7108) Prec@1 53.750 (54.372) Prec@5 81.875 (83.394) Epoch: [67][11250/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.7319 (1.7108) Prec@1 55.625 (54.371) Prec@5 86.875 (83.395) Epoch: [67][11260/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.5816 (1.7108) Prec@1 57.500 (54.371) Prec@5 83.750 (83.395) Epoch: [67][11270/11272] Time 0.714 (0.774) Data 0.000 (0.002) Loss 1.6881 (1.7108) Prec@1 54.375 (54.370) Prec@5 81.875 (83.394) Test: [0/229] Time 2.906 (2.906) Loss 1.0541 (1.0541) Prec@1 66.250 (66.250) Prec@5 95.625 (95.625) Test: [10/229] Time 0.409 (0.682) Loss 0.9672 (1.5248) Prec@1 68.750 (58.239) Prec@5 97.500 (88.011) Test: [20/229] Time 0.772 (0.591) Loss 1.8673 (1.6108) Prec@1 51.875 (55.387) Prec@5 83.125 (86.935) Test: [30/229] Time 0.337 (0.550) Loss 1.8795 (1.5576) Prec@1 46.875 (57.742) Prec@5 88.750 (87.359) Test: [40/229] Time 0.857 (0.544) Loss 0.4033 (1.5516) Prec@1 90.625 (57.790) Prec@5 95.625 (87.378) Test: [50/229] Time 0.331 (0.527) Loss 2.2530 (1.6076) Prec@1 37.500 (56.532) Prec@5 81.250 (86.189) Test: [60/229] Time 0.862 (0.525) Loss 2.0796 (1.6076) Prec@1 39.375 (56.404) Prec@5 85.625 (86.250) Test: [70/229] Time 0.329 (0.514) Loss 1.2704 (1.6234) Prec@1 68.750 (56.153) Prec@5 85.625 (86.004) Test: [80/229] Time 0.514 (0.514) Loss 2.1196 (1.6435) Prec@1 36.250 (55.285) Prec@5 86.250 (85.941) Test: [90/229] Time 0.327 (0.508) Loss 1.2131 (1.6494) Prec@1 73.750 (55.247) Prec@5 87.500 (85.975) Test: [100/229] Time 0.304 (0.511) Loss 2.0360 (1.6431) Prec@1 50.625 (55.613) Prec@5 85.625 (86.009) Test: [110/229] Time 0.393 (0.506) Loss 1.3661 (1.6249) Prec@1 61.875 (55.923) Prec@5 86.875 (86.177) Test: [120/229] Time 0.345 (0.507) Loss 2.9568 (1.6433) Prec@1 29.375 (55.439) Prec@5 75.000 (85.930) Test: [130/229] Time 0.379 (0.503) Loss 1.1536 (1.6265) Prec@1 65.000 (55.802) Prec@5 93.125 (86.107) Test: [140/229] Time 0.373 (0.503) Loss 1.9413 (1.6403) Prec@1 48.750 (55.474) Prec@5 81.250 (86.006) Test: [150/229] Time 0.409 (0.500) Loss 1.0028 (1.6506) Prec@1 76.875 (55.219) Prec@5 90.000 (85.915) Test: [160/229] Time 0.330 (0.499) Loss 1.6399 (1.6520) Prec@1 59.375 (55.136) Prec@5 82.500 (85.846) Test: [170/229] Time 0.331 (0.498) Loss 1.6141 (1.6615) Prec@1 55.625 (54.832) Prec@5 87.500 (85.764) Test: [180/229] Time 0.386 (0.498) Loss 2.3415 (1.6681) Prec@1 36.875 (54.800) Prec@5 75.000 (85.573) Test: [190/229] Time 0.326 (0.496) Loss 1.2440 (1.6563) Prec@1 65.625 (55.137) Prec@5 92.500 (85.697) Test: [200/229] Time 0.431 (0.497) Loss 1.6976 (1.6501) Prec@1 51.250 (55.106) Prec@5 83.750 (85.858) Test: [210/229] Time 0.498 (0.495) Loss 1.0905 (1.6418) Prec@1 68.750 (55.382) Prec@5 93.125 (85.977) Test: [220/229] Time 0.327 (0.495) Loss 1.4594 (1.6326) Prec@1 63.125 (55.710) Prec@5 89.375 (86.010) * Prec@1 56.014 Prec@5 86.081 Epoch: [68][0/11272] Time 4.014 (4.014) Data 3.201 (3.201) Loss 1.8752 (1.8752) Prec@1 51.250 (51.250) Prec@5 78.750 (78.750) Epoch: [68][10/11272] Time 0.735 (1.078) Data 0.003 (0.293) Loss 1.8155 (1.6855) Prec@1 55.000 (55.341) Prec@5 80.000 (83.466) Epoch: [68][20/11272] Time 0.808 (0.937) Data 0.001 (0.154) Loss 1.9051 (1.6838) Prec@1 51.250 (55.060) Prec@5 81.250 (83.899) Epoch: [68][30/11272] Time 0.855 (0.886) Data 0.002 (0.105) Loss 1.7982 (1.7010) Prec@1 54.375 (55.282) Prec@5 82.500 (83.750) Epoch: [68][40/11272] Time 0.728 (0.864) Data 0.002 (0.080) Loss 1.7165 (1.7064) Prec@1 55.625 (54.878) Prec@5 83.750 (83.628) Epoch: [68][50/11272] Time 0.720 (0.847) Data 0.001 (0.064) Loss 1.5338 (1.7050) Prec@1 61.250 (54.816) Prec@5 86.875 (83.468) Epoch: [68][60/11272] Time 0.871 (0.839) Data 0.001 (0.054) Loss 1.6597 (1.7050) Prec@1 54.375 (54.754) Prec@5 83.750 (83.648) Epoch: [68][70/11272] Time 0.868 (0.832) Data 0.002 (0.047) Loss 1.7289 (1.6989) Prec@1 55.000 (54.886) Prec@5 78.750 (83.644) Epoch: [68][80/11272] Time 0.731 (0.825) Data 0.002 (0.041) Loss 1.5950 (1.6989) Prec@1 52.500 (54.923) Prec@5 88.125 (83.650) Epoch: [68][90/11272] Time 0.835 (0.822) Data 0.002 (0.037) Loss 1.4910 (1.7061) Prec@1 57.500 (54.918) Prec@5 86.250 (83.448) Epoch: [68][100/11272] Time 0.849 (0.818) Data 0.002 (0.033) Loss 1.8396 (1.7003) Prec@1 50.625 (55.037) Prec@5 81.875 (83.639) Epoch: [68][110/11272] Time 0.744 (0.815) Data 0.001 (0.030) Loss 1.7413 (1.6964) Prec@1 50.625 (55.039) Prec@5 84.375 (83.733) Epoch: [68][120/11272] Time 0.729 (0.813) Data 0.001 (0.028) Loss 1.6314 (1.6968) Prec@1 53.125 (54.907) Prec@5 86.875 (83.745) Epoch: [68][130/11272] Time 0.891 (0.813) Data 0.001 (0.026) Loss 1.5461 (1.6940) Prec@1 60.000 (54.986) Prec@5 86.875 (83.707) Epoch: [68][140/11272] Time 0.843 (0.810) Data 0.002 (0.024) Loss 1.9775 (1.6990) Prec@1 45.000 (54.703) Prec@5 76.250 (83.666) Epoch: [68][150/11272] Time 0.733 (0.808) Data 0.001 (0.023) Loss 1.8817 (1.7027) Prec@1 51.875 (54.644) Prec@5 81.250 (83.593) Epoch: [68][160/11272] Time 0.766 (0.807) Data 0.002 (0.021) Loss 1.4802 (1.7005) Prec@1 59.375 (54.627) Prec@5 85.625 (83.684) Epoch: [68][170/11272] Time 0.859 (0.807) Data 0.002 (0.020) Loss 1.5657 (1.6983) Prec@1 56.250 (54.730) Prec@5 86.875 (83.743) Epoch: [68][180/11272] Time 0.827 (0.806) Data 0.001 (0.019) Loss 1.5432 (1.6982) Prec@1 56.875 (54.817) Prec@5 84.375 (83.702) Epoch: [68][190/11272] Time 0.733 (0.804) Data 0.002 (0.018) Loss 1.7135 (1.6975) Prec@1 55.625 (54.791) Prec@5 85.625 (83.737) Epoch: [68][200/11272] Time 0.734 (0.803) Data 0.001 (0.018) Loss 1.7165 (1.6977) Prec@1 56.250 (54.826) Prec@5 85.000 (83.710) Epoch: [68][210/11272] Time 0.841 (0.802) Data 0.001 (0.017) Loss 1.7873 (1.6992) Prec@1 56.875 (54.787) Prec@5 81.250 (83.640) Epoch: [68][220/11272] Time 0.831 (0.801) Data 0.001 (0.016) Loss 1.6733 (1.6981) Prec@1 55.625 (54.850) Prec@5 83.125 (83.643) Epoch: [68][230/11272] Time 0.732 (0.801) Data 0.002 (0.015) Loss 1.5365 (1.6973) Prec@1 61.875 (54.821) Prec@5 85.625 (83.674) Epoch: [68][240/11272] Time 0.914 (0.800) Data 0.002 (0.015) Loss 1.7050 (1.6969) Prec@1 56.875 (54.863) Prec@5 79.375 (83.693) Epoch: [68][250/11272] Time 0.820 (0.800) Data 0.001 (0.014) Loss 1.7410 (1.6980) Prec@1 56.875 (54.856) Prec@5 85.000 (83.663) Epoch: [68][260/11272] Time 0.739 (0.799) Data 0.001 (0.014) Loss 1.8163 (1.7015) Prec@1 48.125 (54.820) Prec@5 86.875 (83.582) Epoch: [68][270/11272] Time 0.733 (0.799) Data 0.002 (0.013) Loss 1.6464 (1.7030) Prec@1 53.125 (54.783) Prec@5 85.625 (83.529) Epoch: [68][280/11272] Time 0.893 (0.799) Data 0.001 (0.013) Loss 1.8122 (1.7043) Prec@1 50.625 (54.735) Prec@5 84.375 (83.516) Epoch: [68][290/11272] Time 0.843 (0.799) Data 0.002 (0.013) Loss 1.4651 (1.7019) Prec@1 63.125 (54.747) Prec@5 88.125 (83.555) Epoch: [68][300/11272] Time 0.720 (0.799) Data 0.001 (0.012) Loss 1.7492 (1.7021) Prec@1 51.875 (54.707) Prec@5 82.500 (83.513) Epoch: [68][310/11272] Time 0.760 (0.798) Data 0.002 (0.012) Loss 1.5590 (1.7013) Prec@1 54.375 (54.701) Prec@5 88.125 (83.509) Epoch: [68][320/11272] Time 0.870 (0.799) Data 0.002 (0.012) Loss 1.7032 (1.7016) Prec@1 52.500 (54.725) Prec@5 86.250 (83.479) Epoch: [68][330/11272] Time 0.846 (0.798) Data 0.002 (0.011) Loss 1.6234 (1.7035) Prec@1 54.375 (54.704) Prec@5 88.125 (83.454) Epoch: [68][340/11272] Time 0.727 (0.798) Data 0.001 (0.011) Loss 1.4891 (1.7025) Prec@1 60.625 (54.745) Prec@5 86.250 (83.475) Epoch: [68][350/11272] Time 0.771 (0.798) Data 0.001 (0.011) Loss 1.6999 (1.7015) Prec@1 52.500 (54.731) Prec@5 85.625 (83.499) Epoch: [68][360/11272] Time 0.845 (0.798) Data 0.001 (0.010) Loss 1.9211 (1.7026) Prec@1 50.000 (54.690) Prec@5 78.750 (83.494) Epoch: [68][370/11272] Time 0.725 (0.797) Data 0.002 (0.010) Loss 1.5457 (1.7026) Prec@1 62.500 (54.737) Prec@5 86.875 (83.516) Epoch: [68][380/11272] Time 0.750 (0.798) Data 0.001 (0.010) Loss 1.6572 (1.7011) Prec@1 60.625 (54.800) Prec@5 82.500 (83.535) Epoch: [68][390/11272] Time 0.846 (0.798) Data 0.001 (0.010) Loss 1.8623 (1.7035) Prec@1 53.750 (54.752) Prec@5 81.250 (83.534) Epoch: [68][400/11272] Time 0.870 (0.799) Data 0.002 (0.010) Loss 1.7765 (1.7045) Prec@1 53.750 (54.749) Prec@5 81.875 (83.508) Epoch: [68][410/11272] Time 0.717 (0.799) Data 0.001 (0.009) Loss 1.7443 (1.7035) Prec@1 55.625 (54.781) Prec@5 83.750 (83.528) Epoch: [68][420/11272] Time 0.728 (0.798) Data 0.002 (0.009) Loss 1.8651 (1.7038) Prec@1 54.375 (54.789) Prec@5 80.625 (83.530) Epoch: [68][430/11272] Time 0.881 (0.798) Data 0.002 (0.009) Loss 1.8086 (1.7035) Prec@1 53.125 (54.790) Prec@5 81.875 (83.525) Epoch: [68][440/11272] Time 0.825 (0.798) Data 0.002 (0.009) Loss 1.6148 (1.7027) Prec@1 59.375 (54.803) Prec@5 84.375 (83.546) Epoch: [68][450/11272] Time 0.733 (0.798) Data 0.001 (0.009) Loss 1.6956 (1.7016) Prec@1 53.125 (54.816) Prec@5 83.125 (83.559) Epoch: [68][460/11272] Time 0.716 (0.798) Data 0.002 (0.009) Loss 1.7065 (1.7017) Prec@1 53.125 (54.791) Prec@5 84.375 (83.559) Epoch: [68][470/11272] Time 0.862 (0.798) Data 0.001 (0.008) Loss 1.7616 (1.7025) Prec@1 51.250 (54.782) Prec@5 81.250 (83.524) Epoch: [68][480/11272] Time 0.822 (0.798) Data 0.002 (0.008) Loss 1.8413 (1.7030) Prec@1 48.125 (54.756) Prec@5 81.875 (83.515) Epoch: [68][490/11272] Time 0.724 (0.798) Data 0.002 (0.008) Loss 1.7596 (1.7038) Prec@1 56.875 (54.756) Prec@5 85.000 (83.495) Epoch: [68][500/11272] Time 0.842 (0.798) Data 0.002 (0.008) Loss 1.4523 (1.7030) Prec@1 59.375 (54.747) Prec@5 86.250 (83.509) Epoch: [68][510/11272] Time 0.874 (0.798) Data 0.001 (0.008) Loss 1.6878 (1.7018) Prec@1 55.625 (54.766) Prec@5 83.125 (83.532) Epoch: [68][520/11272] Time 0.777 (0.797) Data 0.001 (0.008) Loss 1.4912 (1.7017) Prec@1 55.625 (54.758) Prec@5 84.375 (83.516) Epoch: [68][530/11272] Time 0.739 (0.798) Data 0.002 (0.008) Loss 1.6303 (1.7017) Prec@1 55.000 (54.741) Prec@5 84.375 (83.519) Epoch: [68][540/11272] Time 0.853 (0.798) Data 0.002 (0.008) Loss 1.8138 (1.7014) Prec@1 55.000 (54.755) Prec@5 79.375 (83.528) Epoch: [68][550/11272] Time 0.834 (0.798) Data 0.002 (0.007) Loss 1.6774 (1.7006) Prec@1 51.250 (54.778) Prec@5 85.625 (83.553) Epoch: [68][560/11272] Time 0.731 (0.797) Data 0.001 (0.007) Loss 1.5849 (1.7006) Prec@1 58.125 (54.782) Prec@5 81.875 (83.537) Epoch: [68][570/11272] Time 0.717 (0.797) Data 0.002 (0.007) Loss 1.6067 (1.6990) Prec@1 56.250 (54.793) Prec@5 82.500 (83.562) Epoch: [68][580/11272] Time 0.870 (0.798) Data 0.001 (0.007) Loss 1.6733 (1.6978) Prec@1 53.750 (54.795) Prec@5 85.625 (83.585) Epoch: [68][590/11272] Time 0.858 (0.797) Data 0.001 (0.007) Loss 1.6393 (1.6985) Prec@1 56.250 (54.768) Prec@5 86.250 (83.586) Epoch: [68][600/11272] Time 0.733 (0.797) Data 0.002 (0.007) Loss 2.0322 (1.6991) Prec@1 45.625 (54.755) Prec@5 80.000 (83.573) Epoch: [68][610/11272] Time 0.760 (0.797) Data 0.001 (0.007) Loss 1.5571 (1.6989) Prec@1 58.125 (54.760) Prec@5 85.625 (83.575) Epoch: [68][620/11272] Time 0.872 (0.797) Data 0.002 (0.007) Loss 1.4050 (1.6976) Prec@1 63.125 (54.777) Prec@5 88.750 (83.587) Epoch: [68][630/11272] Time 0.739 (0.796) Data 0.003 (0.007) Loss 1.6115 (1.6976) Prec@1 57.500 (54.773) Prec@5 83.750 (83.596) Epoch: [68][640/11272] Time 0.756 (0.797) Data 0.001 (0.007) Loss 1.4979 (1.6967) Prec@1 61.875 (54.798) Prec@5 85.000 (83.597) Epoch: [68][650/11272] Time 0.841 (0.797) Data 0.001 (0.007) Loss 1.8290 (1.6972) Prec@1 55.000 (54.792) Prec@5 81.875 (83.595) Epoch: [68][660/11272] Time 0.838 (0.797) Data 0.002 (0.006) Loss 1.5508 (1.6974) Prec@1 51.875 (54.803) Prec@5 86.250 (83.601) Epoch: [68][670/11272] Time 0.800 (0.797) Data 0.002 (0.006) Loss 1.6930 (1.6984) Prec@1 56.250 (54.803) Prec@5 84.375 (83.576) Epoch: [68][680/11272] Time 0.726 (0.797) Data 0.001 (0.006) Loss 1.6339 (1.6980) Prec@1 57.500 (54.817) Prec@5 85.000 (83.579) Epoch: [68][690/11272] Time 0.824 (0.797) Data 0.001 (0.006) Loss 1.6514 (1.6977) Prec@1 50.625 (54.820) Prec@5 83.125 (83.580) Epoch: [68][700/11272] Time 0.901 (0.797) Data 0.002 (0.006) Loss 1.7296 (1.6986) Prec@1 55.000 (54.826) Prec@5 82.500 (83.561) Epoch: [68][710/11272] Time 0.723 (0.797) Data 0.001 (0.006) Loss 1.7267 (1.6986) Prec@1 51.250 (54.836) Prec@5 86.250 (83.555) Epoch: [68][720/11272] Time 0.719 (0.797) Data 0.001 (0.006) Loss 1.6683 (1.6976) Prec@1 47.500 (54.829) Prec@5 85.625 (83.573) Epoch: [68][730/11272] Time 0.849 (0.797) Data 0.002 (0.006) Loss 1.6029 (1.6985) Prec@1 51.250 (54.801) Prec@5 83.125 (83.552) Epoch: [68][740/11272] Time 0.839 (0.797) Data 0.001 (0.006) Loss 1.3413 (1.6973) Prec@1 65.625 (54.827) Prec@5 89.375 (83.585) Epoch: [68][750/11272] Time 0.738 (0.797) Data 0.002 (0.006) Loss 1.6542 (1.6983) Prec@1 56.875 (54.787) Prec@5 83.750 (83.567) Epoch: [68][760/11272] Time 0.839 (0.797) Data 0.002 (0.006) Loss 1.8279 (1.6991) Prec@1 53.750 (54.773) Prec@5 80.625 (83.542) Epoch: [68][770/11272] Time 0.840 (0.797) Data 0.002 (0.006) Loss 1.4516 (1.6987) Prec@1 62.500 (54.776) Prec@5 86.250 (83.548) Epoch: [68][780/11272] Time 0.735 (0.797) Data 0.002 (0.006) Loss 1.6706 (1.6981) Prec@1 54.375 (54.790) Prec@5 85.625 (83.579) Epoch: [68][790/11272] Time 0.759 (0.797) Data 0.002 (0.006) Loss 1.6328 (1.6975) Prec@1 57.500 (54.811) Prec@5 82.500 (83.594) Epoch: [68][800/11272] Time 0.917 (0.797) Data 0.001 (0.006) Loss 1.6893 (1.6973) Prec@1 55.000 (54.810) Prec@5 81.250 (83.599) Epoch: [68][810/11272] Time 0.827 (0.797) Data 0.002 (0.006) Loss 1.8032 (1.6975) Prec@1 52.500 (54.814) Prec@5 77.500 (83.592) Epoch: [68][820/11272] Time 0.720 (0.797) Data 0.001 (0.005) Loss 1.8515 (1.6978) Prec@1 54.375 (54.813) Prec@5 83.750 (83.583) Epoch: [68][830/11272] Time 0.726 (0.797) Data 0.002 (0.005) Loss 1.7135 (1.6980) Prec@1 50.625 (54.792) Prec@5 83.750 (83.583) Epoch: [68][840/11272] Time 0.882 (0.797) Data 0.001 (0.005) Loss 1.8544 (1.6980) Prec@1 48.750 (54.797) Prec@5 80.625 (83.590) Epoch: [68][850/11272] Time 0.846 (0.797) Data 0.002 (0.005) Loss 1.7143 (1.6979) Prec@1 54.375 (54.794) Prec@5 80.625 (83.591) Epoch: [68][860/11272] Time 0.748 (0.797) Data 0.001 (0.005) Loss 1.4842 (1.6979) Prec@1 57.500 (54.786) Prec@5 87.500 (83.602) Epoch: [68][870/11272] Time 0.735 (0.797) Data 0.002 (0.005) Loss 1.4468 (1.6983) Prec@1 61.875 (54.797) Prec@5 86.875 (83.601) Epoch: [68][880/11272] Time 0.860 (0.797) Data 0.001 (0.005) Loss 1.7786 (1.6984) Prec@1 50.625 (54.786) Prec@5 81.875 (83.584) Epoch: [68][890/11272] Time 0.752 (0.797) Data 0.003 (0.005) Loss 1.6058 (1.6986) Prec@1 56.875 (54.776) Prec@5 86.250 (83.578) Epoch: [68][900/11272] Time 0.730 (0.797) Data 0.003 (0.005) Loss 1.7995 (1.6981) Prec@1 52.500 (54.793) Prec@5 80.000 (83.582) Epoch: [68][910/11272] Time 0.915 (0.797) Data 0.002 (0.005) Loss 1.5525 (1.6988) Prec@1 56.250 (54.776) Prec@5 86.250 (83.571) Epoch: [68][920/11272] Time 0.839 (0.797) Data 0.002 (0.005) Loss 1.6293 (1.6990) Prec@1 56.250 (54.742) Prec@5 79.375 (83.565) Epoch: [68][930/11272] Time 0.738 (0.797) Data 0.002 (0.005) Loss 1.4962 (1.6990) Prec@1 63.125 (54.748) Prec@5 84.375 (83.561) Epoch: [68][940/11272] Time 0.736 (0.797) Data 0.002 (0.005) Loss 2.0060 (1.6990) Prec@1 46.250 (54.745) Prec@5 77.500 (83.548) Epoch: [68][950/11272] Time 0.852 (0.796) Data 0.001 (0.005) Loss 1.7639 (1.6989) Prec@1 50.625 (54.734) Prec@5 81.250 (83.550) Epoch: [68][960/11272] Time 0.884 (0.797) Data 0.001 (0.005) Loss 1.6501 (1.6989) Prec@1 53.750 (54.731) Prec@5 83.125 (83.548) Epoch: [68][970/11272] Time 0.723 (0.797) Data 0.002 (0.005) Loss 1.7059 (1.6983) Prec@1 53.125 (54.730) Prec@5 86.875 (83.568) Epoch: [68][980/11272] Time 0.706 (0.796) Data 0.001 (0.005) Loss 1.6742 (1.6989) Prec@1 58.125 (54.717) Prec@5 83.125 (83.569) Epoch: [68][990/11272] Time 0.865 (0.796) Data 0.002 (0.005) Loss 1.9431 (1.6993) Prec@1 48.750 (54.702) Prec@5 81.250 (83.560) Epoch: [68][1000/11272] Time 0.846 (0.796) Data 0.002 (0.005) Loss 1.8008 (1.6995) Prec@1 54.375 (54.698) Prec@5 82.500 (83.560) Epoch: [68][1010/11272] Time 0.756 (0.796) Data 0.002 (0.005) Loss 1.5662 (1.6994) Prec@1 57.500 (54.698) Prec@5 83.750 (83.549) Epoch: [68][1020/11272] Time 0.833 (0.796) Data 0.001 (0.005) Loss 1.6550 (1.6992) Prec@1 54.375 (54.701) Prec@5 85.000 (83.561) Epoch: [68][1030/11272] Time 0.881 (0.796) Data 0.001 (0.005) Loss 1.6710 (1.6992) Prec@1 53.125 (54.685) Prec@5 85.625 (83.555) Epoch: [68][1040/11272] Time 0.732 (0.796) Data 0.002 (0.005) Loss 1.6707 (1.6987) Prec@1 59.375 (54.699) Prec@5 84.375 (83.560) Epoch: [68][1050/11272] Time 0.725 (0.796) Data 0.002 (0.005) Loss 1.7317 (1.6981) Prec@1 54.375 (54.719) Prec@5 83.125 (83.564) Epoch: [68][1060/11272] Time 0.819 (0.796) Data 0.001 (0.005) Loss 1.7029 (1.6984) Prec@1 56.875 (54.714) Prec@5 84.375 (83.561) Epoch: [68][1070/11272] Time 0.849 (0.796) Data 0.002 (0.005) Loss 1.6214 (1.6985) Prec@1 51.250 (54.718) Prec@5 85.625 (83.548) Epoch: [68][1080/11272] Time 0.718 (0.796) Data 0.001 (0.005) Loss 1.7210 (1.6982) Prec@1 59.375 (54.732) Prec@5 83.750 (83.560) Epoch: [68][1090/11272] Time 0.727 (0.796) Data 0.001 (0.005) Loss 1.6340 (1.6986) Prec@1 53.125 (54.715) Prec@5 84.375 (83.553) Epoch: [68][1100/11272] Time 0.814 (0.796) Data 0.001 (0.005) Loss 1.8563 (1.6989) Prec@1 47.500 (54.701) Prec@5 78.750 (83.542) Epoch: [68][1110/11272] Time 0.828 (0.796) Data 0.002 (0.004) Loss 1.7484 (1.6983) Prec@1 53.125 (54.708) Prec@5 80.000 (83.550) Epoch: [68][1120/11272] Time 0.735 (0.796) Data 0.002 (0.004) Loss 1.7327 (1.6986) Prec@1 58.750 (54.710) Prec@5 80.625 (83.541) Epoch: [68][1130/11272] Time 0.744 (0.796) Data 0.002 (0.004) Loss 1.9057 (1.6987) Prec@1 48.125 (54.709) Prec@5 79.375 (83.544) Epoch: [68][1140/11272] Time 0.808 (0.796) Data 0.001 (0.004) Loss 1.4481 (1.6987) Prec@1 59.375 (54.707) Prec@5 88.125 (83.544) Epoch: [68][1150/11272] Time 0.805 (0.796) Data 0.001 (0.004) Loss 1.7285 (1.6993) Prec@1 54.375 (54.707) Prec@5 84.375 (83.535) Epoch: [68][1160/11272] Time 0.727 (0.796) Data 0.001 (0.004) Loss 1.7284 (1.6988) Prec@1 53.750 (54.721) Prec@5 83.750 (83.550) Epoch: [68][1170/11272] Time 0.871 (0.796) Data 0.001 (0.004) Loss 1.5626 (1.6991) Prec@1 56.875 (54.710) Prec@5 86.875 (83.551) Epoch: [68][1180/11272] Time 0.851 (0.796) Data 0.002 (0.004) Loss 1.6321 (1.6990) Prec@1 56.250 (54.708) Prec@5 84.375 (83.551) Epoch: [68][1190/11272] Time 0.754 (0.796) Data 0.002 (0.004) Loss 1.7104 (1.6982) Prec@1 52.500 (54.712) Prec@5 83.750 (83.575) Epoch: [68][1200/11272] Time 0.726 (0.796) Data 0.002 (0.004) Loss 1.9792 (1.6987) Prec@1 51.250 (54.712) Prec@5 80.625 (83.562) Epoch: [68][1210/11272] Time 0.853 (0.796) Data 0.002 (0.004) Loss 1.6253 (1.6989) Prec@1 54.375 (54.709) Prec@5 88.750 (83.568) Epoch: [68][1220/11272] Time 0.881 (0.796) Data 0.002 (0.004) Loss 1.7012 (1.6991) Prec@1 53.750 (54.695) Prec@5 79.375 (83.562) Epoch: [68][1230/11272] Time 0.730 (0.796) Data 0.001 (0.004) Loss 1.7242 (1.6995) Prec@1 53.125 (54.682) Prec@5 81.875 (83.560) Epoch: [68][1240/11272] Time 0.699 (0.796) Data 0.001 (0.004) Loss 1.8598 (1.7000) Prec@1 53.750 (54.687) Prec@5 80.625 (83.552) Epoch: [68][1250/11272] Time 0.872 (0.796) Data 0.002 (0.004) Loss 1.8909 (1.7002) Prec@1 53.750 (54.678) Prec@5 78.750 (83.545) Epoch: [68][1260/11272] Time 0.874 (0.796) Data 0.002 (0.004) Loss 1.6440 (1.7001) Prec@1 51.250 (54.681) Prec@5 84.375 (83.552) Epoch: [68][1270/11272] Time 0.741 (0.796) Data 0.001 (0.004) Loss 1.7182 (1.7003) Prec@1 59.375 (54.668) Prec@5 81.250 (83.549) Epoch: [68][1280/11272] Time 0.723 (0.796) Data 0.002 (0.004) Loss 1.9418 (1.7005) Prec@1 56.250 (54.652) Prec@5 80.000 (83.554) Epoch: [68][1290/11272] Time 0.830 (0.796) Data 0.001 (0.004) Loss 1.7713 (1.7004) Prec@1 54.375 (54.648) Prec@5 83.125 (83.557) Epoch: [68][1300/11272] Time 0.726 (0.796) Data 0.001 (0.004) Loss 1.6842 (1.7000) Prec@1 53.750 (54.666) Prec@5 84.375 (83.557) Epoch: [68][1310/11272] Time 0.724 (0.795) Data 0.002 (0.004) Loss 1.5449 (1.6999) Prec@1 55.000 (54.656) Prec@5 86.250 (83.558) Epoch: [68][1320/11272] Time 0.895 (0.796) Data 0.003 (0.004) Loss 1.7552 (1.7004) Prec@1 51.875 (54.656) Prec@5 82.500 (83.553) Epoch: [68][1330/11272] Time 0.847 (0.796) Data 0.002 (0.004) Loss 1.5667 (1.7000) Prec@1 56.250 (54.654) Prec@5 88.125 (83.563) Epoch: [68][1340/11272] Time 0.717 (0.796) Data 0.002 (0.004) Loss 1.5278 (1.6995) Prec@1 60.625 (54.665) Prec@5 85.625 (83.571) Epoch: [68][1350/11272] Time 0.709 (0.796) Data 0.001 (0.004) Loss 1.8402 (1.6997) Prec@1 51.250 (54.660) Prec@5 80.000 (83.562) Epoch: [68][1360/11272] Time 0.908 (0.795) Data 0.002 (0.004) Loss 1.9265 (1.6999) Prec@1 50.000 (54.656) Prec@5 78.750 (83.559) Epoch: [68][1370/11272] Time 0.855 (0.796) Data 0.002 (0.004) Loss 1.8316 (1.7001) Prec@1 50.625 (54.647) Prec@5 80.000 (83.554) Epoch: [68][1380/11272] Time 0.743 (0.795) Data 0.002 (0.004) Loss 1.6717 (1.7000) Prec@1 56.875 (54.655) Prec@5 83.750 (83.553) Epoch: [68][1390/11272] Time 0.718 (0.796) Data 0.002 (0.004) Loss 1.8142 (1.6997) Prec@1 50.000 (54.652) Prec@5 80.625 (83.554) Epoch: [68][1400/11272] Time 0.852 (0.796) Data 0.002 (0.004) Loss 1.8561 (1.6998) Prec@1 50.625 (54.646) Prec@5 78.750 (83.548) Epoch: [68][1410/11272] Time 0.784 (0.795) Data 0.001 (0.004) Loss 1.7630 (1.6997) Prec@1 58.125 (54.654) Prec@5 78.125 (83.554) Epoch: [68][1420/11272] Time 0.729 (0.796) Data 0.002 (0.004) Loss 1.5588 (1.6997) Prec@1 60.625 (54.667) Prec@5 85.000 (83.546) Epoch: [68][1430/11272] Time 0.847 (0.796) Data 0.001 (0.004) Loss 1.4149 (1.6995) Prec@1 61.875 (54.662) Prec@5 85.625 (83.554) Epoch: [68][1440/11272] Time 0.821 (0.796) Data 0.001 (0.004) Loss 1.8840 (1.6996) Prec@1 54.375 (54.662) Prec@5 78.750 (83.550) Epoch: [68][1450/11272] Time 0.733 (0.795) Data 0.001 (0.004) Loss 1.8174 (1.6998) Prec@1 51.250 (54.663) Prec@5 81.250 (83.545) Epoch: [68][1460/11272] Time 0.719 (0.795) Data 0.001 (0.004) Loss 1.7611 (1.6996) Prec@1 54.375 (54.670) Prec@5 82.500 (83.556) Epoch: [68][1470/11272] Time 0.892 (0.795) Data 0.001 (0.004) Loss 1.5684 (1.6995) Prec@1 57.500 (54.673) Prec@5 88.125 (83.560) Epoch: [68][1480/11272] Time 0.848 (0.795) Data 0.001 (0.004) Loss 1.7152 (1.6995) Prec@1 55.625 (54.670) Prec@5 83.750 (83.565) Epoch: [68][1490/11272] Time 0.727 (0.795) Data 0.002 (0.004) Loss 1.6945 (1.6994) Prec@1 54.375 (54.666) Prec@5 85.625 (83.573) Epoch: [68][1500/11272] Time 0.736 (0.795) Data 0.001 (0.004) Loss 1.7087 (1.6993) Prec@1 56.875 (54.676) Prec@5 81.250 (83.575) Epoch: [68][1510/11272] Time 0.813 (0.795) Data 0.001 (0.004) Loss 1.8889 (1.6990) Prec@1 48.125 (54.685) Prec@5 81.250 (83.576) Epoch: [68][1520/11272] Time 0.816 (0.795) Data 0.002 (0.004) Loss 1.6642 (1.6992) Prec@1 60.000 (54.678) Prec@5 80.625 (83.569) Epoch: [68][1530/11272] Time 0.729 (0.795) Data 0.002 (0.004) Loss 1.7049 (1.6992) Prec@1 53.125 (54.681) Prec@5 80.625 (83.566) Epoch: [68][1540/11272] Time 0.723 (0.795) Data 0.001 (0.004) Loss 1.4467 (1.6988) Prec@1 60.000 (54.688) Prec@5 88.125 (83.577) Epoch: [68][1550/11272] Time 0.825 (0.795) Data 0.002 (0.004) Loss 1.6904 (1.6990) Prec@1 54.375 (54.676) Prec@5 83.125 (83.571) Epoch: [68][1560/11272] Time 0.712 (0.795) Data 0.004 (0.004) Loss 1.7711 (1.6992) Prec@1 55.625 (54.668) Prec@5 81.875 (83.573) Epoch: [68][1570/11272] Time 0.777 (0.795) Data 0.002 (0.004) Loss 1.7641 (1.6994) Prec@1 51.250 (54.657) Prec@5 83.125 (83.576) Epoch: [68][1580/11272] Time 0.909 (0.795) Data 0.002 (0.004) Loss 1.4815 (1.6993) Prec@1 59.375 (54.660) Prec@5 83.125 (83.567) Epoch: [68][1590/11272] Time 0.837 (0.795) Data 0.002 (0.004) Loss 1.4222 (1.6991) Prec@1 61.875 (54.661) Prec@5 89.375 (83.577) Epoch: [68][1600/11272] Time 0.720 (0.795) Data 0.002 (0.004) Loss 1.8604 (1.6996) Prec@1 51.250 (54.643) Prec@5 81.875 (83.570) Epoch: [68][1610/11272] Time 0.762 (0.795) Data 0.002 (0.004) Loss 1.7512 (1.6996) Prec@1 51.875 (54.654) Prec@5 83.750 (83.576) Epoch: [68][1620/11272] Time 0.805 (0.795) Data 0.002 (0.004) Loss 1.6475 (1.6994) Prec@1 56.250 (54.660) Prec@5 86.875 (83.578) Epoch: [68][1630/11272] Time 0.825 (0.795) Data 0.001 (0.004) Loss 1.9497 (1.6995) Prec@1 46.875 (54.655) Prec@5 78.750 (83.581) Epoch: [68][1640/11272] Time 0.736 (0.795) Data 0.002 (0.004) Loss 1.6643 (1.6992) Prec@1 56.875 (54.660) Prec@5 83.125 (83.587) Epoch: [68][1650/11272] Time 0.723 (0.795) Data 0.002 (0.004) Loss 1.6257 (1.6990) Prec@1 57.500 (54.666) Prec@5 86.250 (83.589) Epoch: [68][1660/11272] Time 0.854 (0.795) Data 0.002 (0.004) Loss 1.6947 (1.6990) Prec@1 53.750 (54.663) Prec@5 85.625 (83.593) Epoch: [68][1670/11272] Time 0.820 (0.795) Data 0.001 (0.003) Loss 1.7310 (1.6989) Prec@1 57.500 (54.664) Prec@5 84.375 (83.595) Epoch: [68][1680/11272] Time 0.721 (0.795) Data 0.001 (0.003) Loss 1.8093 (1.6988) Prec@1 49.375 (54.662) Prec@5 81.250 (83.596) Epoch: [68][1690/11272] Time 0.847 (0.795) Data 0.002 (0.003) Loss 1.7998 (1.6986) Prec@1 53.125 (54.665) Prec@5 78.750 (83.605) Epoch: [68][1700/11272] Time 0.839 (0.795) Data 0.001 (0.003) Loss 1.6480 (1.6985) Prec@1 55.000 (54.661) Prec@5 82.500 (83.607) Epoch: [68][1710/11272] Time 0.735 (0.795) Data 0.002 (0.003) Loss 1.4945 (1.6983) Prec@1 60.000 (54.669) Prec@5 85.000 (83.609) Epoch: [68][1720/11272] Time 0.752 (0.795) Data 0.002 (0.003) Loss 1.8213 (1.6982) Prec@1 53.750 (54.671) Prec@5 80.625 (83.612) Epoch: [68][1730/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 1.6171 (1.6981) Prec@1 56.875 (54.676) Prec@5 86.250 (83.616) Epoch: [68][1740/11272] Time 0.829 (0.794) Data 0.001 (0.003) Loss 1.5796 (1.6981) Prec@1 59.375 (54.682) Prec@5 87.500 (83.619) Epoch: [68][1750/11272] Time 0.731 (0.794) Data 0.001 (0.003) Loss 1.6453 (1.6982) Prec@1 51.875 (54.679) Prec@5 83.125 (83.615) Epoch: [68][1760/11272] Time 0.732 (0.794) Data 0.001 (0.003) Loss 1.7454 (1.6979) Prec@1 53.125 (54.689) Prec@5 80.625 (83.619) Epoch: [68][1770/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 1.7866 (1.6978) Prec@1 52.500 (54.692) Prec@5 85.000 (83.622) Epoch: [68][1780/11272] Time 0.866 (0.794) Data 0.001 (0.003) Loss 1.7373 (1.6981) Prec@1 53.125 (54.687) Prec@5 80.625 (83.615) Epoch: [68][1790/11272] Time 0.713 (0.794) Data 0.001 (0.003) Loss 1.4789 (1.6981) Prec@1 58.125 (54.686) Prec@5 86.250 (83.610) Epoch: [68][1800/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.9134 (1.6983) Prec@1 53.125 (54.684) Prec@5 77.500 (83.600) Epoch: [68][1810/11272] Time 0.910 (0.794) Data 0.002 (0.003) Loss 1.5221 (1.6983) Prec@1 56.250 (54.680) Prec@5 88.750 (83.605) Epoch: [68][1820/11272] Time 0.718 (0.794) Data 0.003 (0.003) Loss 1.9185 (1.6985) Prec@1 46.250 (54.679) Prec@5 80.000 (83.602) Epoch: [68][1830/11272] Time 0.704 (0.794) Data 0.001 (0.003) Loss 1.7499 (1.6986) Prec@1 51.875 (54.674) Prec@5 81.250 (83.596) Epoch: [68][1840/11272] Time 0.842 (0.794) Data 0.001 (0.003) Loss 1.5679 (1.6983) Prec@1 61.250 (54.682) Prec@5 85.000 (83.600) Epoch: [68][1850/11272] Time 0.845 (0.794) Data 0.002 (0.003) Loss 1.5585 (1.6976) Prec@1 57.500 (54.695) Prec@5 85.000 (83.609) Epoch: [68][1860/11272] Time 0.713 (0.794) Data 0.001 (0.003) Loss 1.5440 (1.6977) Prec@1 64.375 (54.698) Prec@5 87.500 (83.607) Epoch: [68][1870/11272] Time 0.742 (0.794) Data 0.001 (0.003) Loss 1.8123 (1.6977) Prec@1 48.125 (54.699) Prec@5 85.625 (83.606) Epoch: [68][1880/11272] Time 0.867 (0.794) Data 0.002 (0.003) Loss 1.6162 (1.6979) Prec@1 60.000 (54.695) Prec@5 88.125 (83.604) Epoch: [68][1890/11272] Time 0.864 (0.794) Data 0.001 (0.003) Loss 1.6130 (1.6976) Prec@1 53.750 (54.714) Prec@5 84.375 (83.608) Epoch: [68][1900/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 1.7525 (1.6976) Prec@1 50.625 (54.716) Prec@5 80.625 (83.605) Epoch: [68][1910/11272] Time 0.725 (0.794) Data 0.001 (0.003) Loss 1.8470 (1.6978) Prec@1 52.500 (54.710) Prec@5 80.625 (83.602) Epoch: [68][1920/11272] Time 0.867 (0.794) Data 0.001 (0.003) Loss 2.0024 (1.6982) Prec@1 49.375 (54.697) Prec@5 80.000 (83.599) Epoch: [68][1930/11272] Time 0.847 (0.794) Data 0.001 (0.003) Loss 1.5891 (1.6983) Prec@1 53.125 (54.690) Prec@5 85.000 (83.598) Epoch: [68][1940/11272] Time 0.719 (0.794) Data 0.002 (0.003) Loss 1.6551 (1.6980) Prec@1 57.500 (54.699) Prec@5 81.875 (83.598) Epoch: [68][1950/11272] Time 0.898 (0.794) Data 0.002 (0.003) Loss 1.5183 (1.6978) Prec@1 56.250 (54.703) Prec@5 85.000 (83.601) Epoch: [68][1960/11272] Time 0.843 (0.794) Data 0.001 (0.003) Loss 1.7745 (1.6978) Prec@1 55.625 (54.707) Prec@5 83.750 (83.599) Epoch: [68][1970/11272] Time 0.735 (0.794) Data 0.002 (0.003) Loss 1.8562 (1.6982) Prec@1 53.125 (54.701) Prec@5 80.625 (83.592) Epoch: [68][1980/11272] Time 0.744 (0.794) Data 0.002 (0.003) Loss 1.9129 (1.6983) Prec@1 48.125 (54.698) Prec@5 81.875 (83.595) Epoch: [68][1990/11272] Time 0.832 (0.794) Data 0.001 (0.003) Loss 1.9840 (1.6983) Prec@1 53.750 (54.706) Prec@5 74.375 (83.594) Epoch: [68][2000/11272] Time 0.810 (0.794) Data 0.001 (0.003) Loss 1.5627 (1.6983) Prec@1 63.125 (54.714) Prec@5 85.625 (83.598) Epoch: [68][2010/11272] Time 0.714 (0.794) Data 0.001 (0.003) Loss 1.5668 (1.6979) Prec@1 58.125 (54.722) Prec@5 85.625 (83.606) Epoch: [68][2020/11272] Time 0.723 (0.794) Data 0.002 (0.003) Loss 1.8496 (1.6980) Prec@1 48.750 (54.719) Prec@5 81.875 (83.601) Epoch: [68][2030/11272] Time 0.873 (0.794) Data 0.001 (0.003) Loss 1.8568 (1.6982) Prec@1 51.875 (54.715) Prec@5 81.250 (83.594) Epoch: [68][2040/11272] Time 0.853 (0.794) Data 0.003 (0.003) Loss 1.8425 (1.6979) Prec@1 46.875 (54.722) Prec@5 81.250 (83.594) Epoch: [68][2050/11272] Time 0.734 (0.794) Data 0.001 (0.003) Loss 1.9381 (1.6981) Prec@1 45.000 (54.713) Prec@5 80.625 (83.596) Epoch: [68][2060/11272] Time 0.731 (0.794) Data 0.002 (0.003) Loss 1.6831 (1.6981) Prec@1 56.875 (54.712) Prec@5 83.125 (83.592) Epoch: [68][2070/11272] Time 0.826 (0.794) Data 0.002 (0.003) Loss 1.6926 (1.6981) Prec@1 51.250 (54.709) Prec@5 84.375 (83.592) Epoch: [68][2080/11272] Time 0.860 (0.794) Data 0.002 (0.003) Loss 1.7025 (1.6980) Prec@1 52.500 (54.708) Prec@5 84.375 (83.600) Epoch: [68][2090/11272] Time 0.715 (0.794) Data 0.001 (0.003) Loss 1.5516 (1.6978) Prec@1 51.250 (54.711) Prec@5 88.750 (83.605) Epoch: [68][2100/11272] Time 0.871 (0.794) Data 0.002 (0.003) Loss 1.7512 (1.6976) Prec@1 53.125 (54.717) Prec@5 82.500 (83.608) Epoch: [68][2110/11272] Time 0.855 (0.794) Data 0.002 (0.003) Loss 1.9562 (1.6979) Prec@1 50.000 (54.713) Prec@5 80.000 (83.606) Epoch: [68][2120/11272] Time 0.725 (0.794) Data 0.001 (0.003) Loss 1.9217 (1.6978) Prec@1 48.125 (54.720) Prec@5 80.000 (83.606) Epoch: [68][2130/11272] Time 0.730 (0.794) Data 0.002 (0.003) Loss 1.5710 (1.6983) Prec@1 58.125 (54.713) Prec@5 86.250 (83.599) Epoch: [68][2140/11272] Time 0.837 (0.794) Data 0.002 (0.003) Loss 1.8446 (1.6984) Prec@1 52.500 (54.711) Prec@5 80.000 (83.597) Epoch: [68][2150/11272] Time 0.867 (0.794) Data 0.002 (0.003) Loss 1.7129 (1.6987) Prec@1 57.500 (54.707) Prec@5 82.500 (83.593) Epoch: [68][2160/11272] Time 0.712 (0.794) Data 0.001 (0.003) Loss 1.8816 (1.6985) Prec@1 54.375 (54.718) Prec@5 80.625 (83.595) Epoch: [68][2170/11272] Time 0.728 (0.794) Data 0.001 (0.003) Loss 1.6940 (1.6990) Prec@1 58.125 (54.703) Prec@5 82.500 (83.587) Epoch: [68][2180/11272] Time 0.862 (0.794) Data 0.001 (0.003) Loss 1.6399 (1.6991) Prec@1 53.750 (54.703) Prec@5 81.875 (83.588) Epoch: [68][2190/11272] Time 0.870 (0.794) Data 0.001 (0.003) Loss 1.6564 (1.6989) Prec@1 58.750 (54.706) Prec@5 85.625 (83.590) Epoch: [68][2200/11272] Time 0.738 (0.794) Data 0.002 (0.003) Loss 1.7105 (1.6990) Prec@1 51.250 (54.701) Prec@5 83.750 (83.591) Epoch: [68][2210/11272] Time 0.725 (0.794) Data 0.002 (0.003) Loss 1.6941 (1.6987) Prec@1 53.125 (54.703) Prec@5 81.250 (83.596) Epoch: [68][2220/11272] Time 0.818 (0.794) Data 0.001 (0.003) Loss 1.5592 (1.6985) Prec@1 56.250 (54.708) Prec@5 86.875 (83.596) Epoch: [68][2230/11272] Time 0.753 (0.794) Data 0.002 (0.003) Loss 1.6821 (1.6986) Prec@1 56.875 (54.712) Prec@5 81.875 (83.595) Epoch: [68][2240/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 1.9795 (1.6989) Prec@1 54.375 (54.709) Prec@5 78.125 (83.587) Epoch: [68][2250/11272] Time 0.880 (0.794) Data 0.002 (0.003) Loss 1.2878 (1.6986) Prec@1 59.375 (54.707) Prec@5 90.625 (83.591) Epoch: [68][2260/11272] Time 0.864 (0.794) Data 0.002 (0.003) Loss 1.5450 (1.6988) Prec@1 59.375 (54.703) Prec@5 85.000 (83.590) Epoch: [68][2270/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 1.6583 (1.6989) Prec@1 57.500 (54.694) Prec@5 86.875 (83.589) Epoch: [68][2280/11272] Time 0.731 (0.794) Data 0.002 (0.003) Loss 1.6872 (1.6990) Prec@1 54.375 (54.692) Prec@5 85.000 (83.589) Epoch: [68][2290/11272] Time 0.844 (0.794) Data 0.002 (0.003) Loss 1.6601 (1.6991) Prec@1 56.875 (54.694) Prec@5 83.125 (83.588) Epoch: [68][2300/11272] Time 0.846 (0.794) Data 0.001 (0.003) Loss 1.7043 (1.6989) Prec@1 53.125 (54.694) Prec@5 84.375 (83.589) Epoch: [68][2310/11272] Time 0.720 (0.794) Data 0.001 (0.003) Loss 1.3326 (1.6989) Prec@1 66.875 (54.699) Prec@5 90.000 (83.589) Epoch: [68][2320/11272] Time 0.709 (0.794) Data 0.001 (0.003) Loss 1.6574 (1.6989) Prec@1 52.500 (54.704) Prec@5 80.625 (83.583) Epoch: [68][2330/11272] Time 0.855 (0.794) Data 0.002 (0.003) Loss 1.7311 (1.6990) Prec@1 50.625 (54.702) Prec@5 83.750 (83.581) Epoch: [68][2340/11272] Time 0.866 (0.794) Data 0.002 (0.003) Loss 1.6838 (1.6990) Prec@1 54.375 (54.705) Prec@5 83.750 (83.581) Epoch: [68][2350/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.6494 (1.6990) Prec@1 56.250 (54.701) Prec@5 81.875 (83.578) Epoch: [68][2360/11272] Time 0.844 (0.794) Data 0.002 (0.003) Loss 1.4579 (1.6990) Prec@1 60.625 (54.705) Prec@5 88.750 (83.577) Epoch: [68][2370/11272] Time 0.816 (0.794) Data 0.001 (0.003) Loss 1.6864 (1.6989) Prec@1 55.000 (54.708) Prec@5 82.500 (83.574) Epoch: [68][2380/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.7571 (1.6987) Prec@1 53.750 (54.715) Prec@5 79.375 (83.574) Epoch: [68][2390/11272] Time 0.705 (0.794) Data 0.002 (0.003) Loss 1.7300 (1.6988) Prec@1 51.250 (54.710) Prec@5 81.250 (83.576) Epoch: [68][2400/11272] Time 0.854 (0.794) Data 0.002 (0.003) Loss 1.6421 (1.6989) Prec@1 53.750 (54.704) Prec@5 86.875 (83.576) Epoch: [68][2410/11272] Time 0.846 (0.794) Data 0.001 (0.003) Loss 1.7589 (1.6991) Prec@1 53.125 (54.697) Prec@5 83.125 (83.573) Epoch: [68][2420/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.7166 (1.6994) Prec@1 53.125 (54.691) Prec@5 81.875 (83.566) Epoch: [68][2430/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 1.5621 (1.6992) Prec@1 58.125 (54.692) Prec@5 90.000 (83.572) Epoch: [68][2440/11272] Time 0.857 (0.794) Data 0.001 (0.003) Loss 1.7669 (1.6993) Prec@1 53.750 (54.687) Prec@5 81.875 (83.573) Epoch: [68][2450/11272] Time 0.831 (0.794) Data 0.001 (0.003) Loss 1.5988 (1.6993) Prec@1 60.000 (54.687) Prec@5 81.875 (83.577) Epoch: [68][2460/11272] Time 0.725 (0.794) Data 0.002 (0.003) Loss 1.7818 (1.6994) Prec@1 52.500 (54.681) Prec@5 78.125 (83.576) Epoch: [68][2470/11272] Time 0.724 (0.794) Data 0.001 (0.003) Loss 1.5989 (1.6992) Prec@1 57.500 (54.684) Prec@5 85.000 (83.580) Epoch: [68][2480/11272] Time 0.850 (0.794) Data 0.001 (0.003) Loss 1.8340 (1.6993) Prec@1 48.125 (54.677) Prec@5 82.500 (83.580) Epoch: [68][2490/11272] Time 0.711 (0.794) Data 0.003 (0.003) Loss 1.6155 (1.6993) Prec@1 56.875 (54.677) Prec@5 85.000 (83.583) Epoch: [68][2500/11272] Time 0.739 (0.794) Data 0.002 (0.003) Loss 1.7090 (1.6991) Prec@1 51.875 (54.674) Prec@5 85.000 (83.587) Epoch: [68][2510/11272] Time 0.833 (0.794) Data 0.002 (0.003) Loss 1.7247 (1.6991) Prec@1 55.000 (54.669) Prec@5 83.750 (83.586) Epoch: [68][2520/11272] Time 0.837 (0.794) Data 0.002 (0.003) Loss 1.8489 (1.6989) Prec@1 54.375 (54.669) Prec@5 80.000 (83.583) Epoch: [68][2530/11272] Time 0.706 (0.794) Data 0.001 (0.003) Loss 1.8417 (1.6989) Prec@1 55.000 (54.672) Prec@5 83.125 (83.585) Epoch: [68][2540/11272] Time 0.744 (0.794) Data 0.002 (0.003) Loss 1.8802 (1.6991) Prec@1 50.625 (54.668) Prec@5 77.500 (83.580) Epoch: [68][2550/11272] Time 0.810 (0.794) Data 0.001 (0.003) Loss 1.4630 (1.6988) Prec@1 58.750 (54.674) Prec@5 88.750 (83.585) Epoch: [68][2560/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 1.6616 (1.6987) Prec@1 53.750 (54.675) Prec@5 86.875 (83.588) Epoch: [68][2570/11272] Time 0.713 (0.794) Data 0.002 (0.003) Loss 1.7257 (1.6989) Prec@1 55.000 (54.673) Prec@5 81.250 (83.581) Epoch: [68][2580/11272] Time 0.732 (0.793) Data 0.002 (0.003) Loss 1.6184 (1.6990) Prec@1 56.875 (54.676) Prec@5 85.000 (83.584) Epoch: [68][2590/11272] Time 0.860 (0.793) Data 0.001 (0.003) Loss 1.7889 (1.6987) Prec@1 55.000 (54.679) Prec@5 78.125 (83.590) Epoch: [68][2600/11272] Time 0.862 (0.793) Data 0.002 (0.003) Loss 1.6965 (1.6986) Prec@1 51.875 (54.682) Prec@5 83.125 (83.592) Epoch: [68][2610/11272] Time 0.690 (0.793) Data 0.001 (0.003) Loss 1.5722 (1.6984) Prec@1 56.875 (54.685) Prec@5 88.750 (83.596) Epoch: [68][2620/11272] Time 0.872 (0.793) Data 0.002 (0.003) Loss 1.7145 (1.6985) Prec@1 50.625 (54.682) Prec@5 87.500 (83.597) Epoch: [68][2630/11272] Time 0.846 (0.793) Data 0.001 (0.003) Loss 1.9205 (1.6985) Prec@1 54.375 (54.682) Prec@5 79.375 (83.601) Epoch: [68][2640/11272] Time 0.725 (0.793) Data 0.001 (0.003) Loss 1.6101 (1.6982) Prec@1 54.375 (54.685) Prec@5 86.250 (83.607) Epoch: [68][2650/11272] Time 0.722 (0.793) Data 0.002 (0.003) Loss 1.8796 (1.6982) Prec@1 48.125 (54.683) Prec@5 78.125 (83.606) Epoch: [68][2660/11272] Time 0.892 (0.793) Data 0.002 (0.003) Loss 1.6965 (1.6984) Prec@1 51.250 (54.672) Prec@5 85.625 (83.604) Epoch: [68][2670/11272] Time 0.833 (0.793) Data 0.001 (0.003) Loss 1.7537 (1.6980) Prec@1 56.250 (54.678) Prec@5 85.625 (83.612) Epoch: [68][2680/11272] Time 0.735 (0.793) Data 0.002 (0.003) Loss 1.5688 (1.6981) Prec@1 57.500 (54.675) Prec@5 85.000 (83.612) Epoch: [68][2690/11272] Time 0.731 (0.793) Data 0.002 (0.003) Loss 1.6324 (1.6977) Prec@1 56.875 (54.685) Prec@5 83.125 (83.618) Epoch: [68][2700/11272] Time 0.852 (0.793) Data 0.001 (0.003) Loss 1.6088 (1.6974) Prec@1 55.000 (54.693) Prec@5 87.500 (83.623) Epoch: [68][2710/11272] Time 0.839 (0.793) Data 0.002 (0.003) Loss 1.6404 (1.6973) Prec@1 53.125 (54.693) Prec@5 83.125 (83.620) Epoch: [68][2720/11272] Time 0.713 (0.793) Data 0.001 (0.003) Loss 1.8666 (1.6975) Prec@1 49.375 (54.689) Prec@5 85.625 (83.621) Epoch: [68][2730/11272] Time 0.739 (0.793) Data 0.002 (0.003) Loss 1.4483 (1.6975) Prec@1 59.375 (54.688) Prec@5 90.000 (83.624) Epoch: [68][2740/11272] Time 0.878 (0.793) Data 0.002 (0.003) Loss 1.6819 (1.6975) Prec@1 56.250 (54.690) Prec@5 81.875 (83.623) Epoch: [68][2750/11272] Time 0.719 (0.793) Data 0.004 (0.003) Loss 1.6711 (1.6977) Prec@1 48.750 (54.680) Prec@5 86.875 (83.627) Epoch: [68][2760/11272] Time 0.729 (0.793) Data 0.002 (0.003) Loss 1.7056 (1.6975) Prec@1 53.750 (54.684) Prec@5 83.750 (83.627) Epoch: [68][2770/11272] Time 0.866 (0.793) Data 0.002 (0.003) Loss 1.4259 (1.6975) Prec@1 63.750 (54.689) Prec@5 87.500 (83.629) Epoch: [68][2780/11272] Time 0.875 (0.793) Data 0.001 (0.003) Loss 1.8096 (1.6976) Prec@1 52.500 (54.686) Prec@5 80.000 (83.630) Epoch: [68][2790/11272] Time 0.735 (0.793) Data 0.002 (0.003) Loss 1.8811 (1.6974) Prec@1 51.250 (54.690) Prec@5 78.125 (83.632) Epoch: [68][2800/11272] Time 0.744 (0.793) Data 0.002 (0.003) Loss 1.8083 (1.6974) Prec@1 45.000 (54.691) Prec@5 80.000 (83.630) Epoch: [68][2810/11272] Time 0.871 (0.793) Data 0.002 (0.003) Loss 1.7832 (1.6974) Prec@1 53.125 (54.689) Prec@5 81.250 (83.630) Epoch: [68][2820/11272] Time 0.840 (0.793) Data 0.001 (0.003) Loss 1.6138 (1.6973) Prec@1 58.750 (54.698) Prec@5 85.000 (83.631) Epoch: [68][2830/11272] Time 0.738 (0.793) Data 0.002 (0.003) Loss 1.7946 (1.6974) Prec@1 56.875 (54.697) Prec@5 81.875 (83.628) Epoch: [68][2840/11272] Time 0.789 (0.793) Data 0.001 (0.003) Loss 1.8530 (1.6976) Prec@1 51.875 (54.697) Prec@5 83.125 (83.623) Epoch: [68][2850/11272] Time 0.819 (0.793) Data 0.003 (0.003) Loss 1.9224 (1.6975) Prec@1 46.250 (54.700) Prec@5 83.750 (83.627) Epoch: [68][2860/11272] Time 0.863 (0.793) Data 0.002 (0.003) Loss 1.8538 (1.6976) Prec@1 51.875 (54.701) Prec@5 81.875 (83.623) Epoch: [68][2870/11272] Time 0.758 (0.793) Data 0.002 (0.003) Loss 1.7446 (1.6974) Prec@1 55.625 (54.705) Prec@5 79.375 (83.625) Epoch: [68][2880/11272] Time 0.859 (0.793) Data 0.001 (0.003) Loss 1.9287 (1.6974) Prec@1 51.250 (54.709) Prec@5 77.500 (83.627) Epoch: [68][2890/11272] Time 0.885 (0.793) Data 0.001 (0.003) Loss 1.8686 (1.6974) Prec@1 49.375 (54.709) Prec@5 85.000 (83.627) Epoch: [68][2900/11272] Time 0.723 (0.793) Data 0.002 (0.003) Loss 1.7053 (1.6975) Prec@1 51.875 (54.702) Prec@5 81.875 (83.630) Epoch: [68][2910/11272] Time 0.775 (0.793) Data 0.001 (0.003) Loss 1.7474 (1.6976) Prec@1 51.250 (54.704) Prec@5 83.125 (83.629) Epoch: [68][2920/11272] Time 0.876 (0.793) Data 0.002 (0.003) Loss 1.5444 (1.6975) Prec@1 57.500 (54.701) Prec@5 85.000 (83.630) Epoch: [68][2930/11272] Time 0.803 (0.793) Data 0.002 (0.003) Loss 1.6894 (1.6978) Prec@1 61.875 (54.694) Prec@5 80.625 (83.624) Epoch: [68][2940/11272] Time 0.718 (0.793) Data 0.001 (0.003) Loss 1.7947 (1.6980) Prec@1 50.625 (54.691) Prec@5 82.500 (83.621) Epoch: [68][2950/11272] Time 0.722 (0.793) Data 0.002 (0.003) Loss 1.9060 (1.6980) Prec@1 47.500 (54.688) Prec@5 81.250 (83.621) Epoch: [68][2960/11272] Time 0.879 (0.793) Data 0.001 (0.003) Loss 1.6526 (1.6982) Prec@1 55.625 (54.683) Prec@5 83.125 (83.617) Epoch: [68][2970/11272] Time 0.865 (0.793) Data 0.002 (0.003) Loss 1.6749 (1.6982) Prec@1 55.000 (54.686) Prec@5 81.250 (83.615) Epoch: [68][2980/11272] Time 0.742 (0.793) Data 0.001 (0.003) Loss 1.6234 (1.6982) Prec@1 54.375 (54.686) Prec@5 85.625 (83.615) Epoch: [68][2990/11272] Time 0.749 (0.793) Data 0.002 (0.003) Loss 1.7556 (1.6981) Prec@1 53.750 (54.689) Prec@5 80.625 (83.612) Epoch: [68][3000/11272] Time 0.866 (0.793) Data 0.002 (0.003) Loss 1.6203 (1.6983) Prec@1 55.000 (54.682) Prec@5 86.875 (83.610) Epoch: [68][3010/11272] Time 0.846 (0.793) Data 0.001 (0.003) Loss 1.7374 (1.6983) Prec@1 58.125 (54.683) Prec@5 83.750 (83.613) Epoch: [68][3020/11272] Time 0.756 (0.793) Data 0.002 (0.003) Loss 1.8311 (1.6985) Prec@1 50.625 (54.674) Prec@5 80.625 (83.614) Epoch: [68][3030/11272] Time 0.834 (0.793) Data 0.002 (0.003) Loss 1.7176 (1.6983) Prec@1 55.000 (54.677) Prec@5 86.250 (83.615) Epoch: [68][3040/11272] Time 0.977 (0.794) Data 0.002 (0.003) Loss 1.7510 (1.6984) Prec@1 56.875 (54.677) Prec@5 81.875 (83.617) Epoch: [68][3050/11272] Time 0.740 (0.794) Data 0.001 (0.003) Loss 1.7722 (1.6986) Prec@1 50.000 (54.668) Prec@5 80.000 (83.618) Epoch: [68][3060/11272] Time 0.731 (0.793) Data 0.005 (0.003) Loss 1.6272 (1.6986) Prec@1 55.000 (54.667) Prec@5 84.375 (83.617) Epoch: [68][3070/11272] Time 0.902 (0.794) Data 0.002 (0.003) Loss 1.7126 (1.6987) Prec@1 55.625 (54.660) Prec@5 83.750 (83.616) Epoch: [68][3080/11272] Time 0.862 (0.794) Data 0.002 (0.003) Loss 1.6246 (1.6989) Prec@1 53.750 (54.657) Prec@5 85.625 (83.613) Epoch: [68][3090/11272] Time 0.716 (0.793) Data 0.001 (0.003) Loss 1.7823 (1.6989) Prec@1 54.375 (54.658) Prec@5 81.250 (83.613) Epoch: [68][3100/11272] Time 0.727 (0.793) Data 0.001 (0.003) Loss 1.6473 (1.6990) Prec@1 56.875 (54.657) Prec@5 86.250 (83.610) Epoch: [68][3110/11272] Time 0.893 (0.794) Data 0.002 (0.003) Loss 1.5979 (1.6991) Prec@1 52.500 (54.652) Prec@5 86.875 (83.607) Epoch: [68][3120/11272] Time 0.865 (0.793) Data 0.003 (0.003) Loss 1.6595 (1.6992) Prec@1 55.000 (54.649) Prec@5 85.000 (83.604) Epoch: [68][3130/11272] Time 0.733 (0.793) Data 0.002 (0.003) Loss 1.6431 (1.6990) Prec@1 55.000 (54.651) Prec@5 86.875 (83.607) Epoch: [68][3140/11272] Time 0.802 (0.794) Data 0.001 (0.003) Loss 1.9129 (1.6991) Prec@1 46.875 (54.649) Prec@5 80.625 (83.606) Epoch: [68][3150/11272] Time 0.857 (0.794) Data 0.001 (0.003) Loss 2.0045 (1.6993) Prec@1 44.375 (54.643) Prec@5 81.250 (83.605) Epoch: [68][3160/11272] Time 0.719 (0.794) Data 0.001 (0.003) Loss 1.8259 (1.6994) Prec@1 51.875 (54.639) Prec@5 82.500 (83.603) Epoch: [68][3170/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.4652 (1.6992) Prec@1 58.750 (54.637) Prec@5 86.250 (83.606) Epoch: [68][3180/11272] Time 0.836 (0.794) Data 0.001 (0.003) Loss 1.7568 (1.6994) Prec@1 53.125 (54.634) Prec@5 83.750 (83.604) Epoch: [68][3190/11272] Time 0.829 (0.794) Data 0.001 (0.003) Loss 1.6915 (1.6995) Prec@1 56.875 (54.635) Prec@5 84.375 (83.600) Epoch: [68][3200/11272] Time 0.721 (0.794) Data 0.003 (0.003) Loss 1.7611 (1.6995) Prec@1 51.875 (54.631) Prec@5 86.250 (83.600) Epoch: [68][3210/11272] Time 0.756 (0.794) Data 0.002 (0.003) Loss 1.7201 (1.6995) Prec@1 53.125 (54.632) Prec@5 87.500 (83.601) Epoch: [68][3220/11272] Time 0.850 (0.794) Data 0.002 (0.003) Loss 1.9733 (1.6997) Prec@1 48.750 (54.628) Prec@5 80.625 (83.597) Epoch: [68][3230/11272] Time 0.831 (0.794) Data 0.002 (0.003) Loss 1.6100 (1.6996) Prec@1 58.125 (54.628) Prec@5 80.625 (83.595) Epoch: [68][3240/11272] Time 0.712 (0.794) Data 0.002 (0.003) Loss 1.7679 (1.6993) Prec@1 57.500 (54.635) Prec@5 83.125 (83.601) Epoch: [68][3250/11272] Time 0.715 (0.793) Data 0.001 (0.003) Loss 1.5231 (1.6993) Prec@1 58.750 (54.636) Prec@5 85.625 (83.601) Epoch: [68][3260/11272] Time 0.837 (0.794) Data 0.002 (0.003) Loss 1.8899 (1.6994) Prec@1 50.000 (54.634) Prec@5 81.875 (83.599) Epoch: [68][3270/11272] Time 0.835 (0.794) Data 0.002 (0.003) Loss 1.6301 (1.6992) Prec@1 56.250 (54.640) Prec@5 85.625 (83.605) Epoch: [68][3280/11272] Time 0.752 (0.794) Data 0.003 (0.003) Loss 1.6390 (1.6992) Prec@1 56.875 (54.636) Prec@5 84.375 (83.604) Epoch: [68][3290/11272] Time 0.848 (0.794) Data 0.002 (0.003) Loss 1.7109 (1.6993) Prec@1 55.625 (54.640) Prec@5 82.500 (83.601) Epoch: [68][3300/11272] Time 0.874 (0.794) Data 0.002 (0.003) Loss 1.9161 (1.6993) Prec@1 50.625 (54.634) Prec@5 80.000 (83.603) Epoch: [68][3310/11272] Time 0.726 (0.793) Data 0.001 (0.003) Loss 1.8472 (1.6996) Prec@1 53.125 (54.628) Prec@5 79.375 (83.595) Epoch: [68][3320/11272] Time 0.736 (0.793) Data 0.001 (0.003) Loss 1.7661 (1.6996) Prec@1 53.750 (54.628) Prec@5 84.375 (83.595) Epoch: [68][3330/11272] Time 0.858 (0.793) Data 0.002 (0.003) Loss 1.9154 (1.6997) Prec@1 43.750 (54.625) Prec@5 81.875 (83.593) Epoch: [68][3340/11272] Time 0.784 (0.793) Data 0.001 (0.003) Loss 1.4271 (1.6997) Prec@1 60.000 (54.627) Prec@5 88.750 (83.594) Epoch: [68][3350/11272] Time 0.737 (0.793) Data 0.001 (0.003) Loss 1.4911 (1.6998) Prec@1 57.500 (54.623) Prec@5 88.125 (83.595) Epoch: [68][3360/11272] Time 0.727 (0.793) Data 0.002 (0.003) Loss 1.7425 (1.6997) Prec@1 54.375 (54.624) Prec@5 82.500 (83.594) Epoch: [68][3370/11272] Time 0.850 (0.793) Data 0.002 (0.003) Loss 1.8197 (1.6998) Prec@1 55.000 (54.621) Prec@5 80.000 (83.593) Epoch: [68][3380/11272] Time 0.818 (0.793) Data 0.001 (0.003) Loss 1.6213 (1.6998) Prec@1 58.750 (54.621) Prec@5 84.375 (83.591) Epoch: [68][3390/11272] Time 0.703 (0.793) Data 0.001 (0.003) Loss 1.7892 (1.6997) Prec@1 52.500 (54.625) Prec@5 80.625 (83.593) Epoch: [68][3400/11272] Time 0.714 (0.793) Data 0.001 (0.003) Loss 1.9138 (1.6998) Prec@1 50.000 (54.622) Prec@5 80.000 (83.594) Epoch: [68][3410/11272] Time 0.845 (0.793) Data 0.001 (0.003) Loss 1.7690 (1.6998) Prec@1 57.500 (54.622) Prec@5 81.250 (83.593) Epoch: [68][3420/11272] Time 0.748 (0.793) Data 0.003 (0.003) Loss 1.9181 (1.6998) Prec@1 49.375 (54.622) Prec@5 78.750 (83.590) Epoch: [68][3430/11272] Time 0.774 (0.793) Data 0.002 (0.003) Loss 1.8276 (1.7000) Prec@1 51.250 (54.618) Prec@5 81.250 (83.586) Epoch: [68][3440/11272] Time 0.884 (0.793) Data 0.002 (0.003) Loss 2.0781 (1.7000) Prec@1 45.000 (54.615) Prec@5 77.500 (83.587) Epoch: [68][3450/11272] Time 0.861 (0.793) Data 0.001 (0.003) Loss 1.8650 (1.7000) Prec@1 55.000 (54.614) Prec@5 76.875 (83.587) Epoch: [68][3460/11272] Time 0.688 (0.793) Data 0.001 (0.003) Loss 1.6499 (1.7002) Prec@1 51.875 (54.606) Prec@5 83.125 (83.584) Epoch: [68][3470/11272] Time 0.744 (0.793) Data 0.001 (0.003) Loss 1.7556 (1.7002) Prec@1 55.000 (54.606) Prec@5 81.250 (83.581) Epoch: [68][3480/11272] Time 0.836 (0.793) Data 0.002 (0.003) Loss 1.8235 (1.7001) Prec@1 50.625 (54.612) Prec@5 85.625 (83.584) Epoch: [68][3490/11272] Time 0.843 (0.793) Data 0.002 (0.003) Loss 2.0036 (1.7004) Prec@1 45.000 (54.606) Prec@5 80.625 (83.579) Epoch: [68][3500/11272] Time 0.751 (0.793) Data 0.002 (0.003) Loss 1.6510 (1.7005) Prec@1 55.625 (54.598) Prec@5 84.375 (83.578) Epoch: [68][3510/11272] Time 0.725 (0.793) Data 0.001 (0.003) Loss 1.6504 (1.7003) Prec@1 59.375 (54.603) Prec@5 81.875 (83.579) Epoch: [68][3520/11272] Time 0.851 (0.793) Data 0.002 (0.003) Loss 1.6467 (1.7005) Prec@1 58.750 (54.599) Prec@5 85.000 (83.575) Epoch: [68][3530/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 1.7396 (1.7005) Prec@1 51.875 (54.597) Prec@5 83.750 (83.577) Epoch: [68][3540/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.3863 (1.7004) Prec@1 63.125 (54.601) Prec@5 84.375 (83.577) Epoch: [68][3550/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.5700 (1.7004) Prec@1 53.750 (54.598) Prec@5 89.375 (83.583) Epoch: [68][3560/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 1.6582 (1.7005) Prec@1 54.375 (54.592) Prec@5 85.625 (83.582) Epoch: [68][3570/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.6040 (1.7003) Prec@1 59.375 (54.593) Prec@5 81.875 (83.584) Epoch: [68][3580/11272] Time 0.755 (0.793) Data 0.001 (0.002) Loss 1.9249 (1.7006) Prec@1 47.500 (54.588) Prec@5 78.125 (83.579) Epoch: [68][3590/11272] Time 0.901 (0.793) Data 0.002 (0.002) Loss 1.9571 (1.7007) Prec@1 50.625 (54.584) Prec@5 79.375 (83.577) Epoch: [68][3600/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.4505 (1.7007) Prec@1 60.000 (54.587) Prec@5 88.125 (83.577) Epoch: [68][3610/11272] Time 0.749 (0.793) Data 0.004 (0.002) Loss 1.6765 (1.7008) Prec@1 57.500 (54.588) Prec@5 86.875 (83.576) Epoch: [68][3620/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.7185 (1.7009) Prec@1 56.250 (54.584) Prec@5 83.125 (83.574) Epoch: [68][3630/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 1.6221 (1.7007) Prec@1 53.750 (54.585) Prec@5 85.000 (83.579) Epoch: [68][3640/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 1.7946 (1.7007) Prec@1 55.000 (54.587) Prec@5 81.250 (83.577) Epoch: [68][3650/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.7197 (1.7005) Prec@1 60.000 (54.594) Prec@5 81.875 (83.578) Epoch: [68][3660/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.5659 (1.7004) Prec@1 55.000 (54.598) Prec@5 85.625 (83.582) Epoch: [68][3670/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.7540 (1.7006) Prec@1 55.000 (54.599) Prec@5 84.375 (83.581) Epoch: [68][3680/11272] Time 0.710 (0.793) Data 0.003 (0.002) Loss 1.5399 (1.7003) Prec@1 56.875 (54.603) Prec@5 86.250 (83.586) Epoch: [68][3690/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.7589 (1.7003) Prec@1 53.125 (54.606) Prec@5 83.125 (83.586) Epoch: [68][3700/11272] Time 0.865 (0.793) Data 0.002 (0.002) Loss 1.6840 (1.7002) Prec@1 56.250 (54.610) Prec@5 82.500 (83.588) Epoch: [68][3710/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.7900 (1.7004) Prec@1 51.250 (54.605) Prec@5 80.000 (83.582) Epoch: [68][3720/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.8044 (1.7004) Prec@1 50.625 (54.600) Prec@5 81.250 (83.580) Epoch: [68][3730/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.7974 (1.7006) Prec@1 50.625 (54.594) Prec@5 81.250 (83.577) Epoch: [68][3740/11272] Time 0.871 (0.793) Data 0.002 (0.002) Loss 1.9681 (1.7008) Prec@1 51.875 (54.587) Prec@5 80.000 (83.575) Epoch: [68][3750/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.8376 (1.7008) Prec@1 55.000 (54.588) Prec@5 81.250 (83.576) Epoch: [68][3760/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 1.7609 (1.7010) Prec@1 51.250 (54.586) Prec@5 82.500 (83.571) Epoch: [68][3770/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 1.7853 (1.7009) Prec@1 53.750 (54.584) Prec@5 81.250 (83.570) Epoch: [68][3780/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.7162 (1.7010) Prec@1 52.500 (54.585) Prec@5 86.250 (83.568) Epoch: [68][3790/11272] Time 0.871 (0.793) Data 0.002 (0.002) Loss 1.6203 (1.7009) Prec@1 59.375 (54.588) Prec@5 85.000 (83.570) Epoch: [68][3800/11272] Time 0.773 (0.793) Data 0.002 (0.002) Loss 1.6984 (1.7008) Prec@1 56.875 (54.588) Prec@5 81.250 (83.572) Epoch: [68][3810/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.7053 (1.7008) Prec@1 55.000 (54.587) Prec@5 85.625 (83.569) Epoch: [68][3820/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.6753 (1.7009) Prec@1 56.250 (54.585) Prec@5 80.625 (83.568) Epoch: [68][3830/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.8092 (1.7007) Prec@1 52.500 (54.583) Prec@5 79.375 (83.572) Epoch: [68][3840/11272] Time 0.697 (0.793) Data 0.001 (0.002) Loss 1.6636 (1.7006) Prec@1 56.250 (54.587) Prec@5 84.375 (83.569) Epoch: [68][3850/11272] Time 0.859 (0.793) Data 0.001 (0.002) Loss 1.7790 (1.7008) Prec@1 55.000 (54.585) Prec@5 80.000 (83.567) Epoch: [68][3860/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 1.7339 (1.7009) Prec@1 55.000 (54.579) Prec@5 81.875 (83.563) Epoch: [68][3870/11272] Time 0.731 (0.793) Data 0.003 (0.002) Loss 1.7100 (1.7009) Prec@1 53.125 (54.580) Prec@5 83.125 (83.564) Epoch: [68][3880/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.7656 (1.7008) Prec@1 52.500 (54.583) Prec@5 81.875 (83.564) Epoch: [68][3890/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 1.7070 (1.7008) Prec@1 56.875 (54.586) Prec@5 81.875 (83.565) Epoch: [68][3900/11272] Time 0.828 (0.793) Data 0.002 (0.002) Loss 1.6281 (1.7009) Prec@1 55.625 (54.585) Prec@5 84.375 (83.562) Epoch: [68][3910/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.9837 (1.7009) Prec@1 49.375 (54.583) Prec@5 80.000 (83.564) Epoch: [68][3920/11272] Time 0.711 (0.793) Data 0.001 (0.002) Loss 1.6214 (1.7010) Prec@1 63.125 (54.581) Prec@5 84.375 (83.562) Epoch: [68][3930/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 1.7094 (1.7010) Prec@1 53.750 (54.580) Prec@5 84.375 (83.562) Epoch: [68][3940/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.6739 (1.7011) Prec@1 51.250 (54.576) Prec@5 86.250 (83.557) Epoch: [68][3950/11272] Time 0.779 (0.793) Data 0.001 (0.002) Loss 1.5301 (1.7010) Prec@1 56.875 (54.579) Prec@5 84.375 (83.557) Epoch: [68][3960/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.7463 (1.7011) Prec@1 57.500 (54.580) Prec@5 80.000 (83.557) Epoch: [68][3970/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.5684 (1.7009) Prec@1 62.500 (54.585) Prec@5 82.500 (83.559) Epoch: [68][3980/11272] Time 0.760 (0.793) Data 0.001 (0.002) Loss 1.8984 (1.7010) Prec@1 48.750 (54.582) Prec@5 78.750 (83.558) Epoch: [68][3990/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.6733 (1.7009) Prec@1 51.875 (54.584) Prec@5 85.625 (83.559) Epoch: [68][4000/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.8162 (1.7010) Prec@1 50.625 (54.582) Prec@5 81.250 (83.556) Epoch: [68][4010/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.7828 (1.7011) Prec@1 56.875 (54.582) Prec@5 81.875 (83.553) Epoch: [68][4020/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7239 (1.7011) Prec@1 53.125 (54.581) Prec@5 82.500 (83.554) Epoch: [68][4030/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.6441 (1.7010) Prec@1 53.125 (54.582) Prec@5 83.750 (83.553) Epoch: [68][4040/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 1.7778 (1.7010) Prec@1 53.125 (54.582) Prec@5 80.625 (83.552) Epoch: [68][4050/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 1.7191 (1.7012) Prec@1 56.250 (54.577) Prec@5 82.500 (83.549) Epoch: [68][4060/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.6199 (1.7011) Prec@1 52.500 (54.575) Prec@5 86.875 (83.553) Epoch: [68][4070/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.5655 (1.7013) Prec@1 53.750 (54.571) Prec@5 85.000 (83.552) Epoch: [68][4080/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 1.5275 (1.7012) Prec@1 58.125 (54.573) Prec@5 88.125 (83.553) Epoch: [68][4090/11272] Time 0.731 (0.793) Data 0.002 (0.002) Loss 1.5192 (1.7010) Prec@1 60.000 (54.579) Prec@5 85.625 (83.556) Epoch: [68][4100/11272] Time 0.752 (0.793) Data 0.002 (0.002) Loss 1.8505 (1.7011) Prec@1 55.625 (54.578) Prec@5 81.250 (83.556) Epoch: [68][4110/11272] Time 0.884 (0.793) Data 0.002 (0.002) Loss 1.6651 (1.7012) Prec@1 55.625 (54.575) Prec@5 83.750 (83.554) Epoch: [68][4120/11272] Time 0.842 (0.793) Data 0.002 (0.002) Loss 1.5015 (1.7013) Prec@1 55.000 (54.573) Prec@5 86.875 (83.554) Epoch: [68][4130/11272] Time 0.755 (0.793) Data 0.001 (0.002) Loss 1.8461 (1.7013) Prec@1 51.250 (54.568) Prec@5 83.125 (83.555) Epoch: [68][4140/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.7347 (1.7013) Prec@1 55.000 (54.567) Prec@5 84.375 (83.556) Epoch: [68][4150/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 1.7057 (1.7013) Prec@1 59.375 (54.569) Prec@5 82.500 (83.555) Epoch: [68][4160/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.7235 (1.7014) Prec@1 53.750 (54.568) Prec@5 83.125 (83.552) Epoch: [68][4170/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.5137 (1.7012) Prec@1 58.125 (54.577) Prec@5 86.875 (83.556) Epoch: [68][4180/11272] Time 0.731 (0.793) Data 0.002 (0.002) Loss 1.7330 (1.7013) Prec@1 51.250 (54.574) Prec@5 84.375 (83.554) Epoch: [68][4190/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.7336 (1.7015) Prec@1 53.750 (54.570) Prec@5 83.750 (83.550) Epoch: [68][4200/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.7676 (1.7015) Prec@1 53.750 (54.571) Prec@5 83.125 (83.547) Epoch: [68][4210/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.7836 (1.7017) Prec@1 53.125 (54.564) Prec@5 81.875 (83.545) Epoch: [68][4220/11272] Time 0.895 (0.793) Data 0.001 (0.002) Loss 1.6596 (1.7019) Prec@1 55.625 (54.562) Prec@5 82.500 (83.543) Epoch: [68][4230/11272] Time 0.798 (0.793) Data 0.001 (0.002) Loss 1.6100 (1.7018) Prec@1 56.875 (54.564) Prec@5 85.625 (83.545) Epoch: [68][4240/11272] Time 0.748 (0.793) Data 0.001 (0.002) Loss 1.5871 (1.7018) Prec@1 58.750 (54.565) Prec@5 86.250 (83.544) Epoch: [68][4250/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.7668 (1.7018) Prec@1 54.375 (54.565) Prec@5 80.625 (83.544) Epoch: [68][4260/11272] Time 0.992 (0.793) Data 0.002 (0.002) Loss 1.4755 (1.7017) Prec@1 58.125 (54.568) Prec@5 86.250 (83.545) Epoch: [68][4270/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.5419 (1.7017) Prec@1 57.500 (54.569) Prec@5 87.500 (83.547) Epoch: [68][4280/11272] Time 0.706 (0.793) Data 0.001 (0.002) Loss 1.6484 (1.7017) Prec@1 61.250 (54.572) Prec@5 82.500 (83.548) Epoch: [68][4290/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.8284 (1.7015) Prec@1 46.875 (54.572) Prec@5 81.875 (83.550) Epoch: [68][4300/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.7234 (1.7016) Prec@1 57.500 (54.571) Prec@5 83.125 (83.549) Epoch: [68][4310/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 1.6559 (1.7016) Prec@1 57.500 (54.573) Prec@5 83.750 (83.548) Epoch: [68][4320/11272] Time 0.753 (0.793) Data 0.002 (0.002) Loss 1.5944 (1.7014) Prec@1 60.000 (54.576) Prec@5 85.625 (83.549) Epoch: [68][4330/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.8194 (1.7013) Prec@1 53.125 (54.579) Prec@5 80.625 (83.553) Epoch: [68][4340/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.7233 (1.7012) Prec@1 51.250 (54.579) Prec@5 84.375 (83.555) Epoch: [68][4350/11272] Time 0.701 (0.793) Data 0.004 (0.002) Loss 1.6826 (1.7012) Prec@1 56.875 (54.582) Prec@5 80.625 (83.556) Epoch: [68][4360/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.6921 (1.7012) Prec@1 55.625 (54.584) Prec@5 86.250 (83.553) Epoch: [68][4370/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.6765 (1.7013) Prec@1 56.875 (54.583) Prec@5 81.250 (83.549) Epoch: [68][4380/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 1.6212 (1.7013) Prec@1 58.750 (54.584) Prec@5 81.875 (83.548) Epoch: [68][4390/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.6570 (1.7012) Prec@1 59.375 (54.589) Prec@5 83.125 (83.548) Epoch: [68][4400/11272] Time 0.705 (0.793) Data 0.002 (0.002) Loss 1.6492 (1.7013) Prec@1 54.375 (54.587) Prec@5 82.500 (83.547) Epoch: [68][4410/11272] Time 0.893 (0.793) Data 0.002 (0.002) Loss 1.7481 (1.7013) Prec@1 53.750 (54.589) Prec@5 84.375 (83.547) Epoch: [68][4420/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 1.8589 (1.7014) Prec@1 49.375 (54.584) Prec@5 80.625 (83.546) Epoch: [68][4430/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.7519 (1.7015) Prec@1 51.875 (54.581) Prec@5 84.375 (83.544) Epoch: [68][4440/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 2.0822 (1.7018) Prec@1 46.875 (54.575) Prec@5 81.250 (83.540) Epoch: [68][4450/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6563 (1.7017) Prec@1 52.500 (54.572) Prec@5 86.250 (83.543) Epoch: [68][4460/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 1.6140 (1.7015) Prec@1 56.250 (54.578) Prec@5 81.875 (83.546) Epoch: [68][4470/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.4889 (1.7014) Prec@1 60.625 (54.580) Prec@5 88.125 (83.546) Epoch: [68][4480/11272] Time 0.907 (0.793) Data 0.003 (0.002) Loss 1.7479 (1.7016) Prec@1 57.500 (54.578) Prec@5 80.000 (83.543) Epoch: [68][4490/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.6611 (1.7016) Prec@1 50.000 (54.576) Prec@5 84.375 (83.543) Epoch: [68][4500/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.5552 (1.7015) Prec@1 58.125 (54.576) Prec@5 84.375 (83.543) Epoch: [68][4510/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.8081 (1.7014) Prec@1 46.875 (54.579) Prec@5 83.750 (83.545) Epoch: [68][4520/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 1.9719 (1.7012) Prec@1 54.375 (54.587) Prec@5 77.500 (83.547) Epoch: [68][4530/11272] Time 0.823 (0.793) Data 0.002 (0.002) Loss 1.7132 (1.7011) Prec@1 57.500 (54.592) Prec@5 83.750 (83.548) Epoch: [68][4540/11272] Time 0.799 (0.793) Data 0.001 (0.002) Loss 1.3936 (1.7011) Prec@1 63.125 (54.592) Prec@5 88.125 (83.547) Epoch: [68][4550/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.8000 (1.7012) Prec@1 51.875 (54.590) Prec@5 80.625 (83.546) Epoch: [68][4560/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.4858 (1.7011) Prec@1 60.000 (54.588) Prec@5 87.500 (83.547) Epoch: [68][4570/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 1.6096 (1.7011) Prec@1 55.625 (54.588) Prec@5 83.125 (83.547) Epoch: [68][4580/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.7765 (1.7012) Prec@1 51.250 (54.587) Prec@5 84.375 (83.547) Epoch: [68][4590/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.7014 (1.7010) Prec@1 53.750 (54.591) Prec@5 82.500 (83.548) Epoch: [68][4600/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.8179 (1.7009) Prec@1 49.375 (54.594) Prec@5 86.250 (83.551) Epoch: [68][4610/11272] Time 0.726 (0.793) Data 0.004 (0.002) Loss 1.8549 (1.7010) Prec@1 53.125 (54.596) Prec@5 81.875 (83.552) Epoch: [68][4620/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.8036 (1.7010) Prec@1 51.875 (54.595) Prec@5 81.250 (83.549) Epoch: [68][4630/11272] Time 0.870 (0.793) Data 0.002 (0.002) Loss 1.6380 (1.7009) Prec@1 56.250 (54.596) Prec@5 83.750 (83.550) Epoch: [68][4640/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 1.8325 (1.7010) Prec@1 50.625 (54.593) Prec@5 83.750 (83.549) Epoch: [68][4650/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.4849 (1.7008) Prec@1 60.625 (54.598) Prec@5 86.250 (83.549) Epoch: [68][4660/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.5787 (1.7007) Prec@1 54.375 (54.600) Prec@5 86.250 (83.549) Epoch: [68][4670/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.6331 (1.7008) Prec@1 54.375 (54.597) Prec@5 85.625 (83.547) Epoch: [68][4680/11272] Time 0.873 (0.793) Data 0.002 (0.002) Loss 1.6529 (1.7009) Prec@1 59.375 (54.598) Prec@5 85.625 (83.545) Epoch: [68][4690/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 1.6786 (1.7009) Prec@1 54.375 (54.600) Prec@5 84.375 (83.544) Epoch: [68][4700/11272] Time 0.751 (0.793) Data 0.002 (0.002) Loss 1.7660 (1.7007) Prec@1 43.750 (54.599) Prec@5 88.125 (83.548) Epoch: [68][4710/11272] Time 0.859 (0.793) Data 0.001 (0.002) Loss 1.6825 (1.7007) Prec@1 53.750 (54.599) Prec@5 83.750 (83.546) Epoch: [68][4720/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.7841 (1.7008) Prec@1 55.000 (54.594) Prec@5 80.000 (83.546) Epoch: [68][4730/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5624 (1.7007) Prec@1 61.250 (54.595) Prec@5 84.375 (83.548) Epoch: [68][4740/11272] Time 0.820 (0.793) Data 0.001 (0.002) Loss 1.8505 (1.7005) Prec@1 54.375 (54.599) Prec@5 81.875 (83.553) Epoch: [68][4750/11272] Time 0.828 (0.793) Data 0.002 (0.002) Loss 1.5541 (1.7006) Prec@1 56.250 (54.600) Prec@5 86.250 (83.552) Epoch: [68][4760/11272] Time 0.744 (0.793) Data 0.001 (0.002) Loss 1.4907 (1.7006) Prec@1 58.750 (54.599) Prec@5 86.875 (83.553) Epoch: [68][4770/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.5636 (1.7006) Prec@1 55.000 (54.600) Prec@5 85.000 (83.551) Epoch: [68][4780/11272] Time 0.897 (0.793) Data 0.001 (0.002) Loss 1.6010 (1.7007) Prec@1 52.500 (54.594) Prec@5 90.625 (83.550) Epoch: [68][4790/11272] Time 0.893 (0.793) Data 0.002 (0.002) Loss 1.5948 (1.7007) Prec@1 52.500 (54.594) Prec@5 86.875 (83.551) Epoch: [68][4800/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.5079 (1.7007) Prec@1 62.500 (54.593) Prec@5 88.125 (83.551) Epoch: [68][4810/11272] Time 0.759 (0.793) Data 0.002 (0.002) Loss 1.8229 (1.7008) Prec@1 52.500 (54.593) Prec@5 80.625 (83.548) Epoch: [68][4820/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.6291 (1.7007) Prec@1 55.625 (54.596) Prec@5 86.250 (83.552) Epoch: [68][4830/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.9152 (1.7006) Prec@1 51.250 (54.596) Prec@5 80.625 (83.553) Epoch: [68][4840/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 1.7557 (1.7005) Prec@1 55.625 (54.600) Prec@5 83.750 (83.553) Epoch: [68][4850/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.7269 (1.7005) Prec@1 56.250 (54.598) Prec@5 82.500 (83.555) Epoch: [68][4860/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 1.6959 (1.7006) Prec@1 53.125 (54.597) Prec@5 83.125 (83.553) Epoch: [68][4870/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.8129 (1.7008) Prec@1 56.875 (54.594) Prec@5 82.500 (83.551) Epoch: [68][4880/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.7129 (1.7009) Prec@1 56.250 (54.592) Prec@5 85.000 (83.551) Epoch: [68][4890/11272] Time 0.975 (0.793) Data 0.001 (0.002) Loss 1.6318 (1.7009) Prec@1 62.500 (54.595) Prec@5 85.625 (83.554) Epoch: [68][4900/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 1.7985 (1.7009) Prec@1 53.125 (54.595) Prec@5 80.000 (83.552) Epoch: [68][4910/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.7582 (1.7009) Prec@1 53.125 (54.593) Prec@5 84.375 (83.551) Epoch: [68][4920/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.7918 (1.7010) Prec@1 51.875 (54.591) Prec@5 78.750 (83.550) Epoch: [68][4930/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.8219 (1.7011) Prec@1 49.375 (54.588) Prec@5 83.125 (83.550) Epoch: [68][4940/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.7549 (1.7010) Prec@1 50.000 (54.591) Prec@5 82.500 (83.550) Epoch: [68][4950/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.9074 (1.7010) Prec@1 45.625 (54.587) Prec@5 83.125 (83.551) Epoch: [68][4960/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.8778 (1.7010) Prec@1 50.000 (54.588) Prec@5 81.250 (83.549) Epoch: [68][4970/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.4592 (1.7009) Prec@1 56.250 (54.587) Prec@5 85.000 (83.552) Epoch: [68][4980/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.8265 (1.7012) Prec@1 48.750 (54.581) Prec@5 82.500 (83.544) Epoch: [68][4990/11272] Time 0.705 (0.793) Data 0.002 (0.002) Loss 1.6555 (1.7012) Prec@1 53.125 (54.579) Prec@5 85.000 (83.543) Epoch: [68][5000/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.7221 (1.7012) Prec@1 53.125 (54.578) Prec@5 80.000 (83.544) Epoch: [68][5010/11272] Time 0.865 (0.793) Data 0.002 (0.002) Loss 1.5408 (1.7011) Prec@1 52.500 (54.575) Prec@5 85.000 (83.544) Epoch: [68][5020/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.8546 (1.7012) Prec@1 44.375 (54.572) Prec@5 82.500 (83.545) Epoch: [68][5030/11272] Time 0.766 (0.793) Data 0.002 (0.002) Loss 1.8769 (1.7014) Prec@1 51.875 (54.567) Prec@5 80.000 (83.542) Epoch: [68][5040/11272] Time 0.955 (0.793) Data 0.001 (0.002) Loss 1.6668 (1.7013) Prec@1 55.000 (54.570) Prec@5 83.750 (83.543) Epoch: [68][5050/11272] Time 0.904 (0.793) Data 0.002 (0.002) Loss 1.8135 (1.7013) Prec@1 51.875 (54.571) Prec@5 78.750 (83.541) Epoch: [68][5060/11272] Time 0.704 (0.793) Data 0.001 (0.002) Loss 1.7377 (1.7013) Prec@1 54.375 (54.570) Prec@5 83.125 (83.542) Epoch: [68][5070/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.8747 (1.7013) Prec@1 50.000 (54.568) Prec@5 78.750 (83.540) Epoch: [68][5080/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.7423 (1.7013) Prec@1 51.875 (54.569) Prec@5 81.875 (83.541) Epoch: [68][5090/11272] Time 0.890 (0.793) Data 0.001 (0.002) Loss 1.6045 (1.7013) Prec@1 56.250 (54.568) Prec@5 85.000 (83.541) Epoch: [68][5100/11272] Time 0.758 (0.793) Data 0.002 (0.002) Loss 1.6980 (1.7013) Prec@1 52.500 (54.569) Prec@5 83.750 (83.542) Epoch: [68][5110/11272] Time 0.698 (0.793) Data 0.002 (0.002) Loss 1.6936 (1.7013) Prec@1 52.500 (54.570) Prec@5 80.625 (83.540) Epoch: [68][5120/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 1.5708 (1.7014) Prec@1 58.750 (54.567) Prec@5 88.125 (83.539) Epoch: [68][5130/11272] Time 0.802 (0.793) Data 0.002 (0.002) Loss 1.6534 (1.7012) Prec@1 52.500 (54.570) Prec@5 84.375 (83.542) Epoch: [68][5140/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.6676 (1.7012) Prec@1 50.625 (54.571) Prec@5 89.375 (83.544) Epoch: [68][5150/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.6006 (1.7011) Prec@1 53.125 (54.571) Prec@5 85.000 (83.544) Epoch: [68][5160/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.8041 (1.7013) Prec@1 49.375 (54.569) Prec@5 80.000 (83.541) Epoch: [68][5170/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.6514 (1.7012) Prec@1 50.625 (54.567) Prec@5 84.375 (83.541) Epoch: [68][5180/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.8008 (1.7012) Prec@1 55.000 (54.567) Prec@5 79.375 (83.542) Epoch: [68][5190/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.6960 (1.7013) Prec@1 56.875 (54.565) Prec@5 86.250 (83.541) Epoch: [68][5200/11272] Time 0.910 (0.793) Data 0.001 (0.002) Loss 1.6900 (1.7012) Prec@1 47.500 (54.566) Prec@5 83.125 (83.544) Epoch: [68][5210/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.8420 (1.7013) Prec@1 47.500 (54.561) Prec@5 78.750 (83.543) Epoch: [68][5220/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.5530 (1.7011) Prec@1 56.875 (54.564) Prec@5 86.875 (83.544) Epoch: [68][5230/11272] Time 0.812 (0.793) Data 0.001 (0.002) Loss 1.7827 (1.7012) Prec@1 51.875 (54.561) Prec@5 83.750 (83.544) Epoch: [68][5240/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.7159 (1.7013) Prec@1 51.250 (54.558) Prec@5 83.125 (83.542) Epoch: [68][5250/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 2.0268 (1.7013) Prec@1 49.375 (54.555) Prec@5 83.750 (83.541) Epoch: [68][5260/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 1.6327 (1.7013) Prec@1 56.250 (54.557) Prec@5 81.250 (83.541) Epoch: [68][5270/11272] Time 0.882 (0.793) Data 0.001 (0.002) Loss 1.8653 (1.7013) Prec@1 51.250 (54.556) Prec@5 80.625 (83.538) Epoch: [68][5280/11272] Time 0.728 (0.793) Data 0.003 (0.002) Loss 1.8447 (1.7014) Prec@1 50.000 (54.555) Prec@5 83.125 (83.537) Epoch: [68][5290/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.5831 (1.7016) Prec@1 66.250 (54.553) Prec@5 85.625 (83.535) Epoch: [68][5300/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.8493 (1.7016) Prec@1 50.625 (54.552) Prec@5 82.500 (83.533) Epoch: [68][5310/11272] Time 0.914 (0.793) Data 0.002 (0.002) Loss 1.6586 (1.7016) Prec@1 58.125 (54.555) Prec@5 80.625 (83.532) Epoch: [68][5320/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.6145 (1.7016) Prec@1 56.875 (54.557) Prec@5 83.750 (83.531) Epoch: [68][5330/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 1.5938 (1.7016) Prec@1 56.875 (54.557) Prec@5 86.250 (83.531) Epoch: [68][5340/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.6756 (1.7017) Prec@1 55.625 (54.554) Prec@5 83.125 (83.530) Epoch: [68][5350/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 1.8298 (1.7018) Prec@1 55.625 (54.553) Prec@5 82.500 (83.531) Epoch: [68][5360/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.8496 (1.7017) Prec@1 48.750 (54.556) Prec@5 81.875 (83.531) Epoch: [68][5370/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 1.5262 (1.7017) Prec@1 60.000 (54.559) Prec@5 89.375 (83.532) Epoch: [68][5380/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.6797 (1.7017) Prec@1 50.000 (54.558) Prec@5 85.000 (83.533) Epoch: [68][5390/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.6291 (1.7017) Prec@1 58.750 (54.560) Prec@5 83.750 (83.533) Epoch: [68][5400/11272] Time 0.780 (0.793) Data 0.002 (0.002) Loss 1.6784 (1.7016) Prec@1 57.500 (54.561) Prec@5 81.250 (83.535) Epoch: [68][5410/11272] Time 0.878 (0.793) Data 0.001 (0.002) Loss 1.6058 (1.7014) Prec@1 56.250 (54.564) Prec@5 83.750 (83.538) Epoch: [68][5420/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.9564 (1.7015) Prec@1 48.125 (54.564) Prec@5 79.375 (83.535) Epoch: [68][5430/11272] Time 0.772 (0.793) Data 0.002 (0.002) Loss 1.8112 (1.7015) Prec@1 49.375 (54.564) Prec@5 83.125 (83.535) Epoch: [68][5440/11272] Time 0.704 (0.793) Data 0.001 (0.002) Loss 1.6764 (1.7014) Prec@1 55.625 (54.566) Prec@5 83.125 (83.535) Epoch: [68][5450/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.5448 (1.7014) Prec@1 55.625 (54.564) Prec@5 87.500 (83.535) Epoch: [68][5460/11272] Time 0.805 (0.793) Data 0.002 (0.002) Loss 1.5414 (1.7014) Prec@1 53.750 (54.565) Prec@5 86.250 (83.535) Epoch: [68][5470/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.6200 (1.7013) Prec@1 58.125 (54.568) Prec@5 83.750 (83.536) Epoch: [68][5480/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.9610 (1.7013) Prec@1 46.875 (54.565) Prec@5 75.625 (83.534) Epoch: [68][5490/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 1.9060 (1.7012) Prec@1 50.625 (54.569) Prec@5 80.625 (83.533) Epoch: [68][5500/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.8020 (1.7012) Prec@1 50.000 (54.568) Prec@5 83.750 (83.531) Epoch: [68][5510/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 2.0041 (1.7013) Prec@1 41.875 (54.564) Prec@5 82.500 (83.527) Epoch: [68][5520/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.8675 (1.7013) Prec@1 52.500 (54.564) Prec@5 82.500 (83.527) Epoch: [68][5530/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.7986 (1.7013) Prec@1 56.250 (54.566) Prec@5 81.875 (83.527) Epoch: [68][5540/11272] Time 0.731 (0.793) Data 0.004 (0.002) Loss 1.7696 (1.7013) Prec@1 51.875 (54.564) Prec@5 83.125 (83.527) Epoch: [68][5550/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 1.7484 (1.7015) Prec@1 53.750 (54.562) Prec@5 85.000 (83.524) Epoch: [68][5560/11272] Time 0.903 (0.793) Data 0.003 (0.002) Loss 1.6216 (1.7014) Prec@1 58.125 (54.560) Prec@5 85.000 (83.524) Epoch: [68][5570/11272] Time 0.880 (0.793) Data 0.002 (0.002) Loss 1.6436 (1.7014) Prec@1 54.375 (54.561) Prec@5 85.625 (83.526) Epoch: [68][5580/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.5884 (1.7014) Prec@1 55.625 (54.559) Prec@5 88.125 (83.524) Epoch: [68][5590/11272] Time 0.781 (0.793) Data 0.002 (0.002) Loss 1.5964 (1.7014) Prec@1 56.875 (54.559) Prec@5 83.750 (83.524) Epoch: [68][5600/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.6286 (1.7012) Prec@1 57.500 (54.563) Prec@5 86.875 (83.526) Epoch: [68][5610/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.5964 (1.7012) Prec@1 57.500 (54.562) Prec@5 85.625 (83.526) Epoch: [68][5620/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.8273 (1.7014) Prec@1 56.875 (54.560) Prec@5 81.250 (83.523) Epoch: [68][5630/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6092 (1.7013) Prec@1 56.875 (54.563) Prec@5 83.125 (83.522) Epoch: [68][5640/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 1.7381 (1.7014) Prec@1 53.125 (54.559) Prec@5 82.500 (83.522) Epoch: [68][5650/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.7152 (1.7015) Prec@1 47.500 (54.556) Prec@5 84.375 (83.521) Epoch: [68][5660/11272] Time 0.803 (0.793) Data 0.001 (0.002) Loss 1.6892 (1.7014) Prec@1 54.375 (54.560) Prec@5 83.750 (83.522) Epoch: [68][5670/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.7241 (1.7014) Prec@1 55.625 (54.561) Prec@5 83.125 (83.524) Epoch: [68][5680/11272] Time 0.840 (0.793) Data 0.002 (0.002) Loss 1.6218 (1.7013) Prec@1 54.375 (54.562) Prec@5 84.375 (83.525) Epoch: [68][5690/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.6508 (1.7012) Prec@1 52.500 (54.563) Prec@5 88.125 (83.526) Epoch: [68][5700/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.6783 (1.7013) Prec@1 55.625 (54.561) Prec@5 85.625 (83.525) Epoch: [68][5710/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.6630 (1.7014) Prec@1 52.500 (54.558) Prec@5 86.250 (83.524) Epoch: [68][5720/11272] Time 0.898 (0.793) Data 0.002 (0.002) Loss 1.7355 (1.7014) Prec@1 51.250 (54.557) Prec@5 85.000 (83.524) Epoch: [68][5730/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7216 (1.7013) Prec@1 51.875 (54.559) Prec@5 83.125 (83.524) Epoch: [68][5740/11272] Time 0.762 (0.793) Data 0.003 (0.002) Loss 1.8500 (1.7014) Prec@1 53.750 (54.560) Prec@5 80.625 (83.521) Epoch: [68][5750/11272] Time 0.871 (0.793) Data 0.002 (0.002) Loss 1.4739 (1.7013) Prec@1 62.500 (54.562) Prec@5 88.125 (83.522) Epoch: [68][5760/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.7830 (1.7013) Prec@1 52.500 (54.561) Prec@5 83.125 (83.524) Epoch: [68][5770/11272] Time 0.707 (0.793) Data 0.002 (0.002) Loss 1.5895 (1.7015) Prec@1 57.500 (54.555) Prec@5 85.625 (83.523) Epoch: [68][5780/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.6117 (1.7015) Prec@1 56.875 (54.556) Prec@5 86.875 (83.521) Epoch: [68][5790/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.5731 (1.7015) Prec@1 60.000 (54.558) Prec@5 86.250 (83.522) Epoch: [68][5800/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 1.6019 (1.7015) Prec@1 58.750 (54.555) Prec@5 81.875 (83.521) Epoch: [68][5810/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 1.5128 (1.7014) Prec@1 56.875 (54.555) Prec@5 84.375 (83.521) Epoch: [68][5820/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.6129 (1.7014) Prec@1 57.500 (54.553) Prec@5 86.250 (83.523) Epoch: [68][5830/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.6365 (1.7014) Prec@1 57.500 (54.551) Prec@5 85.000 (83.524) Epoch: [68][5840/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.9174 (1.7015) Prec@1 48.125 (54.548) Prec@5 77.500 (83.521) Epoch: [68][5850/11272] Time 0.716 (0.793) Data 0.003 (0.002) Loss 1.6095 (1.7016) Prec@1 54.375 (54.545) Prec@5 83.125 (83.518) Epoch: [68][5860/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.7057 (1.7016) Prec@1 55.000 (54.545) Prec@5 81.875 (83.519) Epoch: [68][5870/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.5926 (1.7016) Prec@1 56.875 (54.547) Prec@5 82.500 (83.517) Epoch: [68][5880/11272] Time 0.704 (0.793) Data 0.001 (0.002) Loss 1.6740 (1.7016) Prec@1 54.375 (54.548) Prec@5 83.125 (83.517) Epoch: [68][5890/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.5777 (1.7017) Prec@1 58.125 (54.547) Prec@5 85.000 (83.517) Epoch: [68][5900/11272] Time 0.887 (0.793) Data 0.002 (0.002) Loss 1.5219 (1.7017) Prec@1 51.875 (54.543) Prec@5 88.125 (83.516) Epoch: [68][5910/11272] Time 0.881 (0.793) Data 0.002 (0.002) Loss 1.7354 (1.7017) Prec@1 51.875 (54.544) Prec@5 83.750 (83.519) Epoch: [68][5920/11272] Time 0.693 (0.793) Data 0.001 (0.002) Loss 1.6535 (1.7017) Prec@1 56.875 (54.545) Prec@5 85.000 (83.518) Epoch: [68][5930/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.3853 (1.7017) Prec@1 66.875 (54.546) Prec@5 88.750 (83.519) Epoch: [68][5940/11272] Time 0.798 (0.793) Data 0.001 (0.002) Loss 1.6376 (1.7016) Prec@1 58.125 (54.549) Prec@5 88.750 (83.521) Epoch: [68][5950/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.7241 (1.7017) Prec@1 55.000 (54.547) Prec@5 82.500 (83.519) Epoch: [68][5960/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.8068 (1.7017) Prec@1 50.625 (54.546) Prec@5 81.250 (83.517) Epoch: [68][5970/11272] Time 0.863 (0.793) Data 0.002 (0.002) Loss 1.7680 (1.7017) Prec@1 51.250 (54.548) Prec@5 81.250 (83.517) Epoch: [68][5980/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 1.6670 (1.7016) Prec@1 52.500 (54.551) Prec@5 83.750 (83.518) Epoch: [68][5990/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.6513 (1.7017) Prec@1 52.500 (54.551) Prec@5 87.500 (83.517) Epoch: [68][6000/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.7635 (1.7016) Prec@1 56.250 (54.552) Prec@5 80.000 (83.518) Epoch: [68][6010/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.7513 (1.7017) Prec@1 52.500 (54.550) Prec@5 81.250 (83.517) Epoch: [68][6020/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.3907 (1.7017) Prec@1 60.000 (54.549) Prec@5 89.375 (83.517) Epoch: [68][6030/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.4383 (1.7017) Prec@1 63.750 (54.551) Prec@5 86.875 (83.516) Epoch: [68][6040/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.8649 (1.7018) Prec@1 51.875 (54.549) Prec@5 81.250 (83.516) Epoch: [68][6050/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.7489 (1.7018) Prec@1 53.125 (54.548) Prec@5 78.125 (83.516) Epoch: [68][6060/11272] Time 0.877 (0.793) Data 0.001 (0.002) Loss 1.4901 (1.7017) Prec@1 60.625 (54.551) Prec@5 85.625 (83.517) Epoch: [68][6070/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.4556 (1.7017) Prec@1 62.500 (54.549) Prec@5 88.125 (83.518) Epoch: [68][6080/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.9245 (1.7017) Prec@1 52.500 (54.549) Prec@5 78.750 (83.518) Epoch: [68][6090/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.7199 (1.7017) Prec@1 58.750 (54.550) Prec@5 81.875 (83.518) Epoch: [68][6100/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.8098 (1.7017) Prec@1 49.375 (54.550) Prec@5 80.625 (83.518) Epoch: [68][6110/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.8075 (1.7017) Prec@1 55.000 (54.552) Prec@5 78.125 (83.516) Epoch: [68][6120/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 1.8395 (1.7018) Prec@1 53.125 (54.550) Prec@5 85.625 (83.518) Epoch: [68][6130/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.5950 (1.7018) Prec@1 58.750 (54.547) Prec@5 83.125 (83.516) Epoch: [68][6140/11272] Time 0.751 (0.793) Data 0.001 (0.002) Loss 1.9134 (1.7017) Prec@1 50.000 (54.548) Prec@5 84.375 (83.517) Epoch: [68][6150/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.7045 (1.7017) Prec@1 55.000 (54.550) Prec@5 81.875 (83.516) Epoch: [68][6160/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.5697 (1.7018) Prec@1 57.500 (54.547) Prec@5 85.625 (83.513) Epoch: [68][6170/11272] Time 0.916 (0.793) Data 0.002 (0.002) Loss 1.7826 (1.7018) Prec@1 53.125 (54.545) Prec@5 78.750 (83.514) Epoch: [68][6180/11272] Time 0.749 (0.793) Data 0.002 (0.002) Loss 1.5335 (1.7017) Prec@1 56.875 (54.546) Prec@5 84.375 (83.517) Epoch: [68][6190/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.5162 (1.7016) Prec@1 56.875 (54.549) Prec@5 88.750 (83.518) Epoch: [68][6200/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.5389 (1.7016) Prec@1 61.875 (54.548) Prec@5 86.250 (83.521) Epoch: [68][6210/11272] Time 0.748 (0.793) Data 0.003 (0.002) Loss 1.5877 (1.7016) Prec@1 58.750 (54.545) Prec@5 84.375 (83.522) Epoch: [68][6220/11272] Time 0.703 (0.793) Data 0.002 (0.002) Loss 1.7882 (1.7016) Prec@1 55.000 (54.545) Prec@5 78.750 (83.522) Epoch: [68][6230/11272] Time 0.881 (0.793) Data 0.003 (0.002) Loss 1.6395 (1.7016) Prec@1 54.375 (54.547) Prec@5 86.250 (83.521) Epoch: [68][6240/11272] Time 0.807 (0.793) Data 0.001 (0.002) Loss 1.7396 (1.7016) Prec@1 54.375 (54.546) Prec@5 82.500 (83.521) Epoch: [68][6250/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.5286 (1.7016) Prec@1 56.250 (54.547) Prec@5 88.750 (83.521) Epoch: [68][6260/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.6049 (1.7016) Prec@1 58.125 (54.548) Prec@5 86.875 (83.521) Epoch: [68][6270/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.6542 (1.7016) Prec@1 53.125 (54.548) Prec@5 85.000 (83.522) Epoch: [68][6280/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.7045 (1.7016) Prec@1 51.875 (54.546) Prec@5 85.625 (83.522) Epoch: [68][6290/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 1.4311 (1.7016) Prec@1 60.625 (54.545) Prec@5 89.375 (83.523) Epoch: [68][6300/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6909 (1.7015) Prec@1 54.375 (54.544) Prec@5 85.625 (83.524) Epoch: [68][6310/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 1.7047 (1.7014) Prec@1 52.500 (54.544) Prec@5 81.250 (83.525) Epoch: [68][6320/11272] Time 0.831 (0.793) Data 0.002 (0.002) Loss 1.7071 (1.7013) Prec@1 52.500 (54.545) Prec@5 83.750 (83.527) Epoch: [68][6330/11272] Time 0.803 (0.793) Data 0.002 (0.002) Loss 1.8827 (1.7013) Prec@1 51.875 (54.547) Prec@5 81.250 (83.527) Epoch: [68][6340/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.5313 (1.7013) Prec@1 58.750 (54.549) Prec@5 86.250 (83.529) Epoch: [68][6350/11272] Time 0.861 (0.793) Data 0.002 (0.002) Loss 1.5277 (1.7013) Prec@1 58.125 (54.548) Prec@5 84.375 (83.528) Epoch: [68][6360/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.8088 (1.7013) Prec@1 53.125 (54.545) Prec@5 81.250 (83.527) Epoch: [68][6370/11272] Time 0.752 (0.793) Data 0.001 (0.002) Loss 1.7330 (1.7013) Prec@1 51.875 (54.545) Prec@5 84.375 (83.528) Epoch: [68][6380/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.7065 (1.7014) Prec@1 56.250 (54.545) Prec@5 83.750 (83.527) Epoch: [68][6390/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.6080 (1.7014) Prec@1 58.125 (54.544) Prec@5 86.875 (83.527) Epoch: [68][6400/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.5742 (1.7013) Prec@1 58.750 (54.544) Prec@5 86.250 (83.528) Epoch: [68][6410/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 2.0518 (1.7014) Prec@1 50.625 (54.543) Prec@5 78.125 (83.528) Epoch: [68][6420/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.9709 (1.7013) Prec@1 50.000 (54.544) Prec@5 80.625 (83.530) Epoch: [68][6430/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.7150 (1.7013) Prec@1 58.750 (54.546) Prec@5 83.750 (83.531) Epoch: [68][6440/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.8588 (1.7013) Prec@1 50.625 (54.543) Prec@5 80.625 (83.529) Epoch: [68][6450/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6345 (1.7012) Prec@1 55.000 (54.545) Prec@5 89.375 (83.532) Epoch: [68][6460/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.7493 (1.7012) Prec@1 53.125 (54.545) Prec@5 81.875 (83.530) Epoch: [68][6470/11272] Time 0.725 (0.793) Data 0.003 (0.002) Loss 1.5975 (1.7012) Prec@1 50.000 (54.545) Prec@5 85.625 (83.530) Epoch: [68][6480/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.6805 (1.7012) Prec@1 53.125 (54.545) Prec@5 84.375 (83.530) Epoch: [68][6490/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 1.7426 (1.7013) Prec@1 53.125 (54.545) Prec@5 83.750 (83.527) Epoch: [68][6500/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.4461 (1.7013) Prec@1 56.875 (54.546) Prec@5 88.750 (83.529) Epoch: [68][6510/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.7009 (1.7014) Prec@1 56.875 (54.543) Prec@5 83.125 (83.526) Epoch: [68][6520/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.8028 (1.7014) Prec@1 48.750 (54.541) Prec@5 82.500 (83.526) Epoch: [68][6530/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 1.5485 (1.7014) Prec@1 58.125 (54.541) Prec@5 86.875 (83.528) Epoch: [68][6540/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 1.6775 (1.7015) Prec@1 53.125 (54.540) Prec@5 85.625 (83.526) Epoch: [68][6550/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.5702 (1.7015) Prec@1 56.875 (54.538) Prec@5 86.250 (83.525) Epoch: [68][6560/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.5737 (1.7014) Prec@1 60.625 (54.538) Prec@5 83.125 (83.527) Epoch: [68][6570/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 1.7267 (1.7014) Prec@1 53.750 (54.536) Prec@5 82.500 (83.529) Epoch: [68][6580/11272] Time 0.805 (0.793) Data 0.001 (0.002) Loss 1.6958 (1.7013) Prec@1 58.125 (54.537) Prec@5 79.375 (83.529) Epoch: [68][6590/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.6501 (1.7013) Prec@1 55.000 (54.538) Prec@5 83.125 (83.529) Epoch: [68][6600/11272] Time 0.906 (0.793) Data 0.001 (0.002) Loss 1.6675 (1.7014) Prec@1 56.875 (54.537) Prec@5 84.375 (83.528) Epoch: [68][6610/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.6387 (1.7014) Prec@1 56.250 (54.538) Prec@5 82.500 (83.528) Epoch: [68][6620/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.7619 (1.7014) Prec@1 49.375 (54.535) Prec@5 81.875 (83.526) Epoch: [68][6630/11272] Time 0.755 (0.793) Data 0.002 (0.002) Loss 1.8817 (1.7014) Prec@1 50.625 (54.536) Prec@5 76.875 (83.524) Epoch: [68][6640/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.5838 (1.7013) Prec@1 61.250 (54.538) Prec@5 85.000 (83.527) Epoch: [68][6650/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 1.6617 (1.7015) Prec@1 54.375 (54.535) Prec@5 85.625 (83.523) Epoch: [68][6660/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 1.7043 (1.7016) Prec@1 53.125 (54.531) Prec@5 85.625 (83.522) Epoch: [68][6670/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.5064 (1.7017) Prec@1 57.500 (54.527) Prec@5 89.375 (83.521) Epoch: [68][6680/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.8792 (1.7017) Prec@1 52.500 (54.527) Prec@5 81.250 (83.520) Epoch: [68][6690/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.6587 (1.7016) Prec@1 51.875 (54.528) Prec@5 86.250 (83.522) Epoch: [68][6700/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.8542 (1.7016) Prec@1 54.375 (54.527) Prec@5 77.500 (83.520) Epoch: [68][6710/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.7464 (1.7017) Prec@1 54.375 (54.526) Prec@5 82.500 (83.519) Epoch: [68][6720/11272] Time 0.906 (0.793) Data 0.002 (0.002) Loss 1.6456 (1.7016) Prec@1 53.750 (54.526) Prec@5 83.750 (83.520) Epoch: [68][6730/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.6945 (1.7016) Prec@1 56.250 (54.527) Prec@5 84.375 (83.520) Epoch: [68][6740/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.6716 (1.7015) Prec@1 56.250 (54.528) Prec@5 83.750 (83.521) Epoch: [68][6750/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.5242 (1.7015) Prec@1 57.500 (54.529) Prec@5 86.875 (83.523) Epoch: [68][6760/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.5951 (1.7014) Prec@1 54.375 (54.531) Prec@5 85.000 (83.522) Epoch: [68][6770/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.6767 (1.7015) Prec@1 52.500 (54.530) Prec@5 83.125 (83.520) Epoch: [68][6780/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.5597 (1.7015) Prec@1 56.250 (54.529) Prec@5 88.125 (83.520) Epoch: [68][6790/11272] Time 0.855 (0.793) Data 0.001 (0.002) Loss 1.6771 (1.7015) Prec@1 57.500 (54.529) Prec@5 84.375 (83.520) Epoch: [68][6800/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.9348 (1.7016) Prec@1 53.125 (54.527) Prec@5 78.750 (83.518) Epoch: [68][6810/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 1.7739 (1.7015) Prec@1 55.000 (54.529) Prec@5 81.250 (83.519) Epoch: [68][6820/11272] Time 0.709 (0.793) Data 0.002 (0.002) Loss 1.6383 (1.7016) Prec@1 51.875 (54.527) Prec@5 84.375 (83.519) Epoch: [68][6830/11272] Time 0.890 (0.793) Data 0.001 (0.002) Loss 1.8402 (1.7015) Prec@1 51.875 (54.530) Prec@5 81.875 (83.520) Epoch: [68][6840/11272] Time 0.792 (0.793) Data 0.001 (0.002) Loss 1.7879 (1.7016) Prec@1 53.750 (54.530) Prec@5 81.250 (83.519) Epoch: [68][6850/11272] Time 0.708 (0.793) Data 0.001 (0.002) Loss 1.6610 (1.7014) Prec@1 56.250 (54.533) Prec@5 82.500 (83.521) Epoch: [68][6860/11272] Time 0.709 (0.793) Data 0.001 (0.002) Loss 1.8255 (1.7015) Prec@1 49.375 (54.530) Prec@5 81.875 (83.519) Epoch: [68][6870/11272] Time 0.842 (0.793) Data 0.002 (0.002) Loss 1.7447 (1.7015) Prec@1 55.625 (54.530) Prec@5 83.125 (83.519) Epoch: [68][6880/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.6856 (1.7016) Prec@1 52.500 (54.529) Prec@5 86.250 (83.519) Epoch: [68][6890/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.7921 (1.7016) Prec@1 53.125 (54.528) Prec@5 83.125 (83.520) Epoch: [68][6900/11272] Time 0.870 (0.793) Data 0.002 (0.002) Loss 1.7075 (1.7016) Prec@1 58.125 (54.528) Prec@5 84.375 (83.519) Epoch: [68][6910/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.8050 (1.7016) Prec@1 49.375 (54.529) Prec@5 80.625 (83.518) Epoch: [68][6920/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.5140 (1.7015) Prec@1 57.500 (54.530) Prec@5 86.875 (83.519) Epoch: [68][6930/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 1.6616 (1.7015) Prec@1 56.875 (54.530) Prec@5 82.500 (83.520) Epoch: [68][6940/11272] Time 0.871 (0.793) Data 0.002 (0.002) Loss 1.5209 (1.7015) Prec@1 56.250 (54.531) Prec@5 90.000 (83.520) Epoch: [68][6950/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.4502 (1.7014) Prec@1 61.875 (54.533) Prec@5 88.125 (83.521) Epoch: [68][6960/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.8383 (1.7015) Prec@1 48.750 (54.532) Prec@5 83.750 (83.519) Epoch: [68][6970/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 1.6367 (1.7015) Prec@1 57.500 (54.531) Prec@5 82.500 (83.518) Epoch: [68][6980/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.6929 (1.7016) Prec@1 55.625 (54.531) Prec@5 84.375 (83.518) Epoch: [68][6990/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 1.9470 (1.7017) Prec@1 46.250 (54.528) Prec@5 78.750 (83.515) Epoch: [68][7000/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.6161 (1.7017) Prec@1 54.375 (54.527) Prec@5 88.125 (83.514) Epoch: [68][7010/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 1.7654 (1.7018) Prec@1 48.125 (54.522) Prec@5 84.375 (83.514) Epoch: [68][7020/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.7819 (1.7018) Prec@1 50.000 (54.521) Prec@5 86.875 (83.515) Epoch: [68][7030/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7676 (1.7019) Prec@1 56.875 (54.520) Prec@5 81.250 (83.513) Epoch: [68][7040/11272] Time 0.699 (0.793) Data 0.001 (0.002) Loss 1.7875 (1.7019) Prec@1 51.250 (54.519) Prec@5 82.500 (83.513) Epoch: [68][7050/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.7454 (1.7019) Prec@1 56.875 (54.519) Prec@5 83.125 (83.513) Epoch: [68][7060/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.7710 (1.7021) Prec@1 49.375 (54.515) Prec@5 83.125 (83.510) Epoch: [68][7070/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.6042 (1.7020) Prec@1 60.000 (54.516) Prec@5 86.250 (83.512) Epoch: [68][7080/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.8707 (1.7020) Prec@1 51.875 (54.516) Prec@5 81.250 (83.512) Epoch: [68][7090/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.8365 (1.7020) Prec@1 55.000 (54.516) Prec@5 79.375 (83.513) Epoch: [68][7100/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 1.6319 (1.7020) Prec@1 56.875 (54.516) Prec@5 84.375 (83.513) Epoch: [68][7110/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.7661 (1.7020) Prec@1 54.375 (54.514) Prec@5 81.875 (83.513) Epoch: [68][7120/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.6403 (1.7020) Prec@1 52.500 (54.514) Prec@5 85.000 (83.514) Epoch: [68][7130/11272] Time 0.886 (0.793) Data 0.002 (0.002) Loss 1.6364 (1.7019) Prec@1 54.375 (54.515) Prec@5 86.250 (83.515) Epoch: [68][7140/11272] Time 0.765 (0.793) Data 0.003 (0.002) Loss 1.5288 (1.7019) Prec@1 62.500 (54.517) Prec@5 86.250 (83.514) Epoch: [68][7150/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.9174 (1.7018) Prec@1 49.375 (54.520) Prec@5 80.000 (83.516) Epoch: [68][7160/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.6225 (1.7018) Prec@1 55.000 (54.521) Prec@5 87.500 (83.515) Epoch: [68][7170/11272] Time 0.808 (0.793) Data 0.001 (0.002) Loss 1.6953 (1.7019) Prec@1 54.375 (54.520) Prec@5 83.125 (83.515) Epoch: [68][7180/11272] Time 0.752 (0.793) Data 0.002 (0.002) Loss 1.7909 (1.7020) Prec@1 53.125 (54.518) Prec@5 82.500 (83.513) Epoch: [68][7190/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 2.0888 (1.7020) Prec@1 44.375 (54.516) Prec@5 73.750 (83.511) Epoch: [68][7200/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.5050 (1.7020) Prec@1 60.000 (54.517) Prec@5 84.375 (83.512) Epoch: [68][7210/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.8570 (1.7020) Prec@1 48.125 (54.517) Prec@5 86.250 (83.512) Epoch: [68][7220/11272] Time 0.699 (0.793) Data 0.001 (0.002) Loss 2.1492 (1.7022) Prec@1 46.250 (54.512) Prec@5 81.250 (83.510) Epoch: [68][7230/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.9447 (1.7022) Prec@1 53.125 (54.513) Prec@5 78.750 (83.510) Epoch: [68][7240/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.7907 (1.7022) Prec@1 56.250 (54.510) Prec@5 83.125 (83.510) Epoch: [68][7250/11272] Time 0.802 (0.793) Data 0.001 (0.002) Loss 1.6573 (1.7022) Prec@1 55.625 (54.511) Prec@5 85.000 (83.512) Epoch: [68][7260/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.7878 (1.7023) Prec@1 55.000 (54.507) Prec@5 81.250 (83.510) Epoch: [68][7270/11272] Time 0.809 (0.793) Data 0.002 (0.002) Loss 1.8636 (1.7023) Prec@1 53.750 (54.509) Prec@5 78.125 (83.510) Epoch: [68][7280/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 2.0915 (1.7023) Prec@1 48.125 (54.507) Prec@5 78.125 (83.510) Epoch: [68][7290/11272] Time 0.711 (0.793) Data 0.001 (0.002) Loss 1.7073 (1.7021) Prec@1 57.500 (54.511) Prec@5 80.000 (83.513) Epoch: [68][7300/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.8621 (1.7022) Prec@1 47.500 (54.509) Prec@5 80.625 (83.513) Epoch: [68][7310/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.5020 (1.7021) Prec@1 60.000 (54.511) Prec@5 85.625 (83.513) Epoch: [68][7320/11272] Time 0.804 (0.793) Data 0.001 (0.002) Loss 1.6713 (1.7021) Prec@1 54.375 (54.510) Prec@5 85.000 (83.513) Epoch: [68][7330/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.8793 (1.7021) Prec@1 50.625 (54.512) Prec@5 81.875 (83.514) Epoch: [68][7340/11272] Time 0.709 (0.793) Data 0.001 (0.002) Loss 1.7060 (1.7021) Prec@1 57.500 (54.508) Prec@5 83.750 (83.514) Epoch: [68][7350/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.6599 (1.7021) Prec@1 55.000 (54.509) Prec@5 86.250 (83.514) Epoch: [68][7360/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 1.8132 (1.7021) Prec@1 51.250 (54.509) Prec@5 81.875 (83.516) Epoch: [68][7370/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.6739 (1.7021) Prec@1 53.750 (54.508) Prec@5 84.375 (83.517) Epoch: [68][7380/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.6954 (1.7021) Prec@1 54.375 (54.507) Prec@5 83.750 (83.517) Epoch: [68][7390/11272] Time 0.825 (0.793) Data 0.002 (0.002) Loss 1.7738 (1.7021) Prec@1 52.500 (54.507) Prec@5 85.000 (83.517) Epoch: [68][7400/11272] Time 0.726 (0.793) Data 0.003 (0.002) Loss 1.6985 (1.7022) Prec@1 53.125 (54.507) Prec@5 85.000 (83.514) Epoch: [68][7410/11272] Time 0.709 (0.793) Data 0.001 (0.002) Loss 1.5592 (1.7022) Prec@1 55.625 (54.506) Prec@5 85.625 (83.514) Epoch: [68][7420/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 1.7510 (1.7023) Prec@1 53.125 (54.504) Prec@5 83.125 (83.513) Epoch: [68][7430/11272] Time 0.808 (0.793) Data 0.002 (0.002) Loss 1.8345 (1.7022) Prec@1 46.875 (54.502) Prec@5 82.500 (83.516) Epoch: [68][7440/11272] Time 0.720 (0.792) Data 0.001 (0.002) Loss 1.6389 (1.7021) Prec@1 55.000 (54.504) Prec@5 85.000 (83.515) Epoch: [68][7450/11272] Time 0.708 (0.792) Data 0.001 (0.002) Loss 1.7030 (1.7021) Prec@1 53.750 (54.506) Prec@5 85.000 (83.515) Epoch: [68][7460/11272] Time 0.859 (0.792) Data 0.001 (0.002) Loss 1.5621 (1.7021) Prec@1 55.625 (54.507) Prec@5 86.250 (83.516) Epoch: [68][7470/11272] Time 0.823 (0.792) Data 0.001 (0.002) Loss 1.4591 (1.7021) Prec@1 55.625 (54.506) Prec@5 88.125 (83.515) Epoch: [68][7480/11272] Time 0.741 (0.792) Data 0.001 (0.002) Loss 1.4640 (1.7019) Prec@1 59.375 (54.509) Prec@5 86.875 (83.518) Epoch: [68][7490/11272] Time 0.726 (0.792) Data 0.001 (0.002) Loss 1.6525 (1.7020) Prec@1 54.375 (54.507) Prec@5 81.250 (83.517) Epoch: [68][7500/11272] Time 0.837 (0.792) Data 0.001 (0.002) Loss 1.5833 (1.7021) Prec@1 53.125 (54.505) Prec@5 87.500 (83.516) Epoch: [68][7510/11272] Time 0.828 (0.792) Data 0.001 (0.002) Loss 1.5621 (1.7021) Prec@1 58.750 (54.502) Prec@5 89.375 (83.516) Epoch: [68][7520/11272] Time 0.743 (0.792) Data 0.002 (0.002) Loss 1.7481 (1.7022) Prec@1 53.750 (54.502) Prec@5 86.250 (83.517) Epoch: [68][7530/11272] Time 0.808 (0.792) Data 0.001 (0.002) Loss 1.6168 (1.7021) Prec@1 59.375 (54.501) Prec@5 80.625 (83.518) Epoch: [68][7540/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 1.6334 (1.7022) Prec@1 53.750 (54.500) Prec@5 84.375 (83.518) Epoch: [68][7550/11272] Time 0.760 (0.792) Data 0.001 (0.002) Loss 1.6706 (1.7022) Prec@1 54.375 (54.499) Prec@5 85.625 (83.518) Epoch: [68][7560/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.7546 (1.7023) Prec@1 52.500 (54.498) Prec@5 81.250 (83.516) Epoch: [68][7570/11272] Time 0.846 (0.792) Data 0.001 (0.002) Loss 1.6783 (1.7022) Prec@1 51.250 (54.497) Prec@5 83.125 (83.516) Epoch: [68][7580/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 1.6617 (1.7023) Prec@1 57.500 (54.498) Prec@5 85.625 (83.516) Epoch: [68][7590/11272] Time 0.719 (0.792) Data 0.001 (0.002) Loss 1.7074 (1.7022) Prec@1 56.250 (54.500) Prec@5 82.500 (83.517) Epoch: [68][7600/11272] Time 0.729 (0.792) Data 0.001 (0.002) Loss 1.8282 (1.7022) Prec@1 50.000 (54.500) Prec@5 81.250 (83.517) Epoch: [68][7610/11272] Time 0.840 (0.792) Data 0.001 (0.002) Loss 1.6019 (1.7022) Prec@1 55.625 (54.500) Prec@5 87.500 (83.517) Epoch: [68][7620/11272] Time 0.800 (0.792) Data 0.001 (0.002) Loss 1.7448 (1.7023) Prec@1 53.125 (54.500) Prec@5 80.000 (83.518) Epoch: [68][7630/11272] Time 0.716 (0.792) Data 0.001 (0.002) Loss 1.9740 (1.7023) Prec@1 43.125 (54.499) Prec@5 79.375 (83.519) Epoch: [68][7640/11272] Time 0.720 (0.792) Data 0.002 (0.002) Loss 1.6287 (1.7023) Prec@1 57.500 (54.497) Prec@5 85.625 (83.519) Epoch: [68][7650/11272] Time 0.817 (0.792) Data 0.001 (0.002) Loss 1.8853 (1.7023) Prec@1 55.000 (54.500) Prec@5 79.375 (83.518) Epoch: [68][7660/11272] Time 0.801 (0.792) Data 0.001 (0.002) Loss 1.8859 (1.7023) Prec@1 54.375 (54.500) Prec@5 80.000 (83.519) Epoch: [68][7670/11272] Time 0.714 (0.792) Data 0.001 (0.002) Loss 1.6296 (1.7024) Prec@1 54.375 (54.500) Prec@5 83.750 (83.521) Epoch: [68][7680/11272] Time 0.821 (0.792) Data 0.001 (0.002) Loss 1.6161 (1.7024) Prec@1 56.250 (54.499) Prec@5 83.125 (83.520) Epoch: [68][7690/11272] Time 0.895 (0.792) Data 0.002 (0.002) Loss 1.6647 (1.7024) Prec@1 48.750 (54.494) Prec@5 84.375 (83.519) Epoch: [68][7700/11272] Time 0.702 (0.792) Data 0.001 (0.002) Loss 1.8205 (1.7025) Prec@1 51.875 (54.495) Prec@5 85.000 (83.519) Epoch: [68][7710/11272] Time 0.711 (0.792) Data 0.001 (0.002) Loss 1.9352 (1.7025) Prec@1 49.375 (54.494) Prec@5 78.750 (83.519) Epoch: [68][7720/11272] Time 0.809 (0.792) Data 0.001 (0.002) Loss 1.8330 (1.7025) Prec@1 55.000 (54.496) Prec@5 83.125 (83.519) Epoch: [68][7730/11272] Time 0.811 (0.792) Data 0.001 (0.002) Loss 1.7755 (1.7026) Prec@1 51.250 (54.494) Prec@5 86.875 (83.519) Epoch: [68][7740/11272] Time 0.713 (0.792) Data 0.002 (0.002) Loss 1.5432 (1.7025) Prec@1 58.125 (54.496) Prec@5 83.125 (83.519) Epoch: [68][7750/11272] Time 0.732 (0.792) Data 0.001 (0.002) Loss 1.8979 (1.7024) Prec@1 49.375 (54.498) Prec@5 78.750 (83.520) Epoch: [68][7760/11272] Time 0.827 (0.792) Data 0.001 (0.002) Loss 1.7931 (1.7024) Prec@1 53.125 (54.501) Prec@5 80.000 (83.519) Epoch: [68][7770/11272] Time 0.808 (0.792) Data 0.001 (0.002) Loss 1.7566 (1.7024) Prec@1 53.125 (54.502) Prec@5 81.250 (83.517) Epoch: [68][7780/11272] Time 0.708 (0.792) Data 0.001 (0.002) Loss 1.8130 (1.7025) Prec@1 45.625 (54.499) Prec@5 83.750 (83.516) Epoch: [68][7790/11272] Time 0.713 (0.792) Data 0.001 (0.002) Loss 1.6161 (1.7026) Prec@1 55.000 (54.499) Prec@5 82.500 (83.516) Epoch: [68][7800/11272] Time 0.824 (0.792) Data 0.002 (0.002) Loss 1.5874 (1.7025) Prec@1 58.750 (54.501) Prec@5 87.500 (83.517) Epoch: [68][7810/11272] Time 0.699 (0.792) Data 0.001 (0.002) Loss 1.7600 (1.7026) Prec@1 53.750 (54.501) Prec@5 79.375 (83.515) Epoch: [68][7820/11272] Time 0.723 (0.792) Data 0.001 (0.002) Loss 1.5671 (1.7025) Prec@1 55.000 (54.500) Prec@5 87.500 (83.517) Epoch: [68][7830/11272] Time 0.857 (0.792) Data 0.001 (0.002) Loss 1.3786 (1.7025) Prec@1 60.625 (54.502) Prec@5 89.375 (83.518) Epoch: [68][7840/11272] Time 0.808 (0.792) Data 0.001 (0.002) Loss 1.5763 (1.7025) Prec@1 55.000 (54.501) Prec@5 86.250 (83.517) Epoch: [68][7850/11272] Time 0.716 (0.791) Data 0.001 (0.002) Loss 1.5846 (1.7025) Prec@1 56.250 (54.501) Prec@5 86.250 (83.518) Epoch: [68][7860/11272] Time 0.713 (0.791) Data 0.001 (0.002) Loss 1.6904 (1.7024) Prec@1 50.000 (54.501) Prec@5 88.125 (83.521) Epoch: [68][7870/11272] Time 0.828 (0.791) Data 0.001 (0.002) Loss 1.8898 (1.7025) Prec@1 50.625 (54.502) Prec@5 79.375 (83.519) Epoch: [68][7880/11272] Time 0.844 (0.791) Data 0.002 (0.002) Loss 1.7068 (1.7026) Prec@1 51.875 (54.501) Prec@5 84.375 (83.518) Epoch: [68][7890/11272] Time 0.706 (0.791) Data 0.001 (0.002) Loss 1.9144 (1.7026) Prec@1 51.875 (54.501) Prec@5 81.250 (83.517) Epoch: [68][7900/11272] Time 0.760 (0.791) Data 0.001 (0.002) Loss 1.7727 (1.7027) Prec@1 50.000 (54.499) Prec@5 83.125 (83.516) Epoch: [68][7910/11272] Time 0.807 (0.791) Data 0.001 (0.002) Loss 1.6342 (1.7026) Prec@1 58.125 (54.502) Prec@5 84.375 (83.517) Epoch: [68][7920/11272] Time 0.814 (0.791) Data 0.001 (0.002) Loss 1.6494 (1.7026) Prec@1 52.500 (54.503) Prec@5 84.375 (83.517) Epoch: [68][7930/11272] Time 0.729 (0.791) Data 0.001 (0.002) Loss 1.6500 (1.7026) Prec@1 57.500 (54.503) Prec@5 85.000 (83.517) Epoch: [68][7940/11272] Time 0.819 (0.791) Data 0.001 (0.002) Loss 1.6467 (1.7025) Prec@1 51.250 (54.506) Prec@5 89.375 (83.519) Epoch: [68][7950/11272] Time 0.815 (0.791) Data 0.002 (0.002) Loss 1.6466 (1.7026) Prec@1 52.500 (54.506) Prec@5 83.750 (83.518) Epoch: [68][7960/11272] Time 0.696 (0.791) Data 0.002 (0.002) Loss 1.9123 (1.7026) Prec@1 52.500 (54.504) Prec@5 81.250 (83.518) Epoch: [68][7970/11272] Time 0.708 (0.791) Data 0.001 (0.002) Loss 1.6991 (1.7026) Prec@1 60.000 (54.503) Prec@5 85.000 (83.517) Epoch: [68][7980/11272] Time 0.838 (0.791) Data 0.002 (0.002) Loss 1.7347 (1.7026) Prec@1 50.000 (54.502) Prec@5 81.875 (83.517) Epoch: [68][7990/11272] Time 0.789 (0.791) Data 0.001 (0.002) Loss 1.7771 (1.7027) Prec@1 55.625 (54.502) Prec@5 82.500 (83.515) Epoch: [68][8000/11272] Time 0.728 (0.791) Data 0.001 (0.002) Loss 1.8725 (1.7027) Prec@1 49.375 (54.503) Prec@5 80.625 (83.515) Epoch: [68][8010/11272] Time 0.727 (0.791) Data 0.001 (0.002) Loss 1.6945 (1.7027) Prec@1 52.500 (54.501) Prec@5 86.250 (83.517) Epoch: [68][8020/11272] Time 0.787 (0.791) Data 0.001 (0.002) Loss 1.8575 (1.7028) Prec@1 54.375 (54.499) Prec@5 81.875 (83.516) Epoch: [68][8030/11272] Time 0.796 (0.791) Data 0.001 (0.002) Loss 1.5279 (1.7027) Prec@1 55.625 (54.499) Prec@5 88.750 (83.519) Epoch: [68][8040/11272] Time 0.720 (0.791) Data 0.001 (0.002) Loss 1.6780 (1.7028) Prec@1 52.500 (54.499) Prec@5 85.625 (83.519) Epoch: [68][8050/11272] Time 0.715 (0.791) Data 0.001 (0.002) Loss 1.6409 (1.7028) Prec@1 59.375 (54.500) Prec@5 80.625 (83.518) Epoch: [68][8060/11272] Time 0.843 (0.791) Data 0.001 (0.002) Loss 1.6492 (1.7028) Prec@1 53.125 (54.500) Prec@5 83.125 (83.517) Epoch: [68][8070/11272] Time 0.742 (0.791) Data 0.003 (0.002) Loss 1.8931 (1.7029) Prec@1 50.625 (54.498) Prec@5 80.000 (83.515) Epoch: [68][8080/11272] Time 0.712 (0.791) Data 0.001 (0.002) Loss 1.9273 (1.7030) Prec@1 48.750 (54.495) Prec@5 81.250 (83.512) Epoch: [68][8090/11272] Time 0.835 (0.791) Data 0.001 (0.002) Loss 1.6741 (1.7030) Prec@1 59.375 (54.497) Prec@5 81.250 (83.511) Epoch: [68][8100/11272] Time 0.819 (0.791) Data 0.001 (0.002) Loss 1.7380 (1.7031) Prec@1 52.500 (54.496) Prec@5 81.875 (83.510) Epoch: [68][8110/11272] Time 0.712 (0.791) Data 0.001 (0.002) Loss 1.7183 (1.7031) Prec@1 53.125 (54.494) Prec@5 82.500 (83.510) Epoch: [68][8120/11272] Time 0.708 (0.791) Data 0.001 (0.002) Loss 1.8409 (1.7032) Prec@1 54.375 (54.492) Prec@5 84.375 (83.509) Epoch: [68][8130/11272] Time 0.851 (0.791) Data 0.001 (0.002) Loss 1.8428 (1.7033) Prec@1 48.750 (54.489) Prec@5 85.625 (83.508) Epoch: [68][8140/11272] Time 0.815 (0.791) Data 0.001 (0.002) Loss 1.8428 (1.7033) Prec@1 53.750 (54.489) Prec@5 80.625 (83.508) Epoch: [68][8150/11272] Time 0.713 (0.791) Data 0.001 (0.002) Loss 1.8527 (1.7034) Prec@1 52.500 (54.487) Prec@5 79.375 (83.508) Epoch: [68][8160/11272] Time 0.717 (0.791) Data 0.001 (0.002) Loss 1.6638 (1.7034) Prec@1 56.875 (54.488) Prec@5 83.750 (83.509) Epoch: [68][8170/11272] Time 0.826 (0.791) Data 0.001 (0.002) Loss 1.5446 (1.7033) Prec@1 53.125 (54.486) Prec@5 88.750 (83.511) Epoch: [68][8180/11272] Time 0.823 (0.791) Data 0.001 (0.002) Loss 1.9244 (1.7034) Prec@1 48.750 (54.485) Prec@5 79.375 (83.510) Epoch: [68][8190/11272] Time 0.713 (0.791) Data 0.001 (0.002) Loss 1.8663 (1.7034) Prec@1 52.500 (54.483) Prec@5 81.875 (83.509) Epoch: [68][8200/11272] Time 0.877 (0.791) Data 0.001 (0.002) Loss 1.4870 (1.7033) Prec@1 60.000 (54.485) Prec@5 85.625 (83.510) Epoch: [68][8210/11272] Time 0.817 (0.791) Data 0.001 (0.002) Loss 1.6693 (1.7033) Prec@1 55.625 (54.485) Prec@5 81.875 (83.510) Epoch: [68][8220/11272] Time 0.713 (0.791) Data 0.001 (0.002) Loss 1.6163 (1.7033) Prec@1 55.625 (54.485) Prec@5 83.750 (83.510) Epoch: [68][8230/11272] Time 0.712 (0.791) Data 0.001 (0.002) Loss 1.5750 (1.7033) Prec@1 55.625 (54.486) Prec@5 88.125 (83.511) Epoch: [68][8240/11272] Time 0.811 (0.791) Data 0.001 (0.002) Loss 1.9442 (1.7032) Prec@1 50.625 (54.489) Prec@5 78.125 (83.512) Epoch: [68][8250/11272] Time 0.792 (0.791) Data 0.001 (0.002) Loss 1.7326 (1.7032) Prec@1 50.625 (54.490) Prec@5 82.500 (83.511) Epoch: [68][8260/11272] Time 0.709 (0.791) Data 0.001 (0.002) Loss 1.5680 (1.7032) Prec@1 60.000 (54.488) Prec@5 85.625 (83.511) Epoch: [68][8270/11272] Time 0.761 (0.791) Data 0.003 (0.002) Loss 1.7605 (1.7032) Prec@1 58.125 (54.488) Prec@5 78.750 (83.509) Epoch: [68][8280/11272] Time 0.823 (0.791) Data 0.001 (0.002) Loss 1.7019 (1.7032) Prec@1 56.250 (54.489) Prec@5 81.875 (83.509) Epoch: [68][8290/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 1.6690 (1.7032) Prec@1 51.250 (54.488) Prec@5 83.750 (83.509) Epoch: [68][8300/11272] Time 0.689 (0.790) Data 0.001 (0.002) Loss 1.6278 (1.7032) Prec@1 55.625 (54.485) Prec@5 82.500 (83.508) Epoch: [68][8310/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.6367 (1.7032) Prec@1 54.375 (54.484) Prec@5 83.125 (83.509) Epoch: [68][8320/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.6869 (1.7032) Prec@1 51.875 (54.483) Prec@5 83.125 (83.509) Epoch: [68][8330/11272] Time 0.727 (0.790) Data 0.003 (0.002) Loss 1.8091 (1.7032) Prec@1 54.375 (54.482) Prec@5 83.125 (83.510) Epoch: [68][8340/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.9195 (1.7032) Prec@1 47.500 (54.482) Prec@5 81.250 (83.509) Epoch: [68][8350/11272] Time 0.865 (0.790) Data 0.002 (0.002) Loss 1.6551 (1.7032) Prec@1 55.000 (54.483) Prec@5 85.625 (83.509) Epoch: [68][8360/11272] Time 0.801 (0.790) Data 0.001 (0.002) Loss 1.5729 (1.7032) Prec@1 58.125 (54.483) Prec@5 85.625 (83.509) Epoch: [68][8370/11272] Time 0.760 (0.790) Data 0.000 (0.002) Loss 1.4810 (1.7032) Prec@1 58.125 (54.483) Prec@5 90.625 (83.510) Epoch: [68][8380/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 1.6590 (1.7032) Prec@1 55.000 (54.483) Prec@5 81.875 (83.511) Epoch: [68][8390/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.6745 (1.7032) Prec@1 51.875 (54.484) Prec@5 84.375 (83.511) Epoch: [68][8400/11272] Time 0.789 (0.790) Data 0.001 (0.002) Loss 1.8423 (1.7034) Prec@1 45.625 (54.479) Prec@5 82.500 (83.508) Epoch: [68][8410/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.5183 (1.7034) Prec@1 58.750 (54.479) Prec@5 82.500 (83.508) Epoch: [68][8420/11272] Time 0.744 (0.790) Data 0.001 (0.002) Loss 1.6050 (1.7034) Prec@1 56.250 (54.479) Prec@5 85.625 (83.507) Epoch: [68][8430/11272] Time 0.789 (0.790) Data 0.001 (0.002) Loss 1.7967 (1.7034) Prec@1 51.250 (54.482) Prec@5 81.250 (83.507) Epoch: [68][8440/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.6243 (1.7033) Prec@1 53.125 (54.482) Prec@5 85.000 (83.507) Epoch: [68][8450/11272] Time 0.737 (0.790) Data 0.002 (0.002) Loss 1.6063 (1.7033) Prec@1 58.125 (54.483) Prec@5 85.625 (83.508) Epoch: [68][8460/11272] Time 0.813 (0.790) Data 0.001 (0.002) Loss 1.6115 (1.7033) Prec@1 57.500 (54.484) Prec@5 82.500 (83.508) Epoch: [68][8470/11272] Time 0.866 (0.790) Data 0.001 (0.002) Loss 1.6828 (1.7033) Prec@1 56.250 (54.482) Prec@5 80.625 (83.508) Epoch: [68][8480/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.8920 (1.7034) Prec@1 53.750 (54.483) Prec@5 82.500 (83.506) Epoch: [68][8490/11272] Time 0.705 (0.790) Data 0.001 (0.002) Loss 1.5728 (1.7033) Prec@1 57.500 (54.484) Prec@5 85.000 (83.507) Epoch: [68][8500/11272] Time 0.875 (0.790) Data 0.001 (0.002) Loss 1.4736 (1.7033) Prec@1 62.500 (54.484) Prec@5 86.875 (83.507) Epoch: [68][8510/11272] Time 0.806 (0.790) Data 0.001 (0.002) Loss 1.5658 (1.7034) Prec@1 59.375 (54.482) Prec@5 81.875 (83.507) Epoch: [68][8520/11272] Time 0.762 (0.790) Data 0.003 (0.002) Loss 1.9555 (1.7034) Prec@1 48.750 (54.482) Prec@5 77.500 (83.506) Epoch: [68][8530/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.7585 (1.7034) Prec@1 51.250 (54.483) Prec@5 80.625 (83.506) Epoch: [68][8540/11272] Time 0.813 (0.790) Data 0.001 (0.002) Loss 1.6909 (1.7034) Prec@1 53.125 (54.484) Prec@5 82.500 (83.506) Epoch: [68][8550/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.6914 (1.7034) Prec@1 56.875 (54.485) Prec@5 85.000 (83.507) Epoch: [68][8560/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.8506 (1.7034) Prec@1 56.250 (54.485) Prec@5 80.625 (83.506) Epoch: [68][8570/11272] Time 0.691 (0.790) Data 0.001 (0.002) Loss 1.5695 (1.7035) Prec@1 56.250 (54.483) Prec@5 83.125 (83.505) Epoch: [68][8580/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.7231 (1.7035) Prec@1 59.375 (54.485) Prec@5 84.375 (83.506) Epoch: [68][8590/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.6671 (1.7034) Prec@1 59.375 (54.487) Prec@5 81.250 (83.508) Epoch: [68][8600/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.6104 (1.7034) Prec@1 53.125 (54.484) Prec@5 86.250 (83.508) Epoch: [68][8610/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.8454 (1.7035) Prec@1 51.875 (54.482) Prec@5 81.250 (83.507) Epoch: [68][8620/11272] Time 0.802 (0.790) Data 0.002 (0.002) Loss 1.8070 (1.7035) Prec@1 56.250 (54.483) Prec@5 78.750 (83.506) Epoch: [68][8630/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.8148 (1.7035) Prec@1 51.250 (54.484) Prec@5 84.375 (83.507) Epoch: [68][8640/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.8186 (1.7036) Prec@1 46.875 (54.480) Prec@5 83.125 (83.506) Epoch: [68][8650/11272] Time 0.813 (0.790) Data 0.001 (0.002) Loss 1.8060 (1.7036) Prec@1 52.500 (54.479) Prec@5 83.125 (83.506) Epoch: [68][8660/11272] Time 0.812 (0.790) Data 0.001 (0.002) Loss 1.8139 (1.7036) Prec@1 53.750 (54.479) Prec@5 81.875 (83.506) Epoch: [68][8670/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.8196 (1.7036) Prec@1 49.375 (54.478) Prec@5 78.750 (83.506) Epoch: [68][8680/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.4833 (1.7036) Prec@1 61.250 (54.479) Prec@5 88.750 (83.506) Epoch: [68][8690/11272] Time 0.807 (0.790) Data 0.001 (0.002) Loss 1.5252 (1.7035) Prec@1 58.750 (54.479) Prec@5 88.125 (83.506) Epoch: [68][8700/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 1.5373 (1.7035) Prec@1 56.250 (54.478) Prec@5 86.875 (83.507) Epoch: [68][8710/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.5971 (1.7035) Prec@1 55.625 (54.480) Prec@5 83.125 (83.507) Epoch: [68][8720/11272] Time 0.707 (0.790) Data 0.001 (0.002) Loss 1.6285 (1.7035) Prec@1 56.250 (54.478) Prec@5 85.000 (83.508) Epoch: [68][8730/11272] Time 0.826 (0.790) Data 0.002 (0.002) Loss 1.6765 (1.7035) Prec@1 58.125 (54.477) Prec@5 84.375 (83.507) Epoch: [68][8740/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.5517 (1.7035) Prec@1 56.250 (54.475) Prec@5 84.375 (83.508) Epoch: [68][8750/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.5149 (1.7037) Prec@1 60.625 (54.470) Prec@5 85.625 (83.506) Epoch: [68][8760/11272] Time 0.813 (0.790) Data 0.001 (0.002) Loss 1.4698 (1.7036) Prec@1 63.125 (54.473) Prec@5 86.875 (83.506) Epoch: [68][8770/11272] Time 0.795 (0.790) Data 0.001 (0.002) Loss 1.7932 (1.7037) Prec@1 56.875 (54.472) Prec@5 81.250 (83.504) Epoch: [68][8780/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 1.5097 (1.7037) Prec@1 63.750 (54.471) Prec@5 87.500 (83.504) Epoch: [68][8790/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.7440 (1.7037) Prec@1 55.625 (54.471) Prec@5 81.875 (83.505) Epoch: [68][8800/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.9035 (1.7037) Prec@1 50.000 (54.470) Prec@5 78.750 (83.503) Epoch: [68][8810/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.7135 (1.7037) Prec@1 54.375 (54.470) Prec@5 80.625 (83.503) Epoch: [68][8820/11272] Time 0.747 (0.790) Data 0.001 (0.002) Loss 1.8097 (1.7037) Prec@1 51.250 (54.470) Prec@5 81.250 (83.504) Epoch: [68][8830/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.6823 (1.7037) Prec@1 55.625 (54.473) Prec@5 83.750 (83.505) Epoch: [68][8840/11272] Time 0.856 (0.789) Data 0.002 (0.002) Loss 1.6435 (1.7037) Prec@1 60.625 (54.475) Prec@5 87.500 (83.506) Epoch: [68][8850/11272] Time 0.803 (0.789) Data 0.001 (0.002) Loss 1.6082 (1.7037) Prec@1 53.750 (54.475) Prec@5 85.000 (83.506) Epoch: [68][8860/11272] Time 0.737 (0.789) Data 0.001 (0.002) Loss 1.6075 (1.7037) Prec@1 55.000 (54.475) Prec@5 85.000 (83.506) Epoch: [68][8870/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.8886 (1.7037) Prec@1 48.750 (54.474) Prec@5 82.500 (83.505) Epoch: [68][8880/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.7737 (1.7038) Prec@1 52.500 (54.472) Prec@5 80.625 (83.504) Epoch: [68][8890/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.6104 (1.7036) Prec@1 57.500 (54.475) Prec@5 81.875 (83.506) Epoch: [68][8900/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.6727 (1.7037) Prec@1 58.125 (54.475) Prec@5 83.750 (83.505) Epoch: [68][8910/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.7360 (1.7037) Prec@1 51.875 (54.474) Prec@5 83.125 (83.505) Epoch: [68][8920/11272] Time 0.798 (0.789) Data 0.001 (0.002) Loss 1.7876 (1.7036) Prec@1 53.750 (54.475) Prec@5 79.375 (83.506) Epoch: [68][8930/11272] Time 0.747 (0.789) Data 0.001 (0.002) Loss 1.6220 (1.7037) Prec@1 53.125 (54.474) Prec@5 85.625 (83.505) Epoch: [68][8940/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.4585 (1.7037) Prec@1 58.125 (54.473) Prec@5 86.250 (83.504) Epoch: [68][8950/11272] Time 0.846 (0.789) Data 0.001 (0.002) Loss 1.5292 (1.7037) Prec@1 57.500 (54.473) Prec@5 87.500 (83.504) Epoch: [68][8960/11272] Time 0.809 (0.789) Data 0.001 (0.002) Loss 1.7574 (1.7037) Prec@1 50.625 (54.474) Prec@5 83.750 (83.504) Epoch: [68][8970/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.7619 (1.7037) Prec@1 52.500 (54.475) Prec@5 81.250 (83.503) Epoch: [68][8980/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.7393 (1.7037) Prec@1 50.000 (54.474) Prec@5 83.750 (83.504) Epoch: [68][8990/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.6317 (1.7038) Prec@1 59.375 (54.474) Prec@5 85.625 (83.504) Epoch: [68][9000/11272] Time 0.734 (0.789) Data 0.003 (0.002) Loss 1.6769 (1.7038) Prec@1 51.875 (54.471) Prec@5 83.125 (83.503) Epoch: [68][9010/11272] Time 0.704 (0.789) Data 0.001 (0.002) Loss 1.9673 (1.7039) Prec@1 48.750 (54.471) Prec@5 75.000 (83.502) Epoch: [68][9020/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.7366 (1.7040) Prec@1 58.125 (54.469) Prec@5 80.625 (83.500) Epoch: [68][9030/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.7024 (1.7040) Prec@1 55.625 (54.469) Prec@5 83.750 (83.501) Epoch: [68][9040/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.6491 (1.7039) Prec@1 56.250 (54.470) Prec@5 86.250 (83.503) Epoch: [68][9050/11272] Time 0.707 (0.789) Data 0.001 (0.002) Loss 1.8272 (1.7039) Prec@1 51.250 (54.469) Prec@5 80.000 (83.503) Epoch: [68][9060/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.5143 (1.7039) Prec@1 55.625 (54.471) Prec@5 90.625 (83.504) Epoch: [68][9070/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.7874 (1.7039) Prec@1 54.375 (54.470) Prec@5 82.500 (83.504) Epoch: [68][9080/11272] Time 0.708 (0.789) Data 0.002 (0.002) Loss 1.5009 (1.7039) Prec@1 60.625 (54.470) Prec@5 87.500 (83.504) Epoch: [68][9090/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5258 (1.7039) Prec@1 61.250 (54.471) Prec@5 85.625 (83.503) Epoch: [68][9100/11272] Time 0.823 (0.789) Data 0.001 (0.002) Loss 1.9314 (1.7038) Prec@1 48.125 (54.473) Prec@5 76.875 (83.504) Epoch: [68][9110/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.8910 (1.7038) Prec@1 49.375 (54.474) Prec@5 83.125 (83.503) Epoch: [68][9120/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.6984 (1.7039) Prec@1 53.750 (54.471) Prec@5 80.625 (83.502) Epoch: [68][9130/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 1.7108 (1.7039) Prec@1 55.625 (54.470) Prec@5 83.125 (83.502) Epoch: [68][9140/11272] Time 0.849 (0.789) Data 0.001 (0.002) Loss 1.7726 (1.7039) Prec@1 50.000 (54.470) Prec@5 84.375 (83.503) Epoch: [68][9150/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.7042 (1.7038) Prec@1 57.500 (54.472) Prec@5 85.625 (83.505) Epoch: [68][9160/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.7425 (1.7037) Prec@1 51.875 (54.473) Prec@5 80.625 (83.507) Epoch: [68][9170/11272] Time 0.816 (0.789) Data 0.002 (0.002) Loss 1.5540 (1.7038) Prec@1 51.250 (54.471) Prec@5 85.000 (83.505) Epoch: [68][9180/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.4652 (1.7038) Prec@1 59.375 (54.470) Prec@5 88.125 (83.504) Epoch: [68][9190/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7541 (1.7038) Prec@1 51.875 (54.469) Prec@5 81.250 (83.505) Epoch: [68][9200/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.6970 (1.7038) Prec@1 49.375 (54.468) Prec@5 84.375 (83.505) Epoch: [68][9210/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.5183 (1.7037) Prec@1 57.500 (54.470) Prec@5 87.500 (83.507) Epoch: [68][9220/11272] Time 0.823 (0.789) Data 0.001 (0.002) Loss 1.6682 (1.7037) Prec@1 56.875 (54.472) Prec@5 80.625 (83.506) Epoch: [68][9230/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.5963 (1.7037) Prec@1 62.500 (54.473) Prec@5 85.000 (83.506) Epoch: [68][9240/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.8532 (1.7037) Prec@1 52.500 (54.473) Prec@5 81.250 (83.505) Epoch: [68][9250/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 1.5928 (1.7037) Prec@1 55.625 (54.473) Prec@5 85.000 (83.506) Epoch: [68][9260/11272] Time 0.719 (0.789) Data 0.003 (0.002) Loss 1.5654 (1.7037) Prec@1 55.625 (54.472) Prec@5 85.000 (83.506) Epoch: [68][9270/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.6114 (1.7038) Prec@1 56.875 (54.471) Prec@5 87.500 (83.505) Epoch: [68][9280/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.8940 (1.7038) Prec@1 50.000 (54.470) Prec@5 82.500 (83.503) Epoch: [68][9290/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.7259 (1.7038) Prec@1 53.750 (54.472) Prec@5 81.250 (83.504) Epoch: [68][9300/11272] Time 0.711 (0.789) Data 0.001 (0.002) Loss 1.5512 (1.7038) Prec@1 62.500 (54.472) Prec@5 86.250 (83.503) Epoch: [68][9310/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5946 (1.7038) Prec@1 60.000 (54.471) Prec@5 83.750 (83.503) Epoch: [68][9320/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.8405 (1.7038) Prec@1 50.000 (54.472) Prec@5 83.125 (83.504) Epoch: [68][9330/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 2.0134 (1.7038) Prec@1 51.875 (54.474) Prec@5 78.750 (83.504) Epoch: [68][9340/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6582 (1.7038) Prec@1 49.375 (54.474) Prec@5 86.875 (83.503) Epoch: [68][9350/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.8770 (1.7038) Prec@1 51.250 (54.474) Prec@5 83.750 (83.502) Epoch: [68][9360/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.7576 (1.7039) Prec@1 53.125 (54.472) Prec@5 83.125 (83.501) Epoch: [68][9370/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.5991 (1.7038) Prec@1 53.750 (54.472) Prec@5 88.125 (83.503) Epoch: [68][9380/11272] Time 0.724 (0.789) Data 0.002 (0.002) Loss 1.6996 (1.7039) Prec@1 54.375 (54.470) Prec@5 83.750 (83.503) Epoch: [68][9390/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 1.7753 (1.7039) Prec@1 53.750 (54.470) Prec@5 81.875 (83.503) Epoch: [68][9400/11272] Time 0.808 (0.789) Data 0.001 (0.002) Loss 1.8883 (1.7040) Prec@1 54.375 (54.469) Prec@5 81.250 (83.503) Epoch: [68][9410/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.7024 (1.7040) Prec@1 54.375 (54.469) Prec@5 83.125 (83.502) Epoch: [68][9420/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.8267 (1.7040) Prec@1 51.250 (54.466) Prec@5 81.250 (83.501) Epoch: [68][9430/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.7927 (1.7040) Prec@1 53.125 (54.467) Prec@5 83.125 (83.502) Epoch: [68][9440/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.4432 (1.7040) Prec@1 56.250 (54.467) Prec@5 91.250 (83.502) Epoch: [68][9450/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.4354 (1.7039) Prec@1 60.000 (54.468) Prec@5 87.500 (83.502) Epoch: [68][9460/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 1.7095 (1.7040) Prec@1 55.625 (54.467) Prec@5 82.500 (83.502) Epoch: [68][9470/11272] Time 0.808 (0.788) Data 0.001 (0.002) Loss 1.6600 (1.7039) Prec@1 55.625 (54.467) Prec@5 85.625 (83.503) Epoch: [68][9480/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 1.6171 (1.7039) Prec@1 53.750 (54.466) Prec@5 86.250 (83.503) Epoch: [68][9490/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 1.6564 (1.7039) Prec@1 56.250 (54.465) Prec@5 85.000 (83.503) Epoch: [68][9500/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 1.7534 (1.7039) Prec@1 52.500 (54.465) Prec@5 84.375 (83.503) Epoch: [68][9510/11272] Time 0.810 (0.788) Data 0.001 (0.002) Loss 1.5970 (1.7039) Prec@1 51.250 (54.466) Prec@5 85.000 (83.504) Epoch: [68][9520/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.6764 (1.7039) Prec@1 55.625 (54.466) Prec@5 86.250 (83.505) Epoch: [68][9530/11272] Time 0.698 (0.788) Data 0.001 (0.002) Loss 1.4333 (1.7038) Prec@1 56.250 (54.469) Prec@5 86.875 (83.506) Epoch: [68][9540/11272] Time 0.821 (0.788) Data 0.001 (0.002) Loss 1.6965 (1.7038) Prec@1 55.000 (54.469) Prec@5 83.125 (83.508) Epoch: [68][9550/11272] Time 0.803 (0.788) Data 0.001 (0.002) Loss 1.5856 (1.7038) Prec@1 60.625 (54.470) Prec@5 85.625 (83.508) Epoch: [68][9560/11272] Time 0.733 (0.788) Data 0.002 (0.002) Loss 1.6986 (1.7038) Prec@1 56.250 (54.469) Prec@5 83.125 (83.506) Epoch: [68][9570/11272] Time 0.739 (0.788) Data 0.002 (0.002) Loss 1.7322 (1.7038) Prec@1 55.625 (54.469) Prec@5 82.500 (83.507) Epoch: [68][9580/11272] Time 0.871 (0.788) Data 0.002 (0.002) Loss 1.7916 (1.7038) Prec@1 48.125 (54.468) Prec@5 83.125 (83.507) Epoch: [68][9590/11272] Time 0.812 (0.788) Data 0.001 (0.002) Loss 1.9475 (1.7038) Prec@1 51.875 (54.470) Prec@5 78.750 (83.507) Epoch: [68][9600/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.7938 (1.7038) Prec@1 53.125 (54.468) Prec@5 80.000 (83.506) Epoch: [68][9610/11272] Time 0.706 (0.788) Data 0.001 (0.002) Loss 1.6506 (1.7038) Prec@1 55.625 (54.468) Prec@5 85.000 (83.507) Epoch: [68][9620/11272] Time 0.828 (0.788) Data 0.001 (0.002) Loss 1.6024 (1.7038) Prec@1 59.375 (54.469) Prec@5 88.125 (83.507) Epoch: [68][9630/11272] Time 0.825 (0.788) Data 0.002 (0.002) Loss 1.6717 (1.7038) Prec@1 52.500 (54.469) Prec@5 84.375 (83.507) Epoch: [68][9640/11272] Time 0.694 (0.788) Data 0.001 (0.002) Loss 1.5812 (1.7038) Prec@1 60.000 (54.468) Prec@5 86.875 (83.506) Epoch: [68][9650/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.5989 (1.7039) Prec@1 58.750 (54.468) Prec@5 83.125 (83.506) Epoch: [68][9660/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.7804 (1.7039) Prec@1 51.875 (54.467) Prec@5 78.750 (83.504) Epoch: [68][9670/11272] Time 0.708 (0.788) Data 0.001 (0.002) Loss 1.5748 (1.7040) Prec@1 54.375 (54.467) Prec@5 91.875 (83.505) Epoch: [68][9680/11272] Time 0.746 (0.788) Data 0.001 (0.002) Loss 1.7359 (1.7040) Prec@1 56.250 (54.465) Prec@5 79.375 (83.503) Epoch: [68][9690/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 1.9889 (1.7041) Prec@1 48.125 (54.463) Prec@5 79.375 (83.501) Epoch: [68][9700/11272] Time 0.842 (0.788) Data 0.002 (0.002) Loss 1.6990 (1.7041) Prec@1 54.375 (54.464) Prec@5 81.875 (83.501) Epoch: [68][9710/11272] Time 0.700 (0.788) Data 0.001 (0.002) Loss 1.6874 (1.7042) Prec@1 56.250 (54.462) Prec@5 85.625 (83.501) Epoch: [68][9720/11272] Time 0.709 (0.788) Data 0.001 (0.002) Loss 1.7641 (1.7042) Prec@1 51.250 (54.463) Prec@5 82.500 (83.500) Epoch: [68][9730/11272] Time 0.850 (0.788) Data 0.001 (0.002) Loss 1.9249 (1.7042) Prec@1 48.125 (54.461) Prec@5 78.125 (83.500) Epoch: [68][9740/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.6297 (1.7042) Prec@1 63.125 (54.462) Prec@5 85.000 (83.501) Epoch: [68][9750/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.7361 (1.7042) Prec@1 52.500 (54.461) Prec@5 83.125 (83.501) Epoch: [68][9760/11272] Time 0.704 (0.788) Data 0.001 (0.002) Loss 1.6628 (1.7042) Prec@1 52.500 (54.460) Prec@5 86.875 (83.500) Epoch: [68][9770/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.7341 (1.7042) Prec@1 51.875 (54.459) Prec@5 81.250 (83.501) Epoch: [68][9780/11272] Time 0.800 (0.788) Data 0.001 (0.002) Loss 1.5538 (1.7042) Prec@1 55.625 (54.461) Prec@5 87.500 (83.502) Epoch: [68][9790/11272] Time 0.713 (0.788) Data 0.001 (0.002) Loss 1.5958 (1.7041) Prec@1 60.000 (54.462) Prec@5 85.000 (83.502) Epoch: [68][9800/11272] Time 0.810 (0.788) Data 0.001 (0.002) Loss 1.7655 (1.7041) Prec@1 50.625 (54.461) Prec@5 81.250 (83.501) Epoch: [68][9810/11272] Time 0.804 (0.788) Data 0.001 (0.002) Loss 1.6573 (1.7043) Prec@1 60.625 (54.459) Prec@5 80.625 (83.498) Epoch: [68][9820/11272] Time 0.722 (0.788) Data 0.001 (0.002) Loss 1.4611 (1.7043) Prec@1 58.750 (54.458) Prec@5 90.625 (83.498) Epoch: [68][9830/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.5521 (1.7042) Prec@1 54.375 (54.457) Prec@5 88.125 (83.500) Epoch: [68][9840/11272] Time 0.847 (0.788) Data 0.001 (0.002) Loss 1.6136 (1.7043) Prec@1 56.250 (54.459) Prec@5 85.625 (83.499) Epoch: [68][9850/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.7889 (1.7043) Prec@1 53.750 (54.457) Prec@5 80.000 (83.498) Epoch: [68][9860/11272] Time 0.699 (0.788) Data 0.001 (0.002) Loss 1.4921 (1.7043) Prec@1 58.750 (54.457) Prec@5 86.875 (83.498) Epoch: [68][9870/11272] Time 0.701 (0.788) Data 0.001 (0.002) Loss 1.5913 (1.7043) Prec@1 56.250 (54.457) Prec@5 84.375 (83.499) Epoch: [68][9880/11272] Time 0.828 (0.788) Data 0.001 (0.002) Loss 1.6347 (1.7042) Prec@1 53.125 (54.457) Prec@5 86.250 (83.499) Epoch: [68][9890/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.6164 (1.7042) Prec@1 53.750 (54.456) Prec@5 83.750 (83.501) Epoch: [68][9900/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.6180 (1.7042) Prec@1 53.125 (54.455) Prec@5 85.625 (83.501) Epoch: [68][9910/11272] Time 0.714 (0.788) Data 0.001 (0.002) Loss 1.5405 (1.7043) Prec@1 60.000 (54.454) Prec@5 86.875 (83.500) Epoch: [68][9920/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.6803 (1.7043) Prec@1 55.000 (54.454) Prec@5 82.500 (83.499) Epoch: [68][9930/11272] Time 0.718 (0.788) Data 0.003 (0.002) Loss 1.6159 (1.7042) Prec@1 57.500 (54.456) Prec@5 85.000 (83.500) Epoch: [68][9940/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 1.6965 (1.7042) Prec@1 53.125 (54.457) Prec@5 82.500 (83.500) Epoch: [68][9950/11272] Time 0.851 (0.788) Data 0.002 (0.002) Loss 1.5947 (1.7042) Prec@1 58.125 (54.457) Prec@5 85.000 (83.500) Epoch: [68][9960/11272] Time 0.809 (0.788) Data 0.001 (0.002) Loss 1.8024 (1.7042) Prec@1 50.625 (54.457) Prec@5 83.750 (83.502) Epoch: [68][9970/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.6410 (1.7042) Prec@1 53.125 (54.457) Prec@5 85.625 (83.502) Epoch: [68][9980/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.9094 (1.7042) Prec@1 47.500 (54.457) Prec@5 79.375 (83.499) Epoch: [68][9990/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.8683 (1.7042) Prec@1 52.500 (54.457) Prec@5 81.250 (83.499) Epoch: [68][10000/11272] Time 0.805 (0.788) Data 0.001 (0.002) Loss 1.7007 (1.7043) Prec@1 55.625 (54.456) Prec@5 84.375 (83.499) Epoch: [68][10010/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 1.6576 (1.7043) Prec@1 56.875 (54.455) Prec@5 82.500 (83.498) Epoch: [68][10020/11272] Time 0.723 (0.788) Data 0.001 (0.002) Loss 1.6753 (1.7043) Prec@1 54.375 (54.453) Prec@5 84.375 (83.498) Epoch: [68][10030/11272] Time 0.847 (0.788) Data 0.001 (0.002) Loss 1.7563 (1.7043) Prec@1 55.625 (54.455) Prec@5 83.750 (83.499) Epoch: [68][10040/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.9260 (1.7043) Prec@1 50.625 (54.456) Prec@5 81.875 (83.498) Epoch: [68][10050/11272] Time 0.758 (0.787) Data 0.001 (0.002) Loss 1.5726 (1.7042) Prec@1 58.125 (54.458) Prec@5 82.500 (83.499) Epoch: [68][10060/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 1.6588 (1.7043) Prec@1 56.875 (54.457) Prec@5 81.875 (83.498) Epoch: [68][10070/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 1.6279 (1.7043) Prec@1 54.375 (54.456) Prec@5 86.875 (83.498) Epoch: [68][10080/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.5287 (1.7043) Prec@1 61.250 (54.457) Prec@5 86.875 (83.499) Epoch: [68][10090/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.6902 (1.7042) Prec@1 51.250 (54.458) Prec@5 85.625 (83.499) Epoch: [68][10100/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.7974 (1.7043) Prec@1 48.750 (54.457) Prec@5 82.500 (83.499) Epoch: [68][10110/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.9381 (1.7043) Prec@1 46.875 (54.456) Prec@5 79.375 (83.498) Epoch: [68][10120/11272] Time 0.729 (0.787) Data 0.002 (0.002) Loss 1.9402 (1.7044) Prec@1 50.625 (54.456) Prec@5 81.875 (83.498) Epoch: [68][10130/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.6574 (1.7043) Prec@1 56.250 (54.456) Prec@5 81.250 (83.498) Epoch: [68][10140/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 1.9071 (1.7044) Prec@1 49.375 (54.455) Prec@5 83.125 (83.497) Epoch: [68][10150/11272] Time 0.844 (0.787) Data 0.002 (0.002) Loss 1.6500 (1.7044) Prec@1 56.250 (54.455) Prec@5 85.000 (83.497) Epoch: [68][10160/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.8304 (1.7044) Prec@1 53.125 (54.454) Prec@5 80.625 (83.495) Epoch: [68][10170/11272] Time 0.689 (0.787) Data 0.001 (0.002) Loss 1.7319 (1.7044) Prec@1 58.750 (54.454) Prec@5 80.625 (83.495) Epoch: [68][10180/11272] Time 0.810 (0.787) Data 0.001 (0.002) Loss 1.6778 (1.7044) Prec@1 52.500 (54.455) Prec@5 84.375 (83.496) Epoch: [68][10190/11272] Time 0.703 (0.787) Data 0.003 (0.002) Loss 1.5021 (1.7044) Prec@1 57.500 (54.454) Prec@5 85.625 (83.497) Epoch: [68][10200/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.7303 (1.7045) Prec@1 54.375 (54.452) Prec@5 81.250 (83.494) Epoch: [68][10210/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.6589 (1.7045) Prec@1 55.000 (54.453) Prec@5 83.750 (83.493) Epoch: [68][10220/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.7354 (1.7045) Prec@1 50.625 (54.452) Prec@5 81.250 (83.492) Epoch: [68][10230/11272] Time 0.723 (0.787) Data 0.002 (0.002) Loss 1.6814 (1.7046) Prec@1 54.375 (54.450) Prec@5 85.625 (83.491) Epoch: [68][10240/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.6958 (1.7045) Prec@1 55.625 (54.450) Prec@5 83.125 (83.493) Epoch: [68][10250/11272] Time 0.853 (0.787) Data 0.001 (0.002) Loss 1.6128 (1.7046) Prec@1 58.125 (54.450) Prec@5 84.375 (83.493) Epoch: [68][10260/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 1.7671 (1.7045) Prec@1 55.625 (54.452) Prec@5 83.125 (83.493) Epoch: [68][10270/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 1.6575 (1.7046) Prec@1 58.125 (54.451) Prec@5 83.750 (83.493) Epoch: [68][10280/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 1.5549 (1.7046) Prec@1 56.875 (54.452) Prec@5 88.750 (83.493) Epoch: [68][10290/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.6309 (1.7045) Prec@1 55.000 (54.453) Prec@5 85.625 (83.494) Epoch: [68][10300/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.6233 (1.7045) Prec@1 55.000 (54.453) Prec@5 83.125 (83.494) Epoch: [68][10310/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.5648 (1.7045) Prec@1 55.625 (54.453) Prec@5 83.750 (83.494) Epoch: [68][10320/11272] Time 0.800 (0.787) Data 0.001 (0.002) Loss 1.8833 (1.7045) Prec@1 48.125 (54.456) Prec@5 80.625 (83.495) Epoch: [68][10330/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.6060 (1.7045) Prec@1 60.000 (54.454) Prec@5 85.625 (83.495) Epoch: [68][10340/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.6113 (1.7046) Prec@1 53.750 (54.452) Prec@5 88.125 (83.494) Epoch: [68][10350/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.7484 (1.7045) Prec@1 56.875 (54.454) Prec@5 83.125 (83.495) Epoch: [68][10360/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.5704 (1.7045) Prec@1 57.500 (54.453) Prec@5 85.000 (83.494) Epoch: [68][10370/11272] Time 0.796 (0.787) Data 0.001 (0.002) Loss 1.5886 (1.7046) Prec@1 57.500 (54.453) Prec@5 86.875 (83.494) Epoch: [68][10380/11272] Time 0.702 (0.787) Data 0.001 (0.002) Loss 1.6842 (1.7045) Prec@1 51.250 (54.454) Prec@5 86.250 (83.496) Epoch: [68][10390/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 1.6731 (1.7046) Prec@1 53.125 (54.453) Prec@5 85.000 (83.495) Epoch: [68][10400/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 1.4688 (1.7045) Prec@1 61.250 (54.454) Prec@5 86.250 (83.495) Epoch: [68][10410/11272] Time 0.867 (0.787) Data 0.001 (0.002) Loss 1.8400 (1.7045) Prec@1 53.125 (54.454) Prec@5 82.500 (83.496) Epoch: [68][10420/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.5194 (1.7045) Prec@1 56.250 (54.453) Prec@5 88.125 (83.495) Epoch: [68][10430/11272] Time 0.708 (0.787) Data 0.001 (0.002) Loss 1.5604 (1.7045) Prec@1 55.000 (54.453) Prec@5 86.250 (83.495) Epoch: [68][10440/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.8044 (1.7046) Prec@1 49.375 (54.452) Prec@5 86.250 (83.494) Epoch: [68][10450/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 1.6975 (1.7046) Prec@1 57.500 (54.453) Prec@5 81.250 (83.494) Epoch: [68][10460/11272] Time 0.706 (0.787) Data 0.001 (0.002) Loss 1.6462 (1.7046) Prec@1 58.750 (54.454) Prec@5 83.125 (83.494) Epoch: [68][10470/11272] Time 0.812 (0.787) Data 0.001 (0.002) Loss 1.7938 (1.7047) Prec@1 53.750 (54.452) Prec@5 81.875 (83.492) Epoch: [68][10480/11272] Time 0.798 (0.787) Data 0.001 (0.002) Loss 1.6342 (1.7047) Prec@1 54.375 (54.452) Prec@5 86.250 (83.492) Epoch: [68][10490/11272] Time 0.749 (0.787) Data 0.001 (0.002) Loss 1.7120 (1.7047) Prec@1 49.375 (54.453) Prec@5 85.000 (83.493) Epoch: [68][10500/11272] Time 0.679 (0.787) Data 0.001 (0.002) Loss 1.6895 (1.7047) Prec@1 54.375 (54.453) Prec@5 84.375 (83.493) Epoch: [68][10510/11272] Time 0.789 (0.787) Data 0.001 (0.002) Loss 1.6453 (1.7046) Prec@1 56.875 (54.455) Prec@5 80.000 (83.494) Epoch: [68][10520/11272] Time 0.801 (0.787) Data 0.001 (0.002) Loss 1.6490 (1.7045) Prec@1 56.250 (54.456) Prec@5 83.125 (83.496) Epoch: [68][10530/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.8132 (1.7045) Prec@1 50.625 (54.457) Prec@5 84.375 (83.496) Epoch: [68][10540/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.6950 (1.7045) Prec@1 58.750 (54.456) Prec@5 85.000 (83.496) Epoch: [68][10550/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.7924 (1.7046) Prec@1 54.375 (54.458) Prec@5 81.875 (83.495) Epoch: [68][10560/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.9333 (1.7046) Prec@1 48.125 (54.456) Prec@5 76.250 (83.493) Epoch: [68][10570/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.6564 (1.7047) Prec@1 56.875 (54.458) Prec@5 83.750 (83.492) Epoch: [68][10580/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.7545 (1.7046) Prec@1 56.250 (54.458) Prec@5 80.625 (83.492) Epoch: [68][10590/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.6601 (1.7046) Prec@1 49.375 (54.458) Prec@5 86.875 (83.493) Epoch: [68][10600/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 1.5716 (1.7046) Prec@1 58.750 (54.458) Prec@5 86.250 (83.493) Epoch: [68][10610/11272] Time 0.704 (0.787) Data 0.001 (0.002) Loss 1.5736 (1.7046) Prec@1 60.625 (54.459) Prec@5 85.625 (83.494) Epoch: [68][10620/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.5883 (1.7046) Prec@1 58.125 (54.457) Prec@5 85.625 (83.494) Epoch: [68][10630/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.5520 (1.7045) Prec@1 54.375 (54.458) Prec@5 88.750 (83.494) Epoch: [68][10640/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.8436 (1.7045) Prec@1 52.500 (54.459) Prec@5 81.875 (83.494) Epoch: [68][10650/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.5798 (1.7045) Prec@1 54.375 (54.457) Prec@5 84.375 (83.494) Epoch: [68][10660/11272] Time 0.839 (0.787) Data 0.002 (0.002) Loss 1.7347 (1.7045) Prec@1 51.875 (54.457) Prec@5 83.125 (83.493) Epoch: [68][10670/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.8265 (1.7046) Prec@1 50.625 (54.455) Prec@5 81.250 (83.492) Epoch: [68][10680/11272] Time 0.689 (0.787) Data 0.001 (0.002) Loss 1.9389 (1.7046) Prec@1 53.125 (54.456) Prec@5 81.875 (83.492) Epoch: [68][10690/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.7554 (1.7046) Prec@1 57.500 (54.457) Prec@5 79.375 (83.491) Epoch: [68][10700/11272] Time 0.812 (0.787) Data 0.001 (0.002) Loss 1.6448 (1.7047) Prec@1 56.875 (54.458) Prec@5 84.375 (83.490) Epoch: [68][10710/11272] Time 0.814 (0.787) Data 0.001 (0.002) Loss 1.6786 (1.7047) Prec@1 54.375 (54.459) Prec@5 83.750 (83.489) Epoch: [68][10720/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.7643 (1.7047) Prec@1 50.625 (54.457) Prec@5 81.875 (83.487) Epoch: [68][10730/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.6197 (1.7047) Prec@1 55.000 (54.458) Prec@5 82.500 (83.487) Epoch: [68][10740/11272] Time 0.785 (0.787) Data 0.001 (0.002) Loss 1.7531 (1.7047) Prec@1 56.250 (54.458) Prec@5 81.875 (83.488) Epoch: [68][10750/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.4885 (1.7046) Prec@1 60.000 (54.459) Prec@5 86.250 (83.490) Epoch: [68][10760/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.8014 (1.7046) Prec@1 51.875 (54.458) Prec@5 81.875 (83.490) Epoch: [68][10770/11272] Time 0.862 (0.787) Data 0.001 (0.002) Loss 1.7247 (1.7046) Prec@1 54.375 (54.457) Prec@5 81.250 (83.489) Epoch: [68][10780/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.8659 (1.7046) Prec@1 50.625 (54.458) Prec@5 77.500 (83.490) Epoch: [68][10790/11272] Time 0.713 (0.786) Data 0.002 (0.002) Loss 1.9127 (1.7046) Prec@1 50.625 (54.457) Prec@5 77.500 (83.491) Epoch: [68][10800/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.7735 (1.7046) Prec@1 53.750 (54.458) Prec@5 79.375 (83.491) Epoch: [68][10810/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.8074 (1.7046) Prec@1 53.750 (54.458) Prec@5 82.500 (83.490) Epoch: [68][10820/11272] Time 0.791 (0.786) Data 0.001 (0.002) Loss 1.6952 (1.7046) Prec@1 53.750 (54.458) Prec@5 87.500 (83.492) Epoch: [68][10830/11272] Time 0.693 (0.786) Data 0.001 (0.002) Loss 1.7073 (1.7046) Prec@1 54.375 (54.459) Prec@5 83.125 (83.491) Epoch: [68][10840/11272] Time 0.707 (0.786) Data 0.002 (0.002) Loss 1.6865 (1.7046) Prec@1 51.875 (54.459) Prec@5 86.875 (83.491) Epoch: [68][10850/11272] Time 0.809 (0.786) Data 0.002 (0.002) Loss 1.6410 (1.7046) Prec@1 56.875 (54.459) Prec@5 84.375 (83.491) Epoch: [68][10860/11272] Time 0.729 (0.786) Data 0.003 (0.002) Loss 1.7473 (1.7046) Prec@1 50.625 (54.458) Prec@5 80.625 (83.489) Epoch: [68][10870/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.6600 (1.7046) Prec@1 53.750 (54.457) Prec@5 86.875 (83.489) Epoch: [68][10880/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 1.7285 (1.7047) Prec@1 53.750 (54.456) Prec@5 83.125 (83.489) Epoch: [68][10890/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.5547 (1.7046) Prec@1 59.375 (54.456) Prec@5 85.000 (83.489) Epoch: [68][10900/11272] Time 0.704 (0.786) Data 0.001 (0.002) Loss 1.7458 (1.7046) Prec@1 56.250 (54.456) Prec@5 81.250 (83.491) Epoch: [68][10910/11272] Time 0.738 (0.786) Data 0.001 (0.002) Loss 1.6719 (1.7046) Prec@1 59.375 (54.458) Prec@5 80.625 (83.491) Epoch: [68][10920/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 2.0403 (1.7047) Prec@1 46.875 (54.457) Prec@5 79.375 (83.489) Epoch: [68][10930/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.9419 (1.7046) Prec@1 48.125 (54.458) Prec@5 78.750 (83.489) Epoch: [68][10940/11272] Time 0.715 (0.786) Data 0.002 (0.002) Loss 1.7255 (1.7047) Prec@1 58.125 (54.458) Prec@5 80.625 (83.489) Epoch: [68][10950/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.6696 (1.7046) Prec@1 51.875 (54.458) Prec@5 84.375 (83.490) Epoch: [68][10960/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.9200 (1.7047) Prec@1 48.750 (54.457) Prec@5 80.000 (83.489) Epoch: [68][10970/11272] Time 0.817 (0.786) Data 0.002 (0.002) Loss 1.7717 (1.7047) Prec@1 57.500 (54.456) Prec@5 83.125 (83.488) Epoch: [68][10980/11272] Time 0.716 (0.786) Data 0.002 (0.002) Loss 1.4814 (1.7047) Prec@1 58.125 (54.456) Prec@5 88.125 (83.489) Epoch: [68][10990/11272] Time 0.809 (0.786) Data 0.001 (0.002) Loss 1.8523 (1.7047) Prec@1 52.500 (54.456) Prec@5 81.250 (83.489) Epoch: [68][11000/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.5613 (1.7048) Prec@1 61.250 (54.456) Prec@5 86.250 (83.488) Epoch: [68][11010/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.6649 (1.7047) Prec@1 53.125 (54.456) Prec@5 85.000 (83.489) Epoch: [68][11020/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.7588 (1.7048) Prec@1 56.250 (54.455) Prec@5 80.625 (83.487) Epoch: [68][11030/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.4691 (1.7048) Prec@1 56.250 (54.454) Prec@5 90.000 (83.486) Epoch: [68][11040/11272] Time 0.810 (0.786) Data 0.002 (0.002) Loss 1.6430 (1.7049) Prec@1 54.375 (54.454) Prec@5 86.250 (83.485) Epoch: [68][11050/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.8362 (1.7049) Prec@1 51.250 (54.452) Prec@5 80.000 (83.485) Epoch: [68][11060/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.8553 (1.7048) Prec@1 51.875 (54.453) Prec@5 81.875 (83.485) Epoch: [68][11070/11272] Time 0.857 (0.786) Data 0.001 (0.002) Loss 1.5874 (1.7048) Prec@1 60.000 (54.453) Prec@5 83.125 (83.485) Epoch: [68][11080/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 1.5593 (1.7048) Prec@1 53.750 (54.454) Prec@5 83.125 (83.485) Epoch: [68][11090/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.6455 (1.7048) Prec@1 53.750 (54.455) Prec@5 85.000 (83.485) Epoch: [68][11100/11272] Time 0.716 (0.786) Data 0.002 (0.002) Loss 1.6455 (1.7048) Prec@1 60.000 (54.456) Prec@5 85.625 (83.484) Epoch: [68][11110/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.5403 (1.7048) Prec@1 60.625 (54.455) Prec@5 86.250 (83.484) Epoch: [68][11120/11272] Time 0.728 (0.786) Data 0.003 (0.002) Loss 1.4799 (1.7048) Prec@1 60.625 (54.456) Prec@5 85.625 (83.485) Epoch: [68][11130/11272] Time 0.762 (0.786) Data 0.001 (0.002) Loss 1.6793 (1.7048) Prec@1 57.500 (54.456) Prec@5 85.000 (83.485) Epoch: [68][11140/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 1.8030 (1.7047) Prec@1 51.250 (54.457) Prec@5 80.000 (83.486) Epoch: [68][11150/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.7806 (1.7047) Prec@1 55.000 (54.457) Prec@5 78.750 (83.485) Epoch: [68][11160/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.7105 (1.7048) Prec@1 54.375 (54.456) Prec@5 84.375 (83.484) Epoch: [68][11170/11272] Time 0.769 (0.786) Data 0.002 (0.002) Loss 1.5844 (1.7048) Prec@1 55.625 (54.456) Prec@5 82.500 (83.483) Epoch: [68][11180/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.5507 (1.7048) Prec@1 61.250 (54.457) Prec@5 85.625 (83.484) Epoch: [68][11190/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.7368 (1.7048) Prec@1 53.750 (54.457) Prec@5 81.250 (83.484) Epoch: [68][11200/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.9233 (1.7049) Prec@1 45.000 (54.454) Prec@5 80.000 (83.483) Epoch: [68][11210/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.9133 (1.7049) Prec@1 51.875 (54.453) Prec@5 78.750 (83.482) Epoch: [68][11220/11272] Time 0.796 (0.786) Data 0.002 (0.002) Loss 1.5099 (1.7049) Prec@1 61.250 (54.454) Prec@5 85.625 (83.482) Epoch: [68][11230/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.7300 (1.7049) Prec@1 55.625 (54.454) Prec@5 80.625 (83.481) Epoch: [68][11240/11272] Time 0.704 (0.786) Data 0.001 (0.002) Loss 1.7931 (1.7048) Prec@1 53.125 (54.455) Prec@5 79.375 (83.482) Epoch: [68][11250/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.6590 (1.7048) Prec@1 58.125 (54.454) Prec@5 84.375 (83.482) Epoch: [68][11260/11272] Time 0.799 (0.786) Data 0.001 (0.002) Loss 1.6054 (1.7048) Prec@1 57.500 (54.454) Prec@5 84.375 (83.483) Epoch: [68][11270/11272] Time 0.698 (0.786) Data 0.000 (0.002) Loss 1.6706 (1.7048) Prec@1 53.125 (54.453) Prec@5 81.250 (83.484) Test: [0/229] Time 2.773 (2.773) Loss 1.0702 (1.0702) Prec@1 65.000 (65.000) Prec@5 95.625 (95.625) Test: [10/229] Time 0.381 (0.674) Loss 1.1539 (1.5388) Prec@1 65.000 (58.466) Prec@5 96.250 (88.182) Test: [20/229] Time 0.893 (0.595) Loss 2.0214 (1.6386) Prec@1 47.500 (55.179) Prec@5 81.875 (87.024) Test: [30/229] Time 0.388 (0.556) Loss 1.8500 (1.5815) Prec@1 48.125 (57.359) Prec@5 86.250 (87.298) Test: [40/229] Time 0.875 (0.543) Loss 0.3364 (1.5726) Prec@1 93.750 (57.591) Prec@5 96.250 (87.119) Test: [50/229] Time 0.400 (0.528) Loss 2.1685 (1.6255) Prec@1 37.500 (56.275) Prec@5 82.500 (85.980) Test: [60/229] Time 0.972 (0.527) Loss 1.9418 (1.6132) Prec@1 44.375 (56.445) Prec@5 86.250 (86.158) Test: [70/229] Time 0.298 (0.517) Loss 1.3330 (1.6237) Prec@1 71.250 (56.303) Prec@5 85.000 (86.004) Test: [80/229] Time 0.847 (0.518) Loss 2.1561 (1.6479) Prec@1 36.875 (55.316) Prec@5 83.750 (85.864) Test: [90/229] Time 0.343 (0.513) Loss 1.1445 (1.6571) Prec@1 74.375 (55.124) Prec@5 87.500 (85.872) Test: [100/229] Time 0.970 (0.512) Loss 2.1260 (1.6487) Prec@1 45.000 (55.415) Prec@5 82.500 (85.947) Test: [110/229] Time 0.356 (0.506) Loss 1.3202 (1.6310) Prec@1 65.625 (55.794) Prec@5 86.875 (86.070) Test: [120/229] Time 0.870 (0.506) Loss 2.6914 (1.6503) Prec@1 34.375 (55.217) Prec@5 76.250 (85.847) Test: [130/229] Time 0.437 (0.504) Loss 1.1678 (1.6321) Prec@1 63.750 (55.639) Prec@5 93.750 (86.026) Test: [140/229] Time 0.592 (0.502) Loss 1.8314 (1.6426) Prec@1 52.500 (55.372) Prec@5 85.000 (85.980) Test: [150/229] Time 0.348 (0.501) Loss 1.0821 (1.6546) Prec@1 75.000 (55.054) Prec@5 89.375 (85.869) Test: [160/229] Time 0.522 (0.501) Loss 1.6653 (1.6573) Prec@1 60.000 (54.938) Prec@5 86.250 (85.807) Test: [170/229] Time 0.347 (0.500) Loss 1.7308 (1.6699) Prec@1 53.125 (54.459) Prec@5 86.875 (85.669) Test: [180/229] Time 0.432 (0.499) Loss 2.4442 (1.6755) Prec@1 35.625 (54.468) Prec@5 68.125 (85.480) Test: [190/229] Time 0.338 (0.499) Loss 1.3675 (1.6627) Prec@1 59.375 (54.800) Prec@5 91.875 (85.612) Test: [200/229] Time 0.454 (0.498) Loss 1.7294 (1.6542) Prec@1 48.125 (54.879) Prec@5 83.125 (85.771) Test: [210/229] Time 0.338 (0.499) Loss 1.0386 (1.6439) Prec@1 69.375 (55.178) Prec@5 95.625 (85.927) Test: [220/229] Time 0.455 (0.498) Loss 1.3423 (1.6344) Prec@1 66.250 (55.540) Prec@5 89.375 (85.976) * Prec@1 55.817 Prec@5 86.031 Epoch: [69][0/11272] Time 4.187 (4.187) Data 3.299 (3.299) Loss 1.8608 (1.8608) Prec@1 51.875 (51.875) Prec@5 83.125 (83.125) Epoch: [69][10/11272] Time 0.703 (1.064) Data 0.001 (0.301) Loss 1.6935 (1.7186) Prec@1 51.875 (53.636) Prec@5 83.750 (83.239) Epoch: [69][20/11272] Time 0.710 (0.923) Data 0.001 (0.158) Loss 1.7863 (1.7207) Prec@1 56.875 (54.256) Prec@5 81.875 (82.798) Epoch: [69][30/11272] Time 0.789 (0.873) Data 0.001 (0.108) Loss 1.7114 (1.7163) Prec@1 51.250 (53.931) Prec@5 82.500 (82.843) Epoch: [69][40/11272] Time 0.818 (0.845) Data 0.002 (0.082) Loss 1.6209 (1.7185) Prec@1 55.625 (54.131) Prec@5 83.125 (82.820) Epoch: [69][50/11272] Time 0.709 (0.831) Data 0.001 (0.066) Loss 1.6772 (1.6984) Prec@1 54.375 (54.779) Prec@5 81.250 (83.174) Epoch: [69][60/11272] Time 0.782 (0.822) Data 0.001 (0.055) Loss 1.7392 (1.6944) Prec@1 53.750 (54.959) Prec@5 86.875 (83.443) Epoch: [69][70/11272] Time 0.814 (0.814) Data 0.001 (0.048) Loss 1.9080 (1.7062) Prec@1 49.375 (54.710) Prec@5 80.625 (83.213) Epoch: [69][80/11272] Time 0.698 (0.807) Data 0.002 (0.042) Loss 1.8452 (1.6982) Prec@1 50.625 (54.769) Prec@5 81.250 (83.395) Epoch: [69][90/11272] Time 0.720 (0.801) Data 0.001 (0.038) Loss 1.4957 (1.6961) Prec@1 57.500 (54.684) Prec@5 89.375 (83.468) Epoch: [69][100/11272] Time 0.862 (0.798) Data 0.002 (0.034) Loss 1.6546 (1.6944) Prec@1 55.000 (54.561) Prec@5 83.125 (83.447) Epoch: [69][110/11272] Time 0.841 (0.796) Data 0.001 (0.031) Loss 1.7553 (1.7000) Prec@1 51.875 (54.527) Prec@5 84.375 (83.277) Epoch: [69][120/11272] Time 0.708 (0.793) Data 0.001 (0.029) Loss 1.7691 (1.6959) Prec@1 50.625 (54.602) Prec@5 85.625 (83.373) Epoch: [69][130/11272] Time 0.701 (0.791) Data 0.001 (0.027) Loss 1.6454 (1.6934) Prec@1 56.875 (54.766) Prec@5 83.750 (83.430) Epoch: [69][140/11272] Time 0.788 (0.790) Data 0.001 (0.025) Loss 1.7847 (1.6912) Prec@1 56.875 (54.796) Prec@5 80.625 (83.520) Epoch: [69][150/11272] Time 0.833 (0.789) Data 0.001 (0.023) Loss 1.7047 (1.6908) Prec@1 55.000 (54.756) Prec@5 81.250 (83.502) Epoch: [69][160/11272] Time 0.723 (0.788) Data 0.001 (0.022) Loss 1.8116 (1.6921) Prec@1 50.625 (54.655) Prec@5 82.500 (83.536) Epoch: [69][170/11272] Time 0.719 (0.787) Data 0.001 (0.021) Loss 1.4879 (1.6923) Prec@1 59.375 (54.748) Prec@5 90.000 (83.600) Epoch: [69][180/11272] Time 0.809 (0.787) Data 0.001 (0.020) Loss 1.6294 (1.6903) Prec@1 56.875 (54.762) Prec@5 83.750 (83.626) Epoch: [69][190/11272] Time 0.729 (0.786) Data 0.001 (0.019) Loss 1.6135 (1.6899) Prec@1 56.250 (54.738) Prec@5 84.375 (83.658) Epoch: [69][200/11272] Time 0.726 (0.785) Data 0.002 (0.018) Loss 1.5976 (1.6893) Prec@1 56.250 (54.789) Prec@5 86.250 (83.626) Epoch: [69][210/11272] Time 0.797 (0.784) Data 0.001 (0.017) Loss 1.6956 (1.6891) Prec@1 53.750 (54.831) Prec@5 83.125 (83.593) Epoch: [69][220/11272] Time 0.823 (0.783) Data 0.002 (0.016) Loss 1.7880 (1.6894) Prec@1 53.125 (54.813) Prec@5 80.625 (83.592) Epoch: [69][230/11272] Time 0.748 (0.783) Data 0.001 (0.016) Loss 1.7843 (1.6917) Prec@1 49.375 (54.740) Prec@5 80.000 (83.542) Epoch: [69][240/11272] Time 0.711 (0.782) Data 0.001 (0.015) Loss 1.6374 (1.6939) Prec@1 54.375 (54.673) Prec@5 83.750 (83.522) Epoch: [69][250/11272] Time 0.889 (0.782) Data 0.001 (0.015) Loss 1.6489 (1.6941) Prec@1 53.750 (54.649) Prec@5 84.375 (83.526) Epoch: [69][260/11272] Time 0.860 (0.782) Data 0.002 (0.014) Loss 1.5774 (1.6948) Prec@1 55.625 (54.650) Prec@5 87.500 (83.465) Epoch: [69][270/11272] Time 0.712 (0.781) Data 0.001 (0.014) Loss 1.7873 (1.6933) Prec@1 52.500 (54.696) Prec@5 81.250 (83.492) Epoch: [69][280/11272] Time 0.722 (0.781) Data 0.001 (0.013) Loss 1.6804 (1.6956) Prec@1 53.125 (54.602) Prec@5 83.125 (83.492) Epoch: [69][290/11272] Time 0.851 (0.780) Data 0.002 (0.013) Loss 1.6494 (1.6950) Prec@1 53.750 (54.583) Prec@5 85.000 (83.529) Epoch: [69][300/11272] Time 0.824 (0.780) Data 0.001 (0.012) Loss 1.6766 (1.6936) Prec@1 50.625 (54.568) Prec@5 83.750 (83.555) Epoch: [69][310/11272] Time 0.726 (0.779) Data 0.001 (0.012) Loss 1.8164 (1.6916) Prec@1 51.250 (54.584) Prec@5 78.750 (83.589) Epoch: [69][320/11272] Time 0.887 (0.780) Data 0.001 (0.012) Loss 1.6742 (1.6933) Prec@1 55.625 (54.505) Prec@5 82.500 (83.557) Epoch: [69][330/11272] Time 0.839 (0.780) Data 0.002 (0.011) Loss 1.8739 (1.6919) Prec@1 48.750 (54.524) Prec@5 83.125 (83.614) Epoch: [69][340/11272] Time 0.709 (0.779) Data 0.001 (0.011) Loss 1.6686 (1.6919) Prec@1 53.750 (54.520) Prec@5 83.750 (83.618) Epoch: [69][350/11272] Time 0.703 (0.779) Data 0.001 (0.011) Loss 1.4491 (1.6917) Prec@1 62.500 (54.519) Prec@5 85.625 (83.624) Epoch: [69][360/11272] Time 0.813 (0.779) Data 0.001 (0.011) Loss 1.7772 (1.6905) Prec@1 53.750 (54.548) Prec@5 83.750 (83.670) Epoch: [69][370/11272] Time 0.855 (0.779) Data 0.001 (0.010) Loss 1.6475 (1.6900) Prec@1 58.125 (54.565) Prec@5 83.125 (83.662) Epoch: [69][380/11272] Time 0.710 (0.778) Data 0.001 (0.010) Loss 1.7990 (1.6914) Prec@1 51.250 (54.560) Prec@5 83.125 (83.661) Epoch: [69][390/11272] Time 0.755 (0.779) Data 0.002 (0.010) Loss 1.7499 (1.6943) Prec@1 56.250 (54.493) Prec@5 83.125 (83.619) Epoch: [69][400/11272] Time 0.817 (0.779) Data 0.002 (0.010) Loss 1.8145 (1.6939) Prec@1 50.625 (54.522) Prec@5 81.875 (83.621) Epoch: [69][410/11272] Time 0.871 (0.779) Data 0.001 (0.009) Loss 1.4288 (1.6949) Prec@1 60.000 (54.495) Prec@5 85.000 (83.596) Epoch: [69][420/11272] Time 0.714 (0.778) Data 0.001 (0.009) Loss 1.5132 (1.6933) Prec@1 55.625 (54.515) Prec@5 88.750 (83.649) Epoch: [69][430/11272] Time 0.696 (0.778) Data 0.001 (0.009) Loss 1.4705 (1.6932) Prec@1 56.875 (54.510) Prec@5 89.375 (83.659) Epoch: [69][440/11272] Time 0.846 (0.778) Data 0.002 (0.009) Loss 1.6554 (1.6943) Prec@1 57.500 (54.531) Prec@5 84.375 (83.637) Epoch: [69][450/11272] Time 0.746 (0.778) Data 0.004 (0.009) Loss 1.8162 (1.6946) Prec@1 48.750 (54.521) Prec@5 85.000 (83.635) Epoch: [69][460/11272] Time 0.718 (0.778) Data 0.001 (0.009) Loss 1.6669 (1.6936) Prec@1 57.500 (54.536) Prec@5 85.000 (83.636) Epoch: [69][470/11272] Time 0.816 (0.778) Data 0.001 (0.008) Loss 1.5219 (1.6913) Prec@1 60.000 (54.570) Prec@5 86.250 (83.682) Epoch: [69][480/11272] Time 0.825 (0.778) Data 0.001 (0.008) Loss 1.6347 (1.6899) Prec@1 55.625 (54.597) Prec@5 81.875 (83.690) Epoch: [69][490/11272] Time 0.680 (0.777) Data 0.001 (0.008) Loss 1.7694 (1.6898) Prec@1 55.000 (54.636) Prec@5 83.125 (83.693) Epoch: [69][500/11272] Time 0.707 (0.777) Data 0.002 (0.008) Loss 1.6811 (1.6886) Prec@1 53.125 (54.658) Prec@5 83.125 (83.704) Epoch: [69][510/11272] Time 0.818 (0.777) Data 0.001 (0.008) Loss 1.8164 (1.6885) Prec@1 55.000 (54.671) Prec@5 80.625 (83.685) Epoch: [69][520/11272] Time 0.801 (0.777) Data 0.001 (0.008) Loss 1.4614 (1.6873) Prec@1 59.375 (54.725) Prec@5 86.250 (83.701) Epoch: [69][530/11272] Time 0.744 (0.777) Data 0.001 (0.008) Loss 1.7294 (1.6865) Prec@1 53.125 (54.766) Prec@5 85.000 (83.736) Epoch: [69][540/11272] Time 0.722 (0.777) Data 0.001 (0.007) Loss 1.9976 (1.6865) Prec@1 55.000 (54.772) Prec@5 75.625 (83.749) Epoch: [69][550/11272] Time 0.854 (0.777) Data 0.001 (0.007) Loss 1.5490 (1.6865) Prec@1 54.375 (54.782) Prec@5 87.500 (83.762) Epoch: [69][560/11272] Time 0.812 (0.777) Data 0.001 (0.007) Loss 2.0536 (1.6872) Prec@1 44.375 (54.755) Prec@5 78.125 (83.758) Epoch: [69][570/11272] Time 0.705 (0.776) Data 0.001 (0.007) Loss 1.5601 (1.6875) Prec@1 56.250 (54.732) Prec@5 85.625 (83.765) Epoch: [69][580/11272] Time 0.834 (0.776) Data 0.001 (0.007) Loss 1.7892 (1.6869) Prec@1 53.750 (54.763) Prec@5 81.250 (83.766) Epoch: [69][590/11272] Time 0.819 (0.776) Data 0.001 (0.007) Loss 1.7709 (1.6870) Prec@1 57.500 (54.755) Prec@5 83.750 (83.781) Epoch: [69][600/11272] Time 0.714 (0.776) Data 0.001 (0.007) Loss 1.7428 (1.6862) Prec@1 48.750 (54.763) Prec@5 85.000 (83.793) Epoch: [69][610/11272] Time 0.736 (0.776) Data 0.001 (0.007) Loss 1.8665 (1.6868) Prec@1 55.625 (54.769) Prec@5 80.625 (83.777) Epoch: [69][620/11272] Time 0.823 (0.777) Data 0.001 (0.007) Loss 1.5487 (1.6864) Prec@1 58.750 (54.782) Prec@5 89.375 (83.795) Epoch: [69][630/11272] Time 0.811 (0.777) Data 0.001 (0.007) Loss 1.8068 (1.6873) Prec@1 52.500 (54.784) Prec@5 85.000 (83.768) Epoch: [69][640/11272] Time 0.731 (0.776) Data 0.002 (0.007) Loss 1.4960 (1.6863) Prec@1 61.250 (54.789) Prec@5 85.625 (83.801) Epoch: [69][650/11272] Time 0.727 (0.776) Data 0.001 (0.006) Loss 1.6597 (1.6854) Prec@1 56.250 (54.796) Prec@5 82.500 (83.815) Epoch: [69][660/11272] Time 0.817 (0.776) Data 0.001 (0.006) Loss 1.8173 (1.6844) Prec@1 53.750 (54.828) Prec@5 78.125 (83.840) Epoch: [69][670/11272] Time 0.806 (0.776) Data 0.001 (0.006) Loss 1.5937 (1.6847) Prec@1 54.375 (54.834) Prec@5 87.500 (83.841) Epoch: [69][680/11272] Time 0.718 (0.777) Data 0.001 (0.006) Loss 1.6943 (1.6853) Prec@1 56.250 (54.811) Prec@5 83.750 (83.836) Epoch: [69][690/11272] Time 0.708 (0.776) Data 0.001 (0.006) Loss 1.6421 (1.6859) Prec@1 56.875 (54.806) Prec@5 85.000 (83.832) Epoch: [69][700/11272] Time 0.838 (0.776) Data 0.001 (0.006) Loss 1.5822 (1.6851) Prec@1 57.500 (54.817) Prec@5 85.000 (83.845) Epoch: [69][710/11272] Time 0.809 (0.776) Data 0.001 (0.006) Loss 1.6728 (1.6858) Prec@1 57.500 (54.814) Prec@5 82.500 (83.824) Epoch: [69][720/11272] Time 0.707 (0.776) Data 0.001 (0.006) Loss 1.6396 (1.6863) Prec@1 56.250 (54.814) Prec@5 85.000 (83.823) Epoch: [69][730/11272] Time 0.841 (0.776) Data 0.001 (0.006) Loss 1.3561 (1.6854) Prec@1 57.500 (54.821) Prec@5 90.625 (83.828) Epoch: [69][740/11272] Time 0.811 (0.776) Data 0.001 (0.006) Loss 1.6966 (1.6861) Prec@1 55.000 (54.806) Prec@5 79.375 (83.808) Epoch: [69][750/11272] Time 0.708 (0.776) Data 0.001 (0.006) Loss 1.5858 (1.6852) Prec@1 55.000 (54.824) Prec@5 85.000 (83.824) Epoch: [69][760/11272] Time 0.720 (0.776) Data 0.001 (0.006) Loss 1.4985 (1.6860) Prec@1 59.375 (54.805) Prec@5 85.000 (83.812) Epoch: [69][770/11272] Time 0.805 (0.776) Data 0.001 (0.006) Loss 1.7734 (1.6856) Prec@1 53.750 (54.827) Prec@5 83.750 (83.819) Epoch: [69][780/11272] Time 0.822 (0.776) Data 0.002 (0.006) Loss 1.8098 (1.6854) Prec@1 51.875 (54.827) Prec@5 78.125 (83.820) Epoch: [69][790/11272] Time 0.746 (0.776) Data 0.002 (0.006) Loss 1.5824 (1.6855) Prec@1 58.125 (54.819) Prec@5 88.125 (83.806) Epoch: [69][800/11272] Time 0.749 (0.776) Data 0.002 (0.006) Loss 1.5097 (1.6847) Prec@1 58.125 (54.845) Prec@5 85.000 (83.818) Epoch: [69][810/11272] Time 0.838 (0.776) Data 0.002 (0.005) Loss 1.6950 (1.6851) Prec@1 52.500 (54.812) Prec@5 84.375 (83.821) Epoch: [69][820/11272] Time 0.834 (0.776) Data 0.001 (0.005) Loss 1.6619 (1.6855) Prec@1 54.375 (54.804) Prec@5 86.250 (83.825) Epoch: [69][830/11272] Time 0.744 (0.776) Data 0.001 (0.005) Loss 1.6229 (1.6860) Prec@1 56.250 (54.797) Prec@5 85.625 (83.830) Epoch: [69][840/11272] Time 0.751 (0.776) Data 0.001 (0.005) Loss 1.8740 (1.6856) Prec@1 53.125 (54.816) Prec@5 78.125 (83.829) Epoch: [69][850/11272] Time 0.853 (0.776) Data 0.002 (0.005) Loss 1.8795 (1.6859) Prec@1 49.375 (54.788) Prec@5 83.125 (83.818) Epoch: [69][860/11272] Time 0.712 (0.776) Data 0.001 (0.005) Loss 1.6611 (1.6860) Prec@1 58.125 (54.795) Prec@5 85.625 (83.825) Epoch: [69][870/11272] Time 0.740 (0.776) Data 0.001 (0.005) Loss 1.7862 (1.6868) Prec@1 55.625 (54.778) Prec@5 80.625 (83.802) Epoch: [69][880/11272] Time 0.880 (0.776) Data 0.001 (0.005) Loss 1.5247 (1.6867) Prec@1 56.250 (54.765) Prec@5 85.625 (83.815) Epoch: [69][890/11272] Time 0.816 (0.776) Data 0.001 (0.005) Loss 1.4099 (1.6866) Prec@1 60.625 (54.750) Prec@5 90.000 (83.811) Epoch: [69][900/11272] Time 0.722 (0.776) Data 0.001 (0.005) Loss 1.6705 (1.6873) Prec@1 60.000 (54.754) Prec@5 84.375 (83.803) Epoch: [69][910/11272] Time 0.714 (0.776) Data 0.001 (0.005) Loss 1.8531 (1.6870) Prec@1 48.750 (54.769) Prec@5 80.000 (83.811) Epoch: [69][920/11272] Time 0.880 (0.776) Data 0.002 (0.005) Loss 1.8762 (1.6872) Prec@1 51.875 (54.756) Prec@5 81.875 (83.809) Epoch: [69][930/11272] Time 0.848 (0.776) Data 0.002 (0.005) Loss 1.8869 (1.6870) Prec@1 50.625 (54.760) Prec@5 80.625 (83.815) Epoch: [69][940/11272] Time 0.731 (0.776) Data 0.002 (0.005) Loss 1.5044 (1.6867) Prec@1 61.875 (54.772) Prec@5 86.875 (83.821) Epoch: [69][950/11272] Time 0.716 (0.776) Data 0.001 (0.005) Loss 1.8579 (1.6870) Prec@1 53.125 (54.770) Prec@5 81.875 (83.819) Epoch: [69][960/11272] Time 0.845 (0.776) Data 0.002 (0.005) Loss 1.6834 (1.6870) Prec@1 55.000 (54.786) Prec@5 82.500 (83.810) Epoch: [69][970/11272] Time 0.814 (0.776) Data 0.001 (0.005) Loss 1.6843 (1.6866) Prec@1 57.500 (54.796) Prec@5 83.750 (83.817) Epoch: [69][980/11272] Time 0.691 (0.776) Data 0.001 (0.005) Loss 1.5711 (1.6867) Prec@1 60.000 (54.794) Prec@5 84.375 (83.808) Epoch: [69][990/11272] Time 0.806 (0.776) Data 0.001 (0.005) Loss 1.6045 (1.6863) Prec@1 59.375 (54.812) Prec@5 83.750 (83.810) Epoch: [69][1000/11272] Time 0.846 (0.776) Data 0.001 (0.005) Loss 1.5908 (1.6860) Prec@1 60.625 (54.825) Prec@5 88.125 (83.821) Epoch: [69][1010/11272] Time 0.724 (0.776) Data 0.001 (0.005) Loss 1.6855 (1.6857) Prec@1 54.375 (54.834) Prec@5 81.875 (83.828) Epoch: [69][1020/11272] Time 0.706 (0.776) Data 0.001 (0.005) Loss 1.7895 (1.6859) Prec@1 57.500 (54.818) Prec@5 82.500 (83.826) Epoch: [69][1030/11272] Time 0.819 (0.776) Data 0.001 (0.005) Loss 1.8261 (1.6860) Prec@1 51.875 (54.811) Prec@5 80.000 (83.821) Epoch: [69][1040/11272] Time 0.818 (0.776) Data 0.001 (0.005) Loss 1.6127 (1.6863) Prec@1 55.000 (54.804) Prec@5 83.125 (83.819) Epoch: [69][1050/11272] Time 0.733 (0.776) Data 0.001 (0.005) Loss 1.7086 (1.6857) Prec@1 57.500 (54.817) Prec@5 81.875 (83.824) Epoch: [69][1060/11272] Time 0.709 (0.776) Data 0.002 (0.005) Loss 1.7732 (1.6862) Prec@1 52.500 (54.797) Prec@5 80.000 (83.818) Epoch: [69][1070/11272] Time 0.827 (0.776) Data 0.001 (0.004) Loss 1.6183 (1.6861) Prec@1 55.000 (54.803) Prec@5 84.375 (83.820) Epoch: [69][1080/11272] Time 0.838 (0.776) Data 0.002 (0.004) Loss 2.0832 (1.6864) Prec@1 46.875 (54.796) Prec@5 76.875 (83.823) Epoch: [69][1090/11272] Time 0.688 (0.776) Data 0.001 (0.004) Loss 1.5490 (1.6865) Prec@1 58.750 (54.790) Prec@5 83.750 (83.826) Epoch: [69][1100/11272] Time 0.713 (0.776) Data 0.001 (0.004) Loss 1.6890 (1.6859) Prec@1 53.125 (54.810) Prec@5 83.125 (83.837) Epoch: [69][1110/11272] Time 0.824 (0.776) Data 0.001 (0.004) Loss 1.8774 (1.6856) Prec@1 45.625 (54.818) Prec@5 81.250 (83.836) Epoch: [69][1120/11272] Time 0.749 (0.775) Data 0.003 (0.004) Loss 1.7455 (1.6854) Prec@1 50.625 (54.811) Prec@5 81.250 (83.833) Epoch: [69][1130/11272] Time 0.704 (0.775) Data 0.001 (0.004) Loss 1.6029 (1.6854) Prec@1 54.375 (54.802) Prec@5 83.125 (83.831) Epoch: [69][1140/11272] Time 0.842 (0.776) Data 0.001 (0.004) Loss 1.3993 (1.6853) Prec@1 61.875 (54.803) Prec@5 87.500 (83.825) Epoch: [69][1150/11272] Time 0.830 (0.776) Data 0.001 (0.004) Loss 1.5783 (1.6862) Prec@1 55.625 (54.784) Prec@5 86.250 (83.816) Epoch: [69][1160/11272] Time 0.742 (0.775) Data 0.001 (0.004) Loss 1.6961 (1.6859) Prec@1 58.125 (54.802) Prec@5 80.625 (83.823) Epoch: [69][1170/11272] Time 0.718 (0.775) Data 0.001 (0.004) Loss 1.8660 (1.6864) Prec@1 52.500 (54.796) Prec@5 79.375 (83.804) Epoch: [69][1180/11272] Time 0.808 (0.775) Data 0.001 (0.004) Loss 1.6855 (1.6862) Prec@1 57.500 (54.801) Prec@5 85.000 (83.811) Epoch: [69][1190/11272] Time 0.811 (0.775) Data 0.001 (0.004) Loss 1.6712 (1.6865) Prec@1 54.375 (54.791) Prec@5 85.625 (83.816) Epoch: [69][1200/11272] Time 0.720 (0.775) Data 0.001 (0.004) Loss 1.6154 (1.6862) Prec@1 60.625 (54.795) Prec@5 86.875 (83.829) Epoch: [69][1210/11272] Time 0.720 (0.775) Data 0.001 (0.004) Loss 1.5776 (1.6859) Prec@1 55.000 (54.803) Prec@5 84.375 (83.836) Epoch: [69][1220/11272] Time 0.822 (0.775) Data 0.001 (0.004) Loss 1.8041 (1.6862) Prec@1 53.750 (54.798) Prec@5 79.375 (83.819) Epoch: [69][1230/11272] Time 0.826 (0.775) Data 0.002 (0.004) Loss 1.5384 (1.6857) Prec@1 53.750 (54.807) Prec@5 88.125 (83.821) Epoch: [69][1240/11272] Time 0.711 (0.775) Data 0.001 (0.004) Loss 1.7275 (1.6859) Prec@1 53.750 (54.794) Prec@5 81.250 (83.821) Epoch: [69][1250/11272] Time 0.828 (0.775) Data 0.002 (0.004) Loss 1.7974 (1.6858) Prec@1 48.125 (54.781) Prec@5 83.750 (83.825) Epoch: [69][1260/11272] Time 0.813 (0.775) Data 0.001 (0.004) Loss 1.8606 (1.6864) Prec@1 49.375 (54.769) Prec@5 77.500 (83.807) Epoch: [69][1270/11272] Time 0.704 (0.775) Data 0.001 (0.004) Loss 1.7999 (1.6860) Prec@1 50.625 (54.772) Prec@5 83.125 (83.814) Epoch: [69][1280/11272] Time 0.767 (0.775) Data 0.001 (0.004) Loss 1.7030 (1.6859) Prec@1 51.875 (54.775) Prec@5 83.125 (83.814) Epoch: [69][1290/11272] Time 0.840 (0.775) Data 0.001 (0.004) Loss 1.7882 (1.6855) Prec@1 51.250 (54.778) Prec@5 81.875 (83.824) Epoch: [69][1300/11272] Time 0.865 (0.775) Data 0.002 (0.004) Loss 1.6488 (1.6852) Prec@1 55.000 (54.786) Prec@5 82.500 (83.827) Epoch: [69][1310/11272] Time 0.712 (0.775) Data 0.001 (0.004) Loss 1.5498 (1.6853) Prec@1 60.000 (54.795) Prec@5 85.625 (83.822) Epoch: [69][1320/11272] Time 0.700 (0.775) Data 0.001 (0.004) Loss 1.7382 (1.6857) Prec@1 48.750 (54.776) Prec@5 80.625 (83.816) Epoch: [69][1330/11272] Time 0.817 (0.775) Data 0.001 (0.004) Loss 1.6191 (1.6852) Prec@1 56.250 (54.800) Prec@5 86.250 (83.819) Epoch: [69][1340/11272] Time 0.821 (0.775) Data 0.001 (0.004) Loss 1.9662 (1.6857) Prec@1 48.750 (54.778) Prec@5 81.875 (83.817) Epoch: [69][1350/11272] Time 0.711 (0.775) Data 0.001 (0.004) Loss 1.7119 (1.6852) Prec@1 53.750 (54.793) Prec@5 83.125 (83.823) Epoch: [69][1360/11272] Time 0.740 (0.775) Data 0.002 (0.004) Loss 1.6304 (1.6856) Prec@1 56.250 (54.786) Prec@5 85.000 (83.815) Epoch: [69][1370/11272] Time 0.838 (0.775) Data 0.001 (0.004) Loss 1.4036 (1.6859) Prec@1 61.875 (54.786) Prec@5 88.750 (83.810) Epoch: [69][1380/11272] Time 0.756 (0.775) Data 0.003 (0.004) Loss 1.6908 (1.6862) Prec@1 58.125 (54.783) Prec@5 80.625 (83.802) Epoch: [69][1390/11272] Time 0.714 (0.775) Data 0.001 (0.004) Loss 1.7735 (1.6863) Prec@1 53.125 (54.785) Prec@5 80.625 (83.798) Epoch: [69][1400/11272] Time 0.894 (0.775) Data 0.001 (0.004) Loss 1.4790 (1.6858) Prec@1 57.500 (54.798) Prec@5 86.875 (83.804) Epoch: [69][1410/11272] Time 0.807 (0.775) Data 0.001 (0.004) Loss 1.6894 (1.6860) Prec@1 55.000 (54.791) Prec@5 84.375 (83.802) Epoch: [69][1420/11272] Time 0.714 (0.775) Data 0.001 (0.004) Loss 1.6764 (1.6858) Prec@1 50.000 (54.795) Prec@5 83.750 (83.803) Epoch: [69][1430/11272] Time 0.700 (0.775) Data 0.001 (0.004) Loss 1.7921 (1.6859) Prec@1 51.250 (54.793) Prec@5 84.375 (83.802) Epoch: [69][1440/11272] Time 0.796 (0.775) Data 0.001 (0.004) Loss 1.9240 (1.6858) Prec@1 50.000 (54.797) Prec@5 78.750 (83.798) Epoch: [69][1450/11272] Time 0.805 (0.775) Data 0.001 (0.004) Loss 1.5900 (1.6856) Prec@1 57.500 (54.795) Prec@5 84.375 (83.804) Epoch: [69][1460/11272] Time 0.716 (0.775) Data 0.001 (0.004) Loss 1.8653 (1.6854) Prec@1 50.625 (54.801) Prec@5 80.000 (83.810) Epoch: [69][1470/11272] Time 0.743 (0.775) Data 0.002 (0.004) Loss 1.9023 (1.6861) Prec@1 54.375 (54.791) Prec@5 78.750 (83.797) Epoch: [69][1480/11272] Time 0.845 (0.775) Data 0.002 (0.004) Loss 1.6301 (1.6861) Prec@1 55.000 (54.791) Prec@5 82.500 (83.788) Epoch: [69][1490/11272] Time 0.790 (0.775) Data 0.001 (0.004) Loss 1.8413 (1.6864) Prec@1 47.500 (54.780) Prec@5 81.875 (83.783) Epoch: [69][1500/11272] Time 0.711 (0.775) Data 0.001 (0.004) Loss 1.5610 (1.6865) Prec@1 59.375 (54.781) Prec@5 90.000 (83.789) Epoch: [69][1510/11272] Time 0.803 (0.775) Data 0.001 (0.004) Loss 1.5846 (1.6861) Prec@1 60.000 (54.802) Prec@5 84.375 (83.790) Epoch: [69][1520/11272] Time 0.828 (0.775) Data 0.001 (0.004) Loss 1.4986 (1.6860) Prec@1 62.500 (54.812) Prec@5 88.125 (83.787) Epoch: [69][1530/11272] Time 0.729 (0.775) Data 0.001 (0.004) Loss 1.4692 (1.6857) Prec@1 56.875 (54.820) Prec@5 88.125 (83.794) Epoch: [69][1540/11272] Time 0.733 (0.775) Data 0.001 (0.004) Loss 1.5072 (1.6858) Prec@1 54.375 (54.824) Prec@5 85.000 (83.789) Epoch: [69][1550/11272] Time 0.834 (0.775) Data 0.001 (0.004) Loss 1.8782 (1.6863) Prec@1 56.875 (54.813) Prec@5 76.875 (83.778) Epoch: [69][1560/11272] Time 0.808 (0.775) Data 0.002 (0.004) Loss 1.5794 (1.6864) Prec@1 54.375 (54.815) Prec@5 85.000 (83.771) Epoch: [69][1570/11272] Time 0.710 (0.775) Data 0.001 (0.003) Loss 1.9538 (1.6869) Prec@1 46.250 (54.800) Prec@5 78.125 (83.762) Epoch: [69][1580/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.5510 (1.6868) Prec@1 62.500 (54.808) Prec@5 85.000 (83.762) Epoch: [69][1590/11272] Time 0.812 (0.775) Data 0.001 (0.003) Loss 1.6678 (1.6868) Prec@1 58.125 (54.807) Prec@5 83.750 (83.763) Epoch: [69][1600/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.7974 (1.6862) Prec@1 52.500 (54.821) Prec@5 83.125 (83.772) Epoch: [69][1610/11272] Time 0.748 (0.775) Data 0.001 (0.003) Loss 1.7852 (1.6866) Prec@1 46.875 (54.821) Prec@5 84.375 (83.763) Epoch: [69][1620/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 2.0326 (1.6869) Prec@1 46.250 (54.809) Prec@5 81.250 (83.762) Epoch: [69][1630/11272] Time 0.818 (0.775) Data 0.002 (0.003) Loss 1.7827 (1.6868) Prec@1 52.500 (54.809) Prec@5 85.000 (83.771) Epoch: [69][1640/11272] Time 0.812 (0.775) Data 0.001 (0.003) Loss 1.5047 (1.6865) Prec@1 55.000 (54.823) Prec@5 88.125 (83.781) Epoch: [69][1650/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.5150 (1.6866) Prec@1 60.000 (54.824) Prec@5 86.875 (83.780) Epoch: [69][1660/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.8554 (1.6864) Prec@1 49.375 (54.837) Prec@5 81.250 (83.784) Epoch: [69][1670/11272] Time 0.887 (0.775) Data 0.001 (0.003) Loss 1.5801 (1.6858) Prec@1 58.750 (54.853) Prec@5 85.000 (83.791) Epoch: [69][1680/11272] Time 0.771 (0.775) Data 0.002 (0.003) Loss 1.8866 (1.6858) Prec@1 52.500 (54.858) Prec@5 77.500 (83.792) Epoch: [69][1690/11272] Time 0.703 (0.775) Data 0.001 (0.003) Loss 1.7874 (1.6860) Prec@1 52.500 (54.846) Prec@5 81.875 (83.791) Epoch: [69][1700/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.4649 (1.6862) Prec@1 60.000 (54.841) Prec@5 92.500 (83.792) Epoch: [69][1710/11272] Time 0.822 (0.775) Data 0.002 (0.003) Loss 1.6657 (1.6864) Prec@1 61.875 (54.845) Prec@5 83.125 (83.787) Epoch: [69][1720/11272] Time 0.730 (0.775) Data 0.001 (0.003) Loss 1.9020 (1.6868) Prec@1 51.875 (54.834) Prec@5 83.750 (83.782) Epoch: [69][1730/11272] Time 0.730 (0.775) Data 0.001 (0.003) Loss 1.6302 (1.6864) Prec@1 56.250 (54.840) Prec@5 83.125 (83.782) Epoch: [69][1740/11272] Time 0.810 (0.775) Data 0.001 (0.003) Loss 1.3578 (1.6862) Prec@1 62.500 (54.847) Prec@5 90.625 (83.786) Epoch: [69][1750/11272] Time 0.832 (0.775) Data 0.001 (0.003) Loss 1.6890 (1.6865) Prec@1 56.875 (54.840) Prec@5 83.125 (83.784) Epoch: [69][1760/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 2.0545 (1.6867) Prec@1 48.125 (54.836) Prec@5 76.250 (83.788) Epoch: [69][1770/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.8419 (1.6868) Prec@1 53.750 (54.832) Prec@5 83.125 (83.790) Epoch: [69][1780/11272] Time 0.839 (0.775) Data 0.001 (0.003) Loss 1.6508 (1.6867) Prec@1 51.875 (54.834) Prec@5 84.375 (83.794) Epoch: [69][1790/11272] Time 0.727 (0.775) Data 0.001 (0.003) Loss 1.6706 (1.6866) Prec@1 51.250 (54.835) Prec@5 90.000 (83.794) Epoch: [69][1800/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.8254 (1.6869) Prec@1 53.750 (54.831) Prec@5 80.625 (83.793) Epoch: [69][1810/11272] Time 0.831 (0.775) Data 0.001 (0.003) Loss 1.8119 (1.6868) Prec@1 53.750 (54.835) Prec@5 80.625 (83.795) Epoch: [69][1820/11272] Time 0.797 (0.775) Data 0.001 (0.003) Loss 1.5940 (1.6863) Prec@1 60.000 (54.847) Prec@5 84.375 (83.802) Epoch: [69][1830/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.7319 (1.6867) Prec@1 55.625 (54.833) Prec@5 81.875 (83.794) Epoch: [69][1840/11272] Time 0.714 (0.775) Data 0.002 (0.003) Loss 1.5513 (1.6868) Prec@1 55.000 (54.831) Prec@5 88.125 (83.792) Epoch: [69][1850/11272] Time 0.813 (0.775) Data 0.003 (0.003) Loss 1.5616 (1.6867) Prec@1 58.125 (54.838) Prec@5 83.125 (83.790) Epoch: [69][1860/11272] Time 0.837 (0.775) Data 0.001 (0.003) Loss 1.7707 (1.6870) Prec@1 56.875 (54.838) Prec@5 86.250 (83.781) Epoch: [69][1870/11272] Time 0.739 (0.775) Data 0.002 (0.003) Loss 1.6900 (1.6870) Prec@1 56.250 (54.844) Prec@5 83.125 (83.781) Epoch: [69][1880/11272] Time 0.702 (0.775) Data 0.001 (0.003) Loss 1.8693 (1.6869) Prec@1 49.375 (54.846) Prec@5 82.500 (83.783) Epoch: [69][1890/11272] Time 0.811 (0.775) Data 0.001 (0.003) Loss 1.5762 (1.6870) Prec@1 55.000 (54.841) Prec@5 88.750 (83.784) Epoch: [69][1900/11272] Time 0.839 (0.775) Data 0.002 (0.003) Loss 1.5807 (1.6870) Prec@1 53.125 (54.838) Prec@5 85.625 (83.786) Epoch: [69][1910/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.6843 (1.6871) Prec@1 59.375 (54.837) Prec@5 83.125 (83.786) Epoch: [69][1920/11272] Time 0.832 (0.775) Data 0.001 (0.003) Loss 1.7203 (1.6868) Prec@1 54.375 (54.838) Prec@5 83.125 (83.793) Epoch: [69][1930/11272] Time 0.813 (0.775) Data 0.002 (0.003) Loss 1.6731 (1.6867) Prec@1 51.250 (54.834) Prec@5 83.125 (83.794) Epoch: [69][1940/11272] Time 0.750 (0.775) Data 0.002 (0.003) Loss 1.8240 (1.6867) Prec@1 51.250 (54.842) Prec@5 77.500 (83.794) Epoch: [69][1950/11272] Time 0.762 (0.775) Data 0.001 (0.003) Loss 1.5393 (1.6866) Prec@1 58.750 (54.850) Prec@5 86.250 (83.795) Epoch: [69][1960/11272] Time 0.827 (0.775) Data 0.001 (0.003) Loss 1.9281 (1.6865) Prec@1 50.625 (54.844) Prec@5 77.500 (83.799) Epoch: [69][1970/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.4822 (1.6865) Prec@1 63.125 (54.848) Prec@5 86.250 (83.803) Epoch: [69][1980/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.7129 (1.6864) Prec@1 49.375 (54.850) Prec@5 85.625 (83.805) Epoch: [69][1990/11272] Time 0.734 (0.775) Data 0.001 (0.003) Loss 1.7997 (1.6866) Prec@1 52.500 (54.852) Prec@5 81.250 (83.801) Epoch: [69][2000/11272] Time 0.811 (0.775) Data 0.001 (0.003) Loss 1.6597 (1.6863) Prec@1 58.750 (54.865) Prec@5 85.000 (83.804) Epoch: [69][2010/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.8138 (1.6863) Prec@1 53.750 (54.865) Prec@5 83.750 (83.805) Epoch: [69][2020/11272] Time 0.743 (0.775) Data 0.001 (0.003) Loss 1.6484 (1.6865) Prec@1 55.000 (54.868) Prec@5 83.750 (83.801) Epoch: [69][2030/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.8210 (1.6863) Prec@1 47.500 (54.870) Prec@5 82.500 (83.804) Epoch: [69][2040/11272] Time 0.815 (0.775) Data 0.002 (0.003) Loss 1.9637 (1.6867) Prec@1 48.750 (54.865) Prec@5 79.375 (83.798) Epoch: [69][2050/11272] Time 0.728 (0.775) Data 0.003 (0.003) Loss 1.8125 (1.6868) Prec@1 50.625 (54.862) Prec@5 81.250 (83.795) Epoch: [69][2060/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.9316 (1.6868) Prec@1 51.875 (54.858) Prec@5 76.875 (83.796) Epoch: [69][2070/11272] Time 0.852 (0.775) Data 0.002 (0.003) Loss 1.6370 (1.6863) Prec@1 57.500 (54.865) Prec@5 85.000 (83.803) Epoch: [69][2080/11272] Time 0.817 (0.775) Data 0.001 (0.003) Loss 1.7530 (1.6865) Prec@1 52.500 (54.856) Prec@5 84.375 (83.803) Epoch: [69][2090/11272] Time 0.722 (0.775) Data 0.001 (0.003) Loss 1.7843 (1.6866) Prec@1 53.125 (54.855) Prec@5 85.625 (83.805) Epoch: [69][2100/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.7446 (1.6870) Prec@1 51.875 (54.845) Prec@5 81.875 (83.798) Epoch: [69][2110/11272] Time 0.825 (0.775) Data 0.002 (0.003) Loss 1.4680 (1.6869) Prec@1 53.125 (54.837) Prec@5 88.125 (83.800) Epoch: [69][2120/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 2.0510 (1.6874) Prec@1 45.625 (54.829) Prec@5 80.625 (83.795) Epoch: [69][2130/11272] Time 0.728 (0.775) Data 0.001 (0.003) Loss 1.4949 (1.6872) Prec@1 60.000 (54.827) Prec@5 86.875 (83.796) Epoch: [69][2140/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.7582 (1.6868) Prec@1 53.750 (54.830) Prec@5 85.000 (83.799) Epoch: [69][2150/11272] Time 0.880 (0.775) Data 0.001 (0.003) Loss 1.7850 (1.6869) Prec@1 55.625 (54.833) Prec@5 80.000 (83.794) Epoch: [69][2160/11272] Time 0.839 (0.775) Data 0.001 (0.003) Loss 1.7011 (1.6872) Prec@1 59.375 (54.828) Prec@5 82.500 (83.792) Epoch: [69][2170/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.9047 (1.6872) Prec@1 50.000 (54.830) Prec@5 83.125 (83.790) Epoch: [69][2180/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.6097 (1.6874) Prec@1 58.750 (54.826) Prec@5 83.125 (83.785) Epoch: [69][2190/11272] Time 0.843 (0.775) Data 0.001 (0.003) Loss 1.7622 (1.6873) Prec@1 56.875 (54.836) Prec@5 81.875 (83.785) Epoch: [69][2200/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.8094 (1.6875) Prec@1 53.125 (54.831) Prec@5 83.125 (83.780) Epoch: [69][2210/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.4777 (1.6875) Prec@1 60.000 (54.835) Prec@5 86.250 (83.777) Epoch: [69][2220/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 1.7873 (1.6875) Prec@1 51.875 (54.833) Prec@5 78.125 (83.773) Epoch: [69][2230/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 1.5429 (1.6873) Prec@1 55.625 (54.837) Prec@5 85.000 (83.776) Epoch: [69][2240/11272] Time 0.733 (0.775) Data 0.001 (0.003) Loss 1.8435 (1.6876) Prec@1 51.250 (54.827) Prec@5 81.250 (83.771) Epoch: [69][2250/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.9276 (1.6875) Prec@1 41.875 (54.827) Prec@5 83.750 (83.775) Epoch: [69][2260/11272] Time 0.842 (0.775) Data 0.001 (0.003) Loss 1.7334 (1.6877) Prec@1 55.625 (54.825) Prec@5 81.875 (83.766) Epoch: [69][2270/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.7231 (1.6880) Prec@1 56.250 (54.817) Prec@5 82.500 (83.763) Epoch: [69][2280/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.6741 (1.6881) Prec@1 59.375 (54.818) Prec@5 84.375 (83.763) Epoch: [69][2290/11272] Time 0.700 (0.775) Data 0.001 (0.003) Loss 1.6411 (1.6879) Prec@1 58.125 (54.823) Prec@5 85.000 (83.768) Epoch: [69][2300/11272] Time 0.892 (0.775) Data 0.002 (0.003) Loss 1.7988 (1.6879) Prec@1 50.625 (54.824) Prec@5 82.500 (83.763) Epoch: [69][2310/11272] Time 0.722 (0.775) Data 0.003 (0.003) Loss 1.6652 (1.6880) Prec@1 55.000 (54.826) Prec@5 85.000 (83.762) Epoch: [69][2320/11272] Time 0.734 (0.775) Data 0.001 (0.003) Loss 1.7800 (1.6878) Prec@1 56.875 (54.831) Prec@5 83.750 (83.765) Epoch: [69][2330/11272] Time 0.827 (0.775) Data 0.001 (0.003) Loss 1.7059 (1.6881) Prec@1 53.125 (54.823) Prec@5 83.750 (83.760) Epoch: [69][2340/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.7542 (1.6879) Prec@1 50.000 (54.819) Prec@5 82.500 (83.764) Epoch: [69][2350/11272] Time 0.739 (0.775) Data 0.001 (0.003) Loss 1.7154 (1.6880) Prec@1 51.875 (54.815) Prec@5 82.500 (83.765) Epoch: [69][2360/11272] Time 0.791 (0.775) Data 0.002 (0.003) Loss 1.6104 (1.6880) Prec@1 61.875 (54.817) Prec@5 83.750 (83.767) Epoch: [69][2370/11272] Time 0.826 (0.775) Data 0.001 (0.003) Loss 1.5497 (1.6879) Prec@1 56.875 (54.814) Prec@5 85.625 (83.770) Epoch: [69][2380/11272] Time 0.834 (0.775) Data 0.001 (0.003) Loss 1.6969 (1.6880) Prec@1 54.375 (54.815) Prec@5 82.500 (83.766) Epoch: [69][2390/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.7949 (1.6881) Prec@1 54.375 (54.819) Prec@5 81.250 (83.761) Epoch: [69][2400/11272] Time 0.726 (0.775) Data 0.001 (0.003) Loss 1.4749 (1.6878) Prec@1 60.000 (54.829) Prec@5 89.375 (83.767) Epoch: [69][2410/11272] Time 0.846 (0.775) Data 0.001 (0.003) Loss 1.4676 (1.6877) Prec@1 59.375 (54.827) Prec@5 83.750 (83.769) Epoch: [69][2420/11272] Time 0.811 (0.775) Data 0.001 (0.003) Loss 1.7962 (1.6877) Prec@1 51.250 (54.827) Prec@5 83.125 (83.770) Epoch: [69][2430/11272] Time 0.719 (0.775) Data 0.002 (0.003) Loss 1.6200 (1.6875) Prec@1 58.125 (54.828) Prec@5 82.500 (83.774) Epoch: [69][2440/11272] Time 0.853 (0.775) Data 0.001 (0.003) Loss 1.6595 (1.6875) Prec@1 56.250 (54.836) Prec@5 83.125 (83.770) Epoch: [69][2450/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.7564 (1.6878) Prec@1 53.750 (54.825) Prec@5 81.875 (83.768) Epoch: [69][2460/11272] Time 0.737 (0.775) Data 0.002 (0.003) Loss 1.7679 (1.6878) Prec@1 53.750 (54.821) Prec@5 84.375 (83.770) Epoch: [69][2470/11272] Time 0.727 (0.775) Data 0.002 (0.003) Loss 1.5828 (1.6879) Prec@1 56.875 (54.822) Prec@5 84.375 (83.769) Epoch: [69][2480/11272] Time 0.806 (0.775) Data 0.001 (0.003) Loss 1.6374 (1.6882) Prec@1 57.500 (54.818) Prec@5 86.875 (83.767) Epoch: [69][2490/11272] Time 0.817 (0.775) Data 0.001 (0.003) Loss 1.8813 (1.6882) Prec@1 48.750 (54.818) Prec@5 82.500 (83.768) Epoch: [69][2500/11272] Time 0.752 (0.775) Data 0.001 (0.003) Loss 1.6013 (1.6882) Prec@1 55.625 (54.821) Prec@5 83.750 (83.768) Epoch: [69][2510/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.7964 (1.6882) Prec@1 50.625 (54.825) Prec@5 85.000 (83.768) Epoch: [69][2520/11272] Time 0.804 (0.775) Data 0.001 (0.003) Loss 1.7679 (1.6882) Prec@1 50.625 (54.824) Prec@5 84.375 (83.768) Epoch: [69][2530/11272] Time 0.831 (0.775) Data 0.001 (0.003) Loss 1.5615 (1.6882) Prec@1 53.750 (54.822) Prec@5 85.625 (83.768) Epoch: [69][2540/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.7177 (1.6885) Prec@1 51.875 (54.822) Prec@5 83.750 (83.759) Epoch: [69][2550/11272] Time 0.716 (0.775) Data 0.001 (0.003) Loss 1.7754 (1.6886) Prec@1 53.125 (54.824) Prec@5 85.625 (83.761) Epoch: [69][2560/11272] Time 0.840 (0.775) Data 0.002 (0.003) Loss 1.7288 (1.6890) Prec@1 55.000 (54.822) Prec@5 80.625 (83.753) Epoch: [69][2570/11272] Time 0.841 (0.775) Data 0.002 (0.003) Loss 1.6435 (1.6889) Prec@1 56.250 (54.817) Prec@5 85.625 (83.758) Epoch: [69][2580/11272] Time 0.739 (0.775) Data 0.001 (0.003) Loss 1.5937 (1.6887) Prec@1 60.000 (54.820) Prec@5 84.375 (83.761) Epoch: [69][2590/11272] Time 0.818 (0.775) Data 0.001 (0.003) Loss 1.7257 (1.6884) Prec@1 51.250 (54.828) Prec@5 82.500 (83.767) Epoch: [69][2600/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.6587 (1.6884) Prec@1 58.750 (54.832) Prec@5 86.250 (83.768) Epoch: [69][2610/11272] Time 0.722 (0.775) Data 0.001 (0.003) Loss 1.4775 (1.6882) Prec@1 58.750 (54.835) Prec@5 88.750 (83.770) Epoch: [69][2620/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.6201 (1.6883) Prec@1 53.750 (54.833) Prec@5 82.500 (83.764) Epoch: [69][2630/11272] Time 0.855 (0.775) Data 0.002 (0.003) Loss 1.6007 (1.6881) Prec@1 55.625 (54.843) Prec@5 86.875 (83.768) Epoch: [69][2640/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.4181 (1.6881) Prec@1 60.625 (54.853) Prec@5 90.625 (83.764) Epoch: [69][2650/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 1.6227 (1.6881) Prec@1 56.875 (54.852) Prec@5 83.125 (83.761) Epoch: [69][2660/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.7723 (1.6880) Prec@1 53.750 (54.853) Prec@5 83.125 (83.764) Epoch: [69][2670/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.8472 (1.6881) Prec@1 51.875 (54.849) Prec@5 83.125 (83.764) Epoch: [69][2680/11272] Time 0.877 (0.775) Data 0.002 (0.003) Loss 1.7375 (1.6883) Prec@1 55.625 (54.848) Prec@5 85.000 (83.761) Epoch: [69][2690/11272] Time 0.694 (0.775) Data 0.001 (0.003) Loss 1.7458 (1.6888) Prec@1 56.875 (54.837) Prec@5 81.250 (83.751) Epoch: [69][2700/11272] Time 0.768 (0.775) Data 0.002 (0.003) Loss 1.6148 (1.6889) Prec@1 56.250 (54.834) Prec@5 85.000 (83.753) Epoch: [69][2710/11272] Time 0.818 (0.775) Data 0.001 (0.003) Loss 1.6197 (1.6888) Prec@1 53.125 (54.835) Prec@5 89.375 (83.754) Epoch: [69][2720/11272] Time 0.707 (0.775) Data 0.001 (0.003) Loss 1.6563 (1.6887) Prec@1 56.250 (54.841) Prec@5 84.375 (83.760) Epoch: [69][2730/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.6628 (1.6886) Prec@1 55.625 (54.842) Prec@5 83.125 (83.758) Epoch: [69][2740/11272] Time 0.844 (0.775) Data 0.001 (0.003) Loss 1.6725 (1.6885) Prec@1 53.750 (54.839) Prec@5 85.625 (83.760) Epoch: [69][2750/11272] Time 0.782 (0.775) Data 0.001 (0.003) Loss 1.6647 (1.6886) Prec@1 56.875 (54.838) Prec@5 82.500 (83.759) Epoch: [69][2760/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.7127 (1.6885) Prec@1 55.625 (54.842) Prec@5 83.750 (83.764) Epoch: [69][2770/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.7622 (1.6885) Prec@1 53.125 (54.848) Prec@5 85.625 (83.762) Epoch: [69][2780/11272] Time 0.804 (0.775) Data 0.001 (0.003) Loss 1.8304 (1.6887) Prec@1 46.875 (54.844) Prec@5 80.625 (83.755) Epoch: [69][2790/11272] Time 0.838 (0.775) Data 0.001 (0.003) Loss 1.8226 (1.6886) Prec@1 52.500 (54.843) Prec@5 85.000 (83.757) Epoch: [69][2800/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 1.6804 (1.6888) Prec@1 54.375 (54.838) Prec@5 81.875 (83.756) Epoch: [69][2810/11272] Time 0.719 (0.775) Data 0.001 (0.003) Loss 1.6501 (1.6887) Prec@1 55.000 (54.842) Prec@5 83.750 (83.756) Epoch: [69][2820/11272] Time 0.818 (0.775) Data 0.001 (0.003) Loss 1.6430 (1.6885) Prec@1 58.125 (54.847) Prec@5 80.625 (83.760) Epoch: [69][2830/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.5599 (1.6886) Prec@1 59.375 (54.847) Prec@5 83.125 (83.757) Epoch: [69][2840/11272] Time 0.752 (0.775) Data 0.001 (0.003) Loss 1.4124 (1.6888) Prec@1 55.625 (54.839) Prec@5 91.250 (83.756) Epoch: [69][2850/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.3190 (1.6890) Prec@1 61.250 (54.839) Prec@5 90.625 (83.752) Epoch: [69][2860/11272] Time 0.846 (0.775) Data 0.001 (0.003) Loss 1.4491 (1.6890) Prec@1 63.125 (54.839) Prec@5 88.750 (83.755) Epoch: [69][2870/11272] Time 0.743 (0.775) Data 0.001 (0.003) Loss 1.5843 (1.6888) Prec@1 55.625 (54.841) Prec@5 85.625 (83.758) Epoch: [69][2880/11272] Time 0.707 (0.775) Data 0.001 (0.003) Loss 1.7194 (1.6889) Prec@1 52.500 (54.836) Prec@5 81.875 (83.756) Epoch: [69][2890/11272] Time 0.800 (0.775) Data 0.001 (0.003) Loss 1.5453 (1.6888) Prec@1 57.500 (54.839) Prec@5 85.000 (83.759) Epoch: [69][2900/11272] Time 0.803 (0.775) Data 0.001 (0.003) Loss 1.8345 (1.6887) Prec@1 55.000 (54.843) Prec@5 78.750 (83.758) Epoch: [69][2910/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.5593 (1.6887) Prec@1 60.000 (54.843) Prec@5 87.500 (83.760) Epoch: [69][2920/11272] Time 0.755 (0.775) Data 0.002 (0.003) Loss 1.6398 (1.6887) Prec@1 60.625 (54.847) Prec@5 83.125 (83.759) Epoch: [69][2930/11272] Time 0.823 (0.775) Data 0.001 (0.003) Loss 1.6245 (1.6887) Prec@1 51.250 (54.848) Prec@5 86.875 (83.758) Epoch: [69][2940/11272] Time 0.847 (0.775) Data 0.001 (0.003) Loss 1.5104 (1.6887) Prec@1 56.250 (54.846) Prec@5 88.750 (83.761) Epoch: [69][2950/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 2.0157 (1.6888) Prec@1 48.750 (54.846) Prec@5 76.875 (83.762) Epoch: [69][2960/11272] Time 0.708 (0.775) Data 0.001 (0.003) Loss 1.6104 (1.6889) Prec@1 59.375 (54.844) Prec@5 83.750 (83.761) Epoch: [69][2970/11272] Time 0.815 (0.775) Data 0.001 (0.003) Loss 1.5922 (1.6890) Prec@1 58.750 (54.841) Prec@5 80.625 (83.758) Epoch: [69][2980/11272] Time 0.735 (0.775) Data 0.003 (0.003) Loss 1.6144 (1.6890) Prec@1 61.250 (54.841) Prec@5 83.750 (83.759) Epoch: [69][2990/11272] Time 0.731 (0.775) Data 0.002 (0.003) Loss 1.5522 (1.6891) Prec@1 59.375 (54.838) Prec@5 86.250 (83.756) Epoch: [69][3000/11272] Time 0.810 (0.775) Data 0.001 (0.003) Loss 1.9959 (1.6890) Prec@1 51.250 (54.841) Prec@5 77.500 (83.756) Epoch: [69][3010/11272] Time 0.886 (0.775) Data 0.002 (0.003) Loss 1.7042 (1.6889) Prec@1 53.750 (54.845) Prec@5 83.125 (83.755) Epoch: [69][3020/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.6660 (1.6890) Prec@1 55.625 (54.845) Prec@5 84.375 (83.755) Epoch: [69][3030/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.7716 (1.6890) Prec@1 54.375 (54.849) Prec@5 83.125 (83.753) Epoch: [69][3040/11272] Time 0.877 (0.775) Data 0.002 (0.002) Loss 1.7614 (1.6891) Prec@1 49.375 (54.843) Prec@5 85.625 (83.754) Epoch: [69][3050/11272] Time 0.851 (0.775) Data 0.001 (0.002) Loss 1.5865 (1.6890) Prec@1 57.500 (54.843) Prec@5 84.375 (83.755) Epoch: [69][3060/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.6237 (1.6888) Prec@1 56.250 (54.844) Prec@5 82.500 (83.756) Epoch: [69][3070/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6348 (1.6887) Prec@1 62.500 (54.851) Prec@5 82.500 (83.755) Epoch: [69][3080/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.4714 (1.6886) Prec@1 56.250 (54.856) Prec@5 90.000 (83.758) Epoch: [69][3090/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.5951 (1.6885) Prec@1 55.000 (54.858) Prec@5 83.750 (83.762) Epoch: [69][3100/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.6952 (1.6885) Prec@1 53.750 (54.861) Prec@5 87.500 (83.767) Epoch: [69][3110/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7016 (1.6885) Prec@1 53.750 (54.860) Prec@5 86.250 (83.769) Epoch: [69][3120/11272] Time 0.790 (0.775) Data 0.001 (0.002) Loss 1.7145 (1.6885) Prec@1 53.125 (54.857) Prec@5 84.375 (83.772) Epoch: [69][3130/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.6841 (1.6887) Prec@1 60.000 (54.856) Prec@5 80.000 (83.769) Epoch: [69][3140/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.6142 (1.6887) Prec@1 59.375 (54.858) Prec@5 85.000 (83.769) Epoch: [69][3150/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.6909 (1.6885) Prec@1 55.000 (54.862) Prec@5 82.500 (83.771) Epoch: [69][3160/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.6664 (1.6883) Prec@1 52.500 (54.865) Prec@5 83.125 (83.772) Epoch: [69][3170/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6953 (1.6884) Prec@1 54.375 (54.867) Prec@5 86.250 (83.771) Epoch: [69][3180/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.6779 (1.6883) Prec@1 57.500 (54.870) Prec@5 81.250 (83.773) Epoch: [69][3190/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.4615 (1.6880) Prec@1 53.750 (54.871) Prec@5 90.000 (83.778) Epoch: [69][3200/11272] Time 0.778 (0.775) Data 0.001 (0.002) Loss 1.5399 (1.6880) Prec@1 61.250 (54.873) Prec@5 87.500 (83.778) Epoch: [69][3210/11272] Time 0.752 (0.775) Data 0.001 (0.002) Loss 1.6000 (1.6880) Prec@1 55.000 (54.869) Prec@5 85.000 (83.777) Epoch: [69][3220/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6500 (1.6881) Prec@1 60.000 (54.872) Prec@5 83.750 (83.776) Epoch: [69][3230/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5282 (1.6881) Prec@1 58.750 (54.869) Prec@5 85.625 (83.776) Epoch: [69][3240/11272] Time 0.718 (0.775) Data 0.004 (0.002) Loss 1.7010 (1.6880) Prec@1 56.250 (54.872) Prec@5 83.125 (83.779) Epoch: [69][3250/11272] Time 0.722 (0.775) Data 0.002 (0.002) Loss 1.3961 (1.6879) Prec@1 56.875 (54.872) Prec@5 90.000 (83.783) Epoch: [69][3260/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.7542 (1.6879) Prec@1 53.750 (54.870) Prec@5 82.500 (83.782) Epoch: [69][3270/11272] Time 0.820 (0.775) Data 0.003 (0.002) Loss 1.8516 (1.6880) Prec@1 48.125 (54.865) Prec@5 78.125 (83.780) Epoch: [69][3280/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.7062 (1.6882) Prec@1 51.875 (54.858) Prec@5 82.500 (83.774) Epoch: [69][3290/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5848 (1.6880) Prec@1 56.250 (54.863) Prec@5 83.750 (83.774) Epoch: [69][3300/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6210 (1.6880) Prec@1 52.500 (54.861) Prec@5 83.750 (83.775) Epoch: [69][3310/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.6784 (1.6880) Prec@1 51.875 (54.860) Prec@5 85.625 (83.777) Epoch: [69][3320/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.6280 (1.6878) Prec@1 59.375 (54.865) Prec@5 82.500 (83.779) Epoch: [69][3330/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.6026 (1.6879) Prec@1 55.000 (54.861) Prec@5 86.250 (83.777) Epoch: [69][3340/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.7264 (1.6877) Prec@1 55.000 (54.865) Prec@5 83.750 (83.781) Epoch: [69][3350/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.9546 (1.6880) Prec@1 50.625 (54.860) Prec@5 78.750 (83.778) Epoch: [69][3360/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.6839 (1.6879) Prec@1 46.875 (54.861) Prec@5 86.250 (83.778) Epoch: [69][3370/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.5039 (1.6880) Prec@1 60.000 (54.863) Prec@5 86.250 (83.778) Epoch: [69][3380/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.4860 (1.6881) Prec@1 58.750 (54.862) Prec@5 85.625 (83.777) Epoch: [69][3390/11272] Time 0.703 (0.775) Data 0.002 (0.002) Loss 1.6023 (1.6880) Prec@1 56.250 (54.868) Prec@5 81.875 (83.775) Epoch: [69][3400/11272] Time 0.751 (0.775) Data 0.002 (0.002) Loss 1.5241 (1.6880) Prec@1 58.125 (54.867) Prec@5 85.625 (83.777) Epoch: [69][3410/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.6997 (1.6880) Prec@1 53.125 (54.867) Prec@5 83.125 (83.777) Epoch: [69][3420/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.7493 (1.6879) Prec@1 58.750 (54.868) Prec@5 83.750 (83.779) Epoch: [69][3430/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.6772 (1.6879) Prec@1 54.375 (54.863) Prec@5 85.625 (83.781) Epoch: [69][3440/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7493 (1.6880) Prec@1 58.125 (54.859) Prec@5 78.750 (83.775) Epoch: [69][3450/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.7504 (1.6883) Prec@1 51.250 (54.852) Prec@5 82.500 (83.769) Epoch: [69][3460/11272] Time 0.848 (0.775) Data 0.002 (0.002) Loss 1.7278 (1.6882) Prec@1 56.250 (54.859) Prec@5 82.500 (83.772) Epoch: [69][3470/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.7495 (1.6881) Prec@1 51.875 (54.862) Prec@5 84.375 (83.776) Epoch: [69][3480/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.4708 (1.6881) Prec@1 56.875 (54.857) Prec@5 86.875 (83.774) Epoch: [69][3490/11272] Time 0.839 (0.775) Data 0.002 (0.002) Loss 1.7965 (1.6881) Prec@1 48.750 (54.860) Prec@5 83.750 (83.774) Epoch: [69][3500/11272] Time 0.844 (0.775) Data 0.002 (0.002) Loss 1.4671 (1.6880) Prec@1 57.500 (54.859) Prec@5 89.375 (83.775) Epoch: [69][3510/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.7319 (1.6881) Prec@1 51.250 (54.853) Prec@5 83.750 (83.775) Epoch: [69][3520/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6982 (1.6882) Prec@1 54.375 (54.850) Prec@5 84.375 (83.775) Epoch: [69][3530/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.4704 (1.6881) Prec@1 63.125 (54.853) Prec@5 88.125 (83.777) Epoch: [69][3540/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.5619 (1.6881) Prec@1 53.125 (54.855) Prec@5 86.250 (83.781) Epoch: [69][3550/11272] Time 0.743 (0.775) Data 0.001 (0.002) Loss 1.6361 (1.6881) Prec@1 58.125 (54.855) Prec@5 83.750 (83.782) Epoch: [69][3560/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.6868 (1.6881) Prec@1 59.375 (54.858) Prec@5 83.750 (83.778) Epoch: [69][3570/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.5959 (1.6881) Prec@1 50.000 (54.857) Prec@5 86.875 (83.780) Epoch: [69][3580/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.6794 (1.6881) Prec@1 53.125 (54.856) Prec@5 82.500 (83.780) Epoch: [69][3590/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5623 (1.6880) Prec@1 52.500 (54.859) Prec@5 85.625 (83.781) Epoch: [69][3600/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.8818 (1.6880) Prec@1 45.625 (54.857) Prec@5 80.000 (83.781) Epoch: [69][3610/11272] Time 0.821 (0.775) Data 0.002 (0.002) Loss 1.4941 (1.6878) Prec@1 62.500 (54.861) Prec@5 86.250 (83.784) Epoch: [69][3620/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.4812 (1.6879) Prec@1 57.500 (54.864) Prec@5 87.500 (83.786) Epoch: [69][3630/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6841 (1.6879) Prec@1 57.500 (54.864) Prec@5 81.250 (83.784) Epoch: [69][3640/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8260 (1.6880) Prec@1 50.000 (54.866) Prec@5 80.625 (83.782) Epoch: [69][3650/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.7738 (1.6884) Prec@1 53.125 (54.860) Prec@5 82.500 (83.773) Epoch: [69][3660/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6738 (1.6883) Prec@1 53.750 (54.861) Prec@5 83.750 (83.777) Epoch: [69][3670/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.6955 (1.6881) Prec@1 51.875 (54.861) Prec@5 85.000 (83.778) Epoch: [69][3680/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.5949 (1.6881) Prec@1 62.500 (54.861) Prec@5 87.500 (83.780) Epoch: [69][3690/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.4955 (1.6879) Prec@1 59.375 (54.866) Prec@5 88.750 (83.785) Epoch: [69][3700/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.8987 (1.6879) Prec@1 50.000 (54.866) Prec@5 80.625 (83.782) Epoch: [69][3710/11272] Time 0.865 (0.775) Data 0.002 (0.002) Loss 1.5759 (1.6879) Prec@1 56.250 (54.867) Prec@5 86.250 (83.780) Epoch: [69][3720/11272] Time 0.873 (0.775) Data 0.002 (0.002) Loss 2.0498 (1.6881) Prec@1 46.875 (54.859) Prec@5 77.500 (83.777) Epoch: [69][3730/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.9567 (1.6883) Prec@1 46.250 (54.855) Prec@5 78.125 (83.775) Epoch: [69][3740/11272] Time 0.723 (0.775) Data 0.002 (0.002) Loss 1.6170 (1.6882) Prec@1 55.625 (54.857) Prec@5 85.625 (83.776) Epoch: [69][3750/11272] Time 0.896 (0.775) Data 0.002 (0.002) Loss 1.6244 (1.6880) Prec@1 55.625 (54.861) Prec@5 81.875 (83.776) Epoch: [69][3760/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.6685 (1.6882) Prec@1 53.750 (54.861) Prec@5 83.750 (83.773) Epoch: [69][3770/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.7625 (1.6881) Prec@1 53.125 (54.865) Prec@5 80.000 (83.773) Epoch: [69][3780/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.7433 (1.6882) Prec@1 51.250 (54.863) Prec@5 84.375 (83.772) Epoch: [69][3790/11272] Time 0.976 (0.776) Data 0.001 (0.002) Loss 1.5606 (1.6882) Prec@1 53.125 (54.858) Prec@5 88.750 (83.773) Epoch: [69][3800/11272] Time 0.733 (0.776) Data 0.002 (0.002) Loss 1.6775 (1.6883) Prec@1 56.250 (54.857) Prec@5 86.875 (83.775) Epoch: [69][3810/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.4813 (1.6885) Prec@1 61.250 (54.860) Prec@5 85.625 (83.771) Epoch: [69][3820/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.7662 (1.6885) Prec@1 53.750 (54.857) Prec@5 79.375 (83.770) Epoch: [69][3830/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.8378 (1.6887) Prec@1 52.500 (54.855) Prec@5 81.250 (83.766) Epoch: [69][3840/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.6810 (1.6887) Prec@1 55.625 (54.855) Prec@5 85.625 (83.767) Epoch: [69][3850/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7639 (1.6887) Prec@1 58.125 (54.858) Prec@5 81.250 (83.767) Epoch: [69][3860/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.8675 (1.6888) Prec@1 49.375 (54.858) Prec@5 80.625 (83.766) Epoch: [69][3870/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.6234 (1.6885) Prec@1 52.500 (54.865) Prec@5 86.250 (83.772) Epoch: [69][3880/11272] Time 0.752 (0.776) Data 0.002 (0.002) Loss 1.9059 (1.6887) Prec@1 48.750 (54.863) Prec@5 80.000 (83.769) Epoch: [69][3890/11272] Time 0.742 (0.776) Data 0.002 (0.002) Loss 1.5693 (1.6885) Prec@1 56.875 (54.863) Prec@5 86.875 (83.774) Epoch: [69][3900/11272] Time 0.821 (0.776) Data 0.002 (0.002) Loss 1.6399 (1.6885) Prec@1 53.125 (54.861) Prec@5 86.250 (83.776) Epoch: [69][3910/11272] Time 0.717 (0.776) Data 0.003 (0.002) Loss 1.6727 (1.6885) Prec@1 56.875 (54.861) Prec@5 81.250 (83.776) Epoch: [69][3920/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.5410 (1.6884) Prec@1 57.500 (54.863) Prec@5 88.125 (83.780) Epoch: [69][3930/11272] Time 0.872 (0.776) Data 0.002 (0.002) Loss 1.7009 (1.6886) Prec@1 54.375 (54.857) Prec@5 83.750 (83.777) Epoch: [69][3940/11272] Time 0.887 (0.776) Data 0.002 (0.002) Loss 1.6027 (1.6885) Prec@1 58.125 (54.856) Prec@5 83.750 (83.777) Epoch: [69][3950/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.5844 (1.6886) Prec@1 55.625 (54.854) Prec@5 85.000 (83.776) Epoch: [69][3960/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.8826 (1.6888) Prec@1 55.000 (54.851) Prec@5 80.000 (83.773) Epoch: [69][3970/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.8826 (1.6887) Prec@1 50.625 (54.851) Prec@5 81.875 (83.775) Epoch: [69][3980/11272] Time 0.826 (0.777) Data 0.003 (0.002) Loss 1.7907 (1.6886) Prec@1 50.625 (54.853) Prec@5 85.000 (83.778) Epoch: [69][3990/11272] Time 0.721 (0.777) Data 0.001 (0.002) Loss 1.9796 (1.6887) Prec@1 45.000 (54.851) Prec@5 76.875 (83.778) Epoch: [69][4000/11272] Time 0.736 (0.777) Data 0.002 (0.002) Loss 1.6137 (1.6887) Prec@1 55.000 (54.852) Prec@5 84.375 (83.777) Epoch: [69][4010/11272] Time 0.863 (0.777) Data 0.001 (0.002) Loss 1.7816 (1.6889) Prec@1 53.125 (54.848) Prec@5 81.875 (83.774) Epoch: [69][4020/11272] Time 0.838 (0.777) Data 0.001 (0.002) Loss 1.7511 (1.6888) Prec@1 53.750 (54.848) Prec@5 82.500 (83.776) Epoch: [69][4030/11272] Time 0.718 (0.777) Data 0.002 (0.002) Loss 1.7730 (1.6889) Prec@1 55.000 (54.846) Prec@5 83.125 (83.774) Epoch: [69][4040/11272] Time 0.885 (0.777) Data 0.001 (0.002) Loss 1.4477 (1.6888) Prec@1 63.125 (54.849) Prec@5 86.250 (83.773) Epoch: [69][4050/11272] Time 0.860 (0.777) Data 0.002 (0.002) Loss 1.8550 (1.6888) Prec@1 53.125 (54.852) Prec@5 82.500 (83.774) Epoch: [69][4060/11272] Time 0.784 (0.777) Data 0.001 (0.002) Loss 1.9160 (1.6886) Prec@1 51.250 (54.853) Prec@5 79.375 (83.778) Epoch: [69][4070/11272] Time 0.713 (0.777) Data 0.002 (0.002) Loss 1.5141 (1.6886) Prec@1 56.250 (54.856) Prec@5 86.250 (83.778) Epoch: [69][4080/11272] Time 0.845 (0.777) Data 0.001 (0.002) Loss 1.6364 (1.6885) Prec@1 55.625 (54.857) Prec@5 81.875 (83.778) Epoch: [69][4090/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 2.0295 (1.6886) Prec@1 48.125 (54.854) Prec@5 80.625 (83.778) Epoch: [69][4100/11272] Time 0.727 (0.777) Data 0.002 (0.002) Loss 1.6718 (1.6886) Prec@1 54.375 (54.851) Prec@5 86.250 (83.778) Epoch: [69][4110/11272] Time 0.727 (0.777) Data 0.001 (0.002) Loss 1.5145 (1.6885) Prec@1 64.375 (54.857) Prec@5 86.875 (83.779) Epoch: [69][4120/11272] Time 0.846 (0.777) Data 0.001 (0.002) Loss 1.6527 (1.6885) Prec@1 53.750 (54.854) Prec@5 86.250 (83.779) Epoch: [69][4130/11272] Time 0.867 (0.777) Data 0.001 (0.002) Loss 1.4942 (1.6885) Prec@1 58.750 (54.857) Prec@5 90.625 (83.782) Epoch: [69][4140/11272] Time 0.698 (0.777) Data 0.001 (0.002) Loss 1.6399 (1.6885) Prec@1 56.250 (54.855) Prec@5 85.000 (83.782) Epoch: [69][4150/11272] Time 0.730 (0.777) Data 0.002 (0.002) Loss 1.4389 (1.6885) Prec@1 62.500 (54.853) Prec@5 88.750 (83.779) Epoch: [69][4160/11272] Time 0.825 (0.777) Data 0.002 (0.002) Loss 1.7079 (1.6885) Prec@1 51.250 (54.855) Prec@5 85.625 (83.777) Epoch: [69][4170/11272] Time 0.720 (0.777) Data 0.004 (0.002) Loss 1.9510 (1.6886) Prec@1 50.000 (54.855) Prec@5 76.875 (83.775) Epoch: [69][4180/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.7334 (1.6886) Prec@1 52.500 (54.855) Prec@5 86.250 (83.777) Epoch: [69][4190/11272] Time 0.870 (0.777) Data 0.002 (0.002) Loss 1.6376 (1.6887) Prec@1 53.125 (54.853) Prec@5 85.625 (83.774) Epoch: [69][4200/11272] Time 0.857 (0.778) Data 0.001 (0.002) Loss 1.4611 (1.6886) Prec@1 61.250 (54.852) Prec@5 86.250 (83.776) Epoch: [69][4210/11272] Time 0.751 (0.778) Data 0.002 (0.002) Loss 1.8745 (1.6884) Prec@1 53.125 (54.856) Prec@5 81.875 (83.780) Epoch: [69][4220/11272] Time 0.728 (0.778) Data 0.002 (0.002) Loss 1.7844 (1.6883) Prec@1 48.750 (54.853) Prec@5 85.625 (83.785) Epoch: [69][4230/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 2.0991 (1.6885) Prec@1 45.000 (54.850) Prec@5 77.500 (83.782) Epoch: [69][4240/11272] Time 0.821 (0.778) Data 0.001 (0.002) Loss 1.5021 (1.6886) Prec@1 58.750 (54.847) Prec@5 87.500 (83.779) Epoch: [69][4250/11272] Time 0.728 (0.778) Data 0.001 (0.002) Loss 1.8283 (1.6885) Prec@1 48.125 (54.848) Prec@5 83.125 (83.779) Epoch: [69][4260/11272] Time 0.756 (0.778) Data 0.002 (0.002) Loss 1.6090 (1.6884) Prec@1 58.750 (54.853) Prec@5 84.375 (83.780) Epoch: [69][4270/11272] Time 0.854 (0.778) Data 0.001 (0.002) Loss 1.5622 (1.6885) Prec@1 61.250 (54.851) Prec@5 83.125 (83.779) Epoch: [69][4280/11272] Time 0.831 (0.778) Data 0.001 (0.002) Loss 1.8371 (1.6887) Prec@1 52.500 (54.848) Prec@5 82.500 (83.775) Epoch: [69][4290/11272] Time 0.747 (0.778) Data 0.002 (0.002) Loss 1.6543 (1.6886) Prec@1 58.125 (54.851) Prec@5 83.750 (83.774) Epoch: [69][4300/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.7684 (1.6886) Prec@1 55.000 (54.852) Prec@5 82.500 (83.772) Epoch: [69][4310/11272] Time 0.878 (0.778) Data 0.002 (0.002) Loss 1.6452 (1.6887) Prec@1 55.625 (54.851) Prec@5 86.875 (83.769) Epoch: [69][4320/11272] Time 0.718 (0.778) Data 0.002 (0.002) Loss 1.9484 (1.6887) Prec@1 52.500 (54.854) Prec@5 83.125 (83.771) Epoch: [69][4330/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 1.6129 (1.6888) Prec@1 55.000 (54.852) Prec@5 86.250 (83.769) Epoch: [69][4340/11272] Time 0.864 (0.778) Data 0.002 (0.002) Loss 1.7785 (1.6888) Prec@1 52.500 (54.852) Prec@5 82.500 (83.769) Epoch: [69][4350/11272] Time 0.869 (0.778) Data 0.001 (0.002) Loss 1.7320 (1.6887) Prec@1 54.375 (54.851) Prec@5 81.250 (83.771) Epoch: [69][4360/11272] Time 0.740 (0.778) Data 0.002 (0.002) Loss 1.8542 (1.6888) Prec@1 54.375 (54.852) Prec@5 83.125 (83.770) Epoch: [69][4370/11272] Time 0.723 (0.778) Data 0.001 (0.002) Loss 1.6811 (1.6887) Prec@1 55.000 (54.856) Prec@5 86.250 (83.772) Epoch: [69][4380/11272] Time 0.842 (0.778) Data 0.001 (0.002) Loss 1.7214 (1.6886) Prec@1 53.125 (54.859) Prec@5 83.750 (83.772) Epoch: [69][4390/11272] Time 0.843 (0.778) Data 0.001 (0.002) Loss 1.7720 (1.6887) Prec@1 53.750 (54.855) Prec@5 81.250 (83.772) Epoch: [69][4400/11272] Time 0.703 (0.778) Data 0.001 (0.002) Loss 1.6604 (1.6886) Prec@1 51.875 (54.856) Prec@5 84.375 (83.775) Epoch: [69][4410/11272] Time 0.736 (0.778) Data 0.001 (0.002) Loss 1.7863 (1.6887) Prec@1 50.000 (54.854) Prec@5 82.500 (83.774) Epoch: [69][4420/11272] Time 0.855 (0.778) Data 0.002 (0.002) Loss 1.5208 (1.6886) Prec@1 55.000 (54.855) Prec@5 87.500 (83.774) Epoch: [69][4430/11272] Time 0.853 (0.778) Data 0.002 (0.002) Loss 1.7020 (1.6887) Prec@1 57.500 (54.855) Prec@5 78.750 (83.773) Epoch: [69][4440/11272] Time 0.717 (0.778) Data 0.001 (0.002) Loss 1.8034 (1.6889) Prec@1 50.625 (54.853) Prec@5 86.250 (83.772) Epoch: [69][4450/11272] Time 0.882 (0.778) Data 0.002 (0.002) Loss 1.6519 (1.6888) Prec@1 60.000 (54.854) Prec@5 82.500 (83.770) Epoch: [69][4460/11272] Time 0.860 (0.779) Data 0.001 (0.002) Loss 1.7115 (1.6889) Prec@1 51.875 (54.850) Prec@5 82.500 (83.772) Epoch: [69][4470/11272] Time 0.751 (0.779) Data 0.002 (0.002) Loss 1.5605 (1.6887) Prec@1 59.375 (54.850) Prec@5 83.750 (83.776) Epoch: [69][4480/11272] Time 0.715 (0.779) Data 0.001 (0.002) Loss 1.8166 (1.6888) Prec@1 51.250 (54.847) Prec@5 82.500 (83.775) Epoch: [69][4490/11272] Time 0.871 (0.779) Data 0.001 (0.002) Loss 1.7801 (1.6887) Prec@1 50.000 (54.845) Prec@5 85.000 (83.776) Epoch: [69][4500/11272] Time 0.836 (0.779) Data 0.001 (0.002) Loss 1.9708 (1.6887) Prec@1 51.250 (54.848) Prec@5 78.750 (83.776) Epoch: [69][4510/11272] Time 0.732 (0.779) Data 0.001 (0.002) Loss 1.6744 (1.6885) Prec@1 53.750 (54.852) Prec@5 83.750 (83.778) Epoch: [69][4520/11272] Time 0.731 (0.779) Data 0.002 (0.002) Loss 1.8368 (1.6887) Prec@1 57.500 (54.850) Prec@5 83.750 (83.777) Epoch: [69][4530/11272] Time 0.849 (0.779) Data 0.001 (0.002) Loss 1.5442 (1.6886) Prec@1 53.750 (54.852) Prec@5 84.375 (83.775) Epoch: [69][4540/11272] Time 0.849 (0.779) Data 0.001 (0.002) Loss 1.7656 (1.6886) Prec@1 52.500 (54.851) Prec@5 84.375 (83.776) Epoch: [69][4550/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.6021 (1.6885) Prec@1 60.000 (54.855) Prec@5 83.750 (83.776) Epoch: [69][4560/11272] Time 0.762 (0.779) Data 0.002 (0.002) Loss 1.6199 (1.6885) Prec@1 54.375 (54.856) Prec@5 86.875 (83.778) Epoch: [69][4570/11272] Time 0.839 (0.779) Data 0.002 (0.002) Loss 1.5548 (1.6884) Prec@1 58.125 (54.856) Prec@5 83.750 (83.779) Epoch: [69][4580/11272] Time 0.723 (0.779) Data 0.002 (0.002) Loss 1.5214 (1.6883) Prec@1 60.000 (54.862) Prec@5 85.000 (83.777) Epoch: [69][4590/11272] Time 0.732 (0.779) Data 0.002 (0.002) Loss 1.5734 (1.6883) Prec@1 61.875 (54.863) Prec@5 83.125 (83.778) Epoch: [69][4600/11272] Time 0.865 (0.779) Data 0.001 (0.002) Loss 1.7573 (1.6885) Prec@1 52.500 (54.856) Prec@5 80.625 (83.775) Epoch: [69][4610/11272] Time 0.832 (0.779) Data 0.001 (0.002) Loss 1.8430 (1.6885) Prec@1 53.125 (54.854) Prec@5 83.750 (83.778) Epoch: [69][4620/11272] Time 0.735 (0.779) Data 0.002 (0.002) Loss 1.8842 (1.6886) Prec@1 53.125 (54.854) Prec@5 78.750 (83.775) Epoch: [69][4630/11272] Time 0.743 (0.779) Data 0.002 (0.002) Loss 1.7864 (1.6886) Prec@1 58.125 (54.852) Prec@5 79.375 (83.775) Epoch: [69][4640/11272] Time 0.809 (0.779) Data 0.001 (0.002) Loss 1.5343 (1.6887) Prec@1 58.125 (54.852) Prec@5 86.250 (83.773) Epoch: [69][4650/11272] Time 0.861 (0.779) Data 0.002 (0.002) Loss 1.6420 (1.6888) Prec@1 56.875 (54.849) Prec@5 81.250 (83.772) Epoch: [69][4660/11272] Time 0.730 (0.779) Data 0.002 (0.002) Loss 1.8100 (1.6889) Prec@1 50.625 (54.847) Prec@5 83.750 (83.771) Epoch: [69][4670/11272] Time 0.730 (0.779) Data 0.002 (0.002) Loss 1.6505 (1.6889) Prec@1 53.125 (54.847) Prec@5 85.000 (83.770) Epoch: [69][4680/11272] Time 0.830 (0.779) Data 0.001 (0.002) Loss 1.7031 (1.6890) Prec@1 49.375 (54.838) Prec@5 83.750 (83.769) Epoch: [69][4690/11272] Time 0.862 (0.779) Data 0.002 (0.002) Loss 1.7211 (1.6890) Prec@1 47.500 (54.839) Prec@5 82.500 (83.771) Epoch: [69][4700/11272] Time 0.756 (0.779) Data 0.001 (0.002) Loss 1.6760 (1.6891) Prec@1 57.500 (54.838) Prec@5 85.625 (83.770) Epoch: [69][4710/11272] Time 0.834 (0.779) Data 0.001 (0.002) Loss 1.5713 (1.6890) Prec@1 53.125 (54.839) Prec@5 89.375 (83.769) Epoch: [69][4720/11272] Time 0.862 (0.779) Data 0.002 (0.002) Loss 1.6422 (1.6891) Prec@1 58.125 (54.837) Prec@5 84.375 (83.769) Epoch: [69][4730/11272] Time 0.729 (0.779) Data 0.002 (0.002) Loss 1.6313 (1.6890) Prec@1 52.500 (54.838) Prec@5 86.875 (83.772) Epoch: [69][4740/11272] Time 0.728 (0.779) Data 0.002 (0.002) Loss 1.8764 (1.6891) Prec@1 50.625 (54.833) Prec@5 81.250 (83.770) Epoch: [69][4750/11272] Time 0.838 (0.779) Data 0.001 (0.002) Loss 2.0419 (1.6892) Prec@1 46.250 (54.832) Prec@5 75.000 (83.766) Epoch: [69][4760/11272] Time 0.862 (0.779) Data 0.001 (0.002) Loss 1.7778 (1.6893) Prec@1 55.625 (54.831) Prec@5 78.750 (83.765) Epoch: [69][4770/11272] Time 0.724 (0.779) Data 0.002 (0.002) Loss 1.4787 (1.6894) Prec@1 61.250 (54.829) Prec@5 86.875 (83.764) Epoch: [69][4780/11272] Time 0.731 (0.779) Data 0.001 (0.002) Loss 1.7589 (1.6893) Prec@1 53.125 (54.831) Prec@5 80.000 (83.763) Epoch: [69][4790/11272] Time 0.917 (0.779) Data 0.002 (0.002) Loss 1.6644 (1.6892) Prec@1 60.000 (54.832) Prec@5 88.125 (83.769) Epoch: [69][4800/11272] Time 0.851 (0.779) Data 0.002 (0.002) Loss 1.5273 (1.6892) Prec@1 57.500 (54.829) Prec@5 86.250 (83.769) Epoch: [69][4810/11272] Time 0.731 (0.779) Data 0.001 (0.002) Loss 1.6889 (1.6892) Prec@1 53.750 (54.829) Prec@5 82.500 (83.767) Epoch: [69][4820/11272] Time 0.759 (0.780) Data 0.002 (0.002) Loss 1.6831 (1.6893) Prec@1 53.750 (54.827) Prec@5 85.000 (83.766) Epoch: [69][4830/11272] Time 0.803 (0.780) Data 0.001 (0.002) Loss 1.6764 (1.6893) Prec@1 59.375 (54.826) Prec@5 83.125 (83.767) Epoch: [69][4840/11272] Time 0.726 (0.780) Data 0.003 (0.002) Loss 1.3987 (1.6892) Prec@1 63.125 (54.828) Prec@5 91.875 (83.772) Epoch: [69][4850/11272] Time 0.720 (0.780) Data 0.002 (0.002) Loss 1.8885 (1.6892) Prec@1 48.125 (54.826) Prec@5 81.875 (83.771) Epoch: [69][4860/11272] Time 0.867 (0.780) Data 0.002 (0.002) Loss 1.8096 (1.6894) Prec@1 54.375 (54.820) Prec@5 80.625 (83.769) Epoch: [69][4870/11272] Time 0.895 (0.780) Data 0.001 (0.002) Loss 1.6189 (1.6893) Prec@1 56.875 (54.824) Prec@5 88.125 (83.771) Epoch: [69][4880/11272] Time 0.735 (0.780) Data 0.002 (0.002) Loss 1.5222 (1.6893) Prec@1 55.000 (54.822) Prec@5 85.625 (83.772) Epoch: [69][4890/11272] Time 0.740 (0.780) Data 0.002 (0.002) Loss 1.6514 (1.6893) Prec@1 55.000 (54.822) Prec@5 86.250 (83.772) Epoch: [69][4900/11272] Time 0.849 (0.780) Data 0.002 (0.002) Loss 1.7179 (1.6893) Prec@1 52.500 (54.820) Prec@5 84.375 (83.774) Epoch: [69][4910/11272] Time 0.864 (0.780) Data 0.001 (0.002) Loss 1.7362 (1.6893) Prec@1 54.375 (54.820) Prec@5 85.625 (83.773) Epoch: [69][4920/11272] Time 0.740 (0.780) Data 0.002 (0.002) Loss 1.7645 (1.6894) Prec@1 50.625 (54.818) Prec@5 81.250 (83.774) Epoch: [69][4930/11272] Time 0.755 (0.780) Data 0.001 (0.002) Loss 1.7567 (1.6893) Prec@1 54.375 (54.822) Prec@5 80.000 (83.774) Epoch: [69][4940/11272] Time 0.856 (0.780) Data 0.001 (0.002) Loss 1.8960 (1.6893) Prec@1 48.125 (54.822) Prec@5 77.500 (83.773) Epoch: [69][4950/11272] Time 0.833 (0.780) Data 0.001 (0.002) Loss 1.7895 (1.6893) Prec@1 48.750 (54.823) Prec@5 82.500 (83.773) Epoch: [69][4960/11272] Time 0.749 (0.780) Data 0.001 (0.002) Loss 1.4474 (1.6893) Prec@1 54.375 (54.821) Prec@5 88.125 (83.773) Epoch: [69][4970/11272] Time 0.872 (0.780) Data 0.002 (0.002) Loss 1.7460 (1.6892) Prec@1 56.250 (54.823) Prec@5 83.750 (83.773) Epoch: [69][4980/11272] Time 0.837 (0.780) Data 0.001 (0.002) Loss 1.8400 (1.6894) Prec@1 53.125 (54.819) Prec@5 78.750 (83.768) Epoch: [69][4990/11272] Time 0.767 (0.780) Data 0.002 (0.002) Loss 1.6369 (1.6895) Prec@1 49.375 (54.816) Prec@5 84.375 (83.767) Epoch: [69][5000/11272] Time 0.719 (0.780) Data 0.002 (0.002) Loss 1.6834 (1.6893) Prec@1 55.625 (54.820) Prec@5 82.500 (83.769) Epoch: [69][5010/11272] Time 0.901 (0.780) Data 0.001 (0.002) Loss 1.5719 (1.6892) Prec@1 58.750 (54.820) Prec@5 85.000 (83.770) Epoch: [69][5020/11272] Time 0.829 (0.780) Data 0.001 (0.002) Loss 1.6664 (1.6892) Prec@1 55.625 (54.822) Prec@5 85.000 (83.769) Epoch: [69][5030/11272] Time 0.747 (0.780) Data 0.002 (0.002) Loss 1.5255 (1.6894) Prec@1 65.000 (54.822) Prec@5 86.250 (83.766) Epoch: [69][5040/11272] Time 0.723 (0.780) Data 0.002 (0.002) Loss 1.5667 (1.6894) Prec@1 58.125 (54.825) Prec@5 84.375 (83.765) Epoch: [69][5050/11272] Time 0.885 (0.780) Data 0.002 (0.002) Loss 1.8814 (1.6894) Prec@1 49.375 (54.824) Prec@5 78.750 (83.763) Epoch: [69][5060/11272] Time 0.850 (0.780) Data 0.001 (0.002) Loss 1.8518 (1.6893) Prec@1 46.875 (54.827) Prec@5 82.500 (83.764) Epoch: [69][5070/11272] Time 0.733 (0.780) Data 0.001 (0.002) Loss 1.7456 (1.6893) Prec@1 56.250 (54.829) Prec@5 81.875 (83.765) Epoch: [69][5080/11272] Time 0.699 (0.780) Data 0.001 (0.002) Loss 1.9376 (1.6894) Prec@1 50.000 (54.827) Prec@5 78.125 (83.761) Epoch: [69][5090/11272] Time 0.830 (0.780) Data 0.002 (0.002) Loss 1.6689 (1.6893) Prec@1 50.000 (54.828) Prec@5 85.625 (83.762) Epoch: [69][5100/11272] Time 0.743 (0.780) Data 0.003 (0.002) Loss 1.7947 (1.6893) Prec@1 52.500 (54.824) Prec@5 83.125 (83.762) Epoch: [69][5110/11272] Time 0.748 (0.780) Data 0.002 (0.002) Loss 1.7115 (1.6893) Prec@1 55.625 (54.824) Prec@5 81.875 (83.761) Epoch: [69][5120/11272] Time 0.821 (0.780) Data 0.001 (0.002) Loss 1.7968 (1.6893) Prec@1 52.500 (54.823) Prec@5 81.875 (83.764) Epoch: [69][5130/11272] Time 0.852 (0.780) Data 0.002 (0.002) Loss 1.7518 (1.6895) Prec@1 51.875 (54.818) Prec@5 80.625 (83.760) Epoch: [69][5140/11272] Time 0.715 (0.780) Data 0.001 (0.002) Loss 1.6033 (1.6895) Prec@1 60.625 (54.819) Prec@5 85.625 (83.759) Epoch: [69][5150/11272] Time 0.717 (0.780) Data 0.001 (0.002) Loss 1.8066 (1.6896) Prec@1 51.875 (54.817) Prec@5 82.500 (83.756) Epoch: [69][5160/11272] Time 0.828 (0.780) Data 0.002 (0.002) Loss 1.5072 (1.6896) Prec@1 58.125 (54.816) Prec@5 86.250 (83.754) Epoch: [69][5170/11272] Time 0.916 (0.780) Data 0.002 (0.002) Loss 1.7739 (1.6898) Prec@1 55.000 (54.811) Prec@5 81.875 (83.754) Epoch: [69][5180/11272] Time 0.741 (0.780) Data 0.002 (0.002) Loss 1.8557 (1.6897) Prec@1 52.500 (54.813) Prec@5 80.000 (83.752) Epoch: [69][5190/11272] Time 0.716 (0.780) Data 0.001 (0.002) Loss 1.6908 (1.6896) Prec@1 56.250 (54.813) Prec@5 83.750 (83.753) Epoch: [69][5200/11272] Time 0.843 (0.780) Data 0.001 (0.002) Loss 1.7125 (1.6896) Prec@1 53.125 (54.816) Prec@5 84.375 (83.753) Epoch: [69][5210/11272] Time 0.842 (0.780) Data 0.001 (0.002) Loss 1.6413 (1.6897) Prec@1 56.250 (54.814) Prec@5 84.375 (83.751) Epoch: [69][5220/11272] Time 0.718 (0.780) Data 0.001 (0.002) Loss 1.9071 (1.6896) Prec@1 51.875 (54.815) Prec@5 77.500 (83.753) Epoch: [69][5230/11272] Time 0.864 (0.780) Data 0.002 (0.002) Loss 2.0433 (1.6895) Prec@1 47.500 (54.815) Prec@5 75.625 (83.754) Epoch: [69][5240/11272] Time 0.851 (0.781) Data 0.002 (0.002) Loss 1.6811 (1.6896) Prec@1 53.750 (54.813) Prec@5 82.500 (83.754) Epoch: [69][5250/11272] Time 0.714 (0.781) Data 0.002 (0.002) Loss 1.6561 (1.6895) Prec@1 57.500 (54.816) Prec@5 83.125 (83.754) Epoch: [69][5260/11272] Time 0.745 (0.781) Data 0.002 (0.002) Loss 1.5929 (1.6894) Prec@1 63.125 (54.819) Prec@5 83.125 (83.754) Epoch: [69][5270/11272] Time 0.834 (0.781) Data 0.001 (0.002) Loss 1.7567 (1.6894) Prec@1 56.875 (54.820) Prec@5 80.000 (83.754) Epoch: [69][5280/11272] Time 0.849 (0.781) Data 0.002 (0.002) Loss 1.6778 (1.6895) Prec@1 52.500 (54.818) Prec@5 86.875 (83.752) Epoch: [69][5290/11272] Time 0.716 (0.781) Data 0.002 (0.002) Loss 1.6910 (1.6894) Prec@1 52.500 (54.821) Prec@5 82.500 (83.755) Epoch: [69][5300/11272] Time 0.761 (0.781) Data 0.002 (0.002) Loss 1.5013 (1.6894) Prec@1 60.000 (54.821) Prec@5 90.000 (83.755) Epoch: [69][5310/11272] Time 0.839 (0.781) Data 0.001 (0.002) Loss 1.7360 (1.6892) Prec@1 53.750 (54.827) Prec@5 83.125 (83.757) Epoch: [69][5320/11272] Time 0.809 (0.781) Data 0.002 (0.002) Loss 1.6574 (1.6891) Prec@1 59.375 (54.829) Prec@5 86.250 (83.759) Epoch: [69][5330/11272] Time 0.736 (0.781) Data 0.002 (0.002) Loss 1.7540 (1.6892) Prec@1 55.625 (54.827) Prec@5 82.500 (83.758) Epoch: [69][5340/11272] Time 0.739 (0.781) Data 0.002 (0.002) Loss 1.5885 (1.6892) Prec@1 56.250 (54.828) Prec@5 84.375 (83.758) Epoch: [69][5350/11272] Time 0.811 (0.781) Data 0.002 (0.002) Loss 1.8477 (1.6891) Prec@1 50.625 (54.830) Prec@5 78.750 (83.760) Epoch: [69][5360/11272] Time 0.860 (0.781) Data 0.002 (0.002) Loss 1.5309 (1.6891) Prec@1 60.625 (54.829) Prec@5 87.500 (83.759) Epoch: [69][5370/11272] Time 0.711 (0.781) Data 0.002 (0.002) Loss 1.7295 (1.6890) Prec@1 51.250 (54.829) Prec@5 83.750 (83.761) Epoch: [69][5380/11272] Time 0.815 (0.781) Data 0.001 (0.002) Loss 1.6684 (1.6890) Prec@1 53.750 (54.829) Prec@5 85.625 (83.762) Epoch: [69][5390/11272] Time 0.853 (0.781) Data 0.001 (0.002) Loss 1.7841 (1.6891) Prec@1 50.625 (54.828) Prec@5 81.875 (83.761) Epoch: [69][5400/11272] Time 0.737 (0.781) Data 0.001 (0.002) Loss 1.7347 (1.6892) Prec@1 53.125 (54.824) Prec@5 82.500 (83.760) Epoch: [69][5410/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 1.5889 (1.6892) Prec@1 54.375 (54.824) Prec@5 85.625 (83.762) Epoch: [69][5420/11272] Time 0.939 (0.781) Data 0.003 (0.002) Loss 1.8832 (1.6891) Prec@1 45.000 (54.825) Prec@5 82.500 (83.761) Epoch: [69][5430/11272] Time 0.828 (0.781) Data 0.002 (0.002) Loss 1.8156 (1.6892) Prec@1 56.250 (54.824) Prec@5 80.625 (83.762) Epoch: [69][5440/11272] Time 0.715 (0.781) Data 0.001 (0.002) Loss 1.6808 (1.6892) Prec@1 55.625 (54.825) Prec@5 84.375 (83.762) Epoch: [69][5450/11272] Time 0.759 (0.781) Data 0.002 (0.002) Loss 1.8439 (1.6891) Prec@1 51.875 (54.828) Prec@5 80.000 (83.765) Epoch: [69][5460/11272] Time 0.859 (0.781) Data 0.002 (0.002) Loss 1.9221 (1.6890) Prec@1 56.250 (54.830) Prec@5 76.875 (83.765) Epoch: [69][5470/11272] Time 0.811 (0.781) Data 0.001 (0.002) Loss 1.6426 (1.6890) Prec@1 56.250 (54.833) Prec@5 83.750 (83.767) Epoch: [69][5480/11272] Time 0.763 (0.781) Data 0.001 (0.002) Loss 1.7327 (1.6889) Prec@1 54.375 (54.834) Prec@5 84.375 (83.768) Epoch: [69][5490/11272] Time 0.758 (0.781) Data 0.002 (0.002) Loss 1.8660 (1.6891) Prec@1 52.500 (54.832) Prec@5 80.625 (83.764) Epoch: [69][5500/11272] Time 0.856 (0.781) Data 0.002 (0.002) Loss 1.7800 (1.6890) Prec@1 54.375 (54.836) Prec@5 83.125 (83.766) Epoch: [69][5510/11272] Time 0.718 (0.781) Data 0.002 (0.002) Loss 1.9178 (1.6891) Prec@1 49.375 (54.835) Prec@5 76.250 (83.764) Epoch: [69][5520/11272] Time 0.740 (0.781) Data 0.002 (0.002) Loss 1.8466 (1.6891) Prec@1 52.500 (54.834) Prec@5 81.875 (83.763) Epoch: [69][5530/11272] Time 0.870 (0.781) Data 0.001 (0.002) Loss 1.7788 (1.6892) Prec@1 55.000 (54.832) Prec@5 82.500 (83.761) Epoch: [69][5540/11272] Time 0.841 (0.781) Data 0.002 (0.002) Loss 1.7095 (1.6892) Prec@1 52.500 (54.831) Prec@5 81.875 (83.760) Epoch: [69][5550/11272] Time 0.718 (0.781) Data 0.002 (0.002) Loss 1.8148 (1.6894) Prec@1 51.250 (54.830) Prec@5 81.250 (83.759) Epoch: [69][5560/11272] Time 0.733 (0.781) Data 0.002 (0.002) Loss 1.6452 (1.6894) Prec@1 56.250 (54.830) Prec@5 86.250 (83.759) Epoch: [69][5570/11272] Time 0.901 (0.781) Data 0.001 (0.002) Loss 1.8430 (1.6895) Prec@1 54.375 (54.828) Prec@5 80.625 (83.757) Epoch: [69][5580/11272] Time 0.861 (0.781) Data 0.002 (0.002) Loss 1.3674 (1.6893) Prec@1 61.250 (54.832) Prec@5 91.875 (83.760) Epoch: [69][5590/11272] Time 0.719 (0.781) Data 0.002 (0.002) Loss 1.8214 (1.6893) Prec@1 51.250 (54.830) Prec@5 81.875 (83.760) Epoch: [69][5600/11272] Time 0.785 (0.781) Data 0.002 (0.002) Loss 2.0176 (1.6893) Prec@1 45.625 (54.829) Prec@5 78.750 (83.761) Epoch: [69][5610/11272] Time 0.878 (0.782) Data 0.002 (0.002) Loss 1.6133 (1.6892) Prec@1 55.625 (54.832) Prec@5 85.000 (83.761) Epoch: [69][5620/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.6539 (1.6892) Prec@1 52.500 (54.830) Prec@5 86.875 (83.760) Epoch: [69][5630/11272] Time 0.740 (0.782) Data 0.002 (0.002) Loss 1.5492 (1.6892) Prec@1 61.875 (54.829) Prec@5 85.000 (83.760) Epoch: [69][5640/11272] Time 0.866 (0.782) Data 0.002 (0.002) Loss 1.4728 (1.6891) Prec@1 57.500 (54.827) Prec@5 89.375 (83.763) Epoch: [69][5650/11272] Time 0.879 (0.782) Data 0.002 (0.002) Loss 1.7911 (1.6891) Prec@1 52.500 (54.827) Prec@5 83.750 (83.764) Epoch: [69][5660/11272] Time 0.762 (0.782) Data 0.001 (0.002) Loss 1.7165 (1.6891) Prec@1 51.875 (54.828) Prec@5 81.875 (83.766) Epoch: [69][5670/11272] Time 0.751 (0.782) Data 0.001 (0.002) Loss 1.6391 (1.6890) Prec@1 55.000 (54.829) Prec@5 85.625 (83.766) Epoch: [69][5680/11272] Time 0.869 (0.782) Data 0.001 (0.002) Loss 1.7312 (1.6892) Prec@1 51.250 (54.825) Prec@5 85.625 (83.765) Epoch: [69][5690/11272] Time 0.872 (0.782) Data 0.001 (0.002) Loss 1.8538 (1.6893) Prec@1 51.875 (54.824) Prec@5 81.250 (83.765) Epoch: [69][5700/11272] Time 0.748 (0.782) Data 0.001 (0.002) Loss 1.5620 (1.6893) Prec@1 55.625 (54.823) Prec@5 85.625 (83.763) Epoch: [69][5710/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.6324 (1.6893) Prec@1 55.625 (54.824) Prec@5 85.000 (83.764) Epoch: [69][5720/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.5987 (1.6891) Prec@1 55.000 (54.829) Prec@5 86.875 (83.768) Epoch: [69][5730/11272] Time 0.889 (0.782) Data 0.003 (0.002) Loss 1.6287 (1.6891) Prec@1 54.375 (54.826) Prec@5 90.000 (83.770) Epoch: [69][5740/11272] Time 0.698 (0.782) Data 0.001 (0.002) Loss 1.5645 (1.6891) Prec@1 56.250 (54.825) Prec@5 84.375 (83.769) Epoch: [69][5750/11272] Time 0.711 (0.782) Data 0.002 (0.002) Loss 1.4917 (1.6891) Prec@1 59.375 (54.825) Prec@5 88.125 (83.769) Epoch: [69][5760/11272] Time 0.873 (0.782) Data 0.002 (0.002) Loss 1.5427 (1.6889) Prec@1 56.875 (54.828) Prec@5 89.375 (83.770) Epoch: [69][5770/11272] Time 0.746 (0.782) Data 0.004 (0.002) Loss 1.4330 (1.6888) Prec@1 58.750 (54.833) Prec@5 88.125 (83.772) Epoch: [69][5780/11272] Time 0.736 (0.782) Data 0.002 (0.002) Loss 1.6513 (1.6887) Prec@1 55.625 (54.831) Prec@5 84.375 (83.774) Epoch: [69][5790/11272] Time 0.875 (0.782) Data 0.002 (0.002) Loss 1.5778 (1.6888) Prec@1 54.375 (54.829) Prec@5 87.500 (83.773) Epoch: [69][5800/11272] Time 0.842 (0.782) Data 0.001 (0.002) Loss 1.8651 (1.6889) Prec@1 47.500 (54.825) Prec@5 79.375 (83.771) Epoch: [69][5810/11272] Time 0.750 (0.782) Data 0.001 (0.002) Loss 1.8006 (1.6888) Prec@1 53.125 (54.826) Prec@5 85.000 (83.771) Epoch: [69][5820/11272] Time 0.720 (0.782) Data 0.002 (0.002) Loss 1.6891 (1.6889) Prec@1 54.375 (54.824) Prec@5 81.875 (83.770) Epoch: [69][5830/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.7911 (1.6890) Prec@1 52.500 (54.824) Prec@5 79.375 (83.769) Epoch: [69][5840/11272] Time 0.808 (0.782) Data 0.001 (0.002) Loss 1.4941 (1.6890) Prec@1 61.250 (54.824) Prec@5 88.125 (83.768) Epoch: [69][5850/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.7728 (1.6890) Prec@1 53.750 (54.824) Prec@5 82.500 (83.768) Epoch: [69][5860/11272] Time 0.732 (0.782) Data 0.002 (0.002) Loss 1.5783 (1.6889) Prec@1 62.500 (54.829) Prec@5 86.250 (83.768) Epoch: [69][5870/11272] Time 0.857 (0.782) Data 0.001 (0.002) Loss 1.6138 (1.6890) Prec@1 56.250 (54.828) Prec@5 88.750 (83.767) Epoch: [69][5880/11272] Time 0.878 (0.782) Data 0.002 (0.002) Loss 1.5012 (1.6889) Prec@1 56.875 (54.830) Prec@5 88.125 (83.770) Epoch: [69][5890/11272] Time 0.740 (0.782) Data 0.002 (0.002) Loss 1.7559 (1.6889) Prec@1 49.375 (54.831) Prec@5 81.875 (83.770) Epoch: [69][5900/11272] Time 0.824 (0.782) Data 0.001 (0.002) Loss 1.6463 (1.6889) Prec@1 54.375 (54.829) Prec@5 81.875 (83.769) Epoch: [69][5910/11272] Time 0.894 (0.782) Data 0.002 (0.002) Loss 1.7213 (1.6890) Prec@1 54.375 (54.828) Prec@5 82.500 (83.770) Epoch: [69][5920/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.7161 (1.6891) Prec@1 53.750 (54.824) Prec@5 83.125 (83.769) Epoch: [69][5930/11272] Time 0.786 (0.782) Data 0.002 (0.002) Loss 1.4715 (1.6892) Prec@1 55.000 (54.823) Prec@5 88.750 (83.766) Epoch: [69][5940/11272] Time 0.846 (0.782) Data 0.001 (0.002) Loss 1.8301 (1.6892) Prec@1 55.000 (54.823) Prec@5 78.750 (83.765) Epoch: [69][5950/11272] Time 0.858 (0.782) Data 0.001 (0.002) Loss 1.7142 (1.6892) Prec@1 54.375 (54.822) Prec@5 83.750 (83.767) Epoch: [69][5960/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.6870 (1.6891) Prec@1 59.375 (54.823) Prec@5 82.500 (83.769) Epoch: [69][5970/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.6070 (1.6891) Prec@1 56.875 (54.824) Prec@5 85.625 (83.769) Epoch: [69][5980/11272] Time 0.898 (0.782) Data 0.002 (0.002) Loss 1.8113 (1.6891) Prec@1 50.625 (54.822) Prec@5 82.500 (83.767) Epoch: [69][5990/11272] Time 0.890 (0.782) Data 0.001 (0.002) Loss 1.5861 (1.6892) Prec@1 55.625 (54.822) Prec@5 88.750 (83.768) Epoch: [69][6000/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 2.0593 (1.6893) Prec@1 51.250 (54.823) Prec@5 78.125 (83.769) Epoch: [69][6010/11272] Time 0.723 (0.782) Data 0.002 (0.002) Loss 1.8925 (1.6894) Prec@1 51.250 (54.820) Prec@5 80.000 (83.767) Epoch: [69][6020/11272] Time 0.860 (0.782) Data 0.002 (0.002) Loss 1.6122 (1.6893) Prec@1 60.000 (54.822) Prec@5 85.625 (83.768) Epoch: [69][6030/11272] Time 0.720 (0.782) Data 0.004 (0.002) Loss 2.2855 (1.6894) Prec@1 46.250 (54.823) Prec@5 70.625 (83.766) Epoch: [69][6040/11272] Time 0.743 (0.782) Data 0.002 (0.002) Loss 1.6096 (1.6893) Prec@1 53.125 (54.826) Prec@5 85.625 (83.766) Epoch: [69][6050/11272] Time 0.886 (0.782) Data 0.002 (0.002) Loss 1.8476 (1.6892) Prec@1 48.750 (54.826) Prec@5 82.500 (83.767) Epoch: [69][6060/11272] Time 0.813 (0.782) Data 0.002 (0.002) Loss 1.8230 (1.6893) Prec@1 49.375 (54.824) Prec@5 85.000 (83.767) Epoch: [69][6070/11272] Time 0.754 (0.782) Data 0.002 (0.002) Loss 1.5557 (1.6893) Prec@1 56.875 (54.821) Prec@5 86.875 (83.768) Epoch: [69][6080/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.5522 (1.6893) Prec@1 56.250 (54.820) Prec@5 85.625 (83.768) Epoch: [69][6090/11272] Time 0.854 (0.782) Data 0.001 (0.002) Loss 1.6781 (1.6893) Prec@1 53.750 (54.819) Prec@5 86.250 (83.769) Epoch: [69][6100/11272] Time 0.859 (0.782) Data 0.001 (0.002) Loss 1.6633 (1.6893) Prec@1 54.375 (54.818) Prec@5 83.750 (83.769) Epoch: [69][6110/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.7024 (1.6892) Prec@1 56.250 (54.822) Prec@5 82.500 (83.769) Epoch: [69][6120/11272] Time 0.738 (0.782) Data 0.002 (0.002) Loss 1.5670 (1.6892) Prec@1 56.250 (54.823) Prec@5 84.375 (83.769) Epoch: [69][6130/11272] Time 0.928 (0.783) Data 0.002 (0.002) Loss 1.5783 (1.6893) Prec@1 58.750 (54.823) Prec@5 85.000 (83.769) Epoch: [69][6140/11272] Time 0.842 (0.783) Data 0.002 (0.002) Loss 1.6325 (1.6893) Prec@1 56.875 (54.822) Prec@5 81.875 (83.769) Epoch: [69][6150/11272] Time 0.728 (0.783) Data 0.002 (0.002) Loss 1.7082 (1.6893) Prec@1 48.750 (54.819) Prec@5 83.125 (83.769) Epoch: [69][6160/11272] Time 0.885 (0.783) Data 0.002 (0.002) Loss 1.6345 (1.6894) Prec@1 55.625 (54.816) Prec@5 84.375 (83.767) Epoch: [69][6170/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.5092 (1.6894) Prec@1 61.875 (54.820) Prec@5 86.250 (83.768) Epoch: [69][6180/11272] Time 0.726 (0.783) Data 0.003 (0.002) Loss 1.6505 (1.6895) Prec@1 54.375 (54.818) Prec@5 84.375 (83.766) Epoch: [69][6190/11272] Time 0.723 (0.783) Data 0.002 (0.002) Loss 1.8085 (1.6896) Prec@1 51.250 (54.814) Prec@5 80.625 (83.765) Epoch: [69][6200/11272] Time 0.805 (0.783) Data 0.001 (0.002) Loss 1.7500 (1.6898) Prec@1 58.125 (54.811) Prec@5 81.875 (83.763) Epoch: [69][6210/11272] Time 0.908 (0.783) Data 0.005 (0.002) Loss 1.5862 (1.6897) Prec@1 56.875 (54.814) Prec@5 86.875 (83.764) Epoch: [69][6220/11272] Time 0.740 (0.783) Data 0.001 (0.002) Loss 1.7059 (1.6897) Prec@1 54.375 (54.814) Prec@5 85.625 (83.764) Epoch: [69][6230/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 1.5889 (1.6897) Prec@1 55.000 (54.813) Prec@5 83.125 (83.763) Epoch: [69][6240/11272] Time 0.827 (0.783) Data 0.001 (0.002) Loss 1.7505 (1.6898) Prec@1 54.375 (54.812) Prec@5 81.250 (83.760) Epoch: [69][6250/11272] Time 0.883 (0.783) Data 0.002 (0.002) Loss 1.4921 (1.6898) Prec@1 60.000 (54.813) Prec@5 84.375 (83.761) Epoch: [69][6260/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.6299 (1.6898) Prec@1 55.625 (54.813) Prec@5 83.125 (83.760) Epoch: [69][6270/11272] Time 0.699 (0.783) Data 0.001 (0.002) Loss 1.6010 (1.6898) Prec@1 53.125 (54.813) Prec@5 83.750 (83.760) Epoch: [69][6280/11272] Time 0.810 (0.783) Data 0.002 (0.002) Loss 1.6561 (1.6898) Prec@1 53.125 (54.814) Prec@5 81.250 (83.761) Epoch: [69][6290/11272] Time 0.850 (0.783) Data 0.002 (0.002) Loss 1.7332 (1.6897) Prec@1 45.625 (54.813) Prec@5 81.250 (83.761) Epoch: [69][6300/11272] Time 0.721 (0.783) Data 0.001 (0.002) Loss 1.5901 (1.6898) Prec@1 61.250 (54.810) Prec@5 87.500 (83.762) Epoch: [69][6310/11272] Time 0.854 (0.783) Data 0.001 (0.002) Loss 1.7597 (1.6898) Prec@1 58.750 (54.808) Prec@5 82.500 (83.761) Epoch: [69][6320/11272] Time 0.837 (0.783) Data 0.002 (0.002) Loss 1.8682 (1.6899) Prec@1 52.500 (54.806) Prec@5 80.000 (83.758) Epoch: [69][6330/11272] Time 0.729 (0.783) Data 0.002 (0.002) Loss 1.6961 (1.6899) Prec@1 52.500 (54.806) Prec@5 85.625 (83.757) Epoch: [69][6340/11272] Time 0.718 (0.783) Data 0.002 (0.002) Loss 1.6766 (1.6900) Prec@1 56.250 (54.804) Prec@5 85.000 (83.755) Epoch: [69][6350/11272] Time 0.876 (0.783) Data 0.002 (0.002) Loss 1.8080 (1.6900) Prec@1 50.625 (54.804) Prec@5 82.500 (83.754) Epoch: [69][6360/11272] Time 0.824 (0.783) Data 0.001 (0.002) Loss 1.6681 (1.6899) Prec@1 50.625 (54.804) Prec@5 85.000 (83.752) Epoch: [69][6370/11272] Time 0.730 (0.783) Data 0.001 (0.002) Loss 1.6437 (1.6900) Prec@1 55.000 (54.803) Prec@5 83.125 (83.753) Epoch: [69][6380/11272] Time 0.744 (0.783) Data 0.001 (0.002) Loss 1.7589 (1.6900) Prec@1 55.625 (54.803) Prec@5 83.750 (83.752) Epoch: [69][6390/11272] Time 0.857 (0.783) Data 0.002 (0.002) Loss 1.4820 (1.6900) Prec@1 61.250 (54.800) Prec@5 89.375 (83.750) Epoch: [69][6400/11272] Time 0.800 (0.783) Data 0.001 (0.002) Loss 1.7982 (1.6902) Prec@1 53.750 (54.798) Prec@5 79.375 (83.747) Epoch: [69][6410/11272] Time 0.745 (0.783) Data 0.002 (0.002) Loss 1.6077 (1.6902) Prec@1 58.125 (54.798) Prec@5 83.750 (83.746) Epoch: [69][6420/11272] Time 0.725 (0.783) Data 0.001 (0.002) Loss 1.7479 (1.6902) Prec@1 56.250 (54.799) Prec@5 82.500 (83.747) Epoch: [69][6430/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.6467 (1.6901) Prec@1 52.500 (54.800) Prec@5 83.125 (83.746) Epoch: [69][6440/11272] Time 0.723 (0.783) Data 0.001 (0.002) Loss 1.7594 (1.6900) Prec@1 51.875 (54.803) Prec@5 81.250 (83.750) Epoch: [69][6450/11272] Time 0.733 (0.783) Data 0.001 (0.002) Loss 1.7326 (1.6900) Prec@1 55.000 (54.802) Prec@5 83.125 (83.749) Epoch: [69][6460/11272] Time 0.837 (0.783) Data 0.001 (0.002) Loss 1.6801 (1.6899) Prec@1 55.000 (54.802) Prec@5 84.375 (83.749) Epoch: [69][6470/11272] Time 0.851 (0.783) Data 0.002 (0.002) Loss 1.7209 (1.6899) Prec@1 52.500 (54.802) Prec@5 86.875 (83.750) Epoch: [69][6480/11272] Time 0.761 (0.783) Data 0.001 (0.002) Loss 1.6881 (1.6899) Prec@1 51.875 (54.801) Prec@5 85.000 (83.751) Epoch: [69][6490/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 1.7412 (1.6900) Prec@1 52.500 (54.802) Prec@5 84.375 (83.752) Epoch: [69][6500/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.6989 (1.6900) Prec@1 55.625 (54.802) Prec@5 85.625 (83.753) Epoch: [69][6510/11272] Time 0.848 (0.783) Data 0.001 (0.002) Loss 1.5734 (1.6900) Prec@1 58.125 (54.800) Prec@5 83.125 (83.753) Epoch: [69][6520/11272] Time 0.714 (0.783) Data 0.001 (0.002) Loss 1.9054 (1.6900) Prec@1 50.625 (54.800) Prec@5 84.375 (83.753) Epoch: [69][6530/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.7599 (1.6901) Prec@1 53.750 (54.797) Prec@5 85.000 (83.750) Epoch: [69][6540/11272] Time 0.858 (0.783) Data 0.002 (0.002) Loss 1.7635 (1.6902) Prec@1 48.750 (54.792) Prec@5 81.875 (83.750) Epoch: [69][6550/11272] Time 0.960 (0.783) Data 0.002 (0.002) Loss 1.8933 (1.6903) Prec@1 51.875 (54.790) Prec@5 77.500 (83.747) Epoch: [69][6560/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 1.7245 (1.6903) Prec@1 57.500 (54.787) Prec@5 79.375 (83.748) Epoch: [69][6570/11272] Time 0.847 (0.783) Data 0.001 (0.002) Loss 1.6310 (1.6905) Prec@1 55.000 (54.781) Prec@5 84.375 (83.746) Epoch: [69][6580/11272] Time 0.821 (0.783) Data 0.001 (0.002) Loss 1.7748 (1.6905) Prec@1 56.875 (54.782) Prec@5 85.625 (83.747) Epoch: [69][6590/11272] Time 0.768 (0.783) Data 0.002 (0.002) Loss 1.8497 (1.6906) Prec@1 55.625 (54.780) Prec@5 80.000 (83.748) Epoch: [69][6600/11272] Time 0.728 (0.783) Data 0.002 (0.002) Loss 1.8878 (1.6907) Prec@1 50.625 (54.778) Prec@5 84.375 (83.745) Epoch: [69][6610/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.6819 (1.6908) Prec@1 53.750 (54.776) Prec@5 85.000 (83.744) Epoch: [69][6620/11272] Time 0.820 (0.783) Data 0.001 (0.002) Loss 1.6889 (1.6908) Prec@1 56.875 (54.774) Prec@5 81.250 (83.742) Epoch: [69][6630/11272] Time 0.779 (0.783) Data 0.001 (0.002) Loss 1.6147 (1.6908) Prec@1 60.000 (54.775) Prec@5 84.375 (83.743) Epoch: [69][6640/11272] Time 0.727 (0.783) Data 0.001 (0.002) Loss 1.6973 (1.6908) Prec@1 50.625 (54.775) Prec@5 85.000 (83.742) Epoch: [69][6650/11272] Time 0.856 (0.783) Data 0.002 (0.002) Loss 1.5366 (1.6908) Prec@1 58.125 (54.774) Prec@5 83.750 (83.741) Epoch: [69][6660/11272] Time 0.831 (0.783) Data 0.001 (0.002) Loss 1.8335 (1.6908) Prec@1 53.750 (54.772) Prec@5 82.500 (83.741) Epoch: [69][6670/11272] Time 0.711 (0.783) Data 0.001 (0.002) Loss 1.9948 (1.6909) Prec@1 50.000 (54.770) Prec@5 79.375 (83.738) Epoch: [69][6680/11272] Time 0.725 (0.783) Data 0.001 (0.002) Loss 1.7096 (1.6909) Prec@1 56.250 (54.771) Prec@5 85.000 (83.737) Epoch: [69][6690/11272] Time 0.825 (0.783) Data 0.001 (0.002) Loss 1.6741 (1.6909) Prec@1 51.875 (54.772) Prec@5 83.750 (83.738) Epoch: [69][6700/11272] Time 0.792 (0.783) Data 0.004 (0.002) Loss 1.6910 (1.6909) Prec@1 55.000 (54.771) Prec@5 86.250 (83.738) Epoch: [69][6710/11272] Time 0.752 (0.783) Data 0.002 (0.002) Loss 1.7331 (1.6909) Prec@1 53.125 (54.770) Prec@5 82.500 (83.737) Epoch: [69][6720/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.7097 (1.6910) Prec@1 56.250 (54.770) Prec@5 81.250 (83.736) Epoch: [69][6730/11272] Time 0.856 (0.783) Data 0.002 (0.002) Loss 1.4332 (1.6909) Prec@1 61.875 (54.769) Prec@5 88.750 (83.736) Epoch: [69][6740/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.8004 (1.6909) Prec@1 50.625 (54.770) Prec@5 82.500 (83.736) Epoch: [69][6750/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.8993 (1.6910) Prec@1 50.625 (54.769) Prec@5 81.250 (83.736) Epoch: [69][6760/11272] Time 0.902 (0.784) Data 0.002 (0.002) Loss 1.5605 (1.6910) Prec@1 56.250 (54.767) Prec@5 81.875 (83.736) Epoch: [69][6770/11272] Time 0.856 (0.784) Data 0.001 (0.002) Loss 1.7751 (1.6911) Prec@1 50.625 (54.765) Prec@5 86.875 (83.736) Epoch: [69][6780/11272] Time 0.748 (0.784) Data 0.002 (0.002) Loss 1.6923 (1.6910) Prec@1 53.750 (54.767) Prec@5 83.125 (83.737) Epoch: [69][6790/11272] Time 0.713 (0.784) Data 0.002 (0.002) Loss 1.7116 (1.6911) Prec@1 48.750 (54.768) Prec@5 86.875 (83.737) Epoch: [69][6800/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.7428 (1.6911) Prec@1 53.750 (54.766) Prec@5 83.125 (83.737) Epoch: [69][6810/11272] Time 0.795 (0.784) Data 0.001 (0.002) Loss 1.5037 (1.6911) Prec@1 61.250 (54.765) Prec@5 85.000 (83.738) Epoch: [69][6820/11272] Time 0.711 (0.784) Data 0.001 (0.002) Loss 1.5857 (1.6912) Prec@1 56.875 (54.765) Prec@5 84.375 (83.738) Epoch: [69][6830/11272] Time 0.881 (0.784) Data 0.002 (0.002) Loss 1.7390 (1.6913) Prec@1 53.750 (54.762) Prec@5 82.500 (83.737) Epoch: [69][6840/11272] Time 0.891 (0.784) Data 0.002 (0.002) Loss 1.8012 (1.6913) Prec@1 50.000 (54.760) Prec@5 86.250 (83.737) Epoch: [69][6850/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.7558 (1.6913) Prec@1 54.375 (54.760) Prec@5 85.000 (83.738) Epoch: [69][6860/11272] Time 0.724 (0.784) Data 0.001 (0.002) Loss 1.7532 (1.6912) Prec@1 53.750 (54.759) Prec@5 80.625 (83.738) Epoch: [69][6870/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.6398 (1.6912) Prec@1 54.375 (54.759) Prec@5 83.750 (83.738) Epoch: [69][6880/11272] Time 0.888 (0.784) Data 0.002 (0.002) Loss 2.0554 (1.6914) Prec@1 47.500 (54.755) Prec@5 76.250 (83.735) Epoch: [69][6890/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.9005 (1.6915) Prec@1 53.125 (54.753) Prec@5 81.250 (83.733) Epoch: [69][6900/11272] Time 0.721 (0.784) Data 0.002 (0.002) Loss 1.6800 (1.6915) Prec@1 54.375 (54.751) Prec@5 83.125 (83.732) Epoch: [69][6910/11272] Time 0.851 (0.784) Data 0.002 (0.002) Loss 1.5820 (1.6916) Prec@1 58.125 (54.750) Prec@5 85.625 (83.730) Epoch: [69][6920/11272] Time 0.861 (0.784) Data 0.002 (0.002) Loss 1.6685 (1.6917) Prec@1 56.875 (54.748) Prec@5 85.000 (83.728) Epoch: [69][6930/11272] Time 0.728 (0.784) Data 0.001 (0.002) Loss 1.7681 (1.6918) Prec@1 54.375 (54.747) Prec@5 85.625 (83.728) Epoch: [69][6940/11272] Time 0.743 (0.784) Data 0.002 (0.002) Loss 1.5412 (1.6917) Prec@1 58.750 (54.748) Prec@5 87.500 (83.731) Epoch: [69][6950/11272] Time 0.884 (0.784) Data 0.002 (0.002) Loss 1.7595 (1.6917) Prec@1 53.125 (54.747) Prec@5 84.375 (83.731) Epoch: [69][6960/11272] Time 0.785 (0.784) Data 0.003 (0.002) Loss 1.7512 (1.6916) Prec@1 55.625 (54.749) Prec@5 83.125 (83.732) Epoch: [69][6970/11272] Time 0.724 (0.784) Data 0.002 (0.002) Loss 1.5491 (1.6917) Prec@1 54.375 (54.746) Prec@5 86.875 (83.730) Epoch: [69][6980/11272] Time 0.884 (0.784) Data 0.001 (0.002) Loss 1.5525 (1.6917) Prec@1 55.625 (54.748) Prec@5 88.125 (83.731) Epoch: [69][6990/11272] Time 0.830 (0.784) Data 0.001 (0.002) Loss 1.7164 (1.6916) Prec@1 52.500 (54.749) Prec@5 84.375 (83.732) Epoch: [69][7000/11272] Time 0.724 (0.784) Data 0.001 (0.002) Loss 1.8491 (1.6916) Prec@1 49.375 (54.750) Prec@5 80.000 (83.732) Epoch: [69][7010/11272] Time 0.717 (0.784) Data 0.002 (0.002) Loss 1.6915 (1.6917) Prec@1 60.000 (54.746) Prec@5 80.625 (83.732) Epoch: [69][7020/11272] Time 0.980 (0.784) Data 0.001 (0.002) Loss 1.7447 (1.6917) Prec@1 55.625 (54.747) Prec@5 84.375 (83.732) Epoch: [69][7030/11272] Time 0.855 (0.784) Data 0.002 (0.002) Loss 1.5685 (1.6916) Prec@1 59.375 (54.747) Prec@5 85.000 (83.735) Epoch: [69][7040/11272] Time 0.743 (0.784) Data 0.002 (0.002) Loss 1.5070 (1.6916) Prec@1 62.500 (54.748) Prec@5 86.875 (83.736) Epoch: [69][7050/11272] Time 0.714 (0.784) Data 0.001 (0.002) Loss 1.8044 (1.6917) Prec@1 53.750 (54.749) Prec@5 80.000 (83.735) Epoch: [69][7060/11272] Time 0.847 (0.784) Data 0.002 (0.002) Loss 1.7785 (1.6918) Prec@1 50.625 (54.747) Prec@5 84.375 (83.734) Epoch: [69][7070/11272] Time 0.786 (0.784) Data 0.001 (0.002) Loss 1.6531 (1.6917) Prec@1 56.875 (54.748) Prec@5 83.750 (83.735) Epoch: [69][7080/11272] Time 0.731 (0.784) Data 0.001 (0.002) Loss 1.8306 (1.6918) Prec@1 51.250 (54.747) Prec@5 83.750 (83.735) Epoch: [69][7090/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.8040 (1.6918) Prec@1 52.500 (54.745) Prec@5 84.375 (83.734) Epoch: [69][7100/11272] Time 0.899 (0.784) Data 0.002 (0.002) Loss 1.6074 (1.6918) Prec@1 60.625 (54.745) Prec@5 86.250 (83.734) Epoch: [69][7110/11272] Time 0.703 (0.784) Data 0.001 (0.002) Loss 1.7956 (1.6918) Prec@1 53.125 (54.744) Prec@5 80.625 (83.733) Epoch: [69][7120/11272] Time 0.711 (0.784) Data 0.001 (0.002) Loss 1.7033 (1.6918) Prec@1 53.125 (54.744) Prec@5 80.000 (83.734) Epoch: [69][7130/11272] Time 0.820 (0.784) Data 0.001 (0.002) Loss 1.6750 (1.6918) Prec@1 58.125 (54.745) Prec@5 83.125 (83.733) Epoch: [69][7140/11272] Time 0.841 (0.784) Data 0.001 (0.002) Loss 1.7246 (1.6917) Prec@1 51.875 (54.745) Prec@5 84.375 (83.734) Epoch: [69][7150/11272] Time 0.765 (0.784) Data 0.002 (0.002) Loss 1.7375 (1.6918) Prec@1 53.750 (54.746) Prec@5 81.250 (83.734) Epoch: [69][7160/11272] Time 0.730 (0.784) Data 0.001 (0.002) Loss 1.7898 (1.6918) Prec@1 52.500 (54.747) Prec@5 81.875 (83.732) Epoch: [69][7170/11272] Time 0.876 (0.784) Data 0.002 (0.002) Loss 1.6897 (1.6919) Prec@1 55.625 (54.745) Prec@5 81.875 (83.730) Epoch: [69][7180/11272] Time 0.848 (0.784) Data 0.002 (0.002) Loss 1.7810 (1.6920) Prec@1 51.875 (54.744) Prec@5 85.625 (83.730) Epoch: [69][7190/11272] Time 0.725 (0.784) Data 0.002 (0.002) Loss 1.5532 (1.6919) Prec@1 54.375 (54.744) Prec@5 86.875 (83.733) Epoch: [69][7200/11272] Time 0.733 (0.784) Data 0.002 (0.002) Loss 1.6733 (1.6919) Prec@1 55.625 (54.743) Prec@5 84.375 (83.732) Epoch: [69][7210/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.7646 (1.6919) Prec@1 56.875 (54.746) Prec@5 81.875 (83.731) Epoch: [69][7220/11272] Time 0.829 (0.784) Data 0.002 (0.002) Loss 1.8343 (1.6919) Prec@1 51.875 (54.748) Prec@5 80.000 (83.731) Epoch: [69][7230/11272] Time 0.795 (0.784) Data 0.001 (0.002) Loss 1.5975 (1.6919) Prec@1 60.000 (54.749) Prec@5 86.250 (83.731) Epoch: [69][7240/11272] Time 0.875 (0.784) Data 0.002 (0.002) Loss 1.3746 (1.6918) Prec@1 56.250 (54.748) Prec@5 91.875 (83.732) Epoch: [69][7250/11272] Time 0.851 (0.784) Data 0.001 (0.002) Loss 1.7642 (1.6917) Prec@1 47.500 (54.750) Prec@5 85.000 (83.734) Epoch: [69][7260/11272] Time 0.778 (0.784) Data 0.002 (0.002) Loss 1.6266 (1.6918) Prec@1 56.250 (54.750) Prec@5 84.375 (83.733) Epoch: [69][7270/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.7321 (1.6919) Prec@1 60.000 (54.750) Prec@5 81.250 (83.732) Epoch: [69][7280/11272] Time 0.870 (0.784) Data 0.001 (0.002) Loss 1.6806 (1.6919) Prec@1 53.125 (54.750) Prec@5 81.875 (83.732) Epoch: [69][7290/11272] Time 0.862 (0.784) Data 0.001 (0.002) Loss 1.7459 (1.6919) Prec@1 51.875 (54.748) Prec@5 82.500 (83.730) Epoch: [69][7300/11272] Time 0.741 (0.784) Data 0.001 (0.002) Loss 1.5381 (1.6918) Prec@1 59.375 (54.752) Prec@5 86.250 (83.732) Epoch: [69][7310/11272] Time 0.724 (0.784) Data 0.002 (0.002) Loss 1.8730 (1.6919) Prec@1 51.250 (54.751) Prec@5 76.250 (83.730) Epoch: [69][7320/11272] Time 0.877 (0.785) Data 0.001 (0.002) Loss 1.7123 (1.6919) Prec@1 56.250 (54.750) Prec@5 85.000 (83.729) Epoch: [69][7330/11272] Time 0.831 (0.785) Data 0.001 (0.002) Loss 1.6855 (1.6919) Prec@1 56.250 (54.750) Prec@5 83.125 (83.728) Epoch: [69][7340/11272] Time 0.752 (0.784) Data 0.001 (0.002) Loss 1.6246 (1.6919) Prec@1 55.000 (54.751) Prec@5 85.000 (83.727) Epoch: [69][7350/11272] Time 0.722 (0.784) Data 0.001 (0.002) Loss 1.6202 (1.6919) Prec@1 54.375 (54.750) Prec@5 85.625 (83.729) Epoch: [69][7360/11272] Time 0.833 (0.784) Data 0.001 (0.002) Loss 1.6395 (1.6920) Prec@1 55.625 (54.749) Prec@5 82.500 (83.728) Epoch: [69][7370/11272] Time 0.745 (0.785) Data 0.001 (0.002) Loss 1.7622 (1.6919) Prec@1 50.000 (54.750) Prec@5 83.750 (83.728) Epoch: [69][7380/11272] Time 0.780 (0.785) Data 0.002 (0.002) Loss 1.6986 (1.6920) Prec@1 56.250 (54.752) Prec@5 85.000 (83.728) Epoch: [69][7390/11272] Time 0.876 (0.785) Data 0.002 (0.002) Loss 1.6616 (1.6920) Prec@1 53.750 (54.753) Prec@5 83.125 (83.728) Epoch: [69][7400/11272] Time 0.841 (0.785) Data 0.002 (0.002) Loss 1.7345 (1.6920) Prec@1 53.750 (54.755) Prec@5 83.125 (83.728) Epoch: [69][7410/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 1.6153 (1.6920) Prec@1 58.125 (54.754) Prec@5 83.125 (83.728) Epoch: [69][7420/11272] Time 0.750 (0.785) Data 0.002 (0.002) Loss 1.5569 (1.6919) Prec@1 56.250 (54.754) Prec@5 84.375 (83.729) Epoch: [69][7430/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.7945 (1.6920) Prec@1 54.375 (54.755) Prec@5 81.875 (83.729) Epoch: [69][7440/11272] Time 0.843 (0.785) Data 0.001 (0.002) Loss 1.5275 (1.6920) Prec@1 58.125 (54.753) Prec@5 85.625 (83.727) Epoch: [69][7450/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.6620 (1.6920) Prec@1 51.875 (54.753) Prec@5 86.875 (83.726) Epoch: [69][7460/11272] Time 0.758 (0.785) Data 0.001 (0.002) Loss 1.8052 (1.6921) Prec@1 57.500 (54.752) Prec@5 77.500 (83.725) Epoch: [69][7470/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.7966 (1.6922) Prec@1 49.375 (54.750) Prec@5 83.125 (83.722) Epoch: [69][7480/11272] Time 0.843 (0.785) Data 0.002 (0.002) Loss 1.6584 (1.6922) Prec@1 55.625 (54.750) Prec@5 85.000 (83.719) Epoch: [69][7490/11272] Time 0.737 (0.785) Data 0.004 (0.002) Loss 1.5878 (1.6922) Prec@1 59.375 (54.750) Prec@5 85.000 (83.719) Epoch: [69][7500/11272] Time 0.859 (0.785) Data 0.001 (0.002) Loss 1.9613 (1.6923) Prec@1 46.250 (54.749) Prec@5 81.875 (83.719) Epoch: [69][7510/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.9612 (1.6923) Prec@1 48.125 (54.747) Prec@5 77.500 (83.720) Epoch: [69][7520/11272] Time 0.709 (0.785) Data 0.001 (0.002) Loss 1.6270 (1.6924) Prec@1 57.500 (54.746) Prec@5 82.500 (83.718) Epoch: [69][7530/11272] Time 0.745 (0.785) Data 0.001 (0.002) Loss 1.8509 (1.6925) Prec@1 52.500 (54.742) Prec@5 80.625 (83.717) Epoch: [69][7540/11272] Time 0.858 (0.785) Data 0.002 (0.002) Loss 2.0153 (1.6925) Prec@1 45.625 (54.741) Prec@5 75.000 (83.717) Epoch: [69][7550/11272] Time 0.862 (0.785) Data 0.002 (0.002) Loss 1.5277 (1.6924) Prec@1 56.250 (54.741) Prec@5 86.875 (83.719) Epoch: [69][7560/11272] Time 0.730 (0.785) Data 0.002 (0.002) Loss 1.9064 (1.6923) Prec@1 53.125 (54.742) Prec@5 77.500 (83.719) Epoch: [69][7570/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 1.7614 (1.6922) Prec@1 53.750 (54.745) Prec@5 82.500 (83.719) Epoch: [69][7580/11272] Time 0.852 (0.785) Data 0.002 (0.002) Loss 1.7077 (1.6922) Prec@1 55.000 (54.745) Prec@5 81.875 (83.719) Epoch: [69][7590/11272] Time 0.841 (0.785) Data 0.001 (0.002) Loss 1.6816 (1.6922) Prec@1 55.000 (54.747) Prec@5 83.750 (83.719) Epoch: [69][7600/11272] Time 0.760 (0.785) Data 0.002 (0.002) Loss 1.7453 (1.6922) Prec@1 57.500 (54.746) Prec@5 79.375 (83.719) Epoch: [69][7610/11272] Time 0.716 (0.785) Data 0.002 (0.002) Loss 1.7122 (1.6923) Prec@1 51.875 (54.744) Prec@5 82.500 (83.718) Epoch: [69][7620/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.6085 (1.6923) Prec@1 58.125 (54.745) Prec@5 85.625 (83.718) Epoch: [69][7630/11272] Time 0.716 (0.785) Data 0.003 (0.002) Loss 1.5524 (1.6923) Prec@1 56.250 (54.745) Prec@5 86.875 (83.718) Epoch: [69][7640/11272] Time 0.731 (0.785) Data 0.001 (0.002) Loss 1.4877 (1.6922) Prec@1 55.000 (54.745) Prec@5 87.500 (83.720) Epoch: [69][7650/11272] Time 0.839 (0.785) Data 0.002 (0.002) Loss 1.6532 (1.6922) Prec@1 55.000 (54.745) Prec@5 85.625 (83.720) Epoch: [69][7660/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.8741 (1.6922) Prec@1 49.375 (54.744) Prec@5 79.375 (83.721) Epoch: [69][7670/11272] Time 0.763 (0.785) Data 0.002 (0.002) Loss 1.5402 (1.6921) Prec@1 55.625 (54.746) Prec@5 86.875 (83.722) Epoch: [69][7680/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.4979 (1.6923) Prec@1 56.250 (54.743) Prec@5 85.000 (83.720) Epoch: [69][7690/11272] Time 0.871 (0.785) Data 0.001 (0.002) Loss 1.7431 (1.6923) Prec@1 53.750 (54.742) Prec@5 81.875 (83.718) Epoch: [69][7700/11272] Time 0.794 (0.785) Data 0.001 (0.002) Loss 1.6349 (1.6924) Prec@1 56.250 (54.740) Prec@5 86.875 (83.718) Epoch: [69][7710/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.7306 (1.6924) Prec@1 53.750 (54.738) Prec@5 86.250 (83.718) Epoch: [69][7720/11272] Time 0.739 (0.785) Data 0.001 (0.002) Loss 1.5445 (1.6922) Prec@1 60.000 (54.740) Prec@5 86.875 (83.720) Epoch: [69][7730/11272] Time 0.853 (0.785) Data 0.001 (0.002) Loss 1.6213 (1.6923) Prec@1 55.000 (54.739) Prec@5 83.750 (83.718) Epoch: [69][7740/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.8748 (1.6922) Prec@1 47.500 (54.741) Prec@5 78.750 (83.719) Epoch: [69][7750/11272] Time 0.762 (0.785) Data 0.002 (0.002) Loss 1.7991 (1.6923) Prec@1 56.875 (54.739) Prec@5 79.375 (83.718) Epoch: [69][7760/11272] Time 0.859 (0.785) Data 0.002 (0.002) Loss 1.5697 (1.6922) Prec@1 55.000 (54.741) Prec@5 87.500 (83.718) Epoch: [69][7770/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.6596 (1.6922) Prec@1 53.750 (54.739) Prec@5 85.000 (83.720) Epoch: [69][7780/11272] Time 0.758 (0.785) Data 0.002 (0.002) Loss 1.6063 (1.6923) Prec@1 54.375 (54.738) Prec@5 87.500 (83.720) Epoch: [69][7790/11272] Time 0.744 (0.785) Data 0.004 (0.002) Loss 1.8249 (1.6923) Prec@1 53.125 (54.735) Prec@5 81.875 (83.718) Epoch: [69][7800/11272] Time 0.876 (0.785) Data 0.001 (0.002) Loss 1.7982 (1.6924) Prec@1 53.125 (54.735) Prec@5 80.625 (83.717) Epoch: [69][7810/11272] Time 0.839 (0.785) Data 0.001 (0.002) Loss 1.4871 (1.6924) Prec@1 61.875 (54.736) Prec@5 87.500 (83.717) Epoch: [69][7820/11272] Time 0.761 (0.785) Data 0.002 (0.002) Loss 1.5683 (1.6923) Prec@1 56.250 (54.739) Prec@5 85.000 (83.717) Epoch: [69][7830/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.6642 (1.6923) Prec@1 55.625 (54.740) Prec@5 85.625 (83.718) Epoch: [69][7840/11272] Time 0.864 (0.785) Data 0.001 (0.002) Loss 1.6564 (1.6923) Prec@1 56.250 (54.739) Prec@5 81.875 (83.717) Epoch: [69][7850/11272] Time 0.831 (0.785) Data 0.001 (0.002) Loss 1.6398 (1.6923) Prec@1 56.875 (54.739) Prec@5 85.000 (83.717) Epoch: [69][7860/11272] Time 0.717 (0.785) Data 0.002 (0.002) Loss 1.5320 (1.6924) Prec@1 58.750 (54.738) Prec@5 87.500 (83.714) Epoch: [69][7870/11272] Time 0.775 (0.785) Data 0.002 (0.002) Loss 1.7027 (1.6923) Prec@1 58.125 (54.739) Prec@5 83.750 (83.715) Epoch: [69][7880/11272] Time 0.852 (0.785) Data 0.002 (0.002) Loss 1.7190 (1.6923) Prec@1 52.500 (54.740) Prec@5 82.500 (83.715) Epoch: [69][7890/11272] Time 0.722 (0.785) Data 0.003 (0.002) Loss 1.5841 (1.6923) Prec@1 56.250 (54.740) Prec@5 85.625 (83.715) Epoch: [69][7900/11272] Time 0.768 (0.785) Data 0.002 (0.002) Loss 1.7548 (1.6924) Prec@1 51.875 (54.740) Prec@5 80.625 (83.712) Epoch: [69][7910/11272] Time 0.874 (0.785) Data 0.002 (0.002) Loss 1.5728 (1.6924) Prec@1 58.125 (54.740) Prec@5 84.375 (83.713) Epoch: [69][7920/11272] Time 0.886 (0.785) Data 0.002 (0.002) Loss 1.6199 (1.6924) Prec@1 57.500 (54.738) Prec@5 86.250 (83.713) Epoch: [69][7930/11272] Time 0.708 (0.785) Data 0.001 (0.002) Loss 1.9236 (1.6925) Prec@1 49.375 (54.739) Prec@5 81.875 (83.711) Epoch: [69][7940/11272] Time 0.731 (0.785) Data 0.002 (0.002) Loss 1.5312 (1.6924) Prec@1 55.625 (54.740) Prec@5 85.625 (83.713) Epoch: [69][7950/11272] Time 0.865 (0.785) Data 0.002 (0.002) Loss 1.7212 (1.6925) Prec@1 50.625 (54.738) Prec@5 81.875 (83.713) Epoch: [69][7960/11272] Time 0.869 (0.785) Data 0.002 (0.002) Loss 1.4999 (1.6924) Prec@1 58.125 (54.739) Prec@5 84.375 (83.715) Epoch: [69][7970/11272] Time 0.734 (0.785) Data 0.001 (0.002) Loss 1.7304 (1.6923) Prec@1 56.250 (54.739) Prec@5 82.500 (83.717) Epoch: [69][7980/11272] Time 0.717 (0.785) Data 0.002 (0.002) Loss 1.5652 (1.6923) Prec@1 58.750 (54.740) Prec@5 83.750 (83.715) Epoch: [69][7990/11272] Time 0.855 (0.785) Data 0.001 (0.002) Loss 1.7496 (1.6924) Prec@1 51.250 (54.739) Prec@5 80.625 (83.714) Epoch: [69][8000/11272] Time 0.816 (0.785) Data 0.001 (0.002) Loss 1.5268 (1.6923) Prec@1 55.625 (54.740) Prec@5 88.125 (83.715) Epoch: [69][8010/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.8269 (1.6923) Prec@1 55.625 (54.742) Prec@5 80.625 (83.715) Epoch: [69][8020/11272] Time 0.861 (0.785) Data 0.001 (0.002) Loss 1.5468 (1.6922) Prec@1 58.125 (54.743) Prec@5 85.000 (83.716) Epoch: [69][8030/11272] Time 0.854 (0.785) Data 0.002 (0.002) Loss 1.8458 (1.6923) Prec@1 50.625 (54.743) Prec@5 82.500 (83.716) Epoch: [69][8040/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.9566 (1.6923) Prec@1 52.500 (54.745) Prec@5 78.750 (83.714) Epoch: [69][8050/11272] Time 0.711 (0.785) Data 0.001 (0.002) Loss 1.6531 (1.6924) Prec@1 56.250 (54.746) Prec@5 83.125 (83.713) Epoch: [69][8060/11272] Time 0.897 (0.785) Data 0.002 (0.002) Loss 1.8613 (1.6924) Prec@1 50.625 (54.746) Prec@5 82.500 (83.713) Epoch: [69][8070/11272] Time 0.837 (0.785) Data 0.001 (0.002) Loss 1.7279 (1.6924) Prec@1 51.875 (54.746) Prec@5 85.000 (83.713) Epoch: [69][8080/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.9409 (1.6924) Prec@1 44.375 (54.744) Prec@5 80.625 (83.713) Epoch: [69][8090/11272] Time 0.722 (0.785) Data 0.001 (0.002) Loss 1.9391 (1.6924) Prec@1 50.000 (54.743) Prec@5 78.125 (83.712) Epoch: [69][8100/11272] Time 0.868 (0.786) Data 0.001 (0.002) Loss 1.5523 (1.6924) Prec@1 58.750 (54.746) Prec@5 85.000 (83.712) Epoch: [69][8110/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.3618 (1.6924) Prec@1 61.250 (54.746) Prec@5 90.625 (83.713) Epoch: [69][8120/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.7285 (1.6924) Prec@1 55.625 (54.746) Prec@5 83.125 (83.713) Epoch: [69][8130/11272] Time 0.721 (0.786) Data 0.002 (0.002) Loss 1.7605 (1.6925) Prec@1 56.875 (54.745) Prec@5 82.500 (83.710) Epoch: [69][8140/11272] Time 0.872 (0.786) Data 0.001 (0.002) Loss 1.6494 (1.6925) Prec@1 53.750 (54.745) Prec@5 85.000 (83.710) Epoch: [69][8150/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.7016 (1.6926) Prec@1 56.875 (54.744) Prec@5 86.250 (83.709) Epoch: [69][8160/11272] Time 0.722 (0.786) Data 0.002 (0.002) Loss 1.7105 (1.6926) Prec@1 55.000 (54.746) Prec@5 81.875 (83.709) Epoch: [69][8170/11272] Time 0.913 (0.786) Data 0.002 (0.002) Loss 1.6031 (1.6926) Prec@1 56.875 (54.746) Prec@5 83.125 (83.708) Epoch: [69][8180/11272] Time 0.837 (0.786) Data 0.001 (0.002) Loss 1.7733 (1.6926) Prec@1 51.250 (54.747) Prec@5 86.250 (83.709) Epoch: [69][8190/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.6452 (1.6926) Prec@1 51.250 (54.747) Prec@5 83.750 (83.708) Epoch: [69][8200/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.8113 (1.6927) Prec@1 54.375 (54.743) Prec@5 80.625 (83.705) Epoch: [69][8210/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.6027 (1.6927) Prec@1 53.750 (54.745) Prec@5 84.375 (83.705) Epoch: [69][8220/11272] Time 0.807 (0.786) Data 0.002 (0.002) Loss 1.6104 (1.6927) Prec@1 53.750 (54.746) Prec@5 86.250 (83.705) Epoch: [69][8230/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.7849 (1.6927) Prec@1 53.750 (54.745) Prec@5 80.625 (83.704) Epoch: [69][8240/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 1.8089 (1.6928) Prec@1 55.000 (54.747) Prec@5 80.625 (83.703) Epoch: [69][8250/11272] Time 0.855 (0.786) Data 0.001 (0.002) Loss 1.7583 (1.6928) Prec@1 53.750 (54.745) Prec@5 79.375 (83.702) Epoch: [69][8260/11272] Time 0.873 (0.786) Data 0.002 (0.002) Loss 1.7312 (1.6928) Prec@1 55.625 (54.744) Prec@5 83.750 (83.702) Epoch: [69][8270/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.9235 (1.6928) Prec@1 47.500 (54.745) Prec@5 78.750 (83.702) Epoch: [69][8280/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.6954 (1.6928) Prec@1 55.000 (54.747) Prec@5 84.375 (83.702) Epoch: [69][8290/11272] Time 0.842 (0.786) Data 0.001 (0.002) Loss 1.7435 (1.6928) Prec@1 52.500 (54.746) Prec@5 83.125 (83.702) Epoch: [69][8300/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 1.5405 (1.6928) Prec@1 55.625 (54.747) Prec@5 86.875 (83.701) Epoch: [69][8310/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.6160 (1.6928) Prec@1 55.000 (54.747) Prec@5 86.250 (83.701) Epoch: [69][8320/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.5988 (1.6928) Prec@1 56.250 (54.747) Prec@5 84.375 (83.702) Epoch: [69][8330/11272] Time 0.978 (0.786) Data 0.002 (0.002) Loss 1.8949 (1.6928) Prec@1 49.375 (54.746) Prec@5 79.375 (83.702) Epoch: [69][8340/11272] Time 0.723 (0.786) Data 0.002 (0.002) Loss 1.4671 (1.6927) Prec@1 61.875 (54.749) Prec@5 89.375 (83.704) Epoch: [69][8350/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.8718 (1.6928) Prec@1 48.125 (54.745) Prec@5 80.625 (83.704) Epoch: [69][8360/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.5708 (1.6927) Prec@1 59.375 (54.748) Prec@5 84.375 (83.705) Epoch: [69][8370/11272] Time 0.851 (0.786) Data 0.002 (0.002) Loss 1.5981 (1.6927) Prec@1 56.875 (54.749) Prec@5 82.500 (83.704) Epoch: [69][8380/11272] Time 0.760 (0.786) Data 0.002 (0.002) Loss 1.6882 (1.6928) Prec@1 53.750 (54.749) Prec@5 85.000 (83.704) Epoch: [69][8390/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 1.9109 (1.6928) Prec@1 53.750 (54.749) Prec@5 77.500 (83.703) Epoch: [69][8400/11272] Time 0.875 (0.786) Data 0.002 (0.002) Loss 1.8722 (1.6929) Prec@1 51.875 (54.748) Prec@5 84.375 (83.702) Epoch: [69][8410/11272] Time 0.840 (0.786) Data 0.001 (0.002) Loss 2.0234 (1.6930) Prec@1 50.625 (54.746) Prec@5 79.375 (83.700) Epoch: [69][8420/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.5740 (1.6930) Prec@1 56.875 (54.745) Prec@5 85.625 (83.700) Epoch: [69][8430/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.5591 (1.6929) Prec@1 54.375 (54.746) Prec@5 86.250 (83.699) Epoch: [69][8440/11272] Time 0.929 (0.786) Data 0.001 (0.002) Loss 1.5323 (1.6930) Prec@1 61.250 (54.745) Prec@5 82.500 (83.697) Epoch: [69][8450/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.5903 (1.6930) Prec@1 63.125 (54.745) Prec@5 86.250 (83.697) Epoch: [69][8460/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.5229 (1.6930) Prec@1 56.250 (54.745) Prec@5 88.125 (83.698) Epoch: [69][8470/11272] Time 0.858 (0.786) Data 0.002 (0.002) Loss 1.6535 (1.6930) Prec@1 56.875 (54.744) Prec@5 82.500 (83.698) Epoch: [69][8480/11272] Time 0.864 (0.786) Data 0.001 (0.002) Loss 1.6913 (1.6930) Prec@1 53.750 (54.744) Prec@5 85.625 (83.699) Epoch: [69][8490/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.8108 (1.6930) Prec@1 52.500 (54.744) Prec@5 78.750 (83.699) Epoch: [69][8500/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.7164 (1.6931) Prec@1 55.000 (54.743) Prec@5 85.625 (83.698) Epoch: [69][8510/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.6289 (1.6930) Prec@1 55.625 (54.744) Prec@5 86.250 (83.699) Epoch: [69][8520/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.6207 (1.6930) Prec@1 56.250 (54.744) Prec@5 86.875 (83.699) Epoch: [69][8530/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 1.9442 (1.6931) Prec@1 51.875 (54.743) Prec@5 85.000 (83.699) Epoch: [69][8540/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.7319 (1.6931) Prec@1 49.375 (54.743) Prec@5 85.000 (83.698) Epoch: [69][8550/11272] Time 0.909 (0.786) Data 0.002 (0.002) Loss 1.7510 (1.6931) Prec@1 56.875 (54.745) Prec@5 84.375 (83.698) Epoch: [69][8560/11272] Time 0.748 (0.786) Data 0.004 (0.002) Loss 1.4485 (1.6931) Prec@1 61.875 (54.745) Prec@5 85.625 (83.698) Epoch: [69][8570/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.7760 (1.6930) Prec@1 55.000 (54.746) Prec@5 82.500 (83.698) Epoch: [69][8580/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 1.7859 (1.6931) Prec@1 55.000 (54.745) Prec@5 81.250 (83.697) Epoch: [69][8590/11272] Time 0.853 (0.786) Data 0.001 (0.002) Loss 1.4909 (1.6930) Prec@1 57.500 (54.746) Prec@5 88.750 (83.699) Epoch: [69][8600/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 1.4026 (1.6929) Prec@1 63.125 (54.747) Prec@5 89.375 (83.701) Epoch: [69][8610/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6125 (1.6930) Prec@1 56.250 (54.746) Prec@5 85.000 (83.700) Epoch: [69][8620/11272] Time 0.891 (0.786) Data 0.002 (0.002) Loss 1.6171 (1.6930) Prec@1 58.125 (54.746) Prec@5 86.875 (83.699) Epoch: [69][8630/11272] Time 0.866 (0.786) Data 0.001 (0.002) Loss 1.5401 (1.6929) Prec@1 56.875 (54.750) Prec@5 86.875 (83.700) Epoch: [69][8640/11272] Time 0.759 (0.786) Data 0.002 (0.002) Loss 1.9767 (1.6930) Prec@1 51.875 (54.748) Prec@5 80.000 (83.700) Epoch: [69][8650/11272] Time 0.755 (0.786) Data 0.002 (0.002) Loss 1.7801 (1.6930) Prec@1 54.375 (54.747) Prec@5 81.250 (83.699) Epoch: [69][8660/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.5010 (1.6930) Prec@1 56.250 (54.749) Prec@5 86.250 (83.700) Epoch: [69][8670/11272] Time 0.930 (0.786) Data 0.001 (0.002) Loss 1.4584 (1.6930) Prec@1 57.500 (54.750) Prec@5 88.750 (83.701) Epoch: [69][8680/11272] Time 0.791 (0.786) Data 0.001 (0.002) Loss 1.7633 (1.6930) Prec@1 53.750 (54.749) Prec@5 85.000 (83.700) Epoch: [69][8690/11272] Time 0.850 (0.786) Data 0.001 (0.002) Loss 1.9204 (1.6931) Prec@1 46.875 (54.748) Prec@5 81.250 (83.700) Epoch: [69][8700/11272] Time 0.885 (0.786) Data 0.002 (0.002) Loss 1.7780 (1.6932) Prec@1 55.625 (54.744) Prec@5 79.375 (83.699) Epoch: [69][8710/11272] Time 0.774 (0.786) Data 0.002 (0.002) Loss 1.7023 (1.6932) Prec@1 50.625 (54.741) Prec@5 85.625 (83.698) Epoch: [69][8720/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.5955 (1.6933) Prec@1 55.000 (54.742) Prec@5 85.000 (83.697) Epoch: [69][8730/11272] Time 0.882 (0.786) Data 0.002 (0.002) Loss 1.9535 (1.6934) Prec@1 48.125 (54.739) Prec@5 77.500 (83.694) Epoch: [69][8740/11272] Time 0.868 (0.786) Data 0.002 (0.002) Loss 1.7321 (1.6934) Prec@1 56.250 (54.738) Prec@5 85.000 (83.693) Epoch: [69][8750/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.6205 (1.6934) Prec@1 54.375 (54.737) Prec@5 85.000 (83.694) Epoch: [69][8760/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.9601 (1.6934) Prec@1 48.750 (54.738) Prec@5 81.250 (83.694) Epoch: [69][8770/11272] Time 0.892 (0.786) Data 0.002 (0.002) Loss 1.8580 (1.6935) Prec@1 51.875 (54.735) Prec@5 81.875 (83.691) Epoch: [69][8780/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.6673 (1.6935) Prec@1 55.000 (54.735) Prec@5 81.875 (83.689) Epoch: [69][8790/11272] Time 0.758 (0.786) Data 0.001 (0.002) Loss 1.6424 (1.6935) Prec@1 59.375 (54.738) Prec@5 85.625 (83.690) Epoch: [69][8800/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.6398 (1.6934) Prec@1 55.000 (54.739) Prec@5 85.625 (83.689) Epoch: [69][8810/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 1.5219 (1.6934) Prec@1 56.875 (54.739) Prec@5 85.625 (83.689) Epoch: [69][8820/11272] Time 0.724 (0.786) Data 0.003 (0.002) Loss 1.4910 (1.6935) Prec@1 63.125 (54.737) Prec@5 86.250 (83.688) Epoch: [69][8830/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6386 (1.6935) Prec@1 56.250 (54.737) Prec@5 83.750 (83.686) Epoch: [69][8840/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.5351 (1.6935) Prec@1 57.500 (54.738) Prec@5 88.750 (83.687) Epoch: [69][8850/11272] Time 0.807 (0.786) Data 0.001 (0.002) Loss 1.5570 (1.6934) Prec@1 56.250 (54.740) Prec@5 85.000 (83.687) Epoch: [69][8860/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.6051 (1.6934) Prec@1 58.125 (54.741) Prec@5 84.375 (83.686) Epoch: [69][8870/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.7203 (1.6934) Prec@1 53.750 (54.740) Prec@5 82.500 (83.687) Epoch: [69][8880/11272] Time 0.881 (0.786) Data 0.002 (0.002) Loss 1.9614 (1.6935) Prec@1 46.875 (54.738) Prec@5 79.375 (83.686) Epoch: [69][8890/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 1.8677 (1.6936) Prec@1 54.375 (54.737) Prec@5 83.750 (83.684) Epoch: [69][8900/11272] Time 0.730 (0.786) Data 0.002 (0.002) Loss 1.8028 (1.6936) Prec@1 51.250 (54.738) Prec@5 80.625 (83.684) Epoch: [69][8910/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.8596 (1.6937) Prec@1 49.375 (54.734) Prec@5 83.750 (83.683) Epoch: [69][8920/11272] Time 0.804 (0.786) Data 0.001 (0.002) Loss 1.7197 (1.6936) Prec@1 52.500 (54.734) Prec@5 85.000 (83.684) Epoch: [69][8930/11272] Time 0.879 (0.786) Data 0.002 (0.002) Loss 1.5777 (1.6936) Prec@1 58.125 (54.736) Prec@5 86.250 (83.684) Epoch: [69][8940/11272] Time 0.746 (0.786) Data 0.001 (0.002) Loss 1.8691 (1.6936) Prec@1 46.250 (54.736) Prec@5 77.500 (83.683) Epoch: [69][8950/11272] Time 0.957 (0.787) Data 0.002 (0.002) Loss 1.7574 (1.6936) Prec@1 53.750 (54.736) Prec@5 82.500 (83.683) Epoch: [69][8960/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.6966 (1.6937) Prec@1 57.500 (54.735) Prec@5 83.125 (83.681) Epoch: [69][8970/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.6054 (1.6937) Prec@1 55.625 (54.731) Prec@5 85.625 (83.680) Epoch: [69][8980/11272] Time 0.776 (0.787) Data 0.001 (0.002) Loss 1.8786 (1.6937) Prec@1 56.250 (54.731) Prec@5 81.250 (83.679) Epoch: [69][8990/11272] Time 0.864 (0.787) Data 0.001 (0.002) Loss 1.4638 (1.6937) Prec@1 61.250 (54.730) Prec@5 87.500 (83.679) Epoch: [69][9000/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 1.5861 (1.6937) Prec@1 56.250 (54.730) Prec@5 85.000 (83.678) Epoch: [69][9010/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.6889 (1.6939) Prec@1 54.375 (54.727) Prec@5 81.875 (83.675) Epoch: [69][9020/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.5986 (1.6939) Prec@1 56.250 (54.726) Prec@5 83.750 (83.675) Epoch: [69][9030/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.7314 (1.6940) Prec@1 54.375 (54.724) Prec@5 83.750 (83.674) Epoch: [69][9040/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 2.0687 (1.6940) Prec@1 44.375 (54.724) Prec@5 75.625 (83.674) Epoch: [69][9050/11272] Time 0.795 (0.787) Data 0.002 (0.002) Loss 1.7648 (1.6940) Prec@1 56.250 (54.724) Prec@5 84.375 (83.673) Epoch: [69][9060/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.5586 (1.6940) Prec@1 57.500 (54.720) Prec@5 86.875 (83.673) Epoch: [69][9070/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.5998 (1.6940) Prec@1 55.000 (54.722) Prec@5 86.875 (83.674) Epoch: [69][9080/11272] Time 0.817 (0.787) Data 0.002 (0.002) Loss 1.7863 (1.6940) Prec@1 55.625 (54.720) Prec@5 81.250 (83.674) Epoch: [69][9090/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.5566 (1.6940) Prec@1 53.750 (54.720) Prec@5 83.125 (83.674) Epoch: [69][9100/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.4935 (1.6940) Prec@1 63.125 (54.720) Prec@5 88.125 (83.675) Epoch: [69][9110/11272] Time 0.797 (0.787) Data 0.001 (0.002) Loss 1.4332 (1.6940) Prec@1 63.125 (54.721) Prec@5 85.625 (83.676) Epoch: [69][9120/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.7058 (1.6940) Prec@1 56.250 (54.722) Prec@5 80.000 (83.675) Epoch: [69][9130/11272] Time 0.729 (0.787) Data 0.002 (0.002) Loss 1.8914 (1.6940) Prec@1 46.250 (54.723) Prec@5 80.000 (83.675) Epoch: [69][9140/11272] Time 0.885 (0.787) Data 0.001 (0.002) Loss 1.5911 (1.6940) Prec@1 59.375 (54.722) Prec@5 86.875 (83.674) Epoch: [69][9150/11272] Time 0.879 (0.787) Data 0.001 (0.002) Loss 1.7051 (1.6939) Prec@1 58.750 (54.723) Prec@5 81.875 (83.675) Epoch: [69][9160/11272] Time 0.704 (0.787) Data 0.001 (0.002) Loss 1.9162 (1.6940) Prec@1 50.000 (54.722) Prec@5 80.000 (83.673) Epoch: [69][9170/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 1.5515 (1.6940) Prec@1 61.875 (54.722) Prec@5 88.750 (83.673) Epoch: [69][9180/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.6522 (1.6940) Prec@1 56.250 (54.722) Prec@5 83.750 (83.672) Epoch: [69][9190/11272] Time 0.844 (0.787) Data 0.002 (0.002) Loss 1.7224 (1.6941) Prec@1 54.375 (54.721) Prec@5 81.250 (83.672) Epoch: [69][9200/11272] Time 0.718 (0.787) Data 0.002 (0.002) Loss 1.6978 (1.6940) Prec@1 56.875 (54.721) Prec@5 83.125 (83.673) Epoch: [69][9210/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.8524 (1.6940) Prec@1 50.000 (54.721) Prec@5 78.750 (83.672) Epoch: [69][9220/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.6092 (1.6941) Prec@1 58.125 (54.720) Prec@5 85.000 (83.671) Epoch: [69][9230/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.9285 (1.6941) Prec@1 49.375 (54.720) Prec@5 81.875 (83.671) Epoch: [69][9240/11272] Time 0.703 (0.787) Data 0.001 (0.002) Loss 1.5714 (1.6940) Prec@1 56.875 (54.720) Prec@5 85.625 (83.672) Epoch: [69][9250/11272] Time 0.873 (0.787) Data 0.001 (0.002) Loss 1.7360 (1.6940) Prec@1 54.375 (54.721) Prec@5 86.250 (83.673) Epoch: [69][9260/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.5781 (1.6940) Prec@1 61.250 (54.722) Prec@5 85.625 (83.674) Epoch: [69][9270/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 1.7690 (1.6940) Prec@1 60.625 (54.722) Prec@5 82.500 (83.673) Epoch: [69][9280/11272] Time 0.744 (0.787) Data 0.001 (0.002) Loss 1.8408 (1.6941) Prec@1 52.500 (54.719) Prec@5 80.000 (83.671) Epoch: [69][9290/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.5042 (1.6941) Prec@1 58.125 (54.719) Prec@5 85.625 (83.673) Epoch: [69][9300/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.3859 (1.6941) Prec@1 60.625 (54.718) Prec@5 86.875 (83.672) Epoch: [69][9310/11272] Time 0.739 (0.787) Data 0.002 (0.002) Loss 1.5203 (1.6941) Prec@1 60.000 (54.721) Prec@5 87.500 (83.673) Epoch: [69][9320/11272] Time 0.694 (0.787) Data 0.001 (0.002) Loss 1.7276 (1.6942) Prec@1 55.625 (54.717) Prec@5 84.375 (83.672) Epoch: [69][9330/11272] Time 0.879 (0.787) Data 0.002 (0.002) Loss 1.6164 (1.6942) Prec@1 56.875 (54.716) Prec@5 86.875 (83.674) Epoch: [69][9340/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 1.5945 (1.6941) Prec@1 58.125 (54.718) Prec@5 85.625 (83.675) Epoch: [69][9350/11272] Time 0.710 (0.787) Data 0.002 (0.002) Loss 1.7592 (1.6941) Prec@1 55.000 (54.718) Prec@5 83.750 (83.674) Epoch: [69][9360/11272] Time 0.865 (0.787) Data 0.001 (0.002) Loss 1.8788 (1.6942) Prec@1 45.000 (54.717) Prec@5 81.875 (83.674) Epoch: [69][9370/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.6080 (1.6943) Prec@1 57.500 (54.715) Prec@5 84.375 (83.672) Epoch: [69][9380/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 1.6430 (1.6943) Prec@1 52.500 (54.715) Prec@5 90.000 (83.671) Epoch: [69][9390/11272] Time 0.714 (0.787) Data 0.002 (0.002) Loss 1.7612 (1.6943) Prec@1 55.000 (54.714) Prec@5 85.625 (83.670) Epoch: [69][9400/11272] Time 0.852 (0.787) Data 0.002 (0.002) Loss 1.8006 (1.6943) Prec@1 53.125 (54.714) Prec@5 81.875 (83.671) Epoch: [69][9410/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.7802 (1.6943) Prec@1 53.750 (54.712) Prec@5 82.500 (83.671) Epoch: [69][9420/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 2.0467 (1.6944) Prec@1 47.500 (54.710) Prec@5 81.875 (83.670) Epoch: [69][9430/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.6070 (1.6944) Prec@1 56.875 (54.711) Prec@5 84.375 (83.670) Epoch: [69][9440/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.9779 (1.6944) Prec@1 46.250 (54.710) Prec@5 78.125 (83.670) Epoch: [69][9450/11272] Time 0.862 (0.787) Data 0.001 (0.002) Loss 1.6280 (1.6943) Prec@1 52.500 (54.709) Prec@5 85.000 (83.672) Epoch: [69][9460/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.6248 (1.6943) Prec@1 56.250 (54.709) Prec@5 87.500 (83.673) Epoch: [69][9470/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.7822 (1.6943) Prec@1 54.375 (54.710) Prec@5 80.000 (83.672) Epoch: [69][9480/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.5514 (1.6943) Prec@1 59.375 (54.711) Prec@5 86.250 (83.672) Epoch: [69][9490/11272] Time 0.731 (0.787) Data 0.004 (0.002) Loss 1.5444 (1.6943) Prec@1 58.750 (54.711) Prec@5 85.000 (83.672) Epoch: [69][9500/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 1.5525 (1.6943) Prec@1 60.000 (54.712) Prec@5 85.000 (83.671) Epoch: [69][9510/11272] Time 0.887 (0.787) Data 0.001 (0.002) Loss 1.7994 (1.6943) Prec@1 50.625 (54.710) Prec@5 81.250 (83.671) Epoch: [69][9520/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.7490 (1.6943) Prec@1 54.375 (54.710) Prec@5 81.250 (83.671) Epoch: [69][9530/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 1.7125 (1.6943) Prec@1 55.625 (54.709) Prec@5 82.500 (83.669) Epoch: [69][9540/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 1.7111 (1.6944) Prec@1 56.250 (54.708) Prec@5 83.750 (83.668) Epoch: [69][9550/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.6703 (1.6944) Prec@1 56.250 (54.707) Prec@5 80.000 (83.668) Epoch: [69][9560/11272] Time 0.924 (0.787) Data 0.002 (0.002) Loss 1.8589 (1.6945) Prec@1 55.625 (54.706) Prec@5 80.000 (83.667) Epoch: [69][9570/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.5665 (1.6944) Prec@1 58.750 (54.708) Prec@5 85.625 (83.669) Epoch: [69][9580/11272] Time 0.758 (0.787) Data 0.002 (0.002) Loss 1.5940 (1.6945) Prec@1 58.125 (54.707) Prec@5 87.500 (83.668) Epoch: [69][9590/11272] Time 0.835 (0.787) Data 0.003 (0.002) Loss 1.6218 (1.6945) Prec@1 57.500 (54.708) Prec@5 85.000 (83.667) Epoch: [69][9600/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.6470 (1.6944) Prec@1 53.750 (54.709) Prec@5 86.250 (83.669) Epoch: [69][9610/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.6980 (1.6945) Prec@1 53.750 (54.708) Prec@5 83.750 (83.668) Epoch: [69][9620/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.4988 (1.6945) Prec@1 58.750 (54.708) Prec@5 86.250 (83.670) Epoch: [69][9630/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.8297 (1.6945) Prec@1 50.625 (54.708) Prec@5 81.875 (83.669) Epoch: [69][9640/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.7844 (1.6945) Prec@1 59.375 (54.709) Prec@5 83.125 (83.670) Epoch: [69][9650/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 2.1762 (1.6946) Prec@1 43.125 (54.707) Prec@5 75.625 (83.669) Epoch: [69][9660/11272] Time 0.866 (0.787) Data 0.001 (0.002) Loss 1.9825 (1.6946) Prec@1 52.500 (54.706) Prec@5 81.875 (83.669) Epoch: [69][9670/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.8865 (1.6946) Prec@1 50.000 (54.705) Prec@5 78.750 (83.669) Epoch: [69][9680/11272] Time 0.749 (0.787) Data 0.001 (0.002) Loss 1.9517 (1.6946) Prec@1 53.750 (54.706) Prec@5 76.875 (83.669) Epoch: [69][9690/11272] Time 0.736 (0.787) Data 0.001 (0.002) Loss 1.6266 (1.6946) Prec@1 53.125 (54.706) Prec@5 87.500 (83.668) Epoch: [69][9700/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.5379 (1.6946) Prec@1 60.000 (54.706) Prec@5 86.875 (83.669) Epoch: [69][9710/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 1.7875 (1.6945) Prec@1 51.875 (54.706) Prec@5 84.375 (83.669) Epoch: [69][9720/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.7366 (1.6946) Prec@1 55.000 (54.705) Prec@5 85.000 (83.669) Epoch: [69][9730/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.6393 (1.6946) Prec@1 58.125 (54.705) Prec@5 84.375 (83.668) Epoch: [69][9740/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.6339 (1.6946) Prec@1 54.375 (54.706) Prec@5 85.000 (83.667) Epoch: [69][9750/11272] Time 0.769 (0.787) Data 0.004 (0.002) Loss 1.5550 (1.6946) Prec@1 58.125 (54.706) Prec@5 86.875 (83.667) Epoch: [69][9760/11272] Time 0.753 (0.787) Data 0.001 (0.002) Loss 1.8679 (1.6946) Prec@1 50.625 (54.706) Prec@5 81.250 (83.668) Epoch: [69][9770/11272] Time 0.856 (0.787) Data 0.002 (0.002) Loss 1.4555 (1.6946) Prec@1 56.875 (54.705) Prec@5 89.375 (83.668) Epoch: [69][9780/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 1.9031 (1.6946) Prec@1 51.250 (54.705) Prec@5 81.875 (83.669) Epoch: [69][9790/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.6193 (1.6946) Prec@1 58.125 (54.704) Prec@5 83.125 (83.669) Epoch: [69][9800/11272] Time 0.724 (0.787) Data 0.002 (0.002) Loss 1.9006 (1.6947) Prec@1 51.875 (54.703) Prec@5 80.000 (83.668) Epoch: [69][9810/11272] Time 0.850 (0.787) Data 0.001 (0.002) Loss 1.5340 (1.6946) Prec@1 61.250 (54.706) Prec@5 85.625 (83.669) Epoch: [69][9820/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.6493 (1.6946) Prec@1 53.750 (54.705) Prec@5 86.250 (83.667) Epoch: [69][9830/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 1.9455 (1.6946) Prec@1 46.875 (54.707) Prec@5 80.000 (83.667) Epoch: [69][9840/11272] Time 0.747 (0.787) Data 0.001 (0.002) Loss 1.5620 (1.6946) Prec@1 54.375 (54.706) Prec@5 85.000 (83.667) Epoch: [69][9850/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.4845 (1.6947) Prec@1 60.000 (54.705) Prec@5 86.875 (83.667) Epoch: [69][9860/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.6477 (1.6947) Prec@1 51.875 (54.702) Prec@5 84.375 (83.667) Epoch: [69][9870/11272] Time 0.731 (0.787) Data 0.001 (0.002) Loss 1.6993 (1.6947) Prec@1 52.500 (54.702) Prec@5 87.500 (83.668) Epoch: [69][9880/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.7693 (1.6947) Prec@1 51.875 (54.701) Prec@5 85.625 (83.669) Epoch: [69][9890/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.5071 (1.6947) Prec@1 55.625 (54.700) Prec@5 85.625 (83.670) Epoch: [69][9900/11272] Time 0.748 (0.787) Data 0.002 (0.002) Loss 1.5378 (1.6947) Prec@1 58.750 (54.699) Prec@5 87.500 (83.670) Epoch: [69][9910/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.7693 (1.6947) Prec@1 55.000 (54.697) Prec@5 86.250 (83.670) Epoch: [69][9920/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.6530 (1.6947) Prec@1 60.625 (54.701) Prec@5 85.000 (83.670) Epoch: [69][9930/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.7214 (1.6947) Prec@1 53.750 (54.700) Prec@5 80.625 (83.670) Epoch: [69][9940/11272] Time 0.725 (0.787) Data 0.002 (0.002) Loss 1.6754 (1.6947) Prec@1 56.250 (54.700) Prec@5 83.750 (83.670) Epoch: [69][9950/11272] Time 0.801 (0.787) Data 0.001 (0.002) Loss 1.8072 (1.6947) Prec@1 48.125 (54.702) Prec@5 81.250 (83.669) Epoch: [69][9960/11272] Time 0.874 (0.787) Data 0.002 (0.002) Loss 1.9050 (1.6948) Prec@1 50.000 (54.699) Prec@5 77.500 (83.668) Epoch: [69][9970/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 1.7149 (1.6948) Prec@1 55.625 (54.699) Prec@5 80.625 (83.666) Epoch: [69][9980/11272] Time 0.716 (0.787) Data 0.002 (0.002) Loss 1.7210 (1.6948) Prec@1 52.500 (54.698) Prec@5 82.500 (83.667) Epoch: [69][9990/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.9582 (1.6948) Prec@1 48.750 (54.699) Prec@5 80.000 (83.667) Epoch: [69][10000/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.7770 (1.6948) Prec@1 51.875 (54.697) Prec@5 85.000 (83.666) Epoch: [69][10010/11272] Time 0.814 (0.787) Data 0.002 (0.002) Loss 1.8072 (1.6949) Prec@1 53.125 (54.697) Prec@5 82.500 (83.667) Epoch: [69][10020/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.8561 (1.6948) Prec@1 52.500 (54.698) Prec@5 82.500 (83.668) Epoch: [69][10030/11272] Time 0.851 (0.787) Data 0.002 (0.002) Loss 1.6142 (1.6948) Prec@1 55.000 (54.698) Prec@5 88.750 (83.667) Epoch: [69][10040/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.8167 (1.6949) Prec@1 51.875 (54.696) Prec@5 82.500 (83.667) Epoch: [69][10050/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.6497 (1.6948) Prec@1 55.000 (54.698) Prec@5 83.125 (83.667) Epoch: [69][10060/11272] Time 0.702 (0.787) Data 0.001 (0.002) Loss 1.6514 (1.6948) Prec@1 52.500 (54.698) Prec@5 85.000 (83.667) Epoch: [69][10070/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.6244 (1.6949) Prec@1 57.500 (54.699) Prec@5 85.000 (83.666) Epoch: [69][10080/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 1.8048 (1.6948) Prec@1 52.500 (54.700) Prec@5 82.500 (83.668) Epoch: [69][10090/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.7311 (1.6949) Prec@1 55.000 (54.698) Prec@5 85.000 (83.668) Epoch: [69][10100/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.6531 (1.6949) Prec@1 55.625 (54.697) Prec@5 84.375 (83.667) Epoch: [69][10110/11272] Time 0.865 (0.787) Data 0.002 (0.002) Loss 1.5526 (1.6949) Prec@1 57.500 (54.697) Prec@5 88.750 (83.668) Epoch: [69][10120/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.5747 (1.6950) Prec@1 56.250 (54.697) Prec@5 83.750 (83.667) Epoch: [69][10130/11272] Time 0.750 (0.787) Data 0.002 (0.002) Loss 1.6755 (1.6950) Prec@1 56.250 (54.695) Prec@5 82.500 (83.666) Epoch: [69][10140/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.8113 (1.6950) Prec@1 48.125 (54.694) Prec@5 83.750 (83.666) Epoch: [69][10150/11272] Time 0.924 (0.787) Data 0.001 (0.002) Loss 1.6734 (1.6950) Prec@1 50.625 (54.693) Prec@5 86.250 (83.666) Epoch: [69][10160/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.5708 (1.6950) Prec@1 53.750 (54.693) Prec@5 84.375 (83.665) Epoch: [69][10170/11272] Time 0.756 (0.787) Data 0.002 (0.002) Loss 1.7066 (1.6950) Prec@1 56.875 (54.694) Prec@5 83.125 (83.666) Epoch: [69][10180/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.6050 (1.6950) Prec@1 54.375 (54.694) Prec@5 85.000 (83.666) Epoch: [69][10190/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.5266 (1.6950) Prec@1 57.500 (54.694) Prec@5 86.875 (83.665) Epoch: [69][10200/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 1.8137 (1.6950) Prec@1 53.125 (54.695) Prec@5 78.125 (83.666) Epoch: [69][10210/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.9614 (1.6949) Prec@1 50.000 (54.697) Prec@5 76.875 (83.667) Epoch: [69][10220/11272] Time 0.873 (0.787) Data 0.002 (0.002) Loss 1.6024 (1.6948) Prec@1 56.250 (54.699) Prec@5 86.250 (83.667) Epoch: [69][10230/11272] Time 0.871 (0.787) Data 0.002 (0.002) Loss 1.7012 (1.6948) Prec@1 53.750 (54.700) Prec@5 88.125 (83.668) Epoch: [69][10240/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.6374 (1.6949) Prec@1 56.250 (54.700) Prec@5 82.500 (83.666) Epoch: [69][10250/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.7595 (1.6949) Prec@1 56.875 (54.700) Prec@5 81.250 (83.664) Epoch: [69][10260/11272] Time 0.911 (0.788) Data 0.002 (0.002) Loss 1.5830 (1.6950) Prec@1 61.250 (54.698) Prec@5 83.750 (83.664) Epoch: [69][10270/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 1.7578 (1.6949) Prec@1 57.500 (54.698) Prec@5 79.375 (83.665) Epoch: [69][10280/11272] Time 0.717 (0.788) Data 0.002 (0.002) Loss 1.8346 (1.6949) Prec@1 50.000 (54.697) Prec@5 84.375 (83.665) Epoch: [69][10290/11272] Time 0.854 (0.788) Data 0.002 (0.002) Loss 1.9539 (1.6950) Prec@1 47.500 (54.697) Prec@5 82.500 (83.665) Epoch: [69][10300/11272] Time 0.849 (0.788) Data 0.002 (0.002) Loss 1.7322 (1.6950) Prec@1 55.625 (54.697) Prec@5 80.625 (83.663) Epoch: [69][10310/11272] Time 0.761 (0.788) Data 0.002 (0.002) Loss 2.0069 (1.6951) Prec@1 55.000 (54.696) Prec@5 77.500 (83.662) Epoch: [69][10320/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 1.7076 (1.6951) Prec@1 54.375 (54.695) Prec@5 85.000 (83.661) Epoch: [69][10330/11272] Time 0.847 (0.788) Data 0.001 (0.002) Loss 1.6469 (1.6951) Prec@1 54.375 (54.694) Prec@5 83.125 (83.660) Epoch: [69][10340/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 1.9495 (1.6952) Prec@1 51.250 (54.694) Prec@5 76.250 (83.660) Epoch: [69][10350/11272] Time 0.743 (0.788) Data 0.002 (0.002) Loss 1.5776 (1.6951) Prec@1 55.625 (54.695) Prec@5 85.000 (83.659) Epoch: [69][10360/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.5625 (1.6951) Prec@1 53.750 (54.694) Prec@5 85.000 (83.657) Epoch: [69][10370/11272] Time 0.964 (0.788) Data 0.002 (0.002) Loss 2.0048 (1.6952) Prec@1 50.625 (54.693) Prec@5 80.000 (83.657) Epoch: [69][10380/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.6508 (1.6953) Prec@1 57.500 (54.691) Prec@5 81.875 (83.656) Epoch: [69][10390/11272] Time 0.703 (0.788) Data 0.002 (0.002) Loss 1.6637 (1.6952) Prec@1 56.250 (54.690) Prec@5 85.000 (83.657) Epoch: [69][10400/11272] Time 0.719 (0.788) Data 0.002 (0.002) Loss 1.6228 (1.6953) Prec@1 58.750 (54.689) Prec@5 83.750 (83.656) Epoch: [69][10410/11272] Time 0.871 (0.788) Data 0.001 (0.002) Loss 1.7082 (1.6953) Prec@1 56.875 (54.690) Prec@5 85.625 (83.657) Epoch: [69][10420/11272] Time 0.723 (0.788) Data 0.003 (0.002) Loss 1.6178 (1.6952) Prec@1 55.000 (54.690) Prec@5 81.875 (83.657) Epoch: [69][10430/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.9367 (1.6952) Prec@1 50.000 (54.690) Prec@5 77.500 (83.658) Epoch: [69][10440/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 1.6536 (1.6952) Prec@1 55.000 (54.690) Prec@5 87.500 (83.658) Epoch: [69][10450/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.5213 (1.6952) Prec@1 56.250 (54.690) Prec@5 88.750 (83.658) Epoch: [69][10460/11272] Time 0.719 (0.788) Data 0.002 (0.002) Loss 1.7721 (1.6953) Prec@1 49.375 (54.689) Prec@5 85.000 (83.658) Epoch: [69][10470/11272] Time 0.709 (0.788) Data 0.001 (0.002) Loss 1.8542 (1.6953) Prec@1 51.250 (54.688) Prec@5 80.000 (83.657) Epoch: [69][10480/11272] Time 0.865 (0.788) Data 0.002 (0.002) Loss 1.9672 (1.6954) Prec@1 47.500 (54.688) Prec@5 78.125 (83.658) Epoch: [69][10490/11272] Time 0.857 (0.788) Data 0.001 (0.002) Loss 1.7507 (1.6953) Prec@1 52.500 (54.689) Prec@5 84.375 (83.658) Epoch: [69][10500/11272] Time 0.724 (0.788) Data 0.002 (0.002) Loss 1.4990 (1.6952) Prec@1 61.875 (54.691) Prec@5 91.875 (83.659) Epoch: [69][10510/11272] Time 0.706 (0.788) Data 0.001 (0.002) Loss 1.7549 (1.6953) Prec@1 51.250 (54.690) Prec@5 83.125 (83.658) Epoch: [69][10520/11272] Time 0.811 (0.788) Data 0.001 (0.002) Loss 1.6951 (1.6952) Prec@1 59.375 (54.691) Prec@5 83.750 (83.658) Epoch: [69][10530/11272] Time 0.821 (0.788) Data 0.001 (0.002) Loss 1.6948 (1.6952) Prec@1 57.500 (54.691) Prec@5 82.500 (83.658) Epoch: [69][10540/11272] Time 0.708 (0.788) Data 0.001 (0.002) Loss 1.6104 (1.6952) Prec@1 56.875 (54.692) Prec@5 85.625 (83.659) Epoch: [69][10550/11272] Time 0.844 (0.788) Data 0.001 (0.002) Loss 1.7939 (1.6953) Prec@1 53.750 (54.691) Prec@5 81.875 (83.657) Epoch: [69][10560/11272] Time 0.826 (0.788) Data 0.002 (0.002) Loss 1.7104 (1.6953) Prec@1 55.625 (54.692) Prec@5 82.500 (83.657) Epoch: [69][10570/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.7729 (1.6952) Prec@1 50.625 (54.692) Prec@5 83.750 (83.659) Epoch: [69][10580/11272] Time 0.751 (0.788) Data 0.002 (0.002) Loss 1.6484 (1.6951) Prec@1 53.750 (54.694) Prec@5 85.000 (83.659) Epoch: [69][10590/11272] Time 0.851 (0.788) Data 0.002 (0.002) Loss 1.6216 (1.6951) Prec@1 56.875 (54.694) Prec@5 83.125 (83.660) Epoch: [69][10600/11272] Time 0.853 (0.788) Data 0.002 (0.002) Loss 1.7065 (1.6952) Prec@1 55.625 (54.694) Prec@5 83.125 (83.660) Epoch: [69][10610/11272] Time 0.767 (0.788) Data 0.001 (0.002) Loss 1.5623 (1.6951) Prec@1 58.125 (54.694) Prec@5 86.250 (83.660) Epoch: [69][10620/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.6087 (1.6951) Prec@1 58.125 (54.694) Prec@5 87.500 (83.661) Epoch: [69][10630/11272] Time 0.871 (0.788) Data 0.001 (0.002) Loss 1.7421 (1.6951) Prec@1 49.375 (54.695) Prec@5 83.125 (83.662) Epoch: [69][10640/11272] Time 0.878 (0.788) Data 0.002 (0.002) Loss 1.8165 (1.6951) Prec@1 57.500 (54.696) Prec@5 80.625 (83.662) Epoch: [69][10650/11272] Time 0.715 (0.788) Data 0.002 (0.002) Loss 1.4530 (1.6950) Prec@1 59.375 (54.697) Prec@5 86.250 (83.663) Epoch: [69][10660/11272] Time 0.724 (0.788) Data 0.002 (0.002) Loss 1.7980 (1.6951) Prec@1 53.750 (54.696) Prec@5 80.625 (83.663) Epoch: [69][10670/11272] Time 0.881 (0.788) Data 0.001 (0.002) Loss 1.7937 (1.6950) Prec@1 53.750 (54.697) Prec@5 80.625 (83.664) Epoch: [69][10680/11272] Time 0.712 (0.788) Data 0.003 (0.002) Loss 1.6344 (1.6950) Prec@1 56.875 (54.698) Prec@5 81.875 (83.666) Epoch: [69][10690/11272] Time 0.714 (0.788) Data 0.002 (0.002) Loss 1.6525 (1.6950) Prec@1 54.375 (54.697) Prec@5 81.875 (83.666) Epoch: [69][10700/11272] Time 0.831 (0.788) Data 0.002 (0.002) Loss 1.6638 (1.6950) Prec@1 59.375 (54.697) Prec@5 83.125 (83.665) Epoch: [69][10710/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 1.7958 (1.6950) Prec@1 52.500 (54.696) Prec@5 80.625 (83.663) Epoch: [69][10720/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 1.5605 (1.6950) Prec@1 58.750 (54.697) Prec@5 85.000 (83.663) Epoch: [69][10730/11272] Time 0.722 (0.788) Data 0.002 (0.002) Loss 1.3916 (1.6950) Prec@1 65.625 (54.699) Prec@5 88.750 (83.664) Epoch: [69][10740/11272] Time 0.917 (0.788) Data 0.002 (0.002) Loss 1.7547 (1.6950) Prec@1 54.375 (54.697) Prec@5 84.375 (83.664) Epoch: [69][10750/11272] Time 0.897 (0.788) Data 0.002 (0.002) Loss 1.6659 (1.6951) Prec@1 56.250 (54.696) Prec@5 85.000 (83.663) Epoch: [69][10760/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 2.0474 (1.6951) Prec@1 46.875 (54.695) Prec@5 76.250 (83.662) Epoch: [69][10770/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.4422 (1.6950) Prec@1 61.875 (54.697) Prec@5 85.625 (83.663) Epoch: [69][10780/11272] Time 0.846 (0.788) Data 0.001 (0.002) Loss 1.8669 (1.6950) Prec@1 48.750 (54.696) Prec@5 82.500 (83.663) Epoch: [69][10790/11272] Time 0.880 (0.788) Data 0.002 (0.002) Loss 1.8926 (1.6951) Prec@1 53.750 (54.695) Prec@5 80.000 (83.662) Epoch: [69][10800/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.7383 (1.6951) Prec@1 57.500 (54.695) Prec@5 81.250 (83.662) Epoch: [69][10810/11272] Time 0.890 (0.788) Data 0.002 (0.002) Loss 1.7704 (1.6950) Prec@1 53.125 (54.695) Prec@5 83.750 (83.664) Epoch: [69][10820/11272] Time 0.828 (0.788) Data 0.002 (0.002) Loss 1.7802 (1.6951) Prec@1 51.250 (54.695) Prec@5 83.750 (83.664) Epoch: [69][10830/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.4643 (1.6951) Prec@1 59.375 (54.696) Prec@5 90.000 (83.664) Epoch: [69][10840/11272] Time 0.738 (0.788) Data 0.001 (0.002) Loss 1.6904 (1.6951) Prec@1 52.500 (54.696) Prec@5 81.250 (83.663) Epoch: [69][10850/11272] Time 0.837 (0.788) Data 0.002 (0.002) Loss 1.4725 (1.6951) Prec@1 58.750 (54.696) Prec@5 88.125 (83.663) Epoch: [69][10860/11272] Time 0.861 (0.788) Data 0.002 (0.002) Loss 1.5720 (1.6951) Prec@1 61.875 (54.697) Prec@5 85.000 (83.663) Epoch: [69][10870/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.4951 (1.6951) Prec@1 61.875 (54.696) Prec@5 84.375 (83.662) Epoch: [69][10880/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 1.5364 (1.6951) Prec@1 58.750 (54.697) Prec@5 88.125 (83.663) Epoch: [69][10890/11272] Time 0.859 (0.788) Data 0.002 (0.002) Loss 1.5767 (1.6950) Prec@1 55.625 (54.698) Prec@5 86.250 (83.663) Epoch: [69][10900/11272] Time 0.845 (0.788) Data 0.002 (0.002) Loss 1.7214 (1.6950) Prec@1 51.875 (54.698) Prec@5 80.625 (83.663) Epoch: [69][10910/11272] Time 0.753 (0.788) Data 0.002 (0.002) Loss 1.7821 (1.6951) Prec@1 53.125 (54.697) Prec@5 81.250 (83.662) Epoch: [69][10920/11272] Time 0.734 (0.788) Data 0.004 (0.002) Loss 1.4265 (1.6951) Prec@1 58.125 (54.694) Prec@5 89.375 (83.662) Epoch: [69][10930/11272] Time 0.858 (0.788) Data 0.001 (0.002) Loss 1.6308 (1.6951) Prec@1 55.625 (54.693) Prec@5 85.625 (83.661) Epoch: [69][10940/11272] Time 0.847 (0.788) Data 0.001 (0.002) Loss 1.9008 (1.6951) Prec@1 46.875 (54.691) Prec@5 80.000 (83.660) Epoch: [69][10950/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.6849 (1.6952) Prec@1 58.125 (54.691) Prec@5 81.875 (83.660) Epoch: [69][10960/11272] Time 0.880 (0.788) Data 0.002 (0.002) Loss 1.7101 (1.6952) Prec@1 55.625 (54.690) Prec@5 83.125 (83.660) Epoch: [69][10970/11272] Time 0.923 (0.788) Data 0.002 (0.002) Loss 1.7663 (1.6952) Prec@1 49.375 (54.688) Prec@5 80.000 (83.660) Epoch: [69][10980/11272] Time 0.781 (0.788) Data 0.002 (0.002) Loss 1.6663 (1.6953) Prec@1 56.250 (54.687) Prec@5 88.750 (83.660) Epoch: [69][10990/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.8682 (1.6954) Prec@1 51.875 (54.686) Prec@5 79.375 (83.658) Epoch: [69][11000/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 1.7807 (1.6954) Prec@1 54.375 (54.687) Prec@5 81.250 (83.658) Epoch: [69][11010/11272] Time 0.840 (0.788) Data 0.002 (0.002) Loss 1.8074 (1.6954) Prec@1 51.250 (54.686) Prec@5 81.250 (83.658) Epoch: [69][11020/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.7262 (1.6953) Prec@1 51.875 (54.687) Prec@5 85.625 (83.660) Epoch: [69][11030/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 1.7653 (1.6953) Prec@1 53.125 (54.686) Prec@5 81.250 (83.660) Epoch: [69][11040/11272] Time 0.851 (0.788) Data 0.001 (0.002) Loss 1.8115 (1.6953) Prec@1 51.250 (54.686) Prec@5 80.000 (83.661) Epoch: [69][11050/11272] Time 0.924 (0.788) Data 0.001 (0.002) Loss 1.5273 (1.6954) Prec@1 58.750 (54.685) Prec@5 88.125 (83.661) Epoch: [69][11060/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 1.8956 (1.6954) Prec@1 53.750 (54.685) Prec@5 82.500 (83.659) Epoch: [69][11070/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.7444 (1.6954) Prec@1 55.625 (54.685) Prec@5 83.750 (83.659) Epoch: [69][11080/11272] Time 0.923 (0.788) Data 0.002 (0.002) Loss 1.7386 (1.6955) Prec@1 51.875 (54.684) Prec@5 81.875 (83.658) Epoch: [69][11090/11272] Time 0.728 (0.788) Data 0.001 (0.002) Loss 1.7233 (1.6954) Prec@1 55.000 (54.686) Prec@5 81.875 (83.659) Epoch: [69][11100/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.8996 (1.6955) Prec@1 53.750 (54.687) Prec@5 82.500 (83.659) Epoch: [69][11110/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 1.7662 (1.6955) Prec@1 55.000 (54.687) Prec@5 83.750 (83.658) Epoch: [69][11120/11272] Time 0.945 (0.788) Data 0.002 (0.002) Loss 1.7192 (1.6955) Prec@1 52.500 (54.685) Prec@5 83.750 (83.658) Epoch: [69][11130/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.9742 (1.6955) Prec@1 49.375 (54.686) Prec@5 76.875 (83.659) Epoch: [69][11140/11272] Time 0.723 (0.788) Data 0.002 (0.002) Loss 1.4469 (1.6955) Prec@1 61.250 (54.687) Prec@5 88.750 (83.658) Epoch: [69][11150/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.5250 (1.6955) Prec@1 61.250 (54.686) Prec@5 85.625 (83.658) Epoch: [69][11160/11272] Time 0.872 (0.788) Data 0.002 (0.002) Loss 1.8792 (1.6955) Prec@1 51.875 (54.685) Prec@5 80.625 (83.657) Epoch: [69][11170/11272] Time 0.772 (0.788) Data 0.002 (0.002) Loss 1.6950 (1.6956) Prec@1 56.250 (54.685) Prec@5 81.875 (83.656) Epoch: [69][11180/11272] Time 0.724 (0.788) Data 0.002 (0.002) Loss 1.7783 (1.6956) Prec@1 50.000 (54.684) Prec@5 81.875 (83.655) Epoch: [69][11190/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.7578 (1.6955) Prec@1 50.625 (54.685) Prec@5 83.750 (83.657) Epoch: [69][11200/11272] Time 0.829 (0.788) Data 0.002 (0.002) Loss 1.6627 (1.6956) Prec@1 61.875 (54.686) Prec@5 83.125 (83.655) Epoch: [69][11210/11272] Time 0.717 (0.788) Data 0.002 (0.002) Loss 1.6945 (1.6956) Prec@1 54.375 (54.687) Prec@5 82.500 (83.655) Epoch: [69][11220/11272] Time 0.988 (0.788) Data 0.002 (0.002) Loss 1.8114 (1.6956) Prec@1 55.625 (54.685) Prec@5 81.250 (83.655) Epoch: [69][11230/11272] Time 0.856 (0.788) Data 0.005 (0.002) Loss 1.7702 (1.6956) Prec@1 55.000 (54.684) Prec@5 83.125 (83.655) Epoch: [69][11240/11272] Time 0.717 (0.788) Data 0.002 (0.002) Loss 1.6945 (1.6957) Prec@1 56.875 (54.683) Prec@5 83.750 (83.654) Epoch: [69][11250/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.9637 (1.6958) Prec@1 49.375 (54.682) Prec@5 77.500 (83.652) Epoch: [69][11260/11272] Time 0.849 (0.788) Data 0.002 (0.002) Loss 1.5558 (1.6957) Prec@1 58.125 (54.683) Prec@5 81.875 (83.652) Epoch: [69][11270/11272] Time 0.792 (0.788) Data 0.000 (0.002) Loss 1.7346 (1.6958) Prec@1 54.375 (54.683) Prec@5 86.250 (83.653) Test: [0/229] Time 3.065 (3.065) Loss 1.0236 (1.0236) Prec@1 67.500 (67.500) Prec@5 95.625 (95.625) Test: [10/229] Time 0.320 (0.701) Loss 0.9491 (1.5573) Prec@1 68.125 (57.955) Prec@5 96.875 (87.670) Test: [20/229] Time 0.843 (0.620) Loss 2.0647 (1.6349) Prec@1 48.750 (55.238) Prec@5 80.625 (86.875) Test: [30/229] Time 0.398 (0.577) Loss 1.9129 (1.5676) Prec@1 49.375 (57.923) Prec@5 88.125 (87.480) Test: [40/229] Time 0.730 (0.564) Loss 0.3924 (1.5544) Prec@1 92.500 (58.216) Prec@5 95.625 (87.454) Test: [50/229] Time 0.397 (0.549) Loss 2.3210 (1.6138) Prec@1 33.125 (56.691) Prec@5 78.750 (86.164) Test: [60/229] Time 0.779 (0.544) Loss 2.0542 (1.6015) Prec@1 42.500 (56.773) Prec@5 85.000 (86.414) Test: [70/229] Time 0.398 (0.539) Loss 1.2625 (1.6127) Prec@1 71.250 (56.585) Prec@5 86.250 (86.276) Test: [80/229] Time 0.571 (0.534) Loss 2.0521 (1.6341) Prec@1 40.625 (55.664) Prec@5 86.250 (86.204) Test: [90/229] Time 0.344 (0.531) Loss 1.1604 (1.6400) Prec@1 74.375 (55.529) Prec@5 87.500 (86.236) Test: [100/229] Time 0.618 (0.532) Loss 1.9847 (1.6327) Prec@1 51.875 (55.866) Prec@5 86.250 (86.318) Test: [110/229] Time 0.337 (0.526) Loss 1.4061 (1.6162) Prec@1 62.500 (56.182) Prec@5 86.250 (86.453) Test: [120/229] Time 0.434 (0.527) Loss 2.7324 (1.6371) Prec@1 35.000 (55.563) Prec@5 75.000 (86.147) Test: [130/229] Time 0.362 (0.523) Loss 1.2007 (1.6234) Prec@1 61.875 (55.830) Prec@5 92.500 (86.317) Test: [140/229] Time 0.399 (0.525) Loss 1.9086 (1.6383) Prec@1 50.625 (55.417) Prec@5 80.000 (86.166) Test: [150/229] Time 0.436 (0.522) Loss 1.0505 (1.6515) Prec@1 73.125 (55.029) Prec@5 90.625 (86.014) Test: [160/229] Time 0.358 (0.522) Loss 1.8060 (1.6562) Prec@1 55.625 (54.868) Prec@5 81.875 (85.951) Test: [170/229] Time 0.406 (0.521) Loss 1.7102 (1.6675) Prec@1 53.125 (54.492) Prec@5 87.500 (85.822) Test: [180/229] Time 0.320 (0.520) Loss 2.2920 (1.6724) Prec@1 36.250 (54.475) Prec@5 71.875 (85.656) Test: [190/229] Time 0.425 (0.518) Loss 1.1770 (1.6648) Prec@1 65.625 (54.719) Prec@5 93.750 (85.713) Test: [200/229] Time 0.449 (0.519) Loss 1.7467 (1.6558) Prec@1 49.375 (54.770) Prec@5 81.875 (85.877) Test: [210/229] Time 0.352 (0.518) Loss 1.1112 (1.6473) Prec@1 66.250 (55.044) Prec@5 94.375 (85.986) Test: [220/229] Time 0.642 (0.518) Loss 1.4806 (1.6381) Prec@1 63.750 (55.430) Prec@5 88.750 (86.024) * Prec@1 55.726 Prec@5 86.075 Epoch: [70][0/11272] Time 4.308 (4.308) Data 3.388 (3.388) Loss 1.6721 (1.6721) Prec@1 55.625 (55.625) Prec@5 81.875 (81.875) Epoch: [70][10/11272] Time 0.739 (1.110) Data 0.004 (0.310) Loss 1.6373 (1.6866) Prec@1 55.000 (54.148) Prec@5 85.000 (83.864) Epoch: [70][20/11272] Time 0.720 (0.955) Data 0.002 (0.163) Loss 1.3468 (1.6754) Prec@1 63.125 (54.315) Prec@5 89.375 (84.077) Epoch: [70][30/11272] Time 0.917 (0.905) Data 0.002 (0.111) Loss 1.4565 (1.6674) Prec@1 61.875 (54.758) Prec@5 86.250 (83.972) Epoch: [70][40/11272] Time 0.840 (0.878) Data 0.002 (0.084) Loss 1.9397 (1.6776) Prec@1 50.000 (54.421) Prec@5 78.125 (83.872) Epoch: [70][50/11272] Time 0.728 (0.862) Data 0.002 (0.068) Loss 1.4798 (1.6524) Prec@1 61.875 (55.061) Prec@5 85.000 (84.167) Epoch: [70][60/11272] Time 0.726 (0.852) Data 0.002 (0.057) Loss 1.4923 (1.6586) Prec@1 60.625 (54.918) Prec@5 88.750 (84.098) Epoch: [70][70/11272] Time 0.842 (0.845) Data 0.001 (0.049) Loss 1.7161 (1.6553) Prec@1 53.750 (55.167) Prec@5 83.750 (84.225) Epoch: [70][80/11272] Time 0.820 (0.838) Data 0.001 (0.043) Loss 1.7260 (1.6538) Prec@1 54.375 (55.123) Prec@5 81.875 (84.367) Epoch: [70][90/11272] Time 0.742 (0.833) Data 0.001 (0.039) Loss 1.8811 (1.6561) Prec@1 46.875 (55.062) Prec@5 80.000 (84.293) Epoch: [70][100/11272] Time 0.721 (0.829) Data 0.002 (0.035) Loss 1.4895 (1.6646) Prec@1 60.625 (55.043) Prec@5 85.000 (84.202) Epoch: [70][110/11272] Time 0.869 (0.825) Data 0.002 (0.032) Loss 1.6927 (1.6700) Prec@1 56.250 (55.039) Prec@5 83.750 (84.099) Epoch: [70][120/11272] Time 0.865 (0.822) Data 0.001 (0.030) Loss 1.9268 (1.6637) Prec@1 49.375 (55.181) Prec@5 80.000 (84.282) Epoch: [70][130/11272] Time 0.731 (0.819) Data 0.001 (0.027) Loss 1.4912 (1.6661) Prec@1 60.625 (55.219) Prec@5 86.250 (84.208) Epoch: [70][140/11272] Time 0.922 (0.819) Data 0.002 (0.026) Loss 1.4475 (1.6640) Prec@1 56.875 (55.182) Prec@5 86.875 (84.162) Epoch: [70][150/11272] Time 0.849 (0.817) Data 0.002 (0.024) Loss 1.7733 (1.6654) Prec@1 52.500 (55.161) Prec@5 82.500 (84.205) Epoch: [70][160/11272] Time 0.719 (0.814) Data 0.001 (0.023) Loss 1.4844 (1.6606) Prec@1 56.875 (55.307) Prec@5 90.000 (84.344) Epoch: [70][170/11272] Time 0.713 (0.812) Data 0.001 (0.021) Loss 1.7583 (1.6607) Prec@1 56.250 (55.362) Prec@5 84.375 (84.349) Epoch: [70][180/11272] Time 0.803 (0.810) Data 0.001 (0.020) Loss 1.7283 (1.6607) Prec@1 51.875 (55.387) Prec@5 83.750 (84.285) Epoch: [70][190/11272] Time 0.850 (0.808) Data 0.002 (0.019) Loss 1.4943 (1.6618) Prec@1 60.000 (55.386) Prec@5 87.500 (84.254) Epoch: [70][200/11272] Time 0.723 (0.806) Data 0.001 (0.018) Loss 1.8510 (1.6637) Prec@1 51.875 (55.373) Prec@5 83.125 (84.201) Epoch: [70][210/11272] Time 0.697 (0.804) Data 0.001 (0.018) Loss 1.5737 (1.6611) Prec@1 63.125 (55.450) Prec@5 84.375 (84.236) Epoch: [70][220/11272] Time 0.844 (0.803) Data 0.001 (0.017) Loss 1.6901 (1.6624) Prec@1 53.125 (55.424) Prec@5 88.125 (84.211) Epoch: [70][230/11272] Time 0.825 (0.802) Data 0.001 (0.016) Loss 1.5459 (1.6600) Prec@1 61.250 (55.484) Prec@5 86.250 (84.256) Epoch: [70][240/11272] Time 0.699 (0.801) Data 0.001 (0.016) Loss 1.3518 (1.6625) Prec@1 63.750 (55.438) Prec@5 85.000 (84.212) Epoch: [70][250/11272] Time 0.682 (0.799) Data 0.001 (0.015) Loss 1.7655 (1.6654) Prec@1 53.750 (55.369) Prec@5 82.500 (84.141) Epoch: [70][260/11272] Time 0.821 (0.798) Data 0.001 (0.015) Loss 1.6741 (1.6614) Prec@1 53.750 (55.477) Prec@5 86.250 (84.193) Epoch: [70][270/11272] Time 0.838 (0.797) Data 0.002 (0.014) Loss 1.9704 (1.6653) Prec@1 48.750 (55.436) Prec@5 77.500 (84.174) Epoch: [70][280/11272] Time 0.721 (0.796) Data 0.001 (0.014) Loss 1.8912 (1.6667) Prec@1 48.750 (55.387) Prec@5 82.500 (84.157) Epoch: [70][290/11272] Time 0.889 (0.796) Data 0.001 (0.013) Loss 1.4935 (1.6662) Prec@1 58.750 (55.337) Prec@5 85.625 (84.147) Epoch: [70][300/11272] Time 0.778 (0.795) Data 0.001 (0.013) Loss 1.8279 (1.6659) Prec@1 53.125 (55.372) Prec@5 82.500 (84.136) Epoch: [70][310/11272] Time 0.765 (0.794) Data 0.002 (0.012) Loss 1.6460 (1.6649) Prec@1 52.500 (55.380) Prec@5 86.250 (84.164) Epoch: [70][320/11272] Time 0.714 (0.793) Data 0.001 (0.012) Loss 1.5847 (1.6653) Prec@1 59.375 (55.384) Prec@5 85.000 (84.137) Epoch: [70][330/11272] Time 0.831 (0.793) Data 0.001 (0.012) Loss 1.5801 (1.6649) Prec@1 56.875 (55.417) Prec@5 86.250 (84.175) Epoch: [70][340/11272] Time 0.826 (0.792) Data 0.001 (0.011) Loss 1.4391 (1.6616) Prec@1 61.250 (55.477) Prec@5 86.875 (84.199) Epoch: [70][350/11272] Time 0.721 (0.792) Data 0.001 (0.011) Loss 1.6897 (1.6638) Prec@1 52.500 (55.431) Prec@5 86.250 (84.165) Epoch: [70][360/11272] Time 0.723 (0.791) Data 0.001 (0.011) Loss 1.5915 (1.6634) Prec@1 58.125 (55.438) Prec@5 84.375 (84.166) Epoch: [70][370/11272] Time 0.818 (0.791) Data 0.001 (0.011) Loss 1.8763 (1.6644) Prec@1 48.750 (55.416) Prec@5 81.250 (84.163) Epoch: [70][380/11272] Time 0.792 (0.791) Data 0.001 (0.010) Loss 1.7183 (1.6650) Prec@1 53.125 (55.417) Prec@5 80.625 (84.149) Epoch: [70][390/11272] Time 0.709 (0.790) Data 0.001 (0.010) Loss 1.6387 (1.6658) Prec@1 59.375 (55.396) Prec@5 80.625 (84.108) Epoch: [70][400/11272] Time 0.715 (0.790) Data 0.001 (0.010) Loss 1.6589 (1.6650) Prec@1 54.375 (55.440) Prec@5 83.750 (84.110) Epoch: [70][410/11272] Time 0.835 (0.790) Data 0.001 (0.010) Loss 1.7922 (1.6655) Prec@1 48.750 (55.392) Prec@5 82.500 (84.098) Epoch: [70][420/11272] Time 0.712 (0.789) Data 0.001 (0.010) Loss 1.4680 (1.6663) Prec@1 63.125 (55.392) Prec@5 88.125 (84.080) Epoch: [70][430/11272] Time 0.759 (0.789) Data 0.002 (0.009) Loss 1.5578 (1.6679) Prec@1 58.750 (55.335) Prec@5 85.000 (84.068) Epoch: [70][440/11272] Time 0.817 (0.789) Data 0.001 (0.009) Loss 1.7634 (1.6684) Prec@1 53.125 (55.334) Prec@5 81.250 (84.039) Epoch: [70][450/11272] Time 0.836 (0.788) Data 0.002 (0.009) Loss 1.5566 (1.6689) Prec@1 56.250 (55.316) Prec@5 83.750 (84.019) Epoch: [70][460/11272] Time 0.718 (0.788) Data 0.002 (0.009) Loss 1.6387 (1.6700) Prec@1 59.375 (55.329) Prec@5 82.500 (83.987) Epoch: [70][470/11272] Time 0.734 (0.788) Data 0.002 (0.009) Loss 1.6729 (1.6713) Prec@1 51.250 (55.291) Prec@5 83.125 (83.961) Epoch: [70][480/11272] Time 0.841 (0.787) Data 0.002 (0.009) Loss 1.4657 (1.6704) Prec@1 57.500 (55.301) Prec@5 88.125 (83.980) Epoch: [70][490/11272] Time 0.791 (0.787) Data 0.001 (0.008) Loss 1.7858 (1.6707) Prec@1 51.875 (55.286) Prec@5 85.000 (83.992) Epoch: [70][500/11272] Time 0.693 (0.786) Data 0.000 (0.008) Loss 1.7039 (1.6702) Prec@1 51.250 (55.272) Prec@5 84.375 (84.000) Epoch: [70][510/11272] Time 0.708 (0.786) Data 0.001 (0.008) Loss 1.9048 (1.6705) Prec@1 51.250 (55.281) Prec@5 80.000 (83.984) Epoch: [70][520/11272] Time 0.845 (0.786) Data 0.002 (0.008) Loss 1.9154 (1.6719) Prec@1 46.250 (55.238) Prec@5 78.125 (83.971) Epoch: [70][530/11272] Time 0.824 (0.786) Data 0.001 (0.008) Loss 1.3226 (1.6715) Prec@1 63.125 (55.238) Prec@5 88.750 (83.956) Epoch: [70][540/11272] Time 0.708 (0.785) Data 0.002 (0.008) Loss 1.7802 (1.6713) Prec@1 49.375 (55.273) Prec@5 81.250 (83.943) Epoch: [70][550/11272] Time 0.799 (0.785) Data 0.001 (0.008) Loss 1.7220 (1.6709) Prec@1 54.375 (55.262) Prec@5 82.500 (83.953) Epoch: [70][560/11272] Time 0.818 (0.785) Data 0.001 (0.008) Loss 1.2762 (1.6695) Prec@1 66.875 (55.272) Prec@5 87.500 (83.975) Epoch: [70][570/11272] Time 0.731 (0.785) Data 0.001 (0.007) Loss 1.6596 (1.6709) Prec@1 52.500 (55.246) Prec@5 84.375 (83.943) Epoch: [70][580/11272] Time 0.728 (0.784) Data 0.001 (0.007) Loss 1.6966 (1.6710) Prec@1 52.500 (55.236) Prec@5 86.875 (83.960) Epoch: [70][590/11272] Time 0.813 (0.784) Data 0.002 (0.007) Loss 1.5938 (1.6715) Prec@1 52.500 (55.200) Prec@5 84.375 (83.941) Epoch: [70][600/11272] Time 0.843 (0.784) Data 0.002 (0.007) Loss 1.7559 (1.6724) Prec@1 55.000 (55.177) Prec@5 84.375 (83.912) Epoch: [70][610/11272] Time 0.725 (0.784) Data 0.001 (0.007) Loss 1.7048 (1.6728) Prec@1 59.375 (55.177) Prec@5 80.625 (83.897) Epoch: [70][620/11272] Time 0.714 (0.784) Data 0.001 (0.007) Loss 1.7233 (1.6728) Prec@1 58.750 (55.182) Prec@5 81.875 (83.908) Epoch: [70][630/11272] Time 0.858 (0.784) Data 0.001 (0.007) Loss 1.5788 (1.6724) Prec@1 56.875 (55.193) Prec@5 83.125 (83.896) Epoch: [70][640/11272] Time 0.828 (0.784) Data 0.001 (0.007) Loss 1.5992 (1.6722) Prec@1 55.000 (55.187) Prec@5 83.125 (83.900) Epoch: [70][650/11272] Time 0.736 (0.783) Data 0.002 (0.007) Loss 1.5296 (1.6719) Prec@1 60.625 (55.222) Prec@5 88.125 (83.904) Epoch: [70][660/11272] Time 0.746 (0.783) Data 0.002 (0.007) Loss 1.6807 (1.6710) Prec@1 54.375 (55.234) Prec@5 85.000 (83.933) Epoch: [70][670/11272] Time 0.811 (0.783) Data 0.001 (0.007) Loss 1.6829 (1.6710) Prec@1 56.250 (55.222) Prec@5 80.000 (83.929) Epoch: [70][680/11272] Time 0.719 (0.783) Data 0.003 (0.006) Loss 1.6874 (1.6713) Prec@1 56.875 (55.226) Prec@5 83.125 (83.931) Epoch: [70][690/11272] Time 0.729 (0.783) Data 0.001 (0.006) Loss 2.1224 (1.6711) Prec@1 43.750 (55.231) Prec@5 76.875 (83.929) Epoch: [70][700/11272] Time 0.850 (0.783) Data 0.002 (0.006) Loss 1.6187 (1.6718) Prec@1 54.375 (55.202) Prec@5 85.625 (83.924) Epoch: [70][710/11272] Time 0.843 (0.783) Data 0.001 (0.006) Loss 1.7851 (1.6722) Prec@1 50.000 (55.191) Prec@5 81.875 (83.925) Epoch: [70][720/11272] Time 0.716 (0.782) Data 0.001 (0.006) Loss 1.7637 (1.6722) Prec@1 48.125 (55.187) Prec@5 85.000 (83.938) Epoch: [70][730/11272] Time 0.718 (0.782) Data 0.001 (0.006) Loss 1.7914 (1.6724) Prec@1 56.250 (55.185) Prec@5 81.875 (83.945) Epoch: [70][740/11272] Time 0.852 (0.782) Data 0.001 (0.006) Loss 1.6855 (1.6726) Prec@1 54.375 (55.191) Prec@5 83.750 (83.940) Epoch: [70][750/11272] Time 0.809 (0.782) Data 0.001 (0.006) Loss 1.5689 (1.6712) Prec@1 52.500 (55.223) Prec@5 85.000 (83.958) Epoch: [70][760/11272] Time 0.737 (0.782) Data 0.001 (0.006) Loss 1.7271 (1.6711) Prec@1 52.500 (55.228) Prec@5 84.375 (83.960) Epoch: [70][770/11272] Time 0.726 (0.782) Data 0.001 (0.006) Loss 1.5300 (1.6697) Prec@1 60.000 (55.248) Prec@5 85.625 (83.984) Epoch: [70][780/11272] Time 0.810 (0.782) Data 0.001 (0.006) Loss 1.8835 (1.6696) Prec@1 53.750 (55.240) Prec@5 78.125 (83.993) Epoch: [70][790/11272] Time 0.807 (0.782) Data 0.001 (0.006) Loss 1.5399 (1.6692) Prec@1 57.500 (55.250) Prec@5 87.500 (84.002) Epoch: [70][800/11272] Time 0.717 (0.782) Data 0.001 (0.006) Loss 1.6732 (1.6702) Prec@1 57.500 (55.230) Prec@5 83.750 (83.974) Epoch: [70][810/11272] Time 0.796 (0.782) Data 0.001 (0.006) Loss 1.6482 (1.6706) Prec@1 53.125 (55.234) Prec@5 83.750 (83.954) Epoch: [70][820/11272] Time 0.821 (0.782) Data 0.001 (0.006) Loss 1.5175 (1.6712) Prec@1 55.625 (55.219) Prec@5 86.875 (83.946) Epoch: [70][830/11272] Time 0.742 (0.782) Data 0.001 (0.006) Loss 1.6289 (1.6705) Prec@1 55.625 (55.221) Prec@5 84.375 (83.946) Epoch: [70][840/11272] Time 0.729 (0.781) Data 0.001 (0.005) Loss 1.7473 (1.6708) Prec@1 50.000 (55.197) Prec@5 82.500 (83.939) Epoch: [70][850/11272] Time 0.846 (0.781) Data 0.001 (0.005) Loss 1.7338 (1.6701) Prec@1 54.375 (55.217) Prec@5 82.500 (83.950) Epoch: [70][860/11272] Time 0.841 (0.781) Data 0.002 (0.005) Loss 1.7866 (1.6701) Prec@1 51.875 (55.223) Prec@5 88.125 (83.955) Epoch: [70][870/11272] Time 0.681 (0.781) Data 0.001 (0.005) Loss 1.7463 (1.6696) Prec@1 50.000 (55.217) Prec@5 86.250 (83.983) Epoch: [70][880/11272] Time 0.748 (0.781) Data 0.001 (0.005) Loss 1.7478 (1.6690) Prec@1 59.375 (55.252) Prec@5 80.625 (83.991) Epoch: [70][890/11272] Time 0.780 (0.781) Data 0.001 (0.005) Loss 1.5157 (1.6687) Prec@1 58.125 (55.257) Prec@5 86.250 (84.000) Epoch: [70][900/11272] Time 0.833 (0.781) Data 0.002 (0.005) Loss 1.8507 (1.6693) Prec@1 48.750 (55.228) Prec@5 78.750 (83.994) Epoch: [70][910/11272] Time 0.742 (0.781) Data 0.002 (0.005) Loss 1.8481 (1.6698) Prec@1 55.625 (55.222) Prec@5 79.375 (83.988) Epoch: [70][920/11272] Time 0.729 (0.781) Data 0.001 (0.005) Loss 1.7623 (1.6702) Prec@1 51.875 (55.216) Prec@5 81.250 (83.986) Epoch: [70][930/11272] Time 0.837 (0.781) Data 0.001 (0.005) Loss 1.6402 (1.6706) Prec@1 58.750 (55.209) Prec@5 85.000 (83.990) Epoch: [70][940/11272] Time 0.747 (0.781) Data 0.003 (0.005) Loss 1.8026 (1.6711) Prec@1 53.750 (55.200) Prec@5 79.375 (83.987) Epoch: [70][950/11272] Time 0.760 (0.781) Data 0.002 (0.005) Loss 1.9546 (1.6713) Prec@1 50.625 (55.200) Prec@5 78.750 (83.996) Epoch: [70][960/11272] Time 0.791 (0.781) Data 0.001 (0.005) Loss 1.4917 (1.6715) Prec@1 56.875 (55.189) Prec@5 89.375 (83.999) Epoch: [70][970/11272] Time 0.830 (0.781) Data 0.002 (0.005) Loss 1.6816 (1.6714) Prec@1 56.250 (55.189) Prec@5 84.375 (84.006) Epoch: [70][980/11272] Time 0.737 (0.781) Data 0.002 (0.005) Loss 1.7964 (1.6712) Prec@1 50.000 (55.177) Prec@5 82.500 (84.000) Epoch: [70][990/11272] Time 0.714 (0.781) Data 0.001 (0.005) Loss 1.4511 (1.6712) Prec@1 58.750 (55.177) Prec@5 88.125 (83.998) Epoch: [70][1000/11272] Time 0.808 (0.781) Data 0.001 (0.005) Loss 1.7720 (1.6719) Prec@1 49.375 (55.158) Prec@5 81.875 (83.986) Epoch: [70][1010/11272] Time 0.823 (0.780) Data 0.001 (0.005) Loss 2.0192 (1.6721) Prec@1 48.125 (55.151) Prec@5 75.625 (83.995) Epoch: [70][1020/11272] Time 0.710 (0.780) Data 0.001 (0.005) Loss 1.6028 (1.6721) Prec@1 51.250 (55.151) Prec@5 88.750 (84.004) Epoch: [70][1030/11272] Time 0.729 (0.780) Data 0.001 (0.005) Loss 1.6805 (1.6722) Prec@1 50.625 (55.144) Prec@5 83.750 (84.012) Epoch: [70][1040/11272] Time 0.891 (0.780) Data 0.002 (0.005) Loss 1.7384 (1.6732) Prec@1 53.125 (55.118) Prec@5 81.250 (83.993) Epoch: [70][1050/11272] Time 0.815 (0.780) Data 0.001 (0.005) Loss 1.7603 (1.6743) Prec@1 53.125 (55.097) Prec@5 82.500 (83.984) Epoch: [70][1060/11272] Time 0.730 (0.780) Data 0.001 (0.005) Loss 1.6286 (1.6740) Prec@1 56.250 (55.102) Prec@5 85.000 (83.990) Epoch: [70][1070/11272] Time 0.773 (0.780) Data 0.002 (0.005) Loss 1.6931 (1.6745) Prec@1 53.125 (55.096) Prec@5 81.250 (83.987) Epoch: [70][1080/11272] Time 0.871 (0.780) Data 0.002 (0.005) Loss 1.6966 (1.6750) Prec@1 49.375 (55.076) Prec@5 85.625 (83.985) Epoch: [70][1090/11272] Time 0.702 (0.780) Data 0.002 (0.005) Loss 1.8131 (1.6758) Prec@1 52.500 (55.066) Prec@5 78.750 (83.971) Epoch: [70][1100/11272] Time 0.729 (0.780) Data 0.001 (0.005) Loss 1.5577 (1.6758) Prec@1 57.500 (55.066) Prec@5 86.250 (83.976) Epoch: [70][1110/11272] Time 0.820 (0.780) Data 0.001 (0.004) Loss 1.6385 (1.6756) Prec@1 50.625 (55.070) Prec@5 85.625 (83.976) Epoch: [70][1120/11272] Time 0.793 (0.780) Data 0.001 (0.004) Loss 1.5732 (1.6759) Prec@1 56.875 (55.059) Prec@5 84.375 (83.972) Epoch: [70][1130/11272] Time 0.692 (0.779) Data 0.001 (0.004) Loss 1.8658 (1.6760) Prec@1 55.000 (55.070) Prec@5 80.000 (83.975) Epoch: [70][1140/11272] Time 0.710 (0.779) Data 0.001 (0.004) Loss 1.6462 (1.6764) Prec@1 57.500 (55.063) Prec@5 86.250 (83.967) Epoch: [70][1150/11272] Time 0.823 (0.779) Data 0.001 (0.004) Loss 1.8220 (1.6763) Prec@1 51.250 (55.071) Prec@5 80.625 (83.968) Epoch: [70][1160/11272] Time 0.827 (0.779) Data 0.001 (0.004) Loss 1.6606 (1.6768) Prec@1 53.750 (55.051) Prec@5 85.625 (83.967) Epoch: [70][1170/11272] Time 0.724 (0.779) Data 0.002 (0.004) Loss 1.3983 (1.6766) Prec@1 61.875 (55.058) Prec@5 88.125 (83.977) Epoch: [70][1180/11272] Time 0.701 (0.779) Data 0.001 (0.004) Loss 1.7296 (1.6766) Prec@1 52.500 (55.055) Prec@5 83.750 (83.977) Epoch: [70][1190/11272] Time 0.858 (0.779) Data 0.002 (0.004) Loss 1.6887 (1.6771) Prec@1 55.625 (55.047) Prec@5 82.500 (83.965) Epoch: [70][1200/11272] Time 0.807 (0.779) Data 0.001 (0.004) Loss 1.5724 (1.6775) Prec@1 54.375 (55.030) Prec@5 90.625 (83.976) Epoch: [70][1210/11272] Time 0.721 (0.779) Data 0.002 (0.004) Loss 1.5098 (1.6776) Prec@1 55.625 (55.018) Prec@5 84.375 (83.971) Epoch: [70][1220/11272] Time 0.801 (0.779) Data 0.001 (0.004) Loss 1.5170 (1.6772) Prec@1 59.375 (55.021) Prec@5 86.875 (83.981) Epoch: [70][1230/11272] Time 0.810 (0.779) Data 0.001 (0.004) Loss 1.3010 (1.6771) Prec@1 64.375 (55.026) Prec@5 91.250 (83.981) Epoch: [70][1240/11272] Time 0.721 (0.779) Data 0.001 (0.004) Loss 1.4787 (1.6768) Prec@1 63.125 (55.027) Prec@5 88.125 (83.988) Epoch: [70][1250/11272] Time 0.708 (0.779) Data 0.001 (0.004) Loss 1.6843 (1.6767) Prec@1 53.750 (55.023) Prec@5 85.625 (83.999) Epoch: [70][1260/11272] Time 0.834 (0.779) Data 0.001 (0.004) Loss 1.6873 (1.6767) Prec@1 54.375 (55.027) Prec@5 85.000 (84.001) Epoch: [70][1270/11272] Time 0.825 (0.779) Data 0.002 (0.004) Loss 1.4174 (1.6764) Prec@1 60.625 (55.040) Prec@5 89.375 (84.001) Epoch: [70][1280/11272] Time 0.695 (0.779) Data 0.001 (0.004) Loss 1.5467 (1.6758) Prec@1 60.000 (55.050) Prec@5 85.000 (84.012) Epoch: [70][1290/11272] Time 0.716 (0.779) Data 0.001 (0.004) Loss 1.6391 (1.6759) Prec@1 55.625 (55.046) Prec@5 85.000 (84.007) Epoch: [70][1300/11272] Time 0.862 (0.779) Data 0.002 (0.004) Loss 1.8173 (1.6754) Prec@1 50.625 (55.064) Prec@5 82.500 (84.011) Epoch: [70][1310/11272] Time 0.813 (0.779) Data 0.001 (0.004) Loss 1.7639 (1.6755) Prec@1 55.000 (55.066) Prec@5 83.750 (84.009) Epoch: [70][1320/11272] Time 0.743 (0.779) Data 0.001 (0.004) Loss 1.7179 (1.6757) Prec@1 50.625 (55.053) Prec@5 85.625 (84.012) Epoch: [70][1330/11272] Time 0.722 (0.778) Data 0.001 (0.004) Loss 1.7380 (1.6755) Prec@1 55.000 (55.045) Prec@5 80.000 (84.018) Epoch: [70][1340/11272] Time 0.835 (0.778) Data 0.002 (0.004) Loss 1.6378 (1.6762) Prec@1 58.750 (55.038) Prec@5 85.625 (84.003) Epoch: [70][1350/11272] Time 0.709 (0.778) Data 0.001 (0.004) Loss 1.6440 (1.6764) Prec@1 58.125 (55.031) Prec@5 85.000 (83.995) Epoch: [70][1360/11272] Time 0.710 (0.778) Data 0.001 (0.004) Loss 1.6808 (1.6768) Prec@1 53.125 (55.029) Prec@5 84.375 (83.992) Epoch: [70][1370/11272] Time 0.836 (0.778) Data 0.001 (0.004) Loss 1.5301 (1.6774) Prec@1 63.125 (55.021) Prec@5 80.625 (83.975) Epoch: [70][1380/11272] Time 0.846 (0.778) Data 0.002 (0.004) Loss 1.5501 (1.6772) Prec@1 56.250 (55.024) Prec@5 88.750 (83.988) Epoch: [70][1390/11272] Time 0.716 (0.778) Data 0.001 (0.004) Loss 1.8612 (1.6771) Prec@1 49.375 (55.031) Prec@5 80.625 (83.987) Epoch: [70][1400/11272] Time 0.751 (0.778) Data 0.001 (0.004) Loss 1.6530 (1.6774) Prec@1 56.250 (55.022) Prec@5 83.125 (83.986) Epoch: [70][1410/11272] Time 0.862 (0.778) Data 0.001 (0.004) Loss 1.6148 (1.6775) Prec@1 55.625 (55.023) Prec@5 82.500 (83.981) Epoch: [70][1420/11272] Time 0.828 (0.778) Data 0.002 (0.004) Loss 1.5247 (1.6774) Prec@1 60.625 (55.026) Prec@5 83.750 (83.978) Epoch: [70][1430/11272] Time 0.738 (0.778) Data 0.001 (0.004) Loss 1.6745 (1.6777) Prec@1 48.750 (55.015) Prec@5 85.625 (83.977) Epoch: [70][1440/11272] Time 0.725 (0.778) Data 0.001 (0.004) Loss 1.6300 (1.6780) Prec@1 53.125 (55.009) Prec@5 88.125 (83.968) Epoch: [70][1450/11272] Time 0.820 (0.778) Data 0.001 (0.004) Loss 1.6645 (1.6779) Prec@1 55.000 (55.016) Prec@5 80.625 (83.959) Epoch: [70][1460/11272] Time 0.816 (0.778) Data 0.001 (0.004) Loss 1.7569 (1.6782) Prec@1 53.125 (55.009) Prec@5 80.000 (83.954) Epoch: [70][1470/11272] Time 0.741 (0.778) Data 0.002 (0.004) Loss 1.6917 (1.6786) Prec@1 56.875 (55.014) Prec@5 86.875 (83.956) Epoch: [70][1480/11272] Time 0.820 (0.778) Data 0.001 (0.004) Loss 1.4937 (1.6785) Prec@1 61.250 (55.013) Prec@5 84.375 (83.960) Epoch: [70][1490/11272] Time 0.814 (0.778) Data 0.001 (0.004) Loss 1.6603 (1.6785) Prec@1 56.250 (55.009) Prec@5 83.125 (83.963) Epoch: [70][1500/11272] Time 0.704 (0.778) Data 0.001 (0.004) Loss 1.6658 (1.6780) Prec@1 54.375 (55.021) Prec@5 84.375 (83.963) Epoch: [70][1510/11272] Time 0.728 (0.778) Data 0.001 (0.004) Loss 1.5804 (1.6781) Prec@1 55.000 (55.014) Prec@5 85.000 (83.955) Epoch: [70][1520/11272] Time 0.841 (0.778) Data 0.001 (0.004) Loss 1.6896 (1.6774) Prec@1 57.500 (55.032) Prec@5 81.875 (83.958) Epoch: [70][1530/11272] Time 0.803 (0.778) Data 0.001 (0.004) Loss 1.7753 (1.6775) Prec@1 53.125 (55.023) Prec@5 83.750 (83.959) Epoch: [70][1540/11272] Time 0.731 (0.778) Data 0.001 (0.004) Loss 1.7876 (1.6779) Prec@1 51.250 (55.004) Prec@5 81.875 (83.956) Epoch: [70][1550/11272] Time 0.713 (0.778) Data 0.001 (0.004) Loss 1.3468 (1.6777) Prec@1 60.625 (55.004) Prec@5 89.375 (83.954) Epoch: [70][1560/11272] Time 0.834 (0.778) Data 0.001 (0.004) Loss 1.7557 (1.6775) Prec@1 51.250 (55.003) Prec@5 85.000 (83.956) Epoch: [70][1570/11272] Time 0.827 (0.778) Data 0.001 (0.004) Loss 1.5981 (1.6775) Prec@1 56.250 (55.008) Prec@5 85.000 (83.950) Epoch: [70][1580/11272] Time 0.715 (0.778) Data 0.001 (0.004) Loss 1.5130 (1.6776) Prec@1 57.500 (55.005) Prec@5 86.875 (83.948) Epoch: [70][1590/11272] Time 0.708 (0.778) Data 0.001 (0.004) Loss 1.7490 (1.6778) Prec@1 50.625 (55.007) Prec@5 80.625 (83.943) Epoch: [70][1600/11272] Time 0.814 (0.778) Data 0.001 (0.004) Loss 1.7101 (1.6779) Prec@1 52.500 (55.004) Prec@5 83.125 (83.939) Epoch: [70][1610/11272] Time 0.719 (0.778) Data 0.003 (0.004) Loss 1.8874 (1.6779) Prec@1 50.000 (55.007) Prec@5 79.375 (83.936) Epoch: [70][1620/11272] Time 0.747 (0.778) Data 0.001 (0.004) Loss 1.6864 (1.6778) Prec@1 51.875 (55.004) Prec@5 83.750 (83.932) Epoch: [70][1630/11272] Time 0.843 (0.778) Data 0.002 (0.004) Loss 1.7197 (1.6782) Prec@1 56.875 (54.989) Prec@5 80.000 (83.920) Epoch: [70][1640/11272] Time 0.820 (0.778) Data 0.002 (0.004) Loss 1.6233 (1.6783) Prec@1 53.750 (54.994) Prec@5 86.250 (83.920) Epoch: [70][1650/11272] Time 0.703 (0.778) Data 0.001 (0.003) Loss 1.9335 (1.6784) Prec@1 51.875 (54.995) Prec@5 79.375 (83.920) Epoch: [70][1660/11272] Time 0.720 (0.778) Data 0.001 (0.003) Loss 1.6307 (1.6784) Prec@1 56.875 (55.002) Prec@5 83.750 (83.917) Epoch: [70][1670/11272] Time 0.856 (0.778) Data 0.002 (0.003) Loss 1.7209 (1.6785) Prec@1 55.625 (55.004) Prec@5 83.750 (83.914) Epoch: [70][1680/11272] Time 0.872 (0.778) Data 0.002 (0.003) Loss 1.7501 (1.6784) Prec@1 56.250 (55.014) Prec@5 85.625 (83.920) Epoch: [70][1690/11272] Time 0.757 (0.778) Data 0.001 (0.003) Loss 1.8355 (1.6784) Prec@1 48.750 (55.010) Prec@5 77.500 (83.920) Epoch: [70][1700/11272] Time 0.729 (0.778) Data 0.001 (0.003) Loss 1.5008 (1.6780) Prec@1 55.000 (55.014) Prec@5 86.250 (83.923) Epoch: [70][1710/11272] Time 0.829 (0.778) Data 0.002 (0.003) Loss 1.4530 (1.6776) Prec@1 61.875 (55.032) Prec@5 85.000 (83.925) Epoch: [70][1720/11272] Time 0.816 (0.778) Data 0.001 (0.003) Loss 1.6477 (1.6778) Prec@1 51.250 (55.028) Prec@5 85.625 (83.927) Epoch: [70][1730/11272] Time 0.710 (0.778) Data 0.001 (0.003) Loss 1.7105 (1.6776) Prec@1 51.875 (55.026) Prec@5 83.750 (83.933) Epoch: [70][1740/11272] Time 0.801 (0.778) Data 0.002 (0.003) Loss 1.5548 (1.6770) Prec@1 56.250 (55.037) Prec@5 87.500 (83.943) Epoch: [70][1750/11272] Time 0.843 (0.778) Data 0.002 (0.003) Loss 1.4948 (1.6768) Prec@1 60.625 (55.044) Prec@5 86.250 (83.943) Epoch: [70][1760/11272] Time 0.703 (0.778) Data 0.001 (0.003) Loss 1.7924 (1.6768) Prec@1 49.375 (55.044) Prec@5 86.875 (83.943) Epoch: [70][1770/11272] Time 0.700 (0.778) Data 0.001 (0.003) Loss 1.7683 (1.6771) Prec@1 51.250 (55.043) Prec@5 80.000 (83.939) Epoch: [70][1780/11272] Time 0.839 (0.778) Data 0.001 (0.003) Loss 1.5832 (1.6769) Prec@1 59.375 (55.044) Prec@5 83.125 (83.942) Epoch: [70][1790/11272] Time 0.826 (0.778) Data 0.001 (0.003) Loss 1.6259 (1.6770) Prec@1 56.250 (55.043) Prec@5 81.875 (83.938) Epoch: [70][1800/11272] Time 0.710 (0.777) Data 0.001 (0.003) Loss 1.8676 (1.6766) Prec@1 51.875 (55.055) Prec@5 83.125 (83.948) Epoch: [70][1810/11272] Time 0.711 (0.777) Data 0.001 (0.003) Loss 1.7034 (1.6765) Prec@1 56.875 (55.056) Prec@5 85.000 (83.944) Epoch: [70][1820/11272] Time 0.788 (0.777) Data 0.001 (0.003) Loss 1.6289 (1.6767) Prec@1 60.000 (55.050) Prec@5 86.875 (83.944) Epoch: [70][1830/11272] Time 0.825 (0.777) Data 0.001 (0.003) Loss 1.5557 (1.6767) Prec@1 58.125 (55.039) Prec@5 85.625 (83.943) Epoch: [70][1840/11272] Time 0.751 (0.777) Data 0.001 (0.003) Loss 1.6396 (1.6762) Prec@1 53.125 (55.044) Prec@5 87.500 (83.949) Epoch: [70][1850/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.7701 (1.6765) Prec@1 47.500 (55.032) Prec@5 85.625 (83.949) Epoch: [70][1860/11272] Time 0.823 (0.777) Data 0.001 (0.003) Loss 1.6970 (1.6761) Prec@1 53.750 (55.044) Prec@5 88.125 (83.951) Epoch: [70][1870/11272] Time 0.715 (0.777) Data 0.003 (0.003) Loss 1.4552 (1.6766) Prec@1 61.875 (55.034) Prec@5 86.875 (83.947) Epoch: [70][1880/11272] Time 0.715 (0.777) Data 0.001 (0.003) Loss 1.5488 (1.6765) Prec@1 56.250 (55.037) Prec@5 88.125 (83.950) Epoch: [70][1890/11272] Time 0.807 (0.777) Data 0.001 (0.003) Loss 1.5538 (1.6767) Prec@1 58.125 (55.033) Prec@5 84.375 (83.944) Epoch: [70][1900/11272] Time 0.841 (0.777) Data 0.001 (0.003) Loss 1.4809 (1.6766) Prec@1 61.250 (55.034) Prec@5 85.625 (83.942) Epoch: [70][1910/11272] Time 0.738 (0.777) Data 0.001 (0.003) Loss 1.5994 (1.6769) Prec@1 56.250 (55.027) Prec@5 86.875 (83.938) Epoch: [70][1920/11272] Time 0.741 (0.777) Data 0.002 (0.003) Loss 1.6598 (1.6772) Prec@1 56.875 (55.024) Prec@5 84.375 (83.931) Epoch: [70][1930/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.6970 (1.6773) Prec@1 52.500 (55.025) Prec@5 85.625 (83.930) Epoch: [70][1940/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.8216 (1.6776) Prec@1 56.875 (55.028) Prec@5 79.375 (83.922) Epoch: [70][1950/11272] Time 0.756 (0.777) Data 0.002 (0.003) Loss 1.8341 (1.6777) Prec@1 50.000 (55.027) Prec@5 81.250 (83.917) Epoch: [70][1960/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.6205 (1.6777) Prec@1 58.125 (55.025) Prec@5 85.000 (83.920) Epoch: [70][1970/11272] Time 0.833 (0.777) Data 0.001 (0.003) Loss 1.3665 (1.6775) Prec@1 65.000 (55.024) Prec@5 88.750 (83.928) Epoch: [70][1980/11272] Time 0.823 (0.777) Data 0.001 (0.003) Loss 1.7705 (1.6775) Prec@1 55.625 (55.022) Prec@5 83.750 (83.933) Epoch: [70][1990/11272] Time 0.696 (0.777) Data 0.001 (0.003) Loss 1.8706 (1.6775) Prec@1 52.500 (55.028) Prec@5 80.625 (83.931) Epoch: [70][2000/11272] Time 0.800 (0.777) Data 0.001 (0.003) Loss 1.5476 (1.6774) Prec@1 57.500 (55.032) Prec@5 81.875 (83.936) Epoch: [70][2010/11272] Time 0.875 (0.777) Data 0.002 (0.003) Loss 1.6599 (1.6777) Prec@1 53.125 (55.023) Prec@5 85.000 (83.929) Epoch: [70][2020/11272] Time 0.721 (0.777) Data 0.001 (0.003) Loss 1.5332 (1.6777) Prec@1 59.375 (55.027) Prec@5 88.750 (83.930) Epoch: [70][2030/11272] Time 0.713 (0.777) Data 0.001 (0.003) Loss 1.5585 (1.6778) Prec@1 58.125 (55.024) Prec@5 87.500 (83.933) Epoch: [70][2040/11272] Time 0.826 (0.777) Data 0.001 (0.003) Loss 1.6007 (1.6777) Prec@1 55.000 (55.025) Prec@5 86.875 (83.935) Epoch: [70][2050/11272] Time 0.817 (0.777) Data 0.001 (0.003) Loss 1.6646 (1.6776) Prec@1 53.125 (55.026) Prec@5 85.000 (83.936) Epoch: [70][2060/11272] Time 0.709 (0.777) Data 0.001 (0.003) Loss 1.7287 (1.6777) Prec@1 52.500 (55.017) Prec@5 83.750 (83.937) Epoch: [70][2070/11272] Time 0.695 (0.777) Data 0.001 (0.003) Loss 1.8881 (1.6775) Prec@1 55.000 (55.024) Prec@5 80.000 (83.941) Epoch: [70][2080/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.4839 (1.6776) Prec@1 61.250 (55.025) Prec@5 87.500 (83.941) Epoch: [70][2090/11272] Time 0.827 (0.777) Data 0.001 (0.003) Loss 1.6453 (1.6777) Prec@1 56.250 (55.018) Prec@5 85.625 (83.940) Epoch: [70][2100/11272] Time 0.693 (0.777) Data 0.001 (0.003) Loss 1.6722 (1.6776) Prec@1 52.500 (55.010) Prec@5 81.875 (83.947) Epoch: [70][2110/11272] Time 0.730 (0.777) Data 0.001 (0.003) Loss 1.9271 (1.6778) Prec@1 48.750 (55.010) Prec@5 79.375 (83.945) Epoch: [70][2120/11272] Time 0.832 (0.777) Data 0.001 (0.003) Loss 1.7294 (1.6781) Prec@1 53.750 (55.001) Prec@5 81.875 (83.937) Epoch: [70][2130/11272] Time 0.825 (0.777) Data 0.002 (0.003) Loss 1.6559 (1.6780) Prec@1 53.750 (55.002) Prec@5 83.125 (83.936) Epoch: [70][2140/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.6325 (1.6783) Prec@1 53.125 (54.989) Prec@5 87.500 (83.932) Epoch: [70][2150/11272] Time 0.792 (0.777) Data 0.001 (0.003) Loss 1.7965 (1.6784) Prec@1 55.000 (54.988) Prec@5 81.875 (83.932) Epoch: [70][2160/11272] Time 0.807 (0.777) Data 0.001 (0.003) Loss 1.5442 (1.6783) Prec@1 58.125 (54.994) Prec@5 86.875 (83.934) Epoch: [70][2170/11272] Time 0.711 (0.777) Data 0.001 (0.003) Loss 1.6011 (1.6784) Prec@1 57.500 (54.997) Prec@5 84.375 (83.927) Epoch: [70][2180/11272] Time 0.698 (0.777) Data 0.001 (0.003) Loss 1.6172 (1.6787) Prec@1 55.625 (54.993) Prec@5 84.375 (83.916) Epoch: [70][2190/11272] Time 0.855 (0.777) Data 0.002 (0.003) Loss 1.6868 (1.6788) Prec@1 56.250 (54.987) Prec@5 84.375 (83.912) Epoch: [70][2200/11272] Time 0.826 (0.777) Data 0.002 (0.003) Loss 1.7168 (1.6790) Prec@1 55.000 (54.977) Prec@5 82.500 (83.908) Epoch: [70][2210/11272] Time 0.719 (0.777) Data 0.001 (0.003) Loss 1.7251 (1.6791) Prec@1 56.875 (54.981) Prec@5 82.500 (83.905) Epoch: [70][2220/11272] Time 0.705 (0.777) Data 0.001 (0.003) Loss 1.6245 (1.6790) Prec@1 52.500 (54.978) Prec@5 86.250 (83.901) Epoch: [70][2230/11272] Time 0.812 (0.777) Data 0.001 (0.003) Loss 1.5280 (1.6789) Prec@1 55.625 (54.986) Prec@5 86.250 (83.905) Epoch: [70][2240/11272] Time 0.871 (0.777) Data 0.002 (0.003) Loss 1.6727 (1.6790) Prec@1 50.625 (54.987) Prec@5 85.625 (83.905) Epoch: [70][2250/11272] Time 0.719 (0.777) Data 0.001 (0.003) Loss 1.6707 (1.6788) Prec@1 55.000 (54.986) Prec@5 83.750 (83.906) Epoch: [70][2260/11272] Time 0.703 (0.777) Data 0.001 (0.003) Loss 1.6934 (1.6789) Prec@1 53.750 (54.978) Prec@5 83.125 (83.904) Epoch: [70][2270/11272] Time 0.827 (0.777) Data 0.001 (0.003) Loss 1.6360 (1.6789) Prec@1 53.750 (54.974) Prec@5 85.000 (83.909) Epoch: [70][2280/11272] Time 0.713 (0.777) Data 0.001 (0.003) Loss 1.7182 (1.6792) Prec@1 51.875 (54.969) Prec@5 83.125 (83.907) Epoch: [70][2290/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.5231 (1.6790) Prec@1 59.375 (54.973) Prec@5 88.750 (83.912) Epoch: [70][2300/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.6621 (1.6791) Prec@1 53.750 (54.968) Prec@5 83.750 (83.906) Epoch: [70][2310/11272] Time 0.819 (0.776) Data 0.001 (0.003) Loss 1.5510 (1.6789) Prec@1 58.750 (54.975) Prec@5 86.875 (83.910) Epoch: [70][2320/11272] Time 0.698 (0.776) Data 0.001 (0.003) Loss 1.5835 (1.6788) Prec@1 61.250 (54.984) Prec@5 85.625 (83.911) Epoch: [70][2330/11272] Time 0.709 (0.776) Data 0.002 (0.003) Loss 1.9775 (1.6787) Prec@1 47.500 (54.990) Prec@5 78.750 (83.911) Epoch: [70][2340/11272] Time 0.820 (0.776) Data 0.002 (0.003) Loss 1.8171 (1.6789) Prec@1 55.000 (54.989) Prec@5 80.000 (83.908) Epoch: [70][2350/11272] Time 0.825 (0.776) Data 0.001 (0.003) Loss 1.5864 (1.6785) Prec@1 52.500 (54.994) Prec@5 83.750 (83.919) Epoch: [70][2360/11272] Time 0.736 (0.776) Data 0.001 (0.003) Loss 1.6894 (1.6786) Prec@1 56.250 (54.990) Prec@5 81.250 (83.919) Epoch: [70][2370/11272] Time 0.728 (0.776) Data 0.001 (0.003) Loss 1.7008 (1.6787) Prec@1 56.250 (54.991) Prec@5 83.750 (83.915) Epoch: [70][2380/11272] Time 0.817 (0.776) Data 0.001 (0.003) Loss 1.6790 (1.6785) Prec@1 60.000 (54.997) Prec@5 83.125 (83.917) Epoch: [70][2390/11272] Time 0.838 (0.776) Data 0.002 (0.003) Loss 1.7603 (1.6787) Prec@1 50.000 (54.992) Prec@5 83.750 (83.914) Epoch: [70][2400/11272] Time 0.752 (0.776) Data 0.002 (0.003) Loss 1.6534 (1.6783) Prec@1 54.375 (55.008) Prec@5 88.125 (83.920) Epoch: [70][2410/11272] Time 0.850 (0.776) Data 0.001 (0.003) Loss 1.7384 (1.6785) Prec@1 51.250 (55.008) Prec@5 81.250 (83.920) Epoch: [70][2420/11272] Time 0.831 (0.777) Data 0.001 (0.003) Loss 1.6789 (1.6784) Prec@1 53.750 (55.011) Prec@5 85.625 (83.918) Epoch: [70][2430/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.5926 (1.6784) Prec@1 53.125 (55.010) Prec@5 86.875 (83.918) Epoch: [70][2440/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.8062 (1.6787) Prec@1 49.375 (55.007) Prec@5 83.125 (83.913) Epoch: [70][2450/11272] Time 0.842 (0.776) Data 0.002 (0.003) Loss 1.8355 (1.6786) Prec@1 53.125 (55.012) Prec@5 81.250 (83.910) Epoch: [70][2460/11272] Time 0.824 (0.776) Data 0.001 (0.003) Loss 1.6985 (1.6785) Prec@1 51.875 (55.008) Prec@5 88.125 (83.913) Epoch: [70][2470/11272] Time 0.729 (0.776) Data 0.001 (0.003) Loss 1.7226 (1.6787) Prec@1 56.875 (55.001) Prec@5 83.125 (83.911) Epoch: [70][2480/11272] Time 0.723 (0.776) Data 0.001 (0.003) Loss 1.6208 (1.6785) Prec@1 56.250 (55.004) Prec@5 84.375 (83.916) Epoch: [70][2490/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.8595 (1.6786) Prec@1 46.875 (55.001) Prec@5 80.000 (83.914) Epoch: [70][2500/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.6488 (1.6786) Prec@1 53.125 (54.998) Prec@5 86.250 (83.916) Epoch: [70][2510/11272] Time 0.703 (0.776) Data 0.001 (0.003) Loss 1.6696 (1.6786) Prec@1 52.500 (54.995) Prec@5 85.000 (83.914) Epoch: [70][2520/11272] Time 0.704 (0.776) Data 0.001 (0.003) Loss 1.8069 (1.6788) Prec@1 51.250 (54.988) Prec@5 80.000 (83.910) Epoch: [70][2530/11272] Time 0.823 (0.776) Data 0.002 (0.003) Loss 1.7422 (1.6786) Prec@1 55.000 (55.002) Prec@5 79.375 (83.908) Epoch: [70][2540/11272] Time 0.755 (0.776) Data 0.003 (0.003) Loss 1.8893 (1.6789) Prec@1 50.000 (54.998) Prec@5 80.625 (83.899) Epoch: [70][2550/11272] Time 0.694 (0.776) Data 0.001 (0.003) Loss 1.7750 (1.6791) Prec@1 51.875 (55.001) Prec@5 80.625 (83.894) Epoch: [70][2560/11272] Time 0.844 (0.776) Data 0.001 (0.003) Loss 1.7214 (1.6792) Prec@1 53.750 (54.995) Prec@5 81.875 (83.893) Epoch: [70][2570/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.8735 (1.6792) Prec@1 55.000 (54.996) Prec@5 81.250 (83.893) Epoch: [70][2580/11272] Time 0.704 (0.776) Data 0.001 (0.003) Loss 1.7545 (1.6796) Prec@1 54.375 (54.983) Prec@5 83.125 (83.890) Epoch: [70][2590/11272] Time 0.739 (0.776) Data 0.002 (0.003) Loss 1.5032 (1.6794) Prec@1 60.625 (54.989) Prec@5 83.750 (83.892) Epoch: [70][2600/11272] Time 0.847 (0.776) Data 0.002 (0.003) Loss 1.6353 (1.6793) Prec@1 51.875 (54.990) Prec@5 83.750 (83.892) Epoch: [70][2610/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.6778 (1.6792) Prec@1 55.000 (54.993) Prec@5 87.500 (83.894) Epoch: [70][2620/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.6677 (1.6795) Prec@1 55.000 (54.983) Prec@5 85.625 (83.892) Epoch: [70][2630/11272] Time 0.744 (0.776) Data 0.001 (0.003) Loss 1.6463 (1.6796) Prec@1 55.000 (54.981) Prec@5 85.000 (83.887) Epoch: [70][2640/11272] Time 0.865 (0.776) Data 0.002 (0.003) Loss 1.7542 (1.6799) Prec@1 53.750 (54.971) Prec@5 84.375 (83.884) Epoch: [70][2650/11272] Time 0.818 (0.776) Data 0.001 (0.003) Loss 1.4436 (1.6797) Prec@1 58.125 (54.972) Prec@5 88.125 (83.886) Epoch: [70][2660/11272] Time 0.741 (0.776) Data 0.001 (0.003) Loss 1.7350 (1.6797) Prec@1 53.125 (54.968) Prec@5 83.750 (83.888) Epoch: [70][2670/11272] Time 0.861 (0.776) Data 0.001 (0.003) Loss 1.4604 (1.6794) Prec@1 61.250 (54.972) Prec@5 90.625 (83.892) Epoch: [70][2680/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.4642 (1.6793) Prec@1 58.125 (54.974) Prec@5 88.125 (83.896) Epoch: [70][2690/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.8120 (1.6795) Prec@1 52.500 (54.970) Prec@5 81.875 (83.891) Epoch: [70][2700/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.8759 (1.6796) Prec@1 50.625 (54.968) Prec@5 80.000 (83.889) Epoch: [70][2710/11272] Time 0.844 (0.776) Data 0.001 (0.003) Loss 1.7012 (1.6796) Prec@1 55.000 (54.968) Prec@5 81.875 (83.887) Epoch: [70][2720/11272] Time 0.885 (0.776) Data 0.002 (0.003) Loss 1.6893 (1.6794) Prec@1 55.000 (54.970) Prec@5 85.000 (83.889) Epoch: [70][2730/11272] Time 0.721 (0.776) Data 0.001 (0.003) Loss 1.7063 (1.6795) Prec@1 55.000 (54.971) Prec@5 80.000 (83.884) Epoch: [70][2740/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.6113 (1.6795) Prec@1 56.250 (54.973) Prec@5 85.000 (83.885) Epoch: [70][2750/11272] Time 0.857 (0.776) Data 0.002 (0.003) Loss 1.8116 (1.6797) Prec@1 50.625 (54.970) Prec@5 82.500 (83.881) Epoch: [70][2760/11272] Time 0.822 (0.776) Data 0.001 (0.003) Loss 1.7139 (1.6798) Prec@1 55.000 (54.966) Prec@5 81.875 (83.879) Epoch: [70][2770/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.5562 (1.6801) Prec@1 55.000 (54.959) Prec@5 85.625 (83.878) Epoch: [70][2780/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.8465 (1.6802) Prec@1 50.625 (54.964) Prec@5 80.000 (83.875) Epoch: [70][2790/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.6594 (1.6802) Prec@1 51.250 (54.961) Prec@5 84.375 (83.873) Epoch: [70][2800/11272] Time 0.774 (0.776) Data 0.004 (0.003) Loss 1.6216 (1.6801) Prec@1 55.000 (54.961) Prec@5 85.000 (83.874) Epoch: [70][2810/11272] Time 0.718 (0.776) Data 0.001 (0.003) Loss 1.3524 (1.6801) Prec@1 68.750 (54.963) Prec@5 86.250 (83.876) Epoch: [70][2820/11272] Time 0.819 (0.776) Data 0.001 (0.003) Loss 1.6279 (1.6800) Prec@1 57.500 (54.968) Prec@5 83.125 (83.878) Epoch: [70][2830/11272] Time 0.809 (0.776) Data 0.002 (0.003) Loss 1.4895 (1.6803) Prec@1 59.375 (54.959) Prec@5 86.250 (83.871) Epoch: [70][2840/11272] Time 0.745 (0.776) Data 0.001 (0.003) Loss 1.6860 (1.6802) Prec@1 55.625 (54.961) Prec@5 86.250 (83.876) Epoch: [70][2850/11272] Time 0.725 (0.776) Data 0.001 (0.003) Loss 1.6985 (1.6802) Prec@1 56.250 (54.961) Prec@5 82.500 (83.874) Epoch: [70][2860/11272] Time 0.845 (0.776) Data 0.001 (0.003) Loss 1.5296 (1.6803) Prec@1 58.750 (54.963) Prec@5 88.125 (83.876) Epoch: [70][2870/11272] Time 0.849 (0.776) Data 0.002 (0.003) Loss 1.8465 (1.6805) Prec@1 55.625 (54.960) Prec@5 81.250 (83.872) Epoch: [70][2880/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.7231 (1.6806) Prec@1 51.250 (54.953) Prec@5 84.375 (83.873) Epoch: [70][2890/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.7374 (1.6808) Prec@1 50.625 (54.947) Prec@5 83.125 (83.874) Epoch: [70][2900/11272] Time 0.816 (0.776) Data 0.002 (0.003) Loss 1.5940 (1.6806) Prec@1 58.750 (54.954) Prec@5 85.625 (83.876) Epoch: [70][2910/11272] Time 0.818 (0.776) Data 0.002 (0.003) Loss 1.5317 (1.6806) Prec@1 57.500 (54.952) Prec@5 84.375 (83.876) Epoch: [70][2920/11272] Time 0.699 (0.776) Data 0.001 (0.003) Loss 1.6193 (1.6806) Prec@1 56.250 (54.953) Prec@5 83.125 (83.876) Epoch: [70][2930/11272] Time 0.846 (0.776) Data 0.001 (0.003) Loss 1.6633 (1.6806) Prec@1 56.875 (54.952) Prec@5 82.500 (83.873) Epoch: [70][2940/11272] Time 0.839 (0.776) Data 0.002 (0.003) Loss 1.5122 (1.6805) Prec@1 58.750 (54.958) Prec@5 88.125 (83.875) Epoch: [70][2950/11272] Time 0.741 (0.776) Data 0.001 (0.003) Loss 1.7362 (1.6806) Prec@1 51.875 (54.962) Prec@5 81.250 (83.872) Epoch: [70][2960/11272] Time 0.703 (0.776) Data 0.001 (0.003) Loss 1.4978 (1.6804) Prec@1 60.625 (54.964) Prec@5 84.375 (83.875) Epoch: [70][2970/11272] Time 0.830 (0.776) Data 0.001 (0.003) Loss 1.6685 (1.6803) Prec@1 51.875 (54.967) Prec@5 82.500 (83.877) Epoch: [70][2980/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.8089 (1.6803) Prec@1 53.125 (54.970) Prec@5 81.875 (83.879) Epoch: [70][2990/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.6888 (1.6802) Prec@1 58.125 (54.976) Prec@5 85.625 (83.880) Epoch: [70][3000/11272] Time 0.749 (0.776) Data 0.001 (0.003) Loss 1.7329 (1.6802) Prec@1 57.500 (54.974) Prec@5 84.375 (83.880) Epoch: [70][3010/11272] Time 0.847 (0.776) Data 0.002 (0.003) Loss 1.8770 (1.6801) Prec@1 51.875 (54.978) Prec@5 80.000 (83.883) Epoch: [70][3020/11272] Time 0.784 (0.776) Data 0.001 (0.003) Loss 1.7579 (1.6801) Prec@1 53.125 (54.980) Prec@5 85.000 (83.884) Epoch: [70][3030/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.6114 (1.6801) Prec@1 58.750 (54.982) Prec@5 88.750 (83.885) Epoch: [70][3040/11272] Time 0.689 (0.776) Data 0.001 (0.003) Loss 1.6661 (1.6801) Prec@1 56.875 (54.983) Prec@5 81.250 (83.883) Epoch: [70][3050/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.7758 (1.6800) Prec@1 49.375 (54.983) Prec@5 81.875 (83.884) Epoch: [70][3060/11272] Time 0.814 (0.776) Data 0.002 (0.003) Loss 1.7418 (1.6801) Prec@1 51.875 (54.980) Prec@5 83.125 (83.882) Epoch: [70][3070/11272] Time 0.730 (0.776) Data 0.001 (0.003) Loss 1.3866 (1.6799) Prec@1 66.875 (54.984) Prec@5 88.125 (83.886) Epoch: [70][3080/11272] Time 0.809 (0.776) Data 0.001 (0.003) Loss 1.3141 (1.6795) Prec@1 62.500 (54.996) Prec@5 91.250 (83.890) Epoch: [70][3090/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.8369 (1.6797) Prec@1 55.000 (55.000) Prec@5 81.875 (83.887) Epoch: [70][3100/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.8182 (1.6798) Prec@1 55.000 (54.999) Prec@5 77.500 (83.883) Epoch: [70][3110/11272] Time 0.708 (0.776) Data 0.001 (0.003) Loss 1.5735 (1.6798) Prec@1 52.500 (55.004) Prec@5 88.750 (83.887) Epoch: [70][3120/11272] Time 0.836 (0.776) Data 0.001 (0.003) Loss 1.8434 (1.6799) Prec@1 53.750 (55.002) Prec@5 81.250 (83.886) Epoch: [70][3130/11272] Time 0.840 (0.776) Data 0.002 (0.003) Loss 1.7760 (1.6797) Prec@1 53.750 (55.007) Prec@5 83.125 (83.888) Epoch: [70][3140/11272] Time 0.701 (0.776) Data 0.001 (0.003) Loss 1.8952 (1.6798) Prec@1 46.875 (55.003) Prec@5 76.250 (83.887) Epoch: [70][3150/11272] Time 0.727 (0.776) Data 0.001 (0.003) Loss 1.6958 (1.6796) Prec@1 52.500 (55.009) Prec@5 85.000 (83.886) Epoch: [70][3160/11272] Time 0.817 (0.776) Data 0.001 (0.003) Loss 1.6137 (1.6794) Prec@1 60.000 (55.015) Prec@5 85.000 (83.890) Epoch: [70][3170/11272] Time 0.809 (0.776) Data 0.001 (0.003) Loss 1.9362 (1.6795) Prec@1 45.625 (55.014) Prec@5 82.500 (83.888) Epoch: [70][3180/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.8143 (1.6797) Prec@1 53.750 (55.009) Prec@5 81.875 (83.885) Epoch: [70][3190/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.6081 (1.6795) Prec@1 53.750 (55.014) Prec@5 85.000 (83.887) Epoch: [70][3200/11272] Time 0.845 (0.776) Data 0.001 (0.002) Loss 1.5923 (1.6793) Prec@1 58.125 (55.023) Prec@5 84.375 (83.890) Epoch: [70][3210/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.5116 (1.6792) Prec@1 61.250 (55.026) Prec@5 85.625 (83.889) Epoch: [70][3220/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7482 (1.6792) Prec@1 53.125 (55.029) Prec@5 80.625 (83.889) Epoch: [70][3230/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.3773 (1.6793) Prec@1 60.000 (55.025) Prec@5 87.500 (83.886) Epoch: [70][3240/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5277 (1.6790) Prec@1 58.750 (55.034) Prec@5 86.875 (83.890) Epoch: [70][3250/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.8214 (1.6790) Prec@1 51.875 (55.032) Prec@5 83.750 (83.894) Epoch: [70][3260/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.5529 (1.6788) Prec@1 61.875 (55.038) Prec@5 86.875 (83.901) Epoch: [70][3270/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.5738 (1.6786) Prec@1 56.875 (55.042) Prec@5 83.750 (83.903) Epoch: [70][3280/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.6614 (1.6786) Prec@1 54.375 (55.042) Prec@5 85.000 (83.902) Epoch: [70][3290/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.8738 (1.6785) Prec@1 50.000 (55.045) Prec@5 80.625 (83.901) Epoch: [70][3300/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7384 (1.6787) Prec@1 55.625 (55.038) Prec@5 78.750 (83.900) Epoch: [70][3310/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.8609 (1.6788) Prec@1 50.625 (55.038) Prec@5 80.625 (83.898) Epoch: [70][3320/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.8575 (1.6788) Prec@1 51.250 (55.034) Prec@5 81.250 (83.901) Epoch: [70][3330/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.8573 (1.6789) Prec@1 49.375 (55.032) Prec@5 78.125 (83.899) Epoch: [70][3340/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.6097 (1.6789) Prec@1 58.750 (55.028) Prec@5 90.000 (83.899) Epoch: [70][3350/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.9200 (1.6789) Prec@1 48.125 (55.031) Prec@5 80.000 (83.900) Epoch: [70][3360/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7993 (1.6789) Prec@1 51.250 (55.028) Prec@5 80.000 (83.901) Epoch: [70][3370/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.8436 (1.6790) Prec@1 47.500 (55.024) Prec@5 82.500 (83.904) Epoch: [70][3380/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.6582 (1.6793) Prec@1 59.375 (55.021) Prec@5 85.000 (83.898) Epoch: [70][3390/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.3338 (1.6792) Prec@1 64.375 (55.023) Prec@5 86.875 (83.898) Epoch: [70][3400/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5429 (1.6792) Prec@1 60.625 (55.025) Prec@5 85.625 (83.897) Epoch: [70][3410/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7409 (1.6793) Prec@1 48.125 (55.023) Prec@5 85.000 (83.894) Epoch: [70][3420/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.8143 (1.6795) Prec@1 50.000 (55.020) Prec@5 81.875 (83.893) Epoch: [70][3430/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.9494 (1.6798) Prec@1 46.250 (55.013) Prec@5 78.125 (83.890) Epoch: [70][3440/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.6195 (1.6798) Prec@1 60.625 (55.015) Prec@5 85.000 (83.891) Epoch: [70][3450/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.5902 (1.6798) Prec@1 59.375 (55.020) Prec@5 86.875 (83.889) Epoch: [70][3460/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.7540 (1.6798) Prec@1 53.125 (55.019) Prec@5 83.750 (83.890) Epoch: [70][3470/11272] Time 0.757 (0.776) Data 0.003 (0.002) Loss 1.7808 (1.6799) Prec@1 54.375 (55.021) Prec@5 80.625 (83.888) Epoch: [70][3480/11272] Time 0.747 (0.776) Data 0.001 (0.002) Loss 1.7095 (1.6800) Prec@1 55.625 (55.019) Prec@5 83.750 (83.884) Epoch: [70][3490/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.4779 (1.6801) Prec@1 62.500 (55.016) Prec@5 85.625 (83.882) Epoch: [70][3500/11272] Time 0.875 (0.776) Data 0.002 (0.002) Loss 1.6851 (1.6801) Prec@1 58.125 (55.018) Prec@5 83.125 (83.884) Epoch: [70][3510/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7916 (1.6800) Prec@1 51.250 (55.019) Prec@5 83.125 (83.884) Epoch: [70][3520/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.5182 (1.6797) Prec@1 64.375 (55.028) Prec@5 85.625 (83.888) Epoch: [70][3530/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8875 (1.6801) Prec@1 50.000 (55.018) Prec@5 78.125 (83.882) Epoch: [70][3540/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.6638 (1.6801) Prec@1 53.750 (55.019) Prec@5 85.000 (83.881) Epoch: [70][3550/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.8284 (1.6802) Prec@1 51.875 (55.020) Prec@5 84.375 (83.878) Epoch: [70][3560/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7054 (1.6803) Prec@1 55.625 (55.018) Prec@5 79.375 (83.874) Epoch: [70][3570/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.6702 (1.6804) Prec@1 53.750 (55.018) Prec@5 83.125 (83.872) Epoch: [70][3580/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.6752 (1.6803) Prec@1 56.250 (55.027) Prec@5 83.125 (83.870) Epoch: [70][3590/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.6496 (1.6802) Prec@1 59.375 (55.028) Prec@5 84.375 (83.869) Epoch: [70][3600/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.6883 (1.6802) Prec@1 56.250 (55.028) Prec@5 85.625 (83.870) Epoch: [70][3610/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.7196 (1.6803) Prec@1 53.125 (55.029) Prec@5 86.875 (83.872) Epoch: [70][3620/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.7320 (1.6801) Prec@1 56.875 (55.031) Prec@5 83.750 (83.874) Epoch: [70][3630/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.4566 (1.6802) Prec@1 57.500 (55.030) Prec@5 86.875 (83.875) Epoch: [70][3640/11272] Time 0.857 (0.776) Data 0.002 (0.002) Loss 1.8251 (1.6800) Prec@1 50.000 (55.037) Prec@5 78.750 (83.879) Epoch: [70][3650/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.7839 (1.6801) Prec@1 51.875 (55.031) Prec@5 82.500 (83.878) Epoch: [70][3660/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.7032 (1.6802) Prec@1 56.250 (55.031) Prec@5 81.875 (83.875) Epoch: [70][3670/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.6470 (1.6804) Prec@1 53.750 (55.026) Prec@5 83.750 (83.871) Epoch: [70][3680/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.7673 (1.6803) Prec@1 53.125 (55.031) Prec@5 81.250 (83.872) Epoch: [70][3690/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.5468 (1.6802) Prec@1 55.000 (55.030) Prec@5 89.375 (83.873) Epoch: [70][3700/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5135 (1.6801) Prec@1 56.875 (55.035) Prec@5 85.625 (83.876) Epoch: [70][3710/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.7473 (1.6802) Prec@1 56.875 (55.035) Prec@5 83.125 (83.874) Epoch: [70][3720/11272] Time 0.851 (0.776) Data 0.002 (0.002) Loss 1.7340 (1.6801) Prec@1 51.875 (55.036) Prec@5 84.375 (83.875) Epoch: [70][3730/11272] Time 0.717 (0.776) Data 0.003 (0.002) Loss 1.4912 (1.6802) Prec@1 61.250 (55.038) Prec@5 88.125 (83.874) Epoch: [70][3740/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.6919 (1.6803) Prec@1 51.875 (55.034) Prec@5 83.125 (83.872) Epoch: [70][3750/11272] Time 0.789 (0.776) Data 0.001 (0.002) Loss 1.5653 (1.6802) Prec@1 58.750 (55.037) Prec@5 83.750 (83.872) Epoch: [70][3760/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.5781 (1.6802) Prec@1 56.250 (55.037) Prec@5 85.625 (83.872) Epoch: [70][3770/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7984 (1.6805) Prec@1 46.875 (55.032) Prec@5 81.250 (83.865) Epoch: [70][3780/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6181 (1.6803) Prec@1 60.000 (55.033) Prec@5 80.625 (83.870) Epoch: [70][3790/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.7699 (1.6804) Prec@1 53.750 (55.033) Prec@5 88.125 (83.868) Epoch: [70][3800/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7675 (1.6802) Prec@1 50.000 (55.037) Prec@5 80.625 (83.869) Epoch: [70][3810/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.5834 (1.6803) Prec@1 56.875 (55.036) Prec@5 85.625 (83.871) Epoch: [70][3820/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.7509 (1.6804) Prec@1 50.000 (55.036) Prec@5 81.250 (83.867) Epoch: [70][3830/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.6969 (1.6804) Prec@1 59.375 (55.036) Prec@5 84.375 (83.868) Epoch: [70][3840/11272] Time 0.831 (0.776) Data 0.002 (0.002) Loss 1.7117 (1.6803) Prec@1 54.375 (55.036) Prec@5 85.000 (83.871) Epoch: [70][3850/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6151 (1.6805) Prec@1 58.750 (55.034) Prec@5 86.875 (83.871) Epoch: [70][3860/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.6224 (1.6805) Prec@1 54.375 (55.034) Prec@5 86.250 (83.871) Epoch: [70][3870/11272] Time 0.817 (0.776) Data 0.002 (0.002) Loss 1.6507 (1.6805) Prec@1 54.375 (55.032) Prec@5 82.500 (83.868) Epoch: [70][3880/11272] Time 0.758 (0.776) Data 0.001 (0.002) Loss 1.9385 (1.6807) Prec@1 51.250 (55.030) Prec@5 78.750 (83.864) Epoch: [70][3890/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.5527 (1.6809) Prec@1 60.625 (55.028) Prec@5 85.000 (83.861) Epoch: [70][3900/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.5730 (1.6807) Prec@1 61.250 (55.034) Prec@5 85.625 (83.865) Epoch: [70][3910/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.7147 (1.6808) Prec@1 49.375 (55.026) Prec@5 85.625 (83.863) Epoch: [70][3920/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5237 (1.6809) Prec@1 54.375 (55.022) Prec@5 88.125 (83.861) Epoch: [70][3930/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6919 (1.6810) Prec@1 55.000 (55.021) Prec@5 78.750 (83.861) Epoch: [70][3940/11272] Time 0.779 (0.776) Data 0.001 (0.002) Loss 1.5815 (1.6811) Prec@1 58.750 (55.022) Prec@5 85.625 (83.858) Epoch: [70][3950/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.8761 (1.6812) Prec@1 55.000 (55.022) Prec@5 79.375 (83.855) Epoch: [70][3960/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7083 (1.6813) Prec@1 55.000 (55.026) Prec@5 82.500 (83.852) Epoch: [70][3970/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.8445 (1.6813) Prec@1 50.000 (55.026) Prec@5 79.375 (83.849) Epoch: [70][3980/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.7708 (1.6815) Prec@1 56.250 (55.022) Prec@5 80.625 (83.842) Epoch: [70][3990/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6719 (1.6814) Prec@1 58.750 (55.025) Prec@5 84.375 (83.843) Epoch: [70][4000/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.6343 (1.6813) Prec@1 56.875 (55.023) Prec@5 82.500 (83.844) Epoch: [70][4010/11272] Time 0.863 (0.776) Data 0.001 (0.002) Loss 1.7202 (1.6813) Prec@1 55.625 (55.027) Prec@5 81.875 (83.846) Epoch: [70][4020/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.7639 (1.6813) Prec@1 46.250 (55.025) Prec@5 83.125 (83.843) Epoch: [70][4030/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.7068 (1.6813) Prec@1 55.000 (55.029) Prec@5 83.125 (83.846) Epoch: [70][4040/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5614 (1.6813) Prec@1 55.000 (55.024) Prec@5 83.750 (83.846) Epoch: [70][4050/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.5117 (1.6813) Prec@1 58.750 (55.019) Prec@5 86.250 (83.846) Epoch: [70][4060/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7681 (1.6816) Prec@1 55.000 (55.016) Prec@5 82.500 (83.842) Epoch: [70][4070/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6179 (1.6816) Prec@1 50.000 (55.012) Prec@5 85.000 (83.839) Epoch: [70][4080/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.6893 (1.6815) Prec@1 53.125 (55.019) Prec@5 81.875 (83.840) Epoch: [70][4090/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.5946 (1.6817) Prec@1 60.000 (55.013) Prec@5 87.500 (83.837) Epoch: [70][4100/11272] Time 0.807 (0.776) Data 0.002 (0.002) Loss 1.8351 (1.6817) Prec@1 51.250 (55.016) Prec@5 82.500 (83.839) Epoch: [70][4110/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.7614 (1.6815) Prec@1 53.125 (55.017) Prec@5 80.625 (83.844) Epoch: [70][4120/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.7582 (1.6815) Prec@1 50.625 (55.016) Prec@5 82.500 (83.845) Epoch: [70][4130/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.7945 (1.6817) Prec@1 55.000 (55.011) Prec@5 82.500 (83.841) Epoch: [70][4140/11272] Time 0.687 (0.776) Data 0.001 (0.002) Loss 1.6461 (1.6817) Prec@1 51.250 (55.010) Prec@5 86.875 (83.840) Epoch: [70][4150/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6096 (1.6818) Prec@1 56.875 (55.008) Prec@5 86.875 (83.839) Epoch: [70][4160/11272] Time 0.839 (0.776) Data 0.002 (0.002) Loss 1.7790 (1.6819) Prec@1 53.125 (55.007) Prec@5 84.375 (83.838) Epoch: [70][4170/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.6756 (1.6820) Prec@1 57.500 (55.003) Prec@5 80.625 (83.834) Epoch: [70][4180/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.7118 (1.6819) Prec@1 54.375 (55.008) Prec@5 84.375 (83.838) Epoch: [70][4190/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.8724 (1.6818) Prec@1 53.750 (55.009) Prec@5 79.375 (83.840) Epoch: [70][4200/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6072 (1.6819) Prec@1 57.500 (55.010) Prec@5 86.875 (83.838) Epoch: [70][4210/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.7716 (1.6820) Prec@1 51.250 (55.002) Prec@5 85.000 (83.836) Epoch: [70][4220/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7873 (1.6820) Prec@1 51.875 (55.003) Prec@5 82.500 (83.838) Epoch: [70][4230/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6582 (1.6821) Prec@1 51.875 (55.000) Prec@5 84.375 (83.836) Epoch: [70][4240/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8594 (1.6820) Prec@1 55.625 (55.005) Prec@5 81.250 (83.836) Epoch: [70][4250/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.9112 (1.6821) Prec@1 55.000 (55.002) Prec@5 76.875 (83.833) Epoch: [70][4260/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.5372 (1.6821) Prec@1 54.375 (55.003) Prec@5 87.500 (83.835) Epoch: [70][4270/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6964 (1.6822) Prec@1 55.625 (55.002) Prec@5 81.875 (83.834) Epoch: [70][4280/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.8625 (1.6821) Prec@1 46.250 (55.002) Prec@5 81.250 (83.836) Epoch: [70][4290/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.6178 (1.6821) Prec@1 53.750 (55.001) Prec@5 86.250 (83.840) Epoch: [70][4300/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.7136 (1.6821) Prec@1 56.875 (55.002) Prec@5 81.875 (83.840) Epoch: [70][4310/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.6766 (1.6821) Prec@1 54.375 (54.999) Prec@5 85.625 (83.841) Epoch: [70][4320/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.5240 (1.6821) Prec@1 56.875 (54.999) Prec@5 88.750 (83.841) Epoch: [70][4330/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.3976 (1.6820) Prec@1 62.500 (55.000) Prec@5 89.375 (83.841) Epoch: [70][4340/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.7344 (1.6819) Prec@1 52.500 (55.002) Prec@5 83.750 (83.842) Epoch: [70][4350/11272] Time 0.815 (0.776) Data 0.002 (0.002) Loss 1.6548 (1.6820) Prec@1 51.250 (54.994) Prec@5 82.500 (83.841) Epoch: [70][4360/11272] Time 0.859 (0.776) Data 0.002 (0.002) Loss 1.4489 (1.6819) Prec@1 57.500 (54.997) Prec@5 85.000 (83.843) Epoch: [70][4370/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8514 (1.6819) Prec@1 54.375 (54.996) Prec@5 80.000 (83.846) Epoch: [70][4380/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.5794 (1.6820) Prec@1 56.875 (54.995) Prec@5 84.375 (83.845) Epoch: [70][4390/11272] Time 0.890 (0.776) Data 0.002 (0.002) Loss 1.4692 (1.6821) Prec@1 60.000 (54.992) Prec@5 88.125 (83.842) Epoch: [70][4400/11272] Time 0.703 (0.776) Data 0.003 (0.002) Loss 1.9388 (1.6823) Prec@1 48.750 (54.984) Prec@5 78.750 (83.835) Epoch: [70][4410/11272] Time 0.740 (0.776) Data 0.002 (0.002) Loss 1.7141 (1.6822) Prec@1 53.125 (54.985) Prec@5 83.125 (83.838) Epoch: [70][4420/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.6420 (1.6822) Prec@1 56.250 (54.987) Prec@5 85.000 (83.838) Epoch: [70][4430/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.7354 (1.6821) Prec@1 49.375 (54.986) Prec@5 83.750 (83.841) Epoch: [70][4440/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.5551 (1.6821) Prec@1 57.500 (54.987) Prec@5 88.125 (83.844) Epoch: [70][4450/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.7140 (1.6819) Prec@1 56.875 (54.991) Prec@5 82.500 (83.847) Epoch: [70][4460/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.6710 (1.6819) Prec@1 53.750 (54.990) Prec@5 84.375 (83.850) Epoch: [70][4470/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.6023 (1.6818) Prec@1 55.000 (54.990) Prec@5 86.875 (83.852) Epoch: [70][4480/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.7682 (1.6819) Prec@1 47.500 (54.987) Prec@5 85.625 (83.853) Epoch: [70][4490/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8142 (1.6820) Prec@1 56.250 (54.986) Prec@5 80.000 (83.850) Epoch: [70][4500/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.8967 (1.6820) Prec@1 46.875 (54.984) Prec@5 81.250 (83.850) Epoch: [70][4510/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5685 (1.6821) Prec@1 53.125 (54.983) Prec@5 86.250 (83.850) Epoch: [70][4520/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8836 (1.6823) Prec@1 55.000 (54.981) Prec@5 80.625 (83.848) Epoch: [70][4530/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.5726 (1.6822) Prec@1 58.125 (54.983) Prec@5 85.625 (83.851) Epoch: [70][4540/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.7253 (1.6822) Prec@1 49.375 (54.985) Prec@5 83.125 (83.851) Epoch: [70][4550/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5966 (1.6822) Prec@1 54.375 (54.985) Prec@5 83.750 (83.850) Epoch: [70][4560/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.4355 (1.6822) Prec@1 60.625 (54.990) Prec@5 88.125 (83.849) Epoch: [70][4570/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.6027 (1.6820) Prec@1 56.875 (54.995) Prec@5 86.250 (83.850) Epoch: [70][4580/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.8765 (1.6820) Prec@1 46.250 (54.993) Prec@5 82.500 (83.852) Epoch: [70][4590/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6561 (1.6818) Prec@1 55.625 (54.994) Prec@5 84.375 (83.854) Epoch: [70][4600/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.8035 (1.6819) Prec@1 56.875 (54.993) Prec@5 80.000 (83.852) Epoch: [70][4610/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.6129 (1.6819) Prec@1 53.125 (54.995) Prec@5 84.375 (83.851) Epoch: [70][4620/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.5415 (1.6817) Prec@1 58.125 (54.997) Prec@5 85.625 (83.853) Epoch: [70][4630/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5615 (1.6818) Prec@1 57.500 (54.994) Prec@5 83.750 (83.853) Epoch: [70][4640/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.6646 (1.6818) Prec@1 52.500 (54.992) Prec@5 84.375 (83.855) Epoch: [70][4650/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.8646 (1.6820) Prec@1 52.500 (54.988) Prec@5 81.875 (83.851) Epoch: [70][4660/11272] Time 0.744 (0.776) Data 0.003 (0.002) Loss 1.4468 (1.6819) Prec@1 60.000 (54.992) Prec@5 90.000 (83.854) Epoch: [70][4670/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.9066 (1.6819) Prec@1 47.500 (54.993) Prec@5 81.250 (83.853) Epoch: [70][4680/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7645 (1.6819) Prec@1 56.250 (54.993) Prec@5 83.750 (83.852) Epoch: [70][4690/11272] Time 0.800 (0.776) Data 0.002 (0.002) Loss 1.7981 (1.6820) Prec@1 50.000 (54.994) Prec@5 83.750 (83.852) Epoch: [70][4700/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 2.0523 (1.6821) Prec@1 48.125 (54.993) Prec@5 75.000 (83.851) Epoch: [70][4710/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.7416 (1.6821) Prec@1 51.250 (54.993) Prec@5 81.875 (83.851) Epoch: [70][4720/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.7704 (1.6821) Prec@1 54.375 (54.995) Prec@5 84.375 (83.852) Epoch: [70][4730/11272] Time 0.853 (0.776) Data 0.002 (0.002) Loss 1.8199 (1.6822) Prec@1 46.250 (54.989) Prec@5 81.875 (83.851) Epoch: [70][4740/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8036 (1.6822) Prec@1 53.125 (54.988) Prec@5 86.875 (83.852) Epoch: [70][4750/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5106 (1.6822) Prec@1 61.875 (54.989) Prec@5 85.625 (83.852) Epoch: [70][4760/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.6559 (1.6822) Prec@1 51.250 (54.988) Prec@5 85.000 (83.851) Epoch: [70][4770/11272] Time 0.927 (0.776) Data 0.002 (0.002) Loss 1.7317 (1.6820) Prec@1 56.250 (54.992) Prec@5 79.375 (83.853) Epoch: [70][4780/11272] Time 0.791 (0.776) Data 0.002 (0.002) Loss 1.5186 (1.6822) Prec@1 57.500 (54.992) Prec@5 86.250 (83.851) Epoch: [70][4790/11272] Time 0.870 (0.776) Data 0.001 (0.002) Loss 1.6700 (1.6823) Prec@1 54.375 (54.989) Prec@5 85.000 (83.849) Epoch: [70][4800/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.8507 (1.6826) Prec@1 50.625 (54.983) Prec@5 79.375 (83.843) Epoch: [70][4810/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8048 (1.6827) Prec@1 50.625 (54.979) Prec@5 85.625 (83.841) Epoch: [70][4820/11272] Time 0.781 (0.776) Data 0.002 (0.002) Loss 2.0153 (1.6827) Prec@1 50.000 (54.981) Prec@5 76.250 (83.841) Epoch: [70][4830/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.3337 (1.6826) Prec@1 62.500 (54.984) Prec@5 89.375 (83.841) Epoch: [70][4840/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.6663 (1.6827) Prec@1 56.250 (54.983) Prec@5 81.875 (83.840) Epoch: [70][4850/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.9294 (1.6828) Prec@1 50.625 (54.979) Prec@5 79.375 (83.838) Epoch: [70][4860/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6795 (1.6827) Prec@1 59.375 (54.981) Prec@5 83.125 (83.840) Epoch: [70][4870/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.4313 (1.6827) Prec@1 58.750 (54.981) Prec@5 88.125 (83.838) Epoch: [70][4880/11272] Time 0.859 (0.776) Data 0.002 (0.002) Loss 1.3941 (1.6827) Prec@1 55.625 (54.978) Prec@5 91.875 (83.840) Epoch: [70][4890/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5822 (1.6828) Prec@1 56.250 (54.976) Prec@5 85.000 (83.837) Epoch: [70][4900/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.5206 (1.6828) Prec@1 55.625 (54.976) Prec@5 86.250 (83.836) Epoch: [70][4910/11272] Time 0.783 (0.776) Data 0.001 (0.002) Loss 1.8677 (1.6827) Prec@1 52.500 (54.980) Prec@5 78.750 (83.835) Epoch: [70][4920/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6518 (1.6827) Prec@1 51.250 (54.979) Prec@5 85.625 (83.834) Epoch: [70][4930/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.6698 (1.6827) Prec@1 53.125 (54.976) Prec@5 85.000 (83.836) Epoch: [70][4940/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.7225 (1.6826) Prec@1 51.875 (54.977) Prec@5 86.250 (83.838) Epoch: [70][4950/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.6685 (1.6827) Prec@1 56.250 (54.975) Prec@5 83.125 (83.838) Epoch: [70][4960/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6045 (1.6827) Prec@1 56.250 (54.974) Prec@5 85.625 (83.838) Epoch: [70][4970/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.8706 (1.6828) Prec@1 48.750 (54.970) Prec@5 80.625 (83.838) Epoch: [70][4980/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.7633 (1.6829) Prec@1 56.250 (54.970) Prec@5 81.875 (83.837) Epoch: [70][4990/11272] Time 0.815 (0.776) Data 0.002 (0.002) Loss 1.7063 (1.6828) Prec@1 54.375 (54.971) Prec@5 82.500 (83.838) Epoch: [70][5000/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.6826 (1.6829) Prec@1 56.875 (54.968) Prec@5 85.000 (83.840) Epoch: [70][5010/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.5617 (1.6829) Prec@1 58.125 (54.966) Prec@5 88.125 (83.841) Epoch: [70][5020/11272] Time 0.875 (0.776) Data 0.001 (0.002) Loss 1.7106 (1.6829) Prec@1 56.250 (54.966) Prec@5 83.750 (83.842) Epoch: [70][5030/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.9601 (1.6829) Prec@1 48.750 (54.964) Prec@5 81.250 (83.841) Epoch: [70][5040/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.4160 (1.6827) Prec@1 59.375 (54.972) Prec@5 88.125 (83.845) Epoch: [70][5050/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5851 (1.6826) Prec@1 55.000 (54.973) Prec@5 83.125 (83.845) Epoch: [70][5060/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 1.3822 (1.6826) Prec@1 57.500 (54.971) Prec@5 88.750 (83.846) Epoch: [70][5070/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.6830 (1.6826) Prec@1 53.750 (54.968) Prec@5 86.875 (83.845) Epoch: [70][5080/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.6951 (1.6827) Prec@1 54.375 (54.965) Prec@5 81.250 (83.843) Epoch: [70][5090/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.6660 (1.6827) Prec@1 58.750 (54.965) Prec@5 81.875 (83.843) Epoch: [70][5100/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.4620 (1.6827) Prec@1 60.625 (54.963) Prec@5 85.000 (83.843) Epoch: [70][5110/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.6288 (1.6827) Prec@1 55.000 (54.962) Prec@5 85.625 (83.844) Epoch: [70][5120/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6800 (1.6827) Prec@1 58.125 (54.962) Prec@5 83.750 (83.845) Epoch: [70][5130/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.6502 (1.6827) Prec@1 56.875 (54.960) Prec@5 84.375 (83.846) Epoch: [70][5140/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.6508 (1.6827) Prec@1 56.250 (54.962) Prec@5 80.625 (83.845) Epoch: [70][5150/11272] Time 0.738 (0.776) Data 0.002 (0.002) Loss 1.8376 (1.6827) Prec@1 51.250 (54.963) Prec@5 81.875 (83.846) Epoch: [70][5160/11272] Time 0.702 (0.776) Data 0.002 (0.002) Loss 1.5662 (1.6826) Prec@1 54.375 (54.965) Prec@5 86.875 (83.846) Epoch: [70][5170/11272] Time 0.867 (0.776) Data 0.001 (0.002) Loss 1.7297 (1.6827) Prec@1 52.500 (54.964) Prec@5 83.750 (83.844) Epoch: [70][5180/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.6677 (1.6827) Prec@1 59.375 (54.964) Prec@5 80.625 (83.843) Epoch: [70][5190/11272] Time 0.694 (0.776) Data 0.001 (0.002) Loss 1.7070 (1.6828) Prec@1 51.250 (54.961) Prec@5 81.875 (83.842) Epoch: [70][5200/11272] Time 0.869 (0.776) Data 0.001 (0.002) Loss 1.6240 (1.6828) Prec@1 54.375 (54.964) Prec@5 85.625 (83.844) Epoch: [70][5210/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.7050 (1.6827) Prec@1 49.375 (54.965) Prec@5 86.875 (83.844) Epoch: [70][5220/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.6551 (1.6827) Prec@1 56.250 (54.965) Prec@5 85.000 (83.844) Epoch: [70][5230/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8909 (1.6828) Prec@1 48.125 (54.961) Prec@5 81.250 (83.843) Epoch: [70][5240/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.7966 (1.6828) Prec@1 52.500 (54.959) Prec@5 81.875 (83.844) Epoch: [70][5250/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.7484 (1.6829) Prec@1 52.500 (54.958) Prec@5 81.250 (83.843) Epoch: [70][5260/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.8843 (1.6829) Prec@1 51.875 (54.959) Prec@5 80.625 (83.843) Epoch: [70][5270/11272] Time 0.691 (0.776) Data 0.001 (0.002) Loss 1.8444 (1.6829) Prec@1 56.875 (54.960) Prec@5 78.750 (83.845) Epoch: [70][5280/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.7041 (1.6828) Prec@1 49.375 (54.961) Prec@5 87.500 (83.847) Epoch: [70][5290/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.8429 (1.6830) Prec@1 52.500 (54.956) Prec@5 82.500 (83.845) Epoch: [70][5300/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.9137 (1.6830) Prec@1 47.500 (54.955) Prec@5 79.375 (83.845) Epoch: [70][5310/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5872 (1.6829) Prec@1 55.000 (54.956) Prec@5 85.000 (83.847) Epoch: [70][5320/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.5722 (1.6829) Prec@1 60.000 (54.958) Prec@5 86.250 (83.849) Epoch: [70][5330/11272] Time 0.721 (0.776) Data 0.003 (0.002) Loss 1.4433 (1.6829) Prec@1 56.875 (54.955) Prec@5 90.000 (83.849) Epoch: [70][5340/11272] Time 0.726 (0.776) Data 0.002 (0.002) Loss 1.6019 (1.6829) Prec@1 53.125 (54.953) Prec@5 86.250 (83.851) Epoch: [70][5350/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6936 (1.6828) Prec@1 52.500 (54.954) Prec@5 82.500 (83.853) Epoch: [70][5360/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.7993 (1.6828) Prec@1 51.250 (54.956) Prec@5 80.625 (83.854) Epoch: [70][5370/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.8280 (1.6827) Prec@1 51.250 (54.957) Prec@5 78.125 (83.855) Epoch: [70][5380/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.4756 (1.6828) Prec@1 58.750 (54.953) Prec@5 85.625 (83.854) Epoch: [70][5390/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.8348 (1.6829) Prec@1 47.500 (54.952) Prec@5 80.625 (83.852) Epoch: [70][5400/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.7000 (1.6829) Prec@1 58.125 (54.952) Prec@5 79.375 (83.852) Epoch: [70][5410/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.3451 (1.6828) Prec@1 62.500 (54.952) Prec@5 88.750 (83.855) Epoch: [70][5420/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.6791 (1.6828) Prec@1 56.875 (54.955) Prec@5 86.250 (83.855) Epoch: [70][5430/11272] Time 0.792 (0.776) Data 0.001 (0.002) Loss 1.6070 (1.6828) Prec@1 56.875 (54.956) Prec@5 86.875 (83.854) Epoch: [70][5440/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6315 (1.6827) Prec@1 47.500 (54.956) Prec@5 88.750 (83.856) Epoch: [70][5450/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8860 (1.6828) Prec@1 50.625 (54.955) Prec@5 80.625 (83.854) Epoch: [70][5460/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.7256 (1.6828) Prec@1 53.125 (54.954) Prec@5 85.000 (83.856) Epoch: [70][5470/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.8292 (1.6828) Prec@1 49.375 (54.953) Prec@5 81.875 (83.856) Epoch: [70][5480/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6503 (1.6829) Prec@1 55.000 (54.949) Prec@5 84.375 (83.852) Epoch: [70][5490/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.6218 (1.6830) Prec@1 56.250 (54.949) Prec@5 85.000 (83.854) Epoch: [70][5500/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.6337 (1.6830) Prec@1 54.375 (54.948) Prec@5 83.750 (83.855) Epoch: [70][5510/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.7907 (1.6829) Prec@1 52.500 (54.950) Prec@5 85.625 (83.857) Epoch: [70][5520/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.5961 (1.6830) Prec@1 55.625 (54.948) Prec@5 85.625 (83.855) Epoch: [70][5530/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5817 (1.6829) Prec@1 58.125 (54.951) Prec@5 86.875 (83.855) Epoch: [70][5540/11272] Time 0.777 (0.776) Data 0.001 (0.002) Loss 1.8357 (1.6830) Prec@1 53.750 (54.951) Prec@5 79.375 (83.855) Epoch: [70][5550/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.9268 (1.6829) Prec@1 47.500 (54.952) Prec@5 81.250 (83.855) Epoch: [70][5560/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7435 (1.6830) Prec@1 50.000 (54.951) Prec@5 82.500 (83.852) Epoch: [70][5570/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6195 (1.6829) Prec@1 58.125 (54.952) Prec@5 86.250 (83.853) Epoch: [70][5580/11272] Time 0.812 (0.776) Data 0.002 (0.002) Loss 1.7442 (1.6830) Prec@1 51.875 (54.950) Prec@5 83.750 (83.853) Epoch: [70][5590/11272] Time 0.738 (0.776) Data 0.003 (0.002) Loss 1.6279 (1.6830) Prec@1 56.875 (54.951) Prec@5 83.125 (83.853) Epoch: [70][5600/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.8591 (1.6830) Prec@1 51.250 (54.952) Prec@5 80.625 (83.853) Epoch: [70][5610/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.7082 (1.6831) Prec@1 59.375 (54.952) Prec@5 82.500 (83.852) Epoch: [70][5620/11272] Time 0.881 (0.776) Data 0.002 (0.002) Loss 1.6609 (1.6830) Prec@1 56.250 (54.950) Prec@5 83.750 (83.854) Epoch: [70][5630/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.8926 (1.6831) Prec@1 43.750 (54.946) Prec@5 84.375 (83.856) Epoch: [70][5640/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.7746 (1.6831) Prec@1 50.625 (54.944) Prec@5 86.250 (83.856) Epoch: [70][5650/11272] Time 0.878 (0.776) Data 0.002 (0.002) Loss 1.7468 (1.6833) Prec@1 51.250 (54.938) Prec@5 86.250 (83.854) Epoch: [70][5660/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.8929 (1.6832) Prec@1 54.375 (54.943) Prec@5 81.250 (83.853) Epoch: [70][5670/11272] Time 0.745 (0.776) Data 0.001 (0.002) Loss 1.5759 (1.6834) Prec@1 58.125 (54.938) Prec@5 84.375 (83.851) Epoch: [70][5680/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.7423 (1.6834) Prec@1 51.250 (54.936) Prec@5 81.875 (83.850) Epoch: [70][5690/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.5324 (1.6834) Prec@1 56.875 (54.937) Prec@5 85.000 (83.850) Epoch: [70][5700/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.8077 (1.6835) Prec@1 55.625 (54.934) Prec@5 82.500 (83.848) Epoch: [70][5710/11272] Time 0.779 (0.776) Data 0.002 (0.002) Loss 1.9299 (1.6836) Prec@1 54.375 (54.933) Prec@5 80.000 (83.847) Epoch: [70][5720/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.5815 (1.6835) Prec@1 58.750 (54.938) Prec@5 86.250 (83.848) Epoch: [70][5730/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6122 (1.6834) Prec@1 56.875 (54.935) Prec@5 86.250 (83.850) Epoch: [70][5740/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.7945 (1.6836) Prec@1 52.500 (54.930) Prec@5 83.750 (83.847) Epoch: [70][5750/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8286 (1.6837) Prec@1 48.750 (54.925) Prec@5 80.625 (83.843) Epoch: [70][5760/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.6706 (1.6838) Prec@1 53.750 (54.923) Prec@5 85.000 (83.841) Epoch: [70][5770/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.5324 (1.6837) Prec@1 56.875 (54.923) Prec@5 88.125 (83.843) Epoch: [70][5780/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.5888 (1.6836) Prec@1 56.875 (54.924) Prec@5 82.500 (83.845) Epoch: [70][5790/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.9564 (1.6837) Prec@1 49.375 (54.922) Prec@5 83.125 (83.844) Epoch: [70][5800/11272] Time 0.852 (0.776) Data 0.001 (0.002) Loss 1.6542 (1.6837) Prec@1 57.500 (54.919) Prec@5 86.250 (83.846) Epoch: [70][5810/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.6197 (1.6837) Prec@1 54.375 (54.921) Prec@5 86.875 (83.845) Epoch: [70][5820/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.5413 (1.6837) Prec@1 61.875 (54.920) Prec@5 85.625 (83.844) Epoch: [70][5830/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5404 (1.6835) Prec@1 63.125 (54.926) Prec@5 85.625 (83.848) Epoch: [70][5840/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.5401 (1.6835) Prec@1 58.125 (54.927) Prec@5 86.250 (83.850) Epoch: [70][5850/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.8543 (1.6836) Prec@1 46.250 (54.924) Prec@5 75.000 (83.848) Epoch: [70][5860/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7824 (1.6836) Prec@1 51.250 (54.923) Prec@5 83.125 (83.847) Epoch: [70][5870/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.5917 (1.6836) Prec@1 56.250 (54.924) Prec@5 86.250 (83.848) Epoch: [70][5880/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.7244 (1.6836) Prec@1 55.000 (54.920) Prec@5 81.250 (83.848) Epoch: [70][5890/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.5036 (1.6836) Prec@1 60.000 (54.921) Prec@5 88.750 (83.848) Epoch: [70][5900/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.7734 (1.6838) Prec@1 55.000 (54.918) Prec@5 79.375 (83.847) Epoch: [70][5910/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6215 (1.6837) Prec@1 56.250 (54.918) Prec@5 85.000 (83.847) Epoch: [70][5920/11272] Time 0.865 (0.776) Data 0.002 (0.002) Loss 1.4683 (1.6837) Prec@1 58.750 (54.917) Prec@5 87.500 (83.847) Epoch: [70][5930/11272] Time 0.751 (0.776) Data 0.001 (0.002) Loss 1.7135 (1.6838) Prec@1 55.000 (54.918) Prec@5 82.500 (83.846) Epoch: [70][5940/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6685 (1.6838) Prec@1 55.000 (54.917) Prec@5 85.000 (83.846) Epoch: [70][5950/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.5791 (1.6838) Prec@1 56.250 (54.916) Prec@5 85.000 (83.845) Epoch: [70][5960/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.6955 (1.6839) Prec@1 57.500 (54.915) Prec@5 82.500 (83.843) Epoch: [70][5970/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.4799 (1.6839) Prec@1 56.250 (54.918) Prec@5 88.125 (83.843) Epoch: [70][5980/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.5330 (1.6839) Prec@1 63.750 (54.920) Prec@5 83.750 (83.843) Epoch: [70][5990/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6641 (1.6839) Prec@1 54.375 (54.919) Prec@5 86.875 (83.844) Epoch: [70][6000/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6168 (1.6839) Prec@1 56.250 (54.921) Prec@5 85.625 (83.842) Epoch: [70][6010/11272] Time 0.733 (0.776) Data 0.002 (0.002) Loss 1.6612 (1.6840) Prec@1 52.500 (54.918) Prec@5 82.500 (83.839) Epoch: [70][6020/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7364 (1.6840) Prec@1 58.125 (54.917) Prec@5 83.750 (83.837) Epoch: [70][6030/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.5888 (1.6839) Prec@1 55.625 (54.920) Prec@5 85.625 (83.838) Epoch: [70][6040/11272] Time 0.694 (0.776) Data 0.001 (0.002) Loss 1.5812 (1.6838) Prec@1 52.500 (54.918) Prec@5 86.250 (83.840) Epoch: [70][6050/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6419 (1.6837) Prec@1 58.750 (54.920) Prec@5 83.125 (83.841) Epoch: [70][6060/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.9272 (1.6837) Prec@1 50.625 (54.920) Prec@5 78.125 (83.841) Epoch: [70][6070/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.6563 (1.6837) Prec@1 54.375 (54.917) Prec@5 82.500 (83.842) Epoch: [70][6080/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6870 (1.6837) Prec@1 55.625 (54.917) Prec@5 82.500 (83.843) Epoch: [70][6090/11272] Time 0.739 (0.776) Data 0.001 (0.002) Loss 1.7704 (1.6837) Prec@1 58.125 (54.916) Prec@5 84.375 (83.845) Epoch: [70][6100/11272] Time 0.818 (0.776) Data 0.002 (0.002) Loss 1.5832 (1.6837) Prec@1 58.750 (54.917) Prec@5 85.625 (83.846) Epoch: [70][6110/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.8539 (1.6838) Prec@1 50.625 (54.914) Prec@5 80.000 (83.843) Epoch: [70][6120/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.5099 (1.6838) Prec@1 60.000 (54.915) Prec@5 84.375 (83.842) Epoch: [70][6130/11272] Time 0.780 (0.776) Data 0.001 (0.002) Loss 1.8590 (1.6837) Prec@1 50.625 (54.918) Prec@5 80.625 (83.842) Epoch: [70][6140/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5543 (1.6838) Prec@1 57.500 (54.915) Prec@5 87.500 (83.842) Epoch: [70][6150/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.3244 (1.6837) Prec@1 61.875 (54.918) Prec@5 91.250 (83.844) Epoch: [70][6160/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.8187 (1.6837) Prec@1 48.125 (54.915) Prec@5 86.250 (83.845) Epoch: [70][6170/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.8908 (1.6838) Prec@1 51.875 (54.914) Prec@5 79.375 (83.845) Epoch: [70][6180/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.9992 (1.6839) Prec@1 50.000 (54.913) Prec@5 81.250 (83.844) Epoch: [70][6190/11272] Time 0.744 (0.776) Data 0.002 (0.002) Loss 1.6929 (1.6839) Prec@1 51.875 (54.914) Prec@5 84.375 (83.845) Epoch: [70][6200/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.8978 (1.6839) Prec@1 50.625 (54.915) Prec@5 83.125 (83.844) Epoch: [70][6210/11272] Time 0.859 (0.776) Data 0.001 (0.002) Loss 1.5399 (1.6839) Prec@1 61.250 (54.915) Prec@5 85.625 (83.845) Epoch: [70][6220/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.6191 (1.6839) Prec@1 56.250 (54.918) Prec@5 85.625 (83.846) Epoch: [70][6230/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.4838 (1.6837) Prec@1 61.875 (54.922) Prec@5 87.500 (83.850) Epoch: [70][6240/11272] Time 0.689 (0.776) Data 0.001 (0.002) Loss 1.7091 (1.6837) Prec@1 56.250 (54.921) Prec@5 84.375 (83.850) Epoch: [70][6250/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.9693 (1.6838) Prec@1 45.625 (54.919) Prec@5 76.875 (83.848) Epoch: [70][6260/11272] Time 0.764 (0.776) Data 0.003 (0.002) Loss 1.7175 (1.6838) Prec@1 50.625 (54.917) Prec@5 86.250 (83.848) Epoch: [70][6270/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5427 (1.6838) Prec@1 61.250 (54.918) Prec@5 83.125 (83.849) Epoch: [70][6280/11272] Time 0.938 (0.776) Data 0.001 (0.002) Loss 1.6405 (1.6840) Prec@1 55.625 (54.915) Prec@5 84.375 (83.847) Epoch: [70][6290/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.8166 (1.6841) Prec@1 49.375 (54.913) Prec@5 82.500 (83.846) Epoch: [70][6300/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6929 (1.6841) Prec@1 53.125 (54.911) Prec@5 83.750 (83.845) Epoch: [70][6310/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.5584 (1.6841) Prec@1 61.875 (54.911) Prec@5 85.625 (83.844) Epoch: [70][6320/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7303 (1.6841) Prec@1 53.750 (54.912) Prec@5 80.625 (83.843) Epoch: [70][6330/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6047 (1.6842) Prec@1 56.875 (54.910) Prec@5 84.375 (83.841) Epoch: [70][6340/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6085 (1.6842) Prec@1 52.500 (54.910) Prec@5 84.375 (83.840) Epoch: [70][6350/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6971 (1.6841) Prec@1 58.125 (54.912) Prec@5 81.250 (83.842) Epoch: [70][6360/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.5976 (1.6841) Prec@1 56.875 (54.911) Prec@5 85.000 (83.843) Epoch: [70][6370/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.4834 (1.6841) Prec@1 58.125 (54.910) Prec@5 85.625 (83.842) Epoch: [70][6380/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5051 (1.6841) Prec@1 62.500 (54.911) Prec@5 83.750 (83.841) Epoch: [70][6390/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7183 (1.6841) Prec@1 53.125 (54.911) Prec@5 83.125 (83.841) Epoch: [70][6400/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6521 (1.6841) Prec@1 50.625 (54.910) Prec@5 86.250 (83.840) Epoch: [70][6410/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.9483 (1.6842) Prec@1 52.500 (54.911) Prec@5 78.125 (83.839) Epoch: [70][6420/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7941 (1.6842) Prec@1 55.000 (54.911) Prec@5 80.625 (83.838) Epoch: [70][6430/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.4299 (1.6842) Prec@1 63.750 (54.913) Prec@5 87.500 (83.838) Epoch: [70][6440/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.5483 (1.6842) Prec@1 56.250 (54.915) Prec@5 85.000 (83.839) Epoch: [70][6450/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6727 (1.6842) Prec@1 50.000 (54.915) Prec@5 86.875 (83.839) Epoch: [70][6460/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.4611 (1.6842) Prec@1 58.750 (54.914) Prec@5 87.500 (83.839) Epoch: [70][6470/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6506 (1.6842) Prec@1 59.375 (54.916) Prec@5 83.125 (83.840) Epoch: [70][6480/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.6414 (1.6843) Prec@1 58.750 (54.913) Prec@5 84.375 (83.837) Epoch: [70][6490/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8285 (1.6844) Prec@1 51.250 (54.911) Prec@5 83.125 (83.836) Epoch: [70][6500/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5161 (1.6843) Prec@1 59.375 (54.915) Prec@5 86.875 (83.835) Epoch: [70][6510/11272] Time 0.847 (0.776) Data 0.002 (0.002) Loss 1.4858 (1.6843) Prec@1 62.500 (54.913) Prec@5 86.875 (83.835) Epoch: [70][6520/11272] Time 0.721 (0.776) Data 0.004 (0.002) Loss 1.7996 (1.6843) Prec@1 54.375 (54.910) Prec@5 81.875 (83.835) Epoch: [70][6530/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.6725 (1.6843) Prec@1 58.750 (54.910) Prec@5 83.125 (83.835) Epoch: [70][6540/11272] Time 0.862 (0.776) Data 0.002 (0.002) Loss 1.7351 (1.6844) Prec@1 53.750 (54.909) Prec@5 81.875 (83.835) Epoch: [70][6550/11272] Time 0.847 (0.776) Data 0.002 (0.002) Loss 1.5462 (1.6843) Prec@1 58.125 (54.910) Prec@5 84.375 (83.835) Epoch: [70][6560/11272] Time 0.752 (0.776) Data 0.001 (0.002) Loss 1.7051 (1.6844) Prec@1 51.250 (54.907) Prec@5 86.250 (83.835) Epoch: [70][6570/11272] Time 0.735 (0.776) Data 0.001 (0.002) Loss 1.8229 (1.6844) Prec@1 55.000 (54.906) Prec@5 83.125 (83.834) Epoch: [70][6580/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.7236 (1.6844) Prec@1 55.625 (54.907) Prec@5 83.125 (83.832) Epoch: [70][6590/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.7137 (1.6845) Prec@1 55.000 (54.908) Prec@5 81.250 (83.831) Epoch: [70][6600/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8779 (1.6845) Prec@1 51.250 (54.909) Prec@5 82.500 (83.833) Epoch: [70][6610/11272] Time 0.748 (0.776) Data 0.002 (0.002) Loss 1.4959 (1.6845) Prec@1 53.750 (54.908) Prec@5 87.500 (83.833) Epoch: [70][6620/11272] Time 0.870 (0.776) Data 0.001 (0.002) Loss 1.7739 (1.6845) Prec@1 52.500 (54.907) Prec@5 82.500 (83.833) Epoch: [70][6630/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.4086 (1.6845) Prec@1 60.625 (54.906) Prec@5 89.375 (83.834) Epoch: [70][6640/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.6749 (1.6845) Prec@1 55.625 (54.904) Prec@5 83.750 (83.835) Epoch: [70][6650/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.6043 (1.6845) Prec@1 61.250 (54.903) Prec@5 85.625 (83.836) Epoch: [70][6660/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6495 (1.6844) Prec@1 53.125 (54.904) Prec@5 80.000 (83.836) Epoch: [70][6670/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.4875 (1.6844) Prec@1 58.125 (54.906) Prec@5 87.500 (83.835) Epoch: [70][6680/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6923 (1.6844) Prec@1 51.250 (54.905) Prec@5 85.000 (83.834) Epoch: [70][6690/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.6276 (1.6844) Prec@1 56.875 (54.906) Prec@5 85.000 (83.834) Epoch: [70][6700/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.4157 (1.6843) Prec@1 61.250 (54.908) Prec@5 86.250 (83.835) Epoch: [70][6710/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.7241 (1.6844) Prec@1 55.000 (54.905) Prec@5 81.250 (83.836) Epoch: [70][6720/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.7573 (1.6845) Prec@1 53.125 (54.900) Prec@5 85.000 (83.834) Epoch: [70][6730/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.7760 (1.6845) Prec@1 55.000 (54.898) Prec@5 85.000 (83.836) Epoch: [70][6740/11272] Time 0.815 (0.776) Data 0.002 (0.002) Loss 1.8474 (1.6844) Prec@1 49.375 (54.902) Prec@5 81.250 (83.838) Epoch: [70][6750/11272] Time 0.744 (0.776) Data 0.002 (0.002) Loss 1.6866 (1.6844) Prec@1 56.875 (54.903) Prec@5 83.125 (83.838) Epoch: [70][6760/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 2.0137 (1.6845) Prec@1 52.500 (54.902) Prec@5 78.750 (83.837) Epoch: [70][6770/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.6147 (1.6845) Prec@1 59.375 (54.903) Prec@5 86.250 (83.839) Epoch: [70][6780/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.5365 (1.6844) Prec@1 61.875 (54.905) Prec@5 84.375 (83.839) Epoch: [70][6790/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6385 (1.6845) Prec@1 55.000 (54.901) Prec@5 82.500 (83.839) Epoch: [70][6800/11272] Time 0.852 (0.776) Data 0.001 (0.002) Loss 1.7595 (1.6845) Prec@1 54.375 (54.903) Prec@5 82.500 (83.839) Epoch: [70][6810/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.7802 (1.6845) Prec@1 53.125 (54.900) Prec@5 80.000 (83.837) Epoch: [70][6820/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.5999 (1.6845) Prec@1 55.625 (54.902) Prec@5 85.000 (83.837) Epoch: [70][6830/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.5620 (1.6845) Prec@1 55.625 (54.903) Prec@5 85.000 (83.836) Epoch: [70][6840/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.6740 (1.6844) Prec@1 51.875 (54.903) Prec@5 83.125 (83.838) Epoch: [70][6850/11272] Time 0.876 (0.776) Data 0.001 (0.002) Loss 1.7847 (1.6844) Prec@1 49.375 (54.903) Prec@5 83.125 (83.838) Epoch: [70][6860/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7260 (1.6844) Prec@1 53.125 (54.903) Prec@5 81.250 (83.837) Epoch: [70][6870/11272] Time 0.766 (0.776) Data 0.001 (0.002) Loss 1.8445 (1.6844) Prec@1 51.875 (54.901) Prec@5 80.000 (83.838) Epoch: [70][6880/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.6412 (1.6844) Prec@1 52.500 (54.902) Prec@5 88.750 (83.838) Epoch: [70][6890/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.8969 (1.6844) Prec@1 50.000 (54.901) Prec@5 80.625 (83.838) Epoch: [70][6900/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.8588 (1.6844) Prec@1 55.000 (54.904) Prec@5 79.375 (83.838) Epoch: [70][6910/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.8050 (1.6844) Prec@1 56.250 (54.904) Prec@5 83.125 (83.838) Epoch: [70][6920/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.5492 (1.6845) Prec@1 56.875 (54.903) Prec@5 88.750 (83.838) Epoch: [70][6930/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 2.0736 (1.6846) Prec@1 48.750 (54.900) Prec@5 77.500 (83.836) Epoch: [70][6940/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5460 (1.6845) Prec@1 55.625 (54.901) Prec@5 87.500 (83.838) Epoch: [70][6950/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.6397 (1.6846) Prec@1 56.875 (54.899) Prec@5 83.125 (83.836) Epoch: [70][6960/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.6364 (1.6845) Prec@1 53.750 (54.900) Prec@5 84.375 (83.836) Epoch: [70][6970/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.6548 (1.6846) Prec@1 54.375 (54.901) Prec@5 85.625 (83.835) Epoch: [70][6980/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.8651 (1.6845) Prec@1 54.375 (54.902) Prec@5 79.375 (83.836) Epoch: [70][6990/11272] Time 0.865 (0.776) Data 0.002 (0.002) Loss 1.9173 (1.6846) Prec@1 50.625 (54.902) Prec@5 81.875 (83.836) Epoch: [70][7000/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5982 (1.6845) Prec@1 56.875 (54.902) Prec@5 85.000 (83.840) Epoch: [70][7010/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6527 (1.6844) Prec@1 55.000 (54.901) Prec@5 85.625 (83.841) Epoch: [70][7020/11272] Time 0.739 (0.776) Data 0.002 (0.002) Loss 1.7649 (1.6845) Prec@1 50.000 (54.895) Prec@5 83.125 (83.840) Epoch: [70][7030/11272] Time 0.782 (0.776) Data 0.001 (0.002) Loss 1.7185 (1.6847) Prec@1 54.375 (54.894) Prec@5 82.500 (83.838) Epoch: [70][7040/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.8781 (1.6848) Prec@1 48.750 (54.889) Prec@5 80.625 (83.836) Epoch: [70][7050/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.7226 (1.6849) Prec@1 56.875 (54.889) Prec@5 76.250 (83.833) Epoch: [70][7060/11272] Time 0.788 (0.776) Data 0.001 (0.002) Loss 1.6350 (1.6849) Prec@1 55.000 (54.890) Prec@5 86.875 (83.833) Epoch: [70][7070/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6810 (1.6849) Prec@1 51.250 (54.892) Prec@5 86.250 (83.833) Epoch: [70][7080/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.7042 (1.6849) Prec@1 52.500 (54.892) Prec@5 83.125 (83.832) Epoch: [70][7090/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.8396 (1.6848) Prec@1 51.875 (54.891) Prec@5 81.875 (83.833) Epoch: [70][7100/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.6386 (1.6849) Prec@1 56.250 (54.891) Prec@5 84.375 (83.833) Epoch: [70][7110/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.5798 (1.6849) Prec@1 56.875 (54.889) Prec@5 84.375 (83.834) Epoch: [70][7120/11272] Time 0.778 (0.776) Data 0.003 (0.002) Loss 1.8024 (1.6848) Prec@1 48.750 (54.889) Prec@5 82.500 (83.835) Epoch: [70][7130/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.2187 (1.6848) Prec@1 68.125 (54.891) Prec@5 90.625 (83.837) Epoch: [70][7140/11272] Time 0.837 (0.776) Data 0.005 (0.002) Loss 1.8447 (1.6848) Prec@1 57.500 (54.892) Prec@5 84.375 (83.837) Epoch: [70][7150/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.6911 (1.6849) Prec@1 55.000 (54.890) Prec@5 85.625 (83.836) Epoch: [70][7160/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.9571 (1.6849) Prec@1 47.500 (54.891) Prec@5 76.250 (83.836) Epoch: [70][7170/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7076 (1.6849) Prec@1 53.750 (54.889) Prec@5 86.250 (83.836) Epoch: [70][7180/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.8736 (1.6849) Prec@1 51.250 (54.888) Prec@5 78.750 (83.833) Epoch: [70][7190/11272] Time 0.725 (0.776) Data 0.003 (0.002) Loss 1.6848 (1.6851) Prec@1 55.625 (54.887) Prec@5 83.750 (83.831) Epoch: [70][7200/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.8439 (1.6850) Prec@1 53.125 (54.888) Prec@5 80.625 (83.832) Epoch: [70][7210/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.8260 (1.6850) Prec@1 58.125 (54.889) Prec@5 81.875 (83.831) Epoch: [70][7220/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.7842 (1.6850) Prec@1 51.875 (54.889) Prec@5 82.500 (83.829) Epoch: [70][7230/11272] Time 0.734 (0.776) Data 0.001 (0.002) Loss 1.6584 (1.6849) Prec@1 51.875 (54.890) Prec@5 87.500 (83.832) Epoch: [70][7240/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.5507 (1.6849) Prec@1 56.875 (54.892) Prec@5 86.875 (83.833) Epoch: [70][7250/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.5558 (1.6848) Prec@1 55.625 (54.894) Prec@5 86.875 (83.834) Epoch: [70][7260/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.8530 (1.6849) Prec@1 48.125 (54.893) Prec@5 80.000 (83.833) Epoch: [70][7270/11272] Time 0.691 (0.776) Data 0.001 (0.002) Loss 1.5179 (1.6848) Prec@1 61.875 (54.893) Prec@5 88.750 (83.835) Epoch: [70][7280/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7797 (1.6848) Prec@1 58.125 (54.895) Prec@5 78.750 (83.833) Epoch: [70][7290/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.8626 (1.6848) Prec@1 54.375 (54.896) Prec@5 79.375 (83.832) Epoch: [70][7300/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.6217 (1.6849) Prec@1 54.375 (54.895) Prec@5 85.000 (83.831) Epoch: [70][7310/11272] Time 0.696 (0.776) Data 0.001 (0.002) Loss 1.6662 (1.6848) Prec@1 53.125 (54.895) Prec@5 83.125 (83.832) Epoch: [70][7320/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.5539 (1.6850) Prec@1 59.375 (54.892) Prec@5 89.375 (83.832) Epoch: [70][7330/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.8932 (1.6850) Prec@1 46.875 (54.890) Prec@5 80.625 (83.830) Epoch: [70][7340/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.9124 (1.6851) Prec@1 56.875 (54.891) Prec@5 82.500 (83.830) Epoch: [70][7350/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6643 (1.6851) Prec@1 55.000 (54.890) Prec@5 83.750 (83.828) Epoch: [70][7360/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.8581 (1.6851) Prec@1 49.375 (54.889) Prec@5 82.500 (83.827) Epoch: [70][7370/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.7718 (1.6851) Prec@1 50.000 (54.890) Prec@5 83.125 (83.826) Epoch: [70][7380/11272] Time 0.679 (0.776) Data 0.001 (0.002) Loss 1.3674 (1.6850) Prec@1 65.000 (54.893) Prec@5 88.125 (83.828) Epoch: [70][7390/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.7587 (1.6851) Prec@1 55.625 (54.894) Prec@5 83.125 (83.827) Epoch: [70][7400/11272] Time 0.851 (0.776) Data 0.002 (0.002) Loss 1.7665 (1.6851) Prec@1 54.375 (54.892) Prec@5 81.875 (83.827) Epoch: [70][7410/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.8243 (1.6851) Prec@1 56.250 (54.891) Prec@5 79.375 (83.826) Epoch: [70][7420/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6409 (1.6850) Prec@1 55.625 (54.891) Prec@5 88.125 (83.829) Epoch: [70][7430/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7537 (1.6851) Prec@1 55.625 (54.889) Prec@5 78.750 (83.826) Epoch: [70][7440/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.6281 (1.6851) Prec@1 56.250 (54.889) Prec@5 85.000 (83.827) Epoch: [70][7450/11272] Time 0.740 (0.776) Data 0.003 (0.002) Loss 1.7280 (1.6851) Prec@1 53.125 (54.887) Prec@5 84.375 (83.826) Epoch: [70][7460/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.7012 (1.6851) Prec@1 53.750 (54.888) Prec@5 86.875 (83.827) Epoch: [70][7470/11272] Time 0.871 (0.776) Data 0.002 (0.002) Loss 1.5054 (1.6851) Prec@1 58.750 (54.888) Prec@5 86.250 (83.827) Epoch: [70][7480/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.4723 (1.6851) Prec@1 55.625 (54.886) Prec@5 88.750 (83.827) Epoch: [70][7490/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.8848 (1.6852) Prec@1 48.750 (54.883) Prec@5 81.250 (83.825) Epoch: [70][7500/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7081 (1.6851) Prec@1 50.000 (54.883) Prec@5 83.750 (83.825) Epoch: [70][7510/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.5924 (1.6852) Prec@1 51.875 (54.880) Prec@5 87.500 (83.824) Epoch: [70][7520/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6975 (1.6852) Prec@1 53.125 (54.880) Prec@5 85.000 (83.825) Epoch: [70][7530/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6562 (1.6852) Prec@1 55.000 (54.878) Prec@5 84.375 (83.824) Epoch: [70][7540/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7087 (1.6853) Prec@1 55.000 (54.877) Prec@5 84.375 (83.823) Epoch: [70][7550/11272] Time 0.796 (0.776) Data 0.001 (0.002) Loss 1.7823 (1.6853) Prec@1 53.125 (54.875) Prec@5 83.750 (83.821) Epoch: [70][7560/11272] Time 0.818 (0.776) Data 0.002 (0.002) Loss 1.6091 (1.6853) Prec@1 56.250 (54.875) Prec@5 81.875 (83.822) Epoch: [70][7570/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.7768 (1.6853) Prec@1 48.125 (54.875) Prec@5 80.625 (83.821) Epoch: [70][7580/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.6325 (1.6852) Prec@1 54.375 (54.878) Prec@5 85.625 (83.821) Epoch: [70][7590/11272] Time 0.849 (0.776) Data 0.001 (0.002) Loss 1.6710 (1.6853) Prec@1 55.625 (54.875) Prec@5 83.750 (83.820) Epoch: [70][7600/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7393 (1.6853) Prec@1 53.125 (54.876) Prec@5 80.625 (83.820) Epoch: [70][7610/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.4211 (1.6853) Prec@1 60.625 (54.878) Prec@5 91.875 (83.821) Epoch: [70][7620/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.7091 (1.6853) Prec@1 55.625 (54.878) Prec@5 83.750 (83.821) Epoch: [70][7630/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.9251 (1.6854) Prec@1 51.875 (54.875) Prec@5 82.500 (83.821) Epoch: [70][7640/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.7439 (1.6853) Prec@1 54.375 (54.877) Prec@5 85.000 (83.821) Epoch: [70][7650/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7664 (1.6853) Prec@1 50.000 (54.877) Prec@5 84.375 (83.821) Epoch: [70][7660/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.7902 (1.6853) Prec@1 55.625 (54.878) Prec@5 81.250 (83.822) Epoch: [70][7670/11272] Time 0.813 (0.776) Data 0.002 (0.002) Loss 1.7486 (1.6853) Prec@1 52.500 (54.876) Prec@5 82.500 (83.820) Epoch: [70][7680/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6219 (1.6852) Prec@1 55.625 (54.878) Prec@5 84.375 (83.821) Epoch: [70][7690/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.6792 (1.6852) Prec@1 57.500 (54.879) Prec@5 81.875 (83.823) Epoch: [70][7700/11272] Time 0.877 (0.776) Data 0.002 (0.002) Loss 1.8697 (1.6853) Prec@1 51.250 (54.878) Prec@5 83.750 (83.820) Epoch: [70][7710/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6128 (1.6853) Prec@1 53.125 (54.878) Prec@5 84.375 (83.821) Epoch: [70][7720/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7420 (1.6853) Prec@1 47.500 (54.877) Prec@5 84.375 (83.821) Epoch: [70][7730/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6093 (1.6852) Prec@1 52.500 (54.879) Prec@5 85.625 (83.822) Epoch: [70][7740/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.9940 (1.6853) Prec@1 49.375 (54.878) Prec@5 79.375 (83.822) Epoch: [70][7750/11272] Time 0.739 (0.776) Data 0.001 (0.002) Loss 1.5027 (1.6852) Prec@1 57.500 (54.878) Prec@5 87.500 (83.823) Epoch: [70][7760/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.5111 (1.6851) Prec@1 63.750 (54.881) Prec@5 83.125 (83.824) Epoch: [70][7770/11272] Time 0.784 (0.776) Data 0.001 (0.002) Loss 1.4952 (1.6851) Prec@1 62.500 (54.882) Prec@5 86.875 (83.824) Epoch: [70][7780/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.6543 (1.6851) Prec@1 51.250 (54.880) Prec@5 85.000 (83.824) Epoch: [70][7790/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6483 (1.6851) Prec@1 55.625 (54.882) Prec@5 83.750 (83.825) Epoch: [70][7800/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7481 (1.6851) Prec@1 51.875 (54.882) Prec@5 83.750 (83.825) Epoch: [70][7810/11272] Time 0.836 (0.776) Data 0.005 (0.002) Loss 1.7624 (1.6851) Prec@1 54.375 (54.881) Prec@5 81.875 (83.825) Epoch: [70][7820/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.8081 (1.6853) Prec@1 55.625 (54.880) Prec@5 81.250 (83.822) Epoch: [70][7830/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8093 (1.6854) Prec@1 51.250 (54.878) Prec@5 84.375 (83.820) Epoch: [70][7840/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.5361 (1.6853) Prec@1 60.625 (54.879) Prec@5 85.000 (83.820) Epoch: [70][7850/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.6180 (1.6853) Prec@1 56.875 (54.879) Prec@5 85.000 (83.822) Epoch: [70][7860/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.7044 (1.6854) Prec@1 55.625 (54.878) Prec@5 82.500 (83.820) Epoch: [70][7870/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7475 (1.6853) Prec@1 53.750 (54.878) Prec@5 83.125 (83.820) Epoch: [70][7880/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.7137 (1.6854) Prec@1 50.000 (54.877) Prec@5 80.625 (83.818) Epoch: [70][7890/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.7069 (1.6853) Prec@1 51.875 (54.878) Prec@5 81.875 (83.819) Epoch: [70][7900/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.8020 (1.6854) Prec@1 51.875 (54.875) Prec@5 82.500 (83.817) Epoch: [70][7910/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6391 (1.6854) Prec@1 55.625 (54.874) Prec@5 87.500 (83.817) Epoch: [70][7920/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.5695 (1.6854) Prec@1 58.125 (54.876) Prec@5 85.625 (83.817) Epoch: [70][7930/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.5123 (1.6854) Prec@1 61.875 (54.876) Prec@5 85.000 (83.818) Epoch: [70][7940/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5749 (1.6854) Prec@1 57.500 (54.875) Prec@5 87.500 (83.818) Epoch: [70][7950/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.5912 (1.6855) Prec@1 56.250 (54.873) Prec@5 86.250 (83.818) Epoch: [70][7960/11272] Time 0.877 (0.776) Data 0.001 (0.002) Loss 1.4598 (1.6855) Prec@1 57.500 (54.871) Prec@5 88.125 (83.818) Epoch: [70][7970/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.5047 (1.6854) Prec@1 57.500 (54.873) Prec@5 87.500 (83.819) Epoch: [70][7980/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7123 (1.6854) Prec@1 52.500 (54.872) Prec@5 84.375 (83.820) Epoch: [70][7990/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.7330 (1.6854) Prec@1 55.000 (54.872) Prec@5 80.625 (83.821) Epoch: [70][8000/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.5481 (1.6853) Prec@1 56.875 (54.873) Prec@5 85.625 (83.823) Epoch: [70][8010/11272] Time 0.690 (0.776) Data 0.001 (0.002) Loss 1.7610 (1.6852) Prec@1 50.625 (54.872) Prec@5 83.750 (83.825) Epoch: [70][8020/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.8385 (1.6853) Prec@1 53.125 (54.871) Prec@5 81.875 (83.823) Epoch: [70][8030/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.7954 (1.6853) Prec@1 53.125 (54.872) Prec@5 81.875 (83.823) Epoch: [70][8040/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.5818 (1.6853) Prec@1 60.000 (54.871) Prec@5 85.625 (83.823) Epoch: [70][8050/11272] Time 0.739 (0.776) Data 0.001 (0.002) Loss 1.5504 (1.6852) Prec@1 60.625 (54.875) Prec@5 86.875 (83.824) Epoch: [70][8060/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.8543 (1.6852) Prec@1 48.125 (54.873) Prec@5 80.000 (83.822) Epoch: [70][8070/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.7862 (1.6853) Prec@1 53.125 (54.871) Prec@5 82.500 (83.821) Epoch: [70][8080/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6323 (1.6853) Prec@1 60.000 (54.873) Prec@5 84.375 (83.821) Epoch: [70][8090/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5199 (1.6852) Prec@1 60.625 (54.873) Prec@5 86.875 (83.823) Epoch: [70][8100/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6598 (1.6852) Prec@1 55.000 (54.873) Prec@5 81.875 (83.824) Epoch: [70][8110/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.7210 (1.6852) Prec@1 53.750 (54.870) Prec@5 83.125 (83.824) Epoch: [70][8120/11272] Time 0.733 (0.776) Data 0.003 (0.002) Loss 1.7590 (1.6853) Prec@1 56.875 (54.869) Prec@5 82.500 (83.821) Epoch: [70][8130/11272] Time 0.692 (0.776) Data 0.001 (0.002) Loss 1.9380 (1.6854) Prec@1 52.500 (54.867) Prec@5 77.500 (83.821) Epoch: [70][8140/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.8765 (1.6855) Prec@1 51.250 (54.867) Prec@5 76.875 (83.819) Epoch: [70][8150/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.5864 (1.6855) Prec@1 56.875 (54.866) Prec@5 85.000 (83.819) Epoch: [70][8160/11272] Time 0.749 (0.776) Data 0.001 (0.002) Loss 1.9340 (1.6855) Prec@1 50.625 (54.865) Prec@5 80.625 (83.818) Epoch: [70][8170/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.8636 (1.6855) Prec@1 50.000 (54.865) Prec@5 78.750 (83.818) Epoch: [70][8180/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.8125 (1.6856) Prec@1 49.375 (54.864) Prec@5 81.250 (83.816) Epoch: [70][8190/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.7732 (1.6856) Prec@1 54.375 (54.864) Prec@5 83.750 (83.817) Epoch: [70][8200/11272] Time 0.695 (0.776) Data 0.001 (0.002) Loss 1.5377 (1.6856) Prec@1 59.375 (54.863) Prec@5 85.625 (83.817) Epoch: [70][8210/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.5131 (1.6856) Prec@1 61.875 (54.865) Prec@5 88.750 (83.818) Epoch: [70][8220/11272] Time 0.833 (0.776) Data 0.001 (0.002) Loss 1.7056 (1.6857) Prec@1 55.625 (54.864) Prec@5 82.500 (83.814) Epoch: [70][8230/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.5095 (1.6857) Prec@1 61.250 (54.863) Prec@5 86.875 (83.814) Epoch: [70][8240/11272] Time 0.726 (0.776) Data 0.002 (0.002) Loss 1.7665 (1.6857) Prec@1 55.000 (54.864) Prec@5 84.375 (83.813) Epoch: [70][8250/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.5055 (1.6857) Prec@1 59.375 (54.864) Prec@5 85.625 (83.813) Epoch: [70][8260/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.5621 (1.6857) Prec@1 56.875 (54.863) Prec@5 85.000 (83.812) Epoch: [70][8270/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5937 (1.6857) Prec@1 60.000 (54.865) Prec@5 83.125 (83.812) Epoch: [70][8280/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.6106 (1.6857) Prec@1 56.250 (54.865) Prec@5 86.250 (83.812) Epoch: [70][8290/11272] Time 0.875 (0.776) Data 0.001 (0.002) Loss 1.7747 (1.6856) Prec@1 49.375 (54.868) Prec@5 83.750 (83.813) Epoch: [70][8300/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.5698 (1.6856) Prec@1 59.375 (54.867) Prec@5 83.125 (83.813) Epoch: [70][8310/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7218 (1.6856) Prec@1 55.625 (54.868) Prec@5 82.500 (83.814) Epoch: [70][8320/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7831 (1.6856) Prec@1 53.750 (54.869) Prec@5 78.125 (83.813) Epoch: [70][8330/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.8236 (1.6857) Prec@1 58.125 (54.868) Prec@5 79.375 (83.811) Epoch: [70][8340/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.8228 (1.6856) Prec@1 48.750 (54.870) Prec@5 86.250 (83.813) Epoch: [70][8350/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.8273 (1.6857) Prec@1 48.750 (54.868) Prec@5 83.125 (83.812) Epoch: [70][8360/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6932 (1.6857) Prec@1 51.875 (54.867) Prec@5 84.375 (83.812) Epoch: [70][8370/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.7888 (1.6858) Prec@1 48.125 (54.864) Prec@5 83.750 (83.813) Epoch: [70][8380/11272] Time 0.731 (0.776) Data 0.003 (0.002) Loss 1.8699 (1.6857) Prec@1 50.625 (54.867) Prec@5 77.500 (83.815) Epoch: [70][8390/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7621 (1.6857) Prec@1 54.375 (54.867) Prec@5 81.875 (83.814) Epoch: [70][8400/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.7035 (1.6857) Prec@1 57.500 (54.867) Prec@5 82.500 (83.814) Epoch: [70][8410/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.5069 (1.6858) Prec@1 60.000 (54.867) Prec@5 88.750 (83.812) Epoch: [70][8420/11272] Time 0.754 (0.776) Data 0.002 (0.002) Loss 1.5659 (1.6858) Prec@1 54.375 (54.866) Prec@5 88.125 (83.811) Epoch: [70][8430/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.5983 (1.6858) Prec@1 58.750 (54.866) Prec@5 84.375 (83.813) Epoch: [70][8440/11272] Time 0.879 (0.776) Data 0.002 (0.002) Loss 1.6556 (1.6859) Prec@1 56.250 (54.863) Prec@5 85.625 (83.812) Epoch: [70][8450/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.7584 (1.6858) Prec@1 51.250 (54.864) Prec@5 80.625 (83.813) Epoch: [70][8460/11272] Time 0.739 (0.776) Data 0.002 (0.002) Loss 1.7164 (1.6858) Prec@1 50.625 (54.863) Prec@5 82.500 (83.813) Epoch: [70][8470/11272] Time 0.733 (0.776) Data 0.002 (0.002) Loss 1.7647 (1.6858) Prec@1 53.125 (54.864) Prec@5 83.750 (83.814) Epoch: [70][8480/11272] Time 0.867 (0.776) Data 0.002 (0.002) Loss 1.4969 (1.6857) Prec@1 60.625 (54.867) Prec@5 84.375 (83.814) Epoch: [70][8490/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6066 (1.6857) Prec@1 55.000 (54.868) Prec@5 84.375 (83.815) Epoch: [70][8500/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.7438 (1.6856) Prec@1 56.250 (54.871) Prec@5 81.875 (83.814) Epoch: [70][8510/11272] Time 0.870 (0.776) Data 0.002 (0.002) Loss 1.6685 (1.6857) Prec@1 55.625 (54.872) Prec@5 85.625 (83.814) Epoch: [70][8520/11272] Time 0.852 (0.776) Data 0.002 (0.002) Loss 1.6045 (1.6857) Prec@1 61.250 (54.873) Prec@5 85.000 (83.813) Epoch: [70][8530/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7570 (1.6857) Prec@1 58.125 (54.874) Prec@5 80.000 (83.813) Epoch: [70][8540/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.6918 (1.6857) Prec@1 48.750 (54.871) Prec@5 87.500 (83.813) Epoch: [70][8550/11272] Time 0.858 (0.776) Data 0.001 (0.002) Loss 1.7025 (1.6857) Prec@1 51.250 (54.871) Prec@5 85.000 (83.814) Epoch: [70][8560/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.8354 (1.6857) Prec@1 53.125 (54.870) Prec@5 81.250 (83.813) Epoch: [70][8570/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.9063 (1.6858) Prec@1 51.250 (54.870) Prec@5 82.500 (83.811) Epoch: [70][8580/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.7694 (1.6858) Prec@1 51.250 (54.870) Prec@5 86.250 (83.811) Epoch: [70][8590/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.4259 (1.6857) Prec@1 62.500 (54.871) Prec@5 85.000 (83.813) Epoch: [70][8600/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.7328 (1.6858) Prec@1 55.000 (54.871) Prec@5 83.750 (83.814) Epoch: [70][8610/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.6421 (1.6857) Prec@1 55.000 (54.873) Prec@5 85.625 (83.814) Epoch: [70][8620/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.7113 (1.6858) Prec@1 56.875 (54.872) Prec@5 82.500 (83.814) Epoch: [70][8630/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.4695 (1.6858) Prec@1 60.000 (54.870) Prec@5 85.625 (83.814) Epoch: [70][8640/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.5156 (1.6859) Prec@1 59.375 (54.869) Prec@5 88.125 (83.813) Epoch: [70][8650/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.5720 (1.6859) Prec@1 58.750 (54.868) Prec@5 85.000 (83.813) Epoch: [70][8660/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.7243 (1.6860) Prec@1 57.500 (54.868) Prec@5 84.375 (83.812) Epoch: [70][8670/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 1.6517 (1.6860) Prec@1 55.625 (54.867) Prec@5 84.375 (83.812) Epoch: [70][8680/11272] Time 0.743 (0.776) Data 0.002 (0.002) Loss 1.5210 (1.6861) Prec@1 58.750 (54.864) Prec@5 84.375 (83.809) Epoch: [70][8690/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6991 (1.6862) Prec@1 51.250 (54.862) Prec@5 83.750 (83.808) Epoch: [70][8700/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7105 (1.6862) Prec@1 56.875 (54.863) Prec@5 83.125 (83.809) Epoch: [70][8710/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.6644 (1.6861) Prec@1 53.125 (54.865) Prec@5 84.375 (83.811) Epoch: [70][8720/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.6782 (1.6862) Prec@1 53.125 (54.864) Prec@5 81.875 (83.809) Epoch: [70][8730/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.5671 (1.6861) Prec@1 58.125 (54.866) Prec@5 83.125 (83.809) Epoch: [70][8740/11272] Time 0.823 (0.776) Data 0.001 (0.002) Loss 1.6209 (1.6861) Prec@1 63.125 (54.867) Prec@5 82.500 (83.809) Epoch: [70][8750/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.5894 (1.6862) Prec@1 55.625 (54.863) Prec@5 84.375 (83.810) Epoch: [70][8760/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7344 (1.6862) Prec@1 57.500 (54.864) Prec@5 81.250 (83.810) Epoch: [70][8770/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6605 (1.6861) Prec@1 61.875 (54.866) Prec@5 84.375 (83.810) Epoch: [70][8780/11272] Time 0.868 (0.776) Data 0.002 (0.002) Loss 1.8276 (1.6862) Prec@1 50.000 (54.864) Prec@5 79.375 (83.810) Epoch: [70][8790/11272] Time 0.694 (0.776) Data 0.001 (0.002) Loss 1.6282 (1.6861) Prec@1 58.750 (54.865) Prec@5 83.750 (83.810) Epoch: [70][8800/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5063 (1.6861) Prec@1 61.250 (54.865) Prec@5 87.500 (83.811) Epoch: [70][8810/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.5668 (1.6862) Prec@1 56.250 (54.864) Prec@5 83.750 (83.810) Epoch: [70][8820/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.7182 (1.6862) Prec@1 51.250 (54.864) Prec@5 82.500 (83.810) Epoch: [70][8830/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.6960 (1.6862) Prec@1 53.750 (54.864) Prec@5 83.125 (83.810) Epoch: [70][8840/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6217 (1.6862) Prec@1 54.375 (54.864) Prec@5 80.625 (83.810) Epoch: [70][8850/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.4974 (1.6862) Prec@1 58.750 (54.861) Prec@5 84.375 (83.809) Epoch: [70][8860/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.9562 (1.6863) Prec@1 48.125 (54.859) Prec@5 78.125 (83.807) Epoch: [70][8870/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.8781 (1.6864) Prec@1 49.375 (54.859) Prec@5 80.625 (83.807) Epoch: [70][8880/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.8349 (1.6864) Prec@1 56.250 (54.859) Prec@5 83.750 (83.808) Epoch: [70][8890/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.5969 (1.6864) Prec@1 57.500 (54.859) Prec@5 87.500 (83.808) Epoch: [70][8900/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.4594 (1.6864) Prec@1 61.250 (54.860) Prec@5 89.375 (83.809) Epoch: [70][8910/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.5882 (1.6864) Prec@1 60.625 (54.860) Prec@5 85.625 (83.807) Epoch: [70][8920/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 1.6952 (1.6865) Prec@1 52.500 (54.859) Prec@5 83.750 (83.806) Epoch: [70][8930/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.5744 (1.6865) Prec@1 62.500 (54.860) Prec@5 83.125 (83.805) Epoch: [70][8940/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.9836 (1.6865) Prec@1 48.750 (54.861) Prec@5 81.250 (83.804) Epoch: [70][8950/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 2.0766 (1.6865) Prec@1 45.000 (54.860) Prec@5 79.375 (83.805) Epoch: [70][8960/11272] Time 0.783 (0.776) Data 0.001 (0.002) Loss 1.6479 (1.6866) Prec@1 55.625 (54.859) Prec@5 83.750 (83.804) Epoch: [70][8970/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6344 (1.6866) Prec@1 56.875 (54.858) Prec@5 83.125 (83.803) Epoch: [70][8980/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7094 (1.6866) Prec@1 55.625 (54.855) Prec@5 83.125 (83.804) Epoch: [70][8990/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.8133 (1.6866) Prec@1 54.375 (54.857) Prec@5 81.875 (83.804) Epoch: [70][9000/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.6096 (1.6866) Prec@1 55.000 (54.858) Prec@5 87.500 (83.805) Epoch: [70][9010/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.6962 (1.6866) Prec@1 58.750 (54.856) Prec@5 81.250 (83.805) Epoch: [70][9020/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.7222 (1.6867) Prec@1 54.375 (54.856) Prec@5 83.125 (83.805) Epoch: [70][9030/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.7893 (1.6867) Prec@1 46.875 (54.855) Prec@5 83.125 (83.805) Epoch: [70][9040/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.8906 (1.6867) Prec@1 53.750 (54.855) Prec@5 78.125 (83.804) Epoch: [70][9050/11272] Time 0.791 (0.776) Data 0.003 (0.002) Loss 1.5486 (1.6867) Prec@1 57.500 (54.854) Prec@5 88.125 (83.804) Epoch: [70][9060/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.6740 (1.6867) Prec@1 57.500 (54.856) Prec@5 82.500 (83.804) Epoch: [70][9070/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.6994 (1.6867) Prec@1 52.500 (54.855) Prec@5 80.625 (83.804) Epoch: [70][9080/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 2.0793 (1.6866) Prec@1 46.875 (54.857) Prec@5 75.000 (83.805) Epoch: [70][9090/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.6202 (1.6866) Prec@1 58.125 (54.858) Prec@5 85.000 (83.804) Epoch: [70][9100/11272] Time 0.743 (0.776) Data 0.001 (0.002) Loss 1.6597 (1.6866) Prec@1 53.750 (54.859) Prec@5 84.375 (83.805) Epoch: [70][9110/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.3069 (1.6865) Prec@1 65.625 (54.861) Prec@5 86.875 (83.807) Epoch: [70][9120/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.4298 (1.6866) Prec@1 59.375 (54.859) Prec@5 88.125 (83.806) Epoch: [70][9130/11272] Time 0.755 (0.776) Data 0.001 (0.002) Loss 1.7334 (1.6866) Prec@1 57.500 (54.859) Prec@5 79.375 (83.805) Epoch: [70][9140/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7393 (1.6866) Prec@1 51.250 (54.858) Prec@5 83.750 (83.805) Epoch: [70][9150/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.8899 (1.6867) Prec@1 50.000 (54.855) Prec@5 81.875 (83.804) Epoch: [70][9160/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.7000 (1.6867) Prec@1 51.875 (54.856) Prec@5 85.625 (83.805) Epoch: [70][9170/11272] Time 0.686 (0.776) Data 0.001 (0.002) Loss 1.6230 (1.6867) Prec@1 55.625 (54.856) Prec@5 85.625 (83.805) Epoch: [70][9180/11272] Time 0.780 (0.776) Data 0.001 (0.002) Loss 1.6112 (1.6866) Prec@1 54.375 (54.857) Prec@5 83.750 (83.805) Epoch: [70][9190/11272] Time 0.837 (0.776) Data 0.001 (0.002) Loss 1.8106 (1.6866) Prec@1 53.750 (54.860) Prec@5 80.000 (83.805) Epoch: [70][9200/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.7077 (1.6865) Prec@1 57.500 (54.861) Prec@5 80.000 (83.805) Epoch: [70][9210/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.8172 (1.6865) Prec@1 55.000 (54.861) Prec@5 80.000 (83.805) Epoch: [70][9220/11272] Time 0.856 (0.776) Data 0.001 (0.002) Loss 1.7628 (1.6865) Prec@1 51.250 (54.861) Prec@5 83.125 (83.806) Epoch: [70][9230/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.7743 (1.6865) Prec@1 59.375 (54.862) Prec@5 81.875 (83.806) Epoch: [70][9240/11272] Time 0.733 (0.776) Data 0.001 (0.002) Loss 1.7183 (1.6865) Prec@1 55.000 (54.861) Prec@5 85.625 (83.807) Epoch: [70][9250/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.7076 (1.6865) Prec@1 56.250 (54.860) Prec@5 82.500 (83.808) Epoch: [70][9260/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5667 (1.6864) Prec@1 57.500 (54.862) Prec@5 85.625 (83.809) Epoch: [70][9270/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.5531 (1.6864) Prec@1 57.500 (54.863) Prec@5 86.875 (83.810) Epoch: [70][9280/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.9230 (1.6864) Prec@1 50.625 (54.864) Prec@5 77.500 (83.810) Epoch: [70][9290/11272] Time 0.704 (0.776) Data 0.001 (0.002) Loss 1.5837 (1.6864) Prec@1 56.250 (54.863) Prec@5 86.250 (83.811) Epoch: [70][9300/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.7960 (1.6864) Prec@1 51.875 (54.863) Prec@5 84.375 (83.811) Epoch: [70][9310/11272] Time 0.747 (0.776) Data 0.003 (0.002) Loss 1.6490 (1.6864) Prec@1 56.875 (54.863) Prec@5 85.625 (83.812) Epoch: [70][9320/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.5738 (1.6863) Prec@1 58.125 (54.864) Prec@5 85.000 (83.814) Epoch: [70][9330/11272] Time 0.861 (0.776) Data 0.002 (0.002) Loss 1.7169 (1.6863) Prec@1 53.125 (54.863) Prec@5 84.375 (83.813) Epoch: [70][9340/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6019 (1.6864) Prec@1 56.250 (54.862) Prec@5 86.875 (83.812) Epoch: [70][9350/11272] Time 0.736 (0.776) Data 0.001 (0.002) Loss 1.6435 (1.6864) Prec@1 52.500 (54.862) Prec@5 84.375 (83.812) Epoch: [70][9360/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.7149 (1.6864) Prec@1 53.125 (54.860) Prec@5 80.000 (83.812) Epoch: [70][9370/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.4676 (1.6863) Prec@1 61.250 (54.862) Prec@5 88.750 (83.814) Epoch: [70][9380/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.7808 (1.6863) Prec@1 54.375 (54.862) Prec@5 80.625 (83.815) Epoch: [70][9390/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7120 (1.6864) Prec@1 56.250 (54.862) Prec@5 84.375 (83.814) Epoch: [70][9400/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.9272 (1.6864) Prec@1 50.000 (54.863) Prec@5 81.875 (83.815) Epoch: [70][9410/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.9920 (1.6864) Prec@1 48.750 (54.861) Prec@5 78.750 (83.815) Epoch: [70][9420/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.5772 (1.6864) Prec@1 60.000 (54.861) Prec@5 83.750 (83.815) Epoch: [70][9430/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.7595 (1.6864) Prec@1 51.250 (54.861) Prec@5 83.750 (83.814) Epoch: [70][9440/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.7900 (1.6865) Prec@1 54.375 (54.861) Prec@5 81.250 (83.813) Epoch: [70][9450/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.6381 (1.6865) Prec@1 61.875 (54.862) Prec@5 88.125 (83.812) Epoch: [70][9460/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8600 (1.6866) Prec@1 51.875 (54.862) Prec@5 84.375 (83.812) Epoch: [70][9470/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.9415 (1.6865) Prec@1 45.625 (54.862) Prec@5 80.000 (83.812) Epoch: [70][9480/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.8791 (1.6865) Prec@1 50.625 (54.861) Prec@5 78.750 (83.812) Epoch: [70][9490/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.6647 (1.6866) Prec@1 50.000 (54.858) Prec@5 86.250 (83.812) Epoch: [70][9500/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6574 (1.6866) Prec@1 55.625 (54.858) Prec@5 83.750 (83.812) Epoch: [70][9510/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6673 (1.6865) Prec@1 54.375 (54.858) Prec@5 81.250 (83.813) Epoch: [70][9520/11272] Time 0.869 (0.776) Data 0.002 (0.002) Loss 1.6758 (1.6866) Prec@1 47.500 (54.855) Prec@5 85.000 (83.812) Epoch: [70][9530/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.7619 (1.6866) Prec@1 51.875 (54.854) Prec@5 81.250 (83.812) Epoch: [70][9540/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.9603 (1.6866) Prec@1 50.000 (54.855) Prec@5 79.375 (83.811) Epoch: [70][9550/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.5866 (1.6866) Prec@1 56.875 (54.854) Prec@5 84.375 (83.812) Epoch: [70][9560/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.8531 (1.6866) Prec@1 53.750 (54.854) Prec@5 77.500 (83.811) Epoch: [70][9570/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.6041 (1.6866) Prec@1 54.375 (54.855) Prec@5 85.625 (83.811) Epoch: [70][9580/11272] Time 0.700 (0.776) Data 0.001 (0.002) Loss 1.7418 (1.6866) Prec@1 48.125 (54.856) Prec@5 84.375 (83.812) Epoch: [70][9590/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.6036 (1.6865) Prec@1 62.500 (54.858) Prec@5 86.250 (83.814) Epoch: [70][9600/11272] Time 0.784 (0.776) Data 0.001 (0.002) Loss 1.9568 (1.6865) Prec@1 51.250 (54.858) Prec@5 79.375 (83.814) Epoch: [70][9610/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.7876 (1.6865) Prec@1 53.125 (54.857) Prec@5 80.625 (83.814) Epoch: [70][9620/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7003 (1.6865) Prec@1 55.000 (54.856) Prec@5 86.250 (83.814) Epoch: [70][9630/11272] Time 0.819 (0.776) Data 0.002 (0.002) Loss 1.6236 (1.6865) Prec@1 58.125 (54.858) Prec@5 85.000 (83.815) Epoch: [70][9640/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.5598 (1.6865) Prec@1 56.875 (54.857) Prec@5 86.875 (83.815) Epoch: [70][9650/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.8727 (1.6866) Prec@1 52.500 (54.856) Prec@5 79.375 (83.813) Epoch: [70][9660/11272] Time 0.725 (0.776) Data 0.001 (0.002) Loss 1.9056 (1.6867) Prec@1 46.875 (54.853) Prec@5 81.875 (83.811) Epoch: [70][9670/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.7784 (1.6866) Prec@1 53.125 (54.852) Prec@5 82.500 (83.813) Epoch: [70][9680/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.5952 (1.6866) Prec@1 55.625 (54.853) Prec@5 83.750 (83.813) Epoch: [70][9690/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.7738 (1.6866) Prec@1 53.125 (54.856) Prec@5 81.250 (83.814) Epoch: [70][9700/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.9244 (1.6866) Prec@1 51.250 (54.856) Prec@5 76.250 (83.813) Epoch: [70][9710/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.8711 (1.6866) Prec@1 48.750 (54.855) Prec@5 80.000 (83.813) Epoch: [70][9720/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.6540 (1.6866) Prec@1 57.500 (54.856) Prec@5 84.375 (83.813) Epoch: [70][9730/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5209 (1.6866) Prec@1 58.125 (54.855) Prec@5 88.125 (83.812) Epoch: [70][9740/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.7475 (1.6866) Prec@1 58.750 (54.855) Prec@5 80.000 (83.811) Epoch: [70][9750/11272] Time 0.836 (0.776) Data 0.002 (0.002) Loss 1.9203 (1.6867) Prec@1 54.375 (54.856) Prec@5 78.750 (83.811) Epoch: [70][9760/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7850 (1.6867) Prec@1 49.375 (54.856) Prec@5 81.250 (83.809) Epoch: [70][9770/11272] Time 0.725 (0.777) Data 0.001 (0.002) Loss 1.6532 (1.6867) Prec@1 54.375 (54.856) Prec@5 86.250 (83.811) Epoch: [70][9780/11272] Time 0.821 (0.777) Data 0.001 (0.002) Loss 1.4959 (1.6866) Prec@1 58.125 (54.858) Prec@5 86.875 (83.812) Epoch: [70][9790/11272] Time 0.821 (0.777) Data 0.002 (0.002) Loss 1.6245 (1.6866) Prec@1 54.375 (54.857) Prec@5 87.500 (83.813) Epoch: [70][9800/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6306 (1.6866) Prec@1 52.500 (54.858) Prec@5 87.500 (83.814) Epoch: [70][9810/11272] Time 0.729 (0.777) Data 0.001 (0.002) Loss 2.0669 (1.6866) Prec@1 46.875 (54.859) Prec@5 80.000 (83.814) Epoch: [70][9820/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.7218 (1.6865) Prec@1 52.500 (54.859) Prec@5 86.250 (83.815) Epoch: [70][9830/11272] Time 0.913 (0.777) Data 0.002 (0.002) Loss 1.5031 (1.6865) Prec@1 60.625 (54.859) Prec@5 85.625 (83.815) Epoch: [70][9840/11272] Time 0.734 (0.777) Data 0.001 (0.002) Loss 1.7588 (1.6866) Prec@1 50.625 (54.859) Prec@5 84.375 (83.814) Epoch: [70][9850/11272] Time 0.847 (0.777) Data 0.001 (0.002) Loss 1.8804 (1.6866) Prec@1 48.750 (54.858) Prec@5 80.625 (83.814) Epoch: [70][9860/11272] Time 0.826 (0.777) Data 0.001 (0.002) Loss 1.8282 (1.6866) Prec@1 48.750 (54.859) Prec@5 80.625 (83.815) Epoch: [70][9870/11272] Time 0.723 (0.777) Data 0.001 (0.002) Loss 1.8302 (1.6866) Prec@1 49.375 (54.858) Prec@5 86.250 (83.815) Epoch: [70][9880/11272] Time 0.746 (0.777) Data 0.002 (0.002) Loss 1.5979 (1.6866) Prec@1 56.875 (54.858) Prec@5 83.750 (83.814) Epoch: [70][9890/11272] Time 0.838 (0.777) Data 0.002 (0.002) Loss 1.5388 (1.6866) Prec@1 59.375 (54.859) Prec@5 85.625 (83.815) Epoch: [70][9900/11272] Time 0.807 (0.777) Data 0.001 (0.002) Loss 1.8677 (1.6865) Prec@1 49.375 (54.858) Prec@5 85.000 (83.817) Epoch: [70][9910/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.6719 (1.6866) Prec@1 56.250 (54.857) Prec@5 83.750 (83.816) Epoch: [70][9920/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.6354 (1.6866) Prec@1 56.875 (54.858) Prec@5 84.375 (83.816) Epoch: [70][9930/11272] Time 0.812 (0.777) Data 0.001 (0.002) Loss 1.7661 (1.6865) Prec@1 57.500 (54.859) Prec@5 80.000 (83.816) Epoch: [70][9940/11272] Time 0.805 (0.777) Data 0.001 (0.002) Loss 1.7820 (1.6866) Prec@1 55.000 (54.858) Prec@5 82.500 (83.815) Epoch: [70][9950/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 1.8525 (1.6866) Prec@1 52.500 (54.858) Prec@5 80.625 (83.815) Epoch: [70][9960/11272] Time 0.687 (0.777) Data 0.001 (0.002) Loss 1.7737 (1.6866) Prec@1 51.875 (54.857) Prec@5 83.125 (83.815) Epoch: [70][9970/11272] Time 0.872 (0.777) Data 0.002 (0.002) Loss 1.8960 (1.6866) Prec@1 50.625 (54.857) Prec@5 78.750 (83.815) Epoch: [70][9980/11272] Time 0.759 (0.777) Data 0.004 (0.002) Loss 1.8378 (1.6866) Prec@1 51.250 (54.857) Prec@5 83.125 (83.815) Epoch: [70][9990/11272] Time 0.700 (0.777) Data 0.001 (0.002) Loss 1.6514 (1.6866) Prec@1 53.750 (54.858) Prec@5 84.375 (83.813) Epoch: [70][10000/11272] Time 0.847 (0.777) Data 0.001 (0.002) Loss 1.7962 (1.6866) Prec@1 56.250 (54.858) Prec@5 79.375 (83.812) Epoch: [70][10010/11272] Time 0.846 (0.777) Data 0.002 (0.002) Loss 1.6302 (1.6867) Prec@1 55.625 (54.857) Prec@5 86.875 (83.812) Epoch: [70][10020/11272] Time 0.732 (0.777) Data 0.002 (0.002) Loss 1.7091 (1.6867) Prec@1 56.250 (54.856) Prec@5 80.625 (83.812) Epoch: [70][10030/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.9863 (1.6868) Prec@1 46.875 (54.854) Prec@5 80.000 (83.811) Epoch: [70][10040/11272] Time 0.871 (0.777) Data 0.003 (0.002) Loss 1.5981 (1.6868) Prec@1 55.625 (54.853) Prec@5 85.000 (83.810) Epoch: [70][10050/11272] Time 0.803 (0.777) Data 0.001 (0.002) Loss 1.8032 (1.6868) Prec@1 58.125 (54.854) Prec@5 79.375 (83.811) Epoch: [70][10060/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.6426 (1.6868) Prec@1 51.875 (54.854) Prec@5 88.125 (83.811) Epoch: [70][10070/11272] Time 0.693 (0.777) Data 0.001 (0.002) Loss 1.5516 (1.6868) Prec@1 57.500 (54.856) Prec@5 84.375 (83.812) Epoch: [70][10080/11272] Time 0.842 (0.777) Data 0.002 (0.002) Loss 1.7025 (1.6868) Prec@1 53.125 (54.856) Prec@5 82.500 (83.813) Epoch: [70][10090/11272] Time 0.822 (0.777) Data 0.002 (0.002) Loss 1.4697 (1.6868) Prec@1 57.500 (54.856) Prec@5 86.250 (83.814) Epoch: [70][10100/11272] Time 0.751 (0.777) Data 0.002 (0.002) Loss 1.8669 (1.6868) Prec@1 53.750 (54.856) Prec@5 80.000 (83.813) Epoch: [70][10110/11272] Time 0.853 (0.777) Data 0.001 (0.002) Loss 1.6242 (1.6868) Prec@1 57.500 (54.856) Prec@5 86.250 (83.814) Epoch: [70][10120/11272] Time 0.846 (0.777) Data 0.001 (0.002) Loss 1.9278 (1.6867) Prec@1 51.250 (54.857) Prec@5 81.250 (83.815) Epoch: [70][10130/11272] Time 0.698 (0.777) Data 0.001 (0.002) Loss 1.5510 (1.6867) Prec@1 59.375 (54.858) Prec@5 85.625 (83.815) Epoch: [70][10140/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.6322 (1.6867) Prec@1 55.625 (54.858) Prec@5 84.375 (83.815) Epoch: [70][10150/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.4724 (1.6867) Prec@1 62.500 (54.858) Prec@5 86.250 (83.815) Epoch: [70][10160/11272] Time 0.843 (0.777) Data 0.002 (0.002) Loss 1.6311 (1.6867) Prec@1 56.250 (54.859) Prec@5 83.750 (83.813) Epoch: [70][10170/11272] Time 0.704 (0.777) Data 0.001 (0.002) Loss 1.5614 (1.6867) Prec@1 60.000 (54.858) Prec@5 83.125 (83.812) Epoch: [70][10180/11272] Time 0.711 (0.777) Data 0.001 (0.002) Loss 1.7841 (1.6868) Prec@1 55.625 (54.859) Prec@5 83.750 (83.811) Epoch: [70][10190/11272] Time 0.830 (0.777) Data 0.001 (0.002) Loss 1.8338 (1.6868) Prec@1 51.875 (54.859) Prec@5 80.000 (83.811) Epoch: [70][10200/11272] Time 0.808 (0.777) Data 0.001 (0.002) Loss 1.6139 (1.6869) Prec@1 58.125 (54.861) Prec@5 84.375 (83.810) Epoch: [70][10210/11272] Time 0.705 (0.777) Data 0.001 (0.002) Loss 1.6177 (1.6868) Prec@1 59.375 (54.863) Prec@5 84.375 (83.810) Epoch: [70][10220/11272] Time 0.726 (0.777) Data 0.001 (0.002) Loss 1.6072 (1.6869) Prec@1 55.625 (54.862) Prec@5 83.750 (83.809) Epoch: [70][10230/11272] Time 0.826 (0.777) Data 0.002 (0.002) Loss 1.8530 (1.6869) Prec@1 55.000 (54.860) Prec@5 81.875 (83.807) Epoch: [70][10240/11272] Time 0.750 (0.777) Data 0.003 (0.002) Loss 1.7704 (1.6870) Prec@1 56.875 (54.860) Prec@5 75.625 (83.806) Epoch: [70][10250/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 1.8540 (1.6870) Prec@1 50.000 (54.860) Prec@5 79.375 (83.806) Epoch: [70][10260/11272] Time 0.831 (0.777) Data 0.001 (0.002) Loss 1.7720 (1.6870) Prec@1 56.250 (54.861) Prec@5 81.875 (83.805) Epoch: [70][10270/11272] Time 0.853 (0.777) Data 0.002 (0.002) Loss 1.7721 (1.6870) Prec@1 56.250 (54.862) Prec@5 82.500 (83.806) Epoch: [70][10280/11272] Time 0.734 (0.777) Data 0.001 (0.002) Loss 1.6438 (1.6870) Prec@1 58.125 (54.862) Prec@5 83.750 (83.806) Epoch: [70][10290/11272] Time 0.716 (0.777) Data 0.001 (0.002) Loss 1.6165 (1.6870) Prec@1 59.375 (54.861) Prec@5 84.375 (83.805) Epoch: [70][10300/11272] Time 0.809 (0.777) Data 0.001 (0.002) Loss 1.6970 (1.6869) Prec@1 52.500 (54.862) Prec@5 83.125 (83.806) Epoch: [70][10310/11272] Time 0.854 (0.777) Data 0.001 (0.002) Loss 1.6524 (1.6869) Prec@1 60.625 (54.861) Prec@5 80.000 (83.806) Epoch: [70][10320/11272] Time 0.724 (0.777) Data 0.001 (0.002) Loss 1.6759 (1.6869) Prec@1 52.500 (54.862) Prec@5 86.250 (83.807) Epoch: [70][10330/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.5775 (1.6870) Prec@1 55.000 (54.859) Prec@5 86.875 (83.805) Epoch: [70][10340/11272] Time 0.833 (0.777) Data 0.001 (0.002) Loss 1.6698 (1.6871) Prec@1 59.375 (54.858) Prec@5 80.000 (83.803) Epoch: [70][10350/11272] Time 0.807 (0.777) Data 0.001 (0.002) Loss 1.8195 (1.6871) Prec@1 53.750 (54.858) Prec@5 78.750 (83.802) Epoch: [70][10360/11272] Time 0.689 (0.777) Data 0.001 (0.002) Loss 1.9336 (1.6870) Prec@1 51.875 (54.860) Prec@5 80.000 (83.803) Epoch: [70][10370/11272] Time 0.796 (0.777) Data 0.001 (0.002) Loss 1.5874 (1.6870) Prec@1 55.625 (54.859) Prec@5 84.375 (83.803) Epoch: [70][10380/11272] Time 0.843 (0.777) Data 0.002 (0.002) Loss 1.4853 (1.6871) Prec@1 58.750 (54.857) Prec@5 88.750 (83.803) Epoch: [70][10390/11272] Time 0.716 (0.777) Data 0.001 (0.002) Loss 1.8156 (1.6870) Prec@1 53.750 (54.859) Prec@5 81.250 (83.805) Epoch: [70][10400/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.6211 (1.6870) Prec@1 57.500 (54.859) Prec@5 82.500 (83.807) Epoch: [70][10410/11272] Time 0.808 (0.777) Data 0.001 (0.002) Loss 1.7740 (1.6869) Prec@1 51.250 (54.860) Prec@5 86.250 (83.807) Epoch: [70][10420/11272] Time 0.849 (0.777) Data 0.002 (0.002) Loss 1.5834 (1.6869) Prec@1 57.500 (54.860) Prec@5 88.750 (83.807) Epoch: [70][10430/11272] Time 0.701 (0.777) Data 0.002 (0.002) Loss 1.7931 (1.6870) Prec@1 51.250 (54.860) Prec@5 78.125 (83.805) Epoch: [70][10440/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 1.6703 (1.6869) Prec@1 53.750 (54.861) Prec@5 84.375 (83.807) Epoch: [70][10450/11272] Time 0.876 (0.777) Data 0.002 (0.002) Loss 1.6734 (1.6869) Prec@1 60.000 (54.861) Prec@5 84.375 (83.808) Epoch: [70][10460/11272] Time 0.871 (0.777) Data 0.002 (0.002) Loss 1.7024 (1.6869) Prec@1 51.250 (54.860) Prec@5 84.375 (83.807) Epoch: [70][10470/11272] Time 0.728 (0.777) Data 0.001 (0.002) Loss 1.6795 (1.6869) Prec@1 58.750 (54.860) Prec@5 83.125 (83.807) Epoch: [70][10480/11272] Time 0.710 (0.777) Data 0.001 (0.002) Loss 1.7045 (1.6870) Prec@1 56.875 (54.860) Prec@5 81.875 (83.807) Epoch: [70][10490/11272] Time 0.855 (0.777) Data 0.002 (0.002) Loss 1.8416 (1.6870) Prec@1 53.125 (54.861) Prec@5 82.500 (83.807) Epoch: [70][10500/11272] Time 0.814 (0.777) Data 0.001 (0.002) Loss 1.6152 (1.6870) Prec@1 51.250 (54.861) Prec@5 85.625 (83.805) Epoch: [70][10510/11272] Time 0.709 (0.777) Data 0.002 (0.002) Loss 1.5042 (1.6871) Prec@1 60.000 (54.861) Prec@5 85.000 (83.805) Epoch: [70][10520/11272] Time 0.883 (0.777) Data 0.001 (0.002) Loss 1.7898 (1.6871) Prec@1 51.875 (54.859) Prec@5 85.625 (83.804) Epoch: [70][10530/11272] Time 0.825 (0.777) Data 0.001 (0.002) Loss 1.7738 (1.6872) Prec@1 53.750 (54.858) Prec@5 82.500 (83.803) Epoch: [70][10540/11272] Time 0.766 (0.777) Data 0.002 (0.002) Loss 1.5849 (1.6871) Prec@1 57.500 (54.858) Prec@5 86.250 (83.803) Epoch: [70][10550/11272] Time 0.713 (0.777) Data 0.002 (0.002) Loss 1.7508 (1.6871) Prec@1 53.125 (54.859) Prec@5 83.125 (83.803) Epoch: [70][10560/11272] Time 0.876 (0.777) Data 0.002 (0.002) Loss 1.7285 (1.6872) Prec@1 56.250 (54.858) Prec@5 80.625 (83.801) Epoch: [70][10570/11272] Time 0.803 (0.777) Data 0.001 (0.002) Loss 1.5093 (1.6872) Prec@1 62.500 (54.859) Prec@5 88.125 (83.801) Epoch: [70][10580/11272] Time 0.742 (0.777) Data 0.001 (0.002) Loss 1.9246 (1.6872) Prec@1 50.000 (54.860) Prec@5 80.625 (83.800) Epoch: [70][10590/11272] Time 0.726 (0.777) Data 0.001 (0.002) Loss 1.5898 (1.6872) Prec@1 55.000 (54.860) Prec@5 85.625 (83.799) Epoch: [70][10600/11272] Time 0.802 (0.777) Data 0.001 (0.002) Loss 1.8592 (1.6873) Prec@1 49.375 (54.860) Prec@5 83.750 (83.799) Epoch: [70][10610/11272] Time 0.818 (0.777) Data 0.001 (0.002) Loss 1.6889 (1.6873) Prec@1 54.375 (54.860) Prec@5 82.500 (83.799) Epoch: [70][10620/11272] Time 0.706 (0.777) Data 0.001 (0.002) Loss 1.9085 (1.6873) Prec@1 48.750 (54.859) Prec@5 76.250 (83.798) Epoch: [70][10630/11272] Time 0.680 (0.777) Data 0.001 (0.002) Loss 1.6147 (1.6873) Prec@1 53.750 (54.859) Prec@5 86.875 (83.799) Epoch: [70][10640/11272] Time 0.857 (0.777) Data 0.002 (0.002) Loss 1.6348 (1.6872) Prec@1 57.500 (54.861) Prec@5 85.625 (83.799) Epoch: [70][10650/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.8105 (1.6872) Prec@1 53.750 (54.860) Prec@5 78.125 (83.799) Epoch: [70][10660/11272] Time 0.740 (0.777) Data 0.001 (0.002) Loss 1.6296 (1.6872) Prec@1 58.125 (54.860) Prec@5 85.000 (83.800) Epoch: [70][10670/11272] Time 0.830 (0.777) Data 0.001 (0.002) Loss 1.5151 (1.6872) Prec@1 56.875 (54.859) Prec@5 84.375 (83.800) Epoch: [70][10680/11272] Time 0.799 (0.777) Data 0.001 (0.002) Loss 1.5238 (1.6871) Prec@1 61.250 (54.862) Prec@5 85.000 (83.800) Epoch: [70][10690/11272] Time 0.748 (0.777) Data 0.002 (0.002) Loss 1.6963 (1.6872) Prec@1 55.000 (54.862) Prec@5 83.750 (83.800) Epoch: [70][10700/11272] Time 0.719 (0.777) Data 0.001 (0.002) Loss 1.5862 (1.6871) Prec@1 55.625 (54.862) Prec@5 85.000 (83.801) Epoch: [70][10710/11272] Time 0.846 (0.777) Data 0.001 (0.002) Loss 1.6192 (1.6871) Prec@1 57.500 (54.861) Prec@5 85.000 (83.801) Epoch: [70][10720/11272] Time 0.825 (0.777) Data 0.001 (0.002) Loss 1.6829 (1.6872) Prec@1 53.125 (54.859) Prec@5 86.250 (83.802) Epoch: [70][10730/11272] Time 0.728 (0.777) Data 0.001 (0.002) Loss 1.8528 (1.6872) Prec@1 53.125 (54.859) Prec@5 83.125 (83.801) Epoch: [70][10740/11272] Time 0.735 (0.777) Data 0.001 (0.002) Loss 2.1221 (1.6871) Prec@1 44.375 (54.861) Prec@5 76.875 (83.802) Epoch: [70][10750/11272] Time 0.838 (0.777) Data 0.002 (0.002) Loss 1.6199 (1.6871) Prec@1 58.750 (54.863) Prec@5 83.750 (83.803) Epoch: [70][10760/11272] Time 0.833 (0.777) Data 0.002 (0.002) Loss 1.4687 (1.6870) Prec@1 61.875 (54.864) Prec@5 87.500 (83.804) Epoch: [70][10770/11272] Time 0.717 (0.777) Data 0.001 (0.002) Loss 1.6983 (1.6871) Prec@1 52.500 (54.863) Prec@5 82.500 (83.803) Epoch: [70][10780/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.6879 (1.6870) Prec@1 53.125 (54.862) Prec@5 84.375 (83.803) Epoch: [70][10790/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.8251 (1.6871) Prec@1 55.625 (54.860) Prec@5 80.625 (83.802) Epoch: [70][10800/11272] Time 0.763 (0.777) Data 0.001 (0.002) Loss 1.4685 (1.6871) Prec@1 58.750 (54.861) Prec@5 85.000 (83.802) Epoch: [70][10810/11272] Time 0.737 (0.777) Data 0.001 (0.002) Loss 1.6736 (1.6870) Prec@1 54.375 (54.860) Prec@5 85.000 (83.803) Epoch: [70][10820/11272] Time 0.858 (0.777) Data 0.002 (0.002) Loss 2.0695 (1.6871) Prec@1 43.125 (54.858) Prec@5 76.875 (83.801) Epoch: [70][10830/11272] Time 0.836 (0.777) Data 0.002 (0.002) Loss 1.7399 (1.6871) Prec@1 58.125 (54.858) Prec@5 79.375 (83.800) Epoch: [70][10840/11272] Time 0.749 (0.777) Data 0.001 (0.002) Loss 1.7194 (1.6871) Prec@1 52.500 (54.858) Prec@5 85.000 (83.800) Epoch: [70][10850/11272] Time 0.704 (0.777) Data 0.001 (0.002) Loss 1.6244 (1.6872) Prec@1 56.875 (54.857) Prec@5 86.875 (83.800) Epoch: [70][10860/11272] Time 0.812 (0.777) Data 0.001 (0.002) Loss 1.6223 (1.6871) Prec@1 54.375 (54.856) Prec@5 83.750 (83.800) Epoch: [70][10870/11272] Time 0.819 (0.777) Data 0.001 (0.002) Loss 1.6416 (1.6872) Prec@1 50.625 (54.855) Prec@5 84.375 (83.800) Epoch: [70][10880/11272] Time 0.753 (0.777) Data 0.002 (0.002) Loss 1.5388 (1.6872) Prec@1 56.875 (54.855) Prec@5 85.625 (83.800) Epoch: [70][10890/11272] Time 0.727 (0.777) Data 0.001 (0.002) Loss 1.7537 (1.6872) Prec@1 59.375 (54.855) Prec@5 80.625 (83.799) Epoch: [70][10900/11272] Time 0.826 (0.777) Data 0.001 (0.002) Loss 1.6750 (1.6872) Prec@1 55.000 (54.855) Prec@5 81.875 (83.798) Epoch: [70][10910/11272] Time 0.775 (0.777) Data 0.004 (0.002) Loss 1.7751 (1.6873) Prec@1 51.250 (54.853) Prec@5 78.750 (83.797) Epoch: [70][10920/11272] Time 0.709 (0.777) Data 0.001 (0.002) Loss 1.5661 (1.6873) Prec@1 58.750 (54.854) Prec@5 86.875 (83.796) Epoch: [70][10930/11272] Time 0.827 (0.777) Data 0.001 (0.002) Loss 1.7019 (1.6873) Prec@1 55.625 (54.854) Prec@5 81.875 (83.796) Epoch: [70][10940/11272] Time 0.821 (0.777) Data 0.001 (0.002) Loss 1.7701 (1.6873) Prec@1 53.125 (54.855) Prec@5 80.625 (83.796) Epoch: [70][10950/11272] Time 0.703 (0.777) Data 0.001 (0.002) Loss 1.7145 (1.6873) Prec@1 57.500 (54.856) Prec@5 82.500 (83.796) Epoch: [70][10960/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.5845 (1.6873) Prec@1 58.125 (54.855) Prec@5 86.250 (83.795) Epoch: [70][10970/11272] Time 0.824 (0.777) Data 0.001 (0.002) Loss 1.8445 (1.6873) Prec@1 54.375 (54.856) Prec@5 78.750 (83.794) Epoch: [70][10980/11272] Time 0.842 (0.777) Data 0.001 (0.002) Loss 1.6998 (1.6873) Prec@1 53.125 (54.856) Prec@5 81.875 (83.793) Epoch: [70][10990/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.8065 (1.6874) Prec@1 48.125 (54.853) Prec@5 81.875 (83.793) Epoch: [70][11000/11272] Time 0.716 (0.777) Data 0.001 (0.002) Loss 1.7079 (1.6874) Prec@1 51.250 (54.853) Prec@5 84.375 (83.793) Epoch: [70][11010/11272] Time 0.830 (0.777) Data 0.001 (0.002) Loss 1.9289 (1.6874) Prec@1 53.125 (54.852) Prec@5 78.750 (83.792) Epoch: [70][11020/11272] Time 0.840 (0.777) Data 0.001 (0.002) Loss 1.5735 (1.6875) Prec@1 58.750 (54.851) Prec@5 83.750 (83.790) Epoch: [70][11030/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 1.3632 (1.6875) Prec@1 65.625 (54.851) Prec@5 89.375 (83.791) Epoch: [70][11040/11272] Time 0.823 (0.777) Data 0.001 (0.002) Loss 1.6618 (1.6874) Prec@1 54.375 (54.851) Prec@5 83.125 (83.792) Epoch: [70][11050/11272] Time 0.849 (0.777) Data 0.002 (0.002) Loss 1.6765 (1.6875) Prec@1 55.000 (54.850) Prec@5 83.125 (83.790) Epoch: [70][11060/11272] Time 0.717 (0.777) Data 0.001 (0.002) Loss 1.6774 (1.6875) Prec@1 56.875 (54.849) Prec@5 86.250 (83.790) Epoch: [70][11070/11272] Time 0.711 (0.777) Data 0.001 (0.002) Loss 1.6662 (1.6875) Prec@1 55.625 (54.850) Prec@5 85.625 (83.791) Epoch: [70][11080/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.6422 (1.6875) Prec@1 59.375 (54.848) Prec@5 85.000 (83.791) Epoch: [70][11090/11272] Time 0.844 (0.777) Data 0.002 (0.002) Loss 1.6203 (1.6875) Prec@1 59.375 (54.848) Prec@5 83.750 (83.790) Epoch: [70][11100/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.5173 (1.6876) Prec@1 56.250 (54.847) Prec@5 86.250 (83.790) Epoch: [70][11110/11272] Time 0.719 (0.777) Data 0.001 (0.002) Loss 1.6269 (1.6876) Prec@1 55.625 (54.845) Prec@5 84.375 (83.790) Epoch: [70][11120/11272] Time 0.823 (0.777) Data 0.002 (0.002) Loss 1.8453 (1.6876) Prec@1 47.500 (54.843) Prec@5 81.250 (83.789) Epoch: [70][11130/11272] Time 0.815 (0.777) Data 0.001 (0.002) Loss 1.8456 (1.6876) Prec@1 56.875 (54.843) Prec@5 79.375 (83.788) Epoch: [70][11140/11272] Time 0.715 (0.777) Data 0.005 (0.002) Loss 1.7246 (1.6877) Prec@1 52.500 (54.841) Prec@5 82.500 (83.787) Epoch: [70][11150/11272] Time 0.711 (0.777) Data 0.001 (0.002) Loss 1.5322 (1.6877) Prec@1 57.500 (54.840) Prec@5 85.625 (83.787) Epoch: [70][11160/11272] Time 0.836 (0.777) Data 0.001 (0.002) Loss 1.8156 (1.6878) Prec@1 51.250 (54.840) Prec@5 81.875 (83.787) Epoch: [70][11170/11272] Time 0.737 (0.777) Data 0.003 (0.002) Loss 1.5598 (1.6877) Prec@1 59.375 (54.840) Prec@5 86.250 (83.787) Epoch: [70][11180/11272] Time 0.715 (0.777) Data 0.001 (0.002) Loss 1.5392 (1.6877) Prec@1 54.375 (54.840) Prec@5 86.875 (83.787) Epoch: [70][11190/11272] Time 0.818 (0.777) Data 0.001 (0.002) Loss 1.6473 (1.6878) Prec@1 56.250 (54.839) Prec@5 88.125 (83.787) Epoch: [70][11200/11272] Time 0.816 (0.777) Data 0.001 (0.002) Loss 1.4590 (1.6878) Prec@1 59.375 (54.839) Prec@5 88.125 (83.787) Epoch: [70][11210/11272] Time 0.723 (0.777) Data 0.001 (0.002) Loss 1.5643 (1.6877) Prec@1 60.625 (54.839) Prec@5 86.875 (83.787) Epoch: [70][11220/11272] Time 0.706 (0.777) Data 0.001 (0.002) Loss 1.7431 (1.6878) Prec@1 48.125 (54.838) Prec@5 83.125 (83.787) Epoch: [70][11230/11272] Time 0.869 (0.777) Data 0.002 (0.002) Loss 1.6967 (1.6878) Prec@1 58.750 (54.837) Prec@5 83.750 (83.786) Epoch: [70][11240/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.5595 (1.6878) Prec@1 56.875 (54.838) Prec@5 86.250 (83.787) Epoch: [70][11250/11272] Time 0.735 (0.777) Data 0.001 (0.002) Loss 1.7620 (1.6877) Prec@1 55.625 (54.840) Prec@5 81.250 (83.788) Epoch: [70][11260/11272] Time 0.727 (0.777) Data 0.001 (0.002) Loss 1.5831 (1.6877) Prec@1 58.125 (54.840) Prec@5 83.750 (83.788) Epoch: [70][11270/11272] Time 0.780 (0.777) Data 0.000 (0.002) Loss 1.8416 (1.6878) Prec@1 49.375 (54.838) Prec@5 79.375 (83.786) Test: [0/229] Time 2.876 (2.876) Loss 1.0994 (1.0994) Prec@1 66.250 (66.250) Prec@5 95.000 (95.000) Test: [10/229] Time 0.343 (0.703) Loss 0.9776 (1.5724) Prec@1 70.000 (57.727) Prec@5 97.500 (87.386) Test: [20/229] Time 1.001 (0.619) Loss 2.0326 (1.6524) Prec@1 45.625 (54.196) Prec@5 81.875 (86.607) Test: [30/229] Time 0.322 (0.569) Loss 1.8445 (1.5823) Prec@1 48.125 (56.734) Prec@5 86.875 (87.177) Test: [40/229] Time 0.688 (0.558) Loss 0.3977 (1.5728) Prec@1 91.875 (57.058) Prec@5 95.625 (87.149) Test: [50/229] Time 0.407 (0.548) Loss 2.1918 (1.6321) Prec@1 36.875 (55.723) Prec@5 82.500 (85.931) Test: [60/229] Time 0.439 (0.539) Loss 2.1574 (1.6160) Prec@1 39.375 (56.086) Prec@5 84.375 (86.189) Test: [70/229] Time 0.352 (0.540) Loss 1.3648 (1.6319) Prec@1 68.125 (55.889) Prec@5 85.000 (86.065) Test: [80/229] Time 0.623 (0.535) Loss 2.1719 (1.6547) Prec@1 36.875 (54.992) Prec@5 84.375 (85.988) Test: [90/229] Time 0.433 (0.531) Loss 1.2248 (1.6631) Prec@1 72.500 (54.918) Prec@5 86.875 (85.927) Test: [100/229] Time 0.712 (0.529) Loss 1.9317 (1.6517) Prec@1 52.500 (55.328) Prec@5 84.375 (85.990) Test: [110/229] Time 0.542 (0.527) Loss 1.2940 (1.6312) Prec@1 65.000 (55.794) Prec@5 86.875 (86.188) Test: [120/229] Time 0.549 (0.525) Loss 2.8466 (1.6525) Prec@1 35.000 (55.232) Prec@5 75.625 (85.909) Test: [130/229] Time 0.746 (0.525) Loss 1.2057 (1.6348) Prec@1 62.500 (55.649) Prec@5 93.750 (86.112) Test: [140/229] Time 0.483 (0.523) Loss 1.7188 (1.6442) Prec@1 54.375 (55.359) Prec@5 86.250 (86.068) Test: [150/229] Time 0.773 (0.524) Loss 1.0872 (1.6568) Prec@1 73.125 (55.070) Prec@5 90.625 (85.935) Test: [160/229] Time 0.366 (0.522) Loss 1.7517 (1.6607) Prec@1 56.875 (54.887) Prec@5 84.375 (85.862) Test: [170/229] Time 0.982 (0.523) Loss 1.7544 (1.6691) Prec@1 52.500 (54.635) Prec@5 87.500 (85.779) Test: [180/229] Time 0.376 (0.521) Loss 2.4188 (1.6752) Prec@1 36.250 (54.627) Prec@5 69.375 (85.556) Test: [190/229] Time 0.936 (0.522) Loss 1.1933 (1.6657) Prec@1 68.125 (54.876) Prec@5 93.750 (85.638) Test: [200/229] Time 0.418 (0.520) Loss 1.6708 (1.6576) Prec@1 50.625 (54.938) Prec@5 84.375 (85.808) Test: [210/229] Time 0.796 (0.520) Loss 1.0300 (1.6470) Prec@1 68.125 (55.222) Prec@5 93.750 (85.942) Test: [220/229] Time 0.472 (0.519) Loss 1.5651 (1.6372) Prec@1 58.750 (55.594) Prec@5 89.375 (86.021) * Prec@1 55.902 Prec@5 86.051 Epoch: [71][0/11272] Time 4.322 (4.322) Data 3.315 (3.315) Loss 1.7792 (1.7792) Prec@1 55.000 (55.000) Prec@5 83.750 (83.750) Epoch: [71][10/11272] Time 0.833 (1.089) Data 0.002 (0.303) Loss 1.8570 (1.6800) Prec@1 51.875 (54.716) Prec@5 81.250 (83.182) Epoch: [71][20/11272] Time 0.695 (0.935) Data 0.001 (0.159) Loss 1.5416 (1.6447) Prec@1 57.500 (55.357) Prec@5 88.125 (84.048) Epoch: [71][30/11272] Time 0.701 (0.880) Data 0.001 (0.108) Loss 1.3901 (1.6450) Prec@1 61.250 (55.464) Prec@5 86.250 (84.173) Epoch: [71][40/11272] Time 0.821 (0.856) Data 0.001 (0.082) Loss 1.4195 (1.6308) Prec@1 61.250 (55.899) Prec@5 89.375 (84.619) Epoch: [71][50/11272] Time 0.787 (0.838) Data 0.001 (0.066) Loss 1.6180 (1.6297) Prec@1 55.000 (55.674) Prec@5 82.500 (84.669) Epoch: [71][60/11272] Time 0.714 (0.828) Data 0.001 (0.056) Loss 1.7772 (1.6380) Prec@1 55.625 (55.605) Prec@5 82.500 (84.539) Epoch: [71][70/11272] Time 0.717 (0.820) Data 0.001 (0.048) Loss 1.8375 (1.6421) Prec@1 54.375 (55.669) Prec@5 83.750 (84.551) Epoch: [71][80/11272] Time 0.821 (0.816) Data 0.001 (0.042) Loss 1.8060 (1.6511) Prec@1 50.625 (55.494) Prec@5 84.375 (84.437) Epoch: [71][90/11272] Time 0.799 (0.811) Data 0.001 (0.038) Loss 1.6160 (1.6565) Prec@1 53.125 (55.295) Prec@5 83.750 (84.313) Epoch: [71][100/11272] Time 0.723 (0.807) Data 0.002 (0.034) Loss 1.8642 (1.6579) Prec@1 50.000 (55.297) Prec@5 83.750 (84.313) Epoch: [71][110/11272] Time 0.784 (0.804) Data 0.001 (0.031) Loss 1.5884 (1.6596) Prec@1 56.250 (55.389) Prec@5 85.000 (84.291) Epoch: [71][120/11272] Time 0.830 (0.802) Data 0.002 (0.029) Loss 1.6105 (1.6611) Prec@1 56.875 (55.372) Prec@5 85.625 (84.298) Epoch: [71][130/11272] Time 0.705 (0.799) Data 0.001 (0.027) Loss 1.5694 (1.6663) Prec@1 60.000 (55.320) Prec@5 85.625 (84.198) Epoch: [71][140/11272] Time 0.725 (0.797) Data 0.002 (0.025) Loss 1.4953 (1.6700) Prec@1 58.125 (55.257) Prec@5 88.750 (84.074) Epoch: [71][150/11272] Time 0.822 (0.796) Data 0.001 (0.023) Loss 1.7965 (1.6712) Prec@1 52.500 (55.232) Prec@5 83.125 (83.994) Epoch: [71][160/11272] Time 0.849 (0.795) Data 0.002 (0.022) Loss 1.6505 (1.6767) Prec@1 55.000 (55.132) Prec@5 81.875 (83.894) Epoch: [71][170/11272] Time 0.708 (0.793) Data 0.001 (0.021) Loss 1.5294 (1.6724) Prec@1 59.375 (55.179) Prec@5 85.000 (83.988) Epoch: [71][180/11272] Time 0.704 (0.792) Data 0.001 (0.020) Loss 1.7767 (1.6719) Prec@1 55.000 (55.256) Prec@5 84.375 (84.002) Epoch: [71][190/11272] Time 0.845 (0.792) Data 0.002 (0.019) Loss 1.7759 (1.6709) Prec@1 56.250 (55.311) Prec@5 80.000 (83.973) Epoch: [71][200/11272] Time 0.862 (0.791) Data 0.002 (0.018) Loss 1.7587 (1.6691) Prec@1 50.000 (55.339) Prec@5 81.875 (84.011) Epoch: [71][210/11272] Time 0.715 (0.790) Data 0.001 (0.017) Loss 1.6324 (1.6711) Prec@1 57.500 (55.237) Prec@5 83.125 (83.943) Epoch: [71][220/11272] Time 0.705 (0.790) Data 0.001 (0.016) Loss 1.8288 (1.6703) Prec@1 52.500 (55.266) Prec@5 81.250 (83.954) Epoch: [71][230/11272] Time 0.817 (0.790) Data 0.001 (0.016) Loss 1.7711 (1.6699) Prec@1 51.250 (55.319) Prec@5 81.875 (83.958) Epoch: [71][240/11272] Time 0.813 (0.789) Data 0.001 (0.015) Loss 1.8516 (1.6713) Prec@1 50.000 (55.288) Prec@5 81.875 (83.952) Epoch: [71][250/11272] Time 0.706 (0.788) Data 0.001 (0.015) Loss 1.6764 (1.6709) Prec@1 56.875 (55.284) Prec@5 83.750 (83.942) Epoch: [71][260/11272] Time 0.843 (0.787) Data 0.001 (0.014) Loss 1.8611 (1.6693) Prec@1 51.250 (55.330) Prec@5 83.750 (83.966) Epoch: [71][270/11272] Time 0.813 (0.787) Data 0.001 (0.014) Loss 1.7094 (1.6746) Prec@1 55.000 (55.196) Prec@5 83.750 (83.851) Epoch: [71][280/11272] Time 0.717 (0.786) Data 0.001 (0.013) Loss 1.7500 (1.6730) Prec@1 49.375 (55.234) Prec@5 83.750 (83.906) Epoch: [71][290/11272] Time 0.710 (0.786) Data 0.001 (0.013) Loss 1.5853 (1.6702) Prec@1 56.250 (55.333) Prec@5 84.375 (83.948) Epoch: [71][300/11272] Time 0.854 (0.786) Data 0.002 (0.012) Loss 1.8119 (1.6699) Prec@1 53.750 (55.316) Prec@5 79.375 (83.968) Epoch: [71][310/11272] Time 0.827 (0.785) Data 0.002 (0.012) Loss 1.6046 (1.6703) Prec@1 55.625 (55.291) Prec@5 86.250 (83.971) Epoch: [71][320/11272] Time 0.719 (0.785) Data 0.001 (0.012) Loss 1.5613 (1.6699) Prec@1 55.625 (55.321) Prec@5 83.750 (83.988) Epoch: [71][330/11272] Time 0.718 (0.785) Data 0.001 (0.011) Loss 1.5996 (1.6706) Prec@1 60.625 (55.344) Prec@5 85.000 (83.969) Epoch: [71][340/11272] Time 0.835 (0.785) Data 0.002 (0.011) Loss 1.6321 (1.6717) Prec@1 51.250 (55.345) Prec@5 85.625 (83.941) Epoch: [71][350/11272] Time 0.816 (0.785) Data 0.001 (0.011) Loss 1.6733 (1.6728) Prec@1 53.750 (55.304) Prec@5 86.875 (83.907) Epoch: [71][360/11272] Time 0.721 (0.784) Data 0.001 (0.011) Loss 1.6162 (1.6737) Prec@1 59.375 (55.280) Prec@5 85.000 (83.899) Epoch: [71][370/11272] Time 0.753 (0.784) Data 0.002 (0.010) Loss 1.4282 (1.6725) Prec@1 66.875 (55.298) Prec@5 88.750 (83.929) Epoch: [71][380/11272] Time 0.796 (0.784) Data 0.001 (0.010) Loss 1.4522 (1.6735) Prec@1 62.500 (55.272) Prec@5 89.375 (83.927) Epoch: [71][390/11272] Time 0.729 (0.783) Data 0.001 (0.010) Loss 1.6690 (1.6731) Prec@1 58.125 (55.294) Prec@5 82.500 (83.934) Epoch: [71][400/11272] Time 0.731 (0.783) Data 0.001 (0.010) Loss 1.4142 (1.6717) Prec@1 61.250 (55.327) Prec@5 88.125 (83.945) Epoch: [71][410/11272] Time 0.813 (0.783) Data 0.001 (0.010) Loss 1.7574 (1.6718) Prec@1 51.875 (55.327) Prec@5 83.125 (83.948) Epoch: [71][420/11272] Time 0.809 (0.783) Data 0.002 (0.009) Loss 1.4014 (1.6703) Prec@1 61.250 (55.344) Prec@5 86.875 (83.990) Epoch: [71][430/11272] Time 0.726 (0.783) Data 0.001 (0.009) Loss 1.5671 (1.6707) Prec@1 52.500 (55.312) Prec@5 86.250 (83.981) Epoch: [71][440/11272] Time 0.737 (0.783) Data 0.003 (0.009) Loss 1.7634 (1.6712) Prec@1 56.250 (55.302) Prec@5 78.750 (83.965) Epoch: [71][450/11272] Time 0.838 (0.783) Data 0.002 (0.009) Loss 1.8202 (1.6714) Prec@1 50.000 (55.292) Prec@5 81.250 (83.983) Epoch: [71][460/11272] Time 0.859 (0.783) Data 0.002 (0.009) Loss 1.5195 (1.6709) Prec@1 60.000 (55.298) Prec@5 85.625 (83.976) Epoch: [71][470/11272] Time 0.706 (0.783) Data 0.001 (0.009) Loss 1.6759 (1.6712) Prec@1 55.625 (55.299) Prec@5 86.250 (83.982) Epoch: [71][480/11272] Time 0.706 (0.783) Data 0.001 (0.008) Loss 1.7340 (1.6696) Prec@1 56.875 (55.324) Prec@5 83.125 (84.016) Epoch: [71][490/11272] Time 0.852 (0.783) Data 0.002 (0.008) Loss 1.7091 (1.6698) Prec@1 53.125 (55.328) Prec@5 83.750 (84.029) Epoch: [71][500/11272] Time 0.813 (0.783) Data 0.001 (0.008) Loss 1.5123 (1.6688) Prec@1 59.375 (55.357) Prec@5 88.750 (84.046) Epoch: [71][510/11272] Time 0.744 (0.783) Data 0.001 (0.008) Loss 1.8014 (1.6697) Prec@1 54.375 (55.331) Prec@5 80.000 (84.033) Epoch: [71][520/11272] Time 0.862 (0.783) Data 0.001 (0.008) Loss 1.6583 (1.6698) Prec@1 51.875 (55.342) Prec@5 86.250 (84.032) Epoch: [71][530/11272] Time 0.832 (0.783) Data 0.001 (0.008) Loss 1.4994 (1.6699) Prec@1 60.000 (55.347) Prec@5 89.375 (84.035) Epoch: [71][540/11272] Time 0.750 (0.783) Data 0.002 (0.008) Loss 1.7714 (1.6686) Prec@1 50.000 (55.367) Prec@5 81.875 (84.080) Epoch: [71][550/11272] Time 0.710 (0.782) Data 0.001 (0.007) Loss 1.6856 (1.6688) Prec@1 51.250 (55.374) Prec@5 82.500 (84.051) Epoch: [71][560/11272] Time 0.853 (0.782) Data 0.001 (0.007) Loss 1.4803 (1.6678) Prec@1 64.375 (55.403) Prec@5 86.250 (84.085) Epoch: [71][570/11272] Time 0.861 (0.782) Data 0.002 (0.007) Loss 1.5590 (1.6660) Prec@1 55.000 (55.426) Prec@5 85.625 (84.127) Epoch: [71][580/11272] Time 0.726 (0.782) Data 0.001 (0.007) Loss 1.5755 (1.6651) Prec@1 57.500 (55.450) Prec@5 87.500 (84.138) Epoch: [71][590/11272] Time 0.710 (0.782) Data 0.002 (0.007) Loss 1.5946 (1.6661) Prec@1 58.125 (55.418) Prec@5 86.875 (84.124) Epoch: [71][600/11272] Time 0.810 (0.782) Data 0.001 (0.007) Loss 1.8263 (1.6663) Prec@1 53.125 (55.414) Prec@5 77.500 (84.101) Epoch: [71][610/11272] Time 0.833 (0.782) Data 0.001 (0.007) Loss 1.5294 (1.6671) Prec@1 54.375 (55.386) Prec@5 86.875 (84.099) Epoch: [71][620/11272] Time 0.709 (0.782) Data 0.001 (0.007) Loss 1.5486 (1.6677) Prec@1 57.500 (55.398) Prec@5 86.250 (84.098) Epoch: [71][630/11272] Time 0.713 (0.782) Data 0.001 (0.007) Loss 1.6564 (1.6671) Prec@1 53.125 (55.396) Prec@5 83.750 (84.098) Epoch: [71][640/11272] Time 0.808 (0.782) Data 0.001 (0.007) Loss 1.8746 (1.6679) Prec@1 50.000 (55.379) Prec@5 81.250 (84.082) Epoch: [71][650/11272] Time 0.744 (0.782) Data 0.003 (0.007) Loss 1.7296 (1.6683) Prec@1 53.750 (55.355) Prec@5 83.125 (84.079) Epoch: [71][660/11272] Time 0.727 (0.782) Data 0.001 (0.007) Loss 1.6920 (1.6678) Prec@1 53.750 (55.364) Prec@5 84.375 (84.086) Epoch: [71][670/11272] Time 0.824 (0.782) Data 0.001 (0.006) Loss 1.8172 (1.6692) Prec@1 50.000 (55.323) Prec@5 81.250 (84.069) Epoch: [71][680/11272] Time 0.839 (0.782) Data 0.001 (0.006) Loss 1.6869 (1.6692) Prec@1 55.000 (55.318) Prec@5 85.000 (84.075) Epoch: [71][690/11272] Time 0.741 (0.782) Data 0.002 (0.006) Loss 1.5580 (1.6698) Prec@1 56.250 (55.295) Prec@5 85.000 (84.048) Epoch: [71][700/11272] Time 0.706 (0.782) Data 0.001 (0.006) Loss 1.9215 (1.6695) Prec@1 50.625 (55.292) Prec@5 80.625 (84.056) Epoch: [71][710/11272] Time 0.940 (0.782) Data 0.002 (0.006) Loss 1.4299 (1.6697) Prec@1 64.375 (55.294) Prec@5 88.750 (84.055) Epoch: [71][720/11272] Time 0.811 (0.782) Data 0.001 (0.006) Loss 1.7876 (1.6696) Prec@1 54.375 (55.317) Prec@5 81.250 (84.056) Epoch: [71][730/11272] Time 0.701 (0.782) Data 0.001 (0.006) Loss 1.4888 (1.6689) Prec@1 61.250 (55.342) Prec@5 86.875 (84.065) Epoch: [71][740/11272] Time 0.734 (0.782) Data 0.001 (0.006) Loss 1.6568 (1.6695) Prec@1 53.125 (55.319) Prec@5 86.250 (84.050) Epoch: [71][750/11272] Time 0.844 (0.782) Data 0.003 (0.006) Loss 1.7762 (1.6696) Prec@1 55.000 (55.307) Prec@5 81.875 (84.055) Epoch: [71][760/11272] Time 0.833 (0.782) Data 0.001 (0.006) Loss 1.6425 (1.6692) Prec@1 55.000 (55.331) Prec@5 84.375 (84.056) Epoch: [71][770/11272] Time 0.737 (0.782) Data 0.001 (0.006) Loss 1.7177 (1.6690) Prec@1 58.125 (55.338) Prec@5 83.125 (84.054) Epoch: [71][780/11272] Time 0.806 (0.782) Data 0.001 (0.006) Loss 1.9244 (1.6686) Prec@1 48.750 (55.359) Prec@5 80.000 (84.063) Epoch: [71][790/11272] Time 0.823 (0.782) Data 0.001 (0.006) Loss 1.8282 (1.6693) Prec@1 54.375 (55.344) Prec@5 83.125 (84.060) Epoch: [71][800/11272] Time 0.714 (0.782) Data 0.001 (0.006) Loss 1.8884 (1.6695) Prec@1 52.500 (55.346) Prec@5 81.875 (84.043) Epoch: [71][810/11272] Time 0.751 (0.782) Data 0.001 (0.006) Loss 1.5238 (1.6687) Prec@1 55.625 (55.356) Prec@5 86.250 (84.058) Epoch: [71][820/11272] Time 0.858 (0.782) Data 0.001 (0.006) Loss 1.8757 (1.6687) Prec@1 51.250 (55.360) Prec@5 78.750 (84.051) Epoch: [71][830/11272] Time 0.827 (0.781) Data 0.002 (0.005) Loss 1.5179 (1.6687) Prec@1 58.750 (55.357) Prec@5 88.750 (84.046) Epoch: [71][840/11272] Time 0.707 (0.781) Data 0.001 (0.005) Loss 1.5326 (1.6692) Prec@1 61.875 (55.354) Prec@5 86.250 (84.034) Epoch: [71][850/11272] Time 0.712 (0.781) Data 0.001 (0.005) Loss 1.6469 (1.6695) Prec@1 57.500 (55.351) Prec@5 86.250 (84.023) Epoch: [71][860/11272] Time 0.830 (0.781) Data 0.001 (0.005) Loss 1.8081 (1.6699) Prec@1 46.875 (55.324) Prec@5 81.875 (84.012) Epoch: [71][870/11272] Time 0.830 (0.781) Data 0.001 (0.005) Loss 1.5338 (1.6701) Prec@1 57.500 (55.325) Prec@5 86.250 (84.001) Epoch: [71][880/11272] Time 0.716 (0.781) Data 0.001 (0.005) Loss 1.6081 (1.6702) Prec@1 64.375 (55.332) Prec@5 85.000 (83.991) Epoch: [71][890/11272] Time 0.704 (0.781) Data 0.001 (0.005) Loss 1.6640 (1.6702) Prec@1 50.625 (55.323) Prec@5 80.625 (83.993) Epoch: [71][900/11272] Time 0.894 (0.781) Data 0.002 (0.005) Loss 1.9749 (1.6705) Prec@1 49.375 (55.321) Prec@5 76.875 (83.994) Epoch: [71][910/11272] Time 0.782 (0.781) Data 0.004 (0.005) Loss 1.6096 (1.6707) Prec@1 61.875 (55.314) Prec@5 82.500 (83.999) Epoch: [71][920/11272] Time 0.687 (0.781) Data 0.001 (0.005) Loss 1.6213 (1.6709) Prec@1 60.625 (55.310) Prec@5 85.000 (83.990) Epoch: [71][930/11272] Time 0.822 (0.781) Data 0.002 (0.005) Loss 1.4865 (1.6707) Prec@1 56.250 (55.292) Prec@5 88.750 (83.999) Epoch: [71][940/11272] Time 0.830 (0.781) Data 0.001 (0.005) Loss 1.6975 (1.6697) Prec@1 58.750 (55.321) Prec@5 85.625 (84.028) Epoch: [71][950/11272] Time 0.737 (0.781) Data 0.001 (0.005) Loss 1.7336 (1.6698) Prec@1 56.875 (55.315) Prec@5 81.250 (84.020) Epoch: [71][960/11272] Time 0.725 (0.781) Data 0.001 (0.005) Loss 1.5845 (1.6705) Prec@1 60.000 (55.304) Prec@5 86.250 (84.009) Epoch: [71][970/11272] Time 0.850 (0.781) Data 0.002 (0.005) Loss 1.3694 (1.6716) Prec@1 62.500 (55.286) Prec@5 91.250 (83.984) Epoch: [71][980/11272] Time 0.817 (0.781) Data 0.001 (0.005) Loss 1.8573 (1.6726) Prec@1 51.250 (55.262) Prec@5 83.125 (83.978) Epoch: [71][990/11272] Time 0.693 (0.781) Data 0.001 (0.005) Loss 1.6992 (1.6725) Prec@1 53.750 (55.262) Prec@5 86.250 (83.985) Epoch: [71][1000/11272] Time 0.711 (0.781) Data 0.001 (0.005) Loss 1.4958 (1.6724) Prec@1 58.125 (55.268) Prec@5 89.375 (83.985) Epoch: [71][1010/11272] Time 0.838 (0.781) Data 0.001 (0.005) Loss 1.7817 (1.6728) Prec@1 48.125 (55.278) Prec@5 79.375 (83.970) Epoch: [71][1020/11272] Time 0.818 (0.781) Data 0.001 (0.005) Loss 1.7606 (1.6732) Prec@1 50.625 (55.264) Prec@5 79.375 (83.959) Epoch: [71][1030/11272] Time 0.701 (0.781) Data 0.001 (0.005) Loss 1.5038 (1.6731) Prec@1 60.000 (55.269) Prec@5 85.000 (83.962) Epoch: [71][1040/11272] Time 0.774 (0.781) Data 0.001 (0.005) Loss 1.5873 (1.6728) Prec@1 59.375 (55.280) Prec@5 86.875 (83.973) Epoch: [71][1050/11272] Time 0.852 (0.781) Data 0.002 (0.005) Loss 1.5200 (1.6723) Prec@1 58.750 (55.294) Prec@5 85.625 (83.990) Epoch: [71][1060/11272] Time 0.771 (0.781) Data 0.002 (0.005) Loss 1.3816 (1.6723) Prec@1 58.750 (55.294) Prec@5 91.250 (83.994) Epoch: [71][1070/11272] Time 0.701 (0.781) Data 0.001 (0.005) Loss 1.6118 (1.6717) Prec@1 50.000 (55.311) Prec@5 85.000 (84.001) Epoch: [71][1080/11272] Time 0.834 (0.781) Data 0.001 (0.005) Loss 1.5132 (1.6714) Prec@1 59.375 (55.324) Prec@5 85.000 (84.011) Epoch: [71][1090/11272] Time 0.821 (0.781) Data 0.001 (0.005) Loss 1.5143 (1.6715) Prec@1 61.250 (55.340) Prec@5 82.500 (83.996) Epoch: [71][1100/11272] Time 0.706 (0.781) Data 0.001 (0.004) Loss 1.8964 (1.6727) Prec@1 49.375 (55.316) Prec@5 81.250 (83.980) Epoch: [71][1110/11272] Time 0.743 (0.780) Data 0.001 (0.004) Loss 1.7335 (1.6718) Prec@1 54.375 (55.340) Prec@5 84.375 (83.993) Epoch: [71][1120/11272] Time 0.848 (0.780) Data 0.002 (0.004) Loss 1.7929 (1.6724) Prec@1 45.000 (55.313) Prec@5 85.625 (83.987) Epoch: [71][1130/11272] Time 0.803 (0.780) Data 0.002 (0.004) Loss 1.6093 (1.6713) Prec@1 53.125 (55.333) Prec@5 85.625 (84.011) Epoch: [71][1140/11272] Time 0.712 (0.780) Data 0.001 (0.004) Loss 1.6523 (1.6713) Prec@1 54.375 (55.345) Prec@5 85.000 (84.009) Epoch: [71][1150/11272] Time 0.761 (0.780) Data 0.002 (0.004) Loss 1.5380 (1.6710) Prec@1 58.750 (55.352) Prec@5 86.250 (84.007) Epoch: [71][1160/11272] Time 0.856 (0.781) Data 0.002 (0.004) Loss 1.8469 (1.6706) Prec@1 53.125 (55.372) Prec@5 80.000 (84.005) Epoch: [71][1170/11272] Time 0.817 (0.781) Data 0.001 (0.004) Loss 1.6134 (1.6712) Prec@1 58.125 (55.347) Prec@5 82.500 (83.989) Epoch: [71][1180/11272] Time 0.706 (0.780) Data 0.001 (0.004) Loss 1.8595 (1.6712) Prec@1 55.000 (55.353) Prec@5 81.250 (83.991) Epoch: [71][1190/11272] Time 0.803 (0.780) Data 0.001 (0.004) Loss 1.8712 (1.6718) Prec@1 55.625 (55.341) Prec@5 78.750 (83.987) Epoch: [71][1200/11272] Time 0.796 (0.780) Data 0.001 (0.004) Loss 1.3867 (1.6719) Prec@1 61.875 (55.353) Prec@5 90.625 (83.987) Epoch: [71][1210/11272] Time 0.718 (0.780) Data 0.001 (0.004) Loss 1.8081 (1.6722) Prec@1 49.375 (55.333) Prec@5 81.875 (83.979) Epoch: [71][1220/11272] Time 0.712 (0.780) Data 0.001 (0.004) Loss 1.4542 (1.6720) Prec@1 60.000 (55.330) Prec@5 85.000 (83.986) Epoch: [71][1230/11272] Time 0.823 (0.780) Data 0.001 (0.004) Loss 1.7514 (1.6723) Prec@1 49.375 (55.321) Prec@5 83.750 (83.975) Epoch: [71][1240/11272] Time 0.813 (0.780) Data 0.001 (0.004) Loss 1.6674 (1.6724) Prec@1 56.250 (55.314) Prec@5 84.375 (83.969) Epoch: [71][1250/11272] Time 0.726 (0.780) Data 0.001 (0.004) Loss 1.6868 (1.6726) Prec@1 56.250 (55.312) Prec@5 81.250 (83.974) Epoch: [71][1260/11272] Time 0.736 (0.780) Data 0.001 (0.004) Loss 1.6765 (1.6724) Prec@1 55.625 (55.316) Prec@5 83.125 (83.973) Epoch: [71][1270/11272] Time 0.869 (0.780) Data 0.002 (0.004) Loss 1.8174 (1.6720) Prec@1 50.000 (55.313) Prec@5 81.875 (83.988) Epoch: [71][1280/11272] Time 0.823 (0.780) Data 0.001 (0.004) Loss 1.5354 (1.6720) Prec@1 51.250 (55.290) Prec@5 88.750 (83.993) Epoch: [71][1290/11272] Time 0.707 (0.780) Data 0.001 (0.004) Loss 1.8277 (1.6721) Prec@1 50.625 (55.282) Prec@5 81.875 (83.993) Epoch: [71][1300/11272] Time 0.739 (0.780) Data 0.001 (0.004) Loss 1.7155 (1.6722) Prec@1 56.875 (55.282) Prec@5 83.750 (83.991) Epoch: [71][1310/11272] Time 0.848 (0.780) Data 0.001 (0.004) Loss 1.7000 (1.6724) Prec@1 55.000 (55.282) Prec@5 79.375 (83.982) Epoch: [71][1320/11272] Time 0.709 (0.780) Data 0.001 (0.004) Loss 1.7946 (1.6724) Prec@1 53.125 (55.272) Prec@5 81.250 (83.986) Epoch: [71][1330/11272] Time 0.721 (0.780) Data 0.001 (0.004) Loss 1.6129 (1.6722) Prec@1 59.375 (55.268) Prec@5 83.750 (83.990) Epoch: [71][1340/11272] Time 0.818 (0.780) Data 0.001 (0.004) Loss 1.7318 (1.6719) Prec@1 55.000 (55.275) Prec@5 83.125 (83.992) Epoch: [71][1350/11272] Time 0.859 (0.780) Data 0.002 (0.004) Loss 1.6312 (1.6719) Prec@1 58.750 (55.273) Prec@5 83.750 (83.993) Epoch: [71][1360/11272] Time 0.720 (0.780) Data 0.001 (0.004) Loss 2.0296 (1.6719) Prec@1 50.625 (55.291) Prec@5 77.500 (83.991) Epoch: [71][1370/11272] Time 0.738 (0.780) Data 0.001 (0.004) Loss 1.6934 (1.6719) Prec@1 55.000 (55.288) Prec@5 83.125 (83.993) Epoch: [71][1380/11272] Time 0.801 (0.780) Data 0.001 (0.004) Loss 1.8455 (1.6722) Prec@1 49.375 (55.278) Prec@5 83.750 (83.993) Epoch: [71][1390/11272] Time 0.818 (0.780) Data 0.001 (0.004) Loss 1.6324 (1.6724) Prec@1 57.500 (55.275) Prec@5 86.250 (83.985) Epoch: [71][1400/11272] Time 0.703 (0.780) Data 0.002 (0.004) Loss 1.6245 (1.6715) Prec@1 55.000 (55.287) Prec@5 83.750 (84.000) Epoch: [71][1410/11272] Time 0.710 (0.780) Data 0.001 (0.004) Loss 1.5844 (1.6713) Prec@1 60.000 (55.295) Prec@5 87.500 (84.005) Epoch: [71][1420/11272] Time 0.853 (0.780) Data 0.002 (0.004) Loss 1.7641 (1.6714) Prec@1 57.500 (55.287) Prec@5 78.750 (83.995) Epoch: [71][1430/11272] Time 0.844 (0.780) Data 0.002 (0.004) Loss 1.8735 (1.6714) Prec@1 51.250 (55.284) Prec@5 82.500 (83.997) Epoch: [71][1440/11272] Time 0.726 (0.780) Data 0.001 (0.004) Loss 1.5175 (1.6716) Prec@1 55.625 (55.277) Prec@5 88.750 (84.002) Epoch: [71][1450/11272] Time 0.826 (0.780) Data 0.001 (0.004) Loss 1.7162 (1.6714) Prec@1 55.000 (55.287) Prec@5 86.875 (84.010) Epoch: [71][1460/11272] Time 0.875 (0.780) Data 0.002 (0.004) Loss 1.5306 (1.6715) Prec@1 60.000 (55.293) Prec@5 87.500 (84.013) Epoch: [71][1470/11272] Time 0.732 (0.780) Data 0.002 (0.004) Loss 1.9031 (1.6716) Prec@1 51.250 (55.281) Prec@5 85.000 (84.017) Epoch: [71][1480/11272] Time 0.728 (0.780) Data 0.001 (0.004) Loss 1.6731 (1.6715) Prec@1 58.125 (55.277) Prec@5 84.375 (84.012) Epoch: [71][1490/11272] Time 0.843 (0.780) Data 0.002 (0.004) Loss 1.5570 (1.6711) Prec@1 56.875 (55.283) Prec@5 85.625 (84.021) Epoch: [71][1500/11272] Time 0.839 (0.780) Data 0.001 (0.004) Loss 1.6886 (1.6713) Prec@1 58.125 (55.273) Prec@5 79.375 (84.015) Epoch: [71][1510/11272] Time 0.712 (0.780) Data 0.001 (0.004) Loss 1.5726 (1.6711) Prec@1 58.750 (55.280) Prec@5 88.125 (84.019) Epoch: [71][1520/11272] Time 0.718 (0.780) Data 0.001 (0.004) Loss 1.5615 (1.6714) Prec@1 58.125 (55.274) Prec@5 83.750 (84.010) Epoch: [71][1530/11272] Time 0.847 (0.780) Data 0.002 (0.004) Loss 1.7915 (1.6717) Prec@1 50.000 (55.260) Prec@5 81.250 (84.003) Epoch: [71][1540/11272] Time 0.835 (0.780) Data 0.002 (0.004) Loss 1.5221 (1.6715) Prec@1 60.000 (55.260) Prec@5 84.375 (84.002) Epoch: [71][1550/11272] Time 0.733 (0.780) Data 0.001 (0.004) Loss 1.7784 (1.6718) Prec@1 55.625 (55.253) Prec@5 84.375 (83.995) Epoch: [71][1560/11272] Time 0.703 (0.780) Data 0.001 (0.004) Loss 1.4996 (1.6716) Prec@1 58.750 (55.252) Prec@5 89.375 (83.994) Epoch: [71][1570/11272] Time 0.846 (0.780) Data 0.002 (0.004) Loss 1.8723 (1.6714) Prec@1 49.375 (55.253) Prec@5 81.875 (83.999) Epoch: [71][1580/11272] Time 0.733 (0.780) Data 0.003 (0.004) Loss 1.6386 (1.6714) Prec@1 51.250 (55.248) Prec@5 86.250 (84.002) Epoch: [71][1590/11272] Time 0.720 (0.780) Data 0.001 (0.004) Loss 1.7377 (1.6714) Prec@1 53.750 (55.247) Prec@5 88.125 (84.006) Epoch: [71][1600/11272] Time 0.852 (0.780) Data 0.002 (0.004) Loss 1.5791 (1.6713) Prec@1 56.250 (55.251) Prec@5 83.125 (84.007) Epoch: [71][1610/11272] Time 0.845 (0.780) Data 0.002 (0.004) Loss 1.5990 (1.6712) Prec@1 58.750 (55.248) Prec@5 85.625 (84.006) Epoch: [71][1620/11272] Time 0.727 (0.780) Data 0.001 (0.004) Loss 1.6340 (1.6713) Prec@1 56.250 (55.241) Prec@5 85.625 (84.005) Epoch: [71][1630/11272] Time 0.706 (0.780) Data 0.001 (0.004) Loss 1.5269 (1.6713) Prec@1 56.875 (55.241) Prec@5 86.250 (83.997) Epoch: [71][1640/11272] Time 0.843 (0.780) Data 0.002 (0.004) Loss 1.6481 (1.6711) Prec@1 56.875 (55.239) Prec@5 85.000 (84.004) Epoch: [71][1650/11272] Time 0.834 (0.780) Data 0.002 (0.003) Loss 1.6525 (1.6710) Prec@1 57.500 (55.247) Prec@5 85.625 (84.003) Epoch: [71][1660/11272] Time 0.728 (0.780) Data 0.001 (0.003) Loss 1.6602 (1.6711) Prec@1 59.375 (55.250) Prec@5 87.500 (84.002) Epoch: [71][1670/11272] Time 0.732 (0.780) Data 0.002 (0.003) Loss 1.7825 (1.6717) Prec@1 52.500 (55.243) Prec@5 84.375 (83.989) Epoch: [71][1680/11272] Time 0.818 (0.780) Data 0.001 (0.003) Loss 1.4724 (1.6716) Prec@1 58.125 (55.257) Prec@5 88.750 (83.992) Epoch: [71][1690/11272] Time 0.829 (0.780) Data 0.001 (0.003) Loss 1.5952 (1.6717) Prec@1 53.750 (55.241) Prec@5 87.500 (83.993) Epoch: [71][1700/11272] Time 0.704 (0.780) Data 0.001 (0.003) Loss 1.7165 (1.6720) Prec@1 54.375 (55.243) Prec@5 80.000 (83.982) Epoch: [71][1710/11272] Time 0.878 (0.780) Data 0.001 (0.003) Loss 1.5005 (1.6718) Prec@1 57.500 (55.248) Prec@5 86.250 (83.978) Epoch: [71][1720/11272] Time 0.880 (0.780) Data 0.002 (0.003) Loss 1.8711 (1.6717) Prec@1 50.000 (55.242) Prec@5 80.000 (83.983) Epoch: [71][1730/11272] Time 0.726 (0.780) Data 0.001 (0.003) Loss 1.5960 (1.6720) Prec@1 58.125 (55.238) Prec@5 86.250 (83.974) Epoch: [71][1740/11272] Time 0.721 (0.780) Data 0.001 (0.003) Loss 1.5467 (1.6721) Prec@1 61.250 (55.241) Prec@5 85.625 (83.975) Epoch: [71][1750/11272] Time 0.839 (0.780) Data 0.002 (0.003) Loss 1.5677 (1.6719) Prec@1 57.500 (55.239) Prec@5 83.125 (83.977) Epoch: [71][1760/11272] Time 0.817 (0.780) Data 0.001 (0.003) Loss 1.6393 (1.6719) Prec@1 58.750 (55.242) Prec@5 82.500 (83.975) Epoch: [71][1770/11272] Time 0.705 (0.780) Data 0.001 (0.003) Loss 1.7847 (1.6720) Prec@1 53.125 (55.235) Prec@5 80.000 (83.971) Epoch: [71][1780/11272] Time 0.706 (0.780) Data 0.001 (0.003) Loss 1.6093 (1.6723) Prec@1 56.250 (55.229) Prec@5 85.000 (83.964) Epoch: [71][1790/11272] Time 0.859 (0.780) Data 0.002 (0.003) Loss 1.5913 (1.6724) Prec@1 55.000 (55.226) Prec@5 81.875 (83.958) Epoch: [71][1800/11272] Time 0.849 (0.780) Data 0.001 (0.003) Loss 1.7051 (1.6725) Prec@1 55.625 (55.220) Prec@5 83.125 (83.952) Epoch: [71][1810/11272] Time 0.695 (0.780) Data 0.001 (0.003) Loss 1.6652 (1.6724) Prec@1 56.250 (55.224) Prec@5 86.250 (83.954) Epoch: [71][1820/11272] Time 0.711 (0.780) Data 0.001 (0.003) Loss 1.8244 (1.6727) Prec@1 52.500 (55.219) Prec@5 79.375 (83.949) Epoch: [71][1830/11272] Time 0.874 (0.780) Data 0.002 (0.003) Loss 1.4877 (1.6727) Prec@1 57.500 (55.214) Prec@5 88.750 (83.944) Epoch: [71][1840/11272] Time 0.730 (0.780) Data 0.003 (0.003) Loss 1.5096 (1.6728) Prec@1 56.250 (55.214) Prec@5 87.500 (83.941) Epoch: [71][1850/11272] Time 0.719 (0.780) Data 0.001 (0.003) Loss 1.3681 (1.6728) Prec@1 63.750 (55.216) Prec@5 87.500 (83.940) Epoch: [71][1860/11272] Time 0.824 (0.780) Data 0.002 (0.003) Loss 1.7248 (1.6731) Prec@1 56.250 (55.213) Prec@5 83.125 (83.940) Epoch: [71][1870/11272] Time 0.832 (0.780) Data 0.002 (0.003) Loss 1.8640 (1.6731) Prec@1 51.250 (55.218) Prec@5 84.375 (83.943) Epoch: [71][1880/11272] Time 0.701 (0.780) Data 0.001 (0.003) Loss 1.7306 (1.6731) Prec@1 55.625 (55.218) Prec@5 81.875 (83.942) Epoch: [71][1890/11272] Time 0.737 (0.780) Data 0.001 (0.003) Loss 1.6846 (1.6729) Prec@1 55.000 (55.221) Prec@5 85.000 (83.942) Epoch: [71][1900/11272] Time 0.842 (0.780) Data 0.002 (0.003) Loss 1.7596 (1.6731) Prec@1 54.375 (55.213) Prec@5 80.625 (83.946) Epoch: [71][1910/11272] Time 0.836 (0.780) Data 0.002 (0.003) Loss 1.7558 (1.6730) Prec@1 56.250 (55.214) Prec@5 83.750 (83.948) Epoch: [71][1920/11272] Time 0.755 (0.780) Data 0.002 (0.003) Loss 1.4793 (1.6731) Prec@1 60.625 (55.208) Prec@5 88.125 (83.949) Epoch: [71][1930/11272] Time 0.714 (0.780) Data 0.001 (0.003) Loss 1.6834 (1.6733) Prec@1 55.000 (55.198) Prec@5 85.000 (83.950) Epoch: [71][1940/11272] Time 0.825 (0.780) Data 0.001 (0.003) Loss 1.4719 (1.6733) Prec@1 62.500 (55.205) Prec@5 83.125 (83.948) Epoch: [71][1950/11272] Time 0.830 (0.780) Data 0.001 (0.003) Loss 1.7060 (1.6733) Prec@1 56.250 (55.210) Prec@5 83.750 (83.945) Epoch: [71][1960/11272] Time 0.704 (0.780) Data 0.001 (0.003) Loss 1.6471 (1.6733) Prec@1 57.500 (55.208) Prec@5 85.625 (83.951) Epoch: [71][1970/11272] Time 0.820 (0.780) Data 0.001 (0.003) Loss 1.7662 (1.6732) Prec@1 55.625 (55.209) Prec@5 81.250 (83.954) Epoch: [71][1980/11272] Time 0.806 (0.780) Data 0.001 (0.003) Loss 1.6976 (1.6729) Prec@1 55.000 (55.213) Prec@5 78.750 (83.956) Epoch: [71][1990/11272] Time 0.736 (0.780) Data 0.002 (0.003) Loss 2.0023 (1.6729) Prec@1 48.125 (55.214) Prec@5 79.375 (83.955) Epoch: [71][2000/11272] Time 0.713 (0.780) Data 0.001 (0.003) Loss 1.6336 (1.6728) Prec@1 55.625 (55.216) Prec@5 86.875 (83.962) Epoch: [71][2010/11272] Time 0.836 (0.780) Data 0.001 (0.003) Loss 1.7039 (1.6729) Prec@1 55.625 (55.217) Prec@5 80.625 (83.961) Epoch: [71][2020/11272] Time 0.838 (0.780) Data 0.002 (0.003) Loss 1.5767 (1.6729) Prec@1 58.750 (55.220) Prec@5 85.000 (83.959) Epoch: [71][2030/11272] Time 0.743 (0.780) Data 0.002 (0.003) Loss 1.5701 (1.6725) Prec@1 57.500 (55.228) Prec@5 82.500 (83.965) Epoch: [71][2040/11272] Time 0.728 (0.780) Data 0.001 (0.003) Loss 1.6880 (1.6723) Prec@1 52.500 (55.229) Prec@5 83.125 (83.969) Epoch: [71][2050/11272] Time 0.823 (0.780) Data 0.001 (0.003) Loss 1.8278 (1.6725) Prec@1 51.875 (55.227) Prec@5 80.625 (83.970) Epoch: [71][2060/11272] Time 0.853 (0.780) Data 0.002 (0.003) Loss 1.6380 (1.6723) Prec@1 52.500 (55.230) Prec@5 85.000 (83.976) Epoch: [71][2070/11272] Time 0.712 (0.780) Data 0.001 (0.003) Loss 1.6978 (1.6727) Prec@1 59.375 (55.224) Prec@5 83.750 (83.971) Epoch: [71][2080/11272] Time 0.705 (0.780) Data 0.001 (0.003) Loss 1.5988 (1.6724) Prec@1 52.500 (55.229) Prec@5 85.625 (83.979) Epoch: [71][2090/11272] Time 0.839 (0.780) Data 0.001 (0.003) Loss 1.7291 (1.6723) Prec@1 55.000 (55.232) Prec@5 81.875 (83.982) Epoch: [71][2100/11272] Time 0.806 (0.780) Data 0.002 (0.003) Loss 1.8469 (1.6719) Prec@1 48.125 (55.237) Prec@5 80.625 (83.982) Epoch: [71][2110/11272] Time 0.737 (0.780) Data 0.002 (0.003) Loss 1.6167 (1.6718) Prec@1 57.500 (55.234) Prec@5 87.500 (83.989) Epoch: [71][2120/11272] Time 0.877 (0.780) Data 0.002 (0.003) Loss 1.4198 (1.6714) Prec@1 61.875 (55.246) Prec@5 91.875 (83.996) Epoch: [71][2130/11272] Time 0.840 (0.780) Data 0.002 (0.003) Loss 1.5701 (1.6713) Prec@1 59.375 (55.251) Prec@5 86.250 (83.999) Epoch: [71][2140/11272] Time 0.712 (0.780) Data 0.001 (0.003) Loss 1.9102 (1.6715) Prec@1 47.500 (55.245) Prec@5 78.750 (83.995) Epoch: [71][2150/11272] Time 0.713 (0.780) Data 0.001 (0.003) Loss 1.4659 (1.6711) Prec@1 60.625 (55.253) Prec@5 85.625 (84.004) Epoch: [71][2160/11272] Time 0.818 (0.780) Data 0.001 (0.003) Loss 1.5802 (1.6712) Prec@1 59.375 (55.256) Prec@5 83.125 (84.000) Epoch: [71][2170/11272] Time 0.804 (0.780) Data 0.001 (0.003) Loss 1.4202 (1.6712) Prec@1 62.500 (55.251) Prec@5 86.875 (84.001) Epoch: [71][2180/11272] Time 0.747 (0.780) Data 0.001 (0.003) Loss 1.6735 (1.6714) Prec@1 55.000 (55.237) Prec@5 83.125 (83.998) Epoch: [71][2190/11272] Time 0.711 (0.780) Data 0.001 (0.003) Loss 1.6383 (1.6712) Prec@1 53.750 (55.241) Prec@5 85.000 (84.000) Epoch: [71][2200/11272] Time 0.829 (0.780) Data 0.002 (0.003) Loss 1.8239 (1.6713) Prec@1 51.875 (55.236) Prec@5 78.750 (83.998) Epoch: [71][2210/11272] Time 0.846 (0.780) Data 0.001 (0.003) Loss 1.7933 (1.6714) Prec@1 52.500 (55.240) Prec@5 81.250 (83.995) Epoch: [71][2220/11272] Time 0.720 (0.780) Data 0.001 (0.003) Loss 1.6640 (1.6714) Prec@1 51.875 (55.243) Prec@5 82.500 (83.995) Epoch: [71][2230/11272] Time 0.726 (0.780) Data 0.001 (0.003) Loss 1.5469 (1.6710) Prec@1 58.750 (55.257) Prec@5 85.000 (84.003) Epoch: [71][2240/11272] Time 0.848 (0.780) Data 0.001 (0.003) Loss 1.4583 (1.6707) Prec@1 63.125 (55.260) Prec@5 86.250 (84.005) Epoch: [71][2250/11272] Time 0.722 (0.780) Data 0.001 (0.003) Loss 1.6168 (1.6703) Prec@1 58.750 (55.273) Prec@5 83.750 (84.011) Epoch: [71][2260/11272] Time 0.732 (0.780) Data 0.001 (0.003) Loss 1.7228 (1.6705) Prec@1 55.625 (55.270) Prec@5 83.750 (84.011) Epoch: [71][2270/11272] Time 0.813 (0.780) Data 0.001 (0.003) Loss 1.5315 (1.6706) Prec@1 55.625 (55.266) Prec@5 88.125 (84.011) Epoch: [71][2280/11272] Time 0.845 (0.780) Data 0.002 (0.003) Loss 1.7097 (1.6705) Prec@1 51.250 (55.266) Prec@5 84.375 (84.014) Epoch: [71][2290/11272] Time 0.708 (0.780) Data 0.001 (0.003) Loss 1.6645 (1.6702) Prec@1 57.500 (55.271) Prec@5 83.750 (84.017) Epoch: [71][2300/11272] Time 0.714 (0.780) Data 0.001 (0.003) Loss 1.6471 (1.6700) Prec@1 51.875 (55.276) Prec@5 84.375 (84.016) Epoch: [71][2310/11272] Time 0.830 (0.780) Data 0.002 (0.003) Loss 1.8466 (1.6702) Prec@1 53.750 (55.275) Prec@5 78.750 (84.015) Epoch: [71][2320/11272] Time 0.860 (0.780) Data 0.001 (0.003) Loss 1.6256 (1.6701) Prec@1 56.875 (55.281) Prec@5 85.625 (84.018) Epoch: [71][2330/11272] Time 0.710 (0.780) Data 0.001 (0.003) Loss 1.7900 (1.6699) Prec@1 46.875 (55.282) Prec@5 80.625 (84.018) Epoch: [71][2340/11272] Time 0.713 (0.780) Data 0.001 (0.003) Loss 1.6472 (1.6699) Prec@1 57.500 (55.281) Prec@5 86.250 (84.016) Epoch: [71][2350/11272] Time 0.815 (0.780) Data 0.001 (0.003) Loss 1.8026 (1.6704) Prec@1 54.375 (55.268) Prec@5 80.625 (84.007) Epoch: [71][2360/11272] Time 0.801 (0.780) Data 0.001 (0.003) Loss 1.5698 (1.6704) Prec@1 60.000 (55.270) Prec@5 85.625 (84.009) Epoch: [71][2370/11272] Time 0.723 (0.780) Data 0.001 (0.003) Loss 1.5692 (1.6701) Prec@1 55.625 (55.270) Prec@5 83.750 (84.014) Epoch: [71][2380/11272] Time 0.786 (0.780) Data 0.001 (0.003) Loss 1.6318 (1.6702) Prec@1 58.750 (55.274) Prec@5 84.375 (84.012) Epoch: [71][2390/11272] Time 0.900 (0.780) Data 0.002 (0.003) Loss 1.5767 (1.6700) Prec@1 58.125 (55.276) Prec@5 85.625 (84.016) Epoch: [71][2400/11272] Time 0.710 (0.780) Data 0.001 (0.003) Loss 1.7697 (1.6700) Prec@1 50.625 (55.271) Prec@5 80.000 (84.014) Epoch: [71][2410/11272] Time 0.714 (0.780) Data 0.001 (0.003) Loss 2.0351 (1.6702) Prec@1 45.000 (55.268) Prec@5 75.000 (84.006) Epoch: [71][2420/11272] Time 0.863 (0.780) Data 0.001 (0.003) Loss 1.7536 (1.6705) Prec@1 55.625 (55.266) Prec@5 81.250 (84.000) Epoch: [71][2430/11272] Time 0.849 (0.780) Data 0.002 (0.003) Loss 1.6878 (1.6709) Prec@1 58.125 (55.258) Prec@5 85.000 (83.991) Epoch: [71][2440/11272] Time 0.756 (0.780) Data 0.002 (0.003) Loss 1.7139 (1.6711) Prec@1 55.000 (55.252) Prec@5 82.500 (83.989) Epoch: [71][2450/11272] Time 0.716 (0.780) Data 0.001 (0.003) Loss 1.8497 (1.6711) Prec@1 46.875 (55.247) Prec@5 82.500 (83.990) Epoch: [71][2460/11272] Time 0.862 (0.780) Data 0.002 (0.003) Loss 1.7616 (1.6715) Prec@1 56.250 (55.236) Prec@5 84.375 (83.983) Epoch: [71][2470/11272] Time 0.876 (0.780) Data 0.002 (0.003) Loss 1.6235 (1.6715) Prec@1 55.000 (55.233) Prec@5 85.000 (83.984) Epoch: [71][2480/11272] Time 0.711 (0.780) Data 0.001 (0.003) Loss 1.5840 (1.6719) Prec@1 55.625 (55.229) Prec@5 86.875 (83.976) Epoch: [71][2490/11272] Time 0.763 (0.780) Data 0.001 (0.003) Loss 1.7715 (1.6717) Prec@1 55.000 (55.232) Prec@5 83.125 (83.978) Epoch: [71][2500/11272] Time 0.841 (0.780) Data 0.002 (0.003) Loss 1.6955 (1.6717) Prec@1 53.125 (55.232) Prec@5 82.500 (83.980) Epoch: [71][2510/11272] Time 0.734 (0.780) Data 0.004 (0.003) Loss 1.4080 (1.6719) Prec@1 56.875 (55.220) Prec@5 88.750 (83.980) Epoch: [71][2520/11272] Time 0.736 (0.780) Data 0.001 (0.003) Loss 1.7997 (1.6720) Prec@1 60.000 (55.221) Prec@5 80.625 (83.977) Epoch: [71][2530/11272] Time 0.814 (0.780) Data 0.001 (0.003) Loss 1.7901 (1.6721) Prec@1 52.500 (55.219) Prec@5 81.875 (83.973) Epoch: [71][2540/11272] Time 0.822 (0.780) Data 0.002 (0.003) Loss 1.9385 (1.6721) Prec@1 53.125 (55.223) Prec@5 81.250 (83.975) Epoch: [71][2550/11272] Time 0.711 (0.780) Data 0.002 (0.003) Loss 1.6168 (1.6720) Prec@1 57.500 (55.228) Prec@5 83.750 (83.975) Epoch: [71][2560/11272] Time 0.734 (0.780) Data 0.001 (0.003) Loss 1.5315 (1.6718) Prec@1 60.625 (55.235) Prec@5 85.625 (83.978) Epoch: [71][2570/11272] Time 0.817 (0.780) Data 0.002 (0.003) Loss 1.5850 (1.6717) Prec@1 58.125 (55.238) Prec@5 84.375 (83.977) Epoch: [71][2580/11272] Time 0.824 (0.780) Data 0.002 (0.003) Loss 1.6573 (1.6717) Prec@1 55.625 (55.237) Prec@5 80.000 (83.975) Epoch: [71][2590/11272] Time 0.710 (0.780) Data 0.001 (0.003) Loss 1.6870 (1.6719) Prec@1 56.875 (55.240) Prec@5 81.875 (83.971) Epoch: [71][2600/11272] Time 0.736 (0.780) Data 0.002 (0.003) Loss 1.4264 (1.6717) Prec@1 61.250 (55.242) Prec@5 86.875 (83.976) Epoch: [71][2610/11272] Time 0.837 (0.780) Data 0.002 (0.003) Loss 1.7253 (1.6717) Prec@1 52.500 (55.241) Prec@5 83.750 (83.976) Epoch: [71][2620/11272] Time 0.803 (0.780) Data 0.001 (0.003) Loss 1.5218 (1.6717) Prec@1 63.125 (55.243) Prec@5 87.500 (83.976) Epoch: [71][2630/11272] Time 0.737 (0.780) Data 0.002 (0.003) Loss 1.8575 (1.6718) Prec@1 45.625 (55.237) Prec@5 83.750 (83.974) Epoch: [71][2640/11272] Time 0.809 (0.780) Data 0.001 (0.003) Loss 1.6754 (1.6718) Prec@1 58.750 (55.241) Prec@5 82.500 (83.976) Epoch: [71][2650/11272] Time 0.869 (0.780) Data 0.001 (0.003) Loss 1.5313 (1.6720) Prec@1 57.500 (55.243) Prec@5 88.750 (83.972) Epoch: [71][2660/11272] Time 0.723 (0.780) Data 0.001 (0.003) Loss 1.6359 (1.6719) Prec@1 55.625 (55.245) Prec@5 85.000 (83.969) Epoch: [71][2670/11272] Time 0.714 (0.780) Data 0.002 (0.003) Loss 1.5980 (1.6722) Prec@1 60.625 (55.242) Prec@5 85.000 (83.969) Epoch: [71][2680/11272] Time 0.841 (0.780) Data 0.002 (0.003) Loss 1.5264 (1.6718) Prec@1 57.500 (55.249) Prec@5 85.625 (83.975) Epoch: [71][2690/11272] Time 0.796 (0.780) Data 0.001 (0.003) Loss 1.8020 (1.6718) Prec@1 55.625 (55.249) Prec@5 81.250 (83.971) Epoch: [71][2700/11272] Time 0.707 (0.779) Data 0.001 (0.003) Loss 1.8499 (1.6722) Prec@1 53.125 (55.244) Prec@5 81.875 (83.963) Epoch: [71][2710/11272] Time 0.725 (0.779) Data 0.001 (0.003) Loss 1.6411 (1.6725) Prec@1 53.125 (55.238) Prec@5 83.750 (83.959) Epoch: [71][2720/11272] Time 0.841 (0.779) Data 0.002 (0.003) Loss 1.9088 (1.6726) Prec@1 50.000 (55.238) Prec@5 81.250 (83.957) Epoch: [71][2730/11272] Time 0.829 (0.779) Data 0.001 (0.003) Loss 1.6374 (1.6727) Prec@1 56.250 (55.239) Prec@5 84.375 (83.958) Epoch: [71][2740/11272] Time 0.707 (0.779) Data 0.001 (0.003) Loss 1.5534 (1.6729) Prec@1 56.875 (55.231) Prec@5 86.250 (83.954) Epoch: [71][2750/11272] Time 0.724 (0.779) Data 0.002 (0.003) Loss 1.8250 (1.6730) Prec@1 50.625 (55.224) Prec@5 81.250 (83.953) Epoch: [71][2760/11272] Time 0.852 (0.779) Data 0.002 (0.003) Loss 1.6933 (1.6733) Prec@1 51.250 (55.213) Prec@5 81.875 (83.950) Epoch: [71][2770/11272] Time 0.729 (0.779) Data 0.003 (0.003) Loss 1.6092 (1.6733) Prec@1 56.250 (55.212) Prec@5 85.000 (83.950) Epoch: [71][2780/11272] Time 0.708 (0.779) Data 0.001 (0.003) Loss 1.4923 (1.6732) Prec@1 61.250 (55.214) Prec@5 86.875 (83.950) Epoch: [71][2790/11272] Time 0.835 (0.779) Data 0.001 (0.003) Loss 1.8369 (1.6733) Prec@1 55.000 (55.215) Prec@5 81.875 (83.949) Epoch: [71][2800/11272] Time 0.831 (0.779) Data 0.002 (0.003) Loss 1.7792 (1.6734) Prec@1 53.750 (55.215) Prec@5 83.750 (83.944) Epoch: [71][2810/11272] Time 0.715 (0.779) Data 0.001 (0.003) Loss 1.9129 (1.6737) Prec@1 52.500 (55.210) Prec@5 78.750 (83.940) Epoch: [71][2820/11272] Time 0.736 (0.779) Data 0.001 (0.003) Loss 1.6046 (1.6737) Prec@1 60.000 (55.212) Prec@5 82.500 (83.937) Epoch: [71][2830/11272] Time 0.819 (0.779) Data 0.002 (0.003) Loss 1.4521 (1.6736) Prec@1 51.875 (55.209) Prec@5 88.750 (83.939) Epoch: [71][2840/11272] Time 0.841 (0.779) Data 0.002 (0.003) Loss 1.7851 (1.6738) Prec@1 55.000 (55.208) Prec@5 81.250 (83.933) Epoch: [71][2850/11272] Time 0.706 (0.779) Data 0.001 (0.003) Loss 1.5326 (1.6736) Prec@1 57.500 (55.210) Prec@5 85.625 (83.935) Epoch: [71][2860/11272] Time 0.732 (0.779) Data 0.001 (0.003) Loss 1.7155 (1.6735) Prec@1 51.875 (55.216) Prec@5 85.000 (83.937) Epoch: [71][2870/11272] Time 0.842 (0.779) Data 0.002 (0.003) Loss 1.6416 (1.6735) Prec@1 55.000 (55.211) Prec@5 83.750 (83.935) Epoch: [71][2880/11272] Time 0.805 (0.779) Data 0.001 (0.003) Loss 1.6943 (1.6737) Prec@1 55.000 (55.208) Prec@5 83.750 (83.930) Epoch: [71][2890/11272] Time 0.715 (0.779) Data 0.001 (0.003) Loss 1.5400 (1.6736) Prec@1 60.625 (55.212) Prec@5 85.000 (83.932) Epoch: [71][2900/11272] Time 0.811 (0.779) Data 0.001 (0.003) Loss 1.6862 (1.6735) Prec@1 55.625 (55.218) Prec@5 83.750 (83.928) Epoch: [71][2910/11272] Time 0.811 (0.779) Data 0.001 (0.003) Loss 1.6554 (1.6739) Prec@1 55.000 (55.213) Prec@5 81.875 (83.919) Epoch: [71][2920/11272] Time 0.711 (0.779) Data 0.001 (0.003) Loss 1.5930 (1.6737) Prec@1 56.875 (55.218) Prec@5 83.750 (83.924) Epoch: [71][2930/11272] Time 0.714 (0.779) Data 0.001 (0.003) Loss 1.6452 (1.6737) Prec@1 58.125 (55.218) Prec@5 83.750 (83.922) Epoch: [71][2940/11272] Time 0.814 (0.779) Data 0.001 (0.003) Loss 1.4715 (1.6735) Prec@1 58.750 (55.223) Prec@5 88.750 (83.927) Epoch: [71][2950/11272] Time 0.842 (0.779) Data 0.002 (0.003) Loss 1.4901 (1.6733) Prec@1 61.875 (55.232) Prec@5 88.750 (83.933) Epoch: [71][2960/11272] Time 0.710 (0.779) Data 0.001 (0.003) Loss 1.4361 (1.6730) Prec@1 61.875 (55.237) Prec@5 91.250 (83.940) Epoch: [71][2970/11272] Time 0.713 (0.779) Data 0.001 (0.003) Loss 1.7018 (1.6731) Prec@1 55.625 (55.237) Prec@5 81.875 (83.937) Epoch: [71][2980/11272] Time 0.850 (0.779) Data 0.002 (0.003) Loss 1.7130 (1.6732) Prec@1 56.250 (55.234) Prec@5 83.750 (83.935) Epoch: [71][2990/11272] Time 0.804 (0.779) Data 0.001 (0.003) Loss 1.5507 (1.6730) Prec@1 53.750 (55.238) Prec@5 85.000 (83.936) Epoch: [71][3000/11272] Time 0.713 (0.779) Data 0.001 (0.003) Loss 1.7374 (1.6731) Prec@1 53.125 (55.237) Prec@5 83.750 (83.935) Epoch: [71][3010/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.8097 (1.6730) Prec@1 50.625 (55.234) Prec@5 83.125 (83.941) Epoch: [71][3020/11272] Time 0.823 (0.779) Data 0.001 (0.003) Loss 1.8116 (1.6731) Prec@1 51.875 (55.229) Prec@5 81.250 (83.942) Epoch: [71][3030/11272] Time 0.813 (0.779) Data 0.001 (0.003) Loss 1.4980 (1.6731) Prec@1 60.000 (55.231) Prec@5 86.250 (83.942) Epoch: [71][3040/11272] Time 0.716 (0.779) Data 0.001 (0.003) Loss 1.6625 (1.6731) Prec@1 56.250 (55.229) Prec@5 85.625 (83.943) Epoch: [71][3050/11272] Time 0.847 (0.779) Data 0.002 (0.003) Loss 1.5917 (1.6732) Prec@1 56.250 (55.230) Prec@5 86.250 (83.940) Epoch: [71][3060/11272] Time 0.835 (0.779) Data 0.002 (0.003) Loss 1.7038 (1.6732) Prec@1 53.750 (55.228) Prec@5 86.250 (83.937) Epoch: [71][3070/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.6943 (1.6732) Prec@1 56.250 (55.231) Prec@5 84.375 (83.940) Epoch: [71][3080/11272] Time 0.745 (0.779) Data 0.002 (0.003) Loss 1.8139 (1.6732) Prec@1 53.750 (55.229) Prec@5 78.125 (83.941) Epoch: [71][3090/11272] Time 0.871 (0.779) Data 0.002 (0.003) Loss 1.8430 (1.6734) Prec@1 55.000 (55.223) Prec@5 81.250 (83.938) Epoch: [71][3100/11272] Time 0.801 (0.779) Data 0.001 (0.003) Loss 1.4978 (1.6735) Prec@1 55.000 (55.223) Prec@5 86.875 (83.936) Epoch: [71][3110/11272] Time 0.715 (0.779) Data 0.002 (0.003) Loss 1.7014 (1.6735) Prec@1 57.500 (55.224) Prec@5 80.625 (83.933) Epoch: [71][3120/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.4081 (1.6734) Prec@1 61.875 (55.231) Prec@5 90.625 (83.936) Epoch: [71][3130/11272] Time 0.859 (0.779) Data 0.001 (0.003) Loss 1.7516 (1.6732) Prec@1 53.125 (55.239) Prec@5 79.375 (83.935) Epoch: [71][3140/11272] Time 0.825 (0.779) Data 0.001 (0.003) Loss 1.6438 (1.6733) Prec@1 58.125 (55.234) Prec@5 84.375 (83.935) Epoch: [71][3150/11272] Time 0.718 (0.779) Data 0.001 (0.003) Loss 1.8506 (1.6734) Prec@1 52.500 (55.232) Prec@5 80.625 (83.933) Epoch: [71][3160/11272] Time 0.732 (0.779) Data 0.001 (0.003) Loss 1.5260 (1.6734) Prec@1 58.750 (55.229) Prec@5 89.375 (83.936) Epoch: [71][3170/11272] Time 0.818 (0.779) Data 0.002 (0.003) Loss 1.5150 (1.6733) Prec@1 56.875 (55.231) Prec@5 87.500 (83.939) Epoch: [71][3180/11272] Time 0.723 (0.779) Data 0.001 (0.003) Loss 1.6221 (1.6733) Prec@1 61.250 (55.233) Prec@5 81.250 (83.939) Epoch: [71][3190/11272] Time 0.727 (0.779) Data 0.001 (0.003) Loss 1.7998 (1.6732) Prec@1 48.750 (55.232) Prec@5 81.875 (83.942) Epoch: [71][3200/11272] Time 0.830 (0.779) Data 0.002 (0.003) Loss 1.7178 (1.6733) Prec@1 56.875 (55.232) Prec@5 81.250 (83.938) Epoch: [71][3210/11272] Time 0.827 (0.779) Data 0.002 (0.003) Loss 1.6125 (1.6734) Prec@1 58.125 (55.230) Prec@5 85.625 (83.939) Epoch: [71][3220/11272] Time 0.736 (0.779) Data 0.001 (0.003) Loss 1.8349 (1.6736) Prec@1 51.875 (55.228) Prec@5 82.500 (83.938) Epoch: [71][3230/11272] Time 0.710 (0.779) Data 0.001 (0.003) Loss 1.6355 (1.6736) Prec@1 51.250 (55.227) Prec@5 86.250 (83.938) Epoch: [71][3240/11272] Time 0.836 (0.779) Data 0.002 (0.003) Loss 1.5862 (1.6735) Prec@1 58.125 (55.226) Prec@5 82.500 (83.940) Epoch: [71][3250/11272] Time 0.874 (0.779) Data 0.002 (0.003) Loss 1.7533 (1.6734) Prec@1 54.375 (55.228) Prec@5 83.750 (83.938) Epoch: [71][3260/11272] Time 0.715 (0.779) Data 0.001 (0.003) Loss 1.5947 (1.6733) Prec@1 56.250 (55.227) Prec@5 85.000 (83.943) Epoch: [71][3270/11272] Time 0.741 (0.779) Data 0.002 (0.003) Loss 1.8616 (1.6735) Prec@1 51.875 (55.230) Prec@5 79.375 (83.939) Epoch: [71][3280/11272] Time 0.818 (0.779) Data 0.001 (0.003) Loss 1.6694 (1.6735) Prec@1 55.000 (55.231) Prec@5 85.000 (83.940) Epoch: [71][3290/11272] Time 0.827 (0.779) Data 0.001 (0.002) Loss 1.7813 (1.6735) Prec@1 53.125 (55.228) Prec@5 81.875 (83.939) Epoch: [71][3300/11272] Time 0.720 (0.779) Data 0.001 (0.002) Loss 1.6820 (1.6735) Prec@1 58.750 (55.230) Prec@5 83.750 (83.939) Epoch: [71][3310/11272] Time 0.878 (0.779) Data 0.002 (0.002) Loss 1.7288 (1.6736) Prec@1 50.625 (55.229) Prec@5 84.375 (83.937) Epoch: [71][3320/11272] Time 0.804 (0.779) Data 0.001 (0.002) Loss 1.6343 (1.6734) Prec@1 56.875 (55.233) Prec@5 84.375 (83.942) Epoch: [71][3330/11272] Time 0.730 (0.779) Data 0.002 (0.002) Loss 1.6762 (1.6735) Prec@1 54.375 (55.233) Prec@5 81.875 (83.941) Epoch: [71][3340/11272] Time 0.714 (0.779) Data 0.001 (0.002) Loss 1.9032 (1.6735) Prec@1 53.750 (55.230) Prec@5 79.375 (83.939) Epoch: [71][3350/11272] Time 0.846 (0.779) Data 0.002 (0.002) Loss 1.7789 (1.6735) Prec@1 57.500 (55.225) Prec@5 82.500 (83.937) Epoch: [71][3360/11272] Time 0.832 (0.779) Data 0.002 (0.002) Loss 1.6903 (1.6736) Prec@1 56.250 (55.224) Prec@5 85.000 (83.939) Epoch: [71][3370/11272] Time 0.699 (0.779) Data 0.001 (0.002) Loss 1.6012 (1.6736) Prec@1 59.375 (55.232) Prec@5 81.875 (83.940) Epoch: [71][3380/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.7324 (1.6736) Prec@1 50.000 (55.232) Prec@5 84.375 (83.941) Epoch: [71][3390/11272] Time 0.836 (0.779) Data 0.002 (0.002) Loss 1.6659 (1.6735) Prec@1 56.250 (55.234) Prec@5 86.250 (83.943) Epoch: [71][3400/11272] Time 0.867 (0.779) Data 0.002 (0.002) Loss 1.7290 (1.6735) Prec@1 50.625 (55.238) Prec@5 84.375 (83.941) Epoch: [71][3410/11272] Time 0.771 (0.779) Data 0.001 (0.002) Loss 1.7478 (1.6740) Prec@1 55.000 (55.227) Prec@5 83.750 (83.935) Epoch: [71][3420/11272] Time 0.741 (0.779) Data 0.001 (0.002) Loss 1.6029 (1.6740) Prec@1 56.875 (55.227) Prec@5 87.500 (83.937) Epoch: [71][3430/11272] Time 0.873 (0.779) Data 0.002 (0.002) Loss 1.7675 (1.6741) Prec@1 55.000 (55.224) Prec@5 80.000 (83.936) Epoch: [71][3440/11272] Time 0.740 (0.779) Data 0.003 (0.002) Loss 1.5184 (1.6742) Prec@1 59.375 (55.225) Prec@5 87.500 (83.936) Epoch: [71][3450/11272] Time 0.724 (0.779) Data 0.001 (0.002) Loss 1.7954 (1.6743) Prec@1 54.375 (55.225) Prec@5 78.750 (83.935) Epoch: [71][3460/11272] Time 0.849 (0.779) Data 0.002 (0.002) Loss 1.6952 (1.6741) Prec@1 51.875 (55.229) Prec@5 83.125 (83.934) Epoch: [71][3470/11272] Time 0.831 (0.779) Data 0.002 (0.002) Loss 1.7512 (1.6742) Prec@1 53.750 (55.225) Prec@5 85.000 (83.934) Epoch: [71][3480/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.6974 (1.6742) Prec@1 55.000 (55.228) Prec@5 85.625 (83.933) Epoch: [71][3490/11272] Time 0.706 (0.779) Data 0.001 (0.002) Loss 1.6523 (1.6744) Prec@1 56.250 (55.225) Prec@5 85.000 (83.931) Epoch: [71][3500/11272] Time 0.860 (0.779) Data 0.002 (0.002) Loss 1.5813 (1.6745) Prec@1 51.250 (55.220) Prec@5 89.375 (83.930) Epoch: [71][3510/11272] Time 0.829 (0.779) Data 0.002 (0.002) Loss 1.5809 (1.6743) Prec@1 55.625 (55.227) Prec@5 81.875 (83.934) Epoch: [71][3520/11272] Time 0.702 (0.779) Data 0.001 (0.002) Loss 1.6087 (1.6743) Prec@1 57.500 (55.225) Prec@5 86.875 (83.934) Epoch: [71][3530/11272] Time 0.706 (0.779) Data 0.001 (0.002) Loss 1.7661 (1.6743) Prec@1 53.750 (55.227) Prec@5 84.375 (83.935) Epoch: [71][3540/11272] Time 0.839 (0.779) Data 0.001 (0.002) Loss 1.4919 (1.6742) Prec@1 56.250 (55.231) Prec@5 88.750 (83.941) Epoch: [71][3550/11272] Time 0.807 (0.779) Data 0.001 (0.002) Loss 1.6819 (1.6741) Prec@1 50.625 (55.229) Prec@5 84.375 (83.944) Epoch: [71][3560/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.8854 (1.6742) Prec@1 47.500 (55.226) Prec@5 80.625 (83.944) Epoch: [71][3570/11272] Time 0.793 (0.779) Data 0.001 (0.002) Loss 1.5384 (1.6742) Prec@1 56.250 (55.225) Prec@5 86.875 (83.944) Epoch: [71][3580/11272] Time 0.814 (0.779) Data 0.001 (0.002) Loss 1.8111 (1.6742) Prec@1 53.125 (55.226) Prec@5 80.000 (83.944) Epoch: [71][3590/11272] Time 0.733 (0.779) Data 0.001 (0.002) Loss 1.6813 (1.6742) Prec@1 58.750 (55.225) Prec@5 85.000 (83.945) Epoch: [71][3600/11272] Time 0.709 (0.779) Data 0.001 (0.002) Loss 1.7425 (1.6741) Prec@1 59.375 (55.230) Prec@5 83.750 (83.949) Epoch: [71][3610/11272] Time 0.818 (0.779) Data 0.002 (0.002) Loss 1.5962 (1.6743) Prec@1 56.250 (55.226) Prec@5 88.750 (83.943) Epoch: [71][3620/11272] Time 0.837 (0.779) Data 0.002 (0.002) Loss 1.7600 (1.6744) Prec@1 58.750 (55.226) Prec@5 80.625 (83.939) Epoch: [71][3630/11272] Time 0.728 (0.779) Data 0.002 (0.002) Loss 1.4753 (1.6744) Prec@1 60.625 (55.221) Prec@5 82.500 (83.939) Epoch: [71][3640/11272] Time 0.721 (0.779) Data 0.001 (0.002) Loss 1.6408 (1.6744) Prec@1 56.875 (55.223) Prec@5 83.750 (83.942) Epoch: [71][3650/11272] Time 0.861 (0.779) Data 0.002 (0.002) Loss 1.5891 (1.6745) Prec@1 55.625 (55.217) Prec@5 86.250 (83.942) Epoch: [71][3660/11272] Time 0.807 (0.779) Data 0.001 (0.002) Loss 1.4144 (1.6744) Prec@1 63.750 (55.224) Prec@5 86.250 (83.944) Epoch: [71][3670/11272] Time 0.704 (0.779) Data 0.001 (0.002) Loss 1.8849 (1.6745) Prec@1 46.875 (55.224) Prec@5 82.500 (83.941) Epoch: [71][3680/11272] Time 0.739 (0.779) Data 0.001 (0.002) Loss 1.4170 (1.6746) Prec@1 61.250 (55.223) Prec@5 88.125 (83.939) Epoch: [71][3690/11272] Time 0.856 (0.779) Data 0.002 (0.002) Loss 1.7074 (1.6747) Prec@1 53.125 (55.218) Prec@5 83.750 (83.938) Epoch: [71][3700/11272] Time 0.735 (0.779) Data 0.003 (0.002) Loss 1.6971 (1.6748) Prec@1 54.375 (55.217) Prec@5 84.375 (83.936) Epoch: [71][3710/11272] Time 0.703 (0.779) Data 0.001 (0.002) Loss 1.9099 (1.6749) Prec@1 51.875 (55.215) Prec@5 76.875 (83.935) Epoch: [71][3720/11272] Time 0.848 (0.779) Data 0.002 (0.002) Loss 1.5967 (1.6748) Prec@1 61.250 (55.219) Prec@5 85.000 (83.934) Epoch: [71][3730/11272] Time 0.834 (0.779) Data 0.002 (0.002) Loss 1.7432 (1.6749) Prec@1 56.875 (55.213) Prec@5 83.125 (83.931) Epoch: [71][3740/11272] Time 0.718 (0.779) Data 0.001 (0.002) Loss 1.5418 (1.6748) Prec@1 60.625 (55.213) Prec@5 89.375 (83.934) Epoch: [71][3750/11272] Time 0.706 (0.779) Data 0.001 (0.002) Loss 1.6034 (1.6747) Prec@1 56.875 (55.218) Prec@5 82.500 (83.934) Epoch: [71][3760/11272] Time 0.821 (0.779) Data 0.001 (0.002) Loss 1.4853 (1.6746) Prec@1 62.500 (55.223) Prec@5 87.500 (83.935) Epoch: [71][3770/11272] Time 0.843 (0.779) Data 0.002 (0.002) Loss 1.8150 (1.6746) Prec@1 55.000 (55.226) Prec@5 82.500 (83.933) Epoch: [71][3780/11272] Time 0.733 (0.779) Data 0.002 (0.002) Loss 1.5854 (1.6744) Prec@1 56.250 (55.231) Prec@5 83.125 (83.935) Epoch: [71][3790/11272] Time 0.717 (0.779) Data 0.001 (0.002) Loss 1.6673 (1.6743) Prec@1 60.000 (55.236) Prec@5 85.000 (83.939) Epoch: [71][3800/11272] Time 0.854 (0.779) Data 0.002 (0.002) Loss 1.8047 (1.6743) Prec@1 48.125 (55.236) Prec@5 85.000 (83.940) Epoch: [71][3810/11272] Time 0.844 (0.779) Data 0.001 (0.002) Loss 1.6565 (1.6744) Prec@1 56.875 (55.237) Prec@5 85.000 (83.938) Epoch: [71][3820/11272] Time 0.747 (0.779) Data 0.002 (0.002) Loss 1.8759 (1.6745) Prec@1 58.125 (55.239) Prec@5 81.875 (83.936) Epoch: [71][3830/11272] Time 0.866 (0.779) Data 0.001 (0.002) Loss 1.9241 (1.6747) Prec@1 49.375 (55.235) Prec@5 83.125 (83.935) Epoch: [71][3840/11272] Time 0.868 (0.779) Data 0.002 (0.002) Loss 1.5998 (1.6744) Prec@1 60.000 (55.238) Prec@5 88.125 (83.939) Epoch: [71][3850/11272] Time 0.726 (0.779) Data 0.001 (0.002) Loss 1.6439 (1.6744) Prec@1 57.500 (55.239) Prec@5 83.750 (83.941) Epoch: [71][3860/11272] Time 0.760 (0.779) Data 0.002 (0.002) Loss 1.6694 (1.6743) Prec@1 55.000 (55.241) Prec@5 86.875 (83.943) Epoch: [71][3870/11272] Time 0.818 (0.779) Data 0.001 (0.002) Loss 1.7099 (1.6744) Prec@1 60.625 (55.239) Prec@5 83.125 (83.943) Epoch: [71][3880/11272] Time 0.851 (0.779) Data 0.001 (0.002) Loss 1.7521 (1.6745) Prec@1 55.000 (55.238) Prec@5 80.625 (83.940) Epoch: [71][3890/11272] Time 0.702 (0.779) Data 0.001 (0.002) Loss 1.7124 (1.6744) Prec@1 53.750 (55.240) Prec@5 84.375 (83.944) Epoch: [71][3900/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.4209 (1.6742) Prec@1 61.875 (55.244) Prec@5 85.625 (83.944) Epoch: [71][3910/11272] Time 0.833 (0.779) Data 0.001 (0.002) Loss 1.6929 (1.6742) Prec@1 51.250 (55.241) Prec@5 84.375 (83.945) Epoch: [71][3920/11272] Time 0.866 (0.779) Data 0.002 (0.002) Loss 1.4428 (1.6741) Prec@1 61.250 (55.247) Prec@5 85.625 (83.948) Epoch: [71][3930/11272] Time 0.742 (0.779) Data 0.002 (0.002) Loss 1.8206 (1.6740) Prec@1 53.750 (55.251) Prec@5 80.625 (83.947) Epoch: [71][3940/11272] Time 0.712 (0.779) Data 0.001 (0.002) Loss 1.6273 (1.6741) Prec@1 54.375 (55.248) Prec@5 82.500 (83.947) Epoch: [71][3950/11272] Time 0.832 (0.779) Data 0.002 (0.002) Loss 1.8482 (1.6742) Prec@1 50.625 (55.247) Prec@5 77.500 (83.944) Epoch: [71][3960/11272] Time 0.790 (0.779) Data 0.001 (0.002) Loss 1.6679 (1.6741) Prec@1 56.250 (55.253) Prec@5 84.375 (83.946) Epoch: [71][3970/11272] Time 0.709 (0.779) Data 0.001 (0.002) Loss 1.6320 (1.6741) Prec@1 53.750 (55.252) Prec@5 85.000 (83.945) Epoch: [71][3980/11272] Time 0.826 (0.779) Data 0.002 (0.002) Loss 1.6174 (1.6740) Prec@1 56.875 (55.255) Prec@5 81.875 (83.945) Epoch: [71][3990/11272] Time 0.810 (0.779) Data 0.001 (0.002) Loss 1.7745 (1.6740) Prec@1 57.500 (55.257) Prec@5 81.250 (83.945) Epoch: [71][4000/11272] Time 0.697 (0.779) Data 0.001 (0.002) Loss 1.6204 (1.6740) Prec@1 53.750 (55.255) Prec@5 85.625 (83.946) Epoch: [71][4010/11272] Time 0.706 (0.779) Data 0.001 (0.002) Loss 1.8135 (1.6741) Prec@1 53.750 (55.253) Prec@5 79.375 (83.943) Epoch: [71][4020/11272] Time 0.863 (0.779) Data 0.002 (0.002) Loss 1.7140 (1.6741) Prec@1 52.500 (55.250) Prec@5 86.250 (83.944) Epoch: [71][4030/11272] Time 0.857 (0.779) Data 0.003 (0.002) Loss 1.6645 (1.6742) Prec@1 55.000 (55.247) Prec@5 81.875 (83.942) Epoch: [71][4040/11272] Time 0.709 (0.779) Data 0.001 (0.002) Loss 1.7453 (1.6741) Prec@1 50.000 (55.249) Prec@5 82.500 (83.944) Epoch: [71][4050/11272] Time 0.729 (0.779) Data 0.001 (0.002) Loss 1.8542 (1.6741) Prec@1 56.250 (55.252) Prec@5 76.875 (83.943) Epoch: [71][4060/11272] Time 0.859 (0.779) Data 0.001 (0.002) Loss 1.7130 (1.6742) Prec@1 54.375 (55.248) Prec@5 83.750 (83.941) Epoch: [71][4070/11272] Time 0.849 (0.779) Data 0.002 (0.002) Loss 1.6782 (1.6742) Prec@1 51.875 (55.252) Prec@5 83.750 (83.938) Epoch: [71][4080/11272] Time 0.767 (0.779) Data 0.001 (0.002) Loss 1.6231 (1.6742) Prec@1 55.625 (55.253) Prec@5 85.625 (83.939) Epoch: [71][4090/11272] Time 0.734 (0.779) Data 0.002 (0.002) Loss 1.7889 (1.6741) Prec@1 51.875 (55.256) Prec@5 81.250 (83.939) Epoch: [71][4100/11272] Time 0.842 (0.779) Data 0.002 (0.002) Loss 1.5687 (1.6741) Prec@1 56.250 (55.256) Prec@5 86.875 (83.939) Epoch: [71][4110/11272] Time 0.761 (0.779) Data 0.002 (0.002) Loss 1.6230 (1.6742) Prec@1 60.000 (55.258) Prec@5 84.375 (83.937) Epoch: [71][4120/11272] Time 0.725 (0.779) Data 0.002 (0.002) Loss 1.7393 (1.6742) Prec@1 52.500 (55.260) Prec@5 85.000 (83.933) Epoch: [71][4130/11272] Time 0.857 (0.779) Data 0.002 (0.002) Loss 1.4624 (1.6741) Prec@1 58.750 (55.263) Prec@5 88.125 (83.935) Epoch: [71][4140/11272] Time 0.850 (0.779) Data 0.002 (0.002) Loss 1.5705 (1.6742) Prec@1 62.500 (55.261) Prec@5 85.000 (83.933) Epoch: [71][4150/11272] Time 0.738 (0.779) Data 0.002 (0.002) Loss 1.8122 (1.6742) Prec@1 51.250 (55.261) Prec@5 80.000 (83.931) Epoch: [71][4160/11272] Time 0.741 (0.779) Data 0.001 (0.002) Loss 1.5800 (1.6742) Prec@1 61.875 (55.263) Prec@5 84.375 (83.932) Epoch: [71][4170/11272] Time 0.918 (0.779) Data 0.002 (0.002) Loss 1.6947 (1.6741) Prec@1 51.875 (55.260) Prec@5 85.625 (83.935) Epoch: [71][4180/11272] Time 0.850 (0.779) Data 0.002 (0.002) Loss 1.6364 (1.6741) Prec@1 55.625 (55.260) Prec@5 85.625 (83.934) Epoch: [71][4190/11272] Time 0.702 (0.779) Data 0.001 (0.002) Loss 1.8411 (1.6742) Prec@1 52.500 (55.258) Prec@5 81.250 (83.933) Epoch: [71][4200/11272] Time 0.741 (0.779) Data 0.002 (0.002) Loss 1.5308 (1.6743) Prec@1 58.750 (55.257) Prec@5 84.375 (83.933) Epoch: [71][4210/11272] Time 0.806 (0.779) Data 0.001 (0.002) Loss 1.5898 (1.6742) Prec@1 53.125 (55.261) Prec@5 88.125 (83.936) Epoch: [71][4220/11272] Time 0.808 (0.779) Data 0.001 (0.002) Loss 1.5844 (1.6743) Prec@1 52.500 (55.259) Prec@5 87.500 (83.934) Epoch: [71][4230/11272] Time 0.714 (0.779) Data 0.002 (0.002) Loss 1.7372 (1.6742) Prec@1 55.625 (55.260) Prec@5 82.500 (83.936) Epoch: [71][4240/11272] Time 0.844 (0.779) Data 0.002 (0.002) Loss 1.6650 (1.6742) Prec@1 53.750 (55.258) Prec@5 83.125 (83.940) Epoch: [71][4250/11272] Time 0.830 (0.779) Data 0.002 (0.002) Loss 1.6663 (1.6743) Prec@1 57.500 (55.256) Prec@5 85.000 (83.941) Epoch: [71][4260/11272] Time 0.718 (0.779) Data 0.001 (0.002) Loss 1.6304 (1.6743) Prec@1 56.250 (55.259) Prec@5 86.250 (83.937) Epoch: [71][4270/11272] Time 0.710 (0.779) Data 0.001 (0.002) Loss 1.8348 (1.6743) Prec@1 54.375 (55.258) Prec@5 80.000 (83.937) Epoch: [71][4280/11272] Time 0.877 (0.779) Data 0.002 (0.002) Loss 1.6953 (1.6744) Prec@1 52.500 (55.256) Prec@5 82.500 (83.937) Epoch: [71][4290/11272] Time 0.901 (0.779) Data 0.002 (0.002) Loss 1.7439 (1.6742) Prec@1 55.000 (55.259) Prec@5 82.500 (83.940) Epoch: [71][4300/11272] Time 0.726 (0.779) Data 0.001 (0.002) Loss 1.8154 (1.6743) Prec@1 52.500 (55.256) Prec@5 80.625 (83.936) Epoch: [71][4310/11272] Time 0.722 (0.779) Data 0.001 (0.002) Loss 1.6788 (1.6743) Prec@1 53.750 (55.252) Prec@5 83.750 (83.938) Epoch: [71][4320/11272] Time 0.834 (0.779) Data 0.001 (0.002) Loss 1.8407 (1.6745) Prec@1 50.000 (55.249) Prec@5 84.375 (83.936) Epoch: [71][4330/11272] Time 0.803 (0.779) Data 0.001 (0.002) Loss 1.7076 (1.6745) Prec@1 50.000 (55.246) Prec@5 85.000 (83.938) Epoch: [71][4340/11272] Time 0.712 (0.779) Data 0.001 (0.002) Loss 1.6441 (1.6745) Prec@1 55.000 (55.245) Prec@5 85.000 (83.936) Epoch: [71][4350/11272] Time 0.700 (0.779) Data 0.001 (0.002) Loss 1.7762 (1.6744) Prec@1 53.125 (55.247) Prec@5 81.250 (83.936) Epoch: [71][4360/11272] Time 0.826 (0.779) Data 0.001 (0.002) Loss 1.4525 (1.6744) Prec@1 60.625 (55.246) Prec@5 86.250 (83.937) Epoch: [71][4370/11272] Time 0.705 (0.779) Data 0.003 (0.002) Loss 1.4645 (1.6742) Prec@1 60.000 (55.255) Prec@5 88.750 (83.942) Epoch: [71][4380/11272] Time 0.702 (0.779) Data 0.001 (0.002) Loss 1.8211 (1.6743) Prec@1 53.750 (55.249) Prec@5 80.000 (83.941) Epoch: [71][4390/11272] Time 0.793 (0.779) Data 0.001 (0.002) Loss 1.7402 (1.6746) Prec@1 51.875 (55.244) Prec@5 81.875 (83.935) Epoch: [71][4400/11272] Time 0.830 (0.779) Data 0.002 (0.002) Loss 1.7005 (1.6746) Prec@1 53.125 (55.244) Prec@5 83.125 (83.935) Epoch: [71][4410/11272] Time 0.722 (0.779) Data 0.001 (0.002) Loss 1.8719 (1.6747) Prec@1 52.500 (55.241) Prec@5 80.625 (83.934) Epoch: [71][4420/11272] Time 0.719 (0.779) Data 0.001 (0.002) Loss 1.6593 (1.6747) Prec@1 56.875 (55.240) Prec@5 83.750 (83.935) Epoch: [71][4430/11272] Time 0.812 (0.779) Data 0.001 (0.002) Loss 1.6995 (1.6749) Prec@1 57.500 (55.239) Prec@5 81.875 (83.932) Epoch: [71][4440/11272] Time 0.833 (0.779) Data 0.001 (0.002) Loss 1.6921 (1.6749) Prec@1 57.500 (55.236) Prec@5 83.125 (83.934) Epoch: [71][4450/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.5790 (1.6748) Prec@1 60.000 (55.238) Prec@5 87.500 (83.937) Epoch: [71][4460/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.6721 (1.6748) Prec@1 63.125 (55.240) Prec@5 84.375 (83.937) Epoch: [71][4470/11272] Time 0.826 (0.779) Data 0.002 (0.002) Loss 1.6368 (1.6749) Prec@1 56.875 (55.238) Prec@5 83.125 (83.934) Epoch: [71][4480/11272] Time 0.842 (0.779) Data 0.002 (0.002) Loss 1.6109 (1.6750) Prec@1 59.375 (55.235) Prec@5 83.750 (83.934) Epoch: [71][4490/11272] Time 0.686 (0.779) Data 0.001 (0.002) Loss 1.6966 (1.6750) Prec@1 58.750 (55.235) Prec@5 84.375 (83.932) Epoch: [71][4500/11272] Time 0.858 (0.779) Data 0.001 (0.002) Loss 1.7338 (1.6750) Prec@1 51.250 (55.236) Prec@5 83.125 (83.931) Epoch: [71][4510/11272] Time 0.816 (0.779) Data 0.001 (0.002) Loss 1.7235 (1.6749) Prec@1 50.625 (55.237) Prec@5 86.250 (83.933) Epoch: [71][4520/11272] Time 0.743 (0.779) Data 0.001 (0.002) Loss 1.5746 (1.6751) Prec@1 60.000 (55.233) Prec@5 84.375 (83.929) Epoch: [71][4530/11272] Time 0.714 (0.779) Data 0.001 (0.002) Loss 1.3473 (1.6751) Prec@1 68.750 (55.231) Prec@5 90.000 (83.928) Epoch: [71][4540/11272] Time 0.811 (0.779) Data 0.001 (0.002) Loss 1.8096 (1.6750) Prec@1 51.250 (55.232) Prec@5 81.250 (83.929) Epoch: [71][4550/11272] Time 0.815 (0.779) Data 0.001 (0.002) Loss 1.8123 (1.6751) Prec@1 49.375 (55.231) Prec@5 83.125 (83.927) Epoch: [71][4560/11272] Time 0.726 (0.779) Data 0.001 (0.002) Loss 1.4601 (1.6751) Prec@1 55.625 (55.233) Prec@5 88.750 (83.929) Epoch: [71][4570/11272] Time 0.712 (0.779) Data 0.001 (0.002) Loss 1.6447 (1.6750) Prec@1 57.500 (55.234) Prec@5 85.625 (83.932) Epoch: [71][4580/11272] Time 0.831 (0.779) Data 0.002 (0.002) Loss 1.5679 (1.6749) Prec@1 54.375 (55.237) Prec@5 86.250 (83.934) Epoch: [71][4590/11272] Time 0.856 (0.779) Data 0.001 (0.002) Loss 1.5001 (1.6750) Prec@1 58.125 (55.234) Prec@5 88.125 (83.933) Epoch: [71][4600/11272] Time 0.739 (0.779) Data 0.002 (0.002) Loss 1.5644 (1.6749) Prec@1 60.000 (55.234) Prec@5 88.125 (83.933) Epoch: [71][4610/11272] Time 0.711 (0.779) Data 0.001 (0.002) Loss 1.6319 (1.6750) Prec@1 51.875 (55.228) Prec@5 86.250 (83.932) Epoch: [71][4620/11272] Time 0.838 (0.779) Data 0.002 (0.002) Loss 1.6022 (1.6750) Prec@1 58.125 (55.228) Prec@5 88.125 (83.933) Epoch: [71][4630/11272] Time 0.724 (0.779) Data 0.003 (0.002) Loss 1.8383 (1.6750) Prec@1 53.125 (55.229) Prec@5 81.250 (83.934) Epoch: [71][4640/11272] Time 0.708 (0.779) Data 0.001 (0.002) Loss 1.6118 (1.6750) Prec@1 54.375 (55.229) Prec@5 85.000 (83.936) Epoch: [71][4650/11272] Time 0.850 (0.779) Data 0.002 (0.002) Loss 1.5986 (1.6750) Prec@1 58.125 (55.230) Prec@5 83.750 (83.936) Epoch: [71][4660/11272] Time 0.826 (0.779) Data 0.002 (0.002) Loss 1.6972 (1.6750) Prec@1 55.625 (55.233) Prec@5 80.625 (83.936) Epoch: [71][4670/11272] Time 0.722 (0.779) Data 0.001 (0.002) Loss 1.6489 (1.6751) Prec@1 53.125 (55.232) Prec@5 83.750 (83.935) Epoch: [71][4680/11272] Time 0.688 (0.779) Data 0.001 (0.002) Loss 1.7071 (1.6751) Prec@1 56.875 (55.232) Prec@5 82.500 (83.932) Epoch: [71][4690/11272] Time 0.838 (0.779) Data 0.002 (0.002) Loss 1.7931 (1.6752) Prec@1 53.750 (55.230) Prec@5 80.000 (83.931) Epoch: [71][4700/11272] Time 0.846 (0.779) Data 0.002 (0.002) Loss 1.5588 (1.6750) Prec@1 55.000 (55.235) Prec@5 86.875 (83.933) Epoch: [71][4710/11272] Time 0.696 (0.779) Data 0.001 (0.002) Loss 1.7012 (1.6749) Prec@1 52.500 (55.238) Prec@5 84.375 (83.933) Epoch: [71][4720/11272] Time 0.684 (0.779) Data 0.001 (0.002) Loss 1.6645 (1.6749) Prec@1 59.375 (55.240) Prec@5 81.250 (83.934) Epoch: [71][4730/11272] Time 0.857 (0.779) Data 0.002 (0.002) Loss 1.5289 (1.6750) Prec@1 60.625 (55.239) Prec@5 85.000 (83.932) Epoch: [71][4740/11272] Time 0.802 (0.779) Data 0.001 (0.002) Loss 1.6174 (1.6748) Prec@1 59.375 (55.241) Prec@5 86.875 (83.937) Epoch: [71][4750/11272] Time 0.743 (0.779) Data 0.002 (0.002) Loss 1.8785 (1.6749) Prec@1 48.750 (55.238) Prec@5 83.125 (83.936) Epoch: [71][4760/11272] Time 0.785 (0.779) Data 0.001 (0.002) Loss 1.4673 (1.6749) Prec@1 66.250 (55.240) Prec@5 85.000 (83.936) Epoch: [71][4770/11272] Time 0.861 (0.779) Data 0.002 (0.002) Loss 1.7233 (1.6750) Prec@1 55.000 (55.240) Prec@5 83.750 (83.933) Epoch: [71][4780/11272] Time 0.740 (0.779) Data 0.001 (0.002) Loss 1.6516 (1.6750) Prec@1 50.625 (55.237) Prec@5 83.750 (83.934) Epoch: [71][4790/11272] Time 0.703 (0.779) Data 0.001 (0.002) Loss 1.5749 (1.6749) Prec@1 55.625 (55.240) Prec@5 86.250 (83.936) Epoch: [71][4800/11272] Time 0.816 (0.779) Data 0.001 (0.002) Loss 1.6231 (1.6749) Prec@1 58.750 (55.241) Prec@5 84.375 (83.937) Epoch: [71][4810/11272] Time 0.877 (0.779) Data 0.002 (0.002) Loss 1.9123 (1.6749) Prec@1 46.875 (55.237) Prec@5 81.250 (83.937) Epoch: [71][4820/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.4894 (1.6747) Prec@1 57.500 (55.240) Prec@5 84.375 (83.940) Epoch: [71][4830/11272] Time 0.700 (0.779) Data 0.001 (0.002) Loss 1.7641 (1.6748) Prec@1 53.750 (55.237) Prec@5 81.875 (83.937) Epoch: [71][4840/11272] Time 0.852 (0.779) Data 0.002 (0.002) Loss 1.6507 (1.6747) Prec@1 55.000 (55.237) Prec@5 85.000 (83.938) Epoch: [71][4850/11272] Time 0.831 (0.779) Data 0.002 (0.002) Loss 1.7495 (1.6748) Prec@1 56.875 (55.236) Prec@5 83.750 (83.937) Epoch: [71][4860/11272] Time 0.727 (0.779) Data 0.001 (0.002) Loss 1.6832 (1.6748) Prec@1 51.875 (55.235) Prec@5 81.875 (83.936) Epoch: [71][4870/11272] Time 0.711 (0.779) Data 0.002 (0.002) Loss 1.6732 (1.6749) Prec@1 55.625 (55.232) Prec@5 83.750 (83.935) Epoch: [71][4880/11272] Time 0.803 (0.779) Data 0.001 (0.002) Loss 1.6662 (1.6750) Prec@1 50.625 (55.230) Prec@5 84.375 (83.935) Epoch: [71][4890/11272] Time 0.830 (0.779) Data 0.001 (0.002) Loss 1.7819 (1.6750) Prec@1 48.750 (55.227) Prec@5 83.125 (83.934) Epoch: [71][4900/11272] Time 0.725 (0.779) Data 0.002 (0.002) Loss 1.6306 (1.6750) Prec@1 53.125 (55.224) Prec@5 87.500 (83.936) Epoch: [71][4910/11272] Time 0.835 (0.779) Data 0.001 (0.002) Loss 1.5184 (1.6751) Prec@1 54.375 (55.220) Prec@5 87.500 (83.935) Epoch: [71][4920/11272] Time 0.842 (0.779) Data 0.001 (0.002) Loss 1.6666 (1.6750) Prec@1 51.875 (55.218) Prec@5 85.625 (83.939) Epoch: [71][4930/11272] Time 0.752 (0.779) Data 0.002 (0.002) Loss 1.8081 (1.6751) Prec@1 51.875 (55.217) Prec@5 80.625 (83.937) Epoch: [71][4940/11272] Time 0.753 (0.779) Data 0.001 (0.002) Loss 1.7317 (1.6751) Prec@1 50.625 (55.216) Prec@5 84.375 (83.940) Epoch: [71][4950/11272] Time 0.842 (0.779) Data 0.002 (0.002) Loss 1.7928 (1.6752) Prec@1 51.250 (55.215) Prec@5 82.500 (83.938) Epoch: [71][4960/11272] Time 0.878 (0.779) Data 0.001 (0.002) Loss 1.5492 (1.6752) Prec@1 60.000 (55.216) Prec@5 84.375 (83.939) Epoch: [71][4970/11272] Time 0.704 (0.779) Data 0.001 (0.002) Loss 1.7573 (1.6751) Prec@1 51.875 (55.217) Prec@5 85.625 (83.940) Epoch: [71][4980/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.5606 (1.6751) Prec@1 60.625 (55.217) Prec@5 84.375 (83.941) Epoch: [71][4990/11272] Time 0.846 (0.779) Data 0.002 (0.002) Loss 1.8150 (1.6753) Prec@1 49.375 (55.213) Prec@5 81.250 (83.938) Epoch: [71][5000/11272] Time 0.853 (0.779) Data 0.002 (0.002) Loss 1.5199 (1.6753) Prec@1 60.000 (55.217) Prec@5 88.125 (83.939) Epoch: [71][5010/11272] Time 0.703 (0.779) Data 0.001 (0.002) Loss 1.8566 (1.6753) Prec@1 48.750 (55.218) Prec@5 81.875 (83.939) Epoch: [71][5020/11272] Time 0.709 (0.779) Data 0.001 (0.002) Loss 1.6654 (1.6752) Prec@1 56.875 (55.219) Prec@5 82.500 (83.940) Epoch: [71][5030/11272] Time 0.832 (0.779) Data 0.001 (0.002) Loss 1.6953 (1.6750) Prec@1 52.500 (55.224) Prec@5 83.750 (83.942) Epoch: [71][5040/11272] Time 0.739 (0.779) Data 0.001 (0.002) Loss 1.6997 (1.6750) Prec@1 55.625 (55.223) Prec@5 83.125 (83.943) Epoch: [71][5050/11272] Time 0.738 (0.779) Data 0.001 (0.002) Loss 1.8244 (1.6753) Prec@1 47.500 (55.216) Prec@5 80.000 (83.937) Epoch: [71][5060/11272] Time 0.799 (0.779) Data 0.001 (0.002) Loss 1.8466 (1.6754) Prec@1 49.375 (55.211) Prec@5 82.500 (83.938) Epoch: [71][5070/11272] Time 0.848 (0.779) Data 0.002 (0.002) Loss 1.6830 (1.6754) Prec@1 55.000 (55.214) Prec@5 84.375 (83.939) Epoch: [71][5080/11272] Time 0.721 (0.779) Data 0.001 (0.002) Loss 1.8033 (1.6755) Prec@1 50.625 (55.215) Prec@5 81.250 (83.937) Epoch: [71][5090/11272] Time 0.732 (0.779) Data 0.001 (0.002) Loss 1.7505 (1.6755) Prec@1 54.375 (55.214) Prec@5 84.375 (83.936) Epoch: [71][5100/11272] Time 0.814 (0.779) Data 0.001 (0.002) Loss 1.9221 (1.6756) Prec@1 45.000 (55.211) Prec@5 80.625 (83.934) Epoch: [71][5110/11272] Time 0.870 (0.779) Data 0.002 (0.002) Loss 1.7428 (1.6758) Prec@1 53.125 (55.209) Prec@5 85.625 (83.933) Epoch: [71][5120/11272] Time 0.707 (0.779) Data 0.001 (0.002) Loss 1.6569 (1.6759) Prec@1 55.625 (55.206) Prec@5 83.750 (83.930) Epoch: [71][5130/11272] Time 0.715 (0.779) Data 0.001 (0.002) Loss 1.7724 (1.6759) Prec@1 53.125 (55.207) Prec@5 83.750 (83.932) Epoch: [71][5140/11272] Time 0.876 (0.779) Data 0.002 (0.002) Loss 1.6334 (1.6759) Prec@1 53.125 (55.203) Prec@5 85.625 (83.930) Epoch: [71][5150/11272] Time 0.847 (0.779) Data 0.001 (0.002) Loss 1.6793 (1.6758) Prec@1 57.500 (55.206) Prec@5 85.625 (83.933) Epoch: [71][5160/11272] Time 0.721 (0.779) Data 0.001 (0.002) Loss 1.4330 (1.6758) Prec@1 61.250 (55.207) Prec@5 87.500 (83.933) Epoch: [71][5170/11272] Time 0.798 (0.779) Data 0.001 (0.002) Loss 1.7069 (1.6759) Prec@1 48.125 (55.207) Prec@5 83.750 (83.932) Epoch: [71][5180/11272] Time 0.833 (0.779) Data 0.002 (0.002) Loss 1.7061 (1.6759) Prec@1 50.625 (55.206) Prec@5 85.625 (83.933) Epoch: [71][5190/11272] Time 0.729 (0.779) Data 0.002 (0.002) Loss 1.7465 (1.6760) Prec@1 48.125 (55.202) Prec@5 82.500 (83.930) Epoch: [71][5200/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.7411 (1.6761) Prec@1 47.500 (55.199) Prec@5 85.000 (83.928) Epoch: [71][5210/11272] Time 0.835 (0.779) Data 0.001 (0.002) Loss 1.5156 (1.6761) Prec@1 58.125 (55.197) Prec@5 83.750 (83.928) Epoch: [71][5220/11272] Time 0.814 (0.779) Data 0.001 (0.002) Loss 1.7171 (1.6762) Prec@1 53.125 (55.194) Prec@5 83.750 (83.928) Epoch: [71][5230/11272] Time 0.733 (0.779) Data 0.001 (0.002) Loss 1.9278 (1.6762) Prec@1 50.625 (55.196) Prec@5 79.375 (83.929) Epoch: [71][5240/11272] Time 0.731 (0.779) Data 0.001 (0.002) Loss 1.5038 (1.6761) Prec@1 62.500 (55.197) Prec@5 86.250 (83.928) Epoch: [71][5250/11272] Time 0.835 (0.779) Data 0.002 (0.002) Loss 1.6733 (1.6762) Prec@1 56.250 (55.196) Prec@5 83.750 (83.925) Epoch: [71][5260/11272] Time 0.835 (0.779) Data 0.002 (0.002) Loss 1.5742 (1.6764) Prec@1 59.375 (55.190) Prec@5 83.750 (83.921) Epoch: [71][5270/11272] Time 0.715 (0.779) Data 0.001 (0.002) Loss 1.5873 (1.6765) Prec@1 56.875 (55.188) Prec@5 86.875 (83.920) Epoch: [71][5280/11272] Time 0.729 (0.779) Data 0.001 (0.002) Loss 1.7130 (1.6766) Prec@1 53.125 (55.182) Prec@5 81.875 (83.918) Epoch: [71][5290/11272] Time 0.851 (0.779) Data 0.001 (0.002) Loss 1.8771 (1.6766) Prec@1 50.000 (55.181) Prec@5 76.875 (83.916) Epoch: [71][5300/11272] Time 0.757 (0.779) Data 0.004 (0.002) Loss 1.5980 (1.6766) Prec@1 58.125 (55.180) Prec@5 87.500 (83.917) Epoch: [71][5310/11272] Time 0.747 (0.779) Data 0.001 (0.002) Loss 1.4898 (1.6767) Prec@1 58.125 (55.179) Prec@5 88.125 (83.916) Epoch: [71][5320/11272] Time 0.812 (0.779) Data 0.001 (0.002) Loss 1.6034 (1.6767) Prec@1 58.750 (55.176) Prec@5 88.125 (83.917) Epoch: [71][5330/11272] Time 0.843 (0.779) Data 0.002 (0.002) Loss 1.8348 (1.6767) Prec@1 50.000 (55.175) Prec@5 78.750 (83.917) Epoch: [71][5340/11272] Time 0.727 (0.779) Data 0.001 (0.002) Loss 1.7743 (1.6768) Prec@1 51.875 (55.173) Prec@5 86.250 (83.916) Epoch: [71][5350/11272] Time 0.716 (0.779) Data 0.002 (0.002) Loss 1.5121 (1.6767) Prec@1 58.750 (55.174) Prec@5 88.750 (83.919) Epoch: [71][5360/11272] Time 0.901 (0.779) Data 0.002 (0.002) Loss 1.7597 (1.6767) Prec@1 55.000 (55.176) Prec@5 82.500 (83.919) Epoch: [71][5370/11272] Time 0.887 (0.780) Data 0.002 (0.002) Loss 1.5557 (1.6767) Prec@1 61.250 (55.174) Prec@5 83.750 (83.917) Epoch: [71][5380/11272] Time 0.714 (0.780) Data 0.002 (0.002) Loss 1.5462 (1.6767) Prec@1 58.750 (55.173) Prec@5 84.375 (83.914) Epoch: [71][5390/11272] Time 0.717 (0.780) Data 0.001 (0.002) Loss 1.6577 (1.6766) Prec@1 58.750 (55.177) Prec@5 83.125 (83.915) Epoch: [71][5400/11272] Time 0.897 (0.780) Data 0.002 (0.002) Loss 1.5178 (1.6767) Prec@1 56.875 (55.178) Prec@5 86.875 (83.913) Epoch: [71][5410/11272] Time 0.847 (0.780) Data 0.002 (0.002) Loss 1.6041 (1.6766) Prec@1 55.625 (55.179) Prec@5 86.875 (83.914) Epoch: [71][5420/11272] Time 0.766 (0.780) Data 0.002 (0.002) Loss 1.7538 (1.6766) Prec@1 56.250 (55.179) Prec@5 81.250 (83.914) Epoch: [71][5430/11272] Time 0.832 (0.780) Data 0.001 (0.002) Loss 1.6392 (1.6765) Prec@1 52.500 (55.181) Prec@5 85.625 (83.918) Epoch: [71][5440/11272] Time 0.876 (0.780) Data 0.002 (0.002) Loss 1.5457 (1.6765) Prec@1 56.250 (55.181) Prec@5 87.500 (83.917) Epoch: [71][5450/11272] Time 0.717 (0.780) Data 0.002 (0.002) Loss 1.5605 (1.6765) Prec@1 60.000 (55.181) Prec@5 83.125 (83.916) Epoch: [71][5460/11272] Time 0.742 (0.780) Data 0.002 (0.002) Loss 1.5482 (1.6765) Prec@1 58.125 (55.181) Prec@5 88.125 (83.918) Epoch: [71][5470/11272] Time 0.868 (0.780) Data 0.002 (0.002) Loss 1.8341 (1.6765) Prec@1 51.875 (55.180) Prec@5 80.000 (83.918) Epoch: [71][5480/11272] Time 0.826 (0.780) Data 0.001 (0.002) Loss 1.8394 (1.6765) Prec@1 48.125 (55.178) Prec@5 82.500 (83.920) Epoch: [71][5490/11272] Time 0.735 (0.780) Data 0.001 (0.002) Loss 1.6487 (1.6764) Prec@1 57.500 (55.181) Prec@5 85.000 (83.922) Epoch: [71][5500/11272] Time 0.715 (0.780) Data 0.002 (0.002) Loss 1.6146 (1.6764) Prec@1 60.000 (55.183) Prec@5 84.375 (83.923) Epoch: [71][5510/11272] Time 0.830 (0.780) Data 0.001 (0.002) Loss 1.5856 (1.6764) Prec@1 58.750 (55.181) Prec@5 83.750 (83.921) Epoch: [71][5520/11272] Time 0.894 (0.780) Data 0.001 (0.002) Loss 1.7009 (1.6764) Prec@1 53.125 (55.181) Prec@5 85.000 (83.924) Epoch: [71][5530/11272] Time 0.732 (0.780) Data 0.001 (0.002) Loss 1.7414 (1.6765) Prec@1 56.875 (55.177) Prec@5 81.875 (83.922) Epoch: [71][5540/11272] Time 0.726 (0.780) Data 0.002 (0.002) Loss 1.3619 (1.6763) Prec@1 64.375 (55.180) Prec@5 88.750 (83.924) Epoch: [71][5550/11272] Time 0.891 (0.780) Data 0.002 (0.002) Loss 1.7306 (1.6763) Prec@1 52.500 (55.180) Prec@5 83.125 (83.925) Epoch: [71][5560/11272] Time 0.738 (0.780) Data 0.003 (0.002) Loss 1.6031 (1.6763) Prec@1 57.500 (55.177) Prec@5 85.000 (83.926) Epoch: [71][5570/11272] Time 0.718 (0.780) Data 0.001 (0.002) Loss 1.6627 (1.6762) Prec@1 61.250 (55.179) Prec@5 80.625 (83.926) Epoch: [71][5580/11272] Time 0.868 (0.780) Data 0.002 (0.002) Loss 1.6436 (1.6763) Prec@1 55.625 (55.177) Prec@5 86.250 (83.926) Epoch: [71][5590/11272] Time 0.880 (0.780) Data 0.002 (0.002) Loss 1.5913 (1.6764) Prec@1 56.250 (55.176) Prec@5 83.750 (83.925) Epoch: [71][5600/11272] Time 0.724 (0.780) Data 0.001 (0.002) Loss 1.6414 (1.6763) Prec@1 59.375 (55.177) Prec@5 81.250 (83.928) Epoch: [71][5610/11272] Time 0.727 (0.780) Data 0.001 (0.002) Loss 1.5030 (1.6763) Prec@1 60.625 (55.176) Prec@5 85.000 (83.926) Epoch: [71][5620/11272] Time 0.867 (0.780) Data 0.002 (0.002) Loss 1.4225 (1.6763) Prec@1 59.375 (55.177) Prec@5 91.875 (83.929) Epoch: [71][5630/11272] Time 0.856 (0.780) Data 0.002 (0.002) Loss 1.7064 (1.6763) Prec@1 58.125 (55.176) Prec@5 81.875 (83.927) Epoch: [71][5640/11272] Time 0.749 (0.780) Data 0.002 (0.002) Loss 1.6729 (1.6764) Prec@1 53.125 (55.175) Prec@5 86.250 (83.926) Epoch: [71][5650/11272] Time 0.721 (0.780) Data 0.001 (0.002) Loss 1.6681 (1.6765) Prec@1 53.750 (55.173) Prec@5 84.375 (83.926) Epoch: [71][5660/11272] Time 0.865 (0.780) Data 0.002 (0.002) Loss 1.6498 (1.6765) Prec@1 53.750 (55.172) Prec@5 85.000 (83.924) Epoch: [71][5670/11272] Time 0.828 (0.780) Data 0.002 (0.002) Loss 1.8906 (1.6765) Prec@1 52.500 (55.172) Prec@5 75.625 (83.924) Epoch: [71][5680/11272] Time 0.726 (0.780) Data 0.002 (0.002) Loss 1.5552 (1.6765) Prec@1 60.000 (55.172) Prec@5 84.375 (83.924) Epoch: [71][5690/11272] Time 0.821 (0.780) Data 0.001 (0.002) Loss 1.6645 (1.6765) Prec@1 55.625 (55.170) Prec@5 85.625 (83.926) Epoch: [71][5700/11272] Time 0.822 (0.781) Data 0.001 (0.002) Loss 1.6081 (1.6765) Prec@1 58.125 (55.169) Prec@5 85.625 (83.924) Epoch: [71][5710/11272] Time 0.727 (0.781) Data 0.001 (0.002) Loss 1.6067 (1.6766) Prec@1 58.125 (55.169) Prec@5 83.125 (83.921) Epoch: [71][5720/11272] Time 0.724 (0.781) Data 0.002 (0.002) Loss 1.6442 (1.6766) Prec@1 56.250 (55.166) Prec@5 81.250 (83.920) Epoch: [71][5730/11272] Time 0.871 (0.781) Data 0.002 (0.002) Loss 1.6074 (1.6766) Prec@1 57.500 (55.168) Prec@5 81.250 (83.919) Epoch: [71][5740/11272] Time 0.840 (0.781) Data 0.004 (0.002) Loss 1.8686 (1.6766) Prec@1 53.125 (55.166) Prec@5 80.000 (83.918) Epoch: [71][5750/11272] Time 0.714 (0.781) Data 0.002 (0.002) Loss 1.6762 (1.6766) Prec@1 50.000 (55.165) Prec@5 86.250 (83.919) Epoch: [71][5760/11272] Time 0.793 (0.781) Data 0.002 (0.002) Loss 1.5621 (1.6766) Prec@1 58.125 (55.169) Prec@5 85.000 (83.919) Epoch: [71][5770/11272] Time 0.848 (0.781) Data 0.002 (0.002) Loss 1.7133 (1.6766) Prec@1 53.750 (55.167) Prec@5 80.000 (83.916) Epoch: [71][5780/11272] Time 0.847 (0.781) Data 0.002 (0.002) Loss 1.6755 (1.6765) Prec@1 55.625 (55.170) Prec@5 82.500 (83.917) Epoch: [71][5790/11272] Time 0.741 (0.781) Data 0.002 (0.002) Loss 1.7038 (1.6765) Prec@1 46.875 (55.168) Prec@5 87.500 (83.917) Epoch: [71][5800/11272] Time 0.738 (0.781) Data 0.002 (0.002) Loss 1.7990 (1.6766) Prec@1 52.500 (55.166) Prec@5 88.125 (83.919) Epoch: [71][5810/11272] Time 0.855 (0.781) Data 0.002 (0.002) Loss 1.7569 (1.6766) Prec@1 51.875 (55.164) Prec@5 82.500 (83.921) Epoch: [71][5820/11272] Time 0.851 (0.781) Data 0.002 (0.002) Loss 1.6647 (1.6766) Prec@1 52.500 (55.162) Prec@5 85.000 (83.920) Epoch: [71][5830/11272] Time 0.785 (0.781) Data 0.002 (0.002) Loss 1.6103 (1.6766) Prec@1 56.875 (55.162) Prec@5 83.750 (83.919) Epoch: [71][5840/11272] Time 0.908 (0.781) Data 0.002 (0.002) Loss 1.9195 (1.6767) Prec@1 52.500 (55.159) Prec@5 80.000 (83.917) Epoch: [71][5850/11272] Time 0.867 (0.781) Data 0.001 (0.002) Loss 1.5465 (1.6768) Prec@1 63.125 (55.159) Prec@5 88.750 (83.917) Epoch: [71][5860/11272] Time 0.736 (0.781) Data 0.002 (0.002) Loss 1.9636 (1.6769) Prec@1 48.750 (55.154) Prec@5 78.125 (83.918) Epoch: [71][5870/11272] Time 0.725 (0.781) Data 0.003 (0.002) Loss 1.5923 (1.6770) Prec@1 57.500 (55.153) Prec@5 85.000 (83.918) Epoch: [71][5880/11272] Time 0.868 (0.781) Data 0.001 (0.002) Loss 1.6294 (1.6769) Prec@1 54.375 (55.156) Prec@5 84.375 (83.920) Epoch: [71][5890/11272] Time 0.828 (0.781) Data 0.001 (0.002) Loss 1.6114 (1.6769) Prec@1 56.250 (55.153) Prec@5 86.875 (83.920) Epoch: [71][5900/11272] Time 0.709 (0.781) Data 0.001 (0.002) Loss 1.6006 (1.6768) Prec@1 55.625 (55.156) Prec@5 86.250 (83.923) Epoch: [71][5910/11272] Time 0.735 (0.781) Data 0.002 (0.002) Loss 1.8910 (1.6768) Prec@1 46.250 (55.156) Prec@5 85.000 (83.924) Epoch: [71][5920/11272] Time 0.855 (0.781) Data 0.002 (0.002) Loss 1.7676 (1.6768) Prec@1 53.125 (55.156) Prec@5 82.500 (83.925) Epoch: [71][5930/11272] Time 0.824 (0.781) Data 0.002 (0.002) Loss 1.8624 (1.6767) Prec@1 58.125 (55.159) Prec@5 80.000 (83.926) Epoch: [71][5940/11272] Time 0.763 (0.781) Data 0.001 (0.002) Loss 1.5042 (1.6767) Prec@1 58.125 (55.158) Prec@5 88.750 (83.923) Epoch: [71][5950/11272] Time 0.723 (0.781) Data 0.001 (0.002) Loss 1.8265 (1.6767) Prec@1 59.375 (55.160) Prec@5 79.375 (83.924) Epoch: [71][5960/11272] Time 0.898 (0.781) Data 0.002 (0.002) Loss 1.7475 (1.6767) Prec@1 53.125 (55.159) Prec@5 78.750 (83.923) Epoch: [71][5970/11272] Time 0.750 (0.781) Data 0.001 (0.002) Loss 1.6706 (1.6768) Prec@1 58.125 (55.159) Prec@5 85.000 (83.922) Epoch: [71][5980/11272] Time 0.743 (0.781) Data 0.001 (0.002) Loss 1.5509 (1.6768) Prec@1 52.500 (55.156) Prec@5 84.375 (83.921) Epoch: [71][5990/11272] Time 0.855 (0.781) Data 0.002 (0.002) Loss 1.4324 (1.6768) Prec@1 56.250 (55.156) Prec@5 89.375 (83.922) Epoch: [71][6000/11272] Time 0.828 (0.781) Data 0.002 (0.002) Loss 1.8060 (1.6768) Prec@1 52.500 (55.155) Prec@5 78.750 (83.922) Epoch: [71][6010/11272] Time 0.713 (0.781) Data 0.001 (0.002) Loss 1.8883 (1.6769) Prec@1 53.125 (55.155) Prec@5 77.500 (83.919) Epoch: [71][6020/11272] Time 0.746 (0.782) Data 0.002 (0.002) Loss 1.5424 (1.6769) Prec@1 58.750 (55.155) Prec@5 87.500 (83.918) Epoch: [71][6030/11272] Time 0.939 (0.782) Data 0.002 (0.002) Loss 1.8835 (1.6770) Prec@1 52.500 (55.156) Prec@5 78.125 (83.919) Epoch: [71][6040/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.8459 (1.6770) Prec@1 53.125 (55.157) Prec@5 81.875 (83.917) Epoch: [71][6050/11272] Time 0.733 (0.782) Data 0.001 (0.002) Loss 1.6659 (1.6772) Prec@1 55.000 (55.154) Prec@5 86.250 (83.916) Epoch: [71][6060/11272] Time 0.754 (0.782) Data 0.002 (0.002) Loss 1.6448 (1.6771) Prec@1 52.500 (55.154) Prec@5 84.375 (83.917) Epoch: [71][6070/11272] Time 0.915 (0.782) Data 0.002 (0.002) Loss 1.7622 (1.6773) Prec@1 55.625 (55.152) Prec@5 79.375 (83.914) Epoch: [71][6080/11272] Time 0.839 (0.782) Data 0.001 (0.002) Loss 1.9036 (1.6773) Prec@1 47.500 (55.153) Prec@5 82.500 (83.912) Epoch: [71][6090/11272] Time 0.735 (0.782) Data 0.002 (0.002) Loss 1.6411 (1.6772) Prec@1 53.125 (55.155) Prec@5 86.250 (83.913) Epoch: [71][6100/11272] Time 0.863 (0.782) Data 0.001 (0.002) Loss 1.9761 (1.6773) Prec@1 50.000 (55.152) Prec@5 79.375 (83.912) Epoch: [71][6110/11272] Time 0.949 (0.782) Data 0.003 (0.002) Loss 1.6255 (1.6772) Prec@1 53.750 (55.152) Prec@5 86.875 (83.914) Epoch: [71][6120/11272] Time 0.718 (0.782) Data 0.002 (0.002) Loss 1.5168 (1.6772) Prec@1 57.500 (55.150) Prec@5 86.875 (83.915) Epoch: [71][6130/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.6599 (1.6771) Prec@1 53.125 (55.153) Prec@5 88.750 (83.917) Epoch: [71][6140/11272] Time 0.863 (0.782) Data 0.001 (0.002) Loss 1.7002 (1.6772) Prec@1 55.000 (55.152) Prec@5 85.625 (83.916) Epoch: [71][6150/11272] Time 0.834 (0.782) Data 0.001 (0.002) Loss 1.5001 (1.6770) Prec@1 53.750 (55.155) Prec@5 87.500 (83.919) Epoch: [71][6160/11272] Time 0.731 (0.782) Data 0.002 (0.002) Loss 1.6668 (1.6771) Prec@1 58.125 (55.155) Prec@5 83.125 (83.919) Epoch: [71][6170/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.6506 (1.6771) Prec@1 58.750 (55.154) Prec@5 82.500 (83.917) Epoch: [71][6180/11272] Time 0.900 (0.782) Data 0.001 (0.002) Loss 1.3833 (1.6771) Prec@1 63.750 (55.155) Prec@5 87.500 (83.917) Epoch: [71][6190/11272] Time 0.869 (0.782) Data 0.001 (0.002) Loss 1.8557 (1.6772) Prec@1 51.875 (55.151) Prec@5 80.625 (83.917) Epoch: [71][6200/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.7787 (1.6772) Prec@1 54.375 (55.151) Prec@5 80.000 (83.915) Epoch: [71][6210/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.6385 (1.6773) Prec@1 53.750 (55.149) Prec@5 87.500 (83.913) Epoch: [71][6220/11272] Time 0.854 (0.782) Data 0.001 (0.002) Loss 1.3759 (1.6772) Prec@1 60.625 (55.150) Prec@5 90.000 (83.913) Epoch: [71][6230/11272] Time 0.777 (0.782) Data 0.004 (0.002) Loss 1.5247 (1.6771) Prec@1 57.500 (55.152) Prec@5 87.500 (83.916) Epoch: [71][6240/11272] Time 0.721 (0.782) Data 0.002 (0.002) Loss 1.5618 (1.6771) Prec@1 57.500 (55.152) Prec@5 87.500 (83.917) Epoch: [71][6250/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.6236 (1.6771) Prec@1 57.500 (55.153) Prec@5 82.500 (83.917) Epoch: [71][6260/11272] Time 0.870 (0.782) Data 0.002 (0.002) Loss 1.4211 (1.6771) Prec@1 55.000 (55.148) Prec@5 90.625 (83.916) Epoch: [71][6270/11272] Time 0.729 (0.782) Data 0.002 (0.002) Loss 1.8428 (1.6771) Prec@1 48.125 (55.149) Prec@5 81.250 (83.914) Epoch: [71][6280/11272] Time 0.800 (0.782) Data 0.003 (0.002) Loss 1.7445 (1.6771) Prec@1 55.000 (55.148) Prec@5 83.125 (83.914) Epoch: [71][6290/11272] Time 0.864 (0.782) Data 0.002 (0.002) Loss 1.6463 (1.6773) Prec@1 56.250 (55.144) Prec@5 85.000 (83.912) Epoch: [71][6300/11272] Time 0.869 (0.782) Data 0.002 (0.002) Loss 1.8060 (1.6773) Prec@1 50.625 (55.145) Prec@5 81.250 (83.914) Epoch: [71][6310/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.7918 (1.6773) Prec@1 55.625 (55.146) Prec@5 80.625 (83.913) Epoch: [71][6320/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.7195 (1.6773) Prec@1 54.375 (55.144) Prec@5 83.125 (83.913) Epoch: [71][6330/11272] Time 0.840 (0.782) Data 0.001 (0.002) Loss 1.8484 (1.6773) Prec@1 51.250 (55.143) Prec@5 80.625 (83.913) Epoch: [71][6340/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.7506 (1.6773) Prec@1 51.250 (55.143) Prec@5 85.625 (83.914) Epoch: [71][6350/11272] Time 0.715 (0.782) Data 0.002 (0.002) Loss 1.8336 (1.6772) Prec@1 49.375 (55.145) Prec@5 81.250 (83.915) Epoch: [71][6360/11272] Time 0.862 (0.782) Data 0.001 (0.002) Loss 1.7324 (1.6772) Prec@1 53.750 (55.144) Prec@5 85.000 (83.916) Epoch: [71][6370/11272] Time 0.822 (0.782) Data 0.001 (0.002) Loss 1.7769 (1.6773) Prec@1 55.000 (55.142) Prec@5 80.625 (83.915) Epoch: [71][6380/11272] Time 0.743 (0.783) Data 0.002 (0.002) Loss 1.8601 (1.6772) Prec@1 52.500 (55.143) Prec@5 82.500 (83.918) Epoch: [71][6390/11272] Time 0.726 (0.783) Data 0.001 (0.002) Loss 1.7446 (1.6773) Prec@1 55.625 (55.141) Prec@5 78.750 (83.916) Epoch: [71][6400/11272] Time 0.870 (0.783) Data 0.002 (0.002) Loss 1.5260 (1.6774) Prec@1 56.875 (55.141) Prec@5 85.625 (83.914) Epoch: [71][6410/11272] Time 0.834 (0.783) Data 0.001 (0.002) Loss 1.7012 (1.6773) Prec@1 50.000 (55.141) Prec@5 83.750 (83.914) Epoch: [71][6420/11272] Time 0.720 (0.783) Data 0.001 (0.002) Loss 1.7225 (1.6773) Prec@1 50.000 (55.141) Prec@5 84.375 (83.913) Epoch: [71][6430/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.5804 (1.6772) Prec@1 51.875 (55.143) Prec@5 88.750 (83.915) Epoch: [71][6440/11272] Time 0.866 (0.783) Data 0.002 (0.002) Loss 1.8342 (1.6772) Prec@1 52.500 (55.143) Prec@5 82.500 (83.915) Epoch: [71][6450/11272] Time 0.888 (0.783) Data 0.002 (0.002) Loss 1.8125 (1.6771) Prec@1 59.375 (55.148) Prec@5 81.250 (83.918) Epoch: [71][6460/11272] Time 0.713 (0.783) Data 0.002 (0.002) Loss 1.4918 (1.6772) Prec@1 59.375 (55.146) Prec@5 88.125 (83.918) Epoch: [71][6470/11272] Time 0.732 (0.783) Data 0.002 (0.002) Loss 1.6966 (1.6771) Prec@1 50.625 (55.149) Prec@5 82.500 (83.919) Epoch: [71][6480/11272] Time 0.861 (0.783) Data 0.002 (0.002) Loss 1.6781 (1.6772) Prec@1 51.250 (55.146) Prec@5 84.375 (83.918) Epoch: [71][6490/11272] Time 0.728 (0.783) Data 0.003 (0.002) Loss 1.8285 (1.6772) Prec@1 53.125 (55.146) Prec@5 83.125 (83.917) Epoch: [71][6500/11272] Time 0.689 (0.783) Data 0.001 (0.002) Loss 1.8774 (1.6773) Prec@1 50.625 (55.144) Prec@5 80.000 (83.916) Epoch: [71][6510/11272] Time 0.872 (0.783) Data 0.001 (0.002) Loss 1.7710 (1.6774) Prec@1 52.500 (55.139) Prec@5 86.875 (83.914) Epoch: [71][6520/11272] Time 0.825 (0.783) Data 0.002 (0.002) Loss 1.5187 (1.6774) Prec@1 55.000 (55.137) Prec@5 88.125 (83.914) Epoch: [71][6530/11272] Time 0.781 (0.783) Data 0.002 (0.002) Loss 1.8580 (1.6775) Prec@1 54.375 (55.134) Prec@5 80.000 (83.914) Epoch: [71][6540/11272] Time 0.758 (0.783) Data 0.002 (0.002) Loss 1.7580 (1.6775) Prec@1 56.250 (55.133) Prec@5 82.500 (83.914) Epoch: [71][6550/11272] Time 0.862 (0.783) Data 0.003 (0.002) Loss 1.5539 (1.6775) Prec@1 53.750 (55.133) Prec@5 86.250 (83.914) Epoch: [71][6560/11272] Time 0.875 (0.783) Data 0.001 (0.002) Loss 1.9787 (1.6775) Prec@1 45.625 (55.130) Prec@5 80.000 (83.913) Epoch: [71][6570/11272] Time 0.719 (0.783) Data 0.002 (0.002) Loss 1.6935 (1.6775) Prec@1 56.250 (55.130) Prec@5 81.250 (83.914) Epoch: [71][6580/11272] Time 0.756 (0.783) Data 0.001 (0.002) Loss 1.7192 (1.6775) Prec@1 52.500 (55.128) Prec@5 80.625 (83.912) Epoch: [71][6590/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.5764 (1.6776) Prec@1 58.125 (55.126) Prec@5 86.875 (83.912) Epoch: [71][6600/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.6318 (1.6775) Prec@1 53.125 (55.130) Prec@5 83.125 (83.914) Epoch: [71][6610/11272] Time 0.733 (0.783) Data 0.001 (0.002) Loss 1.7882 (1.6776) Prec@1 53.750 (55.127) Prec@5 82.500 (83.913) Epoch: [71][6620/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.6126 (1.6775) Prec@1 56.875 (55.126) Prec@5 85.625 (83.915) Epoch: [71][6630/11272] Time 0.841 (0.783) Data 0.002 (0.002) Loss 1.7908 (1.6776) Prec@1 48.750 (55.124) Prec@5 81.875 (83.914) Epoch: [71][6640/11272] Time 0.730 (0.783) Data 0.001 (0.002) Loss 1.3792 (1.6776) Prec@1 56.875 (55.125) Prec@5 88.125 (83.914) Epoch: [71][6650/11272] Time 0.730 (0.783) Data 0.001 (0.002) Loss 1.6778 (1.6776) Prec@1 51.875 (55.123) Prec@5 87.500 (83.915) Epoch: [71][6660/11272] Time 0.839 (0.783) Data 0.002 (0.002) Loss 1.6331 (1.6775) Prec@1 53.125 (55.122) Prec@5 82.500 (83.916) Epoch: [71][6670/11272] Time 0.876 (0.783) Data 0.001 (0.002) Loss 1.7546 (1.6776) Prec@1 53.125 (55.121) Prec@5 81.875 (83.915) Epoch: [71][6680/11272] Time 0.721 (0.783) Data 0.001 (0.002) Loss 1.9513 (1.6775) Prec@1 51.250 (55.121) Prec@5 80.000 (83.917) Epoch: [71][6690/11272] Time 0.753 (0.783) Data 0.001 (0.002) Loss 1.8603 (1.6775) Prec@1 47.500 (55.121) Prec@5 83.750 (83.918) Epoch: [71][6700/11272] Time 0.829 (0.783) Data 0.001 (0.002) Loss 1.8489 (1.6776) Prec@1 48.125 (55.117) Prec@5 79.375 (83.917) Epoch: [71][6710/11272] Time 0.911 (0.783) Data 0.002 (0.002) Loss 1.8140 (1.6776) Prec@1 48.750 (55.116) Prec@5 83.125 (83.917) Epoch: [71][6720/11272] Time 0.714 (0.783) Data 0.002 (0.002) Loss 1.8519 (1.6777) Prec@1 49.375 (55.113) Prec@5 83.125 (83.916) Epoch: [71][6730/11272] Time 0.738 (0.783) Data 0.002 (0.002) Loss 1.5973 (1.6777) Prec@1 60.625 (55.116) Prec@5 86.250 (83.918) Epoch: [71][6740/11272] Time 0.885 (0.783) Data 0.002 (0.002) Loss 1.6391 (1.6777) Prec@1 50.000 (55.115) Prec@5 87.500 (83.918) Epoch: [71][6750/11272] Time 0.832 (0.783) Data 0.002 (0.002) Loss 1.5852 (1.6776) Prec@1 56.875 (55.115) Prec@5 84.375 (83.918) Epoch: [71][6760/11272] Time 0.720 (0.783) Data 0.002 (0.002) Loss 1.6728 (1.6778) Prec@1 56.875 (55.114) Prec@5 86.250 (83.915) Epoch: [71][6770/11272] Time 0.866 (0.783) Data 0.002 (0.002) Loss 1.6728 (1.6778) Prec@1 54.375 (55.117) Prec@5 83.125 (83.915) Epoch: [71][6780/11272] Time 0.842 (0.783) Data 0.002 (0.002) Loss 1.7229 (1.6778) Prec@1 57.500 (55.116) Prec@5 81.875 (83.915) Epoch: [71][6790/11272] Time 0.742 (0.783) Data 0.002 (0.002) Loss 1.7106 (1.6777) Prec@1 53.125 (55.117) Prec@5 83.750 (83.915) Epoch: [71][6800/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.7389 (1.6777) Prec@1 51.875 (55.118) Prec@5 82.500 (83.913) Epoch: [71][6810/11272] Time 0.839 (0.783) Data 0.002 (0.002) Loss 1.6834 (1.6777) Prec@1 50.625 (55.116) Prec@5 81.875 (83.913) Epoch: [71][6820/11272] Time 0.849 (0.783) Data 0.002 (0.002) Loss 1.6629 (1.6777) Prec@1 55.625 (55.117) Prec@5 84.375 (83.912) Epoch: [71][6830/11272] Time 0.708 (0.783) Data 0.001 (0.002) Loss 1.6497 (1.6778) Prec@1 60.625 (55.118) Prec@5 83.750 (83.910) Epoch: [71][6840/11272] Time 0.731 (0.783) Data 0.001 (0.002) Loss 1.6209 (1.6778) Prec@1 58.750 (55.119) Prec@5 82.500 (83.911) Epoch: [71][6850/11272] Time 0.832 (0.783) Data 0.001 (0.002) Loss 1.6854 (1.6777) Prec@1 57.500 (55.117) Prec@5 84.375 (83.912) Epoch: [71][6860/11272] Time 0.840 (0.783) Data 0.001 (0.002) Loss 1.4721 (1.6778) Prec@1 60.625 (55.115) Prec@5 88.125 (83.911) Epoch: [71][6870/11272] Time 0.750 (0.783) Data 0.001 (0.002) Loss 1.6973 (1.6778) Prec@1 56.250 (55.115) Prec@5 82.500 (83.909) Epoch: [71][6880/11272] Time 0.707 (0.783) Data 0.001 (0.002) Loss 1.4717 (1.6778) Prec@1 58.750 (55.114) Prec@5 91.250 (83.910) Epoch: [71][6890/11272] Time 0.854 (0.783) Data 0.001 (0.002) Loss 1.8483 (1.6779) Prec@1 47.500 (55.110) Prec@5 83.125 (83.908) Epoch: [71][6900/11272] Time 0.711 (0.783) Data 0.001 (0.002) Loss 1.5155 (1.6779) Prec@1 56.250 (55.109) Prec@5 85.625 (83.907) Epoch: [71][6910/11272] Time 0.721 (0.783) Data 0.001 (0.002) Loss 1.8698 (1.6780) Prec@1 56.250 (55.110) Prec@5 81.250 (83.907) Epoch: [71][6920/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.6014 (1.6780) Prec@1 56.875 (55.112) Prec@5 86.250 (83.907) Epoch: [71][6930/11272] Time 0.831 (0.783) Data 0.002 (0.002) Loss 1.4856 (1.6779) Prec@1 62.500 (55.116) Prec@5 90.000 (83.909) Epoch: [71][6940/11272] Time 0.707 (0.783) Data 0.001 (0.002) Loss 2.0140 (1.6780) Prec@1 44.375 (55.111) Prec@5 80.000 (83.907) Epoch: [71][6950/11272] Time 0.732 (0.783) Data 0.001 (0.002) Loss 1.5618 (1.6780) Prec@1 56.250 (55.111) Prec@5 88.750 (83.907) Epoch: [71][6960/11272] Time 0.837 (0.783) Data 0.001 (0.002) Loss 1.7741 (1.6782) Prec@1 53.125 (55.109) Prec@5 81.875 (83.904) Epoch: [71][6970/11272] Time 0.878 (0.783) Data 0.002 (0.002) Loss 1.8665 (1.6782) Prec@1 53.750 (55.106) Prec@5 78.125 (83.903) Epoch: [71][6980/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.8084 (1.6783) Prec@1 54.375 (55.106) Prec@5 81.875 (83.900) Epoch: [71][6990/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.6028 (1.6783) Prec@1 55.625 (55.107) Prec@5 85.000 (83.902) Epoch: [71][7000/11272] Time 0.817 (0.783) Data 0.001 (0.002) Loss 1.7533 (1.6783) Prec@1 55.000 (55.106) Prec@5 83.125 (83.902) Epoch: [71][7010/11272] Time 0.813 (0.783) Data 0.001 (0.002) Loss 1.8684 (1.6783) Prec@1 49.375 (55.105) Prec@5 80.000 (83.903) Epoch: [71][7020/11272] Time 0.712 (0.783) Data 0.001 (0.002) Loss 1.6952 (1.6783) Prec@1 54.375 (55.104) Prec@5 87.500 (83.903) Epoch: [71][7030/11272] Time 0.802 (0.783) Data 0.001 (0.002) Loss 1.6648 (1.6784) Prec@1 58.125 (55.103) Prec@5 83.125 (83.902) Epoch: [71][7040/11272] Time 0.839 (0.783) Data 0.001 (0.002) Loss 1.6307 (1.6783) Prec@1 54.375 (55.101) Prec@5 83.125 (83.904) Epoch: [71][7050/11272] Time 0.723 (0.783) Data 0.001 (0.002) Loss 1.7232 (1.6784) Prec@1 53.750 (55.100) Prec@5 86.875 (83.904) Epoch: [71][7060/11272] Time 0.705 (0.783) Data 0.001 (0.002) Loss 1.8860 (1.6783) Prec@1 48.750 (55.100) Prec@5 83.125 (83.906) Epoch: [71][7070/11272] Time 0.875 (0.783) Data 0.002 (0.002) Loss 1.7816 (1.6783) Prec@1 49.375 (55.100) Prec@5 83.750 (83.907) Epoch: [71][7080/11272] Time 0.842 (0.783) Data 0.001 (0.002) Loss 1.6547 (1.6783) Prec@1 56.875 (55.097) Prec@5 84.375 (83.907) Epoch: [71][7090/11272] Time 0.736 (0.783) Data 0.001 (0.002) Loss 1.7982 (1.6784) Prec@1 57.500 (55.096) Prec@5 81.875 (83.906) Epoch: [71][7100/11272] Time 0.722 (0.783) Data 0.001 (0.002) Loss 1.5626 (1.6784) Prec@1 55.000 (55.095) Prec@5 85.000 (83.905) Epoch: [71][7110/11272] Time 0.814 (0.783) Data 0.001 (0.002) Loss 1.4864 (1.6783) Prec@1 62.500 (55.100) Prec@5 86.250 (83.908) Epoch: [71][7120/11272] Time 0.892 (0.783) Data 0.002 (0.002) Loss 1.7403 (1.6783) Prec@1 53.125 (55.098) Prec@5 83.750 (83.908) Epoch: [71][7130/11272] Time 0.757 (0.783) Data 0.002 (0.002) Loss 1.7695 (1.6784) Prec@1 51.875 (55.095) Prec@5 80.000 (83.905) Epoch: [71][7140/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.7572 (1.6784) Prec@1 51.250 (55.094) Prec@5 81.250 (83.905) Epoch: [71][7150/11272] Time 0.817 (0.783) Data 0.001 (0.002) Loss 1.7506 (1.6785) Prec@1 49.375 (55.092) Prec@5 81.875 (83.903) Epoch: [71][7160/11272] Time 0.732 (0.783) Data 0.003 (0.002) Loss 1.5216 (1.6785) Prec@1 58.750 (55.093) Prec@5 84.375 (83.902) Epoch: [71][7170/11272] Time 0.727 (0.783) Data 0.001 (0.002) Loss 1.9133 (1.6785) Prec@1 50.000 (55.094) Prec@5 81.250 (83.903) Epoch: [71][7180/11272] Time 0.823 (0.783) Data 0.001 (0.002) Loss 1.5784 (1.6785) Prec@1 53.750 (55.093) Prec@5 86.875 (83.904) Epoch: [71][7190/11272] Time 0.818 (0.783) Data 0.002 (0.002) Loss 1.8350 (1.6785) Prec@1 53.750 (55.094) Prec@5 81.875 (83.904) Epoch: [71][7200/11272] Time 0.744 (0.783) Data 0.000 (0.002) Loss 1.5856 (1.6786) Prec@1 60.000 (55.093) Prec@5 82.500 (83.903) Epoch: [71][7210/11272] Time 0.757 (0.783) Data 0.001 (0.002) Loss 1.7413 (1.6786) Prec@1 52.500 (55.094) Prec@5 81.250 (83.902) Epoch: [71][7220/11272] Time 0.870 (0.783) Data 0.001 (0.002) Loss 1.8156 (1.6786) Prec@1 48.750 (55.093) Prec@5 83.750 (83.901) Epoch: [71][7230/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.6591 (1.6787) Prec@1 52.500 (55.093) Prec@5 86.250 (83.902) Epoch: [71][7240/11272] Time 0.718 (0.783) Data 0.003 (0.002) Loss 1.6169 (1.6788) Prec@1 62.500 (55.090) Prec@5 86.875 (83.900) Epoch: [71][7250/11272] Time 0.705 (0.783) Data 0.001 (0.002) Loss 1.6995 (1.6788) Prec@1 50.000 (55.088) Prec@5 83.750 (83.900) Epoch: [71][7260/11272] Time 0.877 (0.783) Data 0.002 (0.002) Loss 1.3667 (1.6787) Prec@1 61.250 (55.091) Prec@5 90.625 (83.902) Epoch: [71][7270/11272] Time 0.829 (0.783) Data 0.001 (0.002) Loss 1.6834 (1.6787) Prec@1 53.125 (55.090) Prec@5 81.250 (83.901) Epoch: [71][7280/11272] Time 0.735 (0.783) Data 0.001 (0.002) Loss 1.6694 (1.6789) Prec@1 53.125 (55.086) Prec@5 83.125 (83.897) Epoch: [71][7290/11272] Time 0.811 (0.783) Data 0.001 (0.002) Loss 1.4301 (1.6788) Prec@1 60.625 (55.088) Prec@5 86.250 (83.900) Epoch: [71][7300/11272] Time 0.819 (0.783) Data 0.002 (0.002) Loss 1.8685 (1.6788) Prec@1 50.000 (55.088) Prec@5 81.250 (83.900) Epoch: [71][7310/11272] Time 0.712 (0.783) Data 0.001 (0.002) Loss 1.8439 (1.6788) Prec@1 54.375 (55.089) Prec@5 78.125 (83.899) Epoch: [71][7320/11272] Time 0.704 (0.783) Data 0.001 (0.002) Loss 1.7745 (1.6788) Prec@1 52.500 (55.092) Prec@5 85.000 (83.901) Epoch: [71][7330/11272] Time 0.824 (0.783) Data 0.002 (0.002) Loss 1.6168 (1.6787) Prec@1 56.875 (55.094) Prec@5 82.500 (83.901) Epoch: [71][7340/11272] Time 0.836 (0.783) Data 0.002 (0.002) Loss 1.7486 (1.6786) Prec@1 52.500 (55.096) Prec@5 78.750 (83.902) Epoch: [71][7350/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.7344 (1.6787) Prec@1 53.125 (55.097) Prec@5 81.875 (83.901) Epoch: [71][7360/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.5773 (1.6787) Prec@1 56.875 (55.095) Prec@5 81.250 (83.899) Epoch: [71][7370/11272] Time 0.853 (0.783) Data 0.001 (0.002) Loss 1.4800 (1.6787) Prec@1 58.750 (55.094) Prec@5 85.000 (83.899) Epoch: [71][7380/11272] Time 0.812 (0.783) Data 0.001 (0.002) Loss 1.7328 (1.6787) Prec@1 51.250 (55.094) Prec@5 80.000 (83.900) Epoch: [71][7390/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.8407 (1.6787) Prec@1 50.000 (55.092) Prec@5 80.625 (83.900) Epoch: [71][7400/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 1.7251 (1.6786) Prec@1 54.375 (55.094) Prec@5 85.625 (83.902) Epoch: [71][7410/11272] Time 0.865 (0.783) Data 0.002 (0.002) Loss 1.7615 (1.6787) Prec@1 53.750 (55.091) Prec@5 81.875 (83.899) Epoch: [71][7420/11272] Time 0.768 (0.783) Data 0.004 (0.002) Loss 1.6818 (1.6787) Prec@1 55.000 (55.090) Prec@5 83.750 (83.898) Epoch: [71][7430/11272] Time 0.700 (0.783) Data 0.000 (0.002) Loss 1.6472 (1.6788) Prec@1 55.000 (55.090) Prec@5 86.250 (83.898) Epoch: [71][7440/11272] Time 0.810 (0.783) Data 0.002 (0.002) Loss 1.7856 (1.6789) Prec@1 55.625 (55.089) Prec@5 82.500 (83.896) Epoch: [71][7450/11272] Time 0.856 (0.783) Data 0.002 (0.002) Loss 1.6143 (1.6789) Prec@1 56.250 (55.089) Prec@5 81.250 (83.897) Epoch: [71][7460/11272] Time 0.754 (0.783) Data 0.002 (0.002) Loss 1.8308 (1.6790) Prec@1 50.625 (55.086) Prec@5 80.625 (83.894) Epoch: [71][7470/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.8126 (1.6789) Prec@1 54.375 (55.088) Prec@5 85.625 (83.896) Epoch: [71][7480/11272] Time 0.844 (0.783) Data 0.002 (0.002) Loss 1.7544 (1.6789) Prec@1 56.250 (55.088) Prec@5 81.875 (83.897) Epoch: [71][7490/11272] Time 0.841 (0.783) Data 0.002 (0.002) Loss 1.8800 (1.6789) Prec@1 48.750 (55.087) Prec@5 81.250 (83.897) Epoch: [71][7500/11272] Time 0.712 (0.783) Data 0.001 (0.002) Loss 1.7373 (1.6789) Prec@1 57.500 (55.088) Prec@5 83.125 (83.896) Epoch: [71][7510/11272] Time 0.720 (0.783) Data 0.001 (0.002) Loss 1.7011 (1.6790) Prec@1 52.500 (55.087) Prec@5 84.375 (83.894) Epoch: [71][7520/11272] Time 0.858 (0.783) Data 0.002 (0.002) Loss 1.5761 (1.6790) Prec@1 53.750 (55.086) Prec@5 88.125 (83.894) Epoch: [71][7530/11272] Time 0.889 (0.783) Data 0.002 (0.002) Loss 1.7624 (1.6790) Prec@1 51.875 (55.084) Prec@5 81.250 (83.894) Epoch: [71][7540/11272] Time 0.718 (0.783) Data 0.001 (0.002) Loss 1.8734 (1.6790) Prec@1 49.375 (55.084) Prec@5 83.125 (83.894) Epoch: [71][7550/11272] Time 0.787 (0.783) Data 0.001 (0.002) Loss 1.3809 (1.6790) Prec@1 65.000 (55.085) Prec@5 86.250 (83.892) Epoch: [71][7560/11272] Time 0.826 (0.783) Data 0.001 (0.002) Loss 1.6048 (1.6791) Prec@1 55.000 (55.084) Prec@5 86.250 (83.892) Epoch: [71][7570/11272] Time 0.741 (0.783) Data 0.001 (0.002) Loss 1.5265 (1.6791) Prec@1 59.375 (55.085) Prec@5 86.875 (83.891) Epoch: [71][7580/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.7466 (1.6791) Prec@1 57.500 (55.084) Prec@5 81.250 (83.889) Epoch: [71][7590/11272] Time 0.816 (0.783) Data 0.001 (0.002) Loss 1.6656 (1.6791) Prec@1 53.750 (55.086) Prec@5 83.750 (83.891) Epoch: [71][7600/11272] Time 0.828 (0.783) Data 0.001 (0.002) Loss 1.5480 (1.6790) Prec@1 57.500 (55.088) Prec@5 85.000 (83.892) Epoch: [71][7610/11272] Time 0.694 (0.783) Data 0.001 (0.002) Loss 1.6044 (1.6791) Prec@1 59.375 (55.086) Prec@5 86.250 (83.891) Epoch: [71][7620/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.7152 (1.6791) Prec@1 54.375 (55.090) Prec@5 85.625 (83.892) Epoch: [71][7630/11272] Time 0.872 (0.783) Data 0.002 (0.002) Loss 1.7395 (1.6791) Prec@1 55.000 (55.087) Prec@5 83.750 (83.892) Epoch: [71][7640/11272] Time 0.844 (0.783) Data 0.002 (0.002) Loss 1.8474 (1.6791) Prec@1 53.125 (55.087) Prec@5 80.625 (83.892) Epoch: [71][7650/11272] Time 0.720 (0.783) Data 0.001 (0.002) Loss 1.8774 (1.6791) Prec@1 50.000 (55.090) Prec@5 83.750 (83.895) Epoch: [71][7660/11272] Time 0.718 (0.783) Data 0.001 (0.002) Loss 1.8268 (1.6791) Prec@1 54.375 (55.090) Prec@5 81.250 (83.894) Epoch: [71][7670/11272] Time 0.843 (0.783) Data 0.002 (0.002) Loss 1.6357 (1.6792) Prec@1 55.000 (55.087) Prec@5 86.250 (83.893) Epoch: [71][7680/11272] Time 0.848 (0.783) Data 0.001 (0.002) Loss 1.5470 (1.6792) Prec@1 56.875 (55.087) Prec@5 86.875 (83.892) Epoch: [71][7690/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.7139 (1.6792) Prec@1 55.625 (55.088) Prec@5 85.625 (83.895) Epoch: [71][7700/11272] Time 0.836 (0.783) Data 0.002 (0.002) Loss 1.9157 (1.6792) Prec@1 50.625 (55.087) Prec@5 81.875 (83.894) Epoch: [71][7710/11272] Time 0.841 (0.783) Data 0.002 (0.002) Loss 1.5923 (1.6792) Prec@1 61.250 (55.088) Prec@5 86.875 (83.896) Epoch: [71][7720/11272] Time 0.741 (0.783) Data 0.002 (0.002) Loss 1.7120 (1.6792) Prec@1 51.250 (55.086) Prec@5 84.375 (83.896) Epoch: [71][7730/11272] Time 0.754 (0.783) Data 0.001 (0.002) Loss 1.6318 (1.6792) Prec@1 58.125 (55.086) Prec@5 82.500 (83.897) Epoch: [71][7740/11272] Time 0.824 (0.783) Data 0.001 (0.002) Loss 1.4993 (1.6792) Prec@1 55.625 (55.085) Prec@5 88.125 (83.897) Epoch: [71][7750/11272] Time 0.838 (0.783) Data 0.001 (0.002) Loss 1.6756 (1.6791) Prec@1 56.875 (55.087) Prec@5 80.625 (83.897) Epoch: [71][7760/11272] Time 0.733 (0.783) Data 0.001 (0.002) Loss 1.7865 (1.6791) Prec@1 53.125 (55.088) Prec@5 83.125 (83.898) Epoch: [71][7770/11272] Time 0.731 (0.783) Data 0.001 (0.002) Loss 1.6617 (1.6792) Prec@1 55.625 (55.089) Prec@5 85.000 (83.897) Epoch: [71][7780/11272] Time 0.823 (0.783) Data 0.001 (0.002) Loss 1.5326 (1.6791) Prec@1 60.625 (55.090) Prec@5 87.500 (83.898) Epoch: [71][7790/11272] Time 0.859 (0.783) Data 0.001 (0.002) Loss 1.6063 (1.6791) Prec@1 56.875 (55.091) Prec@5 84.375 (83.898) Epoch: [71][7800/11272] Time 0.723 (0.783) Data 0.001 (0.002) Loss 1.6483 (1.6791) Prec@1 56.875 (55.090) Prec@5 81.875 (83.896) Epoch: [71][7810/11272] Time 0.722 (0.783) Data 0.001 (0.002) Loss 1.5595 (1.6792) Prec@1 60.625 (55.087) Prec@5 88.750 (83.895) Epoch: [71][7820/11272] Time 0.816 (0.783) Data 0.001 (0.002) Loss 1.9507 (1.6793) Prec@1 49.375 (55.087) Prec@5 80.000 (83.895) Epoch: [71][7830/11272] Time 0.694 (0.783) Data 0.001 (0.002) Loss 1.5094 (1.6793) Prec@1 61.250 (55.086) Prec@5 89.375 (83.897) Epoch: [71][7840/11272] Time 0.714 (0.783) Data 0.001 (0.002) Loss 1.7136 (1.6793) Prec@1 53.125 (55.085) Prec@5 83.750 (83.897) Epoch: [71][7850/11272] Time 0.842 (0.783) Data 0.001 (0.002) Loss 1.7347 (1.6793) Prec@1 51.250 (55.084) Prec@5 83.125 (83.897) Epoch: [71][7860/11272] Time 0.828 (0.783) Data 0.002 (0.002) Loss 1.5356 (1.6792) Prec@1 55.625 (55.084) Prec@5 88.125 (83.897) Epoch: [71][7870/11272] Time 0.706 (0.783) Data 0.001 (0.002) Loss 1.5919 (1.6793) Prec@1 53.750 (55.084) Prec@5 86.875 (83.898) Epoch: [71][7880/11272] Time 0.724 (0.783) Data 0.001 (0.002) Loss 1.6339 (1.6793) Prec@1 56.250 (55.084) Prec@5 85.000 (83.898) Epoch: [71][7890/11272] Time 0.857 (0.783) Data 0.002 (0.002) Loss 1.7976 (1.6793) Prec@1 46.250 (55.083) Prec@5 81.250 (83.895) Epoch: [71][7900/11272] Time 0.854 (0.783) Data 0.002 (0.002) Loss 1.8148 (1.6793) Prec@1 55.000 (55.085) Prec@5 82.500 (83.896) Epoch: [71][7910/11272] Time 0.702 (0.783) Data 0.001 (0.002) Loss 1.6555 (1.6793) Prec@1 56.250 (55.084) Prec@5 81.250 (83.896) Epoch: [71][7920/11272] Time 0.720 (0.783) Data 0.001 (0.002) Loss 1.8869 (1.6794) Prec@1 48.750 (55.083) Prec@5 75.625 (83.893) Epoch: [71][7930/11272] Time 0.834 (0.783) Data 0.001 (0.002) Loss 1.6215 (1.6794) Prec@1 56.250 (55.083) Prec@5 85.625 (83.894) Epoch: [71][7940/11272] Time 0.838 (0.783) Data 0.002 (0.002) Loss 1.7758 (1.6794) Prec@1 48.125 (55.081) Prec@5 83.750 (83.895) Epoch: [71][7950/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.7258 (1.6794) Prec@1 56.250 (55.077) Prec@5 82.500 (83.894) Epoch: [71][7960/11272] Time 0.899 (0.783) Data 0.001 (0.002) Loss 1.7589 (1.6797) Prec@1 50.000 (55.072) Prec@5 82.500 (83.889) Epoch: [71][7970/11272] Time 0.856 (0.783) Data 0.002 (0.002) Loss 1.7032 (1.6797) Prec@1 56.250 (55.072) Prec@5 85.000 (83.889) Epoch: [71][7980/11272] Time 0.745 (0.783) Data 0.002 (0.002) Loss 1.7788 (1.6797) Prec@1 51.250 (55.074) Prec@5 79.375 (83.889) Epoch: [71][7990/11272] Time 0.715 (0.783) Data 0.001 (0.002) Loss 1.7150 (1.6797) Prec@1 56.250 (55.074) Prec@5 84.375 (83.889) Epoch: [71][8000/11272] Time 0.827 (0.783) Data 0.001 (0.002) Loss 1.7969 (1.6797) Prec@1 50.625 (55.075) Prec@5 82.500 (83.890) Epoch: [71][8010/11272] Time 0.850 (0.783) Data 0.001 (0.002) Loss 1.7765 (1.6798) Prec@1 48.750 (55.072) Prec@5 84.375 (83.887) Epoch: [71][8020/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.4174 (1.6798) Prec@1 60.625 (55.072) Prec@5 87.500 (83.887) Epoch: [71][8030/11272] Time 0.740 (0.783) Data 0.001 (0.002) Loss 1.6254 (1.6798) Prec@1 58.750 (55.072) Prec@5 83.750 (83.888) Epoch: [71][8040/11272] Time 0.852 (0.783) Data 0.002 (0.002) Loss 1.7118 (1.6797) Prec@1 52.500 (55.074) Prec@5 85.000 (83.889) Epoch: [71][8050/11272] Time 0.856 (0.783) Data 0.002 (0.002) Loss 1.8951 (1.6797) Prec@1 53.125 (55.074) Prec@5 79.375 (83.890) Epoch: [71][8060/11272] Time 0.695 (0.783) Data 0.001 (0.002) Loss 1.8365 (1.6798) Prec@1 53.125 (55.073) Prec@5 81.250 (83.889) Epoch: [71][8070/11272] Time 0.726 (0.783) Data 0.001 (0.002) Loss 1.6421 (1.6799) Prec@1 53.125 (55.070) Prec@5 85.625 (83.886) Epoch: [71][8080/11272] Time 0.812 (0.783) Data 0.001 (0.002) Loss 1.9614 (1.6799) Prec@1 51.250 (55.069) Prec@5 80.625 (83.885) Epoch: [71][8090/11272] Time 0.788 (0.783) Data 0.004 (0.002) Loss 1.5149 (1.6800) Prec@1 55.625 (55.067) Prec@5 86.250 (83.884) Epoch: [71][8100/11272] Time 0.716 (0.783) Data 0.001 (0.002) Loss 1.7454 (1.6799) Prec@1 46.875 (55.067) Prec@5 86.875 (83.885) Epoch: [71][8110/11272] Time 0.842 (0.783) Data 0.001 (0.002) Loss 1.4267 (1.6798) Prec@1 60.625 (55.068) Prec@5 88.125 (83.885) Epoch: [71][8120/11272] Time 0.828 (0.783) Data 0.002 (0.002) Loss 1.5709 (1.6798) Prec@1 63.125 (55.071) Prec@5 83.750 (83.886) Epoch: [71][8130/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.9465 (1.6799) Prec@1 51.875 (55.070) Prec@5 79.375 (83.885) Epoch: [71][8140/11272] Time 0.741 (0.783) Data 0.001 (0.002) Loss 1.6725 (1.6799) Prec@1 56.250 (55.070) Prec@5 85.000 (83.884) Epoch: [71][8150/11272] Time 0.825 (0.783) Data 0.002 (0.002) Loss 1.5949 (1.6798) Prec@1 55.625 (55.073) Prec@5 82.500 (83.886) Epoch: [71][8160/11272] Time 0.826 (0.783) Data 0.001 (0.002) Loss 1.6853 (1.6797) Prec@1 56.250 (55.074) Prec@5 85.625 (83.887) Epoch: [71][8170/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.6509 (1.6798) Prec@1 60.625 (55.075) Prec@5 85.000 (83.886) Epoch: [71][8180/11272] Time 0.712 (0.783) Data 0.001 (0.002) Loss 1.8479 (1.6798) Prec@1 51.875 (55.074) Prec@5 76.875 (83.886) Epoch: [71][8190/11272] Time 0.843 (0.783) Data 0.002 (0.002) Loss 1.4783 (1.6797) Prec@1 60.625 (55.076) Prec@5 86.875 (83.887) Epoch: [71][8200/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.9912 (1.6797) Prec@1 46.250 (55.078) Prec@5 78.750 (83.887) Epoch: [71][8210/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 2.0210 (1.6797) Prec@1 44.375 (55.078) Prec@5 80.625 (83.887) Epoch: [71][8220/11272] Time 0.795 (0.783) Data 0.001 (0.002) Loss 1.6191 (1.6796) Prec@1 57.500 (55.080) Prec@5 84.375 (83.889) Epoch: [71][8230/11272] Time 0.827 (0.783) Data 0.001 (0.002) Loss 1.6943 (1.6796) Prec@1 58.750 (55.083) Prec@5 84.375 (83.890) Epoch: [71][8240/11272] Time 0.706 (0.783) Data 0.001 (0.002) Loss 1.4236 (1.6795) Prec@1 61.875 (55.083) Prec@5 87.500 (83.889) Epoch: [71][8250/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.8625 (1.6795) Prec@1 52.500 (55.083) Prec@5 85.625 (83.890) Epoch: [71][8260/11272] Time 0.852 (0.783) Data 0.001 (0.002) Loss 1.6391 (1.6796) Prec@1 53.750 (55.079) Prec@5 86.875 (83.888) Epoch: [71][8270/11272] Time 0.833 (0.783) Data 0.001 (0.002) Loss 1.7278 (1.6797) Prec@1 52.500 (55.076) Prec@5 87.500 (83.889) Epoch: [71][8280/11272] Time 0.708 (0.783) Data 0.001 (0.002) Loss 1.7566 (1.6797) Prec@1 54.375 (55.076) Prec@5 80.000 (83.888) Epoch: [71][8290/11272] Time 0.689 (0.783) Data 0.001 (0.002) Loss 1.5961 (1.6797) Prec@1 61.250 (55.076) Prec@5 83.750 (83.887) Epoch: [71][8300/11272] Time 0.808 (0.783) Data 0.001 (0.002) Loss 1.5344 (1.6796) Prec@1 55.000 (55.080) Prec@5 91.875 (83.890) Epoch: [71][8310/11272] Time 0.861 (0.783) Data 0.002 (0.002) Loss 1.5363 (1.6795) Prec@1 56.875 (55.082) Prec@5 88.125 (83.891) Epoch: [71][8320/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.5991 (1.6795) Prec@1 58.750 (55.084) Prec@5 84.375 (83.891) Epoch: [71][8330/11272] Time 0.731 (0.783) Data 0.002 (0.002) Loss 1.6928 (1.6795) Prec@1 57.500 (55.085) Prec@5 83.125 (83.891) Epoch: [71][8340/11272] Time 0.842 (0.783) Data 0.002 (0.002) Loss 1.9748 (1.6795) Prec@1 51.875 (55.084) Prec@5 78.750 (83.892) Epoch: [71][8350/11272] Time 0.757 (0.783) Data 0.003 (0.002) Loss 1.8406 (1.6796) Prec@1 56.875 (55.082) Prec@5 81.250 (83.890) Epoch: [71][8360/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.7671 (1.6796) Prec@1 51.250 (55.079) Prec@5 85.000 (83.889) Epoch: [71][8370/11272] Time 0.847 (0.783) Data 0.002 (0.002) Loss 1.9667 (1.6797) Prec@1 51.250 (55.077) Prec@5 81.250 (83.888) Epoch: [71][8380/11272] Time 0.849 (0.783) Data 0.002 (0.002) Loss 1.6983 (1.6798) Prec@1 53.750 (55.075) Prec@5 83.750 (83.885) Epoch: [71][8390/11272] Time 0.721 (0.783) Data 0.001 (0.002) Loss 1.5717 (1.6798) Prec@1 61.875 (55.075) Prec@5 85.000 (83.887) Epoch: [71][8400/11272] Time 0.702 (0.783) Data 0.002 (0.002) Loss 1.6851 (1.6797) Prec@1 54.375 (55.077) Prec@5 83.125 (83.888) Epoch: [71][8410/11272] Time 0.847 (0.783) Data 0.002 (0.002) Loss 1.5395 (1.6798) Prec@1 58.125 (55.075) Prec@5 85.625 (83.887) Epoch: [71][8420/11272] Time 0.819 (0.783) Data 0.001 (0.002) Loss 1.8719 (1.6798) Prec@1 52.500 (55.074) Prec@5 83.750 (83.887) Epoch: [71][8430/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.6714 (1.6797) Prec@1 50.000 (55.075) Prec@5 88.125 (83.889) Epoch: [71][8440/11272] Time 0.731 (0.783) Data 0.002 (0.002) Loss 1.6116 (1.6797) Prec@1 60.000 (55.076) Prec@5 84.375 (83.890) Epoch: [71][8450/11272] Time 0.829 (0.783) Data 0.002 (0.002) Loss 1.6985 (1.6797) Prec@1 50.625 (55.075) Prec@5 85.000 (83.890) Epoch: [71][8460/11272] Time 0.819 (0.783) Data 0.002 (0.002) Loss 1.8604 (1.6797) Prec@1 55.000 (55.074) Prec@5 80.625 (83.889) Epoch: [71][8470/11272] Time 0.741 (0.783) Data 0.001 (0.002) Loss 1.7308 (1.6798) Prec@1 55.000 (55.075) Prec@5 81.250 (83.887) Epoch: [71][8480/11272] Time 0.782 (0.783) Data 0.001 (0.002) Loss 1.4697 (1.6798) Prec@1 61.875 (55.075) Prec@5 86.875 (83.887) Epoch: [71][8490/11272] Time 0.811 (0.783) Data 0.001 (0.002) Loss 1.6787 (1.6798) Prec@1 55.625 (55.074) Prec@5 85.625 (83.889) Epoch: [71][8500/11272] Time 0.779 (0.783) Data 0.002 (0.002) Loss 1.7891 (1.6798) Prec@1 48.125 (55.074) Prec@5 83.750 (83.890) Epoch: [71][8510/11272] Time 0.701 (0.783) Data 0.001 (0.002) Loss 1.8303 (1.6798) Prec@1 50.625 (55.074) Prec@5 78.125 (83.888) Epoch: [71][8520/11272] Time 0.833 (0.783) Data 0.001 (0.002) Loss 1.5468 (1.6798) Prec@1 57.500 (55.075) Prec@5 88.125 (83.888) Epoch: [71][8530/11272] Time 0.797 (0.783) Data 0.001 (0.002) Loss 1.6853 (1.6800) Prec@1 55.625 (55.073) Prec@5 86.250 (83.885) Epoch: [71][8540/11272] Time 0.722 (0.783) Data 0.002 (0.002) Loss 1.7915 (1.6800) Prec@1 53.750 (55.073) Prec@5 81.875 (83.884) Epoch: [71][8550/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.6713 (1.6801) Prec@1 56.250 (55.071) Prec@5 87.500 (83.883) Epoch: [71][8560/11272] Time 0.855 (0.783) Data 0.001 (0.002) Loss 1.5674 (1.6801) Prec@1 56.250 (55.071) Prec@5 86.250 (83.882) Epoch: [71][8570/11272] Time 0.839 (0.783) Data 0.002 (0.002) Loss 1.8361 (1.6802) Prec@1 51.250 (55.071) Prec@5 80.000 (83.881) Epoch: [71][8580/11272] Time 0.712 (0.783) Data 0.001 (0.002) Loss 1.4769 (1.6802) Prec@1 59.375 (55.071) Prec@5 88.750 (83.882) Epoch: [71][8590/11272] Time 0.711 (0.783) Data 0.002 (0.002) Loss 1.8891 (1.6801) Prec@1 48.750 (55.073) Prec@5 83.125 (83.883) Epoch: [71][8600/11272] Time 0.781 (0.783) Data 0.001 (0.002) Loss 1.8415 (1.6803) Prec@1 52.500 (55.070) Prec@5 81.875 (83.879) Epoch: [71][8610/11272] Time 0.896 (0.783) Data 0.002 (0.002) Loss 1.4955 (1.6802) Prec@1 60.000 (55.070) Prec@5 86.875 (83.881) Epoch: [71][8620/11272] Time 0.700 (0.783) Data 0.001 (0.002) Loss 1.6409 (1.6802) Prec@1 55.625 (55.068) Prec@5 83.125 (83.881) Epoch: [71][8630/11272] Time 0.894 (0.783) Data 0.001 (0.002) Loss 1.6064 (1.6802) Prec@1 58.750 (55.069) Prec@5 86.875 (83.881) Epoch: [71][8640/11272] Time 0.872 (0.783) Data 0.002 (0.002) Loss 1.4583 (1.6803) Prec@1 57.500 (55.066) Prec@5 88.125 (83.880) Epoch: [71][8650/11272] Time 0.720 (0.783) Data 0.002 (0.002) Loss 1.5677 (1.6803) Prec@1 51.875 (55.067) Prec@5 86.250 (83.880) Epoch: [71][8660/11272] Time 0.740 (0.783) Data 0.001 (0.002) Loss 1.8696 (1.6803) Prec@1 48.125 (55.065) Prec@5 80.625 (83.879) Epoch: [71][8670/11272] Time 0.825 (0.783) Data 0.001 (0.002) Loss 1.8210 (1.6803) Prec@1 49.375 (55.066) Prec@5 80.000 (83.880) Epoch: [71][8680/11272] Time 0.821 (0.783) Data 0.001 (0.002) Loss 1.5991 (1.6802) Prec@1 56.250 (55.066) Prec@5 82.500 (83.881) Epoch: [71][8690/11272] Time 0.704 (0.783) Data 0.001 (0.002) Loss 1.6552 (1.6803) Prec@1 52.500 (55.066) Prec@5 85.000 (83.881) Epoch: [71][8700/11272] Time 0.709 (0.783) Data 0.001 (0.002) Loss 1.7260 (1.6803) Prec@1 51.875 (55.065) Prec@5 85.625 (83.880) Epoch: [71][8710/11272] Time 0.837 (0.783) Data 0.002 (0.002) Loss 1.6258 (1.6804) Prec@1 53.750 (55.063) Prec@5 85.625 (83.880) Epoch: [71][8720/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.6811 (1.6804) Prec@1 56.875 (55.060) Prec@5 81.875 (83.878) Epoch: [71][8730/11272] Time 0.704 (0.783) Data 0.001 (0.002) Loss 1.4305 (1.6804) Prec@1 61.250 (55.060) Prec@5 90.000 (83.878) Epoch: [71][8740/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.7734 (1.6804) Prec@1 52.500 (55.059) Prec@5 84.375 (83.879) Epoch: [71][8750/11272] Time 0.842 (0.783) Data 0.002 (0.002) Loss 1.8032 (1.6804) Prec@1 53.750 (55.059) Prec@5 80.625 (83.880) Epoch: [71][8760/11272] Time 0.715 (0.783) Data 0.001 (0.002) Loss 1.6691 (1.6804) Prec@1 56.250 (55.059) Prec@5 86.875 (83.881) Epoch: [71][8770/11272] Time 0.701 (0.783) Data 0.001 (0.002) Loss 1.6959 (1.6804) Prec@1 54.375 (55.060) Prec@5 82.500 (83.881) Epoch: [71][8780/11272] Time 0.814 (0.783) Data 0.001 (0.002) Loss 1.7616 (1.6804) Prec@1 53.125 (55.059) Prec@5 81.250 (83.879) Epoch: [71][8790/11272] Time 0.867 (0.783) Data 0.002 (0.002) Loss 1.7164 (1.6803) Prec@1 56.250 (55.061) Prec@5 82.500 (83.880) Epoch: [71][8800/11272] Time 0.743 (0.783) Data 0.003 (0.002) Loss 1.6287 (1.6803) Prec@1 50.000 (55.060) Prec@5 85.625 (83.879) Epoch: [71][8810/11272] Time 0.714 (0.783) Data 0.001 (0.002) Loss 1.6340 (1.6803) Prec@1 54.375 (55.061) Prec@5 82.500 (83.880) Epoch: [71][8820/11272] Time 0.807 (0.783) Data 0.002 (0.002) Loss 1.7340 (1.6804) Prec@1 50.625 (55.058) Prec@5 81.250 (83.878) Epoch: [71][8830/11272] Time 0.852 (0.783) Data 0.002 (0.002) Loss 1.6860 (1.6804) Prec@1 53.750 (55.056) Prec@5 85.000 (83.878) Epoch: [71][8840/11272] Time 0.702 (0.783) Data 0.001 (0.002) Loss 1.5291 (1.6804) Prec@1 56.250 (55.057) Prec@5 86.875 (83.878) Epoch: [71][8850/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.6387 (1.6804) Prec@1 55.000 (55.058) Prec@5 81.875 (83.877) Epoch: [71][8860/11272] Time 0.889 (0.783) Data 0.001 (0.002) Loss 1.7137 (1.6804) Prec@1 51.875 (55.057) Prec@5 81.875 (83.876) Epoch: [71][8870/11272] Time 0.842 (0.783) Data 0.002 (0.002) Loss 1.7929 (1.6803) Prec@1 53.125 (55.057) Prec@5 84.375 (83.878) Epoch: [71][8880/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.7190 (1.6804) Prec@1 59.375 (55.059) Prec@5 81.875 (83.877) Epoch: [71][8890/11272] Time 0.809 (0.783) Data 0.002 (0.002) Loss 1.6089 (1.6803) Prec@1 58.750 (55.061) Prec@5 85.000 (83.879) Epoch: [71][8900/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.6592 (1.6802) Prec@1 55.000 (55.060) Prec@5 83.125 (83.880) Epoch: [71][8910/11272] Time 0.695 (0.783) Data 0.001 (0.002) Loss 1.5728 (1.6802) Prec@1 54.375 (55.061) Prec@5 85.000 (83.880) Epoch: [71][8920/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.6999 (1.6802) Prec@1 50.625 (55.060) Prec@5 82.500 (83.879) Epoch: [71][8930/11272] Time 0.813 (0.783) Data 0.002 (0.002) Loss 1.6633 (1.6802) Prec@1 58.125 (55.060) Prec@5 80.625 (83.879) Epoch: [71][8940/11272] Time 0.847 (0.783) Data 0.001 (0.002) Loss 1.4646 (1.6802) Prec@1 57.500 (55.060) Prec@5 88.750 (83.881) Epoch: [71][8950/11272] Time 0.686 (0.783) Data 0.001 (0.002) Loss 1.7585 (1.6802) Prec@1 54.375 (55.060) Prec@5 84.375 (83.881) Epoch: [71][8960/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.6077 (1.6802) Prec@1 58.125 (55.061) Prec@5 82.500 (83.882) Epoch: [71][8970/11272] Time 0.864 (0.783) Data 0.002 (0.002) Loss 1.7400 (1.6801) Prec@1 50.625 (55.059) Prec@5 82.500 (83.882) Epoch: [71][8980/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.5797 (1.6801) Prec@1 55.000 (55.060) Prec@5 85.000 (83.882) Epoch: [71][8990/11272] Time 0.718 (0.783) Data 0.001 (0.002) Loss 1.7694 (1.6801) Prec@1 51.875 (55.058) Prec@5 81.875 (83.882) Epoch: [71][9000/11272] Time 0.716 (0.783) Data 0.001 (0.002) Loss 1.6408 (1.6800) Prec@1 51.250 (55.060) Prec@5 85.625 (83.884) Epoch: [71][9010/11272] Time 0.837 (0.783) Data 0.002 (0.002) Loss 1.6954 (1.6800) Prec@1 58.125 (55.060) Prec@5 82.500 (83.884) Epoch: [71][9020/11272] Time 0.757 (0.783) Data 0.003 (0.002) Loss 1.8439 (1.6800) Prec@1 49.375 (55.059) Prec@5 83.125 (83.884) Epoch: [71][9030/11272] Time 0.726 (0.783) Data 0.001 (0.002) Loss 1.4363 (1.6800) Prec@1 53.750 (55.058) Prec@5 88.750 (83.882) Epoch: [71][9040/11272] Time 0.817 (0.783) Data 0.001 (0.002) Loss 1.7262 (1.6802) Prec@1 58.125 (55.056) Prec@5 82.500 (83.880) Epoch: [71][9050/11272] Time 0.858 (0.783) Data 0.002 (0.002) Loss 1.5154 (1.6802) Prec@1 58.750 (55.057) Prec@5 87.500 (83.880) Epoch: [71][9060/11272] Time 0.717 (0.783) Data 0.003 (0.002) Loss 1.8159 (1.6801) Prec@1 48.125 (55.058) Prec@5 81.875 (83.880) Epoch: [71][9070/11272] Time 0.741 (0.783) Data 0.001 (0.002) Loss 1.3893 (1.6800) Prec@1 62.500 (55.061) Prec@5 91.250 (83.883) Epoch: [71][9080/11272] Time 0.839 (0.783) Data 0.001 (0.002) Loss 1.5264 (1.6799) Prec@1 58.750 (55.063) Prec@5 85.000 (83.884) Epoch: [71][9090/11272] Time 0.852 (0.783) Data 0.002 (0.002) Loss 1.5963 (1.6799) Prec@1 54.375 (55.063) Prec@5 86.250 (83.883) Epoch: [71][9100/11272] Time 0.702 (0.783) Data 0.001 (0.002) Loss 1.7140 (1.6799) Prec@1 51.250 (55.065) Prec@5 86.875 (83.883) Epoch: [71][9110/11272] Time 0.731 (0.783) Data 0.001 (0.002) Loss 1.6873 (1.6799) Prec@1 57.500 (55.066) Prec@5 83.125 (83.884) Epoch: [71][9120/11272] Time 0.834 (0.783) Data 0.002 (0.002) Loss 1.7079 (1.6799) Prec@1 51.250 (55.067) Prec@5 83.125 (83.884) Epoch: [71][9130/11272] Time 0.887 (0.783) Data 0.002 (0.002) Loss 1.5395 (1.6799) Prec@1 57.500 (55.068) Prec@5 85.000 (83.883) Epoch: [71][9140/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.5594 (1.6798) Prec@1 58.125 (55.071) Prec@5 86.875 (83.886) Epoch: [71][9150/11272] Time 0.841 (0.783) Data 0.002 (0.002) Loss 1.6066 (1.6798) Prec@1 54.375 (55.072) Prec@5 85.625 (83.886) Epoch: [71][9160/11272] Time 0.837 (0.783) Data 0.002 (0.002) Loss 1.6211 (1.6798) Prec@1 60.000 (55.072) Prec@5 85.625 (83.887) Epoch: [71][9170/11272] Time 0.743 (0.783) Data 0.001 (0.002) Loss 1.6193 (1.6797) Prec@1 58.750 (55.072) Prec@5 85.625 (83.888) Epoch: [71][9180/11272] Time 0.727 (0.783) Data 0.001 (0.002) Loss 1.6656 (1.6798) Prec@1 56.250 (55.071) Prec@5 80.000 (83.888) Epoch: [71][9190/11272] Time 0.844 (0.783) Data 0.002 (0.002) Loss 1.5518 (1.6797) Prec@1 58.125 (55.072) Prec@5 88.125 (83.887) Epoch: [71][9200/11272] Time 0.823 (0.783) Data 0.002 (0.002) Loss 1.6790 (1.6798) Prec@1 56.250 (55.071) Prec@5 81.250 (83.886) Epoch: [71][9210/11272] Time 0.729 (0.783) Data 0.002 (0.002) Loss 1.8890 (1.6798) Prec@1 53.750 (55.071) Prec@5 80.000 (83.885) Epoch: [71][9220/11272] Time 0.705 (0.783) Data 0.001 (0.002) Loss 1.8496 (1.6798) Prec@1 53.125 (55.072) Prec@5 82.500 (83.886) Epoch: [71][9230/11272] Time 0.858 (0.783) Data 0.002 (0.002) Loss 1.5701 (1.6797) Prec@1 55.625 (55.074) Prec@5 88.125 (83.888) Epoch: [71][9240/11272] Time 0.879 (0.783) Data 0.002 (0.002) Loss 1.5515 (1.6797) Prec@1 54.375 (55.072) Prec@5 85.625 (83.888) Epoch: [71][9250/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.7521 (1.6797) Prec@1 53.125 (55.071) Prec@5 81.250 (83.888) Epoch: [71][9260/11272] Time 0.704 (0.783) Data 0.001 (0.002) Loss 1.8545 (1.6796) Prec@1 49.375 (55.072) Prec@5 81.250 (83.890) Epoch: [71][9270/11272] Time 0.831 (0.783) Data 0.001 (0.002) Loss 1.6297 (1.6796) Prec@1 57.500 (55.074) Prec@5 84.375 (83.891) Epoch: [71][9280/11272] Time 0.735 (0.783) Data 0.003 (0.002) Loss 1.8225 (1.6797) Prec@1 49.375 (55.072) Prec@5 79.375 (83.889) Epoch: [71][9290/11272] Time 0.722 (0.783) Data 0.001 (0.002) Loss 1.7897 (1.6796) Prec@1 51.250 (55.072) Prec@5 82.500 (83.889) Epoch: [71][9300/11272] Time 0.834 (0.783) Data 0.002 (0.002) Loss 1.8636 (1.6797) Prec@1 52.500 (55.072) Prec@5 82.500 (83.887) Epoch: [71][9310/11272] Time 0.830 (0.783) Data 0.001 (0.002) Loss 1.6630 (1.6797) Prec@1 53.750 (55.071) Prec@5 88.750 (83.888) Epoch: [71][9320/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.5663 (1.6797) Prec@1 60.625 (55.071) Prec@5 86.875 (83.887) Epoch: [71][9330/11272] Time 0.742 (0.783) Data 0.001 (0.002) Loss 1.6496 (1.6798) Prec@1 58.125 (55.068) Prec@5 86.250 (83.888) Epoch: [71][9340/11272] Time 0.831 (0.783) Data 0.001 (0.002) Loss 1.6398 (1.6797) Prec@1 55.000 (55.069) Prec@5 83.750 (83.887) Epoch: [71][9350/11272] Time 0.830 (0.783) Data 0.002 (0.002) Loss 1.7408 (1.6798) Prec@1 51.250 (55.068) Prec@5 83.750 (83.886) Epoch: [71][9360/11272] Time 0.720 (0.783) Data 0.001 (0.002) Loss 1.8277 (1.6799) Prec@1 48.125 (55.067) Prec@5 83.125 (83.887) Epoch: [71][9370/11272] Time 0.709 (0.783) Data 0.001 (0.002) Loss 1.6177 (1.6798) Prec@1 56.250 (55.069) Prec@5 83.750 (83.887) Epoch: [71][9380/11272] Time 0.864 (0.783) Data 0.001 (0.002) Loss 1.6222 (1.6798) Prec@1 57.500 (55.070) Prec@5 84.375 (83.887) Epoch: [71][9390/11272] Time 0.807 (0.783) Data 0.002 (0.002) Loss 1.7319 (1.6798) Prec@1 52.500 (55.070) Prec@5 85.625 (83.887) Epoch: [71][9400/11272] Time 0.710 (0.783) Data 0.001 (0.002) Loss 1.7544 (1.6798) Prec@1 56.250 (55.072) Prec@5 78.750 (83.887) Epoch: [71][9410/11272] Time 0.794 (0.783) Data 0.001 (0.002) Loss 1.7142 (1.6798) Prec@1 56.250 (55.071) Prec@5 79.375 (83.886) Epoch: [71][9420/11272] Time 0.832 (0.783) Data 0.001 (0.002) Loss 1.7439 (1.6798) Prec@1 51.250 (55.070) Prec@5 87.500 (83.887) Epoch: [71][9430/11272] Time 0.700 (0.783) Data 0.001 (0.002) Loss 1.5791 (1.6798) Prec@1 58.125 (55.070) Prec@5 85.000 (83.887) Epoch: [71][9440/11272] Time 0.716 (0.783) Data 0.001 (0.002) Loss 1.5817 (1.6798) Prec@1 54.375 (55.070) Prec@5 87.500 (83.887) Epoch: [71][9450/11272] Time 0.854 (0.783) Data 0.002 (0.002) Loss 1.7195 (1.6797) Prec@1 51.250 (55.071) Prec@5 80.625 (83.888) Epoch: [71][9460/11272] Time 0.778 (0.783) Data 0.001 (0.002) Loss 1.9259 (1.6798) Prec@1 47.500 (55.067) Prec@5 79.375 (83.886) Epoch: [71][9470/11272] Time 0.715 (0.783) Data 0.001 (0.002) Loss 1.7003 (1.6799) Prec@1 52.500 (55.067) Prec@5 85.625 (83.886) Epoch: [71][9480/11272] Time 0.686 (0.783) Data 0.001 (0.002) Loss 1.8907 (1.6799) Prec@1 48.750 (55.065) Prec@5 77.500 (83.885) Epoch: [71][9490/11272] Time 0.843 (0.783) Data 0.002 (0.002) Loss 1.9677 (1.6800) Prec@1 50.000 (55.064) Prec@5 75.000 (83.882) Epoch: [71][9500/11272] Time 0.850 (0.783) Data 0.002 (0.002) Loss 1.7945 (1.6800) Prec@1 46.250 (55.062) Prec@5 85.625 (83.882) Epoch: [71][9510/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.5005 (1.6800) Prec@1 61.875 (55.063) Prec@5 86.875 (83.882) Epoch: [71][9520/11272] Time 0.747 (0.783) Data 0.002 (0.002) Loss 1.6917 (1.6801) Prec@1 55.625 (55.062) Prec@5 83.125 (83.881) Epoch: [71][9530/11272] Time 0.889 (0.783) Data 0.002 (0.002) Loss 1.8865 (1.6801) Prec@1 51.875 (55.062) Prec@5 78.750 (83.881) Epoch: [71][9540/11272] Time 0.852 (0.783) Data 0.002 (0.002) Loss 1.5514 (1.6801) Prec@1 59.375 (55.062) Prec@5 83.750 (83.882) Epoch: [71][9550/11272] Time 0.715 (0.783) Data 0.001 (0.002) Loss 1.4436 (1.6800) Prec@1 56.875 (55.064) Prec@5 87.500 (83.883) Epoch: [71][9560/11272] Time 0.835 (0.783) Data 0.001 (0.002) Loss 1.5661 (1.6800) Prec@1 55.625 (55.062) Prec@5 88.125 (83.883) Epoch: [71][9570/11272] Time 0.829 (0.783) Data 0.002 (0.002) Loss 1.8314 (1.6800) Prec@1 51.250 (55.062) Prec@5 80.625 (83.882) Epoch: [71][9580/11272] Time 0.742 (0.783) Data 0.002 (0.002) Loss 1.7060 (1.6801) Prec@1 53.750 (55.061) Prec@5 84.375 (83.882) Epoch: [71][9590/11272] Time 0.753 (0.783) Data 0.001 (0.002) Loss 1.6896 (1.6801) Prec@1 48.750 (55.059) Prec@5 87.500 (83.882) Epoch: [71][9600/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.4462 (1.6801) Prec@1 60.000 (55.060) Prec@5 85.000 (83.882) Epoch: [71][9610/11272] Time 0.829 (0.783) Data 0.001 (0.002) Loss 1.6936 (1.6801) Prec@1 56.875 (55.061) Prec@5 83.750 (83.884) Epoch: [71][9620/11272] Time 0.703 (0.783) Data 0.001 (0.002) Loss 1.7147 (1.6801) Prec@1 57.500 (55.060) Prec@5 84.375 (83.883) Epoch: [71][9630/11272] Time 0.709 (0.783) Data 0.001 (0.002) Loss 1.5373 (1.6801) Prec@1 55.625 (55.057) Prec@5 81.250 (83.882) Epoch: [71][9640/11272] Time 0.804 (0.783) Data 0.001 (0.002) Loss 1.7143 (1.6802) Prec@1 53.750 (55.056) Prec@5 80.625 (83.881) Epoch: [71][9650/11272] Time 0.829 (0.783) Data 0.001 (0.002) Loss 1.4887 (1.6802) Prec@1 56.875 (55.055) Prec@5 83.750 (83.880) Epoch: [71][9660/11272] Time 0.737 (0.783) Data 0.002 (0.002) Loss 1.7535 (1.6803) Prec@1 48.125 (55.053) Prec@5 83.125 (83.879) Epoch: [71][9670/11272] Time 0.761 (0.783) Data 0.002 (0.002) Loss 1.6416 (1.6803) Prec@1 57.500 (55.053) Prec@5 85.625 (83.880) Epoch: [71][9680/11272] Time 0.807 (0.783) Data 0.001 (0.002) Loss 1.8217 (1.6803) Prec@1 53.125 (55.053) Prec@5 80.625 (83.880) Epoch: [71][9690/11272] Time 0.748 (0.783) Data 0.001 (0.002) Loss 2.0204 (1.6803) Prec@1 47.500 (55.051) Prec@5 81.250 (83.880) Epoch: [71][9700/11272] Time 0.701 (0.782) Data 0.001 (0.002) Loss 1.5189 (1.6804) Prec@1 62.500 (55.050) Prec@5 81.875 (83.878) Epoch: [71][9710/11272] Time 0.879 (0.782) Data 0.002 (0.002) Loss 1.7142 (1.6804) Prec@1 56.250 (55.051) Prec@5 83.125 (83.877) Epoch: [71][9720/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.8366 (1.6805) Prec@1 55.000 (55.051) Prec@5 81.875 (83.876) Epoch: [71][9730/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.6934 (1.6804) Prec@1 51.250 (55.051) Prec@5 83.750 (83.877) Epoch: [71][9740/11272] Time 0.732 (0.782) Data 0.001 (0.002) Loss 1.3147 (1.6804) Prec@1 61.875 (55.051) Prec@5 90.000 (83.877) Epoch: [71][9750/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.4434 (1.6803) Prec@1 57.500 (55.052) Prec@5 87.500 (83.878) Epoch: [71][9760/11272] Time 0.866 (0.782) Data 0.002 (0.002) Loss 1.6597 (1.6803) Prec@1 55.000 (55.053) Prec@5 85.000 (83.877) Epoch: [71][9770/11272] Time 0.732 (0.782) Data 0.001 (0.002) Loss 1.5065 (1.6803) Prec@1 56.250 (55.054) Prec@5 87.500 (83.878) Epoch: [71][9780/11272] Time 0.743 (0.782) Data 0.001 (0.002) Loss 1.5153 (1.6804) Prec@1 61.250 (55.053) Prec@5 86.875 (83.877) Epoch: [71][9790/11272] Time 0.849 (0.782) Data 0.002 (0.002) Loss 1.6637 (1.6804) Prec@1 57.500 (55.054) Prec@5 81.875 (83.877) Epoch: [71][9800/11272] Time 0.858 (0.782) Data 0.002 (0.002) Loss 1.5843 (1.6804) Prec@1 58.125 (55.053) Prec@5 86.250 (83.877) Epoch: [71][9810/11272] Time 0.723 (0.782) Data 0.002 (0.002) Loss 1.5749 (1.6804) Prec@1 53.750 (55.051) Prec@5 85.625 (83.878) Epoch: [71][9820/11272] Time 0.795 (0.782) Data 0.002 (0.002) Loss 1.7244 (1.6804) Prec@1 50.000 (55.050) Prec@5 85.000 (83.878) Epoch: [71][9830/11272] Time 0.821 (0.782) Data 0.001 (0.002) Loss 1.7897 (1.6804) Prec@1 53.125 (55.050) Prec@5 82.500 (83.878) Epoch: [71][9840/11272] Time 0.716 (0.782) Data 0.002 (0.002) Loss 1.5566 (1.6804) Prec@1 58.125 (55.051) Prec@5 85.625 (83.878) Epoch: [71][9850/11272] Time 0.733 (0.782) Data 0.001 (0.002) Loss 1.9718 (1.6804) Prec@1 48.750 (55.050) Prec@5 81.875 (83.877) Epoch: [71][9860/11272] Time 0.915 (0.782) Data 0.002 (0.002) Loss 1.3366 (1.6804) Prec@1 60.000 (55.051) Prec@5 90.625 (83.877) Epoch: [71][9870/11272] Time 0.828 (0.782) Data 0.001 (0.002) Loss 1.5922 (1.6804) Prec@1 58.750 (55.051) Prec@5 86.250 (83.877) Epoch: [71][9880/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.4878 (1.6803) Prec@1 61.875 (55.053) Prec@5 89.375 (83.878) Epoch: [71][9890/11272] Time 0.692 (0.782) Data 0.001 (0.002) Loss 1.5507 (1.6804) Prec@1 56.250 (55.051) Prec@5 83.750 (83.879) Epoch: [71][9900/11272] Time 0.853 (0.782) Data 0.002 (0.002) Loss 1.7050 (1.6804) Prec@1 53.750 (55.049) Prec@5 85.000 (83.878) Epoch: [71][9910/11272] Time 0.840 (0.782) Data 0.002 (0.002) Loss 1.6813 (1.6804) Prec@1 53.125 (55.048) Prec@5 84.375 (83.879) Epoch: [71][9920/11272] Time 0.701 (0.782) Data 0.001 (0.002) Loss 1.8364 (1.6805) Prec@1 53.750 (55.047) Prec@5 83.125 (83.878) Epoch: [71][9930/11272] Time 0.684 (0.782) Data 0.001 (0.002) Loss 1.8179 (1.6805) Prec@1 55.000 (55.049) Prec@5 79.375 (83.876) Epoch: [71][9940/11272] Time 0.829 (0.782) Data 0.002 (0.002) Loss 1.5738 (1.6804) Prec@1 55.000 (55.050) Prec@5 87.500 (83.878) Epoch: [71][9950/11272] Time 0.729 (0.782) Data 0.003 (0.002) Loss 1.6079 (1.6804) Prec@1 54.375 (55.050) Prec@5 82.500 (83.879) Epoch: [71][9960/11272] Time 0.690 (0.782) Data 0.001 (0.002) Loss 1.7027 (1.6804) Prec@1 51.250 (55.050) Prec@5 85.625 (83.879) Epoch: [71][9970/11272] Time 0.851 (0.782) Data 0.001 (0.002) Loss 1.6448 (1.6803) Prec@1 56.875 (55.051) Prec@5 85.000 (83.880) Epoch: [71][9980/11272] Time 0.828 (0.782) Data 0.001 (0.002) Loss 1.3259 (1.6804) Prec@1 62.500 (55.050) Prec@5 89.375 (83.879) Epoch: [71][9990/11272] Time 0.747 (0.782) Data 0.001 (0.002) Loss 1.6646 (1.6803) Prec@1 50.625 (55.051) Prec@5 82.500 (83.880) Epoch: [71][10000/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.6998 (1.6803) Prec@1 56.250 (55.051) Prec@5 82.500 (83.880) Epoch: [71][10010/11272] Time 0.837 (0.782) Data 0.002 (0.002) Loss 1.5574 (1.6803) Prec@1 55.000 (55.050) Prec@5 85.000 (83.880) Epoch: [71][10020/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.5638 (1.6803) Prec@1 56.875 (55.052) Prec@5 86.250 (83.881) Epoch: [71][10030/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.4939 (1.6803) Prec@1 58.750 (55.053) Prec@5 86.875 (83.882) Epoch: [71][10040/11272] Time 0.738 (0.782) Data 0.001 (0.002) Loss 1.8399 (1.6803) Prec@1 57.500 (55.052) Prec@5 81.875 (83.882) Epoch: [71][10050/11272] Time 0.850 (0.782) Data 0.002 (0.002) Loss 1.8349 (1.6803) Prec@1 51.250 (55.051) Prec@5 81.250 (83.880) Epoch: [71][10060/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.8084 (1.6803) Prec@1 46.250 (55.050) Prec@5 81.875 (83.880) Epoch: [71][10070/11272] Time 0.741 (0.782) Data 0.001 (0.002) Loss 1.9754 (1.6803) Prec@1 50.625 (55.049) Prec@5 80.000 (83.880) Epoch: [71][10080/11272] Time 0.863 (0.782) Data 0.001 (0.002) Loss 1.7115 (1.6803) Prec@1 53.125 (55.048) Prec@5 85.000 (83.879) Epoch: [71][10090/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.8944 (1.6804) Prec@1 48.750 (55.048) Prec@5 81.875 (83.879) Epoch: [71][10100/11272] Time 0.677 (0.782) Data 0.001 (0.002) Loss 1.7814 (1.6804) Prec@1 53.750 (55.047) Prec@5 81.875 (83.878) Epoch: [71][10110/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.5686 (1.6805) Prec@1 52.500 (55.046) Prec@5 88.125 (83.878) Epoch: [71][10120/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 2.0348 (1.6805) Prec@1 46.250 (55.043) Prec@5 75.625 (83.877) Epoch: [71][10130/11272] Time 0.815 (0.782) Data 0.001 (0.002) Loss 1.6536 (1.6804) Prec@1 53.125 (55.045) Prec@5 82.500 (83.879) Epoch: [71][10140/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.8558 (1.6804) Prec@1 50.000 (55.045) Prec@5 81.875 (83.879) Epoch: [71][10150/11272] Time 0.711 (0.782) Data 0.002 (0.002) Loss 1.6961 (1.6805) Prec@1 56.250 (55.044) Prec@5 81.875 (83.879) Epoch: [71][10160/11272] Time 0.821 (0.782) Data 0.002 (0.002) Loss 1.5789 (1.6806) Prec@1 56.875 (55.044) Prec@5 85.625 (83.876) Epoch: [71][10170/11272] Time 0.830 (0.782) Data 0.001 (0.002) Loss 1.7060 (1.6806) Prec@1 53.750 (55.045) Prec@5 83.750 (83.877) Epoch: [71][10180/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.8280 (1.6806) Prec@1 52.500 (55.045) Prec@5 79.375 (83.876) Epoch: [71][10190/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.7819 (1.6806) Prec@1 54.375 (55.045) Prec@5 81.250 (83.876) Epoch: [71][10200/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.5107 (1.6806) Prec@1 53.750 (55.047) Prec@5 86.250 (83.876) Epoch: [71][10210/11272] Time 0.742 (0.782) Data 0.003 (0.002) Loss 1.6594 (1.6805) Prec@1 56.250 (55.047) Prec@5 85.000 (83.877) Epoch: [71][10220/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.7911 (1.6805) Prec@1 55.625 (55.047) Prec@5 81.875 (83.877) Epoch: [71][10230/11272] Time 0.823 (0.782) Data 0.001 (0.002) Loss 1.6834 (1.6805) Prec@1 50.625 (55.047) Prec@5 82.500 (83.878) Epoch: [71][10240/11272] Time 0.863 (0.782) Data 0.002 (0.002) Loss 1.6193 (1.6806) Prec@1 56.875 (55.047) Prec@5 86.875 (83.877) Epoch: [71][10250/11272] Time 0.721 (0.782) Data 0.001 (0.002) Loss 1.5849 (1.6806) Prec@1 58.125 (55.048) Prec@5 85.000 (83.877) Epoch: [71][10260/11272] Time 0.755 (0.782) Data 0.002 (0.002) Loss 1.7641 (1.6806) Prec@1 54.375 (55.046) Prec@5 80.625 (83.875) Epoch: [71][10270/11272] Time 0.827 (0.782) Data 0.002 (0.002) Loss 1.6532 (1.6806) Prec@1 56.875 (55.047) Prec@5 85.000 (83.875) Epoch: [71][10280/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.8724 (1.6806) Prec@1 46.875 (55.047) Prec@5 80.625 (83.876) Epoch: [71][10290/11272] Time 0.689 (0.782) Data 0.001 (0.002) Loss 1.7748 (1.6806) Prec@1 53.750 (55.047) Prec@5 81.250 (83.876) Epoch: [71][10300/11272] Time 0.729 (0.782) Data 0.001 (0.002) Loss 1.4367 (1.6807) Prec@1 60.000 (55.047) Prec@5 88.750 (83.875) Epoch: [71][10310/11272] Time 0.828 (0.782) Data 0.002 (0.002) Loss 1.8089 (1.6806) Prec@1 48.750 (55.047) Prec@5 83.750 (83.874) Epoch: [71][10320/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.6575 (1.6806) Prec@1 56.875 (55.047) Prec@5 85.000 (83.873) Epoch: [71][10330/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.8180 (1.6807) Prec@1 53.750 (55.045) Prec@5 80.000 (83.872) Epoch: [71][10340/11272] Time 0.806 (0.782) Data 0.001 (0.002) Loss 1.5698 (1.6806) Prec@1 54.375 (55.046) Prec@5 86.250 (83.874) Epoch: [71][10350/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.8853 (1.6805) Prec@1 51.250 (55.047) Prec@5 79.375 (83.875) Epoch: [71][10360/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.7399 (1.6805) Prec@1 55.000 (55.049) Prec@5 85.000 (83.876) Epoch: [71][10370/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.4272 (1.6805) Prec@1 60.625 (55.048) Prec@5 88.125 (83.876) Epoch: [71][10380/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.5434 (1.6805) Prec@1 58.750 (55.049) Prec@5 85.625 (83.876) Epoch: [71][10390/11272] Time 0.872 (0.782) Data 0.002 (0.002) Loss 1.7408 (1.6805) Prec@1 53.125 (55.050) Prec@5 81.875 (83.877) Epoch: [71][10400/11272] Time 0.749 (0.782) Data 0.001 (0.002) Loss 1.6784 (1.6804) Prec@1 56.250 (55.050) Prec@5 85.000 (83.876) Epoch: [71][10410/11272] Time 0.699 (0.782) Data 0.001 (0.002) Loss 1.4990 (1.6805) Prec@1 54.375 (55.048) Prec@5 90.000 (83.877) Epoch: [71][10420/11272] Time 0.868 (0.782) Data 0.002 (0.002) Loss 1.8064 (1.6804) Prec@1 52.500 (55.048) Prec@5 83.125 (83.877) Epoch: [71][10430/11272] Time 0.815 (0.782) Data 0.002 (0.002) Loss 1.5972 (1.6804) Prec@1 56.250 (55.047) Prec@5 85.625 (83.878) Epoch: [71][10440/11272] Time 0.734 (0.782) Data 0.002 (0.002) Loss 1.5315 (1.6804) Prec@1 55.000 (55.046) Prec@5 85.625 (83.878) Epoch: [71][10450/11272] Time 0.739 (0.782) Data 0.002 (0.002) Loss 1.8028 (1.6805) Prec@1 53.125 (55.045) Prec@5 83.125 (83.877) Epoch: [71][10460/11272] Time 0.819 (0.782) Data 0.001 (0.002) Loss 1.6977 (1.6804) Prec@1 51.875 (55.046) Prec@5 84.375 (83.878) Epoch: [71][10470/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.7105 (1.6804) Prec@1 55.625 (55.045) Prec@5 83.125 (83.878) Epoch: [71][10480/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.7407 (1.6804) Prec@1 51.250 (55.043) Prec@5 84.375 (83.878) Epoch: [71][10490/11272] Time 0.828 (0.782) Data 0.002 (0.002) Loss 1.7392 (1.6804) Prec@1 50.625 (55.043) Prec@5 85.625 (83.879) Epoch: [71][10500/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.4997 (1.6804) Prec@1 55.625 (55.044) Prec@5 85.000 (83.879) Epoch: [71][10510/11272] Time 0.728 (0.782) Data 0.002 (0.002) Loss 1.6326 (1.6804) Prec@1 57.500 (55.044) Prec@5 82.500 (83.879) Epoch: [71][10520/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.7444 (1.6804) Prec@1 51.250 (55.044) Prec@5 83.750 (83.881) Epoch: [71][10530/11272] Time 0.820 (0.782) Data 0.001 (0.002) Loss 1.8931 (1.6804) Prec@1 49.375 (55.043) Prec@5 81.250 (83.880) Epoch: [71][10540/11272] Time 0.822 (0.782) Data 0.001 (0.002) Loss 1.8023 (1.6804) Prec@1 51.250 (55.043) Prec@5 86.875 (83.881) Epoch: [71][10550/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.8516 (1.6804) Prec@1 47.500 (55.043) Prec@5 81.250 (83.881) Epoch: [71][10560/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.6105 (1.6804) Prec@1 59.375 (55.043) Prec@5 84.375 (83.881) Epoch: [71][10570/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.6893 (1.6805) Prec@1 57.500 (55.044) Prec@5 84.375 (83.881) Epoch: [71][10580/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.7337 (1.6804) Prec@1 53.125 (55.044) Prec@5 81.875 (83.881) Epoch: [71][10590/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.5998 (1.6804) Prec@1 57.500 (55.044) Prec@5 85.000 (83.882) Epoch: [71][10600/11272] Time 0.696 (0.782) Data 0.002 (0.002) Loss 1.6939 (1.6804) Prec@1 51.875 (55.044) Prec@5 83.125 (83.883) Epoch: [71][10610/11272] Time 0.833 (0.782) Data 0.001 (0.002) Loss 1.8188 (1.6805) Prec@1 54.375 (55.044) Prec@5 84.375 (83.882) Epoch: [71][10620/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.7161 (1.6805) Prec@1 59.375 (55.043) Prec@5 82.500 (83.882) Epoch: [71][10630/11272] Time 0.738 (0.782) Data 0.001 (0.002) Loss 1.5641 (1.6805) Prec@1 56.250 (55.043) Prec@5 85.625 (83.883) Epoch: [71][10640/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.5734 (1.6805) Prec@1 60.000 (55.043) Prec@5 86.250 (83.883) Epoch: [71][10650/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.7113 (1.6806) Prec@1 53.750 (55.042) Prec@5 80.000 (83.882) Epoch: [71][10660/11272] Time 0.729 (0.782) Data 0.002 (0.002) Loss 1.6974 (1.6806) Prec@1 55.625 (55.041) Prec@5 83.750 (83.881) Epoch: [71][10670/11272] Time 0.737 (0.782) Data 0.002 (0.002) Loss 2.0576 (1.6807) Prec@1 48.750 (55.038) Prec@5 76.875 (83.880) Epoch: [71][10680/11272] Time 0.817 (0.782) Data 0.002 (0.002) Loss 1.7579 (1.6807) Prec@1 54.375 (55.039) Prec@5 83.125 (83.879) Epoch: [71][10690/11272] Time 0.863 (0.782) Data 0.002 (0.002) Loss 1.7846 (1.6808) Prec@1 53.125 (55.038) Prec@5 81.875 (83.878) Epoch: [71][10700/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.8849 (1.6807) Prec@1 49.375 (55.039) Prec@5 78.750 (83.878) Epoch: [71][10710/11272] Time 0.725 (0.782) Data 0.000 (0.002) Loss 1.6733 (1.6807) Prec@1 48.125 (55.039) Prec@5 84.375 (83.880) Epoch: [71][10720/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.7748 (1.6808) Prec@1 45.625 (55.036) Prec@5 83.750 (83.879) Epoch: [71][10730/11272] Time 0.822 (0.782) Data 0.002 (0.002) Loss 1.5985 (1.6807) Prec@1 55.625 (55.037) Prec@5 85.625 (83.880) Epoch: [71][10740/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.7290 (1.6807) Prec@1 51.875 (55.038) Prec@5 83.125 (83.880) Epoch: [71][10750/11272] Time 0.891 (0.782) Data 0.001 (0.002) Loss 1.8405 (1.6806) Prec@1 50.625 (55.040) Prec@5 82.500 (83.880) Epoch: [71][10760/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.6647 (1.6806) Prec@1 53.125 (55.039) Prec@5 82.500 (83.881) Epoch: [71][10770/11272] Time 0.763 (0.782) Data 0.002 (0.002) Loss 1.5694 (1.6806) Prec@1 60.000 (55.041) Prec@5 86.250 (83.881) Epoch: [71][10780/11272] Time 0.749 (0.782) Data 0.002 (0.002) Loss 1.6164 (1.6805) Prec@1 55.625 (55.042) Prec@5 85.625 (83.882) Epoch: [71][10790/11272] Time 0.806 (0.782) Data 0.001 (0.002) Loss 1.7655 (1.6805) Prec@1 51.250 (55.041) Prec@5 85.000 (83.881) Epoch: [71][10800/11272] Time 0.831 (0.782) Data 0.002 (0.002) Loss 1.5980 (1.6805) Prec@1 60.000 (55.042) Prec@5 85.625 (83.880) Epoch: [71][10810/11272] Time 0.705 (0.782) Data 0.001 (0.002) Loss 1.6084 (1.6805) Prec@1 58.125 (55.041) Prec@5 85.000 (83.880) Epoch: [71][10820/11272] Time 0.699 (0.782) Data 0.001 (0.002) Loss 1.6807 (1.6805) Prec@1 53.750 (55.043) Prec@5 83.750 (83.880) Epoch: [71][10830/11272] Time 0.850 (0.782) Data 0.002 (0.002) Loss 1.7397 (1.6805) Prec@1 50.000 (55.042) Prec@5 84.375 (83.879) Epoch: [71][10840/11272] Time 0.765 (0.782) Data 0.001 (0.002) Loss 1.4172 (1.6804) Prec@1 61.875 (55.044) Prec@5 86.875 (83.880) Epoch: [71][10850/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.8037 (1.6804) Prec@1 55.000 (55.044) Prec@5 78.750 (83.881) Epoch: [71][10860/11272] Time 0.721 (0.782) Data 0.001 (0.002) Loss 1.7016 (1.6804) Prec@1 53.750 (55.043) Prec@5 86.250 (83.880) Epoch: [71][10870/11272] Time 0.814 (0.782) Data 0.001 (0.002) Loss 1.8186 (1.6805) Prec@1 49.375 (55.041) Prec@5 82.500 (83.880) Epoch: [71][10880/11272] Time 0.734 (0.782) Data 0.003 (0.002) Loss 1.9587 (1.6805) Prec@1 56.875 (55.040) Prec@5 77.500 (83.879) Epoch: [71][10890/11272] Time 0.709 (0.782) Data 0.001 (0.002) Loss 1.5996 (1.6806) Prec@1 56.875 (55.037) Prec@5 83.125 (83.878) Epoch: [71][10900/11272] Time 0.812 (0.782) Data 0.002 (0.002) Loss 1.7582 (1.6806) Prec@1 51.875 (55.037) Prec@5 83.750 (83.878) Epoch: [71][10910/11272] Time 0.830 (0.782) Data 0.001 (0.002) Loss 1.7070 (1.6806) Prec@1 55.000 (55.034) Prec@5 86.250 (83.878) Epoch: [71][10920/11272] Time 0.733 (0.782) Data 0.001 (0.002) Loss 1.3717 (1.6805) Prec@1 66.250 (55.035) Prec@5 87.500 (83.879) Epoch: [71][10930/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.4988 (1.6805) Prec@1 58.750 (55.035) Prec@5 86.875 (83.880) Epoch: [71][10940/11272] Time 0.845 (0.782) Data 0.001 (0.002) Loss 1.8213 (1.6805) Prec@1 55.625 (55.036) Prec@5 78.125 (83.881) Epoch: [71][10950/11272] Time 0.834 (0.782) Data 0.002 (0.002) Loss 1.7852 (1.6805) Prec@1 55.000 (55.035) Prec@5 83.125 (83.881) Epoch: [71][10960/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.5803 (1.6804) Prec@1 54.375 (55.038) Prec@5 87.500 (83.882) Epoch: [71][10970/11272] Time 0.723 (0.782) Data 0.001 (0.002) Loss 1.8311 (1.6805) Prec@1 51.875 (55.037) Prec@5 81.875 (83.882) Epoch: [71][10980/11272] Time 0.863 (0.782) Data 0.002 (0.002) Loss 1.6934 (1.6804) Prec@1 56.875 (55.037) Prec@5 85.625 (83.883) Epoch: [71][10990/11272] Time 0.837 (0.782) Data 0.002 (0.002) Loss 1.6274 (1.6804) Prec@1 55.625 (55.037) Prec@5 87.500 (83.884) Epoch: [71][11000/11272] Time 0.729 (0.782) Data 0.001 (0.002) Loss 1.8720 (1.6804) Prec@1 48.750 (55.038) Prec@5 80.625 (83.884) Epoch: [71][11010/11272] Time 0.827 (0.782) Data 0.001 (0.002) Loss 1.3846 (1.6804) Prec@1 61.875 (55.038) Prec@5 89.375 (83.883) Epoch: [71][11020/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.7250 (1.6804) Prec@1 54.375 (55.039) Prec@5 80.625 (83.882) Epoch: [71][11030/11272] Time 0.753 (0.782) Data 0.002 (0.002) Loss 1.6665 (1.6804) Prec@1 56.250 (55.039) Prec@5 84.375 (83.882) Epoch: [71][11040/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.8756 (1.6804) Prec@1 53.750 (55.038) Prec@5 80.625 (83.882) Epoch: [71][11050/11272] Time 0.870 (0.782) Data 0.002 (0.002) Loss 1.5295 (1.6804) Prec@1 57.500 (55.038) Prec@5 85.000 (83.882) Epoch: [71][11060/11272] Time 0.811 (0.782) Data 0.001 (0.002) Loss 1.7489 (1.6805) Prec@1 53.750 (55.038) Prec@5 83.125 (83.884) Epoch: [71][11070/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.6339 (1.6805) Prec@1 53.750 (55.037) Prec@5 83.750 (83.884) Epoch: [71][11080/11272] Time 0.691 (0.782) Data 0.001 (0.002) Loss 1.6351 (1.6805) Prec@1 53.125 (55.036) Prec@5 84.375 (83.884) Epoch: [71][11090/11272] Time 0.849 (0.782) Data 0.002 (0.002) Loss 1.8225 (1.6805) Prec@1 50.625 (55.035) Prec@5 82.500 (83.883) Epoch: [71][11100/11272] Time 0.873 (0.782) Data 0.002 (0.002) Loss 1.9968 (1.6806) Prec@1 46.875 (55.034) Prec@5 77.500 (83.882) Epoch: [71][11110/11272] Time 0.737 (0.782) Data 0.001 (0.002) Loss 1.7319 (1.6806) Prec@1 51.250 (55.033) Prec@5 85.000 (83.882) Epoch: [71][11120/11272] Time 0.736 (0.782) Data 0.001 (0.002) Loss 1.6578 (1.6807) Prec@1 56.875 (55.032) Prec@5 82.500 (83.881) Epoch: [71][11130/11272] Time 0.860 (0.782) Data 0.002 (0.002) Loss 1.5341 (1.6807) Prec@1 60.625 (55.030) Prec@5 89.375 (83.882) Epoch: [71][11140/11272] Time 0.724 (0.782) Data 0.003 (0.002) Loss 1.7297 (1.6807) Prec@1 53.750 (55.029) Prec@5 83.125 (83.881) Epoch: [71][11150/11272] Time 0.729 (0.782) Data 0.002 (0.002) Loss 1.7876 (1.6807) Prec@1 53.750 (55.027) Prec@5 81.250 (83.880) Epoch: [71][11160/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.6005 (1.6807) Prec@1 51.875 (55.027) Prec@5 82.500 (83.880) Epoch: [71][11170/11272] Time 0.865 (0.782) Data 0.002 (0.002) Loss 1.8025 (1.6807) Prec@1 52.500 (55.027) Prec@5 80.625 (83.880) Epoch: [71][11180/11272] Time 0.705 (0.782) Data 0.002 (0.002) Loss 1.6869 (1.6807) Prec@1 55.625 (55.026) Prec@5 80.625 (83.880) Epoch: [71][11190/11272] Time 0.729 (0.782) Data 0.002 (0.002) Loss 1.7564 (1.6807) Prec@1 54.375 (55.027) Prec@5 83.750 (83.879) Epoch: [71][11200/11272] Time 0.829 (0.782) Data 0.002 (0.002) Loss 1.7948 (1.6808) Prec@1 53.125 (55.027) Prec@5 80.625 (83.878) Epoch: [71][11210/11272] Time 0.802 (0.782) Data 0.001 (0.002) Loss 1.6106 (1.6808) Prec@1 56.875 (55.026) Prec@5 83.125 (83.877) Epoch: [71][11220/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.5994 (1.6808) Prec@1 58.750 (55.027) Prec@5 84.375 (83.876) Epoch: [71][11230/11272] Time 0.710 (0.782) Data 0.002 (0.002) Loss 1.4847 (1.6807) Prec@1 62.500 (55.028) Prec@5 86.250 (83.876) Epoch: [71][11240/11272] Time 0.874 (0.782) Data 0.002 (0.002) Loss 1.5667 (1.6807) Prec@1 57.500 (55.027) Prec@5 85.000 (83.876) Epoch: [71][11250/11272] Time 0.831 (0.782) Data 0.002 (0.002) Loss 1.7166 (1.6808) Prec@1 56.250 (55.026) Prec@5 84.375 (83.876) Epoch: [71][11260/11272] Time 0.730 (0.782) Data 0.001 (0.002) Loss 1.8599 (1.6807) Prec@1 50.000 (55.028) Prec@5 80.625 (83.877) Epoch: [71][11270/11272] Time 0.784 (0.782) Data 0.000 (0.002) Loss 1.7190 (1.6807) Prec@1 48.750 (55.028) Prec@5 85.000 (83.877) Test: [0/229] Time 2.962 (2.962) Loss 0.9865 (0.9865) Prec@1 65.625 (65.625) Prec@5 96.250 (96.250) Test: [10/229] Time 0.316 (0.690) Loss 1.1606 (1.5626) Prec@1 61.875 (57.670) Prec@5 96.250 (87.955) Test: [20/229] Time 1.156 (0.631) Loss 2.1093 (1.6488) Prec@1 44.375 (54.851) Prec@5 80.625 (86.607) Test: [30/229] Time 0.280 (0.581) Loss 1.7913 (1.5790) Prec@1 51.875 (57.480) Prec@5 85.000 (87.097) Test: [40/229] Time 0.423 (0.586) Loss 0.3687 (1.5716) Prec@1 93.125 (57.561) Prec@5 96.250 (87.027) Test: [50/229] Time 0.348 (0.566) Loss 2.2420 (1.6264) Prec@1 40.000 (56.422) Prec@5 80.625 (85.784) Test: [60/229] Time 0.319 (0.564) Loss 1.9931 (1.6137) Prec@1 43.750 (56.670) Prec@5 86.250 (86.055) Test: [70/229] Time 1.272 (0.564) Loss 1.2144 (1.6235) Prec@1 72.500 (56.444) Prec@5 87.500 (86.012) Test: [80/229] Time 0.318 (0.557) Loss 2.0859 (1.6489) Prec@1 40.000 (55.517) Prec@5 83.750 (85.910) Test: [90/229] Time 0.902 (0.554) Loss 1.1913 (1.6568) Prec@1 75.000 (55.364) Prec@5 88.750 (85.865) Test: [100/229] Time 0.290 (0.548) Loss 2.1762 (1.6521) Prec@1 45.625 (55.588) Prec@5 82.500 (85.928) Test: [110/229] Time 0.576 (0.548) Loss 1.3195 (1.6345) Prec@1 67.500 (55.991) Prec@5 86.250 (86.059) Test: [120/229] Time 0.308 (0.542) Loss 2.8087 (1.6544) Prec@1 37.500 (55.455) Prec@5 77.500 (85.883) Test: [130/229] Time 0.298 (0.546) Loss 1.1152 (1.6381) Prec@1 65.625 (55.740) Prec@5 94.375 (86.054) Test: [140/229] Time 0.388 (0.541) Loss 1.7196 (1.6518) Prec@1 56.250 (55.408) Prec@5 83.750 (85.913) Test: [150/229] Time 0.318 (0.543) Loss 1.1160 (1.6622) Prec@1 73.750 (55.157) Prec@5 89.375 (85.815) Test: [160/229] Time 0.403 (0.540) Loss 1.6984 (1.6663) Prec@1 61.250 (55.031) Prec@5 84.375 (85.726) Test: [170/229] Time 0.331 (0.540) Loss 1.6390 (1.6758) Prec@1 55.625 (54.722) Prec@5 87.500 (85.607) Test: [180/229] Time 1.205 (0.543) Loss 2.2315 (1.6796) Prec@1 39.375 (54.741) Prec@5 76.875 (85.463) Test: [190/229] Time 0.315 (0.539) Loss 1.3416 (1.6699) Prec@1 62.500 (55.023) Prec@5 92.500 (85.556) Test: [200/229] Time 0.852 (0.539) Loss 1.7259 (1.6608) Prec@1 49.375 (55.093) Prec@5 83.125 (85.752) Test: [210/229] Time 0.616 (0.538) Loss 1.1003 (1.6498) Prec@1 63.750 (55.421) Prec@5 94.375 (85.886) Test: [220/229] Time 0.337 (0.537) Loss 1.5714 (1.6419) Prec@1 61.250 (55.744) Prec@5 88.750 (85.939) * Prec@1 56.020 Prec@5 85.990 Epoch: [72][0/11272] Time 4.274 (4.274) Data 3.478 (3.478) Loss 1.4694 (1.4694) Prec@1 61.250 (61.250) Prec@5 83.125 (83.125) Epoch: [72][10/11272] Time 0.820 (1.085) Data 0.002 (0.317) Loss 1.6869 (1.6358) Prec@1 58.750 (55.682) Prec@5 82.500 (83.864) Epoch: [72][20/11272] Time 0.816 (0.935) Data 0.001 (0.167) Loss 1.6031 (1.6367) Prec@1 54.375 (55.595) Prec@5 85.625 (84.226) Epoch: [72][30/11272] Time 0.726 (0.887) Data 0.002 (0.114) Loss 1.5161 (1.6258) Prec@1 59.375 (55.988) Prec@5 86.250 (84.758) Epoch: [72][40/11272] Time 0.723 (0.860) Data 0.001 (0.086) Loss 1.6835 (1.6411) Prec@1 53.125 (55.655) Prec@5 86.250 (84.527) Epoch: [72][50/11272] Time 0.823 (0.846) Data 0.002 (0.070) Loss 1.6751 (1.6576) Prec@1 57.500 (55.502) Prec@5 84.375 (84.240) Epoch: [72][60/11272] Time 0.825 (0.833) Data 0.002 (0.058) Loss 1.4272 (1.6456) Prec@1 59.375 (55.779) Prec@5 88.125 (84.395) Epoch: [72][70/11272] Time 0.684 (0.823) Data 0.001 (0.050) Loss 1.5298 (1.6543) Prec@1 60.000 (55.458) Prec@5 88.750 (84.375) Epoch: [72][80/11272] Time 0.691 (0.816) Data 0.001 (0.044) Loss 1.6070 (1.6518) Prec@1 55.000 (55.478) Prec@5 88.125 (84.460) Epoch: [72][90/11272] Time 0.849 (0.812) Data 0.001 (0.040) Loss 1.8065 (1.6501) Prec@1 55.000 (55.673) Prec@5 81.875 (84.478) Epoch: [72][100/11272] Time 0.715 (0.809) Data 0.001 (0.036) Loss 1.7584 (1.6474) Prec@1 55.000 (55.749) Prec@5 80.625 (84.579) Epoch: [72][110/11272] Time 0.732 (0.806) Data 0.001 (0.033) Loss 1.6257 (1.6493) Prec@1 56.875 (55.828) Prec@5 86.250 (84.482) Epoch: [72][120/11272] Time 0.835 (0.805) Data 0.002 (0.030) Loss 1.6033 (1.6496) Prec@1 56.875 (55.826) Prec@5 86.875 (84.463) Epoch: [72][130/11272] Time 0.796 (0.802) Data 0.001 (0.028) Loss 1.9518 (1.6527) Prec@1 42.500 (55.553) Prec@5 81.875 (84.461) Epoch: [72][140/11272] Time 0.708 (0.798) Data 0.001 (0.026) Loss 1.9269 (1.6564) Prec@1 53.125 (55.545) Prec@5 79.375 (84.366) Epoch: [72][150/11272] Time 0.727 (0.797) Data 0.001 (0.024) Loss 1.6490 (1.6555) Prec@1 58.750 (55.567) Prec@5 86.875 (84.404) Epoch: [72][160/11272] Time 0.813 (0.797) Data 0.001 (0.023) Loss 1.6294 (1.6548) Prec@1 56.250 (55.633) Prec@5 86.250 (84.398) Epoch: [72][170/11272] Time 0.813 (0.796) Data 0.002 (0.022) Loss 1.5229 (1.6522) Prec@1 60.625 (55.669) Prec@5 86.875 (84.390) Epoch: [72][180/11272] Time 0.758 (0.795) Data 0.002 (0.021) Loss 1.7331 (1.6547) Prec@1 51.875 (55.680) Prec@5 83.125 (84.302) Epoch: [72][190/11272] Time 0.706 (0.794) Data 0.001 (0.020) Loss 1.7665 (1.6545) Prec@1 54.375 (55.697) Prec@5 83.125 (84.306) Epoch: [72][200/11272] Time 0.840 (0.793) Data 0.002 (0.019) Loss 1.5327 (1.6505) Prec@1 60.625 (55.771) Prec@5 84.375 (84.331) Epoch: [72][210/11272] Time 0.850 (0.793) Data 0.002 (0.018) Loss 1.3324 (1.6484) Prec@1 61.875 (55.776) Prec@5 88.750 (84.405) Epoch: [72][220/11272] Time 0.722 (0.792) Data 0.001 (0.017) Loss 1.5134 (1.6483) Prec@1 55.625 (55.761) Prec@5 86.250 (84.386) Epoch: [72][230/11272] Time 0.857 (0.792) Data 0.001 (0.017) Loss 1.8720 (1.6478) Prec@1 54.375 (55.768) Prec@5 76.875 (84.359) Epoch: [72][240/11272] Time 0.857 (0.792) Data 0.002 (0.016) Loss 1.4604 (1.6449) Prec@1 58.750 (55.845) Prec@5 88.125 (84.401) Epoch: [72][250/11272] Time 0.736 (0.791) Data 0.002 (0.015) Loss 1.5128 (1.6442) Prec@1 62.500 (55.829) Prec@5 87.500 (84.370) Epoch: [72][260/11272] Time 0.714 (0.790) Data 0.001 (0.015) Loss 1.5578 (1.6424) Prec@1 57.500 (55.898) Prec@5 85.625 (84.382) Epoch: [72][270/11272] Time 0.825 (0.790) Data 0.001 (0.014) Loss 1.4603 (1.6420) Prec@1 60.000 (55.872) Prec@5 88.125 (84.398) Epoch: [72][280/11272] Time 0.835 (0.789) Data 0.002 (0.014) Loss 1.5969 (1.6431) Prec@1 55.625 (55.876) Prec@5 85.625 (84.373) Epoch: [72][290/11272] Time 0.708 (0.789) Data 0.001 (0.013) Loss 1.4741 (1.6400) Prec@1 58.125 (55.887) Prec@5 87.500 (84.433) Epoch: [72][300/11272] Time 0.687 (0.789) Data 0.001 (0.013) Loss 1.5903 (1.6371) Prec@1 60.000 (56.028) Prec@5 85.000 (84.477) Epoch: [72][310/11272] Time 0.810 (0.789) Data 0.001 (0.013) Loss 1.7279 (1.6388) Prec@1 52.500 (55.975) Prec@5 85.625 (84.463) Epoch: [72][320/11272] Time 0.830 (0.789) Data 0.002 (0.012) Loss 1.6083 (1.6396) Prec@1 53.750 (55.948) Prec@5 84.375 (84.467) Epoch: [72][330/11272] Time 0.717 (0.788) Data 0.001 (0.012) Loss 1.4451 (1.6369) Prec@1 60.625 (56.014) Prec@5 84.375 (84.511) Epoch: [72][340/11272] Time 0.703 (0.788) Data 0.001 (0.012) Loss 1.5312 (1.6386) Prec@1 55.000 (55.973) Prec@5 84.375 (84.463) Epoch: [72][350/11272] Time 0.850 (0.788) Data 0.002 (0.011) Loss 1.5188 (1.6410) Prec@1 60.000 (55.963) Prec@5 87.500 (84.446) Epoch: [72][360/11272] Time 0.703 (0.787) Data 0.003 (0.011) Loss 1.6287 (1.6405) Prec@1 56.875 (55.968) Prec@5 83.750 (84.468) Epoch: [72][370/11272] Time 0.695 (0.787) Data 0.001 (0.011) Loss 1.6404 (1.6392) Prec@1 51.875 (56.002) Prec@5 84.375 (84.491) Epoch: [72][380/11272] Time 0.840 (0.787) Data 0.001 (0.011) Loss 1.5842 (1.6417) Prec@1 58.750 (56.001) Prec@5 85.000 (84.446) Epoch: [72][390/11272] Time 0.840 (0.787) Data 0.002 (0.010) Loss 1.6495 (1.6410) Prec@1 49.375 (55.989) Prec@5 83.750 (84.465) Epoch: [72][400/11272] Time 0.742 (0.787) Data 0.001 (0.010) Loss 1.6954 (1.6419) Prec@1 54.375 (55.955) Prec@5 83.125 (84.444) Epoch: [72][410/11272] Time 0.738 (0.786) Data 0.002 (0.010) Loss 1.4753 (1.6407) Prec@1 56.250 (55.943) Prec@5 87.500 (84.474) Epoch: [72][420/11272] Time 0.843 (0.786) Data 0.001 (0.010) Loss 1.7871 (1.6417) Prec@1 56.875 (55.920) Prec@5 81.250 (84.449) Epoch: [72][430/11272] Time 0.870 (0.786) Data 0.002 (0.010) Loss 1.6933 (1.6421) Prec@1 53.750 (55.902) Prec@5 83.750 (84.442) Epoch: [72][440/11272] Time 0.752 (0.786) Data 0.001 (0.009) Loss 1.6512 (1.6418) Prec@1 56.250 (55.903) Prec@5 83.125 (84.456) Epoch: [72][450/11272] Time 0.725 (0.786) Data 0.001 (0.009) Loss 1.9567 (1.6422) Prec@1 49.375 (55.897) Prec@5 80.625 (84.446) Epoch: [72][460/11272] Time 0.837 (0.786) Data 0.001 (0.009) Loss 1.7250 (1.6420) Prec@1 53.750 (55.881) Prec@5 80.625 (84.463) Epoch: [72][470/11272] Time 0.800 (0.786) Data 0.001 (0.009) Loss 1.7318 (1.6409) Prec@1 54.375 (55.917) Prec@5 84.375 (84.489) Epoch: [72][480/11272] Time 0.733 (0.785) Data 0.001 (0.009) Loss 1.7791 (1.6415) Prec@1 59.375 (55.916) Prec@5 80.000 (84.480) Epoch: [72][490/11272] Time 0.817 (0.786) Data 0.002 (0.009) Loss 1.7255 (1.6412) Prec@1 55.625 (55.923) Prec@5 80.625 (84.484) Epoch: [72][500/11272] Time 0.812 (0.785) Data 0.001 (0.008) Loss 1.5938 (1.6412) Prec@1 61.250 (55.947) Prec@5 85.625 (84.481) Epoch: [72][510/11272] Time 0.692 (0.785) Data 0.001 (0.008) Loss 1.6904 (1.6404) Prec@1 52.500 (55.965) Prec@5 81.250 (84.470) Epoch: [72][520/11272] Time 0.695 (0.785) Data 0.001 (0.008) Loss 1.7222 (1.6399) Prec@1 53.125 (55.979) Prec@5 83.125 (84.481) Epoch: [72][530/11272] Time 0.808 (0.785) Data 0.001 (0.008) Loss 1.7159 (1.6403) Prec@1 56.250 (55.973) Prec@5 80.625 (84.481) Epoch: [72][540/11272] Time 0.819 (0.785) Data 0.001 (0.008) Loss 1.9615 (1.6421) Prec@1 46.250 (55.921) Prec@5 80.625 (84.450) Epoch: [72][550/11272] Time 0.731 (0.784) Data 0.001 (0.008) Loss 1.4518 (1.6435) Prec@1 61.250 (55.886) Prec@5 83.750 (84.411) Epoch: [72][560/11272] Time 0.694 (0.784) Data 0.001 (0.008) Loss 1.8533 (1.6446) Prec@1 52.500 (55.869) Prec@5 80.000 (84.389) Epoch: [72][570/11272] Time 0.851 (0.784) Data 0.002 (0.008) Loss 1.4828 (1.6440) Prec@1 59.375 (55.877) Prec@5 89.375 (84.413) Epoch: [72][580/11272] Time 0.834 (0.784) Data 0.002 (0.007) Loss 1.5706 (1.6452) Prec@1 58.125 (55.840) Prec@5 85.000 (84.384) Epoch: [72][590/11272] Time 0.707 (0.784) Data 0.001 (0.007) Loss 1.4960 (1.6451) Prec@1 53.750 (55.833) Prec@5 90.625 (84.411) Epoch: [72][600/11272] Time 0.709 (0.784) Data 0.001 (0.007) Loss 1.4684 (1.6449) Prec@1 58.125 (55.831) Prec@5 88.750 (84.428) Epoch: [72][610/11272] Time 0.835 (0.784) Data 0.001 (0.007) Loss 1.6277 (1.6445) Prec@1 55.625 (55.805) Prec@5 85.000 (84.453) Epoch: [72][620/11272] Time 0.731 (0.784) Data 0.003 (0.007) Loss 1.3373 (1.6443) Prec@1 63.750 (55.810) Prec@5 86.250 (84.449) Epoch: [72][630/11272] Time 0.738 (0.784) Data 0.001 (0.007) Loss 1.6754 (1.6449) Prec@1 53.750 (55.798) Prec@5 86.875 (84.439) Epoch: [72][640/11272] Time 0.832 (0.784) Data 0.001 (0.007) Loss 1.7037 (1.6464) Prec@1 55.625 (55.770) Prec@5 80.000 (84.433) Epoch: [72][650/11272] Time 0.839 (0.784) Data 0.002 (0.007) Loss 1.6470 (1.6472) Prec@1 58.125 (55.775) Prec@5 87.500 (84.428) Epoch: [72][660/11272] Time 0.688 (0.784) Data 0.001 (0.007) Loss 1.8587 (1.6470) Prec@1 51.875 (55.771) Prec@5 78.750 (84.423) Epoch: [72][670/11272] Time 0.731 (0.784) Data 0.001 (0.007) Loss 1.5949 (1.6469) Prec@1 53.125 (55.773) Prec@5 83.750 (84.422) Epoch: [72][680/11272] Time 0.821 (0.784) Data 0.001 (0.007) Loss 1.5252 (1.6468) Prec@1 60.000 (55.759) Prec@5 88.750 (84.426) Epoch: [72][690/11272] Time 0.855 (0.783) Data 0.002 (0.007) Loss 1.5192 (1.6463) Prec@1 55.625 (55.765) Prec@5 86.875 (84.428) Epoch: [72][700/11272] Time 0.747 (0.783) Data 0.001 (0.006) Loss 1.5173 (1.6463) Prec@1 59.375 (55.766) Prec@5 86.250 (84.433) Epoch: [72][710/11272] Time 0.714 (0.783) Data 0.001 (0.006) Loss 1.9356 (1.6470) Prec@1 48.750 (55.750) Prec@5 81.875 (84.426) Epoch: [72][720/11272] Time 0.850 (0.783) Data 0.002 (0.006) Loss 1.6237 (1.6463) Prec@1 55.625 (55.745) Prec@5 87.500 (84.442) Epoch: [72][730/11272] Time 0.838 (0.783) Data 0.002 (0.006) Loss 1.6680 (1.6458) Prec@1 55.625 (55.744) Prec@5 86.250 (84.442) Epoch: [72][740/11272] Time 0.691 (0.783) Data 0.001 (0.006) Loss 1.8043 (1.6466) Prec@1 52.500 (55.735) Prec@5 81.875 (84.422) Epoch: [72][750/11272] Time 0.831 (0.783) Data 0.001 (0.006) Loss 1.7274 (1.6464) Prec@1 53.750 (55.739) Prec@5 83.750 (84.415) Epoch: [72][760/11272] Time 0.823 (0.783) Data 0.001 (0.006) Loss 1.7582 (1.6461) Prec@1 52.500 (55.751) Prec@5 80.000 (84.412) Epoch: [72][770/11272] Time 0.716 (0.783) Data 0.002 (0.006) Loss 1.6779 (1.6452) Prec@1 58.750 (55.780) Prec@5 84.375 (84.415) Epoch: [72][780/11272] Time 0.711 (0.783) Data 0.001 (0.006) Loss 1.5798 (1.6460) Prec@1 60.000 (55.783) Prec@5 89.375 (84.399) Epoch: [72][790/11272] Time 0.806 (0.783) Data 0.001 (0.006) Loss 1.4583 (1.6461) Prec@1 60.000 (55.761) Prec@5 86.250 (84.402) Epoch: [72][800/11272] Time 0.863 (0.783) Data 0.002 (0.006) Loss 1.7647 (1.6459) Prec@1 52.500 (55.772) Prec@5 81.250 (84.412) Epoch: [72][810/11272] Time 0.732 (0.783) Data 0.001 (0.006) Loss 1.7068 (1.6458) Prec@1 55.000 (55.771) Prec@5 84.375 (84.410) Epoch: [72][820/11272] Time 0.708 (0.783) Data 0.001 (0.006) Loss 1.7358 (1.6471) Prec@1 51.875 (55.745) Prec@5 81.250 (84.398) Epoch: [72][830/11272] Time 0.816 (0.783) Data 0.001 (0.006) Loss 1.7791 (1.6478) Prec@1 57.500 (55.739) Prec@5 81.875 (84.374) Epoch: [72][840/11272] Time 0.830 (0.783) Data 0.002 (0.006) Loss 1.7731 (1.6478) Prec@1 59.375 (55.732) Prec@5 83.125 (84.376) Epoch: [72][850/11272] Time 0.712 (0.782) Data 0.002 (0.006) Loss 1.6700 (1.6496) Prec@1 55.000 (55.685) Prec@5 85.000 (84.333) Epoch: [72][860/11272] Time 0.689 (0.782) Data 0.001 (0.006) Loss 1.7231 (1.6500) Prec@1 54.375 (55.682) Prec@5 83.750 (84.333) Epoch: [72][870/11272] Time 0.864 (0.783) Data 0.002 (0.005) Loss 1.6328 (1.6498) Prec@1 55.000 (55.685) Prec@5 87.500 (84.343) Epoch: [72][880/11272] Time 0.853 (0.782) Data 0.001 (0.005) Loss 1.7360 (1.6497) Prec@1 57.500 (55.691) Prec@5 81.875 (84.342) Epoch: [72][890/11272] Time 0.695 (0.782) Data 0.001 (0.005) Loss 1.4902 (1.6494) Prec@1 59.375 (55.687) Prec@5 85.625 (84.350) Epoch: [72][900/11272] Time 0.866 (0.782) Data 0.001 (0.005) Loss 1.8744 (1.6501) Prec@1 56.875 (55.680) Prec@5 77.500 (84.336) Epoch: [72][910/11272] Time 0.865 (0.782) Data 0.002 (0.005) Loss 1.8356 (1.6500) Prec@1 48.125 (55.672) Prec@5 83.750 (84.339) Epoch: [72][920/11272] Time 0.720 (0.782) Data 0.001 (0.005) Loss 1.6342 (1.6507) Prec@1 53.750 (55.656) Prec@5 85.625 (84.331) Epoch: [72][930/11272] Time 0.724 (0.782) Data 0.001 (0.005) Loss 1.3818 (1.6503) Prec@1 64.375 (55.667) Prec@5 90.000 (84.347) Epoch: [72][940/11272] Time 0.829 (0.782) Data 0.002 (0.005) Loss 1.7420 (1.6499) Prec@1 56.250 (55.673) Prec@5 84.375 (84.362) Epoch: [72][950/11272] Time 0.816 (0.782) Data 0.001 (0.005) Loss 1.7524 (1.6506) Prec@1 55.000 (55.651) Prec@5 84.375 (84.345) Epoch: [72][960/11272] Time 0.708 (0.782) Data 0.001 (0.005) Loss 1.4783 (1.6505) Prec@1 61.250 (55.648) Prec@5 88.750 (84.352) Epoch: [72][970/11272] Time 0.732 (0.782) Data 0.001 (0.005) Loss 1.6690 (1.6504) Prec@1 50.625 (55.634) Prec@5 81.250 (84.343) Epoch: [72][980/11272] Time 0.831 (0.782) Data 0.001 (0.005) Loss 2.0009 (1.6513) Prec@1 48.750 (55.616) Prec@5 78.125 (84.339) Epoch: [72][990/11272] Time 0.830 (0.782) Data 0.001 (0.005) Loss 1.7283 (1.6514) Prec@1 56.250 (55.616) Prec@5 83.125 (84.327) Epoch: [72][1000/11272] Time 0.733 (0.782) Data 0.001 (0.005) Loss 1.7123 (1.6515) Prec@1 54.375 (55.613) Prec@5 82.500 (84.323) Epoch: [72][1010/11272] Time 0.744 (0.782) Data 0.002 (0.005) Loss 1.6459 (1.6514) Prec@1 59.375 (55.612) Prec@5 85.000 (84.332) Epoch: [72][1020/11272] Time 0.811 (0.782) Data 0.001 (0.005) Loss 1.3914 (1.6509) Prec@1 65.000 (55.622) Prec@5 90.000 (84.342) Epoch: [72][1030/11272] Time 0.715 (0.782) Data 0.001 (0.005) Loss 1.8554 (1.6511) Prec@1 51.250 (55.615) Prec@5 79.375 (84.338) Epoch: [72][1040/11272] Time 0.725 (0.782) Data 0.001 (0.005) Loss 1.5298 (1.6509) Prec@1 58.125 (55.621) Prec@5 83.750 (84.334) Epoch: [72][1050/11272] Time 0.855 (0.782) Data 0.001 (0.005) Loss 1.6700 (1.6516) Prec@1 53.750 (55.612) Prec@5 81.875 (84.323) Epoch: [72][1060/11272] Time 0.829 (0.782) Data 0.002 (0.005) Loss 1.5429 (1.6520) Prec@1 61.875 (55.611) Prec@5 85.000 (84.308) Epoch: [72][1070/11272] Time 0.711 (0.782) Data 0.001 (0.005) Loss 1.4920 (1.6529) Prec@1 60.625 (55.600) Prec@5 87.500 (84.292) Epoch: [72][1080/11272] Time 0.723 (0.782) Data 0.001 (0.005) Loss 1.5624 (1.6528) Prec@1 58.750 (55.598) Prec@5 83.125 (84.296) Epoch: [72][1090/11272] Time 0.884 (0.782) Data 0.002 (0.005) Loss 1.3713 (1.6524) Prec@1 60.000 (55.600) Prec@5 88.750 (84.301) Epoch: [72][1100/11272] Time 0.801 (0.782) Data 0.001 (0.005) Loss 1.5629 (1.6525) Prec@1 55.625 (55.601) Prec@5 88.125 (84.301) Epoch: [72][1110/11272] Time 0.705 (0.782) Data 0.001 (0.005) Loss 1.8265 (1.6530) Prec@1 48.750 (55.588) Prec@5 81.250 (84.296) Epoch: [72][1120/11272] Time 0.710 (0.782) Data 0.001 (0.005) Loss 1.6135 (1.6539) Prec@1 57.500 (55.576) Prec@5 84.375 (84.279) Epoch: [72][1130/11272] Time 0.840 (0.782) Data 0.002 (0.005) Loss 1.4420 (1.6539) Prec@1 61.250 (55.582) Prec@5 89.375 (84.272) Epoch: [72][1140/11272] Time 0.871 (0.782) Data 0.002 (0.005) Loss 1.4690 (1.6534) Prec@1 59.375 (55.584) Prec@5 87.500 (84.274) Epoch: [72][1150/11272] Time 0.803 (0.782) Data 0.002 (0.005) Loss 1.8487 (1.6537) Prec@1 51.875 (55.586) Prec@5 83.750 (84.266) Epoch: [72][1160/11272] Time 0.872 (0.782) Data 0.002 (0.004) Loss 1.6272 (1.6534) Prec@1 62.500 (55.602) Prec@5 81.875 (84.267) Epoch: [72][1170/11272] Time 0.841 (0.782) Data 0.002 (0.004) Loss 1.3945 (1.6532) Prec@1 59.375 (55.592) Prec@5 92.500 (84.281) Epoch: [72][1180/11272] Time 0.761 (0.782) Data 0.002 (0.004) Loss 1.5485 (1.6530) Prec@1 59.375 (55.595) Prec@5 88.125 (84.286) Epoch: [72][1190/11272] Time 0.743 (0.782) Data 0.002 (0.004) Loss 1.7370 (1.6531) Prec@1 51.875 (55.584) Prec@5 82.500 (84.284) Epoch: [72][1200/11272] Time 0.848 (0.782) Data 0.002 (0.004) Loss 1.7299 (1.6534) Prec@1 55.000 (55.568) Prec@5 83.125 (84.274) Epoch: [72][1210/11272] Time 0.832 (0.782) Data 0.002 (0.004) Loss 1.8284 (1.6531) Prec@1 54.375 (55.582) Prec@5 80.625 (84.279) Epoch: [72][1220/11272] Time 0.727 (0.782) Data 0.001 (0.004) Loss 1.6196 (1.6531) Prec@1 58.750 (55.584) Prec@5 83.750 (84.277) Epoch: [72][1230/11272] Time 0.732 (0.782) Data 0.001 (0.004) Loss 1.5778 (1.6530) Prec@1 51.875 (55.577) Prec@5 84.375 (84.280) Epoch: [72][1240/11272] Time 0.829 (0.782) Data 0.002 (0.004) Loss 1.7236 (1.6529) Prec@1 55.625 (55.605) Prec@5 84.375 (84.277) Epoch: [72][1250/11272] Time 0.854 (0.782) Data 0.002 (0.004) Loss 1.4733 (1.6526) Prec@1 63.750 (55.611) Prec@5 84.375 (84.278) Epoch: [72][1260/11272] Time 0.726 (0.782) Data 0.002 (0.004) Loss 1.6179 (1.6529) Prec@1 58.125 (55.605) Prec@5 85.625 (84.272) Epoch: [72][1270/11272] Time 0.729 (0.782) Data 0.001 (0.004) Loss 1.5176 (1.6535) Prec@1 63.125 (55.595) Prec@5 85.000 (84.257) Epoch: [72][1280/11272] Time 0.840 (0.782) Data 0.002 (0.004) Loss 1.6351 (1.6536) Prec@1 56.250 (55.597) Prec@5 85.000 (84.252) Epoch: [72][1290/11272] Time 0.742 (0.782) Data 0.003 (0.004) Loss 1.6708 (1.6540) Prec@1 52.500 (55.589) Prec@5 84.375 (84.254) Epoch: [72][1300/11272] Time 0.717 (0.782) Data 0.001 (0.004) Loss 1.5173 (1.6538) Prec@1 60.000 (55.600) Prec@5 82.500 (84.253) Epoch: [72][1310/11272] Time 0.840 (0.782) Data 0.002 (0.004) Loss 1.8186 (1.6536) Prec@1 49.375 (55.605) Prec@5 83.125 (84.253) Epoch: [72][1320/11272] Time 0.840 (0.782) Data 0.001 (0.004) Loss 1.8836 (1.6542) Prec@1 44.375 (55.586) Prec@5 80.625 (84.244) Epoch: [72][1330/11272] Time 0.710 (0.782) Data 0.001 (0.004) Loss 1.6666 (1.6541) Prec@1 56.875 (55.591) Prec@5 85.625 (84.249) Epoch: [72][1340/11272] Time 0.721 (0.782) Data 0.001 (0.004) Loss 1.6834 (1.6543) Prec@1 57.500 (55.584) Prec@5 81.875 (84.249) Epoch: [72][1350/11272] Time 0.859 (0.782) Data 0.002 (0.004) Loss 1.5937 (1.6537) Prec@1 58.750 (55.594) Prec@5 85.625 (84.261) Epoch: [72][1360/11272] Time 0.859 (0.782) Data 0.002 (0.004) Loss 1.6339 (1.6533) Prec@1 53.125 (55.604) Prec@5 85.625 (84.271) Epoch: [72][1370/11272] Time 0.744 (0.782) Data 0.001 (0.004) Loss 1.8702 (1.6531) Prec@1 53.750 (55.616) Prec@5 78.125 (84.272) Epoch: [72][1380/11272] Time 0.766 (0.782) Data 0.001 (0.004) Loss 1.6017 (1.6534) Prec@1 58.125 (55.609) Prec@5 83.125 (84.269) Epoch: [72][1390/11272] Time 0.834 (0.782) Data 0.002 (0.004) Loss 1.6392 (1.6530) Prec@1 54.375 (55.629) Prec@5 86.250 (84.273) Epoch: [72][1400/11272] Time 0.838 (0.782) Data 0.002 (0.004) Loss 1.7530 (1.6533) Prec@1 55.625 (55.619) Prec@5 84.375 (84.272) Epoch: [72][1410/11272] Time 0.754 (0.782) Data 0.002 (0.004) Loss 1.8958 (1.6536) Prec@1 53.125 (55.615) Prec@5 81.250 (84.264) Epoch: [72][1420/11272] Time 0.917 (0.782) Data 0.001 (0.004) Loss 1.7171 (1.6535) Prec@1 58.125 (55.617) Prec@5 82.500 (84.265) Epoch: [72][1430/11272] Time 0.810 (0.782) Data 0.001 (0.004) Loss 1.9185 (1.6535) Prec@1 52.500 (55.621) Prec@5 79.375 (84.261) Epoch: [72][1440/11272] Time 0.755 (0.782) Data 0.002 (0.004) Loss 1.8372 (1.6533) Prec@1 53.125 (55.638) Prec@5 80.625 (84.262) Epoch: [72][1450/11272] Time 0.713 (0.782) Data 0.001 (0.004) Loss 1.6108 (1.6534) Prec@1 58.750 (55.640) Prec@5 83.750 (84.259) Epoch: [72][1460/11272] Time 0.901 (0.782) Data 0.002 (0.004) Loss 1.7958 (1.6536) Prec@1 51.875 (55.638) Prec@5 82.500 (84.254) Epoch: [72][1470/11272] Time 0.866 (0.782) Data 0.002 (0.004) Loss 1.8071 (1.6538) Prec@1 53.125 (55.627) Prec@5 83.125 (84.253) Epoch: [72][1480/11272] Time 0.711 (0.782) Data 0.001 (0.004) Loss 1.6514 (1.6534) Prec@1 55.625 (55.635) Prec@5 84.375 (84.259) Epoch: [72][1490/11272] Time 0.709 (0.782) Data 0.001 (0.004) Loss 1.8234 (1.6535) Prec@1 48.750 (55.631) Prec@5 82.500 (84.263) Epoch: [72][1500/11272] Time 0.795 (0.782) Data 0.001 (0.004) Loss 1.4697 (1.6536) Prec@1 58.750 (55.629) Prec@5 87.500 (84.262) Epoch: [72][1510/11272] Time 0.842 (0.782) Data 0.002 (0.004) Loss 1.5503 (1.6543) Prec@1 56.250 (55.618) Prec@5 85.000 (84.250) Epoch: [72][1520/11272] Time 0.714 (0.782) Data 0.001 (0.004) Loss 1.6891 (1.6545) Prec@1 56.250 (55.610) Prec@5 84.375 (84.248) Epoch: [72][1530/11272] Time 0.749 (0.782) Data 0.002 (0.004) Loss 1.6064 (1.6545) Prec@1 58.125 (55.611) Prec@5 86.250 (84.251) Epoch: [72][1540/11272] Time 0.822 (0.782) Data 0.001 (0.004) Loss 1.5584 (1.6542) Prec@1 58.750 (55.618) Prec@5 86.250 (84.250) Epoch: [72][1550/11272] Time 0.726 (0.782) Data 0.003 (0.004) Loss 1.9924 (1.6548) Prec@1 45.625 (55.603) Prec@5 78.125 (84.242) Epoch: [72][1560/11272] Time 0.694 (0.782) Data 0.001 (0.004) Loss 1.5744 (1.6542) Prec@1 56.875 (55.616) Prec@5 85.625 (84.251) Epoch: [72][1570/11272] Time 0.832 (0.782) Data 0.002 (0.004) Loss 1.5319 (1.6544) Prec@1 58.125 (55.612) Prec@5 86.250 (84.251) Epoch: [72][1580/11272] Time 0.867 (0.782) Data 0.002 (0.004) Loss 1.5786 (1.6543) Prec@1 55.625 (55.617) Prec@5 87.500 (84.254) Epoch: [72][1590/11272] Time 0.714 (0.782) Data 0.001 (0.004) Loss 1.7090 (1.6547) Prec@1 56.875 (55.621) Prec@5 83.125 (84.239) Epoch: [72][1600/11272] Time 0.694 (0.782) Data 0.001 (0.004) Loss 1.7042 (1.6546) Prec@1 55.000 (55.629) Prec@5 83.125 (84.243) Epoch: [72][1610/11272] Time 0.832 (0.782) Data 0.002 (0.004) Loss 1.8231 (1.6549) Prec@1 56.250 (55.629) Prec@5 78.750 (84.231) Epoch: [72][1620/11272] Time 0.883 (0.782) Data 0.002 (0.004) Loss 1.7657 (1.6554) Prec@1 55.625 (55.608) Prec@5 82.500 (84.230) Epoch: [72][1630/11272] Time 0.817 (0.782) Data 0.002 (0.004) Loss 1.4982 (1.6552) Prec@1 61.250 (55.614) Prec@5 87.500 (84.233) Epoch: [72][1640/11272] Time 0.727 (0.782) Data 0.001 (0.004) Loss 1.5076 (1.6551) Prec@1 60.000 (55.609) Prec@5 83.750 (84.235) Epoch: [72][1650/11272] Time 0.829 (0.782) Data 0.001 (0.004) Loss 1.7624 (1.6552) Prec@1 53.125 (55.609) Prec@5 81.875 (84.231) Epoch: [72][1660/11272] Time 0.850 (0.782) Data 0.002 (0.004) Loss 1.7411 (1.6554) Prec@1 47.500 (55.598) Prec@5 85.625 (84.234) Epoch: [72][1670/11272] Time 0.707 (0.782) Data 0.001 (0.004) Loss 1.6803 (1.6555) Prec@1 53.750 (55.584) Prec@5 85.625 (84.239) Epoch: [72][1680/11272] Time 0.805 (0.782) Data 0.001 (0.004) Loss 1.6690 (1.6555) Prec@1 56.250 (55.589) Prec@5 85.625 (84.240) Epoch: [72][1690/11272] Time 0.838 (0.782) Data 0.001 (0.004) Loss 1.8152 (1.6557) Prec@1 50.000 (55.578) Prec@5 82.500 (84.240) Epoch: [72][1700/11272] Time 0.720 (0.782) Data 0.001 (0.004) Loss 1.8843 (1.6558) Prec@1 55.000 (55.587) Prec@5 81.250 (84.238) Epoch: [72][1710/11272] Time 0.714 (0.782) Data 0.001 (0.004) Loss 1.7521 (1.6559) Prec@1 53.125 (55.588) Prec@5 85.000 (84.240) Epoch: [72][1720/11272] Time 0.837 (0.782) Data 0.001 (0.004) Loss 1.9572 (1.6560) Prec@1 50.625 (55.590) Prec@5 80.000 (84.236) Epoch: [72][1730/11272] Time 0.807 (0.782) Data 0.001 (0.004) Loss 1.6598 (1.6560) Prec@1 51.875 (55.582) Prec@5 85.000 (84.237) Epoch: [72][1740/11272] Time 0.719 (0.782) Data 0.001 (0.003) Loss 1.6825 (1.6561) Prec@1 55.625 (55.583) Prec@5 83.125 (84.238) Epoch: [72][1750/11272] Time 0.715 (0.782) Data 0.001 (0.003) Loss 1.6423 (1.6560) Prec@1 54.375 (55.585) Prec@5 87.500 (84.234) Epoch: [72][1760/11272] Time 0.816 (0.782) Data 0.001 (0.003) Loss 1.7194 (1.6560) Prec@1 53.750 (55.582) Prec@5 81.250 (84.238) Epoch: [72][1770/11272] Time 0.839 (0.782) Data 0.002 (0.003) Loss 1.5428 (1.6562) Prec@1 56.875 (55.581) Prec@5 86.250 (84.236) Epoch: [72][1780/11272] Time 0.751 (0.782) Data 0.002 (0.003) Loss 1.7432 (1.6564) Prec@1 54.375 (55.578) Prec@5 82.500 (84.231) Epoch: [72][1790/11272] Time 0.720 (0.782) Data 0.001 (0.003) Loss 1.7177 (1.6564) Prec@1 49.375 (55.581) Prec@5 82.500 (84.226) Epoch: [72][1800/11272] Time 0.857 (0.782) Data 0.002 (0.003) Loss 1.4682 (1.6566) Prec@1 60.000 (55.580) Prec@5 87.500 (84.225) Epoch: [72][1810/11272] Time 0.851 (0.782) Data 0.001 (0.003) Loss 1.6013 (1.6569) Prec@1 58.750 (55.578) Prec@5 84.375 (84.224) Epoch: [72][1820/11272] Time 0.715 (0.782) Data 0.001 (0.003) Loss 1.7649 (1.6567) Prec@1 59.375 (55.585) Prec@5 80.000 (84.228) Epoch: [72][1830/11272] Time 0.833 (0.782) Data 0.002 (0.003) Loss 1.6872 (1.6564) Prec@1 55.625 (55.585) Prec@5 83.750 (84.236) Epoch: [72][1840/11272] Time 0.844 (0.782) Data 0.002 (0.003) Loss 1.8158 (1.6570) Prec@1 53.125 (55.573) Prec@5 80.625 (84.224) Epoch: [72][1850/11272] Time 0.752 (0.782) Data 0.002 (0.003) Loss 1.7879 (1.6570) Prec@1 58.750 (55.575) Prec@5 83.125 (84.226) Epoch: [72][1860/11272] Time 0.752 (0.782) Data 0.001 (0.003) Loss 1.6971 (1.6566) Prec@1 53.750 (55.581) Prec@5 81.250 (84.230) Epoch: [72][1870/11272] Time 0.867 (0.782) Data 0.002 (0.003) Loss 1.7289 (1.6568) Prec@1 53.125 (55.570) Prec@5 83.125 (84.233) Epoch: [72][1880/11272] Time 0.802 (0.782) Data 0.001 (0.003) Loss 1.9131 (1.6570) Prec@1 47.500 (55.559) Prec@5 78.750 (84.230) Epoch: [72][1890/11272] Time 0.712 (0.782) Data 0.001 (0.003) Loss 1.4330 (1.6567) Prec@1 63.750 (55.565) Prec@5 85.000 (84.230) Epoch: [72][1900/11272] Time 0.742 (0.782) Data 0.002 (0.003) Loss 1.5794 (1.6567) Prec@1 60.000 (55.571) Prec@5 80.625 (84.230) Epoch: [72][1910/11272] Time 0.847 (0.782) Data 0.002 (0.003) Loss 1.4571 (1.6567) Prec@1 55.000 (55.570) Prec@5 90.000 (84.232) Epoch: [72][1920/11272] Time 0.853 (0.782) Data 0.002 (0.003) Loss 1.5599 (1.6569) Prec@1 58.750 (55.576) Prec@5 87.500 (84.228) Epoch: [72][1930/11272] Time 0.718 (0.782) Data 0.002 (0.003) Loss 1.5212 (1.6563) Prec@1 58.750 (55.586) Prec@5 86.250 (84.237) Epoch: [72][1940/11272] Time 0.715 (0.782) Data 0.002 (0.003) Loss 1.6262 (1.6562) Prec@1 58.125 (55.587) Prec@5 82.500 (84.239) Epoch: [72][1950/11272] Time 0.825 (0.782) Data 0.001 (0.003) Loss 1.5904 (1.6565) Prec@1 58.750 (55.585) Prec@5 83.750 (84.232) Epoch: [72][1960/11272] Time 0.738 (0.782) Data 0.001 (0.003) Loss 1.5482 (1.6562) Prec@1 56.875 (55.592) Prec@5 86.250 (84.239) Epoch: [72][1970/11272] Time 0.700 (0.782) Data 0.001 (0.003) Loss 1.6342 (1.6562) Prec@1 53.750 (55.591) Prec@5 84.375 (84.240) Epoch: [72][1980/11272] Time 0.838 (0.782) Data 0.001 (0.003) Loss 1.7161 (1.6560) Prec@1 52.500 (55.597) Prec@5 83.750 (84.242) Epoch: [72][1990/11272] Time 0.845 (0.782) Data 0.002 (0.003) Loss 1.7525 (1.6562) Prec@1 53.750 (55.593) Prec@5 82.500 (84.240) Epoch: [72][2000/11272] Time 0.714 (0.782) Data 0.001 (0.003) Loss 1.6461 (1.6562) Prec@1 54.375 (55.597) Prec@5 86.250 (84.241) Epoch: [72][2010/11272] Time 0.710 (0.782) Data 0.001 (0.003) Loss 1.7142 (1.6564) Prec@1 54.375 (55.591) Prec@5 85.000 (84.239) Epoch: [72][2020/11272] Time 0.800 (0.782) Data 0.001 (0.003) Loss 1.6259 (1.6564) Prec@1 60.000 (55.591) Prec@5 85.625 (84.240) Epoch: [72][2030/11272] Time 0.840 (0.782) Data 0.002 (0.003) Loss 1.8640 (1.6569) Prec@1 48.750 (55.577) Prec@5 81.875 (84.233) Epoch: [72][2040/11272] Time 0.698 (0.781) Data 0.001 (0.003) Loss 1.5571 (1.6570) Prec@1 56.250 (55.572) Prec@5 88.750 (84.237) Epoch: [72][2050/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.5367 (1.6571) Prec@1 58.750 (55.570) Prec@5 88.125 (84.239) Epoch: [72][2060/11272] Time 0.817 (0.781) Data 0.001 (0.003) Loss 1.7290 (1.6573) Prec@1 50.625 (55.567) Prec@5 82.500 (84.238) Epoch: [72][2070/11272] Time 0.828 (0.781) Data 0.002 (0.003) Loss 1.7288 (1.6573) Prec@1 53.750 (55.560) Prec@5 85.000 (84.237) Epoch: [72][2080/11272] Time 0.696 (0.781) Data 0.001 (0.003) Loss 1.6383 (1.6572) Prec@1 55.000 (55.563) Prec@5 83.125 (84.241) Epoch: [72][2090/11272] Time 0.828 (0.781) Data 0.001 (0.003) Loss 1.6516 (1.6568) Prec@1 56.250 (55.577) Prec@5 83.750 (84.248) Epoch: [72][2100/11272] Time 0.843 (0.781) Data 0.002 (0.003) Loss 1.6313 (1.6568) Prec@1 55.000 (55.574) Prec@5 84.375 (84.249) Epoch: [72][2110/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.5765 (1.6569) Prec@1 56.250 (55.570) Prec@5 84.375 (84.247) Epoch: [72][2120/11272] Time 0.733 (0.781) Data 0.001 (0.003) Loss 1.7362 (1.6568) Prec@1 56.250 (55.570) Prec@5 83.125 (84.247) Epoch: [72][2130/11272] Time 0.816 (0.781) Data 0.001 (0.003) Loss 1.5000 (1.6567) Prec@1 60.625 (55.576) Prec@5 86.250 (84.252) Epoch: [72][2140/11272] Time 0.813 (0.781) Data 0.002 (0.003) Loss 1.6241 (1.6569) Prec@1 58.750 (55.579) Prec@5 83.750 (84.245) Epoch: [72][2150/11272] Time 0.725 (0.781) Data 0.001 (0.003) Loss 1.7484 (1.6572) Prec@1 57.500 (55.579) Prec@5 82.500 (84.236) Epoch: [72][2160/11272] Time 0.728 (0.781) Data 0.002 (0.003) Loss 1.6335 (1.6572) Prec@1 58.125 (55.577) Prec@5 84.375 (84.235) Epoch: [72][2170/11272] Time 0.822 (0.781) Data 0.001 (0.003) Loss 1.7122 (1.6575) Prec@1 56.250 (55.580) Prec@5 85.625 (84.230) Epoch: [72][2180/11272] Time 0.812 (0.781) Data 0.001 (0.003) Loss 1.7067 (1.6576) Prec@1 54.375 (55.579) Prec@5 83.750 (84.230) Epoch: [72][2190/11272] Time 0.718 (0.781) Data 0.001 (0.003) Loss 1.7715 (1.6580) Prec@1 56.250 (55.573) Prec@5 80.000 (84.223) Epoch: [72][2200/11272] Time 0.713 (0.781) Data 0.001 (0.003) Loss 1.5103 (1.6578) Prec@1 58.750 (55.578) Prec@5 85.625 (84.226) Epoch: [72][2210/11272] Time 0.891 (0.781) Data 0.002 (0.003) Loss 1.5621 (1.6576) Prec@1 62.500 (55.588) Prec@5 83.750 (84.226) Epoch: [72][2220/11272] Time 0.727 (0.781) Data 0.003 (0.003) Loss 1.6427 (1.6576) Prec@1 53.750 (55.589) Prec@5 85.625 (84.227) Epoch: [72][2230/11272] Time 0.734 (0.781) Data 0.002 (0.003) Loss 1.6514 (1.6576) Prec@1 56.875 (55.589) Prec@5 85.000 (84.224) Epoch: [72][2240/11272] Time 0.801 (0.781) Data 0.001 (0.003) Loss 1.8554 (1.6577) Prec@1 51.875 (55.583) Prec@5 79.375 (84.220) Epoch: [72][2250/11272] Time 0.795 (0.781) Data 0.001 (0.003) Loss 1.6619 (1.6576) Prec@1 58.125 (55.588) Prec@5 80.625 (84.215) Epoch: [72][2260/11272] Time 0.747 (0.781) Data 0.002 (0.003) Loss 1.6621 (1.6577) Prec@1 56.875 (55.584) Prec@5 85.000 (84.213) Epoch: [72][2270/11272] Time 0.723 (0.781) Data 0.002 (0.003) Loss 1.9855 (1.6579) Prec@1 45.625 (55.584) Prec@5 78.125 (84.211) Epoch: [72][2280/11272] Time 0.816 (0.781) Data 0.001 (0.003) Loss 1.6433 (1.6580) Prec@1 50.000 (55.577) Prec@5 85.625 (84.204) Epoch: [72][2290/11272] Time 0.836 (0.781) Data 0.001 (0.003) Loss 1.6651 (1.6579) Prec@1 55.625 (55.581) Prec@5 83.125 (84.206) Epoch: [72][2300/11272] Time 0.718 (0.781) Data 0.002 (0.003) Loss 1.5879 (1.6579) Prec@1 61.875 (55.582) Prec@5 83.125 (84.206) Epoch: [72][2310/11272] Time 0.737 (0.781) Data 0.002 (0.003) Loss 1.5871 (1.6578) Prec@1 56.875 (55.583) Prec@5 83.750 (84.208) Epoch: [72][2320/11272] Time 0.864 (0.781) Data 0.002 (0.003) Loss 1.6419 (1.6579) Prec@1 59.375 (55.581) Prec@5 84.375 (84.206) Epoch: [72][2330/11272] Time 0.907 (0.781) Data 0.002 (0.003) Loss 1.6734 (1.6579) Prec@1 53.750 (55.579) Prec@5 83.125 (84.205) Epoch: [72][2340/11272] Time 0.728 (0.781) Data 0.001 (0.003) Loss 1.6170 (1.6576) Prec@1 60.000 (55.589) Prec@5 85.000 (84.206) Epoch: [72][2350/11272] Time 0.814 (0.781) Data 0.001 (0.003) Loss 1.8401 (1.6574) Prec@1 55.000 (55.599) Prec@5 76.875 (84.207) Epoch: [72][2360/11272] Time 0.830 (0.781) Data 0.002 (0.003) Loss 1.7464 (1.6575) Prec@1 55.625 (55.602) Prec@5 81.250 (84.205) Epoch: [72][2370/11272] Time 0.761 (0.781) Data 0.002 (0.003) Loss 1.4586 (1.6576) Prec@1 57.500 (55.598) Prec@5 88.125 (84.204) Epoch: [72][2380/11272] Time 0.707 (0.781) Data 0.001 (0.003) Loss 1.7321 (1.6578) Prec@1 55.000 (55.597) Prec@5 80.625 (84.200) Epoch: [72][2390/11272] Time 0.864 (0.781) Data 0.002 (0.003) Loss 1.7666 (1.6577) Prec@1 50.000 (55.596) Prec@5 82.500 (84.203) Epoch: [72][2400/11272] Time 0.848 (0.781) Data 0.001 (0.003) Loss 1.7088 (1.6577) Prec@1 52.500 (55.591) Prec@5 81.250 (84.202) Epoch: [72][2410/11272] Time 0.702 (0.781) Data 0.001 (0.003) Loss 1.5379 (1.6576) Prec@1 56.875 (55.597) Prec@5 86.250 (84.204) Epoch: [72][2420/11272] Time 0.706 (0.781) Data 0.001 (0.003) Loss 1.8788 (1.6575) Prec@1 48.125 (55.595) Prec@5 82.500 (84.210) Epoch: [72][2430/11272] Time 0.855 (0.781) Data 0.002 (0.003) Loss 1.9493 (1.6578) Prec@1 48.750 (55.589) Prec@5 76.250 (84.205) Epoch: [72][2440/11272] Time 0.837 (0.781) Data 0.001 (0.003) Loss 1.7782 (1.6579) Prec@1 50.000 (55.584) Prec@5 81.875 (84.201) Epoch: [72][2450/11272] Time 0.764 (0.781) Data 0.001 (0.003) Loss 1.7282 (1.6579) Prec@1 51.875 (55.585) Prec@5 84.375 (84.200) Epoch: [72][2460/11272] Time 0.722 (0.781) Data 0.001 (0.003) Loss 1.7345 (1.6580) Prec@1 51.875 (55.580) Prec@5 85.625 (84.204) Epoch: [72][2470/11272] Time 0.832 (0.781) Data 0.002 (0.003) Loss 1.6765 (1.6580) Prec@1 53.125 (55.579) Prec@5 86.875 (84.204) Epoch: [72][2480/11272] Time 0.746 (0.781) Data 0.003 (0.003) Loss 1.6003 (1.6581) Prec@1 58.125 (55.578) Prec@5 88.125 (84.203) Epoch: [72][2490/11272] Time 0.707 (0.781) Data 0.001 (0.003) Loss 1.4406 (1.6580) Prec@1 61.250 (55.587) Prec@5 88.750 (84.207) Epoch: [72][2500/11272] Time 0.836 (0.781) Data 0.002 (0.003) Loss 1.7019 (1.6580) Prec@1 52.500 (55.585) Prec@5 81.250 (84.207) Epoch: [72][2510/11272] Time 0.847 (0.781) Data 0.002 (0.003) Loss 1.5973 (1.6579) Prec@1 57.500 (55.584) Prec@5 85.000 (84.206) Epoch: [72][2520/11272] Time 0.741 (0.781) Data 0.002 (0.003) Loss 1.8184 (1.6579) Prec@1 49.375 (55.578) Prec@5 79.375 (84.204) Epoch: [72][2530/11272] Time 0.757 (0.781) Data 0.002 (0.003) Loss 1.6232 (1.6581) Prec@1 56.875 (55.571) Prec@5 84.375 (84.199) Epoch: [72][2540/11272] Time 0.838 (0.781) Data 0.001 (0.003) Loss 1.6196 (1.6583) Prec@1 52.500 (55.566) Prec@5 85.000 (84.194) Epoch: [72][2550/11272] Time 0.837 (0.781) Data 0.002 (0.003) Loss 1.7848 (1.6585) Prec@1 51.875 (55.559) Prec@5 80.625 (84.190) Epoch: [72][2560/11272] Time 0.759 (0.781) Data 0.002 (0.003) Loss 1.7768 (1.6586) Prec@1 58.125 (55.557) Prec@5 80.000 (84.188) Epoch: [72][2570/11272] Time 0.720 (0.781) Data 0.001 (0.003) Loss 1.7448 (1.6586) Prec@1 52.500 (55.557) Prec@5 84.375 (84.187) Epoch: [72][2580/11272] Time 0.834 (0.781) Data 0.002 (0.003) Loss 1.7272 (1.6584) Prec@1 55.625 (55.564) Prec@5 83.125 (84.191) Epoch: [72][2590/11272] Time 0.830 (0.781) Data 0.002 (0.003) Loss 1.7404 (1.6586) Prec@1 53.750 (55.556) Prec@5 85.625 (84.190) Epoch: [72][2600/11272] Time 0.736 (0.781) Data 0.001 (0.003) Loss 1.6528 (1.6586) Prec@1 58.125 (55.563) Prec@5 81.875 (84.188) Epoch: [72][2610/11272] Time 0.797 (0.781) Data 0.001 (0.003) Loss 1.0804 (1.6585) Prec@1 70.625 (55.566) Prec@5 92.500 (84.191) Epoch: [72][2620/11272] Time 0.840 (0.781) Data 0.001 (0.003) Loss 1.9324 (1.6585) Prec@1 51.250 (55.568) Prec@5 81.250 (84.191) Epoch: [72][2630/11272] Time 0.716 (0.781) Data 0.001 (0.003) Loss 1.6631 (1.6585) Prec@1 53.750 (55.560) Prec@5 85.000 (84.189) Epoch: [72][2640/11272] Time 0.710 (0.781) Data 0.001 (0.003) Loss 1.8388 (1.6588) Prec@1 51.875 (55.558) Prec@5 80.625 (84.182) Epoch: [72][2650/11272] Time 0.831 (0.781) Data 0.001 (0.003) Loss 1.7810 (1.6587) Prec@1 51.875 (55.555) Prec@5 80.000 (84.183) Epoch: [72][2660/11272] Time 0.836 (0.781) Data 0.002 (0.003) Loss 1.7126 (1.6589) Prec@1 55.000 (55.550) Prec@5 85.000 (84.182) Epoch: [72][2670/11272] Time 0.710 (0.781) Data 0.001 (0.003) Loss 1.6177 (1.6590) Prec@1 60.625 (55.550) Prec@5 85.625 (84.180) Epoch: [72][2680/11272] Time 0.717 (0.781) Data 0.001 (0.003) Loss 1.8168 (1.6587) Prec@1 52.500 (55.557) Prec@5 83.750 (84.184) Epoch: [72][2690/11272] Time 0.851 (0.781) Data 0.001 (0.003) Loss 1.6064 (1.6587) Prec@1 58.750 (55.560) Prec@5 85.625 (84.183) Epoch: [72][2700/11272] Time 0.869 (0.781) Data 0.002 (0.003) Loss 1.6948 (1.6589) Prec@1 50.000 (55.552) Prec@5 81.250 (84.181) Epoch: [72][2710/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.6413 (1.6591) Prec@1 55.000 (55.547) Prec@5 83.125 (84.180) Epoch: [72][2720/11272] Time 0.745 (0.781) Data 0.001 (0.003) Loss 1.6663 (1.6592) Prec@1 52.500 (55.543) Prec@5 86.250 (84.178) Epoch: [72][2730/11272] Time 0.811 (0.781) Data 0.001 (0.003) Loss 1.5962 (1.6590) Prec@1 54.375 (55.547) Prec@5 84.375 (84.177) Epoch: [72][2740/11272] Time 0.810 (0.781) Data 0.001 (0.003) Loss 1.8332 (1.6591) Prec@1 53.125 (55.545) Prec@5 80.625 (84.171) Epoch: [72][2750/11272] Time 0.744 (0.781) Data 0.002 (0.003) Loss 1.5376 (1.6593) Prec@1 54.375 (55.540) Prec@5 88.750 (84.168) Epoch: [72][2760/11272] Time 0.824 (0.781) Data 0.001 (0.003) Loss 1.7201 (1.6593) Prec@1 54.375 (55.541) Prec@5 83.750 (84.169) Epoch: [72][2770/11272] Time 0.855 (0.781) Data 0.002 (0.003) Loss 1.5942 (1.6594) Prec@1 57.500 (55.539) Prec@5 88.750 (84.171) Epoch: [72][2780/11272] Time 0.738 (0.781) Data 0.002 (0.003) Loss 1.6127 (1.6594) Prec@1 62.500 (55.541) Prec@5 85.625 (84.171) Epoch: [72][2790/11272] Time 0.744 (0.781) Data 0.002 (0.003) Loss 1.5043 (1.6593) Prec@1 59.375 (55.540) Prec@5 88.125 (84.175) Epoch: [72][2800/11272] Time 0.828 (0.781) Data 0.002 (0.003) Loss 1.7017 (1.6590) Prec@1 53.750 (55.547) Prec@5 86.250 (84.181) Epoch: [72][2810/11272] Time 0.849 (0.781) Data 0.002 (0.003) Loss 1.5926 (1.6590) Prec@1 58.125 (55.549) Prec@5 84.375 (84.181) Epoch: [72][2820/11272] Time 0.716 (0.781) Data 0.002 (0.003) Loss 1.5887 (1.6591) Prec@1 53.750 (55.544) Prec@5 86.875 (84.184) Epoch: [72][2830/11272] Time 0.746 (0.781) Data 0.001 (0.003) Loss 1.6551 (1.6590) Prec@1 58.125 (55.541) Prec@5 82.500 (84.188) Epoch: [72][2840/11272] Time 0.849 (0.781) Data 0.002 (0.003) Loss 1.5481 (1.6590) Prec@1 56.250 (55.535) Prec@5 86.875 (84.192) Epoch: [72][2850/11272] Time 0.806 (0.781) Data 0.001 (0.003) Loss 1.5075 (1.6590) Prec@1 58.125 (55.536) Prec@5 84.375 (84.191) Epoch: [72][2860/11272] Time 0.707 (0.781) Data 0.001 (0.003) Loss 1.6443 (1.6592) Prec@1 53.750 (55.530) Prec@5 86.875 (84.193) Epoch: [72][2870/11272] Time 0.722 (0.781) Data 0.001 (0.003) Loss 1.5343 (1.6592) Prec@1 56.875 (55.531) Prec@5 86.875 (84.194) Epoch: [72][2880/11272] Time 0.843 (0.781) Data 0.002 (0.003) Loss 1.5895 (1.6594) Prec@1 56.250 (55.527) Prec@5 85.000 (84.191) Epoch: [72][2890/11272] Time 0.686 (0.781) Data 0.001 (0.003) Loss 1.7955 (1.6595) Prec@1 57.500 (55.524) Prec@5 79.375 (84.191) Epoch: [72][2900/11272] Time 0.731 (0.781) Data 0.001 (0.003) Loss 1.7427 (1.6594) Prec@1 54.375 (55.525) Prec@5 79.375 (84.191) Epoch: [72][2910/11272] Time 0.831 (0.781) Data 0.001 (0.003) Loss 1.5681 (1.6595) Prec@1 55.625 (55.520) Prec@5 83.750 (84.190) Epoch: [72][2920/11272] Time 0.836 (0.781) Data 0.001 (0.003) Loss 1.8462 (1.6594) Prec@1 52.500 (55.520) Prec@5 81.250 (84.192) Epoch: [72][2930/11272] Time 0.708 (0.781) Data 0.001 (0.003) Loss 1.7621 (1.6592) Prec@1 50.000 (55.523) Prec@5 82.500 (84.195) Epoch: [72][2940/11272] Time 0.706 (0.781) Data 0.001 (0.003) Loss 1.8495 (1.6593) Prec@1 54.375 (55.518) Prec@5 80.625 (84.194) Epoch: [72][2950/11272] Time 0.839 (0.781) Data 0.002 (0.003) Loss 1.6136 (1.6593) Prec@1 57.500 (55.518) Prec@5 83.125 (84.197) Epoch: [72][2960/11272] Time 0.826 (0.781) Data 0.001 (0.003) Loss 1.4520 (1.6593) Prec@1 53.125 (55.511) Prec@5 85.000 (84.196) Epoch: [72][2970/11272] Time 0.711 (0.781) Data 0.001 (0.003) Loss 1.7896 (1.6594) Prec@1 50.000 (55.506) Prec@5 83.750 (84.195) Epoch: [72][2980/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.5877 (1.6595) Prec@1 58.750 (55.505) Prec@5 86.250 (84.196) Epoch: [72][2990/11272] Time 0.818 (0.781) Data 0.001 (0.003) Loss 1.5950 (1.6594) Prec@1 58.125 (55.508) Prec@5 85.000 (84.197) Epoch: [72][3000/11272] Time 0.833 (0.781) Data 0.002 (0.003) Loss 1.9359 (1.6598) Prec@1 48.125 (55.503) Prec@5 83.750 (84.193) Epoch: [72][3010/11272] Time 0.714 (0.781) Data 0.001 (0.003) Loss 1.5613 (1.6597) Prec@1 60.000 (55.506) Prec@5 83.125 (84.197) Epoch: [72][3020/11272] Time 0.813 (0.781) Data 0.001 (0.003) Loss 1.3565 (1.6596) Prec@1 65.625 (55.508) Prec@5 89.375 (84.201) Epoch: [72][3030/11272] Time 0.861 (0.781) Data 0.002 (0.003) Loss 1.8064 (1.6596) Prec@1 52.500 (55.508) Prec@5 83.125 (84.198) Epoch: [72][3040/11272] Time 0.726 (0.781) Data 0.001 (0.003) Loss 1.6271 (1.6596) Prec@1 56.250 (55.506) Prec@5 81.875 (84.199) Epoch: [72][3050/11272] Time 0.714 (0.781) Data 0.001 (0.003) Loss 1.7370 (1.6596) Prec@1 55.625 (55.509) Prec@5 83.750 (84.201) Epoch: [72][3060/11272] Time 0.863 (0.781) Data 0.002 (0.003) Loss 1.6041 (1.6596) Prec@1 52.500 (55.509) Prec@5 86.250 (84.199) Epoch: [72][3070/11272] Time 0.832 (0.781) Data 0.001 (0.003) Loss 1.5815 (1.6595) Prec@1 56.250 (55.508) Prec@5 86.875 (84.202) Epoch: [72][3080/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.7543 (1.6596) Prec@1 55.000 (55.508) Prec@5 85.000 (84.201) Epoch: [72][3090/11272] Time 0.716 (0.781) Data 0.002 (0.003) Loss 1.7746 (1.6598) Prec@1 53.125 (55.504) Prec@5 82.500 (84.196) Epoch: [72][3100/11272] Time 0.841 (0.781) Data 0.002 (0.003) Loss 1.8484 (1.6597) Prec@1 55.000 (55.505) Prec@5 81.875 (84.198) Epoch: [72][3110/11272] Time 0.825 (0.781) Data 0.001 (0.003) Loss 1.5623 (1.6595) Prec@1 58.750 (55.505) Prec@5 83.125 (84.202) Epoch: [72][3120/11272] Time 0.724 (0.781) Data 0.001 (0.003) Loss 1.5852 (1.6597) Prec@1 53.125 (55.499) Prec@5 85.625 (84.200) Epoch: [72][3130/11272] Time 0.723 (0.781) Data 0.001 (0.003) Loss 1.6511 (1.6594) Prec@1 48.750 (55.501) Prec@5 86.875 (84.204) Epoch: [72][3140/11272] Time 0.914 (0.781) Data 0.001 (0.003) Loss 1.6313 (1.6594) Prec@1 53.125 (55.497) Prec@5 85.000 (84.205) Epoch: [72][3150/11272] Time 0.743 (0.781) Data 0.004 (0.003) Loss 1.6522 (1.6596) Prec@1 55.000 (55.491) Prec@5 83.750 (84.200) Epoch: [72][3160/11272] Time 0.716 (0.781) Data 0.001 (0.003) Loss 1.4240 (1.6597) Prec@1 59.375 (55.488) Prec@5 87.500 (84.197) Epoch: [72][3170/11272] Time 0.821 (0.781) Data 0.002 (0.003) Loss 1.7573 (1.6599) Prec@1 51.875 (55.485) Prec@5 79.375 (84.193) Epoch: [72][3180/11272] Time 0.817 (0.781) Data 0.002 (0.003) Loss 1.4398 (1.6596) Prec@1 62.500 (55.491) Prec@5 86.875 (84.198) Epoch: [72][3190/11272] Time 0.694 (0.781) Data 0.001 (0.003) Loss 1.6833 (1.6597) Prec@1 57.500 (55.489) Prec@5 81.250 (84.194) Epoch: [72][3200/11272] Time 0.718 (0.781) Data 0.001 (0.003) Loss 1.6891 (1.6598) Prec@1 57.500 (55.484) Prec@5 80.000 (84.192) Epoch: [72][3210/11272] Time 0.834 (0.781) Data 0.002 (0.003) Loss 1.7279 (1.6597) Prec@1 56.875 (55.490) Prec@5 81.250 (84.193) Epoch: [72][3220/11272] Time 0.831 (0.781) Data 0.002 (0.003) Loss 1.8017 (1.6599) Prec@1 53.125 (55.488) Prec@5 78.750 (84.191) Epoch: [72][3230/11272] Time 0.715 (0.781) Data 0.001 (0.003) Loss 1.5205 (1.6597) Prec@1 53.750 (55.489) Prec@5 86.875 (84.195) Epoch: [72][3240/11272] Time 0.710 (0.781) Data 0.001 (0.003) Loss 1.6045 (1.6600) Prec@1 53.125 (55.482) Prec@5 85.000 (84.191) Epoch: [72][3250/11272] Time 0.876 (0.781) Data 0.002 (0.003) Loss 1.7284 (1.6598) Prec@1 52.500 (55.485) Prec@5 81.250 (84.195) Epoch: [72][3260/11272] Time 0.835 (0.781) Data 0.002 (0.003) Loss 1.7327 (1.6597) Prec@1 53.125 (55.486) Prec@5 85.625 (84.201) Epoch: [72][3270/11272] Time 0.709 (0.781) Data 0.001 (0.003) Loss 1.4807 (1.6596) Prec@1 58.750 (55.491) Prec@5 86.250 (84.204) Epoch: [72][3280/11272] Time 0.866 (0.781) Data 0.001 (0.003) Loss 1.5366 (1.6599) Prec@1 60.625 (55.487) Prec@5 85.625 (84.197) Epoch: [72][3290/11272] Time 0.860 (0.781) Data 0.002 (0.003) Loss 1.5866 (1.6598) Prec@1 57.500 (55.490) Prec@5 81.250 (84.197) Epoch: [72][3300/11272] Time 0.706 (0.781) Data 0.001 (0.003) Loss 1.8150 (1.6600) Prec@1 50.625 (55.488) Prec@5 82.500 (84.196) Epoch: [72][3310/11272] Time 0.723 (0.781) Data 0.002 (0.003) Loss 1.6088 (1.6600) Prec@1 60.000 (55.488) Prec@5 86.875 (84.199) Epoch: [72][3320/11272] Time 0.817 (0.781) Data 0.001 (0.003) Loss 1.6004 (1.6601) Prec@1 60.625 (55.487) Prec@5 86.250 (84.201) Epoch: [72][3330/11272] Time 0.853 (0.781) Data 0.002 (0.003) Loss 1.3324 (1.6602) Prec@1 56.250 (55.483) Prec@5 90.625 (84.200) Epoch: [72][3340/11272] Time 0.710 (0.781) Data 0.001 (0.003) Loss 1.7399 (1.6604) Prec@1 56.250 (55.483) Prec@5 78.750 (84.194) Epoch: [72][3350/11272] Time 0.723 (0.781) Data 0.001 (0.003) Loss 1.7331 (1.6605) Prec@1 56.250 (55.480) Prec@5 81.875 (84.189) Epoch: [72][3360/11272] Time 0.855 (0.781) Data 0.002 (0.003) Loss 1.3826 (1.6603) Prec@1 61.250 (55.486) Prec@5 88.125 (84.193) Epoch: [72][3370/11272] Time 0.887 (0.781) Data 0.002 (0.003) Loss 1.6895 (1.6604) Prec@1 54.375 (55.485) Prec@5 86.250 (84.193) Epoch: [72][3380/11272] Time 0.712 (0.781) Data 0.001 (0.003) Loss 1.7317 (1.6605) Prec@1 55.625 (55.481) Prec@5 85.000 (84.190) Epoch: [72][3390/11272] Time 0.766 (0.781) Data 0.002 (0.003) Loss 1.4276 (1.6606) Prec@1 60.625 (55.475) Prec@5 88.125 (84.191) Epoch: [72][3400/11272] Time 0.817 (0.781) Data 0.002 (0.003) Loss 1.7054 (1.6608) Prec@1 53.125 (55.478) Prec@5 82.500 (84.188) Epoch: [72][3410/11272] Time 0.768 (0.781) Data 0.003 (0.003) Loss 1.9331 (1.6609) Prec@1 51.250 (55.474) Prec@5 78.125 (84.186) Epoch: [72][3420/11272] Time 0.714 (0.781) Data 0.001 (0.003) Loss 1.5174 (1.6608) Prec@1 56.250 (55.472) Prec@5 85.625 (84.185) Epoch: [72][3430/11272] Time 0.839 (0.781) Data 0.002 (0.003) Loss 1.7566 (1.6608) Prec@1 51.875 (55.467) Prec@5 86.250 (84.188) Epoch: [72][3440/11272] Time 0.860 (0.782) Data 0.002 (0.003) Loss 1.5942 (1.6608) Prec@1 56.250 (55.472) Prec@5 83.750 (84.189) Epoch: [72][3450/11272] Time 0.721 (0.781) Data 0.002 (0.003) Loss 1.4983 (1.6608) Prec@1 59.375 (55.472) Prec@5 90.000 (84.188) Epoch: [72][3460/11272] Time 0.723 (0.781) Data 0.002 (0.003) Loss 1.7296 (1.6610) Prec@1 54.375 (55.466) Prec@5 85.000 (84.188) Epoch: [72][3470/11272] Time 0.842 (0.781) Data 0.002 (0.003) Loss 1.7051 (1.6612) Prec@1 53.125 (55.461) Prec@5 85.625 (84.187) Epoch: [72][3480/11272] Time 0.878 (0.782) Data 0.002 (0.003) Loss 1.5387 (1.6614) Prec@1 55.625 (55.458) Prec@5 88.750 (84.186) Epoch: [72][3490/11272] Time 0.733 (0.781) Data 0.002 (0.003) Loss 1.8035 (1.6613) Prec@1 54.375 (55.460) Prec@5 82.500 (84.186) Epoch: [72][3500/11272] Time 0.713 (0.781) Data 0.001 (0.002) Loss 1.7544 (1.6612) Prec@1 50.625 (55.466) Prec@5 86.875 (84.190) Epoch: [72][3510/11272] Time 0.832 (0.781) Data 0.002 (0.002) Loss 1.7479 (1.6613) Prec@1 50.000 (55.462) Prec@5 82.500 (84.188) Epoch: [72][3520/11272] Time 0.842 (0.781) Data 0.002 (0.002) Loss 1.6722 (1.6611) Prec@1 56.250 (55.465) Prec@5 85.625 (84.192) Epoch: [72][3530/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.6025 (1.6611) Prec@1 58.125 (55.465) Prec@5 85.000 (84.191) Epoch: [72][3540/11272] Time 0.797 (0.781) Data 0.001 (0.002) Loss 1.5388 (1.6612) Prec@1 58.125 (55.460) Prec@5 82.500 (84.189) Epoch: [72][3550/11272] Time 0.864 (0.781) Data 0.002 (0.002) Loss 1.6398 (1.6613) Prec@1 55.000 (55.458) Prec@5 85.000 (84.188) Epoch: [72][3560/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.5296 (1.6611) Prec@1 55.625 (55.463) Prec@5 87.500 (84.188) Epoch: [72][3570/11272] Time 0.708 (0.781) Data 0.001 (0.002) Loss 1.8208 (1.6609) Prec@1 48.125 (55.470) Prec@5 81.250 (84.190) Epoch: [72][3580/11272] Time 0.830 (0.781) Data 0.001 (0.002) Loss 1.6485 (1.6609) Prec@1 51.875 (55.470) Prec@5 86.875 (84.192) Epoch: [72][3590/11272] Time 0.833 (0.781) Data 0.001 (0.002) Loss 1.5657 (1.6608) Prec@1 55.625 (55.472) Prec@5 83.750 (84.190) Epoch: [72][3600/11272] Time 0.704 (0.781) Data 0.001 (0.002) Loss 1.5321 (1.6607) Prec@1 54.375 (55.472) Prec@5 85.000 (84.188) Epoch: [72][3610/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 1.7374 (1.6607) Prec@1 55.625 (55.468) Prec@5 83.750 (84.190) Epoch: [72][3620/11272] Time 0.863 (0.781) Data 0.002 (0.002) Loss 1.5173 (1.6607) Prec@1 61.250 (55.468) Prec@5 90.000 (84.190) Epoch: [72][3630/11272] Time 0.804 (0.781) Data 0.001 (0.002) Loss 1.7665 (1.6606) Prec@1 60.000 (55.468) Prec@5 81.875 (84.191) Epoch: [72][3640/11272] Time 0.708 (0.781) Data 0.002 (0.002) Loss 1.6139 (1.6607) Prec@1 54.375 (55.466) Prec@5 81.875 (84.187) Epoch: [72][3650/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 1.8503 (1.6610) Prec@1 51.250 (55.453) Prec@5 81.875 (84.182) Epoch: [72][3660/11272] Time 0.808 (0.781) Data 0.001 (0.002) Loss 1.5768 (1.6611) Prec@1 58.750 (55.453) Prec@5 86.250 (84.180) Epoch: [72][3670/11272] Time 0.893 (0.781) Data 0.002 (0.002) Loss 1.6030 (1.6610) Prec@1 56.875 (55.455) Prec@5 84.375 (84.182) Epoch: [72][3680/11272] Time 0.728 (0.781) Data 0.001 (0.002) Loss 1.6538 (1.6609) Prec@1 57.500 (55.457) Prec@5 84.375 (84.186) Epoch: [72][3690/11272] Time 0.812 (0.781) Data 0.001 (0.002) Loss 1.9629 (1.6611) Prec@1 54.375 (55.451) Prec@5 73.750 (84.182) Epoch: [72][3700/11272] Time 0.834 (0.781) Data 0.002 (0.002) Loss 1.6371 (1.6609) Prec@1 51.875 (55.454) Prec@5 85.625 (84.184) Epoch: [72][3710/11272] Time 0.749 (0.781) Data 0.001 (0.002) Loss 1.4393 (1.6608) Prec@1 61.250 (55.456) Prec@5 88.750 (84.187) Epoch: [72][3720/11272] Time 0.712 (0.781) Data 0.001 (0.002) Loss 1.6275 (1.6609) Prec@1 54.375 (55.455) Prec@5 88.125 (84.187) Epoch: [72][3730/11272] Time 0.882 (0.781) Data 0.002 (0.002) Loss 1.4716 (1.6607) Prec@1 61.250 (55.461) Prec@5 86.250 (84.192) Epoch: [72][3740/11272] Time 0.860 (0.781) Data 0.001 (0.002) Loss 1.4932 (1.6609) Prec@1 59.375 (55.454) Prec@5 86.875 (84.186) Epoch: [72][3750/11272] Time 0.736 (0.781) Data 0.001 (0.002) Loss 1.6748 (1.6610) Prec@1 51.875 (55.448) Prec@5 86.250 (84.185) Epoch: [72][3760/11272] Time 0.705 (0.781) Data 0.001 (0.002) Loss 1.4788 (1.6610) Prec@1 60.000 (55.447) Prec@5 83.125 (84.187) Epoch: [72][3770/11272] Time 0.905 (0.781) Data 0.002 (0.002) Loss 1.7454 (1.6610) Prec@1 55.000 (55.444) Prec@5 81.875 (84.188) Epoch: [72][3780/11272] Time 0.833 (0.781) Data 0.002 (0.002) Loss 1.6775 (1.6611) Prec@1 56.875 (55.443) Prec@5 82.500 (84.186) Epoch: [72][3790/11272] Time 0.787 (0.781) Data 0.001 (0.002) Loss 1.4698 (1.6612) Prec@1 55.000 (55.443) Prec@5 89.375 (84.189) Epoch: [72][3800/11272] Time 0.717 (0.781) Data 0.001 (0.002) Loss 1.5420 (1.6612) Prec@1 55.000 (55.444) Prec@5 86.875 (84.188) Epoch: [72][3810/11272] Time 0.838 (0.781) Data 0.002 (0.002) Loss 1.6828 (1.6612) Prec@1 55.000 (55.448) Prec@5 85.625 (84.187) Epoch: [72][3820/11272] Time 0.721 (0.781) Data 0.001 (0.002) Loss 1.8286 (1.6614) Prec@1 50.625 (55.444) Prec@5 82.500 (84.186) Epoch: [72][3830/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.6137 (1.6613) Prec@1 55.625 (55.446) Prec@5 87.500 (84.190) Epoch: [72][3840/11272] Time 0.805 (0.781) Data 0.001 (0.002) Loss 1.6161 (1.6613) Prec@1 58.750 (55.447) Prec@5 84.375 (84.188) Epoch: [72][3850/11272] Time 0.895 (0.781) Data 0.001 (0.002) Loss 1.6526 (1.6613) Prec@1 55.000 (55.448) Prec@5 83.750 (84.189) Epoch: [72][3860/11272] Time 0.761 (0.781) Data 0.002 (0.002) Loss 1.4227 (1.6614) Prec@1 63.750 (55.447) Prec@5 90.000 (84.186) Epoch: [72][3870/11272] Time 0.696 (0.781) Data 0.001 (0.002) Loss 1.7055 (1.6612) Prec@1 54.375 (55.449) Prec@5 81.250 (84.186) Epoch: [72][3880/11272] Time 0.879 (0.781) Data 0.002 (0.002) Loss 1.6745 (1.6614) Prec@1 48.125 (55.443) Prec@5 87.500 (84.183) Epoch: [72][3890/11272] Time 0.860 (0.781) Data 0.002 (0.002) Loss 1.6948 (1.6615) Prec@1 56.875 (55.445) Prec@5 83.750 (84.183) Epoch: [72][3900/11272] Time 0.701 (0.781) Data 0.001 (0.002) Loss 1.6564 (1.6617) Prec@1 55.000 (55.442) Prec@5 82.500 (84.178) Epoch: [72][3910/11272] Time 0.732 (0.781) Data 0.001 (0.002) Loss 1.6665 (1.6617) Prec@1 56.250 (55.441) Prec@5 85.000 (84.178) Epoch: [72][3920/11272] Time 0.803 (0.781) Data 0.001 (0.002) Loss 1.8324 (1.6616) Prec@1 51.250 (55.443) Prec@5 81.875 (84.180) Epoch: [72][3930/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.7523 (1.6616) Prec@1 58.125 (55.443) Prec@5 82.500 (84.181) Epoch: [72][3940/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.7716 (1.6616) Prec@1 58.125 (55.446) Prec@5 81.875 (84.181) Epoch: [72][3950/11272] Time 0.802 (0.781) Data 0.001 (0.002) Loss 1.7029 (1.6615) Prec@1 52.500 (55.444) Prec@5 85.625 (84.181) Epoch: [72][3960/11272] Time 0.827 (0.781) Data 0.002 (0.002) Loss 1.2963 (1.6616) Prec@1 61.875 (55.442) Prec@5 91.875 (84.182) Epoch: [72][3970/11272] Time 0.730 (0.781) Data 0.002 (0.002) Loss 1.6626 (1.6614) Prec@1 55.000 (55.447) Prec@5 84.375 (84.184) Epoch: [72][3980/11272] Time 0.710 (0.781) Data 0.001 (0.002) Loss 1.6769 (1.6615) Prec@1 50.625 (55.447) Prec@5 85.625 (84.183) Epoch: [72][3990/11272] Time 0.851 (0.781) Data 0.002 (0.002) Loss 1.5569 (1.6615) Prec@1 55.625 (55.447) Prec@5 87.500 (84.182) Epoch: [72][4000/11272] Time 0.846 (0.781) Data 0.001 (0.002) Loss 1.6861 (1.6616) Prec@1 50.625 (55.439) Prec@5 86.250 (84.181) Epoch: [72][4010/11272] Time 0.718 (0.781) Data 0.001 (0.002) Loss 1.8399 (1.6618) Prec@1 47.500 (55.432) Prec@5 81.875 (84.176) Epoch: [72][4020/11272] Time 0.719 (0.781) Data 0.001 (0.002) Loss 1.7153 (1.6619) Prec@1 53.125 (55.427) Prec@5 85.000 (84.174) Epoch: [72][4030/11272] Time 0.829 (0.781) Data 0.002 (0.002) Loss 1.9286 (1.6618) Prec@1 50.000 (55.426) Prec@5 80.000 (84.176) Epoch: [72][4040/11272] Time 0.840 (0.781) Data 0.002 (0.002) Loss 1.4976 (1.6618) Prec@1 61.250 (55.432) Prec@5 83.125 (84.176) Epoch: [72][4050/11272] Time 0.724 (0.781) Data 0.002 (0.002) Loss 1.4665 (1.6617) Prec@1 60.625 (55.429) Prec@5 88.125 (84.178) Epoch: [72][4060/11272] Time 0.705 (0.781) Data 0.001 (0.002) Loss 1.8175 (1.6617) Prec@1 48.125 (55.431) Prec@5 81.250 (84.177) Epoch: [72][4070/11272] Time 0.826 (0.782) Data 0.001 (0.002) Loss 1.7618 (1.6616) Prec@1 51.875 (55.433) Prec@5 83.750 (84.179) Epoch: [72][4080/11272] Time 0.703 (0.781) Data 0.003 (0.002) Loss 1.6176 (1.6615) Prec@1 54.375 (55.433) Prec@5 84.375 (84.179) Epoch: [72][4090/11272] Time 0.710 (0.781) Data 0.002 (0.002) Loss 1.5953 (1.6617) Prec@1 50.625 (55.429) Prec@5 86.875 (84.176) Epoch: [72][4100/11272] Time 0.839 (0.782) Data 0.001 (0.002) Loss 1.9434 (1.6618) Prec@1 49.375 (55.428) Prec@5 78.750 (84.175) Epoch: [72][4110/11272] Time 0.829 (0.781) Data 0.002 (0.002) Loss 1.3944 (1.6619) Prec@1 61.250 (55.426) Prec@5 88.125 (84.173) Epoch: [72][4120/11272] Time 0.728 (0.781) Data 0.001 (0.002) Loss 1.4494 (1.6620) Prec@1 58.125 (55.423) Prec@5 86.250 (84.173) Epoch: [72][4130/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.6333 (1.6620) Prec@1 59.375 (55.422) Prec@5 83.750 (84.173) Epoch: [72][4140/11272] Time 0.845 (0.781) Data 0.001 (0.002) Loss 1.8647 (1.6620) Prec@1 55.625 (55.421) Prec@5 79.375 (84.172) Epoch: [72][4150/11272] Time 0.819 (0.781) Data 0.001 (0.002) Loss 1.6970 (1.6620) Prec@1 55.000 (55.423) Prec@5 83.750 (84.174) Epoch: [72][4160/11272] Time 0.744 (0.781) Data 0.001 (0.002) Loss 1.7824 (1.6620) Prec@1 48.125 (55.419) Prec@5 84.375 (84.174) Epoch: [72][4170/11272] Time 0.724 (0.781) Data 0.001 (0.002) Loss 1.7546 (1.6621) Prec@1 54.375 (55.415) Prec@5 82.500 (84.173) Epoch: [72][4180/11272] Time 0.848 (0.781) Data 0.002 (0.002) Loss 1.8257 (1.6621) Prec@1 53.750 (55.417) Prec@5 81.875 (84.172) Epoch: [72][4190/11272] Time 0.840 (0.781) Data 0.002 (0.002) Loss 1.7567 (1.6623) Prec@1 56.875 (55.413) Prec@5 83.750 (84.171) Epoch: [72][4200/11272] Time 0.727 (0.781) Data 0.001 (0.002) Loss 1.6119 (1.6625) Prec@1 53.125 (55.408) Prec@5 84.375 (84.168) Epoch: [72][4210/11272] Time 0.807 (0.781) Data 0.001 (0.002) Loss 1.6491 (1.6624) Prec@1 56.875 (55.409) Prec@5 82.500 (84.166) Epoch: [72][4220/11272] Time 0.885 (0.781) Data 0.002 (0.002) Loss 1.6227 (1.6624) Prec@1 51.250 (55.407) Prec@5 83.750 (84.164) Epoch: [72][4230/11272] Time 0.727 (0.781) Data 0.001 (0.002) Loss 1.7243 (1.6624) Prec@1 50.000 (55.405) Prec@5 83.750 (84.165) Epoch: [72][4240/11272] Time 0.707 (0.781) Data 0.001 (0.002) Loss 1.5652 (1.6624) Prec@1 55.000 (55.403) Prec@5 88.125 (84.165) Epoch: [72][4250/11272] Time 0.849 (0.781) Data 0.002 (0.002) Loss 1.5632 (1.6626) Prec@1 58.750 (55.397) Prec@5 84.375 (84.162) Epoch: [72][4260/11272] Time 0.841 (0.781) Data 0.001 (0.002) Loss 1.6137 (1.6627) Prec@1 51.875 (55.396) Prec@5 88.125 (84.163) Epoch: [72][4270/11272] Time 0.742 (0.781) Data 0.001 (0.002) Loss 1.5114 (1.6627) Prec@1 61.250 (55.397) Prec@5 87.500 (84.165) Epoch: [72][4280/11272] Time 0.719 (0.781) Data 0.001 (0.002) Loss 1.4243 (1.6626) Prec@1 58.125 (55.397) Prec@5 91.250 (84.167) Epoch: [72][4290/11272] Time 0.839 (0.781) Data 0.002 (0.002) Loss 1.5568 (1.6625) Prec@1 55.000 (55.396) Prec@5 87.500 (84.170) Epoch: [72][4300/11272] Time 0.808 (0.781) Data 0.001 (0.002) Loss 1.6242 (1.6627) Prec@1 58.750 (55.391) Prec@5 83.750 (84.172) Epoch: [72][4310/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.5990 (1.6627) Prec@1 54.375 (55.389) Prec@5 87.500 (84.172) Epoch: [72][4320/11272] Time 0.704 (0.781) Data 0.001 (0.002) Loss 1.7594 (1.6628) Prec@1 53.125 (55.384) Prec@5 84.375 (84.173) Epoch: [72][4330/11272] Time 0.817 (0.781) Data 0.001 (0.002) Loss 1.6440 (1.6628) Prec@1 56.250 (55.384) Prec@5 81.875 (84.172) Epoch: [72][4340/11272] Time 0.734 (0.781) Data 0.004 (0.002) Loss 1.6894 (1.6627) Prec@1 55.000 (55.386) Prec@5 83.125 (84.174) Epoch: [72][4350/11272] Time 0.712 (0.781) Data 0.001 (0.002) Loss 1.8244 (1.6626) Prec@1 51.875 (55.388) Prec@5 78.750 (84.172) Epoch: [72][4360/11272] Time 0.852 (0.781) Data 0.001 (0.002) Loss 1.6612 (1.6627) Prec@1 55.000 (55.386) Prec@5 83.125 (84.170) Epoch: [72][4370/11272] Time 0.840 (0.781) Data 0.002 (0.002) Loss 1.7196 (1.6628) Prec@1 51.875 (55.384) Prec@5 81.250 (84.167) Epoch: [72][4380/11272] Time 0.703 (0.781) Data 0.001 (0.002) Loss 1.7156 (1.6629) Prec@1 52.500 (55.382) Prec@5 85.000 (84.165) Epoch: [72][4390/11272] Time 0.721 (0.781) Data 0.001 (0.002) Loss 1.8711 (1.6630) Prec@1 53.125 (55.381) Prec@5 79.375 (84.165) Epoch: [72][4400/11272] Time 0.807 (0.781) Data 0.001 (0.002) Loss 1.6695 (1.6630) Prec@1 54.375 (55.379) Prec@5 88.125 (84.165) Epoch: [72][4410/11272] Time 0.824 (0.781) Data 0.002 (0.002) Loss 1.8063 (1.6629) Prec@1 53.750 (55.384) Prec@5 81.875 (84.164) Epoch: [72][4420/11272] Time 0.717 (0.781) Data 0.001 (0.002) Loss 1.6462 (1.6627) Prec@1 53.750 (55.388) Prec@5 83.125 (84.165) Epoch: [72][4430/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.7618 (1.6628) Prec@1 55.000 (55.389) Prec@5 81.250 (84.167) Epoch: [72][4440/11272] Time 0.832 (0.781) Data 0.002 (0.002) Loss 1.8026 (1.6627) Prec@1 55.000 (55.391) Prec@5 78.750 (84.163) Epoch: [72][4450/11272] Time 0.799 (0.781) Data 0.001 (0.002) Loss 1.6465 (1.6629) Prec@1 53.125 (55.388) Prec@5 87.500 (84.162) Epoch: [72][4460/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.6512 (1.6628) Prec@1 53.125 (55.388) Prec@5 81.875 (84.164) Epoch: [72][4470/11272] Time 0.837 (0.781) Data 0.001 (0.002) Loss 1.7782 (1.6630) Prec@1 50.000 (55.384) Prec@5 82.500 (84.163) Epoch: [72][4480/11272] Time 0.819 (0.781) Data 0.001 (0.002) Loss 1.7150 (1.6630) Prec@1 56.250 (55.385) Prec@5 81.250 (84.164) Epoch: [72][4490/11272] Time 0.702 (0.781) Data 0.001 (0.002) Loss 1.5533 (1.6631) Prec@1 56.250 (55.380) Prec@5 85.000 (84.162) Epoch: [72][4500/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.8788 (1.6633) Prec@1 51.250 (55.380) Prec@5 80.000 (84.161) Epoch: [72][4510/11272] Time 0.840 (0.781) Data 0.001 (0.002) Loss 1.8560 (1.6634) Prec@1 47.500 (55.377) Prec@5 81.875 (84.159) Epoch: [72][4520/11272] Time 0.807 (0.781) Data 0.001 (0.002) Loss 1.5510 (1.6634) Prec@1 57.500 (55.377) Prec@5 88.750 (84.161) Epoch: [72][4530/11272] Time 0.691 (0.781) Data 0.001 (0.002) Loss 1.4240 (1.6633) Prec@1 56.875 (55.380) Prec@5 86.250 (84.161) Epoch: [72][4540/11272] Time 0.708 (0.781) Data 0.001 (0.002) Loss 1.7441 (1.6633) Prec@1 53.750 (55.381) Prec@5 83.125 (84.162) Epoch: [72][4550/11272] Time 0.823 (0.781) Data 0.002 (0.002) Loss 1.7071 (1.6635) Prec@1 61.875 (55.381) Prec@5 81.875 (84.157) Epoch: [72][4560/11272] Time 0.793 (0.781) Data 0.001 (0.002) Loss 1.5772 (1.6635) Prec@1 56.250 (55.381) Prec@5 88.125 (84.159) Epoch: [72][4570/11272] Time 0.743 (0.781) Data 0.002 (0.002) Loss 1.6930 (1.6636) Prec@1 56.875 (55.380) Prec@5 84.375 (84.158) Epoch: [72][4580/11272] Time 0.719 (0.781) Data 0.001 (0.002) Loss 1.6997 (1.6637) Prec@1 53.750 (55.375) Prec@5 81.250 (84.158) Epoch: [72][4590/11272] Time 0.844 (0.781) Data 0.002 (0.002) Loss 1.8288 (1.6638) Prec@1 52.500 (55.375) Prec@5 80.625 (84.156) Epoch: [72][4600/11272] Time 0.825 (0.781) Data 0.001 (0.002) Loss 1.6686 (1.6638) Prec@1 55.000 (55.375) Prec@5 85.000 (84.156) Epoch: [72][4610/11272] Time 0.736 (0.781) Data 0.002 (0.002) Loss 1.7664 (1.6640) Prec@1 58.750 (55.373) Prec@5 82.500 (84.152) Epoch: [72][4620/11272] Time 0.851 (0.781) Data 0.001 (0.002) Loss 1.8908 (1.6641) Prec@1 48.125 (55.370) Prec@5 83.750 (84.148) Epoch: [72][4630/11272] Time 0.823 (0.781) Data 0.002 (0.002) Loss 1.7930 (1.6643) Prec@1 48.750 (55.364) Prec@5 83.125 (84.147) Epoch: [72][4640/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.6423 (1.6643) Prec@1 56.875 (55.362) Prec@5 83.750 (84.148) Epoch: [72][4650/11272] Time 0.739 (0.781) Data 0.002 (0.002) Loss 1.7140 (1.6644) Prec@1 51.250 (55.358) Prec@5 81.250 (84.145) Epoch: [72][4660/11272] Time 0.813 (0.781) Data 0.001 (0.002) Loss 1.6590 (1.6645) Prec@1 53.125 (55.356) Prec@5 84.375 (84.143) Epoch: [72][4670/11272] Time 0.818 (0.781) Data 0.002 (0.002) Loss 1.7400 (1.6646) Prec@1 51.250 (55.355) Prec@5 83.125 (84.141) Epoch: [72][4680/11272] Time 0.734 (0.781) Data 0.001 (0.002) Loss 1.8130 (1.6646) Prec@1 52.500 (55.356) Prec@5 83.750 (84.142) Epoch: [72][4690/11272] Time 0.716 (0.781) Data 0.001 (0.002) Loss 1.6360 (1.6646) Prec@1 53.125 (55.356) Prec@5 84.375 (84.141) Epoch: [72][4700/11272] Time 0.820 (0.781) Data 0.001 (0.002) Loss 1.6367 (1.6646) Prec@1 61.250 (55.357) Prec@5 82.500 (84.141) Epoch: [72][4710/11272] Time 0.829 (0.781) Data 0.002 (0.002) Loss 1.6543 (1.6647) Prec@1 53.125 (55.354) Prec@5 87.500 (84.142) Epoch: [72][4720/11272] Time 0.713 (0.781) Data 0.001 (0.002) Loss 1.5675 (1.6647) Prec@1 58.125 (55.355) Prec@5 84.375 (84.141) Epoch: [72][4730/11272] Time 0.725 (0.781) Data 0.002 (0.002) Loss 1.6159 (1.6646) Prec@1 55.000 (55.356) Prec@5 85.625 (84.143) Epoch: [72][4740/11272] Time 0.863 (0.781) Data 0.002 (0.002) Loss 1.5815 (1.6646) Prec@1 63.125 (55.358) Prec@5 84.375 (84.143) Epoch: [72][4750/11272] Time 0.756 (0.781) Data 0.001 (0.002) Loss 1.6435 (1.6647) Prec@1 51.875 (55.356) Prec@5 87.500 (84.143) Epoch: [72][4760/11272] Time 0.712 (0.781) Data 0.001 (0.002) Loss 1.8778 (1.6648) Prec@1 47.500 (55.356) Prec@5 81.250 (84.140) Epoch: [72][4770/11272] Time 0.806 (0.781) Data 0.001 (0.002) Loss 1.6244 (1.6647) Prec@1 60.625 (55.359) Prec@5 85.000 (84.141) Epoch: [72][4780/11272] Time 0.844 (0.781) Data 0.002 (0.002) Loss 1.6520 (1.6647) Prec@1 56.250 (55.355) Prec@5 83.125 (84.139) Epoch: [72][4790/11272] Time 0.746 (0.781) Data 0.002 (0.002) Loss 1.7787 (1.6646) Prec@1 59.375 (55.357) Prec@5 80.625 (84.142) Epoch: [72][4800/11272] Time 0.709 (0.781) Data 0.001 (0.002) Loss 1.5416 (1.6647) Prec@1 61.875 (55.356) Prec@5 88.750 (84.139) Epoch: [72][4810/11272] Time 0.851 (0.781) Data 0.002 (0.002) Loss 1.8082 (1.6648) Prec@1 50.000 (55.354) Prec@5 77.500 (84.136) Epoch: [72][4820/11272] Time 0.847 (0.781) Data 0.002 (0.002) Loss 1.8341 (1.6649) Prec@1 51.250 (55.354) Prec@5 80.625 (84.134) Epoch: [72][4830/11272] Time 0.708 (0.781) Data 0.001 (0.002) Loss 1.6798 (1.6647) Prec@1 54.375 (55.356) Prec@5 85.000 (84.136) Epoch: [72][4840/11272] Time 0.723 (0.781) Data 0.001 (0.002) Loss 1.6060 (1.6647) Prec@1 52.500 (55.356) Prec@5 87.500 (84.136) Epoch: [72][4850/11272] Time 0.876 (0.781) Data 0.002 (0.002) Loss 1.6355 (1.6648) Prec@1 54.375 (55.352) Prec@5 86.875 (84.137) Epoch: [72][4860/11272] Time 0.830 (0.781) Data 0.002 (0.002) Loss 1.5304 (1.6648) Prec@1 60.000 (55.348) Prec@5 86.250 (84.138) Epoch: [72][4870/11272] Time 0.743 (0.781) Data 0.001 (0.002) Loss 1.7958 (1.6648) Prec@1 51.250 (55.351) Prec@5 83.125 (84.139) Epoch: [72][4880/11272] Time 0.803 (0.781) Data 0.002 (0.002) Loss 1.8403 (1.6649) Prec@1 50.625 (55.348) Prec@5 81.250 (84.140) Epoch: [72][4890/11272] Time 0.850 (0.781) Data 0.001 (0.002) Loss 1.7176 (1.6648) Prec@1 55.000 (55.351) Prec@5 83.750 (84.143) Epoch: [72][4900/11272] Time 0.728 (0.781) Data 0.002 (0.002) Loss 1.7734 (1.6650) Prec@1 53.750 (55.349) Prec@5 83.750 (84.141) Epoch: [72][4910/11272] Time 0.715 (0.781) Data 0.001 (0.002) Loss 1.7005 (1.6650) Prec@1 51.250 (55.346) Prec@5 83.125 (84.140) Epoch: [72][4920/11272] Time 0.861 (0.781) Data 0.002 (0.002) Loss 1.6578 (1.6650) Prec@1 56.250 (55.346) Prec@5 85.000 (84.139) Epoch: [72][4930/11272] Time 0.885 (0.781) Data 0.002 (0.002) Loss 1.7768 (1.6649) Prec@1 51.250 (55.345) Prec@5 83.125 (84.141) Epoch: [72][4940/11272] Time 0.725 (0.781) Data 0.001 (0.002) Loss 1.8156 (1.6650) Prec@1 54.375 (55.345) Prec@5 83.750 (84.141) Epoch: [72][4950/11272] Time 0.722 (0.781) Data 0.001 (0.002) Loss 1.5165 (1.6650) Prec@1 62.500 (55.350) Prec@5 86.250 (84.142) Epoch: [72][4960/11272] Time 0.827 (0.781) Data 0.001 (0.002) Loss 1.8599 (1.6650) Prec@1 48.750 (55.350) Prec@5 83.750 (84.142) Epoch: [72][4970/11272] Time 0.860 (0.781) Data 0.002 (0.002) Loss 1.5634 (1.6650) Prec@1 59.375 (55.348) Prec@5 85.625 (84.142) Epoch: [72][4980/11272] Time 0.719 (0.781) Data 0.002 (0.002) Loss 1.7019 (1.6651) Prec@1 51.250 (55.346) Prec@5 85.000 (84.142) Epoch: [72][4990/11272] Time 0.709 (0.781) Data 0.001 (0.002) Loss 1.7923 (1.6653) Prec@1 51.875 (55.344) Prec@5 82.500 (84.139) Epoch: [72][5000/11272] Time 0.813 (0.781) Data 0.002 (0.002) Loss 1.6763 (1.6653) Prec@1 55.625 (55.343) Prec@5 85.000 (84.138) Epoch: [72][5010/11272] Time 0.738 (0.781) Data 0.003 (0.002) Loss 1.5937 (1.6653) Prec@1 61.250 (55.343) Prec@5 83.750 (84.137) Epoch: [72][5020/11272] Time 0.715 (0.781) Data 0.001 (0.002) Loss 1.7044 (1.6653) Prec@1 53.750 (55.344) Prec@5 85.000 (84.139) Epoch: [72][5030/11272] Time 0.862 (0.781) Data 0.001 (0.002) Loss 1.7803 (1.6653) Prec@1 52.500 (55.347) Prec@5 81.875 (84.136) Epoch: [72][5040/11272] Time 0.832 (0.781) Data 0.002 (0.002) Loss 1.7762 (1.6654) Prec@1 53.125 (55.346) Prec@5 82.500 (84.136) Epoch: [72][5050/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.9278 (1.6655) Prec@1 53.750 (55.346) Prec@5 75.000 (84.134) Epoch: [72][5060/11272] Time 0.732 (0.781) Data 0.002 (0.002) Loss 1.6909 (1.6657) Prec@1 55.000 (55.342) Prec@5 81.250 (84.130) Epoch: [72][5070/11272] Time 0.882 (0.781) Data 0.002 (0.002) Loss 1.4714 (1.6656) Prec@1 56.250 (55.342) Prec@5 88.125 (84.131) Epoch: [72][5080/11272] Time 0.860 (0.781) Data 0.002 (0.002) Loss 1.6968 (1.6655) Prec@1 53.750 (55.342) Prec@5 82.500 (84.131) Epoch: [72][5090/11272] Time 0.690 (0.781) Data 0.001 (0.002) Loss 1.6546 (1.6655) Prec@1 60.000 (55.344) Prec@5 81.875 (84.129) Epoch: [72][5100/11272] Time 0.717 (0.781) Data 0.001 (0.002) Loss 1.9731 (1.6657) Prec@1 50.000 (55.341) Prec@5 79.375 (84.129) Epoch: [72][5110/11272] Time 0.850 (0.781) Data 0.002 (0.002) Loss 1.8328 (1.6657) Prec@1 49.375 (55.338) Prec@5 83.125 (84.130) Epoch: [72][5120/11272] Time 0.835 (0.781) Data 0.002 (0.002) Loss 1.8600 (1.6657) Prec@1 51.875 (55.337) Prec@5 81.250 (84.131) Epoch: [72][5130/11272] Time 0.728 (0.781) Data 0.001 (0.002) Loss 1.5367 (1.6657) Prec@1 59.375 (55.338) Prec@5 88.750 (84.131) Epoch: [72][5140/11272] Time 0.832 (0.781) Data 0.001 (0.002) Loss 1.7265 (1.6657) Prec@1 55.625 (55.337) Prec@5 81.875 (84.132) Epoch: [72][5150/11272] Time 0.833 (0.781) Data 0.001 (0.002) Loss 1.6704 (1.6656) Prec@1 54.375 (55.339) Prec@5 84.375 (84.133) Epoch: [72][5160/11272] Time 0.740 (0.781) Data 0.001 (0.002) Loss 1.5629 (1.6656) Prec@1 61.250 (55.339) Prec@5 80.625 (84.133) Epoch: [72][5170/11272] Time 0.759 (0.781) Data 0.002 (0.002) Loss 1.4606 (1.6656) Prec@1 59.375 (55.339) Prec@5 86.250 (84.136) Epoch: [72][5180/11272] Time 0.825 (0.781) Data 0.002 (0.002) Loss 1.9679 (1.6657) Prec@1 51.250 (55.337) Prec@5 78.125 (84.135) Epoch: [72][5190/11272] Time 0.867 (0.781) Data 0.002 (0.002) Loss 1.8221 (1.6657) Prec@1 51.875 (55.338) Prec@5 81.250 (84.134) Epoch: [72][5200/11272] Time 0.712 (0.781) Data 0.001 (0.002) Loss 1.7056 (1.6657) Prec@1 54.375 (55.339) Prec@5 85.625 (84.134) Epoch: [72][5210/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.6602 (1.6658) Prec@1 58.125 (55.340) Prec@5 83.750 (84.133) Epoch: [72][5220/11272] Time 0.801 (0.781) Data 0.001 (0.002) Loss 1.6979 (1.6658) Prec@1 57.500 (55.340) Prec@5 81.875 (84.133) Epoch: [72][5230/11272] Time 0.872 (0.781) Data 0.001 (0.002) Loss 1.7096 (1.6659) Prec@1 55.000 (55.337) Prec@5 85.000 (84.130) Epoch: [72][5240/11272] Time 0.722 (0.781) Data 0.002 (0.002) Loss 1.5244 (1.6660) Prec@1 60.625 (55.336) Prec@5 83.750 (84.129) Epoch: [72][5250/11272] Time 0.691 (0.781) Data 0.001 (0.002) Loss 1.5222 (1.6659) Prec@1 55.000 (55.336) Prec@5 86.250 (84.129) Epoch: [72][5260/11272] Time 0.815 (0.781) Data 0.002 (0.002) Loss 1.6840 (1.6659) Prec@1 59.375 (55.339) Prec@5 84.375 (84.129) Epoch: [72][5270/11272] Time 0.769 (0.781) Data 0.004 (0.002) Loss 1.6936 (1.6660) Prec@1 52.500 (55.336) Prec@5 83.750 (84.129) Epoch: [72][5280/11272] Time 0.715 (0.781) Data 0.002 (0.002) Loss 1.8224 (1.6661) Prec@1 46.875 (55.332) Prec@5 80.625 (84.127) Epoch: [72][5290/11272] Time 0.819 (0.781) Data 0.002 (0.002) Loss 1.6516 (1.6660) Prec@1 61.875 (55.333) Prec@5 82.500 (84.128) Epoch: [72][5300/11272] Time 0.853 (0.781) Data 0.002 (0.002) Loss 1.5887 (1.6662) Prec@1 50.625 (55.327) Prec@5 86.875 (84.123) Epoch: [72][5310/11272] Time 0.744 (0.781) Data 0.002 (0.002) Loss 1.4847 (1.6662) Prec@1 61.250 (55.328) Prec@5 85.000 (84.122) Epoch: [72][5320/11272] Time 0.712 (0.781) Data 0.001 (0.002) Loss 1.7063 (1.6662) Prec@1 57.500 (55.327) Prec@5 87.500 (84.122) Epoch: [72][5330/11272] Time 0.811 (0.781) Data 0.001 (0.002) Loss 1.9103 (1.6661) Prec@1 49.375 (55.325) Prec@5 79.375 (84.122) Epoch: [72][5340/11272] Time 0.826 (0.781) Data 0.001 (0.002) Loss 1.8742 (1.6662) Prec@1 52.500 (55.324) Prec@5 81.875 (84.124) Epoch: [72][5350/11272] Time 0.739 (0.781) Data 0.002 (0.002) Loss 1.7493 (1.6662) Prec@1 58.750 (55.323) Prec@5 82.500 (84.125) Epoch: [72][5360/11272] Time 0.748 (0.781) Data 0.002 (0.002) Loss 1.6530 (1.6661) Prec@1 55.625 (55.326) Prec@5 85.000 (84.127) Epoch: [72][5370/11272] Time 0.869 (0.781) Data 0.002 (0.002) Loss 1.8698 (1.6661) Prec@1 48.750 (55.325) Prec@5 84.375 (84.131) Epoch: [72][5380/11272] Time 0.825 (0.781) Data 0.002 (0.002) Loss 1.8369 (1.6661) Prec@1 50.000 (55.327) Prec@5 80.000 (84.129) Epoch: [72][5390/11272] Time 0.715 (0.781) Data 0.001 (0.002) Loss 1.5678 (1.6661) Prec@1 53.750 (55.329) Prec@5 85.625 (84.129) Epoch: [72][5400/11272] Time 0.881 (0.781) Data 0.002 (0.002) Loss 1.8514 (1.6661) Prec@1 51.875 (55.327) Prec@5 80.625 (84.130) Epoch: [72][5410/11272] Time 0.830 (0.781) Data 0.001 (0.002) Loss 1.5993 (1.6661) Prec@1 58.750 (55.328) Prec@5 81.875 (84.130) Epoch: [72][5420/11272] Time 0.723 (0.781) Data 0.001 (0.002) Loss 1.6575 (1.6660) Prec@1 54.375 (55.330) Prec@5 81.875 (84.133) Epoch: [72][5430/11272] Time 0.744 (0.781) Data 0.001 (0.002) Loss 2.0779 (1.6662) Prec@1 47.500 (55.329) Prec@5 75.625 (84.129) Epoch: [72][5440/11272] Time 0.850 (0.781) Data 0.002 (0.002) Loss 1.7425 (1.6661) Prec@1 50.625 (55.331) Prec@5 82.500 (84.131) Epoch: [72][5450/11272] Time 0.874 (0.781) Data 0.002 (0.002) Loss 1.7919 (1.6661) Prec@1 49.375 (55.328) Prec@5 80.625 (84.130) Epoch: [72][5460/11272] Time 0.731 (0.781) Data 0.001 (0.002) Loss 1.4672 (1.6660) Prec@1 60.625 (55.331) Prec@5 85.625 (84.132) Epoch: [72][5470/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.6688 (1.6659) Prec@1 58.750 (55.334) Prec@5 84.375 (84.132) Epoch: [72][5480/11272] Time 0.827 (0.781) Data 0.002 (0.002) Loss 1.6589 (1.6660) Prec@1 53.125 (55.332) Prec@5 83.750 (84.132) Epoch: [72][5490/11272] Time 0.840 (0.781) Data 0.002 (0.002) Loss 1.4998 (1.6659) Prec@1 62.500 (55.334) Prec@5 85.000 (84.132) Epoch: [72][5500/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.6755 (1.6660) Prec@1 52.500 (55.332) Prec@5 86.250 (84.132) Epoch: [72][5510/11272] Time 0.743 (0.781) Data 0.001 (0.002) Loss 1.6355 (1.6660) Prec@1 51.875 (55.331) Prec@5 85.000 (84.131) Epoch: [72][5520/11272] Time 0.836 (0.781) Data 0.002 (0.002) Loss 1.7834 (1.6661) Prec@1 49.375 (55.325) Prec@5 86.875 (84.132) Epoch: [72][5530/11272] Time 0.835 (0.781) Data 0.002 (0.002) Loss 1.8308 (1.6662) Prec@1 49.375 (55.320) Prec@5 84.375 (84.132) Epoch: [72][5540/11272] Time 0.745 (0.781) Data 0.001 (0.002) Loss 1.5542 (1.6662) Prec@1 61.250 (55.320) Prec@5 84.375 (84.132) Epoch: [72][5550/11272] Time 0.838 (0.781) Data 0.002 (0.002) Loss 1.8602 (1.6662) Prec@1 51.875 (55.320) Prec@5 81.875 (84.132) Epoch: [72][5560/11272] Time 0.823 (0.781) Data 0.001 (0.002) Loss 1.5828 (1.6662) Prec@1 52.500 (55.320) Prec@5 86.250 (84.130) Epoch: [72][5570/11272] Time 0.729 (0.781) Data 0.001 (0.002) Loss 1.6279 (1.6664) Prec@1 55.000 (55.316) Prec@5 86.875 (84.130) Epoch: [72][5580/11272] Time 0.723 (0.781) Data 0.001 (0.002) Loss 1.6544 (1.6663) Prec@1 57.500 (55.317) Prec@5 82.500 (84.132) Epoch: [72][5590/11272] Time 0.834 (0.781) Data 0.002 (0.002) Loss 1.8919 (1.6665) Prec@1 48.125 (55.312) Prec@5 80.000 (84.131) Epoch: [72][5600/11272] Time 0.830 (0.781) Data 0.002 (0.002) Loss 1.6364 (1.6664) Prec@1 53.125 (55.311) Prec@5 84.375 (84.132) Epoch: [72][5610/11272] Time 0.716 (0.781) Data 0.001 (0.002) Loss 1.5095 (1.6663) Prec@1 56.250 (55.313) Prec@5 86.250 (84.133) Epoch: [72][5620/11272] Time 0.718 (0.781) Data 0.001 (0.002) Loss 1.7737 (1.6664) Prec@1 53.125 (55.311) Prec@5 86.250 (84.134) Epoch: [72][5630/11272] Time 0.867 (0.781) Data 0.002 (0.002) Loss 1.7804 (1.6663) Prec@1 48.750 (55.312) Prec@5 83.125 (84.136) Epoch: [72][5640/11272] Time 0.833 (0.781) Data 0.002 (0.002) Loss 1.7264 (1.6663) Prec@1 60.000 (55.310) Prec@5 81.875 (84.135) Epoch: [72][5650/11272] Time 0.701 (0.781) Data 0.001 (0.002) Loss 1.6860 (1.6663) Prec@1 57.500 (55.313) Prec@5 84.375 (84.135) Epoch: [72][5660/11272] Time 0.707 (0.781) Data 0.001 (0.002) Loss 1.8957 (1.6664) Prec@1 53.125 (55.312) Prec@5 80.000 (84.135) Epoch: [72][5670/11272] Time 0.832 (0.781) Data 0.002 (0.002) Loss 1.7337 (1.6664) Prec@1 51.875 (55.311) Prec@5 85.625 (84.135) Epoch: [72][5680/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.7093 (1.6663) Prec@1 49.375 (55.317) Prec@5 88.125 (84.135) Epoch: [72][5690/11272] Time 0.728 (0.781) Data 0.002 (0.002) Loss 1.9505 (1.6664) Prec@1 48.750 (55.316) Prec@5 80.000 (84.135) Epoch: [72][5700/11272] Time 0.802 (0.781) Data 0.001 (0.002) Loss 1.6152 (1.6663) Prec@1 56.250 (55.319) Prec@5 84.375 (84.136) Epoch: [72][5710/11272] Time 0.861 (0.781) Data 0.002 (0.002) Loss 1.5028 (1.6662) Prec@1 57.500 (55.320) Prec@5 86.875 (84.137) Epoch: [72][5720/11272] Time 0.738 (0.781) Data 0.002 (0.002) Loss 1.4845 (1.6661) Prec@1 58.750 (55.322) Prec@5 84.375 (84.138) Epoch: [72][5730/11272] Time 0.693 (0.781) Data 0.001 (0.002) Loss 1.6201 (1.6661) Prec@1 50.625 (55.321) Prec@5 84.375 (84.138) Epoch: [72][5740/11272] Time 0.856 (0.781) Data 0.002 (0.002) Loss 1.6268 (1.6662) Prec@1 52.500 (55.320) Prec@5 84.375 (84.138) Epoch: [72][5750/11272] Time 0.838 (0.781) Data 0.002 (0.002) Loss 1.5919 (1.6660) Prec@1 58.750 (55.323) Prec@5 85.625 (84.140) Epoch: [72][5760/11272] Time 0.733 (0.781) Data 0.001 (0.002) Loss 1.6149 (1.6661) Prec@1 53.750 (55.322) Prec@5 89.375 (84.140) Epoch: [72][5770/11272] Time 0.731 (0.781) Data 0.001 (0.002) Loss 1.4329 (1.6662) Prec@1 58.125 (55.321) Prec@5 88.125 (84.137) Epoch: [72][5780/11272] Time 0.868 (0.781) Data 0.003 (0.002) Loss 1.7055 (1.6662) Prec@1 55.625 (55.319) Prec@5 86.875 (84.137) Epoch: [72][5790/11272] Time 0.801 (0.781) Data 0.001 (0.002) Loss 1.5635 (1.6662) Prec@1 58.750 (55.321) Prec@5 85.000 (84.137) Epoch: [72][5800/11272] Time 0.738 (0.781) Data 0.001 (0.002) Loss 1.5383 (1.6663) Prec@1 60.625 (55.321) Prec@5 84.375 (84.135) Epoch: [72][5810/11272] Time 0.818 (0.781) Data 0.001 (0.002) Loss 1.4961 (1.6661) Prec@1 60.625 (55.324) Prec@5 85.625 (84.136) Epoch: [72][5820/11272] Time 0.905 (0.781) Data 0.002 (0.002) Loss 1.8550 (1.6662) Prec@1 52.500 (55.322) Prec@5 81.250 (84.135) Epoch: [72][5830/11272] Time 0.821 (0.781) Data 0.002 (0.002) Loss 1.7082 (1.6663) Prec@1 48.750 (55.321) Prec@5 86.250 (84.135) Epoch: [72][5840/11272] Time 0.768 (0.781) Data 0.002 (0.002) Loss 1.8708 (1.6664) Prec@1 50.625 (55.315) Prec@5 83.750 (84.134) Epoch: [72][5850/11272] Time 0.863 (0.781) Data 0.001 (0.002) Loss 1.6596 (1.6666) Prec@1 60.000 (55.312) Prec@5 82.500 (84.133) Epoch: [72][5860/11272] Time 0.853 (0.781) Data 0.002 (0.002) Loss 1.4899 (1.6665) Prec@1 60.625 (55.314) Prec@5 86.250 (84.135) Epoch: [72][5870/11272] Time 0.735 (0.781) Data 0.001 (0.002) Loss 1.6723 (1.6663) Prec@1 55.625 (55.319) Prec@5 86.875 (84.138) Epoch: [72][5880/11272] Time 0.730 (0.781) Data 0.001 (0.002) Loss 1.6129 (1.6663) Prec@1 54.375 (55.319) Prec@5 87.500 (84.140) Epoch: [72][5890/11272] Time 0.844 (0.781) Data 0.001 (0.002) Loss 1.6949 (1.6662) Prec@1 55.625 (55.319) Prec@5 83.125 (84.142) Epoch: [72][5900/11272] Time 0.819 (0.781) Data 0.002 (0.002) Loss 1.7137 (1.6663) Prec@1 56.875 (55.319) Prec@5 83.750 (84.142) Epoch: [72][5910/11272] Time 0.745 (0.781) Data 0.001 (0.002) Loss 1.5394 (1.6664) Prec@1 56.875 (55.317) Prec@5 87.500 (84.139) Epoch: [72][5920/11272] Time 0.726 (0.781) Data 0.001 (0.002) Loss 1.4746 (1.6663) Prec@1 59.375 (55.320) Prec@5 81.250 (84.142) Epoch: [72][5930/11272] Time 0.802 (0.781) Data 0.001 (0.002) Loss 1.7098 (1.6664) Prec@1 52.500 (55.318) Prec@5 83.125 (84.140) Epoch: [72][5940/11272] Time 0.730 (0.781) Data 0.003 (0.002) Loss 1.6915 (1.6665) Prec@1 51.250 (55.315) Prec@5 85.000 (84.139) Epoch: [72][5950/11272] Time 0.725 (0.781) Data 0.001 (0.002) Loss 1.5796 (1.6666) Prec@1 58.125 (55.316) Prec@5 83.750 (84.139) Epoch: [72][5960/11272] Time 0.822 (0.781) Data 0.001 (0.002) Loss 1.6827 (1.6666) Prec@1 53.125 (55.314) Prec@5 86.875 (84.140) Epoch: [72][5970/11272] Time 0.868 (0.781) Data 0.002 (0.002) Loss 1.9162 (1.6667) Prec@1 49.375 (55.312) Prec@5 80.000 (84.139) Epoch: [72][5980/11272] Time 0.755 (0.781) Data 0.002 (0.002) Loss 1.6348 (1.6667) Prec@1 56.250 (55.308) Prec@5 86.250 (84.139) Epoch: [72][5990/11272] Time 0.720 (0.781) Data 0.002 (0.002) Loss 1.7560 (1.6668) Prec@1 58.125 (55.305) Prec@5 82.500 (84.138) Epoch: [72][6000/11272] Time 0.811 (0.781) Data 0.001 (0.002) Loss 1.5586 (1.6669) Prec@1 56.875 (55.303) Prec@5 83.750 (84.136) Epoch: [72][6010/11272] Time 0.832 (0.781) Data 0.001 (0.002) Loss 1.6263 (1.6669) Prec@1 56.250 (55.303) Prec@5 87.500 (84.139) Epoch: [72][6020/11272] Time 0.716 (0.781) Data 0.001 (0.002) Loss 1.8114 (1.6670) Prec@1 48.750 (55.298) Prec@5 83.750 (84.138) Epoch: [72][6030/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.6198 (1.6669) Prec@1 58.750 (55.301) Prec@5 86.875 (84.140) Epoch: [72][6040/11272] Time 0.813 (0.781) Data 0.001 (0.002) Loss 1.5604 (1.6668) Prec@1 56.250 (55.301) Prec@5 87.500 (84.141) Epoch: [72][6050/11272] Time 0.812 (0.781) Data 0.001 (0.002) Loss 1.8359 (1.6670) Prec@1 49.375 (55.296) Prec@5 83.125 (84.140) Epoch: [72][6060/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 2.0417 (1.6671) Prec@1 51.875 (55.293) Prec@5 76.875 (84.139) Epoch: [72][6070/11272] Time 0.824 (0.781) Data 0.001 (0.002) Loss 1.8146 (1.6672) Prec@1 49.375 (55.290) Prec@5 81.875 (84.137) Epoch: [72][6080/11272] Time 0.862 (0.781) Data 0.002 (0.002) Loss 1.3665 (1.6671) Prec@1 61.875 (55.293) Prec@5 90.000 (84.138) Epoch: [72][6090/11272] Time 0.706 (0.781) Data 0.001 (0.002) Loss 1.5890 (1.6671) Prec@1 53.750 (55.293) Prec@5 86.875 (84.139) Epoch: [72][6100/11272] Time 0.723 (0.781) Data 0.001 (0.002) Loss 1.7681 (1.6670) Prec@1 53.125 (55.295) Prec@5 83.750 (84.140) Epoch: [72][6110/11272] Time 0.792 (0.781) Data 0.001 (0.002) Loss 1.7060 (1.6671) Prec@1 55.000 (55.294) Prec@5 83.125 (84.139) Epoch: [72][6120/11272] Time 0.842 (0.781) Data 0.002 (0.002) Loss 1.5831 (1.6670) Prec@1 58.125 (55.295) Prec@5 84.375 (84.140) Epoch: [72][6130/11272] Time 0.691 (0.781) Data 0.001 (0.002) Loss 1.6237 (1.6671) Prec@1 57.500 (55.294) Prec@5 83.750 (84.139) Epoch: [72][6140/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.6911 (1.6671) Prec@1 54.375 (55.294) Prec@5 80.625 (84.137) Epoch: [72][6150/11272] Time 0.857 (0.781) Data 0.002 (0.002) Loss 1.7718 (1.6671) Prec@1 51.875 (55.293) Prec@5 80.625 (84.139) Epoch: [72][6160/11272] Time 0.858 (0.781) Data 0.002 (0.002) Loss 1.6022 (1.6670) Prec@1 56.250 (55.292) Prec@5 87.500 (84.139) Epoch: [72][6170/11272] Time 0.718 (0.781) Data 0.001 (0.002) Loss 1.7340 (1.6670) Prec@1 54.375 (55.295) Prec@5 82.500 (84.139) Epoch: [72][6180/11272] Time 0.749 (0.781) Data 0.002 (0.002) Loss 1.5911 (1.6670) Prec@1 53.125 (55.294) Prec@5 84.375 (84.140) Epoch: [72][6190/11272] Time 0.853 (0.781) Data 0.001 (0.002) Loss 1.7809 (1.6671) Prec@1 52.500 (55.291) Prec@5 81.250 (84.137) Epoch: [72][6200/11272] Time 0.760 (0.781) Data 0.003 (0.002) Loss 1.6011 (1.6672) Prec@1 52.500 (55.290) Prec@5 87.500 (84.136) Epoch: [72][6210/11272] Time 0.762 (0.781) Data 0.001 (0.002) Loss 1.4555 (1.6672) Prec@1 61.250 (55.291) Prec@5 86.250 (84.135) Epoch: [72][6220/11272] Time 0.879 (0.781) Data 0.002 (0.002) Loss 1.2977 (1.6671) Prec@1 66.250 (55.290) Prec@5 90.000 (84.136) Epoch: [72][6230/11272] Time 0.831 (0.781) Data 0.002 (0.002) Loss 1.4563 (1.6671) Prec@1 58.750 (55.290) Prec@5 87.500 (84.134) Epoch: [72][6240/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.5199 (1.6671) Prec@1 60.000 (55.291) Prec@5 87.500 (84.137) Epoch: [72][6250/11272] Time 0.728 (0.781) Data 0.001 (0.002) Loss 1.6989 (1.6672) Prec@1 55.625 (55.289) Prec@5 84.375 (84.135) Epoch: [72][6260/11272] Time 0.889 (0.782) Data 0.002 (0.002) Loss 1.7257 (1.6671) Prec@1 53.750 (55.291) Prec@5 84.375 (84.136) Epoch: [72][6270/11272] Time 0.857 (0.781) Data 0.002 (0.002) Loss 1.8930 (1.6671) Prec@1 49.375 (55.290) Prec@5 83.125 (84.138) Epoch: [72][6280/11272] Time 0.709 (0.781) Data 0.001 (0.002) Loss 1.6106 (1.6670) Prec@1 57.500 (55.292) Prec@5 85.625 (84.139) Epoch: [72][6290/11272] Time 0.732 (0.781) Data 0.001 (0.002) Loss 1.8774 (1.6671) Prec@1 48.125 (55.290) Prec@5 81.875 (84.139) Epoch: [72][6300/11272] Time 0.828 (0.781) Data 0.002 (0.002) Loss 1.6462 (1.6672) Prec@1 57.500 (55.287) Prec@5 83.750 (84.136) Epoch: [72][6310/11272] Time 0.818 (0.781) Data 0.002 (0.002) Loss 1.8254 (1.6672) Prec@1 53.125 (55.290) Prec@5 76.875 (84.136) Epoch: [72][6320/11272] Time 0.745 (0.781) Data 0.001 (0.002) Loss 1.5514 (1.6672) Prec@1 59.375 (55.291) Prec@5 88.125 (84.134) Epoch: [72][6330/11272] Time 0.846 (0.781) Data 0.001 (0.002) Loss 1.8369 (1.6674) Prec@1 56.250 (55.286) Prec@5 80.625 (84.132) Epoch: [72][6340/11272] Time 0.878 (0.781) Data 0.002 (0.002) Loss 1.5791 (1.6674) Prec@1 58.125 (55.288) Prec@5 86.250 (84.132) Epoch: [72][6350/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.6796 (1.6674) Prec@1 54.375 (55.287) Prec@5 85.000 (84.131) Epoch: [72][6360/11272] Time 0.721 (0.781) Data 0.001 (0.002) Loss 1.9378 (1.6676) Prec@1 45.625 (55.282) Prec@5 80.000 (84.128) Epoch: [72][6370/11272] Time 0.837 (0.782) Data 0.001 (0.002) Loss 1.5171 (1.6675) Prec@1 56.875 (55.282) Prec@5 89.375 (84.132) Epoch: [72][6380/11272] Time 0.826 (0.781) Data 0.001 (0.002) Loss 1.5620 (1.6676) Prec@1 55.625 (55.280) Prec@5 85.000 (84.129) Epoch: [72][6390/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 1.8119 (1.6677) Prec@1 48.750 (55.279) Prec@5 84.375 (84.128) Epoch: [72][6400/11272] Time 0.741 (0.781) Data 0.002 (0.002) Loss 1.6604 (1.6677) Prec@1 52.500 (55.275) Prec@5 82.500 (84.126) Epoch: [72][6410/11272] Time 0.826 (0.781) Data 0.001 (0.002) Loss 1.5756 (1.6677) Prec@1 55.625 (55.276) Prec@5 88.750 (84.126) Epoch: [72][6420/11272] Time 0.846 (0.781) Data 0.002 (0.002) Loss 1.7515 (1.6679) Prec@1 56.250 (55.272) Prec@5 80.625 (84.123) Epoch: [72][6430/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.5055 (1.6679) Prec@1 58.750 (55.272) Prec@5 85.625 (84.122) Epoch: [72][6440/11272] Time 0.720 (0.781) Data 0.001 (0.002) Loss 1.5476 (1.6679) Prec@1 58.125 (55.273) Prec@5 88.125 (84.124) Epoch: [72][6450/11272] Time 0.849 (0.781) Data 0.002 (0.002) Loss 1.8309 (1.6679) Prec@1 53.750 (55.272) Prec@5 80.625 (84.123) Epoch: [72][6460/11272] Time 0.844 (0.781) Data 0.002 (0.002) Loss 1.7259 (1.6680) Prec@1 58.125 (55.271) Prec@5 84.375 (84.122) Epoch: [72][6470/11272] Time 0.700 (0.781) Data 0.001 (0.002) Loss 1.4280 (1.6680) Prec@1 61.875 (55.271) Prec@5 87.500 (84.120) Epoch: [72][6480/11272] Time 0.843 (0.781) Data 0.001 (0.002) Loss 1.4798 (1.6681) Prec@1 57.500 (55.269) Prec@5 86.250 (84.120) Epoch: [72][6490/11272] Time 0.780 (0.781) Data 0.001 (0.002) Loss 1.7549 (1.6681) Prec@1 53.750 (55.268) Prec@5 84.375 (84.119) Epoch: [72][6500/11272] Time 0.740 (0.781) Data 0.001 (0.002) Loss 1.6927 (1.6681) Prec@1 55.000 (55.267) Prec@5 85.000 (84.119) Epoch: [72][6510/11272] Time 0.709 (0.781) Data 0.001 (0.002) Loss 1.7366 (1.6682) Prec@1 53.125 (55.267) Prec@5 82.500 (84.119) Epoch: [72][6520/11272] Time 0.823 (0.781) Data 0.002 (0.002) Loss 1.5034 (1.6682) Prec@1 56.250 (55.264) Prec@5 88.125 (84.117) Epoch: [72][6530/11272] Time 0.869 (0.781) Data 0.002 (0.002) Loss 1.7408 (1.6683) Prec@1 55.000 (55.264) Prec@5 81.250 (84.114) Epoch: [72][6540/11272] Time 0.749 (0.781) Data 0.002 (0.002) Loss 1.6524 (1.6683) Prec@1 55.625 (55.265) Prec@5 86.250 (84.113) Epoch: [72][6550/11272] Time 0.743 (0.781) Data 0.002 (0.002) Loss 1.4598 (1.6684) Prec@1 63.125 (55.265) Prec@5 86.250 (84.111) Epoch: [72][6560/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.7396 (1.6685) Prec@1 55.000 (55.262) Prec@5 84.375 (84.111) Epoch: [72][6570/11272] Time 0.789 (0.782) Data 0.001 (0.002) Loss 1.7893 (1.6686) Prec@1 51.250 (55.261) Prec@5 85.000 (84.109) Epoch: [72][6580/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.8929 (1.6686) Prec@1 49.375 (55.262) Prec@5 80.000 (84.109) Epoch: [72][6590/11272] Time 0.705 (0.782) Data 0.001 (0.002) Loss 1.6073 (1.6686) Prec@1 53.750 (55.261) Prec@5 86.875 (84.109) Epoch: [72][6600/11272] Time 0.814 (0.782) Data 0.001 (0.002) Loss 1.8380 (1.6687) Prec@1 51.875 (55.260) Prec@5 86.250 (84.110) Epoch: [72][6610/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.8688 (1.6688) Prec@1 48.750 (55.259) Prec@5 81.250 (84.108) Epoch: [72][6620/11272] Time 0.699 (0.782) Data 0.001 (0.002) Loss 1.6610 (1.6688) Prec@1 53.125 (55.260) Prec@5 85.000 (84.106) Epoch: [72][6630/11272] Time 0.807 (0.782) Data 0.001 (0.002) Loss 2.0334 (1.6688) Prec@1 41.875 (55.258) Prec@5 76.250 (84.105) Epoch: [72][6640/11272] Time 0.879 (0.782) Data 0.002 (0.002) Loss 1.6706 (1.6689) Prec@1 53.750 (55.257) Prec@5 83.125 (84.103) Epoch: [72][6650/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.6382 (1.6689) Prec@1 59.375 (55.258) Prec@5 83.125 (84.104) Epoch: [72][6660/11272] Time 0.740 (0.782) Data 0.001 (0.002) Loss 1.4923 (1.6689) Prec@1 58.750 (55.256) Prec@5 85.000 (84.103) Epoch: [72][6670/11272] Time 0.803 (0.782) Data 0.001 (0.002) Loss 1.6626 (1.6689) Prec@1 57.500 (55.257) Prec@5 83.750 (84.104) Epoch: [72][6680/11272] Time 0.814 (0.782) Data 0.001 (0.002) Loss 1.9044 (1.6688) Prec@1 50.000 (55.258) Prec@5 83.750 (84.105) Epoch: [72][6690/11272] Time 0.719 (0.782) Data 0.002 (0.002) Loss 1.7140 (1.6689) Prec@1 52.500 (55.257) Prec@5 81.250 (84.103) Epoch: [72][6700/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.5167 (1.6688) Prec@1 57.500 (55.259) Prec@5 87.500 (84.105) Epoch: [72][6710/11272] Time 0.825 (0.782) Data 0.001 (0.002) Loss 1.6025 (1.6689) Prec@1 55.625 (55.258) Prec@5 86.250 (84.103) Epoch: [72][6720/11272] Time 0.811 (0.782) Data 0.001 (0.002) Loss 1.5964 (1.6688) Prec@1 55.000 (55.259) Prec@5 85.625 (84.104) Epoch: [72][6730/11272] Time 0.734 (0.782) Data 0.001 (0.002) Loss 1.5156 (1.6688) Prec@1 60.000 (55.257) Prec@5 88.750 (84.106) Epoch: [72][6740/11272] Time 0.850 (0.782) Data 0.001 (0.002) Loss 1.7849 (1.6689) Prec@1 51.875 (55.257) Prec@5 81.250 (84.104) Epoch: [72][6750/11272] Time 0.842 (0.782) Data 0.001 (0.002) Loss 1.5889 (1.6689) Prec@1 60.625 (55.258) Prec@5 83.125 (84.103) Epoch: [72][6760/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.7856 (1.6689) Prec@1 52.500 (55.259) Prec@5 83.750 (84.104) Epoch: [72][6770/11272] Time 0.736 (0.782) Data 0.002 (0.002) Loss 1.5232 (1.6688) Prec@1 55.625 (55.259) Prec@5 83.750 (84.105) Epoch: [72][6780/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.5955 (1.6686) Prec@1 57.500 (55.261) Prec@5 86.875 (84.109) Epoch: [72][6790/11272] Time 0.839 (0.782) Data 0.002 (0.002) Loss 1.6110 (1.6686) Prec@1 53.750 (55.262) Prec@5 85.000 (84.110) Epoch: [72][6800/11272] Time 0.701 (0.782) Data 0.001 (0.002) Loss 1.4376 (1.6686) Prec@1 59.375 (55.263) Prec@5 89.375 (84.111) Epoch: [72][6810/11272] Time 0.782 (0.782) Data 0.006 (0.002) Loss 1.6287 (1.6687) Prec@1 53.125 (55.260) Prec@5 87.500 (84.109) Epoch: [72][6820/11272] Time 0.841 (0.782) Data 0.001 (0.002) Loss 1.6318 (1.6687) Prec@1 55.000 (55.259) Prec@5 85.000 (84.109) Epoch: [72][6830/11272] Time 0.874 (0.782) Data 0.002 (0.002) Loss 1.8106 (1.6687) Prec@1 52.500 (55.258) Prec@5 77.500 (84.109) Epoch: [72][6840/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.7630 (1.6687) Prec@1 50.625 (55.258) Prec@5 83.125 (84.109) Epoch: [72][6850/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.5616 (1.6688) Prec@1 58.750 (55.255) Prec@5 85.625 (84.108) Epoch: [72][6860/11272] Time 0.808 (0.782) Data 0.001 (0.002) Loss 1.6945 (1.6687) Prec@1 56.250 (55.257) Prec@5 80.625 (84.109) Epoch: [72][6870/11272] Time 0.742 (0.782) Data 0.003 (0.002) Loss 1.7661 (1.6686) Prec@1 55.000 (55.257) Prec@5 82.500 (84.109) Epoch: [72][6880/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.5892 (1.6687) Prec@1 59.375 (55.257) Prec@5 85.000 (84.109) Epoch: [72][6890/11272] Time 0.876 (0.782) Data 0.002 (0.002) Loss 1.5575 (1.6687) Prec@1 61.250 (55.257) Prec@5 83.750 (84.107) Epoch: [72][6900/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.5810 (1.6687) Prec@1 59.375 (55.257) Prec@5 85.625 (84.107) Epoch: [72][6910/11272] Time 0.736 (0.782) Data 0.002 (0.002) Loss 1.6857 (1.6688) Prec@1 55.000 (55.255) Prec@5 84.375 (84.107) Epoch: [72][6920/11272] Time 0.738 (0.782) Data 0.001 (0.002) Loss 1.6381 (1.6689) Prec@1 51.875 (55.255) Prec@5 88.125 (84.106) Epoch: [72][6930/11272] Time 0.826 (0.782) Data 0.002 (0.002) Loss 1.6249 (1.6688) Prec@1 55.625 (55.258) Prec@5 83.750 (84.108) Epoch: [72][6940/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.7009 (1.6688) Prec@1 55.000 (55.257) Prec@5 82.500 (84.108) Epoch: [72][6950/11272] Time 0.740 (0.782) Data 0.002 (0.002) Loss 1.9746 (1.6689) Prec@1 51.875 (55.257) Prec@5 76.875 (84.107) Epoch: [72][6960/11272] Time 0.719 (0.782) Data 0.002 (0.002) Loss 1.7810 (1.6689) Prec@1 53.750 (55.256) Prec@5 81.250 (84.105) Epoch: [72][6970/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.7754 (1.6689) Prec@1 55.000 (55.258) Prec@5 81.250 (84.106) Epoch: [72][6980/11272] Time 0.882 (0.782) Data 0.002 (0.002) Loss 1.7893 (1.6689) Prec@1 46.875 (55.256) Prec@5 81.875 (84.106) Epoch: [72][6990/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.5425 (1.6688) Prec@1 60.000 (55.259) Prec@5 85.000 (84.106) Epoch: [72][7000/11272] Time 0.817 (0.782) Data 0.001 (0.002) Loss 1.6824 (1.6688) Prec@1 53.750 (55.259) Prec@5 81.875 (84.105) Epoch: [72][7010/11272] Time 0.857 (0.782) Data 0.002 (0.002) Loss 1.7517 (1.6689) Prec@1 51.250 (55.256) Prec@5 81.875 (84.105) Epoch: [72][7020/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.4375 (1.6688) Prec@1 65.000 (55.260) Prec@5 88.750 (84.105) Epoch: [72][7030/11272] Time 0.743 (0.782) Data 0.002 (0.002) Loss 1.8348 (1.6689) Prec@1 53.125 (55.258) Prec@5 81.875 (84.104) Epoch: [72][7040/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.7546 (1.6689) Prec@1 57.500 (55.260) Prec@5 80.000 (84.104) Epoch: [72][7050/11272] Time 0.812 (0.782) Data 0.002 (0.002) Loss 1.8237 (1.6690) Prec@1 50.625 (55.259) Prec@5 83.125 (84.103) Epoch: [72][7060/11272] Time 0.727 (0.782) Data 0.001 (0.002) Loss 1.3931 (1.6690) Prec@1 60.625 (55.261) Prec@5 86.875 (84.100) Epoch: [72][7070/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.7185 (1.6690) Prec@1 58.125 (55.263) Prec@5 84.375 (84.101) Epoch: [72][7080/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.4360 (1.6689) Prec@1 60.000 (55.265) Prec@5 89.375 (84.102) Epoch: [72][7090/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.7236 (1.6687) Prec@1 58.750 (55.271) Prec@5 82.500 (84.104) Epoch: [72][7100/11272] Time 0.723 (0.782) Data 0.001 (0.002) Loss 1.6072 (1.6687) Prec@1 55.625 (55.270) Prec@5 81.250 (84.103) Epoch: [72][7110/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.9203 (1.6687) Prec@1 50.000 (55.272) Prec@5 77.500 (84.102) Epoch: [72][7120/11272] Time 0.813 (0.782) Data 0.001 (0.002) Loss 1.8109 (1.6686) Prec@1 51.875 (55.273) Prec@5 81.250 (84.103) Epoch: [72][7130/11272] Time 0.722 (0.782) Data 0.003 (0.002) Loss 1.5257 (1.6686) Prec@1 62.500 (55.276) Prec@5 83.125 (84.103) Epoch: [72][7140/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.5244 (1.6686) Prec@1 54.375 (55.273) Prec@5 89.375 (84.102) Epoch: [72][7150/11272] Time 0.835 (0.782) Data 0.001 (0.002) Loss 1.6582 (1.6686) Prec@1 56.250 (55.273) Prec@5 84.375 (84.102) Epoch: [72][7160/11272] Time 0.793 (0.782) Data 0.001 (0.002) Loss 1.6734 (1.6686) Prec@1 53.125 (55.273) Prec@5 86.250 (84.102) Epoch: [72][7170/11272] Time 0.755 (0.782) Data 0.002 (0.002) Loss 1.9245 (1.6687) Prec@1 48.750 (55.273) Prec@5 78.750 (84.101) Epoch: [72][7180/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.6698 (1.6687) Prec@1 50.625 (55.272) Prec@5 83.750 (84.102) Epoch: [72][7190/11272] Time 0.875 (0.782) Data 0.002 (0.002) Loss 1.7303 (1.6685) Prec@1 53.750 (55.274) Prec@5 80.625 (84.102) Epoch: [72][7200/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.5504 (1.6685) Prec@1 62.500 (55.276) Prec@5 85.625 (84.103) Epoch: [72][7210/11272] Time 0.695 (0.782) Data 0.001 (0.002) Loss 1.7735 (1.6686) Prec@1 53.125 (55.273) Prec@5 82.500 (84.101) Epoch: [72][7220/11272] Time 0.689 (0.782) Data 0.001 (0.002) Loss 1.6453 (1.6685) Prec@1 56.875 (55.274) Prec@5 82.500 (84.100) Epoch: [72][7230/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.5449 (1.6685) Prec@1 57.500 (55.275) Prec@5 88.125 (84.100) Epoch: [72][7240/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.5359 (1.6686) Prec@1 56.875 (55.273) Prec@5 86.875 (84.098) Epoch: [72][7250/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.8292 (1.6686) Prec@1 55.625 (55.273) Prec@5 80.625 (84.097) Epoch: [72][7260/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.5891 (1.6686) Prec@1 55.625 (55.275) Prec@5 85.625 (84.098) Epoch: [72][7270/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.6888 (1.6686) Prec@1 54.375 (55.275) Prec@5 83.750 (84.096) Epoch: [72][7280/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.6352 (1.6687) Prec@1 55.625 (55.273) Prec@5 83.125 (84.094) Epoch: [72][7290/11272] Time 0.747 (0.782) Data 0.001 (0.002) Loss 1.5576 (1.6687) Prec@1 58.125 (55.273) Prec@5 86.250 (84.091) Epoch: [72][7300/11272] Time 0.840 (0.782) Data 0.001 (0.002) Loss 1.6827 (1.6687) Prec@1 56.250 (55.275) Prec@5 83.125 (84.091) Epoch: [72][7310/11272] Time 0.853 (0.782) Data 0.001 (0.002) Loss 1.6258 (1.6686) Prec@1 59.375 (55.275) Prec@5 86.875 (84.092) Epoch: [72][7320/11272] Time 0.709 (0.782) Data 0.001 (0.002) Loss 1.5137 (1.6687) Prec@1 62.500 (55.276) Prec@5 85.000 (84.092) Epoch: [72][7330/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.7137 (1.6686) Prec@1 56.875 (55.280) Prec@5 83.750 (84.093) Epoch: [72][7340/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.6426 (1.6686) Prec@1 56.875 (55.279) Prec@5 81.875 (84.094) Epoch: [72][7350/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.8427 (1.6686) Prec@1 51.250 (55.277) Prec@5 81.875 (84.093) Epoch: [72][7360/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.6153 (1.6686) Prec@1 56.875 (55.277) Prec@5 85.625 (84.093) Epoch: [72][7370/11272] Time 0.721 (0.782) Data 0.001 (0.002) Loss 1.8447 (1.6686) Prec@1 50.625 (55.277) Prec@5 82.500 (84.093) Epoch: [72][7380/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.6839 (1.6686) Prec@1 53.750 (55.274) Prec@5 84.375 (84.095) Epoch: [72][7390/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.5746 (1.6686) Prec@1 56.250 (55.277) Prec@5 85.000 (84.096) Epoch: [72][7400/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.6337 (1.6686) Prec@1 56.875 (55.277) Prec@5 83.125 (84.095) Epoch: [72][7410/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.8015 (1.6687) Prec@1 50.625 (55.275) Prec@5 81.250 (84.094) Epoch: [72][7420/11272] Time 0.833 (0.782) Data 0.002 (0.002) Loss 1.6425 (1.6687) Prec@1 55.000 (55.273) Prec@5 82.500 (84.093) Epoch: [72][7430/11272] Time 0.747 (0.782) Data 0.002 (0.002) Loss 1.7240 (1.6687) Prec@1 51.875 (55.273) Prec@5 83.750 (84.092) Epoch: [72][7440/11272] Time 0.741 (0.782) Data 0.002 (0.002) Loss 1.9033 (1.6687) Prec@1 48.125 (55.273) Prec@5 83.125 (84.093) Epoch: [72][7450/11272] Time 0.812 (0.782) Data 0.002 (0.002) Loss 1.5472 (1.6687) Prec@1 58.125 (55.273) Prec@5 86.250 (84.094) Epoch: [72][7460/11272] Time 0.864 (0.782) Data 0.002 (0.002) Loss 1.7964 (1.6687) Prec@1 51.250 (55.273) Prec@5 80.625 (84.093) Epoch: [72][7470/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.4525 (1.6687) Prec@1 58.750 (55.272) Prec@5 88.750 (84.094) Epoch: [72][7480/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.6648 (1.6687) Prec@1 56.875 (55.272) Prec@5 83.125 (84.095) Epoch: [72][7490/11272] Time 0.871 (0.782) Data 0.002 (0.002) Loss 1.8624 (1.6688) Prec@1 49.375 (55.271) Prec@5 81.250 (84.093) Epoch: [72][7500/11272] Time 0.914 (0.782) Data 0.002 (0.002) Loss 1.5453 (1.6688) Prec@1 56.250 (55.271) Prec@5 85.625 (84.094) Epoch: [72][7510/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.5200 (1.6688) Prec@1 54.375 (55.266) Prec@5 86.250 (84.093) Epoch: [72][7520/11272] Time 0.738 (0.782) Data 0.001 (0.002) Loss 1.5281 (1.6689) Prec@1 60.000 (55.265) Prec@5 86.875 (84.093) Epoch: [72][7530/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 2.0048 (1.6689) Prec@1 46.875 (55.262) Prec@5 76.875 (84.093) Epoch: [72][7540/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.9062 (1.6689) Prec@1 50.625 (55.263) Prec@5 77.500 (84.092) Epoch: [72][7550/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.5246 (1.6690) Prec@1 55.625 (55.261) Prec@5 86.875 (84.090) Epoch: [72][7560/11272] Time 0.818 (0.782) Data 0.001 (0.002) Loss 1.9232 (1.6691) Prec@1 46.250 (55.259) Prec@5 77.500 (84.090) Epoch: [72][7570/11272] Time 0.857 (0.782) Data 0.002 (0.002) Loss 1.7687 (1.6691) Prec@1 53.750 (55.257) Prec@5 83.125 (84.088) Epoch: [72][7580/11272] Time 0.704 (0.782) Data 0.001 (0.002) Loss 1.7590 (1.6691) Prec@1 53.750 (55.258) Prec@5 83.750 (84.088) Epoch: [72][7590/11272] Time 0.746 (0.782) Data 0.002 (0.002) Loss 1.5561 (1.6691) Prec@1 51.250 (55.259) Prec@5 86.250 (84.088) Epoch: [72][7600/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.7335 (1.6691) Prec@1 51.250 (55.260) Prec@5 84.375 (84.089) Epoch: [72][7610/11272] Time 0.853 (0.782) Data 0.002 (0.002) Loss 1.5100 (1.6691) Prec@1 58.125 (55.259) Prec@5 87.500 (84.088) Epoch: [72][7620/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.6484 (1.6691) Prec@1 54.375 (55.258) Prec@5 82.500 (84.089) Epoch: [72][7630/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.8864 (1.6692) Prec@1 54.375 (55.257) Prec@5 81.875 (84.089) Epoch: [72][7640/11272] Time 0.815 (0.782) Data 0.001 (0.002) Loss 1.6849 (1.6692) Prec@1 56.875 (55.257) Prec@5 85.625 (84.089) Epoch: [72][7650/11272] Time 0.816 (0.782) Data 0.001 (0.002) Loss 1.5906 (1.6692) Prec@1 61.875 (55.257) Prec@5 80.625 (84.087) Epoch: [72][7660/11272] Time 0.706 (0.782) Data 0.002 (0.002) Loss 1.8771 (1.6693) Prec@1 48.750 (55.255) Prec@5 78.125 (84.086) Epoch: [72][7670/11272] Time 0.822 (0.782) Data 0.001 (0.002) Loss 1.7699 (1.6693) Prec@1 51.250 (55.254) Prec@5 80.625 (84.085) Epoch: [72][7680/11272] Time 0.822 (0.782) Data 0.001 (0.002) Loss 1.5024 (1.6692) Prec@1 61.250 (55.254) Prec@5 85.625 (84.085) Epoch: [72][7690/11272] Time 0.757 (0.782) Data 0.002 (0.002) Loss 1.7363 (1.6693) Prec@1 52.500 (55.253) Prec@5 85.000 (84.085) Epoch: [72][7700/11272] Time 0.696 (0.782) Data 0.001 (0.002) Loss 1.6072 (1.6694) Prec@1 59.375 (55.252) Prec@5 83.750 (84.084) Epoch: [72][7710/11272] Time 0.852 (0.782) Data 0.002 (0.002) Loss 1.8896 (1.6696) Prec@1 48.125 (55.249) Prec@5 82.500 (84.081) Epoch: [72][7720/11272] Time 0.823 (0.782) Data 0.001 (0.002) Loss 1.8032 (1.6697) Prec@1 48.750 (55.247) Prec@5 83.750 (84.078) Epoch: [72][7730/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.6957 (1.6698) Prec@1 51.250 (55.245) Prec@5 84.375 (84.077) Epoch: [72][7740/11272] Time 0.744 (0.782) Data 0.001 (0.002) Loss 1.6256 (1.6698) Prec@1 61.250 (55.244) Prec@5 85.625 (84.077) Epoch: [72][7750/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.7026 (1.6699) Prec@1 55.000 (55.243) Prec@5 83.125 (84.077) Epoch: [72][7760/11272] Time 0.803 (0.782) Data 0.001 (0.002) Loss 1.7087 (1.6699) Prec@1 53.125 (55.242) Prec@5 80.625 (84.077) Epoch: [72][7770/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.6016 (1.6699) Prec@1 56.875 (55.239) Prec@5 86.250 (84.076) Epoch: [72][7780/11272] Time 0.709 (0.782) Data 0.001 (0.002) Loss 1.6905 (1.6699) Prec@1 53.750 (55.238) Prec@5 83.125 (84.076) Epoch: [72][7790/11272] Time 0.921 (0.782) Data 0.002 (0.002) Loss 1.5043 (1.6699) Prec@1 53.750 (55.237) Prec@5 85.625 (84.076) Epoch: [72][7800/11272] Time 0.706 (0.782) Data 0.003 (0.002) Loss 1.5118 (1.6699) Prec@1 60.625 (55.239) Prec@5 89.375 (84.077) Epoch: [72][7810/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.9539 (1.6699) Prec@1 44.375 (55.239) Prec@5 83.125 (84.076) Epoch: [72][7820/11272] Time 0.818 (0.782) Data 0.002 (0.002) Loss 1.6786 (1.6699) Prec@1 57.500 (55.239) Prec@5 85.000 (84.078) Epoch: [72][7830/11272] Time 0.816 (0.782) Data 0.001 (0.002) Loss 1.8139 (1.6699) Prec@1 54.375 (55.238) Prec@5 84.375 (84.077) Epoch: [72][7840/11272] Time 0.702 (0.782) Data 0.001 (0.002) Loss 1.6985 (1.6699) Prec@1 53.125 (55.239) Prec@5 87.500 (84.078) Epoch: [72][7850/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.5578 (1.6699) Prec@1 60.000 (55.239) Prec@5 88.125 (84.078) Epoch: [72][7860/11272] Time 0.892 (0.782) Data 0.003 (0.002) Loss 1.6398 (1.6700) Prec@1 53.750 (55.239) Prec@5 84.375 (84.076) Epoch: [72][7870/11272] Time 0.882 (0.782) Data 0.002 (0.002) Loss 1.5461 (1.6699) Prec@1 58.125 (55.241) Prec@5 86.250 (84.076) Epoch: [72][7880/11272] Time 0.723 (0.782) Data 0.001 (0.002) Loss 2.0504 (1.6700) Prec@1 46.250 (55.242) Prec@5 76.875 (84.074) Epoch: [72][7890/11272] Time 0.749 (0.782) Data 0.001 (0.002) Loss 1.7273 (1.6700) Prec@1 53.750 (55.243) Prec@5 82.500 (84.074) Epoch: [72][7900/11272] Time 0.865 (0.782) Data 0.001 (0.002) Loss 1.5686 (1.6699) Prec@1 57.500 (55.245) Prec@5 85.625 (84.075) Epoch: [72][7910/11272] Time 0.808 (0.782) Data 0.001 (0.002) Loss 1.6152 (1.6698) Prec@1 53.750 (55.247) Prec@5 81.250 (84.074) Epoch: [72][7920/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.5915 (1.6699) Prec@1 58.750 (55.244) Prec@5 87.500 (84.073) Epoch: [72][7930/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.8794 (1.6700) Prec@1 54.375 (55.241) Prec@5 78.125 (84.072) Epoch: [72][7940/11272] Time 0.866 (0.782) Data 0.002 (0.002) Loss 1.7385 (1.6700) Prec@1 49.375 (55.239) Prec@5 84.375 (84.072) Epoch: [72][7950/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.8019 (1.6700) Prec@1 51.875 (55.240) Prec@5 80.625 (84.073) Epoch: [72][7960/11272] Time 0.727 (0.782) Data 0.001 (0.002) Loss 1.7464 (1.6700) Prec@1 53.750 (55.239) Prec@5 81.250 (84.071) Epoch: [72][7970/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.4750 (1.6700) Prec@1 56.875 (55.238) Prec@5 90.000 (84.071) Epoch: [72][7980/11272] Time 0.835 (0.782) Data 0.001 (0.002) Loss 1.7308 (1.6702) Prec@1 58.750 (55.239) Prec@5 82.500 (84.069) Epoch: [72][7990/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.5207 (1.6702) Prec@1 60.000 (55.239) Prec@5 83.750 (84.068) Epoch: [72][8000/11272] Time 0.725 (0.782) Data 0.001 (0.002) Loss 1.4375 (1.6702) Prec@1 57.500 (55.240) Prec@5 86.875 (84.068) Epoch: [72][8010/11272] Time 0.818 (0.782) Data 0.001 (0.002) Loss 1.5251 (1.6702) Prec@1 58.125 (55.240) Prec@5 88.125 (84.068) Epoch: [72][8020/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.6444 (1.6702) Prec@1 54.375 (55.239) Prec@5 83.750 (84.068) Epoch: [72][8030/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.5750 (1.6702) Prec@1 63.750 (55.239) Prec@5 86.250 (84.067) Epoch: [72][8040/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.6378 (1.6703) Prec@1 55.625 (55.236) Prec@5 83.750 (84.066) Epoch: [72][8050/11272] Time 0.826 (0.782) Data 0.002 (0.002) Loss 1.9146 (1.6704) Prec@1 48.750 (55.235) Prec@5 85.625 (84.065) Epoch: [72][8060/11272] Time 0.704 (0.782) Data 0.003 (0.002) Loss 1.5729 (1.6704) Prec@1 56.250 (55.232) Prec@5 85.000 (84.064) Epoch: [72][8070/11272] Time 0.744 (0.782) Data 0.001 (0.002) Loss 1.6201 (1.6704) Prec@1 60.625 (55.233) Prec@5 83.125 (84.065) Epoch: [72][8080/11272] Time 0.833 (0.782) Data 0.002 (0.002) Loss 1.7676 (1.6704) Prec@1 47.500 (55.232) Prec@5 85.000 (84.065) Epoch: [72][8090/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.7514 (1.6705) Prec@1 54.375 (55.230) Prec@5 83.125 (84.063) Epoch: [72][8100/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.6288 (1.6704) Prec@1 58.125 (55.231) Prec@5 84.375 (84.066) Epoch: [72][8110/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.7099 (1.6705) Prec@1 49.375 (55.229) Prec@5 83.750 (84.066) Epoch: [72][8120/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.6804 (1.6704) Prec@1 55.000 (55.229) Prec@5 85.625 (84.067) Epoch: [72][8130/11272] Time 0.808 (0.782) Data 0.001 (0.002) Loss 1.5687 (1.6705) Prec@1 56.875 (55.227) Prec@5 86.875 (84.065) Epoch: [72][8140/11272] Time 0.733 (0.782) Data 0.001 (0.002) Loss 1.5961 (1.6705) Prec@1 56.250 (55.227) Prec@5 85.000 (84.065) Epoch: [72][8150/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.5880 (1.6706) Prec@1 55.000 (55.226) Prec@5 85.000 (84.063) Epoch: [72][8160/11272] Time 0.866 (0.782) Data 0.002 (0.002) Loss 1.6120 (1.6706) Prec@1 51.250 (55.225) Prec@5 88.125 (84.064) Epoch: [72][8170/11272] Time 0.836 (0.782) Data 0.001 (0.002) Loss 1.5029 (1.6707) Prec@1 60.625 (55.220) Prec@5 84.375 (84.062) Epoch: [72][8180/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.5556 (1.6708) Prec@1 53.750 (55.218) Prec@5 86.875 (84.061) Epoch: [72][8190/11272] Time 0.833 (0.782) Data 0.001 (0.002) Loss 1.5976 (1.6708) Prec@1 54.375 (55.216) Prec@5 88.125 (84.062) Epoch: [72][8200/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.8652 (1.6707) Prec@1 48.125 (55.217) Prec@5 80.625 (84.063) Epoch: [72][8210/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.5409 (1.6708) Prec@1 56.875 (55.216) Prec@5 85.625 (84.061) Epoch: [72][8220/11272] Time 0.745 (0.782) Data 0.002 (0.002) Loss 1.7809 (1.6708) Prec@1 55.000 (55.215) Prec@5 83.750 (84.060) Epoch: [72][8230/11272] Time 0.853 (0.782) Data 0.001 (0.002) Loss 1.4542 (1.6709) Prec@1 58.125 (55.214) Prec@5 86.875 (84.059) Epoch: [72][8240/11272] Time 0.871 (0.782) Data 0.002 (0.002) Loss 1.4489 (1.6708) Prec@1 59.375 (55.212) Prec@5 86.250 (84.060) Epoch: [72][8250/11272] Time 0.736 (0.782) Data 0.001 (0.002) Loss 1.9098 (1.6709) Prec@1 51.250 (55.209) Prec@5 84.375 (84.060) Epoch: [72][8260/11272] Time 0.745 (0.782) Data 0.002 (0.002) Loss 1.5739 (1.6708) Prec@1 52.500 (55.209) Prec@5 85.000 (84.061) Epoch: [72][8270/11272] Time 0.813 (0.782) Data 0.001 (0.002) Loss 1.8721 (1.6709) Prec@1 51.875 (55.210) Prec@5 80.000 (84.059) Epoch: [72][8280/11272] Time 0.845 (0.782) Data 0.002 (0.002) Loss 1.7412 (1.6710) Prec@1 52.500 (55.206) Prec@5 83.750 (84.059) Epoch: [72][8290/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.8246 (1.6710) Prec@1 55.000 (55.207) Prec@5 81.250 (84.059) Epoch: [72][8300/11272] Time 0.719 (0.782) Data 0.002 (0.002) Loss 1.9000 (1.6710) Prec@1 55.000 (55.208) Prec@5 80.625 (84.059) Epoch: [72][8310/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.7723 (1.6710) Prec@1 53.750 (55.208) Prec@5 81.875 (84.059) Epoch: [72][8320/11272] Time 0.839 (0.782) Data 0.002 (0.002) Loss 1.6200 (1.6710) Prec@1 54.375 (55.206) Prec@5 86.875 (84.059) Epoch: [72][8330/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.6974 (1.6709) Prec@1 55.625 (55.208) Prec@5 83.125 (84.060) Epoch: [72][8340/11272] Time 0.861 (0.782) Data 0.001 (0.002) Loss 1.9568 (1.6710) Prec@1 52.500 (55.207) Prec@5 78.750 (84.060) Epoch: [72][8350/11272] Time 0.820 (0.782) Data 0.002 (0.002) Loss 1.8444 (1.6710) Prec@1 56.250 (55.206) Prec@5 77.500 (84.060) Epoch: [72][8360/11272] Time 0.705 (0.782) Data 0.002 (0.002) Loss 1.7312 (1.6710) Prec@1 53.125 (55.207) Prec@5 83.750 (84.060) Epoch: [72][8370/11272] Time 0.690 (0.782) Data 0.001 (0.002) Loss 1.3966 (1.6710) Prec@1 60.000 (55.206) Prec@5 90.000 (84.059) Epoch: [72][8380/11272] Time 0.832 (0.782) Data 0.002 (0.002) Loss 1.5670 (1.6710) Prec@1 51.875 (55.205) Prec@5 89.375 (84.059) Epoch: [72][8390/11272] Time 0.852 (0.782) Data 0.001 (0.002) Loss 1.7019 (1.6711) Prec@1 53.125 (55.204) Prec@5 81.250 (84.058) Epoch: [72][8400/11272] Time 0.750 (0.782) Data 0.001 (0.002) Loss 1.7961 (1.6712) Prec@1 56.875 (55.204) Prec@5 79.375 (84.056) Epoch: [72][8410/11272] Time 0.721 (0.782) Data 0.002 (0.002) Loss 1.6451 (1.6711) Prec@1 55.625 (55.205) Prec@5 85.625 (84.057) Epoch: [72][8420/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.6659 (1.6711) Prec@1 58.125 (55.205) Prec@5 82.500 (84.057) Epoch: [72][8430/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.5615 (1.6710) Prec@1 57.500 (55.207) Prec@5 84.375 (84.060) Epoch: [72][8440/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.6914 (1.6710) Prec@1 54.375 (55.206) Prec@5 85.625 (84.061) Epoch: [72][8450/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.6106 (1.6710) Prec@1 56.875 (55.205) Prec@5 85.000 (84.061) Epoch: [72][8460/11272] Time 0.874 (0.782) Data 0.002 (0.002) Loss 1.8416 (1.6710) Prec@1 52.500 (55.203) Prec@5 81.250 (84.062) Epoch: [72][8470/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.5747 (1.6710) Prec@1 56.875 (55.204) Prec@5 86.875 (84.061) Epoch: [72][8480/11272] Time 0.705 (0.782) Data 0.001 (0.002) Loss 1.7544 (1.6710) Prec@1 55.000 (55.202) Prec@5 81.875 (84.062) Epoch: [72][8490/11272] Time 0.805 (0.782) Data 0.001 (0.002) Loss 1.6776 (1.6710) Prec@1 50.000 (55.204) Prec@5 82.500 (84.061) Epoch: [72][8500/11272] Time 0.806 (0.782) Data 0.001 (0.002) Loss 1.5437 (1.6711) Prec@1 57.500 (55.203) Prec@5 88.750 (84.059) Epoch: [72][8510/11272] Time 0.704 (0.782) Data 0.001 (0.002) Loss 1.6887 (1.6711) Prec@1 57.500 (55.202) Prec@5 85.625 (84.059) Epoch: [72][8520/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.7261 (1.6711) Prec@1 53.750 (55.203) Prec@5 83.125 (84.058) Epoch: [72][8530/11272] Time 0.829 (0.782) Data 0.002 (0.002) Loss 1.4440 (1.6711) Prec@1 60.000 (55.204) Prec@5 88.750 (84.058) Epoch: [72][8540/11272] Time 0.852 (0.782) Data 0.002 (0.002) Loss 1.8440 (1.6711) Prec@1 52.500 (55.205) Prec@5 78.750 (84.056) Epoch: [72][8550/11272] Time 0.701 (0.782) Data 0.001 (0.002) Loss 1.5794 (1.6710) Prec@1 57.500 (55.207) Prec@5 87.500 (84.058) Epoch: [72][8560/11272] Time 0.711 (0.782) Data 0.002 (0.002) Loss 1.7802 (1.6710) Prec@1 58.125 (55.209) Prec@5 81.250 (84.057) Epoch: [72][8570/11272] Time 0.820 (0.782) Data 0.002 (0.002) Loss 1.6095 (1.6710) Prec@1 56.250 (55.208) Prec@5 87.500 (84.058) Epoch: [72][8580/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.6083 (1.6710) Prec@1 54.375 (55.208) Prec@5 84.375 (84.056) Epoch: [72][8590/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.7431 (1.6710) Prec@1 51.875 (55.207) Prec@5 80.625 (84.056) Epoch: [72][8600/11272] Time 0.767 (0.782) Data 0.001 (0.002) Loss 1.7111 (1.6711) Prec@1 57.500 (55.205) Prec@5 80.625 (84.053) Epoch: [72][8610/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.4257 (1.6712) Prec@1 55.000 (55.203) Prec@5 90.000 (84.054) Epoch: [72][8620/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.5739 (1.6711) Prec@1 58.750 (55.204) Prec@5 86.875 (84.056) Epoch: [72][8630/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.5284 (1.6711) Prec@1 58.125 (55.205) Prec@5 85.000 (84.056) Epoch: [72][8640/11272] Time 0.819 (0.782) Data 0.001 (0.002) Loss 1.7546 (1.6711) Prec@1 50.000 (55.204) Prec@5 83.750 (84.055) Epoch: [72][8650/11272] Time 0.838 (0.782) Data 0.001 (0.002) Loss 1.8810 (1.6712) Prec@1 47.500 (55.202) Prec@5 76.875 (84.055) Epoch: [72][8660/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.6524 (1.6712) Prec@1 57.500 (55.202) Prec@5 85.000 (84.055) Epoch: [72][8670/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.7944 (1.6713) Prec@1 55.625 (55.200) Prec@5 81.875 (84.054) Epoch: [72][8680/11272] Time 0.846 (0.782) Data 0.002 (0.002) Loss 1.5732 (1.6712) Prec@1 58.125 (55.200) Prec@5 83.750 (84.056) Epoch: [72][8690/11272] Time 0.870 (0.782) Data 0.002 (0.002) Loss 1.7572 (1.6712) Prec@1 51.250 (55.198) Prec@5 80.000 (84.055) Epoch: [72][8700/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.7835 (1.6712) Prec@1 48.750 (55.198) Prec@5 81.250 (84.054) Epoch: [72][8710/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.6317 (1.6712) Prec@1 53.750 (55.198) Prec@5 86.250 (84.054) Epoch: [72][8720/11272] Time 0.820 (0.782) Data 0.001 (0.002) Loss 1.6099 (1.6713) Prec@1 53.125 (55.194) Prec@5 86.250 (84.053) Epoch: [72][8730/11272] Time 0.743 (0.782) Data 0.003 (0.002) Loss 1.8115 (1.6714) Prec@1 53.125 (55.192) Prec@5 80.625 (84.051) Epoch: [72][8740/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.6531 (1.6714) Prec@1 52.500 (55.193) Prec@5 86.875 (84.050) Epoch: [72][8750/11272] Time 0.867 (0.782) Data 0.002 (0.002) Loss 1.7835 (1.6715) Prec@1 50.625 (55.193) Prec@5 83.750 (84.049) Epoch: [72][8760/11272] Time 0.828 (0.782) Data 0.002 (0.002) Loss 1.7427 (1.6714) Prec@1 50.625 (55.192) Prec@5 86.250 (84.049) Epoch: [72][8770/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.5627 (1.6715) Prec@1 58.750 (55.191) Prec@5 84.375 (84.048) Epoch: [72][8780/11272] Time 0.695 (0.782) Data 0.001 (0.002) Loss 1.7548 (1.6715) Prec@1 51.875 (55.191) Prec@5 82.500 (84.047) Epoch: [72][8790/11272] Time 0.840 (0.782) Data 0.002 (0.002) Loss 1.3082 (1.6715) Prec@1 68.125 (55.194) Prec@5 90.000 (84.048) Epoch: [72][8800/11272] Time 0.853 (0.782) Data 0.002 (0.002) Loss 1.5905 (1.6714) Prec@1 57.500 (55.195) Prec@5 83.125 (84.049) Epoch: [72][8810/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.5899 (1.6715) Prec@1 53.750 (55.194) Prec@5 85.625 (84.050) Epoch: [72][8820/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.5748 (1.6715) Prec@1 58.125 (55.193) Prec@5 88.750 (84.049) Epoch: [72][8830/11272] Time 0.849 (0.782) Data 0.002 (0.002) Loss 1.6956 (1.6716) Prec@1 54.375 (55.193) Prec@5 84.375 (84.047) Epoch: [72][8840/11272] Time 0.884 (0.782) Data 0.002 (0.002) Loss 1.7923 (1.6717) Prec@1 55.000 (55.191) Prec@5 80.000 (84.044) Epoch: [72][8850/11272] Time 0.751 (0.782) Data 0.001 (0.002) Loss 1.6677 (1.6717) Prec@1 56.875 (55.191) Prec@5 82.500 (84.045) Epoch: [72][8860/11272] Time 0.790 (0.782) Data 0.001 (0.002) Loss 1.5554 (1.6716) Prec@1 61.875 (55.191) Prec@5 83.750 (84.045) Epoch: [72][8870/11272] Time 0.881 (0.782) Data 0.003 (0.002) Loss 1.8445 (1.6718) Prec@1 51.250 (55.188) Prec@5 83.750 (84.041) Epoch: [72][8880/11272] Time 0.725 (0.782) Data 0.001 (0.002) Loss 1.5429 (1.6718) Prec@1 58.125 (55.188) Prec@5 85.625 (84.041) Epoch: [72][8890/11272] Time 0.720 (0.782) Data 0.002 (0.002) Loss 1.4994 (1.6718) Prec@1 54.375 (55.188) Prec@5 84.375 (84.040) Epoch: [72][8900/11272] Time 0.867 (0.782) Data 0.002 (0.002) Loss 1.8289 (1.6718) Prec@1 52.500 (55.187) Prec@5 81.250 (84.039) Epoch: [72][8910/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.6530 (1.6718) Prec@1 52.500 (55.185) Prec@5 83.750 (84.038) Epoch: [72][8920/11272] Time 0.753 (0.782) Data 0.001 (0.002) Loss 1.6374 (1.6718) Prec@1 59.375 (55.186) Prec@5 82.500 (84.038) Epoch: [72][8930/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.5669 (1.6719) Prec@1 56.250 (55.184) Prec@5 81.250 (84.037) Epoch: [72][8940/11272] Time 0.844 (0.782) Data 0.002 (0.002) Loss 1.5668 (1.6719) Prec@1 60.000 (55.185) Prec@5 82.500 (84.038) Epoch: [72][8950/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.9255 (1.6719) Prec@1 52.500 (55.183) Prec@5 75.000 (84.036) Epoch: [72][8960/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.6890 (1.6719) Prec@1 53.750 (55.184) Prec@5 83.125 (84.038) Epoch: [72][8970/11272] Time 0.732 (0.782) Data 0.001 (0.002) Loss 1.3896 (1.6719) Prec@1 64.375 (55.183) Prec@5 87.500 (84.037) Epoch: [72][8980/11272] Time 0.782 (0.782) Data 0.001 (0.002) Loss 1.6659 (1.6720) Prec@1 55.625 (55.182) Prec@5 83.750 (84.036) Epoch: [72][8990/11272] Time 0.724 (0.782) Data 0.003 (0.002) Loss 1.8722 (1.6720) Prec@1 52.500 (55.183) Prec@5 77.500 (84.037) Epoch: [72][9000/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.7837 (1.6721) Prec@1 55.625 (55.182) Prec@5 85.000 (84.036) Epoch: [72][9010/11272] Time 0.874 (0.782) Data 0.002 (0.002) Loss 1.6384 (1.6720) Prec@1 55.000 (55.181) Prec@5 86.250 (84.039) Epoch: [72][9020/11272] Time 0.894 (0.782) Data 0.003 (0.002) Loss 1.6989 (1.6720) Prec@1 60.000 (55.182) Prec@5 81.875 (84.038) Epoch: [72][9030/11272] Time 0.739 (0.782) Data 0.001 (0.002) Loss 1.8844 (1.6720) Prec@1 52.500 (55.181) Prec@5 78.125 (84.039) Epoch: [72][9040/11272] Time 0.727 (0.782) Data 0.002 (0.002) Loss 1.6923 (1.6720) Prec@1 53.750 (55.181) Prec@5 85.625 (84.040) Epoch: [72][9050/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.6927 (1.6720) Prec@1 51.875 (55.180) Prec@5 85.000 (84.040) Epoch: [72][9060/11272] Time 0.839 (0.782) Data 0.002 (0.002) Loss 1.6859 (1.6719) Prec@1 50.625 (55.178) Prec@5 87.500 (84.042) Epoch: [72][9070/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.6573 (1.6720) Prec@1 56.875 (55.177) Prec@5 87.500 (84.040) Epoch: [72][9080/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.5220 (1.6719) Prec@1 55.000 (55.176) Prec@5 87.500 (84.041) Epoch: [72][9090/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.6054 (1.6720) Prec@1 58.125 (55.175) Prec@5 84.375 (84.040) Epoch: [72][9100/11272] Time 0.834 (0.782) Data 0.002 (0.002) Loss 1.8176 (1.6721) Prec@1 48.750 (55.173) Prec@5 80.625 (84.038) Epoch: [72][9110/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.6111 (1.6721) Prec@1 54.375 (55.171) Prec@5 83.750 (84.037) Epoch: [72][9120/11272] Time 0.814 (0.782) Data 0.001 (0.002) Loss 1.5962 (1.6721) Prec@1 61.250 (55.171) Prec@5 87.500 (84.037) Epoch: [72][9130/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.5452 (1.6721) Prec@1 55.625 (55.173) Prec@5 89.375 (84.036) Epoch: [72][9140/11272] Time 0.739 (0.782) Data 0.001 (0.002) Loss 1.7879 (1.6722) Prec@1 53.125 (55.173) Prec@5 78.750 (84.035) Epoch: [72][9150/11272] Time 0.730 (0.782) Data 0.001 (0.002) Loss 1.7118 (1.6722) Prec@1 53.750 (55.173) Prec@5 85.000 (84.035) Epoch: [72][9160/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.6274 (1.6722) Prec@1 55.625 (55.171) Prec@5 81.250 (84.034) Epoch: [72][9170/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.9381 (1.6723) Prec@1 50.000 (55.168) Prec@5 78.750 (84.033) Epoch: [72][9180/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.5754 (1.6724) Prec@1 56.875 (55.167) Prec@5 83.750 (84.032) Epoch: [72][9190/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.4958 (1.6724) Prec@1 60.000 (55.165) Prec@5 87.500 (84.033) Epoch: [72][9200/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.6826 (1.6723) Prec@1 54.375 (55.165) Prec@5 80.000 (84.034) Epoch: [72][9210/11272] Time 0.837 (0.782) Data 0.002 (0.002) Loss 1.6922 (1.6723) Prec@1 58.750 (55.165) Prec@5 85.000 (84.035) Epoch: [72][9220/11272] Time 0.714 (0.782) Data 0.002 (0.002) Loss 1.9128 (1.6724) Prec@1 50.625 (55.164) Prec@5 78.750 (84.034) Epoch: [72][9230/11272] Time 0.751 (0.782) Data 0.002 (0.002) Loss 1.7178 (1.6724) Prec@1 54.375 (55.163) Prec@5 86.875 (84.034) Epoch: [72][9240/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.6317 (1.6724) Prec@1 55.000 (55.164) Prec@5 86.250 (84.035) Epoch: [72][9250/11272] Time 0.853 (0.782) Data 0.002 (0.002) Loss 1.7103 (1.6724) Prec@1 57.500 (55.163) Prec@5 81.875 (84.034) Epoch: [72][9260/11272] Time 0.703 (0.782) Data 0.001 (0.002) Loss 1.7950 (1.6725) Prec@1 59.375 (55.162) Prec@5 81.250 (84.033) Epoch: [72][9270/11272] Time 0.852 (0.782) Data 0.002 (0.002) Loss 1.8542 (1.6725) Prec@1 55.000 (55.160) Prec@5 80.000 (84.032) Epoch: [72][9280/11272] Time 0.843 (0.782) Data 0.001 (0.002) Loss 1.8305 (1.6725) Prec@1 51.875 (55.161) Prec@5 83.125 (84.033) Epoch: [72][9290/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.7327 (1.6725) Prec@1 53.125 (55.161) Prec@5 82.500 (84.033) Epoch: [72][9300/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.8753 (1.6726) Prec@1 58.750 (55.160) Prec@5 77.500 (84.030) Epoch: [72][9310/11272] Time 0.847 (0.782) Data 0.001 (0.002) Loss 1.5314 (1.6727) Prec@1 61.875 (55.159) Prec@5 86.875 (84.028) Epoch: [72][9320/11272] Time 0.891 (0.782) Data 0.002 (0.002) Loss 1.4869 (1.6726) Prec@1 63.125 (55.160) Prec@5 87.500 (84.030) Epoch: [72][9330/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.8477 (1.6726) Prec@1 51.875 (55.160) Prec@5 78.750 (84.030) Epoch: [72][9340/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.7157 (1.6726) Prec@1 53.125 (55.161) Prec@5 85.000 (84.030) Epoch: [72][9350/11272] Time 0.827 (0.782) Data 0.001 (0.002) Loss 1.7725 (1.6726) Prec@1 56.875 (55.157) Prec@5 84.375 (84.029) Epoch: [72][9360/11272] Time 0.812 (0.782) Data 0.001 (0.002) Loss 1.7616 (1.6726) Prec@1 53.125 (55.157) Prec@5 82.500 (84.029) Epoch: [72][9370/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.4750 (1.6725) Prec@1 57.500 (55.160) Prec@5 88.125 (84.030) Epoch: [72][9380/11272] Time 0.676 (0.782) Data 0.001 (0.002) Loss 1.7358 (1.6725) Prec@1 56.250 (55.162) Prec@5 81.875 (84.030) Epoch: [72][9390/11272] Time 0.804 (0.782) Data 0.001 (0.002) Loss 1.8571 (1.6725) Prec@1 49.375 (55.160) Prec@5 81.250 (84.031) Epoch: [72][9400/11272] Time 0.696 (0.782) Data 0.001 (0.002) Loss 1.7271 (1.6726) Prec@1 53.750 (55.160) Prec@5 83.125 (84.030) Epoch: [72][9410/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.4136 (1.6726) Prec@1 60.000 (55.159) Prec@5 90.000 (84.030) Epoch: [72][9420/11272] Time 0.864 (0.782) Data 0.001 (0.002) Loss 1.4734 (1.6725) Prec@1 60.625 (55.160) Prec@5 86.875 (84.032) Epoch: [72][9430/11272] Time 0.868 (0.782) Data 0.001 (0.002) Loss 1.5389 (1.6725) Prec@1 59.375 (55.159) Prec@5 86.875 (84.033) Epoch: [72][9440/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.7387 (1.6725) Prec@1 53.125 (55.157) Prec@5 83.125 (84.033) Epoch: [72][9450/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.7323 (1.6725) Prec@1 53.750 (55.160) Prec@5 83.750 (84.034) Epoch: [72][9460/11272] Time 0.865 (0.782) Data 0.002 (0.002) Loss 1.5838 (1.6726) Prec@1 53.125 (55.156) Prec@5 85.625 (84.034) Epoch: [72][9470/11272] Time 0.850 (0.782) Data 0.002 (0.002) Loss 1.7484 (1.6726) Prec@1 53.125 (55.155) Prec@5 82.500 (84.034) Epoch: [72][9480/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.7440 (1.6727) Prec@1 50.625 (55.153) Prec@5 83.750 (84.034) Epoch: [72][9490/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.4500 (1.6727) Prec@1 60.625 (55.153) Prec@5 86.250 (84.032) Epoch: [72][9500/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.6569 (1.6727) Prec@1 59.375 (55.155) Prec@5 83.125 (84.032) Epoch: [72][9510/11272] Time 0.805 (0.782) Data 0.002 (0.002) Loss 1.6540 (1.6727) Prec@1 53.125 (55.154) Prec@5 86.875 (84.032) Epoch: [72][9520/11272] Time 0.727 (0.782) Data 0.001 (0.002) Loss 1.6568 (1.6727) Prec@1 58.125 (55.154) Prec@5 80.625 (84.031) Epoch: [72][9530/11272] Time 0.793 (0.782) Data 0.001 (0.002) Loss 1.6833 (1.6727) Prec@1 57.500 (55.157) Prec@5 81.875 (84.030) Epoch: [72][9540/11272] Time 0.861 (0.782) Data 0.002 (0.002) Loss 1.7722 (1.6727) Prec@1 56.875 (55.157) Prec@5 81.250 (84.031) Epoch: [72][9550/11272] Time 0.758 (0.782) Data 0.001 (0.002) Loss 1.5356 (1.6727) Prec@1 55.625 (55.155) Prec@5 85.625 (84.029) Epoch: [72][9560/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.5166 (1.6727) Prec@1 60.625 (55.156) Prec@5 85.625 (84.028) Epoch: [72][9570/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.6417 (1.6727) Prec@1 51.250 (55.155) Prec@5 83.125 (84.028) Epoch: [72][9580/11272] Time 0.854 (0.782) Data 0.001 (0.002) Loss 1.5319 (1.6727) Prec@1 58.750 (55.155) Prec@5 86.250 (84.027) Epoch: [72][9590/11272] Time 0.694 (0.782) Data 0.001 (0.002) Loss 1.6884 (1.6728) Prec@1 51.875 (55.155) Prec@5 83.750 (84.026) Epoch: [72][9600/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.5493 (1.6727) Prec@1 60.625 (55.156) Prec@5 85.000 (84.026) Epoch: [72][9610/11272] Time 0.803 (0.782) Data 0.001 (0.002) Loss 1.8159 (1.6728) Prec@1 51.875 (55.157) Prec@5 82.500 (84.024) Epoch: [72][9620/11272] Time 0.812 (0.782) Data 0.001 (0.002) Loss 1.4181 (1.6727) Prec@1 61.250 (55.157) Prec@5 86.875 (84.026) Epoch: [72][9630/11272] Time 0.719 (0.782) Data 0.002 (0.002) Loss 1.4872 (1.6727) Prec@1 60.000 (55.157) Prec@5 85.000 (84.026) Epoch: [72][9640/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.6740 (1.6727) Prec@1 55.625 (55.157) Prec@5 86.250 (84.025) Epoch: [72][9650/11272] Time 0.866 (0.782) Data 0.001 (0.002) Loss 1.7678 (1.6727) Prec@1 51.250 (55.156) Prec@5 84.375 (84.025) Epoch: [72][9660/11272] Time 0.732 (0.782) Data 0.003 (0.002) Loss 1.9354 (1.6728) Prec@1 52.500 (55.154) Prec@5 81.250 (84.023) Epoch: [72][9670/11272] Time 0.709 (0.782) Data 0.001 (0.002) Loss 1.3243 (1.6728) Prec@1 67.500 (55.155) Prec@5 88.750 (84.024) Epoch: [72][9680/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.8448 (1.6729) Prec@1 55.000 (55.155) Prec@5 81.875 (84.022) Epoch: [72][9690/11272] Time 0.803 (0.782) Data 0.001 (0.002) Loss 1.7435 (1.6728) Prec@1 51.875 (55.156) Prec@5 83.125 (84.023) Epoch: [72][9700/11272] Time 0.737 (0.782) Data 0.001 (0.002) Loss 1.5379 (1.6728) Prec@1 61.250 (55.156) Prec@5 84.375 (84.022) Epoch: [72][9710/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.6419 (1.6728) Prec@1 61.250 (55.157) Prec@5 83.125 (84.022) Epoch: [72][9720/11272] Time 0.819 (0.782) Data 0.002 (0.002) Loss 1.4543 (1.6728) Prec@1 56.250 (55.156) Prec@5 88.750 (84.022) Epoch: [72][9730/11272] Time 0.837 (0.782) Data 0.002 (0.002) Loss 1.6651 (1.6728) Prec@1 55.000 (55.155) Prec@5 84.375 (84.022) Epoch: [72][9740/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.8194 (1.6728) Prec@1 51.875 (55.154) Prec@5 84.375 (84.021) Epoch: [72][9750/11272] Time 0.697 (0.782) Data 0.001 (0.002) Loss 1.6027 (1.6729) Prec@1 56.250 (55.152) Prec@5 81.250 (84.019) Epoch: [72][9760/11272] Time 0.816 (0.782) Data 0.001 (0.002) Loss 1.7843 (1.6728) Prec@1 54.375 (55.154) Prec@5 84.375 (84.019) Epoch: [72][9770/11272] Time 0.862 (0.782) Data 0.001 (0.002) Loss 1.8641 (1.6729) Prec@1 48.750 (55.152) Prec@5 78.750 (84.019) Epoch: [72][9780/11272] Time 0.723 (0.782) Data 0.002 (0.002) Loss 1.7414 (1.6729) Prec@1 50.000 (55.150) Prec@5 81.875 (84.020) Epoch: [72][9790/11272] Time 0.844 (0.782) Data 0.001 (0.002) Loss 1.6888 (1.6729) Prec@1 54.375 (55.149) Prec@5 85.625 (84.020) Epoch: [72][9800/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.7065 (1.6728) Prec@1 53.125 (55.150) Prec@5 86.250 (84.020) Epoch: [72][9810/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.6567 (1.6729) Prec@1 55.625 (55.149) Prec@5 83.750 (84.018) Epoch: [72][9820/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.9527 (1.6730) Prec@1 53.125 (55.148) Prec@5 80.625 (84.016) Epoch: [72][9830/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.6831 (1.6730) Prec@1 61.875 (55.148) Prec@5 83.750 (84.014) Epoch: [72][9840/11272] Time 0.828 (0.782) Data 0.001 (0.002) Loss 1.6929 (1.6731) Prec@1 56.875 (55.147) Prec@5 78.750 (84.013) Epoch: [72][9850/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.9984 (1.6731) Prec@1 47.500 (55.145) Prec@5 80.000 (84.011) Epoch: [72][9860/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.4076 (1.6731) Prec@1 63.125 (55.148) Prec@5 88.750 (84.013) Epoch: [72][9870/11272] Time 0.859 (0.782) Data 0.002 (0.002) Loss 1.5826 (1.6730) Prec@1 61.875 (55.149) Prec@5 85.000 (84.013) Epoch: [72][9880/11272] Time 0.842 (0.782) Data 0.002 (0.002) Loss 1.4847 (1.6730) Prec@1 59.375 (55.149) Prec@5 85.625 (84.013) Epoch: [72][9890/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.4846 (1.6730) Prec@1 59.375 (55.150) Prec@5 88.125 (84.013) Epoch: [72][9900/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.7317 (1.6731) Prec@1 51.875 (55.149) Prec@5 81.250 (84.012) Epoch: [72][9910/11272] Time 0.852 (0.782) Data 0.002 (0.002) Loss 1.7366 (1.6731) Prec@1 49.375 (55.149) Prec@5 80.625 (84.012) Epoch: [72][9920/11272] Time 0.766 (0.782) Data 0.005 (0.002) Loss 1.7896 (1.6732) Prec@1 55.000 (55.148) Prec@5 84.375 (84.011) Epoch: [72][9930/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.4289 (1.6731) Prec@1 63.125 (55.148) Prec@5 85.000 (84.011) Epoch: [72][9940/11272] Time 0.901 (0.782) Data 0.001 (0.002) Loss 1.5130 (1.6732) Prec@1 60.625 (55.147) Prec@5 86.250 (84.010) Epoch: [72][9950/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.6798 (1.6732) Prec@1 53.750 (55.148) Prec@5 85.625 (84.011) Epoch: [72][9960/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.7657 (1.6733) Prec@1 50.000 (55.146) Prec@5 82.500 (84.009) Epoch: [72][9970/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.7297 (1.6733) Prec@1 52.500 (55.146) Prec@5 86.250 (84.010) Epoch: [72][9980/11272] Time 0.871 (0.782) Data 0.001 (0.002) Loss 1.6994 (1.6733) Prec@1 53.125 (55.144) Prec@5 83.125 (84.008) Epoch: [72][9990/11272] Time 0.858 (0.782) Data 0.002 (0.002) Loss 1.5416 (1.6733) Prec@1 59.375 (55.144) Prec@5 85.000 (84.008) Epoch: [72][10000/11272] Time 0.770 (0.782) Data 0.001 (0.002) Loss 1.7616 (1.6732) Prec@1 51.875 (55.147) Prec@5 86.875 (84.009) Epoch: [72][10010/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.7076 (1.6732) Prec@1 56.875 (55.148) Prec@5 82.500 (84.009) Epoch: [72][10020/11272] Time 0.884 (0.782) Data 0.002 (0.002) Loss 1.8314 (1.6732) Prec@1 51.875 (55.147) Prec@5 83.125 (84.009) Epoch: [72][10030/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.5599 (1.6732) Prec@1 61.250 (55.147) Prec@5 83.750 (84.009) Epoch: [72][10040/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.8279 (1.6732) Prec@1 52.500 (55.145) Prec@5 77.500 (84.009) Epoch: [72][10050/11272] Time 0.869 (0.782) Data 0.002 (0.002) Loss 1.6807 (1.6732) Prec@1 55.625 (55.148) Prec@5 85.000 (84.011) Epoch: [72][10060/11272] Time 0.881 (0.782) Data 0.002 (0.002) Loss 1.5612 (1.6731) Prec@1 56.875 (55.148) Prec@5 81.875 (84.010) Epoch: [72][10070/11272] Time 0.737 (0.782) Data 0.001 (0.002) Loss 1.8323 (1.6732) Prec@1 50.000 (55.149) Prec@5 83.125 (84.010) Epoch: [72][10080/11272] Time 0.721 (0.782) Data 0.001 (0.002) Loss 1.7819 (1.6732) Prec@1 51.875 (55.149) Prec@5 81.250 (84.010) Epoch: [72][10090/11272] Time 0.808 (0.782) Data 0.001 (0.002) Loss 1.6470 (1.6731) Prec@1 59.375 (55.150) Prec@5 81.875 (84.011) Epoch: [72][10100/11272] Time 0.895 (0.782) Data 0.002 (0.002) Loss 1.7882 (1.6731) Prec@1 52.500 (55.149) Prec@5 81.875 (84.010) Epoch: [72][10110/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.5607 (1.6731) Prec@1 61.250 (55.149) Prec@5 83.750 (84.009) Epoch: [72][10120/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.7976 (1.6732) Prec@1 53.125 (55.149) Prec@5 83.750 (84.008) Epoch: [72][10130/11272] Time 0.857 (0.782) Data 0.001 (0.002) Loss 1.8664 (1.6732) Prec@1 50.625 (55.147) Prec@5 80.625 (84.008) Epoch: [72][10140/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.6239 (1.6732) Prec@1 55.000 (55.148) Prec@5 85.000 (84.007) Epoch: [72][10150/11272] Time 0.730 (0.782) Data 0.002 (0.002) Loss 1.5498 (1.6732) Prec@1 57.500 (55.148) Prec@5 85.000 (84.007) Epoch: [72][10160/11272] Time 0.754 (0.782) Data 0.002 (0.002) Loss 1.4239 (1.6732) Prec@1 64.375 (55.148) Prec@5 93.125 (84.008) Epoch: [72][10170/11272] Time 0.818 (0.782) Data 0.001 (0.002) Loss 1.8050 (1.6732) Prec@1 52.500 (55.147) Prec@5 83.750 (84.008) Epoch: [72][10180/11272] Time 0.861 (0.782) Data 0.001 (0.002) Loss 1.7967 (1.6733) Prec@1 53.125 (55.146) Prec@5 85.625 (84.008) Epoch: [72][10190/11272] Time 0.692 (0.782) Data 0.001 (0.002) Loss 1.6535 (1.6732) Prec@1 52.500 (55.146) Prec@5 85.000 (84.008) Epoch: [72][10200/11272] Time 0.860 (0.782) Data 0.002 (0.002) Loss 1.5034 (1.6732) Prec@1 61.250 (55.147) Prec@5 88.750 (84.008) Epoch: [72][10210/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.6615 (1.6733) Prec@1 54.375 (55.145) Prec@5 83.750 (84.007) Epoch: [72][10220/11272] Time 0.752 (0.782) Data 0.002 (0.002) Loss 1.4017 (1.6733) Prec@1 62.500 (55.146) Prec@5 91.875 (84.006) Epoch: [72][10230/11272] Time 0.732 (0.782) Data 0.001 (0.002) Loss 1.6089 (1.6733) Prec@1 58.750 (55.146) Prec@5 88.125 (84.006) Epoch: [72][10240/11272] Time 0.854 (0.782) Data 0.002 (0.002) Loss 1.7133 (1.6733) Prec@1 59.375 (55.146) Prec@5 84.375 (84.005) Epoch: [72][10250/11272] Time 0.839 (0.782) Data 0.002 (0.002) Loss 1.4624 (1.6733) Prec@1 58.125 (55.145) Prec@5 85.000 (84.005) Epoch: [72][10260/11272] Time 0.752 (0.782) Data 0.002 (0.002) Loss 1.5033 (1.6733) Prec@1 57.500 (55.146) Prec@5 87.500 (84.006) Epoch: [72][10270/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.5288 (1.6732) Prec@1 59.375 (55.148) Prec@5 85.625 (84.007) Epoch: [72][10280/11272] Time 0.816 (0.782) Data 0.001 (0.002) Loss 1.7781 (1.6732) Prec@1 53.750 (55.148) Prec@5 82.500 (84.007) Epoch: [72][10290/11272] Time 0.836 (0.782) Data 0.001 (0.002) Loss 1.6094 (1.6732) Prec@1 56.875 (55.146) Prec@5 85.000 (84.007) Epoch: [72][10300/11272] Time 0.798 (0.782) Data 0.001 (0.002) Loss 1.7675 (1.6732) Prec@1 53.750 (55.149) Prec@5 80.000 (84.008) Epoch: [72][10310/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.8657 (1.6732) Prec@1 46.250 (55.149) Prec@5 83.125 (84.008) Epoch: [72][10320/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.5309 (1.6731) Prec@1 59.375 (55.150) Prec@5 86.250 (84.008) Epoch: [72][10330/11272] Time 0.771 (0.782) Data 0.001 (0.002) Loss 1.4308 (1.6730) Prec@1 63.125 (55.152) Prec@5 88.125 (84.010) Epoch: [72][10340/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.6185 (1.6730) Prec@1 55.000 (55.151) Prec@5 83.750 (84.011) Epoch: [72][10350/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.5575 (1.6730) Prec@1 60.625 (55.149) Prec@5 85.625 (84.011) Epoch: [72][10360/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.6275 (1.6730) Prec@1 58.125 (55.151) Prec@5 83.750 (84.011) Epoch: [72][10370/11272] Time 0.744 (0.782) Data 0.002 (0.002) Loss 1.6350 (1.6730) Prec@1 56.875 (55.153) Prec@5 82.500 (84.011) Epoch: [72][10380/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.4269 (1.6730) Prec@1 61.250 (55.152) Prec@5 88.125 (84.012) Epoch: [72][10390/11272] Time 0.878 (0.782) Data 0.002 (0.002) Loss 1.7915 (1.6730) Prec@1 50.625 (55.153) Prec@5 82.500 (84.011) Epoch: [72][10400/11272] Time 0.880 (0.782) Data 0.002 (0.002) Loss 1.5464 (1.6730) Prec@1 58.750 (55.153) Prec@5 87.500 (84.012) Epoch: [72][10410/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.7435 (1.6730) Prec@1 54.375 (55.154) Prec@5 80.625 (84.010) Epoch: [72][10420/11272] Time 0.738 (0.782) Data 0.001 (0.002) Loss 1.7736 (1.6730) Prec@1 55.000 (55.156) Prec@5 80.000 (84.010) Epoch: [72][10430/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.5666 (1.6731) Prec@1 61.875 (55.154) Prec@5 87.500 (84.008) Epoch: [72][10440/11272] Time 0.794 (0.782) Data 0.001 (0.002) Loss 1.6282 (1.6731) Prec@1 53.125 (55.153) Prec@5 84.375 (84.008) Epoch: [72][10450/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.7724 (1.6731) Prec@1 50.625 (55.154) Prec@5 82.500 (84.008) Epoch: [72][10460/11272] Time 0.789 (0.782) Data 0.001 (0.002) Loss 1.5847 (1.6731) Prec@1 58.750 (55.155) Prec@5 84.375 (84.007) Epoch: [72][10470/11272] Time 0.825 (0.782) Data 0.002 (0.002) Loss 1.7189 (1.6731) Prec@1 53.750 (55.156) Prec@5 83.125 (84.009) Epoch: [72][10480/11272] Time 0.763 (0.782) Data 0.002 (0.002) Loss 1.8892 (1.6731) Prec@1 48.750 (55.156) Prec@5 83.125 (84.009) Epoch: [72][10490/11272] Time 0.720 (0.782) Data 0.002 (0.002) Loss 1.3904 (1.6731) Prec@1 60.000 (55.155) Prec@5 89.375 (84.009) Epoch: [72][10500/11272] Time 0.836 (0.782) Data 0.001 (0.002) Loss 1.6342 (1.6731) Prec@1 54.375 (55.154) Prec@5 83.750 (84.009) Epoch: [72][10510/11272] Time 0.885 (0.782) Data 0.002 (0.002) Loss 1.6488 (1.6732) Prec@1 56.875 (55.153) Prec@5 83.125 (84.008) Epoch: [72][10520/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.6392 (1.6732) Prec@1 56.875 (55.153) Prec@5 82.500 (84.006) Epoch: [72][10530/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.9983 (1.6733) Prec@1 49.375 (55.152) Prec@5 76.875 (84.004) Epoch: [72][10540/11272] Time 0.846 (0.782) Data 0.001 (0.002) Loss 1.7322 (1.6733) Prec@1 55.625 (55.152) Prec@5 82.500 (84.004) Epoch: [72][10550/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.5840 (1.6733) Prec@1 56.250 (55.152) Prec@5 86.875 (84.004) Epoch: [72][10560/11272] Time 0.725 (0.782) Data 0.001 (0.002) Loss 1.8729 (1.6733) Prec@1 50.000 (55.153) Prec@5 78.125 (84.004) Epoch: [72][10570/11272] Time 0.710 (0.782) Data 0.001 (0.002) Loss 1.9222 (1.6733) Prec@1 50.625 (55.154) Prec@5 81.875 (84.004) Epoch: [72][10580/11272] Time 0.859 (0.782) Data 0.002 (0.002) Loss 1.4646 (1.6733) Prec@1 56.250 (55.154) Prec@5 86.875 (84.004) Epoch: [72][10590/11272] Time 0.729 (0.782) Data 0.003 (0.002) Loss 1.5586 (1.6732) Prec@1 59.375 (55.156) Prec@5 87.500 (84.004) Epoch: [72][10600/11272] Time 0.725 (0.782) Data 0.002 (0.002) Loss 1.7838 (1.6732) Prec@1 52.500 (55.156) Prec@5 81.250 (84.005) Epoch: [72][10610/11272] Time 0.829 (0.782) Data 0.001 (0.002) Loss 1.5882 (1.6732) Prec@1 54.375 (55.156) Prec@5 86.250 (84.005) Epoch: [72][10620/11272] Time 0.879 (0.782) Data 0.002 (0.002) Loss 1.7581 (1.6731) Prec@1 53.750 (55.156) Prec@5 82.500 (84.005) Epoch: [72][10630/11272] Time 0.737 (0.782) Data 0.001 (0.002) Loss 1.8047 (1.6732) Prec@1 54.375 (55.154) Prec@5 78.125 (84.003) Epoch: [72][10640/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.8868 (1.6732) Prec@1 49.375 (55.153) Prec@5 81.875 (84.003) Epoch: [72][10650/11272] Time 0.844 (0.782) Data 0.002 (0.002) Loss 1.8150 (1.6732) Prec@1 51.875 (55.155) Prec@5 83.750 (84.004) Epoch: [72][10660/11272] Time 0.862 (0.782) Data 0.001 (0.002) Loss 1.6170 (1.6732) Prec@1 55.625 (55.156) Prec@5 83.750 (84.003) Epoch: [72][10670/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.5254 (1.6731) Prec@1 56.875 (55.157) Prec@5 86.875 (84.003) Epoch: [72][10680/11272] Time 0.732 (0.782) Data 0.001 (0.002) Loss 1.7838 (1.6731) Prec@1 51.875 (55.157) Prec@5 81.875 (84.003) Epoch: [72][10690/11272] Time 0.839 (0.782) Data 0.002 (0.002) Loss 1.8011 (1.6732) Prec@1 51.875 (55.155) Prec@5 81.250 (84.002) Epoch: [72][10700/11272] Time 0.795 (0.782) Data 0.001 (0.002) Loss 1.8073 (1.6732) Prec@1 53.125 (55.156) Prec@5 85.000 (84.002) Epoch: [72][10710/11272] Time 0.727 (0.782) Data 0.002 (0.002) Loss 1.8023 (1.6731) Prec@1 50.625 (55.158) Prec@5 80.625 (84.004) Epoch: [72][10720/11272] Time 0.794 (0.782) Data 0.001 (0.002) Loss 1.7427 (1.6731) Prec@1 53.750 (55.159) Prec@5 83.750 (84.005) Epoch: [72][10730/11272] Time 0.818 (0.782) Data 0.001 (0.002) Loss 1.5787 (1.6731) Prec@1 55.625 (55.160) Prec@5 86.250 (84.005) Epoch: [72][10740/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.6707 (1.6731) Prec@1 59.375 (55.162) Prec@5 85.625 (84.004) Epoch: [72][10750/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.7460 (1.6730) Prec@1 53.750 (55.164) Prec@5 83.125 (84.005) Epoch: [72][10760/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.6475 (1.6730) Prec@1 53.750 (55.164) Prec@5 82.500 (84.006) Epoch: [72][10770/11272] Time 0.815 (0.782) Data 0.001 (0.002) Loss 1.8511 (1.6730) Prec@1 52.500 (55.163) Prec@5 79.375 (84.004) Epoch: [72][10780/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.6630 (1.6730) Prec@1 51.875 (55.163) Prec@5 83.750 (84.004) Epoch: [72][10790/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.9428 (1.6731) Prec@1 48.125 (55.161) Prec@5 80.625 (84.004) Epoch: [72][10800/11272] Time 0.862 (0.782) Data 0.002 (0.002) Loss 1.4953 (1.6730) Prec@1 58.750 (55.161) Prec@5 86.875 (84.004) Epoch: [72][10810/11272] Time 0.863 (0.782) Data 0.002 (0.002) Loss 1.8833 (1.6730) Prec@1 50.000 (55.161) Prec@5 77.500 (84.004) Epoch: [72][10820/11272] Time 0.740 (0.782) Data 0.001 (0.002) Loss 1.5910 (1.6730) Prec@1 55.625 (55.160) Prec@5 88.750 (84.005) Epoch: [72][10830/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.6039 (1.6730) Prec@1 53.125 (55.159) Prec@5 83.750 (84.004) Epoch: [72][10840/11272] Time 0.816 (0.782) Data 0.001 (0.002) Loss 1.7002 (1.6731) Prec@1 57.500 (55.159) Prec@5 81.875 (84.004) Epoch: [72][10850/11272] Time 0.722 (0.782) Data 0.003 (0.002) Loss 1.4235 (1.6730) Prec@1 58.750 (55.159) Prec@5 89.375 (84.005) Epoch: [72][10860/11272] Time 0.754 (0.782) Data 0.001 (0.002) Loss 1.5716 (1.6730) Prec@1 53.125 (55.159) Prec@5 86.875 (84.004) Epoch: [72][10870/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.8422 (1.6730) Prec@1 50.625 (55.160) Prec@5 80.625 (84.003) Epoch: [72][10880/11272] Time 0.833 (0.782) Data 0.002 (0.002) Loss 1.9303 (1.6731) Prec@1 48.750 (55.157) Prec@5 81.250 (84.002) Epoch: [72][10890/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.7787 (1.6732) Prec@1 53.750 (55.155) Prec@5 81.875 (84.002) Epoch: [72][10900/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.4330 (1.6732) Prec@1 60.625 (55.154) Prec@5 87.500 (84.002) Epoch: [72][10910/11272] Time 0.821 (0.782) Data 0.001 (0.002) Loss 1.6440 (1.6732) Prec@1 58.125 (55.154) Prec@5 83.750 (84.002) Epoch: [72][10920/11272] Time 0.828 (0.782) Data 0.001 (0.002) Loss 1.7525 (1.6732) Prec@1 55.000 (55.154) Prec@5 83.125 (84.002) Epoch: [72][10930/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.6380 (1.6732) Prec@1 59.375 (55.154) Prec@5 87.500 (84.003) Epoch: [72][10940/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.6342 (1.6732) Prec@1 52.500 (55.154) Prec@5 85.000 (84.002) Epoch: [72][10950/11272] Time 0.823 (0.782) Data 0.001 (0.002) Loss 1.8911 (1.6732) Prec@1 41.875 (55.153) Prec@5 83.125 (84.002) Epoch: [72][10960/11272] Time 0.899 (0.782) Data 0.002 (0.002) Loss 1.6395 (1.6733) Prec@1 57.500 (55.151) Prec@5 85.625 (84.002) Epoch: [72][10970/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.6299 (1.6733) Prec@1 55.625 (55.151) Prec@5 83.750 (84.001) Epoch: [72][10980/11272] Time 0.796 (0.782) Data 0.001 (0.002) Loss 1.5541 (1.6732) Prec@1 60.000 (55.153) Prec@5 85.000 (84.002) Epoch: [72][10990/11272] Time 0.850 (0.782) Data 0.001 (0.002) Loss 1.7236 (1.6732) Prec@1 47.500 (55.153) Prec@5 85.625 (84.003) Epoch: [72][11000/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.5168 (1.6733) Prec@1 56.875 (55.152) Prec@5 87.500 (84.001) Epoch: [72][11010/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.4733 (1.6733) Prec@1 56.250 (55.151) Prec@5 88.750 (84.002) Epoch: [72][11020/11272] Time 0.825 (0.782) Data 0.001 (0.002) Loss 1.5780 (1.6733) Prec@1 56.250 (55.150) Prec@5 82.500 (83.999) Epoch: [72][11030/11272] Time 0.824 (0.782) Data 0.001 (0.002) Loss 1.3616 (1.6733) Prec@1 67.500 (55.151) Prec@5 88.750 (83.999) Epoch: [72][11040/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.5884 (1.6733) Prec@1 54.375 (55.151) Prec@5 85.625 (83.999) Epoch: [72][11050/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.5996 (1.6733) Prec@1 55.000 (55.151) Prec@5 86.875 (83.999) Epoch: [72][11060/11272] Time 0.827 (0.782) Data 0.002 (0.002) Loss 1.7691 (1.6733) Prec@1 54.375 (55.152) Prec@5 80.000 (83.999) Epoch: [72][11070/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.4555 (1.6733) Prec@1 61.875 (55.153) Prec@5 87.500 (83.999) Epoch: [72][11080/11272] Time 0.730 (0.782) Data 0.002 (0.002) Loss 1.8239 (1.6734) Prec@1 51.875 (55.151) Prec@5 82.500 (83.999) Epoch: [72][11090/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.7953 (1.6734) Prec@1 55.000 (55.151) Prec@5 81.875 (83.999) Epoch: [72][11100/11272] Time 0.855 (0.782) Data 0.002 (0.002) Loss 1.6458 (1.6735) Prec@1 57.500 (55.150) Prec@5 85.625 (83.999) Epoch: [72][11110/11272] Time 0.816 (0.782) Data 0.002 (0.002) Loss 1.5092 (1.6734) Prec@1 58.750 (55.151) Prec@5 85.000 (83.998) Epoch: [72][11120/11272] Time 0.711 (0.782) Data 0.001 (0.002) Loss 1.5332 (1.6734) Prec@1 59.375 (55.151) Prec@5 86.250 (83.999) Epoch: [72][11130/11272] Time 0.821 (0.782) Data 0.001 (0.002) Loss 1.5988 (1.6734) Prec@1 52.500 (55.151) Prec@5 85.625 (83.999) Epoch: [72][11140/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.5149 (1.6735) Prec@1 54.375 (55.151) Prec@5 90.000 (83.998) Epoch: [72][11150/11272] Time 0.739 (0.782) Data 0.002 (0.002) Loss 1.9142 (1.6736) Prec@1 45.625 (55.148) Prec@5 83.750 (83.998) Epoch: [72][11160/11272] Time 0.758 (0.782) Data 0.002 (0.002) Loss 1.6017 (1.6736) Prec@1 53.750 (55.147) Prec@5 85.000 (83.998) Epoch: [72][11170/11272] Time 0.889 (0.782) Data 0.001 (0.002) Loss 1.7893 (1.6737) Prec@1 53.750 (55.145) Prec@5 81.250 (83.997) Epoch: [72][11180/11272] Time 0.869 (0.782) Data 0.002 (0.002) Loss 1.6418 (1.6737) Prec@1 56.250 (55.143) Prec@5 85.000 (83.996) Epoch: [72][11190/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.8069 (1.6738) Prec@1 49.375 (55.141) Prec@5 81.250 (83.995) Epoch: [72][11200/11272] Time 0.725 (0.782) Data 0.002 (0.002) Loss 1.7412 (1.6739) Prec@1 56.875 (55.139) Prec@5 80.000 (83.994) Epoch: [72][11210/11272] Time 0.841 (0.782) Data 0.002 (0.002) Loss 1.9278 (1.6739) Prec@1 49.375 (55.138) Prec@5 77.500 (83.994) Epoch: [72][11220/11272] Time 0.904 (0.782) Data 0.002 (0.002) Loss 1.5356 (1.6739) Prec@1 54.375 (55.136) Prec@5 87.500 (83.993) Epoch: [72][11230/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.6699 (1.6739) Prec@1 58.125 (55.137) Prec@5 83.125 (83.994) Epoch: [72][11240/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.7676 (1.6739) Prec@1 54.375 (55.137) Prec@5 81.875 (83.994) Epoch: [72][11250/11272] Time 0.835 (0.782) Data 0.002 (0.002) Loss 1.7108 (1.6739) Prec@1 50.000 (55.136) Prec@5 85.000 (83.995) Epoch: [72][11260/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.4993 (1.6739) Prec@1 60.625 (55.137) Prec@5 88.750 (83.996) Epoch: [72][11270/11272] Time 0.716 (0.782) Data 0.000 (0.002) Loss 1.6166 (1.6739) Prec@1 57.500 (55.137) Prec@5 85.625 (83.995) Test: [0/229] Time 2.930 (2.930) Loss 1.1344 (1.1344) Prec@1 66.250 (66.250) Prec@5 95.625 (95.625) Test: [10/229] Time 0.389 (0.705) Loss 0.9886 (1.5676) Prec@1 68.125 (58.920) Prec@5 97.500 (87.614) Test: [20/229] Time 1.009 (0.640) Loss 1.8255 (1.6395) Prec@1 51.250 (55.804) Prec@5 84.375 (86.875) Test: [30/229] Time 0.338 (0.595) Loss 1.8356 (1.5709) Prec@1 46.875 (58.065) Prec@5 88.125 (87.460) Test: [40/229] Time 0.973 (0.590) Loss 0.3805 (1.5654) Prec@1 92.500 (58.003) Prec@5 96.250 (87.332) Test: [50/229] Time 0.335 (0.572) Loss 2.1391 (1.6227) Prec@1 40.000 (56.838) Prec@5 83.750 (86.078) Test: [60/229] Time 1.050 (0.570) Loss 1.9951 (1.6142) Prec@1 41.875 (56.783) Prec@5 85.625 (86.270) Test: [70/229] Time 0.295 (0.558) Loss 1.3187 (1.6283) Prec@1 71.875 (56.514) Prec@5 85.000 (86.118) Test: [80/229] Time 1.212 (0.561) Loss 1.9817 (1.6471) Prec@1 43.125 (55.625) Prec@5 86.250 (86.065) Test: [90/229] Time 0.402 (0.555) Loss 1.2042 (1.6572) Prec@1 72.500 (55.433) Prec@5 86.250 (85.996) Test: [100/229] Time 0.863 (0.555) Loss 2.0051 (1.6521) Prec@1 51.875 (55.656) Prec@5 85.000 (86.046) Test: [110/229] Time 0.409 (0.550) Loss 1.3446 (1.6305) Prec@1 63.125 (56.030) Prec@5 88.125 (86.222) Test: [120/229] Time 0.923 (0.550) Loss 2.6475 (1.6495) Prec@1 36.250 (55.511) Prec@5 77.500 (85.950) Test: [130/229] Time 0.409 (0.549) Loss 1.1458 (1.6332) Prec@1 64.375 (55.887) Prec@5 93.125 (86.107) Test: [140/229] Time 0.914 (0.549) Loss 1.7308 (1.6480) Prec@1 57.500 (55.527) Prec@5 85.625 (85.918) Test: [150/229] Time 0.348 (0.545) Loss 1.1720 (1.6611) Prec@1 71.875 (55.174) Prec@5 88.125 (85.799) Test: [160/229] Time 0.983 (0.548) Loss 1.7873 (1.6649) Prec@1 58.125 (55.004) Prec@5 83.750 (85.738) Test: [170/229] Time 0.358 (0.544) Loss 1.8002 (1.6778) Prec@1 50.625 (54.580) Prec@5 86.875 (85.596) Test: [180/229] Time 1.068 (0.545) Loss 2.2928 (1.6851) Prec@1 38.750 (54.523) Prec@5 74.375 (85.397) Test: [190/229] Time 0.307 (0.542) Loss 1.3264 (1.6727) Prec@1 61.875 (54.853) Prec@5 94.375 (85.550) Test: [200/229] Time 0.621 (0.542) Loss 1.6389 (1.6632) Prec@1 53.125 (54.956) Prec@5 82.500 (85.731) Test: [210/229] Time 0.635 (0.541) Loss 1.0859 (1.6541) Prec@1 65.000 (55.204) Prec@5 93.750 (85.823) Test: [220/229] Time 0.318 (0.540) Loss 1.5548 (1.6446) Prec@1 57.500 (55.535) Prec@5 88.750 (85.877) * Prec@1 55.770 Prec@5 85.914 Epoch: [73][0/11272] Time 4.313 (4.313) Data 3.498 (3.498) Loss 1.7932 (1.7932) Prec@1 48.125 (48.125) Prec@5 81.875 (81.875) Epoch: [73][10/11272] Time 0.741 (1.091) Data 0.001 (0.319) Loss 1.5191 (1.6513) Prec@1 62.500 (54.205) Prec@5 88.125 (85.170) Epoch: [73][20/11272] Time 0.829 (0.945) Data 0.002 (0.168) Loss 1.5227 (1.6294) Prec@1 58.125 (54.911) Prec@5 86.250 (85.030) Epoch: [73][30/11272] Time 0.837 (0.891) Data 0.001 (0.114) Loss 1.9496 (1.6383) Prec@1 52.500 (54.738) Prec@5 78.750 (85.101) Epoch: [73][40/11272] Time 0.724 (0.863) Data 0.001 (0.087) Loss 1.6940 (1.6436) Prec@1 50.000 (54.619) Prec@5 90.000 (85.229) Epoch: [73][50/11272] Time 0.727 (0.846) Data 0.001 (0.070) Loss 1.8076 (1.6532) Prec@1 53.125 (54.926) Prec@5 82.500 (84.877) Epoch: [73][60/11272] Time 0.832 (0.835) Data 0.001 (0.059) Loss 1.8086 (1.6558) Prec@1 56.250 (55.041) Prec@5 78.750 (84.641) Epoch: [73][70/11272] Time 0.747 (0.826) Data 0.003 (0.051) Loss 1.7739 (1.6629) Prec@1 51.875 (54.930) Prec@5 80.000 (84.445) Epoch: [73][80/11272] Time 0.726 (0.820) Data 0.002 (0.045) Loss 1.6046 (1.6690) Prec@1 56.250 (54.869) Prec@5 85.625 (84.298) Epoch: [73][90/11272] Time 0.831 (0.817) Data 0.001 (0.040) Loss 1.5949 (1.6701) Prec@1 56.250 (54.966) Prec@5 83.125 (84.148) Epoch: [73][100/11272] Time 0.819 (0.813) Data 0.001 (0.036) Loss 1.7708 (1.6763) Prec@1 48.750 (54.796) Prec@5 83.125 (84.103) Epoch: [73][110/11272] Time 0.738 (0.810) Data 0.001 (0.033) Loss 1.6865 (1.6789) Prec@1 51.250 (54.803) Prec@5 83.750 (83.998) Epoch: [73][120/11272] Time 0.712 (0.807) Data 0.001 (0.030) Loss 1.7996 (1.6812) Prec@1 54.375 (54.840) Prec@5 80.625 (83.895) Epoch: [73][130/11272] Time 0.828 (0.805) Data 0.002 (0.028) Loss 1.6962 (1.6799) Prec@1 54.375 (54.833) Prec@5 83.750 (83.960) Epoch: [73][140/11272] Time 0.829 (0.804) Data 0.002 (0.026) Loss 1.6461 (1.6758) Prec@1 52.500 (54.889) Prec@5 85.625 (84.109) Epoch: [73][150/11272] Time 0.711 (0.802) Data 0.001 (0.025) Loss 1.7828 (1.6760) Prec@1 51.875 (54.814) Prec@5 85.000 (84.131) Epoch: [73][160/11272] Time 0.722 (0.801) Data 0.001 (0.023) Loss 1.7476 (1.6755) Prec@1 52.500 (54.775) Prec@5 83.750 (84.161) Epoch: [73][170/11272] Time 0.832 (0.800) Data 0.002 (0.022) Loss 1.2888 (1.6695) Prec@1 65.000 (54.985) Prec@5 88.750 (84.185) Epoch: [73][180/11272] Time 0.867 (0.800) Data 0.002 (0.021) Loss 1.7030 (1.6671) Prec@1 49.375 (55.076) Prec@5 83.125 (84.216) Epoch: [73][190/11272] Time 0.716 (0.799) Data 0.002 (0.020) Loss 1.6757 (1.6669) Prec@1 55.625 (55.124) Prec@5 84.375 (84.188) Epoch: [73][200/11272] Time 0.807 (0.798) Data 0.002 (0.019) Loss 1.6796 (1.6676) Prec@1 53.750 (55.093) Prec@5 83.750 (84.151) Epoch: [73][210/11272] Time 0.855 (0.798) Data 0.002 (0.018) Loss 1.6019 (1.6669) Prec@1 55.625 (55.127) Prec@5 85.000 (84.182) Epoch: [73][220/11272] Time 0.733 (0.797) Data 0.001 (0.017) Loss 1.4377 (1.6667) Prec@1 65.000 (55.139) Prec@5 88.750 (84.194) Epoch: [73][230/11272] Time 0.709 (0.796) Data 0.001 (0.017) Loss 1.5385 (1.6666) Prec@1 58.750 (55.084) Prec@5 84.375 (84.207) Epoch: [73][240/11272] Time 0.828 (0.796) Data 0.002 (0.016) Loss 1.5653 (1.6681) Prec@1 55.625 (55.041) Prec@5 85.000 (84.152) Epoch: [73][250/11272] Time 0.811 (0.795) Data 0.002 (0.015) Loss 1.9697 (1.6695) Prec@1 46.875 (54.953) Prec@5 83.750 (84.178) Epoch: [73][260/11272] Time 0.738 (0.794) Data 0.001 (0.015) Loss 1.8894 (1.6688) Prec@1 54.375 (54.966) Prec@5 78.750 (84.176) Epoch: [73][270/11272] Time 0.760 (0.794) Data 0.002 (0.014) Loss 1.5580 (1.6668) Prec@1 62.500 (55.000) Prec@5 85.000 (84.190) Epoch: [73][280/11272] Time 0.806 (0.794) Data 0.001 (0.014) Loss 1.5955 (1.6697) Prec@1 58.125 (54.984) Prec@5 86.250 (84.133) Epoch: [73][290/11272] Time 0.833 (0.793) Data 0.002 (0.014) Loss 2.0148 (1.6710) Prec@1 43.750 (54.931) Prec@5 75.000 (84.102) Epoch: [73][300/11272] Time 0.729 (0.793) Data 0.001 (0.013) Loss 1.5303 (1.6688) Prec@1 59.375 (54.944) Prec@5 86.250 (84.147) Epoch: [73][310/11272] Time 0.725 (0.793) Data 0.001 (0.013) Loss 1.5630 (1.6702) Prec@1 61.875 (55.000) Prec@5 85.625 (84.116) Epoch: [73][320/11272] Time 0.839 (0.792) Data 0.002 (0.012) Loss 1.7311 (1.6681) Prec@1 55.625 (55.037) Prec@5 82.500 (84.161) Epoch: [73][330/11272] Time 0.735 (0.792) Data 0.003 (0.012) Loss 1.4395 (1.6643) Prec@1 64.375 (55.142) Prec@5 88.750 (84.228) Epoch: [73][340/11272] Time 0.738 (0.792) Data 0.001 (0.012) Loss 1.7671 (1.6616) Prec@1 50.000 (55.200) Prec@5 82.500 (84.263) Epoch: [73][350/11272] Time 0.823 (0.792) Data 0.001 (0.011) Loss 1.5732 (1.6592) Prec@1 53.750 (55.276) Prec@5 90.000 (84.329) Epoch: [73][360/11272] Time 0.846 (0.791) Data 0.002 (0.011) Loss 1.6020 (1.6612) Prec@1 56.875 (55.227) Prec@5 85.000 (84.290) Epoch: [73][370/11272] Time 0.744 (0.791) Data 0.002 (0.011) Loss 1.7016 (1.6612) Prec@1 56.250 (55.251) Prec@5 83.125 (84.274) Epoch: [73][380/11272] Time 0.707 (0.791) Data 0.001 (0.011) Loss 1.6287 (1.6617) Prec@1 55.000 (55.217) Prec@5 86.250 (84.257) Epoch: [73][390/11272] Time 0.896 (0.791) Data 0.002 (0.010) Loss 1.4470 (1.6605) Prec@1 54.375 (55.277) Prec@5 88.750 (84.290) Epoch: [73][400/11272] Time 0.854 (0.791) Data 0.002 (0.010) Loss 1.6380 (1.6598) Prec@1 55.625 (55.291) Prec@5 84.375 (84.313) Epoch: [73][410/11272] Time 0.730 (0.791) Data 0.001 (0.010) Loss 1.4646 (1.6592) Prec@1 61.875 (55.289) Prec@5 86.875 (84.323) Epoch: [73][420/11272] Time 0.717 (0.791) Data 0.001 (0.010) Loss 1.4236 (1.6585) Prec@1 58.125 (55.300) Prec@5 91.875 (84.336) Epoch: [73][430/11272] Time 0.868 (0.791) Data 0.002 (0.010) Loss 1.7026 (1.6570) Prec@1 56.250 (55.315) Prec@5 81.875 (84.337) Epoch: [73][440/11272] Time 0.830 (0.790) Data 0.002 (0.009) Loss 1.9094 (1.6575) Prec@1 55.000 (55.325) Prec@5 81.875 (84.330) Epoch: [73][450/11272] Time 0.711 (0.790) Data 0.001 (0.009) Loss 1.7496 (1.6577) Prec@1 47.500 (55.334) Prec@5 80.625 (84.320) Epoch: [73][460/11272] Time 0.883 (0.790) Data 0.002 (0.009) Loss 1.7359 (1.6569) Prec@1 51.875 (55.384) Prec@5 81.875 (84.321) Epoch: [73][470/11272] Time 0.801 (0.790) Data 0.001 (0.009) Loss 1.8156 (1.6575) Prec@1 55.625 (55.405) Prec@5 81.250 (84.273) Epoch: [73][480/11272] Time 0.710 (0.789) Data 0.002 (0.009) Loss 1.4546 (1.6566) Prec@1 60.625 (55.407) Prec@5 88.750 (84.294) Epoch: [73][490/11272] Time 0.710 (0.789) Data 0.001 (0.009) Loss 1.6876 (1.6580) Prec@1 59.375 (55.390) Prec@5 84.375 (84.267) Epoch: [73][500/11272] Time 0.823 (0.789) Data 0.001 (0.008) Loss 1.4763 (1.6569) Prec@1 56.250 (55.418) Prec@5 87.500 (84.275) Epoch: [73][510/11272] Time 0.865 (0.789) Data 0.002 (0.008) Loss 1.7431 (1.6574) Prec@1 56.250 (55.398) Prec@5 81.250 (84.258) Epoch: [73][520/11272] Time 0.727 (0.789) Data 0.001 (0.008) Loss 1.5975 (1.6557) Prec@1 58.750 (55.441) Prec@5 83.125 (84.280) Epoch: [73][530/11272] Time 0.725 (0.789) Data 0.001 (0.008) Loss 1.5605 (1.6553) Prec@1 54.375 (55.441) Prec@5 88.750 (84.283) Epoch: [73][540/11272] Time 0.835 (0.789) Data 0.001 (0.008) Loss 1.8528 (1.6559) Prec@1 50.000 (55.397) Prec@5 83.750 (84.290) Epoch: [73][550/11272] Time 0.846 (0.789) Data 0.002 (0.008) Loss 1.6261 (1.6550) Prec@1 56.875 (55.421) Prec@5 86.875 (84.294) Epoch: [73][560/11272] Time 0.741 (0.789) Data 0.002 (0.008) Loss 1.5734 (1.6555) Prec@1 55.625 (55.411) Prec@5 85.625 (84.286) Epoch: [73][570/11272] Time 0.742 (0.788) Data 0.003 (0.008) Loss 1.6809 (1.6545) Prec@1 56.875 (55.409) Prec@5 78.125 (84.298) Epoch: [73][580/11272] Time 0.859 (0.789) Data 0.002 (0.008) Loss 1.2342 (1.6528) Prec@1 69.375 (55.461) Prec@5 88.125 (84.321) Epoch: [73][590/11272] Time 0.828 (0.789) Data 0.002 (0.007) Loss 1.6156 (1.6527) Prec@1 58.125 (55.462) Prec@5 81.250 (84.303) Epoch: [73][600/11272] Time 0.742 (0.788) Data 0.002 (0.007) Loss 1.5168 (1.6517) Prec@1 60.000 (55.491) Prec@5 83.750 (84.322) Epoch: [73][610/11272] Time 0.819 (0.788) Data 0.002 (0.007) Loss 1.4037 (1.6510) Prec@1 60.625 (55.506) Prec@5 90.625 (84.347) Epoch: [73][620/11272] Time 0.836 (0.788) Data 0.002 (0.007) Loss 1.7508 (1.6501) Prec@1 53.125 (55.521) Prec@5 82.500 (84.367) Epoch: [73][630/11272] Time 0.733 (0.788) Data 0.001 (0.007) Loss 1.5241 (1.6505) Prec@1 60.000 (55.512) Prec@5 85.625 (84.363) Epoch: [73][640/11272] Time 0.742 (0.788) Data 0.002 (0.007) Loss 1.7008 (1.6505) Prec@1 53.125 (55.500) Prec@5 83.125 (84.373) Epoch: [73][650/11272] Time 0.870 (0.788) Data 0.002 (0.007) Loss 1.7300 (1.6505) Prec@1 55.000 (55.500) Prec@5 79.375 (84.354) Epoch: [73][660/11272] Time 0.845 (0.788) Data 0.002 (0.007) Loss 1.7188 (1.6488) Prec@1 56.250 (55.540) Prec@5 81.875 (84.375) Epoch: [73][670/11272] Time 0.721 (0.788) Data 0.002 (0.007) Loss 1.2808 (1.6492) Prec@1 65.000 (55.536) Prec@5 89.375 (84.355) Epoch: [73][680/11272] Time 0.723 (0.788) Data 0.001 (0.007) Loss 1.7713 (1.6490) Prec@1 51.875 (55.538) Prec@5 82.500 (84.362) Epoch: [73][690/11272] Time 0.820 (0.788) Data 0.002 (0.007) Loss 1.5466 (1.6500) Prec@1 56.250 (55.530) Prec@5 86.875 (84.345) Epoch: [73][700/11272] Time 0.845 (0.788) Data 0.002 (0.007) Loss 1.7176 (1.6506) Prec@1 51.250 (55.515) Prec@5 81.250 (84.337) Epoch: [73][710/11272] Time 0.733 (0.788) Data 0.001 (0.006) Loss 1.6943 (1.6496) Prec@1 57.500 (55.542) Prec@5 82.500 (84.362) Epoch: [73][720/11272] Time 0.706 (0.788) Data 0.001 (0.006) Loss 1.8984 (1.6497) Prec@1 49.375 (55.552) Prec@5 79.375 (84.359) Epoch: [73][730/11272] Time 0.836 (0.788) Data 0.001 (0.006) Loss 1.5828 (1.6494) Prec@1 58.750 (55.563) Prec@5 85.000 (84.375) Epoch: [73][740/11272] Time 0.714 (0.787) Data 0.001 (0.006) Loss 1.6297 (1.6490) Prec@1 51.875 (55.571) Prec@5 80.625 (84.388) Epoch: [73][750/11272] Time 0.700 (0.787) Data 0.001 (0.006) Loss 1.6047 (1.6492) Prec@1 57.500 (55.578) Prec@5 85.625 (84.395) Epoch: [73][760/11272] Time 0.842 (0.787) Data 0.001 (0.006) Loss 1.8342 (1.6492) Prec@1 53.750 (55.607) Prec@5 83.125 (84.388) Epoch: [73][770/11272] Time 0.839 (0.787) Data 0.002 (0.006) Loss 1.6663 (1.6503) Prec@1 56.250 (55.580) Prec@5 83.750 (84.364) Epoch: [73][780/11272] Time 0.768 (0.787) Data 0.002 (0.006) Loss 1.6926 (1.6503) Prec@1 52.500 (55.583) Prec@5 82.500 (84.369) Epoch: [73][790/11272] Time 0.713 (0.787) Data 0.001 (0.006) Loss 1.4385 (1.6494) Prec@1 58.750 (55.612) Prec@5 86.250 (84.379) Epoch: [73][800/11272] Time 0.861 (0.787) Data 0.002 (0.006) Loss 1.5330 (1.6495) Prec@1 55.625 (55.598) Prec@5 89.375 (84.374) Epoch: [73][810/11272] Time 0.814 (0.787) Data 0.001 (0.006) Loss 1.7912 (1.6491) Prec@1 53.750 (55.600) Prec@5 81.250 (84.374) Epoch: [73][820/11272] Time 0.716 (0.787) Data 0.001 (0.006) Loss 1.7111 (1.6490) Prec@1 51.875 (55.611) Prec@5 83.125 (84.382) Epoch: [73][830/11272] Time 0.714 (0.787) Data 0.001 (0.006) Loss 1.6711 (1.6490) Prec@1 56.875 (55.614) Prec@5 83.125 (84.372) Epoch: [73][840/11272] Time 0.810 (0.787) Data 0.001 (0.006) Loss 1.6633 (1.6485) Prec@1 56.875 (55.631) Prec@5 83.750 (84.386) Epoch: [73][850/11272] Time 0.837 (0.787) Data 0.002 (0.006) Loss 1.7728 (1.6490) Prec@1 55.625 (55.617) Prec@5 82.500 (84.385) Epoch: [73][860/11272] Time 0.719 (0.787) Data 0.001 (0.006) Loss 1.6769 (1.6491) Prec@1 50.625 (55.597) Prec@5 81.875 (84.387) Epoch: [73][870/11272] Time 0.857 (0.787) Data 0.001 (0.006) Loss 1.6476 (1.6486) Prec@1 52.500 (55.619) Prec@5 82.500 (84.389) Epoch: [73][880/11272] Time 0.862 (0.787) Data 0.001 (0.005) Loss 1.9254 (1.6481) Prec@1 50.625 (55.641) Prec@5 78.750 (84.396) Epoch: [73][890/11272] Time 0.717 (0.787) Data 0.001 (0.005) Loss 1.9231 (1.6481) Prec@1 49.375 (55.642) Prec@5 81.250 (84.399) Epoch: [73][900/11272] Time 0.721 (0.787) Data 0.001 (0.005) Loss 1.5315 (1.6480) Prec@1 61.250 (55.647) Prec@5 86.875 (84.401) Epoch: [73][910/11272] Time 0.815 (0.787) Data 0.001 (0.005) Loss 1.6012 (1.6474) Prec@1 55.625 (55.655) Prec@5 86.250 (84.422) Epoch: [73][920/11272] Time 0.836 (0.787) Data 0.001 (0.005) Loss 1.7103 (1.6484) Prec@1 53.750 (55.619) Prec@5 83.125 (84.408) Epoch: [73][930/11272] Time 0.710 (0.787) Data 0.001 (0.005) Loss 1.8368 (1.6487) Prec@1 53.125 (55.615) Prec@5 81.250 (84.409) Epoch: [73][940/11272] Time 0.771 (0.787) Data 0.002 (0.005) Loss 1.6958 (1.6487) Prec@1 56.875 (55.619) Prec@5 80.625 (84.399) Epoch: [73][950/11272] Time 0.863 (0.787) Data 0.002 (0.005) Loss 1.8098 (1.6493) Prec@1 51.250 (55.610) Prec@5 83.750 (84.395) Epoch: [73][960/11272] Time 0.831 (0.787) Data 0.001 (0.005) Loss 1.5253 (1.6493) Prec@1 61.875 (55.617) Prec@5 86.875 (84.391) Epoch: [73][970/11272] Time 0.711 (0.787) Data 0.001 (0.005) Loss 1.6726 (1.6491) Prec@1 61.250 (55.615) Prec@5 85.000 (84.398) Epoch: [73][980/11272] Time 0.832 (0.787) Data 0.002 (0.005) Loss 1.7580 (1.6493) Prec@1 52.500 (55.622) Prec@5 84.375 (84.395) Epoch: [73][990/11272] Time 0.825 (0.787) Data 0.002 (0.005) Loss 1.5631 (1.6490) Prec@1 60.625 (55.616) Prec@5 86.875 (84.406) Epoch: [73][1000/11272] Time 0.749 (0.786) Data 0.003 (0.005) Loss 1.4720 (1.6496) Prec@1 58.750 (55.608) Prec@5 88.125 (84.393) Epoch: [73][1010/11272] Time 0.737 (0.786) Data 0.001 (0.005) Loss 1.5817 (1.6496) Prec@1 54.375 (55.610) Prec@5 85.625 (84.387) Epoch: [73][1020/11272] Time 0.840 (0.787) Data 0.001 (0.005) Loss 1.5624 (1.6495) Prec@1 59.375 (55.620) Prec@5 85.625 (84.402) Epoch: [73][1030/11272] Time 0.802 (0.787) Data 0.001 (0.005) Loss 1.8647 (1.6498) Prec@1 50.625 (55.617) Prec@5 81.250 (84.385) Epoch: [73][1040/11272] Time 0.736 (0.787) Data 0.002 (0.005) Loss 1.7496 (1.6504) Prec@1 56.250 (55.615) Prec@5 83.750 (84.380) Epoch: [73][1050/11272] Time 0.704 (0.787) Data 0.001 (0.005) Loss 1.6513 (1.6506) Prec@1 53.125 (55.596) Prec@5 85.000 (84.377) Epoch: [73][1060/11272] Time 0.842 (0.787) Data 0.001 (0.005) Loss 1.5070 (1.6508) Prec@1 60.000 (55.595) Prec@5 87.500 (84.374) Epoch: [73][1070/11272] Time 0.813 (0.787) Data 0.001 (0.005) Loss 1.6215 (1.6509) Prec@1 58.125 (55.591) Prec@5 86.250 (84.375) Epoch: [73][1080/11272] Time 0.713 (0.787) Data 0.001 (0.005) Loss 1.6125 (1.6504) Prec@1 55.000 (55.595) Prec@5 85.625 (84.391) Epoch: [73][1090/11272] Time 0.735 (0.787) Data 0.001 (0.005) Loss 1.7995 (1.6508) Prec@1 50.625 (55.586) Prec@5 83.125 (84.390) Epoch: [73][1100/11272] Time 0.856 (0.787) Data 0.002 (0.005) Loss 1.9268 (1.6517) Prec@1 54.375 (55.580) Prec@5 80.625 (84.365) Epoch: [73][1110/11272] Time 0.792 (0.787) Data 0.001 (0.005) Loss 1.8921 (1.6521) Prec@1 45.000 (55.581) Prec@5 83.125 (84.355) Epoch: [73][1120/11272] Time 0.735 (0.787) Data 0.002 (0.005) Loss 1.7050 (1.6519) Prec@1 51.875 (55.581) Prec@5 83.750 (84.365) Epoch: [73][1130/11272] Time 0.840 (0.787) Data 0.001 (0.005) Loss 1.8283 (1.6517) Prec@1 50.000 (55.584) Prec@5 81.875 (84.369) Epoch: [73][1140/11272] Time 0.836 (0.787) Data 0.001 (0.005) Loss 1.4082 (1.6516) Prec@1 59.375 (55.588) Prec@5 90.000 (84.367) Epoch: [73][1150/11272] Time 0.731 (0.787) Data 0.001 (0.005) Loss 1.6389 (1.6511) Prec@1 50.000 (55.592) Prec@5 83.125 (84.372) Epoch: [73][1160/11272] Time 0.738 (0.787) Data 0.002 (0.005) Loss 1.4255 (1.6508) Prec@1 60.000 (55.598) Prec@5 85.625 (84.379) Epoch: [73][1170/11272] Time 0.816 (0.787) Data 0.001 (0.005) Loss 1.5624 (1.6500) Prec@1 58.750 (55.610) Prec@5 83.750 (84.388) Epoch: [73][1180/11272] Time 0.843 (0.787) Data 0.001 (0.004) Loss 1.6005 (1.6499) Prec@1 55.000 (55.601) Prec@5 86.250 (84.391) Epoch: [73][1190/11272] Time 0.717 (0.787) Data 0.001 (0.004) Loss 1.8419 (1.6504) Prec@1 56.250 (55.602) Prec@5 81.250 (84.383) Epoch: [73][1200/11272] Time 0.780 (0.787) Data 0.002 (0.004) Loss 1.6170 (1.6506) Prec@1 57.500 (55.589) Prec@5 83.750 (84.374) Epoch: [73][1210/11272] Time 0.839 (0.787) Data 0.001 (0.004) Loss 1.6033 (1.6502) Prec@1 56.250 (55.600) Prec@5 83.750 (84.381) Epoch: [73][1220/11272] Time 0.842 (0.787) Data 0.001 (0.004) Loss 1.5365 (1.6510) Prec@1 58.750 (55.590) Prec@5 84.375 (84.366) Epoch: [73][1230/11272] Time 0.716 (0.787) Data 0.001 (0.004) Loss 1.7250 (1.6509) Prec@1 58.750 (55.604) Prec@5 79.375 (84.361) Epoch: [73][1240/11272] Time 0.739 (0.787) Data 0.002 (0.004) Loss 1.5764 (1.6505) Prec@1 52.500 (55.610) Prec@5 86.250 (84.366) Epoch: [73][1250/11272] Time 0.843 (0.787) Data 0.002 (0.004) Loss 1.6130 (1.6500) Prec@1 56.250 (55.625) Prec@5 83.750 (84.375) Epoch: [73][1260/11272] Time 0.706 (0.787) Data 0.003 (0.004) Loss 1.7849 (1.6502) Prec@1 49.375 (55.620) Prec@5 85.625 (84.370) Epoch: [73][1270/11272] Time 0.750 (0.787) Data 0.002 (0.004) Loss 1.7319 (1.6493) Prec@1 58.750 (55.647) Prec@5 81.875 (84.376) Epoch: [73][1280/11272] Time 0.857 (0.787) Data 0.002 (0.004) Loss 1.5319 (1.6489) Prec@1 58.125 (55.647) Prec@5 85.000 (84.383) Epoch: [73][1290/11272] Time 0.884 (0.787) Data 0.002 (0.004) Loss 1.6452 (1.6486) Prec@1 58.125 (55.653) Prec@5 83.750 (84.397) Epoch: [73][1300/11272] Time 0.729 (0.787) Data 0.002 (0.004) Loss 1.7996 (1.6489) Prec@1 57.500 (55.649) Prec@5 80.625 (84.396) Epoch: [73][1310/11272] Time 0.717 (0.787) Data 0.002 (0.004) Loss 1.7344 (1.6490) Prec@1 48.750 (55.640) Prec@5 85.000 (84.398) Epoch: [73][1320/11272] Time 0.817 (0.787) Data 0.002 (0.004) Loss 1.5300 (1.6490) Prec@1 53.750 (55.647) Prec@5 86.250 (84.397) Epoch: [73][1330/11272] Time 0.868 (0.787) Data 0.001 (0.004) Loss 1.5013 (1.6489) Prec@1 60.000 (55.649) Prec@5 87.500 (84.396) Epoch: [73][1340/11272] Time 0.699 (0.787) Data 0.001 (0.004) Loss 1.4185 (1.6491) Prec@1 61.875 (55.647) Prec@5 88.125 (84.398) Epoch: [73][1350/11272] Time 0.744 (0.787) Data 0.002 (0.004) Loss 1.6267 (1.6495) Prec@1 55.000 (55.638) Prec@5 83.750 (84.383) Epoch: [73][1360/11272] Time 0.814 (0.787) Data 0.001 (0.004) Loss 1.5290 (1.6495) Prec@1 57.500 (55.638) Prec@5 86.875 (84.380) Epoch: [73][1370/11272] Time 0.839 (0.787) Data 0.002 (0.004) Loss 1.6325 (1.6494) Prec@1 54.375 (55.635) Prec@5 82.500 (84.378) Epoch: [73][1380/11272] Time 0.695 (0.786) Data 0.001 (0.004) Loss 1.7364 (1.6492) Prec@1 56.250 (55.658) Prec@5 83.750 (84.380) Epoch: [73][1390/11272] Time 0.874 (0.787) Data 0.001 (0.004) Loss 1.8545 (1.6494) Prec@1 50.000 (55.644) Prec@5 82.500 (84.383) Epoch: [73][1400/11272] Time 0.822 (0.787) Data 0.001 (0.004) Loss 1.7518 (1.6499) Prec@1 52.500 (55.639) Prec@5 80.625 (84.372) Epoch: [73][1410/11272] Time 0.750 (0.787) Data 0.001 (0.004) Loss 1.6589 (1.6501) Prec@1 57.500 (55.630) Prec@5 83.750 (84.368) Epoch: [73][1420/11272] Time 0.710 (0.786) Data 0.001 (0.004) Loss 1.6061 (1.6502) Prec@1 57.500 (55.624) Prec@5 86.250 (84.365) Epoch: [73][1430/11272] Time 0.827 (0.787) Data 0.002 (0.004) Loss 1.7170 (1.6502) Prec@1 56.250 (55.616) Prec@5 83.125 (84.365) Epoch: [73][1440/11272] Time 0.826 (0.787) Data 0.001 (0.004) Loss 1.6433 (1.6505) Prec@1 59.375 (55.624) Prec@5 83.125 (84.364) Epoch: [73][1450/11272] Time 0.754 (0.786) Data 0.003 (0.004) Loss 1.6714 (1.6507) Prec@1 53.125 (55.611) Prec@5 83.750 (84.366) Epoch: [73][1460/11272] Time 0.715 (0.787) Data 0.001 (0.004) Loss 1.3779 (1.6507) Prec@1 61.875 (55.610) Prec@5 91.250 (84.369) Epoch: [73][1470/11272] Time 0.830 (0.786) Data 0.002 (0.004) Loss 1.7726 (1.6508) Prec@1 52.500 (55.614) Prec@5 80.000 (84.362) Epoch: [73][1480/11272] Time 0.832 (0.786) Data 0.002 (0.004) Loss 1.7928 (1.6515) Prec@1 55.625 (55.603) Prec@5 81.250 (84.349) Epoch: [73][1490/11272] Time 0.739 (0.786) Data 0.002 (0.004) Loss 1.5914 (1.6513) Prec@1 55.000 (55.596) Prec@5 86.250 (84.352) Epoch: [73][1500/11272] Time 0.741 (0.786) Data 0.002 (0.004) Loss 1.9588 (1.6517) Prec@1 49.375 (55.595) Prec@5 81.250 (84.345) Epoch: [73][1510/11272] Time 0.911 (0.787) Data 0.004 (0.004) Loss 1.6871 (1.6515) Prec@1 57.500 (55.604) Prec@5 83.125 (84.344) Epoch: [73][1520/11272] Time 0.837 (0.786) Data 0.002 (0.004) Loss 1.6423 (1.6514) Prec@1 54.375 (55.605) Prec@5 85.000 (84.354) Epoch: [73][1530/11272] Time 0.706 (0.787) Data 0.001 (0.004) Loss 1.8350 (1.6520) Prec@1 52.500 (55.592) Prec@5 81.250 (84.348) Epoch: [73][1540/11272] Time 0.807 (0.787) Data 0.001 (0.004) Loss 1.9057 (1.6517) Prec@1 50.625 (55.597) Prec@5 78.750 (84.354) Epoch: [73][1550/11272] Time 0.873 (0.787) Data 0.002 (0.004) Loss 1.6399 (1.6516) Prec@1 54.375 (55.600) Prec@5 82.500 (84.354) Epoch: [73][1560/11272] Time 0.715 (0.786) Data 0.001 (0.004) Loss 1.6026 (1.6518) Prec@1 60.625 (55.603) Prec@5 86.875 (84.348) Epoch: [73][1570/11272] Time 0.723 (0.786) Data 0.001 (0.004) Loss 1.5249 (1.6520) Prec@1 56.250 (55.598) Prec@5 88.125 (84.344) Epoch: [73][1580/11272] Time 0.835 (0.787) Data 0.002 (0.004) Loss 1.6881 (1.6518) Prec@1 52.500 (55.605) Prec@5 86.875 (84.345) Epoch: [73][1590/11272] Time 0.799 (0.787) Data 0.001 (0.004) Loss 1.7342 (1.6523) Prec@1 54.375 (55.597) Prec@5 84.375 (84.332) Epoch: [73][1600/11272] Time 0.726 (0.786) Data 0.001 (0.004) Loss 1.4981 (1.6522) Prec@1 60.625 (55.596) Prec@5 84.375 (84.330) Epoch: [73][1610/11272] Time 0.724 (0.787) Data 0.001 (0.004) Loss 1.7516 (1.6524) Prec@1 55.000 (55.598) Prec@5 85.000 (84.323) Epoch: [73][1620/11272] Time 0.891 (0.787) Data 0.002 (0.004) Loss 1.5966 (1.6523) Prec@1 58.750 (55.606) Prec@5 83.750 (84.330) Epoch: [73][1630/11272] Time 0.892 (0.787) Data 0.001 (0.004) Loss 1.5963 (1.6525) Prec@1 57.500 (55.604) Prec@5 84.375 (84.326) Epoch: [73][1640/11272] Time 0.710 (0.787) Data 0.001 (0.004) Loss 1.6126 (1.6526) Prec@1 54.375 (55.598) Prec@5 87.500 (84.325) Epoch: [73][1650/11272] Time 0.733 (0.787) Data 0.001 (0.004) Loss 1.5109 (1.6526) Prec@1 60.000 (55.605) Prec@5 86.875 (84.323) Epoch: [73][1660/11272] Time 0.821 (0.787) Data 0.001 (0.004) Loss 1.4992 (1.6523) Prec@1 55.625 (55.607) Prec@5 88.125 (84.326) Epoch: [73][1670/11272] Time 0.707 (0.787) Data 0.001 (0.004) Loss 1.5587 (1.6521) Prec@1 55.000 (55.604) Prec@5 85.625 (84.332) Epoch: [73][1680/11272] Time 0.717 (0.786) Data 0.001 (0.004) Loss 1.4002 (1.6523) Prec@1 61.875 (55.598) Prec@5 86.875 (84.323) Epoch: [73][1690/11272] Time 0.880 (0.787) Data 0.002 (0.004) Loss 1.6440 (1.6529) Prec@1 54.375 (55.591) Prec@5 84.375 (84.311) Epoch: [73][1700/11272] Time 0.876 (0.787) Data 0.001 (0.004) Loss 1.4442 (1.6527) Prec@1 63.125 (55.594) Prec@5 87.500 (84.318) Epoch: [73][1710/11272] Time 0.743 (0.787) Data 0.002 (0.004) Loss 1.8670 (1.6531) Prec@1 48.125 (55.585) Prec@5 83.750 (84.313) Epoch: [73][1720/11272] Time 0.712 (0.787) Data 0.001 (0.004) Loss 1.5142 (1.6527) Prec@1 58.125 (55.590) Prec@5 86.250 (84.318) Epoch: [73][1730/11272] Time 0.838 (0.787) Data 0.002 (0.004) Loss 1.3129 (1.6526) Prec@1 61.250 (55.594) Prec@5 89.375 (84.319) Epoch: [73][1740/11272] Time 0.809 (0.786) Data 0.001 (0.004) Loss 1.6301 (1.6524) Prec@1 52.500 (55.605) Prec@5 86.875 (84.325) Epoch: [73][1750/11272] Time 0.747 (0.786) Data 0.002 (0.004) Loss 1.5245 (1.6523) Prec@1 62.500 (55.608) Prec@5 83.125 (84.321) Epoch: [73][1760/11272] Time 0.743 (0.786) Data 0.002 (0.004) Loss 1.4682 (1.6520) Prec@1 58.125 (55.613) Prec@5 90.000 (84.324) Epoch: [73][1770/11272] Time 0.838 (0.786) Data 0.002 (0.004) Loss 1.8262 (1.6518) Prec@1 52.500 (55.619) Prec@5 81.250 (84.335) Epoch: [73][1780/11272] Time 0.810 (0.786) Data 0.001 (0.004) Loss 1.5369 (1.6517) Prec@1 59.375 (55.623) Prec@5 84.375 (84.336) Epoch: [73][1790/11272] Time 0.711 (0.786) Data 0.001 (0.003) Loss 1.7185 (1.6515) Prec@1 51.875 (55.630) Prec@5 82.500 (84.340) Epoch: [73][1800/11272] Time 0.845 (0.786) Data 0.001 (0.003) Loss 1.5140 (1.6518) Prec@1 58.125 (55.617) Prec@5 84.375 (84.332) Epoch: [73][1810/11272] Time 0.832 (0.786) Data 0.001 (0.003) Loss 1.8929 (1.6517) Prec@1 52.500 (55.615) Prec@5 80.625 (84.336) Epoch: [73][1820/11272] Time 0.709 (0.786) Data 0.001 (0.003) Loss 1.5876 (1.6517) Prec@1 55.000 (55.609) Prec@5 86.875 (84.337) Epoch: [73][1830/11272] Time 0.711 (0.786) Data 0.001 (0.003) Loss 1.3591 (1.6517) Prec@1 58.750 (55.605) Prec@5 90.625 (84.338) Epoch: [73][1840/11272] Time 0.816 (0.786) Data 0.002 (0.003) Loss 1.9138 (1.6518) Prec@1 48.750 (55.603) Prec@5 79.375 (84.335) Epoch: [73][1850/11272] Time 0.873 (0.786) Data 0.002 (0.003) Loss 1.6594 (1.6516) Prec@1 55.625 (55.620) Prec@5 82.500 (84.333) Epoch: [73][1860/11272] Time 0.721 (0.786) Data 0.001 (0.003) Loss 1.6672 (1.6515) Prec@1 52.500 (55.623) Prec@5 81.250 (84.331) Epoch: [73][1870/11272] Time 0.738 (0.786) Data 0.001 (0.003) Loss 1.8018 (1.6517) Prec@1 51.875 (55.617) Prec@5 82.500 (84.325) Epoch: [73][1880/11272] Time 0.896 (0.786) Data 0.002 (0.003) Loss 1.5633 (1.6518) Prec@1 60.000 (55.620) Prec@5 86.250 (84.323) Epoch: [73][1890/11272] Time 0.832 (0.786) Data 0.002 (0.003) Loss 1.7053 (1.6518) Prec@1 51.875 (55.617) Prec@5 83.750 (84.324) Epoch: [73][1900/11272] Time 0.726 (0.786) Data 0.001 (0.003) Loss 1.8262 (1.6521) Prec@1 55.625 (55.603) Prec@5 81.250 (84.322) Epoch: [73][1910/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 1.6513 (1.6525) Prec@1 55.625 (55.592) Prec@5 83.125 (84.317) Epoch: [73][1920/11272] Time 0.881 (0.786) Data 0.002 (0.003) Loss 1.4849 (1.6522) Prec@1 62.500 (55.603) Prec@5 87.500 (84.321) Epoch: [73][1930/11272] Time 0.726 (0.786) Data 0.003 (0.003) Loss 1.4806 (1.6526) Prec@1 61.875 (55.593) Prec@5 86.875 (84.314) Epoch: [73][1940/11272] Time 0.692 (0.786) Data 0.002 (0.003) Loss 1.9059 (1.6524) Prec@1 51.875 (55.598) Prec@5 80.625 (84.323) Epoch: [73][1950/11272] Time 0.807 (0.786) Data 0.001 (0.003) Loss 1.5812 (1.6525) Prec@1 60.000 (55.603) Prec@5 83.750 (84.325) Epoch: [73][1960/11272] Time 0.915 (0.786) Data 0.002 (0.003) Loss 1.5320 (1.6526) Prec@1 60.625 (55.600) Prec@5 84.375 (84.321) Epoch: [73][1970/11272] Time 0.730 (0.786) Data 0.001 (0.003) Loss 1.8001 (1.6528) Prec@1 50.000 (55.597) Prec@5 80.000 (84.314) Epoch: [73][1980/11272] Time 0.721 (0.786) Data 0.001 (0.003) Loss 1.6884 (1.6533) Prec@1 51.875 (55.587) Prec@5 80.000 (84.302) Epoch: [73][1990/11272] Time 0.879 (0.786) Data 0.002 (0.003) Loss 1.5711 (1.6531) Prec@1 53.125 (55.589) Prec@5 89.375 (84.303) Epoch: [73][2000/11272] Time 0.824 (0.786) Data 0.002 (0.003) Loss 1.7911 (1.6532) Prec@1 50.000 (55.591) Prec@5 83.125 (84.295) Epoch: [73][2010/11272] Time 0.726 (0.786) Data 0.001 (0.003) Loss 1.7866 (1.6531) Prec@1 48.750 (55.592) Prec@5 85.000 (84.294) Epoch: [73][2020/11272] Time 0.711 (0.786) Data 0.001 (0.003) Loss 1.7015 (1.6531) Prec@1 55.000 (55.593) Prec@5 81.875 (84.298) Epoch: [73][2030/11272] Time 0.825 (0.786) Data 0.001 (0.003) Loss 1.8538 (1.6531) Prec@1 51.875 (55.593) Prec@5 80.625 (84.303) Epoch: [73][2040/11272] Time 0.844 (0.786) Data 0.002 (0.003) Loss 1.4331 (1.6529) Prec@1 60.625 (55.600) Prec@5 86.250 (84.304) Epoch: [73][2050/11272] Time 0.718 (0.786) Data 0.002 (0.003) Loss 1.8005 (1.6534) Prec@1 54.375 (55.596) Prec@5 80.625 (84.295) Epoch: [73][2060/11272] Time 0.868 (0.786) Data 0.002 (0.003) Loss 1.6213 (1.6536) Prec@1 54.375 (55.585) Prec@5 89.375 (84.290) Epoch: [73][2070/11272] Time 0.816 (0.786) Data 0.002 (0.003) Loss 1.8069 (1.6537) Prec@1 46.250 (55.576) Prec@5 81.875 (84.291) Epoch: [73][2080/11272] Time 0.703 (0.786) Data 0.001 (0.003) Loss 1.7249 (1.6540) Prec@1 56.875 (55.577) Prec@5 82.500 (84.283) Epoch: [73][2090/11272] Time 0.709 (0.786) Data 0.001 (0.003) Loss 1.6335 (1.6541) Prec@1 58.125 (55.577) Prec@5 84.375 (84.281) Epoch: [73][2100/11272] Time 0.842 (0.786) Data 0.001 (0.003) Loss 1.6719 (1.6540) Prec@1 57.500 (55.579) Prec@5 81.875 (84.280) Epoch: [73][2110/11272] Time 0.810 (0.786) Data 0.001 (0.003) Loss 1.4425 (1.6537) Prec@1 63.125 (55.588) Prec@5 87.500 (84.284) Epoch: [73][2120/11272] Time 0.737 (0.786) Data 0.001 (0.003) Loss 1.4671 (1.6537) Prec@1 58.125 (55.592) Prec@5 88.125 (84.282) Epoch: [73][2130/11272] Time 0.698 (0.786) Data 0.001 (0.003) Loss 1.6468 (1.6541) Prec@1 51.875 (55.585) Prec@5 83.750 (84.277) Epoch: [73][2140/11272] Time 0.819 (0.786) Data 0.001 (0.003) Loss 1.5463 (1.6543) Prec@1 56.875 (55.576) Prec@5 86.250 (84.273) Epoch: [73][2150/11272] Time 0.871 (0.786) Data 0.003 (0.003) Loss 1.4682 (1.6544) Prec@1 59.375 (55.573) Prec@5 86.250 (84.267) Epoch: [73][2160/11272] Time 0.746 (0.786) Data 0.002 (0.003) Loss 1.8213 (1.6543) Prec@1 50.625 (55.578) Prec@5 81.875 (84.269) Epoch: [73][2170/11272] Time 0.727 (0.786) Data 0.002 (0.003) Loss 1.3861 (1.6540) Prec@1 60.000 (55.580) Prec@5 88.750 (84.275) Epoch: [73][2180/11272] Time 0.832 (0.786) Data 0.002 (0.003) Loss 1.7282 (1.6541) Prec@1 51.875 (55.577) Prec@5 83.750 (84.272) Epoch: [73][2190/11272] Time 0.730 (0.786) Data 0.003 (0.003) Loss 1.8009 (1.6541) Prec@1 56.875 (55.581) Prec@5 79.375 (84.270) Epoch: [73][2200/11272] Time 0.701 (0.786) Data 0.000 (0.003) Loss 1.3964 (1.6541) Prec@1 60.625 (55.578) Prec@5 88.125 (84.271) Epoch: [73][2210/11272] Time 0.853 (0.786) Data 0.002 (0.003) Loss 1.6690 (1.6542) Prec@1 51.875 (55.577) Prec@5 85.625 (84.273) Epoch: [73][2220/11272] Time 0.836 (0.786) Data 0.001 (0.003) Loss 1.5172 (1.6540) Prec@1 64.375 (55.587) Prec@5 85.000 (84.274) Epoch: [73][2230/11272] Time 0.737 (0.786) Data 0.002 (0.003) Loss 1.7092 (1.6545) Prec@1 56.250 (55.583) Prec@5 82.500 (84.267) Epoch: [73][2240/11272] Time 0.719 (0.786) Data 0.001 (0.003) Loss 1.7091 (1.6545) Prec@1 54.375 (55.586) Prec@5 83.125 (84.270) Epoch: [73][2250/11272] Time 0.829 (0.786) Data 0.001 (0.003) Loss 1.8154 (1.6547) Prec@1 54.375 (55.586) Prec@5 79.375 (84.263) Epoch: [73][2260/11272] Time 0.856 (0.786) Data 0.002 (0.003) Loss 1.9012 (1.6546) Prec@1 50.000 (55.585) Prec@5 81.875 (84.266) Epoch: [73][2270/11272] Time 0.716 (0.786) Data 0.001 (0.003) Loss 1.6202 (1.6548) Prec@1 53.750 (55.582) Prec@5 82.500 (84.262) Epoch: [73][2280/11272] Time 0.723 (0.786) Data 0.001 (0.003) Loss 1.7814 (1.6548) Prec@1 60.000 (55.580) Prec@5 83.125 (84.265) Epoch: [73][2290/11272] Time 0.810 (0.786) Data 0.001 (0.003) Loss 1.7040 (1.6546) Prec@1 50.625 (55.582) Prec@5 85.000 (84.264) Epoch: [73][2300/11272] Time 0.862 (0.786) Data 0.002 (0.003) Loss 1.5441 (1.6548) Prec@1 58.125 (55.581) Prec@5 85.000 (84.256) Epoch: [73][2310/11272] Time 0.731 (0.786) Data 0.001 (0.003) Loss 1.8185 (1.6546) Prec@1 51.875 (55.582) Prec@5 83.125 (84.263) Epoch: [73][2320/11272] Time 0.798 (0.786) Data 0.001 (0.003) Loss 1.7500 (1.6547) Prec@1 55.000 (55.580) Prec@5 82.500 (84.262) Epoch: [73][2330/11272] Time 0.860 (0.786) Data 0.001 (0.003) Loss 1.6136 (1.6548) Prec@1 55.625 (55.575) Prec@5 85.625 (84.258) Epoch: [73][2340/11272] Time 0.720 (0.786) Data 0.001 (0.003) Loss 1.7227 (1.6550) Prec@1 48.750 (55.570) Prec@5 85.000 (84.258) Epoch: [73][2350/11272] Time 0.728 (0.786) Data 0.001 (0.003) Loss 1.7122 (1.6549) Prec@1 55.000 (55.573) Prec@5 82.500 (84.260) Epoch: [73][2360/11272] Time 0.809 (0.786) Data 0.001 (0.003) Loss 1.6552 (1.6550) Prec@1 54.375 (55.575) Prec@5 84.375 (84.258) Epoch: [73][2370/11272] Time 0.849 (0.786) Data 0.002 (0.003) Loss 1.6940 (1.6548) Prec@1 55.625 (55.581) Prec@5 82.500 (84.263) Epoch: [73][2380/11272] Time 0.727 (0.786) Data 0.001 (0.003) Loss 1.6044 (1.6551) Prec@1 56.250 (55.577) Prec@5 81.250 (84.253) Epoch: [73][2390/11272] Time 0.689 (0.786) Data 0.001 (0.003) Loss 1.9962 (1.6550) Prec@1 43.750 (55.578) Prec@5 78.125 (84.254) Epoch: [73][2400/11272] Time 0.822 (0.786) Data 0.001 (0.003) Loss 1.6065 (1.6550) Prec@1 60.000 (55.582) Prec@5 85.000 (84.252) Epoch: [73][2410/11272] Time 0.847 (0.786) Data 0.002 (0.003) Loss 1.8841 (1.6553) Prec@1 51.250 (55.574) Prec@5 76.875 (84.245) Epoch: [73][2420/11272] Time 0.779 (0.786) Data 0.002 (0.003) Loss 1.6932 (1.6554) Prec@1 54.375 (55.572) Prec@5 79.375 (84.239) Epoch: [73][2430/11272] Time 0.736 (0.786) Data 0.002 (0.003) Loss 1.6332 (1.6554) Prec@1 51.250 (55.567) Prec@5 84.375 (84.236) Epoch: [73][2440/11272] Time 0.834 (0.786) Data 0.002 (0.003) Loss 1.8378 (1.6554) Prec@1 52.500 (55.566) Prec@5 81.250 (84.236) Epoch: [73][2450/11272] Time 0.834 (0.786) Data 0.002 (0.003) Loss 1.7802 (1.6558) Prec@1 48.750 (55.553) Prec@5 83.750 (84.231) Epoch: [73][2460/11272] Time 0.731 (0.786) Data 0.001 (0.003) Loss 1.6112 (1.6558) Prec@1 55.000 (55.554) Prec@5 85.625 (84.235) Epoch: [73][2470/11272] Time 0.936 (0.786) Data 0.002 (0.003) Loss 1.6916 (1.6559) Prec@1 57.500 (55.556) Prec@5 84.375 (84.233) Epoch: [73][2480/11272] Time 0.819 (0.786) Data 0.001 (0.003) Loss 1.7202 (1.6561) Prec@1 53.125 (55.553) Prec@5 82.500 (84.229) Epoch: [73][2490/11272] Time 0.719 (0.786) Data 0.001 (0.003) Loss 1.3982 (1.6558) Prec@1 61.875 (55.560) Prec@5 86.250 (84.239) Epoch: [73][2500/11272] Time 0.720 (0.786) Data 0.001 (0.003) Loss 1.8326 (1.6560) Prec@1 48.125 (55.559) Prec@5 80.625 (84.238) Epoch: [73][2510/11272] Time 0.863 (0.786) Data 0.002 (0.003) Loss 1.4102 (1.6559) Prec@1 59.375 (55.561) Prec@5 90.000 (84.237) Epoch: [73][2520/11272] Time 0.866 (0.786) Data 0.002 (0.003) Loss 1.6900 (1.6561) Prec@1 55.000 (55.560) Prec@5 84.375 (84.228) Epoch: [73][2530/11272] Time 0.742 (0.786) Data 0.002 (0.003) Loss 1.7832 (1.6563) Prec@1 53.750 (55.565) Prec@5 81.250 (84.220) Epoch: [73][2540/11272] Time 0.731 (0.786) Data 0.002 (0.003) Loss 1.7943 (1.6565) Prec@1 50.625 (55.563) Prec@5 78.750 (84.217) Epoch: [73][2550/11272] Time 0.837 (0.786) Data 0.001 (0.003) Loss 1.5236 (1.6563) Prec@1 58.125 (55.567) Prec@5 87.500 (84.218) Epoch: [73][2560/11272] Time 0.850 (0.786) Data 0.002 (0.003) Loss 1.4710 (1.6560) Prec@1 58.750 (55.575) Prec@5 87.500 (84.222) Epoch: [73][2570/11272] Time 0.703 (0.786) Data 0.001 (0.003) Loss 1.7401 (1.6559) Prec@1 50.000 (55.571) Prec@5 79.375 (84.222) Epoch: [73][2580/11272] Time 0.712 (0.786) Data 0.001 (0.003) Loss 1.6283 (1.6559) Prec@1 60.000 (55.568) Prec@5 83.750 (84.224) Epoch: [73][2590/11272] Time 0.827 (0.786) Data 0.002 (0.003) Loss 1.6171 (1.6559) Prec@1 54.375 (55.570) Prec@5 85.625 (84.223) Epoch: [73][2600/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 1.7500 (1.6561) Prec@1 58.125 (55.568) Prec@5 83.125 (84.221) Epoch: [73][2610/11272] Time 0.709 (0.786) Data 0.001 (0.003) Loss 1.6491 (1.6561) Prec@1 53.750 (55.567) Prec@5 83.125 (84.221) Epoch: [73][2620/11272] Time 0.839 (0.786) Data 0.001 (0.003) Loss 1.5269 (1.6560) Prec@1 58.125 (55.570) Prec@5 88.125 (84.226) Epoch: [73][2630/11272] Time 0.807 (0.786) Data 0.001 (0.003) Loss 1.8357 (1.6558) Prec@1 48.750 (55.568) Prec@5 82.500 (84.228) Epoch: [73][2640/11272] Time 0.704 (0.786) Data 0.001 (0.003) Loss 1.6220 (1.6559) Prec@1 56.875 (55.564) Prec@5 86.875 (84.228) Epoch: [73][2650/11272] Time 0.706 (0.786) Data 0.001 (0.003) Loss 1.5366 (1.6560) Prec@1 60.625 (55.565) Prec@5 86.875 (84.225) Epoch: [73][2660/11272] Time 0.826 (0.786) Data 0.001 (0.003) Loss 1.7163 (1.6562) Prec@1 55.625 (55.555) Prec@5 84.375 (84.225) Epoch: [73][2670/11272] Time 0.858 (0.786) Data 0.002 (0.003) Loss 1.7224 (1.6560) Prec@1 54.375 (55.567) Prec@5 82.500 (84.230) Epoch: [73][2680/11272] Time 0.708 (0.786) Data 0.001 (0.003) Loss 1.5325 (1.6560) Prec@1 56.250 (55.567) Prec@5 86.875 (84.231) Epoch: [73][2690/11272] Time 0.742 (0.786) Data 0.001 (0.003) Loss 1.7541 (1.6560) Prec@1 58.125 (55.570) Prec@5 81.250 (84.233) Epoch: [73][2700/11272] Time 0.832 (0.786) Data 0.001 (0.003) Loss 1.6478 (1.6562) Prec@1 60.000 (55.564) Prec@5 83.750 (84.230) Epoch: [73][2710/11272] Time 0.868 (0.786) Data 0.002 (0.003) Loss 1.6977 (1.6562) Prec@1 53.750 (55.569) Prec@5 85.000 (84.231) Epoch: [73][2720/11272] Time 0.712 (0.786) Data 0.001 (0.003) Loss 1.4844 (1.6565) Prec@1 60.000 (55.562) Prec@5 86.875 (84.228) Epoch: [73][2730/11272] Time 0.835 (0.786) Data 0.001 (0.003) Loss 1.6079 (1.6564) Prec@1 56.250 (55.565) Prec@5 86.250 (84.231) Epoch: [73][2740/11272] Time 0.859 (0.786) Data 0.002 (0.003) Loss 1.6293 (1.6565) Prec@1 62.500 (55.562) Prec@5 83.750 (84.227) Epoch: [73][2750/11272] Time 0.762 (0.786) Data 0.001 (0.003) Loss 1.5604 (1.6565) Prec@1 58.750 (55.563) Prec@5 86.250 (84.224) Epoch: [73][2760/11272] Time 0.717 (0.786) Data 0.001 (0.003) Loss 1.7020 (1.6566) Prec@1 56.250 (55.559) Prec@5 81.250 (84.220) Epoch: [73][2770/11272] Time 0.807 (0.786) Data 0.001 (0.003) Loss 1.6236 (1.6566) Prec@1 55.625 (55.556) Prec@5 85.625 (84.221) Epoch: [73][2780/11272] Time 0.867 (0.786) Data 0.002 (0.003) Loss 1.7445 (1.6568) Prec@1 56.875 (55.552) Prec@5 80.625 (84.214) Epoch: [73][2790/11272] Time 0.727 (0.786) Data 0.001 (0.003) Loss 1.7567 (1.6570) Prec@1 55.000 (55.547) Prec@5 84.375 (84.213) Epoch: [73][2800/11272] Time 0.714 (0.786) Data 0.001 (0.003) Loss 1.8898 (1.6571) Prec@1 51.875 (55.545) Prec@5 79.375 (84.209) Epoch: [73][2810/11272] Time 0.853 (0.786) Data 0.002 (0.003) Loss 1.5830 (1.6572) Prec@1 60.625 (55.542) Prec@5 83.125 (84.204) Epoch: [73][2820/11272] Time 0.837 (0.786) Data 0.002 (0.003) Loss 1.5873 (1.6573) Prec@1 60.625 (55.541) Prec@5 86.875 (84.206) Epoch: [73][2830/11272] Time 0.734 (0.786) Data 0.001 (0.003) Loss 1.6969 (1.6571) Prec@1 51.875 (55.540) Prec@5 85.000 (84.208) Epoch: [73][2840/11272] Time 0.720 (0.786) Data 0.001 (0.003) Loss 1.5140 (1.6571) Prec@1 60.000 (55.536) Prec@5 88.125 (84.206) Epoch: [73][2850/11272] Time 0.816 (0.786) Data 0.001 (0.003) Loss 1.6478 (1.6574) Prec@1 58.750 (55.530) Prec@5 82.500 (84.206) Epoch: [73][2860/11272] Time 0.728 (0.786) Data 0.003 (0.003) Loss 1.7209 (1.6573) Prec@1 53.750 (55.534) Prec@5 83.750 (84.208) Epoch: [73][2870/11272] Time 0.702 (0.786) Data 0.001 (0.003) Loss 1.3716 (1.6574) Prec@1 61.250 (55.536) Prec@5 91.875 (84.206) Epoch: [73][2880/11272] Time 0.829 (0.786) Data 0.002 (0.003) Loss 1.6347 (1.6576) Prec@1 54.375 (55.531) Prec@5 81.875 (84.199) Epoch: [73][2890/11272] Time 0.829 (0.786) Data 0.001 (0.003) Loss 1.7853 (1.6578) Prec@1 53.125 (55.525) Prec@5 82.500 (84.197) Epoch: [73][2900/11272] Time 0.749 (0.786) Data 0.001 (0.003) Loss 1.7717 (1.6575) Prec@1 49.375 (55.526) Prec@5 83.750 (84.202) Epoch: [73][2910/11272] Time 0.718 (0.786) Data 0.002 (0.003) Loss 1.7052 (1.6574) Prec@1 51.875 (55.532) Prec@5 83.125 (84.205) Epoch: [73][2920/11272] Time 0.900 (0.786) Data 0.002 (0.003) Loss 1.8603 (1.6574) Prec@1 56.250 (55.533) Prec@5 81.250 (84.204) Epoch: [73][2930/11272] Time 0.838 (0.786) Data 0.001 (0.003) Loss 1.7800 (1.6575) Prec@1 53.125 (55.530) Prec@5 80.000 (84.202) Epoch: [73][2940/11272] Time 0.719 (0.786) Data 0.001 (0.003) Loss 1.5729 (1.6575) Prec@1 58.125 (55.532) Prec@5 88.125 (84.204) Epoch: [73][2950/11272] Time 0.716 (0.786) Data 0.001 (0.003) Loss 1.7089 (1.6577) Prec@1 53.125 (55.525) Prec@5 81.875 (84.198) Epoch: [73][2960/11272] Time 0.858 (0.786) Data 0.002 (0.003) Loss 1.5311 (1.6576) Prec@1 62.500 (55.528) Prec@5 87.500 (84.197) Epoch: [73][2970/11272] Time 0.844 (0.786) Data 0.002 (0.003) Loss 1.6345 (1.6576) Prec@1 55.625 (55.527) Prec@5 84.375 (84.198) Epoch: [73][2980/11272] Time 0.718 (0.786) Data 0.001 (0.003) Loss 1.4703 (1.6577) Prec@1 60.000 (55.524) Prec@5 85.625 (84.194) Epoch: [73][2990/11272] Time 0.786 (0.786) Data 0.001 (0.003) Loss 1.5626 (1.6575) Prec@1 57.500 (55.527) Prec@5 85.625 (84.197) Epoch: [73][3000/11272] Time 0.879 (0.786) Data 0.002 (0.003) Loss 1.6910 (1.6575) Prec@1 58.125 (55.531) Prec@5 84.375 (84.194) Epoch: [73][3010/11272] Time 0.745 (0.786) Data 0.002 (0.003) Loss 1.7417 (1.6576) Prec@1 51.875 (55.531) Prec@5 82.500 (84.192) Epoch: [73][3020/11272] Time 0.720 (0.786) Data 0.001 (0.003) Loss 1.5967 (1.6575) Prec@1 61.875 (55.535) Prec@5 82.500 (84.192) Epoch: [73][3030/11272] Time 0.900 (0.786) Data 0.002 (0.003) Loss 1.7666 (1.6575) Prec@1 55.000 (55.535) Prec@5 82.500 (84.193) Epoch: [73][3040/11272] Time 0.829 (0.786) Data 0.002 (0.003) Loss 1.7557 (1.6576) Prec@1 56.875 (55.533) Prec@5 81.875 (84.192) Epoch: [73][3050/11272] Time 0.767 (0.786) Data 0.001 (0.003) Loss 1.6813 (1.6575) Prec@1 56.250 (55.538) Prec@5 82.500 (84.193) Epoch: [73][3060/11272] Time 0.721 (0.786) Data 0.001 (0.003) Loss 1.6736 (1.6575) Prec@1 56.875 (55.539) Prec@5 85.000 (84.195) Epoch: [73][3070/11272] Time 0.832 (0.786) Data 0.002 (0.003) Loss 1.6419 (1.6575) Prec@1 55.000 (55.538) Prec@5 85.000 (84.194) Epoch: [73][3080/11272] Time 0.852 (0.786) Data 0.001 (0.003) Loss 1.8055 (1.6575) Prec@1 53.125 (55.535) Prec@5 83.125 (84.195) Epoch: [73][3090/11272] Time 0.752 (0.786) Data 0.001 (0.003) Loss 1.9564 (1.6577) Prec@1 52.500 (55.533) Prec@5 78.750 (84.190) Epoch: [73][3100/11272] Time 0.705 (0.786) Data 0.001 (0.003) Loss 1.6204 (1.6576) Prec@1 55.000 (55.535) Prec@5 86.875 (84.194) Epoch: [73][3110/11272] Time 0.808 (0.786) Data 0.001 (0.003) Loss 1.3584 (1.6577) Prec@1 59.375 (55.528) Prec@5 90.625 (84.195) Epoch: [73][3120/11272] Time 0.740 (0.786) Data 0.003 (0.003) Loss 1.6592 (1.6578) Prec@1 53.750 (55.531) Prec@5 85.000 (84.193) Epoch: [73][3130/11272] Time 0.705 (0.786) Data 0.001 (0.003) Loss 1.6998 (1.6578) Prec@1 55.625 (55.528) Prec@5 84.375 (84.192) Epoch: [73][3140/11272] Time 0.839 (0.786) Data 0.001 (0.003) Loss 1.6140 (1.6578) Prec@1 55.000 (55.529) Prec@5 84.375 (84.193) Epoch: [73][3150/11272] Time 0.853 (0.786) Data 0.001 (0.003) Loss 1.5444 (1.6579) Prec@1 53.125 (55.532) Prec@5 86.875 (84.193) Epoch: [73][3160/11272] Time 0.706 (0.786) Data 0.001 (0.003) Loss 1.6136 (1.6579) Prec@1 60.625 (55.532) Prec@5 83.125 (84.193) Epoch: [73][3170/11272] Time 0.719 (0.786) Data 0.001 (0.003) Loss 1.6286 (1.6578) Prec@1 59.375 (55.535) Prec@5 82.500 (84.194) Epoch: [73][3180/11272] Time 0.818 (0.786) Data 0.002 (0.003) Loss 1.6551 (1.6579) Prec@1 56.875 (55.531) Prec@5 85.625 (84.193) Epoch: [73][3190/11272] Time 0.840 (0.786) Data 0.002 (0.003) Loss 1.7422 (1.6580) Prec@1 50.000 (55.527) Prec@5 83.750 (84.191) Epoch: [73][3200/11272] Time 0.717 (0.786) Data 0.001 (0.003) Loss 1.3329 (1.6579) Prec@1 67.500 (55.533) Prec@5 90.000 (84.193) Epoch: [73][3210/11272] Time 0.708 (0.786) Data 0.001 (0.003) Loss 1.7923 (1.6577) Prec@1 55.625 (55.540) Prec@5 80.625 (84.194) Epoch: [73][3220/11272] Time 0.806 (0.786) Data 0.001 (0.003) Loss 1.5087 (1.6576) Prec@1 60.625 (55.545) Prec@5 88.125 (84.196) Epoch: [73][3230/11272] Time 0.824 (0.786) Data 0.001 (0.003) Loss 1.7725 (1.6574) Prec@1 55.000 (55.550) Prec@5 83.125 (84.198) Epoch: [73][3240/11272] Time 0.685 (0.786) Data 0.001 (0.003) Loss 1.4118 (1.6574) Prec@1 60.000 (55.552) Prec@5 88.125 (84.199) Epoch: [73][3250/11272] Time 0.826 (0.786) Data 0.001 (0.003) Loss 1.6543 (1.6572) Prec@1 56.250 (55.554) Prec@5 83.125 (84.200) Epoch: [73][3260/11272] Time 0.834 (0.786) Data 0.001 (0.003) Loss 2.0630 (1.6573) Prec@1 45.000 (55.556) Prec@5 83.750 (84.199) Epoch: [73][3270/11272] Time 0.717 (0.786) Data 0.001 (0.003) Loss 1.7339 (1.6575) Prec@1 53.750 (55.550) Prec@5 83.125 (84.197) Epoch: [73][3280/11272] Time 0.729 (0.786) Data 0.001 (0.003) Loss 1.6303 (1.6576) Prec@1 51.250 (55.548) Prec@5 86.250 (84.194) Epoch: [73][3290/11272] Time 0.817 (0.786) Data 0.001 (0.003) Loss 2.0876 (1.6579) Prec@1 50.000 (55.547) Prec@5 77.500 (84.190) Epoch: [73][3300/11272] Time 0.852 (0.786) Data 0.001 (0.003) Loss 1.7091 (1.6578) Prec@1 51.875 (55.545) Prec@5 83.750 (84.191) Epoch: [73][3310/11272] Time 0.712 (0.786) Data 0.001 (0.003) Loss 1.7394 (1.6579) Prec@1 53.125 (55.546) Prec@5 84.375 (84.193) Epoch: [73][3320/11272] Time 0.711 (0.786) Data 0.001 (0.003) Loss 1.9121 (1.6580) Prec@1 51.250 (55.543) Prec@5 78.125 (84.194) Epoch: [73][3330/11272] Time 0.837 (0.786) Data 0.002 (0.003) Loss 1.5119 (1.6580) Prec@1 58.125 (55.548) Prec@5 88.750 (84.193) Epoch: [73][3340/11272] Time 0.861 (0.786) Data 0.001 (0.003) Loss 1.5221 (1.6578) Prec@1 63.750 (55.553) Prec@5 87.500 (84.196) Epoch: [73][3350/11272] Time 0.704 (0.786) Data 0.001 (0.003) Loss 1.6365 (1.6578) Prec@1 56.875 (55.554) Prec@5 86.250 (84.198) Epoch: [73][3360/11272] Time 0.727 (0.786) Data 0.001 (0.003) Loss 1.7358 (1.6577) Prec@1 48.750 (55.556) Prec@5 82.500 (84.198) Epoch: [73][3370/11272] Time 0.824 (0.786) Data 0.002 (0.003) Loss 1.4315 (1.6575) Prec@1 58.750 (55.557) Prec@5 91.875 (84.203) Epoch: [73][3380/11272] Time 0.902 (0.786) Data 0.002 (0.003) Loss 1.8226 (1.6575) Prec@1 51.250 (55.560) Prec@5 84.375 (84.203) Epoch: [73][3390/11272] Time 0.754 (0.786) Data 0.001 (0.003) Loss 1.8013 (1.6574) Prec@1 53.125 (55.561) Prec@5 81.875 (84.207) Epoch: [73][3400/11272] Time 0.828 (0.786) Data 0.002 (0.003) Loss 1.7468 (1.6577) Prec@1 53.750 (55.552) Prec@5 85.000 (84.204) Epoch: [73][3410/11272] Time 0.845 (0.786) Data 0.002 (0.003) Loss 1.8781 (1.6577) Prec@1 47.500 (55.550) Prec@5 82.500 (84.205) Epoch: [73][3420/11272] Time 0.744 (0.786) Data 0.001 (0.003) Loss 2.0629 (1.6578) Prec@1 48.125 (55.548) Prec@5 80.000 (84.204) Epoch: [73][3430/11272] Time 0.714 (0.786) Data 0.001 (0.003) Loss 1.5179 (1.6579) Prec@1 60.625 (55.547) Prec@5 86.875 (84.206) Epoch: [73][3440/11272] Time 0.859 (0.786) Data 0.002 (0.003) Loss 1.6745 (1.6580) Prec@1 47.500 (55.540) Prec@5 85.625 (84.208) Epoch: [73][3450/11272] Time 0.854 (0.786) Data 0.002 (0.003) Loss 1.6309 (1.6578) Prec@1 55.000 (55.537) Prec@5 84.375 (84.210) Epoch: [73][3460/11272] Time 0.716 (0.786) Data 0.001 (0.003) Loss 1.6839 (1.6579) Prec@1 51.875 (55.542) Prec@5 86.250 (84.207) Epoch: [73][3470/11272] Time 0.747 (0.786) Data 0.002 (0.003) Loss 1.5521 (1.6579) Prec@1 57.500 (55.543) Prec@5 86.250 (84.206) Epoch: [73][3480/11272] Time 0.905 (0.786) Data 0.003 (0.003) Loss 1.4351 (1.6578) Prec@1 63.125 (55.547) Prec@5 85.000 (84.208) Epoch: [73][3490/11272] Time 0.826 (0.786) Data 0.001 (0.003) Loss 1.6181 (1.6578) Prec@1 52.500 (55.548) Prec@5 85.000 (84.210) Epoch: [73][3500/11272] Time 0.704 (0.786) Data 0.002 (0.003) Loss 1.7004 (1.6579) Prec@1 55.000 (55.546) Prec@5 81.875 (84.210) Epoch: [73][3510/11272] Time 0.713 (0.786) Data 0.001 (0.003) Loss 1.3830 (1.6579) Prec@1 62.500 (55.543) Prec@5 89.375 (84.210) Epoch: [73][3520/11272] Time 0.841 (0.786) Data 0.001 (0.003) Loss 1.5834 (1.6580) Prec@1 57.500 (55.540) Prec@5 86.875 (84.209) Epoch: [73][3530/11272] Time 0.739 (0.786) Data 0.002 (0.003) Loss 1.6373 (1.6579) Prec@1 51.875 (55.540) Prec@5 83.750 (84.210) Epoch: [73][3540/11272] Time 0.721 (0.786) Data 0.001 (0.003) Loss 1.6783 (1.6580) Prec@1 55.625 (55.538) Prec@5 86.875 (84.210) Epoch: [73][3550/11272] Time 0.836 (0.786) Data 0.001 (0.003) Loss 1.7784 (1.6579) Prec@1 57.500 (55.537) Prec@5 80.625 (84.212) Epoch: [73][3560/11272] Time 0.869 (0.786) Data 0.002 (0.003) Loss 1.9063 (1.6581) Prec@1 46.875 (55.531) Prec@5 79.375 (84.209) Epoch: [73][3570/11272] Time 0.729 (0.786) Data 0.002 (0.003) Loss 1.5746 (1.6581) Prec@1 56.875 (55.530) Prec@5 85.625 (84.210) Epoch: [73][3580/11272] Time 0.727 (0.786) Data 0.002 (0.003) Loss 1.4089 (1.6580) Prec@1 60.000 (55.530) Prec@5 90.000 (84.210) Epoch: [73][3590/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.6972 (1.6582) Prec@1 50.000 (55.523) Prec@5 85.625 (84.209) Epoch: [73][3600/11272] Time 0.832 (0.786) Data 0.001 (0.003) Loss 1.7128 (1.6580) Prec@1 56.250 (55.531) Prec@5 83.125 (84.215) Epoch: [73][3610/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 1.7282 (1.6580) Prec@1 55.000 (55.530) Prec@5 81.250 (84.214) Epoch: [73][3620/11272] Time 0.715 (0.786) Data 0.001 (0.003) Loss 1.6061 (1.6581) Prec@1 58.125 (55.526) Prec@5 86.250 (84.213) Epoch: [73][3630/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.5965 (1.6580) Prec@1 51.875 (55.527) Prec@5 83.125 (84.211) Epoch: [73][3640/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.4990 (1.6578) Prec@1 60.000 (55.532) Prec@5 88.125 (84.213) Epoch: [73][3650/11272] Time 0.716 (0.786) Data 0.002 (0.002) Loss 1.6978 (1.6578) Prec@1 60.000 (55.535) Prec@5 85.000 (84.214) Epoch: [73][3660/11272] Time 0.807 (0.786) Data 0.001 (0.002) Loss 1.5446 (1.6578) Prec@1 60.000 (55.534) Prec@5 84.375 (84.214) Epoch: [73][3670/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.4269 (1.6577) Prec@1 56.875 (55.535) Prec@5 91.250 (84.215) Epoch: [73][3680/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.8203 (1.6577) Prec@1 51.875 (55.533) Prec@5 83.750 (84.214) Epoch: [73][3690/11272] Time 0.703 (0.786) Data 0.001 (0.002) Loss 1.6385 (1.6577) Prec@1 58.750 (55.535) Prec@5 81.250 (84.216) Epoch: [73][3700/11272] Time 0.817 (0.786) Data 0.002 (0.002) Loss 1.7336 (1.6576) Prec@1 58.125 (55.537) Prec@5 84.375 (84.218) Epoch: [73][3710/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.6134 (1.6575) Prec@1 56.875 (55.540) Prec@5 86.875 (84.220) Epoch: [73][3720/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 1.8241 (1.6577) Prec@1 56.875 (55.542) Prec@5 82.500 (84.219) Epoch: [73][3730/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.9228 (1.6577) Prec@1 47.500 (55.540) Prec@5 76.875 (84.220) Epoch: [73][3740/11272] Time 0.864 (0.786) Data 0.001 (0.002) Loss 1.9044 (1.6577) Prec@1 51.250 (55.543) Prec@5 81.875 (84.219) Epoch: [73][3750/11272] Time 0.886 (0.786) Data 0.002 (0.002) Loss 1.5090 (1.6577) Prec@1 58.125 (55.543) Prec@5 85.625 (84.218) Epoch: [73][3760/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.3508 (1.6577) Prec@1 61.875 (55.540) Prec@5 88.125 (84.219) Epoch: [73][3770/11272] Time 0.745 (0.786) Data 0.001 (0.002) Loss 1.8426 (1.6579) Prec@1 53.750 (55.537) Prec@5 78.750 (84.217) Epoch: [73][3780/11272] Time 0.851 (0.786) Data 0.001 (0.002) Loss 1.7548 (1.6580) Prec@1 50.625 (55.534) Prec@5 82.500 (84.214) Epoch: [73][3790/11272] Time 0.718 (0.786) Data 0.003 (0.002) Loss 1.6012 (1.6580) Prec@1 56.875 (55.535) Prec@5 85.000 (84.215) Epoch: [73][3800/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6462 (1.6582) Prec@1 57.500 (55.535) Prec@5 81.250 (84.210) Epoch: [73][3810/11272] Time 0.804 (0.786) Data 0.001 (0.002) Loss 1.3526 (1.6582) Prec@1 63.750 (55.538) Prec@5 90.000 (84.214) Epoch: [73][3820/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.7832 (1.6583) Prec@1 53.125 (55.531) Prec@5 83.125 (84.213) Epoch: [73][3830/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 2.0109 (1.6585) Prec@1 47.500 (55.525) Prec@5 78.750 (84.209) Epoch: [73][3840/11272] Time 0.752 (0.786) Data 0.002 (0.002) Loss 1.6979 (1.6585) Prec@1 53.750 (55.524) Prec@5 85.000 (84.210) Epoch: [73][3850/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.1875 (1.6585) Prec@1 68.125 (55.528) Prec@5 90.625 (84.213) Epoch: [73][3860/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.8163 (1.6585) Prec@1 53.125 (55.529) Prec@5 78.750 (84.213) Epoch: [73][3870/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.6906 (1.6584) Prec@1 51.875 (55.525) Prec@5 82.500 (84.215) Epoch: [73][3880/11272] Time 0.755 (0.786) Data 0.002 (0.002) Loss 1.8705 (1.6587) Prec@1 50.000 (55.515) Prec@5 79.375 (84.209) Epoch: [73][3890/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.6335 (1.6586) Prec@1 54.375 (55.519) Prec@5 82.500 (84.208) Epoch: [73][3900/11272] Time 0.880 (0.786) Data 0.002 (0.002) Loss 1.6800 (1.6585) Prec@1 53.125 (55.522) Prec@5 83.750 (84.210) Epoch: [73][3910/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.7370 (1.6586) Prec@1 54.375 (55.519) Prec@5 84.375 (84.208) Epoch: [73][3920/11272] Time 0.824 (0.786) Data 0.002 (0.002) Loss 1.6183 (1.6588) Prec@1 59.375 (55.518) Prec@5 85.625 (84.205) Epoch: [73][3930/11272] Time 0.846 (0.786) Data 0.002 (0.002) Loss 1.9398 (1.6589) Prec@1 50.000 (55.519) Prec@5 80.000 (84.202) Epoch: [73][3940/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.8340 (1.6591) Prec@1 51.875 (55.511) Prec@5 81.875 (84.197) Epoch: [73][3950/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.5040 (1.6592) Prec@1 58.125 (55.510) Prec@5 87.500 (84.200) Epoch: [73][3960/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.7249 (1.6592) Prec@1 50.000 (55.509) Prec@5 81.250 (84.198) Epoch: [73][3970/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.3650 (1.6592) Prec@1 63.125 (55.513) Prec@5 86.250 (84.196) Epoch: [73][3980/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 1.8667 (1.6593) Prec@1 46.250 (55.508) Prec@5 80.625 (84.193) Epoch: [73][3990/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.6368 (1.6595) Prec@1 55.625 (55.505) Prec@5 84.375 (84.189) Epoch: [73][4000/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.5368 (1.6594) Prec@1 60.625 (55.505) Prec@5 88.125 (84.192) Epoch: [73][4010/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.5331 (1.6596) Prec@1 60.625 (55.499) Prec@5 85.625 (84.188) Epoch: [73][4020/11272] Time 0.689 (0.786) Data 0.001 (0.002) Loss 1.6124 (1.6594) Prec@1 50.625 (55.497) Prec@5 85.625 (84.191) Epoch: [73][4030/11272] Time 0.723 (0.786) Data 0.000 (0.002) Loss 1.7331 (1.6593) Prec@1 51.250 (55.499) Prec@5 81.875 (84.193) Epoch: [73][4040/11272] Time 0.801 (0.786) Data 0.001 (0.002) Loss 1.6538 (1.6592) Prec@1 58.125 (55.505) Prec@5 84.375 (84.193) Epoch: [73][4050/11272] Time 0.750 (0.786) Data 0.003 (0.002) Loss 1.6809 (1.6592) Prec@1 50.000 (55.505) Prec@5 85.000 (84.192) Epoch: [73][4060/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.9549 (1.6592) Prec@1 53.125 (55.505) Prec@5 78.125 (84.194) Epoch: [73][4070/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 2.1624 (1.6592) Prec@1 43.750 (55.507) Prec@5 78.750 (84.193) Epoch: [73][4080/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.6199 (1.6593) Prec@1 56.250 (55.507) Prec@5 84.375 (84.193) Epoch: [73][4090/11272] Time 0.717 (0.786) Data 0.002 (0.002) Loss 1.5549 (1.6594) Prec@1 58.125 (55.504) Prec@5 87.500 (84.192) Epoch: [73][4100/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.6594 (1.6594) Prec@1 51.875 (55.506) Prec@5 83.750 (84.192) Epoch: [73][4110/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.7095 (1.6594) Prec@1 54.375 (55.507) Prec@5 84.375 (84.191) Epoch: [73][4120/11272] Time 0.853 (0.786) Data 0.002 (0.002) Loss 1.5180 (1.6594) Prec@1 55.000 (55.507) Prec@5 86.875 (84.193) Epoch: [73][4130/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.7527 (1.6596) Prec@1 50.000 (55.503) Prec@5 81.250 (84.190) Epoch: [73][4140/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.6913 (1.6597) Prec@1 55.625 (55.498) Prec@5 85.000 (84.187) Epoch: [73][4150/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 1.5313 (1.6597) Prec@1 60.625 (55.498) Prec@5 88.125 (84.187) Epoch: [73][4160/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8006 (1.6598) Prec@1 58.125 (55.498) Prec@5 81.250 (84.185) Epoch: [73][4170/11272] Time 0.706 (0.786) Data 0.001 (0.002) Loss 1.4611 (1.6598) Prec@1 58.750 (55.500) Prec@5 88.125 (84.182) Epoch: [73][4180/11272] Time 0.794 (0.786) Data 0.001 (0.002) Loss 1.5770 (1.6597) Prec@1 59.375 (55.499) Prec@5 82.500 (84.183) Epoch: [73][4190/11272] Time 0.825 (0.786) Data 0.002 (0.002) Loss 1.6221 (1.6597) Prec@1 61.250 (55.498) Prec@5 85.000 (84.183) Epoch: [73][4200/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.5160 (1.6596) Prec@1 56.875 (55.497) Prec@5 86.875 (84.187) Epoch: [73][4210/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.8419 (1.6594) Prec@1 46.875 (55.502) Prec@5 83.125 (84.192) Epoch: [73][4220/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.7390 (1.6594) Prec@1 53.125 (55.502) Prec@5 83.750 (84.192) Epoch: [73][4230/11272] Time 0.868 (0.786) Data 0.002 (0.002) Loss 1.6006 (1.6595) Prec@1 53.125 (55.499) Prec@5 83.125 (84.193) Epoch: [73][4240/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.8129 (1.6598) Prec@1 54.375 (55.495) Prec@5 80.625 (84.188) Epoch: [73][4250/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.6953 (1.6599) Prec@1 56.875 (55.492) Prec@5 80.625 (84.184) Epoch: [73][4260/11272] Time 0.844 (0.786) Data 0.002 (0.002) Loss 1.6620 (1.6600) Prec@1 55.625 (55.492) Prec@5 84.375 (84.183) Epoch: [73][4270/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.8663 (1.6599) Prec@1 48.750 (55.494) Prec@5 78.750 (84.184) Epoch: [73][4280/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.6164 (1.6601) Prec@1 55.625 (55.491) Prec@5 85.625 (84.181) Epoch: [73][4290/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 2.0177 (1.6601) Prec@1 44.375 (55.488) Prec@5 77.500 (84.179) Epoch: [73][4300/11272] Time 0.788 (0.786) Data 0.001 (0.002) Loss 1.6726 (1.6601) Prec@1 51.875 (55.488) Prec@5 83.750 (84.180) Epoch: [73][4310/11272] Time 0.882 (0.786) Data 0.002 (0.002) Loss 1.5406 (1.6600) Prec@1 55.625 (55.489) Prec@5 85.000 (84.179) Epoch: [73][4320/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.7386 (1.6600) Prec@1 50.625 (55.488) Prec@5 82.500 (84.179) Epoch: [73][4330/11272] Time 0.854 (0.786) Data 0.002 (0.002) Loss 1.6331 (1.6600) Prec@1 55.625 (55.485) Prec@5 86.250 (84.180) Epoch: [73][4340/11272] Time 0.833 (0.786) Data 0.002 (0.002) Loss 1.5701 (1.6599) Prec@1 58.750 (55.488) Prec@5 83.750 (84.180) Epoch: [73][4350/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 1.4979 (1.6598) Prec@1 61.250 (55.490) Prec@5 85.625 (84.179) Epoch: [73][4360/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.5741 (1.6599) Prec@1 55.000 (55.490) Prec@5 84.375 (84.179) Epoch: [73][4370/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.4134 (1.6598) Prec@1 60.000 (55.495) Prec@5 90.625 (84.181) Epoch: [73][4380/11272] Time 0.811 (0.786) Data 0.001 (0.002) Loss 1.6976 (1.6597) Prec@1 48.750 (55.494) Prec@5 83.125 (84.181) Epoch: [73][4390/11272] Time 0.737 (0.786) Data 0.003 (0.002) Loss 1.4142 (1.6596) Prec@1 61.875 (55.496) Prec@5 90.000 (84.181) Epoch: [73][4400/11272] Time 0.731 (0.786) Data 0.001 (0.002) Loss 1.7127 (1.6596) Prec@1 56.875 (55.498) Prec@5 81.875 (84.181) Epoch: [73][4410/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.6017 (1.6597) Prec@1 58.125 (55.493) Prec@5 83.750 (84.183) Epoch: [73][4420/11272] Time 0.879 (0.786) Data 0.002 (0.002) Loss 1.8416 (1.6598) Prec@1 50.000 (55.489) Prec@5 80.625 (84.181) Epoch: [73][4430/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 1.3099 (1.6599) Prec@1 60.625 (55.485) Prec@5 89.375 (84.180) Epoch: [73][4440/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.5928 (1.6598) Prec@1 58.125 (55.489) Prec@5 82.500 (84.180) Epoch: [73][4450/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.6096 (1.6599) Prec@1 56.875 (55.488) Prec@5 86.875 (84.180) Epoch: [73][4460/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.6158 (1.6598) Prec@1 58.125 (55.492) Prec@5 83.125 (84.181) Epoch: [73][4470/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.6457 (1.6598) Prec@1 56.250 (55.495) Prec@5 86.250 (84.182) Epoch: [73][4480/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.6855 (1.6600) Prec@1 53.125 (55.494) Prec@5 80.000 (84.178) Epoch: [73][4490/11272] Time 0.786 (0.786) Data 0.001 (0.002) Loss 1.6157 (1.6601) Prec@1 58.750 (55.496) Prec@5 86.875 (84.177) Epoch: [73][4500/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.6192 (1.6602) Prec@1 54.375 (55.491) Prec@5 86.875 (84.176) Epoch: [73][4510/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.4464 (1.6601) Prec@1 59.375 (55.490) Prec@5 86.875 (84.178) Epoch: [73][4520/11272] Time 0.877 (0.786) Data 0.001 (0.002) Loss 1.8790 (1.6601) Prec@1 52.500 (55.494) Prec@5 82.500 (84.179) Epoch: [73][4530/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.7557 (1.6601) Prec@1 45.000 (55.489) Prec@5 83.750 (84.178) Epoch: [73][4540/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.4963 (1.6603) Prec@1 61.875 (55.486) Prec@5 85.000 (84.175) Epoch: [73][4550/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.6150 (1.6604) Prec@1 54.375 (55.484) Prec@5 85.625 (84.175) Epoch: [73][4560/11272] Time 0.853 (0.786) Data 0.002 (0.002) Loss 1.7102 (1.6605) Prec@1 56.250 (55.484) Prec@5 84.375 (84.173) Epoch: [73][4570/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.6016 (1.6604) Prec@1 58.750 (55.485) Prec@5 83.125 (84.175) Epoch: [73][4580/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.8379 (1.6605) Prec@1 50.000 (55.485) Prec@5 79.375 (84.173) Epoch: [73][4590/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 1.9151 (1.6605) Prec@1 51.250 (55.483) Prec@5 83.750 (84.173) Epoch: [73][4600/11272] Time 0.832 (0.786) Data 0.002 (0.002) Loss 1.7486 (1.6604) Prec@1 52.500 (55.483) Prec@5 83.750 (84.176) Epoch: [73][4610/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.7698 (1.6605) Prec@1 55.625 (55.483) Prec@5 81.875 (84.176) Epoch: [73][4620/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.5927 (1.6607) Prec@1 56.875 (55.480) Prec@5 85.000 (84.171) Epoch: [73][4630/11272] Time 0.874 (0.786) Data 0.002 (0.002) Loss 1.5650 (1.6606) Prec@1 57.500 (55.481) Prec@5 83.125 (84.172) Epoch: [73][4640/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.5790 (1.6608) Prec@1 57.500 (55.477) Prec@5 85.625 (84.169) Epoch: [73][4650/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.4685 (1.6607) Prec@1 57.500 (55.480) Prec@5 87.500 (84.171) Epoch: [73][4660/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.5800 (1.6606) Prec@1 53.750 (55.482) Prec@5 86.250 (84.174) Epoch: [73][4670/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.6542 (1.6606) Prec@1 58.125 (55.482) Prec@5 85.625 (84.175) Epoch: [73][4680/11272] Time 0.790 (0.786) Data 0.001 (0.002) Loss 2.0208 (1.6608) Prec@1 50.625 (55.478) Prec@5 78.125 (84.174) Epoch: [73][4690/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.7340 (1.6606) Prec@1 56.250 (55.484) Prec@5 81.875 (84.178) Epoch: [73][4700/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.5469 (1.6606) Prec@1 56.875 (55.482) Prec@5 89.375 (84.181) Epoch: [73][4710/11272] Time 0.832 (0.786) Data 0.002 (0.002) Loss 1.5896 (1.6607) Prec@1 58.125 (55.480) Prec@5 85.000 (84.180) Epoch: [73][4720/11272] Time 0.718 (0.786) Data 0.003 (0.002) Loss 1.9211 (1.6607) Prec@1 51.250 (55.480) Prec@5 78.125 (84.178) Epoch: [73][4730/11272] Time 0.774 (0.786) Data 0.002 (0.002) Loss 1.6903 (1.6606) Prec@1 52.500 (55.482) Prec@5 86.250 (84.178) Epoch: [73][4740/11272] Time 0.813 (0.786) Data 0.002 (0.002) Loss 1.9306 (1.6607) Prec@1 47.500 (55.482) Prec@5 80.625 (84.178) Epoch: [73][4750/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.9015 (1.6607) Prec@1 51.250 (55.478) Prec@5 80.000 (84.177) Epoch: [73][4760/11272] Time 0.701 (0.786) Data 0.001 (0.002) Loss 1.8128 (1.6608) Prec@1 53.750 (55.477) Prec@5 81.250 (84.174) Epoch: [73][4770/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.5848 (1.6608) Prec@1 55.625 (55.475) Prec@5 83.750 (84.172) Epoch: [73][4780/11272] Time 0.831 (0.786) Data 0.001 (0.002) Loss 1.6893 (1.6607) Prec@1 53.125 (55.477) Prec@5 86.875 (84.176) Epoch: [73][4790/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.5578 (1.6607) Prec@1 56.250 (55.473) Prec@5 88.125 (84.178) Epoch: [73][4800/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.5029 (1.6606) Prec@1 63.750 (55.476) Prec@5 85.625 (84.179) Epoch: [73][4810/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.9903 (1.6606) Prec@1 44.375 (55.476) Prec@5 78.125 (84.181) Epoch: [73][4820/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.4763 (1.6606) Prec@1 57.500 (55.476) Prec@5 86.875 (84.180) Epoch: [73][4830/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.7977 (1.6604) Prec@1 51.875 (55.480) Prec@5 84.375 (84.183) Epoch: [73][4840/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.7698 (1.6606) Prec@1 54.375 (55.477) Prec@5 80.625 (84.179) Epoch: [73][4850/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.6971 (1.6605) Prec@1 60.625 (55.481) Prec@5 82.500 (84.180) Epoch: [73][4860/11272] Time 0.857 (0.786) Data 0.002 (0.002) Loss 1.6449 (1.6604) Prec@1 60.000 (55.485) Prec@5 81.875 (84.180) Epoch: [73][4870/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.5013 (1.6605) Prec@1 58.750 (55.483) Prec@5 87.500 (84.181) Epoch: [73][4880/11272] Time 0.717 (0.786) Data 0.002 (0.002) Loss 1.5060 (1.6604) Prec@1 61.875 (55.487) Prec@5 86.875 (84.183) Epoch: [73][4890/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 1.7127 (1.6603) Prec@1 54.375 (55.489) Prec@5 87.500 (84.184) Epoch: [73][4900/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.4282 (1.6603) Prec@1 61.250 (55.489) Prec@5 88.750 (84.183) Epoch: [73][4910/11272] Time 0.743 (0.786) Data 0.002 (0.002) Loss 1.7314 (1.6602) Prec@1 54.375 (55.491) Prec@5 86.875 (84.186) Epoch: [73][4920/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.5547 (1.6602) Prec@1 55.625 (55.487) Prec@5 88.750 (84.184) Epoch: [73][4930/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.8317 (1.6604) Prec@1 50.625 (55.482) Prec@5 81.250 (84.181) Epoch: [73][4940/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 1.9076 (1.6605) Prec@1 48.750 (55.478) Prec@5 80.625 (84.181) Epoch: [73][4950/11272] Time 0.736 (0.786) Data 0.002 (0.002) Loss 1.7338 (1.6605) Prec@1 46.875 (55.477) Prec@5 84.375 (84.182) Epoch: [73][4960/11272] Time 0.733 (0.786) Data 0.001 (0.002) Loss 1.5930 (1.6604) Prec@1 54.375 (55.479) Prec@5 86.250 (84.182) Epoch: [73][4970/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.6440 (1.6604) Prec@1 58.750 (55.479) Prec@5 83.125 (84.184) Epoch: [73][4980/11272] Time 0.740 (0.786) Data 0.003 (0.002) Loss 1.8258 (1.6606) Prec@1 49.375 (55.473) Prec@5 81.250 (84.183) Epoch: [73][4990/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.6644 (1.6606) Prec@1 54.375 (55.471) Prec@5 79.375 (84.182) Epoch: [73][5000/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.6571 (1.6605) Prec@1 53.750 (55.469) Prec@5 84.375 (84.184) Epoch: [73][5010/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.8675 (1.6605) Prec@1 53.125 (55.469) Prec@5 77.500 (84.182) Epoch: [73][5020/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7245 (1.6605) Prec@1 56.875 (55.475) Prec@5 81.250 (84.181) Epoch: [73][5030/11272] Time 0.693 (0.786) Data 0.001 (0.002) Loss 1.6184 (1.6604) Prec@1 54.375 (55.475) Prec@5 85.000 (84.183) Epoch: [73][5040/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.5694 (1.6603) Prec@1 56.250 (55.476) Prec@5 88.750 (84.184) Epoch: [73][5050/11272] Time 0.908 (0.786) Data 0.001 (0.002) Loss 1.6825 (1.6604) Prec@1 55.000 (55.474) Prec@5 83.125 (84.183) Epoch: [73][5060/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 1.5082 (1.6603) Prec@1 63.750 (55.478) Prec@5 83.750 (84.185) Epoch: [73][5070/11272] Time 0.744 (0.786) Data 0.001 (0.002) Loss 1.7069 (1.6604) Prec@1 56.250 (55.476) Prec@5 82.500 (84.182) Epoch: [73][5080/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 1.6137 (1.6605) Prec@1 56.250 (55.476) Prec@5 83.125 (84.179) Epoch: [73][5090/11272] Time 0.811 (0.786) Data 0.001 (0.002) Loss 1.6431 (1.6606) Prec@1 54.375 (55.474) Prec@5 81.875 (84.177) Epoch: [73][5100/11272] Time 0.709 (0.786) Data 0.001 (0.002) Loss 1.4239 (1.6606) Prec@1 58.125 (55.473) Prec@5 86.875 (84.176) Epoch: [73][5110/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.6315 (1.6606) Prec@1 52.500 (55.473) Prec@5 84.375 (84.177) Epoch: [73][5120/11272] Time 0.851 (0.786) Data 0.002 (0.002) Loss 1.7525 (1.6606) Prec@1 52.500 (55.474) Prec@5 83.750 (84.179) Epoch: [73][5130/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.5525 (1.6606) Prec@1 58.750 (55.473) Prec@5 88.125 (84.178) Epoch: [73][5140/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.6885 (1.6607) Prec@1 50.625 (55.468) Prec@5 85.000 (84.178) Epoch: [73][5150/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.9350 (1.6608) Prec@1 48.125 (55.466) Prec@5 80.625 (84.176) Epoch: [73][5160/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.6217 (1.6607) Prec@1 53.125 (55.467) Prec@5 89.375 (84.177) Epoch: [73][5170/11272] Time 0.754 (0.786) Data 0.001 (0.002) Loss 1.5174 (1.6608) Prec@1 59.375 (55.466) Prec@5 85.000 (84.175) Epoch: [73][5180/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.5455 (1.6608) Prec@1 59.375 (55.464) Prec@5 85.000 (84.175) Epoch: [73][5190/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 1.4602 (1.6607) Prec@1 60.000 (55.467) Prec@5 89.375 (84.176) Epoch: [73][5200/11272] Time 0.826 (0.786) Data 0.002 (0.002) Loss 1.7806 (1.6607) Prec@1 51.875 (55.466) Prec@5 84.375 (84.178) Epoch: [73][5210/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.4730 (1.6607) Prec@1 57.500 (55.467) Prec@5 88.125 (84.177) Epoch: [73][5220/11272] Time 0.701 (0.786) Data 0.001 (0.002) Loss 1.6758 (1.6608) Prec@1 53.750 (55.465) Prec@5 87.500 (84.177) Epoch: [73][5230/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.5982 (1.6609) Prec@1 56.250 (55.462) Prec@5 84.375 (84.177) Epoch: [73][5240/11272] Time 0.865 (0.786) Data 0.002 (0.002) Loss 1.6625 (1.6610) Prec@1 54.375 (55.461) Prec@5 87.500 (84.177) Epoch: [73][5250/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.4915 (1.6609) Prec@1 61.875 (55.463) Prec@5 86.250 (84.181) Epoch: [73][5260/11272] Time 0.833 (0.786) Data 0.002 (0.002) Loss 1.7378 (1.6609) Prec@1 59.375 (55.464) Prec@5 81.875 (84.182) Epoch: [73][5270/11272] Time 0.845 (0.786) Data 0.002 (0.002) Loss 1.9842 (1.6609) Prec@1 48.125 (55.463) Prec@5 78.125 (84.180) Epoch: [73][5280/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.6528 (1.6610) Prec@1 56.250 (55.462) Prec@5 84.375 (84.177) Epoch: [73][5290/11272] Time 0.744 (0.786) Data 0.002 (0.002) Loss 1.5910 (1.6611) Prec@1 52.500 (55.459) Prec@5 88.125 (84.175) Epoch: [73][5300/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.8127 (1.6611) Prec@1 53.125 (55.458) Prec@5 83.750 (84.175) Epoch: [73][5310/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.6016 (1.6611) Prec@1 56.875 (55.457) Prec@5 85.000 (84.175) Epoch: [73][5320/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.7420 (1.6611) Prec@1 53.125 (55.453) Prec@5 83.125 (84.176) Epoch: [73][5330/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7487 (1.6611) Prec@1 55.625 (55.454) Prec@5 81.875 (84.177) Epoch: [73][5340/11272] Time 0.870 (0.786) Data 0.002 (0.002) Loss 2.0097 (1.6611) Prec@1 45.625 (55.453) Prec@5 76.875 (84.175) Epoch: [73][5350/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 1.5683 (1.6611) Prec@1 52.500 (55.456) Prec@5 86.875 (84.175) Epoch: [73][5360/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.5908 (1.6611) Prec@1 51.875 (55.455) Prec@5 88.750 (84.174) Epoch: [73][5370/11272] Time 0.771 (0.786) Data 0.002 (0.002) Loss 1.7131 (1.6610) Prec@1 56.875 (55.459) Prec@5 83.750 (84.176) Epoch: [73][5380/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.5701 (1.6610) Prec@1 60.000 (55.457) Prec@5 85.000 (84.177) Epoch: [73][5390/11272] Time 0.718 (0.786) Data 0.001 (0.002) Loss 1.7889 (1.6610) Prec@1 57.500 (55.455) Prec@5 84.375 (84.177) Epoch: [73][5400/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6498 (1.6611) Prec@1 52.500 (55.452) Prec@5 85.625 (84.176) Epoch: [73][5410/11272] Time 0.835 (0.786) Data 0.001 (0.002) Loss 1.6309 (1.6611) Prec@1 54.375 (55.455) Prec@5 85.000 (84.176) Epoch: [73][5420/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.8590 (1.6611) Prec@1 52.500 (55.453) Prec@5 82.500 (84.177) Epoch: [73][5430/11272] Time 0.704 (0.786) Data 0.001 (0.002) Loss 1.6354 (1.6610) Prec@1 56.250 (55.454) Prec@5 85.625 (84.178) Epoch: [73][5440/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.6453 (1.6612) Prec@1 56.250 (55.451) Prec@5 85.625 (84.178) Epoch: [73][5450/11272] Time 0.845 (0.786) Data 0.002 (0.002) Loss 1.7142 (1.6613) Prec@1 51.875 (55.449) Prec@5 82.500 (84.177) Epoch: [73][5460/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.9184 (1.6613) Prec@1 51.250 (55.448) Prec@5 78.750 (84.177) Epoch: [73][5470/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.4722 (1.6612) Prec@1 58.750 (55.450) Prec@5 86.875 (84.177) Epoch: [73][5480/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.5856 (1.6612) Prec@1 55.000 (55.448) Prec@5 87.500 (84.177) Epoch: [73][5490/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.8762 (1.6612) Prec@1 51.875 (55.450) Prec@5 81.250 (84.177) Epoch: [73][5500/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.7812 (1.6613) Prec@1 55.000 (55.447) Prec@5 83.750 (84.178) Epoch: [73][5510/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.6743 (1.6614) Prec@1 54.375 (55.444) Prec@5 85.000 (84.179) Epoch: [73][5520/11272] Time 0.883 (0.786) Data 0.001 (0.002) Loss 1.7759 (1.6615) Prec@1 54.375 (55.443) Prec@5 84.375 (84.177) Epoch: [73][5530/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.6318 (1.6615) Prec@1 56.250 (55.441) Prec@5 87.500 (84.179) Epoch: [73][5540/11272] Time 0.761 (0.786) Data 0.001 (0.002) Loss 1.7860 (1.6614) Prec@1 53.125 (55.442) Prec@5 79.375 (84.180) Epoch: [73][5550/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.4279 (1.6615) Prec@1 62.500 (55.440) Prec@5 88.125 (84.179) Epoch: [73][5560/11272] Time 0.790 (0.786) Data 0.001 (0.002) Loss 1.7056 (1.6615) Prec@1 55.625 (55.437) Prec@5 81.250 (84.178) Epoch: [73][5570/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.4776 (1.6615) Prec@1 61.250 (55.438) Prec@5 88.125 (84.178) Epoch: [73][5580/11272] Time 0.707 (0.786) Data 0.001 (0.002) Loss 1.5041 (1.6614) Prec@1 63.125 (55.442) Prec@5 83.125 (84.177) Epoch: [73][5590/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.9832 (1.6615) Prec@1 44.375 (55.441) Prec@5 80.625 (84.176) Epoch: [73][5600/11272] Time 0.862 (0.786) Data 0.002 (0.002) Loss 1.7844 (1.6613) Prec@1 51.875 (55.443) Prec@5 81.250 (84.178) Epoch: [73][5610/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 1.7874 (1.6614) Prec@1 54.375 (55.442) Prec@5 84.375 (84.179) Epoch: [73][5620/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.5733 (1.6615) Prec@1 54.375 (55.438) Prec@5 83.750 (84.176) Epoch: [73][5630/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.5597 (1.6614) Prec@1 56.875 (55.440) Prec@5 82.500 (84.176) Epoch: [73][5640/11272] Time 0.864 (0.786) Data 0.001 (0.002) Loss 1.5001 (1.6615) Prec@1 67.500 (55.441) Prec@5 84.375 (84.176) Epoch: [73][5650/11272] Time 0.729 (0.786) Data 0.003 (0.002) Loss 1.8467 (1.6615) Prec@1 53.125 (55.444) Prec@5 80.625 (84.177) Epoch: [73][5660/11272] Time 0.723 (0.786) Data 0.002 (0.002) Loss 1.5410 (1.6616) Prec@1 58.125 (55.443) Prec@5 89.375 (84.176) Epoch: [73][5670/11272] Time 0.833 (0.786) Data 0.002 (0.002) Loss 1.5890 (1.6614) Prec@1 56.875 (55.447) Prec@5 84.375 (84.177) Epoch: [73][5680/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.8128 (1.6615) Prec@1 51.875 (55.445) Prec@5 86.875 (84.177) Epoch: [73][5690/11272] Time 0.694 (0.786) Data 0.001 (0.002) Loss 1.6713 (1.6615) Prec@1 55.000 (55.443) Prec@5 84.375 (84.175) Epoch: [73][5700/11272] Time 0.736 (0.786) Data 0.002 (0.002) Loss 1.6299 (1.6616) Prec@1 50.625 (55.439) Prec@5 85.000 (84.176) Epoch: [73][5710/11272] Time 0.819 (0.786) Data 0.002 (0.002) Loss 1.5436 (1.6617) Prec@1 57.500 (55.438) Prec@5 86.250 (84.174) Epoch: [73][5720/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.6446 (1.6617) Prec@1 57.500 (55.435) Prec@5 85.000 (84.174) Epoch: [73][5730/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.7674 (1.6617) Prec@1 54.375 (55.435) Prec@5 83.125 (84.175) Epoch: [73][5740/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.6210 (1.6617) Prec@1 56.875 (55.436) Prec@5 83.750 (84.173) Epoch: [73][5750/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.4249 (1.6617) Prec@1 60.625 (55.437) Prec@5 88.125 (84.174) Epoch: [73][5760/11272] Time 0.788 (0.786) Data 0.001 (0.002) Loss 1.8186 (1.6615) Prec@1 51.875 (55.442) Prec@5 80.000 (84.175) Epoch: [73][5770/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6762 (1.6615) Prec@1 53.750 (55.441) Prec@5 82.500 (84.176) Epoch: [73][5780/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.5934 (1.6615) Prec@1 58.125 (55.440) Prec@5 86.875 (84.177) Epoch: [73][5790/11272] Time 0.830 (0.786) Data 0.002 (0.002) Loss 1.8729 (1.6616) Prec@1 46.875 (55.437) Prec@5 81.875 (84.176) Epoch: [73][5800/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.5486 (1.6616) Prec@1 56.875 (55.436) Prec@5 86.250 (84.176) Epoch: [73][5810/11272] Time 0.732 (0.786) Data 0.001 (0.002) Loss 1.9430 (1.6617) Prec@1 44.375 (55.435) Prec@5 80.000 (84.175) Epoch: [73][5820/11272] Time 0.876 (0.786) Data 0.002 (0.002) Loss 1.6220 (1.6616) Prec@1 57.500 (55.437) Prec@5 84.375 (84.175) Epoch: [73][5830/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 1.4906 (1.6616) Prec@1 61.250 (55.436) Prec@5 88.750 (84.174) Epoch: [73][5840/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.5545 (1.6615) Prec@1 58.750 (55.439) Prec@5 85.000 (84.176) Epoch: [73][5850/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.4601 (1.6615) Prec@1 61.250 (55.440) Prec@5 90.000 (84.177) Epoch: [73][5860/11272] Time 0.891 (0.786) Data 0.002 (0.002) Loss 1.7990 (1.6616) Prec@1 49.375 (55.439) Prec@5 83.125 (84.175) Epoch: [73][5870/11272] Time 0.844 (0.785) Data 0.002 (0.002) Loss 1.7444 (1.6616) Prec@1 56.875 (55.438) Prec@5 81.875 (84.176) Epoch: [73][5880/11272] Time 0.708 (0.785) Data 0.001 (0.002) Loss 1.5462 (1.6616) Prec@1 56.875 (55.437) Prec@5 83.125 (84.174) Epoch: [73][5890/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 1.5087 (1.6617) Prec@1 60.000 (55.436) Prec@5 85.625 (84.174) Epoch: [73][5900/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.7343 (1.6617) Prec@1 54.375 (55.436) Prec@5 83.750 (84.172) Epoch: [73][5910/11272] Time 0.723 (0.785) Data 0.003 (0.002) Loss 1.6455 (1.6617) Prec@1 53.125 (55.438) Prec@5 84.375 (84.173) Epoch: [73][5920/11272] Time 0.708 (0.786) Data 0.001 (0.002) Loss 1.4256 (1.6616) Prec@1 59.375 (55.438) Prec@5 91.250 (84.175) Epoch: [73][5930/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.8898 (1.6617) Prec@1 51.875 (55.434) Prec@5 78.125 (84.172) Epoch: [73][5940/11272] Time 0.837 (0.785) Data 0.001 (0.002) Loss 1.5702 (1.6616) Prec@1 53.750 (55.435) Prec@5 86.250 (84.172) Epoch: [73][5950/11272] Time 0.762 (0.785) Data 0.002 (0.002) Loss 1.6291 (1.6616) Prec@1 54.375 (55.438) Prec@5 85.000 (84.173) Epoch: [73][5960/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 1.6303 (1.6616) Prec@1 54.375 (55.437) Prec@5 83.125 (84.173) Epoch: [73][5970/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.6022 (1.6617) Prec@1 52.500 (55.436) Prec@5 86.250 (84.171) Epoch: [73][5980/11272] Time 0.824 (0.785) Data 0.002 (0.002) Loss 1.3375 (1.6616) Prec@1 63.125 (55.440) Prec@5 88.750 (84.171) Epoch: [73][5990/11272] Time 0.707 (0.785) Data 0.001 (0.002) Loss 1.9469 (1.6617) Prec@1 51.250 (55.438) Prec@5 78.750 (84.168) Epoch: [73][6000/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 1.7773 (1.6618) Prec@1 53.125 (55.435) Prec@5 82.500 (84.165) Epoch: [73][6010/11272] Time 0.817 (0.785) Data 0.001 (0.002) Loss 1.6603 (1.6618) Prec@1 58.125 (55.435) Prec@5 80.000 (84.165) Epoch: [73][6020/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.5173 (1.6617) Prec@1 53.750 (55.436) Prec@5 87.500 (84.168) Epoch: [73][6030/11272] Time 0.709 (0.785) Data 0.001 (0.002) Loss 1.7685 (1.6618) Prec@1 57.500 (55.432) Prec@5 81.250 (84.167) Epoch: [73][6040/11272] Time 0.859 (0.785) Data 0.001 (0.002) Loss 1.4971 (1.6618) Prec@1 61.250 (55.432) Prec@5 88.750 (84.166) Epoch: [73][6050/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.7015 (1.6617) Prec@1 53.125 (55.436) Prec@5 79.375 (84.169) Epoch: [73][6060/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.7036 (1.6618) Prec@1 56.875 (55.436) Prec@5 85.000 (84.166) Epoch: [73][6070/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.7152 (1.6618) Prec@1 59.375 (55.435) Prec@5 81.875 (84.166) Epoch: [73][6080/11272] Time 0.854 (0.785) Data 0.002 (0.002) Loss 1.8740 (1.6618) Prec@1 53.125 (55.436) Prec@5 77.500 (84.166) Epoch: [73][6090/11272] Time 0.821 (0.785) Data 0.002 (0.002) Loss 1.6135 (1.6617) Prec@1 55.625 (55.439) Prec@5 79.375 (84.166) Epoch: [73][6100/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.6483 (1.6618) Prec@1 53.125 (55.437) Prec@5 84.375 (84.165) Epoch: [73][6110/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.8432 (1.6618) Prec@1 55.000 (55.440) Prec@5 76.875 (84.162) Epoch: [73][6120/11272] Time 0.913 (0.785) Data 0.002 (0.002) Loss 1.5241 (1.6617) Prec@1 62.500 (55.441) Prec@5 88.125 (84.164) Epoch: [73][6130/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.5727 (1.6618) Prec@1 55.625 (55.438) Prec@5 83.750 (84.160) Epoch: [73][6140/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.9468 (1.6618) Prec@1 45.000 (55.437) Prec@5 76.875 (84.160) Epoch: [73][6150/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.7382 (1.6618) Prec@1 55.000 (55.436) Prec@5 85.000 (84.161) Epoch: [73][6160/11272] Time 0.829 (0.785) Data 0.002 (0.002) Loss 1.8268 (1.6619) Prec@1 52.500 (55.433) Prec@5 81.875 (84.159) Epoch: [73][6170/11272] Time 0.818 (0.785) Data 0.002 (0.002) Loss 1.5918 (1.6620) Prec@1 55.000 (55.431) Prec@5 83.750 (84.157) Epoch: [73][6180/11272] Time 0.704 (0.785) Data 0.001 (0.002) Loss 1.6728 (1.6620) Prec@1 58.750 (55.431) Prec@5 85.000 (84.159) Epoch: [73][6190/11272] Time 0.952 (0.785) Data 0.002 (0.002) Loss 1.6665 (1.6620) Prec@1 55.625 (55.433) Prec@5 83.750 (84.158) Epoch: [73][6200/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.5944 (1.6619) Prec@1 55.625 (55.434) Prec@5 83.125 (84.158) Epoch: [73][6210/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.9078 (1.6619) Prec@1 49.375 (55.434) Prec@5 81.250 (84.160) Epoch: [73][6220/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.5351 (1.6618) Prec@1 54.375 (55.434) Prec@5 88.125 (84.161) Epoch: [73][6230/11272] Time 0.899 (0.785) Data 0.002 (0.002) Loss 1.7541 (1.6618) Prec@1 50.625 (55.434) Prec@5 83.750 (84.160) Epoch: [73][6240/11272] Time 0.891 (0.785) Data 0.001 (0.002) Loss 1.7121 (1.6618) Prec@1 51.875 (55.434) Prec@5 81.875 (84.160) Epoch: [73][6250/11272] Time 0.714 (0.785) Data 0.001 (0.002) Loss 1.7800 (1.6618) Prec@1 51.250 (55.434) Prec@5 81.250 (84.160) Epoch: [73][6260/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 1.5597 (1.6619) Prec@1 58.125 (55.433) Prec@5 85.625 (84.158) Epoch: [73][6270/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.5816 (1.6618) Prec@1 57.500 (55.432) Prec@5 84.375 (84.159) Epoch: [73][6280/11272] Time 0.841 (0.785) Data 0.001 (0.002) Loss 1.7379 (1.6618) Prec@1 51.250 (55.432) Prec@5 81.875 (84.159) Epoch: [73][6290/11272] Time 0.751 (0.785) Data 0.002 (0.002) Loss 1.5873 (1.6618) Prec@1 56.875 (55.433) Prec@5 83.750 (84.159) Epoch: [73][6300/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.6273 (1.6619) Prec@1 56.250 (55.431) Prec@5 84.375 (84.158) Epoch: [73][6310/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.6384 (1.6620) Prec@1 58.125 (55.427) Prec@5 84.375 (84.159) Epoch: [73][6320/11272] Time 0.746 (0.785) Data 0.001 (0.002) Loss 1.6163 (1.6621) Prec@1 53.125 (55.425) Prec@5 85.000 (84.155) Epoch: [73][6330/11272] Time 0.732 (0.785) Data 0.001 (0.002) Loss 1.3913 (1.6619) Prec@1 61.250 (55.427) Prec@5 86.875 (84.159) Epoch: [73][6340/11272] Time 0.834 (0.785) Data 0.001 (0.002) Loss 1.6491 (1.6620) Prec@1 56.875 (55.427) Prec@5 85.000 (84.158) Epoch: [73][6350/11272] Time 0.869 (0.785) Data 0.002 (0.002) Loss 1.5505 (1.6620) Prec@1 57.500 (55.426) Prec@5 88.125 (84.157) Epoch: [73][6360/11272] Time 0.751 (0.785) Data 0.002 (0.002) Loss 1.4192 (1.6620) Prec@1 60.000 (55.423) Prec@5 88.750 (84.156) Epoch: [73][6370/11272] Time 0.708 (0.785) Data 0.001 (0.002) Loss 1.7189 (1.6620) Prec@1 56.875 (55.423) Prec@5 82.500 (84.157) Epoch: [73][6380/11272] Time 0.824 (0.785) Data 0.002 (0.002) Loss 1.7332 (1.6620) Prec@1 54.375 (55.425) Prec@5 81.875 (84.156) Epoch: [73][6390/11272] Time 0.846 (0.785) Data 0.002 (0.002) Loss 1.6387 (1.6620) Prec@1 54.375 (55.425) Prec@5 85.000 (84.156) Epoch: [73][6400/11272] Time 0.736 (0.785) Data 0.002 (0.002) Loss 1.8058 (1.6619) Prec@1 53.125 (55.425) Prec@5 79.375 (84.158) Epoch: [73][6410/11272] Time 0.756 (0.785) Data 0.002 (0.002) Loss 1.5414 (1.6619) Prec@1 54.375 (55.423) Prec@5 88.125 (84.159) Epoch: [73][6420/11272] Time 0.839 (0.785) Data 0.002 (0.002) Loss 1.8346 (1.6621) Prec@1 48.750 (55.419) Prec@5 85.625 (84.157) Epoch: [73][6430/11272] Time 0.844 (0.785) Data 0.002 (0.002) Loss 1.5230 (1.6620) Prec@1 62.500 (55.418) Prec@5 86.875 (84.158) Epoch: [73][6440/11272] Time 0.798 (0.785) Data 0.002 (0.002) Loss 1.6209 (1.6621) Prec@1 55.000 (55.417) Prec@5 83.750 (84.157) Epoch: [73][6450/11272] Time 0.818 (0.785) Data 0.001 (0.002) Loss 1.7237 (1.6621) Prec@1 53.750 (55.420) Prec@5 81.250 (84.157) Epoch: [73][6460/11272] Time 0.872 (0.785) Data 0.002 (0.002) Loss 1.4339 (1.6620) Prec@1 60.000 (55.421) Prec@5 87.500 (84.159) Epoch: [73][6470/11272] Time 0.748 (0.785) Data 0.001 (0.002) Loss 1.5923 (1.6619) Prec@1 58.750 (55.423) Prec@5 83.750 (84.160) Epoch: [73][6480/11272] Time 0.727 (0.785) Data 0.002 (0.002) Loss 1.7141 (1.6619) Prec@1 55.625 (55.424) Prec@5 85.625 (84.159) Epoch: [73][6490/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 1.7815 (1.6619) Prec@1 52.500 (55.427) Prec@5 82.500 (84.160) Epoch: [73][6500/11272] Time 0.853 (0.785) Data 0.002 (0.002) Loss 1.3536 (1.6618) Prec@1 59.375 (55.426) Prec@5 90.000 (84.161) Epoch: [73][6510/11272] Time 0.745 (0.785) Data 0.002 (0.002) Loss 1.5431 (1.6619) Prec@1 61.250 (55.426) Prec@5 86.250 (84.162) Epoch: [73][6520/11272] Time 0.745 (0.785) Data 0.002 (0.002) Loss 1.6784 (1.6620) Prec@1 52.500 (55.423) Prec@5 81.250 (84.159) Epoch: [73][6530/11272] Time 0.849 (0.785) Data 0.002 (0.002) Loss 1.6130 (1.6620) Prec@1 58.125 (55.424) Prec@5 83.750 (84.158) Epoch: [73][6540/11272] Time 0.808 (0.785) Data 0.001 (0.002) Loss 1.5545 (1.6620) Prec@1 52.500 (55.425) Prec@5 87.500 (84.159) Epoch: [73][6550/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.4742 (1.6620) Prec@1 59.375 (55.425) Prec@5 86.875 (84.158) Epoch: [73][6560/11272] Time 0.734 (0.785) Data 0.001 (0.002) Loss 1.4805 (1.6620) Prec@1 54.375 (55.425) Prec@5 87.500 (84.161) Epoch: [73][6570/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.5967 (1.6619) Prec@1 56.250 (55.425) Prec@5 86.250 (84.162) Epoch: [73][6580/11272] Time 0.717 (0.785) Data 0.003 (0.002) Loss 1.6519 (1.6619) Prec@1 58.750 (55.427) Prec@5 85.000 (84.163) Epoch: [73][6590/11272] Time 0.729 (0.785) Data 0.002 (0.002) Loss 1.6741 (1.6619) Prec@1 53.750 (55.425) Prec@5 83.125 (84.162) Epoch: [73][6600/11272] Time 0.845 (0.785) Data 0.001 (0.002) Loss 1.5850 (1.6620) Prec@1 56.250 (55.424) Prec@5 85.000 (84.160) Epoch: [73][6610/11272] Time 0.819 (0.785) Data 0.002 (0.002) Loss 1.5159 (1.6620) Prec@1 57.500 (55.422) Prec@5 86.875 (84.160) Epoch: [73][6620/11272] Time 0.773 (0.785) Data 0.002 (0.002) Loss 1.9349 (1.6620) Prec@1 46.250 (55.420) Prec@5 82.500 (84.160) Epoch: [73][6630/11272] Time 0.703 (0.785) Data 0.001 (0.002) Loss 1.4856 (1.6621) Prec@1 61.875 (55.420) Prec@5 90.000 (84.160) Epoch: [73][6640/11272] Time 0.820 (0.785) Data 0.001 (0.002) Loss 1.6570 (1.6620) Prec@1 56.250 (55.419) Prec@5 85.000 (84.163) Epoch: [73][6650/11272] Time 0.833 (0.785) Data 0.001 (0.002) Loss 1.7843 (1.6621) Prec@1 56.250 (55.418) Prec@5 78.750 (84.161) Epoch: [73][6660/11272] Time 0.765 (0.785) Data 0.002 (0.002) Loss 1.8296 (1.6622) Prec@1 51.250 (55.414) Prec@5 80.000 (84.160) Epoch: [73][6670/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 1.4397 (1.6620) Prec@1 59.375 (55.417) Prec@5 86.250 (84.162) Epoch: [73][6680/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.5747 (1.6621) Prec@1 56.875 (55.415) Prec@5 88.125 (84.162) Epoch: [73][6690/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 1.8378 (1.6622) Prec@1 48.125 (55.411) Prec@5 83.125 (84.158) Epoch: [73][6700/11272] Time 0.710 (0.785) Data 0.001 (0.002) Loss 1.5003 (1.6622) Prec@1 58.125 (55.411) Prec@5 86.250 (84.159) Epoch: [73][6710/11272] Time 0.807 (0.785) Data 0.001 (0.002) Loss 1.4143 (1.6623) Prec@1 58.750 (55.407) Prec@5 90.000 (84.158) Epoch: [73][6720/11272] Time 0.872 (0.785) Data 0.001 (0.002) Loss 1.6688 (1.6623) Prec@1 53.125 (55.406) Prec@5 84.375 (84.158) Epoch: [73][6730/11272] Time 0.744 (0.785) Data 0.001 (0.002) Loss 1.7135 (1.6624) Prec@1 57.500 (55.406) Prec@5 81.250 (84.155) Epoch: [73][6740/11272] Time 0.748 (0.785) Data 0.002 (0.002) Loss 1.6779 (1.6624) Prec@1 56.875 (55.407) Prec@5 82.500 (84.155) Epoch: [73][6750/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.5379 (1.6624) Prec@1 58.125 (55.407) Prec@5 84.375 (84.154) Epoch: [73][6760/11272] Time 0.891 (0.785) Data 0.002 (0.002) Loss 1.7088 (1.6625) Prec@1 48.125 (55.405) Prec@5 85.000 (84.155) Epoch: [73][6770/11272] Time 0.740 (0.785) Data 0.001 (0.002) Loss 1.5424 (1.6623) Prec@1 55.000 (55.407) Prec@5 85.000 (84.157) Epoch: [73][6780/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.4185 (1.6623) Prec@1 61.875 (55.409) Prec@5 86.250 (84.158) Epoch: [73][6790/11272] Time 0.837 (0.785) Data 0.002 (0.002) Loss 1.8056 (1.6623) Prec@1 50.000 (55.406) Prec@5 82.500 (84.157) Epoch: [73][6800/11272] Time 0.835 (0.785) Data 0.002 (0.002) Loss 1.6999 (1.6624) Prec@1 53.750 (55.402) Prec@5 79.375 (84.152) Epoch: [73][6810/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.5658 (1.6623) Prec@1 60.000 (55.405) Prec@5 83.125 (84.153) Epoch: [73][6820/11272] Time 0.751 (0.785) Data 0.002 (0.002) Loss 1.7279 (1.6624) Prec@1 53.125 (55.406) Prec@5 81.875 (84.151) Epoch: [73][6830/11272] Time 0.856 (0.785) Data 0.002 (0.002) Loss 1.6695 (1.6624) Prec@1 58.750 (55.407) Prec@5 82.500 (84.151) Epoch: [73][6840/11272] Time 0.741 (0.785) Data 0.003 (0.002) Loss 1.6071 (1.6623) Prec@1 55.000 (55.407) Prec@5 85.000 (84.152) Epoch: [73][6850/11272] Time 0.709 (0.785) Data 0.001 (0.002) Loss 1.6919 (1.6623) Prec@1 55.000 (55.407) Prec@5 83.125 (84.151) Epoch: [73][6860/11272] Time 0.848 (0.785) Data 0.002 (0.002) Loss 1.7323 (1.6624) Prec@1 55.625 (55.406) Prec@5 82.500 (84.150) Epoch: [73][6870/11272] Time 0.807 (0.785) Data 0.001 (0.002) Loss 1.8405 (1.6624) Prec@1 53.125 (55.406) Prec@5 78.750 (84.150) Epoch: [73][6880/11272] Time 0.768 (0.785) Data 0.002 (0.002) Loss 1.7555 (1.6624) Prec@1 53.125 (55.406) Prec@5 85.000 (84.151) Epoch: [73][6890/11272] Time 0.714 (0.785) Data 0.001 (0.002) Loss 1.8148 (1.6624) Prec@1 48.125 (55.405) Prec@5 81.875 (84.151) Epoch: [73][6900/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.6721 (1.6624) Prec@1 56.250 (55.405) Prec@5 85.000 (84.150) Epoch: [73][6910/11272] Time 0.864 (0.785) Data 0.002 (0.002) Loss 1.9389 (1.6625) Prec@1 51.875 (55.404) Prec@5 79.375 (84.150) Epoch: [73][6920/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 1.7510 (1.6626) Prec@1 52.500 (55.400) Prec@5 80.000 (84.147) Epoch: [73][6930/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.6946 (1.6625) Prec@1 53.750 (55.401) Prec@5 81.875 (84.148) Epoch: [73][6940/11272] Time 0.854 (0.785) Data 0.002 (0.002) Loss 1.7666 (1.6626) Prec@1 56.875 (55.401) Prec@5 80.625 (84.146) Epoch: [73][6950/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.7287 (1.6627) Prec@1 53.125 (55.397) Prec@5 84.375 (84.146) Epoch: [73][6960/11272] Time 0.723 (0.785) Data 0.002 (0.002) Loss 1.6841 (1.6627) Prec@1 63.750 (55.400) Prec@5 85.625 (84.149) Epoch: [73][6970/11272] Time 0.881 (0.785) Data 0.001 (0.002) Loss 1.5919 (1.6626) Prec@1 60.000 (55.402) Prec@5 84.375 (84.150) Epoch: [73][6980/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.6386 (1.6626) Prec@1 56.875 (55.400) Prec@5 83.750 (84.150) Epoch: [73][6990/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.5686 (1.6626) Prec@1 57.500 (55.399) Prec@5 86.250 (84.150) Epoch: [73][7000/11272] Time 0.718 (0.785) Data 0.002 (0.002) Loss 1.7112 (1.6627) Prec@1 57.500 (55.398) Prec@5 79.375 (84.149) Epoch: [73][7010/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 1.8478 (1.6627) Prec@1 49.375 (55.398) Prec@5 80.000 (84.149) Epoch: [73][7020/11272] Time 0.902 (0.785) Data 0.002 (0.002) Loss 1.6971 (1.6626) Prec@1 53.125 (55.399) Prec@5 81.250 (84.149) Epoch: [73][7030/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.9444 (1.6626) Prec@1 51.250 (55.400) Prec@5 75.625 (84.150) Epoch: [73][7040/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.6548 (1.6626) Prec@1 58.125 (55.399) Prec@5 80.625 (84.148) Epoch: [73][7050/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 1.7424 (1.6627) Prec@1 50.625 (55.397) Prec@5 81.875 (84.146) Epoch: [73][7060/11272] Time 0.824 (0.785) Data 0.002 (0.002) Loss 1.6363 (1.6628) Prec@1 55.000 (55.393) Prec@5 85.000 (84.146) Epoch: [73][7070/11272] Time 0.750 (0.785) Data 0.002 (0.002) Loss 1.6652 (1.6629) Prec@1 55.625 (55.391) Prec@5 83.125 (84.144) Epoch: [73][7080/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 1.5515 (1.6629) Prec@1 58.750 (55.389) Prec@5 85.625 (84.145) Epoch: [73][7090/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.7003 (1.6628) Prec@1 50.625 (55.390) Prec@5 84.375 (84.147) Epoch: [73][7100/11272] Time 0.792 (0.785) Data 0.001 (0.002) Loss 1.6272 (1.6628) Prec@1 53.125 (55.389) Prec@5 85.000 (84.145) Epoch: [73][7110/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.4413 (1.6627) Prec@1 62.500 (55.392) Prec@5 85.625 (84.147) Epoch: [73][7120/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.7627 (1.6626) Prec@1 53.125 (55.393) Prec@5 83.125 (84.148) Epoch: [73][7130/11272] Time 0.859 (0.785) Data 0.002 (0.002) Loss 1.8658 (1.6626) Prec@1 48.750 (55.393) Prec@5 83.750 (84.147) Epoch: [73][7140/11272] Time 0.746 (0.785) Data 0.002 (0.002) Loss 1.6415 (1.6626) Prec@1 58.750 (55.395) Prec@5 84.375 (84.148) Epoch: [73][7150/11272] Time 0.725 (0.785) Data 0.002 (0.002) Loss 1.7954 (1.6626) Prec@1 56.875 (55.394) Prec@5 81.250 (84.146) Epoch: [73][7160/11272] Time 0.843 (0.785) Data 0.002 (0.002) Loss 1.7861 (1.6626) Prec@1 54.375 (55.395) Prec@5 83.125 (84.145) Epoch: [73][7170/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.9932 (1.6626) Prec@1 48.125 (55.393) Prec@5 78.125 (84.145) Epoch: [73][7180/11272] Time 0.691 (0.785) Data 0.001 (0.002) Loss 1.7352 (1.6626) Prec@1 53.750 (55.396) Prec@5 85.000 (84.146) Epoch: [73][7190/11272] Time 0.691 (0.785) Data 0.001 (0.002) Loss 1.7705 (1.6627) Prec@1 57.500 (55.396) Prec@5 84.375 (84.145) Epoch: [73][7200/11272] Time 0.862 (0.785) Data 0.002 (0.002) Loss 1.7754 (1.6626) Prec@1 51.250 (55.397) Prec@5 85.000 (84.145) Epoch: [73][7210/11272] Time 0.886 (0.785) Data 0.002 (0.002) Loss 1.8109 (1.6626) Prec@1 52.500 (55.397) Prec@5 83.750 (84.146) Epoch: [73][7220/11272] Time 0.707 (0.785) Data 0.001 (0.002) Loss 1.8362 (1.6627) Prec@1 53.750 (55.396) Prec@5 81.875 (84.144) Epoch: [73][7230/11272] Time 0.759 (0.785) Data 0.001 (0.002) Loss 1.6043 (1.6627) Prec@1 58.750 (55.396) Prec@5 78.750 (84.143) Epoch: [73][7240/11272] Time 0.854 (0.785) Data 0.002 (0.002) Loss 1.9155 (1.6628) Prec@1 48.750 (55.393) Prec@5 81.875 (84.142) Epoch: [73][7250/11272] Time 0.728 (0.785) Data 0.002 (0.002) Loss 1.8188 (1.6628) Prec@1 47.500 (55.394) Prec@5 85.625 (84.141) Epoch: [73][7260/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.6085 (1.6626) Prec@1 58.750 (55.399) Prec@5 85.625 (84.143) Epoch: [73][7270/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.7214 (1.6627) Prec@1 55.625 (55.399) Prec@5 81.875 (84.142) Epoch: [73][7280/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.7213 (1.6627) Prec@1 46.250 (55.396) Prec@5 84.375 (84.141) Epoch: [73][7290/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.7128 (1.6627) Prec@1 52.500 (55.396) Prec@5 82.500 (84.141) Epoch: [73][7300/11272] Time 0.744 (0.785) Data 0.001 (0.002) Loss 1.7943 (1.6627) Prec@1 53.125 (55.397) Prec@5 80.000 (84.142) Epoch: [73][7310/11272] Time 0.802 (0.785) Data 0.001 (0.002) Loss 1.8841 (1.6628) Prec@1 46.250 (55.396) Prec@5 78.750 (84.140) Epoch: [73][7320/11272] Time 0.865 (0.785) Data 0.002 (0.002) Loss 1.7470 (1.6629) Prec@1 55.000 (55.393) Prec@5 83.125 (84.137) Epoch: [73][7330/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.6774 (1.6630) Prec@1 51.875 (55.389) Prec@5 87.500 (84.137) Epoch: [73][7340/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.3971 (1.6630) Prec@1 63.750 (55.390) Prec@5 85.625 (84.137) Epoch: [73][7350/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.7635 (1.6630) Prec@1 52.500 (55.389) Prec@5 80.625 (84.136) Epoch: [73][7360/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.5174 (1.6630) Prec@1 56.875 (55.389) Prec@5 86.875 (84.136) Epoch: [73][7370/11272] Time 0.704 (0.785) Data 0.001 (0.002) Loss 1.5248 (1.6631) Prec@1 55.625 (55.388) Prec@5 85.000 (84.135) Epoch: [73][7380/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.7634 (1.6632) Prec@1 48.750 (55.384) Prec@5 83.750 (84.134) Epoch: [73][7390/11272] Time 0.833 (0.785) Data 0.002 (0.002) Loss 1.6781 (1.6631) Prec@1 56.250 (55.385) Prec@5 84.375 (84.135) Epoch: [73][7400/11272] Time 0.715 (0.785) Data 0.002 (0.002) Loss 1.7469 (1.6631) Prec@1 48.125 (55.383) Prec@5 81.875 (84.135) Epoch: [73][7410/11272] Time 0.750 (0.785) Data 0.002 (0.002) Loss 1.6015 (1.6632) Prec@1 55.625 (55.382) Prec@5 83.750 (84.134) Epoch: [73][7420/11272] Time 0.843 (0.785) Data 0.002 (0.002) Loss 1.6282 (1.6633) Prec@1 53.750 (55.381) Prec@5 87.500 (84.134) Epoch: [73][7430/11272] Time 0.830 (0.785) Data 0.001 (0.002) Loss 1.6356 (1.6632) Prec@1 54.375 (55.381) Prec@5 83.750 (84.134) Epoch: [73][7440/11272] Time 0.748 (0.785) Data 0.002 (0.002) Loss 1.3701 (1.6632) Prec@1 58.125 (55.380) Prec@5 87.500 (84.134) Epoch: [73][7450/11272] Time 0.711 (0.785) Data 0.001 (0.002) Loss 1.6158 (1.6632) Prec@1 57.500 (55.382) Prec@5 82.500 (84.134) Epoch: [73][7460/11272] Time 0.835 (0.785) Data 0.002 (0.002) Loss 1.6732 (1.6631) Prec@1 55.000 (55.382) Prec@5 82.500 (84.134) Epoch: [73][7470/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 2.1339 (1.6632) Prec@1 46.250 (55.381) Prec@5 77.500 (84.133) Epoch: [73][7480/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.8140 (1.6632) Prec@1 53.750 (55.382) Prec@5 78.125 (84.132) Epoch: [73][7490/11272] Time 0.710 (0.785) Data 0.001 (0.002) Loss 1.7983 (1.6632) Prec@1 53.125 (55.383) Prec@5 80.625 (84.131) Epoch: [73][7500/11272] Time 0.870 (0.785) Data 0.002 (0.002) Loss 1.7829 (1.6632) Prec@1 53.750 (55.382) Prec@5 80.000 (84.130) Epoch: [73][7510/11272] Time 0.752 (0.785) Data 0.003 (0.002) Loss 1.5278 (1.6632) Prec@1 55.625 (55.383) Prec@5 86.250 (84.130) Epoch: [73][7520/11272] Time 0.723 (0.785) Data 0.001 (0.002) Loss 1.5357 (1.6632) Prec@1 57.500 (55.384) Prec@5 88.125 (84.131) Epoch: [73][7530/11272] Time 0.845 (0.785) Data 0.002 (0.002) Loss 1.6856 (1.6632) Prec@1 55.000 (55.385) Prec@5 86.250 (84.131) Epoch: [73][7540/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.4526 (1.6632) Prec@1 65.000 (55.386) Prec@5 85.625 (84.131) Epoch: [73][7550/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.5573 (1.6632) Prec@1 58.750 (55.386) Prec@5 86.875 (84.131) Epoch: [73][7560/11272] Time 0.740 (0.785) Data 0.002 (0.002) Loss 1.4186 (1.6633) Prec@1 61.875 (55.382) Prec@5 86.250 (84.129) Epoch: [73][7570/11272] Time 0.854 (0.785) Data 0.002 (0.002) Loss 1.5214 (1.6633) Prec@1 59.375 (55.384) Prec@5 86.250 (84.130) Epoch: [73][7580/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.7459 (1.6633) Prec@1 55.625 (55.386) Prec@5 83.750 (84.130) Epoch: [73][7590/11272] Time 0.743 (0.785) Data 0.002 (0.002) Loss 1.4630 (1.6633) Prec@1 65.000 (55.385) Prec@5 90.000 (84.129) Epoch: [73][7600/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.7522 (1.6633) Prec@1 52.500 (55.384) Prec@5 84.375 (84.130) Epoch: [73][7610/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.4401 (1.6634) Prec@1 61.250 (55.384) Prec@5 85.625 (84.131) Epoch: [73][7620/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 1.8466 (1.6633) Prec@1 55.000 (55.386) Prec@5 80.000 (84.131) Epoch: [73][7630/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.4937 (1.6633) Prec@1 54.375 (55.387) Prec@5 89.375 (84.132) Epoch: [73][7640/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.4819 (1.6633) Prec@1 63.750 (55.387) Prec@5 84.375 (84.132) Epoch: [73][7650/11272] Time 0.873 (0.785) Data 0.002 (0.002) Loss 1.5810 (1.6633) Prec@1 56.875 (55.385) Prec@5 84.375 (84.129) Epoch: [73][7660/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 1.6723 (1.6633) Prec@1 53.125 (55.384) Prec@5 83.125 (84.130) Epoch: [73][7670/11272] Time 0.718 (0.785) Data 0.002 (0.002) Loss 1.7689 (1.6634) Prec@1 49.375 (55.383) Prec@5 85.000 (84.129) Epoch: [73][7680/11272] Time 0.814 (0.785) Data 0.002 (0.002) Loss 1.3518 (1.6634) Prec@1 61.875 (55.383) Prec@5 90.625 (84.127) Epoch: [73][7690/11272] Time 0.871 (0.785) Data 0.002 (0.002) Loss 1.7194 (1.6634) Prec@1 50.625 (55.385) Prec@5 83.125 (84.127) Epoch: [73][7700/11272] Time 0.748 (0.785) Data 0.002 (0.002) Loss 1.6634 (1.6635) Prec@1 51.250 (55.382) Prec@5 83.125 (84.126) Epoch: [73][7710/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.8411 (1.6635) Prec@1 51.875 (55.384) Prec@5 79.375 (84.126) Epoch: [73][7720/11272] Time 0.849 (0.785) Data 0.002 (0.002) Loss 1.4595 (1.6635) Prec@1 58.750 (55.383) Prec@5 85.625 (84.126) Epoch: [73][7730/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.5886 (1.6635) Prec@1 56.250 (55.384) Prec@5 84.375 (84.125) Epoch: [73][7740/11272] Time 0.748 (0.785) Data 0.002 (0.002) Loss 1.7031 (1.6636) Prec@1 56.250 (55.382) Prec@5 82.500 (84.123) Epoch: [73][7750/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.5803 (1.6635) Prec@1 58.750 (55.384) Prec@5 86.250 (84.124) Epoch: [73][7760/11272] Time 0.865 (0.785) Data 0.001 (0.002) Loss 1.7899 (1.6635) Prec@1 55.000 (55.387) Prec@5 79.375 (84.123) Epoch: [73][7770/11272] Time 0.691 (0.785) Data 0.003 (0.002) Loss 1.4250 (1.6635) Prec@1 62.500 (55.386) Prec@5 87.500 (84.121) Epoch: [73][7780/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.5812 (1.6635) Prec@1 58.125 (55.387) Prec@5 86.250 (84.122) Epoch: [73][7790/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.6842 (1.6635) Prec@1 57.500 (55.389) Prec@5 81.875 (84.121) Epoch: [73][7800/11272] Time 0.849 (0.785) Data 0.004 (0.002) Loss 1.5349 (1.6636) Prec@1 56.875 (55.387) Prec@5 85.625 (84.121) Epoch: [73][7810/11272] Time 0.710 (0.785) Data 0.001 (0.002) Loss 1.3629 (1.6635) Prec@1 60.000 (55.387) Prec@5 90.000 (84.123) Epoch: [73][7820/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.5875 (1.6635) Prec@1 58.125 (55.388) Prec@5 85.625 (84.124) Epoch: [73][7830/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.6661 (1.6635) Prec@1 54.375 (55.386) Prec@5 85.000 (84.124) Epoch: [73][7840/11272] Time 0.937 (0.785) Data 0.002 (0.002) Loss 1.6933 (1.6635) Prec@1 51.250 (55.385) Prec@5 83.750 (84.122) Epoch: [73][7850/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.6913 (1.6635) Prec@1 53.125 (55.385) Prec@5 85.000 (84.122) Epoch: [73][7860/11272] Time 0.736 (0.785) Data 0.002 (0.002) Loss 1.7384 (1.6634) Prec@1 53.125 (55.386) Prec@5 85.625 (84.123) Epoch: [73][7870/11272] Time 0.814 (0.785) Data 0.001 (0.002) Loss 1.7532 (1.6634) Prec@1 57.500 (55.388) Prec@5 81.875 (84.123) Epoch: [73][7880/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.5037 (1.6634) Prec@1 58.750 (55.387) Prec@5 85.000 (84.124) Epoch: [73][7890/11272] Time 0.698 (0.785) Data 0.001 (0.002) Loss 1.6286 (1.6635) Prec@1 58.750 (55.385) Prec@5 82.500 (84.124) Epoch: [73][7900/11272] Time 0.845 (0.785) Data 0.001 (0.002) Loss 1.5888 (1.6635) Prec@1 55.625 (55.385) Prec@5 85.625 (84.123) Epoch: [73][7910/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.5209 (1.6635) Prec@1 56.875 (55.385) Prec@5 85.625 (84.122) Epoch: [73][7920/11272] Time 0.750 (0.785) Data 0.001 (0.002) Loss 1.7287 (1.6635) Prec@1 54.375 (55.385) Prec@5 83.125 (84.122) Epoch: [73][7930/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.6595 (1.6636) Prec@1 55.625 (55.383) Prec@5 82.500 (84.119) Epoch: [73][7940/11272] Time 0.815 (0.785) Data 0.001 (0.002) Loss 1.7667 (1.6636) Prec@1 53.125 (55.384) Prec@5 81.250 (84.118) Epoch: [73][7950/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 1.4366 (1.6637) Prec@1 58.750 (55.382) Prec@5 86.875 (84.116) Epoch: [73][7960/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 1.7739 (1.6636) Prec@1 51.875 (55.381) Prec@5 83.750 (84.117) Epoch: [73][7970/11272] Time 0.702 (0.785) Data 0.001 (0.002) Loss 1.6437 (1.6636) Prec@1 56.250 (55.380) Prec@5 81.875 (84.118) Epoch: [73][7980/11272] Time 0.843 (0.785) Data 0.001 (0.002) Loss 1.5836 (1.6638) Prec@1 56.875 (55.377) Prec@5 87.500 (84.117) Epoch: [73][7990/11272] Time 0.806 (0.785) Data 0.002 (0.002) Loss 1.9134 (1.6638) Prec@1 50.625 (55.376) Prec@5 79.375 (84.115) Epoch: [73][8000/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.6029 (1.6638) Prec@1 56.250 (55.376) Prec@5 85.000 (84.114) Epoch: [73][8010/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.5329 (1.6638) Prec@1 53.125 (55.377) Prec@5 88.750 (84.113) Epoch: [73][8020/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.8543 (1.6639) Prec@1 51.875 (55.376) Prec@5 78.125 (84.113) Epoch: [73][8030/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.3704 (1.6639) Prec@1 61.250 (55.378) Prec@5 91.250 (84.113) Epoch: [73][8040/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.6141 (1.6638) Prec@1 58.750 (55.379) Prec@5 86.875 (84.114) Epoch: [73][8050/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.4224 (1.6638) Prec@1 60.625 (55.380) Prec@5 88.125 (84.114) Epoch: [73][8060/11272] Time 0.850 (0.785) Data 0.002 (0.002) Loss 1.7057 (1.6638) Prec@1 56.250 (55.382) Prec@5 86.875 (84.115) Epoch: [73][8070/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.5963 (1.6638) Prec@1 54.375 (55.381) Prec@5 88.125 (84.117) Epoch: [73][8080/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.5319 (1.6639) Prec@1 55.000 (55.379) Prec@5 86.250 (84.116) Epoch: [73][8090/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.4298 (1.6638) Prec@1 60.000 (55.382) Prec@5 87.500 (84.118) Epoch: [73][8100/11272] Time 0.868 (0.785) Data 0.002 (0.002) Loss 1.8259 (1.6639) Prec@1 48.125 (55.380) Prec@5 81.250 (84.116) Epoch: [73][8110/11272] Time 0.765 (0.785) Data 0.002 (0.002) Loss 1.9386 (1.6639) Prec@1 48.750 (55.381) Prec@5 78.750 (84.117) Epoch: [73][8120/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.6818 (1.6640) Prec@1 58.750 (55.378) Prec@5 85.000 (84.115) Epoch: [73][8130/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.5561 (1.6640) Prec@1 60.625 (55.380) Prec@5 86.250 (84.115) Epoch: [73][8140/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.5607 (1.6640) Prec@1 56.875 (55.379) Prec@5 84.375 (84.113) Epoch: [73][8150/11272] Time 0.739 (0.785) Data 0.001 (0.002) Loss 1.5491 (1.6639) Prec@1 54.375 (55.380) Prec@5 86.250 (84.116) Epoch: [73][8160/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.8415 (1.6640) Prec@1 51.250 (55.377) Prec@5 79.375 (84.112) Epoch: [73][8170/11272] Time 0.856 (0.785) Data 0.002 (0.002) Loss 1.8517 (1.6641) Prec@1 48.125 (55.375) Prec@5 83.750 (84.112) Epoch: [73][8180/11272] Time 0.703 (0.785) Data 0.001 (0.002) Loss 1.9038 (1.6642) Prec@1 50.625 (55.371) Prec@5 80.000 (84.109) Epoch: [73][8190/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.4681 (1.6642) Prec@1 54.375 (55.372) Prec@5 89.375 (84.111) Epoch: [73][8200/11272] Time 0.827 (0.785) Data 0.001 (0.002) Loss 1.6071 (1.6641) Prec@1 55.625 (55.372) Prec@5 86.250 (84.112) Epoch: [73][8210/11272] Time 0.852 (0.785) Data 0.001 (0.002) Loss 1.7165 (1.6641) Prec@1 55.625 (55.374) Prec@5 78.750 (84.112) Epoch: [73][8220/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.6960 (1.6641) Prec@1 56.250 (55.373) Prec@5 83.750 (84.111) Epoch: [73][8230/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.6031 (1.6642) Prec@1 56.250 (55.371) Prec@5 85.625 (84.110) Epoch: [73][8240/11272] Time 0.847 (0.785) Data 0.002 (0.002) Loss 1.4980 (1.6642) Prec@1 55.625 (55.370) Prec@5 88.750 (84.110) Epoch: [73][8250/11272] Time 0.850 (0.785) Data 0.002 (0.002) Loss 1.4388 (1.6642) Prec@1 55.625 (55.372) Prec@5 89.375 (84.111) Epoch: [73][8260/11272] Time 0.713 (0.785) Data 0.002 (0.002) Loss 1.7713 (1.6642) Prec@1 52.500 (55.372) Prec@5 80.000 (84.109) Epoch: [73][8270/11272] Time 0.758 (0.785) Data 0.002 (0.002) Loss 1.8350 (1.6642) Prec@1 54.375 (55.372) Prec@5 83.125 (84.109) Epoch: [73][8280/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.8135 (1.6643) Prec@1 54.375 (55.369) Prec@5 80.000 (84.108) Epoch: [73][8290/11272] Time 0.822 (0.785) Data 0.001 (0.002) Loss 1.5259 (1.6643) Prec@1 60.000 (55.368) Prec@5 86.250 (84.107) Epoch: [73][8300/11272] Time 0.721 (0.785) Data 0.001 (0.002) Loss 1.7334 (1.6642) Prec@1 52.500 (55.370) Prec@5 83.750 (84.108) Epoch: [73][8310/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.8083 (1.6642) Prec@1 52.500 (55.369) Prec@5 79.375 (84.109) Epoch: [73][8320/11272] Time 0.854 (0.786) Data 0.002 (0.002) Loss 1.6352 (1.6642) Prec@1 58.125 (55.371) Prec@5 83.125 (84.109) Epoch: [73][8330/11272] Time 0.723 (0.785) Data 0.002 (0.002) Loss 1.6952 (1.6642) Prec@1 55.625 (55.370) Prec@5 86.250 (84.109) Epoch: [73][8340/11272] Time 0.692 (0.785) Data 0.001 (0.002) Loss 1.3875 (1.6642) Prec@1 62.500 (55.370) Prec@5 89.375 (84.109) Epoch: [73][8350/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.5422 (1.6642) Prec@1 57.500 (55.371) Prec@5 83.750 (84.109) Epoch: [73][8360/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.7577 (1.6642) Prec@1 52.500 (55.372) Prec@5 81.250 (84.109) Epoch: [73][8370/11272] Time 0.759 (0.786) Data 0.002 (0.002) Loss 1.6752 (1.6642) Prec@1 56.875 (55.373) Prec@5 80.625 (84.108) Epoch: [73][8380/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.7204 (1.6642) Prec@1 55.625 (55.373) Prec@5 83.750 (84.108) Epoch: [73][8390/11272] Time 0.878 (0.786) Data 0.003 (0.002) Loss 1.8439 (1.6642) Prec@1 52.500 (55.375) Prec@5 81.875 (84.107) Epoch: [73][8400/11272] Time 0.858 (0.786) Data 0.002 (0.002) Loss 1.7896 (1.6642) Prec@1 55.000 (55.375) Prec@5 83.750 (84.108) Epoch: [73][8410/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.4254 (1.6642) Prec@1 65.000 (55.376) Prec@5 88.750 (84.109) Epoch: [73][8420/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.4433 (1.6641) Prec@1 58.125 (55.376) Prec@5 86.250 (84.109) Epoch: [73][8430/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 1.6568 (1.6642) Prec@1 56.875 (55.375) Prec@5 81.875 (84.108) Epoch: [73][8440/11272] Time 0.740 (0.786) Data 0.003 (0.002) Loss 1.5898 (1.6642) Prec@1 55.000 (55.374) Prec@5 84.375 (84.107) Epoch: [73][8450/11272] Time 0.683 (0.786) Data 0.001 (0.002) Loss 1.6907 (1.6642) Prec@1 56.250 (55.374) Prec@5 83.750 (84.107) Epoch: [73][8460/11272] Time 0.786 (0.785) Data 0.001 (0.002) Loss 1.5242 (1.6643) Prec@1 58.750 (55.373) Prec@5 87.500 (84.107) Epoch: [73][8470/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.8320 (1.6643) Prec@1 49.375 (55.372) Prec@5 83.125 (84.107) Epoch: [73][8480/11272] Time 0.764 (0.785) Data 0.002 (0.002) Loss 1.5257 (1.6642) Prec@1 58.750 (55.373) Prec@5 86.250 (84.108) Epoch: [73][8490/11272] Time 0.732 (0.785) Data 0.001 (0.002) Loss 1.6121 (1.6642) Prec@1 52.500 (55.372) Prec@5 86.250 (84.108) Epoch: [73][8500/11272] Time 0.858 (0.785) Data 0.002 (0.002) Loss 1.5968 (1.6643) Prec@1 59.375 (55.373) Prec@5 85.625 (84.107) Epoch: [73][8510/11272] Time 0.796 (0.785) Data 0.001 (0.002) Loss 1.4961 (1.6644) Prec@1 62.500 (55.371) Prec@5 86.875 (84.107) Epoch: [73][8520/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.8111 (1.6644) Prec@1 50.625 (55.370) Prec@5 82.500 (84.106) Epoch: [73][8530/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 1.4867 (1.6644) Prec@1 63.125 (55.370) Prec@5 86.250 (84.107) Epoch: [73][8540/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.5436 (1.6644) Prec@1 61.875 (55.371) Prec@5 83.750 (84.107) Epoch: [73][8550/11272] Time 0.852 (0.785) Data 0.002 (0.002) Loss 1.5633 (1.6644) Prec@1 53.750 (55.371) Prec@5 87.500 (84.106) Epoch: [73][8560/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 1.5400 (1.6644) Prec@1 66.250 (55.371) Prec@5 83.750 (84.106) Epoch: [73][8570/11272] Time 0.812 (0.785) Data 0.001 (0.002) Loss 1.8302 (1.6645) Prec@1 51.875 (55.369) Prec@5 80.625 (84.105) Epoch: [73][8580/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.6391 (1.6644) Prec@1 54.375 (55.368) Prec@5 85.000 (84.106) Epoch: [73][8590/11272] Time 0.774 (0.785) Data 0.001 (0.002) Loss 1.5716 (1.6644) Prec@1 58.750 (55.370) Prec@5 83.750 (84.106) Epoch: [73][8600/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.7659 (1.6644) Prec@1 53.750 (55.369) Prec@5 83.750 (84.106) Epoch: [73][8610/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.7701 (1.6643) Prec@1 48.750 (55.370) Prec@5 80.625 (84.105) Epoch: [73][8620/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.7278 (1.6644) Prec@1 51.250 (55.366) Prec@5 82.500 (84.104) Epoch: [73][8630/11272] Time 0.742 (0.785) Data 0.001 (0.002) Loss 1.7546 (1.6645) Prec@1 52.500 (55.366) Prec@5 84.375 (84.103) Epoch: [73][8640/11272] Time 0.742 (0.785) Data 0.001 (0.002) Loss 1.7758 (1.6644) Prec@1 51.875 (55.365) Prec@5 83.125 (84.103) Epoch: [73][8650/11272] Time 0.839 (0.786) Data 0.002 (0.002) Loss 2.0873 (1.6646) Prec@1 48.125 (55.361) Prec@5 78.125 (84.100) Epoch: [73][8660/11272] Time 0.824 (0.786) Data 0.001 (0.002) Loss 1.8908 (1.6647) Prec@1 50.000 (55.358) Prec@5 80.000 (84.098) Epoch: [73][8670/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.7728 (1.6647) Prec@1 58.125 (55.360) Prec@5 83.750 (84.099) Epoch: [73][8680/11272] Time 0.707 (0.786) Data 0.001 (0.002) Loss 1.4961 (1.6646) Prec@1 58.125 (55.362) Prec@5 88.125 (84.099) Epoch: [73][8690/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 1.7577 (1.6646) Prec@1 56.875 (55.363) Prec@5 83.125 (84.099) Epoch: [73][8700/11272] Time 0.727 (0.786) Data 0.003 (0.002) Loss 1.6836 (1.6646) Prec@1 54.375 (55.364) Prec@5 83.750 (84.099) Epoch: [73][8710/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 1.3392 (1.6646) Prec@1 58.750 (55.364) Prec@5 91.250 (84.099) Epoch: [73][8720/11272] Time 0.826 (0.785) Data 0.001 (0.002) Loss 1.5188 (1.6646) Prec@1 58.750 (55.365) Prec@5 85.625 (84.099) Epoch: [73][8730/11272] Time 0.830 (0.785) Data 0.002 (0.002) Loss 1.5164 (1.6647) Prec@1 58.125 (55.366) Prec@5 86.250 (84.099) Epoch: [73][8740/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.7437 (1.6647) Prec@1 53.125 (55.364) Prec@5 83.125 (84.098) Epoch: [73][8750/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 1.4001 (1.6646) Prec@1 61.250 (55.366) Prec@5 89.375 (84.100) Epoch: [73][8760/11272] Time 0.848 (0.785) Data 0.001 (0.002) Loss 1.6072 (1.6647) Prec@1 51.250 (55.364) Prec@5 86.250 (84.099) Epoch: [73][8770/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.8587 (1.6647) Prec@1 53.125 (55.363) Prec@5 83.750 (84.099) Epoch: [73][8780/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.5814 (1.6647) Prec@1 52.500 (55.361) Prec@5 86.250 (84.098) Epoch: [73][8790/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.5988 (1.6647) Prec@1 52.500 (55.362) Prec@5 84.375 (84.099) Epoch: [73][8800/11272] Time 0.806 (0.785) Data 0.001 (0.002) Loss 1.7275 (1.6647) Prec@1 56.250 (55.360) Prec@5 85.000 (84.099) Epoch: [73][8810/11272] Time 0.813 (0.785) Data 0.002 (0.002) Loss 1.8746 (1.6648) Prec@1 51.250 (55.357) Prec@5 80.625 (84.098) Epoch: [73][8820/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.8171 (1.6648) Prec@1 55.000 (55.356) Prec@5 80.625 (84.099) Epoch: [73][8830/11272] Time 0.839 (0.785) Data 0.002 (0.002) Loss 1.7654 (1.6647) Prec@1 53.750 (55.358) Prec@5 86.250 (84.100) Epoch: [73][8840/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.9391 (1.6647) Prec@1 55.000 (55.359) Prec@5 76.250 (84.101) Epoch: [73][8850/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.4168 (1.6647) Prec@1 58.750 (55.356) Prec@5 89.375 (84.101) Epoch: [73][8860/11272] Time 0.757 (0.785) Data 0.002 (0.002) Loss 1.6657 (1.6648) Prec@1 54.375 (55.353) Prec@5 80.000 (84.099) Epoch: [73][8870/11272] Time 0.840 (0.785) Data 0.002 (0.002) Loss 1.6426 (1.6649) Prec@1 56.875 (55.351) Prec@5 86.250 (84.100) Epoch: [73][8880/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.8176 (1.6649) Prec@1 49.375 (55.348) Prec@5 81.250 (84.099) Epoch: [73][8890/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.6365 (1.6649) Prec@1 55.000 (55.348) Prec@5 81.875 (84.098) Epoch: [73][8900/11272] Time 0.736 (0.785) Data 0.002 (0.002) Loss 1.6023 (1.6649) Prec@1 60.000 (55.350) Prec@5 85.000 (84.099) Epoch: [73][8910/11272] Time 0.878 (0.786) Data 0.001 (0.002) Loss 1.7187 (1.6649) Prec@1 50.000 (55.348) Prec@5 84.375 (84.098) Epoch: [73][8920/11272] Time 0.852 (0.785) Data 0.002 (0.002) Loss 1.5376 (1.6649) Prec@1 56.250 (55.349) Prec@5 88.750 (84.099) Epoch: [73][8930/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.6649 (1.6649) Prec@1 55.000 (55.349) Prec@5 87.500 (84.100) Epoch: [73][8940/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.8659 (1.6650) Prec@1 51.250 (55.347) Prec@5 80.000 (84.099) Epoch: [73][8950/11272] Time 0.871 (0.786) Data 0.002 (0.002) Loss 1.6205 (1.6651) Prec@1 61.250 (55.345) Prec@5 83.125 (84.097) Epoch: [73][8960/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.5683 (1.6651) Prec@1 59.375 (55.347) Prec@5 85.625 (84.097) Epoch: [73][8970/11272] Time 0.729 (0.786) Data 0.001 (0.002) Loss 1.7141 (1.6651) Prec@1 51.875 (55.345) Prec@5 84.375 (84.097) Epoch: [73][8980/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.6043 (1.6651) Prec@1 60.000 (55.347) Prec@5 86.250 (84.097) Epoch: [73][8990/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.8765 (1.6651) Prec@1 56.250 (55.347) Prec@5 77.500 (84.098) Epoch: [73][9000/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.8750 (1.6652) Prec@1 53.750 (55.347) Prec@5 78.125 (84.096) Epoch: [73][9010/11272] Time 0.722 (0.785) Data 0.002 (0.002) Loss 1.6981 (1.6653) Prec@1 55.625 (55.346) Prec@5 85.000 (84.097) Epoch: [73][9020/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.7887 (1.6653) Prec@1 53.750 (55.345) Prec@5 81.250 (84.095) Epoch: [73][9030/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 1.8314 (1.6653) Prec@1 45.000 (55.343) Prec@5 83.125 (84.094) Epoch: [73][9040/11272] Time 0.775 (0.786) Data 0.002 (0.002) Loss 1.7101 (1.6653) Prec@1 50.000 (55.343) Prec@5 83.125 (84.094) Epoch: [73][9050/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.7183 (1.6653) Prec@1 53.125 (55.341) Prec@5 81.875 (84.095) Epoch: [73][9060/11272] Time 0.853 (0.786) Data 0.002 (0.002) Loss 1.7467 (1.6654) Prec@1 55.000 (55.340) Prec@5 85.000 (84.094) Epoch: [73][9070/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.7156 (1.6654) Prec@1 53.750 (55.340) Prec@5 83.125 (84.093) Epoch: [73][9080/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.7429 (1.6654) Prec@1 53.125 (55.340) Prec@5 82.500 (84.092) Epoch: [73][9090/11272] Time 0.708 (0.786) Data 0.001 (0.002) Loss 1.6389 (1.6654) Prec@1 56.250 (55.339) Prec@5 85.000 (84.091) Epoch: [73][9100/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 1.5023 (1.6654) Prec@1 60.000 (55.337) Prec@5 87.500 (84.092) Epoch: [73][9110/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6031 (1.6655) Prec@1 60.625 (55.337) Prec@5 80.625 (84.090) Epoch: [73][9120/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.5651 (1.6655) Prec@1 56.875 (55.338) Prec@5 85.625 (84.091) Epoch: [73][9130/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.6332 (1.6655) Prec@1 56.875 (55.336) Prec@5 80.625 (84.091) Epoch: [73][9140/11272] Time 0.815 (0.786) Data 0.001 (0.002) Loss 1.5466 (1.6655) Prec@1 59.375 (55.337) Prec@5 85.000 (84.090) Epoch: [73][9150/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.5769 (1.6656) Prec@1 54.375 (55.334) Prec@5 86.250 (84.090) Epoch: [73][9160/11272] Time 0.727 (0.786) Data 0.001 (0.002) Loss 1.7677 (1.6656) Prec@1 52.500 (55.334) Prec@5 81.250 (84.091) Epoch: [73][9170/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.3537 (1.6655) Prec@1 63.125 (55.336) Prec@5 89.375 (84.092) Epoch: [73][9180/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.7905 (1.6655) Prec@1 52.500 (55.336) Prec@5 83.125 (84.092) Epoch: [73][9190/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.7111 (1.6655) Prec@1 54.375 (55.337) Prec@5 83.750 (84.093) Epoch: [73][9200/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.6784 (1.6655) Prec@1 54.375 (55.337) Prec@5 83.750 (84.093) Epoch: [73][9210/11272] Time 0.848 (0.786) Data 0.002 (0.002) Loss 1.5591 (1.6655) Prec@1 56.875 (55.335) Prec@5 85.625 (84.093) Epoch: [73][9220/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.5628 (1.6655) Prec@1 53.125 (55.334) Prec@5 85.000 (84.092) Epoch: [73][9230/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.5488 (1.6656) Prec@1 61.875 (55.334) Prec@5 86.875 (84.093) Epoch: [73][9240/11272] Time 0.809 (0.786) Data 0.001 (0.002) Loss 1.7018 (1.6656) Prec@1 56.875 (55.335) Prec@5 78.750 (84.092) Epoch: [73][9250/11272] Time 0.845 (0.786) Data 0.001 (0.002) Loss 1.8062 (1.6656) Prec@1 48.125 (55.334) Prec@5 80.000 (84.091) Epoch: [73][9260/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.7081 (1.6656) Prec@1 51.875 (55.335) Prec@5 82.500 (84.091) Epoch: [73][9270/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.8809 (1.6655) Prec@1 51.250 (55.337) Prec@5 80.000 (84.092) Epoch: [73][9280/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.6153 (1.6656) Prec@1 61.250 (55.337) Prec@5 83.125 (84.091) Epoch: [73][9290/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.6716 (1.6656) Prec@1 58.125 (55.337) Prec@5 82.500 (84.090) Epoch: [73][9300/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7009 (1.6655) Prec@1 48.125 (55.336) Prec@5 84.375 (84.091) Epoch: [73][9310/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6546 (1.6655) Prec@1 53.125 (55.337) Prec@5 87.500 (84.093) Epoch: [73][9320/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 1.6260 (1.6656) Prec@1 56.250 (55.337) Prec@5 84.375 (84.090) Epoch: [73][9330/11272] Time 0.854 (0.786) Data 0.002 (0.002) Loss 1.6234 (1.6655) Prec@1 56.875 (55.338) Prec@5 85.000 (84.091) Epoch: [73][9340/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.7453 (1.6656) Prec@1 51.875 (55.337) Prec@5 84.375 (84.089) Epoch: [73][9350/11272] Time 0.701 (0.786) Data 0.001 (0.002) Loss 1.9172 (1.6656) Prec@1 53.125 (55.336) Prec@5 78.750 (84.090) Epoch: [73][9360/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 1.8813 (1.6657) Prec@1 50.000 (55.335) Prec@5 81.250 (84.088) Epoch: [73][9370/11272] Time 0.716 (0.786) Data 0.003 (0.002) Loss 1.6486 (1.6657) Prec@1 55.000 (55.334) Prec@5 86.250 (84.088) Epoch: [73][9380/11272] Time 0.746 (0.786) Data 0.002 (0.002) Loss 1.7729 (1.6657) Prec@1 48.125 (55.333) Prec@5 83.125 (84.087) Epoch: [73][9390/11272] Time 0.879 (0.786) Data 0.001 (0.002) Loss 1.6390 (1.6657) Prec@1 53.750 (55.333) Prec@5 87.500 (84.088) Epoch: [73][9400/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.5501 (1.6657) Prec@1 55.000 (55.332) Prec@5 85.000 (84.087) Epoch: [73][9410/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.6341 (1.6658) Prec@1 62.500 (55.331) Prec@5 83.125 (84.086) Epoch: [73][9420/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.9121 (1.6659) Prec@1 50.000 (55.330) Prec@5 82.500 (84.084) Epoch: [73][9430/11272] Time 0.827 (0.786) Data 0.001 (0.002) Loss 1.5902 (1.6659) Prec@1 56.875 (55.331) Prec@5 83.125 (84.084) Epoch: [73][9440/11272] Time 0.832 (0.786) Data 0.001 (0.002) Loss 1.5886 (1.6659) Prec@1 56.875 (55.328) Prec@5 86.250 (84.085) Epoch: [73][9450/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.6810 (1.6660) Prec@1 53.750 (55.327) Prec@5 81.875 (84.084) Epoch: [73][9460/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 2.0351 (1.6659) Prec@1 43.125 (55.327) Prec@5 78.125 (84.085) Epoch: [73][9470/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.5949 (1.6659) Prec@1 57.500 (55.328) Prec@5 84.375 (84.086) Epoch: [73][9480/11272] Time 0.817 (0.786) Data 0.001 (0.002) Loss 1.7069 (1.6660) Prec@1 50.625 (55.326) Prec@5 83.125 (84.085) Epoch: [73][9490/11272] Time 0.728 (0.786) Data 0.001 (0.002) Loss 1.6612 (1.6660) Prec@1 55.625 (55.326) Prec@5 85.000 (84.085) Epoch: [73][9500/11272] Time 0.816 (0.786) Data 0.001 (0.002) Loss 1.8535 (1.6661) Prec@1 49.375 (55.326) Prec@5 81.250 (84.084) Epoch: [73][9510/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.4534 (1.6660) Prec@1 61.875 (55.328) Prec@5 89.375 (84.085) Epoch: [73][9520/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.6150 (1.6660) Prec@1 60.625 (55.330) Prec@5 85.625 (84.085) Epoch: [73][9530/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.7437 (1.6660) Prec@1 51.875 (55.329) Prec@5 85.000 (84.085) Epoch: [73][9540/11272] Time 0.868 (0.786) Data 0.002 (0.002) Loss 1.8266 (1.6661) Prec@1 53.125 (55.327) Prec@5 80.625 (84.084) Epoch: [73][9550/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.6854 (1.6661) Prec@1 55.000 (55.328) Prec@5 86.250 (84.084) Epoch: [73][9560/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6198 (1.6661) Prec@1 54.375 (55.327) Prec@5 82.500 (84.083) Epoch: [73][9570/11272] Time 0.718 (0.786) Data 0.002 (0.002) Loss 1.6221 (1.6661) Prec@1 61.875 (55.328) Prec@5 85.000 (84.082) Epoch: [73][9580/11272] Time 0.844 (0.786) Data 0.001 (0.002) Loss 1.4492 (1.6661) Prec@1 57.500 (55.327) Prec@5 88.750 (84.083) Epoch: [73][9590/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.7608 (1.6661) Prec@1 51.875 (55.327) Prec@5 85.000 (84.083) Epoch: [73][9600/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.8398 (1.6661) Prec@1 50.625 (55.327) Prec@5 81.875 (84.083) Epoch: [73][9610/11272] Time 0.766 (0.786) Data 0.001 (0.002) Loss 1.7434 (1.6663) Prec@1 51.875 (55.324) Prec@5 82.500 (84.080) Epoch: [73][9620/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.8535 (1.6663) Prec@1 52.500 (55.323) Prec@5 78.125 (84.080) Epoch: [73][9630/11272] Time 0.733 (0.786) Data 0.003 (0.002) Loss 1.4490 (1.6663) Prec@1 61.875 (55.322) Prec@5 86.250 (84.080) Epoch: [73][9640/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.7545 (1.6664) Prec@1 54.375 (55.321) Prec@5 83.750 (84.079) Epoch: [73][9650/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 1.8361 (1.6663) Prec@1 49.375 (55.321) Prec@5 80.625 (84.079) Epoch: [73][9660/11272] Time 0.879 (0.786) Data 0.001 (0.002) Loss 1.7313 (1.6663) Prec@1 52.500 (55.321) Prec@5 82.500 (84.079) Epoch: [73][9670/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.6352 (1.6664) Prec@1 60.000 (55.322) Prec@5 84.375 (84.079) Epoch: [73][9680/11272] Time 0.703 (0.786) Data 0.001 (0.002) Loss 1.6429 (1.6664) Prec@1 53.125 (55.321) Prec@5 85.000 (84.078) Epoch: [73][9690/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 1.6014 (1.6663) Prec@1 58.125 (55.324) Prec@5 85.000 (84.078) Epoch: [73][9700/11272] Time 0.841 (0.786) Data 0.001 (0.002) Loss 1.7544 (1.6664) Prec@1 54.375 (55.322) Prec@5 83.750 (84.077) Epoch: [73][9710/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.7486 (1.6664) Prec@1 47.500 (55.320) Prec@5 86.250 (84.077) Epoch: [73][9720/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.6785 (1.6665) Prec@1 57.500 (55.320) Prec@5 85.000 (84.077) Epoch: [73][9730/11272] Time 0.820 (0.786) Data 0.001 (0.002) Loss 1.8274 (1.6665) Prec@1 50.625 (55.319) Prec@5 84.375 (84.078) Epoch: [73][9740/11272] Time 0.880 (0.786) Data 0.001 (0.002) Loss 1.5543 (1.6664) Prec@1 58.750 (55.319) Prec@5 85.000 (84.079) Epoch: [73][9750/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.4918 (1.6664) Prec@1 61.875 (55.318) Prec@5 88.125 (84.079) Epoch: [73][9760/11272] Time 0.785 (0.786) Data 0.001 (0.002) Loss 1.4733 (1.6664) Prec@1 58.750 (55.318) Prec@5 87.500 (84.078) Epoch: [73][9770/11272] Time 0.826 (0.786) Data 0.002 (0.002) Loss 1.9712 (1.6664) Prec@1 51.875 (55.319) Prec@5 79.375 (84.078) Epoch: [73][9780/11272] Time 0.717 (0.786) Data 0.001 (0.002) Loss 1.6222 (1.6665) Prec@1 56.250 (55.318) Prec@5 85.625 (84.077) Epoch: [73][9790/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.7253 (1.6665) Prec@1 56.250 (55.319) Prec@5 83.750 (84.078) Epoch: [73][9800/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.7717 (1.6665) Prec@1 55.625 (55.317) Prec@5 78.750 (84.076) Epoch: [73][9810/11272] Time 0.846 (0.786) Data 0.002 (0.002) Loss 1.7110 (1.6666) Prec@1 57.500 (55.316) Prec@5 86.875 (84.076) Epoch: [73][9820/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.7084 (1.6666) Prec@1 53.125 (55.316) Prec@5 87.500 (84.076) Epoch: [73][9830/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.5349 (1.6666) Prec@1 53.125 (55.316) Prec@5 86.875 (84.078) Epoch: [73][9840/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.8009 (1.6665) Prec@1 48.750 (55.315) Prec@5 83.750 (84.079) Epoch: [73][9850/11272] Time 0.847 (0.786) Data 0.001 (0.002) Loss 1.7516 (1.6666) Prec@1 55.625 (55.315) Prec@5 82.500 (84.080) Epoch: [73][9860/11272] Time 0.708 (0.786) Data 0.001 (0.002) Loss 1.8578 (1.6666) Prec@1 50.625 (55.316) Prec@5 80.000 (84.079) Epoch: [73][9870/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.6535 (1.6666) Prec@1 54.375 (55.315) Prec@5 86.875 (84.079) Epoch: [73][9880/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 1.6818 (1.6666) Prec@1 53.125 (55.314) Prec@5 87.500 (84.079) Epoch: [73][9890/11272] Time 0.876 (0.786) Data 0.002 (0.002) Loss 1.4968 (1.6666) Prec@1 58.750 (55.314) Prec@5 83.750 (84.079) Epoch: [73][9900/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.9179 (1.6666) Prec@1 51.250 (55.317) Prec@5 81.875 (84.080) Epoch: [73][9910/11272] Time 0.821 (0.786) Data 0.001 (0.002) Loss 1.5711 (1.6666) Prec@1 56.875 (55.314) Prec@5 84.375 (84.079) Epoch: [73][9920/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.7570 (1.6666) Prec@1 56.875 (55.313) Prec@5 80.000 (84.079) Epoch: [73][9930/11272] Time 0.770 (0.786) Data 0.002 (0.002) Loss 1.6144 (1.6666) Prec@1 58.125 (55.313) Prec@5 83.750 (84.078) Epoch: [73][9940/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.4311 (1.6666) Prec@1 65.000 (55.314) Prec@5 89.375 (84.078) Epoch: [73][9950/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.4419 (1.6666) Prec@1 61.875 (55.315) Prec@5 83.750 (84.079) Epoch: [73][9960/11272] Time 0.885 (0.786) Data 0.002 (0.002) Loss 1.9259 (1.6665) Prec@1 51.875 (55.317) Prec@5 76.875 (84.079) Epoch: [73][9970/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8952 (1.6666) Prec@1 50.000 (55.314) Prec@5 78.125 (84.078) Epoch: [73][9980/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.7434 (1.6665) Prec@1 56.250 (55.318) Prec@5 84.375 (84.080) Epoch: [73][9990/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.8040 (1.6667) Prec@1 51.250 (55.313) Prec@5 83.750 (84.078) Epoch: [73][10000/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.5238 (1.6667) Prec@1 58.125 (55.312) Prec@5 89.375 (84.079) Epoch: [73][10010/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 1.7755 (1.6667) Prec@1 51.250 (55.312) Prec@5 84.375 (84.079) Epoch: [73][10020/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.7489 (1.6667) Prec@1 53.750 (55.312) Prec@5 80.625 (84.079) Epoch: [73][10030/11272] Time 0.839 (0.786) Data 0.002 (0.002) Loss 1.7201 (1.6667) Prec@1 55.625 (55.312) Prec@5 81.875 (84.078) Epoch: [73][10040/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.3862 (1.6667) Prec@1 63.125 (55.312) Prec@5 90.625 (84.079) Epoch: [73][10050/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.6100 (1.6667) Prec@1 55.625 (55.311) Prec@5 81.875 (84.078) Epoch: [73][10060/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.7660 (1.6668) Prec@1 57.500 (55.307) Prec@5 83.125 (84.077) Epoch: [73][10070/11272] Time 0.812 (0.786) Data 0.001 (0.002) Loss 1.7788 (1.6668) Prec@1 53.125 (55.308) Prec@5 82.500 (84.077) Epoch: [73][10080/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 1.9302 (1.6669) Prec@1 48.750 (55.307) Prec@5 78.750 (84.076) Epoch: [73][10090/11272] Time 0.758 (0.786) Data 0.002 (0.002) Loss 1.5531 (1.6668) Prec@1 58.125 (55.309) Prec@5 86.250 (84.075) Epoch: [73][10100/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.5284 (1.6668) Prec@1 60.000 (55.309) Prec@5 87.500 (84.075) Epoch: [73][10110/11272] Time 0.830 (0.786) Data 0.001 (0.002) Loss 1.9166 (1.6669) Prec@1 51.875 (55.308) Prec@5 83.125 (84.073) Epoch: [73][10120/11272] Time 0.719 (0.786) Data 0.001 (0.002) Loss 1.7492 (1.6670) Prec@1 55.625 (55.305) Prec@5 85.000 (84.071) Epoch: [73][10130/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 2.0466 (1.6671) Prec@1 50.625 (55.302) Prec@5 76.875 (84.070) Epoch: [73][10140/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.8407 (1.6672) Prec@1 46.875 (55.301) Prec@5 81.250 (84.068) Epoch: [73][10150/11272] Time 0.859 (0.786) Data 0.001 (0.002) Loss 1.6545 (1.6672) Prec@1 55.000 (55.302) Prec@5 86.250 (84.070) Epoch: [73][10160/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 1.6119 (1.6671) Prec@1 56.250 (55.302) Prec@5 84.375 (84.070) Epoch: [73][10170/11272] Time 0.835 (0.786) Data 0.002 (0.002) Loss 1.8664 (1.6672) Prec@1 51.875 (55.302) Prec@5 80.625 (84.069) Epoch: [73][10180/11272] Time 0.886 (0.786) Data 0.002 (0.002) Loss 1.6895 (1.6671) Prec@1 51.250 (55.303) Prec@5 80.000 (84.070) Epoch: [73][10190/11272] Time 0.721 (0.786) Data 0.002 (0.002) Loss 1.6435 (1.6671) Prec@1 55.625 (55.303) Prec@5 83.750 (84.069) Epoch: [73][10200/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.6617 (1.6672) Prec@1 56.875 (55.303) Prec@5 84.375 (84.069) Epoch: [73][10210/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 1.8294 (1.6671) Prec@1 49.375 (55.303) Prec@5 80.625 (84.069) Epoch: [73][10220/11272] Time 0.864 (0.786) Data 0.002 (0.002) Loss 1.5164 (1.6672) Prec@1 58.125 (55.304) Prec@5 89.375 (84.070) Epoch: [73][10230/11272] Time 0.741 (0.786) Data 0.001 (0.002) Loss 1.6687 (1.6672) Prec@1 57.500 (55.302) Prec@5 83.750 (84.069) Epoch: [73][10240/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.7327 (1.6672) Prec@1 57.500 (55.303) Prec@5 85.000 (84.070) Epoch: [73][10250/11272] Time 0.857 (0.786) Data 0.002 (0.002) Loss 1.6651 (1.6672) Prec@1 56.250 (55.303) Prec@5 83.750 (84.071) Epoch: [73][10260/11272] Time 0.829 (0.786) Data 0.001 (0.002) Loss 1.5884 (1.6672) Prec@1 54.375 (55.301) Prec@5 87.500 (84.070) Epoch: [73][10270/11272] Time 0.735 (0.786) Data 0.001 (0.002) Loss 1.6827 (1.6672) Prec@1 56.875 (55.300) Prec@5 86.875 (84.070) Epoch: [73][10280/11272] Time 0.702 (0.786) Data 0.001 (0.002) Loss 1.6074 (1.6672) Prec@1 50.625 (55.299) Prec@5 84.375 (84.070) Epoch: [73][10290/11272] Time 0.846 (0.786) Data 0.001 (0.002) Loss 1.9174 (1.6673) Prec@1 51.875 (55.298) Prec@5 78.750 (84.069) Epoch: [73][10300/11272] Time 0.760 (0.786) Data 0.003 (0.002) Loss 1.6267 (1.6673) Prec@1 56.875 (55.297) Prec@5 85.000 (84.069) Epoch: [73][10310/11272] Time 0.736 (0.786) Data 0.001 (0.002) Loss 1.7186 (1.6673) Prec@1 53.125 (55.296) Prec@5 83.750 (84.070) Epoch: [73][10320/11272] Time 0.848 (0.786) Data 0.001 (0.002) Loss 1.8098 (1.6673) Prec@1 48.750 (55.294) Prec@5 79.375 (84.069) Epoch: [73][10330/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.5127 (1.6674) Prec@1 57.500 (55.292) Prec@5 88.125 (84.068) Epoch: [73][10340/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.4758 (1.6674) Prec@1 58.750 (55.292) Prec@5 87.500 (84.068) Epoch: [73][10350/11272] Time 0.705 (0.786) Data 0.001 (0.002) Loss 1.6768 (1.6675) Prec@1 53.750 (55.291) Prec@5 86.250 (84.067) Epoch: [73][10360/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 1.7732 (1.6675) Prec@1 53.750 (55.290) Prec@5 84.375 (84.067) Epoch: [73][10370/11272] Time 0.879 (0.786) Data 0.002 (0.002) Loss 1.8003 (1.6675) Prec@1 53.750 (55.291) Prec@5 80.000 (84.068) Epoch: [73][10380/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.8865 (1.6675) Prec@1 48.750 (55.291) Prec@5 76.875 (84.067) Epoch: [73][10390/11272] Time 0.734 (0.786) Data 0.001 (0.002) Loss 1.7860 (1.6676) Prec@1 51.875 (55.288) Prec@5 85.625 (84.067) Epoch: [73][10400/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.6385 (1.6675) Prec@1 56.875 (55.289) Prec@5 86.875 (84.069) Epoch: [73][10410/11272] Time 0.856 (0.786) Data 0.002 (0.002) Loss 1.6597 (1.6675) Prec@1 55.625 (55.288) Prec@5 85.000 (84.068) Epoch: [73][10420/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.7116 (1.6675) Prec@1 54.375 (55.288) Prec@5 84.375 (84.070) Epoch: [73][10430/11272] Time 0.821 (0.786) Data 0.002 (0.002) Loss 1.5459 (1.6674) Prec@1 58.750 (55.291) Prec@5 85.625 (84.072) Epoch: [73][10440/11272] Time 0.827 (0.786) Data 0.002 (0.002) Loss 1.8664 (1.6675) Prec@1 55.625 (55.290) Prec@5 80.625 (84.072) Epoch: [73][10450/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.6781 (1.6674) Prec@1 58.750 (55.292) Prec@5 81.250 (84.073) Epoch: [73][10460/11272] Time 0.772 (0.786) Data 0.002 (0.002) Loss 1.5556 (1.6674) Prec@1 61.250 (55.293) Prec@5 88.125 (84.074) Epoch: [73][10470/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.7414 (1.6674) Prec@1 49.375 (55.292) Prec@5 82.500 (84.073) Epoch: [73][10480/11272] Time 0.853 (0.786) Data 0.002 (0.002) Loss 1.5133 (1.6674) Prec@1 58.750 (55.290) Prec@5 88.125 (84.074) Epoch: [73][10490/11272] Time 0.745 (0.786) Data 0.002 (0.002) Loss 1.6755 (1.6674) Prec@1 56.875 (55.290) Prec@5 83.125 (84.073) Epoch: [73][10500/11272] Time 0.744 (0.786) Data 0.002 (0.002) Loss 1.5408 (1.6674) Prec@1 59.375 (55.290) Prec@5 86.250 (84.073) Epoch: [73][10510/11272] Time 0.849 (0.786) Data 0.002 (0.002) Loss 1.5686 (1.6674) Prec@1 52.500 (55.289) Prec@5 86.250 (84.074) Epoch: [73][10520/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 1.8607 (1.6674) Prec@1 48.750 (55.289) Prec@5 80.625 (84.074) Epoch: [73][10530/11272] Time 0.737 (0.786) Data 0.002 (0.002) Loss 1.6737 (1.6674) Prec@1 55.000 (55.288) Prec@5 84.375 (84.075) Epoch: [73][10540/11272] Time 0.713 (0.786) Data 0.002 (0.002) Loss 1.6010 (1.6674) Prec@1 53.750 (55.288) Prec@5 88.750 (84.075) Epoch: [73][10550/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.6513 (1.6674) Prec@1 51.875 (55.288) Prec@5 85.000 (84.073) Epoch: [73][10560/11272] Time 0.745 (0.786) Data 0.003 (0.002) Loss 1.6518 (1.6675) Prec@1 61.250 (55.289) Prec@5 84.375 (84.071) Epoch: [73][10570/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.7175 (1.6676) Prec@1 47.500 (55.287) Prec@5 85.000 (84.071) Epoch: [73][10580/11272] Time 0.906 (0.786) Data 0.002 (0.002) Loss 1.8797 (1.6676) Prec@1 51.250 (55.287) Prec@5 79.375 (84.072) Epoch: [73][10590/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.7018 (1.6676) Prec@1 55.625 (55.288) Prec@5 83.125 (84.073) Epoch: [73][10600/11272] Time 0.796 (0.786) Data 0.002 (0.002) Loss 1.6744 (1.6675) Prec@1 53.750 (55.289) Prec@5 85.625 (84.075) Epoch: [73][10610/11272] Time 0.716 (0.786) Data 0.001 (0.002) Loss 1.7828 (1.6675) Prec@1 51.250 (55.290) Prec@5 83.125 (84.075) Epoch: [73][10620/11272] Time 0.863 (0.786) Data 0.002 (0.002) Loss 1.5877 (1.6676) Prec@1 56.875 (55.290) Prec@5 84.375 (84.073) Epoch: [73][10630/11272] Time 0.880 (0.786) Data 0.002 (0.002) Loss 1.7356 (1.6676) Prec@1 53.750 (55.291) Prec@5 78.750 (84.072) Epoch: [73][10640/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.8425 (1.6676) Prec@1 52.500 (55.290) Prec@5 80.625 (84.072) Epoch: [73][10650/11272] Time 0.734 (0.786) Data 0.002 (0.002) Loss 1.6128 (1.6676) Prec@1 61.875 (55.291) Prec@5 84.375 (84.072) Epoch: [73][10660/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 1.6339 (1.6676) Prec@1 53.750 (55.289) Prec@5 86.250 (84.073) Epoch: [73][10670/11272] Time 0.806 (0.786) Data 0.001 (0.002) Loss 1.7245 (1.6676) Prec@1 53.125 (55.288) Prec@5 83.750 (84.073) Epoch: [73][10680/11272] Time 0.749 (0.786) Data 0.002 (0.002) Loss 1.6075 (1.6676) Prec@1 57.500 (55.287) Prec@5 84.375 (84.073) Epoch: [73][10690/11272] Time 0.859 (0.786) Data 0.001 (0.002) Loss 1.5898 (1.6676) Prec@1 56.250 (55.286) Prec@5 84.375 (84.073) Epoch: [73][10700/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.4000 (1.6677) Prec@1 62.500 (55.285) Prec@5 91.250 (84.073) Epoch: [73][10710/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 1.5110 (1.6677) Prec@1 57.500 (55.284) Prec@5 85.000 (84.073) Epoch: [73][10720/11272] Time 0.700 (0.786) Data 0.002 (0.002) Loss 1.7660 (1.6677) Prec@1 50.000 (55.286) Prec@5 85.625 (84.074) Epoch: [73][10730/11272] Time 0.853 (0.786) Data 0.001 (0.002) Loss 1.6302 (1.6676) Prec@1 57.500 (55.287) Prec@5 85.000 (84.075) Epoch: [73][10740/11272] Time 0.850 (0.786) Data 0.002 (0.002) Loss 1.5091 (1.6676) Prec@1 60.000 (55.288) Prec@5 85.000 (84.075) Epoch: [73][10750/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.5634 (1.6675) Prec@1 58.750 (55.290) Prec@5 87.500 (84.077) Epoch: [73][10760/11272] Time 0.738 (0.786) Data 0.002 (0.002) Loss 1.6916 (1.6676) Prec@1 51.875 (55.289) Prec@5 83.125 (84.075) Epoch: [73][10770/11272] Time 0.854 (0.786) Data 0.001 (0.002) Loss 1.5014 (1.6675) Prec@1 61.875 (55.290) Prec@5 89.375 (84.076) Epoch: [73][10780/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.8609 (1.6675) Prec@1 49.375 (55.291) Prec@5 80.625 (84.076) Epoch: [73][10790/11272] Time 0.788 (0.786) Data 0.002 (0.002) Loss 1.8581 (1.6676) Prec@1 54.375 (55.291) Prec@5 83.125 (84.074) Epoch: [73][10800/11272] Time 0.713 (0.786) Data 0.001 (0.002) Loss 1.3822 (1.6676) Prec@1 60.000 (55.292) Prec@5 91.875 (84.075) Epoch: [73][10810/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.5400 (1.6676) Prec@1 63.125 (55.292) Prec@5 83.750 (84.075) Epoch: [73][10820/11272] Time 0.869 (0.786) Data 0.002 (0.002) Loss 1.7319 (1.6675) Prec@1 51.250 (55.294) Prec@5 83.750 (84.076) Epoch: [73][10830/11272] Time 0.711 (0.786) Data 0.001 (0.002) Loss 1.6427 (1.6676) Prec@1 53.750 (55.293) Prec@5 85.000 (84.075) Epoch: [73][10840/11272] Time 0.874 (0.786) Data 0.002 (0.002) Loss 1.5178 (1.6676) Prec@1 58.750 (55.295) Prec@5 87.500 (84.076) Epoch: [73][10850/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.8627 (1.6676) Prec@1 49.375 (55.294) Prec@5 78.750 (84.076) Epoch: [73][10860/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 1.7282 (1.6676) Prec@1 55.000 (55.294) Prec@5 84.375 (84.076) Epoch: [73][10870/11272] Time 0.736 (0.786) Data 0.002 (0.002) Loss 1.6872 (1.6676) Prec@1 57.500 (55.293) Prec@5 85.000 (84.076) Epoch: [73][10880/11272] Time 0.860 (0.786) Data 0.002 (0.002) Loss 1.5890 (1.6676) Prec@1 58.125 (55.295) Prec@5 83.750 (84.076) Epoch: [73][10890/11272] Time 0.834 (0.786) Data 0.002 (0.002) Loss 1.9503 (1.6676) Prec@1 49.375 (55.295) Prec@5 78.125 (84.076) Epoch: [73][10900/11272] Time 0.724 (0.786) Data 0.001 (0.002) Loss 1.8807 (1.6677) Prec@1 52.500 (55.294) Prec@5 80.000 (84.075) Epoch: [73][10910/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.3895 (1.6677) Prec@1 58.750 (55.294) Prec@5 91.250 (84.076) Epoch: [73][10920/11272] Time 0.805 (0.786) Data 0.001 (0.002) Loss 1.9947 (1.6677) Prec@1 51.250 (55.294) Prec@5 80.000 (84.075) Epoch: [73][10930/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 1.7951 (1.6677) Prec@1 51.875 (55.291) Prec@5 83.750 (84.074) Epoch: [73][10940/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.6404 (1.6677) Prec@1 55.625 (55.292) Prec@5 85.625 (84.074) Epoch: [73][10950/11272] Time 0.686 (0.786) Data 0.001 (0.002) Loss 1.6201 (1.6677) Prec@1 54.375 (55.292) Prec@5 86.250 (84.075) Epoch: [73][10960/11272] Time 0.822 (0.786) Data 0.001 (0.002) Loss 1.8510 (1.6677) Prec@1 50.000 (55.291) Prec@5 79.375 (84.075) Epoch: [73][10970/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 1.5576 (1.6678) Prec@1 53.750 (55.290) Prec@5 85.000 (84.076) Epoch: [73][10980/11272] Time 0.726 (0.786) Data 0.001 (0.002) Loss 1.5783 (1.6678) Prec@1 55.000 (55.290) Prec@5 86.250 (84.076) Epoch: [73][10990/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.6102 (1.6678) Prec@1 57.500 (55.290) Prec@5 82.500 (84.075) Epoch: [73][11000/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.8657 (1.6679) Prec@1 45.625 (55.287) Prec@5 80.000 (84.074) Epoch: [73][11010/11272] Time 0.721 (0.786) Data 0.001 (0.002) Loss 1.6841 (1.6679) Prec@1 57.500 (55.288) Prec@5 83.750 (84.073) Epoch: [73][11020/11272] Time 0.702 (0.786) Data 0.001 (0.002) Loss 1.4805 (1.6679) Prec@1 61.875 (55.290) Prec@5 86.875 (84.073) Epoch: [73][11030/11272] Time 0.834 (0.786) Data 0.001 (0.002) Loss 1.6724 (1.6679) Prec@1 53.125 (55.292) Prec@5 83.125 (84.072) Epoch: [73][11040/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.6779 (1.6679) Prec@1 53.750 (55.293) Prec@5 85.625 (84.073) Epoch: [73][11050/11272] Time 0.748 (0.786) Data 0.001 (0.002) Loss 1.7202 (1.6678) Prec@1 52.500 (55.292) Prec@5 86.250 (84.074) Epoch: [73][11060/11272] Time 0.688 (0.786) Data 0.001 (0.002) Loss 1.5951 (1.6679) Prec@1 55.000 (55.291) Prec@5 85.000 (84.074) Epoch: [73][11070/11272] Time 0.808 (0.786) Data 0.001 (0.002) Loss 1.5633 (1.6679) Prec@1 54.375 (55.289) Prec@5 86.875 (84.074) Epoch: [73][11080/11272] Time 0.846 (0.786) Data 0.002 (0.002) Loss 1.9499 (1.6679) Prec@1 45.625 (55.288) Prec@5 78.125 (84.074) Epoch: [73][11090/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.9939 (1.6680) Prec@1 51.250 (55.287) Prec@5 81.250 (84.072) Epoch: [73][11100/11272] Time 0.872 (0.786) Data 0.002 (0.002) Loss 1.3794 (1.6680) Prec@1 63.750 (55.286) Prec@5 86.875 (84.071) Epoch: [73][11110/11272] Time 0.819 (0.786) Data 0.001 (0.002) Loss 1.6252 (1.6680) Prec@1 54.375 (55.285) Prec@5 81.875 (84.070) Epoch: [73][11120/11272] Time 0.739 (0.786) Data 0.001 (0.002) Loss 1.5701 (1.6680) Prec@1 56.875 (55.285) Prec@5 85.625 (84.071) Epoch: [73][11130/11272] Time 0.754 (0.786) Data 0.001 (0.002) Loss 1.9221 (1.6681) Prec@1 51.250 (55.283) Prec@5 78.750 (84.068) Epoch: [73][11140/11272] Time 0.885 (0.786) Data 0.001 (0.002) Loss 1.5328 (1.6681) Prec@1 61.875 (55.285) Prec@5 85.000 (84.068) Epoch: [73][11150/11272] Time 0.859 (0.786) Data 0.002 (0.002) Loss 1.4473 (1.6681) Prec@1 63.125 (55.286) Prec@5 86.875 (84.068) Epoch: [73][11160/11272] Time 0.747 (0.786) Data 0.001 (0.002) Loss 1.7609 (1.6681) Prec@1 48.750 (55.286) Prec@5 84.375 (84.068) Epoch: [73][11170/11272] Time 0.712 (0.786) Data 0.001 (0.002) Loss 1.8230 (1.6681) Prec@1 47.500 (55.284) Prec@5 82.500 (84.067) Epoch: [73][11180/11272] Time 0.841 (0.786) Data 0.002 (0.002) Loss 1.7196 (1.6681) Prec@1 54.375 (55.284) Prec@5 85.625 (84.068) Epoch: [73][11190/11272] Time 0.833 (0.786) Data 0.001 (0.002) Loss 1.7885 (1.6682) Prec@1 51.875 (55.282) Prec@5 83.125 (84.067) Epoch: [73][11200/11272] Time 0.715 (0.786) Data 0.001 (0.002) Loss 1.8537 (1.6682) Prec@1 47.500 (55.280) Prec@5 81.250 (84.066) Epoch: [73][11210/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.6478 (1.6682) Prec@1 58.750 (55.281) Prec@5 81.875 (84.067) Epoch: [73][11220/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.5860 (1.6682) Prec@1 54.375 (55.280) Prec@5 83.750 (84.066) Epoch: [73][11230/11272] Time 0.733 (0.786) Data 0.003 (0.002) Loss 2.0205 (1.6683) Prec@1 44.375 (55.278) Prec@5 80.000 (84.065) Epoch: [73][11240/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.6811 (1.6683) Prec@1 56.875 (55.277) Prec@5 83.125 (84.064) Epoch: [73][11250/11272] Time 0.860 (0.786) Data 0.001 (0.002) Loss 1.5654 (1.6684) Prec@1 54.375 (55.278) Prec@5 88.125 (84.063) Epoch: [73][11260/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.5890 (1.6683) Prec@1 61.875 (55.280) Prec@5 84.375 (84.064) Epoch: [73][11270/11272] Time 0.725 (0.786) Data 0.000 (0.002) Loss 1.6315 (1.6683) Prec@1 53.125 (55.279) Prec@5 83.750 (84.064) Test: [0/229] Time 2.996 (2.996) Loss 1.0736 (1.0736) Prec@1 66.250 (66.250) Prec@5 95.625 (95.625) Test: [10/229] Time 0.387 (0.740) Loss 1.0550 (1.5965) Prec@1 68.750 (58.125) Prec@5 98.125 (87.784) Test: [20/229] Time 0.965 (0.651) Loss 2.1086 (1.6771) Prec@1 46.875 (55.387) Prec@5 78.125 (86.548) Test: [30/229] Time 0.405 (0.605) Loss 1.9659 (1.6190) Prec@1 43.125 (57.278) Prec@5 85.625 (87.056) Test: [40/229] Time 0.970 (0.593) Loss 0.4306 (1.6040) Prec@1 92.500 (57.256) Prec@5 94.375 (87.165) Test: [50/229] Time 0.325 (0.577) Loss 2.3650 (1.6558) Prec@1 31.875 (55.956) Prec@5 79.375 (86.042) Test: [60/229] Time 1.057 (0.577) Loss 1.9753 (1.6458) Prec@1 47.500 (56.117) Prec@5 85.625 (86.137) Test: [70/229] Time 0.345 (0.566) Loss 1.3541 (1.6531) Prec@1 72.500 (56.021) Prec@5 85.000 (86.021) Test: [80/229] Time 1.011 (0.566) Loss 2.0318 (1.6707) Prec@1 38.750 (55.139) Prec@5 83.750 (85.926) Test: [90/229] Time 0.326 (0.559) Loss 1.2527 (1.6780) Prec@1 68.750 (55.062) Prec@5 87.500 (85.879) Test: [100/229] Time 1.186 (0.563) Loss 2.0343 (1.6696) Prec@1 52.500 (55.421) Prec@5 83.125 (85.984) Test: [110/229] Time 0.334 (0.557) Loss 1.3351 (1.6498) Prec@1 62.500 (55.777) Prec@5 88.125 (86.120) Test: [120/229] Time 1.026 (0.557) Loss 2.6306 (1.6687) Prec@1 36.875 (55.212) Prec@5 77.500 (85.868) Test: [130/229] Time 0.370 (0.554) Loss 1.1185 (1.6506) Prec@1 64.375 (55.620) Prec@5 94.375 (86.045) Test: [140/229] Time 0.648 (0.554) Loss 1.6998 (1.6609) Prec@1 53.125 (55.368) Prec@5 85.625 (85.962) Test: [150/229] Time 0.421 (0.553) Loss 1.1481 (1.6759) Prec@1 72.500 (54.988) Prec@5 87.500 (85.757) Test: [160/229] Time 0.877 (0.553) Loss 1.7378 (1.6767) Prec@1 55.625 (54.891) Prec@5 85.000 (85.730) Test: [170/229] Time 0.383 (0.550) Loss 1.7043 (1.6870) Prec@1 55.625 (54.543) Prec@5 86.875 (85.621) Test: [180/229] Time 0.965 (0.552) Loss 2.2874 (1.6915) Prec@1 35.000 (54.503) Prec@5 76.875 (85.483) Test: [190/229] Time 0.353 (0.550) Loss 1.2679 (1.6817) Prec@1 63.750 (54.823) Prec@5 92.500 (85.560) Test: [200/229] Time 1.053 (0.551) Loss 1.8999 (1.6756) Prec@1 42.500 (54.776) Prec@5 80.625 (85.681) Test: [210/229] Time 0.337 (0.548) Loss 1.0228 (1.6647) Prec@1 69.375 (55.145) Prec@5 94.375 (85.782) Test: [220/229] Time 1.141 (0.550) Loss 1.5610 (1.6563) Prec@1 56.875 (55.458) Prec@5 88.125 (85.812) * Prec@1 55.718 Prec@5 85.878 Epoch: [74][0/11272] Time 4.607 (4.607) Data 3.643 (3.643) Loss 2.0112 (2.0112) Prec@1 50.000 (50.000) Prec@5 79.375 (79.375) Epoch: [74][10/11272] Time 0.740 (1.115) Data 0.002 (0.333) Loss 1.6873 (1.6671) Prec@1 57.500 (56.193) Prec@5 81.875 (83.636) Epoch: [74][20/11272] Time 0.815 (0.962) Data 0.001 (0.175) Loss 1.4475 (1.6217) Prec@1 57.500 (56.131) Prec@5 86.250 (84.077) Epoch: [74][30/11272] Time 0.832 (0.900) Data 0.002 (0.119) Loss 1.4870 (1.6156) Prec@1 58.750 (56.109) Prec@5 88.125 (84.556) Epoch: [74][40/11272] Time 0.742 (0.871) Data 0.001 (0.090) Loss 1.6376 (1.6207) Prec@1 52.500 (56.326) Prec@5 80.000 (84.329) Epoch: [74][50/11272] Time 0.739 (0.854) Data 0.002 (0.073) Loss 1.5149 (1.6258) Prec@1 59.375 (55.760) Prec@5 85.625 (84.473) Epoch: [74][60/11272] Time 0.814 (0.842) Data 0.002 (0.061) Loss 1.6971 (1.6324) Prec@1 56.250 (55.707) Prec@5 84.375 (84.314) Epoch: [74][70/11272] Time 0.816 (0.833) Data 0.002 (0.053) Loss 1.7103 (1.6333) Prec@1 56.250 (55.810) Prec@5 82.500 (84.287) Epoch: [74][80/11272] Time 0.712 (0.825) Data 0.001 (0.046) Loss 1.8148 (1.6431) Prec@1 53.125 (55.478) Prec@5 79.375 (84.105) Epoch: [74][90/11272] Time 0.709 (0.821) Data 0.001 (0.042) Loss 1.8675 (1.6501) Prec@1 47.500 (55.371) Prec@5 81.250 (84.114) Epoch: [74][100/11272] Time 0.834 (0.819) Data 0.002 (0.038) Loss 1.5804 (1.6458) Prec@1 52.500 (55.384) Prec@5 87.500 (84.251) Epoch: [74][110/11272] Time 0.846 (0.816) Data 0.002 (0.034) Loss 1.7129 (1.6466) Prec@1 53.125 (55.338) Prec@5 82.500 (84.184) Epoch: [74][120/11272] Time 0.713 (0.813) Data 0.002 (0.032) Loss 1.4458 (1.6519) Prec@1 58.125 (55.232) Prec@5 91.250 (84.184) Epoch: [74][130/11272] Time 0.734 (0.812) Data 0.002 (0.029) Loss 1.4876 (1.6553) Prec@1 54.375 (55.143) Prec@5 88.125 (84.094) Epoch: [74][140/11272] Time 0.847 (0.810) Data 0.002 (0.027) Loss 1.6633 (1.6533) Prec@1 55.000 (55.248) Prec@5 83.125 (84.171) Epoch: [74][150/11272] Time 0.834 (0.808) Data 0.002 (0.026) Loss 1.4607 (1.6544) Prec@1 62.500 (55.182) Prec@5 85.625 (84.205) Epoch: [74][160/11272] Time 0.755 (0.806) Data 0.002 (0.024) Loss 1.6277 (1.6524) Prec@1 56.250 (55.225) Prec@5 81.875 (84.239) Epoch: [74][170/11272] Time 0.864 (0.805) Data 0.002 (0.023) Loss 1.6955 (1.6485) Prec@1 53.750 (55.340) Prec@5 86.250 (84.331) Epoch: [74][180/11272] Time 0.841 (0.804) Data 0.001 (0.022) Loss 1.8819 (1.6505) Prec@1 51.250 (55.266) Prec@5 80.625 (84.365) Epoch: [74][190/11272] Time 0.727 (0.802) Data 0.002 (0.021) Loss 1.5291 (1.6503) Prec@1 58.125 (55.304) Prec@5 84.375 (84.375) Epoch: [74][200/11272] Time 0.734 (0.802) Data 0.001 (0.020) Loss 1.7133 (1.6516) Prec@1 55.625 (55.305) Prec@5 85.000 (84.387) Epoch: [74][210/11272] Time 0.839 (0.801) Data 0.002 (0.019) Loss 1.5386 (1.6510) Prec@1 60.000 (55.347) Prec@5 82.500 (84.393) Epoch: [74][220/11272] Time 0.891 (0.801) Data 0.002 (0.018) Loss 1.7115 (1.6531) Prec@1 59.375 (55.314) Prec@5 78.750 (84.335) Epoch: [74][230/11272] Time 0.737 (0.800) Data 0.001 (0.017) Loss 1.7743 (1.6530) Prec@1 58.750 (55.338) Prec@5 80.625 (84.307) Epoch: [74][240/11272] Time 0.709 (0.798) Data 0.001 (0.017) Loss 1.7052 (1.6540) Prec@1 55.000 (55.355) Prec@5 83.125 (84.326) Epoch: [74][250/11272] Time 0.841 (0.798) Data 0.002 (0.016) Loss 1.7947 (1.6544) Prec@1 52.500 (55.326) Prec@5 81.250 (84.305) Epoch: [74][260/11272] Time 0.823 (0.798) Data 0.002 (0.015) Loss 1.8217 (1.6512) Prec@1 53.125 (55.421) Prec@5 80.625 (84.368) Epoch: [74][270/11272] Time 0.735 (0.797) Data 0.001 (0.015) Loss 1.6101 (1.6503) Prec@1 56.875 (55.438) Prec@5 83.750 (84.370) Epoch: [74][280/11272] Time 0.741 (0.797) Data 0.002 (0.015) Loss 1.6695 (1.6525) Prec@1 59.375 (55.403) Prec@5 85.000 (84.335) Epoch: [74][290/11272] Time 0.838 (0.796) Data 0.002 (0.014) Loss 1.7359 (1.6537) Prec@1 55.625 (55.333) Prec@5 80.000 (84.304) Epoch: [74][300/11272] Time 0.710 (0.796) Data 0.001 (0.014) Loss 1.5458 (1.6524) Prec@1 56.250 (55.370) Prec@5 83.125 (84.333) Epoch: [74][310/11272] Time 0.742 (0.796) Data 0.001 (0.013) Loss 1.6624 (1.6533) Prec@1 51.250 (55.364) Prec@5 85.000 (84.303) Epoch: [74][320/11272] Time 0.825 (0.795) Data 0.001 (0.013) Loss 1.7901 (1.6531) Prec@1 56.250 (55.362) Prec@5 80.625 (84.320) Epoch: [74][330/11272] Time 0.833 (0.795) Data 0.002 (0.013) Loss 1.7509 (1.6530) Prec@1 56.875 (55.366) Prec@5 81.250 (84.347) Epoch: [74][340/11272] Time 0.714 (0.795) Data 0.002 (0.012) Loss 1.6766 (1.6503) Prec@1 56.875 (55.425) Prec@5 85.625 (84.379) Epoch: [74][350/11272] Time 0.701 (0.795) Data 0.001 (0.012) Loss 1.5748 (1.6492) Prec@1 58.125 (55.477) Prec@5 83.125 (84.384) Epoch: [74][360/11272] Time 0.837 (0.794) Data 0.002 (0.012) Loss 1.6830 (1.6493) Prec@1 55.000 (55.457) Prec@5 81.875 (84.392) Epoch: [74][370/11272] Time 0.841 (0.794) Data 0.002 (0.011) Loss 1.7035 (1.6514) Prec@1 57.500 (55.414) Prec@5 84.375 (84.356) Epoch: [74][380/11272] Time 0.752 (0.793) Data 0.002 (0.011) Loss 1.7762 (1.6481) Prec@1 56.250 (55.513) Prec@5 82.500 (84.419) Epoch: [74][390/11272] Time 0.733 (0.793) Data 0.002 (0.011) Loss 1.4492 (1.6486) Prec@1 61.875 (55.510) Prec@5 85.000 (84.425) Epoch: [74][400/11272] Time 0.883 (0.793) Data 0.002 (0.011) Loss 1.5498 (1.6502) Prec@1 61.250 (55.503) Prec@5 80.625 (84.386) Epoch: [74][410/11272] Time 0.839 (0.793) Data 0.002 (0.010) Loss 1.6238 (1.6504) Prec@1 55.000 (55.485) Prec@5 85.000 (84.378) Epoch: [74][420/11272] Time 0.716 (0.793) Data 0.001 (0.010) Loss 1.4991 (1.6487) Prec@1 59.375 (55.524) Prec@5 87.500 (84.399) Epoch: [74][430/11272] Time 0.843 (0.793) Data 0.002 (0.010) Loss 1.5891 (1.6491) Prec@1 55.625 (55.493) Prec@5 82.500 (84.385) Epoch: [74][440/11272] Time 0.832 (0.792) Data 0.002 (0.010) Loss 1.6598 (1.6474) Prec@1 61.875 (55.547) Prec@5 81.250 (84.406) Epoch: [74][450/11272] Time 0.720 (0.792) Data 0.002 (0.010) Loss 1.7130 (1.6465) Prec@1 53.750 (55.586) Prec@5 78.125 (84.417) Epoch: [74][460/11272] Time 0.712 (0.792) Data 0.001 (0.009) Loss 1.5148 (1.6465) Prec@1 53.125 (55.575) Prec@5 86.875 (84.416) Epoch: [74][470/11272] Time 0.876 (0.792) Data 0.002 (0.009) Loss 1.8109 (1.6466) Prec@1 50.625 (55.535) Prec@5 81.875 (84.420) Epoch: [74][480/11272] Time 0.848 (0.792) Data 0.002 (0.009) Loss 1.6967 (1.6450) Prec@1 58.125 (55.577) Prec@5 83.125 (84.446) Epoch: [74][490/11272] Time 0.716 (0.791) Data 0.001 (0.009) Loss 1.7170 (1.6431) Prec@1 54.375 (55.615) Prec@5 79.375 (84.470) Epoch: [74][500/11272] Time 0.747 (0.791) Data 0.001 (0.009) Loss 1.6530 (1.6444) Prec@1 54.375 (55.571) Prec@5 85.000 (84.452) Epoch: [74][510/11272] Time 0.836 (0.791) Data 0.002 (0.009) Loss 1.6088 (1.6441) Prec@1 60.000 (55.592) Prec@5 83.125 (84.436) Epoch: [74][520/11272] Time 0.822 (0.791) Data 0.001 (0.009) Loss 1.7322 (1.6431) Prec@1 48.125 (55.595) Prec@5 83.750 (84.461) Epoch: [74][530/11272] Time 0.718 (0.791) Data 0.001 (0.008) Loss 1.7822 (1.6440) Prec@1 49.375 (55.560) Prec@5 82.500 (84.466) Epoch: [74][540/11272] Time 0.741 (0.791) Data 0.001 (0.008) Loss 1.7589 (1.6447) Prec@1 53.125 (55.557) Prec@5 82.500 (84.445) Epoch: [74][550/11272] Time 0.826 (0.791) Data 0.001 (0.008) Loss 1.7165 (1.6454) Prec@1 52.500 (55.550) Prec@5 85.000 (84.436) Epoch: [74][560/11272] Time 0.728 (0.791) Data 0.003 (0.008) Loss 1.4060 (1.6439) Prec@1 60.000 (55.579) Prec@5 87.500 (84.462) Epoch: [74][570/11272] Time 0.746 (0.790) Data 0.002 (0.008) Loss 1.7249 (1.6437) Prec@1 48.125 (55.581) Prec@5 83.750 (84.466) Epoch: [74][580/11272] Time 0.837 (0.791) Data 0.001 (0.008) Loss 1.8424 (1.6451) Prec@1 50.000 (55.562) Prec@5 83.125 (84.430) Epoch: [74][590/11272] Time 0.859 (0.791) Data 0.002 (0.008) Loss 1.5468 (1.6462) Prec@1 62.500 (55.556) Prec@5 87.500 (84.418) Epoch: [74][600/11272] Time 0.740 (0.790) Data 0.001 (0.008) Loss 1.8075 (1.6477) Prec@1 51.875 (55.546) Prec@5 81.250 (84.394) Epoch: [74][610/11272] Time 0.743 (0.790) Data 0.001 (0.008) Loss 1.6623 (1.6470) Prec@1 59.375 (55.567) Prec@5 83.125 (84.410) Epoch: [74][620/11272] Time 0.823 (0.790) Data 0.001 (0.007) Loss 1.6035 (1.6475) Prec@1 56.875 (55.570) Prec@5 84.375 (84.402) Epoch: [74][630/11272] Time 0.822 (0.790) Data 0.002 (0.007) Loss 1.6545 (1.6477) Prec@1 53.750 (55.555) Prec@5 83.750 (84.396) Epoch: [74][640/11272] Time 0.745 (0.790) Data 0.002 (0.007) Loss 1.7676 (1.6478) Prec@1 50.000 (55.563) Prec@5 82.500 (84.397) Epoch: [74][650/11272] Time 0.716 (0.790) Data 0.002 (0.007) Loss 1.5981 (1.6471) Prec@1 58.750 (55.586) Prec@5 86.250 (84.411) Epoch: [74][660/11272] Time 0.821 (0.790) Data 0.002 (0.007) Loss 1.7850 (1.6472) Prec@1 51.250 (55.599) Prec@5 86.250 (84.418) Epoch: [74][670/11272] Time 0.842 (0.790) Data 0.002 (0.007) Loss 1.5216 (1.6477) Prec@1 54.375 (55.571) Prec@5 89.375 (84.422) Epoch: [74][680/11272] Time 0.758 (0.790) Data 0.001 (0.007) Loss 1.7093 (1.6477) Prec@1 53.750 (55.571) Prec@5 82.500 (84.427) Epoch: [74][690/11272] Time 0.820 (0.790) Data 0.001 (0.007) Loss 1.7367 (1.6476) Prec@1 55.000 (55.565) Prec@5 83.750 (84.438) Epoch: [74][700/11272] Time 0.903 (0.790) Data 0.002 (0.007) Loss 1.6338 (1.6481) Prec@1 58.125 (55.553) Prec@5 86.250 (84.443) Epoch: [74][710/11272] Time 0.712 (0.790) Data 0.001 (0.007) Loss 1.6631 (1.6479) Prec@1 56.875 (55.572) Prec@5 80.625 (84.442) Epoch: [74][720/11272] Time 0.711 (0.789) Data 0.002 (0.007) Loss 1.6512 (1.6476) Prec@1 55.000 (55.570) Prec@5 83.125 (84.458) Epoch: [74][730/11272] Time 0.786 (0.789) Data 0.001 (0.007) Loss 1.6018 (1.6467) Prec@1 57.500 (55.588) Prec@5 85.000 (84.479) Epoch: [74][740/11272] Time 0.818 (0.789) Data 0.001 (0.006) Loss 1.5745 (1.6470) Prec@1 58.125 (55.581) Prec@5 87.500 (84.482) Epoch: [74][750/11272] Time 0.705 (0.789) Data 0.001 (0.006) Loss 1.7101 (1.6479) Prec@1 54.375 (55.568) Prec@5 83.750 (84.467) Epoch: [74][760/11272] Time 0.712 (0.789) Data 0.001 (0.006) Loss 1.5188 (1.6477) Prec@1 56.875 (55.585) Prec@5 90.000 (84.465) Epoch: [74][770/11272] Time 0.846 (0.789) Data 0.002 (0.006) Loss 1.4606 (1.6480) Prec@1 60.625 (55.577) Prec@5 89.375 (84.460) Epoch: [74][780/11272] Time 0.850 (0.789) Data 0.002 (0.006) Loss 1.5785 (1.6491) Prec@1 56.250 (55.574) Prec@5 87.500 (84.425) Epoch: [74][790/11272] Time 0.707 (0.789) Data 0.001 (0.006) Loss 1.5743 (1.6489) Prec@1 59.375 (55.574) Prec@5 85.000 (84.436) Epoch: [74][800/11272] Time 0.732 (0.789) Data 0.002 (0.006) Loss 1.4761 (1.6487) Prec@1 58.125 (55.572) Prec@5 88.125 (84.447) Epoch: [74][810/11272] Time 0.816 (0.789) Data 0.002 (0.006) Loss 1.5977 (1.6482) Prec@1 55.000 (55.588) Prec@5 83.750 (84.445) Epoch: [74][820/11272] Time 0.745 (0.789) Data 0.003 (0.006) Loss 1.7255 (1.6481) Prec@1 51.250 (55.573) Prec@5 80.625 (84.434) Epoch: [74][830/11272] Time 0.726 (0.789) Data 0.001 (0.006) Loss 1.5173 (1.6478) Prec@1 53.125 (55.563) Prec@5 86.250 (84.436) Epoch: [74][840/11272] Time 0.860 (0.789) Data 0.002 (0.006) Loss 1.6468 (1.6469) Prec@1 52.500 (55.595) Prec@5 83.750 (84.455) Epoch: [74][850/11272] Time 0.852 (0.789) Data 0.001 (0.006) Loss 1.7090 (1.6463) Prec@1 56.250 (55.611) Prec@5 83.750 (84.477) Epoch: [74][860/11272] Time 0.743 (0.789) Data 0.002 (0.006) Loss 1.6867 (1.6465) Prec@1 60.000 (55.618) Prec@5 83.750 (84.472) Epoch: [74][870/11272] Time 0.753 (0.789) Data 0.002 (0.006) Loss 1.5033 (1.6458) Prec@1 61.250 (55.642) Prec@5 88.125 (84.489) Epoch: [74][880/11272] Time 0.831 (0.789) Data 0.002 (0.006) Loss 1.6579 (1.6453) Prec@1 55.625 (55.656) Prec@5 86.875 (84.496) Epoch: [74][890/11272] Time 0.901 (0.789) Data 0.002 (0.006) Loss 1.5577 (1.6453) Prec@1 54.375 (55.666) Prec@5 87.500 (84.494) Epoch: [74][900/11272] Time 0.787 (0.789) Data 0.002 (0.006) Loss 1.5324 (1.6459) Prec@1 61.875 (55.657) Prec@5 88.125 (84.492) Epoch: [74][910/11272] Time 0.708 (0.789) Data 0.001 (0.006) Loss 1.5001 (1.6459) Prec@1 55.000 (55.633) Prec@5 89.375 (84.499) Epoch: [74][920/11272] Time 0.806 (0.789) Data 0.001 (0.006) Loss 1.7932 (1.6462) Prec@1 49.375 (55.623) Prec@5 80.000 (84.492) Epoch: [74][930/11272] Time 0.888 (0.789) Data 0.002 (0.005) Loss 1.6346 (1.6465) Prec@1 61.250 (55.621) Prec@5 82.500 (84.487) Epoch: [74][940/11272] Time 0.720 (0.789) Data 0.004 (0.005) Loss 1.7712 (1.6465) Prec@1 51.875 (55.620) Prec@5 80.625 (84.481) Epoch: [74][950/11272] Time 0.854 (0.789) Data 0.001 (0.005) Loss 1.7160 (1.6465) Prec@1 56.250 (55.631) Prec@5 81.250 (84.477) Epoch: [74][960/11272] Time 0.859 (0.789) Data 0.002 (0.005) Loss 1.5518 (1.6463) Prec@1 56.250 (55.629) Prec@5 85.000 (84.474) Epoch: [74][970/11272] Time 0.763 (0.789) Data 0.001 (0.005) Loss 1.6422 (1.6466) Prec@1 58.750 (55.611) Prec@5 81.875 (84.478) Epoch: [74][980/11272] Time 0.721 (0.789) Data 0.001 (0.005) Loss 1.8723 (1.6474) Prec@1 46.875 (55.591) Prec@5 80.000 (84.460) Epoch: [74][990/11272] Time 0.854 (0.789) Data 0.001 (0.005) Loss 1.4515 (1.6466) Prec@1 65.000 (55.614) Prec@5 86.875 (84.462) Epoch: [74][1000/11272] Time 0.817 (0.789) Data 0.001 (0.005) Loss 1.6390 (1.6471) Prec@1 61.875 (55.599) Prec@5 85.000 (84.463) Epoch: [74][1010/11272] Time 0.727 (0.789) Data 0.001 (0.005) Loss 1.5490 (1.6473) Prec@1 58.750 (55.590) Prec@5 85.000 (84.462) Epoch: [74][1020/11272] Time 0.717 (0.789) Data 0.001 (0.005) Loss 1.7545 (1.6472) Prec@1 53.125 (55.583) Prec@5 81.250 (84.461) Epoch: [74][1030/11272] Time 0.820 (0.789) Data 0.001 (0.005) Loss 1.7072 (1.6475) Prec@1 56.250 (55.589) Prec@5 82.500 (84.456) Epoch: [74][1040/11272] Time 0.854 (0.789) Data 0.002 (0.005) Loss 1.5604 (1.6476) Prec@1 58.125 (55.589) Prec@5 85.625 (84.449) Epoch: [74][1050/11272] Time 0.797 (0.789) Data 0.002 (0.005) Loss 1.6533 (1.6475) Prec@1 54.375 (55.584) Prec@5 84.375 (84.454) Epoch: [74][1060/11272] Time 0.753 (0.789) Data 0.002 (0.005) Loss 1.3546 (1.6464) Prec@1 60.625 (55.607) Prec@5 90.000 (84.466) Epoch: [74][1070/11272] Time 0.827 (0.789) Data 0.001 (0.005) Loss 1.9281 (1.6469) Prec@1 51.250 (55.599) Prec@5 78.750 (84.460) Epoch: [74][1080/11272] Time 0.866 (0.789) Data 0.002 (0.005) Loss 1.7193 (1.6472) Prec@1 51.875 (55.585) Prec@5 84.375 (84.457) Epoch: [74][1090/11272] Time 0.812 (0.789) Data 0.002 (0.005) Loss 1.6158 (1.6469) Prec@1 56.875 (55.596) Prec@5 82.500 (84.452) Epoch: [74][1100/11272] Time 0.848 (0.789) Data 0.002 (0.005) Loss 1.6062 (1.6469) Prec@1 57.500 (55.607) Prec@5 86.875 (84.448) Epoch: [74][1110/11272] Time 0.857 (0.789) Data 0.002 (0.005) Loss 1.7129 (1.6465) Prec@1 55.000 (55.615) Prec@5 83.750 (84.453) Epoch: [74][1120/11272] Time 0.742 (0.789) Data 0.002 (0.005) Loss 1.4780 (1.6464) Prec@1 63.125 (55.618) Prec@5 88.125 (84.459) Epoch: [74][1130/11272] Time 0.722 (0.789) Data 0.001 (0.005) Loss 1.6889 (1.6467) Prec@1 53.750 (55.616) Prec@5 80.625 (84.452) Epoch: [74][1140/11272] Time 0.814 (0.789) Data 0.001 (0.005) Loss 1.8553 (1.6468) Prec@1 51.875 (55.613) Prec@5 81.250 (84.447) Epoch: [74][1150/11272] Time 0.830 (0.789) Data 0.001 (0.005) Loss 1.6598 (1.6470) Prec@1 54.375 (55.609) Prec@5 84.375 (84.443) Epoch: [74][1160/11272] Time 0.735 (0.789) Data 0.001 (0.005) Loss 1.6990 (1.6470) Prec@1 52.500 (55.602) Prec@5 83.750 (84.444) Epoch: [74][1170/11272] Time 0.703 (0.789) Data 0.002 (0.005) Loss 1.5524 (1.6469) Prec@1 56.250 (55.604) Prec@5 87.500 (84.447) Epoch: [74][1180/11272] Time 0.882 (0.789) Data 0.002 (0.005) Loss 1.4887 (1.6473) Prec@1 58.125 (55.595) Prec@5 86.875 (84.441) Epoch: [74][1190/11272] Time 0.836 (0.789) Data 0.002 (0.005) Loss 1.6037 (1.6475) Prec@1 58.125 (55.602) Prec@5 90.000 (84.441) Epoch: [74][1200/11272] Time 0.705 (0.788) Data 0.001 (0.005) Loss 1.7097 (1.6475) Prec@1 56.875 (55.597) Prec@5 83.125 (84.437) Epoch: [74][1210/11272] Time 0.752 (0.788) Data 0.002 (0.005) Loss 1.4521 (1.6470) Prec@1 60.000 (55.603) Prec@5 87.500 (84.446) Epoch: [74][1220/11272] Time 0.804 (0.788) Data 0.001 (0.005) Loss 1.5391 (1.6475) Prec@1 61.875 (55.590) Prec@5 85.625 (84.437) Epoch: [74][1230/11272] Time 0.745 (0.788) Data 0.001 (0.005) Loss 1.6890 (1.6476) Prec@1 58.125 (55.597) Prec@5 83.750 (84.428) Epoch: [74][1240/11272] Time 0.738 (0.788) Data 0.001 (0.005) Loss 1.6714 (1.6475) Prec@1 58.750 (55.606) Prec@5 85.000 (84.423) Epoch: [74][1250/11272] Time 0.828 (0.789) Data 0.001 (0.004) Loss 1.4867 (1.6472) Prec@1 57.500 (55.614) Prec@5 86.875 (84.424) Epoch: [74][1260/11272] Time 0.824 (0.788) Data 0.001 (0.004) Loss 1.7446 (1.6470) Prec@1 56.875 (55.618) Prec@5 81.250 (84.435) Epoch: [74][1270/11272] Time 0.755 (0.788) Data 0.002 (0.004) Loss 1.6141 (1.6473) Prec@1 56.875 (55.618) Prec@5 84.375 (84.423) Epoch: [74][1280/11272] Time 0.737 (0.788) Data 0.001 (0.004) Loss 1.7413 (1.6477) Prec@1 53.750 (55.615) Prec@5 85.000 (84.419) Epoch: [74][1290/11272] Time 0.857 (0.789) Data 0.002 (0.004) Loss 1.6901 (1.6479) Prec@1 51.250 (55.610) Prec@5 83.125 (84.416) Epoch: [74][1300/11272] Time 0.817 (0.788) Data 0.001 (0.004) Loss 1.6076 (1.6479) Prec@1 59.375 (55.613) Prec@5 83.125 (84.420) Epoch: [74][1310/11272] Time 0.754 (0.788) Data 0.003 (0.004) Loss 1.6146 (1.6480) Prec@1 55.625 (55.604) Prec@5 86.250 (84.429) Epoch: [74][1320/11272] Time 0.710 (0.788) Data 0.001 (0.004) Loss 1.7779 (1.6483) Prec@1 53.125 (55.607) Prec@5 85.000 (84.429) Epoch: [74][1330/11272] Time 0.829 (0.788) Data 0.002 (0.004) Loss 1.6481 (1.6488) Prec@1 55.000 (55.602) Prec@5 83.750 (84.414) Epoch: [74][1340/11272] Time 0.835 (0.788) Data 0.001 (0.004) Loss 1.5204 (1.6487) Prec@1 53.125 (55.607) Prec@5 89.375 (84.414) Epoch: [74][1350/11272] Time 0.711 (0.788) Data 0.001 (0.004) Loss 1.4884 (1.6486) Prec@1 59.375 (55.605) Prec@5 87.500 (84.416) Epoch: [74][1360/11272] Time 0.857 (0.788) Data 0.002 (0.004) Loss 1.5530 (1.6485) Prec@1 57.500 (55.608) Prec@5 88.750 (84.424) Epoch: [74][1370/11272] Time 0.814 (0.788) Data 0.001 (0.004) Loss 1.7683 (1.6483) Prec@1 51.250 (55.613) Prec@5 80.625 (84.423) Epoch: [74][1380/11272] Time 0.723 (0.788) Data 0.002 (0.004) Loss 1.7976 (1.6485) Prec@1 51.250 (55.603) Prec@5 83.750 (84.412) Epoch: [74][1390/11272] Time 0.744 (0.788) Data 0.002 (0.004) Loss 1.6980 (1.6484) Prec@1 56.250 (55.600) Prec@5 81.875 (84.416) Epoch: [74][1400/11272] Time 0.824 (0.788) Data 0.001 (0.004) Loss 1.4662 (1.6486) Prec@1 66.250 (55.595) Prec@5 88.125 (84.412) Epoch: [74][1410/11272] Time 0.806 (0.788) Data 0.001 (0.004) Loss 1.5528 (1.6485) Prec@1 56.875 (55.608) Prec@5 85.000 (84.416) Epoch: [74][1420/11272] Time 0.740 (0.788) Data 0.001 (0.004) Loss 1.8369 (1.6480) Prec@1 50.625 (55.604) Prec@5 80.000 (84.423) Epoch: [74][1430/11272] Time 0.740 (0.788) Data 0.002 (0.004) Loss 1.6977 (1.6484) Prec@1 58.750 (55.603) Prec@5 85.625 (84.423) Epoch: [74][1440/11272] Time 0.872 (0.788) Data 0.002 (0.004) Loss 1.7251 (1.6486) Prec@1 55.000 (55.596) Prec@5 85.000 (84.412) Epoch: [74][1450/11272] Time 0.865 (0.788) Data 0.002 (0.004) Loss 1.8560 (1.6485) Prec@1 53.750 (55.603) Prec@5 80.625 (84.412) Epoch: [74][1460/11272] Time 0.721 (0.788) Data 0.002 (0.004) Loss 1.5611 (1.6481) Prec@1 58.125 (55.606) Prec@5 86.250 (84.418) Epoch: [74][1470/11272] Time 0.711 (0.788) Data 0.001 (0.004) Loss 1.8111 (1.6483) Prec@1 46.875 (55.599) Prec@5 80.625 (84.419) Epoch: [74][1480/11272] Time 0.873 (0.788) Data 0.001 (0.004) Loss 1.4661 (1.6484) Prec@1 55.000 (55.588) Prec@5 86.250 (84.419) Epoch: [74][1490/11272] Time 0.744 (0.788) Data 0.003 (0.004) Loss 1.7471 (1.6481) Prec@1 51.875 (55.596) Prec@5 85.625 (84.427) Epoch: [74][1500/11272] Time 0.746 (0.788) Data 0.002 (0.004) Loss 1.7194 (1.6484) Prec@1 57.500 (55.588) Prec@5 85.625 (84.424) Epoch: [74][1510/11272] Time 0.839 (0.788) Data 0.001 (0.004) Loss 1.4053 (1.6488) Prec@1 62.500 (55.586) Prec@5 87.500 (84.418) Epoch: [74][1520/11272] Time 0.860 (0.788) Data 0.002 (0.004) Loss 1.8222 (1.6489) Prec@1 52.500 (55.581) Prec@5 85.625 (84.416) Epoch: [74][1530/11272] Time 0.710 (0.788) Data 0.001 (0.004) Loss 1.5741 (1.6493) Prec@1 57.500 (55.569) Prec@5 84.375 (84.410) Epoch: [74][1540/11272] Time 0.794 (0.788) Data 0.002 (0.004) Loss 1.7118 (1.6497) Prec@1 56.875 (55.561) Prec@5 85.000 (84.403) Epoch: [74][1550/11272] Time 0.826 (0.788) Data 0.002 (0.004) Loss 1.4956 (1.6498) Prec@1 58.125 (55.563) Prec@5 85.625 (84.399) Epoch: [74][1560/11272] Time 0.821 (0.788) Data 0.001 (0.004) Loss 1.4278 (1.6495) Prec@1 65.625 (55.570) Prec@5 85.625 (84.400) Epoch: [74][1570/11272] Time 0.739 (0.788) Data 0.001 (0.004) Loss 1.4649 (1.6493) Prec@1 62.500 (55.572) Prec@5 86.250 (84.408) Epoch: [74][1580/11272] Time 0.736 (0.788) Data 0.002 (0.004) Loss 1.5426 (1.6486) Prec@1 57.500 (55.588) Prec@5 86.250 (84.424) Epoch: [74][1590/11272] Time 0.860 (0.788) Data 0.002 (0.004) Loss 1.5950 (1.6482) Prec@1 58.750 (55.598) Prec@5 85.625 (84.431) Epoch: [74][1600/11272] Time 0.824 (0.788) Data 0.002 (0.004) Loss 1.3731 (1.6484) Prec@1 60.625 (55.596) Prec@5 93.125 (84.427) Epoch: [74][1610/11272] Time 0.717 (0.788) Data 0.001 (0.004) Loss 1.7368 (1.6488) Prec@1 51.875 (55.590) Prec@5 81.250 (84.417) Epoch: [74][1620/11272] Time 0.852 (0.788) Data 0.002 (0.004) Loss 1.5915 (1.6490) Prec@1 53.750 (55.582) Prec@5 87.500 (84.417) Epoch: [74][1630/11272] Time 0.842 (0.788) Data 0.002 (0.004) Loss 1.4935 (1.6492) Prec@1 61.250 (55.581) Prec@5 88.125 (84.413) Epoch: [74][1640/11272] Time 0.699 (0.788) Data 0.001 (0.004) Loss 1.4165 (1.6491) Prec@1 61.875 (55.580) Prec@5 86.250 (84.410) Epoch: [74][1650/11272] Time 0.727 (0.788) Data 0.001 (0.004) Loss 1.7021 (1.6496) Prec@1 55.625 (55.572) Prec@5 84.375 (84.403) Epoch: [74][1660/11272] Time 0.834 (0.788) Data 0.002 (0.004) Loss 1.6581 (1.6499) Prec@1 57.500 (55.567) Prec@5 85.625 (84.401) Epoch: [74][1670/11272] Time 0.820 (0.788) Data 0.001 (0.004) Loss 1.6956 (1.6503) Prec@1 55.000 (55.558) Prec@5 83.125 (84.391) Epoch: [74][1680/11272] Time 0.752 (0.788) Data 0.002 (0.004) Loss 1.7455 (1.6507) Prec@1 52.500 (55.557) Prec@5 83.125 (84.387) Epoch: [74][1690/11272] Time 0.715 (0.788) Data 0.001 (0.004) Loss 1.5663 (1.6508) Prec@1 54.375 (55.541) Prec@5 85.000 (84.388) Epoch: [74][1700/11272] Time 0.839 (0.788) Data 0.001 (0.004) Loss 1.8667 (1.6510) Prec@1 54.375 (55.535) Prec@5 83.125 (84.384) Epoch: [74][1710/11272] Time 0.820 (0.788) Data 0.001 (0.004) Loss 1.6515 (1.6514) Prec@1 56.250 (55.528) Prec@5 86.875 (84.376) Epoch: [74][1720/11272] Time 0.710 (0.788) Data 0.001 (0.004) Loss 1.6353 (1.6512) Prec@1 53.750 (55.528) Prec@5 83.125 (84.378) Epoch: [74][1730/11272] Time 0.709 (0.788) Data 0.001 (0.004) Loss 1.6810 (1.6510) Prec@1 53.750 (55.537) Prec@5 84.375 (84.381) Epoch: [74][1740/11272] Time 0.838 (0.788) Data 0.001 (0.004) Loss 1.8599 (1.6512) Prec@1 50.625 (55.532) Prec@5 82.500 (84.383) Epoch: [74][1750/11272] Time 0.741 (0.788) Data 0.003 (0.004) Loss 1.9036 (1.6513) Prec@1 48.750 (55.541) Prec@5 84.375 (84.380) Epoch: [74][1760/11272] Time 0.703 (0.788) Data 0.001 (0.004) Loss 1.5628 (1.6511) Prec@1 55.625 (55.548) Prec@5 86.250 (84.379) Epoch: [74][1770/11272] Time 0.832 (0.788) Data 0.002 (0.004) Loss 1.5219 (1.6507) Prec@1 55.625 (55.562) Prec@5 87.500 (84.381) Epoch: [74][1780/11272] Time 0.844 (0.788) Data 0.002 (0.004) Loss 1.6561 (1.6505) Prec@1 57.500 (55.569) Prec@5 81.875 (84.379) Epoch: [74][1790/11272] Time 0.735 (0.788) Data 0.001 (0.004) Loss 1.6410 (1.6502) Prec@1 55.000 (55.576) Prec@5 85.625 (84.388) Epoch: [74][1800/11272] Time 0.718 (0.788) Data 0.006 (0.004) Loss 1.3782 (1.6500) Prec@1 59.375 (55.583) Prec@5 90.000 (84.388) Epoch: [74][1810/11272] Time 0.851 (0.788) Data 0.002 (0.004) Loss 1.7873 (1.6499) Prec@1 53.125 (55.589) Prec@5 81.250 (84.389) Epoch: [74][1820/11272] Time 0.831 (0.788) Data 0.001 (0.004) Loss 1.5727 (1.6501) Prec@1 57.500 (55.594) Prec@5 86.875 (84.389) Epoch: [74][1830/11272] Time 0.713 (0.788) Data 0.001 (0.004) Loss 1.9034 (1.6503) Prec@1 50.625 (55.592) Prec@5 78.750 (84.384) Epoch: [74][1840/11272] Time 0.739 (0.788) Data 0.002 (0.004) Loss 1.7944 (1.6506) Prec@1 53.125 (55.577) Prec@5 81.875 (84.386) Epoch: [74][1850/11272] Time 0.839 (0.788) Data 0.002 (0.004) Loss 1.9098 (1.6511) Prec@1 53.750 (55.571) Prec@5 80.000 (84.377) Epoch: [74][1860/11272] Time 0.825 (0.788) Data 0.001 (0.004) Loss 1.6489 (1.6512) Prec@1 55.000 (55.566) Prec@5 83.750 (84.375) Epoch: [74][1870/11272] Time 0.771 (0.788) Data 0.002 (0.004) Loss 1.8067 (1.6515) Prec@1 55.000 (55.558) Prec@5 81.250 (84.373) Epoch: [74][1880/11272] Time 0.807 (0.788) Data 0.002 (0.004) Loss 1.4732 (1.6512) Prec@1 59.375 (55.573) Prec@5 85.000 (84.378) Epoch: [74][1890/11272] Time 0.858 (0.788) Data 0.002 (0.004) Loss 1.6912 (1.6514) Prec@1 56.875 (55.572) Prec@5 83.125 (84.374) Epoch: [74][1900/11272] Time 0.746 (0.788) Data 0.001 (0.003) Loss 1.7546 (1.6515) Prec@1 52.500 (55.570) Prec@5 81.875 (84.370) Epoch: [74][1910/11272] Time 0.773 (0.788) Data 0.002 (0.003) Loss 1.4982 (1.6517) Prec@1 61.875 (55.572) Prec@5 86.250 (84.366) Epoch: [74][1920/11272] Time 0.841 (0.788) Data 0.002 (0.003) Loss 1.8803 (1.6516) Prec@1 48.125 (55.574) Prec@5 82.500 (84.368) Epoch: [74][1930/11272] Time 0.856 (0.788) Data 0.002 (0.003) Loss 1.6571 (1.6516) Prec@1 55.000 (55.570) Prec@5 82.500 (84.368) Epoch: [74][1940/11272] Time 0.721 (0.788) Data 0.001 (0.003) Loss 1.6571 (1.6519) Prec@1 55.000 (55.565) Prec@5 83.750 (84.364) Epoch: [74][1950/11272] Time 0.704 (0.788) Data 0.001 (0.003) Loss 1.6136 (1.6517) Prec@1 55.625 (55.577) Prec@5 86.250 (84.368) Epoch: [74][1960/11272] Time 0.833 (0.788) Data 0.002 (0.003) Loss 1.9450 (1.6518) Prec@1 54.375 (55.580) Prec@5 74.375 (84.365) Epoch: [74][1970/11272] Time 0.842 (0.788) Data 0.002 (0.003) Loss 1.4673 (1.6520) Prec@1 59.375 (55.574) Prec@5 86.875 (84.360) Epoch: [74][1980/11272] Time 0.725 (0.788) Data 0.001 (0.003) Loss 1.5737 (1.6522) Prec@1 60.000 (55.566) Prec@5 84.375 (84.360) Epoch: [74][1990/11272] Time 0.717 (0.788) Data 0.001 (0.003) Loss 1.5553 (1.6525) Prec@1 56.875 (55.566) Prec@5 85.000 (84.355) Epoch: [74][2000/11272] Time 0.843 (0.788) Data 0.002 (0.003) Loss 1.6262 (1.6523) Prec@1 58.750 (55.573) Prec@5 85.625 (84.362) Epoch: [74][2010/11272] Time 0.830 (0.788) Data 0.002 (0.003) Loss 1.6272 (1.6522) Prec@1 55.625 (55.576) Prec@5 85.000 (84.359) Epoch: [74][2020/11272] Time 0.755 (0.788) Data 0.002 (0.003) Loss 1.8562 (1.6523) Prec@1 50.625 (55.576) Prec@5 83.125 (84.361) Epoch: [74][2030/11272] Time 0.844 (0.788) Data 0.002 (0.003) Loss 1.4356 (1.6523) Prec@1 61.250 (55.579) Prec@5 83.750 (84.361) Epoch: [74][2040/11272] Time 0.814 (0.787) Data 0.002 (0.003) Loss 1.4889 (1.6523) Prec@1 60.000 (55.581) Prec@5 90.000 (84.363) Epoch: [74][2050/11272] Time 0.773 (0.787) Data 0.002 (0.003) Loss 1.4623 (1.6522) Prec@1 60.000 (55.582) Prec@5 86.875 (84.367) Epoch: [74][2060/11272] Time 0.737 (0.787) Data 0.001 (0.003) Loss 1.8967 (1.6526) Prec@1 49.375 (55.569) Prec@5 80.000 (84.357) Epoch: [74][2070/11272] Time 0.836 (0.787) Data 0.002 (0.003) Loss 1.5898 (1.6526) Prec@1 60.000 (55.569) Prec@5 85.000 (84.357) Epoch: [74][2080/11272] Time 0.831 (0.787) Data 0.002 (0.003) Loss 1.4862 (1.6525) Prec@1 61.250 (55.569) Prec@5 85.000 (84.355) Epoch: [74][2090/11272] Time 0.731 (0.787) Data 0.001 (0.003) Loss 1.6997 (1.6527) Prec@1 55.000 (55.564) Prec@5 82.500 (84.353) Epoch: [74][2100/11272] Time 0.743 (0.787) Data 0.002 (0.003) Loss 1.8946 (1.6528) Prec@1 50.625 (55.562) Prec@5 78.750 (84.346) Epoch: [74][2110/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 1.6576 (1.6527) Prec@1 56.250 (55.569) Prec@5 82.500 (84.345) Epoch: [74][2120/11272] Time 0.867 (0.787) Data 0.001 (0.003) Loss 1.4250 (1.6523) Prec@1 60.625 (55.582) Prec@5 88.750 (84.355) Epoch: [74][2130/11272] Time 0.724 (0.787) Data 0.002 (0.003) Loss 1.8102 (1.6523) Prec@1 50.625 (55.578) Prec@5 80.625 (84.358) Epoch: [74][2140/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 1.5744 (1.6527) Prec@1 55.625 (55.567) Prec@5 85.000 (84.350) Epoch: [74][2150/11272] Time 0.872 (0.787) Data 0.002 (0.003) Loss 1.5280 (1.6532) Prec@1 58.125 (55.556) Prec@5 82.500 (84.342) Epoch: [74][2160/11272] Time 0.745 (0.787) Data 0.001 (0.003) Loss 1.6836 (1.6531) Prec@1 55.625 (55.563) Prec@5 82.500 (84.342) Epoch: [74][2170/11272] Time 0.765 (0.787) Data 0.002 (0.003) Loss 1.7123 (1.6530) Prec@1 55.625 (55.568) Prec@5 83.125 (84.344) Epoch: [74][2180/11272] Time 0.823 (0.787) Data 0.001 (0.003) Loss 1.5536 (1.6531) Prec@1 60.625 (55.576) Prec@5 86.250 (84.340) Epoch: [74][2190/11272] Time 0.828 (0.787) Data 0.002 (0.003) Loss 1.6884 (1.6532) Prec@1 60.000 (55.585) Prec@5 83.125 (84.332) Epoch: [74][2200/11272] Time 0.736 (0.787) Data 0.001 (0.003) Loss 1.8146 (1.6536) Prec@1 50.000 (55.574) Prec@5 85.625 (84.331) Epoch: [74][2210/11272] Time 0.716 (0.787) Data 0.002 (0.003) Loss 1.6420 (1.6539) Prec@1 55.000 (55.575) Prec@5 85.000 (84.324) Epoch: [74][2220/11272] Time 0.853 (0.787) Data 0.002 (0.003) Loss 1.7458 (1.6536) Prec@1 50.000 (55.575) Prec@5 84.375 (84.331) Epoch: [74][2230/11272] Time 0.830 (0.787) Data 0.002 (0.003) Loss 1.5384 (1.6536) Prec@1 58.750 (55.578) Prec@5 85.000 (84.328) Epoch: [74][2240/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 1.6010 (1.6534) Prec@1 61.250 (55.587) Prec@5 82.500 (84.332) Epoch: [74][2250/11272] Time 0.744 (0.787) Data 0.002 (0.003) Loss 1.4683 (1.6532) Prec@1 58.125 (55.587) Prec@5 89.375 (84.338) Epoch: [74][2260/11272] Time 0.839 (0.787) Data 0.002 (0.003) Loss 1.6031 (1.6534) Prec@1 55.000 (55.589) Prec@5 84.375 (84.333) Epoch: [74][2270/11272] Time 0.848 (0.787) Data 0.002 (0.003) Loss 1.6300 (1.6537) Prec@1 53.125 (55.584) Prec@5 83.750 (84.327) Epoch: [74][2280/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.6603 (1.6534) Prec@1 53.750 (55.589) Prec@5 84.375 (84.331) Epoch: [74][2290/11272] Time 0.840 (0.787) Data 0.002 (0.003) Loss 1.6479 (1.6534) Prec@1 53.125 (55.590) Prec@5 83.750 (84.329) Epoch: [74][2300/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.5332 (1.6534) Prec@1 65.000 (55.588) Prec@5 86.875 (84.330) Epoch: [74][2310/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.7177 (1.6535) Prec@1 55.000 (55.584) Prec@5 83.125 (84.327) Epoch: [74][2320/11272] Time 0.756 (0.787) Data 0.001 (0.003) Loss 1.5372 (1.6531) Prec@1 58.125 (55.597) Prec@5 87.500 (84.331) Epoch: [74][2330/11272] Time 0.834 (0.787) Data 0.001 (0.003) Loss 1.7616 (1.6531) Prec@1 50.625 (55.596) Prec@5 81.875 (84.330) Epoch: [74][2340/11272] Time 0.792 (0.787) Data 0.001 (0.003) Loss 1.7700 (1.6532) Prec@1 51.250 (55.600) Prec@5 80.625 (84.327) Epoch: [74][2350/11272] Time 0.782 (0.787) Data 0.001 (0.003) Loss 1.9726 (1.6531) Prec@1 51.875 (55.608) Prec@5 79.375 (84.328) Epoch: [74][2360/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 1.6895 (1.6530) Prec@1 53.750 (55.610) Prec@5 83.750 (84.327) Epoch: [74][2370/11272] Time 0.838 (0.787) Data 0.002 (0.003) Loss 1.7157 (1.6529) Prec@1 55.625 (55.611) Prec@5 81.250 (84.329) Epoch: [74][2380/11272] Time 0.830 (0.787) Data 0.001 (0.003) Loss 1.4622 (1.6533) Prec@1 63.125 (55.602) Prec@5 87.500 (84.325) Epoch: [74][2390/11272] Time 0.739 (0.787) Data 0.002 (0.003) Loss 1.5526 (1.6537) Prec@1 58.750 (55.595) Prec@5 83.125 (84.319) Epoch: [74][2400/11272] Time 0.736 (0.787) Data 0.002 (0.003) Loss 1.9824 (1.6539) Prec@1 51.875 (55.589) Prec@5 76.875 (84.317) Epoch: [74][2410/11272] Time 0.842 (0.787) Data 0.001 (0.003) Loss 1.5440 (1.6540) Prec@1 56.875 (55.591) Prec@5 85.000 (84.312) Epoch: [74][2420/11272] Time 0.709 (0.787) Data 0.003 (0.003) Loss 1.7121 (1.6539) Prec@1 58.750 (55.592) Prec@5 79.375 (84.311) Epoch: [74][2430/11272] Time 0.706 (0.787) Data 0.001 (0.003) Loss 1.5141 (1.6539) Prec@1 59.375 (55.593) Prec@5 87.500 (84.313) Epoch: [74][2440/11272] Time 0.815 (0.787) Data 0.002 (0.003) Loss 1.4431 (1.6540) Prec@1 61.250 (55.597) Prec@5 88.125 (84.311) Epoch: [74][2450/11272] Time 0.832 (0.787) Data 0.002 (0.003) Loss 1.7163 (1.6539) Prec@1 58.125 (55.605) Prec@5 83.750 (84.314) Epoch: [74][2460/11272] Time 0.695 (0.787) Data 0.001 (0.003) Loss 1.8920 (1.6537) Prec@1 51.250 (55.609) Prec@5 79.375 (84.318) Epoch: [74][2470/11272] Time 0.684 (0.787) Data 0.001 (0.003) Loss 1.4841 (1.6538) Prec@1 58.750 (55.609) Prec@5 86.875 (84.318) Epoch: [74][2480/11272] Time 0.830 (0.787) Data 0.002 (0.003) Loss 1.5913 (1.6538) Prec@1 57.500 (55.615) Prec@5 84.375 (84.317) Epoch: [74][2490/11272] Time 0.889 (0.787) Data 0.002 (0.003) Loss 1.6719 (1.6536) Prec@1 56.250 (55.615) Prec@5 82.500 (84.320) Epoch: [74][2500/11272] Time 0.724 (0.787) Data 0.002 (0.003) Loss 1.7215 (1.6538) Prec@1 51.875 (55.609) Prec@5 83.750 (84.318) Epoch: [74][2510/11272] Time 0.701 (0.787) Data 0.001 (0.003) Loss 1.8786 (1.6538) Prec@1 50.000 (55.610) Prec@5 80.625 (84.317) Epoch: [74][2520/11272] Time 0.814 (0.787) Data 0.001 (0.003) Loss 1.6847 (1.6539) Prec@1 54.375 (55.603) Prec@5 82.500 (84.315) Epoch: [74][2530/11272] Time 0.848 (0.787) Data 0.002 (0.003) Loss 1.6404 (1.6539) Prec@1 53.125 (55.594) Prec@5 81.875 (84.315) Epoch: [74][2540/11272] Time 0.747 (0.787) Data 0.001 (0.003) Loss 1.8175 (1.6538) Prec@1 51.875 (55.593) Prec@5 81.875 (84.320) Epoch: [74][2550/11272] Time 0.891 (0.787) Data 0.002 (0.003) Loss 1.7936 (1.6538) Prec@1 53.750 (55.596) Prec@5 82.500 (84.319) Epoch: [74][2560/11272] Time 0.860 (0.787) Data 0.001 (0.003) Loss 1.5417 (1.6537) Prec@1 60.000 (55.597) Prec@5 85.000 (84.319) Epoch: [74][2570/11272] Time 0.767 (0.787) Data 0.001 (0.003) Loss 1.6327 (1.6536) Prec@1 55.625 (55.594) Prec@5 86.250 (84.319) Epoch: [74][2580/11272] Time 0.711 (0.787) Data 0.002 (0.003) Loss 1.7835 (1.6536) Prec@1 48.125 (55.593) Prec@5 83.750 (84.317) Epoch: [74][2590/11272] Time 0.840 (0.787) Data 0.002 (0.003) Loss 1.6320 (1.6537) Prec@1 55.000 (55.593) Prec@5 85.000 (84.318) Epoch: [74][2600/11272] Time 0.812 (0.787) Data 0.001 (0.003) Loss 1.5680 (1.6535) Prec@1 60.000 (55.599) Prec@5 84.375 (84.316) Epoch: [74][2610/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 1.6188 (1.6534) Prec@1 60.625 (55.598) Prec@5 84.375 (84.323) Epoch: [74][2620/11272] Time 0.762 (0.787) Data 0.001 (0.003) Loss 1.8178 (1.6532) Prec@1 45.625 (55.603) Prec@5 84.375 (84.325) Epoch: [74][2630/11272] Time 0.855 (0.787) Data 0.002 (0.003) Loss 1.7956 (1.6532) Prec@1 53.125 (55.605) Prec@5 81.250 (84.327) Epoch: [74][2640/11272] Time 0.842 (0.787) Data 0.002 (0.003) Loss 1.6309 (1.6534) Prec@1 55.000 (55.597) Prec@5 85.000 (84.323) Epoch: [74][2650/11272] Time 0.720 (0.787) Data 0.001 (0.003) Loss 1.6418 (1.6532) Prec@1 51.250 (55.599) Prec@5 85.625 (84.326) Epoch: [74][2660/11272] Time 0.706 (0.787) Data 0.001 (0.003) Loss 1.6873 (1.6534) Prec@1 56.875 (55.596) Prec@5 85.625 (84.323) Epoch: [74][2670/11272] Time 0.854 (0.787) Data 0.002 (0.003) Loss 1.7040 (1.6532) Prec@1 55.000 (55.598) Prec@5 80.000 (84.324) Epoch: [74][2680/11272] Time 0.703 (0.787) Data 0.002 (0.003) Loss 1.5100 (1.6530) Prec@1 58.750 (55.609) Prec@5 86.875 (84.326) Epoch: [74][2690/11272] Time 0.703 (0.787) Data 0.002 (0.003) Loss 1.9764 (1.6529) Prec@1 51.250 (55.611) Prec@5 76.875 (84.326) Epoch: [74][2700/11272] Time 0.850 (0.787) Data 0.002 (0.003) Loss 1.7281 (1.6530) Prec@1 52.500 (55.606) Prec@5 83.750 (84.322) Epoch: [74][2710/11272] Time 0.833 (0.787) Data 0.002 (0.003) Loss 1.7490 (1.6530) Prec@1 53.750 (55.604) Prec@5 83.750 (84.320) Epoch: [74][2720/11272] Time 0.693 (0.787) Data 0.001 (0.003) Loss 1.7856 (1.6532) Prec@1 50.625 (55.599) Prec@5 84.375 (84.320) Epoch: [74][2730/11272] Time 0.727 (0.787) Data 0.002 (0.003) Loss 1.7073 (1.6531) Prec@1 54.375 (55.599) Prec@5 84.375 (84.323) Epoch: [74][2740/11272] Time 0.815 (0.787) Data 0.002 (0.003) Loss 1.5958 (1.6530) Prec@1 58.750 (55.600) Prec@5 82.500 (84.325) Epoch: [74][2750/11272] Time 0.837 (0.787) Data 0.002 (0.003) Loss 1.9415 (1.6535) Prec@1 48.750 (55.594) Prec@5 77.500 (84.315) Epoch: [74][2760/11272] Time 0.742 (0.787) Data 0.002 (0.003) Loss 1.6008 (1.6534) Prec@1 53.125 (55.595) Prec@5 85.000 (84.320) Epoch: [74][2770/11272] Time 0.715 (0.787) Data 0.001 (0.003) Loss 1.7522 (1.6535) Prec@1 52.500 (55.592) Prec@5 82.500 (84.317) Epoch: [74][2780/11272] Time 0.838 (0.787) Data 0.002 (0.003) Loss 1.6744 (1.6538) Prec@1 57.500 (55.588) Prec@5 81.250 (84.309) Epoch: [74][2790/11272] Time 0.846 (0.787) Data 0.002 (0.003) Loss 1.8427 (1.6540) Prec@1 53.125 (55.585) Prec@5 78.750 (84.307) Epoch: [74][2800/11272] Time 0.743 (0.787) Data 0.001 (0.003) Loss 1.7883 (1.6541) Prec@1 50.625 (55.586) Prec@5 80.000 (84.305) Epoch: [74][2810/11272] Time 0.814 (0.787) Data 0.001 (0.003) Loss 1.7581 (1.6541) Prec@1 56.250 (55.590) Prec@5 80.625 (84.308) Epoch: [74][2820/11272] Time 0.836 (0.787) Data 0.002 (0.003) Loss 1.7909 (1.6543) Prec@1 49.375 (55.587) Prec@5 83.750 (84.303) Epoch: [74][2830/11272] Time 0.740 (0.787) Data 0.001 (0.003) Loss 1.9192 (1.6544) Prec@1 48.750 (55.588) Prec@5 83.125 (84.302) Epoch: [74][2840/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 1.7023 (1.6544) Prec@1 51.875 (55.591) Prec@5 86.250 (84.303) Epoch: [74][2850/11272] Time 0.806 (0.787) Data 0.001 (0.003) Loss 1.5453 (1.6544) Prec@1 60.000 (55.589) Prec@5 83.750 (84.302) Epoch: [74][2860/11272] Time 0.842 (0.787) Data 0.001 (0.003) Loss 1.6681 (1.6545) Prec@1 52.500 (55.588) Prec@5 89.375 (84.300) Epoch: [74][2870/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 1.8890 (1.6545) Prec@1 49.375 (55.589) Prec@5 82.500 (84.301) Epoch: [74][2880/11272] Time 0.751 (0.787) Data 0.002 (0.003) Loss 1.5798 (1.6547) Prec@1 52.500 (55.583) Prec@5 90.000 (84.299) Epoch: [74][2890/11272] Time 0.846 (0.787) Data 0.002 (0.003) Loss 1.7122 (1.6546) Prec@1 53.125 (55.585) Prec@5 81.875 (84.299) Epoch: [74][2900/11272] Time 0.847 (0.787) Data 0.002 (0.003) Loss 1.6116 (1.6546) Prec@1 58.750 (55.588) Prec@5 85.625 (84.297) Epoch: [74][2910/11272] Time 0.753 (0.787) Data 0.002 (0.003) Loss 1.6989 (1.6547) Prec@1 56.250 (55.586) Prec@5 79.375 (84.295) Epoch: [74][2920/11272] Time 0.715 (0.787) Data 0.002 (0.003) Loss 2.0797 (1.6547) Prec@1 45.625 (55.593) Prec@5 81.875 (84.293) Epoch: [74][2930/11272] Time 0.858 (0.787) Data 0.002 (0.003) Loss 1.4812 (1.6548) Prec@1 61.250 (55.596) Prec@5 89.375 (84.292) Epoch: [74][2940/11272] Time 0.856 (0.787) Data 0.001 (0.003) Loss 1.7235 (1.6547) Prec@1 55.000 (55.598) Prec@5 83.750 (84.293) Epoch: [74][2950/11272] Time 0.709 (0.787) Data 0.001 (0.003) Loss 1.8714 (1.6548) Prec@1 51.875 (55.599) Prec@5 81.250 (84.292) Epoch: [74][2960/11272] Time 0.835 (0.787) Data 0.001 (0.003) Loss 1.6680 (1.6548) Prec@1 56.250 (55.600) Prec@5 83.750 (84.290) Epoch: [74][2970/11272] Time 0.822 (0.787) Data 0.002 (0.003) Loss 1.6144 (1.6545) Prec@1 60.000 (55.610) Prec@5 83.750 (84.297) Epoch: [74][2980/11272] Time 0.735 (0.787) Data 0.002 (0.003) Loss 1.5686 (1.6545) Prec@1 55.000 (55.611) Prec@5 85.000 (84.300) Epoch: [74][2990/11272] Time 0.711 (0.787) Data 0.001 (0.003) Loss 1.8242 (1.6546) Prec@1 48.750 (55.610) Prec@5 80.625 (84.293) Epoch: [74][3000/11272] Time 0.810 (0.787) Data 0.001 (0.003) Loss 1.6801 (1.6547) Prec@1 53.750 (55.605) Prec@5 81.875 (84.292) Epoch: [74][3010/11272] Time 0.875 (0.787) Data 0.002 (0.003) Loss 1.7382 (1.6546) Prec@1 53.750 (55.603) Prec@5 83.125 (84.291) Epoch: [74][3020/11272] Time 0.713 (0.787) Data 0.001 (0.003) Loss 1.8403 (1.6546) Prec@1 53.125 (55.604) Prec@5 78.750 (84.292) Epoch: [74][3030/11272] Time 0.701 (0.787) Data 0.001 (0.003) Loss 1.6247 (1.6546) Prec@1 59.375 (55.601) Prec@5 85.000 (84.290) Epoch: [74][3040/11272] Time 0.828 (0.787) Data 0.002 (0.003) Loss 1.3393 (1.6547) Prec@1 59.375 (55.601) Prec@5 89.375 (84.287) Epoch: [74][3050/11272] Time 0.810 (0.787) Data 0.001 (0.003) Loss 1.6244 (1.6546) Prec@1 59.375 (55.605) Prec@5 86.875 (84.289) Epoch: [74][3060/11272] Time 0.706 (0.787) Data 0.001 (0.003) Loss 1.7416 (1.6545) Prec@1 57.500 (55.608) Prec@5 83.125 (84.288) Epoch: [74][3070/11272] Time 0.721 (0.787) Data 0.001 (0.003) Loss 1.4141 (1.6545) Prec@1 65.000 (55.613) Prec@5 86.875 (84.291) Epoch: [74][3080/11272] Time 0.852 (0.787) Data 0.002 (0.003) Loss 1.6914 (1.6545) Prec@1 55.625 (55.608) Prec@5 84.375 (84.292) Epoch: [74][3090/11272] Time 0.710 (0.787) Data 0.001 (0.003) Loss 1.6235 (1.6547) Prec@1 56.250 (55.605) Prec@5 83.125 (84.287) Epoch: [74][3100/11272] Time 0.734 (0.787) Data 0.001 (0.003) Loss 1.2808 (1.6547) Prec@1 66.250 (55.609) Prec@5 91.250 (84.286) Epoch: [74][3110/11272] Time 0.855 (0.787) Data 0.002 (0.003) Loss 1.6005 (1.6548) Prec@1 58.750 (55.608) Prec@5 84.375 (84.284) Epoch: [74][3120/11272] Time 0.839 (0.787) Data 0.002 (0.003) Loss 1.4287 (1.6547) Prec@1 58.125 (55.617) Prec@5 89.375 (84.285) Epoch: [74][3130/11272] Time 0.692 (0.787) Data 0.001 (0.003) Loss 1.4995 (1.6544) Prec@1 57.500 (55.621) Prec@5 88.750 (84.288) Epoch: [74][3140/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 1.5381 (1.6541) Prec@1 58.750 (55.630) Prec@5 84.375 (84.291) Epoch: [74][3150/11272] Time 0.841 (0.787) Data 0.001 (0.003) Loss 1.5123 (1.6539) Prec@1 63.125 (55.638) Prec@5 85.000 (84.289) Epoch: [74][3160/11272] Time 0.841 (0.787) Data 0.002 (0.003) Loss 1.9079 (1.6541) Prec@1 51.875 (55.639) Prec@5 79.375 (84.287) Epoch: [74][3170/11272] Time 0.728 (0.787) Data 0.001 (0.003) Loss 1.6314 (1.6541) Prec@1 58.125 (55.641) Prec@5 87.500 (84.286) Epoch: [74][3180/11272] Time 0.730 (0.787) Data 0.001 (0.003) Loss 1.7873 (1.6540) Prec@1 53.125 (55.642) Prec@5 82.500 (84.287) Epoch: [74][3190/11272] Time 0.839 (0.787) Data 0.002 (0.003) Loss 1.6412 (1.6539) Prec@1 55.625 (55.647) Prec@5 85.000 (84.292) Epoch: [74][3200/11272] Time 0.828 (0.787) Data 0.002 (0.003) Loss 1.5889 (1.6540) Prec@1 55.000 (55.642) Prec@5 86.875 (84.292) Epoch: [74][3210/11272] Time 0.742 (0.787) Data 0.001 (0.003) Loss 1.5958 (1.6541) Prec@1 58.125 (55.638) Prec@5 82.500 (84.288) Epoch: [74][3220/11272] Time 0.856 (0.787) Data 0.002 (0.003) Loss 1.5190 (1.6541) Prec@1 64.375 (55.639) Prec@5 88.750 (84.290) Epoch: [74][3230/11272] Time 0.812 (0.787) Data 0.001 (0.003) Loss 1.4466 (1.6541) Prec@1 54.375 (55.637) Prec@5 92.500 (84.289) Epoch: [74][3240/11272] Time 0.721 (0.787) Data 0.002 (0.003) Loss 1.4676 (1.6539) Prec@1 61.250 (55.646) Prec@5 86.875 (84.290) Epoch: [74][3250/11272] Time 0.771 (0.787) Data 0.002 (0.003) Loss 1.5938 (1.6539) Prec@1 56.250 (55.646) Prec@5 83.750 (84.290) Epoch: [74][3260/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 1.5528 (1.6537) Prec@1 57.500 (55.650) Prec@5 83.750 (84.297) Epoch: [74][3270/11272] Time 0.841 (0.787) Data 0.002 (0.003) Loss 1.7687 (1.6536) Prec@1 51.250 (55.651) Prec@5 83.125 (84.301) Epoch: [74][3280/11272] Time 0.735 (0.787) Data 0.002 (0.003) Loss 1.5274 (1.6534) Prec@1 56.250 (55.651) Prec@5 86.250 (84.305) Epoch: [74][3290/11272] Time 0.715 (0.787) Data 0.001 (0.003) Loss 1.4941 (1.6534) Prec@1 54.375 (55.645) Prec@5 88.125 (84.308) Epoch: [74][3300/11272] Time 0.827 (0.787) Data 0.002 (0.003) Loss 1.5995 (1.6535) Prec@1 57.500 (55.648) Prec@5 85.625 (84.307) Epoch: [74][3310/11272] Time 0.850 (0.787) Data 0.002 (0.003) Loss 1.7320 (1.6535) Prec@1 52.500 (55.647) Prec@5 83.750 (84.307) Epoch: [74][3320/11272] Time 0.749 (0.787) Data 0.002 (0.003) Loss 1.4174 (1.6534) Prec@1 62.500 (55.650) Prec@5 90.000 (84.307) Epoch: [74][3330/11272] Time 0.707 (0.787) Data 0.001 (0.003) Loss 1.3620 (1.6532) Prec@1 58.125 (55.656) Prec@5 89.375 (84.311) Epoch: [74][3340/11272] Time 0.854 (0.787) Data 0.002 (0.003) Loss 1.5682 (1.6533) Prec@1 60.625 (55.657) Prec@5 84.375 (84.308) Epoch: [74][3350/11272] Time 0.722 (0.787) Data 0.003 (0.003) Loss 1.8016 (1.6534) Prec@1 58.750 (55.660) Prec@5 81.875 (84.306) Epoch: [74][3360/11272] Time 0.741 (0.787) Data 0.001 (0.003) Loss 1.7405 (1.6533) Prec@1 56.250 (55.666) Prec@5 81.875 (84.309) Epoch: [74][3370/11272] Time 0.869 (0.787) Data 0.001 (0.003) Loss 1.5662 (1.6534) Prec@1 57.500 (55.662) Prec@5 85.625 (84.308) Epoch: [74][3380/11272] Time 0.797 (0.787) Data 0.002 (0.003) Loss 1.5825 (1.6533) Prec@1 60.625 (55.663) Prec@5 86.250 (84.313) Epoch: [74][3390/11272] Time 0.701 (0.787) Data 0.001 (0.003) Loss 1.7572 (1.6533) Prec@1 47.500 (55.657) Prec@5 87.500 (84.314) Epoch: [74][3400/11272] Time 0.732 (0.787) Data 0.002 (0.003) Loss 1.7089 (1.6535) Prec@1 57.500 (55.652) Prec@5 81.875 (84.313) Epoch: [74][3410/11272] Time 0.824 (0.787) Data 0.002 (0.003) Loss 1.6583 (1.6536) Prec@1 50.625 (55.647) Prec@5 86.250 (84.315) Epoch: [74][3420/11272] Time 0.833 (0.787) Data 0.002 (0.003) Loss 1.7084 (1.6537) Prec@1 51.250 (55.648) Prec@5 83.750 (84.312) Epoch: [74][3430/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.7143 (1.6535) Prec@1 56.875 (55.651) Prec@5 83.750 (84.315) Epoch: [74][3440/11272] Time 0.779 (0.787) Data 0.002 (0.003) Loss 1.7278 (1.6536) Prec@1 53.750 (55.649) Prec@5 83.750 (84.314) Epoch: [74][3450/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.7064 (1.6537) Prec@1 53.125 (55.650) Prec@5 85.000 (84.310) Epoch: [74][3460/11272] Time 0.836 (0.787) Data 0.002 (0.003) Loss 1.4970 (1.6539) Prec@1 56.875 (55.641) Prec@5 87.500 (84.305) Epoch: [74][3470/11272] Time 0.757 (0.787) Data 0.002 (0.003) Loss 1.6676 (1.6538) Prec@1 55.625 (55.639) Prec@5 86.250 (84.308) Epoch: [74][3480/11272] Time 0.847 (0.787) Data 0.001 (0.003) Loss 1.6691 (1.6536) Prec@1 53.750 (55.643) Prec@5 84.375 (84.313) Epoch: [74][3490/11272] Time 0.844 (0.787) Data 0.002 (0.003) Loss 1.9518 (1.6537) Prec@1 53.125 (55.639) Prec@5 78.750 (84.310) Epoch: [74][3500/11272] Time 0.703 (0.787) Data 0.001 (0.003) Loss 1.7792 (1.6537) Prec@1 51.875 (55.638) Prec@5 80.625 (84.307) Epoch: [74][3510/11272] Time 0.703 (0.787) Data 0.001 (0.003) Loss 1.5286 (1.6538) Prec@1 61.875 (55.633) Prec@5 86.875 (84.307) Epoch: [74][3520/11272] Time 0.833 (0.787) Data 0.002 (0.003) Loss 1.3209 (1.6537) Prec@1 63.750 (55.637) Prec@5 90.000 (84.308) Epoch: [74][3530/11272] Time 0.841 (0.787) Data 0.001 (0.003) Loss 1.9046 (1.6538) Prec@1 49.375 (55.637) Prec@5 78.125 (84.307) Epoch: [74][3540/11272] Time 0.724 (0.787) Data 0.001 (0.003) Loss 1.5935 (1.6538) Prec@1 55.000 (55.642) Prec@5 87.500 (84.310) Epoch: [74][3550/11272] Time 0.684 (0.787) Data 0.001 (0.003) Loss 1.7732 (1.6537) Prec@1 52.500 (55.640) Prec@5 85.625 (84.312) Epoch: [74][3560/11272] Time 0.871 (0.787) Data 0.002 (0.003) Loss 1.3578 (1.6536) Prec@1 57.500 (55.643) Prec@5 89.375 (84.314) Epoch: [74][3570/11272] Time 0.839 (0.787) Data 0.001 (0.003) Loss 2.0344 (1.6537) Prec@1 50.625 (55.641) Prec@5 78.125 (84.314) Epoch: [74][3580/11272] Time 0.747 (0.787) Data 0.002 (0.003) Loss 1.7395 (1.6539) Prec@1 55.000 (55.638) Prec@5 83.125 (84.311) Epoch: [74][3590/11272] Time 0.718 (0.787) Data 0.001 (0.003) Loss 1.6463 (1.6538) Prec@1 56.250 (55.638) Prec@5 81.875 (84.313) Epoch: [74][3600/11272] Time 0.805 (0.787) Data 0.002 (0.003) Loss 1.7170 (1.6538) Prec@1 56.875 (55.636) Prec@5 84.375 (84.314) Epoch: [74][3610/11272] Time 0.695 (0.787) Data 0.003 (0.003) Loss 1.3717 (1.6536) Prec@1 65.000 (55.640) Prec@5 87.500 (84.315) Epoch: [74][3620/11272] Time 0.704 (0.787) Data 0.001 (0.003) Loss 1.5303 (1.6537) Prec@1 60.625 (55.644) Prec@5 87.500 (84.315) Epoch: [74][3630/11272] Time 0.869 (0.787) Data 0.002 (0.003) Loss 1.3588 (1.6535) Prec@1 61.250 (55.645) Prec@5 90.000 (84.321) Epoch: [74][3640/11272] Time 0.841 (0.787) Data 0.002 (0.003) Loss 1.8959 (1.6537) Prec@1 50.000 (55.638) Prec@5 78.750 (84.316) Epoch: [74][3650/11272] Time 0.745 (0.787) Data 0.002 (0.003) Loss 1.6971 (1.6536) Prec@1 60.625 (55.641) Prec@5 81.875 (84.317) Epoch: [74][3660/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 1.8805 (1.6537) Prec@1 57.500 (55.644) Prec@5 77.500 (84.313) Epoch: [74][3670/11272] Time 0.860 (0.787) Data 0.002 (0.003) Loss 1.7282 (1.6538) Prec@1 55.000 (55.639) Prec@5 82.500 (84.309) Epoch: [74][3680/11272] Time 0.845 (0.787) Data 0.002 (0.003) Loss 1.5344 (1.6538) Prec@1 62.500 (55.642) Prec@5 85.625 (84.308) Epoch: [74][3690/11272] Time 0.710 (0.787) Data 0.001 (0.003) Loss 1.7186 (1.6538) Prec@1 53.750 (55.642) Prec@5 85.625 (84.308) Epoch: [74][3700/11272] Time 0.750 (0.787) Data 0.001 (0.003) Loss 1.6558 (1.6538) Prec@1 51.250 (55.641) Prec@5 85.625 (84.309) Epoch: [74][3710/11272] Time 0.834 (0.787) Data 0.002 (0.003) Loss 1.6559 (1.6539) Prec@1 53.750 (55.638) Prec@5 81.250 (84.305) Epoch: [74][3720/11272] Time 0.867 (0.787) Data 0.002 (0.003) Loss 1.6037 (1.6539) Prec@1 53.125 (55.637) Prec@5 83.750 (84.304) Epoch: [74][3730/11272] Time 0.768 (0.787) Data 0.002 (0.003) Loss 1.8090 (1.6540) Prec@1 53.125 (55.636) Prec@5 81.875 (84.303) Epoch: [74][3740/11272] Time 0.822 (0.787) Data 0.001 (0.003) Loss 1.7063 (1.6540) Prec@1 53.750 (55.634) Prec@5 86.875 (84.304) Epoch: [74][3750/11272] Time 0.862 (0.787) Data 0.002 (0.003) Loss 1.5850 (1.6539) Prec@1 59.375 (55.635) Prec@5 86.875 (84.305) Epoch: [74][3760/11272] Time 0.704 (0.787) Data 0.001 (0.003) Loss 1.6258 (1.6539) Prec@1 58.125 (55.637) Prec@5 84.375 (84.307) Epoch: [74][3770/11272] Time 0.707 (0.787) Data 0.001 (0.003) Loss 1.6329 (1.6538) Prec@1 55.625 (55.639) Prec@5 83.125 (84.306) Epoch: [74][3780/11272] Time 0.814 (0.787) Data 0.001 (0.003) Loss 1.5798 (1.6539) Prec@1 53.125 (55.637) Prec@5 85.625 (84.305) Epoch: [74][3790/11272] Time 0.845 (0.787) Data 0.002 (0.003) Loss 1.5970 (1.6539) Prec@1 58.125 (55.633) Prec@5 83.125 (84.305) Epoch: [74][3800/11272] Time 0.750 (0.787) Data 0.001 (0.003) Loss 1.6722 (1.6539) Prec@1 57.500 (55.633) Prec@5 84.375 (84.304) Epoch: [74][3810/11272] Time 0.717 (0.787) Data 0.001 (0.003) Loss 1.7354 (1.6540) Prec@1 53.125 (55.630) Prec@5 83.125 (84.306) Epoch: [74][3820/11272] Time 0.841 (0.787) Data 0.001 (0.003) Loss 1.6142 (1.6539) Prec@1 55.000 (55.626) Prec@5 82.500 (84.306) Epoch: [74][3830/11272] Time 0.830 (0.787) Data 0.002 (0.003) Loss 1.8160 (1.6541) Prec@1 54.375 (55.621) Prec@5 80.000 (84.305) Epoch: [74][3840/11272] Time 0.712 (0.787) Data 0.002 (0.003) Loss 1.8249 (1.6540) Prec@1 55.625 (55.623) Prec@5 80.000 (84.306) Epoch: [74][3850/11272] Time 0.751 (0.787) Data 0.002 (0.003) Loss 1.5145 (1.6538) Prec@1 60.625 (55.629) Prec@5 87.500 (84.312) Epoch: [74][3860/11272] Time 0.830 (0.787) Data 0.002 (0.003) Loss 1.7266 (1.6540) Prec@1 56.250 (55.624) Prec@5 82.500 (84.311) Epoch: [74][3870/11272] Time 0.815 (0.787) Data 0.001 (0.003) Loss 1.5102 (1.6539) Prec@1 55.625 (55.623) Prec@5 86.250 (84.312) Epoch: [74][3880/11272] Time 0.741 (0.787) Data 0.002 (0.003) Loss 1.6112 (1.6541) Prec@1 55.000 (55.617) Prec@5 85.000 (84.311) Epoch: [74][3890/11272] Time 0.831 (0.787) Data 0.001 (0.003) Loss 1.7058 (1.6541) Prec@1 55.000 (55.619) Prec@5 81.875 (84.312) Epoch: [74][3900/11272] Time 0.785 (0.787) Data 0.001 (0.003) Loss 1.5042 (1.6540) Prec@1 58.125 (55.629) Prec@5 85.625 (84.313) Epoch: [74][3910/11272] Time 0.707 (0.787) Data 0.001 (0.003) Loss 1.8184 (1.6540) Prec@1 55.000 (55.627) Prec@5 80.625 (84.313) Epoch: [74][3920/11272] Time 0.709 (0.787) Data 0.001 (0.003) Loss 1.4912 (1.6541) Prec@1 56.875 (55.625) Prec@5 89.375 (84.315) Epoch: [74][3930/11272] Time 0.863 (0.787) Data 0.002 (0.003) Loss 1.6758 (1.6541) Prec@1 54.375 (55.626) Prec@5 86.875 (84.313) Epoch: [74][3940/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.6498 (1.6541) Prec@1 57.500 (55.628) Prec@5 81.250 (84.313) Epoch: [74][3950/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.5522 (1.6542) Prec@1 56.250 (55.625) Prec@5 83.750 (84.309) Epoch: [74][3960/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.8676 (1.6544) Prec@1 50.000 (55.621) Prec@5 78.750 (84.306) Epoch: [74][3970/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.5761 (1.6542) Prec@1 55.625 (55.623) Prec@5 86.250 (84.308) Epoch: [74][3980/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.4571 (1.6541) Prec@1 60.000 (55.628) Prec@5 86.875 (84.309) Epoch: [74][3990/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.8105 (1.6541) Prec@1 53.750 (55.627) Prec@5 83.750 (84.309) Epoch: [74][4000/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 1.6902 (1.6541) Prec@1 55.625 (55.627) Prec@5 83.125 (84.308) Epoch: [74][4010/11272] Time 0.829 (0.787) Data 0.001 (0.002) Loss 1.7559 (1.6543) Prec@1 55.625 (55.624) Prec@5 81.250 (84.305) Epoch: [74][4020/11272] Time 0.722 (0.787) Data 0.002 (0.002) Loss 1.5152 (1.6544) Prec@1 61.250 (55.620) Prec@5 89.375 (84.305) Epoch: [74][4030/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.7789 (1.6544) Prec@1 54.375 (55.620) Prec@5 81.250 (84.303) Epoch: [74][4040/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.5384 (1.6542) Prec@1 59.375 (55.628) Prec@5 86.875 (84.306) Epoch: [74][4050/11272] Time 0.867 (0.787) Data 0.002 (0.002) Loss 1.7434 (1.6543) Prec@1 50.000 (55.626) Prec@5 83.125 (84.304) Epoch: [74][4060/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.7016 (1.6543) Prec@1 55.000 (55.630) Prec@5 87.500 (84.304) Epoch: [74][4070/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.3130 (1.6543) Prec@1 65.000 (55.627) Prec@5 93.125 (84.304) Epoch: [74][4080/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.5076 (1.6544) Prec@1 60.625 (55.626) Prec@5 86.250 (84.302) Epoch: [74][4090/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 1.5497 (1.6543) Prec@1 55.000 (55.627) Prec@5 86.250 (84.303) Epoch: [74][4100/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.5870 (1.6545) Prec@1 58.125 (55.623) Prec@5 87.500 (84.301) Epoch: [74][4110/11272] Time 0.733 (0.787) Data 0.002 (0.002) Loss 1.7821 (1.6545) Prec@1 53.750 (55.622) Prec@5 81.250 (84.302) Epoch: [74][4120/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 1.5622 (1.6546) Prec@1 60.625 (55.620) Prec@5 86.875 (84.301) Epoch: [74][4130/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.6981 (1.6546) Prec@1 56.875 (55.620) Prec@5 83.750 (84.301) Epoch: [74][4140/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.6470 (1.6546) Prec@1 57.500 (55.621) Prec@5 85.625 (84.305) Epoch: [74][4150/11272] Time 0.908 (0.787) Data 0.002 (0.002) Loss 1.8384 (1.6546) Prec@1 51.250 (55.622) Prec@5 80.000 (84.306) Epoch: [74][4160/11272] Time 0.902 (0.787) Data 0.002 (0.002) Loss 1.6736 (1.6545) Prec@1 53.125 (55.624) Prec@5 85.625 (84.307) Epoch: [74][4170/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.6500 (1.6545) Prec@1 50.000 (55.625) Prec@5 85.000 (84.308) Epoch: [74][4180/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 1.7551 (1.6547) Prec@1 57.500 (55.618) Prec@5 79.375 (84.304) Epoch: [74][4190/11272] Time 0.839 (0.787) Data 0.002 (0.002) Loss 1.9472 (1.6548) Prec@1 46.875 (55.614) Prec@5 78.750 (84.302) Epoch: [74][4200/11272] Time 0.805 (0.787) Data 0.001 (0.002) Loss 1.5930 (1.6549) Prec@1 58.750 (55.616) Prec@5 84.375 (84.298) Epoch: [74][4210/11272] Time 0.705 (0.787) Data 0.001 (0.002) Loss 1.5871 (1.6550) Prec@1 59.375 (55.613) Prec@5 85.625 (84.297) Epoch: [74][4220/11272] Time 0.760 (0.787) Data 0.001 (0.002) Loss 1.4472 (1.6549) Prec@1 61.250 (55.613) Prec@5 86.875 (84.297) Epoch: [74][4230/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 1.5889 (1.6551) Prec@1 60.000 (55.610) Prec@5 85.625 (84.296) Epoch: [74][4240/11272] Time 0.776 (0.787) Data 0.001 (0.002) Loss 1.6895 (1.6552) Prec@1 50.000 (55.606) Prec@5 84.375 (84.293) Epoch: [74][4250/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.5920 (1.6553) Prec@1 60.625 (55.607) Prec@5 86.250 (84.289) Epoch: [74][4260/11272] Time 0.704 (0.787) Data 0.001 (0.002) Loss 1.7658 (1.6553) Prec@1 55.625 (55.610) Prec@5 83.750 (84.288) Epoch: [74][4270/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.9011 (1.6553) Prec@1 45.625 (55.606) Prec@5 79.375 (84.286) Epoch: [74][4280/11272] Time 0.706 (0.787) Data 0.003 (0.002) Loss 1.6412 (1.6553) Prec@1 53.125 (55.608) Prec@5 79.375 (84.288) Epoch: [74][4290/11272] Time 0.689 (0.787) Data 0.001 (0.002) Loss 1.5765 (1.6553) Prec@1 55.000 (55.605) Prec@5 83.125 (84.287) Epoch: [74][4300/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.6852 (1.6555) Prec@1 50.625 (55.597) Prec@5 84.375 (84.286) Epoch: [74][4310/11272] Time 0.881 (0.787) Data 0.002 (0.002) Loss 1.5141 (1.6556) Prec@1 55.625 (55.589) Prec@5 88.125 (84.286) Epoch: [74][4320/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.5145 (1.6555) Prec@1 60.000 (55.592) Prec@5 86.875 (84.287) Epoch: [74][4330/11272] Time 0.708 (0.787) Data 0.001 (0.002) Loss 1.5114 (1.6556) Prec@1 56.250 (55.589) Prec@5 86.250 (84.284) Epoch: [74][4340/11272] Time 0.853 (0.787) Data 0.002 (0.002) Loss 1.5930 (1.6556) Prec@1 58.750 (55.589) Prec@5 83.750 (84.283) Epoch: [74][4350/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 1.9185 (1.6558) Prec@1 48.125 (55.584) Prec@5 80.000 (84.282) Epoch: [74][4360/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.5566 (1.6558) Prec@1 56.875 (55.585) Prec@5 87.500 (84.282) Epoch: [74][4370/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 1.6576 (1.6558) Prec@1 53.125 (55.583) Prec@5 85.625 (84.281) Epoch: [74][4380/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.5319 (1.6558) Prec@1 57.500 (55.582) Prec@5 85.625 (84.280) Epoch: [74][4390/11272] Time 0.856 (0.787) Data 0.002 (0.002) Loss 1.7085 (1.6558) Prec@1 52.500 (55.580) Prec@5 85.625 (84.284) Epoch: [74][4400/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.5166 (1.6556) Prec@1 54.375 (55.580) Prec@5 86.875 (84.289) Epoch: [74][4410/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.5298 (1.6556) Prec@1 55.625 (55.580) Prec@5 88.125 (84.288) Epoch: [74][4420/11272] Time 0.851 (0.787) Data 0.002 (0.002) Loss 1.5036 (1.6556) Prec@1 59.375 (55.581) Prec@5 88.125 (84.290) Epoch: [74][4430/11272] Time 0.759 (0.787) Data 0.001 (0.002) Loss 1.7545 (1.6556) Prec@1 53.750 (55.577) Prec@5 79.375 (84.286) Epoch: [74][4440/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.5404 (1.6557) Prec@1 61.250 (55.581) Prec@5 85.625 (84.288) Epoch: [74][4450/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.6446 (1.6556) Prec@1 60.000 (55.585) Prec@5 84.375 (84.289) Epoch: [74][4460/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.6795 (1.6557) Prec@1 55.625 (55.584) Prec@5 83.750 (84.290) Epoch: [74][4470/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.7257 (1.6556) Prec@1 58.125 (55.585) Prec@5 82.500 (84.291) Epoch: [74][4480/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.6722 (1.6556) Prec@1 57.500 (55.586) Prec@5 83.125 (84.291) Epoch: [74][4490/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.7880 (1.6556) Prec@1 53.750 (55.588) Prec@5 81.875 (84.291) Epoch: [74][4500/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.9024 (1.6555) Prec@1 51.250 (55.590) Prec@5 78.750 (84.291) Epoch: [74][4510/11272] Time 0.724 (0.787) Data 0.002 (0.002) Loss 1.5138 (1.6556) Prec@1 59.375 (55.588) Prec@5 88.125 (84.291) Epoch: [74][4520/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.8356 (1.6556) Prec@1 50.000 (55.586) Prec@5 80.000 (84.290) Epoch: [74][4530/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.8257 (1.6556) Prec@1 51.875 (55.586) Prec@5 84.375 (84.291) Epoch: [74][4540/11272] Time 0.737 (0.787) Data 0.003 (0.002) Loss 1.4679 (1.6556) Prec@1 61.250 (55.583) Prec@5 86.250 (84.294) Epoch: [74][4550/11272] Time 0.716 (0.787) Data 0.002 (0.002) Loss 1.8464 (1.6557) Prec@1 47.500 (55.582) Prec@5 78.125 (84.292) Epoch: [74][4560/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.8894 (1.6556) Prec@1 45.625 (55.585) Prec@5 80.625 (84.293) Epoch: [74][4570/11272] Time 0.856 (0.787) Data 0.002 (0.002) Loss 1.9244 (1.6558) Prec@1 50.625 (55.579) Prec@5 80.000 (84.289) Epoch: [74][4580/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.5232 (1.6557) Prec@1 60.000 (55.580) Prec@5 84.375 (84.289) Epoch: [74][4590/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.8242 (1.6557) Prec@1 55.625 (55.584) Prec@5 81.250 (84.287) Epoch: [74][4600/11272] Time 0.813 (0.787) Data 0.001 (0.002) Loss 1.5148 (1.6557) Prec@1 63.125 (55.585) Prec@5 85.000 (84.289) Epoch: [74][4610/11272] Time 0.823 (0.787) Data 0.002 (0.002) Loss 1.6454 (1.6558) Prec@1 58.750 (55.581) Prec@5 81.250 (84.288) Epoch: [74][4620/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.7926 (1.6559) Prec@1 50.625 (55.580) Prec@5 82.500 (84.288) Epoch: [74][4630/11272] Time 0.701 (0.787) Data 0.001 (0.002) Loss 1.5673 (1.6558) Prec@1 54.375 (55.582) Prec@5 85.000 (84.291) Epoch: [74][4640/11272] Time 0.865 (0.787) Data 0.002 (0.002) Loss 1.6936 (1.6557) Prec@1 53.750 (55.583) Prec@5 83.750 (84.292) Epoch: [74][4650/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.6535 (1.6558) Prec@1 54.375 (55.584) Prec@5 81.875 (84.290) Epoch: [74][4660/11272] Time 0.742 (0.787) Data 0.002 (0.002) Loss 1.6365 (1.6558) Prec@1 58.125 (55.587) Prec@5 84.375 (84.289) Epoch: [74][4670/11272] Time 0.846 (0.787) Data 0.002 (0.002) Loss 1.8435 (1.6561) Prec@1 48.750 (55.579) Prec@5 82.500 (84.283) Epoch: [74][4680/11272] Time 0.875 (0.787) Data 0.001 (0.002) Loss 1.5870 (1.6561) Prec@1 58.125 (55.576) Prec@5 83.125 (84.282) Epoch: [74][4690/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.7391 (1.6562) Prec@1 53.750 (55.575) Prec@5 86.250 (84.283) Epoch: [74][4700/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 1.6694 (1.6563) Prec@1 55.625 (55.572) Prec@5 83.750 (84.280) Epoch: [74][4710/11272] Time 0.811 (0.787) Data 0.001 (0.002) Loss 1.6643 (1.6563) Prec@1 58.125 (55.576) Prec@5 83.125 (84.279) Epoch: [74][4720/11272] Time 0.810 (0.787) Data 0.001 (0.002) Loss 1.7483 (1.6563) Prec@1 52.500 (55.573) Prec@5 83.125 (84.280) Epoch: [74][4730/11272] Time 0.752 (0.787) Data 0.002 (0.002) Loss 1.4804 (1.6563) Prec@1 55.625 (55.571) Prec@5 86.875 (84.282) Epoch: [74][4740/11272] Time 0.780 (0.787) Data 0.002 (0.002) Loss 1.4777 (1.6564) Prec@1 60.000 (55.573) Prec@5 88.750 (84.282) Epoch: [74][4750/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.6744 (1.6564) Prec@1 50.625 (55.571) Prec@5 86.250 (84.280) Epoch: [74][4760/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.4140 (1.6563) Prec@1 66.250 (55.574) Prec@5 85.625 (84.280) Epoch: [74][4770/11272] Time 0.747 (0.787) Data 0.002 (0.002) Loss 1.7064 (1.6562) Prec@1 54.375 (55.575) Prec@5 80.625 (84.280) Epoch: [74][4780/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.7665 (1.6563) Prec@1 53.125 (55.574) Prec@5 82.500 (84.278) Epoch: [74][4790/11272] Time 0.828 (0.787) Data 0.002 (0.002) Loss 1.6219 (1.6562) Prec@1 59.375 (55.574) Prec@5 79.375 (84.277) Epoch: [74][4800/11272] Time 0.815 (0.787) Data 0.002 (0.002) Loss 1.6602 (1.6563) Prec@1 58.750 (55.574) Prec@5 83.125 (84.275) Epoch: [74][4810/11272] Time 0.771 (0.787) Data 0.002 (0.002) Loss 1.6196 (1.6562) Prec@1 56.875 (55.575) Prec@5 81.875 (84.274) Epoch: [74][4820/11272] Time 0.851 (0.787) Data 0.002 (0.002) Loss 1.6830 (1.6562) Prec@1 56.875 (55.573) Prec@5 81.250 (84.275) Epoch: [74][4830/11272] Time 0.812 (0.787) Data 0.001 (0.002) Loss 1.6529 (1.6564) Prec@1 51.250 (55.566) Prec@5 86.250 (84.273) Epoch: [74][4840/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.7462 (1.6564) Prec@1 56.875 (55.566) Prec@5 83.750 (84.272) Epoch: [74][4850/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.7438 (1.6565) Prec@1 55.000 (55.565) Prec@5 83.750 (84.272) Epoch: [74][4860/11272] Time 0.819 (0.787) Data 0.002 (0.002) Loss 1.4090 (1.6564) Prec@1 64.375 (55.567) Prec@5 88.125 (84.273) Epoch: [74][4870/11272] Time 0.845 (0.787) Data 0.001 (0.002) Loss 1.5193 (1.6564) Prec@1 58.750 (55.566) Prec@5 86.250 (84.275) Epoch: [74][4880/11272] Time 0.701 (0.787) Data 0.001 (0.002) Loss 1.5902 (1.6563) Prec@1 58.750 (55.569) Prec@5 84.375 (84.277) Epoch: [74][4890/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 1.5966 (1.6562) Prec@1 53.125 (55.570) Prec@5 86.250 (84.277) Epoch: [74][4900/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.4461 (1.6561) Prec@1 61.250 (55.572) Prec@5 88.125 (84.277) Epoch: [74][4910/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.5652 (1.6559) Prec@1 63.750 (55.579) Prec@5 83.750 (84.280) Epoch: [74][4920/11272] Time 0.771 (0.787) Data 0.001 (0.002) Loss 1.9688 (1.6559) Prec@1 49.375 (55.579) Prec@5 80.625 (84.279) Epoch: [74][4930/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.8910 (1.6561) Prec@1 48.750 (55.576) Prec@5 81.875 (84.276) Epoch: [74][4940/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.6359 (1.6561) Prec@1 54.375 (55.574) Prec@5 80.625 (84.273) Epoch: [74][4950/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.4667 (1.6561) Prec@1 60.625 (55.574) Prec@5 88.125 (84.274) Epoch: [74][4960/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 2.0137 (1.6562) Prec@1 48.125 (55.573) Prec@5 75.000 (84.271) Epoch: [74][4970/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.5591 (1.6561) Prec@1 56.875 (55.578) Prec@5 83.125 (84.273) Epoch: [74][4980/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.5844 (1.6561) Prec@1 60.000 (55.579) Prec@5 86.250 (84.274) Epoch: [74][4990/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.6138 (1.6561) Prec@1 56.250 (55.575) Prec@5 83.125 (84.274) Epoch: [74][5000/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.8402 (1.6561) Prec@1 50.000 (55.576) Prec@5 81.250 (84.275) Epoch: [74][5010/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 1.8603 (1.6562) Prec@1 51.250 (55.572) Prec@5 81.875 (84.273) Epoch: [74][5020/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.5773 (1.6562) Prec@1 56.250 (55.568) Prec@5 84.375 (84.272) Epoch: [74][5030/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.8226 (1.6563) Prec@1 54.375 (55.565) Prec@5 75.625 (84.271) Epoch: [74][5040/11272] Time 0.762 (0.787) Data 0.002 (0.002) Loss 1.5491 (1.6561) Prec@1 57.500 (55.569) Prec@5 86.250 (84.273) Epoch: [74][5050/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.8146 (1.6563) Prec@1 47.500 (55.564) Prec@5 80.000 (84.271) Epoch: [74][5060/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.6634 (1.6562) Prec@1 53.125 (55.563) Prec@5 87.500 (84.273) Epoch: [74][5070/11272] Time 0.690 (0.787) Data 0.001 (0.002) Loss 1.5586 (1.6562) Prec@1 57.500 (55.562) Prec@5 85.625 (84.277) Epoch: [74][5080/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.6743 (1.6561) Prec@1 53.125 (55.564) Prec@5 86.875 (84.277) Epoch: [74][5090/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.8166 (1.6562) Prec@1 53.125 (55.562) Prec@5 82.500 (84.276) Epoch: [74][5100/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 1.7576 (1.6561) Prec@1 55.625 (55.564) Prec@5 83.750 (84.276) Epoch: [74][5110/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.8805 (1.6562) Prec@1 49.375 (55.563) Prec@5 79.375 (84.274) Epoch: [74][5120/11272] Time 0.893 (0.787) Data 0.002 (0.002) Loss 1.8739 (1.6563) Prec@1 54.375 (55.560) Prec@5 81.250 (84.273) Epoch: [74][5130/11272] Time 0.844 (0.787) Data 0.002 (0.002) Loss 1.6164 (1.6564) Prec@1 55.625 (55.558) Prec@5 86.875 (84.271) Epoch: [74][5140/11272] Time 0.760 (0.787) Data 0.001 (0.002) Loss 1.6945 (1.6563) Prec@1 54.375 (55.559) Prec@5 84.375 (84.273) Epoch: [74][5150/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 1.7586 (1.6564) Prec@1 55.000 (55.555) Prec@5 83.750 (84.274) Epoch: [74][5160/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.6919 (1.6563) Prec@1 55.000 (55.555) Prec@5 82.500 (84.274) Epoch: [74][5170/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.5548 (1.6563) Prec@1 63.750 (55.559) Prec@5 83.750 (84.272) Epoch: [74][5180/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 1.5095 (1.6564) Prec@1 58.750 (55.559) Prec@5 85.625 (84.271) Epoch: [74][5190/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.8022 (1.6565) Prec@1 48.750 (55.557) Prec@5 82.500 (84.268) Epoch: [74][5200/11272] Time 0.817 (0.787) Data 0.002 (0.002) Loss 1.4978 (1.6565) Prec@1 56.250 (55.555) Prec@5 87.500 (84.267) Epoch: [74][5210/11272] Time 0.744 (0.787) Data 0.003 (0.002) Loss 1.7015 (1.6565) Prec@1 55.625 (55.554) Prec@5 83.750 (84.266) Epoch: [74][5220/11272] Time 0.749 (0.787) Data 0.002 (0.002) Loss 1.6753 (1.6565) Prec@1 52.500 (55.555) Prec@5 86.250 (84.266) Epoch: [74][5230/11272] Time 0.815 (0.787) Data 0.001 (0.002) Loss 1.7121 (1.6566) Prec@1 51.875 (55.551) Prec@5 85.625 (84.264) Epoch: [74][5240/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.5930 (1.6565) Prec@1 60.625 (55.554) Prec@5 85.000 (84.266) Epoch: [74][5250/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.5943 (1.6565) Prec@1 56.875 (55.552) Prec@5 85.000 (84.267) Epoch: [74][5260/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.7732 (1.6565) Prec@1 51.875 (55.550) Prec@5 83.125 (84.265) Epoch: [74][5270/11272] Time 0.878 (0.787) Data 0.002 (0.002) Loss 1.5880 (1.6566) Prec@1 58.125 (55.548) Prec@5 83.750 (84.266) Epoch: [74][5280/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.6919 (1.6567) Prec@1 53.750 (55.545) Prec@5 83.750 (84.264) Epoch: [74][5290/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.6471 (1.6568) Prec@1 55.625 (55.543) Prec@5 86.250 (84.261) Epoch: [74][5300/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.6344 (1.6567) Prec@1 55.625 (55.547) Prec@5 83.750 (84.261) Epoch: [74][5310/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.6613 (1.6568) Prec@1 55.625 (55.545) Prec@5 82.500 (84.258) Epoch: [74][5320/11272] Time 0.811 (0.786) Data 0.002 (0.002) Loss 1.9265 (1.6569) Prec@1 53.125 (55.544) Prec@5 80.000 (84.257) Epoch: [74][5330/11272] Time 0.727 (0.786) Data 0.002 (0.002) Loss 1.7070 (1.6570) Prec@1 57.500 (55.541) Prec@5 85.625 (84.256) Epoch: [74][5340/11272] Time 0.887 (0.787) Data 0.001 (0.002) Loss 1.7144 (1.6569) Prec@1 58.750 (55.545) Prec@5 83.125 (84.256) Epoch: [74][5350/11272] Time 0.838 (0.787) Data 0.001 (0.002) Loss 1.5541 (1.6568) Prec@1 57.500 (55.546) Prec@5 88.125 (84.256) Epoch: [74][5360/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.7610 (1.6568) Prec@1 53.750 (55.546) Prec@5 81.875 (84.255) Epoch: [74][5370/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.4785 (1.6566) Prec@1 57.500 (55.551) Prec@5 86.250 (84.259) Epoch: [74][5380/11272] Time 0.823 (0.787) Data 0.002 (0.002) Loss 1.5315 (1.6565) Prec@1 56.250 (55.552) Prec@5 86.875 (84.259) Epoch: [74][5390/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.4808 (1.6565) Prec@1 63.750 (55.556) Prec@5 84.375 (84.261) Epoch: [74][5400/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.6381 (1.6565) Prec@1 55.625 (55.556) Prec@5 87.500 (84.262) Epoch: [74][5410/11272] Time 0.719 (0.786) Data 0.002 (0.002) Loss 1.6710 (1.6565) Prec@1 52.500 (55.556) Prec@5 81.875 (84.260) Epoch: [74][5420/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.6598 (1.6565) Prec@1 53.125 (55.554) Prec@5 83.750 (84.261) Epoch: [74][5430/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.6392 (1.6565) Prec@1 52.500 (55.552) Prec@5 83.125 (84.261) Epoch: [74][5440/11272] Time 0.737 (0.787) Data 0.001 (0.002) Loss 1.7222 (1.6566) Prec@1 51.875 (55.549) Prec@5 83.750 (84.259) Epoch: [74][5450/11272] Time 0.749 (0.787) Data 0.002 (0.002) Loss 1.7489 (1.6568) Prec@1 55.000 (55.545) Prec@5 83.750 (84.256) Epoch: [74][5460/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.2840 (1.6568) Prec@1 65.625 (55.544) Prec@5 91.250 (84.256) Epoch: [74][5470/11272] Time 0.728 (0.787) Data 0.004 (0.002) Loss 1.5415 (1.6568) Prec@1 55.625 (55.545) Prec@5 87.500 (84.258) Epoch: [74][5480/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.5995 (1.6568) Prec@1 54.375 (55.545) Prec@5 86.875 (84.260) Epoch: [74][5490/11272] Time 0.871 (0.787) Data 0.002 (0.002) Loss 1.7513 (1.6567) Prec@1 53.750 (55.548) Prec@5 85.000 (84.261) Epoch: [74][5500/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.5703 (1.6568) Prec@1 58.125 (55.547) Prec@5 88.125 (84.259) Epoch: [74][5510/11272] Time 0.798 (0.787) Data 0.002 (0.002) Loss 1.7376 (1.6567) Prec@1 55.625 (55.549) Prec@5 81.875 (84.262) Epoch: [74][5520/11272] Time 0.750 (0.787) Data 0.002 (0.002) Loss 1.7248 (1.6568) Prec@1 51.250 (55.548) Prec@5 83.750 (84.261) Epoch: [74][5530/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 1.8380 (1.6569) Prec@1 49.375 (55.545) Prec@5 78.125 (84.258) Epoch: [74][5540/11272] Time 0.846 (0.787) Data 0.002 (0.002) Loss 1.7535 (1.6570) Prec@1 53.125 (55.543) Prec@5 85.625 (84.258) Epoch: [74][5550/11272] Time 0.752 (0.787) Data 0.002 (0.002) Loss 1.7832 (1.6570) Prec@1 45.000 (55.540) Prec@5 83.125 (84.258) Epoch: [74][5560/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.7206 (1.6570) Prec@1 54.375 (55.541) Prec@5 81.875 (84.258) Epoch: [74][5570/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.5261 (1.6569) Prec@1 59.375 (55.543) Prec@5 87.500 (84.258) Epoch: [74][5580/11272] Time 0.880 (0.787) Data 0.002 (0.002) Loss 1.6800 (1.6570) Prec@1 56.250 (55.540) Prec@5 83.125 (84.255) Epoch: [74][5590/11272] Time 0.739 (0.787) Data 0.002 (0.002) Loss 1.7143 (1.6569) Prec@1 56.875 (55.544) Prec@5 81.875 (84.258) Epoch: [74][5600/11272] Time 0.846 (0.787) Data 0.002 (0.002) Loss 1.6839 (1.6570) Prec@1 57.500 (55.544) Prec@5 83.125 (84.255) Epoch: [74][5610/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.7154 (1.6570) Prec@1 55.625 (55.548) Prec@5 82.500 (84.254) Epoch: [74][5620/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.8493 (1.6570) Prec@1 48.750 (55.549) Prec@5 83.125 (84.254) Epoch: [74][5630/11272] Time 0.770 (0.787) Data 0.001 (0.002) Loss 1.5593 (1.6569) Prec@1 58.125 (55.549) Prec@5 87.500 (84.256) Epoch: [74][5640/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.7907 (1.6570) Prec@1 55.625 (55.548) Prec@5 80.625 (84.254) Epoch: [74][5650/11272] Time 0.872 (0.787) Data 0.002 (0.002) Loss 1.5729 (1.6572) Prec@1 52.500 (55.546) Prec@5 87.500 (84.251) Epoch: [74][5660/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 1.6545 (1.6572) Prec@1 55.625 (55.545) Prec@5 83.750 (84.250) Epoch: [74][5670/11272] Time 0.720 (0.787) Data 0.002 (0.002) Loss 1.6626 (1.6571) Prec@1 58.125 (55.546) Prec@5 81.250 (84.252) Epoch: [74][5680/11272] Time 0.803 (0.787) Data 0.001 (0.002) Loss 1.5821 (1.6571) Prec@1 60.000 (55.547) Prec@5 84.375 (84.253) Epoch: [74][5690/11272] Time 0.856 (0.787) Data 0.002 (0.002) Loss 1.8109 (1.6570) Prec@1 50.000 (55.547) Prec@5 82.500 (84.256) Epoch: [74][5700/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.5774 (1.6570) Prec@1 56.250 (55.544) Prec@5 83.125 (84.254) Epoch: [74][5710/11272] Time 0.761 (0.787) Data 0.002 (0.002) Loss 1.6886 (1.6570) Prec@1 55.000 (55.545) Prec@5 82.500 (84.256) Epoch: [74][5720/11272] Time 0.804 (0.787) Data 0.002 (0.002) Loss 1.6158 (1.6569) Prec@1 60.000 (55.548) Prec@5 84.375 (84.257) Epoch: [74][5730/11272] Time 0.826 (0.787) Data 0.002 (0.002) Loss 1.4806 (1.6569) Prec@1 63.125 (55.547) Prec@5 86.250 (84.259) Epoch: [74][5740/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.9887 (1.6571) Prec@1 47.500 (55.541) Prec@5 79.375 (84.256) Epoch: [74][5750/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.7864 (1.6572) Prec@1 55.625 (55.540) Prec@5 80.625 (84.255) Epoch: [74][5760/11272] Time 0.820 (0.787) Data 0.002 (0.002) Loss 1.7744 (1.6571) Prec@1 52.500 (55.542) Prec@5 81.250 (84.257) Epoch: [74][5770/11272] Time 0.714 (0.787) Data 0.002 (0.002) Loss 1.5951 (1.6572) Prec@1 53.750 (55.540) Prec@5 86.875 (84.254) Epoch: [74][5780/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.8099 (1.6572) Prec@1 51.875 (55.536) Prec@5 81.875 (84.253) Epoch: [74][5790/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.5615 (1.6571) Prec@1 54.375 (55.539) Prec@5 82.500 (84.254) Epoch: [74][5800/11272] Time 0.870 (0.787) Data 0.002 (0.002) Loss 1.5907 (1.6571) Prec@1 56.250 (55.538) Prec@5 85.625 (84.254) Epoch: [74][5810/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 1.6429 (1.6571) Prec@1 59.375 (55.537) Prec@5 83.750 (84.251) Epoch: [74][5820/11272] Time 0.750 (0.787) Data 0.001 (0.002) Loss 1.6573 (1.6572) Prec@1 54.375 (55.536) Prec@5 83.750 (84.250) Epoch: [74][5830/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.8455 (1.6574) Prec@1 55.000 (55.531) Prec@5 81.875 (84.247) Epoch: [74][5840/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.5229 (1.6574) Prec@1 61.875 (55.531) Prec@5 84.375 (84.246) Epoch: [74][5850/11272] Time 0.746 (0.787) Data 0.001 (0.002) Loss 1.6988 (1.6574) Prec@1 55.000 (55.529) Prec@5 82.500 (84.244) Epoch: [74][5860/11272] Time 0.757 (0.787) Data 0.002 (0.002) Loss 1.7109 (1.6575) Prec@1 54.375 (55.528) Prec@5 85.625 (84.245) Epoch: [74][5870/11272] Time 0.861 (0.787) Data 0.002 (0.002) Loss 1.8778 (1.6575) Prec@1 51.875 (55.530) Prec@5 77.500 (84.244) Epoch: [74][5880/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.5083 (1.6576) Prec@1 54.375 (55.526) Prec@5 88.750 (84.241) Epoch: [74][5890/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.8328 (1.6576) Prec@1 48.125 (55.525) Prec@5 79.375 (84.240) Epoch: [74][5900/11272] Time 0.793 (0.787) Data 0.001 (0.002) Loss 1.7649 (1.6577) Prec@1 51.875 (55.523) Prec@5 79.375 (84.240) Epoch: [74][5910/11272] Time 0.810 (0.787) Data 0.001 (0.002) Loss 1.6588 (1.6577) Prec@1 57.500 (55.524) Prec@5 81.875 (84.240) Epoch: [74][5920/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.7767 (1.6577) Prec@1 51.875 (55.523) Prec@5 81.875 (84.240) Epoch: [74][5930/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 1.8731 (1.6578) Prec@1 50.625 (55.521) Prec@5 80.625 (84.238) Epoch: [74][5940/11272] Time 0.866 (0.787) Data 0.002 (0.002) Loss 1.5674 (1.6578) Prec@1 57.500 (55.523) Prec@5 85.000 (84.236) Epoch: [74][5950/11272] Time 0.809 (0.787) Data 0.001 (0.002) Loss 1.8176 (1.6579) Prec@1 46.875 (55.521) Prec@5 83.750 (84.234) Epoch: [74][5960/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.4597 (1.6579) Prec@1 61.250 (55.521) Prec@5 86.875 (84.236) Epoch: [74][5970/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.8282 (1.6579) Prec@1 46.875 (55.522) Prec@5 81.250 (84.237) Epoch: [74][5980/11272] Time 0.823 (0.787) Data 0.002 (0.002) Loss 1.6151 (1.6580) Prec@1 53.125 (55.517) Prec@5 85.625 (84.235) Epoch: [74][5990/11272] Time 0.803 (0.787) Data 0.001 (0.002) Loss 1.5900 (1.6580) Prec@1 56.875 (55.515) Prec@5 84.375 (84.236) Epoch: [74][6000/11272] Time 0.752 (0.787) Data 0.001 (0.002) Loss 1.8449 (1.6579) Prec@1 53.750 (55.516) Prec@5 81.250 (84.238) Epoch: [74][6010/11272] Time 0.910 (0.787) Data 0.002 (0.002) Loss 1.4304 (1.6580) Prec@1 61.875 (55.517) Prec@5 87.500 (84.237) Epoch: [74][6020/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.8165 (1.6580) Prec@1 54.375 (55.518) Prec@5 81.875 (84.237) Epoch: [74][6030/11272] Time 0.761 (0.787) Data 0.002 (0.002) Loss 1.8206 (1.6580) Prec@1 56.250 (55.518) Prec@5 83.125 (84.236) Epoch: [74][6040/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.7312 (1.6579) Prec@1 48.125 (55.521) Prec@5 86.250 (84.238) Epoch: [74][6050/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.6707 (1.6578) Prec@1 52.500 (55.522) Prec@5 84.375 (84.240) Epoch: [74][6060/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.5297 (1.6578) Prec@1 57.500 (55.522) Prec@5 86.250 (84.241) Epoch: [74][6070/11272] Time 0.797 (0.787) Data 0.002 (0.002) Loss 1.6252 (1.6577) Prec@1 57.500 (55.523) Prec@5 88.125 (84.243) Epoch: [74][6080/11272] Time 0.768 (0.787) Data 0.002 (0.002) Loss 1.6045 (1.6577) Prec@1 55.625 (55.524) Prec@5 83.125 (84.242) Epoch: [74][6090/11272] Time 0.858 (0.787) Data 0.002 (0.002) Loss 1.6535 (1.6577) Prec@1 55.625 (55.524) Prec@5 86.875 (84.243) Epoch: [74][6100/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 1.6826 (1.6578) Prec@1 57.500 (55.524) Prec@5 81.875 (84.241) Epoch: [74][6110/11272] Time 0.731 (0.787) Data 0.002 (0.002) Loss 1.6007 (1.6576) Prec@1 57.500 (55.526) Prec@5 87.500 (84.244) Epoch: [74][6120/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 1.9565 (1.6577) Prec@1 51.875 (55.524) Prec@5 81.875 (84.246) Epoch: [74][6130/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.8779 (1.6577) Prec@1 50.000 (55.524) Prec@5 80.000 (84.245) Epoch: [74][6140/11272] Time 0.739 (0.787) Data 0.004 (0.002) Loss 1.6886 (1.6577) Prec@1 58.750 (55.525) Prec@5 83.750 (84.244) Epoch: [74][6150/11272] Time 0.761 (0.787) Data 0.002 (0.002) Loss 1.5540 (1.6576) Prec@1 59.375 (55.527) Prec@5 86.875 (84.244) Epoch: [74][6160/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.8838 (1.6578) Prec@1 48.125 (55.522) Prec@5 78.125 (84.243) Epoch: [74][6170/11272] Time 0.852 (0.787) Data 0.002 (0.002) Loss 1.8832 (1.6579) Prec@1 51.250 (55.516) Prec@5 84.375 (84.243) Epoch: [74][6180/11272] Time 0.729 (0.787) Data 0.002 (0.002) Loss 1.6629 (1.6578) Prec@1 51.250 (55.517) Prec@5 85.000 (84.244) Epoch: [74][6190/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.3095 (1.6577) Prec@1 66.250 (55.518) Prec@5 91.250 (84.246) Epoch: [74][6200/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.4055 (1.6578) Prec@1 60.625 (55.515) Prec@5 88.125 (84.246) Epoch: [74][6210/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.6984 (1.6578) Prec@1 55.000 (55.513) Prec@5 83.750 (84.244) Epoch: [74][6220/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.6479 (1.6578) Prec@1 55.000 (55.513) Prec@5 85.625 (84.245) Epoch: [74][6230/11272] Time 0.769 (0.787) Data 0.002 (0.002) Loss 1.6015 (1.6578) Prec@1 54.375 (55.511) Prec@5 88.750 (84.245) Epoch: [74][6240/11272] Time 0.848 (0.787) Data 0.001 (0.002) Loss 1.5158 (1.6578) Prec@1 59.375 (55.510) Prec@5 88.125 (84.244) Epoch: [74][6250/11272] Time 0.864 (0.787) Data 0.001 (0.002) Loss 1.5125 (1.6578) Prec@1 57.500 (55.512) Prec@5 85.625 (84.245) Epoch: [74][6260/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.7670 (1.6579) Prec@1 51.875 (55.510) Prec@5 82.500 (84.244) Epoch: [74][6270/11272] Time 0.860 (0.787) Data 0.001 (0.002) Loss 1.5322 (1.6579) Prec@1 56.250 (55.511) Prec@5 85.000 (84.244) Epoch: [74][6280/11272] Time 0.859 (0.787) Data 0.002 (0.002) Loss 1.7607 (1.6579) Prec@1 55.625 (55.510) Prec@5 80.000 (84.244) Epoch: [74][6290/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.6342 (1.6579) Prec@1 60.625 (55.512) Prec@5 81.875 (84.245) Epoch: [74][6300/11272] Time 0.798 (0.787) Data 0.002 (0.002) Loss 1.8078 (1.6579) Prec@1 53.750 (55.511) Prec@5 81.250 (84.243) Epoch: [74][6310/11272] Time 0.824 (0.787) Data 0.001 (0.002) Loss 1.5509 (1.6578) Prec@1 58.125 (55.514) Prec@5 84.375 (84.244) Epoch: [74][6320/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.6331 (1.6579) Prec@1 52.500 (55.511) Prec@5 83.750 (84.244) Epoch: [74][6330/11272] Time 0.732 (0.787) Data 0.001 (0.002) Loss 1.6926 (1.6579) Prec@1 51.250 (55.511) Prec@5 81.250 (84.243) Epoch: [74][6340/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.6481 (1.6579) Prec@1 55.625 (55.514) Prec@5 82.500 (84.244) Epoch: [74][6350/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 1.4619 (1.6579) Prec@1 59.375 (55.514) Prec@5 90.000 (84.245) Epoch: [74][6360/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.3261 (1.6578) Prec@1 63.125 (55.513) Prec@5 87.500 (84.247) Epoch: [74][6370/11272] Time 0.707 (0.787) Data 0.001 (0.002) Loss 1.7348 (1.6578) Prec@1 58.125 (55.515) Prec@5 81.250 (84.247) Epoch: [74][6380/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 1.4320 (1.6578) Prec@1 56.875 (55.515) Prec@5 89.375 (84.246) Epoch: [74][6390/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.6935 (1.6578) Prec@1 53.750 (55.516) Prec@5 82.500 (84.245) Epoch: [74][6400/11272] Time 0.728 (0.787) Data 0.003 (0.002) Loss 1.8768 (1.6579) Prec@1 55.000 (55.514) Prec@5 79.375 (84.244) Epoch: [74][6410/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.5115 (1.6579) Prec@1 60.000 (55.516) Prec@5 85.000 (84.242) Epoch: [74][6420/11272] Time 0.804 (0.787) Data 0.001 (0.002) Loss 1.5884 (1.6579) Prec@1 58.750 (55.516) Prec@5 83.750 (84.242) Epoch: [74][6430/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.6627 (1.6580) Prec@1 58.750 (55.515) Prec@5 82.500 (84.240) Epoch: [74][6440/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.4778 (1.6579) Prec@1 58.125 (55.515) Prec@5 88.125 (84.242) Epoch: [74][6450/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.9144 (1.6579) Prec@1 49.375 (55.515) Prec@5 83.125 (84.242) Epoch: [74][6460/11272] Time 0.818 (0.787) Data 0.002 (0.002) Loss 1.6662 (1.6580) Prec@1 53.125 (55.516) Prec@5 88.125 (84.241) Epoch: [74][6470/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.7055 (1.6581) Prec@1 55.625 (55.514) Prec@5 85.625 (84.240) Epoch: [74][6480/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.9153 (1.6581) Prec@1 55.625 (55.515) Prec@5 80.625 (84.240) Epoch: [74][6490/11272] Time 0.722 (0.787) Data 0.001 (0.002) Loss 1.8231 (1.6582) Prec@1 48.750 (55.511) Prec@5 81.250 (84.238) Epoch: [74][6500/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 1.7584 (1.6583) Prec@1 51.875 (55.509) Prec@5 78.125 (84.236) Epoch: [74][6510/11272] Time 0.863 (0.787) Data 0.001 (0.002) Loss 1.5706 (1.6584) Prec@1 60.625 (55.505) Prec@5 86.250 (84.236) Epoch: [74][6520/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.6772 (1.6584) Prec@1 55.625 (55.505) Prec@5 83.750 (84.236) Epoch: [74][6530/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.5405 (1.6583) Prec@1 59.375 (55.506) Prec@5 86.875 (84.238) Epoch: [74][6540/11272] Time 0.818 (0.787) Data 0.002 (0.002) Loss 1.5725 (1.6584) Prec@1 58.750 (55.507) Prec@5 84.375 (84.236) Epoch: [74][6550/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.7211 (1.6584) Prec@1 53.125 (55.506) Prec@5 83.750 (84.237) Epoch: [74][6560/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.9377 (1.6585) Prec@1 46.875 (55.502) Prec@5 78.125 (84.235) Epoch: [74][6570/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.8630 (1.6585) Prec@1 45.625 (55.501) Prec@5 81.875 (84.236) Epoch: [74][6580/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.7600 (1.6584) Prec@1 53.750 (55.500) Prec@5 82.500 (84.237) Epoch: [74][6590/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.5580 (1.6584) Prec@1 50.000 (55.500) Prec@5 86.875 (84.237) Epoch: [74][6600/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 1.5746 (1.6584) Prec@1 51.875 (55.500) Prec@5 86.875 (84.237) Epoch: [74][6610/11272] Time 0.805 (0.787) Data 0.001 (0.002) Loss 1.6025 (1.6585) Prec@1 54.375 (55.498) Prec@5 86.875 (84.235) Epoch: [74][6620/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.6832 (1.6585) Prec@1 50.000 (55.499) Prec@5 85.000 (84.235) Epoch: [74][6630/11272] Time 0.708 (0.787) Data 0.002 (0.002) Loss 1.7224 (1.6585) Prec@1 52.500 (55.499) Prec@5 82.500 (84.234) Epoch: [74][6640/11272] Time 0.706 (0.787) Data 0.001 (0.002) Loss 1.6522 (1.6584) Prec@1 55.625 (55.501) Prec@5 85.625 (84.235) Epoch: [74][6650/11272] Time 0.868 (0.787) Data 0.001 (0.002) Loss 1.6943 (1.6583) Prec@1 55.625 (55.506) Prec@5 83.750 (84.235) Epoch: [74][6660/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.6340 (1.6583) Prec@1 58.125 (55.506) Prec@5 83.125 (84.234) Epoch: [74][6670/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.6013 (1.6583) Prec@1 58.125 (55.506) Prec@5 80.625 (84.232) Epoch: [74][6680/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.7576 (1.6583) Prec@1 51.250 (55.506) Prec@5 83.125 (84.232) Epoch: [74][6690/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.4632 (1.6583) Prec@1 58.125 (55.508) Prec@5 85.000 (84.231) Epoch: [74][6700/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.6381 (1.6582) Prec@1 58.750 (55.509) Prec@5 86.250 (84.232) Epoch: [74][6710/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 1.8264 (1.6583) Prec@1 56.875 (55.507) Prec@5 81.875 (84.231) Epoch: [74][6720/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.7887 (1.6583) Prec@1 53.125 (55.505) Prec@5 81.875 (84.230) Epoch: [74][6730/11272] Time 0.862 (0.787) Data 0.002 (0.002) Loss 2.0431 (1.6584) Prec@1 43.750 (55.504) Prec@5 78.125 (84.229) Epoch: [74][6740/11272] Time 0.705 (0.787) Data 0.001 (0.002) Loss 1.5421 (1.6584) Prec@1 58.125 (55.505) Prec@5 86.875 (84.228) Epoch: [74][6750/11272] Time 0.718 (0.787) Data 0.002 (0.002) Loss 1.7756 (1.6584) Prec@1 54.375 (55.505) Prec@5 84.375 (84.227) Epoch: [74][6760/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.6591 (1.6585) Prec@1 52.500 (55.501) Prec@5 81.875 (84.227) Epoch: [74][6770/11272] Time 0.864 (0.787) Data 0.002 (0.002) Loss 1.7752 (1.6584) Prec@1 51.250 (55.502) Prec@5 80.000 (84.230) Epoch: [74][6780/11272] Time 0.765 (0.787) Data 0.001 (0.002) Loss 1.7716 (1.6585) Prec@1 51.875 (55.500) Prec@5 85.625 (84.230) Epoch: [74][6790/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.7422 (1.6585) Prec@1 56.875 (55.499) Prec@5 81.875 (84.231) Epoch: [74][6800/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.4475 (1.6585) Prec@1 61.875 (55.501) Prec@5 89.375 (84.231) Epoch: [74][6810/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.5996 (1.6585) Prec@1 56.875 (55.502) Prec@5 86.250 (84.231) Epoch: [74][6820/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.6971 (1.6584) Prec@1 54.375 (55.504) Prec@5 82.500 (84.232) Epoch: [74][6830/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.6971 (1.6584) Prec@1 51.250 (55.505) Prec@5 83.125 (84.232) Epoch: [74][6840/11272] Time 0.839 (0.787) Data 0.002 (0.002) Loss 1.8268 (1.6585) Prec@1 55.000 (55.502) Prec@5 80.000 (84.231) Epoch: [74][6850/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 1.7067 (1.6585) Prec@1 55.000 (55.504) Prec@5 86.250 (84.232) Epoch: [74][6860/11272] Time 0.739 (0.787) Data 0.002 (0.002) Loss 1.8501 (1.6585) Prec@1 48.125 (55.500) Prec@5 81.875 (84.231) Epoch: [74][6870/11272] Time 0.877 (0.787) Data 0.002 (0.002) Loss 1.7532 (1.6586) Prec@1 55.625 (55.499) Prec@5 81.875 (84.229) Epoch: [74][6880/11272] Time 0.868 (0.787) Data 0.002 (0.002) Loss 1.5595 (1.6586) Prec@1 61.250 (55.501) Prec@5 84.375 (84.229) Epoch: [74][6890/11272] Time 0.733 (0.787) Data 0.002 (0.002) Loss 1.6851 (1.6587) Prec@1 56.875 (55.500) Prec@5 86.875 (84.228) Epoch: [74][6900/11272] Time 0.765 (0.787) Data 0.001 (0.002) Loss 1.5509 (1.6586) Prec@1 63.750 (55.500) Prec@5 83.125 (84.229) Epoch: [74][6910/11272] Time 0.837 (0.787) Data 0.001 (0.002) Loss 1.7006 (1.6587) Prec@1 55.000 (55.499) Prec@5 84.375 (84.226) Epoch: [74][6920/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.8178 (1.6588) Prec@1 55.625 (55.498) Prec@5 78.750 (84.224) Epoch: [74][6930/11272] Time 0.723 (0.787) Data 0.001 (0.002) Loss 1.5865 (1.6587) Prec@1 60.000 (55.499) Prec@5 85.000 (84.226) Epoch: [74][6940/11272] Time 0.788 (0.787) Data 0.002 (0.002) Loss 1.9543 (1.6587) Prec@1 50.625 (55.499) Prec@5 81.250 (84.227) Epoch: [74][6950/11272] Time 0.882 (0.787) Data 0.002 (0.002) Loss 1.5417 (1.6588) Prec@1 58.125 (55.498) Prec@5 85.000 (84.227) Epoch: [74][6960/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 1.6688 (1.6588) Prec@1 58.125 (55.497) Prec@5 85.000 (84.226) Epoch: [74][6970/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 1.8600 (1.6589) Prec@1 53.125 (55.496) Prec@5 78.125 (84.225) Epoch: [74][6980/11272] Time 0.891 (0.787) Data 0.002 (0.002) Loss 1.4673 (1.6589) Prec@1 58.750 (55.494) Prec@5 87.500 (84.224) Epoch: [74][6990/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.7461 (1.6589) Prec@1 50.000 (55.494) Prec@5 82.500 (84.224) Epoch: [74][7000/11272] Time 0.742 (0.787) Data 0.002 (0.002) Loss 1.7169 (1.6589) Prec@1 56.875 (55.493) Prec@5 78.750 (84.224) Epoch: [74][7010/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.6833 (1.6590) Prec@1 55.625 (55.493) Prec@5 85.625 (84.224) Epoch: [74][7020/11272] Time 0.836 (0.787) Data 0.001 (0.002) Loss 1.4877 (1.6590) Prec@1 64.375 (55.493) Prec@5 83.750 (84.224) Epoch: [74][7030/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.7036 (1.6590) Prec@1 54.375 (55.496) Prec@5 83.125 (84.225) Epoch: [74][7040/11272] Time 0.769 (0.787) Data 0.002 (0.002) Loss 1.7553 (1.6589) Prec@1 54.375 (55.498) Prec@5 82.500 (84.226) Epoch: [74][7050/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.9293 (1.6589) Prec@1 49.375 (55.497) Prec@5 78.125 (84.224) Epoch: [74][7060/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.7587 (1.6588) Prec@1 45.625 (55.497) Prec@5 85.000 (84.226) Epoch: [74][7070/11272] Time 0.728 (0.787) Data 0.003 (0.002) Loss 1.6341 (1.6589) Prec@1 52.500 (55.496) Prec@5 83.125 (84.224) Epoch: [74][7080/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.5948 (1.6590) Prec@1 56.250 (55.493) Prec@5 85.000 (84.223) Epoch: [74][7090/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.4649 (1.6589) Prec@1 56.875 (55.493) Prec@5 89.375 (84.223) Epoch: [74][7100/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.4389 (1.6589) Prec@1 68.125 (55.496) Prec@5 86.250 (84.223) Epoch: [74][7110/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.7334 (1.6589) Prec@1 52.500 (55.494) Prec@5 80.000 (84.222) Epoch: [74][7120/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.7299 (1.6590) Prec@1 55.000 (55.494) Prec@5 83.750 (84.222) Epoch: [74][7130/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.5259 (1.6589) Prec@1 62.500 (55.498) Prec@5 82.500 (84.223) Epoch: [74][7140/11272] Time 0.817 (0.787) Data 0.002 (0.002) Loss 1.6967 (1.6589) Prec@1 58.125 (55.498) Prec@5 83.125 (84.224) Epoch: [74][7150/11272] Time 0.753 (0.787) Data 0.002 (0.002) Loss 1.5542 (1.6589) Prec@1 58.750 (55.499) Prec@5 85.625 (84.224) Epoch: [74][7160/11272] Time 0.756 (0.787) Data 0.002 (0.002) Loss 1.4211 (1.6589) Prec@1 58.750 (55.497) Prec@5 88.125 (84.224) Epoch: [74][7170/11272] Time 0.848 (0.787) Data 0.003 (0.002) Loss 1.4629 (1.6589) Prec@1 59.375 (55.498) Prec@5 85.000 (84.222) Epoch: [74][7180/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.6475 (1.6589) Prec@1 59.375 (55.499) Prec@5 83.750 (84.222) Epoch: [74][7190/11272] Time 0.709 (0.787) Data 0.001 (0.002) Loss 1.7788 (1.6589) Prec@1 50.625 (55.497) Prec@5 76.875 (84.222) Epoch: [74][7200/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.4857 (1.6588) Prec@1 62.500 (55.499) Prec@5 86.250 (84.225) Epoch: [74][7210/11272] Time 0.876 (0.787) Data 0.002 (0.002) Loss 1.6487 (1.6588) Prec@1 58.750 (55.499) Prec@5 80.625 (84.223) Epoch: [74][7220/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.5754 (1.6587) Prec@1 57.500 (55.502) Prec@5 85.000 (84.223) Epoch: [74][7230/11272] Time 0.755 (0.787) Data 0.001 (0.002) Loss 1.4652 (1.6586) Prec@1 58.125 (55.504) Prec@5 85.625 (84.226) Epoch: [74][7240/11272] Time 0.875 (0.787) Data 0.002 (0.002) Loss 1.5922 (1.6587) Prec@1 58.750 (55.503) Prec@5 86.250 (84.225) Epoch: [74][7250/11272] Time 0.839 (0.787) Data 0.002 (0.002) Loss 1.7483 (1.6588) Prec@1 54.375 (55.502) Prec@5 83.125 (84.225) Epoch: [74][7260/11272] Time 0.716 (0.787) Data 0.001 (0.002) Loss 1.8239 (1.6588) Prec@1 50.000 (55.501) Prec@5 81.875 (84.224) Epoch: [74][7270/11272] Time 0.757 (0.787) Data 0.001 (0.002) Loss 1.5759 (1.6588) Prec@1 55.625 (55.500) Prec@5 83.125 (84.222) Epoch: [74][7280/11272] Time 0.795 (0.787) Data 0.001 (0.002) Loss 1.9409 (1.6589) Prec@1 46.250 (55.500) Prec@5 82.500 (84.221) Epoch: [74][7290/11272] Time 0.852 (0.787) Data 0.001 (0.002) Loss 1.6343 (1.6589) Prec@1 57.500 (55.500) Prec@5 83.750 (84.220) Epoch: [74][7300/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 1.8651 (1.6590) Prec@1 57.500 (55.498) Prec@5 80.625 (84.219) Epoch: [74][7310/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.5344 (1.6590) Prec@1 55.625 (55.499) Prec@5 86.875 (84.218) Epoch: [74][7320/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.9406 (1.6591) Prec@1 46.875 (55.496) Prec@5 81.250 (84.217) Epoch: [74][7330/11272] Time 0.736 (0.787) Data 0.003 (0.002) Loss 1.6400 (1.6592) Prec@1 53.750 (55.494) Prec@5 86.875 (84.217) Epoch: [74][7340/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.4738 (1.6591) Prec@1 59.375 (55.495) Prec@5 86.875 (84.218) Epoch: [74][7350/11272] Time 0.830 (0.787) Data 0.001 (0.002) Loss 1.4588 (1.6592) Prec@1 59.375 (55.494) Prec@5 86.875 (84.217) Epoch: [74][7360/11272] Time 0.811 (0.787) Data 0.002 (0.002) Loss 1.7064 (1.6592) Prec@1 55.625 (55.493) Prec@5 85.000 (84.218) Epoch: [74][7370/11272] Time 0.715 (0.787) Data 0.001 (0.002) Loss 1.7444 (1.6592) Prec@1 53.750 (55.493) Prec@5 84.375 (84.218) Epoch: [74][7380/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.7476 (1.6592) Prec@1 50.000 (55.492) Prec@5 81.875 (84.216) Epoch: [74][7390/11272] Time 0.875 (0.787) Data 0.002 (0.002) Loss 1.7997 (1.6593) Prec@1 56.250 (55.489) Prec@5 84.375 (84.216) Epoch: [74][7400/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 2.0292 (1.6593) Prec@1 48.125 (55.488) Prec@5 78.125 (84.217) Epoch: [74][7410/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.8785 (1.6593) Prec@1 48.125 (55.488) Prec@5 81.875 (84.216) Epoch: [74][7420/11272] Time 0.709 (0.787) Data 0.002 (0.002) Loss 1.6874 (1.6593) Prec@1 51.250 (55.486) Prec@5 83.750 (84.217) Epoch: [74][7430/11272] Time 0.844 (0.787) Data 0.001 (0.002) Loss 1.3914 (1.6592) Prec@1 61.250 (55.488) Prec@5 85.625 (84.217) Epoch: [74][7440/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.6807 (1.6592) Prec@1 49.375 (55.488) Prec@5 83.750 (84.218) Epoch: [74][7450/11272] Time 0.729 (0.787) Data 0.002 (0.002) Loss 1.9462 (1.6592) Prec@1 48.125 (55.488) Prec@5 80.000 (84.218) Epoch: [74][7460/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 1.5928 (1.6592) Prec@1 56.875 (55.488) Prec@5 85.625 (84.217) Epoch: [74][7470/11272] Time 0.833 (0.787) Data 0.001 (0.002) Loss 1.8718 (1.6592) Prec@1 51.875 (55.488) Prec@5 78.750 (84.216) Epoch: [74][7480/11272] Time 0.708 (0.787) Data 0.001 (0.002) Loss 1.5624 (1.6592) Prec@1 56.250 (55.487) Prec@5 85.000 (84.218) Epoch: [74][7490/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.8304 (1.6592) Prec@1 48.125 (55.488) Prec@5 81.250 (84.218) Epoch: [74][7500/11272] Time 0.823 (0.787) Data 0.001 (0.002) Loss 1.7121 (1.6592) Prec@1 53.125 (55.488) Prec@5 86.250 (84.219) Epoch: [74][7510/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.8582 (1.6593) Prec@1 50.625 (55.483) Prec@5 81.250 (84.218) Epoch: [74][7520/11272] Time 0.750 (0.787) Data 0.002 (0.002) Loss 1.8030 (1.6593) Prec@1 51.875 (55.480) Prec@5 79.375 (84.217) Epoch: [74][7530/11272] Time 0.715 (0.787) Data 0.002 (0.002) Loss 1.7051 (1.6594) Prec@1 55.000 (55.479) Prec@5 85.625 (84.217) Epoch: [74][7540/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 1.8614 (1.6594) Prec@1 50.625 (55.479) Prec@5 83.125 (84.217) Epoch: [74][7550/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.6776 (1.6594) Prec@1 55.000 (55.479) Prec@5 83.125 (84.216) Epoch: [74][7560/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.7226 (1.6595) Prec@1 57.500 (55.480) Prec@5 83.750 (84.216) Epoch: [74][7570/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.6699 (1.6594) Prec@1 57.500 (55.483) Prec@5 85.000 (84.217) Epoch: [74][7580/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.5015 (1.6593) Prec@1 56.875 (55.483) Prec@5 86.250 (84.219) Epoch: [74][7590/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.8816 (1.6594) Prec@1 55.625 (55.484) Prec@5 81.250 (84.217) Epoch: [74][7600/11272] Time 0.745 (0.787) Data 0.001 (0.002) Loss 1.8191 (1.6595) Prec@1 51.875 (55.482) Prec@5 77.500 (84.216) Epoch: [74][7610/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.7836 (1.6596) Prec@1 48.125 (55.480) Prec@5 84.375 (84.214) Epoch: [74][7620/11272] Time 0.770 (0.787) Data 0.001 (0.002) Loss 1.8441 (1.6595) Prec@1 51.250 (55.481) Prec@5 82.500 (84.214) Epoch: [74][7630/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 1.5997 (1.6596) Prec@1 55.625 (55.481) Prec@5 86.250 (84.214) Epoch: [74][7640/11272] Time 0.747 (0.787) Data 0.002 (0.002) Loss 1.5802 (1.6597) Prec@1 60.000 (55.480) Prec@5 85.625 (84.211) Epoch: [74][7650/11272] Time 0.809 (0.787) Data 0.001 (0.002) Loss 1.7807 (1.6597) Prec@1 53.125 (55.480) Prec@5 82.500 (84.210) Epoch: [74][7660/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.6894 (1.6597) Prec@1 53.750 (55.481) Prec@5 82.500 (84.211) Epoch: [74][7670/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 1.6768 (1.6597) Prec@1 55.625 (55.483) Prec@5 86.875 (84.210) Epoch: [74][7680/11272] Time 0.771 (0.787) Data 0.002 (0.002) Loss 1.5298 (1.6597) Prec@1 59.375 (55.484) Prec@5 85.000 (84.210) Epoch: [74][7690/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.6957 (1.6597) Prec@1 54.375 (55.485) Prec@5 88.750 (84.211) Epoch: [74][7700/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.8243 (1.6596) Prec@1 47.500 (55.486) Prec@5 83.750 (84.213) Epoch: [74][7710/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 1.7560 (1.6597) Prec@1 51.875 (55.485) Prec@5 80.000 (84.211) Epoch: [74][7720/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.7232 (1.6598) Prec@1 54.375 (55.482) Prec@5 82.500 (84.209) Epoch: [74][7730/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.7213 (1.6598) Prec@1 56.250 (55.482) Prec@5 81.250 (84.209) Epoch: [74][7740/11272] Time 0.748 (0.787) Data 0.001 (0.002) Loss 1.6414 (1.6598) Prec@1 61.250 (55.483) Prec@5 85.000 (84.209) Epoch: [74][7750/11272] Time 0.732 (0.787) Data 0.003 (0.002) Loss 1.6792 (1.6599) Prec@1 53.750 (55.483) Prec@5 81.875 (84.208) Epoch: [74][7760/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.3346 (1.6599) Prec@1 62.500 (55.483) Prec@5 88.750 (84.208) Epoch: [74][7770/11272] Time 0.853 (0.787) Data 0.002 (0.002) Loss 1.7472 (1.6600) Prec@1 54.375 (55.481) Prec@5 83.750 (84.205) Epoch: [74][7780/11272] Time 0.725 (0.787) Data 0.002 (0.002) Loss 1.6464 (1.6599) Prec@1 51.875 (55.481) Prec@5 85.625 (84.206) Epoch: [74][7790/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.7119 (1.6599) Prec@1 56.250 (55.481) Prec@5 82.500 (84.207) Epoch: [74][7800/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 1.5367 (1.6599) Prec@1 53.750 (55.481) Prec@5 86.875 (84.208) Epoch: [74][7810/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.9529 (1.6600) Prec@1 50.625 (55.480) Prec@5 76.250 (84.206) Epoch: [74][7820/11272] Time 0.749 (0.787) Data 0.001 (0.002) Loss 1.5130 (1.6599) Prec@1 60.000 (55.482) Prec@5 86.250 (84.206) Epoch: [74][7830/11272] Time 0.715 (0.787) Data 0.002 (0.002) Loss 1.7222 (1.6600) Prec@1 60.000 (55.482) Prec@5 80.625 (84.205) Epoch: [74][7840/11272] Time 0.837 (0.787) Data 0.002 (0.002) Loss 1.7684 (1.6600) Prec@1 49.375 (55.481) Prec@5 83.125 (84.205) Epoch: [74][7850/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.6045 (1.6599) Prec@1 56.250 (55.483) Prec@5 86.250 (84.205) Epoch: [74][7860/11272] Time 0.678 (0.787) Data 0.001 (0.002) Loss 1.5667 (1.6599) Prec@1 55.000 (55.483) Prec@5 84.375 (84.207) Epoch: [74][7870/11272] Time 0.872 (0.787) Data 0.001 (0.002) Loss 1.5054 (1.6598) Prec@1 58.750 (55.484) Prec@5 88.750 (84.209) Epoch: [74][7880/11272] Time 0.822 (0.787) Data 0.001 (0.002) Loss 1.7954 (1.6598) Prec@1 56.250 (55.485) Prec@5 77.500 (84.208) Epoch: [74][7890/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.8104 (1.6598) Prec@1 50.625 (55.483) Prec@5 83.125 (84.208) Epoch: [74][7900/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.7050 (1.6598) Prec@1 50.625 (55.484) Prec@5 84.375 (84.209) Epoch: [74][7910/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.3780 (1.6598) Prec@1 58.750 (55.485) Prec@5 89.375 (84.210) Epoch: [74][7920/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.8144 (1.6599) Prec@1 48.125 (55.484) Prec@5 84.375 (84.208) Epoch: [74][7930/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.6801 (1.6599) Prec@1 50.625 (55.482) Prec@5 85.000 (84.208) Epoch: [74][7940/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.5783 (1.6599) Prec@1 53.750 (55.481) Prec@5 85.625 (84.206) Epoch: [74][7950/11272] Time 0.881 (0.787) Data 0.002 (0.002) Loss 1.9603 (1.6600) Prec@1 46.875 (55.480) Prec@5 80.000 (84.206) Epoch: [74][7960/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.7755 (1.6600) Prec@1 56.875 (55.481) Prec@5 83.750 (84.205) Epoch: [74][7970/11272] Time 0.720 (0.787) Data 0.001 (0.002) Loss 1.5529 (1.6599) Prec@1 55.625 (55.482) Prec@5 85.625 (84.205) Epoch: [74][7980/11272] Time 0.704 (0.787) Data 0.001 (0.002) Loss 1.6587 (1.6599) Prec@1 55.000 (55.480) Prec@5 83.125 (84.206) Epoch: [74][7990/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.5921 (1.6598) Prec@1 57.500 (55.484) Prec@5 88.750 (84.207) Epoch: [74][8000/11272] Time 0.726 (0.787) Data 0.003 (0.002) Loss 1.9137 (1.6599) Prec@1 48.750 (55.480) Prec@5 79.375 (84.205) Epoch: [74][8010/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.5214 (1.6600) Prec@1 58.125 (55.480) Prec@5 85.000 (84.204) Epoch: [74][8020/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.5356 (1.6600) Prec@1 55.000 (55.478) Prec@5 88.750 (84.206) Epoch: [74][8030/11272] Time 0.849 (0.787) Data 0.002 (0.002) Loss 1.7089 (1.6600) Prec@1 51.875 (55.476) Prec@5 83.750 (84.206) Epoch: [74][8040/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.7849 (1.6600) Prec@1 50.625 (55.477) Prec@5 82.500 (84.205) Epoch: [74][8050/11272] Time 0.750 (0.787) Data 0.002 (0.002) Loss 1.7337 (1.6599) Prec@1 55.000 (55.478) Prec@5 81.875 (84.206) Epoch: [74][8060/11272] Time 0.843 (0.787) Data 0.001 (0.002) Loss 1.7895 (1.6599) Prec@1 52.500 (55.478) Prec@5 83.750 (84.208) Epoch: [74][8070/11272] Time 0.828 (0.787) Data 0.001 (0.002) Loss 1.5381 (1.6598) Prec@1 63.750 (55.481) Prec@5 84.375 (84.209) Epoch: [74][8080/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.6533 (1.6598) Prec@1 58.750 (55.482) Prec@5 82.500 (84.210) Epoch: [74][8090/11272] Time 0.769 (0.787) Data 0.002 (0.002) Loss 1.8692 (1.6597) Prec@1 48.750 (55.483) Prec@5 77.500 (84.209) Epoch: [74][8100/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.6755 (1.6597) Prec@1 55.000 (55.485) Prec@5 82.500 (84.209) Epoch: [74][8110/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.6592 (1.6597) Prec@1 53.125 (55.486) Prec@5 86.250 (84.209) Epoch: [74][8120/11272] Time 0.780 (0.787) Data 0.002 (0.002) Loss 1.6405 (1.6597) Prec@1 55.625 (55.486) Prec@5 87.500 (84.208) Epoch: [74][8130/11272] Time 0.855 (0.787) Data 0.002 (0.002) Loss 1.6161 (1.6598) Prec@1 56.875 (55.484) Prec@5 81.875 (84.207) Epoch: [74][8140/11272] Time 0.851 (0.787) Data 0.002 (0.002) Loss 1.6731 (1.6598) Prec@1 51.875 (55.481) Prec@5 85.000 (84.206) Epoch: [74][8150/11272] Time 0.780 (0.787) Data 0.002 (0.002) Loss 1.5474 (1.6598) Prec@1 60.625 (55.482) Prec@5 86.250 (84.205) Epoch: [74][8160/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.4917 (1.6598) Prec@1 60.625 (55.482) Prec@5 85.625 (84.207) Epoch: [74][8170/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.8424 (1.6598) Prec@1 55.625 (55.482) Prec@5 78.750 (84.208) Epoch: [74][8180/11272] Time 0.850 (0.787) Data 0.002 (0.002) Loss 1.7388 (1.6599) Prec@1 51.875 (55.481) Prec@5 84.375 (84.207) Epoch: [74][8190/11272] Time 0.740 (0.787) Data 0.001 (0.002) Loss 1.5641 (1.6599) Prec@1 61.875 (55.479) Prec@5 86.250 (84.205) Epoch: [74][8200/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.7200 (1.6599) Prec@1 53.125 (55.479) Prec@5 85.000 (84.206) Epoch: [74][8210/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.7202 (1.6600) Prec@1 54.375 (55.480) Prec@5 80.000 (84.204) Epoch: [74][8220/11272] Time 0.827 (0.787) Data 0.001 (0.002) Loss 1.6477 (1.6600) Prec@1 58.125 (55.479) Prec@5 82.500 (84.203) Epoch: [74][8230/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.8439 (1.6600) Prec@1 53.750 (55.480) Prec@5 78.750 (84.203) Epoch: [74][8240/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.7453 (1.6601) Prec@1 51.875 (55.478) Prec@5 78.750 (84.202) Epoch: [74][8250/11272] Time 0.877 (0.787) Data 0.002 (0.002) Loss 1.6586 (1.6601) Prec@1 51.250 (55.477) Prec@5 86.875 (84.203) Epoch: [74][8260/11272] Time 0.721 (0.787) Data 0.003 (0.002) Loss 1.8498 (1.6601) Prec@1 53.125 (55.476) Prec@5 80.625 (84.203) Epoch: [74][8270/11272] Time 0.712 (0.787) Data 0.002 (0.002) Loss 1.7164 (1.6602) Prec@1 60.000 (55.476) Prec@5 83.125 (84.203) Epoch: [74][8280/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.6496 (1.6601) Prec@1 53.125 (55.478) Prec@5 85.625 (84.204) Epoch: [74][8290/11272] Time 0.916 (0.787) Data 0.002 (0.002) Loss 1.5984 (1.6600) Prec@1 56.875 (55.480) Prec@5 86.250 (84.206) Epoch: [74][8300/11272] Time 0.739 (0.787) Data 0.001 (0.002) Loss 1.6422 (1.6600) Prec@1 59.375 (55.483) Prec@5 83.750 (84.207) Epoch: [74][8310/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.7062 (1.6599) Prec@1 50.625 (55.484) Prec@5 85.625 (84.208) Epoch: [74][8320/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.7321 (1.6600) Prec@1 55.000 (55.480) Prec@5 87.500 (84.208) Epoch: [74][8330/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.6501 (1.6600) Prec@1 55.000 (55.483) Prec@5 87.500 (84.208) Epoch: [74][8340/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 1.8819 (1.6600) Prec@1 51.250 (55.482) Prec@5 79.375 (84.207) Epoch: [74][8350/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.5644 (1.6601) Prec@1 55.000 (55.480) Prec@5 86.250 (84.206) Epoch: [74][8360/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.7698 (1.6601) Prec@1 52.500 (55.481) Prec@5 86.250 (84.206) Epoch: [74][8370/11272] Time 0.833 (0.787) Data 0.002 (0.002) Loss 1.7970 (1.6601) Prec@1 50.000 (55.478) Prec@5 78.750 (84.206) Epoch: [74][8380/11272] Time 0.749 (0.787) Data 0.001 (0.002) Loss 1.4903 (1.6600) Prec@1 58.750 (55.480) Prec@5 86.250 (84.207) Epoch: [74][8390/11272] Time 0.852 (0.787) Data 0.001 (0.002) Loss 1.7226 (1.6600) Prec@1 50.000 (55.479) Prec@5 86.250 (84.207) Epoch: [74][8400/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 1.8263 (1.6600) Prec@1 53.750 (55.478) Prec@5 80.625 (84.209) Epoch: [74][8410/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 1.9317 (1.6600) Prec@1 48.750 (55.479) Prec@5 81.875 (84.210) Epoch: [74][8420/11272] Time 0.718 (0.787) Data 0.001 (0.002) Loss 1.8917 (1.6601) Prec@1 52.500 (55.478) Prec@5 81.250 (84.209) Epoch: [74][8430/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.8157 (1.6601) Prec@1 51.250 (55.475) Prec@5 81.250 (84.208) Epoch: [74][8440/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.4681 (1.6602) Prec@1 58.750 (55.474) Prec@5 85.000 (84.208) Epoch: [74][8450/11272] Time 0.703 (0.787) Data 0.001 (0.002) Loss 1.8146 (1.6602) Prec@1 58.125 (55.475) Prec@5 81.250 (84.207) Epoch: [74][8460/11272] Time 0.733 (0.787) Data 0.001 (0.002) Loss 1.4448 (1.6602) Prec@1 62.500 (55.472) Prec@5 88.125 (84.206) Epoch: [74][8470/11272] Time 0.804 (0.787) Data 0.001 (0.002) Loss 1.5354 (1.6602) Prec@1 58.125 (55.473) Prec@5 86.875 (84.207) Epoch: [74][8480/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.4796 (1.6602) Prec@1 61.250 (55.476) Prec@5 91.250 (84.207) Epoch: [74][8490/11272] Time 0.762 (0.787) Data 0.002 (0.002) Loss 1.9743 (1.6602) Prec@1 53.750 (55.475) Prec@5 77.500 (84.206) Epoch: [74][8500/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.7332 (1.6602) Prec@1 50.625 (55.475) Prec@5 85.625 (84.206) Epoch: [74][8510/11272] Time 0.869 (0.787) Data 0.002 (0.002) Loss 1.7048 (1.6603) Prec@1 59.375 (55.476) Prec@5 81.250 (84.204) Epoch: [74][8520/11272] Time 0.875 (0.787) Data 0.002 (0.002) Loss 1.5701 (1.6603) Prec@1 58.750 (55.475) Prec@5 85.000 (84.204) Epoch: [74][8530/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.6664 (1.6603) Prec@1 56.250 (55.475) Prec@5 85.000 (84.204) Epoch: [74][8540/11272] Time 0.826 (0.787) Data 0.002 (0.002) Loss 1.7005 (1.6602) Prec@1 53.750 (55.477) Prec@5 80.000 (84.203) Epoch: [74][8550/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.9171 (1.6603) Prec@1 51.875 (55.478) Prec@5 79.375 (84.203) Epoch: [74][8560/11272] Time 0.724 (0.787) Data 0.002 (0.002) Loss 1.5892 (1.6604) Prec@1 60.000 (55.476) Prec@5 81.875 (84.201) Epoch: [74][8570/11272] Time 0.716 (0.787) Data 0.002 (0.002) Loss 1.7916 (1.6603) Prec@1 55.000 (55.476) Prec@5 80.625 (84.203) Epoch: [74][8580/11272] Time 0.809 (0.787) Data 0.001 (0.002) Loss 1.4943 (1.6604) Prec@1 56.250 (55.474) Prec@5 87.500 (84.202) Epoch: [74][8590/11272] Time 0.850 (0.787) Data 0.002 (0.002) Loss 1.3832 (1.6603) Prec@1 63.125 (55.475) Prec@5 87.500 (84.203) Epoch: [74][8600/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.8306 (1.6603) Prec@1 48.750 (55.476) Prec@5 83.750 (84.202) Epoch: [74][8610/11272] Time 0.723 (0.787) Data 0.002 (0.002) Loss 1.7814 (1.6604) Prec@1 51.875 (55.474) Prec@5 81.875 (84.201) Epoch: [74][8620/11272] Time 0.858 (0.787) Data 0.002 (0.002) Loss 1.8485 (1.6604) Prec@1 46.875 (55.473) Prec@5 80.625 (84.199) Epoch: [74][8630/11272] Time 0.859 (0.787) Data 0.002 (0.002) Loss 1.7699 (1.6605) Prec@1 50.625 (55.472) Prec@5 80.000 (84.197) Epoch: [74][8640/11272] Time 0.717 (0.787) Data 0.002 (0.002) Loss 1.6096 (1.6604) Prec@1 55.000 (55.473) Prec@5 84.375 (84.197) Epoch: [74][8650/11272] Time 0.682 (0.787) Data 0.001 (0.002) Loss 1.5038 (1.6604) Prec@1 56.250 (55.473) Prec@5 88.125 (84.199) Epoch: [74][8660/11272] Time 0.870 (0.786) Data 0.002 (0.002) Loss 1.7749 (1.6604) Prec@1 53.125 (55.472) Prec@5 84.375 (84.198) Epoch: [74][8670/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.8017 (1.6604) Prec@1 53.750 (55.471) Prec@5 83.125 (84.198) Epoch: [74][8680/11272] Time 0.714 (0.786) Data 0.001 (0.002) Loss 1.4333 (1.6603) Prec@1 55.625 (55.470) Prec@5 89.375 (84.199) Epoch: [74][8690/11272] Time 0.849 (0.787) Data 0.001 (0.002) Loss 1.7496 (1.6604) Prec@1 53.125 (55.469) Prec@5 82.500 (84.198) Epoch: [74][8700/11272] Time 0.851 (0.787) Data 0.001 (0.002) Loss 1.5088 (1.6604) Prec@1 60.625 (55.469) Prec@5 83.750 (84.197) Epoch: [74][8710/11272] Time 0.746 (0.787) Data 0.001 (0.002) Loss 1.8721 (1.6605) Prec@1 53.750 (55.467) Prec@5 80.000 (84.195) Epoch: [74][8720/11272] Time 0.760 (0.787) Data 0.003 (0.002) Loss 1.6179 (1.6604) Prec@1 56.250 (55.468) Prec@5 83.750 (84.195) Epoch: [74][8730/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.8017 (1.6605) Prec@1 52.500 (55.467) Prec@5 79.375 (84.194) Epoch: [74][8740/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 1.6836 (1.6606) Prec@1 53.125 (55.462) Prec@5 81.875 (84.191) Epoch: [74][8750/11272] Time 0.767 (0.786) Data 0.002 (0.002) Loss 1.5883 (1.6606) Prec@1 57.500 (55.462) Prec@5 86.250 (84.192) Epoch: [74][8760/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.6102 (1.6606) Prec@1 56.875 (55.462) Prec@5 86.250 (84.191) Epoch: [74][8770/11272] Time 0.853 (0.787) Data 0.002 (0.002) Loss 1.3509 (1.6606) Prec@1 65.625 (55.463) Prec@5 88.750 (84.192) Epoch: [74][8780/11272] Time 0.865 (0.787) Data 0.002 (0.002) Loss 1.5916 (1.6606) Prec@1 58.750 (55.463) Prec@5 86.250 (84.193) Epoch: [74][8790/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.7972 (1.6606) Prec@1 52.500 (55.464) Prec@5 81.250 (84.194) Epoch: [74][8800/11272] Time 0.874 (0.787) Data 0.001 (0.002) Loss 1.6208 (1.6605) Prec@1 55.625 (55.465) Prec@5 84.375 (84.196) Epoch: [74][8810/11272] Time 0.909 (0.787) Data 0.002 (0.002) Loss 1.7369 (1.6605) Prec@1 51.875 (55.466) Prec@5 83.125 (84.197) Epoch: [74][8820/11272] Time 0.711 (0.786) Data 0.002 (0.002) Loss 1.7042 (1.6604) Prec@1 52.500 (55.466) Prec@5 84.375 (84.197) Epoch: [74][8830/11272] Time 0.704 (0.787) Data 0.001 (0.002) Loss 1.7629 (1.6605) Prec@1 55.625 (55.464) Prec@5 83.125 (84.196) Epoch: [74][8840/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.7067 (1.6605) Prec@1 54.375 (55.462) Prec@5 85.625 (84.196) Epoch: [74][8850/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 1.6203 (1.6605) Prec@1 53.125 (55.463) Prec@5 84.375 (84.196) Epoch: [74][8860/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 1.4983 (1.6604) Prec@1 53.125 (55.465) Prec@5 85.625 (84.198) Epoch: [74][8870/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 1.7225 (1.6604) Prec@1 54.375 (55.465) Prec@5 85.625 (84.198) Epoch: [74][8880/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.6750 (1.6604) Prec@1 56.250 (55.466) Prec@5 83.125 (84.198) Epoch: [74][8890/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.7010 (1.6604) Prec@1 54.375 (55.467) Prec@5 82.500 (84.199) Epoch: [74][8900/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.8220 (1.6604) Prec@1 53.750 (55.468) Prec@5 79.375 (84.198) Epoch: [74][8910/11272] Time 0.752 (0.787) Data 0.002 (0.002) Loss 1.6314 (1.6604) Prec@1 55.625 (55.467) Prec@5 84.375 (84.196) Epoch: [74][8920/11272] Time 0.880 (0.787) Data 0.002 (0.002) Loss 1.8556 (1.6604) Prec@1 54.375 (55.468) Prec@5 78.750 (84.195) Epoch: [74][8930/11272] Time 0.774 (0.787) Data 0.003 (0.002) Loss 1.6089 (1.6603) Prec@1 54.375 (55.469) Prec@5 81.875 (84.198) Epoch: [74][8940/11272] Time 0.738 (0.787) Data 0.002 (0.002) Loss 1.6279 (1.6603) Prec@1 58.750 (55.470) Prec@5 83.750 (84.197) Epoch: [74][8950/11272] Time 0.793 (0.787) Data 0.001 (0.002) Loss 1.5992 (1.6604) Prec@1 58.125 (55.470) Prec@5 86.250 (84.197) Epoch: [74][8960/11272] Time 0.858 (0.787) Data 0.002 (0.002) Loss 1.5855 (1.6604) Prec@1 60.000 (55.469) Prec@5 88.125 (84.196) Epoch: [74][8970/11272] Time 0.721 (0.787) Data 0.002 (0.002) Loss 1.7266 (1.6604) Prec@1 48.125 (55.469) Prec@5 83.125 (84.196) Epoch: [74][8980/11272] Time 0.744 (0.787) Data 0.001 (0.002) Loss 1.4976 (1.6604) Prec@1 60.625 (55.470) Prec@5 85.000 (84.195) Epoch: [74][8990/11272] Time 0.834 (0.787) Data 0.002 (0.002) Loss 1.6932 (1.6603) Prec@1 54.375 (55.472) Prec@5 82.500 (84.197) Epoch: [74][9000/11272] Time 0.808 (0.787) Data 0.001 (0.002) Loss 1.8273 (1.6603) Prec@1 50.000 (55.471) Prec@5 82.500 (84.197) Epoch: [74][9010/11272] Time 0.754 (0.787) Data 0.002 (0.002) Loss 1.6163 (1.6603) Prec@1 59.375 (55.472) Prec@5 85.625 (84.197) Epoch: [74][9020/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.5417 (1.6603) Prec@1 58.750 (55.475) Prec@5 85.000 (84.197) Epoch: [74][9030/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.3957 (1.6602) Prec@1 61.250 (55.475) Prec@5 87.500 (84.196) Epoch: [74][9040/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.9222 (1.6603) Prec@1 48.750 (55.474) Prec@5 78.750 (84.197) Epoch: [74][9050/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.4432 (1.6602) Prec@1 61.875 (55.473) Prec@5 85.000 (84.198) Epoch: [74][9060/11272] Time 0.866 (0.787) Data 0.001 (0.002) Loss 1.6385 (1.6603) Prec@1 60.000 (55.471) Prec@5 82.500 (84.196) Epoch: [74][9070/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.6134 (1.6603) Prec@1 55.625 (55.472) Prec@5 81.875 (84.196) Epoch: [74][9080/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 1.9602 (1.6604) Prec@1 53.750 (55.470) Prec@5 81.250 (84.194) Epoch: [74][9090/11272] Time 0.723 (0.787) Data 0.002 (0.002) Loss 1.8833 (1.6604) Prec@1 46.875 (55.470) Prec@5 81.250 (84.194) Epoch: [74][9100/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.8605 (1.6606) Prec@1 47.500 (55.467) Prec@5 81.250 (84.191) Epoch: [74][9110/11272] Time 0.869 (0.787) Data 0.002 (0.002) Loss 1.6874 (1.6605) Prec@1 58.750 (55.466) Prec@5 81.875 (84.193) Epoch: [74][9120/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.5289 (1.6605) Prec@1 55.625 (55.466) Prec@5 90.625 (84.192) Epoch: [74][9130/11272] Time 0.765 (0.787) Data 0.002 (0.002) Loss 1.7869 (1.6605) Prec@1 53.125 (55.468) Prec@5 79.375 (84.192) Epoch: [74][9140/11272] Time 0.811 (0.787) Data 0.001 (0.002) Loss 1.7476 (1.6605) Prec@1 50.000 (55.468) Prec@5 83.125 (84.193) Epoch: [74][9150/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.5795 (1.6605) Prec@1 56.250 (55.468) Prec@5 86.250 (84.192) Epoch: [74][9160/11272] Time 0.707 (0.787) Data 0.001 (0.002) Loss 1.7196 (1.6605) Prec@1 47.500 (55.467) Prec@5 85.000 (84.192) Epoch: [74][9170/11272] Time 0.700 (0.787) Data 0.001 (0.002) Loss 1.5872 (1.6604) Prec@1 56.875 (55.468) Prec@5 86.875 (84.193) Epoch: [74][9180/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.6144 (1.6604) Prec@1 56.875 (55.469) Prec@5 85.000 (84.193) Epoch: [74][9190/11272] Time 0.750 (0.787) Data 0.003 (0.002) Loss 1.6653 (1.6605) Prec@1 56.250 (55.468) Prec@5 81.250 (84.191) Epoch: [74][9200/11272] Time 0.753 (0.787) Data 0.002 (0.002) Loss 1.8817 (1.6606) Prec@1 51.875 (55.466) Prec@5 82.500 (84.188) Epoch: [74][9210/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.6815 (1.6606) Prec@1 55.625 (55.466) Prec@5 82.500 (84.187) Epoch: [74][9220/11272] Time 0.847 (0.787) Data 0.002 (0.002) Loss 1.6817 (1.6607) Prec@1 53.750 (55.464) Prec@5 83.125 (84.186) Epoch: [74][9230/11272] Time 0.743 (0.787) Data 0.002 (0.002) Loss 1.7703 (1.6607) Prec@1 55.000 (55.465) Prec@5 84.375 (84.187) Epoch: [74][9240/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.5894 (1.6607) Prec@1 58.125 (55.465) Prec@5 82.500 (84.186) Epoch: [74][9250/11272] Time 0.817 (0.787) Data 0.001 (0.002) Loss 1.6931 (1.6607) Prec@1 52.500 (55.465) Prec@5 81.250 (84.186) Epoch: [74][9260/11272] Time 0.846 (0.787) Data 0.002 (0.002) Loss 1.7573 (1.6607) Prec@1 53.750 (55.464) Prec@5 81.875 (84.186) Epoch: [74][9270/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.6860 (1.6607) Prec@1 54.375 (55.465) Prec@5 81.250 (84.186) Epoch: [74][9280/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 1.7286 (1.6607) Prec@1 50.000 (55.464) Prec@5 80.000 (84.185) Epoch: [74][9290/11272] Time 0.868 (0.787) Data 0.002 (0.002) Loss 1.5964 (1.6607) Prec@1 56.875 (55.464) Prec@5 88.125 (84.187) Epoch: [74][9300/11272] Time 0.839 (0.787) Data 0.002 (0.002) Loss 1.6828 (1.6607) Prec@1 56.250 (55.465) Prec@5 81.250 (84.187) Epoch: [74][9310/11272] Time 0.744 (0.787) Data 0.001 (0.002) Loss 1.6121 (1.6608) Prec@1 59.375 (55.464) Prec@5 84.375 (84.186) Epoch: [74][9320/11272] Time 0.816 (0.787) Data 0.002 (0.002) Loss 1.7438 (1.6608) Prec@1 54.375 (55.465) Prec@5 82.500 (84.188) Epoch: [74][9330/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.8846 (1.6608) Prec@1 51.875 (55.464) Prec@5 80.625 (84.187) Epoch: [74][9340/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.6256 (1.6608) Prec@1 54.375 (55.463) Prec@5 82.500 (84.187) Epoch: [74][9350/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 1.6962 (1.6609) Prec@1 50.000 (55.461) Prec@5 85.625 (84.188) Epoch: [74][9360/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.6502 (1.6609) Prec@1 60.000 (55.460) Prec@5 82.500 (84.186) Epoch: [74][9370/11272] Time 0.809 (0.787) Data 0.001 (0.002) Loss 1.6765 (1.6609) Prec@1 52.500 (55.459) Prec@5 85.625 (84.185) Epoch: [74][9380/11272] Time 0.721 (0.787) Data 0.002 (0.002) Loss 1.6278 (1.6609) Prec@1 53.750 (55.458) Prec@5 83.750 (84.185) Epoch: [74][9390/11272] Time 0.783 (0.787) Data 0.002 (0.002) Loss 1.5764 (1.6609) Prec@1 54.375 (55.460) Prec@5 85.625 (84.186) Epoch: [74][9400/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.8296 (1.6609) Prec@1 50.625 (55.461) Prec@5 82.500 (84.185) Epoch: [74][9410/11272] Time 0.794 (0.787) Data 0.001 (0.002) Loss 1.7864 (1.6609) Prec@1 52.500 (55.461) Prec@5 83.750 (84.185) Epoch: [74][9420/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.8026 (1.6608) Prec@1 50.625 (55.461) Prec@5 80.625 (84.186) Epoch: [74][9430/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.6642 (1.6608) Prec@1 58.125 (55.462) Prec@5 86.250 (84.187) Epoch: [74][9440/11272] Time 0.871 (0.787) Data 0.001 (0.002) Loss 1.6430 (1.6608) Prec@1 53.125 (55.463) Prec@5 85.625 (84.186) Epoch: [74][9450/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.8194 (1.6607) Prec@1 55.000 (55.464) Prec@5 80.625 (84.187) Epoch: [74][9460/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.5539 (1.6607) Prec@1 60.625 (55.463) Prec@5 84.375 (84.185) Epoch: [74][9470/11272] Time 0.876 (0.787) Data 0.001 (0.002) Loss 1.5753 (1.6608) Prec@1 58.125 (55.462) Prec@5 86.250 (84.185) Epoch: [74][9480/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.4321 (1.6608) Prec@1 56.250 (55.462) Prec@5 86.250 (84.185) Epoch: [74][9490/11272] Time 0.722 (0.787) Data 0.002 (0.002) Loss 1.7203 (1.6607) Prec@1 53.125 (55.464) Prec@5 84.375 (84.186) Epoch: [74][9500/11272] Time 0.755 (0.787) Data 0.002 (0.002) Loss 1.7007 (1.6606) Prec@1 53.750 (55.466) Prec@5 85.625 (84.187) Epoch: [74][9510/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.7647 (1.6608) Prec@1 53.750 (55.463) Prec@5 84.375 (84.186) Epoch: [74][9520/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.6676 (1.6608) Prec@1 55.000 (55.461) Prec@5 84.375 (84.185) Epoch: [74][9530/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 1.7761 (1.6607) Prec@1 53.750 (55.463) Prec@5 83.125 (84.186) Epoch: [74][9540/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 1.6764 (1.6608) Prec@1 55.625 (55.463) Prec@5 81.875 (84.185) Epoch: [74][9550/11272] Time 0.842 (0.787) Data 0.001 (0.002) Loss 1.5653 (1.6607) Prec@1 58.750 (55.464) Prec@5 85.625 (84.186) Epoch: [74][9560/11272] Time 0.840 (0.787) Data 0.001 (0.002) Loss 1.8088 (1.6607) Prec@1 54.375 (55.463) Prec@5 78.125 (84.185) Epoch: [74][9570/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.5445 (1.6608) Prec@1 58.125 (55.463) Prec@5 88.125 (84.184) Epoch: [74][9580/11272] Time 0.737 (0.787) Data 0.002 (0.002) Loss 1.6017 (1.6608) Prec@1 58.125 (55.463) Prec@5 83.750 (84.183) Epoch: [74][9590/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.7473 (1.6608) Prec@1 51.250 (55.462) Prec@5 85.000 (84.183) Epoch: [74][9600/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.6493 (1.6608) Prec@1 50.625 (55.463) Prec@5 87.500 (84.183) Epoch: [74][9610/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.5789 (1.6608) Prec@1 57.500 (55.463) Prec@5 86.250 (84.183) Epoch: [74][9620/11272] Time 0.820 (0.787) Data 0.002 (0.002) Loss 1.8390 (1.6609) Prec@1 51.250 (55.460) Prec@5 84.375 (84.181) Epoch: [74][9630/11272] Time 0.824 (0.787) Data 0.002 (0.002) Loss 1.8044 (1.6609) Prec@1 53.750 (55.460) Prec@5 80.000 (84.180) Epoch: [74][9640/11272] Time 0.728 (0.787) Data 0.002 (0.002) Loss 1.5536 (1.6609) Prec@1 54.375 (55.460) Prec@5 84.375 (84.181) Epoch: [74][9650/11272] Time 0.741 (0.787) Data 0.002 (0.002) Loss 1.7539 (1.6609) Prec@1 53.750 (55.459) Prec@5 81.250 (84.180) Epoch: [74][9660/11272] Time 0.860 (0.787) Data 0.002 (0.002) Loss 1.5206 (1.6609) Prec@1 55.000 (55.461) Prec@5 86.875 (84.181) Epoch: [74][9670/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.5904 (1.6609) Prec@1 57.500 (55.460) Prec@5 86.250 (84.180) Epoch: [74][9680/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.5155 (1.6609) Prec@1 62.500 (55.461) Prec@5 85.000 (84.181) Epoch: [74][9690/11272] Time 0.741 (0.787) Data 0.001 (0.002) Loss 1.6905 (1.6610) Prec@1 52.500 (55.460) Prec@5 83.750 (84.180) Epoch: [74][9700/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.5156 (1.6610) Prec@1 56.875 (55.459) Prec@5 85.625 (84.179) Epoch: [74][9710/11272] Time 0.827 (0.787) Data 0.002 (0.002) Loss 1.6836 (1.6610) Prec@1 56.250 (55.459) Prec@5 80.625 (84.179) Epoch: [74][9720/11272] Time 0.726 (0.787) Data 0.002 (0.002) Loss 1.7649 (1.6611) Prec@1 47.500 (55.456) Prec@5 85.625 (84.177) Epoch: [74][9730/11272] Time 0.809 (0.787) Data 0.002 (0.002) Loss 1.6827 (1.6611) Prec@1 55.000 (55.456) Prec@5 83.125 (84.176) Epoch: [74][9740/11272] Time 0.832 (0.787) Data 0.001 (0.002) Loss 1.6028 (1.6611) Prec@1 58.125 (55.456) Prec@5 85.625 (84.174) Epoch: [74][9750/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.8243 (1.6611) Prec@1 48.125 (55.456) Prec@5 81.250 (84.175) Epoch: [74][9760/11272] Time 0.763 (0.787) Data 0.002 (0.002) Loss 1.6883 (1.6611) Prec@1 57.500 (55.455) Prec@5 83.750 (84.175) Epoch: [74][9770/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.7534 (1.6612) Prec@1 52.500 (55.454) Prec@5 83.125 (84.176) Epoch: [74][9780/11272] Time 0.841 (0.787) Data 0.002 (0.002) Loss 1.7880 (1.6612) Prec@1 60.625 (55.455) Prec@5 80.625 (84.176) Epoch: [74][9790/11272] Time 0.727 (0.787) Data 0.001 (0.002) Loss 1.8214 (1.6612) Prec@1 51.875 (55.455) Prec@5 78.125 (84.174) Epoch: [74][9800/11272] Time 0.753 (0.787) Data 0.002 (0.002) Loss 1.8104 (1.6613) Prec@1 51.250 (55.453) Prec@5 81.875 (84.175) Epoch: [74][9810/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.3138 (1.6612) Prec@1 62.500 (55.455) Prec@5 89.375 (84.175) Epoch: [74][9820/11272] Time 0.830 (0.787) Data 0.002 (0.002) Loss 1.7446 (1.6612) Prec@1 53.750 (55.457) Prec@5 80.000 (84.175) Epoch: [74][9830/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.6454 (1.6611) Prec@1 56.250 (55.457) Prec@5 83.750 (84.176) Epoch: [74][9840/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.7702 (1.6611) Prec@1 56.250 (55.459) Prec@5 76.875 (84.176) Epoch: [74][9850/11272] Time 0.821 (0.787) Data 0.002 (0.002) Loss 1.5394 (1.6612) Prec@1 56.250 (55.456) Prec@5 87.500 (84.174) Epoch: [74][9860/11272] Time 0.729 (0.787) Data 0.003 (0.002) Loss 1.8814 (1.6613) Prec@1 51.250 (55.455) Prec@5 82.500 (84.174) Epoch: [74][9870/11272] Time 0.712 (0.787) Data 0.001 (0.002) Loss 1.6538 (1.6613) Prec@1 56.250 (55.453) Prec@5 81.875 (84.173) Epoch: [74][9880/11272] Time 0.841 (0.787) Data 0.001 (0.002) Loss 1.7390 (1.6614) Prec@1 51.250 (55.451) Prec@5 83.750 (84.173) Epoch: [74][9890/11272] Time 0.865 (0.787) Data 0.002 (0.002) Loss 1.7979 (1.6613) Prec@1 49.375 (55.453) Prec@5 85.000 (84.173) Epoch: [74][9900/11272] Time 0.713 (0.787) Data 0.002 (0.002) Loss 1.6318 (1.6614) Prec@1 59.375 (55.452) Prec@5 85.625 (84.172) Epoch: [74][9910/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 1.7683 (1.6615) Prec@1 53.125 (55.449) Prec@5 80.625 (84.170) Epoch: [74][9920/11272] Time 0.825 (0.787) Data 0.001 (0.002) Loss 1.8352 (1.6616) Prec@1 51.250 (55.447) Prec@5 79.375 (84.168) Epoch: [74][9930/11272] Time 0.818 (0.787) Data 0.001 (0.002) Loss 1.5514 (1.6616) Prec@1 56.250 (55.446) Prec@5 87.500 (84.167) Epoch: [74][9940/11272] Time 0.724 (0.787) Data 0.001 (0.002) Loss 1.5901 (1.6617) Prec@1 56.250 (55.446) Prec@5 86.250 (84.167) Epoch: [74][9950/11272] Time 0.711 (0.787) Data 0.001 (0.002) Loss 1.4698 (1.6616) Prec@1 58.125 (55.447) Prec@5 89.375 (84.167) Epoch: [74][9960/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.6703 (1.6616) Prec@1 56.875 (55.445) Prec@5 84.375 (84.168) Epoch: [74][9970/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.5430 (1.6616) Prec@1 59.375 (55.445) Prec@5 85.000 (84.168) Epoch: [74][9980/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.6685 (1.6617) Prec@1 53.125 (55.445) Prec@5 89.375 (84.167) Epoch: [74][9990/11272] Time 0.888 (0.787) Data 0.001 (0.002) Loss 1.4820 (1.6616) Prec@1 57.500 (55.446) Prec@5 88.750 (84.168) Epoch: [74][10000/11272] Time 0.820 (0.787) Data 0.001 (0.002) Loss 1.4243 (1.6615) Prec@1 61.875 (55.448) Prec@5 87.500 (84.169) Epoch: [74][10010/11272] Time 0.753 (0.787) Data 0.001 (0.002) Loss 1.6205 (1.6615) Prec@1 48.125 (55.447) Prec@5 88.125 (84.171) Epoch: [74][10020/11272] Time 0.746 (0.787) Data 0.002 (0.002) Loss 1.4880 (1.6615) Prec@1 62.500 (55.445) Prec@5 87.500 (84.170) Epoch: [74][10030/11272] Time 0.850 (0.787) Data 0.002 (0.002) Loss 1.6074 (1.6615) Prec@1 60.000 (55.446) Prec@5 83.750 (84.170) Epoch: [74][10040/11272] Time 0.873 (0.787) Data 0.002 (0.002) Loss 1.7219 (1.6616) Prec@1 55.000 (55.445) Prec@5 81.875 (84.169) Epoch: [74][10050/11272] Time 0.747 (0.787) Data 0.001 (0.002) Loss 1.7885 (1.6616) Prec@1 50.625 (55.444) Prec@5 83.125 (84.169) Epoch: [74][10060/11272] Time 0.776 (0.787) Data 0.001 (0.002) Loss 1.5488 (1.6616) Prec@1 63.125 (55.445) Prec@5 83.125 (84.170) Epoch: [74][10070/11272] Time 0.836 (0.787) Data 0.002 (0.002) Loss 1.7498 (1.6616) Prec@1 56.875 (55.447) Prec@5 79.375 (84.170) Epoch: [74][10080/11272] Time 0.821 (0.787) Data 0.001 (0.002) Loss 1.7926 (1.6616) Prec@1 51.250 (55.446) Prec@5 85.625 (84.171) Epoch: [74][10090/11272] Time 0.749 (0.787) Data 0.003 (0.002) Loss 1.6575 (1.6616) Prec@1 61.875 (55.447) Prec@5 83.125 (84.171) Epoch: [74][10100/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.5955 (1.6616) Prec@1 58.750 (55.449) Prec@5 86.250 (84.171) Epoch: [74][10110/11272] Time 0.835 (0.787) Data 0.002 (0.002) Loss 1.5843 (1.6615) Prec@1 56.875 (55.450) Prec@5 83.125 (84.172) Epoch: [74][10120/11272] Time 0.713 (0.787) Data 0.003 (0.002) Loss 1.6506 (1.6615) Prec@1 51.250 (55.450) Prec@5 85.625 (84.172) Epoch: [74][10130/11272] Time 0.792 (0.787) Data 0.002 (0.002) Loss 1.6405 (1.6616) Prec@1 55.625 (55.448) Prec@5 83.750 (84.171) Epoch: [74][10140/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.4415 (1.6616) Prec@1 61.250 (55.447) Prec@5 88.125 (84.172) Epoch: [74][10150/11272] Time 0.867 (0.787) Data 0.002 (0.002) Loss 1.8931 (1.6616) Prec@1 50.625 (55.448) Prec@5 81.250 (84.172) Epoch: [74][10160/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.7227 (1.6616) Prec@1 50.000 (55.446) Prec@5 83.750 (84.172) Epoch: [74][10170/11272] Time 0.729 (0.787) Data 0.001 (0.002) Loss 1.5814 (1.6616) Prec@1 56.250 (55.446) Prec@5 85.000 (84.172) Epoch: [74][10180/11272] Time 0.828 (0.787) Data 0.002 (0.002) Loss 1.7292 (1.6616) Prec@1 51.875 (55.445) Prec@5 86.250 (84.172) Epoch: [74][10190/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.6799 (1.6617) Prec@1 56.875 (55.444) Prec@5 83.125 (84.171) Epoch: [74][10200/11272] Time 0.762 (0.787) Data 0.002 (0.002) Loss 1.9439 (1.6616) Prec@1 51.875 (55.445) Prec@5 79.375 (84.172) Epoch: [74][10210/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.7555 (1.6617) Prec@1 56.250 (55.444) Prec@5 76.875 (84.172) Epoch: [74][10220/11272] Time 0.852 (0.787) Data 0.002 (0.002) Loss 1.6692 (1.6617) Prec@1 53.750 (55.442) Prec@5 83.125 (84.172) Epoch: [74][10230/11272] Time 0.885 (0.787) Data 0.002 (0.002) Loss 1.7178 (1.6617) Prec@1 45.625 (55.440) Prec@5 84.375 (84.172) Epoch: [74][10240/11272] Time 0.747 (0.787) Data 0.002 (0.002) Loss 1.6141 (1.6618) Prec@1 57.500 (55.439) Prec@5 84.375 (84.171) Epoch: [74][10250/11272] Time 0.865 (0.787) Data 0.001 (0.002) Loss 1.4724 (1.6618) Prec@1 61.250 (55.439) Prec@5 86.875 (84.171) Epoch: [74][10260/11272] Time 0.844 (0.787) Data 0.002 (0.002) Loss 1.9319 (1.6619) Prec@1 52.500 (55.436) Prec@5 79.375 (84.170) Epoch: [74][10270/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.7109 (1.6619) Prec@1 56.250 (55.436) Prec@5 83.750 (84.170) Epoch: [74][10280/11272] Time 0.747 (0.787) Data 0.002 (0.002) Loss 1.7206 (1.6619) Prec@1 54.375 (55.435) Prec@5 83.125 (84.172) Epoch: [74][10290/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.3208 (1.6618) Prec@1 66.250 (55.435) Prec@5 91.250 (84.173) Epoch: [74][10300/11272] Time 0.847 (0.787) Data 0.001 (0.002) Loss 1.6413 (1.6619) Prec@1 58.750 (55.434) Prec@5 85.000 (84.173) Epoch: [74][10310/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.5785 (1.6619) Prec@1 58.125 (55.434) Prec@5 85.625 (84.172) Epoch: [74][10320/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.5600 (1.6620) Prec@1 61.875 (55.432) Prec@5 83.125 (84.171) Epoch: [74][10330/11272] Time 0.816 (0.787) Data 0.002 (0.002) Loss 1.6807 (1.6620) Prec@1 50.625 (55.431) Prec@5 86.250 (84.171) Epoch: [74][10340/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.5038 (1.6620) Prec@1 57.500 (55.431) Prec@5 90.625 (84.172) Epoch: [74][10350/11272] Time 0.740 (0.787) Data 0.002 (0.002) Loss 1.8463 (1.6620) Prec@1 54.375 (55.429) Prec@5 85.625 (84.172) Epoch: [74][10360/11272] Time 0.711 (0.787) Data 0.002 (0.002) Loss 1.5189 (1.6621) Prec@1 57.500 (55.427) Prec@5 88.125 (84.170) Epoch: [74][10370/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.8812 (1.6622) Prec@1 51.250 (55.427) Prec@5 80.625 (84.170) Epoch: [74][10380/11272] Time 0.894 (0.787) Data 0.002 (0.002) Loss 1.5248 (1.6622) Prec@1 56.875 (55.426) Prec@5 88.750 (84.170) Epoch: [74][10390/11272] Time 0.756 (0.787) Data 0.002 (0.002) Loss 1.7487 (1.6623) Prec@1 53.750 (55.424) Prec@5 81.250 (84.168) Epoch: [74][10400/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 1.5279 (1.6623) Prec@1 60.625 (55.423) Prec@5 86.875 (84.169) Epoch: [74][10410/11272] Time 0.918 (0.787) Data 0.002 (0.002) Loss 1.9647 (1.6623) Prec@1 48.750 (55.420) Prec@5 81.250 (84.169) Epoch: [74][10420/11272] Time 0.744 (0.787) Data 0.001 (0.002) Loss 1.6716 (1.6624) Prec@1 57.500 (55.420) Prec@5 86.875 (84.168) Epoch: [74][10430/11272] Time 0.719 (0.787) Data 0.001 (0.002) Loss 1.7352 (1.6623) Prec@1 53.125 (55.419) Prec@5 82.500 (84.170) Epoch: [74][10440/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.7379 (1.6624) Prec@1 58.125 (55.418) Prec@5 84.375 (84.169) Epoch: [74][10450/11272] Time 0.857 (0.787) Data 0.002 (0.002) Loss 1.4825 (1.6624) Prec@1 59.375 (55.419) Prec@5 88.750 (84.169) Epoch: [74][10460/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.9679 (1.6624) Prec@1 45.625 (55.418) Prec@5 78.125 (84.168) Epoch: [74][10470/11272] Time 0.730 (0.787) Data 0.001 (0.002) Loss 1.6818 (1.6625) Prec@1 54.375 (55.415) Prec@5 86.875 (84.167) Epoch: [74][10480/11272] Time 0.842 (0.787) Data 0.002 (0.002) Loss 1.7638 (1.6625) Prec@1 51.875 (55.415) Prec@5 80.625 (84.166) Epoch: [74][10490/11272] Time 0.869 (0.787) Data 0.001 (0.002) Loss 1.8388 (1.6626) Prec@1 51.250 (55.411) Prec@5 78.750 (84.163) Epoch: [74][10500/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.7958 (1.6627) Prec@1 51.250 (55.411) Prec@5 79.375 (84.163) Epoch: [74][10510/11272] Time 0.744 (0.787) Data 0.002 (0.002) Loss 1.6761 (1.6627) Prec@1 51.250 (55.410) Prec@5 85.625 (84.162) Epoch: [74][10520/11272] Time 0.889 (0.787) Data 0.002 (0.002) Loss 1.4148 (1.6626) Prec@1 63.750 (55.412) Prec@5 88.125 (84.162) Epoch: [74][10530/11272] Time 0.743 (0.787) Data 0.001 (0.002) Loss 1.6522 (1.6626) Prec@1 55.000 (55.413) Prec@5 85.625 (84.162) Epoch: [74][10540/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.7752 (1.6625) Prec@1 52.500 (55.415) Prec@5 80.625 (84.162) Epoch: [74][10550/11272] Time 0.851 (0.787) Data 0.002 (0.002) Loss 1.5934 (1.6625) Prec@1 56.875 (55.414) Prec@5 86.875 (84.162) Epoch: [74][10560/11272] Time 0.819 (0.787) Data 0.002 (0.002) Loss 1.7567 (1.6626) Prec@1 48.125 (55.412) Prec@5 79.375 (84.161) Epoch: [74][10570/11272] Time 0.787 (0.787) Data 0.002 (0.002) Loss 1.5644 (1.6626) Prec@1 60.625 (55.412) Prec@5 86.250 (84.161) Epoch: [74][10580/11272] Time 0.722 (0.787) Data 0.002 (0.002) Loss 1.9924 (1.6627) Prec@1 47.500 (55.409) Prec@5 78.125 (84.159) Epoch: [74][10590/11272] Time 0.805 (0.787) Data 0.001 (0.002) Loss 1.5431 (1.6626) Prec@1 58.125 (55.409) Prec@5 87.500 (84.160) Epoch: [74][10600/11272] Time 0.814 (0.787) Data 0.002 (0.002) Loss 1.5843 (1.6627) Prec@1 56.875 (55.409) Prec@5 83.125 (84.159) Epoch: [74][10610/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.6822 (1.6627) Prec@1 51.250 (55.408) Prec@5 81.250 (84.159) Epoch: [74][10620/11272] Time 0.713 (0.787) Data 0.001 (0.002) Loss 1.8457 (1.6627) Prec@1 51.250 (55.410) Prec@5 81.250 (84.160) Epoch: [74][10630/11272] Time 0.826 (0.787) Data 0.002 (0.002) Loss 1.4615 (1.6626) Prec@1 61.875 (55.412) Prec@5 87.500 (84.160) Epoch: [74][10640/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 1.8187 (1.6626) Prec@1 51.250 (55.411) Prec@5 83.750 (84.160) Epoch: [74][10650/11272] Time 0.735 (0.787) Data 0.002 (0.002) Loss 1.5622 (1.6626) Prec@1 54.375 (55.411) Prec@5 85.000 (84.161) Epoch: [74][10660/11272] Time 0.809 (0.787) Data 0.002 (0.002) Loss 1.8937 (1.6626) Prec@1 53.125 (55.411) Prec@5 78.125 (84.161) Epoch: [74][10670/11272] Time 0.829 (0.787) Data 0.002 (0.002) Loss 1.8762 (1.6627) Prec@1 55.000 (55.409) Prec@5 76.875 (84.159) Epoch: [74][10680/11272] Time 0.736 (0.787) Data 0.002 (0.002) Loss 1.7903 (1.6627) Prec@1 58.125 (55.409) Prec@5 80.000 (84.160) Epoch: [74][10690/11272] Time 0.714 (0.787) Data 0.001 (0.002) Loss 1.8274 (1.6627) Prec@1 50.625 (55.410) Prec@5 81.875 (84.159) Epoch: [74][10700/11272] Time 0.835 (0.787) Data 0.001 (0.002) Loss 2.0944 (1.6628) Prec@1 46.250 (55.409) Prec@5 78.750 (84.158) Epoch: [74][10710/11272] Time 0.839 (0.787) Data 0.001 (0.002) Loss 1.7264 (1.6628) Prec@1 55.625 (55.408) Prec@5 84.375 (84.158) Epoch: [74][10720/11272] Time 0.728 (0.787) Data 0.001 (0.002) Loss 1.5221 (1.6628) Prec@1 58.125 (55.408) Prec@5 86.875 (84.158) Epoch: [74][10730/11272] Time 0.705 (0.787) Data 0.001 (0.002) Loss 1.4799 (1.6628) Prec@1 55.625 (55.410) Prec@5 86.250 (84.157) Epoch: [74][10740/11272] Time 0.877 (0.787) Data 0.002 (0.002) Loss 1.7883 (1.6629) Prec@1 46.250 (55.407) Prec@5 83.125 (84.157) Epoch: [74][10750/11272] Time 0.825 (0.787) Data 0.002 (0.002) Loss 1.6733 (1.6629) Prec@1 53.750 (55.406) Prec@5 80.625 (84.156) Epoch: [74][10760/11272] Time 0.727 (0.787) Data 0.002 (0.002) Loss 1.4552 (1.6628) Prec@1 60.625 (55.407) Prec@5 86.875 (84.157) Epoch: [74][10770/11272] Time 0.751 (0.787) Data 0.002 (0.002) Loss 1.7109 (1.6628) Prec@1 53.750 (55.408) Prec@5 80.000 (84.156) Epoch: [74][10780/11272] Time 0.831 (0.787) Data 0.002 (0.002) Loss 1.5484 (1.6628) Prec@1 55.000 (55.409) Prec@5 85.000 (84.157) Epoch: [74][10790/11272] Time 0.753 (0.787) Data 0.003 (0.002) Loss 1.3673 (1.6628) Prec@1 60.625 (55.410) Prec@5 89.375 (84.156) Epoch: [74][10800/11272] Time 0.742 (0.787) Data 0.001 (0.002) Loss 1.7663 (1.6628) Prec@1 57.500 (55.409) Prec@5 80.625 (84.154) Epoch: [74][10810/11272] Time 0.831 (0.787) Data 0.001 (0.002) Loss 1.6006 (1.6629) Prec@1 60.625 (55.410) Prec@5 85.000 (84.154) Epoch: [74][10820/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.8108 (1.6629) Prec@1 54.375 (55.410) Prec@5 81.875 (84.155) Epoch: [74][10830/11272] Time 0.725 (0.787) Data 0.001 (0.002) Loss 1.7821 (1.6629) Prec@1 51.250 (55.411) Prec@5 81.250 (84.156) Epoch: [74][10840/11272] Time 0.717 (0.787) Data 0.001 (0.002) Loss 1.5209 (1.6628) Prec@1 59.375 (55.410) Prec@5 83.750 (84.155) Epoch: [74][10850/11272] Time 0.848 (0.787) Data 0.002 (0.002) Loss 1.8364 (1.6629) Prec@1 53.750 (55.409) Prec@5 79.375 (84.154) Epoch: [74][10860/11272] Time 0.806 (0.787) Data 0.001 (0.002) Loss 1.5497 (1.6630) Prec@1 57.500 (55.408) Prec@5 86.875 (84.153) Epoch: [74][10870/11272] Time 0.735 (0.787) Data 0.001 (0.002) Loss 1.5697 (1.6629) Prec@1 59.375 (55.409) Prec@5 86.250 (84.155) Epoch: [74][10880/11272] Time 0.749 (0.787) Data 0.002 (0.002) Loss 1.7660 (1.6629) Prec@1 51.250 (55.408) Prec@5 78.750 (84.153) Epoch: [74][10890/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.7018 (1.6630) Prec@1 51.875 (55.408) Prec@5 87.500 (84.153) Epoch: [74][10900/11272] Time 0.868 (0.787) Data 0.001 (0.002) Loss 1.5616 (1.6630) Prec@1 57.500 (55.407) Prec@5 83.750 (84.153) Epoch: [74][10910/11272] Time 0.746 (0.787) Data 0.001 (0.002) Loss 1.5355 (1.6630) Prec@1 57.500 (55.407) Prec@5 87.500 (84.153) Epoch: [74][10920/11272] Time 0.834 (0.787) Data 0.001 (0.002) Loss 1.6887 (1.6630) Prec@1 55.000 (55.405) Prec@5 85.000 (84.151) Epoch: [74][10930/11272] Time 0.867 (0.787) Data 0.002 (0.002) Loss 1.5823 (1.6630) Prec@1 59.375 (55.405) Prec@5 83.125 (84.151) Epoch: [74][10940/11272] Time 0.734 (0.787) Data 0.001 (0.002) Loss 1.6470 (1.6631) Prec@1 54.375 (55.406) Prec@5 89.375 (84.151) Epoch: [74][10950/11272] Time 0.726 (0.787) Data 0.001 (0.002) Loss 1.6514 (1.6631) Prec@1 53.750 (55.406) Prec@5 82.500 (84.151) Epoch: [74][10960/11272] Time 0.822 (0.787) Data 0.002 (0.002) Loss 1.8832 (1.6631) Prec@1 53.125 (55.405) Prec@5 80.000 (84.150) Epoch: [74][10970/11272] Time 0.854 (0.787) Data 0.002 (0.002) Loss 1.7773 (1.6632) Prec@1 53.750 (55.406) Prec@5 82.500 (84.149) Epoch: [74][10980/11272] Time 0.734 (0.787) Data 0.002 (0.002) Loss 1.8934 (1.6632) Prec@1 46.875 (55.405) Prec@5 76.875 (84.147) Epoch: [74][10990/11272] Time 0.698 (0.787) Data 0.001 (0.002) Loss 1.6933 (1.6632) Prec@1 55.000 (55.404) Prec@5 84.375 (84.146) Epoch: [74][11000/11272] Time 0.840 (0.787) Data 0.002 (0.002) Loss 1.4935 (1.6633) Prec@1 60.625 (55.401) Prec@5 85.000 (84.146) Epoch: [74][11010/11272] Time 0.877 (0.787) Data 0.002 (0.002) Loss 1.5315 (1.6633) Prec@1 60.000 (55.400) Prec@5 85.000 (84.145) Epoch: [74][11020/11272] Time 0.759 (0.787) Data 0.002 (0.002) Loss 1.7742 (1.6634) Prec@1 51.875 (55.400) Prec@5 83.750 (84.145) Epoch: [74][11030/11272] Time 0.775 (0.787) Data 0.002 (0.002) Loss 1.7020 (1.6634) Prec@1 58.750 (55.400) Prec@5 85.000 (84.145) Epoch: [74][11040/11272] Time 0.845 (0.787) Data 0.002 (0.002) Loss 1.7336 (1.6634) Prec@1 51.875 (55.401) Prec@5 81.875 (84.145) Epoch: [74][11050/11272] Time 0.739 (0.787) Data 0.004 (0.002) Loss 1.5690 (1.6634) Prec@1 58.125 (55.400) Prec@5 86.250 (84.144) Epoch: [74][11060/11272] Time 0.721 (0.787) Data 0.001 (0.002) Loss 1.6924 (1.6635) Prec@1 53.750 (55.399) Prec@5 83.750 (84.144) Epoch: [74][11070/11272] Time 0.815 (0.787) Data 0.001 (0.002) Loss 1.9120 (1.6635) Prec@1 56.250 (55.401) Prec@5 79.375 (84.144) Epoch: [74][11080/11272] Time 0.815 (0.787) Data 0.001 (0.002) Loss 1.7125 (1.6635) Prec@1 51.875 (55.402) Prec@5 85.000 (84.143) Epoch: [74][11090/11272] Time 0.732 (0.787) Data 0.002 (0.002) Loss 1.5626 (1.6634) Prec@1 59.375 (55.404) Prec@5 83.750 (84.144) Epoch: [74][11100/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.8338 (1.6635) Prec@1 46.875 (55.401) Prec@5 80.000 (84.142) Epoch: [74][11110/11272] Time 0.838 (0.787) Data 0.002 (0.002) Loss 1.6590 (1.6635) Prec@1 51.250 (55.400) Prec@5 83.750 (84.142) Epoch: [74][11120/11272] Time 0.832 (0.787) Data 0.002 (0.002) Loss 1.4936 (1.6635) Prec@1 61.875 (55.401) Prec@5 88.125 (84.143) Epoch: [74][11130/11272] Time 0.710 (0.787) Data 0.001 (0.002) Loss 1.5397 (1.6635) Prec@1 58.750 (55.398) Prec@5 87.500 (84.143) Epoch: [74][11140/11272] Time 0.730 (0.787) Data 0.002 (0.002) Loss 1.7770 (1.6635) Prec@1 53.125 (55.400) Prec@5 84.375 (84.143) Epoch: [74][11150/11272] Time 0.816 (0.787) Data 0.001 (0.002) Loss 1.9507 (1.6635) Prec@1 50.000 (55.400) Prec@5 81.875 (84.143) Epoch: [74][11160/11272] Time 0.863 (0.787) Data 0.002 (0.002) Loss 1.7486 (1.6635) Prec@1 56.250 (55.400) Prec@5 81.875 (84.142) Epoch: [74][11170/11272] Time 0.777 (0.787) Data 0.001 (0.002) Loss 1.7039 (1.6636) Prec@1 58.125 (55.401) Prec@5 84.375 (84.141) Epoch: [74][11180/11272] Time 0.806 (0.787) Data 0.002 (0.002) Loss 1.5593 (1.6636) Prec@1 60.000 (55.401) Prec@5 84.375 (84.141) Epoch: [74][11190/11272] Time 0.843 (0.787) Data 0.002 (0.002) Loss 1.6307 (1.6636) Prec@1 55.000 (55.401) Prec@5 84.375 (84.141) Epoch: [74][11200/11272] Time 0.714 (0.787) Data 0.002 (0.002) Loss 1.5048 (1.6636) Prec@1 62.500 (55.400) Prec@5 86.875 (84.140) Epoch: [74][11210/11272] Time 0.745 (0.787) Data 0.002 (0.002) Loss 1.8559 (1.6637) Prec@1 50.000 (55.399) Prec@5 81.250 (84.139) Epoch: [74][11220/11272] Time 0.826 (0.787) Data 0.001 (0.002) Loss 1.5303 (1.6636) Prec@1 55.000 (55.399) Prec@5 88.125 (84.140) Epoch: [74][11230/11272] Time 0.880 (0.787) Data 0.001 (0.002) Loss 1.8061 (1.6636) Prec@1 53.750 (55.399) Prec@5 84.375 (84.140) Epoch: [74][11240/11272] Time 0.738 (0.787) Data 0.001 (0.002) Loss 1.6267 (1.6636) Prec@1 51.875 (55.397) Prec@5 84.375 (84.141) Epoch: [74][11250/11272] Time 0.757 (0.787) Data 0.001 (0.002) Loss 1.5426 (1.6636) Prec@1 56.875 (55.400) Prec@5 85.625 (84.141) Epoch: [74][11260/11272] Time 0.816 (0.787) Data 0.002 (0.002) Loss 1.6666 (1.6636) Prec@1 57.500 (55.400) Prec@5 86.875 (84.142) Epoch: [74][11270/11272] Time 0.807 (0.787) Data 0.000 (0.002) Loss 1.7544 (1.6637) Prec@1 56.250 (55.400) Prec@5 82.500 (84.141) Test: [0/229] Time 3.298 (3.298) Loss 1.1146 (1.1146) Prec@1 63.750 (63.750) Prec@5 95.000 (95.000) Test: [10/229] Time 0.383 (0.747) Loss 1.1129 (1.5575) Prec@1 63.125 (58.864) Prec@5 96.250 (87.841) Test: [20/229] Time 0.911 (0.660) Loss 1.7668 (1.6343) Prec@1 51.250 (55.774) Prec@5 85.625 (87.054) Test: [30/229] Time 0.424 (0.621) Loss 1.9260 (1.5815) Prec@1 48.125 (57.823) Prec@5 86.250 (87.480) Test: [40/229] Time 0.844 (0.603) Loss 0.3902 (1.5762) Prec@1 93.125 (57.774) Prec@5 95.625 (87.317) Test: [50/229] Time 0.407 (0.589) Loss 2.3143 (1.6273) Prec@1 31.875 (56.262) Prec@5 81.250 (86.054) Test: [60/229] Time 1.003 (0.588) Loss 2.0587 (1.6251) Prec@1 45.625 (56.475) Prec@5 82.500 (85.984) Test: [70/229] Time 0.337 (0.581) Loss 1.3607 (1.6408) Prec@1 69.375 (56.232) Prec@5 85.000 (85.775) Test: [80/229] Time 1.019 (0.581) Loss 2.0243 (1.6568) Prec@1 37.500 (55.340) Prec@5 86.250 (85.795) Test: [90/229] Time 0.339 (0.574) Loss 1.2132 (1.6597) Prec@1 71.250 (55.268) Prec@5 86.250 (85.865) Test: [100/229] Time 1.073 (0.574) Loss 2.0570 (1.6557) Prec@1 45.000 (55.489) Prec@5 83.125 (85.910) Test: [110/229] Time 0.371 (0.570) Loss 1.3826 (1.6355) Prec@1 61.875 (55.822) Prec@5 85.000 (86.120) Test: [120/229] Time 1.102 (0.571) Loss 2.6758 (1.6522) Prec@1 36.875 (55.336) Prec@5 78.125 (85.873) Test: [130/229] Time 0.355 (0.567) Loss 1.0887 (1.6350) Prec@1 65.625 (55.782) Prec@5 93.750 (86.011) Test: [140/229] Time 1.079 (0.568) Loss 1.7698 (1.6481) Prec@1 54.375 (55.457) Prec@5 85.000 (85.869) Test: [150/229] Time 0.385 (0.565) Loss 1.0356 (1.6629) Prec@1 76.250 (55.112) Prec@5 90.000 (85.733) Test: [160/229] Time 0.966 (0.566) Loss 1.6412 (1.6654) Prec@1 62.500 (54.950) Prec@5 85.625 (85.672) Test: [170/229] Time 0.387 (0.563) Loss 1.7053 (1.6770) Prec@1 52.500 (54.550) Prec@5 86.875 (85.530) Test: [180/229] Time 0.912 (0.566) Loss 2.3541 (1.6846) Prec@1 36.250 (54.568) Prec@5 73.125 (85.325) Test: [190/229] Time 0.409 (0.563) Loss 1.1610 (1.6746) Prec@1 68.125 (54.921) Prec@5 94.375 (85.422) Test: [200/229] Time 1.031 (0.565) Loss 1.5070 (1.6659) Prec@1 56.875 (55.016) Prec@5 87.500 (85.603) Test: [210/229] Time 0.294 (0.562) Loss 1.1588 (1.6553) Prec@1 64.375 (55.329) Prec@5 93.750 (85.741) Test: [220/229] Time 0.708 (0.564) Loss 1.5005 (1.6471) Prec@1 63.125 (55.673) Prec@5 88.750 (85.795) * Prec@1 55.979 Prec@5 85.848 Epoch: [75][0/11272] Time 4.519 (4.519) Data 3.588 (3.588) Loss 1.6828 (1.6828) Prec@1 58.125 (58.125) Prec@5 80.625 (80.625) Epoch: [75][10/11272] Time 0.711 (1.106) Data 0.002 (0.328) Loss 1.5555 (1.5924) Prec@1 61.250 (57.273) Prec@5 85.000 (85.284) Epoch: [75][20/11272] Time 0.706 (0.950) Data 0.001 (0.172) Loss 1.5854 (1.6425) Prec@1 55.000 (55.893) Prec@5 81.875 (84.464) Epoch: [75][30/11272] Time 0.785 (0.890) Data 0.001 (0.117) Loss 1.5549 (1.6551) Prec@1 64.375 (55.746) Prec@5 85.625 (84.194) Epoch: [75][40/11272] Time 0.824 (0.867) Data 0.001 (0.089) Loss 1.6217 (1.6516) Prec@1 59.375 (55.762) Prec@5 84.375 (84.223) Epoch: [75][50/11272] Time 0.726 (0.848) Data 0.001 (0.072) Loss 1.8581 (1.6461) Prec@1 56.250 (55.980) Prec@5 80.625 (84.387) Epoch: [75][60/11272] Time 0.730 (0.838) Data 0.001 (0.060) Loss 1.8228 (1.6553) Prec@1 48.750 (55.584) Prec@5 81.875 (84.109) Epoch: [75][70/11272] Time 0.816 (0.831) Data 0.002 (0.052) Loss 1.7976 (1.6559) Prec@1 51.250 (55.616) Prec@5 80.625 (84.014) Epoch: [75][80/11272] Time 0.851 (0.826) Data 0.002 (0.046) Loss 1.7363 (1.6635) Prec@1 50.625 (55.579) Prec@5 82.500 (83.920) Epoch: [75][90/11272] Time 0.707 (0.821) Data 0.001 (0.041) Loss 1.5188 (1.6580) Prec@1 62.500 (55.577) Prec@5 86.875 (84.018) Epoch: [75][100/11272] Time 0.713 (0.818) Data 0.002 (0.037) Loss 1.6681 (1.6598) Prec@1 55.625 (55.650) Prec@5 85.625 (84.035) Epoch: [75][110/11272] Time 0.874 (0.816) Data 0.003 (0.034) Loss 1.6812 (1.6547) Prec@1 55.625 (55.664) Prec@5 83.750 (84.082) Epoch: [75][120/11272] Time 0.743 (0.813) Data 0.003 (0.031) Loss 1.6243 (1.6500) Prec@1 58.125 (55.821) Prec@5 85.000 (84.137) Epoch: [75][130/11272] Time 0.744 (0.812) Data 0.002 (0.029) Loss 1.5965 (1.6545) Prec@1 54.375 (55.697) Prec@5 86.875 (84.084) Epoch: [75][140/11272] Time 0.854 (0.810) Data 0.002 (0.027) Loss 1.7723 (1.6530) Prec@1 49.375 (55.629) Prec@5 81.250 (84.060) Epoch: [75][150/11272] Time 0.823 (0.808) Data 0.002 (0.025) Loss 1.7309 (1.6559) Prec@1 60.625 (55.542) Prec@5 81.250 (84.044) Epoch: [75][160/11272] Time 0.714 (0.807) Data 0.001 (0.024) Loss 1.6597 (1.6546) Prec@1 58.125 (55.532) Prec@5 85.625 (84.127) Epoch: [75][170/11272] Time 0.743 (0.806) Data 0.002 (0.023) Loss 1.7916 (1.6542) Prec@1 49.375 (55.464) Prec@5 83.750 (84.123) Epoch: [75][180/11272] Time 0.867 (0.806) Data 0.002 (0.021) Loss 1.7354 (1.6504) Prec@1 53.125 (55.525) Prec@5 85.000 (84.220) Epoch: [75][190/11272] Time 0.847 (0.805) Data 0.002 (0.020) Loss 1.8235 (1.6502) Prec@1 51.250 (55.553) Prec@5 82.500 (84.244) Epoch: [75][200/11272] Time 0.801 (0.804) Data 0.002 (0.019) Loss 1.4572 (1.6474) Prec@1 63.750 (55.697) Prec@5 85.000 (84.251) Epoch: [75][210/11272] Time 0.751 (0.803) Data 0.002 (0.019) Loss 1.6861 (1.6490) Prec@1 57.500 (55.661) Prec@5 85.625 (84.259) Epoch: [75][220/11272] Time 0.823 (0.802) Data 0.001 (0.018) Loss 1.4194 (1.6476) Prec@1 65.625 (55.724) Prec@5 88.750 (84.299) Epoch: [75][230/11272] Time 0.817 (0.801) Data 0.001 (0.017) Loss 1.6705 (1.6456) Prec@1 56.250 (55.812) Prec@5 82.500 (84.313) Epoch: [75][240/11272] Time 0.726 (0.801) Data 0.001 (0.016) Loss 1.5429 (1.6469) Prec@1 58.750 (55.799) Prec@5 84.375 (84.263) Epoch: [75][250/11272] Time 0.864 (0.801) Data 0.002 (0.016) Loss 2.0027 (1.6487) Prec@1 44.375 (55.752) Prec@5 78.125 (84.208) Epoch: [75][260/11272] Time 0.823 (0.800) Data 0.001 (0.015) Loss 1.5795 (1.6491) Prec@1 56.250 (55.730) Prec@5 85.000 (84.200) Epoch: [75][270/11272] Time 0.759 (0.799) Data 0.002 (0.015) Loss 1.4891 (1.6475) Prec@1 57.500 (55.786) Prec@5 88.750 (84.248) Epoch: [75][280/11272] Time 0.714 (0.799) Data 0.001 (0.014) Loss 1.4984 (1.6436) Prec@1 56.875 (55.830) Prec@5 88.750 (84.315) Epoch: [75][290/11272] Time 0.841 (0.799) Data 0.001 (0.014) Loss 1.5764 (1.6444) Prec@1 56.250 (55.805) Prec@5 85.625 (84.317) Epoch: [75][300/11272] Time 0.865 (0.798) Data 0.002 (0.013) Loss 1.7543 (1.6455) Prec@1 50.625 (55.770) Prec@5 83.125 (84.304) Epoch: [75][310/11272] Time 0.713 (0.798) Data 0.001 (0.013) Loss 1.5379 (1.6440) Prec@1 56.250 (55.792) Prec@5 85.000 (84.351) Epoch: [75][320/11272] Time 0.731 (0.798) Data 0.001 (0.013) Loss 2.0019 (1.6467) Prec@1 51.875 (55.748) Prec@5 79.375 (84.295) Epoch: [75][330/11272] Time 0.834 (0.798) Data 0.002 (0.012) Loss 1.7476 (1.6460) Prec@1 53.750 (55.797) Prec@5 81.875 (84.301) Epoch: [75][340/11272] Time 0.818 (0.797) Data 0.002 (0.012) Loss 1.6860 (1.6470) Prec@1 56.875 (55.772) Prec@5 81.875 (84.291) Epoch: [75][350/11272] Time 0.766 (0.797) Data 0.002 (0.012) Loss 1.6172 (1.6468) Prec@1 55.625 (55.782) Prec@5 84.375 (84.293) Epoch: [75][360/11272] Time 0.745 (0.797) Data 0.002 (0.012) Loss 1.6536 (1.6451) Prec@1 51.250 (55.795) Prec@5 86.250 (84.328) Epoch: [75][370/11272] Time 0.845 (0.797) Data 0.002 (0.011) Loss 1.4272 (1.6437) Prec@1 63.750 (55.849) Prec@5 89.375 (84.346) Epoch: [75][380/11272] Time 0.709 (0.796) Data 0.003 (0.011) Loss 1.5853 (1.6433) Prec@1 55.625 (55.825) Prec@5 87.500 (84.373) Epoch: [75][390/11272] Time 0.742 (0.796) Data 0.002 (0.011) Loss 1.4777 (1.6437) Prec@1 61.250 (55.844) Prec@5 85.625 (84.357) Epoch: [75][400/11272] Time 0.840 (0.796) Data 0.002 (0.011) Loss 1.6827 (1.6439) Prec@1 55.625 (55.873) Prec@5 82.500 (84.345) Epoch: [75][410/11272] Time 0.855 (0.796) Data 0.002 (0.010) Loss 1.9136 (1.6445) Prec@1 51.250 (55.856) Prec@5 82.500 (84.334) Epoch: [75][420/11272] Time 0.721 (0.796) Data 0.002 (0.010) Loss 1.6440 (1.6431) Prec@1 56.875 (55.934) Prec@5 82.500 (84.341) Epoch: [75][430/11272] Time 0.717 (0.795) Data 0.001 (0.010) Loss 1.4552 (1.6418) Prec@1 64.375 (55.995) Prec@5 86.875 (84.360) Epoch: [75][440/11272] Time 0.829 (0.795) Data 0.002 (0.010) Loss 1.5909 (1.6430) Prec@1 63.750 (56.020) Prec@5 83.750 (84.321) Epoch: [75][450/11272] Time 0.832 (0.795) Data 0.002 (0.010) Loss 1.7303 (1.6440) Prec@1 55.000 (56.003) Prec@5 81.875 (84.304) Epoch: [75][460/11272] Time 0.686 (0.795) Data 0.001 (0.009) Loss 1.8218 (1.6443) Prec@1 51.250 (55.984) Prec@5 79.375 (84.299) Epoch: [75][470/11272] Time 0.718 (0.795) Data 0.002 (0.009) Loss 1.6704 (1.6449) Prec@1 54.375 (55.995) Prec@5 83.750 (84.268) Epoch: [75][480/11272] Time 0.847 (0.794) Data 0.002 (0.009) Loss 1.6246 (1.6443) Prec@1 58.125 (55.997) Prec@5 84.375 (84.280) Epoch: [75][490/11272] Time 0.824 (0.794) Data 0.002 (0.009) Loss 1.8198 (1.6457) Prec@1 49.375 (55.964) Prec@5 81.250 (84.268) Epoch: [75][500/11272] Time 0.759 (0.794) Data 0.001 (0.009) Loss 1.6338 (1.6446) Prec@1 57.500 (56.010) Prec@5 81.875 (84.290) Epoch: [75][510/11272] Time 0.872 (0.794) Data 0.002 (0.009) Loss 1.5511 (1.6432) Prec@1 58.750 (56.037) Prec@5 84.375 (84.313) Epoch: [75][520/11272] Time 0.845 (0.794) Data 0.002 (0.008) Loss 1.5504 (1.6418) Prec@1 60.000 (56.062) Prec@5 85.625 (84.345) Epoch: [75][530/11272] Time 0.719 (0.794) Data 0.002 (0.008) Loss 1.6172 (1.6421) Prec@1 53.750 (56.052) Prec@5 86.875 (84.348) Epoch: [75][540/11272] Time 0.743 (0.793) Data 0.002 (0.008) Loss 1.6543 (1.6423) Prec@1 54.375 (56.057) Prec@5 83.750 (84.333) Epoch: [75][550/11272] Time 0.821 (0.793) Data 0.001 (0.008) Loss 1.5787 (1.6425) Prec@1 60.625 (56.041) Prec@5 85.000 (84.339) Epoch: [75][560/11272] Time 0.826 (0.793) Data 0.002 (0.008) Loss 1.7047 (1.6428) Prec@1 56.250 (56.049) Prec@5 82.500 (84.328) Epoch: [75][570/11272] Time 0.762 (0.793) Data 0.002 (0.008) Loss 1.5232 (1.6419) Prec@1 55.000 (56.048) Prec@5 88.750 (84.349) Epoch: [75][580/11272] Time 0.762 (0.793) Data 0.001 (0.008) Loss 1.9020 (1.6432) Prec@1 52.500 (56.032) Prec@5 83.125 (84.335) Epoch: [75][590/11272] Time 0.880 (0.793) Data 0.002 (0.008) Loss 1.8091 (1.6440) Prec@1 57.500 (56.010) Prec@5 81.875 (84.320) Epoch: [75][600/11272] Time 0.827 (0.793) Data 0.002 (0.008) Loss 1.7366 (1.6437) Prec@1 53.750 (56.019) Prec@5 82.500 (84.327) Epoch: [75][610/11272] Time 0.744 (0.793) Data 0.002 (0.007) Loss 1.6108 (1.6430) Prec@1 55.625 (56.026) Prec@5 84.375 (84.345) Epoch: [75][620/11272] Time 0.720 (0.793) Data 0.001 (0.007) Loss 1.7893 (1.6429) Prec@1 57.500 (56.030) Prec@5 81.250 (84.331) Epoch: [75][630/11272] Time 0.813 (0.793) Data 0.001 (0.007) Loss 1.7098 (1.6430) Prec@1 51.875 (56.024) Prec@5 83.750 (84.333) Epoch: [75][640/11272] Time 0.815 (0.793) Data 0.002 (0.007) Loss 1.7634 (1.6425) Prec@1 56.250 (56.034) Prec@5 82.500 (84.345) Epoch: [75][650/11272] Time 0.711 (0.792) Data 0.001 (0.007) Loss 1.7791 (1.6437) Prec@1 51.250 (56.012) Prec@5 86.250 (84.328) Epoch: [75][660/11272] Time 0.782 (0.792) Data 0.002 (0.007) Loss 1.6634 (1.6444) Prec@1 55.000 (56.001) Prec@5 81.875 (84.311) Epoch: [75][670/11272] Time 0.819 (0.792) Data 0.002 (0.007) Loss 1.6271 (1.6439) Prec@1 54.375 (56.000) Prec@5 83.750 (84.325) Epoch: [75][680/11272] Time 0.723 (0.792) Data 0.002 (0.007) Loss 1.6912 (1.6442) Prec@1 51.875 (55.994) Prec@5 83.750 (84.314) Epoch: [75][690/11272] Time 0.731 (0.792) Data 0.002 (0.007) Loss 1.5345 (1.6453) Prec@1 58.125 (55.977) Prec@5 88.750 (84.294) Epoch: [75][700/11272] Time 0.818 (0.792) Data 0.002 (0.007) Loss 1.7463 (1.6453) Prec@1 53.750 (55.982) Prec@5 82.500 (84.284) Epoch: [75][710/11272] Time 0.852 (0.792) Data 0.002 (0.007) Loss 1.8021 (1.6466) Prec@1 56.250 (55.966) Prec@5 82.500 (84.262) Epoch: [75][720/11272] Time 0.729 (0.792) Data 0.001 (0.007) Loss 1.6756 (1.6459) Prec@1 50.000 (55.978) Prec@5 84.375 (84.279) Epoch: [75][730/11272] Time 0.729 (0.792) Data 0.002 (0.006) Loss 1.7082 (1.6458) Prec@1 55.000 (55.954) Prec@5 81.875 (84.287) Epoch: [75][740/11272] Time 0.862 (0.792) Data 0.002 (0.006) Loss 1.4220 (1.6452) Prec@1 59.375 (55.962) Prec@5 87.500 (84.294) Epoch: [75][750/11272] Time 0.831 (0.792) Data 0.002 (0.006) Loss 1.4082 (1.6450) Prec@1 65.000 (55.967) Prec@5 88.125 (84.308) Epoch: [75][760/11272] Time 0.725 (0.791) Data 0.001 (0.006) Loss 1.8218 (1.6462) Prec@1 55.000 (55.931) Prec@5 80.000 (84.291) Epoch: [75][770/11272] Time 0.740 (0.791) Data 0.002 (0.006) Loss 1.7049 (1.6457) Prec@1 58.125 (55.948) Prec@5 81.875 (84.289) Epoch: [75][780/11272] Time 0.830 (0.791) Data 0.002 (0.006) Loss 1.9059 (1.6464) Prec@1 50.625 (55.927) Prec@5 82.500 (84.285) Epoch: [75][790/11272] Time 0.710 (0.791) Data 0.001 (0.006) Loss 1.6203 (1.6461) Prec@1 58.125 (55.936) Prec@5 83.750 (84.286) Epoch: [75][800/11272] Time 0.734 (0.791) Data 0.001 (0.006) Loss 1.6230 (1.6459) Prec@1 55.000 (55.934) Prec@5 81.250 (84.288) Epoch: [75][810/11272] Time 0.844 (0.791) Data 0.002 (0.006) Loss 1.6017 (1.6463) Prec@1 55.625 (55.919) Prec@5 84.375 (84.278) Epoch: [75][820/11272] Time 0.837 (0.791) Data 0.002 (0.006) Loss 1.5875 (1.6460) Prec@1 57.500 (55.911) Prec@5 84.375 (84.283) Epoch: [75][830/11272] Time 0.722 (0.791) Data 0.002 (0.006) Loss 1.6712 (1.6457) Prec@1 56.250 (55.923) Prec@5 84.375 (84.292) Epoch: [75][840/11272] Time 0.732 (0.791) Data 0.002 (0.006) Loss 1.6382 (1.6462) Prec@1 47.500 (55.915) Prec@5 85.000 (84.282) Epoch: [75][850/11272] Time 0.841 (0.791) Data 0.002 (0.006) Loss 1.6082 (1.6462) Prec@1 57.500 (55.889) Prec@5 82.500 (84.294) Epoch: [75][860/11272] Time 0.817 (0.791) Data 0.002 (0.006) Loss 1.5505 (1.6465) Prec@1 56.875 (55.880) Prec@5 86.875 (84.297) Epoch: [75][870/11272] Time 0.743 (0.791) Data 0.001 (0.006) Loss 1.6822 (1.6461) Prec@1 51.875 (55.888) Prec@5 83.750 (84.306) Epoch: [75][880/11272] Time 0.741 (0.791) Data 0.002 (0.006) Loss 1.6929 (1.6461) Prec@1 58.750 (55.885) Prec@5 84.375 (84.306) Epoch: [75][890/11272] Time 0.856 (0.791) Data 0.002 (0.006) Loss 1.8241 (1.6472) Prec@1 52.500 (55.856) Prec@5 83.125 (84.296) Epoch: [75][900/11272] Time 0.853 (0.791) Data 0.002 (0.006) Loss 1.4257 (1.6468) Prec@1 57.500 (55.844) Prec@5 91.875 (84.315) Epoch: [75][910/11272] Time 0.719 (0.791) Data 0.001 (0.006) Loss 1.5266 (1.6466) Prec@1 60.000 (55.849) Prec@5 89.375 (84.312) Epoch: [75][920/11272] Time 0.829 (0.791) Data 0.002 (0.005) Loss 1.6146 (1.6453) Prec@1 56.875 (55.877) Prec@5 81.875 (84.333) Epoch: [75][930/11272] Time 0.846 (0.791) Data 0.002 (0.005) Loss 1.6590 (1.6464) Prec@1 56.250 (55.844) Prec@5 83.750 (84.315) Epoch: [75][940/11272] Time 0.718 (0.791) Data 0.001 (0.005) Loss 1.4839 (1.6463) Prec@1 61.250 (55.846) Prec@5 84.375 (84.313) Epoch: [75][950/11272] Time 0.737 (0.791) Data 0.001 (0.005) Loss 1.5510 (1.6469) Prec@1 57.500 (55.850) Prec@5 83.125 (84.300) Epoch: [75][960/11272] Time 0.826 (0.791) Data 0.003 (0.005) Loss 1.5231 (1.6466) Prec@1 58.750 (55.853) Prec@5 87.500 (84.306) Epoch: [75][970/11272] Time 0.831 (0.791) Data 0.002 (0.005) Loss 1.5129 (1.6460) Prec@1 58.750 (55.866) Prec@5 84.375 (84.314) Epoch: [75][980/11272] Time 0.723 (0.791) Data 0.002 (0.005) Loss 1.6505 (1.6464) Prec@1 55.625 (55.858) Prec@5 85.000 (84.314) Epoch: [75][990/11272] Time 0.698 (0.791) Data 0.001 (0.005) Loss 1.7864 (1.6460) Prec@1 53.750 (55.868) Prec@5 80.000 (84.313) Epoch: [75][1000/11272] Time 0.852 (0.791) Data 0.002 (0.005) Loss 1.4846 (1.6464) Prec@1 60.000 (55.862) Prec@5 84.375 (84.308) Epoch: [75][1010/11272] Time 0.837 (0.791) Data 0.002 (0.005) Loss 1.4612 (1.6458) Prec@1 57.500 (55.859) Prec@5 88.125 (84.313) Epoch: [75][1020/11272] Time 0.722 (0.791) Data 0.002 (0.005) Loss 1.6299 (1.6466) Prec@1 50.625 (55.834) Prec@5 84.375 (84.300) Epoch: [75][1030/11272] Time 0.706 (0.791) Data 0.001 (0.005) Loss 1.7437 (1.6464) Prec@1 52.500 (55.844) Prec@5 80.625 (84.308) Epoch: [75][1040/11272] Time 0.788 (0.791) Data 0.001 (0.005) Loss 1.7635 (1.6464) Prec@1 53.750 (55.854) Prec@5 82.500 (84.306) Epoch: [75][1050/11272] Time 0.705 (0.790) Data 0.003 (0.005) Loss 1.5144 (1.6464) Prec@1 58.750 (55.840) Prec@5 87.500 (84.315) Epoch: [75][1060/11272] Time 0.709 (0.790) Data 0.001 (0.005) Loss 1.9504 (1.6459) Prec@1 48.125 (55.836) Prec@5 75.625 (84.311) Epoch: [75][1070/11272] Time 0.862 (0.790) Data 0.002 (0.005) Loss 1.5447 (1.6464) Prec@1 57.500 (55.837) Prec@5 86.250 (84.310) Epoch: [75][1080/11272] Time 0.879 (0.790) Data 0.002 (0.005) Loss 1.7761 (1.6469) Prec@1 50.000 (55.829) Prec@5 80.000 (84.296) Epoch: [75][1090/11272] Time 0.721 (0.790) Data 0.001 (0.005) Loss 1.5900 (1.6468) Prec@1 56.875 (55.831) Prec@5 85.625 (84.305) Epoch: [75][1100/11272] Time 0.719 (0.790) Data 0.001 (0.005) Loss 1.4431 (1.6467) Prec@1 61.250 (55.841) Prec@5 89.375 (84.312) Epoch: [75][1110/11272] Time 0.843 (0.790) Data 0.002 (0.005) Loss 1.7365 (1.6465) Prec@1 53.125 (55.843) Prec@5 80.625 (84.313) Epoch: [75][1120/11272] Time 0.837 (0.790) Data 0.002 (0.005) Loss 1.5297 (1.6468) Prec@1 60.000 (55.844) Prec@5 86.875 (84.307) Epoch: [75][1130/11272] Time 0.776 (0.790) Data 0.001 (0.005) Loss 1.8289 (1.6466) Prec@1 48.750 (55.839) Prec@5 83.125 (84.315) Epoch: [75][1140/11272] Time 0.720 (0.790) Data 0.001 (0.005) Loss 1.4639 (1.6462) Prec@1 63.750 (55.860) Prec@5 85.625 (84.315) Epoch: [75][1150/11272] Time 0.797 (0.790) Data 0.001 (0.005) Loss 1.6650 (1.6463) Prec@1 55.625 (55.855) Prec@5 82.500 (84.315) Epoch: [75][1160/11272] Time 0.816 (0.790) Data 0.001 (0.005) Loss 1.6286 (1.6465) Prec@1 55.000 (55.848) Prec@5 83.125 (84.307) Epoch: [75][1170/11272] Time 0.725 (0.790) Data 0.002 (0.005) Loss 1.6168 (1.6461) Prec@1 57.500 (55.858) Prec@5 83.750 (84.309) Epoch: [75][1180/11272] Time 0.788 (0.790) Data 0.001 (0.005) Loss 1.6810 (1.6456) Prec@1 55.000 (55.870) Prec@5 85.000 (84.319) Epoch: [75][1190/11272] Time 0.840 (0.790) Data 0.002 (0.005) Loss 1.7669 (1.6454) Prec@1 51.875 (55.862) Prec@5 83.750 (84.326) Epoch: [75][1200/11272] Time 0.741 (0.790) Data 0.001 (0.005) Loss 1.5835 (1.6452) Prec@1 53.125 (55.868) Prec@5 81.250 (84.326) Epoch: [75][1210/11272] Time 0.712 (0.790) Data 0.001 (0.005) Loss 1.6559 (1.6449) Prec@1 48.750 (55.874) Prec@5 86.875 (84.334) Epoch: [75][1220/11272] Time 0.830 (0.790) Data 0.002 (0.005) Loss 1.6235 (1.6441) Prec@1 57.500 (55.888) Prec@5 80.625 (84.349) Epoch: [75][1230/11272] Time 0.836 (0.790) Data 0.002 (0.005) Loss 1.6560 (1.6441) Prec@1 52.500 (55.880) Prec@5 86.250 (84.357) Epoch: [75][1240/11272] Time 0.786 (0.790) Data 0.002 (0.004) Loss 1.8332 (1.6440) Prec@1 53.750 (55.880) Prec@5 83.125 (84.363) Epoch: [75][1250/11272] Time 0.722 (0.790) Data 0.001 (0.004) Loss 1.6253 (1.6442) Prec@1 53.125 (55.875) Prec@5 86.250 (84.364) Epoch: [75][1260/11272] Time 0.839 (0.790) Data 0.002 (0.004) Loss 1.8145 (1.6448) Prec@1 48.750 (55.862) Prec@5 80.000 (84.349) Epoch: [75][1270/11272] Time 0.850 (0.790) Data 0.001 (0.004) Loss 1.6563 (1.6446) Prec@1 54.375 (55.863) Prec@5 85.625 (84.348) Epoch: [75][1280/11272] Time 0.723 (0.790) Data 0.001 (0.004) Loss 1.6261 (1.6452) Prec@1 56.250 (55.844) Prec@5 85.000 (84.343) Epoch: [75][1290/11272] Time 0.746 (0.790) Data 0.002 (0.004) Loss 1.7161 (1.6454) Prec@1 55.000 (55.841) Prec@5 85.000 (84.346) Epoch: [75][1300/11272] Time 0.892 (0.790) Data 0.002 (0.004) Loss 1.5169 (1.6449) Prec@1 61.250 (55.858) Prec@5 86.250 (84.365) Epoch: [75][1310/11272] Time 0.716 (0.790) Data 0.003 (0.004) Loss 1.4738 (1.6448) Prec@1 61.875 (55.862) Prec@5 86.875 (84.371) Epoch: [75][1320/11272] Time 0.716 (0.790) Data 0.001 (0.004) Loss 1.4909 (1.6446) Prec@1 60.625 (55.876) Prec@5 87.500 (84.376) Epoch: [75][1330/11272] Time 0.822 (0.790) Data 0.002 (0.004) Loss 1.4972 (1.6449) Prec@1 55.000 (55.869) Prec@5 86.875 (84.371) Epoch: [75][1340/11272] Time 0.841 (0.790) Data 0.002 (0.004) Loss 1.7074 (1.6446) Prec@1 57.500 (55.882) Prec@5 83.750 (84.380) Epoch: [75][1350/11272] Time 0.758 (0.790) Data 0.002 (0.004) Loss 1.5456 (1.6449) Prec@1 59.375 (55.879) Prec@5 86.875 (84.374) Epoch: [75][1360/11272] Time 0.746 (0.790) Data 0.002 (0.004) Loss 1.6630 (1.6448) Prec@1 51.250 (55.877) Prec@5 84.375 (84.375) Epoch: [75][1370/11272] Time 0.855 (0.790) Data 0.002 (0.004) Loss 1.8243 (1.6454) Prec@1 56.250 (55.874) Prec@5 80.625 (84.367) Epoch: [75][1380/11272] Time 0.821 (0.790) Data 0.002 (0.004) Loss 1.6234 (1.6455) Prec@1 56.250 (55.864) Prec@5 83.125 (84.367) Epoch: [75][1390/11272] Time 0.772 (0.790) Data 0.001 (0.004) Loss 1.6521 (1.6460) Prec@1 55.625 (55.845) Prec@5 82.500 (84.363) Epoch: [75][1400/11272] Time 0.714 (0.790) Data 0.001 (0.004) Loss 1.6779 (1.6462) Prec@1 58.125 (55.834) Prec@5 84.375 (84.362) Epoch: [75][1410/11272] Time 0.856 (0.790) Data 0.002 (0.004) Loss 1.5595 (1.6457) Prec@1 53.125 (55.846) Prec@5 85.625 (84.367) Epoch: [75][1420/11272] Time 0.829 (0.789) Data 0.002 (0.004) Loss 1.7595 (1.6457) Prec@1 51.250 (55.843) Prec@5 79.375 (84.365) Epoch: [75][1430/11272] Time 0.714 (0.789) Data 0.001 (0.004) Loss 1.4789 (1.6458) Prec@1 65.625 (55.847) Prec@5 87.500 (84.362) Epoch: [75][1440/11272] Time 0.861 (0.789) Data 0.002 (0.004) Loss 1.5826 (1.6464) Prec@1 60.625 (55.827) Prec@5 83.125 (84.350) Epoch: [75][1450/11272] Time 0.884 (0.790) Data 0.002 (0.004) Loss 1.5404 (1.6461) Prec@1 58.125 (55.835) Prec@5 84.375 (84.359) Epoch: [75][1460/11272] Time 0.749 (0.789) Data 0.001 (0.004) Loss 1.4052 (1.6462) Prec@1 64.375 (55.835) Prec@5 84.375 (84.356) Epoch: [75][1470/11272] Time 0.748 (0.790) Data 0.002 (0.004) Loss 1.6871 (1.6465) Prec@1 52.500 (55.818) Prec@5 84.375 (84.356) Epoch: [75][1480/11272] Time 0.874 (0.790) Data 0.001 (0.004) Loss 1.7504 (1.6460) Prec@1 53.750 (55.834) Prec@5 80.625 (84.359) Epoch: [75][1490/11272] Time 0.896 (0.790) Data 0.003 (0.004) Loss 1.4612 (1.6458) Prec@1 60.000 (55.843) Prec@5 90.000 (84.362) Epoch: [75][1500/11272] Time 0.738 (0.789) Data 0.002 (0.004) Loss 1.8397 (1.6457) Prec@1 46.250 (55.842) Prec@5 81.875 (84.363) Epoch: [75][1510/11272] Time 0.724 (0.789) Data 0.001 (0.004) Loss 1.5140 (1.6456) Prec@1 61.875 (55.842) Prec@5 88.125 (84.364) Epoch: [75][1520/11272] Time 0.866 (0.789) Data 0.002 (0.004) Loss 1.5281 (1.6453) Prec@1 56.875 (55.847) Prec@5 87.500 (84.370) Epoch: [75][1530/11272] Time 0.858 (0.789) Data 0.002 (0.004) Loss 1.6955 (1.6452) Prec@1 55.000 (55.859) Prec@5 84.375 (84.367) Epoch: [75][1540/11272] Time 0.728 (0.789) Data 0.001 (0.004) Loss 1.5680 (1.6450) Prec@1 55.625 (55.867) Prec@5 86.250 (84.374) Epoch: [75][1550/11272] Time 0.735 (0.789) Data 0.002 (0.004) Loss 1.7137 (1.6451) Prec@1 54.375 (55.869) Prec@5 81.250 (84.370) Epoch: [75][1560/11272] Time 0.853 (0.789) Data 0.002 (0.004) Loss 1.6230 (1.6452) Prec@1 55.625 (55.865) Prec@5 85.625 (84.369) Epoch: [75][1570/11272] Time 0.846 (0.789) Data 0.002 (0.004) Loss 1.8550 (1.6456) Prec@1 50.000 (55.857) Prec@5 80.000 (84.363) Epoch: [75][1580/11272] Time 0.739 (0.789) Data 0.002 (0.004) Loss 1.7491 (1.6454) Prec@1 54.375 (55.859) Prec@5 83.125 (84.365) Epoch: [75][1590/11272] Time 0.827 (0.789) Data 0.001 (0.004) Loss 1.5305 (1.6453) Prec@1 60.000 (55.861) Prec@5 86.250 (84.366) Epoch: [75][1600/11272] Time 0.839 (0.789) Data 0.002 (0.004) Loss 1.4891 (1.6453) Prec@1 60.625 (55.866) Prec@5 88.750 (84.361) Epoch: [75][1610/11272] Time 0.691 (0.789) Data 0.001 (0.004) Loss 1.5481 (1.6447) Prec@1 58.125 (55.876) Prec@5 83.125 (84.370) Epoch: [75][1620/11272] Time 0.737 (0.789) Data 0.001 (0.004) Loss 1.4339 (1.6445) Prec@1 61.875 (55.878) Prec@5 88.125 (84.378) Epoch: [75][1630/11272] Time 0.860 (0.789) Data 0.001 (0.004) Loss 1.8652 (1.6448) Prec@1 46.875 (55.881) Prec@5 82.500 (84.373) Epoch: [75][1640/11272] Time 0.818 (0.789) Data 0.001 (0.004) Loss 1.6829 (1.6446) Prec@1 52.500 (55.885) Prec@5 83.750 (84.377) Epoch: [75][1650/11272] Time 0.723 (0.789) Data 0.001 (0.004) Loss 1.4473 (1.6442) Prec@1 60.000 (55.897) Prec@5 89.375 (84.387) Epoch: [75][1660/11272] Time 0.752 (0.789) Data 0.002 (0.004) Loss 1.5282 (1.6443) Prec@1 58.125 (55.891) Prec@5 84.375 (84.387) Epoch: [75][1670/11272] Time 0.851 (0.789) Data 0.001 (0.004) Loss 1.6995 (1.6440) Prec@1 55.625 (55.898) Prec@5 81.875 (84.392) Epoch: [75][1680/11272] Time 0.814 (0.789) Data 0.001 (0.004) Loss 1.3974 (1.6439) Prec@1 55.000 (55.898) Prec@5 91.250 (84.393) Epoch: [75][1690/11272] Time 0.732 (0.789) Data 0.001 (0.004) Loss 1.6407 (1.6437) Prec@1 55.000 (55.906) Prec@5 84.375 (84.393) Epoch: [75][1700/11272] Time 0.732 (0.789) Data 0.002 (0.004) Loss 1.3733 (1.6435) Prec@1 60.000 (55.910) Prec@5 85.625 (84.390) Epoch: [75][1710/11272] Time 0.786 (0.789) Data 0.001 (0.004) Loss 1.6109 (1.6431) Prec@1 56.875 (55.925) Prec@5 82.500 (84.394) Epoch: [75][1720/11272] Time 0.750 (0.789) Data 0.001 (0.004) Loss 1.5337 (1.6431) Prec@1 56.875 (55.918) Prec@5 85.625 (84.399) Epoch: [75][1730/11272] Time 0.757 (0.789) Data 0.002 (0.004) Loss 1.6318 (1.6432) Prec@1 53.750 (55.914) Prec@5 85.625 (84.401) Epoch: [75][1740/11272] Time 0.865 (0.789) Data 0.002 (0.004) Loss 1.7385 (1.6432) Prec@1 60.000 (55.908) Prec@5 81.250 (84.401) Epoch: [75][1750/11272] Time 0.846 (0.789) Data 0.002 (0.004) Loss 1.4475 (1.6431) Prec@1 59.375 (55.906) Prec@5 89.375 (84.400) Epoch: [75][1760/11272] Time 0.746 (0.789) Data 0.002 (0.004) Loss 1.7747 (1.6435) Prec@1 52.500 (55.905) Prec@5 81.250 (84.391) Epoch: [75][1770/11272] Time 0.710 (0.789) Data 0.001 (0.004) Loss 1.8090 (1.6439) Prec@1 53.125 (55.896) Prec@5 81.875 (84.387) Epoch: [75][1780/11272] Time 0.829 (0.789) Data 0.001 (0.004) Loss 1.8770 (1.6440) Prec@1 53.125 (55.894) Prec@5 80.000 (84.387) Epoch: [75][1790/11272] Time 0.814 (0.789) Data 0.002 (0.004) Loss 1.7033 (1.6439) Prec@1 51.875 (55.896) Prec@5 84.375 (84.380) Epoch: [75][1800/11272] Time 0.742 (0.789) Data 0.002 (0.004) Loss 1.5163 (1.6443) Prec@1 53.125 (55.885) Prec@5 90.625 (84.378) Epoch: [75][1810/11272] Time 0.732 (0.789) Data 0.002 (0.004) Loss 1.5693 (1.6440) Prec@1 52.500 (55.889) Prec@5 85.625 (84.383) Epoch: [75][1820/11272] Time 0.843 (0.789) Data 0.002 (0.004) Loss 1.4560 (1.6436) Prec@1 60.625 (55.906) Prec@5 84.375 (84.387) Epoch: [75][1830/11272] Time 0.814 (0.789) Data 0.002 (0.004) Loss 1.6481 (1.6434) Prec@1 56.875 (55.917) Prec@5 84.375 (84.390) Epoch: [75][1840/11272] Time 0.745 (0.789) Data 0.002 (0.004) Loss 1.7612 (1.6438) Prec@1 53.750 (55.908) Prec@5 83.125 (84.384) Epoch: [75][1850/11272] Time 0.879 (0.789) Data 0.002 (0.004) Loss 1.5852 (1.6438) Prec@1 58.750 (55.906) Prec@5 85.625 (84.384) Epoch: [75][1860/11272] Time 0.833 (0.789) Data 0.002 (0.004) Loss 1.3406 (1.6432) Prec@1 66.875 (55.918) Prec@5 90.000 (84.393) Epoch: [75][1870/11272] Time 0.713 (0.789) Data 0.001 (0.004) Loss 1.6743 (1.6432) Prec@1 55.625 (55.919) Prec@5 82.500 (84.393) Epoch: [75][1880/11272] Time 0.733 (0.789) Data 0.002 (0.003) Loss 1.6071 (1.6431) Prec@1 59.375 (55.923) Prec@5 86.875 (84.405) Epoch: [75][1890/11272] Time 0.851 (0.789) Data 0.002 (0.003) Loss 1.7234 (1.6431) Prec@1 50.625 (55.916) Prec@5 81.250 (84.405) Epoch: [75][1900/11272] Time 0.844 (0.789) Data 0.001 (0.003) Loss 1.8155 (1.6435) Prec@1 52.500 (55.909) Prec@5 81.250 (84.406) Epoch: [75][1910/11272] Time 0.712 (0.789) Data 0.001 (0.003) Loss 1.7783 (1.6437) Prec@1 54.375 (55.906) Prec@5 80.000 (84.401) Epoch: [75][1920/11272] Time 0.735 (0.789) Data 0.002 (0.003) Loss 1.6383 (1.6437) Prec@1 50.000 (55.905) Prec@5 86.875 (84.404) Epoch: [75][1930/11272] Time 0.813 (0.789) Data 0.001 (0.003) Loss 1.6928 (1.6437) Prec@1 56.250 (55.909) Prec@5 80.625 (84.398) Epoch: [75][1940/11272] Time 0.847 (0.789) Data 0.002 (0.003) Loss 1.6993 (1.6436) Prec@1 58.750 (55.911) Prec@5 84.375 (84.402) Epoch: [75][1950/11272] Time 0.724 (0.789) Data 0.001 (0.003) Loss 1.6077 (1.6434) Prec@1 60.000 (55.914) Prec@5 82.500 (84.409) Epoch: [75][1960/11272] Time 0.709 (0.789) Data 0.001 (0.003) Loss 1.8141 (1.6434) Prec@1 48.750 (55.909) Prec@5 81.875 (84.411) Epoch: [75][1970/11272] Time 0.839 (0.789) Data 0.002 (0.003) Loss 1.3567 (1.6432) Prec@1 61.250 (55.910) Prec@5 89.375 (84.411) Epoch: [75][1980/11272] Time 0.775 (0.789) Data 0.003 (0.003) Loss 1.6070 (1.6431) Prec@1 55.000 (55.912) Prec@5 85.000 (84.408) Epoch: [75][1990/11272] Time 0.720 (0.789) Data 0.001 (0.003) Loss 1.8394 (1.6432) Prec@1 53.750 (55.913) Prec@5 80.000 (84.407) Epoch: [75][2000/11272] Time 0.828 (0.789) Data 0.001 (0.003) Loss 1.7284 (1.6429) Prec@1 53.750 (55.918) Prec@5 82.500 (84.412) Epoch: [75][2010/11272] Time 0.825 (0.789) Data 0.002 (0.003) Loss 1.6094 (1.6427) Prec@1 56.875 (55.923) Prec@5 86.250 (84.417) Epoch: [75][2020/11272] Time 0.696 (0.789) Data 0.000 (0.003) Loss 1.6204 (1.6427) Prec@1 55.625 (55.923) Prec@5 86.250 (84.418) Epoch: [75][2030/11272] Time 0.744 (0.789) Data 0.002 (0.003) Loss 1.4458 (1.6423) Prec@1 61.250 (55.932) Prec@5 85.000 (84.421) Epoch: [75][2040/11272] Time 0.840 (0.789) Data 0.002 (0.003) Loss 1.3868 (1.6424) Prec@1 63.750 (55.936) Prec@5 88.125 (84.420) Epoch: [75][2050/11272] Time 0.850 (0.789) Data 0.002 (0.003) Loss 1.6457 (1.6426) Prec@1 55.000 (55.932) Prec@5 85.625 (84.414) Epoch: [75][2060/11272] Time 0.734 (0.789) Data 0.002 (0.003) Loss 1.7805 (1.6429) Prec@1 58.125 (55.924) Prec@5 82.500 (84.413) Epoch: [75][2070/11272] Time 0.724 (0.789) Data 0.001 (0.003) Loss 1.6162 (1.6425) Prec@1 56.875 (55.931) Prec@5 85.625 (84.418) Epoch: [75][2080/11272] Time 0.861 (0.789) Data 0.002 (0.003) Loss 1.5220 (1.6429) Prec@1 58.125 (55.925) Prec@5 86.250 (84.409) Epoch: [75][2090/11272] Time 0.859 (0.789) Data 0.002 (0.003) Loss 1.9502 (1.6429) Prec@1 46.875 (55.922) Prec@5 75.625 (84.406) Epoch: [75][2100/11272] Time 0.740 (0.789) Data 0.001 (0.003) Loss 1.5424 (1.6427) Prec@1 57.500 (55.930) Prec@5 88.125 (84.415) Epoch: [75][2110/11272] Time 0.811 (0.789) Data 0.001 (0.003) Loss 1.3933 (1.6427) Prec@1 63.750 (55.931) Prec@5 86.875 (84.413) Epoch: [75][2120/11272] Time 0.843 (0.789) Data 0.002 (0.003) Loss 1.6973 (1.6428) Prec@1 55.625 (55.929) Prec@5 84.375 (84.412) Epoch: [75][2130/11272] Time 0.721 (0.789) Data 0.001 (0.003) Loss 1.6487 (1.6430) Prec@1 53.125 (55.923) Prec@5 84.375 (84.411) Epoch: [75][2140/11272] Time 0.779 (0.789) Data 0.002 (0.003) Loss 1.7015 (1.6432) Prec@1 51.875 (55.919) Prec@5 81.250 (84.405) Epoch: [75][2150/11272] Time 0.823 (0.789) Data 0.002 (0.003) Loss 1.6666 (1.6430) Prec@1 58.125 (55.926) Prec@5 86.250 (84.409) Epoch: [75][2160/11272] Time 0.831 (0.789) Data 0.002 (0.003) Loss 1.6178 (1.6431) Prec@1 56.250 (55.925) Prec@5 86.250 (84.409) Epoch: [75][2170/11272] Time 0.741 (0.789) Data 0.002 (0.003) Loss 1.7879 (1.6433) Prec@1 46.875 (55.920) Prec@5 83.125 (84.403) Epoch: [75][2180/11272] Time 0.741 (0.789) Data 0.002 (0.003) Loss 1.5517 (1.6431) Prec@1 60.000 (55.923) Prec@5 83.750 (84.407) Epoch: [75][2190/11272] Time 0.886 (0.789) Data 0.001 (0.003) Loss 1.5867 (1.6434) Prec@1 58.125 (55.924) Prec@5 84.375 (84.406) Epoch: [75][2200/11272] Time 0.890 (0.789) Data 0.002 (0.003) Loss 1.4657 (1.6433) Prec@1 63.125 (55.932) Prec@5 85.625 (84.406) Epoch: [75][2210/11272] Time 0.734 (0.789) Data 0.002 (0.003) Loss 1.6702 (1.6436) Prec@1 52.500 (55.920) Prec@5 84.375 (84.405) Epoch: [75][2220/11272] Time 0.797 (0.789) Data 0.002 (0.003) Loss 1.5404 (1.6437) Prec@1 59.375 (55.917) Prec@5 85.000 (84.407) Epoch: [75][2230/11272] Time 0.827 (0.789) Data 0.002 (0.003) Loss 1.8078 (1.6438) Prec@1 50.000 (55.913) Prec@5 81.875 (84.406) Epoch: [75][2240/11272] Time 0.749 (0.788) Data 0.003 (0.003) Loss 1.3831 (1.6437) Prec@1 63.750 (55.917) Prec@5 90.625 (84.411) Epoch: [75][2250/11272] Time 0.757 (0.788) Data 0.002 (0.003) Loss 1.9046 (1.6439) Prec@1 48.750 (55.908) Prec@5 79.375 (84.408) Epoch: [75][2260/11272] Time 0.826 (0.788) Data 0.001 (0.003) Loss 1.8295 (1.6442) Prec@1 50.625 (55.898) Prec@5 81.250 (84.403) Epoch: [75][2270/11272] Time 0.882 (0.789) Data 0.002 (0.003) Loss 1.7441 (1.6442) Prec@1 52.500 (55.901) Prec@5 83.125 (84.404) Epoch: [75][2280/11272] Time 0.746 (0.789) Data 0.002 (0.003) Loss 1.4804 (1.6439) Prec@1 58.125 (55.909) Prec@5 87.500 (84.408) Epoch: [75][2290/11272] Time 0.728 (0.788) Data 0.001 (0.003) Loss 1.6793 (1.6439) Prec@1 54.375 (55.908) Prec@5 83.750 (84.407) Epoch: [75][2300/11272] Time 0.824 (0.788) Data 0.001 (0.003) Loss 1.6504 (1.6436) Prec@1 59.375 (55.912) Prec@5 85.625 (84.412) Epoch: [75][2310/11272] Time 0.841 (0.788) Data 0.001 (0.003) Loss 1.5925 (1.6436) Prec@1 53.125 (55.910) Prec@5 86.875 (84.415) Epoch: [75][2320/11272] Time 0.740 (0.788) Data 0.002 (0.003) Loss 1.4188 (1.6432) Prec@1 56.250 (55.916) Prec@5 90.625 (84.420) Epoch: [75][2330/11272] Time 0.780 (0.788) Data 0.002 (0.003) Loss 1.6815 (1.6431) Prec@1 58.125 (55.919) Prec@5 82.500 (84.421) Epoch: [75][2340/11272] Time 0.835 (0.788) Data 0.002 (0.003) Loss 1.7960 (1.6432) Prec@1 51.875 (55.919) Prec@5 82.500 (84.415) Epoch: [75][2350/11272] Time 0.875 (0.788) Data 0.002 (0.003) Loss 1.6246 (1.6433) Prec@1 52.500 (55.921) Prec@5 85.000 (84.415) Epoch: [75][2360/11272] Time 0.747 (0.788) Data 0.002 (0.003) Loss 1.7444 (1.6435) Prec@1 53.125 (55.910) Prec@5 83.750 (84.412) Epoch: [75][2370/11272] Time 0.834 (0.788) Data 0.001 (0.003) Loss 1.3694 (1.6433) Prec@1 61.250 (55.916) Prec@5 88.750 (84.414) Epoch: [75][2380/11272] Time 0.838 (0.788) Data 0.001 (0.003) Loss 1.6279 (1.6433) Prec@1 54.375 (55.917) Prec@5 86.250 (84.414) Epoch: [75][2390/11272] Time 0.737 (0.788) Data 0.001 (0.003) Loss 1.6409 (1.6434) Prec@1 56.875 (55.916) Prec@5 83.750 (84.411) Epoch: [75][2400/11272] Time 0.741 (0.788) Data 0.002 (0.003) Loss 1.8005 (1.6436) Prec@1 54.375 (55.911) Prec@5 80.000 (84.408) Epoch: [75][2410/11272] Time 0.826 (0.788) Data 0.002 (0.003) Loss 1.5379 (1.6437) Prec@1 61.250 (55.909) Prec@5 88.125 (84.406) Epoch: [75][2420/11272] Time 0.843 (0.789) Data 0.001 (0.003) Loss 1.7348 (1.6440) Prec@1 58.125 (55.904) Prec@5 79.375 (84.400) Epoch: [75][2430/11272] Time 0.723 (0.788) Data 0.001 (0.003) Loss 1.8176 (1.6442) Prec@1 53.125 (55.900) Prec@5 83.125 (84.400) Epoch: [75][2440/11272] Time 0.737 (0.788) Data 0.002 (0.003) Loss 1.9086 (1.6445) Prec@1 53.750 (55.895) Prec@5 78.750 (84.393) Epoch: [75][2450/11272] Time 0.833 (0.788) Data 0.002 (0.003) Loss 1.5689 (1.6443) Prec@1 58.125 (55.896) Prec@5 86.875 (84.395) Epoch: [75][2460/11272] Time 0.848 (0.788) Data 0.001 (0.003) Loss 1.5815 (1.6441) Prec@1 57.500 (55.900) Prec@5 86.250 (84.400) Epoch: [75][2470/11272] Time 0.731 (0.788) Data 0.002 (0.003) Loss 1.6390 (1.6445) Prec@1 53.750 (55.895) Prec@5 81.875 (84.394) Epoch: [75][2480/11272] Time 0.737 (0.788) Data 0.002 (0.003) Loss 1.6675 (1.6446) Prec@1 57.500 (55.894) Prec@5 83.750 (84.395) Epoch: [75][2490/11272] Time 0.814 (0.788) Data 0.001 (0.003) Loss 1.4211 (1.6443) Prec@1 61.875 (55.899) Prec@5 87.500 (84.394) Epoch: [75][2500/11272] Time 0.868 (0.788) Data 0.001 (0.003) Loss 1.6438 (1.6442) Prec@1 58.125 (55.907) Prec@5 87.500 (84.398) Epoch: [75][2510/11272] Time 0.734 (0.788) Data 0.002 (0.003) Loss 1.7875 (1.6444) Prec@1 49.375 (55.903) Prec@5 85.000 (84.396) Epoch: [75][2520/11272] Time 0.849 (0.788) Data 0.002 (0.003) Loss 1.6018 (1.6446) Prec@1 54.375 (55.894) Prec@5 82.500 (84.395) Epoch: [75][2530/11272] Time 0.815 (0.788) Data 0.001 (0.003) Loss 1.5709 (1.6444) Prec@1 55.625 (55.895) Prec@5 86.250 (84.397) Epoch: [75][2540/11272] Time 0.739 (0.788) Data 0.002 (0.003) Loss 1.7430 (1.6447) Prec@1 58.125 (55.889) Prec@5 80.000 (84.394) Epoch: [75][2550/11272] Time 0.680 (0.788) Data 0.001 (0.003) Loss 1.6857 (1.6447) Prec@1 49.375 (55.891) Prec@5 87.500 (84.393) Epoch: [75][2560/11272] Time 0.808 (0.788) Data 0.002 (0.003) Loss 1.7611 (1.6447) Prec@1 54.375 (55.889) Prec@5 79.375 (84.389) Epoch: [75][2570/11272] Time 0.828 (0.788) Data 0.002 (0.003) Loss 1.7241 (1.6446) Prec@1 52.500 (55.889) Prec@5 86.250 (84.391) Epoch: [75][2580/11272] Time 0.709 (0.788) Data 0.001 (0.003) Loss 1.7405 (1.6446) Prec@1 52.500 (55.884) Prec@5 85.000 (84.391) Epoch: [75][2590/11272] Time 0.739 (0.788) Data 0.002 (0.003) Loss 1.7508 (1.6448) Prec@1 56.250 (55.881) Prec@5 80.625 (84.385) Epoch: [75][2600/11272] Time 0.844 (0.788) Data 0.002 (0.003) Loss 1.6169 (1.6445) Prec@1 57.500 (55.890) Prec@5 83.125 (84.389) Epoch: [75][2610/11272] Time 0.851 (0.788) Data 0.002 (0.003) Loss 1.3899 (1.6444) Prec@1 64.375 (55.897) Prec@5 88.750 (84.390) Epoch: [75][2620/11272] Time 0.729 (0.788) Data 0.002 (0.003) Loss 1.6007 (1.6445) Prec@1 58.125 (55.897) Prec@5 86.875 (84.389) Epoch: [75][2630/11272] Time 0.727 (0.788) Data 0.002 (0.003) Loss 1.5385 (1.6444) Prec@1 53.750 (55.899) Prec@5 87.500 (84.389) Epoch: [75][2640/11272] Time 0.837 (0.788) Data 0.001 (0.003) Loss 1.6223 (1.6442) Prec@1 55.625 (55.908) Prec@5 86.875 (84.394) Epoch: [75][2650/11272] Time 0.754 (0.788) Data 0.001 (0.003) Loss 1.8473 (1.6445) Prec@1 46.875 (55.894) Prec@5 83.125 (84.396) Epoch: [75][2660/11272] Time 0.740 (0.788) Data 0.002 (0.003) Loss 1.8308 (1.6445) Prec@1 47.500 (55.890) Prec@5 84.375 (84.396) Epoch: [75][2670/11272] Time 0.818 (0.788) Data 0.001 (0.003) Loss 1.9019 (1.6446) Prec@1 48.125 (55.885) Prec@5 78.750 (84.397) Epoch: [75][2680/11272] Time 0.842 (0.788) Data 0.002 (0.003) Loss 1.6617 (1.6446) Prec@1 55.000 (55.879) Prec@5 84.375 (84.398) Epoch: [75][2690/11272] Time 0.737 (0.788) Data 0.002 (0.003) Loss 1.7116 (1.6446) Prec@1 55.000 (55.877) Prec@5 82.500 (84.397) Epoch: [75][2700/11272] Time 0.747 (0.788) Data 0.002 (0.003) Loss 1.5330 (1.6449) Prec@1 61.250 (55.873) Prec@5 85.625 (84.389) Epoch: [75][2710/11272] Time 0.897 (0.788) Data 0.002 (0.003) Loss 1.6402 (1.6451) Prec@1 51.875 (55.867) Prec@5 84.375 (84.384) Epoch: [75][2720/11272] Time 0.874 (0.788) Data 0.002 (0.003) Loss 1.5601 (1.6451) Prec@1 56.875 (55.863) Prec@5 86.250 (84.381) Epoch: [75][2730/11272] Time 0.749 (0.788) Data 0.002 (0.003) Loss 1.6855 (1.6453) Prec@1 55.000 (55.857) Prec@5 85.625 (84.378) Epoch: [75][2740/11272] Time 0.740 (0.788) Data 0.002 (0.003) Loss 1.3485 (1.6451) Prec@1 64.375 (55.863) Prec@5 88.125 (84.378) Epoch: [75][2750/11272] Time 0.849 (0.788) Data 0.002 (0.003) Loss 1.6395 (1.6452) Prec@1 61.250 (55.863) Prec@5 81.250 (84.374) Epoch: [75][2760/11272] Time 0.832 (0.788) Data 0.002 (0.003) Loss 1.7674 (1.6451) Prec@1 56.875 (55.866) Prec@5 84.375 (84.377) Epoch: [75][2770/11272] Time 0.744 (0.788) Data 0.001 (0.003) Loss 1.8442 (1.6452) Prec@1 53.125 (55.864) Prec@5 81.250 (84.376) Epoch: [75][2780/11272] Time 0.843 (0.788) Data 0.001 (0.003) Loss 1.6656 (1.6452) Prec@1 52.500 (55.862) Prec@5 85.000 (84.381) Epoch: [75][2790/11272] Time 0.832 (0.788) Data 0.002 (0.003) Loss 1.6219 (1.6452) Prec@1 55.625 (55.863) Prec@5 82.500 (84.380) Epoch: [75][2800/11272] Time 0.729 (0.788) Data 0.002 (0.003) Loss 1.7091 (1.6451) Prec@1 53.125 (55.864) Prec@5 85.625 (84.385) Epoch: [75][2810/11272] Time 0.702 (0.788) Data 0.001 (0.003) Loss 1.6563 (1.6449) Prec@1 51.250 (55.866) Prec@5 83.750 (84.387) Epoch: [75][2820/11272] Time 0.871 (0.788) Data 0.002 (0.003) Loss 1.6116 (1.6449) Prec@1 55.000 (55.866) Prec@5 85.625 (84.386) Epoch: [75][2830/11272] Time 0.828 (0.788) Data 0.001 (0.003) Loss 1.8901 (1.6452) Prec@1 50.000 (55.861) Prec@5 80.625 (84.379) Epoch: [75][2840/11272] Time 0.723 (0.788) Data 0.001 (0.003) Loss 1.6373 (1.6453) Prec@1 53.750 (55.857) Prec@5 82.500 (84.378) Epoch: [75][2850/11272] Time 0.763 (0.788) Data 0.002 (0.003) Loss 1.7010 (1.6454) Prec@1 54.375 (55.854) Prec@5 86.875 (84.379) Epoch: [75][2860/11272] Time 0.831 (0.788) Data 0.002 (0.003) Loss 1.5502 (1.6451) Prec@1 56.250 (55.853) Prec@5 86.250 (84.383) Epoch: [75][2870/11272] Time 0.838 (0.788) Data 0.002 (0.003) Loss 1.4601 (1.6454) Prec@1 60.000 (55.849) Prec@5 86.250 (84.377) Epoch: [75][2880/11272] Time 0.737 (0.788) Data 0.002 (0.003) Loss 1.7828 (1.6454) Prec@1 46.875 (55.847) Prec@5 85.000 (84.376) Epoch: [75][2890/11272] Time 0.716 (0.788) Data 0.001 (0.003) Loss 1.5940 (1.6454) Prec@1 58.125 (55.844) Prec@5 87.500 (84.379) Epoch: [75][2900/11272] Time 0.849 (0.788) Data 0.002 (0.003) Loss 1.6271 (1.6452) Prec@1 53.750 (55.846) Prec@5 85.625 (84.378) Epoch: [75][2910/11272] Time 0.728 (0.788) Data 0.001 (0.003) Loss 1.5776 (1.6451) Prec@1 58.750 (55.849) Prec@5 84.375 (84.383) Epoch: [75][2920/11272] Time 0.717 (0.788) Data 0.001 (0.003) Loss 1.9909 (1.6454) Prec@1 48.125 (55.844) Prec@5 78.750 (84.379) Epoch: [75][2930/11272] Time 0.890 (0.788) Data 0.002 (0.003) Loss 1.7145 (1.6455) Prec@1 52.500 (55.842) Prec@5 85.625 (84.379) Epoch: [75][2940/11272] Time 0.861 (0.788) Data 0.002 (0.003) Loss 1.8495 (1.6453) Prec@1 56.875 (55.846) Prec@5 80.625 (84.382) Epoch: [75][2950/11272] Time 0.720 (0.789) Data 0.001 (0.003) Loss 1.4346 (1.6453) Prec@1 58.125 (55.841) Prec@5 90.000 (84.383) Epoch: [75][2960/11272] Time 0.698 (0.789) Data 0.001 (0.003) Loss 1.6339 (1.6454) Prec@1 56.875 (55.846) Prec@5 83.750 (84.380) Epoch: [75][2970/11272] Time 0.849 (0.789) Data 0.002 (0.003) Loss 1.5336 (1.6454) Prec@1 57.500 (55.846) Prec@5 83.750 (84.377) Epoch: [75][2980/11272] Time 0.871 (0.789) Data 0.002 (0.003) Loss 1.6783 (1.6456) Prec@1 54.375 (55.836) Prec@5 83.750 (84.375) Epoch: [75][2990/11272] Time 0.787 (0.789) Data 0.003 (0.003) Loss 1.5428 (1.6455) Prec@1 58.125 (55.836) Prec@5 86.250 (84.377) Epoch: [75][3000/11272] Time 0.751 (0.789) Data 0.002 (0.003) Loss 1.6895 (1.6455) Prec@1 51.875 (55.834) Prec@5 83.125 (84.378) Epoch: [75][3010/11272] Time 0.905 (0.789) Data 0.002 (0.003) Loss 1.4465 (1.6454) Prec@1 63.125 (55.840) Prec@5 86.875 (84.379) Epoch: [75][3020/11272] Time 0.860 (0.789) Data 0.002 (0.003) Loss 1.5411 (1.6454) Prec@1 61.250 (55.840) Prec@5 84.375 (84.378) Epoch: [75][3030/11272] Time 0.751 (0.789) Data 0.002 (0.003) Loss 1.8922 (1.6457) Prec@1 48.125 (55.834) Prec@5 83.125 (84.375) Epoch: [75][3040/11272] Time 0.872 (0.789) Data 0.002 (0.003) Loss 1.6270 (1.6460) Prec@1 55.000 (55.824) Prec@5 85.000 (84.369) Epoch: [75][3050/11272] Time 0.879 (0.789) Data 0.002 (0.003) Loss 1.8284 (1.6463) Prec@1 50.625 (55.824) Prec@5 81.875 (84.367) Epoch: [75][3060/11272] Time 0.736 (0.789) Data 0.002 (0.003) Loss 1.6360 (1.6462) Prec@1 58.750 (55.828) Prec@5 82.500 (84.365) Epoch: [75][3070/11272] Time 0.742 (0.789) Data 0.002 (0.003) Loss 1.7227 (1.6464) Prec@1 54.375 (55.822) Prec@5 81.875 (84.364) Epoch: [75][3080/11272] Time 0.888 (0.789) Data 0.002 (0.003) Loss 1.7396 (1.6467) Prec@1 55.000 (55.819) Prec@5 78.750 (84.358) Epoch: [75][3090/11272] Time 0.854 (0.789) Data 0.002 (0.003) Loss 1.5443 (1.6466) Prec@1 61.250 (55.821) Prec@5 83.750 (84.358) Epoch: [75][3100/11272] Time 0.743 (0.789) Data 0.002 (0.003) Loss 1.7895 (1.6468) Prec@1 55.000 (55.814) Prec@5 85.000 (84.356) Epoch: [75][3110/11272] Time 0.737 (0.789) Data 0.002 (0.003) Loss 1.7356 (1.6469) Prec@1 53.750 (55.814) Prec@5 83.750 (84.353) Epoch: [75][3120/11272] Time 0.857 (0.789) Data 0.002 (0.003) Loss 1.8508 (1.6469) Prec@1 46.250 (55.810) Prec@5 83.750 (84.355) Epoch: [75][3130/11272] Time 0.837 (0.789) Data 0.002 (0.003) Loss 1.7814 (1.6471) Prec@1 48.750 (55.801) Prec@5 80.625 (84.352) Epoch: [75][3140/11272] Time 0.721 (0.789) Data 0.001 (0.003) Loss 1.5138 (1.6470) Prec@1 59.375 (55.805) Prec@5 88.125 (84.354) Epoch: [75][3150/11272] Time 0.741 (0.789) Data 0.002 (0.003) Loss 1.5342 (1.6469) Prec@1 54.375 (55.807) Prec@5 86.250 (84.358) Epoch: [75][3160/11272] Time 0.907 (0.789) Data 0.002 (0.003) Loss 1.8060 (1.6469) Prec@1 55.000 (55.806) Prec@5 85.625 (84.359) Epoch: [75][3170/11272] Time 0.723 (0.789) Data 0.003 (0.003) Loss 1.5069 (1.6472) Prec@1 56.875 (55.798) Prec@5 86.875 (84.351) Epoch: [75][3180/11272] Time 0.713 (0.789) Data 0.002 (0.003) Loss 1.4036 (1.6471) Prec@1 63.125 (55.804) Prec@5 86.875 (84.352) Epoch: [75][3190/11272] Time 0.825 (0.789) Data 0.001 (0.003) Loss 1.9766 (1.6471) Prec@1 49.375 (55.804) Prec@5 75.625 (84.350) Epoch: [75][3200/11272] Time 0.830 (0.789) Data 0.001 (0.003) Loss 1.6845 (1.6472) Prec@1 53.125 (55.801) Prec@5 83.750 (84.349) Epoch: [75][3210/11272] Time 0.783 (0.789) Data 0.002 (0.003) Loss 1.7000 (1.6472) Prec@1 55.625 (55.802) Prec@5 82.500 (84.347) Epoch: [75][3220/11272] Time 0.749 (0.789) Data 0.002 (0.003) Loss 1.7929 (1.6472) Prec@1 50.000 (55.804) Prec@5 81.875 (84.347) Epoch: [75][3230/11272] Time 0.828 (0.789) Data 0.002 (0.003) Loss 1.6907 (1.6473) Prec@1 56.250 (55.801) Prec@5 85.000 (84.348) Epoch: [75][3240/11272] Time 0.852 (0.789) Data 0.002 (0.003) Loss 1.8787 (1.6476) Prec@1 50.000 (55.798) Prec@5 80.625 (84.340) Epoch: [75][3250/11272] Time 0.732 (0.789) Data 0.002 (0.003) Loss 1.4595 (1.6475) Prec@1 61.250 (55.796) Prec@5 86.875 (84.341) Epoch: [75][3260/11272] Time 0.733 (0.789) Data 0.001 (0.003) Loss 1.5804 (1.6476) Prec@1 59.375 (55.798) Prec@5 83.125 (84.338) Epoch: [75][3270/11272] Time 0.858 (0.789) Data 0.002 (0.003) Loss 1.4869 (1.6477) Prec@1 55.000 (55.793) Prec@5 86.875 (84.335) Epoch: [75][3280/11272] Time 0.832 (0.789) Data 0.002 (0.003) Loss 1.5472 (1.6477) Prec@1 57.500 (55.792) Prec@5 86.250 (84.334) Epoch: [75][3290/11272] Time 0.759 (0.789) Data 0.002 (0.003) Loss 1.4867 (1.6475) Prec@1 55.625 (55.796) Prec@5 86.875 (84.337) Epoch: [75][3300/11272] Time 0.825 (0.789) Data 0.002 (0.003) Loss 1.6063 (1.6473) Prec@1 56.875 (55.799) Prec@5 85.625 (84.338) Epoch: [75][3310/11272] Time 0.871 (0.789) Data 0.002 (0.003) Loss 1.8036 (1.6473) Prec@1 49.375 (55.804) Prec@5 86.875 (84.342) Epoch: [75][3320/11272] Time 0.744 (0.789) Data 0.001 (0.003) Loss 1.6972 (1.6474) Prec@1 60.000 (55.804) Prec@5 81.875 (84.337) Epoch: [75][3330/11272] Time 0.730 (0.789) Data 0.002 (0.003) Loss 1.5362 (1.6475) Prec@1 58.125 (55.799) Prec@5 85.625 (84.334) Epoch: [75][3340/11272] Time 0.847 (0.789) Data 0.002 (0.003) Loss 1.6908 (1.6475) Prec@1 51.250 (55.800) Prec@5 84.375 (84.338) Epoch: [75][3350/11272] Time 0.869 (0.789) Data 0.001 (0.003) Loss 1.6803 (1.6473) Prec@1 53.125 (55.801) Prec@5 81.875 (84.341) Epoch: [75][3360/11272] Time 0.752 (0.789) Data 0.001 (0.003) Loss 1.6223 (1.6472) Prec@1 55.000 (55.806) Prec@5 83.125 (84.340) Epoch: [75][3370/11272] Time 0.730 (0.789) Data 0.002 (0.003) Loss 1.3164 (1.6471) Prec@1 63.125 (55.812) Prec@5 90.000 (84.343) Epoch: [75][3380/11272] Time 0.827 (0.789) Data 0.002 (0.003) Loss 1.8664 (1.6472) Prec@1 51.250 (55.814) Prec@5 79.375 (84.341) Epoch: [75][3390/11272] Time 0.802 (0.789) Data 0.002 (0.003) Loss 1.6378 (1.6472) Prec@1 54.375 (55.816) Prec@5 87.500 (84.341) Epoch: [75][3400/11272] Time 0.740 (0.789) Data 0.002 (0.003) Loss 1.7504 (1.6473) Prec@1 56.250 (55.818) Prec@5 84.375 (84.342) Epoch: [75][3410/11272] Time 0.737 (0.789) Data 0.002 (0.003) Loss 1.8454 (1.6472) Prec@1 48.750 (55.819) Prec@5 80.625 (84.343) Epoch: [75][3420/11272] Time 0.835 (0.789) Data 0.002 (0.003) Loss 1.9343 (1.6475) Prec@1 46.875 (55.812) Prec@5 80.625 (84.338) Epoch: [75][3430/11272] Time 0.848 (0.789) Data 0.002 (0.003) Loss 1.5538 (1.6475) Prec@1 60.625 (55.813) Prec@5 83.750 (84.337) Epoch: [75][3440/11272] Time 0.746 (0.789) Data 0.002 (0.003) Loss 1.6377 (1.6474) Prec@1 56.250 (55.818) Prec@5 85.000 (84.340) Epoch: [75][3450/11272] Time 0.816 (0.789) Data 0.002 (0.003) Loss 1.5746 (1.6474) Prec@1 56.875 (55.817) Prec@5 83.750 (84.336) Epoch: [75][3460/11272] Time 0.795 (0.789) Data 0.001 (0.003) Loss 1.7409 (1.6475) Prec@1 55.625 (55.816) Prec@5 80.625 (84.334) Epoch: [75][3470/11272] Time 0.793 (0.789) Data 0.002 (0.003) Loss 1.7504 (1.6476) Prec@1 52.500 (55.815) Prec@5 81.250 (84.334) Epoch: [75][3480/11272] Time 0.731 (0.789) Data 0.002 (0.003) Loss 1.6443 (1.6476) Prec@1 56.875 (55.815) Prec@5 83.125 (84.332) Epoch: [75][3490/11272] Time 0.838 (0.789) Data 0.002 (0.003) Loss 1.5666 (1.6476) Prec@1 56.250 (55.817) Prec@5 86.250 (84.332) Epoch: [75][3500/11272] Time 0.925 (0.789) Data 0.002 (0.003) Loss 1.4602 (1.6474) Prec@1 60.000 (55.822) Prec@5 87.500 (84.338) Epoch: [75][3510/11272] Time 0.732 (0.789) Data 0.001 (0.003) Loss 1.6134 (1.6476) Prec@1 55.625 (55.814) Prec@5 86.250 (84.337) Epoch: [75][3520/11272] Time 0.692 (0.789) Data 0.002 (0.003) Loss 1.4705 (1.6474) Prec@1 60.625 (55.815) Prec@5 86.250 (84.341) Epoch: [75][3530/11272] Time 0.817 (0.789) Data 0.002 (0.003) Loss 1.7545 (1.6475) Prec@1 56.250 (55.813) Prec@5 80.000 (84.337) Epoch: [75][3540/11272] Time 0.849 (0.789) Data 0.001 (0.003) Loss 1.8204 (1.6476) Prec@1 55.000 (55.815) Prec@5 81.875 (84.336) Epoch: [75][3550/11272] Time 0.704 (0.789) Data 0.001 (0.003) Loss 1.5516 (1.6476) Prec@1 59.375 (55.815) Prec@5 84.375 (84.336) Epoch: [75][3560/11272] Time 0.699 (0.789) Data 0.001 (0.003) Loss 1.5633 (1.6476) Prec@1 60.000 (55.815) Prec@5 86.250 (84.334) Epoch: [75][3570/11272] Time 0.847 (0.789) Data 0.001 (0.003) Loss 1.5651 (1.6477) Prec@1 56.250 (55.812) Prec@5 85.625 (84.335) Epoch: [75][3580/11272] Time 0.754 (0.789) Data 0.002 (0.003) Loss 1.6644 (1.6477) Prec@1 56.875 (55.813) Prec@5 86.875 (84.337) Epoch: [75][3590/11272] Time 0.749 (0.789) Data 0.002 (0.003) Loss 1.6077 (1.6477) Prec@1 55.000 (55.811) Prec@5 85.625 (84.339) Epoch: [75][3600/11272] Time 0.804 (0.789) Data 0.001 (0.003) Loss 1.7903 (1.6479) Prec@1 52.500 (55.808) Prec@5 83.750 (84.337) Epoch: [75][3610/11272] Time 0.837 (0.789) Data 0.002 (0.003) Loss 1.4173 (1.6480) Prec@1 61.875 (55.806) Prec@5 88.750 (84.333) Epoch: [75][3620/11272] Time 0.748 (0.789) Data 0.001 (0.003) Loss 1.6487 (1.6482) Prec@1 60.625 (55.803) Prec@5 85.625 (84.330) Epoch: [75][3630/11272] Time 0.742 (0.789) Data 0.002 (0.003) Loss 1.7099 (1.6484) Prec@1 51.875 (55.799) Prec@5 81.250 (84.327) Epoch: [75][3640/11272] Time 0.820 (0.789) Data 0.002 (0.003) Loss 1.6643 (1.6484) Prec@1 59.375 (55.801) Prec@5 83.125 (84.325) Epoch: [75][3650/11272] Time 0.822 (0.789) Data 0.002 (0.003) Loss 1.3796 (1.6485) Prec@1 63.750 (55.800) Prec@5 88.125 (84.323) Epoch: [75][3660/11272] Time 0.757 (0.789) Data 0.001 (0.003) Loss 1.6338 (1.6485) Prec@1 56.250 (55.802) Prec@5 85.000 (84.323) Epoch: [75][3670/11272] Time 0.761 (0.789) Data 0.002 (0.003) Loss 1.9077 (1.6488) Prec@1 48.750 (55.792) Prec@5 78.125 (84.319) Epoch: [75][3680/11272] Time 0.823 (0.789) Data 0.001 (0.003) Loss 1.9217 (1.6490) Prec@1 47.500 (55.789) Prec@5 84.375 (84.318) Epoch: [75][3690/11272] Time 0.843 (0.789) Data 0.002 (0.003) Loss 1.5122 (1.6490) Prec@1 58.125 (55.786) Prec@5 87.500 (84.317) Epoch: [75][3700/11272] Time 0.705 (0.789) Data 0.001 (0.003) Loss 1.6070 (1.6490) Prec@1 53.125 (55.786) Prec@5 85.625 (84.317) Epoch: [75][3710/11272] Time 0.850 (0.789) Data 0.002 (0.003) Loss 1.8373 (1.6492) Prec@1 51.875 (55.785) Prec@5 80.000 (84.314) Epoch: [75][3720/11272] Time 0.836 (0.789) Data 0.002 (0.003) Loss 1.8316 (1.6493) Prec@1 52.500 (55.785) Prec@5 77.500 (84.311) Epoch: [75][3730/11272] Time 0.741 (0.789) Data 0.001 (0.003) Loss 1.8108 (1.6494) Prec@1 50.000 (55.783) Prec@5 83.750 (84.309) Epoch: [75][3740/11272] Time 0.735 (0.789) Data 0.002 (0.003) Loss 1.5864 (1.6495) Prec@1 55.625 (55.779) Prec@5 86.250 (84.308) Epoch: [75][3750/11272] Time 0.837 (0.789) Data 0.001 (0.003) Loss 1.6436 (1.6498) Prec@1 51.875 (55.774) Prec@5 84.375 (84.303) Epoch: [75][3760/11272] Time 0.819 (0.789) Data 0.001 (0.003) Loss 1.5301 (1.6497) Prec@1 65.000 (55.775) Prec@5 86.250 (84.304) Epoch: [75][3770/11272] Time 0.752 (0.789) Data 0.001 (0.003) Loss 1.8174 (1.6496) Prec@1 53.125 (55.778) Prec@5 80.000 (84.304) Epoch: [75][3780/11272] Time 0.735 (0.789) Data 0.001 (0.003) Loss 1.4575 (1.6497) Prec@1 58.125 (55.777) Prec@5 86.875 (84.302) Epoch: [75][3790/11272] Time 0.861 (0.789) Data 0.004 (0.003) Loss 1.6062 (1.6496) Prec@1 55.625 (55.776) Prec@5 85.625 (84.306) Epoch: [75][3800/11272] Time 0.863 (0.789) Data 0.002 (0.003) Loss 1.4652 (1.6497) Prec@1 60.625 (55.775) Prec@5 86.875 (84.304) Epoch: [75][3810/11272] Time 0.761 (0.789) Data 0.002 (0.003) Loss 1.7161 (1.6497) Prec@1 53.125 (55.774) Prec@5 81.875 (84.304) Epoch: [75][3820/11272] Time 0.751 (0.789) Data 0.002 (0.003) Loss 1.8160 (1.6496) Prec@1 48.125 (55.773) Prec@5 83.750 (84.310) Epoch: [75][3830/11272] Time 0.830 (0.789) Data 0.002 (0.003) Loss 1.6592 (1.6496) Prec@1 58.125 (55.780) Prec@5 82.500 (84.309) Epoch: [75][3840/11272] Time 0.712 (0.789) Data 0.003 (0.003) Loss 1.8841 (1.6498) Prec@1 50.625 (55.776) Prec@5 82.500 (84.306) Epoch: [75][3850/11272] Time 0.740 (0.789) Data 0.001 (0.003) Loss 1.7579 (1.6497) Prec@1 55.000 (55.778) Prec@5 81.250 (84.308) Epoch: [75][3860/11272] Time 0.831 (0.789) Data 0.001 (0.003) Loss 1.6650 (1.6496) Prec@1 56.250 (55.778) Prec@5 84.375 (84.308) Epoch: [75][3870/11272] Time 0.839 (0.789) Data 0.002 (0.003) Loss 1.5466 (1.6495) Prec@1 53.750 (55.780) Prec@5 85.625 (84.308) Epoch: [75][3880/11272] Time 0.745 (0.789) Data 0.002 (0.003) Loss 1.7070 (1.6497) Prec@1 52.500 (55.772) Prec@5 81.875 (84.307) Epoch: [75][3890/11272] Time 0.727 (0.789) Data 0.001 (0.003) Loss 1.7067 (1.6496) Prec@1 56.875 (55.773) Prec@5 81.875 (84.309) Epoch: [75][3900/11272] Time 0.888 (0.789) Data 0.002 (0.003) Loss 1.8414 (1.6497) Prec@1 46.875 (55.772) Prec@5 83.125 (84.308) Epoch: [75][3910/11272] Time 0.831 (0.789) Data 0.001 (0.003) Loss 1.6400 (1.6496) Prec@1 58.125 (55.770) Prec@5 81.875 (84.309) Epoch: [75][3920/11272] Time 0.762 (0.789) Data 0.002 (0.003) Loss 1.4986 (1.6495) Prec@1 60.625 (55.771) Prec@5 85.625 (84.311) Epoch: [75][3930/11272] Time 0.777 (0.789) Data 0.002 (0.003) Loss 1.8115 (1.6493) Prec@1 50.000 (55.777) Prec@5 83.125 (84.315) Epoch: [75][3940/11272] Time 0.843 (0.789) Data 0.002 (0.003) Loss 1.5927 (1.6492) Prec@1 56.875 (55.782) Prec@5 86.250 (84.318) Epoch: [75][3950/11272] Time 0.863 (0.789) Data 0.002 (0.003) Loss 1.6691 (1.6493) Prec@1 58.750 (55.777) Prec@5 81.250 (84.314) Epoch: [75][3960/11272] Time 0.729 (0.789) Data 0.002 (0.003) Loss 1.6048 (1.6494) Prec@1 58.125 (55.773) Prec@5 83.125 (84.314) Epoch: [75][3970/11272] Time 0.846 (0.789) Data 0.002 (0.003) Loss 1.8764 (1.6495) Prec@1 46.250 (55.768) Prec@5 80.000 (84.313) Epoch: [75][3980/11272] Time 0.833 (0.789) Data 0.001 (0.003) Loss 1.7620 (1.6495) Prec@1 53.750 (55.770) Prec@5 83.125 (84.312) Epoch: [75][3990/11272] Time 0.780 (0.789) Data 0.001 (0.003) Loss 1.6822 (1.6496) Prec@1 56.875 (55.771) Prec@5 83.750 (84.308) Epoch: [75][4000/11272] Time 0.718 (0.789) Data 0.001 (0.003) Loss 1.8705 (1.6498) Prec@1 50.625 (55.767) Prec@5 81.875 (84.307) Epoch: [75][4010/11272] Time 0.892 (0.789) Data 0.002 (0.003) Loss 1.6214 (1.6499) Prec@1 57.500 (55.762) Prec@5 83.750 (84.308) Epoch: [75][4020/11272] Time 0.846 (0.789) Data 0.002 (0.003) Loss 1.6103 (1.6499) Prec@1 57.500 (55.763) Prec@5 84.375 (84.309) Epoch: [75][4030/11272] Time 0.771 (0.789) Data 0.001 (0.002) Loss 1.6419 (1.6499) Prec@1 57.500 (55.757) Prec@5 81.250 (84.310) Epoch: [75][4040/11272] Time 0.756 (0.789) Data 0.002 (0.002) Loss 1.7313 (1.6498) Prec@1 55.625 (55.763) Prec@5 85.000 (84.314) Epoch: [75][4050/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.5580 (1.6496) Prec@1 58.750 (55.765) Prec@5 85.625 (84.316) Epoch: [75][4060/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 1.8411 (1.6495) Prec@1 53.750 (55.770) Prec@5 80.625 (84.319) Epoch: [75][4070/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.5470 (1.6493) Prec@1 57.500 (55.776) Prec@5 85.625 (84.321) Epoch: [75][4080/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.5479 (1.6492) Prec@1 56.875 (55.777) Prec@5 88.125 (84.326) Epoch: [75][4090/11272] Time 0.864 (0.789) Data 0.001 (0.002) Loss 1.5426 (1.6492) Prec@1 59.375 (55.774) Prec@5 84.375 (84.324) Epoch: [75][4100/11272] Time 0.721 (0.789) Data 0.003 (0.002) Loss 1.5516 (1.6493) Prec@1 55.000 (55.769) Prec@5 85.625 (84.322) Epoch: [75][4110/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.6351 (1.6494) Prec@1 51.250 (55.766) Prec@5 84.375 (84.321) Epoch: [75][4120/11272] Time 0.817 (0.789) Data 0.002 (0.002) Loss 1.5450 (1.6493) Prec@1 57.500 (55.767) Prec@5 85.000 (84.321) Epoch: [75][4130/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.5399 (1.6493) Prec@1 56.875 (55.765) Prec@5 84.375 (84.321) Epoch: [75][4140/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.5860 (1.6493) Prec@1 56.875 (55.765) Prec@5 86.875 (84.325) Epoch: [75][4150/11272] Time 0.761 (0.789) Data 0.002 (0.002) Loss 1.6455 (1.6492) Prec@1 58.750 (55.765) Prec@5 83.750 (84.326) Epoch: [75][4160/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.6698 (1.6493) Prec@1 51.875 (55.757) Prec@5 81.875 (84.326) Epoch: [75][4170/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.6999 (1.6494) Prec@1 54.375 (55.755) Prec@5 82.500 (84.326) Epoch: [75][4180/11272] Time 0.734 (0.789) Data 0.002 (0.002) Loss 1.8506 (1.6493) Prec@1 46.875 (55.755) Prec@5 82.500 (84.324) Epoch: [75][4190/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.9579 (1.6494) Prec@1 48.750 (55.753) Prec@5 82.500 (84.325) Epoch: [75][4200/11272] Time 0.816 (0.789) Data 0.002 (0.002) Loss 1.7168 (1.6494) Prec@1 56.875 (55.754) Prec@5 83.125 (84.324) Epoch: [75][4210/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.5805 (1.6494) Prec@1 53.125 (55.752) Prec@5 84.375 (84.318) Epoch: [75][4220/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.6736 (1.6494) Prec@1 57.500 (55.751) Prec@5 86.250 (84.321) Epoch: [75][4230/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.7055 (1.6495) Prec@1 51.875 (55.747) Prec@5 85.625 (84.321) Epoch: [75][4240/11272] Time 0.821 (0.789) Data 0.002 (0.002) Loss 1.6598 (1.6495) Prec@1 52.500 (55.748) Prec@5 86.875 (84.320) Epoch: [75][4250/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.4475 (1.6494) Prec@1 62.500 (55.752) Prec@5 85.625 (84.321) Epoch: [75][4260/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.5212 (1.6492) Prec@1 55.000 (55.755) Prec@5 88.750 (84.327) Epoch: [75][4270/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.6154 (1.6492) Prec@1 61.250 (55.759) Prec@5 85.000 (84.326) Epoch: [75][4280/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.6679 (1.6493) Prec@1 56.250 (55.759) Prec@5 85.000 (84.327) Epoch: [75][4290/11272] Time 0.748 (0.789) Data 0.002 (0.002) Loss 1.7456 (1.6493) Prec@1 53.125 (55.759) Prec@5 80.625 (84.325) Epoch: [75][4300/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7007 (1.6493) Prec@1 56.250 (55.760) Prec@5 83.125 (84.326) Epoch: [75][4310/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.6050 (1.6493) Prec@1 60.625 (55.763) Prec@5 85.625 (84.326) Epoch: [75][4320/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 1.6380 (1.6493) Prec@1 58.125 (55.761) Prec@5 83.750 (84.327) Epoch: [75][4330/11272] Time 0.758 (0.789) Data 0.002 (0.002) Loss 1.5161 (1.6493) Prec@1 55.625 (55.760) Prec@5 87.500 (84.325) Epoch: [75][4340/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.5740 (1.6494) Prec@1 58.125 (55.757) Prec@5 85.000 (84.325) Epoch: [75][4350/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.6112 (1.6494) Prec@1 58.750 (55.758) Prec@5 86.875 (84.326) Epoch: [75][4360/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 1.6834 (1.6495) Prec@1 51.875 (55.754) Prec@5 84.375 (84.322) Epoch: [75][4370/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.5894 (1.6497) Prec@1 60.625 (55.752) Prec@5 83.750 (84.320) Epoch: [75][4380/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.7300 (1.6498) Prec@1 56.875 (55.749) Prec@5 82.500 (84.317) Epoch: [75][4390/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.7407 (1.6499) Prec@1 52.500 (55.747) Prec@5 85.625 (84.315) Epoch: [75][4400/11272] Time 0.737 (0.789) Data 0.002 (0.002) Loss 1.6460 (1.6499) Prec@1 53.125 (55.744) Prec@5 85.000 (84.313) Epoch: [75][4410/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.7578 (1.6498) Prec@1 56.250 (55.745) Prec@5 83.125 (84.316) Epoch: [75][4420/11272] Time 0.807 (0.789) Data 0.001 (0.002) Loss 1.8308 (1.6498) Prec@1 55.000 (55.748) Prec@5 82.500 (84.319) Epoch: [75][4430/11272] Time 0.813 (0.789) Data 0.001 (0.002) Loss 1.6376 (1.6498) Prec@1 58.125 (55.745) Prec@5 82.500 (84.319) Epoch: [75][4440/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.6923 (1.6496) Prec@1 55.625 (55.748) Prec@5 81.875 (84.322) Epoch: [75][4450/11272] Time 0.701 (0.789) Data 0.001 (0.002) Loss 1.7599 (1.6497) Prec@1 56.250 (55.742) Prec@5 84.375 (84.323) Epoch: [75][4460/11272] Time 0.877 (0.789) Data 0.002 (0.002) Loss 1.7458 (1.6497) Prec@1 56.875 (55.740) Prec@5 82.500 (84.323) Epoch: [75][4470/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.5130 (1.6497) Prec@1 58.750 (55.741) Prec@5 87.500 (84.323) Epoch: [75][4480/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5373 (1.6499) Prec@1 55.625 (55.738) Prec@5 86.875 (84.319) Epoch: [75][4490/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.5893 (1.6499) Prec@1 55.625 (55.738) Prec@5 85.625 (84.320) Epoch: [75][4500/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.6242 (1.6498) Prec@1 56.250 (55.739) Prec@5 88.125 (84.324) Epoch: [75][4510/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5408 (1.6499) Prec@1 61.875 (55.739) Prec@5 87.500 (84.324) Epoch: [75][4520/11272] Time 0.708 (0.789) Data 0.001 (0.002) Loss 1.7607 (1.6497) Prec@1 56.875 (55.742) Prec@5 80.000 (84.326) Epoch: [75][4530/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.8501 (1.6498) Prec@1 56.875 (55.741) Prec@5 80.000 (84.325) Epoch: [75][4540/11272] Time 0.846 (0.789) Data 0.001 (0.002) Loss 1.6720 (1.6497) Prec@1 56.875 (55.741) Prec@5 82.500 (84.325) Epoch: [75][4550/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.7886 (1.6498) Prec@1 52.500 (55.742) Prec@5 82.500 (84.323) Epoch: [75][4560/11272] Time 0.696 (0.789) Data 0.001 (0.002) Loss 1.8612 (1.6498) Prec@1 53.125 (55.742) Prec@5 80.000 (84.324) Epoch: [75][4570/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.5546 (1.6499) Prec@1 59.375 (55.741) Prec@5 85.625 (84.322) Epoch: [75][4580/11272] Time 0.871 (0.789) Data 0.002 (0.002) Loss 1.7598 (1.6500) Prec@1 53.750 (55.742) Prec@5 83.750 (84.319) Epoch: [75][4590/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.5391 (1.6499) Prec@1 60.000 (55.744) Prec@5 85.625 (84.323) Epoch: [75][4600/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6134 (1.6500) Prec@1 55.000 (55.743) Prec@5 86.875 (84.319) Epoch: [75][4610/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.5854 (1.6501) Prec@1 54.375 (55.742) Prec@5 84.375 (84.316) Epoch: [75][4620/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.7136 (1.6501) Prec@1 55.000 (55.741) Prec@5 81.875 (84.315) Epoch: [75][4630/11272] Time 0.750 (0.789) Data 0.002 (0.002) Loss 1.7068 (1.6502) Prec@1 51.875 (55.739) Prec@5 86.875 (84.318) Epoch: [75][4640/11272] Time 0.825 (0.789) Data 0.002 (0.002) Loss 1.7076 (1.6502) Prec@1 56.875 (55.736) Prec@5 84.375 (84.314) Epoch: [75][4650/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.7333 (1.6501) Prec@1 56.250 (55.741) Prec@5 83.750 (84.315) Epoch: [75][4660/11272] Time 0.799 (0.789) Data 0.001 (0.002) Loss 1.7472 (1.6501) Prec@1 51.875 (55.741) Prec@5 83.125 (84.316) Epoch: [75][4670/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.7857 (1.6502) Prec@1 50.625 (55.738) Prec@5 80.625 (84.315) Epoch: [75][4680/11272] Time 0.882 (0.789) Data 0.002 (0.002) Loss 1.4813 (1.6500) Prec@1 57.500 (55.739) Prec@5 88.750 (84.318) Epoch: [75][4690/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.8331 (1.6501) Prec@1 52.500 (55.739) Prec@5 82.500 (84.316) Epoch: [75][4700/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.5449 (1.6501) Prec@1 58.750 (55.738) Prec@5 86.875 (84.315) Epoch: [75][4710/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.7927 (1.6502) Prec@1 52.500 (55.737) Prec@5 81.250 (84.315) Epoch: [75][4720/11272] Time 0.817 (0.789) Data 0.001 (0.002) Loss 1.7110 (1.6503) Prec@1 58.750 (55.738) Prec@5 83.750 (84.314) Epoch: [75][4730/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.6899 (1.6504) Prec@1 52.500 (55.733) Prec@5 85.000 (84.312) Epoch: [75][4740/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.7458 (1.6504) Prec@1 52.500 (55.735) Prec@5 82.500 (84.311) Epoch: [75][4750/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.5626 (1.6503) Prec@1 52.500 (55.737) Prec@5 86.250 (84.313) Epoch: [75][4760/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.7334 (1.6504) Prec@1 58.125 (55.736) Prec@5 83.750 (84.311) Epoch: [75][4770/11272] Time 0.727 (0.789) Data 0.003 (0.002) Loss 1.7221 (1.6506) Prec@1 55.625 (55.730) Prec@5 83.750 (84.311) Epoch: [75][4780/11272] Time 0.734 (0.789) Data 0.002 (0.002) Loss 1.6940 (1.6506) Prec@1 58.125 (55.729) Prec@5 81.875 (84.309) Epoch: [75][4790/11272] Time 0.910 (0.789) Data 0.001 (0.002) Loss 1.5841 (1.6506) Prec@1 58.750 (55.729) Prec@5 83.125 (84.307) Epoch: [75][4800/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.5786 (1.6507) Prec@1 60.000 (55.724) Prec@5 86.875 (84.307) Epoch: [75][4810/11272] Time 0.711 (0.789) Data 0.001 (0.002) Loss 1.6224 (1.6508) Prec@1 59.375 (55.723) Prec@5 84.375 (84.306) Epoch: [75][4820/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.7327 (1.6509) Prec@1 53.750 (55.721) Prec@5 81.250 (84.302) Epoch: [75][4830/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.6855 (1.6510) Prec@1 57.500 (55.719) Prec@5 83.125 (84.301) Epoch: [75][4840/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.8318 (1.6512) Prec@1 51.875 (55.717) Prec@5 81.875 (84.299) Epoch: [75][4850/11272] Time 0.731 (0.789) Data 0.002 (0.002) Loss 1.6041 (1.6510) Prec@1 58.125 (55.721) Prec@5 85.000 (84.301) Epoch: [75][4860/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.4723 (1.6510) Prec@1 58.125 (55.721) Prec@5 88.125 (84.304) Epoch: [75][4870/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.8448 (1.6510) Prec@1 51.875 (55.719) Prec@5 80.625 (84.303) Epoch: [75][4880/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.6639 (1.6511) Prec@1 52.500 (55.714) Prec@5 83.125 (84.301) Epoch: [75][4890/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.4442 (1.6510) Prec@1 61.250 (55.719) Prec@5 85.625 (84.304) Epoch: [75][4900/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.8970 (1.6512) Prec@1 46.875 (55.711) Prec@5 80.625 (84.301) Epoch: [75][4910/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.8481 (1.6513) Prec@1 54.375 (55.712) Prec@5 81.250 (84.300) Epoch: [75][4920/11272] Time 0.754 (0.789) Data 0.001 (0.002) Loss 1.9067 (1.6514) Prec@1 48.750 (55.709) Prec@5 81.250 (84.298) Epoch: [75][4930/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.5867 (1.6515) Prec@1 59.375 (55.710) Prec@5 82.500 (84.296) Epoch: [75][4940/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.5170 (1.6514) Prec@1 57.500 (55.710) Prec@5 83.750 (84.296) Epoch: [75][4950/11272] Time 0.868 (0.789) Data 0.001 (0.002) Loss 1.8325 (1.6516) Prec@1 51.875 (55.707) Prec@5 81.250 (84.293) Epoch: [75][4960/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.7753 (1.6514) Prec@1 50.000 (55.708) Prec@5 81.875 (84.295) Epoch: [75][4970/11272] Time 0.749 (0.789) Data 0.002 (0.002) Loss 1.7442 (1.6516) Prec@1 54.375 (55.702) Prec@5 80.000 (84.293) Epoch: [75][4980/11272] Time 0.888 (0.789) Data 0.002 (0.002) Loss 1.5247 (1.6517) Prec@1 62.500 (55.701) Prec@5 86.250 (84.289) Epoch: [75][4990/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.6698 (1.6517) Prec@1 54.375 (55.704) Prec@5 83.125 (84.287) Epoch: [75][5000/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.9780 (1.6518) Prec@1 48.125 (55.703) Prec@5 78.125 (84.286) Epoch: [75][5010/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 1.5446 (1.6518) Prec@1 57.500 (55.703) Prec@5 86.875 (84.289) Epoch: [75][5020/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 1.6015 (1.6519) Prec@1 53.750 (55.697) Prec@5 85.000 (84.287) Epoch: [75][5030/11272] Time 0.736 (0.789) Data 0.003 (0.002) Loss 1.5506 (1.6520) Prec@1 56.250 (55.693) Prec@5 87.500 (84.286) Epoch: [75][5040/11272] Time 0.734 (0.789) Data 0.002 (0.002) Loss 1.4701 (1.6519) Prec@1 58.125 (55.692) Prec@5 88.750 (84.284) Epoch: [75][5050/11272] Time 0.882 (0.789) Data 0.002 (0.002) Loss 1.5939 (1.6520) Prec@1 56.875 (55.692) Prec@5 82.500 (84.281) Epoch: [75][5060/11272] Time 0.840 (0.789) Data 0.002 (0.002) Loss 1.6839 (1.6520) Prec@1 55.625 (55.690) Prec@5 83.750 (84.280) Epoch: [75][5070/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 1.6466 (1.6521) Prec@1 56.250 (55.690) Prec@5 87.500 (84.281) Epoch: [75][5080/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.6087 (1.6520) Prec@1 56.250 (55.687) Prec@5 85.000 (84.283) Epoch: [75][5090/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.6271 (1.6520) Prec@1 51.875 (55.687) Prec@5 83.750 (84.284) Epoch: [75][5100/11272] Time 0.818 (0.789) Data 0.002 (0.002) Loss 1.6109 (1.6520) Prec@1 56.875 (55.685) Prec@5 85.000 (84.284) Epoch: [75][5110/11272] Time 0.770 (0.789) Data 0.001 (0.002) Loss 1.6922 (1.6521) Prec@1 55.000 (55.682) Prec@5 81.875 (84.281) Epoch: [75][5120/11272] Time 0.755 (0.789) Data 0.001 (0.002) Loss 1.5864 (1.6522) Prec@1 56.875 (55.680) Prec@5 86.875 (84.280) Epoch: [75][5130/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.7615 (1.6522) Prec@1 50.625 (55.681) Prec@5 83.750 (84.279) Epoch: [75][5140/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.6085 (1.6522) Prec@1 56.875 (55.680) Prec@5 83.750 (84.280) Epoch: [75][5150/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.5487 (1.6522) Prec@1 62.500 (55.681) Prec@5 81.875 (84.281) Epoch: [75][5160/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.7511 (1.6522) Prec@1 53.125 (55.679) Prec@5 81.875 (84.279) Epoch: [75][5170/11272] Time 0.883 (0.789) Data 0.002 (0.002) Loss 1.6256 (1.6521) Prec@1 56.875 (55.679) Prec@5 87.500 (84.280) Epoch: [75][5180/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.7231 (1.6521) Prec@1 56.875 (55.678) Prec@5 83.750 (84.280) Epoch: [75][5190/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.8818 (1.6521) Prec@1 48.125 (55.677) Prec@5 83.125 (84.283) Epoch: [75][5200/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.6027 (1.6520) Prec@1 56.250 (55.678) Prec@5 85.000 (84.284) Epoch: [75][5210/11272] Time 0.854 (0.789) Data 0.002 (0.002) Loss 1.6499 (1.6519) Prec@1 55.625 (55.677) Prec@5 83.125 (84.287) Epoch: [75][5220/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.6328 (1.6519) Prec@1 53.125 (55.676) Prec@5 82.500 (84.285) Epoch: [75][5230/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.5218 (1.6519) Prec@1 61.875 (55.675) Prec@5 86.250 (84.283) Epoch: [75][5240/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.6990 (1.6519) Prec@1 53.750 (55.677) Prec@5 85.625 (84.285) Epoch: [75][5250/11272] Time 0.822 (0.789) Data 0.002 (0.002) Loss 1.7259 (1.6519) Prec@1 52.500 (55.673) Prec@5 81.875 (84.283) Epoch: [75][5260/11272] Time 0.689 (0.789) Data 0.001 (0.002) Loss 1.6514 (1.6518) Prec@1 55.625 (55.676) Prec@5 80.625 (84.284) Epoch: [75][5270/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7360 (1.6518) Prec@1 55.625 (55.679) Prec@5 85.000 (84.284) Epoch: [75][5280/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 1.6774 (1.6518) Prec@1 53.125 (55.680) Prec@5 87.500 (84.287) Epoch: [75][5290/11272] Time 0.870 (0.789) Data 0.003 (0.002) Loss 1.6999 (1.6519) Prec@1 58.750 (55.679) Prec@5 82.500 (84.285) Epoch: [75][5300/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4145 (1.6518) Prec@1 65.000 (55.680) Prec@5 85.000 (84.287) Epoch: [75][5310/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.3974 (1.6517) Prec@1 57.500 (55.683) Prec@5 88.125 (84.289) Epoch: [75][5320/11272] Time 0.856 (0.789) Data 0.002 (0.002) Loss 1.4596 (1.6517) Prec@1 60.625 (55.680) Prec@5 88.750 (84.289) Epoch: [75][5330/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.8908 (1.6518) Prec@1 55.000 (55.677) Prec@5 79.375 (84.287) Epoch: [75][5340/11272] Time 0.769 (0.789) Data 0.002 (0.002) Loss 1.6199 (1.6518) Prec@1 51.875 (55.678) Prec@5 84.375 (84.285) Epoch: [75][5350/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.4578 (1.6517) Prec@1 61.250 (55.678) Prec@5 86.250 (84.285) Epoch: [75][5360/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.6351 (1.6518) Prec@1 52.500 (55.677) Prec@5 82.500 (84.284) Epoch: [75][5370/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.6258 (1.6519) Prec@1 55.625 (55.676) Prec@5 84.375 (84.283) Epoch: [75][5380/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.8309 (1.6519) Prec@1 52.500 (55.676) Prec@5 81.875 (84.281) Epoch: [75][5390/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.7216 (1.6518) Prec@1 55.000 (55.682) Prec@5 83.750 (84.282) Epoch: [75][5400/11272] Time 0.867 (0.789) Data 0.002 (0.002) Loss 2.0265 (1.6519) Prec@1 47.500 (55.683) Prec@5 76.875 (84.280) Epoch: [75][5410/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.5979 (1.6519) Prec@1 57.500 (55.683) Prec@5 84.375 (84.278) Epoch: [75][5420/11272] Time 0.721 (0.789) Data 0.002 (0.002) Loss 1.4175 (1.6520) Prec@1 56.875 (55.681) Prec@5 86.250 (84.277) Epoch: [75][5430/11272] Time 0.774 (0.789) Data 0.001 (0.002) Loss 1.5912 (1.6521) Prec@1 53.750 (55.677) Prec@5 87.500 (84.276) Epoch: [75][5440/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.5087 (1.6521) Prec@1 58.750 (55.675) Prec@5 88.125 (84.276) Epoch: [75][5450/11272] Time 0.705 (0.789) Data 0.002 (0.002) Loss 1.6783 (1.6521) Prec@1 55.000 (55.675) Prec@5 83.750 (84.278) Epoch: [75][5460/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.8747 (1.6523) Prec@1 51.875 (55.670) Prec@5 83.125 (84.275) Epoch: [75][5470/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.6819 (1.6523) Prec@1 56.875 (55.670) Prec@5 85.000 (84.274) Epoch: [75][5480/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.7367 (1.6523) Prec@1 51.875 (55.672) Prec@5 82.500 (84.276) Epoch: [75][5490/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.7561 (1.6522) Prec@1 50.625 (55.675) Prec@5 81.875 (84.277) Epoch: [75][5500/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.7991 (1.6523) Prec@1 53.750 (55.676) Prec@5 83.125 (84.276) Epoch: [75][5510/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.5100 (1.6522) Prec@1 60.000 (55.676) Prec@5 88.125 (84.277) Epoch: [75][5520/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.9432 (1.6522) Prec@1 48.750 (55.675) Prec@5 83.125 (84.278) Epoch: [75][5530/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.5980 (1.6523) Prec@1 56.875 (55.674) Prec@5 85.625 (84.275) Epoch: [75][5540/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.6837 (1.6523) Prec@1 53.750 (55.674) Prec@5 81.250 (84.274) Epoch: [75][5550/11272] Time 0.859 (0.789) Data 0.002 (0.002) Loss 1.6935 (1.6523) Prec@1 56.875 (55.670) Prec@5 85.625 (84.274) Epoch: [75][5560/11272] Time 0.747 (0.789) Data 0.002 (0.002) Loss 1.7199 (1.6523) Prec@1 53.125 (55.672) Prec@5 81.875 (84.273) Epoch: [75][5570/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.7465 (1.6524) Prec@1 55.625 (55.671) Prec@5 83.750 (84.271) Epoch: [75][5580/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.7307 (1.6524) Prec@1 53.125 (55.673) Prec@5 85.000 (84.270) Epoch: [75][5590/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4035 (1.6523) Prec@1 60.000 (55.675) Prec@5 88.750 (84.271) Epoch: [75][5600/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.5588 (1.6524) Prec@1 58.125 (55.674) Prec@5 84.375 (84.272) Epoch: [75][5610/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 1.6046 (1.6524) Prec@1 59.375 (55.677) Prec@5 86.875 (84.273) Epoch: [75][5620/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.7343 (1.6525) Prec@1 52.500 (55.677) Prec@5 86.250 (84.271) Epoch: [75][5630/11272] Time 0.752 (0.789) Data 0.002 (0.002) Loss 1.5665 (1.6526) Prec@1 58.125 (55.673) Prec@5 81.875 (84.267) Epoch: [75][5640/11272] Time 0.762 (0.789) Data 0.002 (0.002) Loss 1.6198 (1.6527) Prec@1 56.875 (55.671) Prec@5 83.750 (84.264) Epoch: [75][5650/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.5613 (1.6528) Prec@1 63.750 (55.672) Prec@5 86.250 (84.264) Epoch: [75][5660/11272] Time 0.804 (0.789) Data 0.001 (0.002) Loss 1.8086 (1.6528) Prec@1 49.375 (55.672) Prec@5 79.375 (84.263) Epoch: [75][5670/11272] Time 0.698 (0.789) Data 0.001 (0.002) Loss 1.6170 (1.6528) Prec@1 53.750 (55.669) Prec@5 85.625 (84.261) Epoch: [75][5680/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.4252 (1.6528) Prec@1 63.750 (55.671) Prec@5 85.000 (84.263) Epoch: [75][5690/11272] Time 0.878 (0.789) Data 0.001 (0.002) Loss 1.2943 (1.6527) Prec@1 63.750 (55.674) Prec@5 90.000 (84.265) Epoch: [75][5700/11272] Time 0.754 (0.789) Data 0.003 (0.002) Loss 1.7081 (1.6527) Prec@1 56.875 (55.675) Prec@5 84.375 (84.264) Epoch: [75][5710/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.7879 (1.6527) Prec@1 51.250 (55.675) Prec@5 83.125 (84.264) Epoch: [75][5720/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.8191 (1.6528) Prec@1 53.750 (55.674) Prec@5 82.500 (84.263) Epoch: [75][5730/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.6083 (1.6528) Prec@1 51.875 (55.671) Prec@5 85.625 (84.263) Epoch: [75][5740/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.5600 (1.6527) Prec@1 55.625 (55.673) Prec@5 86.250 (84.265) Epoch: [75][5750/11272] Time 0.746 (0.789) Data 0.002 (0.002) Loss 1.6712 (1.6527) Prec@1 55.000 (55.674) Prec@5 86.250 (84.265) Epoch: [75][5760/11272] Time 0.818 (0.789) Data 0.002 (0.002) Loss 1.6920 (1.6528) Prec@1 52.500 (55.668) Prec@5 83.125 (84.263) Epoch: [75][5770/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.6909 (1.6528) Prec@1 50.625 (55.668) Prec@5 80.625 (84.262) Epoch: [75][5780/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.9314 (1.6529) Prec@1 53.750 (55.668) Prec@5 76.250 (84.257) Epoch: [75][5790/11272] Time 0.759 (0.789) Data 0.002 (0.002) Loss 1.6763 (1.6529) Prec@1 56.250 (55.670) Prec@5 83.125 (84.258) Epoch: [75][5800/11272] Time 0.867 (0.789) Data 0.002 (0.002) Loss 1.6103 (1.6529) Prec@1 60.000 (55.669) Prec@5 84.375 (84.258) Epoch: [75][5810/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.6139 (1.6530) Prec@1 58.125 (55.667) Prec@5 85.000 (84.258) Epoch: [75][5820/11272] Time 0.747 (0.789) Data 0.001 (0.002) Loss 1.4203 (1.6529) Prec@1 65.625 (55.671) Prec@5 86.250 (84.260) Epoch: [75][5830/11272] Time 0.892 (0.789) Data 0.002 (0.002) Loss 1.6509 (1.6528) Prec@1 58.750 (55.674) Prec@5 83.125 (84.261) Epoch: [75][5840/11272] Time 0.799 (0.789) Data 0.001 (0.002) Loss 1.6273 (1.6530) Prec@1 60.000 (55.671) Prec@5 87.500 (84.258) Epoch: [75][5850/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.8018 (1.6531) Prec@1 48.750 (55.672) Prec@5 83.750 (84.258) Epoch: [75][5860/11272] Time 0.708 (0.789) Data 0.002 (0.002) Loss 1.6879 (1.6531) Prec@1 55.000 (55.672) Prec@5 81.875 (84.257) Epoch: [75][5870/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.6496 (1.6530) Prec@1 55.625 (55.672) Prec@5 85.625 (84.257) Epoch: [75][5880/11272] Time 0.846 (0.789) Data 0.002 (0.002) Loss 1.5399 (1.6531) Prec@1 60.000 (55.670) Prec@5 85.000 (84.256) Epoch: [75][5890/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.5292 (1.6530) Prec@1 58.750 (55.670) Prec@5 85.625 (84.258) Epoch: [75][5900/11272] Time 0.754 (0.789) Data 0.001 (0.002) Loss 1.7257 (1.6532) Prec@1 53.750 (55.668) Prec@5 83.750 (84.256) Epoch: [75][5910/11272] Time 0.860 (0.789) Data 0.003 (0.002) Loss 1.7558 (1.6532) Prec@1 51.250 (55.668) Prec@5 81.250 (84.256) Epoch: [75][5920/11272] Time 0.858 (0.789) Data 0.002 (0.002) Loss 1.4858 (1.6531) Prec@1 56.250 (55.671) Prec@5 85.625 (84.259) Epoch: [75][5930/11272] Time 0.776 (0.789) Data 0.002 (0.002) Loss 1.9060 (1.6531) Prec@1 45.625 (55.670) Prec@5 80.000 (84.260) Epoch: [75][5940/11272] Time 0.752 (0.789) Data 0.002 (0.002) Loss 1.5684 (1.6531) Prec@1 56.875 (55.667) Prec@5 85.625 (84.261) Epoch: [75][5950/11272] Time 0.825 (0.789) Data 0.002 (0.002) Loss 1.3749 (1.6530) Prec@1 61.250 (55.666) Prec@5 90.625 (84.264) Epoch: [75][5960/11272] Time 0.712 (0.789) Data 0.003 (0.002) Loss 1.7150 (1.6530) Prec@1 54.375 (55.666) Prec@5 81.250 (84.264) Epoch: [75][5970/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.6286 (1.6530) Prec@1 53.750 (55.667) Prec@5 85.625 (84.264) Epoch: [75][5980/11272] Time 0.788 (0.789) Data 0.001 (0.002) Loss 1.6185 (1.6529) Prec@1 51.875 (55.671) Prec@5 86.875 (84.267) Epoch: [75][5990/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 1.7513 (1.6529) Prec@1 52.500 (55.669) Prec@5 81.250 (84.267) Epoch: [75][6000/11272] Time 0.744 (0.789) Data 0.002 (0.002) Loss 1.7091 (1.6529) Prec@1 56.875 (55.666) Prec@5 80.625 (84.266) Epoch: [75][6010/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.9799 (1.6530) Prec@1 48.750 (55.663) Prec@5 81.250 (84.265) Epoch: [75][6020/11272] Time 0.871 (0.789) Data 0.002 (0.002) Loss 1.6522 (1.6530) Prec@1 53.750 (55.667) Prec@5 83.125 (84.266) Epoch: [75][6030/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.7307 (1.6528) Prec@1 53.750 (55.670) Prec@5 81.250 (84.269) Epoch: [75][6040/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.7023 (1.6528) Prec@1 50.000 (55.666) Prec@5 87.500 (84.270) Epoch: [75][6050/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.4165 (1.6527) Prec@1 62.500 (55.670) Prec@5 86.250 (84.274) Epoch: [75][6060/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.8283 (1.6527) Prec@1 50.000 (55.668) Prec@5 83.750 (84.275) Epoch: [75][6070/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.5746 (1.6526) Prec@1 57.500 (55.669) Prec@5 85.625 (84.278) Epoch: [75][6080/11272] Time 0.779 (0.789) Data 0.002 (0.002) Loss 1.5624 (1.6526) Prec@1 52.500 (55.667) Prec@5 88.125 (84.276) Epoch: [75][6090/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.8149 (1.6526) Prec@1 53.125 (55.667) Prec@5 80.625 (84.277) Epoch: [75][6100/11272] Time 0.907 (0.789) Data 0.003 (0.002) Loss 1.6330 (1.6528) Prec@1 53.750 (55.662) Prec@5 86.875 (84.275) Epoch: [75][6110/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.8360 (1.6528) Prec@1 50.625 (55.663) Prec@5 81.875 (84.276) Epoch: [75][6120/11272] Time 0.746 (0.789) Data 0.002 (0.002) Loss 1.6294 (1.6527) Prec@1 56.875 (55.664) Prec@5 82.500 (84.278) Epoch: [75][6130/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.6726 (1.6528) Prec@1 53.125 (55.665) Prec@5 83.750 (84.275) Epoch: [75][6140/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.8277 (1.6529) Prec@1 53.750 (55.666) Prec@5 81.875 (84.275) Epoch: [75][6150/11272] Time 0.721 (0.789) Data 0.002 (0.002) Loss 1.6643 (1.6528) Prec@1 56.875 (55.667) Prec@5 81.875 (84.276) Epoch: [75][6160/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.5228 (1.6528) Prec@1 60.625 (55.667) Prec@5 91.250 (84.275) Epoch: [75][6170/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.9267 (1.6528) Prec@1 50.625 (55.668) Prec@5 78.750 (84.276) Epoch: [75][6180/11272] Time 0.813 (0.789) Data 0.002 (0.002) Loss 1.6092 (1.6527) Prec@1 59.375 (55.671) Prec@5 83.125 (84.277) Epoch: [75][6190/11272] Time 0.762 (0.789) Data 0.002 (0.002) Loss 1.5744 (1.6526) Prec@1 56.250 (55.672) Prec@5 86.250 (84.277) Epoch: [75][6200/11272] Time 0.713 (0.789) Data 0.002 (0.002) Loss 1.6801 (1.6526) Prec@1 48.125 (55.671) Prec@5 79.375 (84.278) Epoch: [75][6210/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.4208 (1.6526) Prec@1 56.875 (55.671) Prec@5 86.250 (84.279) Epoch: [75][6220/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.7449 (1.6525) Prec@1 54.375 (55.674) Prec@5 85.000 (84.281) Epoch: [75][6230/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.4778 (1.6525) Prec@1 56.875 (55.674) Prec@5 88.750 (84.279) Epoch: [75][6240/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.6856 (1.6526) Prec@1 56.875 (55.670) Prec@5 86.250 (84.278) Epoch: [75][6250/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.5655 (1.6526) Prec@1 61.250 (55.672) Prec@5 85.625 (84.279) Epoch: [75][6260/11272] Time 0.708 (0.788) Data 0.002 (0.002) Loss 1.6155 (1.6526) Prec@1 60.625 (55.671) Prec@5 84.375 (84.280) Epoch: [75][6270/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.7713 (1.6526) Prec@1 50.000 (55.669) Prec@5 81.250 (84.279) Epoch: [75][6280/11272] Time 0.825 (0.788) Data 0.001 (0.002) Loss 1.6816 (1.6527) Prec@1 50.625 (55.667) Prec@5 81.250 (84.278) Epoch: [75][6290/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.8078 (1.6526) Prec@1 50.000 (55.668) Prec@5 82.500 (84.281) Epoch: [75][6300/11272] Time 0.744 (0.789) Data 0.002 (0.002) Loss 1.6104 (1.6527) Prec@1 59.375 (55.665) Prec@5 86.250 (84.280) Epoch: [75][6310/11272] Time 0.714 (0.788) Data 0.001 (0.002) Loss 1.4823 (1.6527) Prec@1 57.500 (55.666) Prec@5 86.875 (84.281) Epoch: [75][6320/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.8606 (1.6526) Prec@1 50.000 (55.669) Prec@5 77.500 (84.280) Epoch: [75][6330/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.6687 (1.6526) Prec@1 55.000 (55.669) Prec@5 82.500 (84.280) Epoch: [75][6340/11272] Time 0.750 (0.789) Data 0.002 (0.002) Loss 1.5645 (1.6527) Prec@1 56.875 (55.670) Prec@5 86.250 (84.279) Epoch: [75][6350/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.3899 (1.6526) Prec@1 61.250 (55.671) Prec@5 90.625 (84.279) Epoch: [75][6360/11272] Time 0.869 (0.788) Data 0.001 (0.002) Loss 1.5928 (1.6525) Prec@1 53.125 (55.673) Prec@5 88.125 (84.280) Epoch: [75][6370/11272] Time 0.693 (0.788) Data 0.001 (0.002) Loss 1.3764 (1.6524) Prec@1 61.250 (55.676) Prec@5 88.125 (84.284) Epoch: [75][6380/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.6052 (1.6523) Prec@1 59.375 (55.676) Prec@5 84.375 (84.284) Epoch: [75][6390/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 1.5094 (1.6522) Prec@1 56.250 (55.679) Prec@5 88.125 (84.287) Epoch: [75][6400/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.6199 (1.6521) Prec@1 56.250 (55.681) Prec@5 83.125 (84.288) Epoch: [75][6410/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.7086 (1.6521) Prec@1 53.125 (55.679) Prec@5 83.750 (84.287) Epoch: [75][6420/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.8223 (1.6522) Prec@1 48.750 (55.676) Prec@5 83.125 (84.287) Epoch: [75][6430/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.6059 (1.6522) Prec@1 56.250 (55.675) Prec@5 86.250 (84.286) Epoch: [75][6440/11272] Time 0.815 (0.789) Data 0.002 (0.002) Loss 1.6566 (1.6521) Prec@1 60.625 (55.677) Prec@5 84.375 (84.288) Epoch: [75][6450/11272] Time 0.756 (0.788) Data 0.001 (0.002) Loss 1.5378 (1.6521) Prec@1 58.750 (55.677) Prec@5 87.500 (84.287) Epoch: [75][6460/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.5013 (1.6522) Prec@1 51.875 (55.676) Prec@5 86.250 (84.287) Epoch: [75][6470/11272] Time 0.850 (0.788) Data 0.001 (0.002) Loss 1.7716 (1.6522) Prec@1 55.625 (55.675) Prec@5 81.875 (84.287) Epoch: [75][6480/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.6475 (1.6522) Prec@1 55.000 (55.675) Prec@5 88.125 (84.287) Epoch: [75][6490/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.8418 (1.6522) Prec@1 54.375 (55.675) Prec@5 79.375 (84.287) Epoch: [75][6500/11272] Time 0.797 (0.788) Data 0.001 (0.002) Loss 1.6083 (1.6523) Prec@1 56.875 (55.671) Prec@5 83.125 (84.284) Epoch: [75][6510/11272] Time 0.862 (0.788) Data 0.001 (0.002) Loss 1.7375 (1.6523) Prec@1 56.875 (55.673) Prec@5 83.750 (84.282) Epoch: [75][6520/11272] Time 0.742 (0.788) Data 0.001 (0.002) Loss 1.6034 (1.6523) Prec@1 62.500 (55.676) Prec@5 83.750 (84.282) Epoch: [75][6530/11272] Time 0.727 (0.788) Data 0.002 (0.002) Loss 1.6940 (1.6524) Prec@1 51.875 (55.671) Prec@5 87.500 (84.281) Epoch: [75][6540/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 1.9819 (1.6525) Prec@1 45.625 (55.668) Prec@5 83.125 (84.280) Epoch: [75][6550/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.6552 (1.6524) Prec@1 54.375 (55.668) Prec@5 84.375 (84.281) Epoch: [75][6560/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.4759 (1.6523) Prec@1 56.250 (55.671) Prec@5 89.375 (84.282) Epoch: [75][6570/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.6608 (1.6523) Prec@1 60.625 (55.672) Prec@5 81.250 (84.284) Epoch: [75][6580/11272] Time 0.821 (0.788) Data 0.001 (0.002) Loss 1.6416 (1.6523) Prec@1 55.625 (55.671) Prec@5 85.625 (84.284) Epoch: [75][6590/11272] Time 0.819 (0.788) Data 0.002 (0.002) Loss 1.8392 (1.6524) Prec@1 49.375 (55.669) Prec@5 83.125 (84.283) Epoch: [75][6600/11272] Time 0.697 (0.788) Data 0.002 (0.002) Loss 1.6074 (1.6525) Prec@1 56.250 (55.667) Prec@5 84.375 (84.282) Epoch: [75][6610/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.7075 (1.6525) Prec@1 56.250 (55.668) Prec@5 80.625 (84.282) Epoch: [75][6620/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.5870 (1.6525) Prec@1 59.375 (55.669) Prec@5 84.375 (84.282) Epoch: [75][6630/11272] Time 0.729 (0.788) Data 0.003 (0.002) Loss 1.6169 (1.6525) Prec@1 58.750 (55.668) Prec@5 81.875 (84.281) Epoch: [75][6640/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.5506 (1.6526) Prec@1 58.125 (55.667) Prec@5 86.250 (84.279) Epoch: [75][6650/11272] Time 0.834 (0.788) Data 0.002 (0.002) Loss 1.9107 (1.6527) Prec@1 47.500 (55.663) Prec@5 79.375 (84.276) Epoch: [75][6660/11272] Time 0.790 (0.788) Data 0.001 (0.002) Loss 1.5212 (1.6527) Prec@1 58.750 (55.660) Prec@5 88.125 (84.276) Epoch: [75][6670/11272] Time 0.700 (0.788) Data 0.001 (0.002) Loss 1.7614 (1.6527) Prec@1 53.125 (55.659) Prec@5 85.625 (84.278) Epoch: [75][6680/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 1.4045 (1.6526) Prec@1 62.500 (55.661) Prec@5 87.500 (84.279) Epoch: [75][6690/11272] Time 0.860 (0.788) Data 0.002 (0.002) Loss 1.3917 (1.6526) Prec@1 62.500 (55.662) Prec@5 86.875 (84.280) Epoch: [75][6700/11272] Time 0.816 (0.788) Data 0.001 (0.002) Loss 1.8229 (1.6527) Prec@1 48.750 (55.660) Prec@5 82.500 (84.278) Epoch: [75][6710/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.6454 (1.6527) Prec@1 53.750 (55.661) Prec@5 85.000 (84.278) Epoch: [75][6720/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.7613 (1.6527) Prec@1 54.375 (55.661) Prec@5 82.500 (84.278) Epoch: [75][6730/11272] Time 0.796 (0.788) Data 0.001 (0.002) Loss 1.3893 (1.6527) Prec@1 61.875 (55.660) Prec@5 88.750 (84.278) Epoch: [75][6740/11272] Time 0.876 (0.788) Data 0.002 (0.002) Loss 1.8933 (1.6528) Prec@1 44.375 (55.659) Prec@5 81.250 (84.276) Epoch: [75][6750/11272] Time 0.769 (0.788) Data 0.002 (0.002) Loss 1.6658 (1.6527) Prec@1 53.750 (55.664) Prec@5 84.375 (84.278) Epoch: [75][6760/11272] Time 0.834 (0.788) Data 0.002 (0.002) Loss 1.7250 (1.6527) Prec@1 50.000 (55.663) Prec@5 86.875 (84.278) Epoch: [75][6770/11272] Time 0.903 (0.788) Data 0.002 (0.002) Loss 1.5064 (1.6527) Prec@1 55.625 (55.663) Prec@5 91.875 (84.278) Epoch: [75][6780/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 1.4177 (1.6527) Prec@1 61.250 (55.664) Prec@5 89.375 (84.279) Epoch: [75][6790/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 1.7465 (1.6526) Prec@1 52.500 (55.664) Prec@5 81.875 (84.279) Epoch: [75][6800/11272] Time 0.809 (0.788) Data 0.001 (0.002) Loss 1.7079 (1.6526) Prec@1 58.750 (55.665) Prec@5 85.000 (84.279) Epoch: [75][6810/11272] Time 0.828 (0.788) Data 0.002 (0.002) Loss 1.5507 (1.6526) Prec@1 56.875 (55.666) Prec@5 86.875 (84.279) Epoch: [75][6820/11272] Time 0.754 (0.788) Data 0.001 (0.002) Loss 1.4988 (1.6527) Prec@1 58.125 (55.664) Prec@5 87.500 (84.278) Epoch: [75][6830/11272] Time 0.737 (0.788) Data 0.001 (0.002) Loss 1.5289 (1.6527) Prec@1 55.000 (55.666) Prec@5 88.125 (84.276) Epoch: [75][6840/11272] Time 0.831 (0.788) Data 0.002 (0.002) Loss 1.5887 (1.6527) Prec@1 56.875 (55.666) Prec@5 85.625 (84.278) Epoch: [75][6850/11272] Time 0.867 (0.788) Data 0.002 (0.002) Loss 1.4638 (1.6526) Prec@1 62.500 (55.667) Prec@5 86.250 (84.279) Epoch: [75][6860/11272] Time 0.762 (0.788) Data 0.002 (0.002) Loss 1.6492 (1.6526) Prec@1 55.000 (55.667) Prec@5 85.000 (84.280) Epoch: [75][6870/11272] Time 0.761 (0.788) Data 0.002 (0.002) Loss 1.7558 (1.6526) Prec@1 55.000 (55.666) Prec@5 81.875 (84.281) Epoch: [75][6880/11272] Time 0.870 (0.788) Data 0.002 (0.002) Loss 1.5605 (1.6527) Prec@1 61.250 (55.667) Prec@5 88.125 (84.280) Epoch: [75][6890/11272] Time 0.732 (0.788) Data 0.003 (0.002) Loss 1.6471 (1.6526) Prec@1 59.375 (55.668) Prec@5 83.750 (84.280) Epoch: [75][6900/11272] Time 0.733 (0.788) Data 0.002 (0.002) Loss 1.6758 (1.6526) Prec@1 55.625 (55.669) Prec@5 78.750 (84.281) Epoch: [75][6910/11272] Time 0.869 (0.788) Data 0.002 (0.002) Loss 1.8590 (1.6526) Prec@1 55.000 (55.670) Prec@5 81.250 (84.280) Epoch: [75][6920/11272] Time 0.819 (0.788) Data 0.001 (0.002) Loss 1.7156 (1.6526) Prec@1 56.875 (55.670) Prec@5 80.625 (84.281) Epoch: [75][6930/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.5785 (1.6526) Prec@1 60.000 (55.672) Prec@5 86.250 (84.281) Epoch: [75][6940/11272] Time 0.700 (0.788) Data 0.001 (0.002) Loss 1.7229 (1.6527) Prec@1 60.000 (55.672) Prec@5 80.000 (84.278) Epoch: [75][6950/11272] Time 0.839 (0.788) Data 0.002 (0.002) Loss 1.5644 (1.6527) Prec@1 54.375 (55.671) Prec@5 85.625 (84.277) Epoch: [75][6960/11272] Time 0.845 (0.788) Data 0.002 (0.002) Loss 1.4519 (1.6528) Prec@1 57.500 (55.668) Prec@5 86.875 (84.277) Epoch: [75][6970/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.4669 (1.6528) Prec@1 58.125 (55.669) Prec@5 89.375 (84.277) Epoch: [75][6980/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.7142 (1.6528) Prec@1 48.125 (55.667) Prec@5 85.625 (84.276) Epoch: [75][6990/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 1.6032 (1.6528) Prec@1 55.625 (55.667) Prec@5 86.875 (84.275) Epoch: [75][7000/11272] Time 0.851 (0.788) Data 0.002 (0.002) Loss 1.6680 (1.6529) Prec@1 53.750 (55.666) Prec@5 85.000 (84.274) Epoch: [75][7010/11272] Time 0.737 (0.788) Data 0.001 (0.002) Loss 1.8288 (1.6529) Prec@1 50.625 (55.663) Prec@5 81.250 (84.273) Epoch: [75][7020/11272] Time 0.817 (0.788) Data 0.001 (0.002) Loss 1.7698 (1.6529) Prec@1 50.625 (55.664) Prec@5 83.125 (84.274) Epoch: [75][7030/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 1.6883 (1.6530) Prec@1 57.500 (55.662) Prec@5 85.625 (84.272) Epoch: [75][7040/11272] Time 0.740 (0.788) Data 0.001 (0.002) Loss 1.5617 (1.6531) Prec@1 58.125 (55.664) Prec@5 86.250 (84.271) Epoch: [75][7050/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.4581 (1.6531) Prec@1 61.250 (55.665) Prec@5 85.625 (84.270) Epoch: [75][7060/11272] Time 0.852 (0.788) Data 0.002 (0.002) Loss 1.5334 (1.6530) Prec@1 53.125 (55.665) Prec@5 86.250 (84.272) Epoch: [75][7070/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 1.5363 (1.6531) Prec@1 60.000 (55.666) Prec@5 87.500 (84.271) Epoch: [75][7080/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.6251 (1.6531) Prec@1 55.000 (55.664) Prec@5 83.125 (84.271) Epoch: [75][7090/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.7955 (1.6532) Prec@1 49.375 (55.659) Prec@5 83.125 (84.269) Epoch: [75][7100/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.6307 (1.6533) Prec@1 56.250 (55.659) Prec@5 85.000 (84.268) Epoch: [75][7110/11272] Time 0.843 (0.788) Data 0.002 (0.002) Loss 1.7694 (1.6532) Prec@1 50.625 (55.660) Prec@5 81.875 (84.270) Epoch: [75][7120/11272] Time 0.704 (0.788) Data 0.002 (0.002) Loss 1.6031 (1.6532) Prec@1 60.625 (55.663) Prec@5 86.875 (84.270) Epoch: [75][7130/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.9247 (1.6532) Prec@1 46.875 (55.659) Prec@5 78.750 (84.271) Epoch: [75][7140/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 1.4674 (1.6533) Prec@1 60.000 (55.659) Prec@5 88.125 (84.269) Epoch: [75][7150/11272] Time 0.842 (0.788) Data 0.002 (0.002) Loss 1.7179 (1.6534) Prec@1 55.625 (55.657) Prec@5 83.750 (84.268) Epoch: [75][7160/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.6451 (1.6534) Prec@1 55.000 (55.655) Prec@5 84.375 (84.270) Epoch: [75][7170/11272] Time 0.828 (0.788) Data 0.002 (0.002) Loss 1.4502 (1.6533) Prec@1 60.000 (55.657) Prec@5 88.125 (84.271) Epoch: [75][7180/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.4576 (1.6532) Prec@1 58.750 (55.657) Prec@5 86.875 (84.273) Epoch: [75][7190/11272] Time 0.772 (0.788) Data 0.002 (0.002) Loss 1.5089 (1.6532) Prec@1 61.875 (55.660) Prec@5 86.875 (84.273) Epoch: [75][7200/11272] Time 0.752 (0.788) Data 0.002 (0.002) Loss 1.4384 (1.6532) Prec@1 56.875 (55.661) Prec@5 86.875 (84.272) Epoch: [75][7210/11272] Time 0.843 (0.788) Data 0.002 (0.002) Loss 1.7055 (1.6532) Prec@1 57.500 (55.659) Prec@5 85.625 (84.272) Epoch: [75][7220/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.6427 (1.6532) Prec@1 56.250 (55.658) Prec@5 81.250 (84.271) Epoch: [75][7230/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.7737 (1.6533) Prec@1 55.000 (55.658) Prec@5 81.875 (84.271) Epoch: [75][7240/11272] Time 0.700 (0.788) Data 0.002 (0.002) Loss 1.6393 (1.6533) Prec@1 56.875 (55.657) Prec@5 85.000 (84.270) Epoch: [75][7250/11272] Time 0.815 (0.788) Data 0.001 (0.002) Loss 1.6177 (1.6533) Prec@1 55.625 (55.657) Prec@5 82.500 (84.270) Epoch: [75][7260/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 1.7531 (1.6532) Prec@1 51.875 (55.657) Prec@5 83.125 (84.272) Epoch: [75][7270/11272] Time 0.735 (0.788) Data 0.001 (0.002) Loss 1.8982 (1.6532) Prec@1 51.250 (55.656) Prec@5 78.125 (84.272) Epoch: [75][7280/11272] Time 0.780 (0.788) Data 0.002 (0.002) Loss 1.6897 (1.6532) Prec@1 55.625 (55.656) Prec@5 85.000 (84.273) Epoch: [75][7290/11272] Time 0.852 (0.788) Data 0.001 (0.002) Loss 1.7455 (1.6532) Prec@1 50.625 (55.653) Prec@5 83.125 (84.272) Epoch: [75][7300/11272] Time 0.724 (0.788) Data 0.001 (0.002) Loss 1.8483 (1.6533) Prec@1 52.500 (55.649) Prec@5 77.500 (84.271) Epoch: [75][7310/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.7465 (1.6534) Prec@1 51.250 (55.649) Prec@5 85.000 (84.269) Epoch: [75][7320/11272] Time 0.843 (0.788) Data 0.002 (0.002) Loss 1.5380 (1.6533) Prec@1 56.875 (55.652) Prec@5 89.375 (84.269) Epoch: [75][7330/11272] Time 0.809 (0.788) Data 0.002 (0.002) Loss 1.9642 (1.6533) Prec@1 46.250 (55.652) Prec@5 80.625 (84.270) Epoch: [75][7340/11272] Time 0.749 (0.788) Data 0.002 (0.002) Loss 1.4715 (1.6533) Prec@1 61.875 (55.651) Prec@5 87.500 (84.271) Epoch: [75][7350/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.8341 (1.6534) Prec@1 51.875 (55.650) Prec@5 82.500 (84.271) Epoch: [75][7360/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.7335 (1.6533) Prec@1 51.250 (55.651) Prec@5 80.625 (84.270) Epoch: [75][7370/11272] Time 0.875 (0.788) Data 0.001 (0.002) Loss 1.8162 (1.6534) Prec@1 55.625 (55.649) Prec@5 83.750 (84.270) Epoch: [75][7380/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.5965 (1.6535) Prec@1 50.000 (55.646) Prec@5 85.000 (84.266) Epoch: [75][7390/11272] Time 0.717 (0.788) Data 0.001 (0.002) Loss 1.7036 (1.6535) Prec@1 55.625 (55.648) Prec@5 83.125 (84.266) Epoch: [75][7400/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 1.8294 (1.6535) Prec@1 53.125 (55.647) Prec@5 76.875 (84.263) Epoch: [75][7410/11272] Time 0.826 (0.788) Data 0.002 (0.002) Loss 1.8424 (1.6535) Prec@1 51.250 (55.648) Prec@5 80.000 (84.263) Epoch: [75][7420/11272] Time 0.714 (0.788) Data 0.001 (0.002) Loss 1.8554 (1.6536) Prec@1 55.000 (55.647) Prec@5 77.500 (84.262) Epoch: [75][7430/11272] Time 0.837 (0.788) Data 0.001 (0.002) Loss 1.4459 (1.6536) Prec@1 59.375 (55.645) Prec@5 85.625 (84.259) Epoch: [75][7440/11272] Time 0.814 (0.788) Data 0.002 (0.002) Loss 1.4076 (1.6536) Prec@1 58.750 (55.646) Prec@5 89.375 (84.260) Epoch: [75][7450/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.7734 (1.6537) Prec@1 52.500 (55.644) Prec@5 81.250 (84.259) Epoch: [75][7460/11272] Time 0.727 (0.788) Data 0.001 (0.002) Loss 1.4157 (1.6537) Prec@1 58.750 (55.643) Prec@5 86.875 (84.259) Epoch: [75][7470/11272] Time 0.940 (0.788) Data 0.002 (0.002) Loss 1.8065 (1.6537) Prec@1 53.750 (55.644) Prec@5 81.875 (84.258) Epoch: [75][7480/11272] Time 0.824 (0.788) Data 0.002 (0.002) Loss 1.9074 (1.6538) Prec@1 46.250 (55.642) Prec@5 81.875 (84.257) Epoch: [75][7490/11272] Time 0.755 (0.788) Data 0.002 (0.002) Loss 1.6975 (1.6538) Prec@1 51.250 (55.641) Prec@5 85.000 (84.256) Epoch: [75][7500/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.4618 (1.6539) Prec@1 58.125 (55.640) Prec@5 91.250 (84.255) Epoch: [75][7510/11272] Time 0.859 (0.788) Data 0.002 (0.002) Loss 1.7466 (1.6538) Prec@1 59.375 (55.641) Prec@5 83.750 (84.255) Epoch: [75][7520/11272] Time 0.842 (0.788) Data 0.002 (0.002) Loss 1.5826 (1.6539) Prec@1 55.625 (55.640) Prec@5 83.750 (84.254) Epoch: [75][7530/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.7478 (1.6539) Prec@1 54.375 (55.640) Prec@5 84.375 (84.254) Epoch: [75][7540/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 1.6144 (1.6538) Prec@1 58.750 (55.641) Prec@5 85.625 (84.255) Epoch: [75][7550/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 1.6618 (1.6539) Prec@1 57.500 (55.642) Prec@5 84.375 (84.255) Epoch: [75][7560/11272] Time 0.741 (0.788) Data 0.003 (0.002) Loss 1.7393 (1.6539) Prec@1 53.125 (55.641) Prec@5 83.750 (84.255) Epoch: [75][7570/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.7950 (1.6539) Prec@1 49.375 (55.640) Prec@5 83.750 (84.255) Epoch: [75][7580/11272] Time 0.825 (0.788) Data 0.001 (0.002) Loss 1.7163 (1.6540) Prec@1 53.750 (55.639) Prec@5 81.250 (84.254) Epoch: [75][7590/11272] Time 0.821 (0.788) Data 0.002 (0.002) Loss 1.5448 (1.6539) Prec@1 61.250 (55.640) Prec@5 85.625 (84.255) Epoch: [75][7600/11272] Time 0.753 (0.788) Data 0.003 (0.002) Loss 1.7978 (1.6539) Prec@1 50.625 (55.641) Prec@5 80.000 (84.256) Epoch: [75][7610/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 1.4795 (1.6538) Prec@1 60.000 (55.643) Prec@5 85.625 (84.256) Epoch: [75][7620/11272] Time 0.811 (0.788) Data 0.001 (0.002) Loss 1.7121 (1.6538) Prec@1 55.625 (55.643) Prec@5 85.000 (84.257) Epoch: [75][7630/11272] Time 0.833 (0.788) Data 0.002 (0.002) Loss 1.6910 (1.6538) Prec@1 56.250 (55.643) Prec@5 83.125 (84.258) Epoch: [75][7640/11272] Time 0.752 (0.788) Data 0.002 (0.002) Loss 1.4441 (1.6539) Prec@1 66.875 (55.643) Prec@5 87.500 (84.257) Epoch: [75][7650/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.7426 (1.6538) Prec@1 52.500 (55.644) Prec@5 82.500 (84.256) Epoch: [75][7660/11272] Time 0.855 (0.788) Data 0.002 (0.002) Loss 1.3548 (1.6538) Prec@1 58.125 (55.645) Prec@5 88.125 (84.256) Epoch: [75][7670/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.7359 (1.6538) Prec@1 52.500 (55.647) Prec@5 83.125 (84.257) Epoch: [75][7680/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 1.6397 (1.6539) Prec@1 55.625 (55.644) Prec@5 83.125 (84.255) Epoch: [75][7690/11272] Time 0.808 (0.788) Data 0.003 (0.002) Loss 1.6198 (1.6538) Prec@1 58.750 (55.645) Prec@5 85.000 (84.257) Epoch: [75][7700/11272] Time 0.857 (0.788) Data 0.002 (0.002) Loss 1.6249 (1.6537) Prec@1 53.750 (55.647) Prec@5 85.000 (84.257) Epoch: [75][7710/11272] Time 0.809 (0.788) Data 0.003 (0.002) Loss 1.4240 (1.6537) Prec@1 62.500 (55.647) Prec@5 86.250 (84.257) Epoch: [75][7720/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.7650 (1.6537) Prec@1 51.250 (55.648) Prec@5 80.000 (84.257) Epoch: [75][7730/11272] Time 0.828 (0.788) Data 0.001 (0.002) Loss 1.6019 (1.6536) Prec@1 55.625 (55.650) Prec@5 84.375 (84.260) Epoch: [75][7740/11272] Time 0.888 (0.788) Data 0.002 (0.002) Loss 1.5571 (1.6536) Prec@1 56.875 (55.652) Prec@5 86.875 (84.260) Epoch: [75][7750/11272] Time 0.747 (0.788) Data 0.001 (0.002) Loss 1.5322 (1.6536) Prec@1 60.625 (55.652) Prec@5 90.000 (84.261) Epoch: [75][7760/11272] Time 0.711 (0.788) Data 0.002 (0.002) Loss 1.7651 (1.6536) Prec@1 50.625 (55.650) Prec@5 79.375 (84.262) Epoch: [75][7770/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.7914 (1.6536) Prec@1 50.625 (55.650) Prec@5 83.750 (84.263) Epoch: [75][7780/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.6080 (1.6537) Prec@1 51.875 (55.648) Prec@5 86.875 (84.262) Epoch: [75][7790/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.5652 (1.6537) Prec@1 54.375 (55.647) Prec@5 88.750 (84.263) Epoch: [75][7800/11272] Time 0.777 (0.788) Data 0.002 (0.002) Loss 1.7773 (1.6537) Prec@1 46.875 (55.645) Prec@5 83.750 (84.264) Epoch: [75][7810/11272] Time 0.821 (0.788) Data 0.002 (0.002) Loss 1.5995 (1.6538) Prec@1 51.875 (55.642) Prec@5 90.625 (84.264) Epoch: [75][7820/11272] Time 0.732 (0.788) Data 0.003 (0.002) Loss 1.7796 (1.6538) Prec@1 54.375 (55.642) Prec@5 83.125 (84.264) Epoch: [75][7830/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.6537 (1.6538) Prec@1 53.125 (55.640) Prec@5 85.000 (84.264) Epoch: [75][7840/11272] Time 0.805 (0.788) Data 0.001 (0.002) Loss 1.5917 (1.6538) Prec@1 55.625 (55.641) Prec@5 85.625 (84.265) Epoch: [75][7850/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.8220 (1.6539) Prec@1 55.000 (55.639) Prec@5 82.500 (84.264) Epoch: [75][7860/11272] Time 0.722 (0.788) Data 0.001 (0.002) Loss 1.5075 (1.6538) Prec@1 58.125 (55.644) Prec@5 86.875 (84.265) Epoch: [75][7870/11272] Time 0.717 (0.788) Data 0.002 (0.002) Loss 1.6992 (1.6538) Prec@1 54.375 (55.644) Prec@5 83.125 (84.264) Epoch: [75][7880/11272] Time 0.840 (0.788) Data 0.002 (0.002) Loss 1.9419 (1.6538) Prec@1 50.625 (55.642) Prec@5 78.750 (84.265) Epoch: [75][7890/11272] Time 0.826 (0.788) Data 0.002 (0.002) Loss 1.7773 (1.6538) Prec@1 53.750 (55.644) Prec@5 79.375 (84.265) Epoch: [75][7900/11272] Time 0.733 (0.788) Data 0.002 (0.002) Loss 1.5321 (1.6537) Prec@1 56.875 (55.645) Prec@5 86.250 (84.268) Epoch: [75][7910/11272] Time 0.739 (0.788) Data 0.001 (0.002) Loss 1.6454 (1.6537) Prec@1 55.625 (55.645) Prec@5 84.375 (84.268) Epoch: [75][7920/11272] Time 0.830 (0.788) Data 0.002 (0.002) Loss 1.6918 (1.6537) Prec@1 53.125 (55.644) Prec@5 81.875 (84.267) Epoch: [75][7930/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.6638 (1.6536) Prec@1 51.250 (55.644) Prec@5 86.875 (84.269) Epoch: [75][7940/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.8611 (1.6536) Prec@1 49.375 (55.643) Prec@5 80.625 (84.268) Epoch: [75][7950/11272] Time 0.845 (0.788) Data 0.002 (0.002) Loss 1.8481 (1.6537) Prec@1 53.125 (55.642) Prec@5 81.250 (84.266) Epoch: [75][7960/11272] Time 0.846 (0.788) Data 0.001 (0.002) Loss 1.6369 (1.6538) Prec@1 57.500 (55.642) Prec@5 82.500 (84.265) Epoch: [75][7970/11272] Time 0.747 (0.788) Data 0.001 (0.002) Loss 1.4839 (1.6538) Prec@1 56.250 (55.641) Prec@5 85.000 (84.263) Epoch: [75][7980/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.6009 (1.6537) Prec@1 53.750 (55.644) Prec@5 83.125 (84.265) Epoch: [75][7990/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 1.4442 (1.6537) Prec@1 56.250 (55.642) Prec@5 89.375 (84.264) Epoch: [75][8000/11272] Time 0.852 (0.788) Data 0.002 (0.002) Loss 1.7750 (1.6537) Prec@1 55.625 (55.642) Prec@5 84.375 (84.264) Epoch: [75][8010/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.7885 (1.6538) Prec@1 50.625 (55.640) Prec@5 82.500 (84.262) Epoch: [75][8020/11272] Time 0.742 (0.788) Data 0.001 (0.002) Loss 1.6649 (1.6538) Prec@1 53.750 (55.639) Prec@5 83.125 (84.262) Epoch: [75][8030/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.4407 (1.6538) Prec@1 56.875 (55.638) Prec@5 88.750 (84.263) Epoch: [75][8040/11272] Time 0.829 (0.788) Data 0.001 (0.002) Loss 1.8248 (1.6538) Prec@1 55.000 (55.637) Prec@5 77.500 (84.262) Epoch: [75][8050/11272] Time 0.753 (0.788) Data 0.002 (0.002) Loss 1.6954 (1.6538) Prec@1 56.875 (55.637) Prec@5 81.875 (84.264) Epoch: [75][8060/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.5496 (1.6539) Prec@1 57.500 (55.634) Prec@5 86.875 (84.262) Epoch: [75][8070/11272] Time 0.829 (0.788) Data 0.002 (0.002) Loss 1.4665 (1.6538) Prec@1 57.500 (55.634) Prec@5 86.250 (84.263) Epoch: [75][8080/11272] Time 0.809 (0.788) Data 0.002 (0.002) Loss 1.5479 (1.6539) Prec@1 58.125 (55.633) Prec@5 85.000 (84.261) Epoch: [75][8090/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.8000 (1.6540) Prec@1 53.750 (55.632) Prec@5 83.750 (84.259) Epoch: [75][8100/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 1.4026 (1.6540) Prec@1 61.250 (55.630) Prec@5 89.375 (84.258) Epoch: [75][8110/11272] Time 0.823 (0.788) Data 0.001 (0.002) Loss 1.7610 (1.6540) Prec@1 57.500 (55.630) Prec@5 83.125 (84.258) Epoch: [75][8120/11272] Time 0.700 (0.788) Data 0.001 (0.002) Loss 1.6854 (1.6541) Prec@1 53.750 (55.629) Prec@5 86.250 (84.259) Epoch: [75][8130/11272] Time 0.781 (0.788) Data 0.002 (0.002) Loss 1.9835 (1.6541) Prec@1 47.500 (55.627) Prec@5 82.500 (84.258) Epoch: [75][8140/11272] Time 0.833 (0.788) Data 0.001 (0.002) Loss 1.5890 (1.6541) Prec@1 53.750 (55.626) Prec@5 85.000 (84.258) Epoch: [75][8150/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.6245 (1.6541) Prec@1 53.125 (55.624) Prec@5 85.000 (84.256) Epoch: [75][8160/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.9218 (1.6543) Prec@1 51.875 (55.622) Prec@5 80.625 (84.254) Epoch: [75][8170/11272] Time 0.744 (0.788) Data 0.001 (0.002) Loss 1.8583 (1.6543) Prec@1 51.875 (55.622) Prec@5 83.750 (84.254) Epoch: [75][8180/11272] Time 0.828 (0.788) Data 0.002 (0.002) Loss 1.4771 (1.6544) Prec@1 53.750 (55.621) Prec@5 93.125 (84.254) Epoch: [75][8190/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.7887 (1.6543) Prec@1 52.500 (55.623) Prec@5 83.125 (84.255) Epoch: [75][8200/11272] Time 0.757 (0.788) Data 0.002 (0.002) Loss 1.7972 (1.6543) Prec@1 49.375 (55.623) Prec@5 83.750 (84.256) Epoch: [75][8210/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.7179 (1.6543) Prec@1 51.250 (55.624) Prec@5 83.750 (84.257) Epoch: [75][8220/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.7653 (1.6542) Prec@1 52.500 (55.623) Prec@5 81.875 (84.259) Epoch: [75][8230/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 1.7406 (1.6543) Prec@1 52.500 (55.623) Prec@5 83.125 (84.258) Epoch: [75][8240/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.6744 (1.6543) Prec@1 55.625 (55.621) Prec@5 84.375 (84.255) Epoch: [75][8250/11272] Time 0.858 (0.788) Data 0.002 (0.002) Loss 1.6428 (1.6544) Prec@1 54.375 (55.620) Prec@5 86.250 (84.255) Epoch: [75][8260/11272] Time 0.838 (0.788) Data 0.002 (0.002) Loss 1.6579 (1.6544) Prec@1 58.750 (55.620) Prec@5 85.000 (84.256) Epoch: [75][8270/11272] Time 0.715 (0.788) Data 0.002 (0.002) Loss 1.6851 (1.6544) Prec@1 54.375 (55.619) Prec@5 82.500 (84.256) Epoch: [75][8280/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.6559 (1.6544) Prec@1 54.375 (55.619) Prec@5 84.375 (84.255) Epoch: [75][8290/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.5996 (1.6544) Prec@1 52.500 (55.619) Prec@5 85.000 (84.254) Epoch: [75][8300/11272] Time 0.811 (0.788) Data 0.002 (0.002) Loss 1.4277 (1.6544) Prec@1 60.625 (55.617) Prec@5 91.875 (84.253) Epoch: [75][8310/11272] Time 0.707 (0.788) Data 0.002 (0.002) Loss 1.7190 (1.6544) Prec@1 55.625 (55.618) Prec@5 85.000 (84.253) Epoch: [75][8320/11272] Time 0.752 (0.788) Data 0.002 (0.002) Loss 1.7975 (1.6545) Prec@1 54.375 (55.616) Prec@5 78.125 (84.252) Epoch: [75][8330/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.7128 (1.6545) Prec@1 54.375 (55.616) Prec@5 85.000 (84.254) Epoch: [75][8340/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 1.6104 (1.6544) Prec@1 56.250 (55.617) Prec@5 86.250 (84.255) Epoch: [75][8350/11272] Time 0.744 (0.788) Data 0.001 (0.002) Loss 1.6889 (1.6545) Prec@1 50.625 (55.615) Prec@5 86.250 (84.254) Epoch: [75][8360/11272] Time 0.858 (0.788) Data 0.002 (0.002) Loss 1.7887 (1.6546) Prec@1 52.500 (55.613) Prec@5 82.500 (84.253) Epoch: [75][8370/11272] Time 0.819 (0.788) Data 0.002 (0.002) Loss 1.4212 (1.6545) Prec@1 60.000 (55.614) Prec@5 86.875 (84.254) Epoch: [75][8380/11272] Time 0.718 (0.788) Data 0.001 (0.002) Loss 1.9812 (1.6547) Prec@1 46.875 (55.611) Prec@5 77.500 (84.252) Epoch: [75][8390/11272] Time 0.746 (0.788) Data 0.001 (0.002) Loss 1.4666 (1.6547) Prec@1 53.750 (55.611) Prec@5 88.125 (84.252) Epoch: [75][8400/11272] Time 0.856 (0.788) Data 0.001 (0.002) Loss 1.7541 (1.6547) Prec@1 53.125 (55.610) Prec@5 82.500 (84.252) Epoch: [75][8410/11272] Time 0.843 (0.788) Data 0.002 (0.002) Loss 1.7481 (1.6547) Prec@1 53.750 (55.611) Prec@5 81.875 (84.252) Epoch: [75][8420/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.8014 (1.6547) Prec@1 49.375 (55.610) Prec@5 82.500 (84.251) Epoch: [75][8430/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 1.4938 (1.6548) Prec@1 62.500 (55.609) Prec@5 83.750 (84.248) Epoch: [75][8440/11272] Time 0.891 (0.788) Data 0.002 (0.002) Loss 1.7007 (1.6548) Prec@1 55.625 (55.609) Prec@5 83.750 (84.248) Epoch: [75][8450/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.6621 (1.6548) Prec@1 53.750 (55.610) Prec@5 83.750 (84.248) Epoch: [75][8460/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.7121 (1.6548) Prec@1 53.750 (55.608) Prec@5 83.750 (84.247) Epoch: [75][8470/11272] Time 0.732 (0.788) Data 0.002 (0.002) Loss 1.9867 (1.6549) Prec@1 43.750 (55.606) Prec@5 77.500 (84.245) Epoch: [75][8480/11272] Time 0.845 (0.788) Data 0.002 (0.002) Loss 1.5431 (1.6549) Prec@1 60.000 (55.608) Prec@5 83.750 (84.246) Epoch: [75][8490/11272] Time 0.714 (0.788) Data 0.003 (0.002) Loss 1.8781 (1.6549) Prec@1 48.750 (55.606) Prec@5 82.500 (84.248) Epoch: [75][8500/11272] Time 0.722 (0.788) Data 0.001 (0.002) Loss 1.6022 (1.6549) Prec@1 52.500 (55.606) Prec@5 87.500 (84.249) Epoch: [75][8510/11272] Time 0.840 (0.788) Data 0.002 (0.002) Loss 1.4575 (1.6549) Prec@1 59.375 (55.605) Prec@5 86.250 (84.248) Epoch: [75][8520/11272] Time 0.822 (0.788) Data 0.002 (0.002) Loss 1.7832 (1.6549) Prec@1 49.375 (55.604) Prec@5 81.250 (84.246) Epoch: [75][8530/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.6664 (1.6550) Prec@1 51.875 (55.603) Prec@5 83.125 (84.246) Epoch: [75][8540/11272] Time 0.771 (0.788) Data 0.002 (0.002) Loss 1.6000 (1.6550) Prec@1 56.250 (55.600) Prec@5 88.125 (84.246) Epoch: [75][8550/11272] Time 0.822 (0.788) Data 0.002 (0.002) Loss 1.4781 (1.6550) Prec@1 61.875 (55.601) Prec@5 89.375 (84.246) Epoch: [75][8560/11272] Time 0.907 (0.788) Data 0.002 (0.002) Loss 1.4490 (1.6550) Prec@1 58.750 (55.600) Prec@5 88.125 (84.247) Epoch: [75][8570/11272] Time 0.704 (0.788) Data 0.001 (0.002) Loss 1.6142 (1.6550) Prec@1 55.000 (55.601) Prec@5 84.375 (84.247) Epoch: [75][8580/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.7280 (1.6550) Prec@1 53.125 (55.599) Prec@5 85.625 (84.246) Epoch: [75][8590/11272] Time 0.877 (0.788) Data 0.002 (0.002) Loss 1.6640 (1.6550) Prec@1 56.250 (55.598) Prec@5 81.250 (84.246) Epoch: [75][8600/11272] Time 0.784 (0.788) Data 0.002 (0.002) Loss 1.4840 (1.6550) Prec@1 56.875 (55.598) Prec@5 88.125 (84.247) Epoch: [75][8610/11272] Time 0.711 (0.788) Data 0.002 (0.002) Loss 1.9483 (1.6550) Prec@1 52.500 (55.599) Prec@5 78.125 (84.246) Epoch: [75][8620/11272] Time 0.826 (0.788) Data 0.001 (0.002) Loss 1.7455 (1.6551) Prec@1 50.625 (55.596) Prec@5 83.125 (84.244) Epoch: [75][8630/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.5713 (1.6551) Prec@1 57.500 (55.597) Prec@5 85.625 (84.244) Epoch: [75][8640/11272] Time 0.730 (0.788) Data 0.001 (0.002) Loss 1.5096 (1.6551) Prec@1 59.375 (55.597) Prec@5 87.500 (84.244) Epoch: [75][8650/11272] Time 0.712 (0.788) Data 0.001 (0.002) Loss 1.5729 (1.6552) Prec@1 56.250 (55.595) Prec@5 84.375 (84.243) Epoch: [75][8660/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.5695 (1.6552) Prec@1 59.375 (55.594) Prec@5 88.125 (84.245) Epoch: [75][8670/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.8115 (1.6552) Prec@1 54.375 (55.595) Prec@5 80.000 (84.245) Epoch: [75][8680/11272] Time 0.748 (0.788) Data 0.002 (0.002) Loss 1.7467 (1.6552) Prec@1 51.875 (55.593) Prec@5 82.500 (84.243) Epoch: [75][8690/11272] Time 0.696 (0.788) Data 0.001 (0.002) Loss 1.9568 (1.6553) Prec@1 48.125 (55.590) Prec@5 80.000 (84.242) Epoch: [75][8700/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.5768 (1.6553) Prec@1 58.750 (55.592) Prec@5 82.500 (84.241) Epoch: [75][8710/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.6679 (1.6552) Prec@1 54.375 (55.596) Prec@5 84.375 (84.243) Epoch: [75][8720/11272] Time 0.753 (0.788) Data 0.001 (0.002) Loss 1.6673 (1.6553) Prec@1 55.000 (55.597) Prec@5 83.750 (84.241) Epoch: [75][8730/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.4497 (1.6553) Prec@1 61.250 (55.596) Prec@5 90.625 (84.242) Epoch: [75][8740/11272] Time 0.823 (0.788) Data 0.002 (0.002) Loss 1.5059 (1.6552) Prec@1 54.375 (55.596) Prec@5 90.000 (84.243) Epoch: [75][8750/11272] Time 0.736 (0.788) Data 0.003 (0.002) Loss 1.9044 (1.6554) Prec@1 48.750 (55.592) Prec@5 80.625 (84.241) Epoch: [75][8760/11272] Time 0.703 (0.788) Data 0.001 (0.002) Loss 1.7265 (1.6555) Prec@1 60.625 (55.591) Prec@5 83.125 (84.239) Epoch: [75][8770/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 1.9155 (1.6555) Prec@1 47.500 (55.591) Prec@5 79.375 (84.239) Epoch: [75][8780/11272] Time 0.856 (0.788) Data 0.002 (0.002) Loss 1.4698 (1.6555) Prec@1 58.750 (55.590) Prec@5 88.750 (84.237) Epoch: [75][8790/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 1.6849 (1.6555) Prec@1 56.250 (55.589) Prec@5 85.625 (84.237) Epoch: [75][8800/11272] Time 0.694 (0.788) Data 0.001 (0.002) Loss 1.7604 (1.6556) Prec@1 56.250 (55.585) Prec@5 80.625 (84.235) Epoch: [75][8810/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 1.6059 (1.6556) Prec@1 54.375 (55.586) Prec@5 85.000 (84.235) Epoch: [75][8820/11272] Time 0.865 (0.788) Data 0.002 (0.002) Loss 1.6617 (1.6555) Prec@1 55.000 (55.587) Prec@5 84.375 (84.236) Epoch: [75][8830/11272] Time 0.750 (0.788) Data 0.001 (0.002) Loss 1.6836 (1.6556) Prec@1 58.750 (55.588) Prec@5 81.250 (84.234) Epoch: [75][8840/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.5358 (1.6556) Prec@1 56.875 (55.589) Prec@5 83.125 (84.233) Epoch: [75][8850/11272] Time 0.853 (0.788) Data 0.002 (0.002) Loss 1.5781 (1.6556) Prec@1 60.000 (55.590) Prec@5 84.375 (84.233) Epoch: [75][8860/11272] Time 0.813 (0.788) Data 0.001 (0.002) Loss 1.8067 (1.6556) Prec@1 58.750 (55.589) Prec@5 81.875 (84.233) Epoch: [75][8870/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.7977 (1.6556) Prec@1 49.375 (55.590) Prec@5 83.125 (84.234) Epoch: [75][8880/11272] Time 0.850 (0.788) Data 0.001 (0.002) Loss 1.8177 (1.6556) Prec@1 55.625 (55.591) Prec@5 81.250 (84.235) Epoch: [75][8890/11272] Time 0.888 (0.788) Data 0.002 (0.002) Loss 1.7620 (1.6556) Prec@1 53.750 (55.592) Prec@5 81.250 (84.234) Epoch: [75][8900/11272] Time 0.713 (0.788) Data 0.002 (0.002) Loss 1.5028 (1.6557) Prec@1 60.625 (55.593) Prec@5 83.125 (84.232) Epoch: [75][8910/11272] Time 0.745 (0.788) Data 0.001 (0.002) Loss 1.6511 (1.6558) Prec@1 56.250 (55.590) Prec@5 84.375 (84.230) Epoch: [75][8920/11272] Time 0.857 (0.788) Data 0.002 (0.002) Loss 1.5175 (1.6558) Prec@1 60.000 (55.589) Prec@5 88.125 (84.230) Epoch: [75][8930/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.5563 (1.6559) Prec@1 60.000 (55.587) Prec@5 86.250 (84.229) Epoch: [75][8940/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.7161 (1.6560) Prec@1 51.875 (55.583) Prec@5 81.875 (84.229) Epoch: [75][8950/11272] Time 0.742 (0.788) Data 0.002 (0.002) Loss 1.8356 (1.6560) Prec@1 51.875 (55.584) Prec@5 82.500 (84.227) Epoch: [75][8960/11272] Time 0.879 (0.788) Data 0.002 (0.002) Loss 1.7245 (1.6560) Prec@1 53.750 (55.584) Prec@5 85.625 (84.227) Epoch: [75][8970/11272] Time 0.839 (0.788) Data 0.002 (0.002) Loss 1.6858 (1.6560) Prec@1 51.875 (55.584) Prec@5 86.250 (84.226) Epoch: [75][8980/11272] Time 0.760 (0.788) Data 0.002 (0.002) Loss 1.8254 (1.6561) Prec@1 48.125 (55.582) Prec@5 81.250 (84.225) Epoch: [75][8990/11272] Time 0.749 (0.788) Data 0.002 (0.002) Loss 1.4566 (1.6562) Prec@1 59.375 (55.581) Prec@5 89.375 (84.224) Epoch: [75][9000/11272] Time 0.855 (0.788) Data 0.002 (0.002) Loss 1.5141 (1.6561) Prec@1 58.750 (55.583) Prec@5 90.625 (84.225) Epoch: [75][9010/11272] Time 0.835 (0.788) Data 0.001 (0.002) Loss 1.7043 (1.6562) Prec@1 51.875 (55.582) Prec@5 85.000 (84.224) Epoch: [75][9020/11272] Time 0.745 (0.788) Data 0.002 (0.002) Loss 1.9453 (1.6563) Prec@1 45.000 (55.580) Prec@5 80.000 (84.222) Epoch: [75][9030/11272] Time 0.807 (0.788) Data 0.001 (0.002) Loss 1.4743 (1.6564) Prec@1 58.125 (55.577) Prec@5 85.000 (84.221) Epoch: [75][9040/11272] Time 0.825 (0.788) Data 0.002 (0.002) Loss 1.3826 (1.6564) Prec@1 61.250 (55.578) Prec@5 90.000 (84.223) Epoch: [75][9050/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.6996 (1.6564) Prec@1 55.625 (55.576) Prec@5 83.125 (84.222) Epoch: [75][9060/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 1.6927 (1.6564) Prec@1 53.125 (55.574) Prec@5 83.750 (84.223) Epoch: [75][9070/11272] Time 0.843 (0.788) Data 0.002 (0.002) Loss 1.7377 (1.6564) Prec@1 56.250 (55.573) Prec@5 81.875 (84.222) Epoch: [75][9080/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 1.7304 (1.6565) Prec@1 52.500 (55.573) Prec@5 84.375 (84.222) Epoch: [75][9090/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.6187 (1.6565) Prec@1 53.750 (55.571) Prec@5 86.250 (84.222) Epoch: [75][9100/11272] Time 0.711 (0.788) Data 0.001 (0.002) Loss 1.4861 (1.6565) Prec@1 58.125 (55.572) Prec@5 86.875 (84.221) Epoch: [75][9110/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.5764 (1.6565) Prec@1 56.250 (55.572) Prec@5 89.375 (84.220) Epoch: [75][9120/11272] Time 0.842 (0.788) Data 0.001 (0.002) Loss 1.9203 (1.6566) Prec@1 53.750 (55.571) Prec@5 81.250 (84.219) Epoch: [75][9130/11272] Time 0.778 (0.788) Data 0.001 (0.002) Loss 1.7875 (1.6566) Prec@1 51.875 (55.571) Prec@5 78.750 (84.218) Epoch: [75][9140/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.7267 (1.6566) Prec@1 52.500 (55.571) Prec@5 85.000 (84.218) Epoch: [75][9150/11272] Time 0.823 (0.788) Data 0.002 (0.002) Loss 1.6511 (1.6566) Prec@1 53.125 (55.572) Prec@5 87.500 (84.219) Epoch: [75][9160/11272] Time 0.692 (0.788) Data 0.001 (0.002) Loss 1.5640 (1.6566) Prec@1 60.000 (55.570) Prec@5 83.750 (84.218) Epoch: [75][9170/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.7562 (1.6567) Prec@1 54.375 (55.569) Prec@5 83.125 (84.219) Epoch: [75][9180/11272] Time 0.857 (0.788) Data 0.002 (0.002) Loss 1.6434 (1.6566) Prec@1 55.625 (55.569) Prec@5 85.000 (84.220) Epoch: [75][9190/11272] Time 0.824 (0.788) Data 0.001 (0.002) Loss 1.6147 (1.6566) Prec@1 57.500 (55.571) Prec@5 84.375 (84.221) Epoch: [75][9200/11272] Time 0.735 (0.788) Data 0.002 (0.002) Loss 1.9256 (1.6567) Prec@1 52.500 (55.569) Prec@5 81.250 (84.219) Epoch: [75][9210/11272] Time 0.752 (0.788) Data 0.002 (0.002) Loss 1.5914 (1.6566) Prec@1 53.750 (55.568) Prec@5 83.750 (84.220) Epoch: [75][9220/11272] Time 0.839 (0.788) Data 0.002 (0.002) Loss 1.4361 (1.6566) Prec@1 62.500 (55.569) Prec@5 88.125 (84.219) Epoch: [75][9230/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.7233 (1.6566) Prec@1 56.875 (55.569) Prec@5 79.375 (84.217) Epoch: [75][9240/11272] Time 0.707 (0.788) Data 0.001 (0.002) Loss 1.5668 (1.6566) Prec@1 56.875 (55.571) Prec@5 87.500 (84.217) Epoch: [75][9250/11272] Time 0.702 (0.788) Data 0.001 (0.002) Loss 1.8112 (1.6566) Prec@1 50.000 (55.570) Prec@5 83.750 (84.218) Epoch: [75][9260/11272] Time 0.854 (0.788) Data 0.002 (0.002) Loss 1.7717 (1.6566) Prec@1 50.625 (55.569) Prec@5 81.875 (84.219) Epoch: [75][9270/11272] Time 0.863 (0.788) Data 0.002 (0.002) Loss 1.4858 (1.6566) Prec@1 58.125 (55.567) Prec@5 86.875 (84.218) Epoch: [75][9280/11272] Time 0.770 (0.788) Data 0.002 (0.002) Loss 1.7487 (1.6566) Prec@1 50.000 (55.568) Prec@5 86.875 (84.219) Epoch: [75][9290/11272] Time 0.812 (0.788) Data 0.001 (0.002) Loss 1.8692 (1.6566) Prec@1 50.000 (55.567) Prec@5 82.500 (84.220) Epoch: [75][9300/11272] Time 0.825 (0.788) Data 0.002 (0.002) Loss 1.8475 (1.6567) Prec@1 55.000 (55.566) Prec@5 78.750 (84.219) Epoch: [75][9310/11272] Time 0.718 (0.788) Data 0.002 (0.002) Loss 1.5571 (1.6567) Prec@1 53.125 (55.565) Prec@5 86.875 (84.219) Epoch: [75][9320/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.4640 (1.6566) Prec@1 60.000 (55.567) Prec@5 88.750 (84.221) Epoch: [75][9330/11272] Time 0.833 (0.788) Data 0.002 (0.002) Loss 1.7571 (1.6565) Prec@1 52.500 (55.569) Prec@5 81.875 (84.223) Epoch: [75][9340/11272] Time 0.806 (0.788) Data 0.001 (0.002) Loss 1.7831 (1.6565) Prec@1 44.375 (55.566) Prec@5 83.750 (84.223) Epoch: [75][9350/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.8336 (1.6566) Prec@1 54.375 (55.564) Prec@5 81.250 (84.223) Epoch: [75][9360/11272] Time 0.722 (0.788) Data 0.006 (0.002) Loss 1.6490 (1.6567) Prec@1 59.375 (55.564) Prec@5 83.125 (84.224) Epoch: [75][9370/11272] Time 0.821 (0.788) Data 0.002 (0.002) Loss 1.5802 (1.6567) Prec@1 55.625 (55.563) Prec@5 85.625 (84.223) Epoch: [75][9380/11272] Time 0.859 (0.788) Data 0.003 (0.002) Loss 1.7034 (1.6566) Prec@1 55.000 (55.564) Prec@5 83.750 (84.225) Epoch: [75][9390/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.5396 (1.6565) Prec@1 57.500 (55.567) Prec@5 84.375 (84.226) Epoch: [75][9400/11272] Time 0.722 (0.788) Data 0.002 (0.002) Loss 1.5807 (1.6565) Prec@1 56.250 (55.567) Prec@5 83.750 (84.226) Epoch: [75][9410/11272] Time 0.872 (0.788) Data 0.002 (0.002) Loss 1.7295 (1.6566) Prec@1 47.500 (55.565) Prec@5 80.000 (84.224) Epoch: [75][9420/11272] Time 0.745 (0.788) Data 0.003 (0.002) Loss 1.9051 (1.6566) Prec@1 50.000 (55.566) Prec@5 80.000 (84.224) Epoch: [75][9430/11272] Time 0.716 (0.788) Data 0.001 (0.002) Loss 1.4185 (1.6566) Prec@1 60.000 (55.566) Prec@5 88.750 (84.223) Epoch: [75][9440/11272] Time 0.824 (0.788) Data 0.002 (0.002) Loss 1.6044 (1.6566) Prec@1 55.000 (55.568) Prec@5 83.750 (84.223) Epoch: [75][9450/11272] Time 0.824 (0.788) Data 0.002 (0.002) Loss 1.8213 (1.6565) Prec@1 51.250 (55.569) Prec@5 84.375 (84.224) Epoch: [75][9460/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.6511 (1.6566) Prec@1 57.500 (55.569) Prec@5 86.875 (84.223) Epoch: [75][9470/11272] Time 0.731 (0.788) Data 0.001 (0.002) Loss 1.4355 (1.6565) Prec@1 63.750 (55.570) Prec@5 85.625 (84.224) Epoch: [75][9480/11272] Time 0.819 (0.788) Data 0.002 (0.002) Loss 1.3035 (1.6565) Prec@1 65.000 (55.570) Prec@5 89.375 (84.225) Epoch: [75][9490/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 1.5886 (1.6565) Prec@1 61.250 (55.571) Prec@5 88.750 (84.226) Epoch: [75][9500/11272] Time 0.729 (0.788) Data 0.001 (0.002) Loss 1.7925 (1.6565) Prec@1 48.125 (55.570) Prec@5 84.375 (84.226) Epoch: [75][9510/11272] Time 0.710 (0.788) Data 0.002 (0.002) Loss 1.9283 (1.6565) Prec@1 55.625 (55.569) Prec@5 80.000 (84.225) Epoch: [75][9520/11272] Time 0.844 (0.788) Data 0.002 (0.002) Loss 1.5708 (1.6565) Prec@1 60.000 (55.569) Prec@5 86.250 (84.225) Epoch: [75][9530/11272] Time 0.815 (0.788) Data 0.001 (0.002) Loss 1.7281 (1.6566) Prec@1 55.000 (55.567) Prec@5 85.625 (84.225) Epoch: [75][9540/11272] Time 0.759 (0.788) Data 0.002 (0.002) Loss 1.6645 (1.6565) Prec@1 50.625 (55.568) Prec@5 85.625 (84.225) Epoch: [75][9550/11272] Time 0.849 (0.788) Data 0.002 (0.002) Loss 1.6517 (1.6565) Prec@1 55.625 (55.567) Prec@5 80.625 (84.224) Epoch: [75][9560/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.5473 (1.6565) Prec@1 58.125 (55.567) Prec@5 84.375 (84.225) Epoch: [75][9570/11272] Time 0.748 (0.788) Data 0.001 (0.002) Loss 1.5417 (1.6565) Prec@1 54.375 (55.567) Prec@5 88.750 (84.225) Epoch: [75][9580/11272] Time 0.756 (0.788) Data 0.002 (0.002) Loss 1.5498 (1.6565) Prec@1 53.125 (55.566) Prec@5 87.500 (84.226) Epoch: [75][9590/11272] Time 0.816 (0.788) Data 0.001 (0.002) Loss 1.8347 (1.6565) Prec@1 52.500 (55.565) Prec@5 81.875 (84.225) Epoch: [75][9600/11272] Time 0.788 (0.788) Data 0.001 (0.002) Loss 1.5775 (1.6565) Prec@1 57.500 (55.565) Prec@5 86.875 (84.226) Epoch: [75][9610/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.7442 (1.6564) Prec@1 48.125 (55.567) Prec@5 85.000 (84.227) Epoch: [75][9620/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.8171 (1.6564) Prec@1 57.500 (55.569) Prec@5 83.750 (84.228) Epoch: [75][9630/11272] Time 0.850 (0.788) Data 0.002 (0.002) Loss 1.5921 (1.6563) Prec@1 58.750 (55.571) Prec@5 85.000 (84.228) Epoch: [75][9640/11272] Time 0.874 (0.788) Data 0.002 (0.002) Loss 1.6906 (1.6564) Prec@1 51.875 (55.570) Prec@5 85.000 (84.227) Epoch: [75][9650/11272] Time 0.692 (0.788) Data 0.001 (0.002) Loss 1.8149 (1.6565) Prec@1 52.500 (55.569) Prec@5 81.875 (84.224) Epoch: [75][9660/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 1.5824 (1.6565) Prec@1 54.375 (55.566) Prec@5 86.250 (84.224) Epoch: [75][9670/11272] Time 0.808 (0.788) Data 0.001 (0.002) Loss 1.7662 (1.6565) Prec@1 49.375 (55.567) Prec@5 82.500 (84.224) Epoch: [75][9680/11272] Time 0.705 (0.788) Data 0.003 (0.002) Loss 1.5854 (1.6565) Prec@1 55.625 (55.567) Prec@5 88.125 (84.224) Epoch: [75][9690/11272] Time 0.749 (0.788) Data 0.002 (0.002) Loss 1.4740 (1.6566) Prec@1 60.000 (55.566) Prec@5 86.875 (84.223) Epoch: [75][9700/11272] Time 0.801 (0.788) Data 0.002 (0.002) Loss 1.7688 (1.6566) Prec@1 50.000 (55.565) Prec@5 79.375 (84.223) Epoch: [75][9710/11272] Time 0.831 (0.788) Data 0.001 (0.002) Loss 1.9840 (1.6567) Prec@1 49.375 (55.564) Prec@5 83.125 (84.221) Epoch: [75][9720/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.6571 (1.6567) Prec@1 60.000 (55.563) Prec@5 81.875 (84.220) Epoch: [75][9730/11272] Time 0.727 (0.788) Data 0.002 (0.002) Loss 1.5459 (1.6567) Prec@1 57.500 (55.565) Prec@5 85.625 (84.220) Epoch: [75][9740/11272] Time 0.859 (0.788) Data 0.001 (0.002) Loss 1.7276 (1.6568) Prec@1 56.250 (55.563) Prec@5 81.250 (84.219) Epoch: [75][9750/11272] Time 0.830 (0.788) Data 0.001 (0.002) Loss 1.9440 (1.6568) Prec@1 45.625 (55.562) Prec@5 80.625 (84.220) Epoch: [75][9760/11272] Time 0.790 (0.788) Data 0.001 (0.002) Loss 1.5220 (1.6568) Prec@1 56.875 (55.563) Prec@5 86.250 (84.220) Epoch: [75][9770/11272] Time 0.748 (0.788) Data 0.002 (0.002) Loss 1.6078 (1.6568) Prec@1 54.375 (55.561) Prec@5 88.750 (84.221) Epoch: [75][9780/11272] Time 0.811 (0.788) Data 0.001 (0.002) Loss 1.5903 (1.6568) Prec@1 57.500 (55.562) Prec@5 84.375 (84.222) Epoch: [75][9790/11272] Time 0.861 (0.788) Data 0.002 (0.002) Loss 1.4407 (1.6568) Prec@1 58.750 (55.561) Prec@5 87.500 (84.222) Epoch: [75][9800/11272] Time 0.712 (0.788) Data 0.001 (0.002) Loss 1.6787 (1.6568) Prec@1 55.625 (55.560) Prec@5 83.750 (84.221) Epoch: [75][9810/11272] Time 0.818 (0.788) Data 0.001 (0.002) Loss 1.4565 (1.6568) Prec@1 57.500 (55.561) Prec@5 89.375 (84.221) Epoch: [75][9820/11272] Time 0.803 (0.788) Data 0.001 (0.002) Loss 1.5585 (1.6568) Prec@1 62.500 (55.562) Prec@5 85.000 (84.220) Epoch: [75][9830/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.6984 (1.6568) Prec@1 55.000 (55.561) Prec@5 86.875 (84.221) Epoch: [75][9840/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.5212 (1.6568) Prec@1 58.125 (55.559) Prec@5 86.875 (84.221) Epoch: [75][9850/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.4956 (1.6569) Prec@1 58.750 (55.558) Prec@5 87.500 (84.221) Epoch: [75][9860/11272] Time 0.866 (0.788) Data 0.002 (0.002) Loss 1.6373 (1.6569) Prec@1 57.500 (55.555) Prec@5 86.250 (84.220) Epoch: [75][9870/11272] Time 0.735 (0.788) Data 0.002 (0.002) Loss 1.6361 (1.6569) Prec@1 52.500 (55.555) Prec@5 85.625 (84.221) Epoch: [75][9880/11272] Time 0.707 (0.788) Data 0.001 (0.002) Loss 1.6076 (1.6570) Prec@1 57.500 (55.555) Prec@5 81.875 (84.220) Epoch: [75][9890/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.7588 (1.6570) Prec@1 56.250 (55.555) Prec@5 80.625 (84.220) Epoch: [75][9900/11272] Time 0.861 (0.788) Data 0.002 (0.002) Loss 1.6174 (1.6570) Prec@1 55.000 (55.554) Prec@5 87.500 (84.220) Epoch: [75][9910/11272] Time 0.743 (0.788) Data 0.002 (0.002) Loss 1.6934 (1.6570) Prec@1 55.000 (55.556) Prec@5 83.750 (84.219) Epoch: [75][9920/11272] Time 0.733 (0.788) Data 0.001 (0.002) Loss 1.7087 (1.6570) Prec@1 51.250 (55.553) Prec@5 86.250 (84.218) Epoch: [75][9930/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 1.6888 (1.6570) Prec@1 55.000 (55.553) Prec@5 83.750 (84.217) Epoch: [75][9940/11272] Time 0.855 (0.788) Data 0.002 (0.002) Loss 1.5834 (1.6570) Prec@1 56.250 (55.553) Prec@5 85.000 (84.219) Epoch: [75][9950/11272] Time 0.734 (0.788) Data 0.002 (0.002) Loss 1.8124 (1.6571) Prec@1 55.000 (55.551) Prec@5 81.250 (84.216) Epoch: [75][9960/11272] Time 0.856 (0.788) Data 0.002 (0.002) Loss 1.6893 (1.6572) Prec@1 56.250 (55.549) Prec@5 86.250 (84.216) Epoch: [75][9970/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.6976 (1.6571) Prec@1 54.375 (55.548) Prec@5 84.375 (84.218) Epoch: [75][9980/11272] Time 0.714 (0.788) Data 0.002 (0.002) Loss 1.5498 (1.6571) Prec@1 56.875 (55.549) Prec@5 88.125 (84.219) Epoch: [75][9990/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.5870 (1.6570) Prec@1 57.500 (55.551) Prec@5 83.750 (84.220) Epoch: [75][10000/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.7242 (1.6570) Prec@1 56.875 (55.553) Prec@5 83.750 (84.221) Epoch: [75][10010/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.6851 (1.6570) Prec@1 60.000 (55.553) Prec@5 81.875 (84.220) Epoch: [75][10020/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.3403 (1.6569) Prec@1 63.750 (55.554) Prec@5 88.750 (84.221) Epoch: [75][10030/11272] Time 0.737 (0.788) Data 0.002 (0.002) Loss 1.8222 (1.6569) Prec@1 51.250 (55.554) Prec@5 79.375 (84.222) Epoch: [75][10040/11272] Time 0.820 (0.788) Data 0.002 (0.002) Loss 1.9420 (1.6568) Prec@1 49.375 (55.555) Prec@5 78.750 (84.221) Epoch: [75][10050/11272] Time 0.847 (0.788) Data 0.002 (0.002) Loss 1.8081 (1.6568) Prec@1 48.125 (55.554) Prec@5 81.875 (84.221) Epoch: [75][10060/11272] Time 0.731 (0.788) Data 0.002 (0.002) Loss 1.7374 (1.6569) Prec@1 60.000 (55.556) Prec@5 80.000 (84.219) Epoch: [75][10070/11272] Time 0.854 (0.788) Data 0.001 (0.002) Loss 1.6216 (1.6570) Prec@1 54.375 (55.554) Prec@5 88.750 (84.219) Epoch: [75][10080/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.6775 (1.6570) Prec@1 58.750 (55.555) Prec@5 83.750 (84.218) Epoch: [75][10090/11272] Time 0.709 (0.788) Data 0.001 (0.002) Loss 1.7556 (1.6570) Prec@1 51.875 (55.554) Prec@5 85.000 (84.216) Epoch: [75][10100/11272] Time 0.755 (0.788) Data 0.002 (0.002) Loss 1.5688 (1.6570) Prec@1 58.750 (55.555) Prec@5 88.125 (84.218) Epoch: [75][10110/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.5264 (1.6569) Prec@1 58.750 (55.556) Prec@5 87.500 (84.218) Epoch: [75][10120/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 1.8307 (1.6570) Prec@1 55.000 (55.553) Prec@5 82.500 (84.217) Epoch: [75][10130/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 1.7616 (1.6571) Prec@1 48.125 (55.553) Prec@5 83.750 (84.217) Epoch: [75][10140/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.6822 (1.6571) Prec@1 54.375 (55.550) Prec@5 81.250 (84.216) Epoch: [75][10150/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.5563 (1.6571) Prec@1 61.250 (55.550) Prec@5 84.375 (84.216) Epoch: [75][10160/11272] Time 0.838 (0.788) Data 0.002 (0.002) Loss 1.7163 (1.6572) Prec@1 53.125 (55.549) Prec@5 81.875 (84.216) Epoch: [75][10170/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.6357 (1.6572) Prec@1 56.250 (55.550) Prec@5 86.250 (84.216) Epoch: [75][10180/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.5760 (1.6572) Prec@1 56.250 (55.549) Prec@5 88.750 (84.216) Epoch: [75][10190/11272] Time 0.838 (0.788) Data 0.001 (0.002) Loss 1.4713 (1.6572) Prec@1 59.375 (55.549) Prec@5 84.375 (84.216) Epoch: [75][10200/11272] Time 0.817 (0.788) Data 0.001 (0.002) Loss 1.6320 (1.6572) Prec@1 53.750 (55.549) Prec@5 88.125 (84.217) Epoch: [75][10210/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.7505 (1.6572) Prec@1 52.500 (55.548) Prec@5 82.500 (84.215) Epoch: [75][10220/11272] Time 0.814 (0.788) Data 0.002 (0.002) Loss 1.8139 (1.6572) Prec@1 50.000 (55.547) Prec@5 83.125 (84.216) Epoch: [75][10230/11272] Time 0.834 (0.788) Data 0.002 (0.002) Loss 1.7932 (1.6573) Prec@1 51.250 (55.547) Prec@5 81.875 (84.216) Epoch: [75][10240/11272] Time 0.728 (0.788) Data 0.002 (0.002) Loss 1.4357 (1.6572) Prec@1 61.250 (55.547) Prec@5 90.000 (84.216) Epoch: [75][10250/11272] Time 0.754 (0.788) Data 0.002 (0.002) Loss 1.8561 (1.6573) Prec@1 52.500 (55.546) Prec@5 82.500 (84.215) Epoch: [75][10260/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.3882 (1.6573) Prec@1 64.375 (55.548) Prec@5 90.625 (84.215) Epoch: [75][10270/11272] Time 0.858 (0.788) Data 0.001 (0.002) Loss 1.8595 (1.6573) Prec@1 52.500 (55.546) Prec@5 79.375 (84.213) Epoch: [75][10280/11272] Time 0.745 (0.788) Data 0.002 (0.002) Loss 1.6717 (1.6574) Prec@1 53.125 (55.544) Prec@5 87.500 (84.213) Epoch: [75][10290/11272] Time 0.730 (0.788) Data 0.002 (0.002) Loss 1.7535 (1.6574) Prec@1 52.500 (55.544) Prec@5 84.375 (84.214) Epoch: [75][10300/11272] Time 0.836 (0.788) Data 0.001 (0.002) Loss 1.5512 (1.6575) Prec@1 57.500 (55.541) Prec@5 83.750 (84.213) Epoch: [75][10310/11272] Time 0.814 (0.788) Data 0.001 (0.002) Loss 1.8159 (1.6575) Prec@1 55.625 (55.541) Prec@5 83.125 (84.213) Epoch: [75][10320/11272] Time 0.736 (0.788) Data 0.001 (0.002) Loss 1.4668 (1.6575) Prec@1 58.750 (55.539) Prec@5 87.500 (84.212) Epoch: [75][10330/11272] Time 0.708 (0.788) Data 0.001 (0.002) Loss 1.7894 (1.6576) Prec@1 52.500 (55.538) Prec@5 77.500 (84.211) Epoch: [75][10340/11272] Time 0.853 (0.788) Data 0.002 (0.002) Loss 1.5995 (1.6576) Prec@1 58.125 (55.538) Prec@5 81.875 (84.210) Epoch: [75][10350/11272] Time 0.731 (0.788) Data 0.004 (0.002) Loss 1.8224 (1.6576) Prec@1 45.000 (55.535) Prec@5 83.125 (84.209) Epoch: [75][10360/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.6578 (1.6576) Prec@1 54.375 (55.533) Prec@5 86.250 (84.208) Epoch: [75][10370/11272] Time 0.873 (0.788) Data 0.002 (0.002) Loss 1.8068 (1.6577) Prec@1 51.875 (55.532) Prec@5 82.500 (84.207) Epoch: [75][10380/11272] Time 0.836 (0.788) Data 0.002 (0.002) Loss 2.0387 (1.6577) Prec@1 47.500 (55.531) Prec@5 81.250 (84.208) Epoch: [75][10390/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.8177 (1.6577) Prec@1 51.875 (55.529) Prec@5 81.250 (84.208) Epoch: [75][10400/11272] Time 0.739 (0.788) Data 0.002 (0.002) Loss 1.5342 (1.6577) Prec@1 58.125 (55.530) Prec@5 85.000 (84.208) Epoch: [75][10410/11272] Time 0.816 (0.788) Data 0.002 (0.002) Loss 1.5002 (1.6578) Prec@1 58.750 (55.529) Prec@5 88.125 (84.208) Epoch: [75][10420/11272] Time 0.839 (0.788) Data 0.002 (0.002) Loss 1.9023 (1.6578) Prec@1 54.375 (55.527) Prec@5 77.500 (84.206) Epoch: [75][10430/11272] Time 0.757 (0.788) Data 0.002 (0.002) Loss 1.4414 (1.6577) Prec@1 61.875 (55.531) Prec@5 84.375 (84.207) Epoch: [75][10440/11272] Time 0.721 (0.788) Data 0.001 (0.002) Loss 1.6470 (1.6577) Prec@1 61.875 (55.533) Prec@5 82.500 (84.208) Epoch: [75][10450/11272] Time 0.823 (0.788) Data 0.002 (0.002) Loss 1.8087 (1.6577) Prec@1 51.875 (55.532) Prec@5 81.875 (84.207) Epoch: [75][10460/11272] Time 0.818 (0.788) Data 0.001 (0.002) Loss 1.7648 (1.6577) Prec@1 48.125 (55.532) Prec@5 86.250 (84.207) Epoch: [75][10470/11272] Time 0.741 (0.788) Data 0.002 (0.002) Loss 1.6398 (1.6577) Prec@1 53.750 (55.532) Prec@5 86.250 (84.209) Epoch: [75][10480/11272] Time 0.864 (0.788) Data 0.002 (0.002) Loss 1.7136 (1.6577) Prec@1 50.625 (55.531) Prec@5 81.875 (84.209) Epoch: [75][10490/11272] Time 0.837 (0.788) Data 0.002 (0.002) Loss 1.6412 (1.6577) Prec@1 55.625 (55.533) Prec@5 85.000 (84.209) Epoch: [75][10500/11272] Time 0.704 (0.788) Data 0.001 (0.002) Loss 1.5476 (1.6576) Prec@1 59.375 (55.534) Prec@5 88.125 (84.210) Epoch: [75][10510/11272] Time 0.713 (0.788) Data 0.001 (0.002) Loss 1.6143 (1.6576) Prec@1 56.875 (55.535) Prec@5 83.125 (84.210) Epoch: [75][10520/11272] Time 0.858 (0.788) Data 0.002 (0.002) Loss 1.6454 (1.6575) Prec@1 53.750 (55.535) Prec@5 84.375 (84.212) Epoch: [75][10530/11272] Time 0.827 (0.788) Data 0.001 (0.002) Loss 1.6152 (1.6576) Prec@1 56.250 (55.534) Prec@5 85.000 (84.212) Epoch: [75][10540/11272] Time 0.732 (0.788) Data 0.002 (0.002) Loss 1.6640 (1.6575) Prec@1 51.875 (55.533) Prec@5 83.125 (84.212) Epoch: [75][10550/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.5797 (1.6575) Prec@1 57.500 (55.534) Prec@5 83.125 (84.213) Epoch: [75][10560/11272] Time 0.812 (0.788) Data 0.001 (0.002) Loss 1.6278 (1.6575) Prec@1 55.625 (55.533) Prec@5 85.625 (84.212) Epoch: [75][10570/11272] Time 0.860 (0.788) Data 0.002 (0.002) Loss 1.7038 (1.6576) Prec@1 55.625 (55.532) Prec@5 78.125 (84.212) Epoch: [75][10580/11272] Time 0.747 (0.788) Data 0.002 (0.002) Loss 1.5117 (1.6575) Prec@1 56.875 (55.533) Prec@5 85.625 (84.213) Epoch: [75][10590/11272] Time 0.748 (0.788) Data 0.002 (0.002) Loss 1.6431 (1.6576) Prec@1 55.625 (55.532) Prec@5 80.000 (84.211) Epoch: [75][10600/11272] Time 0.865 (0.788) Data 0.002 (0.002) Loss 1.4434 (1.6576) Prec@1 60.000 (55.532) Prec@5 88.125 (84.211) Epoch: [75][10610/11272] Time 0.740 (0.788) Data 0.004 (0.002) Loss 1.4992 (1.6576) Prec@1 58.750 (55.531) Prec@5 85.000 (84.212) Epoch: [75][10620/11272] Time 0.704 (0.788) Data 0.001 (0.002) Loss 1.6711 (1.6576) Prec@1 51.875 (55.530) Prec@5 82.500 (84.212) Epoch: [75][10630/11272] Time 0.830 (0.788) Data 0.002 (0.002) Loss 1.7048 (1.6576) Prec@1 53.750 (55.532) Prec@5 85.000 (84.213) Epoch: [75][10640/11272] Time 0.855 (0.788) Data 0.002 (0.002) Loss 1.6933 (1.6577) Prec@1 56.250 (55.531) Prec@5 81.250 (84.211) Epoch: [75][10650/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.8861 (1.6577) Prec@1 50.000 (55.530) Prec@5 83.125 (84.212) Epoch: [75][10660/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.5496 (1.6577) Prec@1 55.625 (55.530) Prec@5 88.125 (84.213) Epoch: [75][10670/11272] Time 0.820 (0.788) Data 0.001 (0.002) Loss 1.5950 (1.6577) Prec@1 56.875 (55.531) Prec@5 84.375 (84.212) Epoch: [75][10680/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.5288 (1.6577) Prec@1 60.000 (55.531) Prec@5 88.125 (84.212) Epoch: [75][10690/11272] Time 0.750 (0.788) Data 0.002 (0.002) Loss 1.6778 (1.6577) Prec@1 57.500 (55.530) Prec@5 82.500 (84.211) Epoch: [75][10700/11272] Time 0.712 (0.788) Data 0.001 (0.002) Loss 1.4090 (1.6577) Prec@1 61.250 (55.530) Prec@5 85.625 (84.211) Epoch: [75][10710/11272] Time 0.846 (0.788) Data 0.002 (0.002) Loss 1.7476 (1.6577) Prec@1 51.250 (55.530) Prec@5 82.500 (84.211) Epoch: [75][10720/11272] Time 0.906 (0.788) Data 0.002 (0.002) Loss 1.6603 (1.6577) Prec@1 54.375 (55.530) Prec@5 85.000 (84.212) Epoch: [75][10730/11272] Time 0.738 (0.788) Data 0.002 (0.002) Loss 1.5401 (1.6576) Prec@1 61.250 (55.531) Prec@5 83.750 (84.212) Epoch: [75][10740/11272] Time 0.840 (0.788) Data 0.001 (0.002) Loss 1.8352 (1.6577) Prec@1 56.875 (55.530) Prec@5 82.500 (84.211) Epoch: [75][10750/11272] Time 0.832 (0.788) Data 0.002 (0.002) Loss 1.5416 (1.6577) Prec@1 58.125 (55.530) Prec@5 87.500 (84.212) Epoch: [75][10760/11272] Time 0.751 (0.788) Data 0.001 (0.002) Loss 1.5559 (1.6577) Prec@1 53.125 (55.529) Prec@5 86.250 (84.212) Epoch: [75][10770/11272] Time 0.725 (0.788) Data 0.001 (0.002) Loss 1.8284 (1.6577) Prec@1 49.375 (55.528) Prec@5 85.625 (84.213) Epoch: [75][10780/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.5795 (1.6577) Prec@1 58.750 (55.528) Prec@5 88.750 (84.213) Epoch: [75][10790/11272] Time 0.865 (0.788) Data 0.002 (0.002) Loss 1.7716 (1.6577) Prec@1 54.375 (55.527) Prec@5 85.000 (84.213) Epoch: [75][10800/11272] Time 0.740 (0.788) Data 0.002 (0.002) Loss 1.7338 (1.6577) Prec@1 57.500 (55.527) Prec@5 81.875 (84.213) Epoch: [75][10810/11272] Time 0.736 (0.788) Data 0.002 (0.002) Loss 1.7793 (1.6577) Prec@1 59.375 (55.529) Prec@5 80.625 (84.212) Epoch: [75][10820/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.7372 (1.6578) Prec@1 53.750 (55.530) Prec@5 83.750 (84.211) Epoch: [75][10830/11272] Time 0.811 (0.788) Data 0.001 (0.002) Loss 1.9126 (1.6578) Prec@1 54.375 (55.529) Prec@5 81.250 (84.211) Epoch: [75][10840/11272] Time 0.743 (0.788) Data 0.002 (0.002) Loss 1.7899 (1.6579) Prec@1 53.125 (55.528) Prec@5 83.125 (84.210) Epoch: [75][10850/11272] Time 0.731 (0.788) Data 0.002 (0.002) Loss 1.5624 (1.6579) Prec@1 57.500 (55.527) Prec@5 86.250 (84.209) Epoch: [75][10860/11272] Time 0.831 (0.788) Data 0.002 (0.002) Loss 1.7732 (1.6580) Prec@1 52.500 (55.525) Prec@5 82.500 (84.209) Epoch: [75][10870/11272] Time 0.817 (0.788) Data 0.002 (0.002) Loss 1.5722 (1.6580) Prec@1 61.250 (55.524) Prec@5 85.625 (84.208) Epoch: [75][10880/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.7546 (1.6581) Prec@1 52.500 (55.524) Prec@5 80.625 (84.207) Epoch: [75][10890/11272] Time 0.810 (0.788) Data 0.001 (0.002) Loss 1.5020 (1.6580) Prec@1 60.625 (55.524) Prec@5 86.250 (84.207) Epoch: [75][10900/11272] Time 0.829 (0.788) Data 0.002 (0.002) Loss 1.5748 (1.6581) Prec@1 58.125 (55.523) Prec@5 86.250 (84.206) Epoch: [75][10910/11272] Time 0.701 (0.788) Data 0.001 (0.002) Loss 1.7131 (1.6581) Prec@1 53.750 (55.523) Prec@5 84.375 (84.206) Epoch: [75][10920/11272] Time 0.710 (0.788) Data 0.001 (0.002) Loss 1.6026 (1.6582) Prec@1 56.250 (55.522) Prec@5 87.500 (84.205) Epoch: [75][10930/11272] Time 0.825 (0.788) Data 0.002 (0.002) Loss 1.5887 (1.6582) Prec@1 60.625 (55.521) Prec@5 85.000 (84.205) Epoch: [75][10940/11272] Time 0.822 (0.788) Data 0.002 (0.002) Loss 1.5760 (1.6582) Prec@1 54.375 (55.522) Prec@5 88.125 (84.206) Epoch: [75][10950/11272] Time 0.746 (0.788) Data 0.001 (0.002) Loss 1.7219 (1.6582) Prec@1 51.875 (55.522) Prec@5 83.125 (84.206) Epoch: [75][10960/11272] Time 0.719 (0.788) Data 0.002 (0.002) Loss 1.8573 (1.6581) Prec@1 55.000 (55.522) Prec@5 80.625 (84.206) Epoch: [75][10970/11272] Time 0.850 (0.788) Data 0.002 (0.002) Loss 1.5304 (1.6582) Prec@1 61.250 (55.521) Prec@5 85.625 (84.207) Epoch: [75][10980/11272] Time 0.878 (0.788) Data 0.002 (0.002) Loss 1.7553 (1.6582) Prec@1 50.625 (55.521) Prec@5 85.000 (84.207) Epoch: [75][10990/11272] Time 0.729 (0.788) Data 0.002 (0.002) Loss 1.5538 (1.6582) Prec@1 56.250 (55.520) Prec@5 83.750 (84.208) Epoch: [75][11000/11272] Time 0.721 (0.788) Data 0.002 (0.002) Loss 1.7132 (1.6583) Prec@1 53.750 (55.518) Prec@5 83.750 (84.206) Epoch: [75][11010/11272] Time 0.875 (0.788) Data 0.002 (0.002) Loss 1.5996 (1.6582) Prec@1 55.625 (55.518) Prec@5 85.625 (84.207) Epoch: [75][11020/11272] Time 0.719 (0.788) Data 0.001 (0.002) Loss 1.6316 (1.6583) Prec@1 57.500 (55.517) Prec@5 83.125 (84.207) Epoch: [75][11030/11272] Time 0.725 (0.788) Data 0.002 (0.002) Loss 1.4898 (1.6584) Prec@1 51.875 (55.514) Prec@5 89.375 (84.206) Epoch: [75][11040/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.5680 (1.6584) Prec@1 64.375 (55.513) Prec@5 88.125 (84.206) Epoch: [75][11050/11272] Time 0.841 (0.788) Data 0.002 (0.002) Loss 1.7489 (1.6585) Prec@1 54.375 (55.512) Prec@5 79.375 (84.205) Epoch: [75][11060/11272] Time 0.746 (0.788) Data 0.002 (0.002) Loss 1.5052 (1.6584) Prec@1 60.000 (55.513) Prec@5 86.250 (84.205) Epoch: [75][11070/11272] Time 0.726 (0.788) Data 0.002 (0.002) Loss 1.6849 (1.6584) Prec@1 55.000 (55.512) Prec@5 83.750 (84.207) Epoch: [75][11080/11272] Time 0.803 (0.788) Data 0.001 (0.002) Loss 1.5742 (1.6583) Prec@1 58.750 (55.512) Prec@5 83.125 (84.207) Epoch: [75][11090/11272] Time 0.832 (0.788) Data 0.001 (0.002) Loss 1.5239 (1.6583) Prec@1 63.125 (55.514) Prec@5 84.375 (84.207) Epoch: [75][11100/11272] Time 0.720 (0.788) Data 0.001 (0.002) Loss 1.5952 (1.6583) Prec@1 54.375 (55.512) Prec@5 85.000 (84.207) Epoch: [75][11110/11272] Time 0.732 (0.788) Data 0.001 (0.002) Loss 1.4675 (1.6583) Prec@1 60.000 (55.513) Prec@5 86.875 (84.207) Epoch: [75][11120/11272] Time 0.853 (0.788) Data 0.002 (0.002) Loss 1.8501 (1.6583) Prec@1 53.750 (55.515) Prec@5 76.250 (84.207) Epoch: [75][11130/11272] Time 0.822 (0.788) Data 0.001 (0.002) Loss 1.4228 (1.6583) Prec@1 59.375 (55.514) Prec@5 86.250 (84.207) Epoch: [75][11140/11272] Time 0.744 (0.788) Data 0.002 (0.002) Loss 1.6757 (1.6583) Prec@1 56.250 (55.513) Prec@5 83.750 (84.207) Epoch: [75][11150/11272] Time 0.804 (0.788) Data 0.002 (0.002) Loss 1.4323 (1.6583) Prec@1 61.875 (55.513) Prec@5 85.000 (84.208) Epoch: [75][11160/11272] Time 0.835 (0.788) Data 0.002 (0.002) Loss 1.6018 (1.6583) Prec@1 56.250 (55.515) Prec@5 86.250 (84.209) Epoch: [75][11170/11272] Time 0.715 (0.788) Data 0.002 (0.002) Loss 1.6788 (1.6583) Prec@1 58.125 (55.514) Prec@5 80.000 (84.209) Epoch: [75][11180/11272] Time 0.745 (0.788) Data 0.001 (0.002) Loss 1.6925 (1.6583) Prec@1 58.125 (55.513) Prec@5 83.750 (84.208) Epoch: [75][11190/11272] Time 0.844 (0.788) Data 0.001 (0.002) Loss 1.8606 (1.6583) Prec@1 53.750 (55.513) Prec@5 77.500 (84.208) Epoch: [75][11200/11272] Time 0.824 (0.788) Data 0.002 (0.002) Loss 1.4981 (1.6584) Prec@1 55.625 (55.512) Prec@5 89.375 (84.205) Epoch: [75][11210/11272] Time 0.750 (0.788) Data 0.001 (0.002) Loss 1.4407 (1.6584) Prec@1 64.375 (55.511) Prec@5 86.875 (84.204) Epoch: [75][11220/11272] Time 0.714 (0.788) Data 0.001 (0.002) Loss 1.7408 (1.6584) Prec@1 49.375 (55.510) Prec@5 84.375 (84.205) Epoch: [75][11230/11272] Time 0.848 (0.788) Data 0.002 (0.002) Loss 1.8025 (1.6584) Prec@1 55.625 (55.511) Prec@5 82.500 (84.204) Epoch: [75][11240/11272] Time 0.827 (0.788) Data 0.002 (0.002) Loss 1.5463 (1.6584) Prec@1 55.000 (55.509) Prec@5 86.250 (84.204) Epoch: [75][11250/11272] Time 0.715 (0.788) Data 0.001 (0.002) Loss 1.5080 (1.6584) Prec@1 53.750 (55.511) Prec@5 86.875 (84.205) Epoch: [75][11260/11272] Time 0.717 (0.788) Data 0.002 (0.002) Loss 1.6813 (1.6584) Prec@1 55.000 (55.512) Prec@5 84.375 (84.205) Epoch: [75][11270/11272] Time 0.784 (0.788) Data 0.000 (0.002) Loss 1.7445 (1.6584) Prec@1 51.250 (55.512) Prec@5 81.875 (84.204) Test: [0/229] Time 3.117 (3.117) Loss 1.2393 (1.2393) Prec@1 63.750 (63.750) Prec@5 94.375 (94.375) Test: [10/229] Time 0.366 (0.742) Loss 1.0416 (1.5884) Prec@1 66.875 (56.818) Prec@5 96.875 (87.330) Test: [20/229] Time 1.323 (0.678) Loss 2.0544 (1.6675) Prec@1 45.625 (54.375) Prec@5 80.000 (86.339) Test: [30/229] Time 0.431 (0.626) Loss 1.8839 (1.6066) Prec@1 50.000 (56.774) Prec@5 86.250 (86.815) Test: [40/229] Time 1.078 (0.614) Loss 0.4188 (1.6192) Prec@1 91.875 (56.235) Prec@5 95.625 (86.768) Test: [50/229] Time 0.421 (0.600) Loss 2.3955 (1.6819) Prec@1 31.250 (54.657) Prec@5 76.875 (85.478) Test: [60/229] Time 1.238 (0.599) Loss 2.1314 (1.6688) Prec@1 38.750 (55.113) Prec@5 83.750 (85.635) Test: [70/229] Time 0.410 (0.591) Loss 1.2975 (1.6750) Prec@1 73.125 (55.202) Prec@5 86.250 (85.555) Test: [80/229] Time 1.058 (0.589) Loss 1.9710 (1.6913) Prec@1 42.500 (54.375) Prec@5 88.125 (85.571) Test: [90/229] Time 0.341 (0.582) Loss 1.2040 (1.6933) Prec@1 76.875 (54.478) Prec@5 85.625 (85.543) Test: [100/229] Time 1.072 (0.583) Loss 2.1327 (1.6818) Prec@1 46.250 (54.870) Prec@5 83.750 (85.637) Test: [110/229] Time 0.354 (0.576) Loss 1.4004 (1.6627) Prec@1 63.125 (55.259) Prec@5 85.625 (85.816) Test: [120/229] Time 1.111 (0.577) Loss 2.9539 (1.6850) Prec@1 29.375 (54.659) Prec@5 74.375 (85.558) Test: [130/229] Time 0.320 (0.572) Loss 1.1617 (1.6657) Prec@1 62.500 (55.095) Prec@5 93.125 (85.740) Test: [140/229] Time 1.283 (0.576) Loss 1.8185 (1.6750) Prec@1 55.625 (54.840) Prec@5 80.000 (85.621) Test: [150/229] Time 0.315 (0.572) Loss 0.9914 (1.6864) Prec@1 76.250 (54.528) Prec@5 91.250 (85.550) Test: [160/229] Time 1.189 (0.574) Loss 1.9108 (1.6903) Prec@1 51.875 (54.425) Prec@5 81.875 (85.446) Test: [170/229] Time 0.419 (0.571) Loss 1.5703 (1.6988) Prec@1 56.875 (54.090) Prec@5 90.000 (85.358) Test: [180/229] Time 1.056 (0.572) Loss 2.3074 (1.7052) Prec@1 36.875 (54.057) Prec@5 71.875 (85.180) Test: [190/229] Time 0.397 (0.570) Loss 1.1790 (1.6926) Prec@1 68.750 (54.411) Prec@5 93.750 (85.295) Test: [200/229] Time 1.141 (0.571) Loss 1.7603 (1.6865) Prec@1 51.875 (54.437) Prec@5 79.375 (85.438) Test: [210/229] Time 0.378 (0.569) Loss 0.9655 (1.6758) Prec@1 74.375 (54.757) Prec@5 94.375 (85.572) Test: [220/229] Time 1.155 (0.571) Loss 1.4770 (1.6655) Prec@1 60.625 (55.107) Prec@5 89.375 (85.667) * Prec@1 55.403 Prec@5 85.719 Epoch: [76][0/11272] Time 4.617 (4.617) Data 3.650 (3.650) Loss 1.5427 (1.5427) Prec@1 57.500 (57.500) Prec@5 86.875 (86.875) Epoch: [76][10/11272] Time 0.822 (1.133) Data 0.001 (0.333) Loss 1.7911 (1.6422) Prec@1 49.375 (55.398) Prec@5 85.000 (84.659) Epoch: [76][20/11272] Time 0.731 (0.958) Data 0.002 (0.175) Loss 1.4464 (1.6202) Prec@1 60.625 (56.071) Prec@5 88.125 (84.821) Epoch: [76][30/11272] Time 0.728 (0.901) Data 0.002 (0.119) Loss 1.6122 (1.6434) Prec@1 58.750 (55.746) Prec@5 82.500 (84.093) Epoch: [76][40/11272] Time 0.828 (0.869) Data 0.001 (0.091) Loss 1.4177 (1.6352) Prec@1 63.125 (56.235) Prec@5 87.500 (83.994) Epoch: [76][50/11272] Time 0.808 (0.853) Data 0.001 (0.073) Loss 1.2333 (1.6148) Prec@1 65.000 (56.679) Prec@5 90.000 (84.620) Epoch: [76][60/11272] Time 0.735 (0.839) Data 0.002 (0.061) Loss 1.5068 (1.6140) Prec@1 58.125 (56.732) Prec@5 86.875 (84.723) Epoch: [76][70/11272] Time 0.728 (0.829) Data 0.001 (0.053) Loss 1.5540 (1.6076) Prec@1 59.375 (56.813) Prec@5 85.625 (84.947) Epoch: [76][80/11272] Time 0.809 (0.824) Data 0.002 (0.047) Loss 1.5277 (1.6107) Prec@1 58.750 (56.628) Prec@5 86.875 (84.892) Epoch: [76][90/11272] Time 0.707 (0.816) Data 0.003 (0.042) Loss 1.6485 (1.6178) Prec@1 56.875 (56.470) Prec@5 82.500 (84.794) Epoch: [76][100/11272] Time 0.694 (0.812) Data 0.001 (0.038) Loss 1.6249 (1.6224) Prec@1 57.500 (56.417) Prec@5 84.375 (84.759) Epoch: [76][110/11272] Time 0.861 (0.809) Data 0.002 (0.034) Loss 1.7259 (1.6268) Prec@1 55.000 (56.267) Prec@5 84.375 (84.758) Epoch: [76][120/11272] Time 0.843 (0.808) Data 0.002 (0.032) Loss 1.5454 (1.6292) Prec@1 59.375 (56.198) Prec@5 86.250 (84.706) Epoch: [76][130/11272] Time 0.743 (0.807) Data 0.002 (0.029) Loss 1.8466 (1.6283) Prec@1 50.000 (56.059) Prec@5 81.875 (84.857) Epoch: [76][140/11272] Time 0.717 (0.804) Data 0.001 (0.027) Loss 1.6037 (1.6305) Prec@1 56.250 (56.028) Prec@5 83.125 (84.761) Epoch: [76][150/11272] Time 0.832 (0.804) Data 0.001 (0.026) Loss 1.5378 (1.6282) Prec@1 58.125 (56.089) Prec@5 83.750 (84.789) Epoch: [76][160/11272] Time 0.902 (0.803) Data 0.002 (0.024) Loss 1.7776 (1.6292) Prec@1 54.375 (56.005) Prec@5 82.500 (84.786) Epoch: [76][170/11272] Time 0.741 (0.801) Data 0.002 (0.023) Loss 1.8421 (1.6344) Prec@1 50.000 (55.895) Prec@5 85.000 (84.660) Epoch: [76][180/11272] Time 0.743 (0.801) Data 0.002 (0.022) Loss 1.3460 (1.6350) Prec@1 67.500 (55.988) Prec@5 88.750 (84.644) Epoch: [76][190/11272] Time 0.896 (0.800) Data 0.002 (0.021) Loss 1.4457 (1.6345) Prec@1 63.125 (55.982) Prec@5 86.250 (84.660) Epoch: [76][200/11272] Time 0.837 (0.800) Data 0.002 (0.020) Loss 1.7873 (1.6332) Prec@1 54.375 (56.045) Prec@5 80.625 (84.708) Epoch: [76][210/11272] Time 0.731 (0.799) Data 0.002 (0.019) Loss 1.5504 (1.6346) Prec@1 59.375 (56.108) Prec@5 85.000 (84.650) Epoch: [76][220/11272] Time 0.855 (0.799) Data 0.002 (0.018) Loss 1.4935 (1.6368) Prec@1 61.875 (56.083) Prec@5 86.250 (84.598) Epoch: [76][230/11272] Time 0.792 (0.799) Data 0.001 (0.017) Loss 1.7243 (1.6381) Prec@1 53.750 (56.085) Prec@5 83.125 (84.556) Epoch: [76][240/11272] Time 0.745 (0.798) Data 0.001 (0.017) Loss 1.7215 (1.6389) Prec@1 48.125 (56.043) Prec@5 83.125 (84.528) Epoch: [76][250/11272] Time 0.732 (0.798) Data 0.001 (0.016) Loss 1.4088 (1.6380) Prec@1 63.125 (56.063) Prec@5 87.500 (84.529) Epoch: [76][260/11272] Time 0.846 (0.797) Data 0.002 (0.016) Loss 1.7117 (1.6359) Prec@1 55.000 (56.147) Prec@5 83.750 (84.557) Epoch: [76][270/11272] Time 0.850 (0.797) Data 0.002 (0.015) Loss 1.7186 (1.6369) Prec@1 53.125 (56.093) Prec@5 83.750 (84.520) Epoch: [76][280/11272] Time 0.721 (0.796) Data 0.001 (0.015) Loss 1.6978 (1.6365) Prec@1 55.000 (56.123) Prec@5 85.000 (84.522) Epoch: [76][290/11272] Time 0.751 (0.796) Data 0.002 (0.014) Loss 1.7677 (1.6345) Prec@1 52.500 (56.155) Prec@5 80.625 (84.538) Epoch: [76][300/11272] Time 0.826 (0.795) Data 0.002 (0.014) Loss 1.6389 (1.6366) Prec@1 56.250 (56.107) Prec@5 86.250 (84.525) Epoch: [76][310/11272] Time 0.872 (0.795) Data 0.002 (0.013) Loss 1.7353 (1.6358) Prec@1 55.000 (56.109) Prec@5 82.500 (84.562) Epoch: [76][320/11272] Time 0.719 (0.795) Data 0.002 (0.013) Loss 1.6326 (1.6356) Prec@1 56.250 (56.104) Prec@5 82.500 (84.568) Epoch: [76][330/11272] Time 0.714 (0.795) Data 0.002 (0.013) Loss 1.4140 (1.6353) Prec@1 61.250 (56.129) Prec@5 89.375 (84.551) Epoch: [76][340/11272] Time 0.812 (0.795) Data 0.001 (0.012) Loss 1.5519 (1.6322) Prec@1 56.875 (56.191) Prec@5 86.875 (84.617) Epoch: [76][350/11272] Time 0.849 (0.795) Data 0.002 (0.012) Loss 1.5514 (1.6303) Prec@1 59.375 (56.245) Prec@5 86.875 (84.649) Epoch: [76][360/11272] Time 0.713 (0.794) Data 0.002 (0.012) Loss 1.6726 (1.6319) Prec@1 54.375 (56.195) Prec@5 87.500 (84.638) Epoch: [76][370/11272] Time 0.831 (0.793) Data 0.002 (0.011) Loss 1.7549 (1.6319) Prec@1 58.125 (56.225) Prec@5 83.750 (84.613) Epoch: [76][380/11272] Time 0.828 (0.793) Data 0.001 (0.011) Loss 1.7878 (1.6334) Prec@1 58.125 (56.201) Prec@5 80.625 (84.590) Epoch: [76][390/11272] Time 0.712 (0.792) Data 0.002 (0.011) Loss 1.7255 (1.6340) Prec@1 53.125 (56.221) Prec@5 85.000 (84.570) Epoch: [76][400/11272] Time 0.761 (0.792) Data 0.001 (0.011) Loss 1.6258 (1.6341) Prec@1 54.375 (56.203) Prec@5 86.875 (84.557) Epoch: [76][410/11272] Time 0.825 (0.792) Data 0.002 (0.010) Loss 1.5512 (1.6333) Prec@1 63.750 (56.238) Prec@5 86.875 (84.571) Epoch: [76][420/11272] Time 0.817 (0.791) Data 0.002 (0.010) Loss 1.8891 (1.6342) Prec@1 54.375 (56.247) Prec@5 80.625 (84.562) Epoch: [76][430/11272] Time 0.714 (0.791) Data 0.002 (0.010) Loss 1.5246 (1.6335) Prec@1 59.375 (56.283) Prec@5 84.375 (84.558) Epoch: [76][440/11272] Time 0.723 (0.791) Data 0.002 (0.010) Loss 1.9175 (1.6340) Prec@1 50.000 (56.280) Prec@5 80.000 (84.539) Epoch: [76][450/11272] Time 0.839 (0.791) Data 0.002 (0.010) Loss 1.5473 (1.6329) Prec@1 58.125 (56.346) Prec@5 82.500 (84.534) Epoch: [76][460/11272] Time 0.845 (0.791) Data 0.002 (0.010) Loss 1.7228 (1.6325) Prec@1 53.125 (56.326) Prec@5 86.250 (84.577) Epoch: [76][470/11272] Time 0.742 (0.791) Data 0.003 (0.009) Loss 1.7982 (1.6325) Prec@1 51.875 (56.339) Prec@5 81.875 (84.585) Epoch: [76][480/11272] Time 0.727 (0.790) Data 0.002 (0.009) Loss 1.7840 (1.6318) Prec@1 53.750 (56.363) Prec@5 81.250 (84.593) Epoch: [76][490/11272] Time 0.824 (0.790) Data 0.001 (0.009) Loss 1.7192 (1.6310) Prec@1 52.500 (56.372) Prec@5 81.250 (84.608) Epoch: [76][500/11272] Time 0.686 (0.790) Data 0.001 (0.009) Loss 1.5350 (1.6304) Prec@1 56.250 (56.369) Prec@5 88.125 (84.637) Epoch: [76][510/11272] Time 0.710 (0.790) Data 0.002 (0.009) Loss 1.4805 (1.6294) Prec@1 61.875 (56.398) Prec@5 88.125 (84.666) Epoch: [76][520/11272] Time 0.858 (0.790) Data 0.002 (0.009) Loss 1.6173 (1.6294) Prec@1 56.250 (56.389) Prec@5 83.125 (84.670) Epoch: [76][530/11272] Time 0.847 (0.789) Data 0.002 (0.008) Loss 1.7080 (1.6298) Prec@1 56.875 (56.416) Prec@5 83.125 (84.652) Epoch: [76][540/11272] Time 0.684 (0.790) Data 0.001 (0.008) Loss 1.5165 (1.6283) Prec@1 63.125 (56.454) Prec@5 86.875 (84.675) Epoch: [76][550/11272] Time 0.729 (0.789) Data 0.002 (0.008) Loss 1.8858 (1.6292) Prec@1 53.750 (56.449) Prec@5 76.875 (84.653) Epoch: [76][560/11272] Time 0.830 (0.789) Data 0.002 (0.008) Loss 1.5180 (1.6285) Prec@1 62.500 (56.441) Prec@5 86.875 (84.669) Epoch: [76][570/11272] Time 0.790 (0.789) Data 0.001 (0.008) Loss 1.7065 (1.6287) Prec@1 53.125 (56.442) Prec@5 85.625 (84.672) Epoch: [76][580/11272] Time 0.743 (0.789) Data 0.002 (0.008) Loss 1.6975 (1.6300) Prec@1 58.125 (56.422) Prec@5 83.125 (84.648) Epoch: [76][590/11272] Time 0.722 (0.789) Data 0.001 (0.008) Loss 1.7150 (1.6300) Prec@1 56.875 (56.416) Prec@5 80.625 (84.624) Epoch: [76][600/11272] Time 0.829 (0.789) Data 0.001 (0.008) Loss 1.6674 (1.6296) Prec@1 56.250 (56.417) Prec@5 85.625 (84.621) Epoch: [76][610/11272] Time 0.832 (0.788) Data 0.002 (0.008) Loss 1.7589 (1.6295) Prec@1 54.375 (56.410) Prec@5 83.750 (84.627) Epoch: [76][620/11272] Time 0.755 (0.788) Data 0.003 (0.007) Loss 1.6871 (1.6287) Prec@1 56.875 (56.416) Prec@5 83.125 (84.642) Epoch: [76][630/11272] Time 0.804 (0.789) Data 0.002 (0.007) Loss 1.8554 (1.6286) Prec@1 53.125 (56.422) Prec@5 81.250 (84.640) Epoch: [76][640/11272] Time 0.931 (0.789) Data 0.002 (0.007) Loss 1.7694 (1.6281) Prec@1 51.875 (56.449) Prec@5 80.625 (84.656) Epoch: [76][650/11272] Time 0.729 (0.789) Data 0.001 (0.007) Loss 1.3983 (1.6280) Prec@1 65.625 (56.459) Prec@5 90.000 (84.675) Epoch: [76][660/11272] Time 0.729 (0.789) Data 0.002 (0.007) Loss 1.7835 (1.6278) Prec@1 51.250 (56.481) Prec@5 85.625 (84.676) Epoch: [76][670/11272] Time 0.815 (0.789) Data 0.001 (0.007) Loss 1.4861 (1.6273) Prec@1 58.125 (56.479) Prec@5 86.875 (84.687) Epoch: [76][680/11272] Time 0.833 (0.788) Data 0.002 (0.007) Loss 1.5492 (1.6273) Prec@1 58.125 (56.468) Prec@5 89.375 (84.677) Epoch: [76][690/11272] Time 0.752 (0.788) Data 0.001 (0.007) Loss 1.6852 (1.6272) Prec@1 56.875 (56.459) Prec@5 83.750 (84.692) Epoch: [76][700/11272] Time 0.713 (0.788) Data 0.002 (0.007) Loss 1.7341 (1.6273) Prec@1 57.500 (56.447) Prec@5 81.875 (84.685) Epoch: [76][710/11272] Time 0.838 (0.788) Data 0.001 (0.007) Loss 1.8560 (1.6277) Prec@1 49.375 (56.436) Prec@5 81.875 (84.676) Epoch: [76][720/11272] Time 0.831 (0.788) Data 0.001 (0.007) Loss 1.7713 (1.6273) Prec@1 53.125 (56.433) Prec@5 80.000 (84.675) Epoch: [76][730/11272] Time 0.736 (0.788) Data 0.002 (0.007) Loss 1.6358 (1.6278) Prec@1 58.125 (56.414) Prec@5 85.000 (84.673) Epoch: [76][740/11272] Time 0.740 (0.788) Data 0.001 (0.007) Loss 1.3725 (1.6282) Prec@1 63.125 (56.424) Prec@5 88.750 (84.676) Epoch: [76][750/11272] Time 0.841 (0.788) Data 0.002 (0.006) Loss 1.9390 (1.6279) Prec@1 48.125 (56.426) Prec@5 80.625 (84.685) Epoch: [76][760/11272] Time 0.717 (0.788) Data 0.003 (0.006) Loss 1.7389 (1.6285) Prec@1 60.000 (56.423) Prec@5 86.250 (84.682) Epoch: [76][770/11272] Time 0.740 (0.788) Data 0.002 (0.006) Loss 1.4155 (1.6277) Prec@1 59.375 (56.441) Prec@5 90.625 (84.697) Epoch: [76][780/11272] Time 0.821 (0.788) Data 0.002 (0.006) Loss 1.4392 (1.6279) Prec@1 61.250 (56.430) Prec@5 89.375 (84.698) Epoch: [76][790/11272] Time 0.853 (0.788) Data 0.002 (0.006) Loss 1.8147 (1.6282) Prec@1 49.375 (56.403) Prec@5 81.875 (84.690) Epoch: [76][800/11272] Time 0.734 (0.788) Data 0.002 (0.006) Loss 1.7539 (1.6287) Prec@1 53.125 (56.390) Prec@5 81.875 (84.686) Epoch: [76][810/11272] Time 0.728 (0.788) Data 0.002 (0.006) Loss 1.7699 (1.6288) Prec@1 50.000 (56.372) Prec@5 84.375 (84.695) Epoch: [76][820/11272] Time 0.828 (0.788) Data 0.001 (0.006) Loss 1.6445 (1.6287) Prec@1 55.000 (56.370) Prec@5 83.750 (84.690) Epoch: [76][830/11272] Time 0.813 (0.788) Data 0.002 (0.006) Loss 1.7839 (1.6294) Prec@1 51.875 (56.345) Prec@5 81.875 (84.680) Epoch: [76][840/11272] Time 0.725 (0.788) Data 0.002 (0.006) Loss 1.8041 (1.6305) Prec@1 48.750 (56.301) Prec@5 82.500 (84.682) Epoch: [76][850/11272] Time 0.750 (0.788) Data 0.002 (0.006) Loss 1.7775 (1.6306) Prec@1 49.375 (56.293) Prec@5 81.875 (84.698) Epoch: [76][860/11272] Time 0.810 (0.788) Data 0.002 (0.006) Loss 1.6730 (1.6303) Prec@1 54.375 (56.300) Prec@5 83.750 (84.700) Epoch: [76][870/11272] Time 0.781 (0.787) Data 0.001 (0.006) Loss 1.6859 (1.6310) Prec@1 55.625 (56.284) Prec@5 85.625 (84.689) Epoch: [76][880/11272] Time 0.728 (0.787) Data 0.002 (0.006) Loss 1.6657 (1.6317) Prec@1 50.000 (56.254) Prec@5 88.125 (84.679) Epoch: [76][890/11272] Time 0.838 (0.787) Data 0.001 (0.006) Loss 1.8389 (1.6324) Prec@1 53.750 (56.246) Prec@5 82.500 (84.664) Epoch: [76][900/11272] Time 0.837 (0.787) Data 0.002 (0.006) Loss 1.5291 (1.6329) Prec@1 58.125 (56.232) Prec@5 85.000 (84.656) Epoch: [76][910/11272] Time 0.741 (0.787) Data 0.001 (0.006) Loss 1.7610 (1.6330) Prec@1 55.000 (56.234) Prec@5 81.250 (84.651) Epoch: [76][920/11272] Time 0.720 (0.787) Data 0.002 (0.006) Loss 1.7844 (1.6332) Prec@1 49.375 (56.226) Prec@5 80.000 (84.650) Epoch: [76][930/11272] Time 0.862 (0.787) Data 0.001 (0.006) Loss 1.7130 (1.6331) Prec@1 52.500 (56.226) Prec@5 83.750 (84.652) Epoch: [76][940/11272] Time 0.848 (0.787) Data 0.001 (0.005) Loss 1.5615 (1.6328) Prec@1 59.375 (56.237) Prec@5 86.250 (84.660) Epoch: [76][950/11272] Time 0.722 (0.787) Data 0.002 (0.005) Loss 1.5969 (1.6334) Prec@1 54.375 (56.221) Prec@5 83.750 (84.655) Epoch: [76][960/11272] Time 0.735 (0.787) Data 0.002 (0.005) Loss 1.7732 (1.6336) Prec@1 56.250 (56.217) Prec@5 84.375 (84.643) Epoch: [76][970/11272] Time 0.832 (0.787) Data 0.002 (0.005) Loss 1.6578 (1.6335) Prec@1 56.875 (56.216) Prec@5 85.625 (84.648) Epoch: [76][980/11272] Time 0.826 (0.787) Data 0.002 (0.005) Loss 1.4963 (1.6333) Prec@1 59.375 (56.221) Prec@5 87.500 (84.641) Epoch: [76][990/11272] Time 0.724 (0.787) Data 0.002 (0.005) Loss 1.7914 (1.6332) Prec@1 56.250 (56.230) Prec@5 78.750 (84.639) Epoch: [76][1000/11272] Time 0.756 (0.787) Data 0.002 (0.005) Loss 1.6648 (1.6332) Prec@1 55.625 (56.234) Prec@5 83.125 (84.637) Epoch: [76][1010/11272] Time 0.803 (0.787) Data 0.002 (0.005) Loss 1.7553 (1.6331) Prec@1 55.000 (56.249) Prec@5 80.625 (84.646) Epoch: [76][1020/11272] Time 0.739 (0.787) Data 0.003 (0.005) Loss 1.7622 (1.6333) Prec@1 46.875 (56.233) Prec@5 83.750 (84.654) Epoch: [76][1030/11272] Time 0.738 (0.787) Data 0.002 (0.005) Loss 1.3430 (1.6332) Prec@1 62.500 (56.239) Prec@5 88.750 (84.648) Epoch: [76][1040/11272] Time 0.831 (0.787) Data 0.002 (0.005) Loss 1.7152 (1.6338) Prec@1 55.625 (56.215) Prec@5 85.625 (84.634) Epoch: [76][1050/11272] Time 0.835 (0.787) Data 0.002 (0.005) Loss 1.4197 (1.6335) Prec@1 66.875 (56.230) Prec@5 85.625 (84.647) Epoch: [76][1060/11272] Time 0.759 (0.787) Data 0.002 (0.005) Loss 1.6544 (1.6338) Prec@1 60.000 (56.222) Prec@5 83.125 (84.635) Epoch: [76][1070/11272] Time 0.735 (0.787) Data 0.002 (0.005) Loss 1.7523 (1.6336) Prec@1 55.000 (56.212) Prec@5 83.125 (84.632) Epoch: [76][1080/11272] Time 0.832 (0.787) Data 0.002 (0.005) Loss 1.5462 (1.6341) Prec@1 56.875 (56.203) Prec@5 85.625 (84.623) Epoch: [76][1090/11272] Time 0.834 (0.787) Data 0.002 (0.005) Loss 1.5935 (1.6349) Prec@1 61.875 (56.192) Prec@5 84.375 (84.610) Epoch: [76][1100/11272] Time 0.725 (0.787) Data 0.001 (0.005) Loss 1.6464 (1.6343) Prec@1 56.875 (56.199) Prec@5 84.375 (84.620) Epoch: [76][1110/11272] Time 0.727 (0.787) Data 0.001 (0.005) Loss 1.7156 (1.6342) Prec@1 53.750 (56.193) Prec@5 81.875 (84.617) Epoch: [76][1120/11272] Time 0.839 (0.787) Data 0.002 (0.005) Loss 1.6328 (1.6343) Prec@1 56.875 (56.178) Prec@5 83.125 (84.611) Epoch: [76][1130/11272] Time 0.837 (0.787) Data 0.002 (0.005) Loss 1.4637 (1.6339) Prec@1 57.500 (56.181) Prec@5 86.875 (84.615) Epoch: [76][1140/11272] Time 0.738 (0.787) Data 0.002 (0.005) Loss 1.5951 (1.6340) Prec@1 61.250 (56.176) Prec@5 84.375 (84.614) Epoch: [76][1150/11272] Time 0.793 (0.787) Data 0.001 (0.005) Loss 1.7785 (1.6339) Prec@1 56.250 (56.185) Prec@5 85.625 (84.606) Epoch: [76][1160/11272] Time 0.841 (0.787) Data 0.001 (0.005) Loss 1.6641 (1.6344) Prec@1 53.125 (56.169) Prec@5 84.375 (84.606) Epoch: [76][1170/11272] Time 0.714 (0.787) Data 0.001 (0.005) Loss 1.6610 (1.6347) Prec@1 58.125 (56.167) Prec@5 84.375 (84.608) Epoch: [76][1180/11272] Time 0.734 (0.786) Data 0.002 (0.005) Loss 1.3210 (1.6345) Prec@1 57.500 (56.167) Prec@5 92.500 (84.613) Epoch: [76][1190/11272] Time 0.860 (0.787) Data 0.002 (0.005) Loss 1.6949 (1.6341) Prec@1 51.250 (56.171) Prec@5 81.250 (84.614) Epoch: [76][1200/11272] Time 0.821 (0.786) Data 0.001 (0.005) Loss 1.8517 (1.6347) Prec@1 50.625 (56.163) Prec@5 83.125 (84.609) Epoch: [76][1210/11272] Time 0.712 (0.786) Data 0.001 (0.005) Loss 1.6230 (1.6351) Prec@1 56.250 (56.155) Prec@5 85.000 (84.607) Epoch: [76][1220/11272] Time 0.737 (0.786) Data 0.001 (0.005) Loss 1.6906 (1.6344) Prec@1 57.500 (56.169) Prec@5 84.375 (84.624) Epoch: [76][1230/11272] Time 0.827 (0.786) Data 0.002 (0.005) Loss 1.4235 (1.6333) Prec@1 60.625 (56.186) Prec@5 86.875 (84.640) Epoch: [76][1240/11272] Time 0.843 (0.786) Data 0.002 (0.005) Loss 1.7025 (1.6336) Prec@1 50.625 (56.172) Prec@5 80.625 (84.634) Epoch: [76][1250/11272] Time 0.717 (0.786) Data 0.001 (0.005) Loss 1.6705 (1.6336) Prec@1 57.500 (56.170) Prec@5 87.500 (84.636) Epoch: [76][1260/11272] Time 0.727 (0.786) Data 0.001 (0.004) Loss 1.8689 (1.6334) Prec@1 48.125 (56.158) Prec@5 81.875 (84.638) Epoch: [76][1270/11272] Time 0.793 (0.786) Data 0.001 (0.004) Loss 1.7894 (1.6342) Prec@1 56.875 (56.139) Prec@5 81.250 (84.620) Epoch: [76][1280/11272] Time 0.813 (0.786) Data 0.002 (0.004) Loss 1.5544 (1.6340) Prec@1 59.375 (56.142) Prec@5 86.875 (84.624) Epoch: [76][1290/11272] Time 0.754 (0.786) Data 0.002 (0.004) Loss 1.7089 (1.6339) Prec@1 54.375 (56.156) Prec@5 83.750 (84.627) Epoch: [76][1300/11272] Time 0.804 (0.786) Data 0.002 (0.004) Loss 1.7188 (1.6343) Prec@1 55.625 (56.148) Prec@5 79.375 (84.621) Epoch: [76][1310/11272] Time 0.814 (0.786) Data 0.001 (0.004) Loss 1.8644 (1.6350) Prec@1 50.625 (56.138) Prec@5 84.375 (84.614) Epoch: [76][1320/11272] Time 0.712 (0.786) Data 0.002 (0.004) Loss 1.5981 (1.6350) Prec@1 58.750 (56.138) Prec@5 84.375 (84.607) Epoch: [76][1330/11272] Time 0.737 (0.786) Data 0.002 (0.004) Loss 1.6307 (1.6348) Prec@1 53.125 (56.141) Prec@5 85.000 (84.611) Epoch: [76][1340/11272] Time 0.828 (0.786) Data 0.001 (0.004) Loss 1.6424 (1.6349) Prec@1 57.500 (56.148) Prec@5 83.125 (84.602) Epoch: [76][1350/11272] Time 0.821 (0.786) Data 0.002 (0.004) Loss 1.4645 (1.6350) Prec@1 56.250 (56.151) Prec@5 90.625 (84.610) Epoch: [76][1360/11272] Time 0.715 (0.786) Data 0.001 (0.004) Loss 1.7280 (1.6351) Prec@1 51.250 (56.158) Prec@5 78.125 (84.604) Epoch: [76][1370/11272] Time 0.743 (0.786) Data 0.002 (0.004) Loss 1.7223 (1.6350) Prec@1 54.375 (56.162) Prec@5 83.750 (84.602) Epoch: [76][1380/11272] Time 0.816 (0.786) Data 0.002 (0.004) Loss 1.9749 (1.6352) Prec@1 50.625 (56.159) Prec@5 77.500 (84.597) Epoch: [76][1390/11272] Time 0.826 (0.786) Data 0.002 (0.004) Loss 1.4348 (1.6348) Prec@1 63.125 (56.167) Prec@5 87.500 (84.608) Epoch: [76][1400/11272] Time 0.754 (0.786) Data 0.001 (0.004) Loss 1.5299 (1.6347) Prec@1 56.875 (56.163) Prec@5 85.000 (84.608) Epoch: [76][1410/11272] Time 0.708 (0.786) Data 0.002 (0.004) Loss 1.6805 (1.6353) Prec@1 55.000 (56.158) Prec@5 84.375 (84.599) Epoch: [76][1420/11272] Time 0.822 (0.786) Data 0.002 (0.004) Loss 1.5798 (1.6357) Prec@1 60.000 (56.165) Prec@5 83.750 (84.590) Epoch: [76][1430/11272] Time 0.726 (0.786) Data 0.002 (0.004) Loss 1.4407 (1.6356) Prec@1 61.250 (56.164) Prec@5 88.750 (84.596) Epoch: [76][1440/11272] Time 0.724 (0.785) Data 0.002 (0.004) Loss 1.7200 (1.6359) Prec@1 58.750 (56.152) Prec@5 83.750 (84.591) Epoch: [76][1450/11272] Time 0.830 (0.786) Data 0.001 (0.004) Loss 1.6830 (1.6360) Prec@1 55.000 (56.151) Prec@5 80.625 (84.583) Epoch: [76][1460/11272] Time 0.836 (0.786) Data 0.002 (0.004) Loss 1.7638 (1.6363) Prec@1 53.125 (56.143) Prec@5 80.000 (84.574) Epoch: [76][1470/11272] Time 0.718 (0.786) Data 0.002 (0.004) Loss 1.6063 (1.6363) Prec@1 55.000 (56.142) Prec@5 85.625 (84.582) Epoch: [76][1480/11272] Time 0.713 (0.786) Data 0.001 (0.004) Loss 1.7644 (1.6364) Prec@1 50.625 (56.147) Prec@5 82.500 (84.575) Epoch: [76][1490/11272] Time 0.841 (0.786) Data 0.002 (0.004) Loss 1.6957 (1.6359) Prec@1 53.125 (56.152) Prec@5 82.500 (84.586) Epoch: [76][1500/11272] Time 0.816 (0.786) Data 0.002 (0.004) Loss 1.3664 (1.6358) Prec@1 60.625 (56.150) Prec@5 86.875 (84.589) Epoch: [76][1510/11272] Time 0.752 (0.786) Data 0.002 (0.004) Loss 1.5207 (1.6352) Prec@1 58.750 (56.165) Prec@5 88.750 (84.602) Epoch: [76][1520/11272] Time 0.745 (0.786) Data 0.002 (0.004) Loss 1.7361 (1.6354) Prec@1 59.375 (56.165) Prec@5 80.625 (84.595) Epoch: [76][1530/11272] Time 0.858 (0.786) Data 0.002 (0.004) Loss 1.4725 (1.6350) Prec@1 56.875 (56.170) Prec@5 86.875 (84.603) Epoch: [76][1540/11272] Time 0.839 (0.786) Data 0.002 (0.004) Loss 1.6697 (1.6349) Prec@1 55.000 (56.170) Prec@5 84.375 (84.601) Epoch: [76][1550/11272] Time 0.686 (0.786) Data 0.001 (0.004) Loss 1.8807 (1.6347) Prec@1 53.750 (56.171) Prec@5 79.375 (84.608) Epoch: [76][1560/11272] Time 0.857 (0.786) Data 0.002 (0.004) Loss 1.7872 (1.6349) Prec@1 51.875 (56.161) Prec@5 83.750 (84.606) Epoch: [76][1570/11272] Time 0.863 (0.786) Data 0.002 (0.004) Loss 1.8192 (1.6349) Prec@1 48.750 (56.161) Prec@5 83.125 (84.599) Epoch: [76][1580/11272] Time 0.712 (0.786) Data 0.002 (0.004) Loss 1.6802 (1.6353) Prec@1 56.250 (56.148) Prec@5 84.375 (84.594) Epoch: [76][1590/11272] Time 0.737 (0.786) Data 0.001 (0.004) Loss 1.7411 (1.6357) Prec@1 56.875 (56.144) Prec@5 81.875 (84.589) Epoch: [76][1600/11272] Time 0.808 (0.786) Data 0.001 (0.004) Loss 1.6650 (1.6356) Prec@1 51.875 (56.147) Prec@5 84.375 (84.592) Epoch: [76][1610/11272] Time 0.832 (0.786) Data 0.002 (0.004) Loss 1.5559 (1.6350) Prec@1 55.000 (56.160) Prec@5 86.875 (84.607) Epoch: [76][1620/11272] Time 0.721 (0.786) Data 0.002 (0.004) Loss 1.6279 (1.6348) Prec@1 60.625 (56.172) Prec@5 81.250 (84.609) Epoch: [76][1630/11272] Time 0.765 (0.785) Data 0.002 (0.004) Loss 1.5596 (1.6349) Prec@1 55.625 (56.161) Prec@5 86.250 (84.606) Epoch: [76][1640/11272] Time 0.851 (0.786) Data 0.002 (0.004) Loss 1.5000 (1.6348) Prec@1 63.125 (56.172) Prec@5 86.250 (84.605) Epoch: [76][1650/11272] Time 0.838 (0.785) Data 0.002 (0.004) Loss 1.7936 (1.6349) Prec@1 54.375 (56.164) Prec@5 81.875 (84.607) Epoch: [76][1660/11272] Time 0.721 (0.785) Data 0.002 (0.004) Loss 1.6863 (1.6349) Prec@1 53.125 (56.160) Prec@5 84.375 (84.611) Epoch: [76][1670/11272] Time 0.737 (0.785) Data 0.001 (0.004) Loss 1.8776 (1.6352) Prec@1 49.375 (56.152) Prec@5 81.875 (84.605) Epoch: [76][1680/11272] Time 0.816 (0.785) Data 0.002 (0.004) Loss 1.6087 (1.6354) Prec@1 56.875 (56.146) Prec@5 85.000 (84.600) Epoch: [76][1690/11272] Time 0.712 (0.785) Data 0.003 (0.004) Loss 1.6715 (1.6354) Prec@1 54.375 (56.149) Prec@5 83.125 (84.595) Epoch: [76][1700/11272] Time 0.743 (0.785) Data 0.001 (0.004) Loss 1.4421 (1.6354) Prec@1 60.000 (56.145) Prec@5 90.000 (84.601) Epoch: [76][1710/11272] Time 0.831 (0.785) Data 0.002 (0.004) Loss 1.5682 (1.6353) Prec@1 56.875 (56.152) Prec@5 86.250 (84.597) Epoch: [76][1720/11272] Time 0.810 (0.785) Data 0.001 (0.004) Loss 1.9039 (1.6355) Prec@1 49.375 (56.146) Prec@5 79.375 (84.595) Epoch: [76][1730/11272] Time 0.731 (0.785) Data 0.002 (0.004) Loss 1.6626 (1.6353) Prec@1 56.875 (56.151) Prec@5 81.875 (84.592) Epoch: [76][1740/11272] Time 0.735 (0.785) Data 0.002 (0.004) Loss 1.5311 (1.6354) Prec@1 60.625 (56.150) Prec@5 85.625 (84.591) Epoch: [76][1750/11272] Time 0.824 (0.785) Data 0.002 (0.004) Loss 1.4803 (1.6351) Prec@1 55.625 (56.145) Prec@5 88.750 (84.599) Epoch: [76][1760/11272] Time 0.853 (0.785) Data 0.001 (0.004) Loss 1.6875 (1.6354) Prec@1 55.625 (56.128) Prec@5 83.750 (84.590) Epoch: [76][1770/11272] Time 0.708 (0.785) Data 0.001 (0.004) Loss 1.6016 (1.6354) Prec@1 58.125 (56.122) Prec@5 86.875 (84.591) Epoch: [76][1780/11272] Time 0.725 (0.785) Data 0.001 (0.004) Loss 1.7534 (1.6354) Prec@1 54.375 (56.120) Prec@5 81.250 (84.590) Epoch: [76][1790/11272] Time 0.826 (0.785) Data 0.001 (0.004) Loss 1.4617 (1.6353) Prec@1 60.000 (56.123) Prec@5 88.125 (84.595) Epoch: [76][1800/11272] Time 0.820 (0.785) Data 0.001 (0.004) Loss 1.6477 (1.6353) Prec@1 58.125 (56.121) Prec@5 84.375 (84.593) Epoch: [76][1810/11272] Time 0.759 (0.785) Data 0.002 (0.004) Loss 1.8293 (1.6355) Prec@1 50.000 (56.111) Prec@5 81.875 (84.592) Epoch: [76][1820/11272] Time 0.867 (0.785) Data 0.002 (0.004) Loss 1.8057 (1.6360) Prec@1 54.375 (56.102) Prec@5 80.625 (84.587) Epoch: [76][1830/11272] Time 0.843 (0.785) Data 0.001 (0.004) Loss 1.5730 (1.6358) Prec@1 52.500 (56.103) Prec@5 85.625 (84.587) Epoch: [76][1840/11272] Time 0.752 (0.785) Data 0.001 (0.004) Loss 1.5124 (1.6360) Prec@1 57.500 (56.097) Prec@5 85.625 (84.581) Epoch: [76][1850/11272] Time 0.739 (0.785) Data 0.002 (0.004) Loss 1.9744 (1.6356) Prec@1 50.000 (56.105) Prec@5 82.500 (84.589) Epoch: [76][1860/11272] Time 0.821 (0.785) Data 0.001 (0.004) Loss 1.3738 (1.6351) Prec@1 57.500 (56.116) Prec@5 89.375 (84.594) Epoch: [76][1870/11272] Time 0.879 (0.785) Data 0.002 (0.004) Loss 1.4894 (1.6353) Prec@1 59.375 (56.111) Prec@5 83.750 (84.591) Epoch: [76][1880/11272] Time 0.708 (0.785) Data 0.001 (0.004) Loss 1.6678 (1.6352) Prec@1 56.875 (56.106) Prec@5 81.250 (84.589) Epoch: [76][1890/11272] Time 0.744 (0.785) Data 0.002 (0.004) Loss 1.5939 (1.6351) Prec@1 56.250 (56.104) Prec@5 86.250 (84.590) Epoch: [76][1900/11272] Time 0.838 (0.785) Data 0.002 (0.004) Loss 1.3641 (1.6350) Prec@1 65.625 (56.116) Prec@5 87.500 (84.583) Epoch: [76][1910/11272] Time 0.839 (0.785) Data 0.002 (0.004) Loss 1.7514 (1.6351) Prec@1 52.500 (56.117) Prec@5 83.125 (84.581) Epoch: [76][1920/11272] Time 0.739 (0.785) Data 0.001 (0.004) Loss 1.6535 (1.6348) Prec@1 58.125 (56.121) Prec@5 84.375 (84.589) Epoch: [76][1930/11272] Time 0.732 (0.785) Data 0.002 (0.003) Loss 1.6585 (1.6349) Prec@1 55.625 (56.117) Prec@5 86.250 (84.593) Epoch: [76][1940/11272] Time 0.871 (0.785) Data 0.002 (0.003) Loss 1.6161 (1.6349) Prec@1 58.125 (56.114) Prec@5 86.250 (84.601) Epoch: [76][1950/11272] Time 0.722 (0.785) Data 0.003 (0.003) Loss 1.6870 (1.6351) Prec@1 52.500 (56.104) Prec@5 85.000 (84.602) Epoch: [76][1960/11272] Time 0.752 (0.785) Data 0.002 (0.003) Loss 1.6010 (1.6351) Prec@1 51.250 (56.096) Prec@5 88.750 (84.604) Epoch: [76][1970/11272] Time 0.817 (0.785) Data 0.002 (0.003) Loss 1.6070 (1.6351) Prec@1 53.125 (56.089) Prec@5 86.250 (84.605) Epoch: [76][1980/11272] Time 0.878 (0.785) Data 0.002 (0.003) Loss 1.5417 (1.6349) Prec@1 60.000 (56.093) Prec@5 84.375 (84.610) Epoch: [76][1990/11272] Time 0.715 (0.785) Data 0.001 (0.003) Loss 1.6331 (1.6348) Prec@1 56.875 (56.098) Prec@5 85.000 (84.609) Epoch: [76][2000/11272] Time 0.755 (0.785) Data 0.002 (0.003) Loss 1.5022 (1.6352) Prec@1 61.875 (56.091) Prec@5 85.625 (84.601) Epoch: [76][2010/11272] Time 0.873 (0.786) Data 0.002 (0.003) Loss 1.6312 (1.6350) Prec@1 54.375 (56.099) Prec@5 86.250 (84.607) Epoch: [76][2020/11272] Time 0.832 (0.786) Data 0.002 (0.003) Loss 2.0023 (1.6351) Prec@1 48.750 (56.097) Prec@5 77.500 (84.608) Epoch: [76][2030/11272] Time 0.705 (0.786) Data 0.001 (0.003) Loss 1.6611 (1.6353) Prec@1 52.500 (56.084) Prec@5 83.750 (84.610) Epoch: [76][2040/11272] Time 0.741 (0.786) Data 0.001 (0.003) Loss 1.5370 (1.6355) Prec@1 58.750 (56.080) Prec@5 86.250 (84.608) Epoch: [76][2050/11272] Time 0.821 (0.786) Data 0.001 (0.003) Loss 1.7016 (1.6353) Prec@1 52.500 (56.079) Prec@5 82.500 (84.611) Epoch: [76][2060/11272] Time 0.834 (0.786) Data 0.002 (0.003) Loss 1.7759 (1.6352) Prec@1 50.625 (56.085) Prec@5 85.625 (84.611) Epoch: [76][2070/11272] Time 0.739 (0.786) Data 0.002 (0.003) Loss 1.5134 (1.6353) Prec@1 55.625 (56.085) Prec@5 86.250 (84.610) Epoch: [76][2080/11272] Time 0.829 (0.786) Data 0.003 (0.003) Loss 1.6625 (1.6355) Prec@1 53.125 (56.085) Prec@5 86.875 (84.609) Epoch: [76][2090/11272] Time 0.896 (0.786) Data 0.002 (0.003) Loss 1.7401 (1.6356) Prec@1 50.625 (56.082) Prec@5 84.375 (84.608) Epoch: [76][2100/11272] Time 0.706 (0.786) Data 0.001 (0.003) Loss 1.7289 (1.6357) Prec@1 52.500 (56.078) Prec@5 81.250 (84.604) Epoch: [76][2110/11272] Time 0.778 (0.786) Data 0.002 (0.003) Loss 1.9049 (1.6356) Prec@1 51.875 (56.071) Prec@5 80.625 (84.606) Epoch: [76][2120/11272] Time 0.863 (0.786) Data 0.002 (0.003) Loss 1.6229 (1.6356) Prec@1 58.750 (56.077) Prec@5 84.375 (84.603) Epoch: [76][2130/11272] Time 0.831 (0.786) Data 0.002 (0.003) Loss 1.6163 (1.6355) Prec@1 57.500 (56.078) Prec@5 85.625 (84.606) Epoch: [76][2140/11272] Time 0.782 (0.786) Data 0.002 (0.003) Loss 1.7564 (1.6356) Prec@1 57.500 (56.078) Prec@5 81.875 (84.602) Epoch: [76][2150/11272] Time 0.702 (0.786) Data 0.001 (0.003) Loss 1.4605 (1.6357) Prec@1 59.375 (56.079) Prec@5 86.250 (84.599) Epoch: [76][2160/11272] Time 0.835 (0.786) Data 0.001 (0.003) Loss 1.5039 (1.6357) Prec@1 61.875 (56.082) Prec@5 85.625 (84.603) Epoch: [76][2170/11272] Time 0.812 (0.786) Data 0.002 (0.003) Loss 1.6009 (1.6355) Prec@1 57.500 (56.093) Prec@5 85.000 (84.605) Epoch: [76][2180/11272] Time 0.730 (0.786) Data 0.002 (0.003) Loss 1.7219 (1.6356) Prec@1 55.625 (56.095) Prec@5 83.750 (84.601) Epoch: [76][2190/11272] Time 0.744 (0.786) Data 0.002 (0.003) Loss 1.7603 (1.6355) Prec@1 50.000 (56.095) Prec@5 84.375 (84.601) Epoch: [76][2200/11272] Time 0.856 (0.786) Data 0.001 (0.003) Loss 1.4708 (1.6355) Prec@1 60.625 (56.098) Prec@5 81.250 (84.602) Epoch: [76][2210/11272] Time 0.827 (0.786) Data 0.002 (0.003) Loss 1.5949 (1.6354) Prec@1 58.125 (56.106) Prec@5 83.750 (84.600) Epoch: [76][2220/11272] Time 0.753 (0.786) Data 0.002 (0.003) Loss 1.6637 (1.6358) Prec@1 57.500 (56.099) Prec@5 80.625 (84.590) Epoch: [76][2230/11272] Time 0.838 (0.786) Data 0.002 (0.003) Loss 1.7720 (1.6356) Prec@1 50.000 (56.104) Prec@5 79.375 (84.590) Epoch: [76][2240/11272] Time 0.832 (0.786) Data 0.002 (0.003) Loss 1.8051 (1.6360) Prec@1 50.625 (56.095) Prec@5 81.250 (84.584) Epoch: [76][2250/11272] Time 0.717 (0.786) Data 0.002 (0.003) Loss 1.5424 (1.6357) Prec@1 58.750 (56.104) Prec@5 85.625 (84.582) Epoch: [76][2260/11272] Time 0.736 (0.786) Data 0.002 (0.003) Loss 1.5772 (1.6358) Prec@1 57.500 (56.099) Prec@5 87.500 (84.584) Epoch: [76][2270/11272] Time 0.859 (0.786) Data 0.002 (0.003) Loss 1.7780 (1.6359) Prec@1 53.125 (56.094) Prec@5 79.375 (84.581) Epoch: [76][2280/11272] Time 0.867 (0.786) Data 0.001 (0.003) Loss 1.6817 (1.6358) Prec@1 56.875 (56.103) Prec@5 85.000 (84.584) Epoch: [76][2290/11272] Time 0.761 (0.786) Data 0.002 (0.003) Loss 1.6736 (1.6357) Prec@1 51.875 (56.106) Prec@5 86.875 (84.586) Epoch: [76][2300/11272] Time 0.712 (0.786) Data 0.001 (0.003) Loss 1.6824 (1.6358) Prec@1 53.750 (56.103) Prec@5 83.125 (84.582) Epoch: [76][2310/11272] Time 0.835 (0.786) Data 0.002 (0.003) Loss 1.5469 (1.6358) Prec@1 56.250 (56.106) Prec@5 86.250 (84.585) Epoch: [76][2320/11272] Time 0.849 (0.786) Data 0.002 (0.003) Loss 1.6931 (1.6358) Prec@1 53.750 (56.108) Prec@5 83.750 (84.584) Epoch: [76][2330/11272] Time 0.726 (0.786) Data 0.002 (0.003) Loss 2.0653 (1.6357) Prec@1 47.500 (56.106) Prec@5 76.250 (84.588) Epoch: [76][2340/11272] Time 0.732 (0.786) Data 0.002 (0.003) Loss 1.5946 (1.6358) Prec@1 61.250 (56.107) Prec@5 85.625 (84.587) Epoch: [76][2350/11272] Time 0.839 (0.786) Data 0.002 (0.003) Loss 1.4464 (1.6356) Prec@1 59.375 (56.108) Prec@5 86.875 (84.595) Epoch: [76][2360/11272] Time 0.732 (0.786) Data 0.002 (0.003) Loss 1.3971 (1.6355) Prec@1 61.250 (56.112) Prec@5 88.750 (84.596) Epoch: [76][2370/11272] Time 0.714 (0.786) Data 0.001 (0.003) Loss 1.5003 (1.6356) Prec@1 55.625 (56.107) Prec@5 87.500 (84.592) Epoch: [76][2380/11272] Time 0.845 (0.786) Data 0.002 (0.003) Loss 1.6271 (1.6355) Prec@1 56.875 (56.111) Prec@5 85.625 (84.593) Epoch: [76][2390/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.5139 (1.6355) Prec@1 56.250 (56.114) Prec@5 84.375 (84.590) Epoch: [76][2400/11272] Time 0.718 (0.786) Data 0.002 (0.003) Loss 1.6426 (1.6359) Prec@1 53.750 (56.103) Prec@5 82.500 (84.582) Epoch: [76][2410/11272] Time 0.748 (0.786) Data 0.002 (0.003) Loss 1.5980 (1.6360) Prec@1 52.500 (56.095) Prec@5 86.875 (84.581) Epoch: [76][2420/11272] Time 0.823 (0.786) Data 0.002 (0.003) Loss 1.6267 (1.6361) Prec@1 60.000 (56.092) Prec@5 83.125 (84.577) Epoch: [76][2430/11272] Time 0.866 (0.786) Data 0.002 (0.003) Loss 1.7852 (1.6365) Prec@1 56.250 (56.085) Prec@5 83.125 (84.568) Epoch: [76][2440/11272] Time 0.745 (0.786) Data 0.002 (0.003) Loss 1.5999 (1.6362) Prec@1 55.000 (56.090) Prec@5 89.375 (84.576) Epoch: [76][2450/11272] Time 0.736 (0.786) Data 0.002 (0.003) Loss 1.8433 (1.6361) Prec@1 53.750 (56.095) Prec@5 85.000 (84.578) Epoch: [76][2460/11272] Time 0.824 (0.786) Data 0.002 (0.003) Loss 1.8114 (1.6361) Prec@1 53.750 (56.096) Prec@5 80.000 (84.577) Epoch: [76][2470/11272] Time 0.820 (0.786) Data 0.002 (0.003) Loss 1.6865 (1.6360) Prec@1 53.125 (56.098) Prec@5 83.125 (84.579) Epoch: [76][2480/11272] Time 0.764 (0.786) Data 0.002 (0.003) Loss 1.4146 (1.6358) Prec@1 61.250 (56.103) Prec@5 89.375 (84.584) Epoch: [76][2490/11272] Time 0.881 (0.786) Data 0.001 (0.003) Loss 1.5300 (1.6358) Prec@1 58.125 (56.106) Prec@5 84.375 (84.584) Epoch: [76][2500/11272] Time 0.840 (0.786) Data 0.002 (0.003) Loss 1.7497 (1.6362) Prec@1 53.750 (56.097) Prec@5 81.875 (84.578) Epoch: [76][2510/11272] Time 0.716 (0.786) Data 0.002 (0.003) Loss 1.6122 (1.6362) Prec@1 57.500 (56.097) Prec@5 83.125 (84.578) Epoch: [76][2520/11272] Time 0.743 (0.786) Data 0.002 (0.003) Loss 1.8171 (1.6366) Prec@1 53.125 (56.088) Prec@5 83.125 (84.574) Epoch: [76][2530/11272] Time 0.871 (0.786) Data 0.002 (0.003) Loss 1.5838 (1.6364) Prec@1 58.750 (56.095) Prec@5 87.500 (84.576) Epoch: [76][2540/11272] Time 0.871 (0.786) Data 0.002 (0.003) Loss 1.6808 (1.6367) Prec@1 55.625 (56.086) Prec@5 85.000 (84.569) Epoch: [76][2550/11272] Time 0.755 (0.786) Data 0.002 (0.003) Loss 1.6773 (1.6366) Prec@1 55.625 (56.089) Prec@5 84.375 (84.568) Epoch: [76][2560/11272] Time 0.710 (0.786) Data 0.001 (0.003) Loss 1.3777 (1.6366) Prec@1 59.375 (56.085) Prec@5 88.750 (84.568) Epoch: [76][2570/11272] Time 0.834 (0.786) Data 0.002 (0.003) Loss 1.6536 (1.6365) Prec@1 53.125 (56.084) Prec@5 85.000 (84.571) Epoch: [76][2580/11272] Time 0.844 (0.786) Data 0.001 (0.003) Loss 1.6971 (1.6365) Prec@1 53.750 (56.083) Prec@5 83.125 (84.574) Epoch: [76][2590/11272] Time 0.732 (0.786) Data 0.001 (0.003) Loss 1.7879 (1.6366) Prec@1 53.125 (56.084) Prec@5 82.500 (84.570) Epoch: [76][2600/11272] Time 0.726 (0.786) Data 0.002 (0.003) Loss 1.5883 (1.6365) Prec@1 61.250 (56.087) Prec@5 86.250 (84.572) Epoch: [76][2610/11272] Time 0.861 (0.786) Data 0.002 (0.003) Loss 1.5642 (1.6365) Prec@1 57.500 (56.085) Prec@5 86.875 (84.572) Epoch: [76][2620/11272] Time 0.733 (0.786) Data 0.003 (0.003) Loss 1.6091 (1.6366) Prec@1 55.625 (56.080) Prec@5 83.125 (84.572) Epoch: [76][2630/11272] Time 0.732 (0.786) Data 0.001 (0.003) Loss 1.5195 (1.6366) Prec@1 60.625 (56.083) Prec@5 88.750 (84.574) Epoch: [76][2640/11272] Time 0.822 (0.786) Data 0.002 (0.003) Loss 1.7243 (1.6363) Prec@1 53.125 (56.084) Prec@5 85.000 (84.577) Epoch: [76][2650/11272] Time 0.837 (0.786) Data 0.002 (0.003) Loss 1.6006 (1.6364) Prec@1 57.500 (56.084) Prec@5 84.375 (84.579) Epoch: [76][2660/11272] Time 0.722 (0.786) Data 0.001 (0.003) Loss 1.3835 (1.6362) Prec@1 65.000 (56.092) Prec@5 87.500 (84.581) Epoch: [76][2670/11272] Time 0.750 (0.786) Data 0.002 (0.003) Loss 1.3901 (1.6358) Prec@1 63.125 (56.104) Prec@5 87.500 (84.587) Epoch: [76][2680/11272] Time 0.780 (0.786) Data 0.001 (0.003) Loss 1.6890 (1.6359) Prec@1 53.750 (56.097) Prec@5 83.750 (84.587) Epoch: [76][2690/11272] Time 0.831 (0.786) Data 0.002 (0.003) Loss 1.8207 (1.6360) Prec@1 53.125 (56.097) Prec@5 83.750 (84.586) Epoch: [76][2700/11272] Time 0.730 (0.785) Data 0.001 (0.003) Loss 1.7741 (1.6361) Prec@1 55.000 (56.093) Prec@5 81.250 (84.582) Epoch: [76][2710/11272] Time 0.743 (0.785) Data 0.001 (0.003) Loss 1.5193 (1.6362) Prec@1 57.500 (56.095) Prec@5 85.000 (84.582) Epoch: [76][2720/11272] Time 0.829 (0.785) Data 0.002 (0.003) Loss 1.5641 (1.6362) Prec@1 60.625 (56.094) Prec@5 85.625 (84.581) Epoch: [76][2730/11272] Time 0.856 (0.785) Data 0.001 (0.003) Loss 1.6472 (1.6362) Prec@1 55.000 (56.092) Prec@5 81.875 (84.582) Epoch: [76][2740/11272] Time 0.741 (0.785) Data 0.001 (0.003) Loss 1.8234 (1.6363) Prec@1 48.750 (56.089) Prec@5 81.250 (84.579) Epoch: [76][2750/11272] Time 0.828 (0.785) Data 0.001 (0.003) Loss 1.4792 (1.6366) Prec@1 56.875 (56.076) Prec@5 86.875 (84.576) Epoch: [76][2760/11272] Time 0.808 (0.785) Data 0.001 (0.003) Loss 1.4672 (1.6369) Prec@1 56.875 (56.068) Prec@5 88.125 (84.572) Epoch: [76][2770/11272] Time 0.745 (0.785) Data 0.001 (0.003) Loss 1.6313 (1.6368) Prec@1 57.500 (56.078) Prec@5 83.750 (84.572) Epoch: [76][2780/11272] Time 0.734 (0.786) Data 0.001 (0.003) Loss 1.5237 (1.6367) Prec@1 53.125 (56.077) Prec@5 89.375 (84.572) Epoch: [76][2790/11272] Time 0.864 (0.786) Data 0.002 (0.003) Loss 1.6559 (1.6367) Prec@1 56.250 (56.077) Prec@5 85.000 (84.570) Epoch: [76][2800/11272] Time 0.817 (0.785) Data 0.002 (0.003) Loss 1.6500 (1.6367) Prec@1 58.750 (56.081) Prec@5 83.750 (84.569) Epoch: [76][2810/11272] Time 0.708 (0.785) Data 0.002 (0.003) Loss 1.8057 (1.6368) Prec@1 54.375 (56.078) Prec@5 85.625 (84.568) Epoch: [76][2820/11272] Time 0.724 (0.785) Data 0.002 (0.003) Loss 1.4308 (1.6365) Prec@1 65.000 (56.089) Prec@5 88.125 (84.577) Epoch: [76][2830/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.4950 (1.6363) Prec@1 60.000 (56.093) Prec@5 85.000 (84.579) Epoch: [76][2840/11272] Time 0.839 (0.786) Data 0.002 (0.003) Loss 1.5656 (1.6363) Prec@1 56.875 (56.096) Prec@5 84.375 (84.577) Epoch: [76][2850/11272] Time 0.732 (0.786) Data 0.002 (0.003) Loss 1.7366 (1.6363) Prec@1 58.750 (56.101) Prec@5 81.250 (84.577) Epoch: [76][2860/11272] Time 0.749 (0.786) Data 0.002 (0.003) Loss 1.6990 (1.6364) Prec@1 56.875 (56.105) Prec@5 84.375 (84.572) Epoch: [76][2870/11272] Time 0.868 (0.786) Data 0.001 (0.003) Loss 1.5337 (1.6363) Prec@1 55.625 (56.108) Prec@5 86.250 (84.573) Epoch: [76][2880/11272] Time 0.716 (0.786) Data 0.003 (0.003) Loss 1.4255 (1.6363) Prec@1 62.500 (56.110) Prec@5 86.250 (84.568) Epoch: [76][2890/11272] Time 0.758 (0.786) Data 0.001 (0.003) Loss 1.5670 (1.6362) Prec@1 60.000 (56.114) Prec@5 85.625 (84.567) Epoch: [76][2900/11272] Time 0.825 (0.786) Data 0.002 (0.003) Loss 1.6919 (1.6363) Prec@1 52.500 (56.111) Prec@5 85.000 (84.564) Epoch: [76][2910/11272] Time 0.859 (0.786) Data 0.002 (0.003) Loss 2.0417 (1.6367) Prec@1 49.375 (56.102) Prec@5 80.625 (84.555) Epoch: [76][2920/11272] Time 0.704 (0.786) Data 0.001 (0.003) Loss 1.5252 (1.6369) Prec@1 59.375 (56.092) Prec@5 86.250 (84.550) Epoch: [76][2930/11272] Time 0.733 (0.786) Data 0.001 (0.003) Loss 1.5879 (1.6368) Prec@1 58.750 (56.095) Prec@5 83.750 (84.550) Epoch: [76][2940/11272] Time 0.831 (0.786) Data 0.002 (0.003) Loss 1.7401 (1.6371) Prec@1 55.625 (56.087) Prec@5 86.875 (84.549) Epoch: [76][2950/11272] Time 0.840 (0.786) Data 0.001 (0.003) Loss 1.8247 (1.6371) Prec@1 49.375 (56.085) Prec@5 83.125 (84.548) Epoch: [76][2960/11272] Time 0.722 (0.786) Data 0.002 (0.003) Loss 1.5158 (1.6372) Prec@1 58.125 (56.079) Prec@5 88.750 (84.549) Epoch: [76][2970/11272] Time 0.725 (0.786) Data 0.001 (0.003) Loss 1.6287 (1.6374) Prec@1 57.500 (56.074) Prec@5 85.000 (84.545) Epoch: [76][2980/11272] Time 0.863 (0.786) Data 0.002 (0.003) Loss 1.9122 (1.6373) Prec@1 50.625 (56.071) Prec@5 81.250 (84.546) Epoch: [76][2990/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.7526 (1.6373) Prec@1 56.250 (56.071) Prec@5 85.625 (84.544) Epoch: [76][3000/11272] Time 0.714 (0.785) Data 0.001 (0.003) Loss 1.7351 (1.6373) Prec@1 54.375 (56.076) Prec@5 81.875 (84.544) Epoch: [76][3010/11272] Time 0.826 (0.786) Data 0.002 (0.003) Loss 1.7892 (1.6374) Prec@1 56.875 (56.079) Prec@5 80.625 (84.542) Epoch: [76][3020/11272] Time 0.840 (0.786) Data 0.002 (0.003) Loss 1.6868 (1.6373) Prec@1 55.000 (56.081) Prec@5 84.375 (84.543) Epoch: [76][3030/11272] Time 0.727 (0.785) Data 0.001 (0.003) Loss 1.5681 (1.6375) Prec@1 59.375 (56.077) Prec@5 85.625 (84.541) Epoch: [76][3040/11272] Time 0.768 (0.786) Data 0.002 (0.003) Loss 1.5149 (1.6374) Prec@1 60.000 (56.077) Prec@5 86.250 (84.544) Epoch: [76][3050/11272] Time 0.827 (0.786) Data 0.001 (0.003) Loss 1.8402 (1.6376) Prec@1 48.750 (56.068) Prec@5 79.375 (84.540) Epoch: [76][3060/11272] Time 0.825 (0.786) Data 0.002 (0.003) Loss 1.7952 (1.6375) Prec@1 50.000 (56.070) Prec@5 85.000 (84.541) Epoch: [76][3070/11272] Time 0.743 (0.786) Data 0.002 (0.003) Loss 1.6130 (1.6374) Prec@1 52.500 (56.072) Prec@5 87.500 (84.547) Epoch: [76][3080/11272] Time 0.729 (0.786) Data 0.002 (0.003) Loss 1.5345 (1.6375) Prec@1 58.750 (56.067) Prec@5 88.125 (84.548) Epoch: [76][3090/11272] Time 0.835 (0.786) Data 0.002 (0.003) Loss 1.6978 (1.6375) Prec@1 53.750 (56.062) Prec@5 83.750 (84.549) Epoch: [76][3100/11272] Time 0.880 (0.786) Data 0.002 (0.003) Loss 1.6142 (1.6378) Prec@1 60.000 (56.063) Prec@5 82.500 (84.543) Epoch: [76][3110/11272] Time 0.720 (0.786) Data 0.002 (0.003) Loss 1.6710 (1.6377) Prec@1 57.500 (56.065) Prec@5 82.500 (84.543) Epoch: [76][3120/11272] Time 0.732 (0.786) Data 0.002 (0.003) Loss 1.5652 (1.6378) Prec@1 58.750 (56.064) Prec@5 85.000 (84.544) Epoch: [76][3130/11272] Time 0.854 (0.786) Data 0.002 (0.003) Loss 1.4852 (1.6378) Prec@1 55.625 (56.062) Prec@5 85.625 (84.542) Epoch: [76][3140/11272] Time 0.811 (0.786) Data 0.001 (0.003) Loss 1.3796 (1.6378) Prec@1 60.625 (56.060) Prec@5 88.750 (84.540) Epoch: [76][3150/11272] Time 0.713 (0.786) Data 0.001 (0.003) Loss 1.6101 (1.6378) Prec@1 54.375 (56.060) Prec@5 85.625 (84.539) Epoch: [76][3160/11272] Time 0.868 (0.786) Data 0.002 (0.003) Loss 1.5855 (1.6379) Prec@1 64.375 (56.059) Prec@5 83.750 (84.535) Epoch: [76][3170/11272] Time 0.842 (0.786) Data 0.001 (0.003) Loss 1.6576 (1.6379) Prec@1 57.500 (56.060) Prec@5 81.875 (84.533) Epoch: [76][3180/11272] Time 0.737 (0.786) Data 0.001 (0.003) Loss 1.6122 (1.6380) Prec@1 52.500 (56.056) Prec@5 86.875 (84.534) Epoch: [76][3190/11272] Time 0.739 (0.786) Data 0.001 (0.003) Loss 1.7073 (1.6379) Prec@1 53.750 (56.058) Prec@5 85.000 (84.537) Epoch: [76][3200/11272] Time 0.863 (0.786) Data 0.002 (0.003) Loss 1.5477 (1.6377) Prec@1 58.750 (56.060) Prec@5 83.125 (84.540) Epoch: [76][3210/11272] Time 0.828 (0.786) Data 0.002 (0.003) Loss 1.5637 (1.6378) Prec@1 58.125 (56.062) Prec@5 84.375 (84.541) Epoch: [76][3220/11272] Time 0.791 (0.786) Data 0.002 (0.003) Loss 1.6602 (1.6378) Prec@1 58.750 (56.059) Prec@5 81.875 (84.541) Epoch: [76][3230/11272] Time 0.734 (0.786) Data 0.002 (0.003) Loss 1.7904 (1.6377) Prec@1 51.250 (56.063) Prec@5 80.625 (84.542) Epoch: [76][3240/11272] Time 0.806 (0.786) Data 0.001 (0.003) Loss 1.8252 (1.6380) Prec@1 56.875 (56.062) Prec@5 81.250 (84.540) Epoch: [76][3250/11272] Time 0.849 (0.786) Data 0.002 (0.003) Loss 1.6578 (1.6380) Prec@1 57.500 (56.059) Prec@5 85.000 (84.541) Epoch: [76][3260/11272] Time 0.726 (0.785) Data 0.002 (0.003) Loss 1.6749 (1.6382) Prec@1 55.625 (56.050) Prec@5 84.375 (84.537) Epoch: [76][3270/11272] Time 0.738 (0.785) Data 0.002 (0.003) Loss 1.6255 (1.6382) Prec@1 52.500 (56.051) Prec@5 86.250 (84.537) Epoch: [76][3280/11272] Time 0.858 (0.785) Data 0.001 (0.003) Loss 1.7660 (1.6383) Prec@1 56.250 (56.049) Prec@5 82.500 (84.535) Epoch: [76][3290/11272] Time 0.738 (0.785) Data 0.001 (0.003) Loss 1.7535 (1.6381) Prec@1 52.500 (56.053) Prec@5 83.750 (84.539) Epoch: [76][3300/11272] Time 0.722 (0.785) Data 0.001 (0.003) Loss 1.6586 (1.6382) Prec@1 55.625 (56.048) Prec@5 87.500 (84.538) Epoch: [76][3310/11272] Time 0.826 (0.785) Data 0.002 (0.003) Loss 1.7369 (1.6380) Prec@1 54.375 (56.047) Prec@5 81.875 (84.539) Epoch: [76][3320/11272] Time 0.840 (0.785) Data 0.002 (0.003) Loss 1.6702 (1.6379) Prec@1 58.125 (56.051) Prec@5 81.250 (84.538) Epoch: [76][3330/11272] Time 0.733 (0.785) Data 0.002 (0.003) Loss 1.5558 (1.6379) Prec@1 58.125 (56.049) Prec@5 85.000 (84.539) Epoch: [76][3340/11272] Time 0.760 (0.785) Data 0.002 (0.003) Loss 1.5398 (1.6378) Prec@1 57.500 (56.051) Prec@5 84.375 (84.542) Epoch: [76][3350/11272] Time 0.826 (0.785) Data 0.002 (0.003) Loss 1.6688 (1.6378) Prec@1 55.000 (56.051) Prec@5 83.125 (84.542) Epoch: [76][3360/11272] Time 0.816 (0.785) Data 0.002 (0.003) Loss 1.6964 (1.6377) Prec@1 56.250 (56.052) Prec@5 87.500 (84.543) Epoch: [76][3370/11272] Time 0.734 (0.785) Data 0.001 (0.003) Loss 1.9018 (1.6380) Prec@1 48.125 (56.043) Prec@5 75.625 (84.540) Epoch: [76][3380/11272] Time 0.732 (0.785) Data 0.002 (0.003) Loss 1.8919 (1.6381) Prec@1 50.625 (56.041) Prec@5 83.125 (84.540) Epoch: [76][3390/11272] Time 0.860 (0.785) Data 0.002 (0.003) Loss 1.9238 (1.6382) Prec@1 50.625 (56.041) Prec@5 75.625 (84.536) Epoch: [76][3400/11272] Time 0.828 (0.785) Data 0.001 (0.003) Loss 1.7802 (1.6380) Prec@1 52.500 (56.043) Prec@5 83.125 (84.535) Epoch: [76][3410/11272] Time 0.759 (0.785) Data 0.002 (0.003) Loss 1.6936 (1.6380) Prec@1 51.875 (56.041) Prec@5 84.375 (84.534) Epoch: [76][3420/11272] Time 0.851 (0.785) Data 0.002 (0.003) Loss 1.4109 (1.6379) Prec@1 61.250 (56.038) Prec@5 90.625 (84.537) Epoch: [76][3430/11272] Time 0.809 (0.785) Data 0.001 (0.003) Loss 1.7958 (1.6380) Prec@1 55.000 (56.040) Prec@5 84.375 (84.540) Epoch: [76][3440/11272] Time 0.722 (0.785) Data 0.001 (0.003) Loss 1.7132 (1.6381) Prec@1 52.500 (56.037) Prec@5 84.375 (84.536) Epoch: [76][3450/11272] Time 0.757 (0.785) Data 0.001 (0.003) Loss 1.7960 (1.6384) Prec@1 53.125 (56.031) Prec@5 78.750 (84.533) Epoch: [76][3460/11272] Time 0.904 (0.785) Data 0.002 (0.003) Loss 1.9132 (1.6385) Prec@1 50.625 (56.029) Prec@5 80.625 (84.528) Epoch: [76][3470/11272] Time 0.845 (0.785) Data 0.002 (0.003) Loss 1.6544 (1.6385) Prec@1 55.625 (56.030) Prec@5 85.000 (84.529) Epoch: [76][3480/11272] Time 0.739 (0.785) Data 0.002 (0.003) Loss 1.5101 (1.6386) Prec@1 50.625 (56.024) Prec@5 88.750 (84.527) Epoch: [76][3490/11272] Time 0.753 (0.785) Data 0.002 (0.003) Loss 1.6649 (1.6386) Prec@1 53.750 (56.025) Prec@5 79.375 (84.526) Epoch: [76][3500/11272] Time 0.821 (0.785) Data 0.002 (0.003) Loss 1.6509 (1.6386) Prec@1 54.375 (56.024) Prec@5 86.250 (84.527) Epoch: [76][3510/11272] Time 0.855 (0.785) Data 0.001 (0.003) Loss 1.8237 (1.6385) Prec@1 55.625 (56.024) Prec@5 81.250 (84.530) Epoch: [76][3520/11272] Time 0.728 (0.785) Data 0.002 (0.003) Loss 1.7929 (1.6384) Prec@1 51.875 (56.026) Prec@5 81.250 (84.530) Epoch: [76][3530/11272] Time 0.737 (0.785) Data 0.001 (0.003) Loss 1.7567 (1.6385) Prec@1 53.125 (56.026) Prec@5 80.625 (84.530) Epoch: [76][3540/11272] Time 0.828 (0.785) Data 0.001 (0.003) Loss 1.6269 (1.6387) Prec@1 59.375 (56.022) Prec@5 83.750 (84.528) Epoch: [76][3550/11272] Time 0.712 (0.785) Data 0.003 (0.003) Loss 1.6153 (1.6388) Prec@1 54.375 (56.012) Prec@5 88.125 (84.527) Epoch: [76][3560/11272] Time 0.709 (0.785) Data 0.001 (0.003) Loss 1.6345 (1.6389) Prec@1 58.750 (56.009) Prec@5 83.125 (84.528) Epoch: [76][3570/11272] Time 0.821 (0.785) Data 0.001 (0.003) Loss 1.8567 (1.6391) Prec@1 52.500 (56.006) Prec@5 80.625 (84.526) Epoch: [76][3580/11272] Time 0.806 (0.785) Data 0.002 (0.003) Loss 1.7910 (1.6390) Prec@1 54.375 (56.009) Prec@5 80.625 (84.527) Epoch: [76][3590/11272] Time 0.743 (0.785) Data 0.001 (0.003) Loss 1.6291 (1.6389) Prec@1 54.375 (56.009) Prec@5 83.750 (84.530) Epoch: [76][3600/11272] Time 0.749 (0.785) Data 0.002 (0.003) Loss 1.7094 (1.6390) Prec@1 55.000 (56.006) Prec@5 85.000 (84.528) Epoch: [76][3610/11272] Time 0.825 (0.785) Data 0.002 (0.003) Loss 1.6440 (1.6391) Prec@1 57.500 (55.999) Prec@5 83.750 (84.526) Epoch: [76][3620/11272] Time 0.837 (0.785) Data 0.002 (0.003) Loss 1.6710 (1.6391) Prec@1 53.750 (56.002) Prec@5 85.625 (84.527) Epoch: [76][3630/11272] Time 0.701 (0.785) Data 0.001 (0.003) Loss 1.7935 (1.6392) Prec@1 49.375 (55.997) Prec@5 80.000 (84.526) Epoch: [76][3640/11272] Time 0.702 (0.785) Data 0.001 (0.003) Loss 1.3195 (1.6390) Prec@1 64.375 (56.002) Prec@5 87.500 (84.529) Epoch: [76][3650/11272] Time 0.825 (0.785) Data 0.002 (0.003) Loss 1.6526 (1.6392) Prec@1 51.250 (55.996) Prec@5 86.250 (84.524) Epoch: [76][3660/11272] Time 0.851 (0.785) Data 0.002 (0.003) Loss 1.7233 (1.6394) Prec@1 57.500 (55.991) Prec@5 85.625 (84.522) Epoch: [76][3670/11272] Time 0.736 (0.785) Data 0.002 (0.003) Loss 1.3145 (1.6392) Prec@1 64.375 (55.993) Prec@5 88.750 (84.523) Epoch: [76][3680/11272] Time 0.832 (0.785) Data 0.002 (0.003) Loss 1.6600 (1.6393) Prec@1 58.125 (55.995) Prec@5 84.375 (84.522) Epoch: [76][3690/11272] Time 0.837 (0.785) Data 0.002 (0.003) Loss 1.6879 (1.6393) Prec@1 55.625 (55.994) Prec@5 85.000 (84.521) Epoch: [76][3700/11272] Time 0.745 (0.785) Data 0.001 (0.003) Loss 1.6539 (1.6393) Prec@1 56.875 (55.992) Prec@5 82.500 (84.519) Epoch: [76][3710/11272] Time 0.735 (0.785) Data 0.001 (0.003) Loss 1.6077 (1.6395) Prec@1 60.625 (55.990) Prec@5 83.125 (84.516) Epoch: [76][3720/11272] Time 0.836 (0.785) Data 0.002 (0.003) Loss 2.0443 (1.6397) Prec@1 46.875 (55.985) Prec@5 76.875 (84.510) Epoch: [76][3730/11272] Time 0.830 (0.785) Data 0.002 (0.003) Loss 1.8052 (1.6396) Prec@1 50.000 (55.990) Prec@5 81.875 (84.510) Epoch: [76][3740/11272] Time 0.733 (0.785) Data 0.001 (0.003) Loss 1.6030 (1.6396) Prec@1 55.000 (55.987) Prec@5 86.250 (84.508) Epoch: [76][3750/11272] Time 0.763 (0.785) Data 0.002 (0.003) Loss 1.7480 (1.6396) Prec@1 50.000 (55.985) Prec@5 88.750 (84.510) Epoch: [76][3760/11272] Time 0.865 (0.785) Data 0.002 (0.003) Loss 1.3858 (1.6395) Prec@1 63.750 (55.986) Prec@5 89.375 (84.513) Epoch: [76][3770/11272] Time 0.861 (0.785) Data 0.002 (0.003) Loss 1.9142 (1.6394) Prec@1 51.250 (55.992) Prec@5 82.500 (84.515) Epoch: [76][3780/11272] Time 0.704 (0.785) Data 0.001 (0.003) Loss 1.7402 (1.6393) Prec@1 51.875 (55.989) Prec@5 86.250 (84.519) Epoch: [76][3790/11272] Time 0.754 (0.785) Data 0.002 (0.003) Loss 1.7152 (1.6395) Prec@1 57.500 (55.987) Prec@5 81.875 (84.515) Epoch: [76][3800/11272] Time 0.840 (0.785) Data 0.002 (0.003) Loss 1.6620 (1.6393) Prec@1 58.125 (55.993) Prec@5 81.875 (84.518) Epoch: [76][3810/11272] Time 0.732 (0.785) Data 0.003 (0.003) Loss 1.5005 (1.6393) Prec@1 56.875 (55.992) Prec@5 89.375 (84.519) Epoch: [76][3820/11272] Time 0.723 (0.785) Data 0.002 (0.003) Loss 1.5548 (1.6395) Prec@1 55.625 (55.988) Prec@5 88.125 (84.517) Epoch: [76][3830/11272] Time 0.829 (0.785) Data 0.002 (0.003) Loss 1.4697 (1.6396) Prec@1 56.250 (55.980) Prec@5 87.500 (84.517) Epoch: [76][3840/11272] Time 0.845 (0.785) Data 0.002 (0.003) Loss 1.6724 (1.6397) Prec@1 55.625 (55.978) Prec@5 85.000 (84.516) Epoch: [76][3850/11272] Time 0.730 (0.785) Data 0.001 (0.003) Loss 1.5470 (1.6397) Prec@1 57.500 (55.975) Prec@5 86.875 (84.518) Epoch: [76][3860/11272] Time 0.743 (0.785) Data 0.002 (0.003) Loss 1.3515 (1.6396) Prec@1 60.625 (55.975) Prec@5 86.250 (84.519) Epoch: [76][3870/11272] Time 0.812 (0.785) Data 0.002 (0.003) Loss 1.4977 (1.6394) Prec@1 63.750 (55.981) Prec@5 85.000 (84.521) Epoch: [76][3880/11272] Time 0.845 (0.785) Data 0.002 (0.003) Loss 1.6965 (1.6395) Prec@1 56.250 (55.978) Prec@5 86.875 (84.519) Epoch: [76][3890/11272] Time 0.763 (0.785) Data 0.002 (0.003) Loss 1.3871 (1.6395) Prec@1 60.625 (55.975) Prec@5 88.125 (84.520) Epoch: [76][3900/11272] Time 0.768 (0.785) Data 0.002 (0.003) Loss 1.4802 (1.6394) Prec@1 55.000 (55.972) Prec@5 85.000 (84.519) Epoch: [76][3910/11272] Time 0.889 (0.785) Data 0.002 (0.003) Loss 1.6964 (1.6394) Prec@1 57.500 (55.975) Prec@5 85.000 (84.520) Epoch: [76][3920/11272] Time 0.830 (0.785) Data 0.002 (0.003) Loss 1.4808 (1.6393) Prec@1 57.500 (55.976) Prec@5 86.250 (84.521) Epoch: [76][3930/11272] Time 0.731 (0.785) Data 0.002 (0.003) Loss 1.6512 (1.6394) Prec@1 55.625 (55.972) Prec@5 85.625 (84.520) Epoch: [76][3940/11272] Time 0.839 (0.785) Data 0.001 (0.003) Loss 1.6579 (1.6394) Prec@1 55.625 (55.970) Prec@5 82.500 (84.520) Epoch: [76][3950/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.7256 (1.6394) Prec@1 57.500 (55.968) Prec@5 86.875 (84.524) Epoch: [76][3960/11272] Time 0.735 (0.786) Data 0.001 (0.003) Loss 1.6495 (1.6395) Prec@1 53.125 (55.965) Prec@5 82.500 (84.520) Epoch: [76][3970/11272] Time 0.763 (0.786) Data 0.002 (0.003) Loss 1.7008 (1.6397) Prec@1 53.750 (55.958) Prec@5 80.625 (84.514) Epoch: [76][3980/11272] Time 0.874 (0.786) Data 0.002 (0.003) Loss 1.6372 (1.6399) Prec@1 56.875 (55.957) Prec@5 86.250 (84.512) Epoch: [76][3990/11272] Time 0.816 (0.786) Data 0.002 (0.003) Loss 1.4679 (1.6399) Prec@1 56.875 (55.953) Prec@5 88.750 (84.515) Epoch: [76][4000/11272] Time 0.744 (0.786) Data 0.002 (0.003) Loss 1.6967 (1.6399) Prec@1 51.250 (55.950) Prec@5 83.125 (84.518) Epoch: [76][4010/11272] Time 0.754 (0.786) Data 0.002 (0.003) Loss 1.8243 (1.6401) Prec@1 52.500 (55.947) Prec@5 80.000 (84.515) Epoch: [76][4020/11272] Time 0.827 (0.786) Data 0.002 (0.003) Loss 1.6053 (1.6401) Prec@1 56.250 (55.950) Prec@5 85.625 (84.513) Epoch: [76][4030/11272] Time 0.868 (0.786) Data 0.002 (0.003) Loss 1.6788 (1.6401) Prec@1 54.375 (55.946) Prec@5 83.750 (84.514) Epoch: [76][4040/11272] Time 0.718 (0.786) Data 0.002 (0.003) Loss 1.6557 (1.6403) Prec@1 53.125 (55.943) Prec@5 84.375 (84.508) Epoch: [76][4050/11272] Time 0.747 (0.786) Data 0.002 (0.003) Loss 1.7864 (1.6405) Prec@1 53.750 (55.939) Prec@5 80.000 (84.506) Epoch: [76][4060/11272] Time 0.845 (0.786) Data 0.002 (0.003) Loss 1.5793 (1.6405) Prec@1 56.250 (55.938) Prec@5 85.625 (84.506) Epoch: [76][4070/11272] Time 0.828 (0.786) Data 0.002 (0.003) Loss 1.7206 (1.6404) Prec@1 57.500 (55.941) Prec@5 81.250 (84.507) Epoch: [76][4080/11272] Time 0.715 (0.786) Data 0.002 (0.003) Loss 1.5753 (1.6404) Prec@1 60.000 (55.941) Prec@5 83.125 (84.507) Epoch: [76][4090/11272] Time 0.856 (0.786) Data 0.002 (0.003) Loss 1.9794 (1.6403) Prec@1 47.500 (55.943) Prec@5 80.625 (84.510) Epoch: [76][4100/11272] Time 0.875 (0.785) Data 0.002 (0.003) Loss 1.7780 (1.6405) Prec@1 50.000 (55.940) Prec@5 86.250 (84.506) Epoch: [76][4110/11272] Time 0.740 (0.785) Data 0.001 (0.003) Loss 1.5956 (1.6404) Prec@1 54.375 (55.942) Prec@5 85.625 (84.505) Epoch: [76][4120/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 1.6391 (1.6405) Prec@1 61.250 (55.945) Prec@5 83.125 (84.501) Epoch: [76][4130/11272] Time 0.831 (0.785) Data 0.002 (0.002) Loss 1.7758 (1.6403) Prec@1 49.375 (55.947) Prec@5 86.250 (84.506) Epoch: [76][4140/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.7759 (1.6403) Prec@1 57.500 (55.949) Prec@5 84.375 (84.506) Epoch: [76][4150/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 1.7671 (1.6403) Prec@1 48.750 (55.947) Prec@5 84.375 (84.504) Epoch: [76][4160/11272] Time 0.718 (0.785) Data 0.002 (0.002) Loss 1.5391 (1.6402) Prec@1 57.500 (55.949) Prec@5 83.750 (84.509) Epoch: [76][4170/11272] Time 0.847 (0.785) Data 0.002 (0.002) Loss 1.6233 (1.6402) Prec@1 57.500 (55.951) Prec@5 83.750 (84.508) Epoch: [76][4180/11272] Time 0.852 (0.786) Data 0.002 (0.002) Loss 1.7535 (1.6404) Prec@1 53.750 (55.950) Prec@5 83.125 (84.505) Epoch: [76][4190/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.6670 (1.6403) Prec@1 55.625 (55.953) Prec@5 88.125 (84.509) Epoch: [76][4200/11272] Time 0.717 (0.785) Data 0.002 (0.002) Loss 1.6848 (1.6403) Prec@1 55.625 (55.949) Prec@5 81.875 (84.509) Epoch: [76][4210/11272] Time 0.846 (0.785) Data 0.002 (0.002) Loss 1.8088 (1.6405) Prec@1 50.000 (55.944) Prec@5 81.875 (84.509) Epoch: [76][4220/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 1.4509 (1.6406) Prec@1 61.250 (55.942) Prec@5 85.625 (84.506) Epoch: [76][4230/11272] Time 0.712 (0.785) Data 0.002 (0.002) Loss 1.4071 (1.6404) Prec@1 59.375 (55.949) Prec@5 87.500 (84.508) Epoch: [76][4240/11272] Time 0.831 (0.786) Data 0.002 (0.002) Loss 1.5823 (1.6403) Prec@1 57.500 (55.950) Prec@5 86.250 (84.509) Epoch: [76][4250/11272] Time 0.840 (0.786) Data 0.002 (0.002) Loss 1.9155 (1.6403) Prec@1 46.875 (55.945) Prec@5 85.000 (84.510) Epoch: [76][4260/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.9861 (1.6404) Prec@1 45.625 (55.943) Prec@5 78.750 (84.509) Epoch: [76][4270/11272] Time 0.708 (0.786) Data 0.001 (0.002) Loss 1.6637 (1.6405) Prec@1 58.750 (55.938) Prec@5 84.375 (84.508) Epoch: [76][4280/11272] Time 0.829 (0.786) Data 0.002 (0.002) Loss 1.8335 (1.6405) Prec@1 52.500 (55.934) Prec@5 81.875 (84.508) Epoch: [76][4290/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.6372 (1.6406) Prec@1 56.875 (55.932) Prec@5 85.000 (84.508) Epoch: [76][4300/11272] Time 0.727 (0.785) Data 0.002 (0.002) Loss 1.7425 (1.6408) Prec@1 53.125 (55.928) Prec@5 85.625 (84.505) Epoch: [76][4310/11272] Time 0.701 (0.785) Data 0.002 (0.002) Loss 1.8579 (1.6410) Prec@1 55.625 (55.927) Prec@5 80.000 (84.502) Epoch: [76][4320/11272] Time 0.843 (0.785) Data 0.002 (0.002) Loss 1.4650 (1.6410) Prec@1 63.125 (55.926) Prec@5 87.500 (84.501) Epoch: [76][4330/11272] Time 0.848 (0.785) Data 0.002 (0.002) Loss 1.9063 (1.6412) Prec@1 49.375 (55.925) Prec@5 79.375 (84.499) Epoch: [76][4340/11272] Time 0.718 (0.785) Data 0.001 (0.002) Loss 1.5490 (1.6413) Prec@1 59.375 (55.921) Prec@5 86.875 (84.499) Epoch: [76][4350/11272] Time 0.807 (0.785) Data 0.001 (0.002) Loss 1.5712 (1.6411) Prec@1 58.750 (55.926) Prec@5 86.250 (84.499) Epoch: [76][4360/11272] Time 0.859 (0.785) Data 0.002 (0.002) Loss 1.6032 (1.6411) Prec@1 58.125 (55.928) Prec@5 86.250 (84.501) Epoch: [76][4370/11272] Time 0.715 (0.785) Data 0.002 (0.002) Loss 1.6064 (1.6411) Prec@1 53.750 (55.930) Prec@5 90.000 (84.503) Epoch: [76][4380/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.5644 (1.6410) Prec@1 56.875 (55.933) Prec@5 87.500 (84.503) Epoch: [76][4390/11272] Time 0.816 (0.785) Data 0.002 (0.002) Loss 1.5421 (1.6410) Prec@1 60.000 (55.935) Prec@5 87.500 (84.502) Epoch: [76][4400/11272] Time 0.889 (0.785) Data 0.002 (0.002) Loss 2.0337 (1.6410) Prec@1 45.625 (55.937) Prec@5 77.500 (84.505) Epoch: [76][4410/11272] Time 0.732 (0.785) Data 0.002 (0.002) Loss 1.4210 (1.6409) Prec@1 60.000 (55.941) Prec@5 91.250 (84.508) Epoch: [76][4420/11272] Time 0.741 (0.785) Data 0.002 (0.002) Loss 1.7450 (1.6411) Prec@1 56.250 (55.936) Prec@5 84.375 (84.504) Epoch: [76][4430/11272] Time 0.800 (0.785) Data 0.001 (0.002) Loss 1.6353 (1.6410) Prec@1 54.375 (55.936) Prec@5 82.500 (84.502) Epoch: [76][4440/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.5913 (1.6411) Prec@1 57.500 (55.935) Prec@5 84.375 (84.500) Epoch: [76][4450/11272] Time 0.719 (0.785) Data 0.001 (0.002) Loss 1.9320 (1.6412) Prec@1 50.000 (55.934) Prec@5 77.500 (84.496) Epoch: [76][4460/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.8928 (1.6412) Prec@1 52.500 (55.933) Prec@5 79.375 (84.495) Epoch: [76][4470/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.4038 (1.6412) Prec@1 60.000 (55.931) Prec@5 88.750 (84.495) Epoch: [76][4480/11272] Time 0.710 (0.785) Data 0.003 (0.002) Loss 1.5840 (1.6413) Prec@1 58.125 (55.931) Prec@5 85.000 (84.495) Epoch: [76][4490/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.7362 (1.6414) Prec@1 50.000 (55.927) Prec@5 81.875 (84.495) Epoch: [76][4500/11272] Time 0.894 (0.785) Data 0.002 (0.002) Loss 1.6112 (1.6415) Prec@1 59.375 (55.924) Prec@5 85.625 (84.495) Epoch: [76][4510/11272] Time 0.809 (0.785) Data 0.002 (0.002) Loss 1.5677 (1.6415) Prec@1 56.250 (55.921) Prec@5 81.250 (84.491) Epoch: [76][4520/11272] Time 0.758 (0.785) Data 0.002 (0.002) Loss 1.9386 (1.6417) Prec@1 51.250 (55.918) Prec@5 79.375 (84.489) Epoch: [76][4530/11272] Time 0.700 (0.785) Data 0.001 (0.002) Loss 1.5189 (1.6417) Prec@1 60.000 (55.915) Prec@5 85.625 (84.489) Epoch: [76][4540/11272] Time 0.848 (0.785) Data 0.002 (0.002) Loss 1.9447 (1.6417) Prec@1 49.375 (55.919) Prec@5 77.500 (84.489) Epoch: [76][4550/11272] Time 0.829 (0.785) Data 0.001 (0.002) Loss 1.8326 (1.6418) Prec@1 50.000 (55.915) Prec@5 75.000 (84.485) Epoch: [76][4560/11272] Time 0.731 (0.785) Data 0.001 (0.002) Loss 1.6262 (1.6417) Prec@1 57.500 (55.920) Prec@5 86.875 (84.487) Epoch: [76][4570/11272] Time 0.768 (0.785) Data 0.002 (0.002) Loss 1.7231 (1.6418) Prec@1 56.875 (55.918) Prec@5 83.750 (84.486) Epoch: [76][4580/11272] Time 0.859 (0.785) Data 0.001 (0.002) Loss 1.5871 (1.6418) Prec@1 55.000 (55.916) Prec@5 84.375 (84.484) Epoch: [76][4590/11272] Time 0.808 (0.785) Data 0.001 (0.002) Loss 1.6233 (1.6419) Prec@1 58.750 (55.911) Prec@5 83.125 (84.482) Epoch: [76][4600/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.5905 (1.6419) Prec@1 58.750 (55.913) Prec@5 85.625 (84.484) Epoch: [76][4610/11272] Time 0.804 (0.785) Data 0.002 (0.002) Loss 1.5616 (1.6417) Prec@1 58.750 (55.914) Prec@5 85.625 (84.485) Epoch: [76][4620/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.7597 (1.6418) Prec@1 48.750 (55.913) Prec@5 84.375 (84.485) Epoch: [76][4630/11272] Time 0.714 (0.785) Data 0.001 (0.002) Loss 1.4229 (1.6418) Prec@1 56.250 (55.914) Prec@5 89.375 (84.484) Epoch: [76][4640/11272] Time 0.709 (0.785) Data 0.002 (0.002) Loss 1.6855 (1.6418) Prec@1 58.125 (55.916) Prec@5 84.375 (84.486) Epoch: [76][4650/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 1.8783 (1.6420) Prec@1 50.625 (55.912) Prec@5 80.625 (84.483) Epoch: [76][4660/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.4659 (1.6419) Prec@1 58.125 (55.912) Prec@5 87.500 (84.487) Epoch: [76][4670/11272] Time 0.755 (0.785) Data 0.002 (0.002) Loss 1.7271 (1.6419) Prec@1 53.750 (55.912) Prec@5 84.375 (84.487) Epoch: [76][4680/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.6376 (1.6419) Prec@1 60.000 (55.912) Prec@5 81.875 (84.488) Epoch: [76][4690/11272] Time 0.883 (0.785) Data 0.002 (0.002) Loss 1.6595 (1.6419) Prec@1 51.250 (55.912) Prec@5 86.875 (84.486) Epoch: [76][4700/11272] Time 0.827 (0.785) Data 0.002 (0.002) Loss 1.5381 (1.6421) Prec@1 57.500 (55.906) Prec@5 85.000 (84.484) Epoch: [76][4710/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.5394 (1.6421) Prec@1 60.625 (55.906) Prec@5 86.875 (84.483) Epoch: [76][4720/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.4402 (1.6421) Prec@1 62.500 (55.908) Prec@5 88.125 (84.482) Epoch: [76][4730/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.7130 (1.6423) Prec@1 52.500 (55.903) Prec@5 86.250 (84.481) Epoch: [76][4740/11272] Time 0.741 (0.785) Data 0.003 (0.002) Loss 1.4343 (1.6423) Prec@1 60.000 (55.902) Prec@5 90.000 (84.483) Epoch: [76][4750/11272] Time 0.749 (0.785) Data 0.002 (0.002) Loss 1.8961 (1.6425) Prec@1 50.000 (55.899) Prec@5 83.750 (84.480) Epoch: [76][4760/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.5973 (1.6425) Prec@1 50.625 (55.901) Prec@5 91.875 (84.481) Epoch: [76][4770/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.6873 (1.6425) Prec@1 51.250 (55.900) Prec@5 83.750 (84.479) Epoch: [76][4780/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.6125 (1.6426) Prec@1 53.750 (55.900) Prec@5 84.375 (84.477) Epoch: [76][4790/11272] Time 0.720 (0.785) Data 0.001 (0.002) Loss 1.6396 (1.6426) Prec@1 56.875 (55.899) Prec@5 84.375 (84.478) Epoch: [76][4800/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.4963 (1.6427) Prec@1 60.000 (55.898) Prec@5 86.875 (84.480) Epoch: [76][4810/11272] Time 0.833 (0.785) Data 0.002 (0.002) Loss 1.5728 (1.6427) Prec@1 56.875 (55.897) Prec@5 87.500 (84.479) Epoch: [76][4820/11272] Time 0.714 (0.785) Data 0.002 (0.002) Loss 1.6126 (1.6428) Prec@1 60.000 (55.895) Prec@5 84.375 (84.476) Epoch: [76][4830/11272] Time 0.745 (0.785) Data 0.002 (0.002) Loss 1.8610 (1.6428) Prec@1 51.250 (55.893) Prec@5 81.250 (84.478) Epoch: [76][4840/11272] Time 0.828 (0.785) Data 0.002 (0.002) Loss 1.7403 (1.6428) Prec@1 58.125 (55.894) Prec@5 84.375 (84.477) Epoch: [76][4850/11272] Time 0.846 (0.785) Data 0.001 (0.002) Loss 1.8349 (1.6428) Prec@1 54.375 (55.896) Prec@5 81.875 (84.478) Epoch: [76][4860/11272] Time 0.718 (0.785) Data 0.002 (0.002) Loss 1.6038 (1.6428) Prec@1 55.625 (55.895) Prec@5 84.375 (84.478) Epoch: [76][4870/11272] Time 0.806 (0.785) Data 0.002 (0.002) Loss 1.4888 (1.6427) Prec@1 59.375 (55.897) Prec@5 87.500 (84.478) Epoch: [76][4880/11272] Time 0.831 (0.785) Data 0.002 (0.002) Loss 1.4353 (1.6428) Prec@1 62.500 (55.897) Prec@5 89.375 (84.478) Epoch: [76][4890/11272] Time 0.721 (0.785) Data 0.002 (0.002) Loss 1.4873 (1.6427) Prec@1 51.250 (55.899) Prec@5 89.375 (84.478) Epoch: [76][4900/11272] Time 0.758 (0.785) Data 0.002 (0.002) Loss 2.0259 (1.6428) Prec@1 47.500 (55.894) Prec@5 80.000 (84.477) Epoch: [76][4910/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.5548 (1.6427) Prec@1 53.750 (55.896) Prec@5 85.000 (84.476) Epoch: [76][4920/11272] Time 0.808 (0.785) Data 0.001 (0.002) Loss 1.8094 (1.6428) Prec@1 50.625 (55.893) Prec@5 85.000 (84.476) Epoch: [76][4930/11272] Time 0.757 (0.785) Data 0.002 (0.002) Loss 1.6309 (1.6428) Prec@1 56.250 (55.892) Prec@5 87.500 (84.476) Epoch: [76][4940/11272] Time 0.717 (0.785) Data 0.002 (0.002) Loss 1.6444 (1.6429) Prec@1 51.875 (55.889) Prec@5 83.750 (84.474) Epoch: [76][4950/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.7257 (1.6430) Prec@1 56.875 (55.884) Prec@5 86.875 (84.472) Epoch: [76][4960/11272] Time 0.814 (0.785) Data 0.002 (0.002) Loss 1.6644 (1.6430) Prec@1 56.875 (55.884) Prec@5 85.000 (84.470) Epoch: [76][4970/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.5138 (1.6431) Prec@1 57.500 (55.884) Prec@5 88.125 (84.470) Epoch: [76][4980/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.8020 (1.6430) Prec@1 52.500 (55.887) Prec@5 83.750 (84.473) Epoch: [76][4990/11272] Time 0.922 (0.785) Data 0.002 (0.002) Loss 1.6353 (1.6430) Prec@1 53.125 (55.886) Prec@5 87.500 (84.477) Epoch: [76][5000/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.4582 (1.6429) Prec@1 61.875 (55.890) Prec@5 86.875 (84.476) Epoch: [76][5010/11272] Time 0.708 (0.785) Data 0.002 (0.002) Loss 1.7448 (1.6430) Prec@1 51.875 (55.885) Prec@5 82.500 (84.476) Epoch: [76][5020/11272] Time 0.834 (0.785) Data 0.002 (0.002) Loss 1.8390 (1.6432) Prec@1 51.875 (55.878) Prec@5 81.250 (84.474) Epoch: [76][5030/11272] Time 0.859 (0.785) Data 0.002 (0.002) Loss 1.8028 (1.6432) Prec@1 48.750 (55.879) Prec@5 82.500 (84.473) Epoch: [76][5040/11272] Time 0.765 (0.785) Data 0.002 (0.002) Loss 1.6179 (1.6433) Prec@1 58.125 (55.876) Prec@5 84.375 (84.471) Epoch: [76][5050/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.5337 (1.6433) Prec@1 57.500 (55.874) Prec@5 86.875 (84.471) Epoch: [76][5060/11272] Time 0.820 (0.785) Data 0.001 (0.002) Loss 1.5734 (1.6435) Prec@1 55.625 (55.872) Prec@5 90.000 (84.470) Epoch: [76][5070/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.8010 (1.6435) Prec@1 56.250 (55.873) Prec@5 78.125 (84.471) Epoch: [76][5080/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 1.2924 (1.6433) Prec@1 62.500 (55.877) Prec@5 89.375 (84.472) Epoch: [76][5090/11272] Time 0.722 (0.785) Data 0.001 (0.002) Loss 1.8707 (1.6435) Prec@1 56.250 (55.871) Prec@5 80.000 (84.470) Epoch: [76][5100/11272] Time 0.823 (0.785) Data 0.002 (0.002) Loss 1.7418 (1.6436) Prec@1 54.375 (55.871) Prec@5 82.500 (84.468) Epoch: [76][5110/11272] Time 0.816 (0.785) Data 0.001 (0.002) Loss 1.5158 (1.6437) Prec@1 60.625 (55.868) Prec@5 86.250 (84.467) Epoch: [76][5120/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 1.6789 (1.6436) Prec@1 55.000 (55.869) Prec@5 82.500 (84.468) Epoch: [76][5130/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 1.7631 (1.6438) Prec@1 51.875 (55.865) Prec@5 82.500 (84.462) Epoch: [76][5140/11272] Time 0.822 (0.785) Data 0.002 (0.002) Loss 2.0007 (1.6439) Prec@1 41.875 (55.861) Prec@5 81.250 (84.458) Epoch: [76][5150/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.4888 (1.6439) Prec@1 58.125 (55.863) Prec@5 91.250 (84.460) Epoch: [76][5160/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.4240 (1.6438) Prec@1 63.125 (55.862) Prec@5 87.500 (84.462) Epoch: [76][5170/11272] Time 0.877 (0.785) Data 0.002 (0.002) Loss 1.5333 (1.6439) Prec@1 56.250 (55.864) Prec@5 83.125 (84.459) Epoch: [76][5180/11272] Time 0.822 (0.785) Data 0.002 (0.002) Loss 1.6457 (1.6439) Prec@1 55.000 (55.865) Prec@5 85.625 (84.461) Epoch: [76][5190/11272] Time 0.739 (0.785) Data 0.001 (0.002) Loss 1.4835 (1.6437) Prec@1 61.250 (55.869) Prec@5 85.625 (84.464) Epoch: [76][5200/11272] Time 0.708 (0.785) Data 0.002 (0.002) Loss 1.6414 (1.6436) Prec@1 60.000 (55.873) Prec@5 83.750 (84.467) Epoch: [76][5210/11272] Time 0.810 (0.785) Data 0.002 (0.002) Loss 1.6298 (1.6436) Prec@1 57.500 (55.874) Prec@5 85.625 (84.464) Epoch: [76][5220/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.7339 (1.6437) Prec@1 57.500 (55.873) Prec@5 83.125 (84.461) Epoch: [76][5230/11272] Time 0.710 (0.785) Data 0.002 (0.002) Loss 1.6976 (1.6437) Prec@1 54.375 (55.875) Prec@5 87.500 (84.461) Epoch: [76][5240/11272] Time 0.729 (0.785) Data 0.002 (0.002) Loss 1.4857 (1.6438) Prec@1 66.250 (55.874) Prec@5 85.000 (84.457) Epoch: [76][5250/11272] Time 0.846 (0.785) Data 0.002 (0.002) Loss 1.3989 (1.6436) Prec@1 57.500 (55.876) Prec@5 90.000 (84.462) Epoch: [76][5260/11272] Time 0.822 (0.785) Data 0.002 (0.002) Loss 1.5822 (1.6435) Prec@1 53.125 (55.878) Prec@5 85.000 (84.462) Epoch: [76][5270/11272] Time 0.729 (0.785) Data 0.002 (0.002) Loss 1.6032 (1.6435) Prec@1 55.625 (55.876) Prec@5 87.500 (84.463) Epoch: [76][5280/11272] Time 0.864 (0.785) Data 0.002 (0.002) Loss 1.6794 (1.6437) Prec@1 55.000 (55.874) Prec@5 82.500 (84.460) Epoch: [76][5290/11272] Time 0.855 (0.785) Data 0.001 (0.002) Loss 1.5742 (1.6435) Prec@1 62.500 (55.880) Prec@5 83.750 (84.464) Epoch: [76][5300/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 1.8111 (1.6435) Prec@1 53.750 (55.878) Prec@5 83.125 (84.465) Epoch: [76][5310/11272] Time 0.729 (0.785) Data 0.001 (0.002) Loss 1.7272 (1.6436) Prec@1 55.000 (55.878) Prec@5 80.625 (84.462) Epoch: [76][5320/11272] Time 0.819 (0.785) Data 0.002 (0.002) Loss 1.7054 (1.6436) Prec@1 48.125 (55.878) Prec@5 83.125 (84.460) Epoch: [76][5330/11272] Time 0.843 (0.785) Data 0.002 (0.002) Loss 1.5695 (1.6437) Prec@1 56.875 (55.879) Prec@5 87.500 (84.459) Epoch: [76][5340/11272] Time 0.720 (0.785) Data 0.002 (0.002) Loss 1.9357 (1.6436) Prec@1 52.500 (55.880) Prec@5 78.125 (84.461) Epoch: [76][5350/11272] Time 0.730 (0.785) Data 0.002 (0.002) Loss 1.6276 (1.6435) Prec@1 60.000 (55.884) Prec@5 85.000 (84.465) Epoch: [76][5360/11272] Time 0.850 (0.785) Data 0.002 (0.002) Loss 1.4595 (1.6434) Prec@1 58.750 (55.887) Prec@5 86.875 (84.467) Epoch: [76][5370/11272] Time 0.812 (0.785) Data 0.001 (0.002) Loss 1.6040 (1.6433) Prec@1 58.125 (55.885) Prec@5 83.750 (84.469) Epoch: [76][5380/11272] Time 0.774 (0.785) Data 0.002 (0.002) Loss 1.7487 (1.6434) Prec@1 53.750 (55.885) Prec@5 85.000 (84.467) Epoch: [76][5390/11272] Time 0.713 (0.785) Data 0.002 (0.002) Loss 1.5235 (1.6434) Prec@1 60.625 (55.885) Prec@5 86.875 (84.467) Epoch: [76][5400/11272] Time 0.888 (0.785) Data 0.002 (0.002) Loss 1.6747 (1.6433) Prec@1 55.625 (55.887) Prec@5 86.250 (84.469) Epoch: [76][5410/11272] Time 0.732 (0.785) Data 0.003 (0.002) Loss 1.6261 (1.6434) Prec@1 58.750 (55.885) Prec@5 84.375 (84.466) Epoch: [76][5420/11272] Time 0.723 (0.785) Data 0.002 (0.002) Loss 1.7567 (1.6435) Prec@1 51.875 (55.883) Prec@5 81.875 (84.465) Epoch: [76][5430/11272] Time 0.817 (0.785) Data 0.002 (0.002) Loss 1.7845 (1.6435) Prec@1 51.875 (55.882) Prec@5 81.250 (84.466) Epoch: [76][5440/11272] Time 0.885 (0.785) Data 0.001 (0.002) Loss 1.6202 (1.6435) Prec@1 58.125 (55.882) Prec@5 85.000 (84.468) Epoch: [76][5450/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.8138 (1.6437) Prec@1 46.250 (55.876) Prec@5 82.500 (84.464) Epoch: [76][5460/11272] Time 0.743 (0.785) Data 0.002 (0.002) Loss 1.7301 (1.6437) Prec@1 53.750 (55.875) Prec@5 82.500 (84.460) Epoch: [76][5470/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.6641 (1.6437) Prec@1 60.000 (55.876) Prec@5 81.250 (84.462) Epoch: [76][5480/11272] Time 0.909 (0.785) Data 0.002 (0.002) Loss 1.4643 (1.6437) Prec@1 55.625 (55.872) Prec@5 91.875 (84.460) Epoch: [76][5490/11272] Time 0.734 (0.785) Data 0.001 (0.002) Loss 1.5753 (1.6437) Prec@1 55.000 (55.876) Prec@5 86.875 (84.461) Epoch: [76][5500/11272] Time 0.731 (0.785) Data 0.002 (0.002) Loss 1.5617 (1.6438) Prec@1 62.500 (55.877) Prec@5 85.625 (84.459) Epoch: [76][5510/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.4502 (1.6437) Prec@1 59.375 (55.878) Prec@5 83.750 (84.460) Epoch: [76][5520/11272] Time 0.904 (0.785) Data 0.002 (0.002) Loss 1.5179 (1.6437) Prec@1 57.500 (55.878) Prec@5 83.750 (84.461) Epoch: [76][5530/11272] Time 0.753 (0.785) Data 0.002 (0.002) Loss 1.7580 (1.6437) Prec@1 53.750 (55.878) Prec@5 83.125 (84.461) Epoch: [76][5540/11272] Time 0.825 (0.785) Data 0.002 (0.002) Loss 1.5085 (1.6437) Prec@1 54.375 (55.877) Prec@5 89.375 (84.462) Epoch: [76][5550/11272] Time 0.823 (0.785) Data 0.001 (0.002) Loss 1.8149 (1.6437) Prec@1 54.375 (55.875) Prec@5 80.625 (84.460) Epoch: [76][5560/11272] Time 0.728 (0.785) Data 0.001 (0.002) Loss 1.6637 (1.6437) Prec@1 58.750 (55.877) Prec@5 83.125 (84.460) Epoch: [76][5570/11272] Time 0.719 (0.785) Data 0.002 (0.002) Loss 1.8571 (1.6437) Prec@1 56.250 (55.878) Prec@5 81.250 (84.459) Epoch: [76][5580/11272] Time 0.875 (0.785) Data 0.002 (0.002) Loss 1.7506 (1.6438) Prec@1 53.750 (55.879) Prec@5 82.500 (84.458) Epoch: [76][5590/11272] Time 0.860 (0.785) Data 0.002 (0.002) Loss 1.7978 (1.6438) Prec@1 53.750 (55.878) Prec@5 82.500 (84.457) Epoch: [76][5600/11272] Time 0.718 (0.785) Data 0.002 (0.002) Loss 1.6598 (1.6439) Prec@1 53.125 (55.876) Prec@5 81.250 (84.455) Epoch: [76][5610/11272] Time 0.740 (0.785) Data 0.002 (0.002) Loss 1.3892 (1.6437) Prec@1 57.500 (55.878) Prec@5 91.250 (84.456) Epoch: [76][5620/11272] Time 0.844 (0.785) Data 0.001 (0.002) Loss 1.7799 (1.6438) Prec@1 51.875 (55.877) Prec@5 83.125 (84.456) Epoch: [76][5630/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 2.0759 (1.6439) Prec@1 48.125 (55.875) Prec@5 78.125 (84.454) Epoch: [76][5640/11272] Time 0.740 (0.785) Data 0.002 (0.002) Loss 1.5078 (1.6439) Prec@1 61.875 (55.875) Prec@5 85.000 (84.454) Epoch: [76][5650/11272] Time 0.774 (0.785) Data 0.002 (0.002) Loss 1.5789 (1.6438) Prec@1 53.750 (55.873) Prec@5 86.875 (84.455) Epoch: [76][5660/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.3027 (1.6438) Prec@1 66.250 (55.873) Prec@5 88.125 (84.455) Epoch: [76][5670/11272] Time 0.717 (0.785) Data 0.003 (0.002) Loss 1.8364 (1.6439) Prec@1 50.625 (55.872) Prec@5 81.875 (84.453) Epoch: [76][5680/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.7150 (1.6438) Prec@1 61.875 (55.875) Prec@5 83.750 (84.454) Epoch: [76][5690/11272] Time 0.818 (0.785) Data 0.001 (0.002) Loss 1.6319 (1.6439) Prec@1 56.875 (55.876) Prec@5 83.125 (84.453) Epoch: [76][5700/11272] Time 0.824 (0.785) Data 0.002 (0.002) Loss 1.5465 (1.6439) Prec@1 58.125 (55.874) Prec@5 86.875 (84.454) Epoch: [76][5710/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.6984 (1.6439) Prec@1 54.375 (55.870) Prec@5 82.500 (84.454) Epoch: [76][5720/11272] Time 0.687 (0.785) Data 0.001 (0.002) Loss 1.5241 (1.6439) Prec@1 56.875 (55.867) Prec@5 86.250 (84.454) Epoch: [76][5730/11272] Time 0.819 (0.785) Data 0.001 (0.002) Loss 1.7226 (1.6440) Prec@1 59.375 (55.868) Prec@5 84.375 (84.453) Epoch: [76][5740/11272] Time 0.823 (0.785) Data 0.002 (0.002) Loss 1.8517 (1.6440) Prec@1 50.000 (55.867) Prec@5 79.375 (84.453) Epoch: [76][5750/11272] Time 0.729 (0.785) Data 0.002 (0.002) Loss 1.6591 (1.6439) Prec@1 58.750 (55.867) Prec@5 83.125 (84.453) Epoch: [76][5760/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.3635 (1.6439) Prec@1 61.250 (55.869) Prec@5 88.125 (84.453) Epoch: [76][5770/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.4813 (1.6438) Prec@1 60.000 (55.873) Prec@5 87.500 (84.455) Epoch: [76][5780/11272] Time 0.834 (0.785) Data 0.001 (0.002) Loss 1.7240 (1.6438) Prec@1 60.000 (55.872) Prec@5 80.625 (84.455) Epoch: [76][5790/11272] Time 0.709 (0.785) Data 0.001 (0.002) Loss 1.6370 (1.6438) Prec@1 55.000 (55.871) Prec@5 82.500 (84.455) Epoch: [76][5800/11272] Time 0.864 (0.785) Data 0.002 (0.002) Loss 1.4565 (1.6438) Prec@1 62.500 (55.874) Prec@5 86.875 (84.456) Epoch: [76][5810/11272] Time 0.862 (0.785) Data 0.002 (0.002) Loss 1.6985 (1.6438) Prec@1 51.250 (55.872) Prec@5 84.375 (84.457) Epoch: [76][5820/11272] Time 0.712 (0.785) Data 0.001 (0.002) Loss 1.7339 (1.6438) Prec@1 51.250 (55.872) Prec@5 84.375 (84.458) Epoch: [76][5830/11272] Time 0.740 (0.785) Data 0.002 (0.002) Loss 1.7950 (1.6440) Prec@1 55.625 (55.869) Prec@5 79.375 (84.453) Epoch: [76][5840/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.6486 (1.6440) Prec@1 55.625 (55.866) Prec@5 83.125 (84.452) Epoch: [76][5850/11272] Time 0.820 (0.785) Data 0.001 (0.002) Loss 1.6629 (1.6441) Prec@1 55.625 (55.864) Prec@5 81.250 (84.451) Epoch: [76][5860/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.6611 (1.6442) Prec@1 55.625 (55.861) Prec@5 83.125 (84.450) Epoch: [76][5870/11272] Time 0.732 (0.785) Data 0.002 (0.002) Loss 1.5752 (1.6442) Prec@1 55.000 (55.859) Prec@5 84.375 (84.450) Epoch: [76][5880/11272] Time 0.834 (0.785) Data 0.002 (0.002) Loss 1.6911 (1.6442) Prec@1 52.500 (55.859) Prec@5 85.625 (84.451) Epoch: [76][5890/11272] Time 0.772 (0.785) Data 0.001 (0.002) Loss 1.5355 (1.6443) Prec@1 58.750 (55.858) Prec@5 86.250 (84.449) Epoch: [76][5900/11272] Time 0.736 (0.785) Data 0.002 (0.002) Loss 1.7314 (1.6443) Prec@1 52.500 (55.857) Prec@5 81.875 (84.448) Epoch: [76][5910/11272] Time 0.784 (0.785) Data 0.002 (0.002) Loss 1.7050 (1.6444) Prec@1 54.375 (55.853) Prec@5 82.500 (84.448) Epoch: [76][5920/11272] Time 0.830 (0.785) Data 0.002 (0.002) Loss 1.6576 (1.6445) Prec@1 53.750 (55.850) Prec@5 86.250 (84.448) Epoch: [76][5930/11272] Time 0.810 (0.785) Data 0.001 (0.002) Loss 1.6104 (1.6445) Prec@1 59.375 (55.856) Prec@5 86.250 (84.449) Epoch: [76][5940/11272] Time 0.708 (0.785) Data 0.001 (0.002) Loss 1.4836 (1.6445) Prec@1 58.750 (55.856) Prec@5 84.375 (84.449) Epoch: [76][5950/11272] Time 0.845 (0.785) Data 0.002 (0.002) Loss 1.4622 (1.6445) Prec@1 60.000 (55.857) Prec@5 86.875 (84.448) Epoch: [76][5960/11272] Time 0.851 (0.785) Data 0.002 (0.002) Loss 1.4160 (1.6445) Prec@1 62.500 (55.857) Prec@5 87.500 (84.448) Epoch: [76][5970/11272] Time 0.756 (0.785) Data 0.002 (0.002) Loss 1.7110 (1.6444) Prec@1 54.375 (55.860) Prec@5 81.875 (84.449) Epoch: [76][5980/11272] Time 0.714 (0.785) Data 0.001 (0.002) Loss 1.6274 (1.6445) Prec@1 58.750 (55.859) Prec@5 84.375 (84.449) Epoch: [76][5990/11272] Time 0.837 (0.785) Data 0.002 (0.002) Loss 1.6167 (1.6445) Prec@1 53.750 (55.858) Prec@5 85.625 (84.451) Epoch: [76][6000/11272] Time 0.799 (0.785) Data 0.001 (0.002) Loss 1.4555 (1.6445) Prec@1 58.750 (55.856) Prec@5 88.125 (84.452) Epoch: [76][6010/11272] Time 0.707 (0.785) Data 0.001 (0.002) Loss 1.6757 (1.6445) Prec@1 48.750 (55.856) Prec@5 85.000 (84.453) Epoch: [76][6020/11272] Time 0.721 (0.785) Data 0.002 (0.002) Loss 1.7603 (1.6445) Prec@1 51.875 (55.856) Prec@5 83.125 (84.452) Epoch: [76][6030/11272] Time 0.865 (0.785) Data 0.001 (0.002) Loss 1.6553 (1.6447) Prec@1 54.375 (55.853) Prec@5 84.375 (84.451) Epoch: [76][6040/11272] Time 0.836 (0.785) Data 0.002 (0.002) Loss 1.7249 (1.6447) Prec@1 57.500 (55.852) Prec@5 80.625 (84.450) Epoch: [76][6050/11272] Time 0.708 (0.785) Data 0.002 (0.002) Loss 1.6895 (1.6447) Prec@1 57.500 (55.852) Prec@5 83.750 (84.450) Epoch: [76][6060/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 1.4944 (1.6447) Prec@1 58.125 (55.852) Prec@5 83.750 (84.449) Epoch: [76][6070/11272] Time 0.848 (0.785) Data 0.002 (0.002) Loss 1.6366 (1.6446) Prec@1 56.875 (55.853) Prec@5 84.375 (84.451) Epoch: [76][6080/11272] Time 0.735 (0.785) Data 0.001 (0.002) Loss 1.7878 (1.6447) Prec@1 48.750 (55.849) Prec@5 85.625 (84.452) Epoch: [76][6090/11272] Time 0.722 (0.785) Data 0.002 (0.002) Loss 1.5645 (1.6448) Prec@1 54.375 (55.848) Prec@5 85.625 (84.453) Epoch: [76][6100/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.6095 (1.6448) Prec@1 57.500 (55.850) Prec@5 83.750 (84.453) Epoch: [76][6110/11272] Time 0.873 (0.785) Data 0.002 (0.002) Loss 1.7571 (1.6449) Prec@1 54.375 (55.848) Prec@5 81.250 (84.452) Epoch: [76][6120/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.6127 (1.6448) Prec@1 54.375 (55.849) Prec@5 83.125 (84.454) Epoch: [76][6130/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.4502 (1.6448) Prec@1 61.250 (55.847) Prec@5 90.625 (84.455) Epoch: [76][6140/11272] Time 0.838 (0.785) Data 0.001 (0.002) Loss 1.7422 (1.6447) Prec@1 53.750 (55.852) Prec@5 81.875 (84.454) Epoch: [76][6150/11272] Time 0.825 (0.785) Data 0.001 (0.002) Loss 1.7062 (1.6449) Prec@1 48.750 (55.846) Prec@5 84.375 (84.452) Epoch: [76][6160/11272] Time 0.746 (0.785) Data 0.002 (0.002) Loss 1.7048 (1.6448) Prec@1 58.125 (55.847) Prec@5 83.750 (84.452) Epoch: [76][6170/11272] Time 0.714 (0.785) Data 0.002 (0.002) Loss 1.6963 (1.6450) Prec@1 56.250 (55.844) Prec@5 86.875 (84.450) Epoch: [76][6180/11272] Time 0.792 (0.785) Data 0.001 (0.002) Loss 1.6141 (1.6450) Prec@1 58.750 (55.843) Prec@5 82.500 (84.448) Epoch: [76][6190/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.4304 (1.6450) Prec@1 60.625 (55.842) Prec@5 87.500 (84.448) Epoch: [76][6200/11272] Time 0.725 (0.785) Data 0.002 (0.002) Loss 1.5528 (1.6450) Prec@1 55.625 (55.844) Prec@5 86.250 (84.448) Epoch: [76][6210/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.4851 (1.6450) Prec@1 61.250 (55.846) Prec@5 86.250 (84.448) Epoch: [76][6220/11272] Time 0.845 (0.785) Data 0.002 (0.002) Loss 1.6306 (1.6450) Prec@1 52.500 (55.841) Prec@5 86.250 (84.448) Epoch: [76][6230/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.7961 (1.6450) Prec@1 50.000 (55.841) Prec@5 82.500 (84.449) Epoch: [76][6240/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.7525 (1.6451) Prec@1 53.750 (55.838) Prec@5 79.375 (84.447) Epoch: [76][6250/11272] Time 0.846 (0.785) Data 0.002 (0.002) Loss 1.6690 (1.6451) Prec@1 51.875 (55.836) Prec@5 85.625 (84.447) Epoch: [76][6260/11272] Time 0.847 (0.785) Data 0.002 (0.002) Loss 1.5865 (1.6451) Prec@1 52.500 (55.834) Prec@5 85.625 (84.446) Epoch: [76][6270/11272] Time 0.721 (0.785) Data 0.002 (0.002) Loss 1.6501 (1.6451) Prec@1 54.375 (55.833) Prec@5 86.250 (84.447) Epoch: [76][6280/11272] Time 0.741 (0.785) Data 0.002 (0.002) Loss 1.4089 (1.6451) Prec@1 61.250 (55.833) Prec@5 87.500 (84.447) Epoch: [76][6290/11272] Time 0.888 (0.785) Data 0.002 (0.002) Loss 1.5446 (1.6452) Prec@1 56.875 (55.832) Prec@5 86.875 (84.446) Epoch: [76][6300/11272] Time 0.851 (0.785) Data 0.001 (0.002) Loss 1.7591 (1.6454) Prec@1 54.375 (55.827) Prec@5 81.250 (84.443) Epoch: [76][6310/11272] Time 0.727 (0.785) Data 0.001 (0.002) Loss 1.8706 (1.6454) Prec@1 50.000 (55.827) Prec@5 81.250 (84.442) Epoch: [76][6320/11272] Time 0.762 (0.785) Data 0.001 (0.002) Loss 1.7244 (1.6455) Prec@1 52.500 (55.825) Prec@5 83.125 (84.441) Epoch: [76][6330/11272] Time 0.814 (0.785) Data 0.001 (0.002) Loss 1.7269 (1.6455) Prec@1 53.125 (55.824) Prec@5 80.625 (84.439) Epoch: [76][6340/11272] Time 0.729 (0.785) Data 0.003 (0.002) Loss 1.6489 (1.6454) Prec@1 55.625 (55.824) Prec@5 81.875 (84.440) Epoch: [76][6350/11272] Time 0.721 (0.785) Data 0.002 (0.002) Loss 1.7116 (1.6454) Prec@1 55.000 (55.824) Prec@5 83.125 (84.440) Epoch: [76][6360/11272] Time 0.898 (0.785) Data 0.001 (0.002) Loss 1.9725 (1.6454) Prec@1 47.500 (55.822) Prec@5 81.875 (84.439) Epoch: [76][6370/11272] Time 0.832 (0.785) Data 0.002 (0.002) Loss 1.6725 (1.6454) Prec@1 60.000 (55.825) Prec@5 85.625 (84.440) Epoch: [76][6380/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.9047 (1.6455) Prec@1 51.875 (55.825) Prec@5 78.750 (84.438) Epoch: [76][6390/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.6801 (1.6454) Prec@1 60.000 (55.824) Prec@5 83.750 (84.439) Epoch: [76][6400/11272] Time 0.863 (0.785) Data 0.002 (0.002) Loss 1.7580 (1.6455) Prec@1 54.375 (55.824) Prec@5 83.125 (84.438) Epoch: [76][6410/11272] Time 0.849 (0.785) Data 0.002 (0.002) Loss 1.7326 (1.6455) Prec@1 58.125 (55.826) Prec@5 82.500 (84.435) Epoch: [76][6420/11272] Time 0.726 (0.785) Data 0.001 (0.002) Loss 1.7492 (1.6456) Prec@1 60.625 (55.826) Prec@5 78.750 (84.433) Epoch: [76][6430/11272] Time 0.709 (0.785) Data 0.002 (0.002) Loss 1.4275 (1.6455) Prec@1 60.000 (55.830) Prec@5 90.000 (84.435) Epoch: [76][6440/11272] Time 0.828 (0.785) Data 0.001 (0.002) Loss 1.7306 (1.6455) Prec@1 53.750 (55.829) Prec@5 81.250 (84.433) Epoch: [76][6450/11272] Time 0.812 (0.785) Data 0.002 (0.002) Loss 1.5899 (1.6456) Prec@1 53.125 (55.828) Prec@5 88.125 (84.434) Epoch: [76][6460/11272] Time 0.755 (0.785) Data 0.001 (0.002) Loss 1.6997 (1.6456) Prec@1 54.375 (55.827) Prec@5 84.375 (84.433) Epoch: [76][6470/11272] Time 0.936 (0.785) Data 0.001 (0.002) Loss 1.5875 (1.6456) Prec@1 56.250 (55.827) Prec@5 86.875 (84.434) Epoch: [76][6480/11272] Time 0.817 (0.785) Data 0.001 (0.002) Loss 1.6329 (1.6456) Prec@1 61.875 (55.827) Prec@5 81.250 (84.433) Epoch: [76][6490/11272] Time 0.741 (0.785) Data 0.001 (0.002) Loss 1.6463 (1.6456) Prec@1 53.125 (55.826) Prec@5 86.250 (84.435) Epoch: [76][6500/11272] Time 0.732 (0.785) Data 0.001 (0.002) Loss 1.5600 (1.6455) Prec@1 54.375 (55.826) Prec@5 86.250 (84.436) Epoch: [76][6510/11272] Time 0.866 (0.785) Data 0.002 (0.002) Loss 1.6520 (1.6454) Prec@1 51.875 (55.827) Prec@5 84.375 (84.438) Epoch: [76][6520/11272] Time 0.871 (0.785) Data 0.002 (0.002) Loss 1.5061 (1.6454) Prec@1 63.750 (55.828) Prec@5 84.375 (84.440) Epoch: [76][6530/11272] Time 0.706 (0.785) Data 0.001 (0.002) Loss 1.8017 (1.6454) Prec@1 56.875 (55.827) Prec@5 84.375 (84.440) Epoch: [76][6540/11272] Time 0.735 (0.785) Data 0.002 (0.002) Loss 1.9090 (1.6454) Prec@1 46.875 (55.825) Prec@5 77.500 (84.438) Epoch: [76][6550/11272] Time 0.807 (0.785) Data 0.001 (0.002) Loss 1.5978 (1.6454) Prec@1 58.750 (55.825) Prec@5 85.000 (84.437) Epoch: [76][6560/11272] Time 0.864 (0.785) Data 0.001 (0.002) Loss 1.5376 (1.6456) Prec@1 58.125 (55.822) Prec@5 86.875 (84.435) Epoch: [76][6570/11272] Time 0.722 (0.785) Data 0.001 (0.002) Loss 1.5021 (1.6457) Prec@1 55.000 (55.819) Prec@5 85.625 (84.434) Epoch: [76][6580/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.6073 (1.6457) Prec@1 56.250 (55.821) Prec@5 85.000 (84.434) Epoch: [76][6590/11272] Time 0.803 (0.785) Data 0.001 (0.002) Loss 1.4868 (1.6457) Prec@1 59.375 (55.820) Prec@5 88.125 (84.434) Epoch: [76][6600/11272] Time 0.751 (0.785) Data 0.003 (0.002) Loss 1.5276 (1.6456) Prec@1 61.250 (55.821) Prec@5 86.875 (84.436) Epoch: [76][6610/11272] Time 0.762 (0.785) Data 0.002 (0.002) Loss 1.6927 (1.6458) Prec@1 48.125 (55.819) Prec@5 85.000 (84.434) Epoch: [76][6620/11272] Time 0.826 (0.785) Data 0.001 (0.002) Loss 1.7218 (1.6459) Prec@1 53.750 (55.816) Prec@5 83.750 (84.432) Epoch: [76][6630/11272] Time 0.836 (0.785) Data 0.001 (0.002) Loss 1.8661 (1.6460) Prec@1 53.750 (55.813) Prec@5 78.750 (84.430) Epoch: [76][6640/11272] Time 0.754 (0.785) Data 0.002 (0.002) Loss 1.7115 (1.6459) Prec@1 53.750 (55.813) Prec@5 82.500 (84.431) Epoch: [76][6650/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.6665 (1.6460) Prec@1 49.375 (55.812) Prec@5 83.750 (84.430) Epoch: [76][6660/11272] Time 0.821 (0.785) Data 0.001 (0.002) Loss 1.7498 (1.6461) Prec@1 55.000 (55.810) Prec@5 80.000 (84.428) Epoch: [76][6670/11272] Time 0.836 (0.785) Data 0.001 (0.002) Loss 1.7052 (1.6462) Prec@1 57.500 (55.808) Prec@5 80.625 (84.426) Epoch: [76][6680/11272] Time 0.732 (0.785) Data 0.002 (0.002) Loss 1.7806 (1.6461) Prec@1 55.625 (55.808) Prec@5 82.500 (84.427) Epoch: [76][6690/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.6163 (1.6461) Prec@1 55.000 (55.808) Prec@5 85.625 (84.427) Epoch: [76][6700/11272] Time 0.875 (0.785) Data 0.002 (0.002) Loss 1.4859 (1.6460) Prec@1 60.625 (55.810) Prec@5 85.625 (84.428) Epoch: [76][6710/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.7063 (1.6461) Prec@1 51.250 (55.808) Prec@5 83.125 (84.428) Epoch: [76][6720/11272] Time 0.739 (0.785) Data 0.002 (0.002) Loss 1.3581 (1.6461) Prec@1 61.250 (55.807) Prec@5 90.000 (84.427) Epoch: [76][6730/11272] Time 0.859 (0.785) Data 0.002 (0.002) Loss 1.8545 (1.6461) Prec@1 55.000 (55.805) Prec@5 81.250 (84.427) Epoch: [76][6740/11272] Time 0.818 (0.785) Data 0.001 (0.002) Loss 1.5213 (1.6460) Prec@1 58.750 (55.807) Prec@5 86.875 (84.428) Epoch: [76][6750/11272] Time 0.705 (0.785) Data 0.001 (0.002) Loss 1.7717 (1.6461) Prec@1 50.625 (55.807) Prec@5 85.000 (84.427) Epoch: [76][6760/11272] Time 0.752 (0.785) Data 0.002 (0.002) Loss 1.5557 (1.6461) Prec@1 55.625 (55.807) Prec@5 90.625 (84.426) Epoch: [76][6770/11272] Time 0.827 (0.785) Data 0.002 (0.002) Loss 1.5910 (1.6460) Prec@1 54.375 (55.809) Prec@5 85.000 (84.429) Epoch: [76][6780/11272] Time 0.847 (0.785) Data 0.002 (0.002) Loss 1.8063 (1.6461) Prec@1 55.000 (55.807) Prec@5 80.625 (84.427) Epoch: [76][6790/11272] Time 0.711 (0.785) Data 0.002 (0.002) Loss 1.7080 (1.6461) Prec@1 50.000 (55.805) Prec@5 83.125 (84.426) Epoch: [76][6800/11272] Time 0.725 (0.785) Data 0.002 (0.002) Loss 1.7387 (1.6461) Prec@1 53.750 (55.805) Prec@5 85.625 (84.428) Epoch: [76][6810/11272] Time 0.815 (0.785) Data 0.001 (0.002) Loss 1.8601 (1.6462) Prec@1 48.750 (55.801) Prec@5 83.125 (84.426) Epoch: [76][6820/11272] Time 0.817 (0.785) Data 0.002 (0.002) Loss 1.7109 (1.6462) Prec@1 56.250 (55.801) Prec@5 85.625 (84.425) Epoch: [76][6830/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.5309 (1.6462) Prec@1 56.875 (55.801) Prec@5 83.750 (84.424) Epoch: [76][6840/11272] Time 0.710 (0.785) Data 0.001 (0.002) Loss 1.8365 (1.6463) Prec@1 49.375 (55.800) Prec@5 81.875 (84.423) Epoch: [76][6850/11272] Time 0.860 (0.785) Data 0.002 (0.002) Loss 1.5033 (1.6463) Prec@1 55.000 (55.800) Prec@5 87.500 (84.423) Epoch: [76][6860/11272] Time 0.808 (0.785) Data 0.002 (0.002) Loss 1.8159 (1.6462) Prec@1 51.875 (55.801) Prec@5 81.875 (84.424) Epoch: [76][6870/11272] Time 0.736 (0.785) Data 0.001 (0.002) Loss 1.4392 (1.6462) Prec@1 61.875 (55.804) Prec@5 85.625 (84.426) Epoch: [76][6880/11272] Time 0.816 (0.785) Data 0.001 (0.002) Loss 1.6782 (1.6462) Prec@1 51.250 (55.804) Prec@5 86.250 (84.426) Epoch: [76][6890/11272] Time 0.842 (0.785) Data 0.002 (0.002) Loss 1.7464 (1.6461) Prec@1 53.125 (55.806) Prec@5 85.625 (84.426) Epoch: [76][6900/11272] Time 0.716 (0.785) Data 0.001 (0.002) Loss 1.6183 (1.6461) Prec@1 57.500 (55.808) Prec@5 85.625 (84.428) Epoch: [76][6910/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 1.8423 (1.6461) Prec@1 50.625 (55.811) Prec@5 83.750 (84.430) Epoch: [76][6920/11272] Time 0.823 (0.785) Data 0.002 (0.002) Loss 1.9478 (1.6462) Prec@1 52.500 (55.808) Prec@5 79.375 (84.428) Epoch: [76][6930/11272] Time 0.841 (0.785) Data 0.002 (0.002) Loss 1.8675 (1.6463) Prec@1 51.250 (55.807) Prec@5 79.375 (84.425) Epoch: [76][6940/11272] Time 0.745 (0.785) Data 0.002 (0.002) Loss 1.5801 (1.6463) Prec@1 61.250 (55.806) Prec@5 86.875 (84.426) Epoch: [76][6950/11272] Time 0.735 (0.785) Data 0.002 (0.002) Loss 1.7604 (1.6462) Prec@1 52.500 (55.811) Prec@5 83.125 (84.426) Epoch: [76][6960/11272] Time 0.796 (0.785) Data 0.001 (0.002) Loss 1.6195 (1.6462) Prec@1 56.250 (55.809) Prec@5 84.375 (84.423) Epoch: [76][6970/11272] Time 0.834 (0.785) Data 0.001 (0.002) Loss 1.6839 (1.6462) Prec@1 50.625 (55.812) Prec@5 85.625 (84.424) Epoch: [76][6980/11272] Time 0.767 (0.785) Data 0.002 (0.002) Loss 1.7399 (1.6462) Prec@1 51.875 (55.810) Prec@5 82.500 (84.423) Epoch: [76][6990/11272] Time 0.794 (0.785) Data 0.003 (0.002) Loss 1.6659 (1.6463) Prec@1 53.125 (55.810) Prec@5 82.500 (84.423) Epoch: [76][7000/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.6017 (1.6464) Prec@1 55.000 (55.807) Prec@5 86.250 (84.420) Epoch: [76][7010/11272] Time 0.749 (0.785) Data 0.001 (0.002) Loss 1.4773 (1.6464) Prec@1 63.750 (55.807) Prec@5 85.000 (84.420) Epoch: [76][7020/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.8156 (1.6465) Prec@1 51.875 (55.805) Prec@5 79.375 (84.417) Epoch: [76][7030/11272] Time 0.832 (0.785) Data 0.001 (0.002) Loss 1.6626 (1.6464) Prec@1 56.875 (55.805) Prec@5 81.875 (84.418) Epoch: [76][7040/11272] Time 0.846 (0.785) Data 0.002 (0.002) Loss 1.7788 (1.6466) Prec@1 52.500 (55.801) Prec@5 80.625 (84.414) Epoch: [76][7050/11272] Time 0.750 (0.785) Data 0.002 (0.002) Loss 1.4934 (1.6466) Prec@1 60.000 (55.801) Prec@5 88.125 (84.413) Epoch: [76][7060/11272] Time 0.734 (0.785) Data 0.002 (0.002) Loss 1.7473 (1.6466) Prec@1 54.375 (55.802) Prec@5 78.750 (84.412) Epoch: [76][7070/11272] Time 0.831 (0.785) Data 0.002 (0.002) Loss 1.6725 (1.6465) Prec@1 55.625 (55.805) Prec@5 83.750 (84.412) Epoch: [76][7080/11272] Time 0.844 (0.785) Data 0.002 (0.002) Loss 1.6352 (1.6464) Prec@1 57.500 (55.807) Prec@5 88.125 (84.414) Epoch: [76][7090/11272] Time 0.727 (0.785) Data 0.002 (0.002) Loss 1.8726 (1.6464) Prec@1 53.750 (55.807) Prec@5 80.000 (84.412) Epoch: [76][7100/11272] Time 0.751 (0.785) Data 0.002 (0.002) Loss 1.4468 (1.6465) Prec@1 63.125 (55.805) Prec@5 85.000 (84.411) Epoch: [76][7110/11272] Time 0.819 (0.785) Data 0.002 (0.002) Loss 1.6854 (1.6466) Prec@1 52.500 (55.802) Prec@5 83.750 (84.410) Epoch: [76][7120/11272] Time 0.810 (0.785) Data 0.002 (0.002) Loss 1.5642 (1.6466) Prec@1 58.750 (55.802) Prec@5 88.750 (84.412) Epoch: [76][7130/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.5861 (1.6466) Prec@1 61.250 (55.802) Prec@5 85.000 (84.412) Epoch: [76][7140/11272] Time 0.814 (0.785) Data 0.002 (0.002) Loss 1.7677 (1.6465) Prec@1 53.125 (55.804) Prec@5 80.000 (84.413) Epoch: [76][7150/11272] Time 0.841 (0.785) Data 0.002 (0.002) Loss 1.8779 (1.6466) Prec@1 48.125 (55.802) Prec@5 83.750 (84.411) Epoch: [76][7160/11272] Time 0.682 (0.785) Data 0.001 (0.002) Loss 1.9189 (1.6467) Prec@1 50.625 (55.800) Prec@5 79.375 (84.411) Epoch: [76][7170/11272] Time 0.747 (0.785) Data 0.001 (0.002) Loss 1.6565 (1.6467) Prec@1 58.125 (55.801) Prec@5 83.125 (84.413) Epoch: [76][7180/11272] Time 0.808 (0.785) Data 0.001 (0.002) Loss 1.7112 (1.6468) Prec@1 56.250 (55.798) Prec@5 82.500 (84.412) Epoch: [76][7190/11272] Time 0.853 (0.785) Data 0.002 (0.002) Loss 1.7336 (1.6468) Prec@1 56.250 (55.796) Prec@5 86.250 (84.411) Epoch: [76][7200/11272] Time 0.744 (0.785) Data 0.002 (0.002) Loss 1.6236 (1.6469) Prec@1 53.750 (55.795) Prec@5 83.750 (84.410) Epoch: [76][7210/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 1.5829 (1.6469) Prec@1 58.750 (55.794) Prec@5 86.250 (84.409) Epoch: [76][7220/11272] Time 0.821 (0.785) Data 0.002 (0.002) Loss 1.5663 (1.6469) Prec@1 58.125 (55.793) Prec@5 88.125 (84.409) Epoch: [76][7230/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.3466 (1.6469) Prec@1 62.500 (55.795) Prec@5 90.625 (84.410) Epoch: [76][7240/11272] Time 0.700 (0.785) Data 0.001 (0.002) Loss 1.5650 (1.6469) Prec@1 52.500 (55.791) Prec@5 89.375 (84.410) Epoch: [76][7250/11272] Time 0.766 (0.785) Data 0.001 (0.002) Loss 1.4694 (1.6469) Prec@1 56.250 (55.793) Prec@5 89.375 (84.411) Epoch: [76][7260/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.6269 (1.6469) Prec@1 53.750 (55.793) Prec@5 85.625 (84.409) Epoch: [76][7270/11272] Time 0.712 (0.785) Data 0.003 (0.002) Loss 1.7078 (1.6468) Prec@1 52.500 (55.793) Prec@5 83.125 (84.410) Epoch: [76][7280/11272] Time 0.731 (0.785) Data 0.002 (0.002) Loss 1.6177 (1.6469) Prec@1 57.500 (55.792) Prec@5 85.625 (84.409) Epoch: [76][7290/11272] Time 0.862 (0.785) Data 0.002 (0.002) Loss 1.6757 (1.6468) Prec@1 50.625 (55.793) Prec@5 85.625 (84.409) Epoch: [76][7300/11272] Time 0.858 (0.785) Data 0.002 (0.002) Loss 1.6290 (1.6468) Prec@1 55.000 (55.794) Prec@5 82.500 (84.410) Epoch: [76][7310/11272] Time 0.724 (0.785) Data 0.002 (0.002) Loss 1.7987 (1.6468) Prec@1 53.125 (55.795) Prec@5 82.500 (84.410) Epoch: [76][7320/11272] Time 0.703 (0.785) Data 0.001 (0.002) Loss 1.5908 (1.6468) Prec@1 56.875 (55.795) Prec@5 84.375 (84.410) Epoch: [76][7330/11272] Time 0.862 (0.785) Data 0.002 (0.002) Loss 1.5611 (1.6468) Prec@1 60.625 (55.797) Prec@5 85.000 (84.408) Epoch: [76][7340/11272] Time 0.804 (0.785) Data 0.001 (0.002) Loss 1.5254 (1.6468) Prec@1 57.500 (55.796) Prec@5 89.375 (84.409) Epoch: [76][7350/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 1.7175 (1.6468) Prec@1 50.000 (55.795) Prec@5 84.375 (84.409) Epoch: [76][7360/11272] Time 0.708 (0.785) Data 0.001 (0.002) Loss 1.7021 (1.6469) Prec@1 52.500 (55.794) Prec@5 83.125 (84.408) Epoch: [76][7370/11272] Time 0.813 (0.785) Data 0.001 (0.002) Loss 1.6583 (1.6469) Prec@1 53.750 (55.794) Prec@5 84.375 (84.408) Epoch: [76][7380/11272] Time 0.809 (0.785) Data 0.002 (0.002) Loss 1.7405 (1.6468) Prec@1 50.625 (55.792) Prec@5 84.375 (84.408) Epoch: [76][7390/11272] Time 0.711 (0.785) Data 0.001 (0.002) Loss 1.7964 (1.6469) Prec@1 45.625 (55.792) Prec@5 80.625 (84.408) Epoch: [76][7400/11272] Time 0.764 (0.785) Data 0.001 (0.002) Loss 1.8846 (1.6469) Prec@1 55.000 (55.792) Prec@5 80.625 (84.407) Epoch: [76][7410/11272] Time 0.823 (0.785) Data 0.002 (0.002) Loss 1.5849 (1.6469) Prec@1 55.000 (55.789) Prec@5 87.500 (84.408) Epoch: [76][7420/11272] Time 0.761 (0.785) Data 0.002 (0.002) Loss 1.7792 (1.6469) Prec@1 58.125 (55.790) Prec@5 83.750 (84.408) Epoch: [76][7430/11272] Time 0.745 (0.785) Data 0.001 (0.002) Loss 1.7324 (1.6469) Prec@1 55.625 (55.789) Prec@5 80.625 (84.407) Epoch: [76][7440/11272] Time 0.797 (0.785) Data 0.001 (0.002) Loss 1.7388 (1.6470) Prec@1 53.750 (55.788) Prec@5 83.125 (84.405) Epoch: [76][7450/11272] Time 0.806 (0.784) Data 0.001 (0.002) Loss 1.6620 (1.6471) Prec@1 53.750 (55.786) Prec@5 85.000 (84.404) Epoch: [76][7460/11272] Time 0.773 (0.784) Data 0.002 (0.002) Loss 1.7278 (1.6471) Prec@1 53.125 (55.784) Prec@5 78.750 (84.402) Epoch: [76][7470/11272] Time 0.754 (0.784) Data 0.001 (0.002) Loss 1.6358 (1.6472) Prec@1 58.125 (55.784) Prec@5 85.625 (84.401) Epoch: [76][7480/11272] Time 0.832 (0.784) Data 0.002 (0.002) Loss 1.6703 (1.6472) Prec@1 58.125 (55.784) Prec@5 85.625 (84.401) Epoch: [76][7490/11272] Time 0.841 (0.784) Data 0.002 (0.002) Loss 1.5971 (1.6472) Prec@1 56.875 (55.786) Prec@5 86.250 (84.402) Epoch: [76][7500/11272] Time 0.761 (0.785) Data 0.002 (0.002) Loss 1.8472 (1.6472) Prec@1 51.875 (55.787) Prec@5 80.000 (84.400) Epoch: [76][7510/11272] Time 0.766 (0.785) Data 0.002 (0.002) Loss 1.6273 (1.6472) Prec@1 58.125 (55.786) Prec@5 85.625 (84.402) Epoch: [76][7520/11272] Time 0.830 (0.785) Data 0.002 (0.002) Loss 1.6209 (1.6472) Prec@1 52.500 (55.785) Prec@5 83.750 (84.401) Epoch: [76][7530/11272] Time 0.725 (0.785) Data 0.003 (0.002) Loss 1.8470 (1.6473) Prec@1 48.750 (55.784) Prec@5 80.000 (84.400) Epoch: [76][7540/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 1.8341 (1.6473) Prec@1 56.250 (55.783) Prec@5 81.250 (84.398) Epoch: [76][7550/11272] Time 0.835 (0.785) Data 0.002 (0.002) Loss 1.5175 (1.6473) Prec@1 61.250 (55.785) Prec@5 87.500 (84.398) Epoch: [76][7560/11272] Time 0.817 (0.785) Data 0.002 (0.002) Loss 1.4945 (1.6473) Prec@1 57.500 (55.785) Prec@5 86.250 (84.398) Epoch: [76][7570/11272] Time 0.717 (0.785) Data 0.001 (0.002) Loss 1.4271 (1.6473) Prec@1 61.875 (55.784) Prec@5 88.125 (84.397) Epoch: [76][7580/11272] Time 0.712 (0.785) Data 0.002 (0.002) Loss 1.6922 (1.6473) Prec@1 52.500 (55.785) Prec@5 83.125 (84.398) Epoch: [76][7590/11272] Time 0.853 (0.785) Data 0.002 (0.002) Loss 1.7681 (1.6473) Prec@1 51.250 (55.781) Prec@5 84.375 (84.398) Epoch: [76][7600/11272] Time 0.815 (0.785) Data 0.002 (0.002) Loss 1.9430 (1.6474) Prec@1 47.500 (55.777) Prec@5 81.875 (84.397) Epoch: [76][7610/11272] Time 0.731 (0.784) Data 0.001 (0.002) Loss 1.7512 (1.6474) Prec@1 52.500 (55.777) Prec@5 85.000 (84.399) Epoch: [76][7620/11272] Time 0.761 (0.784) Data 0.002 (0.002) Loss 1.9297 (1.6475) Prec@1 53.125 (55.775) Prec@5 78.750 (84.397) Epoch: [76][7630/11272] Time 0.811 (0.784) Data 0.002 (0.002) Loss 1.8865 (1.6476) Prec@1 51.250 (55.773) Prec@5 80.625 (84.396) Epoch: [76][7640/11272] Time 0.843 (0.784) Data 0.002 (0.002) Loss 1.7758 (1.6475) Prec@1 51.875 (55.773) Prec@5 82.500 (84.397) Epoch: [76][7650/11272] Time 0.733 (0.784) Data 0.002 (0.002) Loss 1.4966 (1.6475) Prec@1 56.875 (55.772) Prec@5 88.750 (84.397) Epoch: [76][7660/11272] Time 0.913 (0.784) Data 0.002 (0.002) Loss 1.6050 (1.6475) Prec@1 60.000 (55.773) Prec@5 85.625 (84.398) Epoch: [76][7670/11272] Time 0.825 (0.784) Data 0.001 (0.002) Loss 1.6231 (1.6475) Prec@1 57.500 (55.774) Prec@5 86.875 (84.398) Epoch: [76][7680/11272] Time 0.727 (0.784) Data 0.001 (0.002) Loss 1.8827 (1.6474) Prec@1 48.125 (55.776) Prec@5 80.000 (84.399) Epoch: [76][7690/11272] Time 0.743 (0.784) Data 0.001 (0.002) Loss 1.5198 (1.6474) Prec@1 59.375 (55.775) Prec@5 84.375 (84.399) Epoch: [76][7700/11272] Time 0.816 (0.784) Data 0.001 (0.002) Loss 1.5401 (1.6474) Prec@1 56.250 (55.776) Prec@5 90.000 (84.400) Epoch: [76][7710/11272] Time 0.846 (0.784) Data 0.002 (0.002) Loss 1.5735 (1.6475) Prec@1 58.750 (55.774) Prec@5 84.375 (84.398) Epoch: [76][7720/11272] Time 0.713 (0.784) Data 0.002 (0.002) Loss 1.6212 (1.6474) Prec@1 58.750 (55.776) Prec@5 85.000 (84.398) Epoch: [76][7730/11272] Time 0.685 (0.784) Data 0.001 (0.002) Loss 1.7593 (1.6474) Prec@1 50.625 (55.778) Prec@5 80.000 (84.397) Epoch: [76][7740/11272] Time 0.820 (0.784) Data 0.002 (0.002) Loss 1.6199 (1.6473) Prec@1 56.250 (55.780) Prec@5 85.625 (84.399) Epoch: [76][7750/11272] Time 0.823 (0.784) Data 0.002 (0.002) Loss 1.6771 (1.6473) Prec@1 53.750 (55.778) Prec@5 86.875 (84.398) Epoch: [76][7760/11272] Time 0.692 (0.784) Data 0.001 (0.002) Loss 1.4820 (1.6474) Prec@1 57.500 (55.777) Prec@5 87.500 (84.396) Epoch: [76][7770/11272] Time 0.774 (0.784) Data 0.002 (0.002) Loss 1.8674 (1.6474) Prec@1 51.250 (55.776) Prec@5 82.500 (84.396) Epoch: [76][7780/11272] Time 0.822 (0.784) Data 0.002 (0.002) Loss 1.6283 (1.6474) Prec@1 56.250 (55.776) Prec@5 84.375 (84.397) Epoch: [76][7790/11272] Time 0.878 (0.784) Data 0.002 (0.002) Loss 1.5746 (1.6474) Prec@1 59.375 (55.775) Prec@5 85.000 (84.396) Epoch: [76][7800/11272] Time 0.740 (0.784) Data 0.001 (0.002) Loss 1.8296 (1.6475) Prec@1 58.750 (55.776) Prec@5 81.250 (84.396) Epoch: [76][7810/11272] Time 0.847 (0.784) Data 0.002 (0.002) Loss 1.4488 (1.6475) Prec@1 59.375 (55.772) Prec@5 89.375 (84.395) Epoch: [76][7820/11272] Time 0.846 (0.784) Data 0.001 (0.002) Loss 1.5966 (1.6475) Prec@1 57.500 (55.772) Prec@5 83.125 (84.395) Epoch: [76][7830/11272] Time 0.722 (0.784) Data 0.001 (0.002) Loss 1.6666 (1.6476) Prec@1 55.625 (55.772) Prec@5 84.375 (84.393) Epoch: [76][7840/11272] Time 0.724 (0.784) Data 0.001 (0.002) Loss 1.7323 (1.6477) Prec@1 52.500 (55.770) Prec@5 81.875 (84.391) Epoch: [76][7850/11272] Time 0.861 (0.784) Data 0.001 (0.002) Loss 1.3344 (1.6477) Prec@1 65.000 (55.770) Prec@5 90.625 (84.390) Epoch: [76][7860/11272] Time 0.827 (0.784) Data 0.002 (0.002) Loss 1.7070 (1.6478) Prec@1 49.375 (55.767) Prec@5 84.375 (84.389) Epoch: [76][7870/11272] Time 0.710 (0.784) Data 0.001 (0.002) Loss 1.6556 (1.6478) Prec@1 52.500 (55.767) Prec@5 84.375 (84.391) Epoch: [76][7880/11272] Time 0.694 (0.784) Data 0.001 (0.002) Loss 1.7464 (1.6478) Prec@1 50.625 (55.766) Prec@5 85.625 (84.389) Epoch: [76][7890/11272] Time 0.820 (0.784) Data 0.002 (0.002) Loss 1.5668 (1.6479) Prec@1 58.750 (55.765) Prec@5 87.500 (84.388) Epoch: [76][7900/11272] Time 0.842 (0.784) Data 0.002 (0.002) Loss 1.5959 (1.6478) Prec@1 58.750 (55.766) Prec@5 84.375 (84.389) Epoch: [76][7910/11272] Time 0.712 (0.784) Data 0.002 (0.002) Loss 1.7456 (1.6478) Prec@1 51.250 (55.765) Prec@5 81.875 (84.389) Epoch: [76][7920/11272] Time 0.731 (0.784) Data 0.001 (0.002) Loss 1.6804 (1.6478) Prec@1 57.500 (55.765) Prec@5 83.750 (84.389) Epoch: [76][7930/11272] Time 0.809 (0.784) Data 0.002 (0.002) Loss 1.6155 (1.6478) Prec@1 60.000 (55.764) Prec@5 85.625 (84.390) Epoch: [76][7940/11272] Time 0.737 (0.784) Data 0.001 (0.002) Loss 1.5802 (1.6478) Prec@1 55.625 (55.764) Prec@5 84.375 (84.389) Epoch: [76][7950/11272] Time 0.732 (0.784) Data 0.001 (0.002) Loss 1.3607 (1.6478) Prec@1 60.625 (55.765) Prec@5 87.500 (84.390) Epoch: [76][7960/11272] Time 0.849 (0.784) Data 0.002 (0.002) Loss 1.7232 (1.6479) Prec@1 50.625 (55.761) Prec@5 85.625 (84.390) Epoch: [76][7970/11272] Time 0.809 (0.784) Data 0.001 (0.002) Loss 1.6472 (1.6478) Prec@1 55.625 (55.762) Prec@5 84.375 (84.391) Epoch: [76][7980/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.8362 (1.6478) Prec@1 50.000 (55.762) Prec@5 81.250 (84.390) Epoch: [76][7990/11272] Time 0.783 (0.784) Data 0.002 (0.002) Loss 1.5058 (1.6479) Prec@1 57.500 (55.760) Prec@5 88.750 (84.390) Epoch: [76][8000/11272] Time 0.834 (0.784) Data 0.002 (0.002) Loss 1.4730 (1.6478) Prec@1 59.375 (55.763) Prec@5 83.750 (84.392) Epoch: [76][8010/11272] Time 0.839 (0.784) Data 0.002 (0.002) Loss 1.5134 (1.6478) Prec@1 63.125 (55.765) Prec@5 86.250 (84.391) Epoch: [76][8020/11272] Time 0.767 (0.784) Data 0.002 (0.002) Loss 1.6891 (1.6478) Prec@1 48.750 (55.765) Prec@5 85.625 (84.391) Epoch: [76][8030/11272] Time 0.742 (0.784) Data 0.002 (0.002) Loss 1.7028 (1.6478) Prec@1 52.500 (55.765) Prec@5 84.375 (84.390) Epoch: [76][8040/11272] Time 0.845 (0.784) Data 0.002 (0.002) Loss 2.0668 (1.6478) Prec@1 47.500 (55.765) Prec@5 78.125 (84.390) Epoch: [76][8050/11272] Time 0.829 (0.784) Data 0.002 (0.002) Loss 1.7446 (1.6478) Prec@1 50.625 (55.763) Prec@5 83.125 (84.390) Epoch: [76][8060/11272] Time 0.744 (0.784) Data 0.002 (0.002) Loss 1.6615 (1.6478) Prec@1 57.500 (55.762) Prec@5 85.000 (84.390) Epoch: [76][8070/11272] Time 0.885 (0.784) Data 0.001 (0.002) Loss 1.6133 (1.6479) Prec@1 52.500 (55.760) Prec@5 83.125 (84.389) Epoch: [76][8080/11272] Time 0.808 (0.784) Data 0.001 (0.002) Loss 1.6338 (1.6479) Prec@1 56.250 (55.760) Prec@5 86.250 (84.389) Epoch: [76][8090/11272] Time 0.704 (0.784) Data 0.001 (0.002) Loss 1.8725 (1.6479) Prec@1 50.000 (55.759) Prec@5 80.000 (84.388) Epoch: [76][8100/11272] Time 0.758 (0.784) Data 0.002 (0.002) Loss 1.7451 (1.6479) Prec@1 51.250 (55.757) Prec@5 82.500 (84.387) Epoch: [76][8110/11272] Time 0.825 (0.784) Data 0.001 (0.002) Loss 1.4261 (1.6479) Prec@1 56.875 (55.758) Prec@5 87.500 (84.388) Epoch: [76][8120/11272] Time 0.832 (0.784) Data 0.002 (0.002) Loss 1.7442 (1.6479) Prec@1 53.750 (55.759) Prec@5 80.625 (84.387) Epoch: [76][8130/11272] Time 0.741 (0.784) Data 0.002 (0.002) Loss 1.5933 (1.6479) Prec@1 56.250 (55.756) Prec@5 85.000 (84.389) Epoch: [76][8140/11272] Time 0.713 (0.784) Data 0.001 (0.002) Loss 1.7850 (1.6480) Prec@1 55.000 (55.756) Prec@5 80.625 (84.388) Epoch: [76][8150/11272] Time 0.826 (0.784) Data 0.002 (0.002) Loss 1.4481 (1.6479) Prec@1 59.375 (55.757) Prec@5 87.500 (84.390) Epoch: [76][8160/11272] Time 0.841 (0.784) Data 0.002 (0.002) Loss 1.8534 (1.6480) Prec@1 52.500 (55.756) Prec@5 81.250 (84.388) Epoch: [76][8170/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.6245 (1.6479) Prec@1 58.125 (55.758) Prec@5 82.500 (84.390) Epoch: [76][8180/11272] Time 0.692 (0.784) Data 0.001 (0.002) Loss 1.5151 (1.6479) Prec@1 55.000 (55.756) Prec@5 88.750 (84.389) Epoch: [76][8190/11272] Time 0.854 (0.784) Data 0.001 (0.002) Loss 1.7551 (1.6479) Prec@1 55.625 (55.756) Prec@5 83.750 (84.389) Epoch: [76][8200/11272] Time 0.709 (0.784) Data 0.003 (0.002) Loss 1.5981 (1.6480) Prec@1 61.875 (55.756) Prec@5 83.750 (84.390) Epoch: [76][8210/11272] Time 0.742 (0.784) Data 0.002 (0.002) Loss 1.5559 (1.6480) Prec@1 53.750 (55.754) Prec@5 85.000 (84.390) Epoch: [76][8220/11272] Time 0.828 (0.784) Data 0.002 (0.002) Loss 1.7445 (1.6480) Prec@1 55.000 (55.754) Prec@5 83.125 (84.389) Epoch: [76][8230/11272] Time 0.784 (0.784) Data 0.001 (0.002) Loss 1.5930 (1.6480) Prec@1 57.500 (55.754) Prec@5 87.500 (84.389) Epoch: [76][8240/11272] Time 0.710 (0.784) Data 0.001 (0.002) Loss 1.6045 (1.6480) Prec@1 56.875 (55.755) Prec@5 83.125 (84.390) Epoch: [76][8250/11272] Time 0.756 (0.784) Data 0.002 (0.002) Loss 1.5707 (1.6479) Prec@1 61.250 (55.756) Prec@5 85.625 (84.390) Epoch: [76][8260/11272] Time 0.821 (0.784) Data 0.002 (0.002) Loss 1.4003 (1.6479) Prec@1 63.750 (55.758) Prec@5 87.500 (84.390) Epoch: [76][8270/11272] Time 0.819 (0.784) Data 0.001 (0.002) Loss 1.6322 (1.6479) Prec@1 52.500 (55.757) Prec@5 88.125 (84.390) Epoch: [76][8280/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.7622 (1.6480) Prec@1 49.375 (55.753) Prec@5 83.125 (84.389) Epoch: [76][8290/11272] Time 0.732 (0.784) Data 0.002 (0.002) Loss 1.7967 (1.6480) Prec@1 50.000 (55.752) Prec@5 79.375 (84.387) Epoch: [76][8300/11272] Time 0.828 (0.784) Data 0.002 (0.002) Loss 1.3247 (1.6480) Prec@1 61.875 (55.754) Prec@5 88.125 (84.386) Epoch: [76][8310/11272] Time 0.821 (0.784) Data 0.002 (0.002) Loss 1.7059 (1.6479) Prec@1 59.375 (55.756) Prec@5 84.375 (84.386) Epoch: [76][8320/11272] Time 0.735 (0.784) Data 0.002 (0.002) Loss 1.4549 (1.6479) Prec@1 64.375 (55.757) Prec@5 86.250 (84.386) Epoch: [76][8330/11272] Time 0.814 (0.784) Data 0.002 (0.002) Loss 1.8192 (1.6479) Prec@1 53.125 (55.757) Prec@5 80.625 (84.384) Epoch: [76][8340/11272] Time 0.835 (0.784) Data 0.002 (0.002) Loss 1.6172 (1.6480) Prec@1 61.250 (55.755) Prec@5 84.375 (84.384) Epoch: [76][8350/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.5518 (1.6480) Prec@1 59.375 (55.754) Prec@5 88.750 (84.383) Epoch: [76][8360/11272] Time 0.735 (0.784) Data 0.002 (0.002) Loss 1.6649 (1.6480) Prec@1 55.000 (55.754) Prec@5 85.625 (84.384) Epoch: [76][8370/11272] Time 0.827 (0.784) Data 0.001 (0.002) Loss 1.6066 (1.6480) Prec@1 57.500 (55.756) Prec@5 83.125 (84.383) Epoch: [76][8380/11272] Time 0.853 (0.784) Data 0.001 (0.002) Loss 1.6810 (1.6480) Prec@1 56.875 (55.755) Prec@5 85.000 (84.382) Epoch: [76][8390/11272] Time 0.698 (0.784) Data 0.001 (0.002) Loss 1.6984 (1.6481) Prec@1 53.125 (55.754) Prec@5 82.500 (84.381) Epoch: [76][8400/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.8104 (1.6481) Prec@1 45.000 (55.752) Prec@5 81.875 (84.381) Epoch: [76][8410/11272] Time 0.844 (0.784) Data 0.001 (0.002) Loss 1.9042 (1.6482) Prec@1 55.625 (55.750) Prec@5 80.625 (84.379) Epoch: [76][8420/11272] Time 0.828 (0.784) Data 0.002 (0.002) Loss 1.4816 (1.6481) Prec@1 60.625 (55.750) Prec@5 85.000 (84.380) Epoch: [76][8430/11272] Time 0.727 (0.784) Data 0.002 (0.002) Loss 1.4744 (1.6481) Prec@1 63.750 (55.751) Prec@5 86.250 (84.381) Epoch: [76][8440/11272] Time 0.713 (0.784) Data 0.002 (0.002) Loss 1.8055 (1.6481) Prec@1 55.000 (55.751) Prec@5 80.000 (84.381) Epoch: [76][8450/11272] Time 0.842 (0.784) Data 0.002 (0.002) Loss 1.6912 (1.6482) Prec@1 54.375 (55.750) Prec@5 85.000 (84.380) Epoch: [76][8460/11272] Time 0.724 (0.784) Data 0.003 (0.002) Loss 1.6629 (1.6482) Prec@1 52.500 (55.750) Prec@5 84.375 (84.381) Epoch: [76][8470/11272] Time 0.728 (0.784) Data 0.002 (0.002) Loss 1.7010 (1.6482) Prec@1 55.000 (55.751) Prec@5 83.750 (84.379) Epoch: [76][8480/11272] Time 0.853 (0.784) Data 0.001 (0.002) Loss 1.9225 (1.6482) Prec@1 51.875 (55.752) Prec@5 80.625 (84.379) Epoch: [76][8490/11272] Time 0.815 (0.784) Data 0.002 (0.002) Loss 1.5837 (1.6483) Prec@1 54.375 (55.751) Prec@5 83.750 (84.378) Epoch: [76][8500/11272] Time 0.726 (0.784) Data 0.002 (0.002) Loss 1.5527 (1.6483) Prec@1 55.625 (55.751) Prec@5 89.375 (84.379) Epoch: [76][8510/11272] Time 0.695 (0.784) Data 0.001 (0.002) Loss 1.7435 (1.6483) Prec@1 51.250 (55.749) Prec@5 84.375 (84.380) Epoch: [76][8520/11272] Time 0.833 (0.784) Data 0.002 (0.002) Loss 1.5826 (1.6483) Prec@1 56.250 (55.749) Prec@5 82.500 (84.380) Epoch: [76][8530/11272] Time 0.783 (0.784) Data 0.001 (0.002) Loss 1.6878 (1.6484) Prec@1 54.375 (55.745) Prec@5 81.875 (84.378) Epoch: [76][8540/11272] Time 0.736 (0.784) Data 0.002 (0.002) Loss 1.8385 (1.6484) Prec@1 48.750 (55.746) Prec@5 81.875 (84.380) Epoch: [76][8550/11272] Time 0.723 (0.784) Data 0.001 (0.002) Loss 1.5599 (1.6484) Prec@1 60.625 (55.745) Prec@5 83.750 (84.380) Epoch: [76][8560/11272] Time 0.810 (0.784) Data 0.001 (0.002) Loss 1.5833 (1.6484) Prec@1 55.000 (55.743) Prec@5 86.875 (84.381) Epoch: [76][8570/11272] Time 0.807 (0.784) Data 0.002 (0.002) Loss 1.4675 (1.6484) Prec@1 53.750 (55.739) Prec@5 90.000 (84.381) Epoch: [76][8580/11272] Time 0.700 (0.784) Data 0.001 (0.002) Loss 1.5844 (1.6484) Prec@1 56.250 (55.737) Prec@5 85.000 (84.381) Epoch: [76][8590/11272] Time 0.859 (0.784) Data 0.002 (0.002) Loss 1.8231 (1.6486) Prec@1 49.375 (55.731) Prec@5 82.500 (84.377) Epoch: [76][8600/11272] Time 0.877 (0.784) Data 0.002 (0.002) Loss 1.4464 (1.6486) Prec@1 60.625 (55.733) Prec@5 88.750 (84.378) Epoch: [76][8610/11272] Time 0.731 (0.784) Data 0.001 (0.002) Loss 1.7848 (1.6487) Prec@1 49.375 (55.732) Prec@5 83.125 (84.377) Epoch: [76][8620/11272] Time 0.736 (0.784) Data 0.001 (0.002) Loss 1.7045 (1.6487) Prec@1 56.250 (55.731) Prec@5 80.000 (84.376) Epoch: [76][8630/11272] Time 0.842 (0.784) Data 0.002 (0.002) Loss 1.9791 (1.6487) Prec@1 50.625 (55.731) Prec@5 76.250 (84.376) Epoch: [76][8640/11272] Time 0.847 (0.784) Data 0.002 (0.002) Loss 1.7272 (1.6487) Prec@1 55.625 (55.729) Prec@5 81.875 (84.377) Epoch: [76][8650/11272] Time 0.711 (0.784) Data 0.002 (0.002) Loss 1.6478 (1.6487) Prec@1 58.125 (55.731) Prec@5 83.125 (84.378) Epoch: [76][8660/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.6378 (1.6487) Prec@1 56.875 (55.729) Prec@5 86.250 (84.377) Epoch: [76][8670/11272] Time 0.842 (0.784) Data 0.001 (0.002) Loss 1.6823 (1.6486) Prec@1 52.500 (55.729) Prec@5 85.000 (84.377) Epoch: [76][8680/11272] Time 0.833 (0.784) Data 0.002 (0.002) Loss 1.8454 (1.6487) Prec@1 50.625 (55.726) Prec@5 83.125 (84.376) Epoch: [76][8690/11272] Time 0.754 (0.784) Data 0.002 (0.002) Loss 1.4001 (1.6488) Prec@1 63.125 (55.723) Prec@5 91.250 (84.374) Epoch: [76][8700/11272] Time 0.716 (0.784) Data 0.002 (0.002) Loss 1.6591 (1.6487) Prec@1 56.875 (55.725) Prec@5 83.750 (84.375) Epoch: [76][8710/11272] Time 0.826 (0.784) Data 0.002 (0.002) Loss 1.7084 (1.6487) Prec@1 52.500 (55.727) Prec@5 84.375 (84.376) Epoch: [76][8720/11272] Time 0.832 (0.784) Data 0.002 (0.002) Loss 1.4890 (1.6487) Prec@1 58.125 (55.726) Prec@5 86.875 (84.376) Epoch: [76][8730/11272] Time 0.735 (0.784) Data 0.002 (0.002) Loss 1.7763 (1.6487) Prec@1 54.375 (55.727) Prec@5 81.250 (84.376) Epoch: [76][8740/11272] Time 0.825 (0.784) Data 0.001 (0.002) Loss 1.6938 (1.6486) Prec@1 55.625 (55.727) Prec@5 83.750 (84.379) Epoch: [76][8750/11272] Time 0.855 (0.784) Data 0.002 (0.002) Loss 1.5450 (1.6486) Prec@1 58.750 (55.725) Prec@5 86.875 (84.379) Epoch: [76][8760/11272] Time 0.737 (0.784) Data 0.002 (0.002) Loss 1.6392 (1.6487) Prec@1 51.250 (55.722) Prec@5 87.500 (84.377) Epoch: [76][8770/11272] Time 0.753 (0.784) Data 0.002 (0.002) Loss 1.2512 (1.6487) Prec@1 65.625 (55.725) Prec@5 89.375 (84.377) Epoch: [76][8780/11272] Time 0.860 (0.784) Data 0.002 (0.002) Loss 1.6134 (1.6487) Prec@1 57.500 (55.723) Prec@5 83.125 (84.375) Epoch: [76][8790/11272] Time 0.816 (0.784) Data 0.002 (0.002) Loss 1.5614 (1.6487) Prec@1 60.000 (55.725) Prec@5 85.000 (84.376) Epoch: [76][8800/11272] Time 0.720 (0.784) Data 0.002 (0.002) Loss 1.8288 (1.6487) Prec@1 55.625 (55.726) Prec@5 78.125 (84.377) Epoch: [76][8810/11272] Time 0.727 (0.784) Data 0.002 (0.002) Loss 1.6686 (1.6487) Prec@1 56.875 (55.725) Prec@5 85.000 (84.377) Epoch: [76][8820/11272] Time 0.822 (0.784) Data 0.001 (0.002) Loss 1.5519 (1.6487) Prec@1 56.250 (55.725) Prec@5 87.500 (84.377) Epoch: [76][8830/11272] Time 0.857 (0.784) Data 0.002 (0.002) Loss 1.4127 (1.6487) Prec@1 60.625 (55.725) Prec@5 85.625 (84.375) Epoch: [76][8840/11272] Time 0.730 (0.784) Data 0.001 (0.002) Loss 1.6662 (1.6487) Prec@1 60.625 (55.725) Prec@5 86.250 (84.376) Epoch: [76][8850/11272] Time 0.743 (0.784) Data 0.002 (0.002) Loss 1.4652 (1.6486) Prec@1 62.500 (55.725) Prec@5 87.500 (84.376) Epoch: [76][8860/11272] Time 0.806 (0.784) Data 0.002 (0.002) Loss 1.5195 (1.6486) Prec@1 61.250 (55.727) Prec@5 85.625 (84.377) Epoch: [76][8870/11272] Time 0.719 (0.784) Data 0.001 (0.002) Loss 1.6804 (1.6486) Prec@1 55.000 (55.728) Prec@5 84.375 (84.376) Epoch: [76][8880/11272] Time 0.717 (0.784) Data 0.002 (0.002) Loss 1.5585 (1.6486) Prec@1 57.500 (55.728) Prec@5 85.625 (84.375) Epoch: [76][8890/11272] Time 0.845 (0.784) Data 0.002 (0.002) Loss 1.5077 (1.6486) Prec@1 57.500 (55.728) Prec@5 87.500 (84.377) Epoch: [76][8900/11272] Time 0.889 (0.784) Data 0.002 (0.002) Loss 1.8967 (1.6487) Prec@1 49.375 (55.724) Prec@5 81.875 (84.375) Epoch: [76][8910/11272] Time 0.752 (0.784) Data 0.002 (0.002) Loss 1.9579 (1.6488) Prec@1 48.750 (55.723) Prec@5 77.500 (84.374) Epoch: [76][8920/11272] Time 0.748 (0.784) Data 0.001 (0.002) Loss 1.6890 (1.6488) Prec@1 55.625 (55.721) Prec@5 81.875 (84.372) Epoch: [76][8930/11272] Time 0.820 (0.784) Data 0.002 (0.002) Loss 1.5460 (1.6488) Prec@1 54.375 (55.722) Prec@5 83.750 (84.371) Epoch: [76][8940/11272] Time 0.837 (0.784) Data 0.002 (0.002) Loss 1.7543 (1.6489) Prec@1 50.625 (55.720) Prec@5 81.875 (84.370) Epoch: [76][8950/11272] Time 0.742 (0.784) Data 0.002 (0.002) Loss 1.8869 (1.6489) Prec@1 56.250 (55.720) Prec@5 78.125 (84.370) Epoch: [76][8960/11272] Time 0.733 (0.784) Data 0.002 (0.002) Loss 1.8922 (1.6488) Prec@1 46.875 (55.720) Prec@5 80.625 (84.370) Epoch: [76][8970/11272] Time 0.831 (0.784) Data 0.002 (0.002) Loss 1.8556 (1.6489) Prec@1 52.500 (55.719) Prec@5 79.375 (84.369) Epoch: [76][8980/11272] Time 0.811 (0.784) Data 0.001 (0.002) Loss 1.7226 (1.6489) Prec@1 55.000 (55.720) Prec@5 79.375 (84.367) Epoch: [76][8990/11272] Time 0.740 (0.784) Data 0.001 (0.002) Loss 1.5889 (1.6491) Prec@1 59.375 (55.717) Prec@5 81.250 (84.365) Epoch: [76][9000/11272] Time 0.894 (0.784) Data 0.002 (0.002) Loss 1.4380 (1.6490) Prec@1 61.875 (55.719) Prec@5 88.125 (84.365) Epoch: [76][9010/11272] Time 0.819 (0.784) Data 0.002 (0.002) Loss 1.7342 (1.6489) Prec@1 56.250 (55.722) Prec@5 86.250 (84.367) Epoch: [76][9020/11272] Time 0.713 (0.784) Data 0.001 (0.002) Loss 1.3474 (1.6488) Prec@1 60.625 (55.724) Prec@5 90.625 (84.368) Epoch: [76][9030/11272] Time 0.765 (0.784) Data 0.002 (0.002) Loss 1.5421 (1.6489) Prec@1 59.375 (55.724) Prec@5 83.750 (84.367) Epoch: [76][9040/11272] Time 0.829 (0.784) Data 0.001 (0.002) Loss 1.7062 (1.6489) Prec@1 54.375 (55.722) Prec@5 83.750 (84.367) Epoch: [76][9050/11272] Time 0.826 (0.784) Data 0.001 (0.002) Loss 2.0938 (1.6490) Prec@1 44.375 (55.721) Prec@5 76.875 (84.365) Epoch: [76][9060/11272] Time 0.720 (0.784) Data 0.002 (0.002) Loss 1.7163 (1.6490) Prec@1 53.125 (55.721) Prec@5 86.250 (84.366) Epoch: [76][9070/11272] Time 0.715 (0.784) Data 0.002 (0.002) Loss 1.6500 (1.6489) Prec@1 54.375 (55.721) Prec@5 85.625 (84.367) Epoch: [76][9080/11272] Time 0.826 (0.784) Data 0.002 (0.002) Loss 1.6409 (1.6489) Prec@1 51.875 (55.721) Prec@5 83.750 (84.367) Epoch: [76][9090/11272] Time 0.780 (0.784) Data 0.001 (0.002) Loss 1.3430 (1.6489) Prec@1 59.375 (55.719) Prec@5 89.375 (84.368) Epoch: [76][9100/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.6694 (1.6489) Prec@1 59.375 (55.719) Prec@5 81.875 (84.369) Epoch: [76][9110/11272] Time 0.736 (0.784) Data 0.002 (0.002) Loss 1.6788 (1.6489) Prec@1 54.375 (55.719) Prec@5 83.125 (84.370) Epoch: [76][9120/11272] Time 0.837 (0.784) Data 0.002 (0.002) Loss 1.6844 (1.6489) Prec@1 56.875 (55.720) Prec@5 83.125 (84.370) Epoch: [76][9130/11272] Time 0.719 (0.784) Data 0.003 (0.002) Loss 1.7917 (1.6488) Prec@1 51.250 (55.719) Prec@5 83.125 (84.370) Epoch: [76][9140/11272] Time 0.729 (0.784) Data 0.002 (0.002) Loss 1.6746 (1.6489) Prec@1 51.875 (55.719) Prec@5 81.875 (84.368) Epoch: [76][9150/11272] Time 0.816 (0.784) Data 0.002 (0.002) Loss 1.5389 (1.6490) Prec@1 58.125 (55.715) Prec@5 85.000 (84.366) Epoch: [76][9160/11272] Time 0.830 (0.784) Data 0.002 (0.002) Loss 1.7201 (1.6490) Prec@1 55.625 (55.715) Prec@5 82.500 (84.366) Epoch: [76][9170/11272] Time 0.747 (0.784) Data 0.002 (0.002) Loss 1.6474 (1.6490) Prec@1 56.875 (55.714) Prec@5 85.625 (84.366) Epoch: [76][9180/11272] Time 0.734 (0.784) Data 0.001 (0.002) Loss 1.6554 (1.6491) Prec@1 53.125 (55.712) Prec@5 85.625 (84.365) Epoch: [76][9190/11272] Time 0.838 (0.784) Data 0.001 (0.002) Loss 1.8654 (1.6491) Prec@1 49.375 (55.713) Prec@5 78.125 (84.365) Epoch: [76][9200/11272] Time 0.829 (0.784) Data 0.001 (0.002) Loss 1.7463 (1.6491) Prec@1 53.125 (55.710) Prec@5 84.375 (84.363) Epoch: [76][9210/11272] Time 0.758 (0.784) Data 0.002 (0.002) Loss 1.6701 (1.6492) Prec@1 53.750 (55.710) Prec@5 83.750 (84.363) Epoch: [76][9220/11272] Time 0.726 (0.784) Data 0.001 (0.002) Loss 1.6701 (1.6492) Prec@1 56.250 (55.710) Prec@5 85.000 (84.363) Epoch: [76][9230/11272] Time 0.825 (0.784) Data 0.002 (0.002) Loss 1.7182 (1.6492) Prec@1 51.250 (55.709) Prec@5 87.500 (84.363) Epoch: [76][9240/11272] Time 0.816 (0.784) Data 0.002 (0.002) Loss 1.5169 (1.6493) Prec@1 58.750 (55.709) Prec@5 86.875 (84.361) Epoch: [76][9250/11272] Time 0.751 (0.784) Data 0.002 (0.002) Loss 1.5851 (1.6493) Prec@1 57.500 (55.707) Prec@5 84.375 (84.360) Epoch: [76][9260/11272] Time 0.912 (0.784) Data 0.002 (0.002) Loss 1.6255 (1.6493) Prec@1 55.625 (55.707) Prec@5 81.875 (84.360) Epoch: [76][9270/11272] Time 0.828 (0.784) Data 0.002 (0.002) Loss 1.7094 (1.6493) Prec@1 56.250 (55.709) Prec@5 85.000 (84.361) Epoch: [76][9280/11272] Time 0.720 (0.784) Data 0.001 (0.002) Loss 1.5451 (1.6494) Prec@1 60.625 (55.706) Prec@5 87.500 (84.359) Epoch: [76][9290/11272] Time 0.722 (0.784) Data 0.001 (0.002) Loss 1.6100 (1.6494) Prec@1 56.250 (55.706) Prec@5 86.250 (84.360) Epoch: [76][9300/11272] Time 0.845 (0.784) Data 0.002 (0.002) Loss 1.5972 (1.6493) Prec@1 55.625 (55.706) Prec@5 85.625 (84.361) Epoch: [76][9310/11272] Time 0.846 (0.784) Data 0.002 (0.002) Loss 1.6446 (1.6494) Prec@1 52.500 (55.705) Prec@5 85.625 (84.361) Epoch: [76][9320/11272] Time 0.719 (0.784) Data 0.002 (0.002) Loss 1.5204 (1.6494) Prec@1 58.125 (55.706) Prec@5 85.625 (84.360) Epoch: [76][9330/11272] Time 0.716 (0.784) Data 0.001 (0.002) Loss 1.6189 (1.6494) Prec@1 57.500 (55.706) Prec@5 86.875 (84.361) Epoch: [76][9340/11272] Time 0.838 (0.784) Data 0.001 (0.002) Loss 1.6484 (1.6494) Prec@1 55.000 (55.704) Prec@5 86.250 (84.361) Epoch: [76][9350/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.4948 (1.6494) Prec@1 58.750 (55.703) Prec@5 83.125 (84.361) Epoch: [76][9360/11272] Time 0.711 (0.784) Data 0.002 (0.002) Loss 1.4369 (1.6494) Prec@1 57.500 (55.705) Prec@5 89.375 (84.360) Epoch: [76][9370/11272] Time 0.738 (0.784) Data 0.002 (0.002) Loss 1.5381 (1.6494) Prec@1 60.000 (55.705) Prec@5 83.750 (84.363) Epoch: [76][9380/11272] Time 0.842 (0.784) Data 0.001 (0.002) Loss 1.5696 (1.6493) Prec@1 54.375 (55.706) Prec@5 86.875 (84.363) Epoch: [76][9390/11272] Time 0.714 (0.784) Data 0.003 (0.002) Loss 1.7691 (1.6493) Prec@1 52.500 (55.702) Prec@5 82.500 (84.363) Epoch: [76][9400/11272] Time 0.732 (0.784) Data 0.002 (0.002) Loss 1.7411 (1.6493) Prec@1 50.000 (55.703) Prec@5 80.625 (84.362) Epoch: [76][9410/11272] Time 0.827 (0.784) Data 0.002 (0.002) Loss 1.6375 (1.6493) Prec@1 56.875 (55.705) Prec@5 85.000 (84.362) Epoch: [76][9420/11272] Time 0.855 (0.784) Data 0.001 (0.002) Loss 1.6724 (1.6493) Prec@1 52.500 (55.704) Prec@5 84.375 (84.361) Epoch: [76][9430/11272] Time 0.755 (0.784) Data 0.001 (0.002) Loss 1.5886 (1.6494) Prec@1 57.500 (55.702) Prec@5 82.500 (84.359) Epoch: [76][9440/11272] Time 0.707 (0.784) Data 0.002 (0.002) Loss 1.5674 (1.6494) Prec@1 60.000 (55.701) Prec@5 84.375 (84.357) Epoch: [76][9450/11272] Time 0.824 (0.784) Data 0.002 (0.002) Loss 1.6797 (1.6495) Prec@1 53.125 (55.700) Prec@5 85.000 (84.356) Epoch: [76][9460/11272] Time 0.824 (0.784) Data 0.002 (0.002) Loss 1.7609 (1.6496) Prec@1 53.750 (55.699) Prec@5 81.250 (84.354) Epoch: [76][9470/11272] Time 0.733 (0.784) Data 0.002 (0.002) Loss 1.8643 (1.6496) Prec@1 47.500 (55.700) Prec@5 80.000 (84.353) Epoch: [76][9480/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.7579 (1.6496) Prec@1 52.500 (55.699) Prec@5 83.750 (84.352) Epoch: [76][9490/11272] Time 0.837 (0.784) Data 0.002 (0.002) Loss 1.8371 (1.6497) Prec@1 50.625 (55.698) Prec@5 81.875 (84.350) Epoch: [76][9500/11272] Time 0.824 (0.784) Data 0.002 (0.002) Loss 1.7543 (1.6498) Prec@1 50.000 (55.696) Prec@5 85.000 (84.350) Epoch: [76][9510/11272] Time 0.702 (0.784) Data 0.002 (0.002) Loss 1.6189 (1.6497) Prec@1 54.375 (55.697) Prec@5 86.250 (84.350) Epoch: [76][9520/11272] Time 0.894 (0.784) Data 0.002 (0.002) Loss 1.8041 (1.6497) Prec@1 53.750 (55.697) Prec@5 79.375 (84.350) Epoch: [76][9530/11272] Time 0.933 (0.784) Data 0.001 (0.002) Loss 1.8050 (1.6498) Prec@1 52.500 (55.697) Prec@5 79.375 (84.350) Epoch: [76][9540/11272] Time 0.742 (0.784) Data 0.001 (0.002) Loss 1.7209 (1.6498) Prec@1 56.875 (55.697) Prec@5 83.750 (84.350) Epoch: [76][9550/11272] Time 0.704 (0.784) Data 0.001 (0.002) Loss 1.3999 (1.6497) Prec@1 60.625 (55.700) Prec@5 85.000 (84.351) Epoch: [76][9560/11272] Time 0.856 (0.784) Data 0.002 (0.002) Loss 1.5486 (1.6497) Prec@1 57.500 (55.699) Prec@5 85.000 (84.351) Epoch: [76][9570/11272] Time 0.817 (0.784) Data 0.002 (0.002) Loss 1.6662 (1.6496) Prec@1 53.125 (55.702) Prec@5 82.500 (84.352) Epoch: [76][9580/11272] Time 0.724 (0.784) Data 0.002 (0.002) Loss 1.8387 (1.6496) Prec@1 50.625 (55.702) Prec@5 80.000 (84.351) Epoch: [76][9590/11272] Time 0.732 (0.784) Data 0.002 (0.002) Loss 1.6990 (1.6496) Prec@1 58.125 (55.701) Prec@5 83.125 (84.351) Epoch: [76][9600/11272] Time 0.844 (0.784) Data 0.002 (0.002) Loss 1.7746 (1.6496) Prec@1 50.000 (55.701) Prec@5 84.375 (84.351) Epoch: [76][9610/11272] Time 0.813 (0.784) Data 0.002 (0.002) Loss 1.5734 (1.6496) Prec@1 58.750 (55.699) Prec@5 84.375 (84.350) Epoch: [76][9620/11272] Time 0.755 (0.784) Data 0.002 (0.002) Loss 1.5543 (1.6497) Prec@1 61.875 (55.699) Prec@5 84.375 (84.350) Epoch: [76][9630/11272] Time 0.730 (0.784) Data 0.002 (0.002) Loss 1.6113 (1.6497) Prec@1 59.375 (55.699) Prec@5 84.375 (84.350) Epoch: [76][9640/11272] Time 0.828 (0.784) Data 0.002 (0.002) Loss 1.6242 (1.6498) Prec@1 52.500 (55.698) Prec@5 85.625 (84.348) Epoch: [76][9650/11272] Time 0.841 (0.784) Data 0.001 (0.002) Loss 1.8533 (1.6499) Prec@1 45.625 (55.694) Prec@5 79.375 (84.348) Epoch: [76][9660/11272] Time 0.736 (0.784) Data 0.002 (0.002) Loss 1.7180 (1.6499) Prec@1 50.625 (55.693) Prec@5 83.125 (84.347) Epoch: [76][9670/11272] Time 0.809 (0.784) Data 0.001 (0.002) Loss 1.5411 (1.6499) Prec@1 56.250 (55.693) Prec@5 86.250 (84.347) Epoch: [76][9680/11272] Time 0.837 (0.784) Data 0.002 (0.002) Loss 1.7172 (1.6500) Prec@1 53.125 (55.692) Prec@5 81.250 (84.345) Epoch: [76][9690/11272] Time 0.719 (0.784) Data 0.002 (0.002) Loss 1.5339 (1.6500) Prec@1 57.500 (55.692) Prec@5 85.000 (84.344) Epoch: [76][9700/11272] Time 0.713 (0.784) Data 0.001 (0.002) Loss 1.7425 (1.6500) Prec@1 52.500 (55.692) Prec@5 82.500 (84.344) Epoch: [76][9710/11272] Time 0.840 (0.784) Data 0.001 (0.002) Loss 1.7839 (1.6499) Prec@1 50.000 (55.693) Prec@5 85.000 (84.344) Epoch: [76][9720/11272] Time 0.836 (0.784) Data 0.001 (0.002) Loss 1.6222 (1.6499) Prec@1 56.875 (55.695) Prec@5 85.625 (84.346) Epoch: [76][9730/11272] Time 0.740 (0.784) Data 0.002 (0.002) Loss 1.5889 (1.6499) Prec@1 59.375 (55.694) Prec@5 86.875 (84.346) Epoch: [76][9740/11272] Time 0.712 (0.784) Data 0.002 (0.002) Loss 1.5887 (1.6499) Prec@1 56.875 (55.694) Prec@5 87.500 (84.346) Epoch: [76][9750/11272] Time 0.820 (0.784) Data 0.002 (0.002) Loss 1.5522 (1.6499) Prec@1 59.375 (55.694) Prec@5 86.250 (84.346) Epoch: [76][9760/11272] Time 0.933 (0.784) Data 0.002 (0.002) Loss 1.4999 (1.6499) Prec@1 61.875 (55.695) Prec@5 88.125 (84.345) Epoch: [76][9770/11272] Time 0.725 (0.784) Data 0.002 (0.002) Loss 1.5771 (1.6499) Prec@1 60.000 (55.697) Prec@5 86.250 (84.346) Epoch: [76][9780/11272] Time 0.776 (0.784) Data 0.002 (0.002) Loss 1.6042 (1.6499) Prec@1 54.375 (55.696) Prec@5 84.375 (84.346) Epoch: [76][9790/11272] Time 0.848 (0.784) Data 0.001 (0.002) Loss 1.4269 (1.6499) Prec@1 62.500 (55.696) Prec@5 85.000 (84.346) Epoch: [76][9800/11272] Time 0.736 (0.784) Data 0.001 (0.002) Loss 1.5040 (1.6499) Prec@1 61.875 (55.697) Prec@5 85.625 (84.345) Epoch: [76][9810/11272] Time 0.764 (0.784) Data 0.002 (0.002) Loss 1.7121 (1.6499) Prec@1 54.375 (55.696) Prec@5 81.875 (84.346) Epoch: [76][9820/11272] Time 0.899 (0.784) Data 0.001 (0.002) Loss 1.7039 (1.6499) Prec@1 56.250 (55.697) Prec@5 86.250 (84.346) Epoch: [76][9830/11272] Time 0.870 (0.784) Data 0.002 (0.002) Loss 1.4802 (1.6499) Prec@1 53.125 (55.696) Prec@5 85.000 (84.345) Epoch: [76][9840/11272] Time 0.752 (0.784) Data 0.001 (0.002) Loss 1.7467 (1.6500) Prec@1 55.625 (55.696) Prec@5 82.500 (84.345) Epoch: [76][9850/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.5590 (1.6500) Prec@1 59.375 (55.697) Prec@5 85.625 (84.345) Epoch: [76][9860/11272] Time 0.853 (0.784) Data 0.002 (0.002) Loss 1.6083 (1.6500) Prec@1 59.375 (55.697) Prec@5 84.375 (84.343) Epoch: [76][9870/11272] Time 0.863 (0.784) Data 0.002 (0.002) Loss 1.4981 (1.6499) Prec@1 59.375 (55.699) Prec@5 85.625 (84.343) Epoch: [76][9880/11272] Time 0.724 (0.784) Data 0.002 (0.002) Loss 1.6868 (1.6499) Prec@1 57.500 (55.698) Prec@5 82.500 (84.343) Epoch: [76][9890/11272] Time 0.718 (0.784) Data 0.002 (0.002) Loss 1.5944 (1.6499) Prec@1 56.250 (55.698) Prec@5 85.625 (84.343) Epoch: [76][9900/11272] Time 0.849 (0.784) Data 0.002 (0.002) Loss 1.5428 (1.6499) Prec@1 63.125 (55.701) Prec@5 85.000 (84.344) Epoch: [76][9910/11272] Time 0.827 (0.784) Data 0.002 (0.002) Loss 1.7626 (1.6499) Prec@1 51.250 (55.701) Prec@5 85.000 (84.344) Epoch: [76][9920/11272] Time 0.777 (0.784) Data 0.002 (0.002) Loss 1.6159 (1.6499) Prec@1 56.250 (55.700) Prec@5 81.250 (84.343) Epoch: [76][9930/11272] Time 0.896 (0.785) Data 0.003 (0.002) Loss 2.0299 (1.6499) Prec@1 44.375 (55.699) Prec@5 76.875 (84.343) Epoch: [76][9940/11272] Time 0.884 (0.785) Data 0.002 (0.002) Loss 1.5688 (1.6499) Prec@1 56.250 (55.698) Prec@5 88.125 (84.343) Epoch: [76][9950/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 1.4456 (1.6500) Prec@1 65.000 (55.696) Prec@5 89.375 (84.342) Epoch: [76][9960/11272] Time 0.769 (0.785) Data 0.002 (0.002) Loss 1.6174 (1.6500) Prec@1 53.750 (55.696) Prec@5 84.375 (84.341) Epoch: [76][9970/11272] Time 0.903 (0.785) Data 0.002 (0.002) Loss 1.5235 (1.6500) Prec@1 56.875 (55.696) Prec@5 86.875 (84.341) Epoch: [76][9980/11272] Time 0.932 (0.785) Data 0.002 (0.002) Loss 1.3670 (1.6500) Prec@1 66.250 (55.696) Prec@5 90.625 (84.342) Epoch: [76][9990/11272] Time 0.777 (0.785) Data 0.002 (0.002) Loss 1.8021 (1.6500) Prec@1 54.375 (55.694) Prec@5 83.750 (84.342) Epoch: [76][10000/11272] Time 0.771 (0.785) Data 0.002 (0.002) Loss 1.7530 (1.6500) Prec@1 55.000 (55.696) Prec@5 80.625 (84.341) Epoch: [76][10010/11272] Time 0.914 (0.785) Data 0.002 (0.002) Loss 1.5750 (1.6500) Prec@1 52.500 (55.695) Prec@5 86.250 (84.342) Epoch: [76][10020/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.5891 (1.6499) Prec@1 58.750 (55.696) Prec@5 83.750 (84.342) Epoch: [76][10030/11272] Time 0.741 (0.785) Data 0.002 (0.002) Loss 1.7168 (1.6500) Prec@1 50.625 (55.697) Prec@5 84.375 (84.343) Epoch: [76][10040/11272] Time 0.769 (0.785) Data 0.002 (0.002) Loss 1.5912 (1.6500) Prec@1 56.250 (55.696) Prec@5 83.125 (84.341) Epoch: [76][10050/11272] Time 0.838 (0.785) Data 0.002 (0.002) Loss 1.7921 (1.6501) Prec@1 49.375 (55.694) Prec@5 83.750 (84.340) Epoch: [76][10060/11272] Time 0.747 (0.785) Data 0.004 (0.002) Loss 1.6710 (1.6502) Prec@1 58.750 (55.693) Prec@5 80.000 (84.340) Epoch: [76][10070/11272] Time 0.778 (0.785) Data 0.002 (0.002) Loss 1.7237 (1.6502) Prec@1 55.625 (55.694) Prec@5 80.625 (84.339) Epoch: [76][10080/11272] Time 0.870 (0.785) Data 0.002 (0.002) Loss 1.3525 (1.6502) Prec@1 65.000 (55.693) Prec@5 89.375 (84.338) Epoch: [76][10090/11272] Time 0.899 (0.785) Data 0.002 (0.002) Loss 1.4878 (1.6502) Prec@1 56.250 (55.692) Prec@5 86.875 (84.338) Epoch: [76][10100/11272] Time 0.780 (0.785) Data 0.002 (0.002) Loss 1.7131 (1.6503) Prec@1 53.125 (55.689) Prec@5 85.000 (84.338) Epoch: [76][10110/11272] Time 0.716 (0.785) Data 0.002 (0.002) Loss 1.4601 (1.6503) Prec@1 57.500 (55.689) Prec@5 88.750 (84.338) Epoch: [76][10120/11272] Time 0.892 (0.785) Data 0.002 (0.002) Loss 1.6890 (1.6504) Prec@1 56.875 (55.688) Prec@5 81.875 (84.338) Epoch: [76][10130/11272] Time 0.857 (0.785) Data 0.002 (0.002) Loss 1.9124 (1.6504) Prec@1 52.500 (55.687) Prec@5 78.125 (84.336) Epoch: [76][10140/11272] Time 0.742 (0.785) Data 0.002 (0.002) Loss 1.9444 (1.6505) Prec@1 50.625 (55.687) Prec@5 81.250 (84.336) Epoch: [76][10150/11272] Time 0.747 (0.785) Data 0.002 (0.002) Loss 1.5087 (1.6505) Prec@1 55.000 (55.684) Prec@5 88.125 (84.336) Epoch: [76][10160/11272] Time 0.891 (0.785) Data 0.002 (0.002) Loss 1.5201 (1.6504) Prec@1 57.500 (55.685) Prec@5 86.250 (84.338) Epoch: [76][10170/11272] Time 0.863 (0.785) Data 0.002 (0.002) Loss 1.7068 (1.6505) Prec@1 58.750 (55.684) Prec@5 80.625 (84.335) Epoch: [76][10180/11272] Time 0.749 (0.785) Data 0.002 (0.002) Loss 1.4884 (1.6506) Prec@1 56.875 (55.682) Prec@5 90.000 (84.334) Epoch: [76][10190/11272] Time 0.871 (0.785) Data 0.002 (0.002) Loss 1.7241 (1.6506) Prec@1 55.625 (55.681) Prec@5 84.375 (84.334) Epoch: [76][10200/11272] Time 0.878 (0.785) Data 0.002 (0.002) Loss 1.6534 (1.6506) Prec@1 59.375 (55.683) Prec@5 82.500 (84.334) Epoch: [76][10210/11272] Time 0.766 (0.785) Data 0.001 (0.002) Loss 1.3480 (1.6505) Prec@1 61.250 (55.686) Prec@5 88.125 (84.335) Epoch: [76][10220/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.5476 (1.6504) Prec@1 60.625 (55.688) Prec@5 83.750 (84.335) Epoch: [76][10230/11272] Time 0.901 (0.786) Data 0.002 (0.002) Loss 1.6308 (1.6504) Prec@1 55.000 (55.686) Prec@5 84.375 (84.334) Epoch: [76][10240/11272] Time 0.878 (0.786) Data 0.002 (0.002) Loss 1.3978 (1.6504) Prec@1 62.500 (55.686) Prec@5 87.500 (84.334) Epoch: [76][10250/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 1.5645 (1.6504) Prec@1 58.750 (55.687) Prec@5 84.375 (84.334) Epoch: [76][10260/11272] Time 0.767 (0.786) Data 0.001 (0.002) Loss 1.6486 (1.6504) Prec@1 47.500 (55.686) Prec@5 87.500 (84.332) Epoch: [76][10270/11272] Time 0.868 (0.786) Data 0.002 (0.002) Loss 1.7217 (1.6504) Prec@1 51.250 (55.686) Prec@5 85.000 (84.331) Epoch: [76][10280/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.6221 (1.6504) Prec@1 50.625 (55.685) Prec@5 88.125 (84.332) Epoch: [76][10290/11272] Time 0.742 (0.786) Data 0.001 (0.002) Loss 1.8358 (1.6505) Prec@1 50.000 (55.683) Prec@5 86.250 (84.331) Epoch: [76][10300/11272] Time 0.729 (0.786) Data 0.002 (0.002) Loss 1.8001 (1.6505) Prec@1 49.375 (55.682) Prec@5 81.875 (84.331) Epoch: [76][10310/11272] Time 0.814 (0.786) Data 0.002 (0.002) Loss 1.8028 (1.6505) Prec@1 53.125 (55.684) Prec@5 83.125 (84.331) Epoch: [76][10320/11272] Time 0.687 (0.786) Data 0.003 (0.002) Loss 1.4624 (1.6505) Prec@1 65.000 (55.683) Prec@5 88.125 (84.330) Epoch: [76][10330/11272] Time 0.790 (0.786) Data 0.002 (0.002) Loss 1.5698 (1.6505) Prec@1 55.625 (55.683) Prec@5 87.500 (84.331) Epoch: [76][10340/11272] Time 0.847 (0.786) Data 0.002 (0.002) Loss 1.5511 (1.6505) Prec@1 55.625 (55.682) Prec@5 86.875 (84.333) Epoch: [76][10350/11272] Time 0.876 (0.786) Data 0.002 (0.002) Loss 1.8519 (1.6505) Prec@1 56.875 (55.684) Prec@5 79.375 (84.332) Epoch: [76][10360/11272] Time 0.728 (0.786) Data 0.002 (0.002) Loss 1.7701 (1.6506) Prec@1 56.875 (55.681) Prec@5 84.375 (84.330) Epoch: [76][10370/11272] Time 0.713 (0.786) Data 0.002 (0.002) Loss 1.9131 (1.6506) Prec@1 46.250 (55.680) Prec@5 80.625 (84.330) Epoch: [76][10380/11272] Time 0.842 (0.786) Data 0.002 (0.002) Loss 1.5619 (1.6506) Prec@1 58.125 (55.679) Prec@5 86.250 (84.330) Epoch: [76][10390/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.6998 (1.6506) Prec@1 48.125 (55.679) Prec@5 85.625 (84.329) Epoch: [76][10400/11272] Time 0.740 (0.786) Data 0.001 (0.002) Loss 1.5278 (1.6507) Prec@1 55.625 (55.675) Prec@5 85.625 (84.327) Epoch: [76][10410/11272] Time 0.738 (0.786) Data 0.002 (0.002) Loss 1.4569 (1.6507) Prec@1 60.000 (55.675) Prec@5 88.125 (84.327) Epoch: [76][10420/11272] Time 0.843 (0.786) Data 0.002 (0.002) Loss 1.6011 (1.6508) Prec@1 57.500 (55.674) Prec@5 85.000 (84.326) Epoch: [76][10430/11272] Time 0.873 (0.786) Data 0.004 (0.002) Loss 1.6569 (1.6508) Prec@1 53.125 (55.673) Prec@5 84.375 (84.325) Epoch: [76][10440/11272] Time 0.751 (0.786) Data 0.002 (0.002) Loss 1.7570 (1.6509) Prec@1 51.875 (55.671) Prec@5 81.250 (84.324) Epoch: [76][10450/11272] Time 0.870 (0.786) Data 0.002 (0.002) Loss 1.6118 (1.6509) Prec@1 56.250 (55.671) Prec@5 85.000 (84.324) Epoch: [76][10460/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.5629 (1.6508) Prec@1 58.750 (55.675) Prec@5 84.375 (84.325) Epoch: [76][10470/11272] Time 0.754 (0.786) Data 0.002 (0.002) Loss 1.7543 (1.6508) Prec@1 48.125 (55.674) Prec@5 84.375 (84.325) Epoch: [76][10480/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.8946 (1.6508) Prec@1 48.750 (55.673) Prec@5 80.000 (84.325) Epoch: [76][10490/11272] Time 0.814 (0.786) Data 0.001 (0.002) Loss 1.6891 (1.6508) Prec@1 48.750 (55.671) Prec@5 85.000 (84.323) Epoch: [76][10500/11272] Time 0.836 (0.786) Data 0.002 (0.002) Loss 1.6541 (1.6508) Prec@1 57.500 (55.672) Prec@5 83.750 (84.324) Epoch: [76][10510/11272] Time 0.739 (0.786) Data 0.002 (0.002) Loss 1.5951 (1.6508) Prec@1 53.125 (55.672) Prec@5 84.375 (84.323) Epoch: [76][10520/11272] Time 0.751 (0.786) Data 0.002 (0.002) Loss 1.5694 (1.6508) Prec@1 57.500 (55.673) Prec@5 86.250 (84.324) Epoch: [76][10530/11272] Time 0.894 (0.786) Data 0.002 (0.002) Loss 1.7436 (1.6508) Prec@1 51.875 (55.672) Prec@5 85.625 (84.323) Epoch: [76][10540/11272] Time 0.823 (0.786) Data 0.001 (0.002) Loss 1.4762 (1.6508) Prec@1 61.875 (55.671) Prec@5 88.125 (84.323) Epoch: [76][10550/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.7048 (1.6509) Prec@1 55.625 (55.668) Prec@5 81.250 (84.321) Epoch: [76][10560/11272] Time 0.731 (0.786) Data 0.002 (0.002) Loss 1.8441 (1.6510) Prec@1 53.750 (55.670) Prec@5 81.875 (84.320) Epoch: [76][10570/11272] Time 0.828 (0.786) Data 0.001 (0.002) Loss 1.5541 (1.6509) Prec@1 58.125 (55.671) Prec@5 85.000 (84.320) Epoch: [76][10580/11272] Time 0.839 (0.786) Data 0.001 (0.002) Loss 1.5149 (1.6509) Prec@1 57.500 (55.670) Prec@5 88.125 (84.320) Epoch: [76][10590/11272] Time 0.724 (0.786) Data 0.002 (0.002) Loss 1.7176 (1.6509) Prec@1 55.625 (55.671) Prec@5 81.875 (84.320) Epoch: [76][10600/11272] Time 0.812 (0.786) Data 0.002 (0.002) Loss 1.4503 (1.6509) Prec@1 60.625 (55.671) Prec@5 86.875 (84.320) Epoch: [76][10610/11272] Time 0.877 (0.786) Data 0.002 (0.002) Loss 1.5550 (1.6509) Prec@1 58.125 (55.672) Prec@5 85.000 (84.320) Epoch: [76][10620/11272] Time 0.732 (0.786) Data 0.002 (0.002) Loss 1.7827 (1.6509) Prec@1 47.500 (55.671) Prec@5 84.375 (84.320) Epoch: [76][10630/11272] Time 0.751 (0.786) Data 0.001 (0.002) Loss 1.8537 (1.6509) Prec@1 51.875 (55.672) Prec@5 83.750 (84.320) Epoch: [76][10640/11272] Time 0.838 (0.786) Data 0.001 (0.002) Loss 1.7687 (1.6510) Prec@1 55.000 (55.672) Prec@5 80.000 (84.319) Epoch: [76][10650/11272] Time 0.791 (0.786) Data 0.002 (0.002) Loss 1.5414 (1.6510) Prec@1 58.125 (55.672) Prec@5 84.375 (84.318) Epoch: [76][10660/11272] Time 0.793 (0.786) Data 0.003 (0.002) Loss 1.9431 (1.6510) Prec@1 53.125 (55.674) Prec@5 78.750 (84.318) Epoch: [76][10670/11272] Time 0.725 (0.786) Data 0.001 (0.002) Loss 1.7212 (1.6510) Prec@1 52.500 (55.674) Prec@5 83.750 (84.319) Epoch: [76][10680/11272] Time 0.865 (0.786) Data 0.001 (0.002) Loss 1.7543 (1.6510) Prec@1 55.000 (55.674) Prec@5 82.500 (84.319) Epoch: [76][10690/11272] Time 0.894 (0.786) Data 0.002 (0.002) Loss 1.7353 (1.6510) Prec@1 55.625 (55.674) Prec@5 81.250 (84.317) Epoch: [76][10700/11272] Time 0.726 (0.786) Data 0.002 (0.002) Loss 1.9169 (1.6511) Prec@1 53.750 (55.673) Prec@5 81.250 (84.316) Epoch: [76][10710/11272] Time 0.742 (0.786) Data 0.002 (0.002) Loss 1.4768 (1.6511) Prec@1 61.875 (55.672) Prec@5 88.125 (84.316) Epoch: [76][10720/11272] Time 0.837 (0.786) Data 0.002 (0.002) Loss 1.6936 (1.6512) Prec@1 55.000 (55.671) Prec@5 83.750 (84.315) Epoch: [76][10730/11272] Time 0.720 (0.786) Data 0.001 (0.002) Loss 1.7507 (1.6512) Prec@1 52.500 (55.669) Prec@5 84.375 (84.315) Epoch: [76][10740/11272] Time 0.750 (0.786) Data 0.001 (0.002) Loss 1.6292 (1.6512) Prec@1 56.250 (55.670) Prec@5 83.125 (84.315) Epoch: [76][10750/11272] Time 0.818 (0.786) Data 0.001 (0.002) Loss 1.7155 (1.6513) Prec@1 55.625 (55.667) Prec@5 84.375 (84.314) Epoch: [76][10760/11272] Time 0.884 (0.786) Data 0.002 (0.002) Loss 1.6971 (1.6514) Prec@1 51.250 (55.666) Prec@5 85.625 (84.314) Epoch: [76][10770/11272] Time 0.740 (0.786) Data 0.002 (0.002) Loss 1.7820 (1.6514) Prec@1 45.625 (55.664) Prec@5 80.625 (84.313) Epoch: [76][10780/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 1.5709 (1.6515) Prec@1 56.250 (55.663) Prec@5 84.375 (84.313) Epoch: [76][10790/11272] Time 0.810 (0.786) Data 0.001 (0.002) Loss 1.7852 (1.6515) Prec@1 52.500 (55.662) Prec@5 83.750 (84.313) Epoch: [76][10800/11272] Time 0.836 (0.786) Data 0.001 (0.002) Loss 1.7650 (1.6515) Prec@1 49.375 (55.661) Prec@5 81.250 (84.312) Epoch: [76][10810/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.5752 (1.6515) Prec@1 50.625 (55.661) Prec@5 86.875 (84.312) Epoch: [76][10820/11272] Time 0.723 (0.786) Data 0.001 (0.002) Loss 1.7201 (1.6515) Prec@1 55.000 (55.660) Prec@5 85.000 (84.312) Epoch: [76][10830/11272] Time 0.826 (0.786) Data 0.002 (0.002) Loss 1.5062 (1.6515) Prec@1 61.875 (55.661) Prec@5 85.000 (84.312) Epoch: [76][10840/11272] Time 0.811 (0.786) Data 0.002 (0.002) Loss 1.7274 (1.6516) Prec@1 51.875 (55.659) Prec@5 85.000 (84.312) Epoch: [76][10850/11272] Time 0.766 (0.786) Data 0.002 (0.002) Loss 1.8822 (1.6516) Prec@1 48.750 (55.658) Prec@5 84.375 (84.311) Epoch: [76][10860/11272] Time 0.858 (0.786) Data 0.001 (0.002) Loss 1.8021 (1.6515) Prec@1 53.125 (55.660) Prec@5 80.000 (84.313) Epoch: [76][10870/11272] Time 0.920 (0.786) Data 0.002 (0.002) Loss 1.7149 (1.6516) Prec@1 55.625 (55.660) Prec@5 83.750 (84.312) Epoch: [76][10880/11272] Time 0.785 (0.786) Data 0.004 (0.002) Loss 1.6971 (1.6517) Prec@1 54.375 (55.658) Prec@5 84.375 (84.311) Epoch: [76][10890/11272] Time 0.785 (0.786) Data 0.002 (0.002) Loss 1.6816 (1.6517) Prec@1 55.000 (55.658) Prec@5 78.750 (84.310) Epoch: [76][10900/11272] Time 0.937 (0.786) Data 0.005 (0.002) Loss 1.6169 (1.6517) Prec@1 54.375 (55.657) Prec@5 86.875 (84.310) Epoch: [76][10910/11272] Time 0.860 (0.786) Data 0.002 (0.002) Loss 1.3459 (1.6517) Prec@1 64.375 (55.659) Prec@5 89.375 (84.311) Epoch: [76][10920/11272] Time 0.733 (0.786) Data 0.002 (0.002) Loss 1.4794 (1.6517) Prec@1 60.000 (55.659) Prec@5 85.625 (84.311) Epoch: [76][10930/11272] Time 0.743 (0.786) Data 0.001 (0.002) Loss 1.7261 (1.6517) Prec@1 53.750 (55.660) Prec@5 82.500 (84.309) Epoch: [76][10940/11272] Time 0.825 (0.786) Data 0.001 (0.002) Loss 1.8532 (1.6517) Prec@1 45.625 (55.661) Prec@5 82.500 (84.309) Epoch: [76][10950/11272] Time 0.843 (0.786) Data 0.001 (0.002) Loss 1.7603 (1.6517) Prec@1 50.625 (55.661) Prec@5 88.125 (84.311) Epoch: [76][10960/11272] Time 0.750 (0.786) Data 0.002 (0.002) Loss 1.4688 (1.6516) Prec@1 58.750 (55.661) Prec@5 83.750 (84.312) Epoch: [76][10970/11272] Time 0.754 (0.786) Data 0.004 (0.002) Loss 1.6624 (1.6517) Prec@1 54.375 (55.661) Prec@5 84.375 (84.311) Epoch: [76][10980/11272] Time 0.873 (0.786) Data 0.003 (0.002) Loss 1.6817 (1.6517) Prec@1 55.625 (55.660) Prec@5 81.875 (84.311) Epoch: [76][10990/11272] Time 0.758 (0.786) Data 0.003 (0.002) Loss 1.5996 (1.6517) Prec@1 60.625 (55.660) Prec@5 83.125 (84.310) Epoch: [76][11000/11272] Time 0.758 (0.786) Data 0.001 (0.002) Loss 1.4723 (1.6517) Prec@1 58.750 (55.661) Prec@5 86.875 (84.310) Epoch: [76][11010/11272] Time 0.830 (0.786) Data 0.002 (0.002) Loss 1.5339 (1.6517) Prec@1 54.375 (55.659) Prec@5 86.875 (84.310) Epoch: [76][11020/11272] Time 0.875 (0.786) Data 0.002 (0.002) Loss 1.7039 (1.6517) Prec@1 53.750 (55.659) Prec@5 79.375 (84.310) Epoch: [76][11030/11272] Time 0.722 (0.786) Data 0.001 (0.002) Loss 1.8003 (1.6518) Prec@1 51.250 (55.658) Prec@5 80.000 (84.309) Epoch: [76][11040/11272] Time 0.735 (0.786) Data 0.002 (0.002) Loss 1.5739 (1.6518) Prec@1 60.000 (55.659) Prec@5 86.250 (84.310) Epoch: [76][11050/11272] Time 0.825 (0.786) Data 0.002 (0.002) Loss 1.8877 (1.6517) Prec@1 51.250 (55.659) Prec@5 79.375 (84.310) Epoch: [76][11060/11272] Time 0.844 (0.786) Data 0.002 (0.002) Loss 1.5753 (1.6518) Prec@1 56.250 (55.658) Prec@5 85.625 (84.309) Epoch: [76][11070/11272] Time 0.754 (0.786) Data 0.002 (0.002) Loss 1.4829 (1.6518) Prec@1 61.250 (55.657) Prec@5 87.500 (84.308) Epoch: [76][11080/11272] Time 0.747 (0.786) Data 0.002 (0.002) Loss 1.5896 (1.6518) Prec@1 56.875 (55.657) Prec@5 85.625 (84.308) Epoch: [76][11090/11272] Time 0.827 (0.786) Data 0.002 (0.002) Loss 1.6748 (1.6519) Prec@1 55.000 (55.658) Prec@5 83.125 (84.307) Epoch: [76][11100/11272] Time 0.823 (0.786) Data 0.002 (0.002) Loss 1.6571 (1.6518) Prec@1 54.375 (55.658) Prec@5 85.000 (84.309) Epoch: [76][11110/11272] Time 0.748 (0.786) Data 0.002 (0.002) Loss 1.8692 (1.6519) Prec@1 50.625 (55.658) Prec@5 81.875 (84.307) Epoch: [76][11120/11272] Time 0.852 (0.786) Data 0.001 (0.002) Loss 1.5320 (1.6519) Prec@1 54.375 (55.657) Prec@5 83.125 (84.308) Epoch: [76][11130/11272] Time 0.861 (0.786) Data 0.002 (0.002) Loss 1.7848 (1.6520) Prec@1 49.375 (55.656) Prec@5 83.125 (84.307) Epoch: [76][11140/11272] Time 0.737 (0.786) Data 0.001 (0.002) Loss 1.5395 (1.6520) Prec@1 57.500 (55.655) Prec@5 88.750 (84.308) Epoch: [76][11150/11272] Time 0.709 (0.786) Data 0.002 (0.002) Loss 1.6994 (1.6520) Prec@1 58.125 (55.656) Prec@5 80.000 (84.308) Epoch: [76][11160/11272] Time 0.821 (0.786) Data 0.002 (0.002) Loss 1.6361 (1.6520) Prec@1 55.625 (55.655) Prec@5 84.375 (84.307) Epoch: [76][11170/11272] Time 0.920 (0.786) Data 0.002 (0.002) Loss 1.6400 (1.6520) Prec@1 58.125 (55.654) Prec@5 83.750 (84.307) Epoch: [76][11180/11272] Time 0.716 (0.786) Data 0.002 (0.002) Loss 1.5461 (1.6520) Prec@1 60.000 (55.656) Prec@5 86.875 (84.308) Epoch: [76][11190/11272] Time 0.763 (0.786) Data 0.002 (0.002) Loss 1.6813 (1.6520) Prec@1 53.750 (55.655) Prec@5 83.750 (84.308) Epoch: [76][11200/11272] Time 0.838 (0.786) Data 0.002 (0.002) Loss 1.6476 (1.6520) Prec@1 55.625 (55.656) Prec@5 85.000 (84.308) Epoch: [76][11210/11272] Time 0.897 (0.786) Data 0.004 (0.002) Loss 1.6631 (1.6520) Prec@1 57.500 (55.656) Prec@5 85.625 (84.308) Epoch: [76][11220/11272] Time 0.710 (0.786) Data 0.001 (0.002) Loss 1.6666 (1.6520) Prec@1 48.750 (55.657) Prec@5 86.875 (84.307) Epoch: [76][11230/11272] Time 0.741 (0.786) Data 0.002 (0.002) Loss 1.7485 (1.6520) Prec@1 55.000 (55.657) Prec@5 82.500 (84.307) Epoch: [76][11240/11272] Time 0.866 (0.786) Data 0.002 (0.002) Loss 1.6782 (1.6520) Prec@1 58.125 (55.657) Prec@5 83.125 (84.307) Epoch: [76][11250/11272] Time 0.731 (0.786) Data 0.003 (0.002) Loss 1.9215 (1.6520) Prec@1 47.500 (55.656) Prec@5 80.625 (84.306) Epoch: [76][11260/11272] Time 0.720 (0.786) Data 0.002 (0.002) Loss 1.8843 (1.6521) Prec@1 53.125 (55.656) Prec@5 78.750 (84.306) Epoch: [76][11270/11272] Time 0.797 (0.786) Data 0.000 (0.002) Loss 1.6346 (1.6520) Prec@1 60.000 (55.657) Prec@5 85.000 (84.306) Test: [0/229] Time 3.275 (3.275) Loss 1.0766 (1.0766) Prec@1 65.625 (65.625) Prec@5 96.250 (96.250) Test: [10/229] Time 0.340 (0.777) Loss 0.9383 (1.5483) Prec@1 72.500 (58.409) Prec@5 97.500 (88.011) Test: [20/229] Time 1.089 (0.693) Loss 1.9707 (1.6422) Prec@1 49.375 (55.089) Prec@5 82.500 (87.143) Test: [30/229] Time 0.332 (0.640) Loss 2.0464 (1.5926) Prec@1 41.250 (57.177) Prec@5 81.875 (87.399) Test: [40/229] Time 1.329 (0.640) Loss 0.4155 (1.6007) Prec@1 90.625 (57.073) Prec@5 95.625 (87.149) Test: [50/229] Time 0.584 (0.621) Loss 2.3017 (1.6575) Prec@1 33.750 (55.613) Prec@5 78.750 (86.005) Test: [60/229] Time 0.643 (0.614) Loss 1.9882 (1.6483) Prec@1 43.125 (55.820) Prec@5 85.625 (86.096) Test: [70/229] Time 1.162 (0.612) Loss 1.3028 (1.6579) Prec@1 70.000 (55.634) Prec@5 84.375 (85.889) Test: [80/229] Time 0.362 (0.604) Loss 2.0777 (1.6725) Prec@1 38.750 (54.946) Prec@5 85.000 (85.849) Test: [90/229] Time 1.258 (0.607) Loss 1.3453 (1.6802) Prec@1 71.875 (54.808) Prec@5 86.250 (85.749) Test: [100/229] Time 0.295 (0.599) Loss 2.1399 (1.6739) Prec@1 46.250 (55.105) Prec@5 81.250 (85.804) Test: [110/229] Time 1.210 (0.600) Loss 1.3887 (1.6528) Prec@1 64.375 (55.529) Prec@5 88.125 (86.002) Test: [120/229] Time 0.335 (0.595) Loss 2.8107 (1.6747) Prec@1 34.375 (55.026) Prec@5 76.875 (85.749) Test: [130/229] Time 1.260 (0.599) Loss 1.0597 (1.6545) Prec@1 70.625 (55.544) Prec@5 91.875 (85.935) Test: [140/229] Time 0.402 (0.594) Loss 1.8692 (1.6690) Prec@1 51.875 (55.146) Prec@5 81.875 (85.780) Test: [150/229] Time 1.062 (0.595) Loss 1.0038 (1.6792) Prec@1 75.625 (54.826) Prec@5 91.250 (85.687) Test: [160/229] Time 0.424 (0.591) Loss 1.7627 (1.6826) Prec@1 61.250 (54.744) Prec@5 82.500 (85.613) Test: [170/229] Time 1.166 (0.593) Loss 1.7914 (1.6935) Prec@1 49.375 (54.426) Prec@5 86.875 (85.479) Test: [180/229] Time 0.309 (0.590) Loss 2.4042 (1.7013) Prec@1 35.625 (54.392) Prec@5 75.000 (85.280) Test: [190/229] Time 1.077 (0.590) Loss 1.2812 (1.6886) Prec@1 63.750 (54.738) Prec@5 94.375 (85.422) Test: [200/229] Time 0.366 (0.589) Loss 1.6932 (1.6817) Prec@1 51.875 (54.739) Prec@5 84.375 (85.566) Test: [210/229] Time 0.745 (0.589) Loss 1.0192 (1.6703) Prec@1 71.875 (55.039) Prec@5 95.000 (85.693) Test: [220/229] Time 0.317 (0.589) Loss 1.4808 (1.6626) Prec@1 56.875 (55.291) Prec@5 89.375 (85.715) * Prec@1 55.614 Prec@5 85.757 Epoch: [77][0/11272] Time 4.551 (4.551) Data 3.669 (3.669) Loss 1.6185 (1.6185) Prec@1 56.250 (56.250) Prec@5 84.375 (84.375) Epoch: [77][10/11272] Time 0.849 (1.142) Data 0.002 (0.335) Loss 1.3714 (1.5774) Prec@1 61.875 (58.580) Prec@5 88.750 (84.943) Epoch: [77][20/11272] Time 0.834 (0.976) Data 0.001 (0.176) Loss 1.7841 (1.5911) Prec@1 53.750 (57.470) Prec@5 78.750 (84.821) Epoch: [77][30/11272] Time 0.757 (0.925) Data 0.001 (0.120) Loss 1.8636 (1.5989) Prec@1 54.375 (57.540) Prec@5 80.000 (84.677) Epoch: [77][40/11272] Time 0.751 (0.891) Data 0.002 (0.091) Loss 1.6300 (1.6099) Prec@1 55.625 (57.210) Prec@5 85.000 (84.588) Epoch: [77][50/11272] Time 0.835 (0.876) Data 0.002 (0.074) Loss 1.7756 (1.6157) Prec@1 57.500 (57.034) Prec@5 80.000 (84.559) Epoch: [77][60/11272] Time 0.849 (0.865) Data 0.002 (0.062) Loss 1.6014 (1.6111) Prec@1 56.250 (56.875) Prec@5 85.625 (84.754) Epoch: [77][70/11272] Time 0.718 (0.855) Data 0.002 (0.053) Loss 1.5567 (1.6167) Prec@1 60.000 (56.840) Prec@5 85.000 (84.745) Epoch: [77][80/11272] Time 0.870 (0.846) Data 0.002 (0.047) Loss 1.8477 (1.6069) Prec@1 49.375 (56.998) Prec@5 80.000 (84.985) Epoch: [77][90/11272] Time 0.858 (0.840) Data 0.002 (0.042) Loss 1.5517 (1.6120) Prec@1 55.000 (56.820) Prec@5 83.125 (84.883) Epoch: [77][100/11272] Time 0.739 (0.834) Data 0.003 (0.038) Loss 1.5744 (1.6126) Prec@1 57.500 (56.733) Prec@5 86.250 (84.895) Epoch: [77][110/11272] Time 0.742 (0.831) Data 0.002 (0.035) Loss 1.6221 (1.6096) Prec@1 56.250 (56.717) Prec@5 83.125 (84.848) Epoch: [77][120/11272] Time 0.853 (0.830) Data 0.002 (0.032) Loss 1.6764 (1.6166) Prec@1 56.875 (56.539) Prec@5 85.000 (84.711) Epoch: [77][130/11272] Time 0.873 (0.827) Data 0.002 (0.030) Loss 1.5345 (1.6131) Prec@1 57.500 (56.527) Prec@5 84.375 (84.790) Epoch: [77][140/11272] Time 0.709 (0.826) Data 0.001 (0.028) Loss 1.6016 (1.6123) Prec@1 56.250 (56.574) Prec@5 84.375 (84.778) Epoch: [77][150/11272] Time 0.740 (0.825) Data 0.002 (0.026) Loss 1.5232 (1.6136) Prec@1 61.250 (56.478) Prec@5 84.375 (84.723) Epoch: [77][160/11272] Time 0.877 (0.825) Data 0.002 (0.024) Loss 1.6708 (1.6154) Prec@1 51.250 (56.386) Prec@5 84.375 (84.705) Epoch: [77][170/11272] Time 0.872 (0.824) Data 0.002 (0.023) Loss 1.5443 (1.6180) Prec@1 57.500 (56.261) Prec@5 87.500 (84.730) Epoch: [77][180/11272] Time 0.719 (0.821) Data 0.002 (0.022) Loss 1.7385 (1.6211) Prec@1 50.625 (56.195) Prec@5 86.250 (84.693) Epoch: [77][190/11272] Time 0.746 (0.820) Data 0.002 (0.021) Loss 1.6842 (1.6201) Prec@1 57.500 (56.296) Prec@5 81.250 (84.670) Epoch: [77][200/11272] Time 0.817 (0.819) Data 0.001 (0.020) Loss 1.7220 (1.6223) Prec@1 54.375 (56.222) Prec@5 81.250 (84.611) Epoch: [77][210/11272] Time 0.735 (0.818) Data 0.001 (0.019) Loss 1.5236 (1.6243) Prec@1 53.750 (56.194) Prec@5 86.875 (84.570) Epoch: [77][220/11272] Time 0.792 (0.817) Data 0.002 (0.018) Loss 1.6463 (1.6212) Prec@1 60.625 (56.270) Prec@5 84.375 (84.646) Epoch: [77][230/11272] Time 0.845 (0.817) Data 0.001 (0.018) Loss 1.7571 (1.6214) Prec@1 53.750 (56.242) Prec@5 85.000 (84.635) Epoch: [77][240/11272] Time 0.804 (0.816) Data 0.002 (0.017) Loss 1.5343 (1.6185) Prec@1 58.750 (56.328) Prec@5 86.250 (84.697) Epoch: [77][250/11272] Time 0.760 (0.814) Data 0.002 (0.016) Loss 1.5448 (1.6194) Prec@1 56.250 (56.370) Prec@5 90.625 (84.694) Epoch: [77][260/11272] Time 0.728 (0.814) Data 0.002 (0.016) Loss 1.4679 (1.6193) Prec@1 61.875 (56.365) Prec@5 83.750 (84.703) Epoch: [77][270/11272] Time 0.878 (0.813) Data 0.002 (0.015) Loss 1.6533 (1.6196) Prec@1 57.500 (56.379) Prec@5 81.250 (84.691) Epoch: [77][280/11272] Time 0.812 (0.812) Data 0.002 (0.015) Loss 1.7227 (1.6187) Prec@1 53.750 (56.406) Prec@5 84.375 (84.684) Epoch: [77][290/11272] Time 0.723 (0.811) Data 0.002 (0.014) Loss 1.5333 (1.6190) Prec@1 58.750 (56.398) Prec@5 84.375 (84.691) Epoch: [77][300/11272] Time 0.728 (0.810) Data 0.002 (0.014) Loss 1.8590 (1.6169) Prec@1 53.750 (56.447) Prec@5 81.875 (84.743) Epoch: [77][310/11272] Time 0.887 (0.811) Data 0.002 (0.013) Loss 1.5913 (1.6163) Prec@1 56.875 (56.457) Prec@5 85.625 (84.741) Epoch: [77][320/11272] Time 0.813 (0.810) Data 0.002 (0.013) Loss 1.4636 (1.6172) Prec@1 59.375 (56.456) Prec@5 86.250 (84.747) Epoch: [77][330/11272] Time 0.758 (0.810) Data 0.001 (0.013) Loss 1.7008 (1.6181) Prec@1 53.125 (56.450) Prec@5 83.125 (84.755) Epoch: [77][340/11272] Time 0.819 (0.810) Data 0.001 (0.012) Loss 1.6985 (1.6198) Prec@1 53.125 (56.373) Prec@5 85.000 (84.749) Epoch: [77][350/11272] Time 0.829 (0.809) Data 0.002 (0.012) Loss 1.5327 (1.6196) Prec@1 61.875 (56.410) Prec@5 86.875 (84.752) Epoch: [77][360/11272] Time 0.718 (0.808) Data 0.001 (0.012) Loss 1.7254 (1.6201) Prec@1 52.500 (56.420) Prec@5 85.625 (84.749) Epoch: [77][370/11272] Time 0.742 (0.808) Data 0.002 (0.012) Loss 1.6508 (1.6188) Prec@1 54.375 (56.461) Prec@5 81.250 (84.764) Epoch: [77][380/11272] Time 0.847 (0.807) Data 0.002 (0.011) Loss 1.6623 (1.6175) Prec@1 50.000 (56.485) Prec@5 85.000 (84.788) Epoch: [77][390/11272] Time 0.869 (0.807) Data 0.002 (0.011) Loss 1.7176 (1.6179) Prec@1 50.000 (56.491) Prec@5 84.375 (84.795) Epoch: [77][400/11272] Time 0.714 (0.807) Data 0.001 (0.011) Loss 1.5483 (1.6182) Prec@1 57.500 (56.490) Prec@5 85.000 (84.785) Epoch: [77][410/11272] Time 0.744 (0.807) Data 0.002 (0.011) Loss 1.6318 (1.6181) Prec@1 58.750 (56.522) Prec@5 83.125 (84.763) Epoch: [77][420/11272] Time 0.813 (0.806) Data 0.002 (0.010) Loss 1.7599 (1.6184) Prec@1 58.125 (56.529) Prec@5 83.750 (84.782) Epoch: [77][430/11272] Time 0.833 (0.806) Data 0.002 (0.010) Loss 1.6819 (1.6179) Prec@1 60.000 (56.575) Prec@5 83.750 (84.793) Epoch: [77][440/11272] Time 0.739 (0.806) Data 0.002 (0.010) Loss 1.5339 (1.6168) Prec@1 56.875 (56.592) Prec@5 82.500 (84.796) Epoch: [77][450/11272] Time 0.778 (0.806) Data 0.002 (0.010) Loss 1.6208 (1.6174) Prec@1 58.125 (56.553) Prec@5 86.250 (84.795) Epoch: [77][460/11272] Time 0.841 (0.805) Data 0.002 (0.010) Loss 1.5859 (1.6180) Prec@1 55.000 (56.517) Prec@5 85.625 (84.794) Epoch: [77][470/11272] Time 0.717 (0.805) Data 0.003 (0.009) Loss 1.6909 (1.6193) Prec@1 51.875 (56.482) Prec@5 86.250 (84.793) Epoch: [77][480/11272] Time 0.738 (0.805) Data 0.002 (0.009) Loss 1.6652 (1.6195) Prec@1 56.875 (56.467) Prec@5 83.125 (84.791) Epoch: [77][490/11272] Time 0.919 (0.805) Data 0.002 (0.009) Loss 1.3923 (1.6193) Prec@1 64.375 (56.487) Prec@5 85.000 (84.785) Epoch: [77][500/11272] Time 0.891 (0.805) Data 0.002 (0.009) Loss 1.5737 (1.6176) Prec@1 58.750 (56.513) Prec@5 88.125 (84.834) Epoch: [77][510/11272] Time 0.782 (0.805) Data 0.002 (0.009) Loss 1.4915 (1.6176) Prec@1 58.125 (56.507) Prec@5 86.875 (84.840) Epoch: [77][520/11272] Time 0.772 (0.805) Data 0.002 (0.009) Loss 1.7552 (1.6167) Prec@1 51.250 (56.532) Prec@5 83.750 (84.876) Epoch: [77][530/11272] Time 0.886 (0.805) Data 0.002 (0.009) Loss 1.5207 (1.6153) Prec@1 60.000 (56.540) Prec@5 88.125 (84.900) Epoch: [77][540/11272] Time 0.829 (0.805) Data 0.002 (0.008) Loss 1.6875 (1.6161) Prec@1 57.500 (56.556) Prec@5 83.750 (84.883) Epoch: [77][550/11272] Time 0.749 (0.805) Data 0.002 (0.008) Loss 1.5968 (1.6168) Prec@1 58.750 (56.563) Prec@5 84.375 (84.871) Epoch: [77][560/11272] Time 0.755 (0.805) Data 0.002 (0.008) Loss 1.7360 (1.6181) Prec@1 57.500 (56.541) Prec@5 83.750 (84.862) Epoch: [77][570/11272] Time 0.874 (0.805) Data 0.002 (0.008) Loss 1.6554 (1.6195) Prec@1 55.000 (56.502) Prec@5 82.500 (84.829) Epoch: [77][580/11272] Time 0.838 (0.805) Data 0.002 (0.008) Loss 1.5215 (1.6195) Prec@1 56.875 (56.489) Prec@5 84.375 (84.834) Epoch: [77][590/11272] Time 0.770 (0.805) Data 0.002 (0.008) Loss 1.6966 (1.6203) Prec@1 55.000 (56.477) Prec@5 84.375 (84.828) Epoch: [77][600/11272] Time 0.805 (0.805) Data 0.001 (0.008) Loss 1.7523 (1.6204) Prec@1 54.375 (56.473) Prec@5 83.125 (84.832) Epoch: [77][610/11272] Time 0.845 (0.805) Data 0.001 (0.008) Loss 1.7796 (1.6206) Prec@1 53.750 (56.473) Prec@5 81.875 (84.845) Epoch: [77][620/11272] Time 0.739 (0.805) Data 0.001 (0.008) Loss 1.7916 (1.6200) Prec@1 50.625 (56.475) Prec@5 83.750 (84.861) Epoch: [77][630/11272] Time 0.698 (0.805) Data 0.001 (0.007) Loss 1.4658 (1.6198) Prec@1 58.125 (56.492) Prec@5 88.750 (84.857) Epoch: [77][640/11272] Time 0.879 (0.805) Data 0.003 (0.007) Loss 1.8075 (1.6211) Prec@1 50.625 (56.473) Prec@5 78.125 (84.839) Epoch: [77][650/11272] Time 0.811 (0.804) Data 0.002 (0.007) Loss 1.6716 (1.6218) Prec@1 57.500 (56.446) Prec@5 81.875 (84.827) Epoch: [77][660/11272] Time 0.747 (0.804) Data 0.002 (0.007) Loss 1.6135 (1.6221) Prec@1 54.375 (56.447) Prec@5 85.625 (84.835) Epoch: [77][670/11272] Time 0.733 (0.803) Data 0.001 (0.007) Loss 1.5534 (1.6221) Prec@1 59.375 (56.454) Prec@5 83.750 (84.837) Epoch: [77][680/11272] Time 0.853 (0.804) Data 0.002 (0.007) Loss 1.8116 (1.6219) Prec@1 50.625 (56.447) Prec@5 80.000 (84.844) Epoch: [77][690/11272] Time 0.861 (0.804) Data 0.002 (0.007) Loss 1.7206 (1.6225) Prec@1 59.375 (56.438) Prec@5 81.250 (84.825) Epoch: [77][700/11272] Time 0.697 (0.804) Data 0.001 (0.007) Loss 1.4833 (1.6222) Prec@1 58.750 (56.456) Prec@5 86.875 (84.820) Epoch: [77][710/11272] Time 0.746 (0.804) Data 0.002 (0.007) Loss 1.5561 (1.6221) Prec@1 57.500 (56.457) Prec@5 87.500 (84.824) Epoch: [77][720/11272] Time 0.845 (0.804) Data 0.002 (0.007) Loss 1.6215 (1.6229) Prec@1 50.000 (56.430) Prec@5 86.875 (84.822) Epoch: [77][730/11272] Time 0.690 (0.804) Data 0.003 (0.007) Loss 1.7301 (1.6234) Prec@1 52.500 (56.416) Prec@5 83.125 (84.818) Epoch: [77][740/11272] Time 0.738 (0.803) Data 0.002 (0.007) Loss 1.5157 (1.6233) Prec@1 55.625 (56.409) Prec@5 88.750 (84.821) Epoch: [77][750/11272] Time 0.813 (0.803) Data 0.001 (0.007) Loss 1.5952 (1.6236) Prec@1 56.875 (56.411) Prec@5 86.875 (84.825) Epoch: [77][760/11272] Time 0.837 (0.803) Data 0.002 (0.006) Loss 1.7246 (1.6238) Prec@1 51.250 (56.399) Prec@5 81.250 (84.823) Epoch: [77][770/11272] Time 0.713 (0.803) Data 0.002 (0.006) Loss 1.7870 (1.6241) Prec@1 55.625 (56.406) Prec@5 80.625 (84.800) Epoch: [77][780/11272] Time 0.716 (0.803) Data 0.002 (0.006) Loss 1.4841 (1.6232) Prec@1 58.125 (56.425) Prec@5 88.125 (84.816) Epoch: [77][790/11272] Time 0.842 (0.803) Data 0.002 (0.006) Loss 1.5782 (1.6232) Prec@1 56.250 (56.408) Prec@5 85.000 (84.816) Epoch: [77][800/11272] Time 0.848 (0.802) Data 0.001 (0.006) Loss 1.6478 (1.6231) Prec@1 56.250 (56.404) Prec@5 82.500 (84.820) Epoch: [77][810/11272] Time 0.747 (0.803) Data 0.002 (0.006) Loss 1.5142 (1.6228) Prec@1 58.750 (56.412) Prec@5 86.250 (84.809) Epoch: [77][820/11272] Time 0.748 (0.803) Data 0.002 (0.006) Loss 1.7541 (1.6222) Prec@1 56.250 (56.430) Prec@5 84.375 (84.824) Epoch: [77][830/11272] Time 0.790 (0.802) Data 0.001 (0.006) Loss 1.5266 (1.6218) Prec@1 59.375 (56.437) Prec@5 90.000 (84.848) Epoch: [77][840/11272] Time 0.845 (0.802) Data 0.002 (0.006) Loss 1.4958 (1.6217) Prec@1 60.000 (56.434) Prec@5 85.625 (84.851) Epoch: [77][850/11272] Time 0.777 (0.802) Data 0.002 (0.006) Loss 1.4798 (1.6217) Prec@1 59.375 (56.440) Prec@5 85.000 (84.844) Epoch: [77][860/11272] Time 0.844 (0.802) Data 0.002 (0.006) Loss 1.7621 (1.6212) Prec@1 51.875 (56.450) Prec@5 85.000 (84.855) Epoch: [77][870/11272] Time 0.888 (0.802) Data 0.002 (0.006) Loss 1.5921 (1.6221) Prec@1 58.750 (56.423) Prec@5 82.500 (84.835) Epoch: [77][880/11272] Time 0.743 (0.802) Data 0.001 (0.006) Loss 1.6479 (1.6216) Prec@1 60.625 (56.430) Prec@5 83.125 (84.850) Epoch: [77][890/11272] Time 0.787 (0.802) Data 0.002 (0.006) Loss 1.6878 (1.6212) Prec@1 47.500 (56.435) Prec@5 85.000 (84.853) Epoch: [77][900/11272] Time 0.926 (0.802) Data 0.002 (0.006) Loss 1.6187 (1.6216) Prec@1 59.375 (56.442) Prec@5 84.375 (84.849) Epoch: [77][910/11272] Time 0.838 (0.802) Data 0.002 (0.006) Loss 1.9119 (1.6221) Prec@1 51.250 (56.430) Prec@5 79.375 (84.842) Epoch: [77][920/11272] Time 0.728 (0.802) Data 0.001 (0.006) Loss 1.5939 (1.6230) Prec@1 60.000 (56.397) Prec@5 85.000 (84.836) Epoch: [77][930/11272] Time 0.723 (0.802) Data 0.001 (0.006) Loss 1.6923 (1.6240) Prec@1 59.375 (56.386) Prec@5 83.750 (84.825) Epoch: [77][940/11272] Time 0.822 (0.802) Data 0.001 (0.006) Loss 1.6470 (1.6241) Prec@1 58.125 (56.376) Prec@5 81.250 (84.809) Epoch: [77][950/11272] Time 0.912 (0.802) Data 0.002 (0.006) Loss 1.5034 (1.6233) Prec@1 57.500 (56.383) Prec@5 87.500 (84.823) Epoch: [77][960/11272] Time 0.793 (0.802) Data 0.001 (0.005) Loss 1.4267 (1.6230) Prec@1 58.750 (56.383) Prec@5 89.375 (84.839) Epoch: [77][970/11272] Time 0.731 (0.802) Data 0.002 (0.005) Loss 1.6732 (1.6234) Prec@1 54.375 (56.377) Prec@5 80.625 (84.827) Epoch: [77][980/11272] Time 0.861 (0.802) Data 0.001 (0.005) Loss 1.8550 (1.6240) Prec@1 48.125 (56.361) Prec@5 81.250 (84.824) Epoch: [77][990/11272] Time 0.841 (0.802) Data 0.002 (0.005) Loss 1.6658 (1.6239) Prec@1 56.250 (56.370) Prec@5 83.750 (84.825) Epoch: [77][1000/11272] Time 0.748 (0.802) Data 0.002 (0.005) Loss 1.5224 (1.6240) Prec@1 59.375 (56.368) Prec@5 83.125 (84.818) Epoch: [77][1010/11272] Time 0.831 (0.802) Data 0.001 (0.005) Loss 1.5524 (1.6233) Prec@1 60.625 (56.387) Prec@5 84.375 (84.832) Epoch: [77][1020/11272] Time 0.884 (0.802) Data 0.002 (0.005) Loss 1.5707 (1.6234) Prec@1 63.125 (56.394) Prec@5 83.750 (84.824) Epoch: [77][1030/11272] Time 0.718 (0.802) Data 0.002 (0.005) Loss 1.7193 (1.6235) Prec@1 54.375 (56.392) Prec@5 86.875 (84.831) Epoch: [77][1040/11272] Time 0.731 (0.801) Data 0.001 (0.005) Loss 1.7567 (1.6234) Prec@1 51.875 (56.392) Prec@5 83.125 (84.836) Epoch: [77][1050/11272] Time 0.854 (0.802) Data 0.002 (0.005) Loss 1.7372 (1.6236) Prec@1 56.875 (56.378) Prec@5 83.125 (84.829) Epoch: [77][1060/11272] Time 0.815 (0.802) Data 0.002 (0.005) Loss 1.6112 (1.6243) Prec@1 58.750 (56.380) Prec@5 84.375 (84.825) Epoch: [77][1070/11272] Time 0.741 (0.801) Data 0.002 (0.005) Loss 1.8059 (1.6243) Prec@1 54.375 (56.381) Prec@5 79.375 (84.823) Epoch: [77][1080/11272] Time 0.730 (0.801) Data 0.002 (0.005) Loss 1.6637 (1.6241) Prec@1 54.375 (56.381) Prec@5 81.875 (84.820) Epoch: [77][1090/11272] Time 0.829 (0.801) Data 0.001 (0.005) Loss 1.5433 (1.6247) Prec@1 55.000 (56.378) Prec@5 86.875 (84.806) Epoch: [77][1100/11272] Time 0.826 (0.801) Data 0.002 (0.005) Loss 1.6810 (1.6250) Prec@1 56.250 (56.375) Prec@5 83.750 (84.800) Epoch: [77][1110/11272] Time 0.785 (0.802) Data 0.002 (0.005) Loss 1.6592 (1.6251) Prec@1 55.625 (56.381) Prec@5 82.500 (84.794) Epoch: [77][1120/11272] Time 0.762 (0.802) Data 0.002 (0.005) Loss 1.5258 (1.6251) Prec@1 58.125 (56.373) Prec@5 85.000 (84.785) Epoch: [77][1130/11272] Time 0.851 (0.802) Data 0.002 (0.005) Loss 1.6700 (1.6250) Prec@1 56.250 (56.375) Prec@5 85.000 (84.782) Epoch: [77][1140/11272] Time 0.753 (0.802) Data 0.001 (0.005) Loss 1.4227 (1.6243) Prec@1 58.750 (56.397) Prec@5 88.125 (84.786) Epoch: [77][1150/11272] Time 0.767 (0.802) Data 0.001 (0.005) Loss 1.5254 (1.6246) Prec@1 56.875 (56.387) Prec@5 86.875 (84.782) Epoch: [77][1160/11272] Time 0.869 (0.802) Data 0.002 (0.005) Loss 1.3788 (1.6246) Prec@1 63.750 (56.405) Prec@5 92.500 (84.790) Epoch: [77][1170/11272] Time 0.850 (0.802) Data 0.002 (0.005) Loss 1.4567 (1.6251) Prec@1 56.250 (56.402) Prec@5 88.750 (84.782) Epoch: [77][1180/11272] Time 0.739 (0.802) Data 0.002 (0.005) Loss 1.5952 (1.6244) Prec@1 56.250 (56.408) Prec@5 83.125 (84.797) Epoch: [77][1190/11272] Time 0.723 (0.802) Data 0.002 (0.005) Loss 1.5107 (1.6247) Prec@1 54.375 (56.399) Prec@5 86.875 (84.790) Epoch: [77][1200/11272] Time 0.907 (0.802) Data 0.002 (0.005) Loss 1.8123 (1.6249) Prec@1 50.625 (56.395) Prec@5 85.000 (84.794) Epoch: [77][1210/11272] Time 0.827 (0.802) Data 0.002 (0.005) Loss 1.7469 (1.6253) Prec@1 53.750 (56.385) Prec@5 84.375 (84.793) Epoch: [77][1220/11272] Time 0.741 (0.802) Data 0.002 (0.005) Loss 1.4876 (1.6252) Prec@1 60.000 (56.387) Prec@5 86.250 (84.794) Epoch: [77][1230/11272] Time 0.715 (0.802) Data 0.001 (0.005) Loss 1.5649 (1.6250) Prec@1 58.125 (56.396) Prec@5 89.375 (84.798) Epoch: [77][1240/11272] Time 0.885 (0.802) Data 0.002 (0.005) Loss 1.3442 (1.6246) Prec@1 62.500 (56.402) Prec@5 87.500 (84.803) Epoch: [77][1250/11272] Time 0.799 (0.802) Data 0.001 (0.005) Loss 1.4674 (1.6243) Prec@1 61.250 (56.410) Prec@5 86.875 (84.806) Epoch: [77][1260/11272] Time 0.754 (0.802) Data 0.002 (0.005) Loss 1.6629 (1.6245) Prec@1 56.250 (56.395) Prec@5 83.750 (84.811) Epoch: [77][1270/11272] Time 0.855 (0.802) Data 0.001 (0.005) Loss 1.9257 (1.6244) Prec@1 48.750 (56.400) Prec@5 79.375 (84.812) Epoch: [77][1280/11272] Time 0.870 (0.802) Data 0.002 (0.005) Loss 1.5892 (1.6241) Prec@1 54.375 (56.394) Prec@5 85.625 (84.818) Epoch: [77][1290/11272] Time 0.728 (0.802) Data 0.002 (0.005) Loss 1.4920 (1.6240) Prec@1 61.250 (56.398) Prec@5 86.250 (84.814) Epoch: [77][1300/11272] Time 0.742 (0.802) Data 0.002 (0.004) Loss 1.5792 (1.6241) Prec@1 55.625 (56.399) Prec@5 85.000 (84.814) Epoch: [77][1310/11272] Time 0.843 (0.802) Data 0.002 (0.004) Loss 1.4373 (1.6241) Prec@1 61.250 (56.395) Prec@5 85.000 (84.815) Epoch: [77][1320/11272] Time 0.855 (0.802) Data 0.002 (0.004) Loss 1.3226 (1.6243) Prec@1 66.250 (56.387) Prec@5 86.250 (84.806) Epoch: [77][1330/11272] Time 0.736 (0.802) Data 0.002 (0.004) Loss 1.6450 (1.6241) Prec@1 56.250 (56.393) Prec@5 87.500 (84.814) Epoch: [77][1340/11272] Time 0.739 (0.802) Data 0.002 (0.004) Loss 1.5894 (1.6244) Prec@1 55.625 (56.378) Prec@5 85.625 (84.810) Epoch: [77][1350/11272] Time 0.888 (0.803) Data 0.002 (0.004) Loss 1.4459 (1.6246) Prec@1 58.750 (56.374) Prec@5 89.375 (84.811) Epoch: [77][1360/11272] Time 0.889 (0.803) Data 0.002 (0.004) Loss 1.6800 (1.6247) Prec@1 56.250 (56.363) Prec@5 83.125 (84.814) Epoch: [77][1370/11272] Time 0.791 (0.803) Data 0.004 (0.004) Loss 1.4567 (1.6251) Prec@1 61.250 (56.348) Prec@5 86.250 (84.814) Epoch: [77][1380/11272] Time 0.781 (0.803) Data 0.002 (0.004) Loss 1.8351 (1.6251) Prec@1 51.875 (56.347) Prec@5 83.125 (84.815) Epoch: [77][1390/11272] Time 0.848 (0.803) Data 0.002 (0.004) Loss 1.7660 (1.6255) Prec@1 50.625 (56.340) Prec@5 85.000 (84.815) Epoch: [77][1400/11272] Time 0.711 (0.802) Data 0.003 (0.004) Loss 1.6358 (1.6260) Prec@1 50.625 (56.325) Prec@5 85.000 (84.809) Epoch: [77][1410/11272] Time 0.711 (0.802) Data 0.001 (0.004) Loss 1.4734 (1.6261) Prec@1 61.250 (56.328) Prec@5 88.125 (84.806) Epoch: [77][1420/11272] Time 0.842 (0.802) Data 0.002 (0.004) Loss 1.7833 (1.6263) Prec@1 55.000 (56.325) Prec@5 80.000 (84.798) Epoch: [77][1430/11272] Time 0.853 (0.802) Data 0.002 (0.004) Loss 1.7717 (1.6263) Prec@1 53.750 (56.325) Prec@5 80.000 (84.803) Epoch: [77][1440/11272] Time 0.744 (0.802) Data 0.002 (0.004) Loss 1.3685 (1.6264) Prec@1 63.750 (56.323) Prec@5 88.750 (84.800) Epoch: [77][1450/11272] Time 0.755 (0.802) Data 0.002 (0.004) Loss 1.4409 (1.6265) Prec@1 60.625 (56.323) Prec@5 91.250 (84.806) Epoch: [77][1460/11272] Time 0.872 (0.802) Data 0.002 (0.004) Loss 1.6529 (1.6266) Prec@1 59.375 (56.327) Prec@5 85.000 (84.803) Epoch: [77][1470/11272] Time 0.805 (0.802) Data 0.001 (0.004) Loss 1.7175 (1.6270) Prec@1 55.000 (56.322) Prec@5 85.000 (84.791) Epoch: [77][1480/11272] Time 0.758 (0.802) Data 0.001 (0.004) Loss 1.8237 (1.6274) Prec@1 55.000 (56.306) Prec@5 78.125 (84.781) Epoch: [77][1490/11272] Time 0.742 (0.802) Data 0.002 (0.004) Loss 1.6976 (1.6275) Prec@1 51.875 (56.303) Prec@5 83.750 (84.774) Epoch: [77][1500/11272] Time 0.830 (0.802) Data 0.001 (0.004) Loss 1.6834 (1.6276) Prec@1 55.000 (56.305) Prec@5 83.750 (84.769) Epoch: [77][1510/11272] Time 0.870 (0.802) Data 0.001 (0.004) Loss 1.5832 (1.6278) Prec@1 55.625 (56.298) Prec@5 84.375 (84.762) Epoch: [77][1520/11272] Time 0.744 (0.802) Data 0.001 (0.004) Loss 1.6746 (1.6281) Prec@1 56.250 (56.293) Prec@5 81.875 (84.758) Epoch: [77][1530/11272] Time 0.866 (0.802) Data 0.002 (0.004) Loss 1.5486 (1.6277) Prec@1 63.750 (56.305) Prec@5 86.250 (84.762) Epoch: [77][1540/11272] Time 0.856 (0.802) Data 0.002 (0.004) Loss 1.5530 (1.6272) Prec@1 60.000 (56.319) Prec@5 85.625 (84.770) Epoch: [77][1550/11272] Time 0.764 (0.802) Data 0.001 (0.004) Loss 1.5259 (1.6275) Prec@1 63.750 (56.314) Prec@5 84.375 (84.760) Epoch: [77][1560/11272] Time 0.712 (0.802) Data 0.001 (0.004) Loss 1.7558 (1.6280) Prec@1 54.375 (56.304) Prec@5 84.375 (84.754) Epoch: [77][1570/11272] Time 0.856 (0.802) Data 0.001 (0.004) Loss 1.6611 (1.6281) Prec@1 54.375 (56.296) Prec@5 81.875 (84.752) Epoch: [77][1580/11272] Time 0.836 (0.802) Data 0.002 (0.004) Loss 1.4692 (1.6285) Prec@1 60.000 (56.277) Prec@5 86.875 (84.743) Epoch: [77][1590/11272] Time 0.721 (0.802) Data 0.001 (0.004) Loss 1.6608 (1.6288) Prec@1 58.125 (56.276) Prec@5 84.375 (84.738) Epoch: [77][1600/11272] Time 0.714 (0.802) Data 0.001 (0.004) Loss 1.5434 (1.6285) Prec@1 58.750 (56.282) Prec@5 89.375 (84.745) Epoch: [77][1610/11272] Time 0.851 (0.802) Data 0.002 (0.004) Loss 1.4409 (1.6282) Prec@1 58.125 (56.292) Prec@5 90.000 (84.746) Epoch: [77][1620/11272] Time 0.824 (0.802) Data 0.001 (0.004) Loss 1.6464 (1.6283) Prec@1 53.125 (56.279) Prec@5 82.500 (84.741) Epoch: [77][1630/11272] Time 0.714 (0.802) Data 0.002 (0.004) Loss 1.4416 (1.6285) Prec@1 60.000 (56.271) Prec@5 85.625 (84.734) Epoch: [77][1640/11272] Time 0.776 (0.802) Data 0.002 (0.004) Loss 1.6180 (1.6286) Prec@1 60.625 (56.275) Prec@5 84.375 (84.731) Epoch: [77][1650/11272] Time 0.814 (0.802) Data 0.001 (0.004) Loss 1.6737 (1.6289) Prec@1 56.250 (56.271) Prec@5 85.000 (84.732) Epoch: [77][1660/11272] Time 0.739 (0.802) Data 0.003 (0.004) Loss 1.5994 (1.6292) Prec@1 55.625 (56.263) Prec@5 84.375 (84.718) Epoch: [77][1670/11272] Time 0.752 (0.802) Data 0.002 (0.004) Loss 1.6291 (1.6288) Prec@1 53.750 (56.266) Prec@5 83.750 (84.724) Epoch: [77][1680/11272] Time 0.895 (0.802) Data 0.001 (0.004) Loss 1.8030 (1.6290) Prec@1 45.000 (56.254) Prec@5 84.375 (84.722) Epoch: [77][1690/11272] Time 0.877 (0.802) Data 0.002 (0.004) Loss 1.6287 (1.6289) Prec@1 56.875 (56.247) Prec@5 83.750 (84.727) Epoch: [77][1700/11272] Time 0.738 (0.801) Data 0.002 (0.004) Loss 1.4130 (1.6285) Prec@1 58.125 (56.251) Prec@5 86.250 (84.731) Epoch: [77][1710/11272] Time 0.767 (0.801) Data 0.001 (0.004) Loss 1.5657 (1.6282) Prec@1 58.125 (56.262) Prec@5 81.875 (84.730) Epoch: [77][1720/11272] Time 0.879 (0.802) Data 0.002 (0.004) Loss 1.7479 (1.6280) Prec@1 52.500 (56.258) Prec@5 83.750 (84.733) Epoch: [77][1730/11272] Time 0.840 (0.802) Data 0.002 (0.004) Loss 1.7713 (1.6285) Prec@1 56.250 (56.247) Prec@5 80.000 (84.722) Epoch: [77][1740/11272] Time 0.733 (0.801) Data 0.002 (0.004) Loss 1.7688 (1.6289) Prec@1 51.250 (56.236) Prec@5 82.500 (84.714) Epoch: [77][1750/11272] Time 0.735 (0.801) Data 0.002 (0.004) Loss 1.8292 (1.6291) Prec@1 52.500 (56.220) Prec@5 81.875 (84.714) Epoch: [77][1760/11272] Time 0.826 (0.801) Data 0.002 (0.004) Loss 1.6435 (1.6289) Prec@1 54.375 (56.228) Prec@5 85.000 (84.718) Epoch: [77][1770/11272] Time 0.806 (0.801) Data 0.001 (0.004) Loss 1.7124 (1.6292) Prec@1 58.125 (56.228) Prec@5 80.000 (84.708) Epoch: [77][1780/11272] Time 0.709 (0.801) Data 0.002 (0.004) Loss 1.5276 (1.6289) Prec@1 54.375 (56.229) Prec@5 85.625 (84.711) Epoch: [77][1790/11272] Time 0.851 (0.801) Data 0.002 (0.004) Loss 1.9868 (1.6292) Prec@1 48.750 (56.222) Prec@5 81.875 (84.709) Epoch: [77][1800/11272] Time 0.835 (0.801) Data 0.001 (0.004) Loss 1.5894 (1.6294) Prec@1 58.750 (56.224) Prec@5 83.750 (84.703) Epoch: [77][1810/11272] Time 0.774 (0.801) Data 0.001 (0.004) Loss 1.7808 (1.6291) Prec@1 46.250 (56.222) Prec@5 79.375 (84.705) Epoch: [77][1820/11272] Time 0.729 (0.801) Data 0.002 (0.004) Loss 1.5330 (1.6291) Prec@1 65.000 (56.220) Prec@5 83.750 (84.705) Epoch: [77][1830/11272] Time 0.894 (0.801) Data 0.002 (0.004) Loss 1.5548 (1.6289) Prec@1 53.125 (56.227) Prec@5 85.000 (84.703) Epoch: [77][1840/11272] Time 0.811 (0.801) Data 0.002 (0.004) Loss 1.7463 (1.6290) Prec@1 50.625 (56.228) Prec@5 84.375 (84.702) Epoch: [77][1850/11272] Time 0.736 (0.801) Data 0.001 (0.004) Loss 2.1091 (1.6293) Prec@1 49.375 (56.219) Prec@5 75.000 (84.698) Epoch: [77][1860/11272] Time 0.730 (0.801) Data 0.002 (0.004) Loss 1.9629 (1.6296) Prec@1 46.250 (56.215) Prec@5 76.875 (84.691) Epoch: [77][1870/11272] Time 0.867 (0.801) Data 0.002 (0.004) Loss 1.6017 (1.6296) Prec@1 51.250 (56.212) Prec@5 90.625 (84.692) Epoch: [77][1880/11272] Time 0.876 (0.801) Data 0.001 (0.004) Loss 1.5420 (1.6293) Prec@1 57.500 (56.216) Prec@5 86.875 (84.701) Epoch: [77][1890/11272] Time 0.764 (0.801) Data 0.002 (0.004) Loss 1.5184 (1.6288) Prec@1 59.375 (56.225) Prec@5 84.375 (84.707) Epoch: [77][1900/11272] Time 0.768 (0.801) Data 0.002 (0.004) Loss 1.4837 (1.6286) Prec@1 61.250 (56.224) Prec@5 86.250 (84.711) Epoch: [77][1910/11272] Time 0.855 (0.801) Data 0.002 (0.004) Loss 1.7372 (1.6286) Prec@1 53.750 (56.224) Prec@5 82.500 (84.709) Epoch: [77][1920/11272] Time 0.796 (0.801) Data 0.002 (0.004) Loss 1.5717 (1.6283) Prec@1 55.625 (56.228) Prec@5 84.375 (84.710) Epoch: [77][1930/11272] Time 0.737 (0.801) Data 0.001 (0.004) Loss 1.7570 (1.6284) Prec@1 56.250 (56.228) Prec@5 83.125 (84.711) Epoch: [77][1940/11272] Time 0.824 (0.801) Data 0.002 (0.004) Loss 1.6982 (1.6283) Prec@1 53.125 (56.227) Prec@5 80.000 (84.711) Epoch: [77][1950/11272] Time 0.849 (0.800) Data 0.001 (0.004) Loss 1.3717 (1.6286) Prec@1 61.250 (56.225) Prec@5 88.750 (84.704) Epoch: [77][1960/11272] Time 0.753 (0.800) Data 0.002 (0.004) Loss 1.8176 (1.6288) Prec@1 54.375 (56.225) Prec@5 80.000 (84.698) Epoch: [77][1970/11272] Time 0.741 (0.800) Data 0.001 (0.004) Loss 1.6135 (1.6288) Prec@1 58.750 (56.226) Prec@5 85.000 (84.699) Epoch: [77][1980/11272] Time 0.812 (0.800) Data 0.001 (0.004) Loss 1.3555 (1.6287) Prec@1 60.000 (56.227) Prec@5 89.375 (84.699) Epoch: [77][1990/11272] Time 0.823 (0.800) Data 0.001 (0.004) Loss 1.6643 (1.6289) Prec@1 55.000 (56.217) Prec@5 86.875 (84.693) Epoch: [77][2000/11272] Time 0.750 (0.800) Data 0.002 (0.004) Loss 1.5699 (1.6290) Prec@1 63.750 (56.219) Prec@5 85.000 (84.691) Epoch: [77][2010/11272] Time 0.736 (0.800) Data 0.002 (0.003) Loss 1.5309 (1.6291) Prec@1 61.250 (56.216) Prec@5 88.750 (84.694) Epoch: [77][2020/11272] Time 0.827 (0.800) Data 0.002 (0.003) Loss 1.4034 (1.6294) Prec@1 61.250 (56.212) Prec@5 90.625 (84.690) Epoch: [77][2030/11272] Time 0.826 (0.800) Data 0.001 (0.003) Loss 1.4495 (1.6289) Prec@1 54.375 (56.217) Prec@5 85.625 (84.696) Epoch: [77][2040/11272] Time 0.777 (0.800) Data 0.002 (0.003) Loss 1.6469 (1.6289) Prec@1 54.375 (56.214) Prec@5 84.375 (84.696) Epoch: [77][2050/11272] Time 0.761 (0.800) Data 0.002 (0.003) Loss 1.5772 (1.6291) Prec@1 56.250 (56.211) Prec@5 86.250 (84.692) Epoch: [77][2060/11272] Time 0.856 (0.800) Data 0.003 (0.003) Loss 1.3656 (1.6290) Prec@1 65.000 (56.213) Prec@5 89.375 (84.690) Epoch: [77][2070/11272] Time 0.745 (0.800) Data 0.001 (0.003) Loss 1.7271 (1.6289) Prec@1 50.000 (56.212) Prec@5 80.000 (84.692) Epoch: [77][2080/11272] Time 0.740 (0.800) Data 0.001 (0.003) Loss 1.8143 (1.6291) Prec@1 54.375 (56.207) Prec@5 84.375 (84.689) Epoch: [77][2090/11272] Time 0.833 (0.800) Data 0.002 (0.003) Loss 1.5097 (1.6291) Prec@1 59.375 (56.205) Prec@5 85.000 (84.689) Epoch: [77][2100/11272] Time 0.845 (0.800) Data 0.002 (0.003) Loss 1.6753 (1.6293) Prec@1 57.500 (56.208) Prec@5 84.375 (84.686) Epoch: [77][2110/11272] Time 0.744 (0.800) Data 0.002 (0.003) Loss 1.5346 (1.6291) Prec@1 58.125 (56.207) Prec@5 86.250 (84.690) Epoch: [77][2120/11272] Time 0.736 (0.800) Data 0.002 (0.003) Loss 1.6145 (1.6289) Prec@1 53.125 (56.213) Prec@5 85.000 (84.690) Epoch: [77][2130/11272] Time 0.811 (0.800) Data 0.002 (0.003) Loss 1.4896 (1.6286) Prec@1 60.625 (56.217) Prec@5 85.625 (84.697) Epoch: [77][2140/11272] Time 0.844 (0.800) Data 0.002 (0.003) Loss 1.6719 (1.6288) Prec@1 55.625 (56.215) Prec@5 85.000 (84.696) Epoch: [77][2150/11272] Time 0.728 (0.800) Data 0.002 (0.003) Loss 1.5450 (1.6285) Prec@1 51.875 (56.222) Prec@5 88.750 (84.703) Epoch: [77][2160/11272] Time 0.732 (0.800) Data 0.002 (0.003) Loss 1.6376 (1.6284) Prec@1 55.000 (56.224) Prec@5 83.750 (84.704) Epoch: [77][2170/11272] Time 0.856 (0.800) Data 0.002 (0.003) Loss 1.7317 (1.6284) Prec@1 51.250 (56.221) Prec@5 82.500 (84.704) Epoch: [77][2180/11272] Time 0.829 (0.800) Data 0.002 (0.003) Loss 1.9022 (1.6286) Prec@1 51.875 (56.219) Prec@5 78.125 (84.705) Epoch: [77][2190/11272] Time 0.724 (0.800) Data 0.002 (0.003) Loss 1.6150 (1.6287) Prec@1 55.000 (56.222) Prec@5 83.750 (84.703) Epoch: [77][2200/11272] Time 0.858 (0.800) Data 0.002 (0.003) Loss 1.7013 (1.6286) Prec@1 51.250 (56.226) Prec@5 85.625 (84.702) Epoch: [77][2210/11272] Time 0.876 (0.800) Data 0.002 (0.003) Loss 1.5413 (1.6290) Prec@1 52.500 (56.213) Prec@5 88.750 (84.697) Epoch: [77][2220/11272] Time 0.711 (0.800) Data 0.002 (0.003) Loss 1.7347 (1.6294) Prec@1 52.500 (56.207) Prec@5 82.500 (84.687) Epoch: [77][2230/11272] Time 0.743 (0.800) Data 0.001 (0.003) Loss 1.5371 (1.6298) Prec@1 51.875 (56.195) Prec@5 85.000 (84.680) Epoch: [77][2240/11272] Time 0.875 (0.800) Data 0.002 (0.003) Loss 1.8671 (1.6298) Prec@1 57.500 (56.195) Prec@5 78.125 (84.681) Epoch: [77][2250/11272] Time 0.877 (0.800) Data 0.002 (0.003) Loss 1.5894 (1.6302) Prec@1 55.000 (56.187) Prec@5 86.875 (84.674) Epoch: [77][2260/11272] Time 0.711 (0.800) Data 0.001 (0.003) Loss 1.4665 (1.6304) Prec@1 58.750 (56.181) Prec@5 85.000 (84.675) Epoch: [77][2270/11272] Time 0.710 (0.800) Data 0.001 (0.003) Loss 1.7337 (1.6308) Prec@1 52.500 (56.172) Prec@5 84.375 (84.671) Epoch: [77][2280/11272] Time 0.849 (0.800) Data 0.002 (0.003) Loss 1.3496 (1.6306) Prec@1 63.750 (56.178) Prec@5 90.625 (84.674) Epoch: [77][2290/11272] Time 0.873 (0.800) Data 0.002 (0.003) Loss 1.4608 (1.6303) Prec@1 61.250 (56.185) Prec@5 83.125 (84.675) Epoch: [77][2300/11272] Time 0.745 (0.800) Data 0.002 (0.003) Loss 1.5617 (1.6304) Prec@1 54.375 (56.181) Prec@5 85.625 (84.674) Epoch: [77][2310/11272] Time 0.748 (0.800) Data 0.002 (0.003) Loss 1.5203 (1.6302) Prec@1 61.875 (56.185) Prec@5 86.250 (84.678) Epoch: [77][2320/11272] Time 0.820 (0.800) Data 0.002 (0.003) Loss 1.4483 (1.6304) Prec@1 63.125 (56.183) Prec@5 86.875 (84.675) Epoch: [77][2330/11272] Time 0.734 (0.800) Data 0.004 (0.003) Loss 1.7445 (1.6305) Prec@1 49.375 (56.175) Prec@5 82.500 (84.675) Epoch: [77][2340/11272] Time 0.764 (0.800) Data 0.002 (0.003) Loss 1.5464 (1.6305) Prec@1 59.375 (56.177) Prec@5 88.750 (84.676) Epoch: [77][2350/11272] Time 0.878 (0.800) Data 0.002 (0.003) Loss 1.6605 (1.6305) Prec@1 55.625 (56.181) Prec@5 86.250 (84.677) Epoch: [77][2360/11272] Time 0.838 (0.800) Data 0.002 (0.003) Loss 1.6107 (1.6305) Prec@1 56.250 (56.175) Prec@5 83.750 (84.675) Epoch: [77][2370/11272] Time 0.757 (0.800) Data 0.001 (0.003) Loss 1.8462 (1.6307) Prec@1 52.500 (56.167) Prec@5 81.250 (84.676) Epoch: [77][2380/11272] Time 0.738 (0.800) Data 0.002 (0.003) Loss 1.7381 (1.6307) Prec@1 52.500 (56.166) Prec@5 81.250 (84.676) Epoch: [77][2390/11272] Time 0.847 (0.800) Data 0.002 (0.003) Loss 1.6029 (1.6306) Prec@1 53.750 (56.167) Prec@5 85.000 (84.676) Epoch: [77][2400/11272] Time 0.835 (0.800) Data 0.001 (0.003) Loss 1.7906 (1.6308) Prec@1 56.250 (56.165) Prec@5 81.250 (84.669) Epoch: [77][2410/11272] Time 0.737 (0.800) Data 0.001 (0.003) Loss 1.6394 (1.6309) Prec@1 51.875 (56.164) Prec@5 84.375 (84.667) Epoch: [77][2420/11272] Time 0.747 (0.800) Data 0.002 (0.003) Loss 1.5806 (1.6307) Prec@1 55.000 (56.166) Prec@5 88.125 (84.672) Epoch: [77][2430/11272] Time 0.860 (0.800) Data 0.001 (0.003) Loss 1.7533 (1.6307) Prec@1 55.625 (56.164) Prec@5 83.750 (84.674) Epoch: [77][2440/11272] Time 0.861 (0.800) Data 0.002 (0.003) Loss 1.6357 (1.6310) Prec@1 53.125 (56.160) Prec@5 85.000 (84.672) Epoch: [77][2450/11272] Time 0.759 (0.800) Data 0.002 (0.003) Loss 1.7863 (1.6311) Prec@1 47.500 (56.160) Prec@5 83.750 (84.668) Epoch: [77][2460/11272] Time 0.897 (0.800) Data 0.002 (0.003) Loss 1.6140 (1.6314) Prec@1 60.625 (56.156) Prec@5 85.000 (84.663) Epoch: [77][2470/11272] Time 0.882 (0.800) Data 0.002 (0.003) Loss 1.7241 (1.6319) Prec@1 53.125 (56.141) Prec@5 85.625 (84.656) Epoch: [77][2480/11272] Time 0.711 (0.800) Data 0.001 (0.003) Loss 1.4691 (1.6318) Prec@1 60.000 (56.139) Prec@5 88.125 (84.659) Epoch: [77][2490/11272] Time 0.732 (0.800) Data 0.002 (0.003) Loss 1.8523 (1.6320) Prec@1 48.125 (56.135) Prec@5 79.375 (84.659) Epoch: [77][2500/11272] Time 0.828 (0.800) Data 0.001 (0.003) Loss 1.3246 (1.6318) Prec@1 56.875 (56.137) Prec@5 91.250 (84.662) Epoch: [77][2510/11272] Time 0.844 (0.800) Data 0.002 (0.003) Loss 1.6315 (1.6320) Prec@1 56.875 (56.134) Prec@5 81.250 (84.655) Epoch: [77][2520/11272] Time 0.745 (0.800) Data 0.001 (0.003) Loss 1.6276 (1.6320) Prec@1 58.125 (56.138) Prec@5 83.750 (84.654) Epoch: [77][2530/11272] Time 0.729 (0.800) Data 0.002 (0.003) Loss 1.6025 (1.6321) Prec@1 56.250 (56.134) Prec@5 85.625 (84.649) Epoch: [77][2540/11272] Time 0.852 (0.800) Data 0.002 (0.003) Loss 1.7726 (1.6322) Prec@1 48.125 (56.133) Prec@5 81.250 (84.647) Epoch: [77][2550/11272] Time 0.858 (0.800) Data 0.002 (0.003) Loss 1.5526 (1.6322) Prec@1 53.125 (56.133) Prec@5 86.250 (84.648) Epoch: [77][2560/11272] Time 0.788 (0.800) Data 0.002 (0.003) Loss 1.8134 (1.6323) Prec@1 48.750 (56.127) Prec@5 83.750 (84.647) Epoch: [77][2570/11272] Time 0.730 (0.800) Data 0.002 (0.003) Loss 1.6170 (1.6323) Prec@1 61.875 (56.131) Prec@5 79.375 (84.642) Epoch: [77][2580/11272] Time 0.856 (0.800) Data 0.002 (0.003) Loss 1.4820 (1.6320) Prec@1 58.750 (56.131) Prec@5 89.375 (84.649) Epoch: [77][2590/11272] Time 0.735 (0.800) Data 0.003 (0.003) Loss 1.7315 (1.6322) Prec@1 55.000 (56.121) Prec@5 83.750 (84.649) Epoch: [77][2600/11272] Time 0.766 (0.800) Data 0.001 (0.003) Loss 1.6117 (1.6321) Prec@1 57.500 (56.120) Prec@5 84.375 (84.650) Epoch: [77][2610/11272] Time 0.839 (0.800) Data 0.001 (0.003) Loss 1.5239 (1.6321) Prec@1 60.625 (56.126) Prec@5 87.500 (84.645) Epoch: [77][2620/11272] Time 0.861 (0.799) Data 0.001 (0.003) Loss 1.4241 (1.6321) Prec@1 59.375 (56.125) Prec@5 89.375 (84.646) Epoch: [77][2630/11272] Time 0.735 (0.799) Data 0.002 (0.003) Loss 1.7780 (1.6322) Prec@1 54.375 (56.122) Prec@5 83.125 (84.646) Epoch: [77][2640/11272] Time 0.743 (0.799) Data 0.002 (0.003) Loss 1.8354 (1.6324) Prec@1 55.000 (56.118) Prec@5 80.625 (84.641) Epoch: [77][2650/11272] Time 0.893 (0.800) Data 0.002 (0.003) Loss 1.5838 (1.6323) Prec@1 55.625 (56.120) Prec@5 87.500 (84.643) Epoch: [77][2660/11272] Time 0.817 (0.800) Data 0.002 (0.003) Loss 1.6910 (1.6324) Prec@1 53.125 (56.114) Prec@5 88.125 (84.645) Epoch: [77][2670/11272] Time 0.739 (0.800) Data 0.002 (0.003) Loss 1.8596 (1.6326) Prec@1 53.125 (56.112) Prec@5 82.500 (84.644) Epoch: [77][2680/11272] Time 0.743 (0.800) Data 0.002 (0.003) Loss 1.5099 (1.6324) Prec@1 60.625 (56.119) Prec@5 85.625 (84.648) Epoch: [77][2690/11272] Time 0.849 (0.800) Data 0.001 (0.003) Loss 1.9421 (1.6323) Prec@1 50.625 (56.117) Prec@5 81.250 (84.653) Epoch: [77][2700/11272] Time 0.841 (0.800) Data 0.001 (0.003) Loss 1.6059 (1.6320) Prec@1 59.375 (56.129) Prec@5 83.125 (84.657) Epoch: [77][2710/11272] Time 0.727 (0.800) Data 0.001 (0.003) Loss 1.4453 (1.6321) Prec@1 59.375 (56.127) Prec@5 86.250 (84.655) Epoch: [77][2720/11272] Time 0.878 (0.800) Data 0.002 (0.003) Loss 1.5155 (1.6323) Prec@1 59.375 (56.123) Prec@5 87.500 (84.649) Epoch: [77][2730/11272] Time 0.804 (0.800) Data 0.001 (0.003) Loss 1.7462 (1.6323) Prec@1 54.375 (56.117) Prec@5 86.250 (84.650) Epoch: [77][2740/11272] Time 0.722 (0.799) Data 0.001 (0.003) Loss 1.5709 (1.6325) Prec@1 59.375 (56.110) Prec@5 85.000 (84.649) Epoch: [77][2750/11272] Time 0.764 (0.799) Data 0.002 (0.003) Loss 1.4837 (1.6325) Prec@1 60.625 (56.110) Prec@5 84.375 (84.649) Epoch: [77][2760/11272] Time 0.869 (0.799) Data 0.004 (0.003) Loss 1.4959 (1.6325) Prec@1 57.500 (56.110) Prec@5 88.125 (84.649) Epoch: [77][2770/11272] Time 0.876 (0.800) Data 0.002 (0.003) Loss 1.6845 (1.6323) Prec@1 51.250 (56.116) Prec@5 84.375 (84.652) Epoch: [77][2780/11272] Time 0.716 (0.799) Data 0.001 (0.003) Loss 1.6990 (1.6320) Prec@1 57.500 (56.125) Prec@5 83.750 (84.655) Epoch: [77][2790/11272] Time 0.710 (0.799) Data 0.002 (0.003) Loss 1.4408 (1.6320) Prec@1 59.375 (56.128) Prec@5 89.375 (84.655) Epoch: [77][2800/11272] Time 0.840 (0.799) Data 0.002 (0.003) Loss 1.6308 (1.6321) Prec@1 56.875 (56.124) Prec@5 86.250 (84.653) Epoch: [77][2810/11272] Time 0.855 (0.799) Data 0.001 (0.003) Loss 1.6712 (1.6321) Prec@1 55.625 (56.125) Prec@5 81.250 (84.653) Epoch: [77][2820/11272] Time 0.760 (0.799) Data 0.002 (0.003) Loss 1.6365 (1.6319) Prec@1 54.375 (56.130) Prec@5 85.000 (84.656) Epoch: [77][2830/11272] Time 0.766 (0.799) Data 0.002 (0.003) Loss 1.5935 (1.6318) Prec@1 55.000 (56.129) Prec@5 84.375 (84.658) Epoch: [77][2840/11272] Time 0.837 (0.799) Data 0.002 (0.003) Loss 1.8655 (1.6318) Prec@1 51.250 (56.130) Prec@5 78.125 (84.654) Epoch: [77][2850/11272] Time 0.866 (0.799) Data 0.002 (0.003) Loss 1.3837 (1.6319) Prec@1 63.125 (56.128) Prec@5 90.625 (84.655) Epoch: [77][2860/11272] Time 0.742 (0.799) Data 0.002 (0.003) Loss 1.7110 (1.6319) Prec@1 55.625 (56.128) Prec@5 81.875 (84.655) Epoch: [77][2870/11272] Time 0.819 (0.799) Data 0.001 (0.003) Loss 1.7386 (1.6319) Prec@1 54.375 (56.130) Prec@5 82.500 (84.652) Epoch: [77][2880/11272] Time 0.822 (0.799) Data 0.002 (0.003) Loss 1.7387 (1.6320) Prec@1 50.000 (56.127) Prec@5 81.875 (84.653) Epoch: [77][2890/11272] Time 0.721 (0.799) Data 0.002 (0.003) Loss 1.7676 (1.6320) Prec@1 52.500 (56.124) Prec@5 83.750 (84.652) Epoch: [77][2900/11272] Time 0.711 (0.799) Data 0.001 (0.003) Loss 1.7120 (1.6320) Prec@1 54.375 (56.123) Prec@5 83.125 (84.655) Epoch: [77][2910/11272] Time 0.881 (0.799) Data 0.005 (0.003) Loss 1.8278 (1.6322) Prec@1 52.500 (56.120) Prec@5 82.500 (84.655) Epoch: [77][2920/11272] Time 0.883 (0.799) Data 0.001 (0.003) Loss 1.5711 (1.6322) Prec@1 58.125 (56.121) Prec@5 85.000 (84.653) Epoch: [77][2930/11272] Time 0.743 (0.799) Data 0.002 (0.003) Loss 1.6695 (1.6322) Prec@1 50.000 (56.114) Prec@5 86.875 (84.654) Epoch: [77][2940/11272] Time 0.719 (0.799) Data 0.002 (0.003) Loss 1.5115 (1.6321) Prec@1 60.625 (56.112) Prec@5 84.375 (84.653) Epoch: [77][2950/11272] Time 0.831 (0.799) Data 0.001 (0.003) Loss 1.7813 (1.6322) Prec@1 51.250 (56.109) Prec@5 85.625 (84.656) Epoch: [77][2960/11272] Time 0.819 (0.799) Data 0.002 (0.003) Loss 1.9075 (1.6322) Prec@1 48.750 (56.108) Prec@5 83.125 (84.655) Epoch: [77][2970/11272] Time 0.778 (0.799) Data 0.002 (0.003) Loss 1.8061 (1.6325) Prec@1 52.500 (56.104) Prec@5 81.875 (84.651) Epoch: [77][2980/11272] Time 0.722 (0.799) Data 0.002 (0.003) Loss 1.5313 (1.6326) Prec@1 61.250 (56.106) Prec@5 82.500 (84.648) Epoch: [77][2990/11272] Time 0.903 (0.799) Data 0.002 (0.003) Loss 1.5988 (1.6327) Prec@1 56.875 (56.105) Prec@5 85.000 (84.647) Epoch: [77][3000/11272] Time 0.695 (0.799) Data 0.001 (0.003) Loss 1.6598 (1.6326) Prec@1 50.625 (56.101) Prec@5 82.500 (84.648) Epoch: [77][3010/11272] Time 0.734 (0.799) Data 0.002 (0.003) Loss 1.6793 (1.6329) Prec@1 55.625 (56.096) Prec@5 81.250 (84.643) Epoch: [77][3020/11272] Time 0.826 (0.799) Data 0.002 (0.003) Loss 1.6047 (1.6329) Prec@1 61.250 (56.097) Prec@5 83.125 (84.639) Epoch: [77][3030/11272] Time 0.867 (0.799) Data 0.002 (0.003) Loss 1.7487 (1.6329) Prec@1 55.625 (56.097) Prec@5 81.875 (84.640) Epoch: [77][3040/11272] Time 0.724 (0.799) Data 0.001 (0.003) Loss 1.7172 (1.6329) Prec@1 53.750 (56.095) Prec@5 84.375 (84.640) Epoch: [77][3050/11272] Time 0.759 (0.799) Data 0.002 (0.003) Loss 1.5556 (1.6331) Prec@1 56.250 (56.095) Prec@5 86.875 (84.637) Epoch: [77][3060/11272] Time 0.883 (0.799) Data 0.002 (0.003) Loss 1.8001 (1.6331) Prec@1 50.625 (56.090) Prec@5 79.375 (84.639) Epoch: [77][3070/11272] Time 0.850 (0.799) Data 0.001 (0.003) Loss 1.7093 (1.6332) Prec@1 49.375 (56.088) Prec@5 85.000 (84.638) Epoch: [77][3080/11272] Time 0.763 (0.799) Data 0.001 (0.003) Loss 1.8459 (1.6332) Prec@1 48.750 (56.089) Prec@5 82.500 (84.639) Epoch: [77][3090/11272] Time 0.761 (0.799) Data 0.002 (0.003) Loss 1.4882 (1.6332) Prec@1 62.500 (56.090) Prec@5 86.875 (84.638) Epoch: [77][3100/11272] Time 0.833 (0.799) Data 0.002 (0.003) Loss 1.6086 (1.6332) Prec@1 60.625 (56.089) Prec@5 81.250 (84.637) Epoch: [77][3110/11272] Time 0.871 (0.799) Data 0.002 (0.003) Loss 1.8384 (1.6333) Prec@1 51.875 (56.091) Prec@5 81.875 (84.634) Epoch: [77][3120/11272] Time 0.713 (0.799) Data 0.002 (0.003) Loss 1.5571 (1.6333) Prec@1 63.125 (56.090) Prec@5 83.750 (84.631) Epoch: [77][3130/11272] Time 0.853 (0.799) Data 0.001 (0.003) Loss 1.6029 (1.6333) Prec@1 58.125 (56.096) Prec@5 83.125 (84.631) Epoch: [77][3140/11272] Time 0.828 (0.799) Data 0.002 (0.003) Loss 1.6853 (1.6335) Prec@1 58.125 (56.090) Prec@5 83.750 (84.626) Epoch: [77][3150/11272] Time 0.736 (0.799) Data 0.001 (0.003) Loss 1.5311 (1.6332) Prec@1 58.750 (56.099) Prec@5 86.250 (84.634) Epoch: [77][3160/11272] Time 0.746 (0.799) Data 0.001 (0.003) Loss 1.5004 (1.6331) Prec@1 61.250 (56.106) Prec@5 87.500 (84.637) Epoch: [77][3170/11272] Time 0.802 (0.799) Data 0.002 (0.003) Loss 1.6889 (1.6331) Prec@1 52.500 (56.103) Prec@5 80.000 (84.636) Epoch: [77][3180/11272] Time 0.828 (0.799) Data 0.002 (0.003) Loss 1.5076 (1.6332) Prec@1 60.000 (56.103) Prec@5 85.625 (84.632) Epoch: [77][3190/11272] Time 0.744 (0.799) Data 0.002 (0.003) Loss 1.9277 (1.6332) Prec@1 50.000 (56.100) Prec@5 78.750 (84.633) Epoch: [77][3200/11272] Time 0.777 (0.799) Data 0.002 (0.003) Loss 1.5300 (1.6331) Prec@1 59.375 (56.103) Prec@5 85.000 (84.634) Epoch: [77][3210/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 1.5673 (1.6332) Prec@1 54.375 (56.099) Prec@5 88.750 (84.634) Epoch: [77][3220/11272] Time 0.818 (0.799) Data 0.002 (0.003) Loss 1.7694 (1.6333) Prec@1 55.000 (56.092) Prec@5 84.375 (84.634) Epoch: [77][3230/11272] Time 0.713 (0.799) Data 0.002 (0.003) Loss 1.7210 (1.6334) Prec@1 53.750 (56.090) Prec@5 85.000 (84.631) Epoch: [77][3240/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 1.5575 (1.6334) Prec@1 61.250 (56.089) Prec@5 86.250 (84.632) Epoch: [77][3250/11272] Time 0.826 (0.799) Data 0.001 (0.003) Loss 1.6672 (1.6334) Prec@1 54.375 (56.087) Prec@5 85.000 (84.631) Epoch: [77][3260/11272] Time 0.713 (0.799) Data 0.003 (0.003) Loss 1.5825 (1.6335) Prec@1 58.750 (56.085) Prec@5 86.875 (84.629) Epoch: [77][3270/11272] Time 0.742 (0.799) Data 0.002 (0.003) Loss 1.6437 (1.6336) Prec@1 54.375 (56.084) Prec@5 86.875 (84.628) Epoch: [77][3280/11272] Time 0.846 (0.799) Data 0.002 (0.003) Loss 1.5035 (1.6336) Prec@1 56.250 (56.085) Prec@5 88.125 (84.629) Epoch: [77][3290/11272] Time 0.858 (0.799) Data 0.002 (0.003) Loss 1.4585 (1.6336) Prec@1 59.375 (56.084) Prec@5 85.625 (84.630) Epoch: [77][3300/11272] Time 0.717 (0.799) Data 0.001 (0.003) Loss 1.4442 (1.6334) Prec@1 65.000 (56.090) Prec@5 88.125 (84.633) Epoch: [77][3310/11272] Time 0.720 (0.799) Data 0.001 (0.003) Loss 1.8171 (1.6334) Prec@1 53.125 (56.095) Prec@5 81.875 (84.633) Epoch: [77][3320/11272] Time 0.825 (0.799) Data 0.002 (0.003) Loss 1.4440 (1.6333) Prec@1 56.875 (56.095) Prec@5 89.375 (84.633) Epoch: [77][3330/11272] Time 0.838 (0.799) Data 0.002 (0.003) Loss 1.9825 (1.6334) Prec@1 49.375 (56.090) Prec@5 78.125 (84.633) Epoch: [77][3340/11272] Time 0.796 (0.799) Data 0.002 (0.003) Loss 1.4909 (1.6333) Prec@1 58.125 (56.094) Prec@5 89.375 (84.633) Epoch: [77][3350/11272] Time 0.793 (0.799) Data 0.002 (0.003) Loss 1.6100 (1.6335) Prec@1 56.250 (56.088) Prec@5 84.375 (84.628) Epoch: [77][3360/11272] Time 0.855 (0.799) Data 0.002 (0.003) Loss 1.9113 (1.6335) Prec@1 44.375 (56.091) Prec@5 80.000 (84.625) Epoch: [77][3370/11272] Time 0.853 (0.799) Data 0.002 (0.003) Loss 1.6137 (1.6333) Prec@1 56.875 (56.093) Prec@5 85.000 (84.631) Epoch: [77][3380/11272] Time 0.796 (0.799) Data 0.002 (0.003) Loss 1.6789 (1.6334) Prec@1 52.500 (56.086) Prec@5 82.500 (84.630) Epoch: [77][3390/11272] Time 0.862 (0.799) Data 0.002 (0.003) Loss 1.8263 (1.6335) Prec@1 50.000 (56.081) Prec@5 79.375 (84.628) Epoch: [77][3400/11272] Time 0.865 (0.799) Data 0.002 (0.003) Loss 1.5024 (1.6334) Prec@1 56.875 (56.083) Prec@5 86.250 (84.630) Epoch: [77][3410/11272] Time 0.707 (0.799) Data 0.001 (0.003) Loss 1.6230 (1.6333) Prec@1 57.500 (56.081) Prec@5 84.375 (84.630) Epoch: [77][3420/11272] Time 0.751 (0.799) Data 0.002 (0.003) Loss 1.7026 (1.6332) Prec@1 49.375 (56.079) Prec@5 83.750 (84.632) Epoch: [77][3430/11272] Time 0.912 (0.799) Data 0.002 (0.003) Loss 1.6917 (1.6332) Prec@1 53.125 (56.079) Prec@5 81.875 (84.633) Epoch: [77][3440/11272] Time 0.836 (0.799) Data 0.002 (0.003) Loss 1.8089 (1.6334) Prec@1 52.500 (56.069) Prec@5 82.500 (84.631) Epoch: [77][3450/11272] Time 0.721 (0.799) Data 0.001 (0.003) Loss 1.7395 (1.6336) Prec@1 54.375 (56.062) Prec@5 79.375 (84.627) Epoch: [77][3460/11272] Time 0.741 (0.799) Data 0.002 (0.003) Loss 1.7911 (1.6337) Prec@1 50.000 (56.056) Prec@5 81.875 (84.626) Epoch: [77][3470/11272] Time 0.843 (0.799) Data 0.001 (0.003) Loss 1.9584 (1.6338) Prec@1 50.625 (56.053) Prec@5 79.375 (84.625) Epoch: [77][3480/11272] Time 0.837 (0.799) Data 0.001 (0.003) Loss 1.6828 (1.6339) Prec@1 51.250 (56.048) Prec@5 82.500 (84.621) Epoch: [77][3490/11272] Time 0.746 (0.799) Data 0.002 (0.003) Loss 1.6529 (1.6339) Prec@1 54.375 (56.045) Prec@5 85.000 (84.624) Epoch: [77][3500/11272] Time 0.746 (0.799) Data 0.001 (0.003) Loss 1.6910 (1.6341) Prec@1 55.625 (56.036) Prec@5 85.625 (84.623) Epoch: [77][3510/11272] Time 0.824 (0.799) Data 0.002 (0.003) Loss 1.6248 (1.6342) Prec@1 58.750 (56.036) Prec@5 85.000 (84.619) Epoch: [77][3520/11272] Time 0.713 (0.799) Data 0.004 (0.003) Loss 1.5312 (1.6341) Prec@1 65.625 (56.040) Prec@5 84.375 (84.618) Epoch: [77][3530/11272] Time 0.710 (0.799) Data 0.001 (0.003) Loss 1.7024 (1.6343) Prec@1 53.125 (56.035) Prec@5 86.250 (84.616) Epoch: [77][3540/11272] Time 0.836 (0.799) Data 0.002 (0.003) Loss 1.6697 (1.6343) Prec@1 54.375 (56.037) Prec@5 85.000 (84.617) Epoch: [77][3550/11272] Time 0.838 (0.799) Data 0.002 (0.003) Loss 1.7884 (1.6342) Prec@1 51.250 (56.039) Prec@5 85.625 (84.617) Epoch: [77][3560/11272] Time 0.725 (0.799) Data 0.002 (0.003) Loss 1.6596 (1.6341) Prec@1 55.625 (56.039) Prec@5 83.125 (84.620) Epoch: [77][3570/11272] Time 0.754 (0.799) Data 0.002 (0.003) Loss 1.5034 (1.6340) Prec@1 55.625 (56.039) Prec@5 88.125 (84.620) Epoch: [77][3580/11272] Time 0.892 (0.799) Data 0.001 (0.003) Loss 1.4563 (1.6339) Prec@1 57.500 (56.038) Prec@5 86.250 (84.620) Epoch: [77][3590/11272] Time 0.871 (0.799) Data 0.002 (0.003) Loss 1.4546 (1.6339) Prec@1 60.625 (56.037) Prec@5 83.125 (84.618) Epoch: [77][3600/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 1.7059 (1.6340) Prec@1 53.125 (56.035) Prec@5 80.000 (84.613) Epoch: [77][3610/11272] Time 0.763 (0.799) Data 0.001 (0.003) Loss 1.7278 (1.6341) Prec@1 50.000 (56.032) Prec@5 82.500 (84.612) Epoch: [77][3620/11272] Time 0.857 (0.799) Data 0.002 (0.003) Loss 1.6137 (1.6338) Prec@1 49.375 (56.036) Prec@5 83.125 (84.615) Epoch: [77][3630/11272] Time 0.849 (0.799) Data 0.002 (0.003) Loss 1.7890 (1.6337) Prec@1 54.375 (56.042) Prec@5 83.750 (84.616) Epoch: [77][3640/11272] Time 0.755 (0.799) Data 0.002 (0.003) Loss 1.6598 (1.6337) Prec@1 53.750 (56.043) Prec@5 87.500 (84.618) Epoch: [77][3650/11272] Time 0.880 (0.799) Data 0.002 (0.003) Loss 1.5702 (1.6338) Prec@1 55.625 (56.041) Prec@5 83.125 (84.615) Epoch: [77][3660/11272] Time 0.844 (0.799) Data 0.002 (0.003) Loss 1.6404 (1.6339) Prec@1 59.375 (56.041) Prec@5 83.750 (84.616) Epoch: [77][3670/11272] Time 0.730 (0.799) Data 0.001 (0.003) Loss 1.6635 (1.6338) Prec@1 57.500 (56.046) Prec@5 85.000 (84.619) Epoch: [77][3680/11272] Time 0.712 (0.799) Data 0.001 (0.003) Loss 1.4998 (1.6338) Prec@1 63.125 (56.047) Prec@5 85.000 (84.618) Epoch: [77][3690/11272] Time 0.883 (0.799) Data 0.001 (0.003) Loss 1.6759 (1.6339) Prec@1 53.750 (56.044) Prec@5 81.250 (84.615) Epoch: [77][3700/11272] Time 0.891 (0.799) Data 0.002 (0.003) Loss 1.6372 (1.6339) Prec@1 55.625 (56.042) Prec@5 83.750 (84.614) Epoch: [77][3710/11272] Time 0.722 (0.799) Data 0.002 (0.003) Loss 1.7910 (1.6339) Prec@1 53.125 (56.042) Prec@5 81.250 (84.614) Epoch: [77][3720/11272] Time 0.734 (0.799) Data 0.001 (0.003) Loss 1.6684 (1.6340) Prec@1 59.375 (56.045) Prec@5 81.875 (84.612) Epoch: [77][3730/11272] Time 0.848 (0.799) Data 0.001 (0.003) Loss 1.5456 (1.6341) Prec@1 58.125 (56.043) Prec@5 85.000 (84.609) Epoch: [77][3740/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 1.6625 (1.6343) Prec@1 56.250 (56.043) Prec@5 85.000 (84.607) Epoch: [77][3750/11272] Time 0.756 (0.799) Data 0.002 (0.003) Loss 1.8512 (1.6343) Prec@1 53.750 (56.043) Prec@5 80.625 (84.608) Epoch: [77][3760/11272] Time 0.752 (0.799) Data 0.002 (0.003) Loss 1.5927 (1.6344) Prec@1 58.125 (56.039) Prec@5 84.375 (84.607) Epoch: [77][3770/11272] Time 0.809 (0.799) Data 0.001 (0.003) Loss 1.6701 (1.6345) Prec@1 56.875 (56.037) Prec@5 85.000 (84.603) Epoch: [77][3780/11272] Time 0.832 (0.799) Data 0.002 (0.003) Loss 1.8879 (1.6346) Prec@1 50.000 (56.036) Prec@5 83.125 (84.604) Epoch: [77][3790/11272] Time 0.731 (0.799) Data 0.001 (0.003) Loss 1.5480 (1.6346) Prec@1 58.125 (56.035) Prec@5 85.625 (84.602) Epoch: [77][3800/11272] Time 0.833 (0.799) Data 0.002 (0.003) Loss 1.4597 (1.6346) Prec@1 57.500 (56.033) Prec@5 89.375 (84.606) Epoch: [77][3810/11272] Time 0.885 (0.799) Data 0.002 (0.003) Loss 1.8089 (1.6345) Prec@1 53.125 (56.035) Prec@5 80.625 (84.607) Epoch: [77][3820/11272] Time 0.715 (0.799) Data 0.002 (0.003) Loss 1.5400 (1.6345) Prec@1 55.000 (56.036) Prec@5 85.000 (84.607) Epoch: [77][3830/11272] Time 0.820 (0.799) Data 0.002 (0.003) Loss 1.8411 (1.6345) Prec@1 52.500 (56.031) Prec@5 80.625 (84.607) Epoch: [77][3840/11272] Time 0.858 (0.799) Data 0.001 (0.003) Loss 1.8966 (1.6346) Prec@1 48.750 (56.027) Prec@5 82.500 (84.606) Epoch: [77][3850/11272] Time 0.803 (0.799) Data 0.001 (0.003) Loss 1.6665 (1.6347) Prec@1 59.375 (56.027) Prec@5 81.875 (84.603) Epoch: [77][3860/11272] Time 0.740 (0.799) Data 0.002 (0.003) Loss 1.4878 (1.6347) Prec@1 58.750 (56.029) Prec@5 87.500 (84.603) Epoch: [77][3870/11272] Time 0.720 (0.799) Data 0.002 (0.003) Loss 1.8131 (1.6346) Prec@1 54.375 (56.035) Prec@5 80.625 (84.602) Epoch: [77][3880/11272] Time 0.873 (0.799) Data 0.002 (0.003) Loss 1.6989 (1.6347) Prec@1 54.375 (56.031) Prec@5 81.250 (84.598) Epoch: [77][3890/11272] Time 0.886 (0.799) Data 0.002 (0.003) Loss 1.5235 (1.6348) Prec@1 58.125 (56.028) Prec@5 86.875 (84.599) Epoch: [77][3900/11272] Time 0.756 (0.799) Data 0.002 (0.003) Loss 1.5513 (1.6348) Prec@1 55.000 (56.029) Prec@5 86.250 (84.599) Epoch: [77][3910/11272] Time 0.788 (0.799) Data 0.002 (0.003) Loss 1.5544 (1.6349) Prec@1 60.625 (56.025) Prec@5 83.125 (84.595) Epoch: [77][3920/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 1.5908 (1.6349) Prec@1 57.500 (56.025) Prec@5 85.625 (84.595) Epoch: [77][3930/11272] Time 0.766 (0.799) Data 0.002 (0.003) Loss 1.6947 (1.6348) Prec@1 53.125 (56.030) Prec@5 83.750 (84.599) Epoch: [77][3940/11272] Time 0.753 (0.799) Data 0.002 (0.003) Loss 1.7017 (1.6348) Prec@1 48.125 (56.029) Prec@5 84.375 (84.598) Epoch: [77][3950/11272] Time 0.899 (0.799) Data 0.001 (0.003) Loss 1.7099 (1.6348) Prec@1 50.000 (56.024) Prec@5 84.375 (84.598) Epoch: [77][3960/11272] Time 0.893 (0.799) Data 0.001 (0.003) Loss 1.7888 (1.6349) Prec@1 51.875 (56.022) Prec@5 82.500 (84.598) Epoch: [77][3970/11272] Time 0.721 (0.799) Data 0.002 (0.003) Loss 1.8646 (1.6349) Prec@1 53.125 (56.022) Prec@5 81.875 (84.598) Epoch: [77][3980/11272] Time 0.726 (0.799) Data 0.002 (0.003) Loss 1.4957 (1.6348) Prec@1 61.250 (56.022) Prec@5 87.500 (84.601) Epoch: [77][3990/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 1.5538 (1.6347) Prec@1 54.375 (56.024) Prec@5 89.375 (84.604) Epoch: [77][4000/11272] Time 0.827 (0.799) Data 0.001 (0.003) Loss 1.6699 (1.6346) Prec@1 53.750 (56.027) Prec@5 83.125 (84.605) Epoch: [77][4010/11272] Time 0.775 (0.799) Data 0.002 (0.003) Loss 1.4496 (1.6346) Prec@1 60.625 (56.029) Prec@5 85.000 (84.602) Epoch: [77][4020/11272] Time 0.745 (0.799) Data 0.001 (0.003) Loss 1.5062 (1.6345) Prec@1 60.000 (56.035) Prec@5 86.875 (84.604) Epoch: [77][4030/11272] Time 0.866 (0.799) Data 0.002 (0.003) Loss 1.6620 (1.6346) Prec@1 53.125 (56.034) Prec@5 85.625 (84.606) Epoch: [77][4040/11272] Time 0.834 (0.799) Data 0.001 (0.003) Loss 1.7609 (1.6345) Prec@1 51.250 (56.032) Prec@5 83.750 (84.606) Epoch: [77][4050/11272] Time 0.754 (0.799) Data 0.002 (0.003) Loss 1.6981 (1.6345) Prec@1 55.625 (56.033) Prec@5 81.875 (84.605) Epoch: [77][4060/11272] Time 0.908 (0.799) Data 0.002 (0.003) Loss 1.6813 (1.6346) Prec@1 51.875 (56.028) Prec@5 79.375 (84.601) Epoch: [77][4070/11272] Time 0.816 (0.799) Data 0.002 (0.003) Loss 1.7640 (1.6347) Prec@1 57.500 (56.028) Prec@5 81.250 (84.601) Epoch: [77][4080/11272] Time 0.721 (0.799) Data 0.001 (0.003) Loss 1.6200 (1.6347) Prec@1 57.500 (56.028) Prec@5 83.750 (84.600) Epoch: [77][4090/11272] Time 0.766 (0.799) Data 0.002 (0.003) Loss 1.6758 (1.6348) Prec@1 57.500 (56.030) Prec@5 85.000 (84.600) Epoch: [77][4100/11272] Time 0.856 (0.799) Data 0.002 (0.003) Loss 1.6619 (1.6347) Prec@1 60.000 (56.033) Prec@5 84.375 (84.601) Epoch: [77][4110/11272] Time 0.871 (0.799) Data 0.002 (0.003) Loss 2.0322 (1.6348) Prec@1 50.000 (56.030) Prec@5 77.500 (84.599) Epoch: [77][4120/11272] Time 0.732 (0.799) Data 0.002 (0.003) Loss 1.7476 (1.6349) Prec@1 55.000 (56.027) Prec@5 83.125 (84.599) Epoch: [77][4130/11272] Time 0.788 (0.799) Data 0.002 (0.003) Loss 1.7679 (1.6349) Prec@1 50.625 (56.025) Prec@5 83.125 (84.599) Epoch: [77][4140/11272] Time 0.839 (0.799) Data 0.002 (0.003) Loss 1.8644 (1.6349) Prec@1 52.500 (56.025) Prec@5 84.375 (84.600) Epoch: [77][4150/11272] Time 0.813 (0.799) Data 0.001 (0.003) Loss 1.5442 (1.6350) Prec@1 61.250 (56.022) Prec@5 84.375 (84.596) Epoch: [77][4160/11272] Time 0.784 (0.799) Data 0.002 (0.003) Loss 1.5775 (1.6349) Prec@1 56.250 (56.025) Prec@5 86.250 (84.597) Epoch: [77][4170/11272] Time 0.739 (0.799) Data 0.001 (0.003) Loss 1.8182 (1.6351) Prec@1 51.250 (56.023) Prec@5 81.250 (84.594) Epoch: [77][4180/11272] Time 0.851 (0.799) Data 0.001 (0.003) Loss 1.6824 (1.6349) Prec@1 56.250 (56.029) Prec@5 85.625 (84.597) Epoch: [77][4190/11272] Time 0.723 (0.799) Data 0.003 (0.003) Loss 1.5921 (1.6349) Prec@1 59.375 (56.029) Prec@5 86.875 (84.599) Epoch: [77][4200/11272] Time 0.777 (0.799) Data 0.001 (0.003) Loss 1.4853 (1.6349) Prec@1 56.250 (56.030) Prec@5 88.125 (84.598) Epoch: [77][4210/11272] Time 0.841 (0.799) Data 0.002 (0.003) Loss 1.8372 (1.6351) Prec@1 53.750 (56.026) Prec@5 85.000 (84.596) Epoch: [77][4220/11272] Time 0.862 (0.799) Data 0.002 (0.003) Loss 1.6536 (1.6351) Prec@1 56.250 (56.029) Prec@5 83.750 (84.596) Epoch: [77][4230/11272] Time 0.747 (0.799) Data 0.002 (0.003) Loss 1.7067 (1.6352) Prec@1 53.125 (56.028) Prec@5 83.125 (84.597) Epoch: [77][4240/11272] Time 0.696 (0.799) Data 0.001 (0.003) Loss 1.7639 (1.6351) Prec@1 51.250 (56.024) Prec@5 82.500 (84.599) Epoch: [77][4250/11272] Time 0.880 (0.799) Data 0.002 (0.003) Loss 1.6619 (1.6351) Prec@1 55.625 (56.021) Prec@5 81.875 (84.599) Epoch: [77][4260/11272] Time 0.881 (0.799) Data 0.002 (0.003) Loss 1.7046 (1.6351) Prec@1 54.375 (56.021) Prec@5 81.875 (84.598) Epoch: [77][4270/11272] Time 0.733 (0.799) Data 0.002 (0.003) Loss 1.4019 (1.6350) Prec@1 59.375 (56.021) Prec@5 86.875 (84.602) Epoch: [77][4280/11272] Time 0.719 (0.799) Data 0.002 (0.003) Loss 1.6440 (1.6350) Prec@1 57.500 (56.020) Prec@5 83.125 (84.602) Epoch: [77][4290/11272] Time 0.912 (0.799) Data 0.002 (0.003) Loss 1.7743 (1.6351) Prec@1 51.875 (56.019) Prec@5 84.375 (84.602) Epoch: [77][4300/11272] Time 0.848 (0.799) Data 0.001 (0.003) Loss 1.6870 (1.6352) Prec@1 52.500 (56.015) Prec@5 85.000 (84.600) Epoch: [77][4310/11272] Time 0.739 (0.799) Data 0.002 (0.003) Loss 1.7100 (1.6354) Prec@1 55.000 (56.011) Prec@5 83.750 (84.595) Epoch: [77][4320/11272] Time 0.870 (0.799) Data 0.001 (0.003) Loss 1.6341 (1.6352) Prec@1 58.750 (56.016) Prec@5 85.000 (84.597) Epoch: [77][4330/11272] Time 0.822 (0.799) Data 0.002 (0.003) Loss 1.8709 (1.6352) Prec@1 53.750 (56.014) Prec@5 76.250 (84.597) Epoch: [77][4340/11272] Time 0.713 (0.798) Data 0.001 (0.003) Loss 1.6623 (1.6352) Prec@1 58.750 (56.018) Prec@5 84.375 (84.596) Epoch: [77][4350/11272] Time 0.779 (0.798) Data 0.002 (0.003) Loss 1.7406 (1.6353) Prec@1 48.750 (56.016) Prec@5 83.125 (84.595) Epoch: [77][4360/11272] Time 0.821 (0.798) Data 0.001 (0.003) Loss 1.6634 (1.6352) Prec@1 55.000 (56.016) Prec@5 83.750 (84.596) Epoch: [77][4370/11272] Time 0.855 (0.798) Data 0.002 (0.003) Loss 1.4778 (1.6351) Prec@1 59.375 (56.017) Prec@5 84.375 (84.599) Epoch: [77][4380/11272] Time 0.724 (0.798) Data 0.001 (0.003) Loss 1.5153 (1.6351) Prec@1 61.250 (56.019) Prec@5 84.375 (84.600) Epoch: [77][4390/11272] Time 0.755 (0.798) Data 0.002 (0.003) Loss 1.7367 (1.6351) Prec@1 56.250 (56.016) Prec@5 81.875 (84.600) Epoch: [77][4400/11272] Time 0.816 (0.798) Data 0.002 (0.003) Loss 1.5978 (1.6352) Prec@1 55.000 (56.015) Prec@5 86.875 (84.597) Epoch: [77][4410/11272] Time 0.803 (0.798) Data 0.001 (0.002) Loss 1.7016 (1.6352) Prec@1 56.875 (56.020) Prec@5 80.000 (84.599) Epoch: [77][4420/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.5445 (1.6352) Prec@1 58.125 (56.016) Prec@5 88.125 (84.599) Epoch: [77][4430/11272] Time 0.740 (0.798) Data 0.001 (0.002) Loss 1.5887 (1.6352) Prec@1 55.625 (56.015) Prec@5 83.750 (84.598) Epoch: [77][4440/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.9398 (1.6352) Prec@1 51.875 (56.017) Prec@5 80.000 (84.597) Epoch: [77][4450/11272] Time 0.738 (0.798) Data 0.004 (0.002) Loss 1.7642 (1.6354) Prec@1 52.500 (56.013) Prec@5 80.625 (84.594) Epoch: [77][4460/11272] Time 0.796 (0.798) Data 0.001 (0.002) Loss 1.8538 (1.6352) Prec@1 47.500 (56.014) Prec@5 88.125 (84.598) Epoch: [77][4470/11272] Time 0.856 (0.798) Data 0.002 (0.002) Loss 1.6056 (1.6352) Prec@1 56.875 (56.015) Prec@5 82.500 (84.599) Epoch: [77][4480/11272] Time 0.845 (0.798) Data 0.001 (0.002) Loss 1.3529 (1.6352) Prec@1 63.125 (56.016) Prec@5 90.000 (84.600) Epoch: [77][4490/11272] Time 0.786 (0.798) Data 0.002 (0.002) Loss 1.6377 (1.6351) Prec@1 55.000 (56.018) Prec@5 84.375 (84.602) Epoch: [77][4500/11272] Time 0.756 (0.798) Data 0.001 (0.002) Loss 1.5706 (1.6350) Prec@1 51.875 (56.019) Prec@5 85.625 (84.602) Epoch: [77][4510/11272] Time 0.849 (0.798) Data 0.002 (0.002) Loss 1.7646 (1.6351) Prec@1 56.250 (56.018) Prec@5 83.125 (84.604) Epoch: [77][4520/11272] Time 0.827 (0.798) Data 0.002 (0.002) Loss 1.6686 (1.6350) Prec@1 52.500 (56.018) Prec@5 85.625 (84.604) Epoch: [77][4530/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.6167 (1.6350) Prec@1 55.000 (56.020) Prec@5 85.625 (84.604) Epoch: [77][4540/11272] Time 0.729 (0.798) Data 0.001 (0.002) Loss 1.7151 (1.6351) Prec@1 53.125 (56.020) Prec@5 80.000 (84.601) Epoch: [77][4550/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 1.5592 (1.6351) Prec@1 60.000 (56.018) Prec@5 85.000 (84.599) Epoch: [77][4560/11272] Time 0.825 (0.798) Data 0.001 (0.002) Loss 1.6335 (1.6353) Prec@1 52.500 (56.017) Prec@5 83.125 (84.594) Epoch: [77][4570/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 1.6053 (1.6353) Prec@1 53.750 (56.017) Prec@5 83.750 (84.597) Epoch: [77][4580/11272] Time 0.861 (0.798) Data 0.001 (0.002) Loss 1.2278 (1.6352) Prec@1 66.875 (56.020) Prec@5 91.875 (84.597) Epoch: [77][4590/11272] Time 0.856 (0.798) Data 0.002 (0.002) Loss 1.6163 (1.6352) Prec@1 58.125 (56.023) Prec@5 86.250 (84.598) Epoch: [77][4600/11272] Time 0.724 (0.798) Data 0.001 (0.002) Loss 1.8392 (1.6352) Prec@1 51.250 (56.020) Prec@5 79.375 (84.597) Epoch: [77][4610/11272] Time 0.716 (0.798) Data 0.001 (0.002) Loss 1.6231 (1.6351) Prec@1 55.625 (56.026) Prec@5 83.750 (84.599) Epoch: [77][4620/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.6339 (1.6351) Prec@1 56.875 (56.027) Prec@5 85.000 (84.597) Epoch: [77][4630/11272] Time 0.857 (0.798) Data 0.001 (0.002) Loss 1.5400 (1.6351) Prec@1 60.625 (56.025) Prec@5 86.250 (84.597) Epoch: [77][4640/11272] Time 0.764 (0.798) Data 0.002 (0.002) Loss 1.6270 (1.6352) Prec@1 56.250 (56.023) Prec@5 85.000 (84.596) Epoch: [77][4650/11272] Time 0.745 (0.798) Data 0.002 (0.002) Loss 1.8224 (1.6354) Prec@1 50.625 (56.019) Prec@5 83.125 (84.596) Epoch: [77][4660/11272] Time 0.816 (0.798) Data 0.001 (0.002) Loss 1.4811 (1.6353) Prec@1 58.750 (56.023) Prec@5 88.750 (84.598) Epoch: [77][4670/11272] Time 0.841 (0.798) Data 0.001 (0.002) Loss 1.5640 (1.6353) Prec@1 56.875 (56.022) Prec@5 86.875 (84.598) Epoch: [77][4680/11272] Time 0.717 (0.798) Data 0.002 (0.002) Loss 1.7091 (1.6352) Prec@1 55.625 (56.023) Prec@5 83.750 (84.599) Epoch: [77][4690/11272] Time 0.724 (0.798) Data 0.002 (0.002) Loss 1.8221 (1.6353) Prec@1 52.500 (56.024) Prec@5 81.875 (84.599) Epoch: [77][4700/11272] Time 0.845 (0.798) Data 0.002 (0.002) Loss 1.6806 (1.6355) Prec@1 57.500 (56.020) Prec@5 84.375 (84.596) Epoch: [77][4710/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 1.6461 (1.6355) Prec@1 53.125 (56.017) Prec@5 81.875 (84.593) Epoch: [77][4720/11272] Time 0.718 (0.798) Data 0.002 (0.002) Loss 1.5147 (1.6356) Prec@1 59.375 (56.014) Prec@5 85.000 (84.592) Epoch: [77][4730/11272] Time 0.842 (0.798) Data 0.002 (0.002) Loss 1.2575 (1.6354) Prec@1 63.750 (56.019) Prec@5 90.625 (84.596) Epoch: [77][4740/11272] Time 0.827 (0.798) Data 0.002 (0.002) Loss 1.5402 (1.6354) Prec@1 56.250 (56.021) Prec@5 86.250 (84.598) Epoch: [77][4750/11272] Time 0.717 (0.798) Data 0.002 (0.002) Loss 1.5963 (1.6355) Prec@1 61.250 (56.021) Prec@5 83.750 (84.600) Epoch: [77][4760/11272] Time 0.725 (0.798) Data 0.002 (0.002) Loss 1.5149 (1.6355) Prec@1 56.875 (56.020) Prec@5 88.750 (84.599) Epoch: [77][4770/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 1.7075 (1.6355) Prec@1 54.375 (56.019) Prec@5 80.625 (84.595) Epoch: [77][4780/11272] Time 0.852 (0.798) Data 0.001 (0.002) Loss 1.7888 (1.6355) Prec@1 50.625 (56.018) Prec@5 78.750 (84.592) Epoch: [77][4790/11272] Time 0.737 (0.798) Data 0.001 (0.002) Loss 1.7027 (1.6356) Prec@1 55.625 (56.016) Prec@5 83.750 (84.590) Epoch: [77][4800/11272] Time 0.719 (0.798) Data 0.002 (0.002) Loss 1.7669 (1.6359) Prec@1 55.000 (56.011) Prec@5 82.500 (84.587) Epoch: [77][4810/11272] Time 0.851 (0.798) Data 0.002 (0.002) Loss 1.9552 (1.6359) Prec@1 47.500 (56.007) Prec@5 81.875 (84.587) Epoch: [77][4820/11272] Time 0.815 (0.798) Data 0.002 (0.002) Loss 1.4344 (1.6358) Prec@1 64.375 (56.010) Prec@5 88.125 (84.586) Epoch: [77][4830/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 1.7680 (1.6357) Prec@1 51.875 (56.012) Prec@5 84.375 (84.588) Epoch: [77][4840/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 1.7696 (1.6358) Prec@1 55.625 (56.011) Prec@5 84.375 (84.590) Epoch: [77][4850/11272] Time 0.828 (0.798) Data 0.001 (0.002) Loss 1.5306 (1.6357) Prec@1 60.625 (56.013) Prec@5 85.000 (84.590) Epoch: [77][4860/11272] Time 0.749 (0.798) Data 0.002 (0.002) Loss 1.8577 (1.6358) Prec@1 51.250 (56.012) Prec@5 83.750 (84.590) Epoch: [77][4870/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.4664 (1.6356) Prec@1 58.750 (56.019) Prec@5 89.375 (84.594) Epoch: [77][4880/11272] Time 0.821 (0.798) Data 0.001 (0.002) Loss 1.5052 (1.6355) Prec@1 60.625 (56.019) Prec@5 88.750 (84.595) Epoch: [77][4890/11272] Time 0.832 (0.798) Data 0.002 (0.002) Loss 1.3499 (1.6356) Prec@1 61.875 (56.016) Prec@5 91.250 (84.594) Epoch: [77][4900/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 1.9217 (1.6357) Prec@1 50.000 (56.014) Prec@5 78.750 (84.591) Epoch: [77][4910/11272] Time 0.748 (0.798) Data 0.002 (0.002) Loss 1.7150 (1.6357) Prec@1 54.375 (56.012) Prec@5 85.625 (84.592) Epoch: [77][4920/11272] Time 0.818 (0.798) Data 0.002 (0.002) Loss 1.6348 (1.6357) Prec@1 56.250 (56.013) Prec@5 84.375 (84.594) Epoch: [77][4930/11272] Time 0.850 (0.798) Data 0.001 (0.002) Loss 1.7070 (1.6357) Prec@1 55.625 (56.010) Prec@5 85.625 (84.595) Epoch: [77][4940/11272] Time 0.717 (0.798) Data 0.002 (0.002) Loss 1.7260 (1.6357) Prec@1 56.250 (56.009) Prec@5 81.250 (84.593) Epoch: [77][4950/11272] Time 0.776 (0.798) Data 0.002 (0.002) Loss 1.6530 (1.6357) Prec@1 58.125 (56.010) Prec@5 78.750 (84.591) Epoch: [77][4960/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.7465 (1.6356) Prec@1 56.250 (56.013) Prec@5 80.625 (84.592) Epoch: [77][4970/11272] Time 0.832 (0.798) Data 0.001 (0.002) Loss 1.7839 (1.6354) Prec@1 52.500 (56.016) Prec@5 85.000 (84.595) Epoch: [77][4980/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.7940 (1.6355) Prec@1 53.125 (56.016) Prec@5 81.875 (84.594) Epoch: [77][4990/11272] Time 0.842 (0.798) Data 0.002 (0.002) Loss 1.5499 (1.6356) Prec@1 53.750 (56.016) Prec@5 83.750 (84.593) Epoch: [77][5000/11272] Time 0.823 (0.798) Data 0.002 (0.002) Loss 1.5101 (1.6356) Prec@1 62.500 (56.014) Prec@5 86.250 (84.592) Epoch: [77][5010/11272] Time 0.718 (0.798) Data 0.001 (0.002) Loss 1.8788 (1.6356) Prec@1 54.375 (56.015) Prec@5 79.375 (84.597) Epoch: [77][5020/11272] Time 0.723 (0.798) Data 0.001 (0.002) Loss 1.5024 (1.6355) Prec@1 61.250 (56.013) Prec@5 86.250 (84.598) Epoch: [77][5030/11272] Time 0.838 (0.798) Data 0.002 (0.002) Loss 1.6277 (1.6357) Prec@1 56.875 (56.009) Prec@5 83.125 (84.596) Epoch: [77][5040/11272] Time 0.852 (0.798) Data 0.002 (0.002) Loss 1.6542 (1.6357) Prec@1 52.500 (56.008) Prec@5 86.875 (84.595) Epoch: [77][5050/11272] Time 0.734 (0.798) Data 0.002 (0.002) Loss 1.4300 (1.6357) Prec@1 60.625 (56.008) Prec@5 86.875 (84.595) Epoch: [77][5060/11272] Time 0.721 (0.798) Data 0.002 (0.002) Loss 1.5148 (1.6357) Prec@1 60.000 (56.010) Prec@5 89.375 (84.596) Epoch: [77][5070/11272] Time 0.856 (0.798) Data 0.002 (0.002) Loss 1.5825 (1.6356) Prec@1 61.250 (56.015) Prec@5 85.625 (84.599) Epoch: [77][5080/11272] Time 0.824 (0.798) Data 0.001 (0.002) Loss 1.5205 (1.6354) Prec@1 59.375 (56.016) Prec@5 87.500 (84.602) Epoch: [77][5090/11272] Time 0.764 (0.798) Data 0.001 (0.002) Loss 1.9195 (1.6355) Prec@1 53.750 (56.011) Prec@5 80.625 (84.602) Epoch: [77][5100/11272] Time 0.734 (0.798) Data 0.001 (0.002) Loss 1.5529 (1.6356) Prec@1 58.125 (56.008) Prec@5 85.000 (84.599) Epoch: [77][5110/11272] Time 0.879 (0.798) Data 0.001 (0.002) Loss 1.7233 (1.6356) Prec@1 55.625 (56.010) Prec@5 83.750 (84.602) Epoch: [77][5120/11272] Time 0.734 (0.798) Data 0.005 (0.002) Loss 1.5000 (1.6355) Prec@1 59.375 (56.012) Prec@5 86.250 (84.604) Epoch: [77][5130/11272] Time 0.776 (0.798) Data 0.002 (0.002) Loss 1.5992 (1.6355) Prec@1 54.375 (56.010) Prec@5 85.625 (84.604) Epoch: [77][5140/11272] Time 0.862 (0.798) Data 0.002 (0.002) Loss 1.8216 (1.6355) Prec@1 46.250 (56.008) Prec@5 83.125 (84.603) Epoch: [77][5150/11272] Time 0.837 (0.798) Data 0.002 (0.002) Loss 1.5827 (1.6355) Prec@1 58.125 (56.007) Prec@5 86.250 (84.603) Epoch: [77][5160/11272] Time 0.741 (0.798) Data 0.002 (0.002) Loss 1.6315 (1.6356) Prec@1 52.500 (56.005) Prec@5 83.125 (84.602) Epoch: [77][5170/11272] Time 0.761 (0.798) Data 0.002 (0.002) Loss 1.6666 (1.6357) Prec@1 53.125 (55.999) Prec@5 86.875 (84.602) Epoch: [77][5180/11272] Time 0.864 (0.798) Data 0.002 (0.002) Loss 1.6598 (1.6357) Prec@1 57.500 (56.000) Prec@5 83.750 (84.601) Epoch: [77][5190/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.6510 (1.6357) Prec@1 53.125 (55.998) Prec@5 83.125 (84.600) Epoch: [77][5200/11272] Time 0.726 (0.798) Data 0.001 (0.002) Loss 1.4385 (1.6358) Prec@1 60.000 (55.998) Prec@5 86.875 (84.599) Epoch: [77][5210/11272] Time 0.785 (0.798) Data 0.002 (0.002) Loss 1.5751 (1.6358) Prec@1 52.500 (55.996) Prec@5 86.875 (84.600) Epoch: [77][5220/11272] Time 0.861 (0.798) Data 0.002 (0.002) Loss 1.4356 (1.6357) Prec@1 55.000 (56.000) Prec@5 92.500 (84.601) Epoch: [77][5230/11272] Time 0.859 (0.798) Data 0.002 (0.002) Loss 1.6140 (1.6357) Prec@1 57.500 (56.000) Prec@5 83.750 (84.600) Epoch: [77][5240/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.5749 (1.6358) Prec@1 56.250 (55.999) Prec@5 86.250 (84.599) Epoch: [77][5250/11272] Time 0.836 (0.798) Data 0.002 (0.002) Loss 1.8059 (1.6359) Prec@1 48.125 (55.997) Prec@5 82.500 (84.595) Epoch: [77][5260/11272] Time 0.891 (0.798) Data 0.002 (0.002) Loss 1.6903 (1.6360) Prec@1 53.750 (55.993) Prec@5 85.000 (84.593) Epoch: [77][5270/11272] Time 0.710 (0.798) Data 0.001 (0.002) Loss 1.5065 (1.6361) Prec@1 58.125 (55.993) Prec@5 86.250 (84.591) Epoch: [77][5280/11272] Time 0.697 (0.798) Data 0.002 (0.002) Loss 1.7139 (1.6360) Prec@1 54.375 (55.993) Prec@5 82.500 (84.591) Epoch: [77][5290/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.6412 (1.6361) Prec@1 55.000 (55.991) Prec@5 84.375 (84.592) Epoch: [77][5300/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 1.6335 (1.6362) Prec@1 55.000 (55.988) Prec@5 85.000 (84.591) Epoch: [77][5310/11272] Time 0.774 (0.798) Data 0.001 (0.002) Loss 1.6271 (1.6364) Prec@1 55.625 (55.983) Prec@5 83.750 (84.588) Epoch: [77][5320/11272] Time 0.732 (0.798) Data 0.001 (0.002) Loss 1.7598 (1.6365) Prec@1 52.500 (55.977) Prec@5 80.625 (84.586) Epoch: [77][5330/11272] Time 0.908 (0.798) Data 0.002 (0.002) Loss 1.5595 (1.6366) Prec@1 56.875 (55.976) Prec@5 85.625 (84.583) Epoch: [77][5340/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 1.7326 (1.6367) Prec@1 51.250 (55.972) Prec@5 83.750 (84.583) Epoch: [77][5350/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 1.7351 (1.6367) Prec@1 53.750 (55.970) Prec@5 85.000 (84.582) Epoch: [77][5360/11272] Time 0.707 (0.798) Data 0.001 (0.002) Loss 1.5640 (1.6368) Prec@1 60.000 (55.968) Prec@5 85.625 (84.582) Epoch: [77][5370/11272] Time 0.818 (0.798) Data 0.002 (0.002) Loss 1.6345 (1.6369) Prec@1 56.250 (55.965) Prec@5 84.375 (84.581) Epoch: [77][5380/11272] Time 0.727 (0.798) Data 0.003 (0.002) Loss 1.6998 (1.6368) Prec@1 53.750 (55.969) Prec@5 86.875 (84.583) Epoch: [77][5390/11272] Time 0.726 (0.798) Data 0.001 (0.002) Loss 1.5175 (1.6368) Prec@1 56.875 (55.969) Prec@5 90.000 (84.584) Epoch: [77][5400/11272] Time 0.823 (0.798) Data 0.001 (0.002) Loss 1.5777 (1.6369) Prec@1 55.625 (55.968) Prec@5 85.625 (84.582) Epoch: [77][5410/11272] Time 0.884 (0.798) Data 0.002 (0.002) Loss 1.6584 (1.6369) Prec@1 55.000 (55.965) Prec@5 83.125 (84.579) Epoch: [77][5420/11272] Time 0.798 (0.798) Data 0.002 (0.002) Loss 1.5377 (1.6369) Prec@1 58.125 (55.967) Prec@5 86.875 (84.580) Epoch: [77][5430/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.4994 (1.6370) Prec@1 57.500 (55.964) Prec@5 88.750 (84.580) Epoch: [77][5440/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 1.5896 (1.6371) Prec@1 58.125 (55.962) Prec@5 85.625 (84.578) Epoch: [77][5450/11272] Time 0.840 (0.798) Data 0.002 (0.002) Loss 1.7430 (1.6372) Prec@1 50.625 (55.959) Prec@5 81.875 (84.576) Epoch: [77][5460/11272] Time 0.755 (0.798) Data 0.002 (0.002) Loss 1.6656 (1.6373) Prec@1 56.250 (55.961) Prec@5 84.375 (84.576) Epoch: [77][5470/11272] Time 0.715 (0.798) Data 0.002 (0.002) Loss 1.7358 (1.6374) Prec@1 52.500 (55.957) Prec@5 83.750 (84.574) Epoch: [77][5480/11272] Time 0.872 (0.798) Data 0.002 (0.002) Loss 1.8068 (1.6374) Prec@1 51.250 (55.958) Prec@5 82.500 (84.573) Epoch: [77][5490/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.7068 (1.6376) Prec@1 55.625 (55.956) Prec@5 83.750 (84.571) Epoch: [77][5500/11272] Time 0.720 (0.797) Data 0.002 (0.002) Loss 1.6951 (1.6378) Prec@1 55.000 (55.949) Prec@5 83.125 (84.569) Epoch: [77][5510/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 1.7894 (1.6379) Prec@1 55.000 (55.949) Prec@5 82.500 (84.567) Epoch: [77][5520/11272] Time 0.841 (0.797) Data 0.002 (0.002) Loss 1.8281 (1.6380) Prec@1 52.500 (55.946) Prec@5 82.500 (84.565) Epoch: [77][5530/11272] Time 0.731 (0.797) Data 0.001 (0.002) Loss 1.7160 (1.6381) Prec@1 55.625 (55.948) Prec@5 83.125 (84.563) Epoch: [77][5540/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 1.5755 (1.6380) Prec@1 55.625 (55.946) Prec@5 86.250 (84.564) Epoch: [77][5550/11272] Time 0.844 (0.797) Data 0.001 (0.002) Loss 1.4783 (1.6379) Prec@1 57.500 (55.948) Prec@5 88.125 (84.566) Epoch: [77][5560/11272] Time 0.869 (0.797) Data 0.002 (0.002) Loss 1.7998 (1.6379) Prec@1 56.250 (55.949) Prec@5 81.250 (84.564) Epoch: [77][5570/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.8178 (1.6380) Prec@1 55.000 (55.947) Prec@5 80.000 (84.561) Epoch: [77][5580/11272] Time 0.720 (0.797) Data 0.001 (0.002) Loss 1.4867 (1.6381) Prec@1 56.250 (55.944) Prec@5 86.875 (84.561) Epoch: [77][5590/11272] Time 0.876 (0.797) Data 0.002 (0.002) Loss 1.6631 (1.6381) Prec@1 58.750 (55.942) Prec@5 82.500 (84.560) Epoch: [77][5600/11272] Time 0.811 (0.797) Data 0.001 (0.002) Loss 1.4320 (1.6381) Prec@1 58.750 (55.941) Prec@5 88.750 (84.560) Epoch: [77][5610/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 1.6284 (1.6381) Prec@1 60.625 (55.943) Prec@5 84.375 (84.560) Epoch: [77][5620/11272] Time 0.795 (0.797) Data 0.002 (0.002) Loss 1.7651 (1.6381) Prec@1 48.750 (55.942) Prec@5 81.875 (84.560) Epoch: [77][5630/11272] Time 0.882 (0.797) Data 0.002 (0.002) Loss 1.7122 (1.6381) Prec@1 58.125 (55.944) Prec@5 81.875 (84.559) Epoch: [77][5640/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 1.6447 (1.6382) Prec@1 54.375 (55.941) Prec@5 84.375 (84.559) Epoch: [77][5650/11272] Time 0.783 (0.797) Data 0.002 (0.002) Loss 1.4076 (1.6382) Prec@1 63.125 (55.942) Prec@5 89.375 (84.558) Epoch: [77][5660/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.8289 (1.6383) Prec@1 51.875 (55.939) Prec@5 83.750 (84.556) Epoch: [77][5670/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 1.6681 (1.6383) Prec@1 51.875 (55.939) Prec@5 81.250 (84.553) Epoch: [77][5680/11272] Time 0.733 (0.797) Data 0.002 (0.002) Loss 1.7079 (1.6383) Prec@1 53.125 (55.938) Prec@5 80.625 (84.552) Epoch: [77][5690/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.4723 (1.6383) Prec@1 58.750 (55.939) Prec@5 85.625 (84.552) Epoch: [77][5700/11272] Time 0.824 (0.797) Data 0.002 (0.002) Loss 1.4988 (1.6382) Prec@1 53.125 (55.940) Prec@5 90.000 (84.554) Epoch: [77][5710/11272] Time 0.803 (0.797) Data 0.001 (0.002) Loss 1.7202 (1.6383) Prec@1 53.750 (55.936) Prec@5 84.375 (84.554) Epoch: [77][5720/11272] Time 0.783 (0.797) Data 0.002 (0.002) Loss 1.7176 (1.6383) Prec@1 58.125 (55.937) Prec@5 86.250 (84.554) Epoch: [77][5730/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.5512 (1.6383) Prec@1 64.375 (55.938) Prec@5 85.625 (84.555) Epoch: [77][5740/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 1.7892 (1.6381) Prec@1 54.375 (55.938) Prec@5 80.000 (84.557) Epoch: [77][5750/11272] Time 0.839 (0.797) Data 0.002 (0.002) Loss 1.7000 (1.6382) Prec@1 53.750 (55.939) Prec@5 82.500 (84.556) Epoch: [77][5760/11272] Time 0.751 (0.797) Data 0.001 (0.002) Loss 1.7977 (1.6383) Prec@1 55.000 (55.935) Prec@5 80.000 (84.553) Epoch: [77][5770/11272] Time 0.769 (0.797) Data 0.002 (0.002) Loss 1.7942 (1.6383) Prec@1 48.125 (55.934) Prec@5 83.125 (84.553) Epoch: [77][5780/11272] Time 0.825 (0.797) Data 0.001 (0.002) Loss 1.7240 (1.6384) Prec@1 53.750 (55.933) Prec@5 83.750 (84.552) Epoch: [77][5790/11272] Time 0.746 (0.797) Data 0.001 (0.002) Loss 1.8042 (1.6385) Prec@1 50.625 (55.930) Prec@5 83.750 (84.551) Epoch: [77][5800/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 1.7785 (1.6384) Prec@1 50.000 (55.929) Prec@5 83.125 (84.554) Epoch: [77][5810/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.9787 (1.6386) Prec@1 46.875 (55.924) Prec@5 76.250 (84.551) Epoch: [77][5820/11272] Time 0.863 (0.797) Data 0.002 (0.002) Loss 1.7161 (1.6386) Prec@1 53.125 (55.923) Prec@5 84.375 (84.552) Epoch: [77][5830/11272] Time 0.715 (0.797) Data 0.002 (0.002) Loss 1.5886 (1.6386) Prec@1 60.625 (55.924) Prec@5 84.375 (84.551) Epoch: [77][5840/11272] Time 0.752 (0.797) Data 0.002 (0.002) Loss 1.7590 (1.6386) Prec@1 49.375 (55.924) Prec@5 85.625 (84.553) Epoch: [77][5850/11272] Time 0.862 (0.797) Data 0.002 (0.002) Loss 1.6908 (1.6386) Prec@1 55.000 (55.923) Prec@5 83.750 (84.553) Epoch: [77][5860/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.4414 (1.6387) Prec@1 63.125 (55.922) Prec@5 87.500 (84.553) Epoch: [77][5870/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.3052 (1.6385) Prec@1 61.875 (55.926) Prec@5 91.875 (84.557) Epoch: [77][5880/11272] Time 0.717 (0.797) Data 0.002 (0.002) Loss 1.8216 (1.6384) Prec@1 47.500 (55.926) Prec@5 85.625 (84.558) Epoch: [77][5890/11272] Time 0.891 (0.797) Data 0.002 (0.002) Loss 1.6432 (1.6384) Prec@1 53.125 (55.928) Prec@5 85.625 (84.559) Epoch: [77][5900/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.6442 (1.6384) Prec@1 56.250 (55.927) Prec@5 81.875 (84.558) Epoch: [77][5910/11272] Time 0.762 (0.797) Data 0.002 (0.002) Loss 1.5004 (1.6384) Prec@1 58.750 (55.927) Prec@5 85.625 (84.557) Epoch: [77][5920/11272] Time 0.857 (0.797) Data 0.001 (0.002) Loss 1.6873 (1.6384) Prec@1 51.875 (55.926) Prec@5 83.125 (84.558) Epoch: [77][5930/11272] Time 0.889 (0.797) Data 0.002 (0.002) Loss 1.5962 (1.6385) Prec@1 56.875 (55.923) Prec@5 88.125 (84.557) Epoch: [77][5940/11272] Time 0.734 (0.797) Data 0.001 (0.002) Loss 1.5127 (1.6384) Prec@1 56.250 (55.925) Prec@5 90.000 (84.559) Epoch: [77][5950/11272] Time 0.707 (0.797) Data 0.002 (0.002) Loss 1.5719 (1.6385) Prec@1 53.750 (55.925) Prec@5 84.375 (84.557) Epoch: [77][5960/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.5380 (1.6384) Prec@1 56.250 (55.926) Prec@5 84.375 (84.559) Epoch: [77][5970/11272] Time 0.820 (0.797) Data 0.001 (0.002) Loss 1.7058 (1.6385) Prec@1 55.625 (55.924) Prec@5 83.750 (84.559) Epoch: [77][5980/11272] Time 0.728 (0.797) Data 0.002 (0.002) Loss 1.7573 (1.6384) Prec@1 56.875 (55.927) Prec@5 82.500 (84.560) Epoch: [77][5990/11272] Time 0.764 (0.797) Data 0.001 (0.002) Loss 1.5736 (1.6385) Prec@1 56.250 (55.923) Prec@5 88.125 (84.559) Epoch: [77][6000/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.9410 (1.6386) Prec@1 45.625 (55.924) Prec@5 84.375 (84.559) Epoch: [77][6010/11272] Time 0.837 (0.797) Data 0.001 (0.002) Loss 1.6736 (1.6386) Prec@1 55.625 (55.924) Prec@5 85.000 (84.557) Epoch: [77][6020/11272] Time 0.756 (0.797) Data 0.002 (0.002) Loss 1.6118 (1.6387) Prec@1 56.875 (55.924) Prec@5 84.375 (84.556) Epoch: [77][6030/11272] Time 0.798 (0.797) Data 0.001 (0.002) Loss 1.7219 (1.6387) Prec@1 52.500 (55.925) Prec@5 82.500 (84.557) Epoch: [77][6040/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 1.6968 (1.6388) Prec@1 54.375 (55.920) Prec@5 80.625 (84.552) Epoch: [77][6050/11272] Time 0.720 (0.797) Data 0.003 (0.002) Loss 1.7823 (1.6388) Prec@1 50.000 (55.918) Prec@5 83.125 (84.553) Epoch: [77][6060/11272] Time 0.712 (0.797) Data 0.001 (0.002) Loss 1.7229 (1.6388) Prec@1 58.125 (55.921) Prec@5 80.000 (84.553) Epoch: [77][6070/11272] Time 0.843 (0.797) Data 0.002 (0.002) Loss 1.5408 (1.6388) Prec@1 57.500 (55.921) Prec@5 84.375 (84.553) Epoch: [77][6080/11272] Time 0.837 (0.797) Data 0.002 (0.002) Loss 1.5858 (1.6389) Prec@1 56.250 (55.920) Prec@5 85.000 (84.550) Epoch: [77][6090/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 1.4890 (1.6388) Prec@1 56.250 (55.921) Prec@5 91.250 (84.551) Epoch: [77][6100/11272] Time 0.717 (0.797) Data 0.001 (0.002) Loss 1.7242 (1.6388) Prec@1 51.250 (55.921) Prec@5 81.875 (84.551) Epoch: [77][6110/11272] Time 0.831 (0.797) Data 0.001 (0.002) Loss 1.5559 (1.6388) Prec@1 56.875 (55.922) Prec@5 87.500 (84.549) Epoch: [77][6120/11272] Time 0.820 (0.797) Data 0.002 (0.002) Loss 1.4537 (1.6388) Prec@1 58.125 (55.920) Prec@5 85.625 (84.550) Epoch: [77][6130/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.7649 (1.6387) Prec@1 52.500 (55.921) Prec@5 84.375 (84.553) Epoch: [77][6140/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.5942 (1.6387) Prec@1 53.750 (55.922) Prec@5 88.125 (84.552) Epoch: [77][6150/11272] Time 0.886 (0.797) Data 0.001 (0.002) Loss 1.6511 (1.6388) Prec@1 58.125 (55.921) Prec@5 86.250 (84.551) Epoch: [77][6160/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.5166 (1.6387) Prec@1 56.875 (55.924) Prec@5 84.375 (84.551) Epoch: [77][6170/11272] Time 0.729 (0.797) Data 0.001 (0.002) Loss 1.4732 (1.6386) Prec@1 65.625 (55.926) Prec@5 83.750 (84.553) Epoch: [77][6180/11272] Time 0.816 (0.797) Data 0.001 (0.002) Loss 1.5701 (1.6387) Prec@1 55.000 (55.924) Prec@5 83.125 (84.552) Epoch: [77][6190/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 1.7227 (1.6386) Prec@1 53.750 (55.925) Prec@5 84.375 (84.554) Epoch: [77][6200/11272] Time 0.733 (0.797) Data 0.001 (0.002) Loss 1.6842 (1.6387) Prec@1 54.375 (55.925) Prec@5 84.375 (84.553) Epoch: [77][6210/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.6304 (1.6387) Prec@1 60.000 (55.925) Prec@5 84.375 (84.554) Epoch: [77][6220/11272] Time 0.818 (0.797) Data 0.001 (0.002) Loss 1.6227 (1.6387) Prec@1 50.625 (55.926) Prec@5 86.250 (84.554) Epoch: [77][6230/11272] Time 0.855 (0.797) Data 0.001 (0.002) Loss 1.5385 (1.6388) Prec@1 60.625 (55.925) Prec@5 86.250 (84.552) Epoch: [77][6240/11272] Time 0.704 (0.797) Data 0.002 (0.002) Loss 1.8529 (1.6387) Prec@1 50.000 (55.924) Prec@5 80.625 (84.552) Epoch: [77][6250/11272] Time 0.787 (0.797) Data 0.002 (0.002) Loss 1.4707 (1.6388) Prec@1 57.500 (55.922) Prec@5 88.125 (84.549) Epoch: [77][6260/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 1.8110 (1.6389) Prec@1 53.125 (55.920) Prec@5 78.750 (84.548) Epoch: [77][6270/11272] Time 0.794 (0.797) Data 0.001 (0.002) Loss 1.7000 (1.6390) Prec@1 53.125 (55.918) Prec@5 86.250 (84.548) Epoch: [77][6280/11272] Time 0.721 (0.797) Data 0.001 (0.002) Loss 1.4116 (1.6389) Prec@1 63.750 (55.919) Prec@5 89.375 (84.549) Epoch: [77][6290/11272] Time 0.759 (0.797) Data 0.002 (0.002) Loss 1.8699 (1.6390) Prec@1 51.875 (55.917) Prec@5 83.125 (84.549) Epoch: [77][6300/11272] Time 0.878 (0.797) Data 0.002 (0.002) Loss 1.6417 (1.6390) Prec@1 58.750 (55.918) Prec@5 84.375 (84.549) Epoch: [77][6310/11272] Time 0.725 (0.797) Data 0.004 (0.002) Loss 1.6301 (1.6392) Prec@1 58.750 (55.915) Prec@5 85.000 (84.545) Epoch: [77][6320/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.6570 (1.6393) Prec@1 53.750 (55.911) Prec@5 83.750 (84.543) Epoch: [77][6330/11272] Time 0.834 (0.797) Data 0.001 (0.002) Loss 1.7882 (1.6393) Prec@1 50.625 (55.912) Prec@5 85.625 (84.545) Epoch: [77][6340/11272] Time 0.871 (0.797) Data 0.002 (0.002) Loss 1.6527 (1.6393) Prec@1 56.250 (55.912) Prec@5 86.250 (84.546) Epoch: [77][6350/11272] Time 0.732 (0.797) Data 0.002 (0.002) Loss 1.5293 (1.6394) Prec@1 58.125 (55.909) Prec@5 88.125 (84.546) Epoch: [77][6360/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 1.8627 (1.6395) Prec@1 54.375 (55.908) Prec@5 80.000 (84.543) Epoch: [77][6370/11272] Time 0.916 (0.797) Data 0.001 (0.002) Loss 1.4226 (1.6394) Prec@1 61.875 (55.911) Prec@5 87.500 (84.546) Epoch: [77][6380/11272] Time 0.805 (0.797) Data 0.001 (0.002) Loss 1.6649 (1.6395) Prec@1 55.000 (55.909) Prec@5 86.875 (84.545) Epoch: [77][6390/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.5481 (1.6394) Prec@1 60.000 (55.910) Prec@5 85.625 (84.546) Epoch: [77][6400/11272] Time 0.737 (0.797) Data 0.001 (0.002) Loss 1.5669 (1.6394) Prec@1 56.250 (55.908) Prec@5 89.375 (84.547) Epoch: [77][6410/11272] Time 0.841 (0.797) Data 0.001 (0.002) Loss 1.6775 (1.6394) Prec@1 52.500 (55.908) Prec@5 86.875 (84.550) Epoch: [77][6420/11272] Time 0.807 (0.797) Data 0.001 (0.002) Loss 1.6937 (1.6395) Prec@1 56.250 (55.905) Prec@5 82.500 (84.549) Epoch: [77][6430/11272] Time 0.711 (0.797) Data 0.001 (0.002) Loss 1.7422 (1.6395) Prec@1 52.500 (55.905) Prec@5 81.250 (84.548) Epoch: [77][6440/11272] Time 0.846 (0.797) Data 0.001 (0.002) Loss 1.5367 (1.6395) Prec@1 62.500 (55.907) Prec@5 86.250 (84.547) Epoch: [77][6450/11272] Time 0.830 (0.797) Data 0.002 (0.002) Loss 1.5898 (1.6396) Prec@1 56.250 (55.904) Prec@5 86.875 (84.547) Epoch: [77][6460/11272] Time 0.727 (0.797) Data 0.001 (0.002) Loss 1.6240 (1.6395) Prec@1 53.750 (55.904) Prec@5 84.375 (84.547) Epoch: [77][6470/11272] Time 0.772 (0.797) Data 0.002 (0.002) Loss 1.7129 (1.6396) Prec@1 56.250 (55.902) Prec@5 81.250 (84.545) Epoch: [77][6480/11272] Time 0.864 (0.797) Data 0.003 (0.002) Loss 1.7088 (1.6396) Prec@1 50.000 (55.903) Prec@5 83.750 (84.545) Epoch: [77][6490/11272] Time 0.855 (0.797) Data 0.001 (0.002) Loss 1.8313 (1.6397) Prec@1 51.250 (55.902) Prec@5 81.250 (84.543) Epoch: [77][6500/11272] Time 0.750 (0.797) Data 0.002 (0.002) Loss 1.5743 (1.6397) Prec@1 54.375 (55.901) Prec@5 86.250 (84.541) Epoch: [77][6510/11272] Time 0.706 (0.797) Data 0.002 (0.002) Loss 1.4133 (1.6397) Prec@1 60.625 (55.901) Prec@5 90.000 (84.541) Epoch: [77][6520/11272] Time 0.857 (0.797) Data 0.002 (0.002) Loss 1.8105 (1.6398) Prec@1 49.375 (55.899) Prec@5 81.250 (84.539) Epoch: [77][6530/11272] Time 0.963 (0.797) Data 0.002 (0.002) Loss 1.7744 (1.6399) Prec@1 50.625 (55.897) Prec@5 82.500 (84.538) Epoch: [77][6540/11272] Time 0.773 (0.797) Data 0.002 (0.002) Loss 1.6529 (1.6400) Prec@1 55.625 (55.896) Prec@5 85.000 (84.536) Epoch: [77][6550/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.6577 (1.6400) Prec@1 56.250 (55.895) Prec@5 86.250 (84.536) Epoch: [77][6560/11272] Time 0.845 (0.797) Data 0.001 (0.002) Loss 1.7170 (1.6400) Prec@1 51.250 (55.897) Prec@5 85.000 (84.537) Epoch: [77][6570/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.6389 (1.6400) Prec@1 59.375 (55.895) Prec@5 83.750 (84.538) Epoch: [77][6580/11272] Time 0.760 (0.797) Data 0.002 (0.002) Loss 1.5170 (1.6401) Prec@1 62.500 (55.895) Prec@5 86.250 (84.536) Epoch: [77][6590/11272] Time 0.888 (0.797) Data 0.001 (0.002) Loss 1.7257 (1.6401) Prec@1 53.750 (55.894) Prec@5 84.375 (84.538) Epoch: [77][6600/11272] Time 0.835 (0.797) Data 0.001 (0.002) Loss 1.5444 (1.6400) Prec@1 55.625 (55.895) Prec@5 89.375 (84.539) Epoch: [77][6610/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.5449 (1.6400) Prec@1 58.750 (55.895) Prec@5 85.625 (84.538) Epoch: [77][6620/11272] Time 0.738 (0.797) Data 0.001 (0.002) Loss 1.9364 (1.6400) Prec@1 50.000 (55.896) Prec@5 78.125 (84.537) Epoch: [77][6630/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 1.5779 (1.6401) Prec@1 59.375 (55.894) Prec@5 85.000 (84.535) Epoch: [77][6640/11272] Time 0.804 (0.797) Data 0.001 (0.002) Loss 1.6332 (1.6402) Prec@1 56.250 (55.893) Prec@5 85.000 (84.534) Epoch: [77][6650/11272] Time 0.711 (0.797) Data 0.002 (0.002) Loss 1.4267 (1.6402) Prec@1 60.625 (55.893) Prec@5 87.500 (84.534) Epoch: [77][6660/11272] Time 0.729 (0.797) Data 0.002 (0.002) Loss 1.5111 (1.6403) Prec@1 58.750 (55.891) Prec@5 88.750 (84.533) Epoch: [77][6670/11272] Time 0.848 (0.797) Data 0.002 (0.002) Loss 1.7851 (1.6404) Prec@1 50.000 (55.888) Prec@5 83.750 (84.530) Epoch: [77][6680/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.6709 (1.6405) Prec@1 58.125 (55.887) Prec@5 81.250 (84.530) Epoch: [77][6690/11272] Time 0.714 (0.797) Data 0.001 (0.002) Loss 1.4354 (1.6405) Prec@1 63.750 (55.885) Prec@5 88.750 (84.531) Epoch: [77][6700/11272] Time 0.758 (0.797) Data 0.002 (0.002) Loss 1.6997 (1.6406) Prec@1 55.000 (55.883) Prec@5 83.750 (84.532) Epoch: [77][6710/11272] Time 0.833 (0.797) Data 0.002 (0.002) Loss 1.6884 (1.6406) Prec@1 53.125 (55.883) Prec@5 85.000 (84.530) Epoch: [77][6720/11272] Time 0.734 (0.797) Data 0.002 (0.002) Loss 1.6595 (1.6405) Prec@1 61.875 (55.887) Prec@5 81.875 (84.530) Epoch: [77][6730/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.5874 (1.6405) Prec@1 63.125 (55.888) Prec@5 83.750 (84.530) Epoch: [77][6740/11272] Time 0.823 (0.797) Data 0.001 (0.002) Loss 1.4015 (1.6404) Prec@1 60.625 (55.889) Prec@5 88.750 (84.532) Epoch: [77][6750/11272] Time 0.843 (0.797) Data 0.001 (0.002) Loss 1.6247 (1.6403) Prec@1 58.125 (55.889) Prec@5 81.875 (84.532) Epoch: [77][6760/11272] Time 0.711 (0.797) Data 0.002 (0.002) Loss 1.4217 (1.6404) Prec@1 60.000 (55.888) Prec@5 89.375 (84.532) Epoch: [77][6770/11272] Time 0.739 (0.797) Data 0.002 (0.002) Loss 1.7873 (1.6404) Prec@1 50.625 (55.887) Prec@5 81.875 (84.531) Epoch: [77][6780/11272] Time 0.797 (0.797) Data 0.002 (0.002) Loss 1.8194 (1.6404) Prec@1 50.000 (55.889) Prec@5 82.500 (84.531) Epoch: [77][6790/11272] Time 0.823 (0.797) Data 0.002 (0.002) Loss 1.4163 (1.6404) Prec@1 60.625 (55.887) Prec@5 84.375 (84.530) Epoch: [77][6800/11272] Time 0.708 (0.797) Data 0.001 (0.002) Loss 1.7514 (1.6404) Prec@1 50.625 (55.886) Prec@5 83.750 (84.530) Epoch: [77][6810/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.5047 (1.6404) Prec@1 56.875 (55.887) Prec@5 86.250 (84.531) Epoch: [77][6820/11272] Time 0.822 (0.797) Data 0.002 (0.002) Loss 1.7359 (1.6404) Prec@1 56.250 (55.886) Prec@5 83.750 (84.531) Epoch: [77][6830/11272] Time 0.842 (0.797) Data 0.002 (0.002) Loss 1.3450 (1.6403) Prec@1 63.750 (55.889) Prec@5 86.875 (84.532) Epoch: [77][6840/11272] Time 0.730 (0.797) Data 0.001 (0.002) Loss 1.7247 (1.6404) Prec@1 56.250 (55.887) Prec@5 85.000 (84.533) Epoch: [77][6850/11272] Time 0.812 (0.797) Data 0.001 (0.002) Loss 1.6336 (1.6404) Prec@1 51.875 (55.885) Prec@5 89.375 (84.535) Epoch: [77][6860/11272] Time 0.828 (0.797) Data 0.002 (0.002) Loss 1.3327 (1.6404) Prec@1 60.625 (55.886) Prec@5 88.750 (84.537) Epoch: [77][6870/11272] Time 0.732 (0.797) Data 0.001 (0.002) Loss 1.6097 (1.6404) Prec@1 59.375 (55.883) Prec@5 83.750 (84.535) Epoch: [77][6880/11272] Time 0.719 (0.797) Data 0.002 (0.002) Loss 1.5059 (1.6404) Prec@1 61.875 (55.885) Prec@5 86.250 (84.535) Epoch: [77][6890/11272] Time 0.840 (0.797) Data 0.002 (0.002) Loss 1.8881 (1.6405) Prec@1 51.250 (55.882) Prec@5 80.625 (84.534) Epoch: [77][6900/11272] Time 0.867 (0.797) Data 0.003 (0.002) Loss 1.7426 (1.6406) Prec@1 55.625 (55.880) Prec@5 84.375 (84.534) Epoch: [77][6910/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.6140 (1.6406) Prec@1 53.750 (55.879) Prec@5 85.000 (84.534) Epoch: [77][6920/11272] Time 0.707 (0.797) Data 0.001 (0.002) Loss 1.5396 (1.6407) Prec@1 60.625 (55.877) Prec@5 83.750 (84.532) Epoch: [77][6930/11272] Time 0.847 (0.797) Data 0.001 (0.002) Loss 1.4827 (1.6407) Prec@1 56.875 (55.877) Prec@5 83.125 (84.533) Epoch: [77][6940/11272] Time 0.881 (0.797) Data 0.002 (0.002) Loss 1.6825 (1.6407) Prec@1 57.500 (55.877) Prec@5 81.875 (84.531) Epoch: [77][6950/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.6424 (1.6408) Prec@1 57.500 (55.875) Prec@5 84.375 (84.530) Epoch: [77][6960/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 1.6949 (1.6407) Prec@1 53.125 (55.879) Prec@5 86.250 (84.531) Epoch: [77][6970/11272] Time 0.873 (0.797) Data 0.002 (0.002) Loss 1.5880 (1.6407) Prec@1 60.000 (55.880) Prec@5 85.625 (84.531) Epoch: [77][6980/11272] Time 0.730 (0.797) Data 0.003 (0.002) Loss 1.8488 (1.6409) Prec@1 51.875 (55.876) Prec@5 78.750 (84.528) Epoch: [77][6990/11272] Time 0.743 (0.797) Data 0.002 (0.002) Loss 1.8576 (1.6409) Prec@1 48.750 (55.874) Prec@5 79.375 (84.528) Epoch: [77][7000/11272] Time 0.862 (0.797) Data 0.001 (0.002) Loss 1.5867 (1.6409) Prec@1 56.250 (55.874) Prec@5 83.750 (84.527) Epoch: [77][7010/11272] Time 0.836 (0.797) Data 0.002 (0.002) Loss 1.4835 (1.6409) Prec@1 62.500 (55.874) Prec@5 86.875 (84.526) Epoch: [77][7020/11272] Time 0.765 (0.797) Data 0.002 (0.002) Loss 1.4726 (1.6410) Prec@1 57.500 (55.872) Prec@5 86.875 (84.525) Epoch: [77][7030/11272] Time 0.710 (0.797) Data 0.001 (0.002) Loss 1.5740 (1.6410) Prec@1 55.625 (55.870) Prec@5 81.875 (84.523) Epoch: [77][7040/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.2741 (1.6410) Prec@1 67.500 (55.873) Prec@5 90.000 (84.524) Epoch: [77][7050/11272] Time 0.844 (0.797) Data 0.002 (0.002) Loss 1.8125 (1.6410) Prec@1 52.500 (55.870) Prec@5 80.000 (84.523) Epoch: [77][7060/11272] Time 0.761 (0.797) Data 0.002 (0.002) Loss 2.1135 (1.6413) Prec@1 44.375 (55.868) Prec@5 75.625 (84.519) Epoch: [77][7070/11272] Time 0.726 (0.797) Data 0.002 (0.002) Loss 1.7382 (1.6413) Prec@1 53.125 (55.867) Prec@5 85.000 (84.517) Epoch: [77][7080/11272] Time 0.814 (0.797) Data 0.002 (0.002) Loss 1.6494 (1.6414) Prec@1 55.000 (55.865) Prec@5 80.000 (84.515) Epoch: [77][7090/11272] Time 0.803 (0.797) Data 0.002 (0.002) Loss 1.5334 (1.6413) Prec@1 58.750 (55.867) Prec@5 86.875 (84.517) Epoch: [77][7100/11272] Time 0.747 (0.797) Data 0.002 (0.002) Loss 1.4904 (1.6412) Prec@1 60.625 (55.867) Prec@5 86.250 (84.519) Epoch: [77][7110/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 1.6659 (1.6412) Prec@1 55.625 (55.869) Prec@5 86.250 (84.519) Epoch: [77][7120/11272] Time 0.805 (0.797) Data 0.001 (0.002) Loss 1.6184 (1.6412) Prec@1 59.375 (55.868) Prec@5 83.125 (84.518) Epoch: [77][7130/11272] Time 0.735 (0.797) Data 0.001 (0.002) Loss 1.6606 (1.6411) Prec@1 53.125 (55.869) Prec@5 85.000 (84.520) Epoch: [77][7140/11272] Time 0.757 (0.797) Data 0.001 (0.002) Loss 1.7527 (1.6412) Prec@1 53.125 (55.867) Prec@5 83.125 (84.520) Epoch: [77][7150/11272] Time 0.827 (0.797) Data 0.001 (0.002) Loss 1.5580 (1.6412) Prec@1 58.125 (55.867) Prec@5 85.625 (84.520) Epoch: [77][7160/11272] Time 0.838 (0.797) Data 0.001 (0.002) Loss 1.7182 (1.6412) Prec@1 59.375 (55.868) Prec@5 85.000 (84.519) Epoch: [77][7170/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.7881 (1.6412) Prec@1 49.375 (55.866) Prec@5 83.125 (84.519) Epoch: [77][7180/11272] Time 0.741 (0.797) Data 0.001 (0.002) Loss 1.6027 (1.6413) Prec@1 56.250 (55.864) Prec@5 88.750 (84.518) Epoch: [77][7190/11272] Time 0.851 (0.797) Data 0.002 (0.002) Loss 1.6881 (1.6412) Prec@1 52.500 (55.864) Prec@5 84.375 (84.519) Epoch: [77][7200/11272] Time 0.840 (0.797) Data 0.001 (0.002) Loss 1.6664 (1.6411) Prec@1 51.875 (55.865) Prec@5 86.250 (84.522) Epoch: [77][7210/11272] Time 0.779 (0.797) Data 0.001 (0.002) Loss 1.7046 (1.6412) Prec@1 50.625 (55.861) Prec@5 85.000 (84.521) Epoch: [77][7220/11272] Time 0.771 (0.797) Data 0.002 (0.002) Loss 1.4597 (1.6411) Prec@1 63.125 (55.862) Prec@5 85.625 (84.522) Epoch: [77][7230/11272] Time 0.904 (0.797) Data 0.002 (0.002) Loss 1.7271 (1.6411) Prec@1 50.625 (55.863) Prec@5 83.750 (84.523) Epoch: [77][7240/11272] Time 0.785 (0.797) Data 0.004 (0.002) Loss 1.6929 (1.6412) Prec@1 54.375 (55.860) Prec@5 85.000 (84.521) Epoch: [77][7250/11272] Time 0.748 (0.797) Data 0.002 (0.002) Loss 1.7715 (1.6413) Prec@1 51.250 (55.858) Prec@5 84.375 (84.520) Epoch: [77][7260/11272] Time 0.902 (0.797) Data 0.002 (0.002) Loss 1.5287 (1.6413) Prec@1 58.750 (55.857) Prec@5 85.000 (84.519) Epoch: [77][7270/11272] Time 0.877 (0.797) Data 0.002 (0.002) Loss 1.7193 (1.6413) Prec@1 57.500 (55.859) Prec@5 81.875 (84.516) Epoch: [77][7280/11272] Time 0.742 (0.797) Data 0.002 (0.002) Loss 1.7082 (1.6413) Prec@1 55.000 (55.860) Prec@5 84.375 (84.516) Epoch: [77][7290/11272] Time 0.749 (0.797) Data 0.002 (0.002) Loss 1.8480 (1.6413) Prec@1 55.000 (55.861) Prec@5 80.000 (84.518) Epoch: [77][7300/11272] Time 0.846 (0.797) Data 0.002 (0.002) Loss 1.7808 (1.6414) Prec@1 53.750 (55.858) Prec@5 82.500 (84.517) Epoch: [77][7310/11272] Time 0.885 (0.797) Data 0.002 (0.002) Loss 1.9039 (1.6414) Prec@1 46.875 (55.857) Prec@5 80.000 (84.518) Epoch: [77][7320/11272] Time 0.740 (0.797) Data 0.002 (0.002) Loss 1.6346 (1.6413) Prec@1 50.625 (55.858) Prec@5 87.500 (84.519) Epoch: [77][7330/11272] Time 0.809 (0.797) Data 0.002 (0.002) Loss 1.4232 (1.6413) Prec@1 60.625 (55.859) Prec@5 86.875 (84.520) Epoch: [77][7340/11272] Time 0.901 (0.797) Data 0.002 (0.002) Loss 1.7479 (1.6413) Prec@1 51.875 (55.859) Prec@5 80.625 (84.519) Epoch: [77][7350/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 1.8070 (1.6414) Prec@1 53.750 (55.857) Prec@5 82.500 (84.519) Epoch: [77][7360/11272] Time 0.707 (0.797) Data 0.001 (0.002) Loss 1.7815 (1.6414) Prec@1 57.500 (55.857) Prec@5 83.125 (84.518) Epoch: [77][7370/11272] Time 0.931 (0.797) Data 0.002 (0.002) Loss 1.6597 (1.6415) Prec@1 56.250 (55.857) Prec@5 85.000 (84.520) Epoch: [77][7380/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 1.7268 (1.6415) Prec@1 55.000 (55.856) Prec@5 82.500 (84.519) Epoch: [77][7390/11272] Time 0.773 (0.797) Data 0.001 (0.002) Loss 1.7987 (1.6414) Prec@1 51.250 (55.857) Prec@5 83.125 (84.520) Epoch: [77][7400/11272] Time 0.757 (0.797) Data 0.002 (0.002) Loss 1.6099 (1.6415) Prec@1 51.875 (55.857) Prec@5 86.250 (84.519) Epoch: [77][7410/11272] Time 0.953 (0.797) Data 0.002 (0.002) Loss 1.5616 (1.6415) Prec@1 63.125 (55.856) Prec@5 85.625 (84.518) Epoch: [77][7420/11272] Time 0.850 (0.797) Data 0.002 (0.002) Loss 1.6625 (1.6415) Prec@1 55.000 (55.856) Prec@5 82.500 (84.517) Epoch: [77][7430/11272] Time 0.776 (0.797) Data 0.002 (0.002) Loss 1.5855 (1.6416) Prec@1 57.500 (55.855) Prec@5 86.875 (84.518) Epoch: [77][7440/11272] Time 0.737 (0.797) Data 0.002 (0.002) Loss 1.6438 (1.6415) Prec@1 61.250 (55.858) Prec@5 85.000 (84.520) Epoch: [77][7450/11272] Time 0.875 (0.797) Data 0.002 (0.002) Loss 1.6648 (1.6415) Prec@1 55.000 (55.857) Prec@5 84.375 (84.520) Epoch: [77][7460/11272] Time 0.920 (0.797) Data 0.002 (0.002) Loss 1.5422 (1.6416) Prec@1 58.125 (55.854) Prec@5 83.750 (84.517) Epoch: [77][7470/11272] Time 0.735 (0.797) Data 0.002 (0.002) Loss 1.7361 (1.6415) Prec@1 51.250 (55.854) Prec@5 83.125 (84.518) Epoch: [77][7480/11272] Time 0.746 (0.797) Data 0.002 (0.002) Loss 1.9184 (1.6415) Prec@1 53.125 (55.856) Prec@5 77.500 (84.519) Epoch: [77][7490/11272] Time 0.894 (0.797) Data 0.002 (0.002) Loss 1.5954 (1.6414) Prec@1 56.250 (55.859) Prec@5 86.875 (84.521) Epoch: [77][7500/11272] Time 0.867 (0.797) Data 0.002 (0.002) Loss 1.6500 (1.6415) Prec@1 59.375 (55.858) Prec@5 83.125 (84.518) Epoch: [77][7510/11272] Time 0.727 (0.797) Data 0.002 (0.002) Loss 1.8088 (1.6415) Prec@1 49.375 (55.857) Prec@5 81.875 (84.518) Epoch: [77][7520/11272] Time 0.879 (0.797) Data 0.002 (0.002) Loss 1.8971 (1.6416) Prec@1 56.250 (55.856) Prec@5 80.625 (84.518) Epoch: [77][7530/11272] Time 0.852 (0.797) Data 0.002 (0.002) Loss 1.9272 (1.6417) Prec@1 48.125 (55.855) Prec@5 76.250 (84.516) Epoch: [77][7540/11272] Time 0.720 (0.797) Data 0.002 (0.002) Loss 1.4753 (1.6416) Prec@1 58.750 (55.856) Prec@5 86.875 (84.518) Epoch: [77][7550/11272] Time 0.775 (0.797) Data 0.001 (0.002) Loss 1.4796 (1.6417) Prec@1 61.875 (55.855) Prec@5 87.500 (84.516) Epoch: [77][7560/11272] Time 0.915 (0.797) Data 0.001 (0.002) Loss 1.4152 (1.6417) Prec@1 63.750 (55.856) Prec@5 87.500 (84.517) Epoch: [77][7570/11272] Time 0.874 (0.797) Data 0.002 (0.002) Loss 1.6963 (1.6417) Prec@1 56.875 (55.858) Prec@5 81.875 (84.516) Epoch: [77][7580/11272] Time 0.724 (0.797) Data 0.002 (0.002) Loss 1.8055 (1.6418) Prec@1 50.625 (55.855) Prec@5 80.000 (84.515) Epoch: [77][7590/11272] Time 0.747 (0.797) Data 0.001 (0.002) Loss 1.6625 (1.6418) Prec@1 55.625 (55.853) Prec@5 83.750 (84.515) Epoch: [77][7600/11272] Time 0.968 (0.798) Data 0.002 (0.002) Loss 1.6584 (1.6418) Prec@1 55.000 (55.855) Prec@5 83.125 (84.515) Epoch: [77][7610/11272] Time 0.847 (0.798) Data 0.002 (0.002) Loss 1.5044 (1.6418) Prec@1 56.875 (55.854) Prec@5 88.750 (84.514) Epoch: [77][7620/11272] Time 0.751 (0.798) Data 0.002 (0.002) Loss 1.9325 (1.6418) Prec@1 45.000 (55.855) Prec@5 78.750 (84.514) Epoch: [77][7630/11272] Time 0.747 (0.798) Data 0.002 (0.002) Loss 1.5201 (1.6418) Prec@1 60.000 (55.855) Prec@5 86.875 (84.515) Epoch: [77][7640/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.7567 (1.6417) Prec@1 54.375 (55.854) Prec@5 81.250 (84.515) Epoch: [77][7650/11272] Time 0.722 (0.798) Data 0.002 (0.002) Loss 1.5759 (1.6417) Prec@1 56.875 (55.855) Prec@5 86.250 (84.514) Epoch: [77][7660/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.6159 (1.6417) Prec@1 52.500 (55.855) Prec@5 86.875 (84.514) Epoch: [77][7670/11272] Time 0.893 (0.798) Data 0.002 (0.002) Loss 1.5615 (1.6417) Prec@1 58.750 (55.855) Prec@5 84.375 (84.514) Epoch: [77][7680/11272] Time 0.886 (0.798) Data 0.002 (0.002) Loss 1.6834 (1.6418) Prec@1 53.750 (55.853) Prec@5 81.875 (84.511) Epoch: [77][7690/11272] Time 0.728 (0.798) Data 0.002 (0.002) Loss 1.6203 (1.6418) Prec@1 56.250 (55.852) Prec@5 87.500 (84.511) Epoch: [77][7700/11272] Time 0.793 (0.798) Data 0.002 (0.002) Loss 1.6227 (1.6418) Prec@1 57.500 (55.852) Prec@5 83.750 (84.511) Epoch: [77][7710/11272] Time 0.906 (0.798) Data 0.002 (0.002) Loss 1.5339 (1.6417) Prec@1 60.625 (55.855) Prec@5 81.250 (84.511) Epoch: [77][7720/11272] Time 0.908 (0.798) Data 0.002 (0.002) Loss 1.7608 (1.6416) Prec@1 53.125 (55.857) Prec@5 86.875 (84.513) Epoch: [77][7730/11272] Time 0.733 (0.798) Data 0.002 (0.002) Loss 1.6424 (1.6417) Prec@1 55.000 (55.858) Prec@5 84.375 (84.512) Epoch: [77][7740/11272] Time 0.713 (0.798) Data 0.002 (0.002) Loss 1.6381 (1.6418) Prec@1 56.875 (55.855) Prec@5 85.625 (84.510) Epoch: [77][7750/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 1.6448 (1.6418) Prec@1 56.875 (55.855) Prec@5 88.750 (84.510) Epoch: [77][7760/11272] Time 0.834 (0.798) Data 0.001 (0.002) Loss 1.8191 (1.6418) Prec@1 55.625 (55.857) Prec@5 79.375 (84.511) Epoch: [77][7770/11272] Time 0.762 (0.798) Data 0.002 (0.002) Loss 1.7894 (1.6418) Prec@1 52.500 (55.856) Prec@5 81.875 (84.510) Epoch: [77][7780/11272] Time 0.850 (0.798) Data 0.002 (0.002) Loss 1.8099 (1.6417) Prec@1 47.500 (55.857) Prec@5 81.875 (84.511) Epoch: [77][7790/11272] Time 0.958 (0.798) Data 0.002 (0.002) Loss 1.6430 (1.6418) Prec@1 58.750 (55.856) Prec@5 85.625 (84.510) Epoch: [77][7800/11272] Time 0.732 (0.798) Data 0.002 (0.002) Loss 1.6249 (1.6418) Prec@1 54.375 (55.854) Prec@5 85.000 (84.511) Epoch: [77][7810/11272] Time 0.766 (0.798) Data 0.002 (0.002) Loss 1.3600 (1.6418) Prec@1 58.125 (55.853) Prec@5 87.500 (84.509) Epoch: [77][7820/11272] Time 0.844 (0.798) Data 0.002 (0.002) Loss 1.8027 (1.6419) Prec@1 50.625 (55.852) Prec@5 81.250 (84.507) Epoch: [77][7830/11272] Time 0.885 (0.798) Data 0.002 (0.002) Loss 1.5382 (1.6420) Prec@1 58.750 (55.851) Prec@5 86.875 (84.507) Epoch: [77][7840/11272] Time 0.753 (0.798) Data 0.002 (0.002) Loss 1.5936 (1.6420) Prec@1 60.625 (55.852) Prec@5 84.375 (84.505) Epoch: [77][7850/11272] Time 0.740 (0.798) Data 0.001 (0.002) Loss 1.5754 (1.6420) Prec@1 58.750 (55.854) Prec@5 83.750 (84.505) Epoch: [77][7860/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.5872 (1.6420) Prec@1 54.375 (55.854) Prec@5 87.500 (84.507) Epoch: [77][7870/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.3250 (1.6420) Prec@1 63.125 (55.854) Prec@5 89.375 (84.507) Epoch: [77][7880/11272] Time 0.737 (0.798) Data 0.002 (0.002) Loss 1.7224 (1.6421) Prec@1 58.750 (55.854) Prec@5 82.500 (84.506) Epoch: [77][7890/11272] Time 0.735 (0.798) Data 0.001 (0.002) Loss 1.6129 (1.6421) Prec@1 55.000 (55.853) Prec@5 83.750 (84.503) Epoch: [77][7900/11272] Time 0.877 (0.798) Data 0.002 (0.002) Loss 1.5767 (1.6422) Prec@1 56.875 (55.853) Prec@5 90.625 (84.504) Epoch: [77][7910/11272] Time 0.738 (0.798) Data 0.003 (0.002) Loss 1.7597 (1.6422) Prec@1 51.875 (55.853) Prec@5 81.250 (84.504) Epoch: [77][7920/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 1.8078 (1.6422) Prec@1 52.500 (55.852) Prec@5 79.375 (84.502) Epoch: [77][7930/11272] Time 0.945 (0.798) Data 0.002 (0.002) Loss 1.7294 (1.6422) Prec@1 53.125 (55.853) Prec@5 82.500 (84.503) Epoch: [77][7940/11272] Time 0.881 (0.798) Data 0.002 (0.002) Loss 1.6563 (1.6422) Prec@1 52.500 (55.853) Prec@5 88.125 (84.503) Epoch: [77][7950/11272] Time 0.731 (0.798) Data 0.002 (0.002) Loss 1.7603 (1.6422) Prec@1 50.625 (55.852) Prec@5 80.625 (84.503) Epoch: [77][7960/11272] Time 0.752 (0.798) Data 0.002 (0.002) Loss 1.4980 (1.6421) Prec@1 63.125 (55.853) Prec@5 83.750 (84.504) Epoch: [77][7970/11272] Time 0.853 (0.798) Data 0.002 (0.002) Loss 1.7944 (1.6422) Prec@1 53.750 (55.850) Prec@5 79.375 (84.502) Epoch: [77][7980/11272] Time 0.876 (0.798) Data 0.002 (0.002) Loss 1.7599 (1.6423) Prec@1 52.500 (55.847) Prec@5 84.375 (84.502) Epoch: [77][7990/11272] Time 0.723 (0.798) Data 0.002 (0.002) Loss 1.6467 (1.6422) Prec@1 59.375 (55.849) Prec@5 85.625 (84.502) Epoch: [77][8000/11272] Time 0.802 (0.798) Data 0.003 (0.002) Loss 1.5093 (1.6422) Prec@1 59.375 (55.850) Prec@5 86.250 (84.503) Epoch: [77][8010/11272] Time 0.865 (0.798) Data 0.002 (0.002) Loss 1.9719 (1.6421) Prec@1 47.500 (55.851) Prec@5 80.000 (84.504) Epoch: [77][8020/11272] Time 0.848 (0.798) Data 0.002 (0.002) Loss 1.7740 (1.6422) Prec@1 53.750 (55.851) Prec@5 83.750 (84.504) Epoch: [77][8030/11272] Time 0.776 (0.798) Data 0.002 (0.002) Loss 1.5092 (1.6421) Prec@1 58.125 (55.852) Prec@5 90.625 (84.506) Epoch: [77][8040/11272] Time 0.888 (0.798) Data 0.004 (0.002) Loss 1.7017 (1.6420) Prec@1 56.875 (55.855) Prec@5 84.375 (84.506) Epoch: [77][8050/11272] Time 0.857 (0.798) Data 0.002 (0.002) Loss 1.6323 (1.6420) Prec@1 56.250 (55.854) Prec@5 85.625 (84.507) Epoch: [77][8060/11272] Time 0.835 (0.798) Data 0.002 (0.002) Loss 1.3009 (1.6420) Prec@1 65.000 (55.853) Prec@5 90.000 (84.507) Epoch: [77][8070/11272] Time 0.720 (0.798) Data 0.001 (0.002) Loss 1.6966 (1.6420) Prec@1 58.125 (55.853) Prec@5 82.500 (84.506) Epoch: [77][8080/11272] Time 0.905 (0.798) Data 0.002 (0.002) Loss 1.6674 (1.6421) Prec@1 50.625 (55.852) Prec@5 86.875 (84.506) Epoch: [77][8090/11272] Time 0.843 (0.798) Data 0.002 (0.002) Loss 1.5715 (1.6421) Prec@1 56.250 (55.852) Prec@5 85.000 (84.506) Epoch: [77][8100/11272] Time 0.765 (0.798) Data 0.002 (0.002) Loss 1.5712 (1.6420) Prec@1 59.375 (55.852) Prec@5 84.375 (84.506) Epoch: [77][8110/11272] Time 0.744 (0.798) Data 0.002 (0.002) Loss 1.7516 (1.6420) Prec@1 51.875 (55.850) Prec@5 82.500 (84.506) Epoch: [77][8120/11272] Time 0.905 (0.798) Data 0.002 (0.002) Loss 1.6681 (1.6420) Prec@1 60.000 (55.851) Prec@5 82.500 (84.506) Epoch: [77][8130/11272] Time 0.839 (0.798) Data 0.001 (0.002) Loss 1.6704 (1.6420) Prec@1 56.875 (55.852) Prec@5 83.750 (84.505) Epoch: [77][8140/11272] Time 0.730 (0.798) Data 0.002 (0.002) Loss 1.7419 (1.6419) Prec@1 53.125 (55.854) Prec@5 83.125 (84.507) Epoch: [77][8150/11272] Time 0.774 (0.798) Data 0.001 (0.002) Loss 1.7749 (1.6420) Prec@1 46.250 (55.851) Prec@5 83.125 (84.506) Epoch: [77][8160/11272] Time 0.860 (0.798) Data 0.002 (0.002) Loss 1.7131 (1.6420) Prec@1 52.500 (55.851) Prec@5 81.250 (84.506) Epoch: [77][8170/11272] Time 0.725 (0.798) Data 0.004 (0.002) Loss 1.4161 (1.6420) Prec@1 60.000 (55.852) Prec@5 87.500 (84.504) Epoch: [77][8180/11272] Time 0.699 (0.798) Data 0.001 (0.002) Loss 1.7809 (1.6420) Prec@1 50.000 (55.852) Prec@5 81.250 (84.505) Epoch: [77][8190/11272] Time 0.857 (0.798) Data 0.005 (0.002) Loss 1.4849 (1.6420) Prec@1 61.250 (55.851) Prec@5 86.250 (84.506) Epoch: [77][8200/11272] Time 0.945 (0.798) Data 0.002 (0.002) Loss 1.4741 (1.6420) Prec@1 58.125 (55.851) Prec@5 88.125 (84.504) Epoch: [77][8210/11272] Time 0.759 (0.799) Data 0.002 (0.002) Loss 1.5760 (1.6421) Prec@1 55.000 (55.852) Prec@5 91.875 (84.505) Epoch: [77][8220/11272] Time 0.729 (0.799) Data 0.001 (0.002) Loss 1.6245 (1.6421) Prec@1 58.125 (55.850) Prec@5 84.375 (84.505) Epoch: [77][8230/11272] Time 0.883 (0.799) Data 0.002 (0.002) Loss 1.7249 (1.6421) Prec@1 53.125 (55.851) Prec@5 83.750 (84.504) Epoch: [77][8240/11272] Time 0.862 (0.799) Data 0.002 (0.002) Loss 1.8131 (1.6421) Prec@1 50.000 (55.852) Prec@5 85.000 (84.505) Epoch: [77][8250/11272] Time 0.776 (0.799) Data 0.002 (0.002) Loss 1.7676 (1.6420) Prec@1 49.375 (55.852) Prec@5 80.000 (84.506) Epoch: [77][8260/11272] Time 0.769 (0.799) Data 0.002 (0.002) Loss 1.7683 (1.6421) Prec@1 59.375 (55.851) Prec@5 82.500 (84.506) Epoch: [77][8270/11272] Time 0.851 (0.799) Data 0.002 (0.002) Loss 1.7366 (1.6422) Prec@1 52.500 (55.848) Prec@5 85.000 (84.506) Epoch: [77][8280/11272] Time 0.811 (0.799) Data 0.001 (0.002) Loss 1.7114 (1.6423) Prec@1 50.625 (55.845) Prec@5 84.375 (84.504) Epoch: [77][8290/11272] Time 0.783 (0.799) Data 0.002 (0.002) Loss 1.7217 (1.6423) Prec@1 55.625 (55.845) Prec@5 81.875 (84.504) Epoch: [77][8300/11272] Time 0.896 (0.799) Data 0.002 (0.002) Loss 2.0657 (1.6423) Prec@1 54.375 (55.847) Prec@5 76.875 (84.502) Epoch: [77][8310/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 1.6685 (1.6424) Prec@1 51.875 (55.846) Prec@5 85.625 (84.501) Epoch: [77][8320/11272] Time 0.754 (0.799) Data 0.002 (0.002) Loss 1.5256 (1.6424) Prec@1 58.125 (55.846) Prec@5 85.625 (84.502) Epoch: [77][8330/11272] Time 0.751 (0.799) Data 0.002 (0.002) Loss 1.6420 (1.6423) Prec@1 53.750 (55.848) Prec@5 85.625 (84.503) Epoch: [77][8340/11272] Time 0.870 (0.799) Data 0.002 (0.002) Loss 1.7354 (1.6423) Prec@1 55.000 (55.847) Prec@5 80.625 (84.502) Epoch: [77][8350/11272] Time 0.857 (0.799) Data 0.002 (0.002) Loss 1.7594 (1.6424) Prec@1 55.625 (55.845) Prec@5 82.500 (84.501) Epoch: [77][8360/11272] Time 0.749 (0.799) Data 0.002 (0.002) Loss 1.5444 (1.6424) Prec@1 55.000 (55.844) Prec@5 86.875 (84.502) Epoch: [77][8370/11272] Time 0.720 (0.799) Data 0.002 (0.002) Loss 1.6212 (1.6424) Prec@1 55.000 (55.843) Prec@5 86.250 (84.501) Epoch: [77][8380/11272] Time 0.881 (0.799) Data 0.002 (0.002) Loss 1.7954 (1.6424) Prec@1 55.625 (55.843) Prec@5 81.250 (84.500) Epoch: [77][8390/11272] Time 0.919 (0.799) Data 0.002 (0.002) Loss 1.5274 (1.6425) Prec@1 56.875 (55.842) Prec@5 84.375 (84.498) Epoch: [77][8400/11272] Time 0.753 (0.799) Data 0.002 (0.002) Loss 1.5745 (1.6425) Prec@1 51.875 (55.842) Prec@5 85.000 (84.497) Epoch: [77][8410/11272] Time 0.721 (0.799) Data 0.002 (0.002) Loss 1.9124 (1.6426) Prec@1 53.125 (55.841) Prec@5 79.375 (84.495) Epoch: [77][8420/11272] Time 0.893 (0.799) Data 0.002 (0.002) Loss 1.6037 (1.6427) Prec@1 53.750 (55.838) Prec@5 82.500 (84.493) Epoch: [77][8430/11272] Time 0.839 (0.799) Data 0.002 (0.002) Loss 1.6115 (1.6427) Prec@1 57.500 (55.838) Prec@5 82.500 (84.493) Epoch: [77][8440/11272] Time 0.714 (0.799) Data 0.001 (0.002) Loss 1.4390 (1.6427) Prec@1 60.000 (55.839) Prec@5 88.750 (84.493) Epoch: [77][8450/11272] Time 0.853 (0.799) Data 0.003 (0.002) Loss 1.8284 (1.6427) Prec@1 50.625 (55.838) Prec@5 80.625 (84.493) Epoch: [77][8460/11272] Time 0.837 (0.799) Data 0.002 (0.002) Loss 1.4878 (1.6427) Prec@1 63.125 (55.838) Prec@5 87.500 (84.494) Epoch: [77][8470/11272] Time 0.756 (0.799) Data 0.002 (0.002) Loss 1.7153 (1.6428) Prec@1 49.375 (55.835) Prec@5 87.500 (84.494) Epoch: [77][8480/11272] Time 0.744 (0.799) Data 0.002 (0.002) Loss 1.7080 (1.6428) Prec@1 56.875 (55.834) Prec@5 78.125 (84.493) Epoch: [77][8490/11272] Time 0.948 (0.799) Data 0.002 (0.002) Loss 1.7265 (1.6429) Prec@1 56.250 (55.833) Prec@5 86.250 (84.493) Epoch: [77][8500/11272] Time 0.852 (0.799) Data 0.002 (0.002) Loss 1.6633 (1.6429) Prec@1 56.875 (55.831) Prec@5 85.000 (84.491) Epoch: [77][8510/11272] Time 0.728 (0.799) Data 0.002 (0.002) Loss 1.6444 (1.6429) Prec@1 53.750 (55.831) Prec@5 86.875 (84.489) Epoch: [77][8520/11272] Time 0.741 (0.799) Data 0.002 (0.002) Loss 1.6412 (1.6430) Prec@1 58.750 (55.829) Prec@5 84.375 (84.489) Epoch: [77][8530/11272] Time 0.851 (0.799) Data 0.002 (0.002) Loss 1.6835 (1.6430) Prec@1 56.250 (55.827) Prec@5 82.500 (84.489) Epoch: [77][8540/11272] Time 0.830 (0.799) Data 0.002 (0.002) Loss 1.4476 (1.6430) Prec@1 62.500 (55.828) Prec@5 88.750 (84.491) Epoch: [77][8550/11272] Time 0.717 (0.799) Data 0.001 (0.002) Loss 1.5131 (1.6430) Prec@1 58.750 (55.828) Prec@5 85.000 (84.490) Epoch: [77][8560/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 1.8339 (1.6430) Prec@1 50.625 (55.829) Prec@5 80.000 (84.490) Epoch: [77][8570/11272] Time 0.852 (0.799) Data 0.002 (0.002) Loss 1.4505 (1.6430) Prec@1 60.000 (55.830) Prec@5 90.625 (84.491) Epoch: [77][8580/11272] Time 0.733 (0.799) Data 0.002 (0.002) Loss 1.8893 (1.6430) Prec@1 53.125 (55.829) Prec@5 81.250 (84.491) Epoch: [77][8590/11272] Time 0.721 (0.799) Data 0.001 (0.002) Loss 1.5456 (1.6430) Prec@1 59.375 (55.830) Prec@5 83.750 (84.489) Epoch: [77][8600/11272] Time 0.931 (0.799) Data 0.002 (0.002) Loss 1.7497 (1.6430) Prec@1 56.875 (55.830) Prec@5 83.125 (84.489) Epoch: [77][8610/11272] Time 0.865 (0.799) Data 0.002 (0.002) Loss 1.8338 (1.6431) Prec@1 55.000 (55.830) Prec@5 77.500 (84.488) Epoch: [77][8620/11272] Time 0.717 (0.799) Data 0.002 (0.002) Loss 1.8257 (1.6430) Prec@1 51.875 (55.831) Prec@5 81.250 (84.488) Epoch: [77][8630/11272] Time 0.741 (0.799) Data 0.002 (0.002) Loss 1.5187 (1.6429) Prec@1 61.250 (55.833) Prec@5 86.250 (84.488) Epoch: [77][8640/11272] Time 0.902 (0.799) Data 0.003 (0.002) Loss 1.7944 (1.6430) Prec@1 55.000 (55.832) Prec@5 77.500 (84.487) Epoch: [77][8650/11272] Time 0.901 (0.799) Data 0.002 (0.002) Loss 1.7760 (1.6430) Prec@1 52.500 (55.831) Prec@5 83.750 (84.487) Epoch: [77][8660/11272] Time 0.761 (0.799) Data 0.002 (0.002) Loss 1.4319 (1.6430) Prec@1 59.375 (55.830) Prec@5 90.000 (84.488) Epoch: [77][8670/11272] Time 0.742 (0.799) Data 0.002 (0.002) Loss 1.6824 (1.6431) Prec@1 56.875 (55.829) Prec@5 81.875 (84.489) Epoch: [77][8680/11272] Time 0.913 (0.799) Data 0.002 (0.002) Loss 1.7377 (1.6430) Prec@1 51.875 (55.830) Prec@5 87.500 (84.489) Epoch: [77][8690/11272] Time 0.868 (0.799) Data 0.002 (0.002) Loss 1.7174 (1.6430) Prec@1 55.000 (55.831) Prec@5 81.875 (84.487) Epoch: [77][8700/11272] Time 0.763 (0.799) Data 0.002 (0.002) Loss 1.7287 (1.6431) Prec@1 53.125 (55.831) Prec@5 89.375 (84.487) Epoch: [77][8710/11272] Time 0.863 (0.799) Data 0.002 (0.002) Loss 1.3223 (1.6430) Prec@1 67.500 (55.833) Prec@5 89.375 (84.488) Epoch: [77][8720/11272] Time 0.905 (0.799) Data 0.002 (0.002) Loss 1.3404 (1.6430) Prec@1 63.750 (55.832) Prec@5 89.375 (84.489) Epoch: [77][8730/11272] Time 0.722 (0.799) Data 0.002 (0.002) Loss 1.5201 (1.6430) Prec@1 60.000 (55.833) Prec@5 85.625 (84.488) Epoch: [77][8740/11272] Time 0.720 (0.799) Data 0.001 (0.002) Loss 1.8417 (1.6430) Prec@1 53.750 (55.832) Prec@5 81.250 (84.487) Epoch: [77][8750/11272] Time 0.894 (0.799) Data 0.002 (0.002) Loss 1.3134 (1.6429) Prec@1 62.500 (55.836) Prec@5 87.500 (84.488) Epoch: [77][8760/11272] Time 0.864 (0.799) Data 0.002 (0.002) Loss 1.8237 (1.6429) Prec@1 50.000 (55.836) Prec@5 80.000 (84.486) Epoch: [77][8770/11272] Time 0.739 (0.799) Data 0.002 (0.002) Loss 1.4830 (1.6429) Prec@1 59.375 (55.836) Prec@5 89.375 (84.486) Epoch: [77][8780/11272] Time 0.779 (0.799) Data 0.002 (0.002) Loss 1.7317 (1.6429) Prec@1 48.125 (55.834) Prec@5 87.500 (84.486) Epoch: [77][8790/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 1.6126 (1.6430) Prec@1 53.750 (55.832) Prec@5 86.250 (84.486) Epoch: [77][8800/11272] Time 0.882 (0.800) Data 0.002 (0.002) Loss 1.7013 (1.6431) Prec@1 55.000 (55.830) Prec@5 80.000 (84.485) Epoch: [77][8810/11272] Time 0.816 (0.800) Data 0.003 (0.002) Loss 1.9757 (1.6431) Prec@1 48.750 (55.829) Prec@5 80.625 (84.483) Epoch: [77][8820/11272] Time 0.738 (0.800) Data 0.002 (0.002) Loss 1.5536 (1.6431) Prec@1 58.125 (55.828) Prec@5 84.375 (84.483) Epoch: [77][8830/11272] Time 0.900 (0.800) Data 0.002 (0.002) Loss 1.3597 (1.6431) Prec@1 61.875 (55.830) Prec@5 87.500 (84.483) Epoch: [77][8840/11272] Time 0.773 (0.800) Data 0.004 (0.002) Loss 1.7739 (1.6432) Prec@1 49.375 (55.827) Prec@5 85.625 (84.482) Epoch: [77][8850/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.6144 (1.6432) Prec@1 52.500 (55.827) Prec@5 83.125 (84.481) Epoch: [77][8860/11272] Time 0.938 (0.800) Data 0.005 (0.002) Loss 1.7008 (1.6432) Prec@1 51.875 (55.826) Prec@5 83.125 (84.482) Epoch: [77][8870/11272] Time 0.884 (0.800) Data 0.002 (0.002) Loss 1.6786 (1.6432) Prec@1 56.250 (55.827) Prec@5 82.500 (84.481) Epoch: [77][8880/11272] Time 0.728 (0.800) Data 0.002 (0.002) Loss 1.4771 (1.6432) Prec@1 60.000 (55.828) Prec@5 85.625 (84.482) Epoch: [77][8890/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 1.6660 (1.6432) Prec@1 54.375 (55.827) Prec@5 86.875 (84.482) Epoch: [77][8900/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 1.7617 (1.6432) Prec@1 57.500 (55.828) Prec@5 81.250 (84.482) Epoch: [77][8910/11272] Time 0.881 (0.800) Data 0.002 (0.002) Loss 1.5095 (1.6432) Prec@1 56.875 (55.828) Prec@5 86.875 (84.482) Epoch: [77][8920/11272] Time 0.779 (0.800) Data 0.002 (0.002) Loss 1.7161 (1.6432) Prec@1 51.250 (55.826) Prec@5 84.375 (84.480) Epoch: [77][8930/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.4937 (1.6432) Prec@1 62.500 (55.827) Prec@5 86.875 (84.481) Epoch: [77][8940/11272] Time 0.862 (0.800) Data 0.002 (0.002) Loss 1.7937 (1.6431) Prec@1 49.375 (55.827) Prec@5 78.125 (84.480) Epoch: [77][8950/11272] Time 0.874 (0.800) Data 0.002 (0.002) Loss 1.6476 (1.6432) Prec@1 57.500 (55.827) Prec@5 86.250 (84.480) Epoch: [77][8960/11272] Time 0.792 (0.800) Data 0.002 (0.002) Loss 1.4303 (1.6431) Prec@1 66.250 (55.829) Prec@5 88.125 (84.481) Epoch: [77][8970/11272] Time 0.870 (0.800) Data 0.002 (0.002) Loss 1.8217 (1.6432) Prec@1 53.125 (55.827) Prec@5 83.125 (84.481) Epoch: [77][8980/11272] Time 0.839 (0.800) Data 0.002 (0.002) Loss 1.3740 (1.6432) Prec@1 58.750 (55.828) Prec@5 87.500 (84.481) Epoch: [77][8990/11272] Time 0.758 (0.800) Data 0.002 (0.002) Loss 1.6185 (1.6433) Prec@1 56.875 (55.827) Prec@5 84.375 (84.479) Epoch: [77][9000/11272] Time 0.716 (0.800) Data 0.001 (0.002) Loss 1.5058 (1.6433) Prec@1 55.625 (55.825) Prec@5 85.625 (84.479) Epoch: [77][9010/11272] Time 0.949 (0.800) Data 0.002 (0.002) Loss 1.6784 (1.6433) Prec@1 52.500 (55.826) Prec@5 83.750 (84.479) Epoch: [77][9020/11272] Time 0.871 (0.800) Data 0.002 (0.002) Loss 1.5773 (1.6432) Prec@1 63.125 (55.827) Prec@5 85.625 (84.480) Epoch: [77][9030/11272] Time 0.727 (0.800) Data 0.002 (0.002) Loss 1.4051 (1.6431) Prec@1 59.375 (55.829) Prec@5 86.875 (84.482) Epoch: [77][9040/11272] Time 0.760 (0.800) Data 0.002 (0.002) Loss 1.6569 (1.6431) Prec@1 56.250 (55.828) Prec@5 83.750 (84.482) Epoch: [77][9050/11272] Time 0.890 (0.800) Data 0.002 (0.002) Loss 1.6511 (1.6431) Prec@1 55.625 (55.828) Prec@5 82.500 (84.482) Epoch: [77][9060/11272] Time 0.895 (0.800) Data 0.002 (0.002) Loss 1.6676 (1.6433) Prec@1 52.500 (55.823) Prec@5 86.250 (84.480) Epoch: [77][9070/11272] Time 0.782 (0.800) Data 0.002 (0.002) Loss 1.5743 (1.6433) Prec@1 60.625 (55.824) Prec@5 83.125 (84.482) Epoch: [77][9080/11272] Time 0.759 (0.800) Data 0.002 (0.002) Loss 1.7109 (1.6433) Prec@1 53.125 (55.823) Prec@5 85.000 (84.481) Epoch: [77][9090/11272] Time 0.846 (0.800) Data 0.001 (0.002) Loss 1.7533 (1.6433) Prec@1 53.750 (55.822) Prec@5 80.625 (84.479) Epoch: [77][9100/11272] Time 0.737 (0.800) Data 0.004 (0.002) Loss 1.7287 (1.6433) Prec@1 54.375 (55.823) Prec@5 80.625 (84.479) Epoch: [77][9110/11272] Time 0.718 (0.800) Data 0.001 (0.002) Loss 1.6602 (1.6432) Prec@1 53.125 (55.824) Prec@5 84.375 (84.480) Epoch: [77][9120/11272] Time 0.872 (0.800) Data 0.002 (0.002) Loss 1.6359 (1.6432) Prec@1 54.375 (55.823) Prec@5 81.875 (84.479) Epoch: [77][9130/11272] Time 0.818 (0.800) Data 0.001 (0.002) Loss 1.6557 (1.6432) Prec@1 51.875 (55.822) Prec@5 83.750 (84.479) Epoch: [77][9140/11272] Time 0.730 (0.800) Data 0.002 (0.002) Loss 1.8589 (1.6432) Prec@1 53.125 (55.824) Prec@5 79.375 (84.477) Epoch: [77][9150/11272] Time 0.757 (0.800) Data 0.002 (0.002) Loss 1.6885 (1.6432) Prec@1 51.875 (55.823) Prec@5 86.875 (84.478) Epoch: [77][9160/11272] Time 0.880 (0.800) Data 0.002 (0.002) Loss 1.6981 (1.6433) Prec@1 54.375 (55.820) Prec@5 82.500 (84.478) Epoch: [77][9170/11272] Time 0.910 (0.800) Data 0.002 (0.002) Loss 1.4285 (1.6433) Prec@1 66.875 (55.821) Prec@5 86.250 (84.479) Epoch: [77][9180/11272] Time 0.795 (0.800) Data 0.002 (0.002) Loss 1.4855 (1.6433) Prec@1 60.000 (55.820) Prec@5 86.250 (84.480) Epoch: [77][9190/11272] Time 0.783 (0.800) Data 0.002 (0.002) Loss 1.6404 (1.6434) Prec@1 54.375 (55.818) Prec@5 83.125 (84.478) Epoch: [77][9200/11272] Time 0.854 (0.800) Data 0.002 (0.002) Loss 1.9745 (1.6435) Prec@1 50.000 (55.815) Prec@5 80.000 (84.476) Epoch: [77][9210/11272] Time 0.856 (0.800) Data 0.002 (0.002) Loss 1.5233 (1.6434) Prec@1 52.500 (55.816) Prec@5 90.625 (84.477) Epoch: [77][9220/11272] Time 0.796 (0.800) Data 0.002 (0.002) Loss 1.5605 (1.6434) Prec@1 53.125 (55.815) Prec@5 85.000 (84.476) Epoch: [77][9230/11272] Time 0.864 (0.800) Data 0.002 (0.002) Loss 1.6138 (1.6434) Prec@1 58.125 (55.815) Prec@5 87.500 (84.476) Epoch: [77][9240/11272] Time 0.875 (0.800) Data 0.002 (0.002) Loss 1.5000 (1.6434) Prec@1 56.250 (55.815) Prec@5 87.500 (84.477) Epoch: [77][9250/11272] Time 0.805 (0.800) Data 0.001 (0.002) Loss 1.7383 (1.6435) Prec@1 53.750 (55.816) Prec@5 80.625 (84.477) Epoch: [77][9260/11272] Time 0.747 (0.800) Data 0.002 (0.002) Loss 1.5847 (1.6436) Prec@1 50.625 (55.812) Prec@5 84.375 (84.475) Epoch: [77][9270/11272] Time 0.925 (0.800) Data 0.002 (0.002) Loss 1.6155 (1.6436) Prec@1 55.625 (55.812) Prec@5 86.250 (84.476) Epoch: [77][9280/11272] Time 0.877 (0.800) Data 0.002 (0.002) Loss 1.6925 (1.6436) Prec@1 54.375 (55.810) Prec@5 84.375 (84.476) Epoch: [77][9290/11272] Time 0.744 (0.800) Data 0.002 (0.002) Loss 1.4870 (1.6436) Prec@1 55.625 (55.810) Prec@5 86.250 (84.476) Epoch: [77][9300/11272] Time 0.737 (0.800) Data 0.001 (0.002) Loss 1.6424 (1.6437) Prec@1 56.250 (55.808) Prec@5 87.500 (84.476) Epoch: [77][9310/11272] Time 0.856 (0.800) Data 0.001 (0.002) Loss 1.6318 (1.6437) Prec@1 55.625 (55.810) Prec@5 79.375 (84.476) Epoch: [77][9320/11272] Time 0.858 (0.800) Data 0.002 (0.002) Loss 1.6539 (1.6437) Prec@1 58.125 (55.809) Prec@5 83.125 (84.475) Epoch: [77][9330/11272] Time 0.708 (0.800) Data 0.001 (0.002) Loss 1.5715 (1.6437) Prec@1 56.250 (55.809) Prec@5 86.875 (84.475) Epoch: [77][9340/11272] Time 0.696 (0.800) Data 0.001 (0.002) Loss 1.5143 (1.6438) Prec@1 61.250 (55.807) Prec@5 85.000 (84.474) Epoch: [77][9350/11272] Time 0.857 (0.800) Data 0.002 (0.002) Loss 1.7631 (1.6438) Prec@1 50.625 (55.806) Prec@5 85.625 (84.472) Epoch: [77][9360/11272] Time 0.840 (0.800) Data 0.002 (0.002) Loss 1.4628 (1.6439) Prec@1 59.375 (55.805) Prec@5 86.875 (84.471) Epoch: [77][9370/11272] Time 0.774 (0.800) Data 0.003 (0.002) Loss 1.5836 (1.6439) Prec@1 53.750 (55.806) Prec@5 83.750 (84.471) Epoch: [77][9380/11272] Time 0.913 (0.800) Data 0.002 (0.002) Loss 1.6407 (1.6439) Prec@1 55.000 (55.805) Prec@5 82.500 (84.469) Epoch: [77][9390/11272] Time 0.868 (0.801) Data 0.002 (0.002) Loss 1.5038 (1.6439) Prec@1 56.875 (55.807) Prec@5 88.125 (84.470) Epoch: [77][9400/11272] Time 0.770 (0.801) Data 0.002 (0.002) Loss 1.6391 (1.6439) Prec@1 53.125 (55.807) Prec@5 84.375 (84.468) Epoch: [77][9410/11272] Time 0.719 (0.801) Data 0.001 (0.002) Loss 1.7057 (1.6439) Prec@1 55.000 (55.805) Prec@5 83.125 (84.468) Epoch: [77][9420/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 1.6054 (1.6440) Prec@1 57.500 (55.804) Prec@5 83.125 (84.466) Epoch: [77][9430/11272] Time 0.976 (0.801) Data 0.002 (0.002) Loss 1.5397 (1.6440) Prec@1 54.375 (55.804) Prec@5 88.750 (84.466) Epoch: [77][9440/11272] Time 0.715 (0.801) Data 0.002 (0.002) Loss 1.7967 (1.6440) Prec@1 45.625 (55.802) Prec@5 87.500 (84.467) Epoch: [77][9450/11272] Time 0.744 (0.801) Data 0.002 (0.002) Loss 1.5774 (1.6440) Prec@1 59.375 (55.803) Prec@5 83.125 (84.466) Epoch: [77][9460/11272] Time 0.866 (0.801) Data 0.002 (0.002) Loss 1.7173 (1.6441) Prec@1 54.375 (55.802) Prec@5 83.750 (84.464) Epoch: [77][9470/11272] Time 0.850 (0.801) Data 0.001 (0.002) Loss 1.7692 (1.6441) Prec@1 50.000 (55.802) Prec@5 81.875 (84.464) Epoch: [77][9480/11272] Time 0.726 (0.801) Data 0.002 (0.002) Loss 1.6534 (1.6441) Prec@1 53.750 (55.801) Prec@5 86.875 (84.465) Epoch: [77][9490/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.8617 (1.6441) Prec@1 55.000 (55.802) Prec@5 78.750 (84.464) Epoch: [77][9500/11272] Time 0.855 (0.801) Data 0.002 (0.002) Loss 1.6110 (1.6441) Prec@1 56.250 (55.801) Prec@5 84.375 (84.464) Epoch: [77][9510/11272] Time 0.722 (0.801) Data 0.001 (0.002) Loss 1.7327 (1.6441) Prec@1 58.125 (55.802) Prec@5 83.750 (84.464) Epoch: [77][9520/11272] Time 0.713 (0.801) Data 0.001 (0.002) Loss 1.7424 (1.6442) Prec@1 55.000 (55.799) Prec@5 81.250 (84.462) Epoch: [77][9530/11272] Time 0.897 (0.801) Data 0.003 (0.002) Loss 1.5068 (1.6443) Prec@1 55.625 (55.799) Prec@5 87.500 (84.463) Epoch: [77][9540/11272] Time 0.870 (0.801) Data 0.002 (0.002) Loss 1.2589 (1.6443) Prec@1 65.000 (55.800) Prec@5 91.250 (84.464) Epoch: [77][9550/11272] Time 0.727 (0.801) Data 0.002 (0.002) Loss 1.4318 (1.6442) Prec@1 60.625 (55.803) Prec@5 85.000 (84.464) Epoch: [77][9560/11272] Time 0.746 (0.801) Data 0.002 (0.002) Loss 1.6129 (1.6442) Prec@1 57.500 (55.804) Prec@5 85.000 (84.465) Epoch: [77][9570/11272] Time 0.907 (0.801) Data 0.002 (0.002) Loss 1.6525 (1.6442) Prec@1 48.750 (55.802) Prec@5 85.625 (84.463) Epoch: [77][9580/11272] Time 0.876 (0.801) Data 0.002 (0.002) Loss 1.8280 (1.6443) Prec@1 55.000 (55.802) Prec@5 81.250 (84.463) Epoch: [77][9590/11272] Time 0.703 (0.801) Data 0.001 (0.002) Loss 1.6624 (1.6443) Prec@1 55.000 (55.801) Prec@5 81.875 (84.462) Epoch: [77][9600/11272] Time 0.785 (0.801) Data 0.002 (0.002) Loss 1.7174 (1.6443) Prec@1 56.250 (55.802) Prec@5 83.750 (84.462) Epoch: [77][9610/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 1.5811 (1.6442) Prec@1 57.500 (55.803) Prec@5 85.625 (84.463) Epoch: [77][9620/11272] Time 0.880 (0.801) Data 0.001 (0.002) Loss 1.5683 (1.6442) Prec@1 56.875 (55.804) Prec@5 85.000 (84.464) Epoch: [77][9630/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 1.5016 (1.6441) Prec@1 55.000 (55.806) Prec@5 88.125 (84.466) Epoch: [77][9640/11272] Time 0.852 (0.801) Data 0.002 (0.002) Loss 1.5137 (1.6441) Prec@1 56.250 (55.807) Prec@5 85.625 (84.466) Epoch: [77][9650/11272] Time 0.855 (0.801) Data 0.001 (0.002) Loss 1.5976 (1.6441) Prec@1 56.875 (55.805) Prec@5 85.000 (84.467) Epoch: [77][9660/11272] Time 0.714 (0.801) Data 0.001 (0.002) Loss 1.7013 (1.6441) Prec@1 49.375 (55.804) Prec@5 83.125 (84.466) Epoch: [77][9670/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 1.8061 (1.6441) Prec@1 53.125 (55.805) Prec@5 81.875 (84.466) Epoch: [77][9680/11272] Time 0.869 (0.801) Data 0.002 (0.002) Loss 1.7678 (1.6441) Prec@1 56.250 (55.807) Prec@5 83.125 (84.467) Epoch: [77][9690/11272] Time 0.827 (0.801) Data 0.003 (0.002) Loss 1.6168 (1.6440) Prec@1 59.375 (55.808) Prec@5 84.375 (84.468) Epoch: [77][9700/11272] Time 0.759 (0.801) Data 0.002 (0.002) Loss 1.7108 (1.6441) Prec@1 51.875 (55.806) Prec@5 82.500 (84.467) Epoch: [77][9710/11272] Time 0.719 (0.801) Data 0.002 (0.002) Loss 1.5237 (1.6440) Prec@1 54.375 (55.807) Prec@5 85.625 (84.468) Epoch: [77][9720/11272] Time 0.922 (0.801) Data 0.002 (0.002) Loss 1.6363 (1.6440) Prec@1 58.750 (55.807) Prec@5 84.375 (84.469) Epoch: [77][9730/11272] Time 0.883 (0.801) Data 0.002 (0.002) Loss 1.5996 (1.6440) Prec@1 60.625 (55.807) Prec@5 88.125 (84.469) Epoch: [77][9740/11272] Time 0.730 (0.801) Data 0.002 (0.002) Loss 1.7695 (1.6440) Prec@1 55.000 (55.809) Prec@5 80.000 (84.468) Epoch: [77][9750/11272] Time 0.724 (0.801) Data 0.002 (0.002) Loss 1.7027 (1.6440) Prec@1 53.125 (55.809) Prec@5 85.000 (84.468) Epoch: [77][9760/11272] Time 0.858 (0.801) Data 0.002 (0.002) Loss 1.3558 (1.6440) Prec@1 65.625 (55.808) Prec@5 86.875 (84.467) Epoch: [77][9770/11272] Time 0.752 (0.801) Data 0.005 (0.002) Loss 1.5641 (1.6441) Prec@1 50.625 (55.807) Prec@5 88.125 (84.467) Epoch: [77][9780/11272] Time 0.698 (0.801) Data 0.001 (0.002) Loss 1.7970 (1.6441) Prec@1 51.250 (55.807) Prec@5 83.125 (84.466) Epoch: [77][9790/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 1.6319 (1.6440) Prec@1 52.500 (55.808) Prec@5 86.250 (84.467) Epoch: [77][9800/11272] Time 0.843 (0.801) Data 0.002 (0.002) Loss 1.7496 (1.6441) Prec@1 55.625 (55.806) Prec@5 78.125 (84.465) Epoch: [77][9810/11272] Time 0.728 (0.801) Data 0.002 (0.002) Loss 1.9918 (1.6441) Prec@1 50.000 (55.807) Prec@5 78.125 (84.466) Epoch: [77][9820/11272] Time 0.738 (0.801) Data 0.002 (0.002) Loss 1.6864 (1.6441) Prec@1 58.125 (55.807) Prec@5 85.625 (84.465) Epoch: [77][9830/11272] Time 0.913 (0.801) Data 0.002 (0.002) Loss 1.8306 (1.6441) Prec@1 51.875 (55.807) Prec@5 82.500 (84.467) Epoch: [77][9840/11272] Time 0.906 (0.801) Data 0.002 (0.002) Loss 1.6811 (1.6441) Prec@1 51.875 (55.807) Prec@5 84.375 (84.466) Epoch: [77][9850/11272] Time 0.805 (0.801) Data 0.002 (0.002) Loss 1.9012 (1.6441) Prec@1 50.625 (55.806) Prec@5 78.750 (84.465) Epoch: [77][9860/11272] Time 0.724 (0.801) Data 0.002 (0.002) Loss 1.4768 (1.6441) Prec@1 58.750 (55.806) Prec@5 88.125 (84.466) Epoch: [77][9870/11272] Time 0.879 (0.801) Data 0.002 (0.002) Loss 1.5636 (1.6441) Prec@1 56.875 (55.807) Prec@5 85.000 (84.466) Epoch: [77][9880/11272] Time 0.877 (0.801) Data 0.002 (0.002) Loss 1.5677 (1.6440) Prec@1 57.500 (55.809) Prec@5 86.875 (84.467) Epoch: [77][9890/11272] Time 0.756 (0.801) Data 0.002 (0.002) Loss 1.6322 (1.6440) Prec@1 57.500 (55.809) Prec@5 85.625 (84.468) Epoch: [77][9900/11272] Time 0.886 (0.801) Data 0.002 (0.002) Loss 1.8795 (1.6441) Prec@1 46.250 (55.807) Prec@5 80.000 (84.466) Epoch: [77][9910/11272] Time 0.862 (0.801) Data 0.002 (0.002) Loss 1.6190 (1.6440) Prec@1 57.500 (55.809) Prec@5 85.000 (84.468) Epoch: [77][9920/11272] Time 0.720 (0.801) Data 0.001 (0.002) Loss 1.8466 (1.6441) Prec@1 55.000 (55.810) Prec@5 81.875 (84.467) Epoch: [77][9930/11272] Time 0.737 (0.801) Data 0.002 (0.002) Loss 1.7714 (1.6441) Prec@1 48.125 (55.807) Prec@5 83.125 (84.466) Epoch: [77][9940/11272] Time 0.838 (0.801) Data 0.002 (0.002) Loss 1.9477 (1.6442) Prec@1 45.625 (55.805) Prec@5 81.250 (84.466) Epoch: [77][9950/11272] Time 0.930 (0.801) Data 0.002 (0.002) Loss 1.4651 (1.6441) Prec@1 56.250 (55.806) Prec@5 85.000 (84.466) Epoch: [77][9960/11272] Time 0.740 (0.801) Data 0.002 (0.002) Loss 1.6002 (1.6441) Prec@1 60.000 (55.806) Prec@5 84.375 (84.467) Epoch: [77][9970/11272] Time 0.734 (0.801) Data 0.002 (0.002) Loss 1.5589 (1.6441) Prec@1 55.000 (55.808) Prec@5 84.375 (84.468) Epoch: [77][9980/11272] Time 0.848 (0.801) Data 0.003 (0.002) Loss 1.7448 (1.6441) Prec@1 55.625 (55.808) Prec@5 81.250 (84.466) Epoch: [77][9990/11272] Time 0.916 (0.801) Data 0.002 (0.002) Loss 1.8315 (1.6442) Prec@1 51.875 (55.807) Prec@5 83.750 (84.466) Epoch: [77][10000/11272] Time 0.743 (0.801) Data 0.002 (0.002) Loss 1.5980 (1.6442) Prec@1 51.875 (55.805) Prec@5 81.875 (84.464) Epoch: [77][10010/11272] Time 0.707 (0.801) Data 0.002 (0.002) Loss 1.4174 (1.6442) Prec@1 59.375 (55.805) Prec@5 90.625 (84.465) Epoch: [77][10020/11272] Time 0.874 (0.801) Data 0.002 (0.002) Loss 1.3842 (1.6442) Prec@1 63.750 (55.806) Prec@5 88.750 (84.465) Epoch: [77][10030/11272] Time 0.727 (0.801) Data 0.004 (0.002) Loss 1.7717 (1.6443) Prec@1 53.750 (55.803) Prec@5 83.125 (84.463) Epoch: [77][10040/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.4698 (1.6444) Prec@1 55.000 (55.803) Prec@5 88.750 (84.461) Epoch: [77][10050/11272] Time 0.854 (0.801) Data 0.002 (0.002) Loss 1.5661 (1.6444) Prec@1 56.250 (55.803) Prec@5 83.125 (84.461) Epoch: [77][10060/11272] Time 0.933 (0.801) Data 0.002 (0.002) Loss 1.5473 (1.6443) Prec@1 58.750 (55.803) Prec@5 85.625 (84.461) Epoch: [77][10070/11272] Time 0.740 (0.801) Data 0.001 (0.002) Loss 1.6508 (1.6444) Prec@1 58.750 (55.804) Prec@5 80.625 (84.461) Epoch: [77][10080/11272] Time 0.782 (0.801) Data 0.002 (0.002) Loss 1.7535 (1.6444) Prec@1 53.125 (55.803) Prec@5 81.250 (84.459) Epoch: [77][10090/11272] Time 0.890 (0.801) Data 0.003 (0.002) Loss 1.3710 (1.6444) Prec@1 64.375 (55.805) Prec@5 88.750 (84.461) Epoch: [77][10100/11272] Time 0.898 (0.801) Data 0.002 (0.002) Loss 1.5849 (1.6445) Prec@1 56.250 (55.802) Prec@5 83.750 (84.459) Epoch: [77][10110/11272] Time 0.752 (0.801) Data 0.002 (0.002) Loss 1.6969 (1.6445) Prec@1 55.000 (55.802) Prec@5 82.500 (84.459) Epoch: [77][10120/11272] Time 0.750 (0.801) Data 0.002 (0.002) Loss 1.3592 (1.6445) Prec@1 59.375 (55.802) Prec@5 93.125 (84.460) Epoch: [77][10130/11272] Time 0.878 (0.801) Data 0.002 (0.002) Loss 1.3972 (1.6445) Prec@1 63.750 (55.803) Prec@5 89.375 (84.461) Epoch: [77][10140/11272] Time 0.932 (0.801) Data 0.002 (0.002) Loss 1.5686 (1.6446) Prec@1 60.000 (55.801) Prec@5 85.000 (84.458) Epoch: [77][10150/11272] Time 0.748 (0.801) Data 0.002 (0.002) Loss 1.5103 (1.6446) Prec@1 56.875 (55.801) Prec@5 88.125 (84.457) Epoch: [77][10160/11272] Time 0.857 (0.801) Data 0.002 (0.002) Loss 1.4094 (1.6446) Prec@1 58.750 (55.799) Prec@5 85.000 (84.456) Epoch: [77][10170/11272] Time 0.879 (0.801) Data 0.002 (0.002) Loss 1.4545 (1.6446) Prec@1 52.500 (55.799) Prec@5 88.125 (84.457) Epoch: [77][10180/11272] Time 0.775 (0.801) Data 0.002 (0.002) Loss 1.7283 (1.6446) Prec@1 55.625 (55.799) Prec@5 83.125 (84.457) Epoch: [77][10190/11272] Time 0.742 (0.801) Data 0.002 (0.002) Loss 1.5780 (1.6447) Prec@1 59.375 (55.801) Prec@5 86.250 (84.457) Epoch: [77][10200/11272] Time 0.863 (0.801) Data 0.002 (0.002) Loss 1.6201 (1.6447) Prec@1 56.875 (55.801) Prec@5 83.750 (84.456) Epoch: [77][10210/11272] Time 0.859 (0.801) Data 0.002 (0.002) Loss 1.5391 (1.6447) Prec@1 62.500 (55.801) Prec@5 87.500 (84.455) Epoch: [77][10220/11272] Time 0.721 (0.801) Data 0.002 (0.002) Loss 1.8819 (1.6448) Prec@1 50.625 (55.801) Prec@5 82.500 (84.456) Epoch: [77][10230/11272] Time 0.776 (0.801) Data 0.003 (0.002) Loss 1.7672 (1.6449) Prec@1 54.375 (55.799) Prec@5 83.750 (84.453) Epoch: [77][10240/11272] Time 0.840 (0.801) Data 0.001 (0.002) Loss 1.9088 (1.6448) Prec@1 47.500 (55.799) Prec@5 82.500 (84.455) Epoch: [77][10250/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 1.3915 (1.6448) Prec@1 64.375 (55.800) Prec@5 88.750 (84.456) Epoch: [77][10260/11272] Time 0.742 (0.802) Data 0.002 (0.002) Loss 1.7302 (1.6448) Prec@1 56.250 (55.801) Prec@5 80.000 (84.456) Epoch: [77][10270/11272] Time 0.721 (0.802) Data 0.002 (0.002) Loss 1.6606 (1.6448) Prec@1 56.875 (55.800) Prec@5 83.750 (84.455) Epoch: [77][10280/11272] Time 0.886 (0.802) Data 0.002 (0.002) Loss 1.8336 (1.6448) Prec@1 50.000 (55.801) Prec@5 83.125 (84.456) Epoch: [77][10290/11272] Time 0.872 (0.802) Data 0.002 (0.002) Loss 1.5460 (1.6448) Prec@1 56.250 (55.800) Prec@5 85.625 (84.455) Epoch: [77][10300/11272] Time 0.758 (0.802) Data 0.002 (0.002) Loss 1.7665 (1.6449) Prec@1 53.750 (55.797) Prec@5 83.125 (84.455) Epoch: [77][10310/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.8513 (1.6448) Prec@1 54.375 (55.798) Prec@5 76.875 (84.454) Epoch: [77][10320/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 1.6523 (1.6448) Prec@1 52.500 (55.799) Prec@5 81.250 (84.454) Epoch: [77][10330/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 1.5335 (1.6448) Prec@1 53.750 (55.800) Prec@5 88.750 (84.455) Epoch: [77][10340/11272] Time 0.716 (0.802) Data 0.001 (0.002) Loss 1.6153 (1.6448) Prec@1 58.750 (55.801) Prec@5 85.000 (84.456) Epoch: [77][10350/11272] Time 0.867 (0.802) Data 0.002 (0.002) Loss 1.8361 (1.6448) Prec@1 53.125 (55.800) Prec@5 80.625 (84.456) Epoch: [77][10360/11272] Time 0.851 (0.802) Data 0.003 (0.002) Loss 1.6246 (1.6448) Prec@1 55.000 (55.799) Prec@5 84.375 (84.455) Epoch: [77][10370/11272] Time 0.733 (0.802) Data 0.001 (0.002) Loss 1.5551 (1.6448) Prec@1 56.875 (55.798) Prec@5 85.625 (84.455) Epoch: [77][10380/11272] Time 0.756 (0.802) Data 0.001 (0.002) Loss 1.7365 (1.6449) Prec@1 52.500 (55.798) Prec@5 86.250 (84.455) Epoch: [77][10390/11272] Time 0.892 (0.802) Data 0.002 (0.002) Loss 1.8714 (1.6448) Prec@1 44.375 (55.799) Prec@5 84.375 (84.455) Epoch: [77][10400/11272] Time 0.852 (0.802) Data 0.002 (0.002) Loss 1.6152 (1.6448) Prec@1 55.000 (55.799) Prec@5 85.625 (84.456) Epoch: [77][10410/11272] Time 0.729 (0.802) Data 0.001 (0.002) Loss 1.6931 (1.6448) Prec@1 56.875 (55.798) Prec@5 83.125 (84.455) Epoch: [77][10420/11272] Time 0.768 (0.802) Data 0.002 (0.002) Loss 1.7951 (1.6449) Prec@1 51.250 (55.798) Prec@5 83.750 (84.455) Epoch: [77][10430/11272] Time 0.837 (0.802) Data 0.002 (0.002) Loss 1.5976 (1.6448) Prec@1 54.375 (55.798) Prec@5 86.250 (84.457) Epoch: [77][10440/11272] Time 0.757 (0.802) Data 0.001 (0.002) Loss 1.5476 (1.6448) Prec@1 57.500 (55.798) Prec@5 86.875 (84.458) Epoch: [77][10450/11272] Time 0.747 (0.802) Data 0.002 (0.002) Loss 1.4505 (1.6448) Prec@1 63.750 (55.797) Prec@5 88.125 (84.457) Epoch: [77][10460/11272] Time 0.832 (0.802) Data 0.002 (0.002) Loss 1.6215 (1.6449) Prec@1 51.875 (55.796) Prec@5 85.000 (84.457) Epoch: [77][10470/11272] Time 0.938 (0.802) Data 0.002 (0.002) Loss 1.6566 (1.6449) Prec@1 60.625 (55.798) Prec@5 81.250 (84.455) Epoch: [77][10480/11272] Time 0.724 (0.802) Data 0.002 (0.002) Loss 1.8251 (1.6449) Prec@1 51.875 (55.797) Prec@5 81.875 (84.454) Epoch: [77][10490/11272] Time 0.726 (0.802) Data 0.002 (0.002) Loss 1.6111 (1.6449) Prec@1 56.250 (55.798) Prec@5 89.375 (84.455) Epoch: [77][10500/11272] Time 0.884 (0.802) Data 0.002 (0.002) Loss 1.6583 (1.6449) Prec@1 54.375 (55.798) Prec@5 85.000 (84.454) Epoch: [77][10510/11272] Time 0.874 (0.802) Data 0.002 (0.002) Loss 1.7441 (1.6449) Prec@1 55.000 (55.798) Prec@5 83.125 (84.455) Epoch: [77][10520/11272] Time 0.767 (0.802) Data 0.001 (0.002) Loss 1.7003 (1.6449) Prec@1 55.000 (55.799) Prec@5 82.500 (84.454) Epoch: [77][10530/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 1.9738 (1.6450) Prec@1 50.000 (55.798) Prec@5 79.375 (84.453) Epoch: [77][10540/11272] Time 0.870 (0.802) Data 0.002 (0.002) Loss 1.7025 (1.6450) Prec@1 58.125 (55.798) Prec@5 83.750 (84.451) Epoch: [77][10550/11272] Time 0.905 (0.802) Data 0.002 (0.002) Loss 1.6274 (1.6450) Prec@1 56.875 (55.797) Prec@5 87.500 (84.451) Epoch: [77][10560/11272] Time 0.797 (0.802) Data 0.002 (0.002) Loss 1.5642 (1.6450) Prec@1 53.750 (55.796) Prec@5 84.375 (84.451) Epoch: [77][10570/11272] Time 0.891 (0.802) Data 0.002 (0.002) Loss 1.5907 (1.6450) Prec@1 53.125 (55.795) Prec@5 84.375 (84.450) Epoch: [77][10580/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 1.3919 (1.6450) Prec@1 65.625 (55.797) Prec@5 85.000 (84.450) Epoch: [77][10590/11272] Time 0.708 (0.802) Data 0.002 (0.002) Loss 1.7680 (1.6450) Prec@1 54.375 (55.797) Prec@5 86.250 (84.448) Epoch: [77][10600/11272] Time 0.696 (0.802) Data 0.001 (0.002) Loss 1.4553 (1.6450) Prec@1 63.125 (55.799) Prec@5 88.750 (84.449) Epoch: [77][10610/11272] Time 0.860 (0.802) Data 0.001 (0.002) Loss 1.6092 (1.6449) Prec@1 61.250 (55.803) Prec@5 82.500 (84.450) Epoch: [77][10620/11272] Time 0.895 (0.802) Data 0.002 (0.002) Loss 2.0461 (1.6449) Prec@1 46.250 (55.803) Prec@5 77.500 (84.449) Epoch: [77][10630/11272] Time 0.722 (0.802) Data 0.001 (0.002) Loss 1.6204 (1.6450) Prec@1 55.625 (55.803) Prec@5 83.750 (84.448) Epoch: [77][10640/11272] Time 0.764 (0.802) Data 0.002 (0.002) Loss 1.5827 (1.6450) Prec@1 60.000 (55.802) Prec@5 83.750 (84.448) Epoch: [77][10650/11272] Time 0.863 (0.802) Data 0.002 (0.002) Loss 1.6332 (1.6449) Prec@1 59.375 (55.805) Prec@5 85.625 (84.449) Epoch: [77][10660/11272] Time 0.908 (0.802) Data 0.002 (0.002) Loss 1.5279 (1.6450) Prec@1 63.125 (55.804) Prec@5 85.000 (84.448) Epoch: [77][10670/11272] Time 0.779 (0.802) Data 0.002 (0.002) Loss 1.5641 (1.6449) Prec@1 58.125 (55.805) Prec@5 83.125 (84.448) Epoch: [77][10680/11272] Time 0.775 (0.802) Data 0.002 (0.002) Loss 1.5261 (1.6450) Prec@1 58.750 (55.805) Prec@5 87.500 (84.447) Epoch: [77][10690/11272] Time 0.882 (0.802) Data 0.002 (0.002) Loss 1.6067 (1.6450) Prec@1 59.375 (55.805) Prec@5 86.250 (84.447) Epoch: [77][10700/11272] Time 0.749 (0.802) Data 0.004 (0.002) Loss 1.7271 (1.6450) Prec@1 53.125 (55.800) Prec@5 83.750 (84.448) Epoch: [77][10710/11272] Time 0.749 (0.802) Data 0.002 (0.002) Loss 1.4920 (1.6450) Prec@1 59.375 (55.799) Prec@5 85.000 (84.447) Epoch: [77][10720/11272] Time 0.851 (0.802) Data 0.002 (0.002) Loss 1.5804 (1.6451) Prec@1 60.000 (55.799) Prec@5 83.750 (84.447) Epoch: [77][10730/11272] Time 0.876 (0.802) Data 0.002 (0.002) Loss 1.8037 (1.6451) Prec@1 55.625 (55.798) Prec@5 81.250 (84.447) Epoch: [77][10740/11272] Time 0.789 (0.802) Data 0.003 (0.002) Loss 1.5764 (1.6451) Prec@1 58.125 (55.798) Prec@5 85.625 (84.447) Epoch: [77][10750/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 1.5891 (1.6451) Prec@1 57.500 (55.798) Prec@5 88.125 (84.447) Epoch: [77][10760/11272] Time 0.858 (0.802) Data 0.002 (0.002) Loss 1.7438 (1.6451) Prec@1 56.250 (55.798) Prec@5 81.250 (84.446) Epoch: [77][10770/11272] Time 0.881 (0.802) Data 0.002 (0.002) Loss 1.7138 (1.6452) Prec@1 49.375 (55.797) Prec@5 83.750 (84.445) Epoch: [77][10780/11272] Time 0.731 (0.802) Data 0.002 (0.002) Loss 1.6024 (1.6452) Prec@1 58.125 (55.797) Prec@5 83.125 (84.445) Epoch: [77][10790/11272] Time 0.784 (0.802) Data 0.002 (0.002) Loss 1.4998 (1.6451) Prec@1 59.375 (55.797) Prec@5 88.125 (84.445) Epoch: [77][10800/11272] Time 0.898 (0.802) Data 0.002 (0.002) Loss 1.5151 (1.6452) Prec@1 59.375 (55.797) Prec@5 86.875 (84.445) Epoch: [77][10810/11272] Time 0.878 (0.802) Data 0.002 (0.002) Loss 1.6019 (1.6453) Prec@1 50.625 (55.795) Prec@5 85.000 (84.443) Epoch: [77][10820/11272] Time 0.735 (0.802) Data 0.002 (0.002) Loss 1.5861 (1.6453) Prec@1 56.875 (55.795) Prec@5 84.375 (84.442) Epoch: [77][10830/11272] Time 0.878 (0.802) Data 0.001 (0.002) Loss 1.6702 (1.6453) Prec@1 55.000 (55.794) Prec@5 85.000 (84.441) Epoch: [77][10840/11272] Time 0.897 (0.802) Data 0.002 (0.002) Loss 1.7361 (1.6453) Prec@1 50.000 (55.794) Prec@5 83.750 (84.441) Epoch: [77][10850/11272] Time 0.778 (0.802) Data 0.003 (0.002) Loss 1.8101 (1.6453) Prec@1 50.625 (55.795) Prec@5 84.375 (84.442) Epoch: [77][10860/11272] Time 0.739 (0.802) Data 0.002 (0.002) Loss 2.0227 (1.6453) Prec@1 44.375 (55.792) Prec@5 77.500 (84.441) Epoch: [77][10870/11272] Time 0.861 (0.802) Data 0.002 (0.002) Loss 1.8853 (1.6454) Prec@1 50.625 (55.791) Prec@5 78.125 (84.440) Epoch: [77][10880/11272] Time 0.899 (0.802) Data 0.002 (0.002) Loss 1.6324 (1.6454) Prec@1 58.750 (55.788) Prec@5 83.125 (84.439) Epoch: [77][10890/11272] Time 0.745 (0.802) Data 0.002 (0.002) Loss 1.5490 (1.6454) Prec@1 59.375 (55.788) Prec@5 83.125 (84.438) Epoch: [77][10900/11272] Time 0.744 (0.802) Data 0.002 (0.002) Loss 1.1988 (1.6454) Prec@1 66.250 (55.788) Prec@5 87.500 (84.438) Epoch: [77][10910/11272] Time 0.905 (0.802) Data 0.001 (0.002) Loss 1.6521 (1.6455) Prec@1 56.250 (55.788) Prec@5 82.500 (84.437) Epoch: [77][10920/11272] Time 0.943 (0.802) Data 0.002 (0.002) Loss 1.4589 (1.6455) Prec@1 59.375 (55.788) Prec@5 88.750 (84.437) Epoch: [77][10930/11272] Time 0.798 (0.802) Data 0.002 (0.002) Loss 1.4378 (1.6454) Prec@1 60.625 (55.789) Prec@5 86.250 (84.437) Epoch: [77][10940/11272] Time 0.753 (0.802) Data 0.001 (0.002) Loss 1.5828 (1.6454) Prec@1 57.500 (55.789) Prec@5 81.875 (84.437) Epoch: [77][10950/11272] Time 0.909 (0.802) Data 0.002 (0.002) Loss 1.9780 (1.6454) Prec@1 50.625 (55.787) Prec@5 78.125 (84.437) Epoch: [77][10960/11272] Time 0.704 (0.802) Data 0.003 (0.002) Loss 1.5160 (1.6454) Prec@1 60.000 (55.787) Prec@5 85.000 (84.437) Epoch: [77][10970/11272] Time 0.746 (0.802) Data 0.002 (0.002) Loss 1.7360 (1.6454) Prec@1 50.625 (55.786) Prec@5 85.000 (84.436) Epoch: [77][10980/11272] Time 0.882 (0.802) Data 0.002 (0.002) Loss 1.6169 (1.6454) Prec@1 58.125 (55.786) Prec@5 82.500 (84.436) Epoch: [77][10990/11272] Time 0.943 (0.802) Data 0.002 (0.002) Loss 1.5813 (1.6454) Prec@1 56.875 (55.785) Prec@5 85.625 (84.437) Epoch: [77][11000/11272] Time 0.750 (0.802) Data 0.002 (0.002) Loss 1.6542 (1.6455) Prec@1 55.625 (55.786) Prec@5 81.875 (84.436) Epoch: [77][11010/11272] Time 0.730 (0.802) Data 0.002 (0.002) Loss 1.4927 (1.6455) Prec@1 63.750 (55.787) Prec@5 85.000 (84.435) Epoch: [77][11020/11272] Time 0.923 (0.802) Data 0.002 (0.002) Loss 1.5397 (1.6455) Prec@1 62.500 (55.787) Prec@5 84.375 (84.434) Epoch: [77][11030/11272] Time 0.920 (0.802) Data 0.002 (0.002) Loss 1.7546 (1.6456) Prec@1 56.250 (55.786) Prec@5 82.500 (84.433) Epoch: [77][11040/11272] Time 0.760 (0.802) Data 0.002 (0.002) Loss 1.5272 (1.6456) Prec@1 59.375 (55.786) Prec@5 85.625 (84.433) Epoch: [77][11050/11272] Time 0.777 (0.802) Data 0.003 (0.002) Loss 1.8121 (1.6456) Prec@1 56.250 (55.787) Prec@5 82.500 (84.434) Epoch: [77][11060/11272] Time 0.873 (0.802) Data 0.002 (0.002) Loss 1.7839 (1.6455) Prec@1 52.500 (55.788) Prec@5 86.250 (84.435) Epoch: [77][11070/11272] Time 0.877 (0.802) Data 0.003 (0.002) Loss 1.7081 (1.6456) Prec@1 55.625 (55.788) Prec@5 81.250 (84.435) Epoch: [77][11080/11272] Time 0.768 (0.802) Data 0.003 (0.002) Loss 1.7408 (1.6456) Prec@1 54.375 (55.787) Prec@5 83.750 (84.435) Epoch: [77][11090/11272] Time 0.843 (0.802) Data 0.002 (0.002) Loss 1.6647 (1.6456) Prec@1 55.625 (55.787) Prec@5 83.125 (84.435) Epoch: [77][11100/11272] Time 0.928 (0.802) Data 0.002 (0.002) Loss 1.6053 (1.6456) Prec@1 55.625 (55.785) Prec@5 83.750 (84.433) Epoch: [77][11110/11272] Time 0.733 (0.802) Data 0.002 (0.002) Loss 1.5891 (1.6456) Prec@1 57.500 (55.786) Prec@5 83.750 (84.433) Epoch: [77][11120/11272] Time 0.745 (0.802) Data 0.002 (0.002) Loss 1.8224 (1.6456) Prec@1 46.875 (55.787) Prec@5 79.375 (84.433) Epoch: [77][11130/11272] Time 0.887 (0.803) Data 0.002 (0.002) Loss 1.6457 (1.6456) Prec@1 53.750 (55.787) Prec@5 85.000 (84.433) Epoch: [77][11140/11272] Time 0.833 (0.803) Data 0.001 (0.002) Loss 1.4705 (1.6456) Prec@1 54.375 (55.787) Prec@5 88.750 (84.433) Epoch: [77][11150/11272] Time 0.754 (0.803) Data 0.002 (0.002) Loss 1.7336 (1.6456) Prec@1 56.250 (55.787) Prec@5 80.625 (84.433) Epoch: [77][11160/11272] Time 0.797 (0.803) Data 0.002 (0.002) Loss 1.6336 (1.6456) Prec@1 53.750 (55.787) Prec@5 85.000 (84.433) Epoch: [77][11170/11272] Time 0.871 (0.803) Data 0.002 (0.002) Loss 1.8780 (1.6456) Prec@1 51.250 (55.786) Prec@5 80.000 (84.432) Epoch: [77][11180/11272] Time 0.950 (0.803) Data 0.002 (0.002) Loss 1.6128 (1.6456) Prec@1 56.875 (55.788) Prec@5 84.375 (84.432) Epoch: [77][11190/11272] Time 0.756 (0.803) Data 0.002 (0.002) Loss 1.6609 (1.6455) Prec@1 58.125 (55.789) Prec@5 85.000 (84.432) Epoch: [77][11200/11272] Time 0.720 (0.803) Data 0.001 (0.002) Loss 1.6017 (1.6456) Prec@1 58.125 (55.789) Prec@5 84.375 (84.432) Epoch: [77][11210/11272] Time 0.870 (0.803) Data 0.002 (0.002) Loss 1.4723 (1.6456) Prec@1 59.375 (55.788) Prec@5 85.000 (84.432) Epoch: [77][11220/11272] Time 0.904 (0.803) Data 0.001 (0.002) Loss 1.7803 (1.6456) Prec@1 55.625 (55.789) Prec@5 80.625 (84.431) Epoch: [77][11230/11272] Time 0.792 (0.803) Data 0.002 (0.002) Loss 1.6653 (1.6456) Prec@1 54.375 (55.788) Prec@5 81.875 (84.431) Epoch: [77][11240/11272] Time 0.868 (0.803) Data 0.002 (0.002) Loss 1.7089 (1.6456) Prec@1 55.625 (55.788) Prec@5 81.250 (84.430) Epoch: [77][11250/11272] Time 0.816 (0.803) Data 0.002 (0.002) Loss 1.3797 (1.6456) Prec@1 60.625 (55.788) Prec@5 92.500 (84.430) Epoch: [77][11260/11272] Time 0.735 (0.803) Data 0.002 (0.002) Loss 1.8411 (1.6457) Prec@1 55.000 (55.788) Prec@5 79.375 (84.428) Epoch: [77][11270/11272] Time 0.731 (0.803) Data 0.000 (0.002) Loss 1.5982 (1.6457) Prec@1 56.875 (55.787) Prec@5 85.000 (84.428) Test: [0/229] Time 3.065 (3.065) Loss 1.0905 (1.0905) Prec@1 65.625 (65.625) Prec@5 94.375 (94.375) Test: [10/229] Time 0.366 (0.749) Loss 1.0049 (1.5561) Prec@1 68.125 (57.273) Prec@5 97.500 (87.216) Test: [20/229] Time 1.216 (0.686) Loss 2.0338 (1.6348) Prec@1 47.500 (54.583) Prec@5 81.875 (86.786) Test: [30/229] Time 0.309 (0.636) Loss 2.0395 (1.5843) Prec@1 38.750 (56.552) Prec@5 83.125 (87.097) Test: [40/229] Time 1.186 (0.637) Loss 0.3800 (1.5893) Prec@1 93.125 (56.631) Prec@5 96.250 (86.875) Test: [50/229] Time 0.331 (0.614) Loss 2.1705 (1.6443) Prec@1 41.250 (55.490) Prec@5 81.250 (85.882) Test: [60/229] Time 0.990 (0.613) Loss 2.1323 (1.6424) Prec@1 39.375 (55.348) Prec@5 83.750 (85.973) Test: [70/229] Time 0.329 (0.603) Loss 1.2594 (1.6616) Prec@1 70.000 (55.167) Prec@5 86.875 (85.766) Test: [80/229] Time 1.083 (0.604) Loss 1.9696 (1.6777) Prec@1 38.750 (54.398) Prec@5 89.375 (85.764) Test: [90/229] Time 0.389 (0.599) Loss 1.2334 (1.6883) Prec@1 74.375 (54.320) Prec@5 88.750 (85.659) Test: [100/229] Time 1.181 (0.600) Loss 2.1646 (1.6813) Prec@1 46.250 (54.641) Prec@5 83.125 (85.675) Test: [110/229] Time 0.375 (0.595) Loss 1.3911 (1.6607) Prec@1 60.000 (55.175) Prec@5 86.875 (85.833) Test: [120/229] Time 1.174 (0.596) Loss 2.7196 (1.6804) Prec@1 33.750 (54.618) Prec@5 78.750 (85.682) Test: [130/229] Time 0.342 (0.591) Loss 1.0460 (1.6636) Prec@1 65.625 (54.962) Prec@5 95.000 (85.792) Test: [140/229] Time 1.134 (0.593) Loss 1.7781 (1.6735) Prec@1 54.375 (54.743) Prec@5 81.875 (85.652) Test: [150/229] Time 0.319 (0.590) Loss 1.1034 (1.6829) Prec@1 73.750 (54.512) Prec@5 90.000 (85.629) Test: [160/229] Time 1.179 (0.592) Loss 1.6667 (1.6852) Prec@1 61.250 (54.398) Prec@5 83.750 (85.520) Test: [170/229] Time 0.310 (0.589) Loss 1.6134 (1.6944) Prec@1 55.000 (54.105) Prec@5 87.500 (85.365) Test: [180/229] Time 1.042 (0.590) Loss 2.2926 (1.7024) Prec@1 35.625 (54.064) Prec@5 75.625 (85.162) Test: [190/229] Time 0.303 (0.588) Loss 1.2821 (1.6903) Prec@1 63.750 (54.418) Prec@5 93.750 (85.304) Test: [200/229] Time 1.116 (0.589) Loss 1.5007 (1.6804) Prec@1 58.125 (54.571) Prec@5 85.625 (85.507) Test: [210/229] Time 0.429 (0.587) Loss 1.2011 (1.6700) Prec@1 63.750 (54.858) Prec@5 93.750 (85.664) Test: [220/229] Time 1.231 (0.588) Loss 1.5381 (1.6598) Prec@1 58.750 (55.206) Prec@5 89.375 (85.732) * Prec@1 55.518 Prec@5 85.793 Epoch: [78][0/11272] Time 4.435 (4.435) Data 3.578 (3.578) Loss 1.4771 (1.4771) Prec@1 54.375 (54.375) Prec@5 90.625 (90.625) Epoch: [78][10/11272] Time 0.713 (1.094) Data 0.001 (0.327) Loss 1.4900 (1.6130) Prec@1 60.625 (56.989) Prec@5 86.250 (85.170) Epoch: [78][20/11272] Time 0.815 (0.945) Data 0.002 (0.172) Loss 1.7031 (1.6240) Prec@1 49.375 (56.518) Prec@5 84.375 (84.613) Epoch: [78][30/11272] Time 0.709 (0.885) Data 0.003 (0.117) Loss 1.8120 (1.6461) Prec@1 50.000 (55.827) Prec@5 83.125 (84.355) Epoch: [78][40/11272] Time 0.727 (0.859) Data 0.002 (0.089) Loss 1.5421 (1.6289) Prec@1 61.875 (56.433) Prec@5 84.375 (84.634) Epoch: [78][50/11272] Time 0.865 (0.843) Data 0.002 (0.072) Loss 1.4511 (1.6223) Prec@1 61.875 (56.556) Prec@5 87.500 (84.755) Epoch: [78][60/11272] Time 0.810 (0.833) Data 0.002 (0.060) Loss 1.7100 (1.6097) Prec@1 53.125 (56.957) Prec@5 83.125 (84.949) Epoch: [78][70/11272] Time 0.683 (0.823) Data 0.001 (0.052) Loss 1.4265 (1.6124) Prec@1 58.750 (56.708) Prec@5 86.875 (84.850) Epoch: [78][80/11272] Time 0.727 (0.817) Data 0.002 (0.046) Loss 1.7016 (1.6206) Prec@1 55.000 (56.520) Prec@5 84.375 (84.684) Epoch: [78][90/11272] Time 0.821 (0.813) Data 0.001 (0.041) Loss 1.7540 (1.6247) Prec@1 51.250 (56.380) Prec@5 83.125 (84.595) Epoch: [78][100/11272] Time 0.847 (0.810) Data 0.002 (0.037) Loss 1.6090 (1.6228) Prec@1 56.250 (56.330) Prec@5 81.875 (84.623) Epoch: [78][110/11272] Time 0.720 (0.806) Data 0.001 (0.034) Loss 1.7341 (1.6234) Prec@1 50.000 (56.284) Prec@5 85.625 (84.696) Epoch: [78][120/11272] Time 0.726 (0.804) Data 0.001 (0.031) Loss 1.8265 (1.6264) Prec@1 53.750 (56.255) Prec@5 81.875 (84.628) Epoch: [78][130/11272] Time 0.810 (0.802) Data 0.001 (0.029) Loss 1.5219 (1.6281) Prec@1 59.375 (56.240) Prec@5 88.125 (84.652) Epoch: [78][140/11272] Time 0.824 (0.801) Data 0.002 (0.027) Loss 1.5887 (1.6235) Prec@1 55.000 (56.321) Prec@5 86.875 (84.685) Epoch: [78][150/11272] Time 0.723 (0.799) Data 0.001 (0.025) Loss 1.9318 (1.6260) Prec@1 53.125 (56.242) Prec@5 76.875 (84.665) Epoch: [78][160/11272] Time 0.845 (0.798) Data 0.002 (0.024) Loss 1.6377 (1.6289) Prec@1 58.750 (56.234) Prec@5 83.750 (84.550) Epoch: [78][170/11272] Time 0.821 (0.797) Data 0.001 (0.023) Loss 1.6897 (1.6318) Prec@1 53.125 (56.217) Prec@5 85.625 (84.547) Epoch: [78][180/11272] Time 0.786 (0.796) Data 0.002 (0.021) Loss 1.5045 (1.6291) Prec@1 59.375 (56.240) Prec@5 84.375 (84.551) Epoch: [78][190/11272] Time 0.705 (0.795) Data 0.001 (0.020) Loss 1.7882 (1.6327) Prec@1 56.875 (56.243) Prec@5 81.875 (84.512) Epoch: [78][200/11272] Time 0.813 (0.794) Data 0.001 (0.019) Loss 1.6008 (1.6337) Prec@1 55.625 (56.160) Prec@5 83.750 (84.521) Epoch: [78][210/11272] Time 0.814 (0.793) Data 0.002 (0.019) Loss 1.6109 (1.6363) Prec@1 58.125 (56.173) Prec@5 83.750 (84.408) Epoch: [78][220/11272] Time 0.738 (0.792) Data 0.001 (0.018) Loss 1.3801 (1.6314) Prec@1 61.875 (56.284) Prec@5 86.875 (84.485) Epoch: [78][230/11272] Time 0.712 (0.791) Data 0.002 (0.017) Loss 1.6981 (1.6298) Prec@1 56.875 (56.299) Prec@5 84.375 (84.518) Epoch: [78][240/11272] Time 0.819 (0.791) Data 0.002 (0.016) Loss 1.2912 (1.6308) Prec@1 65.000 (56.297) Prec@5 88.125 (84.476) Epoch: [78][250/11272] Time 0.824 (0.790) Data 0.002 (0.016) Loss 1.5676 (1.6297) Prec@1 58.750 (56.362) Prec@5 83.750 (84.485) Epoch: [78][260/11272] Time 0.723 (0.791) Data 0.001 (0.015) Loss 1.4572 (1.6285) Prec@1 58.125 (56.341) Prec@5 88.125 (84.492) Epoch: [78][270/11272] Time 0.736 (0.790) Data 0.002 (0.015) Loss 1.7067 (1.6268) Prec@1 56.250 (56.351) Prec@5 84.375 (84.546) Epoch: [78][280/11272] Time 0.859 (0.790) Data 0.002 (0.014) Loss 1.5411 (1.6267) Prec@1 59.375 (56.350) Prec@5 85.000 (84.584) Epoch: [78][290/11272] Time 0.719 (0.790) Data 0.003 (0.014) Loss 1.7333 (1.6269) Prec@1 55.625 (56.334) Prec@5 81.875 (84.590) Epoch: [78][300/11272] Time 0.722 (0.789) Data 0.001 (0.013) Loss 1.5585 (1.6247) Prec@1 55.000 (56.312) Prec@5 85.625 (84.659) Epoch: [78][310/11272] Time 0.819 (0.788) Data 0.001 (0.013) Loss 1.7780 (1.6271) Prec@1 51.875 (56.236) Prec@5 80.000 (84.636) Epoch: [78][320/11272] Time 0.815 (0.788) Data 0.002 (0.013) Loss 1.4006 (1.6256) Prec@1 63.125 (56.299) Prec@5 89.375 (84.651) Epoch: [78][330/11272] Time 0.719 (0.788) Data 0.002 (0.012) Loss 1.6989 (1.6234) Prec@1 53.125 (56.341) Prec@5 81.250 (84.681) Epoch: [78][340/11272] Time 0.724 (0.788) Data 0.001 (0.012) Loss 1.7302 (1.6216) Prec@1 52.500 (56.373) Prec@5 81.875 (84.723) Epoch: [78][350/11272] Time 0.834 (0.788) Data 0.002 (0.012) Loss 1.7005 (1.6218) Prec@1 53.750 (56.351) Prec@5 81.875 (84.712) Epoch: [78][360/11272] Time 0.825 (0.788) Data 0.001 (0.011) Loss 1.7585 (1.6214) Prec@1 53.125 (56.364) Prec@5 78.750 (84.706) Epoch: [78][370/11272] Time 0.712 (0.787) Data 0.001 (0.011) Loss 1.6690 (1.6224) Prec@1 55.000 (56.376) Prec@5 83.750 (84.683) Epoch: [78][380/11272] Time 0.713 (0.787) Data 0.002 (0.011) Loss 1.4714 (1.6198) Prec@1 59.375 (56.422) Prec@5 88.125 (84.728) Epoch: [78][390/11272] Time 0.846 (0.787) Data 0.002 (0.011) Loss 1.6530 (1.6216) Prec@1 58.125 (56.411) Prec@5 83.125 (84.682) Epoch: [78][400/11272] Time 0.783 (0.787) Data 0.001 (0.011) Loss 1.5536 (1.6208) Prec@1 57.500 (56.446) Prec@5 83.750 (84.696) Epoch: [78][410/11272] Time 0.716 (0.786) Data 0.002 (0.010) Loss 1.5863 (1.6212) Prec@1 54.375 (56.407) Prec@5 86.250 (84.696) Epoch: [78][420/11272] Time 0.806 (0.786) Data 0.002 (0.010) Loss 1.6613 (1.6208) Prec@1 56.250 (56.387) Prec@5 82.500 (84.721) Epoch: [78][430/11272] Time 0.823 (0.786) Data 0.001 (0.010) Loss 1.5875 (1.6222) Prec@1 60.625 (56.350) Prec@5 83.750 (84.695) Epoch: [78][440/11272] Time 0.708 (0.786) Data 0.001 (0.010) Loss 1.6441 (1.6231) Prec@1 53.125 (56.294) Prec@5 86.875 (84.683) Epoch: [78][450/11272] Time 0.746 (0.785) Data 0.002 (0.010) Loss 1.6982 (1.6228) Prec@1 52.500 (56.304) Prec@5 84.375 (84.695) Epoch: [78][460/11272] Time 0.849 (0.786) Data 0.001 (0.009) Loss 1.7539 (1.6236) Prec@1 55.625 (56.287) Prec@5 81.875 (84.681) Epoch: [78][470/11272] Time 0.818 (0.786) Data 0.002 (0.009) Loss 1.8462 (1.6246) Prec@1 53.125 (56.281) Prec@5 83.750 (84.679) Epoch: [78][480/11272] Time 0.739 (0.785) Data 0.001 (0.009) Loss 1.8063 (1.6224) Prec@1 53.125 (56.342) Prec@5 81.250 (84.702) Epoch: [78][490/11272] Time 0.745 (0.785) Data 0.002 (0.009) Loss 1.7695 (1.6238) Prec@1 55.000 (56.300) Prec@5 81.875 (84.691) Epoch: [78][500/11272] Time 0.844 (0.785) Data 0.002 (0.009) Loss 1.7330 (1.6241) Prec@1 53.125 (56.291) Prec@5 83.125 (84.674) Epoch: [78][510/11272] Time 0.824 (0.785) Data 0.002 (0.009) Loss 1.7961 (1.6248) Prec@1 49.375 (56.274) Prec@5 86.875 (84.681) Epoch: [78][520/11272] Time 0.723 (0.785) Data 0.002 (0.008) Loss 1.5705 (1.6256) Prec@1 58.750 (56.270) Prec@5 85.625 (84.667) Epoch: [78][530/11272] Time 0.723 (0.784) Data 0.002 (0.008) Loss 1.6248 (1.6257) Prec@1 56.875 (56.295) Prec@5 83.125 (84.637) Epoch: [78][540/11272] Time 0.805 (0.784) Data 0.001 (0.008) Loss 1.7474 (1.6259) Prec@1 50.625 (56.259) Prec@5 81.250 (84.637) Epoch: [78][550/11272] Time 0.817 (0.784) Data 0.002 (0.008) Loss 1.6149 (1.6266) Prec@1 53.125 (56.235) Prec@5 85.625 (84.620) Epoch: [78][560/11272] Time 0.723 (0.784) Data 0.002 (0.008) Loss 1.5964 (1.6264) Prec@1 56.875 (56.253) Prec@5 82.500 (84.626) Epoch: [78][570/11272] Time 0.895 (0.784) Data 0.001 (0.008) Loss 1.5383 (1.6285) Prec@1 60.000 (56.203) Prec@5 84.375 (84.583) Epoch: [78][580/11272] Time 0.838 (0.784) Data 0.002 (0.008) Loss 1.6593 (1.6293) Prec@1 51.250 (56.184) Prec@5 82.500 (84.547) Epoch: [78][590/11272] Time 0.749 (0.784) Data 0.002 (0.008) Loss 1.6477 (1.6294) Prec@1 52.500 (56.180) Prec@5 81.875 (84.541) Epoch: [78][600/11272] Time 0.720 (0.784) Data 0.001 (0.008) Loss 1.6670 (1.6294) Prec@1 56.250 (56.193) Prec@5 83.125 (84.547) Epoch: [78][610/11272] Time 0.846 (0.784) Data 0.002 (0.007) Loss 1.9363 (1.6287) Prec@1 51.875 (56.213) Prec@5 81.250 (84.547) Epoch: [78][620/11272] Time 0.835 (0.784) Data 0.001 (0.007) Loss 1.6011 (1.6279) Prec@1 56.875 (56.232) Prec@5 85.625 (84.564) Epoch: [78][630/11272] Time 0.732 (0.784) Data 0.002 (0.007) Loss 1.5851 (1.6281) Prec@1 58.125 (56.217) Prec@5 86.875 (84.559) Epoch: [78][640/11272] Time 0.708 (0.784) Data 0.002 (0.007) Loss 1.5355 (1.6292) Prec@1 56.250 (56.177) Prec@5 86.875 (84.552) Epoch: [78][650/11272] Time 0.828 (0.784) Data 0.001 (0.007) Loss 1.4454 (1.6285) Prec@1 59.375 (56.188) Prec@5 87.500 (84.571) Epoch: [78][660/11272] Time 0.825 (0.784) Data 0.002 (0.007) Loss 1.5378 (1.6279) Prec@1 56.250 (56.207) Prec@5 87.500 (84.598) Epoch: [78][670/11272] Time 0.719 (0.783) Data 0.002 (0.007) Loss 1.5794 (1.6279) Prec@1 55.625 (56.201) Prec@5 85.625 (84.609) Epoch: [78][680/11272] Time 0.757 (0.784) Data 0.002 (0.007) Loss 1.7375 (1.6282) Prec@1 56.875 (56.198) Prec@5 83.125 (84.610) Epoch: [78][690/11272] Time 0.817 (0.783) Data 0.002 (0.007) Loss 1.5966 (1.6285) Prec@1 58.750 (56.190) Prec@5 83.750 (84.607) Epoch: [78][700/11272] Time 0.739 (0.783) Data 0.001 (0.007) Loss 1.5896 (1.6290) Prec@1 56.875 (56.172) Prec@5 81.875 (84.585) Epoch: [78][710/11272] Time 0.730 (0.783) Data 0.001 (0.007) Loss 1.8585 (1.6291) Prec@1 54.375 (56.186) Prec@5 81.875 (84.580) Epoch: [78][720/11272] Time 0.826 (0.783) Data 0.001 (0.007) Loss 1.5500 (1.6297) Prec@1 55.000 (56.164) Prec@5 85.625 (84.561) Epoch: [78][730/11272] Time 0.822 (0.784) Data 0.001 (0.006) Loss 1.7922 (1.6302) Prec@1 55.000 (56.149) Prec@5 80.000 (84.554) Epoch: [78][740/11272] Time 0.739 (0.783) Data 0.002 (0.006) Loss 1.7650 (1.6297) Prec@1 54.375 (56.156) Prec@5 83.125 (84.571) Epoch: [78][750/11272] Time 0.715 (0.783) Data 0.002 (0.006) Loss 1.4988 (1.6305) Prec@1 55.625 (56.142) Prec@5 89.375 (84.566) Epoch: [78][760/11272] Time 0.852 (0.783) Data 0.002 (0.006) Loss 1.7560 (1.6295) Prec@1 53.750 (56.186) Prec@5 84.375 (84.588) Epoch: [78][770/11272] Time 0.782 (0.783) Data 0.001 (0.006) Loss 1.4706 (1.6293) Prec@1 57.500 (56.179) Prec@5 85.000 (84.595) Epoch: [78][780/11272] Time 0.730 (0.783) Data 0.002 (0.006) Loss 1.4975 (1.6294) Prec@1 61.250 (56.187) Prec@5 84.375 (84.583) Epoch: [78][790/11272] Time 0.716 (0.783) Data 0.001 (0.006) Loss 1.7094 (1.6292) Prec@1 54.375 (56.198) Prec@5 81.250 (84.585) Epoch: [78][800/11272] Time 0.815 (0.783) Data 0.001 (0.006) Loss 1.3901 (1.6288) Prec@1 61.250 (56.222) Prec@5 88.750 (84.596) Epoch: [78][810/11272] Time 0.826 (0.783) Data 0.001 (0.006) Loss 1.4204 (1.6286) Prec@1 63.125 (56.215) Prec@5 87.500 (84.601) Epoch: [78][820/11272] Time 0.706 (0.783) Data 0.002 (0.006) Loss 1.5941 (1.6291) Prec@1 57.500 (56.203) Prec@5 84.375 (84.590) Epoch: [78][830/11272] Time 0.789 (0.782) Data 0.002 (0.006) Loss 1.6507 (1.6291) Prec@1 53.125 (56.198) Prec@5 85.625 (84.593) Epoch: [78][840/11272] Time 0.800 (0.782) Data 0.001 (0.006) Loss 1.8311 (1.6291) Prec@1 55.000 (56.194) Prec@5 80.625 (84.603) Epoch: [78][850/11272] Time 0.724 (0.782) Data 0.001 (0.006) Loss 1.5935 (1.6295) Prec@1 60.625 (56.191) Prec@5 84.375 (84.601) Epoch: [78][860/11272] Time 0.739 (0.782) Data 0.002 (0.006) Loss 1.5188 (1.6296) Prec@1 56.875 (56.174) Prec@5 85.625 (84.601) Epoch: [78][870/11272] Time 0.813 (0.782) Data 0.001 (0.006) Loss 1.7434 (1.6301) Prec@1 51.250 (56.172) Prec@5 84.375 (84.594) Epoch: [78][880/11272] Time 0.885 (0.782) Data 0.002 (0.006) Loss 1.4488 (1.6302) Prec@1 62.500 (56.173) Prec@5 84.375 (84.581) Epoch: [78][890/11272] Time 0.708 (0.782) Data 0.002 (0.006) Loss 1.3140 (1.6302) Prec@1 61.875 (56.152) Prec@5 86.250 (84.590) Epoch: [78][900/11272] Time 0.736 (0.782) Data 0.002 (0.006) Loss 1.4793 (1.6301) Prec@1 61.250 (56.155) Prec@5 85.000 (84.591) Epoch: [78][910/11272] Time 0.833 (0.782) Data 0.002 (0.006) Loss 1.4444 (1.6302) Prec@1 63.750 (56.155) Prec@5 86.250 (84.588) Epoch: [78][920/11272] Time 0.857 (0.782) Data 0.002 (0.005) Loss 1.6907 (1.6308) Prec@1 56.250 (56.135) Prec@5 84.375 (84.579) Epoch: [78][930/11272] Time 0.725 (0.782) Data 0.002 (0.005) Loss 1.7176 (1.6308) Prec@1 53.125 (56.123) Prec@5 82.500 (84.584) Epoch: [78][940/11272] Time 0.714 (0.781) Data 0.001 (0.005) Loss 1.4977 (1.6304) Prec@1 60.625 (56.139) Prec@5 88.125 (84.597) Epoch: [78][950/11272] Time 0.830 (0.781) Data 0.002 (0.005) Loss 1.8750 (1.6309) Prec@1 51.250 (56.138) Prec@5 81.250 (84.596) Epoch: [78][960/11272] Time 0.734 (0.781) Data 0.003 (0.005) Loss 1.5650 (1.6309) Prec@1 58.125 (56.137) Prec@5 86.875 (84.598) Epoch: [78][970/11272] Time 0.744 (0.781) Data 0.001 (0.005) Loss 1.6604 (1.6312) Prec@1 54.375 (56.137) Prec@5 83.750 (84.598) Epoch: [78][980/11272] Time 0.829 (0.781) Data 0.002 (0.005) Loss 1.7322 (1.6314) Prec@1 50.625 (56.130) Prec@5 85.000 (84.604) Epoch: [78][990/11272] Time 0.828 (0.782) Data 0.002 (0.005) Loss 1.7558 (1.6313) Prec@1 51.250 (56.136) Prec@5 81.250 (84.598) Epoch: [78][1000/11272] Time 0.733 (0.782) Data 0.002 (0.005) Loss 1.6844 (1.6315) Prec@1 53.750 (56.127) Prec@5 85.000 (84.592) Epoch: [78][1010/11272] Time 0.719 (0.782) Data 0.002 (0.005) Loss 1.5750 (1.6308) Prec@1 53.125 (56.134) Prec@5 83.750 (84.611) Epoch: [78][1020/11272] Time 0.825 (0.782) Data 0.001 (0.005) Loss 1.6425 (1.6300) Prec@1 58.750 (56.165) Prec@5 83.125 (84.617) Epoch: [78][1030/11272] Time 0.798 (0.781) Data 0.002 (0.005) Loss 1.6567 (1.6303) Prec@1 57.500 (56.160) Prec@5 83.750 (84.613) Epoch: [78][1040/11272] Time 0.749 (0.781) Data 0.001 (0.005) Loss 1.6635 (1.6309) Prec@1 58.750 (56.167) Prec@5 83.750 (84.600) Epoch: [78][1050/11272] Time 0.706 (0.781) Data 0.001 (0.005) Loss 1.8428 (1.6311) Prec@1 53.750 (56.159) Prec@5 78.125 (84.590) Epoch: [78][1060/11272] Time 0.848 (0.781) Data 0.002 (0.005) Loss 1.5666 (1.6312) Prec@1 60.000 (56.155) Prec@5 85.625 (84.591) Epoch: [78][1070/11272] Time 0.857 (0.781) Data 0.002 (0.005) Loss 1.8112 (1.6313) Prec@1 53.750 (56.161) Prec@5 83.125 (84.593) Epoch: [78][1080/11272] Time 0.730 (0.781) Data 0.002 (0.005) Loss 1.6537 (1.6312) Prec@1 56.250 (56.159) Prec@5 88.125 (84.598) Epoch: [78][1090/11272] Time 0.832 (0.781) Data 0.002 (0.005) Loss 1.9080 (1.6311) Prec@1 50.000 (56.165) Prec@5 78.125 (84.598) Epoch: [78][1100/11272] Time 0.854 (0.781) Data 0.001 (0.005) Loss 1.7237 (1.6310) Prec@1 54.375 (56.163) Prec@5 83.750 (84.608) Epoch: [78][1110/11272] Time 0.752 (0.781) Data 0.001 (0.005) Loss 1.5783 (1.6301) Prec@1 58.750 (56.183) Prec@5 80.625 (84.619) Epoch: [78][1120/11272] Time 0.718 (0.781) Data 0.002 (0.005) Loss 1.9565 (1.6303) Prec@1 49.375 (56.180) Prec@5 80.000 (84.616) Epoch: [78][1130/11272] Time 0.858 (0.781) Data 0.001 (0.005) Loss 1.7492 (1.6299) Prec@1 52.500 (56.181) Prec@5 80.000 (84.624) Epoch: [78][1140/11272] Time 0.807 (0.781) Data 0.001 (0.005) Loss 1.7302 (1.6299) Prec@1 52.500 (56.180) Prec@5 83.750 (84.625) Epoch: [78][1150/11272] Time 0.730 (0.781) Data 0.002 (0.005) Loss 1.9591 (1.6301) Prec@1 49.375 (56.175) Prec@5 80.625 (84.617) Epoch: [78][1160/11272] Time 0.710 (0.781) Data 0.002 (0.005) Loss 1.5865 (1.6299) Prec@1 59.375 (56.172) Prec@5 82.500 (84.617) Epoch: [78][1170/11272] Time 0.894 (0.781) Data 0.003 (0.005) Loss 1.8235 (1.6300) Prec@1 52.500 (56.174) Prec@5 79.375 (84.618) Epoch: [78][1180/11272] Time 0.795 (0.781) Data 0.001 (0.005) Loss 1.7224 (1.6303) Prec@1 55.000 (56.162) Prec@5 83.750 (84.621) Epoch: [78][1190/11272] Time 0.742 (0.781) Data 0.001 (0.005) Loss 1.6148 (1.6304) Prec@1 58.750 (56.153) Prec@5 88.125 (84.624) Epoch: [78][1200/11272] Time 0.704 (0.781) Data 0.001 (0.005) Loss 1.4484 (1.6298) Prec@1 61.875 (56.166) Prec@5 83.750 (84.640) Epoch: [78][1210/11272] Time 0.808 (0.781) Data 0.002 (0.005) Loss 1.7748 (1.6298) Prec@1 55.000 (56.160) Prec@5 81.250 (84.642) Epoch: [78][1220/11272] Time 0.713 (0.781) Data 0.003 (0.005) Loss 1.7908 (1.6293) Prec@1 53.125 (56.180) Prec@5 83.125 (84.653) Epoch: [78][1230/11272] Time 0.765 (0.781) Data 0.002 (0.004) Loss 1.5287 (1.6294) Prec@1 58.750 (56.184) Prec@5 84.375 (84.650) Epoch: [78][1240/11272] Time 0.830 (0.781) Data 0.001 (0.004) Loss 1.3448 (1.6289) Prec@1 65.000 (56.203) Prec@5 87.500 (84.652) Epoch: [78][1250/11272] Time 0.838 (0.781) Data 0.002 (0.004) Loss 1.6266 (1.6289) Prec@1 57.500 (56.202) Prec@5 86.250 (84.657) Epoch: [78][1260/11272] Time 0.721 (0.781) Data 0.002 (0.004) Loss 1.5492 (1.6289) Prec@1 59.375 (56.202) Prec@5 87.500 (84.663) Epoch: [78][1270/11272] Time 0.759 (0.781) Data 0.002 (0.004) Loss 1.4747 (1.6290) Prec@1 60.000 (56.201) Prec@5 88.750 (84.669) Epoch: [78][1280/11272] Time 0.802 (0.781) Data 0.001 (0.004) Loss 1.5889 (1.6291) Prec@1 58.750 (56.206) Prec@5 86.250 (84.657) Epoch: [78][1290/11272] Time 0.828 (0.781) Data 0.002 (0.004) Loss 1.7558 (1.6291) Prec@1 52.500 (56.197) Prec@5 82.500 (84.658) Epoch: [78][1300/11272] Time 0.734 (0.781) Data 0.002 (0.004) Loss 1.7867 (1.6293) Prec@1 53.125 (56.189) Prec@5 83.750 (84.652) Epoch: [78][1310/11272] Time 0.718 (0.781) Data 0.002 (0.004) Loss 1.6128 (1.6292) Prec@1 56.250 (56.196) Prec@5 81.875 (84.658) Epoch: [78][1320/11272] Time 0.848 (0.781) Data 0.002 (0.004) Loss 2.0263 (1.6293) Prec@1 46.875 (56.194) Prec@5 76.875 (84.657) Epoch: [78][1330/11272] Time 0.789 (0.781) Data 0.001 (0.004) Loss 1.7843 (1.6295) Prec@1 55.625 (56.193) Prec@5 82.500 (84.653) Epoch: [78][1340/11272] Time 0.714 (0.781) Data 0.001 (0.004) Loss 1.5226 (1.6299) Prec@1 58.750 (56.186) Prec@5 85.625 (84.640) Epoch: [78][1350/11272] Time 0.875 (0.781) Data 0.002 (0.004) Loss 1.5622 (1.6298) Prec@1 59.375 (56.190) Prec@5 84.375 (84.646) Epoch: [78][1360/11272] Time 0.812 (0.781) Data 0.001 (0.004) Loss 1.7777 (1.6296) Prec@1 52.500 (56.198) Prec@5 83.750 (84.649) Epoch: [78][1370/11272] Time 0.718 (0.781) Data 0.001 (0.004) Loss 1.4873 (1.6296) Prec@1 60.625 (56.190) Prec@5 88.125 (84.654) Epoch: [78][1380/11272] Time 0.740 (0.781) Data 0.001 (0.004) Loss 1.4357 (1.6290) Prec@1 59.375 (56.203) Prec@5 88.125 (84.676) Epoch: [78][1390/11272] Time 0.874 (0.781) Data 0.002 (0.004) Loss 1.7333 (1.6289) Prec@1 49.375 (56.204) Prec@5 83.750 (84.677) Epoch: [78][1400/11272] Time 0.838 (0.781) Data 0.001 (0.004) Loss 1.5048 (1.6286) Prec@1 60.000 (56.209) Prec@5 88.750 (84.682) Epoch: [78][1410/11272] Time 0.718 (0.781) Data 0.002 (0.004) Loss 1.7413 (1.6287) Prec@1 60.625 (56.211) Prec@5 80.625 (84.682) Epoch: [78][1420/11272] Time 0.731 (0.781) Data 0.002 (0.004) Loss 1.6955 (1.6288) Prec@1 55.000 (56.208) Prec@5 86.250 (84.680) Epoch: [78][1430/11272] Time 0.799 (0.781) Data 0.001 (0.004) Loss 1.6838 (1.6288) Prec@1 52.500 (56.201) Prec@5 81.875 (84.676) Epoch: [78][1440/11272] Time 0.819 (0.781) Data 0.002 (0.004) Loss 1.3147 (1.6283) Prec@1 66.250 (56.217) Prec@5 89.375 (84.681) Epoch: [78][1450/11272] Time 0.754 (0.781) Data 0.002 (0.004) Loss 1.6866 (1.6286) Prec@1 55.000 (56.216) Prec@5 78.125 (84.670) Epoch: [78][1460/11272] Time 0.745 (0.781) Data 0.002 (0.004) Loss 1.5471 (1.6281) Prec@1 54.375 (56.229) Prec@5 88.125 (84.684) Epoch: [78][1470/11272] Time 0.842 (0.781) Data 0.002 (0.004) Loss 1.8193 (1.6282) Prec@1 48.125 (56.225) Prec@5 81.250 (84.684) Epoch: [78][1480/11272] Time 0.781 (0.781) Data 0.002 (0.004) Loss 1.6050 (1.6280) Prec@1 61.875 (56.236) Prec@5 83.125 (84.685) Epoch: [78][1490/11272] Time 0.719 (0.781) Data 0.002 (0.004) Loss 1.4107 (1.6279) Prec@1 58.125 (56.236) Prec@5 88.750 (84.686) Epoch: [78][1500/11272] Time 0.825 (0.781) Data 0.001 (0.004) Loss 1.4892 (1.6279) Prec@1 56.875 (56.229) Prec@5 87.500 (84.690) Epoch: [78][1510/11272] Time 0.837 (0.781) Data 0.002 (0.004) Loss 1.8658 (1.6281) Prec@1 48.750 (56.223) Prec@5 81.250 (84.687) Epoch: [78][1520/11272] Time 0.725 (0.780) Data 0.001 (0.004) Loss 1.6772 (1.6279) Prec@1 47.500 (56.225) Prec@5 88.750 (84.689) Epoch: [78][1530/11272] Time 0.719 (0.780) Data 0.002 (0.004) Loss 1.3279 (1.6276) Prec@1 60.000 (56.234) Prec@5 88.750 (84.693) Epoch: [78][1540/11272] Time 0.824 (0.780) Data 0.001 (0.004) Loss 1.6966 (1.6277) Prec@1 57.500 (56.227) Prec@5 83.750 (84.691) Epoch: [78][1550/11272] Time 0.825 (0.780) Data 0.001 (0.004) Loss 1.5488 (1.6271) Prec@1 58.750 (56.238) Prec@5 87.500 (84.701) Epoch: [78][1560/11272] Time 0.741 (0.780) Data 0.001 (0.004) Loss 1.4372 (1.6272) Prec@1 60.625 (56.241) Prec@5 86.250 (84.695) Epoch: [78][1570/11272] Time 0.739 (0.780) Data 0.001 (0.004) Loss 1.6789 (1.6271) Prec@1 55.625 (56.243) Prec@5 82.500 (84.699) Epoch: [78][1580/11272] Time 0.830 (0.781) Data 0.002 (0.004) Loss 1.6542 (1.6275) Prec@1 54.375 (56.242) Prec@5 80.000 (84.691) Epoch: [78][1590/11272] Time 0.828 (0.780) Data 0.002 (0.004) Loss 1.7489 (1.6278) Prec@1 52.500 (56.237) Prec@5 83.125 (84.685) Epoch: [78][1600/11272] Time 0.729 (0.780) Data 0.002 (0.004) Loss 1.9023 (1.6276) Prec@1 50.625 (56.236) Prec@5 80.625 (84.692) Epoch: [78][1610/11272] Time 0.719 (0.781) Data 0.001 (0.004) Loss 1.5688 (1.6275) Prec@1 53.125 (56.244) Prec@5 88.750 (84.699) Epoch: [78][1620/11272] Time 0.860 (0.781) Data 0.002 (0.004) Loss 1.7031 (1.6279) Prec@1 54.375 (56.238) Prec@5 81.875 (84.689) Epoch: [78][1630/11272] Time 0.697 (0.780) Data 0.001 (0.004) Loss 1.6464 (1.6275) Prec@1 58.750 (56.243) Prec@5 85.000 (84.694) Epoch: [78][1640/11272] Time 0.711 (0.780) Data 0.002 (0.004) Loss 1.3440 (1.6275) Prec@1 58.750 (56.239) Prec@5 91.250 (84.697) Epoch: [78][1650/11272] Time 0.820 (0.780) Data 0.002 (0.004) Loss 1.5435 (1.6272) Prec@1 60.625 (56.247) Prec@5 83.750 (84.702) Epoch: [78][1660/11272] Time 0.830 (0.780) Data 0.002 (0.004) Loss 1.6462 (1.6273) Prec@1 58.125 (56.246) Prec@5 84.375 (84.699) Epoch: [78][1670/11272] Time 0.698 (0.780) Data 0.001 (0.004) Loss 1.6681 (1.6273) Prec@1 53.750 (56.246) Prec@5 85.000 (84.700) Epoch: [78][1680/11272] Time 0.722 (0.780) Data 0.002 (0.004) Loss 1.7480 (1.6273) Prec@1 50.000 (56.241) Prec@5 86.250 (84.698) Epoch: [78][1690/11272] Time 0.828 (0.780) Data 0.002 (0.004) Loss 1.5760 (1.6269) Prec@1 56.250 (56.247) Prec@5 84.375 (84.709) Epoch: [78][1700/11272] Time 0.815 (0.780) Data 0.001 (0.004) Loss 1.4155 (1.6269) Prec@1 60.000 (56.248) Prec@5 88.125 (84.709) Epoch: [78][1710/11272] Time 0.737 (0.780) Data 0.001 (0.004) Loss 1.5964 (1.6270) Prec@1 56.250 (56.247) Prec@5 84.375 (84.715) Epoch: [78][1720/11272] Time 0.722 (0.780) Data 0.002 (0.004) Loss 1.5338 (1.6263) Prec@1 55.625 (56.258) Prec@5 88.125 (84.728) Epoch: [78][1730/11272] Time 0.816 (0.780) Data 0.002 (0.004) Loss 1.5671 (1.6265) Prec@1 54.375 (56.255) Prec@5 86.250 (84.728) Epoch: [78][1740/11272] Time 0.831 (0.780) Data 0.002 (0.004) Loss 1.6077 (1.6265) Prec@1 61.250 (56.247) Prec@5 83.125 (84.727) Epoch: [78][1750/11272] Time 0.785 (0.780) Data 0.002 (0.004) Loss 1.5754 (1.6262) Prec@1 60.625 (56.251) Prec@5 85.000 (84.732) Epoch: [78][1760/11272] Time 0.811 (0.780) Data 0.001 (0.004) Loss 1.5694 (1.6264) Prec@1 61.250 (56.250) Prec@5 85.625 (84.726) Epoch: [78][1770/11272] Time 0.826 (0.780) Data 0.001 (0.004) Loss 1.7413 (1.6265) Prec@1 56.875 (56.251) Prec@5 82.500 (84.724) Epoch: [78][1780/11272] Time 0.720 (0.780) Data 0.001 (0.004) Loss 1.5692 (1.6263) Prec@1 55.000 (56.256) Prec@5 86.875 (84.729) Epoch: [78][1790/11272] Time 0.725 (0.780) Data 0.002 (0.004) Loss 1.7911 (1.6261) Prec@1 53.750 (56.260) Prec@5 81.875 (84.734) Epoch: [78][1800/11272] Time 0.844 (0.780) Data 0.002 (0.004) Loss 1.7281 (1.6260) Prec@1 58.750 (56.271) Prec@5 83.125 (84.736) Epoch: [78][1810/11272] Time 0.801 (0.780) Data 0.002 (0.004) Loss 1.4690 (1.6260) Prec@1 64.375 (56.276) Prec@5 88.750 (84.739) Epoch: [78][1820/11272] Time 0.704 (0.780) Data 0.001 (0.004) Loss 1.5283 (1.6262) Prec@1 58.125 (56.270) Prec@5 88.125 (84.734) Epoch: [78][1830/11272] Time 0.761 (0.780) Data 0.001 (0.004) Loss 1.5981 (1.6263) Prec@1 62.500 (56.276) Prec@5 83.125 (84.730) Epoch: [78][1840/11272] Time 0.842 (0.780) Data 0.001 (0.004) Loss 1.5055 (1.6261) Prec@1 55.625 (56.280) Prec@5 85.625 (84.735) Epoch: [78][1850/11272] Time 0.849 (0.780) Data 0.002 (0.004) Loss 1.6084 (1.6261) Prec@1 56.875 (56.281) Prec@5 86.250 (84.733) Epoch: [78][1860/11272] Time 0.715 (0.780) Data 0.001 (0.004) Loss 1.6381 (1.6264) Prec@1 55.625 (56.269) Prec@5 85.625 (84.725) Epoch: [78][1870/11272] Time 0.745 (0.780) Data 0.002 (0.004) Loss 1.4680 (1.6264) Prec@1 58.125 (56.267) Prec@5 85.000 (84.725) Epoch: [78][1880/11272] Time 0.832 (0.780) Data 0.001 (0.003) Loss 1.5926 (1.6265) Prec@1 58.750 (56.260) Prec@5 85.000 (84.725) Epoch: [78][1890/11272] Time 0.735 (0.780) Data 0.003 (0.003) Loss 1.7372 (1.6269) Prec@1 48.750 (56.244) Prec@5 82.500 (84.718) Epoch: [78][1900/11272] Time 0.715 (0.780) Data 0.001 (0.003) Loss 1.6587 (1.6271) Prec@1 56.875 (56.242) Prec@5 81.250 (84.708) Epoch: [78][1910/11272] Time 0.826 (0.780) Data 0.002 (0.003) Loss 1.6877 (1.6270) Prec@1 55.000 (56.241) Prec@5 83.750 (84.711) Epoch: [78][1920/11272] Time 0.816 (0.780) Data 0.002 (0.003) Loss 1.6377 (1.6270) Prec@1 52.500 (56.235) Prec@5 85.625 (84.711) Epoch: [78][1930/11272] Time 0.740 (0.780) Data 0.002 (0.003) Loss 1.7046 (1.6269) Prec@1 54.375 (56.238) Prec@5 84.375 (84.709) Epoch: [78][1940/11272] Time 0.729 (0.780) Data 0.002 (0.003) Loss 1.6346 (1.6269) Prec@1 55.000 (56.228) Prec@5 82.500 (84.707) Epoch: [78][1950/11272] Time 0.791 (0.780) Data 0.002 (0.003) Loss 1.5637 (1.6268) Prec@1 59.375 (56.228) Prec@5 86.250 (84.708) Epoch: [78][1960/11272] Time 0.825 (0.780) Data 0.002 (0.003) Loss 1.6133 (1.6265) Prec@1 54.375 (56.234) Prec@5 83.750 (84.711) Epoch: [78][1970/11272] Time 0.736 (0.780) Data 0.001 (0.003) Loss 1.5256 (1.6267) Prec@1 59.375 (56.230) Prec@5 86.875 (84.707) Epoch: [78][1980/11272] Time 0.718 (0.780) Data 0.002 (0.003) Loss 1.6448 (1.6267) Prec@1 55.625 (56.234) Prec@5 81.875 (84.708) Epoch: [78][1990/11272] Time 0.842 (0.780) Data 0.001 (0.003) Loss 1.5929 (1.6268) Prec@1 55.000 (56.233) Prec@5 85.000 (84.706) Epoch: [78][2000/11272] Time 0.806 (0.780) Data 0.002 (0.003) Loss 1.5951 (1.6270) Prec@1 52.500 (56.233) Prec@5 84.375 (84.704) Epoch: [78][2010/11272] Time 0.718 (0.780) Data 0.002 (0.003) Loss 1.5626 (1.6271) Prec@1 56.250 (56.227) Prec@5 85.625 (84.703) Epoch: [78][2020/11272] Time 0.833 (0.780) Data 0.002 (0.003) Loss 1.7822 (1.6274) Prec@1 53.125 (56.220) Prec@5 79.375 (84.698) Epoch: [78][2030/11272] Time 0.805 (0.780) Data 0.001 (0.003) Loss 1.5997 (1.6271) Prec@1 58.125 (56.232) Prec@5 84.375 (84.703) Epoch: [78][2040/11272] Time 0.726 (0.780) Data 0.001 (0.003) Loss 1.5020 (1.6274) Prec@1 63.125 (56.227) Prec@5 87.500 (84.701) Epoch: [78][2050/11272] Time 0.723 (0.780) Data 0.002 (0.003) Loss 1.7465 (1.6274) Prec@1 50.625 (56.234) Prec@5 85.625 (84.702) Epoch: [78][2060/11272] Time 0.854 (0.780) Data 0.002 (0.003) Loss 1.4406 (1.6276) Prec@1 65.000 (56.221) Prec@5 86.875 (84.700) Epoch: [78][2070/11272] Time 0.774 (0.780) Data 0.001 (0.003) Loss 1.7151 (1.6278) Prec@1 56.250 (56.224) Prec@5 81.875 (84.697) Epoch: [78][2080/11272] Time 0.740 (0.780) Data 0.002 (0.003) Loss 1.5224 (1.6278) Prec@1 55.000 (56.224) Prec@5 85.000 (84.694) Epoch: [78][2090/11272] Time 0.743 (0.780) Data 0.002 (0.003) Loss 1.5239 (1.6277) Prec@1 58.750 (56.231) Prec@5 90.000 (84.695) Epoch: [78][2100/11272] Time 0.794 (0.780) Data 0.001 (0.003) Loss 1.5236 (1.6278) Prec@1 57.500 (56.226) Prec@5 83.125 (84.692) Epoch: [78][2110/11272] Time 0.810 (0.780) Data 0.002 (0.003) Loss 1.7300 (1.6274) Prec@1 50.000 (56.232) Prec@5 85.625 (84.698) Epoch: [78][2120/11272] Time 0.687 (0.780) Data 0.001 (0.003) Loss 2.1146 (1.6277) Prec@1 45.625 (56.232) Prec@5 74.375 (84.693) Epoch: [78][2130/11272] Time 0.733 (0.780) Data 0.002 (0.003) Loss 1.8054 (1.6274) Prec@1 53.125 (56.238) Prec@5 79.375 (84.696) Epoch: [78][2140/11272] Time 0.841 (0.780) Data 0.002 (0.003) Loss 1.6469 (1.6275) Prec@1 56.250 (56.234) Prec@5 86.250 (84.692) Epoch: [78][2150/11272] Time 0.716 (0.780) Data 0.003 (0.003) Loss 1.6966 (1.6276) Prec@1 54.375 (56.237) Prec@5 85.000 (84.689) Epoch: [78][2160/11272] Time 0.741 (0.780) Data 0.001 (0.003) Loss 1.6200 (1.6277) Prec@1 58.125 (56.239) Prec@5 83.125 (84.686) Epoch: [78][2170/11272] Time 0.846 (0.780) Data 0.001 (0.003) Loss 1.3279 (1.6274) Prec@1 65.000 (56.245) Prec@5 90.625 (84.693) Epoch: [78][2180/11272] Time 0.825 (0.780) Data 0.002 (0.003) Loss 1.4352 (1.6273) Prec@1 59.375 (56.244) Prec@5 87.500 (84.695) Epoch: [78][2190/11272] Time 0.710 (0.780) Data 0.001 (0.003) Loss 1.8669 (1.6277) Prec@1 46.875 (56.233) Prec@5 80.625 (84.689) Epoch: [78][2200/11272] Time 0.727 (0.780) Data 0.001 (0.003) Loss 1.7149 (1.6275) Prec@1 58.750 (56.245) Prec@5 81.875 (84.692) Epoch: [78][2210/11272] Time 0.840 (0.780) Data 0.001 (0.003) Loss 1.3970 (1.6275) Prec@1 65.000 (56.243) Prec@5 88.125 (84.692) Epoch: [78][2220/11272] Time 0.804 (0.780) Data 0.001 (0.003) Loss 1.7046 (1.6273) Prec@1 55.000 (56.255) Prec@5 80.000 (84.692) Epoch: [78][2230/11272] Time 0.711 (0.780) Data 0.002 (0.003) Loss 1.5881 (1.6271) Prec@1 53.750 (56.256) Prec@5 85.625 (84.690) Epoch: [78][2240/11272] Time 0.716 (0.780) Data 0.001 (0.003) Loss 1.7921 (1.6273) Prec@1 53.750 (56.257) Prec@5 79.375 (84.694) Epoch: [78][2250/11272] Time 0.801 (0.780) Data 0.001 (0.003) Loss 1.4279 (1.6272) Prec@1 61.250 (56.255) Prec@5 90.625 (84.697) Epoch: [78][2260/11272] Time 0.823 (0.780) Data 0.002 (0.003) Loss 1.7498 (1.6274) Prec@1 53.750 (56.249) Prec@5 82.500 (84.694) Epoch: [78][2270/11272] Time 0.714 (0.779) Data 0.001 (0.003) Loss 1.4318 (1.6273) Prec@1 62.500 (56.251) Prec@5 86.875 (84.695) Epoch: [78][2280/11272] Time 0.811 (0.779) Data 0.002 (0.003) Loss 1.4381 (1.6271) Prec@1 61.875 (56.257) Prec@5 87.500 (84.696) Epoch: [78][2290/11272] Time 0.852 (0.779) Data 0.002 (0.003) Loss 1.5252 (1.6270) Prec@1 57.500 (56.263) Prec@5 85.000 (84.697) Epoch: [78][2300/11272] Time 0.725 (0.779) Data 0.001 (0.003) Loss 1.4383 (1.6270) Prec@1 63.125 (56.265) Prec@5 85.625 (84.696) Epoch: [78][2310/11272] Time 0.714 (0.779) Data 0.002 (0.003) Loss 1.7073 (1.6272) Prec@1 53.750 (56.258) Prec@5 83.125 (84.692) Epoch: [78][2320/11272] Time 0.837 (0.779) Data 0.001 (0.003) Loss 1.4741 (1.6270) Prec@1 64.375 (56.265) Prec@5 83.750 (84.695) Epoch: [78][2330/11272] Time 0.803 (0.779) Data 0.001 (0.003) Loss 1.6845 (1.6272) Prec@1 58.125 (56.261) Prec@5 84.375 (84.694) Epoch: [78][2340/11272] Time 0.694 (0.779) Data 0.001 (0.003) Loss 1.6131 (1.6274) Prec@1 61.875 (56.259) Prec@5 86.250 (84.691) Epoch: [78][2350/11272] Time 0.729 (0.779) Data 0.002 (0.003) Loss 1.6676 (1.6274) Prec@1 50.625 (56.257) Prec@5 85.000 (84.688) Epoch: [78][2360/11272] Time 0.816 (0.779) Data 0.002 (0.003) Loss 1.6095 (1.6272) Prec@1 57.500 (56.264) Prec@5 86.250 (84.693) Epoch: [78][2370/11272] Time 0.825 (0.779) Data 0.001 (0.003) Loss 1.6927 (1.6271) Prec@1 53.125 (56.277) Prec@5 83.750 (84.697) Epoch: [78][2380/11272] Time 0.757 (0.779) Data 0.002 (0.003) Loss 1.6865 (1.6270) Prec@1 56.250 (56.285) Prec@5 84.375 (84.702) Epoch: [78][2390/11272] Time 0.744 (0.779) Data 0.002 (0.003) Loss 1.5371 (1.6269) Prec@1 60.000 (56.288) Prec@5 84.375 (84.705) Epoch: [78][2400/11272] Time 0.808 (0.779) Data 0.001 (0.003) Loss 1.6541 (1.6269) Prec@1 56.250 (56.287) Prec@5 85.000 (84.710) Epoch: [78][2410/11272] Time 0.806 (0.779) Data 0.001 (0.003) Loss 1.4925 (1.6266) Prec@1 56.250 (56.294) Prec@5 88.750 (84.713) Epoch: [78][2420/11272] Time 0.741 (0.779) Data 0.002 (0.003) Loss 1.5489 (1.6267) Prec@1 62.500 (56.298) Prec@5 82.500 (84.706) Epoch: [78][2430/11272] Time 0.812 (0.779) Data 0.001 (0.003) Loss 1.6965 (1.6267) Prec@1 55.625 (56.296) Prec@5 81.875 (84.705) Epoch: [78][2440/11272] Time 0.799 (0.779) Data 0.001 (0.003) Loss 1.6787 (1.6270) Prec@1 55.000 (56.291) Prec@5 82.500 (84.698) Epoch: [78][2450/11272] Time 0.718 (0.779) Data 0.001 (0.003) Loss 1.4509 (1.6271) Prec@1 61.875 (56.290) Prec@5 87.500 (84.697) Epoch: [78][2460/11272] Time 0.710 (0.779) Data 0.002 (0.003) Loss 1.6330 (1.6271) Prec@1 55.000 (56.287) Prec@5 85.625 (84.696) Epoch: [78][2470/11272] Time 0.827 (0.779) Data 0.001 (0.003) Loss 1.9113 (1.6273) Prec@1 48.750 (56.279) Prec@5 82.500 (84.694) Epoch: [78][2480/11272] Time 0.883 (0.779) Data 0.002 (0.003) Loss 1.4889 (1.6276) Prec@1 61.875 (56.276) Prec@5 88.750 (84.689) Epoch: [78][2490/11272] Time 0.739 (0.779) Data 0.001 (0.003) Loss 1.4788 (1.6274) Prec@1 58.125 (56.278) Prec@5 85.625 (84.689) Epoch: [78][2500/11272] Time 0.761 (0.779) Data 0.001 (0.003) Loss 1.6516 (1.6275) Prec@1 58.750 (56.278) Prec@5 83.750 (84.689) Epoch: [78][2510/11272] Time 0.837 (0.779) Data 0.002 (0.003) Loss 1.7170 (1.6275) Prec@1 57.500 (56.282) Prec@5 85.625 (84.691) Epoch: [78][2520/11272] Time 0.840 (0.779) Data 0.001 (0.003) Loss 1.5095 (1.6279) Prec@1 58.125 (56.271) Prec@5 88.125 (84.688) Epoch: [78][2530/11272] Time 0.714 (0.779) Data 0.001 (0.003) Loss 1.8034 (1.6279) Prec@1 51.875 (56.266) Prec@5 81.250 (84.692) Epoch: [78][2540/11272] Time 0.724 (0.779) Data 0.002 (0.003) Loss 1.8059 (1.6282) Prec@1 48.750 (56.260) Prec@5 81.250 (84.689) Epoch: [78][2550/11272] Time 0.840 (0.779) Data 0.002 (0.003) Loss 1.4317 (1.6281) Prec@1 57.500 (56.254) Prec@5 89.375 (84.692) Epoch: [78][2560/11272] Time 0.714 (0.779) Data 0.001 (0.003) Loss 1.3365 (1.6281) Prec@1 66.250 (56.262) Prec@5 90.625 (84.691) Epoch: [78][2570/11272] Time 0.727 (0.779) Data 0.002 (0.003) Loss 1.6115 (1.6280) Prec@1 58.125 (56.266) Prec@5 83.750 (84.688) Epoch: [78][2580/11272] Time 0.852 (0.779) Data 0.002 (0.003) Loss 1.9070 (1.6280) Prec@1 46.250 (56.261) Prec@5 78.125 (84.689) Epoch: [78][2590/11272] Time 0.809 (0.779) Data 0.001 (0.003) Loss 1.5825 (1.6281) Prec@1 53.750 (56.261) Prec@5 85.625 (84.688) Epoch: [78][2600/11272] Time 0.706 (0.779) Data 0.002 (0.003) Loss 1.7599 (1.6284) Prec@1 55.000 (56.260) Prec@5 82.500 (84.679) Epoch: [78][2610/11272] Time 0.728 (0.779) Data 0.001 (0.003) Loss 1.5036 (1.6285) Prec@1 57.500 (56.259) Prec@5 88.750 (84.677) Epoch: [78][2620/11272] Time 0.834 (0.779) Data 0.002 (0.003) Loss 1.6011 (1.6284) Prec@1 55.625 (56.260) Prec@5 88.750 (84.679) Epoch: [78][2630/11272] Time 0.789 (0.779) Data 0.001 (0.003) Loss 1.7189 (1.6285) Prec@1 54.375 (56.255) Prec@5 83.125 (84.675) Epoch: [78][2640/11272] Time 0.700 (0.779) Data 0.002 (0.003) Loss 1.4417 (1.6286) Prec@1 60.000 (56.248) Prec@5 88.750 (84.680) Epoch: [78][2650/11272] Time 0.719 (0.779) Data 0.002 (0.003) Loss 1.7839 (1.6287) Prec@1 50.000 (56.250) Prec@5 83.125 (84.680) Epoch: [78][2660/11272] Time 0.823 (0.779) Data 0.002 (0.003) Loss 1.7853 (1.6285) Prec@1 50.000 (56.253) Prec@5 82.500 (84.683) Epoch: [78][2670/11272] Time 0.792 (0.779) Data 0.001 (0.003) Loss 1.4692 (1.6286) Prec@1 61.250 (56.252) Prec@5 86.875 (84.681) Epoch: [78][2680/11272] Time 0.714 (0.779) Data 0.002 (0.003) Loss 1.8103 (1.6286) Prec@1 54.375 (56.260) Prec@5 80.000 (84.680) Epoch: [78][2690/11272] Time 0.806 (0.779) Data 0.002 (0.003) Loss 1.8179 (1.6287) Prec@1 47.500 (56.251) Prec@5 83.125 (84.677) Epoch: [78][2700/11272] Time 0.831 (0.779) Data 0.001 (0.003) Loss 1.7920 (1.6285) Prec@1 55.625 (56.253) Prec@5 81.875 (84.684) Epoch: [78][2710/11272] Time 0.722 (0.779) Data 0.002 (0.003) Loss 1.5766 (1.6289) Prec@1 59.375 (56.250) Prec@5 87.500 (84.680) Epoch: [78][2720/11272] Time 0.711 (0.779) Data 0.002 (0.003) Loss 1.4929 (1.6289) Prec@1 60.000 (56.249) Prec@5 86.875 (84.681) Epoch: [78][2730/11272] Time 0.840 (0.779) Data 0.001 (0.003) Loss 1.7288 (1.6291) Prec@1 53.750 (56.244) Prec@5 86.875 (84.682) Epoch: [78][2740/11272] Time 0.810 (0.779) Data 0.001 (0.003) Loss 1.6554 (1.6290) Prec@1 53.125 (56.244) Prec@5 83.125 (84.683) Epoch: [78][2750/11272] Time 0.728 (0.779) Data 0.002 (0.003) Loss 1.8870 (1.6292) Prec@1 47.500 (56.232) Prec@5 80.625 (84.681) Epoch: [78][2760/11272] Time 0.706 (0.779) Data 0.001 (0.003) Loss 1.6044 (1.6293) Prec@1 58.125 (56.231) Prec@5 83.125 (84.678) Epoch: [78][2770/11272] Time 0.815 (0.779) Data 0.001 (0.003) Loss 1.4329 (1.6294) Prec@1 60.625 (56.226) Prec@5 86.250 (84.677) Epoch: [78][2780/11272] Time 0.801 (0.779) Data 0.001 (0.003) Loss 1.6720 (1.6296) Prec@1 50.625 (56.219) Prec@5 85.000 (84.675) Epoch: [78][2790/11272] Time 0.716 (0.779) Data 0.001 (0.003) Loss 1.6326 (1.6299) Prec@1 54.375 (56.207) Prec@5 85.625 (84.674) Epoch: [78][2800/11272] Time 0.681 (0.779) Data 0.001 (0.003) Loss 1.5787 (1.6299) Prec@1 54.375 (56.198) Prec@5 85.625 (84.674) Epoch: [78][2810/11272] Time 0.830 (0.779) Data 0.002 (0.003) Loss 1.4330 (1.6300) Prec@1 63.125 (56.201) Prec@5 89.375 (84.672) Epoch: [78][2820/11272] Time 0.717 (0.779) Data 0.003 (0.003) Loss 1.8096 (1.6303) Prec@1 49.375 (56.194) Prec@5 82.500 (84.668) Epoch: [78][2830/11272] Time 0.713 (0.779) Data 0.002 (0.003) Loss 1.6659 (1.6304) Prec@1 58.750 (56.195) Prec@5 83.125 (84.663) Epoch: [78][2840/11272] Time 0.845 (0.779) Data 0.001 (0.003) Loss 1.7565 (1.6306) Prec@1 55.625 (56.194) Prec@5 80.625 (84.660) Epoch: [78][2850/11272] Time 0.831 (0.779) Data 0.001 (0.003) Loss 1.6891 (1.6306) Prec@1 53.125 (56.191) Prec@5 84.375 (84.656) Epoch: [78][2860/11272] Time 0.718 (0.779) Data 0.002 (0.003) Loss 1.5904 (1.6307) Prec@1 58.125 (56.184) Prec@5 85.000 (84.653) Epoch: [78][2870/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.8181 (1.6309) Prec@1 52.500 (56.179) Prec@5 82.500 (84.649) Epoch: [78][2880/11272] Time 0.827 (0.779) Data 0.002 (0.003) Loss 1.4783 (1.6310) Prec@1 56.250 (56.176) Prec@5 87.500 (84.651) Epoch: [78][2890/11272] Time 0.832 (0.779) Data 0.002 (0.003) Loss 1.5464 (1.6311) Prec@1 58.125 (56.173) Prec@5 88.125 (84.654) Epoch: [78][2900/11272] Time 0.687 (0.779) Data 0.001 (0.003) Loss 1.6743 (1.6308) Prec@1 55.000 (56.178) Prec@5 81.875 (84.654) Epoch: [78][2910/11272] Time 0.715 (0.779) Data 0.002 (0.003) Loss 1.6681 (1.6306) Prec@1 51.875 (56.186) Prec@5 83.750 (84.657) Epoch: [78][2920/11272] Time 0.818 (0.779) Data 0.002 (0.003) Loss 1.5467 (1.6303) Prec@1 51.250 (56.190) Prec@5 87.500 (84.659) Epoch: [78][2930/11272] Time 0.827 (0.779) Data 0.002 (0.003) Loss 1.9263 (1.6305) Prec@1 50.000 (56.186) Prec@5 79.375 (84.654) Epoch: [78][2940/11272] Time 0.712 (0.779) Data 0.002 (0.003) Loss 1.6688 (1.6304) Prec@1 53.125 (56.186) Prec@5 90.000 (84.658) Epoch: [78][2950/11272] Time 0.835 (0.779) Data 0.002 (0.003) Loss 1.5874 (1.6304) Prec@1 56.875 (56.191) Prec@5 86.875 (84.659) Epoch: [78][2960/11272] Time 0.821 (0.779) Data 0.002 (0.003) Loss 1.7989 (1.6305) Prec@1 51.875 (56.189) Prec@5 80.000 (84.654) Epoch: [78][2970/11272] Time 0.720 (0.779) Data 0.001 (0.003) Loss 1.7308 (1.6303) Prec@1 59.375 (56.200) Prec@5 85.625 (84.659) Epoch: [78][2980/11272] Time 0.699 (0.779) Data 0.001 (0.003) Loss 1.7741 (1.6304) Prec@1 55.625 (56.194) Prec@5 79.375 (84.657) Epoch: [78][2990/11272] Time 0.863 (0.779) Data 0.001 (0.003) Loss 1.6774 (1.6305) Prec@1 54.375 (56.193) Prec@5 84.375 (84.656) Epoch: [78][3000/11272] Time 0.854 (0.779) Data 0.002 (0.003) Loss 1.3342 (1.6302) Prec@1 65.625 (56.202) Prec@5 90.000 (84.662) Epoch: [78][3010/11272] Time 0.740 (0.779) Data 0.002 (0.003) Loss 1.7543 (1.6301) Prec@1 54.375 (56.204) Prec@5 82.500 (84.663) Epoch: [78][3020/11272] Time 0.712 (0.779) Data 0.002 (0.003) Loss 1.6284 (1.6302) Prec@1 54.375 (56.200) Prec@5 85.625 (84.660) Epoch: [78][3030/11272] Time 0.838 (0.779) Data 0.001 (0.003) Loss 1.6040 (1.6302) Prec@1 53.125 (56.199) Prec@5 86.250 (84.663) Epoch: [78][3040/11272] Time 0.807 (0.779) Data 0.001 (0.003) Loss 1.7913 (1.6304) Prec@1 53.125 (56.197) Prec@5 81.250 (84.657) Epoch: [78][3050/11272] Time 0.742 (0.779) Data 0.002 (0.003) Loss 1.9068 (1.6304) Prec@1 50.000 (56.198) Prec@5 80.000 (84.660) Epoch: [78][3060/11272] Time 0.721 (0.779) Data 0.002 (0.003) Loss 1.6499 (1.6308) Prec@1 52.500 (56.191) Prec@5 83.750 (84.652) Epoch: [78][3070/11272] Time 0.832 (0.779) Data 0.001 (0.003) Loss 1.7849 (1.6310) Prec@1 51.875 (56.186) Prec@5 81.875 (84.648) Epoch: [78][3080/11272] Time 0.710 (0.779) Data 0.003 (0.003) Loss 1.5292 (1.6308) Prec@1 59.375 (56.196) Prec@5 85.625 (84.651) Epoch: [78][3090/11272] Time 0.727 (0.779) Data 0.002 (0.003) Loss 1.6263 (1.6309) Prec@1 56.250 (56.192) Prec@5 83.750 (84.650) Epoch: [78][3100/11272] Time 0.843 (0.779) Data 0.001 (0.003) Loss 1.7695 (1.6309) Prec@1 53.125 (56.192) Prec@5 82.500 (84.651) Epoch: [78][3110/11272] Time 0.817 (0.779) Data 0.001 (0.003) Loss 1.7552 (1.6309) Prec@1 55.625 (56.195) Prec@5 83.125 (84.653) Epoch: [78][3120/11272] Time 0.727 (0.779) Data 0.001 (0.003) Loss 1.4769 (1.6312) Prec@1 60.625 (56.189) Prec@5 87.500 (84.649) Epoch: [78][3130/11272] Time 0.718 (0.779) Data 0.001 (0.003) Loss 1.5249 (1.6312) Prec@1 58.750 (56.189) Prec@5 88.125 (84.646) Epoch: [78][3140/11272] Time 0.814 (0.779) Data 0.001 (0.003) Loss 1.5596 (1.6311) Prec@1 58.750 (56.189) Prec@5 85.625 (84.652) Epoch: [78][3150/11272] Time 0.820 (0.779) Data 0.002 (0.003) Loss 1.6934 (1.6312) Prec@1 53.750 (56.189) Prec@5 83.750 (84.650) Epoch: [78][3160/11272] Time 0.731 (0.779) Data 0.002 (0.003) Loss 1.3732 (1.6310) Prec@1 57.500 (56.189) Prec@5 90.000 (84.652) Epoch: [78][3170/11272] Time 0.719 (0.779) Data 0.002 (0.003) Loss 1.6089 (1.6310) Prec@1 56.875 (56.185) Prec@5 85.000 (84.652) Epoch: [78][3180/11272] Time 0.804 (0.779) Data 0.002 (0.003) Loss 1.6152 (1.6310) Prec@1 54.375 (56.183) Prec@5 89.375 (84.654) Epoch: [78][3190/11272] Time 0.817 (0.779) Data 0.001 (0.003) Loss 1.6751 (1.6312) Prec@1 54.375 (56.181) Prec@5 85.000 (84.651) Epoch: [78][3200/11272] Time 0.728 (0.779) Data 0.002 (0.003) Loss 1.5630 (1.6311) Prec@1 60.000 (56.186) Prec@5 85.625 (84.653) Epoch: [78][3210/11272] Time 0.797 (0.779) Data 0.001 (0.003) Loss 1.7786 (1.6313) Prec@1 51.875 (56.182) Prec@5 80.625 (84.650) Epoch: [78][3220/11272] Time 0.886 (0.779) Data 0.001 (0.003) Loss 1.6879 (1.6313) Prec@1 51.875 (56.181) Prec@5 85.000 (84.652) Epoch: [78][3230/11272] Time 0.720 (0.779) Data 0.001 (0.003) Loss 1.5554 (1.6311) Prec@1 51.250 (56.180) Prec@5 86.875 (84.654) Epoch: [78][3240/11272] Time 0.721 (0.779) Data 0.001 (0.003) Loss 1.6264 (1.6312) Prec@1 60.000 (56.177) Prec@5 85.625 (84.654) Epoch: [78][3250/11272] Time 0.816 (0.779) Data 0.001 (0.003) Loss 1.6359 (1.6310) Prec@1 57.500 (56.184) Prec@5 84.375 (84.654) Epoch: [78][3260/11272] Time 0.853 (0.779) Data 0.002 (0.003) Loss 1.8087 (1.6313) Prec@1 50.625 (56.174) Prec@5 78.750 (84.650) Epoch: [78][3270/11272] Time 0.704 (0.779) Data 0.001 (0.003) Loss 1.6469 (1.6312) Prec@1 55.000 (56.174) Prec@5 86.250 (84.649) Epoch: [78][3280/11272] Time 0.727 (0.779) Data 0.002 (0.003) Loss 1.3491 (1.6311) Prec@1 62.500 (56.175) Prec@5 86.250 (84.649) Epoch: [78][3290/11272] Time 0.815 (0.779) Data 0.002 (0.003) Loss 1.5991 (1.6313) Prec@1 60.625 (56.173) Prec@5 83.750 (84.646) Epoch: [78][3300/11272] Time 0.813 (0.779) Data 0.001 (0.003) Loss 1.7268 (1.6312) Prec@1 52.500 (56.175) Prec@5 85.000 (84.649) Epoch: [78][3310/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.6185 (1.6312) Prec@1 56.875 (56.174) Prec@5 84.375 (84.647) Epoch: [78][3320/11272] Time 0.713 (0.779) Data 0.002 (0.003) Loss 1.5079 (1.6312) Prec@1 58.750 (56.174) Prec@5 86.250 (84.647) Epoch: [78][3330/11272] Time 0.795 (0.779) Data 0.002 (0.003) Loss 1.5740 (1.6313) Prec@1 55.625 (56.170) Prec@5 86.875 (84.646) Epoch: [78][3340/11272] Time 0.841 (0.779) Data 0.002 (0.003) Loss 1.8351 (1.6315) Prec@1 50.000 (56.163) Prec@5 85.625 (84.643) Epoch: [78][3350/11272] Time 0.718 (0.779) Data 0.002 (0.003) Loss 1.7059 (1.6314) Prec@1 50.625 (56.169) Prec@5 86.250 (84.648) Epoch: [78][3360/11272] Time 0.849 (0.779) Data 0.001 (0.003) Loss 1.5563 (1.6315) Prec@1 51.875 (56.167) Prec@5 88.125 (84.646) Epoch: [78][3370/11272] Time 0.834 (0.779) Data 0.002 (0.003) Loss 1.7744 (1.6317) Prec@1 53.125 (56.160) Prec@5 83.750 (84.643) Epoch: [78][3380/11272] Time 0.705 (0.779) Data 0.001 (0.003) Loss 1.7395 (1.6317) Prec@1 48.125 (56.159) Prec@5 81.875 (84.642) Epoch: [78][3390/11272] Time 0.717 (0.779) Data 0.002 (0.003) Loss 1.5038 (1.6318) Prec@1 56.875 (56.159) Prec@5 87.500 (84.641) Epoch: [78][3400/11272] Time 0.799 (0.779) Data 0.001 (0.003) Loss 1.6273 (1.6317) Prec@1 56.250 (56.160) Prec@5 85.000 (84.643) Epoch: [78][3410/11272] Time 0.794 (0.779) Data 0.001 (0.003) Loss 1.7620 (1.6320) Prec@1 53.750 (56.153) Prec@5 81.875 (84.639) Epoch: [78][3420/11272] Time 0.723 (0.779) Data 0.002 (0.003) Loss 1.7657 (1.6320) Prec@1 54.375 (56.153) Prec@5 77.500 (84.637) Epoch: [78][3430/11272] Time 0.713 (0.779) Data 0.002 (0.003) Loss 1.7184 (1.6321) Prec@1 53.125 (56.148) Prec@5 84.375 (84.633) Epoch: [78][3440/11272] Time 0.873 (0.779) Data 0.002 (0.003) Loss 1.5643 (1.6321) Prec@1 55.625 (56.151) Prec@5 88.125 (84.636) Epoch: [78][3450/11272] Time 0.834 (0.779) Data 0.002 (0.003) Loss 1.7257 (1.6322) Prec@1 52.500 (56.152) Prec@5 85.000 (84.634) Epoch: [78][3460/11272] Time 0.768 (0.779) Data 0.002 (0.003) Loss 1.6642 (1.6321) Prec@1 54.375 (56.152) Prec@5 84.375 (84.634) Epoch: [78][3470/11272] Time 0.700 (0.779) Data 0.001 (0.003) Loss 1.6860 (1.6322) Prec@1 58.125 (56.154) Prec@5 82.500 (84.634) Epoch: [78][3480/11272] Time 0.832 (0.779) Data 0.001 (0.003) Loss 1.6171 (1.6320) Prec@1 57.500 (56.160) Prec@5 86.250 (84.636) Epoch: [78][3490/11272] Time 0.718 (0.779) Data 0.001 (0.003) Loss 1.6021 (1.6322) Prec@1 56.875 (56.152) Prec@5 83.750 (84.633) Epoch: [78][3500/11272] Time 0.776 (0.779) Data 0.002 (0.003) Loss 1.5706 (1.6321) Prec@1 61.875 (56.155) Prec@5 84.375 (84.633) Epoch: [78][3510/11272] Time 0.872 (0.779) Data 0.002 (0.003) Loss 1.4797 (1.6321) Prec@1 55.000 (56.156) Prec@5 85.000 (84.634) Epoch: [78][3520/11272] Time 0.820 (0.779) Data 0.002 (0.003) Loss 1.5603 (1.6322) Prec@1 55.000 (56.152) Prec@5 85.000 (84.630) Epoch: [78][3530/11272] Time 0.709 (0.779) Data 0.002 (0.003) Loss 1.5383 (1.6321) Prec@1 56.875 (56.155) Prec@5 83.750 (84.631) Epoch: [78][3540/11272] Time 0.719 (0.779) Data 0.002 (0.003) Loss 1.5486 (1.6321) Prec@1 55.625 (56.155) Prec@5 83.750 (84.628) Epoch: [78][3550/11272] Time 0.839 (0.779) Data 0.002 (0.003) Loss 1.6945 (1.6321) Prec@1 54.375 (56.154) Prec@5 83.125 (84.624) Epoch: [78][3560/11272] Time 0.797 (0.779) Data 0.001 (0.003) Loss 1.5602 (1.6323) Prec@1 58.125 (56.152) Prec@5 85.000 (84.623) Epoch: [78][3570/11272] Time 0.708 (0.779) Data 0.001 (0.003) Loss 1.6272 (1.6321) Prec@1 54.375 (56.152) Prec@5 81.250 (84.626) Epoch: [78][3580/11272] Time 0.715 (0.779) Data 0.002 (0.003) Loss 1.9801 (1.6323) Prec@1 45.625 (56.147) Prec@5 83.750 (84.626) Epoch: [78][3590/11272] Time 0.817 (0.779) Data 0.002 (0.003) Loss 1.8010 (1.6324) Prec@1 53.750 (56.148) Prec@5 83.125 (84.626) Epoch: [78][3600/11272] Time 0.861 (0.779) Data 0.002 (0.003) Loss 1.8021 (1.6324) Prec@1 54.375 (56.144) Prec@5 83.750 (84.626) Epoch: [78][3610/11272] Time 0.697 (0.779) Data 0.001 (0.003) Loss 1.6511 (1.6326) Prec@1 53.750 (56.139) Prec@5 82.500 (84.622) Epoch: [78][3620/11272] Time 0.862 (0.779) Data 0.001 (0.003) Loss 1.5786 (1.6327) Prec@1 58.125 (56.140) Prec@5 84.375 (84.623) Epoch: [78][3630/11272] Time 0.808 (0.779) Data 0.002 (0.003) Loss 1.5705 (1.6327) Prec@1 58.750 (56.139) Prec@5 84.375 (84.622) Epoch: [78][3640/11272] Time 0.710 (0.779) Data 0.002 (0.003) Loss 1.6157 (1.6327) Prec@1 51.250 (56.138) Prec@5 85.625 (84.619) Epoch: [78][3650/11272] Time 0.719 (0.779) Data 0.002 (0.003) Loss 1.6491 (1.6324) Prec@1 51.875 (56.145) Prec@5 88.125 (84.624) Epoch: [78][3660/11272] Time 0.837 (0.779) Data 0.001 (0.003) Loss 1.3868 (1.6323) Prec@1 59.375 (56.146) Prec@5 88.750 (84.624) Epoch: [78][3670/11272] Time 0.802 (0.779) Data 0.002 (0.003) Loss 1.4567 (1.6324) Prec@1 64.375 (56.146) Prec@5 86.250 (84.623) Epoch: [78][3680/11272] Time 0.709 (0.779) Data 0.002 (0.003) Loss 1.4654 (1.6324) Prec@1 56.875 (56.148) Prec@5 86.875 (84.624) Epoch: [78][3690/11272] Time 0.732 (0.779) Data 0.001 (0.003) Loss 1.6611 (1.6323) Prec@1 56.875 (56.149) Prec@5 86.250 (84.624) Epoch: [78][3700/11272] Time 0.829 (0.779) Data 0.001 (0.003) Loss 1.5775 (1.6323) Prec@1 53.125 (56.146) Prec@5 86.250 (84.626) Epoch: [78][3710/11272] Time 0.845 (0.779) Data 0.001 (0.003) Loss 1.6855 (1.6323) Prec@1 55.000 (56.147) Prec@5 85.000 (84.626) Epoch: [78][3720/11272] Time 0.725 (0.779) Data 0.002 (0.003) Loss 1.6739 (1.6324) Prec@1 55.625 (56.143) Prec@5 83.750 (84.626) Epoch: [78][3730/11272] Time 0.733 (0.778) Data 0.002 (0.003) Loss 1.5100 (1.6323) Prec@1 56.250 (56.144) Prec@5 86.875 (84.625) Epoch: [78][3740/11272] Time 0.818 (0.778) Data 0.001 (0.003) Loss 1.7056 (1.6323) Prec@1 60.625 (56.148) Prec@5 85.000 (84.624) Epoch: [78][3750/11272] Time 0.711 (0.778) Data 0.004 (0.003) Loss 1.3809 (1.6321) Prec@1 63.125 (56.153) Prec@5 86.250 (84.626) Epoch: [78][3760/11272] Time 0.725 (0.778) Data 0.001 (0.003) Loss 1.5275 (1.6322) Prec@1 58.125 (56.149) Prec@5 84.375 (84.623) Epoch: [78][3770/11272] Time 0.873 (0.778) Data 0.002 (0.003) Loss 1.5669 (1.6321) Prec@1 58.750 (56.151) Prec@5 83.750 (84.625) Epoch: [78][3780/11272] Time 0.810 (0.778) Data 0.002 (0.003) Loss 1.4822 (1.6318) Prec@1 60.000 (56.157) Prec@5 85.000 (84.629) Epoch: [78][3790/11272] Time 0.715 (0.778) Data 0.002 (0.003) Loss 1.5127 (1.6319) Prec@1 58.125 (56.152) Prec@5 85.000 (84.625) Epoch: [78][3800/11272] Time 0.757 (0.778) Data 0.002 (0.003) Loss 1.7162 (1.6322) Prec@1 55.000 (56.146) Prec@5 82.500 (84.617) Epoch: [78][3810/11272] Time 0.817 (0.778) Data 0.002 (0.003) Loss 1.5103 (1.6321) Prec@1 60.625 (56.147) Prec@5 86.875 (84.619) Epoch: [78][3820/11272] Time 0.817 (0.778) Data 0.002 (0.003) Loss 1.7273 (1.6321) Prec@1 58.125 (56.150) Prec@5 83.125 (84.619) Epoch: [78][3830/11272] Time 0.718 (0.778) Data 0.002 (0.003) Loss 1.5617 (1.6319) Prec@1 61.875 (56.153) Prec@5 83.750 (84.620) Epoch: [78][3840/11272] Time 0.716 (0.778) Data 0.002 (0.003) Loss 1.6180 (1.6319) Prec@1 55.625 (56.155) Prec@5 81.875 (84.622) Epoch: [78][3850/11272] Time 0.833 (0.778) Data 0.002 (0.003) Loss 1.4848 (1.6317) Prec@1 58.750 (56.158) Prec@5 89.375 (84.625) Epoch: [78][3860/11272] Time 0.826 (0.778) Data 0.002 (0.003) Loss 1.7229 (1.6319) Prec@1 54.375 (56.154) Prec@5 81.250 (84.621) Epoch: [78][3870/11272] Time 0.735 (0.778) Data 0.002 (0.003) Loss 1.7544 (1.6319) Prec@1 51.875 (56.159) Prec@5 83.750 (84.619) Epoch: [78][3880/11272] Time 0.834 (0.778) Data 0.002 (0.003) Loss 1.7429 (1.6319) Prec@1 56.875 (56.160) Prec@5 84.375 (84.619) Epoch: [78][3890/11272] Time 0.900 (0.778) Data 0.002 (0.003) Loss 1.8017 (1.6319) Prec@1 50.625 (56.159) Prec@5 82.500 (84.619) Epoch: [78][3900/11272] Time 0.720 (0.778) Data 0.001 (0.003) Loss 1.4365 (1.6319) Prec@1 60.000 (56.163) Prec@5 88.750 (84.618) Epoch: [78][3910/11272] Time 0.766 (0.778) Data 0.002 (0.003) Loss 1.6215 (1.6320) Prec@1 58.750 (56.162) Prec@5 82.500 (84.617) Epoch: [78][3920/11272] Time 0.815 (0.778) Data 0.001 (0.003) Loss 1.5878 (1.6319) Prec@1 52.500 (56.162) Prec@5 86.875 (84.619) Epoch: [78][3930/11272] Time 0.851 (0.778) Data 0.002 (0.003) Loss 1.4854 (1.6319) Prec@1 63.125 (56.162) Prec@5 84.375 (84.620) Epoch: [78][3940/11272] Time 0.744 (0.778) Data 0.002 (0.002) Loss 1.5248 (1.6320) Prec@1 58.750 (56.159) Prec@5 88.750 (84.620) Epoch: [78][3950/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.4785 (1.6318) Prec@1 60.000 (56.164) Prec@5 91.250 (84.625) Epoch: [78][3960/11272] Time 0.902 (0.778) Data 0.001 (0.002) Loss 1.3958 (1.6318) Prec@1 62.500 (56.164) Prec@5 88.750 (84.625) Epoch: [78][3970/11272] Time 0.787 (0.778) Data 0.002 (0.002) Loss 1.7473 (1.6317) Prec@1 56.875 (56.165) Prec@5 81.250 (84.627) Epoch: [78][3980/11272] Time 0.710 (0.778) Data 0.001 (0.002) Loss 1.4266 (1.6316) Prec@1 55.000 (56.165) Prec@5 87.500 (84.628) Epoch: [78][3990/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.6795 (1.6314) Prec@1 53.750 (56.168) Prec@5 84.375 (84.631) Epoch: [78][4000/11272] Time 0.883 (0.778) Data 0.002 (0.002) Loss 1.5709 (1.6315) Prec@1 57.500 (56.162) Prec@5 87.500 (84.630) Epoch: [78][4010/11272] Time 0.708 (0.778) Data 0.003 (0.002) Loss 1.5344 (1.6317) Prec@1 59.375 (56.158) Prec@5 85.000 (84.626) Epoch: [78][4020/11272] Time 0.731 (0.778) Data 0.002 (0.002) Loss 1.7422 (1.6316) Prec@1 51.875 (56.157) Prec@5 85.000 (84.629) Epoch: [78][4030/11272] Time 0.810 (0.778) Data 0.001 (0.002) Loss 1.8120 (1.6317) Prec@1 50.625 (56.153) Prec@5 84.375 (84.628) Epoch: [78][4040/11272] Time 0.793 (0.778) Data 0.001 (0.002) Loss 1.7587 (1.6318) Prec@1 53.750 (56.154) Prec@5 85.000 (84.627) Epoch: [78][4050/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.9099 (1.6320) Prec@1 54.375 (56.151) Prec@5 78.125 (84.625) Epoch: [78][4060/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.5785 (1.6320) Prec@1 61.875 (56.152) Prec@5 85.625 (84.624) Epoch: [78][4070/11272] Time 0.842 (0.778) Data 0.001 (0.002) Loss 1.7315 (1.6319) Prec@1 47.500 (56.148) Prec@5 83.125 (84.625) Epoch: [78][4080/11272] Time 0.815 (0.778) Data 0.002 (0.002) Loss 1.5138 (1.6320) Prec@1 58.125 (56.145) Prec@5 87.500 (84.623) Epoch: [78][4090/11272] Time 0.725 (0.778) Data 0.001 (0.002) Loss 1.7059 (1.6321) Prec@1 50.000 (56.145) Prec@5 83.750 (84.624) Epoch: [78][4100/11272] Time 0.725 (0.778) Data 0.001 (0.002) Loss 1.5963 (1.6322) Prec@1 56.875 (56.142) Prec@5 83.125 (84.622) Epoch: [78][4110/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.9691 (1.6323) Prec@1 46.875 (56.138) Prec@5 78.125 (84.619) Epoch: [78][4120/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 1.5623 (1.6323) Prec@1 61.250 (56.141) Prec@5 86.250 (84.620) Epoch: [78][4130/11272] Time 0.739 (0.778) Data 0.001 (0.002) Loss 1.7349 (1.6325) Prec@1 53.125 (56.135) Prec@5 80.000 (84.616) Epoch: [78][4140/11272] Time 0.816 (0.778) Data 0.001 (0.002) Loss 1.6471 (1.6326) Prec@1 53.750 (56.131) Prec@5 84.375 (84.613) Epoch: [78][4150/11272] Time 0.809 (0.778) Data 0.002 (0.002) Loss 1.6061 (1.6326) Prec@1 58.125 (56.131) Prec@5 81.875 (84.610) Epoch: [78][4160/11272] Time 0.699 (0.778) Data 0.001 (0.002) Loss 1.5572 (1.6326) Prec@1 58.750 (56.132) Prec@5 85.000 (84.609) Epoch: [78][4170/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.9549 (1.6328) Prec@1 49.375 (56.128) Prec@5 80.625 (84.607) Epoch: [78][4180/11272] Time 0.838 (0.778) Data 0.002 (0.002) Loss 1.3705 (1.6327) Prec@1 63.125 (56.133) Prec@5 88.125 (84.612) Epoch: [78][4190/11272] Time 0.810 (0.778) Data 0.002 (0.002) Loss 1.6620 (1.6328) Prec@1 55.625 (56.127) Prec@5 88.750 (84.612) Epoch: [78][4200/11272] Time 0.732 (0.778) Data 0.001 (0.002) Loss 1.8763 (1.6330) Prec@1 50.000 (56.121) Prec@5 81.875 (84.610) Epoch: [78][4210/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.7707 (1.6332) Prec@1 56.250 (56.115) Prec@5 80.625 (84.605) Epoch: [78][4220/11272] Time 0.840 (0.778) Data 0.002 (0.002) Loss 1.6526 (1.6334) Prec@1 56.875 (56.110) Prec@5 82.500 (84.601) Epoch: [78][4230/11272] Time 0.798 (0.778) Data 0.001 (0.002) Loss 1.5879 (1.6334) Prec@1 61.250 (56.110) Prec@5 86.875 (84.599) Epoch: [78][4240/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.7143 (1.6334) Prec@1 53.750 (56.110) Prec@5 80.625 (84.598) Epoch: [78][4250/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.5686 (1.6334) Prec@1 56.250 (56.106) Prec@5 85.000 (84.598) Epoch: [78][4260/11272] Time 0.818 (0.778) Data 0.001 (0.002) Loss 1.5338 (1.6333) Prec@1 56.875 (56.107) Prec@5 86.875 (84.602) Epoch: [78][4270/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.8684 (1.6333) Prec@1 51.250 (56.105) Prec@5 78.750 (84.603) Epoch: [78][4280/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.6007 (1.6333) Prec@1 53.125 (56.106) Prec@5 86.875 (84.602) Epoch: [78][4290/11272] Time 0.822 (0.778) Data 0.001 (0.002) Loss 1.5550 (1.6332) Prec@1 56.250 (56.109) Prec@5 85.000 (84.604) Epoch: [78][4300/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.9536 (1.6331) Prec@1 43.750 (56.109) Prec@5 82.500 (84.605) Epoch: [78][4310/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 1.7241 (1.6332) Prec@1 48.750 (56.107) Prec@5 84.375 (84.604) Epoch: [78][4320/11272] Time 0.696 (0.778) Data 0.001 (0.002) Loss 1.6083 (1.6332) Prec@1 56.250 (56.107) Prec@5 83.750 (84.605) Epoch: [78][4330/11272] Time 0.867 (0.778) Data 0.002 (0.002) Loss 1.6139 (1.6332) Prec@1 52.500 (56.106) Prec@5 86.875 (84.604) Epoch: [78][4340/11272] Time 0.838 (0.778) Data 0.002 (0.002) Loss 1.4507 (1.6332) Prec@1 57.500 (56.108) Prec@5 85.625 (84.603) Epoch: [78][4350/11272] Time 0.706 (0.778) Data 0.001 (0.002) Loss 1.7162 (1.6333) Prec@1 51.250 (56.108) Prec@5 85.625 (84.600) Epoch: [78][4360/11272] Time 0.744 (0.778) Data 0.002 (0.002) Loss 1.4956 (1.6333) Prec@1 52.500 (56.106) Prec@5 90.000 (84.602) Epoch: [78][4370/11272] Time 0.816 (0.778) Data 0.002 (0.002) Loss 1.4893 (1.6334) Prec@1 58.125 (56.104) Prec@5 88.125 (84.600) Epoch: [78][4380/11272] Time 0.839 (0.778) Data 0.001 (0.002) Loss 1.5687 (1.6332) Prec@1 55.000 (56.106) Prec@5 86.250 (84.600) Epoch: [78][4390/11272] Time 0.704 (0.778) Data 0.001 (0.002) Loss 1.5787 (1.6332) Prec@1 58.750 (56.105) Prec@5 86.875 (84.601) Epoch: [78][4400/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.5928 (1.6331) Prec@1 56.875 (56.108) Prec@5 85.000 (84.600) Epoch: [78][4410/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.5197 (1.6332) Prec@1 61.250 (56.106) Prec@5 81.250 (84.596) Epoch: [78][4420/11272] Time 0.743 (0.778) Data 0.001 (0.002) Loss 1.5292 (1.6332) Prec@1 53.750 (56.104) Prec@5 90.625 (84.600) Epoch: [78][4430/11272] Time 0.706 (0.778) Data 0.002 (0.002) Loss 1.8946 (1.6333) Prec@1 51.875 (56.099) Prec@5 79.375 (84.599) Epoch: [78][4440/11272] Time 0.854 (0.778) Data 0.002 (0.002) Loss 1.6376 (1.6334) Prec@1 55.000 (56.098) Prec@5 82.500 (84.597) Epoch: [78][4450/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 1.8871 (1.6334) Prec@1 46.250 (56.096) Prec@5 79.375 (84.597) Epoch: [78][4460/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.5621 (1.6333) Prec@1 61.875 (56.099) Prec@5 83.750 (84.597) Epoch: [78][4470/11272] Time 0.728 (0.778) Data 0.002 (0.002) Loss 1.4366 (1.6333) Prec@1 57.500 (56.098) Prec@5 90.625 (84.598) Epoch: [78][4480/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.7798 (1.6331) Prec@1 53.750 (56.101) Prec@5 81.875 (84.603) Epoch: [78][4490/11272] Time 0.806 (0.778) Data 0.002 (0.002) Loss 1.6687 (1.6333) Prec@1 54.375 (56.097) Prec@5 86.250 (84.603) Epoch: [78][4500/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.5970 (1.6334) Prec@1 56.875 (56.095) Prec@5 81.250 (84.599) Epoch: [78][4510/11272] Time 0.713 (0.778) Data 0.001 (0.002) Loss 1.7038 (1.6333) Prec@1 48.750 (56.098) Prec@5 87.500 (84.601) Epoch: [78][4520/11272] Time 0.858 (0.778) Data 0.002 (0.002) Loss 1.5938 (1.6333) Prec@1 56.875 (56.098) Prec@5 83.125 (84.598) Epoch: [78][4530/11272] Time 0.806 (0.778) Data 0.002 (0.002) Loss 1.9162 (1.6335) Prec@1 46.250 (56.097) Prec@5 81.250 (84.596) Epoch: [78][4540/11272] Time 0.700 (0.778) Data 0.002 (0.002) Loss 1.3823 (1.6334) Prec@1 61.875 (56.100) Prec@5 86.250 (84.595) Epoch: [78][4550/11272] Time 0.814 (0.778) Data 0.002 (0.002) Loss 1.7171 (1.6335) Prec@1 50.000 (56.097) Prec@5 81.875 (84.596) Epoch: [78][4560/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.4798 (1.6335) Prec@1 57.500 (56.098) Prec@5 86.875 (84.596) Epoch: [78][4570/11272] Time 0.730 (0.778) Data 0.001 (0.002) Loss 1.4420 (1.6334) Prec@1 60.625 (56.100) Prec@5 87.500 (84.599) Epoch: [78][4580/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.7341 (1.6333) Prec@1 50.000 (56.102) Prec@5 83.125 (84.600) Epoch: [78][4590/11272] Time 0.845 (0.778) Data 0.001 (0.002) Loss 1.4986 (1.6333) Prec@1 56.250 (56.101) Prec@5 91.250 (84.602) Epoch: [78][4600/11272] Time 0.854 (0.778) Data 0.002 (0.002) Loss 1.5942 (1.6334) Prec@1 57.500 (56.095) Prec@5 85.625 (84.600) Epoch: [78][4610/11272] Time 0.697 (0.778) Data 0.002 (0.002) Loss 1.8732 (1.6335) Prec@1 51.250 (56.090) Prec@5 80.000 (84.598) Epoch: [78][4620/11272] Time 0.703 (0.778) Data 0.002 (0.002) Loss 1.8523 (1.6337) Prec@1 47.500 (56.084) Prec@5 80.625 (84.597) Epoch: [78][4630/11272] Time 0.816 (0.778) Data 0.002 (0.002) Loss 1.7023 (1.6337) Prec@1 55.000 (56.080) Prec@5 82.500 (84.597) Epoch: [78][4640/11272] Time 0.812 (0.778) Data 0.002 (0.002) Loss 1.8097 (1.6336) Prec@1 51.250 (56.080) Prec@5 80.625 (84.598) Epoch: [78][4650/11272] Time 0.713 (0.778) Data 0.002 (0.002) Loss 1.7356 (1.6336) Prec@1 56.875 (56.080) Prec@5 86.250 (84.599) Epoch: [78][4660/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.6425 (1.6337) Prec@1 56.875 (56.080) Prec@5 85.625 (84.596) Epoch: [78][4670/11272] Time 0.865 (0.778) Data 0.002 (0.002) Loss 1.7191 (1.6339) Prec@1 56.250 (56.076) Prec@5 83.750 (84.592) Epoch: [78][4680/11272] Time 0.741 (0.778) Data 0.003 (0.002) Loss 1.7972 (1.6340) Prec@1 50.625 (56.073) Prec@5 85.000 (84.592) Epoch: [78][4690/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.6926 (1.6341) Prec@1 53.125 (56.068) Prec@5 85.625 (84.592) Epoch: [78][4700/11272] Time 0.802 (0.778) Data 0.001 (0.002) Loss 1.5144 (1.6341) Prec@1 61.250 (56.072) Prec@5 88.125 (84.594) Epoch: [78][4710/11272] Time 0.848 (0.778) Data 0.002 (0.002) Loss 1.5816 (1.6341) Prec@1 59.375 (56.072) Prec@5 85.625 (84.592) Epoch: [78][4720/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.8263 (1.6342) Prec@1 53.125 (56.068) Prec@5 82.500 (84.591) Epoch: [78][4730/11272] Time 0.744 (0.778) Data 0.002 (0.002) Loss 1.6664 (1.6341) Prec@1 59.375 (56.072) Prec@5 84.375 (84.592) Epoch: [78][4740/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.6733 (1.6341) Prec@1 49.375 (56.070) Prec@5 84.375 (84.593) Epoch: [78][4750/11272] Time 0.845 (0.778) Data 0.002 (0.002) Loss 1.8528 (1.6342) Prec@1 50.625 (56.067) Prec@5 86.250 (84.591) Epoch: [78][4760/11272] Time 0.750 (0.778) Data 0.002 (0.002) Loss 1.8712 (1.6342) Prec@1 53.750 (56.067) Prec@5 80.000 (84.592) Epoch: [78][4770/11272] Time 0.691 (0.778) Data 0.001 (0.002) Loss 1.7611 (1.6341) Prec@1 53.750 (56.068) Prec@5 81.875 (84.593) Epoch: [78][4780/11272] Time 0.864 (0.778) Data 0.002 (0.002) Loss 1.7851 (1.6343) Prec@1 58.125 (56.063) Prec@5 82.500 (84.590) Epoch: [78][4790/11272] Time 0.882 (0.778) Data 0.002 (0.002) Loss 1.6923 (1.6344) Prec@1 58.125 (56.065) Prec@5 81.250 (84.590) Epoch: [78][4800/11272] Time 0.753 (0.778) Data 0.002 (0.002) Loss 1.8408 (1.6347) Prec@1 53.125 (56.058) Prec@5 80.625 (84.586) Epoch: [78][4810/11272] Time 0.872 (0.778) Data 0.002 (0.002) Loss 1.8084 (1.6347) Prec@1 55.625 (56.063) Prec@5 81.875 (84.586) Epoch: [78][4820/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.6617 (1.6347) Prec@1 53.125 (56.060) Prec@5 81.875 (84.583) Epoch: [78][4830/11272] Time 0.771 (0.778) Data 0.002 (0.002) Loss 1.5571 (1.6348) Prec@1 56.250 (56.059) Prec@5 85.625 (84.581) Epoch: [78][4840/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.5995 (1.6349) Prec@1 56.875 (56.060) Prec@5 86.250 (84.581) Epoch: [78][4850/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.5888 (1.6349) Prec@1 57.500 (56.062) Prec@5 82.500 (84.580) Epoch: [78][4860/11272] Time 0.881 (0.778) Data 0.002 (0.002) Loss 1.5885 (1.6348) Prec@1 61.875 (56.065) Prec@5 84.375 (84.581) Epoch: [78][4870/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.5817 (1.6348) Prec@1 60.625 (56.068) Prec@5 85.625 (84.581) Epoch: [78][4880/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.8005 (1.6348) Prec@1 53.125 (56.069) Prec@5 80.000 (84.579) Epoch: [78][4890/11272] Time 0.816 (0.778) Data 0.001 (0.002) Loss 1.6791 (1.6348) Prec@1 59.375 (56.067) Prec@5 84.375 (84.578) Epoch: [78][4900/11272] Time 0.810 (0.778) Data 0.002 (0.002) Loss 1.6536 (1.6347) Prec@1 58.750 (56.069) Prec@5 83.750 (84.581) Epoch: [78][4910/11272] Time 0.723 (0.778) Data 0.001 (0.002) Loss 1.4461 (1.6347) Prec@1 60.625 (56.066) Prec@5 89.375 (84.581) Epoch: [78][4920/11272] Time 0.693 (0.778) Data 0.001 (0.002) Loss 1.6150 (1.6347) Prec@1 53.750 (56.066) Prec@5 84.375 (84.583) Epoch: [78][4930/11272] Time 0.806 (0.778) Data 0.001 (0.002) Loss 1.6391 (1.6346) Prec@1 55.625 (56.069) Prec@5 85.000 (84.583) Epoch: [78][4940/11272] Time 0.769 (0.778) Data 0.004 (0.002) Loss 1.3896 (1.6345) Prec@1 57.500 (56.069) Prec@5 90.000 (84.584) Epoch: [78][4950/11272] Time 0.721 (0.778) Data 0.001 (0.002) Loss 1.5514 (1.6346) Prec@1 55.000 (56.067) Prec@5 86.250 (84.582) Epoch: [78][4960/11272] Time 0.828 (0.778) Data 0.002 (0.002) Loss 1.8513 (1.6348) Prec@1 51.250 (56.067) Prec@5 81.250 (84.580) Epoch: [78][4970/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.8377 (1.6349) Prec@1 50.625 (56.066) Prec@5 81.250 (84.577) Epoch: [78][4980/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.7435 (1.6350) Prec@1 51.250 (56.067) Prec@5 84.375 (84.574) Epoch: [78][4990/11272] Time 0.747 (0.778) Data 0.002 (0.002) Loss 1.6371 (1.6349) Prec@1 53.125 (56.068) Prec@5 83.125 (84.578) Epoch: [78][5000/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.6039 (1.6350) Prec@1 57.500 (56.065) Prec@5 83.125 (84.576) Epoch: [78][5010/11272] Time 0.834 (0.778) Data 0.002 (0.002) Loss 1.6475 (1.6350) Prec@1 51.250 (56.065) Prec@5 85.625 (84.578) Epoch: [78][5020/11272] Time 0.738 (0.778) Data 0.002 (0.002) Loss 1.4862 (1.6350) Prec@1 57.500 (56.063) Prec@5 84.375 (84.575) Epoch: [78][5030/11272] Time 0.744 (0.778) Data 0.001 (0.002) Loss 1.6190 (1.6350) Prec@1 53.750 (56.064) Prec@5 81.875 (84.576) Epoch: [78][5040/11272] Time 0.818 (0.778) Data 0.002 (0.002) Loss 1.7442 (1.6351) Prec@1 53.125 (56.060) Prec@5 80.000 (84.573) Epoch: [78][5050/11272] Time 0.805 (0.778) Data 0.002 (0.002) Loss 1.5430 (1.6349) Prec@1 58.125 (56.064) Prec@5 84.375 (84.576) Epoch: [78][5060/11272] Time 0.730 (0.778) Data 0.002 (0.002) Loss 1.5537 (1.6350) Prec@1 55.000 (56.060) Prec@5 84.375 (84.574) Epoch: [78][5070/11272] Time 0.835 (0.778) Data 0.001 (0.002) Loss 1.4151 (1.6350) Prec@1 63.125 (56.058) Prec@5 87.500 (84.573) Epoch: [78][5080/11272] Time 0.810 (0.778) Data 0.001 (0.002) Loss 1.6471 (1.6350) Prec@1 55.625 (56.059) Prec@5 88.750 (84.573) Epoch: [78][5090/11272] Time 0.713 (0.778) Data 0.001 (0.002) Loss 1.6103 (1.6350) Prec@1 56.250 (56.059) Prec@5 86.875 (84.574) Epoch: [78][5100/11272] Time 0.752 (0.778) Data 0.001 (0.002) Loss 1.6721 (1.6350) Prec@1 63.125 (56.062) Prec@5 84.375 (84.573) Epoch: [78][5110/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.8736 (1.6351) Prec@1 48.125 (56.058) Prec@5 80.625 (84.570) Epoch: [78][5120/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.6951 (1.6352) Prec@1 59.375 (56.057) Prec@5 81.875 (84.568) Epoch: [78][5130/11272] Time 0.727 (0.778) Data 0.002 (0.002) Loss 1.7924 (1.6353) Prec@1 48.125 (56.052) Prec@5 78.750 (84.566) Epoch: [78][5140/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.4795 (1.6353) Prec@1 62.500 (56.054) Prec@5 89.375 (84.569) Epoch: [78][5150/11272] Time 0.831 (0.778) Data 0.002 (0.002) Loss 1.5961 (1.6352) Prec@1 60.000 (56.055) Prec@5 82.500 (84.570) Epoch: [78][5160/11272] Time 0.861 (0.778) Data 0.002 (0.002) Loss 1.6290 (1.6352) Prec@1 62.500 (56.057) Prec@5 86.875 (84.568) Epoch: [78][5170/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.5777 (1.6352) Prec@1 56.250 (56.057) Prec@5 83.125 (84.568) Epoch: [78][5180/11272] Time 0.720 (0.778) Data 0.001 (0.002) Loss 1.5154 (1.6351) Prec@1 56.250 (56.060) Prec@5 90.625 (84.571) Epoch: [78][5190/11272] Time 0.865 (0.778) Data 0.001 (0.002) Loss 1.7270 (1.6351) Prec@1 53.750 (56.061) Prec@5 83.750 (84.571) Epoch: [78][5200/11272] Time 0.802 (0.778) Data 0.002 (0.002) Loss 1.4461 (1.6350) Prec@1 63.750 (56.065) Prec@5 87.500 (84.569) Epoch: [78][5210/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.7811 (1.6352) Prec@1 53.750 (56.062) Prec@5 84.375 (84.568) Epoch: [78][5220/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.5352 (1.6353) Prec@1 60.000 (56.063) Prec@5 85.000 (84.568) Epoch: [78][5230/11272] Time 0.873 (0.778) Data 0.002 (0.002) Loss 1.9077 (1.6353) Prec@1 46.875 (56.062) Prec@5 79.375 (84.568) Epoch: [78][5240/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.6475 (1.6354) Prec@1 56.250 (56.060) Prec@5 83.750 (84.564) Epoch: [78][5250/11272] Time 0.711 (0.778) Data 0.002 (0.002) Loss 1.7578 (1.6355) Prec@1 55.625 (56.057) Prec@5 85.625 (84.564) Epoch: [78][5260/11272] Time 0.811 (0.778) Data 0.001 (0.002) Loss 1.5760 (1.6355) Prec@1 54.375 (56.058) Prec@5 85.625 (84.565) Epoch: [78][5270/11272] Time 0.834 (0.778) Data 0.002 (0.002) Loss 1.7308 (1.6354) Prec@1 48.750 (56.058) Prec@5 81.250 (84.565) Epoch: [78][5280/11272] Time 0.744 (0.778) Data 0.001 (0.002) Loss 1.6001 (1.6355) Prec@1 51.875 (56.056) Prec@5 87.500 (84.566) Epoch: [78][5290/11272] Time 0.735 (0.778) Data 0.002 (0.002) Loss 1.5144 (1.6355) Prec@1 61.875 (56.059) Prec@5 87.500 (84.566) Epoch: [78][5300/11272] Time 0.826 (0.778) Data 0.001 (0.002) Loss 1.7187 (1.6353) Prec@1 55.000 (56.061) Prec@5 81.250 (84.566) Epoch: [78][5310/11272] Time 0.804 (0.778) Data 0.002 (0.002) Loss 1.3705 (1.6352) Prec@1 59.375 (56.064) Prec@5 91.875 (84.568) Epoch: [78][5320/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.6464 (1.6352) Prec@1 53.750 (56.063) Prec@5 85.625 (84.570) Epoch: [78][5330/11272] Time 0.732 (0.778) Data 0.001 (0.002) Loss 1.5775 (1.6352) Prec@1 60.000 (56.065) Prec@5 85.625 (84.570) Epoch: [78][5340/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.7925 (1.6352) Prec@1 53.750 (56.065) Prec@5 81.250 (84.568) Epoch: [78][5350/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.6640 (1.6352) Prec@1 54.375 (56.066) Prec@5 83.750 (84.566) Epoch: [78][5360/11272] Time 0.741 (0.778) Data 0.002 (0.002) Loss 1.8572 (1.6353) Prec@1 51.875 (56.062) Prec@5 78.125 (84.561) Epoch: [78][5370/11272] Time 0.871 (0.778) Data 0.002 (0.002) Loss 1.5163 (1.6353) Prec@1 57.500 (56.061) Prec@5 85.000 (84.561) Epoch: [78][5380/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.9441 (1.6354) Prec@1 42.500 (56.056) Prec@5 81.875 (84.560) Epoch: [78][5390/11272] Time 0.743 (0.778) Data 0.002 (0.002) Loss 1.8395 (1.6355) Prec@1 51.875 (56.054) Prec@5 79.375 (84.561) Epoch: [78][5400/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.4984 (1.6354) Prec@1 59.375 (56.054) Prec@5 88.125 (84.562) Epoch: [78][5410/11272] Time 0.867 (0.778) Data 0.002 (0.002) Loss 1.6355 (1.6354) Prec@1 54.375 (56.053) Prec@5 82.500 (84.561) Epoch: [78][5420/11272] Time 0.861 (0.778) Data 0.002 (0.002) Loss 1.6388 (1.6353) Prec@1 56.875 (56.056) Prec@5 86.250 (84.563) Epoch: [78][5430/11272] Time 0.729 (0.778) Data 0.002 (0.002) Loss 1.5857 (1.6353) Prec@1 56.875 (56.052) Prec@5 85.625 (84.562) Epoch: [78][5440/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.9337 (1.6354) Prec@1 53.125 (56.053) Prec@5 80.625 (84.562) Epoch: [78][5450/11272] Time 0.847 (0.778) Data 0.002 (0.002) Loss 1.6112 (1.6353) Prec@1 54.375 (56.055) Prec@5 85.625 (84.562) Epoch: [78][5460/11272] Time 0.854 (0.778) Data 0.002 (0.002) Loss 1.5758 (1.6352) Prec@1 55.625 (56.055) Prec@5 88.750 (84.564) Epoch: [78][5470/11272] Time 0.709 (0.778) Data 0.001 (0.002) Loss 1.6923 (1.6352) Prec@1 53.125 (56.056) Prec@5 84.375 (84.565) Epoch: [78][5480/11272] Time 0.801 (0.778) Data 0.002 (0.002) Loss 1.5856 (1.6351) Prec@1 58.750 (56.058) Prec@5 85.625 (84.567) Epoch: [78][5490/11272] Time 0.794 (0.778) Data 0.002 (0.002) Loss 1.6575 (1.6349) Prec@1 52.500 (56.060) Prec@5 83.750 (84.570) Epoch: [78][5500/11272] Time 0.721 (0.778) Data 0.001 (0.002) Loss 1.4458 (1.6349) Prec@1 58.750 (56.060) Prec@5 88.125 (84.573) Epoch: [78][5510/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.6491 (1.6349) Prec@1 63.750 (56.063) Prec@5 83.750 (84.572) Epoch: [78][5520/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.5972 (1.6349) Prec@1 57.500 (56.062) Prec@5 81.875 (84.572) Epoch: [78][5530/11272] Time 0.826 (0.778) Data 0.001 (0.002) Loss 1.5805 (1.6348) Prec@1 56.875 (56.064) Prec@5 83.750 (84.571) Epoch: [78][5540/11272] Time 0.779 (0.778) Data 0.002 (0.002) Loss 1.5450 (1.6348) Prec@1 58.125 (56.065) Prec@5 88.125 (84.570) Epoch: [78][5550/11272] Time 0.718 (0.778) Data 0.002 (0.002) Loss 1.4122 (1.6348) Prec@1 56.875 (56.067) Prec@5 90.000 (84.572) Epoch: [78][5560/11272] Time 0.812 (0.778) Data 0.002 (0.002) Loss 1.6717 (1.6348) Prec@1 49.375 (56.065) Prec@5 83.750 (84.570) Epoch: [78][5570/11272] Time 0.809 (0.778) Data 0.001 (0.002) Loss 1.4686 (1.6348) Prec@1 58.750 (56.063) Prec@5 88.750 (84.572) Epoch: [78][5580/11272] Time 0.752 (0.778) Data 0.002 (0.002) Loss 1.5032 (1.6347) Prec@1 55.625 (56.065) Prec@5 88.125 (84.573) Epoch: [78][5590/11272] Time 0.737 (0.778) Data 0.002 (0.002) Loss 1.5891 (1.6348) Prec@1 56.250 (56.062) Prec@5 86.250 (84.573) Epoch: [78][5600/11272] Time 0.849 (0.778) Data 0.002 (0.002) Loss 1.6891 (1.6348) Prec@1 56.875 (56.062) Prec@5 84.375 (84.574) Epoch: [78][5610/11272] Time 0.715 (0.778) Data 0.003 (0.002) Loss 1.4808 (1.6347) Prec@1 58.750 (56.065) Prec@5 87.500 (84.576) Epoch: [78][5620/11272] Time 0.764 (0.778) Data 0.002 (0.002) Loss 1.7923 (1.6348) Prec@1 55.000 (56.063) Prec@5 80.000 (84.574) Epoch: [78][5630/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.7159 (1.6348) Prec@1 51.875 (56.063) Prec@5 84.375 (84.575) Epoch: [78][5640/11272] Time 0.864 (0.778) Data 0.002 (0.002) Loss 1.4912 (1.6348) Prec@1 60.000 (56.061) Prec@5 90.000 (84.574) Epoch: [78][5650/11272] Time 0.732 (0.778) Data 0.002 (0.002) Loss 1.6201 (1.6347) Prec@1 52.500 (56.062) Prec@5 86.875 (84.574) Epoch: [78][5660/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.8633 (1.6347) Prec@1 48.750 (56.061) Prec@5 82.500 (84.574) Epoch: [78][5670/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.6708 (1.6346) Prec@1 55.000 (56.061) Prec@5 84.375 (84.577) Epoch: [78][5680/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.3456 (1.6346) Prec@1 63.125 (56.062) Prec@5 89.375 (84.576) Epoch: [78][5690/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 2.0030 (1.6348) Prec@1 43.750 (56.056) Prec@5 79.375 (84.574) Epoch: [78][5700/11272] Time 0.713 (0.778) Data 0.002 (0.002) Loss 1.5345 (1.6348) Prec@1 56.250 (56.055) Prec@5 86.250 (84.574) Epoch: [78][5710/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.5441 (1.6348) Prec@1 56.250 (56.055) Prec@5 87.500 (84.572) Epoch: [78][5720/11272] Time 0.833 (0.778) Data 0.001 (0.002) Loss 1.6497 (1.6349) Prec@1 55.000 (56.053) Prec@5 81.250 (84.570) Epoch: [78][5730/11272] Time 0.727 (0.778) Data 0.003 (0.002) Loss 1.5630 (1.6350) Prec@1 58.125 (56.049) Prec@5 86.250 (84.568) Epoch: [78][5740/11272] Time 0.838 (0.778) Data 0.002 (0.002) Loss 1.9082 (1.6349) Prec@1 51.875 (56.048) Prec@5 76.875 (84.570) Epoch: [78][5750/11272] Time 0.846 (0.778) Data 0.002 (0.002) Loss 1.4708 (1.6349) Prec@1 65.625 (56.049) Prec@5 86.250 (84.570) Epoch: [78][5760/11272] Time 0.702 (0.778) Data 0.001 (0.002) Loss 1.6686 (1.6349) Prec@1 53.750 (56.049) Prec@5 84.375 (84.568) Epoch: [78][5770/11272] Time 0.767 (0.778) Data 0.001 (0.002) Loss 1.4663 (1.6349) Prec@1 56.875 (56.050) Prec@5 90.625 (84.568) Epoch: [78][5780/11272] Time 0.850 (0.778) Data 0.001 (0.002) Loss 1.7548 (1.6349) Prec@1 54.375 (56.048) Prec@5 80.625 (84.570) Epoch: [78][5790/11272] Time 0.833 (0.778) Data 0.001 (0.002) Loss 1.4008 (1.6349) Prec@1 64.375 (56.047) Prec@5 88.750 (84.571) Epoch: [78][5800/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.5328 (1.6349) Prec@1 55.625 (56.047) Prec@5 85.625 (84.570) Epoch: [78][5810/11272] Time 0.750 (0.778) Data 0.001 (0.002) Loss 1.4049 (1.6349) Prec@1 66.875 (56.047) Prec@5 86.250 (84.570) Epoch: [78][5820/11272] Time 0.840 (0.778) Data 0.002 (0.002) Loss 1.7725 (1.6348) Prec@1 52.500 (56.047) Prec@5 83.125 (84.570) Epoch: [78][5830/11272] Time 0.832 (0.778) Data 0.002 (0.002) Loss 1.8836 (1.6350) Prec@1 45.625 (56.043) Prec@5 82.500 (84.568) Epoch: [78][5840/11272] Time 0.754 (0.778) Data 0.002 (0.002) Loss 1.5550 (1.6350) Prec@1 58.125 (56.043) Prec@5 86.250 (84.567) Epoch: [78][5850/11272] Time 0.709 (0.778) Data 0.001 (0.002) Loss 1.5787 (1.6351) Prec@1 56.250 (56.038) Prec@5 88.125 (84.567) Epoch: [78][5860/11272] Time 0.860 (0.778) Data 0.001 (0.002) Loss 1.6959 (1.6351) Prec@1 53.125 (56.036) Prec@5 83.125 (84.568) Epoch: [78][5870/11272] Time 0.706 (0.778) Data 0.003 (0.002) Loss 1.5447 (1.6351) Prec@1 59.375 (56.037) Prec@5 87.500 (84.567) Epoch: [78][5880/11272] Time 0.756 (0.778) Data 0.002 (0.002) Loss 1.4896 (1.6350) Prec@1 58.750 (56.036) Prec@5 88.750 (84.568) Epoch: [78][5890/11272] Time 0.805 (0.778) Data 0.001 (0.002) Loss 1.6913 (1.6349) Prec@1 58.125 (56.036) Prec@5 80.000 (84.568) Epoch: [78][5900/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 2.0695 (1.6350) Prec@1 45.625 (56.036) Prec@5 79.375 (84.567) Epoch: [78][5910/11272] Time 0.695 (0.778) Data 0.001 (0.002) Loss 1.4621 (1.6350) Prec@1 63.750 (56.038) Prec@5 87.500 (84.567) Epoch: [78][5920/11272] Time 0.712 (0.778) Data 0.001 (0.002) Loss 1.6839 (1.6350) Prec@1 53.750 (56.035) Prec@5 83.750 (84.566) Epoch: [78][5930/11272] Time 0.820 (0.778) Data 0.001 (0.002) Loss 1.9869 (1.6350) Prec@1 52.500 (56.038) Prec@5 78.125 (84.566) Epoch: [78][5940/11272] Time 0.800 (0.778) Data 0.001 (0.002) Loss 1.6168 (1.6349) Prec@1 61.250 (56.040) Prec@5 80.000 (84.567) Epoch: [78][5950/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.5125 (1.6350) Prec@1 56.250 (56.038) Prec@5 88.750 (84.566) Epoch: [78][5960/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.5294 (1.6349) Prec@1 63.125 (56.038) Prec@5 85.625 (84.567) Epoch: [78][5970/11272] Time 0.810 (0.778) Data 0.002 (0.002) Loss 1.8676 (1.6349) Prec@1 50.000 (56.039) Prec@5 80.000 (84.567) Epoch: [78][5980/11272] Time 0.854 (0.778) Data 0.002 (0.002) Loss 1.6826 (1.6350) Prec@1 58.750 (56.038) Prec@5 83.750 (84.567) Epoch: [78][5990/11272] Time 0.709 (0.778) Data 0.001 (0.002) Loss 1.9317 (1.6351) Prec@1 45.000 (56.034) Prec@5 82.500 (84.567) Epoch: [78][6000/11272] Time 0.897 (0.778) Data 0.002 (0.002) Loss 1.9124 (1.6351) Prec@1 53.125 (56.035) Prec@5 80.000 (84.566) Epoch: [78][6010/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.3839 (1.6350) Prec@1 61.250 (56.035) Prec@5 86.250 (84.565) Epoch: [78][6020/11272] Time 0.750 (0.778) Data 0.001 (0.002) Loss 1.7932 (1.6350) Prec@1 50.000 (56.035) Prec@5 79.375 (84.566) Epoch: [78][6030/11272] Time 0.730 (0.778) Data 0.002 (0.002) Loss 1.7958 (1.6350) Prec@1 48.750 (56.034) Prec@5 83.750 (84.566) Epoch: [78][6040/11272] Time 0.864 (0.778) Data 0.001 (0.002) Loss 1.6929 (1.6351) Prec@1 60.625 (56.035) Prec@5 82.500 (84.565) Epoch: [78][6050/11272] Time 0.889 (0.778) Data 0.002 (0.002) Loss 1.6951 (1.6351) Prec@1 55.000 (56.034) Prec@5 81.875 (84.565) Epoch: [78][6060/11272] Time 0.738 (0.778) Data 0.002 (0.002) Loss 1.3873 (1.6351) Prec@1 61.875 (56.034) Prec@5 88.125 (84.565) Epoch: [78][6070/11272] Time 0.718 (0.778) Data 0.002 (0.002) Loss 1.7433 (1.6351) Prec@1 55.625 (56.036) Prec@5 80.625 (84.565) Epoch: [78][6080/11272] Time 0.808 (0.778) Data 0.001 (0.002) Loss 1.4541 (1.6351) Prec@1 61.875 (56.037) Prec@5 85.000 (84.564) Epoch: [78][6090/11272] Time 0.852 (0.778) Data 0.001 (0.002) Loss 1.6458 (1.6352) Prec@1 59.375 (56.038) Prec@5 82.500 (84.563) Epoch: [78][6100/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 1.7301 (1.6353) Prec@1 51.875 (56.032) Prec@5 81.875 (84.560) Epoch: [78][6110/11272] Time 0.735 (0.778) Data 0.002 (0.002) Loss 1.7220 (1.6353) Prec@1 60.625 (56.033) Prec@5 83.125 (84.560) Epoch: [78][6120/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.6628 (1.6354) Prec@1 52.500 (56.030) Prec@5 86.875 (84.560) Epoch: [78][6130/11272] Time 0.809 (0.778) Data 0.002 (0.002) Loss 1.5996 (1.6354) Prec@1 61.250 (56.030) Prec@5 87.500 (84.562) Epoch: [78][6140/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.7654 (1.6354) Prec@1 51.250 (56.028) Prec@5 84.375 (84.561) Epoch: [78][6150/11272] Time 0.799 (0.778) Data 0.001 (0.002) Loss 1.6136 (1.6355) Prec@1 56.875 (56.028) Prec@5 86.250 (84.560) Epoch: [78][6160/11272] Time 0.819 (0.778) Data 0.001 (0.002) Loss 1.5477 (1.6355) Prec@1 55.625 (56.028) Prec@5 88.125 (84.559) Epoch: [78][6170/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.3009 (1.6355) Prec@1 65.000 (56.031) Prec@5 88.750 (84.558) Epoch: [78][6180/11272] Time 0.759 (0.778) Data 0.001 (0.002) Loss 1.4543 (1.6355) Prec@1 61.875 (56.031) Prec@5 86.875 (84.559) Epoch: [78][6190/11272] Time 0.819 (0.778) Data 0.001 (0.002) Loss 1.4467 (1.6354) Prec@1 65.000 (56.034) Prec@5 88.750 (84.558) Epoch: [78][6200/11272] Time 0.819 (0.778) Data 0.001 (0.002) Loss 1.6868 (1.6353) Prec@1 51.250 (56.036) Prec@5 84.375 (84.558) Epoch: [78][6210/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.6447 (1.6353) Prec@1 54.375 (56.035) Prec@5 83.125 (84.559) Epoch: [78][6220/11272] Time 0.730 (0.778) Data 0.001 (0.002) Loss 1.5507 (1.6354) Prec@1 59.375 (56.034) Prec@5 87.500 (84.559) Epoch: [78][6230/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.6259 (1.6355) Prec@1 54.375 (56.031) Prec@5 86.250 (84.557) Epoch: [78][6240/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.6679 (1.6356) Prec@1 58.125 (56.030) Prec@5 83.125 (84.556) Epoch: [78][6250/11272] Time 0.706 (0.778) Data 0.001 (0.002) Loss 1.4046 (1.6357) Prec@1 63.750 (56.027) Prec@5 88.750 (84.556) Epoch: [78][6260/11272] Time 0.719 (0.778) Data 0.001 (0.002) Loss 1.6005 (1.6357) Prec@1 58.750 (56.026) Prec@5 85.625 (84.555) Epoch: [78][6270/11272] Time 0.841 (0.778) Data 0.001 (0.002) Loss 1.9291 (1.6358) Prec@1 46.875 (56.025) Prec@5 78.750 (84.553) Epoch: [78][6280/11272] Time 0.694 (0.778) Data 0.001 (0.002) Loss 1.7899 (1.6358) Prec@1 55.625 (56.027) Prec@5 81.875 (84.554) Epoch: [78][6290/11272] Time 0.729 (0.778) Data 0.001 (0.002) Loss 1.5038 (1.6358) Prec@1 56.875 (56.028) Prec@5 85.625 (84.555) Epoch: [78][6300/11272] Time 0.866 (0.778) Data 0.002 (0.002) Loss 1.7001 (1.6358) Prec@1 55.000 (56.029) Prec@5 84.375 (84.555) Epoch: [78][6310/11272] Time 0.817 (0.778) Data 0.002 (0.002) Loss 1.4623 (1.6358) Prec@1 55.625 (56.026) Prec@5 88.125 (84.555) Epoch: [78][6320/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.7258 (1.6358) Prec@1 52.500 (56.024) Prec@5 84.375 (84.555) Epoch: [78][6330/11272] Time 0.731 (0.778) Data 0.002 (0.002) Loss 1.7539 (1.6360) Prec@1 56.875 (56.021) Prec@5 83.125 (84.553) Epoch: [78][6340/11272] Time 0.840 (0.778) Data 0.002 (0.002) Loss 1.8158 (1.6360) Prec@1 48.750 (56.020) Prec@5 81.250 (84.551) Epoch: [78][6350/11272] Time 0.808 (0.778) Data 0.001 (0.002) Loss 1.3958 (1.6361) Prec@1 58.750 (56.018) Prec@5 87.500 (84.549) Epoch: [78][6360/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.5991 (1.6361) Prec@1 56.250 (56.018) Prec@5 86.250 (84.549) Epoch: [78][6370/11272] Time 0.712 (0.778) Data 0.002 (0.002) Loss 2.0018 (1.6362) Prec@1 51.250 (56.019) Prec@5 76.875 (84.548) Epoch: [78][6380/11272] Time 0.823 (0.778) Data 0.002 (0.002) Loss 1.6258 (1.6362) Prec@1 56.875 (56.018) Prec@5 84.375 (84.548) Epoch: [78][6390/11272] Time 0.798 (0.778) Data 0.001 (0.002) Loss 1.8500 (1.6362) Prec@1 51.250 (56.018) Prec@5 83.125 (84.549) Epoch: [78][6400/11272] Time 0.711 (0.778) Data 0.002 (0.002) Loss 1.6340 (1.6362) Prec@1 56.250 (56.018) Prec@5 83.750 (84.548) Epoch: [78][6410/11272] Time 0.826 (0.778) Data 0.001 (0.002) Loss 1.4982 (1.6363) Prec@1 59.375 (56.014) Prec@5 88.750 (84.547) Epoch: [78][6420/11272] Time 0.841 (0.778) Data 0.001 (0.002) Loss 1.5403 (1.6363) Prec@1 60.000 (56.013) Prec@5 85.625 (84.548) Epoch: [78][6430/11272] Time 0.721 (0.778) Data 0.002 (0.002) Loss 1.7067 (1.6363) Prec@1 53.125 (56.012) Prec@5 83.125 (84.549) Epoch: [78][6440/11272] Time 0.699 (0.778) Data 0.001 (0.002) Loss 1.5136 (1.6362) Prec@1 60.000 (56.014) Prec@5 88.750 (84.550) Epoch: [78][6450/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.6456 (1.6363) Prec@1 58.125 (56.013) Prec@5 85.625 (84.549) Epoch: [78][6460/11272] Time 0.865 (0.778) Data 0.002 (0.002) Loss 1.6118 (1.6365) Prec@1 58.125 (56.008) Prec@5 85.625 (84.546) Epoch: [78][6470/11272] Time 0.713 (0.778) Data 0.001 (0.002) Loss 1.4966 (1.6364) Prec@1 58.125 (56.010) Prec@5 88.125 (84.547) Epoch: [78][6480/11272] Time 0.695 (0.778) Data 0.001 (0.002) Loss 1.5815 (1.6364) Prec@1 58.125 (56.009) Prec@5 86.875 (84.546) Epoch: [78][6490/11272] Time 0.805 (0.778) Data 0.001 (0.002) Loss 1.7411 (1.6364) Prec@1 56.250 (56.009) Prec@5 81.250 (84.547) Epoch: [78][6500/11272] Time 0.855 (0.778) Data 0.002 (0.002) Loss 1.7524 (1.6365) Prec@1 57.500 (56.008) Prec@5 81.875 (84.547) Epoch: [78][6510/11272] Time 0.753 (0.778) Data 0.002 (0.002) Loss 1.4485 (1.6365) Prec@1 64.375 (56.008) Prec@5 90.625 (84.547) Epoch: [78][6520/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.6025 (1.6365) Prec@1 58.750 (56.007) Prec@5 84.375 (84.547) Epoch: [78][6530/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.8906 (1.6364) Prec@1 50.625 (56.010) Prec@5 81.875 (84.550) Epoch: [78][6540/11272] Time 0.719 (0.778) Data 0.003 (0.002) Loss 1.6284 (1.6364) Prec@1 57.500 (56.011) Prec@5 82.500 (84.551) Epoch: [78][6550/11272] Time 0.761 (0.778) Data 0.002 (0.002) Loss 1.5772 (1.6363) Prec@1 56.250 (56.010) Prec@5 85.625 (84.552) Epoch: [78][6560/11272] Time 0.885 (0.778) Data 0.002 (0.002) Loss 1.5564 (1.6363) Prec@1 53.750 (56.012) Prec@5 84.375 (84.552) Epoch: [78][6570/11272] Time 0.816 (0.778) Data 0.001 (0.002) Loss 1.6454 (1.6363) Prec@1 54.375 (56.012) Prec@5 85.000 (84.552) Epoch: [78][6580/11272] Time 0.748 (0.778) Data 0.002 (0.002) Loss 1.7325 (1.6363) Prec@1 53.750 (56.013) Prec@5 83.125 (84.551) Epoch: [78][6590/11272] Time 0.704 (0.778) Data 0.001 (0.002) Loss 1.7629 (1.6363) Prec@1 57.500 (56.012) Prec@5 84.375 (84.551) Epoch: [78][6600/11272] Time 0.849 (0.778) Data 0.002 (0.002) Loss 1.6969 (1.6363) Prec@1 52.500 (56.014) Prec@5 79.375 (84.551) Epoch: [78][6610/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.5655 (1.6364) Prec@1 56.875 (56.013) Prec@5 85.000 (84.548) Epoch: [78][6620/11272] Time 0.721 (0.778) Data 0.002 (0.002) Loss 1.4153 (1.6365) Prec@1 61.875 (56.009) Prec@5 87.500 (84.546) Epoch: [78][6630/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 1.6236 (1.6365) Prec@1 56.250 (56.009) Prec@5 83.750 (84.545) Epoch: [78][6640/11272] Time 0.786 (0.778) Data 0.001 (0.002) Loss 1.5872 (1.6365) Prec@1 55.625 (56.008) Prec@5 85.000 (84.545) Epoch: [78][6650/11272] Time 0.841 (0.778) Data 0.002 (0.002) Loss 1.5632 (1.6365) Prec@1 54.375 (56.007) Prec@5 86.875 (84.544) Epoch: [78][6660/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.5644 (1.6365) Prec@1 61.875 (56.009) Prec@5 86.250 (84.545) Epoch: [78][6670/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.7064 (1.6366) Prec@1 55.000 (56.005) Prec@5 81.250 (84.541) Epoch: [78][6680/11272] Time 0.873 (0.778) Data 0.001 (0.002) Loss 1.5261 (1.6366) Prec@1 59.375 (56.002) Prec@5 86.875 (84.541) Epoch: [78][6690/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.9913 (1.6367) Prec@1 49.375 (56.002) Prec@5 78.125 (84.540) Epoch: [78][6700/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.5708 (1.6368) Prec@1 57.500 (56.001) Prec@5 86.250 (84.538) Epoch: [78][6710/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.7420 (1.6368) Prec@1 50.625 (55.997) Prec@5 81.250 (84.537) Epoch: [78][6720/11272] Time 0.815 (0.778) Data 0.001 (0.002) Loss 1.4391 (1.6367) Prec@1 56.875 (55.999) Prec@5 88.125 (84.540) Epoch: [78][6730/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.6382 (1.6366) Prec@1 57.500 (55.999) Prec@5 85.625 (84.543) Epoch: [78][6740/11272] Time 0.713 (0.778) Data 0.002 (0.002) Loss 1.7482 (1.6367) Prec@1 55.000 (55.999) Prec@5 85.000 (84.542) Epoch: [78][6750/11272] Time 0.850 (0.778) Data 0.002 (0.002) Loss 1.2883 (1.6366) Prec@1 60.000 (55.998) Prec@5 91.250 (84.544) Epoch: [78][6760/11272] Time 0.841 (0.778) Data 0.002 (0.002) Loss 1.4903 (1.6366) Prec@1 65.625 (55.999) Prec@5 86.250 (84.543) Epoch: [78][6770/11272] Time 0.696 (0.778) Data 0.001 (0.002) Loss 1.6659 (1.6365) Prec@1 55.000 (56.002) Prec@5 84.375 (84.544) Epoch: [78][6780/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.7613 (1.6365) Prec@1 53.750 (56.002) Prec@5 81.250 (84.542) Epoch: [78][6790/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.8494 (1.6366) Prec@1 45.625 (55.999) Prec@5 77.500 (84.541) Epoch: [78][6800/11272] Time 0.715 (0.778) Data 0.004 (0.002) Loss 1.8261 (1.6365) Prec@1 54.375 (56.000) Prec@5 82.500 (84.542) Epoch: [78][6810/11272] Time 0.752 (0.778) Data 0.002 (0.002) Loss 1.8419 (1.6366) Prec@1 56.875 (55.999) Prec@5 78.125 (84.539) Epoch: [78][6820/11272] Time 0.816 (0.778) Data 0.002 (0.002) Loss 1.6729 (1.6367) Prec@1 55.625 (56.000) Prec@5 85.000 (84.540) Epoch: [78][6830/11272] Time 0.833 (0.778) Data 0.001 (0.002) Loss 1.6860 (1.6367) Prec@1 56.875 (55.999) Prec@5 82.500 (84.537) Epoch: [78][6840/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.4701 (1.6368) Prec@1 55.625 (56.000) Prec@5 89.375 (84.535) Epoch: [78][6850/11272] Time 0.735 (0.778) Data 0.002 (0.002) Loss 1.4297 (1.6368) Prec@1 65.625 (55.999) Prec@5 87.500 (84.535) Epoch: [78][6860/11272] Time 0.820 (0.778) Data 0.001 (0.002) Loss 1.3543 (1.6367) Prec@1 63.750 (56.001) Prec@5 90.625 (84.535) Epoch: [78][6870/11272] Time 0.807 (0.778) Data 0.002 (0.002) Loss 1.5405 (1.6367) Prec@1 59.375 (56.001) Prec@5 87.500 (84.536) Epoch: [78][6880/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.6954 (1.6368) Prec@1 54.375 (55.997) Prec@5 81.875 (84.535) Epoch: [78][6890/11272] Time 0.712 (0.778) Data 0.001 (0.002) Loss 1.6039 (1.6368) Prec@1 61.875 (55.998) Prec@5 85.000 (84.535) Epoch: [78][6900/11272] Time 0.806 (0.778) Data 0.001 (0.002) Loss 1.6018 (1.6369) Prec@1 59.375 (55.995) Prec@5 84.375 (84.534) Epoch: [78][6910/11272] Time 0.780 (0.778) Data 0.001 (0.002) Loss 1.4117 (1.6368) Prec@1 64.375 (55.998) Prec@5 85.000 (84.534) Epoch: [78][6920/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.5196 (1.6368) Prec@1 61.250 (55.996) Prec@5 85.625 (84.534) Epoch: [78][6930/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.5953 (1.6368) Prec@1 55.000 (55.996) Prec@5 85.000 (84.534) Epoch: [78][6940/11272] Time 0.803 (0.778) Data 0.001 (0.002) Loss 1.5876 (1.6369) Prec@1 58.125 (55.995) Prec@5 85.000 (84.532) Epoch: [78][6950/11272] Time 0.705 (0.778) Data 0.001 (0.002) Loss 1.6950 (1.6370) Prec@1 56.250 (55.994) Prec@5 85.000 (84.531) Epoch: [78][6960/11272] Time 0.726 (0.778) Data 0.001 (0.002) Loss 1.5992 (1.6371) Prec@1 57.500 (55.992) Prec@5 84.375 (84.531) Epoch: [78][6970/11272] Time 0.818 (0.778) Data 0.001 (0.002) Loss 1.7530 (1.6371) Prec@1 53.125 (55.990) Prec@5 83.750 (84.530) Epoch: [78][6980/11272] Time 0.812 (0.778) Data 0.002 (0.002) Loss 1.6085 (1.6371) Prec@1 55.000 (55.992) Prec@5 90.000 (84.531) Epoch: [78][6990/11272] Time 0.725 (0.778) Data 0.001 (0.002) Loss 1.8677 (1.6371) Prec@1 51.250 (55.992) Prec@5 82.500 (84.532) Epoch: [78][7000/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 1.6292 (1.6371) Prec@1 55.625 (55.987) Prec@5 82.500 (84.532) Epoch: [78][7010/11272] Time 0.859 (0.778) Data 0.002 (0.002) Loss 1.6868 (1.6371) Prec@1 55.625 (55.988) Prec@5 81.875 (84.531) Epoch: [78][7020/11272] Time 0.804 (0.778) Data 0.001 (0.002) Loss 1.5600 (1.6372) Prec@1 57.500 (55.988) Prec@5 86.875 (84.531) Epoch: [78][7030/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.6983 (1.6372) Prec@1 57.500 (55.988) Prec@5 81.250 (84.531) Epoch: [78][7040/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.6750 (1.6372) Prec@1 56.875 (55.989) Prec@5 84.375 (84.533) Epoch: [78][7050/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.8987 (1.6372) Prec@1 50.625 (55.985) Prec@5 82.500 (84.532) Epoch: [78][7060/11272] Time 0.826 (0.778) Data 0.001 (0.002) Loss 1.8609 (1.6372) Prec@1 48.750 (55.985) Prec@5 81.250 (84.533) Epoch: [78][7070/11272] Time 0.737 (0.778) Data 0.001 (0.002) Loss 1.6686 (1.6372) Prec@1 56.875 (55.985) Prec@5 86.250 (84.534) Epoch: [78][7080/11272] Time 0.855 (0.778) Data 0.002 (0.002) Loss 1.8147 (1.6372) Prec@1 51.875 (55.983) Prec@5 83.750 (84.534) Epoch: [78][7090/11272] Time 0.803 (0.778) Data 0.001 (0.002) Loss 1.5935 (1.6372) Prec@1 54.375 (55.983) Prec@5 82.500 (84.533) Epoch: [78][7100/11272] Time 0.755 (0.778) Data 0.002 (0.002) Loss 1.5281 (1.6371) Prec@1 55.625 (55.987) Prec@5 83.750 (84.535) Epoch: [78][7110/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.8696 (1.6371) Prec@1 50.000 (55.988) Prec@5 83.125 (84.534) Epoch: [78][7120/11272] Time 0.812 (0.778) Data 0.001 (0.002) Loss 1.5933 (1.6371) Prec@1 60.000 (55.987) Prec@5 86.875 (84.533) Epoch: [78][7130/11272] Time 0.851 (0.778) Data 0.001 (0.002) Loss 1.5952 (1.6371) Prec@1 58.750 (55.988) Prec@5 80.000 (84.531) Epoch: [78][7140/11272] Time 0.691 (0.778) Data 0.001 (0.002) Loss 1.5539 (1.6371) Prec@1 61.250 (55.989) Prec@5 85.000 (84.530) Epoch: [78][7150/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.7010 (1.6372) Prec@1 58.750 (55.989) Prec@5 83.750 (84.528) Epoch: [78][7160/11272] Time 0.896 (0.778) Data 0.002 (0.002) Loss 1.8029 (1.6372) Prec@1 56.250 (55.990) Prec@5 79.375 (84.528) Epoch: [78][7170/11272] Time 0.848 (0.778) Data 0.001 (0.002) Loss 1.7470 (1.6372) Prec@1 55.000 (55.988) Prec@5 80.625 (84.528) Epoch: [78][7180/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.7510 (1.6372) Prec@1 55.000 (55.988) Prec@5 80.000 (84.527) Epoch: [78][7190/11272] Time 0.720 (0.778) Data 0.003 (0.002) Loss 1.7743 (1.6372) Prec@1 54.375 (55.986) Prec@5 78.750 (84.527) Epoch: [78][7200/11272] Time 0.806 (0.778) Data 0.001 (0.002) Loss 1.6685 (1.6373) Prec@1 56.875 (55.986) Prec@5 83.750 (84.525) Epoch: [78][7210/11272] Time 0.737 (0.778) Data 0.001 (0.002) Loss 1.6100 (1.6373) Prec@1 55.000 (55.984) Prec@5 85.625 (84.527) Epoch: [78][7220/11272] Time 0.713 (0.778) Data 0.001 (0.002) Loss 1.7102 (1.6373) Prec@1 58.750 (55.985) Prec@5 81.250 (84.526) Epoch: [78][7230/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.5957 (1.6373) Prec@1 59.375 (55.985) Prec@5 84.375 (84.525) Epoch: [78][7240/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.7658 (1.6374) Prec@1 51.875 (55.983) Prec@5 81.875 (84.523) Epoch: [78][7250/11272] Time 0.700 (0.778) Data 0.002 (0.002) Loss 1.6272 (1.6373) Prec@1 53.750 (55.984) Prec@5 87.500 (84.525) Epoch: [78][7260/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 1.7693 (1.6374) Prec@1 58.125 (55.987) Prec@5 83.125 (84.523) Epoch: [78][7270/11272] Time 0.818 (0.778) Data 0.001 (0.002) Loss 1.5046 (1.6373) Prec@1 52.500 (55.984) Prec@5 88.750 (84.526) Epoch: [78][7280/11272] Time 0.828 (0.778) Data 0.001 (0.002) Loss 1.9305 (1.6373) Prec@1 48.750 (55.984) Prec@5 83.750 (84.527) Epoch: [78][7290/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.6612 (1.6374) Prec@1 53.125 (55.983) Prec@5 85.000 (84.525) Epoch: [78][7300/11272] Time 0.714 (0.778) Data 0.002 (0.002) Loss 1.8042 (1.6374) Prec@1 53.750 (55.981) Prec@5 80.625 (84.524) Epoch: [78][7310/11272] Time 0.818 (0.778) Data 0.002 (0.002) Loss 1.4975 (1.6374) Prec@1 63.750 (55.981) Prec@5 83.750 (84.524) Epoch: [78][7320/11272] Time 0.815 (0.778) Data 0.002 (0.002) Loss 1.5712 (1.6374) Prec@1 63.125 (55.982) Prec@5 85.625 (84.524) Epoch: [78][7330/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.7841 (1.6374) Prec@1 46.875 (55.980) Prec@5 85.000 (84.524) Epoch: [78][7340/11272] Time 0.823 (0.778) Data 0.001 (0.002) Loss 1.3559 (1.6374) Prec@1 62.500 (55.981) Prec@5 90.000 (84.525) Epoch: [78][7350/11272] Time 0.823 (0.778) Data 0.002 (0.002) Loss 1.7514 (1.6373) Prec@1 55.625 (55.980) Prec@5 84.375 (84.525) Epoch: [78][7360/11272] Time 0.746 (0.778) Data 0.002 (0.002) Loss 1.6823 (1.6373) Prec@1 50.625 (55.980) Prec@5 84.375 (84.526) Epoch: [78][7370/11272] Time 0.717 (0.778) Data 0.001 (0.002) Loss 1.6858 (1.6373) Prec@1 50.625 (55.980) Prec@5 83.125 (84.528) Epoch: [78][7380/11272] Time 0.834 (0.778) Data 0.001 (0.002) Loss 1.7373 (1.6373) Prec@1 56.250 (55.978) Prec@5 81.250 (84.528) Epoch: [78][7390/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.4242 (1.6373) Prec@1 58.750 (55.976) Prec@5 90.000 (84.528) Epoch: [78][7400/11272] Time 0.731 (0.778) Data 0.002 (0.002) Loss 1.5774 (1.6374) Prec@1 56.875 (55.975) Prec@5 86.250 (84.526) Epoch: [78][7410/11272] Time 0.775 (0.778) Data 0.002 (0.002) Loss 1.6353 (1.6374) Prec@1 55.000 (55.975) Prec@5 85.625 (84.525) Epoch: [78][7420/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.5058 (1.6374) Prec@1 57.500 (55.973) Prec@5 90.000 (84.527) Epoch: [78][7430/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.6691 (1.6374) Prec@1 53.750 (55.973) Prec@5 81.875 (84.527) Epoch: [78][7440/11272] Time 0.735 (0.778) Data 0.002 (0.002) Loss 1.5116 (1.6374) Prec@1 60.000 (55.973) Prec@5 85.625 (84.526) Epoch: [78][7450/11272] Time 0.710 (0.778) Data 0.001 (0.002) Loss 1.5296 (1.6373) Prec@1 56.250 (55.974) Prec@5 86.250 (84.527) Epoch: [78][7460/11272] Time 0.860 (0.778) Data 0.002 (0.002) Loss 1.7624 (1.6373) Prec@1 50.000 (55.974) Prec@5 81.250 (84.527) Epoch: [78][7470/11272] Time 0.718 (0.778) Data 0.003 (0.002) Loss 1.6963 (1.6374) Prec@1 58.125 (55.974) Prec@5 80.000 (84.526) Epoch: [78][7480/11272] Time 0.759 (0.778) Data 0.002 (0.002) Loss 1.9069 (1.6374) Prec@1 49.375 (55.973) Prec@5 78.125 (84.526) Epoch: [78][7490/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.4753 (1.6374) Prec@1 57.500 (55.974) Prec@5 87.500 (84.528) Epoch: [78][7500/11272] Time 0.921 (0.778) Data 0.002 (0.002) Loss 1.7475 (1.6374) Prec@1 53.750 (55.973) Prec@5 85.625 (84.527) Epoch: [78][7510/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 2.0343 (1.6374) Prec@1 52.500 (55.972) Prec@5 76.250 (84.525) Epoch: [78][7520/11272] Time 0.749 (0.778) Data 0.001 (0.002) Loss 1.4814 (1.6374) Prec@1 61.875 (55.975) Prec@5 88.750 (84.526) Epoch: [78][7530/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.7369 (1.6374) Prec@1 53.125 (55.974) Prec@5 81.875 (84.525) Epoch: [78][7540/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.5672 (1.6374) Prec@1 61.875 (55.975) Prec@5 83.125 (84.525) Epoch: [78][7550/11272] Time 0.695 (0.778) Data 0.001 (0.002) Loss 1.4675 (1.6374) Prec@1 56.875 (55.977) Prec@5 88.125 (84.525) Epoch: [78][7560/11272] Time 0.698 (0.778) Data 0.001 (0.002) Loss 1.6929 (1.6375) Prec@1 50.625 (55.974) Prec@5 82.500 (84.523) Epoch: [78][7570/11272] Time 0.823 (0.778) Data 0.002 (0.002) Loss 1.8739 (1.6376) Prec@1 51.250 (55.974) Prec@5 76.250 (84.522) Epoch: [78][7580/11272] Time 0.836 (0.778) Data 0.002 (0.002) Loss 1.8346 (1.6376) Prec@1 49.375 (55.971) Prec@5 81.250 (84.521) Epoch: [78][7590/11272] Time 0.729 (0.778) Data 0.001 (0.002) Loss 1.7144 (1.6377) Prec@1 55.625 (55.969) Prec@5 86.875 (84.519) Epoch: [78][7600/11272] Time 0.795 (0.778) Data 0.001 (0.002) Loss 1.6560 (1.6376) Prec@1 58.750 (55.974) Prec@5 84.375 (84.523) Epoch: [78][7610/11272] Time 0.827 (0.778) Data 0.002 (0.002) Loss 1.5435 (1.6375) Prec@1 61.250 (55.977) Prec@5 83.750 (84.523) Epoch: [78][7620/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.4582 (1.6375) Prec@1 57.500 (55.976) Prec@5 87.500 (84.522) Epoch: [78][7630/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.5556 (1.6376) Prec@1 59.375 (55.974) Prec@5 86.250 (84.522) Epoch: [78][7640/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.6825 (1.6376) Prec@1 58.125 (55.973) Prec@5 83.125 (84.522) Epoch: [78][7650/11272] Time 0.822 (0.778) Data 0.002 (0.002) Loss 1.5614 (1.6376) Prec@1 58.125 (55.972) Prec@5 84.375 (84.521) Epoch: [78][7660/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.6888 (1.6377) Prec@1 50.625 (55.971) Prec@5 85.625 (84.519) Epoch: [78][7670/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.6655 (1.6378) Prec@1 51.875 (55.971) Prec@5 87.500 (84.519) Epoch: [78][7680/11272] Time 0.860 (0.778) Data 0.001 (0.002) Loss 1.5972 (1.6379) Prec@1 56.875 (55.969) Prec@5 85.625 (84.518) Epoch: [78][7690/11272] Time 0.833 (0.778) Data 0.002 (0.002) Loss 1.6134 (1.6380) Prec@1 54.375 (55.967) Prec@5 86.250 (84.518) Epoch: [78][7700/11272] Time 0.718 (0.778) Data 0.002 (0.002) Loss 1.7787 (1.6379) Prec@1 50.000 (55.971) Prec@5 82.500 (84.519) Epoch: [78][7710/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.5867 (1.6379) Prec@1 58.125 (55.973) Prec@5 86.250 (84.519) Epoch: [78][7720/11272] Time 0.812 (0.778) Data 0.002 (0.002) Loss 1.5781 (1.6379) Prec@1 56.250 (55.971) Prec@5 82.500 (84.518) Epoch: [78][7730/11272] Time 0.727 (0.778) Data 0.003 (0.002) Loss 1.7587 (1.6381) Prec@1 51.250 (55.968) Prec@5 85.000 (84.515) Epoch: [78][7740/11272] Time 0.705 (0.778) Data 0.002 (0.002) Loss 1.6569 (1.6382) Prec@1 54.375 (55.965) Prec@5 85.625 (84.515) Epoch: [78][7750/11272] Time 0.812 (0.778) Data 0.001 (0.002) Loss 1.5736 (1.6381) Prec@1 61.250 (55.967) Prec@5 83.750 (84.517) Epoch: [78][7760/11272] Time 0.832 (0.778) Data 0.002 (0.002) Loss 1.5530 (1.6382) Prec@1 55.625 (55.966) Prec@5 88.750 (84.516) Epoch: [78][7770/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.6814 (1.6382) Prec@1 56.875 (55.966) Prec@5 81.875 (84.517) Epoch: [78][7780/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.7479 (1.6382) Prec@1 45.625 (55.966) Prec@5 83.125 (84.516) Epoch: [78][7790/11272] Time 0.837 (0.778) Data 0.002 (0.002) Loss 1.7970 (1.6382) Prec@1 54.375 (55.967) Prec@5 78.750 (84.516) Epoch: [78][7800/11272] Time 0.840 (0.778) Data 0.001 (0.002) Loss 1.7062 (1.6382) Prec@1 58.125 (55.967) Prec@5 81.250 (84.515) Epoch: [78][7810/11272] Time 0.774 (0.778) Data 0.002 (0.002) Loss 1.5754 (1.6383) Prec@1 60.000 (55.966) Prec@5 85.625 (84.515) Epoch: [78][7820/11272] Time 0.714 (0.778) Data 0.002 (0.002) Loss 1.5531 (1.6383) Prec@1 61.875 (55.965) Prec@5 84.375 (84.515) Epoch: [78][7830/11272] Time 0.857 (0.778) Data 0.002 (0.002) Loss 1.5832 (1.6383) Prec@1 53.750 (55.964) Prec@5 86.250 (84.516) Epoch: [78][7840/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.7684 (1.6383) Prec@1 53.750 (55.966) Prec@5 83.125 (84.515) Epoch: [78][7850/11272] Time 0.705 (0.778) Data 0.002 (0.002) Loss 1.8165 (1.6384) Prec@1 56.250 (55.967) Prec@5 78.750 (84.513) Epoch: [78][7860/11272] Time 0.861 (0.778) Data 0.002 (0.002) Loss 1.7710 (1.6384) Prec@1 54.375 (55.968) Prec@5 83.750 (84.514) Epoch: [78][7870/11272] Time 0.869 (0.778) Data 0.002 (0.002) Loss 1.6222 (1.6384) Prec@1 55.625 (55.966) Prec@5 88.125 (84.513) Epoch: [78][7880/11272] Time 0.727 (0.778) Data 0.001 (0.002) Loss 1.5347 (1.6385) Prec@1 57.500 (55.964) Prec@5 86.250 (84.512) Epoch: [78][7890/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.5255 (1.6384) Prec@1 60.000 (55.967) Prec@5 87.500 (84.513) Epoch: [78][7900/11272] Time 0.821 (0.778) Data 0.001 (0.002) Loss 1.6607 (1.6384) Prec@1 56.875 (55.966) Prec@5 80.625 (84.513) Epoch: [78][7910/11272] Time 0.837 (0.778) Data 0.001 (0.002) Loss 1.4238 (1.6384) Prec@1 63.750 (55.968) Prec@5 86.250 (84.514) Epoch: [78][7920/11272] Time 0.732 (0.778) Data 0.002 (0.002) Loss 1.5425 (1.6384) Prec@1 59.375 (55.968) Prec@5 86.250 (84.514) Epoch: [78][7930/11272] Time 0.717 (0.778) Data 0.003 (0.002) Loss 1.5066 (1.6383) Prec@1 59.375 (55.969) Prec@5 89.375 (84.515) Epoch: [78][7940/11272] Time 0.797 (0.778) Data 0.001 (0.002) Loss 1.6420 (1.6383) Prec@1 58.125 (55.968) Prec@5 83.750 (84.514) Epoch: [78][7950/11272] Time 0.821 (0.778) Data 0.002 (0.002) Loss 1.6627 (1.6383) Prec@1 58.125 (55.971) Prec@5 84.375 (84.515) Epoch: [78][7960/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.7506 (1.6384) Prec@1 51.875 (55.969) Prec@5 81.875 (84.513) Epoch: [78][7970/11272] Time 0.775 (0.778) Data 0.001 (0.002) Loss 1.7717 (1.6384) Prec@1 53.750 (55.968) Prec@5 81.250 (84.511) Epoch: [78][7980/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.6270 (1.6385) Prec@1 60.625 (55.967) Prec@5 85.000 (84.510) Epoch: [78][7990/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.5056 (1.6384) Prec@1 58.125 (55.969) Prec@5 85.000 (84.510) Epoch: [78][8000/11272] Time 0.720 (0.778) Data 0.001 (0.002) Loss 1.6254 (1.6385) Prec@1 53.125 (55.968) Prec@5 86.250 (84.509) Epoch: [78][8010/11272] Time 0.802 (0.778) Data 0.001 (0.002) Loss 1.8713 (1.6386) Prec@1 51.250 (55.964) Prec@5 80.000 (84.507) Epoch: [78][8020/11272] Time 0.862 (0.778) Data 0.002 (0.002) Loss 1.5306 (1.6386) Prec@1 56.250 (55.961) Prec@5 83.750 (84.506) Epoch: [78][8030/11272] Time 0.706 (0.778) Data 0.001 (0.002) Loss 1.6076 (1.6387) Prec@1 59.375 (55.959) Prec@5 86.250 (84.506) Epoch: [78][8040/11272] Time 0.713 (0.778) Data 0.002 (0.002) Loss 1.5288 (1.6387) Prec@1 58.125 (55.957) Prec@5 85.625 (84.507) Epoch: [78][8050/11272] Time 0.807 (0.778) Data 0.002 (0.002) Loss 1.6413 (1.6387) Prec@1 55.625 (55.957) Prec@5 86.250 (84.507) Epoch: [78][8060/11272] Time 0.822 (0.778) Data 0.002 (0.002) Loss 1.7356 (1.6388) Prec@1 56.875 (55.955) Prec@5 86.875 (84.507) Epoch: [78][8070/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.7987 (1.6388) Prec@1 50.000 (55.954) Prec@5 81.875 (84.506) Epoch: [78][8080/11272] Time 0.715 (0.778) Data 0.002 (0.002) Loss 1.4976 (1.6389) Prec@1 60.000 (55.954) Prec@5 88.125 (84.505) Epoch: [78][8090/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.7754 (1.6390) Prec@1 52.500 (55.952) Prec@5 83.750 (84.504) Epoch: [78][8100/11272] Time 0.800 (0.778) Data 0.002 (0.002) Loss 1.7062 (1.6389) Prec@1 57.500 (55.954) Prec@5 83.750 (84.504) Epoch: [78][8110/11272] Time 0.739 (0.778) Data 0.001 (0.002) Loss 1.6127 (1.6390) Prec@1 58.125 (55.952) Prec@5 84.375 (84.504) Epoch: [78][8120/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.6179 (1.6390) Prec@1 56.250 (55.953) Prec@5 84.375 (84.503) Epoch: [78][8130/11272] Time 0.887 (0.778) Data 0.002 (0.002) Loss 1.5747 (1.6390) Prec@1 63.125 (55.953) Prec@5 83.125 (84.504) Epoch: [78][8140/11272] Time 0.743 (0.778) Data 0.002 (0.002) Loss 1.8731 (1.6390) Prec@1 52.500 (55.951) Prec@5 81.875 (84.504) Epoch: [78][8150/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.7794 (1.6389) Prec@1 51.250 (55.953) Prec@5 81.250 (84.505) Epoch: [78][8160/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.5606 (1.6389) Prec@1 58.125 (55.955) Prec@5 84.375 (84.506) Epoch: [78][8170/11272] Time 0.826 (0.778) Data 0.001 (0.002) Loss 1.5534 (1.6389) Prec@1 53.750 (55.954) Prec@5 86.250 (84.506) Epoch: [78][8180/11272] Time 0.704 (0.778) Data 0.002 (0.002) Loss 1.7323 (1.6389) Prec@1 55.000 (55.955) Prec@5 78.750 (84.505) Epoch: [78][8190/11272] Time 0.738 (0.778) Data 0.002 (0.002) Loss 1.5722 (1.6389) Prec@1 55.625 (55.955) Prec@5 85.625 (84.506) Epoch: [78][8200/11272] Time 0.911 (0.778) Data 0.002 (0.002) Loss 1.7716 (1.6389) Prec@1 56.875 (55.956) Prec@5 80.625 (84.505) Epoch: [78][8210/11272] Time 0.837 (0.778) Data 0.002 (0.002) Loss 1.6544 (1.6390) Prec@1 58.125 (55.955) Prec@5 85.000 (84.504) Epoch: [78][8220/11272] Time 0.701 (0.778) Data 0.002 (0.002) Loss 1.7808 (1.6390) Prec@1 56.250 (55.955) Prec@5 82.500 (84.504) Epoch: [78][8230/11272] Time 0.709 (0.778) Data 0.001 (0.002) Loss 1.7185 (1.6390) Prec@1 56.250 (55.956) Prec@5 83.125 (84.505) Epoch: [78][8240/11272] Time 0.821 (0.778) Data 0.001 (0.002) Loss 1.6756 (1.6390) Prec@1 55.625 (55.956) Prec@5 85.000 (84.505) Epoch: [78][8250/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.7101 (1.6390) Prec@1 56.250 (55.957) Prec@5 83.125 (84.504) Epoch: [78][8260/11272] Time 0.746 (0.778) Data 0.002 (0.002) Loss 1.5454 (1.6390) Prec@1 55.000 (55.957) Prec@5 83.750 (84.504) Epoch: [78][8270/11272] Time 0.830 (0.778) Data 0.001 (0.002) Loss 1.8026 (1.6390) Prec@1 48.750 (55.953) Prec@5 81.250 (84.503) Epoch: [78][8280/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.6935 (1.6390) Prec@1 56.250 (55.956) Prec@5 85.625 (84.504) Epoch: [78][8290/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 1.6639 (1.6389) Prec@1 54.375 (55.957) Prec@5 83.125 (84.505) Epoch: [78][8300/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.7750 (1.6389) Prec@1 55.625 (55.959) Prec@5 81.250 (84.505) Epoch: [78][8310/11272] Time 0.844 (0.778) Data 0.001 (0.002) Loss 1.6406 (1.6389) Prec@1 50.625 (55.959) Prec@5 86.250 (84.504) Epoch: [78][8320/11272] Time 0.794 (0.778) Data 0.001 (0.002) Loss 1.5563 (1.6389) Prec@1 56.875 (55.958) Prec@5 86.875 (84.504) Epoch: [78][8330/11272] Time 0.713 (0.778) Data 0.002 (0.002) Loss 1.7666 (1.6390) Prec@1 55.000 (55.957) Prec@5 84.375 (84.502) Epoch: [78][8340/11272] Time 0.725 (0.778) Data 0.001 (0.002) Loss 1.5189 (1.6391) Prec@1 52.500 (55.955) Prec@5 85.000 (84.501) Epoch: [78][8350/11272] Time 0.831 (0.778) Data 0.002 (0.002) Loss 1.5227 (1.6391) Prec@1 59.375 (55.954) Prec@5 86.250 (84.500) Epoch: [78][8360/11272] Time 0.843 (0.778) Data 0.002 (0.002) Loss 1.8343 (1.6392) Prec@1 50.000 (55.953) Prec@5 83.125 (84.500) Epoch: [78][8370/11272] Time 0.701 (0.778) Data 0.001 (0.002) Loss 1.4825 (1.6392) Prec@1 55.625 (55.953) Prec@5 88.125 (84.499) Epoch: [78][8380/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.7427 (1.6392) Prec@1 57.500 (55.953) Prec@5 81.250 (84.498) Epoch: [78][8390/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.7873 (1.6393) Prec@1 50.625 (55.952) Prec@5 83.125 (84.497) Epoch: [78][8400/11272] Time 0.708 (0.778) Data 0.003 (0.002) Loss 1.6812 (1.6393) Prec@1 55.000 (55.952) Prec@5 84.375 (84.497) Epoch: [78][8410/11272] Time 0.706 (0.778) Data 0.001 (0.002) Loss 1.4393 (1.6394) Prec@1 60.625 (55.951) Prec@5 86.875 (84.496) Epoch: [78][8420/11272] Time 0.879 (0.778) Data 0.002 (0.002) Loss 1.5932 (1.6393) Prec@1 55.000 (55.952) Prec@5 86.250 (84.497) Epoch: [78][8430/11272] Time 0.846 (0.778) Data 0.001 (0.002) Loss 1.7091 (1.6395) Prec@1 53.125 (55.951) Prec@5 84.375 (84.495) Epoch: [78][8440/11272] Time 0.725 (0.778) Data 0.001 (0.002) Loss 1.7371 (1.6394) Prec@1 52.500 (55.952) Prec@5 83.750 (84.496) Epoch: [78][8450/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.7316 (1.6394) Prec@1 55.625 (55.951) Prec@5 85.000 (84.496) Epoch: [78][8460/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.5678 (1.6394) Prec@1 60.000 (55.954) Prec@5 85.000 (84.496) Epoch: [78][8470/11272] Time 0.808 (0.778) Data 0.001 (0.002) Loss 1.8187 (1.6395) Prec@1 48.750 (55.950) Prec@5 82.500 (84.493) Epoch: [78][8480/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.4609 (1.6395) Prec@1 61.875 (55.951) Prec@5 85.625 (84.495) Epoch: [78][8490/11272] Time 0.728 (0.778) Data 0.002 (0.002) Loss 1.7282 (1.6394) Prec@1 52.500 (55.951) Prec@5 83.750 (84.496) Epoch: [78][8500/11272] Time 0.849 (0.778) Data 0.002 (0.002) Loss 1.8044 (1.6394) Prec@1 53.125 (55.948) Prec@5 79.375 (84.496) Epoch: [78][8510/11272] Time 0.798 (0.778) Data 0.002 (0.002) Loss 1.5515 (1.6395) Prec@1 59.375 (55.946) Prec@5 83.750 (84.494) Epoch: [78][8520/11272] Time 0.722 (0.778) Data 0.001 (0.002) Loss 1.7153 (1.6396) Prec@1 56.875 (55.944) Prec@5 81.875 (84.492) Epoch: [78][8530/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 1.8201 (1.6397) Prec@1 52.500 (55.942) Prec@5 81.875 (84.492) Epoch: [78][8540/11272] Time 0.810 (0.778) Data 0.001 (0.002) Loss 1.5414 (1.6397) Prec@1 54.375 (55.942) Prec@5 88.125 (84.491) Epoch: [78][8550/11272] Time 0.724 (0.778) Data 0.001 (0.002) Loss 1.5756 (1.6396) Prec@1 60.000 (55.944) Prec@5 86.875 (84.492) Epoch: [78][8560/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.5706 (1.6396) Prec@1 57.500 (55.945) Prec@5 85.625 (84.490) Epoch: [78][8570/11272] Time 0.852 (0.778) Data 0.002 (0.002) Loss 1.6987 (1.6397) Prec@1 56.875 (55.944) Prec@5 84.375 (84.489) Epoch: [78][8580/11272] Time 0.869 (0.778) Data 0.002 (0.002) Loss 1.5830 (1.6397) Prec@1 55.000 (55.942) Prec@5 89.375 (84.489) Epoch: [78][8590/11272] Time 0.741 (0.778) Data 0.002 (0.002) Loss 1.6939 (1.6397) Prec@1 54.375 (55.941) Prec@5 83.125 (84.490) Epoch: [78][8600/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.6149 (1.6397) Prec@1 57.500 (55.939) Prec@5 82.500 (84.490) Epoch: [78][8610/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.5206 (1.6398) Prec@1 58.750 (55.940) Prec@5 88.750 (84.490) Epoch: [78][8620/11272] Time 0.833 (0.778) Data 0.002 (0.002) Loss 1.7685 (1.6398) Prec@1 57.500 (55.938) Prec@5 83.125 (84.490) Epoch: [78][8630/11272] Time 0.736 (0.778) Data 0.002 (0.002) Loss 1.5328 (1.6398) Prec@1 60.625 (55.939) Prec@5 85.625 (84.490) Epoch: [78][8640/11272] Time 0.737 (0.778) Data 0.002 (0.002) Loss 1.5770 (1.6398) Prec@1 55.000 (55.940) Prec@5 84.375 (84.491) Epoch: [78][8650/11272] Time 0.843 (0.778) Data 0.002 (0.002) Loss 1.6361 (1.6398) Prec@1 55.625 (55.939) Prec@5 81.875 (84.490) Epoch: [78][8660/11272] Time 0.710 (0.778) Data 0.003 (0.002) Loss 1.6219 (1.6398) Prec@1 57.500 (55.941) Prec@5 80.625 (84.488) Epoch: [78][8670/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.6230 (1.6398) Prec@1 53.750 (55.940) Prec@5 88.750 (84.489) Epoch: [78][8680/11272] Time 0.822 (0.778) Data 0.001 (0.002) Loss 1.6576 (1.6398) Prec@1 58.125 (55.940) Prec@5 84.375 (84.489) Epoch: [78][8690/11272] Time 0.838 (0.778) Data 0.002 (0.002) Loss 1.7732 (1.6399) Prec@1 55.000 (55.940) Prec@5 80.625 (84.487) Epoch: [78][8700/11272] Time 0.717 (0.778) Data 0.001 (0.002) Loss 1.6612 (1.6398) Prec@1 53.750 (55.939) Prec@5 86.250 (84.487) Epoch: [78][8710/11272] Time 0.740 (0.778) Data 0.002 (0.002) Loss 1.4430 (1.6398) Prec@1 63.750 (55.938) Prec@5 86.875 (84.486) Epoch: [78][8720/11272] Time 0.896 (0.778) Data 0.006 (0.002) Loss 1.6239 (1.6399) Prec@1 60.625 (55.937) Prec@5 85.625 (84.486) Epoch: [78][8730/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.4755 (1.6399) Prec@1 60.625 (55.936) Prec@5 86.250 (84.487) Epoch: [78][8740/11272] Time 0.750 (0.778) Data 0.001 (0.002) Loss 1.8901 (1.6398) Prec@1 51.250 (55.937) Prec@5 80.625 (84.486) Epoch: [78][8750/11272] Time 0.721 (0.778) Data 0.002 (0.002) Loss 1.5330 (1.6399) Prec@1 61.875 (55.938) Prec@5 86.875 (84.485) Epoch: [78][8760/11272] Time 0.819 (0.778) Data 0.001 (0.002) Loss 1.7379 (1.6398) Prec@1 54.375 (55.938) Prec@5 82.500 (84.486) Epoch: [78][8770/11272] Time 0.892 (0.778) Data 0.002 (0.002) Loss 1.5179 (1.6397) Prec@1 57.500 (55.941) Prec@5 86.875 (84.486) Epoch: [78][8780/11272] Time 0.741 (0.778) Data 0.002 (0.002) Loss 1.7694 (1.6398) Prec@1 54.375 (55.938) Prec@5 83.125 (84.486) Epoch: [78][8790/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.7071 (1.6398) Prec@1 62.500 (55.937) Prec@5 82.500 (84.486) Epoch: [78][8800/11272] Time 0.866 (0.778) Data 0.002 (0.002) Loss 1.8046 (1.6398) Prec@1 52.500 (55.938) Prec@5 83.750 (84.487) Epoch: [78][8810/11272] Time 0.730 (0.778) Data 0.001 (0.002) Loss 1.7832 (1.6399) Prec@1 52.500 (55.935) Prec@5 81.875 (84.486) Epoch: [78][8820/11272] Time 0.747 (0.778) Data 0.001 (0.002) Loss 1.5101 (1.6399) Prec@1 54.375 (55.933) Prec@5 90.625 (84.486) Epoch: [78][8830/11272] Time 0.831 (0.778) Data 0.002 (0.002) Loss 1.6334 (1.6399) Prec@1 55.000 (55.934) Prec@5 85.625 (84.486) Epoch: [78][8840/11272] Time 0.809 (0.778) Data 0.001 (0.002) Loss 1.3581 (1.6399) Prec@1 58.750 (55.935) Prec@5 91.250 (84.486) Epoch: [78][8850/11272] Time 0.728 (0.778) Data 0.002 (0.002) Loss 1.7710 (1.6399) Prec@1 54.375 (55.936) Prec@5 80.625 (84.486) Epoch: [78][8860/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.6414 (1.6399) Prec@1 60.000 (55.935) Prec@5 85.000 (84.485) Epoch: [78][8870/11272] Time 0.870 (0.778) Data 0.002 (0.002) Loss 1.8462 (1.6400) Prec@1 55.000 (55.935) Prec@5 81.875 (84.485) Epoch: [78][8880/11272] Time 0.806 (0.778) Data 0.002 (0.002) Loss 1.6474 (1.6399) Prec@1 59.375 (55.938) Prec@5 82.500 (84.486) Epoch: [78][8890/11272] Time 0.723 (0.778) Data 0.001 (0.002) Loss 1.7772 (1.6399) Prec@1 52.500 (55.937) Prec@5 83.750 (84.485) Epoch: [78][8900/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.7138 (1.6399) Prec@1 53.750 (55.935) Prec@5 85.625 (84.485) Epoch: [78][8910/11272] Time 0.861 (0.778) Data 0.002 (0.002) Loss 1.6433 (1.6398) Prec@1 57.500 (55.938) Prec@5 86.250 (84.486) Epoch: [78][8920/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.6973 (1.6397) Prec@1 53.750 (55.939) Prec@5 85.000 (84.486) Epoch: [78][8930/11272] Time 0.745 (0.778) Data 0.002 (0.002) Loss 1.7868 (1.6397) Prec@1 48.750 (55.939) Prec@5 85.000 (84.487) Epoch: [78][8940/11272] Time 0.853 (0.778) Data 0.001 (0.002) Loss 1.5335 (1.6396) Prec@1 58.125 (55.940) Prec@5 86.875 (84.488) Epoch: [78][8950/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.8725 (1.6398) Prec@1 55.000 (55.937) Prec@5 79.375 (84.486) Epoch: [78][8960/11272] Time 0.738 (0.778) Data 0.002 (0.002) Loss 1.7845 (1.6399) Prec@1 55.000 (55.935) Prec@5 82.500 (84.485) Epoch: [78][8970/11272] Time 0.727 (0.778) Data 0.001 (0.002) Loss 1.6418 (1.6399) Prec@1 54.375 (55.935) Prec@5 85.000 (84.484) Epoch: [78][8980/11272] Time 0.813 (0.778) Data 0.001 (0.002) Loss 1.6173 (1.6399) Prec@1 53.750 (55.935) Prec@5 81.875 (84.484) Epoch: [78][8990/11272] Time 0.832 (0.778) Data 0.002 (0.002) Loss 1.6207 (1.6400) Prec@1 57.500 (55.936) Prec@5 85.000 (84.483) Epoch: [78][9000/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 1.6865 (1.6399) Prec@1 55.625 (55.937) Prec@5 81.875 (84.482) Epoch: [78][9010/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.8296 (1.6400) Prec@1 50.625 (55.935) Prec@5 80.625 (84.482) Epoch: [78][9020/11272] Time 0.831 (0.778) Data 0.001 (0.002) Loss 1.6733 (1.6400) Prec@1 56.250 (55.935) Prec@5 82.500 (84.482) Epoch: [78][9030/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.7679 (1.6401) Prec@1 55.000 (55.933) Prec@5 82.500 (84.479) Epoch: [78][9040/11272] Time 0.752 (0.778) Data 0.001 (0.002) Loss 1.5556 (1.6401) Prec@1 60.000 (55.932) Prec@5 84.375 (84.477) Epoch: [78][9050/11272] Time 0.710 (0.778) Data 0.001 (0.002) Loss 1.7130 (1.6402) Prec@1 51.875 (55.931) Prec@5 84.375 (84.477) Epoch: [78][9060/11272] Time 0.788 (0.778) Data 0.001 (0.002) Loss 1.4438 (1.6403) Prec@1 60.625 (55.930) Prec@5 85.625 (84.475) Epoch: [78][9070/11272] Time 0.753 (0.778) Data 0.001 (0.002) Loss 1.5694 (1.6403) Prec@1 56.875 (55.929) Prec@5 83.750 (84.475) Epoch: [78][9080/11272] Time 0.705 (0.778) Data 0.001 (0.002) Loss 1.6365 (1.6403) Prec@1 55.000 (55.928) Prec@5 84.375 (84.475) Epoch: [78][9090/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.5761 (1.6402) Prec@1 58.750 (55.931) Prec@5 84.375 (84.476) Epoch: [78][9100/11272] Time 0.868 (0.778) Data 0.002 (0.002) Loss 1.7378 (1.6403) Prec@1 54.375 (55.930) Prec@5 82.500 (84.476) Epoch: [78][9110/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.7904 (1.6404) Prec@1 48.125 (55.928) Prec@5 80.625 (84.474) Epoch: [78][9120/11272] Time 0.705 (0.778) Data 0.001 (0.002) Loss 1.5863 (1.6404) Prec@1 54.375 (55.927) Prec@5 85.625 (84.474) Epoch: [78][9130/11272] Time 0.829 (0.778) Data 0.002 (0.002) Loss 1.7934 (1.6404) Prec@1 53.750 (55.927) Prec@5 81.250 (84.473) Epoch: [78][9140/11272] Time 0.806 (0.778) Data 0.001 (0.002) Loss 1.5331 (1.6404) Prec@1 60.000 (55.927) Prec@5 85.000 (84.474) Epoch: [78][9150/11272] Time 0.697 (0.778) Data 0.001 (0.002) Loss 1.8218 (1.6405) Prec@1 50.000 (55.925) Prec@5 83.125 (84.473) Epoch: [78][9160/11272] Time 0.753 (0.778) Data 0.002 (0.002) Loss 1.7294 (1.6404) Prec@1 52.500 (55.927) Prec@5 82.500 (84.473) Epoch: [78][9170/11272] Time 0.816 (0.778) Data 0.002 (0.002) Loss 1.5515 (1.6405) Prec@1 55.625 (55.926) Prec@5 88.125 (84.472) Epoch: [78][9180/11272] Time 0.812 (0.778) Data 0.002 (0.002) Loss 1.7534 (1.6405) Prec@1 48.750 (55.925) Prec@5 83.750 (84.473) Epoch: [78][9190/11272] Time 0.680 (0.778) Data 0.001 (0.002) Loss 1.6888 (1.6404) Prec@1 50.625 (55.926) Prec@5 83.750 (84.474) Epoch: [78][9200/11272] Time 0.823 (0.778) Data 0.002 (0.002) Loss 1.4394 (1.6404) Prec@1 60.000 (55.926) Prec@5 88.125 (84.475) Epoch: [78][9210/11272] Time 0.822 (0.778) Data 0.002 (0.002) Loss 1.4723 (1.6404) Prec@1 56.875 (55.925) Prec@5 86.250 (84.476) Epoch: [78][9220/11272] Time 0.727 (0.778) Data 0.002 (0.002) Loss 1.6036 (1.6403) Prec@1 56.875 (55.927) Prec@5 85.625 (84.477) Epoch: [78][9230/11272] Time 0.733 (0.778) Data 0.001 (0.002) Loss 1.5206 (1.6404) Prec@1 60.625 (55.926) Prec@5 88.125 (84.476) Epoch: [78][9240/11272] Time 0.821 (0.778) Data 0.002 (0.002) Loss 1.7996 (1.6404) Prec@1 57.500 (55.926) Prec@5 79.375 (84.475) Epoch: [78][9250/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.6454 (1.6405) Prec@1 55.000 (55.925) Prec@5 81.875 (84.473) Epoch: [78][9260/11272] Time 0.712 (0.778) Data 0.001 (0.002) Loss 1.5904 (1.6405) Prec@1 60.000 (55.925) Prec@5 86.250 (84.472) Epoch: [78][9270/11272] Time 0.697 (0.778) Data 0.001 (0.002) Loss 1.9351 (1.6406) Prec@1 50.000 (55.922) Prec@5 78.750 (84.470) Epoch: [78][9280/11272] Time 0.847 (0.778) Data 0.002 (0.002) Loss 1.4257 (1.6406) Prec@1 62.500 (55.924) Prec@5 86.875 (84.471) Epoch: [78][9290/11272] Time 0.814 (0.778) Data 0.002 (0.002) Loss 1.7250 (1.6405) Prec@1 48.750 (55.925) Prec@5 85.625 (84.472) Epoch: [78][9300/11272] Time 0.701 (0.778) Data 0.002 (0.002) Loss 1.5530 (1.6406) Prec@1 57.500 (55.924) Prec@5 83.750 (84.469) Epoch: [78][9310/11272] Time 0.712 (0.778) Data 0.001 (0.002) Loss 1.5416 (1.6405) Prec@1 61.875 (55.925) Prec@5 86.250 (84.470) Epoch: [78][9320/11272] Time 0.821 (0.778) Data 0.002 (0.002) Loss 1.8550 (1.6406) Prec@1 53.750 (55.923) Prec@5 79.375 (84.470) Epoch: [78][9330/11272] Time 0.718 (0.778) Data 0.003 (0.002) Loss 1.7680 (1.6406) Prec@1 53.125 (55.924) Prec@5 80.000 (84.469) Epoch: [78][9340/11272] Time 0.726 (0.778) Data 0.001 (0.002) Loss 1.7023 (1.6406) Prec@1 54.375 (55.923) Prec@5 86.875 (84.470) Epoch: [78][9350/11272] Time 0.822 (0.778) Data 0.001 (0.002) Loss 1.6080 (1.6407) Prec@1 55.625 (55.920) Prec@5 83.750 (84.468) Epoch: [78][9360/11272] Time 0.867 (0.778) Data 0.001 (0.002) Loss 1.8896 (1.6408) Prec@1 53.750 (55.921) Prec@5 78.750 (84.468) Epoch: [78][9370/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.6034 (1.6407) Prec@1 60.625 (55.922) Prec@5 83.125 (84.469) Epoch: [78][9380/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.6411 (1.6407) Prec@1 54.375 (55.923) Prec@5 82.500 (84.470) Epoch: [78][9390/11272] Time 0.840 (0.778) Data 0.001 (0.002) Loss 1.7587 (1.6407) Prec@1 56.250 (55.923) Prec@5 82.500 (84.471) Epoch: [78][9400/11272] Time 0.875 (0.778) Data 0.001 (0.002) Loss 1.6736 (1.6406) Prec@1 56.250 (55.924) Prec@5 83.750 (84.471) Epoch: [78][9410/11272] Time 0.742 (0.778) Data 0.003 (0.002) Loss 1.8712 (1.6407) Prec@1 50.000 (55.922) Prec@5 80.625 (84.470) Epoch: [78][9420/11272] Time 0.760 (0.778) Data 0.001 (0.002) Loss 1.4818 (1.6406) Prec@1 60.000 (55.923) Prec@5 88.125 (84.470) Epoch: [78][9430/11272] Time 0.859 (0.778) Data 0.001 (0.002) Loss 1.3607 (1.6407) Prec@1 59.375 (55.920) Prec@5 88.125 (84.469) Epoch: [78][9440/11272] Time 0.804 (0.778) Data 0.002 (0.002) Loss 1.7210 (1.6406) Prec@1 53.125 (55.920) Prec@5 81.875 (84.470) Epoch: [78][9450/11272] Time 0.711 (0.778) Data 0.002 (0.002) Loss 1.7656 (1.6407) Prec@1 48.750 (55.918) Prec@5 84.375 (84.471) Epoch: [78][9460/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 1.6468 (1.6406) Prec@1 53.750 (55.921) Prec@5 84.375 (84.471) Epoch: [78][9470/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.3938 (1.6406) Prec@1 58.750 (55.921) Prec@5 89.375 (84.471) Epoch: [78][9480/11272] Time 0.710 (0.778) Data 0.001 (0.002) Loss 1.5765 (1.6406) Prec@1 56.875 (55.919) Prec@5 85.000 (84.470) Epoch: [78][9490/11272] Time 0.706 (0.778) Data 0.002 (0.002) Loss 1.6071 (1.6407) Prec@1 55.625 (55.920) Prec@5 84.375 (84.469) Epoch: [78][9500/11272] Time 0.852 (0.778) Data 0.001 (0.002) Loss 1.6168 (1.6406) Prec@1 60.625 (55.919) Prec@5 83.125 (84.468) Epoch: [78][9510/11272] Time 0.806 (0.778) Data 0.001 (0.002) Loss 1.8086 (1.6407) Prec@1 52.500 (55.918) Prec@5 81.250 (84.468) Epoch: [78][9520/11272] Time 0.740 (0.778) Data 0.002 (0.002) Loss 1.5954 (1.6407) Prec@1 56.250 (55.917) Prec@5 86.250 (84.467) Epoch: [78][9530/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.7482 (1.6406) Prec@1 57.500 (55.918) Prec@5 81.250 (84.468) Epoch: [78][9540/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.6960 (1.6406) Prec@1 55.000 (55.919) Prec@5 81.250 (84.467) Epoch: [78][9550/11272] Time 0.814 (0.778) Data 0.002 (0.002) Loss 1.7883 (1.6406) Prec@1 55.625 (55.918) Prec@5 79.375 (84.468) Epoch: [78][9560/11272] Time 0.714 (0.778) Data 0.002 (0.002) Loss 1.6045 (1.6406) Prec@1 55.000 (55.918) Prec@5 84.375 (84.468) Epoch: [78][9570/11272] Time 0.724 (0.778) Data 0.001 (0.002) Loss 1.6516 (1.6406) Prec@1 52.500 (55.918) Prec@5 85.000 (84.470) Epoch: [78][9580/11272] Time 0.814 (0.778) Data 0.002 (0.002) Loss 1.7729 (1.6405) Prec@1 58.125 (55.918) Prec@5 81.875 (84.470) Epoch: [78][9590/11272] Time 0.738 (0.778) Data 0.003 (0.002) Loss 1.4922 (1.6405) Prec@1 60.625 (55.919) Prec@5 88.750 (84.470) Epoch: [78][9600/11272] Time 0.702 (0.778) Data 0.001 (0.002) Loss 1.5984 (1.6406) Prec@1 58.125 (55.919) Prec@5 88.125 (84.469) Epoch: [78][9610/11272] Time 0.883 (0.778) Data 0.001 (0.002) Loss 1.6418 (1.6406) Prec@1 55.625 (55.918) Prec@5 86.875 (84.467) Epoch: [78][9620/11272] Time 0.902 (0.778) Data 0.002 (0.002) Loss 1.6547 (1.6406) Prec@1 53.125 (55.919) Prec@5 84.375 (84.467) Epoch: [78][9630/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.6395 (1.6407) Prec@1 60.000 (55.917) Prec@5 83.750 (84.465) Epoch: [78][9640/11272] Time 0.718 (0.778) Data 0.002 (0.002) Loss 1.7665 (1.6407) Prec@1 53.750 (55.914) Prec@5 83.750 (84.465) Epoch: [78][9650/11272] Time 0.811 (0.778) Data 0.002 (0.002) Loss 1.8538 (1.6407) Prec@1 53.750 (55.913) Prec@5 79.375 (84.464) Epoch: [78][9660/11272] Time 0.854 (0.778) Data 0.002 (0.002) Loss 1.4018 (1.6407) Prec@1 61.250 (55.914) Prec@5 87.500 (84.465) Epoch: [78][9670/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.4261 (1.6406) Prec@1 65.000 (55.916) Prec@5 85.625 (84.465) Epoch: [78][9680/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.6320 (1.6406) Prec@1 50.625 (55.915) Prec@5 85.625 (84.466) Epoch: [78][9690/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.6849 (1.6406) Prec@1 56.250 (55.915) Prec@5 83.125 (84.467) Epoch: [78][9700/11272] Time 0.828 (0.778) Data 0.001 (0.002) Loss 1.7978 (1.6406) Prec@1 55.000 (55.916) Prec@5 77.500 (84.466) Epoch: [78][9710/11272] Time 0.699 (0.778) Data 0.002 (0.002) Loss 1.6275 (1.6406) Prec@1 52.500 (55.917) Prec@5 85.625 (84.466) Epoch: [78][9720/11272] Time 0.834 (0.778) Data 0.001 (0.002) Loss 1.4245 (1.6405) Prec@1 59.375 (55.916) Prec@5 88.125 (84.466) Epoch: [78][9730/11272] Time 0.852 (0.778) Data 0.002 (0.002) Loss 1.5796 (1.6405) Prec@1 61.250 (55.917) Prec@5 83.750 (84.465) Epoch: [78][9740/11272] Time 0.772 (0.778) Data 0.002 (0.002) Loss 1.5526 (1.6405) Prec@1 60.000 (55.918) Prec@5 84.375 (84.464) Epoch: [78][9750/11272] Time 0.719 (0.778) Data 0.001 (0.002) Loss 1.7448 (1.6405) Prec@1 52.500 (55.918) Prec@5 83.125 (84.464) Epoch: [78][9760/11272] Time 0.805 (0.778) Data 0.001 (0.002) Loss 1.6331 (1.6406) Prec@1 60.000 (55.917) Prec@5 85.000 (84.465) Epoch: [78][9770/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.3697 (1.6405) Prec@1 61.875 (55.917) Prec@5 90.625 (84.467) Epoch: [78][9780/11272] Time 0.711 (0.778) Data 0.002 (0.002) Loss 1.7730 (1.6405) Prec@1 55.000 (55.917) Prec@5 86.250 (84.466) Epoch: [78][9790/11272] Time 0.745 (0.778) Data 0.002 (0.002) Loss 1.7839 (1.6405) Prec@1 50.000 (55.918) Prec@5 80.625 (84.467) Epoch: [78][9800/11272] Time 0.813 (0.778) Data 0.001 (0.002) Loss 1.4725 (1.6405) Prec@1 56.875 (55.918) Prec@5 89.375 (84.467) Epoch: [78][9810/11272] Time 0.817 (0.778) Data 0.002 (0.002) Loss 1.5125 (1.6405) Prec@1 60.625 (55.917) Prec@5 88.125 (84.467) Epoch: [78][9820/11272] Time 0.704 (0.778) Data 0.002 (0.002) Loss 1.3929 (1.6404) Prec@1 62.500 (55.921) Prec@5 89.375 (84.468) Epoch: [78][9830/11272] Time 0.753 (0.778) Data 0.002 (0.002) Loss 1.3153 (1.6404) Prec@1 67.500 (55.921) Prec@5 88.750 (84.468) Epoch: [78][9840/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.7108 (1.6405) Prec@1 55.625 (55.919) Prec@5 85.000 (84.466) Epoch: [78][9850/11272] Time 0.822 (0.778) Data 0.001 (0.002) Loss 1.6966 (1.6405) Prec@1 53.125 (55.921) Prec@5 83.750 (84.466) Epoch: [78][9860/11272] Time 0.711 (0.778) Data 0.002 (0.002) Loss 1.6988 (1.6405) Prec@1 51.250 (55.920) Prec@5 83.125 (84.466) Epoch: [78][9870/11272] Time 0.821 (0.778) Data 0.001 (0.002) Loss 1.5519 (1.6404) Prec@1 58.750 (55.922) Prec@5 85.625 (84.467) Epoch: [78][9880/11272] Time 0.814 (0.778) Data 0.001 (0.002) Loss 1.7104 (1.6404) Prec@1 55.625 (55.922) Prec@5 84.375 (84.468) Epoch: [78][9890/11272] Time 0.732 (0.778) Data 0.002 (0.002) Loss 1.6504 (1.6404) Prec@1 56.250 (55.922) Prec@5 83.125 (84.468) Epoch: [78][9900/11272] Time 0.752 (0.778) Data 0.002 (0.002) Loss 1.6871 (1.6404) Prec@1 55.000 (55.921) Prec@5 83.750 (84.468) Epoch: [78][9910/11272] Time 0.829 (0.778) Data 0.001 (0.002) Loss 1.6509 (1.6405) Prec@1 58.750 (55.919) Prec@5 83.125 (84.465) Epoch: [78][9920/11272] Time 0.836 (0.778) Data 0.002 (0.002) Loss 1.6309 (1.6405) Prec@1 53.125 (55.920) Prec@5 85.000 (84.466) Epoch: [78][9930/11272] Time 0.735 (0.778) Data 0.002 (0.002) Loss 1.8275 (1.6405) Prec@1 50.625 (55.920) Prec@5 83.750 (84.466) Epoch: [78][9940/11272] Time 0.722 (0.778) Data 0.001 (0.002) Loss 1.4805 (1.6404) Prec@1 57.500 (55.922) Prec@5 86.250 (84.467) Epoch: [78][9950/11272] Time 0.895 (0.778) Data 0.001 (0.002) Loss 1.8759 (1.6404) Prec@1 55.625 (55.922) Prec@5 77.500 (84.467) Epoch: [78][9960/11272] Time 0.798 (0.778) Data 0.002 (0.002) Loss 1.4197 (1.6404) Prec@1 61.250 (55.923) Prec@5 87.500 (84.468) Epoch: [78][9970/11272] Time 0.684 (0.778) Data 0.001 (0.002) Loss 1.6383 (1.6404) Prec@1 58.125 (55.923) Prec@5 85.000 (84.469) Epoch: [78][9980/11272] Time 0.702 (0.778) Data 0.001 (0.002) Loss 1.9012 (1.6405) Prec@1 51.250 (55.921) Prec@5 82.500 (84.469) Epoch: [78][9990/11272] Time 0.841 (0.778) Data 0.001 (0.002) Loss 1.4639 (1.6404) Prec@1 60.625 (55.922) Prec@5 89.375 (84.469) Epoch: [78][10000/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.7028 (1.6405) Prec@1 48.750 (55.920) Prec@5 86.250 (84.469) Epoch: [78][10010/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.6110 (1.6405) Prec@1 57.500 (55.922) Prec@5 83.750 (84.469) Epoch: [78][10020/11272] Time 0.839 (0.778) Data 0.002 (0.002) Loss 1.6895 (1.6404) Prec@1 56.250 (55.923) Prec@5 85.000 (84.469) Epoch: [78][10030/11272] Time 0.850 (0.778) Data 0.002 (0.002) Loss 1.4793 (1.6405) Prec@1 61.875 (55.921) Prec@5 88.750 (84.468) Epoch: [78][10040/11272] Time 0.698 (0.778) Data 0.001 (0.002) Loss 1.4473 (1.6405) Prec@1 61.875 (55.921) Prec@5 88.125 (84.469) Epoch: [78][10050/11272] Time 0.756 (0.778) Data 0.001 (0.002) Loss 1.6845 (1.6405) Prec@1 56.250 (55.920) Prec@5 85.000 (84.467) Epoch: [78][10060/11272] Time 0.850 (0.778) Data 0.002 (0.002) Loss 1.7170 (1.6405) Prec@1 53.750 (55.919) Prec@5 83.750 (84.467) Epoch: [78][10070/11272] Time 0.806 (0.778) Data 0.002 (0.002) Loss 1.6778 (1.6405) Prec@1 58.750 (55.921) Prec@5 81.250 (84.467) Epoch: [78][10080/11272] Time 0.717 (0.778) Data 0.001 (0.002) Loss 1.9269 (1.6406) Prec@1 51.250 (55.919) Prec@5 78.750 (84.467) Epoch: [78][10090/11272] Time 0.724 (0.778) Data 0.002 (0.002) Loss 1.4807 (1.6405) Prec@1 58.750 (55.921) Prec@5 86.875 (84.468) Epoch: [78][10100/11272] Time 0.801 (0.778) Data 0.002 (0.002) Loss 1.5126 (1.6406) Prec@1 60.000 (55.920) Prec@5 86.250 (84.467) Epoch: [78][10110/11272] Time 0.816 (0.778) Data 0.002 (0.002) Loss 1.4629 (1.6406) Prec@1 57.500 (55.920) Prec@5 86.875 (84.466) Epoch: [78][10120/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.8129 (1.6407) Prec@1 50.000 (55.919) Prec@5 81.875 (84.465) Epoch: [78][10130/11272] Time 0.837 (0.778) Data 0.001 (0.002) Loss 1.7671 (1.6407) Prec@1 54.375 (55.919) Prec@5 85.000 (84.464) Epoch: [78][10140/11272] Time 0.872 (0.778) Data 0.002 (0.002) Loss 1.6173 (1.6407) Prec@1 55.000 (55.919) Prec@5 81.875 (84.463) Epoch: [78][10150/11272] Time 0.730 (0.778) Data 0.002 (0.002) Loss 1.8424 (1.6407) Prec@1 52.500 (55.919) Prec@5 76.250 (84.462) Epoch: [78][10160/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.6305 (1.6407) Prec@1 55.625 (55.920) Prec@5 84.375 (84.462) Epoch: [78][10170/11272] Time 0.869 (0.778) Data 0.002 (0.002) Loss 1.5477 (1.6407) Prec@1 59.375 (55.921) Prec@5 84.375 (84.462) Epoch: [78][10180/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.5807 (1.6407) Prec@1 60.000 (55.920) Prec@5 86.250 (84.461) Epoch: [78][10190/11272] Time 0.730 (0.778) Data 0.002 (0.002) Loss 1.6051 (1.6407) Prec@1 55.625 (55.920) Prec@5 85.000 (84.461) Epoch: [78][10200/11272] Time 0.732 (0.778) Data 0.002 (0.002) Loss 1.5643 (1.6408) Prec@1 60.625 (55.919) Prec@5 86.250 (84.461) Epoch: [78][10210/11272] Time 0.818 (0.778) Data 0.001 (0.002) Loss 1.5500 (1.6408) Prec@1 55.000 (55.917) Prec@5 87.500 (84.460) Epoch: [78][10220/11272] Time 0.850 (0.778) Data 0.002 (0.002) Loss 1.5107 (1.6408) Prec@1 55.000 (55.919) Prec@5 85.000 (84.461) Epoch: [78][10230/11272] Time 0.747 (0.778) Data 0.002 (0.002) Loss 1.5685 (1.6408) Prec@1 55.625 (55.920) Prec@5 88.125 (84.461) Epoch: [78][10240/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.6917 (1.6408) Prec@1 56.250 (55.918) Prec@5 86.875 (84.461) Epoch: [78][10250/11272] Time 0.831 (0.778) Data 0.002 (0.002) Loss 1.4889 (1.6407) Prec@1 58.750 (55.919) Prec@5 90.000 (84.462) Epoch: [78][10260/11272] Time 0.704 (0.778) Data 0.003 (0.002) Loss 1.7022 (1.6408) Prec@1 53.750 (55.917) Prec@5 81.250 (84.459) Epoch: [78][10270/11272] Time 0.714 (0.778) Data 0.002 (0.002) Loss 1.6193 (1.6409) Prec@1 59.375 (55.916) Prec@5 81.875 (84.457) Epoch: [78][10280/11272] Time 0.831 (0.778) Data 0.001 (0.002) Loss 1.6997 (1.6409) Prec@1 53.125 (55.916) Prec@5 80.625 (84.457) Epoch: [78][10290/11272] Time 0.830 (0.778) Data 0.002 (0.002) Loss 1.9014 (1.6409) Prec@1 50.000 (55.916) Prec@5 81.250 (84.458) Epoch: [78][10300/11272] Time 0.744 (0.778) Data 0.002 (0.002) Loss 1.5510 (1.6409) Prec@1 51.250 (55.916) Prec@5 87.500 (84.458) Epoch: [78][10310/11272] Time 0.725 (0.778) Data 0.002 (0.002) Loss 1.4232 (1.6409) Prec@1 64.375 (55.917) Prec@5 89.375 (84.458) Epoch: [78][10320/11272] Time 0.846 (0.778) Data 0.001 (0.002) Loss 1.8626 (1.6409) Prec@1 50.625 (55.918) Prec@5 79.375 (84.459) Epoch: [78][10330/11272] Time 0.829 (0.778) Data 0.002 (0.002) Loss 1.7969 (1.6408) Prec@1 55.000 (55.919) Prec@5 81.875 (84.459) Epoch: [78][10340/11272] Time 0.739 (0.778) Data 0.002 (0.002) Loss 1.4997 (1.6408) Prec@1 60.000 (55.919) Prec@5 86.875 (84.459) Epoch: [78][10350/11272] Time 0.726 (0.778) Data 0.001 (0.002) Loss 1.5103 (1.6408) Prec@1 57.500 (55.920) Prec@5 83.750 (84.459) Epoch: [78][10360/11272] Time 0.845 (0.778) Data 0.002 (0.002) Loss 1.4774 (1.6408) Prec@1 58.125 (55.919) Prec@5 86.875 (84.459) Epoch: [78][10370/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.6074 (1.6408) Prec@1 57.500 (55.920) Prec@5 84.375 (84.459) Epoch: [78][10380/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 2.0193 (1.6408) Prec@1 48.125 (55.918) Prec@5 77.500 (84.458) Epoch: [78][10390/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.6951 (1.6408) Prec@1 54.375 (55.918) Prec@5 83.750 (84.459) Epoch: [78][10400/11272] Time 0.863 (0.778) Data 0.002 (0.002) Loss 1.4501 (1.6408) Prec@1 59.375 (55.918) Prec@5 86.875 (84.459) Epoch: [78][10410/11272] Time 0.735 (0.778) Data 0.001 (0.002) Loss 1.5779 (1.6408) Prec@1 51.250 (55.916) Prec@5 86.250 (84.458) Epoch: [78][10420/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.8840 (1.6408) Prec@1 52.500 (55.915) Prec@5 80.000 (84.457) Epoch: [78][10430/11272] Time 0.834 (0.778) Data 0.002 (0.002) Loss 1.6198 (1.6408) Prec@1 53.750 (55.916) Prec@5 84.375 (84.458) Epoch: [78][10440/11272] Time 0.848 (0.778) Data 0.001 (0.002) Loss 1.5884 (1.6408) Prec@1 57.500 (55.917) Prec@5 85.000 (84.458) Epoch: [78][10450/11272] Time 0.706 (0.778) Data 0.002 (0.002) Loss 1.6593 (1.6409) Prec@1 58.750 (55.917) Prec@5 83.125 (84.456) Epoch: [78][10460/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.6659 (1.6408) Prec@1 58.750 (55.918) Prec@5 85.000 (84.456) Epoch: [78][10470/11272] Time 0.835 (0.778) Data 0.002 (0.002) Loss 1.4126 (1.6408) Prec@1 63.125 (55.919) Prec@5 88.750 (84.456) Epoch: [78][10480/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.6114 (1.6408) Prec@1 53.750 (55.918) Prec@5 87.500 (84.456) Epoch: [78][10490/11272] Time 0.721 (0.778) Data 0.002 (0.002) Loss 1.5480 (1.6409) Prec@1 59.375 (55.917) Prec@5 88.125 (84.456) Epoch: [78][10500/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.3676 (1.6408) Prec@1 63.750 (55.917) Prec@5 88.750 (84.457) Epoch: [78][10510/11272] Time 0.872 (0.778) Data 0.002 (0.002) Loss 1.6894 (1.6409) Prec@1 51.250 (55.915) Prec@5 80.625 (84.455) Epoch: [78][10520/11272] Time 0.708 (0.778) Data 0.003 (0.002) Loss 1.6788 (1.6409) Prec@1 53.750 (55.914) Prec@5 86.250 (84.456) Epoch: [78][10530/11272] Time 0.717 (0.778) Data 0.002 (0.002) Loss 1.6211 (1.6410) Prec@1 50.625 (55.911) Prec@5 87.500 (84.456) Epoch: [78][10540/11272] Time 0.838 (0.778) Data 0.001 (0.002) Loss 1.5780 (1.6410) Prec@1 60.625 (55.910) Prec@5 89.375 (84.455) Epoch: [78][10550/11272] Time 0.871 (0.778) Data 0.002 (0.002) Loss 1.5668 (1.6411) Prec@1 57.500 (55.910) Prec@5 86.250 (84.454) Epoch: [78][10560/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.7977 (1.6411) Prec@1 48.750 (55.909) Prec@5 81.875 (84.454) Epoch: [78][10570/11272] Time 0.741 (0.778) Data 0.002 (0.002) Loss 1.6498 (1.6411) Prec@1 56.875 (55.909) Prec@5 87.500 (84.453) Epoch: [78][10580/11272] Time 0.833 (0.778) Data 0.001 (0.002) Loss 1.6403 (1.6411) Prec@1 59.375 (55.908) Prec@5 86.250 (84.454) Epoch: [78][10590/11272] Time 0.826 (0.778) Data 0.002 (0.002) Loss 1.6469 (1.6411) Prec@1 58.125 (55.909) Prec@5 83.750 (84.454) Epoch: [78][10600/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.9749 (1.6412) Prec@1 51.875 (55.908) Prec@5 75.625 (84.453) Epoch: [78][10610/11272] Time 0.716 (0.778) Data 0.001 (0.002) Loss 1.7543 (1.6412) Prec@1 51.875 (55.906) Prec@5 86.875 (84.451) Epoch: [78][10620/11272] Time 0.829 (0.778) Data 0.001 (0.002) Loss 1.5443 (1.6412) Prec@1 56.250 (55.907) Prec@5 83.125 (84.453) Epoch: [78][10630/11272] Time 0.873 (0.778) Data 0.002 (0.002) Loss 1.6726 (1.6412) Prec@1 53.125 (55.905) Prec@5 85.625 (84.452) Epoch: [78][10640/11272] Time 0.731 (0.778) Data 0.002 (0.002) Loss 1.5835 (1.6413) Prec@1 57.500 (55.905) Prec@5 88.750 (84.452) Epoch: [78][10650/11272] Time 0.794 (0.778) Data 0.002 (0.002) Loss 1.7502 (1.6412) Prec@1 56.875 (55.906) Prec@5 83.750 (84.453) Epoch: [78][10660/11272] Time 0.866 (0.778) Data 0.002 (0.002) Loss 1.6440 (1.6412) Prec@1 56.875 (55.906) Prec@5 84.375 (84.452) Epoch: [78][10670/11272] Time 0.730 (0.778) Data 0.001 (0.002) Loss 1.5503 (1.6412) Prec@1 57.500 (55.906) Prec@5 85.625 (84.452) Epoch: [78][10680/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.4184 (1.6412) Prec@1 62.500 (55.909) Prec@5 85.000 (84.452) Epoch: [78][10690/11272] Time 0.872 (0.778) Data 0.002 (0.002) Loss 1.5541 (1.6411) Prec@1 58.125 (55.909) Prec@5 85.625 (84.454) Epoch: [78][10700/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.5484 (1.6411) Prec@1 58.125 (55.909) Prec@5 85.625 (84.454) Epoch: [78][10710/11272] Time 0.711 (0.778) Data 0.001 (0.002) Loss 1.6251 (1.6411) Prec@1 54.375 (55.908) Prec@5 82.500 (84.452) Epoch: [78][10720/11272] Time 0.714 (0.778) Data 0.001 (0.002) Loss 1.6292 (1.6412) Prec@1 55.000 (55.907) Prec@5 88.750 (84.452) Epoch: [78][10730/11272] Time 0.841 (0.778) Data 0.002 (0.002) Loss 1.7147 (1.6412) Prec@1 53.125 (55.908) Prec@5 82.500 (84.453) Epoch: [78][10740/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.5816 (1.6412) Prec@1 61.250 (55.907) Prec@5 85.000 (84.453) Epoch: [78][10750/11272] Time 0.708 (0.778) Data 0.002 (0.002) Loss 1.4279 (1.6412) Prec@1 57.500 (55.907) Prec@5 89.375 (84.453) Epoch: [78][10760/11272] Time 0.710 (0.778) Data 0.002 (0.002) Loss 1.7896 (1.6411) Prec@1 46.875 (55.907) Prec@5 80.000 (84.454) Epoch: [78][10770/11272] Time 0.817 (0.778) Data 0.002 (0.002) Loss 1.6309 (1.6412) Prec@1 53.750 (55.905) Prec@5 85.000 (84.453) Epoch: [78][10780/11272] Time 0.820 (0.778) Data 0.002 (0.002) Loss 1.6489 (1.6412) Prec@1 55.000 (55.903) Prec@5 84.375 (84.453) Epoch: [78][10790/11272] Time 0.722 (0.778) Data 0.002 (0.002) Loss 1.7236 (1.6413) Prec@1 54.375 (55.903) Prec@5 80.000 (84.452) Epoch: [78][10800/11272] Time 0.808 (0.778) Data 0.002 (0.002) Loss 1.6722 (1.6413) Prec@1 55.000 (55.903) Prec@5 89.375 (84.452) Epoch: [78][10810/11272] Time 0.812 (0.778) Data 0.001 (0.002) Loss 1.6359 (1.6413) Prec@1 55.625 (55.904) Prec@5 84.375 (84.452) Epoch: [78][10820/11272] Time 0.708 (0.778) Data 0.001 (0.002) Loss 1.7730 (1.6413) Prec@1 52.500 (55.902) Prec@5 82.500 (84.451) Epoch: [78][10830/11272] Time 0.704 (0.778) Data 0.002 (0.002) Loss 1.7210 (1.6413) Prec@1 52.500 (55.902) Prec@5 83.125 (84.451) Epoch: [78][10840/11272] Time 0.850 (0.778) Data 0.002 (0.002) Loss 1.4816 (1.6413) Prec@1 60.625 (55.901) Prec@5 86.250 (84.451) Epoch: [78][10850/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.6181 (1.6413) Prec@1 50.000 (55.900) Prec@5 83.750 (84.451) Epoch: [78][10860/11272] Time 0.720 (0.778) Data 0.002 (0.002) Loss 1.7008 (1.6414) Prec@1 57.500 (55.899) Prec@5 85.625 (84.450) Epoch: [78][10870/11272] Time 0.756 (0.778) Data 0.001 (0.002) Loss 1.7108 (1.6415) Prec@1 54.375 (55.899) Prec@5 83.750 (84.449) Epoch: [78][10880/11272] Time 0.864 (0.778) Data 0.002 (0.002) Loss 1.4984 (1.6415) Prec@1 62.500 (55.899) Prec@5 84.375 (84.449) Epoch: [78][10890/11272] Time 0.840 (0.778) Data 0.002 (0.002) Loss 1.5367 (1.6415) Prec@1 51.875 (55.899) Prec@5 88.750 (84.449) Epoch: [78][10900/11272] Time 0.742 (0.778) Data 0.002 (0.002) Loss 1.4631 (1.6415) Prec@1 61.875 (55.899) Prec@5 84.375 (84.449) Epoch: [78][10910/11272] Time 0.721 (0.778) Data 0.002 (0.002) Loss 1.6713 (1.6414) Prec@1 58.750 (55.901) Prec@5 85.625 (84.451) Epoch: [78][10920/11272] Time 0.871 (0.778) Data 0.002 (0.002) Loss 1.6688 (1.6414) Prec@1 50.625 (55.900) Prec@5 82.500 (84.450) Epoch: [78][10930/11272] Time 0.756 (0.778) Data 0.002 (0.002) Loss 1.6034 (1.6414) Prec@1 58.125 (55.900) Prec@5 85.625 (84.450) Epoch: [78][10940/11272] Time 0.754 (0.778) Data 0.002 (0.002) Loss 1.8292 (1.6415) Prec@1 50.625 (55.898) Prec@5 81.875 (84.450) Epoch: [78][10950/11272] Time 0.835 (0.778) Data 0.001 (0.002) Loss 1.8056 (1.6415) Prec@1 53.750 (55.898) Prec@5 81.875 (84.449) Epoch: [78][10960/11272] Time 0.836 (0.778) Data 0.002 (0.002) Loss 1.7795 (1.6416) Prec@1 55.000 (55.896) Prec@5 81.250 (84.448) Epoch: [78][10970/11272] Time 0.705 (0.778) Data 0.001 (0.002) Loss 1.5689 (1.6416) Prec@1 58.125 (55.896) Prec@5 82.500 (84.448) Epoch: [78][10980/11272] Time 0.742 (0.778) Data 0.001 (0.002) Loss 1.6762 (1.6416) Prec@1 53.750 (55.894) Prec@5 81.250 (84.448) Epoch: [78][10990/11272] Time 0.831 (0.778) Data 0.002 (0.002) Loss 1.9288 (1.6417) Prec@1 50.625 (55.893) Prec@5 75.625 (84.445) Epoch: [78][11000/11272] Time 0.824 (0.778) Data 0.002 (0.002) Loss 1.8836 (1.6416) Prec@1 53.750 (55.894) Prec@5 77.500 (84.445) Epoch: [78][11010/11272] Time 0.726 (0.778) Data 0.001 (0.002) Loss 1.5244 (1.6416) Prec@1 57.500 (55.895) Prec@5 86.875 (84.445) Epoch: [78][11020/11272] Time 0.709 (0.778) Data 0.001 (0.002) Loss 1.5976 (1.6415) Prec@1 54.375 (55.897) Prec@5 85.000 (84.447) Epoch: [78][11030/11272] Time 0.844 (0.778) Data 0.002 (0.002) Loss 1.7691 (1.6416) Prec@1 53.125 (55.896) Prec@5 80.625 (84.445) Epoch: [78][11040/11272] Time 0.851 (0.778) Data 0.002 (0.002) Loss 1.5952 (1.6416) Prec@1 60.625 (55.897) Prec@5 86.875 (84.445) Epoch: [78][11050/11272] Time 0.773 (0.778) Data 0.002 (0.002) Loss 1.6938 (1.6416) Prec@1 56.250 (55.897) Prec@5 80.000 (84.443) Epoch: [78][11060/11272] Time 0.817 (0.778) Data 0.002 (0.002) Loss 1.4187 (1.6416) Prec@1 60.000 (55.896) Prec@5 86.875 (84.444) Epoch: [78][11070/11272] Time 0.841 (0.778) Data 0.001 (0.002) Loss 1.5900 (1.6417) Prec@1 61.250 (55.895) Prec@5 86.250 (84.444) Epoch: [78][11080/11272] Time 0.747 (0.778) Data 0.001 (0.002) Loss 1.7344 (1.6417) Prec@1 49.375 (55.894) Prec@5 81.875 (84.443) Epoch: [78][11090/11272] Time 0.772 (0.778) Data 0.002 (0.002) Loss 1.5468 (1.6418) Prec@1 63.125 (55.892) Prec@5 85.625 (84.443) Epoch: [78][11100/11272] Time 0.825 (0.778) Data 0.001 (0.002) Loss 1.6364 (1.6417) Prec@1 60.625 (55.893) Prec@5 85.625 (84.444) Epoch: [78][11110/11272] Time 0.827 (0.778) Data 0.001 (0.002) Loss 1.6114 (1.6418) Prec@1 56.250 (55.891) Prec@5 85.000 (84.444) Epoch: [78][11120/11272] Time 0.747 (0.778) Data 0.002 (0.002) Loss 1.6077 (1.6418) Prec@1 54.375 (55.891) Prec@5 84.375 (84.444) Epoch: [78][11130/11272] Time 0.740 (0.778) Data 0.002 (0.002) Loss 1.8580 (1.6417) Prec@1 46.875 (55.891) Prec@5 81.875 (84.443) Epoch: [78][11140/11272] Time 0.842 (0.778) Data 0.002 (0.002) Loss 1.9459 (1.6418) Prec@1 50.000 (55.890) Prec@5 78.125 (84.443) Epoch: [78][11150/11272] Time 0.792 (0.778) Data 0.001 (0.002) Loss 1.4725 (1.6418) Prec@1 57.500 (55.889) Prec@5 86.250 (84.442) Epoch: [78][11160/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.7492 (1.6418) Prec@1 53.750 (55.889) Prec@5 81.250 (84.442) Epoch: [78][11170/11272] Time 0.719 (0.778) Data 0.002 (0.002) Loss 1.5074 (1.6418) Prec@1 58.750 (55.888) Prec@5 90.625 (84.442) Epoch: [78][11180/11272] Time 0.796 (0.778) Data 0.001 (0.002) Loss 1.4818 (1.6418) Prec@1 56.875 (55.887) Prec@5 86.875 (84.443) Epoch: [78][11190/11272] Time 0.707 (0.778) Data 0.003 (0.002) Loss 1.5361 (1.6418) Prec@1 60.000 (55.889) Prec@5 88.750 (84.443) Epoch: [78][11200/11272] Time 0.723 (0.778) Data 0.002 (0.002) Loss 1.4365 (1.6418) Prec@1 57.500 (55.888) Prec@5 88.750 (84.443) Epoch: [78][11210/11272] Time 0.833 (0.778) Data 0.002 (0.002) Loss 1.3999 (1.6417) Prec@1 58.125 (55.889) Prec@5 91.250 (84.444) Epoch: [78][11220/11272] Time 0.827 (0.778) Data 0.002 (0.002) Loss 1.3507 (1.6417) Prec@1 60.625 (55.889) Prec@5 90.000 (84.443) Epoch: [78][11230/11272] Time 0.733 (0.778) Data 0.002 (0.002) Loss 1.4793 (1.6417) Prec@1 56.250 (55.888) Prec@5 85.000 (84.444) Epoch: [78][11240/11272] Time 0.688 (0.778) Data 0.001 (0.002) Loss 1.6751 (1.6417) Prec@1 55.000 (55.887) Prec@5 86.875 (84.444) Epoch: [78][11250/11272] Time 0.829 (0.778) Data 0.001 (0.002) Loss 1.6597 (1.6417) Prec@1 55.000 (55.885) Prec@5 82.500 (84.444) Epoch: [78][11260/11272] Time 0.814 (0.778) Data 0.002 (0.002) Loss 1.6934 (1.6418) Prec@1 58.125 (55.884) Prec@5 83.750 (84.443) Epoch: [78][11270/11272] Time 0.706 (0.778) Data 0.000 (0.002) Loss 1.7828 (1.6418) Prec@1 56.250 (55.883) Prec@5 85.000 (84.443) Test: [0/229] Time 3.143 (3.143) Loss 1.0620 (1.0620) Prec@1 66.875 (66.875) Prec@5 95.000 (95.000) Test: [10/229] Time 0.412 (0.780) Loss 1.0698 (1.5919) Prec@1 65.000 (56.364) Prec@5 96.875 (86.761) Test: [20/229] Time 1.142 (0.696) Loss 2.0991 (1.6763) Prec@1 46.875 (53.958) Prec@5 79.375 (85.893) Test: [30/229] Time 0.380 (0.640) Loss 1.7697 (1.6048) Prec@1 48.750 (56.431) Prec@5 89.375 (86.633) Test: [40/229] Time 1.248 (0.636) Loss 0.3667 (1.6044) Prec@1 91.875 (56.524) Prec@5 96.250 (86.463) Test: [50/229] Time 0.352 (0.613) Loss 2.4005 (1.6578) Prec@1 34.375 (55.515) Prec@5 78.125 (85.478) Test: [60/229] Time 1.080 (0.613) Loss 2.1322 (1.6481) Prec@1 36.250 (55.666) Prec@5 84.375 (85.645) Test: [70/229] Time 0.359 (0.600) Loss 1.3399 (1.6625) Prec@1 68.125 (55.405) Prec@5 85.625 (85.537) Test: [80/229] Time 1.156 (0.603) Loss 2.0766 (1.6832) Prec@1 40.625 (54.552) Prec@5 85.000 (85.556) Test: [90/229] Time 0.519 (0.598) Loss 1.2520 (1.6888) Prec@1 71.875 (54.526) Prec@5 86.875 (85.495) Test: [100/229] Time 1.027 (0.599) Loss 2.1607 (1.6863) Prec@1 49.375 (54.802) Prec@5 81.250 (85.538) Test: [110/229] Time 0.592 (0.596) Loss 1.4323 (1.6666) Prec@1 63.125 (55.236) Prec@5 87.500 (85.805) Test: [120/229] Time 0.944 (0.596) Loss 2.8253 (1.6869) Prec@1 30.625 (54.649) Prec@5 72.500 (85.511) Test: [130/229] Time 0.449 (0.593) Loss 1.1078 (1.6689) Prec@1 63.750 (55.033) Prec@5 93.125 (85.658) Test: [140/229] Time 0.894 (0.593) Loss 1.8159 (1.6803) Prec@1 51.250 (54.712) Prec@5 80.625 (85.550) Test: [150/229] Time 0.451 (0.591) Loss 1.0822 (1.6958) Prec@1 75.625 (54.350) Prec@5 88.125 (85.306) Test: [160/229] Time 1.040 (0.592) Loss 1.7252 (1.6965) Prec@1 60.625 (54.262) Prec@5 84.375 (85.272) Test: [170/229] Time 0.347 (0.590) Loss 1.8191 (1.7062) Prec@1 49.375 (54.006) Prec@5 85.625 (85.179) Test: [180/229] Time 1.043 (0.592) Loss 2.4410 (1.7160) Prec@1 32.500 (53.940) Prec@5 71.875 (84.948) Test: [190/229] Time 0.357 (0.591) Loss 1.3470 (1.7044) Prec@1 60.625 (54.254) Prec@5 92.500 (85.049) Test: [200/229] Time 0.993 (0.590) Loss 1.5985 (1.6952) Prec@1 52.500 (54.363) Prec@5 83.750 (85.243) Test: [210/229] Time 0.309 (0.590) Loss 1.0728 (1.6836) Prec@1 71.250 (54.683) Prec@5 94.375 (85.361) Test: [220/229] Time 0.794 (0.590) Loss 1.5109 (1.6749) Prec@1 58.125 (55.023) Prec@5 87.500 (85.410) * Prec@1 55.348 Prec@5 85.511 Epoch: [79][0/11272] Time 4.528 (4.528) Data 3.683 (3.683) Loss 1.7342 (1.7342) Prec@1 55.000 (55.000) Prec@5 82.500 (82.500) Epoch: [79][10/11272] Time 0.701 (1.105) Data 0.001 (0.336) Loss 1.5659 (1.5705) Prec@1 56.250 (57.216) Prec@5 86.875 (84.943) Epoch: [79][20/11272] Time 0.821 (0.951) Data 0.002 (0.177) Loss 1.4609 (1.6199) Prec@1 58.750 (55.982) Prec@5 85.625 (84.464) Epoch: [79][30/11272] Time 0.837 (0.890) Data 0.002 (0.120) Loss 1.5591 (1.5992) Prec@1 58.750 (56.613) Prec@5 86.875 (84.859) Epoch: [79][40/11272] Time 0.730 (0.859) Data 0.002 (0.091) Loss 1.6565 (1.5923) Prec@1 55.625 (56.860) Prec@5 82.500 (84.985) Epoch: [79][50/11272] Time 0.708 (0.840) Data 0.002 (0.074) Loss 1.6854 (1.5957) Prec@1 55.625 (56.630) Prec@5 82.500 (84.975) Epoch: [79][60/11272] Time 0.844 (0.827) Data 0.002 (0.062) Loss 1.4933 (1.6002) Prec@1 59.375 (56.383) Prec@5 85.000 (84.887) Epoch: [79][70/11272] Time 0.823 (0.819) Data 0.002 (0.053) Loss 1.7577 (1.6113) Prec@1 52.500 (56.303) Prec@5 80.000 (84.727) Epoch: [79][80/11272] Time 0.717 (0.812) Data 0.002 (0.047) Loss 1.8348 (1.6142) Prec@1 53.125 (56.319) Prec@5 78.125 (84.745) Epoch: [79][90/11272] Time 0.726 (0.807) Data 0.001 (0.042) Loss 1.9104 (1.6245) Prec@1 53.125 (56.209) Prec@5 78.125 (84.567) Epoch: [79][100/11272] Time 0.817 (0.805) Data 0.002 (0.038) Loss 1.6472 (1.6243) Prec@1 54.375 (56.225) Prec@5 82.500 (84.561) Epoch: [79][110/11272] Time 0.834 (0.800) Data 0.002 (0.035) Loss 1.5795 (1.6223) Prec@1 59.375 (56.396) Prec@5 85.000 (84.561) Epoch: [79][120/11272] Time 0.721 (0.798) Data 0.002 (0.032) Loss 1.5596 (1.6164) Prec@1 55.000 (56.400) Prec@5 90.000 (84.783) Epoch: [79][130/11272] Time 0.804 (0.796) Data 0.001 (0.030) Loss 1.6291 (1.6218) Prec@1 57.500 (56.355) Prec@5 86.250 (84.766) Epoch: [79][140/11272] Time 0.809 (0.795) Data 0.002 (0.028) Loss 1.5959 (1.6188) Prec@1 55.625 (56.387) Prec@5 85.000 (84.876) Epoch: [79][150/11272] Time 0.707 (0.793) Data 0.001 (0.026) Loss 1.6414 (1.6196) Prec@1 50.000 (56.403) Prec@5 86.875 (84.921) Epoch: [79][160/11272] Time 0.692 (0.792) Data 0.001 (0.024) Loss 1.4012 (1.6196) Prec@1 61.875 (56.436) Prec@5 89.375 (84.899) Epoch: [79][170/11272] Time 0.824 (0.790) Data 0.001 (0.023) Loss 1.8226 (1.6174) Prec@1 56.250 (56.488) Prec@5 82.500 (84.974) Epoch: [79][180/11272] Time 0.808 (0.789) Data 0.001 (0.022) Loss 1.5065 (1.6143) Prec@1 59.375 (56.502) Prec@5 85.000 (85.024) Epoch: [79][190/11272] Time 0.704 (0.788) Data 0.002 (0.021) Loss 1.8671 (1.6126) Prec@1 49.375 (56.476) Prec@5 80.625 (85.029) Epoch: [79][200/11272] Time 0.743 (0.788) Data 0.002 (0.020) Loss 1.5813 (1.6095) Prec@1 57.500 (56.589) Prec@5 83.750 (85.034) Epoch: [79][210/11272] Time 0.818 (0.787) Data 0.001 (0.019) Loss 1.5046 (1.6095) Prec@1 58.750 (56.591) Prec@5 89.375 (85.027) Epoch: [79][220/11272] Time 0.841 (0.786) Data 0.001 (0.018) Loss 1.7524 (1.6099) Prec@1 54.375 (56.555) Prec@5 79.375 (84.994) Epoch: [79][230/11272] Time 0.739 (0.786) Data 0.002 (0.018) Loss 1.8700 (1.6126) Prec@1 50.625 (56.450) Prec@5 83.125 (85.003) Epoch: [79][240/11272] Time 0.728 (0.785) Data 0.001 (0.017) Loss 1.4886 (1.6128) Prec@1 56.250 (56.426) Prec@5 88.750 (85.036) Epoch: [79][250/11272] Time 0.837 (0.785) Data 0.001 (0.016) Loss 1.6447 (1.6133) Prec@1 53.750 (56.472) Prec@5 85.000 (85.017) Epoch: [79][260/11272] Time 0.709 (0.784) Data 0.003 (0.016) Loss 1.6820 (1.6166) Prec@1 53.750 (56.315) Prec@5 83.125 (84.993) Epoch: [79][270/11272] Time 0.704 (0.783) Data 0.001 (0.015) Loss 1.6234 (1.6180) Prec@1 56.875 (56.292) Prec@5 81.250 (84.956) Epoch: [79][280/11272] Time 0.844 (0.783) Data 0.001 (0.015) Loss 1.6385 (1.6191) Prec@1 56.875 (56.237) Prec@5 82.500 (84.962) Epoch: [79][290/11272] Time 0.817 (0.783) Data 0.002 (0.014) Loss 1.3661 (1.6189) Prec@1 62.500 (56.289) Prec@5 86.250 (84.955) Epoch: [79][300/11272] Time 0.722 (0.783) Data 0.002 (0.014) Loss 1.7793 (1.6188) Prec@1 48.750 (56.250) Prec@5 83.750 (84.934) Epoch: [79][310/11272] Time 0.705 (0.782) Data 0.001 (0.013) Loss 1.5083 (1.6174) Prec@1 54.375 (56.318) Prec@5 86.250 (84.936) Epoch: [79][320/11272] Time 0.832 (0.782) Data 0.002 (0.013) Loss 1.5844 (1.6184) Prec@1 62.500 (56.303) Prec@5 84.375 (84.914) Epoch: [79][330/11272] Time 0.809 (0.782) Data 0.001 (0.013) Loss 1.6995 (1.6193) Prec@1 53.750 (56.312) Prec@5 84.375 (84.879) Epoch: [79][340/11272] Time 0.731 (0.782) Data 0.002 (0.012) Loss 1.7505 (1.6189) Prec@1 50.000 (56.316) Prec@5 85.000 (84.892) Epoch: [79][350/11272] Time 0.741 (0.781) Data 0.002 (0.012) Loss 1.7399 (1.6200) Prec@1 53.125 (56.275) Prec@5 81.875 (84.870) Epoch: [79][360/11272] Time 0.782 (0.781) Data 0.002 (0.012) Loss 1.7239 (1.6216) Prec@1 50.000 (56.269) Prec@5 86.875 (84.849) Epoch: [79][370/11272] Time 0.804 (0.781) Data 0.002 (0.011) Loss 1.3526 (1.6203) Prec@1 61.250 (56.267) Prec@5 88.750 (84.887) Epoch: [79][380/11272] Time 0.767 (0.781) Data 0.002 (0.011) Loss 1.4951 (1.6204) Prec@1 54.375 (56.229) Prec@5 89.375 (84.910) Epoch: [79][390/11272] Time 0.807 (0.781) Data 0.002 (0.011) Loss 1.3250 (1.6196) Prec@1 67.500 (56.266) Prec@5 89.375 (84.925) Epoch: [79][400/11272] Time 0.850 (0.781) Data 0.002 (0.011) Loss 1.6556 (1.6195) Prec@1 56.250 (56.242) Prec@5 81.250 (84.906) Epoch: [79][410/11272] Time 0.724 (0.781) Data 0.001 (0.011) Loss 1.6079 (1.6183) Prec@1 54.375 (56.274) Prec@5 86.250 (84.939) Epoch: [79][420/11272] Time 0.730 (0.781) Data 0.002 (0.010) Loss 1.7481 (1.6198) Prec@1 51.875 (56.205) Prec@5 83.750 (84.929) Epoch: [79][430/11272] Time 0.826 (0.780) Data 0.001 (0.010) Loss 1.5371 (1.6196) Prec@1 58.750 (56.208) Prec@5 86.250 (84.941) Epoch: [79][440/11272] Time 0.838 (0.780) Data 0.001 (0.010) Loss 1.5684 (1.6192) Prec@1 53.750 (56.186) Prec@5 89.375 (84.943) Epoch: [79][450/11272] Time 0.735 (0.780) Data 0.002 (0.010) Loss 1.5790 (1.6188) Prec@1 57.500 (56.188) Prec@5 86.250 (84.956) Epoch: [79][460/11272] Time 0.715 (0.780) Data 0.001 (0.010) Loss 1.3882 (1.6186) Prec@1 61.250 (56.224) Prec@5 90.000 (84.942) Epoch: [79][470/11272] Time 0.782 (0.780) Data 0.001 (0.009) Loss 1.7395 (1.6201) Prec@1 56.250 (56.201) Prec@5 80.000 (84.904) Epoch: [79][480/11272] Time 0.826 (0.779) Data 0.002 (0.009) Loss 1.5759 (1.6201) Prec@1 55.000 (56.185) Prec@5 86.875 (84.906) Epoch: [79][490/11272] Time 0.718 (0.779) Data 0.002 (0.009) Loss 1.5126 (1.6199) Prec@1 58.750 (56.175) Prec@5 84.375 (84.901) Epoch: [79][500/11272] Time 0.710 (0.779) Data 0.001 (0.009) Loss 1.9425 (1.6196) Prec@1 51.250 (56.176) Prec@5 77.500 (84.936) Epoch: [79][510/11272] Time 0.817 (0.779) Data 0.001 (0.009) Loss 1.5287 (1.6197) Prec@1 58.750 (56.170) Prec@5 84.375 (84.923) Epoch: [79][520/11272] Time 0.718 (0.779) Data 0.003 (0.009) Loss 1.6376 (1.6191) Prec@1 51.875 (56.192) Prec@5 85.625 (84.942) Epoch: [79][530/11272] Time 0.730 (0.779) Data 0.001 (0.009) Loss 1.4975 (1.6191) Prec@1 57.500 (56.186) Prec@5 86.250 (84.926) Epoch: [79][540/11272] Time 0.839 (0.779) Data 0.002 (0.008) Loss 1.8018 (1.6199) Prec@1 52.500 (56.186) Prec@5 83.125 (84.904) Epoch: [79][550/11272] Time 0.808 (0.779) Data 0.002 (0.008) Loss 1.6187 (1.6199) Prec@1 55.625 (56.211) Prec@5 83.750 (84.891) Epoch: [79][560/11272] Time 0.735 (0.779) Data 0.002 (0.008) Loss 1.4495 (1.6190) Prec@1 60.625 (56.229) Prec@5 88.750 (84.908) Epoch: [79][570/11272] Time 0.699 (0.779) Data 0.002 (0.008) Loss 1.6847 (1.6195) Prec@1 50.625 (56.227) Prec@5 85.000 (84.899) Epoch: [79][580/11272] Time 0.877 (0.779) Data 0.001 (0.008) Loss 1.5008 (1.6205) Prec@1 59.375 (56.230) Prec@5 86.875 (84.886) Epoch: [79][590/11272] Time 0.788 (0.779) Data 0.001 (0.008) Loss 1.6830 (1.6216) Prec@1 56.250 (56.220) Prec@5 85.000 (84.871) Epoch: [79][600/11272] Time 0.718 (0.779) Data 0.001 (0.008) Loss 1.6041 (1.6223) Prec@1 59.375 (56.210) Prec@5 83.125 (84.876) Epoch: [79][610/11272] Time 0.735 (0.779) Data 0.001 (0.008) Loss 1.6325 (1.6223) Prec@1 55.000 (56.217) Prec@5 82.500 (84.861) Epoch: [79][620/11272] Time 0.839 (0.779) Data 0.002 (0.008) Loss 1.5880 (1.6212) Prec@1 55.000 (56.245) Prec@5 84.375 (84.856) Epoch: [79][630/11272] Time 0.878 (0.779) Data 0.002 (0.007) Loss 1.7337 (1.6209) Prec@1 51.250 (56.247) Prec@5 84.375 (84.871) Epoch: [79][640/11272] Time 0.703 (0.779) Data 0.001 (0.007) Loss 1.6449 (1.6212) Prec@1 57.500 (56.267) Prec@5 85.625 (84.864) Epoch: [79][650/11272] Time 0.831 (0.779) Data 0.001 (0.007) Loss 1.8055 (1.6209) Prec@1 53.125 (56.272) Prec@5 83.750 (84.874) Epoch: [79][660/11272] Time 0.809 (0.779) Data 0.002 (0.007) Loss 1.5752 (1.6209) Prec@1 57.500 (56.271) Prec@5 84.375 (84.868) Epoch: [79][670/11272] Time 0.714 (0.778) Data 0.002 (0.007) Loss 1.6221 (1.6206) Prec@1 56.875 (56.282) Prec@5 83.125 (84.866) Epoch: [79][680/11272] Time 0.706 (0.778) Data 0.001 (0.007) Loss 1.8522 (1.6207) Prec@1 53.125 (56.290) Prec@5 80.000 (84.860) Epoch: [79][690/11272] Time 0.826 (0.778) Data 0.002 (0.007) Loss 2.0473 (1.6212) Prec@1 46.875 (56.287) Prec@5 78.750 (84.863) Epoch: [79][700/11272] Time 0.800 (0.778) Data 0.001 (0.007) Loss 1.8224 (1.6215) Prec@1 50.000 (56.277) Prec@5 81.250 (84.881) Epoch: [79][710/11272] Time 0.721 (0.778) Data 0.001 (0.007) Loss 1.6275 (1.6221) Prec@1 58.750 (56.281) Prec@5 85.000 (84.870) Epoch: [79][720/11272] Time 0.717 (0.778) Data 0.001 (0.007) Loss 1.4584 (1.6221) Prec@1 59.375 (56.286) Prec@5 85.625 (84.863) Epoch: [79][730/11272] Time 0.821 (0.778) Data 0.002 (0.007) Loss 1.3754 (1.6217) Prec@1 65.625 (56.316) Prec@5 90.000 (84.866) Epoch: [79][740/11272] Time 0.834 (0.777) Data 0.001 (0.007) Loss 1.8167 (1.6214) Prec@1 48.750 (56.327) Prec@5 80.625 (84.860) Epoch: [79][750/11272] Time 0.715 (0.777) Data 0.002 (0.006) Loss 1.7058 (1.6219) Prec@1 58.125 (56.316) Prec@5 80.000 (84.840) Epoch: [79][760/11272] Time 0.704 (0.777) Data 0.002 (0.006) Loss 1.5318 (1.6231) Prec@1 57.500 (56.294) Prec@5 84.375 (84.815) Epoch: [79][770/11272] Time 0.826 (0.777) Data 0.002 (0.006) Loss 1.6301 (1.6232) Prec@1 58.750 (56.278) Prec@5 83.125 (84.801) Epoch: [79][780/11272] Time 0.829 (0.777) Data 0.002 (0.006) Loss 1.6079 (1.6233) Prec@1 60.625 (56.287) Prec@5 83.750 (84.786) Epoch: [79][790/11272] Time 0.721 (0.777) Data 0.002 (0.006) Loss 1.6366 (1.6234) Prec@1 57.500 (56.290) Prec@5 85.625 (84.787) Epoch: [79][800/11272] Time 0.798 (0.777) Data 0.001 (0.006) Loss 1.5571 (1.6230) Prec@1 57.500 (56.307) Prec@5 81.875 (84.784) Epoch: [79][810/11272] Time 0.812 (0.777) Data 0.002 (0.006) Loss 1.5780 (1.6232) Prec@1 58.125 (56.289) Prec@5 85.625 (84.773) Epoch: [79][820/11272] Time 0.727 (0.777) Data 0.002 (0.006) Loss 1.7103 (1.6225) Prec@1 57.500 (56.310) Prec@5 86.250 (84.788) Epoch: [79][830/11272] Time 0.707 (0.777) Data 0.001 (0.006) Loss 1.6521 (1.6213) Prec@1 56.250 (56.331) Prec@5 83.125 (84.794) Epoch: [79][840/11272] Time 0.787 (0.777) Data 0.001 (0.006) Loss 1.6726 (1.6218) Prec@1 53.125 (56.315) Prec@5 85.625 (84.787) Epoch: [79][850/11272] Time 0.809 (0.777) Data 0.002 (0.006) Loss 1.4118 (1.6221) Prec@1 58.750 (56.315) Prec@5 90.000 (84.776) Epoch: [79][860/11272] Time 0.744 (0.777) Data 0.002 (0.006) Loss 1.4833 (1.6223) Prec@1 64.375 (56.321) Prec@5 85.625 (84.768) Epoch: [79][870/11272] Time 0.720 (0.777) Data 0.002 (0.006) Loss 1.6268 (1.6224) Prec@1 61.875 (56.325) Prec@5 83.125 (84.755) Epoch: [79][880/11272] Time 0.800 (0.777) Data 0.001 (0.006) Loss 1.5944 (1.6224) Prec@1 58.125 (56.325) Prec@5 83.750 (84.760) Epoch: [79][890/11272] Time 0.844 (0.777) Data 0.004 (0.006) Loss 1.3351 (1.6222) Prec@1 65.625 (56.336) Prec@5 88.125 (84.755) Epoch: [79][900/11272] Time 0.741 (0.777) Data 0.002 (0.006) Loss 1.5035 (1.6224) Prec@1 60.625 (56.324) Prec@5 86.250 (84.758) Epoch: [79][910/11272] Time 0.721 (0.777) Data 0.002 (0.006) Loss 1.5287 (1.6218) Prec@1 59.375 (56.321) Prec@5 86.250 (84.763) Epoch: [79][920/11272] Time 0.782 (0.777) Data 0.001 (0.006) Loss 1.7815 (1.6221) Prec@1 52.500 (56.323) Prec@5 82.500 (84.771) Epoch: [79][930/11272] Time 0.724 (0.777) Data 0.001 (0.006) Loss 1.7106 (1.6221) Prec@1 51.875 (56.319) Prec@5 85.625 (84.771) Epoch: [79][940/11272] Time 0.727 (0.777) Data 0.002 (0.005) Loss 1.5757 (1.6228) Prec@1 58.750 (56.303) Prec@5 83.125 (84.766) Epoch: [79][950/11272] Time 0.829 (0.777) Data 0.001 (0.005) Loss 1.6726 (1.6229) Prec@1 55.625 (56.298) Prec@5 84.375 (84.772) Epoch: [79][960/11272] Time 0.800 (0.777) Data 0.002 (0.005) Loss 1.5544 (1.6230) Prec@1 56.250 (56.299) Prec@5 85.625 (84.761) Epoch: [79][970/11272] Time 0.734 (0.777) Data 0.002 (0.005) Loss 1.5487 (1.6236) Prec@1 61.875 (56.300) Prec@5 86.875 (84.749) Epoch: [79][980/11272] Time 0.739 (0.777) Data 0.002 (0.005) Loss 1.5246 (1.6236) Prec@1 56.875 (56.293) Prec@5 88.125 (84.749) Epoch: [79][990/11272] Time 0.825 (0.777) Data 0.002 (0.005) Loss 1.5374 (1.6230) Prec@1 55.625 (56.309) Prec@5 85.625 (84.749) Epoch: [79][1000/11272] Time 0.813 (0.777) Data 0.002 (0.005) Loss 1.5006 (1.6232) Prec@1 60.625 (56.300) Prec@5 85.000 (84.746) Epoch: [79][1010/11272] Time 0.734 (0.777) Data 0.002 (0.005) Loss 1.5791 (1.6233) Prec@1 60.000 (56.303) Prec@5 86.875 (84.745) Epoch: [79][1020/11272] Time 0.721 (0.777) Data 0.001 (0.005) Loss 1.6278 (1.6237) Prec@1 53.750 (56.296) Prec@5 87.500 (84.742) Epoch: [79][1030/11272] Time 0.787 (0.777) Data 0.001 (0.005) Loss 1.7094 (1.6238) Prec@1 53.125 (56.289) Prec@5 83.125 (84.739) Epoch: [79][1040/11272] Time 0.828 (0.777) Data 0.002 (0.005) Loss 1.7554 (1.6235) Prec@1 48.750 (56.303) Prec@5 81.250 (84.743) Epoch: [79][1050/11272] Time 0.738 (0.777) Data 0.002 (0.005) Loss 1.5119 (1.6235) Prec@1 59.375 (56.310) Prec@5 82.500 (84.735) Epoch: [79][1060/11272] Time 0.859 (0.777) Data 0.001 (0.005) Loss 1.4215 (1.6231) Prec@1 60.000 (56.320) Prec@5 88.125 (84.738) Epoch: [79][1070/11272] Time 0.844 (0.777) Data 0.001 (0.005) Loss 1.8375 (1.6234) Prec@1 53.750 (56.316) Prec@5 83.750 (84.738) Epoch: [79][1080/11272] Time 0.755 (0.777) Data 0.001 (0.005) Loss 1.5557 (1.6232) Prec@1 58.750 (56.321) Prec@5 87.500 (84.731) Epoch: [79][1090/11272] Time 0.738 (0.777) Data 0.001 (0.005) Loss 1.5643 (1.6223) Prec@1 58.750 (56.357) Prec@5 82.500 (84.743) Epoch: [79][1100/11272] Time 0.820 (0.777) Data 0.002 (0.005) Loss 1.7141 (1.6224) Prec@1 54.375 (56.349) Prec@5 85.000 (84.743) Epoch: [79][1110/11272] Time 0.861 (0.777) Data 0.002 (0.005) Loss 1.5969 (1.6223) Prec@1 56.250 (56.352) Prec@5 85.625 (84.754) Epoch: [79][1120/11272] Time 0.737 (0.777) Data 0.001 (0.005) Loss 1.9011 (1.6229) Prec@1 51.875 (56.332) Prec@5 81.875 (84.745) Epoch: [79][1130/11272] Time 0.705 (0.777) Data 0.001 (0.005) Loss 1.6550 (1.6230) Prec@1 55.000 (56.325) Prec@5 85.000 (84.750) Epoch: [79][1140/11272] Time 0.885 (0.777) Data 0.002 (0.005) Loss 1.5915 (1.6229) Prec@1 55.000 (56.332) Prec@5 86.875 (84.750) Epoch: [79][1150/11272] Time 0.804 (0.777) Data 0.001 (0.005) Loss 1.7374 (1.6234) Prec@1 54.375 (56.325) Prec@5 80.625 (84.740) Epoch: [79][1160/11272] Time 0.712 (0.777) Data 0.002 (0.005) Loss 1.4864 (1.6230) Prec@1 59.375 (56.325) Prec@5 86.875 (84.745) Epoch: [79][1170/11272] Time 0.747 (0.777) Data 0.001 (0.005) Loss 1.7101 (1.6222) Prec@1 56.250 (56.350) Prec@5 81.250 (84.748) Epoch: [79][1180/11272] Time 0.795 (0.777) Data 0.001 (0.005) Loss 1.7374 (1.6221) Prec@1 55.625 (56.361) Prec@5 80.625 (84.745) Epoch: [79][1190/11272] Time 0.704 (0.777) Data 0.003 (0.005) Loss 1.7390 (1.6223) Prec@1 51.250 (56.357) Prec@5 81.875 (84.744) Epoch: [79][1200/11272] Time 0.729 (0.777) Data 0.001 (0.005) Loss 1.8217 (1.6229) Prec@1 50.625 (56.337) Prec@5 80.625 (84.734) Epoch: [79][1210/11272] Time 0.836 (0.777) Data 0.001 (0.005) Loss 1.6037 (1.6231) Prec@1 57.500 (56.324) Prec@5 85.625 (84.729) Epoch: [79][1220/11272] Time 0.794 (0.777) Data 0.001 (0.005) Loss 1.6679 (1.6234) Prec@1 51.250 (56.307) Prec@5 83.750 (84.724) Epoch: [79][1230/11272] Time 0.716 (0.777) Data 0.002 (0.005) Loss 1.7054 (1.6230) Prec@1 55.000 (56.331) Prec@5 81.250 (84.725) Epoch: [79][1240/11272] Time 0.697 (0.777) Data 0.001 (0.005) Loss 1.5710 (1.6228) Prec@1 58.750 (56.339) Prec@5 85.625 (84.725) Epoch: [79][1250/11272] Time 0.803 (0.777) Data 0.001 (0.005) Loss 1.5762 (1.6224) Prec@1 59.375 (56.345) Prec@5 89.375 (84.736) Epoch: [79][1260/11272] Time 0.836 (0.777) Data 0.002 (0.004) Loss 1.6262 (1.6226) Prec@1 48.750 (56.339) Prec@5 89.375 (84.735) Epoch: [79][1270/11272] Time 0.733 (0.777) Data 0.002 (0.004) Loss 1.5565 (1.6224) Prec@1 58.750 (56.339) Prec@5 86.250 (84.739) Epoch: [79][1280/11272] Time 0.712 (0.777) Data 0.002 (0.004) Loss 1.8759 (1.6226) Prec@1 55.000 (56.337) Prec@5 81.875 (84.740) Epoch: [79][1290/11272] Time 0.804 (0.777) Data 0.001 (0.004) Loss 1.7268 (1.6228) Prec@1 55.625 (56.340) Prec@5 80.625 (84.738) Epoch: [79][1300/11272] Time 0.820 (0.777) Data 0.001 (0.004) Loss 1.7787 (1.6221) Prec@1 54.375 (56.357) Prec@5 81.875 (84.749) Epoch: [79][1310/11272] Time 0.742 (0.777) Data 0.002 (0.004) Loss 1.5670 (1.6222) Prec@1 57.500 (56.351) Prec@5 85.000 (84.744) Epoch: [79][1320/11272] Time 0.819 (0.777) Data 0.002 (0.004) Loss 1.5782 (1.6218) Prec@1 57.500 (56.361) Prec@5 87.500 (84.752) Epoch: [79][1330/11272] Time 0.818 (0.777) Data 0.002 (0.004) Loss 1.6182 (1.6219) Prec@1 56.250 (56.352) Prec@5 85.000 (84.748) Epoch: [79][1340/11272] Time 0.720 (0.777) Data 0.001 (0.004) Loss 1.5245 (1.6217) Prec@1 58.750 (56.359) Prec@5 88.750 (84.760) Epoch: [79][1350/11272] Time 0.727 (0.777) Data 0.002 (0.004) Loss 1.5624 (1.6216) Prec@1 63.125 (56.368) Prec@5 85.625 (84.762) Epoch: [79][1360/11272] Time 0.782 (0.776) Data 0.001 (0.004) Loss 1.6236 (1.6221) Prec@1 53.125 (56.355) Prec@5 83.750 (84.752) Epoch: [79][1370/11272] Time 0.822 (0.776) Data 0.002 (0.004) Loss 1.7020 (1.6221) Prec@1 53.125 (56.349) Prec@5 85.000 (84.754) Epoch: [79][1380/11272] Time 0.762 (0.776) Data 0.001 (0.004) Loss 1.6048 (1.6221) Prec@1 56.250 (56.349) Prec@5 85.000 (84.759) Epoch: [79][1390/11272] Time 0.708 (0.776) Data 0.001 (0.004) Loss 1.5137 (1.6223) Prec@1 63.125 (56.352) Prec@5 85.625 (84.757) Epoch: [79][1400/11272] Time 0.829 (0.776) Data 0.002 (0.004) Loss 1.6552 (1.6224) Prec@1 52.500 (56.339) Prec@5 85.000 (84.760) Epoch: [79][1410/11272] Time 0.852 (0.776) Data 0.002 (0.004) Loss 1.6311 (1.6223) Prec@1 59.375 (56.335) Prec@5 83.750 (84.763) Epoch: [79][1420/11272] Time 0.720 (0.776) Data 0.001 (0.004) Loss 1.4593 (1.6222) Prec@1 60.625 (56.350) Prec@5 85.625 (84.764) Epoch: [79][1430/11272] Time 0.713 (0.776) Data 0.002 (0.004) Loss 1.5815 (1.6224) Prec@1 58.750 (56.343) Prec@5 86.875 (84.762) Epoch: [79][1440/11272] Time 0.867 (0.776) Data 0.002 (0.004) Loss 1.4832 (1.6225) Prec@1 61.250 (56.344) Prec@5 87.500 (84.764) Epoch: [79][1450/11272] Time 0.705 (0.776) Data 0.003 (0.004) Loss 1.4974 (1.6222) Prec@1 54.375 (56.339) Prec@5 88.750 (84.772) Epoch: [79][1460/11272] Time 0.734 (0.777) Data 0.001 (0.004) Loss 1.6645 (1.6222) Prec@1 55.000 (56.340) Prec@5 81.875 (84.775) Epoch: [79][1470/11272] Time 0.801 (0.777) Data 0.001 (0.004) Loss 1.6273 (1.6228) Prec@1 60.625 (56.330) Prec@5 84.375 (84.768) Epoch: [79][1480/11272] Time 0.825 (0.777) Data 0.002 (0.004) Loss 1.8001 (1.6227) Prec@1 51.250 (56.329) Prec@5 85.000 (84.769) Epoch: [79][1490/11272] Time 0.729 (0.777) Data 0.002 (0.004) Loss 1.6469 (1.6227) Prec@1 60.625 (56.340) Prec@5 80.625 (84.770) Epoch: [79][1500/11272] Time 0.701 (0.777) Data 0.001 (0.004) Loss 1.5151 (1.6227) Prec@1 60.625 (56.337) Prec@5 86.875 (84.768) Epoch: [79][1510/11272] Time 0.826 (0.777) Data 0.002 (0.004) Loss 1.6619 (1.6228) Prec@1 55.625 (56.338) Prec@5 83.125 (84.773) Epoch: [79][1520/11272] Time 0.800 (0.777) Data 0.001 (0.004) Loss 1.4708 (1.6231) Prec@1 53.750 (56.326) Prec@5 88.125 (84.776) Epoch: [79][1530/11272] Time 0.725 (0.777) Data 0.001 (0.004) Loss 1.5216 (1.6232) Prec@1 56.875 (56.326) Prec@5 88.125 (84.768) Epoch: [79][1540/11272] Time 0.715 (0.776) Data 0.002 (0.004) Loss 1.6279 (1.6231) Prec@1 55.000 (56.329) Prec@5 85.000 (84.770) Epoch: [79][1550/11272] Time 0.820 (0.776) Data 0.002 (0.004) Loss 1.8726 (1.6225) Prec@1 50.625 (56.346) Prec@5 78.750 (84.778) Epoch: [79][1560/11272] Time 0.824 (0.776) Data 0.002 (0.004) Loss 1.5760 (1.6226) Prec@1 57.500 (56.341) Prec@5 87.500 (84.779) Epoch: [79][1570/11272] Time 0.761 (0.776) Data 0.002 (0.004) Loss 1.4914 (1.6221) Prec@1 60.625 (56.362) Prec@5 85.625 (84.783) Epoch: [79][1580/11272] Time 0.845 (0.776) Data 0.001 (0.004) Loss 1.4789 (1.6222) Prec@1 60.625 (56.354) Prec@5 89.375 (84.782) Epoch: [79][1590/11272] Time 0.825 (0.776) Data 0.001 (0.004) Loss 1.5404 (1.6226) Prec@1 51.875 (56.343) Prec@5 86.250 (84.775) Epoch: [79][1600/11272] Time 0.703 (0.776) Data 0.002 (0.004) Loss 1.6303 (1.6223) Prec@1 58.750 (56.347) Prec@5 85.000 (84.786) Epoch: [79][1610/11272] Time 0.714 (0.776) Data 0.002 (0.004) Loss 1.4585 (1.6221) Prec@1 62.500 (56.345) Prec@5 86.250 (84.790) Epoch: [79][1620/11272] Time 0.819 (0.776) Data 0.001 (0.004) Loss 1.5903 (1.6225) Prec@1 60.625 (56.341) Prec@5 85.000 (84.787) Epoch: [79][1630/11272] Time 0.782 (0.776) Data 0.001 (0.004) Loss 1.5582 (1.6220) Prec@1 53.125 (56.348) Prec@5 88.125 (84.792) Epoch: [79][1640/11272] Time 0.704 (0.776) Data 0.001 (0.004) Loss 1.5507 (1.6220) Prec@1 55.000 (56.349) Prec@5 85.625 (84.797) Epoch: [79][1650/11272] Time 0.716 (0.776) Data 0.002 (0.004) Loss 1.5992 (1.6216) Prec@1 60.000 (56.361) Prec@5 85.000 (84.802) Epoch: [79][1660/11272] Time 0.821 (0.776) Data 0.002 (0.004) Loss 1.5082 (1.6212) Prec@1 61.250 (56.369) Prec@5 88.125 (84.804) Epoch: [79][1670/11272] Time 0.945 (0.776) Data 0.002 (0.004) Loss 1.7880 (1.6209) Prec@1 51.250 (56.375) Prec@5 83.125 (84.809) Epoch: [79][1680/11272] Time 0.714 (0.776) Data 0.002 (0.004) Loss 1.5789 (1.6209) Prec@1 61.250 (56.383) Prec@5 87.500 (84.805) Epoch: [79][1690/11272] Time 0.711 (0.776) Data 0.002 (0.004) Loss 1.5083 (1.6208) Prec@1 60.625 (56.390) Prec@5 86.875 (84.814) Epoch: [79][1700/11272] Time 0.828 (0.776) Data 0.002 (0.004) Loss 1.3242 (1.6207) Prec@1 62.500 (56.393) Prec@5 86.875 (84.815) Epoch: [79][1710/11272] Time 0.810 (0.776) Data 0.001 (0.004) Loss 1.8025 (1.6205) Prec@1 50.625 (56.400) Prec@5 84.375 (84.816) Epoch: [79][1720/11272] Time 0.719 (0.776) Data 0.001 (0.004) Loss 1.5799 (1.6204) Prec@1 58.125 (56.409) Prec@5 86.250 (84.820) Epoch: [79][1730/11272] Time 0.827 (0.776) Data 0.001 (0.004) Loss 1.8915 (1.6203) Prec@1 50.625 (56.409) Prec@5 78.750 (84.813) Epoch: [79][1740/11272] Time 0.811 (0.776) Data 0.001 (0.004) Loss 1.5788 (1.6208) Prec@1 58.750 (56.395) Prec@5 85.000 (84.807) Epoch: [79][1750/11272] Time 0.707 (0.776) Data 0.002 (0.004) Loss 1.5519 (1.6210) Prec@1 56.250 (56.393) Prec@5 83.125 (84.800) Epoch: [79][1760/11272] Time 0.708 (0.776) Data 0.001 (0.004) Loss 1.6002 (1.6209) Prec@1 56.250 (56.399) Prec@5 84.375 (84.801) Epoch: [79][1770/11272] Time 0.805 (0.776) Data 0.002 (0.004) Loss 1.7555 (1.6208) Prec@1 54.375 (56.396) Prec@5 81.250 (84.803) Epoch: [79][1780/11272] Time 0.836 (0.776) Data 0.001 (0.004) Loss 1.6590 (1.6213) Prec@1 58.750 (56.389) Prec@5 82.500 (84.787) Epoch: [79][1790/11272] Time 0.710 (0.776) Data 0.002 (0.004) Loss 1.6847 (1.6214) Prec@1 55.000 (56.393) Prec@5 83.750 (84.781) Epoch: [79][1800/11272] Time 0.747 (0.776) Data 0.002 (0.004) Loss 1.6562 (1.6214) Prec@1 51.250 (56.386) Prec@5 86.875 (84.782) Epoch: [79][1810/11272] Time 0.849 (0.776) Data 0.002 (0.004) Loss 1.5619 (1.6214) Prec@1 56.875 (56.386) Prec@5 85.000 (84.781) Epoch: [79][1820/11272] Time 0.871 (0.776) Data 0.002 (0.004) Loss 1.5889 (1.6213) Prec@1 59.375 (56.380) Prec@5 85.000 (84.781) Epoch: [79][1830/11272] Time 0.716 (0.776) Data 0.002 (0.004) Loss 1.4633 (1.6212) Prec@1 58.750 (56.389) Prec@5 85.625 (84.785) Epoch: [79][1840/11272] Time 0.719 (0.776) Data 0.002 (0.004) Loss 1.3622 (1.6211) Prec@1 60.000 (56.391) Prec@5 87.500 (84.784) Epoch: [79][1850/11272] Time 0.803 (0.776) Data 0.001 (0.004) Loss 1.7263 (1.6214) Prec@1 58.125 (56.390) Prec@5 83.125 (84.782) Epoch: [79][1860/11272] Time 0.712 (0.776) Data 0.001 (0.004) Loss 1.6703 (1.6212) Prec@1 53.750 (56.391) Prec@5 85.000 (84.785) Epoch: [79][1870/11272] Time 0.713 (0.776) Data 0.002 (0.004) Loss 1.9254 (1.6215) Prec@1 50.000 (56.387) Prec@5 78.125 (84.782) Epoch: [79][1880/11272] Time 0.860 (0.776) Data 0.002 (0.004) Loss 1.7294 (1.6218) Prec@1 51.875 (56.377) Prec@5 84.375 (84.777) Epoch: [79][1890/11272] Time 0.798 (0.776) Data 0.002 (0.004) Loss 1.6732 (1.6215) Prec@1 58.750 (56.390) Prec@5 84.375 (84.785) Epoch: [79][1900/11272] Time 0.730 (0.776) Data 0.002 (0.004) Loss 1.4772 (1.6213) Prec@1 62.500 (56.395) Prec@5 86.875 (84.789) Epoch: [79][1910/11272] Time 0.766 (0.776) Data 0.002 (0.004) Loss 1.6504 (1.6213) Prec@1 56.250 (56.405) Prec@5 84.375 (84.792) Epoch: [79][1920/11272] Time 0.858 (0.776) Data 0.002 (0.003) Loss 1.5062 (1.6211) Prec@1 60.000 (56.412) Prec@5 85.625 (84.796) Epoch: [79][1930/11272] Time 0.794 (0.776) Data 0.001 (0.003) Loss 1.7433 (1.6208) Prec@1 53.125 (56.418) Prec@5 83.750 (84.802) Epoch: [79][1940/11272] Time 0.708 (0.776) Data 0.002 (0.003) Loss 1.5616 (1.6208) Prec@1 57.500 (56.410) Prec@5 85.000 (84.802) Epoch: [79][1950/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.9207 (1.6208) Prec@1 51.250 (56.419) Prec@5 80.625 (84.802) Epoch: [79][1960/11272] Time 0.877 (0.776) Data 0.001 (0.003) Loss 1.7306 (1.6208) Prec@1 52.500 (56.411) Prec@5 80.625 (84.800) Epoch: [79][1970/11272] Time 0.820 (0.776) Data 0.001 (0.003) Loss 1.5416 (1.6205) Prec@1 63.125 (56.429) Prec@5 85.000 (84.805) Epoch: [79][1980/11272] Time 0.705 (0.776) Data 0.001 (0.003) Loss 1.4566 (1.6203) Prec@1 60.625 (56.432) Prec@5 89.375 (84.805) Epoch: [79][1990/11272] Time 0.816 (0.776) Data 0.002 (0.003) Loss 1.5776 (1.6204) Prec@1 59.375 (56.427) Prec@5 81.875 (84.804) Epoch: [79][2000/11272] Time 0.849 (0.776) Data 0.002 (0.003) Loss 1.7609 (1.6201) Prec@1 51.250 (56.429) Prec@5 81.875 (84.816) Epoch: [79][2010/11272] Time 0.748 (0.776) Data 0.002 (0.003) Loss 1.6640 (1.6203) Prec@1 56.250 (56.419) Prec@5 83.125 (84.815) Epoch: [79][2020/11272] Time 0.721 (0.776) Data 0.002 (0.003) Loss 1.5508 (1.6201) Prec@1 53.750 (56.423) Prec@5 83.750 (84.820) Epoch: [79][2030/11272] Time 0.801 (0.776) Data 0.001 (0.003) Loss 1.4900 (1.6201) Prec@1 59.375 (56.421) Prec@5 88.125 (84.820) Epoch: [79][2040/11272] Time 0.872 (0.776) Data 0.002 (0.003) Loss 1.7017 (1.6199) Prec@1 50.000 (56.419) Prec@5 84.375 (84.823) Epoch: [79][2050/11272] Time 0.724 (0.776) Data 0.002 (0.003) Loss 1.5707 (1.6197) Prec@1 55.625 (56.425) Prec@5 86.250 (84.825) Epoch: [79][2060/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.5880 (1.6196) Prec@1 56.875 (56.432) Prec@5 86.250 (84.828) Epoch: [79][2070/11272] Time 0.962 (0.776) Data 0.002 (0.003) Loss 1.5215 (1.6195) Prec@1 61.875 (56.437) Prec@5 88.125 (84.829) Epoch: [79][2080/11272] Time 0.823 (0.776) Data 0.002 (0.003) Loss 1.8360 (1.6197) Prec@1 51.250 (56.428) Prec@5 83.125 (84.828) Epoch: [79][2090/11272] Time 0.720 (0.776) Data 0.001 (0.003) Loss 1.5176 (1.6192) Prec@1 58.125 (56.440) Prec@5 86.875 (84.837) Epoch: [79][2100/11272] Time 0.709 (0.776) Data 0.001 (0.003) Loss 1.5858 (1.6195) Prec@1 62.500 (56.440) Prec@5 83.750 (84.833) Epoch: [79][2110/11272] Time 0.801 (0.776) Data 0.001 (0.003) Loss 1.6151 (1.6196) Prec@1 56.875 (56.430) Prec@5 85.000 (84.831) Epoch: [79][2120/11272] Time 0.713 (0.776) Data 0.003 (0.003) Loss 1.8737 (1.6200) Prec@1 50.625 (56.418) Prec@5 81.875 (84.823) Epoch: [79][2130/11272] Time 0.730 (0.776) Data 0.002 (0.003) Loss 1.5938 (1.6199) Prec@1 53.125 (56.424) Prec@5 84.375 (84.820) Epoch: [79][2140/11272] Time 0.831 (0.776) Data 0.002 (0.003) Loss 1.6240 (1.6198) Prec@1 58.125 (56.424) Prec@5 84.375 (84.821) Epoch: [79][2150/11272] Time 0.833 (0.776) Data 0.002 (0.003) Loss 1.6292 (1.6198) Prec@1 59.375 (56.428) Prec@5 83.750 (84.822) Epoch: [79][2160/11272] Time 0.707 (0.776) Data 0.002 (0.003) Loss 1.4110 (1.6198) Prec@1 58.125 (56.432) Prec@5 89.375 (84.814) Epoch: [79][2170/11272] Time 0.723 (0.776) Data 0.002 (0.003) Loss 1.4123 (1.6199) Prec@1 66.875 (56.430) Prec@5 88.750 (84.815) Epoch: [79][2180/11272] Time 0.828 (0.776) Data 0.002 (0.003) Loss 1.4740 (1.6199) Prec@1 56.250 (56.425) Prec@5 85.625 (84.816) Epoch: [79][2190/11272] Time 0.899 (0.776) Data 0.002 (0.003) Loss 1.6034 (1.6201) Prec@1 53.750 (56.419) Prec@5 84.375 (84.810) Epoch: [79][2200/11272] Time 0.741 (0.776) Data 0.002 (0.003) Loss 1.6868 (1.6202) Prec@1 48.750 (56.418) Prec@5 88.750 (84.810) Epoch: [79][2210/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.7042 (1.6203) Prec@1 58.125 (56.417) Prec@5 83.750 (84.804) Epoch: [79][2220/11272] Time 0.814 (0.776) Data 0.002 (0.003) Loss 1.7397 (1.6202) Prec@1 50.625 (56.415) Prec@5 82.500 (84.804) Epoch: [79][2230/11272] Time 0.839 (0.776) Data 0.002 (0.003) Loss 1.6074 (1.6203) Prec@1 57.500 (56.410) Prec@5 86.250 (84.803) Epoch: [79][2240/11272] Time 0.732 (0.776) Data 0.002 (0.003) Loss 1.7404 (1.6202) Prec@1 52.500 (56.416) Prec@5 83.125 (84.801) Epoch: [79][2250/11272] Time 0.871 (0.776) Data 0.001 (0.003) Loss 1.5206 (1.6201) Prec@1 57.500 (56.416) Prec@5 85.625 (84.802) Epoch: [79][2260/11272] Time 0.816 (0.776) Data 0.002 (0.003) Loss 1.6296 (1.6202) Prec@1 53.125 (56.410) Prec@5 84.375 (84.797) Epoch: [79][2270/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.2932 (1.6199) Prec@1 65.625 (56.411) Prec@5 87.500 (84.805) Epoch: [79][2280/11272] Time 0.705 (0.776) Data 0.001 (0.003) Loss 1.6312 (1.6200) Prec@1 53.125 (56.411) Prec@5 85.625 (84.805) Epoch: [79][2290/11272] Time 0.822 (0.776) Data 0.001 (0.003) Loss 1.5468 (1.6199) Prec@1 56.250 (56.417) Prec@5 84.375 (84.807) Epoch: [79][2300/11272] Time 0.836 (0.776) Data 0.002 (0.003) Loss 1.8572 (1.6198) Prec@1 51.250 (56.417) Prec@5 82.500 (84.809) Epoch: [79][2310/11272] Time 0.774 (0.776) Data 0.002 (0.003) Loss 1.7364 (1.6199) Prec@1 55.000 (56.420) Prec@5 81.250 (84.806) Epoch: [79][2320/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.7850 (1.6200) Prec@1 59.375 (56.417) Prec@5 80.625 (84.805) Epoch: [79][2330/11272] Time 0.822 (0.776) Data 0.002 (0.003) Loss 1.5582 (1.6199) Prec@1 62.500 (56.420) Prec@5 87.500 (84.809) Epoch: [79][2340/11272] Time 0.826 (0.776) Data 0.002 (0.003) Loss 1.5801 (1.6200) Prec@1 60.000 (56.418) Prec@5 85.000 (84.808) Epoch: [79][2350/11272] Time 0.693 (0.776) Data 0.001 (0.003) Loss 1.5182 (1.6197) Prec@1 55.000 (56.424) Prec@5 88.125 (84.814) Epoch: [79][2360/11272] Time 0.730 (0.776) Data 0.002 (0.003) Loss 1.4392 (1.6197) Prec@1 56.250 (56.421) Prec@5 87.500 (84.815) Epoch: [79][2370/11272] Time 0.844 (0.776) Data 0.002 (0.003) Loss 1.7314 (1.6199) Prec@1 53.750 (56.417) Prec@5 83.750 (84.815) Epoch: [79][2380/11272] Time 0.725 (0.776) Data 0.003 (0.003) Loss 1.8321 (1.6201) Prec@1 53.750 (56.418) Prec@5 78.125 (84.808) Epoch: [79][2390/11272] Time 0.730 (0.776) Data 0.001 (0.003) Loss 1.4835 (1.6198) Prec@1 60.000 (56.413) Prec@5 85.625 (84.810) Epoch: [79][2400/11272] Time 0.861 (0.776) Data 0.001 (0.003) Loss 1.7911 (1.6200) Prec@1 56.250 (56.417) Prec@5 79.375 (84.806) Epoch: [79][2410/11272] Time 0.820 (0.776) Data 0.002 (0.003) Loss 1.7161 (1.6201) Prec@1 57.500 (56.414) Prec@5 85.625 (84.805) Epoch: [79][2420/11272] Time 0.782 (0.776) Data 0.002 (0.003) Loss 1.5547 (1.6200) Prec@1 58.750 (56.414) Prec@5 86.875 (84.807) Epoch: [79][2430/11272] Time 0.706 (0.777) Data 0.002 (0.003) Loss 1.5896 (1.6201) Prec@1 60.625 (56.410) Prec@5 83.125 (84.806) Epoch: [79][2440/11272] Time 0.823 (0.777) Data 0.002 (0.003) Loss 1.5187 (1.6200) Prec@1 57.500 (56.407) Prec@5 85.625 (84.807) Epoch: [79][2450/11272] Time 0.821 (0.777) Data 0.001 (0.003) Loss 1.6523 (1.6202) Prec@1 53.750 (56.406) Prec@5 83.125 (84.805) Epoch: [79][2460/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.6486 (1.6204) Prec@1 57.500 (56.409) Prec@5 80.000 (84.798) Epoch: [79][2470/11272] Time 0.767 (0.777) Data 0.002 (0.003) Loss 1.7350 (1.6204) Prec@1 56.250 (56.402) Prec@5 85.625 (84.798) Epoch: [79][2480/11272] Time 0.830 (0.777) Data 0.002 (0.003) Loss 1.7440 (1.6205) Prec@1 53.125 (56.398) Prec@5 84.375 (84.796) Epoch: [79][2490/11272] Time 0.813 (0.777) Data 0.002 (0.003) Loss 1.6032 (1.6207) Prec@1 61.250 (56.396) Prec@5 85.625 (84.793) Epoch: [79][2500/11272] Time 0.719 (0.776) Data 0.002 (0.003) Loss 1.6500 (1.6210) Prec@1 51.250 (56.391) Prec@5 83.750 (84.791) Epoch: [79][2510/11272] Time 0.799 (0.776) Data 0.002 (0.003) Loss 1.6547 (1.6210) Prec@1 52.500 (56.392) Prec@5 85.000 (84.795) Epoch: [79][2520/11272] Time 0.810 (0.776) Data 0.002 (0.003) Loss 1.5160 (1.6209) Prec@1 60.625 (56.392) Prec@5 85.625 (84.796) Epoch: [79][2530/11272] Time 0.681 (0.776) Data 0.001 (0.003) Loss 1.6581 (1.6208) Prec@1 53.125 (56.395) Prec@5 85.000 (84.798) Epoch: [79][2540/11272] Time 0.761 (0.776) Data 0.002 (0.003) Loss 1.4717 (1.6209) Prec@1 60.000 (56.399) Prec@5 87.500 (84.795) Epoch: [79][2550/11272] Time 0.828 (0.776) Data 0.001 (0.003) Loss 1.7622 (1.6213) Prec@1 56.250 (56.392) Prec@5 81.250 (84.787) Epoch: [79][2560/11272] Time 0.800 (0.776) Data 0.001 (0.003) Loss 1.6769 (1.6212) Prec@1 53.750 (56.392) Prec@5 86.250 (84.788) Epoch: [79][2570/11272] Time 0.721 (0.776) Data 0.002 (0.003) Loss 1.5774 (1.6213) Prec@1 59.375 (56.387) Prec@5 81.875 (84.783) Epoch: [79][2580/11272] Time 0.705 (0.776) Data 0.002 (0.003) Loss 1.7366 (1.6215) Prec@1 50.000 (56.381) Prec@5 80.625 (84.779) Epoch: [79][2590/11272] Time 0.813 (0.776) Data 0.001 (0.003) Loss 1.6458 (1.6215) Prec@1 53.750 (56.377) Prec@5 83.750 (84.782) Epoch: [79][2600/11272] Time 0.809 (0.776) Data 0.002 (0.003) Loss 1.4605 (1.6215) Prec@1 63.125 (56.372) Prec@5 87.500 (84.782) Epoch: [79][2610/11272] Time 0.711 (0.776) Data 0.001 (0.003) Loss 1.6019 (1.6217) Prec@1 57.500 (56.368) Prec@5 85.000 (84.775) Epoch: [79][2620/11272] Time 0.714 (0.776) Data 0.002 (0.003) Loss 1.6203 (1.6216) Prec@1 61.250 (56.369) Prec@5 80.625 (84.776) Epoch: [79][2630/11272] Time 0.863 (0.776) Data 0.002 (0.003) Loss 1.4884 (1.6214) Prec@1 58.125 (56.372) Prec@5 86.875 (84.780) Epoch: [79][2640/11272] Time 0.827 (0.776) Data 0.002 (0.003) Loss 1.6362 (1.6218) Prec@1 54.375 (56.369) Prec@5 86.250 (84.775) Epoch: [79][2650/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.6031 (1.6217) Prec@1 52.500 (56.367) Prec@5 85.625 (84.776) Epoch: [79][2660/11272] Time 0.837 (0.776) Data 0.001 (0.003) Loss 1.6300 (1.6216) Prec@1 59.375 (56.373) Prec@5 82.500 (84.780) Epoch: [79][2670/11272] Time 0.819 (0.776) Data 0.002 (0.003) Loss 1.4712 (1.6215) Prec@1 61.250 (56.375) Prec@5 86.875 (84.779) Epoch: [79][2680/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.4160 (1.6215) Prec@1 58.125 (56.375) Prec@5 86.875 (84.778) Epoch: [79][2690/11272] Time 0.720 (0.776) Data 0.002 (0.003) Loss 1.4514 (1.6214) Prec@1 59.375 (56.372) Prec@5 87.500 (84.780) Epoch: [79][2700/11272] Time 0.820 (0.777) Data 0.001 (0.003) Loss 1.7100 (1.6212) Prec@1 50.625 (56.373) Prec@5 82.500 (84.783) Epoch: [79][2710/11272] Time 0.816 (0.777) Data 0.002 (0.003) Loss 1.5686 (1.6215) Prec@1 58.125 (56.367) Prec@5 86.875 (84.780) Epoch: [79][2720/11272] Time 0.711 (0.777) Data 0.001 (0.003) Loss 1.7021 (1.6216) Prec@1 53.750 (56.368) Prec@5 81.875 (84.778) Epoch: [79][2730/11272] Time 0.726 (0.777) Data 0.002 (0.003) Loss 1.5946 (1.6214) Prec@1 55.625 (56.371) Prec@5 83.750 (84.781) Epoch: [79][2740/11272] Time 0.813 (0.777) Data 0.002 (0.003) Loss 1.5516 (1.6213) Prec@1 58.750 (56.373) Prec@5 86.875 (84.784) Epoch: [79][2750/11272] Time 0.860 (0.777) Data 0.002 (0.003) Loss 1.6514 (1.6216) Prec@1 53.125 (56.367) Prec@5 83.125 (84.778) Epoch: [79][2760/11272] Time 0.753 (0.777) Data 0.002 (0.003) Loss 1.7962 (1.6218) Prec@1 46.250 (56.361) Prec@5 85.000 (84.777) Epoch: [79][2770/11272] Time 0.718 (0.777) Data 0.002 (0.003) Loss 1.6595 (1.6218) Prec@1 49.375 (56.356) Prec@5 86.250 (84.775) Epoch: [79][2780/11272] Time 0.837 (0.777) Data 0.002 (0.003) Loss 1.5979 (1.6220) Prec@1 52.500 (56.354) Prec@5 85.000 (84.771) Epoch: [79][2790/11272] Time 0.707 (0.777) Data 0.001 (0.003) Loss 1.7561 (1.6223) Prec@1 51.250 (56.349) Prec@5 83.125 (84.763) Epoch: [79][2800/11272] Time 0.724 (0.777) Data 0.002 (0.003) Loss 1.6247 (1.6224) Prec@1 56.875 (56.347) Prec@5 82.500 (84.761) Epoch: [79][2810/11272] Time 0.822 (0.777) Data 0.001 (0.003) Loss 1.5047 (1.6221) Prec@1 56.250 (56.354) Prec@5 87.500 (84.768) Epoch: [79][2820/11272] Time 0.812 (0.777) Data 0.002 (0.003) Loss 1.6150 (1.6223) Prec@1 57.500 (56.346) Prec@5 86.875 (84.763) Epoch: [79][2830/11272] Time 0.717 (0.777) Data 0.002 (0.003) Loss 1.6334 (1.6224) Prec@1 58.750 (56.343) Prec@5 81.875 (84.758) Epoch: [79][2840/11272] Time 0.725 (0.777) Data 0.001 (0.003) Loss 1.7000 (1.6224) Prec@1 56.250 (56.343) Prec@5 83.750 (84.760) Epoch: [79][2850/11272] Time 0.813 (0.777) Data 0.002 (0.003) Loss 1.7506 (1.6227) Prec@1 54.375 (56.330) Prec@5 83.750 (84.761) Epoch: [79][2860/11272] Time 0.811 (0.777) Data 0.002 (0.003) Loss 1.7050 (1.6232) Prec@1 58.750 (56.320) Prec@5 85.000 (84.752) Epoch: [79][2870/11272] Time 0.727 (0.776) Data 0.001 (0.003) Loss 1.4775 (1.6231) Prec@1 59.375 (56.322) Prec@5 87.500 (84.756) Epoch: [79][2880/11272] Time 0.721 (0.776) Data 0.002 (0.003) Loss 1.7622 (1.6228) Prec@1 54.375 (56.329) Prec@5 79.375 (84.760) Epoch: [79][2890/11272] Time 0.904 (0.776) Data 0.002 (0.003) Loss 1.5522 (1.6229) Prec@1 60.000 (56.325) Prec@5 83.125 (84.755) Epoch: [79][2900/11272] Time 0.805 (0.776) Data 0.002 (0.003) Loss 1.7808 (1.6229) Prec@1 59.375 (56.324) Prec@5 80.000 (84.755) Epoch: [79][2910/11272] Time 0.711 (0.776) Data 0.002 (0.003) Loss 1.6325 (1.6229) Prec@1 57.500 (56.323) Prec@5 84.375 (84.753) Epoch: [79][2920/11272] Time 0.788 (0.776) Data 0.001 (0.003) Loss 1.6126 (1.6232) Prec@1 58.750 (56.318) Prec@5 85.625 (84.748) Epoch: [79][2930/11272] Time 0.808 (0.777) Data 0.001 (0.003) Loss 1.5042 (1.6233) Prec@1 54.375 (56.315) Prec@5 86.250 (84.745) Epoch: [79][2940/11272] Time 0.741 (0.777) Data 0.001 (0.003) Loss 1.6959 (1.6234) Prec@1 56.875 (56.313) Prec@5 85.000 (84.743) Epoch: [79][2950/11272] Time 0.713 (0.777) Data 0.002 (0.003) Loss 1.6722 (1.6235) Prec@1 58.750 (56.315) Prec@5 84.375 (84.742) Epoch: [79][2960/11272] Time 0.807 (0.777) Data 0.001 (0.003) Loss 1.5324 (1.6234) Prec@1 60.000 (56.315) Prec@5 86.250 (84.740) Epoch: [79][2970/11272] Time 0.811 (0.777) Data 0.001 (0.003) Loss 1.7623 (1.6236) Prec@1 56.875 (56.315) Prec@5 83.125 (84.739) Epoch: [79][2980/11272] Time 0.720 (0.777) Data 0.001 (0.003) Loss 1.7707 (1.6236) Prec@1 51.875 (56.310) Prec@5 83.750 (84.737) Epoch: [79][2990/11272] Time 0.748 (0.777) Data 0.001 (0.003) Loss 1.4753 (1.6236) Prec@1 58.750 (56.311) Prec@5 88.750 (84.739) Epoch: [79][3000/11272] Time 0.838 (0.777) Data 0.002 (0.003) Loss 1.8887 (1.6234) Prec@1 46.250 (56.312) Prec@5 81.875 (84.741) Epoch: [79][3010/11272] Time 0.848 (0.777) Data 0.002 (0.003) Loss 1.5901 (1.6233) Prec@1 51.250 (56.320) Prec@5 87.500 (84.740) Epoch: [79][3020/11272] Time 0.734 (0.777) Data 0.002 (0.003) Loss 1.7449 (1.6235) Prec@1 51.250 (56.314) Prec@5 80.625 (84.734) Epoch: [79][3030/11272] Time 0.723 (0.777) Data 0.002 (0.003) Loss 1.5913 (1.6235) Prec@1 56.250 (56.315) Prec@5 83.125 (84.736) Epoch: [79][3040/11272] Time 0.838 (0.777) Data 0.002 (0.003) Loss 1.5140 (1.6236) Prec@1 58.125 (56.311) Prec@5 86.250 (84.736) Epoch: [79][3050/11272] Time 0.724 (0.777) Data 0.003 (0.003) Loss 1.3233 (1.6236) Prec@1 65.000 (56.314) Prec@5 89.375 (84.736) Epoch: [79][3060/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.8087 (1.6238) Prec@1 48.750 (56.310) Prec@5 82.500 (84.728) Epoch: [79][3070/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.5458 (1.6238) Prec@1 62.500 (56.311) Prec@5 90.000 (84.727) Epoch: [79][3080/11272] Time 0.798 (0.776) Data 0.002 (0.003) Loss 1.6747 (1.6240) Prec@1 53.125 (56.308) Prec@5 84.375 (84.722) Epoch: [79][3090/11272] Time 0.718 (0.776) Data 0.002 (0.003) Loss 1.7317 (1.6238) Prec@1 55.000 (56.310) Prec@5 82.500 (84.723) Epoch: [79][3100/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.6421 (1.6239) Prec@1 45.625 (56.310) Prec@5 86.250 (84.720) Epoch: [79][3110/11272] Time 0.813 (0.777) Data 0.001 (0.003) Loss 1.7109 (1.6240) Prec@1 56.875 (56.310) Prec@5 82.500 (84.717) Epoch: [79][3120/11272] Time 0.810 (0.777) Data 0.001 (0.003) Loss 1.4132 (1.6238) Prec@1 61.875 (56.315) Prec@5 91.875 (84.721) Epoch: [79][3130/11272] Time 0.704 (0.777) Data 0.002 (0.003) Loss 1.5415 (1.6238) Prec@1 53.750 (56.313) Prec@5 88.125 (84.724) Epoch: [79][3140/11272] Time 0.703 (0.777) Data 0.001 (0.003) Loss 1.9946 (1.6242) Prec@1 48.125 (56.308) Prec@5 76.250 (84.715) Epoch: [79][3150/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.6353 (1.6240) Prec@1 55.625 (56.309) Prec@5 85.000 (84.722) Epoch: [79][3160/11272] Time 0.844 (0.777) Data 0.002 (0.003) Loss 1.6631 (1.6241) Prec@1 56.250 (56.307) Prec@5 83.750 (84.721) Epoch: [79][3170/11272] Time 0.733 (0.777) Data 0.002 (0.003) Loss 1.6780 (1.6240) Prec@1 51.250 (56.310) Prec@5 82.500 (84.721) Epoch: [79][3180/11272] Time 0.800 (0.777) Data 0.001 (0.003) Loss 1.5450 (1.6240) Prec@1 57.500 (56.309) Prec@5 86.250 (84.720) Epoch: [79][3190/11272] Time 0.884 (0.777) Data 0.002 (0.003) Loss 1.6003 (1.6240) Prec@1 60.000 (56.307) Prec@5 86.875 (84.721) Epoch: [79][3200/11272] Time 0.699 (0.777) Data 0.001 (0.003) Loss 1.4731 (1.6240) Prec@1 61.250 (56.304) Prec@5 85.625 (84.721) Epoch: [79][3210/11272] Time 0.737 (0.777) Data 0.002 (0.003) Loss 1.7570 (1.6240) Prec@1 56.250 (56.306) Prec@5 81.250 (84.721) Epoch: [79][3220/11272] Time 0.879 (0.777) Data 0.001 (0.003) Loss 1.7537 (1.6243) Prec@1 56.250 (56.296) Prec@5 81.250 (84.715) Epoch: [79][3230/11272] Time 0.805 (0.777) Data 0.002 (0.003) Loss 1.6083 (1.6244) Prec@1 55.625 (56.291) Prec@5 85.625 (84.714) Epoch: [79][3240/11272] Time 0.745 (0.777) Data 0.002 (0.003) Loss 1.6404 (1.6244) Prec@1 52.500 (56.290) Prec@5 86.875 (84.713) Epoch: [79][3250/11272] Time 0.724 (0.777) Data 0.002 (0.003) Loss 1.6148 (1.6245) Prec@1 52.500 (56.284) Prec@5 86.250 (84.713) Epoch: [79][3260/11272] Time 0.804 (0.777) Data 0.001 (0.003) Loss 1.2280 (1.6243) Prec@1 65.000 (56.291) Prec@5 90.625 (84.718) Epoch: [79][3270/11272] Time 0.832 (0.777) Data 0.002 (0.003) Loss 1.5642 (1.6240) Prec@1 59.375 (56.292) Prec@5 87.500 (84.722) Epoch: [79][3280/11272] Time 0.732 (0.777) Data 0.002 (0.003) Loss 1.8567 (1.6244) Prec@1 47.500 (56.287) Prec@5 81.875 (84.717) Epoch: [79][3290/11272] Time 0.715 (0.777) Data 0.002 (0.003) Loss 1.6100 (1.6245) Prec@1 52.500 (56.286) Prec@5 87.500 (84.716) Epoch: [79][3300/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.4535 (1.6243) Prec@1 61.875 (56.294) Prec@5 86.250 (84.720) Epoch: [79][3310/11272] Time 0.705 (0.777) Data 0.003 (0.003) Loss 1.8264 (1.6244) Prec@1 45.000 (56.287) Prec@5 83.750 (84.720) Epoch: [79][3320/11272] Time 0.748 (0.777) Data 0.002 (0.003) Loss 1.5228 (1.6243) Prec@1 60.000 (56.293) Prec@5 86.250 (84.721) Epoch: [79][3330/11272] Time 0.814 (0.777) Data 0.001 (0.003) Loss 1.5482 (1.6245) Prec@1 60.000 (56.288) Prec@5 86.250 (84.718) Epoch: [79][3340/11272] Time 0.795 (0.777) Data 0.001 (0.003) Loss 1.5896 (1.6244) Prec@1 58.125 (56.294) Prec@5 83.125 (84.719) Epoch: [79][3350/11272] Time 0.718 (0.777) Data 0.002 (0.003) Loss 1.6218 (1.6243) Prec@1 56.250 (56.291) Prec@5 84.375 (84.721) Epoch: [79][3360/11272] Time 0.723 (0.777) Data 0.002 (0.003) Loss 1.7551 (1.6245) Prec@1 50.000 (56.288) Prec@5 83.750 (84.720) Epoch: [79][3370/11272] Time 0.818 (0.777) Data 0.001 (0.003) Loss 1.5846 (1.6243) Prec@1 58.750 (56.293) Prec@5 82.500 (84.725) Epoch: [79][3380/11272] Time 0.816 (0.777) Data 0.001 (0.003) Loss 1.7799 (1.6245) Prec@1 59.375 (56.291) Prec@5 79.375 (84.724) Epoch: [79][3390/11272] Time 0.742 (0.777) Data 0.002 (0.003) Loss 1.6431 (1.6247) Prec@1 56.875 (56.287) Prec@5 88.125 (84.722) Epoch: [79][3400/11272] Time 0.714 (0.777) Data 0.002 (0.003) Loss 1.5202 (1.6248) Prec@1 58.125 (56.283) Prec@5 86.250 (84.719) Epoch: [79][3410/11272] Time 0.816 (0.777) Data 0.001 (0.003) Loss 1.3170 (1.6249) Prec@1 66.250 (56.282) Prec@5 91.250 (84.717) Epoch: [79][3420/11272] Time 0.815 (0.777) Data 0.001 (0.003) Loss 1.4515 (1.6248) Prec@1 58.125 (56.282) Prec@5 86.250 (84.718) Epoch: [79][3430/11272] Time 0.711 (0.777) Data 0.001 (0.003) Loss 1.5395 (1.6247) Prec@1 56.875 (56.284) Prec@5 85.625 (84.718) Epoch: [79][3440/11272] Time 0.844 (0.777) Data 0.001 (0.003) Loss 1.5189 (1.6248) Prec@1 58.750 (56.283) Prec@5 84.375 (84.715) Epoch: [79][3450/11272] Time 0.806 (0.777) Data 0.002 (0.003) Loss 1.5468 (1.6247) Prec@1 56.250 (56.285) Prec@5 84.375 (84.716) Epoch: [79][3460/11272] Time 0.749 (0.777) Data 0.001 (0.003) Loss 1.3623 (1.6246) Prec@1 63.125 (56.288) Prec@5 89.375 (84.717) Epoch: [79][3470/11272] Time 0.694 (0.777) Data 0.001 (0.003) Loss 1.6610 (1.6247) Prec@1 56.875 (56.291) Prec@5 83.750 (84.715) Epoch: [79][3480/11272] Time 0.841 (0.777) Data 0.001 (0.003) Loss 1.7712 (1.6246) Prec@1 55.000 (56.293) Prec@5 82.500 (84.716) Epoch: [79][3490/11272] Time 0.811 (0.777) Data 0.002 (0.003) Loss 1.5540 (1.6244) Prec@1 55.625 (56.293) Prec@5 86.250 (84.720) Epoch: [79][3500/11272] Time 0.719 (0.777) Data 0.002 (0.003) Loss 1.5385 (1.6245) Prec@1 61.250 (56.295) Prec@5 83.750 (84.717) Epoch: [79][3510/11272] Time 0.732 (0.777) Data 0.002 (0.003) Loss 1.5817 (1.6246) Prec@1 57.500 (56.292) Prec@5 81.250 (84.714) Epoch: [79][3520/11272] Time 0.803 (0.777) Data 0.001 (0.003) Loss 1.5415 (1.6246) Prec@1 58.125 (56.292) Prec@5 83.750 (84.712) Epoch: [79][3530/11272] Time 0.799 (0.777) Data 0.001 (0.003) Loss 1.6969 (1.6247) Prec@1 51.250 (56.294) Prec@5 81.250 (84.709) Epoch: [79][3540/11272] Time 0.719 (0.777) Data 0.001 (0.003) Loss 1.6828 (1.6247) Prec@1 56.875 (56.294) Prec@5 85.000 (84.709) Epoch: [79][3550/11272] Time 0.716 (0.777) Data 0.002 (0.003) Loss 1.5698 (1.6245) Prec@1 62.500 (56.306) Prec@5 84.375 (84.709) Epoch: [79][3560/11272] Time 0.825 (0.777) Data 0.002 (0.003) Loss 1.4898 (1.6244) Prec@1 58.750 (56.307) Prec@5 84.375 (84.710) Epoch: [79][3570/11272] Time 0.857 (0.777) Data 0.002 (0.003) Loss 1.3877 (1.6245) Prec@1 61.875 (56.303) Prec@5 89.375 (84.707) Epoch: [79][3580/11272] Time 0.709 (0.777) Data 0.002 (0.003) Loss 1.8258 (1.6247) Prec@1 53.125 (56.299) Prec@5 78.750 (84.703) Epoch: [79][3590/11272] Time 0.883 (0.777) Data 0.001 (0.003) Loss 1.5803 (1.6247) Prec@1 61.250 (56.299) Prec@5 85.625 (84.703) Epoch: [79][3600/11272] Time 0.815 (0.777) Data 0.001 (0.003) Loss 1.6405 (1.6245) Prec@1 59.375 (56.299) Prec@5 85.000 (84.704) Epoch: [79][3610/11272] Time 0.717 (0.777) Data 0.001 (0.003) Loss 1.5208 (1.6245) Prec@1 56.250 (56.301) Prec@5 88.125 (84.704) Epoch: [79][3620/11272] Time 0.730 (0.777) Data 0.001 (0.003) Loss 1.3994 (1.6244) Prec@1 60.000 (56.304) Prec@5 90.625 (84.706) Epoch: [79][3630/11272] Time 0.889 (0.777) Data 0.002 (0.003) Loss 1.8679 (1.6245) Prec@1 50.000 (56.303) Prec@5 77.500 (84.703) Epoch: [79][3640/11272] Time 0.801 (0.777) Data 0.002 (0.003) Loss 1.7218 (1.6244) Prec@1 49.375 (56.299) Prec@5 83.750 (84.707) Epoch: [79][3650/11272] Time 0.717 (0.777) Data 0.001 (0.003) Loss 1.3690 (1.6243) Prec@1 63.750 (56.301) Prec@5 91.875 (84.708) Epoch: [79][3660/11272] Time 0.728 (0.777) Data 0.002 (0.003) Loss 1.8554 (1.6244) Prec@1 51.250 (56.301) Prec@5 82.500 (84.712) Epoch: [79][3670/11272] Time 0.816 (0.777) Data 0.002 (0.003) Loss 1.7902 (1.6243) Prec@1 52.500 (56.304) Prec@5 85.625 (84.715) Epoch: [79][3680/11272] Time 0.807 (0.777) Data 0.001 (0.003) Loss 1.5159 (1.6243) Prec@1 61.250 (56.304) Prec@5 85.625 (84.712) Epoch: [79][3690/11272] Time 0.728 (0.777) Data 0.001 (0.003) Loss 1.5063 (1.6242) Prec@1 56.250 (56.300) Prec@5 85.625 (84.714) Epoch: [79][3700/11272] Time 0.717 (0.777) Data 0.002 (0.003) Loss 1.5881 (1.6243) Prec@1 59.375 (56.300) Prec@5 89.375 (84.715) Epoch: [79][3710/11272] Time 0.819 (0.777) Data 0.001 (0.003) Loss 1.4996 (1.6243) Prec@1 56.250 (56.304) Prec@5 85.625 (84.715) Epoch: [79][3720/11272] Time 0.705 (0.777) Data 0.001 (0.003) Loss 1.5912 (1.6244) Prec@1 55.000 (56.297) Prec@5 85.625 (84.713) Epoch: [79][3730/11272] Time 0.721 (0.777) Data 0.001 (0.003) Loss 1.5832 (1.6245) Prec@1 56.875 (56.297) Prec@5 84.375 (84.709) Epoch: [79][3740/11272] Time 0.844 (0.777) Data 0.001 (0.003) Loss 1.7800 (1.6247) Prec@1 53.125 (56.295) Prec@5 81.250 (84.705) Epoch: [79][3750/11272] Time 0.857 (0.777) Data 0.002 (0.003) Loss 1.7626 (1.6247) Prec@1 51.875 (56.293) Prec@5 84.375 (84.703) Epoch: [79][3760/11272] Time 0.725 (0.777) Data 0.001 (0.003) Loss 1.6850 (1.6247) Prec@1 50.625 (56.291) Prec@5 83.750 (84.706) Epoch: [79][3770/11272] Time 0.729 (0.777) Data 0.002 (0.003) Loss 1.5454 (1.6249) Prec@1 55.625 (56.284) Prec@5 86.875 (84.703) Epoch: [79][3780/11272] Time 0.833 (0.777) Data 0.002 (0.003) Loss 1.5700 (1.6250) Prec@1 58.125 (56.283) Prec@5 86.875 (84.703) Epoch: [79][3790/11272] Time 0.789 (0.777) Data 0.001 (0.003) Loss 1.5571 (1.6251) Prec@1 56.875 (56.280) Prec@5 83.750 (84.701) Epoch: [79][3800/11272] Time 0.705 (0.777) Data 0.001 (0.003) Loss 1.6216 (1.6249) Prec@1 58.125 (56.287) Prec@5 84.375 (84.703) Epoch: [79][3810/11272] Time 0.706 (0.777) Data 0.002 (0.003) Loss 1.7876 (1.6250) Prec@1 55.625 (56.287) Prec@5 77.500 (84.703) Epoch: [79][3820/11272] Time 0.879 (0.777) Data 0.002 (0.003) Loss 1.4499 (1.6250) Prec@1 58.125 (56.287) Prec@5 88.750 (84.704) Epoch: [79][3830/11272] Time 0.831 (0.777) Data 0.002 (0.003) Loss 1.3830 (1.6249) Prec@1 61.875 (56.289) Prec@5 89.375 (84.708) Epoch: [79][3840/11272] Time 0.740 (0.777) Data 0.002 (0.003) Loss 1.7378 (1.6250) Prec@1 53.125 (56.283) Prec@5 82.500 (84.709) Epoch: [79][3850/11272] Time 0.827 (0.777) Data 0.002 (0.003) Loss 1.6098 (1.6250) Prec@1 50.625 (56.283) Prec@5 89.375 (84.714) Epoch: [79][3860/11272] Time 0.841 (0.777) Data 0.002 (0.003) Loss 1.4909 (1.6250) Prec@1 60.625 (56.282) Prec@5 88.750 (84.713) Epoch: [79][3870/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.6436 (1.6249) Prec@1 58.750 (56.286) Prec@5 85.000 (84.716) Epoch: [79][3880/11272] Time 0.680 (0.777) Data 0.001 (0.003) Loss 1.8522 (1.6249) Prec@1 54.375 (56.285) Prec@5 80.625 (84.716) Epoch: [79][3890/11272] Time 0.823 (0.777) Data 0.002 (0.003) Loss 1.4915 (1.6248) Prec@1 62.500 (56.288) Prec@5 81.875 (84.716) Epoch: [79][3900/11272] Time 0.814 (0.777) Data 0.001 (0.003) Loss 1.6268 (1.6249) Prec@1 55.625 (56.286) Prec@5 85.000 (84.714) Epoch: [79][3910/11272] Time 0.721 (0.777) Data 0.002 (0.003) Loss 1.5952 (1.6248) Prec@1 58.750 (56.290) Prec@5 85.000 (84.715) Epoch: [79][3920/11272] Time 0.786 (0.777) Data 0.002 (0.003) Loss 1.5038 (1.6247) Prec@1 59.375 (56.294) Prec@5 86.250 (84.717) Epoch: [79][3930/11272] Time 0.833 (0.777) Data 0.002 (0.003) Loss 1.7048 (1.6248) Prec@1 56.875 (56.293) Prec@5 78.750 (84.716) Epoch: [79][3940/11272] Time 0.821 (0.777) Data 0.002 (0.003) Loss 1.4518 (1.6246) Prec@1 60.000 (56.298) Prec@5 86.875 (84.717) Epoch: [79][3950/11272] Time 0.713 (0.777) Data 0.002 (0.003) Loss 1.8458 (1.6248) Prec@1 55.000 (56.296) Prec@5 78.750 (84.714) Epoch: [79][3960/11272] Time 0.747 (0.777) Data 0.002 (0.003) Loss 1.6563 (1.6248) Prec@1 55.000 (56.295) Prec@5 81.875 (84.714) Epoch: [79][3970/11272] Time 0.884 (0.777) Data 0.002 (0.003) Loss 1.5379 (1.6248) Prec@1 56.875 (56.294) Prec@5 85.625 (84.714) Epoch: [79][3980/11272] Time 0.798 (0.777) Data 0.004 (0.003) Loss 1.7462 (1.6248) Prec@1 52.500 (56.293) Prec@5 80.625 (84.710) Epoch: [79][3990/11272] Time 0.730 (0.777) Data 0.001 (0.003) Loss 1.7549 (1.6249) Prec@1 55.625 (56.290) Prec@5 80.625 (84.710) Epoch: [79][4000/11272] Time 0.848 (0.777) Data 0.002 (0.003) Loss 1.7128 (1.6249) Prec@1 55.000 (56.294) Prec@5 83.125 (84.707) Epoch: [79][4010/11272] Time 0.796 (0.777) Data 0.002 (0.003) Loss 1.7715 (1.6249) Prec@1 50.625 (56.291) Prec@5 82.500 (84.707) Epoch: [79][4020/11272] Time 0.716 (0.777) Data 0.001 (0.003) Loss 1.7142 (1.6251) Prec@1 53.125 (56.287) Prec@5 81.875 (84.705) Epoch: [79][4030/11272] Time 0.725 (0.777) Data 0.001 (0.003) Loss 1.4683 (1.6249) Prec@1 64.375 (56.291) Prec@5 87.500 (84.709) Epoch: [79][4040/11272] Time 0.806 (0.777) Data 0.001 (0.003) Loss 1.6752 (1.6250) Prec@1 58.750 (56.288) Prec@5 85.000 (84.710) Epoch: [79][4050/11272] Time 0.830 (0.777) Data 0.002 (0.003) Loss 1.4699 (1.6249) Prec@1 60.625 (56.287) Prec@5 88.750 (84.710) Epoch: [79][4060/11272] Time 0.722 (0.777) Data 0.002 (0.002) Loss 1.4086 (1.6249) Prec@1 65.625 (56.289) Prec@5 86.250 (84.711) Epoch: [79][4070/11272] Time 0.719 (0.777) Data 0.001 (0.002) Loss 1.5664 (1.6249) Prec@1 56.875 (56.291) Prec@5 89.375 (84.711) Epoch: [79][4080/11272] Time 0.795 (0.777) Data 0.002 (0.002) Loss 1.7344 (1.6249) Prec@1 53.125 (56.287) Prec@5 85.000 (84.712) Epoch: [79][4090/11272] Time 0.798 (0.777) Data 0.001 (0.002) Loss 1.6956 (1.6249) Prec@1 55.625 (56.287) Prec@5 83.750 (84.712) Epoch: [79][4100/11272] Time 0.740 (0.777) Data 0.002 (0.002) Loss 1.7079 (1.6250) Prec@1 51.875 (56.287) Prec@5 82.500 (84.709) Epoch: [79][4110/11272] Time 0.830 (0.777) Data 0.002 (0.002) Loss 1.5922 (1.6251) Prec@1 62.500 (56.283) Prec@5 83.125 (84.709) Epoch: [79][4120/11272] Time 0.869 (0.777) Data 0.001 (0.002) Loss 1.7120 (1.6251) Prec@1 55.625 (56.287) Prec@5 80.000 (84.707) Epoch: [79][4130/11272] Time 0.698 (0.777) Data 0.001 (0.002) Loss 1.5957 (1.6251) Prec@1 55.625 (56.288) Prec@5 86.875 (84.707) Epoch: [79][4140/11272] Time 0.717 (0.777) Data 0.001 (0.002) Loss 1.6017 (1.6252) Prec@1 56.250 (56.286) Prec@5 84.375 (84.704) Epoch: [79][4150/11272] Time 0.846 (0.777) Data 0.002 (0.002) Loss 1.7278 (1.6252) Prec@1 56.875 (56.285) Prec@5 80.625 (84.702) Epoch: [79][4160/11272] Time 0.802 (0.777) Data 0.001 (0.002) Loss 1.7629 (1.6253) Prec@1 56.875 (56.289) Prec@5 80.000 (84.699) Epoch: [79][4170/11272] Time 0.742 (0.777) Data 0.002 (0.002) Loss 1.6172 (1.6254) Prec@1 52.500 (56.282) Prec@5 83.750 (84.700) Epoch: [79][4180/11272] Time 0.764 (0.777) Data 0.002 (0.002) Loss 1.6529 (1.6254) Prec@1 56.875 (56.282) Prec@5 86.875 (84.699) Epoch: [79][4190/11272] Time 0.845 (0.777) Data 0.002 (0.002) Loss 1.4252 (1.6253) Prec@1 67.500 (56.286) Prec@5 88.125 (84.699) Epoch: [79][4200/11272] Time 0.803 (0.777) Data 0.002 (0.002) Loss 1.5455 (1.6252) Prec@1 57.500 (56.287) Prec@5 88.125 (84.701) Epoch: [79][4210/11272] Time 0.740 (0.777) Data 0.001 (0.002) Loss 1.6759 (1.6252) Prec@1 55.000 (56.286) Prec@5 87.500 (84.702) Epoch: [79][4220/11272] Time 0.720 (0.777) Data 0.002 (0.002) Loss 1.7277 (1.6252) Prec@1 51.250 (56.288) Prec@5 83.125 (84.702) Epoch: [79][4230/11272] Time 0.843 (0.777) Data 0.002 (0.002) Loss 1.6194 (1.6252) Prec@1 55.000 (56.287) Prec@5 86.875 (84.704) Epoch: [79][4240/11272] Time 0.703 (0.777) Data 0.002 (0.002) Loss 1.7988 (1.6253) Prec@1 54.375 (56.286) Prec@5 81.875 (84.703) Epoch: [79][4250/11272] Time 0.722 (0.777) Data 0.002 (0.002) Loss 1.5772 (1.6253) Prec@1 57.500 (56.287) Prec@5 85.000 (84.702) Epoch: [79][4260/11272] Time 0.819 (0.777) Data 0.001 (0.002) Loss 1.6219 (1.6253) Prec@1 57.500 (56.290) Prec@5 86.875 (84.702) Epoch: [79][4270/11272] Time 0.797 (0.777) Data 0.001 (0.002) Loss 1.6275 (1.6253) Prec@1 56.250 (56.287) Prec@5 85.000 (84.703) Epoch: [79][4280/11272] Time 0.715 (0.777) Data 0.002 (0.002) Loss 1.8945 (1.6255) Prec@1 49.375 (56.282) Prec@5 80.625 (84.701) Epoch: [79][4290/11272] Time 0.733 (0.777) Data 0.001 (0.002) Loss 1.5109 (1.6254) Prec@1 61.875 (56.281) Prec@5 83.750 (84.703) Epoch: [79][4300/11272] Time 0.832 (0.777) Data 0.002 (0.002) Loss 1.5980 (1.6256) Prec@1 53.750 (56.276) Prec@5 84.375 (84.700) Epoch: [79][4310/11272] Time 0.838 (0.777) Data 0.001 (0.002) Loss 1.5538 (1.6257) Prec@1 60.625 (56.279) Prec@5 84.375 (84.699) Epoch: [79][4320/11272] Time 0.770 (0.777) Data 0.002 (0.002) Loss 1.6733 (1.6258) Prec@1 56.875 (56.276) Prec@5 83.125 (84.695) Epoch: [79][4330/11272] Time 0.730 (0.777) Data 0.002 (0.002) Loss 1.7634 (1.6259) Prec@1 52.500 (56.276) Prec@5 79.375 (84.694) Epoch: [79][4340/11272] Time 0.828 (0.777) Data 0.002 (0.002) Loss 1.7495 (1.6259) Prec@1 56.250 (56.273) Prec@5 80.000 (84.695) Epoch: [79][4350/11272] Time 0.836 (0.777) Data 0.002 (0.002) Loss 1.7871 (1.6259) Prec@1 53.750 (56.268) Prec@5 81.875 (84.695) Epoch: [79][4360/11272] Time 0.722 (0.777) Data 0.001 (0.002) Loss 1.5989 (1.6260) Prec@1 62.500 (56.269) Prec@5 83.125 (84.691) Epoch: [79][4370/11272] Time 0.839 (0.777) Data 0.001 (0.002) Loss 1.5919 (1.6260) Prec@1 59.375 (56.270) Prec@5 83.125 (84.693) Epoch: [79][4380/11272] Time 0.819 (0.777) Data 0.001 (0.002) Loss 1.5523 (1.6260) Prec@1 55.625 (56.271) Prec@5 86.875 (84.692) Epoch: [79][4390/11272] Time 0.707 (0.777) Data 0.001 (0.002) Loss 1.7143 (1.6261) Prec@1 55.000 (56.269) Prec@5 82.500 (84.691) Epoch: [79][4400/11272] Time 0.702 (0.777) Data 0.002 (0.002) Loss 1.6158 (1.6261) Prec@1 56.875 (56.265) Prec@5 87.500 (84.691) Epoch: [79][4410/11272] Time 0.810 (0.777) Data 0.001 (0.002) Loss 1.4977 (1.6263) Prec@1 59.375 (56.262) Prec@5 85.625 (84.685) Epoch: [79][4420/11272] Time 0.788 (0.777) Data 0.001 (0.002) Loss 1.5469 (1.6264) Prec@1 58.750 (56.263) Prec@5 88.750 (84.686) Epoch: [79][4430/11272] Time 0.731 (0.777) Data 0.002 (0.002) Loss 1.4747 (1.6263) Prec@1 60.625 (56.267) Prec@5 87.500 (84.687) Epoch: [79][4440/11272] Time 0.721 (0.777) Data 0.001 (0.002) Loss 1.6672 (1.6263) Prec@1 52.500 (56.272) Prec@5 86.250 (84.686) Epoch: [79][4450/11272] Time 0.823 (0.777) Data 0.002 (0.002) Loss 1.7333 (1.6264) Prec@1 58.750 (56.270) Prec@5 82.500 (84.685) Epoch: [79][4460/11272] Time 0.811 (0.777) Data 0.001 (0.002) Loss 1.6219 (1.6265) Prec@1 56.250 (56.269) Prec@5 81.875 (84.684) Epoch: [79][4470/11272] Time 0.721 (0.777) Data 0.002 (0.002) Loss 1.4290 (1.6265) Prec@1 57.500 (56.270) Prec@5 87.500 (84.684) Epoch: [79][4480/11272] Time 0.730 (0.777) Data 0.001 (0.002) Loss 1.6564 (1.6265) Prec@1 55.625 (56.273) Prec@5 83.125 (84.683) Epoch: [79][4490/11272] Time 0.829 (0.777) Data 0.002 (0.002) Loss 1.7082 (1.6266) Prec@1 58.750 (56.271) Prec@5 83.125 (84.683) Epoch: [79][4500/11272] Time 0.820 (0.777) Data 0.001 (0.002) Loss 1.7474 (1.6268) Prec@1 52.500 (56.266) Prec@5 81.250 (84.680) Epoch: [79][4510/11272] Time 0.704 (0.777) Data 0.001 (0.002) Loss 1.7561 (1.6268) Prec@1 50.000 (56.264) Prec@5 80.625 (84.678) Epoch: [79][4520/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.8222 (1.6269) Prec@1 46.875 (56.259) Prec@5 81.250 (84.676) Epoch: [79][4530/11272] Time 0.799 (0.777) Data 0.002 (0.002) Loss 1.7911 (1.6270) Prec@1 55.625 (56.258) Prec@5 79.375 (84.678) Epoch: [79][4540/11272] Time 0.762 (0.777) Data 0.002 (0.002) Loss 1.5375 (1.6268) Prec@1 54.375 (56.262) Prec@5 85.000 (84.681) Epoch: [79][4550/11272] Time 0.703 (0.777) Data 0.001 (0.002) Loss 1.7749 (1.6269) Prec@1 52.500 (56.260) Prec@5 81.875 (84.678) Epoch: [79][4560/11272] Time 0.860 (0.777) Data 0.002 (0.002) Loss 1.6782 (1.6270) Prec@1 55.000 (56.255) Prec@5 83.750 (84.678) Epoch: [79][4570/11272] Time 0.846 (0.777) Data 0.002 (0.002) Loss 1.8499 (1.6270) Prec@1 53.750 (56.256) Prec@5 81.875 (84.679) Epoch: [79][4580/11272] Time 0.721 (0.777) Data 0.002 (0.002) Loss 1.8783 (1.6271) Prec@1 47.500 (56.252) Prec@5 80.625 (84.678) Epoch: [79][4590/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.4826 (1.6270) Prec@1 60.625 (56.252) Prec@5 85.000 (84.677) Epoch: [79][4600/11272] Time 0.832 (0.777) Data 0.002 (0.002) Loss 1.5651 (1.6269) Prec@1 59.375 (56.255) Prec@5 83.750 (84.678) Epoch: [79][4610/11272] Time 0.802 (0.777) Data 0.002 (0.002) Loss 1.5927 (1.6269) Prec@1 56.875 (56.255) Prec@5 88.750 (84.679) Epoch: [79][4620/11272] Time 0.717 (0.777) Data 0.002 (0.002) Loss 1.7705 (1.6268) Prec@1 54.375 (56.257) Prec@5 85.000 (84.679) Epoch: [79][4630/11272] Time 0.712 (0.777) Data 0.002 (0.002) Loss 1.7768 (1.6268) Prec@1 50.625 (56.256) Prec@5 80.625 (84.680) Epoch: [79][4640/11272] Time 0.814 (0.777) Data 0.001 (0.002) Loss 1.4579 (1.6267) Prec@1 60.000 (56.260) Prec@5 85.625 (84.678) Epoch: [79][4650/11272] Time 0.717 (0.777) Data 0.002 (0.002) Loss 1.6225 (1.6267) Prec@1 55.000 (56.256) Prec@5 83.750 (84.677) Epoch: [79][4660/11272] Time 0.727 (0.777) Data 0.002 (0.002) Loss 1.6618 (1.6268) Prec@1 53.125 (56.254) Prec@5 86.250 (84.678) Epoch: [79][4670/11272] Time 0.896 (0.777) Data 0.001 (0.002) Loss 1.8266 (1.6271) Prec@1 52.500 (56.247) Prec@5 83.125 (84.676) Epoch: [79][4680/11272] Time 0.778 (0.777) Data 0.001 (0.002) Loss 1.6195 (1.6271) Prec@1 53.750 (56.245) Prec@5 84.375 (84.675) Epoch: [79][4690/11272] Time 0.722 (0.777) Data 0.002 (0.002) Loss 1.3692 (1.6268) Prec@1 66.250 (56.252) Prec@5 88.750 (84.678) Epoch: [79][4700/11272] Time 0.728 (0.777) Data 0.001 (0.002) Loss 1.7447 (1.6268) Prec@1 48.750 (56.253) Prec@5 85.000 (84.681) Epoch: [79][4710/11272] Time 0.817 (0.777) Data 0.002 (0.002) Loss 1.4908 (1.6267) Prec@1 61.875 (56.257) Prec@5 87.500 (84.684) Epoch: [79][4720/11272] Time 0.784 (0.777) Data 0.001 (0.002) Loss 1.7766 (1.6268) Prec@1 51.875 (56.255) Prec@5 82.500 (84.682) Epoch: [79][4730/11272] Time 0.705 (0.777) Data 0.002 (0.002) Loss 1.7301 (1.6270) Prec@1 53.125 (56.248) Prec@5 81.875 (84.681) Epoch: [79][4740/11272] Time 0.716 (0.777) Data 0.002 (0.002) Loss 1.6672 (1.6269) Prec@1 50.625 (56.249) Prec@5 84.375 (84.680) Epoch: [79][4750/11272] Time 0.822 (0.777) Data 0.002 (0.002) Loss 1.6286 (1.6270) Prec@1 52.500 (56.246) Prec@5 84.375 (84.680) Epoch: [79][4760/11272] Time 0.798 (0.777) Data 0.001 (0.002) Loss 1.6833 (1.6270) Prec@1 54.375 (56.244) Prec@5 83.750 (84.680) Epoch: [79][4770/11272] Time 0.724 (0.777) Data 0.001 (0.002) Loss 1.4122 (1.6270) Prec@1 57.500 (56.244) Prec@5 86.250 (84.680) Epoch: [79][4780/11272] Time 0.802 (0.777) Data 0.002 (0.002) Loss 1.7138 (1.6272) Prec@1 56.875 (56.237) Prec@5 84.375 (84.678) Epoch: [79][4790/11272] Time 0.799 (0.777) Data 0.002 (0.002) Loss 1.7955 (1.6273) Prec@1 54.375 (56.235) Prec@5 82.500 (84.680) Epoch: [79][4800/11272] Time 0.712 (0.777) Data 0.001 (0.002) Loss 1.7868 (1.6274) Prec@1 51.875 (56.232) Prec@5 82.500 (84.679) Epoch: [79][4810/11272] Time 0.740 (0.777) Data 0.002 (0.002) Loss 1.8614 (1.6274) Prec@1 48.750 (56.229) Prec@5 80.625 (84.678) Epoch: [79][4820/11272] Time 0.853 (0.777) Data 0.001 (0.002) Loss 1.8228 (1.6274) Prec@1 55.000 (56.233) Prec@5 78.125 (84.679) Epoch: [79][4830/11272] Time 0.887 (0.777) Data 0.001 (0.002) Loss 1.5548 (1.6273) Prec@1 56.250 (56.238) Prec@5 85.625 (84.679) Epoch: [79][4840/11272] Time 0.760 (0.777) Data 0.002 (0.002) Loss 1.5385 (1.6273) Prec@1 57.500 (56.238) Prec@5 86.250 (84.682) Epoch: [79][4850/11272] Time 0.708 (0.777) Data 0.001 (0.002) Loss 1.4447 (1.6272) Prec@1 61.875 (56.240) Prec@5 88.125 (84.684) Epoch: [79][4860/11272] Time 0.842 (0.777) Data 0.002 (0.002) Loss 1.6914 (1.6273) Prec@1 57.500 (56.239) Prec@5 83.750 (84.684) Epoch: [79][4870/11272] Time 0.809 (0.777) Data 0.001 (0.002) Loss 1.3805 (1.6271) Prec@1 62.500 (56.240) Prec@5 90.000 (84.687) Epoch: [79][4880/11272] Time 0.701 (0.777) Data 0.002 (0.002) Loss 1.8034 (1.6271) Prec@1 50.625 (56.243) Prec@5 81.875 (84.684) Epoch: [79][4890/11272] Time 0.719 (0.777) Data 0.002 (0.002) Loss 1.4838 (1.6272) Prec@1 61.250 (56.247) Prec@5 90.625 (84.684) Epoch: [79][4900/11272] Time 0.805 (0.777) Data 0.001 (0.002) Loss 1.6163 (1.6270) Prec@1 54.375 (56.251) Prec@5 86.250 (84.686) Epoch: [79][4910/11272] Time 0.714 (0.777) Data 0.003 (0.002) Loss 1.5237 (1.6269) Prec@1 59.375 (56.252) Prec@5 85.000 (84.687) Epoch: [79][4920/11272] Time 0.714 (0.777) Data 0.001 (0.002) Loss 1.6114 (1.6270) Prec@1 62.500 (56.250) Prec@5 86.250 (84.686) Epoch: [79][4930/11272] Time 0.824 (0.777) Data 0.001 (0.002) Loss 1.8024 (1.6270) Prec@1 46.250 (56.246) Prec@5 81.875 (84.685) Epoch: [79][4940/11272] Time 0.825 (0.777) Data 0.001 (0.002) Loss 1.8131 (1.6270) Prec@1 56.250 (56.249) Prec@5 80.000 (84.685) Epoch: [79][4950/11272] Time 0.715 (0.777) Data 0.002 (0.002) Loss 1.4221 (1.6270) Prec@1 60.000 (56.247) Prec@5 90.000 (84.683) Epoch: [79][4960/11272] Time 0.720 (0.777) Data 0.001 (0.002) Loss 1.4463 (1.6270) Prec@1 62.500 (56.250) Prec@5 85.000 (84.682) Epoch: [79][4970/11272] Time 0.813 (0.777) Data 0.002 (0.002) Loss 1.6883 (1.6270) Prec@1 53.750 (56.247) Prec@5 81.250 (84.681) Epoch: [79][4980/11272] Time 0.802 (0.777) Data 0.001 (0.002) Loss 1.7386 (1.6270) Prec@1 51.250 (56.246) Prec@5 83.750 (84.680) Epoch: [79][4990/11272] Time 0.704 (0.777) Data 0.002 (0.002) Loss 1.4984 (1.6270) Prec@1 57.500 (56.246) Prec@5 87.500 (84.680) Epoch: [79][5000/11272] Time 0.735 (0.777) Data 0.002 (0.002) Loss 1.6254 (1.6270) Prec@1 54.375 (56.244) Prec@5 83.125 (84.678) Epoch: [79][5010/11272] Time 0.811 (0.777) Data 0.001 (0.002) Loss 1.5323 (1.6272) Prec@1 59.375 (56.241) Prec@5 85.000 (84.677) Epoch: [79][5020/11272] Time 0.856 (0.777) Data 0.001 (0.002) Loss 1.6649 (1.6271) Prec@1 50.625 (56.243) Prec@5 81.875 (84.678) Epoch: [79][5030/11272] Time 0.746 (0.777) Data 0.001 (0.002) Loss 1.6937 (1.6270) Prec@1 51.875 (56.241) Prec@5 83.750 (84.679) Epoch: [79][5040/11272] Time 0.875 (0.777) Data 0.002 (0.002) Loss 1.4255 (1.6271) Prec@1 59.375 (56.239) Prec@5 87.500 (84.678) Epoch: [79][5050/11272] Time 0.822 (0.777) Data 0.001 (0.002) Loss 1.5218 (1.6272) Prec@1 62.500 (56.239) Prec@5 86.250 (84.675) Epoch: [79][5060/11272] Time 0.707 (0.777) Data 0.001 (0.002) Loss 1.5536 (1.6272) Prec@1 57.500 (56.239) Prec@5 86.875 (84.675) Epoch: [79][5070/11272] Time 0.709 (0.777) Data 0.002 (0.002) Loss 1.5920 (1.6271) Prec@1 58.750 (56.242) Prec@5 82.500 (84.676) Epoch: [79][5080/11272] Time 0.823 (0.777) Data 0.001 (0.002) Loss 1.7409 (1.6271) Prec@1 55.000 (56.242) Prec@5 83.125 (84.677) Epoch: [79][5090/11272] Time 0.829 (0.777) Data 0.002 (0.002) Loss 1.6543 (1.6272) Prec@1 60.625 (56.241) Prec@5 83.125 (84.675) Epoch: [79][5100/11272] Time 0.702 (0.777) Data 0.001 (0.002) Loss 1.7303 (1.6272) Prec@1 53.750 (56.241) Prec@5 84.375 (84.674) Epoch: [79][5110/11272] Time 0.734 (0.777) Data 0.002 (0.002) Loss 1.5824 (1.6273) Prec@1 57.500 (56.239) Prec@5 86.250 (84.674) Epoch: [79][5120/11272] Time 0.820 (0.777) Data 0.001 (0.002) Loss 1.3910 (1.6273) Prec@1 60.625 (56.239) Prec@5 89.375 (84.675) Epoch: [79][5130/11272] Time 0.823 (0.777) Data 0.002 (0.002) Loss 1.5670 (1.6272) Prec@1 56.875 (56.239) Prec@5 86.250 (84.678) Epoch: [79][5140/11272] Time 0.730 (0.777) Data 0.002 (0.002) Loss 1.5050 (1.6274) Prec@1 60.625 (56.236) Prec@5 86.250 (84.675) Epoch: [79][5150/11272] Time 0.734 (0.777) Data 0.001 (0.002) Loss 1.4941 (1.6274) Prec@1 62.500 (56.239) Prec@5 88.125 (84.676) Epoch: [79][5160/11272] Time 0.811 (0.777) Data 0.001 (0.002) Loss 1.4720 (1.6272) Prec@1 55.625 (56.243) Prec@5 88.125 (84.679) Epoch: [79][5170/11272] Time 0.711 (0.777) Data 0.003 (0.002) Loss 1.6520 (1.6273) Prec@1 55.625 (56.242) Prec@5 83.125 (84.678) Epoch: [79][5180/11272] Time 0.732 (0.777) Data 0.002 (0.002) Loss 1.6217 (1.6272) Prec@1 58.125 (56.243) Prec@5 83.125 (84.677) Epoch: [79][5190/11272] Time 0.830 (0.777) Data 0.002 (0.002) Loss 1.8033 (1.6274) Prec@1 56.875 (56.240) Prec@5 80.625 (84.675) Epoch: [79][5200/11272] Time 0.818 (0.777) Data 0.002 (0.002) Loss 1.6248 (1.6273) Prec@1 61.875 (56.241) Prec@5 82.500 (84.676) Epoch: [79][5210/11272] Time 0.705 (0.777) Data 0.002 (0.002) Loss 1.3950 (1.6272) Prec@1 61.875 (56.242) Prec@5 90.000 (84.680) Epoch: [79][5220/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.7862 (1.6272) Prec@1 51.875 (56.242) Prec@5 81.875 (84.679) Epoch: [79][5230/11272] Time 0.812 (0.777) Data 0.002 (0.002) Loss 1.5889 (1.6273) Prec@1 57.500 (56.242) Prec@5 84.375 (84.678) Epoch: [79][5240/11272] Time 0.847 (0.777) Data 0.002 (0.002) Loss 1.7013 (1.6272) Prec@1 53.125 (56.244) Prec@5 86.875 (84.679) Epoch: [79][5250/11272] Time 0.706 (0.777) Data 0.001 (0.002) Loss 1.6869 (1.6273) Prec@1 52.500 (56.242) Prec@5 81.875 (84.678) Epoch: [79][5260/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.4965 (1.6272) Prec@1 58.125 (56.243) Prec@5 85.625 (84.678) Epoch: [79][5270/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.7526 (1.6274) Prec@1 56.875 (56.241) Prec@5 80.000 (84.677) Epoch: [79][5280/11272] Time 0.896 (0.776) Data 0.002 (0.002) Loss 1.6017 (1.6273) Prec@1 52.500 (56.243) Prec@5 85.000 (84.678) Epoch: [79][5290/11272] Time 0.705 (0.776) Data 0.002 (0.002) Loss 1.6597 (1.6273) Prec@1 54.375 (56.244) Prec@5 81.875 (84.677) Epoch: [79][5300/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.6557 (1.6272) Prec@1 53.125 (56.245) Prec@5 85.000 (84.677) Epoch: [79][5310/11272] Time 0.817 (0.776) Data 0.002 (0.002) Loss 1.5889 (1.6273) Prec@1 53.750 (56.241) Prec@5 85.625 (84.679) Epoch: [79][5320/11272] Time 0.746 (0.776) Data 0.001 (0.002) Loss 1.4616 (1.6272) Prec@1 62.500 (56.242) Prec@5 87.500 (84.679) Epoch: [79][5330/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.4241 (1.6272) Prec@1 61.250 (56.240) Prec@5 87.500 (84.679) Epoch: [79][5340/11272] Time 0.858 (0.776) Data 0.002 (0.002) Loss 1.7070 (1.6273) Prec@1 53.750 (56.239) Prec@5 81.250 (84.679) Epoch: [79][5350/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.5026 (1.6274) Prec@1 60.000 (56.236) Prec@5 88.125 (84.677) Epoch: [79][5360/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.5321 (1.6274) Prec@1 56.250 (56.233) Prec@5 88.125 (84.678) Epoch: [79][5370/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.4288 (1.6273) Prec@1 61.250 (56.234) Prec@5 89.375 (84.680) Epoch: [79][5380/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.5863 (1.6272) Prec@1 58.125 (56.238) Prec@5 86.250 (84.681) Epoch: [79][5390/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.7577 (1.6273) Prec@1 53.750 (56.235) Prec@5 83.125 (84.681) Epoch: [79][5400/11272] Time 0.755 (0.776) Data 0.002 (0.002) Loss 1.8202 (1.6272) Prec@1 55.000 (56.236) Prec@5 78.750 (84.680) Epoch: [79][5410/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.5166 (1.6271) Prec@1 61.875 (56.240) Prec@5 87.500 (84.681) Epoch: [79][5420/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.7438 (1.6272) Prec@1 53.125 (56.239) Prec@5 79.375 (84.679) Epoch: [79][5430/11272] Time 0.792 (0.776) Data 0.002 (0.002) Loss 1.6855 (1.6271) Prec@1 56.875 (56.238) Prec@5 83.750 (84.679) Epoch: [79][5440/11272] Time 0.760 (0.776) Data 0.003 (0.002) Loss 1.4923 (1.6270) Prec@1 60.625 (56.242) Prec@5 86.250 (84.682) Epoch: [79][5450/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5927 (1.6271) Prec@1 57.500 (56.242) Prec@5 85.000 (84.678) Epoch: [79][5460/11272] Time 0.864 (0.776) Data 0.002 (0.002) Loss 1.4637 (1.6271) Prec@1 61.250 (56.246) Prec@5 85.000 (84.678) Epoch: [79][5470/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.6341 (1.6272) Prec@1 57.500 (56.242) Prec@5 83.125 (84.675) Epoch: [79][5480/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.8093 (1.6273) Prec@1 53.125 (56.238) Prec@5 81.250 (84.676) Epoch: [79][5490/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6892 (1.6274) Prec@1 54.375 (56.232) Prec@5 84.375 (84.677) Epoch: [79][5500/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.6110 (1.6275) Prec@1 56.250 (56.226) Prec@5 85.000 (84.678) Epoch: [79][5510/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.5401 (1.6275) Prec@1 60.625 (56.227) Prec@5 83.125 (84.679) Epoch: [79][5520/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.8083 (1.6276) Prec@1 51.875 (56.222) Prec@5 83.125 (84.679) Epoch: [79][5530/11272] Time 0.792 (0.776) Data 0.001 (0.002) Loss 1.7057 (1.6277) Prec@1 56.250 (56.220) Prec@5 84.375 (84.679) Epoch: [79][5540/11272] Time 0.852 (0.776) Data 0.001 (0.002) Loss 1.7017 (1.6277) Prec@1 53.750 (56.221) Prec@5 84.375 (84.679) Epoch: [79][5550/11272] Time 0.732 (0.776) Data 0.002 (0.002) Loss 1.5847 (1.6276) Prec@1 58.125 (56.223) Prec@5 85.000 (84.681) Epoch: [79][5560/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.7021 (1.6276) Prec@1 50.000 (56.224) Prec@5 85.625 (84.680) Epoch: [79][5570/11272] Time 0.844 (0.776) Data 0.001 (0.002) Loss 1.6062 (1.6275) Prec@1 51.875 (56.225) Prec@5 84.375 (84.682) Epoch: [79][5580/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.4486 (1.6276) Prec@1 58.750 (56.224) Prec@5 88.125 (84.683) Epoch: [79][5590/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.6763 (1.6275) Prec@1 49.375 (56.224) Prec@5 83.125 (84.682) Epoch: [79][5600/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.5664 (1.6276) Prec@1 57.500 (56.223) Prec@5 85.000 (84.681) Epoch: [79][5610/11272] Time 0.891 (0.776) Data 0.002 (0.002) Loss 1.6852 (1.6277) Prec@1 53.750 (56.220) Prec@5 78.125 (84.677) Epoch: [79][5620/11272] Time 0.738 (0.776) Data 0.002 (0.002) Loss 1.6222 (1.6278) Prec@1 52.500 (56.216) Prec@5 81.250 (84.676) Epoch: [79][5630/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.8429 (1.6280) Prec@1 53.750 (56.211) Prec@5 78.125 (84.673) Epoch: [79][5640/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.5170 (1.6280) Prec@1 58.125 (56.213) Prec@5 86.250 (84.672) Epoch: [79][5650/11272] Time 0.794 (0.776) Data 0.001 (0.002) Loss 1.6122 (1.6280) Prec@1 57.500 (56.213) Prec@5 83.125 (84.671) Epoch: [79][5660/11272] Time 0.701 (0.776) Data 0.002 (0.002) Loss 1.5603 (1.6280) Prec@1 57.500 (56.212) Prec@5 85.625 (84.671) Epoch: [79][5670/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.7963 (1.6280) Prec@1 50.625 (56.210) Prec@5 80.625 (84.671) Epoch: [79][5680/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.5459 (1.6281) Prec@1 55.625 (56.208) Prec@5 85.000 (84.669) Epoch: [79][5690/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.5315 (1.6281) Prec@1 61.875 (56.207) Prec@5 82.500 (84.671) Epoch: [79][5700/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.5413 (1.6280) Prec@1 58.125 (56.208) Prec@5 84.375 (84.672) Epoch: [79][5710/11272] Time 0.791 (0.776) Data 0.001 (0.002) Loss 1.7757 (1.6281) Prec@1 55.625 (56.206) Prec@5 80.625 (84.669) Epoch: [79][5720/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7166 (1.6282) Prec@1 55.000 (56.203) Prec@5 83.750 (84.668) Epoch: [79][5730/11272] Time 0.765 (0.776) Data 0.001 (0.002) Loss 1.6825 (1.6282) Prec@1 53.750 (56.202) Prec@5 81.250 (84.669) Epoch: [79][5740/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.5817 (1.6282) Prec@1 60.000 (56.203) Prec@5 84.375 (84.668) Epoch: [79][5750/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.6401 (1.6281) Prec@1 60.625 (56.207) Prec@5 83.750 (84.670) Epoch: [79][5760/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.5500 (1.6280) Prec@1 58.750 (56.210) Prec@5 83.750 (84.671) Epoch: [79][5770/11272] Time 0.741 (0.776) Data 0.001 (0.002) Loss 1.5379 (1.6281) Prec@1 55.625 (56.207) Prec@5 85.625 (84.671) Epoch: [79][5780/11272] Time 0.748 (0.776) Data 0.001 (0.002) Loss 1.5964 (1.6282) Prec@1 59.375 (56.206) Prec@5 87.500 (84.670) Epoch: [79][5790/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.3519 (1.6280) Prec@1 55.625 (56.210) Prec@5 90.000 (84.673) Epoch: [79][5800/11272] Time 0.787 (0.776) Data 0.001 (0.002) Loss 1.5944 (1.6281) Prec@1 59.375 (56.209) Prec@5 85.625 (84.670) Epoch: [79][5810/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.8305 (1.6282) Prec@1 48.750 (56.207) Prec@5 83.750 (84.669) Epoch: [79][5820/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.7643 (1.6282) Prec@1 53.750 (56.205) Prec@5 83.125 (84.669) Epoch: [79][5830/11272] Time 0.853 (0.776) Data 0.002 (0.002) Loss 1.6290 (1.6283) Prec@1 58.125 (56.201) Prec@5 85.000 (84.668) Epoch: [79][5840/11272] Time 0.723 (0.776) Data 0.003 (0.002) Loss 1.8955 (1.6284) Prec@1 50.000 (56.200) Prec@5 80.000 (84.666) Epoch: [79][5850/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.5702 (1.6283) Prec@1 56.250 (56.200) Prec@5 88.125 (84.669) Epoch: [79][5860/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.6404 (1.6282) Prec@1 55.000 (56.203) Prec@5 87.500 (84.671) Epoch: [79][5870/11272] Time 0.877 (0.776) Data 0.002 (0.002) Loss 1.6058 (1.6282) Prec@1 55.625 (56.202) Prec@5 85.000 (84.671) Epoch: [79][5880/11272] Time 0.686 (0.776) Data 0.001 (0.002) Loss 1.7188 (1.6282) Prec@1 50.625 (56.199) Prec@5 84.375 (84.672) Epoch: [79][5890/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6943 (1.6282) Prec@1 56.250 (56.199) Prec@5 84.375 (84.673) Epoch: [79][5900/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.8847 (1.6282) Prec@1 53.750 (56.198) Prec@5 77.500 (84.672) Epoch: [79][5910/11272] Time 0.796 (0.776) Data 0.001 (0.002) Loss 1.5962 (1.6282) Prec@1 58.125 (56.198) Prec@5 87.500 (84.671) Epoch: [79][5920/11272] Time 0.732 (0.776) Data 0.002 (0.002) Loss 1.9256 (1.6283) Prec@1 52.500 (56.195) Prec@5 75.625 (84.669) Epoch: [79][5930/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.8518 (1.6284) Prec@1 48.125 (56.193) Prec@5 83.750 (84.668) Epoch: [79][5940/11272] Time 0.853 (0.776) Data 0.001 (0.002) Loss 1.5213 (1.6283) Prec@1 55.625 (56.195) Prec@5 87.500 (84.669) Epoch: [79][5950/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.6060 (1.6284) Prec@1 58.750 (56.196) Prec@5 81.875 (84.668) Epoch: [79][5960/11272] Time 0.742 (0.776) Data 0.002 (0.002) Loss 1.5813 (1.6284) Prec@1 56.250 (56.195) Prec@5 83.750 (84.666) Epoch: [79][5970/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.5928 (1.6284) Prec@1 63.125 (56.198) Prec@5 86.250 (84.666) Epoch: [79][5980/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.5582 (1.6283) Prec@1 55.000 (56.197) Prec@5 86.875 (84.666) Epoch: [79][5990/11272] Time 0.742 (0.776) Data 0.002 (0.002) Loss 1.4311 (1.6282) Prec@1 60.625 (56.199) Prec@5 84.375 (84.666) Epoch: [79][6000/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.8487 (1.6283) Prec@1 53.750 (56.196) Prec@5 79.375 (84.664) Epoch: [79][6010/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.7551 (1.6283) Prec@1 50.625 (56.195) Prec@5 84.375 (84.664) Epoch: [79][6020/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.8505 (1.6284) Prec@1 50.625 (56.195) Prec@5 78.750 (84.662) Epoch: [79][6030/11272] Time 0.738 (0.776) Data 0.002 (0.002) Loss 1.7220 (1.6285) Prec@1 53.125 (56.191) Prec@5 86.250 (84.662) Epoch: [79][6040/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.5491 (1.6285) Prec@1 56.250 (56.191) Prec@5 86.875 (84.663) Epoch: [79][6050/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.8429 (1.6285) Prec@1 50.000 (56.192) Prec@5 78.750 (84.664) Epoch: [79][6060/11272] Time 0.819 (0.776) Data 0.002 (0.002) Loss 1.5618 (1.6285) Prec@1 55.625 (56.191) Prec@5 86.875 (84.665) Epoch: [79][6070/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.9254 (1.6286) Prec@1 47.500 (56.188) Prec@5 78.125 (84.663) Epoch: [79][6080/11272] Time 0.703 (0.776) Data 0.002 (0.002) Loss 1.4699 (1.6285) Prec@1 58.125 (56.189) Prec@5 90.000 (84.665) Epoch: [79][6090/11272] Time 0.812 (0.776) Data 0.002 (0.002) Loss 1.6821 (1.6285) Prec@1 56.250 (56.192) Prec@5 82.500 (84.665) Epoch: [79][6100/11272] Time 0.703 (0.776) Data 0.003 (0.002) Loss 1.7136 (1.6285) Prec@1 57.500 (56.195) Prec@5 84.375 (84.666) Epoch: [79][6110/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.6487 (1.6284) Prec@1 58.125 (56.193) Prec@5 89.375 (84.668) Epoch: [79][6120/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.4547 (1.6283) Prec@1 58.125 (56.194) Prec@5 89.375 (84.670) Epoch: [79][6130/11272] Time 0.847 (0.776) Data 0.002 (0.002) Loss 1.6209 (1.6284) Prec@1 58.125 (56.195) Prec@5 81.875 (84.668) Epoch: [79][6140/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.5282 (1.6284) Prec@1 53.750 (56.194) Prec@5 85.625 (84.669) Epoch: [79][6150/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.6530 (1.6284) Prec@1 56.250 (56.194) Prec@5 83.125 (84.670) Epoch: [79][6160/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.5222 (1.6283) Prec@1 55.625 (56.192) Prec@5 91.875 (84.672) Epoch: [79][6170/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.7370 (1.6283) Prec@1 56.250 (56.194) Prec@5 80.625 (84.672) Epoch: [79][6180/11272] Time 0.734 (0.776) Data 0.002 (0.002) Loss 1.6768 (1.6284) Prec@1 53.750 (56.192) Prec@5 86.250 (84.672) Epoch: [79][6190/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.6488 (1.6283) Prec@1 51.250 (56.192) Prec@5 85.000 (84.673) Epoch: [79][6200/11272] Time 0.800 (0.776) Data 0.001 (0.002) Loss 1.5872 (1.6283) Prec@1 56.875 (56.194) Prec@5 85.000 (84.673) Epoch: [79][6210/11272] Time 0.789 (0.776) Data 0.001 (0.002) Loss 1.5521 (1.6283) Prec@1 58.125 (56.195) Prec@5 87.500 (84.675) Epoch: [79][6220/11272] Time 0.739 (0.776) Data 0.002 (0.002) Loss 1.4374 (1.6282) Prec@1 63.125 (56.196) Prec@5 88.750 (84.676) Epoch: [79][6230/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7854 (1.6282) Prec@1 55.000 (56.195) Prec@5 81.250 (84.676) Epoch: [79][6240/11272] Time 0.805 (0.776) Data 0.002 (0.002) Loss 1.6322 (1.6282) Prec@1 60.000 (56.195) Prec@5 84.375 (84.676) Epoch: [79][6250/11272] Time 0.755 (0.776) Data 0.002 (0.002) Loss 1.4725 (1.6282) Prec@1 62.500 (56.199) Prec@5 88.125 (84.677) Epoch: [79][6260/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.6371 (1.6282) Prec@1 55.000 (56.197) Prec@5 87.500 (84.677) Epoch: [79][6270/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.6701 (1.6282) Prec@1 59.375 (56.199) Prec@5 83.750 (84.677) Epoch: [79][6280/11272] Time 0.873 (0.776) Data 0.002 (0.002) Loss 1.6239 (1.6281) Prec@1 51.250 (56.200) Prec@5 85.000 (84.678) Epoch: [79][6290/11272] Time 0.702 (0.776) Data 0.001 (0.002) Loss 1.7819 (1.6281) Prec@1 55.625 (56.201) Prec@5 82.500 (84.678) Epoch: [79][6300/11272] Time 0.722 (0.776) Data 0.002 (0.002) Loss 1.9324 (1.6282) Prec@1 51.875 (56.197) Prec@5 81.250 (84.677) Epoch: [79][6310/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.5240 (1.6282) Prec@1 56.875 (56.196) Prec@5 85.000 (84.678) Epoch: [79][6320/11272] Time 0.811 (0.776) Data 0.001 (0.002) Loss 1.5709 (1.6282) Prec@1 53.750 (56.196) Prec@5 86.875 (84.675) Epoch: [79][6330/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7712 (1.6284) Prec@1 49.375 (56.190) Prec@5 81.875 (84.673) Epoch: [79][6340/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.7384 (1.6284) Prec@1 47.500 (56.189) Prec@5 86.875 (84.675) Epoch: [79][6350/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.4446 (1.6284) Prec@1 60.000 (56.190) Prec@5 88.750 (84.675) Epoch: [79][6360/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.5461 (1.6284) Prec@1 57.500 (56.188) Prec@5 89.375 (84.675) Epoch: [79][6370/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.9449 (1.6285) Prec@1 50.000 (56.186) Prec@5 78.125 (84.675) Epoch: [79][6380/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6108 (1.6286) Prec@1 57.500 (56.182) Prec@5 88.750 (84.673) Epoch: [79][6390/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.6811 (1.6286) Prec@1 50.625 (56.180) Prec@5 85.000 (84.674) Epoch: [79][6400/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6662 (1.6286) Prec@1 53.750 (56.179) Prec@5 85.625 (84.672) Epoch: [79][6410/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5917 (1.6286) Prec@1 56.250 (56.181) Prec@5 86.250 (84.671) Epoch: [79][6420/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.8557 (1.6288) Prec@1 55.625 (56.178) Prec@5 78.750 (84.669) Epoch: [79][6430/11272] Time 0.779 (0.776) Data 0.001 (0.002) Loss 1.6919 (1.6287) Prec@1 52.500 (56.178) Prec@5 84.375 (84.669) Epoch: [79][6440/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.4953 (1.6288) Prec@1 61.250 (56.179) Prec@5 83.125 (84.666) Epoch: [79][6450/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.6782 (1.6288) Prec@1 56.875 (56.180) Prec@5 81.250 (84.667) Epoch: [79][6460/11272] Time 0.802 (0.776) Data 0.001 (0.002) Loss 1.5832 (1.6289) Prec@1 55.000 (56.178) Prec@5 90.625 (84.666) Epoch: [79][6470/11272] Time 0.819 (0.776) Data 0.002 (0.002) Loss 1.4502 (1.6288) Prec@1 57.500 (56.180) Prec@5 85.000 (84.668) Epoch: [79][6480/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.5131 (1.6288) Prec@1 61.875 (56.180) Prec@5 85.625 (84.668) Epoch: [79][6490/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.4881 (1.6288) Prec@1 57.500 (56.183) Prec@5 83.750 (84.668) Epoch: [79][6500/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6031 (1.6288) Prec@1 61.250 (56.184) Prec@5 81.250 (84.667) Epoch: [79][6510/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.7439 (1.6289) Prec@1 52.500 (56.181) Prec@5 81.875 (84.665) Epoch: [79][6520/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.5265 (1.6289) Prec@1 55.625 (56.177) Prec@5 86.250 (84.664) Epoch: [79][6530/11272] Time 0.813 (0.776) Data 0.002 (0.002) Loss 1.7143 (1.6290) Prec@1 56.250 (56.176) Prec@5 84.375 (84.663) Epoch: [79][6540/11272] Time 0.807 (0.776) Data 0.002 (0.002) Loss 1.4663 (1.6291) Prec@1 61.250 (56.175) Prec@5 86.250 (84.662) Epoch: [79][6550/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.8065 (1.6292) Prec@1 55.000 (56.173) Prec@5 81.875 (84.661) Epoch: [79][6560/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.6696 (1.6293) Prec@1 58.750 (56.171) Prec@5 81.875 (84.659) Epoch: [79][6570/11272] Time 0.819 (0.776) Data 0.002 (0.002) Loss 1.6527 (1.6293) Prec@1 51.875 (56.172) Prec@5 83.750 (84.658) Epoch: [79][6580/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7145 (1.6293) Prec@1 52.500 (56.170) Prec@5 83.125 (84.659) Epoch: [79][6590/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.6444 (1.6294) Prec@1 59.375 (56.169) Prec@5 82.500 (84.657) Epoch: [79][6600/11272] Time 0.752 (0.776) Data 0.002 (0.002) Loss 1.6326 (1.6294) Prec@1 53.125 (56.167) Prec@5 86.875 (84.656) Epoch: [79][6610/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.7402 (1.6294) Prec@1 54.375 (56.167) Prec@5 83.750 (84.655) Epoch: [79][6620/11272] Time 0.829 (0.776) Data 0.001 (0.002) Loss 1.6453 (1.6294) Prec@1 61.250 (56.166) Prec@5 84.375 (84.655) Epoch: [79][6630/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.5457 (1.6294) Prec@1 49.375 (56.166) Prec@5 88.750 (84.655) Epoch: [79][6640/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.6460 (1.6293) Prec@1 58.750 (56.171) Prec@5 83.750 (84.654) Epoch: [79][6650/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 2.1547 (1.6294) Prec@1 44.375 (56.169) Prec@5 76.250 (84.653) Epoch: [79][6660/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.4336 (1.6293) Prec@1 56.875 (56.170) Prec@5 89.375 (84.655) Epoch: [79][6670/11272] Time 0.753 (0.776) Data 0.002 (0.002) Loss 1.5699 (1.6294) Prec@1 54.375 (56.168) Prec@5 84.375 (84.655) Epoch: [79][6680/11272] Time 0.803 (0.776) Data 0.001 (0.002) Loss 1.7766 (1.6295) Prec@1 55.000 (56.165) Prec@5 80.000 (84.653) Epoch: [79][6690/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.7970 (1.6295) Prec@1 55.000 (56.162) Prec@5 85.625 (84.654) Epoch: [79][6700/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.5320 (1.6295) Prec@1 57.500 (56.162) Prec@5 87.500 (84.654) Epoch: [79][6710/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.6418 (1.6296) Prec@1 53.125 (56.159) Prec@5 84.375 (84.652) Epoch: [79][6720/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.6039 (1.6296) Prec@1 55.625 (56.159) Prec@5 83.750 (84.650) Epoch: [79][6730/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 2.0455 (1.6296) Prec@1 45.625 (56.159) Prec@5 78.750 (84.650) Epoch: [79][6740/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.6093 (1.6296) Prec@1 54.375 (56.160) Prec@5 83.125 (84.651) Epoch: [79][6750/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.7942 (1.6296) Prec@1 56.875 (56.160) Prec@5 81.875 (84.651) Epoch: [79][6760/11272] Time 0.863 (0.776) Data 0.002 (0.002) Loss 1.5520 (1.6296) Prec@1 59.375 (56.160) Prec@5 83.750 (84.653) Epoch: [79][6770/11272] Time 0.739 (0.776) Data 0.003 (0.002) Loss 1.6968 (1.6296) Prec@1 56.875 (56.159) Prec@5 83.125 (84.651) Epoch: [79][6780/11272] Time 0.684 (0.776) Data 0.001 (0.002) Loss 1.7094 (1.6297) Prec@1 47.500 (56.157) Prec@5 82.500 (84.650) Epoch: [79][6790/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.7078 (1.6297) Prec@1 52.500 (56.154) Prec@5 82.500 (84.650) Epoch: [79][6800/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.7704 (1.6298) Prec@1 53.125 (56.150) Prec@5 79.375 (84.648) Epoch: [79][6810/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.4898 (1.6298) Prec@1 58.125 (56.149) Prec@5 82.500 (84.648) Epoch: [79][6820/11272] Time 0.727 (0.776) Data 0.001 (0.002) Loss 1.6660 (1.6298) Prec@1 57.500 (56.148) Prec@5 80.625 (84.647) Epoch: [79][6830/11272] Time 0.816 (0.776) Data 0.002 (0.002) Loss 1.7845 (1.6298) Prec@1 50.000 (56.148) Prec@5 82.500 (84.647) Epoch: [79][6840/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.7780 (1.6299) Prec@1 54.375 (56.146) Prec@5 80.000 (84.646) Epoch: [79][6850/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6898 (1.6299) Prec@1 58.125 (56.148) Prec@5 80.625 (84.646) Epoch: [79][6860/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.5476 (1.6298) Prec@1 60.625 (56.149) Prec@5 86.875 (84.645) Epoch: [79][6870/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.7399 (1.6299) Prec@1 54.375 (56.144) Prec@5 83.125 (84.644) Epoch: [79][6880/11272] Time 0.852 (0.776) Data 0.001 (0.002) Loss 1.7968 (1.6300) Prec@1 53.750 (56.143) Prec@5 81.250 (84.644) Epoch: [79][6890/11272] Time 0.754 (0.776) Data 0.001 (0.002) Loss 1.7404 (1.6300) Prec@1 53.750 (56.145) Prec@5 82.500 (84.643) Epoch: [79][6900/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.6998 (1.6300) Prec@1 55.625 (56.145) Prec@5 84.375 (84.645) Epoch: [79][6910/11272] Time 0.797 (0.776) Data 0.001 (0.002) Loss 1.5871 (1.6301) Prec@1 61.250 (56.141) Prec@5 83.750 (84.642) Epoch: [79][6920/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.6625 (1.6302) Prec@1 51.875 (56.139) Prec@5 82.500 (84.641) Epoch: [79][6930/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.4770 (1.6302) Prec@1 55.000 (56.136) Prec@5 87.500 (84.639) Epoch: [79][6940/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.6775 (1.6303) Prec@1 55.000 (56.135) Prec@5 85.625 (84.640) Epoch: [79][6950/11272] Time 0.781 (0.776) Data 0.001 (0.002) Loss 1.6793 (1.6303) Prec@1 54.375 (56.136) Prec@5 83.750 (84.639) Epoch: [79][6960/11272] Time 0.705 (0.776) Data 0.001 (0.002) Loss 1.8782 (1.6303) Prec@1 53.750 (56.136) Prec@5 79.375 (84.639) Epoch: [79][6970/11272] Time 0.743 (0.776) Data 0.002 (0.002) Loss 1.5327 (1.6304) Prec@1 53.125 (56.133) Prec@5 86.250 (84.636) Epoch: [79][6980/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.8329 (1.6304) Prec@1 54.375 (56.132) Prec@5 80.000 (84.637) Epoch: [79][6990/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.6202 (1.6304) Prec@1 53.750 (56.132) Prec@5 86.875 (84.638) Epoch: [79][7000/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.4420 (1.6304) Prec@1 63.125 (56.135) Prec@5 84.375 (84.637) Epoch: [79][7010/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.7507 (1.6304) Prec@1 52.500 (56.133) Prec@5 84.375 (84.636) Epoch: [79][7020/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.7943 (1.6303) Prec@1 55.000 (56.137) Prec@5 81.875 (84.638) Epoch: [79][7030/11272] Time 0.717 (0.776) Data 0.003 (0.002) Loss 1.5327 (1.6303) Prec@1 58.125 (56.138) Prec@5 86.875 (84.640) Epoch: [79][7040/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.7265 (1.6303) Prec@1 55.000 (56.138) Prec@5 83.125 (84.640) Epoch: [79][7050/11272] Time 0.838 (0.776) Data 0.001 (0.002) Loss 1.7055 (1.6303) Prec@1 55.000 (56.137) Prec@5 85.000 (84.639) Epoch: [79][7060/11272] Time 0.882 (0.776) Data 0.001 (0.002) Loss 1.9183 (1.6303) Prec@1 49.375 (56.137) Prec@5 81.250 (84.641) Epoch: [79][7070/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.4411 (1.6302) Prec@1 60.000 (56.140) Prec@5 88.750 (84.642) Epoch: [79][7080/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.5625 (1.6303) Prec@1 55.625 (56.138) Prec@5 84.375 (84.641) Epoch: [79][7090/11272] Time 0.839 (0.776) Data 0.001 (0.002) Loss 1.4648 (1.6303) Prec@1 60.625 (56.137) Prec@5 85.625 (84.641) Epoch: [79][7100/11272] Time 0.787 (0.776) Data 0.001 (0.002) Loss 1.5560 (1.6303) Prec@1 57.500 (56.137) Prec@5 84.375 (84.641) Epoch: [79][7110/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.4379 (1.6302) Prec@1 58.750 (56.137) Prec@5 88.125 (84.641) Epoch: [79][7120/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.7118 (1.6302) Prec@1 55.000 (56.138) Prec@5 82.500 (84.642) Epoch: [79][7130/11272] Time 0.834 (0.776) Data 0.002 (0.002) Loss 1.5556 (1.6302) Prec@1 57.500 (56.138) Prec@5 84.375 (84.643) Epoch: [79][7140/11272] Time 0.864 (0.776) Data 0.002 (0.002) Loss 1.4387 (1.6302) Prec@1 56.250 (56.137) Prec@5 88.125 (84.645) Epoch: [79][7150/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.5168 (1.6302) Prec@1 59.375 (56.138) Prec@5 83.750 (84.645) Epoch: [79][7160/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.6880 (1.6302) Prec@1 55.625 (56.139) Prec@5 82.500 (84.645) Epoch: [79][7170/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.6046 (1.6302) Prec@1 57.500 (56.141) Prec@5 83.750 (84.646) Epoch: [79][7180/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.8337 (1.6302) Prec@1 53.125 (56.140) Prec@5 82.500 (84.646) Epoch: [79][7190/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6228 (1.6302) Prec@1 58.750 (56.139) Prec@5 84.375 (84.646) Epoch: [79][7200/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.6057 (1.6302) Prec@1 56.875 (56.140) Prec@5 83.125 (84.647) Epoch: [79][7210/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 2.0133 (1.6303) Prec@1 48.125 (56.138) Prec@5 77.500 (84.645) Epoch: [79][7220/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.5158 (1.6303) Prec@1 59.375 (56.139) Prec@5 86.875 (84.643) Epoch: [79][7230/11272] Time 0.694 (0.776) Data 0.001 (0.002) Loss 1.8461 (1.6304) Prec@1 51.250 (56.138) Prec@5 78.750 (84.640) Epoch: [79][7240/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.5528 (1.6304) Prec@1 58.750 (56.135) Prec@5 86.875 (84.639) Epoch: [79][7250/11272] Time 0.862 (0.776) Data 0.002 (0.002) Loss 1.5940 (1.6304) Prec@1 53.750 (56.135) Prec@5 85.000 (84.637) Epoch: [79][7260/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5390 (1.6304) Prec@1 61.250 (56.137) Prec@5 81.875 (84.636) Epoch: [79][7270/11272] Time 0.740 (0.776) Data 0.002 (0.002) Loss 1.7198 (1.6305) Prec@1 53.125 (56.134) Prec@5 85.000 (84.635) Epoch: [79][7280/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.6527 (1.6305) Prec@1 59.375 (56.132) Prec@5 84.375 (84.634) Epoch: [79][7290/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.7250 (1.6305) Prec@1 54.375 (56.134) Prec@5 81.875 (84.635) Epoch: [79][7300/11272] Time 0.748 (0.776) Data 0.002 (0.002) Loss 1.7985 (1.6305) Prec@1 50.000 (56.133) Prec@5 84.375 (84.635) Epoch: [79][7310/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.6405 (1.6305) Prec@1 55.000 (56.133) Prec@5 86.250 (84.636) Epoch: [79][7320/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.4966 (1.6305) Prec@1 57.500 (56.133) Prec@5 85.625 (84.636) Epoch: [79][7330/11272] Time 0.733 (0.776) Data 0.003 (0.002) Loss 1.7908 (1.6305) Prec@1 50.625 (56.133) Prec@5 80.625 (84.635) Epoch: [79][7340/11272] Time 0.705 (0.776) Data 0.002 (0.002) Loss 1.3691 (1.6305) Prec@1 67.500 (56.134) Prec@5 88.125 (84.635) Epoch: [79][7350/11272] Time 0.826 (0.776) Data 0.002 (0.002) Loss 1.7573 (1.6306) Prec@1 54.375 (56.131) Prec@5 85.000 (84.635) Epoch: [79][7360/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.8365 (1.6307) Prec@1 50.000 (56.130) Prec@5 81.875 (84.633) Epoch: [79][7370/11272] Time 0.687 (0.776) Data 0.001 (0.002) Loss 1.6705 (1.6309) Prec@1 56.250 (56.128) Prec@5 85.000 (84.631) Epoch: [79][7380/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.9580 (1.6309) Prec@1 50.000 (56.130) Prec@5 78.750 (84.631) Epoch: [79][7390/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.7422 (1.6310) Prec@1 49.375 (56.126) Prec@5 81.875 (84.630) Epoch: [79][7400/11272] Time 0.851 (0.776) Data 0.001 (0.002) Loss 1.5275 (1.6311) Prec@1 60.000 (56.125) Prec@5 86.875 (84.629) Epoch: [79][7410/11272] Time 0.699 (0.776) Data 0.001 (0.002) Loss 1.7994 (1.6310) Prec@1 50.000 (56.123) Prec@5 80.000 (84.631) Epoch: [79][7420/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7847 (1.6310) Prec@1 48.750 (56.125) Prec@5 86.250 (84.630) Epoch: [79][7430/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.5512 (1.6310) Prec@1 58.750 (56.126) Prec@5 85.000 (84.631) Epoch: [79][7440/11272] Time 0.770 (0.776) Data 0.002 (0.002) Loss 1.6685 (1.6310) Prec@1 58.750 (56.124) Prec@5 83.125 (84.630) Epoch: [79][7450/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.8331 (1.6311) Prec@1 50.000 (56.121) Prec@5 83.750 (84.629) Epoch: [79][7460/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.4995 (1.6311) Prec@1 54.375 (56.122) Prec@5 86.875 (84.630) Epoch: [79][7470/11272] Time 0.841 (0.776) Data 0.002 (0.002) Loss 1.6896 (1.6312) Prec@1 53.750 (56.119) Prec@5 82.500 (84.628) Epoch: [79][7480/11272] Time 0.743 (0.776) Data 0.002 (0.002) Loss 1.7848 (1.6314) Prec@1 55.000 (56.114) Prec@5 81.250 (84.624) Epoch: [79][7490/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.7153 (1.6313) Prec@1 55.625 (56.116) Prec@5 81.875 (84.624) Epoch: [79][7500/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.6023 (1.6315) Prec@1 54.375 (56.115) Prec@5 85.000 (84.622) Epoch: [79][7510/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.5515 (1.6315) Prec@1 53.125 (56.113) Prec@5 88.125 (84.622) Epoch: [79][7520/11272] Time 0.720 (0.776) Data 0.001 (0.002) Loss 1.6896 (1.6315) Prec@1 56.250 (56.110) Prec@5 85.625 (84.622) Epoch: [79][7530/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.7757 (1.6316) Prec@1 51.875 (56.109) Prec@5 83.750 (84.620) Epoch: [79][7540/11272] Time 0.788 (0.776) Data 0.002 (0.002) Loss 1.7795 (1.6316) Prec@1 55.000 (56.109) Prec@5 80.000 (84.618) Epoch: [79][7550/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.4249 (1.6316) Prec@1 61.250 (56.106) Prec@5 88.125 (84.619) Epoch: [79][7560/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.5987 (1.6316) Prec@1 60.000 (56.106) Prec@5 83.125 (84.620) Epoch: [79][7570/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.9162 (1.6317) Prec@1 51.875 (56.106) Prec@5 78.750 (84.619) Epoch: [79][7580/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.6897 (1.6317) Prec@1 52.500 (56.104) Prec@5 82.500 (84.618) Epoch: [79][7590/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.4068 (1.6317) Prec@1 63.750 (56.104) Prec@5 86.250 (84.616) Epoch: [79][7600/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.6072 (1.6317) Prec@1 55.625 (56.105) Prec@5 86.250 (84.617) Epoch: [79][7610/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.4777 (1.6316) Prec@1 59.375 (56.107) Prec@5 87.500 (84.617) Epoch: [79][7620/11272] Time 0.812 (0.776) Data 0.002 (0.002) Loss 1.7830 (1.6318) Prec@1 53.750 (56.103) Prec@5 81.875 (84.614) Epoch: [79][7630/11272] Time 0.765 (0.776) Data 0.002 (0.002) Loss 1.5043 (1.6318) Prec@1 65.000 (56.106) Prec@5 86.250 (84.614) Epoch: [79][7640/11272] Time 0.701 (0.776) Data 0.002 (0.002) Loss 1.6118 (1.6318) Prec@1 53.125 (56.106) Prec@5 84.375 (84.613) Epoch: [79][7650/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.6604 (1.6317) Prec@1 55.625 (56.108) Prec@5 86.250 (84.614) Epoch: [79][7660/11272] Time 0.850 (0.776) Data 0.002 (0.002) Loss 1.7354 (1.6317) Prec@1 52.500 (56.108) Prec@5 83.750 (84.614) Epoch: [79][7670/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6852 (1.6317) Prec@1 58.750 (56.112) Prec@5 81.250 (84.614) Epoch: [79][7680/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.5890 (1.6317) Prec@1 59.375 (56.112) Prec@5 85.000 (84.612) Epoch: [79][7690/11272] Time 0.783 (0.776) Data 0.001 (0.002) Loss 1.6965 (1.6317) Prec@1 50.000 (56.111) Prec@5 82.500 (84.612) Epoch: [79][7700/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.5705 (1.6317) Prec@1 58.125 (56.109) Prec@5 86.875 (84.611) Epoch: [79][7710/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.8153 (1.6318) Prec@1 53.125 (56.109) Prec@5 82.500 (84.610) Epoch: [79][7720/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.6095 (1.6317) Prec@1 59.375 (56.110) Prec@5 83.750 (84.611) Epoch: [79][7730/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.7467 (1.6318) Prec@1 57.500 (56.108) Prec@5 82.500 (84.609) Epoch: [79][7740/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.8873 (1.6319) Prec@1 48.750 (56.109) Prec@5 81.250 (84.608) Epoch: [79][7750/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.6408 (1.6318) Prec@1 56.250 (56.109) Prec@5 84.375 (84.609) Epoch: [79][7760/11272] Time 0.821 (0.776) Data 0.003 (0.002) Loss 1.6195 (1.6318) Prec@1 55.625 (56.109) Prec@5 86.875 (84.610) Epoch: [79][7770/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.8189 (1.6319) Prec@1 56.250 (56.107) Prec@5 80.625 (84.610) Epoch: [79][7780/11272] Time 0.773 (0.776) Data 0.002 (0.002) Loss 1.8061 (1.6319) Prec@1 55.625 (56.106) Prec@5 80.625 (84.608) Epoch: [79][7790/11272] Time 0.738 (0.776) Data 0.002 (0.002) Loss 1.4397 (1.6318) Prec@1 56.250 (56.107) Prec@5 85.000 (84.609) Epoch: [79][7800/11272] Time 0.846 (0.776) Data 0.002 (0.002) Loss 1.8166 (1.6319) Prec@1 52.500 (56.105) Prec@5 82.500 (84.608) Epoch: [79][7810/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.5612 (1.6319) Prec@1 56.875 (56.107) Prec@5 88.125 (84.609) Epoch: [79][7820/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.5164 (1.6320) Prec@1 60.625 (56.107) Prec@5 85.625 (84.607) Epoch: [79][7830/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.7355 (1.6320) Prec@1 53.125 (56.106) Prec@5 81.250 (84.607) Epoch: [79][7840/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.5988 (1.6322) Prec@1 61.875 (56.103) Prec@5 85.625 (84.605) Epoch: [79][7850/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.5133 (1.6322) Prec@1 64.375 (56.105) Prec@5 86.875 (84.603) Epoch: [79][7860/11272] Time 0.685 (0.776) Data 0.001 (0.002) Loss 1.5214 (1.6322) Prec@1 56.875 (56.104) Prec@5 87.500 (84.602) Epoch: [79][7870/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.4384 (1.6322) Prec@1 59.375 (56.104) Prec@5 88.125 (84.602) Epoch: [79][7880/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.4397 (1.6322) Prec@1 61.875 (56.107) Prec@5 86.250 (84.602) Epoch: [79][7890/11272] Time 0.732 (0.776) Data 0.002 (0.002) Loss 1.7206 (1.6322) Prec@1 51.875 (56.104) Prec@5 81.875 (84.604) Epoch: [79][7900/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5465 (1.6322) Prec@1 63.750 (56.106) Prec@5 85.000 (84.604) Epoch: [79][7910/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.7009 (1.6321) Prec@1 57.500 (56.106) Prec@5 82.500 (84.606) Epoch: [79][7920/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.7195 (1.6321) Prec@1 54.375 (56.106) Prec@5 85.625 (84.608) Epoch: [79][7930/11272] Time 0.767 (0.776) Data 0.002 (0.002) Loss 1.7532 (1.6320) Prec@1 49.375 (56.106) Prec@5 86.250 (84.611) Epoch: [79][7940/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6219 (1.6321) Prec@1 54.375 (56.103) Prec@5 87.500 (84.610) Epoch: [79][7950/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.6563 (1.6321) Prec@1 58.125 (56.102) Prec@5 83.750 (84.610) Epoch: [79][7960/11272] Time 0.713 (0.776) Data 0.003 (0.002) Loss 1.6959 (1.6321) Prec@1 56.250 (56.104) Prec@5 82.500 (84.610) Epoch: [79][7970/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.4081 (1.6321) Prec@1 64.375 (56.105) Prec@5 88.125 (84.611) Epoch: [79][7980/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.6216 (1.6320) Prec@1 55.000 (56.106) Prec@5 85.625 (84.611) Epoch: [79][7990/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.5869 (1.6319) Prec@1 57.500 (56.108) Prec@5 86.875 (84.612) Epoch: [79][8000/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7503 (1.6319) Prec@1 57.500 (56.110) Prec@5 81.250 (84.612) Epoch: [79][8010/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.4889 (1.6320) Prec@1 59.375 (56.108) Prec@5 86.250 (84.609) Epoch: [79][8020/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.6061 (1.6320) Prec@1 61.875 (56.111) Prec@5 85.000 (84.609) Epoch: [79][8030/11272] Time 0.857 (0.776) Data 0.002 (0.002) Loss 1.4531 (1.6320) Prec@1 56.875 (56.109) Prec@5 91.250 (84.609) Epoch: [79][8040/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.4389 (1.6320) Prec@1 61.875 (56.112) Prec@5 86.875 (84.610) Epoch: [79][8050/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.8612 (1.6321) Prec@1 50.000 (56.111) Prec@5 81.875 (84.609) Epoch: [79][8060/11272] Time 0.911 (0.776) Data 0.002 (0.002) Loss 1.6828 (1.6321) Prec@1 59.375 (56.111) Prec@5 82.500 (84.608) Epoch: [79][8070/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.4720 (1.6320) Prec@1 58.750 (56.112) Prec@5 87.500 (84.610) Epoch: [79][8080/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.5978 (1.6320) Prec@1 58.125 (56.112) Prec@5 86.875 (84.609) Epoch: [79][8090/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.8420 (1.6320) Prec@1 51.250 (56.111) Prec@5 81.875 (84.610) Epoch: [79][8100/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.5580 (1.6320) Prec@1 57.500 (56.112) Prec@5 85.625 (84.609) Epoch: [79][8110/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.8925 (1.6321) Prec@1 53.125 (56.110) Prec@5 80.000 (84.607) Epoch: [79][8120/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.8240 (1.6322) Prec@1 51.875 (56.106) Prec@5 78.750 (84.606) Epoch: [79][8130/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.5528 (1.6321) Prec@1 57.500 (56.106) Prec@5 88.125 (84.607) Epoch: [79][8140/11272] Time 0.906 (0.776) Data 0.002 (0.002) Loss 1.6312 (1.6322) Prec@1 56.250 (56.105) Prec@5 81.875 (84.604) Epoch: [79][8150/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.6053 (1.6323) Prec@1 60.000 (56.104) Prec@5 85.625 (84.603) Epoch: [79][8160/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.4452 (1.6323) Prec@1 60.625 (56.105) Prec@5 88.750 (84.603) Epoch: [79][8170/11272] Time 0.851 (0.776) Data 0.001 (0.002) Loss 1.7437 (1.6323) Prec@1 51.875 (56.104) Prec@5 82.500 (84.603) Epoch: [79][8180/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.7124 (1.6324) Prec@1 51.875 (56.102) Prec@5 85.625 (84.603) Epoch: [79][8190/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.4629 (1.6324) Prec@1 56.875 (56.102) Prec@5 86.250 (84.603) Epoch: [79][8200/11272] Time 0.737 (0.776) Data 0.002 (0.002) Loss 1.5985 (1.6325) Prec@1 58.125 (56.101) Prec@5 82.500 (84.601) Epoch: [79][8210/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.7091 (1.6324) Prec@1 53.125 (56.103) Prec@5 79.375 (84.601) Epoch: [79][8220/11272] Time 0.778 (0.776) Data 0.001 (0.002) Loss 1.7053 (1.6325) Prec@1 60.625 (56.102) Prec@5 82.500 (84.599) Epoch: [79][8230/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.5012 (1.6324) Prec@1 56.875 (56.102) Prec@5 86.875 (84.602) Epoch: [79][8240/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.6839 (1.6325) Prec@1 54.375 (56.100) Prec@5 83.125 (84.601) Epoch: [79][8250/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.7791 (1.6325) Prec@1 51.875 (56.099) Prec@5 83.125 (84.601) Epoch: [79][8260/11272] Time 0.751 (0.776) Data 0.001 (0.002) Loss 1.3922 (1.6325) Prec@1 61.250 (56.099) Prec@5 86.875 (84.600) Epoch: [79][8270/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6990 (1.6325) Prec@1 58.125 (56.099) Prec@5 82.500 (84.600) Epoch: [79][8280/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.7641 (1.6326) Prec@1 55.625 (56.096) Prec@5 83.125 (84.600) Epoch: [79][8290/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.5809 (1.6326) Prec@1 56.250 (56.095) Prec@5 90.000 (84.599) Epoch: [79][8300/11272] Time 0.742 (0.776) Data 0.001 (0.002) Loss 1.6755 (1.6326) Prec@1 56.250 (56.094) Prec@5 80.625 (84.598) Epoch: [79][8310/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6519 (1.6326) Prec@1 56.875 (56.095) Prec@5 82.500 (84.598) Epoch: [79][8320/11272] Time 0.846 (0.776) Data 0.001 (0.002) Loss 1.4798 (1.6325) Prec@1 61.250 (56.095) Prec@5 86.875 (84.599) Epoch: [79][8330/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.6522 (1.6324) Prec@1 52.500 (56.096) Prec@5 83.750 (84.600) Epoch: [79][8340/11272] Time 0.701 (0.776) Data 0.001 (0.002) Loss 1.8010 (1.6325) Prec@1 54.375 (56.095) Prec@5 81.875 (84.600) Epoch: [79][8350/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7287 (1.6325) Prec@1 53.750 (56.093) Prec@5 82.500 (84.598) Epoch: [79][8360/11272] Time 0.826 (0.776) Data 0.002 (0.002) Loss 1.4125 (1.6325) Prec@1 56.250 (56.094) Prec@5 91.875 (84.599) Epoch: [79][8370/11272] Time 0.757 (0.776) Data 0.002 (0.002) Loss 1.7729 (1.6325) Prec@1 49.375 (56.091) Prec@5 80.625 (84.598) Epoch: [79][8380/11272] Time 0.759 (0.776) Data 0.002 (0.002) Loss 1.4094 (1.6325) Prec@1 62.500 (56.091) Prec@5 88.750 (84.599) Epoch: [79][8390/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.6175 (1.6326) Prec@1 53.750 (56.087) Prec@5 85.000 (84.597) Epoch: [79][8400/11272] Time 0.773 (0.776) Data 0.001 (0.002) Loss 1.5977 (1.6326) Prec@1 50.625 (56.086) Prec@5 88.750 (84.598) Epoch: [79][8410/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7454 (1.6328) Prec@1 51.250 (56.084) Prec@5 79.375 (84.596) Epoch: [79][8420/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.4849 (1.6328) Prec@1 58.750 (56.083) Prec@5 90.000 (84.595) Epoch: [79][8430/11272] Time 0.828 (0.776) Data 0.001 (0.002) Loss 1.5544 (1.6327) Prec@1 55.000 (56.084) Prec@5 85.625 (84.597) Epoch: [79][8440/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.5779 (1.6327) Prec@1 61.250 (56.085) Prec@5 87.500 (84.599) Epoch: [79][8450/11272] Time 0.698 (0.776) Data 0.001 (0.002) Loss 1.5498 (1.6326) Prec@1 56.875 (56.087) Prec@5 85.000 (84.600) Epoch: [79][8460/11272] Time 0.700 (0.776) Data 0.002 (0.002) Loss 1.9997 (1.6327) Prec@1 45.000 (56.085) Prec@5 78.125 (84.599) Epoch: [79][8470/11272] Time 0.800 (0.776) Data 0.002 (0.002) Loss 1.5522 (1.6328) Prec@1 59.375 (56.084) Prec@5 86.250 (84.596) Epoch: [79][8480/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.7407 (1.6328) Prec@1 55.625 (56.084) Prec@5 85.625 (84.597) Epoch: [79][8490/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.7048 (1.6329) Prec@1 60.000 (56.081) Prec@5 82.500 (84.596) Epoch: [79][8500/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.4809 (1.6329) Prec@1 60.000 (56.081) Prec@5 86.250 (84.597) Epoch: [79][8510/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.5062 (1.6329) Prec@1 57.500 (56.081) Prec@5 88.125 (84.597) Epoch: [79][8520/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.6051 (1.6328) Prec@1 57.500 (56.082) Prec@5 84.375 (84.597) Epoch: [79][8530/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.7046 (1.6329) Prec@1 53.750 (56.080) Prec@5 80.625 (84.595) Epoch: [79][8540/11272] Time 0.804 (0.776) Data 0.001 (0.002) Loss 1.6707 (1.6329) Prec@1 53.125 (56.080) Prec@5 83.125 (84.595) Epoch: [79][8550/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.6182 (1.6329) Prec@1 57.500 (56.080) Prec@5 85.625 (84.596) Epoch: [79][8560/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 2.0018 (1.6330) Prec@1 50.000 (56.077) Prec@5 78.750 (84.596) Epoch: [79][8570/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.7221 (1.6329) Prec@1 56.875 (56.078) Prec@5 82.500 (84.597) Epoch: [79][8580/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.7625 (1.6330) Prec@1 51.250 (56.077) Prec@5 80.625 (84.596) Epoch: [79][8590/11272] Time 0.809 (0.776) Data 0.002 (0.002) Loss 1.7214 (1.6330) Prec@1 55.000 (56.077) Prec@5 83.750 (84.597) Epoch: [79][8600/11272] Time 0.740 (0.776) Data 0.001 (0.002) Loss 1.7338 (1.6331) Prec@1 52.500 (56.075) Prec@5 84.375 (84.596) Epoch: [79][8610/11272] Time 0.709 (0.776) Data 0.001 (0.002) Loss 1.4604 (1.6331) Prec@1 57.500 (56.076) Prec@5 88.125 (84.596) Epoch: [79][8620/11272] Time 0.818 (0.776) Data 0.001 (0.002) Loss 1.5191 (1.6331) Prec@1 62.500 (56.077) Prec@5 85.625 (84.595) Epoch: [79][8630/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.4970 (1.6331) Prec@1 56.875 (56.075) Prec@5 89.375 (84.594) Epoch: [79][8640/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.6990 (1.6331) Prec@1 50.625 (56.075) Prec@5 85.625 (84.595) Epoch: [79][8650/11272] Time 0.809 (0.776) Data 0.002 (0.002) Loss 1.4814 (1.6330) Prec@1 60.000 (56.079) Prec@5 86.875 (84.595) Epoch: [79][8660/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.7234 (1.6331) Prec@1 52.500 (56.077) Prec@5 84.375 (84.595) Epoch: [79][8670/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.5654 (1.6331) Prec@1 51.875 (56.078) Prec@5 88.125 (84.595) Epoch: [79][8680/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.4704 (1.6330) Prec@1 60.000 (56.077) Prec@5 86.875 (84.595) Epoch: [79][8690/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.6609 (1.6330) Prec@1 54.375 (56.079) Prec@5 83.750 (84.595) Epoch: [79][8700/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.8826 (1.6330) Prec@1 50.000 (56.079) Prec@5 81.250 (84.595) Epoch: [79][8710/11272] Time 0.697 (0.776) Data 0.002 (0.002) Loss 1.3856 (1.6330) Prec@1 62.500 (56.080) Prec@5 89.375 (84.594) Epoch: [79][8720/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6899 (1.6330) Prec@1 50.625 (56.080) Prec@5 84.375 (84.595) Epoch: [79][8730/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.6633 (1.6330) Prec@1 54.375 (56.079) Prec@5 85.000 (84.595) Epoch: [79][8740/11272] Time 0.824 (0.776) Data 0.001 (0.002) Loss 1.7399 (1.6330) Prec@1 56.875 (56.079) Prec@5 82.500 (84.595) Epoch: [79][8750/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7669 (1.6331) Prec@1 54.375 (56.076) Prec@5 84.375 (84.594) Epoch: [79][8760/11272] Time 0.836 (0.776) Data 0.002 (0.002) Loss 1.5999 (1.6330) Prec@1 57.500 (56.077) Prec@5 83.125 (84.595) Epoch: [79][8770/11272] Time 0.821 (0.776) Data 0.001 (0.002) Loss 1.4746 (1.6331) Prec@1 58.125 (56.077) Prec@5 89.375 (84.594) Epoch: [79][8780/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6080 (1.6330) Prec@1 53.125 (56.077) Prec@5 83.125 (84.594) Epoch: [79][8790/11272] Time 0.728 (0.776) Data 0.002 (0.002) Loss 1.4311 (1.6330) Prec@1 57.500 (56.078) Prec@5 87.500 (84.595) Epoch: [79][8800/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6205 (1.6330) Prec@1 58.125 (56.077) Prec@5 86.875 (84.595) Epoch: [79][8810/11272] Time 0.836 (0.776) Data 0.002 (0.002) Loss 1.7107 (1.6330) Prec@1 55.000 (56.076) Prec@5 82.500 (84.595) Epoch: [79][8820/11272] Time 0.768 (0.776) Data 0.001 (0.002) Loss 1.9622 (1.6331) Prec@1 51.875 (56.076) Prec@5 80.625 (84.595) Epoch: [79][8830/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.6151 (1.6330) Prec@1 59.375 (56.078) Prec@5 85.000 (84.596) Epoch: [79][8840/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.6665 (1.6330) Prec@1 58.750 (56.080) Prec@5 83.125 (84.596) Epoch: [79][8850/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.8018 (1.6331) Prec@1 53.750 (56.079) Prec@5 80.625 (84.594) Epoch: [79][8860/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.5827 (1.6331) Prec@1 55.625 (56.078) Prec@5 87.500 (84.593) Epoch: [79][8870/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.5305 (1.6330) Prec@1 58.750 (56.080) Prec@5 88.125 (84.596) Epoch: [79][8880/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.7371 (1.6330) Prec@1 55.000 (56.081) Prec@5 80.625 (84.596) Epoch: [79][8890/11272] Time 0.724 (0.776) Data 0.003 (0.002) Loss 1.4373 (1.6330) Prec@1 58.125 (56.081) Prec@5 86.875 (84.596) Epoch: [79][8900/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.7500 (1.6330) Prec@1 48.125 (56.080) Prec@5 84.375 (84.597) Epoch: [79][8910/11272] Time 0.809 (0.776) Data 0.002 (0.002) Loss 1.8624 (1.6331) Prec@1 54.375 (56.078) Prec@5 81.875 (84.596) Epoch: [79][8920/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.6158 (1.6331) Prec@1 55.000 (56.076) Prec@5 85.625 (84.596) Epoch: [79][8930/11272] Time 0.747 (0.776) Data 0.002 (0.002) Loss 1.6138 (1.6331) Prec@1 53.125 (56.076) Prec@5 83.750 (84.595) Epoch: [79][8940/11272] Time 0.730 (0.776) Data 0.002 (0.002) Loss 1.7443 (1.6331) Prec@1 55.000 (56.077) Prec@5 83.750 (84.596) Epoch: [79][8950/11272] Time 0.829 (0.776) Data 0.002 (0.002) Loss 1.9169 (1.6331) Prec@1 51.250 (56.075) Prec@5 78.750 (84.595) Epoch: [79][8960/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.6950 (1.6332) Prec@1 54.375 (56.074) Prec@5 82.500 (84.596) Epoch: [79][8970/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.5349 (1.6331) Prec@1 61.250 (56.074) Prec@5 82.500 (84.597) Epoch: [79][8980/11272] Time 0.728 (0.776) Data 0.001 (0.002) Loss 1.7857 (1.6333) Prec@1 48.750 (56.070) Prec@5 84.375 (84.595) Epoch: [79][8990/11272] Time 0.879 (0.776) Data 0.002 (0.002) Loss 1.7229 (1.6332) Prec@1 54.375 (56.070) Prec@5 84.375 (84.596) Epoch: [79][9000/11272] Time 0.795 (0.776) Data 0.002 (0.002) Loss 1.5284 (1.6332) Prec@1 56.875 (56.071) Prec@5 82.500 (84.596) Epoch: [79][9010/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.5993 (1.6332) Prec@1 55.000 (56.070) Prec@5 86.250 (84.594) Epoch: [79][9020/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7017 (1.6333) Prec@1 54.375 (56.069) Prec@5 81.875 (84.593) Epoch: [79][9030/11272] Time 0.831 (0.776) Data 0.002 (0.002) Loss 1.6435 (1.6333) Prec@1 51.875 (56.067) Prec@5 83.125 (84.592) Epoch: [79][9040/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.6876 (1.6333) Prec@1 55.000 (56.067) Prec@5 83.125 (84.593) Epoch: [79][9050/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6789 (1.6333) Prec@1 54.375 (56.067) Prec@5 81.875 (84.594) Epoch: [79][9060/11272] Time 0.879 (0.776) Data 0.001 (0.002) Loss 1.5187 (1.6332) Prec@1 60.000 (56.068) Prec@5 89.375 (84.594) Epoch: [79][9070/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.8114 (1.6332) Prec@1 55.000 (56.067) Prec@5 81.250 (84.594) Epoch: [79][9080/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.6676 (1.6332) Prec@1 50.000 (56.067) Prec@5 85.625 (84.595) Epoch: [79][9090/11272] Time 0.713 (0.776) Data 0.001 (0.002) Loss 1.5327 (1.6332) Prec@1 53.750 (56.067) Prec@5 88.125 (84.594) Epoch: [79][9100/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.4913 (1.6333) Prec@1 63.125 (56.066) Prec@5 85.000 (84.594) Epoch: [79][9110/11272] Time 0.822 (0.776) Data 0.001 (0.002) Loss 1.5758 (1.6334) Prec@1 53.125 (56.065) Prec@5 86.250 (84.592) Epoch: [79][9120/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.6231 (1.6333) Prec@1 61.875 (56.066) Prec@5 81.875 (84.593) Epoch: [79][9130/11272] Time 0.753 (0.776) Data 0.002 (0.002) Loss 1.8418 (1.6333) Prec@1 50.000 (56.065) Prec@5 81.875 (84.593) Epoch: [79][9140/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.5648 (1.6334) Prec@1 60.625 (56.065) Prec@5 85.000 (84.592) Epoch: [79][9150/11272] Time 0.782 (0.776) Data 0.002 (0.002) Loss 1.4877 (1.6334) Prec@1 56.250 (56.067) Prec@5 87.500 (84.593) Epoch: [79][9160/11272] Time 0.734 (0.776) Data 0.001 (0.002) Loss 1.5809 (1.6334) Prec@1 58.750 (56.065) Prec@5 85.625 (84.593) Epoch: [79][9170/11272] Time 0.872 (0.776) Data 0.001 (0.002) Loss 1.7147 (1.6334) Prec@1 60.000 (56.065) Prec@5 78.750 (84.592) Epoch: [79][9180/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.6306 (1.6334) Prec@1 57.500 (56.065) Prec@5 87.500 (84.593) Epoch: [79][9190/11272] Time 0.751 (0.776) Data 0.001 (0.002) Loss 1.7061 (1.6335) Prec@1 54.375 (56.063) Prec@5 81.875 (84.591) Epoch: [79][9200/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6525 (1.6335) Prec@1 55.000 (56.064) Prec@5 84.375 (84.591) Epoch: [79][9210/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.6701 (1.6334) Prec@1 53.125 (56.065) Prec@5 85.625 (84.592) Epoch: [79][9220/11272] Time 0.827 (0.776) Data 0.001 (0.002) Loss 1.8267 (1.6335) Prec@1 50.000 (56.064) Prec@5 80.000 (84.591) Epoch: [79][9230/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6623 (1.6334) Prec@1 54.375 (56.066) Prec@5 84.375 (84.593) Epoch: [79][9240/11272] Time 0.726 (0.776) Data 0.002 (0.002) Loss 1.5912 (1.6334) Prec@1 59.375 (56.066) Prec@5 83.750 (84.591) Epoch: [79][9250/11272] Time 0.860 (0.776) Data 0.001 (0.002) Loss 1.7919 (1.6334) Prec@1 52.500 (56.066) Prec@5 78.125 (84.592) Epoch: [79][9260/11272] Time 0.891 (0.776) Data 0.001 (0.002) Loss 1.7890 (1.6335) Prec@1 55.000 (56.065) Prec@5 81.875 (84.590) Epoch: [79][9270/11272] Time 0.735 (0.776) Data 0.002 (0.002) Loss 1.3439 (1.6335) Prec@1 66.250 (56.065) Prec@5 83.750 (84.591) Epoch: [79][9280/11272] Time 0.770 (0.776) Data 0.001 (0.002) Loss 1.5344 (1.6335) Prec@1 58.125 (56.066) Prec@5 88.125 (84.589) Epoch: [79][9290/11272] Time 0.815 (0.776) Data 0.002 (0.002) Loss 1.6045 (1.6334) Prec@1 57.500 (56.069) Prec@5 86.875 (84.591) Epoch: [79][9300/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.3469 (1.6334) Prec@1 63.750 (56.070) Prec@5 90.625 (84.590) Epoch: [79][9310/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.8997 (1.6334) Prec@1 47.500 (56.070) Prec@5 76.875 (84.591) Epoch: [79][9320/11272] Time 0.914 (0.776) Data 0.002 (0.002) Loss 1.7315 (1.6334) Prec@1 55.625 (56.069) Prec@5 82.500 (84.590) Epoch: [79][9330/11272] Time 0.801 (0.776) Data 0.001 (0.002) Loss 1.5684 (1.6334) Prec@1 58.750 (56.067) Prec@5 85.000 (84.589) Epoch: [79][9340/11272] Time 0.731 (0.776) Data 0.001 (0.002) Loss 1.5318 (1.6334) Prec@1 61.250 (56.070) Prec@5 85.625 (84.589) Epoch: [79][9350/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6823 (1.6335) Prec@1 53.750 (56.068) Prec@5 83.750 (84.587) Epoch: [79][9360/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.3900 (1.6335) Prec@1 64.375 (56.067) Prec@5 88.125 (84.587) Epoch: [79][9370/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.7261 (1.6336) Prec@1 52.500 (56.066) Prec@5 82.500 (84.586) Epoch: [79][9380/11272] Time 0.733 (0.776) Data 0.002 (0.002) Loss 1.7587 (1.6336) Prec@1 51.875 (56.061) Prec@5 83.750 (84.585) Epoch: [79][9390/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7215 (1.6337) Prec@1 56.875 (56.060) Prec@5 83.125 (84.583) Epoch: [79][9400/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.7582 (1.6337) Prec@1 56.250 (56.061) Prec@5 81.875 (84.584) Epoch: [79][9410/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.6213 (1.6336) Prec@1 63.125 (56.064) Prec@5 84.375 (84.584) Epoch: [79][9420/11272] Time 0.759 (0.776) Data 0.001 (0.002) Loss 1.8987 (1.6338) Prec@1 53.125 (56.060) Prec@5 81.250 (84.582) Epoch: [79][9430/11272] Time 0.835 (0.776) Data 0.002 (0.002) Loss 1.8806 (1.6338) Prec@1 54.375 (56.062) Prec@5 77.500 (84.582) Epoch: [79][9440/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.4902 (1.6338) Prec@1 60.625 (56.062) Prec@5 86.875 (84.582) Epoch: [79][9450/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.6768 (1.6338) Prec@1 56.250 (56.061) Prec@5 85.625 (84.582) Epoch: [79][9460/11272] Time 0.723 (0.776) Data 0.002 (0.002) Loss 1.6502 (1.6337) Prec@1 53.750 (56.062) Prec@5 83.750 (84.583) Epoch: [79][9470/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.5803 (1.6338) Prec@1 52.500 (56.061) Prec@5 83.750 (84.583) Epoch: [79][9480/11272] Time 0.818 (0.776) Data 0.002 (0.002) Loss 1.5608 (1.6338) Prec@1 57.500 (56.061) Prec@5 84.375 (84.582) Epoch: [79][9490/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.5177 (1.6338) Prec@1 55.000 (56.061) Prec@5 86.875 (84.583) Epoch: [79][9500/11272] Time 0.703 (0.776) Data 0.001 (0.002) Loss 1.5650 (1.6337) Prec@1 53.125 (56.063) Prec@5 85.000 (84.583) Epoch: [79][9510/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.6738 (1.6337) Prec@1 56.250 (56.063) Prec@5 86.250 (84.583) Epoch: [79][9520/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.6900 (1.6337) Prec@1 52.500 (56.062) Prec@5 83.750 (84.584) Epoch: [79][9530/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.6479 (1.6338) Prec@1 55.000 (56.059) Prec@5 84.375 (84.584) Epoch: [79][9540/11272] Time 0.729 (0.776) Data 0.001 (0.002) Loss 1.6131 (1.6338) Prec@1 58.125 (56.060) Prec@5 87.500 (84.585) Epoch: [79][9550/11272] Time 0.828 (0.776) Data 0.002 (0.002) Loss 1.7070 (1.6339) Prec@1 52.500 (56.058) Prec@5 83.125 (84.582) Epoch: [79][9560/11272] Time 0.712 (0.776) Data 0.003 (0.002) Loss 1.5876 (1.6338) Prec@1 60.000 (56.058) Prec@5 86.250 (84.583) Epoch: [79][9570/11272] Time 0.704 (0.776) Data 0.002 (0.002) Loss 1.3922 (1.6338) Prec@1 61.875 (56.058) Prec@5 88.125 (84.583) Epoch: [79][9580/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.5968 (1.6338) Prec@1 57.500 (56.057) Prec@5 87.500 (84.584) Epoch: [79][9590/11272] Time 0.847 (0.776) Data 0.001 (0.002) Loss 1.5675 (1.6339) Prec@1 55.625 (56.056) Prec@5 85.000 (84.583) Epoch: [79][9600/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.8224 (1.6339) Prec@1 55.000 (56.055) Prec@5 80.625 (84.581) Epoch: [79][9610/11272] Time 0.711 (0.776) Data 0.001 (0.002) Loss 1.7878 (1.6340) Prec@1 53.750 (56.056) Prec@5 83.125 (84.580) Epoch: [79][9620/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6242 (1.6340) Prec@1 60.625 (56.056) Prec@5 83.750 (84.581) Epoch: [79][9630/11272] Time 0.832 (0.776) Data 0.001 (0.002) Loss 1.6282 (1.6341) Prec@1 56.875 (56.056) Prec@5 83.750 (84.580) Epoch: [79][9640/11272] Time 0.705 (0.776) Data 0.002 (0.002) Loss 1.5149 (1.6340) Prec@1 59.375 (56.059) Prec@5 86.250 (84.581) Epoch: [79][9650/11272] Time 0.743 (0.776) Data 0.002 (0.002) Loss 1.5238 (1.6340) Prec@1 56.875 (56.060) Prec@5 85.625 (84.583) Epoch: [79][9660/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.6282 (1.6340) Prec@1 54.375 (56.058) Prec@5 88.750 (84.581) Epoch: [79][9670/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.7322 (1.6340) Prec@1 56.875 (56.058) Prec@5 80.625 (84.581) Epoch: [79][9680/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.8059 (1.6340) Prec@1 50.625 (56.059) Prec@5 81.875 (84.581) Epoch: [79][9690/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6186 (1.6341) Prec@1 55.625 (56.056) Prec@5 86.250 (84.581) Epoch: [79][9700/11272] Time 0.796 (0.776) Data 0.001 (0.002) Loss 1.7248 (1.6341) Prec@1 55.625 (56.057) Prec@5 80.625 (84.580) Epoch: [79][9710/11272] Time 0.708 (0.776) Data 0.001 (0.002) Loss 1.6796 (1.6341) Prec@1 57.500 (56.056) Prec@5 84.375 (84.580) Epoch: [79][9720/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7868 (1.6341) Prec@1 49.375 (56.056) Prec@5 81.250 (84.580) Epoch: [79][9730/11272] Time 0.838 (0.776) Data 0.002 (0.002) Loss 1.6898 (1.6341) Prec@1 54.375 (56.056) Prec@5 83.750 (84.580) Epoch: [79][9740/11272] Time 0.805 (0.776) Data 0.002 (0.002) Loss 1.5499 (1.6341) Prec@1 53.125 (56.055) Prec@5 85.625 (84.581) Epoch: [79][9750/11272] Time 0.690 (0.776) Data 0.001 (0.002) Loss 1.6624 (1.6341) Prec@1 58.125 (56.056) Prec@5 85.625 (84.580) Epoch: [79][9760/11272] Time 0.744 (0.776) Data 0.002 (0.002) Loss 1.6422 (1.6341) Prec@1 60.000 (56.055) Prec@5 83.750 (84.581) Epoch: [79][9770/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.6635 (1.6342) Prec@1 56.250 (56.053) Prec@5 82.500 (84.581) Epoch: [79][9780/11272] Time 0.874 (0.776) Data 0.002 (0.002) Loss 1.5689 (1.6341) Prec@1 55.000 (56.054) Prec@5 86.875 (84.581) Epoch: [79][9790/11272] Time 0.747 (0.776) Data 0.001 (0.002) Loss 1.7133 (1.6342) Prec@1 54.375 (56.052) Prec@5 83.750 (84.580) Epoch: [79][9800/11272] Time 0.746 (0.776) Data 0.002 (0.002) Loss 1.7406 (1.6342) Prec@1 50.000 (56.051) Prec@5 81.250 (84.580) Epoch: [79][9810/11272] Time 0.787 (0.776) Data 0.001 (0.002) Loss 1.5561 (1.6342) Prec@1 55.625 (56.052) Prec@5 88.125 (84.579) Epoch: [79][9820/11272] Time 0.708 (0.776) Data 0.003 (0.002) Loss 1.6403 (1.6342) Prec@1 58.125 (56.052) Prec@5 86.250 (84.579) Epoch: [79][9830/11272] Time 0.713 (0.776) Data 0.002 (0.002) Loss 1.6665 (1.6342) Prec@1 56.250 (56.051) Prec@5 81.250 (84.578) Epoch: [79][9840/11272] Time 0.831 (0.776) Data 0.002 (0.002) Loss 1.5955 (1.6342) Prec@1 56.875 (56.053) Prec@5 84.375 (84.578) Epoch: [79][9850/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.7023 (1.6341) Prec@1 53.125 (56.054) Prec@5 81.875 (84.578) Epoch: [79][9860/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.2120 (1.6341) Prec@1 66.875 (56.053) Prec@5 90.625 (84.580) Epoch: [79][9870/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.6887 (1.6341) Prec@1 56.875 (56.054) Prec@5 83.750 (84.580) Epoch: [79][9880/11272] Time 0.842 (0.776) Data 0.002 (0.002) Loss 1.8936 (1.6341) Prec@1 48.125 (56.053) Prec@5 78.125 (84.580) Epoch: [79][9890/11272] Time 0.795 (0.776) Data 0.001 (0.002) Loss 1.6670 (1.6341) Prec@1 53.750 (56.053) Prec@5 85.000 (84.580) Epoch: [79][9900/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.5694 (1.6342) Prec@1 58.750 (56.052) Prec@5 85.000 (84.578) Epoch: [79][9910/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.6496 (1.6343) Prec@1 54.375 (56.050) Prec@5 83.750 (84.577) Epoch: [79][9920/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.9557 (1.6343) Prec@1 48.750 (56.049) Prec@5 77.500 (84.576) Epoch: [79][9930/11272] Time 0.821 (0.776) Data 0.002 (0.002) Loss 1.5141 (1.6343) Prec@1 56.250 (56.048) Prec@5 87.500 (84.576) Epoch: [79][9940/11272] Time 0.756 (0.776) Data 0.002 (0.002) Loss 1.5954 (1.6343) Prec@1 55.625 (56.047) Prec@5 85.000 (84.576) Epoch: [79][9950/11272] Time 0.810 (0.776) Data 0.001 (0.002) Loss 1.6905 (1.6343) Prec@1 53.125 (56.047) Prec@5 83.125 (84.576) Epoch: [79][9960/11272] Time 0.826 (0.776) Data 0.001 (0.002) Loss 1.5533 (1.6343) Prec@1 58.750 (56.047) Prec@5 83.125 (84.575) Epoch: [79][9970/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.6462 (1.6343) Prec@1 56.250 (56.046) Prec@5 84.375 (84.577) Epoch: [79][9980/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.7824 (1.6343) Prec@1 55.000 (56.046) Prec@5 82.500 (84.578) Epoch: [79][9990/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.7952 (1.6343) Prec@1 56.250 (56.046) Prec@5 77.500 (84.576) Epoch: [79][10000/11272] Time 0.808 (0.776) Data 0.001 (0.002) Loss 1.7489 (1.6343) Prec@1 53.125 (56.045) Prec@5 82.500 (84.576) Epoch: [79][10010/11272] Time 0.732 (0.776) Data 0.001 (0.002) Loss 1.6358 (1.6343) Prec@1 53.750 (56.045) Prec@5 86.875 (84.577) Epoch: [79][10020/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6218 (1.6342) Prec@1 60.000 (56.045) Prec@5 83.125 (84.577) Epoch: [79][10030/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.5764 (1.6343) Prec@1 60.000 (56.044) Prec@5 86.250 (84.577) Epoch: [79][10040/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.5878 (1.6342) Prec@1 58.750 (56.046) Prec@5 83.750 (84.577) Epoch: [79][10050/11272] Time 0.749 (0.776) Data 0.002 (0.002) Loss 1.5409 (1.6342) Prec@1 58.125 (56.045) Prec@5 86.875 (84.577) Epoch: [79][10060/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.6534 (1.6343) Prec@1 50.000 (56.045) Prec@5 86.250 (84.576) Epoch: [79][10070/11272] Time 0.775 (0.776) Data 0.001 (0.002) Loss 1.6171 (1.6343) Prec@1 60.000 (56.044) Prec@5 82.500 (84.574) Epoch: [79][10080/11272] Time 0.813 (0.776) Data 0.001 (0.002) Loss 1.6114 (1.6344) Prec@1 58.125 (56.043) Prec@5 83.125 (84.574) Epoch: [79][10090/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.7940 (1.6343) Prec@1 52.500 (56.043) Prec@5 81.875 (84.574) Epoch: [79][10100/11272] Time 0.863 (0.776) Data 0.001 (0.002) Loss 1.4100 (1.6344) Prec@1 60.000 (56.044) Prec@5 89.375 (84.573) Epoch: [79][10110/11272] Time 0.816 (0.776) Data 0.001 (0.002) Loss 1.6954 (1.6343) Prec@1 53.125 (56.046) Prec@5 83.125 (84.574) Epoch: [79][10120/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.5547 (1.6343) Prec@1 58.125 (56.047) Prec@5 84.375 (84.573) Epoch: [79][10130/11272] Time 0.757 (0.776) Data 0.001 (0.002) Loss 1.5992 (1.6343) Prec@1 57.500 (56.046) Prec@5 85.625 (84.572) Epoch: [79][10140/11272] Time 0.855 (0.776) Data 0.002 (0.002) Loss 1.8500 (1.6344) Prec@1 47.500 (56.046) Prec@5 80.000 (84.572) Epoch: [79][10150/11272] Time 0.847 (0.776) Data 0.003 (0.002) Loss 1.6539 (1.6344) Prec@1 57.500 (56.044) Prec@5 83.750 (84.571) Epoch: [79][10160/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7602 (1.6344) Prec@1 53.125 (56.044) Prec@5 80.000 (84.571) Epoch: [79][10170/11272] Time 0.718 (0.776) Data 0.001 (0.002) Loss 1.6554 (1.6344) Prec@1 57.500 (56.045) Prec@5 86.875 (84.570) Epoch: [79][10180/11272] Time 0.845 (0.776) Data 0.002 (0.002) Loss 1.4693 (1.6344) Prec@1 60.000 (56.044) Prec@5 88.750 (84.571) Epoch: [79][10190/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.6137 (1.6344) Prec@1 56.875 (56.044) Prec@5 80.000 (84.570) Epoch: [79][10200/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.4891 (1.6344) Prec@1 60.625 (56.045) Prec@5 85.625 (84.569) Epoch: [79][10210/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.8106 (1.6344) Prec@1 50.625 (56.044) Prec@5 80.625 (84.569) Epoch: [79][10220/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.5002 (1.6344) Prec@1 55.000 (56.044) Prec@5 88.125 (84.569) Epoch: [79][10230/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7170 (1.6345) Prec@1 55.625 (56.044) Prec@5 81.875 (84.569) Epoch: [79][10240/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.8635 (1.6345) Prec@1 49.375 (56.043) Prec@5 80.625 (84.568) Epoch: [79][10250/11272] Time 0.864 (0.776) Data 0.001 (0.002) Loss 1.9051 (1.6345) Prec@1 55.000 (56.043) Prec@5 78.125 (84.568) Epoch: [79][10260/11272] Time 0.798 (0.776) Data 0.001 (0.002) Loss 1.6571 (1.6345) Prec@1 54.375 (56.044) Prec@5 88.125 (84.569) Epoch: [79][10270/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.8001 (1.6345) Prec@1 58.125 (56.044) Prec@5 81.250 (84.569) Epoch: [79][10280/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7214 (1.6346) Prec@1 56.250 (56.043) Prec@5 83.125 (84.568) Epoch: [79][10290/11272] Time 0.830 (0.776) Data 0.002 (0.002) Loss 1.5403 (1.6345) Prec@1 58.750 (56.045) Prec@5 86.250 (84.568) Epoch: [79][10300/11272] Time 0.837 (0.776) Data 0.002 (0.002) Loss 1.5316 (1.6345) Prec@1 57.500 (56.046) Prec@5 83.125 (84.568) Epoch: [79][10310/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.8554 (1.6346) Prec@1 51.250 (56.046) Prec@5 82.500 (84.567) Epoch: [79][10320/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6059 (1.6346) Prec@1 55.000 (56.045) Prec@5 83.125 (84.566) Epoch: [79][10330/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.6573 (1.6347) Prec@1 54.375 (56.043) Prec@5 83.125 (84.564) Epoch: [79][10340/11272] Time 0.810 (0.776) Data 0.002 (0.002) Loss 1.4745 (1.6347) Prec@1 56.875 (56.044) Prec@5 89.375 (84.565) Epoch: [79][10350/11272] Time 0.686 (0.776) Data 0.001 (0.002) Loss 1.5912 (1.6347) Prec@1 55.625 (56.044) Prec@5 86.250 (84.565) Epoch: [79][10360/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.7112 (1.6347) Prec@1 50.000 (56.043) Prec@5 84.375 (84.565) Epoch: [79][10370/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.6426 (1.6347) Prec@1 59.375 (56.045) Prec@5 84.375 (84.566) Epoch: [79][10380/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.5067 (1.6348) Prec@1 57.500 (56.043) Prec@5 88.750 (84.566) Epoch: [79][10390/11272] Time 0.755 (0.776) Data 0.002 (0.002) Loss 1.8591 (1.6348) Prec@1 53.125 (56.042) Prec@5 78.750 (84.565) Epoch: [79][10400/11272] Time 0.820 (0.776) Data 0.001 (0.002) Loss 1.6117 (1.6349) Prec@1 58.750 (56.043) Prec@5 85.625 (84.564) Epoch: [79][10410/11272] Time 0.833 (0.776) Data 0.002 (0.002) Loss 1.6672 (1.6349) Prec@1 53.750 (56.042) Prec@5 83.125 (84.564) Epoch: [79][10420/11272] Time 0.715 (0.776) Data 0.001 (0.002) Loss 1.7860 (1.6349) Prec@1 51.250 (56.041) Prec@5 83.125 (84.564) Epoch: [79][10430/11272] Time 0.707 (0.776) Data 0.002 (0.002) Loss 1.4701 (1.6349) Prec@1 58.750 (56.041) Prec@5 87.500 (84.564) Epoch: [79][10440/11272] Time 0.872 (0.776) Data 0.002 (0.002) Loss 1.6701 (1.6350) Prec@1 55.625 (56.039) Prec@5 83.125 (84.563) Epoch: [79][10450/11272] Time 0.814 (0.776) Data 0.001 (0.002) Loss 1.4328 (1.6350) Prec@1 56.250 (56.037) Prec@5 89.375 (84.562) Epoch: [79][10460/11272] Time 0.707 (0.776) Data 0.001 (0.002) Loss 1.6672 (1.6350) Prec@1 50.625 (56.037) Prec@5 86.250 (84.562) Epoch: [79][10470/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.8225 (1.6350) Prec@1 51.875 (56.035) Prec@5 80.000 (84.562) Epoch: [79][10480/11272] Time 0.856 (0.776) Data 0.002 (0.002) Loss 1.5490 (1.6350) Prec@1 61.250 (56.034) Prec@5 90.000 (84.562) Epoch: [79][10490/11272] Time 0.733 (0.776) Data 0.005 (0.002) Loss 1.3192 (1.6350) Prec@1 61.250 (56.035) Prec@5 88.750 (84.562) Epoch: [79][10500/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.7987 (1.6349) Prec@1 53.750 (56.038) Prec@5 80.625 (84.563) Epoch: [79][10510/11272] Time 0.786 (0.776) Data 0.001 (0.002) Loss 1.8442 (1.6349) Prec@1 54.375 (56.039) Prec@5 79.375 (84.561) Epoch: [79][10520/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.8388 (1.6349) Prec@1 55.625 (56.041) Prec@5 79.375 (84.562) Epoch: [79][10530/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.7002 (1.6350) Prec@1 53.125 (56.041) Prec@5 86.250 (84.561) Epoch: [79][10540/11272] Time 0.697 (0.776) Data 0.001 (0.002) Loss 1.5368 (1.6350) Prec@1 59.375 (56.040) Prec@5 83.750 (84.560) Epoch: [79][10550/11272] Time 0.843 (0.776) Data 0.001 (0.002) Loss 1.9029 (1.6351) Prec@1 49.375 (56.039) Prec@5 78.125 (84.559) Epoch: [79][10560/11272] Time 0.809 (0.776) Data 0.001 (0.002) Loss 1.5348 (1.6351) Prec@1 54.375 (56.039) Prec@5 90.000 (84.561) Epoch: [79][10570/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.6665 (1.6351) Prec@1 54.375 (56.038) Prec@5 85.000 (84.561) Epoch: [79][10580/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.5170 (1.6351) Prec@1 57.500 (56.038) Prec@5 85.625 (84.561) Epoch: [79][10590/11272] Time 0.855 (0.776) Data 0.002 (0.002) Loss 1.9192 (1.6351) Prec@1 52.500 (56.038) Prec@5 80.000 (84.562) Epoch: [79][10600/11272] Time 0.865 (0.776) Data 0.002 (0.002) Loss 1.6299 (1.6352) Prec@1 58.750 (56.037) Prec@5 83.750 (84.561) Epoch: [79][10610/11272] Time 0.726 (0.776) Data 0.002 (0.002) Loss 1.7849 (1.6352) Prec@1 51.875 (56.035) Prec@5 82.500 (84.561) Epoch: [79][10620/11272] Time 0.803 (0.776) Data 0.002 (0.002) Loss 1.3663 (1.6351) Prec@1 61.875 (56.038) Prec@5 87.500 (84.561) Epoch: [79][10630/11272] Time 0.818 (0.776) Data 0.002 (0.002) Loss 1.5174 (1.6351) Prec@1 60.625 (56.038) Prec@5 84.375 (84.562) Epoch: [79][10640/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.6625 (1.6351) Prec@1 56.250 (56.036) Prec@5 84.375 (84.561) Epoch: [79][10650/11272] Time 0.740 (0.776) Data 0.002 (0.002) Loss 1.7560 (1.6351) Prec@1 54.375 (56.036) Prec@5 84.375 (84.560) Epoch: [79][10660/11272] Time 0.848 (0.776) Data 0.001 (0.002) Loss 1.8359 (1.6352) Prec@1 50.000 (56.034) Prec@5 83.125 (84.559) Epoch: [79][10670/11272] Time 0.812 (0.776) Data 0.001 (0.002) Loss 1.7556 (1.6353) Prec@1 55.625 (56.033) Prec@5 81.250 (84.558) Epoch: [79][10680/11272] Time 0.714 (0.776) Data 0.001 (0.002) Loss 1.6698 (1.6353) Prec@1 53.750 (56.032) Prec@5 85.000 (84.558) Epoch: [79][10690/11272] Time 0.720 (0.776) Data 0.002 (0.002) Loss 1.3888 (1.6353) Prec@1 58.125 (56.031) Prec@5 90.625 (84.558) Epoch: [79][10700/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.5947 (1.6353) Prec@1 57.500 (56.030) Prec@5 81.875 (84.557) Epoch: [79][10710/11272] Time 0.839 (0.776) Data 0.003 (0.002) Loss 1.6732 (1.6353) Prec@1 55.000 (56.031) Prec@5 82.500 (84.558) Epoch: [79][10720/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.6481 (1.6352) Prec@1 55.000 (56.032) Prec@5 82.500 (84.558) Epoch: [79][10730/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.8032 (1.6353) Prec@1 46.250 (56.030) Prec@5 84.375 (84.556) Epoch: [79][10740/11272] Time 0.819 (0.776) Data 0.002 (0.002) Loss 1.4994 (1.6353) Prec@1 58.750 (56.029) Prec@5 86.250 (84.557) Epoch: [79][10750/11272] Time 0.709 (0.776) Data 0.003 (0.002) Loss 1.6595 (1.6353) Prec@1 56.250 (56.030) Prec@5 85.000 (84.557) Epoch: [79][10760/11272] Time 0.733 (0.776) Data 0.002 (0.002) Loss 1.5917 (1.6353) Prec@1 61.250 (56.029) Prec@5 84.375 (84.557) Epoch: [79][10770/11272] Time 0.842 (0.776) Data 0.001 (0.002) Loss 1.7810 (1.6353) Prec@1 49.375 (56.028) Prec@5 82.500 (84.557) Epoch: [79][10780/11272] Time 0.783 (0.776) Data 0.001 (0.002) Loss 1.9004 (1.6354) Prec@1 51.875 (56.024) Prec@5 78.750 (84.556) Epoch: [79][10790/11272] Time 0.731 (0.776) Data 0.002 (0.002) Loss 1.7728 (1.6354) Prec@1 54.375 (56.025) Prec@5 83.125 (84.556) Epoch: [79][10800/11272] Time 0.716 (0.776) Data 0.002 (0.002) Loss 1.6081 (1.6355) Prec@1 55.625 (56.025) Prec@5 85.625 (84.555) Epoch: [79][10810/11272] Time 0.805 (0.776) Data 0.001 (0.002) Loss 1.4387 (1.6355) Prec@1 61.875 (56.024) Prec@5 87.500 (84.554) Epoch: [79][10820/11272] Time 0.806 (0.776) Data 0.001 (0.002) Loss 1.7122 (1.6355) Prec@1 57.500 (56.024) Prec@5 81.250 (84.554) Epoch: [79][10830/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.7230 (1.6357) Prec@1 54.375 (56.022) Prec@5 81.250 (84.552) Epoch: [79][10840/11272] Time 0.709 (0.776) Data 0.002 (0.002) Loss 1.6565 (1.6356) Prec@1 57.500 (56.021) Prec@5 83.125 (84.553) Epoch: [79][10850/11272] Time 0.817 (0.776) Data 0.001 (0.002) Loss 1.4395 (1.6356) Prec@1 57.500 (56.021) Prec@5 86.875 (84.553) Epoch: [79][10860/11272] Time 0.825 (0.776) Data 0.001 (0.002) Loss 1.6430 (1.6357) Prec@1 49.375 (56.021) Prec@5 88.750 (84.553) Epoch: [79][10870/11272] Time 0.719 (0.776) Data 0.001 (0.002) Loss 1.5610 (1.6357) Prec@1 55.625 (56.019) Prec@5 85.625 (84.553) Epoch: [79][10880/11272] Time 0.883 (0.776) Data 0.001 (0.002) Loss 1.5321 (1.6356) Prec@1 54.375 (56.020) Prec@5 88.125 (84.554) Epoch: [79][10890/11272] Time 0.856 (0.776) Data 0.002 (0.002) Loss 1.5138 (1.6357) Prec@1 61.250 (56.020) Prec@5 88.125 (84.553) Epoch: [79][10900/11272] Time 0.724 (0.776) Data 0.001 (0.002) Loss 1.6756 (1.6357) Prec@1 57.500 (56.020) Prec@5 83.750 (84.554) Epoch: [79][10910/11272] Time 0.710 (0.776) Data 0.001 (0.002) Loss 1.7065 (1.6357) Prec@1 53.750 (56.019) Prec@5 84.375 (84.554) Epoch: [79][10920/11272] Time 0.823 (0.776) Data 0.002 (0.002) Loss 1.8562 (1.6357) Prec@1 48.125 (56.018) Prec@5 80.000 (84.554) Epoch: [79][10930/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.7824 (1.6358) Prec@1 53.750 (56.018) Prec@5 81.875 (84.552) Epoch: [79][10940/11272] Time 0.708 (0.776) Data 0.002 (0.002) Loss 1.5973 (1.6358) Prec@1 56.250 (56.018) Prec@5 83.125 (84.551) Epoch: [79][10950/11272] Time 0.712 (0.776) Data 0.001 (0.002) Loss 1.7441 (1.6358) Prec@1 56.250 (56.016) Prec@5 83.750 (84.552) Epoch: [79][10960/11272] Time 0.819 (0.776) Data 0.001 (0.002) Loss 1.3891 (1.6358) Prec@1 64.375 (56.016) Prec@5 86.875 (84.551) Epoch: [79][10970/11272] Time 0.808 (0.776) Data 0.002 (0.002) Loss 1.8615 (1.6358) Prec@1 53.125 (56.016) Prec@5 80.625 (84.551) Epoch: [79][10980/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.6663 (1.6358) Prec@1 57.500 (56.015) Prec@5 81.875 (84.551) Epoch: [79][10990/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.8146 (1.6358) Prec@1 54.375 (56.016) Prec@5 78.750 (84.551) Epoch: [79][11000/11272] Time 0.814 (0.776) Data 0.002 (0.002) Loss 1.4568 (1.6358) Prec@1 58.125 (56.015) Prec@5 88.125 (84.551) Epoch: [79][11010/11272] Time 0.844 (0.776) Data 0.002 (0.002) Loss 1.6377 (1.6358) Prec@1 61.250 (56.016) Prec@5 83.750 (84.551) Epoch: [79][11020/11272] Time 0.729 (0.776) Data 0.002 (0.002) Loss 1.7019 (1.6359) Prec@1 51.250 (56.014) Prec@5 84.375 (84.550) Epoch: [79][11030/11272] Time 0.835 (0.776) Data 0.001 (0.002) Loss 1.7666 (1.6359) Prec@1 46.875 (56.013) Prec@5 85.000 (84.549) Epoch: [79][11040/11272] Time 0.831 (0.776) Data 0.001 (0.002) Loss 1.5911 (1.6359) Prec@1 54.375 (56.013) Prec@5 90.625 (84.550) Epoch: [79][11050/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.6776 (1.6359) Prec@1 56.250 (56.013) Prec@5 85.000 (84.550) Epoch: [79][11060/11272] Time 0.721 (0.776) Data 0.002 (0.002) Loss 1.5049 (1.6360) Prec@1 60.000 (56.014) Prec@5 85.000 (84.550) Epoch: [79][11070/11272] Time 0.854 (0.776) Data 0.002 (0.002) Loss 1.7044 (1.6360) Prec@1 54.375 (56.011) Prec@5 83.125 (84.550) Epoch: [79][11080/11272] Time 0.825 (0.776) Data 0.002 (0.002) Loss 1.7501 (1.6360) Prec@1 51.875 (56.012) Prec@5 85.625 (84.550) Epoch: [79][11090/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.6263 (1.6360) Prec@1 50.625 (56.011) Prec@5 85.625 (84.550) Epoch: [79][11100/11272] Time 0.730 (0.776) Data 0.001 (0.002) Loss 1.6545 (1.6361) Prec@1 56.875 (56.009) Prec@5 81.875 (84.549) Epoch: [79][11110/11272] Time 0.824 (0.776) Data 0.002 (0.002) Loss 1.6475 (1.6361) Prec@1 55.000 (56.008) Prec@5 84.375 (84.549) Epoch: [79][11120/11272] Time 0.848 (0.776) Data 0.002 (0.002) Loss 1.7046 (1.6361) Prec@1 55.625 (56.009) Prec@5 85.625 (84.550) Epoch: [79][11130/11272] Time 0.715 (0.776) Data 0.002 (0.002) Loss 1.7992 (1.6361) Prec@1 53.750 (56.007) Prec@5 80.000 (84.549) Epoch: [79][11140/11272] Time 0.712 (0.776) Data 0.002 (0.002) Loss 1.8448 (1.6362) Prec@1 47.500 (56.005) Prec@5 81.875 (84.548) Epoch: [79][11150/11272] Time 0.881 (0.776) Data 0.002 (0.002) Loss 1.6677 (1.6362) Prec@1 54.375 (56.007) Prec@5 82.500 (84.549) Epoch: [79][11160/11272] Time 0.723 (0.776) Data 0.001 (0.002) Loss 1.6012 (1.6361) Prec@1 51.875 (56.009) Prec@5 89.375 (84.550) Epoch: [79][11170/11272] Time 0.689 (0.776) Data 0.002 (0.002) Loss 1.5656 (1.6360) Prec@1 58.750 (56.010) Prec@5 83.125 (84.550) Epoch: [79][11180/11272] Time 0.827 (0.776) Data 0.002 (0.002) Loss 1.7502 (1.6360) Prec@1 48.750 (56.010) Prec@5 85.625 (84.550) Epoch: [79][11190/11272] Time 0.793 (0.776) Data 0.001 (0.002) Loss 1.5597 (1.6360) Prec@1 59.375 (56.010) Prec@5 85.000 (84.550) Epoch: [79][11200/11272] Time 0.782 (0.776) Data 0.002 (0.002) Loss 1.7104 (1.6360) Prec@1 55.000 (56.011) Prec@5 85.625 (84.550) Epoch: [79][11210/11272] Time 0.706 (0.776) Data 0.001 (0.002) Loss 1.8490 (1.6361) Prec@1 46.875 (56.009) Prec@5 80.625 (84.549) Epoch: [79][11220/11272] Time 0.807 (0.776) Data 0.001 (0.002) Loss 1.6759 (1.6360) Prec@1 52.500 (56.009) Prec@5 81.250 (84.551) Epoch: [79][11230/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.5999 (1.6361) Prec@1 54.375 (56.007) Prec@5 84.375 (84.550) Epoch: [79][11240/11272] Time 0.736 (0.776) Data 0.002 (0.002) Loss 1.7300 (1.6362) Prec@1 54.375 (56.007) Prec@5 82.500 (84.548) Epoch: [79][11250/11272] Time 0.758 (0.776) Data 0.001 (0.002) Loss 1.9306 (1.6362) Prec@1 50.625 (56.004) Prec@5 80.625 (84.548) Epoch: [79][11260/11272] Time 0.870 (0.776) Data 0.002 (0.002) Loss 1.6484 (1.6363) Prec@1 61.875 (56.003) Prec@5 81.875 (84.547) Epoch: [79][11270/11272] Time 0.766 (0.776) Data 0.000 (0.002) Loss 1.6296 (1.6363) Prec@1 58.125 (56.003) Prec@5 86.250 (84.547) Test: [0/229] Time 3.245 (3.245) Loss 1.0029 (1.0029) Prec@1 69.375 (69.375) Prec@5 96.250 (96.250) Test: [10/229] Time 0.381 (0.782) Loss 1.0962 (1.5783) Prec@1 63.750 (58.466) Prec@5 96.875 (87.500) Test: [20/229] Time 1.016 (0.699) Loss 2.2136 (1.6771) Prec@1 42.500 (54.762) Prec@5 76.875 (86.220) Test: [30/229] Time 0.390 (0.649) Loss 2.0331 (1.6165) Prec@1 45.000 (56.815) Prec@5 82.500 (86.673) Test: [40/229] Time 0.936 (0.638) Loss 0.4303 (1.6177) Prec@1 90.625 (56.784) Prec@5 96.250 (86.570) Test: [50/229] Time 0.428 (0.626) Loss 2.4004 (1.6753) Prec@1 32.500 (55.368) Prec@5 77.500 (85.404) Test: [60/229] Time 0.703 (0.618) Loss 2.2203 (1.6729) Prec@1 42.500 (55.451) Prec@5 80.625 (85.553) Test: [70/229] Time 0.413 (0.614) Loss 1.4145 (1.6829) Prec@1 69.375 (55.423) Prec@5 82.500 (85.414) Test: [80/229] Time 0.505 (0.608) Loss 1.8560 (1.6923) Prec@1 46.250 (54.776) Prec@5 88.750 (85.486) Test: [90/229] Time 0.585 (0.610) Loss 1.2862 (1.7013) Prec@1 71.875 (54.698) Prec@5 85.625 (85.398) Test: [100/229] Time 0.579 (0.607) Loss 2.1073 (1.6971) Prec@1 49.375 (54.975) Prec@5 83.125 (85.446) Test: [110/229] Time 0.672 (0.608) Loss 1.3566 (1.6744) Prec@1 61.250 (55.428) Prec@5 90.000 (85.681) Test: [120/229] Time 0.376 (0.605) Loss 2.7333 (1.6969) Prec@1 33.750 (54.783) Prec@5 73.125 (85.372) Test: [130/229] Time 1.067 (0.607) Loss 1.1468 (1.6779) Prec@1 66.875 (55.215) Prec@5 90.000 (85.549) Test: [140/229] Time 0.316 (0.603) Loss 1.8160 (1.6912) Prec@1 54.375 (54.854) Prec@5 84.375 (85.470) Test: [150/229] Time 1.125 (0.605) Loss 0.9854 (1.7018) Prec@1 78.750 (54.594) Prec@5 91.250 (85.381) Test: [160/229] Time 0.319 (0.601) Loss 1.7407 (1.7031) Prec@1 58.750 (54.484) Prec@5 84.375 (85.365) Test: [170/229] Time 1.064 (0.603) Loss 1.7823 (1.7161) Prec@1 52.500 (54.020) Prec@5 85.625 (85.194) Test: [180/229] Time 0.326 (0.599) Loss 2.4272 (1.7212) Prec@1 35.625 (54.009) Prec@5 70.000 (85.007) Test: [190/229] Time 0.807 (0.601) Loss 1.2617 (1.7114) Prec@1 63.125 (54.280) Prec@5 93.750 (85.098) Test: [200/229] Time 0.392 (0.598) Loss 1.7192 (1.7026) Prec@1 51.875 (54.356) Prec@5 83.750 (85.280) Test: [210/229] Time 0.707 (0.599) Loss 1.0648 (1.6904) Prec@1 68.750 (54.689) Prec@5 93.750 (85.418) Test: [220/229] Time 0.411 (0.598) Loss 1.5478 (1.6807) Prec@1 56.250 (55.006) Prec@5 88.125 (85.515) * Prec@1 55.291 Prec@5 85.555 Epoch: [80][0/11272] Time 4.685 (4.685) Data 3.717 (3.717) Loss 1.5484 (1.5484) Prec@1 59.375 (59.375) Prec@5 88.125 (88.125) Epoch: [80][10/11272] Time 0.770 (1.121) Data 0.001 (0.339) Loss 1.5426 (1.6298) Prec@1 56.875 (57.045) Prec@5 89.375 (84.943) Epoch: [80][20/11272] Time 0.710 (0.949) Data 0.001 (0.178) Loss 1.4883 (1.6098) Prec@1 56.250 (56.905) Prec@5 86.875 (85.060) Epoch: [80][30/11272] Time 0.902 (0.898) Data 0.001 (0.121) Loss 1.4214 (1.6019) Prec@1 61.250 (56.976) Prec@5 89.375 (85.202) Epoch: [80][40/11272] Time 0.793 (0.867) Data 0.002 (0.092) Loss 1.5835 (1.6006) Prec@1 54.375 (57.043) Prec@5 88.125 (85.122) Epoch: [80][50/11272] Time 0.708 (0.850) Data 0.002 (0.074) Loss 1.8543 (1.6164) Prec@1 48.750 (56.765) Prec@5 85.625 (84.939) Epoch: [80][60/11272] Time 0.719 (0.836) Data 0.001 (0.062) Loss 1.8461 (1.6222) Prec@1 52.500 (56.906) Prec@5 77.500 (84.877) Epoch: [80][70/11272] Time 0.782 (0.825) Data 0.001 (0.054) Loss 1.5663 (1.6162) Prec@1 59.375 (57.033) Prec@5 83.750 (85.079) Epoch: [80][80/11272] Time 0.866 (0.818) Data 0.002 (0.047) Loss 1.5201 (1.6110) Prec@1 59.375 (57.292) Prec@5 87.500 (85.170) Epoch: [80][90/11272] Time 0.728 (0.812) Data 0.002 (0.042) Loss 1.5323 (1.6073) Prec@1 61.875 (57.232) Prec@5 85.000 (85.261) Epoch: [80][100/11272] Time 0.856 (0.809) Data 0.002 (0.038) Loss 1.3942 (1.6061) Prec@1 63.750 (57.240) Prec@5 86.875 (85.155) Epoch: [80][110/11272] Time 0.808 (0.806) Data 0.002 (0.035) Loss 1.4729 (1.5997) Prec@1 62.500 (57.387) Prec@5 86.875 (85.175) Epoch: [80][120/11272] Time 0.715 (0.802) Data 0.002 (0.032) Loss 1.5070 (1.5971) Prec@1 58.125 (57.423) Prec@5 84.375 (85.072) Epoch: [80][130/11272] Time 0.710 (0.800) Data 0.001 (0.030) Loss 1.5085 (1.5996) Prec@1 54.375 (57.295) Prec@5 88.750 (84.995) Epoch: [80][140/11272] Time 0.826 (0.799) Data 0.001 (0.028) Loss 1.5749 (1.5995) Prec@1 58.125 (57.194) Prec@5 88.125 (85.009) Epoch: [80][150/11272] Time 0.786 (0.798) Data 0.001 (0.026) Loss 1.6340 (1.5954) Prec@1 56.875 (57.276) Prec@5 83.750 (85.112) Epoch: [80][160/11272] Time 0.717 (0.796) Data 0.002 (0.025) Loss 1.4643 (1.5939) Prec@1 60.000 (57.178) Prec@5 88.125 (85.175) Epoch: [80][170/11272] Time 0.728 (0.795) Data 0.002 (0.023) Loss 1.6524 (1.5946) Prec@1 58.125 (57.105) Prec@5 85.000 (85.194) Epoch: [80][180/11272] Time 0.797 (0.793) Data 0.001 (0.022) Loss 1.5886 (1.5993) Prec@1 54.375 (56.958) Prec@5 88.750 (85.169) Epoch: [80][190/11272] Time 0.815 (0.792) Data 0.001 (0.021) Loss 1.6286 (1.6021) Prec@1 64.375 (56.950) Prec@5 83.125 (85.111) Epoch: [80][200/11272] Time 0.710 (0.790) Data 0.002 (0.020) Loss 1.4153 (1.6003) Prec@1 63.125 (56.906) Prec@5 87.500 (85.177) Epoch: [80][210/11272] Time 0.728 (0.790) Data 0.002 (0.019) Loss 1.4397 (1.6039) Prec@1 58.750 (56.831) Prec@5 87.500 (85.050) Epoch: [80][220/11272] Time 0.861 (0.789) Data 0.001 (0.018) Loss 1.8176 (1.6071) Prec@1 53.125 (56.751) Prec@5 80.000 (84.963) Epoch: [80][230/11272] Time 0.727 (0.789) Data 0.001 (0.018) Loss 1.5369 (1.6065) Prec@1 58.125 (56.734) Prec@5 86.875 (84.989) Epoch: [80][240/11272] Time 0.717 (0.788) Data 0.002 (0.017) Loss 1.6571 (1.6075) Prec@1 58.750 (56.735) Prec@5 83.125 (84.953) Epoch: [80][250/11272] Time 0.842 (0.788) Data 0.002 (0.016) Loss 1.6781 (1.6108) Prec@1 55.000 (56.656) Prec@5 85.000 (84.908) Epoch: [80][260/11272] Time 0.828 (0.788) Data 0.002 (0.016) Loss 1.5685 (1.6120) Prec@1 58.125 (56.609) Prec@5 86.250 (84.868) Epoch: [80][270/11272] Time 0.712 (0.788) Data 0.002 (0.015) Loss 1.6758 (1.6117) Prec@1 52.500 (56.612) Prec@5 85.000 (84.878) Epoch: [80][280/11272] Time 0.711 (0.787) Data 0.001 (0.015) Loss 1.7893 (1.6131) Prec@1 52.500 (56.588) Prec@5 85.625 (84.878) Epoch: [80][290/11272] Time 0.813 (0.787) Data 0.002 (0.014) Loss 1.8927 (1.6158) Prec@1 50.000 (56.553) Prec@5 77.500 (84.824) Epoch: [80][300/11272] Time 0.867 (0.787) Data 0.002 (0.014) Loss 1.6565 (1.6156) Prec@1 57.500 (56.541) Prec@5 83.125 (84.850) Epoch: [80][310/11272] Time 0.769 (0.786) Data 0.002 (0.014) Loss 1.4746 (1.6156) Prec@1 60.000 (56.513) Prec@5 86.875 (84.859) Epoch: [80][320/11272] Time 0.740 (0.786) Data 0.002 (0.013) Loss 1.8549 (1.6178) Prec@1 46.250 (56.468) Prec@5 79.375 (84.813) Epoch: [80][330/11272] Time 0.817 (0.787) Data 0.001 (0.013) Loss 1.5179 (1.6182) Prec@1 61.250 (56.456) Prec@5 82.500 (84.811) Epoch: [80][340/11272] Time 0.810 (0.786) Data 0.001 (0.012) Loss 1.6904 (1.6174) Prec@1 55.000 (56.477) Prec@5 81.250 (84.809) Epoch: [80][350/11272] Time 0.728 (0.786) Data 0.002 (0.012) Loss 1.3983 (1.6181) Prec@1 57.500 (56.469) Prec@5 90.625 (84.795) Epoch: [80][360/11272] Time 0.808 (0.786) Data 0.001 (0.012) Loss 1.5399 (1.6178) Prec@1 61.250 (56.468) Prec@5 86.875 (84.825) Epoch: [80][370/11272] Time 0.835 (0.786) Data 0.002 (0.012) Loss 1.5297 (1.6179) Prec@1 58.750 (56.481) Prec@5 85.625 (84.815) Epoch: [80][380/11272] Time 0.692 (0.785) Data 0.001 (0.011) Loss 1.6537 (1.6185) Prec@1 56.875 (56.508) Prec@5 86.250 (84.813) Epoch: [80][390/11272] Time 0.741 (0.785) Data 0.001 (0.011) Loss 1.3959 (1.6174) Prec@1 60.625 (56.554) Prec@5 88.125 (84.800) Epoch: [80][400/11272] Time 0.830 (0.785) Data 0.001 (0.011) Loss 1.4943 (1.6147) Prec@1 56.875 (56.646) Prec@5 87.500 (84.833) Epoch: [80][410/11272] Time 0.858 (0.785) Data 0.001 (0.011) Loss 1.4229 (1.6151) Prec@1 60.625 (56.618) Prec@5 90.625 (84.862) Epoch: [80][420/11272] Time 0.738 (0.785) Data 0.002 (0.010) Loss 1.5333 (1.6156) Prec@1 59.375 (56.637) Prec@5 87.500 (84.843) Epoch: [80][430/11272] Time 0.712 (0.784) Data 0.002 (0.010) Loss 1.8759 (1.6163) Prec@1 47.500 (56.610) Prec@5 78.750 (84.851) Epoch: [80][440/11272] Time 0.806 (0.785) Data 0.001 (0.010) Loss 1.5739 (1.6175) Prec@1 55.625 (56.562) Prec@5 87.500 (84.831) Epoch: [80][450/11272] Time 0.809 (0.784) Data 0.002 (0.010) Loss 1.6634 (1.6188) Prec@1 56.875 (56.545) Prec@5 83.125 (84.830) Epoch: [80][460/11272] Time 0.712 (0.784) Data 0.001 (0.010) Loss 1.4959 (1.6183) Prec@1 57.500 (56.541) Prec@5 85.625 (84.843) Epoch: [80][470/11272] Time 0.726 (0.784) Data 0.001 (0.009) Loss 1.6664 (1.6180) Prec@1 53.125 (56.554) Prec@5 83.125 (84.834) Epoch: [80][480/11272] Time 0.849 (0.784) Data 0.001 (0.009) Loss 1.8035 (1.6181) Prec@1 54.375 (56.559) Prec@5 81.250 (84.838) Epoch: [80][490/11272] Time 0.722 (0.783) Data 0.003 (0.009) Loss 1.7970 (1.6180) Prec@1 48.750 (56.563) Prec@5 80.625 (84.833) Epoch: [80][500/11272] Time 0.715 (0.783) Data 0.002 (0.009) Loss 1.3938 (1.6154) Prec@1 64.375 (56.637) Prec@5 87.500 (84.888) Epoch: [80][510/11272] Time 0.832 (0.783) Data 0.002 (0.009) Loss 1.4790 (1.6154) Prec@1 58.125 (56.630) Prec@5 90.000 (84.900) Epoch: [80][520/11272] Time 0.838 (0.783) Data 0.002 (0.009) Loss 1.7885 (1.6149) Prec@1 55.000 (56.647) Prec@5 80.000 (84.912) Epoch: [80][530/11272] Time 0.719 (0.783) Data 0.002 (0.009) Loss 1.5298 (1.6150) Prec@1 61.250 (56.635) Prec@5 86.250 (84.911) Epoch: [80][540/11272] Time 0.717 (0.783) Data 0.002 (0.008) Loss 1.6808 (1.6143) Prec@1 52.500 (56.612) Prec@5 84.375 (84.917) Epoch: [80][550/11272] Time 0.841 (0.783) Data 0.002 (0.008) Loss 1.6790 (1.6143) Prec@1 55.000 (56.600) Prec@5 82.500 (84.919) Epoch: [80][560/11272] Time 0.840 (0.783) Data 0.002 (0.008) Loss 1.5164 (1.6146) Prec@1 59.375 (56.619) Prec@5 86.250 (84.901) Epoch: [80][570/11272] Time 0.763 (0.783) Data 0.001 (0.008) Loss 1.8197 (1.6157) Prec@1 50.000 (56.609) Prec@5 82.500 (84.876) Epoch: [80][580/11272] Time 0.737 (0.783) Data 0.001 (0.008) Loss 1.6414 (1.6160) Prec@1 53.125 (56.571) Prec@5 86.250 (84.884) Epoch: [80][590/11272] Time 0.820 (0.783) Data 0.001 (0.008) Loss 1.6283 (1.6162) Prec@1 54.375 (56.564) Prec@5 84.375 (84.890) Epoch: [80][600/11272] Time 0.840 (0.783) Data 0.001 (0.008) Loss 1.4814 (1.6164) Prec@1 58.750 (56.554) Prec@5 87.500 (84.878) Epoch: [80][610/11272] Time 0.743 (0.783) Data 0.002 (0.008) Loss 1.6433 (1.6165) Prec@1 57.500 (56.557) Prec@5 83.125 (84.890) Epoch: [80][620/11272] Time 0.828 (0.783) Data 0.003 (0.008) Loss 1.7434 (1.6170) Prec@1 57.500 (56.565) Prec@5 81.250 (84.874) Epoch: [80][630/11272] Time 0.815 (0.783) Data 0.001 (0.007) Loss 1.8653 (1.6170) Prec@1 47.500 (56.533) Prec@5 83.125 (84.876) Epoch: [80][640/11272] Time 0.713 (0.783) Data 0.001 (0.007) Loss 1.7161 (1.6176) Prec@1 54.375 (56.500) Prec@5 81.875 (84.879) Epoch: [80][650/11272] Time 0.703 (0.783) Data 0.001 (0.007) Loss 1.6612 (1.6188) Prec@1 53.125 (56.475) Prec@5 83.125 (84.860) Epoch: [80][660/11272] Time 0.829 (0.783) Data 0.001 (0.007) Loss 1.6772 (1.6188) Prec@1 56.250 (56.466) Prec@5 81.875 (84.853) Epoch: [80][670/11272] Time 0.825 (0.783) Data 0.002 (0.007) Loss 1.5004 (1.6179) Prec@1 57.500 (56.500) Prec@5 88.750 (84.865) Epoch: [80][680/11272] Time 0.710 (0.782) Data 0.001 (0.007) Loss 1.4620 (1.6177) Prec@1 58.750 (56.493) Prec@5 88.125 (84.868) Epoch: [80][690/11272] Time 0.736 (0.782) Data 0.002 (0.007) Loss 1.6864 (1.6168) Prec@1 55.625 (56.514) Prec@5 82.500 (84.872) Epoch: [80][700/11272] Time 0.826 (0.782) Data 0.001 (0.007) Loss 1.5543 (1.6171) Prec@1 56.250 (56.513) Prec@5 84.375 (84.864) Epoch: [80][710/11272] Time 0.831 (0.782) Data 0.002 (0.007) Loss 1.5397 (1.6175) Prec@1 60.625 (56.496) Prec@5 86.875 (84.860) Epoch: [80][720/11272] Time 0.738 (0.782) Data 0.002 (0.007) Loss 1.5756 (1.6167) Prec@1 60.000 (56.518) Prec@5 86.250 (84.877) Epoch: [80][730/11272] Time 0.715 (0.782) Data 0.001 (0.007) Loss 1.6792 (1.6169) Prec@1 56.875 (56.504) Prec@5 83.125 (84.881) Epoch: [80][740/11272] Time 0.845 (0.782) Data 0.002 (0.007) Loss 1.4864 (1.6173) Prec@1 59.375 (56.498) Prec@5 87.500 (84.876) Epoch: [80][750/11272] Time 0.702 (0.782) Data 0.003 (0.007) Loss 1.7712 (1.6166) Prec@1 51.875 (56.519) Prec@5 82.500 (84.887) Epoch: [80][760/11272] Time 0.691 (0.782) Data 0.002 (0.006) Loss 1.6582 (1.6167) Prec@1 54.375 (56.523) Prec@5 85.625 (84.876) Epoch: [80][770/11272] Time 0.860 (0.782) Data 0.001 (0.006) Loss 1.5097 (1.6171) Prec@1 51.875 (56.500) Prec@5 88.750 (84.879) Epoch: [80][780/11272] Time 0.839 (0.782) Data 0.002 (0.006) Loss 1.5614 (1.6173) Prec@1 57.500 (56.487) Prec@5 86.875 (84.867) Epoch: [80][790/11272] Time 0.715 (0.782) Data 0.001 (0.006) Loss 1.7136 (1.6177) Prec@1 55.625 (56.481) Prec@5 80.625 (84.858) Epoch: [80][800/11272] Time 0.722 (0.782) Data 0.002 (0.006) Loss 1.3367 (1.6173) Prec@1 63.125 (56.497) Prec@5 84.375 (84.853) Epoch: [80][810/11272] Time 0.858 (0.782) Data 0.002 (0.006) Loss 1.5053 (1.6176) Prec@1 64.375 (56.494) Prec@5 83.125 (84.852) Epoch: [80][820/11272] Time 0.822 (0.782) Data 0.002 (0.006) Loss 1.7530 (1.6177) Prec@1 51.250 (56.490) Prec@5 83.125 (84.859) Epoch: [80][830/11272] Time 0.761 (0.781) Data 0.002 (0.006) Loss 1.5652 (1.6176) Prec@1 55.625 (56.504) Prec@5 87.500 (84.851) Epoch: [80][840/11272] Time 0.693 (0.782) Data 0.001 (0.006) Loss 1.4835 (1.6181) Prec@1 60.000 (56.497) Prec@5 85.625 (84.839) Epoch: [80][850/11272] Time 0.838 (0.782) Data 0.001 (0.006) Loss 1.3342 (1.6182) Prec@1 61.875 (56.484) Prec@5 87.500 (84.840) Epoch: [80][860/11272] Time 0.830 (0.782) Data 0.002 (0.006) Loss 1.7006 (1.6189) Prec@1 56.250 (56.469) Prec@5 80.625 (84.819) Epoch: [80][870/11272] Time 0.741 (0.782) Data 0.002 (0.006) Loss 1.4591 (1.6182) Prec@1 60.625 (56.485) Prec@5 88.125 (84.831) Epoch: [80][880/11272] Time 0.842 (0.782) Data 0.002 (0.006) Loss 1.6951 (1.6185) Prec@1 53.125 (56.472) Prec@5 83.125 (84.824) Epoch: [80][890/11272] Time 0.832 (0.782) Data 0.003 (0.006) Loss 1.7282 (1.6194) Prec@1 52.500 (56.446) Prec@5 81.875 (84.803) Epoch: [80][900/11272] Time 0.728 (0.783) Data 0.002 (0.006) Loss 1.7889 (1.6194) Prec@1 56.875 (56.438) Prec@5 82.500 (84.805) Epoch: [80][910/11272] Time 0.730 (0.783) Data 0.002 (0.006) Loss 1.7323 (1.6191) Prec@1 53.125 (56.431) Prec@5 84.375 (84.809) Epoch: [80][920/11272] Time 0.872 (0.783) Data 0.002 (0.006) Loss 1.7353 (1.6196) Prec@1 52.500 (56.414) Prec@5 83.125 (84.800) Epoch: [80][930/11272] Time 0.858 (0.783) Data 0.001 (0.006) Loss 1.5614 (1.6198) Prec@1 58.125 (56.404) Prec@5 88.125 (84.808) Epoch: [80][940/11272] Time 0.722 (0.783) Data 0.001 (0.006) Loss 1.5645 (1.6193) Prec@1 56.875 (56.412) Prec@5 86.250 (84.822) Epoch: [80][950/11272] Time 0.729 (0.783) Data 0.001 (0.006) Loss 1.5102 (1.6192) Prec@1 62.500 (56.416) Prec@5 87.500 (84.815) Epoch: [80][960/11272] Time 0.828 (0.783) Data 0.001 (0.005) Loss 1.6132 (1.6186) Prec@1 53.750 (56.420) Prec@5 81.875 (84.820) Epoch: [80][970/11272] Time 0.839 (0.784) Data 0.002 (0.005) Loss 1.8325 (1.6188) Prec@1 54.375 (56.414) Prec@5 80.000 (84.811) Epoch: [80][980/11272] Time 0.725 (0.784) Data 0.001 (0.005) Loss 1.6162 (1.6186) Prec@1 53.750 (56.409) Prec@5 86.875 (84.810) Epoch: [80][990/11272] Time 0.722 (0.784) Data 0.002 (0.005) Loss 1.5595 (1.6186) Prec@1 62.500 (56.413) Prec@5 86.250 (84.811) Epoch: [80][1000/11272] Time 0.843 (0.784) Data 0.002 (0.005) Loss 1.4915 (1.6186) Prec@1 60.625 (56.434) Prec@5 83.750 (84.809) Epoch: [80][1010/11272] Time 0.862 (0.784) Data 0.002 (0.005) Loss 1.6959 (1.6190) Prec@1 55.625 (56.413) Prec@5 81.875 (84.805) Epoch: [80][1020/11272] Time 0.791 (0.784) Data 0.002 (0.005) Loss 1.6161 (1.6195) Prec@1 56.250 (56.412) Prec@5 85.625 (84.794) Epoch: [80][1030/11272] Time 0.870 (0.784) Data 0.003 (0.005) Loss 1.6738 (1.6197) Prec@1 55.000 (56.412) Prec@5 85.625 (84.801) Epoch: [80][1040/11272] Time 0.875 (0.784) Data 0.002 (0.005) Loss 1.6073 (1.6184) Prec@1 50.625 (56.431) Prec@5 86.250 (84.820) Epoch: [80][1050/11272] Time 0.717 (0.784) Data 0.001 (0.005) Loss 1.7479 (1.6183) Prec@1 56.250 (56.443) Prec@5 84.375 (84.807) Epoch: [80][1060/11272] Time 0.749 (0.785) Data 0.002 (0.005) Loss 1.3594 (1.6178) Prec@1 63.125 (56.455) Prec@5 88.125 (84.817) Epoch: [80][1070/11272] Time 0.834 (0.785) Data 0.002 (0.005) Loss 1.5918 (1.6173) Prec@1 56.250 (56.479) Prec@5 86.875 (84.824) Epoch: [80][1080/11272] Time 1.017 (0.785) Data 0.002 (0.005) Loss 1.6058 (1.6170) Prec@1 57.500 (56.489) Prec@5 86.875 (84.828) Epoch: [80][1090/11272] Time 0.759 (0.786) Data 0.002 (0.005) Loss 1.9315 (1.6180) Prec@1 47.500 (56.468) Prec@5 83.125 (84.814) Epoch: [80][1100/11272] Time 0.689 (0.786) Data 0.001 (0.005) Loss 1.6184 (1.6183) Prec@1 60.000 (56.467) Prec@5 81.875 (84.792) Epoch: [80][1110/11272] Time 0.884 (0.786) Data 0.002 (0.005) Loss 1.6948 (1.6184) Prec@1 60.625 (56.478) Prec@5 81.250 (84.788) Epoch: [80][1120/11272] Time 0.818 (0.787) Data 0.002 (0.005) Loss 1.4146 (1.6185) Prec@1 58.125 (56.480) Prec@5 88.125 (84.786) Epoch: [80][1130/11272] Time 0.802 (0.787) Data 0.003 (0.005) Loss 1.6635 (1.6185) Prec@1 56.875 (56.468) Prec@5 81.250 (84.780) Epoch: [80][1140/11272] Time 0.715 (0.787) Data 0.002 (0.005) Loss 1.6771 (1.6186) Prec@1 59.375 (56.460) Prec@5 84.375 (84.773) Epoch: [80][1150/11272] Time 0.830 (0.787) Data 0.002 (0.005) Loss 1.5251 (1.6189) Prec@1 57.500 (56.460) Prec@5 88.125 (84.770) Epoch: [80][1160/11272] Time 0.748 (0.787) Data 0.002 (0.005) Loss 1.5630 (1.6186) Prec@1 57.500 (56.469) Prec@5 82.500 (84.772) Epoch: [80][1170/11272] Time 0.727 (0.787) Data 0.002 (0.005) Loss 1.4790 (1.6185) Prec@1 60.625 (56.465) Prec@5 89.375 (84.776) Epoch: [80][1180/11272] Time 0.899 (0.787) Data 0.002 (0.005) Loss 1.6485 (1.6182) Prec@1 55.000 (56.473) Prec@5 86.250 (84.779) Epoch: [80][1190/11272] Time 0.869 (0.787) Data 0.002 (0.005) Loss 1.6636 (1.6182) Prec@1 51.250 (56.471) Prec@5 85.625 (84.779) Epoch: [80][1200/11272] Time 0.767 (0.788) Data 0.002 (0.005) Loss 1.4324 (1.6185) Prec@1 63.750 (56.465) Prec@5 88.125 (84.771) Epoch: [80][1210/11272] Time 0.705 (0.788) Data 0.001 (0.005) Loss 1.4055 (1.6183) Prec@1 61.875 (56.477) Prec@5 88.750 (84.771) Epoch: [80][1220/11272] Time 0.909 (0.788) Data 0.002 (0.005) Loss 1.4587 (1.6181) Prec@1 61.875 (56.486) Prec@5 87.500 (84.774) Epoch: [80][1230/11272] Time 0.849 (0.788) Data 0.002 (0.005) Loss 1.6980 (1.6191) Prec@1 56.250 (56.467) Prec@5 83.750 (84.762) Epoch: [80][1240/11272] Time 0.747 (0.788) Data 0.002 (0.005) Loss 1.5161 (1.6192) Prec@1 61.250 (56.464) Prec@5 87.500 (84.762) Epoch: [80][1250/11272] Time 0.729 (0.788) Data 0.002 (0.005) Loss 1.5397 (1.6193) Prec@1 55.625 (56.463) Prec@5 88.125 (84.758) Epoch: [80][1260/11272] Time 0.927 (0.789) Data 0.002 (0.005) Loss 1.8290 (1.6188) Prec@1 50.625 (56.476) Prec@5 81.875 (84.763) Epoch: [80][1270/11272] Time 0.873 (0.789) Data 0.002 (0.005) Loss 1.6049 (1.6186) Prec@1 54.375 (56.475) Prec@5 84.375 (84.764) Epoch: [80][1280/11272] Time 0.789 (0.789) Data 0.002 (0.005) Loss 1.3953 (1.6183) Prec@1 65.000 (56.477) Prec@5 86.250 (84.769) Epoch: [80][1290/11272] Time 0.851 (0.790) Data 0.001 (0.005) Loss 1.5157 (1.6181) Prec@1 62.500 (56.490) Prec@5 84.375 (84.768) Epoch: [80][1300/11272] Time 0.891 (0.790) Data 0.002 (0.005) Loss 1.8011 (1.6176) Prec@1 52.500 (56.501) Prec@5 80.625 (84.777) Epoch: [80][1310/11272] Time 0.754 (0.790) Data 0.002 (0.004) Loss 1.7468 (1.6178) Prec@1 53.750 (56.490) Prec@5 83.125 (84.773) Epoch: [80][1320/11272] Time 0.745 (0.790) Data 0.002 (0.004) Loss 1.4402 (1.6177) Prec@1 61.875 (56.486) Prec@5 84.375 (84.771) Epoch: [80][1330/11272] Time 0.891 (0.790) Data 0.002 (0.004) Loss 1.6378 (1.6175) Prec@1 54.375 (56.485) Prec@5 80.625 (84.767) Epoch: [80][1340/11272] Time 0.860 (0.790) Data 0.002 (0.004) Loss 1.6527 (1.6173) Prec@1 60.625 (56.498) Prec@5 84.375 (84.767) Epoch: [80][1350/11272] Time 0.764 (0.791) Data 0.002 (0.004) Loss 1.4708 (1.6172) Prec@1 60.000 (56.502) Prec@5 88.125 (84.770) Epoch: [80][1360/11272] Time 0.790 (0.791) Data 0.002 (0.004) Loss 1.3934 (1.6168) Prec@1 61.250 (56.523) Prec@5 87.500 (84.775) Epoch: [80][1370/11272] Time 0.857 (0.791) Data 0.002 (0.004) Loss 1.5211 (1.6165) Prec@1 53.750 (56.525) Prec@5 87.500 (84.781) Epoch: [80][1380/11272] Time 0.881 (0.791) Data 0.002 (0.004) Loss 1.7168 (1.6166) Prec@1 56.250 (56.520) Prec@5 81.875 (84.780) Epoch: [80][1390/11272] Time 0.734 (0.791) Data 0.002 (0.004) Loss 1.8271 (1.6169) Prec@1 53.750 (56.516) Prec@5 80.000 (84.778) Epoch: [80][1400/11272] Time 0.729 (0.792) Data 0.002 (0.004) Loss 1.7030 (1.6170) Prec@1 48.750 (56.517) Prec@5 86.250 (84.781) Epoch: [80][1410/11272] Time 0.864 (0.792) Data 0.002 (0.004) Loss 1.4728 (1.6167) Prec@1 61.250 (56.532) Prec@5 87.500 (84.787) Epoch: [80][1420/11272] Time 0.752 (0.792) Data 0.004 (0.004) Loss 1.5463 (1.6169) Prec@1 57.500 (56.523) Prec@5 87.500 (84.788) Epoch: [80][1430/11272] Time 0.762 (0.792) Data 0.002 (0.004) Loss 1.7328 (1.6170) Prec@1 55.625 (56.529) Prec@5 84.375 (84.790) Epoch: [80][1440/11272] Time 0.899 (0.792) Data 0.003 (0.004) Loss 1.6554 (1.6165) Prec@1 53.750 (56.542) Prec@5 86.250 (84.795) Epoch: [80][1450/11272] Time 0.831 (0.792) Data 0.002 (0.004) Loss 1.7984 (1.6171) Prec@1 47.500 (56.527) Prec@5 80.625 (84.793) Epoch: [80][1460/11272] Time 0.723 (0.792) Data 0.002 (0.004) Loss 1.6176 (1.6168) Prec@1 56.250 (56.539) Prec@5 87.500 (84.806) Epoch: [80][1470/11272] Time 0.769 (0.792) Data 0.002 (0.004) Loss 1.8031 (1.6167) Prec@1 52.500 (56.541) Prec@5 81.875 (84.813) Epoch: [80][1480/11272] Time 0.895 (0.792) Data 0.002 (0.004) Loss 1.6289 (1.6165) Prec@1 56.250 (56.545) Prec@5 84.375 (84.816) Epoch: [80][1490/11272] Time 0.864 (0.793) Data 0.003 (0.004) Loss 1.8964 (1.6169) Prec@1 55.000 (56.535) Prec@5 80.000 (84.810) Epoch: [80][1500/11272] Time 0.755 (0.792) Data 0.002 (0.004) Loss 1.5793 (1.6171) Prec@1 55.625 (56.530) Prec@5 86.875 (84.808) Epoch: [80][1510/11272] Time 0.750 (0.793) Data 0.002 (0.004) Loss 1.6425 (1.6174) Prec@1 55.625 (56.516) Prec@5 85.000 (84.809) Epoch: [80][1520/11272] Time 0.889 (0.793) Data 0.002 (0.004) Loss 1.4464 (1.6172) Prec@1 61.250 (56.521) Prec@5 88.750 (84.816) Epoch: [80][1530/11272] Time 0.832 (0.793) Data 0.001 (0.004) Loss 1.6638 (1.6172) Prec@1 54.375 (56.516) Prec@5 83.125 (84.815) Epoch: [80][1540/11272] Time 0.734 (0.793) Data 0.002 (0.004) Loss 1.5197 (1.6172) Prec@1 61.875 (56.518) Prec@5 85.625 (84.817) Epoch: [80][1550/11272] Time 0.873 (0.793) Data 0.002 (0.004) Loss 1.7204 (1.6174) Prec@1 57.500 (56.520) Prec@5 78.750 (84.811) Epoch: [80][1560/11272] Time 0.840 (0.793) Data 0.002 (0.004) Loss 1.6062 (1.6175) Prec@1 55.000 (56.521) Prec@5 85.625 (84.813) Epoch: [80][1570/11272] Time 0.769 (0.793) Data 0.002 (0.004) Loss 1.6282 (1.6172) Prec@1 54.375 (56.527) Prec@5 83.750 (84.820) Epoch: [80][1580/11272] Time 0.744 (0.793) Data 0.002 (0.004) Loss 1.4528 (1.6168) Prec@1 57.500 (56.531) Prec@5 87.500 (84.834) Epoch: [80][1590/11272] Time 0.870 (0.793) Data 0.001 (0.004) Loss 1.4626 (1.6169) Prec@1 55.625 (56.518) Prec@5 88.125 (84.830) Epoch: [80][1600/11272] Time 0.848 (0.793) Data 0.002 (0.004) Loss 1.6636 (1.6168) Prec@1 53.125 (56.523) Prec@5 82.500 (84.829) Epoch: [80][1610/11272] Time 0.789 (0.793) Data 0.002 (0.004) Loss 1.5364 (1.6166) Prec@1 58.125 (56.528) Prec@5 87.500 (84.829) Epoch: [80][1620/11272] Time 0.797 (0.794) Data 0.002 (0.004) Loss 1.7764 (1.6165) Prec@1 53.125 (56.540) Prec@5 84.375 (84.831) Epoch: [80][1630/11272] Time 0.860 (0.794) Data 0.002 (0.004) Loss 1.4668 (1.6161) Prec@1 61.250 (56.539) Prec@5 87.500 (84.842) Epoch: [80][1640/11272] Time 0.878 (0.794) Data 0.002 (0.004) Loss 1.5870 (1.6161) Prec@1 53.125 (56.536) Prec@5 85.000 (84.841) Epoch: [80][1650/11272] Time 0.733 (0.794) Data 0.002 (0.004) Loss 1.8436 (1.6163) Prec@1 56.875 (56.532) Prec@5 79.375 (84.836) Epoch: [80][1660/11272] Time 0.755 (0.794) Data 0.002 (0.004) Loss 1.5087 (1.6159) Prec@1 57.500 (56.539) Prec@5 84.375 (84.840) Epoch: [80][1670/11272] Time 0.900 (0.794) Data 0.002 (0.004) Loss 1.5657 (1.6152) Prec@1 56.875 (56.554) Prec@5 86.875 (84.855) Epoch: [80][1680/11272] Time 0.740 (0.794) Data 0.004 (0.004) Loss 1.7059 (1.6155) Prec@1 56.250 (56.554) Prec@5 83.750 (84.855) Epoch: [80][1690/11272] Time 0.733 (0.794) Data 0.002 (0.004) Loss 1.4918 (1.6154) Prec@1 59.375 (56.548) Prec@5 85.000 (84.859) Epoch: [80][1700/11272] Time 0.846 (0.794) Data 0.002 (0.004) Loss 1.5522 (1.6153) Prec@1 56.250 (56.542) Prec@5 84.375 (84.858) Epoch: [80][1710/11272] Time 0.928 (0.794) Data 0.002 (0.004) Loss 1.6988 (1.6151) Prec@1 58.125 (56.553) Prec@5 81.875 (84.856) Epoch: [80][1720/11272] Time 0.731 (0.794) Data 0.002 (0.004) Loss 1.7509 (1.6151) Prec@1 53.750 (56.556) Prec@5 80.625 (84.855) Epoch: [80][1730/11272] Time 0.720 (0.795) Data 0.002 (0.004) Loss 1.6031 (1.6150) Prec@1 60.625 (56.560) Prec@5 85.000 (84.857) Epoch: [80][1740/11272] Time 0.869 (0.795) Data 0.002 (0.004) Loss 1.5520 (1.6150) Prec@1 55.625 (56.555) Prec@5 83.125 (84.855) Epoch: [80][1750/11272] Time 0.839 (0.795) Data 0.003 (0.004) Loss 1.6342 (1.6150) Prec@1 60.000 (56.552) Prec@5 84.375 (84.860) Epoch: [80][1760/11272] Time 0.735 (0.795) Data 0.002 (0.004) Loss 1.6245 (1.6150) Prec@1 53.125 (56.546) Prec@5 85.000 (84.861) Epoch: [80][1770/11272] Time 0.747 (0.795) Data 0.002 (0.004) Loss 1.4969 (1.6150) Prec@1 58.125 (56.537) Prec@5 85.000 (84.850) Epoch: [80][1780/11272] Time 0.851 (0.795) Data 0.002 (0.004) Loss 1.6253 (1.6152) Prec@1 57.500 (56.534) Prec@5 86.250 (84.847) Epoch: [80][1790/11272] Time 0.846 (0.795) Data 0.001 (0.004) Loss 1.5323 (1.6156) Prec@1 60.625 (56.526) Prec@5 88.750 (84.843) Epoch: [80][1800/11272] Time 0.749 (0.795) Data 0.002 (0.004) Loss 1.6214 (1.6156) Prec@1 53.750 (56.523) Prec@5 85.000 (84.846) Epoch: [80][1810/11272] Time 0.889 (0.795) Data 0.003 (0.004) Loss 1.5028 (1.6158) Prec@1 59.375 (56.524) Prec@5 86.875 (84.848) Epoch: [80][1820/11272] Time 0.856 (0.795) Data 0.002 (0.004) Loss 1.5891 (1.6159) Prec@1 57.500 (56.514) Prec@5 87.500 (84.852) Epoch: [80][1830/11272] Time 0.748 (0.795) Data 0.002 (0.004) Loss 1.6866 (1.6158) Prec@1 55.000 (56.516) Prec@5 83.750 (84.851) Epoch: [80][1840/11272] Time 0.780 (0.795) Data 0.002 (0.004) Loss 1.7793 (1.6160) Prec@1 50.000 (56.509) Prec@5 84.375 (84.846) Epoch: [80][1850/11272] Time 0.910 (0.796) Data 0.001 (0.004) Loss 1.9232 (1.6160) Prec@1 50.000 (56.511) Prec@5 77.500 (84.844) Epoch: [80][1860/11272] Time 0.830 (0.796) Data 0.002 (0.004) Loss 1.4150 (1.6159) Prec@1 61.875 (56.518) Prec@5 87.500 (84.847) Epoch: [80][1870/11272] Time 0.713 (0.796) Data 0.001 (0.004) Loss 1.6415 (1.6154) Prec@1 58.125 (56.528) Prec@5 84.375 (84.853) Epoch: [80][1880/11272] Time 0.723 (0.796) Data 0.002 (0.004) Loss 1.6988 (1.6154) Prec@1 53.750 (56.526) Prec@5 82.500 (84.853) Epoch: [80][1890/11272] Time 0.873 (0.796) Data 0.002 (0.004) Loss 1.5901 (1.6152) Prec@1 59.375 (56.531) Prec@5 86.250 (84.865) Epoch: [80][1900/11272] Time 0.849 (0.796) Data 0.002 (0.004) Loss 1.6258 (1.6152) Prec@1 54.375 (56.527) Prec@5 85.625 (84.870) Epoch: [80][1910/11272] Time 0.719 (0.796) Data 0.002 (0.004) Loss 1.3007 (1.6151) Prec@1 62.500 (56.530) Prec@5 88.750 (84.870) Epoch: [80][1920/11272] Time 0.746 (0.796) Data 0.002 (0.004) Loss 1.3610 (1.6150) Prec@1 67.500 (56.538) Prec@5 88.125 (84.869) Epoch: [80][1930/11272] Time 0.823 (0.796) Data 0.002 (0.004) Loss 1.8168 (1.6149) Prec@1 50.625 (56.535) Prec@5 83.125 (84.871) Epoch: [80][1940/11272] Time 0.842 (0.796) Data 0.002 (0.004) Loss 1.6697 (1.6154) Prec@1 55.625 (56.528) Prec@5 85.000 (84.860) Epoch: [80][1950/11272] Time 0.714 (0.796) Data 0.002 (0.004) Loss 1.7262 (1.6155) Prec@1 54.375 (56.527) Prec@5 80.625 (84.859) Epoch: [80][1960/11272] Time 0.873 (0.796) Data 0.001 (0.004) Loss 1.5656 (1.6154) Prec@1 51.875 (56.526) Prec@5 85.625 (84.861) Epoch: [80][1970/11272] Time 0.795 (0.796) Data 0.001 (0.004) Loss 1.6425 (1.6155) Prec@1 58.125 (56.527) Prec@5 83.125 (84.860) Epoch: [80][1980/11272] Time 0.706 (0.795) Data 0.001 (0.004) Loss 1.4677 (1.6155) Prec@1 58.125 (56.531) Prec@5 86.875 (84.857) Epoch: [80][1990/11272] Time 0.713 (0.795) Data 0.002 (0.004) Loss 1.5465 (1.6155) Prec@1 60.625 (56.529) Prec@5 87.500 (84.858) Epoch: [80][2000/11272] Time 0.823 (0.795) Data 0.001 (0.004) Loss 1.5150 (1.6155) Prec@1 57.500 (56.533) Prec@5 88.750 (84.865) Epoch: [80][2010/11272] Time 0.841 (0.795) Data 0.001 (0.004) Loss 1.4167 (1.6153) Prec@1 58.750 (56.531) Prec@5 89.375 (84.866) Epoch: [80][2020/11272] Time 0.723 (0.795) Data 0.002 (0.004) Loss 1.6622 (1.6156) Prec@1 53.750 (56.526) Prec@5 83.125 (84.857) Epoch: [80][2030/11272] Time 0.736 (0.795) Data 0.002 (0.004) Loss 1.6802 (1.6157) Prec@1 55.000 (56.527) Prec@5 83.125 (84.853) Epoch: [80][2040/11272] Time 0.842 (0.795) Data 0.002 (0.004) Loss 1.4053 (1.6156) Prec@1 58.750 (56.529) Prec@5 91.250 (84.855) Epoch: [80][2050/11272] Time 0.843 (0.795) Data 0.002 (0.004) Loss 1.8710 (1.6156) Prec@1 53.750 (56.525) Prec@5 77.500 (84.858) Epoch: [80][2060/11272] Time 0.747 (0.795) Data 0.001 (0.004) Loss 1.7011 (1.6155) Prec@1 51.250 (56.527) Prec@5 82.500 (84.861) Epoch: [80][2070/11272] Time 0.739 (0.795) Data 0.002 (0.003) Loss 1.5991 (1.6160) Prec@1 55.625 (56.515) Prec@5 85.000 (84.855) Epoch: [80][2080/11272] Time 0.814 (0.795) Data 0.001 (0.003) Loss 1.5963 (1.6161) Prec@1 54.375 (56.512) Prec@5 84.375 (84.854) Epoch: [80][2090/11272] Time 0.734 (0.795) Data 0.001 (0.003) Loss 1.3950 (1.6158) Prec@1 60.000 (56.520) Prec@5 89.375 (84.863) Epoch: [80][2100/11272] Time 0.705 (0.795) Data 0.002 (0.003) Loss 1.6969 (1.6162) Prec@1 55.000 (56.514) Prec@5 83.750 (84.856) Epoch: [80][2110/11272] Time 0.836 (0.795) Data 0.001 (0.003) Loss 1.5350 (1.6164) Prec@1 60.625 (56.511) Prec@5 85.000 (84.855) Epoch: [80][2120/11272] Time 0.826 (0.795) Data 0.002 (0.003) Loss 1.7200 (1.6163) Prec@1 55.625 (56.513) Prec@5 85.000 (84.859) Epoch: [80][2130/11272] Time 0.723 (0.794) Data 0.002 (0.003) Loss 1.6475 (1.6163) Prec@1 53.125 (56.512) Prec@5 83.750 (84.857) Epoch: [80][2140/11272] Time 0.716 (0.794) Data 0.001 (0.003) Loss 1.4804 (1.6163) Prec@1 63.750 (56.511) Prec@5 89.375 (84.862) Epoch: [80][2150/11272] Time 0.851 (0.794) Data 0.002 (0.003) Loss 1.6750 (1.6164) Prec@1 56.250 (56.512) Prec@5 85.000 (84.862) Epoch: [80][2160/11272] Time 0.797 (0.794) Data 0.001 (0.003) Loss 1.6485 (1.6163) Prec@1 52.500 (56.512) Prec@5 83.750 (84.866) Epoch: [80][2170/11272] Time 0.712 (0.794) Data 0.002 (0.003) Loss 1.5969 (1.6161) Prec@1 54.375 (56.513) Prec@5 85.625 (84.869) Epoch: [80][2180/11272] Time 0.715 (0.794) Data 0.002 (0.003) Loss 1.4996 (1.6160) Prec@1 61.250 (56.519) Prec@5 86.250 (84.871) Epoch: [80][2190/11272] Time 0.832 (0.794) Data 0.002 (0.003) Loss 1.6563 (1.6160) Prec@1 52.500 (56.521) Prec@5 86.875 (84.869) Epoch: [80][2200/11272] Time 0.874 (0.794) Data 0.002 (0.003) Loss 1.6711 (1.6160) Prec@1 58.750 (56.523) Prec@5 83.125 (84.866) Epoch: [80][2210/11272] Time 0.715 (0.794) Data 0.002 (0.003) Loss 1.6021 (1.6162) Prec@1 55.625 (56.520) Prec@5 82.500 (84.865) Epoch: [80][2220/11272] Time 0.838 (0.794) Data 0.002 (0.003) Loss 1.5426 (1.6164) Prec@1 56.250 (56.515) Prec@5 88.125 (84.865) Epoch: [80][2230/11272] Time 0.812 (0.794) Data 0.001 (0.003) Loss 1.7032 (1.6162) Prec@1 52.500 (56.514) Prec@5 81.875 (84.867) Epoch: [80][2240/11272] Time 0.709 (0.793) Data 0.001 (0.003) Loss 1.6733 (1.6160) Prec@1 56.875 (56.523) Prec@5 86.250 (84.874) Epoch: [80][2250/11272] Time 0.734 (0.793) Data 0.002 (0.003) Loss 1.5679 (1.6159) Prec@1 50.000 (56.522) Prec@5 86.250 (84.878) Epoch: [80][2260/11272] Time 0.859 (0.793) Data 0.002 (0.003) Loss 1.7373 (1.6161) Prec@1 51.250 (56.512) Prec@5 82.500 (84.878) Epoch: [80][2270/11272] Time 0.841 (0.793) Data 0.002 (0.003) Loss 1.8370 (1.6160) Prec@1 46.250 (56.509) Prec@5 80.625 (84.883) Epoch: [80][2280/11272] Time 0.715 (0.793) Data 0.002 (0.003) Loss 1.3148 (1.6158) Prec@1 60.000 (56.508) Prec@5 90.000 (84.888) Epoch: [80][2290/11272] Time 0.719 (0.793) Data 0.002 (0.003) Loss 1.6727 (1.6158) Prec@1 55.000 (56.499) Prec@5 86.250 (84.890) Epoch: [80][2300/11272] Time 0.808 (0.793) Data 0.002 (0.003) Loss 1.8708 (1.6157) Prec@1 47.500 (56.499) Prec@5 82.500 (84.894) Epoch: [80][2310/11272] Time 0.823 (0.793) Data 0.002 (0.003) Loss 1.3863 (1.6157) Prec@1 62.500 (56.500) Prec@5 89.375 (84.894) Epoch: [80][2320/11272] Time 0.710 (0.793) Data 0.001 (0.003) Loss 1.6284 (1.6158) Prec@1 55.000 (56.499) Prec@5 83.125 (84.894) Epoch: [80][2330/11272] Time 0.740 (0.793) Data 0.001 (0.003) Loss 1.5576 (1.6158) Prec@1 58.750 (56.499) Prec@5 86.250 (84.893) Epoch: [80][2340/11272] Time 0.780 (0.793) Data 0.001 (0.003) Loss 1.8007 (1.6160) Prec@1 55.000 (56.496) Prec@5 82.500 (84.892) Epoch: [80][2350/11272] Time 0.715 (0.793) Data 0.003 (0.003) Loss 1.5864 (1.6160) Prec@1 59.375 (56.496) Prec@5 83.750 (84.892) Epoch: [80][2360/11272] Time 0.714 (0.793) Data 0.002 (0.003) Loss 1.6999 (1.6159) Prec@1 54.375 (56.497) Prec@5 79.375 (84.889) Epoch: [80][2370/11272] Time 0.837 (0.793) Data 0.002 (0.003) Loss 1.5135 (1.6158) Prec@1 64.375 (56.508) Prec@5 86.250 (84.892) Epoch: [80][2380/11272] Time 0.808 (0.793) Data 0.002 (0.003) Loss 1.3379 (1.6156) Prec@1 63.750 (56.514) Prec@5 88.125 (84.897) Epoch: [80][2390/11272] Time 0.730 (0.793) Data 0.002 (0.003) Loss 1.5912 (1.6156) Prec@1 55.000 (56.513) Prec@5 85.000 (84.899) Epoch: [80][2400/11272] Time 0.732 (0.793) Data 0.001 (0.003) Loss 1.5095 (1.6157) Prec@1 58.750 (56.513) Prec@5 85.625 (84.893) Epoch: [80][2410/11272] Time 0.819 (0.793) Data 0.002 (0.003) Loss 1.3977 (1.6157) Prec@1 62.500 (56.511) Prec@5 88.125 (84.894) Epoch: [80][2420/11272] Time 0.874 (0.793) Data 0.001 (0.003) Loss 1.3525 (1.6159) Prec@1 67.500 (56.504) Prec@5 88.125 (84.891) Epoch: [80][2430/11272] Time 0.705 (0.792) Data 0.002 (0.003) Loss 1.5341 (1.6158) Prec@1 54.375 (56.495) Prec@5 87.500 (84.893) Epoch: [80][2440/11272] Time 0.752 (0.792) Data 0.002 (0.003) Loss 1.7038 (1.6160) Prec@1 53.750 (56.493) Prec@5 82.500 (84.890) Epoch: [80][2450/11272] Time 0.818 (0.792) Data 0.002 (0.003) Loss 1.5539 (1.6162) Prec@1 54.375 (56.477) Prec@5 82.500 (84.886) Epoch: [80][2460/11272] Time 0.815 (0.792) Data 0.001 (0.003) Loss 1.6299 (1.6164) Prec@1 57.500 (56.476) Prec@5 82.500 (84.883) Epoch: [80][2470/11272] Time 0.712 (0.792) Data 0.002 (0.003) Loss 1.4665 (1.6162) Prec@1 57.500 (56.479) Prec@5 89.375 (84.883) Epoch: [80][2480/11272] Time 0.888 (0.792) Data 0.001 (0.003) Loss 1.6441 (1.6163) Prec@1 54.375 (56.480) Prec@5 85.000 (84.883) Epoch: [80][2490/11272] Time 0.856 (0.792) Data 0.002 (0.003) Loss 1.6400 (1.6162) Prec@1 53.125 (56.482) Prec@5 86.250 (84.884) Epoch: [80][2500/11272] Time 0.706 (0.792) Data 0.001 (0.003) Loss 1.2491 (1.6160) Prec@1 63.750 (56.484) Prec@5 91.875 (84.890) Epoch: [80][2510/11272] Time 0.725 (0.792) Data 0.002 (0.003) Loss 1.4817 (1.6158) Prec@1 57.500 (56.481) Prec@5 88.750 (84.892) Epoch: [80][2520/11272] Time 0.787 (0.792) Data 0.001 (0.003) Loss 1.7069 (1.6161) Prec@1 56.875 (56.473) Prec@5 84.375 (84.890) Epoch: [80][2530/11272] Time 0.800 (0.792) Data 0.001 (0.003) Loss 1.5933 (1.6160) Prec@1 58.750 (56.477) Prec@5 81.250 (84.892) Epoch: [80][2540/11272] Time 0.723 (0.792) Data 0.001 (0.003) Loss 1.4873 (1.6159) Prec@1 60.000 (56.476) Prec@5 85.625 (84.896) Epoch: [80][2550/11272] Time 0.737 (0.792) Data 0.002 (0.003) Loss 1.5064 (1.6160) Prec@1 55.625 (56.477) Prec@5 87.500 (84.894) Epoch: [80][2560/11272] Time 0.823 (0.792) Data 0.002 (0.003) Loss 1.8149 (1.6159) Prec@1 57.500 (56.483) Prec@5 78.125 (84.894) Epoch: [80][2570/11272] Time 0.818 (0.792) Data 0.002 (0.003) Loss 1.6756 (1.6160) Prec@1 50.625 (56.479) Prec@5 85.000 (84.897) Epoch: [80][2580/11272] Time 0.727 (0.792) Data 0.002 (0.003) Loss 1.6349 (1.6162) Prec@1 58.125 (56.474) Prec@5 84.375 (84.894) Epoch: [80][2590/11272] Time 0.697 (0.791) Data 0.001 (0.003) Loss 1.3477 (1.6163) Prec@1 62.500 (56.479) Prec@5 88.750 (84.894) Epoch: [80][2600/11272] Time 0.829 (0.791) Data 0.002 (0.003) Loss 1.5843 (1.6164) Prec@1 58.125 (56.476) Prec@5 86.250 (84.888) Epoch: [80][2610/11272] Time 0.745 (0.791) Data 0.003 (0.003) Loss 1.4122 (1.6164) Prec@1 60.625 (56.473) Prec@5 88.125 (84.889) Epoch: [80][2620/11272] Time 0.735 (0.791) Data 0.002 (0.003) Loss 1.5896 (1.6165) Prec@1 54.375 (56.467) Prec@5 87.500 (84.894) Epoch: [80][2630/11272] Time 0.826 (0.791) Data 0.001 (0.003) Loss 1.7046 (1.6164) Prec@1 55.000 (56.466) Prec@5 83.125 (84.897) Epoch: [80][2640/11272] Time 0.841 (0.791) Data 0.001 (0.003) Loss 1.7465 (1.6166) Prec@1 53.125 (56.463) Prec@5 82.500 (84.891) Epoch: [80][2650/11272] Time 0.718 (0.791) Data 0.001 (0.003) Loss 1.9251 (1.6168) Prec@1 51.875 (56.460) Prec@5 78.750 (84.891) Epoch: [80][2660/11272] Time 0.749 (0.791) Data 0.001 (0.003) Loss 1.7527 (1.6170) Prec@1 55.625 (56.452) Prec@5 81.875 (84.886) Epoch: [80][2670/11272] Time 0.827 (0.791) Data 0.001 (0.003) Loss 1.5367 (1.6170) Prec@1 58.750 (56.452) Prec@5 85.000 (84.886) Epoch: [80][2680/11272] Time 0.819 (0.791) Data 0.002 (0.003) Loss 1.6749 (1.6168) Prec@1 53.750 (56.453) Prec@5 81.250 (84.888) Epoch: [80][2690/11272] Time 0.720 (0.791) Data 0.002 (0.003) Loss 1.7969 (1.6167) Prec@1 57.500 (56.454) Prec@5 81.875 (84.892) Epoch: [80][2700/11272] Time 0.733 (0.791) Data 0.002 (0.003) Loss 1.5428 (1.6166) Prec@1 60.000 (56.457) Prec@5 87.500 (84.888) Epoch: [80][2710/11272] Time 0.891 (0.791) Data 0.002 (0.003) Loss 1.6738 (1.6166) Prec@1 53.125 (56.460) Prec@5 84.375 (84.892) Epoch: [80][2720/11272] Time 0.824 (0.791) Data 0.001 (0.003) Loss 1.8652 (1.6167) Prec@1 53.750 (56.456) Prec@5 78.125 (84.889) Epoch: [80][2730/11272] Time 0.709 (0.791) Data 0.002 (0.003) Loss 1.6097 (1.6168) Prec@1 56.250 (56.455) Prec@5 85.625 (84.886) Epoch: [80][2740/11272] Time 0.829 (0.791) Data 0.002 (0.003) Loss 1.4790 (1.6169) Prec@1 58.125 (56.451) Prec@5 88.750 (84.883) Epoch: [80][2750/11272] Time 0.825 (0.791) Data 0.002 (0.003) Loss 1.9007 (1.6169) Prec@1 50.625 (56.452) Prec@5 80.000 (84.879) Epoch: [80][2760/11272] Time 0.727 (0.791) Data 0.002 (0.003) Loss 1.5445 (1.6167) Prec@1 60.625 (56.454) Prec@5 85.000 (84.880) Epoch: [80][2770/11272] Time 0.717 (0.790) Data 0.001 (0.003) Loss 1.5636 (1.6166) Prec@1 55.000 (56.451) Prec@5 85.625 (84.882) Epoch: [80][2780/11272] Time 0.814 (0.790) Data 0.001 (0.003) Loss 1.6645 (1.6164) Prec@1 53.125 (56.456) Prec@5 84.375 (84.882) Epoch: [80][2790/11272] Time 0.857 (0.790) Data 0.001 (0.003) Loss 1.6812 (1.6166) Prec@1 58.125 (56.454) Prec@5 85.625 (84.882) Epoch: [80][2800/11272] Time 0.689 (0.790) Data 0.001 (0.003) Loss 1.5527 (1.6166) Prec@1 58.125 (56.453) Prec@5 86.250 (84.882) Epoch: [80][2810/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.4553 (1.6165) Prec@1 56.875 (56.456) Prec@5 88.750 (84.888) Epoch: [80][2820/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.9047 (1.6168) Prec@1 55.625 (56.451) Prec@5 78.750 (84.884) Epoch: [80][2830/11272] Time 0.808 (0.790) Data 0.002 (0.003) Loss 1.4199 (1.6166) Prec@1 66.250 (56.456) Prec@5 88.125 (84.890) Epoch: [80][2840/11272] Time 0.744 (0.790) Data 0.002 (0.003) Loss 1.6001 (1.6168) Prec@1 55.625 (56.446) Prec@5 85.000 (84.885) Epoch: [80][2850/11272] Time 0.734 (0.790) Data 0.002 (0.003) Loss 1.7090 (1.6169) Prec@1 51.250 (56.445) Prec@5 81.875 (84.881) Epoch: [80][2860/11272] Time 0.799 (0.790) Data 0.001 (0.003) Loss 1.7623 (1.6171) Prec@1 56.875 (56.442) Prec@5 81.875 (84.879) Epoch: [80][2870/11272] Time 0.850 (0.790) Data 0.002 (0.003) Loss 1.5258 (1.6172) Prec@1 58.750 (56.440) Prec@5 86.250 (84.877) Epoch: [80][2880/11272] Time 0.753 (0.790) Data 0.002 (0.003) Loss 1.5517 (1.6171) Prec@1 58.125 (56.442) Prec@5 85.625 (84.879) Epoch: [80][2890/11272] Time 0.867 (0.790) Data 0.001 (0.003) Loss 1.5810 (1.6170) Prec@1 55.625 (56.447) Prec@5 85.625 (84.878) Epoch: [80][2900/11272] Time 0.828 (0.790) Data 0.002 (0.003) Loss 1.7258 (1.6169) Prec@1 57.500 (56.451) Prec@5 85.000 (84.877) Epoch: [80][2910/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.7244 (1.6169) Prec@1 54.375 (56.454) Prec@5 84.375 (84.879) Epoch: [80][2920/11272] Time 0.715 (0.790) Data 0.002 (0.003) Loss 1.8386 (1.6172) Prec@1 52.500 (56.448) Prec@5 80.625 (84.875) Epoch: [80][2930/11272] Time 0.816 (0.790) Data 0.002 (0.003) Loss 1.5918 (1.6171) Prec@1 53.750 (56.450) Prec@5 88.125 (84.873) Epoch: [80][2940/11272] Time 0.811 (0.790) Data 0.002 (0.003) Loss 1.6363 (1.6169) Prec@1 55.000 (56.450) Prec@5 85.000 (84.879) Epoch: [80][2950/11272] Time 0.715 (0.790) Data 0.002 (0.003) Loss 1.5696 (1.6171) Prec@1 56.875 (56.441) Prec@5 84.375 (84.874) Epoch: [80][2960/11272] Time 0.710 (0.790) Data 0.002 (0.003) Loss 1.7677 (1.6172) Prec@1 54.375 (56.442) Prec@5 84.375 (84.877) Epoch: [80][2970/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.4694 (1.6171) Prec@1 58.750 (56.441) Prec@5 86.250 (84.881) Epoch: [80][2980/11272] Time 0.804 (0.790) Data 0.002 (0.003) Loss 1.7395 (1.6171) Prec@1 55.000 (56.441) Prec@5 85.000 (84.879) Epoch: [80][2990/11272] Time 0.724 (0.790) Data 0.002 (0.003) Loss 1.8156 (1.6173) Prec@1 49.375 (56.437) Prec@5 81.250 (84.874) Epoch: [80][3000/11272] Time 0.703 (0.789) Data 0.001 (0.003) Loss 1.7614 (1.6174) Prec@1 53.125 (56.437) Prec@5 82.500 (84.874) Epoch: [80][3010/11272] Time 0.828 (0.789) Data 0.001 (0.003) Loss 1.6248 (1.6175) Prec@1 53.125 (56.433) Prec@5 85.000 (84.871) Epoch: [80][3020/11272] Time 0.753 (0.789) Data 0.001 (0.003) Loss 1.5470 (1.6177) Prec@1 59.375 (56.430) Prec@5 83.750 (84.869) Epoch: [80][3030/11272] Time 0.726 (0.789) Data 0.001 (0.003) Loss 1.7025 (1.6175) Prec@1 54.375 (56.430) Prec@5 81.875 (84.871) Epoch: [80][3040/11272] Time 0.829 (0.789) Data 0.001 (0.003) Loss 1.6744 (1.6176) Prec@1 53.125 (56.428) Prec@5 84.375 (84.872) Epoch: [80][3050/11272] Time 0.836 (0.789) Data 0.002 (0.003) Loss 1.9246 (1.6177) Prec@1 53.125 (56.429) Prec@5 80.000 (84.867) Epoch: [80][3060/11272] Time 0.709 (0.789) Data 0.002 (0.003) Loss 1.6062 (1.6178) Prec@1 56.875 (56.431) Prec@5 84.375 (84.864) Epoch: [80][3070/11272] Time 0.740 (0.789) Data 0.001 (0.003) Loss 1.3734 (1.6179) Prec@1 61.250 (56.430) Prec@5 91.875 (84.863) Epoch: [80][3080/11272] Time 0.823 (0.789) Data 0.002 (0.003) Loss 1.6820 (1.6179) Prec@1 53.125 (56.429) Prec@5 83.750 (84.864) Epoch: [80][3090/11272] Time 0.847 (0.789) Data 0.002 (0.003) Loss 1.5955 (1.6179) Prec@1 61.250 (56.434) Prec@5 85.000 (84.864) Epoch: [80][3100/11272] Time 0.705 (0.789) Data 0.001 (0.003) Loss 1.3444 (1.6177) Prec@1 65.000 (56.440) Prec@5 84.375 (84.866) Epoch: [80][3110/11272] Time 0.741 (0.789) Data 0.002 (0.003) Loss 1.5710 (1.6175) Prec@1 55.625 (56.442) Prec@5 85.000 (84.871) Epoch: [80][3120/11272] Time 0.826 (0.789) Data 0.002 (0.003) Loss 1.5947 (1.6174) Prec@1 55.000 (56.449) Prec@5 86.875 (84.868) Epoch: [80][3130/11272] Time 0.822 (0.789) Data 0.002 (0.003) Loss 1.6231 (1.6175) Prec@1 52.500 (56.448) Prec@5 85.625 (84.868) Epoch: [80][3140/11272] Time 0.703 (0.789) Data 0.001 (0.003) Loss 1.5443 (1.6172) Prec@1 60.625 (56.453) Prec@5 86.250 (84.873) Epoch: [80][3150/11272] Time 0.829 (0.789) Data 0.002 (0.003) Loss 1.7625 (1.6172) Prec@1 50.625 (56.448) Prec@5 81.250 (84.875) Epoch: [80][3160/11272] Time 0.854 (0.789) Data 0.001 (0.003) Loss 1.6763 (1.6172) Prec@1 58.750 (56.448) Prec@5 83.125 (84.877) Epoch: [80][3170/11272] Time 0.730 (0.789) Data 0.001 (0.003) Loss 1.6156 (1.6171) Prec@1 57.500 (56.453) Prec@5 85.000 (84.878) Epoch: [80][3180/11272] Time 0.710 (0.789) Data 0.002 (0.003) Loss 1.5683 (1.6171) Prec@1 54.375 (56.451) Prec@5 84.375 (84.879) Epoch: [80][3190/11272] Time 0.812 (0.789) Data 0.001 (0.003) Loss 1.8392 (1.6172) Prec@1 56.875 (56.451) Prec@5 82.500 (84.878) Epoch: [80][3200/11272] Time 0.843 (0.789) Data 0.002 (0.003) Loss 1.5338 (1.6170) Prec@1 51.250 (56.449) Prec@5 84.375 (84.883) Epoch: [80][3210/11272] Time 0.765 (0.789) Data 0.002 (0.003) Loss 1.4605 (1.6170) Prec@1 58.750 (56.448) Prec@5 86.875 (84.882) Epoch: [80][3220/11272] Time 0.702 (0.789) Data 0.002 (0.003) Loss 1.6758 (1.6173) Prec@1 57.500 (56.445) Prec@5 80.000 (84.880) Epoch: [80][3230/11272] Time 0.842 (0.789) Data 0.002 (0.003) Loss 1.7110 (1.6172) Prec@1 51.875 (56.446) Prec@5 83.125 (84.880) Epoch: [80][3240/11272] Time 0.821 (0.789) Data 0.001 (0.003) Loss 1.5808 (1.6173) Prec@1 60.625 (56.441) Prec@5 84.375 (84.877) Epoch: [80][3250/11272] Time 0.729 (0.788) Data 0.002 (0.003) Loss 1.7480 (1.6175) Prec@1 55.625 (56.436) Prec@5 84.375 (84.875) Epoch: [80][3260/11272] Time 0.707 (0.788) Data 0.001 (0.003) Loss 1.7720 (1.6178) Prec@1 52.500 (56.426) Prec@5 81.250 (84.868) Epoch: [80][3270/11272] Time 0.785 (0.788) Data 0.001 (0.003) Loss 1.5707 (1.6178) Prec@1 53.125 (56.421) Prec@5 85.625 (84.869) Epoch: [80][3280/11272] Time 0.724 (0.788) Data 0.003 (0.003) Loss 1.6346 (1.6177) Prec@1 58.125 (56.424) Prec@5 83.750 (84.875) Epoch: [80][3290/11272] Time 0.746 (0.788) Data 0.002 (0.003) Loss 1.5794 (1.6178) Prec@1 56.250 (56.420) Prec@5 85.625 (84.873) Epoch: [80][3300/11272] Time 0.809 (0.788) Data 0.001 (0.003) Loss 1.5493 (1.6179) Prec@1 58.125 (56.414) Prec@5 83.750 (84.868) Epoch: [80][3310/11272] Time 0.828 (0.788) Data 0.002 (0.003) Loss 1.6648 (1.6179) Prec@1 55.000 (56.416) Prec@5 81.250 (84.869) Epoch: [80][3320/11272] Time 0.741 (0.788) Data 0.002 (0.003) Loss 1.3773 (1.6180) Prec@1 60.000 (56.414) Prec@5 88.750 (84.867) Epoch: [80][3330/11272] Time 0.711 (0.788) Data 0.001 (0.003) Loss 1.5031 (1.6179) Prec@1 60.625 (56.420) Prec@5 86.250 (84.869) Epoch: [80][3340/11272] Time 0.834 (0.788) Data 0.001 (0.003) Loss 1.7653 (1.6181) Prec@1 53.750 (56.417) Prec@5 81.875 (84.864) Epoch: [80][3350/11272] Time 0.807 (0.788) Data 0.001 (0.003) Loss 1.8352 (1.6182) Prec@1 50.625 (56.413) Prec@5 80.000 (84.862) Epoch: [80][3360/11272] Time 0.711 (0.788) Data 0.002 (0.003) Loss 1.7067 (1.6183) Prec@1 56.875 (56.415) Prec@5 83.750 (84.860) Epoch: [80][3370/11272] Time 0.725 (0.788) Data 0.002 (0.003) Loss 1.6753 (1.6183) Prec@1 48.125 (56.414) Prec@5 88.125 (84.861) Epoch: [80][3380/11272] Time 0.812 (0.788) Data 0.001 (0.003) Loss 1.5796 (1.6182) Prec@1 54.375 (56.418) Prec@5 84.375 (84.862) Epoch: [80][3390/11272] Time 0.835 (0.788) Data 0.001 (0.003) Loss 1.6254 (1.6182) Prec@1 51.875 (56.417) Prec@5 85.000 (84.860) Epoch: [80][3400/11272] Time 0.693 (0.788) Data 0.001 (0.003) Loss 1.6269 (1.6184) Prec@1 54.375 (56.413) Prec@5 84.375 (84.854) Epoch: [80][3410/11272] Time 0.846 (0.788) Data 0.001 (0.003) Loss 1.6876 (1.6185) Prec@1 51.250 (56.411) Prec@5 80.625 (84.854) Epoch: [80][3420/11272] Time 0.803 (0.788) Data 0.002 (0.003) Loss 1.6556 (1.6186) Prec@1 55.625 (56.408) Prec@5 81.250 (84.854) Epoch: [80][3430/11272] Time 0.719 (0.788) Data 0.001 (0.003) Loss 1.5781 (1.6187) Prec@1 58.125 (56.406) Prec@5 85.625 (84.855) Epoch: [80][3440/11272] Time 0.740 (0.788) Data 0.002 (0.003) Loss 1.5901 (1.6188) Prec@1 60.000 (56.404) Prec@5 82.500 (84.856) Epoch: [80][3450/11272] Time 0.812 (0.788) Data 0.001 (0.003) Loss 1.5877 (1.6187) Prec@1 53.750 (56.401) Prec@5 85.625 (84.854) Epoch: [80][3460/11272] Time 0.813 (0.788) Data 0.002 (0.003) Loss 1.6595 (1.6188) Prec@1 53.750 (56.398) Prec@5 85.000 (84.856) Epoch: [80][3470/11272] Time 0.709 (0.788) Data 0.001 (0.003) Loss 1.6891 (1.6187) Prec@1 55.000 (56.399) Prec@5 83.750 (84.855) Epoch: [80][3480/11272] Time 0.732 (0.788) Data 0.002 (0.003) Loss 1.7222 (1.6188) Prec@1 53.125 (56.393) Prec@5 81.875 (84.855) Epoch: [80][3490/11272] Time 0.810 (0.787) Data 0.001 (0.003) Loss 1.5827 (1.6185) Prec@1 56.250 (56.398) Prec@5 83.750 (84.857) Epoch: [80][3500/11272] Time 0.862 (0.787) Data 0.002 (0.003) Loss 1.6505 (1.6186) Prec@1 58.750 (56.398) Prec@5 85.000 (84.858) Epoch: [80][3510/11272] Time 0.746 (0.787) Data 0.002 (0.003) Loss 1.5249 (1.6187) Prec@1 55.000 (56.396) Prec@5 88.125 (84.859) Epoch: [80][3520/11272] Time 0.775 (0.787) Data 0.002 (0.003) Loss 1.6927 (1.6189) Prec@1 48.125 (56.395) Prec@5 86.250 (84.856) Epoch: [80][3530/11272] Time 0.808 (0.787) Data 0.001 (0.003) Loss 1.2808 (1.6186) Prec@1 66.875 (56.406) Prec@5 90.000 (84.859) Epoch: [80][3540/11272] Time 0.713 (0.787) Data 0.003 (0.003) Loss 1.6749 (1.6184) Prec@1 56.875 (56.410) Prec@5 83.125 (84.862) Epoch: [80][3550/11272] Time 0.698 (0.787) Data 0.001 (0.003) Loss 1.5236 (1.6185) Prec@1 57.500 (56.409) Prec@5 85.000 (84.860) Epoch: [80][3560/11272] Time 0.797 (0.787) Data 0.001 (0.003) Loss 1.5378 (1.6188) Prec@1 58.750 (56.404) Prec@5 88.125 (84.857) Epoch: [80][3570/11272] Time 0.834 (0.787) Data 0.002 (0.003) Loss 1.7698 (1.6189) Prec@1 53.125 (56.401) Prec@5 82.500 (84.855) Epoch: [80][3580/11272] Time 0.731 (0.787) Data 0.002 (0.003) Loss 1.6829 (1.6190) Prec@1 56.250 (56.400) Prec@5 84.375 (84.855) Epoch: [80][3590/11272] Time 0.706 (0.787) Data 0.002 (0.003) Loss 1.8316 (1.6188) Prec@1 53.750 (56.404) Prec@5 78.750 (84.857) Epoch: [80][3600/11272] Time 0.830 (0.787) Data 0.002 (0.003) Loss 1.6218 (1.6187) Prec@1 54.375 (56.407) Prec@5 85.000 (84.861) Epoch: [80][3610/11272] Time 0.809 (0.787) Data 0.002 (0.003) Loss 1.5048 (1.6187) Prec@1 60.000 (56.411) Prec@5 86.250 (84.863) Epoch: [80][3620/11272] Time 0.705 (0.787) Data 0.001 (0.003) Loss 1.8755 (1.6187) Prec@1 51.875 (56.410) Prec@5 82.500 (84.862) Epoch: [80][3630/11272] Time 0.744 (0.787) Data 0.002 (0.003) Loss 1.7210 (1.6188) Prec@1 51.250 (56.407) Prec@5 84.375 (84.861) Epoch: [80][3640/11272] Time 0.815 (0.787) Data 0.001 (0.003) Loss 1.6460 (1.6189) Prec@1 60.625 (56.405) Prec@5 83.750 (84.858) Epoch: [80][3650/11272] Time 0.813 (0.787) Data 0.001 (0.003) Loss 1.6874 (1.6188) Prec@1 56.875 (56.408) Prec@5 84.375 (84.861) Epoch: [80][3660/11272] Time 0.743 (0.787) Data 0.001 (0.003) Loss 1.6325 (1.6187) Prec@1 60.000 (56.415) Prec@5 86.875 (84.861) Epoch: [80][3670/11272] Time 0.870 (0.787) Data 0.001 (0.003) Loss 1.2864 (1.6186) Prec@1 66.250 (56.418) Prec@5 91.250 (84.862) Epoch: [80][3680/11272] Time 0.821 (0.787) Data 0.001 (0.003) Loss 1.5246 (1.6187) Prec@1 58.750 (56.418) Prec@5 85.625 (84.859) Epoch: [80][3690/11272] Time 0.740 (0.787) Data 0.001 (0.003) Loss 1.4956 (1.6189) Prec@1 57.500 (56.414) Prec@5 86.875 (84.855) Epoch: [80][3700/11272] Time 0.735 (0.787) Data 0.001 (0.003) Loss 1.3664 (1.6188) Prec@1 60.625 (56.417) Prec@5 89.375 (84.857) Epoch: [80][3710/11272] Time 0.836 (0.787) Data 0.001 (0.003) Loss 1.7305 (1.6187) Prec@1 52.500 (56.420) Prec@5 83.750 (84.856) Epoch: [80][3720/11272] Time 0.827 (0.787) Data 0.001 (0.003) Loss 1.5430 (1.6187) Prec@1 55.625 (56.419) Prec@5 86.250 (84.854) Epoch: [80][3730/11272] Time 0.693 (0.787) Data 0.001 (0.003) Loss 1.4217 (1.6186) Prec@1 55.625 (56.416) Prec@5 83.750 (84.856) Epoch: [80][3740/11272] Time 0.724 (0.787) Data 0.002 (0.003) Loss 1.5005 (1.6185) Prec@1 60.625 (56.415) Prec@5 86.250 (84.857) Epoch: [80][3750/11272] Time 0.801 (0.787) Data 0.002 (0.003) Loss 1.8775 (1.6185) Prec@1 53.125 (56.419) Prec@5 80.625 (84.858) Epoch: [80][3760/11272] Time 0.824 (0.787) Data 0.001 (0.003) Loss 1.7457 (1.6186) Prec@1 53.125 (56.415) Prec@5 82.500 (84.858) Epoch: [80][3770/11272] Time 0.712 (0.787) Data 0.002 (0.003) Loss 1.3886 (1.6183) Prec@1 53.125 (56.420) Prec@5 89.375 (84.864) Epoch: [80][3780/11272] Time 0.717 (0.786) Data 0.001 (0.003) Loss 1.7902 (1.6182) Prec@1 52.500 (56.416) Prec@5 85.625 (84.867) Epoch: [80][3790/11272] Time 0.808 (0.786) Data 0.002 (0.003) Loss 1.7525 (1.6185) Prec@1 50.000 (56.407) Prec@5 83.125 (84.863) Epoch: [80][3800/11272] Time 0.800 (0.786) Data 0.002 (0.003) Loss 1.6794 (1.6186) Prec@1 51.250 (56.403) Prec@5 83.750 (84.860) Epoch: [80][3810/11272] Time 0.720 (0.786) Data 0.002 (0.003) Loss 1.4333 (1.6186) Prec@1 55.625 (56.398) Prec@5 85.625 (84.860) Epoch: [80][3820/11272] Time 0.835 (0.786) Data 0.001 (0.003) Loss 1.7434 (1.6185) Prec@1 51.250 (56.397) Prec@5 85.000 (84.861) Epoch: [80][3830/11272] Time 0.805 (0.786) Data 0.002 (0.003) Loss 1.4713 (1.6185) Prec@1 63.125 (56.399) Prec@5 88.750 (84.861) Epoch: [80][3840/11272] Time 0.722 (0.786) Data 0.002 (0.003) Loss 1.6260 (1.6186) Prec@1 53.125 (56.395) Prec@5 83.125 (84.856) Epoch: [80][3850/11272] Time 0.714 (0.786) Data 0.002 (0.003) Loss 1.7360 (1.6185) Prec@1 51.250 (56.399) Prec@5 83.750 (84.855) Epoch: [80][3860/11272] Time 0.819 (0.786) Data 0.001 (0.003) Loss 1.6099 (1.6184) Prec@1 54.375 (56.401) Prec@5 84.375 (84.857) Epoch: [80][3870/11272] Time 0.821 (0.786) Data 0.001 (0.003) Loss 1.5776 (1.6183) Prec@1 55.625 (56.403) Prec@5 86.250 (84.858) Epoch: [80][3880/11272] Time 0.728 (0.786) Data 0.002 (0.003) Loss 1.8441 (1.6186) Prec@1 51.875 (56.398) Prec@5 78.750 (84.855) Epoch: [80][3890/11272] Time 0.737 (0.786) Data 0.001 (0.003) Loss 1.5815 (1.6186) Prec@1 52.500 (56.394) Prec@5 85.000 (84.857) Epoch: [80][3900/11272] Time 0.824 (0.786) Data 0.001 (0.003) Loss 1.6629 (1.6188) Prec@1 55.000 (56.388) Prec@5 83.125 (84.850) Epoch: [80][3910/11272] Time 0.820 (0.786) Data 0.001 (0.003) Loss 1.5679 (1.6188) Prec@1 51.250 (56.386) Prec@5 86.250 (84.850) Epoch: [80][3920/11272] Time 0.743 (0.786) Data 0.002 (0.003) Loss 1.5753 (1.6188) Prec@1 57.500 (56.388) Prec@5 84.375 (84.847) Epoch: [80][3930/11272] Time 0.732 (0.786) Data 0.002 (0.003) Loss 1.7013 (1.6188) Prec@1 54.375 (56.385) Prec@5 85.000 (84.847) Epoch: [80][3940/11272] Time 0.818 (0.786) Data 0.001 (0.003) Loss 1.4596 (1.6190) Prec@1 56.875 (56.381) Prec@5 86.250 (84.845) Epoch: [80][3950/11272] Time 0.712 (0.786) Data 0.001 (0.003) Loss 1.4497 (1.6190) Prec@1 60.625 (56.385) Prec@5 85.625 (84.842) Epoch: [80][3960/11272] Time 0.727 (0.786) Data 0.002 (0.003) Loss 1.8871 (1.6190) Prec@1 48.125 (56.386) Prec@5 78.750 (84.841) Epoch: [80][3970/11272] Time 0.821 (0.786) Data 0.002 (0.003) Loss 1.8192 (1.6191) Prec@1 49.375 (56.386) Prec@5 85.000 (84.839) Epoch: [80][3980/11272] Time 0.827 (0.786) Data 0.002 (0.003) Loss 1.7879 (1.6192) Prec@1 55.625 (56.385) Prec@5 81.875 (84.836) Epoch: [80][3990/11272] Time 0.719 (0.786) Data 0.002 (0.003) Loss 1.7288 (1.6194) Prec@1 57.500 (56.381) Prec@5 84.375 (84.835) Epoch: [80][4000/11272] Time 0.724 (0.786) Data 0.001 (0.003) Loss 1.8063 (1.6194) Prec@1 49.375 (56.380) Prec@5 81.250 (84.833) Epoch: [80][4010/11272] Time 0.838 (0.786) Data 0.002 (0.003) Loss 1.5512 (1.6195) Prec@1 59.375 (56.380) Prec@5 83.750 (84.831) Epoch: [80][4020/11272] Time 0.822 (0.786) Data 0.002 (0.003) Loss 1.8723 (1.6196) Prec@1 49.375 (56.379) Prec@5 76.875 (84.829) Epoch: [80][4030/11272] Time 0.710 (0.786) Data 0.001 (0.003) Loss 1.6816 (1.6195) Prec@1 53.125 (56.378) Prec@5 83.125 (84.830) Epoch: [80][4040/11272] Time 0.687 (0.786) Data 0.001 (0.003) Loss 1.4122 (1.6197) Prec@1 58.125 (56.375) Prec@5 87.500 (84.824) Epoch: [80][4050/11272] Time 0.813 (0.786) Data 0.002 (0.003) Loss 1.6138 (1.6197) Prec@1 55.000 (56.377) Prec@5 87.500 (84.826) Epoch: [80][4060/11272] Time 0.821 (0.786) Data 0.001 (0.003) Loss 1.5484 (1.6195) Prec@1 56.250 (56.383) Prec@5 84.375 (84.827) Epoch: [80][4070/11272] Time 0.729 (0.786) Data 0.002 (0.003) Loss 1.3782 (1.6197) Prec@1 61.875 (56.380) Prec@5 88.750 (84.824) Epoch: [80][4080/11272] Time 0.835 (0.786) Data 0.002 (0.003) Loss 1.5302 (1.6197) Prec@1 56.875 (56.378) Prec@5 82.500 (84.822) Epoch: [80][4090/11272] Time 0.823 (0.786) Data 0.001 (0.003) Loss 1.5077 (1.6196) Prec@1 59.375 (56.381) Prec@5 87.500 (84.825) Epoch: [80][4100/11272] Time 0.744 (0.786) Data 0.001 (0.003) Loss 1.6392 (1.6197) Prec@1 56.875 (56.379) Prec@5 84.375 (84.825) Epoch: [80][4110/11272] Time 0.711 (0.786) Data 0.002 (0.003) Loss 1.8274 (1.6198) Prec@1 55.625 (56.378) Prec@5 80.625 (84.822) Epoch: [80][4120/11272] Time 0.819 (0.786) Data 0.001 (0.003) Loss 1.3830 (1.6198) Prec@1 57.500 (56.374) Prec@5 88.125 (84.824) Epoch: [80][4130/11272] Time 0.796 (0.786) Data 0.001 (0.003) Loss 1.7732 (1.6198) Prec@1 50.000 (56.373) Prec@5 81.250 (84.821) Epoch: [80][4140/11272] Time 0.739 (0.786) Data 0.002 (0.003) Loss 1.6802 (1.6198) Prec@1 55.000 (56.372) Prec@5 82.500 (84.823) Epoch: [80][4150/11272] Time 0.710 (0.786) Data 0.001 (0.003) Loss 1.7063 (1.6199) Prec@1 55.000 (56.369) Prec@5 86.875 (84.822) Epoch: [80][4160/11272] Time 0.881 (0.786) Data 0.002 (0.003) Loss 1.5806 (1.6200) Prec@1 51.875 (56.364) Prec@5 86.250 (84.818) Epoch: [80][4170/11272] Time 0.845 (0.786) Data 0.001 (0.003) Loss 1.3384 (1.6199) Prec@1 61.875 (56.366) Prec@5 88.750 (84.817) Epoch: [80][4180/11272] Time 0.709 (0.786) Data 0.001 (0.003) Loss 1.7766 (1.6200) Prec@1 54.375 (56.363) Prec@5 76.875 (84.816) Epoch: [80][4190/11272] Time 0.713 (0.786) Data 0.002 (0.003) Loss 1.4469 (1.6200) Prec@1 63.750 (56.362) Prec@5 88.750 (84.816) Epoch: [80][4200/11272] Time 0.852 (0.785) Data 0.002 (0.003) Loss 1.7223 (1.6201) Prec@1 50.625 (56.355) Prec@5 83.125 (84.813) Epoch: [80][4210/11272] Time 0.729 (0.785) Data 0.002 (0.003) Loss 1.7925 (1.6202) Prec@1 52.500 (56.352) Prec@5 83.125 (84.812) Epoch: [80][4220/11272] Time 0.752 (0.785) Data 0.001 (0.003) Loss 1.6670 (1.6203) Prec@1 56.250 (56.348) Prec@5 85.000 (84.810) Epoch: [80][4230/11272] Time 0.823 (0.785) Data 0.001 (0.003) Loss 1.4188 (1.6201) Prec@1 55.000 (56.347) Prec@5 90.625 (84.814) Epoch: [80][4240/11272] Time 0.837 (0.785) Data 0.001 (0.003) Loss 1.8168 (1.6203) Prec@1 50.625 (56.344) Prec@5 81.250 (84.811) Epoch: [80][4250/11272] Time 0.733 (0.785) Data 0.002 (0.002) Loss 1.6385 (1.6203) Prec@1 54.375 (56.346) Prec@5 83.750 (84.809) Epoch: [80][4260/11272] Time 0.690 (0.785) Data 0.001 (0.002) Loss 1.6683 (1.6203) Prec@1 56.875 (56.347) Prec@5 82.500 (84.807) Epoch: [80][4270/11272] Time 0.849 (0.785) Data 0.002 (0.002) Loss 1.4516 (1.6203) Prec@1 59.375 (56.346) Prec@5 87.500 (84.808) Epoch: [80][4280/11272] Time 0.818 (0.785) Data 0.002 (0.002) Loss 1.4503 (1.6202) Prec@1 61.250 (56.344) Prec@5 85.625 (84.808) Epoch: [80][4290/11272] Time 0.715 (0.785) Data 0.002 (0.002) Loss 1.4067 (1.6202) Prec@1 60.625 (56.345) Prec@5 86.875 (84.809) Epoch: [80][4300/11272] Time 0.698 (0.785) Data 0.001 (0.002) Loss 1.5324 (1.6201) Prec@1 59.375 (56.350) Prec@5 88.125 (84.810) Epoch: [80][4310/11272] Time 0.855 (0.785) Data 0.002 (0.002) Loss 1.6775 (1.6201) Prec@1 53.125 (56.349) Prec@5 81.250 (84.808) Epoch: [80][4320/11272] Time 0.835 (0.785) Data 0.001 (0.002) Loss 1.6012 (1.6201) Prec@1 55.625 (56.350) Prec@5 86.875 (84.809) Epoch: [80][4330/11272] Time 0.722 (0.785) Data 0.002 (0.002) Loss 1.3794 (1.6200) Prec@1 62.500 (56.348) Prec@5 87.500 (84.812) Epoch: [80][4340/11272] Time 0.815 (0.785) Data 0.001 (0.002) Loss 1.6263 (1.6201) Prec@1 51.250 (56.345) Prec@5 86.875 (84.813) Epoch: [80][4350/11272] Time 0.859 (0.785) Data 0.001 (0.002) Loss 1.5677 (1.6202) Prec@1 58.750 (56.343) Prec@5 82.500 (84.810) Epoch: [80][4360/11272] Time 0.789 (0.785) Data 0.002 (0.002) Loss 1.7718 (1.6202) Prec@1 51.250 (56.340) Prec@5 85.000 (84.810) Epoch: [80][4370/11272] Time 0.793 (0.785) Data 0.001 (0.002) Loss 1.4610 (1.6201) Prec@1 64.375 (56.342) Prec@5 86.250 (84.814) Epoch: [80][4380/11272] Time 0.816 (0.785) Data 0.001 (0.002) Loss 1.7395 (1.6200) Prec@1 53.750 (56.345) Prec@5 83.125 (84.813) Epoch: [80][4390/11272] Time 0.811 (0.785) Data 0.001 (0.002) Loss 1.6580 (1.6201) Prec@1 59.375 (56.345) Prec@5 86.875 (84.813) Epoch: [80][4400/11272] Time 0.737 (0.785) Data 0.001 (0.002) Loss 1.6503 (1.6201) Prec@1 57.500 (56.343) Prec@5 83.750 (84.811) Epoch: [80][4410/11272] Time 0.737 (0.785) Data 0.002 (0.002) Loss 1.6750 (1.6201) Prec@1 56.875 (56.339) Prec@5 84.375 (84.810) Epoch: [80][4420/11272] Time 0.794 (0.785) Data 0.001 (0.002) Loss 1.7004 (1.6202) Prec@1 55.000 (56.340) Prec@5 85.000 (84.810) Epoch: [80][4430/11272] Time 0.834 (0.785) Data 0.002 (0.002) Loss 1.7579 (1.6203) Prec@1 55.000 (56.340) Prec@5 83.125 (84.808) Epoch: [80][4440/11272] Time 0.717 (0.785) Data 0.002 (0.002) Loss 1.5934 (1.6203) Prec@1 56.875 (56.338) Prec@5 83.125 (84.809) Epoch: [80][4450/11272] Time 0.682 (0.785) Data 0.001 (0.002) Loss 1.6241 (1.6203) Prec@1 51.250 (56.340) Prec@5 86.875 (84.808) Epoch: [80][4460/11272] Time 0.852 (0.785) Data 0.001 (0.002) Loss 1.8171 (1.6204) Prec@1 54.375 (56.338) Prec@5 85.000 (84.809) Epoch: [80][4470/11272] Time 0.713 (0.785) Data 0.003 (0.002) Loss 1.5758 (1.6204) Prec@1 57.500 (56.338) Prec@5 85.000 (84.808) Epoch: [80][4480/11272] Time 0.734 (0.785) Data 0.001 (0.002) Loss 1.3866 (1.6204) Prec@1 61.250 (56.339) Prec@5 86.875 (84.806) Epoch: [80][4490/11272] Time 0.832 (0.785) Data 0.002 (0.002) Loss 1.6646 (1.6206) Prec@1 55.000 (56.332) Prec@5 82.500 (84.803) Epoch: [80][4500/11272] Time 0.820 (0.785) Data 0.002 (0.002) Loss 1.8637 (1.6208) Prec@1 49.375 (56.332) Prec@5 80.000 (84.799) Epoch: [80][4510/11272] Time 0.701 (0.785) Data 0.001 (0.002) Loss 1.6664 (1.6209) Prec@1 59.375 (56.330) Prec@5 82.500 (84.795) Epoch: [80][4520/11272] Time 0.705 (0.785) Data 0.002 (0.002) Loss 1.4967 (1.6208) Prec@1 55.625 (56.332) Prec@5 86.250 (84.795) Epoch: [80][4530/11272] Time 0.814 (0.785) Data 0.002 (0.002) Loss 1.5017 (1.6207) Prec@1 56.875 (56.334) Prec@5 84.375 (84.798) Epoch: [80][4540/11272] Time 0.804 (0.785) Data 0.001 (0.002) Loss 1.6353 (1.6207) Prec@1 54.375 (56.335) Prec@5 83.125 (84.799) Epoch: [80][4550/11272] Time 0.713 (0.785) Data 0.002 (0.002) Loss 1.5476 (1.6206) Prec@1 58.750 (56.338) Prec@5 87.500 (84.800) Epoch: [80][4560/11272] Time 0.703 (0.785) Data 0.001 (0.002) Loss 1.8885 (1.6207) Prec@1 51.875 (56.336) Prec@5 77.500 (84.795) Epoch: [80][4570/11272] Time 0.847 (0.785) Data 0.002 (0.002) Loss 1.8494 (1.6209) Prec@1 51.875 (56.332) Prec@5 80.000 (84.794) Epoch: [80][4580/11272] Time 0.866 (0.785) Data 0.002 (0.002) Loss 1.7677 (1.6209) Prec@1 50.625 (56.332) Prec@5 82.500 (84.793) Epoch: [80][4590/11272] Time 0.733 (0.785) Data 0.001 (0.002) Loss 1.6316 (1.6209) Prec@1 55.625 (56.334) Prec@5 81.250 (84.791) Epoch: [80][4600/11272] Time 0.888 (0.785) Data 0.002 (0.002) Loss 1.6143 (1.6209) Prec@1 53.750 (56.333) Prec@5 85.000 (84.790) Epoch: [80][4610/11272] Time 0.850 (0.785) Data 0.001 (0.002) Loss 1.7079 (1.6209) Prec@1 52.500 (56.333) Prec@5 81.875 (84.788) Epoch: [80][4620/11272] Time 0.713 (0.785) Data 0.001 (0.002) Loss 1.7984 (1.6210) Prec@1 51.875 (56.332) Prec@5 81.250 (84.788) Epoch: [80][4630/11272] Time 0.738 (0.785) Data 0.001 (0.002) Loss 1.5719 (1.6210) Prec@1 54.375 (56.330) Prec@5 88.125 (84.787) Epoch: [80][4640/11272] Time 0.806 (0.785) Data 0.001 (0.002) Loss 1.4940 (1.6211) Prec@1 60.625 (56.329) Prec@5 88.750 (84.787) Epoch: [80][4650/11272] Time 0.890 (0.785) Data 0.002 (0.002) Loss 1.4568 (1.6210) Prec@1 61.250 (56.332) Prec@5 88.750 (84.787) Epoch: [80][4660/11272] Time 0.743 (0.785) Data 0.002 (0.002) Loss 1.6052 (1.6210) Prec@1 58.125 (56.332) Prec@5 85.625 (84.787) Epoch: [80][4670/11272] Time 0.765 (0.785) Data 0.005 (0.002) Loss 1.5335 (1.6209) Prec@1 55.625 (56.334) Prec@5 87.500 (84.787) Epoch: [80][4680/11272] Time 0.829 (0.785) Data 0.002 (0.002) Loss 1.5245 (1.6208) Prec@1 56.250 (56.336) Prec@5 86.250 (84.789) Epoch: [80][4690/11272] Time 0.815 (0.785) Data 0.002 (0.002) Loss 1.2673 (1.6207) Prec@1 64.375 (56.339) Prec@5 88.125 (84.789) Epoch: [80][4700/11272] Time 0.764 (0.785) Data 0.002 (0.002) Loss 1.6887 (1.6207) Prec@1 56.250 (56.340) Prec@5 86.250 (84.792) Epoch: [80][4710/11272] Time 0.726 (0.785) Data 0.002 (0.002) Loss 1.4816 (1.6207) Prec@1 61.875 (56.342) Prec@5 86.250 (84.788) Epoch: [80][4720/11272] Time 0.852 (0.785) Data 0.002 (0.002) Loss 1.5897 (1.6207) Prec@1 56.250 (56.344) Prec@5 87.500 (84.790) Epoch: [80][4730/11272] Time 0.816 (0.785) Data 0.001 (0.002) Loss 1.6662 (1.6208) Prec@1 55.625 (56.342) Prec@5 83.750 (84.788) Epoch: [80][4740/11272] Time 0.715 (0.785) Data 0.001 (0.002) Loss 1.4849 (1.6207) Prec@1 58.750 (56.345) Prec@5 85.000 (84.787) Epoch: [80][4750/11272] Time 0.828 (0.784) Data 0.001 (0.002) Loss 1.5397 (1.6206) Prec@1 57.500 (56.349) Prec@5 83.750 (84.789) Epoch: [80][4760/11272] Time 0.810 (0.784) Data 0.002 (0.002) Loss 1.8933 (1.6206) Prec@1 48.750 (56.352) Prec@5 78.750 (84.788) Epoch: [80][4770/11272] Time 0.721 (0.784) Data 0.001 (0.002) Loss 1.9351 (1.6208) Prec@1 48.125 (56.344) Prec@5 78.750 (84.785) Epoch: [80][4780/11272] Time 0.733 (0.784) Data 0.001 (0.002) Loss 1.6289 (1.6208) Prec@1 53.750 (56.341) Prec@5 84.375 (84.783) Epoch: [80][4790/11272] Time 0.854 (0.784) Data 0.001 (0.002) Loss 1.5154 (1.6209) Prec@1 58.125 (56.341) Prec@5 86.250 (84.784) Epoch: [80][4800/11272] Time 0.816 (0.784) Data 0.002 (0.002) Loss 1.6298 (1.6210) Prec@1 53.125 (56.337) Prec@5 86.250 (84.782) Epoch: [80][4810/11272] Time 0.708 (0.784) Data 0.002 (0.002) Loss 1.5063 (1.6210) Prec@1 58.125 (56.336) Prec@5 90.625 (84.781) Epoch: [80][4820/11272] Time 0.713 (0.784) Data 0.002 (0.002) Loss 1.6558 (1.6210) Prec@1 57.500 (56.336) Prec@5 81.875 (84.780) Epoch: [80][4830/11272] Time 0.837 (0.784) Data 0.002 (0.002) Loss 1.5259 (1.6209) Prec@1 56.250 (56.336) Prec@5 85.625 (84.780) Epoch: [80][4840/11272] Time 0.819 (0.784) Data 0.001 (0.002) Loss 1.7886 (1.6210) Prec@1 55.625 (56.332) Prec@5 80.000 (84.779) Epoch: [80][4850/11272] Time 0.714 (0.784) Data 0.002 (0.002) Loss 1.6486 (1.6209) Prec@1 56.250 (56.333) Prec@5 86.250 (84.782) Epoch: [80][4860/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.6306 (1.6208) Prec@1 55.000 (56.337) Prec@5 88.125 (84.785) Epoch: [80][4870/11272] Time 0.881 (0.784) Data 0.001 (0.002) Loss 1.6785 (1.6208) Prec@1 56.875 (56.337) Prec@5 86.250 (84.785) Epoch: [80][4880/11272] Time 0.726 (0.784) Data 0.001 (0.002) Loss 1.7279 (1.6209) Prec@1 55.625 (56.337) Prec@5 86.250 (84.785) Epoch: [80][4890/11272] Time 0.733 (0.784) Data 0.002 (0.002) Loss 1.6769 (1.6209) Prec@1 58.125 (56.337) Prec@5 82.500 (84.783) Epoch: [80][4900/11272] Time 0.798 (0.784) Data 0.001 (0.002) Loss 1.7371 (1.6210) Prec@1 53.125 (56.336) Prec@5 80.625 (84.783) Epoch: [80][4910/11272] Time 0.810 (0.784) Data 0.002 (0.002) Loss 1.5327 (1.6210) Prec@1 55.000 (56.336) Prec@5 85.625 (84.783) Epoch: [80][4920/11272] Time 0.713 (0.784) Data 0.001 (0.002) Loss 1.7937 (1.6209) Prec@1 50.625 (56.337) Prec@5 83.125 (84.783) Epoch: [80][4930/11272] Time 0.725 (0.784) Data 0.001 (0.002) Loss 1.6827 (1.6210) Prec@1 53.125 (56.336) Prec@5 84.375 (84.783) Epoch: [80][4940/11272] Time 0.830 (0.784) Data 0.002 (0.002) Loss 1.5972 (1.6211) Prec@1 56.875 (56.334) Prec@5 84.375 (84.780) Epoch: [80][4950/11272] Time 0.836 (0.784) Data 0.002 (0.002) Loss 1.4905 (1.6211) Prec@1 60.625 (56.333) Prec@5 88.125 (84.781) Epoch: [80][4960/11272] Time 0.752 (0.784) Data 0.002 (0.002) Loss 1.6490 (1.6213) Prec@1 58.125 (56.331) Prec@5 86.875 (84.777) Epoch: [80][4970/11272] Time 0.746 (0.784) Data 0.001 (0.002) Loss 1.5327 (1.6212) Prec@1 57.500 (56.337) Prec@5 87.500 (84.779) Epoch: [80][4980/11272] Time 0.823 (0.784) Data 0.002 (0.002) Loss 1.4844 (1.6212) Prec@1 60.000 (56.337) Prec@5 86.250 (84.778) Epoch: [80][4990/11272] Time 0.789 (0.784) Data 0.001 (0.002) Loss 1.5208 (1.6213) Prec@1 55.000 (56.334) Prec@5 86.875 (84.778) Epoch: [80][5000/11272] Time 0.741 (0.784) Data 0.001 (0.002) Loss 1.8696 (1.6213) Prec@1 50.625 (56.332) Prec@5 85.000 (84.778) Epoch: [80][5010/11272] Time 0.919 (0.784) Data 0.001 (0.002) Loss 1.5952 (1.6213) Prec@1 55.625 (56.333) Prec@5 84.375 (84.778) Epoch: [80][5020/11272] Time 0.813 (0.784) Data 0.001 (0.002) Loss 2.0070 (1.6214) Prec@1 52.500 (56.333) Prec@5 79.375 (84.774) Epoch: [80][5030/11272] Time 0.728 (0.784) Data 0.002 (0.002) Loss 1.6742 (1.6215) Prec@1 55.625 (56.331) Prec@5 82.500 (84.773) Epoch: [80][5040/11272] Time 0.735 (0.784) Data 0.001 (0.002) Loss 1.6060 (1.6216) Prec@1 57.500 (56.331) Prec@5 83.750 (84.770) Epoch: [80][5050/11272] Time 0.829 (0.784) Data 0.001 (0.002) Loss 1.3710 (1.6214) Prec@1 66.250 (56.334) Prec@5 86.250 (84.773) Epoch: [80][5060/11272] Time 0.816 (0.784) Data 0.002 (0.002) Loss 1.5031 (1.6216) Prec@1 60.000 (56.332) Prec@5 83.125 (84.771) Epoch: [80][5070/11272] Time 0.691 (0.784) Data 0.001 (0.002) Loss 1.6716 (1.6217) Prec@1 55.000 (56.329) Prec@5 81.250 (84.769) Epoch: [80][5080/11272] Time 0.707 (0.784) Data 0.001 (0.002) Loss 1.7499 (1.6216) Prec@1 56.875 (56.331) Prec@5 81.875 (84.769) Epoch: [80][5090/11272] Time 0.856 (0.784) Data 0.002 (0.002) Loss 1.5243 (1.6217) Prec@1 60.625 (56.332) Prec@5 87.500 (84.769) Epoch: [80][5100/11272] Time 0.824 (0.784) Data 0.002 (0.002) Loss 1.6710 (1.6217) Prec@1 55.625 (56.332) Prec@5 82.500 (84.767) Epoch: [80][5110/11272] Time 0.710 (0.784) Data 0.001 (0.002) Loss 1.5932 (1.6218) Prec@1 60.000 (56.331) Prec@5 80.000 (84.765) Epoch: [80][5120/11272] Time 0.745 (0.784) Data 0.002 (0.002) Loss 1.8628 (1.6218) Prec@1 55.000 (56.333) Prec@5 77.500 (84.767) Epoch: [80][5130/11272] Time 0.809 (0.784) Data 0.001 (0.002) Loss 1.6577 (1.6218) Prec@1 57.500 (56.334) Prec@5 83.750 (84.768) Epoch: [80][5140/11272] Time 0.741 (0.784) Data 0.004 (0.002) Loss 1.5095 (1.6218) Prec@1 59.375 (56.332) Prec@5 85.000 (84.767) Epoch: [80][5150/11272] Time 0.743 (0.784) Data 0.001 (0.002) Loss 1.6955 (1.6220) Prec@1 51.250 (56.328) Prec@5 86.250 (84.765) Epoch: [80][5160/11272] Time 0.796 (0.784) Data 0.001 (0.002) Loss 1.5769 (1.6218) Prec@1 57.500 (56.331) Prec@5 85.000 (84.769) Epoch: [80][5170/11272] Time 0.813 (0.784) Data 0.001 (0.002) Loss 1.6011 (1.6217) Prec@1 58.125 (56.331) Prec@5 86.250 (84.772) Epoch: [80][5180/11272] Time 0.713 (0.784) Data 0.001 (0.002) Loss 1.9120 (1.6218) Prec@1 56.250 (56.328) Prec@5 78.125 (84.769) Epoch: [80][5190/11272] Time 0.721 (0.784) Data 0.002 (0.002) Loss 1.5959 (1.6218) Prec@1 57.500 (56.332) Prec@5 87.500 (84.770) Epoch: [80][5200/11272] Time 0.812 (0.784) Data 0.001 (0.002) Loss 1.3789 (1.6217) Prec@1 63.750 (56.335) Prec@5 89.375 (84.771) Epoch: [80][5210/11272] Time 0.807 (0.784) Data 0.001 (0.002) Loss 1.7875 (1.6217) Prec@1 54.375 (56.336) Prec@5 81.875 (84.772) Epoch: [80][5220/11272] Time 0.743 (0.784) Data 0.002 (0.002) Loss 1.5635 (1.6217) Prec@1 58.125 (56.335) Prec@5 84.375 (84.769) Epoch: [80][5230/11272] Time 0.733 (0.784) Data 0.001 (0.002) Loss 1.6440 (1.6218) Prec@1 52.500 (56.336) Prec@5 80.625 (84.768) Epoch: [80][5240/11272] Time 0.846 (0.784) Data 0.002 (0.002) Loss 1.7499 (1.6218) Prec@1 51.250 (56.333) Prec@5 81.875 (84.766) Epoch: [80][5250/11272] Time 0.816 (0.784) Data 0.001 (0.002) Loss 1.3900 (1.6217) Prec@1 64.375 (56.338) Prec@5 88.750 (84.768) Epoch: [80][5260/11272] Time 0.772 (0.784) Data 0.002 (0.002) Loss 1.7519 (1.6217) Prec@1 53.125 (56.340) Prec@5 83.125 (84.765) Epoch: [80][5270/11272] Time 0.826 (0.784) Data 0.001 (0.002) Loss 1.3815 (1.6216) Prec@1 65.625 (56.341) Prec@5 87.500 (84.766) Epoch: [80][5280/11272] Time 0.818 (0.784) Data 0.001 (0.002) Loss 1.7780 (1.6217) Prec@1 57.500 (56.341) Prec@5 82.500 (84.767) Epoch: [80][5290/11272] Time 0.719 (0.784) Data 0.001 (0.002) Loss 1.5606 (1.6217) Prec@1 58.125 (56.342) Prec@5 85.625 (84.765) Epoch: [80][5300/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.8221 (1.6217) Prec@1 51.250 (56.344) Prec@5 81.875 (84.765) Epoch: [80][5310/11272] Time 0.825 (0.784) Data 0.001 (0.002) Loss 1.9722 (1.6220) Prec@1 53.125 (56.338) Prec@5 80.000 (84.761) Epoch: [80][5320/11272] Time 0.858 (0.784) Data 0.001 (0.002) Loss 1.2604 (1.6221) Prec@1 65.000 (56.337) Prec@5 95.000 (84.762) Epoch: [80][5330/11272] Time 0.709 (0.784) Data 0.002 (0.002) Loss 1.4877 (1.6222) Prec@1 54.375 (56.334) Prec@5 87.500 (84.759) Epoch: [80][5340/11272] Time 0.708 (0.784) Data 0.001 (0.002) Loss 1.8012 (1.6222) Prec@1 55.000 (56.333) Prec@5 83.750 (84.757) Epoch: [80][5350/11272] Time 0.830 (0.784) Data 0.001 (0.002) Loss 1.6435 (1.6223) Prec@1 56.250 (56.331) Prec@5 85.000 (84.756) Epoch: [80][5360/11272] Time 0.813 (0.784) Data 0.001 (0.002) Loss 1.6888 (1.6224) Prec@1 57.500 (56.329) Prec@5 83.125 (84.753) Epoch: [80][5370/11272] Time 0.722 (0.784) Data 0.002 (0.002) Loss 1.9804 (1.6224) Prec@1 50.625 (56.331) Prec@5 78.125 (84.753) Epoch: [80][5380/11272] Time 0.759 (0.784) Data 0.002 (0.002) Loss 1.8454 (1.6225) Prec@1 53.750 (56.326) Prec@5 79.375 (84.752) Epoch: [80][5390/11272] Time 0.822 (0.784) Data 0.001 (0.002) Loss 1.7741 (1.6226) Prec@1 53.750 (56.325) Prec@5 82.500 (84.750) Epoch: [80][5400/11272] Time 0.723 (0.784) Data 0.003 (0.002) Loss 1.5999 (1.6226) Prec@1 55.625 (56.324) Prec@5 85.625 (84.750) Epoch: [80][5410/11272] Time 0.711 (0.784) Data 0.002 (0.002) Loss 1.5734 (1.6225) Prec@1 58.125 (56.328) Prec@5 85.000 (84.750) Epoch: [80][5420/11272] Time 0.804 (0.784) Data 0.001 (0.002) Loss 1.7598 (1.6225) Prec@1 53.125 (56.329) Prec@5 85.000 (84.749) Epoch: [80][5430/11272] Time 0.822 (0.784) Data 0.002 (0.002) Loss 1.3385 (1.6224) Prec@1 60.000 (56.330) Prec@5 91.875 (84.750) Epoch: [80][5440/11272] Time 0.698 (0.784) Data 0.002 (0.002) Loss 1.4772 (1.6223) Prec@1 57.500 (56.334) Prec@5 88.750 (84.752) Epoch: [80][5450/11272] Time 0.717 (0.784) Data 0.002 (0.002) Loss 1.5241 (1.6225) Prec@1 60.000 (56.328) Prec@5 89.375 (84.752) Epoch: [80][5460/11272] Time 0.782 (0.784) Data 0.001 (0.002) Loss 1.7422 (1.6227) Prec@1 55.625 (56.324) Prec@5 83.750 (84.749) Epoch: [80][5470/11272] Time 0.827 (0.784) Data 0.002 (0.002) Loss 1.6512 (1.6227) Prec@1 53.125 (56.323) Prec@5 83.750 (84.749) Epoch: [80][5480/11272] Time 0.725 (0.784) Data 0.001 (0.002) Loss 1.6897 (1.6227) Prec@1 50.000 (56.323) Prec@5 85.625 (84.748) Epoch: [80][5490/11272] Time 0.725 (0.784) Data 0.002 (0.002) Loss 1.6040 (1.6227) Prec@1 57.500 (56.324) Prec@5 83.125 (84.749) Epoch: [80][5500/11272] Time 0.813 (0.784) Data 0.002 (0.002) Loss 1.8087 (1.6227) Prec@1 53.125 (56.322) Prec@5 81.250 (84.747) Epoch: [80][5510/11272] Time 0.795 (0.783) Data 0.001 (0.002) Loss 1.5106 (1.6228) Prec@1 58.750 (56.321) Prec@5 88.125 (84.745) Epoch: [80][5520/11272] Time 0.729 (0.783) Data 0.001 (0.002) Loss 1.7033 (1.6229) Prec@1 55.625 (56.317) Prec@5 84.375 (84.744) Epoch: [80][5530/11272] Time 0.854 (0.783) Data 0.001 (0.002) Loss 1.7627 (1.6230) Prec@1 53.750 (56.313) Prec@5 76.250 (84.741) Epoch: [80][5540/11272] Time 0.803 (0.783) Data 0.001 (0.002) Loss 1.7603 (1.6230) Prec@1 55.000 (56.313) Prec@5 81.875 (84.742) Epoch: [80][5550/11272] Time 0.722 (0.783) Data 0.001 (0.002) Loss 1.4317 (1.6231) Prec@1 63.125 (56.309) Prec@5 85.000 (84.740) Epoch: [80][5560/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 2.0017 (1.6232) Prec@1 50.625 (56.309) Prec@5 78.125 (84.736) Epoch: [80][5570/11272] Time 0.851 (0.783) Data 0.001 (0.002) Loss 1.7029 (1.6233) Prec@1 57.500 (56.308) Prec@5 83.125 (84.734) Epoch: [80][5580/11272] Time 0.826 (0.783) Data 0.001 (0.002) Loss 1.6360 (1.6233) Prec@1 57.500 (56.308) Prec@5 83.125 (84.736) Epoch: [80][5590/11272] Time 0.715 (0.783) Data 0.002 (0.002) Loss 1.5465 (1.6232) Prec@1 52.500 (56.309) Prec@5 89.375 (84.736) Epoch: [80][5600/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.7201 (1.6232) Prec@1 55.625 (56.309) Prec@5 78.750 (84.736) Epoch: [80][5610/11272] Time 0.801 (0.783) Data 0.001 (0.002) Loss 1.6164 (1.6232) Prec@1 56.875 (56.311) Prec@5 83.125 (84.737) Epoch: [80][5620/11272] Time 0.785 (0.783) Data 0.001 (0.002) Loss 1.8756 (1.6233) Prec@1 51.875 (56.306) Prec@5 79.375 (84.737) Epoch: [80][5630/11272] Time 0.725 (0.783) Data 0.001 (0.002) Loss 1.5411 (1.6234) Prec@1 56.875 (56.304) Prec@5 88.750 (84.736) Epoch: [80][5640/11272] Time 0.732 (0.783) Data 0.002 (0.002) Loss 1.5408 (1.6234) Prec@1 63.125 (56.303) Prec@5 84.375 (84.736) Epoch: [80][5650/11272] Time 0.834 (0.783) Data 0.002 (0.002) Loss 1.5269 (1.6234) Prec@1 58.125 (56.303) Prec@5 85.625 (84.737) Epoch: [80][5660/11272] Time 0.801 (0.783) Data 0.002 (0.002) Loss 1.5582 (1.6233) Prec@1 63.750 (56.304) Prec@5 84.375 (84.736) Epoch: [80][5670/11272] Time 0.770 (0.783) Data 0.001 (0.002) Loss 1.7132 (1.6233) Prec@1 57.500 (56.305) Prec@5 83.750 (84.737) Epoch: [80][5680/11272] Time 0.823 (0.783) Data 0.002 (0.002) Loss 1.7840 (1.6233) Prec@1 48.750 (56.307) Prec@5 84.375 (84.740) Epoch: [80][5690/11272] Time 0.853 (0.783) Data 0.001 (0.002) Loss 1.4209 (1.6232) Prec@1 58.125 (56.308) Prec@5 90.625 (84.740) Epoch: [80][5700/11272] Time 0.723 (0.783) Data 0.001 (0.002) Loss 1.7159 (1.6234) Prec@1 57.500 (56.304) Prec@5 80.625 (84.737) Epoch: [80][5710/11272] Time 0.736 (0.783) Data 0.002 (0.002) Loss 1.5966 (1.6234) Prec@1 56.250 (56.303) Prec@5 86.250 (84.737) Epoch: [80][5720/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.8602 (1.6234) Prec@1 56.250 (56.305) Prec@5 79.375 (84.737) Epoch: [80][5730/11272] Time 0.818 (0.783) Data 0.002 (0.002) Loss 1.3476 (1.6234) Prec@1 67.500 (56.306) Prec@5 89.375 (84.737) Epoch: [80][5740/11272] Time 0.707 (0.783) Data 0.002 (0.002) Loss 1.8517 (1.6234) Prec@1 53.750 (56.310) Prec@5 81.250 (84.738) Epoch: [80][5750/11272] Time 0.747 (0.783) Data 0.002 (0.002) Loss 1.6981 (1.6234) Prec@1 57.500 (56.310) Prec@5 84.375 (84.735) Epoch: [80][5760/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.6830 (1.6234) Prec@1 59.375 (56.310) Prec@5 83.125 (84.735) Epoch: [80][5770/11272] Time 0.821 (0.783) Data 0.002 (0.002) Loss 1.5297 (1.6234) Prec@1 63.125 (56.309) Prec@5 82.500 (84.736) Epoch: [80][5780/11272] Time 0.732 (0.783) Data 0.001 (0.002) Loss 1.6331 (1.6234) Prec@1 53.125 (56.309) Prec@5 81.250 (84.737) Epoch: [80][5790/11272] Time 0.786 (0.783) Data 0.002 (0.002) Loss 1.6489 (1.6234) Prec@1 53.125 (56.310) Prec@5 84.375 (84.737) Epoch: [80][5800/11272] Time 0.827 (0.783) Data 0.002 (0.002) Loss 1.6119 (1.6234) Prec@1 59.375 (56.309) Prec@5 85.625 (84.738) Epoch: [80][5810/11272] Time 0.714 (0.783) Data 0.001 (0.002) Loss 1.7612 (1.6235) Prec@1 53.750 (56.307) Prec@5 81.875 (84.736) Epoch: [80][5820/11272] Time 0.712 (0.783) Data 0.002 (0.002) Loss 1.5801 (1.6236) Prec@1 57.500 (56.304) Prec@5 81.875 (84.734) Epoch: [80][5830/11272] Time 0.837 (0.783) Data 0.001 (0.002) Loss 1.7569 (1.6236) Prec@1 51.875 (56.304) Prec@5 81.875 (84.733) Epoch: [80][5840/11272] Time 0.826 (0.783) Data 0.002 (0.002) Loss 1.8194 (1.6236) Prec@1 51.875 (56.304) Prec@5 81.250 (84.733) Epoch: [80][5850/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.6831 (1.6236) Prec@1 56.875 (56.302) Prec@5 84.375 (84.733) Epoch: [80][5860/11272] Time 0.690 (0.783) Data 0.002 (0.002) Loss 1.5130 (1.6236) Prec@1 58.750 (56.300) Prec@5 89.375 (84.734) Epoch: [80][5870/11272] Time 0.793 (0.783) Data 0.001 (0.002) Loss 1.7783 (1.6237) Prec@1 54.375 (56.297) Prec@5 84.375 (84.733) Epoch: [80][5880/11272] Time 0.858 (0.783) Data 0.002 (0.002) Loss 1.7584 (1.6238) Prec@1 55.000 (56.296) Prec@5 83.125 (84.731) Epoch: [80][5890/11272] Time 0.739 (0.783) Data 0.002 (0.002) Loss 1.4507 (1.6238) Prec@1 61.250 (56.295) Prec@5 87.500 (84.730) Epoch: [80][5900/11272] Time 0.754 (0.783) Data 0.002 (0.002) Loss 1.6577 (1.6238) Prec@1 56.250 (56.299) Prec@5 83.125 (84.731) Epoch: [80][5910/11272] Time 0.819 (0.783) Data 0.002 (0.002) Loss 1.7841 (1.6238) Prec@1 55.625 (56.298) Prec@5 82.500 (84.730) Epoch: [80][5920/11272] Time 0.788 (0.783) Data 0.001 (0.002) Loss 1.7246 (1.6237) Prec@1 56.250 (56.300) Prec@5 82.500 (84.730) Epoch: [80][5930/11272] Time 0.718 (0.783) Data 0.002 (0.002) Loss 1.5558 (1.6237) Prec@1 60.625 (56.303) Prec@5 85.625 (84.731) Epoch: [80][5940/11272] Time 0.820 (0.783) Data 0.001 (0.002) Loss 1.6092 (1.6238) Prec@1 50.000 (56.299) Prec@5 83.750 (84.730) Epoch: [80][5950/11272] Time 0.805 (0.783) Data 0.001 (0.002) Loss 1.4116 (1.6237) Prec@1 58.750 (56.299) Prec@5 90.000 (84.731) Epoch: [80][5960/11272] Time 0.711 (0.783) Data 0.001 (0.002) Loss 1.6012 (1.6237) Prec@1 51.875 (56.297) Prec@5 83.750 (84.731) Epoch: [80][5970/11272] Time 0.698 (0.783) Data 0.001 (0.002) Loss 1.7593 (1.6237) Prec@1 50.625 (56.296) Prec@5 84.375 (84.732) Epoch: [80][5980/11272] Time 0.817 (0.783) Data 0.001 (0.002) Loss 1.7821 (1.6237) Prec@1 55.625 (56.295) Prec@5 81.250 (84.731) Epoch: [80][5990/11272] Time 0.855 (0.783) Data 0.001 (0.002) Loss 1.3839 (1.6237) Prec@1 61.875 (56.292) Prec@5 87.500 (84.732) Epoch: [80][6000/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.6198 (1.6236) Prec@1 51.875 (56.292) Prec@5 86.250 (84.733) Epoch: [80][6010/11272] Time 0.709 (0.783) Data 0.002 (0.002) Loss 1.6670 (1.6237) Prec@1 56.250 (56.289) Prec@5 81.875 (84.730) Epoch: [80][6020/11272] Time 0.814 (0.783) Data 0.002 (0.002) Loss 1.4360 (1.6237) Prec@1 58.125 (56.290) Prec@5 87.500 (84.729) Epoch: [80][6030/11272] Time 0.811 (0.783) Data 0.001 (0.002) Loss 1.8015 (1.6238) Prec@1 54.375 (56.290) Prec@5 81.875 (84.730) Epoch: [80][6040/11272] Time 0.727 (0.783) Data 0.001 (0.002) Loss 1.6294 (1.6238) Prec@1 53.125 (56.290) Prec@5 86.875 (84.730) Epoch: [80][6050/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.6365 (1.6239) Prec@1 56.250 (56.288) Prec@5 86.875 (84.730) Epoch: [80][6060/11272] Time 0.833 (0.783) Data 0.002 (0.002) Loss 1.3465 (1.6239) Prec@1 64.375 (56.287) Prec@5 90.000 (84.731) Epoch: [80][6070/11272] Time 0.720 (0.783) Data 0.003 (0.002) Loss 1.7503 (1.6240) Prec@1 55.000 (56.285) Prec@5 82.500 (84.729) Epoch: [80][6080/11272] Time 0.709 (0.783) Data 0.001 (0.002) Loss 1.5755 (1.6239) Prec@1 56.875 (56.285) Prec@5 85.000 (84.730) Epoch: [80][6090/11272] Time 0.843 (0.783) Data 0.001 (0.002) Loss 1.7363 (1.6239) Prec@1 53.125 (56.286) Prec@5 80.000 (84.730) Epoch: [80][6100/11272] Time 0.840 (0.783) Data 0.001 (0.002) Loss 1.5375 (1.6239) Prec@1 56.250 (56.283) Prec@5 87.500 (84.731) Epoch: [80][6110/11272] Time 0.738 (0.783) Data 0.002 (0.002) Loss 1.3883 (1.6239) Prec@1 63.125 (56.283) Prec@5 88.750 (84.732) Epoch: [80][6120/11272] Time 0.721 (0.783) Data 0.002 (0.002) Loss 1.6591 (1.6239) Prec@1 56.875 (56.284) Prec@5 83.125 (84.732) Epoch: [80][6130/11272] Time 0.835 (0.783) Data 0.001 (0.002) Loss 1.7793 (1.6239) Prec@1 50.000 (56.282) Prec@5 84.375 (84.731) Epoch: [80][6140/11272] Time 0.821 (0.783) Data 0.002 (0.002) Loss 1.4255 (1.6239) Prec@1 58.750 (56.282) Prec@5 88.750 (84.732) Epoch: [80][6150/11272] Time 0.729 (0.783) Data 0.002 (0.002) Loss 1.8821 (1.6240) Prec@1 50.000 (56.279) Prec@5 83.125 (84.730) Epoch: [80][6160/11272] Time 0.728 (0.783) Data 0.002 (0.002) Loss 1.6285 (1.6240) Prec@1 51.250 (56.276) Prec@5 85.625 (84.731) Epoch: [80][6170/11272] Time 0.824 (0.783) Data 0.002 (0.002) Loss 1.7319 (1.6240) Prec@1 53.750 (56.277) Prec@5 82.500 (84.730) Epoch: [80][6180/11272] Time 0.813 (0.783) Data 0.001 (0.002) Loss 1.4803 (1.6240) Prec@1 60.000 (56.278) Prec@5 90.000 (84.730) Epoch: [80][6190/11272] Time 0.725 (0.783) Data 0.001 (0.002) Loss 1.7248 (1.6240) Prec@1 53.750 (56.275) Prec@5 83.750 (84.731) Epoch: [80][6200/11272] Time 0.823 (0.783) Data 0.001 (0.002) Loss 1.6057 (1.6239) Prec@1 57.500 (56.277) Prec@5 83.125 (84.731) Epoch: [80][6210/11272] Time 0.807 (0.783) Data 0.001 (0.002) Loss 1.4667 (1.6239) Prec@1 59.375 (56.276) Prec@5 89.375 (84.733) Epoch: [80][6220/11272] Time 0.719 (0.783) Data 0.001 (0.002) Loss 1.6741 (1.6240) Prec@1 53.750 (56.278) Prec@5 83.750 (84.731) Epoch: [80][6230/11272] Time 0.702 (0.783) Data 0.001 (0.002) Loss 1.8329 (1.6241) Prec@1 54.375 (56.276) Prec@5 80.625 (84.728) Epoch: [80][6240/11272] Time 0.799 (0.783) Data 0.001 (0.002) Loss 1.5539 (1.6241) Prec@1 59.375 (56.276) Prec@5 85.000 (84.728) Epoch: [80][6250/11272] Time 0.813 (0.783) Data 0.002 (0.002) Loss 1.7468 (1.6243) Prec@1 53.125 (56.270) Prec@5 86.250 (84.726) Epoch: [80][6260/11272] Time 0.737 (0.782) Data 0.001 (0.002) Loss 1.4849 (1.6243) Prec@1 60.000 (56.271) Prec@5 86.250 (84.725) Epoch: [80][6270/11272] Time 0.742 (0.782) Data 0.002 (0.002) Loss 1.5003 (1.6243) Prec@1 56.875 (56.270) Prec@5 88.125 (84.727) Epoch: [80][6280/11272] Time 0.853 (0.782) Data 0.002 (0.002) Loss 1.6814 (1.6243) Prec@1 55.000 (56.269) Prec@5 86.875 (84.727) Epoch: [80][6290/11272] Time 0.818 (0.782) Data 0.002 (0.002) Loss 1.8365 (1.6244) Prec@1 52.500 (56.266) Prec@5 80.625 (84.726) Epoch: [80][6300/11272] Time 0.732 (0.782) Data 0.002 (0.002) Loss 1.6145 (1.6245) Prec@1 56.250 (56.264) Prec@5 87.500 (84.726) Epoch: [80][6310/11272] Time 0.715 (0.782) Data 0.001 (0.002) Loss 1.9099 (1.6246) Prec@1 51.875 (56.261) Prec@5 78.125 (84.723) Epoch: [80][6320/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.5679 (1.6245) Prec@1 59.375 (56.263) Prec@5 85.000 (84.723) Epoch: [80][6330/11272] Time 0.730 (0.782) Data 0.003 (0.002) Loss 1.5697 (1.6246) Prec@1 58.125 (56.262) Prec@5 84.375 (84.723) Epoch: [80][6340/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.6117 (1.6247) Prec@1 61.250 (56.259) Prec@5 82.500 (84.720) Epoch: [80][6350/11272] Time 0.836 (0.782) Data 0.001 (0.002) Loss 1.5718 (1.6248) Prec@1 57.500 (56.256) Prec@5 86.250 (84.719) Epoch: [80][6360/11272] Time 0.821 (0.782) Data 0.002 (0.002) Loss 1.8340 (1.6249) Prec@1 49.375 (56.254) Prec@5 75.625 (84.717) Epoch: [80][6370/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.5698 (1.6248) Prec@1 55.000 (56.258) Prec@5 86.250 (84.716) Epoch: [80][6380/11272] Time 0.712 (0.782) Data 0.002 (0.002) Loss 1.5073 (1.6248) Prec@1 61.250 (56.259) Prec@5 84.375 (84.715) Epoch: [80][6390/11272] Time 0.809 (0.782) Data 0.001 (0.002) Loss 1.7239 (1.6248) Prec@1 52.500 (56.259) Prec@5 83.125 (84.717) Epoch: [80][6400/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.7884 (1.6248) Prec@1 50.000 (56.259) Prec@5 81.875 (84.716) Epoch: [80][6410/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.6437 (1.6247) Prec@1 50.625 (56.258) Prec@5 86.875 (84.717) Epoch: [80][6420/11272] Time 0.744 (0.782) Data 0.002 (0.002) Loss 1.7549 (1.6249) Prec@1 52.500 (56.254) Prec@5 81.250 (84.715) Epoch: [80][6430/11272] Time 0.813 (0.782) Data 0.001 (0.002) Loss 1.5971 (1.6249) Prec@1 59.375 (56.256) Prec@5 85.000 (84.716) Epoch: [80][6440/11272] Time 0.805 (0.782) Data 0.001 (0.002) Loss 1.5756 (1.6248) Prec@1 61.875 (56.258) Prec@5 85.625 (84.718) Epoch: [80][6450/11272] Time 0.700 (0.782) Data 0.001 (0.002) Loss 1.7438 (1.6248) Prec@1 57.500 (56.263) Prec@5 78.750 (84.718) Epoch: [80][6460/11272] Time 0.874 (0.782) Data 0.001 (0.002) Loss 1.5141 (1.6247) Prec@1 54.375 (56.264) Prec@5 86.875 (84.720) Epoch: [80][6470/11272] Time 0.796 (0.782) Data 0.001 (0.002) Loss 1.6836 (1.6248) Prec@1 58.125 (56.261) Prec@5 85.000 (84.719) Epoch: [80][6480/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.5058 (1.6248) Prec@1 59.375 (56.260) Prec@5 85.625 (84.719) Epoch: [80][6490/11272] Time 0.729 (0.782) Data 0.002 (0.002) Loss 1.5560 (1.6247) Prec@1 55.000 (56.261) Prec@5 86.250 (84.719) Epoch: [80][6500/11272] Time 0.825 (0.782) Data 0.001 (0.002) Loss 1.4986 (1.6248) Prec@1 60.000 (56.257) Prec@5 86.875 (84.720) Epoch: [80][6510/11272] Time 0.823 (0.782) Data 0.002 (0.002) Loss 1.6956 (1.6248) Prec@1 56.875 (56.257) Prec@5 83.125 (84.720) Epoch: [80][6520/11272] Time 0.723 (0.782) Data 0.003 (0.002) Loss 1.7106 (1.6249) Prec@1 56.875 (56.254) Prec@5 83.750 (84.717) Epoch: [80][6530/11272] Time 0.725 (0.782) Data 0.002 (0.002) Loss 1.6177 (1.6250) Prec@1 55.000 (56.254) Prec@5 82.500 (84.715) Epoch: [80][6540/11272] Time 0.825 (0.782) Data 0.001 (0.002) Loss 1.6386 (1.6249) Prec@1 55.000 (56.257) Prec@5 87.500 (84.717) Epoch: [80][6550/11272] Time 0.879 (0.782) Data 0.001 (0.002) Loss 1.6920 (1.6248) Prec@1 53.750 (56.257) Prec@5 85.625 (84.720) Epoch: [80][6560/11272] Time 0.721 (0.782) Data 0.002 (0.002) Loss 1.3710 (1.6249) Prec@1 63.125 (56.255) Prec@5 89.375 (84.720) Epoch: [80][6570/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.6569 (1.6249) Prec@1 55.625 (56.256) Prec@5 82.500 (84.718) Epoch: [80][6580/11272] Time 0.823 (0.782) Data 0.002 (0.002) Loss 1.7063 (1.6249) Prec@1 53.750 (56.255) Prec@5 81.250 (84.719) Epoch: [80][6590/11272] Time 0.807 (0.782) Data 0.002 (0.002) Loss 1.6229 (1.6250) Prec@1 59.375 (56.255) Prec@5 83.750 (84.717) Epoch: [80][6600/11272] Time 0.756 (0.782) Data 0.001 (0.002) Loss 1.5006 (1.6249) Prec@1 58.750 (56.255) Prec@5 88.125 (84.718) Epoch: [80][6610/11272] Time 0.857 (0.782) Data 0.001 (0.002) Loss 1.6216 (1.6249) Prec@1 57.500 (56.256) Prec@5 82.500 (84.718) Epoch: [80][6620/11272] Time 0.835 (0.782) Data 0.001 (0.002) Loss 1.4542 (1.6249) Prec@1 61.875 (56.256) Prec@5 86.875 (84.720) Epoch: [80][6630/11272] Time 0.699 (0.782) Data 0.001 (0.002) Loss 1.4535 (1.6248) Prec@1 58.125 (56.256) Prec@5 88.125 (84.721) Epoch: [80][6640/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.4736 (1.6250) Prec@1 56.250 (56.251) Prec@5 90.625 (84.719) Epoch: [80][6650/11272] Time 0.845 (0.782) Data 0.001 (0.002) Loss 1.7313 (1.6250) Prec@1 52.500 (56.253) Prec@5 85.000 (84.719) Epoch: [80][6660/11272] Time 0.824 (0.782) Data 0.002 (0.002) Loss 1.5578 (1.6250) Prec@1 60.625 (56.254) Prec@5 85.625 (84.719) Epoch: [80][6670/11272] Time 0.705 (0.782) Data 0.002 (0.002) Loss 1.6826 (1.6250) Prec@1 55.625 (56.255) Prec@5 83.125 (84.720) Epoch: [80][6680/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.6310 (1.6250) Prec@1 53.125 (56.256) Prec@5 83.750 (84.721) Epoch: [80][6690/11272] Time 0.821 (0.782) Data 0.001 (0.002) Loss 1.9466 (1.6250) Prec@1 50.000 (56.254) Prec@5 78.750 (84.718) Epoch: [80][6700/11272] Time 0.771 (0.782) Data 0.001 (0.002) Loss 1.8057 (1.6251) Prec@1 49.375 (56.252) Prec@5 88.750 (84.717) Epoch: [80][6710/11272] Time 0.720 (0.782) Data 0.002 (0.002) Loss 1.5716 (1.6251) Prec@1 63.750 (56.251) Prec@5 84.375 (84.716) Epoch: [80][6720/11272] Time 0.723 (0.782) Data 0.002 (0.002) Loss 1.6707 (1.6253) Prec@1 56.875 (56.250) Prec@5 86.875 (84.715) Epoch: [80][6730/11272] Time 0.800 (0.782) Data 0.001 (0.002) Loss 1.4735 (1.6253) Prec@1 56.875 (56.248) Prec@5 90.625 (84.713) Epoch: [80][6740/11272] Time 0.705 (0.782) Data 0.001 (0.002) Loss 1.7110 (1.6254) Prec@1 53.125 (56.245) Prec@5 82.500 (84.711) Epoch: [80][6750/11272] Time 0.740 (0.782) Data 0.001 (0.002) Loss 1.7225 (1.6254) Prec@1 50.625 (56.242) Prec@5 81.875 (84.711) Epoch: [80][6760/11272] Time 0.815 (0.782) Data 0.001 (0.002) Loss 1.4409 (1.6254) Prec@1 60.000 (56.241) Prec@5 87.500 (84.710) Epoch: [80][6770/11272] Time 0.818 (0.782) Data 0.001 (0.002) Loss 1.8654 (1.6255) Prec@1 51.875 (56.240) Prec@5 81.875 (84.710) Epoch: [80][6780/11272] Time 0.752 (0.782) Data 0.002 (0.002) Loss 1.6061 (1.6255) Prec@1 57.500 (56.241) Prec@5 84.375 (84.709) Epoch: [80][6790/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.5681 (1.6255) Prec@1 58.125 (56.243) Prec@5 85.000 (84.711) Epoch: [80][6800/11272] Time 0.820 (0.782) Data 0.002 (0.002) Loss 1.6891 (1.6255) Prec@1 55.000 (56.243) Prec@5 81.875 (84.712) Epoch: [80][6810/11272] Time 0.849 (0.782) Data 0.002 (0.002) Loss 1.5138 (1.6254) Prec@1 63.125 (56.246) Prec@5 87.500 (84.713) Epoch: [80][6820/11272] Time 0.757 (0.782) Data 0.001 (0.002) Loss 1.5618 (1.6254) Prec@1 58.750 (56.246) Prec@5 84.375 (84.713) Epoch: [80][6830/11272] Time 0.707 (0.782) Data 0.001 (0.002) Loss 1.7196 (1.6253) Prec@1 50.000 (56.248) Prec@5 86.875 (84.714) Epoch: [80][6840/11272] Time 0.853 (0.782) Data 0.001 (0.002) Loss 1.5481 (1.6253) Prec@1 52.500 (56.249) Prec@5 85.625 (84.714) Epoch: [80][6850/11272] Time 0.813 (0.782) Data 0.002 (0.002) Loss 1.5943 (1.6253) Prec@1 56.875 (56.248) Prec@5 87.500 (84.715) Epoch: [80][6860/11272] Time 0.753 (0.782) Data 0.002 (0.002) Loss 1.8042 (1.6254) Prec@1 57.500 (56.248) Prec@5 76.875 (84.713) Epoch: [80][6870/11272] Time 0.809 (0.782) Data 0.002 (0.002) Loss 1.6288 (1.6253) Prec@1 55.625 (56.248) Prec@5 85.625 (84.714) Epoch: [80][6880/11272] Time 0.800 (0.782) Data 0.001 (0.002) Loss 1.4983 (1.6253) Prec@1 60.625 (56.246) Prec@5 85.000 (84.713) Epoch: [80][6890/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.4063 (1.6254) Prec@1 63.750 (56.248) Prec@5 88.125 (84.713) Epoch: [80][6900/11272] Time 0.730 (0.782) Data 0.002 (0.002) Loss 1.3726 (1.6255) Prec@1 61.250 (56.244) Prec@5 91.250 (84.712) Epoch: [80][6910/11272] Time 0.802 (0.782) Data 0.002 (0.002) Loss 1.6143 (1.6255) Prec@1 58.125 (56.246) Prec@5 86.250 (84.711) Epoch: [80][6920/11272] Time 0.856 (0.782) Data 0.002 (0.002) Loss 1.6087 (1.6255) Prec@1 59.375 (56.244) Prec@5 83.750 (84.711) Epoch: [80][6930/11272] Time 0.730 (0.782) Data 0.001 (0.002) Loss 1.7101 (1.6254) Prec@1 51.250 (56.246) Prec@5 83.750 (84.713) Epoch: [80][6940/11272] Time 0.708 (0.782) Data 0.001 (0.002) Loss 1.8765 (1.6255) Prec@1 48.125 (56.245) Prec@5 82.500 (84.712) Epoch: [80][6950/11272] Time 0.813 (0.782) Data 0.001 (0.002) Loss 1.6478 (1.6255) Prec@1 57.500 (56.246) Prec@5 83.750 (84.712) Epoch: [80][6960/11272] Time 0.836 (0.782) Data 0.001 (0.002) Loss 1.5278 (1.6255) Prec@1 59.375 (56.246) Prec@5 86.875 (84.712) Epoch: [80][6970/11272] Time 0.746 (0.782) Data 0.001 (0.002) Loss 1.8509 (1.6255) Prec@1 47.500 (56.244) Prec@5 77.500 (84.709) Epoch: [80][6980/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.6901 (1.6254) Prec@1 53.125 (56.245) Prec@5 83.125 (84.711) Epoch: [80][6990/11272] Time 0.848 (0.782) Data 0.002 (0.002) Loss 1.8039 (1.6255) Prec@1 56.250 (56.245) Prec@5 81.250 (84.709) Epoch: [80][7000/11272] Time 0.711 (0.782) Data 0.003 (0.002) Loss 1.5573 (1.6256) Prec@1 60.000 (56.244) Prec@5 86.250 (84.708) Epoch: [80][7010/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.6000 (1.6257) Prec@1 55.000 (56.243) Prec@5 86.875 (84.707) Epoch: [80][7020/11272] Time 0.828 (0.782) Data 0.002 (0.002) Loss 1.6512 (1.6257) Prec@1 56.875 (56.244) Prec@5 85.625 (84.706) Epoch: [80][7030/11272] Time 0.833 (0.782) Data 0.002 (0.002) Loss 1.5422 (1.6257) Prec@1 57.500 (56.244) Prec@5 86.875 (84.707) Epoch: [80][7040/11272] Time 0.712 (0.782) Data 0.002 (0.002) Loss 1.6814 (1.6257) Prec@1 55.000 (56.241) Prec@5 84.375 (84.707) Epoch: [80][7050/11272] Time 0.713 (0.782) Data 0.001 (0.002) Loss 1.5050 (1.6258) Prec@1 60.625 (56.239) Prec@5 87.500 (84.705) Epoch: [80][7060/11272] Time 0.830 (0.782) Data 0.001 (0.002) Loss 1.4873 (1.6258) Prec@1 64.375 (56.238) Prec@5 87.500 (84.706) Epoch: [80][7070/11272] Time 0.814 (0.782) Data 0.002 (0.002) Loss 1.6008 (1.6257) Prec@1 58.750 (56.240) Prec@5 86.250 (84.708) Epoch: [80][7080/11272] Time 0.719 (0.782) Data 0.001 (0.002) Loss 1.6088 (1.6258) Prec@1 56.875 (56.238) Prec@5 85.000 (84.708) Epoch: [80][7090/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.6061 (1.6258) Prec@1 54.375 (56.238) Prec@5 86.250 (84.708) Epoch: [80][7100/11272] Time 0.829 (0.782) Data 0.002 (0.002) Loss 1.5413 (1.6257) Prec@1 56.875 (56.239) Prec@5 85.625 (84.710) Epoch: [80][7110/11272] Time 0.823 (0.782) Data 0.002 (0.002) Loss 1.8596 (1.6257) Prec@1 51.250 (56.240) Prec@5 80.000 (84.710) Epoch: [80][7120/11272] Time 0.739 (0.782) Data 0.002 (0.002) Loss 1.7222 (1.6259) Prec@1 48.750 (56.236) Prec@5 83.125 (84.709) Epoch: [80][7130/11272] Time 0.837 (0.782) Data 0.002 (0.002) Loss 1.7219 (1.6259) Prec@1 55.625 (56.237) Prec@5 83.125 (84.708) Epoch: [80][7140/11272] Time 0.809 (0.782) Data 0.001 (0.002) Loss 1.7920 (1.6260) Prec@1 56.875 (56.236) Prec@5 80.625 (84.707) Epoch: [80][7150/11272] Time 0.731 (0.782) Data 0.001 (0.002) Loss 1.6875 (1.6261) Prec@1 50.625 (56.235) Prec@5 83.750 (84.708) Epoch: [80][7160/11272] Time 0.705 (0.782) Data 0.002 (0.002) Loss 1.6758 (1.6262) Prec@1 55.625 (56.233) Prec@5 86.250 (84.706) Epoch: [80][7170/11272] Time 0.838 (0.782) Data 0.001 (0.002) Loss 1.6935 (1.6262) Prec@1 53.125 (56.229) Prec@5 85.625 (84.705) Epoch: [80][7180/11272] Time 0.822 (0.782) Data 0.002 (0.002) Loss 1.8193 (1.6263) Prec@1 52.500 (56.229) Prec@5 81.875 (84.704) Epoch: [80][7190/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.5501 (1.6264) Prec@1 59.375 (56.228) Prec@5 88.125 (84.702) Epoch: [80][7200/11272] Time 0.720 (0.782) Data 0.002 (0.002) Loss 1.6108 (1.6264) Prec@1 58.125 (56.229) Prec@5 87.500 (84.702) Epoch: [80][7210/11272] Time 0.842 (0.782) Data 0.001 (0.002) Loss 1.6335 (1.6264) Prec@1 58.750 (56.229) Prec@5 86.875 (84.702) Epoch: [80][7220/11272] Time 0.806 (0.782) Data 0.001 (0.002) Loss 1.4932 (1.6264) Prec@1 60.000 (56.231) Prec@5 83.750 (84.701) Epoch: [80][7230/11272] Time 0.731 (0.782) Data 0.002 (0.002) Loss 1.6670 (1.6264) Prec@1 55.000 (56.232) Prec@5 81.250 (84.699) Epoch: [80][7240/11272] Time 0.720 (0.782) Data 0.001 (0.002) Loss 1.6752 (1.6264) Prec@1 57.500 (56.231) Prec@5 83.125 (84.701) Epoch: [80][7250/11272] Time 0.871 (0.782) Data 0.002 (0.002) Loss 1.7221 (1.6265) Prec@1 55.625 (56.230) Prec@5 83.750 (84.700) Epoch: [80][7260/11272] Time 0.711 (0.782) Data 0.003 (0.002) Loss 1.4439 (1.6265) Prec@1 63.125 (56.230) Prec@5 88.125 (84.699) Epoch: [80][7270/11272] Time 0.706 (0.782) Data 0.001 (0.002) Loss 1.6739 (1.6265) Prec@1 50.000 (56.230) Prec@5 83.125 (84.698) Epoch: [80][7280/11272] Time 0.858 (0.782) Data 0.002 (0.002) Loss 1.5945 (1.6265) Prec@1 57.500 (56.230) Prec@5 84.375 (84.699) Epoch: [80][7290/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.5041 (1.6265) Prec@1 60.000 (56.229) Prec@5 86.250 (84.698) Epoch: [80][7300/11272] Time 0.725 (0.782) Data 0.002 (0.002) Loss 1.7596 (1.6266) Prec@1 53.125 (56.229) Prec@5 83.750 (84.699) Epoch: [80][7310/11272] Time 0.714 (0.782) Data 0.001 (0.002) Loss 1.7601 (1.6266) Prec@1 50.625 (56.228) Prec@5 85.000 (84.700) Epoch: [80][7320/11272] Time 0.805 (0.782) Data 0.002 (0.002) Loss 1.5382 (1.6266) Prec@1 55.625 (56.229) Prec@5 88.750 (84.700) Epoch: [80][7330/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.5594 (1.6265) Prec@1 58.750 (56.230) Prec@5 88.125 (84.701) Epoch: [80][7340/11272] Time 0.702 (0.782) Data 0.001 (0.002) Loss 1.5874 (1.6266) Prec@1 57.500 (56.228) Prec@5 85.625 (84.700) Epoch: [80][7350/11272] Time 0.702 (0.782) Data 0.001 (0.002) Loss 1.4033 (1.6266) Prec@1 59.375 (56.226) Prec@5 88.750 (84.698) Epoch: [80][7360/11272] Time 0.827 (0.782) Data 0.002 (0.002) Loss 1.5881 (1.6267) Prec@1 56.250 (56.226) Prec@5 83.750 (84.697) Epoch: [80][7370/11272] Time 0.809 (0.782) Data 0.002 (0.002) Loss 1.7017 (1.6267) Prec@1 48.750 (56.226) Prec@5 85.625 (84.697) Epoch: [80][7380/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.4325 (1.6266) Prec@1 64.375 (56.227) Prec@5 86.250 (84.697) Epoch: [80][7390/11272] Time 0.811 (0.782) Data 0.001 (0.002) Loss 1.7423 (1.6266) Prec@1 56.875 (56.227) Prec@5 83.125 (84.697) Epoch: [80][7400/11272] Time 0.819 (0.782) Data 0.002 (0.002) Loss 1.7845 (1.6266) Prec@1 55.000 (56.226) Prec@5 84.375 (84.698) Epoch: [80][7410/11272] Time 0.718 (0.782) Data 0.001 (0.002) Loss 1.6118 (1.6266) Prec@1 56.250 (56.227) Prec@5 84.375 (84.696) Epoch: [80][7420/11272] Time 0.749 (0.782) Data 0.002 (0.002) Loss 1.6921 (1.6266) Prec@1 53.750 (56.228) Prec@5 86.875 (84.695) Epoch: [80][7430/11272] Time 0.867 (0.782) Data 0.002 (0.002) Loss 1.8420 (1.6267) Prec@1 51.250 (56.228) Prec@5 80.625 (84.693) Epoch: [80][7440/11272] Time 0.831 (0.782) Data 0.001 (0.002) Loss 1.3498 (1.6266) Prec@1 60.000 (56.229) Prec@5 89.375 (84.695) Epoch: [80][7450/11272] Time 0.724 (0.782) Data 0.001 (0.002) Loss 1.7646 (1.6267) Prec@1 49.375 (56.226) Prec@5 83.125 (84.694) Epoch: [80][7460/11272] Time 0.713 (0.781) Data 0.002 (0.002) Loss 1.5828 (1.6266) Prec@1 60.000 (56.228) Prec@5 86.875 (84.696) Epoch: [80][7470/11272] Time 0.820 (0.781) Data 0.001 (0.002) Loss 1.2398 (1.6265) Prec@1 66.250 (56.232) Prec@5 90.000 (84.698) Epoch: [80][7480/11272] Time 0.817 (0.781) Data 0.002 (0.002) Loss 1.4846 (1.6265) Prec@1 60.000 (56.231) Prec@5 87.500 (84.698) Epoch: [80][7490/11272] Time 0.718 (0.781) Data 0.001 (0.002) Loss 1.8045 (1.6266) Prec@1 52.500 (56.227) Prec@5 83.750 (84.696) Epoch: [80][7500/11272] Time 0.683 (0.781) Data 0.001 (0.002) Loss 1.7757 (1.6267) Prec@1 51.250 (56.225) Prec@5 80.000 (84.694) Epoch: [80][7510/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.6313 (1.6267) Prec@1 59.375 (56.225) Prec@5 86.250 (84.694) Epoch: [80][7520/11272] Time 0.838 (0.781) Data 0.001 (0.002) Loss 1.4291 (1.6267) Prec@1 59.375 (56.227) Prec@5 88.125 (84.694) Epoch: [80][7530/11272] Time 0.728 (0.781) Data 0.002 (0.002) Loss 1.6098 (1.6267) Prec@1 58.125 (56.226) Prec@5 85.000 (84.693) Epoch: [80][7540/11272] Time 0.819 (0.781) Data 0.001 (0.002) Loss 1.6685 (1.6268) Prec@1 52.500 (56.225) Prec@5 81.875 (84.692) Epoch: [80][7550/11272] Time 0.867 (0.781) Data 0.001 (0.002) Loss 1.7782 (1.6269) Prec@1 60.625 (56.226) Prec@5 86.250 (84.690) Epoch: [80][7560/11272] Time 0.700 (0.781) Data 0.002 (0.002) Loss 1.7607 (1.6269) Prec@1 54.375 (56.223) Prec@5 83.125 (84.690) Epoch: [80][7570/11272] Time 0.702 (0.781) Data 0.001 (0.002) Loss 1.6784 (1.6271) Prec@1 53.125 (56.220) Prec@5 87.500 (84.688) Epoch: [80][7580/11272] Time 0.852 (0.781) Data 0.001 (0.002) Loss 1.7636 (1.6271) Prec@1 49.375 (56.222) Prec@5 81.875 (84.688) Epoch: [80][7590/11272] Time 0.809 (0.781) Data 0.001 (0.002) Loss 1.6666 (1.6271) Prec@1 56.250 (56.222) Prec@5 81.875 (84.687) Epoch: [80][7600/11272] Time 0.754 (0.781) Data 0.002 (0.002) Loss 1.5745 (1.6270) Prec@1 55.000 (56.222) Prec@5 83.750 (84.687) Epoch: [80][7610/11272] Time 0.781 (0.781) Data 0.002 (0.002) Loss 1.6860 (1.6271) Prec@1 55.000 (56.220) Prec@5 85.000 (84.686) Epoch: [80][7620/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.7605 (1.6271) Prec@1 50.000 (56.221) Prec@5 79.375 (84.686) Epoch: [80][7630/11272] Time 0.850 (0.781) Data 0.001 (0.002) Loss 1.7553 (1.6271) Prec@1 53.750 (56.219) Prec@5 80.625 (84.686) Epoch: [80][7640/11272] Time 0.735 (0.781) Data 0.001 (0.002) Loss 1.6007 (1.6271) Prec@1 61.250 (56.222) Prec@5 83.750 (84.685) Epoch: [80][7650/11272] Time 0.745 (0.781) Data 0.002 (0.002) Loss 1.8568 (1.6272) Prec@1 48.125 (56.216) Prec@5 81.250 (84.683) Epoch: [80][7660/11272] Time 0.834 (0.781) Data 0.001 (0.002) Loss 1.7273 (1.6272) Prec@1 55.625 (56.215) Prec@5 85.625 (84.683) Epoch: [80][7670/11272] Time 0.705 (0.781) Data 0.001 (0.002) Loss 1.7378 (1.6272) Prec@1 54.375 (56.216) Prec@5 84.375 (84.684) Epoch: [80][7680/11272] Time 0.746 (0.781) Data 0.002 (0.002) Loss 1.6375 (1.6272) Prec@1 58.750 (56.218) Prec@5 83.125 (84.685) Epoch: [80][7690/11272] Time 0.829 (0.781) Data 0.001 (0.002) Loss 1.7725 (1.6271) Prec@1 49.375 (56.219) Prec@5 80.000 (84.686) Epoch: [80][7700/11272] Time 0.796 (0.781) Data 0.002 (0.002) Loss 1.6315 (1.6271) Prec@1 51.250 (56.218) Prec@5 87.500 (84.686) Epoch: [80][7710/11272] Time 0.753 (0.781) Data 0.006 (0.002) Loss 1.4924 (1.6272) Prec@1 54.375 (56.217) Prec@5 86.875 (84.686) Epoch: [80][7720/11272] Time 0.720 (0.781) Data 0.002 (0.002) Loss 1.7377 (1.6272) Prec@1 57.500 (56.218) Prec@5 81.250 (84.684) Epoch: [80][7730/11272] Time 0.817 (0.781) Data 0.001 (0.002) Loss 1.6710 (1.6273) Prec@1 58.125 (56.215) Prec@5 82.500 (84.681) Epoch: [80][7740/11272] Time 0.808 (0.781) Data 0.002 (0.002) Loss 1.8751 (1.6272) Prec@1 50.625 (56.217) Prec@5 80.000 (84.681) Epoch: [80][7750/11272] Time 0.730 (0.781) Data 0.002 (0.002) Loss 1.5435 (1.6272) Prec@1 55.625 (56.218) Prec@5 88.125 (84.683) Epoch: [80][7760/11272] Time 0.707 (0.781) Data 0.001 (0.002) Loss 1.5404 (1.6271) Prec@1 58.125 (56.218) Prec@5 85.625 (84.683) Epoch: [80][7770/11272] Time 0.807 (0.781) Data 0.001 (0.002) Loss 1.8285 (1.6271) Prec@1 51.875 (56.220) Prec@5 81.875 (84.682) Epoch: [80][7780/11272] Time 0.844 (0.781) Data 0.002 (0.002) Loss 1.5489 (1.6272) Prec@1 62.500 (56.217) Prec@5 85.000 (84.682) Epoch: [80][7790/11272] Time 0.767 (0.781) Data 0.002 (0.002) Loss 1.3960 (1.6271) Prec@1 58.125 (56.220) Prec@5 87.500 (84.684) Epoch: [80][7800/11272] Time 0.856 (0.781) Data 0.001 (0.002) Loss 1.7061 (1.6271) Prec@1 46.875 (56.217) Prec@5 83.750 (84.683) Epoch: [80][7810/11272] Time 0.815 (0.781) Data 0.001 (0.002) Loss 1.4614 (1.6272) Prec@1 58.750 (56.215) Prec@5 87.500 (84.682) Epoch: [80][7820/11272] Time 0.734 (0.781) Data 0.002 (0.002) Loss 1.6696 (1.6273) Prec@1 56.250 (56.212) Prec@5 87.500 (84.680) Epoch: [80][7830/11272] Time 0.716 (0.781) Data 0.001 (0.002) Loss 1.5354 (1.6274) Prec@1 60.000 (56.209) Prec@5 88.125 (84.678) Epoch: [80][7840/11272] Time 0.844 (0.781) Data 0.001 (0.002) Loss 1.7343 (1.6275) Prec@1 52.500 (56.209) Prec@5 85.000 (84.677) Epoch: [80][7850/11272] Time 0.829 (0.781) Data 0.001 (0.002) Loss 1.6926 (1.6274) Prec@1 55.625 (56.211) Prec@5 85.625 (84.680) Epoch: [80][7860/11272] Time 0.722 (0.781) Data 0.002 (0.002) Loss 1.5004 (1.6274) Prec@1 60.000 (56.210) Prec@5 86.875 (84.680) Epoch: [80][7870/11272] Time 0.729 (0.781) Data 0.001 (0.002) Loss 1.7960 (1.6275) Prec@1 53.750 (56.210) Prec@5 80.000 (84.679) Epoch: [80][7880/11272] Time 0.848 (0.781) Data 0.002 (0.002) Loss 1.4842 (1.6275) Prec@1 57.500 (56.211) Prec@5 86.875 (84.678) Epoch: [80][7890/11272] Time 0.796 (0.781) Data 0.001 (0.002) Loss 1.5424 (1.6275) Prec@1 58.125 (56.211) Prec@5 85.625 (84.677) Epoch: [80][7900/11272] Time 0.686 (0.781) Data 0.002 (0.002) Loss 1.5532 (1.6274) Prec@1 58.125 (56.216) Prec@5 83.750 (84.677) Epoch: [80][7910/11272] Time 0.710 (0.781) Data 0.002 (0.002) Loss 1.6086 (1.6275) Prec@1 56.875 (56.214) Prec@5 86.250 (84.675) Epoch: [80][7920/11272] Time 0.821 (0.781) Data 0.001 (0.002) Loss 1.8054 (1.6276) Prec@1 52.500 (56.213) Prec@5 80.000 (84.673) Epoch: [80][7930/11272] Time 0.708 (0.781) Data 0.003 (0.002) Loss 2.0110 (1.6276) Prec@1 47.500 (56.214) Prec@5 78.750 (84.672) Epoch: [80][7940/11272] Time 0.741 (0.781) Data 0.002 (0.002) Loss 1.5535 (1.6277) Prec@1 61.250 (56.213) Prec@5 85.000 (84.670) Epoch: [80][7950/11272] Time 0.837 (0.781) Data 0.001 (0.002) Loss 1.7697 (1.6277) Prec@1 52.500 (56.212) Prec@5 84.375 (84.670) Epoch: [80][7960/11272] Time 0.827 (0.781) Data 0.001 (0.002) Loss 1.4037 (1.6277) Prec@1 60.625 (56.213) Prec@5 86.875 (84.670) Epoch: [80][7970/11272] Time 0.717 (0.781) Data 0.002 (0.002) Loss 1.5612 (1.6277) Prec@1 56.250 (56.211) Prec@5 85.000 (84.670) Epoch: [80][7980/11272] Time 0.716 (0.781) Data 0.002 (0.002) Loss 1.7053 (1.6276) Prec@1 55.625 (56.212) Prec@5 81.875 (84.671) Epoch: [80][7990/11272] Time 0.813 (0.781) Data 0.002 (0.002) Loss 1.6358 (1.6276) Prec@1 50.625 (56.212) Prec@5 84.375 (84.671) Epoch: [80][8000/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.6774 (1.6277) Prec@1 59.375 (56.210) Prec@5 85.000 (84.671) Epoch: [80][8010/11272] Time 0.742 (0.781) Data 0.001 (0.002) Loss 1.6250 (1.6277) Prec@1 57.500 (56.211) Prec@5 87.500 (84.671) Epoch: [80][8020/11272] Time 0.732 (0.781) Data 0.002 (0.002) Loss 1.8359 (1.6278) Prec@1 50.000 (56.206) Prec@5 81.875 (84.670) Epoch: [80][8030/11272] Time 0.825 (0.781) Data 0.001 (0.002) Loss 1.8479 (1.6279) Prec@1 48.125 (56.202) Prec@5 83.750 (84.669) Epoch: [80][8040/11272] Time 0.807 (0.781) Data 0.001 (0.002) Loss 1.6788 (1.6279) Prec@1 55.000 (56.202) Prec@5 82.500 (84.668) Epoch: [80][8050/11272] Time 0.704 (0.781) Data 0.001 (0.002) Loss 1.6334 (1.6278) Prec@1 57.500 (56.203) Prec@5 81.875 (84.669) Epoch: [80][8060/11272] Time 0.834 (0.781) Data 0.001 (0.002) Loss 1.6023 (1.6279) Prec@1 60.625 (56.201) Prec@5 85.625 (84.667) Epoch: [80][8070/11272] Time 0.859 (0.781) Data 0.002 (0.002) Loss 1.5666 (1.6279) Prec@1 53.125 (56.201) Prec@5 86.875 (84.668) Epoch: [80][8080/11272] Time 0.741 (0.781) Data 0.001 (0.002) Loss 1.6716 (1.6279) Prec@1 53.750 (56.200) Prec@5 83.125 (84.668) Epoch: [80][8090/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.6751 (1.6279) Prec@1 49.375 (56.200) Prec@5 85.625 (84.667) Epoch: [80][8100/11272] Time 0.813 (0.781) Data 0.001 (0.002) Loss 1.4752 (1.6279) Prec@1 58.750 (56.200) Prec@5 91.250 (84.668) Epoch: [80][8110/11272] Time 0.845 (0.781) Data 0.002 (0.002) Loss 1.4033 (1.6278) Prec@1 60.000 (56.201) Prec@5 85.625 (84.669) Epoch: [80][8120/11272] Time 0.716 (0.781) Data 0.001 (0.002) Loss 1.6729 (1.6278) Prec@1 52.500 (56.201) Prec@5 85.625 (84.669) Epoch: [80][8130/11272] Time 0.729 (0.781) Data 0.001 (0.002) Loss 1.6997 (1.6278) Prec@1 53.125 (56.201) Prec@5 85.000 (84.668) Epoch: [80][8140/11272] Time 0.804 (0.781) Data 0.002 (0.002) Loss 1.5908 (1.6278) Prec@1 58.750 (56.201) Prec@5 84.375 (84.669) Epoch: [80][8150/11272] Time 0.805 (0.781) Data 0.002 (0.002) Loss 1.3708 (1.6277) Prec@1 57.500 (56.203) Prec@5 87.500 (84.669) Epoch: [80][8160/11272] Time 0.728 (0.781) Data 0.002 (0.002) Loss 1.5437 (1.6277) Prec@1 58.125 (56.203) Prec@5 85.625 (84.670) Epoch: [80][8170/11272] Time 0.713 (0.781) Data 0.002 (0.002) Loss 1.4693 (1.6278) Prec@1 58.750 (56.200) Prec@5 86.875 (84.670) Epoch: [80][8180/11272] Time 0.812 (0.781) Data 0.002 (0.002) Loss 1.6894 (1.6279) Prec@1 54.375 (56.200) Prec@5 80.000 (84.668) Epoch: [80][8190/11272] Time 0.712 (0.781) Data 0.003 (0.002) Loss 1.7476 (1.6279) Prec@1 53.750 (56.201) Prec@5 79.375 (84.667) Epoch: [80][8200/11272] Time 0.723 (0.781) Data 0.002 (0.002) Loss 1.7828 (1.6279) Prec@1 58.750 (56.200) Prec@5 78.750 (84.666) Epoch: [80][8210/11272] Time 0.819 (0.781) Data 0.001 (0.002) Loss 1.5450 (1.6279) Prec@1 53.125 (56.200) Prec@5 88.750 (84.665) Epoch: [80][8220/11272] Time 0.843 (0.781) Data 0.001 (0.002) Loss 1.6413 (1.6279) Prec@1 55.000 (56.198) Prec@5 85.625 (84.666) Epoch: [80][8230/11272] Time 0.737 (0.781) Data 0.002 (0.002) Loss 1.7988 (1.6279) Prec@1 53.750 (56.198) Prec@5 80.000 (84.667) Epoch: [80][8240/11272] Time 0.710 (0.781) Data 0.001 (0.002) Loss 1.6448 (1.6279) Prec@1 55.000 (56.198) Prec@5 81.875 (84.666) Epoch: [80][8250/11272] Time 0.829 (0.781) Data 0.002 (0.002) Loss 1.4306 (1.6279) Prec@1 59.375 (56.197) Prec@5 89.375 (84.667) Epoch: [80][8260/11272] Time 0.860 (0.781) Data 0.002 (0.002) Loss 1.6639 (1.6279) Prec@1 57.500 (56.196) Prec@5 83.125 (84.667) Epoch: [80][8270/11272] Time 0.706 (0.781) Data 0.002 (0.002) Loss 1.5827 (1.6279) Prec@1 59.375 (56.197) Prec@5 85.625 (84.665) Epoch: [80][8280/11272] Time 0.747 (0.781) Data 0.002 (0.002) Loss 1.5382 (1.6278) Prec@1 56.250 (56.198) Prec@5 86.250 (84.667) Epoch: [80][8290/11272] Time 0.830 (0.781) Data 0.002 (0.002) Loss 1.8950 (1.6279) Prec@1 51.875 (56.197) Prec@5 77.500 (84.665) Epoch: [80][8300/11272] Time 0.827 (0.781) Data 0.001 (0.002) Loss 1.4332 (1.6279) Prec@1 61.875 (56.197) Prec@5 90.625 (84.667) Epoch: [80][8310/11272] Time 0.707 (0.781) Data 0.002 (0.002) Loss 1.6175 (1.6279) Prec@1 58.750 (56.197) Prec@5 82.500 (84.668) Epoch: [80][8320/11272] Time 0.803 (0.781) Data 0.001 (0.002) Loss 1.6910 (1.6280) Prec@1 54.375 (56.196) Prec@5 83.750 (84.667) Epoch: [80][8330/11272] Time 0.818 (0.781) Data 0.002 (0.002) Loss 1.6556 (1.6280) Prec@1 58.125 (56.196) Prec@5 87.500 (84.667) Epoch: [80][8340/11272] Time 0.724 (0.781) Data 0.001 (0.002) Loss 1.5353 (1.6280) Prec@1 56.875 (56.195) Prec@5 84.375 (84.667) Epoch: [80][8350/11272] Time 0.717 (0.781) Data 0.002 (0.002) Loss 1.7706 (1.6279) Prec@1 57.500 (56.197) Prec@5 80.000 (84.668) Epoch: [80][8360/11272] Time 0.819 (0.781) Data 0.002 (0.002) Loss 1.5722 (1.6279) Prec@1 57.500 (56.196) Prec@5 86.250 (84.668) Epoch: [80][8370/11272] Time 0.824 (0.781) Data 0.001 (0.002) Loss 1.7000 (1.6279) Prec@1 52.500 (56.194) Prec@5 86.250 (84.668) Epoch: [80][8380/11272] Time 0.743 (0.781) Data 0.002 (0.002) Loss 1.6805 (1.6280) Prec@1 50.000 (56.193) Prec@5 85.625 (84.667) Epoch: [80][8390/11272] Time 0.727 (0.781) Data 0.002 (0.002) Loss 1.6078 (1.6280) Prec@1 58.750 (56.192) Prec@5 84.375 (84.666) Epoch: [80][8400/11272] Time 0.806 (0.781) Data 0.001 (0.002) Loss 1.7621 (1.6281) Prec@1 46.875 (56.189) Prec@5 82.500 (84.665) Epoch: [80][8410/11272] Time 0.856 (0.781) Data 0.002 (0.002) Loss 1.5101 (1.6282) Prec@1 55.625 (56.189) Prec@5 86.250 (84.663) Epoch: [80][8420/11272] Time 0.714 (0.781) Data 0.002 (0.002) Loss 1.4118 (1.6281) Prec@1 59.375 (56.188) Prec@5 88.125 (84.664) Epoch: [80][8430/11272] Time 0.707 (0.781) Data 0.001 (0.002) Loss 1.7052 (1.6281) Prec@1 55.000 (56.187) Prec@5 86.875 (84.664) Epoch: [80][8440/11272] Time 0.816 (0.781) Data 0.001 (0.002) Loss 1.5581 (1.6281) Prec@1 61.875 (56.187) Prec@5 83.125 (84.664) Epoch: [80][8450/11272] Time 0.808 (0.781) Data 0.001 (0.002) Loss 1.5204 (1.6281) Prec@1 56.875 (56.188) Prec@5 88.750 (84.665) Epoch: [80][8460/11272] Time 0.718 (0.781) Data 0.001 (0.002) Loss 1.5985 (1.6281) Prec@1 58.750 (56.189) Prec@5 86.250 (84.666) Epoch: [80][8470/11272] Time 0.833 (0.781) Data 0.001 (0.002) Loss 1.8298 (1.6281) Prec@1 51.875 (56.189) Prec@5 80.625 (84.665) Epoch: [80][8480/11272] Time 0.821 (0.781) Data 0.001 (0.002) Loss 1.6489 (1.6282) Prec@1 55.625 (56.187) Prec@5 85.000 (84.665) Epoch: [80][8490/11272] Time 0.729 (0.781) Data 0.002 (0.002) Loss 1.7756 (1.6282) Prec@1 50.000 (56.186) Prec@5 85.000 (84.664) Epoch: [80][8500/11272] Time 0.730 (0.781) Data 0.002 (0.002) Loss 1.6790 (1.6281) Prec@1 52.500 (56.188) Prec@5 84.375 (84.666) Epoch: [80][8510/11272] Time 0.830 (0.781) Data 0.002 (0.002) Loss 1.6828 (1.6281) Prec@1 51.875 (56.189) Prec@5 85.625 (84.667) Epoch: [80][8520/11272] Time 0.822 (0.781) Data 0.002 (0.002) Loss 1.4539 (1.6281) Prec@1 60.000 (56.189) Prec@5 87.500 (84.668) Epoch: [80][8530/11272] Time 0.711 (0.781) Data 0.001 (0.002) Loss 1.7638 (1.6281) Prec@1 51.875 (56.186) Prec@5 83.750 (84.668) Epoch: [80][8540/11272] Time 0.705 (0.781) Data 0.002 (0.002) Loss 1.6782 (1.6280) Prec@1 51.250 (56.186) Prec@5 85.000 (84.669) Epoch: [80][8550/11272] Time 0.815 (0.781) Data 0.001 (0.002) Loss 1.7495 (1.6281) Prec@1 47.500 (56.184) Prec@5 81.875 (84.667) Epoch: [80][8560/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.6251 (1.6281) Prec@1 53.750 (56.184) Prec@5 84.375 (84.667) Epoch: [80][8570/11272] Time 0.740 (0.781) Data 0.001 (0.002) Loss 1.7227 (1.6281) Prec@1 56.875 (56.185) Prec@5 85.000 (84.667) Epoch: [80][8580/11272] Time 0.745 (0.781) Data 0.001 (0.002) Loss 1.4505 (1.6280) Prec@1 64.375 (56.185) Prec@5 83.750 (84.668) Epoch: [80][8590/11272] Time 0.829 (0.781) Data 0.001 (0.002) Loss 1.4222 (1.6281) Prec@1 62.500 (56.185) Prec@5 88.125 (84.668) Epoch: [80][8600/11272] Time 0.790 (0.781) Data 0.001 (0.002) Loss 1.5519 (1.6281) Prec@1 58.750 (56.185) Prec@5 85.625 (84.667) Epoch: [80][8610/11272] Time 0.735 (0.781) Data 0.001 (0.002) Loss 1.7096 (1.6281) Prec@1 53.125 (56.183) Prec@5 83.125 (84.666) Epoch: [80][8620/11272] Time 0.846 (0.781) Data 0.002 (0.002) Loss 1.3050 (1.6281) Prec@1 62.500 (56.185) Prec@5 91.875 (84.668) Epoch: [80][8630/11272] Time 0.906 (0.781) Data 0.002 (0.002) Loss 1.6669 (1.6281) Prec@1 48.750 (56.181) Prec@5 84.375 (84.667) Epoch: [80][8640/11272] Time 0.737 (0.781) Data 0.002 (0.002) Loss 1.5533 (1.6281) Prec@1 56.250 (56.182) Prec@5 86.250 (84.668) Epoch: [80][8650/11272] Time 0.700 (0.781) Data 0.001 (0.002) Loss 1.8912 (1.6282) Prec@1 50.625 (56.180) Prec@5 81.250 (84.667) Epoch: [80][8660/11272] Time 0.816 (0.781) Data 0.002 (0.002) Loss 1.5111 (1.6282) Prec@1 60.000 (56.179) Prec@5 86.875 (84.667) Epoch: [80][8670/11272] Time 0.805 (0.781) Data 0.001 (0.002) Loss 1.7638 (1.6281) Prec@1 56.875 (56.181) Prec@5 81.875 (84.668) Epoch: [80][8680/11272] Time 0.705 (0.781) Data 0.002 (0.002) Loss 1.5489 (1.6281) Prec@1 56.250 (56.181) Prec@5 85.625 (84.668) Epoch: [80][8690/11272] Time 0.718 (0.781) Data 0.002 (0.002) Loss 1.4756 (1.6281) Prec@1 63.750 (56.182) Prec@5 86.875 (84.668) Epoch: [80][8700/11272] Time 0.797 (0.781) Data 0.002 (0.002) Loss 1.5893 (1.6281) Prec@1 56.250 (56.182) Prec@5 81.875 (84.668) Epoch: [80][8710/11272] Time 0.849 (0.781) Data 0.003 (0.002) Loss 1.5028 (1.6280) Prec@1 59.375 (56.182) Prec@5 85.000 (84.669) Epoch: [80][8720/11272] Time 0.736 (0.781) Data 0.001 (0.002) Loss 1.5119 (1.6281) Prec@1 59.375 (56.182) Prec@5 83.750 (84.668) Epoch: [80][8730/11272] Time 0.888 (0.781) Data 0.001 (0.002) Loss 1.5815 (1.6282) Prec@1 57.500 (56.181) Prec@5 83.750 (84.666) Epoch: [80][8740/11272] Time 0.837 (0.781) Data 0.002 (0.002) Loss 1.6266 (1.6281) Prec@1 55.625 (56.182) Prec@5 82.500 (84.667) Epoch: [80][8750/11272] Time 0.756 (0.781) Data 0.002 (0.002) Loss 1.4326 (1.6280) Prec@1 63.750 (56.185) Prec@5 87.500 (84.667) Epoch: [80][8760/11272] Time 0.724 (0.780) Data 0.002 (0.002) Loss 1.7214 (1.6280) Prec@1 55.625 (56.187) Prec@5 84.375 (84.668) Epoch: [80][8770/11272] Time 0.805 (0.780) Data 0.001 (0.002) Loss 1.6033 (1.6280) Prec@1 61.250 (56.189) Prec@5 85.625 (84.667) Epoch: [80][8780/11272] Time 0.817 (0.780) Data 0.002 (0.002) Loss 1.5022 (1.6280) Prec@1 58.125 (56.190) Prec@5 89.375 (84.668) Epoch: [80][8790/11272] Time 0.726 (0.780) Data 0.001 (0.002) Loss 1.4986 (1.6280) Prec@1 57.500 (56.186) Prec@5 86.875 (84.667) Epoch: [80][8800/11272] Time 0.720 (0.780) Data 0.002 (0.002) Loss 1.5594 (1.6281) Prec@1 57.500 (56.184) Prec@5 87.500 (84.666) Epoch: [80][8810/11272] Time 0.847 (0.780) Data 0.002 (0.002) Loss 1.5213 (1.6281) Prec@1 60.000 (56.182) Prec@5 83.750 (84.666) Epoch: [80][8820/11272] Time 0.811 (0.780) Data 0.001 (0.002) Loss 1.6515 (1.6281) Prec@1 55.000 (56.182) Prec@5 83.125 (84.667) Epoch: [80][8830/11272] Time 0.713 (0.780) Data 0.002 (0.002) Loss 1.6198 (1.6280) Prec@1 58.125 (56.181) Prec@5 85.625 (84.668) Epoch: [80][8840/11272] Time 0.711 (0.780) Data 0.001 (0.002) Loss 1.7148 (1.6280) Prec@1 51.875 (56.182) Prec@5 85.000 (84.669) Epoch: [80][8850/11272] Time 0.837 (0.780) Data 0.002 (0.002) Loss 1.5694 (1.6279) Prec@1 51.250 (56.184) Prec@5 83.750 (84.669) Epoch: [80][8860/11272] Time 0.725 (0.780) Data 0.003 (0.002) Loss 1.6044 (1.6278) Prec@1 51.875 (56.185) Prec@5 85.000 (84.670) Epoch: [80][8870/11272] Time 0.735 (0.780) Data 0.002 (0.002) Loss 1.7213 (1.6278) Prec@1 55.625 (56.186) Prec@5 77.500 (84.669) Epoch: [80][8880/11272] Time 0.835 (0.780) Data 0.001 (0.002) Loss 1.6318 (1.6279) Prec@1 57.500 (56.184) Prec@5 84.375 (84.667) Epoch: [80][8890/11272] Time 0.813 (0.780) Data 0.002 (0.002) Loss 1.5352 (1.6279) Prec@1 57.500 (56.183) Prec@5 85.000 (84.666) Epoch: [80][8900/11272] Time 0.744 (0.780) Data 0.002 (0.002) Loss 1.4799 (1.6278) Prec@1 56.875 (56.183) Prec@5 88.750 (84.668) Epoch: [80][8910/11272] Time 0.733 (0.780) Data 0.002 (0.002) Loss 1.5275 (1.6279) Prec@1 57.500 (56.182) Prec@5 83.750 (84.668) Epoch: [80][8920/11272] Time 0.816 (0.780) Data 0.001 (0.002) Loss 1.5464 (1.6279) Prec@1 59.375 (56.182) Prec@5 82.500 (84.666) Epoch: [80][8930/11272] Time 0.821 (0.780) Data 0.001 (0.002) Loss 1.5850 (1.6279) Prec@1 55.000 (56.181) Prec@5 83.750 (84.665) Epoch: [80][8940/11272] Time 0.699 (0.780) Data 0.001 (0.002) Loss 1.8731 (1.6280) Prec@1 46.875 (56.178) Prec@5 82.500 (84.665) Epoch: [80][8950/11272] Time 0.721 (0.780) Data 0.001 (0.002) Loss 1.7034 (1.6280) Prec@1 59.375 (56.177) Prec@5 80.625 (84.665) Epoch: [80][8960/11272] Time 0.856 (0.780) Data 0.002 (0.002) Loss 1.6272 (1.6280) Prec@1 56.250 (56.177) Prec@5 83.750 (84.666) Epoch: [80][8970/11272] Time 0.815 (0.780) Data 0.001 (0.002) Loss 1.5334 (1.6280) Prec@1 55.625 (56.176) Prec@5 84.375 (84.666) Epoch: [80][8980/11272] Time 0.729 (0.780) Data 0.001 (0.002) Loss 1.5116 (1.6281) Prec@1 53.750 (56.175) Prec@5 87.500 (84.665) Epoch: [80][8990/11272] Time 0.797 (0.780) Data 0.001 (0.002) Loss 1.7188 (1.6281) Prec@1 55.000 (56.174) Prec@5 83.750 (84.665) Epoch: [80][9000/11272] Time 0.832 (0.780) Data 0.001 (0.002) Loss 1.6453 (1.6282) Prec@1 55.000 (56.172) Prec@5 84.375 (84.664) Epoch: [80][9010/11272] Time 0.712 (0.780) Data 0.001 (0.002) Loss 1.5788 (1.6281) Prec@1 59.375 (56.173) Prec@5 88.750 (84.666) Epoch: [80][9020/11272] Time 0.739 (0.780) Data 0.002 (0.002) Loss 1.6090 (1.6282) Prec@1 60.000 (56.171) Prec@5 80.000 (84.664) Epoch: [80][9030/11272] Time 0.861 (0.780) Data 0.001 (0.002) Loss 1.7596 (1.6282) Prec@1 54.375 (56.172) Prec@5 80.000 (84.663) Epoch: [80][9040/11272] Time 0.805 (0.780) Data 0.001 (0.002) Loss 1.5726 (1.6282) Prec@1 54.375 (56.171) Prec@5 87.500 (84.662) Epoch: [80][9050/11272] Time 0.705 (0.780) Data 0.001 (0.002) Loss 1.7251 (1.6283) Prec@1 48.750 (56.169) Prec@5 83.750 (84.661) Epoch: [80][9060/11272] Time 0.719 (0.780) Data 0.002 (0.002) Loss 1.7325 (1.6284) Prec@1 51.250 (56.168) Prec@5 84.375 (84.660) Epoch: [80][9070/11272] Time 0.834 (0.780) Data 0.002 (0.002) Loss 1.6860 (1.6284) Prec@1 50.625 (56.168) Prec@5 85.625 (84.659) Epoch: [80][9080/11272] Time 0.814 (0.780) Data 0.002 (0.002) Loss 1.7158 (1.6284) Prec@1 54.375 (56.168) Prec@5 85.000 (84.659) Epoch: [80][9090/11272] Time 0.721 (0.780) Data 0.002 (0.002) Loss 1.4915 (1.6283) Prec@1 61.875 (56.170) Prec@5 85.000 (84.660) Epoch: [80][9100/11272] Time 0.724 (0.780) Data 0.002 (0.002) Loss 1.5968 (1.6282) Prec@1 53.125 (56.171) Prec@5 86.250 (84.662) Epoch: [80][9110/11272] Time 0.819 (0.780) Data 0.001 (0.002) Loss 1.5226 (1.6283) Prec@1 60.625 (56.171) Prec@5 87.500 (84.662) Epoch: [80][9120/11272] Time 0.755 (0.780) Data 0.003 (0.002) Loss 1.8299 (1.6283) Prec@1 53.125 (56.172) Prec@5 81.875 (84.661) Epoch: [80][9130/11272] Time 0.697 (0.780) Data 0.001 (0.002) Loss 1.5743 (1.6283) Prec@1 56.875 (56.173) Prec@5 87.500 (84.662) Epoch: [80][9140/11272] Time 0.811 (0.780) Data 0.001 (0.002) Loss 1.5393 (1.6282) Prec@1 62.500 (56.177) Prec@5 86.250 (84.663) Epoch: [80][9150/11272] Time 0.813 (0.780) Data 0.001 (0.002) Loss 1.6188 (1.6282) Prec@1 55.625 (56.177) Prec@5 84.375 (84.663) Epoch: [80][9160/11272] Time 0.720 (0.780) Data 0.001 (0.002) Loss 1.6255 (1.6282) Prec@1 56.250 (56.177) Prec@5 83.750 (84.662) Epoch: [80][9170/11272] Time 0.708 (0.780) Data 0.002 (0.002) Loss 1.9023 (1.6283) Prec@1 48.125 (56.176) Prec@5 81.875 (84.661) Epoch: [80][9180/11272] Time 0.830 (0.780) Data 0.002 (0.002) Loss 1.4673 (1.6283) Prec@1 59.375 (56.176) Prec@5 86.250 (84.661) Epoch: [80][9190/11272] Time 0.819 (0.780) Data 0.001 (0.002) Loss 1.8419 (1.6283) Prec@1 51.250 (56.175) Prec@5 83.125 (84.661) Epoch: [80][9200/11272] Time 0.709 (0.780) Data 0.001 (0.002) Loss 1.7999 (1.6283) Prec@1 56.875 (56.175) Prec@5 86.875 (84.661) Epoch: [80][9210/11272] Time 0.727 (0.780) Data 0.001 (0.002) Loss 1.5677 (1.6282) Prec@1 58.750 (56.176) Prec@5 82.500 (84.660) Epoch: [80][9220/11272] Time 0.804 (0.780) Data 0.001 (0.002) Loss 1.7399 (1.6283) Prec@1 51.875 (56.175) Prec@5 81.250 (84.660) Epoch: [80][9230/11272] Time 0.816 (0.780) Data 0.001 (0.002) Loss 1.4823 (1.6282) Prec@1 62.500 (56.176) Prec@5 86.875 (84.660) Epoch: [80][9240/11272] Time 0.714 (0.780) Data 0.001 (0.002) Loss 1.4015 (1.6283) Prec@1 58.750 (56.174) Prec@5 87.500 (84.659) Epoch: [80][9250/11272] Time 0.873 (0.780) Data 0.001 (0.002) Loss 1.4939 (1.6283) Prec@1 56.875 (56.173) Prec@5 85.625 (84.659) Epoch: [80][9260/11272] Time 0.806 (0.780) Data 0.001 (0.002) Loss 1.5622 (1.6283) Prec@1 53.750 (56.173) Prec@5 85.000 (84.659) Epoch: [80][9270/11272] Time 0.745 (0.780) Data 0.001 (0.002) Loss 1.8562 (1.6283) Prec@1 48.750 (56.172) Prec@5 83.125 (84.659) Epoch: [80][9280/11272] Time 0.745 (0.780) Data 0.002 (0.002) Loss 1.7733 (1.6283) Prec@1 55.000 (56.171) Prec@5 83.125 (84.659) Epoch: [80][9290/11272] Time 0.824 (0.780) Data 0.002 (0.002) Loss 1.6840 (1.6283) Prec@1 57.500 (56.171) Prec@5 82.500 (84.659) Epoch: [80][9300/11272] Time 0.810 (0.780) Data 0.001 (0.002) Loss 1.8922 (1.6284) Prec@1 47.500 (56.170) Prec@5 82.500 (84.659) Epoch: [80][9310/11272] Time 0.737 (0.780) Data 0.002 (0.002) Loss 1.6376 (1.6284) Prec@1 55.000 (56.169) Prec@5 86.875 (84.660) Epoch: [80][9320/11272] Time 0.735 (0.780) Data 0.002 (0.002) Loss 1.4949 (1.6284) Prec@1 56.250 (56.171) Prec@5 90.000 (84.659) Epoch: [80][9330/11272] Time 0.814 (0.780) Data 0.002 (0.002) Loss 1.6795 (1.6284) Prec@1 54.375 (56.169) Prec@5 81.250 (84.658) Epoch: [80][9340/11272] Time 0.812 (0.780) Data 0.002 (0.002) Loss 1.7118 (1.6284) Prec@1 55.000 (56.169) Prec@5 85.625 (84.659) Epoch: [80][9350/11272] Time 0.737 (0.780) Data 0.002 (0.002) Loss 1.6636 (1.6285) Prec@1 58.750 (56.169) Prec@5 85.000 (84.658) Epoch: [80][9360/11272] Time 0.754 (0.780) Data 0.001 (0.002) Loss 1.6732 (1.6285) Prec@1 54.375 (56.169) Prec@5 79.375 (84.658) Epoch: [80][9370/11272] Time 0.810 (0.780) Data 0.001 (0.002) Loss 1.6585 (1.6285) Prec@1 55.000 (56.169) Prec@5 83.750 (84.658) Epoch: [80][9380/11272] Time 0.830 (0.780) Data 0.002 (0.002) Loss 1.5501 (1.6285) Prec@1 55.000 (56.169) Prec@5 86.875 (84.658) Epoch: [80][9390/11272] Time 0.749 (0.780) Data 0.001 (0.002) Loss 1.9242 (1.6285) Prec@1 53.125 (56.168) Prec@5 81.250 (84.658) Epoch: [80][9400/11272] Time 0.827 (0.780) Data 0.001 (0.002) Loss 1.4881 (1.6286) Prec@1 54.375 (56.168) Prec@5 86.875 (84.657) Epoch: [80][9410/11272] Time 0.853 (0.780) Data 0.001 (0.002) Loss 1.4997 (1.6286) Prec@1 50.625 (56.168) Prec@5 87.500 (84.658) Epoch: [80][9420/11272] Time 0.708 (0.780) Data 0.002 (0.002) Loss 1.5637 (1.6286) Prec@1 58.125 (56.166) Prec@5 85.625 (84.659) Epoch: [80][9430/11272] Time 0.711 (0.780) Data 0.001 (0.002) Loss 1.5743 (1.6286) Prec@1 59.375 (56.165) Prec@5 85.625 (84.658) Epoch: [80][9440/11272] Time 0.825 (0.780) Data 0.002 (0.002) Loss 1.6496 (1.6286) Prec@1 57.500 (56.166) Prec@5 83.125 (84.659) Epoch: [80][9450/11272] Time 0.822 (0.780) Data 0.002 (0.002) Loss 1.7464 (1.6287) Prec@1 53.750 (56.165) Prec@5 83.750 (84.659) Epoch: [80][9460/11272] Time 0.714 (0.780) Data 0.002 (0.002) Loss 1.6194 (1.6287) Prec@1 56.875 (56.166) Prec@5 82.500 (84.659) Epoch: [80][9470/11272] Time 0.707 (0.780) Data 0.002 (0.002) Loss 1.6866 (1.6287) Prec@1 55.000 (56.166) Prec@5 81.875 (84.659) Epoch: [80][9480/11272] Time 0.819 (0.780) Data 0.001 (0.002) Loss 1.8864 (1.6288) Prec@1 52.500 (56.163) Prec@5 80.625 (84.658) Epoch: [80][9490/11272] Time 0.804 (0.780) Data 0.002 (0.002) Loss 1.8019 (1.6288) Prec@1 53.750 (56.162) Prec@5 82.500 (84.658) Epoch: [80][9500/11272] Time 0.722 (0.780) Data 0.001 (0.002) Loss 1.7317 (1.6288) Prec@1 52.500 (56.163) Prec@5 80.000 (84.659) Epoch: [80][9510/11272] Time 0.744 (0.780) Data 0.001 (0.002) Loss 1.5914 (1.6288) Prec@1 56.875 (56.161) Prec@5 87.500 (84.658) Epoch: [80][9520/11272] Time 0.831 (0.780) Data 0.001 (0.002) Loss 1.7413 (1.6288) Prec@1 56.250 (56.162) Prec@5 82.500 (84.658) Epoch: [80][9530/11272] Time 0.713 (0.780) Data 0.001 (0.002) Loss 1.5449 (1.6288) Prec@1 58.125 (56.164) Prec@5 87.500 (84.659) Epoch: [80][9540/11272] Time 0.717 (0.780) Data 0.002 (0.002) Loss 1.6524 (1.6288) Prec@1 60.000 (56.164) Prec@5 81.875 (84.659) Epoch: [80][9550/11272] Time 0.853 (0.780) Data 0.002 (0.002) Loss 1.5781 (1.6288) Prec@1 58.125 (56.165) Prec@5 86.250 (84.658) Epoch: [80][9560/11272] Time 0.816 (0.780) Data 0.002 (0.002) Loss 1.3780 (1.6288) Prec@1 65.625 (56.165) Prec@5 86.875 (84.658) Epoch: [80][9570/11272] Time 0.752 (0.780) Data 0.001 (0.002) Loss 1.5671 (1.6288) Prec@1 61.875 (56.164) Prec@5 85.625 (84.658) Epoch: [80][9580/11272] Time 0.715 (0.780) Data 0.001 (0.002) Loss 1.5339 (1.6288) Prec@1 61.250 (56.165) Prec@5 85.000 (84.658) Epoch: [80][9590/11272] Time 0.817 (0.780) Data 0.001 (0.002) Loss 1.5808 (1.6288) Prec@1 60.625 (56.163) Prec@5 86.875 (84.659) Epoch: [80][9600/11272] Time 0.823 (0.780) Data 0.001 (0.002) Loss 1.6721 (1.6288) Prec@1 54.375 (56.163) Prec@5 81.250 (84.660) Epoch: [80][9610/11272] Time 0.713 (0.780) Data 0.001 (0.002) Loss 1.7488 (1.6289) Prec@1 56.250 (56.160) Prec@5 77.500 (84.658) Epoch: [80][9620/11272] Time 0.734 (0.780) Data 0.002 (0.002) Loss 1.6064 (1.6289) Prec@1 58.125 (56.162) Prec@5 84.375 (84.657) Epoch: [80][9630/11272] Time 0.854 (0.780) Data 0.001 (0.002) Loss 1.4813 (1.6290) Prec@1 59.375 (56.160) Prec@5 85.625 (84.657) Epoch: [80][9640/11272] Time 0.814 (0.780) Data 0.001 (0.002) Loss 1.8177 (1.6291) Prec@1 51.875 (56.157) Prec@5 83.125 (84.657) Epoch: [80][9650/11272] Time 0.713 (0.780) Data 0.001 (0.002) Loss 1.6289 (1.6290) Prec@1 57.500 (56.158) Prec@5 81.875 (84.658) Epoch: [80][9660/11272] Time 0.832 (0.780) Data 0.002 (0.002) Loss 1.5417 (1.6289) Prec@1 58.750 (56.161) Prec@5 85.625 (84.658) Epoch: [80][9670/11272] Time 0.816 (0.780) Data 0.002 (0.002) Loss 1.6601 (1.6289) Prec@1 53.750 (56.162) Prec@5 84.375 (84.659) Epoch: [80][9680/11272] Time 0.708 (0.780) Data 0.002 (0.002) Loss 1.5204 (1.6289) Prec@1 63.750 (56.160) Prec@5 86.250 (84.659) Epoch: [80][9690/11272] Time 0.691 (0.780) Data 0.001 (0.002) Loss 1.6096 (1.6289) Prec@1 55.625 (56.162) Prec@5 86.250 (84.659) Epoch: [80][9700/11272] Time 0.858 (0.780) Data 0.002 (0.002) Loss 1.5371 (1.6290) Prec@1 54.375 (56.160) Prec@5 89.375 (84.658) Epoch: [80][9710/11272] Time 0.825 (0.780) Data 0.001 (0.002) Loss 1.6906 (1.6290) Prec@1 57.500 (56.159) Prec@5 84.375 (84.658) Epoch: [80][9720/11272] Time 0.721 (0.780) Data 0.002 (0.002) Loss 1.3968 (1.6289) Prec@1 59.375 (56.159) Prec@5 89.375 (84.658) Epoch: [80][9730/11272] Time 0.729 (0.780) Data 0.001 (0.002) Loss 1.6844 (1.6290) Prec@1 52.500 (56.158) Prec@5 82.500 (84.657) Epoch: [80][9740/11272] Time 0.866 (0.780) Data 0.002 (0.002) Loss 1.7639 (1.6290) Prec@1 56.250 (56.157) Prec@5 82.500 (84.656) Epoch: [80][9750/11272] Time 0.824 (0.780) Data 0.001 (0.002) Loss 1.6326 (1.6290) Prec@1 53.750 (56.157) Prec@5 84.375 (84.657) Epoch: [80][9760/11272] Time 0.721 (0.780) Data 0.001 (0.002) Loss 1.5206 (1.6290) Prec@1 57.500 (56.158) Prec@5 90.000 (84.658) Epoch: [80][9770/11272] Time 0.703 (0.780) Data 0.001 (0.002) Loss 1.5083 (1.6289) Prec@1 60.000 (56.160) Prec@5 83.125 (84.658) Epoch: [80][9780/11272] Time 0.805 (0.780) Data 0.001 (0.002) Loss 1.8814 (1.6290) Prec@1 47.500 (56.160) Prec@5 82.500 (84.657) Epoch: [80][9790/11272] Time 0.717 (0.780) Data 0.003 (0.002) Loss 1.5817 (1.6290) Prec@1 56.875 (56.159) Prec@5 82.500 (84.658) Epoch: [80][9800/11272] Time 0.717 (0.780) Data 0.001 (0.002) Loss 1.8132 (1.6291) Prec@1 50.000 (56.156) Prec@5 83.125 (84.655) Epoch: [80][9810/11272] Time 0.799 (0.780) Data 0.001 (0.002) Loss 1.5971 (1.6291) Prec@1 60.000 (56.157) Prec@5 83.125 (84.654) Epoch: [80][9820/11272] Time 0.816 (0.780) Data 0.001 (0.002) Loss 1.4677 (1.6291) Prec@1 59.375 (56.157) Prec@5 89.375 (84.655) Epoch: [80][9830/11272] Time 0.736 (0.780) Data 0.001 (0.002) Loss 1.8329 (1.6291) Prec@1 51.250 (56.157) Prec@5 79.375 (84.655) Epoch: [80][9840/11272] Time 0.705 (0.780) Data 0.001 (0.002) Loss 1.5366 (1.6291) Prec@1 56.875 (56.157) Prec@5 86.875 (84.655) Epoch: [80][9850/11272] Time 0.780 (0.780) Data 0.001 (0.002) Loss 1.3778 (1.6291) Prec@1 60.000 (56.157) Prec@5 88.125 (84.655) Epoch: [80][9860/11272] Time 0.820 (0.780) Data 0.001 (0.002) Loss 1.3621 (1.6291) Prec@1 64.375 (56.158) Prec@5 90.000 (84.655) Epoch: [80][9870/11272] Time 0.707 (0.780) Data 0.002 (0.002) Loss 1.6605 (1.6292) Prec@1 54.375 (56.158) Prec@5 86.250 (84.654) Epoch: [80][9880/11272] Time 0.683 (0.780) Data 0.001 (0.002) Loss 1.8129 (1.6293) Prec@1 52.500 (56.155) Prec@5 81.875 (84.653) Epoch: [80][9890/11272] Time 0.852 (0.780) Data 0.002 (0.002) Loss 1.3682 (1.6292) Prec@1 63.750 (56.155) Prec@5 89.375 (84.653) Epoch: [80][9900/11272] Time 0.839 (0.780) Data 0.001 (0.002) Loss 1.5512 (1.6292) Prec@1 60.625 (56.156) Prec@5 83.750 (84.653) Epoch: [80][9910/11272] Time 0.717 (0.780) Data 0.001 (0.002) Loss 1.5800 (1.6292) Prec@1 57.500 (56.157) Prec@5 86.250 (84.652) Epoch: [80][9920/11272] Time 0.850 (0.780) Data 0.002 (0.002) Loss 1.5483 (1.6292) Prec@1 56.875 (56.156) Prec@5 86.250 (84.654) Epoch: [80][9930/11272] Time 0.820 (0.780) Data 0.001 (0.002) Loss 1.8755 (1.6292) Prec@1 53.125 (56.157) Prec@5 78.750 (84.653) Epoch: [80][9940/11272] Time 0.689 (0.780) Data 0.001 (0.002) Loss 1.5600 (1.6292) Prec@1 61.250 (56.158) Prec@5 85.000 (84.652) Epoch: [80][9950/11272] Time 0.707 (0.780) Data 0.001 (0.002) Loss 1.6830 (1.6292) Prec@1 54.375 (56.158) Prec@5 85.000 (84.653) Epoch: [80][9960/11272] Time 0.830 (0.780) Data 0.001 (0.002) Loss 1.6441 (1.6292) Prec@1 58.750 (56.159) Prec@5 83.750 (84.653) Epoch: [80][9970/11272] Time 0.834 (0.780) Data 0.001 (0.002) Loss 1.5831 (1.6292) Prec@1 56.875 (56.159) Prec@5 85.625 (84.653) Epoch: [80][9980/11272] Time 0.694 (0.780) Data 0.001 (0.002) Loss 1.6190 (1.6292) Prec@1 57.500 (56.159) Prec@5 85.625 (84.653) Epoch: [80][9990/11272] Time 0.775 (0.780) Data 0.002 (0.002) Loss 1.7901 (1.6293) Prec@1 49.375 (56.157) Prec@5 84.375 (84.651) Epoch: [80][10000/11272] Time 0.810 (0.780) Data 0.002 (0.002) Loss 1.7297 (1.6293) Prec@1 53.750 (56.156) Prec@5 83.125 (84.650) Epoch: [80][10010/11272] Time 0.822 (0.780) Data 0.001 (0.002) Loss 1.7278 (1.6294) Prec@1 54.375 (56.154) Prec@5 84.375 (84.648) Epoch: [80][10020/11272] Time 0.717 (0.780) Data 0.001 (0.002) Loss 1.9428 (1.6294) Prec@1 53.125 (56.155) Prec@5 80.000 (84.648) Epoch: [80][10030/11272] Time 0.714 (0.780) Data 0.001 (0.002) Loss 1.4536 (1.6294) Prec@1 58.750 (56.155) Prec@5 91.250 (84.650) Epoch: [80][10040/11272] Time 0.859 (0.780) Data 0.002 (0.002) Loss 1.5831 (1.6294) Prec@1 58.750 (56.156) Prec@5 83.750 (84.649) Epoch: [80][10050/11272] Time 0.727 (0.780) Data 0.004 (0.002) Loss 1.6819 (1.6294) Prec@1 54.375 (56.155) Prec@5 83.125 (84.649) Epoch: [80][10060/11272] Time 0.729 (0.780) Data 0.001 (0.002) Loss 1.8326 (1.6295) Prec@1 47.500 (56.152) Prec@5 78.750 (84.647) Epoch: [80][10070/11272] Time 0.810 (0.780) Data 0.001 (0.002) Loss 1.6617 (1.6295) Prec@1 53.125 (56.151) Prec@5 85.625 (84.647) Epoch: [80][10080/11272] Time 0.782 (0.780) Data 0.001 (0.002) Loss 1.6273 (1.6295) Prec@1 55.625 (56.150) Prec@5 86.875 (84.648) Epoch: [80][10090/11272] Time 0.720 (0.780) Data 0.002 (0.002) Loss 1.7215 (1.6296) Prec@1 55.625 (56.151) Prec@5 83.750 (84.648) Epoch: [80][10100/11272] Time 0.710 (0.780) Data 0.001 (0.002) Loss 1.5423 (1.6296) Prec@1 59.375 (56.149) Prec@5 86.250 (84.647) Epoch: [80][10110/11272] Time 0.826 (0.780) Data 0.002 (0.002) Loss 1.5673 (1.6295) Prec@1 56.875 (56.150) Prec@5 85.625 (84.647) Epoch: [80][10120/11272] Time 0.825 (0.780) Data 0.002 (0.002) Loss 1.4690 (1.6295) Prec@1 63.125 (56.150) Prec@5 87.500 (84.648) Epoch: [80][10130/11272] Time 0.741 (0.780) Data 0.002 (0.002) Loss 1.6424 (1.6295) Prec@1 54.375 (56.150) Prec@5 85.625 (84.648) Epoch: [80][10140/11272] Time 0.711 (0.780) Data 0.002 (0.002) Loss 1.5226 (1.6295) Prec@1 54.375 (56.151) Prec@5 85.625 (84.647) Epoch: [80][10150/11272] Time 0.812 (0.780) Data 0.001 (0.002) Loss 1.6271 (1.6295) Prec@1 58.750 (56.151) Prec@5 85.000 (84.647) Epoch: [80][10160/11272] Time 0.825 (0.780) Data 0.001 (0.002) Loss 1.5901 (1.6295) Prec@1 56.250 (56.152) Prec@5 83.750 (84.648) Epoch: [80][10170/11272] Time 0.752 (0.780) Data 0.001 (0.002) Loss 1.4299 (1.6294) Prec@1 60.000 (56.152) Prec@5 90.000 (84.648) Epoch: [80][10180/11272] Time 0.824 (0.780) Data 0.001 (0.002) Loss 1.7007 (1.6295) Prec@1 56.250 (56.151) Prec@5 83.750 (84.647) Epoch: [80][10190/11272] Time 0.846 (0.780) Data 0.001 (0.002) Loss 1.5895 (1.6295) Prec@1 58.750 (56.151) Prec@5 86.250 (84.647) Epoch: [80][10200/11272] Time 0.735 (0.780) Data 0.001 (0.002) Loss 1.5684 (1.6294) Prec@1 58.750 (56.153) Prec@5 86.875 (84.648) Epoch: [80][10210/11272] Time 0.741 (0.780) Data 0.002 (0.002) Loss 1.8941 (1.6295) Prec@1 50.625 (56.151) Prec@5 79.375 (84.647) Epoch: [80][10220/11272] Time 0.856 (0.780) Data 0.001 (0.002) Loss 1.7676 (1.6295) Prec@1 50.000 (56.150) Prec@5 83.125 (84.646) Epoch: [80][10230/11272] Time 0.858 (0.780) Data 0.002 (0.002) Loss 1.5083 (1.6296) Prec@1 60.625 (56.150) Prec@5 86.875 (84.646) Epoch: [80][10240/11272] Time 0.724 (0.780) Data 0.002 (0.002) Loss 1.5084 (1.6295) Prec@1 60.000 (56.152) Prec@5 85.000 (84.647) Epoch: [80][10250/11272] Time 0.734 (0.780) Data 0.001 (0.002) Loss 1.7890 (1.6295) Prec@1 50.000 (56.153) Prec@5 83.125 (84.648) Epoch: [80][10260/11272] Time 0.817 (0.780) Data 0.002 (0.002) Loss 2.0979 (1.6295) Prec@1 46.250 (56.151) Prec@5 77.500 (84.647) Epoch: [80][10270/11272] Time 0.838 (0.780) Data 0.001 (0.002) Loss 1.6014 (1.6296) Prec@1 56.250 (56.151) Prec@5 83.750 (84.646) Epoch: [80][10280/11272] Time 0.748 (0.780) Data 0.001 (0.002) Loss 1.5518 (1.6296) Prec@1 55.000 (56.151) Prec@5 90.000 (84.646) Epoch: [80][10290/11272] Time 0.705 (0.780) Data 0.001 (0.002) Loss 1.7345 (1.6296) Prec@1 48.750 (56.151) Prec@5 83.125 (84.646) Epoch: [80][10300/11272] Time 0.839 (0.780) Data 0.001 (0.002) Loss 1.6952 (1.6296) Prec@1 57.500 (56.152) Prec@5 87.500 (84.646) Epoch: [80][10310/11272] Time 0.827 (0.780) Data 0.001 (0.002) Loss 1.6363 (1.6297) Prec@1 55.625 (56.151) Prec@5 86.875 (84.644) Epoch: [80][10320/11272] Time 0.722 (0.780) Data 0.001 (0.002) Loss 1.5269 (1.6297) Prec@1 56.875 (56.149) Prec@5 85.000 (84.643) Epoch: [80][10330/11272] Time 0.806 (0.780) Data 0.001 (0.002) Loss 1.5977 (1.6298) Prec@1 57.500 (56.149) Prec@5 85.000 (84.643) Epoch: [80][10340/11272] Time 0.819 (0.780) Data 0.001 (0.002) Loss 1.6641 (1.6298) Prec@1 60.000 (56.149) Prec@5 83.125 (84.643) Epoch: [80][10350/11272] Time 0.719 (0.780) Data 0.001 (0.002) Loss 1.6946 (1.6298) Prec@1 48.750 (56.150) Prec@5 86.250 (84.643) Epoch: [80][10360/11272] Time 0.733 (0.780) Data 0.001 (0.002) Loss 1.7134 (1.6297) Prec@1 53.125 (56.150) Prec@5 85.625 (84.644) Epoch: [80][10370/11272] Time 0.831 (0.780) Data 0.001 (0.002) Loss 1.4931 (1.6297) Prec@1 56.250 (56.152) Prec@5 88.750 (84.644) Epoch: [80][10380/11272] Time 0.832 (0.780) Data 0.002 (0.002) Loss 1.6978 (1.6297) Prec@1 54.375 (56.152) Prec@5 86.875 (84.643) Epoch: [80][10390/11272] Time 0.735 (0.780) Data 0.001 (0.002) Loss 1.5708 (1.6297) Prec@1 56.250 (56.151) Prec@5 82.500 (84.644) Epoch: [80][10400/11272] Time 0.712 (0.780) Data 0.002 (0.002) Loss 1.5727 (1.6297) Prec@1 55.625 (56.151) Prec@5 88.750 (84.645) Epoch: [80][10410/11272] Time 0.835 (0.780) Data 0.002 (0.002) Loss 1.5896 (1.6297) Prec@1 53.125 (56.151) Prec@5 85.625 (84.645) Epoch: [80][10420/11272] Time 0.836 (0.780) Data 0.002 (0.002) Loss 1.7159 (1.6297) Prec@1 50.000 (56.149) Prec@5 85.000 (84.645) Epoch: [80][10430/11272] Time 0.712 (0.780) Data 0.001 (0.002) Loss 1.5500 (1.6297) Prec@1 55.000 (56.147) Prec@5 84.375 (84.645) Epoch: [80][10440/11272] Time 0.719 (0.780) Data 0.001 (0.002) Loss 1.6460 (1.6297) Prec@1 58.125 (56.149) Prec@5 85.000 (84.646) Epoch: [80][10450/11272] Time 0.830 (0.780) Data 0.001 (0.002) Loss 1.6251 (1.6297) Prec@1 58.750 (56.149) Prec@5 85.625 (84.647) Epoch: [80][10460/11272] Time 0.703 (0.780) Data 0.002 (0.002) Loss 1.7878 (1.6297) Prec@1 56.250 (56.148) Prec@5 83.125 (84.646) Epoch: [80][10470/11272] Time 0.729 (0.780) Data 0.001 (0.002) Loss 1.7690 (1.6297) Prec@1 48.750 (56.146) Prec@5 78.750 (84.646) Epoch: [80][10480/11272] Time 0.810 (0.780) Data 0.001 (0.002) Loss 1.5397 (1.6297) Prec@1 58.125 (56.146) Prec@5 85.625 (84.646) Epoch: [80][10490/11272] Time 0.825 (0.780) Data 0.002 (0.002) Loss 1.5195 (1.6296) Prec@1 56.250 (56.148) Prec@5 87.500 (84.647) Epoch: [80][10500/11272] Time 0.718 (0.780) Data 0.001 (0.002) Loss 1.5368 (1.6297) Prec@1 56.875 (56.146) Prec@5 85.000 (84.647) Epoch: [80][10510/11272] Time 0.726 (0.780) Data 0.002 (0.002) Loss 1.7700 (1.6297) Prec@1 51.250 (56.145) Prec@5 83.125 (84.645) Epoch: [80][10520/11272] Time 0.805 (0.780) Data 0.002 (0.002) Loss 1.6450 (1.6297) Prec@1 57.500 (56.145) Prec@5 84.375 (84.646) Epoch: [80][10530/11272] Time 0.787 (0.780) Data 0.001 (0.002) Loss 1.6461 (1.6297) Prec@1 53.125 (56.144) Prec@5 84.375 (84.645) Epoch: [80][10540/11272] Time 0.734 (0.780) Data 0.001 (0.002) Loss 1.7064 (1.6298) Prec@1 48.125 (56.143) Prec@5 84.375 (84.645) Epoch: [80][10550/11272] Time 0.704 (0.780) Data 0.001 (0.002) Loss 1.2340 (1.6298) Prec@1 63.750 (56.143) Prec@5 92.500 (84.645) Epoch: [80][10560/11272] Time 0.829 (0.780) Data 0.002 (0.002) Loss 1.7340 (1.6298) Prec@1 55.000 (56.143) Prec@5 81.875 (84.643) Epoch: [80][10570/11272] Time 0.811 (0.780) Data 0.002 (0.002) Loss 1.5114 (1.6297) Prec@1 58.125 (56.144) Prec@5 87.500 (84.645) Epoch: [80][10580/11272] Time 0.704 (0.780) Data 0.001 (0.002) Loss 1.7545 (1.6299) Prec@1 51.875 (56.141) Prec@5 81.875 (84.642) Epoch: [80][10590/11272] Time 0.813 (0.780) Data 0.001 (0.002) Loss 1.5833 (1.6299) Prec@1 60.000 (56.141) Prec@5 85.000 (84.642) Epoch: [80][10600/11272] Time 0.828 (0.780) Data 0.001 (0.002) Loss 1.5673 (1.6299) Prec@1 55.000 (56.141) Prec@5 86.250 (84.642) Epoch: [80][10610/11272] Time 0.728 (0.779) Data 0.001 (0.002) Loss 1.7433 (1.6300) Prec@1 52.500 (56.140) Prec@5 84.375 (84.642) Epoch: [80][10620/11272] Time 0.738 (0.779) Data 0.001 (0.002) Loss 1.4556 (1.6300) Prec@1 55.000 (56.140) Prec@5 87.500 (84.641) Epoch: [80][10630/11272] Time 0.815 (0.779) Data 0.002 (0.002) Loss 1.4952 (1.6300) Prec@1 60.000 (56.140) Prec@5 88.125 (84.642) Epoch: [80][10640/11272] Time 0.802 (0.779) Data 0.001 (0.002) Loss 1.4763 (1.6300) Prec@1 64.375 (56.139) Prec@5 86.250 (84.642) Epoch: [80][10650/11272] Time 0.716 (0.779) Data 0.002 (0.002) Loss 1.4003 (1.6300) Prec@1 57.500 (56.140) Prec@5 88.125 (84.642) Epoch: [80][10660/11272] Time 0.708 (0.779) Data 0.002 (0.002) Loss 1.5233 (1.6300) Prec@1 58.125 (56.140) Prec@5 85.625 (84.641) Epoch: [80][10670/11272] Time 0.814 (0.779) Data 0.001 (0.002) Loss 1.4261 (1.6301) Prec@1 63.750 (56.141) Prec@5 84.375 (84.640) Epoch: [80][10680/11272] Time 0.825 (0.779) Data 0.001 (0.002) Loss 1.5335 (1.6300) Prec@1 56.875 (56.141) Prec@5 86.875 (84.639) Epoch: [80][10690/11272] Time 0.742 (0.779) Data 0.001 (0.002) Loss 1.5499 (1.6301) Prec@1 56.875 (56.141) Prec@5 82.500 (84.637) Epoch: [80][10700/11272] Time 0.723 (0.779) Data 0.001 (0.002) Loss 1.5989 (1.6301) Prec@1 55.625 (56.142) Prec@5 86.250 (84.636) Epoch: [80][10710/11272] Time 0.854 (0.779) Data 0.002 (0.002) Loss 1.6081 (1.6301) Prec@1 59.375 (56.141) Prec@5 84.375 (84.637) Epoch: [80][10720/11272] Time 0.705 (0.779) Data 0.003 (0.002) Loss 1.7156 (1.6301) Prec@1 53.125 (56.141) Prec@5 83.125 (84.635) Epoch: [80][10730/11272] Time 0.708 (0.779) Data 0.001 (0.002) Loss 1.7476 (1.6301) Prec@1 50.000 (56.142) Prec@5 85.625 (84.636) Epoch: [80][10740/11272] Time 0.809 (0.779) Data 0.001 (0.002) Loss 1.7361 (1.6301) Prec@1 56.250 (56.141) Prec@5 82.500 (84.635) Epoch: [80][10750/11272] Time 0.787 (0.779) Data 0.001 (0.002) Loss 1.9649 (1.6301) Prec@1 51.250 (56.139) Prec@5 78.750 (84.635) Epoch: [80][10760/11272] Time 0.724 (0.779) Data 0.001 (0.002) Loss 1.7501 (1.6302) Prec@1 54.375 (56.140) Prec@5 82.500 (84.635) Epoch: [80][10770/11272] Time 0.699 (0.779) Data 0.002 (0.002) Loss 1.5063 (1.6301) Prec@1 56.875 (56.140) Prec@5 84.375 (84.635) Epoch: [80][10780/11272] Time 0.838 (0.779) Data 0.001 (0.002) Loss 1.7277 (1.6301) Prec@1 51.875 (56.140) Prec@5 84.375 (84.635) Epoch: [80][10790/11272] Time 0.813 (0.779) Data 0.002 (0.002) Loss 1.5651 (1.6301) Prec@1 56.250 (56.140) Prec@5 87.500 (84.636) Epoch: [80][10800/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.6541 (1.6301) Prec@1 53.750 (56.142) Prec@5 85.625 (84.638) Epoch: [80][10810/11272] Time 0.720 (0.779) Data 0.002 (0.002) Loss 1.8999 (1.6301) Prec@1 50.625 (56.141) Prec@5 80.625 (84.637) Epoch: [80][10820/11272] Time 0.823 (0.779) Data 0.002 (0.002) Loss 1.6991 (1.6301) Prec@1 51.250 (56.141) Prec@5 86.250 (84.637) Epoch: [80][10830/11272] Time 0.808 (0.779) Data 0.001 (0.002) Loss 1.8436 (1.6301) Prec@1 50.625 (56.143) Prec@5 80.625 (84.637) Epoch: [80][10840/11272] Time 0.746 (0.779) Data 0.002 (0.002) Loss 1.5419 (1.6300) Prec@1 56.250 (56.143) Prec@5 85.625 (84.638) Epoch: [80][10850/11272] Time 0.865 (0.779) Data 0.002 (0.002) Loss 1.4277 (1.6300) Prec@1 55.000 (56.142) Prec@5 86.250 (84.638) Epoch: [80][10860/11272] Time 0.886 (0.779) Data 0.002 (0.002) Loss 1.7901 (1.6301) Prec@1 50.000 (56.141) Prec@5 81.250 (84.637) Epoch: [80][10870/11272] Time 0.723 (0.779) Data 0.001 (0.002) Loss 1.6014 (1.6301) Prec@1 53.750 (56.141) Prec@5 85.625 (84.636) Epoch: [80][10880/11272] Time 0.741 (0.779) Data 0.002 (0.002) Loss 1.6807 (1.6301) Prec@1 58.750 (56.141) Prec@5 83.750 (84.635) Epoch: [80][10890/11272] Time 0.847 (0.779) Data 0.001 (0.002) Loss 1.4289 (1.6301) Prec@1 60.625 (56.140) Prec@5 88.750 (84.637) Epoch: [80][10900/11272] Time 0.808 (0.779) Data 0.001 (0.002) Loss 1.5638 (1.6301) Prec@1 60.625 (56.140) Prec@5 88.125 (84.638) Epoch: [80][10910/11272] Time 0.736 (0.779) Data 0.002 (0.002) Loss 1.4649 (1.6301) Prec@1 50.000 (56.140) Prec@5 90.000 (84.638) Epoch: [80][10920/11272] Time 0.725 (0.779) Data 0.002 (0.002) Loss 1.6570 (1.6301) Prec@1 61.875 (56.140) Prec@5 82.500 (84.638) Epoch: [80][10930/11272] Time 0.821 (0.779) Data 0.001 (0.002) Loss 1.8191 (1.6301) Prec@1 55.000 (56.141) Prec@5 84.375 (84.637) Epoch: [80][10940/11272] Time 0.832 (0.779) Data 0.001 (0.002) Loss 1.6549 (1.6302) Prec@1 57.500 (56.139) Prec@5 84.375 (84.637) Epoch: [80][10950/11272] Time 0.717 (0.779) Data 0.002 (0.002) Loss 1.8536 (1.6302) Prec@1 51.875 (56.138) Prec@5 76.250 (84.636) Epoch: [80][10960/11272] Time 0.759 (0.779) Data 0.002 (0.002) Loss 1.6061 (1.6302) Prec@1 61.875 (56.140) Prec@5 81.250 (84.635) Epoch: [80][10970/11272] Time 0.845 (0.779) Data 0.002 (0.002) Loss 1.7089 (1.6301) Prec@1 56.250 (56.141) Prec@5 80.625 (84.635) Epoch: [80][10980/11272] Time 0.712 (0.779) Data 0.003 (0.002) Loss 1.4080 (1.6301) Prec@1 60.000 (56.141) Prec@5 87.500 (84.636) Epoch: [80][10990/11272] Time 0.766 (0.779) Data 0.002 (0.002) Loss 1.7848 (1.6301) Prec@1 48.125 (56.139) Prec@5 81.875 (84.636) Epoch: [80][11000/11272] Time 0.810 (0.779) Data 0.002 (0.002) Loss 1.8697 (1.6301) Prec@1 50.000 (56.140) Prec@5 83.750 (84.637) Epoch: [80][11010/11272] Time 0.846 (0.779) Data 0.001 (0.002) Loss 1.3782 (1.6301) Prec@1 61.875 (56.139) Prec@5 88.750 (84.638) Epoch: [80][11020/11272] Time 0.725 (0.779) Data 0.002 (0.002) Loss 1.6251 (1.6301) Prec@1 55.000 (56.139) Prec@5 86.250 (84.637) Epoch: [80][11030/11272] Time 0.724 (0.779) Data 0.002 (0.002) Loss 1.6119 (1.6301) Prec@1 55.625 (56.139) Prec@5 85.625 (84.637) Epoch: [80][11040/11272] Time 0.841 (0.779) Data 0.002 (0.002) Loss 1.9164 (1.6302) Prec@1 52.500 (56.138) Prec@5 81.250 (84.636) Epoch: [80][11050/11272] Time 0.812 (0.779) Data 0.001 (0.002) Loss 1.5025 (1.6302) Prec@1 58.125 (56.138) Prec@5 89.375 (84.637) Epoch: [80][11060/11272] Time 0.738 (0.779) Data 0.002 (0.002) Loss 1.5558 (1.6303) Prec@1 56.250 (56.138) Prec@5 86.875 (84.637) Epoch: [80][11070/11272] Time 0.727 (0.779) Data 0.001 (0.002) Loss 1.8428 (1.6303) Prec@1 47.500 (56.137) Prec@5 80.000 (84.636) Epoch: [80][11080/11272] Time 0.889 (0.779) Data 0.002 (0.002) Loss 1.6445 (1.6304) Prec@1 46.875 (56.135) Prec@5 90.625 (84.635) Epoch: [80][11090/11272] Time 0.837 (0.779) Data 0.001 (0.002) Loss 2.1745 (1.6304) Prec@1 46.250 (56.135) Prec@5 75.000 (84.634) Epoch: [80][11100/11272] Time 0.741 (0.779) Data 0.001 (0.002) Loss 1.5730 (1.6304) Prec@1 56.250 (56.136) Prec@5 82.500 (84.635) Epoch: [80][11110/11272] Time 0.867 (0.779) Data 0.001 (0.002) Loss 1.5890 (1.6304) Prec@1 62.500 (56.135) Prec@5 86.875 (84.633) Epoch: [80][11120/11272] Time 0.832 (0.779) Data 0.001 (0.002) Loss 1.7128 (1.6304) Prec@1 48.750 (56.134) Prec@5 83.750 (84.633) Epoch: [80][11130/11272] Time 0.731 (0.779) Data 0.001 (0.002) Loss 1.8727 (1.6305) Prec@1 50.000 (56.133) Prec@5 81.875 (84.632) Epoch: [80][11140/11272] Time 0.714 (0.779) Data 0.001 (0.002) Loss 1.6363 (1.6304) Prec@1 56.875 (56.134) Prec@5 83.125 (84.634) Epoch: [80][11150/11272] Time 0.821 (0.779) Data 0.001 (0.002) Loss 1.4674 (1.6303) Prec@1 61.250 (56.135) Prec@5 87.500 (84.635) Epoch: [80][11160/11272] Time 0.856 (0.779) Data 0.001 (0.002) Loss 1.6422 (1.6304) Prec@1 51.250 (56.133) Prec@5 86.250 (84.635) Epoch: [80][11170/11272] Time 0.719 (0.779) Data 0.002 (0.002) Loss 1.5375 (1.6304) Prec@1 57.500 (56.134) Prec@5 86.875 (84.636) Epoch: [80][11180/11272] Time 0.713 (0.779) Data 0.001 (0.002) Loss 1.5129 (1.6304) Prec@1 57.500 (56.133) Prec@5 84.375 (84.635) Epoch: [80][11190/11272] Time 0.815 (0.779) Data 0.001 (0.002) Loss 1.8090 (1.6303) Prec@1 46.875 (56.134) Prec@5 81.250 (84.634) Epoch: [80][11200/11272] Time 0.870 (0.779) Data 0.001 (0.002) Loss 1.5473 (1.6304) Prec@1 58.125 (56.134) Prec@5 83.750 (84.633) Epoch: [80][11210/11272] Time 0.728 (0.779) Data 0.002 (0.002) Loss 1.6099 (1.6304) Prec@1 56.250 (56.134) Prec@5 85.625 (84.633) Epoch: [80][11220/11272] Time 0.731 (0.779) Data 0.002 (0.002) Loss 1.6979 (1.6304) Prec@1 55.625 (56.134) Prec@5 83.125 (84.632) Epoch: [80][11230/11272] Time 0.813 (0.779) Data 0.001 (0.002) Loss 1.4890 (1.6304) Prec@1 61.250 (56.135) Prec@5 86.875 (84.632) Epoch: [80][11240/11272] Time 0.867 (0.779) Data 0.002 (0.002) Loss 1.4580 (1.6303) Prec@1 59.375 (56.134) Prec@5 85.625 (84.633) Epoch: [80][11250/11272] Time 0.712 (0.779) Data 0.001 (0.002) Loss 1.4768 (1.6303) Prec@1 58.750 (56.135) Prec@5 88.750 (84.633) Epoch: [80][11260/11272] Time 0.795 (0.779) Data 0.002 (0.002) Loss 1.5675 (1.6303) Prec@1 56.250 (56.136) Prec@5 87.500 (84.635) Epoch: [80][11270/11272] Time 0.762 (0.779) Data 0.000 (0.002) Loss 1.6608 (1.6303) Prec@1 56.875 (56.134) Prec@5 83.125 (84.634) Test: [0/229] Time 3.286 (3.286) Loss 0.9636 (0.9636) Prec@1 67.500 (67.500) Prec@5 96.875 (96.875) Test: [10/229] Time 0.285 (0.772) Loss 1.1385 (1.5889) Prec@1 63.750 (57.841) Prec@5 97.500 (87.045) Test: [20/229] Time 1.149 (0.717) Loss 1.9190 (1.6404) Prec@1 50.000 (55.238) Prec@5 84.375 (87.351) Test: [30/229] Time 0.416 (0.664) Loss 1.9098 (1.5838) Prec@1 45.625 (57.339) Prec@5 86.250 (87.540) Test: [40/229] Time 1.285 (0.655) Loss 0.4236 (1.5850) Prec@1 90.625 (57.226) Prec@5 94.375 (87.180) Test: [50/229] Time 0.398 (0.637) Loss 2.1852 (1.6451) Prec@1 36.875 (56.054) Prec@5 82.500 (86.127) Test: [60/229] Time 1.347 (0.638) Loss 2.1917 (1.6506) Prec@1 41.875 (55.902) Prec@5 85.625 (85.984) Test: [70/229] Time 0.365 (0.628) Loss 1.3778 (1.6691) Prec@1 70.000 (55.607) Prec@5 84.375 (85.634) Test: [80/229] Time 1.164 (0.626) Loss 2.1494 (1.6805) Prec@1 41.875 (54.977) Prec@5 84.375 (85.748) Test: [90/229] Time 0.344 (0.618) Loss 1.3480 (1.6878) Prec@1 71.875 (54.794) Prec@5 86.250 (85.659) Test: [100/229] Time 1.273 (0.619) Loss 1.9358 (1.6792) Prec@1 52.500 (55.099) Prec@5 83.750 (85.780) Test: [110/229] Time 0.307 (0.612) Loss 1.4801 (1.6612) Prec@1 61.250 (55.355) Prec@5 86.875 (85.963) Test: [120/229] Time 1.220 (0.616) Loss 2.8217 (1.6792) Prec@1 33.750 (54.886) Prec@5 74.375 (85.764) Test: [130/229] Time 0.323 (0.611) Loss 1.0774 (1.6568) Prec@1 66.250 (55.420) Prec@5 95.000 (85.964) Test: [140/229] Time 1.052 (0.613) Loss 1.7909 (1.6675) Prec@1 51.875 (55.199) Prec@5 85.000 (85.824) Test: [150/229] Time 0.593 (0.609) Loss 1.0240 (1.6826) Prec@1 78.750 (54.880) Prec@5 90.000 (85.637) Test: [160/229] Time 0.537 (0.609) Loss 1.7678 (1.6848) Prec@1 56.250 (54.786) Prec@5 85.625 (85.602) Test: [170/229] Time 0.673 (0.608) Loss 1.5723 (1.6972) Prec@1 56.875 (54.419) Prec@5 86.875 (85.435) Test: [180/229] Time 0.578 (0.609) Loss 2.3099 (1.7044) Prec@1 36.875 (54.358) Prec@5 74.375 (85.276) Test: [190/229] Time 0.888 (0.608) Loss 1.2378 (1.6961) Prec@1 63.125 (54.568) Prec@5 95.000 (85.363) Test: [200/229] Time 0.346 (0.607) Loss 1.8975 (1.6903) Prec@1 43.750 (54.614) Prec@5 80.625 (85.494) Test: [210/229] Time 1.051 (0.608) Loss 1.2049 (1.6816) Prec@1 67.500 (54.852) Prec@5 92.500 (85.584) Test: [220/229] Time 0.428 (0.607) Loss 1.6651 (1.6744) Prec@1 54.375 (55.136) Prec@5 86.250 (85.617) * Prec@1 55.430 Prec@5 85.664 Epoch: [81][0/11272] Time 4.598 (4.598) Data 3.623 (3.623) Loss 1.6220 (1.6220) Prec@1 58.125 (58.125) Prec@5 83.125 (83.125) Epoch: [81][10/11272] Time 0.841 (1.119) Data 0.002 (0.331) Loss 1.6816 (1.6228) Prec@1 57.500 (56.591) Prec@5 86.250 (84.205) Epoch: [81][20/11272] Time 0.713 (0.951) Data 0.002 (0.174) Loss 1.4872 (1.5958) Prec@1 61.875 (56.964) Prec@5 87.500 (84.673) Epoch: [81][30/11272] Time 0.708 (0.894) Data 0.001 (0.118) Loss 1.8473 (1.5999) Prec@1 53.750 (57.157) Prec@5 80.625 (84.879) Epoch: [81][40/11272] Time 0.803 (0.867) Data 0.002 (0.090) Loss 1.5920 (1.5868) Prec@1 61.250 (57.287) Prec@5 86.250 (85.213) Epoch: [81][50/11272] Time 0.827 (0.846) Data 0.001 (0.073) Loss 1.6436 (1.5796) Prec@1 53.750 (57.353) Prec@5 85.000 (85.368) Epoch: [81][60/11272] Time 0.692 (0.832) Data 0.002 (0.061) Loss 1.4441 (1.5841) Prec@1 61.250 (57.223) Prec@5 83.125 (85.246) Epoch: [81][70/11272] Time 0.802 (0.822) Data 0.001 (0.053) Loss 1.5146 (1.5889) Prec@1 51.875 (57.007) Prec@5 88.750 (85.211) Epoch: [81][80/11272] Time 0.814 (0.816) Data 0.001 (0.046) Loss 1.7285 (1.5851) Prec@1 53.750 (57.330) Prec@5 85.000 (85.324) Epoch: [81][90/11272] Time 0.717 (0.810) Data 0.001 (0.041) Loss 1.6162 (1.5916) Prec@1 56.875 (57.253) Prec@5 83.125 (85.323) Epoch: [81][100/11272] Time 0.696 (0.806) Data 0.001 (0.037) Loss 1.6379 (1.5954) Prec@1 58.125 (57.166) Prec@5 83.750 (85.278) Epoch: [81][110/11272] Time 0.806 (0.803) Data 0.001 (0.034) Loss 1.6702 (1.5995) Prec@1 53.750 (57.128) Prec@5 83.750 (85.191) Epoch: [81][120/11272] Time 0.804 (0.800) Data 0.001 (0.031) Loss 1.5535 (1.5993) Prec@1 55.000 (57.149) Prec@5 89.375 (85.258) Epoch: [81][130/11272] Time 0.727 (0.798) Data 0.002 (0.029) Loss 1.6045 (1.5984) Prec@1 55.625 (57.123) Prec@5 83.125 (85.239) Epoch: [81][140/11272] Time 0.703 (0.797) Data 0.002 (0.027) Loss 1.6857 (1.5967) Prec@1 54.375 (57.114) Prec@5 82.500 (85.293) Epoch: [81][150/11272] Time 0.801 (0.797) Data 0.001 (0.025) Loss 1.5129 (1.5932) Prec@1 56.250 (57.161) Prec@5 86.250 (85.352) Epoch: [81][160/11272] Time 0.808 (0.796) Data 0.002 (0.024) Loss 1.5653 (1.5978) Prec@1 52.500 (57.108) Prec@5 85.000 (85.264) Epoch: [81][170/11272] Time 0.758 (0.795) Data 0.002 (0.023) Loss 1.3687 (1.5990) Prec@1 64.375 (57.072) Prec@5 88.125 (85.238) Epoch: [81][180/11272] Time 0.709 (0.794) Data 0.001 (0.022) Loss 1.6390 (1.5950) Prec@1 54.375 (57.206) Prec@5 84.375 (85.290) Epoch: [81][190/11272] Time 0.819 (0.792) Data 0.002 (0.020) Loss 1.8201 (1.5986) Prec@1 50.625 (57.101) Prec@5 80.000 (85.203) Epoch: [81][200/11272] Time 0.760 (0.792) Data 0.002 (0.020) Loss 1.5018 (1.6009) Prec@1 62.500 (57.065) Prec@5 83.125 (85.162) Epoch: [81][210/11272] Time 0.763 (0.791) Data 0.002 (0.019) Loss 1.5988 (1.6012) Prec@1 58.750 (57.008) Prec@5 82.500 (85.130) Epoch: [81][220/11272] Time 0.868 (0.790) Data 0.002 (0.018) Loss 1.6311 (1.6006) Prec@1 56.250 (57.039) Prec@5 86.875 (85.147) Epoch: [81][230/11272] Time 0.791 (0.789) Data 0.001 (0.017) Loss 1.5283 (1.6012) Prec@1 61.875 (57.070) Prec@5 86.875 (85.106) Epoch: [81][240/11272] Time 0.706 (0.789) Data 0.002 (0.017) Loss 1.5244 (1.6021) Prec@1 56.250 (56.981) Prec@5 88.750 (85.096) Epoch: [81][250/11272] Time 0.713 (0.788) Data 0.001 (0.016) Loss 1.7592 (1.6019) Prec@1 51.250 (57.009) Prec@5 81.250 (85.134) Epoch: [81][260/11272] Time 0.824 (0.787) Data 0.002 (0.015) Loss 1.6557 (1.6031) Prec@1 51.875 (56.971) Prec@5 85.625 (85.103) Epoch: [81][270/11272] Time 0.853 (0.786) Data 0.002 (0.015) Loss 1.7281 (1.6041) Prec@1 53.125 (56.919) Prec@5 84.375 (85.115) Epoch: [81][280/11272] Time 0.722 (0.786) Data 0.001 (0.014) Loss 1.4175 (1.6049) Prec@1 66.250 (56.922) Prec@5 87.500 (85.105) Epoch: [81][290/11272] Time 0.710 (0.785) Data 0.001 (0.014) Loss 1.7916 (1.6071) Prec@1 52.500 (56.899) Prec@5 82.500 (85.062) Epoch: [81][300/11272] Time 0.844 (0.786) Data 0.002 (0.014) Loss 1.6896 (1.6074) Prec@1 53.125 (56.836) Prec@5 83.125 (85.056) Epoch: [81][310/11272] Time 0.813 (0.785) Data 0.002 (0.013) Loss 1.5434 (1.6076) Prec@1 58.125 (56.859) Prec@5 82.500 (85.050) Epoch: [81][320/11272] Time 0.716 (0.785) Data 0.001 (0.013) Loss 1.3820 (1.6072) Prec@1 62.500 (56.840) Prec@5 90.000 (85.080) Epoch: [81][330/11272] Time 0.819 (0.785) Data 0.001 (0.012) Loss 1.5227 (1.6064) Prec@1 62.500 (56.856) Prec@5 86.875 (85.121) Epoch: [81][340/11272] Time 0.825 (0.784) Data 0.002 (0.012) Loss 1.7882 (1.6074) Prec@1 54.375 (56.837) Prec@5 81.250 (85.064) Epoch: [81][350/11272] Time 0.704 (0.784) Data 0.001 (0.012) Loss 1.5255 (1.6075) Prec@1 58.125 (56.791) Prec@5 86.250 (85.075) Epoch: [81][360/11272] Time 0.718 (0.783) Data 0.002 (0.012) Loss 1.3373 (1.6073) Prec@1 58.750 (56.788) Prec@5 90.625 (85.097) Epoch: [81][370/11272] Time 0.816 (0.783) Data 0.001 (0.011) Loss 1.4244 (1.6083) Prec@1 64.375 (56.739) Prec@5 86.250 (85.047) Epoch: [81][380/11272] Time 0.815 (0.782) Data 0.001 (0.011) Loss 1.5526 (1.6087) Prec@1 58.750 (56.763) Prec@5 83.750 (85.030) Epoch: [81][390/11272] Time 0.721 (0.782) Data 0.001 (0.011) Loss 1.6380 (1.6097) Prec@1 63.125 (56.731) Prec@5 84.375 (85.019) Epoch: [81][400/11272] Time 0.722 (0.782) Data 0.001 (0.011) Loss 1.2570 (1.6090) Prec@1 63.750 (56.755) Prec@5 91.250 (85.014) Epoch: [81][410/11272] Time 0.833 (0.782) Data 0.002 (0.010) Loss 1.6605 (1.6077) Prec@1 56.250 (56.746) Prec@5 85.625 (85.038) Epoch: [81][420/11272] Time 0.804 (0.782) Data 0.001 (0.010) Loss 1.6117 (1.6066) Prec@1 59.375 (56.783) Prec@5 85.000 (85.039) Epoch: [81][430/11272] Time 0.743 (0.782) Data 0.002 (0.010) Loss 1.6030 (1.6070) Prec@1 61.250 (56.808) Prec@5 83.125 (85.035) Epoch: [81][440/11272] Time 0.712 (0.781) Data 0.001 (0.010) Loss 1.4940 (1.6078) Prec@1 58.750 (56.790) Prec@5 87.500 (85.018) Epoch: [81][450/11272] Time 0.812 (0.781) Data 0.001 (0.010) Loss 1.5484 (1.6072) Prec@1 60.000 (56.795) Prec@5 84.375 (85.018) Epoch: [81][460/11272] Time 0.718 (0.781) Data 0.003 (0.009) Loss 1.8084 (1.6075) Prec@1 48.750 (56.760) Prec@5 83.750 (85.011) Epoch: [81][470/11272] Time 0.716 (0.780) Data 0.001 (0.009) Loss 1.6894 (1.6080) Prec@1 58.125 (56.766) Prec@5 85.625 (85.013) Epoch: [81][480/11272] Time 0.812 (0.780) Data 0.001 (0.009) Loss 1.6930 (1.6077) Prec@1 53.125 (56.785) Prec@5 83.125 (85.004) Epoch: [81][490/11272] Time 0.839 (0.780) Data 0.001 (0.009) Loss 1.5470 (1.6071) Prec@1 59.375 (56.800) Prec@5 85.000 (85.033) Epoch: [81][500/11272] Time 0.708 (0.780) Data 0.002 (0.009) Loss 1.5823 (1.6067) Prec@1 60.000 (56.824) Prec@5 84.375 (85.027) Epoch: [81][510/11272] Time 0.693 (0.780) Data 0.001 (0.009) Loss 1.4052 (1.6059) Prec@1 62.500 (56.852) Prec@5 90.000 (85.026) Epoch: [81][520/11272] Time 0.811 (0.780) Data 0.002 (0.008) Loss 1.6358 (1.6043) Prec@1 54.375 (56.876) Prec@5 86.250 (85.070) Epoch: [81][530/11272] Time 0.804 (0.780) Data 0.002 (0.008) Loss 1.6484 (1.6041) Prec@1 55.000 (56.874) Prec@5 86.250 (85.075) Epoch: [81][540/11272] Time 0.707 (0.779) Data 0.002 (0.008) Loss 1.3994 (1.6031) Prec@1 61.250 (56.887) Prec@5 90.625 (85.099) Epoch: [81][550/11272] Time 0.703 (0.779) Data 0.001 (0.008) Loss 1.3727 (1.6038) Prec@1 61.250 (56.867) Prec@5 88.125 (85.087) Epoch: [81][560/11272] Time 0.821 (0.779) Data 0.001 (0.008) Loss 1.5162 (1.6048) Prec@1 58.750 (56.847) Prec@5 86.875 (85.057) Epoch: [81][570/11272] Time 0.823 (0.778) Data 0.002 (0.008) Loss 1.7748 (1.6049) Prec@1 56.250 (56.875) Prec@5 81.250 (85.051) Epoch: [81][580/11272] Time 0.748 (0.779) Data 0.001 (0.008) Loss 1.3606 (1.6041) Prec@1 65.625 (56.894) Prec@5 90.000 (85.060) Epoch: [81][590/11272] Time 0.868 (0.779) Data 0.001 (0.008) Loss 1.6397 (1.6039) Prec@1 62.500 (56.908) Prec@5 84.375 (85.066) Epoch: [81][600/11272] Time 0.824 (0.779) Data 0.002 (0.008) Loss 1.6308 (1.6036) Prec@1 61.250 (56.877) Prec@5 85.000 (85.095) Epoch: [81][610/11272] Time 0.719 (0.778) Data 0.001 (0.007) Loss 1.5908 (1.6040) Prec@1 60.625 (56.887) Prec@5 85.000 (85.081) Epoch: [81][620/11272] Time 0.715 (0.778) Data 0.002 (0.007) Loss 1.7265 (1.6031) Prec@1 56.250 (56.886) Prec@5 85.000 (85.090) Epoch: [81][630/11272] Time 0.794 (0.778) Data 0.001 (0.007) Loss 1.4251 (1.6023) Prec@1 56.250 (56.901) Prec@5 89.375 (85.111) Epoch: [81][640/11272] Time 0.809 (0.778) Data 0.002 (0.007) Loss 1.5454 (1.6032) Prec@1 58.125 (56.879) Prec@5 83.750 (85.087) Epoch: [81][650/11272] Time 0.701 (0.778) Data 0.001 (0.007) Loss 1.6433 (1.6030) Prec@1 55.625 (56.867) Prec@5 85.625 (85.090) Epoch: [81][660/11272] Time 0.725 (0.777) Data 0.002 (0.007) Loss 1.6186 (1.6029) Prec@1 58.750 (56.870) Prec@5 83.125 (85.101) Epoch: [81][670/11272] Time 0.805 (0.778) Data 0.002 (0.007) Loss 1.7877 (1.6027) Prec@1 47.500 (56.856) Prec@5 81.875 (85.115) Epoch: [81][680/11272] Time 0.802 (0.777) Data 0.001 (0.007) Loss 1.4489 (1.6028) Prec@1 58.750 (56.855) Prec@5 88.125 (85.112) Epoch: [81][690/11272] Time 0.721 (0.777) Data 0.002 (0.007) Loss 1.6232 (1.6031) Prec@1 56.250 (56.830) Prec@5 85.000 (85.109) Epoch: [81][700/11272] Time 0.711 (0.777) Data 0.002 (0.007) Loss 1.8091 (1.6034) Prec@1 48.125 (56.806) Prec@5 81.250 (85.112) Epoch: [81][710/11272] Time 0.798 (0.777) Data 0.001 (0.007) Loss 1.4313 (1.6025) Prec@1 59.375 (56.828) Prec@5 85.625 (85.127) Epoch: [81][720/11272] Time 0.700 (0.777) Data 0.003 (0.007) Loss 1.5924 (1.6020) Prec@1 60.000 (56.866) Prec@5 85.000 (85.129) Epoch: [81][730/11272] Time 0.712 (0.777) Data 0.001 (0.006) Loss 1.4972 (1.6009) Prec@1 58.750 (56.913) Prec@5 85.625 (85.144) Epoch: [81][740/11272] Time 0.844 (0.777) Data 0.002 (0.006) Loss 1.6424 (1.6010) Prec@1 57.500 (56.924) Prec@5 83.125 (85.143) Epoch: [81][750/11272] Time 0.823 (0.777) Data 0.001 (0.006) Loss 1.8120 (1.6022) Prec@1 55.625 (56.902) Prec@5 81.250 (85.122) Epoch: [81][760/11272] Time 0.708 (0.777) Data 0.001 (0.006) Loss 1.7919 (1.6023) Prec@1 52.500 (56.917) Prec@5 85.000 (85.107) Epoch: [81][770/11272] Time 0.716 (0.777) Data 0.001 (0.006) Loss 1.5939 (1.6023) Prec@1 58.750 (56.918) Prec@5 83.750 (85.097) Epoch: [81][780/11272] Time 0.826 (0.777) Data 0.001 (0.006) Loss 1.7748 (1.6023) Prec@1 53.125 (56.906) Prec@5 82.500 (85.098) Epoch: [81][790/11272] Time 0.811 (0.777) Data 0.001 (0.006) Loss 1.6796 (1.6020) Prec@1 57.500 (56.922) Prec@5 84.375 (85.099) Epoch: [81][800/11272] Time 0.712 (0.777) Data 0.001 (0.006) Loss 1.7232 (1.6020) Prec@1 55.000 (56.933) Prec@5 80.000 (85.083) Epoch: [81][810/11272] Time 0.694 (0.777) Data 0.001 (0.006) Loss 1.8624 (1.6037) Prec@1 46.250 (56.904) Prec@5 84.375 (85.052) Epoch: [81][820/11272] Time 0.824 (0.776) Data 0.002 (0.006) Loss 1.3711 (1.6023) Prec@1 61.875 (56.915) Prec@5 87.500 (85.084) Epoch: [81][830/11272] Time 0.819 (0.776) Data 0.002 (0.006) Loss 1.3999 (1.6018) Prec@1 59.375 (56.910) Prec@5 90.000 (85.098) Epoch: [81][840/11272] Time 0.711 (0.776) Data 0.002 (0.006) Loss 1.7385 (1.6015) Prec@1 51.875 (56.906) Prec@5 85.625 (85.116) Epoch: [81][850/11272] Time 0.820 (0.776) Data 0.001 (0.006) Loss 1.6846 (1.6010) Prec@1 56.875 (56.943) Prec@5 85.000 (85.114) Epoch: [81][860/11272] Time 0.814 (0.776) Data 0.001 (0.006) Loss 1.5976 (1.6005) Prec@1 56.875 (56.973) Prec@5 87.500 (85.114) Epoch: [81][870/11272] Time 0.735 (0.776) Data 0.001 (0.006) Loss 1.3913 (1.6002) Prec@1 63.125 (56.986) Prec@5 87.500 (85.112) Epoch: [81][880/11272] Time 0.720 (0.776) Data 0.002 (0.006) Loss 1.5589 (1.6006) Prec@1 51.875 (56.979) Prec@5 85.625 (85.104) Epoch: [81][890/11272] Time 0.817 (0.777) Data 0.001 (0.006) Loss 1.5768 (1.6007) Prec@1 57.500 (56.985) Prec@5 83.125 (85.094) Epoch: [81][900/11272] Time 0.843 (0.777) Data 0.002 (0.006) Loss 1.7036 (1.5998) Prec@1 57.500 (57.007) Prec@5 83.750 (85.101) Epoch: [81][910/11272] Time 0.709 (0.776) Data 0.002 (0.005) Loss 1.8546 (1.6006) Prec@1 52.500 (57.005) Prec@5 80.625 (85.084) Epoch: [81][920/11272] Time 0.723 (0.776) Data 0.001 (0.005) Loss 1.8423 (1.6021) Prec@1 53.125 (56.969) Prec@5 79.375 (85.070) Epoch: [81][930/11272] Time 0.847 (0.776) Data 0.001 (0.005) Loss 1.5504 (1.6016) Prec@1 57.500 (56.970) Prec@5 88.125 (85.087) Epoch: [81][940/11272] Time 0.812 (0.776) Data 0.001 (0.005) Loss 1.7879 (1.6014) Prec@1 51.875 (56.964) Prec@5 76.250 (85.084) Epoch: [81][950/11272] Time 0.722 (0.776) Data 0.002 (0.005) Loss 1.6155 (1.6014) Prec@1 55.625 (56.964) Prec@5 85.625 (85.084) Epoch: [81][960/11272] Time 0.700 (0.776) Data 0.001 (0.005) Loss 1.7217 (1.6018) Prec@1 54.375 (56.952) Prec@5 83.125 (85.079) Epoch: [81][970/11272] Time 0.830 (0.776) Data 0.002 (0.005) Loss 1.5695 (1.6018) Prec@1 57.500 (56.935) Prec@5 83.125 (85.081) Epoch: [81][980/11272] Time 0.841 (0.776) Data 0.002 (0.005) Loss 1.7417 (1.6027) Prec@1 50.625 (56.917) Prec@5 82.500 (85.074) Epoch: [81][990/11272] Time 0.730 (0.776) Data 0.003 (0.005) Loss 1.8278 (1.6031) Prec@1 53.750 (56.918) Prec@5 81.875 (85.069) Epoch: [81][1000/11272] Time 0.882 (0.776) Data 0.001 (0.005) Loss 1.7055 (1.6042) Prec@1 55.625 (56.887) Prec@5 83.125 (85.049) Epoch: [81][1010/11272] Time 0.813 (0.776) Data 0.001 (0.005) Loss 1.8607 (1.6041) Prec@1 45.625 (56.878) Prec@5 81.250 (85.049) Epoch: [81][1020/11272] Time 0.745 (0.776) Data 0.001 (0.005) Loss 1.4255 (1.6038) Prec@1 58.750 (56.895) Prec@5 87.500 (85.062) Epoch: [81][1030/11272] Time 0.708 (0.776) Data 0.001 (0.005) Loss 1.4386 (1.6032) Prec@1 58.750 (56.907) Prec@5 87.500 (85.074) Epoch: [81][1040/11272] Time 0.789 (0.776) Data 0.001 (0.005) Loss 1.8777 (1.6038) Prec@1 51.250 (56.897) Prec@5 81.875 (85.066) Epoch: [81][1050/11272] Time 0.806 (0.776) Data 0.002 (0.005) Loss 1.7027 (1.6036) Prec@1 54.375 (56.895) Prec@5 82.500 (85.074) Epoch: [81][1060/11272] Time 0.711 (0.776) Data 0.001 (0.005) Loss 1.8009 (1.6034) Prec@1 51.875 (56.904) Prec@5 85.000 (85.085) Epoch: [81][1070/11272] Time 0.710 (0.776) Data 0.002 (0.005) Loss 1.5014 (1.6028) Prec@1 62.500 (56.923) Prec@5 87.500 (85.088) Epoch: [81][1080/11272] Time 0.825 (0.776) Data 0.001 (0.005) Loss 1.5050 (1.6034) Prec@1 59.375 (56.903) Prec@5 88.125 (85.075) Epoch: [81][1090/11272] Time 0.816 (0.776) Data 0.001 (0.005) Loss 1.6341 (1.6041) Prec@1 53.125 (56.894) Prec@5 82.500 (85.064) Epoch: [81][1100/11272] Time 0.703 (0.776) Data 0.001 (0.005) Loss 1.5307 (1.6043) Prec@1 52.500 (56.880) Prec@5 87.500 (85.064) Epoch: [81][1110/11272] Time 0.727 (0.776) Data 0.001 (0.005) Loss 1.7791 (1.6043) Prec@1 53.750 (56.885) Prec@5 81.250 (85.056) Epoch: [81][1120/11272] Time 0.812 (0.776) Data 0.001 (0.005) Loss 1.9286 (1.6045) Prec@1 53.125 (56.879) Prec@5 85.000 (85.056) Epoch: [81][1130/11272] Time 0.738 (0.776) Data 0.002 (0.005) Loss 1.8549 (1.6052) Prec@1 53.125 (56.853) Prec@5 80.625 (85.048) Epoch: [81][1140/11272] Time 0.706 (0.776) Data 0.001 (0.005) Loss 1.7722 (1.6055) Prec@1 53.750 (56.842) Prec@5 82.500 (85.044) Epoch: [81][1150/11272] Time 0.848 (0.776) Data 0.002 (0.005) Loss 1.7923 (1.6059) Prec@1 54.375 (56.833) Prec@5 83.125 (85.039) Epoch: [81][1160/11272] Time 0.797 (0.776) Data 0.001 (0.005) Loss 1.6161 (1.6057) Prec@1 54.375 (56.825) Prec@5 90.000 (85.052) Epoch: [81][1170/11272] Time 0.740 (0.776) Data 0.002 (0.005) Loss 1.5690 (1.6051) Prec@1 58.750 (56.848) Prec@5 86.875 (85.060) Epoch: [81][1180/11272] Time 0.721 (0.776) Data 0.001 (0.005) Loss 1.7026 (1.6063) Prec@1 51.250 (56.819) Prec@5 85.625 (85.048) Epoch: [81][1190/11272] Time 0.817 (0.776) Data 0.001 (0.005) Loss 1.5952 (1.6064) Prec@1 55.000 (56.821) Prec@5 84.375 (85.042) Epoch: [81][1200/11272] Time 0.830 (0.776) Data 0.002 (0.005) Loss 1.9292 (1.6068) Prec@1 51.250 (56.809) Prec@5 81.875 (85.043) Epoch: [81][1210/11272] Time 0.710 (0.776) Data 0.001 (0.005) Loss 1.7173 (1.6070) Prec@1 52.500 (56.800) Prec@5 81.250 (85.030) Epoch: [81][1220/11272] Time 0.715 (0.776) Data 0.002 (0.004) Loss 1.4816 (1.6071) Prec@1 59.375 (56.790) Prec@5 91.250 (85.038) Epoch: [81][1230/11272] Time 0.841 (0.776) Data 0.002 (0.004) Loss 1.7128 (1.6072) Prec@1 54.375 (56.790) Prec@5 81.875 (85.029) Epoch: [81][1240/11272] Time 0.814 (0.776) Data 0.001 (0.004) Loss 1.6370 (1.6066) Prec@1 54.375 (56.797) Prec@5 84.375 (85.039) Epoch: [81][1250/11272] Time 0.724 (0.776) Data 0.002 (0.004) Loss 1.6659 (1.6066) Prec@1 55.000 (56.794) Prec@5 84.375 (85.040) Epoch: [81][1260/11272] Time 0.818 (0.776) Data 0.001 (0.004) Loss 1.7684 (1.6066) Prec@1 56.250 (56.805) Prec@5 81.250 (85.037) Epoch: [81][1270/11272] Time 0.835 (0.776) Data 0.002 (0.004) Loss 1.8343 (1.6072) Prec@1 53.750 (56.788) Prec@5 80.000 (85.026) Epoch: [81][1280/11272] Time 0.749 (0.776) Data 0.001 (0.004) Loss 1.6591 (1.6071) Prec@1 53.125 (56.786) Prec@5 86.875 (85.032) Epoch: [81][1290/11272] Time 0.709 (0.776) Data 0.001 (0.004) Loss 1.4585 (1.6065) Prec@1 62.500 (56.812) Prec@5 85.000 (85.029) Epoch: [81][1300/11272] Time 0.887 (0.776) Data 0.002 (0.004) Loss 1.4810 (1.6066) Prec@1 60.625 (56.814) Prec@5 85.625 (85.033) Epoch: [81][1310/11272] Time 0.822 (0.776) Data 0.001 (0.004) Loss 1.5204 (1.6062) Prec@1 54.375 (56.803) Prec@5 86.875 (85.039) Epoch: [81][1320/11272] Time 0.713 (0.776) Data 0.001 (0.004) Loss 1.4409 (1.6064) Prec@1 61.250 (56.805) Prec@5 88.125 (85.036) Epoch: [81][1330/11272] Time 0.722 (0.776) Data 0.002 (0.004) Loss 1.6037 (1.6061) Prec@1 53.125 (56.806) Prec@5 83.750 (85.045) Epoch: [81][1340/11272] Time 0.837 (0.776) Data 0.002 (0.004) Loss 1.4559 (1.6059) Prec@1 58.750 (56.804) Prec@5 86.250 (85.036) Epoch: [81][1350/11272] Time 0.848 (0.776) Data 0.003 (0.004) Loss 1.4459 (1.6059) Prec@1 63.125 (56.809) Prec@5 88.750 (85.033) Epoch: [81][1360/11272] Time 0.771 (0.776) Data 0.002 (0.004) Loss 1.5000 (1.6060) Prec@1 61.250 (56.806) Prec@5 86.875 (85.032) Epoch: [81][1370/11272] Time 0.707 (0.776) Data 0.002 (0.004) Loss 1.5030 (1.6059) Prec@1 59.375 (56.809) Prec@5 86.250 (85.031) Epoch: [81][1380/11272] Time 0.817 (0.776) Data 0.001 (0.004) Loss 1.5063 (1.6053) Prec@1 61.250 (56.832) Prec@5 88.750 (85.046) Epoch: [81][1390/11272] Time 0.726 (0.776) Data 0.003 (0.004) Loss 1.6323 (1.6054) Prec@1 56.875 (56.833) Prec@5 86.250 (85.043) Epoch: [81][1400/11272] Time 0.707 (0.776) Data 0.001 (0.004) Loss 1.5664 (1.6053) Prec@1 55.000 (56.830) Prec@5 88.125 (85.048) Epoch: [81][1410/11272] Time 0.840 (0.776) Data 0.001 (0.004) Loss 1.4498 (1.6053) Prec@1 60.000 (56.834) Prec@5 91.250 (85.046) Epoch: [81][1420/11272] Time 0.835 (0.776) Data 0.002 (0.004) Loss 1.6685 (1.6053) Prec@1 53.125 (56.835) Prec@5 89.375 (85.052) Epoch: [81][1430/11272] Time 0.722 (0.776) Data 0.002 (0.004) Loss 1.6261 (1.6050) Prec@1 55.000 (56.841) Prec@5 83.750 (85.054) Epoch: [81][1440/11272] Time 0.712 (0.776) Data 0.001 (0.004) Loss 1.4883 (1.6055) Prec@1 62.500 (56.835) Prec@5 85.625 (85.050) Epoch: [81][1450/11272] Time 0.859 (0.776) Data 0.002 (0.004) Loss 1.7864 (1.6054) Prec@1 52.500 (56.843) Prec@5 81.250 (85.049) Epoch: [81][1460/11272] Time 0.815 (0.776) Data 0.001 (0.004) Loss 1.6393 (1.6059) Prec@1 56.875 (56.833) Prec@5 85.000 (85.042) Epoch: [81][1470/11272] Time 0.731 (0.775) Data 0.002 (0.004) Loss 1.6910 (1.6062) Prec@1 55.625 (56.824) Prec@5 82.500 (85.037) Epoch: [81][1480/11272] Time 0.729 (0.775) Data 0.001 (0.004) Loss 1.3765 (1.6063) Prec@1 59.375 (56.813) Prec@5 91.250 (85.036) Epoch: [81][1490/11272] Time 0.786 (0.775) Data 0.001 (0.004) Loss 1.6183 (1.6066) Prec@1 55.625 (56.818) Prec@5 83.125 (85.027) Epoch: [81][1500/11272] Time 0.813 (0.775) Data 0.001 (0.004) Loss 1.6433 (1.6072) Prec@1 52.500 (56.802) Prec@5 86.250 (85.022) Epoch: [81][1510/11272] Time 0.734 (0.775) Data 0.001 (0.004) Loss 1.5091 (1.6068) Prec@1 61.875 (56.807) Prec@5 84.375 (85.031) Epoch: [81][1520/11272] Time 0.833 (0.775) Data 0.002 (0.004) Loss 1.6480 (1.6063) Prec@1 52.500 (56.814) Prec@5 85.625 (85.042) Epoch: [81][1530/11272] Time 0.857 (0.776) Data 0.002 (0.004) Loss 1.5882 (1.6066) Prec@1 55.625 (56.807) Prec@5 85.625 (85.038) Epoch: [81][1540/11272] Time 0.735 (0.775) Data 0.001 (0.004) Loss 1.7023 (1.6069) Prec@1 53.125 (56.795) Prec@5 88.125 (85.039) Epoch: [81][1550/11272] Time 0.734 (0.775) Data 0.001 (0.004) Loss 1.8720 (1.6070) Prec@1 50.000 (56.791) Prec@5 81.250 (85.037) Epoch: [81][1560/11272] Time 0.852 (0.775) Data 0.001 (0.004) Loss 1.6721 (1.6069) Prec@1 50.625 (56.789) Prec@5 85.000 (85.033) Epoch: [81][1570/11272] Time 0.829 (0.775) Data 0.001 (0.004) Loss 1.6990 (1.6069) Prec@1 58.750 (56.785) Prec@5 85.625 (85.034) Epoch: [81][1580/11272] Time 0.711 (0.775) Data 0.001 (0.004) Loss 1.4248 (1.6071) Prec@1 66.250 (56.778) Prec@5 88.750 (85.030) Epoch: [81][1590/11272] Time 0.706 (0.775) Data 0.001 (0.004) Loss 1.5395 (1.6071) Prec@1 57.500 (56.775) Prec@5 85.625 (85.032) Epoch: [81][1600/11272] Time 0.828 (0.775) Data 0.002 (0.004) Loss 1.7306 (1.6074) Prec@1 53.125 (56.768) Prec@5 82.500 (85.028) Epoch: [81][1610/11272] Time 0.813 (0.775) Data 0.001 (0.004) Loss 1.6254 (1.6070) Prec@1 58.125 (56.776) Prec@5 81.875 (85.029) Epoch: [81][1620/11272] Time 0.733 (0.775) Data 0.002 (0.004) Loss 1.5571 (1.6072) Prec@1 57.500 (56.769) Prec@5 86.250 (85.024) Epoch: [81][1630/11272] Time 0.721 (0.775) Data 0.002 (0.004) Loss 1.6838 (1.6072) Prec@1 57.500 (56.772) Prec@5 84.375 (85.024) Epoch: [81][1640/11272] Time 0.822 (0.775) Data 0.001 (0.004) Loss 1.6143 (1.6074) Prec@1 58.125 (56.764) Prec@5 83.125 (85.021) Epoch: [81][1650/11272] Time 0.722 (0.775) Data 0.003 (0.004) Loss 1.4338 (1.6078) Prec@1 61.250 (56.755) Prec@5 88.125 (85.012) Epoch: [81][1660/11272] Time 0.707 (0.775) Data 0.002 (0.004) Loss 1.6648 (1.6078) Prec@1 53.750 (56.754) Prec@5 86.875 (85.013) Epoch: [81][1670/11272] Time 0.887 (0.775) Data 0.002 (0.004) Loss 1.6481 (1.6084) Prec@1 55.000 (56.738) Prec@5 82.500 (84.996) Epoch: [81][1680/11272] Time 0.865 (0.775) Data 0.002 (0.004) Loss 1.7838 (1.6087) Prec@1 50.000 (56.730) Prec@5 80.000 (84.991) Epoch: [81][1690/11272] Time 0.721 (0.775) Data 0.002 (0.004) Loss 1.8693 (1.6090) Prec@1 52.500 (56.727) Prec@5 80.000 (84.989) Epoch: [81][1700/11272] Time 0.750 (0.775) Data 0.001 (0.004) Loss 1.6520 (1.6092) Prec@1 56.250 (56.718) Prec@5 84.375 (84.985) Epoch: [81][1710/11272] Time 0.847 (0.775) Data 0.002 (0.004) Loss 1.8726 (1.6096) Prec@1 47.500 (56.712) Prec@5 81.250 (84.979) Epoch: [81][1720/11272] Time 0.855 (0.775) Data 0.002 (0.004) Loss 1.7439 (1.6096) Prec@1 56.250 (56.706) Prec@5 84.375 (84.979) Epoch: [81][1730/11272] Time 0.755 (0.775) Data 0.002 (0.004) Loss 1.5943 (1.6094) Prec@1 56.250 (56.711) Prec@5 83.750 (84.981) Epoch: [81][1740/11272] Time 0.786 (0.775) Data 0.002 (0.004) Loss 1.5589 (1.6093) Prec@1 52.500 (56.700) Prec@5 88.125 (84.986) Epoch: [81][1750/11272] Time 0.864 (0.775) Data 0.001 (0.004) Loss 1.6729 (1.6092) Prec@1 56.875 (56.695) Prec@5 83.125 (84.990) Epoch: [81][1760/11272] Time 0.878 (0.775) Data 0.002 (0.004) Loss 1.6455 (1.6091) Prec@1 55.000 (56.701) Prec@5 85.625 (84.993) Epoch: [81][1770/11272] Time 0.730 (0.775) Data 0.001 (0.004) Loss 1.7635 (1.6092) Prec@1 50.000 (56.693) Prec@5 80.625 (84.986) Epoch: [81][1780/11272] Time 0.829 (0.775) Data 0.001 (0.004) Loss 1.7985 (1.6094) Prec@1 50.625 (56.688) Prec@5 83.750 (84.981) Epoch: [81][1790/11272] Time 0.815 (0.775) Data 0.001 (0.004) Loss 1.6192 (1.6094) Prec@1 56.875 (56.687) Prec@5 82.500 (84.984) Epoch: [81][1800/11272] Time 0.764 (0.775) Data 0.002 (0.004) Loss 1.6394 (1.6095) Prec@1 58.125 (56.689) Prec@5 83.125 (84.976) Epoch: [81][1810/11272] Time 0.765 (0.775) Data 0.002 (0.004) Loss 1.8347 (1.6097) Prec@1 51.250 (56.687) Prec@5 78.750 (84.967) Epoch: [81][1820/11272] Time 0.820 (0.776) Data 0.001 (0.004) Loss 1.6640 (1.6099) Prec@1 57.500 (56.682) Prec@5 86.875 (84.962) Epoch: [81][1830/11272] Time 0.786 (0.776) Data 0.001 (0.003) Loss 1.5728 (1.6094) Prec@1 63.750 (56.694) Prec@5 87.500 (84.971) Epoch: [81][1840/11272] Time 0.724 (0.775) Data 0.002 (0.003) Loss 1.2890 (1.6094) Prec@1 69.375 (56.701) Prec@5 90.625 (84.971) Epoch: [81][1850/11272] Time 0.806 (0.775) Data 0.002 (0.003) Loss 1.6378 (1.6095) Prec@1 56.250 (56.697) Prec@5 81.250 (84.964) Epoch: [81][1860/11272] Time 0.844 (0.776) Data 0.002 (0.003) Loss 1.4531 (1.6095) Prec@1 60.000 (56.705) Prec@5 86.250 (84.966) Epoch: [81][1870/11272] Time 0.784 (0.776) Data 0.001 (0.003) Loss 1.6784 (1.6097) Prec@1 53.750 (56.701) Prec@5 83.750 (84.961) Epoch: [81][1880/11272] Time 0.704 (0.776) Data 0.002 (0.003) Loss 1.4401 (1.6095) Prec@1 62.500 (56.707) Prec@5 86.875 (84.965) Epoch: [81][1890/11272] Time 0.723 (0.775) Data 0.002 (0.003) Loss 1.5240 (1.6097) Prec@1 62.500 (56.706) Prec@5 83.125 (84.958) Epoch: [81][1900/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.6979 (1.6099) Prec@1 51.875 (56.707) Prec@5 81.875 (84.954) Epoch: [81][1910/11272] Time 0.808 (0.775) Data 0.001 (0.003) Loss 1.3884 (1.6102) Prec@1 61.875 (56.695) Prec@5 92.500 (84.953) Epoch: [81][1920/11272] Time 0.693 (0.775) Data 0.001 (0.003) Loss 1.3804 (1.6100) Prec@1 57.500 (56.699) Prec@5 90.625 (84.955) Epoch: [81][1930/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.7309 (1.6098) Prec@1 53.125 (56.704) Prec@5 83.125 (84.961) Epoch: [81][1940/11272] Time 0.853 (0.775) Data 0.002 (0.003) Loss 1.7709 (1.6099) Prec@1 53.125 (56.700) Prec@5 81.875 (84.962) Epoch: [81][1950/11272] Time 0.700 (0.775) Data 0.001 (0.003) Loss 1.7708 (1.6098) Prec@1 54.375 (56.700) Prec@5 80.625 (84.965) Epoch: [81][1960/11272] Time 0.742 (0.775) Data 0.003 (0.003) Loss 1.7145 (1.6096) Prec@1 57.500 (56.711) Prec@5 84.375 (84.969) Epoch: [81][1970/11272] Time 0.809 (0.775) Data 0.001 (0.003) Loss 1.4940 (1.6097) Prec@1 62.500 (56.711) Prec@5 87.500 (84.966) Epoch: [81][1980/11272] Time 0.776 (0.775) Data 0.001 (0.003) Loss 1.5590 (1.6098) Prec@1 62.500 (56.709) Prec@5 83.125 (84.962) Epoch: [81][1990/11272] Time 0.715 (0.775) Data 0.002 (0.003) Loss 1.6469 (1.6096) Prec@1 52.500 (56.714) Prec@5 83.750 (84.961) Epoch: [81][2000/11272] Time 0.725 (0.775) Data 0.002 (0.003) Loss 1.6732 (1.6097) Prec@1 45.625 (56.710) Prec@5 89.375 (84.960) Epoch: [81][2010/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.8969 (1.6100) Prec@1 46.875 (56.704) Prec@5 82.500 (84.952) Epoch: [81][2020/11272] Time 0.812 (0.775) Data 0.001 (0.003) Loss 1.6918 (1.6103) Prec@1 52.500 (56.696) Prec@5 80.000 (84.943) Epoch: [81][2030/11272] Time 0.715 (0.775) Data 0.002 (0.003) Loss 1.4456 (1.6103) Prec@1 60.625 (56.696) Prec@5 88.125 (84.942) Epoch: [81][2040/11272] Time 0.718 (0.775) Data 0.002 (0.003) Loss 1.5876 (1.6103) Prec@1 55.000 (56.688) Prec@5 86.875 (84.945) Epoch: [81][2050/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.6588 (1.6104) Prec@1 56.875 (56.683) Prec@5 83.750 (84.946) Epoch: [81][2060/11272] Time 0.716 (0.775) Data 0.001 (0.003) Loss 1.7131 (1.6102) Prec@1 53.750 (56.680) Prec@5 84.375 (84.950) Epoch: [81][2070/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.7571 (1.6101) Prec@1 55.625 (56.681) Prec@5 80.000 (84.954) Epoch: [81][2080/11272] Time 0.841 (0.775) Data 0.002 (0.003) Loss 1.6698 (1.6104) Prec@1 51.875 (56.668) Prec@5 83.750 (84.953) Epoch: [81][2090/11272] Time 0.825 (0.775) Data 0.002 (0.003) Loss 1.5097 (1.6104) Prec@1 55.625 (56.665) Prec@5 88.125 (84.956) Epoch: [81][2100/11272] Time 0.743 (0.775) Data 0.002 (0.003) Loss 1.4858 (1.6104) Prec@1 62.500 (56.668) Prec@5 86.875 (84.956) Epoch: [81][2110/11272] Time 0.723 (0.775) Data 0.001 (0.003) Loss 1.6505 (1.6108) Prec@1 54.375 (56.657) Prec@5 83.125 (84.950) Epoch: [81][2120/11272] Time 0.840 (0.775) Data 0.002 (0.003) Loss 1.4782 (1.6108) Prec@1 59.375 (56.655) Prec@5 88.125 (84.949) Epoch: [81][2130/11272] Time 0.867 (0.775) Data 0.001 (0.003) Loss 1.4775 (1.6108) Prec@1 60.625 (56.655) Prec@5 86.250 (84.949) Epoch: [81][2140/11272] Time 0.720 (0.775) Data 0.002 (0.003) Loss 1.7589 (1.6106) Prec@1 51.250 (56.658) Prec@5 83.750 (84.949) Epoch: [81][2150/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.8463 (1.6108) Prec@1 48.750 (56.644) Prec@5 81.250 (84.947) Epoch: [81][2160/11272] Time 0.802 (0.775) Data 0.002 (0.003) Loss 1.6968 (1.6107) Prec@1 52.500 (56.641) Prec@5 85.625 (84.949) Epoch: [81][2170/11272] Time 0.784 (0.775) Data 0.001 (0.003) Loss 1.6703 (1.6107) Prec@1 58.125 (56.642) Prec@5 86.250 (84.948) Epoch: [81][2180/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.7004 (1.6109) Prec@1 51.875 (56.637) Prec@5 82.500 (84.945) Epoch: [81][2190/11272] Time 0.877 (0.775) Data 0.002 (0.003) Loss 1.6033 (1.6109) Prec@1 57.500 (56.627) Prec@5 86.250 (84.943) Epoch: [81][2200/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.5338 (1.6108) Prec@1 63.125 (56.632) Prec@5 83.750 (84.943) Epoch: [81][2210/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.5173 (1.6110) Prec@1 53.125 (56.626) Prec@5 88.125 (84.942) Epoch: [81][2220/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.5636 (1.6110) Prec@1 55.625 (56.622) Prec@5 83.750 (84.938) Epoch: [81][2230/11272] Time 0.873 (0.775) Data 0.002 (0.003) Loss 1.8092 (1.6111) Prec@1 52.500 (56.622) Prec@5 83.750 (84.933) Epoch: [81][2240/11272] Time 0.833 (0.775) Data 0.002 (0.003) Loss 1.7101 (1.6113) Prec@1 52.500 (56.616) Prec@5 80.000 (84.928) Epoch: [81][2250/11272] Time 0.731 (0.775) Data 0.001 (0.003) Loss 1.6088 (1.6117) Prec@1 55.000 (56.603) Prec@5 81.250 (84.921) Epoch: [81][2260/11272] Time 0.688 (0.775) Data 0.001 (0.003) Loss 1.6741 (1.6117) Prec@1 57.500 (56.604) Prec@5 85.625 (84.917) Epoch: [81][2270/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.5263 (1.6113) Prec@1 56.250 (56.608) Prec@5 85.625 (84.923) Epoch: [81][2280/11272] Time 0.791 (0.775) Data 0.001 (0.003) Loss 1.5039 (1.6111) Prec@1 59.375 (56.611) Prec@5 86.250 (84.925) Epoch: [81][2290/11272] Time 0.699 (0.775) Data 0.002 (0.003) Loss 1.6171 (1.6113) Prec@1 55.000 (56.605) Prec@5 85.000 (84.924) Epoch: [81][2300/11272] Time 0.733 (0.775) Data 0.002 (0.003) Loss 1.6602 (1.6111) Prec@1 57.500 (56.604) Prec@5 81.250 (84.930) Epoch: [81][2310/11272] Time 0.842 (0.775) Data 0.001 (0.003) Loss 1.5771 (1.6112) Prec@1 62.500 (56.607) Prec@5 81.875 (84.934) Epoch: [81][2320/11272] Time 0.744 (0.775) Data 0.003 (0.003) Loss 1.5948 (1.6110) Prec@1 58.125 (56.613) Prec@5 86.875 (84.940) Epoch: [81][2330/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.6354 (1.6114) Prec@1 57.500 (56.601) Prec@5 85.000 (84.935) Epoch: [81][2340/11272] Time 0.821 (0.775) Data 0.002 (0.003) Loss 1.5142 (1.6115) Prec@1 58.125 (56.602) Prec@5 83.750 (84.931) Epoch: [81][2350/11272] Time 0.797 (0.775) Data 0.002 (0.003) Loss 1.4178 (1.6113) Prec@1 58.750 (56.606) Prec@5 89.375 (84.935) Epoch: [81][2360/11272] Time 0.740 (0.775) Data 0.003 (0.003) Loss 1.7785 (1.6115) Prec@1 51.875 (56.605) Prec@5 83.750 (84.932) Epoch: [81][2370/11272] Time 0.707 (0.775) Data 0.001 (0.003) Loss 1.5319 (1.6117) Prec@1 56.875 (56.595) Prec@5 86.250 (84.928) Epoch: [81][2380/11272] Time 0.798 (0.775) Data 0.001 (0.003) Loss 1.4113 (1.6116) Prec@1 62.500 (56.605) Prec@5 90.625 (84.933) Epoch: [81][2390/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.5617 (1.6119) Prec@1 59.375 (56.601) Prec@5 86.875 (84.930) Epoch: [81][2400/11272] Time 0.713 (0.775) Data 0.002 (0.003) Loss 1.5788 (1.6118) Prec@1 56.875 (56.606) Prec@5 88.750 (84.931) Epoch: [81][2410/11272] Time 0.702 (0.775) Data 0.001 (0.003) Loss 1.8286 (1.6115) Prec@1 54.375 (56.609) Prec@5 81.250 (84.935) Epoch: [81][2420/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.6048 (1.6116) Prec@1 55.625 (56.604) Prec@5 84.375 (84.934) Epoch: [81][2430/11272] Time 0.830 (0.775) Data 0.001 (0.003) Loss 1.4271 (1.6115) Prec@1 61.250 (56.604) Prec@5 85.000 (84.932) Epoch: [81][2440/11272] Time 0.728 (0.775) Data 0.001 (0.003) Loss 1.5876 (1.6115) Prec@1 56.250 (56.606) Prec@5 85.000 (84.931) Epoch: [81][2450/11272] Time 0.850 (0.775) Data 0.001 (0.003) Loss 1.9165 (1.6115) Prec@1 50.000 (56.605) Prec@5 80.000 (84.929) Epoch: [81][2460/11272] Time 0.905 (0.775) Data 0.002 (0.003) Loss 1.9132 (1.6117) Prec@1 50.625 (56.601) Prec@5 78.750 (84.922) Epoch: [81][2470/11272] Time 0.707 (0.775) Data 0.001 (0.003) Loss 1.6204 (1.6117) Prec@1 58.750 (56.604) Prec@5 86.250 (84.927) Epoch: [81][2480/11272] Time 0.707 (0.775) Data 0.001 (0.003) Loss 1.6071 (1.6117) Prec@1 58.125 (56.600) Prec@5 88.750 (84.930) Epoch: [81][2490/11272] Time 0.809 (0.775) Data 0.001 (0.003) Loss 1.4002 (1.6119) Prec@1 61.250 (56.594) Prec@5 89.375 (84.931) Epoch: [81][2500/11272] Time 0.860 (0.775) Data 0.001 (0.003) Loss 1.5008 (1.6120) Prec@1 59.375 (56.591) Prec@5 86.250 (84.931) Epoch: [81][2510/11272] Time 0.688 (0.775) Data 0.001 (0.003) Loss 1.5797 (1.6122) Prec@1 61.250 (56.589) Prec@5 84.375 (84.926) Epoch: [81][2520/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.6256 (1.6124) Prec@1 58.750 (56.578) Prec@5 83.125 (84.924) Epoch: [81][2530/11272] Time 0.937 (0.775) Data 0.002 (0.003) Loss 1.6592 (1.6124) Prec@1 50.625 (56.573) Prec@5 83.750 (84.926) Epoch: [81][2540/11272] Time 0.799 (0.775) Data 0.002 (0.003) Loss 1.4724 (1.6121) Prec@1 60.000 (56.576) Prec@5 87.500 (84.932) Epoch: [81][2550/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.4685 (1.6120) Prec@1 56.250 (56.579) Prec@5 90.000 (84.937) Epoch: [81][2560/11272] Time 0.723 (0.775) Data 0.001 (0.003) Loss 1.5878 (1.6124) Prec@1 60.000 (56.578) Prec@5 86.875 (84.928) Epoch: [81][2570/11272] Time 0.863 (0.775) Data 0.001 (0.003) Loss 1.4837 (1.6124) Prec@1 57.500 (56.576) Prec@5 89.375 (84.930) Epoch: [81][2580/11272] Time 0.744 (0.775) Data 0.003 (0.003) Loss 1.8196 (1.6126) Prec@1 54.375 (56.572) Prec@5 85.000 (84.926) Epoch: [81][2590/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.7779 (1.6128) Prec@1 53.125 (56.566) Prec@5 85.625 (84.921) Epoch: [81][2600/11272] Time 0.803 (0.775) Data 0.002 (0.003) Loss 1.3901 (1.6127) Prec@1 61.875 (56.565) Prec@5 88.125 (84.921) Epoch: [81][2610/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.2182 (1.6122) Prec@1 64.375 (56.576) Prec@5 90.625 (84.933) Epoch: [81][2620/11272] Time 0.736 (0.775) Data 0.002 (0.003) Loss 1.7927 (1.6122) Prec@1 54.375 (56.580) Prec@5 82.500 (84.934) Epoch: [81][2630/11272] Time 0.715 (0.775) Data 0.002 (0.003) Loss 1.6226 (1.6122) Prec@1 50.625 (56.576) Prec@5 86.250 (84.936) Epoch: [81][2640/11272] Time 0.809 (0.775) Data 0.001 (0.003) Loss 1.6440 (1.6122) Prec@1 55.625 (56.577) Prec@5 83.125 (84.934) Epoch: [81][2650/11272] Time 0.854 (0.775) Data 0.001 (0.003) Loss 1.5926 (1.6122) Prec@1 56.875 (56.574) Prec@5 84.375 (84.933) Epoch: [81][2660/11272] Time 0.738 (0.775) Data 0.001 (0.003) Loss 1.7273 (1.6123) Prec@1 53.750 (56.570) Prec@5 83.750 (84.926) Epoch: [81][2670/11272] Time 0.731 (0.775) Data 0.002 (0.003) Loss 1.5396 (1.6120) Prec@1 61.250 (56.574) Prec@5 86.250 (84.930) Epoch: [81][2680/11272] Time 0.803 (0.775) Data 0.001 (0.003) Loss 1.7389 (1.6120) Prec@1 53.750 (56.575) Prec@5 86.875 (84.933) Epoch: [81][2690/11272] Time 0.803 (0.775) Data 0.001 (0.003) Loss 1.6921 (1.6121) Prec@1 52.500 (56.570) Prec@5 83.125 (84.933) Epoch: [81][2700/11272] Time 0.724 (0.775) Data 0.001 (0.003) Loss 1.6167 (1.6120) Prec@1 62.500 (56.573) Prec@5 83.750 (84.936) Epoch: [81][2710/11272] Time 0.819 (0.775) Data 0.002 (0.003) Loss 1.7418 (1.6120) Prec@1 55.625 (56.572) Prec@5 83.125 (84.936) Epoch: [81][2720/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.7535 (1.6120) Prec@1 49.375 (56.570) Prec@5 82.500 (84.939) Epoch: [81][2730/11272] Time 0.710 (0.775) Data 0.001 (0.003) Loss 1.4289 (1.6119) Prec@1 63.750 (56.572) Prec@5 86.875 (84.939) Epoch: [81][2740/11272] Time 0.740 (0.775) Data 0.001 (0.003) Loss 1.7504 (1.6120) Prec@1 57.500 (56.571) Prec@5 78.125 (84.938) Epoch: [81][2750/11272] Time 0.837 (0.775) Data 0.002 (0.003) Loss 1.4727 (1.6118) Prec@1 56.875 (56.581) Prec@5 85.000 (84.940) Epoch: [81][2760/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.5896 (1.6118) Prec@1 55.000 (56.583) Prec@5 85.625 (84.938) Epoch: [81][2770/11272] Time 0.721 (0.775) Data 0.002 (0.003) Loss 1.7477 (1.6118) Prec@1 57.500 (56.588) Prec@5 81.875 (84.934) Epoch: [81][2780/11272] Time 0.732 (0.775) Data 0.001 (0.003) Loss 1.6512 (1.6120) Prec@1 51.875 (56.582) Prec@5 82.500 (84.930) Epoch: [81][2790/11272] Time 0.808 (0.775) Data 0.001 (0.003) Loss 1.7227 (1.6120) Prec@1 50.000 (56.580) Prec@5 83.750 (84.930) Epoch: [81][2800/11272] Time 0.811 (0.775) Data 0.001 (0.003) Loss 1.6690 (1.6118) Prec@1 53.750 (56.580) Prec@5 83.750 (84.936) Epoch: [81][2810/11272] Time 0.728 (0.775) Data 0.002 (0.003) Loss 1.7810 (1.6120) Prec@1 49.375 (56.572) Prec@5 81.250 (84.934) Epoch: [81][2820/11272] Time 0.705 (0.775) Data 0.001 (0.003) Loss 1.4413 (1.6120) Prec@1 62.500 (56.571) Prec@5 86.250 (84.936) Epoch: [81][2830/11272] Time 0.811 (0.775) Data 0.002 (0.003) Loss 1.6349 (1.6118) Prec@1 53.750 (56.573) Prec@5 87.500 (84.938) Epoch: [81][2840/11272] Time 0.786 (0.775) Data 0.001 (0.003) Loss 1.7597 (1.6118) Prec@1 60.625 (56.572) Prec@5 81.250 (84.940) Epoch: [81][2850/11272] Time 0.732 (0.775) Data 0.001 (0.003) Loss 1.7751 (1.6121) Prec@1 53.125 (56.566) Prec@5 84.375 (84.934) Epoch: [81][2860/11272] Time 0.875 (0.775) Data 0.001 (0.003) Loss 1.6546 (1.6120) Prec@1 51.875 (56.569) Prec@5 85.625 (84.938) Epoch: [81][2870/11272] Time 0.828 (0.775) Data 0.002 (0.003) Loss 1.6562 (1.6122) Prec@1 57.500 (56.569) Prec@5 84.375 (84.933) Epoch: [81][2880/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 1.3993 (1.6123) Prec@1 61.250 (56.561) Prec@5 87.500 (84.937) Epoch: [81][2890/11272] Time 0.740 (0.775) Data 0.001 (0.003) Loss 1.5212 (1.6121) Prec@1 59.375 (56.563) Prec@5 85.000 (84.938) Epoch: [81][2900/11272] Time 0.814 (0.775) Data 0.002 (0.003) Loss 1.7980 (1.6121) Prec@1 51.250 (56.566) Prec@5 85.000 (84.938) Epoch: [81][2910/11272] Time 0.810 (0.775) Data 0.002 (0.003) Loss 1.6555 (1.6122) Prec@1 55.625 (56.565) Prec@5 83.125 (84.935) Epoch: [81][2920/11272] Time 0.703 (0.775) Data 0.001 (0.003) Loss 1.4418 (1.6121) Prec@1 61.250 (56.569) Prec@5 85.625 (84.939) Epoch: [81][2930/11272] Time 0.742 (0.775) Data 0.001 (0.003) Loss 1.4986 (1.6120) Prec@1 55.000 (56.573) Prec@5 84.375 (84.937) Epoch: [81][2940/11272] Time 0.876 (0.775) Data 0.002 (0.003) Loss 1.7326 (1.6123) Prec@1 56.875 (56.572) Prec@5 81.250 (84.930) Epoch: [81][2950/11272] Time 0.857 (0.775) Data 0.002 (0.003) Loss 1.6936 (1.6123) Prec@1 54.375 (56.569) Prec@5 81.875 (84.928) Epoch: [81][2960/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.8697 (1.6123) Prec@1 51.250 (56.572) Prec@5 80.000 (84.928) Epoch: [81][2970/11272] Time 0.728 (0.775) Data 0.002 (0.003) Loss 1.7398 (1.6122) Prec@1 57.500 (56.578) Prec@5 83.125 (84.933) Epoch: [81][2980/11272] Time 0.791 (0.775) Data 0.001 (0.003) Loss 1.5510 (1.6121) Prec@1 58.125 (56.572) Prec@5 88.125 (84.938) Epoch: [81][2990/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.4848 (1.6120) Prec@1 54.375 (56.572) Prec@5 91.250 (84.941) Epoch: [81][3000/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.5028 (1.6119) Prec@1 58.125 (56.572) Prec@5 88.125 (84.941) Epoch: [81][3010/11272] Time 0.876 (0.775) Data 0.001 (0.003) Loss 1.5442 (1.6119) Prec@1 59.375 (56.574) Prec@5 86.875 (84.938) Epoch: [81][3020/11272] Time 0.783 (0.775) Data 0.002 (0.003) Loss 1.6299 (1.6119) Prec@1 56.250 (56.575) Prec@5 81.875 (84.936) Epoch: [81][3030/11272] Time 0.716 (0.775) Data 0.002 (0.003) Loss 1.6711 (1.6120) Prec@1 57.500 (56.576) Prec@5 83.125 (84.933) Epoch: [81][3040/11272] Time 0.710 (0.775) Data 0.002 (0.003) Loss 1.7284 (1.6122) Prec@1 54.375 (56.572) Prec@5 83.750 (84.932) Epoch: [81][3050/11272] Time 0.861 (0.775) Data 0.002 (0.003) Loss 1.3585 (1.6123) Prec@1 62.500 (56.565) Prec@5 91.250 (84.933) Epoch: [81][3060/11272] Time 0.809 (0.775) Data 0.002 (0.003) Loss 1.4728 (1.6121) Prec@1 59.375 (56.567) Prec@5 86.875 (84.935) Epoch: [81][3070/11272] Time 0.725 (0.775) Data 0.001 (0.003) Loss 1.7646 (1.6121) Prec@1 53.750 (56.565) Prec@5 81.250 (84.934) Epoch: [81][3080/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.7024 (1.6120) Prec@1 55.000 (56.569) Prec@5 83.750 (84.937) Epoch: [81][3090/11272] Time 0.829 (0.775) Data 0.001 (0.003) Loss 1.7403 (1.6121) Prec@1 53.750 (56.562) Prec@5 83.750 (84.935) Epoch: [81][3100/11272] Time 0.809 (0.775) Data 0.001 (0.003) Loss 1.5153 (1.6120) Prec@1 56.875 (56.568) Prec@5 82.500 (84.935) Epoch: [81][3110/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.7208 (1.6123) Prec@1 53.125 (56.560) Prec@5 81.250 (84.929) Epoch: [81][3120/11272] Time 0.814 (0.775) Data 0.002 (0.003) Loss 1.8096 (1.6124) Prec@1 51.250 (56.555) Prec@5 76.250 (84.924) Epoch: [81][3130/11272] Time 0.812 (0.775) Data 0.001 (0.003) Loss 1.4936 (1.6125) Prec@1 60.625 (56.557) Prec@5 86.875 (84.925) Epoch: [81][3140/11272] Time 0.716 (0.775) Data 0.001 (0.003) Loss 1.7173 (1.6127) Prec@1 51.875 (56.548) Prec@5 82.500 (84.921) Epoch: [81][3150/11272] Time 0.701 (0.775) Data 0.001 (0.003) Loss 1.7210 (1.6127) Prec@1 55.625 (56.548) Prec@5 81.875 (84.919) Epoch: [81][3160/11272] Time 0.825 (0.775) Data 0.001 (0.003) Loss 1.4857 (1.6128) Prec@1 61.250 (56.546) Prec@5 84.375 (84.915) Epoch: [81][3170/11272] Time 0.831 (0.775) Data 0.001 (0.003) Loss 1.6296 (1.6127) Prec@1 55.000 (56.548) Prec@5 85.000 (84.918) Epoch: [81][3180/11272] Time 0.716 (0.775) Data 0.002 (0.003) Loss 1.4810 (1.6126) Prec@1 60.625 (56.548) Prec@5 87.500 (84.919) Epoch: [81][3190/11272] Time 0.743 (0.775) Data 0.001 (0.003) Loss 1.3691 (1.6129) Prec@1 62.500 (56.544) Prec@5 89.375 (84.919) Epoch: [81][3200/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 1.4027 (1.6128) Prec@1 59.375 (56.543) Prec@5 88.125 (84.919) Epoch: [81][3210/11272] Time 0.826 (0.775) Data 0.001 (0.003) Loss 1.5402 (1.6126) Prec@1 55.000 (56.546) Prec@5 84.375 (84.924) Epoch: [81][3220/11272] Time 0.747 (0.775) Data 0.001 (0.003) Loss 1.4126 (1.6127) Prec@1 60.000 (56.541) Prec@5 86.250 (84.921) Epoch: [81][3230/11272] Time 0.717 (0.775) Data 0.002 (0.003) Loss 1.5119 (1.6125) Prec@1 57.500 (56.545) Prec@5 85.000 (84.922) Epoch: [81][3240/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.8036 (1.6126) Prec@1 54.375 (56.546) Prec@5 80.625 (84.918) Epoch: [81][3250/11272] Time 0.731 (0.775) Data 0.003 (0.003) Loss 1.7403 (1.6127) Prec@1 54.375 (56.544) Prec@5 80.625 (84.916) Epoch: [81][3260/11272] Time 0.745 (0.775) Data 0.001 (0.003) Loss 1.7066 (1.6127) Prec@1 54.375 (56.544) Prec@5 81.875 (84.916) Epoch: [81][3270/11272] Time 0.833 (0.775) Data 0.001 (0.003) Loss 1.7300 (1.6127) Prec@1 56.250 (56.542) Prec@5 81.875 (84.914) Epoch: [81][3280/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.5151 (1.6128) Prec@1 58.125 (56.538) Prec@5 86.250 (84.914) Epoch: [81][3290/11272] Time 0.747 (0.775) Data 0.001 (0.003) Loss 1.7851 (1.6130) Prec@1 50.625 (56.535) Prec@5 84.375 (84.909) Epoch: [81][3300/11272] Time 0.698 (0.775) Data 0.001 (0.003) Loss 1.4240 (1.6131) Prec@1 60.625 (56.530) Prec@5 86.250 (84.904) Epoch: [81][3310/11272] Time 0.808 (0.775) Data 0.002 (0.003) Loss 1.6901 (1.6129) Prec@1 52.500 (56.534) Prec@5 86.250 (84.908) Epoch: [81][3320/11272] Time 0.843 (0.775) Data 0.001 (0.003) Loss 1.4662 (1.6129) Prec@1 62.500 (56.533) Prec@5 86.875 (84.910) Epoch: [81][3330/11272] Time 0.730 (0.775) Data 0.002 (0.003) Loss 1.6445 (1.6130) Prec@1 53.125 (56.532) Prec@5 83.125 (84.906) Epoch: [81][3340/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.6766 (1.6131) Prec@1 56.875 (56.527) Prec@5 84.375 (84.902) Epoch: [81][3350/11272] Time 0.831 (0.775) Data 0.002 (0.003) Loss 1.5744 (1.6132) Prec@1 56.250 (56.527) Prec@5 86.875 (84.897) Epoch: [81][3360/11272] Time 0.815 (0.775) Data 0.001 (0.003) Loss 1.5932 (1.6132) Prec@1 55.625 (56.527) Prec@5 83.750 (84.897) Epoch: [81][3370/11272] Time 0.744 (0.775) Data 0.002 (0.003) Loss 1.5159 (1.6132) Prec@1 61.875 (56.528) Prec@5 86.250 (84.899) Epoch: [81][3380/11272] Time 0.819 (0.775) Data 0.002 (0.003) Loss 1.6166 (1.6132) Prec@1 55.625 (56.527) Prec@5 85.625 (84.899) Epoch: [81][3390/11272] Time 0.838 (0.775) Data 0.002 (0.003) Loss 1.3998 (1.6132) Prec@1 59.375 (56.527) Prec@5 87.500 (84.898) Epoch: [81][3400/11272] Time 0.738 (0.775) Data 0.001 (0.003) Loss 1.7432 (1.6132) Prec@1 55.625 (56.530) Prec@5 80.625 (84.897) Epoch: [81][3410/11272] Time 0.733 (0.775) Data 0.002 (0.003) Loss 1.7745 (1.6133) Prec@1 51.875 (56.529) Prec@5 80.000 (84.894) Epoch: [81][3420/11272] Time 0.857 (0.775) Data 0.002 (0.003) Loss 1.3968 (1.6132) Prec@1 64.375 (56.534) Prec@5 88.750 (84.898) Epoch: [81][3430/11272] Time 0.804 (0.775) Data 0.001 (0.003) Loss 1.8066 (1.6132) Prec@1 54.375 (56.540) Prec@5 81.875 (84.897) Epoch: [81][3440/11272] Time 0.720 (0.775) Data 0.002 (0.003) Loss 1.6217 (1.6133) Prec@1 54.375 (56.538) Prec@5 87.500 (84.898) Epoch: [81][3450/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 1.4985 (1.6131) Prec@1 65.000 (56.543) Prec@5 86.875 (84.903) Epoch: [81][3460/11272] Time 0.827 (0.775) Data 0.002 (0.003) Loss 1.7771 (1.6131) Prec@1 51.875 (56.546) Prec@5 81.875 (84.902) Epoch: [81][3470/11272] Time 0.844 (0.775) Data 0.001 (0.003) Loss 1.8563 (1.6130) Prec@1 53.125 (56.548) Prec@5 81.250 (84.905) Epoch: [81][3480/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.6351 (1.6130) Prec@1 56.875 (56.552) Prec@5 84.375 (84.905) Epoch: [81][3490/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.7122 (1.6131) Prec@1 55.625 (56.554) Prec@5 81.875 (84.901) Epoch: [81][3500/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.3308 (1.6131) Prec@1 65.000 (56.553) Prec@5 87.500 (84.901) Epoch: [81][3510/11272] Time 0.746 (0.775) Data 0.004 (0.003) Loss 1.6728 (1.6131) Prec@1 55.625 (56.551) Prec@5 81.875 (84.901) Epoch: [81][3520/11272] Time 0.710 (0.775) Data 0.001 (0.003) Loss 1.6630 (1.6132) Prec@1 56.875 (56.549) Prec@5 85.000 (84.897) Epoch: [81][3530/11272] Time 0.846 (0.775) Data 0.001 (0.003) Loss 1.6542 (1.6131) Prec@1 58.750 (56.550) Prec@5 83.125 (84.900) Epoch: [81][3540/11272] Time 0.815 (0.775) Data 0.001 (0.003) Loss 1.7082 (1.6131) Prec@1 56.250 (56.553) Prec@5 82.500 (84.900) Epoch: [81][3550/11272] Time 0.737 (0.775) Data 0.002 (0.003) Loss 1.3900 (1.6130) Prec@1 59.375 (56.554) Prec@5 87.500 (84.902) Epoch: [81][3560/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.3586 (1.6129) Prec@1 61.250 (56.556) Prec@5 88.750 (84.902) Epoch: [81][3570/11272] Time 0.798 (0.775) Data 0.001 (0.003) Loss 1.7007 (1.6129) Prec@1 53.125 (56.551) Prec@5 81.875 (84.905) Epoch: [81][3580/11272] Time 0.799 (0.775) Data 0.002 (0.003) Loss 1.6411 (1.6130) Prec@1 54.375 (56.549) Prec@5 84.375 (84.901) Epoch: [81][3590/11272] Time 0.710 (0.775) Data 0.001 (0.003) Loss 1.5764 (1.6129) Prec@1 58.125 (56.554) Prec@5 87.500 (84.904) Epoch: [81][3600/11272] Time 0.727 (0.775) Data 0.002 (0.003) Loss 1.5385 (1.6128) Prec@1 56.875 (56.553) Prec@5 85.625 (84.906) Epoch: [81][3610/11272] Time 0.846 (0.775) Data 0.001 (0.003) Loss 1.5492 (1.6128) Prec@1 58.125 (56.551) Prec@5 84.375 (84.904) Epoch: [81][3620/11272] Time 0.817 (0.775) Data 0.001 (0.003) Loss 1.6146 (1.6128) Prec@1 59.375 (56.553) Prec@5 86.875 (84.906) Epoch: [81][3630/11272] Time 0.735 (0.775) Data 0.001 (0.003) Loss 1.8294 (1.6130) Prec@1 47.500 (56.548) Prec@5 80.000 (84.900) Epoch: [81][3640/11272] Time 0.817 (0.775) Data 0.001 (0.003) Loss 1.6314 (1.6131) Prec@1 56.250 (56.549) Prec@5 85.625 (84.899) Epoch: [81][3650/11272] Time 0.798 (0.775) Data 0.002 (0.003) Loss 1.3970 (1.6131) Prec@1 63.125 (56.548) Prec@5 88.750 (84.897) Epoch: [81][3660/11272] Time 0.721 (0.775) Data 0.001 (0.003) Loss 1.8890 (1.6133) Prec@1 48.125 (56.536) Prec@5 83.125 (84.896) Epoch: [81][3670/11272] Time 0.702 (0.775) Data 0.001 (0.003) Loss 1.9177 (1.6135) Prec@1 45.000 (56.529) Prec@5 80.000 (84.892) Epoch: [81][3680/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.5561 (1.6135) Prec@1 59.375 (56.529) Prec@5 86.250 (84.892) Epoch: [81][3690/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6511 (1.6135) Prec@1 55.625 (56.532) Prec@5 85.000 (84.891) Epoch: [81][3700/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.4413 (1.6136) Prec@1 60.625 (56.531) Prec@5 86.875 (84.886) Epoch: [81][3710/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.7094 (1.6136) Prec@1 59.375 (56.530) Prec@5 85.000 (84.886) Epoch: [81][3720/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.8289 (1.6137) Prec@1 51.250 (56.530) Prec@5 83.125 (84.886) Epoch: [81][3730/11272] Time 0.833 (0.775) Data 0.002 (0.002) Loss 1.7108 (1.6139) Prec@1 53.125 (56.528) Prec@5 86.250 (84.883) Epoch: [81][3740/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.5770 (1.6138) Prec@1 55.625 (56.529) Prec@5 85.625 (84.885) Epoch: [81][3750/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6539 (1.6140) Prec@1 59.375 (56.521) Prec@5 81.875 (84.880) Epoch: [81][3760/11272] Time 0.811 (0.775) Data 0.002 (0.002) Loss 1.5356 (1.6140) Prec@1 60.625 (56.519) Prec@5 87.500 (84.884) Epoch: [81][3770/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.7109 (1.6139) Prec@1 56.875 (56.521) Prec@5 80.000 (84.885) Epoch: [81][3780/11272] Time 0.756 (0.775) Data 0.002 (0.002) Loss 1.6472 (1.6139) Prec@1 57.500 (56.517) Prec@5 85.000 (84.884) Epoch: [81][3790/11272] Time 0.856 (0.775) Data 0.001 (0.002) Loss 1.8273 (1.6140) Prec@1 53.125 (56.515) Prec@5 84.375 (84.886) Epoch: [81][3800/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.4380 (1.6140) Prec@1 61.875 (56.514) Prec@5 87.500 (84.887) Epoch: [81][3810/11272] Time 0.709 (0.775) Data 0.002 (0.002) Loss 1.7084 (1.6139) Prec@1 52.500 (56.515) Prec@5 85.625 (84.887) Epoch: [81][3820/11272] Time 0.772 (0.775) Data 0.002 (0.002) Loss 1.4761 (1.6138) Prec@1 60.000 (56.520) Prec@5 91.250 (84.890) Epoch: [81][3830/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.2234 (1.6138) Prec@1 61.875 (56.520) Prec@5 94.375 (84.891) Epoch: [81][3840/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7752 (1.6139) Prec@1 50.625 (56.518) Prec@5 82.500 (84.890) Epoch: [81][3850/11272] Time 0.745 (0.775) Data 0.002 (0.002) Loss 1.4871 (1.6137) Prec@1 54.375 (56.522) Prec@5 88.750 (84.895) Epoch: [81][3860/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.4113 (1.6136) Prec@1 60.625 (56.521) Prec@5 89.375 (84.896) Epoch: [81][3870/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.5787 (1.6136) Prec@1 56.875 (56.523) Prec@5 85.000 (84.897) Epoch: [81][3880/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.6145 (1.6138) Prec@1 62.500 (56.526) Prec@5 86.875 (84.896) Epoch: [81][3890/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6559 (1.6137) Prec@1 52.500 (56.527) Prec@5 82.500 (84.897) Epoch: [81][3900/11272] Time 0.715 (0.775) Data 0.002 (0.002) Loss 1.6782 (1.6139) Prec@1 53.125 (56.521) Prec@5 79.375 (84.894) Epoch: [81][3910/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.5293 (1.6139) Prec@1 57.500 (56.521) Prec@5 86.250 (84.896) Epoch: [81][3920/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.4828 (1.6139) Prec@1 55.625 (56.520) Prec@5 85.000 (84.895) Epoch: [81][3930/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.5041 (1.6139) Prec@1 58.750 (56.521) Prec@5 88.750 (84.893) Epoch: [81][3940/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.4315 (1.6142) Prec@1 61.875 (56.518) Prec@5 90.625 (84.889) Epoch: [81][3950/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.4126 (1.6140) Prec@1 61.875 (56.522) Prec@5 90.625 (84.893) Epoch: [81][3960/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7100 (1.6143) Prec@1 51.875 (56.515) Prec@5 82.500 (84.888) Epoch: [81][3970/11272] Time 0.717 (0.775) Data 0.002 (0.002) Loss 1.6295 (1.6142) Prec@1 51.250 (56.513) Prec@5 89.375 (84.890) Epoch: [81][3980/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.8531 (1.6143) Prec@1 50.000 (56.512) Prec@5 84.375 (84.889) Epoch: [81][3990/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.5675 (1.6143) Prec@1 55.625 (56.509) Prec@5 83.125 (84.887) Epoch: [81][4000/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.6499 (1.6144) Prec@1 58.750 (56.505) Prec@5 83.125 (84.887) Epoch: [81][4010/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6435 (1.6145) Prec@1 55.625 (56.503) Prec@5 84.375 (84.886) Epoch: [81][4020/11272] Time 0.845 (0.775) Data 0.002 (0.002) Loss 1.6615 (1.6147) Prec@1 55.625 (56.501) Prec@5 82.500 (84.884) Epoch: [81][4030/11272] Time 0.847 (0.775) Data 0.001 (0.002) Loss 1.9031 (1.6148) Prec@1 54.375 (56.501) Prec@5 80.625 (84.881) Epoch: [81][4040/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.7047 (1.6148) Prec@1 53.750 (56.503) Prec@5 85.000 (84.882) Epoch: [81][4050/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7489 (1.6148) Prec@1 48.125 (56.502) Prec@5 83.125 (84.882) Epoch: [81][4060/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.3575 (1.6148) Prec@1 58.125 (56.499) Prec@5 88.750 (84.883) Epoch: [81][4070/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.3275 (1.6147) Prec@1 61.875 (56.501) Prec@5 88.750 (84.886) Epoch: [81][4080/11272] Time 0.691 (0.775) Data 0.001 (0.002) Loss 1.3949 (1.6148) Prec@1 63.750 (56.501) Prec@5 88.125 (84.887) Epoch: [81][4090/11272] Time 0.869 (0.775) Data 0.001 (0.002) Loss 1.5326 (1.6149) Prec@1 56.875 (56.496) Prec@5 88.750 (84.886) Epoch: [81][4100/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.5662 (1.6149) Prec@1 58.750 (56.498) Prec@5 83.125 (84.885) Epoch: [81][4110/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5038 (1.6150) Prec@1 58.750 (56.494) Prec@5 88.125 (84.885) Epoch: [81][4120/11272] Time 0.744 (0.775) Data 0.002 (0.002) Loss 2.0519 (1.6151) Prec@1 48.125 (56.494) Prec@5 75.000 (84.881) Epoch: [81][4130/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.8891 (1.6151) Prec@1 48.125 (56.488) Prec@5 78.750 (84.880) Epoch: [81][4140/11272] Time 0.798 (0.775) Data 0.001 (0.002) Loss 1.7176 (1.6153) Prec@1 54.375 (56.482) Prec@5 79.375 (84.879) Epoch: [81][4150/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.4931 (1.6154) Prec@1 52.500 (56.481) Prec@5 85.625 (84.877) Epoch: [81][4160/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.4929 (1.6154) Prec@1 60.625 (56.481) Prec@5 87.500 (84.876) Epoch: [81][4170/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.6536 (1.6155) Prec@1 56.875 (56.482) Prec@5 83.750 (84.877) Epoch: [81][4180/11272] Time 0.734 (0.775) Data 0.003 (0.002) Loss 1.5377 (1.6154) Prec@1 61.250 (56.488) Prec@5 84.375 (84.879) Epoch: [81][4190/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.5707 (1.6153) Prec@1 56.875 (56.490) Prec@5 85.000 (84.880) Epoch: [81][4200/11272] Time 0.856 (0.775) Data 0.001 (0.002) Loss 1.6419 (1.6152) Prec@1 52.500 (56.489) Prec@5 85.000 (84.883) Epoch: [81][4210/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.7274 (1.6152) Prec@1 53.125 (56.491) Prec@5 80.625 (84.884) Epoch: [81][4220/11272] Time 0.771 (0.775) Data 0.001 (0.002) Loss 1.7271 (1.6152) Prec@1 56.875 (56.488) Prec@5 81.250 (84.882) Epoch: [81][4230/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.5447 (1.6154) Prec@1 58.750 (56.485) Prec@5 87.500 (84.878) Epoch: [81][4240/11272] Time 0.816 (0.775) Data 0.002 (0.002) Loss 1.6294 (1.6156) Prec@1 53.750 (56.482) Prec@5 86.250 (84.874) Epoch: [81][4250/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.4565 (1.6157) Prec@1 61.875 (56.478) Prec@5 90.000 (84.873) Epoch: [81][4260/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.4938 (1.6158) Prec@1 56.875 (56.481) Prec@5 85.625 (84.872) Epoch: [81][4270/11272] Time 0.701 (0.775) Data 0.002 (0.002) Loss 1.6926 (1.6157) Prec@1 53.125 (56.482) Prec@5 85.000 (84.874) Epoch: [81][4280/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6899 (1.6156) Prec@1 50.000 (56.484) Prec@5 85.625 (84.874) Epoch: [81][4290/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.5383 (1.6157) Prec@1 57.500 (56.484) Prec@5 85.000 (84.873) Epoch: [81][4300/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6333 (1.6158) Prec@1 54.375 (56.480) Prec@5 86.250 (84.872) Epoch: [81][4310/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.9010 (1.6159) Prec@1 53.125 (56.480) Prec@5 76.875 (84.870) Epoch: [81][4320/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.5995 (1.6161) Prec@1 58.125 (56.478) Prec@5 84.375 (84.870) Epoch: [81][4330/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.4467 (1.6161) Prec@1 60.000 (56.478) Prec@5 88.125 (84.868) Epoch: [81][4340/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5609 (1.6160) Prec@1 59.375 (56.479) Prec@5 84.375 (84.870) Epoch: [81][4350/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.4997 (1.6159) Prec@1 62.500 (56.484) Prec@5 85.000 (84.873) Epoch: [81][4360/11272] Time 0.784 (0.775) Data 0.001 (0.002) Loss 1.9847 (1.6160) Prec@1 53.125 (56.480) Prec@5 78.750 (84.872) Epoch: [81][4370/11272] Time 0.739 (0.775) Data 0.002 (0.002) Loss 1.4919 (1.6160) Prec@1 60.625 (56.477) Prec@5 86.875 (84.872) Epoch: [81][4380/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6580 (1.6160) Prec@1 51.875 (56.477) Prec@5 83.750 (84.872) Epoch: [81][4390/11272] Time 0.874 (0.775) Data 0.001 (0.002) Loss 1.4618 (1.6158) Prec@1 59.375 (56.480) Prec@5 86.875 (84.875) Epoch: [81][4400/11272] Time 0.783 (0.775) Data 0.001 (0.002) Loss 1.6905 (1.6158) Prec@1 50.000 (56.479) Prec@5 87.500 (84.876) Epoch: [81][4410/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6102 (1.6159) Prec@1 55.000 (56.477) Prec@5 84.375 (84.876) Epoch: [81][4420/11272] Time 0.715 (0.775) Data 0.002 (0.002) Loss 1.7407 (1.6159) Prec@1 53.750 (56.479) Prec@5 82.500 (84.875) Epoch: [81][4430/11272] Time 0.815 (0.775) Data 0.002 (0.002) Loss 2.0305 (1.6160) Prec@1 43.125 (56.475) Prec@5 77.500 (84.870) Epoch: [81][4440/11272] Time 0.731 (0.775) Data 0.003 (0.002) Loss 1.4563 (1.6160) Prec@1 62.500 (56.477) Prec@5 86.250 (84.870) Epoch: [81][4450/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.7866 (1.6161) Prec@1 51.875 (56.479) Prec@5 80.625 (84.868) Epoch: [81][4460/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.6774 (1.6160) Prec@1 53.125 (56.482) Prec@5 84.375 (84.870) Epoch: [81][4470/11272] Time 0.833 (0.775) Data 0.002 (0.002) Loss 1.5041 (1.6160) Prec@1 59.375 (56.482) Prec@5 88.125 (84.871) Epoch: [81][4480/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.7143 (1.6159) Prec@1 57.500 (56.483) Prec@5 83.750 (84.869) Epoch: [81][4490/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.6781 (1.6158) Prec@1 55.000 (56.484) Prec@5 84.375 (84.871) Epoch: [81][4500/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.7803 (1.6159) Prec@1 55.000 (56.485) Prec@5 80.625 (84.868) Epoch: [81][4510/11272] Time 0.818 (0.775) Data 0.002 (0.002) Loss 1.5073 (1.6157) Prec@1 60.000 (56.486) Prec@5 86.250 (84.872) Epoch: [81][4520/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.4792 (1.6158) Prec@1 60.625 (56.485) Prec@5 86.875 (84.870) Epoch: [81][4530/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.7626 (1.6160) Prec@1 56.250 (56.480) Prec@5 82.500 (84.867) Epoch: [81][4540/11272] Time 0.836 (0.775) Data 0.002 (0.002) Loss 1.6209 (1.6162) Prec@1 53.750 (56.472) Prec@5 86.250 (84.865) Epoch: [81][4550/11272] Time 0.821 (0.775) Data 0.002 (0.002) Loss 1.5402 (1.6161) Prec@1 57.500 (56.472) Prec@5 88.125 (84.867) Epoch: [81][4560/11272] Time 0.767 (0.775) Data 0.001 (0.002) Loss 1.5354 (1.6161) Prec@1 60.625 (56.472) Prec@5 86.875 (84.869) Epoch: [81][4570/11272] Time 0.804 (0.775) Data 0.002 (0.002) Loss 1.5560 (1.6160) Prec@1 57.500 (56.470) Prec@5 86.875 (84.873) Epoch: [81][4580/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.7091 (1.6160) Prec@1 59.375 (56.470) Prec@5 81.250 (84.873) Epoch: [81][4590/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.5938 (1.6160) Prec@1 51.250 (56.469) Prec@5 83.750 (84.871) Epoch: [81][4600/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.6976 (1.6162) Prec@1 56.875 (56.463) Prec@5 82.500 (84.865) Epoch: [81][4610/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.7848 (1.6163) Prec@1 50.000 (56.460) Prec@5 80.000 (84.864) Epoch: [81][4620/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.4443 (1.6163) Prec@1 60.000 (56.464) Prec@5 85.625 (84.864) Epoch: [81][4630/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6250 (1.6163) Prec@1 53.125 (56.460) Prec@5 86.250 (84.863) Epoch: [81][4640/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.7223 (1.6165) Prec@1 55.625 (56.454) Prec@5 81.250 (84.860) Epoch: [81][4650/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.7235 (1.6166) Prec@1 55.000 (56.452) Prec@5 81.875 (84.858) Epoch: [81][4660/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.6167 (1.6167) Prec@1 55.000 (56.451) Prec@5 88.125 (84.858) Epoch: [81][4670/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.7210 (1.6166) Prec@1 52.500 (56.450) Prec@5 84.375 (84.861) Epoch: [81][4680/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.7314 (1.6166) Prec@1 56.250 (56.451) Prec@5 83.750 (84.860) Epoch: [81][4690/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.5919 (1.6167) Prec@1 56.875 (56.449) Prec@5 84.375 (84.859) Epoch: [81][4700/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.5939 (1.6167) Prec@1 55.000 (56.450) Prec@5 84.375 (84.861) Epoch: [81][4710/11272] Time 0.740 (0.775) Data 0.002 (0.002) Loss 1.7546 (1.6167) Prec@1 55.000 (56.450) Prec@5 85.625 (84.861) Epoch: [81][4720/11272] Time 0.884 (0.775) Data 0.001 (0.002) Loss 1.7291 (1.6167) Prec@1 50.000 (56.448) Prec@5 83.750 (84.860) Epoch: [81][4730/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7585 (1.6169) Prec@1 51.250 (56.448) Prec@5 83.125 (84.856) Epoch: [81][4740/11272] Time 0.715 (0.775) Data 0.002 (0.002) Loss 1.5417 (1.6170) Prec@1 56.875 (56.442) Prec@5 90.000 (84.855) Epoch: [81][4750/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.5073 (1.6170) Prec@1 58.750 (56.443) Prec@5 84.375 (84.855) Epoch: [81][4760/11272] Time 0.864 (0.775) Data 0.002 (0.002) Loss 1.6967 (1.6171) Prec@1 51.875 (56.441) Prec@5 80.625 (84.852) Epoch: [81][4770/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.6730 (1.6173) Prec@1 54.375 (56.435) Prec@5 85.625 (84.850) Epoch: [81][4780/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.4607 (1.6172) Prec@1 58.750 (56.433) Prec@5 89.375 (84.851) Epoch: [81][4790/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.3754 (1.6171) Prec@1 61.875 (56.433) Prec@5 88.750 (84.852) Epoch: [81][4800/11272] Time 0.857 (0.775) Data 0.001 (0.002) Loss 1.5981 (1.6172) Prec@1 54.375 (56.432) Prec@5 85.000 (84.852) Epoch: [81][4810/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.8070 (1.6172) Prec@1 45.625 (56.429) Prec@5 85.000 (84.853) Epoch: [81][4820/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.4928 (1.6172) Prec@1 58.750 (56.432) Prec@5 86.875 (84.852) Epoch: [81][4830/11272] Time 0.709 (0.775) Data 0.002 (0.002) Loss 1.4397 (1.6170) Prec@1 56.250 (56.432) Prec@5 86.250 (84.857) Epoch: [81][4840/11272] Time 0.857 (0.775) Data 0.002 (0.002) Loss 1.8202 (1.6172) Prec@1 53.125 (56.429) Prec@5 82.500 (84.853) Epoch: [81][4850/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.4562 (1.6172) Prec@1 61.250 (56.431) Prec@5 86.250 (84.853) Epoch: [81][4860/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.6499 (1.6173) Prec@1 55.000 (56.430) Prec@5 83.125 (84.850) Epoch: [81][4870/11272] Time 0.817 (0.775) Data 0.002 (0.002) Loss 1.6670 (1.6174) Prec@1 50.625 (56.427) Prec@5 84.375 (84.850) Epoch: [81][4880/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.7976 (1.6175) Prec@1 49.375 (56.425) Prec@5 85.000 (84.850) Epoch: [81][4890/11272] Time 0.737 (0.775) Data 0.002 (0.002) Loss 1.7755 (1.6175) Prec@1 55.000 (56.424) Prec@5 80.625 (84.852) Epoch: [81][4900/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.5944 (1.6175) Prec@1 62.500 (56.423) Prec@5 85.000 (84.852) Epoch: [81][4910/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.5774 (1.6176) Prec@1 58.125 (56.419) Prec@5 85.625 (84.848) Epoch: [81][4920/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.6041 (1.6176) Prec@1 61.875 (56.418) Prec@5 86.875 (84.850) Epoch: [81][4930/11272] Time 0.749 (0.775) Data 0.002 (0.002) Loss 1.8028 (1.6177) Prec@1 51.875 (56.415) Prec@5 81.250 (84.846) Epoch: [81][4940/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.5851 (1.6176) Prec@1 55.000 (56.413) Prec@5 87.500 (84.850) Epoch: [81][4950/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5656 (1.6176) Prec@1 58.750 (56.415) Prec@5 89.375 (84.852) Epoch: [81][4960/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.6508 (1.6175) Prec@1 57.500 (56.420) Prec@5 85.000 (84.856) Epoch: [81][4970/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7440 (1.6175) Prec@1 55.625 (56.421) Prec@5 81.875 (84.856) Epoch: [81][4980/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.5357 (1.6174) Prec@1 61.875 (56.424) Prec@5 87.500 (84.857) Epoch: [81][4990/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.5895 (1.6174) Prec@1 57.500 (56.424) Prec@5 84.375 (84.856) Epoch: [81][5000/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.7358 (1.6173) Prec@1 51.875 (56.425) Prec@5 81.250 (84.857) Epoch: [81][5010/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5941 (1.6172) Prec@1 56.875 (56.427) Prec@5 86.250 (84.860) Epoch: [81][5020/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.4658 (1.6171) Prec@1 63.125 (56.429) Prec@5 87.500 (84.862) Epoch: [81][5030/11272] Time 0.807 (0.775) Data 0.002 (0.002) Loss 1.7522 (1.6171) Prec@1 55.625 (56.427) Prec@5 78.750 (84.863) Epoch: [81][5040/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6134 (1.6171) Prec@1 53.750 (56.427) Prec@5 88.125 (84.864) Epoch: [81][5050/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5802 (1.6172) Prec@1 54.375 (56.424) Prec@5 88.125 (84.862) Epoch: [81][5060/11272] Time 0.852 (0.775) Data 0.001 (0.002) Loss 1.7559 (1.6173) Prec@1 56.250 (56.424) Prec@5 78.125 (84.860) Epoch: [81][5070/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.3645 (1.6172) Prec@1 61.875 (56.425) Prec@5 88.125 (84.859) Epoch: [81][5080/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.7058 (1.6173) Prec@1 50.000 (56.422) Prec@5 83.125 (84.857) Epoch: [81][5090/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.7503 (1.6172) Prec@1 51.250 (56.422) Prec@5 82.500 (84.860) Epoch: [81][5100/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.7875 (1.6172) Prec@1 55.000 (56.423) Prec@5 81.250 (84.862) Epoch: [81][5110/11272] Time 0.747 (0.775) Data 0.003 (0.002) Loss 1.5656 (1.6172) Prec@1 60.000 (56.424) Prec@5 84.375 (84.860) Epoch: [81][5120/11272] Time 0.698 (0.775) Data 0.001 (0.002) Loss 1.7170 (1.6173) Prec@1 53.750 (56.421) Prec@5 84.375 (84.855) Epoch: [81][5130/11272] Time 0.865 (0.775) Data 0.002 (0.002) Loss 1.5871 (1.6173) Prec@1 57.500 (56.421) Prec@5 82.500 (84.854) Epoch: [81][5140/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.4399 (1.6172) Prec@1 60.000 (56.424) Prec@5 88.750 (84.855) Epoch: [81][5150/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.4559 (1.6172) Prec@1 58.750 (56.424) Prec@5 90.000 (84.855) Epoch: [81][5160/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.4796 (1.6172) Prec@1 61.875 (56.424) Prec@5 90.000 (84.857) Epoch: [81][5170/11272] Time 0.835 (0.775) Data 0.002 (0.002) Loss 1.4671 (1.6173) Prec@1 60.000 (56.423) Prec@5 85.000 (84.854) Epoch: [81][5180/11272] Time 0.777 (0.775) Data 0.001 (0.002) Loss 1.5844 (1.6173) Prec@1 55.625 (56.422) Prec@5 86.875 (84.854) Epoch: [81][5190/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.6330 (1.6173) Prec@1 53.750 (56.419) Prec@5 86.875 (84.853) Epoch: [81][5200/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5270 (1.6174) Prec@1 61.250 (56.418) Prec@5 85.625 (84.853) Epoch: [81][5210/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.8145 (1.6175) Prec@1 53.750 (56.416) Prec@5 82.500 (84.852) Epoch: [81][5220/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.7557 (1.6174) Prec@1 54.375 (56.419) Prec@5 80.000 (84.853) Epoch: [81][5230/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.6933 (1.6173) Prec@1 56.875 (56.423) Prec@5 83.750 (84.852) Epoch: [81][5240/11272] Time 0.788 (0.775) Data 0.001 (0.002) Loss 1.6252 (1.6172) Prec@1 59.375 (56.426) Prec@5 85.625 (84.852) Epoch: [81][5250/11272] Time 0.863 (0.775) Data 0.001 (0.002) Loss 1.6321 (1.6172) Prec@1 57.500 (56.426) Prec@5 81.875 (84.854) Epoch: [81][5260/11272] Time 0.756 (0.775) Data 0.001 (0.002) Loss 1.5704 (1.6171) Prec@1 58.125 (56.428) Prec@5 82.500 (84.856) Epoch: [81][5270/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.7318 (1.6171) Prec@1 54.375 (56.428) Prec@5 84.375 (84.856) Epoch: [81][5280/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5024 (1.6171) Prec@1 60.625 (56.428) Prec@5 86.875 (84.856) Epoch: [81][5290/11272] Time 0.840 (0.775) Data 0.001 (0.002) Loss 1.3996 (1.6170) Prec@1 60.625 (56.429) Prec@5 88.750 (84.859) Epoch: [81][5300/11272] Time 0.745 (0.775) Data 0.002 (0.002) Loss 1.7095 (1.6169) Prec@1 50.625 (56.431) Prec@5 83.750 (84.863) Epoch: [81][5310/11272] Time 0.742 (0.775) Data 0.002 (0.002) Loss 1.6380 (1.6168) Prec@1 58.125 (56.432) Prec@5 83.750 (84.864) Epoch: [81][5320/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.5871 (1.6168) Prec@1 54.375 (56.431) Prec@5 88.750 (84.865) Epoch: [81][5330/11272] Time 0.851 (0.775) Data 0.002 (0.002) Loss 1.5341 (1.6170) Prec@1 56.250 (56.423) Prec@5 83.750 (84.863) Epoch: [81][5340/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.5200 (1.6169) Prec@1 56.250 (56.422) Prec@5 89.375 (84.864) Epoch: [81][5350/11272] Time 0.754 (0.775) Data 0.001 (0.002) Loss 1.6008 (1.6171) Prec@1 53.750 (56.417) Prec@5 83.750 (84.861) Epoch: [81][5360/11272] Time 0.796 (0.775) Data 0.002 (0.002) Loss 1.8210 (1.6170) Prec@1 55.625 (56.419) Prec@5 79.375 (84.861) Epoch: [81][5370/11272] Time 0.739 (0.775) Data 0.003 (0.002) Loss 1.7990 (1.6172) Prec@1 51.250 (56.415) Prec@5 80.000 (84.859) Epoch: [81][5380/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.7666 (1.6171) Prec@1 53.750 (56.416) Prec@5 84.375 (84.859) Epoch: [81][5390/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7531 (1.6171) Prec@1 48.750 (56.418) Prec@5 83.750 (84.859) Epoch: [81][5400/11272] Time 0.890 (0.775) Data 0.002 (0.002) Loss 1.8305 (1.6172) Prec@1 45.000 (56.416) Prec@5 83.750 (84.856) Epoch: [81][5410/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.6525 (1.6172) Prec@1 54.375 (56.417) Prec@5 81.875 (84.856) Epoch: [81][5420/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.6466 (1.6172) Prec@1 56.250 (56.416) Prec@5 82.500 (84.856) Epoch: [81][5430/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.5882 (1.6172) Prec@1 56.250 (56.415) Prec@5 87.500 (84.858) Epoch: [81][5440/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.5612 (1.6172) Prec@1 52.500 (56.413) Prec@5 87.500 (84.859) Epoch: [81][5450/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.5875 (1.6171) Prec@1 55.625 (56.415) Prec@5 84.375 (84.859) Epoch: [81][5460/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.7377 (1.6171) Prec@1 55.625 (56.413) Prec@5 80.625 (84.859) Epoch: [81][5470/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.5132 (1.6171) Prec@1 61.875 (56.412) Prec@5 85.000 (84.859) Epoch: [81][5480/11272] Time 0.778 (0.774) Data 0.001 (0.002) Loss 1.5617 (1.6171) Prec@1 55.625 (56.414) Prec@5 85.000 (84.859) Epoch: [81][5490/11272] Time 0.743 (0.774) Data 0.001 (0.002) Loss 1.5702 (1.6170) Prec@1 58.125 (56.415) Prec@5 89.375 (84.862) Epoch: [81][5500/11272] Time 0.774 (0.774) Data 0.002 (0.002) Loss 1.7448 (1.6170) Prec@1 50.625 (56.416) Prec@5 83.125 (84.862) Epoch: [81][5510/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.5869 (1.6170) Prec@1 56.250 (56.417) Prec@5 86.875 (84.861) Epoch: [81][5520/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.3269 (1.6169) Prec@1 68.125 (56.420) Prec@5 88.125 (84.863) Epoch: [81][5530/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5816 (1.6167) Prec@1 56.250 (56.424) Prec@5 86.875 (84.867) Epoch: [81][5540/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.6274 (1.6166) Prec@1 54.375 (56.426) Prec@5 86.875 (84.869) Epoch: [81][5550/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.7974 (1.6167) Prec@1 53.125 (56.426) Prec@5 85.000 (84.867) Epoch: [81][5560/11272] Time 0.760 (0.774) Data 0.002 (0.002) Loss 1.7823 (1.6167) Prec@1 55.000 (56.426) Prec@5 80.000 (84.866) Epoch: [81][5570/11272] Time 0.718 (0.774) Data 0.002 (0.002) Loss 1.5973 (1.6167) Prec@1 56.250 (56.425) Prec@5 83.125 (84.866) Epoch: [81][5580/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.6881 (1.6168) Prec@1 51.250 (56.419) Prec@5 81.875 (84.864) Epoch: [81][5590/11272] Time 0.804 (0.774) Data 0.002 (0.002) Loss 1.4850 (1.6170) Prec@1 63.125 (56.417) Prec@5 88.125 (84.862) Epoch: [81][5600/11272] Time 0.717 (0.774) Data 0.002 (0.002) Loss 1.7476 (1.6169) Prec@1 56.250 (56.419) Prec@5 83.750 (84.865) Epoch: [81][5610/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.6244 (1.6168) Prec@1 56.875 (56.420) Prec@5 86.250 (84.865) Epoch: [81][5620/11272] Time 0.808 (0.774) Data 0.002 (0.002) Loss 1.5838 (1.6168) Prec@1 60.000 (56.419) Prec@5 85.625 (84.865) Epoch: [81][5630/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.6854 (1.6169) Prec@1 53.125 (56.416) Prec@5 84.375 (84.863) Epoch: [81][5640/11272] Time 0.735 (0.774) Data 0.002 (0.002) Loss 2.0489 (1.6170) Prec@1 51.875 (56.413) Prec@5 76.875 (84.861) Epoch: [81][5650/11272] Time 0.867 (0.774) Data 0.001 (0.002) Loss 1.6731 (1.6170) Prec@1 60.000 (56.413) Prec@5 78.125 (84.859) Epoch: [81][5660/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.8780 (1.6170) Prec@1 51.875 (56.415) Prec@5 77.500 (84.858) Epoch: [81][5670/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7670 (1.6170) Prec@1 55.625 (56.417) Prec@5 82.500 (84.859) Epoch: [81][5680/11272] Time 0.739 (0.774) Data 0.001 (0.002) Loss 1.6620 (1.6170) Prec@1 55.625 (56.419) Prec@5 82.500 (84.858) Epoch: [81][5690/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8940 (1.6171) Prec@1 56.250 (56.416) Prec@5 76.875 (84.858) Epoch: [81][5700/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.9269 (1.6172) Prec@1 49.375 (56.414) Prec@5 77.500 (84.858) Epoch: [81][5710/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.6769 (1.6171) Prec@1 54.375 (56.413) Prec@5 81.875 (84.858) Epoch: [81][5720/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7228 (1.6173) Prec@1 54.375 (56.409) Prec@5 82.500 (84.856) Epoch: [81][5730/11272] Time 0.821 (0.774) Data 0.002 (0.002) Loss 1.6937 (1.6174) Prec@1 50.000 (56.403) Prec@5 83.750 (84.855) Epoch: [81][5740/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 1.5947 (1.6174) Prec@1 53.125 (56.403) Prec@5 85.625 (84.855) Epoch: [81][5750/11272] Time 0.784 (0.774) Data 0.002 (0.002) Loss 1.5908 (1.6175) Prec@1 60.000 (56.399) Prec@5 83.750 (84.852) Epoch: [81][5760/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.7850 (1.6176) Prec@1 48.750 (56.397) Prec@5 85.625 (84.851) Epoch: [81][5770/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6477 (1.6176) Prec@1 51.875 (56.395) Prec@5 83.750 (84.851) Epoch: [81][5780/11272] Time 0.720 (0.774) Data 0.002 (0.002) Loss 1.6742 (1.6177) Prec@1 54.375 (56.392) Prec@5 85.000 (84.850) Epoch: [81][5790/11272] Time 0.724 (0.774) Data 0.002 (0.002) Loss 1.4394 (1.6176) Prec@1 60.000 (56.395) Prec@5 86.875 (84.849) Epoch: [81][5800/11272] Time 0.840 (0.774) Data 0.001 (0.002) Loss 1.6786 (1.6176) Prec@1 56.250 (56.394) Prec@5 81.250 (84.849) Epoch: [81][5810/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6692 (1.6176) Prec@1 53.125 (56.394) Prec@5 85.000 (84.850) Epoch: [81][5820/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.4776 (1.6176) Prec@1 56.250 (56.392) Prec@5 85.625 (84.848) Epoch: [81][5830/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 2.1040 (1.6177) Prec@1 44.375 (56.390) Prec@5 76.875 (84.847) Epoch: [81][5840/11272] Time 0.869 (0.775) Data 0.002 (0.002) Loss 1.4952 (1.6177) Prec@1 60.625 (56.390) Prec@5 90.000 (84.848) Epoch: [81][5850/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.5940 (1.6177) Prec@1 56.875 (56.391) Prec@5 88.125 (84.848) Epoch: [81][5860/11272] Time 0.736 (0.774) Data 0.001 (0.002) Loss 1.7922 (1.6178) Prec@1 52.500 (56.389) Prec@5 83.750 (84.848) Epoch: [81][5870/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.6935 (1.6177) Prec@1 57.500 (56.389) Prec@5 84.375 (84.849) Epoch: [81][5880/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.4389 (1.6178) Prec@1 60.625 (56.389) Prec@5 90.000 (84.848) Epoch: [81][5890/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.6254 (1.6178) Prec@1 58.125 (56.389) Prec@5 85.625 (84.847) Epoch: [81][5900/11272] Time 0.748 (0.775) Data 0.002 (0.002) Loss 1.6807 (1.6178) Prec@1 51.875 (56.389) Prec@5 83.750 (84.846) Epoch: [81][5910/11272] Time 0.889 (0.775) Data 0.001 (0.002) Loss 1.6199 (1.6179) Prec@1 53.750 (56.387) Prec@5 83.125 (84.844) Epoch: [81][5920/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.7461 (1.6180) Prec@1 47.500 (56.383) Prec@5 85.000 (84.842) Epoch: [81][5930/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.6642 (1.6180) Prec@1 59.375 (56.383) Prec@5 85.625 (84.843) Epoch: [81][5940/11272] Time 0.743 (0.774) Data 0.002 (0.002) Loss 1.7155 (1.6180) Prec@1 54.375 (56.384) Prec@5 83.750 (84.845) Epoch: [81][5950/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.6524 (1.6181) Prec@1 55.625 (56.385) Prec@5 81.875 (84.844) Epoch: [81][5960/11272] Time 0.852 (0.774) Data 0.002 (0.002) Loss 1.5601 (1.6181) Prec@1 56.250 (56.383) Prec@5 84.375 (84.843) Epoch: [81][5970/11272] Time 0.748 (0.774) Data 0.001 (0.002) Loss 1.6579 (1.6182) Prec@1 58.125 (56.384) Prec@5 84.375 (84.843) Epoch: [81][5980/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.5217 (1.6182) Prec@1 60.625 (56.384) Prec@5 81.875 (84.843) Epoch: [81][5990/11272] Time 0.794 (0.774) Data 0.002 (0.002) Loss 1.7162 (1.6182) Prec@1 53.125 (56.382) Prec@5 80.625 (84.844) Epoch: [81][6000/11272] Time 0.774 (0.774) Data 0.001 (0.002) Loss 1.5213 (1.6181) Prec@1 58.750 (56.382) Prec@5 85.000 (84.845) Epoch: [81][6010/11272] Time 0.714 (0.774) Data 0.002 (0.002) Loss 1.7251 (1.6182) Prec@1 55.625 (56.382) Prec@5 81.875 (84.842) Epoch: [81][6020/11272] Time 0.705 (0.774) Data 0.002 (0.002) Loss 1.5760 (1.6182) Prec@1 51.875 (56.382) Prec@5 89.375 (84.844) Epoch: [81][6030/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.7612 (1.6183) Prec@1 50.000 (56.383) Prec@5 83.750 (84.840) Epoch: [81][6040/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.6964 (1.6184) Prec@1 53.125 (56.381) Prec@5 84.375 (84.839) Epoch: [81][6050/11272] Time 0.746 (0.774) Data 0.002 (0.002) Loss 1.5131 (1.6184) Prec@1 57.500 (56.381) Prec@5 85.625 (84.839) Epoch: [81][6060/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.5015 (1.6185) Prec@1 57.500 (56.378) Prec@5 83.125 (84.839) Epoch: [81][6070/11272] Time 0.803 (0.775) Data 0.002 (0.002) Loss 1.3630 (1.6184) Prec@1 61.875 (56.380) Prec@5 88.750 (84.840) Epoch: [81][6080/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.4544 (1.6184) Prec@1 62.500 (56.381) Prec@5 87.500 (84.840) Epoch: [81][6090/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.7024 (1.6185) Prec@1 55.625 (56.377) Prec@5 85.625 (84.838) Epoch: [81][6100/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.5796 (1.6185) Prec@1 55.000 (56.375) Prec@5 85.625 (84.838) Epoch: [81][6110/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.8896 (1.6186) Prec@1 50.000 (56.374) Prec@5 84.375 (84.836) Epoch: [81][6120/11272] Time 0.734 (0.774) Data 0.002 (0.002) Loss 1.7039 (1.6187) Prec@1 55.625 (56.373) Prec@5 82.500 (84.835) Epoch: [81][6130/11272] Time 0.771 (0.774) Data 0.002 (0.002) Loss 1.5741 (1.6187) Prec@1 57.500 (56.373) Prec@5 85.000 (84.836) Epoch: [81][6140/11272] Time 0.810 (0.775) Data 0.002 (0.002) Loss 1.7439 (1.6186) Prec@1 53.750 (56.375) Prec@5 83.125 (84.836) Epoch: [81][6150/11272] Time 0.817 (0.775) Data 0.002 (0.002) Loss 1.4521 (1.6186) Prec@1 60.625 (56.375) Prec@5 86.875 (84.839) Epoch: [81][6160/11272] Time 0.754 (0.775) Data 0.001 (0.002) Loss 1.6510 (1.6185) Prec@1 58.125 (56.378) Prec@5 84.375 (84.841) Epoch: [81][6170/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.5105 (1.6184) Prec@1 59.375 (56.378) Prec@5 88.750 (84.841) Epoch: [81][6180/11272] Time 0.836 (0.775) Data 0.002 (0.002) Loss 1.8519 (1.6185) Prec@1 48.125 (56.377) Prec@5 81.250 (84.840) Epoch: [81][6190/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.5995 (1.6185) Prec@1 56.250 (56.378) Prec@5 84.375 (84.840) Epoch: [81][6200/11272] Time 0.744 (0.775) Data 0.002 (0.002) Loss 1.9172 (1.6185) Prec@1 49.375 (56.376) Prec@5 79.375 (84.840) Epoch: [81][6210/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.5350 (1.6185) Prec@1 53.750 (56.376) Prec@5 86.250 (84.839) Epoch: [81][6220/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.5811 (1.6185) Prec@1 56.250 (56.374) Prec@5 88.125 (84.839) Epoch: [81][6230/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6547 (1.6187) Prec@1 54.375 (56.373) Prec@5 88.750 (84.837) Epoch: [81][6240/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.5138 (1.6187) Prec@1 55.625 (56.375) Prec@5 86.250 (84.838) Epoch: [81][6250/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.7692 (1.6186) Prec@1 56.875 (56.377) Prec@5 81.875 (84.839) Epoch: [81][6260/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.5744 (1.6186) Prec@1 54.375 (56.377) Prec@5 86.875 (84.839) Epoch: [81][6270/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.8400 (1.6187) Prec@1 50.625 (56.373) Prec@5 79.375 (84.837) Epoch: [81][6280/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.7231 (1.6187) Prec@1 50.625 (56.373) Prec@5 81.875 (84.836) Epoch: [81][6290/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.6636 (1.6188) Prec@1 59.375 (56.372) Prec@5 86.875 (84.834) Epoch: [81][6300/11272] Time 0.717 (0.775) Data 0.003 (0.002) Loss 1.7720 (1.6188) Prec@1 46.875 (56.371) Prec@5 83.125 (84.834) Epoch: [81][6310/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.3553 (1.6187) Prec@1 61.875 (56.373) Prec@5 91.250 (84.835) Epoch: [81][6320/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.6949 (1.6186) Prec@1 56.875 (56.373) Prec@5 83.750 (84.836) Epoch: [81][6330/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.7338 (1.6188) Prec@1 54.375 (56.369) Prec@5 83.750 (84.833) Epoch: [81][6340/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.6752 (1.6188) Prec@1 59.375 (56.369) Prec@5 82.500 (84.832) Epoch: [81][6350/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6032 (1.6189) Prec@1 55.625 (56.368) Prec@5 85.000 (84.832) Epoch: [81][6360/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.7642 (1.6189) Prec@1 51.250 (56.368) Prec@5 83.125 (84.831) Epoch: [81][6370/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.4792 (1.6189) Prec@1 57.500 (56.370) Prec@5 86.250 (84.832) Epoch: [81][6380/11272] Time 0.745 (0.775) Data 0.001 (0.002) Loss 1.6631 (1.6188) Prec@1 55.000 (56.369) Prec@5 86.250 (84.833) Epoch: [81][6390/11272] Time 0.706 (0.775) Data 0.002 (0.002) Loss 1.5266 (1.6188) Prec@1 58.125 (56.371) Prec@5 87.500 (84.833) Epoch: [81][6400/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5647 (1.6187) Prec@1 55.000 (56.373) Prec@5 86.250 (84.833) Epoch: [81][6410/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.7636 (1.6187) Prec@1 58.750 (56.373) Prec@5 83.125 (84.833) Epoch: [81][6420/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.4905 (1.6188) Prec@1 57.500 (56.370) Prec@5 88.750 (84.831) Epoch: [81][6430/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.5415 (1.6188) Prec@1 56.250 (56.368) Prec@5 86.250 (84.832) Epoch: [81][6440/11272] Time 0.828 (0.775) Data 0.002 (0.002) Loss 1.7811 (1.6188) Prec@1 51.875 (56.368) Prec@5 83.750 (84.831) Epoch: [81][6450/11272] Time 0.768 (0.775) Data 0.002 (0.002) Loss 1.8627 (1.6188) Prec@1 53.750 (56.367) Prec@5 78.750 (84.830) Epoch: [81][6460/11272] Time 0.745 (0.775) Data 0.002 (0.002) Loss 1.5827 (1.6189) Prec@1 59.375 (56.368) Prec@5 86.875 (84.830) Epoch: [81][6470/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.8025 (1.6190) Prec@1 48.750 (56.365) Prec@5 82.500 (84.828) Epoch: [81][6480/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.7296 (1.6191) Prec@1 55.625 (56.361) Prec@5 81.875 (84.827) Epoch: [81][6490/11272] Time 0.744 (0.775) Data 0.002 (0.002) Loss 1.5262 (1.6191) Prec@1 59.375 (56.360) Prec@5 86.250 (84.826) Epoch: [81][6500/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.7551 (1.6191) Prec@1 53.125 (56.361) Prec@5 81.875 (84.827) Epoch: [81][6510/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.4735 (1.6190) Prec@1 59.375 (56.364) Prec@5 87.500 (84.827) Epoch: [81][6520/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7417 (1.6191) Prec@1 54.375 (56.361) Prec@5 82.500 (84.826) Epoch: [81][6530/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.6626 (1.6191) Prec@1 53.750 (56.359) Prec@5 86.250 (84.824) Epoch: [81][6540/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.5974 (1.6192) Prec@1 58.125 (56.357) Prec@5 85.625 (84.822) Epoch: [81][6550/11272] Time 0.863 (0.775) Data 0.002 (0.002) Loss 1.4536 (1.6191) Prec@1 62.500 (56.360) Prec@5 90.000 (84.824) Epoch: [81][6560/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.8249 (1.6192) Prec@1 50.000 (56.360) Prec@5 79.375 (84.824) Epoch: [81][6570/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.5557 (1.6192) Prec@1 58.125 (56.359) Prec@5 84.375 (84.823) Epoch: [81][6580/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.4077 (1.6191) Prec@1 61.250 (56.360) Prec@5 86.250 (84.826) Epoch: [81][6590/11272] Time 0.850 (0.775) Data 0.002 (0.002) Loss 1.5446 (1.6191) Prec@1 57.500 (56.360) Prec@5 83.125 (84.825) Epoch: [81][6600/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.7454 (1.6191) Prec@1 52.500 (56.361) Prec@5 85.000 (84.824) Epoch: [81][6610/11272] Time 0.691 (0.775) Data 0.001 (0.002) Loss 1.5345 (1.6191) Prec@1 56.875 (56.361) Prec@5 86.875 (84.823) Epoch: [81][6620/11272] Time 0.842 (0.775) Data 0.001 (0.002) Loss 1.6064 (1.6192) Prec@1 56.875 (56.360) Prec@5 85.000 (84.821) Epoch: [81][6630/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.6016 (1.6192) Prec@1 56.250 (56.360) Prec@5 87.500 (84.821) Epoch: [81][6640/11272] Time 0.726 (0.775) Data 0.002 (0.002) Loss 1.5403 (1.6192) Prec@1 63.125 (56.361) Prec@5 83.750 (84.820) Epoch: [81][6650/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6686 (1.6193) Prec@1 56.875 (56.358) Prec@5 81.875 (84.819) Epoch: [81][6660/11272] Time 0.826 (0.775) Data 0.002 (0.002) Loss 1.7169 (1.6192) Prec@1 53.750 (56.361) Prec@5 85.625 (84.821) Epoch: [81][6670/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.4483 (1.6192) Prec@1 56.250 (56.361) Prec@5 89.375 (84.823) Epoch: [81][6680/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.7765 (1.6191) Prec@1 53.125 (56.365) Prec@5 81.875 (84.824) Epoch: [81][6690/11272] Time 0.695 (0.775) Data 0.001 (0.002) Loss 1.7041 (1.6192) Prec@1 55.625 (56.365) Prec@5 83.750 (84.823) Epoch: [81][6700/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.5604 (1.6192) Prec@1 58.750 (56.368) Prec@5 85.625 (84.823) Epoch: [81][6710/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.5572 (1.6191) Prec@1 58.125 (56.371) Prec@5 87.500 (84.825) Epoch: [81][6720/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.7806 (1.6192) Prec@1 58.125 (56.371) Prec@5 80.000 (84.823) Epoch: [81][6730/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.5859 (1.6192) Prec@1 59.375 (56.373) Prec@5 85.625 (84.825) Epoch: [81][6740/11272] Time 0.845 (0.775) Data 0.002 (0.002) Loss 1.7195 (1.6191) Prec@1 55.625 (56.374) Prec@5 85.000 (84.826) Epoch: [81][6750/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.5035 (1.6192) Prec@1 59.375 (56.373) Prec@5 85.625 (84.825) Epoch: [81][6760/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.4938 (1.6192) Prec@1 58.750 (56.371) Prec@5 86.875 (84.826) Epoch: [81][6770/11272] Time 0.843 (0.775) Data 0.002 (0.002) Loss 1.6897 (1.6192) Prec@1 59.375 (56.372) Prec@5 84.375 (84.827) Epoch: [81][6780/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.3757 (1.6192) Prec@1 61.875 (56.374) Prec@5 88.125 (84.827) Epoch: [81][6790/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.6153 (1.6192) Prec@1 56.875 (56.375) Prec@5 81.875 (84.826) Epoch: [81][6800/11272] Time 0.770 (0.775) Data 0.002 (0.002) Loss 1.5480 (1.6193) Prec@1 55.000 (56.375) Prec@5 87.500 (84.825) Epoch: [81][6810/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.6166 (1.6193) Prec@1 53.750 (56.372) Prec@5 84.375 (84.823) Epoch: [81][6820/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.7332 (1.6193) Prec@1 51.875 (56.371) Prec@5 81.875 (84.824) Epoch: [81][6830/11272] Time 0.724 (0.775) Data 0.002 (0.002) Loss 1.3508 (1.6193) Prec@1 65.625 (56.372) Prec@5 88.125 (84.826) Epoch: [81][6840/11272] Time 0.896 (0.775) Data 0.002 (0.002) Loss 1.4614 (1.6192) Prec@1 60.625 (56.372) Prec@5 91.250 (84.826) Epoch: [81][6850/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.8383 (1.6192) Prec@1 51.250 (56.372) Prec@5 80.000 (84.827) Epoch: [81][6860/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.4577 (1.6192) Prec@1 61.250 (56.372) Prec@5 86.875 (84.828) Epoch: [81][6870/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.6475 (1.6192) Prec@1 50.625 (56.373) Prec@5 84.375 (84.827) Epoch: [81][6880/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.6196 (1.6193) Prec@1 60.625 (56.373) Prec@5 82.500 (84.825) Epoch: [81][6890/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.4562 (1.6192) Prec@1 56.875 (56.375) Prec@5 85.625 (84.826) Epoch: [81][6900/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6754 (1.6193) Prec@1 58.125 (56.374) Prec@5 81.875 (84.826) Epoch: [81][6910/11272] Time 0.781 (0.775) Data 0.002 (0.002) Loss 1.8286 (1.6193) Prec@1 54.375 (56.376) Prec@5 81.250 (84.826) Epoch: [81][6920/11272] Time 0.837 (0.775) Data 0.001 (0.002) Loss 1.5561 (1.6193) Prec@1 60.000 (56.375) Prec@5 85.625 (84.823) Epoch: [81][6930/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.5244 (1.6193) Prec@1 62.500 (56.376) Prec@5 86.250 (84.823) Epoch: [81][6940/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.4608 (1.6194) Prec@1 64.375 (56.375) Prec@5 88.750 (84.823) Epoch: [81][6950/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.6327 (1.6194) Prec@1 59.375 (56.375) Prec@5 83.750 (84.822) Epoch: [81][6960/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.6139 (1.6195) Prec@1 56.875 (56.373) Prec@5 84.375 (84.821) Epoch: [81][6970/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5431 (1.6194) Prec@1 60.625 (56.374) Prec@5 87.500 (84.822) Epoch: [81][6980/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.6932 (1.6194) Prec@1 51.250 (56.372) Prec@5 85.625 (84.822) Epoch: [81][6990/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.4754 (1.6194) Prec@1 59.375 (56.375) Prec@5 87.500 (84.823) Epoch: [81][7000/11272] Time 0.861 (0.775) Data 0.001 (0.002) Loss 1.5312 (1.6194) Prec@1 63.125 (56.373) Prec@5 85.000 (84.826) Epoch: [81][7010/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.5757 (1.6193) Prec@1 58.750 (56.376) Prec@5 84.375 (84.826) Epoch: [81][7020/11272] Time 0.726 (0.775) Data 0.002 (0.002) Loss 1.5961 (1.6194) Prec@1 53.125 (56.373) Prec@5 85.625 (84.826) Epoch: [81][7030/11272] Time 0.806 (0.775) Data 0.002 (0.002) Loss 1.4946 (1.6193) Prec@1 55.000 (56.372) Prec@5 88.750 (84.828) Epoch: [81][7040/11272] Time 0.790 (0.775) Data 0.001 (0.002) Loss 1.5617 (1.6193) Prec@1 57.500 (56.372) Prec@5 86.250 (84.826) Epoch: [81][7050/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6274 (1.6194) Prec@1 61.875 (56.372) Prec@5 81.250 (84.824) Epoch: [81][7060/11272] Time 0.742 (0.775) Data 0.002 (0.002) Loss 1.5871 (1.6193) Prec@1 52.500 (56.372) Prec@5 90.000 (84.826) Epoch: [81][7070/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.8806 (1.6195) Prec@1 54.375 (56.368) Prec@5 81.875 (84.824) Epoch: [81][7080/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.7855 (1.6195) Prec@1 55.000 (56.366) Prec@5 82.500 (84.823) Epoch: [81][7090/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.4850 (1.6195) Prec@1 60.000 (56.363) Prec@5 88.750 (84.825) Epoch: [81][7100/11272] Time 0.773 (0.775) Data 0.001 (0.002) Loss 1.7513 (1.6195) Prec@1 53.125 (56.364) Prec@5 80.625 (84.825) Epoch: [81][7110/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.4266 (1.6196) Prec@1 60.625 (56.363) Prec@5 86.250 (84.824) Epoch: [81][7120/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.6516 (1.6195) Prec@1 53.125 (56.364) Prec@5 83.750 (84.824) Epoch: [81][7130/11272] Time 0.726 (0.775) Data 0.002 (0.002) Loss 1.5752 (1.6195) Prec@1 55.625 (56.365) Prec@5 83.750 (84.825) Epoch: [81][7140/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.7105 (1.6195) Prec@1 58.125 (56.365) Prec@5 84.375 (84.826) Epoch: [81][7150/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7870 (1.6194) Prec@1 51.875 (56.366) Prec@5 81.875 (84.826) Epoch: [81][7160/11272] Time 0.746 (0.775) Data 0.002 (0.002) Loss 1.6858 (1.6195) Prec@1 54.375 (56.363) Prec@5 85.000 (84.824) Epoch: [81][7170/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.4574 (1.6195) Prec@1 61.250 (56.362) Prec@5 88.125 (84.823) Epoch: [81][7180/11272] Time 0.858 (0.775) Data 0.001 (0.002) Loss 1.6304 (1.6197) Prec@1 60.000 (56.359) Prec@5 85.000 (84.821) Epoch: [81][7190/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.8926 (1.6198) Prec@1 47.500 (56.357) Prec@5 82.500 (84.820) Epoch: [81][7200/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6382 (1.6198) Prec@1 55.625 (56.355) Prec@5 83.125 (84.821) Epoch: [81][7210/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.5049 (1.6198) Prec@1 57.500 (56.355) Prec@5 87.500 (84.822) Epoch: [81][7220/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.5943 (1.6198) Prec@1 56.250 (56.355) Prec@5 85.000 (84.821) Epoch: [81][7230/11272] Time 0.706 (0.775) Data 0.003 (0.002) Loss 1.6832 (1.6198) Prec@1 57.500 (56.353) Prec@5 83.750 (84.822) Epoch: [81][7240/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6453 (1.6199) Prec@1 56.875 (56.351) Prec@5 81.875 (84.819) Epoch: [81][7250/11272] Time 0.863 (0.775) Data 0.001 (0.002) Loss 1.5160 (1.6198) Prec@1 56.250 (56.353) Prec@5 85.625 (84.820) Epoch: [81][7260/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.5708 (1.6198) Prec@1 59.375 (56.354) Prec@5 82.500 (84.821) Epoch: [81][7270/11272] Time 0.724 (0.775) Data 0.002 (0.002) Loss 1.4151 (1.6199) Prec@1 57.500 (56.353) Prec@5 86.875 (84.822) Epoch: [81][7280/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.4754 (1.6199) Prec@1 62.500 (56.351) Prec@5 87.500 (84.821) Epoch: [81][7290/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.7230 (1.6199) Prec@1 51.875 (56.351) Prec@5 84.375 (84.819) Epoch: [81][7300/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.6041 (1.6199) Prec@1 57.500 (56.351) Prec@5 83.750 (84.822) Epoch: [81][7310/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.7289 (1.6199) Prec@1 56.875 (56.353) Prec@5 83.750 (84.821) Epoch: [81][7320/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.5532 (1.6198) Prec@1 52.500 (56.352) Prec@5 88.750 (84.822) Epoch: [81][7330/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.6331 (1.6199) Prec@1 60.625 (56.350) Prec@5 84.375 (84.822) Epoch: [81][7340/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.4582 (1.6200) Prec@1 58.750 (56.345) Prec@5 88.125 (84.821) Epoch: [81][7350/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.7915 (1.6200) Prec@1 55.000 (56.347) Prec@5 80.625 (84.821) Epoch: [81][7360/11272] Time 0.832 (0.775) Data 0.002 (0.002) Loss 1.7394 (1.6200) Prec@1 51.875 (56.347) Prec@5 87.500 (84.821) Epoch: [81][7370/11272] Time 0.866 (0.775) Data 0.002 (0.002) Loss 1.5812 (1.6200) Prec@1 55.000 (56.348) Prec@5 85.625 (84.822) Epoch: [81][7380/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.8421 (1.6200) Prec@1 49.375 (56.346) Prec@5 80.625 (84.821) Epoch: [81][7390/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.4776 (1.6199) Prec@1 66.250 (56.348) Prec@5 86.250 (84.823) Epoch: [81][7400/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6839 (1.6200) Prec@1 58.125 (56.346) Prec@5 83.125 (84.824) Epoch: [81][7410/11272] Time 0.844 (0.775) Data 0.002 (0.002) Loss 1.4786 (1.6200) Prec@1 59.375 (56.345) Prec@5 86.250 (84.823) Epoch: [81][7420/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.7875 (1.6200) Prec@1 55.000 (56.346) Prec@5 83.750 (84.822) Epoch: [81][7430/11272] Time 0.745 (0.775) Data 0.002 (0.002) Loss 1.4393 (1.6201) Prec@1 56.250 (56.346) Prec@5 88.750 (84.821) Epoch: [81][7440/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.3886 (1.6200) Prec@1 60.000 (56.344) Prec@5 88.750 (84.822) Epoch: [81][7450/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.5423 (1.6201) Prec@1 59.375 (56.343) Prec@5 86.875 (84.819) Epoch: [81][7460/11272] Time 0.726 (0.775) Data 0.002 (0.002) Loss 1.6179 (1.6200) Prec@1 56.875 (56.346) Prec@5 86.250 (84.822) Epoch: [81][7470/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6252 (1.6199) Prec@1 58.125 (56.349) Prec@5 81.250 (84.823) Epoch: [81][7480/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.7023 (1.6199) Prec@1 53.750 (56.349) Prec@5 81.875 (84.822) Epoch: [81][7490/11272] Time 0.802 (0.775) Data 0.002 (0.002) Loss 1.7170 (1.6199) Prec@1 51.875 (56.350) Prec@5 81.250 (84.822) Epoch: [81][7500/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.7592 (1.6200) Prec@1 55.000 (56.348) Prec@5 81.250 (84.820) Epoch: [81][7510/11272] Time 0.851 (0.775) Data 0.001 (0.002) Loss 1.4934 (1.6200) Prec@1 54.375 (56.346) Prec@5 87.500 (84.820) Epoch: [81][7520/11272] Time 0.794 (0.775) Data 0.001 (0.002) Loss 1.7710 (1.6201) Prec@1 52.500 (56.344) Prec@5 82.500 (84.820) Epoch: [81][7530/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.6109 (1.6201) Prec@1 55.000 (56.343) Prec@5 87.500 (84.820) Epoch: [81][7540/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7226 (1.6200) Prec@1 51.250 (56.343) Prec@5 81.875 (84.821) Epoch: [81][7550/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.4819 (1.6201) Prec@1 60.625 (56.344) Prec@5 85.625 (84.819) Epoch: [81][7560/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.4779 (1.6200) Prec@1 59.375 (56.343) Prec@5 86.250 (84.820) Epoch: [81][7570/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.4261 (1.6200) Prec@1 60.625 (56.343) Prec@5 89.375 (84.820) Epoch: [81][7580/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.3771 (1.6200) Prec@1 64.375 (56.344) Prec@5 88.750 (84.820) Epoch: [81][7590/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.6411 (1.6200) Prec@1 58.750 (56.344) Prec@5 80.000 (84.819) Epoch: [81][7600/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.8388 (1.6199) Prec@1 56.250 (56.345) Prec@5 83.125 (84.821) Epoch: [81][7610/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.7683 (1.6199) Prec@1 59.375 (56.348) Prec@5 82.500 (84.822) Epoch: [81][7620/11272] Time 0.753 (0.775) Data 0.002 (0.002) Loss 1.6648 (1.6200) Prec@1 53.750 (56.344) Prec@5 83.125 (84.819) Epoch: [81][7630/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.6030 (1.6201) Prec@1 52.500 (56.344) Prec@5 83.750 (84.818) Epoch: [81][7640/11272] Time 0.715 (0.775) Data 0.002 (0.002) Loss 1.5658 (1.6201) Prec@1 58.750 (56.344) Prec@5 83.125 (84.816) Epoch: [81][7650/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6689 (1.6201) Prec@1 56.250 (56.344) Prec@5 83.750 (84.817) Epoch: [81][7660/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.4636 (1.6201) Prec@1 59.375 (56.341) Prec@5 86.875 (84.816) Epoch: [81][7670/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.5382 (1.6201) Prec@1 60.625 (56.344) Prec@5 83.750 (84.817) Epoch: [81][7680/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.6482 (1.6201) Prec@1 56.250 (56.343) Prec@5 88.125 (84.817) Epoch: [81][7690/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.6202 (1.6201) Prec@1 58.750 (56.343) Prec@5 85.625 (84.816) Epoch: [81][7700/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.7143 (1.6201) Prec@1 52.500 (56.342) Prec@5 88.125 (84.815) Epoch: [81][7710/11272] Time 0.845 (0.775) Data 0.002 (0.002) Loss 1.1457 (1.6202) Prec@1 65.000 (56.340) Prec@5 91.250 (84.815) Epoch: [81][7720/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.3290 (1.6202) Prec@1 65.000 (56.339) Prec@5 90.000 (84.816) Epoch: [81][7730/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5815 (1.6202) Prec@1 58.125 (56.340) Prec@5 83.125 (84.815) Epoch: [81][7740/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.6118 (1.6202) Prec@1 58.750 (56.340) Prec@5 83.750 (84.814) Epoch: [81][7750/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.4419 (1.6201) Prec@1 56.875 (56.343) Prec@5 89.375 (84.814) Epoch: [81][7760/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.4617 (1.6201) Prec@1 63.125 (56.345) Prec@5 84.375 (84.814) Epoch: [81][7770/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.7732 (1.6201) Prec@1 55.625 (56.346) Prec@5 81.875 (84.813) Epoch: [81][7780/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.5007 (1.6201) Prec@1 62.500 (56.346) Prec@5 83.750 (84.812) Epoch: [81][7790/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.7062 (1.6201) Prec@1 53.750 (56.346) Prec@5 83.125 (84.811) Epoch: [81][7800/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.5558 (1.6201) Prec@1 58.125 (56.347) Prec@5 84.375 (84.810) Epoch: [81][7810/11272] Time 0.850 (0.775) Data 0.001 (0.002) Loss 1.6328 (1.6201) Prec@1 55.625 (56.348) Prec@5 84.375 (84.811) Epoch: [81][7820/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.5225 (1.6202) Prec@1 60.000 (56.348) Prec@5 85.625 (84.809) Epoch: [81][7830/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.4999 (1.6201) Prec@1 59.375 (56.348) Prec@5 82.500 (84.809) Epoch: [81][7840/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.5815 (1.6202) Prec@1 55.000 (56.347) Prec@5 85.000 (84.807) Epoch: [81][7850/11272] Time 0.847 (0.775) Data 0.001 (0.002) Loss 1.4480 (1.6203) Prec@1 64.375 (56.346) Prec@5 86.250 (84.806) Epoch: [81][7860/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.5761 (1.6202) Prec@1 60.000 (56.347) Prec@5 83.750 (84.808) Epoch: [81][7870/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.8944 (1.6203) Prec@1 55.625 (56.349) Prec@5 76.875 (84.807) Epoch: [81][7880/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5131 (1.6202) Prec@1 60.625 (56.350) Prec@5 85.625 (84.809) Epoch: [81][7890/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.4645 (1.6202) Prec@1 57.500 (56.351) Prec@5 86.250 (84.809) Epoch: [81][7900/11272] Time 0.708 (0.775) Data 0.003 (0.002) Loss 1.5760 (1.6201) Prec@1 57.500 (56.351) Prec@5 85.625 (84.810) Epoch: [81][7910/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.8033 (1.6202) Prec@1 52.500 (56.350) Prec@5 81.875 (84.809) Epoch: [81][7920/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.5233 (1.6202) Prec@1 56.250 (56.349) Prec@5 86.875 (84.809) Epoch: [81][7930/11272] Time 0.858 (0.775) Data 0.004 (0.002) Loss 1.6905 (1.6202) Prec@1 54.375 (56.350) Prec@5 83.125 (84.809) Epoch: [81][7940/11272] Time 0.695 (0.775) Data 0.001 (0.002) Loss 1.6280 (1.6203) Prec@1 55.000 (56.348) Prec@5 85.625 (84.807) Epoch: [81][7950/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.8223 (1.6204) Prec@1 53.125 (56.348) Prec@5 79.375 (84.806) Epoch: [81][7960/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.4589 (1.6204) Prec@1 61.250 (56.349) Prec@5 87.500 (84.805) Epoch: [81][7970/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.9907 (1.6205) Prec@1 48.750 (56.347) Prec@5 80.625 (84.804) Epoch: [81][7980/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.6852 (1.6204) Prec@1 53.125 (56.349) Prec@5 84.375 (84.804) Epoch: [81][7990/11272] Time 0.708 (0.775) Data 0.002 (0.002) Loss 1.4820 (1.6204) Prec@1 63.125 (56.350) Prec@5 82.500 (84.804) Epoch: [81][8000/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.9494 (1.6204) Prec@1 47.500 (56.350) Prec@5 76.875 (84.803) Epoch: [81][8010/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.7466 (1.6204) Prec@1 55.000 (56.350) Prec@5 81.875 (84.802) Epoch: [81][8020/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.7896 (1.6205) Prec@1 50.000 (56.349) Prec@5 81.875 (84.802) Epoch: [81][8030/11272] Time 0.879 (0.775) Data 0.001 (0.002) Loss 1.7018 (1.6205) Prec@1 55.000 (56.348) Prec@5 83.750 (84.802) Epoch: [81][8040/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.4618 (1.6205) Prec@1 58.125 (56.349) Prec@5 88.750 (84.802) Epoch: [81][8050/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.5824 (1.6205) Prec@1 56.875 (56.349) Prec@5 86.250 (84.802) Epoch: [81][8060/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5251 (1.6205) Prec@1 53.750 (56.347) Prec@5 89.375 (84.803) Epoch: [81][8070/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.5439 (1.6205) Prec@1 54.375 (56.350) Prec@5 86.250 (84.805) Epoch: [81][8080/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.6149 (1.6204) Prec@1 59.375 (56.351) Prec@5 81.875 (84.806) Epoch: [81][8090/11272] Time 0.695 (0.775) Data 0.001 (0.002) Loss 1.5542 (1.6205) Prec@1 56.250 (56.351) Prec@5 85.625 (84.806) Epoch: [81][8100/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.9371 (1.6205) Prec@1 46.875 (56.350) Prec@5 75.625 (84.806) Epoch: [81][8110/11272] Time 0.903 (0.775) Data 0.001 (0.002) Loss 1.6649 (1.6204) Prec@1 56.250 (56.351) Prec@5 85.000 (84.806) Epoch: [81][8120/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.6568 (1.6205) Prec@1 52.500 (56.350) Prec@5 81.250 (84.804) Epoch: [81][8130/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8990 (1.6205) Prec@1 50.625 (56.349) Prec@5 81.875 (84.803) Epoch: [81][8140/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.5155 (1.6205) Prec@1 60.625 (56.348) Prec@5 87.500 (84.804) Epoch: [81][8150/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.9151 (1.6206) Prec@1 51.250 (56.347) Prec@5 77.500 (84.804) Epoch: [81][8160/11272] Time 0.704 (0.775) Data 0.003 (0.002) Loss 1.6801 (1.6206) Prec@1 55.000 (56.347) Prec@5 81.875 (84.803) Epoch: [81][8170/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.7409 (1.6205) Prec@1 58.125 (56.349) Prec@5 80.625 (84.805) Epoch: [81][8180/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6687 (1.6205) Prec@1 61.250 (56.348) Prec@5 83.750 (84.805) Epoch: [81][8190/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.5674 (1.6207) Prec@1 60.625 (56.346) Prec@5 83.125 (84.804) Epoch: [81][8200/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.8911 (1.6207) Prec@1 50.000 (56.344) Prec@5 76.875 (84.802) Epoch: [81][8210/11272] Time 0.724 (0.775) Data 0.002 (0.002) Loss 1.7035 (1.6207) Prec@1 57.500 (56.344) Prec@5 81.250 (84.802) Epoch: [81][8220/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.6470 (1.6207) Prec@1 57.500 (56.346) Prec@5 86.250 (84.801) Epoch: [81][8230/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.6743 (1.6208) Prec@1 56.875 (56.346) Prec@5 82.500 (84.800) Epoch: [81][8240/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.4613 (1.6208) Prec@1 62.500 (56.347) Prec@5 89.375 (84.801) Epoch: [81][8250/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.9344 (1.6209) Prec@1 48.750 (56.346) Prec@5 79.375 (84.799) Epoch: [81][8260/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.7078 (1.6210) Prec@1 51.250 (56.343) Prec@5 83.750 (84.797) Epoch: [81][8270/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6637 (1.6209) Prec@1 56.250 (56.343) Prec@5 82.500 (84.798) Epoch: [81][8280/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.4380 (1.6209) Prec@1 61.250 (56.342) Prec@5 88.125 (84.797) Epoch: [81][8290/11272] Time 0.794 (0.775) Data 0.001 (0.002) Loss 1.5866 (1.6210) Prec@1 55.625 (56.342) Prec@5 88.125 (84.796) Epoch: [81][8300/11272] Time 0.807 (0.775) Data 0.002 (0.002) Loss 1.4892 (1.6210) Prec@1 63.125 (56.342) Prec@5 86.875 (84.795) Epoch: [81][8310/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.4780 (1.6210) Prec@1 58.125 (56.342) Prec@5 88.125 (84.795) Epoch: [81][8320/11272] Time 0.735 (0.775) Data 0.002 (0.002) Loss 1.5944 (1.6210) Prec@1 55.000 (56.343) Prec@5 87.500 (84.795) Epoch: [81][8330/11272] Time 0.872 (0.775) Data 0.002 (0.002) Loss 1.5231 (1.6210) Prec@1 56.875 (56.341) Prec@5 83.750 (84.794) Epoch: [81][8340/11272] Time 0.812 (0.775) Data 0.002 (0.002) Loss 1.6916 (1.6211) Prec@1 51.875 (56.340) Prec@5 85.625 (84.794) Epoch: [81][8350/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.4712 (1.6210) Prec@1 56.250 (56.342) Prec@5 86.250 (84.795) Epoch: [81][8360/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.5544 (1.6211) Prec@1 56.875 (56.341) Prec@5 86.250 (84.794) Epoch: [81][8370/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.6133 (1.6210) Prec@1 58.750 (56.340) Prec@5 82.500 (84.794) Epoch: [81][8380/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.5308 (1.6210) Prec@1 55.625 (56.340) Prec@5 87.500 (84.794) Epoch: [81][8390/11272] Time 0.752 (0.775) Data 0.001 (0.002) Loss 1.7784 (1.6211) Prec@1 52.500 (56.340) Prec@5 82.500 (84.793) Epoch: [81][8400/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.5737 (1.6211) Prec@1 56.250 (56.340) Prec@5 87.500 (84.792) Epoch: [81][8410/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6195 (1.6211) Prec@1 57.500 (56.341) Prec@5 85.000 (84.791) Epoch: [81][8420/11272] Time 0.839 (0.775) Data 0.002 (0.002) Loss 1.9449 (1.6211) Prec@1 49.375 (56.342) Prec@5 80.000 (84.791) Epoch: [81][8430/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6890 (1.6211) Prec@1 53.750 (56.340) Prec@5 85.000 (84.790) Epoch: [81][8440/11272] Time 0.833 (0.775) Data 0.002 (0.002) Loss 1.4817 (1.6211) Prec@1 63.125 (56.341) Prec@5 87.500 (84.790) Epoch: [81][8450/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.5276 (1.6210) Prec@1 54.375 (56.341) Prec@5 87.500 (84.792) Epoch: [81][8460/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5276 (1.6211) Prec@1 57.500 (56.341) Prec@5 86.250 (84.791) Epoch: [81][8470/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.7933 (1.6211) Prec@1 49.375 (56.340) Prec@5 80.625 (84.790) Epoch: [81][8480/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.8450 (1.6210) Prec@1 48.750 (56.342) Prec@5 81.250 (84.790) Epoch: [81][8490/11272] Time 0.826 (0.775) Data 0.002 (0.002) Loss 1.6865 (1.6211) Prec@1 53.750 (56.342) Prec@5 84.375 (84.788) Epoch: [81][8500/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6776 (1.6212) Prec@1 49.375 (56.339) Prec@5 83.125 (84.787) Epoch: [81][8510/11272] Time 0.743 (0.775) Data 0.001 (0.002) Loss 1.9528 (1.6212) Prec@1 50.625 (56.339) Prec@5 76.250 (84.787) Epoch: [81][8520/11272] Time 0.878 (0.775) Data 0.002 (0.002) Loss 1.7286 (1.6212) Prec@1 53.125 (56.338) Prec@5 82.500 (84.785) Epoch: [81][8530/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.5397 (1.6213) Prec@1 55.625 (56.336) Prec@5 90.625 (84.786) Epoch: [81][8540/11272] Time 0.749 (0.775) Data 0.002 (0.002) Loss 1.4350 (1.6213) Prec@1 58.125 (56.336) Prec@5 86.250 (84.785) Epoch: [81][8550/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.7027 (1.6213) Prec@1 55.000 (56.335) Prec@5 85.625 (84.785) Epoch: [81][8560/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.6201 (1.6214) Prec@1 56.875 (56.334) Prec@5 83.125 (84.785) Epoch: [81][8570/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.5650 (1.6214) Prec@1 56.250 (56.336) Prec@5 83.125 (84.784) Epoch: [81][8580/11272] Time 0.723 (0.775) Data 0.002 (0.002) Loss 1.8144 (1.6214) Prec@1 49.375 (56.335) Prec@5 78.750 (84.785) Epoch: [81][8590/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5743 (1.6214) Prec@1 60.000 (56.333) Prec@5 86.250 (84.784) Epoch: [81][8600/11272] Time 0.814 (0.775) Data 0.002 (0.002) Loss 1.5463 (1.6214) Prec@1 57.500 (56.333) Prec@5 86.875 (84.784) Epoch: [81][8610/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.6939 (1.6215) Prec@1 54.375 (56.331) Prec@5 83.125 (84.784) Epoch: [81][8620/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6610 (1.6215) Prec@1 55.000 (56.332) Prec@5 83.125 (84.785) Epoch: [81][8630/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.6502 (1.6215) Prec@1 51.875 (56.328) Prec@5 87.500 (84.786) Epoch: [81][8640/11272] Time 0.784 (0.775) Data 0.002 (0.002) Loss 1.5808 (1.6215) Prec@1 55.000 (56.327) Prec@5 86.250 (84.785) Epoch: [81][8650/11272] Time 0.717 (0.775) Data 0.002 (0.002) Loss 1.5960 (1.6215) Prec@1 56.875 (56.326) Prec@5 85.000 (84.785) Epoch: [81][8660/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.4263 (1.6215) Prec@1 55.625 (56.326) Prec@5 88.125 (84.785) Epoch: [81][8670/11272] Time 0.816 (0.775) Data 0.002 (0.002) Loss 1.6914 (1.6215) Prec@1 56.250 (56.328) Prec@5 82.500 (84.785) Epoch: [81][8680/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.4737 (1.6214) Prec@1 56.875 (56.329) Prec@5 89.375 (84.786) Epoch: [81][8690/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.5748 (1.6214) Prec@1 57.500 (56.330) Prec@5 83.125 (84.786) Epoch: [81][8700/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.5228 (1.6214) Prec@1 57.500 (56.333) Prec@5 86.250 (84.786) Epoch: [81][8710/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.3768 (1.6213) Prec@1 60.625 (56.334) Prec@5 88.750 (84.787) Epoch: [81][8720/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.5383 (1.6214) Prec@1 59.375 (56.333) Prec@5 83.750 (84.785) Epoch: [81][8730/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5838 (1.6213) Prec@1 60.000 (56.333) Prec@5 86.875 (84.785) Epoch: [81][8740/11272] Time 0.807 (0.775) Data 0.002 (0.002) Loss 1.6048 (1.6213) Prec@1 57.500 (56.333) Prec@5 85.000 (84.784) Epoch: [81][8750/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.6523 (1.6214) Prec@1 58.125 (56.332) Prec@5 81.250 (84.783) Epoch: [81][8760/11272] Time 0.759 (0.775) Data 0.002 (0.002) Loss 1.5210 (1.6214) Prec@1 63.750 (56.332) Prec@5 85.625 (84.782) Epoch: [81][8770/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.4479 (1.6215) Prec@1 62.500 (56.329) Prec@5 87.500 (84.781) Epoch: [81][8780/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.5884 (1.6215) Prec@1 57.500 (56.330) Prec@5 83.750 (84.781) Epoch: [81][8790/11272] Time 0.845 (0.775) Data 0.002 (0.002) Loss 1.6861 (1.6215) Prec@1 55.625 (56.329) Prec@5 81.875 (84.780) Epoch: [81][8800/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.5811 (1.6216) Prec@1 58.125 (56.328) Prec@5 81.875 (84.780) Epoch: [81][8810/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6862 (1.6216) Prec@1 53.125 (56.327) Prec@5 82.500 (84.779) Epoch: [81][8820/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7877 (1.6216) Prec@1 51.875 (56.327) Prec@5 82.500 (84.778) Epoch: [81][8830/11272] Time 0.700 (0.775) Data 0.002 (0.002) Loss 1.4181 (1.6216) Prec@1 58.750 (56.327) Prec@5 88.750 (84.778) Epoch: [81][8840/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.4549 (1.6216) Prec@1 61.250 (56.328) Prec@5 85.625 (84.778) Epoch: [81][8850/11272] Time 0.856 (0.775) Data 0.001 (0.002) Loss 1.7180 (1.6216) Prec@1 50.625 (56.329) Prec@5 83.750 (84.778) Epoch: [81][8860/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.5028 (1.6216) Prec@1 55.625 (56.329) Prec@5 88.125 (84.778) Epoch: [81][8870/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6718 (1.6216) Prec@1 56.875 (56.330) Prec@5 86.875 (84.779) Epoch: [81][8880/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.4647 (1.6216) Prec@1 63.125 (56.330) Prec@5 89.375 (84.780) Epoch: [81][8890/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.7427 (1.6216) Prec@1 51.875 (56.330) Prec@5 83.750 (84.780) Epoch: [81][8900/11272] Time 0.803 (0.775) Data 0.002 (0.002) Loss 1.6729 (1.6216) Prec@1 54.375 (56.330) Prec@5 84.375 (84.779) Epoch: [81][8910/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.5003 (1.6216) Prec@1 60.625 (56.330) Prec@5 88.125 (84.779) Epoch: [81][8920/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.9230 (1.6217) Prec@1 50.625 (56.329) Prec@5 79.375 (84.777) Epoch: [81][8930/11272] Time 0.837 (0.775) Data 0.001 (0.002) Loss 1.5032 (1.6217) Prec@1 54.375 (56.327) Prec@5 88.750 (84.777) Epoch: [81][8940/11272] Time 0.842 (0.775) Data 0.001 (0.002) Loss 1.7133 (1.6217) Prec@1 54.375 (56.325) Prec@5 81.875 (84.776) Epoch: [81][8950/11272] Time 0.708 (0.775) Data 0.002 (0.002) Loss 1.6256 (1.6218) Prec@1 53.750 (56.323) Prec@5 85.000 (84.776) Epoch: [81][8960/11272] Time 0.786 (0.775) Data 0.002 (0.002) Loss 1.6154 (1.6218) Prec@1 60.000 (56.323) Prec@5 84.375 (84.775) Epoch: [81][8970/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.7079 (1.6219) Prec@1 51.250 (56.321) Prec@5 82.500 (84.773) Epoch: [81][8980/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.6136 (1.6218) Prec@1 53.125 (56.322) Prec@5 85.625 (84.774) Epoch: [81][8990/11272] Time 0.766 (0.775) Data 0.002 (0.002) Loss 1.3909 (1.6218) Prec@1 63.125 (56.321) Prec@5 90.625 (84.774) Epoch: [81][9000/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.5189 (1.6219) Prec@1 53.750 (56.322) Prec@5 85.000 (84.774) Epoch: [81][9010/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.7928 (1.6219) Prec@1 48.125 (56.319) Prec@5 84.375 (84.773) Epoch: [81][9020/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5562 (1.6218) Prec@1 56.875 (56.322) Prec@5 86.250 (84.774) Epoch: [81][9030/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.7592 (1.6219) Prec@1 55.625 (56.320) Prec@5 81.875 (84.773) Epoch: [81][9040/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5514 (1.6219) Prec@1 59.375 (56.321) Prec@5 86.250 (84.772) Epoch: [81][9050/11272] Time 0.798 (0.775) Data 0.001 (0.002) Loss 1.5283 (1.6220) Prec@1 62.500 (56.320) Prec@5 87.500 (84.771) Epoch: [81][9060/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.4737 (1.6220) Prec@1 60.625 (56.321) Prec@5 85.625 (84.771) Epoch: [81][9070/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.7363 (1.6220) Prec@1 58.750 (56.323) Prec@5 80.000 (84.769) Epoch: [81][9080/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5563 (1.6220) Prec@1 56.875 (56.323) Prec@5 87.500 (84.770) Epoch: [81][9090/11272] Time 0.731 (0.775) Data 0.003 (0.002) Loss 1.6619 (1.6220) Prec@1 58.750 (56.324) Prec@5 81.875 (84.769) Epoch: [81][9100/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.5411 (1.6220) Prec@1 59.375 (56.324) Prec@5 86.250 (84.770) Epoch: [81][9110/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.9079 (1.6221) Prec@1 46.875 (56.320) Prec@5 80.000 (84.769) Epoch: [81][9120/11272] Time 0.804 (0.775) Data 0.002 (0.002) Loss 1.5831 (1.6221) Prec@1 59.375 (56.320) Prec@5 83.750 (84.768) Epoch: [81][9130/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.5964 (1.6222) Prec@1 58.125 (56.320) Prec@5 86.250 (84.768) Epoch: [81][9140/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6315 (1.6222) Prec@1 56.875 (56.320) Prec@5 86.250 (84.766) Epoch: [81][9150/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.7392 (1.6223) Prec@1 54.375 (56.318) Prec@5 83.125 (84.766) Epoch: [81][9160/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.8616 (1.6224) Prec@1 50.625 (56.317) Prec@5 82.500 (84.765) Epoch: [81][9170/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7742 (1.6225) Prec@1 53.750 (56.315) Prec@5 79.375 (84.763) Epoch: [81][9180/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.7950 (1.6225) Prec@1 52.500 (56.314) Prec@5 81.875 (84.763) Epoch: [81][9190/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.7068 (1.6226) Prec@1 53.125 (56.312) Prec@5 85.000 (84.762) Epoch: [81][9200/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.5868 (1.6226) Prec@1 55.000 (56.312) Prec@5 87.500 (84.763) Epoch: [81][9210/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.4493 (1.6226) Prec@1 60.000 (56.312) Prec@5 87.500 (84.763) Epoch: [81][9220/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.6921 (1.6225) Prec@1 55.000 (56.312) Prec@5 81.250 (84.763) Epoch: [81][9230/11272] Time 0.817 (0.775) Data 0.002 (0.002) Loss 1.6306 (1.6226) Prec@1 51.250 (56.312) Prec@5 85.000 (84.763) Epoch: [81][9240/11272] Time 0.749 (0.775) Data 0.001 (0.002) Loss 1.5401 (1.6225) Prec@1 59.375 (56.313) Prec@5 85.625 (84.764) Epoch: [81][9250/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.5210 (1.6226) Prec@1 61.250 (56.313) Prec@5 88.750 (84.762) Epoch: [81][9260/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.5543 (1.6227) Prec@1 53.750 (56.311) Prec@5 87.500 (84.763) Epoch: [81][9270/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.6813 (1.6226) Prec@1 58.750 (56.313) Prec@5 82.500 (84.762) Epoch: [81][9280/11272] Time 0.753 (0.775) Data 0.002 (0.002) Loss 1.5987 (1.6226) Prec@1 55.625 (56.312) Prec@5 86.250 (84.762) Epoch: [81][9290/11272] Time 0.687 (0.775) Data 0.001 (0.002) Loss 1.5201 (1.6226) Prec@1 58.125 (56.313) Prec@5 88.125 (84.763) Epoch: [81][9300/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.6154 (1.6226) Prec@1 51.875 (56.313) Prec@5 87.500 (84.764) Epoch: [81][9310/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.5985 (1.6226) Prec@1 54.375 (56.314) Prec@5 85.000 (84.764) Epoch: [81][9320/11272] Time 0.698 (0.774) Data 0.003 (0.002) Loss 1.6978 (1.6226) Prec@1 53.125 (56.312) Prec@5 83.750 (84.763) Epoch: [81][9330/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.4454 (1.6225) Prec@1 56.250 (56.312) Prec@5 88.125 (84.764) Epoch: [81][9340/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.6467 (1.6225) Prec@1 53.750 (56.310) Prec@5 85.000 (84.764) Epoch: [81][9350/11272] Time 0.809 (0.774) Data 0.002 (0.002) Loss 1.6087 (1.6225) Prec@1 62.500 (56.311) Prec@5 84.375 (84.764) Epoch: [81][9360/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7927 (1.6226) Prec@1 51.875 (56.311) Prec@5 81.250 (84.763) Epoch: [81][9370/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.5844 (1.6226) Prec@1 53.125 (56.310) Prec@5 84.375 (84.763) Epoch: [81][9380/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6662 (1.6226) Prec@1 60.000 (56.310) Prec@5 82.500 (84.762) Epoch: [81][9390/11272] Time 0.685 (0.774) Data 0.001 (0.002) Loss 1.6609 (1.6227) Prec@1 58.125 (56.310) Prec@5 85.000 (84.762) Epoch: [81][9400/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7407 (1.6227) Prec@1 55.000 (56.309) Prec@5 80.625 (84.761) Epoch: [81][9410/11272] Time 0.857 (0.774) Data 0.002 (0.002) Loss 1.7686 (1.6227) Prec@1 58.125 (56.310) Prec@5 80.000 (84.761) Epoch: [81][9420/11272] Time 0.859 (0.774) Data 0.002 (0.002) Loss 1.6588 (1.6228) Prec@1 53.125 (56.310) Prec@5 84.375 (84.759) Epoch: [81][9430/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.6786 (1.6228) Prec@1 57.500 (56.310) Prec@5 80.625 (84.759) Epoch: [81][9440/11272] Time 0.688 (0.774) Data 0.001 (0.002) Loss 1.5385 (1.6228) Prec@1 58.125 (56.309) Prec@5 85.625 (84.757) Epoch: [81][9450/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.5987 (1.6229) Prec@1 58.125 (56.307) Prec@5 83.125 (84.756) Epoch: [81][9460/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.7543 (1.6229) Prec@1 53.750 (56.308) Prec@5 83.750 (84.756) Epoch: [81][9470/11272] Time 0.695 (0.774) Data 0.001 (0.002) Loss 1.7780 (1.6229) Prec@1 53.750 (56.309) Prec@5 82.500 (84.758) Epoch: [81][9480/11272] Time 0.710 (0.774) Data 0.002 (0.002) Loss 1.3512 (1.6229) Prec@1 61.250 (56.308) Prec@5 89.375 (84.758) Epoch: [81][9490/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.5831 (1.6229) Prec@1 61.250 (56.307) Prec@5 83.125 (84.756) Epoch: [81][9500/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.6991 (1.6229) Prec@1 53.125 (56.307) Prec@5 86.875 (84.758) Epoch: [81][9510/11272] Time 0.714 (0.774) Data 0.002 (0.002) Loss 1.6146 (1.6230) Prec@1 53.750 (56.307) Prec@5 85.000 (84.756) Epoch: [81][9520/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.8728 (1.6230) Prec@1 51.250 (56.308) Prec@5 83.125 (84.754) Epoch: [81][9530/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.7050 (1.6231) Prec@1 51.875 (56.305) Prec@5 82.500 (84.754) Epoch: [81][9540/11272] Time 0.705 (0.774) Data 0.002 (0.002) Loss 1.3606 (1.6231) Prec@1 60.625 (56.305) Prec@5 91.250 (84.753) Epoch: [81][9550/11272] Time 0.749 (0.774) Data 0.002 (0.002) Loss 1.4342 (1.6231) Prec@1 57.500 (56.306) Prec@5 86.250 (84.754) Epoch: [81][9560/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.5691 (1.6231) Prec@1 56.875 (56.307) Prec@5 83.750 (84.754) Epoch: [81][9570/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5587 (1.6231) Prec@1 56.875 (56.305) Prec@5 86.875 (84.753) Epoch: [81][9580/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.5692 (1.6231) Prec@1 55.625 (56.304) Prec@5 84.375 (84.754) Epoch: [81][9590/11272] Time 0.709 (0.774) Data 0.002 (0.002) Loss 1.6632 (1.6232) Prec@1 58.125 (56.303) Prec@5 83.750 (84.752) Epoch: [81][9600/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.7111 (1.6232) Prec@1 55.625 (56.302) Prec@5 81.875 (84.752) Epoch: [81][9610/11272] Time 0.796 (0.774) Data 0.001 (0.002) Loss 1.5640 (1.6232) Prec@1 62.500 (56.303) Prec@5 83.750 (84.752) Epoch: [81][9620/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.8230 (1.6231) Prec@1 50.625 (56.304) Prec@5 83.125 (84.754) Epoch: [81][9630/11272] Time 0.867 (0.774) Data 0.001 (0.002) Loss 1.4941 (1.6231) Prec@1 58.125 (56.305) Prec@5 83.125 (84.754) Epoch: [81][9640/11272] Time 0.828 (0.774) Data 0.002 (0.002) Loss 1.6311 (1.6232) Prec@1 56.875 (56.303) Prec@5 85.625 (84.753) Epoch: [81][9650/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.3914 (1.6232) Prec@1 59.375 (56.302) Prec@5 86.875 (84.752) Epoch: [81][9660/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.3115 (1.6231) Prec@1 65.000 (56.305) Prec@5 90.000 (84.753) Epoch: [81][9670/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.7467 (1.6232) Prec@1 51.875 (56.304) Prec@5 84.375 (84.751) Epoch: [81][9680/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.6163 (1.6232) Prec@1 59.375 (56.305) Prec@5 86.250 (84.751) Epoch: [81][9690/11272] Time 0.747 (0.774) Data 0.002 (0.002) Loss 1.8867 (1.6232) Prec@1 53.125 (56.303) Prec@5 78.125 (84.751) Epoch: [81][9700/11272] Time 0.700 (0.774) Data 0.001 (0.002) Loss 1.8004 (1.6233) Prec@1 53.125 (56.302) Prec@5 77.500 (84.750) Epoch: [81][9710/11272] Time 0.826 (0.774) Data 0.002 (0.002) Loss 1.7333 (1.6233) Prec@1 58.750 (56.303) Prec@5 84.375 (84.749) Epoch: [81][9720/11272] Time 0.787 (0.774) Data 0.002 (0.002) Loss 1.5274 (1.6233) Prec@1 63.125 (56.305) Prec@5 84.375 (84.749) Epoch: [81][9730/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.2986 (1.6234) Prec@1 64.375 (56.305) Prec@5 89.375 (84.747) Epoch: [81][9740/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.5710 (1.6233) Prec@1 56.875 (56.307) Prec@5 85.000 (84.749) Epoch: [81][9750/11272] Time 0.846 (0.774) Data 0.001 (0.002) Loss 1.8970 (1.6233) Prec@1 51.250 (56.307) Prec@5 80.000 (84.747) Epoch: [81][9760/11272] Time 0.713 (0.774) Data 0.003 (0.002) Loss 1.8185 (1.6234) Prec@1 50.000 (56.306) Prec@5 83.125 (84.747) Epoch: [81][9770/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.4362 (1.6234) Prec@1 63.125 (56.306) Prec@5 86.875 (84.747) Epoch: [81][9780/11272] Time 0.809 (0.774) Data 0.002 (0.002) Loss 1.7628 (1.6233) Prec@1 51.250 (56.306) Prec@5 80.000 (84.748) Epoch: [81][9790/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.5987 (1.6234) Prec@1 56.250 (56.305) Prec@5 85.625 (84.748) Epoch: [81][9800/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.6577 (1.6234) Prec@1 56.875 (56.305) Prec@5 82.500 (84.748) Epoch: [81][9810/11272] Time 0.684 (0.774) Data 0.001 (0.002) Loss 1.7872 (1.6234) Prec@1 52.500 (56.306) Prec@5 80.000 (84.747) Epoch: [81][9820/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8953 (1.6234) Prec@1 48.125 (56.305) Prec@5 80.625 (84.746) Epoch: [81][9830/11272] Time 0.813 (0.774) Data 0.002 (0.002) Loss 1.4805 (1.6234) Prec@1 63.125 (56.305) Prec@5 84.375 (84.746) Epoch: [81][9840/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.4683 (1.6234) Prec@1 61.875 (56.306) Prec@5 85.625 (84.746) Epoch: [81][9850/11272] Time 0.738 (0.774) Data 0.002 (0.002) Loss 1.5012 (1.6234) Prec@1 54.375 (56.306) Prec@5 88.750 (84.745) Epoch: [81][9860/11272] Time 0.782 (0.774) Data 0.001 (0.002) Loss 1.5743 (1.6235) Prec@1 53.125 (56.305) Prec@5 84.375 (84.745) Epoch: [81][9870/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.5946 (1.6235) Prec@1 60.000 (56.305) Prec@5 82.500 (84.745) Epoch: [81][9880/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8181 (1.6236) Prec@1 51.250 (56.303) Prec@5 81.875 (84.744) Epoch: [81][9890/11272] Time 0.828 (0.774) Data 0.002 (0.002) Loss 1.9050 (1.6237) Prec@1 54.375 (56.301) Prec@5 79.375 (84.741) Epoch: [81][9900/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.6662 (1.6237) Prec@1 55.000 (56.301) Prec@5 82.500 (84.740) Epoch: [81][9910/11272] Time 0.744 (0.774) Data 0.001 (0.002) Loss 1.6723 (1.6239) Prec@1 50.625 (56.297) Prec@5 86.875 (84.737) Epoch: [81][9920/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.7985 (1.6239) Prec@1 53.750 (56.296) Prec@5 81.875 (84.735) Epoch: [81][9930/11272] Time 0.835 (0.774) Data 0.002 (0.002) Loss 1.7267 (1.6240) Prec@1 55.625 (56.295) Prec@5 80.000 (84.735) Epoch: [81][9940/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.5886 (1.6240) Prec@1 55.625 (56.295) Prec@5 86.250 (84.733) Epoch: [81][9950/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.5863 (1.6240) Prec@1 60.625 (56.296) Prec@5 82.500 (84.733) Epoch: [81][9960/11272] Time 0.739 (0.774) Data 0.001 (0.002) Loss 1.3827 (1.6240) Prec@1 61.875 (56.299) Prec@5 89.375 (84.734) Epoch: [81][9970/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5725 (1.6240) Prec@1 58.125 (56.298) Prec@5 81.250 (84.733) Epoch: [81][9980/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.7193 (1.6241) Prec@1 60.000 (56.297) Prec@5 81.250 (84.732) Epoch: [81][9990/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7648 (1.6242) Prec@1 52.500 (56.298) Prec@5 82.500 (84.731) Epoch: [81][10000/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.4152 (1.6241) Prec@1 60.625 (56.300) Prec@5 87.500 (84.731) Epoch: [81][10010/11272] Time 0.807 (0.774) Data 0.002 (0.002) Loss 1.6538 (1.6240) Prec@1 48.125 (56.300) Prec@5 89.375 (84.733) Epoch: [81][10020/11272] Time 0.690 (0.774) Data 0.002 (0.002) Loss 1.5750 (1.6241) Prec@1 65.000 (56.300) Prec@5 84.375 (84.731) Epoch: [81][10030/11272] Time 0.704 (0.774) Data 0.002 (0.002) Loss 1.5856 (1.6242) Prec@1 56.875 (56.298) Prec@5 86.875 (84.730) Epoch: [81][10040/11272] Time 0.836 (0.774) Data 0.001 (0.002) Loss 1.7905 (1.6242) Prec@1 55.625 (56.299) Prec@5 80.625 (84.729) Epoch: [81][10050/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.5863 (1.6243) Prec@1 55.625 (56.298) Prec@5 87.500 (84.728) Epoch: [81][10060/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.6973 (1.6243) Prec@1 51.250 (56.298) Prec@5 83.125 (84.728) Epoch: [81][10070/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.7105 (1.6243) Prec@1 54.375 (56.297) Prec@5 82.500 (84.727) Epoch: [81][10080/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.5769 (1.6244) Prec@1 59.375 (56.295) Prec@5 84.375 (84.727) Epoch: [81][10090/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.5151 (1.6244) Prec@1 54.375 (56.294) Prec@5 89.375 (84.726) Epoch: [81][10100/11272] Time 0.718 (0.774) Data 0.002 (0.002) Loss 1.5143 (1.6243) Prec@1 58.750 (56.295) Prec@5 83.750 (84.727) Epoch: [81][10110/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.5496 (1.6243) Prec@1 56.875 (56.296) Prec@5 87.500 (84.727) Epoch: [81][10120/11272] Time 0.812 (0.774) Data 0.002 (0.002) Loss 1.6336 (1.6244) Prec@1 53.750 (56.294) Prec@5 84.375 (84.727) Epoch: [81][10130/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.7600 (1.6245) Prec@1 55.000 (56.293) Prec@5 81.875 (84.726) Epoch: [81][10140/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.5176 (1.6245) Prec@1 58.125 (56.291) Prec@5 87.500 (84.726) Epoch: [81][10150/11272] Time 0.897 (0.774) Data 0.001 (0.002) Loss 1.8072 (1.6246) Prec@1 53.125 (56.288) Prec@5 82.500 (84.723) Epoch: [81][10160/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.6985 (1.6246) Prec@1 55.625 (56.288) Prec@5 85.625 (84.724) Epoch: [81][10170/11272] Time 0.737 (0.774) Data 0.002 (0.002) Loss 1.5309 (1.6246) Prec@1 54.375 (56.288) Prec@5 87.500 (84.724) Epoch: [81][10180/11272] Time 0.717 (0.774) Data 0.002 (0.002) Loss 1.5703 (1.6246) Prec@1 55.625 (56.286) Prec@5 84.375 (84.723) Epoch: [81][10190/11272] Time 0.785 (0.774) Data 0.001 (0.002) Loss 1.7639 (1.6247) Prec@1 51.875 (56.285) Prec@5 83.750 (84.722) Epoch: [81][10200/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.4217 (1.6246) Prec@1 59.375 (56.287) Prec@5 86.875 (84.724) Epoch: [81][10210/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.4468 (1.6246) Prec@1 65.625 (56.288) Prec@5 86.250 (84.724) Epoch: [81][10220/11272] Time 0.743 (0.774) Data 0.001 (0.002) Loss 1.7122 (1.6246) Prec@1 56.250 (56.291) Prec@5 82.500 (84.724) Epoch: [81][10230/11272] Time 0.861 (0.774) Data 0.002 (0.002) Loss 1.5700 (1.6246) Prec@1 61.875 (56.292) Prec@5 88.125 (84.724) Epoch: [81][10240/11272] Time 0.788 (0.774) Data 0.001 (0.002) Loss 1.4562 (1.6245) Prec@1 56.875 (56.294) Prec@5 86.875 (84.725) Epoch: [81][10250/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.6840 (1.6246) Prec@1 54.375 (56.292) Prec@5 81.250 (84.724) Epoch: [81][10260/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.6000 (1.6246) Prec@1 54.375 (56.292) Prec@5 83.750 (84.724) Epoch: [81][10270/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.6048 (1.6246) Prec@1 61.250 (56.291) Prec@5 82.500 (84.723) Epoch: [81][10280/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.2891 (1.6246) Prec@1 65.000 (56.292) Prec@5 89.375 (84.724) Epoch: [81][10290/11272] Time 0.746 (0.774) Data 0.002 (0.002) Loss 1.4959 (1.6246) Prec@1 59.375 (56.292) Prec@5 86.250 (84.724) Epoch: [81][10300/11272] Time 0.847 (0.774) Data 0.001 (0.002) Loss 1.6587 (1.6246) Prec@1 56.250 (56.291) Prec@5 85.625 (84.724) Epoch: [81][10310/11272] Time 0.847 (0.774) Data 0.001 (0.002) Loss 1.7039 (1.6246) Prec@1 58.750 (56.292) Prec@5 83.125 (84.725) Epoch: [81][10320/11272] Time 0.723 (0.774) Data 0.002 (0.002) Loss 1.4976 (1.6247) Prec@1 61.250 (56.290) Prec@5 86.250 (84.724) Epoch: [81][10330/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.8571 (1.6247) Prec@1 49.375 (56.289) Prec@5 81.250 (84.724) Epoch: [81][10340/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.8249 (1.6247) Prec@1 55.000 (56.288) Prec@5 78.750 (84.722) Epoch: [81][10350/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.7278 (1.6248) Prec@1 56.875 (56.287) Prec@5 86.250 (84.722) Epoch: [81][10360/11272] Time 0.767 (0.774) Data 0.002 (0.002) Loss 1.6883 (1.6248) Prec@1 49.375 (56.287) Prec@5 80.625 (84.721) Epoch: [81][10370/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.6818 (1.6247) Prec@1 52.500 (56.287) Prec@5 85.625 (84.722) Epoch: [81][10380/11272] Time 0.784 (0.774) Data 0.001 (0.002) Loss 1.7808 (1.6248) Prec@1 51.250 (56.287) Prec@5 81.875 (84.723) Epoch: [81][10390/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.4193 (1.6247) Prec@1 62.500 (56.288) Prec@5 88.750 (84.724) Epoch: [81][10400/11272] Time 0.696 (0.774) Data 0.001 (0.002) Loss 1.6674 (1.6248) Prec@1 53.125 (56.287) Prec@5 85.625 (84.723) Epoch: [81][10410/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.8643 (1.6248) Prec@1 51.875 (56.286) Prec@5 76.250 (84.723) Epoch: [81][10420/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.5218 (1.6248) Prec@1 53.750 (56.286) Prec@5 86.250 (84.724) Epoch: [81][10430/11272] Time 0.743 (0.774) Data 0.001 (0.002) Loss 1.5184 (1.6248) Prec@1 62.500 (56.287) Prec@5 83.750 (84.723) Epoch: [81][10440/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.8126 (1.6248) Prec@1 48.750 (56.286) Prec@5 82.500 (84.723) Epoch: [81][10450/11272] Time 0.857 (0.774) Data 0.001 (0.002) Loss 1.7280 (1.6248) Prec@1 54.375 (56.285) Prec@5 82.500 (84.722) Epoch: [81][10460/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.5989 (1.6249) Prec@1 58.750 (56.284) Prec@5 82.500 (84.720) Epoch: [81][10470/11272] Time 0.743 (0.774) Data 0.002 (0.002) Loss 1.5076 (1.6250) Prec@1 56.875 (56.281) Prec@5 89.375 (84.719) Epoch: [81][10480/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.4240 (1.6250) Prec@1 61.250 (56.280) Prec@5 90.625 (84.718) Epoch: [81][10490/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.5796 (1.6250) Prec@1 56.250 (56.280) Prec@5 84.375 (84.718) Epoch: [81][10500/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.5385 (1.6250) Prec@1 54.375 (56.280) Prec@5 88.125 (84.718) Epoch: [81][10510/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7444 (1.6250) Prec@1 53.125 (56.279) Prec@5 85.000 (84.717) Epoch: [81][10520/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.4278 (1.6250) Prec@1 66.250 (56.280) Prec@5 86.875 (84.718) Epoch: [81][10530/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.5900 (1.6250) Prec@1 58.125 (56.280) Prec@5 84.375 (84.718) Epoch: [81][10540/11272] Time 0.875 (0.774) Data 0.002 (0.002) Loss 1.5072 (1.6250) Prec@1 55.625 (56.279) Prec@5 89.375 (84.718) Epoch: [81][10550/11272] Time 0.732 (0.774) Data 0.002 (0.002) Loss 1.5786 (1.6251) Prec@1 61.250 (56.279) Prec@5 84.375 (84.717) Epoch: [81][10560/11272] Time 0.797 (0.774) Data 0.002 (0.002) Loss 1.5820 (1.6251) Prec@1 57.500 (56.280) Prec@5 86.875 (84.718) Epoch: [81][10570/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.5633 (1.6251) Prec@1 63.125 (56.280) Prec@5 83.750 (84.717) Epoch: [81][10580/11272] Time 0.688 (0.774) Data 0.001 (0.002) Loss 1.5244 (1.6251) Prec@1 55.625 (56.279) Prec@5 86.250 (84.717) Epoch: [81][10590/11272] Time 0.735 (0.774) Data 0.002 (0.002) Loss 1.5079 (1.6251) Prec@1 61.250 (56.281) Prec@5 85.625 (84.717) Epoch: [81][10600/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.5171 (1.6252) Prec@1 58.750 (56.279) Prec@5 83.125 (84.715) Epoch: [81][10610/11272] Time 0.871 (0.774) Data 0.002 (0.002) Loss 1.7444 (1.6252) Prec@1 54.375 (56.279) Prec@5 84.375 (84.715) Epoch: [81][10620/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.7640 (1.6252) Prec@1 53.125 (56.277) Prec@5 81.875 (84.714) Epoch: [81][10630/11272] Time 0.716 (0.774) Data 0.002 (0.002) Loss 1.7527 (1.6253) Prec@1 52.500 (56.276) Prec@5 78.125 (84.713) Epoch: [81][10640/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.7087 (1.6253) Prec@1 55.000 (56.275) Prec@5 83.125 (84.712) Epoch: [81][10650/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.8106 (1.6254) Prec@1 45.625 (56.274) Prec@5 84.375 (84.712) Epoch: [81][10660/11272] Time 0.688 (0.774) Data 0.001 (0.002) Loss 1.6088 (1.6254) Prec@1 55.625 (56.272) Prec@5 87.500 (84.711) Epoch: [81][10670/11272] Time 0.780 (0.774) Data 0.002 (0.002) Loss 1.7133 (1.6255) Prec@1 51.875 (56.270) Prec@5 85.625 (84.710) Epoch: [81][10680/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.5800 (1.6255) Prec@1 56.875 (56.269) Prec@5 88.750 (84.711) Epoch: [81][10690/11272] Time 0.733 (0.774) Data 0.003 (0.002) Loss 1.5393 (1.6255) Prec@1 60.625 (56.270) Prec@5 87.500 (84.711) Epoch: [81][10700/11272] Time 0.692 (0.774) Data 0.001 (0.002) Loss 1.8090 (1.6255) Prec@1 54.375 (56.270) Prec@5 79.375 (84.710) Epoch: [81][10710/11272] Time 0.829 (0.774) Data 0.002 (0.002) Loss 1.7474 (1.6256) Prec@1 50.000 (56.270) Prec@5 85.000 (84.709) Epoch: [81][10720/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.7413 (1.6255) Prec@1 53.125 (56.271) Prec@5 80.625 (84.710) Epoch: [81][10730/11272] Time 0.702 (0.774) Data 0.001 (0.002) Loss 1.8111 (1.6256) Prec@1 48.750 (56.268) Prec@5 83.125 (84.710) Epoch: [81][10740/11272] Time 0.749 (0.774) Data 0.002 (0.002) Loss 1.5698 (1.6256) Prec@1 57.500 (56.269) Prec@5 85.625 (84.710) Epoch: [81][10750/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.5651 (1.6255) Prec@1 56.875 (56.269) Prec@5 86.875 (84.710) Epoch: [81][10760/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.7089 (1.6256) Prec@1 55.000 (56.266) Prec@5 82.500 (84.710) Epoch: [81][10770/11272] Time 0.700 (0.774) Data 0.001 (0.002) Loss 1.8387 (1.6256) Prec@1 50.625 (56.266) Prec@5 81.250 (84.710) Epoch: [81][10780/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.6731 (1.6256) Prec@1 56.250 (56.264) Prec@5 81.875 (84.710) Epoch: [81][10790/11272] Time 0.843 (0.774) Data 0.002 (0.002) Loss 1.7598 (1.6257) Prec@1 53.750 (56.263) Prec@5 78.750 (84.708) Epoch: [81][10800/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.3999 (1.6257) Prec@1 58.125 (56.263) Prec@5 88.125 (84.709) Epoch: [81][10810/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.5105 (1.6257) Prec@1 55.625 (56.263) Prec@5 86.250 (84.709) Epoch: [81][10820/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6566 (1.6257) Prec@1 54.375 (56.261) Prec@5 84.375 (84.709) Epoch: [81][10830/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.3602 (1.6256) Prec@1 66.875 (56.264) Prec@5 86.875 (84.710) Epoch: [81][10840/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.6751 (1.6256) Prec@1 55.625 (56.266) Prec@5 80.625 (84.710) Epoch: [81][10850/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.8423 (1.6256) Prec@1 45.625 (56.263) Prec@5 83.125 (84.709) Epoch: [81][10860/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.6469 (1.6256) Prec@1 50.000 (56.264) Prec@5 83.750 (84.710) Epoch: [81][10870/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.7647 (1.6256) Prec@1 49.375 (56.263) Prec@5 83.125 (84.709) Epoch: [81][10880/11272] Time 0.693 (0.774) Data 0.001 (0.002) Loss 1.6445 (1.6257) Prec@1 54.375 (56.261) Prec@5 87.500 (84.709) Epoch: [81][10890/11272] Time 0.716 (0.774) Data 0.002 (0.002) Loss 1.4952 (1.6257) Prec@1 57.500 (56.259) Prec@5 85.625 (84.709) Epoch: [81][10900/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.4824 (1.6257) Prec@1 64.375 (56.260) Prec@5 86.875 (84.709) Epoch: [81][10910/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.6344 (1.6257) Prec@1 53.750 (56.260) Prec@5 83.125 (84.707) Epoch: [81][10920/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.7494 (1.6258) Prec@1 53.125 (56.257) Prec@5 81.875 (84.705) Epoch: [81][10930/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.9174 (1.6259) Prec@1 50.000 (56.255) Prec@5 80.625 (84.703) Epoch: [81][10940/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.4481 (1.6260) Prec@1 57.500 (56.253) Prec@5 89.375 (84.702) Epoch: [81][10950/11272] Time 0.740 (0.774) Data 0.003 (0.002) Loss 1.9202 (1.6260) Prec@1 53.750 (56.254) Prec@5 81.250 (84.702) Epoch: [81][10960/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.7940 (1.6260) Prec@1 51.875 (56.254) Prec@5 82.500 (84.703) Epoch: [81][10970/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.5499 (1.6260) Prec@1 55.625 (56.252) Prec@5 88.125 (84.703) Epoch: [81][10980/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.7200 (1.6260) Prec@1 51.875 (56.250) Prec@5 83.750 (84.702) Epoch: [81][10990/11272] Time 0.712 (0.774) Data 0.002 (0.002) Loss 1.8448 (1.6261) Prec@1 48.750 (56.250) Prec@5 84.375 (84.702) Epoch: [81][11000/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6589 (1.6261) Prec@1 58.125 (56.248) Prec@5 83.750 (84.701) Epoch: [81][11010/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.4925 (1.6262) Prec@1 61.250 (56.248) Prec@5 87.500 (84.700) Epoch: [81][11020/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.4432 (1.6262) Prec@1 60.625 (56.248) Prec@5 88.750 (84.700) Epoch: [81][11030/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.7800 (1.6262) Prec@1 53.750 (56.248) Prec@5 83.750 (84.701) Epoch: [81][11040/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.5654 (1.6262) Prec@1 54.375 (56.248) Prec@5 88.750 (84.701) Epoch: [81][11050/11272] Time 0.826 (0.774) Data 0.002 (0.002) Loss 1.3902 (1.6263) Prec@1 65.000 (56.247) Prec@5 89.375 (84.701) Epoch: [81][11060/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.7558 (1.6264) Prec@1 51.875 (56.245) Prec@5 81.875 (84.699) Epoch: [81][11070/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.7284 (1.6264) Prec@1 53.750 (56.245) Prec@5 81.250 (84.699) Epoch: [81][11080/11272] Time 0.838 (0.774) Data 0.002 (0.002) Loss 1.5930 (1.6264) Prec@1 49.375 (56.244) Prec@5 86.250 (84.699) Epoch: [81][11090/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5317 (1.6264) Prec@1 57.500 (56.245) Prec@5 88.750 (84.699) Epoch: [81][11100/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.6757 (1.6264) Prec@1 50.000 (56.244) Prec@5 82.500 (84.698) Epoch: [81][11110/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.6292 (1.6264) Prec@1 51.875 (56.244) Prec@5 83.750 (84.698) Epoch: [81][11120/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.6554 (1.6265) Prec@1 56.875 (56.242) Prec@5 84.375 (84.696) Epoch: [81][11130/11272] Time 0.808 (0.774) Data 0.002 (0.002) Loss 1.4175 (1.6265) Prec@1 60.000 (56.242) Prec@5 88.750 (84.696) Epoch: [81][11140/11272] Time 0.749 (0.774) Data 0.002 (0.002) Loss 1.5909 (1.6265) Prec@1 51.250 (56.241) Prec@5 88.750 (84.696) Epoch: [81][11150/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6104 (1.6265) Prec@1 53.125 (56.240) Prec@5 88.125 (84.695) Epoch: [81][11160/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.5376 (1.6265) Prec@1 58.125 (56.241) Prec@5 86.250 (84.697) Epoch: [81][11170/11272] Time 0.833 (0.774) Data 0.002 (0.002) Loss 1.3730 (1.6264) Prec@1 61.250 (56.242) Prec@5 86.875 (84.698) Epoch: [81][11180/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.4027 (1.6264) Prec@1 65.625 (56.243) Prec@5 90.000 (84.699) Epoch: [81][11190/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.7048 (1.6264) Prec@1 57.500 (56.245) Prec@5 83.125 (84.699) Epoch: [81][11200/11272] Time 0.825 (0.774) Data 0.002 (0.002) Loss 1.6065 (1.6264) Prec@1 58.125 (56.245) Prec@5 83.125 (84.699) Epoch: [81][11210/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.4622 (1.6264) Prec@1 59.375 (56.243) Prec@5 90.000 (84.699) Epoch: [81][11220/11272] Time 0.736 (0.774) Data 0.002 (0.002) Loss 1.6779 (1.6264) Prec@1 53.125 (56.243) Prec@5 85.000 (84.698) Epoch: [81][11230/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.5753 (1.6265) Prec@1 56.250 (56.240) Prec@5 85.625 (84.697) Epoch: [81][11240/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.5235 (1.6264) Prec@1 58.125 (56.240) Prec@5 85.000 (84.698) Epoch: [81][11250/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.8796 (1.6264) Prec@1 53.125 (56.240) Prec@5 82.500 (84.698) Epoch: [81][11260/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.5757 (1.6265) Prec@1 60.625 (56.240) Prec@5 85.000 (84.696) Epoch: [81][11270/11272] Time 0.790 (0.774) Data 0.000 (0.002) Loss 1.7858 (1.6265) Prec@1 53.750 (56.240) Prec@5 81.250 (84.696) Test: [0/229] Time 3.297 (3.297) Loss 0.9807 (0.9807) Prec@1 70.625 (70.625) Prec@5 95.625 (95.625) Test: [10/229] Time 0.338 (0.795) Loss 1.0148 (1.5725) Prec@1 71.875 (59.602) Prec@5 95.000 (87.330) Test: [20/229] Time 1.301 (0.724) Loss 2.0223 (1.6700) Prec@1 47.500 (55.685) Prec@5 81.875 (86.280) Test: [30/229] Time 0.325 (0.664) Loss 1.9245 (1.6135) Prec@1 47.500 (57.238) Prec@5 84.375 (86.855) Test: [40/229] Time 1.326 (0.662) Loss 0.4245 (1.5941) Prec@1 92.500 (57.561) Prec@5 95.625 (87.165) Test: [50/229] Time 0.578 (0.645) Loss 2.0919 (1.6551) Prec@1 38.125 (56.103) Prec@5 81.875 (85.784) Test: [60/229] Time 1.151 (0.642) Loss 2.2088 (1.6519) Prec@1 41.250 (56.219) Prec@5 84.375 (85.840) Test: [70/229] Time 0.532 (0.632) Loss 1.3299 (1.6656) Prec@1 67.500 (55.915) Prec@5 86.875 (85.704) Test: [80/229] Time 0.950 (0.631) Loss 2.0638 (1.6852) Prec@1 36.875 (55.031) Prec@5 87.500 (85.725) Test: [90/229] Time 0.418 (0.625) Loss 1.3345 (1.6927) Prec@1 69.375 (54.821) Prec@5 86.250 (85.680) Test: [100/229] Time 1.017 (0.628) Loss 2.2313 (1.6850) Prec@1 44.375 (55.161) Prec@5 81.250 (85.730) Test: [110/229] Time 0.309 (0.621) Loss 1.5763 (1.6674) Prec@1 59.375 (55.467) Prec@5 83.125 (85.850) Test: [120/229] Time 1.175 (0.623) Loss 2.7129 (1.6855) Prec@1 35.625 (54.985) Prec@5 75.000 (85.553) Test: [130/229] Time 0.338 (0.619) Loss 1.1038 (1.6663) Prec@1 66.875 (55.472) Prec@5 96.875 (85.773) Test: [140/229] Time 1.281 (0.621) Loss 1.8129 (1.6798) Prec@1 48.750 (55.080) Prec@5 82.500 (85.603) Test: [150/229] Time 0.326 (0.618) Loss 1.0508 (1.6907) Prec@1 76.250 (54.839) Prec@5 90.000 (85.443) Test: [160/229] Time 1.155 (0.619) Loss 1.9207 (1.6934) Prec@1 51.875 (54.689) Prec@5 84.375 (85.439) Test: [170/229] Time 0.469 (0.618) Loss 1.6984 (1.7038) Prec@1 51.250 (54.291) Prec@5 86.875 (85.322) Test: [180/229] Time 0.840 (0.618) Loss 2.4936 (1.7111) Prec@1 34.375 (54.247) Prec@5 68.750 (85.104) Test: [190/229] Time 0.469 (0.617) Loss 1.2709 (1.7022) Prec@1 60.625 (54.450) Prec@5 93.750 (85.173) Test: [200/229] Time 0.815 (0.616) Loss 1.6958 (1.6938) Prec@1 48.750 (54.568) Prec@5 86.875 (85.401) Test: [210/229] Time 0.526 (0.616) Loss 1.0703 (1.6817) Prec@1 73.750 (54.864) Prec@5 93.125 (85.551) Test: [220/229] Time 0.737 (0.615) Loss 1.4836 (1.6736) Prec@1 59.375 (55.147) Prec@5 89.375 (85.617) * Prec@1 55.428 Prec@5 85.672 Epoch: [82][0/11272] Time 4.634 (4.634) Data 3.763 (3.763) Loss 1.7183 (1.7183) Prec@1 51.250 (51.250) Prec@5 81.875 (81.875) Epoch: [82][10/11272] Time 0.822 (1.122) Data 0.001 (0.343) Loss 1.7831 (1.6406) Prec@1 50.625 (56.364) Prec@5 85.000 (85.000) Epoch: [82][20/11272] Time 0.718 (0.947) Data 0.003 (0.181) Loss 1.3364 (1.6117) Prec@1 65.000 (56.637) Prec@5 88.750 (84.851) Epoch: [82][30/11272] Time 0.721 (0.886) Data 0.001 (0.123) Loss 1.8495 (1.6228) Prec@1 48.125 (56.431) Prec@5 80.000 (84.375) Epoch: [82][40/11272] Time 0.814 (0.856) Data 0.001 (0.093) Loss 1.6466 (1.6229) Prec@1 55.000 (55.899) Prec@5 85.000 (84.405) Epoch: [82][50/11272] Time 0.814 (0.840) Data 0.001 (0.075) Loss 1.7326 (1.6211) Prec@1 52.500 (56.360) Prec@5 78.750 (84.350) Epoch: [82][60/11272] Time 0.693 (0.828) Data 0.001 (0.063) Loss 1.5252 (1.6167) Prec@1 58.125 (56.486) Prec@5 86.875 (84.416) Epoch: [82][70/11272] Time 0.695 (0.819) Data 0.001 (0.054) Loss 1.7873 (1.6214) Prec@1 51.250 (56.268) Prec@5 80.625 (84.401) Epoch: [82][80/11272] Time 0.784 (0.813) Data 0.001 (0.048) Loss 1.6003 (1.6247) Prec@1 58.125 (56.273) Prec@5 83.125 (84.360) Epoch: [82][90/11272] Time 0.808 (0.808) Data 0.001 (0.043) Loss 1.5564 (1.6201) Prec@1 60.625 (56.312) Prec@5 82.500 (84.526) Epoch: [82][100/11272] Time 0.716 (0.804) Data 0.001 (0.039) Loss 1.4723 (1.6231) Prec@1 56.875 (56.207) Prec@5 89.375 (84.548) Epoch: [82][110/11272] Time 0.711 (0.801) Data 0.001 (0.035) Loss 1.5381 (1.6187) Prec@1 59.375 (56.301) Prec@5 85.625 (84.662) Epoch: [82][120/11272] Time 0.860 (0.799) Data 0.002 (0.033) Loss 1.6469 (1.6237) Prec@1 53.750 (56.126) Prec@5 83.125 (84.613) Epoch: [82][130/11272] Time 0.815 (0.797) Data 0.001 (0.030) Loss 1.4655 (1.6208) Prec@1 59.375 (56.226) Prec@5 86.875 (84.614) Epoch: [82][140/11272] Time 0.729 (0.794) Data 0.001 (0.028) Loss 1.5947 (1.6184) Prec@1 53.125 (56.277) Prec@5 86.875 (84.699) Epoch: [82][150/11272] Time 0.830 (0.792) Data 0.001 (0.026) Loss 1.4587 (1.6145) Prec@1 61.875 (56.420) Prec@5 86.250 (84.739) Epoch: [82][160/11272] Time 0.842 (0.792) Data 0.002 (0.025) Loss 1.7524 (1.6125) Prec@1 53.125 (56.467) Prec@5 84.375 (84.775) Epoch: [82][170/11272] Time 0.719 (0.791) Data 0.001 (0.023) Loss 1.7679 (1.6113) Prec@1 56.875 (56.597) Prec@5 83.750 (84.762) Epoch: [82][180/11272] Time 0.711 (0.790) Data 0.002 (0.022) Loss 1.4946 (1.6114) Prec@1 62.500 (56.713) Prec@5 85.625 (84.748) Epoch: [82][190/11272] Time 0.828 (0.790) Data 0.001 (0.021) Loss 1.5173 (1.6094) Prec@1 66.875 (56.816) Prec@5 89.375 (84.807) Epoch: [82][200/11272] Time 0.830 (0.789) Data 0.002 (0.020) Loss 1.7838 (1.6105) Prec@1 51.875 (56.766) Prec@5 80.625 (84.798) Epoch: [82][210/11272] Time 0.753 (0.789) Data 0.002 (0.019) Loss 1.7985 (1.6146) Prec@1 52.500 (56.691) Prec@5 83.125 (84.790) Epoch: [82][220/11272] Time 0.718 (0.788) Data 0.002 (0.018) Loss 1.5941 (1.6152) Prec@1 56.250 (56.671) Prec@5 84.375 (84.816) Epoch: [82][230/11272] Time 0.822 (0.787) Data 0.001 (0.018) Loss 1.4458 (1.6136) Prec@1 61.250 (56.659) Prec@5 87.500 (84.835) Epoch: [82][240/11272] Time 0.809 (0.787) Data 0.002 (0.017) Loss 1.6208 (1.6114) Prec@1 60.000 (56.719) Prec@5 85.000 (84.831) Epoch: [82][250/11272] Time 0.713 (0.787) Data 0.001 (0.016) Loss 1.3352 (1.6103) Prec@1 63.125 (56.795) Prec@5 91.250 (84.828) Epoch: [82][260/11272] Time 0.683 (0.787) Data 0.001 (0.016) Loss 1.5490 (1.6110) Prec@1 60.625 (56.777) Prec@5 85.625 (84.837) Epoch: [82][270/11272] Time 0.815 (0.786) Data 0.001 (0.015) Loss 1.5348 (1.6115) Prec@1 60.625 (56.801) Prec@5 82.500 (84.820) Epoch: [82][280/11272] Time 0.839 (0.786) Data 0.002 (0.015) Loss 1.6319 (1.6114) Prec@1 58.125 (56.842) Prec@5 82.500 (84.809) Epoch: [82][290/11272] Time 0.732 (0.786) Data 0.001 (0.014) Loss 1.3883 (1.6124) Prec@1 58.125 (56.832) Prec@5 89.375 (84.809) Epoch: [82][300/11272] Time 0.800 (0.785) Data 0.001 (0.014) Loss 1.6167 (1.6120) Prec@1 56.875 (56.867) Prec@5 84.375 (84.815) Epoch: [82][310/11272] Time 0.851 (0.784) Data 0.001 (0.014) Loss 1.6458 (1.6120) Prec@1 56.875 (56.871) Prec@5 84.375 (84.839) Epoch: [82][320/11272] Time 0.708 (0.783) Data 0.001 (0.013) Loss 1.5751 (1.6114) Prec@1 57.500 (56.861) Prec@5 88.125 (84.873) Epoch: [82][330/11272] Time 0.710 (0.783) Data 0.002 (0.013) Loss 1.6702 (1.6110) Prec@1 53.750 (56.901) Prec@5 83.750 (84.892) Epoch: [82][340/11272] Time 0.817 (0.784) Data 0.001 (0.012) Loss 1.6714 (1.6102) Prec@1 55.000 (56.893) Prec@5 81.250 (84.886) Epoch: [82][350/11272] Time 0.790 (0.783) Data 0.001 (0.012) Loss 1.5977 (1.6087) Prec@1 57.500 (56.895) Prec@5 86.250 (84.897) Epoch: [82][360/11272] Time 0.719 (0.783) Data 0.001 (0.012) Loss 1.6081 (1.6086) Prec@1 56.875 (56.882) Prec@5 85.625 (84.887) Epoch: [82][370/11272] Time 0.728 (0.783) Data 0.001 (0.012) Loss 1.7646 (1.6098) Prec@1 50.625 (56.845) Prec@5 80.625 (84.875) Epoch: [82][380/11272] Time 0.830 (0.783) Data 0.001 (0.011) Loss 1.5557 (1.6103) Prec@1 59.375 (56.868) Prec@5 85.625 (84.843) Epoch: [82][390/11272] Time 0.798 (0.782) Data 0.002 (0.011) Loss 1.5269 (1.6104) Prec@1 55.625 (56.889) Prec@5 86.250 (84.847) Epoch: [82][400/11272] Time 0.721 (0.782) Data 0.001 (0.011) Loss 1.8446 (1.6115) Prec@1 50.000 (56.836) Prec@5 81.250 (84.853) Epoch: [82][410/11272] Time 0.709 (0.781) Data 0.001 (0.011) Loss 1.7651 (1.6118) Prec@1 54.375 (56.820) Prec@5 80.625 (84.854) Epoch: [82][420/11272] Time 0.838 (0.781) Data 0.001 (0.010) Loss 1.3483 (1.6124) Prec@1 63.750 (56.790) Prec@5 86.250 (84.847) Epoch: [82][430/11272] Time 0.689 (0.780) Data 0.001 (0.010) Loss 1.7223 (1.6113) Prec@1 56.875 (56.818) Prec@5 85.000 (84.881) Epoch: [82][440/11272] Time 0.705 (0.780) Data 0.001 (0.010) Loss 1.7065 (1.6107) Prec@1 57.500 (56.817) Prec@5 79.375 (84.889) Epoch: [82][450/11272] Time 0.834 (0.780) Data 0.001 (0.010) Loss 1.4398 (1.6097) Prec@1 58.750 (56.850) Prec@5 85.000 (84.907) Epoch: [82][460/11272] Time 0.818 (0.780) Data 0.001 (0.010) Loss 1.5462 (1.6102) Prec@1 58.125 (56.826) Prec@5 81.875 (84.879) Epoch: [82][470/11272] Time 0.720 (0.780) Data 0.002 (0.009) Loss 1.3556 (1.6102) Prec@1 65.625 (56.807) Prec@5 86.250 (84.885) Epoch: [82][480/11272] Time 0.732 (0.780) Data 0.002 (0.009) Loss 1.4820 (1.6090) Prec@1 60.000 (56.845) Prec@5 88.125 (84.900) Epoch: [82][490/11272] Time 0.843 (0.780) Data 0.002 (0.009) Loss 1.7174 (1.6074) Prec@1 55.625 (56.889) Prec@5 80.625 (84.921) Epoch: [82][500/11272] Time 0.837 (0.780) Data 0.003 (0.009) Loss 1.6261 (1.6070) Prec@1 56.250 (56.887) Prec@5 82.500 (84.936) Epoch: [82][510/11272] Time 0.725 (0.780) Data 0.001 (0.009) Loss 1.8003 (1.6079) Prec@1 50.000 (56.866) Prec@5 79.375 (84.917) Epoch: [82][520/11272] Time 0.720 (0.780) Data 0.001 (0.009) Loss 1.6031 (1.6066) Prec@1 55.000 (56.861) Prec@5 85.000 (84.947) Epoch: [82][530/11272] Time 0.832 (0.780) Data 0.001 (0.009) Loss 1.3844 (1.6050) Prec@1 61.875 (56.897) Prec@5 88.125 (84.978) Epoch: [82][540/11272] Time 0.813 (0.780) Data 0.002 (0.008) Loss 1.8163 (1.6064) Prec@1 50.625 (56.880) Prec@5 86.875 (84.964) Epoch: [82][550/11272] Time 0.708 (0.780) Data 0.002 (0.008) Loss 1.3831 (1.6049) Prec@1 60.000 (56.925) Prec@5 90.000 (84.990) Epoch: [82][560/11272] Time 0.849 (0.780) Data 0.002 (0.008) Loss 1.6218 (1.6048) Prec@1 56.875 (56.931) Prec@5 81.875 (84.978) Epoch: [82][570/11272] Time 0.801 (0.780) Data 0.001 (0.008) Loss 1.4806 (1.6050) Prec@1 63.125 (56.930) Prec@5 85.625 (84.955) Epoch: [82][580/11272] Time 0.712 (0.779) Data 0.001 (0.008) Loss 1.3230 (1.6049) Prec@1 62.500 (56.929) Prec@5 88.125 (84.967) Epoch: [82][590/11272] Time 0.736 (0.779) Data 0.001 (0.008) Loss 1.7229 (1.6049) Prec@1 49.375 (56.930) Prec@5 85.000 (84.968) Epoch: [82][600/11272] Time 0.843 (0.779) Data 0.001 (0.008) Loss 1.7597 (1.6048) Prec@1 53.750 (56.943) Prec@5 85.000 (84.970) Epoch: [82][610/11272] Time 0.818 (0.779) Data 0.001 (0.008) Loss 1.5619 (1.6049) Prec@1 60.625 (56.938) Prec@5 86.875 (84.971) Epoch: [82][620/11272] Time 0.719 (0.779) Data 0.001 (0.008) Loss 1.5331 (1.6052) Prec@1 57.500 (56.925) Prec@5 86.875 (84.968) Epoch: [82][630/11272] Time 0.711 (0.779) Data 0.001 (0.007) Loss 1.7005 (1.6047) Prec@1 56.250 (56.939) Prec@5 81.875 (84.973) Epoch: [82][640/11272] Time 0.781 (0.779) Data 0.001 (0.007) Loss 1.6251 (1.6047) Prec@1 55.000 (56.938) Prec@5 87.500 (84.967) Epoch: [82][650/11272] Time 0.832 (0.779) Data 0.001 (0.007) Loss 1.5824 (1.6041) Prec@1 54.375 (56.963) Prec@5 86.875 (84.963) Epoch: [82][660/11272] Time 0.708 (0.779) Data 0.001 (0.007) Loss 1.6290 (1.6047) Prec@1 51.250 (56.936) Prec@5 87.500 (84.945) Epoch: [82][670/11272] Time 0.704 (0.779) Data 0.001 (0.007) Loss 1.5645 (1.6037) Prec@1 55.000 (56.936) Prec@5 85.625 (84.967) Epoch: [82][680/11272] Time 0.847 (0.778) Data 0.002 (0.007) Loss 1.5527 (1.6039) Prec@1 55.625 (56.904) Prec@5 85.625 (84.964) Epoch: [82][690/11272] Time 0.701 (0.778) Data 0.002 (0.007) Loss 1.4181 (1.6033) Prec@1 63.125 (56.907) Prec@5 88.125 (84.978) Epoch: [82][700/11272] Time 0.709 (0.778) Data 0.001 (0.007) Loss 1.8065 (1.6041) Prec@1 51.250 (56.865) Prec@5 83.125 (84.964) Epoch: [82][710/11272] Time 0.804 (0.778) Data 0.001 (0.007) Loss 2.0476 (1.6042) Prec@1 47.500 (56.873) Prec@5 79.375 (84.965) Epoch: [82][720/11272] Time 0.801 (0.777) Data 0.002 (0.007) Loss 1.5514 (1.6041) Prec@1 60.000 (56.870) Prec@5 85.000 (84.958) Epoch: [82][730/11272] Time 0.709 (0.777) Data 0.002 (0.007) Loss 1.4916 (1.6037) Prec@1 53.125 (56.867) Prec@5 86.875 (84.965) Epoch: [82][740/11272] Time 0.743 (0.777) Data 0.001 (0.007) Loss 1.6034 (1.6040) Prec@1 58.125 (56.845) Prec@5 85.625 (84.970) Epoch: [82][750/11272] Time 0.793 (0.777) Data 0.001 (0.006) Loss 1.5173 (1.6033) Prec@1 59.375 (56.864) Prec@5 86.875 (84.980) Epoch: [82][760/11272] Time 0.832 (0.777) Data 0.002 (0.006) Loss 1.7790 (1.6040) Prec@1 51.875 (56.854) Prec@5 81.875 (84.967) Epoch: [82][770/11272] Time 0.735 (0.777) Data 0.002 (0.006) Loss 1.6606 (1.6040) Prec@1 51.875 (56.830) Prec@5 82.500 (84.973) Epoch: [82][780/11272] Time 0.728 (0.777) Data 0.001 (0.006) Loss 1.6744 (1.6045) Prec@1 56.250 (56.822) Prec@5 83.125 (84.957) Epoch: [82][790/11272] Time 0.807 (0.778) Data 0.001 (0.006) Loss 1.5659 (1.6042) Prec@1 56.875 (56.833) Prec@5 84.375 (84.964) Epoch: [82][800/11272] Time 0.801 (0.778) Data 0.001 (0.006) Loss 1.5300 (1.6043) Prec@1 55.625 (56.837) Prec@5 85.000 (84.956) Epoch: [82][810/11272] Time 0.682 (0.777) Data 0.001 (0.006) Loss 1.6530 (1.6040) Prec@1 54.375 (56.846) Prec@5 86.875 (84.968) Epoch: [82][820/11272] Time 0.861 (0.778) Data 0.001 (0.006) Loss 1.6235 (1.6042) Prec@1 55.000 (56.846) Prec@5 81.875 (84.956) Epoch: [82][830/11272] Time 0.792 (0.778) Data 0.001 (0.006) Loss 1.6343 (1.6043) Prec@1 53.750 (56.831) Prec@5 84.375 (84.960) Epoch: [82][840/11272] Time 0.719 (0.777) Data 0.001 (0.006) Loss 1.5823 (1.6045) Prec@1 59.375 (56.818) Prec@5 87.500 (84.968) Epoch: [82][850/11272] Time 0.697 (0.777) Data 0.001 (0.006) Loss 1.7124 (1.6053) Prec@1 54.375 (56.793) Prec@5 83.750 (84.954) Epoch: [82][860/11272] Time 0.840 (0.777) Data 0.002 (0.006) Loss 1.4518 (1.6055) Prec@1 55.000 (56.786) Prec@5 89.375 (84.941) Epoch: [82][870/11272] Time 0.843 (0.777) Data 0.002 (0.006) Loss 1.5817 (1.6055) Prec@1 55.625 (56.777) Prec@5 87.500 (84.935) Epoch: [82][880/11272] Time 0.721 (0.777) Data 0.002 (0.006) Loss 1.3112 (1.6059) Prec@1 64.375 (56.752) Prec@5 91.250 (84.928) Epoch: [82][890/11272] Time 0.779 (0.777) Data 0.002 (0.006) Loss 1.6994 (1.6060) Prec@1 53.750 (56.750) Prec@5 82.500 (84.929) Epoch: [82][900/11272] Time 0.823 (0.777) Data 0.002 (0.006) Loss 1.5761 (1.6057) Prec@1 58.750 (56.767) Prec@5 81.875 (84.923) Epoch: [82][910/11272] Time 0.817 (0.777) Data 0.001 (0.006) Loss 1.5512 (1.6051) Prec@1 57.500 (56.784) Prec@5 88.125 (84.932) Epoch: [82][920/11272] Time 0.714 (0.777) Data 0.001 (0.006) Loss 1.5849 (1.6056) Prec@1 59.375 (56.774) Prec@5 88.125 (84.930) Epoch: [82][930/11272] Time 0.705 (0.777) Data 0.001 (0.006) Loss 2.0103 (1.6059) Prec@1 45.625 (56.758) Prec@5 77.500 (84.920) Epoch: [82][940/11272] Time 0.819 (0.777) Data 0.001 (0.005) Loss 1.8030 (1.6067) Prec@1 51.875 (56.732) Prec@5 81.875 (84.908) Epoch: [82][950/11272] Time 0.703 (0.777) Data 0.003 (0.005) Loss 1.5128 (1.6066) Prec@1 58.125 (56.719) Prec@5 86.250 (84.922) Epoch: [82][960/11272] Time 0.730 (0.777) Data 0.002 (0.005) Loss 1.5937 (1.6064) Prec@1 58.750 (56.723) Prec@5 86.250 (84.925) Epoch: [82][970/11272] Time 0.818 (0.777) Data 0.001 (0.005) Loss 1.7386 (1.6069) Prec@1 46.250 (56.704) Prec@5 84.375 (84.923) Epoch: [82][980/11272] Time 0.848 (0.777) Data 0.001 (0.005) Loss 1.4556 (1.6069) Prec@1 61.250 (56.704) Prec@5 88.750 (84.927) Epoch: [82][990/11272] Time 0.696 (0.777) Data 0.002 (0.005) Loss 1.6949 (1.6070) Prec@1 51.875 (56.703) Prec@5 83.125 (84.917) Epoch: [82][1000/11272] Time 0.730 (0.777) Data 0.001 (0.005) Loss 1.6214 (1.6069) Prec@1 56.875 (56.725) Prec@5 83.125 (84.914) Epoch: [82][1010/11272] Time 0.866 (0.777) Data 0.001 (0.005) Loss 1.6723 (1.6069) Prec@1 55.000 (56.724) Prec@5 85.000 (84.914) Epoch: [82][1020/11272] Time 0.829 (0.777) Data 0.001 (0.005) Loss 1.4353 (1.6073) Prec@1 61.875 (56.722) Prec@5 88.125 (84.906) Epoch: [82][1030/11272] Time 0.719 (0.777) Data 0.001 (0.005) Loss 1.7322 (1.6074) Prec@1 54.375 (56.714) Prec@5 76.875 (84.899) Epoch: [82][1040/11272] Time 0.719 (0.777) Data 0.001 (0.005) Loss 1.7201 (1.6073) Prec@1 59.375 (56.734) Prec@5 81.875 (84.894) Epoch: [82][1050/11272] Time 0.828 (0.777) Data 0.002 (0.005) Loss 1.9185 (1.6084) Prec@1 50.000 (56.703) Prec@5 80.625 (84.882) Epoch: [82][1060/11272] Time 0.819 (0.777) Data 0.001 (0.005) Loss 1.7729 (1.6086) Prec@1 51.250 (56.684) Prec@5 82.500 (84.888) Epoch: [82][1070/11272] Time 0.714 (0.777) Data 0.001 (0.005) Loss 1.4200 (1.6082) Prec@1 55.625 (56.706) Prec@5 89.375 (84.898) Epoch: [82][1080/11272] Time 0.834 (0.777) Data 0.002 (0.005) Loss 1.4805 (1.6077) Prec@1 59.375 (56.695) Prec@5 85.625 (84.902) Epoch: [82][1090/11272] Time 0.813 (0.777) Data 0.001 (0.005) Loss 1.7182 (1.6075) Prec@1 57.500 (56.700) Prec@5 80.000 (84.905) Epoch: [82][1100/11272] Time 0.714 (0.777) Data 0.001 (0.005) Loss 1.6778 (1.6078) Prec@1 52.500 (56.683) Prec@5 85.000 (84.905) Epoch: [82][1110/11272] Time 0.710 (0.777) Data 0.002 (0.005) Loss 1.5655 (1.6085) Prec@1 56.875 (56.663) Prec@5 86.250 (84.887) Epoch: [82][1120/11272] Time 0.813 (0.777) Data 0.001 (0.005) Loss 1.3765 (1.6086) Prec@1 63.750 (56.661) Prec@5 87.500 (84.885) Epoch: [82][1130/11272] Time 0.806 (0.777) Data 0.001 (0.005) Loss 1.3671 (1.6084) Prec@1 62.500 (56.662) Prec@5 90.625 (84.892) Epoch: [82][1140/11272] Time 0.715 (0.777) Data 0.002 (0.005) Loss 1.6274 (1.6077) Prec@1 53.750 (56.675) Prec@5 85.000 (84.905) Epoch: [82][1150/11272] Time 0.713 (0.776) Data 0.001 (0.005) Loss 1.5578 (1.6076) Prec@1 58.750 (56.684) Prec@5 84.375 (84.909) Epoch: [82][1160/11272] Time 0.834 (0.776) Data 0.002 (0.005) Loss 1.7663 (1.6082) Prec@1 56.875 (56.670) Prec@5 82.500 (84.902) Epoch: [82][1170/11272] Time 0.801 (0.776) Data 0.001 (0.005) Loss 1.5755 (1.6083) Prec@1 58.750 (56.684) Prec@5 86.250 (84.896) Epoch: [82][1180/11272] Time 0.709 (0.776) Data 0.001 (0.005) Loss 1.6299 (1.6080) Prec@1 57.500 (56.695) Prec@5 83.750 (84.903) Epoch: [82][1190/11272] Time 0.704 (0.776) Data 0.001 (0.005) Loss 1.3925 (1.6070) Prec@1 63.750 (56.718) Prec@5 88.750 (84.919) Epoch: [82][1200/11272] Time 0.818 (0.776) Data 0.001 (0.005) Loss 1.6887 (1.6069) Prec@1 58.125 (56.727) Prec@5 83.125 (84.917) Epoch: [82][1210/11272] Time 0.855 (0.776) Data 0.002 (0.005) Loss 1.6695 (1.6066) Prec@1 53.750 (56.725) Prec@5 84.375 (84.923) Epoch: [82][1220/11272] Time 0.725 (0.776) Data 0.001 (0.005) Loss 1.5297 (1.6071) Prec@1 59.375 (56.707) Prec@5 83.125 (84.911) Epoch: [82][1230/11272] Time 0.842 (0.776) Data 0.001 (0.005) Loss 1.6029 (1.6068) Prec@1 56.250 (56.717) Prec@5 86.875 (84.914) Epoch: [82][1240/11272] Time 0.913 (0.776) Data 0.002 (0.005) Loss 1.4741 (1.6065) Prec@1 63.750 (56.725) Prec@5 87.500 (84.926) Epoch: [82][1250/11272] Time 0.725 (0.776) Data 0.002 (0.004) Loss 1.6163 (1.6065) Prec@1 56.875 (56.715) Prec@5 82.500 (84.924) Epoch: [82][1260/11272] Time 0.725 (0.776) Data 0.001 (0.004) Loss 1.5126 (1.6066) Prec@1 59.375 (56.705) Prec@5 86.875 (84.926) Epoch: [82][1270/11272] Time 0.826 (0.777) Data 0.002 (0.004) Loss 1.6760 (1.6060) Prec@1 56.250 (56.717) Prec@5 82.500 (84.938) Epoch: [82][1280/11272] Time 0.801 (0.776) Data 0.001 (0.004) Loss 1.6210 (1.6056) Prec@1 58.125 (56.728) Prec@5 83.125 (84.940) Epoch: [82][1290/11272] Time 0.713 (0.776) Data 0.001 (0.004) Loss 1.4876 (1.6053) Prec@1 55.000 (56.722) Prec@5 88.125 (84.949) Epoch: [82][1300/11272] Time 0.718 (0.776) Data 0.001 (0.004) Loss 1.6827 (1.6055) Prec@1 59.375 (56.717) Prec@5 83.750 (84.947) Epoch: [82][1310/11272] Time 0.838 (0.776) Data 0.001 (0.004) Loss 1.8114 (1.6058) Prec@1 53.750 (56.711) Prec@5 81.250 (84.943) Epoch: [82][1320/11272] Time 0.808 (0.776) Data 0.001 (0.004) Loss 1.7313 (1.6061) Prec@1 55.000 (56.710) Prec@5 83.125 (84.940) Epoch: [82][1330/11272] Time 0.719 (0.776) Data 0.001 (0.004) Loss 1.6500 (1.6059) Prec@1 56.875 (56.715) Prec@5 85.000 (84.938) Epoch: [82][1340/11272] Time 0.712 (0.776) Data 0.001 (0.004) Loss 1.6410 (1.6055) Prec@1 53.750 (56.721) Prec@5 83.750 (84.944) Epoch: [82][1350/11272] Time 0.811 (0.776) Data 0.001 (0.004) Loss 1.7181 (1.6061) Prec@1 55.000 (56.715) Prec@5 85.000 (84.935) Epoch: [82][1360/11272] Time 0.734 (0.776) Data 0.001 (0.004) Loss 1.7099 (1.6062) Prec@1 55.000 (56.713) Prec@5 83.125 (84.932) Epoch: [82][1370/11272] Time 0.709 (0.776) Data 0.002 (0.004) Loss 1.9448 (1.6064) Prec@1 50.000 (56.702) Prec@5 78.125 (84.925) Epoch: [82][1380/11272] Time 0.830 (0.776) Data 0.001 (0.004) Loss 1.4370 (1.6066) Prec@1 61.875 (56.692) Prec@5 86.250 (84.929) Epoch: [82][1390/11272] Time 0.838 (0.776) Data 0.002 (0.004) Loss 1.7156 (1.6066) Prec@1 56.250 (56.685) Prec@5 81.250 (84.928) Epoch: [82][1400/11272] Time 0.708 (0.776) Data 0.001 (0.004) Loss 1.6264 (1.6066) Prec@1 57.500 (56.690) Prec@5 83.750 (84.927) Epoch: [82][1410/11272] Time 0.737 (0.776) Data 0.001 (0.004) Loss 1.5505 (1.6061) Prec@1 52.500 (56.696) Prec@5 86.250 (84.937) Epoch: [82][1420/11272] Time 0.816 (0.776) Data 0.001 (0.004) Loss 1.6306 (1.6062) Prec@1 58.125 (56.700) Prec@5 84.375 (84.932) Epoch: [82][1430/11272] Time 0.817 (0.776) Data 0.002 (0.004) Loss 1.8537 (1.6065) Prec@1 54.375 (56.699) Prec@5 80.000 (84.914) Epoch: [82][1440/11272] Time 0.730 (0.776) Data 0.002 (0.004) Loss 1.6244 (1.6061) Prec@1 51.875 (56.705) Prec@5 84.375 (84.918) Epoch: [82][1450/11272] Time 0.744 (0.776) Data 0.001 (0.004) Loss 1.5467 (1.6058) Prec@1 63.125 (56.721) Prec@5 83.125 (84.920) Epoch: [82][1460/11272] Time 0.875 (0.776) Data 0.002 (0.004) Loss 1.4064 (1.6057) Prec@1 61.250 (56.730) Prec@5 90.625 (84.926) Epoch: [82][1470/11272] Time 0.855 (0.776) Data 0.001 (0.004) Loss 1.5283 (1.6057) Prec@1 58.750 (56.729) Prec@5 85.625 (84.931) Epoch: [82][1480/11272] Time 0.704 (0.776) Data 0.002 (0.004) Loss 1.6468 (1.6055) Prec@1 53.750 (56.730) Prec@5 84.375 (84.935) Epoch: [82][1490/11272] Time 0.855 (0.776) Data 0.002 (0.004) Loss 1.7902 (1.6064) Prec@1 54.375 (56.719) Prec@5 79.375 (84.913) Epoch: [82][1500/11272] Time 0.882 (0.776) Data 0.002 (0.004) Loss 1.7224 (1.6066) Prec@1 56.250 (56.714) Prec@5 84.375 (84.910) Epoch: [82][1510/11272] Time 0.720 (0.776) Data 0.001 (0.004) Loss 1.6928 (1.6065) Prec@1 46.875 (56.709) Prec@5 88.125 (84.912) Epoch: [82][1520/11272] Time 0.715 (0.776) Data 0.001 (0.004) Loss 1.7121 (1.6068) Prec@1 56.250 (56.703) Prec@5 82.500 (84.903) Epoch: [82][1530/11272] Time 0.823 (0.776) Data 0.001 (0.004) Loss 1.6224 (1.6065) Prec@1 56.250 (56.710) Prec@5 82.500 (84.909) Epoch: [82][1540/11272] Time 0.807 (0.776) Data 0.001 (0.004) Loss 1.6854 (1.6065) Prec@1 60.625 (56.716) Prec@5 84.375 (84.910) Epoch: [82][1550/11272] Time 0.714 (0.776) Data 0.001 (0.004) Loss 1.6238 (1.6066) Prec@1 55.000 (56.714) Prec@5 83.125 (84.909) Epoch: [82][1560/11272] Time 0.725 (0.776) Data 0.001 (0.004) Loss 1.6283 (1.6071) Prec@1 54.375 (56.698) Prec@5 84.375 (84.905) Epoch: [82][1570/11272] Time 0.810 (0.776) Data 0.001 (0.004) Loss 1.6929 (1.6070) Prec@1 56.875 (56.706) Prec@5 82.500 (84.908) Epoch: [82][1580/11272] Time 0.853 (0.776) Data 0.001 (0.004) Loss 1.4537 (1.6070) Prec@1 61.250 (56.708) Prec@5 86.250 (84.905) Epoch: [82][1590/11272] Time 0.720 (0.776) Data 0.001 (0.004) Loss 1.5683 (1.6071) Prec@1 56.875 (56.698) Prec@5 84.375 (84.911) Epoch: [82][1600/11272] Time 0.733 (0.776) Data 0.001 (0.004) Loss 1.4621 (1.6075) Prec@1 58.750 (56.700) Prec@5 84.375 (84.906) Epoch: [82][1610/11272] Time 0.828 (0.776) Data 0.001 (0.004) Loss 1.5821 (1.6077) Prec@1 58.750 (56.699) Prec@5 84.375 (84.900) Epoch: [82][1620/11272] Time 0.728 (0.776) Data 0.003 (0.004) Loss 1.4424 (1.6075) Prec@1 55.625 (56.699) Prec@5 89.375 (84.904) Epoch: [82][1630/11272] Time 0.756 (0.776) Data 0.001 (0.004) Loss 1.4498 (1.6074) Prec@1 60.000 (56.705) Prec@5 86.875 (84.911) Epoch: [82][1640/11272] Time 0.825 (0.776) Data 0.002 (0.004) Loss 1.5404 (1.6073) Prec@1 61.250 (56.705) Prec@5 88.125 (84.911) Epoch: [82][1650/11272] Time 0.825 (0.776) Data 0.002 (0.004) Loss 1.5091 (1.6069) Prec@1 56.250 (56.713) Prec@5 86.250 (84.919) Epoch: [82][1660/11272] Time 0.714 (0.776) Data 0.002 (0.004) Loss 1.6731 (1.6070) Prec@1 53.750 (56.707) Prec@5 86.875 (84.919) Epoch: [82][1670/11272] Time 0.719 (0.776) Data 0.001 (0.004) Loss 1.5726 (1.6067) Prec@1 53.750 (56.717) Prec@5 86.875 (84.925) Epoch: [82][1680/11272] Time 0.819 (0.776) Data 0.001 (0.004) Loss 1.4726 (1.6068) Prec@1 58.750 (56.720) Prec@5 86.875 (84.923) Epoch: [82][1690/11272] Time 0.820 (0.776) Data 0.001 (0.004) Loss 1.7258 (1.6067) Prec@1 53.750 (56.713) Prec@5 81.250 (84.928) Epoch: [82][1700/11272] Time 0.702 (0.776) Data 0.001 (0.004) Loss 1.6753 (1.6063) Prec@1 53.750 (56.724) Prec@5 85.000 (84.935) Epoch: [82][1710/11272] Time 0.723 (0.776) Data 0.001 (0.004) Loss 1.6649 (1.6069) Prec@1 56.875 (56.715) Prec@5 83.125 (84.924) Epoch: [82][1720/11272] Time 0.854 (0.776) Data 0.001 (0.004) Loss 1.4463 (1.6069) Prec@1 64.375 (56.712) Prec@5 86.875 (84.926) Epoch: [82][1730/11272] Time 0.814 (0.775) Data 0.001 (0.004) Loss 1.8139 (1.6065) Prec@1 49.375 (56.718) Prec@5 81.875 (84.931) Epoch: [82][1740/11272] Time 0.711 (0.775) Data 0.001 (0.004) Loss 1.7994 (1.6068) Prec@1 51.250 (56.708) Prec@5 78.750 (84.924) Epoch: [82][1750/11272] Time 0.822 (0.776) Data 0.002 (0.004) Loss 1.4285 (1.6068) Prec@1 61.250 (56.710) Prec@5 88.750 (84.920) Epoch: [82][1760/11272] Time 0.804 (0.775) Data 0.001 (0.004) Loss 1.4524 (1.6067) Prec@1 59.375 (56.712) Prec@5 85.000 (84.920) Epoch: [82][1770/11272] Time 0.712 (0.775) Data 0.001 (0.004) Loss 1.6020 (1.6064) Prec@1 59.375 (56.719) Prec@5 86.875 (84.924) Epoch: [82][1780/11272] Time 0.717 (0.775) Data 0.001 (0.004) Loss 1.5252 (1.6063) Prec@1 55.625 (56.720) Prec@5 85.625 (84.922) Epoch: [82][1790/11272] Time 0.847 (0.775) Data 0.001 (0.004) Loss 1.4869 (1.6065) Prec@1 58.750 (56.717) Prec@5 88.125 (84.924) Epoch: [82][1800/11272] Time 0.800 (0.775) Data 0.001 (0.004) Loss 1.8617 (1.6067) Prec@1 47.500 (56.712) Prec@5 85.000 (84.921) Epoch: [82][1810/11272] Time 0.723 (0.775) Data 0.001 (0.004) Loss 1.3414 (1.6068) Prec@1 62.500 (56.708) Prec@5 91.250 (84.922) Epoch: [82][1820/11272] Time 0.725 (0.775) Data 0.002 (0.004) Loss 1.6807 (1.6069) Prec@1 58.125 (56.715) Prec@5 85.000 (84.916) Epoch: [82][1830/11272] Time 0.845 (0.775) Data 0.001 (0.004) Loss 1.3897 (1.6065) Prec@1 61.250 (56.716) Prec@5 85.625 (84.925) Epoch: [82][1840/11272] Time 0.805 (0.775) Data 0.001 (0.004) Loss 1.5793 (1.6067) Prec@1 55.000 (56.705) Prec@5 86.250 (84.923) Epoch: [82][1850/11272] Time 0.689 (0.775) Data 0.001 (0.004) Loss 1.6338 (1.6068) Prec@1 54.375 (56.693) Prec@5 85.625 (84.920) Epoch: [82][1860/11272] Time 0.751 (0.775) Data 0.001 (0.003) Loss 1.5381 (1.6070) Prec@1 57.500 (56.688) Prec@5 83.750 (84.922) Epoch: [82][1870/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.6265 (1.6067) Prec@1 58.125 (56.691) Prec@5 84.375 (84.927) Epoch: [82][1880/11272] Time 0.707 (0.775) Data 0.003 (0.003) Loss 1.5829 (1.6069) Prec@1 60.000 (56.689) Prec@5 86.250 (84.929) Epoch: [82][1890/11272] Time 0.721 (0.775) Data 0.002 (0.003) Loss 1.5002 (1.6069) Prec@1 59.375 (56.696) Prec@5 85.625 (84.929) Epoch: [82][1900/11272] Time 0.867 (0.775) Data 0.002 (0.003) Loss 1.5574 (1.6067) Prec@1 56.250 (56.699) Prec@5 83.125 (84.929) Epoch: [82][1910/11272] Time 0.842 (0.775) Data 0.001 (0.003) Loss 1.6666 (1.6065) Prec@1 52.500 (56.702) Prec@5 84.375 (84.931) Epoch: [82][1920/11272] Time 0.728 (0.775) Data 0.002 (0.003) Loss 1.4170 (1.6060) Prec@1 63.750 (56.710) Prec@5 90.000 (84.945) Epoch: [82][1930/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.6471 (1.6060) Prec@1 58.125 (56.709) Prec@5 83.750 (84.942) Epoch: [82][1940/11272] Time 0.821 (0.775) Data 0.001 (0.003) Loss 1.4637 (1.6060) Prec@1 53.750 (56.710) Prec@5 88.750 (84.941) Epoch: [82][1950/11272] Time 0.825 (0.775) Data 0.002 (0.003) Loss 1.7989 (1.6057) Prec@1 48.125 (56.713) Prec@5 82.500 (84.941) Epoch: [82][1960/11272] Time 0.749 (0.775) Data 0.001 (0.003) Loss 1.5611 (1.6057) Prec@1 54.375 (56.714) Prec@5 85.625 (84.940) Epoch: [82][1970/11272] Time 0.716 (0.775) Data 0.001 (0.003) Loss 1.7523 (1.6058) Prec@1 52.500 (56.704) Prec@5 83.125 (84.938) Epoch: [82][1980/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.5476 (1.6063) Prec@1 56.875 (56.695) Prec@5 83.125 (84.932) Epoch: [82][1990/11272] Time 0.823 (0.775) Data 0.001 (0.003) Loss 1.5006 (1.6064) Prec@1 56.250 (56.690) Prec@5 86.875 (84.932) Epoch: [82][2000/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.7323 (1.6066) Prec@1 52.500 (56.684) Prec@5 81.250 (84.928) Epoch: [82][2010/11272] Time 0.874 (0.775) Data 0.001 (0.003) Loss 1.2864 (1.6069) Prec@1 65.625 (56.678) Prec@5 91.250 (84.926) Epoch: [82][2020/11272] Time 0.830 (0.775) Data 0.001 (0.003) Loss 1.8176 (1.6075) Prec@1 47.500 (56.671) Prec@5 85.625 (84.914) Epoch: [82][2030/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.6331 (1.6073) Prec@1 55.625 (56.677) Prec@5 83.125 (84.913) Epoch: [82][2040/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.7972 (1.6074) Prec@1 48.125 (56.675) Prec@5 82.500 (84.911) Epoch: [82][2050/11272] Time 0.804 (0.775) Data 0.002 (0.003) Loss 1.8394 (1.6075) Prec@1 53.125 (56.673) Prec@5 81.250 (84.908) Epoch: [82][2060/11272] Time 0.804 (0.775) Data 0.001 (0.003) Loss 1.4957 (1.6075) Prec@1 56.875 (56.673) Prec@5 89.375 (84.913) Epoch: [82][2070/11272] Time 0.734 (0.775) Data 0.001 (0.003) Loss 1.5081 (1.6075) Prec@1 57.500 (56.670) Prec@5 85.625 (84.912) Epoch: [82][2080/11272] Time 0.744 (0.775) Data 0.001 (0.003) Loss 1.5748 (1.6077) Prec@1 58.125 (56.664) Prec@5 85.625 (84.906) Epoch: [82][2090/11272] Time 0.807 (0.775) Data 0.001 (0.003) Loss 1.6731 (1.6077) Prec@1 53.750 (56.668) Prec@5 85.000 (84.912) Epoch: [82][2100/11272] Time 0.837 (0.775) Data 0.001 (0.003) Loss 1.5349 (1.6077) Prec@1 58.125 (56.669) Prec@5 85.000 (84.910) Epoch: [82][2110/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.6361 (1.6077) Prec@1 55.000 (56.671) Prec@5 85.000 (84.911) Epoch: [82][2120/11272] Time 0.712 (0.775) Data 0.002 (0.003) Loss 1.5422 (1.6075) Prec@1 56.875 (56.670) Prec@5 88.125 (84.914) Epoch: [82][2130/11272] Time 0.818 (0.775) Data 0.001 (0.003) Loss 1.5927 (1.6079) Prec@1 53.750 (56.662) Prec@5 85.000 (84.912) Epoch: [82][2140/11272] Time 0.805 (0.775) Data 0.002 (0.003) Loss 1.7280 (1.6079) Prec@1 54.375 (56.667) Prec@5 83.750 (84.913) Epoch: [82][2150/11272] Time 0.728 (0.775) Data 0.002 (0.003) Loss 1.4934 (1.6080) Prec@1 60.625 (56.667) Prec@5 85.625 (84.910) Epoch: [82][2160/11272] Time 0.869 (0.775) Data 0.001 (0.003) Loss 1.3191 (1.6077) Prec@1 62.500 (56.673) Prec@5 88.750 (84.918) Epoch: [82][2170/11272] Time 0.839 (0.775) Data 0.002 (0.003) Loss 1.7813 (1.6079) Prec@1 51.875 (56.668) Prec@5 82.500 (84.912) Epoch: [82][2180/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.4918 (1.6079) Prec@1 60.625 (56.664) Prec@5 85.000 (84.907) Epoch: [82][2190/11272] Time 0.738 (0.775) Data 0.002 (0.003) Loss 1.7904 (1.6079) Prec@1 48.750 (56.664) Prec@5 85.000 (84.908) Epoch: [82][2200/11272] Time 0.792 (0.775) Data 0.001 (0.003) Loss 1.5905 (1.6078) Prec@1 57.500 (56.661) Prec@5 85.625 (84.911) Epoch: [82][2210/11272] Time 0.838 (0.775) Data 0.001 (0.003) Loss 1.5446 (1.6078) Prec@1 55.625 (56.660) Prec@5 85.000 (84.911) Epoch: [82][2220/11272] Time 0.692 (0.775) Data 0.001 (0.003) Loss 1.7339 (1.6080) Prec@1 52.500 (56.657) Prec@5 85.625 (84.912) Epoch: [82][2230/11272] Time 0.753 (0.775) Data 0.001 (0.003) Loss 1.6691 (1.6081) Prec@1 53.125 (56.647) Prec@5 85.625 (84.914) Epoch: [82][2240/11272] Time 0.837 (0.775) Data 0.001 (0.003) Loss 1.6068 (1.6080) Prec@1 55.625 (56.643) Prec@5 83.750 (84.917) Epoch: [82][2250/11272] Time 0.813 (0.775) Data 0.001 (0.003) Loss 1.4643 (1.6077) Prec@1 57.500 (56.649) Prec@5 87.500 (84.921) Epoch: [82][2260/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.6862 (1.6078) Prec@1 59.375 (56.652) Prec@5 86.875 (84.920) Epoch: [82][2270/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.5854 (1.6078) Prec@1 59.375 (56.648) Prec@5 86.250 (84.923) Epoch: [82][2280/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.8169 (1.6077) Prec@1 53.750 (56.645) Prec@5 83.125 (84.924) Epoch: [82][2290/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.4508 (1.6076) Prec@1 59.375 (56.649) Prec@5 88.750 (84.927) Epoch: [82][2300/11272] Time 0.733 (0.775) Data 0.001 (0.003) Loss 1.5039 (1.6077) Prec@1 59.375 (56.644) Prec@5 85.000 (84.923) Epoch: [82][2310/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.6250 (1.6078) Prec@1 58.125 (56.645) Prec@5 84.375 (84.922) Epoch: [82][2320/11272] Time 0.843 (0.775) Data 0.002 (0.003) Loss 1.5992 (1.6078) Prec@1 54.375 (56.641) Prec@5 86.875 (84.927) Epoch: [82][2330/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.4414 (1.6077) Prec@1 60.625 (56.637) Prec@5 89.375 (84.929) Epoch: [82][2340/11272] Time 0.715 (0.775) Data 0.001 (0.003) Loss 1.6334 (1.6076) Prec@1 56.875 (56.638) Prec@5 84.375 (84.931) Epoch: [82][2350/11272] Time 0.845 (0.775) Data 0.002 (0.003) Loss 1.5050 (1.6072) Prec@1 60.000 (56.649) Prec@5 86.875 (84.935) Epoch: [82][2360/11272] Time 0.805 (0.775) Data 0.002 (0.003) Loss 1.5963 (1.6075) Prec@1 56.250 (56.642) Prec@5 85.000 (84.932) Epoch: [82][2370/11272] Time 0.731 (0.775) Data 0.002 (0.003) Loss 1.7282 (1.6076) Prec@1 53.750 (56.639) Prec@5 83.125 (84.928) Epoch: [82][2380/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.6846 (1.6075) Prec@1 53.125 (56.641) Prec@5 81.875 (84.931) Epoch: [82][2390/11272] Time 0.882 (0.775) Data 0.002 (0.003) Loss 1.5381 (1.6074) Prec@1 60.000 (56.642) Prec@5 85.625 (84.935) Epoch: [82][2400/11272] Time 0.845 (0.775) Data 0.001 (0.003) Loss 1.4948 (1.6076) Prec@1 57.500 (56.636) Prec@5 89.375 (84.932) Epoch: [82][2410/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.6584 (1.6076) Prec@1 56.875 (56.639) Prec@5 86.250 (84.934) Epoch: [82][2420/11272] Time 0.802 (0.775) Data 0.001 (0.003) Loss 1.9820 (1.6078) Prec@1 52.500 (56.635) Prec@5 80.625 (84.932) Epoch: [82][2430/11272] Time 0.828 (0.775) Data 0.002 (0.003) Loss 1.5933 (1.6079) Prec@1 59.375 (56.633) Prec@5 85.000 (84.928) Epoch: [82][2440/11272] Time 0.718 (0.775) Data 0.001 (0.003) Loss 1.2675 (1.6079) Prec@1 63.750 (56.629) Prec@5 89.375 (84.926) Epoch: [82][2450/11272] Time 0.718 (0.775) Data 0.002 (0.003) Loss 1.5263 (1.6080) Prec@1 58.750 (56.626) Prec@5 87.500 (84.927) Epoch: [82][2460/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.6219 (1.6079) Prec@1 60.000 (56.635) Prec@5 82.500 (84.926) Epoch: [82][2470/11272] Time 0.820 (0.775) Data 0.001 (0.003) Loss 1.7292 (1.6081) Prec@1 54.375 (56.629) Prec@5 86.250 (84.927) Epoch: [82][2480/11272] Time 0.716 (0.775) Data 0.001 (0.003) Loss 1.5373 (1.6079) Prec@1 55.625 (56.635) Prec@5 82.500 (84.928) Epoch: [82][2490/11272] Time 0.711 (0.775) Data 0.001 (0.003) Loss 1.7529 (1.6081) Prec@1 55.000 (56.627) Prec@5 82.500 (84.928) Epoch: [82][2500/11272] Time 0.864 (0.775) Data 0.002 (0.003) Loss 1.4636 (1.6080) Prec@1 58.125 (56.623) Prec@5 87.500 (84.933) Epoch: [82][2510/11272] Time 0.799 (0.775) Data 0.001 (0.003) Loss 1.5656 (1.6079) Prec@1 58.125 (56.624) Prec@5 83.125 (84.936) Epoch: [82][2520/11272] Time 0.709 (0.775) Data 0.002 (0.003) Loss 1.5593 (1.6082) Prec@1 55.000 (56.618) Prec@5 86.250 (84.931) Epoch: [82][2530/11272] Time 0.696 (0.775) Data 0.001 (0.003) Loss 1.5924 (1.6083) Prec@1 58.125 (56.616) Prec@5 85.625 (84.928) Epoch: [82][2540/11272] Time 0.832 (0.775) Data 0.001 (0.003) Loss 1.7361 (1.6086) Prec@1 58.125 (56.607) Prec@5 81.875 (84.926) Epoch: [82][2550/11272] Time 0.731 (0.775) Data 0.003 (0.003) Loss 1.6431 (1.6087) Prec@1 53.750 (56.605) Prec@5 83.750 (84.924) Epoch: [82][2560/11272] Time 0.724 (0.775) Data 0.002 (0.003) Loss 1.9236 (1.6090) Prec@1 51.250 (56.599) Prec@5 78.125 (84.918) Epoch: [82][2570/11272] Time 0.839 (0.775) Data 0.001 (0.003) Loss 1.7685 (1.6090) Prec@1 56.875 (56.599) Prec@5 85.625 (84.916) Epoch: [82][2580/11272] Time 0.808 (0.775) Data 0.001 (0.003) Loss 1.7942 (1.6094) Prec@1 51.875 (56.592) Prec@5 82.500 (84.910) Epoch: [82][2590/11272] Time 0.722 (0.775) Data 0.001 (0.003) Loss 1.7370 (1.6097) Prec@1 57.500 (56.590) Prec@5 81.250 (84.904) Epoch: [82][2600/11272] Time 0.705 (0.775) Data 0.001 (0.003) Loss 1.4708 (1.6100) Prec@1 58.125 (56.583) Prec@5 86.250 (84.897) Epoch: [82][2610/11272] Time 0.785 (0.775) Data 0.001 (0.003) Loss 1.5489 (1.6103) Prec@1 55.625 (56.572) Prec@5 86.250 (84.896) Epoch: [82][2620/11272] Time 0.830 (0.775) Data 0.002 (0.003) Loss 1.5801 (1.6101) Prec@1 59.375 (56.578) Prec@5 82.500 (84.897) Epoch: [82][2630/11272] Time 0.748 (0.775) Data 0.001 (0.003) Loss 1.5046 (1.6101) Prec@1 62.500 (56.577) Prec@5 85.625 (84.895) Epoch: [82][2640/11272] Time 0.724 (0.775) Data 0.001 (0.003) Loss 1.6452 (1.6103) Prec@1 59.375 (56.574) Prec@5 83.750 (84.892) Epoch: [82][2650/11272] Time 0.820 (0.775) Data 0.001 (0.003) Loss 1.7327 (1.6104) Prec@1 51.250 (56.572) Prec@5 83.750 (84.890) Epoch: [82][2660/11272] Time 0.801 (0.775) Data 0.001 (0.003) Loss 1.5771 (1.6103) Prec@1 58.125 (56.573) Prec@5 85.625 (84.893) Epoch: [82][2670/11272] Time 0.737 (0.775) Data 0.001 (0.003) Loss 1.7237 (1.6104) Prec@1 57.500 (56.578) Prec@5 83.125 (84.888) Epoch: [82][2680/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.4852 (1.6103) Prec@1 60.625 (56.581) Prec@5 88.750 (84.892) Epoch: [82][2690/11272] Time 0.859 (0.775) Data 0.001 (0.003) Loss 1.7001 (1.6101) Prec@1 56.875 (56.585) Prec@5 81.250 (84.896) Epoch: [82][2700/11272] Time 0.795 (0.775) Data 0.002 (0.003) Loss 1.6201 (1.6102) Prec@1 51.250 (56.580) Prec@5 86.250 (84.892) Epoch: [82][2710/11272] Time 0.726 (0.775) Data 0.002 (0.003) Loss 1.3949 (1.6099) Prec@1 62.500 (56.590) Prec@5 86.250 (84.896) Epoch: [82][2720/11272] Time 0.844 (0.775) Data 0.001 (0.003) Loss 1.6064 (1.6101) Prec@1 56.250 (56.582) Prec@5 86.875 (84.894) Epoch: [82][2730/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.7655 (1.6105) Prec@1 53.750 (56.575) Prec@5 81.250 (84.887) Epoch: [82][2740/11272] Time 0.739 (0.775) Data 0.001 (0.003) Loss 1.5857 (1.6106) Prec@1 55.000 (56.569) Prec@5 87.500 (84.888) Epoch: [82][2750/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.7823 (1.6108) Prec@1 51.875 (56.564) Prec@5 83.125 (84.890) Epoch: [82][2760/11272] Time 0.822 (0.775) Data 0.001 (0.003) Loss 1.8236 (1.6109) Prec@1 54.375 (56.563) Prec@5 81.875 (84.888) Epoch: [82][2770/11272] Time 0.797 (0.775) Data 0.002 (0.003) Loss 1.4189 (1.6107) Prec@1 55.000 (56.560) Prec@5 90.000 (84.892) Epoch: [82][2780/11272] Time 0.733 (0.775) Data 0.001 (0.003) Loss 1.7143 (1.6109) Prec@1 47.500 (56.552) Prec@5 84.375 (84.891) Epoch: [82][2790/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.6137 (1.6107) Prec@1 56.250 (56.553) Prec@5 86.875 (84.895) Epoch: [82][2800/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.8655 (1.6111) Prec@1 50.625 (56.543) Prec@5 85.000 (84.895) Epoch: [82][2810/11272] Time 0.709 (0.775) Data 0.003 (0.003) Loss 1.6299 (1.6111) Prec@1 57.500 (56.549) Prec@5 82.500 (84.893) Epoch: [82][2820/11272] Time 0.719 (0.775) Data 0.001 (0.003) Loss 1.4770 (1.6112) Prec@1 57.500 (56.547) Prec@5 87.500 (84.894) Epoch: [82][2830/11272] Time 0.840 (0.775) Data 0.002 (0.003) Loss 1.7370 (1.6112) Prec@1 55.625 (56.546) Prec@5 79.375 (84.888) Epoch: [82][2840/11272] Time 0.858 (0.775) Data 0.001 (0.003) Loss 1.6781 (1.6111) Prec@1 58.125 (56.550) Prec@5 84.375 (84.891) Epoch: [82][2850/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.5450 (1.6109) Prec@1 53.750 (56.553) Prec@5 88.125 (84.897) Epoch: [82][2860/11272] Time 0.702 (0.775) Data 0.001 (0.003) Loss 1.6782 (1.6109) Prec@1 55.625 (56.556) Prec@5 86.250 (84.896) Epoch: [82][2870/11272] Time 0.889 (0.775) Data 0.002 (0.003) Loss 1.5769 (1.6106) Prec@1 56.875 (56.561) Prec@5 83.125 (84.901) Epoch: [82][2880/11272] Time 0.805 (0.775) Data 0.002 (0.003) Loss 1.4912 (1.6105) Prec@1 58.125 (56.563) Prec@5 85.625 (84.904) Epoch: [82][2890/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.5728 (1.6107) Prec@1 56.250 (56.563) Prec@5 83.125 (84.900) Epoch: [82][2900/11272] Time 0.748 (0.775) Data 0.002 (0.003) Loss 1.4623 (1.6106) Prec@1 60.000 (56.568) Prec@5 90.000 (84.902) Epoch: [82][2910/11272] Time 0.835 (0.775) Data 0.001 (0.003) Loss 1.6847 (1.6107) Prec@1 51.875 (56.569) Prec@5 86.250 (84.903) Epoch: [82][2920/11272] Time 0.827 (0.775) Data 0.001 (0.003) Loss 1.6397 (1.6107) Prec@1 55.625 (56.570) Prec@5 82.500 (84.902) Epoch: [82][2930/11272] Time 0.705 (0.775) Data 0.001 (0.003) Loss 1.6440 (1.6106) Prec@1 57.500 (56.570) Prec@5 83.125 (84.901) Epoch: [82][2940/11272] Time 0.801 (0.775) Data 0.001 (0.003) Loss 1.3946 (1.6107) Prec@1 60.000 (56.571) Prec@5 88.125 (84.898) Epoch: [82][2950/11272] Time 0.827 (0.775) Data 0.001 (0.003) Loss 1.4729 (1.6109) Prec@1 54.375 (56.570) Prec@5 84.375 (84.896) Epoch: [82][2960/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.4349 (1.6108) Prec@1 62.500 (56.570) Prec@5 84.375 (84.897) Epoch: [82][2970/11272] Time 0.730 (0.775) Data 0.001 (0.003) Loss 1.4642 (1.6109) Prec@1 61.875 (56.564) Prec@5 85.000 (84.892) Epoch: [82][2980/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.8165 (1.6109) Prec@1 50.625 (56.562) Prec@5 78.125 (84.890) Epoch: [82][2990/11272] Time 0.829 (0.775) Data 0.001 (0.003) Loss 1.6949 (1.6108) Prec@1 55.000 (56.569) Prec@5 80.625 (84.888) Epoch: [82][3000/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.6560 (1.6108) Prec@1 50.625 (56.563) Prec@5 82.500 (84.887) Epoch: [82][3010/11272] Time 0.706 (0.775) Data 0.001 (0.003) Loss 1.7171 (1.6109) Prec@1 54.375 (56.559) Prec@5 85.000 (84.884) Epoch: [82][3020/11272] Time 0.855 (0.775) Data 0.002 (0.003) Loss 1.7571 (1.6109) Prec@1 51.250 (56.554) Prec@5 83.125 (84.886) Epoch: [82][3030/11272] Time 0.855 (0.775) Data 0.001 (0.003) Loss 1.6128 (1.6109) Prec@1 49.375 (56.555) Prec@5 86.250 (84.887) Epoch: [82][3040/11272] Time 0.723 (0.775) Data 0.002 (0.003) Loss 1.7233 (1.6109) Prec@1 54.375 (56.554) Prec@5 81.250 (84.888) Epoch: [82][3050/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.5511 (1.6109) Prec@1 61.250 (56.558) Prec@5 86.250 (84.885) Epoch: [82][3060/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.3702 (1.6110) Prec@1 61.250 (56.557) Prec@5 88.750 (84.884) Epoch: [82][3070/11272] Time 0.862 (0.775) Data 0.002 (0.003) Loss 1.7492 (1.6111) Prec@1 50.625 (56.553) Prec@5 85.625 (84.884) Epoch: [82][3080/11272] Time 0.771 (0.775) Data 0.002 (0.003) Loss 1.4211 (1.6110) Prec@1 60.000 (56.553) Prec@5 87.500 (84.887) Epoch: [82][3090/11272] Time 0.838 (0.775) Data 0.001 (0.003) Loss 1.7221 (1.6109) Prec@1 55.625 (56.560) Prec@5 84.375 (84.887) Epoch: [82][3100/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.5883 (1.6110) Prec@1 55.625 (56.555) Prec@5 81.875 (84.887) Epoch: [82][3110/11272] Time 0.734 (0.775) Data 0.001 (0.003) Loss 1.4817 (1.6110) Prec@1 60.625 (56.553) Prec@5 85.625 (84.886) Epoch: [82][3120/11272] Time 0.730 (0.775) Data 0.002 (0.003) Loss 1.4971 (1.6111) Prec@1 54.375 (56.547) Prec@5 88.125 (84.886) Epoch: [82][3130/11272] Time 0.829 (0.775) Data 0.001 (0.003) Loss 1.9394 (1.6113) Prec@1 51.250 (56.540) Prec@5 75.625 (84.885) Epoch: [82][3140/11272] Time 0.868 (0.775) Data 0.001 (0.003) Loss 1.7507 (1.6115) Prec@1 54.375 (56.537) Prec@5 85.000 (84.884) Epoch: [82][3150/11272] Time 0.730 (0.775) Data 0.001 (0.003) Loss 1.6472 (1.6115) Prec@1 56.250 (56.531) Prec@5 80.625 (84.882) Epoch: [82][3160/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.9445 (1.6118) Prec@1 45.000 (56.528) Prec@5 82.500 (84.877) Epoch: [82][3170/11272] Time 0.846 (0.775) Data 0.001 (0.003) Loss 1.8075 (1.6118) Prec@1 47.500 (56.526) Prec@5 84.375 (84.879) Epoch: [82][3180/11272] Time 0.770 (0.775) Data 0.001 (0.003) Loss 1.7118 (1.6118) Prec@1 56.250 (56.523) Prec@5 84.375 (84.881) Epoch: [82][3190/11272] Time 0.747 (0.775) Data 0.002 (0.003) Loss 1.8058 (1.6120) Prec@1 52.500 (56.523) Prec@5 86.250 (84.878) Epoch: [82][3200/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.5395 (1.6120) Prec@1 63.125 (56.527) Prec@5 82.500 (84.877) Epoch: [82][3210/11272] Time 0.819 (0.775) Data 0.001 (0.003) Loss 1.5739 (1.6120) Prec@1 56.875 (56.524) Prec@5 85.000 (84.873) Epoch: [82][3220/11272] Time 0.718 (0.775) Data 0.002 (0.003) Loss 1.6916 (1.6121) Prec@1 53.125 (56.522) Prec@5 81.250 (84.869) Epoch: [82][3230/11272] Time 0.732 (0.775) Data 0.001 (0.003) Loss 1.6106 (1.6122) Prec@1 59.375 (56.522) Prec@5 84.375 (84.865) Epoch: [82][3240/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 1.6387 (1.6121) Prec@1 58.750 (56.523) Prec@5 79.375 (84.866) Epoch: [82][3250/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.7505 (1.6123) Prec@1 51.250 (56.518) Prec@5 83.125 (84.861) Epoch: [82][3260/11272] Time 0.727 (0.775) Data 0.002 (0.003) Loss 1.8394 (1.6123) Prec@1 51.875 (56.519) Prec@5 80.000 (84.862) Epoch: [82][3270/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.6851 (1.6121) Prec@1 56.250 (56.526) Prec@5 82.500 (84.864) Epoch: [82][3280/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.5787 (1.6120) Prec@1 56.875 (56.527) Prec@5 86.250 (84.869) Epoch: [82][3290/11272] Time 0.807 (0.775) Data 0.001 (0.003) Loss 1.7686 (1.6121) Prec@1 53.125 (56.528) Prec@5 83.750 (84.868) Epoch: [82][3300/11272] Time 0.723 (0.775) Data 0.002 (0.003) Loss 1.5850 (1.6121) Prec@1 56.875 (56.533) Prec@5 86.250 (84.868) Epoch: [82][3310/11272] Time 0.741 (0.775) Data 0.002 (0.003) Loss 1.4510 (1.6120) Prec@1 60.625 (56.536) Prec@5 88.125 (84.872) Epoch: [82][3320/11272] Time 0.825 (0.775) Data 0.001 (0.003) Loss 1.4472 (1.6119) Prec@1 60.625 (56.535) Prec@5 90.000 (84.873) Epoch: [82][3330/11272] Time 0.806 (0.775) Data 0.002 (0.003) Loss 1.6099 (1.6121) Prec@1 60.625 (56.534) Prec@5 84.375 (84.868) Epoch: [82][3340/11272] Time 0.733 (0.775) Data 0.002 (0.003) Loss 1.4683 (1.6122) Prec@1 59.375 (56.534) Prec@5 88.125 (84.864) Epoch: [82][3350/11272] Time 0.823 (0.775) Data 0.001 (0.003) Loss 1.5433 (1.6123) Prec@1 58.750 (56.531) Prec@5 85.625 (84.860) Epoch: [82][3360/11272] Time 0.806 (0.775) Data 0.001 (0.003) Loss 1.7540 (1.6123) Prec@1 55.000 (56.530) Prec@5 84.375 (84.861) Epoch: [82][3370/11272] Time 0.701 (0.775) Data 0.001 (0.003) Loss 1.5281 (1.6124) Prec@1 58.125 (56.530) Prec@5 87.500 (84.863) Epoch: [82][3380/11272] Time 0.695 (0.775) Data 0.001 (0.003) Loss 1.6709 (1.6123) Prec@1 55.000 (56.528) Prec@5 83.750 (84.866) Epoch: [82][3390/11272] Time 0.882 (0.775) Data 0.002 (0.003) Loss 1.5184 (1.6124) Prec@1 59.375 (56.523) Prec@5 86.875 (84.867) Epoch: [82][3400/11272] Time 0.828 (0.775) Data 0.001 (0.003) Loss 1.4106 (1.6121) Prec@1 61.875 (56.526) Prec@5 86.875 (84.871) Epoch: [82][3410/11272] Time 0.725 (0.775) Data 0.002 (0.003) Loss 1.5897 (1.6122) Prec@1 60.625 (56.525) Prec@5 82.500 (84.867) Epoch: [82][3420/11272] Time 0.737 (0.775) Data 0.001 (0.003) Loss 1.5843 (1.6124) Prec@1 55.625 (56.517) Prec@5 86.250 (84.863) Epoch: [82][3430/11272] Time 0.815 (0.775) Data 0.001 (0.003) Loss 1.6393 (1.6127) Prec@1 58.750 (56.514) Prec@5 84.375 (84.860) Epoch: [82][3440/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.3092 (1.6127) Prec@1 61.875 (56.513) Prec@5 90.000 (84.856) Epoch: [82][3450/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.6860 (1.6128) Prec@1 58.750 (56.515) Prec@5 81.875 (84.853) Epoch: [82][3460/11272] Time 0.717 (0.775) Data 0.001 (0.003) Loss 1.6847 (1.6129) Prec@1 53.750 (56.512) Prec@5 83.750 (84.852) Epoch: [82][3470/11272] Time 0.829 (0.775) Data 0.001 (0.003) Loss 1.7876 (1.6131) Prec@1 50.625 (56.514) Prec@5 80.625 (84.847) Epoch: [82][3480/11272] Time 0.731 (0.775) Data 0.003 (0.003) Loss 1.5207 (1.6130) Prec@1 56.875 (56.513) Prec@5 88.125 (84.847) Epoch: [82][3490/11272] Time 0.708 (0.775) Data 0.002 (0.003) Loss 1.6594 (1.6129) Prec@1 51.250 (56.515) Prec@5 85.000 (84.849) Epoch: [82][3500/11272] Time 0.853 (0.775) Data 0.001 (0.003) Loss 1.5214 (1.6129) Prec@1 55.000 (56.515) Prec@5 89.375 (84.849) Epoch: [82][3510/11272] Time 0.805 (0.775) Data 0.001 (0.003) Loss 1.4561 (1.6129) Prec@1 60.625 (56.517) Prec@5 86.250 (84.849) Epoch: [82][3520/11272] Time 0.711 (0.775) Data 0.002 (0.003) Loss 1.6145 (1.6127) Prec@1 55.625 (56.523) Prec@5 85.625 (84.854) Epoch: [82][3530/11272] Time 0.737 (0.775) Data 0.001 (0.003) Loss 1.4854 (1.6128) Prec@1 62.500 (56.523) Prec@5 86.875 (84.851) Epoch: [82][3540/11272] Time 0.829 (0.775) Data 0.001 (0.003) Loss 1.5574 (1.6129) Prec@1 56.250 (56.520) Prec@5 86.875 (84.850) Epoch: [82][3550/11272] Time 0.816 (0.775) Data 0.001 (0.003) Loss 1.6551 (1.6129) Prec@1 53.750 (56.521) Prec@5 84.375 (84.849) Epoch: [82][3560/11272] Time 0.695 (0.775) Data 0.002 (0.003) Loss 1.4720 (1.6127) Prec@1 55.000 (56.522) Prec@5 89.375 (84.853) Epoch: [82][3570/11272] Time 0.735 (0.775) Data 0.001 (0.003) Loss 1.6495 (1.6126) Prec@1 56.875 (56.525) Prec@5 85.625 (84.855) Epoch: [82][3580/11272] Time 0.812 (0.775) Data 0.001 (0.003) Loss 1.5621 (1.6125) Prec@1 57.500 (56.527) Prec@5 90.000 (84.860) Epoch: [82][3590/11272] Time 0.811 (0.775) Data 0.001 (0.003) Loss 1.7302 (1.6126) Prec@1 53.125 (56.524) Prec@5 83.750 (84.860) Epoch: [82][3600/11272] Time 0.708 (0.775) Data 0.001 (0.003) Loss 1.6572 (1.6126) Prec@1 53.750 (56.524) Prec@5 83.125 (84.859) Epoch: [82][3610/11272] Time 0.823 (0.775) Data 0.001 (0.003) Loss 1.5162 (1.6128) Prec@1 55.625 (56.521) Prec@5 85.625 (84.853) Epoch: [82][3620/11272] Time 0.804 (0.775) Data 0.002 (0.003) Loss 1.7426 (1.6130) Prec@1 50.000 (56.516) Prec@5 81.875 (84.852) Epoch: [82][3630/11272] Time 0.734 (0.775) Data 0.001 (0.003) Loss 1.8474 (1.6129) Prec@1 50.000 (56.519) Prec@5 83.125 (84.854) Epoch: [82][3640/11272] Time 0.713 (0.775) Data 0.001 (0.003) Loss 1.3795 (1.6129) Prec@1 59.375 (56.525) Prec@5 90.625 (84.855) Epoch: [82][3650/11272] Time 0.832 (0.775) Data 0.001 (0.003) Loss 1.6172 (1.6131) Prec@1 60.000 (56.525) Prec@5 86.250 (84.854) Epoch: [82][3660/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.6751 (1.6132) Prec@1 54.375 (56.523) Prec@5 85.625 (84.856) Epoch: [82][3670/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8094 (1.6132) Prec@1 49.375 (56.520) Prec@5 81.875 (84.856) Epoch: [82][3680/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5815 (1.6130) Prec@1 55.000 (56.522) Prec@5 86.875 (84.861) Epoch: [82][3690/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.5768 (1.6130) Prec@1 60.000 (56.524) Prec@5 85.625 (84.863) Epoch: [82][3700/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.6465 (1.6128) Prec@1 51.875 (56.531) Prec@5 85.000 (84.865) Epoch: [82][3710/11272] Time 0.764 (0.775) Data 0.001 (0.002) Loss 1.8156 (1.6127) Prec@1 55.625 (56.538) Prec@5 82.500 (84.866) Epoch: [82][3720/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.5351 (1.6127) Prec@1 56.250 (56.540) Prec@5 85.625 (84.864) Epoch: [82][3730/11272] Time 0.881 (0.775) Data 0.001 (0.002) Loss 1.5385 (1.6125) Prec@1 56.875 (56.542) Prec@5 85.625 (84.868) Epoch: [82][3740/11272] Time 0.742 (0.775) Data 0.004 (0.002) Loss 1.5220 (1.6124) Prec@1 60.625 (56.546) Prec@5 88.750 (84.872) Epoch: [82][3750/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.5350 (1.6123) Prec@1 55.000 (56.549) Prec@5 85.625 (84.875) Epoch: [82][3760/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.9267 (1.6124) Prec@1 50.625 (56.544) Prec@5 77.500 (84.874) Epoch: [82][3770/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.3589 (1.6123) Prec@1 61.875 (56.544) Prec@5 88.750 (84.875) Epoch: [82][3780/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.7407 (1.6124) Prec@1 53.750 (56.541) Prec@5 79.375 (84.872) Epoch: [82][3790/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.6499 (1.6125) Prec@1 52.500 (56.541) Prec@5 83.750 (84.869) Epoch: [82][3800/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.5959 (1.6124) Prec@1 58.125 (56.547) Prec@5 88.750 (84.871) Epoch: [82][3810/11272] Time 0.856 (0.775) Data 0.002 (0.002) Loss 1.5827 (1.6125) Prec@1 60.625 (56.547) Prec@5 83.750 (84.870) Epoch: [82][3820/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.4647 (1.6124) Prec@1 61.875 (56.548) Prec@5 83.750 (84.869) Epoch: [82][3830/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6003 (1.6125) Prec@1 57.500 (56.549) Prec@5 88.750 (84.868) Epoch: [82][3840/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7630 (1.6127) Prec@1 53.125 (56.542) Prec@5 82.500 (84.866) Epoch: [82][3850/11272] Time 0.777 (0.775) Data 0.001 (0.002) Loss 1.5646 (1.6125) Prec@1 52.500 (56.546) Prec@5 87.500 (84.870) Epoch: [82][3860/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7454 (1.6125) Prec@1 56.875 (56.547) Prec@5 86.875 (84.875) Epoch: [82][3870/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.5469 (1.6125) Prec@1 60.625 (56.546) Prec@5 84.375 (84.874) Epoch: [82][3880/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.5254 (1.6126) Prec@1 59.375 (56.545) Prec@5 86.875 (84.873) Epoch: [82][3890/11272] Time 0.745 (0.775) Data 0.001 (0.002) Loss 1.4193 (1.6125) Prec@1 62.500 (56.548) Prec@5 84.375 (84.876) Epoch: [82][3900/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.5123 (1.6126) Prec@1 58.750 (56.548) Prec@5 90.625 (84.873) Epoch: [82][3910/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.5077 (1.6126) Prec@1 56.250 (56.550) Prec@5 87.500 (84.870) Epoch: [82][3920/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7155 (1.6127) Prec@1 55.000 (56.545) Prec@5 81.250 (84.869) Epoch: [82][3930/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.5135 (1.6127) Prec@1 61.250 (56.545) Prec@5 85.000 (84.870) Epoch: [82][3940/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.8008 (1.6129) Prec@1 55.625 (56.541) Prec@5 78.750 (84.868) Epoch: [82][3950/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.6398 (1.6128) Prec@1 53.750 (56.542) Prec@5 85.000 (84.869) Epoch: [82][3960/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.6169 (1.6128) Prec@1 53.750 (56.543) Prec@5 85.000 (84.867) Epoch: [82][3970/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.4253 (1.6129) Prec@1 58.750 (56.540) Prec@5 88.750 (84.863) Epoch: [82][3980/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.5886 (1.6130) Prec@1 56.875 (56.538) Prec@5 82.500 (84.859) Epoch: [82][3990/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.6391 (1.6132) Prec@1 56.250 (56.536) Prec@5 83.750 (84.856) Epoch: [82][4000/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.4063 (1.6131) Prec@1 58.125 (56.535) Prec@5 88.125 (84.856) Epoch: [82][4010/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6566 (1.6133) Prec@1 58.125 (56.533) Prec@5 86.250 (84.855) Epoch: [82][4020/11272] Time 0.870 (0.775) Data 0.001 (0.002) Loss 1.6700 (1.6133) Prec@1 50.625 (56.535) Prec@5 85.000 (84.856) Epoch: [82][4030/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.4672 (1.6132) Prec@1 60.000 (56.541) Prec@5 85.625 (84.858) Epoch: [82][4040/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.4660 (1.6130) Prec@1 58.750 (56.547) Prec@5 88.750 (84.862) Epoch: [82][4050/11272] Time 0.684 (0.775) Data 0.001 (0.002) Loss 1.4638 (1.6129) Prec@1 57.500 (56.549) Prec@5 85.625 (84.860) Epoch: [82][4060/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.9576 (1.6131) Prec@1 50.625 (56.547) Prec@5 78.750 (84.856) Epoch: [82][4070/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6801 (1.6132) Prec@1 57.500 (56.550) Prec@5 81.875 (84.854) Epoch: [82][4080/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.3728 (1.6129) Prec@1 58.750 (56.554) Prec@5 90.625 (84.859) Epoch: [82][4090/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.9792 (1.6131) Prec@1 50.000 (56.552) Prec@5 78.125 (84.857) Epoch: [82][4100/11272] Time 0.800 (0.775) Data 0.002 (0.002) Loss 1.6243 (1.6132) Prec@1 56.250 (56.552) Prec@5 85.000 (84.855) Epoch: [82][4110/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.6420 (1.6133) Prec@1 54.375 (56.545) Prec@5 83.750 (84.855) Epoch: [82][4120/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.4035 (1.6134) Prec@1 61.875 (56.545) Prec@5 88.125 (84.856) Epoch: [82][4130/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.6511 (1.6133) Prec@1 55.000 (56.546) Prec@5 83.125 (84.854) Epoch: [82][4140/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5688 (1.6134) Prec@1 50.625 (56.543) Prec@5 87.500 (84.854) Epoch: [82][4150/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.6621 (1.6133) Prec@1 62.500 (56.546) Prec@5 81.875 (84.852) Epoch: [82][4160/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6927 (1.6132) Prec@1 54.375 (56.549) Prec@5 83.750 (84.854) Epoch: [82][4170/11272] Time 0.782 (0.775) Data 0.001 (0.002) Loss 1.5398 (1.6133) Prec@1 59.375 (56.549) Prec@5 83.750 (84.852) Epoch: [82][4180/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.6120 (1.6133) Prec@1 59.375 (56.549) Prec@5 84.375 (84.850) Epoch: [82][4190/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.5649 (1.6134) Prec@1 57.500 (56.549) Prec@5 86.875 (84.848) Epoch: [82][4200/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.5470 (1.6135) Prec@1 60.625 (56.549) Prec@5 84.375 (84.845) Epoch: [82][4210/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.3957 (1.6135) Prec@1 58.750 (56.547) Prec@5 91.875 (84.849) Epoch: [82][4220/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.5007 (1.6135) Prec@1 60.625 (56.544) Prec@5 85.000 (84.850) Epoch: [82][4230/11272] Time 0.706 (0.775) Data 0.002 (0.002) Loss 1.4560 (1.6133) Prec@1 57.500 (56.549) Prec@5 85.000 (84.854) Epoch: [82][4240/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.5265 (1.6132) Prec@1 60.000 (56.550) Prec@5 86.250 (84.856) Epoch: [82][4250/11272] Time 0.836 (0.775) Data 0.002 (0.002) Loss 1.5867 (1.6132) Prec@1 53.750 (56.549) Prec@5 88.125 (84.857) Epoch: [82][4260/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.4535 (1.6133) Prec@1 65.625 (56.550) Prec@5 86.875 (84.855) Epoch: [82][4270/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.5966 (1.6132) Prec@1 58.125 (56.553) Prec@5 85.000 (84.856) Epoch: [82][4280/11272] Time 0.853 (0.775) Data 0.001 (0.002) Loss 1.4008 (1.6133) Prec@1 62.500 (56.553) Prec@5 86.875 (84.857) Epoch: [82][4290/11272] Time 0.858 (0.775) Data 0.002 (0.002) Loss 1.7847 (1.6131) Prec@1 53.125 (56.557) Prec@5 81.250 (84.858) Epoch: [82][4300/11272] Time 0.759 (0.775) Data 0.002 (0.002) Loss 1.7969 (1.6132) Prec@1 50.000 (56.554) Prec@5 80.000 (84.856) Epoch: [82][4310/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.5755 (1.6131) Prec@1 56.250 (56.557) Prec@5 83.125 (84.857) Epoch: [82][4320/11272] Time 0.883 (0.775) Data 0.002 (0.002) Loss 1.5403 (1.6132) Prec@1 56.875 (56.556) Prec@5 85.625 (84.855) Epoch: [82][4330/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.7247 (1.6133) Prec@1 59.375 (56.554) Prec@5 83.750 (84.852) Epoch: [82][4340/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.6044 (1.6134) Prec@1 55.000 (56.553) Prec@5 88.125 (84.851) Epoch: [82][4350/11272] Time 0.745 (0.775) Data 0.002 (0.002) Loss 1.6999 (1.6134) Prec@1 53.750 (56.553) Prec@5 85.000 (84.850) Epoch: [82][4360/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.8990 (1.6135) Prec@1 50.625 (56.549) Prec@5 82.500 (84.848) Epoch: [82][4370/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6757 (1.6135) Prec@1 56.875 (56.549) Prec@5 82.500 (84.847) Epoch: [82][4380/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6697 (1.6137) Prec@1 56.250 (56.544) Prec@5 85.000 (84.844) Epoch: [82][4390/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6302 (1.6137) Prec@1 53.125 (56.545) Prec@5 85.625 (84.844) Epoch: [82][4400/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.6339 (1.6137) Prec@1 53.750 (56.546) Prec@5 90.625 (84.844) Epoch: [82][4410/11272] Time 0.715 (0.775) Data 0.003 (0.002) Loss 1.4745 (1.6137) Prec@1 62.500 (56.547) Prec@5 86.875 (84.844) Epoch: [82][4420/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.7263 (1.6137) Prec@1 51.875 (56.549) Prec@5 85.000 (84.844) Epoch: [82][4430/11272] Time 0.828 (0.775) Data 0.002 (0.002) Loss 1.4991 (1.6137) Prec@1 63.125 (56.544) Prec@5 85.625 (84.844) Epoch: [82][4440/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.4811 (1.6138) Prec@1 64.375 (56.544) Prec@5 86.250 (84.843) Epoch: [82][4450/11272] Time 0.681 (0.775) Data 0.001 (0.002) Loss 1.8659 (1.6138) Prec@1 57.500 (56.545) Prec@5 78.125 (84.841) Epoch: [82][4460/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.5439 (1.6137) Prec@1 56.250 (56.549) Prec@5 84.375 (84.843) Epoch: [82][4470/11272] Time 0.853 (0.775) Data 0.001 (0.002) Loss 1.6652 (1.6137) Prec@1 47.500 (56.547) Prec@5 83.750 (84.841) Epoch: [82][4480/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.7128 (1.6137) Prec@1 55.625 (56.545) Prec@5 82.500 (84.841) Epoch: [82][4490/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.6124 (1.6137) Prec@1 55.625 (56.548) Prec@5 85.625 (84.842) Epoch: [82][4500/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.5327 (1.6136) Prec@1 58.125 (56.549) Prec@5 85.625 (84.844) Epoch: [82][4510/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.7039 (1.6138) Prec@1 56.250 (56.543) Prec@5 84.375 (84.843) Epoch: [82][4520/11272] Time 0.784 (0.775) Data 0.001 (0.002) Loss 1.4650 (1.6137) Prec@1 57.500 (56.546) Prec@5 89.375 (84.846) Epoch: [82][4530/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.4902 (1.6137) Prec@1 60.625 (56.548) Prec@5 88.750 (84.849) Epoch: [82][4540/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.5242 (1.6138) Prec@1 59.375 (56.544) Prec@5 85.000 (84.845) Epoch: [82][4550/11272] Time 0.863 (0.775) Data 0.002 (0.002) Loss 1.5119 (1.6138) Prec@1 56.875 (56.544) Prec@5 85.625 (84.847) Epoch: [82][4560/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.7411 (1.6137) Prec@1 54.375 (56.543) Prec@5 83.750 (84.849) Epoch: [82][4570/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.4543 (1.6137) Prec@1 56.250 (56.543) Prec@5 90.000 (84.852) Epoch: [82][4580/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.4723 (1.6135) Prec@1 61.875 (56.545) Prec@5 85.625 (84.853) Epoch: [82][4590/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.4370 (1.6135) Prec@1 60.000 (56.544) Prec@5 88.750 (84.855) Epoch: [82][4600/11272] Time 0.735 (0.775) Data 0.003 (0.002) Loss 1.7299 (1.6135) Prec@1 54.375 (56.544) Prec@5 82.500 (84.855) Epoch: [82][4610/11272] Time 0.734 (0.775) Data 0.002 (0.002) Loss 1.5248 (1.6135) Prec@1 62.500 (56.544) Prec@5 85.000 (84.852) Epoch: [82][4620/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.4812 (1.6135) Prec@1 56.875 (56.545) Prec@5 86.875 (84.852) Epoch: [82][4630/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.5027 (1.6134) Prec@1 63.750 (56.549) Prec@5 86.875 (84.854) Epoch: [82][4640/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.2670 (1.6133) Prec@1 65.000 (56.552) Prec@5 91.250 (84.856) Epoch: [82][4650/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.5417 (1.6131) Prec@1 51.875 (56.556) Prec@5 84.375 (84.859) Epoch: [82][4660/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.7418 (1.6132) Prec@1 54.375 (56.556) Prec@5 83.125 (84.858) Epoch: [82][4670/11272] Time 0.722 (0.775) Data 0.004 (0.002) Loss 1.3602 (1.6132) Prec@1 62.500 (56.556) Prec@5 88.750 (84.858) Epoch: [82][4680/11272] Time 0.764 (0.775) Data 0.002 (0.002) Loss 1.5012 (1.6130) Prec@1 61.250 (56.561) Prec@5 88.125 (84.861) Epoch: [82][4690/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.8870 (1.6131) Prec@1 50.000 (56.558) Prec@5 81.250 (84.858) Epoch: [82][4700/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.7785 (1.6132) Prec@1 50.625 (56.553) Prec@5 80.000 (84.856) Epoch: [82][4710/11272] Time 0.699 (0.775) Data 0.001 (0.002) Loss 1.5661 (1.6132) Prec@1 56.250 (56.552) Prec@5 88.125 (84.856) Epoch: [82][4720/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6745 (1.6132) Prec@1 57.500 (56.550) Prec@5 85.625 (84.857) Epoch: [82][4730/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.5896 (1.6133) Prec@1 51.875 (56.547) Prec@5 86.250 (84.855) Epoch: [82][4740/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.7109 (1.6134) Prec@1 48.125 (56.546) Prec@5 83.750 (84.853) Epoch: [82][4750/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.5423 (1.6135) Prec@1 58.125 (56.545) Prec@5 84.375 (84.851) Epoch: [82][4760/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5041 (1.6136) Prec@1 58.125 (56.543) Prec@5 86.250 (84.847) Epoch: [82][4770/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.7221 (1.6137) Prec@1 56.875 (56.538) Prec@5 83.750 (84.846) Epoch: [82][4780/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.7250 (1.6138) Prec@1 53.750 (56.534) Prec@5 84.375 (84.844) Epoch: [82][4790/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.5933 (1.6139) Prec@1 59.375 (56.535) Prec@5 83.125 (84.842) Epoch: [82][4800/11272] Time 0.892 (0.775) Data 0.002 (0.002) Loss 1.6596 (1.6138) Prec@1 58.125 (56.538) Prec@5 81.875 (84.842) Epoch: [82][4810/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.6294 (1.6138) Prec@1 56.250 (56.539) Prec@5 84.375 (84.841) Epoch: [82][4820/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.5296 (1.6139) Prec@1 58.125 (56.535) Prec@5 84.375 (84.840) Epoch: [82][4830/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.4737 (1.6141) Prec@1 58.125 (56.531) Prec@5 87.500 (84.839) Epoch: [82][4840/11272] Time 0.850 (0.775) Data 0.001 (0.002) Loss 1.6483 (1.6140) Prec@1 51.250 (56.532) Prec@5 86.250 (84.838) Epoch: [82][4850/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5235 (1.6140) Prec@1 56.250 (56.530) Prec@5 85.625 (84.838) Epoch: [82][4860/11272] Time 0.722 (0.775) Data 0.002 (0.002) Loss 1.5129 (1.6139) Prec@1 61.250 (56.533) Prec@5 85.000 (84.840) Epoch: [82][4870/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.6043 (1.6140) Prec@1 56.250 (56.530) Prec@5 85.625 (84.839) Epoch: [82][4880/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.4904 (1.6139) Prec@1 55.000 (56.532) Prec@5 86.875 (84.837) Epoch: [82][4890/11272] Time 0.872 (0.775) Data 0.002 (0.002) Loss 1.6522 (1.6140) Prec@1 52.500 (56.529) Prec@5 85.000 (84.837) Epoch: [82][4900/11272] Time 0.747 (0.775) Data 0.001 (0.002) Loss 1.4857 (1.6141) Prec@1 58.750 (56.525) Prec@5 85.000 (84.837) Epoch: [82][4910/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.7682 (1.6142) Prec@1 52.500 (56.520) Prec@5 83.750 (84.835) Epoch: [82][4920/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5923 (1.6141) Prec@1 52.500 (56.523) Prec@5 83.750 (84.836) Epoch: [82][4930/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.4364 (1.6139) Prec@1 60.625 (56.528) Prec@5 88.750 (84.840) Epoch: [82][4940/11272] Time 0.761 (0.775) Data 0.001 (0.002) Loss 1.5437 (1.6138) Prec@1 60.625 (56.532) Prec@5 87.500 (84.840) Epoch: [82][4950/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5144 (1.6138) Prec@1 58.125 (56.532) Prec@5 83.750 (84.838) Epoch: [82][4960/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.6755 (1.6138) Prec@1 56.875 (56.533) Prec@5 80.625 (84.838) Epoch: [82][4970/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.4698 (1.6138) Prec@1 60.000 (56.533) Prec@5 87.500 (84.837) Epoch: [82][4980/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4655 (1.6140) Prec@1 56.875 (56.529) Prec@5 88.750 (84.832) Epoch: [82][4990/11272] Time 0.849 (0.775) Data 0.002 (0.002) Loss 1.8062 (1.6140) Prec@1 50.625 (56.532) Prec@5 83.125 (84.832) Epoch: [82][5000/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.5829 (1.6141) Prec@1 58.750 (56.528) Prec@5 85.625 (84.830) Epoch: [82][5010/11272] Time 0.751 (0.775) Data 0.002 (0.002) Loss 1.6141 (1.6141) Prec@1 53.750 (56.528) Prec@5 85.625 (84.828) Epoch: [82][5020/11272] Time 0.707 (0.775) Data 0.002 (0.002) Loss 1.6770 (1.6141) Prec@1 59.375 (56.530) Prec@5 78.750 (84.828) Epoch: [82][5030/11272] Time 0.862 (0.775) Data 0.002 (0.002) Loss 1.4832 (1.6143) Prec@1 58.750 (56.524) Prec@5 85.000 (84.825) Epoch: [82][5040/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.7998 (1.6145) Prec@1 55.625 (56.519) Prec@5 85.000 (84.822) Epoch: [82][5050/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.7068 (1.6145) Prec@1 56.875 (56.523) Prec@5 81.250 (84.821) Epoch: [82][5060/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.7309 (1.6144) Prec@1 53.750 (56.524) Prec@5 83.750 (84.824) Epoch: [82][5070/11272] Time 0.828 (0.775) Data 0.002 (0.002) Loss 1.5666 (1.6145) Prec@1 56.250 (56.522) Prec@5 85.625 (84.823) Epoch: [82][5080/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.9775 (1.6145) Prec@1 48.125 (56.520) Prec@5 79.375 (84.822) Epoch: [82][5090/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.7413 (1.6145) Prec@1 52.500 (56.518) Prec@5 86.250 (84.825) Epoch: [82][5100/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5740 (1.6147) Prec@1 53.750 (56.516) Prec@5 85.625 (84.823) Epoch: [82][5110/11272] Time 0.811 (0.775) Data 0.002 (0.002) Loss 1.4014 (1.6147) Prec@1 59.375 (56.516) Prec@5 88.750 (84.827) Epoch: [82][5120/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.5123 (1.6147) Prec@1 58.750 (56.517) Prec@5 87.500 (84.827) Epoch: [82][5130/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.5046 (1.6147) Prec@1 56.250 (56.514) Prec@5 86.250 (84.828) Epoch: [82][5140/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.6791 (1.6147) Prec@1 52.500 (56.511) Prec@5 84.375 (84.828) Epoch: [82][5150/11272] Time 0.875 (0.775) Data 0.002 (0.002) Loss 1.4866 (1.6148) Prec@1 57.500 (56.507) Prec@5 88.125 (84.828) Epoch: [82][5160/11272] Time 0.748 (0.775) Data 0.002 (0.002) Loss 1.8408 (1.6150) Prec@1 51.875 (56.503) Prec@5 81.875 (84.825) Epoch: [82][5170/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5374 (1.6150) Prec@1 63.750 (56.504) Prec@5 84.375 (84.824) Epoch: [82][5180/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.4242 (1.6150) Prec@1 60.000 (56.503) Prec@5 87.500 (84.823) Epoch: [82][5190/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.6841 (1.6150) Prec@1 54.375 (56.503) Prec@5 85.000 (84.823) Epoch: [82][5200/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.5041 (1.6151) Prec@1 60.625 (56.501) Prec@5 86.250 (84.822) Epoch: [82][5210/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.5063 (1.6152) Prec@1 56.875 (56.500) Prec@5 86.875 (84.820) Epoch: [82][5220/11272] Time 0.859 (0.775) Data 0.002 (0.002) Loss 1.6058 (1.6153) Prec@1 53.750 (56.495) Prec@5 86.250 (84.819) Epoch: [82][5230/11272] Time 0.769 (0.775) Data 0.001 (0.002) Loss 1.7200 (1.6152) Prec@1 53.750 (56.496) Prec@5 81.875 (84.819) Epoch: [82][5240/11272] Time 0.755 (0.775) Data 0.001 (0.002) Loss 1.6246 (1.6152) Prec@1 54.375 (56.497) Prec@5 86.250 (84.818) Epoch: [82][5250/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6171 (1.6153) Prec@1 59.375 (56.497) Prec@5 84.375 (84.814) Epoch: [82][5260/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.7726 (1.6153) Prec@1 56.250 (56.495) Prec@5 82.500 (84.813) Epoch: [82][5270/11272] Time 0.767 (0.775) Data 0.001 (0.002) Loss 1.6060 (1.6153) Prec@1 54.375 (56.492) Prec@5 83.750 (84.814) Epoch: [82][5280/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.7860 (1.6153) Prec@1 55.000 (56.496) Prec@5 81.875 (84.815) Epoch: [82][5290/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7666 (1.6153) Prec@1 51.875 (56.494) Prec@5 83.125 (84.812) Epoch: [82][5300/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5289 (1.6154) Prec@1 55.625 (56.491) Prec@5 85.000 (84.811) Epoch: [82][5310/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.7083 (1.6154) Prec@1 55.625 (56.491) Prec@5 81.875 (84.811) Epoch: [82][5320/11272] Time 0.726 (0.775) Data 0.002 (0.002) Loss 1.4266 (1.6154) Prec@1 61.250 (56.490) Prec@5 91.875 (84.811) Epoch: [82][5330/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.8322 (1.6154) Prec@1 48.750 (56.488) Prec@5 80.625 (84.812) Epoch: [82][5340/11272] Time 0.728 (0.775) Data 0.003 (0.002) Loss 1.7197 (1.6153) Prec@1 51.250 (56.488) Prec@5 83.750 (84.814) Epoch: [82][5350/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.5023 (1.6153) Prec@1 59.375 (56.487) Prec@5 85.625 (84.815) Epoch: [82][5360/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.4351 (1.6153) Prec@1 60.625 (56.489) Prec@5 86.250 (84.813) Epoch: [82][5370/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.6593 (1.6153) Prec@1 53.125 (56.488) Prec@5 85.625 (84.812) Epoch: [82][5380/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.5256 (1.6155) Prec@1 56.250 (56.482) Prec@5 88.125 (84.810) Epoch: [82][5390/11272] Time 0.708 (0.775) Data 0.002 (0.002) Loss 1.6917 (1.6157) Prec@1 51.250 (56.479) Prec@5 84.375 (84.810) Epoch: [82][5400/11272] Time 0.834 (0.775) Data 0.002 (0.002) Loss 1.6183 (1.6156) Prec@1 59.375 (56.482) Prec@5 86.250 (84.812) Epoch: [82][5410/11272] Time 0.842 (0.775) Data 0.001 (0.002) Loss 1.7940 (1.6158) Prec@1 49.375 (56.478) Prec@5 83.125 (84.809) Epoch: [82][5420/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.5654 (1.6157) Prec@1 55.625 (56.479) Prec@5 86.875 (84.810) Epoch: [82][5430/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5730 (1.6159) Prec@1 55.625 (56.473) Prec@5 84.375 (84.807) Epoch: [82][5440/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.5796 (1.6158) Prec@1 59.375 (56.474) Prec@5 86.250 (84.807) Epoch: [82][5450/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.7142 (1.6157) Prec@1 51.250 (56.478) Prec@5 84.375 (84.809) Epoch: [82][5460/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.6672 (1.6158) Prec@1 55.000 (56.474) Prec@5 83.125 (84.806) Epoch: [82][5470/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.5709 (1.6160) Prec@1 59.375 (56.472) Prec@5 87.500 (84.804) Epoch: [82][5480/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.9716 (1.6160) Prec@1 49.375 (56.472) Prec@5 77.500 (84.805) Epoch: [82][5490/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7709 (1.6160) Prec@1 53.750 (56.473) Prec@5 85.625 (84.805) Epoch: [82][5500/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5259 (1.6159) Prec@1 58.125 (56.477) Prec@5 85.625 (84.808) Epoch: [82][5510/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.6582 (1.6159) Prec@1 53.125 (56.474) Prec@5 81.875 (84.807) Epoch: [82][5520/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.5269 (1.6159) Prec@1 56.875 (56.477) Prec@5 87.500 (84.807) Epoch: [82][5530/11272] Time 0.709 (0.775) Data 0.002 (0.002) Loss 1.7407 (1.6158) Prec@1 56.250 (56.480) Prec@5 80.625 (84.806) Epoch: [82][5540/11272] Time 0.685 (0.775) Data 0.001 (0.002) Loss 1.3970 (1.6157) Prec@1 60.625 (56.484) Prec@5 90.000 (84.808) Epoch: [82][5550/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.8929 (1.6157) Prec@1 50.625 (56.485) Prec@5 81.875 (84.808) Epoch: [82][5560/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.4624 (1.6156) Prec@1 53.125 (56.484) Prec@5 88.750 (84.810) Epoch: [82][5570/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5061 (1.6156) Prec@1 58.125 (56.483) Prec@5 86.875 (84.810) Epoch: [82][5580/11272] Time 0.746 (0.775) Data 0.001 (0.002) Loss 1.7062 (1.6157) Prec@1 53.125 (56.481) Prec@5 86.250 (84.809) Epoch: [82][5590/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5455 (1.6157) Prec@1 56.875 (56.479) Prec@5 87.500 (84.811) Epoch: [82][5600/11272] Time 0.710 (0.775) Data 0.004 (0.002) Loss 1.5192 (1.6158) Prec@1 59.375 (56.478) Prec@5 83.750 (84.809) Epoch: [82][5610/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.7664 (1.6159) Prec@1 54.375 (56.477) Prec@5 80.625 (84.809) Epoch: [82][5620/11272] Time 0.849 (0.775) Data 0.002 (0.002) Loss 1.5272 (1.6158) Prec@1 58.750 (56.479) Prec@5 85.625 (84.810) Epoch: [82][5630/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7262 (1.6160) Prec@1 56.875 (56.477) Prec@5 85.000 (84.807) Epoch: [82][5640/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5088 (1.6160) Prec@1 60.000 (56.476) Prec@5 85.625 (84.806) Epoch: [82][5650/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.5571 (1.6159) Prec@1 58.750 (56.478) Prec@5 85.000 (84.806) Epoch: [82][5660/11272] Time 0.849 (0.775) Data 0.001 (0.002) Loss 1.7171 (1.6160) Prec@1 56.250 (56.477) Prec@5 83.750 (84.804) Epoch: [82][5670/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.4326 (1.6160) Prec@1 58.750 (56.477) Prec@5 90.000 (84.805) Epoch: [82][5680/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.8540 (1.6161) Prec@1 53.125 (56.474) Prec@5 81.875 (84.804) Epoch: [82][5690/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.5348 (1.6162) Prec@1 56.875 (56.473) Prec@5 85.000 (84.803) Epoch: [82][5700/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.7693 (1.6161) Prec@1 53.750 (56.476) Prec@5 82.500 (84.805) Epoch: [82][5710/11272] Time 0.837 (0.775) Data 0.001 (0.002) Loss 1.4238 (1.6161) Prec@1 60.625 (56.474) Prec@5 88.125 (84.806) Epoch: [82][5720/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.7234 (1.6161) Prec@1 53.125 (56.472) Prec@5 81.875 (84.805) Epoch: [82][5730/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7441 (1.6161) Prec@1 55.625 (56.473) Prec@5 82.500 (84.806) Epoch: [82][5740/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.5997 (1.6161) Prec@1 58.125 (56.477) Prec@5 83.750 (84.806) Epoch: [82][5750/11272] Time 0.750 (0.775) Data 0.001 (0.002) Loss 1.6352 (1.6160) Prec@1 56.250 (56.481) Prec@5 86.250 (84.808) Epoch: [82][5760/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5546 (1.6159) Prec@1 59.375 (56.481) Prec@5 86.250 (84.809) Epoch: [82][5770/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.6997 (1.6159) Prec@1 55.000 (56.481) Prec@5 83.125 (84.809) Epoch: [82][5780/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.7873 (1.6161) Prec@1 53.750 (56.477) Prec@5 81.250 (84.809) Epoch: [82][5790/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.4971 (1.6159) Prec@1 56.250 (56.481) Prec@5 82.500 (84.809) Epoch: [82][5800/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.8207 (1.6160) Prec@1 55.625 (56.478) Prec@5 80.625 (84.808) Epoch: [82][5810/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5764 (1.6159) Prec@1 56.875 (56.480) Prec@5 85.000 (84.809) Epoch: [82][5820/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.5344 (1.6159) Prec@1 57.500 (56.482) Prec@5 86.875 (84.811) Epoch: [82][5830/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.3886 (1.6157) Prec@1 61.875 (56.488) Prec@5 86.875 (84.813) Epoch: [82][5840/11272] Time 0.705 (0.775) Data 0.002 (0.002) Loss 1.4113 (1.6158) Prec@1 58.125 (56.488) Prec@5 89.375 (84.810) Epoch: [82][5850/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.4832 (1.6158) Prec@1 63.750 (56.487) Prec@5 84.375 (84.810) Epoch: [82][5860/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.7537 (1.6159) Prec@1 57.500 (56.487) Prec@5 82.500 (84.808) Epoch: [82][5870/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.6222 (1.6158) Prec@1 60.000 (56.488) Prec@5 83.125 (84.808) Epoch: [82][5880/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.4858 (1.6159) Prec@1 62.500 (56.488) Prec@5 89.375 (84.808) Epoch: [82][5890/11272] Time 0.851 (0.775) Data 0.001 (0.002) Loss 1.4276 (1.6159) Prec@1 61.875 (56.488) Prec@5 85.625 (84.809) Epoch: [82][5900/11272] Time 0.749 (0.775) Data 0.002 (0.002) Loss 1.6724 (1.6159) Prec@1 46.250 (56.485) Prec@5 89.375 (84.809) Epoch: [82][5910/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.5659 (1.6160) Prec@1 56.250 (56.483) Prec@5 84.375 (84.806) Epoch: [82][5920/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.5829 (1.6161) Prec@1 55.000 (56.481) Prec@5 84.375 (84.804) Epoch: [82][5930/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.7092 (1.6160) Prec@1 55.000 (56.483) Prec@5 82.500 (84.806) Epoch: [82][5940/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.7068 (1.6160) Prec@1 53.125 (56.482) Prec@5 81.875 (84.806) Epoch: [82][5950/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5745 (1.6161) Prec@1 55.000 (56.481) Prec@5 87.500 (84.805) Epoch: [82][5960/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.4706 (1.6160) Prec@1 55.000 (56.479) Prec@5 86.875 (84.809) Epoch: [82][5970/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.6117 (1.6161) Prec@1 54.375 (56.477) Prec@5 83.750 (84.808) Epoch: [82][5980/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.3555 (1.6160) Prec@1 60.625 (56.477) Prec@5 90.625 (84.810) Epoch: [82][5990/11272] Time 0.757 (0.775) Data 0.001 (0.002) Loss 1.6553 (1.6160) Prec@1 63.125 (56.478) Prec@5 83.125 (84.809) Epoch: [82][6000/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.8464 (1.6161) Prec@1 51.875 (56.476) Prec@5 79.375 (84.809) Epoch: [82][6010/11272] Time 0.763 (0.775) Data 0.001 (0.002) Loss 1.5732 (1.6160) Prec@1 61.250 (56.479) Prec@5 86.250 (84.812) Epoch: [82][6020/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.8142 (1.6160) Prec@1 50.000 (56.477) Prec@5 81.875 (84.811) Epoch: [82][6030/11272] Time 0.814 (0.775) Data 0.002 (0.002) Loss 1.4386 (1.6161) Prec@1 53.750 (56.473) Prec@5 87.500 (84.810) Epoch: [82][6040/11272] Time 0.842 (0.775) Data 0.001 (0.002) Loss 1.5251 (1.6161) Prec@1 57.500 (56.472) Prec@5 86.875 (84.809) Epoch: [82][6050/11272] Time 0.754 (0.775) Data 0.002 (0.002) Loss 1.6572 (1.6162) Prec@1 57.500 (56.474) Prec@5 82.500 (84.810) Epoch: [82][6060/11272] Time 0.776 (0.775) Data 0.001 (0.002) Loss 1.7315 (1.6162) Prec@1 53.750 (56.474) Prec@5 81.875 (84.810) Epoch: [82][6070/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6862 (1.6162) Prec@1 56.250 (56.473) Prec@5 84.375 (84.809) Epoch: [82][6080/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.4616 (1.6163) Prec@1 58.750 (56.472) Prec@5 88.750 (84.809) Epoch: [82][6090/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.7281 (1.6163) Prec@1 56.250 (56.472) Prec@5 81.875 (84.809) Epoch: [82][6100/11272] Time 0.686 (0.775) Data 0.001 (0.002) Loss 1.7666 (1.6163) Prec@1 47.500 (56.472) Prec@5 86.250 (84.808) Epoch: [82][6110/11272] Time 0.795 (0.775) Data 0.001 (0.002) Loss 1.4953 (1.6162) Prec@1 58.750 (56.474) Prec@5 88.125 (84.809) Epoch: [82][6120/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.5687 (1.6163) Prec@1 53.750 (56.470) Prec@5 83.125 (84.809) Epoch: [82][6130/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6975 (1.6163) Prec@1 56.250 (56.471) Prec@5 83.750 (84.809) Epoch: [82][6140/11272] Time 0.774 (0.775) Data 0.001 (0.002) Loss 1.6478 (1.6163) Prec@1 55.000 (56.471) Prec@5 85.000 (84.809) Epoch: [82][6150/11272] Time 0.782 (0.775) Data 0.001 (0.002) Loss 1.4646 (1.6163) Prec@1 60.625 (56.476) Prec@5 85.000 (84.810) Epoch: [82][6160/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.8434 (1.6163) Prec@1 54.375 (56.475) Prec@5 80.625 (84.810) Epoch: [82][6170/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.6469 (1.6163) Prec@1 53.750 (56.472) Prec@5 85.625 (84.810) Epoch: [82][6180/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.6037 (1.6162) Prec@1 55.625 (56.473) Prec@5 88.125 (84.813) Epoch: [82][6190/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.7314 (1.6163) Prec@1 51.250 (56.474) Prec@5 82.500 (84.811) Epoch: [82][6200/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.7111 (1.6163) Prec@1 55.000 (56.472) Prec@5 81.875 (84.809) Epoch: [82][6210/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.6061 (1.6163) Prec@1 56.250 (56.470) Prec@5 81.875 (84.810) Epoch: [82][6220/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.4938 (1.6162) Prec@1 58.125 (56.467) Prec@5 86.875 (84.812) Epoch: [82][6230/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6117 (1.6162) Prec@1 56.875 (56.466) Prec@5 88.125 (84.814) Epoch: [82][6240/11272] Time 0.682 (0.775) Data 0.001 (0.002) Loss 1.8258 (1.6163) Prec@1 51.875 (56.462) Prec@5 81.250 (84.812) Epoch: [82][6250/11272] Time 0.705 (0.775) Data 0.002 (0.002) Loss 1.5812 (1.6164) Prec@1 59.375 (56.461) Prec@5 86.875 (84.811) Epoch: [82][6260/11272] Time 0.813 (0.775) Data 0.002 (0.002) Loss 1.6562 (1.6164) Prec@1 53.125 (56.457) Prec@5 85.000 (84.813) Epoch: [82][6270/11272] Time 0.715 (0.775) Data 0.003 (0.002) Loss 1.5657 (1.6163) Prec@1 59.375 (56.458) Prec@5 85.000 (84.815) Epoch: [82][6280/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5357 (1.6163) Prec@1 58.750 (56.458) Prec@5 85.000 (84.813) Epoch: [82][6290/11272] Time 0.843 (0.775) Data 0.002 (0.002) Loss 1.7691 (1.6163) Prec@1 55.000 (56.460) Prec@5 82.500 (84.815) Epoch: [82][6300/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.7639 (1.6162) Prec@1 51.250 (56.460) Prec@5 79.375 (84.815) Epoch: [82][6310/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.4929 (1.6162) Prec@1 54.375 (56.461) Prec@5 88.125 (84.815) Epoch: [82][6320/11272] Time 0.743 (0.775) Data 0.001 (0.002) Loss 1.4784 (1.6162) Prec@1 61.875 (56.464) Prec@5 85.625 (84.814) Epoch: [82][6330/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.4396 (1.6162) Prec@1 63.125 (56.464) Prec@5 87.500 (84.813) Epoch: [82][6340/11272] Time 0.795 (0.775) Data 0.002 (0.002) Loss 1.3940 (1.6163) Prec@1 60.625 (56.463) Prec@5 90.000 (84.813) Epoch: [82][6350/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.5768 (1.6162) Prec@1 56.250 (56.466) Prec@5 84.375 (84.812) Epoch: [82][6360/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.8180 (1.6162) Prec@1 51.875 (56.466) Prec@5 83.750 (84.812) Epoch: [82][6370/11272] Time 0.795 (0.775) Data 0.001 (0.002) Loss 1.6464 (1.6163) Prec@1 58.750 (56.464) Prec@5 85.000 (84.812) Epoch: [82][6380/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.4229 (1.6163) Prec@1 63.125 (56.463) Prec@5 88.125 (84.810) Epoch: [82][6390/11272] Time 0.736 (0.775) Data 0.002 (0.002) Loss 1.6242 (1.6164) Prec@1 56.875 (56.461) Prec@5 83.750 (84.809) Epoch: [82][6400/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.5454 (1.6163) Prec@1 60.000 (56.462) Prec@5 84.375 (84.809) Epoch: [82][6410/11272] Time 0.769 (0.775) Data 0.001 (0.002) Loss 1.5822 (1.6163) Prec@1 60.625 (56.462) Prec@5 85.625 (84.809) Epoch: [82][6420/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.4629 (1.6163) Prec@1 61.250 (56.461) Prec@5 86.250 (84.808) Epoch: [82][6430/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.3700 (1.6162) Prec@1 60.000 (56.463) Prec@5 90.000 (84.811) Epoch: [82][6440/11272] Time 0.847 (0.775) Data 0.001 (0.002) Loss 1.7739 (1.6162) Prec@1 49.375 (56.463) Prec@5 80.625 (84.812) Epoch: [82][6450/11272] Time 0.821 (0.775) Data 0.002 (0.002) Loss 1.5244 (1.6162) Prec@1 55.625 (56.461) Prec@5 88.125 (84.812) Epoch: [82][6460/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.6299 (1.6162) Prec@1 55.625 (56.464) Prec@5 83.125 (84.812) Epoch: [82][6470/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5246 (1.6161) Prec@1 61.250 (56.465) Prec@5 87.500 (84.813) Epoch: [82][6480/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.6386 (1.6161) Prec@1 56.250 (56.466) Prec@5 84.375 (84.813) Epoch: [82][6490/11272] Time 0.775 (0.775) Data 0.001 (0.002) Loss 1.6229 (1.6162) Prec@1 56.250 (56.463) Prec@5 85.000 (84.812) Epoch: [82][6500/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.8131 (1.6163) Prec@1 54.375 (56.462) Prec@5 79.375 (84.809) Epoch: [82][6510/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.6715 (1.6163) Prec@1 53.125 (56.462) Prec@5 83.750 (84.809) Epoch: [82][6520/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6896 (1.6165) Prec@1 56.875 (56.460) Prec@5 80.625 (84.808) Epoch: [82][6530/11272] Time 0.739 (0.775) Data 0.002 (0.002) Loss 1.7697 (1.6167) Prec@1 46.250 (56.455) Prec@5 85.000 (84.805) Epoch: [82][6540/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.6222 (1.6167) Prec@1 56.250 (56.454) Prec@5 81.250 (84.801) Epoch: [82][6550/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.4194 (1.6167) Prec@1 57.500 (56.453) Prec@5 91.250 (84.800) Epoch: [82][6560/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5796 (1.6168) Prec@1 57.500 (56.450) Prec@5 85.000 (84.797) Epoch: [82][6570/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.7110 (1.6167) Prec@1 49.375 (56.451) Prec@5 85.625 (84.799) Epoch: [82][6580/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.3471 (1.6167) Prec@1 62.500 (56.452) Prec@5 89.375 (84.800) Epoch: [82][6590/11272] Time 0.858 (0.775) Data 0.001 (0.002) Loss 1.6245 (1.6166) Prec@1 50.625 (56.454) Prec@5 88.125 (84.803) Epoch: [82][6600/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6982 (1.6166) Prec@1 51.875 (56.453) Prec@5 80.000 (84.802) Epoch: [82][6610/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.7378 (1.6167) Prec@1 52.500 (56.449) Prec@5 85.625 (84.800) Epoch: [82][6620/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.7155 (1.6168) Prec@1 53.750 (56.447) Prec@5 85.000 (84.798) Epoch: [82][6630/11272] Time 0.834 (0.775) Data 0.002 (0.002) Loss 1.5748 (1.6168) Prec@1 57.500 (56.446) Prec@5 83.750 (84.798) Epoch: [82][6640/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.5023 (1.6166) Prec@1 56.875 (56.449) Prec@5 86.875 (84.801) Epoch: [82][6650/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.7384 (1.6165) Prec@1 52.500 (56.451) Prec@5 83.125 (84.801) Epoch: [82][6660/11272] Time 0.777 (0.775) Data 0.001 (0.002) Loss 1.6173 (1.6165) Prec@1 53.750 (56.449) Prec@5 85.625 (84.801) Epoch: [82][6670/11272] Time 0.821 (0.775) Data 0.002 (0.002) Loss 1.7912 (1.6166) Prec@1 53.125 (56.449) Prec@5 85.625 (84.800) Epoch: [82][6680/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.8144 (1.6167) Prec@1 49.375 (56.444) Prec@5 81.875 (84.799) Epoch: [82][6690/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6393 (1.6167) Prec@1 53.750 (56.446) Prec@5 83.125 (84.798) Epoch: [82][6700/11272] Time 0.889 (0.775) Data 0.001 (0.002) Loss 1.6399 (1.6167) Prec@1 56.250 (56.444) Prec@5 85.625 (84.797) Epoch: [82][6710/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7934 (1.6167) Prec@1 55.625 (56.445) Prec@5 80.625 (84.796) Epoch: [82][6720/11272] Time 0.751 (0.775) Data 0.002 (0.002) Loss 1.4938 (1.6167) Prec@1 56.250 (56.445) Prec@5 86.250 (84.797) Epoch: [82][6730/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.5495 (1.6168) Prec@1 58.125 (56.444) Prec@5 85.625 (84.794) Epoch: [82][6740/11272] Time 0.829 (0.775) Data 0.002 (0.002) Loss 1.8640 (1.6168) Prec@1 51.250 (56.445) Prec@5 81.875 (84.794) Epoch: [82][6750/11272] Time 0.854 (0.775) Data 0.002 (0.002) Loss 1.8361 (1.6169) Prec@1 48.125 (56.442) Prec@5 80.625 (84.793) Epoch: [82][6760/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.5551 (1.6169) Prec@1 61.250 (56.441) Prec@5 85.625 (84.792) Epoch: [82][6770/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.5509 (1.6169) Prec@1 55.000 (56.440) Prec@5 86.250 (84.792) Epoch: [82][6780/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6682 (1.6169) Prec@1 55.000 (56.438) Prec@5 81.250 (84.794) Epoch: [82][6790/11272] Time 0.841 (0.775) Data 0.004 (0.002) Loss 1.7698 (1.6170) Prec@1 50.625 (56.437) Prec@5 84.375 (84.792) Epoch: [82][6800/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.4204 (1.6168) Prec@1 62.500 (56.441) Prec@5 88.750 (84.796) Epoch: [82][6810/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.5133 (1.6168) Prec@1 60.000 (56.442) Prec@5 86.875 (84.797) Epoch: [82][6820/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5025 (1.6167) Prec@1 57.500 (56.443) Prec@5 86.875 (84.797) Epoch: [82][6830/11272] Time 0.746 (0.775) Data 0.002 (0.002) Loss 1.5576 (1.6167) Prec@1 58.750 (56.445) Prec@5 83.750 (84.798) Epoch: [82][6840/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.6578 (1.6166) Prec@1 56.250 (56.446) Prec@5 85.625 (84.799) Epoch: [82][6850/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.7584 (1.6166) Prec@1 53.750 (56.445) Prec@5 81.250 (84.799) Epoch: [82][6860/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.6881 (1.6166) Prec@1 54.375 (56.445) Prec@5 81.875 (84.798) Epoch: [82][6870/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6773 (1.6167) Prec@1 60.000 (56.445) Prec@5 78.750 (84.796) Epoch: [82][6880/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.3477 (1.6166) Prec@1 65.000 (56.447) Prec@5 89.375 (84.798) Epoch: [82][6890/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.8578 (1.6167) Prec@1 55.625 (56.442) Prec@5 83.125 (84.799) Epoch: [82][6900/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.7055 (1.6167) Prec@1 55.625 (56.444) Prec@5 83.125 (84.799) Epoch: [82][6910/11272] Time 0.744 (0.775) Data 0.002 (0.002) Loss 1.5988 (1.6167) Prec@1 56.875 (56.444) Prec@5 82.500 (84.797) Epoch: [82][6920/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.3641 (1.6167) Prec@1 65.625 (56.443) Prec@5 88.750 (84.797) Epoch: [82][6930/11272] Time 0.860 (0.775) Data 0.002 (0.002) Loss 1.7326 (1.6167) Prec@1 55.000 (56.444) Prec@5 81.250 (84.798) Epoch: [82][6940/11272] Time 0.779 (0.775) Data 0.001 (0.002) Loss 1.8399 (1.6168) Prec@1 45.000 (56.442) Prec@5 83.125 (84.798) Epoch: [82][6950/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.3720 (1.6167) Prec@1 63.750 (56.442) Prec@5 90.625 (84.798) Epoch: [82][6960/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.6651 (1.6167) Prec@1 55.000 (56.444) Prec@5 86.250 (84.801) Epoch: [82][6970/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.5536 (1.6166) Prec@1 61.875 (56.444) Prec@5 86.250 (84.801) Epoch: [82][6980/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.5467 (1.6167) Prec@1 58.750 (56.441) Prec@5 83.750 (84.799) Epoch: [82][6990/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.5027 (1.6167) Prec@1 58.750 (56.442) Prec@5 83.750 (84.797) Epoch: [82][7000/11272] Time 0.856 (0.775) Data 0.001 (0.002) Loss 1.4631 (1.6167) Prec@1 60.625 (56.443) Prec@5 87.500 (84.797) Epoch: [82][7010/11272] Time 0.813 (0.775) Data 0.002 (0.002) Loss 1.8287 (1.6168) Prec@1 49.375 (56.443) Prec@5 82.500 (84.795) Epoch: [82][7020/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.2047 (1.6168) Prec@1 63.750 (56.442) Prec@5 91.875 (84.795) Epoch: [82][7030/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.7809 (1.6169) Prec@1 55.000 (56.440) Prec@5 79.375 (84.793) Epoch: [82][7040/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.6824 (1.6170) Prec@1 52.500 (56.438) Prec@5 84.375 (84.793) Epoch: [82][7050/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.5290 (1.6170) Prec@1 55.000 (56.437) Prec@5 87.500 (84.794) Epoch: [82][7060/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.5764 (1.6170) Prec@1 61.250 (56.436) Prec@5 85.000 (84.794) Epoch: [82][7070/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.6708 (1.6171) Prec@1 57.500 (56.436) Prec@5 83.125 (84.794) Epoch: [82][7080/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.3777 (1.6170) Prec@1 63.125 (56.438) Prec@5 86.875 (84.796) Epoch: [82][7090/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5853 (1.6170) Prec@1 56.250 (56.441) Prec@5 85.000 (84.796) Epoch: [82][7100/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.6372 (1.6169) Prec@1 55.000 (56.439) Prec@5 80.000 (84.797) Epoch: [82][7110/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.7781 (1.6170) Prec@1 51.250 (56.439) Prec@5 85.000 (84.795) Epoch: [82][7120/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.7256 (1.6170) Prec@1 54.375 (56.439) Prec@5 81.250 (84.795) Epoch: [82][7130/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6557 (1.6169) Prec@1 58.125 (56.441) Prec@5 83.750 (84.798) Epoch: [82][7140/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.6589 (1.6170) Prec@1 56.875 (56.441) Prec@5 87.500 (84.798) Epoch: [82][7150/11272] Time 0.864 (0.775) Data 0.001 (0.002) Loss 1.8331 (1.6170) Prec@1 52.500 (56.441) Prec@5 83.750 (84.798) Epoch: [82][7160/11272] Time 0.854 (0.775) Data 0.002 (0.002) Loss 1.7826 (1.6171) Prec@1 56.875 (56.442) Prec@5 78.750 (84.794) Epoch: [82][7170/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.8269 (1.6171) Prec@1 51.875 (56.442) Prec@5 81.875 (84.793) Epoch: [82][7180/11272] Time 0.703 (0.775) Data 0.002 (0.002) Loss 2.0070 (1.6172) Prec@1 49.375 (56.442) Prec@5 77.500 (84.791) Epoch: [82][7190/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.4082 (1.6173) Prec@1 56.875 (56.439) Prec@5 87.500 (84.789) Epoch: [82][7200/11272] Time 0.743 (0.775) Data 0.003 (0.002) Loss 1.8206 (1.6174) Prec@1 48.750 (56.437) Prec@5 81.875 (84.789) Epoch: [82][7210/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.6818 (1.6175) Prec@1 56.875 (56.436) Prec@5 81.250 (84.786) Epoch: [82][7220/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.5936 (1.6174) Prec@1 59.375 (56.434) Prec@5 82.500 (84.787) Epoch: [82][7230/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.7763 (1.6174) Prec@1 51.250 (56.434) Prec@5 80.000 (84.786) Epoch: [82][7240/11272] Time 0.739 (0.775) Data 0.002 (0.002) Loss 1.8203 (1.6174) Prec@1 48.750 (56.432) Prec@5 81.250 (84.785) Epoch: [82][7250/11272] Time 0.716 (0.775) Data 0.000 (0.002) Loss 1.7782 (1.6174) Prec@1 56.250 (56.432) Prec@5 83.750 (84.786) Epoch: [82][7260/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7867 (1.6175) Prec@1 53.750 (56.431) Prec@5 82.500 (84.786) Epoch: [82][7270/11272] Time 0.840 (0.775) Data 0.001 (0.002) Loss 1.6620 (1.6176) Prec@1 56.875 (56.427) Prec@5 86.250 (84.784) Epoch: [82][7280/11272] Time 0.746 (0.775) Data 0.002 (0.002) Loss 1.5853 (1.6177) Prec@1 55.625 (56.425) Prec@5 83.750 (84.782) Epoch: [82][7290/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.4329 (1.6177) Prec@1 62.500 (56.426) Prec@5 87.500 (84.783) Epoch: [82][7300/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.7661 (1.6178) Prec@1 49.375 (56.422) Prec@5 82.500 (84.781) Epoch: [82][7310/11272] Time 0.952 (0.775) Data 0.002 (0.002) Loss 1.2745 (1.6178) Prec@1 61.250 (56.423) Prec@5 91.875 (84.781) Epoch: [82][7320/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.4962 (1.6178) Prec@1 60.000 (56.423) Prec@5 87.500 (84.781) Epoch: [82][7330/11272] Time 0.865 (0.775) Data 0.002 (0.002) Loss 1.6889 (1.6178) Prec@1 52.500 (56.421) Prec@5 81.875 (84.780) Epoch: [82][7340/11272] Time 0.870 (0.775) Data 0.002 (0.002) Loss 1.5761 (1.6178) Prec@1 58.750 (56.420) Prec@5 85.625 (84.780) Epoch: [82][7350/11272] Time 0.729 (0.775) Data 0.002 (0.002) Loss 1.6152 (1.6178) Prec@1 57.500 (56.420) Prec@5 81.875 (84.781) Epoch: [82][7360/11272] Time 0.723 (0.775) Data 0.002 (0.002) Loss 1.7326 (1.6179) Prec@1 48.750 (56.414) Prec@5 81.875 (84.780) Epoch: [82][7370/11272] Time 0.850 (0.775) Data 0.002 (0.002) Loss 1.4705 (1.6179) Prec@1 60.000 (56.414) Prec@5 89.375 (84.781) Epoch: [82][7380/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.4331 (1.6179) Prec@1 62.500 (56.414) Prec@5 90.000 (84.780) Epoch: [82][7390/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.8098 (1.6181) Prec@1 52.500 (56.412) Prec@5 80.000 (84.778) Epoch: [82][7400/11272] Time 0.775 (0.775) Data 0.002 (0.002) Loss 1.6414 (1.6181) Prec@1 50.625 (56.410) Prec@5 86.250 (84.776) Epoch: [82][7410/11272] Time 0.883 (0.775) Data 0.002 (0.002) Loss 1.6109 (1.6182) Prec@1 58.750 (56.409) Prec@5 87.500 (84.776) Epoch: [82][7420/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.6718 (1.6182) Prec@1 53.750 (56.409) Prec@5 83.750 (84.776) Epoch: [82][7430/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.7817 (1.6183) Prec@1 55.000 (56.409) Prec@5 79.375 (84.774) Epoch: [82][7440/11272] Time 0.738 (0.775) Data 0.002 (0.002) Loss 1.5802 (1.6183) Prec@1 59.375 (56.408) Prec@5 81.875 (84.774) Epoch: [82][7450/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.6800 (1.6184) Prec@1 57.500 (56.406) Prec@5 83.750 (84.771) Epoch: [82][7460/11272] Time 0.720 (0.775) Data 0.004 (0.002) Loss 1.5494 (1.6184) Prec@1 57.500 (56.407) Prec@5 86.250 (84.770) Epoch: [82][7470/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.8380 (1.6185) Prec@1 51.250 (56.405) Prec@5 80.000 (84.769) Epoch: [82][7480/11272] Time 0.851 (0.775) Data 0.001 (0.002) Loss 1.4645 (1.6184) Prec@1 58.125 (56.405) Prec@5 86.250 (84.770) Epoch: [82][7490/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.6618 (1.6184) Prec@1 59.375 (56.406) Prec@5 83.125 (84.770) Epoch: [82][7500/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.7573 (1.6184) Prec@1 57.500 (56.405) Prec@5 80.000 (84.771) Epoch: [82][7510/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6948 (1.6184) Prec@1 55.000 (56.405) Prec@5 80.625 (84.771) Epoch: [82][7520/11272] Time 0.831 (0.775) Data 0.002 (0.002) Loss 1.6999 (1.6184) Prec@1 53.125 (56.404) Prec@5 82.500 (84.770) Epoch: [82][7530/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.5141 (1.6183) Prec@1 58.750 (56.405) Prec@5 85.000 (84.771) Epoch: [82][7540/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6061 (1.6183) Prec@1 56.875 (56.405) Prec@5 86.875 (84.772) Epoch: [82][7550/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.8597 (1.6183) Prec@1 43.125 (56.403) Prec@5 83.750 (84.773) Epoch: [82][7560/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.4828 (1.6183) Prec@1 58.125 (56.404) Prec@5 87.500 (84.772) Epoch: [82][7570/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.4937 (1.6184) Prec@1 61.250 (56.403) Prec@5 85.625 (84.770) Epoch: [82][7580/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.6630 (1.6184) Prec@1 50.625 (56.403) Prec@5 84.375 (84.770) Epoch: [82][7590/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.6253 (1.6184) Prec@1 53.125 (56.401) Prec@5 83.125 (84.769) Epoch: [82][7600/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.6288 (1.6185) Prec@1 58.750 (56.400) Prec@5 82.500 (84.767) Epoch: [82][7610/11272] Time 0.768 (0.775) Data 0.001 (0.002) Loss 1.6330 (1.6185) Prec@1 55.000 (56.399) Prec@5 83.750 (84.767) Epoch: [82][7620/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6297 (1.6185) Prec@1 51.250 (56.398) Prec@5 86.875 (84.767) Epoch: [82][7630/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.6177 (1.6185) Prec@1 56.250 (56.398) Prec@5 83.125 (84.768) Epoch: [82][7640/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.6004 (1.6185) Prec@1 53.750 (56.398) Prec@5 86.875 (84.768) Epoch: [82][7650/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.5884 (1.6186) Prec@1 57.500 (56.395) Prec@5 87.500 (84.768) Epoch: [82][7660/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6140 (1.6185) Prec@1 57.500 (56.397) Prec@5 85.625 (84.768) Epoch: [82][7670/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5813 (1.6185) Prec@1 63.125 (56.396) Prec@5 84.375 (84.770) Epoch: [82][7680/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5857 (1.6185) Prec@1 56.875 (56.397) Prec@5 86.250 (84.771) Epoch: [82][7690/11272] Time 0.725 (0.775) Data 0.002 (0.002) Loss 1.6264 (1.6185) Prec@1 58.125 (56.394) Prec@5 86.875 (84.771) Epoch: [82][7700/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.9925 (1.6186) Prec@1 46.250 (56.391) Prec@5 79.375 (84.770) Epoch: [82][7710/11272] Time 0.841 (0.775) Data 0.001 (0.002) Loss 1.7817 (1.6187) Prec@1 51.875 (56.386) Prec@5 85.625 (84.770) Epoch: [82][7720/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.4277 (1.6186) Prec@1 61.250 (56.387) Prec@5 88.125 (84.770) Epoch: [82][7730/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5234 (1.6186) Prec@1 55.625 (56.387) Prec@5 85.625 (84.770) Epoch: [82][7740/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.6142 (1.6187) Prec@1 56.875 (56.385) Prec@5 83.750 (84.769) Epoch: [82][7750/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.7479 (1.6187) Prec@1 51.250 (56.386) Prec@5 81.250 (84.770) Epoch: [82][7760/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.8682 (1.6187) Prec@1 56.250 (56.385) Prec@5 78.125 (84.770) Epoch: [82][7770/11272] Time 0.760 (0.775) Data 0.001 (0.002) Loss 1.5204 (1.6187) Prec@1 58.125 (56.383) Prec@5 87.500 (84.771) Epoch: [82][7780/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5339 (1.6189) Prec@1 58.750 (56.377) Prec@5 86.875 (84.768) Epoch: [82][7790/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6120 (1.6190) Prec@1 56.875 (56.376) Prec@5 83.750 (84.767) Epoch: [82][7800/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.5742 (1.6190) Prec@1 57.500 (56.375) Prec@5 89.375 (84.766) Epoch: [82][7810/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.9615 (1.6191) Prec@1 44.375 (56.373) Prec@5 78.750 (84.764) Epoch: [82][7820/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.7524 (1.6191) Prec@1 55.000 (56.372) Prec@5 81.875 (84.763) Epoch: [82][7830/11272] Time 0.795 (0.775) Data 0.001 (0.002) Loss 1.6707 (1.6191) Prec@1 48.750 (56.370) Prec@5 85.000 (84.763) Epoch: [82][7840/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.3064 (1.6190) Prec@1 62.500 (56.373) Prec@5 89.375 (84.763) Epoch: [82][7850/11272] Time 0.757 (0.775) Data 0.001 (0.002) Loss 1.6342 (1.6190) Prec@1 55.625 (56.374) Prec@5 82.500 (84.764) Epoch: [82][7860/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.6498 (1.6190) Prec@1 53.125 (56.373) Prec@5 86.875 (84.764) Epoch: [82][7870/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.5155 (1.6189) Prec@1 62.500 (56.375) Prec@5 83.750 (84.765) Epoch: [82][7880/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.5854 (1.6189) Prec@1 60.625 (56.377) Prec@5 87.500 (84.765) Epoch: [82][7890/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.5401 (1.6189) Prec@1 58.750 (56.377) Prec@5 88.750 (84.767) Epoch: [82][7900/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.7823 (1.6190) Prec@1 56.250 (56.374) Prec@5 84.375 (84.763) Epoch: [82][7910/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6433 (1.6190) Prec@1 53.750 (56.376) Prec@5 85.625 (84.764) Epoch: [82][7920/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6035 (1.6191) Prec@1 54.375 (56.371) Prec@5 86.250 (84.761) Epoch: [82][7930/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6570 (1.6192) Prec@1 56.875 (56.368) Prec@5 85.000 (84.760) Epoch: [82][7940/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6746 (1.6193) Prec@1 56.250 (56.364) Prec@5 81.875 (84.756) Epoch: [82][7950/11272] Time 0.690 (0.775) Data 0.001 (0.002) Loss 1.7069 (1.6193) Prec@1 56.250 (56.362) Prec@5 82.500 (84.756) Epoch: [82][7960/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.4507 (1.6194) Prec@1 61.250 (56.363) Prec@5 89.375 (84.757) Epoch: [82][7970/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.5745 (1.6194) Prec@1 57.500 (56.365) Prec@5 85.000 (84.756) Epoch: [82][7980/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.6625 (1.6194) Prec@1 56.250 (56.366) Prec@5 85.000 (84.756) Epoch: [82][7990/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.6909 (1.6194) Prec@1 51.250 (56.364) Prec@5 87.500 (84.755) Epoch: [82][8000/11272] Time 0.806 (0.775) Data 0.002 (0.002) Loss 1.8114 (1.6196) Prec@1 56.875 (56.362) Prec@5 81.250 (84.752) Epoch: [82][8010/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6189 (1.6197) Prec@1 55.000 (56.361) Prec@5 83.750 (84.752) Epoch: [82][8020/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6545 (1.6197) Prec@1 54.375 (56.361) Prec@5 85.000 (84.753) Epoch: [82][8030/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.5898 (1.6197) Prec@1 56.250 (56.360) Prec@5 86.875 (84.754) Epoch: [82][8040/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.5881 (1.6197) Prec@1 59.375 (56.359) Prec@5 83.750 (84.753) Epoch: [82][8050/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.5942 (1.6197) Prec@1 57.500 (56.359) Prec@5 84.375 (84.753) Epoch: [82][8060/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6403 (1.6196) Prec@1 53.125 (56.361) Prec@5 86.250 (84.755) Epoch: [82][8070/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5320 (1.6196) Prec@1 58.750 (56.360) Prec@5 89.375 (84.755) Epoch: [82][8080/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.7013 (1.6197) Prec@1 50.625 (56.356) Prec@5 85.000 (84.753) Epoch: [82][8090/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6303 (1.6198) Prec@1 58.125 (56.354) Prec@5 83.750 (84.751) Epoch: [82][8100/11272] Time 0.744 (0.775) Data 0.001 (0.002) Loss 1.9262 (1.6199) Prec@1 51.250 (56.353) Prec@5 82.500 (84.751) Epoch: [82][8110/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.7054 (1.6199) Prec@1 53.750 (56.351) Prec@5 81.250 (84.750) Epoch: [82][8120/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7675 (1.6201) Prec@1 51.250 (56.347) Prec@5 80.625 (84.747) Epoch: [82][8130/11272] Time 0.736 (0.775) Data 0.004 (0.002) Loss 1.5353 (1.6200) Prec@1 55.625 (56.347) Prec@5 85.625 (84.748) Epoch: [82][8140/11272] Time 0.688 (0.775) Data 0.001 (0.002) Loss 1.5944 (1.6200) Prec@1 58.125 (56.350) Prec@5 86.250 (84.749) Epoch: [82][8150/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.7200 (1.6200) Prec@1 53.125 (56.349) Prec@5 85.000 (84.750) Epoch: [82][8160/11272] Time 0.833 (0.775) Data 0.002 (0.002) Loss 1.9114 (1.6200) Prec@1 50.625 (56.349) Prec@5 79.375 (84.748) Epoch: [82][8170/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.7578 (1.6200) Prec@1 56.875 (56.351) Prec@5 80.000 (84.749) Epoch: [82][8180/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6266 (1.6199) Prec@1 59.375 (56.354) Prec@5 83.750 (84.749) Epoch: [82][8190/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6843 (1.6199) Prec@1 56.875 (56.354) Prec@5 83.125 (84.749) Epoch: [82][8200/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.6819 (1.6199) Prec@1 55.625 (56.355) Prec@5 81.250 (84.748) Epoch: [82][8210/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.7072 (1.6198) Prec@1 51.250 (56.357) Prec@5 83.125 (84.749) Epoch: [82][8220/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.5330 (1.6198) Prec@1 61.250 (56.357) Prec@5 85.625 (84.750) Epoch: [82][8230/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6760 (1.6198) Prec@1 53.750 (56.359) Prec@5 83.125 (84.751) Epoch: [82][8240/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.7589 (1.6198) Prec@1 56.250 (56.360) Prec@5 85.625 (84.752) Epoch: [82][8250/11272] Time 0.739 (0.775) Data 0.001 (0.002) Loss 1.6153 (1.6197) Prec@1 58.750 (56.362) Prec@5 86.875 (84.753) Epoch: [82][8260/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5617 (1.6199) Prec@1 58.750 (56.360) Prec@5 85.625 (84.752) Epoch: [82][8270/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.7768 (1.6198) Prec@1 54.375 (56.361) Prec@5 81.250 (84.753) Epoch: [82][8280/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.6504 (1.6198) Prec@1 55.000 (56.361) Prec@5 85.000 (84.753) Epoch: [82][8290/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.5154 (1.6198) Prec@1 57.500 (56.362) Prec@5 86.875 (84.754) Epoch: [82][8300/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.7446 (1.6198) Prec@1 55.000 (56.361) Prec@5 83.125 (84.753) Epoch: [82][8310/11272] Time 0.839 (0.775) Data 0.001 (0.002) Loss 1.6297 (1.6198) Prec@1 56.875 (56.363) Prec@5 82.500 (84.754) Epoch: [82][8320/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.4745 (1.6198) Prec@1 57.500 (56.363) Prec@5 86.250 (84.753) Epoch: [82][8330/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.3379 (1.6198) Prec@1 60.625 (56.361) Prec@5 87.500 (84.753) Epoch: [82][8340/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6035 (1.6199) Prec@1 57.500 (56.360) Prec@5 82.500 (84.753) Epoch: [82][8350/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.8957 (1.6200) Prec@1 52.500 (56.357) Prec@5 81.875 (84.752) Epoch: [82][8360/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.8191 (1.6201) Prec@1 50.000 (56.354) Prec@5 81.875 (84.750) Epoch: [82][8370/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6944 (1.6201) Prec@1 53.125 (56.354) Prec@5 83.125 (84.749) Epoch: [82][8380/11272] Time 0.860 (0.775) Data 0.002 (0.002) Loss 1.6488 (1.6201) Prec@1 54.375 (56.352) Prec@5 86.250 (84.749) Epoch: [82][8390/11272] Time 0.704 (0.775) Data 0.003 (0.002) Loss 1.8833 (1.6202) Prec@1 52.500 (56.352) Prec@5 78.125 (84.748) Epoch: [82][8400/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5618 (1.6201) Prec@1 55.000 (56.350) Prec@5 87.500 (84.750) Epoch: [82][8410/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.7151 (1.6201) Prec@1 51.875 (56.350) Prec@5 82.500 (84.750) Epoch: [82][8420/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.6694 (1.6201) Prec@1 53.750 (56.350) Prec@5 85.000 (84.750) Epoch: [82][8430/11272] Time 0.749 (0.775) Data 0.002 (0.002) Loss 1.6206 (1.6201) Prec@1 56.250 (56.349) Prec@5 85.625 (84.750) Epoch: [82][8440/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.5140 (1.6201) Prec@1 58.750 (56.349) Prec@5 87.500 (84.751) Epoch: [82][8450/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.7171 (1.6201) Prec@1 56.875 (56.350) Prec@5 78.125 (84.750) Epoch: [82][8460/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.7547 (1.6201) Prec@1 53.125 (56.350) Prec@5 83.750 (84.749) Epoch: [82][8470/11272] Time 0.749 (0.775) Data 0.001 (0.002) Loss 1.4512 (1.6201) Prec@1 61.875 (56.352) Prec@5 83.750 (84.749) Epoch: [82][8480/11272] Time 0.729 (0.775) Data 0.002 (0.002) Loss 1.5105 (1.6200) Prec@1 58.125 (56.354) Prec@5 87.500 (84.751) Epoch: [82][8490/11272] Time 0.848 (0.775) Data 0.001 (0.002) Loss 1.6828 (1.6201) Prec@1 56.250 (56.353) Prec@5 85.625 (84.750) Epoch: [82][8500/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.8623 (1.6201) Prec@1 52.500 (56.352) Prec@5 77.500 (84.750) Epoch: [82][8510/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6660 (1.6202) Prec@1 53.750 (56.350) Prec@5 85.000 (84.748) Epoch: [82][8520/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5988 (1.6201) Prec@1 58.125 (56.352) Prec@5 83.125 (84.750) Epoch: [82][8530/11272] Time 0.858 (0.775) Data 0.002 (0.002) Loss 1.6641 (1.6201) Prec@1 49.375 (56.354) Prec@5 85.625 (84.751) Epoch: [82][8540/11272] Time 0.745 (0.775) Data 0.001 (0.002) Loss 1.5505 (1.6201) Prec@1 59.375 (56.354) Prec@5 88.750 (84.750) Epoch: [82][8550/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.8014 (1.6201) Prec@1 53.750 (56.354) Prec@5 83.125 (84.749) Epoch: [82][8560/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5654 (1.6201) Prec@1 59.375 (56.355) Prec@5 84.375 (84.749) Epoch: [82][8570/11272] Time 0.842 (0.775) Data 0.002 (0.002) Loss 1.7797 (1.6202) Prec@1 47.500 (56.353) Prec@5 81.875 (84.749) Epoch: [82][8580/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.5531 (1.6200) Prec@1 58.750 (56.356) Prec@5 86.875 (84.752) Epoch: [82][8590/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.5213 (1.6200) Prec@1 56.875 (56.356) Prec@5 85.625 (84.753) Epoch: [82][8600/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.7450 (1.6201) Prec@1 51.875 (56.353) Prec@5 80.625 (84.752) Epoch: [82][8610/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6379 (1.6202) Prec@1 56.250 (56.352) Prec@5 82.500 (84.751) Epoch: [82][8620/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7045 (1.6202) Prec@1 55.625 (56.348) Prec@5 84.375 (84.751) Epoch: [82][8630/11272] Time 0.696 (0.775) Data 0.001 (0.002) Loss 1.5248 (1.6202) Prec@1 58.125 (56.348) Prec@5 88.750 (84.750) Epoch: [82][8640/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.5302 (1.6202) Prec@1 63.750 (56.349) Prec@5 86.250 (84.750) Epoch: [82][8650/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.6506 (1.6202) Prec@1 57.500 (56.349) Prec@5 86.250 (84.751) Epoch: [82][8660/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.6540 (1.6202) Prec@1 58.125 (56.350) Prec@5 81.875 (84.751) Epoch: [82][8670/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.5942 (1.6203) Prec@1 53.125 (56.348) Prec@5 87.500 (84.750) Epoch: [82][8680/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.5855 (1.6203) Prec@1 56.250 (56.347) Prec@5 85.625 (84.749) Epoch: [82][8690/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.5237 (1.6203) Prec@1 60.625 (56.347) Prec@5 87.500 (84.749) Epoch: [82][8700/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6630 (1.6204) Prec@1 56.875 (56.345) Prec@5 81.875 (84.749) Epoch: [82][8710/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.7665 (1.6205) Prec@1 56.250 (56.344) Prec@5 83.750 (84.747) Epoch: [82][8720/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.4736 (1.6205) Prec@1 58.750 (56.345) Prec@5 84.375 (84.746) Epoch: [82][8730/11272] Time 0.730 (0.775) Data 0.001 (0.002) Loss 1.5458 (1.6205) Prec@1 55.625 (56.345) Prec@5 86.250 (84.747) Epoch: [82][8740/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7180 (1.6205) Prec@1 58.125 (56.346) Prec@5 85.625 (84.747) Epoch: [82][8750/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.7321 (1.6205) Prec@1 51.250 (56.345) Prec@5 84.375 (84.746) Epoch: [82][8760/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5018 (1.6205) Prec@1 58.125 (56.345) Prec@5 85.625 (84.747) Epoch: [82][8770/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.6269 (1.6205) Prec@1 54.375 (56.343) Prec@5 86.250 (84.747) Epoch: [82][8780/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.9022 (1.6205) Prec@1 49.375 (56.342) Prec@5 80.625 (84.748) Epoch: [82][8790/11272] Time 0.807 (0.775) Data 0.002 (0.002) Loss 1.5647 (1.6205) Prec@1 54.375 (56.341) Prec@5 86.875 (84.748) Epoch: [82][8800/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.7083 (1.6204) Prec@1 55.000 (56.342) Prec@5 83.750 (84.748) Epoch: [82][8810/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.7643 (1.6203) Prec@1 50.000 (56.344) Prec@5 82.500 (84.749) Epoch: [82][8820/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.4579 (1.6203) Prec@1 60.000 (56.346) Prec@5 86.875 (84.749) Epoch: [82][8830/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.6934 (1.6205) Prec@1 53.750 (56.344) Prec@5 80.625 (84.746) Epoch: [82][8840/11272] Time 0.700 (0.775) Data 0.001 (0.002) Loss 1.7333 (1.6205) Prec@1 51.250 (56.343) Prec@5 81.250 (84.744) Epoch: [82][8850/11272] Time 0.719 (0.775) Data 0.002 (0.002) Loss 1.6367 (1.6205) Prec@1 55.625 (56.343) Prec@5 85.000 (84.744) Epoch: [82][8860/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.3645 (1.6205) Prec@1 61.875 (56.342) Prec@5 87.500 (84.744) Epoch: [82][8870/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.7641 (1.6206) Prec@1 56.250 (56.339) Prec@5 81.875 (84.742) Epoch: [82][8880/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.6284 (1.6207) Prec@1 56.250 (56.339) Prec@5 85.625 (84.742) Epoch: [82][8890/11272] Time 0.682 (0.775) Data 0.001 (0.002) Loss 1.6254 (1.6207) Prec@1 59.375 (56.339) Prec@5 86.250 (84.741) Epoch: [82][8900/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.5085 (1.6206) Prec@1 61.250 (56.340) Prec@5 86.250 (84.742) Epoch: [82][8910/11272] Time 0.840 (0.775) Data 0.002 (0.002) Loss 1.6533 (1.6206) Prec@1 55.000 (56.338) Prec@5 82.500 (84.742) Epoch: [82][8920/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6966 (1.6206) Prec@1 48.750 (56.338) Prec@5 83.125 (84.742) Epoch: [82][8930/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.6251 (1.6206) Prec@1 61.250 (56.339) Prec@5 84.375 (84.742) Epoch: [82][8940/11272] Time 0.820 (0.775) Data 0.002 (0.002) Loss 1.7878 (1.6207) Prec@1 51.250 (56.337) Prec@5 81.250 (84.740) Epoch: [82][8950/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.7564 (1.6207) Prec@1 53.750 (56.337) Prec@5 81.875 (84.740) Epoch: [82][8960/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.6989 (1.6208) Prec@1 51.250 (56.336) Prec@5 80.000 (84.738) Epoch: [82][8970/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.5775 (1.6208) Prec@1 55.625 (56.337) Prec@5 85.000 (84.739) Epoch: [82][8980/11272] Time 0.850 (0.775) Data 0.002 (0.002) Loss 1.7457 (1.6208) Prec@1 56.250 (56.337) Prec@5 82.500 (84.739) Epoch: [82][8990/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.6288 (1.6209) Prec@1 57.500 (56.336) Prec@5 85.625 (84.738) Epoch: [82][9000/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6784 (1.6209) Prec@1 55.625 (56.336) Prec@5 83.750 (84.737) Epoch: [82][9010/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.4350 (1.6210) Prec@1 60.000 (56.334) Prec@5 87.500 (84.737) Epoch: [82][9020/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.6620 (1.6210) Prec@1 53.750 (56.333) Prec@5 85.625 (84.738) Epoch: [82][9030/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.7313 (1.6210) Prec@1 56.250 (56.332) Prec@5 82.500 (84.737) Epoch: [82][9040/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.7181 (1.6211) Prec@1 55.000 (56.332) Prec@5 83.750 (84.734) Epoch: [82][9050/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.8112 (1.6210) Prec@1 52.500 (56.332) Prec@5 80.000 (84.735) Epoch: [82][9060/11272] Time 0.716 (0.775) Data 0.003 (0.002) Loss 1.7193 (1.6211) Prec@1 55.625 (56.330) Prec@5 83.125 (84.734) Epoch: [82][9070/11272] Time 0.746 (0.775) Data 0.001 (0.002) Loss 1.3730 (1.6211) Prec@1 57.500 (56.330) Prec@5 89.375 (84.734) Epoch: [82][9080/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.4900 (1.6211) Prec@1 63.125 (56.329) Prec@5 88.750 (84.734) Epoch: [82][9090/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6360 (1.6212) Prec@1 53.125 (56.328) Prec@5 86.250 (84.733) Epoch: [82][9100/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.6681 (1.6212) Prec@1 55.625 (56.327) Prec@5 86.875 (84.735) Epoch: [82][9110/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8380 (1.6214) Prec@1 50.625 (56.324) Prec@5 83.125 (84.732) Epoch: [82][9120/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.7173 (1.6214) Prec@1 56.250 (56.324) Prec@5 85.000 (84.732) Epoch: [82][9130/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.6222 (1.6214) Prec@1 58.125 (56.324) Prec@5 85.000 (84.731) Epoch: [82][9140/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6922 (1.6215) Prec@1 61.250 (56.325) Prec@5 82.500 (84.730) Epoch: [82][9150/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.4209 (1.6215) Prec@1 61.250 (56.325) Prec@5 88.125 (84.730) Epoch: [82][9160/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.5862 (1.6215) Prec@1 60.000 (56.326) Prec@5 81.250 (84.729) Epoch: [82][9170/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.6156 (1.6215) Prec@1 55.625 (56.328) Prec@5 84.375 (84.729) Epoch: [82][9180/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.6886 (1.6214) Prec@1 55.625 (56.329) Prec@5 82.500 (84.730) Epoch: [82][9190/11272] Time 0.917 (0.775) Data 0.001 (0.002) Loss 1.5884 (1.6214) Prec@1 55.625 (56.328) Prec@5 85.625 (84.730) Epoch: [82][9200/11272] Time 0.870 (0.775) Data 0.002 (0.002) Loss 1.5735 (1.6214) Prec@1 54.375 (56.330) Prec@5 86.250 (84.732) Epoch: [82][9210/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.4136 (1.6214) Prec@1 61.875 (56.330) Prec@5 86.875 (84.731) Epoch: [82][9220/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.3765 (1.6213) Prec@1 63.750 (56.331) Prec@5 88.750 (84.733) Epoch: [82][9230/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.8438 (1.6213) Prec@1 48.750 (56.331) Prec@5 81.250 (84.733) Epoch: [82][9240/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5039 (1.6213) Prec@1 55.625 (56.331) Prec@5 85.625 (84.734) Epoch: [82][9250/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.5053 (1.6213) Prec@1 61.875 (56.331) Prec@5 87.500 (84.734) Epoch: [82][9260/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.5761 (1.6213) Prec@1 57.500 (56.331) Prec@5 85.000 (84.734) Epoch: [82][9270/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5104 (1.6214) Prec@1 60.000 (56.329) Prec@5 84.375 (84.732) Epoch: [82][9280/11272] Time 0.818 (0.775) Data 0.002 (0.002) Loss 1.5172 (1.6214) Prec@1 61.250 (56.328) Prec@5 85.625 (84.731) Epoch: [82][9290/11272] Time 0.722 (0.775) Data 0.002 (0.002) Loss 1.6168 (1.6214) Prec@1 59.375 (56.329) Prec@5 84.375 (84.733) Epoch: [82][9300/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.8752 (1.6214) Prec@1 51.250 (56.327) Prec@5 82.500 (84.731) Epoch: [82][9310/11272] Time 0.807 (0.775) Data 0.001 (0.002) Loss 1.3504 (1.6214) Prec@1 65.000 (56.330) Prec@5 88.750 (84.732) Epoch: [82][9320/11272] Time 0.721 (0.775) Data 0.004 (0.002) Loss 1.5011 (1.6213) Prec@1 60.000 (56.332) Prec@5 87.500 (84.734) Epoch: [82][9330/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.3907 (1.6213) Prec@1 59.375 (56.331) Prec@5 90.000 (84.734) Epoch: [82][9340/11272] Time 0.874 (0.775) Data 0.001 (0.002) Loss 1.5588 (1.6214) Prec@1 55.625 (56.329) Prec@5 85.000 (84.732) Epoch: [82][9350/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.7294 (1.6214) Prec@1 53.750 (56.329) Prec@5 80.000 (84.732) Epoch: [82][9360/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.5862 (1.6215) Prec@1 59.375 (56.328) Prec@5 85.000 (84.731) Epoch: [82][9370/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.6748 (1.6214) Prec@1 57.500 (56.328) Prec@5 86.250 (84.730) Epoch: [82][9380/11272] Time 0.851 (0.775) Data 0.002 (0.002) Loss 1.7806 (1.6215) Prec@1 50.000 (56.326) Prec@5 80.000 (84.730) Epoch: [82][9390/11272] Time 0.817 (0.775) Data 0.002 (0.002) Loss 1.7650 (1.6215) Prec@1 53.125 (56.325) Prec@5 83.750 (84.730) Epoch: [82][9400/11272] Time 0.724 (0.775) Data 0.002 (0.002) Loss 1.6854 (1.6215) Prec@1 51.250 (56.326) Prec@5 83.750 (84.730) Epoch: [82][9410/11272] Time 0.692 (0.775) Data 0.001 (0.002) Loss 1.5718 (1.6216) Prec@1 55.000 (56.323) Prec@5 85.625 (84.729) Epoch: [82][9420/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.6722 (1.6217) Prec@1 51.875 (56.324) Prec@5 83.750 (84.728) Epoch: [82][9430/11272] Time 0.824 (0.775) Data 0.002 (0.002) Loss 1.4940 (1.6217) Prec@1 55.625 (56.322) Prec@5 85.000 (84.727) Epoch: [82][9440/11272] Time 0.796 (0.775) Data 0.002 (0.002) Loss 1.5589 (1.6217) Prec@1 53.750 (56.321) Prec@5 90.000 (84.729) Epoch: [82][9450/11272] Time 0.872 (0.775) Data 0.002 (0.002) Loss 1.7131 (1.6217) Prec@1 54.375 (56.322) Prec@5 83.750 (84.730) Epoch: [82][9460/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.4869 (1.6217) Prec@1 59.375 (56.322) Prec@5 85.625 (84.730) Epoch: [82][9470/11272] Time 0.734 (0.775) Data 0.001 (0.002) Loss 1.5690 (1.6217) Prec@1 54.375 (56.322) Prec@5 87.500 (84.730) Epoch: [82][9480/11272] Time 0.696 (0.775) Data 0.001 (0.002) Loss 1.5861 (1.6217) Prec@1 58.750 (56.322) Prec@5 85.625 (84.731) Epoch: [82][9490/11272] Time 0.863 (0.775) Data 0.002 (0.002) Loss 1.4689 (1.6217) Prec@1 60.625 (56.322) Prec@5 86.250 (84.731) Epoch: [82][9500/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7132 (1.6217) Prec@1 50.625 (56.321) Prec@5 84.375 (84.731) Epoch: [82][9510/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.7276 (1.6217) Prec@1 55.000 (56.321) Prec@5 86.875 (84.730) Epoch: [82][9520/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.6839 (1.6217) Prec@1 55.625 (56.320) Prec@5 83.125 (84.730) Epoch: [82][9530/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.7736 (1.6217) Prec@1 52.500 (56.321) Prec@5 84.375 (84.732) Epoch: [82][9540/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.3649 (1.6217) Prec@1 64.375 (56.321) Prec@5 89.375 (84.733) Epoch: [82][9550/11272] Time 0.738 (0.775) Data 0.002 (0.002) Loss 1.5093 (1.6216) Prec@1 56.875 (56.322) Prec@5 89.375 (84.733) Epoch: [82][9560/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6267 (1.6216) Prec@1 58.750 (56.322) Prec@5 85.625 (84.734) Epoch: [82][9570/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.5254 (1.6217) Prec@1 58.750 (56.322) Prec@5 85.625 (84.733) Epoch: [82][9580/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.8391 (1.6217) Prec@1 51.250 (56.323) Prec@5 81.250 (84.732) Epoch: [82][9590/11272] Time 0.716 (0.775) Data 0.002 (0.002) Loss 1.6367 (1.6217) Prec@1 60.000 (56.322) Prec@5 85.000 (84.730) Epoch: [82][9600/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.5635 (1.6218) Prec@1 60.000 (56.321) Prec@5 84.375 (84.730) Epoch: [82][9610/11272] Time 0.795 (0.775) Data 0.001 (0.002) Loss 1.6183 (1.6218) Prec@1 55.625 (56.319) Prec@5 84.375 (84.730) Epoch: [82][9620/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.3306 (1.6218) Prec@1 62.500 (56.319) Prec@5 89.375 (84.731) Epoch: [82][9630/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.7932 (1.6217) Prec@1 58.750 (56.322) Prec@5 81.250 (84.732) Epoch: [82][9640/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.6931 (1.6218) Prec@1 53.125 (56.323) Prec@5 84.375 (84.730) Epoch: [82][9650/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.5098 (1.6218) Prec@1 58.125 (56.325) Prec@5 90.625 (84.731) Epoch: [82][9660/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.4611 (1.6218) Prec@1 61.250 (56.325) Prec@5 85.625 (84.731) Epoch: [82][9670/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.5783 (1.6218) Prec@1 54.375 (56.324) Prec@5 86.875 (84.731) Epoch: [82][9680/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.6465 (1.6218) Prec@1 59.375 (56.324) Prec@5 85.625 (84.730) Epoch: [82][9690/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.5441 (1.6218) Prec@1 53.750 (56.323) Prec@5 85.000 (84.729) Epoch: [82][9700/11272] Time 0.734 (0.775) Data 0.001 (0.002) Loss 1.6490 (1.6218) Prec@1 54.375 (56.325) Prec@5 88.125 (84.729) Epoch: [82][9710/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5350 (1.6219) Prec@1 59.375 (56.326) Prec@5 85.000 (84.729) Epoch: [82][9720/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.5536 (1.6219) Prec@1 60.000 (56.327) Prec@5 84.375 (84.729) Epoch: [82][9730/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6880 (1.6218) Prec@1 55.000 (56.328) Prec@5 83.125 (84.731) Epoch: [82][9740/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.4855 (1.6218) Prec@1 56.250 (56.326) Prec@5 87.500 (84.730) Epoch: [82][9750/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.4800 (1.6218) Prec@1 56.250 (56.326) Prec@5 86.250 (84.731) Epoch: [82][9760/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.4327 (1.6218) Prec@1 58.125 (56.325) Prec@5 91.250 (84.733) Epoch: [82][9770/11272] Time 0.744 (0.774) Data 0.002 (0.002) Loss 1.4683 (1.6218) Prec@1 62.500 (56.326) Prec@5 86.875 (84.733) Epoch: [82][9780/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.5632 (1.6219) Prec@1 58.750 (56.324) Prec@5 83.125 (84.732) Epoch: [82][9790/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.7885 (1.6219) Prec@1 52.500 (56.325) Prec@5 82.500 (84.732) Epoch: [82][9800/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7546 (1.6218) Prec@1 54.375 (56.326) Prec@5 83.750 (84.732) Epoch: [82][9810/11272] Time 0.739 (0.774) Data 0.002 (0.002) Loss 1.6717 (1.6219) Prec@1 56.875 (56.326) Prec@5 83.125 (84.732) Epoch: [82][9820/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.4486 (1.6219) Prec@1 65.000 (56.328) Prec@5 89.375 (84.732) Epoch: [82][9830/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5872 (1.6219) Prec@1 59.375 (56.327) Prec@5 85.000 (84.732) Epoch: [82][9840/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6327 (1.6219) Prec@1 56.250 (56.328) Prec@5 86.875 (84.732) Epoch: [82][9850/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.4492 (1.6219) Prec@1 57.500 (56.327) Prec@5 90.000 (84.732) Epoch: [82][9860/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.7652 (1.6220) Prec@1 52.500 (56.326) Prec@5 86.250 (84.730) Epoch: [82][9870/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.7886 (1.6220) Prec@1 47.500 (56.325) Prec@5 82.500 (84.729) Epoch: [82][9880/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.4127 (1.6221) Prec@1 58.750 (56.323) Prec@5 88.750 (84.728) Epoch: [82][9890/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.5993 (1.6221) Prec@1 58.125 (56.323) Prec@5 85.625 (84.727) Epoch: [82][9900/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.7571 (1.6221) Prec@1 49.375 (56.321) Prec@5 83.125 (84.727) Epoch: [82][9910/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.5646 (1.6221) Prec@1 57.500 (56.320) Prec@5 86.250 (84.727) Epoch: [82][9920/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 2.0355 (1.6221) Prec@1 48.750 (56.322) Prec@5 77.500 (84.727) Epoch: [82][9930/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5938 (1.6221) Prec@1 62.500 (56.321) Prec@5 83.750 (84.725) Epoch: [82][9940/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.4335 (1.6221) Prec@1 60.000 (56.322) Prec@5 90.000 (84.727) Epoch: [82][9950/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.7862 (1.6221) Prec@1 49.375 (56.321) Prec@5 82.500 (84.726) Epoch: [82][9960/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6270 (1.6221) Prec@1 54.375 (56.322) Prec@5 85.625 (84.726) Epoch: [82][9970/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.5711 (1.6221) Prec@1 56.875 (56.322) Prec@5 83.750 (84.725) Epoch: [82][9980/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.8687 (1.6221) Prec@1 50.625 (56.322) Prec@5 80.625 (84.725) Epoch: [82][9990/11272] Time 0.680 (0.774) Data 0.002 (0.002) Loss 1.8036 (1.6221) Prec@1 51.250 (56.322) Prec@5 81.250 (84.726) Epoch: [82][10000/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.5347 (1.6221) Prec@1 58.125 (56.322) Prec@5 87.500 (84.726) Epoch: [82][10010/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.7540 (1.6222) Prec@1 55.625 (56.321) Prec@5 83.125 (84.725) Epoch: [82][10020/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.4184 (1.6221) Prec@1 64.375 (56.323) Prec@5 90.625 (84.727) Epoch: [82][10030/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.9317 (1.6222) Prec@1 48.125 (56.321) Prec@5 78.125 (84.726) Epoch: [82][10040/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.5767 (1.6221) Prec@1 55.625 (56.321) Prec@5 87.500 (84.726) Epoch: [82][10050/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.3960 (1.6221) Prec@1 66.875 (56.323) Prec@5 88.750 (84.728) Epoch: [82][10060/11272] Time 0.822 (0.774) Data 0.002 (0.002) Loss 1.8440 (1.6221) Prec@1 50.000 (56.322) Prec@5 79.375 (84.726) Epoch: [82][10070/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.7778 (1.6221) Prec@1 53.125 (56.323) Prec@5 81.250 (84.727) Epoch: [82][10080/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.5815 (1.6221) Prec@1 55.625 (56.323) Prec@5 88.125 (84.726) Epoch: [82][10090/11272] Time 0.836 (0.774) Data 0.001 (0.002) Loss 1.5287 (1.6221) Prec@1 64.375 (56.324) Prec@5 86.250 (84.728) Epoch: [82][10100/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.5043 (1.6221) Prec@1 57.500 (56.323) Prec@5 85.625 (84.728) Epoch: [82][10110/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.5222 (1.6221) Prec@1 60.000 (56.322) Prec@5 87.500 (84.728) Epoch: [82][10120/11272] Time 0.859 (0.774) Data 0.001 (0.002) Loss 1.4817 (1.6221) Prec@1 60.000 (56.321) Prec@5 86.250 (84.727) Epoch: [82][10130/11272] Time 0.827 (0.774) Data 0.002 (0.002) Loss 1.7239 (1.6222) Prec@1 55.625 (56.320) Prec@5 85.000 (84.727) Epoch: [82][10140/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6411 (1.6221) Prec@1 58.125 (56.321) Prec@5 86.250 (84.728) Epoch: [82][10150/11272] Time 0.752 (0.774) Data 0.001 (0.002) Loss 1.5241 (1.6221) Prec@1 58.125 (56.322) Prec@5 88.125 (84.728) Epoch: [82][10160/11272] Time 0.825 (0.774) Data 0.002 (0.002) Loss 1.8102 (1.6221) Prec@1 50.625 (56.322) Prec@5 80.625 (84.728) Epoch: [82][10170/11272] Time 0.794 (0.774) Data 0.001 (0.002) Loss 1.4812 (1.6221) Prec@1 62.500 (56.322) Prec@5 86.250 (84.728) Epoch: [82][10180/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.5093 (1.6222) Prec@1 60.000 (56.321) Prec@5 87.500 (84.728) Epoch: [82][10190/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.5795 (1.6222) Prec@1 53.125 (56.320) Prec@5 86.250 (84.728) Epoch: [82][10200/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.6714 (1.6222) Prec@1 53.125 (56.319) Prec@5 87.500 (84.729) Epoch: [82][10210/11272] Time 0.854 (0.774) Data 0.002 (0.002) Loss 1.6189 (1.6223) Prec@1 55.000 (56.318) Prec@5 88.750 (84.727) Epoch: [82][10220/11272] Time 0.743 (0.774) Data 0.002 (0.002) Loss 1.4599 (1.6223) Prec@1 56.250 (56.318) Prec@5 90.625 (84.726) Epoch: [82][10230/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.4570 (1.6223) Prec@1 58.750 (56.318) Prec@5 88.125 (84.726) Epoch: [82][10240/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.7698 (1.6223) Prec@1 55.000 (56.317) Prec@5 78.125 (84.725) Epoch: [82][10250/11272] Time 0.746 (0.774) Data 0.003 (0.002) Loss 1.7237 (1.6223) Prec@1 56.250 (56.318) Prec@5 81.875 (84.726) Epoch: [82][10260/11272] Time 0.689 (0.774) Data 0.001 (0.002) Loss 1.6291 (1.6223) Prec@1 55.625 (56.317) Prec@5 83.125 (84.725) Epoch: [82][10270/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.7783 (1.6223) Prec@1 51.875 (56.317) Prec@5 83.125 (84.725) Epoch: [82][10280/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.6756 (1.6224) Prec@1 51.250 (56.315) Prec@5 85.625 (84.724) Epoch: [82][10290/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.6301 (1.6225) Prec@1 56.250 (56.314) Prec@5 86.250 (84.723) Epoch: [82][10300/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6583 (1.6225) Prec@1 51.250 (56.312) Prec@5 83.125 (84.722) Epoch: [82][10310/11272] Time 0.839 (0.774) Data 0.002 (0.002) Loss 1.6999 (1.6225) Prec@1 54.375 (56.311) Prec@5 86.250 (84.722) Epoch: [82][10320/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.3895 (1.6225) Prec@1 57.500 (56.310) Prec@5 88.125 (84.722) Epoch: [82][10330/11272] Time 0.740 (0.774) Data 0.001 (0.002) Loss 1.5399 (1.6225) Prec@1 62.500 (56.310) Prec@5 88.125 (84.723) Epoch: [82][10340/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.4716 (1.6225) Prec@1 57.500 (56.311) Prec@5 88.125 (84.723) Epoch: [82][10350/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.6080 (1.6225) Prec@1 55.000 (56.310) Prec@5 85.000 (84.722) Epoch: [82][10360/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6017 (1.6225) Prec@1 58.125 (56.310) Prec@5 86.250 (84.723) Epoch: [82][10370/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.6323 (1.6226) Prec@1 52.500 (56.309) Prec@5 86.250 (84.721) Epoch: [82][10380/11272] Time 0.868 (0.774) Data 0.002 (0.002) Loss 1.7351 (1.6227) Prec@1 53.750 (56.308) Prec@5 82.500 (84.720) Epoch: [82][10390/11272] Time 0.838 (0.774) Data 0.002 (0.002) Loss 1.6947 (1.6227) Prec@1 51.875 (56.306) Prec@5 86.875 (84.720) Epoch: [82][10400/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7687 (1.6227) Prec@1 55.000 (56.305) Prec@5 80.000 (84.720) Epoch: [82][10410/11272] Time 0.707 (0.774) Data 0.002 (0.002) Loss 1.7078 (1.6227) Prec@1 58.750 (56.305) Prec@5 83.125 (84.720) Epoch: [82][10420/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.4132 (1.6227) Prec@1 60.625 (56.307) Prec@5 86.875 (84.721) Epoch: [82][10430/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.8026 (1.6227) Prec@1 48.750 (56.306) Prec@5 81.875 (84.721) Epoch: [82][10440/11272] Time 0.739 (0.774) Data 0.002 (0.002) Loss 1.4606 (1.6227) Prec@1 58.750 (56.307) Prec@5 84.375 (84.720) Epoch: [82][10450/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.5584 (1.6227) Prec@1 57.500 (56.307) Prec@5 85.625 (84.719) Epoch: [82][10460/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.7838 (1.6228) Prec@1 48.125 (56.304) Prec@5 86.875 (84.717) Epoch: [82][10470/11272] Time 0.875 (0.774) Data 0.002 (0.002) Loss 1.8870 (1.6229) Prec@1 45.625 (56.302) Prec@5 79.375 (84.716) Epoch: [82][10480/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.7919 (1.6229) Prec@1 53.750 (56.302) Prec@5 81.250 (84.716) Epoch: [82][10490/11272] Time 0.721 (0.774) Data 0.001 (0.002) Loss 1.6449 (1.6228) Prec@1 55.625 (56.305) Prec@5 84.375 (84.716) Epoch: [82][10500/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.4154 (1.6228) Prec@1 62.500 (56.304) Prec@5 85.625 (84.715) Epoch: [82][10510/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.6457 (1.6228) Prec@1 53.750 (56.306) Prec@5 83.750 (84.716) Epoch: [82][10520/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.8987 (1.6229) Prec@1 49.375 (56.303) Prec@5 80.625 (84.715) Epoch: [82][10530/11272] Time 0.850 (0.774) Data 0.001 (0.002) Loss 1.6359 (1.6229) Prec@1 51.875 (56.300) Prec@5 86.875 (84.714) Epoch: [82][10540/11272] Time 0.835 (0.774) Data 0.002 (0.002) Loss 1.5294 (1.6230) Prec@1 58.750 (56.299) Prec@5 86.875 (84.715) Epoch: [82][10550/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.3538 (1.6230) Prec@1 60.625 (56.298) Prec@5 88.125 (84.715) Epoch: [82][10560/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.5262 (1.6230) Prec@1 56.250 (56.298) Prec@5 86.875 (84.715) Epoch: [82][10570/11272] Time 0.774 (0.774) Data 0.001 (0.002) Loss 1.8532 (1.6230) Prec@1 49.375 (56.299) Prec@5 84.375 (84.716) Epoch: [82][10580/11272] Time 0.778 (0.774) Data 0.001 (0.002) Loss 1.7627 (1.6230) Prec@1 51.875 (56.297) Prec@5 82.500 (84.715) Epoch: [82][10590/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.7588 (1.6230) Prec@1 53.125 (56.297) Prec@5 83.750 (84.715) Epoch: [82][10600/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.5108 (1.6230) Prec@1 55.625 (56.298) Prec@5 86.875 (84.715) Epoch: [82][10610/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.7320 (1.6230) Prec@1 52.500 (56.297) Prec@5 85.000 (84.716) Epoch: [82][10620/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.6714 (1.6230) Prec@1 56.250 (56.296) Prec@5 85.000 (84.716) Epoch: [82][10630/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.4062 (1.6230) Prec@1 62.500 (56.297) Prec@5 91.250 (84.717) Epoch: [82][10640/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.5254 (1.6230) Prec@1 56.250 (56.297) Prec@5 84.375 (84.717) Epoch: [82][10650/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.6169 (1.6230) Prec@1 57.500 (56.297) Prec@5 85.000 (84.717) Epoch: [82][10660/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.6047 (1.6230) Prec@1 52.500 (56.296) Prec@5 86.875 (84.716) Epoch: [82][10670/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.5095 (1.6230) Prec@1 61.250 (56.297) Prec@5 85.000 (84.716) Epoch: [82][10680/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.7057 (1.6230) Prec@1 53.125 (56.296) Prec@5 80.625 (84.715) Epoch: [82][10690/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6409 (1.6230) Prec@1 56.250 (56.296) Prec@5 87.500 (84.714) Epoch: [82][10700/11272] Time 0.736 (0.774) Data 0.002 (0.002) Loss 1.7067 (1.6230) Prec@1 53.125 (56.294) Prec@5 83.125 (84.714) Epoch: [82][10710/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.7135 (1.6231) Prec@1 53.125 (56.293) Prec@5 82.500 (84.713) Epoch: [82][10720/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.6080 (1.6231) Prec@1 55.000 (56.294) Prec@5 82.500 (84.712) Epoch: [82][10730/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.4186 (1.6231) Prec@1 60.000 (56.294) Prec@5 84.375 (84.712) Epoch: [82][10740/11272] Time 0.732 (0.774) Data 0.002 (0.002) Loss 1.5796 (1.6230) Prec@1 60.625 (56.296) Prec@5 85.000 (84.713) Epoch: [82][10750/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.4614 (1.6230) Prec@1 57.500 (56.297) Prec@5 87.500 (84.712) Epoch: [82][10760/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.8570 (1.6230) Prec@1 52.500 (56.298) Prec@5 80.000 (84.712) Epoch: [82][10770/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.7423 (1.6231) Prec@1 51.875 (56.297) Prec@5 83.750 (84.711) Epoch: [82][10780/11272] Time 0.738 (0.774) Data 0.002 (0.002) Loss 1.6235 (1.6231) Prec@1 56.250 (56.296) Prec@5 81.250 (84.709) Epoch: [82][10790/11272] Time 0.849 (0.774) Data 0.002 (0.002) Loss 1.7559 (1.6232) Prec@1 53.750 (56.294) Prec@5 78.125 (84.708) Epoch: [82][10800/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.7202 (1.6232) Prec@1 53.750 (56.293) Prec@5 80.000 (84.707) Epoch: [82][10810/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7359 (1.6233) Prec@1 49.375 (56.292) Prec@5 85.000 (84.707) Epoch: [82][10820/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7998 (1.6233) Prec@1 54.375 (56.293) Prec@5 81.875 (84.707) Epoch: [82][10830/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.7137 (1.6233) Prec@1 52.500 (56.293) Prec@5 83.125 (84.708) Epoch: [82][10840/11272] Time 0.834 (0.774) Data 0.002 (0.002) Loss 1.4202 (1.6233) Prec@1 61.875 (56.291) Prec@5 87.500 (84.707) Epoch: [82][10850/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.9038 (1.6233) Prec@1 46.875 (56.290) Prec@5 79.375 (84.706) Epoch: [82][10860/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.5845 (1.6234) Prec@1 62.500 (56.292) Prec@5 85.000 (84.706) Epoch: [82][10870/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.8151 (1.6233) Prec@1 53.125 (56.293) Prec@5 80.625 (84.705) Epoch: [82][10880/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.9408 (1.6234) Prec@1 51.250 (56.293) Prec@5 79.375 (84.704) Epoch: [82][10890/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5838 (1.6234) Prec@1 55.000 (56.292) Prec@5 88.125 (84.704) Epoch: [82][10900/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.3402 (1.6234) Prec@1 70.000 (56.293) Prec@5 86.250 (84.704) Epoch: [82][10910/11272] Time 0.816 (0.774) Data 0.002 (0.002) Loss 1.7161 (1.6234) Prec@1 52.500 (56.293) Prec@5 85.625 (84.704) Epoch: [82][10920/11272] Time 0.732 (0.774) Data 0.003 (0.002) Loss 1.6831 (1.6234) Prec@1 56.250 (56.293) Prec@5 86.250 (84.704) Epoch: [82][10930/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.7274 (1.6234) Prec@1 52.500 (56.292) Prec@5 83.750 (84.704) Epoch: [82][10940/11272] Time 0.804 (0.774) Data 0.001 (0.002) Loss 1.5205 (1.6234) Prec@1 63.125 (56.291) Prec@5 87.500 (84.705) Epoch: [82][10950/11272] Time 0.824 (0.774) Data 0.002 (0.002) Loss 1.4344 (1.6234) Prec@1 60.000 (56.292) Prec@5 86.250 (84.705) Epoch: [82][10960/11272] Time 0.761 (0.774) Data 0.001 (0.002) Loss 1.4813 (1.6233) Prec@1 61.875 (56.293) Prec@5 86.250 (84.707) Epoch: [82][10970/11272] Time 0.737 (0.774) Data 0.002 (0.002) Loss 1.6103 (1.6233) Prec@1 53.125 (56.293) Prec@5 82.500 (84.707) Epoch: [82][10980/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.6041 (1.6233) Prec@1 60.625 (56.292) Prec@5 84.375 (84.707) Epoch: [82][10990/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.5778 (1.6234) Prec@1 56.875 (56.290) Prec@5 88.125 (84.705) Epoch: [82][11000/11272] Time 0.728 (0.774) Data 0.001 (0.002) Loss 1.6459 (1.6234) Prec@1 56.250 (56.289) Prec@5 85.625 (84.705) Epoch: [82][11010/11272] Time 0.742 (0.774) Data 0.002 (0.002) Loss 1.9005 (1.6235) Prec@1 52.500 (56.288) Prec@5 78.750 (84.704) Epoch: [82][11020/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.5970 (1.6235) Prec@1 55.625 (56.287) Prec@5 83.125 (84.703) Epoch: [82][11030/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.7305 (1.6236) Prec@1 52.500 (56.284) Prec@5 82.500 (84.702) Epoch: [82][11040/11272] Time 0.728 (0.774) Data 0.002 (0.002) Loss 1.7270 (1.6236) Prec@1 53.125 (56.284) Prec@5 84.375 (84.702) Epoch: [82][11050/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.5643 (1.6236) Prec@1 54.375 (56.283) Prec@5 88.125 (84.702) Epoch: [82][11060/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.5844 (1.6237) Prec@1 58.750 (56.284) Prec@5 83.125 (84.700) Epoch: [82][11070/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.8052 (1.6237) Prec@1 48.750 (56.282) Prec@5 83.125 (84.699) Epoch: [82][11080/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.8316 (1.6237) Prec@1 50.625 (56.282) Prec@5 82.500 (84.699) Epoch: [82][11090/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6369 (1.6237) Prec@1 51.875 (56.280) Prec@5 84.375 (84.698) Epoch: [82][11100/11272] Time 0.850 (0.774) Data 0.002 (0.002) Loss 1.5185 (1.6237) Prec@1 54.375 (56.282) Prec@5 87.500 (84.699) Epoch: [82][11110/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.4878 (1.6237) Prec@1 58.125 (56.282) Prec@5 85.625 (84.699) Epoch: [82][11120/11272] Time 0.737 (0.774) Data 0.001 (0.002) Loss 1.7794 (1.6238) Prec@1 52.500 (56.280) Prec@5 83.125 (84.698) Epoch: [82][11130/11272] Time 0.852 (0.774) Data 0.001 (0.002) Loss 1.7996 (1.6238) Prec@1 53.750 (56.280) Prec@5 83.750 (84.697) Epoch: [82][11140/11272] Time 0.851 (0.774) Data 0.002 (0.002) Loss 1.5538 (1.6237) Prec@1 58.750 (56.282) Prec@5 88.125 (84.699) Epoch: [82][11150/11272] Time 0.732 (0.774) Data 0.002 (0.002) Loss 1.8511 (1.6237) Prec@1 46.250 (56.282) Prec@5 84.375 (84.699) Epoch: [82][11160/11272] Time 0.712 (0.774) Data 0.002 (0.002) Loss 1.3404 (1.6236) Prec@1 63.750 (56.283) Prec@5 91.875 (84.700) Epoch: [82][11170/11272] Time 0.845 (0.774) Data 0.001 (0.002) Loss 1.8188 (1.6237) Prec@1 51.250 (56.283) Prec@5 82.500 (84.700) Epoch: [82][11180/11272] Time 0.750 (0.774) Data 0.003 (0.002) Loss 1.9061 (1.6237) Prec@1 55.000 (56.282) Prec@5 82.500 (84.699) Epoch: [82][11190/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6337 (1.6238) Prec@1 51.875 (56.280) Prec@5 83.125 (84.698) Epoch: [82][11200/11272] Time 0.862 (0.774) Data 0.002 (0.002) Loss 1.7140 (1.6238) Prec@1 55.625 (56.278) Prec@5 83.125 (84.698) Epoch: [82][11210/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.6367 (1.6238) Prec@1 54.375 (56.279) Prec@5 85.000 (84.699) Epoch: [82][11220/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.6163 (1.6238) Prec@1 59.375 (56.278) Prec@5 87.500 (84.700) Epoch: [82][11230/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.7276 (1.6238) Prec@1 50.625 (56.277) Prec@5 79.375 (84.698) Epoch: [82][11240/11272] Time 0.826 (0.774) Data 0.002 (0.002) Loss 1.5584 (1.6238) Prec@1 53.750 (56.276) Prec@5 86.875 (84.699) Epoch: [82][11250/11272] Time 0.831 (0.774) Data 0.002 (0.002) Loss 1.7032 (1.6238) Prec@1 53.750 (56.276) Prec@5 85.625 (84.699) Epoch: [82][11260/11272] Time 0.725 (0.774) Data 0.001 (0.002) Loss 1.5052 (1.6238) Prec@1 57.500 (56.276) Prec@5 86.875 (84.699) Epoch: [82][11270/11272] Time 0.718 (0.774) Data 0.000 (0.002) Loss 1.5990 (1.6238) Prec@1 60.625 (56.277) Prec@5 84.375 (84.699) Test: [0/229] Time 3.243 (3.243) Loss 1.0392 (1.0392) Prec@1 66.250 (66.250) Prec@5 95.625 (95.625) Test: [10/229] Time 0.304 (0.796) Loss 0.9968 (1.5463) Prec@1 69.375 (59.375) Prec@5 96.250 (87.386) Test: [20/229] Time 1.448 (0.733) Loss 2.0186 (1.6388) Prec@1 46.250 (56.071) Prec@5 79.375 (86.280) Test: [30/229] Time 0.285 (0.676) Loss 2.0459 (1.5860) Prec@1 45.000 (57.722) Prec@5 83.750 (86.935) Test: [40/229] Time 1.307 (0.673) Loss 0.3856 (1.5849) Prec@1 91.250 (57.622) Prec@5 95.625 (86.875) Test: [50/229] Time 0.340 (0.655) Loss 2.5057 (1.6631) Prec@1 29.375 (55.968) Prec@5 75.625 (85.380) Test: [60/229] Time 1.168 (0.653) Loss 2.0464 (1.6612) Prec@1 43.125 (56.066) Prec@5 84.375 (85.369) Test: [70/229] Time 0.424 (0.646) Loss 1.3686 (1.6741) Prec@1 67.500 (55.889) Prec@5 85.000 (85.158) Test: [80/229] Time 1.496 (0.651) Loss 2.0549 (1.6855) Prec@1 40.625 (55.201) Prec@5 86.250 (85.262) Test: [90/229] Time 0.403 (0.642) Loss 1.2562 (1.6958) Prec@1 75.000 (55.103) Prec@5 88.125 (85.220) Test: [100/229] Time 1.382 (0.645) Loss 2.0958 (1.6918) Prec@1 48.125 (55.334) Prec@5 83.750 (85.303) Test: [110/229] Time 0.383 (0.638) Loss 1.4113 (1.6701) Prec@1 60.000 (55.783) Prec@5 87.500 (85.563) Test: [120/229] Time 1.284 (0.638) Loss 2.7415 (1.6904) Prec@1 34.375 (55.258) Prec@5 75.625 (85.331) Test: [130/229] Time 0.404 (0.633) Loss 1.2560 (1.6743) Prec@1 63.750 (55.544) Prec@5 89.375 (85.506) Test: [140/229] Time 1.376 (0.637) Loss 1.8335 (1.6854) Prec@1 50.625 (55.199) Prec@5 83.125 (85.412) Test: [150/229] Time 0.305 (0.632) Loss 1.0961 (1.6949) Prec@1 76.250 (54.996) Prec@5 91.250 (85.306) Test: [160/229] Time 1.319 (0.634) Loss 1.7961 (1.6970) Prec@1 55.000 (54.884) Prec@5 82.500 (85.268) Test: [170/229] Time 0.341 (0.629) Loss 1.7712 (1.7095) Prec@1 50.625 (54.430) Prec@5 86.250 (85.088) Test: [180/229] Time 1.570 (0.632) Loss 2.4021 (1.7147) Prec@1 35.000 (54.413) Prec@5 75.625 (84.962) Test: [190/229] Time 0.349 (0.628) Loss 1.5014 (1.7045) Prec@1 60.625 (54.738) Prec@5 91.875 (85.095) Test: [200/229] Time 1.348 (0.631) Loss 1.7873 (1.6986) Prec@1 48.750 (54.733) Prec@5 83.125 (85.233) Test: [210/229] Time 0.390 (0.628) Loss 1.0954 (1.6897) Prec@1 66.250 (54.941) Prec@5 93.125 (85.367) Test: [220/229] Time 1.064 (0.629) Loss 1.6263 (1.6816) Prec@1 55.625 (55.243) Prec@5 88.750 (85.427) * Prec@1 55.567 Prec@5 85.472 Epoch: [83][0/11272] Time 4.613 (4.613) Data 3.770 (3.770) Loss 1.7308 (1.7308) Prec@1 53.750 (53.750) Prec@5 82.500 (82.500) Epoch: [83][10/11272] Time 0.819 (1.106) Data 0.001 (0.344) Loss 1.7568 (1.6005) Prec@1 50.625 (56.648) Prec@5 84.375 (85.114) Epoch: [83][20/11272] Time 0.809 (0.939) Data 0.002 (0.181) Loss 1.7606 (1.5858) Prec@1 48.750 (56.607) Prec@5 85.000 (85.476) Epoch: [83][30/11272] Time 0.724 (0.888) Data 0.001 (0.123) Loss 1.5055 (1.5811) Prec@1 60.625 (56.935) Prec@5 85.000 (85.423) Epoch: [83][40/11272] Time 0.715 (0.861) Data 0.002 (0.093) Loss 1.5813 (1.5793) Prec@1 60.000 (57.043) Prec@5 81.875 (85.518) Epoch: [83][50/11272] Time 0.872 (0.848) Data 0.002 (0.075) Loss 1.5808 (1.5975) Prec@1 57.500 (56.728) Prec@5 84.375 (85.270) Epoch: [83][60/11272] Time 0.808 (0.835) Data 0.001 (0.063) Loss 1.7121 (1.5929) Prec@1 49.375 (56.957) Prec@5 86.875 (85.369) Epoch: [83][70/11272] Time 0.711 (0.826) Data 0.001 (0.055) Loss 1.7215 (1.5918) Prec@1 52.500 (57.051) Prec@5 85.000 (85.537) Epoch: [83][80/11272] Time 0.727 (0.820) Data 0.001 (0.048) Loss 1.6870 (1.5943) Prec@1 51.250 (57.099) Prec@5 85.000 (85.340) Epoch: [83][90/11272] Time 0.848 (0.814) Data 0.002 (0.043) Loss 1.3841 (1.5890) Prec@1 58.750 (57.349) Prec@5 88.125 (85.391) Epoch: [83][100/11272] Time 0.839 (0.809) Data 0.001 (0.039) Loss 1.8571 (1.6023) Prec@1 49.375 (57.061) Prec@5 81.875 (85.173) Epoch: [83][110/11272] Time 0.725 (0.806) Data 0.002 (0.035) Loss 1.4130 (1.5983) Prec@1 60.000 (57.072) Prec@5 89.375 (85.270) Epoch: [83][120/11272] Time 0.846 (0.804) Data 0.001 (0.033) Loss 1.4660 (1.5999) Prec@1 61.250 (57.045) Prec@5 86.875 (85.196) Epoch: [83][130/11272] Time 0.832 (0.802) Data 0.001 (0.030) Loss 1.7237 (1.5953) Prec@1 51.250 (57.176) Prec@5 85.625 (85.210) Epoch: [83][140/11272] Time 0.714 (0.800) Data 0.001 (0.028) Loss 1.7824 (1.5990) Prec@1 57.500 (57.216) Prec@5 80.625 (85.146) Epoch: [83][150/11272] Time 0.727 (0.797) Data 0.001 (0.026) Loss 1.5370 (1.5935) Prec@1 57.500 (57.413) Prec@5 85.625 (85.219) Epoch: [83][160/11272] Time 0.823 (0.797) Data 0.002 (0.025) Loss 1.7624 (1.5940) Prec@1 56.250 (57.380) Prec@5 81.250 (85.237) Epoch: [83][170/11272] Time 0.843 (0.796) Data 0.001 (0.024) Loss 1.4216 (1.5947) Prec@1 62.500 (57.398) Prec@5 88.750 (85.230) Epoch: [83][180/11272] Time 0.716 (0.794) Data 0.002 (0.022) Loss 1.5776 (1.5954) Prec@1 55.625 (57.362) Prec@5 83.750 (85.231) Epoch: [83][190/11272] Time 0.729 (0.794) Data 0.001 (0.021) Loss 1.6314 (1.5980) Prec@1 59.375 (57.330) Prec@5 85.000 (85.157) Epoch: [83][200/11272] Time 0.844 (0.793) Data 0.001 (0.020) Loss 1.7547 (1.5994) Prec@1 51.875 (57.332) Prec@5 82.500 (85.118) Epoch: [83][210/11272] Time 0.779 (0.791) Data 0.001 (0.019) Loss 1.7571 (1.5988) Prec@1 51.250 (57.322) Prec@5 82.500 (85.118) Epoch: [83][220/11272] Time 0.717 (0.790) Data 0.001 (0.019) Loss 1.5811 (1.5984) Prec@1 57.500 (57.279) Prec@5 84.375 (85.105) Epoch: [83][230/11272] Time 0.726 (0.789) Data 0.002 (0.018) Loss 1.4829 (1.5959) Prec@1 59.375 (57.294) Prec@5 86.250 (85.157) Epoch: [83][240/11272] Time 0.825 (0.789) Data 0.001 (0.017) Loss 1.5920 (1.5954) Prec@1 55.625 (57.267) Prec@5 84.375 (85.124) Epoch: [83][250/11272] Time 0.815 (0.789) Data 0.001 (0.016) Loss 1.6197 (1.5966) Prec@1 56.250 (57.191) Prec@5 85.000 (85.122) Epoch: [83][260/11272] Time 0.717 (0.788) Data 0.002 (0.016) Loss 1.5363 (1.5972) Prec@1 58.125 (57.155) Prec@5 86.250 (85.156) Epoch: [83][270/11272] Time 0.837 (0.788) Data 0.001 (0.015) Loss 1.3911 (1.5963) Prec@1 60.000 (57.179) Prec@5 88.750 (85.191) Epoch: [83][280/11272] Time 0.815 (0.787) Data 0.001 (0.015) Loss 1.8354 (1.5976) Prec@1 49.375 (57.149) Prec@5 81.875 (85.162) Epoch: [83][290/11272] Time 0.735 (0.787) Data 0.001 (0.014) Loss 1.6245 (1.5998) Prec@1 56.250 (57.075) Prec@5 83.750 (85.092) Epoch: [83][300/11272] Time 0.738 (0.786) Data 0.002 (0.014) Loss 1.5774 (1.5976) Prec@1 53.750 (57.120) Prec@5 83.750 (85.118) Epoch: [83][310/11272] Time 0.805 (0.786) Data 0.001 (0.014) Loss 1.5711 (1.5990) Prec@1 55.000 (57.058) Prec@5 88.125 (85.127) Epoch: [83][320/11272] Time 0.840 (0.786) Data 0.001 (0.013) Loss 1.5934 (1.5978) Prec@1 57.500 (57.068) Prec@5 86.250 (85.160) Epoch: [83][330/11272] Time 0.729 (0.786) Data 0.002 (0.013) Loss 1.6081 (1.5957) Prec@1 58.125 (57.136) Prec@5 82.500 (85.151) Epoch: [83][340/11272] Time 0.753 (0.786) Data 0.001 (0.013) Loss 1.6615 (1.5968) Prec@1 55.625 (57.152) Prec@5 82.500 (85.132) Epoch: [83][350/11272] Time 0.834 (0.786) Data 0.001 (0.012) Loss 1.7110 (1.5978) Prec@1 56.875 (57.119) Prec@5 80.000 (85.080) Epoch: [83][360/11272] Time 0.781 (0.785) Data 0.001 (0.012) Loss 1.4687 (1.5965) Prec@1 55.000 (57.107) Prec@5 87.500 (85.130) Epoch: [83][370/11272] Time 0.722 (0.785) Data 0.001 (0.012) Loss 1.3724 (1.5947) Prec@1 60.625 (57.139) Prec@5 90.625 (85.167) Epoch: [83][380/11272] Time 0.725 (0.785) Data 0.001 (0.011) Loss 1.4994 (1.5961) Prec@1 61.250 (57.096) Prec@5 85.625 (85.148) Epoch: [83][390/11272] Time 0.797 (0.784) Data 0.001 (0.011) Loss 1.7270 (1.5963) Prec@1 51.250 (57.073) Prec@5 85.625 (85.184) Epoch: [83][400/11272] Time 0.720 (0.784) Data 0.001 (0.011) Loss 1.6633 (1.5965) Prec@1 56.250 (57.081) Prec@5 82.500 (85.192) Epoch: [83][410/11272] Time 0.720 (0.784) Data 0.002 (0.011) Loss 1.5958 (1.5965) Prec@1 55.625 (57.086) Prec@5 81.875 (85.170) Epoch: [83][420/11272] Time 0.825 (0.784) Data 0.001 (0.010) Loss 1.7250 (1.5963) Prec@1 55.625 (57.078) Prec@5 85.000 (85.163) Epoch: [83][430/11272] Time 0.822 (0.784) Data 0.001 (0.010) Loss 1.4889 (1.5945) Prec@1 58.750 (57.104) Prec@5 85.625 (85.196) Epoch: [83][440/11272] Time 0.720 (0.783) Data 0.002 (0.010) Loss 1.6365 (1.5949) Prec@1 60.625 (57.063) Prec@5 85.000 (85.200) Epoch: [83][450/11272] Time 0.710 (0.783) Data 0.001 (0.010) Loss 1.4368 (1.5929) Prec@1 61.250 (57.101) Prec@5 89.375 (85.220) Epoch: [83][460/11272] Time 0.820 (0.783) Data 0.001 (0.010) Loss 1.4607 (1.5924) Prec@1 62.500 (57.101) Prec@5 87.500 (85.236) Epoch: [83][470/11272] Time 0.817 (0.783) Data 0.001 (0.009) Loss 1.7644 (1.5942) Prec@1 55.625 (57.073) Prec@5 81.875 (85.219) Epoch: [83][480/11272] Time 0.710 (0.782) Data 0.001 (0.009) Loss 1.5742 (1.5959) Prec@1 58.125 (57.032) Prec@5 86.875 (85.192) Epoch: [83][490/11272] Time 0.721 (0.782) Data 0.001 (0.009) Loss 1.7536 (1.5963) Prec@1 56.875 (57.016) Prec@5 80.000 (85.181) Epoch: [83][500/11272] Time 0.774 (0.782) Data 0.001 (0.009) Loss 1.7728 (1.5962) Prec@1 50.625 (57.008) Prec@5 79.375 (85.178) Epoch: [83][510/11272] Time 0.827 (0.782) Data 0.002 (0.009) Loss 1.7183 (1.5964) Prec@1 58.750 (56.990) Prec@5 81.250 (85.185) Epoch: [83][520/11272] Time 0.721 (0.781) Data 0.001 (0.009) Loss 1.7259 (1.5973) Prec@1 50.000 (56.953) Prec@5 81.875 (85.176) Epoch: [83][530/11272] Time 0.826 (0.781) Data 0.001 (0.009) Loss 1.7304 (1.5967) Prec@1 49.375 (56.944) Prec@5 86.250 (85.187) Epoch: [83][540/11272] Time 0.811 (0.781) Data 0.001 (0.008) Loss 1.7034 (1.5974) Prec@1 58.125 (56.962) Prec@5 81.250 (85.179) Epoch: [83][550/11272] Time 0.730 (0.781) Data 0.001 (0.008) Loss 1.5991 (1.5978) Prec@1 58.750 (56.956) Prec@5 80.625 (85.152) Epoch: [83][560/11272] Time 0.724 (0.781) Data 0.001 (0.008) Loss 1.5935 (1.5972) Prec@1 58.750 (56.990) Prec@5 85.000 (85.145) Epoch: [83][570/11272] Time 0.812 (0.781) Data 0.001 (0.008) Loss 1.6534 (1.5965) Prec@1 56.875 (56.998) Prec@5 85.625 (85.159) Epoch: [83][580/11272] Time 0.821 (0.781) Data 0.002 (0.008) Loss 1.7976 (1.5963) Prec@1 46.875 (56.994) Prec@5 82.500 (85.157) Epoch: [83][590/11272] Time 0.714 (0.781) Data 0.001 (0.008) Loss 1.5931 (1.5962) Prec@1 57.500 (56.974) Prec@5 87.500 (85.180) Epoch: [83][600/11272] Time 0.736 (0.781) Data 0.002 (0.008) Loss 1.5226 (1.5961) Prec@1 58.750 (56.972) Prec@5 86.875 (85.184) Epoch: [83][610/11272] Time 0.847 (0.781) Data 0.001 (0.008) Loss 1.4741 (1.5961) Prec@1 57.500 (56.964) Prec@5 90.625 (85.199) Epoch: [83][620/11272] Time 0.802 (0.780) Data 0.001 (0.008) Loss 1.5591 (1.5967) Prec@1 58.750 (56.952) Prec@5 86.250 (85.179) Epoch: [83][630/11272] Time 0.711 (0.780) Data 0.001 (0.007) Loss 1.4623 (1.5975) Prec@1 55.625 (56.940) Prec@5 85.625 (85.161) Epoch: [83][640/11272] Time 0.719 (0.780) Data 0.001 (0.007) Loss 1.6238 (1.5976) Prec@1 59.375 (56.947) Prec@5 83.750 (85.156) Epoch: [83][650/11272] Time 0.810 (0.780) Data 0.001 (0.007) Loss 1.8051 (1.5980) Prec@1 50.625 (56.924) Prec@5 83.750 (85.150) Epoch: [83][660/11272] Time 0.741 (0.780) Data 0.004 (0.007) Loss 1.8000 (1.5982) Prec@1 53.750 (56.899) Prec@5 79.375 (85.153) Epoch: [83][670/11272] Time 0.735 (0.780) Data 0.002 (0.007) Loss 1.7084 (1.5991) Prec@1 57.500 (56.871) Prec@5 81.250 (85.127) Epoch: [83][680/11272] Time 0.835 (0.780) Data 0.001 (0.007) Loss 1.7057 (1.5997) Prec@1 53.125 (56.846) Prec@5 86.250 (85.128) Epoch: [83][690/11272] Time 0.840 (0.780) Data 0.002 (0.007) Loss 1.5165 (1.5996) Prec@1 58.750 (56.838) Prec@5 85.625 (85.133) Epoch: [83][700/11272] Time 0.704 (0.779) Data 0.002 (0.007) Loss 1.9983 (1.6001) Prec@1 49.375 (56.822) Prec@5 80.000 (85.121) Epoch: [83][710/11272] Time 0.733 (0.779) Data 0.001 (0.007) Loss 1.4943 (1.6005) Prec@1 62.500 (56.825) Prec@5 85.000 (85.107) Epoch: [83][720/11272] Time 0.805 (0.779) Data 0.001 (0.007) Loss 1.6733 (1.6006) Prec@1 54.375 (56.826) Prec@5 81.875 (85.103) Epoch: [83][730/11272] Time 0.798 (0.779) Data 0.001 (0.007) Loss 1.5592 (1.6013) Prec@1 56.250 (56.808) Prec@5 86.875 (85.087) Epoch: [83][740/11272] Time 0.701 (0.779) Data 0.001 (0.007) Loss 1.4965 (1.6015) Prec@1 62.500 (56.813) Prec@5 89.375 (85.072) Epoch: [83][750/11272] Time 0.714 (0.779) Data 0.001 (0.006) Loss 1.6637 (1.6018) Prec@1 51.875 (56.798) Prec@5 83.750 (85.064) Epoch: [83][760/11272] Time 0.881 (0.779) Data 0.002 (0.006) Loss 1.6529 (1.6017) Prec@1 62.500 (56.803) Prec@5 85.000 (85.077) Epoch: [83][770/11272] Time 0.816 (0.779) Data 0.001 (0.006) Loss 1.6410 (1.6020) Prec@1 56.250 (56.792) Prec@5 83.750 (85.075) Epoch: [83][780/11272] Time 0.725 (0.779) Data 0.001 (0.006) Loss 1.4438 (1.6030) Prec@1 58.125 (56.757) Prec@5 85.625 (85.056) Epoch: [83][790/11272] Time 0.837 (0.779) Data 0.001 (0.006) Loss 1.6929 (1.6021) Prec@1 58.125 (56.778) Prec@5 83.750 (85.070) Epoch: [83][800/11272] Time 0.846 (0.779) Data 0.001 (0.006) Loss 1.6505 (1.6017) Prec@1 54.375 (56.782) Prec@5 85.000 (85.067) Epoch: [83][810/11272] Time 0.712 (0.779) Data 0.001 (0.006) Loss 1.6136 (1.6025) Prec@1 53.125 (56.761) Prec@5 86.875 (85.058) Epoch: [83][820/11272] Time 0.720 (0.779) Data 0.001 (0.006) Loss 1.3313 (1.6017) Prec@1 64.375 (56.787) Prec@5 89.375 (85.061) Epoch: [83][830/11272] Time 0.825 (0.778) Data 0.001 (0.006) Loss 1.5824 (1.6018) Prec@1 58.750 (56.802) Prec@5 86.875 (85.053) Epoch: [83][840/11272] Time 0.832 (0.778) Data 0.001 (0.006) Loss 1.4779 (1.6012) Prec@1 63.750 (56.823) Prec@5 85.000 (85.057) Epoch: [83][850/11272] Time 0.717 (0.778) Data 0.002 (0.006) Loss 1.5125 (1.6007) Prec@1 55.625 (56.830) Prec@5 86.875 (85.060) Epoch: [83][860/11272] Time 0.743 (0.778) Data 0.002 (0.006) Loss 1.5047 (1.6008) Prec@1 56.250 (56.836) Prec@5 85.000 (85.052) Epoch: [83][870/11272] Time 0.872 (0.779) Data 0.001 (0.006) Loss 1.6823 (1.6001) Prec@1 55.625 (56.866) Prec@5 83.125 (85.056) Epoch: [83][880/11272] Time 0.843 (0.779) Data 0.002 (0.006) Loss 1.4329 (1.6002) Prec@1 55.625 (56.845) Prec@5 88.750 (85.056) Epoch: [83][890/11272] Time 0.722 (0.779) Data 0.001 (0.006) Loss 1.7165 (1.6003) Prec@1 57.500 (56.855) Prec@5 81.875 (85.042) Epoch: [83][900/11272] Time 0.708 (0.778) Data 0.001 (0.006) Loss 1.6488 (1.6003) Prec@1 57.500 (56.860) Prec@5 85.625 (85.040) Epoch: [83][910/11272] Time 0.823 (0.778) Data 0.001 (0.006) Loss 1.7565 (1.6007) Prec@1 56.250 (56.856) Prec@5 81.875 (85.038) Epoch: [83][920/11272] Time 0.726 (0.778) Data 0.002 (0.006) Loss 1.6798 (1.6001) Prec@1 58.125 (56.865) Prec@5 83.750 (85.052) Epoch: [83][930/11272] Time 0.703 (0.778) Data 0.002 (0.006) Loss 1.4888 (1.5999) Prec@1 57.500 (56.865) Prec@5 88.125 (85.060) Epoch: [83][940/11272] Time 0.833 (0.778) Data 0.001 (0.005) Loss 1.7848 (1.5996) Prec@1 51.250 (56.855) Prec@5 79.375 (85.059) Epoch: [83][950/11272] Time 0.871 (0.778) Data 0.002 (0.005) Loss 1.4847 (1.5995) Prec@1 61.250 (56.858) Prec@5 88.125 (85.066) Epoch: [83][960/11272] Time 0.714 (0.778) Data 0.002 (0.005) Loss 1.8263 (1.6001) Prec@1 55.000 (56.853) Prec@5 78.750 (85.055) Epoch: [83][970/11272] Time 0.714 (0.778) Data 0.002 (0.005) Loss 1.6193 (1.5994) Prec@1 58.125 (56.869) Prec@5 85.000 (85.074) Epoch: [83][980/11272] Time 0.814 (0.778) Data 0.001 (0.005) Loss 1.5741 (1.5994) Prec@1 55.000 (56.869) Prec@5 88.125 (85.068) Epoch: [83][990/11272] Time 0.806 (0.778) Data 0.001 (0.005) Loss 1.5769 (1.6001) Prec@1 58.750 (56.853) Prec@5 85.625 (85.066) Epoch: [83][1000/11272] Time 0.722 (0.778) Data 0.001 (0.005) Loss 1.8707 (1.5997) Prec@1 48.750 (56.858) Prec@5 80.625 (85.068) Epoch: [83][1010/11272] Time 0.724 (0.778) Data 0.001 (0.005) Loss 1.7420 (1.5989) Prec@1 56.250 (56.882) Prec@5 81.250 (85.084) Epoch: [83][1020/11272] Time 0.831 (0.778) Data 0.001 (0.005) Loss 1.6817 (1.5992) Prec@1 51.875 (56.873) Prec@5 86.250 (85.086) Epoch: [83][1030/11272] Time 0.845 (0.778) Data 0.001 (0.005) Loss 1.6272 (1.5983) Prec@1 60.000 (56.889) Prec@5 83.125 (85.102) Epoch: [83][1040/11272] Time 0.707 (0.778) Data 0.001 (0.005) Loss 1.5630 (1.5990) Prec@1 58.125 (56.873) Prec@5 85.625 (85.093) Epoch: [83][1050/11272] Time 0.839 (0.778) Data 0.001 (0.005) Loss 1.5171 (1.5994) Prec@1 56.875 (56.857) Prec@5 83.750 (85.081) Epoch: [83][1060/11272] Time 0.841 (0.778) Data 0.001 (0.005) Loss 1.7767 (1.5995) Prec@1 51.875 (56.853) Prec@5 83.125 (85.085) Epoch: [83][1070/11272] Time 0.717 (0.778) Data 0.001 (0.005) Loss 1.3710 (1.5989) Prec@1 63.125 (56.861) Prec@5 88.125 (85.093) Epoch: [83][1080/11272] Time 0.707 (0.778) Data 0.001 (0.005) Loss 1.4906 (1.5992) Prec@1 58.750 (56.859) Prec@5 86.875 (85.083) Epoch: [83][1090/11272] Time 0.834 (0.778) Data 0.001 (0.005) Loss 1.4553 (1.5998) Prec@1 58.750 (56.834) Prec@5 89.375 (85.076) Epoch: [83][1100/11272] Time 0.805 (0.778) Data 0.001 (0.005) Loss 1.6043 (1.5997) Prec@1 56.875 (56.839) Prec@5 85.000 (85.072) Epoch: [83][1110/11272] Time 0.709 (0.778) Data 0.001 (0.005) Loss 1.8624 (1.5995) Prec@1 50.625 (56.852) Prec@5 80.625 (85.078) Epoch: [83][1120/11272] Time 0.718 (0.777) Data 0.002 (0.005) Loss 1.7281 (1.5995) Prec@1 51.875 (56.847) Prec@5 81.875 (85.080) Epoch: [83][1130/11272] Time 0.825 (0.778) Data 0.001 (0.005) Loss 1.3867 (1.5992) Prec@1 60.000 (56.859) Prec@5 86.875 (85.092) Epoch: [83][1140/11272] Time 0.796 (0.777) Data 0.001 (0.005) Loss 1.3761 (1.5986) Prec@1 60.625 (56.885) Prec@5 85.000 (85.094) Epoch: [83][1150/11272] Time 0.731 (0.777) Data 0.002 (0.005) Loss 1.5803 (1.5990) Prec@1 61.250 (56.878) Prec@5 83.750 (85.084) Epoch: [83][1160/11272] Time 0.717 (0.777) Data 0.002 (0.005) Loss 1.6275 (1.5986) Prec@1 54.375 (56.898) Prec@5 85.625 (85.086) Epoch: [83][1170/11272] Time 0.822 (0.778) Data 0.002 (0.005) Loss 1.5731 (1.5990) Prec@1 58.750 (56.895) Prec@5 85.625 (85.081) Epoch: [83][1180/11272] Time 0.825 (0.778) Data 0.001 (0.005) Loss 1.5760 (1.5987) Prec@1 58.125 (56.895) Prec@5 85.625 (85.090) Epoch: [83][1190/11272] Time 0.721 (0.777) Data 0.001 (0.005) Loss 1.5274 (1.5987) Prec@1 56.875 (56.905) Prec@5 85.625 (85.091) Epoch: [83][1200/11272] Time 0.876 (0.777) Data 0.001 (0.005) Loss 1.5880 (1.5981) Prec@1 60.625 (56.923) Prec@5 83.750 (85.098) Epoch: [83][1210/11272] Time 0.832 (0.777) Data 0.001 (0.005) Loss 1.5854 (1.5979) Prec@1 57.500 (56.924) Prec@5 88.750 (85.104) Epoch: [83][1220/11272] Time 0.711 (0.777) Data 0.001 (0.005) Loss 1.6043 (1.5975) Prec@1 53.125 (56.941) Prec@5 88.125 (85.114) Epoch: [83][1230/11272] Time 0.719 (0.777) Data 0.001 (0.005) Loss 1.7689 (1.5975) Prec@1 55.625 (56.947) Prec@5 81.250 (85.118) Epoch: [83][1240/11272] Time 0.825 (0.777) Data 0.001 (0.004) Loss 1.5947 (1.5974) Prec@1 58.125 (56.963) Prec@5 83.750 (85.111) Epoch: [83][1250/11272] Time 0.877 (0.777) Data 0.002 (0.004) Loss 1.5792 (1.5968) Prec@1 57.500 (56.981) Prec@5 85.625 (85.125) Epoch: [83][1260/11272] Time 0.723 (0.777) Data 0.001 (0.004) Loss 1.3707 (1.5965) Prec@1 65.625 (56.979) Prec@5 86.250 (85.121) Epoch: [83][1270/11272] Time 0.708 (0.777) Data 0.001 (0.004) Loss 1.5871 (1.5967) Prec@1 54.375 (56.962) Prec@5 87.500 (85.119) Epoch: [83][1280/11272] Time 0.805 (0.777) Data 0.001 (0.004) Loss 1.6260 (1.5968) Prec@1 58.125 (56.960) Prec@5 90.000 (85.127) Epoch: [83][1290/11272] Time 0.819 (0.777) Data 0.001 (0.004) Loss 1.7567 (1.5971) Prec@1 53.750 (56.948) Prec@5 81.875 (85.123) Epoch: [83][1300/11272] Time 0.712 (0.777) Data 0.001 (0.004) Loss 1.7608 (1.5977) Prec@1 53.750 (56.932) Prec@5 83.750 (85.113) Epoch: [83][1310/11272] Time 0.708 (0.777) Data 0.001 (0.004) Loss 1.5041 (1.5987) Prec@1 52.500 (56.908) Prec@5 87.500 (85.097) Epoch: [83][1320/11272] Time 0.818 (0.777) Data 0.002 (0.004) Loss 1.5636 (1.5988) Prec@1 53.750 (56.901) Prec@5 86.250 (85.098) Epoch: [83][1330/11272] Time 0.721 (0.777) Data 0.001 (0.004) Loss 1.4696 (1.5986) Prec@1 62.500 (56.908) Prec@5 85.000 (85.098) Epoch: [83][1340/11272] Time 0.726 (0.777) Data 0.002 (0.004) Loss 1.4985 (1.5981) Prec@1 60.625 (56.912) Prec@5 89.375 (85.111) Epoch: [83][1350/11272] Time 0.836 (0.777) Data 0.001 (0.004) Loss 1.6974 (1.5978) Prec@1 51.250 (56.924) Prec@5 83.125 (85.112) Epoch: [83][1360/11272] Time 0.829 (0.777) Data 0.002 (0.004) Loss 1.5711 (1.5981) Prec@1 56.875 (56.919) Prec@5 85.625 (85.104) Epoch: [83][1370/11272] Time 0.725 (0.777) Data 0.001 (0.004) Loss 1.5852 (1.5984) Prec@1 55.625 (56.919) Prec@5 83.125 (85.100) Epoch: [83][1380/11272] Time 0.710 (0.777) Data 0.001 (0.004) Loss 1.7597 (1.5984) Prec@1 53.750 (56.921) Prec@5 84.375 (85.105) Epoch: [83][1390/11272] Time 0.825 (0.777) Data 0.001 (0.004) Loss 1.7627 (1.5986) Prec@1 56.875 (56.918) Prec@5 81.875 (85.110) Epoch: [83][1400/11272] Time 0.808 (0.777) Data 0.001 (0.004) Loss 1.6650 (1.5988) Prec@1 56.250 (56.911) Prec@5 83.125 (85.107) Epoch: [83][1410/11272] Time 0.712 (0.777) Data 0.001 (0.004) Loss 1.7271 (1.5991) Prec@1 53.750 (56.902) Prec@5 83.750 (85.097) Epoch: [83][1420/11272] Time 0.696 (0.776) Data 0.001 (0.004) Loss 1.6279 (1.5994) Prec@1 56.250 (56.899) Prec@5 84.375 (85.090) Epoch: [83][1430/11272] Time 0.793 (0.777) Data 0.001 (0.004) Loss 1.4388 (1.5996) Prec@1 56.875 (56.896) Prec@5 83.750 (85.084) Epoch: [83][1440/11272] Time 0.883 (0.777) Data 0.002 (0.004) Loss 1.5523 (1.5995) Prec@1 61.250 (56.906) Prec@5 86.875 (85.085) Epoch: [83][1450/11272] Time 0.712 (0.777) Data 0.001 (0.004) Loss 1.5042 (1.5992) Prec@1 58.750 (56.910) Prec@5 87.500 (85.088) Epoch: [83][1460/11272] Time 0.857 (0.777) Data 0.001 (0.004) Loss 1.5775 (1.5989) Prec@1 55.625 (56.921) Prec@5 86.250 (85.100) Epoch: [83][1470/11272] Time 0.832 (0.777) Data 0.001 (0.004) Loss 1.5598 (1.5987) Prec@1 61.250 (56.926) Prec@5 82.500 (85.099) Epoch: [83][1480/11272] Time 0.726 (0.777) Data 0.001 (0.004) Loss 1.5558 (1.5986) Prec@1 58.750 (56.928) Prec@5 85.000 (85.095) Epoch: [83][1490/11272] Time 0.734 (0.777) Data 0.001 (0.004) Loss 1.7574 (1.5987) Prec@1 56.250 (56.925) Prec@5 84.375 (85.098) Epoch: [83][1500/11272] Time 0.811 (0.777) Data 0.001 (0.004) Loss 1.4355 (1.5988) Prec@1 61.250 (56.924) Prec@5 88.125 (85.092) Epoch: [83][1510/11272] Time 0.830 (0.777) Data 0.004 (0.004) Loss 1.3951 (1.5987) Prec@1 58.750 (56.924) Prec@5 90.625 (85.095) Epoch: [83][1520/11272] Time 0.733 (0.777) Data 0.001 (0.004) Loss 1.6694 (1.5985) Prec@1 54.375 (56.935) Prec@5 84.375 (85.100) Epoch: [83][1530/11272] Time 0.726 (0.777) Data 0.001 (0.004) Loss 1.6714 (1.5985) Prec@1 54.375 (56.937) Prec@5 86.875 (85.098) Epoch: [83][1540/11272] Time 0.817 (0.777) Data 0.001 (0.004) Loss 1.7093 (1.5991) Prec@1 56.250 (56.929) Prec@5 79.375 (85.085) Epoch: [83][1550/11272] Time 0.796 (0.777) Data 0.001 (0.004) Loss 1.6700 (1.5992) Prec@1 53.125 (56.916) Prec@5 85.625 (85.085) Epoch: [83][1560/11272] Time 0.737 (0.777) Data 0.002 (0.004) Loss 1.6675 (1.5990) Prec@1 53.125 (56.926) Prec@5 86.250 (85.086) Epoch: [83][1570/11272] Time 0.742 (0.777) Data 0.001 (0.004) Loss 1.6601 (1.5987) Prec@1 60.625 (56.937) Prec@5 80.625 (85.086) Epoch: [83][1580/11272] Time 0.822 (0.777) Data 0.001 (0.004) Loss 1.7040 (1.5992) Prec@1 56.250 (56.929) Prec@5 83.125 (85.077) Epoch: [83][1590/11272] Time 0.691 (0.776) Data 0.002 (0.004) Loss 1.4428 (1.5989) Prec@1 60.625 (56.936) Prec@5 90.625 (85.087) Epoch: [83][1600/11272] Time 0.724 (0.777) Data 0.001 (0.004) Loss 1.5860 (1.5992) Prec@1 55.625 (56.932) Prec@5 88.125 (85.084) Epoch: [83][1610/11272] Time 0.885 (0.777) Data 0.001 (0.004) Loss 1.5227 (1.5993) Prec@1 58.750 (56.931) Prec@5 84.375 (85.084) Epoch: [83][1620/11272] Time 0.804 (0.777) Data 0.002 (0.004) Loss 1.6330 (1.5997) Prec@1 53.750 (56.922) Prec@5 85.000 (85.077) Epoch: [83][1630/11272] Time 0.723 (0.777) Data 0.001 (0.004) Loss 1.6273 (1.5998) Prec@1 60.625 (56.918) Prec@5 85.625 (85.079) Epoch: [83][1640/11272] Time 0.742 (0.777) Data 0.002 (0.004) Loss 1.5212 (1.5997) Prec@1 61.250 (56.921) Prec@5 87.500 (85.080) Epoch: [83][1650/11272] Time 0.844 (0.777) Data 0.002 (0.004) Loss 1.6379 (1.6002) Prec@1 53.750 (56.903) Prec@5 83.750 (85.075) Epoch: [83][1660/11272] Time 0.858 (0.777) Data 0.002 (0.004) Loss 1.6501 (1.6004) Prec@1 55.000 (56.890) Prec@5 84.375 (85.073) Epoch: [83][1670/11272] Time 0.721 (0.777) Data 0.001 (0.004) Loss 1.4627 (1.6002) Prec@1 58.125 (56.887) Prec@5 88.750 (85.076) Epoch: [83][1680/11272] Time 0.749 (0.777) Data 0.001 (0.004) Loss 1.3873 (1.5998) Prec@1 61.875 (56.898) Prec@5 87.500 (85.083) Epoch: [83][1690/11272] Time 0.813 (0.776) Data 0.001 (0.004) Loss 1.2915 (1.5995) Prec@1 66.250 (56.901) Prec@5 89.375 (85.088) Epoch: [83][1700/11272] Time 0.808 (0.776) Data 0.001 (0.004) Loss 1.5017 (1.5992) Prec@1 58.750 (56.904) Prec@5 89.375 (85.096) Epoch: [83][1710/11272] Time 0.746 (0.776) Data 0.001 (0.004) Loss 1.5477 (1.5992) Prec@1 57.500 (56.900) Prec@5 86.250 (85.096) Epoch: [83][1720/11272] Time 0.812 (0.776) Data 0.002 (0.004) Loss 1.4711 (1.5995) Prec@1 62.500 (56.898) Prec@5 83.750 (85.093) Epoch: [83][1730/11272] Time 0.853 (0.777) Data 0.002 (0.004) Loss 1.5307 (1.5995) Prec@1 55.625 (56.901) Prec@5 85.625 (85.089) Epoch: [83][1740/11272] Time 0.711 (0.776) Data 0.001 (0.004) Loss 1.2690 (1.5992) Prec@1 68.750 (56.909) Prec@5 88.750 (85.093) Epoch: [83][1750/11272] Time 0.700 (0.776) Data 0.001 (0.004) Loss 1.6110 (1.5995) Prec@1 52.500 (56.901) Prec@5 85.625 (85.092) Epoch: [83][1760/11272] Time 0.836 (0.776) Data 0.001 (0.004) Loss 1.7864 (1.5994) Prec@1 55.625 (56.899) Prec@5 80.625 (85.099) Epoch: [83][1770/11272] Time 0.834 (0.776) Data 0.001 (0.004) Loss 1.6048 (1.5993) Prec@1 54.375 (56.897) Prec@5 86.250 (85.106) Epoch: [83][1780/11272] Time 0.689 (0.776) Data 0.001 (0.004) Loss 1.5552 (1.5996) Prec@1 61.875 (56.900) Prec@5 86.250 (85.097) Epoch: [83][1790/11272] Time 0.728 (0.776) Data 0.001 (0.004) Loss 1.8707 (1.5998) Prec@1 48.750 (56.890) Prec@5 79.375 (85.089) Epoch: [83][1800/11272] Time 0.860 (0.776) Data 0.001 (0.004) Loss 1.7193 (1.6000) Prec@1 54.375 (56.885) Prec@5 81.250 (85.084) Epoch: [83][1810/11272] Time 0.814 (0.776) Data 0.001 (0.004) Loss 1.4123 (1.6002) Prec@1 58.750 (56.879) Prec@5 89.375 (85.083) Epoch: [83][1820/11272] Time 0.701 (0.776) Data 0.001 (0.004) Loss 1.7438 (1.6001) Prec@1 52.500 (56.877) Prec@5 83.125 (85.083) Epoch: [83][1830/11272] Time 0.712 (0.776) Data 0.001 (0.004) Loss 1.6166 (1.6002) Prec@1 58.750 (56.876) Prec@5 82.500 (85.078) Epoch: [83][1840/11272] Time 0.834 (0.776) Data 0.001 (0.003) Loss 1.8809 (1.6002) Prec@1 55.625 (56.874) Prec@5 78.750 (85.080) Epoch: [83][1850/11272] Time 0.739 (0.776) Data 0.003 (0.003) Loss 1.5469 (1.6006) Prec@1 61.250 (56.870) Prec@5 84.375 (85.071) Epoch: [83][1860/11272] Time 0.728 (0.776) Data 0.001 (0.003) Loss 1.8503 (1.6013) Prec@1 53.125 (56.857) Prec@5 80.625 (85.062) Epoch: [83][1870/11272] Time 0.842 (0.776) Data 0.001 (0.003) Loss 1.5828 (1.6016) Prec@1 59.375 (56.852) Prec@5 82.500 (85.047) Epoch: [83][1880/11272] Time 0.809 (0.776) Data 0.001 (0.003) Loss 1.8909 (1.6018) Prec@1 53.750 (56.848) Prec@5 78.750 (85.044) Epoch: [83][1890/11272] Time 0.712 (0.776) Data 0.001 (0.003) Loss 1.8830 (1.6021) Prec@1 53.125 (56.844) Prec@5 83.125 (85.038) Epoch: [83][1900/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.3062 (1.6024) Prec@1 62.500 (56.836) Prec@5 88.125 (85.033) Epoch: [83][1910/11272] Time 0.793 (0.776) Data 0.001 (0.003) Loss 1.7038 (1.6026) Prec@1 53.125 (56.821) Prec@5 80.000 (85.031) Epoch: [83][1920/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.5756 (1.6028) Prec@1 60.000 (56.817) Prec@5 84.375 (85.027) Epoch: [83][1930/11272] Time 0.769 (0.776) Data 0.001 (0.003) Loss 1.7410 (1.6026) Prec@1 52.500 (56.820) Prec@5 83.125 (85.031) Epoch: [83][1940/11272] Time 0.734 (0.776) Data 0.002 (0.003) Loss 1.6798 (1.6026) Prec@1 54.375 (56.817) Prec@5 88.750 (85.040) Epoch: [83][1950/11272] Time 0.846 (0.776) Data 0.002 (0.003) Loss 1.7654 (1.6030) Prec@1 54.375 (56.811) Prec@5 80.000 (85.037) Epoch: [83][1960/11272] Time 0.797 (0.776) Data 0.001 (0.003) Loss 1.6180 (1.6029) Prec@1 60.625 (56.818) Prec@5 83.125 (85.037) Epoch: [83][1970/11272] Time 0.779 (0.776) Data 0.002 (0.003) Loss 1.8960 (1.6034) Prec@1 55.625 (56.808) Prec@5 79.375 (85.027) Epoch: [83][1980/11272] Time 0.817 (0.776) Data 0.002 (0.003) Loss 1.5523 (1.6037) Prec@1 56.250 (56.799) Prec@5 85.000 (85.020) Epoch: [83][1990/11272] Time 0.819 (0.776) Data 0.001 (0.003) Loss 1.4781 (1.6034) Prec@1 60.000 (56.811) Prec@5 88.125 (85.026) Epoch: [83][2000/11272] Time 0.755 (0.776) Data 0.001 (0.003) Loss 1.5823 (1.6036) Prec@1 58.125 (56.810) Prec@5 85.625 (85.022) Epoch: [83][2010/11272] Time 0.715 (0.776) Data 0.001 (0.003) Loss 1.4994 (1.6036) Prec@1 60.625 (56.809) Prec@5 85.000 (85.022) Epoch: [83][2020/11272] Time 0.840 (0.776) Data 0.002 (0.003) Loss 1.4592 (1.6035) Prec@1 57.500 (56.804) Prec@5 89.375 (85.024) Epoch: [83][2030/11272] Time 0.844 (0.776) Data 0.002 (0.003) Loss 1.4649 (1.6031) Prec@1 58.750 (56.812) Prec@5 88.750 (85.029) Epoch: [83][2040/11272] Time 0.742 (0.776) Data 0.001 (0.003) Loss 1.6978 (1.6030) Prec@1 53.125 (56.814) Prec@5 84.375 (85.032) Epoch: [83][2050/11272] Time 0.739 (0.776) Data 0.001 (0.003) Loss 1.6055 (1.6027) Prec@1 58.750 (56.819) Prec@5 84.375 (85.036) Epoch: [83][2060/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.5669 (1.6023) Prec@1 56.250 (56.828) Prec@5 87.500 (85.045) Epoch: [83][2070/11272] Time 0.842 (0.776) Data 0.002 (0.003) Loss 1.5026 (1.6021) Prec@1 56.875 (56.833) Prec@5 86.875 (85.050) Epoch: [83][2080/11272] Time 0.748 (0.776) Data 0.002 (0.003) Loss 1.8354 (1.6020) Prec@1 52.500 (56.835) Prec@5 81.875 (85.052) Epoch: [83][2090/11272] Time 0.758 (0.776) Data 0.002 (0.003) Loss 1.9048 (1.6021) Prec@1 52.500 (56.832) Prec@5 80.000 (85.049) Epoch: [83][2100/11272] Time 0.796 (0.776) Data 0.001 (0.003) Loss 1.7753 (1.6018) Prec@1 50.625 (56.838) Prec@5 80.625 (85.053) Epoch: [83][2110/11272] Time 0.791 (0.776) Data 0.001 (0.003) Loss 1.5668 (1.6018) Prec@1 57.500 (56.842) Prec@5 85.625 (85.050) Epoch: [83][2120/11272] Time 0.772 (0.776) Data 0.002 (0.003) Loss 1.9101 (1.6020) Prec@1 53.750 (56.835) Prec@5 81.250 (85.046) Epoch: [83][2130/11272] Time 0.839 (0.776) Data 0.001 (0.003) Loss 1.5902 (1.6023) Prec@1 60.625 (56.826) Prec@5 83.750 (85.040) Epoch: [83][2140/11272] Time 0.850 (0.776) Data 0.002 (0.003) Loss 1.8337 (1.6022) Prec@1 48.750 (56.826) Prec@5 84.375 (85.040) Epoch: [83][2150/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.5522 (1.6019) Prec@1 61.250 (56.833) Prec@5 83.750 (85.042) Epoch: [83][2160/11272] Time 0.714 (0.776) Data 0.001 (0.003) Loss 1.4835 (1.6018) Prec@1 61.875 (56.840) Prec@5 87.500 (85.045) Epoch: [83][2170/11272] Time 0.818 (0.776) Data 0.002 (0.003) Loss 1.8391 (1.6019) Prec@1 50.625 (56.842) Prec@5 79.375 (85.039) Epoch: [83][2180/11272] Time 0.808 (0.776) Data 0.001 (0.003) Loss 1.6609 (1.6022) Prec@1 55.625 (56.831) Prec@5 83.750 (85.038) Epoch: [83][2190/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.6294 (1.6025) Prec@1 57.500 (56.826) Prec@5 81.250 (85.031) Epoch: [83][2200/11272] Time 0.719 (0.776) Data 0.002 (0.003) Loss 1.3591 (1.6021) Prec@1 58.750 (56.838) Prec@5 87.500 (85.036) Epoch: [83][2210/11272] Time 0.857 (0.776) Data 0.002 (0.003) Loss 1.6467 (1.6025) Prec@1 51.250 (56.825) Prec@5 86.875 (85.033) Epoch: [83][2220/11272] Time 0.842 (0.776) Data 0.001 (0.003) Loss 1.3182 (1.6021) Prec@1 64.375 (56.831) Prec@5 91.875 (85.041) Epoch: [83][2230/11272] Time 0.697 (0.776) Data 0.001 (0.003) Loss 1.7121 (1.6021) Prec@1 51.250 (56.830) Prec@5 83.125 (85.040) Epoch: [83][2240/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.5150 (1.6023) Prec@1 60.625 (56.826) Prec@5 84.375 (85.037) Epoch: [83][2250/11272] Time 0.809 (0.776) Data 0.001 (0.003) Loss 1.4654 (1.6023) Prec@1 62.500 (56.824) Prec@5 86.250 (85.035) Epoch: [83][2260/11272] Time 0.702 (0.776) Data 0.001 (0.003) Loss 1.4909 (1.6023) Prec@1 61.250 (56.823) Prec@5 87.500 (85.036) Epoch: [83][2270/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.8100 (1.6024) Prec@1 54.375 (56.820) Prec@5 78.125 (85.032) Epoch: [83][2280/11272] Time 0.853 (0.776) Data 0.001 (0.003) Loss 1.4269 (1.6023) Prec@1 61.875 (56.826) Prec@5 88.750 (85.033) Epoch: [83][2290/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.5275 (1.6020) Prec@1 60.000 (56.828) Prec@5 85.000 (85.036) Epoch: [83][2300/11272] Time 0.722 (0.776) Data 0.002 (0.003) Loss 1.8126 (1.6023) Prec@1 51.875 (56.824) Prec@5 78.750 (85.033) Epoch: [83][2310/11272] Time 0.747 (0.776) Data 0.002 (0.003) Loss 1.6353 (1.6024) Prec@1 57.500 (56.822) Prec@5 86.875 (85.034) Epoch: [83][2320/11272] Time 0.842 (0.776) Data 0.001 (0.003) Loss 1.3489 (1.6027) Prec@1 63.125 (56.817) Prec@5 88.750 (85.031) Epoch: [83][2330/11272] Time 0.808 (0.776) Data 0.001 (0.003) Loss 1.5704 (1.6027) Prec@1 53.125 (56.818) Prec@5 88.750 (85.031) Epoch: [83][2340/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.9776 (1.6029) Prec@1 53.750 (56.814) Prec@5 80.625 (85.029) Epoch: [83][2350/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.5921 (1.6030) Prec@1 55.000 (56.811) Prec@5 83.750 (85.023) Epoch: [83][2360/11272] Time 0.807 (0.776) Data 0.001 (0.003) Loss 1.8141 (1.6031) Prec@1 45.000 (56.805) Prec@5 83.125 (85.021) Epoch: [83][2370/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.5647 (1.6031) Prec@1 55.625 (56.800) Prec@5 85.625 (85.021) Epoch: [83][2380/11272] Time 0.733 (0.776) Data 0.001 (0.003) Loss 1.5745 (1.6031) Prec@1 57.500 (56.799) Prec@5 88.125 (85.020) Epoch: [83][2390/11272] Time 0.774 (0.776) Data 0.001 (0.003) Loss 1.6552 (1.6032) Prec@1 53.750 (56.794) Prec@5 85.000 (85.016) Epoch: [83][2400/11272] Time 0.816 (0.776) Data 0.001 (0.003) Loss 1.4619 (1.6032) Prec@1 58.750 (56.790) Prec@5 86.875 (85.014) Epoch: [83][2410/11272] Time 0.754 (0.776) Data 0.002 (0.003) Loss 1.4080 (1.6033) Prec@1 59.375 (56.783) Prec@5 90.000 (85.014) Epoch: [83][2420/11272] Time 0.729 (0.776) Data 0.001 (0.003) Loss 1.6647 (1.6035) Prec@1 56.250 (56.775) Prec@5 86.250 (85.009) Epoch: [83][2430/11272] Time 0.828 (0.776) Data 0.001 (0.003) Loss 1.5081 (1.6036) Prec@1 60.000 (56.767) Prec@5 86.250 (85.011) Epoch: [83][2440/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.5370 (1.6035) Prec@1 58.125 (56.767) Prec@5 86.875 (85.015) Epoch: [83][2450/11272] Time 0.704 (0.776) Data 0.001 (0.003) Loss 1.7539 (1.6034) Prec@1 52.500 (56.772) Prec@5 80.625 (85.017) Epoch: [83][2460/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.4431 (1.6035) Prec@1 58.750 (56.768) Prec@5 89.375 (85.015) Epoch: [83][2470/11272] Time 0.811 (0.776) Data 0.002 (0.003) Loss 1.4412 (1.6033) Prec@1 62.500 (56.771) Prec@5 85.625 (85.014) Epoch: [83][2480/11272] Time 0.837 (0.776) Data 0.001 (0.003) Loss 1.7928 (1.6035) Prec@1 53.125 (56.772) Prec@5 86.250 (85.015) Epoch: [83][2490/11272] Time 0.755 (0.776) Data 0.001 (0.003) Loss 1.6856 (1.6034) Prec@1 58.750 (56.776) Prec@5 84.375 (85.017) Epoch: [83][2500/11272] Time 0.689 (0.776) Data 0.001 (0.003) Loss 1.6715 (1.6034) Prec@1 53.750 (56.770) Prec@5 83.125 (85.015) Epoch: [83][2510/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.8219 (1.6034) Prec@1 50.000 (56.770) Prec@5 82.500 (85.017) Epoch: [83][2520/11272] Time 0.710 (0.776) Data 0.002 (0.003) Loss 1.5546 (1.6033) Prec@1 61.250 (56.770) Prec@5 85.625 (85.018) Epoch: [83][2530/11272] Time 0.732 (0.776) Data 0.002 (0.003) Loss 1.7593 (1.6034) Prec@1 52.500 (56.774) Prec@5 82.500 (85.013) Epoch: [83][2540/11272] Time 0.812 (0.776) Data 0.001 (0.003) Loss 1.5984 (1.6033) Prec@1 56.875 (56.774) Prec@5 83.750 (85.014) Epoch: [83][2550/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.5540 (1.6035) Prec@1 56.250 (56.768) Prec@5 84.375 (85.011) Epoch: [83][2560/11272] Time 0.691 (0.776) Data 0.001 (0.003) Loss 1.5751 (1.6037) Prec@1 52.500 (56.764) Prec@5 86.250 (85.006) Epoch: [83][2570/11272] Time 0.705 (0.776) Data 0.001 (0.003) Loss 1.6650 (1.6038) Prec@1 53.750 (56.762) Prec@5 83.750 (85.003) Epoch: [83][2580/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.6189 (1.6038) Prec@1 56.250 (56.764) Prec@5 85.000 (85.001) Epoch: [83][2590/11272] Time 0.810 (0.776) Data 0.001 (0.003) Loss 1.4305 (1.6039) Prec@1 62.500 (56.762) Prec@5 88.125 (85.002) Epoch: [83][2600/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.8554 (1.6042) Prec@1 53.125 (56.757) Prec@5 81.875 (84.999) Epoch: [83][2610/11272] Time 0.731 (0.776) Data 0.002 (0.003) Loss 1.8945 (1.6041) Prec@1 50.625 (56.757) Prec@5 81.875 (85.001) Epoch: [83][2620/11272] Time 0.823 (0.776) Data 0.001 (0.003) Loss 1.4649 (1.6040) Prec@1 56.250 (56.756) Prec@5 88.125 (85.004) Epoch: [83][2630/11272] Time 0.806 (0.776) Data 0.001 (0.003) Loss 1.5733 (1.6039) Prec@1 53.750 (56.765) Prec@5 87.500 (85.007) Epoch: [83][2640/11272] Time 0.713 (0.776) Data 0.001 (0.003) Loss 1.7767 (1.6041) Prec@1 56.875 (56.759) Prec@5 78.750 (85.004) Epoch: [83][2650/11272] Time 0.897 (0.776) Data 0.002 (0.003) Loss 1.7314 (1.6043) Prec@1 56.875 (56.755) Prec@5 83.750 (85.002) Epoch: [83][2660/11272] Time 0.853 (0.776) Data 0.002 (0.003) Loss 1.6649 (1.6043) Prec@1 51.875 (56.750) Prec@5 83.125 (85.000) Epoch: [83][2670/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.8185 (1.6046) Prec@1 51.250 (56.746) Prec@5 80.000 (84.992) Epoch: [83][2680/11272] Time 0.733 (0.776) Data 0.001 (0.003) Loss 1.5837 (1.6047) Prec@1 56.875 (56.745) Prec@5 86.250 (84.987) Epoch: [83][2690/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.7064 (1.6047) Prec@1 50.625 (56.740) Prec@5 81.250 (84.992) Epoch: [83][2700/11272] Time 0.811 (0.776) Data 0.001 (0.003) Loss 1.6540 (1.6047) Prec@1 58.125 (56.744) Prec@5 85.625 (84.989) Epoch: [83][2710/11272] Time 0.716 (0.776) Data 0.001 (0.003) Loss 1.5712 (1.6049) Prec@1 60.000 (56.747) Prec@5 85.625 (84.983) Epoch: [83][2720/11272] Time 0.736 (0.776) Data 0.001 (0.003) Loss 1.5792 (1.6050) Prec@1 60.000 (56.746) Prec@5 81.250 (84.980) Epoch: [83][2730/11272] Time 0.818 (0.776) Data 0.001 (0.003) Loss 1.3070 (1.6049) Prec@1 63.125 (56.741) Prec@5 90.625 (84.984) Epoch: [83][2740/11272] Time 0.782 (0.776) Data 0.001 (0.003) Loss 1.7243 (1.6049) Prec@1 55.625 (56.739) Prec@5 85.000 (84.983) Epoch: [83][2750/11272] Time 0.712 (0.776) Data 0.001 (0.003) Loss 1.5997 (1.6049) Prec@1 53.125 (56.733) Prec@5 86.875 (84.982) Epoch: [83][2760/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.6500 (1.6050) Prec@1 55.000 (56.731) Prec@5 85.000 (84.983) Epoch: [83][2770/11272] Time 0.865 (0.776) Data 0.002 (0.003) Loss 1.6897 (1.6051) Prec@1 51.250 (56.728) Prec@5 82.500 (84.982) Epoch: [83][2780/11272] Time 0.713 (0.776) Data 0.002 (0.003) Loss 1.4925 (1.6051) Prec@1 57.500 (56.731) Prec@5 88.125 (84.983) Epoch: [83][2790/11272] Time 0.739 (0.776) Data 0.001 (0.003) Loss 1.6102 (1.6052) Prec@1 51.250 (56.726) Prec@5 84.375 (84.984) Epoch: [83][2800/11272] Time 0.824 (0.776) Data 0.001 (0.003) Loss 1.6686 (1.6052) Prec@1 59.375 (56.727) Prec@5 83.750 (84.981) Epoch: [83][2810/11272] Time 0.822 (0.776) Data 0.002 (0.003) Loss 1.6092 (1.6052) Prec@1 58.750 (56.724) Prec@5 83.750 (84.979) Epoch: [83][2820/11272] Time 0.749 (0.776) Data 0.001 (0.003) Loss 1.7745 (1.6053) Prec@1 50.625 (56.719) Prec@5 81.875 (84.976) Epoch: [83][2830/11272] Time 0.711 (0.776) Data 0.002 (0.003) Loss 1.4395 (1.6056) Prec@1 62.500 (56.716) Prec@5 88.750 (84.974) Epoch: [83][2840/11272] Time 0.866 (0.776) Data 0.002 (0.003) Loss 1.7420 (1.6056) Prec@1 49.375 (56.716) Prec@5 82.500 (84.974) Epoch: [83][2850/11272] Time 0.816 (0.776) Data 0.001 (0.003) Loss 1.4202 (1.6055) Prec@1 59.375 (56.716) Prec@5 89.375 (84.978) Epoch: [83][2860/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.6675 (1.6056) Prec@1 53.125 (56.716) Prec@5 86.875 (84.976) Epoch: [83][2870/11272] Time 0.700 (0.776) Data 0.001 (0.003) Loss 1.5393 (1.6055) Prec@1 56.250 (56.716) Prec@5 86.250 (84.977) Epoch: [83][2880/11272] Time 0.805 (0.776) Data 0.001 (0.003) Loss 1.4789 (1.6053) Prec@1 60.000 (56.716) Prec@5 87.500 (84.982) Epoch: [83][2890/11272] Time 0.808 (0.776) Data 0.001 (0.003) Loss 1.7204 (1.6055) Prec@1 55.625 (56.713) Prec@5 83.750 (84.978) Epoch: [83][2900/11272] Time 0.730 (0.776) Data 0.001 (0.003) Loss 1.5183 (1.6056) Prec@1 57.500 (56.713) Prec@5 89.375 (84.975) Epoch: [83][2910/11272] Time 0.867 (0.776) Data 0.001 (0.003) Loss 1.5009 (1.6055) Prec@1 62.500 (56.716) Prec@5 85.625 (84.980) Epoch: [83][2920/11272] Time 0.829 (0.776) Data 0.001 (0.003) Loss 1.3482 (1.6055) Prec@1 59.375 (56.716) Prec@5 89.375 (84.978) Epoch: [83][2930/11272] Time 0.720 (0.776) Data 0.001 (0.003) Loss 1.5070 (1.6056) Prec@1 58.750 (56.713) Prec@5 88.750 (84.977) Epoch: [83][2940/11272] Time 0.697 (0.776) Data 0.001 (0.003) Loss 1.8459 (1.6058) Prec@1 48.750 (56.707) Prec@5 83.750 (84.972) Epoch: [83][2950/11272] Time 0.830 (0.776) Data 0.001 (0.003) Loss 1.5878 (1.6060) Prec@1 55.000 (56.701) Prec@5 86.250 (84.967) Epoch: [83][2960/11272] Time 0.846 (0.776) Data 0.001 (0.003) Loss 1.6012 (1.6063) Prec@1 60.625 (56.700) Prec@5 85.625 (84.961) Epoch: [83][2970/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.6506 (1.6063) Prec@1 58.750 (56.699) Prec@5 81.875 (84.962) Epoch: [83][2980/11272] Time 0.722 (0.776) Data 0.001 (0.003) Loss 1.3626 (1.6064) Prec@1 65.000 (56.695) Prec@5 86.875 (84.960) Epoch: [83][2990/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.7484 (1.6065) Prec@1 52.500 (56.693) Prec@5 87.500 (84.958) Epoch: [83][3000/11272] Time 0.814 (0.776) Data 0.001 (0.003) Loss 1.5320 (1.6066) Prec@1 55.000 (56.692) Prec@5 83.750 (84.956) Epoch: [83][3010/11272] Time 0.703 (0.776) Data 0.001 (0.003) Loss 1.6083 (1.6062) Prec@1 55.000 (56.703) Prec@5 85.000 (84.959) Epoch: [83][3020/11272] Time 0.699 (0.776) Data 0.001 (0.003) Loss 1.4819 (1.6059) Prec@1 58.125 (56.708) Prec@5 86.250 (84.962) Epoch: [83][3030/11272] Time 0.832 (0.776) Data 0.001 (0.003) Loss 1.8163 (1.6059) Prec@1 46.250 (56.706) Prec@5 80.000 (84.960) Epoch: [83][3040/11272] Time 0.813 (0.776) Data 0.002 (0.003) Loss 1.6700 (1.6058) Prec@1 55.000 (56.706) Prec@5 82.500 (84.962) Epoch: [83][3050/11272] Time 0.716 (0.776) Data 0.002 (0.003) Loss 1.8251 (1.6058) Prec@1 51.875 (56.704) Prec@5 80.000 (84.960) Epoch: [83][3060/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.8073 (1.6060) Prec@1 50.000 (56.702) Prec@5 80.625 (84.958) Epoch: [83][3070/11272] Time 0.873 (0.776) Data 0.002 (0.003) Loss 1.5612 (1.6059) Prec@1 51.875 (56.700) Prec@5 86.250 (84.959) Epoch: [83][3080/11272] Time 0.754 (0.776) Data 0.002 (0.003) Loss 1.4713 (1.6060) Prec@1 61.250 (56.693) Prec@5 86.875 (84.957) Epoch: [83][3090/11272] Time 0.724 (0.776) Data 0.001 (0.003) Loss 1.5274 (1.6060) Prec@1 60.625 (56.696) Prec@5 86.875 (84.955) Epoch: [83][3100/11272] Time 0.845 (0.776) Data 0.002 (0.003) Loss 1.5550 (1.6061) Prec@1 57.500 (56.694) Prec@5 83.750 (84.951) Epoch: [83][3110/11272] Time 0.820 (0.776) Data 0.001 (0.003) Loss 1.2644 (1.6059) Prec@1 60.625 (56.697) Prec@5 93.125 (84.956) Epoch: [83][3120/11272] Time 0.726 (0.776) Data 0.001 (0.003) Loss 1.7149 (1.6060) Prec@1 56.250 (56.691) Prec@5 84.375 (84.954) Epoch: [83][3130/11272] Time 0.692 (0.776) Data 0.001 (0.003) Loss 1.6728 (1.6062) Prec@1 50.625 (56.682) Prec@5 83.125 (84.954) Epoch: [83][3140/11272] Time 0.848 (0.776) Data 0.002 (0.003) Loss 1.3592 (1.6061) Prec@1 60.625 (56.682) Prec@5 86.875 (84.955) Epoch: [83][3150/11272] Time 0.815 (0.776) Data 0.001 (0.003) Loss 1.6693 (1.6063) Prec@1 57.500 (56.679) Prec@5 85.625 (84.952) Epoch: [83][3160/11272] Time 0.710 (0.776) Data 0.001 (0.003) Loss 1.6092 (1.6063) Prec@1 59.375 (56.679) Prec@5 85.000 (84.952) Epoch: [83][3170/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.5185 (1.6061) Prec@1 58.125 (56.683) Prec@5 89.375 (84.959) Epoch: [83][3180/11272] Time 0.841 (0.776) Data 0.001 (0.003) Loss 1.5576 (1.6062) Prec@1 58.750 (56.680) Prec@5 84.375 (84.959) Epoch: [83][3190/11272] Time 0.719 (0.776) Data 0.001 (0.003) Loss 1.4747 (1.6064) Prec@1 57.500 (56.674) Prec@5 86.875 (84.956) Epoch: [83][3200/11272] Time 0.729 (0.776) Data 0.001 (0.003) Loss 1.5467 (1.6065) Prec@1 53.750 (56.671) Prec@5 88.125 (84.955) Epoch: [83][3210/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.5395 (1.6064) Prec@1 63.125 (56.673) Prec@5 89.375 (84.957) Epoch: [83][3220/11272] Time 0.821 (0.776) Data 0.001 (0.003) Loss 1.7520 (1.6064) Prec@1 53.125 (56.673) Prec@5 82.500 (84.955) Epoch: [83][3230/11272] Time 0.712 (0.776) Data 0.002 (0.003) Loss 1.6674 (1.6064) Prec@1 54.375 (56.674) Prec@5 80.000 (84.956) Epoch: [83][3240/11272] Time 0.723 (0.776) Data 0.002 (0.003) Loss 1.5967 (1.6064) Prec@1 53.125 (56.670) Prec@5 87.500 (84.955) Epoch: [83][3250/11272] Time 0.812 (0.776) Data 0.001 (0.003) Loss 1.4290 (1.6065) Prec@1 60.625 (56.668) Prec@5 88.750 (84.954) Epoch: [83][3260/11272] Time 0.817 (0.776) Data 0.001 (0.003) Loss 1.7259 (1.6067) Prec@1 55.000 (56.666) Prec@5 81.250 (84.951) Epoch: [83][3270/11272] Time 0.734 (0.776) Data 0.002 (0.003) Loss 1.7504 (1.6065) Prec@1 49.375 (56.669) Prec@5 81.875 (84.954) Epoch: [83][3280/11272] Time 0.719 (0.776) Data 0.002 (0.003) Loss 1.7030 (1.6065) Prec@1 53.750 (56.672) Prec@5 84.375 (84.955) Epoch: [83][3290/11272] Time 0.814 (0.776) Data 0.001 (0.003) Loss 1.6729 (1.6063) Prec@1 56.875 (56.677) Prec@5 81.875 (84.959) Epoch: [83][3300/11272] Time 0.831 (0.776) Data 0.001 (0.003) Loss 1.4186 (1.6061) Prec@1 59.375 (56.680) Prec@5 88.750 (84.962) Epoch: [83][3310/11272] Time 0.708 (0.775) Data 0.001 (0.003) Loss 1.7364 (1.6063) Prec@1 51.250 (56.675) Prec@5 84.375 (84.960) Epoch: [83][3320/11272] Time 0.790 (0.775) Data 0.001 (0.003) Loss 1.9050 (1.6062) Prec@1 53.125 (56.680) Prec@5 78.125 (84.960) Epoch: [83][3330/11272] Time 0.832 (0.776) Data 0.002 (0.003) Loss 1.4196 (1.6062) Prec@1 60.000 (56.678) Prec@5 86.875 (84.959) Epoch: [83][3340/11272] Time 0.717 (0.776) Data 0.001 (0.003) Loss 1.6164 (1.6063) Prec@1 54.375 (56.680) Prec@5 83.750 (84.958) Epoch: [83][3350/11272] Time 0.707 (0.776) Data 0.001 (0.003) Loss 1.5224 (1.6062) Prec@1 55.000 (56.682) Prec@5 88.125 (84.960) Epoch: [83][3360/11272] Time 0.828 (0.776) Data 0.001 (0.003) Loss 1.8593 (1.6063) Prec@1 50.625 (56.676) Prec@5 83.125 (84.958) Epoch: [83][3370/11272] Time 0.814 (0.775) Data 0.001 (0.003) Loss 1.8911 (1.6065) Prec@1 50.000 (56.672) Prec@5 80.000 (84.957) Epoch: [83][3380/11272] Time 0.714 (0.775) Data 0.001 (0.003) Loss 1.5521 (1.6066) Prec@1 53.125 (56.665) Prec@5 89.375 (84.960) Epoch: [83][3390/11272] Time 0.731 (0.775) Data 0.001 (0.003) Loss 1.5560 (1.6066) Prec@1 59.375 (56.666) Prec@5 85.000 (84.958) Epoch: [83][3400/11272] Time 0.845 (0.775) Data 0.002 (0.003) Loss 1.7678 (1.6066) Prec@1 57.500 (56.669) Prec@5 78.750 (84.957) Epoch: [83][3410/11272] Time 0.822 (0.775) Data 0.002 (0.003) Loss 1.8261 (1.6067) Prec@1 55.625 (56.666) Prec@5 85.625 (84.952) Epoch: [83][3420/11272] Time 0.731 (0.775) Data 0.001 (0.003) Loss 1.5588 (1.6069) Prec@1 57.500 (56.660) Prec@5 87.500 (84.953) Epoch: [83][3430/11272] Time 0.708 (0.775) Data 0.001 (0.003) Loss 1.7645 (1.6069) Prec@1 51.875 (56.653) Prec@5 83.750 (84.956) Epoch: [83][3440/11272] Time 0.793 (0.775) Data 0.001 (0.003) Loss 1.4544 (1.6070) Prec@1 60.625 (56.648) Prec@5 86.875 (84.956) Epoch: [83][3450/11272] Time 0.721 (0.775) Data 0.003 (0.003) Loss 1.5239 (1.6071) Prec@1 55.000 (56.641) Prec@5 87.500 (84.959) Epoch: [83][3460/11272] Time 0.712 (0.775) Data 0.001 (0.003) Loss 1.7129 (1.6071) Prec@1 50.625 (56.641) Prec@5 82.500 (84.960) Epoch: [83][3470/11272] Time 0.822 (0.775) Data 0.002 (0.003) Loss 1.6179 (1.6071) Prec@1 53.125 (56.636) Prec@5 86.250 (84.958) Epoch: [83][3480/11272] Time 0.824 (0.775) Data 0.001 (0.003) Loss 1.5086 (1.6069) Prec@1 54.375 (56.641) Prec@5 85.000 (84.961) Epoch: [83][3490/11272] Time 0.743 (0.775) Data 0.002 (0.003) Loss 1.5061 (1.6069) Prec@1 56.875 (56.638) Prec@5 85.625 (84.960) Epoch: [83][3500/11272] Time 0.720 (0.775) Data 0.001 (0.003) Loss 1.6415 (1.6070) Prec@1 56.250 (56.635) Prec@5 86.250 (84.958) Epoch: [83][3510/11272] Time 0.825 (0.775) Data 0.001 (0.003) Loss 1.7928 (1.6070) Prec@1 53.750 (56.638) Prec@5 81.250 (84.956) Epoch: [83][3520/11272] Time 0.820 (0.775) Data 0.001 (0.003) Loss 1.5938 (1.6070) Prec@1 53.750 (56.637) Prec@5 88.125 (84.956) Epoch: [83][3530/11272] Time 0.709 (0.775) Data 0.001 (0.003) Loss 1.6546 (1.6071) Prec@1 53.750 (56.636) Prec@5 85.625 (84.951) Epoch: [83][3540/11272] Time 0.698 (0.775) Data 0.001 (0.003) Loss 1.6509 (1.6070) Prec@1 60.000 (56.638) Prec@5 83.125 (84.953) Epoch: [83][3550/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.6804 (1.6071) Prec@1 54.375 (56.635) Prec@5 80.625 (84.951) Epoch: [83][3560/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.4420 (1.6073) Prec@1 60.625 (56.632) Prec@5 89.375 (84.946) Epoch: [83][3570/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6240 (1.6074) Prec@1 58.750 (56.632) Prec@5 86.250 (84.944) Epoch: [83][3580/11272] Time 0.840 (0.775) Data 0.001 (0.002) Loss 1.6158 (1.6075) Prec@1 58.750 (56.630) Prec@5 83.125 (84.940) Epoch: [83][3590/11272] Time 0.847 (0.775) Data 0.001 (0.002) Loss 1.6434 (1.6077) Prec@1 57.500 (56.627) Prec@5 84.375 (84.936) Epoch: [83][3600/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.6596 (1.6077) Prec@1 60.625 (56.629) Prec@5 83.750 (84.936) Epoch: [83][3610/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6164 (1.6079) Prec@1 56.250 (56.624) Prec@5 88.750 (84.933) Epoch: [83][3620/11272] Time 0.865 (0.775) Data 0.001 (0.002) Loss 1.7202 (1.6080) Prec@1 53.750 (56.623) Prec@5 83.750 (84.935) Epoch: [83][3630/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5103 (1.6081) Prec@1 58.125 (56.620) Prec@5 87.500 (84.933) Epoch: [83][3640/11272] Time 0.701 (0.775) Data 0.001 (0.002) Loss 1.6260 (1.6080) Prec@1 55.000 (56.622) Prec@5 84.375 (84.935) Epoch: [83][3650/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5199 (1.6080) Prec@1 55.625 (56.620) Prec@5 89.375 (84.933) Epoch: [83][3660/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5323 (1.6081) Prec@1 63.125 (56.622) Prec@5 84.375 (84.929) Epoch: [83][3670/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.6930 (1.6083) Prec@1 57.500 (56.617) Prec@5 82.500 (84.927) Epoch: [83][3680/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.6533 (1.6084) Prec@1 59.375 (56.611) Prec@5 83.750 (84.925) Epoch: [83][3690/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5548 (1.6085) Prec@1 60.000 (56.610) Prec@5 85.625 (84.925) Epoch: [83][3700/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.7235 (1.6084) Prec@1 51.875 (56.609) Prec@5 81.875 (84.928) Epoch: [83][3710/11272] Time 0.747 (0.775) Data 0.003 (0.002) Loss 1.5840 (1.6084) Prec@1 57.500 (56.609) Prec@5 85.625 (84.930) Epoch: [83][3720/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6910 (1.6085) Prec@1 56.250 (56.606) Prec@5 83.750 (84.928) Epoch: [83][3730/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.8741 (1.6086) Prec@1 46.875 (56.599) Prec@5 85.000 (84.927) Epoch: [83][3740/11272] Time 0.801 (0.775) Data 0.001 (0.002) Loss 1.6354 (1.6086) Prec@1 55.625 (56.598) Prec@5 86.250 (84.927) Epoch: [83][3750/11272] Time 0.740 (0.775) Data 0.002 (0.002) Loss 1.4103 (1.6086) Prec@1 62.500 (56.597) Prec@5 91.875 (84.927) Epoch: [83][3760/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.4033 (1.6086) Prec@1 60.000 (56.600) Prec@5 88.125 (84.927) Epoch: [83][3770/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7347 (1.6087) Prec@1 60.625 (56.600) Prec@5 82.500 (84.926) Epoch: [83][3780/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.5697 (1.6087) Prec@1 60.000 (56.600) Prec@5 88.750 (84.929) Epoch: [83][3790/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6778 (1.6086) Prec@1 49.375 (56.599) Prec@5 83.125 (84.931) Epoch: [83][3800/11272] Time 0.769 (0.775) Data 0.001 (0.002) Loss 1.5224 (1.6084) Prec@1 58.750 (56.599) Prec@5 88.125 (84.933) Epoch: [83][3810/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.7772 (1.6084) Prec@1 53.125 (56.600) Prec@5 77.500 (84.934) Epoch: [83][3820/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.3578 (1.6081) Prec@1 60.625 (56.605) Prec@5 91.875 (84.941) Epoch: [83][3830/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.7610 (1.6081) Prec@1 52.500 (56.608) Prec@5 78.125 (84.941) Epoch: [83][3840/11272] Time 0.803 (0.775) Data 0.002 (0.002) Loss 1.4495 (1.6082) Prec@1 61.250 (56.610) Prec@5 88.750 (84.938) Epoch: [83][3850/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.5991 (1.6083) Prec@1 53.125 (56.607) Prec@5 85.000 (84.939) Epoch: [83][3860/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6811 (1.6085) Prec@1 55.625 (56.604) Prec@5 85.625 (84.933) Epoch: [83][3870/11272] Time 0.713 (0.775) Data 0.002 (0.002) Loss 1.4337 (1.6085) Prec@1 60.000 (56.603) Prec@5 86.250 (84.936) Epoch: [83][3880/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.5878 (1.6086) Prec@1 54.375 (56.600) Prec@5 83.125 (84.939) Epoch: [83][3890/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.5120 (1.6085) Prec@1 58.750 (56.600) Prec@5 83.750 (84.939) Epoch: [83][3900/11272] Time 0.752 (0.775) Data 0.002 (0.002) Loss 1.6439 (1.6086) Prec@1 51.875 (56.595) Prec@5 86.250 (84.940) Epoch: [83][3910/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.6333 (1.6087) Prec@1 58.125 (56.591) Prec@5 84.375 (84.939) Epoch: [83][3920/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.5593 (1.6086) Prec@1 58.125 (56.592) Prec@5 86.250 (84.940) Epoch: [83][3930/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.7302 (1.6086) Prec@1 53.125 (56.590) Prec@5 82.500 (84.938) Epoch: [83][3940/11272] Time 0.769 (0.775) Data 0.002 (0.002) Loss 1.5506 (1.6088) Prec@1 56.250 (56.587) Prec@5 85.000 (84.934) Epoch: [83][3950/11272] Time 0.740 (0.775) Data 0.002 (0.002) Loss 1.4759 (1.6088) Prec@1 57.500 (56.587) Prec@5 88.125 (84.935) Epoch: [83][3960/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.7260 (1.6089) Prec@1 55.000 (56.583) Prec@5 83.750 (84.934) Epoch: [83][3970/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.5393 (1.6088) Prec@1 54.375 (56.581) Prec@5 86.250 (84.936) Epoch: [83][3980/11272] Time 0.748 (0.775) Data 0.002 (0.002) Loss 1.6046 (1.6088) Prec@1 53.750 (56.575) Prec@5 83.750 (84.935) Epoch: [83][3990/11272] Time 0.840 (0.775) Data 0.001 (0.002) Loss 1.4112 (1.6089) Prec@1 60.000 (56.576) Prec@5 87.500 (84.933) Epoch: [83][4000/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.4924 (1.6088) Prec@1 57.500 (56.578) Prec@5 86.875 (84.934) Epoch: [83][4010/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.4512 (1.6087) Prec@1 59.375 (56.578) Prec@5 86.250 (84.935) Epoch: [83][4020/11272] Time 0.743 (0.775) Data 0.001 (0.002) Loss 1.4920 (1.6087) Prec@1 59.375 (56.578) Prec@5 88.125 (84.937) Epoch: [83][4030/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.5699 (1.6087) Prec@1 55.625 (56.582) Prec@5 86.875 (84.936) Epoch: [83][4040/11272] Time 0.884 (0.775) Data 0.001 (0.002) Loss 1.4946 (1.6087) Prec@1 63.125 (56.583) Prec@5 85.000 (84.933) Epoch: [83][4050/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.9249 (1.6089) Prec@1 50.625 (56.577) Prec@5 78.750 (84.930) Epoch: [83][4060/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6288 (1.6090) Prec@1 53.750 (56.574) Prec@5 81.875 (84.929) Epoch: [83][4070/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.8963 (1.6091) Prec@1 47.500 (56.570) Prec@5 78.125 (84.928) Epoch: [83][4080/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.3446 (1.6091) Prec@1 60.625 (56.568) Prec@5 88.125 (84.926) Epoch: [83][4090/11272] Time 0.707 (0.775) Data 0.001 (0.002) Loss 1.6964 (1.6093) Prec@1 52.500 (56.562) Prec@5 84.375 (84.925) Epoch: [83][4100/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.7935 (1.6093) Prec@1 53.750 (56.564) Prec@5 83.125 (84.924) Epoch: [83][4110/11272] Time 0.830 (0.775) Data 0.001 (0.002) Loss 1.6382 (1.6093) Prec@1 56.250 (56.567) Prec@5 83.125 (84.926) Epoch: [83][4120/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.6015 (1.6092) Prec@1 50.625 (56.564) Prec@5 85.000 (84.926) Epoch: [83][4130/11272] Time 0.722 (0.775) Data 0.002 (0.002) Loss 1.7877 (1.6094) Prec@1 52.500 (56.561) Prec@5 80.000 (84.920) Epoch: [83][4140/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5814 (1.6093) Prec@1 53.750 (56.563) Prec@5 85.000 (84.922) Epoch: [83][4150/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.6559 (1.6092) Prec@1 51.250 (56.566) Prec@5 85.625 (84.923) Epoch: [83][4160/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.6895 (1.6090) Prec@1 52.500 (56.570) Prec@5 85.000 (84.927) Epoch: [83][4170/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5998 (1.6090) Prec@1 54.375 (56.567) Prec@5 83.750 (84.927) Epoch: [83][4180/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.6484 (1.6090) Prec@1 55.625 (56.567) Prec@5 85.000 (84.926) Epoch: [83][4190/11272] Time 0.780 (0.775) Data 0.001 (0.002) Loss 1.5697 (1.6091) Prec@1 59.375 (56.569) Prec@5 83.750 (84.926) Epoch: [83][4200/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6944 (1.6092) Prec@1 52.500 (56.566) Prec@5 85.000 (84.925) Epoch: [83][4210/11272] Time 0.725 (0.775) Data 0.002 (0.002) Loss 1.3106 (1.6090) Prec@1 60.625 (56.570) Prec@5 93.750 (84.929) Epoch: [83][4220/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.4455 (1.6089) Prec@1 59.375 (56.568) Prec@5 83.750 (84.931) Epoch: [83][4230/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.5638 (1.6090) Prec@1 58.125 (56.567) Prec@5 85.625 (84.927) Epoch: [83][4240/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.8538 (1.6091) Prec@1 51.875 (56.562) Prec@5 80.625 (84.923) Epoch: [83][4250/11272] Time 0.783 (0.775) Data 0.002 (0.002) Loss 1.7964 (1.6093) Prec@1 47.500 (56.557) Prec@5 85.625 (84.922) Epoch: [83][4260/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.5184 (1.6093) Prec@1 55.625 (56.557) Prec@5 83.750 (84.921) Epoch: [83][4270/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.5622 (1.6094) Prec@1 55.000 (56.553) Prec@5 84.375 (84.916) Epoch: [83][4280/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.3998 (1.6094) Prec@1 60.625 (56.551) Prec@5 89.375 (84.918) Epoch: [83][4290/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.6949 (1.6095) Prec@1 57.500 (56.550) Prec@5 81.875 (84.916) Epoch: [83][4300/11272] Time 0.833 (0.775) Data 0.002 (0.002) Loss 1.3747 (1.6094) Prec@1 63.750 (56.553) Prec@5 86.875 (84.918) Epoch: [83][4310/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7576 (1.6092) Prec@1 56.875 (56.559) Prec@5 81.250 (84.922) Epoch: [83][4320/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.6005 (1.6093) Prec@1 57.500 (56.556) Prec@5 83.750 (84.919) Epoch: [83][4330/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.8152 (1.6094) Prec@1 52.500 (56.553) Prec@5 80.625 (84.917) Epoch: [83][4340/11272] Time 0.784 (0.775) Data 0.001 (0.002) Loss 1.5272 (1.6093) Prec@1 60.625 (56.554) Prec@5 83.750 (84.919) Epoch: [83][4350/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.4011 (1.6094) Prec@1 58.750 (56.551) Prec@5 91.875 (84.921) Epoch: [83][4360/11272] Time 0.742 (0.775) Data 0.001 (0.002) Loss 1.6562 (1.6094) Prec@1 51.250 (56.545) Prec@5 84.375 (84.922) Epoch: [83][4370/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.5345 (1.6094) Prec@1 57.500 (56.545) Prec@5 83.750 (84.921) Epoch: [83][4380/11272] Time 0.707 (0.775) Data 0.003 (0.002) Loss 1.8754 (1.6094) Prec@1 48.125 (56.550) Prec@5 80.000 (84.922) Epoch: [83][4390/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.6156 (1.6093) Prec@1 56.875 (56.554) Prec@5 85.000 (84.924) Epoch: [83][4400/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.5694 (1.6094) Prec@1 58.750 (56.555) Prec@5 90.000 (84.922) Epoch: [83][4410/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.5549 (1.6097) Prec@1 55.625 (56.551) Prec@5 89.375 (84.920) Epoch: [83][4420/11272] Time 0.705 (0.775) Data 0.002 (0.002) Loss 1.5515 (1.6097) Prec@1 55.000 (56.550) Prec@5 85.000 (84.917) Epoch: [83][4430/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.4847 (1.6096) Prec@1 60.625 (56.554) Prec@5 88.125 (84.919) Epoch: [83][4440/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.4874 (1.6095) Prec@1 63.125 (56.557) Prec@5 85.000 (84.918) Epoch: [83][4450/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.4845 (1.6095) Prec@1 56.250 (56.555) Prec@5 88.750 (84.918) Epoch: [83][4460/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.5667 (1.6095) Prec@1 55.625 (56.556) Prec@5 87.500 (84.917) Epoch: [83][4470/11272] Time 0.731 (0.775) Data 0.002 (0.002) Loss 1.5934 (1.6096) Prec@1 55.000 (56.549) Prec@5 88.125 (84.919) Epoch: [83][4480/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.5746 (1.6096) Prec@1 55.000 (56.549) Prec@5 86.875 (84.918) Epoch: [83][4490/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5951 (1.6096) Prec@1 59.375 (56.550) Prec@5 81.250 (84.917) Epoch: [83][4500/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5181 (1.6097) Prec@1 57.500 (56.545) Prec@5 84.375 (84.918) Epoch: [83][4510/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.4810 (1.6097) Prec@1 62.500 (56.544) Prec@5 87.500 (84.918) Epoch: [83][4520/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.6514 (1.6097) Prec@1 55.000 (56.545) Prec@5 83.750 (84.918) Epoch: [83][4530/11272] Time 0.725 (0.775) Data 0.002 (0.002) Loss 1.7294 (1.6097) Prec@1 57.500 (56.546) Prec@5 83.750 (84.918) Epoch: [83][4540/11272] Time 0.747 (0.775) Data 0.001 (0.002) Loss 1.4837 (1.6096) Prec@1 59.375 (56.549) Prec@5 88.750 (84.920) Epoch: [83][4550/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.8521 (1.6096) Prec@1 49.375 (56.544) Prec@5 79.375 (84.917) Epoch: [83][4560/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.3966 (1.6094) Prec@1 64.375 (56.548) Prec@5 88.750 (84.920) Epoch: [83][4570/11272] Time 0.724 (0.775) Data 0.001 (0.002) Loss 1.6032 (1.6094) Prec@1 58.750 (56.550) Prec@5 86.875 (84.921) Epoch: [83][4580/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.6958 (1.6095) Prec@1 52.500 (56.548) Prec@5 83.125 (84.918) Epoch: [83][4590/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.3840 (1.6095) Prec@1 61.250 (56.548) Prec@5 88.750 (84.920) Epoch: [83][4600/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.9373 (1.6095) Prec@1 51.250 (56.551) Prec@5 79.375 (84.919) Epoch: [83][4610/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.6501 (1.6095) Prec@1 55.000 (56.551) Prec@5 85.625 (84.921) Epoch: [83][4620/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.6570 (1.6094) Prec@1 53.125 (56.556) Prec@5 83.125 (84.922) Epoch: [83][4630/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.5101 (1.6095) Prec@1 60.625 (56.556) Prec@5 85.000 (84.921) Epoch: [83][4640/11272] Time 0.712 (0.775) Data 0.003 (0.002) Loss 1.5250 (1.6093) Prec@1 55.000 (56.559) Prec@5 88.125 (84.922) Epoch: [83][4650/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.5747 (1.6092) Prec@1 54.375 (56.562) Prec@5 85.000 (84.924) Epoch: [83][4660/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6387 (1.6093) Prec@1 56.875 (56.562) Prec@5 81.250 (84.922) Epoch: [83][4670/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.4603 (1.6094) Prec@1 59.375 (56.559) Prec@5 85.000 (84.919) Epoch: [83][4680/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.5589 (1.6095) Prec@1 60.625 (56.559) Prec@5 83.750 (84.916) Epoch: [83][4690/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.6901 (1.6095) Prec@1 56.250 (56.558) Prec@5 82.500 (84.917) Epoch: [83][4700/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.4895 (1.6095) Prec@1 59.375 (56.558) Prec@5 89.375 (84.918) Epoch: [83][4710/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.5969 (1.6094) Prec@1 59.375 (56.557) Prec@5 85.625 (84.920) Epoch: [83][4720/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.8609 (1.6094) Prec@1 54.375 (56.559) Prec@5 78.125 (84.918) Epoch: [83][4730/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.6378 (1.6095) Prec@1 53.125 (56.556) Prec@5 85.625 (84.917) Epoch: [83][4740/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.6379 (1.6096) Prec@1 57.500 (56.552) Prec@5 83.125 (84.915) Epoch: [83][4750/11272] Time 0.817 (0.775) Data 0.001 (0.002) Loss 1.5406 (1.6096) Prec@1 52.500 (56.550) Prec@5 87.500 (84.914) Epoch: [83][4760/11272] Time 0.702 (0.775) Data 0.001 (0.002) Loss 1.6377 (1.6097) Prec@1 55.000 (56.549) Prec@5 83.125 (84.914) Epoch: [83][4770/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.6528 (1.6098) Prec@1 55.625 (56.550) Prec@5 83.125 (84.913) Epoch: [83][4780/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.3975 (1.6098) Prec@1 61.250 (56.550) Prec@5 88.750 (84.913) Epoch: [83][4790/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.6578 (1.6098) Prec@1 58.750 (56.552) Prec@5 83.750 (84.914) Epoch: [83][4800/11272] Time 0.696 (0.775) Data 0.001 (0.002) Loss 1.7367 (1.6098) Prec@1 55.000 (56.554) Prec@5 80.625 (84.915) Epoch: [83][4810/11272] Time 0.802 (0.775) Data 0.001 (0.002) Loss 1.4435 (1.6098) Prec@1 61.875 (56.554) Prec@5 88.125 (84.914) Epoch: [83][4820/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7633 (1.6098) Prec@1 55.000 (56.551) Prec@5 84.375 (84.914) Epoch: [83][4830/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.4250 (1.6098) Prec@1 63.750 (56.553) Prec@5 86.875 (84.916) Epoch: [83][4840/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.6378 (1.6100) Prec@1 53.125 (56.550) Prec@5 83.125 (84.913) Epoch: [83][4850/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.5684 (1.6100) Prec@1 57.500 (56.547) Prec@5 84.375 (84.913) Epoch: [83][4860/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.7450 (1.6100) Prec@1 58.125 (56.550) Prec@5 78.750 (84.913) Epoch: [83][4870/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.7845 (1.6100) Prec@1 51.250 (56.550) Prec@5 82.500 (84.914) Epoch: [83][4880/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.5850 (1.6100) Prec@1 53.750 (56.547) Prec@5 86.250 (84.913) Epoch: [83][4890/11272] Time 0.823 (0.775) Data 0.002 (0.002) Loss 1.7535 (1.6101) Prec@1 58.750 (56.549) Prec@5 79.375 (84.910) Epoch: [83][4900/11272] Time 0.855 (0.775) Data 0.001 (0.002) Loss 1.4911 (1.6102) Prec@1 59.375 (56.547) Prec@5 87.500 (84.908) Epoch: [83][4910/11272] Time 0.727 (0.775) Data 0.001 (0.002) Loss 1.2290 (1.6102) Prec@1 67.500 (56.550) Prec@5 89.375 (84.909) Epoch: [83][4920/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.6922 (1.6103) Prec@1 51.250 (56.545) Prec@5 84.375 (84.909) Epoch: [83][4930/11272] Time 0.821 (0.775) Data 0.002 (0.002) Loss 1.7030 (1.6103) Prec@1 54.375 (56.543) Prec@5 82.500 (84.907) Epoch: [83][4940/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6927 (1.6103) Prec@1 57.500 (56.542) Prec@5 83.750 (84.907) Epoch: [83][4950/11272] Time 0.727 (0.775) Data 0.002 (0.002) Loss 1.5436 (1.6105) Prec@1 55.625 (56.540) Prec@5 86.250 (84.904) Epoch: [83][4960/11272] Time 0.812 (0.775) Data 0.001 (0.002) Loss 1.6970 (1.6105) Prec@1 53.125 (56.539) Prec@5 81.875 (84.904) Epoch: [83][4970/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.6075 (1.6104) Prec@1 53.750 (56.537) Prec@5 84.375 (84.907) Epoch: [83][4980/11272] Time 0.737 (0.775) Data 0.001 (0.002) Loss 1.4708 (1.6104) Prec@1 59.375 (56.540) Prec@5 90.000 (84.909) Epoch: [83][4990/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7820 (1.6104) Prec@1 50.000 (56.538) Prec@5 81.250 (84.907) Epoch: [83][5000/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.7194 (1.6104) Prec@1 52.500 (56.540) Prec@5 82.500 (84.909) Epoch: [83][5010/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.4038 (1.6103) Prec@1 63.750 (56.542) Prec@5 88.125 (84.909) Epoch: [83][5020/11272] Time 0.707 (0.775) Data 0.002 (0.002) Loss 1.6318 (1.6104) Prec@1 56.875 (56.545) Prec@5 85.000 (84.907) Epoch: [83][5030/11272] Time 0.734 (0.775) Data 0.001 (0.002) Loss 1.4989 (1.6105) Prec@1 61.250 (56.544) Prec@5 85.625 (84.906) Epoch: [83][5040/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.6103 (1.6105) Prec@1 56.875 (56.544) Prec@5 83.750 (84.906) Epoch: [83][5050/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.7040 (1.6107) Prec@1 55.625 (56.542) Prec@5 81.875 (84.904) Epoch: [83][5060/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.8686 (1.6109) Prec@1 49.375 (56.539) Prec@5 82.500 (84.900) Epoch: [83][5070/11272] Time 0.866 (0.775) Data 0.001 (0.002) Loss 1.6293 (1.6109) Prec@1 55.000 (56.539) Prec@5 83.750 (84.899) Epoch: [83][5080/11272] Time 0.785 (0.775) Data 0.001 (0.002) Loss 1.5748 (1.6110) Prec@1 57.500 (56.538) Prec@5 83.750 (84.896) Epoch: [83][5090/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.6205 (1.6110) Prec@1 56.875 (56.539) Prec@5 86.250 (84.895) Epoch: [83][5100/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.6972 (1.6110) Prec@1 50.625 (56.536) Prec@5 82.500 (84.895) Epoch: [83][5110/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.6693 (1.6111) Prec@1 60.625 (56.533) Prec@5 83.750 (84.895) Epoch: [83][5120/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.7458 (1.6111) Prec@1 53.125 (56.532) Prec@5 79.375 (84.893) Epoch: [83][5130/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5404 (1.6110) Prec@1 58.750 (56.535) Prec@5 85.000 (84.895) Epoch: [83][5140/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6473 (1.6109) Prec@1 56.875 (56.534) Prec@5 84.375 (84.896) Epoch: [83][5150/11272] Time 0.779 (0.775) Data 0.001 (0.002) Loss 1.5703 (1.6109) Prec@1 55.625 (56.534) Prec@5 87.500 (84.897) Epoch: [83][5160/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.4658 (1.6110) Prec@1 63.750 (56.535) Prec@5 84.375 (84.895) Epoch: [83][5170/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.7718 (1.6112) Prec@1 54.375 (56.532) Prec@5 80.625 (84.892) Epoch: [83][5180/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.7030 (1.6112) Prec@1 58.125 (56.534) Prec@5 83.125 (84.893) Epoch: [83][5190/11272] Time 0.868 (0.775) Data 0.001 (0.002) Loss 1.5045 (1.6112) Prec@1 57.500 (56.535) Prec@5 88.750 (84.893) Epoch: [83][5200/11272] Time 0.710 (0.775) Data 0.002 (0.002) Loss 1.6498 (1.6113) Prec@1 50.625 (56.531) Prec@5 88.750 (84.890) Epoch: [83][5210/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.5207 (1.6112) Prec@1 58.125 (56.535) Prec@5 86.875 (84.891) Epoch: [83][5220/11272] Time 0.819 (0.775) Data 0.002 (0.002) Loss 1.6746 (1.6113) Prec@1 58.750 (56.535) Prec@5 81.250 (84.891) Epoch: [83][5230/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.6056 (1.6115) Prec@1 58.125 (56.535) Prec@5 85.000 (84.888) Epoch: [83][5240/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.7001 (1.6115) Prec@1 57.500 (56.534) Prec@5 83.750 (84.887) Epoch: [83][5250/11272] Time 0.721 (0.775) Data 0.002 (0.002) Loss 1.7913 (1.6116) Prec@1 55.625 (56.535) Prec@5 83.125 (84.886) Epoch: [83][5260/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7161 (1.6115) Prec@1 49.375 (56.537) Prec@5 84.375 (84.887) Epoch: [83][5270/11272] Time 0.803 (0.775) Data 0.001 (0.002) Loss 1.5468 (1.6116) Prec@1 55.625 (56.535) Prec@5 86.250 (84.886) Epoch: [83][5280/11272] Time 0.749 (0.775) Data 0.002 (0.002) Loss 1.6220 (1.6115) Prec@1 55.625 (56.538) Prec@5 85.000 (84.889) Epoch: [83][5290/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6265 (1.6115) Prec@1 52.500 (56.536) Prec@5 81.875 (84.888) Epoch: [83][5300/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.5948 (1.6114) Prec@1 55.625 (56.538) Prec@5 87.500 (84.891) Epoch: [83][5310/11272] Time 0.735 (0.775) Data 0.002 (0.002) Loss 1.7359 (1.6116) Prec@1 52.500 (56.533) Prec@5 85.000 (84.889) Epoch: [83][5320/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5886 (1.6116) Prec@1 51.250 (56.529) Prec@5 85.625 (84.889) Epoch: [83][5330/11272] Time 0.852 (0.775) Data 0.002 (0.002) Loss 1.7065 (1.6116) Prec@1 51.875 (56.527) Prec@5 83.750 (84.892) Epoch: [83][5340/11272] Time 0.820 (0.775) Data 0.001 (0.002) Loss 1.8281 (1.6118) Prec@1 52.500 (56.522) Prec@5 78.750 (84.889) Epoch: [83][5350/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.5251 (1.6118) Prec@1 59.375 (56.522) Prec@5 81.250 (84.888) Epoch: [83][5360/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.6665 (1.6117) Prec@1 53.750 (56.523) Prec@5 85.625 (84.890) Epoch: [83][5370/11272] Time 0.881 (0.775) Data 0.002 (0.002) Loss 1.6632 (1.6117) Prec@1 56.250 (56.523) Prec@5 86.250 (84.890) Epoch: [83][5380/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.5638 (1.6117) Prec@1 55.000 (56.524) Prec@5 86.250 (84.891) Epoch: [83][5390/11272] Time 0.732 (0.775) Data 0.002 (0.002) Loss 1.7108 (1.6117) Prec@1 51.250 (56.522) Prec@5 84.375 (84.891) Epoch: [83][5400/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.4424 (1.6115) Prec@1 61.875 (56.525) Prec@5 86.250 (84.895) Epoch: [83][5410/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.5500 (1.6116) Prec@1 53.125 (56.523) Prec@5 85.625 (84.894) Epoch: [83][5420/11272] Time 0.799 (0.775) Data 0.001 (0.002) Loss 1.7141 (1.6116) Prec@1 50.000 (56.520) Prec@5 83.125 (84.895) Epoch: [83][5430/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.4296 (1.6116) Prec@1 60.625 (56.522) Prec@5 88.750 (84.895) Epoch: [83][5440/11272] Time 0.907 (0.775) Data 0.002 (0.002) Loss 1.3460 (1.6114) Prec@1 62.500 (56.527) Prec@5 88.125 (84.895) Epoch: [83][5450/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.4912 (1.6113) Prec@1 59.375 (56.529) Prec@5 88.750 (84.896) Epoch: [83][5460/11272] Time 0.738 (0.775) Data 0.001 (0.002) Loss 1.6754 (1.6115) Prec@1 52.500 (56.524) Prec@5 85.625 (84.893) Epoch: [83][5470/11272] Time 0.694 (0.775) Data 0.001 (0.002) Loss 1.7240 (1.6115) Prec@1 55.625 (56.526) Prec@5 85.000 (84.895) Epoch: [83][5480/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.2911 (1.6116) Prec@1 61.875 (56.520) Prec@5 91.250 (84.895) Epoch: [83][5490/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.5675 (1.6116) Prec@1 60.625 (56.519) Prec@5 88.125 (84.894) Epoch: [83][5500/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.6852 (1.6116) Prec@1 53.125 (56.521) Prec@5 84.375 (84.894) Epoch: [83][5510/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.5609 (1.6115) Prec@1 58.750 (56.526) Prec@5 88.750 (84.897) Epoch: [83][5520/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 2.0622 (1.6117) Prec@1 51.250 (56.523) Prec@5 77.500 (84.890) Epoch: [83][5530/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.6087 (1.6117) Prec@1 58.750 (56.523) Prec@5 83.750 (84.890) Epoch: [83][5540/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.4883 (1.6117) Prec@1 58.125 (56.525) Prec@5 88.125 (84.889) Epoch: [83][5550/11272] Time 0.744 (0.775) Data 0.002 (0.002) Loss 1.7275 (1.6116) Prec@1 53.125 (56.528) Prec@5 84.375 (84.892) Epoch: [83][5560/11272] Time 0.836 (0.775) Data 0.002 (0.002) Loss 1.6624 (1.6115) Prec@1 53.750 (56.529) Prec@5 83.750 (84.893) Epoch: [83][5570/11272] Time 0.744 (0.775) Data 0.003 (0.002) Loss 1.6964 (1.6116) Prec@1 51.250 (56.526) Prec@5 84.375 (84.892) Epoch: [83][5580/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4738 (1.6117) Prec@1 53.750 (56.524) Prec@5 86.875 (84.891) Epoch: [83][5590/11272] Time 0.862 (0.775) Data 0.002 (0.002) Loss 1.6310 (1.6117) Prec@1 56.250 (56.523) Prec@5 87.500 (84.892) Epoch: [83][5600/11272] Time 0.815 (0.775) Data 0.002 (0.002) Loss 1.5665 (1.6117) Prec@1 59.375 (56.525) Prec@5 82.500 (84.891) Epoch: [83][5610/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.5635 (1.6117) Prec@1 53.125 (56.524) Prec@5 85.000 (84.891) Epoch: [83][5620/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.4226 (1.6116) Prec@1 58.750 (56.526) Prec@5 85.625 (84.892) Epoch: [83][5630/11272] Time 0.788 (0.775) Data 0.001 (0.002) Loss 1.4965 (1.6116) Prec@1 60.000 (56.527) Prec@5 85.625 (84.891) Epoch: [83][5640/11272] Time 0.783 (0.775) Data 0.001 (0.002) Loss 1.6394 (1.6116) Prec@1 53.750 (56.530) Prec@5 84.375 (84.894) Epoch: [83][5650/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.7850 (1.6116) Prec@1 55.625 (56.525) Prec@5 83.125 (84.893) Epoch: [83][5660/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.5564 (1.6117) Prec@1 56.875 (56.524) Prec@5 88.750 (84.892) Epoch: [83][5670/11272] Time 0.786 (0.775) Data 0.001 (0.002) Loss 1.4355 (1.6117) Prec@1 61.875 (56.524) Prec@5 88.125 (84.892) Epoch: [83][5680/11272] Time 0.792 (0.775) Data 0.001 (0.002) Loss 1.5936 (1.6117) Prec@1 59.375 (56.523) Prec@5 83.750 (84.891) Epoch: [83][5690/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.6082 (1.6117) Prec@1 58.125 (56.524) Prec@5 87.500 (84.891) Epoch: [83][5700/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.7743 (1.6118) Prec@1 50.000 (56.520) Prec@5 81.250 (84.889) Epoch: [83][5710/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.5648 (1.6119) Prec@1 54.375 (56.518) Prec@5 83.125 (84.887) Epoch: [83][5720/11272] Time 0.725 (0.775) Data 0.001 (0.002) Loss 1.6796 (1.6119) Prec@1 53.750 (56.519) Prec@5 85.000 (84.888) Epoch: [83][5730/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.7312 (1.6119) Prec@1 55.000 (56.519) Prec@5 84.375 (84.889) Epoch: [83][5740/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5509 (1.6118) Prec@1 57.500 (56.522) Prec@5 87.500 (84.888) Epoch: [83][5750/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.6647 (1.6118) Prec@1 53.750 (56.522) Prec@5 85.625 (84.889) Epoch: [83][5760/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.7389 (1.6119) Prec@1 57.500 (56.520) Prec@5 82.500 (84.887) Epoch: [83][5770/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.3839 (1.6120) Prec@1 63.125 (56.522) Prec@5 89.375 (84.887) Epoch: [83][5780/11272] Time 0.826 (0.775) Data 0.001 (0.002) Loss 1.9634 (1.6121) Prec@1 46.875 (56.520) Prec@5 78.750 (84.885) Epoch: [83][5790/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.8157 (1.6120) Prec@1 49.375 (56.518) Prec@5 80.625 (84.885) Epoch: [83][5800/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.8705 (1.6121) Prec@1 51.875 (56.518) Prec@5 79.375 (84.885) Epoch: [83][5810/11272] Time 0.706 (0.775) Data 0.001 (0.002) Loss 1.4580 (1.6120) Prec@1 61.875 (56.520) Prec@5 86.875 (84.886) Epoch: [83][5820/11272] Time 0.806 (0.775) Data 0.001 (0.002) Loss 1.5644 (1.6121) Prec@1 61.875 (56.520) Prec@5 86.875 (84.885) Epoch: [83][5830/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.7366 (1.6122) Prec@1 54.375 (56.519) Prec@5 82.500 (84.884) Epoch: [83][5840/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5093 (1.6123) Prec@1 62.500 (56.518) Prec@5 86.250 (84.881) Epoch: [83][5850/11272] Time 0.899 (0.775) Data 0.002 (0.002) Loss 1.7010 (1.6123) Prec@1 51.250 (56.517) Prec@5 83.125 (84.881) Epoch: [83][5860/11272] Time 0.852 (0.775) Data 0.002 (0.002) Loss 1.5601 (1.6122) Prec@1 56.875 (56.518) Prec@5 82.500 (84.881) Epoch: [83][5870/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.7294 (1.6122) Prec@1 56.875 (56.518) Prec@5 78.750 (84.880) Epoch: [83][5880/11272] Time 0.691 (0.775) Data 0.001 (0.002) Loss 1.6145 (1.6123) Prec@1 61.250 (56.518) Prec@5 81.875 (84.878) Epoch: [83][5890/11272] Time 0.815 (0.775) Data 0.002 (0.002) Loss 1.4431 (1.6122) Prec@1 59.375 (56.519) Prec@5 88.750 (84.880) Epoch: [83][5900/11272] Time 0.841 (0.775) Data 0.002 (0.002) Loss 1.6120 (1.6121) Prec@1 60.625 (56.521) Prec@5 81.875 (84.882) Epoch: [83][5910/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8242 (1.6123) Prec@1 52.500 (56.520) Prec@5 81.250 (84.879) Epoch: [83][5920/11272] Time 0.739 (0.775) Data 0.002 (0.002) Loss 1.7239 (1.6124) Prec@1 57.500 (56.518) Prec@5 83.125 (84.879) Epoch: [83][5930/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.5994 (1.6124) Prec@1 57.500 (56.517) Prec@5 86.250 (84.878) Epoch: [83][5940/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.5761 (1.6124) Prec@1 56.250 (56.518) Prec@5 81.875 (84.877) Epoch: [83][5950/11272] Time 0.730 (0.775) Data 0.002 (0.002) Loss 1.7762 (1.6124) Prec@1 51.250 (56.517) Prec@5 80.625 (84.875) Epoch: [83][5960/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.6345 (1.6124) Prec@1 58.125 (56.516) Prec@5 82.500 (84.875) Epoch: [83][5970/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.4840 (1.6123) Prec@1 60.000 (56.518) Prec@5 87.500 (84.877) Epoch: [83][5980/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.5017 (1.6124) Prec@1 63.125 (56.518) Prec@5 86.875 (84.876) Epoch: [83][5990/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.7030 (1.6124) Prec@1 51.875 (56.515) Prec@5 83.750 (84.876) Epoch: [83][6000/11272] Time 0.847 (0.775) Data 0.002 (0.002) Loss 1.7691 (1.6125) Prec@1 55.000 (56.513) Prec@5 81.250 (84.873) Epoch: [83][6010/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.7752 (1.6124) Prec@1 53.125 (56.512) Prec@5 78.125 (84.873) Epoch: [83][6020/11272] Time 0.717 (0.775) Data 0.002 (0.002) Loss 1.6229 (1.6124) Prec@1 60.625 (56.515) Prec@5 83.750 (84.874) Epoch: [83][6030/11272] Time 0.714 (0.775) Data 0.002 (0.002) Loss 1.7783 (1.6125) Prec@1 53.125 (56.513) Prec@5 81.250 (84.873) Epoch: [83][6040/11272] Time 0.835 (0.775) Data 0.002 (0.002) Loss 1.6150 (1.6125) Prec@1 63.750 (56.515) Prec@5 83.750 (84.874) Epoch: [83][6050/11272] Time 0.832 (0.775) Data 0.001 (0.002) Loss 1.8483 (1.6125) Prec@1 48.750 (56.514) Prec@5 81.250 (84.876) Epoch: [83][6060/11272] Time 0.725 (0.775) Data 0.002 (0.002) Loss 1.6265 (1.6126) Prec@1 57.500 (56.514) Prec@5 85.625 (84.874) Epoch: [83][6070/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.4324 (1.6126) Prec@1 58.125 (56.513) Prec@5 87.500 (84.873) Epoch: [83][6080/11272] Time 0.822 (0.775) Data 0.002 (0.002) Loss 1.7275 (1.6127) Prec@1 55.625 (56.510) Prec@5 83.750 (84.871) Epoch: [83][6090/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.7695 (1.6128) Prec@1 53.125 (56.508) Prec@5 80.625 (84.869) Epoch: [83][6100/11272] Time 0.723 (0.775) Data 0.002 (0.002) Loss 1.5617 (1.6128) Prec@1 60.000 (56.506) Prec@5 83.750 (84.867) Epoch: [83][6110/11272] Time 0.864 (0.775) Data 0.002 (0.002) Loss 1.5018 (1.6128) Prec@1 59.375 (56.507) Prec@5 87.500 (84.868) Epoch: [83][6120/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.8521 (1.6128) Prec@1 49.375 (56.507) Prec@5 80.625 (84.867) Epoch: [83][6130/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.5109 (1.6129) Prec@1 61.250 (56.505) Prec@5 83.125 (84.866) Epoch: [83][6140/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4585 (1.6129) Prec@1 61.250 (56.506) Prec@5 88.125 (84.866) Epoch: [83][6150/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.6269 (1.6128) Prec@1 61.875 (56.508) Prec@5 84.375 (84.866) Epoch: [83][6160/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5187 (1.6128) Prec@1 58.125 (56.510) Prec@5 86.250 (84.867) Epoch: [83][6170/11272] Time 0.760 (0.775) Data 0.001 (0.002) Loss 1.7049 (1.6127) Prec@1 51.875 (56.510) Prec@5 86.250 (84.870) Epoch: [83][6180/11272] Time 0.728 (0.775) Data 0.002 (0.002) Loss 1.6743 (1.6128) Prec@1 55.000 (56.506) Prec@5 82.500 (84.867) Epoch: [83][6190/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.8354 (1.6128) Prec@1 49.375 (56.504) Prec@5 81.250 (84.866) Epoch: [83][6200/11272] Time 0.811 (0.775) Data 0.002 (0.002) Loss 1.7188 (1.6130) Prec@1 48.125 (56.496) Prec@5 80.625 (84.863) Epoch: [83][6210/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.7103 (1.6130) Prec@1 52.500 (56.496) Prec@5 83.125 (84.864) Epoch: [83][6220/11272] Time 0.704 (0.775) Data 0.002 (0.002) Loss 1.7509 (1.6130) Prec@1 55.625 (56.495) Prec@5 81.875 (84.863) Epoch: [83][6230/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.4638 (1.6130) Prec@1 58.750 (56.497) Prec@5 86.875 (84.865) Epoch: [83][6240/11272] Time 0.714 (0.775) Data 0.003 (0.002) Loss 1.6571 (1.6130) Prec@1 56.250 (56.498) Prec@5 86.875 (84.865) Epoch: [83][6250/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.4897 (1.6130) Prec@1 53.125 (56.498) Prec@5 88.125 (84.865) Epoch: [83][6260/11272] Time 0.793 (0.775) Data 0.001 (0.002) Loss 1.8408 (1.6130) Prec@1 48.750 (56.498) Prec@5 80.625 (84.865) Epoch: [83][6270/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.5892 (1.6130) Prec@1 55.000 (56.498) Prec@5 86.250 (84.868) Epoch: [83][6280/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.6591 (1.6129) Prec@1 55.625 (56.500) Prec@5 82.500 (84.869) Epoch: [83][6290/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.9153 (1.6130) Prec@1 49.375 (56.499) Prec@5 80.000 (84.870) Epoch: [83][6300/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.7506 (1.6129) Prec@1 50.625 (56.499) Prec@5 81.250 (84.870) Epoch: [83][6310/11272] Time 0.834 (0.775) Data 0.001 (0.002) Loss 1.8516 (1.6131) Prec@1 53.750 (56.496) Prec@5 80.625 (84.867) Epoch: [83][6320/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.4235 (1.6132) Prec@1 61.250 (56.495) Prec@5 87.500 (84.865) Epoch: [83][6330/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.7234 (1.6132) Prec@1 53.750 (56.495) Prec@5 81.250 (84.866) Epoch: [83][6340/11272] Time 0.809 (0.775) Data 0.002 (0.002) Loss 1.9600 (1.6132) Prec@1 49.375 (56.493) Prec@5 78.125 (84.866) Epoch: [83][6350/11272] Time 0.789 (0.775) Data 0.001 (0.002) Loss 1.7243 (1.6133) Prec@1 51.875 (56.493) Prec@5 83.750 (84.867) Epoch: [83][6360/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.5950 (1.6133) Prec@1 59.375 (56.494) Prec@5 87.500 (84.867) Epoch: [83][6370/11272] Time 0.855 (0.775) Data 0.001 (0.002) Loss 1.6432 (1.6134) Prec@1 51.250 (56.493) Prec@5 83.750 (84.865) Epoch: [83][6380/11272] Time 0.848 (0.775) Data 0.002 (0.002) Loss 1.7154 (1.6133) Prec@1 58.750 (56.494) Prec@5 86.250 (84.866) Epoch: [83][6390/11272] Time 0.756 (0.775) Data 0.002 (0.002) Loss 1.6322 (1.6134) Prec@1 54.375 (56.490) Prec@5 83.125 (84.866) Epoch: [83][6400/11272] Time 0.751 (0.775) Data 0.001 (0.002) Loss 1.6283 (1.6133) Prec@1 58.750 (56.491) Prec@5 85.625 (84.866) Epoch: [83][6410/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.5859 (1.6133) Prec@1 60.000 (56.493) Prec@5 86.875 (84.866) Epoch: [83][6420/11272] Time 0.800 (0.775) Data 0.001 (0.002) Loss 1.4296 (1.6133) Prec@1 65.000 (56.494) Prec@5 86.875 (84.867) Epoch: [83][6430/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.3696 (1.6133) Prec@1 65.000 (56.494) Prec@5 89.375 (84.867) Epoch: [83][6440/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.8473 (1.6134) Prec@1 50.000 (56.491) Prec@5 78.750 (84.865) Epoch: [83][6450/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.5678 (1.6133) Prec@1 53.125 (56.491) Prec@5 88.125 (84.865) Epoch: [83][6460/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.6466 (1.6135) Prec@1 54.375 (56.488) Prec@5 82.500 (84.862) Epoch: [83][6470/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.3814 (1.6134) Prec@1 63.750 (56.489) Prec@5 88.750 (84.862) Epoch: [83][6480/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.9310 (1.6136) Prec@1 46.875 (56.486) Prec@5 84.375 (84.861) Epoch: [83][6490/11272] Time 0.810 (0.775) Data 0.001 (0.002) Loss 1.7756 (1.6136) Prec@1 56.875 (56.486) Prec@5 84.375 (84.862) Epoch: [83][6500/11272] Time 0.705 (0.775) Data 0.003 (0.002) Loss 1.4739 (1.6135) Prec@1 56.250 (56.486) Prec@5 88.125 (84.862) Epoch: [83][6510/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.8261 (1.6134) Prec@1 54.375 (56.491) Prec@5 79.375 (84.864) Epoch: [83][6520/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.8872 (1.6134) Prec@1 55.000 (56.489) Prec@5 78.125 (84.862) Epoch: [83][6530/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.6364 (1.6134) Prec@1 60.000 (56.492) Prec@5 85.625 (84.862) Epoch: [83][6540/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.7230 (1.6135) Prec@1 53.125 (56.490) Prec@5 83.125 (84.861) Epoch: [83][6550/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5230 (1.6134) Prec@1 56.250 (56.491) Prec@5 85.625 (84.863) Epoch: [83][6560/11272] Time 0.811 (0.775) Data 0.001 (0.002) Loss 1.5603 (1.6135) Prec@1 58.750 (56.489) Prec@5 86.250 (84.863) Epoch: [83][6570/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.8988 (1.6136) Prec@1 48.750 (56.487) Prec@5 80.625 (84.862) Epoch: [83][6580/11272] Time 0.736 (0.775) Data 0.001 (0.002) Loss 1.7152 (1.6136) Prec@1 56.875 (56.485) Prec@5 83.125 (84.861) Epoch: [83][6590/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.5016 (1.6136) Prec@1 60.000 (56.487) Prec@5 88.125 (84.862) Epoch: [83][6600/11272] Time 0.827 (0.775) Data 0.002 (0.002) Loss 1.6175 (1.6137) Prec@1 54.375 (56.488) Prec@5 80.000 (84.860) Epoch: [83][6610/11272] Time 0.816 (0.775) Data 0.001 (0.002) Loss 1.5766 (1.6137) Prec@1 51.250 (56.486) Prec@5 83.125 (84.860) Epoch: [83][6620/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5091 (1.6136) Prec@1 61.875 (56.488) Prec@5 85.625 (84.862) Epoch: [83][6630/11272] Time 0.796 (0.775) Data 0.001 (0.002) Loss 1.4675 (1.6136) Prec@1 55.625 (56.489) Prec@5 88.750 (84.864) Epoch: [83][6640/11272] Time 0.835 (0.775) Data 0.001 (0.002) Loss 1.7884 (1.6135) Prec@1 56.250 (56.491) Prec@5 82.500 (84.865) Epoch: [83][6650/11272] Time 0.722 (0.775) Data 0.001 (0.002) Loss 1.5508 (1.6136) Prec@1 58.750 (56.492) Prec@5 86.875 (84.865) Epoch: [83][6660/11272] Time 0.703 (0.775) Data 0.002 (0.002) Loss 1.5187 (1.6136) Prec@1 58.125 (56.490) Prec@5 86.250 (84.866) Epoch: [83][6670/11272] Time 0.804 (0.775) Data 0.001 (0.002) Loss 1.6143 (1.6136) Prec@1 52.500 (56.489) Prec@5 86.250 (84.865) Epoch: [83][6680/11272] Time 0.836 (0.775) Data 0.001 (0.002) Loss 1.4795 (1.6137) Prec@1 58.125 (56.488) Prec@5 88.125 (84.865) Epoch: [83][6690/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.5553 (1.6136) Prec@1 59.375 (56.490) Prec@5 87.500 (84.866) Epoch: [83][6700/11272] Time 0.734 (0.775) Data 0.002 (0.002) Loss 1.7759 (1.6137) Prec@1 55.000 (56.488) Prec@5 82.500 (84.867) Epoch: [83][6710/11272] Time 0.825 (0.775) Data 0.002 (0.002) Loss 1.6011 (1.6136) Prec@1 58.125 (56.488) Prec@5 81.875 (84.866) Epoch: [83][6720/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.6062 (1.6137) Prec@1 56.250 (56.487) Prec@5 85.625 (84.868) Epoch: [83][6730/11272] Time 0.755 (0.775) Data 0.002 (0.002) Loss 1.5410 (1.6136) Prec@1 56.875 (56.488) Prec@5 88.750 (84.869) Epoch: [83][6740/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6550 (1.6137) Prec@1 55.625 (56.488) Prec@5 81.875 (84.868) Epoch: [83][6750/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.7095 (1.6137) Prec@1 55.000 (56.488) Prec@5 81.875 (84.866) Epoch: [83][6760/11272] Time 0.781 (0.775) Data 0.001 (0.002) Loss 1.4412 (1.6138) Prec@1 60.000 (56.490) Prec@5 88.125 (84.863) Epoch: [83][6770/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.4039 (1.6137) Prec@1 61.250 (56.491) Prec@5 89.375 (84.865) Epoch: [83][6780/11272] Time 0.827 (0.775) Data 0.001 (0.002) Loss 1.5113 (1.6138) Prec@1 58.750 (56.489) Prec@5 85.000 (84.864) Epoch: [83][6790/11272] Time 0.808 (0.775) Data 0.002 (0.002) Loss 1.6437 (1.6139) Prec@1 56.875 (56.488) Prec@5 83.750 (84.862) Epoch: [83][6800/11272] Time 0.709 (0.775) Data 0.001 (0.002) Loss 1.6069 (1.6138) Prec@1 53.125 (56.487) Prec@5 84.375 (84.863) Epoch: [83][6810/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.6797 (1.6138) Prec@1 54.375 (56.486) Prec@5 84.375 (84.863) Epoch: [83][6820/11272] Time 0.830 (0.775) Data 0.002 (0.002) Loss 1.7117 (1.6139) Prec@1 55.625 (56.483) Prec@5 82.500 (84.861) Epoch: [83][6830/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.7598 (1.6140) Prec@1 50.625 (56.482) Prec@5 83.125 (84.859) Epoch: [83][6840/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.5444 (1.6139) Prec@1 64.375 (56.486) Prec@5 86.875 (84.860) Epoch: [83][6850/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.6196 (1.6139) Prec@1 55.000 (56.484) Prec@5 85.625 (84.858) Epoch: [83][6860/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.8321 (1.6140) Prec@1 52.500 (56.482) Prec@5 82.500 (84.858) Epoch: [83][6870/11272] Time 0.788 (0.775) Data 0.001 (0.002) Loss 1.7300 (1.6140) Prec@1 53.750 (56.482) Prec@5 83.750 (84.860) Epoch: [83][6880/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.7742 (1.6141) Prec@1 52.500 (56.479) Prec@5 84.375 (84.860) Epoch: [83][6890/11272] Time 0.872 (0.775) Data 0.001 (0.002) Loss 1.4390 (1.6141) Prec@1 61.250 (56.481) Prec@5 85.000 (84.858) Epoch: [83][6900/11272] Time 0.824 (0.775) Data 0.001 (0.002) Loss 1.5550 (1.6141) Prec@1 56.875 (56.480) Prec@5 81.875 (84.857) Epoch: [83][6910/11272] Time 0.726 (0.775) Data 0.001 (0.002) Loss 1.6497 (1.6141) Prec@1 50.625 (56.481) Prec@5 82.500 (84.857) Epoch: [83][6920/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.3471 (1.6141) Prec@1 61.250 (56.479) Prec@5 90.625 (84.856) Epoch: [83][6930/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.5228 (1.6140) Prec@1 58.750 (56.480) Prec@5 87.500 (84.857) Epoch: [83][6940/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.5522 (1.6141) Prec@1 58.750 (56.478) Prec@5 86.250 (84.857) Epoch: [83][6950/11272] Time 0.715 (0.775) Data 0.002 (0.002) Loss 1.6629 (1.6141) Prec@1 57.500 (56.479) Prec@5 83.125 (84.856) Epoch: [83][6960/11272] Time 0.733 (0.775) Data 0.002 (0.002) Loss 1.8195 (1.6142) Prec@1 53.750 (56.478) Prec@5 83.750 (84.855) Epoch: [83][6970/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.5727 (1.6143) Prec@1 60.000 (56.477) Prec@5 85.625 (84.854) Epoch: [83][6980/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.5666 (1.6143) Prec@1 58.125 (56.475) Prec@5 86.250 (84.855) Epoch: [83][6990/11272] Time 0.735 (0.775) Data 0.001 (0.002) Loss 1.7148 (1.6143) Prec@1 53.125 (56.475) Prec@5 83.125 (84.854) Epoch: [83][7000/11272] Time 0.708 (0.775) Data 0.001 (0.002) Loss 1.6045 (1.6143) Prec@1 56.250 (56.475) Prec@5 86.250 (84.853) Epoch: [83][7010/11272] Time 0.803 (0.775) Data 0.002 (0.002) Loss 1.8144 (1.6144) Prec@1 49.375 (56.473) Prec@5 82.500 (84.853) Epoch: [83][7020/11272] Time 0.818 (0.775) Data 0.001 (0.002) Loss 1.5829 (1.6143) Prec@1 57.500 (56.475) Prec@5 83.750 (84.854) Epoch: [83][7030/11272] Time 0.717 (0.775) Data 0.001 (0.002) Loss 1.6266 (1.6143) Prec@1 53.750 (56.473) Prec@5 85.625 (84.855) Epoch: [83][7040/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.6814 (1.6144) Prec@1 55.625 (56.473) Prec@5 81.250 (84.853) Epoch: [83][7050/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.4640 (1.6143) Prec@1 57.500 (56.476) Prec@5 86.250 (84.854) Epoch: [83][7060/11272] Time 0.712 (0.775) Data 0.002 (0.002) Loss 1.5874 (1.6143) Prec@1 55.000 (56.476) Prec@5 86.250 (84.856) Epoch: [83][7070/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.5890 (1.6142) Prec@1 57.500 (56.476) Prec@5 84.375 (84.856) Epoch: [83][7080/11272] Time 0.846 (0.775) Data 0.002 (0.002) Loss 1.5313 (1.6142) Prec@1 56.250 (56.475) Prec@5 86.250 (84.857) Epoch: [83][7090/11272] Time 0.823 (0.775) Data 0.001 (0.002) Loss 1.8584 (1.6143) Prec@1 50.000 (56.472) Prec@5 80.625 (84.856) Epoch: [83][7100/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.6380 (1.6144) Prec@1 58.750 (56.472) Prec@5 84.375 (84.854) Epoch: [83][7110/11272] Time 0.711 (0.775) Data 0.002 (0.002) Loss 1.7657 (1.6143) Prec@1 54.375 (56.473) Prec@5 83.125 (84.855) Epoch: [83][7120/11272] Time 0.838 (0.775) Data 0.002 (0.002) Loss 1.5482 (1.6144) Prec@1 58.750 (56.473) Prec@5 83.750 (84.853) Epoch: [83][7130/11272] Time 0.813 (0.775) Data 0.001 (0.002) Loss 1.6064 (1.6144) Prec@1 59.375 (56.472) Prec@5 83.750 (84.852) Epoch: [83][7140/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.8669 (1.6144) Prec@1 53.125 (56.471) Prec@5 78.750 (84.853) Epoch: [83][7150/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.5961 (1.6144) Prec@1 55.000 (56.470) Prec@5 83.125 (84.853) Epoch: [83][7160/11272] Time 0.850 (0.775) Data 0.002 (0.002) Loss 1.4189 (1.6144) Prec@1 61.250 (56.471) Prec@5 90.625 (84.854) Epoch: [83][7170/11272] Time 0.724 (0.775) Data 0.004 (0.002) Loss 1.5027 (1.6144) Prec@1 57.500 (56.470) Prec@5 89.375 (84.855) Epoch: [83][7180/11272] Time 0.733 (0.775) Data 0.001 (0.002) Loss 1.8706 (1.6145) Prec@1 55.000 (56.468) Prec@5 79.375 (84.854) Epoch: [83][7190/11272] Time 0.844 (0.775) Data 0.001 (0.002) Loss 1.6256 (1.6145) Prec@1 55.625 (56.466) Prec@5 83.750 (84.853) Epoch: [83][7200/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.6963 (1.6146) Prec@1 56.875 (56.465) Prec@5 85.625 (84.851) Epoch: [83][7210/11272] Time 0.741 (0.775) Data 0.001 (0.002) Loss 1.5711 (1.6147) Prec@1 58.125 (56.464) Prec@5 83.750 (84.848) Epoch: [83][7220/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.4688 (1.6146) Prec@1 62.500 (56.466) Prec@5 87.500 (84.849) Epoch: [83][7230/11272] Time 0.852 (0.775) Data 0.002 (0.002) Loss 1.5729 (1.6147) Prec@1 60.625 (56.466) Prec@5 86.875 (84.850) Epoch: [83][7240/11272] Time 0.837 (0.775) Data 0.001 (0.002) Loss 1.5638 (1.6146) Prec@1 59.375 (56.468) Prec@5 85.000 (84.848) Epoch: [83][7250/11272] Time 0.737 (0.775) Data 0.002 (0.002) Loss 1.5342 (1.6146) Prec@1 57.500 (56.470) Prec@5 85.625 (84.850) Epoch: [83][7260/11272] Time 0.718 (0.775) Data 0.001 (0.002) Loss 1.5834 (1.6146) Prec@1 58.750 (56.468) Prec@5 83.750 (84.849) Epoch: [83][7270/11272] Time 0.819 (0.775) Data 0.001 (0.002) Loss 1.8122 (1.6147) Prec@1 55.625 (56.466) Prec@5 80.000 (84.847) Epoch: [83][7280/11272] Time 0.822 (0.775) Data 0.001 (0.002) Loss 1.5075 (1.6148) Prec@1 63.750 (56.465) Prec@5 84.375 (84.846) Epoch: [83][7290/11272] Time 0.734 (0.775) Data 0.002 (0.002) Loss 1.8198 (1.6149) Prec@1 58.125 (56.462) Prec@5 81.875 (84.846) Epoch: [83][7300/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.7125 (1.6149) Prec@1 51.875 (56.461) Prec@5 85.625 (84.849) Epoch: [83][7310/11272] Time 0.862 (0.775) Data 0.001 (0.002) Loss 1.8737 (1.6149) Prec@1 48.125 (56.461) Prec@5 77.500 (84.848) Epoch: [83][7320/11272] Time 0.741 (0.775) Data 0.002 (0.002) Loss 1.9213 (1.6150) Prec@1 48.125 (56.459) Prec@5 81.250 (84.844) Epoch: [83][7330/11272] Time 0.712 (0.775) Data 0.001 (0.002) Loss 1.5290 (1.6150) Prec@1 55.000 (56.460) Prec@5 85.625 (84.846) Epoch: [83][7340/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.7414 (1.6149) Prec@1 52.500 (56.462) Prec@5 81.250 (84.846) Epoch: [83][7350/11272] Time 0.785 (0.775) Data 0.001 (0.002) Loss 1.8634 (1.6150) Prec@1 49.375 (56.461) Prec@5 80.000 (84.844) Epoch: [83][7360/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.6557 (1.6150) Prec@1 55.000 (56.459) Prec@5 83.125 (84.843) Epoch: [83][7370/11272] Time 0.686 (0.775) Data 0.001 (0.002) Loss 1.5269 (1.6151) Prec@1 55.625 (56.457) Prec@5 86.875 (84.843) Epoch: [83][7380/11272] Time 0.874 (0.775) Data 0.002 (0.002) Loss 1.4351 (1.6151) Prec@1 60.625 (56.457) Prec@5 87.500 (84.843) Epoch: [83][7390/11272] Time 0.777 (0.775) Data 0.001 (0.002) Loss 1.6469 (1.6152) Prec@1 57.500 (56.456) Prec@5 83.125 (84.841) Epoch: [83][7400/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.7185 (1.6151) Prec@1 55.625 (56.459) Prec@5 84.375 (84.845) Epoch: [83][7410/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 2.1017 (1.6151) Prec@1 45.000 (56.456) Prec@5 79.375 (84.845) Epoch: [83][7420/11272] Time 0.788 (0.775) Data 0.001 (0.002) Loss 1.5424 (1.6151) Prec@1 60.000 (56.457) Prec@5 84.375 (84.845) Epoch: [83][7430/11272] Time 0.718 (0.775) Data 0.003 (0.002) Loss 1.6198 (1.6152) Prec@1 56.250 (56.456) Prec@5 86.250 (84.845) Epoch: [83][7440/11272] Time 0.703 (0.775) Data 0.002 (0.002) Loss 1.7203 (1.6153) Prec@1 51.250 (56.456) Prec@5 85.000 (84.843) Epoch: [83][7450/11272] Time 0.861 (0.775) Data 0.002 (0.002) Loss 1.7031 (1.6153) Prec@1 56.875 (56.457) Prec@5 79.375 (84.841) Epoch: [83][7460/11272] Time 0.815 (0.775) Data 0.001 (0.002) Loss 1.8237 (1.6153) Prec@1 57.500 (56.459) Prec@5 84.375 (84.841) Epoch: [83][7470/11272] Time 0.718 (0.775) Data 0.002 (0.002) Loss 1.4232 (1.6153) Prec@1 61.875 (56.459) Prec@5 87.500 (84.842) Epoch: [83][7480/11272] Time 0.802 (0.775) Data 0.002 (0.002) Loss 1.7107 (1.6152) Prec@1 49.375 (56.459) Prec@5 81.875 (84.842) Epoch: [83][7490/11272] Time 0.787 (0.775) Data 0.001 (0.002) Loss 1.4360 (1.6152) Prec@1 58.125 (56.459) Prec@5 88.750 (84.843) Epoch: [83][7500/11272] Time 0.843 (0.775) Data 0.001 (0.002) Loss 1.5854 (1.6151) Prec@1 61.250 (56.462) Prec@5 86.250 (84.844) Epoch: [83][7510/11272] Time 0.743 (0.775) Data 0.001 (0.002) Loss 1.4660 (1.6151) Prec@1 60.625 (56.465) Prec@5 86.875 (84.846) Epoch: [83][7520/11272] Time 0.745 (0.775) Data 0.001 (0.002) Loss 1.5599 (1.6150) Prec@1 60.625 (56.466) Prec@5 87.500 (84.847) Epoch: [83][7530/11272] Time 0.821 (0.775) Data 0.001 (0.002) Loss 1.5320 (1.6151) Prec@1 60.625 (56.467) Prec@5 86.250 (84.847) Epoch: [83][7540/11272] Time 0.808 (0.775) Data 0.001 (0.002) Loss 1.7219 (1.6151) Prec@1 54.375 (56.464) Prec@5 83.750 (84.847) Epoch: [83][7550/11272] Time 0.705 (0.775) Data 0.001 (0.002) Loss 1.7223 (1.6152) Prec@1 57.500 (56.462) Prec@5 83.125 (84.847) Epoch: [83][7560/11272] Time 0.795 (0.775) Data 0.001 (0.002) Loss 1.7351 (1.6151) Prec@1 56.875 (56.464) Prec@5 81.250 (84.848) Epoch: [83][7570/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.7251 (1.6151) Prec@1 53.125 (56.464) Prec@5 83.750 (84.849) Epoch: [83][7580/11272] Time 0.734 (0.775) Data 0.002 (0.002) Loss 1.8455 (1.6152) Prec@1 48.750 (56.461) Prec@5 79.375 (84.846) Epoch: [83][7590/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.8449 (1.6153) Prec@1 48.750 (56.459) Prec@5 80.000 (84.843) Epoch: [83][7600/11272] Time 0.845 (0.775) Data 0.001 (0.002) Loss 1.6472 (1.6154) Prec@1 55.000 (56.459) Prec@5 83.125 (84.842) Epoch: [83][7610/11272] Time 0.833 (0.775) Data 0.001 (0.002) Loss 1.6308 (1.6154) Prec@1 56.875 (56.456) Prec@5 82.500 (84.841) Epoch: [83][7620/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.6091 (1.6155) Prec@1 56.250 (56.456) Prec@5 85.000 (84.840) Epoch: [83][7630/11272] Time 0.729 (0.775) Data 0.001 (0.002) Loss 1.7296 (1.6155) Prec@1 52.500 (56.455) Prec@5 81.250 (84.841) Epoch: [83][7640/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.7781 (1.6155) Prec@1 55.000 (56.454) Prec@5 81.250 (84.841) Epoch: [83][7650/11272] Time 0.829 (0.775) Data 0.001 (0.002) Loss 1.5470 (1.6154) Prec@1 57.500 (56.454) Prec@5 88.750 (84.844) Epoch: [83][7660/11272] Time 0.728 (0.775) Data 0.001 (0.002) Loss 1.5882 (1.6154) Prec@1 55.625 (56.453) Prec@5 82.500 (84.843) Epoch: [83][7670/11272] Time 0.720 (0.775) Data 0.001 (0.002) Loss 1.6614 (1.6155) Prec@1 59.375 (56.453) Prec@5 86.250 (84.843) Epoch: [83][7680/11272] Time 0.805 (0.775) Data 0.001 (0.002) Loss 1.7478 (1.6156) Prec@1 55.000 (56.449) Prec@5 80.625 (84.840) Epoch: [83][7690/11272] Time 0.809 (0.775) Data 0.001 (0.002) Loss 1.5935 (1.6156) Prec@1 57.500 (56.447) Prec@5 86.250 (84.842) Epoch: [83][7700/11272] Time 0.716 (0.775) Data 0.001 (0.002) Loss 1.8637 (1.6156) Prec@1 56.250 (56.447) Prec@5 78.125 (84.842) Epoch: [83][7710/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.8584 (1.6156) Prec@1 50.625 (56.450) Prec@5 78.750 (84.842) Epoch: [83][7720/11272] Time 0.791 (0.775) Data 0.001 (0.002) Loss 1.6151 (1.6155) Prec@1 51.875 (56.451) Prec@5 85.000 (84.842) Epoch: [83][7730/11272] Time 0.711 (0.775) Data 0.001 (0.002) Loss 1.4864 (1.6156) Prec@1 61.875 (56.450) Prec@5 85.000 (84.842) Epoch: [83][7740/11272] Time 0.710 (0.775) Data 0.001 (0.002) Loss 1.6294 (1.6156) Prec@1 55.000 (56.450) Prec@5 87.500 (84.842) Epoch: [83][7750/11272] Time 0.789 (0.775) Data 0.001 (0.002) Loss 1.7237 (1.6157) Prec@1 48.750 (56.447) Prec@5 83.750 (84.841) Epoch: [83][7760/11272] Time 0.831 (0.775) Data 0.001 (0.002) Loss 1.7499 (1.6158) Prec@1 51.875 (56.446) Prec@5 81.875 (84.840) Epoch: [83][7770/11272] Time 0.703 (0.775) Data 0.001 (0.002) Loss 1.7628 (1.6157) Prec@1 50.000 (56.447) Prec@5 81.875 (84.843) Epoch: [83][7780/11272] Time 0.704 (0.775) Data 0.001 (0.002) Loss 1.7688 (1.6157) Prec@1 50.625 (56.443) Prec@5 82.500 (84.842) Epoch: [83][7790/11272] Time 0.828 (0.775) Data 0.001 (0.002) Loss 1.8024 (1.6158) Prec@1 51.875 (56.441) Prec@5 79.375 (84.841) Epoch: [83][7800/11272] Time 0.838 (0.775) Data 0.001 (0.002) Loss 1.8100 (1.6158) Prec@1 51.250 (56.439) Prec@5 81.875 (84.840) Epoch: [83][7810/11272] Time 0.721 (0.775) Data 0.001 (0.002) Loss 1.3450 (1.6158) Prec@1 65.625 (56.440) Prec@5 89.375 (84.842) Epoch: [83][7820/11272] Time 0.697 (0.775) Data 0.001 (0.002) Loss 1.7095 (1.6158) Prec@1 55.000 (56.440) Prec@5 81.250 (84.841) Epoch: [83][7830/11272] Time 0.814 (0.775) Data 0.001 (0.002) Loss 1.5737 (1.6157) Prec@1 59.375 (56.444) Prec@5 83.750 (84.841) Epoch: [83][7840/11272] Time 0.713 (0.775) Data 0.001 (0.002) Loss 1.7850 (1.6157) Prec@1 48.750 (56.444) Prec@5 81.875 (84.841) Epoch: [83][7850/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.4412 (1.6156) Prec@1 59.375 (56.445) Prec@5 88.750 (84.842) Epoch: [83][7860/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.3548 (1.6156) Prec@1 63.125 (56.446) Prec@5 89.375 (84.842) Epoch: [83][7870/11272] Time 0.804 (0.774) Data 0.002 (0.002) Loss 1.5853 (1.6156) Prec@1 58.125 (56.444) Prec@5 84.375 (84.842) Epoch: [83][7880/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.6641 (1.6156) Prec@1 52.500 (56.444) Prec@5 83.750 (84.843) Epoch: [83][7890/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6536 (1.6156) Prec@1 55.625 (56.443) Prec@5 81.875 (84.841) Epoch: [83][7900/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.5753 (1.6157) Prec@1 62.500 (56.443) Prec@5 83.750 (84.842) Epoch: [83][7910/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.6691 (1.6157) Prec@1 55.000 (56.443) Prec@5 84.375 (84.840) Epoch: [83][7920/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.3882 (1.6157) Prec@1 58.750 (56.443) Prec@5 90.625 (84.840) Epoch: [83][7930/11272] Time 0.751 (0.774) Data 0.002 (0.002) Loss 1.5217 (1.6156) Prec@1 58.750 (56.444) Prec@5 85.625 (84.841) Epoch: [83][7940/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.7560 (1.6156) Prec@1 53.750 (56.444) Prec@5 83.125 (84.843) Epoch: [83][7950/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.4772 (1.6155) Prec@1 58.750 (56.446) Prec@5 86.250 (84.843) Epoch: [83][7960/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.8401 (1.6155) Prec@1 48.750 (56.446) Prec@5 80.625 (84.845) Epoch: [83][7970/11272] Time 0.856 (0.774) Data 0.001 (0.002) Loss 1.6370 (1.6155) Prec@1 56.875 (56.445) Prec@5 86.875 (84.844) Epoch: [83][7980/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.7080 (1.6154) Prec@1 53.750 (56.447) Prec@5 81.875 (84.846) Epoch: [83][7990/11272] Time 0.694 (0.774) Data 0.001 (0.002) Loss 1.4816 (1.6154) Prec@1 58.750 (56.445) Prec@5 86.250 (84.847) Epoch: [83][8000/11272] Time 0.731 (0.774) Data 0.002 (0.002) Loss 1.4178 (1.6155) Prec@1 60.000 (56.444) Prec@5 88.750 (84.846) Epoch: [83][8010/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.5540 (1.6155) Prec@1 57.500 (56.444) Prec@5 85.625 (84.846) Epoch: [83][8020/11272] Time 0.782 (0.774) Data 0.001 (0.002) Loss 1.7151 (1.6154) Prec@1 50.000 (56.444) Prec@5 80.625 (84.847) Epoch: [83][8030/11272] Time 0.728 (0.774) Data 0.001 (0.002) Loss 1.5880 (1.6155) Prec@1 60.000 (56.444) Prec@5 84.375 (84.846) Epoch: [83][8040/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.7537 (1.6155) Prec@1 60.000 (56.442) Prec@5 80.000 (84.845) Epoch: [83][8050/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.6987 (1.6155) Prec@1 53.750 (56.444) Prec@5 81.250 (84.845) Epoch: [83][8060/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.4289 (1.6154) Prec@1 61.250 (56.444) Prec@5 84.375 (84.845) Epoch: [83][8070/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.4393 (1.6154) Prec@1 61.875 (56.444) Prec@5 86.875 (84.844) Epoch: [83][8080/11272] Time 0.751 (0.774) Data 0.001 (0.002) Loss 1.5824 (1.6155) Prec@1 58.750 (56.446) Prec@5 86.875 (84.844) Epoch: [83][8090/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.3092 (1.6154) Prec@1 65.000 (56.445) Prec@5 88.125 (84.843) Epoch: [83][8100/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.4582 (1.6154) Prec@1 58.750 (56.447) Prec@5 85.625 (84.843) Epoch: [83][8110/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.5736 (1.6154) Prec@1 60.000 (56.447) Prec@5 86.875 (84.842) Epoch: [83][8120/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.5002 (1.6153) Prec@1 60.625 (56.451) Prec@5 83.750 (84.844) Epoch: [83][8130/11272] Time 0.812 (0.774) Data 0.002 (0.002) Loss 1.6359 (1.6153) Prec@1 61.250 (56.449) Prec@5 84.375 (84.842) Epoch: [83][8140/11272] Time 0.708 (0.774) Data 0.002 (0.002) Loss 1.6568 (1.6154) Prec@1 51.875 (56.448) Prec@5 85.000 (84.840) Epoch: [83][8150/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.4090 (1.6154) Prec@1 58.750 (56.447) Prec@5 89.375 (84.840) Epoch: [83][8160/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5750 (1.6154) Prec@1 55.000 (56.448) Prec@5 88.750 (84.841) Epoch: [83][8170/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.4423 (1.6154) Prec@1 61.875 (56.448) Prec@5 85.625 (84.840) Epoch: [83][8180/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.9227 (1.6155) Prec@1 50.625 (56.447) Prec@5 81.250 (84.840) Epoch: [83][8190/11272] Time 0.713 (0.774) Data 0.002 (0.002) Loss 1.4382 (1.6155) Prec@1 61.875 (56.446) Prec@5 89.375 (84.840) Epoch: [83][8200/11272] Time 0.841 (0.774) Data 0.001 (0.002) Loss 1.5581 (1.6155) Prec@1 58.750 (56.446) Prec@5 86.875 (84.841) Epoch: [83][8210/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.7634 (1.6156) Prec@1 53.125 (56.445) Prec@5 81.875 (84.839) Epoch: [83][8220/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7268 (1.6157) Prec@1 57.500 (56.444) Prec@5 84.375 (84.837) Epoch: [83][8230/11272] Time 0.818 (0.774) Data 0.001 (0.002) Loss 1.5219 (1.6157) Prec@1 60.625 (56.443) Prec@5 84.375 (84.837) Epoch: [83][8240/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.6464 (1.6157) Prec@1 57.500 (56.443) Prec@5 82.500 (84.835) Epoch: [83][8250/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.4620 (1.6156) Prec@1 62.500 (56.445) Prec@5 86.875 (84.837) Epoch: [83][8260/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.5593 (1.6157) Prec@1 58.125 (56.445) Prec@5 86.875 (84.836) Epoch: [83][8270/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.9707 (1.6157) Prec@1 50.000 (56.446) Prec@5 76.250 (84.835) Epoch: [83][8280/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.6247 (1.6157) Prec@1 56.250 (56.448) Prec@5 82.500 (84.837) Epoch: [83][8290/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.4316 (1.6157) Prec@1 60.625 (56.446) Prec@5 85.625 (84.836) Epoch: [83][8300/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.8577 (1.6157) Prec@1 54.375 (56.447) Prec@5 80.000 (84.837) Epoch: [83][8310/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.5698 (1.6157) Prec@1 56.875 (56.447) Prec@5 83.125 (84.837) Epoch: [83][8320/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.8719 (1.6157) Prec@1 51.875 (56.447) Prec@5 80.625 (84.836) Epoch: [83][8330/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.4112 (1.6157) Prec@1 58.750 (56.448) Prec@5 88.125 (84.837) Epoch: [83][8340/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.5492 (1.6157) Prec@1 50.625 (56.446) Prec@5 84.375 (84.837) Epoch: [83][8350/11272] Time 0.817 (0.774) Data 0.002 (0.002) Loss 1.5854 (1.6158) Prec@1 55.000 (56.443) Prec@5 85.625 (84.835) Epoch: [83][8360/11272] Time 0.740 (0.774) Data 0.003 (0.002) Loss 1.4469 (1.6158) Prec@1 58.750 (56.442) Prec@5 88.125 (84.834) Epoch: [83][8370/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5556 (1.6159) Prec@1 59.375 (56.440) Prec@5 85.000 (84.835) Epoch: [83][8380/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6548 (1.6158) Prec@1 54.375 (56.441) Prec@5 83.750 (84.835) Epoch: [83][8390/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.6464 (1.6158) Prec@1 53.750 (56.440) Prec@5 85.625 (84.835) Epoch: [83][8400/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.5040 (1.6158) Prec@1 60.000 (56.443) Prec@5 85.625 (84.836) Epoch: [83][8410/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.5359 (1.6158) Prec@1 59.375 (56.441) Prec@5 87.500 (84.835) Epoch: [83][8420/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.5355 (1.6158) Prec@1 60.625 (56.445) Prec@5 85.625 (84.836) Epoch: [83][8430/11272] Time 0.821 (0.774) Data 0.001 (0.002) Loss 1.6341 (1.6158) Prec@1 56.250 (56.444) Prec@5 89.375 (84.836) Epoch: [83][8440/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6003 (1.6158) Prec@1 54.375 (56.445) Prec@5 89.375 (84.838) Epoch: [83][8450/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6203 (1.6157) Prec@1 53.750 (56.444) Prec@5 85.000 (84.837) Epoch: [83][8460/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.5203 (1.6158) Prec@1 60.000 (56.441) Prec@5 85.625 (84.836) Epoch: [83][8470/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.5522 (1.6158) Prec@1 58.125 (56.442) Prec@5 86.250 (84.837) Epoch: [83][8480/11272] Time 0.710 (0.774) Data 0.002 (0.002) Loss 1.5464 (1.6158) Prec@1 61.875 (56.443) Prec@5 86.875 (84.837) Epoch: [83][8490/11272] Time 0.772 (0.774) Data 0.001 (0.002) Loss 1.3966 (1.6158) Prec@1 57.500 (56.445) Prec@5 89.375 (84.837) Epoch: [83][8500/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.5662 (1.6157) Prec@1 60.000 (56.445) Prec@5 85.625 (84.838) Epoch: [83][8510/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6403 (1.6158) Prec@1 55.000 (56.443) Prec@5 82.500 (84.836) Epoch: [83][8520/11272] Time 0.736 (0.774) Data 0.001 (0.002) Loss 1.6570 (1.6158) Prec@1 55.625 (56.443) Prec@5 84.375 (84.837) Epoch: [83][8530/11272] Time 0.836 (0.774) Data 0.001 (0.002) Loss 1.4661 (1.6158) Prec@1 57.500 (56.444) Prec@5 84.375 (84.837) Epoch: [83][8540/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.6074 (1.6157) Prec@1 55.625 (56.446) Prec@5 85.625 (84.838) Epoch: [83][8550/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6417 (1.6158) Prec@1 58.750 (56.445) Prec@5 87.500 (84.839) Epoch: [83][8560/11272] Time 0.687 (0.774) Data 0.001 (0.002) Loss 1.7296 (1.6158) Prec@1 55.000 (56.447) Prec@5 83.750 (84.838) Epoch: [83][8570/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.5403 (1.6158) Prec@1 56.875 (56.446) Prec@5 88.750 (84.840) Epoch: [83][8580/11272] Time 0.808 (0.774) Data 0.001 (0.002) Loss 1.8743 (1.6158) Prec@1 49.375 (56.447) Prec@5 83.750 (84.839) Epoch: [83][8590/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.6428 (1.6159) Prec@1 61.250 (56.447) Prec@5 86.875 (84.839) Epoch: [83][8600/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.5537 (1.6159) Prec@1 59.375 (56.447) Prec@5 85.000 (84.839) Epoch: [83][8610/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.6608 (1.6160) Prec@1 57.500 (56.444) Prec@5 83.750 (84.838) Epoch: [83][8620/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.5716 (1.6160) Prec@1 58.125 (56.445) Prec@5 86.875 (84.839) Epoch: [83][8630/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.6580 (1.6159) Prec@1 57.500 (56.444) Prec@5 86.250 (84.840) Epoch: [83][8640/11272] Time 0.815 (0.774) Data 0.002 (0.002) Loss 1.6340 (1.6159) Prec@1 53.125 (56.445) Prec@5 85.000 (84.839) Epoch: [83][8650/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.7319 (1.6160) Prec@1 54.375 (56.445) Prec@5 81.875 (84.838) Epoch: [83][8660/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.8510 (1.6161) Prec@1 51.875 (56.442) Prec@5 80.625 (84.837) Epoch: [83][8670/11272] Time 0.728 (0.774) Data 0.001 (0.002) Loss 1.8235 (1.6162) Prec@1 52.500 (56.441) Prec@5 80.000 (84.836) Epoch: [83][8680/11272] Time 0.865 (0.774) Data 0.001 (0.002) Loss 1.6503 (1.6161) Prec@1 58.750 (56.443) Prec@5 86.875 (84.836) Epoch: [83][8690/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.5266 (1.6161) Prec@1 60.000 (56.445) Prec@5 86.250 (84.835) Epoch: [83][8700/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.5726 (1.6161) Prec@1 56.875 (56.444) Prec@5 85.625 (84.834) Epoch: [83][8710/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.6318 (1.6161) Prec@1 53.125 (56.444) Prec@5 85.625 (84.834) Epoch: [83][8720/11272] Time 0.829 (0.774) Data 0.001 (0.002) Loss 1.4759 (1.6162) Prec@1 60.625 (56.442) Prec@5 87.500 (84.835) Epoch: [83][8730/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.5724 (1.6161) Prec@1 58.750 (56.443) Prec@5 83.750 (84.834) Epoch: [83][8740/11272] Time 0.711 (0.774) Data 0.002 (0.002) Loss 1.6685 (1.6162) Prec@1 55.000 (56.442) Prec@5 86.250 (84.835) Epoch: [83][8750/11272] Time 0.716 (0.774) Data 0.002 (0.002) Loss 1.6290 (1.6162) Prec@1 52.500 (56.442) Prec@5 87.500 (84.835) Epoch: [83][8760/11272] Time 0.882 (0.774) Data 0.002 (0.002) Loss 1.5725 (1.6162) Prec@1 53.125 (56.443) Prec@5 85.625 (84.834) Epoch: [83][8770/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.5935 (1.6162) Prec@1 56.875 (56.443) Prec@5 86.875 (84.834) Epoch: [83][8780/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.9134 (1.6163) Prec@1 46.250 (56.441) Prec@5 78.125 (84.833) Epoch: [83][8790/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.7511 (1.6163) Prec@1 52.500 (56.440) Prec@5 82.500 (84.832) Epoch: [83][8800/11272] Time 0.817 (0.774) Data 0.002 (0.002) Loss 1.6165 (1.6164) Prec@1 51.875 (56.440) Prec@5 85.625 (84.831) Epoch: [83][8810/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.7563 (1.6164) Prec@1 56.250 (56.439) Prec@5 83.125 (84.831) Epoch: [83][8820/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.5400 (1.6164) Prec@1 54.375 (56.439) Prec@5 86.875 (84.833) Epoch: [83][8830/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.5795 (1.6164) Prec@1 54.375 (56.438) Prec@5 85.000 (84.831) Epoch: [83][8840/11272] Time 0.858 (0.774) Data 0.001 (0.002) Loss 1.6875 (1.6164) Prec@1 55.000 (56.438) Prec@5 81.250 (84.831) Epoch: [83][8850/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.7443 (1.6164) Prec@1 51.875 (56.436) Prec@5 81.875 (84.831) Epoch: [83][8860/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.4755 (1.6165) Prec@1 61.875 (56.434) Prec@5 83.750 (84.829) Epoch: [83][8870/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.5136 (1.6165) Prec@1 56.250 (56.433) Prec@5 87.500 (84.829) Epoch: [83][8880/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.4610 (1.6164) Prec@1 60.625 (56.435) Prec@5 86.875 (84.830) Epoch: [83][8890/11272] Time 0.736 (0.774) Data 0.001 (0.002) Loss 1.7359 (1.6165) Prec@1 53.125 (56.433) Prec@5 85.000 (84.829) Epoch: [83][8900/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6313 (1.6165) Prec@1 55.000 (56.434) Prec@5 84.375 (84.829) Epoch: [83][8910/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.6957 (1.6166) Prec@1 57.500 (56.432) Prec@5 81.250 (84.826) Epoch: [83][8920/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.5305 (1.6166) Prec@1 58.750 (56.432) Prec@5 87.500 (84.825) Epoch: [83][8930/11272] Time 0.695 (0.774) Data 0.001 (0.002) Loss 1.7808 (1.6165) Prec@1 51.875 (56.435) Prec@5 81.250 (84.825) Epoch: [83][8940/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.8817 (1.6166) Prec@1 55.000 (56.434) Prec@5 80.625 (84.827) Epoch: [83][8950/11272] Time 0.839 (0.774) Data 0.001 (0.002) Loss 1.8106 (1.6166) Prec@1 55.625 (56.433) Prec@5 83.125 (84.827) Epoch: [83][8960/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7008 (1.6166) Prec@1 56.250 (56.434) Prec@5 81.250 (84.827) Epoch: [83][8970/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.5793 (1.6166) Prec@1 53.125 (56.434) Prec@5 86.875 (84.828) Epoch: [83][8980/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.6322 (1.6166) Prec@1 55.000 (56.435) Prec@5 84.375 (84.828) Epoch: [83][8990/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6349 (1.6166) Prec@1 53.750 (56.433) Prec@5 82.500 (84.827) Epoch: [83][9000/11272] Time 0.696 (0.774) Data 0.001 (0.002) Loss 1.8165 (1.6166) Prec@1 51.875 (56.433) Prec@5 83.125 (84.827) Epoch: [83][9010/11272] Time 0.728 (0.774) Data 0.001 (0.002) Loss 1.4246 (1.6166) Prec@1 64.375 (56.433) Prec@5 88.750 (84.827) Epoch: [83][9020/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.4915 (1.6166) Prec@1 60.625 (56.432) Prec@5 86.875 (84.828) Epoch: [83][9030/11272] Time 0.706 (0.774) Data 0.003 (0.002) Loss 1.7633 (1.6167) Prec@1 55.000 (56.430) Prec@5 81.875 (84.827) Epoch: [83][9040/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6933 (1.6167) Prec@1 51.250 (56.431) Prec@5 85.625 (84.827) Epoch: [83][9050/11272] Time 0.863 (0.774) Data 0.002 (0.002) Loss 1.5759 (1.6167) Prec@1 55.625 (56.429) Prec@5 88.125 (84.828) Epoch: [83][9060/11272] Time 0.857 (0.774) Data 0.001 (0.002) Loss 1.7201 (1.6168) Prec@1 51.250 (56.428) Prec@5 85.000 (84.828) Epoch: [83][9070/11272] Time 0.755 (0.774) Data 0.001 (0.002) Loss 1.8034 (1.6168) Prec@1 55.000 (56.428) Prec@5 82.500 (84.828) Epoch: [83][9080/11272] Time 0.741 (0.774) Data 0.001 (0.002) Loss 1.4657 (1.6168) Prec@1 59.375 (56.429) Prec@5 86.875 (84.827) Epoch: [83][9090/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.4832 (1.6168) Prec@1 54.375 (56.428) Prec@5 85.000 (84.826) Epoch: [83][9100/11272] Time 0.800 (0.774) Data 0.001 (0.002) Loss 1.6214 (1.6169) Prec@1 56.875 (56.428) Prec@5 86.250 (84.825) Epoch: [83][9110/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.5702 (1.6169) Prec@1 58.750 (56.427) Prec@5 87.500 (84.823) Epoch: [83][9120/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6205 (1.6170) Prec@1 58.125 (56.427) Prec@5 86.250 (84.823) Epoch: [83][9130/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.4424 (1.6169) Prec@1 56.875 (56.427) Prec@5 88.750 (84.823) Epoch: [83][9140/11272] Time 0.847 (0.774) Data 0.001 (0.002) Loss 1.6969 (1.6169) Prec@1 60.000 (56.428) Prec@5 83.750 (84.823) Epoch: [83][9150/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.5532 (1.6169) Prec@1 55.625 (56.428) Prec@5 88.750 (84.824) Epoch: [83][9160/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.5856 (1.6169) Prec@1 58.750 (56.427) Prec@5 87.500 (84.824) Epoch: [83][9170/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.6900 (1.6169) Prec@1 55.625 (56.428) Prec@5 81.875 (84.824) Epoch: [83][9180/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.6029 (1.6170) Prec@1 60.000 (56.425) Prec@5 85.000 (84.824) Epoch: [83][9190/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.7072 (1.6169) Prec@1 50.000 (56.427) Prec@5 84.375 (84.826) Epoch: [83][9200/11272] Time 0.825 (0.774) Data 0.001 (0.002) Loss 1.5397 (1.6168) Prec@1 55.000 (56.429) Prec@5 85.000 (84.828) Epoch: [83][9210/11272] Time 0.847 (0.774) Data 0.001 (0.002) Loss 1.4045 (1.6168) Prec@1 65.625 (56.430) Prec@5 90.000 (84.829) Epoch: [83][9220/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6320 (1.6168) Prec@1 57.500 (56.429) Prec@5 81.875 (84.827) Epoch: [83][9230/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.3763 (1.6168) Prec@1 56.250 (56.429) Prec@5 88.750 (84.827) Epoch: [83][9240/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.5962 (1.6169) Prec@1 55.000 (56.429) Prec@5 82.500 (84.827) Epoch: [83][9250/11272] Time 0.861 (0.774) Data 0.002 (0.002) Loss 1.7600 (1.6169) Prec@1 55.000 (56.427) Prec@5 84.375 (84.827) Epoch: [83][9260/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.6063 (1.6169) Prec@1 55.625 (56.428) Prec@5 81.875 (84.826) Epoch: [83][9270/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.6102 (1.6169) Prec@1 52.500 (56.426) Prec@5 81.875 (84.825) Epoch: [83][9280/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.6721 (1.6169) Prec@1 56.250 (56.426) Prec@5 83.125 (84.826) Epoch: [83][9290/11272] Time 0.711 (0.774) Data 0.003 (0.002) Loss 1.6261 (1.6169) Prec@1 56.875 (56.426) Prec@5 81.875 (84.828) Epoch: [83][9300/11272] Time 0.686 (0.774) Data 0.003 (0.002) Loss 1.7132 (1.6169) Prec@1 55.000 (56.425) Prec@5 83.125 (84.828) Epoch: [83][9310/11272] Time 0.834 (0.774) Data 0.001 (0.002) Loss 1.5065 (1.6169) Prec@1 58.750 (56.423) Prec@5 86.875 (84.827) Epoch: [83][9320/11272] Time 0.816 (0.774) Data 0.001 (0.002) Loss 1.5438 (1.6169) Prec@1 53.750 (56.423) Prec@5 86.250 (84.828) Epoch: [83][9330/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.6761 (1.6169) Prec@1 56.250 (56.423) Prec@5 81.250 (84.827) Epoch: [83][9340/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.5911 (1.6170) Prec@1 54.375 (56.422) Prec@5 83.750 (84.827) Epoch: [83][9350/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.5399 (1.6170) Prec@1 55.000 (56.422) Prec@5 85.000 (84.825) Epoch: [83][9360/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.6746 (1.6170) Prec@1 51.250 (56.421) Prec@5 85.000 (84.824) Epoch: [83][9370/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.5494 (1.6170) Prec@1 60.000 (56.419) Prec@5 84.375 (84.823) Epoch: [83][9380/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.5500 (1.6171) Prec@1 56.875 (56.418) Prec@5 84.375 (84.822) Epoch: [83][9390/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.4555 (1.6171) Prec@1 63.750 (56.419) Prec@5 90.000 (84.823) Epoch: [83][9400/11272] Time 0.854 (0.774) Data 0.001 (0.002) Loss 1.7541 (1.6171) Prec@1 55.000 (56.418) Prec@5 81.875 (84.822) Epoch: [83][9410/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.6647 (1.6171) Prec@1 56.250 (56.420) Prec@5 84.375 (84.822) Epoch: [83][9420/11272] Time 0.857 (0.774) Data 0.001 (0.002) Loss 1.6913 (1.6171) Prec@1 50.625 (56.417) Prec@5 85.625 (84.823) Epoch: [83][9430/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6475 (1.6172) Prec@1 56.250 (56.416) Prec@5 87.500 (84.822) Epoch: [83][9440/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.7770 (1.6172) Prec@1 53.125 (56.415) Prec@5 83.125 (84.822) Epoch: [83][9450/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.5453 (1.6171) Prec@1 59.375 (56.417) Prec@5 85.000 (84.822) Epoch: [83][9460/11272] Time 0.861 (0.774) Data 0.001 (0.002) Loss 1.8615 (1.6172) Prec@1 54.375 (56.415) Prec@5 81.875 (84.821) Epoch: [83][9470/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.3896 (1.6172) Prec@1 63.750 (56.415) Prec@5 87.500 (84.821) Epoch: [83][9480/11272] Time 0.692 (0.774) Data 0.001 (0.002) Loss 1.8041 (1.6173) Prec@1 58.750 (56.414) Prec@5 80.625 (84.820) Epoch: [83][9490/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6283 (1.6172) Prec@1 56.875 (56.414) Prec@5 84.375 (84.818) Epoch: [83][9500/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.4365 (1.6173) Prec@1 58.125 (56.415) Prec@5 86.875 (84.817) Epoch: [83][9510/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.5631 (1.6172) Prec@1 63.125 (56.418) Prec@5 87.500 (84.817) Epoch: [83][9520/11272] Time 0.723 (0.774) Data 0.002 (0.002) Loss 1.7128 (1.6172) Prec@1 55.625 (56.418) Prec@5 86.875 (84.818) Epoch: [83][9530/11272] Time 0.721 (0.774) Data 0.002 (0.002) Loss 1.6133 (1.6173) Prec@1 58.750 (56.418) Prec@5 79.375 (84.817) Epoch: [83][9540/11272] Time 0.779 (0.774) Data 0.001 (0.002) Loss 1.5473 (1.6172) Prec@1 61.875 (56.418) Prec@5 83.125 (84.818) Epoch: [83][9550/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6750 (1.6172) Prec@1 60.000 (56.419) Prec@5 81.250 (84.818) Epoch: [83][9560/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.7436 (1.6174) Prec@1 53.125 (56.415) Prec@5 83.750 (84.816) Epoch: [83][9570/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.7779 (1.6174) Prec@1 51.250 (56.415) Prec@5 80.625 (84.815) Epoch: [83][9580/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.6109 (1.6174) Prec@1 55.625 (56.413) Prec@5 88.125 (84.816) Epoch: [83][9590/11272] Time 0.718 (0.774) Data 0.002 (0.002) Loss 1.5501 (1.6174) Prec@1 56.875 (56.414) Prec@5 83.750 (84.815) Epoch: [83][9600/11272] Time 0.727 (0.774) Data 0.002 (0.002) Loss 1.7742 (1.6174) Prec@1 48.750 (56.413) Prec@5 82.500 (84.814) Epoch: [83][9610/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.7601 (1.6175) Prec@1 52.500 (56.410) Prec@5 83.125 (84.813) Epoch: [83][9620/11272] Time 0.806 (0.774) Data 0.002 (0.002) Loss 1.6462 (1.6175) Prec@1 50.000 (56.409) Prec@5 85.625 (84.814) Epoch: [83][9630/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6716 (1.6175) Prec@1 55.625 (56.408) Prec@5 83.750 (84.814) Epoch: [83][9640/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.5071 (1.6175) Prec@1 56.875 (56.408) Prec@5 87.500 (84.814) Epoch: [83][9650/11272] Time 0.844 (0.774) Data 0.001 (0.002) Loss 1.4764 (1.6175) Prec@1 63.125 (56.409) Prec@5 86.250 (84.813) Epoch: [83][9660/11272] Time 0.794 (0.774) Data 0.001 (0.002) Loss 1.5060 (1.6176) Prec@1 56.875 (56.408) Prec@5 86.875 (84.812) Epoch: [83][9670/11272] Time 0.716 (0.774) Data 0.001 (0.002) Loss 1.5379 (1.6176) Prec@1 52.500 (56.407) Prec@5 86.250 (84.812) Epoch: [83][9680/11272] Time 0.683 (0.774) Data 0.001 (0.002) Loss 1.6649 (1.6177) Prec@1 53.750 (56.407) Prec@5 87.500 (84.812) Epoch: [83][9690/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.7159 (1.6177) Prec@1 58.125 (56.406) Prec@5 80.625 (84.811) Epoch: [83][9700/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.8017 (1.6177) Prec@1 52.500 (56.408) Prec@5 82.500 (84.813) Epoch: [83][9710/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.5341 (1.6176) Prec@1 58.750 (56.408) Prec@5 85.000 (84.813) Epoch: [83][9720/11272] Time 0.790 (0.774) Data 0.001 (0.002) Loss 1.9066 (1.6176) Prec@1 50.000 (56.408) Prec@5 82.500 (84.812) Epoch: [83][9730/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.4592 (1.6176) Prec@1 61.250 (56.408) Prec@5 87.500 (84.813) Epoch: [83][9740/11272] Time 0.723 (0.774) Data 0.002 (0.002) Loss 1.6793 (1.6176) Prec@1 55.000 (56.407) Prec@5 88.125 (84.813) Epoch: [83][9750/11272] Time 0.724 (0.774) Data 0.001 (0.002) Loss 1.8325 (1.6177) Prec@1 55.625 (56.406) Prec@5 81.875 (84.811) Epoch: [83][9760/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.6606 (1.6177) Prec@1 54.375 (56.405) Prec@5 85.000 (84.811) Epoch: [83][9770/11272] Time 0.805 (0.774) Data 0.001 (0.002) Loss 1.6744 (1.6178) Prec@1 54.375 (56.404) Prec@5 84.375 (84.809) Epoch: [83][9780/11272] Time 0.708 (0.774) Data 0.001 (0.002) Loss 1.7827 (1.6179) Prec@1 51.875 (56.401) Prec@5 80.625 (84.809) Epoch: [83][9790/11272] Time 0.750 (0.774) Data 0.002 (0.002) Loss 1.6606 (1.6179) Prec@1 49.375 (56.399) Prec@5 84.375 (84.809) Epoch: [83][9800/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.3813 (1.6180) Prec@1 63.750 (56.398) Prec@5 85.625 (84.808) Epoch: [83][9810/11272] Time 0.850 (0.774) Data 0.001 (0.002) Loss 1.7495 (1.6180) Prec@1 53.750 (56.397) Prec@5 84.375 (84.809) Epoch: [83][9820/11272] Time 0.699 (0.774) Data 0.001 (0.002) Loss 1.6498 (1.6180) Prec@1 53.125 (56.397) Prec@5 85.625 (84.808) Epoch: [83][9830/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.4643 (1.6181) Prec@1 64.375 (56.396) Prec@5 88.750 (84.807) Epoch: [83][9840/11272] Time 0.839 (0.774) Data 0.001 (0.002) Loss 1.5558 (1.6181) Prec@1 56.250 (56.394) Prec@5 88.125 (84.807) Epoch: [83][9850/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.8003 (1.6181) Prec@1 56.250 (56.396) Prec@5 83.750 (84.808) Epoch: [83][9860/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.5663 (1.6181) Prec@1 57.500 (56.395) Prec@5 88.750 (84.807) Epoch: [83][9870/11272] Time 0.837 (0.774) Data 0.001 (0.002) Loss 1.6129 (1.6181) Prec@1 60.000 (56.396) Prec@5 83.750 (84.807) Epoch: [83][9880/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.6241 (1.6181) Prec@1 56.875 (56.398) Prec@5 84.375 (84.807) Epoch: [83][9890/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.5442 (1.6181) Prec@1 64.375 (56.399) Prec@5 82.500 (84.807) Epoch: [83][9900/11272] Time 0.732 (0.774) Data 0.002 (0.002) Loss 1.4502 (1.6181) Prec@1 61.875 (56.399) Prec@5 87.500 (84.807) Epoch: [83][9910/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.6098 (1.6181) Prec@1 56.250 (56.401) Prec@5 86.875 (84.808) Epoch: [83][9920/11272] Time 0.830 (0.774) Data 0.001 (0.002) Loss 1.6991 (1.6181) Prec@1 56.250 (56.401) Prec@5 81.250 (84.807) Epoch: [83][9930/11272] Time 0.739 (0.774) Data 0.001 (0.002) Loss 1.6681 (1.6182) Prec@1 57.500 (56.402) Prec@5 83.750 (84.806) Epoch: [83][9940/11272] Time 0.705 (0.774) Data 0.001 (0.002) Loss 1.6599 (1.6182) Prec@1 57.500 (56.402) Prec@5 82.500 (84.806) Epoch: [83][9950/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.6354 (1.6182) Prec@1 50.000 (56.400) Prec@5 90.625 (84.806) Epoch: [83][9960/11272] Time 0.710 (0.774) Data 0.003 (0.002) Loss 1.5626 (1.6183) Prec@1 60.000 (56.399) Prec@5 86.875 (84.806) Epoch: [83][9970/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.7509 (1.6182) Prec@1 50.000 (56.400) Prec@5 83.125 (84.806) Epoch: [83][9980/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.6411 (1.6182) Prec@1 52.500 (56.400) Prec@5 81.250 (84.806) Epoch: [83][9990/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.7819 (1.6183) Prec@1 47.500 (56.397) Prec@5 83.125 (84.806) Epoch: [83][10000/11272] Time 0.726 (0.774) Data 0.001 (0.002) Loss 1.6735 (1.6183) Prec@1 53.125 (56.396) Prec@5 84.375 (84.806) Epoch: [83][10010/11272] Time 0.739 (0.774) Data 0.001 (0.002) Loss 1.8287 (1.6183) Prec@1 46.250 (56.396) Prec@5 81.250 (84.805) Epoch: [83][10020/11272] Time 0.839 (0.774) Data 0.001 (0.002) Loss 1.4013 (1.6183) Prec@1 65.000 (56.396) Prec@5 88.750 (84.804) Epoch: [83][10030/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.7358 (1.6184) Prec@1 56.875 (56.394) Prec@5 83.750 (84.802) Epoch: [83][10040/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.5720 (1.6184) Prec@1 55.000 (56.394) Prec@5 85.625 (84.801) Epoch: [83][10050/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.5254 (1.6184) Prec@1 61.250 (56.393) Prec@5 86.250 (84.802) Epoch: [83][10060/11272] Time 0.842 (0.774) Data 0.001 (0.002) Loss 1.5879 (1.6184) Prec@1 53.750 (56.392) Prec@5 87.500 (84.802) Epoch: [83][10070/11272] Time 0.838 (0.774) Data 0.002 (0.002) Loss 1.4959 (1.6185) Prec@1 54.375 (56.391) Prec@5 85.625 (84.799) Epoch: [83][10080/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.8497 (1.6185) Prec@1 46.875 (56.389) Prec@5 83.750 (84.800) Epoch: [83][10090/11272] Time 0.880 (0.774) Data 0.001 (0.002) Loss 1.4475 (1.6185) Prec@1 61.250 (56.390) Prec@5 89.375 (84.801) Epoch: [83][10100/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 2.0208 (1.6185) Prec@1 50.000 (56.389) Prec@5 71.875 (84.799) Epoch: [83][10110/11272] Time 0.740 (0.774) Data 0.002 (0.002) Loss 1.5333 (1.6185) Prec@1 60.000 (56.390) Prec@5 85.000 (84.801) Epoch: [83][10120/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.7444 (1.6184) Prec@1 51.875 (56.390) Prec@5 81.875 (84.801) Epoch: [83][10130/11272] Time 0.847 (0.774) Data 0.002 (0.002) Loss 1.6978 (1.6184) Prec@1 55.000 (56.391) Prec@5 85.000 (84.802) Epoch: [83][10140/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 2.0178 (1.6185) Prec@1 47.500 (56.389) Prec@5 75.625 (84.801) Epoch: [83][10150/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.7061 (1.6185) Prec@1 55.000 (56.388) Prec@5 83.125 (84.799) Epoch: [83][10160/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.7179 (1.6185) Prec@1 55.000 (56.390) Prec@5 83.750 (84.800) Epoch: [83][10170/11272] Time 0.784 (0.774) Data 0.001 (0.002) Loss 1.8833 (1.6186) Prec@1 53.750 (56.389) Prec@5 76.250 (84.799) Epoch: [83][10180/11272] Time 0.877 (0.774) Data 0.002 (0.002) Loss 1.2827 (1.6185) Prec@1 66.250 (56.391) Prec@5 89.375 (84.799) Epoch: [83][10190/11272] Time 0.710 (0.774) Data 0.001 (0.002) Loss 1.5902 (1.6184) Prec@1 56.250 (56.392) Prec@5 87.500 (84.800) Epoch: [83][10200/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.8082 (1.6185) Prec@1 52.500 (56.392) Prec@5 81.875 (84.799) Epoch: [83][10210/11272] Time 0.814 (0.774) Data 0.001 (0.002) Loss 1.5593 (1.6185) Prec@1 57.500 (56.392) Prec@5 86.875 (84.799) Epoch: [83][10220/11272] Time 0.731 (0.774) Data 0.003 (0.002) Loss 1.5813 (1.6185) Prec@1 60.000 (56.391) Prec@5 85.000 (84.798) Epoch: [83][10230/11272] Time 0.715 (0.774) Data 0.001 (0.002) Loss 1.6640 (1.6185) Prec@1 53.750 (56.392) Prec@5 84.375 (84.798) Epoch: [83][10240/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.7309 (1.6185) Prec@1 54.375 (56.392) Prec@5 82.500 (84.796) Epoch: [83][10250/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.7165 (1.6186) Prec@1 58.750 (56.392) Prec@5 86.250 (84.796) Epoch: [83][10260/11272] Time 0.746 (0.774) Data 0.001 (0.002) Loss 1.5917 (1.6184) Prec@1 60.000 (56.394) Prec@5 87.500 (84.797) Epoch: [83][10270/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.3475 (1.6184) Prec@1 58.750 (56.394) Prec@5 85.000 (84.798) Epoch: [83][10280/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.4838 (1.6184) Prec@1 61.875 (56.395) Prec@5 84.375 (84.798) Epoch: [83][10290/11272] Time 0.803 (0.774) Data 0.001 (0.002) Loss 1.6899 (1.6184) Prec@1 53.125 (56.396) Prec@5 83.125 (84.798) Epoch: [83][10300/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.4711 (1.6184) Prec@1 58.125 (56.394) Prec@5 86.875 (84.798) Epoch: [83][10310/11272] Time 0.738 (0.774) Data 0.001 (0.002) Loss 1.9692 (1.6185) Prec@1 49.375 (56.392) Prec@5 76.250 (84.797) Epoch: [83][10320/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.5654 (1.6184) Prec@1 59.375 (56.394) Prec@5 83.125 (84.797) Epoch: [83][10330/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.2654 (1.6184) Prec@1 64.375 (56.395) Prec@5 91.875 (84.797) Epoch: [83][10340/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.6090 (1.6185) Prec@1 53.750 (56.392) Prec@5 84.375 (84.795) Epoch: [83][10350/11272] Time 0.796 (0.774) Data 0.001 (0.002) Loss 1.5625 (1.6185) Prec@1 60.000 (56.392) Prec@5 85.000 (84.794) Epoch: [83][10360/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.4139 (1.6185) Prec@1 60.000 (56.392) Prec@5 88.750 (84.794) Epoch: [83][10370/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.6402 (1.6186) Prec@1 55.000 (56.391) Prec@5 86.250 (84.794) Epoch: [83][10380/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.6236 (1.6186) Prec@1 56.875 (56.390) Prec@5 86.875 (84.794) Epoch: [83][10390/11272] Time 0.836 (0.774) Data 0.002 (0.002) Loss 1.6195 (1.6187) Prec@1 58.750 (56.391) Prec@5 85.000 (84.792) Epoch: [83][10400/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.6632 (1.6187) Prec@1 55.625 (56.392) Prec@5 85.625 (84.792) Epoch: [83][10410/11272] Time 0.709 (0.774) Data 0.001 (0.002) Loss 1.5574 (1.6187) Prec@1 55.625 (56.392) Prec@5 83.750 (84.791) Epoch: [83][10420/11272] Time 0.707 (0.774) Data 0.002 (0.002) Loss 1.6380 (1.6187) Prec@1 54.375 (56.391) Prec@5 86.875 (84.792) Epoch: [83][10430/11272] Time 0.828 (0.774) Data 0.001 (0.002) Loss 1.5947 (1.6187) Prec@1 55.000 (56.392) Prec@5 86.250 (84.793) Epoch: [83][10440/11272] Time 0.837 (0.774) Data 0.002 (0.002) Loss 1.9164 (1.6187) Prec@1 42.500 (56.393) Prec@5 81.250 (84.791) Epoch: [83][10450/11272] Time 0.733 (0.774) Data 0.001 (0.002) Loss 1.8007 (1.6187) Prec@1 51.875 (56.392) Prec@5 85.625 (84.791) Epoch: [83][10460/11272] Time 0.748 (0.774) Data 0.001 (0.002) Loss 1.6337 (1.6187) Prec@1 61.250 (56.391) Prec@5 82.500 (84.791) Epoch: [83][10470/11272] Time 0.831 (0.774) Data 0.002 (0.002) Loss 1.9162 (1.6188) Prec@1 48.125 (56.391) Prec@5 80.000 (84.791) Epoch: [83][10480/11272] Time 0.801 (0.774) Data 0.002 (0.002) Loss 1.3107 (1.6187) Prec@1 66.875 (56.390) Prec@5 90.625 (84.791) Epoch: [83][10490/11272] Time 0.718 (0.774) Data 0.003 (0.002) Loss 1.4524 (1.6187) Prec@1 60.625 (56.391) Prec@5 83.750 (84.791) Epoch: [83][10500/11272] Time 0.826 (0.774) Data 0.001 (0.002) Loss 1.7244 (1.6187) Prec@1 55.625 (56.390) Prec@5 81.875 (84.791) Epoch: [83][10510/11272] Time 0.811 (0.774) Data 0.001 (0.002) Loss 1.5163 (1.6188) Prec@1 61.875 (56.390) Prec@5 85.625 (84.790) Epoch: [83][10520/11272] Time 0.694 (0.774) Data 0.001 (0.002) Loss 1.7369 (1.6187) Prec@1 51.875 (56.390) Prec@5 80.000 (84.790) Epoch: [83][10530/11272] Time 0.713 (0.774) Data 0.001 (0.002) Loss 1.6265 (1.6188) Prec@1 60.000 (56.389) Prec@5 84.375 (84.790) Epoch: [83][10540/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.8249 (1.6188) Prec@1 51.875 (56.388) Prec@5 81.250 (84.789) Epoch: [83][10550/11272] Time 0.801 (0.774) Data 0.001 (0.002) Loss 1.6664 (1.6188) Prec@1 55.625 (56.388) Prec@5 86.875 (84.790) Epoch: [83][10560/11272] Time 0.725 (0.774) Data 0.002 (0.002) Loss 1.6166 (1.6188) Prec@1 60.000 (56.388) Prec@5 86.250 (84.789) Epoch: [83][10570/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.4979 (1.6188) Prec@1 56.875 (56.387) Prec@5 86.250 (84.790) Epoch: [83][10580/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.5757 (1.6188) Prec@1 53.750 (56.387) Prec@5 86.875 (84.792) Epoch: [83][10590/11272] Time 0.817 (0.774) Data 0.001 (0.002) Loss 1.6855 (1.6189) Prec@1 58.750 (56.383) Prec@5 86.250 (84.789) Epoch: [83][10600/11272] Time 0.701 (0.774) Data 0.001 (0.002) Loss 1.5404 (1.6189) Prec@1 56.250 (56.382) Prec@5 88.125 (84.789) Epoch: [83][10610/11272] Time 0.717 (0.774) Data 0.001 (0.002) Loss 1.5018 (1.6189) Prec@1 60.000 (56.380) Prec@5 85.625 (84.789) Epoch: [83][10620/11272] Time 0.831 (0.774) Data 0.001 (0.002) Loss 1.6164 (1.6189) Prec@1 55.000 (56.380) Prec@5 83.750 (84.791) Epoch: [83][10630/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6761 (1.6189) Prec@1 53.750 (56.379) Prec@5 81.875 (84.790) Epoch: [83][10640/11272] Time 0.707 (0.774) Data 0.001 (0.002) Loss 1.5054 (1.6189) Prec@1 51.875 (56.379) Prec@5 85.625 (84.791) Epoch: [83][10650/11272] Time 0.835 (0.774) Data 0.001 (0.002) Loss 1.5356 (1.6189) Prec@1 55.000 (56.378) Prec@5 84.375 (84.791) Epoch: [83][10660/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.6174 (1.6190) Prec@1 61.875 (56.378) Prec@5 82.500 (84.788) Epoch: [83][10670/11272] Time 0.744 (0.774) Data 0.001 (0.002) Loss 1.6142 (1.6190) Prec@1 62.500 (56.377) Prec@5 84.375 (84.787) Epoch: [83][10680/11272] Time 0.704 (0.774) Data 0.001 (0.002) Loss 1.6691 (1.6191) Prec@1 53.125 (56.375) Prec@5 82.500 (84.786) Epoch: [83][10690/11272] Time 0.823 (0.774) Data 0.002 (0.002) Loss 1.4167 (1.6191) Prec@1 58.750 (56.375) Prec@5 89.375 (84.786) Epoch: [83][10700/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.7607 (1.6191) Prec@1 51.875 (56.373) Prec@5 81.250 (84.785) Epoch: [83][10710/11272] Time 0.730 (0.774) Data 0.002 (0.002) Loss 1.9042 (1.6191) Prec@1 50.625 (56.372) Prec@5 80.000 (84.786) Epoch: [83][10720/11272] Time 0.731 (0.774) Data 0.001 (0.002) Loss 1.7331 (1.6192) Prec@1 51.250 (56.370) Prec@5 85.625 (84.785) Epoch: [83][10730/11272] Time 0.810 (0.774) Data 0.001 (0.002) Loss 1.6049 (1.6191) Prec@1 56.250 (56.370) Prec@5 87.500 (84.786) Epoch: [83][10740/11272] Time 0.785 (0.774) Data 0.001 (0.002) Loss 1.4794 (1.6191) Prec@1 60.625 (56.369) Prec@5 89.375 (84.786) Epoch: [83][10750/11272] Time 0.749 (0.774) Data 0.001 (0.002) Loss 1.5445 (1.6192) Prec@1 61.250 (56.368) Prec@5 86.875 (84.786) Epoch: [83][10760/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.6077 (1.6192) Prec@1 58.125 (56.368) Prec@5 86.250 (84.786) Epoch: [83][10770/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.5045 (1.6192) Prec@1 57.500 (56.368) Prec@5 86.875 (84.785) Epoch: [83][10780/11272] Time 0.689 (0.774) Data 0.001 (0.002) Loss 1.4678 (1.6192) Prec@1 60.625 (56.369) Prec@5 86.250 (84.785) Epoch: [83][10790/11272] Time 0.723 (0.774) Data 0.001 (0.002) Loss 1.7149 (1.6192) Prec@1 51.875 (56.369) Prec@5 81.875 (84.785) Epoch: [83][10800/11272] Time 0.827 (0.774) Data 0.001 (0.002) Loss 1.7026 (1.6192) Prec@1 54.375 (56.369) Prec@5 80.625 (84.786) Epoch: [83][10810/11272] Time 0.833 (0.774) Data 0.001 (0.002) Loss 1.6274 (1.6192) Prec@1 56.250 (56.369) Prec@5 86.875 (84.786) Epoch: [83][10820/11272] Time 0.694 (0.774) Data 0.001 (0.002) Loss 1.6456 (1.6191) Prec@1 57.500 (56.371) Prec@5 83.125 (84.787) Epoch: [83][10830/11272] Time 0.734 (0.774) Data 0.001 (0.002) Loss 1.6862 (1.6191) Prec@1 56.250 (56.371) Prec@5 83.750 (84.788) Epoch: [83][10840/11272] Time 0.824 (0.774) Data 0.001 (0.002) Loss 1.5725 (1.6191) Prec@1 54.375 (56.370) Prec@5 88.750 (84.788) Epoch: [83][10850/11272] Time 0.894 (0.774) Data 0.002 (0.002) Loss 1.7246 (1.6191) Prec@1 51.250 (56.370) Prec@5 84.375 (84.787) Epoch: [83][10860/11272] Time 0.711 (0.774) Data 0.001 (0.002) Loss 1.6676 (1.6192) Prec@1 58.125 (56.370) Prec@5 86.250 (84.786) Epoch: [83][10870/11272] Time 0.718 (0.774) Data 0.001 (0.002) Loss 1.4727 (1.6192) Prec@1 57.500 (56.370) Prec@5 88.125 (84.787) Epoch: [83][10880/11272] Time 0.810 (0.774) Data 0.002 (0.002) Loss 1.6399 (1.6192) Prec@1 56.250 (56.371) Prec@5 83.125 (84.787) Epoch: [83][10890/11272] Time 0.715 (0.774) Data 0.003 (0.002) Loss 1.5065 (1.6192) Prec@1 58.125 (56.370) Prec@5 87.500 (84.786) Epoch: [83][10900/11272] Time 0.726 (0.774) Data 0.002 (0.002) Loss 1.3400 (1.6191) Prec@1 64.375 (56.371) Prec@5 88.750 (84.787) Epoch: [83][10910/11272] Time 0.843 (0.774) Data 0.001 (0.002) Loss 1.9392 (1.6192) Prec@1 47.500 (56.370) Prec@5 76.250 (84.784) Epoch: [83][10920/11272] Time 0.806 (0.774) Data 0.001 (0.002) Loss 1.7112 (1.6193) Prec@1 55.000 (56.369) Prec@5 85.625 (84.784) Epoch: [83][10930/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.6028 (1.6193) Prec@1 58.125 (56.369) Prec@5 87.500 (84.784) Epoch: [83][10940/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.6081 (1.6193) Prec@1 59.375 (56.368) Prec@5 85.000 (84.784) Epoch: [83][10950/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.7269 (1.6193) Prec@1 50.625 (56.366) Prec@5 83.125 (84.784) Epoch: [83][10960/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6085 (1.6194) Prec@1 53.750 (56.365) Prec@5 85.625 (84.783) Epoch: [83][10970/11272] Time 0.737 (0.774) Data 0.002 (0.002) Loss 1.5767 (1.6194) Prec@1 60.000 (56.364) Prec@5 86.250 (84.782) Epoch: [83][10980/11272] Time 0.694 (0.774) Data 0.001 (0.002) Loss 1.5797 (1.6194) Prec@1 55.000 (56.363) Prec@5 82.500 (84.783) Epoch: [83][10990/11272] Time 0.820 (0.774) Data 0.001 (0.002) Loss 1.6870 (1.6194) Prec@1 56.875 (56.365) Prec@5 81.875 (84.783) Epoch: [83][11000/11272] Time 0.798 (0.774) Data 0.001 (0.002) Loss 1.7054 (1.6194) Prec@1 46.250 (56.366) Prec@5 83.750 (84.783) Epoch: [83][11010/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6496 (1.6195) Prec@1 55.625 (56.364) Prec@5 85.000 (84.781) Epoch: [83][11020/11272] Time 0.863 (0.774) Data 0.002 (0.002) Loss 1.7342 (1.6195) Prec@1 52.500 (56.361) Prec@5 86.250 (84.780) Epoch: [83][11030/11272] Time 0.813 (0.774) Data 0.001 (0.002) Loss 1.8474 (1.6195) Prec@1 50.000 (56.360) Prec@5 85.625 (84.781) Epoch: [83][11040/11272] Time 0.730 (0.774) Data 0.001 (0.002) Loss 1.6077 (1.6196) Prec@1 53.750 (56.360) Prec@5 87.500 (84.780) Epoch: [83][11050/11272] Time 0.703 (0.774) Data 0.001 (0.002) Loss 1.4130 (1.6196) Prec@1 53.750 (56.358) Prec@5 88.125 (84.780) Epoch: [83][11060/11272] Time 0.807 (0.774) Data 0.001 (0.002) Loss 1.7613 (1.6196) Prec@1 55.000 (56.356) Prec@5 83.125 (84.778) Epoch: [83][11070/11272] Time 0.799 (0.774) Data 0.001 (0.002) Loss 1.4626 (1.6196) Prec@1 61.875 (56.357) Prec@5 87.500 (84.778) Epoch: [83][11080/11272] Time 0.719 (0.774) Data 0.001 (0.002) Loss 1.6833 (1.6197) Prec@1 58.750 (56.355) Prec@5 82.500 (84.777) Epoch: [83][11090/11272] Time 0.706 (0.774) Data 0.002 (0.002) Loss 1.7237 (1.6197) Prec@1 55.625 (56.356) Prec@5 85.000 (84.777) Epoch: [83][11100/11272] Time 0.809 (0.774) Data 0.001 (0.002) Loss 1.4220 (1.6197) Prec@1 60.625 (56.356) Prec@5 89.375 (84.778) Epoch: [83][11110/11272] Time 0.848 (0.774) Data 0.001 (0.002) Loss 1.6274 (1.6197) Prec@1 55.625 (56.357) Prec@5 85.000 (84.776) Epoch: [83][11120/11272] Time 0.732 (0.774) Data 0.001 (0.002) Loss 1.5828 (1.6198) Prec@1 58.125 (56.355) Prec@5 85.000 (84.775) Epoch: [83][11130/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.7133 (1.6198) Prec@1 55.000 (56.356) Prec@5 83.125 (84.776) Epoch: [83][11140/11272] Time 0.802 (0.774) Data 0.001 (0.002) Loss 1.5574 (1.6198) Prec@1 55.625 (56.354) Prec@5 88.750 (84.775) Epoch: [83][11150/11272] Time 0.723 (0.774) Data 0.003 (0.002) Loss 1.6385 (1.6199) Prec@1 55.625 (56.354) Prec@5 82.500 (84.775) Epoch: [83][11160/11272] Time 0.747 (0.774) Data 0.002 (0.002) Loss 1.7595 (1.6199) Prec@1 50.625 (56.354) Prec@5 83.125 (84.775) Epoch: [83][11170/11272] Time 0.880 (0.774) Data 0.002 (0.002) Loss 1.7420 (1.6200) Prec@1 51.250 (56.352) Prec@5 83.125 (84.774) Epoch: [83][11180/11272] Time 0.812 (0.774) Data 0.001 (0.002) Loss 1.6765 (1.6200) Prec@1 55.000 (56.351) Prec@5 83.125 (84.774) Epoch: [83][11190/11272] Time 0.698 (0.774) Data 0.001 (0.002) Loss 1.7177 (1.6200) Prec@1 53.125 (56.351) Prec@5 84.375 (84.774) Epoch: [83][11200/11272] Time 0.719 (0.774) Data 0.002 (0.002) Loss 1.7613 (1.6200) Prec@1 53.125 (56.350) Prec@5 80.000 (84.774) Epoch: [83][11210/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6493 (1.6200) Prec@1 53.125 (56.350) Prec@5 86.250 (84.774) Epoch: [83][11220/11272] Time 0.815 (0.774) Data 0.001 (0.002) Loss 1.7647 (1.6200) Prec@1 53.750 (56.350) Prec@5 81.875 (84.774) Epoch: [83][11230/11272] Time 0.722 (0.774) Data 0.001 (0.002) Loss 1.7647 (1.6200) Prec@1 55.000 (56.350) Prec@5 83.125 (84.773) Epoch: [83][11240/11272] Time 0.712 (0.774) Data 0.001 (0.002) Loss 1.5330 (1.6200) Prec@1 56.875 (56.349) Prec@5 86.250 (84.774) Epoch: [83][11250/11272] Time 0.824 (0.774) Data 0.002 (0.002) Loss 1.9035 (1.6200) Prec@1 51.875 (56.348) Prec@5 78.125 (84.774) Epoch: [83][11260/11272] Time 0.855 (0.774) Data 0.002 (0.002) Loss 1.6012 (1.6200) Prec@1 62.500 (56.349) Prec@5 83.750 (84.774) Epoch: [83][11270/11272] Time 0.678 (0.774) Data 0.000 (0.002) Loss 1.5633 (1.6200) Prec@1 59.375 (56.351) Prec@5 83.750 (84.773) Test: [0/229] Time 3.252 (3.252) Loss 1.0390 (1.0390) Prec@1 66.875 (66.875) Prec@5 96.250 (96.250) Test: [10/229] Time 0.418 (0.833) Loss 0.8846 (1.5550) Prec@1 74.375 (58.864) Prec@5 97.500 (87.955) Test: [20/229] Time 1.339 (0.752) Loss 1.9374 (1.6636) Prec@1 48.750 (55.208) Prec@5 82.500 (86.667) Test: [30/229] Time 0.355 (0.698) Loss 2.0597 (1.6075) Prec@1 40.625 (57.177) Prec@5 87.500 (87.278) Test: [40/229] Time 1.492 (0.697) Loss 0.4065 (1.5969) Prec@1 91.250 (57.287) Prec@5 95.000 (87.119) Test: [50/229] Time 0.325 (0.673) Loss 2.2943 (1.6556) Prec@1 36.250 (55.944) Prec@5 77.500 (86.017) Test: [60/229] Time 1.466 (0.675) Loss 2.0425 (1.6513) Prec@1 39.375 (55.922) Prec@5 83.750 (85.973) Test: [70/229] Time 0.319 (0.663) Loss 1.3015 (1.6691) Prec@1 72.500 (55.748) Prec@5 85.625 (85.783) Test: [80/229] Time 1.605 (0.668) Loss 2.2675 (1.6880) Prec@1 37.500 (54.969) Prec@5 83.125 (85.718) Test: [90/229] Time 0.399 (0.659) Loss 1.3012 (1.6973) Prec@1 70.625 (54.808) Prec@5 86.875 (85.694) Test: [100/229] Time 1.477 (0.660) Loss 2.2478 (1.6926) Prec@1 39.375 (55.099) Prec@5 83.750 (85.681) Test: [110/229] Time 0.418 (0.653) Loss 1.3384 (1.6760) Prec@1 63.750 (55.411) Prec@5 86.875 (85.777) Test: [120/229] Time 1.561 (0.655) Loss 2.9243 (1.7006) Prec@1 31.250 (54.830) Prec@5 74.375 (85.486) Test: [130/229] Time 0.384 (0.649) Loss 1.2515 (1.6816) Prec@1 61.875 (55.234) Prec@5 91.250 (85.663) Test: [140/229] Time 1.398 (0.651) Loss 1.8372 (1.6908) Prec@1 55.000 (55.000) Prec@5 84.375 (85.541) Test: [150/229] Time 0.390 (0.645) Loss 1.1302 (1.7040) Prec@1 73.125 (54.669) Prec@5 88.750 (85.356) Test: [160/229] Time 1.247 (0.649) Loss 1.7304 (1.7079) Prec@1 59.375 (54.542) Prec@5 85.625 (85.322) Test: [170/229] Time 0.342 (0.644) Loss 1.8051 (1.7210) Prec@1 50.000 (54.097) Prec@5 86.875 (85.172) Test: [180/229] Time 1.406 (0.647) Loss 2.3682 (1.7258) Prec@1 36.250 (54.075) Prec@5 73.125 (85.017) Test: [190/229] Time 0.331 (0.643) Loss 1.3113 (1.7156) Prec@1 63.125 (54.365) Prec@5 93.750 (85.124) Test: [200/229] Time 1.520 (0.645) Loss 1.8377 (1.7070) Prec@1 47.500 (54.422) Prec@5 80.000 (85.295) Test: [210/229] Time 0.319 (0.641) Loss 1.0538 (1.6964) Prec@1 70.625 (54.736) Prec@5 93.750 (85.415) Test: [220/229] Time 1.374 (0.642) Loss 1.7266 (1.6879) Prec@1 51.250 (55.028) Prec@5 88.125 (85.495) * Prec@1 55.326 Prec@5 85.524 Epoch: [84][0/11272] Time 4.720 (4.720) Data 3.897 (3.897) Loss 1.5753 (1.5753) Prec@1 55.625 (55.625) Prec@5 83.750 (83.750) Epoch: [84][10/11272] Time 0.733 (1.137) Data 0.001 (0.356) Loss 1.5548 (1.5926) Prec@1 62.500 (56.932) Prec@5 87.500 (85.114) Epoch: [84][20/11272] Time 0.827 (0.960) Data 0.002 (0.187) Loss 1.5586 (1.5942) Prec@1 58.125 (57.351) Prec@5 86.250 (85.149) Epoch: [84][30/11272] Time 0.830 (0.897) Data 0.001 (0.127) Loss 1.5552 (1.5758) Prec@1 56.875 (57.198) Prec@5 83.125 (85.403) Epoch: [84][40/11272] Time 0.685 (0.862) Data 0.001 (0.096) Loss 1.5560 (1.5742) Prec@1 57.500 (57.576) Prec@5 82.500 (85.320) Epoch: [84][50/11272] Time 0.694 (0.841) Data 0.001 (0.078) Loss 1.4358 (1.5686) Prec@1 63.750 (57.782) Prec@5 85.000 (85.245) Epoch: [84][60/11272] Time 0.814 (0.828) Data 0.001 (0.065) Loss 1.8083 (1.5723) Prec@1 50.625 (57.766) Prec@5 83.750 (85.113) Epoch: [84][70/11272] Time 0.781 (0.820) Data 0.001 (0.056) Loss 1.5099 (1.5650) Prec@1 58.750 (57.940) Prec@5 87.500 (85.317) Epoch: [84][80/11272] Time 0.713 (0.813) Data 0.001 (0.049) Loss 1.5517 (1.5742) Prec@1 58.125 (57.731) Prec@5 86.250 (85.131) Epoch: [84][90/11272] Time 0.852 (0.810) Data 0.001 (0.044) Loss 1.7583 (1.5734) Prec@1 53.750 (57.768) Prec@5 85.000 (85.144) Epoch: [84][100/11272] Time 0.858 (0.806) Data 0.001 (0.040) Loss 1.5742 (1.5709) Prec@1 54.375 (57.704) Prec@5 85.000 (85.235) Epoch: [84][110/11272] Time 0.722 (0.802) Data 0.001 (0.036) Loss 1.9472 (1.5720) Prec@1 51.875 (57.703) Prec@5 77.500 (85.298) Epoch: [84][120/11272] Time 0.706 (0.799) Data 0.001 (0.034) Loss 1.6393 (1.5740) Prec@1 57.500 (57.707) Prec@5 84.375 (85.201) Epoch: [84][130/11272] Time 0.825 (0.797) Data 0.001 (0.031) Loss 1.5973 (1.5784) Prec@1 57.500 (57.653) Prec@5 84.375 (85.134) Epoch: [84][140/11272] Time 0.821 (0.795) Data 0.001 (0.029) Loss 1.9014 (1.5775) Prec@1 53.125 (57.691) Prec@5 76.875 (85.120) Epoch: [84][150/11272] Time 0.739 (0.794) Data 0.002 (0.027) Loss 1.5244 (1.5760) Prec@1 56.250 (57.757) Prec@5 90.000 (85.170) Epoch: [84][160/11272] Time 0.717 (0.793) Data 0.001 (0.026) Loss 1.5375 (1.5726) Prec@1 60.625 (57.803) Prec@5 85.625 (85.194) Epoch: [84][170/11272] Time 0.828 (0.792) Data 0.001 (0.024) Loss 1.7427 (1.5726) Prec@1 47.500 (57.730) Prec@5 83.125 (85.227) Epoch: [84][180/11272] Time 0.817 (0.790) Data 0.001 (0.023) Loss 1.6184 (1.5733) Prec@1 55.625 (57.731) Prec@5 86.875 (85.214) Epoch: [84][190/11272] Time 0.717 (0.788) Data 0.001 (0.022) Loss 1.3732 (1.5695) Prec@1 63.125 (57.791) Prec@5 90.625 (85.265) Epoch: [84][200/11272] Time 0.700 (0.787) Data 0.001 (0.021) Loss 1.4396 (1.5701) Prec@1 62.500 (57.724) Prec@5 86.250 (85.227) Epoch: [84][210/11272] Time 0.843 (0.786) Data 0.001 (0.020) Loss 1.5464 (1.5713) Prec@1 59.375 (57.734) Prec@5 84.375 (85.225) Epoch: [84][220/11272] Time 0.694 (0.784) Data 0.003 (0.019) Loss 1.6749 (1.5691) Prec@1 51.875 (57.732) Prec@5 82.500 (85.280) Epoch: [84][230/11272] Time 0.711 (0.784) Data 0.001 (0.018) Loss 1.6928 (1.5719) Prec@1 55.625 (57.670) Prec@5 80.625 (85.230) Epoch: [84][240/11272] Time 0.817 (0.784) Data 0.001 (0.018) Loss 1.3794 (1.5706) Prec@1 59.375 (57.645) Prec@5 87.500 (85.296) Epoch: [84][250/11272] Time 0.813 (0.783) Data 0.002 (0.017) Loss 1.6966 (1.5724) Prec@1 53.125 (57.585) Prec@5 81.250 (85.251) Epoch: [84][260/11272] Time 0.701 (0.783) Data 0.001 (0.016) Loss 1.4976 (1.5727) Prec@1 58.750 (57.617) Prec@5 87.500 (85.292) Epoch: [84][270/11272] Time 0.719 (0.782) Data 0.001 (0.016) Loss 1.6409 (1.5735) Prec@1 58.125 (57.595) Prec@5 86.875 (85.286) Epoch: [84][280/11272] Time 0.839 (0.782) Data 0.001 (0.015) Loss 1.5971 (1.5736) Prec@1 58.750 (57.596) Prec@5 85.000 (85.311) Epoch: [84][290/11272] Time 0.831 (0.782) Data 0.001 (0.015) Loss 1.6616 (1.5745) Prec@1 58.125 (57.595) Prec@5 83.750 (85.301) Epoch: [84][300/11272] Time 0.711 (0.781) Data 0.001 (0.014) Loss 1.6106 (1.5762) Prec@1 56.875 (57.591) Prec@5 89.375 (85.270) Epoch: [84][310/11272] Time 0.719 (0.781) Data 0.002 (0.014) Loss 1.4507 (1.5764) Prec@1 59.375 (57.582) Prec@5 87.500 (85.275) Epoch: [84][320/11272] Time 0.818 (0.781) Data 0.001 (0.014) Loss 1.5525 (1.5787) Prec@1 60.625 (57.553) Prec@5 88.125 (85.232) Epoch: [84][330/11272] Time 0.838 (0.780) Data 0.001 (0.013) Loss 1.5701 (1.5810) Prec@1 61.250 (57.498) Prec@5 85.625 (85.204) Epoch: [84][340/11272] Time 0.716 (0.780) Data 0.001 (0.013) Loss 1.5977 (1.5802) Prec@1 56.875 (57.504) Prec@5 85.625 (85.235) Epoch: [84][350/11272] Time 0.805 (0.780) Data 0.001 (0.012) Loss 1.4368 (1.5808) Prec@1 58.750 (57.502) Prec@5 88.750 (85.249) Epoch: [84][360/11272] Time 0.827 (0.780) Data 0.001 (0.012) Loss 1.8133 (1.5817) Prec@1 50.625 (57.453) Prec@5 83.750 (85.251) Epoch: [84][370/11272] Time 0.713 (0.780) Data 0.001 (0.012) Loss 1.4175 (1.5824) Prec@1 57.500 (57.407) Prec@5 90.625 (85.286) Epoch: [84][380/11272] Time 0.723 (0.779) Data 0.001 (0.012) Loss 1.4329 (1.5816) Prec@1 61.875 (57.393) Prec@5 90.000 (85.303) Epoch: [84][390/11272] Time 0.800 (0.779) Data 0.001 (0.011) Loss 1.5320 (1.5806) Prec@1 56.250 (57.450) Prec@5 88.750 (85.326) Epoch: [84][400/11272] Time 0.864 (0.779) Data 0.002 (0.011) Loss 1.6836 (1.5808) Prec@1 53.125 (57.456) Prec@5 83.750 (85.318) Epoch: [84][410/11272] Time 0.700 (0.778) Data 0.001 (0.011) Loss 1.3654 (1.5798) Prec@1 61.875 (57.500) Prec@5 90.000 (85.351) Epoch: [84][420/11272] Time 0.713 (0.778) Data 0.001 (0.011) Loss 1.6304 (1.5802) Prec@1 60.625 (57.521) Prec@5 82.500 (85.346) Epoch: [84][430/11272] Time 0.863 (0.778) Data 0.002 (0.010) Loss 1.6509 (1.5812) Prec@1 60.000 (57.478) Prec@5 83.125 (85.320) Epoch: [84][440/11272] Time 0.815 (0.777) Data 0.001 (0.010) Loss 1.5958 (1.5819) Prec@1 54.375 (57.459) Prec@5 85.625 (85.298) Epoch: [84][450/11272] Time 0.702 (0.777) Data 0.001 (0.010) Loss 1.5495 (1.5827) Prec@1 58.750 (57.438) Prec@5 84.375 (85.281) Epoch: [84][460/11272] Time 0.715 (0.777) Data 0.001 (0.010) Loss 1.6477 (1.5838) Prec@1 53.750 (57.394) Prec@5 85.000 (85.252) Epoch: [84][470/11272] Time 0.826 (0.777) Data 0.001 (0.010) Loss 1.7525 (1.5841) Prec@1 58.750 (57.407) Prec@5 84.375 (85.264) Epoch: [84][480/11272] Time 0.716 (0.777) Data 0.003 (0.009) Loss 1.8845 (1.5848) Prec@1 46.875 (57.370) Prec@5 80.000 (85.251) Epoch: [84][490/11272] Time 0.706 (0.777) Data 0.001 (0.009) Loss 1.5610 (1.5857) Prec@1 55.625 (57.322) Prec@5 82.500 (85.242) Epoch: [84][500/11272] Time 0.824 (0.777) Data 0.002 (0.009) Loss 1.5496 (1.5855) Prec@1 61.875 (57.343) Prec@5 84.375 (85.235) Epoch: [84][510/11272] Time 0.812 (0.777) Data 0.001 (0.009) Loss 1.6396 (1.5862) Prec@1 56.875 (57.334) Prec@5 83.750 (85.232) Epoch: [84][520/11272] Time 0.707 (0.777) Data 0.001 (0.009) Loss 1.8850 (1.5877) Prec@1 48.750 (57.298) Prec@5 80.000 (85.211) Epoch: [84][530/11272] Time 0.713 (0.777) Data 0.002 (0.009) Loss 1.6012 (1.5884) Prec@1 54.375 (57.294) Prec@5 83.125 (85.193) Epoch: [84][540/11272] Time 0.828 (0.777) Data 0.001 (0.009) Loss 1.6112 (1.5886) Prec@1 55.625 (57.287) Prec@5 86.875 (85.196) Epoch: [84][550/11272] Time 0.805 (0.777) Data 0.001 (0.008) Loss 1.7196 (1.5878) Prec@1 56.250 (57.305) Prec@5 85.625 (85.209) Epoch: [84][560/11272] Time 0.711 (0.777) Data 0.001 (0.008) Loss 1.6008 (1.5859) Prec@1 58.125 (57.336) Prec@5 85.000 (85.242) Epoch: [84][570/11272] Time 0.714 (0.777) Data 0.001 (0.008) Loss 1.7244 (1.5861) Prec@1 47.500 (57.342) Prec@5 85.625 (85.234) Epoch: [84][580/11272] Time 0.822 (0.777) Data 0.001 (0.008) Loss 1.5369 (1.5870) Prec@1 57.500 (57.340) Prec@5 86.875 (85.212) Epoch: [84][590/11272] Time 0.864 (0.777) Data 0.002 (0.008) Loss 1.4052 (1.5870) Prec@1 60.000 (57.338) Prec@5 88.750 (85.204) Epoch: [84][600/11272] Time 0.728 (0.776) Data 0.001 (0.008) Loss 1.5975 (1.5864) Prec@1 59.375 (57.360) Prec@5 81.250 (85.203) Epoch: [84][610/11272] Time 0.812 (0.776) Data 0.001 (0.008) Loss 1.6583 (1.5883) Prec@1 59.375 (57.319) Prec@5 82.500 (85.170) Epoch: [84][620/11272] Time 0.798 (0.776) Data 0.001 (0.008) Loss 1.8303 (1.5891) Prec@1 48.125 (57.276) Prec@5 83.125 (85.171) Epoch: [84][630/11272] Time 0.716 (0.776) Data 0.001 (0.008) Loss 1.5455 (1.5893) Prec@1 54.375 (57.257) Prec@5 86.250 (85.166) Epoch: [84][640/11272] Time 0.716 (0.776) Data 0.001 (0.007) Loss 1.5445 (1.5883) Prec@1 61.875 (57.293) Prec@5 85.000 (85.177) Epoch: [84][650/11272] Time 0.846 (0.776) Data 0.002 (0.007) Loss 1.5505 (1.5878) Prec@1 54.375 (57.310) Prec@5 86.250 (85.200) Epoch: [84][660/11272] Time 0.815 (0.776) Data 0.001 (0.007) Loss 1.5644 (1.5877) Prec@1 58.750 (57.288) Prec@5 81.250 (85.195) Epoch: [84][670/11272] Time 0.714 (0.776) Data 0.001 (0.007) Loss 1.7433 (1.5880) Prec@1 55.625 (57.291) Prec@5 83.750 (85.204) Epoch: [84][680/11272] Time 0.711 (0.776) Data 0.001 (0.007) Loss 1.3729 (1.5877) Prec@1 64.375 (57.286) Prec@5 88.125 (85.220) Epoch: [84][690/11272] Time 0.815 (0.776) Data 0.002 (0.007) Loss 1.4981 (1.5874) Prec@1 57.500 (57.294) Prec@5 85.000 (85.217) Epoch: [84][700/11272] Time 0.801 (0.776) Data 0.001 (0.007) Loss 1.4677 (1.5857) Prec@1 60.000 (57.340) Prec@5 86.875 (85.238) Epoch: [84][710/11272] Time 0.708 (0.776) Data 0.001 (0.007) Loss 1.5414 (1.5850) Prec@1 55.000 (57.360) Prec@5 87.500 (85.252) Epoch: [84][720/11272] Time 0.758 (0.776) Data 0.001 (0.007) Loss 1.5390 (1.5858) Prec@1 57.500 (57.338) Prec@5 85.000 (85.240) Epoch: [84][730/11272] Time 0.838 (0.776) Data 0.001 (0.007) Loss 1.8537 (1.5859) Prec@1 53.750 (57.335) Prec@5 81.250 (85.255) Epoch: [84][740/11272] Time 0.794 (0.776) Data 0.001 (0.007) Loss 1.5073 (1.5861) Prec@1 55.625 (57.323) Prec@5 87.500 (85.260) Epoch: [84][750/11272] Time 0.716 (0.775) Data 0.001 (0.007) Loss 1.5544 (1.5858) Prec@1 59.375 (57.325) Prec@5 82.500 (85.275) Epoch: [84][760/11272] Time 0.783 (0.775) Data 0.001 (0.007) Loss 1.4946 (1.5855) Prec@1 62.500 (57.323) Prec@5 84.375 (85.288) Epoch: [84][770/11272] Time 0.789 (0.775) Data 0.001 (0.006) Loss 1.3085 (1.5852) Prec@1 63.125 (57.325) Prec@5 88.125 (85.281) Epoch: [84][780/11272] Time 0.705 (0.775) Data 0.002 (0.006) Loss 1.4453 (1.5859) Prec@1 63.750 (57.326) Prec@5 86.875 (85.282) Epoch: [84][790/11272] Time 0.722 (0.775) Data 0.001 (0.006) Loss 1.6078 (1.5865) Prec@1 55.000 (57.314) Prec@5 85.000 (85.268) Epoch: [84][800/11272] Time 0.820 (0.775) Data 0.001 (0.006) Loss 1.6496 (1.5867) Prec@1 59.375 (57.310) Prec@5 84.375 (85.265) Epoch: [84][810/11272] Time 0.851 (0.775) Data 0.001 (0.006) Loss 1.6231 (1.5867) Prec@1 57.500 (57.293) Prec@5 83.125 (85.264) Epoch: [84][820/11272] Time 0.787 (0.775) Data 0.001 (0.006) Loss 1.4891 (1.5870) Prec@1 55.625 (57.298) Prec@5 86.875 (85.257) Epoch: [84][830/11272] Time 0.743 (0.775) Data 0.001 (0.006) Loss 1.3676 (1.5872) Prec@1 63.750 (57.280) Prec@5 89.375 (85.256) Epoch: [84][840/11272] Time 0.810 (0.775) Data 0.001 (0.006) Loss 1.5068 (1.5876) Prec@1 65.000 (57.279) Prec@5 83.125 (85.247) Epoch: [84][850/11272] Time 0.801 (0.775) Data 0.001 (0.006) Loss 1.6767 (1.5865) Prec@1 55.000 (57.309) Prec@5 84.375 (85.264) Epoch: [84][860/11272] Time 0.727 (0.775) Data 0.002 (0.006) Loss 1.7108 (1.5871) Prec@1 60.000 (57.287) Prec@5 83.750 (85.263) Epoch: [84][870/11272] Time 0.726 (0.775) Data 0.001 (0.006) Loss 1.5536 (1.5872) Prec@1 60.625 (57.278) Prec@5 83.750 (85.259) Epoch: [84][880/11272] Time 0.810 (0.775) Data 0.001 (0.006) Loss 1.5817 (1.5868) Prec@1 53.750 (57.285) Prec@5 86.875 (85.272) Epoch: [84][890/11272] Time 0.728 (0.775) Data 0.002 (0.006) Loss 1.6289 (1.5865) Prec@1 56.875 (57.299) Prec@5 86.875 (85.279) Epoch: [84][900/11272] Time 0.720 (0.775) Data 0.002 (0.006) Loss 1.6603 (1.5871) Prec@1 53.125 (57.281) Prec@5 86.250 (85.277) Epoch: [84][910/11272] Time 0.836 (0.775) Data 0.002 (0.006) Loss 1.5310 (1.5879) Prec@1 61.250 (57.272) Prec@5 83.125 (85.246) Epoch: [84][920/11272] Time 0.801 (0.775) Data 0.001 (0.006) Loss 1.6752 (1.5878) Prec@1 56.250 (57.284) Prec@5 84.375 (85.240) Epoch: [84][930/11272] Time 0.723 (0.775) Data 0.001 (0.006) Loss 1.4914 (1.5875) Prec@1 58.125 (57.301) Prec@5 86.250 (85.243) Epoch: [84][940/11272] Time 0.723 (0.775) Data 0.002 (0.006) Loss 1.7107 (1.5876) Prec@1 56.250 (57.310) Prec@5 83.125 (85.250) Epoch: [84][950/11272] Time 0.792 (0.775) Data 0.001 (0.005) Loss 1.3455 (1.5880) Prec@1 57.500 (57.300) Prec@5 90.625 (85.246) Epoch: [84][960/11272] Time 0.832 (0.775) Data 0.001 (0.005) Loss 1.7386 (1.5882) Prec@1 50.000 (57.291) Prec@5 85.625 (85.243) Epoch: [84][970/11272] Time 0.690 (0.775) Data 0.001 (0.005) Loss 1.7799 (1.5891) Prec@1 55.000 (57.275) Prec@5 80.625 (85.227) Epoch: [84][980/11272] Time 0.718 (0.775) Data 0.002 (0.005) Loss 1.5705 (1.5899) Prec@1 61.875 (57.256) Prec@5 86.250 (85.202) Epoch: [84][990/11272] Time 0.839 (0.775) Data 0.002 (0.005) Loss 1.3667 (1.5904) Prec@1 61.875 (57.236) Prec@5 86.875 (85.192) Epoch: [84][1000/11272] Time 0.803 (0.775) Data 0.001 (0.005) Loss 1.6890 (1.5898) Prec@1 53.125 (57.250) Prec@5 81.250 (85.204) Epoch: [84][1010/11272] Time 0.708 (0.775) Data 0.001 (0.005) Loss 1.4152 (1.5891) Prec@1 61.250 (57.260) Prec@5 86.875 (85.209) Epoch: [84][1020/11272] Time 0.765 (0.775) Data 0.001 (0.005) Loss 1.6208 (1.5885) Prec@1 58.750 (57.262) Prec@5 81.875 (85.204) Epoch: [84][1030/11272] Time 0.844 (0.775) Data 0.001 (0.005) Loss 1.5099 (1.5887) Prec@1 59.375 (57.254) Prec@5 88.125 (85.198) Epoch: [84][1040/11272] Time 0.713 (0.775) Data 0.001 (0.005) Loss 1.7126 (1.5891) Prec@1 53.125 (57.235) Prec@5 85.625 (85.201) Epoch: [84][1050/11272] Time 0.729 (0.775) Data 0.001 (0.005) Loss 1.5305 (1.5883) Prec@1 58.125 (57.248) Prec@5 85.000 (85.221) Epoch: [84][1060/11272] Time 0.827 (0.775) Data 0.001 (0.005) Loss 1.6161 (1.5883) Prec@1 51.875 (57.254) Prec@5 88.125 (85.230) Epoch: [84][1070/11272] Time 0.808 (0.775) Data 0.001 (0.005) Loss 1.6008 (1.5883) Prec@1 55.625 (57.257) Prec@5 85.000 (85.227) Epoch: [84][1080/11272] Time 0.733 (0.775) Data 0.001 (0.005) Loss 1.2432 (1.5883) Prec@1 67.500 (57.250) Prec@5 91.250 (85.225) Epoch: [84][1090/11272] Time 0.719 (0.775) Data 0.001 (0.005) Loss 1.5955 (1.5884) Prec@1 53.750 (57.243) Prec@5 81.875 (85.226) Epoch: [84][1100/11272] Time 0.884 (0.775) Data 0.002 (0.005) Loss 1.7075 (1.5884) Prec@1 53.125 (57.245) Prec@5 83.750 (85.219) Epoch: [84][1110/11272] Time 0.826 (0.775) Data 0.001 (0.005) Loss 1.6868 (1.5885) Prec@1 56.875 (57.247) Prec@5 85.000 (85.219) Epoch: [84][1120/11272] Time 0.724 (0.775) Data 0.001 (0.005) Loss 1.3957 (1.5886) Prec@1 59.375 (57.239) Prec@5 88.750 (85.214) Epoch: [84][1130/11272] Time 0.727 (0.775) Data 0.001 (0.005) Loss 1.3158 (1.5883) Prec@1 62.500 (57.244) Prec@5 89.375 (85.219) Epoch: [84][1140/11272] Time 0.815 (0.775) Data 0.001 (0.005) Loss 1.6369 (1.5884) Prec@1 58.125 (57.240) Prec@5 83.125 (85.213) Epoch: [84][1150/11272] Time 0.714 (0.775) Data 0.003 (0.005) Loss 1.8060 (1.5888) Prec@1 52.500 (57.226) Prec@5 81.875 (85.211) Epoch: [84][1160/11272] Time 0.719 (0.775) Data 0.001 (0.005) Loss 1.8057 (1.5891) Prec@1 49.375 (57.215) Prec@5 81.250 (85.208) Epoch: [84][1170/11272] Time 0.808 (0.775) Data 0.001 (0.005) Loss 1.5382 (1.5895) Prec@1 59.375 (57.198) Prec@5 84.375 (85.204) Epoch: [84][1180/11272] Time 0.777 (0.775) Data 0.002 (0.005) Loss 1.4710 (1.5894) Prec@1 60.000 (57.197) Prec@5 86.875 (85.204) Epoch: [84][1190/11272] Time 0.711 (0.775) Data 0.001 (0.005) Loss 1.4122 (1.5899) Prec@1 60.625 (57.182) Prec@5 90.625 (85.202) Epoch: [84][1200/11272] Time 0.698 (0.775) Data 0.001 (0.005) Loss 1.5205 (1.5903) Prec@1 58.125 (57.176) Prec@5 85.625 (85.196) Epoch: [84][1210/11272] Time 0.818 (0.775) Data 0.001 (0.005) Loss 1.5100 (1.5903) Prec@1 56.250 (57.171) Prec@5 85.625 (85.197) Epoch: [84][1220/11272] Time 0.804 (0.774) Data 0.001 (0.005) Loss 1.3384 (1.5899) Prec@1 61.875 (57.168) Prec@5 89.375 (85.197) Epoch: [84][1230/11272] Time 0.787 (0.774) Data 0.003 (0.005) Loss 1.6047 (1.5897) Prec@1 56.250 (57.172) Prec@5 83.125 (85.205) Epoch: [84][1240/11272] Time 0.718 (0.774) Data 0.001 (0.005) Loss 1.4407 (1.5896) Prec@1 56.250 (57.163) Prec@5 86.875 (85.209) Epoch: [84][1250/11272] Time 0.836 (0.774) Data 0.001 (0.005) Loss 1.6219 (1.5893) Prec@1 51.250 (57.159) Prec@5 88.750 (85.217) Epoch: [84][1260/11272] Time 0.779 (0.774) Data 0.001 (0.004) Loss 1.7369 (1.5895) Prec@1 55.000 (57.158) Prec@5 83.750 (85.210) Epoch: [84][1270/11272] Time 0.721 (0.774) Data 0.001 (0.004) Loss 1.7413 (1.5901) Prec@1 52.500 (57.147) Prec@5 85.625 (85.199) Epoch: [84][1280/11272] Time 0.832 (0.774) Data 0.002 (0.004) Loss 1.5227 (1.5902) Prec@1 63.750 (57.159) Prec@5 86.875 (85.201) Epoch: [84][1290/11272] Time 0.817 (0.774) Data 0.001 (0.004) Loss 1.6352 (1.5907) Prec@1 56.875 (57.146) Prec@5 86.250 (85.198) Epoch: [84][1300/11272] Time 0.709 (0.774) Data 0.001 (0.004) Loss 1.6198 (1.5910) Prec@1 56.250 (57.141) Prec@5 84.375 (85.187) Epoch: [84][1310/11272] Time 0.714 (0.774) Data 0.002 (0.004) Loss 1.5910 (1.5913) Prec@1 53.750 (57.127) Prec@5 88.750 (85.192) Epoch: [84][1320/11272] Time 0.846 (0.774) Data 0.001 (0.004) Loss 1.5790 (1.5910) Prec@1 57.500 (57.144) Prec@5 87.500 (85.199) Epoch: [84][1330/11272] Time 0.808 (0.774) Data 0.001 (0.004) Loss 1.5880 (1.5910) Prec@1 56.250 (57.141) Prec@5 85.000 (85.200) Epoch: [84][1340/11272] Time 0.719 (0.774) Data 0.001 (0.004) Loss 1.6445 (1.5915) Prec@1 54.375 (57.127) Prec@5 83.750 (85.194) Epoch: [84][1350/11272] Time 0.721 (0.774) Data 0.001 (0.004) Loss 1.6510 (1.5919) Prec@1 55.625 (57.107) Prec@5 83.125 (85.189) Epoch: [84][1360/11272] Time 0.850 (0.774) Data 0.002 (0.004) Loss 1.6684 (1.5923) Prec@1 57.500 (57.094) Prec@5 85.000 (85.180) Epoch: [84][1370/11272] Time 0.806 (0.774) Data 0.001 (0.004) Loss 1.5674 (1.5920) Prec@1 56.875 (57.099) Prec@5 85.000 (85.180) Epoch: [84][1380/11272] Time 0.711 (0.774) Data 0.001 (0.004) Loss 1.5186 (1.5917) Prec@1 58.125 (57.097) Prec@5 87.500 (85.190) Epoch: [84][1390/11272] Time 0.696 (0.774) Data 0.001 (0.004) Loss 1.7006 (1.5925) Prec@1 54.375 (57.079) Prec@5 81.875 (85.177) Epoch: [84][1400/11272] Time 0.833 (0.774) Data 0.001 (0.004) Loss 1.5698 (1.5923) Prec@1 55.625 (57.080) Prec@5 86.250 (85.179) Epoch: [84][1410/11272] Time 0.680 (0.774) Data 0.002 (0.004) Loss 1.6880 (1.5926) Prec@1 56.875 (57.072) Prec@5 83.750 (85.177) Epoch: [84][1420/11272] Time 0.719 (0.774) Data 0.001 (0.004) Loss 1.5696 (1.5919) Prec@1 58.125 (57.087) Prec@5 83.750 (85.183) Epoch: [84][1430/11272] Time 0.873 (0.774) Data 0.002 (0.004) Loss 1.6408 (1.5917) Prec@1 55.000 (57.089) Prec@5 86.875 (85.187) Epoch: [84][1440/11272] Time 0.816 (0.774) Data 0.001 (0.004) Loss 1.6623 (1.5920) Prec@1 55.625 (57.081) Prec@5 83.125 (85.179) Epoch: [84][1450/11272] Time 0.700 (0.774) Data 0.001 (0.004) Loss 1.4410 (1.5920) Prec@1 63.125 (57.081) Prec@5 86.875 (85.177) Epoch: [84][1460/11272] Time 0.714 (0.774) Data 0.002 (0.004) Loss 1.4376 (1.5920) Prec@1 61.250 (57.088) Prec@5 90.000 (85.183) Epoch: [84][1470/11272] Time 0.805 (0.774) Data 0.001 (0.004) Loss 1.5627 (1.5923) Prec@1 58.750 (57.079) Prec@5 83.750 (85.173) Epoch: [84][1480/11272] Time 0.827 (0.774) Data 0.001 (0.004) Loss 1.4746 (1.5922) Prec@1 58.750 (57.081) Prec@5 88.125 (85.180) Epoch: [84][1490/11272] Time 0.720 (0.774) Data 0.001 (0.004) Loss 1.6047 (1.5923) Prec@1 53.125 (57.080) Prec@5 86.875 (85.174) Epoch: [84][1500/11272] Time 0.710 (0.774) Data 0.001 (0.004) Loss 1.5408 (1.5924) Prec@1 55.625 (57.071) Prec@5 82.500 (85.174) Epoch: [84][1510/11272] Time 0.814 (0.774) Data 0.001 (0.004) Loss 1.7268 (1.5924) Prec@1 50.625 (57.069) Prec@5 83.750 (85.172) Epoch: [84][1520/11272] Time 0.809 (0.774) Data 0.001 (0.004) Loss 1.4775 (1.5922) Prec@1 57.500 (57.074) Prec@5 88.750 (85.179) Epoch: [84][1530/11272] Time 0.710 (0.774) Data 0.001 (0.004) Loss 1.8832 (1.5923) Prec@1 48.750 (57.076) Prec@5 82.500 (85.174) Epoch: [84][1540/11272] Time 0.841 (0.774) Data 0.001 (0.004) Loss 1.4410 (1.5922) Prec@1 65.625 (57.075) Prec@5 86.875 (85.176) Epoch: [84][1550/11272] Time 0.811 (0.774) Data 0.001 (0.004) Loss 1.9602 (1.5923) Prec@1 50.625 (57.079) Prec@5 76.250 (85.170) Epoch: [84][1560/11272] Time 0.755 (0.774) Data 0.001 (0.004) Loss 1.6521 (1.5926) Prec@1 53.750 (57.071) Prec@5 83.125 (85.164) Epoch: [84][1570/11272] Time 0.720 (0.774) Data 0.001 (0.004) Loss 1.5456 (1.5924) Prec@1 52.500 (57.074) Prec@5 85.625 (85.167) Epoch: [84][1580/11272] Time 0.832 (0.774) Data 0.001 (0.004) Loss 1.5688 (1.5923) Prec@1 58.750 (57.078) Prec@5 83.125 (85.172) Epoch: [84][1590/11272] Time 0.823 (0.774) Data 0.001 (0.004) Loss 1.4647 (1.5925) Prec@1 59.375 (57.075) Prec@5 88.125 (85.163) Epoch: [84][1600/11272] Time 0.739 (0.774) Data 0.002 (0.004) Loss 1.7312 (1.5923) Prec@1 53.125 (57.072) Prec@5 82.500 (85.169) Epoch: [84][1610/11272] Time 0.708 (0.774) Data 0.001 (0.004) Loss 1.5694 (1.5924) Prec@1 61.875 (57.084) Prec@5 82.500 (85.168) Epoch: [84][1620/11272] Time 0.822 (0.774) Data 0.001 (0.004) Loss 1.6281 (1.5928) Prec@1 56.250 (57.078) Prec@5 86.250 (85.162) Epoch: [84][1630/11272] Time 0.812 (0.774) Data 0.001 (0.004) Loss 1.5985 (1.5928) Prec@1 58.125 (57.076) Prec@5 84.375 (85.165) Epoch: [84][1640/11272] Time 0.707 (0.774) Data 0.002 (0.004) Loss 1.4520 (1.5927) Prec@1 61.250 (57.073) Prec@5 87.500 (85.165) Epoch: [84][1650/11272] Time 0.704 (0.774) Data 0.001 (0.004) Loss 1.6286 (1.5925) Prec@1 61.250 (57.085) Prec@5 83.750 (85.167) Epoch: [84][1660/11272] Time 0.821 (0.774) Data 0.001 (0.004) Loss 1.4955 (1.5925) Prec@1 59.375 (57.081) Prec@5 88.125 (85.168) Epoch: [84][1670/11272] Time 0.851 (0.774) Data 0.002 (0.004) Loss 1.3876 (1.5928) Prec@1 61.875 (57.062) Prec@5 87.500 (85.168) Epoch: [84][1680/11272] Time 0.725 (0.774) Data 0.001 (0.004) Loss 1.6406 (1.5929) Prec@1 53.125 (57.059) Prec@5 86.875 (85.161) Epoch: [84][1690/11272] Time 0.863 (0.774) Data 0.001 (0.004) Loss 1.6929 (1.5930) Prec@1 53.750 (57.058) Prec@5 82.500 (85.158) Epoch: [84][1700/11272] Time 0.823 (0.774) Data 0.001 (0.004) Loss 1.6011 (1.5929) Prec@1 57.500 (57.061) Prec@5 83.750 (85.154) Epoch: [84][1710/11272] Time 0.718 (0.774) Data 0.002 (0.004) Loss 1.5840 (1.5935) Prec@1 55.000 (57.055) Prec@5 86.875 (85.146) Epoch: [84][1720/11272] Time 0.770 (0.774) Data 0.001 (0.004) Loss 1.5660 (1.5937) Prec@1 56.250 (57.049) Prec@5 86.250 (85.142) Epoch: [84][1730/11272] Time 0.836 (0.774) Data 0.001 (0.004) Loss 1.6868 (1.5937) Prec@1 54.375 (57.053) Prec@5 83.125 (85.146) Epoch: [84][1740/11272] Time 0.808 (0.774) Data 0.001 (0.004) Loss 1.7963 (1.5937) Prec@1 55.000 (57.047) Prec@5 79.375 (85.138) Epoch: [84][1750/11272] Time 0.736 (0.774) Data 0.002 (0.004) Loss 1.5702 (1.5942) Prec@1 58.750 (57.031) Prec@5 86.250 (85.135) Epoch: [84][1760/11272] Time 0.727 (0.774) Data 0.002 (0.004) Loss 1.5798 (1.5947) Prec@1 55.625 (57.023) Prec@5 85.000 (85.124) Epoch: [84][1770/11272] Time 0.847 (0.774) Data 0.002 (0.004) Loss 1.3544 (1.5945) Prec@1 68.125 (57.035) Prec@5 91.250 (85.130) Epoch: [84][1780/11272] Time 0.813 (0.774) Data 0.002 (0.004) Loss 1.6350 (1.5946) Prec@1 58.125 (57.040) Prec@5 86.250 (85.131) Epoch: [84][1790/11272] Time 0.732 (0.774) Data 0.001 (0.004) Loss 1.6313 (1.5945) Prec@1 58.125 (57.045) Prec@5 81.875 (85.134) Epoch: [84][1800/11272] Time 0.719 (0.774) Data 0.001 (0.004) Loss 1.4009 (1.5945) Prec@1 61.250 (57.044) Prec@5 88.750 (85.134) Epoch: [84][1810/11272] Time 0.840 (0.774) Data 0.001 (0.004) Loss 1.6765 (1.5944) Prec@1 59.375 (57.056) Prec@5 83.750 (85.140) Epoch: [84][1820/11272] Time 0.715 (0.774) Data 0.001 (0.004) Loss 1.7497 (1.5946) Prec@1 53.125 (57.051) Prec@5 83.125 (85.137) Epoch: [84][1830/11272] Time 0.712 (0.774) Data 0.001 (0.004) Loss 1.7235 (1.5951) Prec@1 56.250 (57.040) Prec@5 83.125 (85.131) Epoch: [84][1840/11272] Time 0.817 (0.774) Data 0.001 (0.004) Loss 1.5630 (1.5951) Prec@1 60.625 (57.040) Prec@5 85.000 (85.131) Epoch: [84][1850/11272] Time 0.882 (0.774) Data 0.001 (0.004) Loss 1.5947 (1.5954) Prec@1 58.750 (57.034) Prec@5 83.125 (85.123) Epoch: [84][1860/11272] Time 0.719 (0.774) Data 0.001 (0.003) Loss 1.5529 (1.5952) Prec@1 56.250 (57.045) Prec@5 85.625 (85.128) Epoch: [84][1870/11272] Time 0.738 (0.774) Data 0.002 (0.003) Loss 1.6970 (1.5951) Prec@1 56.875 (57.045) Prec@5 83.750 (85.130) Epoch: [84][1880/11272] Time 0.838 (0.774) Data 0.001 (0.003) Loss 2.0273 (1.5954) Prec@1 48.125 (57.037) Prec@5 78.750 (85.131) Epoch: [84][1890/11272] Time 0.769 (0.774) Data 0.001 (0.003) Loss 1.2778 (1.5953) Prec@1 60.000 (57.039) Prec@5 91.875 (85.130) Epoch: [84][1900/11272] Time 0.729 (0.774) Data 0.001 (0.003) Loss 1.5756 (1.5949) Prec@1 54.375 (57.046) Prec@5 88.125 (85.135) Epoch: [84][1910/11272] Time 0.718 (0.774) Data 0.001 (0.003) Loss 1.7466 (1.5948) Prec@1 49.375 (57.041) Prec@5 81.875 (85.137) Epoch: [84][1920/11272] Time 0.823 (0.774) Data 0.001 (0.003) Loss 1.6067 (1.5950) Prec@1 58.125 (57.040) Prec@5 80.000 (85.129) Epoch: [84][1930/11272] Time 0.821 (0.774) Data 0.001 (0.003) Loss 1.7649 (1.5947) Prec@1 55.625 (57.052) Prec@5 81.875 (85.134) Epoch: [84][1940/11272] Time 0.691 (0.774) Data 0.001 (0.003) Loss 1.5367 (1.5948) Prec@1 58.750 (57.048) Prec@5 83.750 (85.131) Epoch: [84][1950/11272] Time 0.779 (0.774) Data 0.001 (0.003) Loss 1.5756 (1.5951) Prec@1 57.500 (57.049) Prec@5 85.000 (85.120) Epoch: [84][1960/11272] Time 0.812 (0.774) Data 0.001 (0.003) Loss 1.7537 (1.5952) Prec@1 51.875 (57.044) Prec@5 81.875 (85.117) Epoch: [84][1970/11272] Time 0.704 (0.774) Data 0.002 (0.003) Loss 1.4187 (1.5951) Prec@1 60.625 (57.048) Prec@5 85.625 (85.116) Epoch: [84][1980/11272] Time 0.724 (0.774) Data 0.001 (0.003) Loss 1.6789 (1.5955) Prec@1 54.375 (57.040) Prec@5 87.500 (85.112) Epoch: [84][1990/11272] Time 0.821 (0.774) Data 0.001 (0.003) Loss 1.4674 (1.5956) Prec@1 56.875 (57.032) Prec@5 88.750 (85.110) Epoch: [84][2000/11272] Time 0.810 (0.774) Data 0.001 (0.003) Loss 1.6451 (1.5957) Prec@1 57.500 (57.030) Prec@5 86.250 (85.113) Epoch: [84][2010/11272] Time 0.726 (0.774) Data 0.001 (0.003) Loss 1.5133 (1.5955) Prec@1 57.500 (57.034) Prec@5 86.250 (85.121) Epoch: [84][2020/11272] Time 0.718 (0.774) Data 0.001 (0.003) Loss 1.5961 (1.5957) Prec@1 56.875 (57.036) Prec@5 85.000 (85.118) Epoch: [84][2030/11272] Time 0.809 (0.774) Data 0.001 (0.003) Loss 1.4922 (1.5958) Prec@1 58.125 (57.031) Prec@5 85.000 (85.119) Epoch: [84][2040/11272] Time 0.831 (0.774) Data 0.001 (0.003) Loss 1.8049 (1.5962) Prec@1 50.625 (57.015) Prec@5 78.750 (85.111) Epoch: [84][2050/11272] Time 0.718 (0.774) Data 0.001 (0.003) Loss 1.6094 (1.5963) Prec@1 59.375 (57.020) Prec@5 83.125 (85.113) Epoch: [84][2060/11272] Time 0.724 (0.774) Data 0.001 (0.003) Loss 1.6820 (1.5964) Prec@1 58.750 (57.019) Prec@5 82.500 (85.110) Epoch: [84][2070/11272] Time 0.808 (0.774) Data 0.001 (0.003) Loss 1.6533 (1.5965) Prec@1 60.625 (57.022) Prec@5 85.625 (85.112) Epoch: [84][2080/11272] Time 0.727 (0.774) Data 0.003 (0.003) Loss 1.6054 (1.5963) Prec@1 55.625 (57.036) Prec@5 85.625 (85.117) Epoch: [84][2090/11272] Time 0.705 (0.774) Data 0.001 (0.003) Loss 1.5088 (1.5963) Prec@1 59.375 (57.028) Prec@5 88.125 (85.113) Epoch: [84][2100/11272] Time 0.812 (0.774) Data 0.001 (0.003) Loss 1.5998 (1.5965) Prec@1 56.250 (57.027) Prec@5 84.375 (85.106) Epoch: [84][2110/11272] Time 0.846 (0.774) Data 0.001 (0.003) Loss 1.4597 (1.5963) Prec@1 60.625 (57.030) Prec@5 86.875 (85.110) Epoch: [84][2120/11272] Time 0.749 (0.774) Data 0.002 (0.003) Loss 1.5103 (1.5963) Prec@1 55.000 (57.026) Prec@5 88.750 (85.103) Epoch: [84][2130/11272] Time 0.698 (0.773) Data 0.001 (0.003) Loss 1.7414 (1.5964) Prec@1 52.500 (57.023) Prec@5 83.125 (85.102) Epoch: [84][2140/11272] Time 0.804 (0.774) Data 0.001 (0.003) Loss 1.6035 (1.5963) Prec@1 55.625 (57.023) Prec@5 86.250 (85.106) Epoch: [84][2150/11272] Time 0.810 (0.774) Data 0.001 (0.003) Loss 1.5093 (1.5958) Prec@1 57.500 (57.030) Prec@5 86.250 (85.120) Epoch: [84][2160/11272] Time 0.718 (0.774) Data 0.001 (0.003) Loss 1.6535 (1.5956) Prec@1 60.000 (57.034) Prec@5 83.750 (85.119) Epoch: [84][2170/11272] Time 0.720 (0.773) Data 0.001 (0.003) Loss 1.7585 (1.5958) Prec@1 48.125 (57.030) Prec@5 83.125 (85.114) Epoch: [84][2180/11272] Time 0.810 (0.773) Data 0.001 (0.003) Loss 1.4825 (1.5962) Prec@1 58.750 (57.020) Prec@5 90.000 (85.107) Epoch: [84][2190/11272] Time 0.840 (0.774) Data 0.001 (0.003) Loss 1.6146 (1.5963) Prec@1 59.375 (57.017) Prec@5 85.625 (85.106) Epoch: [84][2200/11272] Time 0.717 (0.774) Data 0.001 (0.003) Loss 1.4105 (1.5962) Prec@1 65.625 (57.018) Prec@5 87.500 (85.109) Epoch: [84][2210/11272] Time 0.858 (0.774) Data 0.002 (0.003) Loss 1.6206 (1.5967) Prec@1 55.625 (57.003) Prec@5 85.625 (85.102) Epoch: [84][2220/11272] Time 0.844 (0.774) Data 0.001 (0.003) Loss 1.5347 (1.5967) Prec@1 60.000 (56.998) Prec@5 85.625 (85.101) Epoch: [84][2230/11272] Time 0.697 (0.773) Data 0.001 (0.003) Loss 1.7275 (1.5965) Prec@1 59.375 (57.004) Prec@5 83.750 (85.104) Epoch: [84][2240/11272] Time 0.700 (0.773) Data 0.001 (0.003) Loss 1.6550 (1.5968) Prec@1 55.000 (56.999) Prec@5 81.250 (85.097) Epoch: [84][2250/11272] Time 0.802 (0.773) Data 0.001 (0.003) Loss 1.7805 (1.5969) Prec@1 55.625 (57.002) Prec@5 80.625 (85.099) Epoch: [84][2260/11272] Time 0.828 (0.773) Data 0.002 (0.003) Loss 1.7097 (1.5967) Prec@1 54.375 (57.007) Prec@5 80.625 (85.099) Epoch: [84][2270/11272] Time 0.730 (0.773) Data 0.001 (0.003) Loss 1.6981 (1.5969) Prec@1 53.125 (56.997) Prec@5 81.250 (85.094) Epoch: [84][2280/11272] Time 0.736 (0.773) Data 0.001 (0.003) Loss 1.6038 (1.5969) Prec@1 52.500 (56.998) Prec@5 85.625 (85.093) Epoch: [84][2290/11272] Time 0.824 (0.773) Data 0.001 (0.003) Loss 1.6203 (1.5969) Prec@1 53.750 (56.999) Prec@5 85.000 (85.093) Epoch: [84][2300/11272] Time 0.799 (0.773) Data 0.001 (0.003) Loss 1.5255 (1.5970) Prec@1 56.875 (56.997) Prec@5 88.750 (85.091) Epoch: [84][2310/11272] Time 0.692 (0.773) Data 0.001 (0.003) Loss 1.4640 (1.5971) Prec@1 53.750 (56.993) Prec@5 89.375 (85.091) Epoch: [84][2320/11272] Time 0.718 (0.773) Data 0.001 (0.003) Loss 1.6801 (1.5968) Prec@1 53.125 (56.998) Prec@5 82.500 (85.096) Epoch: [84][2330/11272] Time 0.818 (0.773) Data 0.001 (0.003) Loss 1.7746 (1.5967) Prec@1 51.875 (57.000) Prec@5 81.250 (85.096) Epoch: [84][2340/11272] Time 0.745 (0.773) Data 0.003 (0.003) Loss 1.7034 (1.5969) Prec@1 54.375 (57.000) Prec@5 82.500 (85.094) Epoch: [84][2350/11272] Time 0.704 (0.773) Data 0.001 (0.003) Loss 1.6244 (1.5967) Prec@1 56.875 (57.008) Prec@5 80.625 (85.096) Epoch: [84][2360/11272] Time 0.803 (0.773) Data 0.001 (0.003) Loss 1.5960 (1.5970) Prec@1 55.625 (57.001) Prec@5 86.250 (85.090) Epoch: [84][2370/11272] Time 0.843 (0.773) Data 0.001 (0.003) Loss 1.6424 (1.5973) Prec@1 53.750 (56.991) Prec@5 85.000 (85.084) Epoch: [84][2380/11272] Time 0.718 (0.773) Data 0.001 (0.003) Loss 1.7123 (1.5975) Prec@1 49.375 (56.985) Prec@5 83.750 (85.082) Epoch: [84][2390/11272] Time 0.718 (0.773) Data 0.001 (0.003) Loss 1.6146 (1.5977) Prec@1 56.250 (56.978) Prec@5 85.000 (85.076) Epoch: [84][2400/11272] Time 0.848 (0.773) Data 0.002 (0.003) Loss 1.4265 (1.5974) Prec@1 65.000 (56.990) Prec@5 86.250 (85.077) Epoch: [84][2410/11272] Time 0.802 (0.773) Data 0.001 (0.003) Loss 1.5870 (1.5976) Prec@1 59.375 (56.992) Prec@5 85.000 (85.073) Epoch: [84][2420/11272] Time 0.711 (0.773) Data 0.001 (0.003) Loss 1.6549 (1.5976) Prec@1 55.000 (56.989) Prec@5 84.375 (85.075) Epoch: [84][2430/11272] Time 0.752 (0.773) Data 0.001 (0.003) Loss 1.6837 (1.5975) Prec@1 53.125 (56.991) Prec@5 84.375 (85.073) Epoch: [84][2440/11272] Time 0.858 (0.773) Data 0.002 (0.003) Loss 1.8938 (1.5974) Prec@1 48.750 (56.990) Prec@5 81.875 (85.074) Epoch: [84][2450/11272] Time 0.799 (0.773) Data 0.001 (0.003) Loss 1.5786 (1.5976) Prec@1 61.250 (56.991) Prec@5 85.000 (85.075) Epoch: [84][2460/11272] Time 0.750 (0.773) Data 0.002 (0.003) Loss 1.6249 (1.5976) Prec@1 54.375 (56.994) Prec@5 87.500 (85.074) Epoch: [84][2470/11272] Time 0.782 (0.773) Data 0.001 (0.003) Loss 1.4596 (1.5979) Prec@1 63.125 (56.985) Prec@5 83.750 (85.068) Epoch: [84][2480/11272] Time 0.798 (0.773) Data 0.001 (0.003) Loss 1.4811 (1.5978) Prec@1 56.250 (56.983) Prec@5 88.125 (85.064) Epoch: [84][2490/11272] Time 0.716 (0.773) Data 0.002 (0.003) Loss 1.5834 (1.5981) Prec@1 54.375 (56.975) Prec@5 85.625 (85.058) Epoch: [84][2500/11272] Time 0.741 (0.773) Data 0.002 (0.003) Loss 1.4710 (1.5981) Prec@1 55.625 (56.976) Prec@5 89.375 (85.055) Epoch: [84][2510/11272] Time 0.910 (0.773) Data 0.001 (0.003) Loss 1.7584 (1.5980) Prec@1 53.750 (56.982) Prec@5 87.500 (85.058) Epoch: [84][2520/11272] Time 0.811 (0.773) Data 0.001 (0.003) Loss 1.6218 (1.5980) Prec@1 53.125 (56.984) Prec@5 85.625 (85.060) Epoch: [84][2530/11272] Time 0.699 (0.773) Data 0.001 (0.003) Loss 1.6532 (1.5977) Prec@1 53.125 (56.990) Prec@5 85.625 (85.065) Epoch: [84][2540/11272] Time 0.727 (0.773) Data 0.002 (0.003) Loss 1.8396 (1.5979) Prec@1 53.125 (56.985) Prec@5 80.000 (85.066) Epoch: [84][2550/11272] Time 0.804 (0.773) Data 0.001 (0.003) Loss 1.5934 (1.5981) Prec@1 59.375 (56.984) Prec@5 84.375 (85.060) Epoch: [84][2560/11272] Time 0.828 (0.773) Data 0.001 (0.003) Loss 1.4147 (1.5979) Prec@1 63.125 (56.990) Prec@5 87.500 (85.062) Epoch: [84][2570/11272] Time 0.711 (0.773) Data 0.001 (0.003) Loss 1.5952 (1.5978) Prec@1 56.250 (56.988) Prec@5 88.125 (85.068) Epoch: [84][2580/11272] Time 0.718 (0.773) Data 0.001 (0.003) Loss 1.8157 (1.5977) Prec@1 53.125 (56.986) Prec@5 81.250 (85.071) Epoch: [84][2590/11272] Time 0.843 (0.773) Data 0.002 (0.003) Loss 1.6748 (1.5974) Prec@1 56.250 (56.998) Prec@5 82.500 (85.075) Epoch: [84][2600/11272] Time 0.812 (0.773) Data 0.002 (0.003) Loss 1.5538 (1.5974) Prec@1 59.375 (56.994) Prec@5 85.625 (85.074) Epoch: [84][2610/11272] Time 0.702 (0.773) Data 0.001 (0.003) Loss 1.4741 (1.5975) Prec@1 63.750 (56.990) Prec@5 86.250 (85.076) Epoch: [84][2620/11272] Time 0.836 (0.773) Data 0.001 (0.003) Loss 1.5292 (1.5975) Prec@1 55.625 (56.985) Prec@5 86.875 (85.077) Epoch: [84][2630/11272] Time 0.828 (0.773) Data 0.001 (0.003) Loss 1.1959 (1.5975) Prec@1 67.500 (56.980) Prec@5 92.500 (85.073) Epoch: [84][2640/11272] Time 0.710 (0.773) Data 0.001 (0.003) Loss 1.4366 (1.5977) Prec@1 59.375 (56.973) Prec@5 86.875 (85.072) Epoch: [84][2650/11272] Time 0.703 (0.773) Data 0.001 (0.003) Loss 1.6637 (1.5975) Prec@1 55.000 (56.970) Prec@5 85.000 (85.077) Epoch: [84][2660/11272] Time 0.803 (0.773) Data 0.001 (0.003) Loss 1.5563 (1.5974) Prec@1 55.625 (56.973) Prec@5 83.125 (85.078) Epoch: [84][2670/11272] Time 0.837 (0.773) Data 0.001 (0.003) Loss 1.7011 (1.5977) Prec@1 53.125 (56.963) Prec@5 84.375 (85.078) Epoch: [84][2680/11272] Time 0.706 (0.773) Data 0.002 (0.003) Loss 1.4365 (1.5976) Prec@1 60.625 (56.965) Prec@5 85.000 (85.082) Epoch: [84][2690/11272] Time 0.724 (0.773) Data 0.001 (0.003) Loss 1.8707 (1.5976) Prec@1 49.375 (56.961) Prec@5 79.375 (85.082) Epoch: [84][2700/11272] Time 0.825 (0.773) Data 0.001 (0.003) Loss 1.5307 (1.5974) Prec@1 60.000 (56.964) Prec@5 86.250 (85.088) Epoch: [84][2710/11272] Time 0.797 (0.773) Data 0.001 (0.003) Loss 1.6304 (1.5976) Prec@1 58.125 (56.956) Prec@5 81.875 (85.085) Epoch: [84][2720/11272] Time 0.703 (0.773) Data 0.001 (0.003) Loss 1.8186 (1.5974) Prec@1 52.500 (56.960) Prec@5 81.875 (85.091) Epoch: [84][2730/11272] Time 0.706 (0.773) Data 0.001 (0.003) Loss 1.5224 (1.5973) Prec@1 54.375 (56.961) Prec@5 88.750 (85.091) Epoch: [84][2740/11272] Time 0.796 (0.773) Data 0.001 (0.003) Loss 1.7342 (1.5974) Prec@1 55.625 (56.957) Prec@5 84.375 (85.093) Epoch: [84][2750/11272] Time 0.744 (0.773) Data 0.002 (0.003) Loss 1.5688 (1.5975) Prec@1 56.875 (56.953) Prec@5 89.375 (85.094) Epoch: [84][2760/11272] Time 0.701 (0.773) Data 0.001 (0.003) Loss 1.5535 (1.5972) Prec@1 56.250 (56.961) Prec@5 85.625 (85.097) Epoch: [84][2770/11272] Time 0.853 (0.773) Data 0.002 (0.003) Loss 1.7090 (1.5973) Prec@1 53.750 (56.956) Prec@5 82.500 (85.097) Epoch: [84][2780/11272] Time 0.801 (0.773) Data 0.001 (0.003) Loss 1.7843 (1.5973) Prec@1 50.625 (56.954) Prec@5 85.625 (85.098) Epoch: [84][2790/11272] Time 0.725 (0.773) Data 0.002 (0.003) Loss 1.5146 (1.5975) Prec@1 55.000 (56.945) Prec@5 89.375 (85.098) Epoch: [84][2800/11272] Time 0.726 (0.773) Data 0.002 (0.003) Loss 1.5696 (1.5976) Prec@1 59.375 (56.945) Prec@5 84.375 (85.097) Epoch: [84][2810/11272] Time 0.801 (0.773) Data 0.001 (0.003) Loss 1.5781 (1.5977) Prec@1 55.625 (56.935) Prec@5 85.625 (85.093) Epoch: [84][2820/11272] Time 0.832 (0.773) Data 0.001 (0.003) Loss 1.5725 (1.5979) Prec@1 51.250 (56.928) Prec@5 85.000 (85.091) Epoch: [84][2830/11272] Time 0.714 (0.773) Data 0.001 (0.003) Loss 1.5833 (1.5979) Prec@1 60.625 (56.926) Prec@5 83.125 (85.091) Epoch: [84][2840/11272] Time 0.719 (0.773) Data 0.001 (0.003) Loss 1.7996 (1.5979) Prec@1 50.625 (56.926) Prec@5 82.500 (85.092) Epoch: [84][2850/11272] Time 0.812 (0.773) Data 0.001 (0.003) Loss 1.9228 (1.5981) Prec@1 49.375 (56.918) Prec@5 80.000 (85.091) Epoch: [84][2860/11272] Time 0.791 (0.773) Data 0.001 (0.003) Loss 1.5587 (1.5980) Prec@1 60.625 (56.921) Prec@5 85.000 (85.090) Epoch: [84][2870/11272] Time 0.721 (0.773) Data 0.001 (0.003) Loss 1.7236 (1.5982) Prec@1 50.625 (56.918) Prec@5 83.125 (85.086) Epoch: [84][2880/11272] Time 0.865 (0.773) Data 0.001 (0.003) Loss 1.5065 (1.5983) Prec@1 53.750 (56.917) Prec@5 88.125 (85.086) Epoch: [84][2890/11272] Time 0.846 (0.773) Data 0.001 (0.003) Loss 1.5887 (1.5982) Prec@1 54.375 (56.920) Prec@5 84.375 (85.089) Epoch: [84][2900/11272] Time 0.716 (0.773) Data 0.001 (0.003) Loss 1.5634 (1.5982) Prec@1 56.250 (56.920) Prec@5 85.000 (85.087) Epoch: [84][2910/11272] Time 0.713 (0.773) Data 0.001 (0.003) Loss 1.7834 (1.5984) Prec@1 56.875 (56.919) Prec@5 81.250 (85.085) Epoch: [84][2920/11272] Time 0.847 (0.773) Data 0.001 (0.003) Loss 1.4813 (1.5983) Prec@1 63.125 (56.925) Prec@5 87.500 (85.088) Epoch: [84][2930/11272] Time 0.887 (0.773) Data 0.002 (0.003) Loss 1.6165 (1.5984) Prec@1 56.250 (56.920) Prec@5 84.375 (85.087) Epoch: [84][2940/11272] Time 0.720 (0.773) Data 0.001 (0.003) Loss 1.7387 (1.5985) Prec@1 55.625 (56.919) Prec@5 86.250 (85.088) Epoch: [84][2950/11272] Time 0.705 (0.773) Data 0.001 (0.003) Loss 1.5946 (1.5984) Prec@1 56.875 (56.916) Prec@5 83.750 (85.087) Epoch: [84][2960/11272] Time 0.813 (0.773) Data 0.001 (0.003) Loss 1.5107 (1.5985) Prec@1 64.375 (56.919) Prec@5 87.500 (85.087) Epoch: [84][2970/11272] Time 0.851 (0.773) Data 0.002 (0.003) Loss 1.4568 (1.5985) Prec@1 60.000 (56.917) Prec@5 86.250 (85.088) Epoch: [84][2980/11272] Time 0.709 (0.773) Data 0.001 (0.003) Loss 1.6509 (1.5986) Prec@1 58.125 (56.912) Prec@5 84.375 (85.089) Epoch: [84][2990/11272] Time 0.715 (0.773) Data 0.001 (0.003) Loss 1.6243 (1.5986) Prec@1 58.125 (56.911) Prec@5 83.125 (85.085) Epoch: [84][3000/11272] Time 0.824 (0.773) Data 0.001 (0.003) Loss 1.6295 (1.5984) Prec@1 61.250 (56.915) Prec@5 81.875 (85.085) Epoch: [84][3010/11272] Time 0.704 (0.773) Data 0.001 (0.003) Loss 1.6310 (1.5985) Prec@1 56.250 (56.914) Prec@5 85.000 (85.082) Epoch: [84][3020/11272] Time 0.737 (0.773) Data 0.001 (0.003) Loss 1.6971 (1.5985) Prec@1 55.625 (56.915) Prec@5 83.125 (85.083) Epoch: [84][3030/11272] Time 0.845 (0.773) Data 0.001 (0.003) Loss 1.2656 (1.5985) Prec@1 66.875 (56.917) Prec@5 87.500 (85.081) Epoch: [84][3040/11272] Time 0.811 (0.773) Data 0.001 (0.003) Loss 1.3923 (1.5986) Prec@1 60.000 (56.917) Prec@5 86.875 (85.076) Epoch: [84][3050/11272] Time 0.728 (0.773) Data 0.001 (0.003) Loss 1.4987 (1.5986) Prec@1 58.125 (56.918) Prec@5 88.125 (85.074) Epoch: [84][3060/11272] Time 0.738 (0.773) Data 0.002 (0.003) Loss 1.5382 (1.5987) Prec@1 53.750 (56.912) Prec@5 90.625 (85.075) Epoch: [84][3070/11272] Time 0.799 (0.773) Data 0.001 (0.003) Loss 1.3300 (1.5986) Prec@1 63.125 (56.910) Prec@5 89.375 (85.075) Epoch: [84][3080/11272] Time 0.811 (0.773) Data 0.001 (0.003) Loss 1.4934 (1.5987) Prec@1 59.375 (56.908) Prec@5 88.750 (85.073) Epoch: [84][3090/11272] Time 0.709 (0.773) Data 0.001 (0.003) Loss 1.7361 (1.5990) Prec@1 50.000 (56.906) Prec@5 82.500 (85.068) Epoch: [84][3100/11272] Time 0.731 (0.773) Data 0.002 (0.003) Loss 1.4822 (1.5989) Prec@1 61.250 (56.906) Prec@5 88.125 (85.069) Epoch: [84][3110/11272] Time 0.847 (0.773) Data 0.002 (0.003) Loss 1.6565 (1.5990) Prec@1 55.000 (56.907) Prec@5 88.125 (85.068) Epoch: [84][3120/11272] Time 0.843 (0.773) Data 0.001 (0.003) Loss 1.4196 (1.5987) Prec@1 62.500 (56.913) Prec@5 86.250 (85.071) Epoch: [84][3130/11272] Time 0.708 (0.773) Data 0.001 (0.003) Loss 1.6183 (1.5987) Prec@1 63.125 (56.918) Prec@5 85.000 (85.072) Epoch: [84][3140/11272] Time 0.819 (0.773) Data 0.001 (0.003) Loss 1.5223 (1.5986) Prec@1 59.375 (56.919) Prec@5 86.250 (85.075) Epoch: [84][3150/11272] Time 0.861 (0.773) Data 0.002 (0.003) Loss 1.6364 (1.5987) Prec@1 56.875 (56.916) Prec@5 88.125 (85.074) Epoch: [84][3160/11272] Time 0.717 (0.773) Data 0.001 (0.003) Loss 1.7038 (1.5987) Prec@1 53.750 (56.919) Prec@5 83.750 (85.073) Epoch: [84][3170/11272] Time 0.724 (0.773) Data 0.001 (0.003) Loss 1.8020 (1.5987) Prec@1 53.125 (56.919) Prec@5 83.750 (85.074) Epoch: [84][3180/11272] Time 0.849 (0.773) Data 0.001 (0.003) Loss 1.4837 (1.5986) Prec@1 55.625 (56.918) Prec@5 87.500 (85.075) Epoch: [84][3190/11272] Time 0.818 (0.773) Data 0.001 (0.003) Loss 1.3882 (1.5986) Prec@1 63.125 (56.918) Prec@5 89.375 (85.075) Epoch: [84][3200/11272] Time 0.717 (0.773) Data 0.001 (0.003) Loss 1.5565 (1.5986) Prec@1 57.500 (56.917) Prec@5 85.625 (85.073) Epoch: [84][3210/11272] Time 0.727 (0.773) Data 0.001 (0.003) Loss 1.6221 (1.5988) Prec@1 50.000 (56.916) Prec@5 88.750 (85.069) Epoch: [84][3220/11272] Time 0.823 (0.773) Data 0.001 (0.003) Loss 1.5144 (1.5986) Prec@1 63.750 (56.919) Prec@5 86.250 (85.071) Epoch: [84][3230/11272] Time 0.825 (0.773) Data 0.001 (0.003) Loss 1.7610 (1.5987) Prec@1 52.500 (56.914) Prec@5 80.625 (85.068) Epoch: [84][3240/11272] Time 0.720 (0.773) Data 0.001 (0.003) Loss 1.6611 (1.5989) Prec@1 60.625 (56.908) Prec@5 88.125 (85.068) Epoch: [84][3250/11272] Time 0.713 (0.773) Data 0.001 (0.003) Loss 1.5439 (1.5987) Prec@1 57.500 (56.912) Prec@5 83.750 (85.070) Epoch: [84][3260/11272] Time 0.807 (0.773) Data 0.001 (0.003) Loss 1.5183 (1.5989) Prec@1 56.250 (56.904) Prec@5 86.250 (85.069) Epoch: [84][3270/11272] Time 0.717 (0.773) Data 0.003 (0.003) Loss 1.8054 (1.5989) Prec@1 52.500 (56.901) Prec@5 80.000 (85.071) Epoch: [84][3280/11272] Time 0.711 (0.773) Data 0.001 (0.003) Loss 1.9260 (1.5991) Prec@1 46.875 (56.897) Prec@5 80.000 (85.071) Epoch: [84][3290/11272] Time 0.817 (0.773) Data 0.001 (0.003) Loss 1.6156 (1.5994) Prec@1 55.000 (56.888) Prec@5 86.250 (85.067) Epoch: [84][3300/11272] Time 0.789 (0.773) Data 0.001 (0.003) Loss 1.7394 (1.5994) Prec@1 52.500 (56.891) Prec@5 86.250 (85.071) Epoch: [84][3310/11272] Time 0.722 (0.773) Data 0.002 (0.003) Loss 1.6661 (1.5994) Prec@1 53.750 (56.890) Prec@5 83.125 (85.071) Epoch: [84][3320/11272] Time 0.717 (0.773) Data 0.001 (0.003) Loss 1.6799 (1.5994) Prec@1 61.875 (56.893) Prec@5 83.750 (85.072) Epoch: [84][3330/11272] Time 0.807 (0.773) Data 0.001 (0.003) Loss 1.5576 (1.5993) Prec@1 60.625 (56.895) Prec@5 82.500 (85.069) Epoch: [84][3340/11272] Time 0.794 (0.773) Data 0.001 (0.003) Loss 1.4315 (1.5994) Prec@1 60.625 (56.896) Prec@5 87.500 (85.068) Epoch: [84][3350/11272] Time 0.773 (0.773) Data 0.002 (0.003) Loss 1.3369 (1.5991) Prec@1 59.375 (56.900) Prec@5 91.250 (85.074) Epoch: [84][3360/11272] Time 0.711 (0.773) Data 0.001 (0.003) Loss 1.4762 (1.5989) Prec@1 58.125 (56.905) Prec@5 85.625 (85.076) Epoch: [84][3370/11272] Time 0.811 (0.773) Data 0.001 (0.003) Loss 1.4413 (1.5988) Prec@1 61.250 (56.904) Prec@5 86.875 (85.078) Epoch: [84][3380/11272] Time 0.822 (0.773) Data 0.001 (0.003) Loss 1.5104 (1.5988) Prec@1 60.000 (56.905) Prec@5 86.250 (85.075) Epoch: [84][3390/11272] Time 0.717 (0.773) Data 0.001 (0.003) Loss 1.4872 (1.5990) Prec@1 56.250 (56.899) Prec@5 86.250 (85.075) Epoch: [84][3400/11272] Time 0.798 (0.773) Data 0.001 (0.003) Loss 1.4939 (1.5987) Prec@1 59.375 (56.906) Prec@5 85.625 (85.080) Epoch: [84][3410/11272] Time 0.823 (0.773) Data 0.002 (0.003) Loss 1.7607 (1.5987) Prec@1 53.750 (56.907) Prec@5 80.625 (85.078) Epoch: [84][3420/11272] Time 0.706 (0.773) Data 0.001 (0.003) Loss 1.6451 (1.5986) Prec@1 56.250 (56.909) Prec@5 81.875 (85.084) Epoch: [84][3430/11272] Time 0.715 (0.773) Data 0.001 (0.003) Loss 1.8617 (1.5987) Prec@1 50.000 (56.904) Prec@5 78.750 (85.083) Epoch: [84][3440/11272] Time 0.816 (0.773) Data 0.001 (0.003) Loss 1.5582 (1.5989) Prec@1 55.000 (56.896) Prec@5 87.500 (85.082) Epoch: [84][3450/11272] Time 0.834 (0.773) Data 0.001 (0.003) Loss 1.7470 (1.5991) Prec@1 53.125 (56.892) Prec@5 81.250 (85.077) Epoch: [84][3460/11272] Time 0.719 (0.773) Data 0.002 (0.003) Loss 1.4120 (1.5991) Prec@1 61.250 (56.892) Prec@5 90.000 (85.080) Epoch: [84][3470/11272] Time 0.745 (0.773) Data 0.001 (0.003) Loss 1.5634 (1.5994) Prec@1 50.000 (56.881) Prec@5 86.250 (85.078) Epoch: [84][3480/11272] Time 0.810 (0.773) Data 0.001 (0.003) Loss 1.5177 (1.5996) Prec@1 56.875 (56.875) Prec@5 88.750 (85.076) Epoch: [84][3490/11272] Time 0.820 (0.773) Data 0.001 (0.003) Loss 1.7042 (1.5996) Prec@1 55.000 (56.876) Prec@5 84.375 (85.075) Epoch: [84][3500/11272] Time 0.709 (0.773) Data 0.001 (0.003) Loss 1.6756 (1.5996) Prec@1 61.250 (56.877) Prec@5 86.250 (85.076) Epoch: [84][3510/11272] Time 0.690 (0.773) Data 0.001 (0.003) Loss 1.6324 (1.5996) Prec@1 55.000 (56.874) Prec@5 85.000 (85.075) Epoch: [84][3520/11272] Time 0.828 (0.773) Data 0.001 (0.003) Loss 1.6334 (1.5993) Prec@1 58.125 (56.882) Prec@5 82.500 (85.080) Epoch: [84][3530/11272] Time 0.812 (0.773) Data 0.001 (0.003) Loss 1.5550 (1.5994) Prec@1 56.875 (56.879) Prec@5 86.875 (85.078) Epoch: [84][3540/11272] Time 0.712 (0.773) Data 0.001 (0.003) Loss 1.5485 (1.5995) Prec@1 55.625 (56.875) Prec@5 86.250 (85.077) Epoch: [84][3550/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.5331 (1.5995) Prec@1 55.625 (56.874) Prec@5 86.250 (85.078) Epoch: [84][3560/11272] Time 0.799 (0.773) Data 0.001 (0.002) Loss 1.4368 (1.5994) Prec@1 61.875 (56.877) Prec@5 87.500 (85.078) Epoch: [84][3570/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.5765 (1.5994) Prec@1 57.500 (56.880) Prec@5 83.125 (85.079) Epoch: [84][3580/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.5564 (1.5995) Prec@1 59.375 (56.878) Prec@5 85.000 (85.076) Epoch: [84][3590/11272] Time 0.843 (0.773) Data 0.001 (0.002) Loss 1.7277 (1.5996) Prec@1 55.000 (56.875) Prec@5 82.500 (85.074) Epoch: [84][3600/11272] Time 0.828 (0.773) Data 0.001 (0.002) Loss 1.7206 (1.5997) Prec@1 53.750 (56.873) Prec@5 83.125 (85.072) Epoch: [84][3610/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.5793 (1.5997) Prec@1 53.750 (56.870) Prec@5 87.500 (85.075) Epoch: [84][3620/11272] Time 0.725 (0.773) Data 0.002 (0.002) Loss 1.5754 (1.5996) Prec@1 58.125 (56.871) Prec@5 84.375 (85.076) Epoch: [84][3630/11272] Time 0.827 (0.773) Data 0.001 (0.002) Loss 1.5716 (1.5998) Prec@1 60.625 (56.864) Prec@5 85.000 (85.072) Epoch: [84][3640/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.3752 (1.5997) Prec@1 65.000 (56.865) Prec@5 89.375 (85.072) Epoch: [84][3650/11272] Time 0.746 (0.773) Data 0.002 (0.002) Loss 1.5657 (1.5997) Prec@1 56.250 (56.866) Prec@5 86.250 (85.073) Epoch: [84][3660/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.5513 (1.5997) Prec@1 58.750 (56.866) Prec@5 85.000 (85.075) Epoch: [84][3670/11272] Time 0.836 (0.773) Data 0.002 (0.002) Loss 1.6916 (1.5998) Prec@1 54.375 (56.865) Prec@5 83.125 (85.070) Epoch: [84][3680/11272] Time 0.706 (0.773) Data 0.001 (0.002) Loss 1.5552 (1.5998) Prec@1 60.000 (56.863) Prec@5 83.750 (85.069) Epoch: [84][3690/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.5020 (1.5999) Prec@1 62.500 (56.862) Prec@5 84.375 (85.066) Epoch: [84][3700/11272] Time 0.832 (0.773) Data 0.001 (0.002) Loss 1.7473 (1.6001) Prec@1 54.375 (56.857) Prec@5 82.500 (85.065) Epoch: [84][3710/11272] Time 0.861 (0.773) Data 0.002 (0.002) Loss 1.3416 (1.6000) Prec@1 65.000 (56.862) Prec@5 88.125 (85.066) Epoch: [84][3720/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.5631 (1.6000) Prec@1 55.000 (56.857) Prec@5 83.125 (85.066) Epoch: [84][3730/11272] Time 0.720 (0.773) Data 0.001 (0.002) Loss 1.6711 (1.6001) Prec@1 50.625 (56.856) Prec@5 83.750 (85.065) Epoch: [84][3740/11272] Time 0.833 (0.773) Data 0.002 (0.002) Loss 1.6027 (1.6001) Prec@1 56.875 (56.854) Prec@5 86.875 (85.066) Epoch: [84][3750/11272] Time 0.794 (0.773) Data 0.001 (0.002) Loss 1.7171 (1.6001) Prec@1 53.125 (56.853) Prec@5 80.625 (85.064) Epoch: [84][3760/11272] Time 0.727 (0.773) Data 0.001 (0.002) Loss 1.7802 (1.6002) Prec@1 48.125 (56.852) Prec@5 86.875 (85.062) Epoch: [84][3770/11272] Time 0.718 (0.773) Data 0.002 (0.002) Loss 1.6725 (1.6003) Prec@1 54.375 (56.852) Prec@5 82.500 (85.061) Epoch: [84][3780/11272] Time 0.810 (0.773) Data 0.001 (0.002) Loss 1.8103 (1.6003) Prec@1 60.000 (56.854) Prec@5 77.500 (85.060) Epoch: [84][3790/11272] Time 0.792 (0.773) Data 0.001 (0.002) Loss 1.5639 (1.6005) Prec@1 54.375 (56.849) Prec@5 86.250 (85.057) Epoch: [84][3800/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6201 (1.6005) Prec@1 56.250 (56.845) Prec@5 88.125 (85.058) Epoch: [84][3810/11272] Time 0.817 (0.773) Data 0.001 (0.002) Loss 1.7648 (1.6006) Prec@1 55.000 (56.840) Prec@5 82.500 (85.057) Epoch: [84][3820/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.7479 (1.6008) Prec@1 51.875 (56.835) Prec@5 85.000 (85.056) Epoch: [84][3830/11272] Time 0.736 (0.773) Data 0.002 (0.002) Loss 1.5184 (1.6008) Prec@1 58.125 (56.835) Prec@5 85.000 (85.056) Epoch: [84][3840/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.7914 (1.6010) Prec@1 52.500 (56.833) Prec@5 81.250 (85.051) Epoch: [84][3850/11272] Time 0.846 (0.773) Data 0.001 (0.002) Loss 1.5390 (1.6011) Prec@1 58.750 (56.833) Prec@5 83.750 (85.049) Epoch: [84][3860/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.4400 (1.6011) Prec@1 62.500 (56.833) Prec@5 83.750 (85.047) Epoch: [84][3870/11272] Time 0.719 (0.773) Data 0.001 (0.002) Loss 1.7471 (1.6012) Prec@1 52.500 (56.825) Prec@5 84.375 (85.046) Epoch: [84][3880/11272] Time 0.730 (0.773) Data 0.001 (0.002) Loss 1.6462 (1.6012) Prec@1 56.875 (56.823) Prec@5 85.625 (85.049) Epoch: [84][3890/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.6651 (1.6012) Prec@1 52.500 (56.823) Prec@5 86.875 (85.050) Epoch: [84][3900/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.6657 (1.6011) Prec@1 54.375 (56.827) Prec@5 82.500 (85.049) Epoch: [84][3910/11272] Time 0.738 (0.773) Data 0.002 (0.002) Loss 1.8146 (1.6013) Prec@1 53.125 (56.822) Prec@5 86.250 (85.045) Epoch: [84][3920/11272] Time 0.723 (0.773) Data 0.001 (0.002) Loss 1.7972 (1.6012) Prec@1 56.875 (56.823) Prec@5 79.375 (85.044) Epoch: [84][3930/11272] Time 0.811 (0.773) Data 0.001 (0.002) Loss 1.4911 (1.6014) Prec@1 61.875 (56.820) Prec@5 84.375 (85.040) Epoch: [84][3940/11272] Time 0.695 (0.773) Data 0.003 (0.002) Loss 1.8609 (1.6014) Prec@1 49.375 (56.821) Prec@5 81.250 (85.040) Epoch: [84][3950/11272] Time 0.705 (0.773) Data 0.002 (0.002) Loss 1.5810 (1.6012) Prec@1 58.750 (56.828) Prec@5 86.250 (85.045) Epoch: [84][3960/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.6069 (1.6012) Prec@1 58.750 (56.828) Prec@5 83.750 (85.046) Epoch: [84][3970/11272] Time 0.835 (0.773) Data 0.002 (0.002) Loss 1.4783 (1.6011) Prec@1 57.500 (56.830) Prec@5 86.875 (85.043) Epoch: [84][3980/11272] Time 0.708 (0.773) Data 0.001 (0.002) Loss 1.6385 (1.6011) Prec@1 58.125 (56.833) Prec@5 83.750 (85.047) Epoch: [84][3990/11272] Time 0.731 (0.773) Data 0.001 (0.002) Loss 1.4727 (1.6011) Prec@1 60.625 (56.836) Prec@5 86.250 (85.045) Epoch: [84][4000/11272] Time 0.811 (0.773) Data 0.001 (0.002) Loss 1.6069 (1.6012) Prec@1 55.625 (56.829) Prec@5 81.250 (85.042) Epoch: [84][4010/11272] Time 0.848 (0.773) Data 0.002 (0.002) Loss 1.8245 (1.6014) Prec@1 48.125 (56.824) Prec@5 83.125 (85.039) Epoch: [84][4020/11272] Time 0.711 (0.773) Data 0.001 (0.002) Loss 1.4577 (1.6013) Prec@1 61.875 (56.826) Prec@5 86.875 (85.041) Epoch: [84][4030/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.6053 (1.6014) Prec@1 62.500 (56.824) Prec@5 85.000 (85.037) Epoch: [84][4040/11272] Time 0.836 (0.773) Data 0.001 (0.002) Loss 1.3222 (1.6015) Prec@1 63.750 (56.823) Prec@5 90.000 (85.036) Epoch: [84][4050/11272] Time 0.823 (0.773) Data 0.001 (0.002) Loss 1.8276 (1.6017) Prec@1 52.500 (56.819) Prec@5 83.125 (85.036) Epoch: [84][4060/11272] Time 0.717 (0.773) Data 0.001 (0.002) Loss 1.7509 (1.6018) Prec@1 50.625 (56.814) Prec@5 85.000 (85.032) Epoch: [84][4070/11272] Time 0.807 (0.773) Data 0.001 (0.002) Loss 1.4896 (1.6019) Prec@1 58.125 (56.809) Prec@5 88.750 (85.030) Epoch: [84][4080/11272] Time 0.805 (0.773) Data 0.001 (0.002) Loss 1.3680 (1.6020) Prec@1 62.500 (56.810) Prec@5 88.125 (85.027) Epoch: [84][4090/11272] Time 0.725 (0.773) Data 0.001 (0.002) Loss 1.6709 (1.6024) Prec@1 54.375 (56.799) Prec@5 83.125 (85.022) Epoch: [84][4100/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.6342 (1.6024) Prec@1 58.125 (56.798) Prec@5 85.000 (85.021) Epoch: [84][4110/11272] Time 0.833 (0.773) Data 0.001 (0.002) Loss 1.7305 (1.6025) Prec@1 55.625 (56.792) Prec@5 81.250 (85.021) Epoch: [84][4120/11272] Time 0.847 (0.773) Data 0.002 (0.002) Loss 1.7236 (1.6024) Prec@1 53.125 (56.795) Prec@5 83.750 (85.025) Epoch: [84][4130/11272] Time 0.698 (0.773) Data 0.001 (0.002) Loss 1.9255 (1.6024) Prec@1 47.500 (56.792) Prec@5 77.500 (85.024) Epoch: [84][4140/11272] Time 0.698 (0.773) Data 0.001 (0.002) Loss 1.4092 (1.6024) Prec@1 57.500 (56.793) Prec@5 89.375 (85.023) Epoch: [84][4150/11272] Time 0.820 (0.773) Data 0.001 (0.002) Loss 1.6899 (1.6025) Prec@1 57.500 (56.793) Prec@5 79.375 (85.018) Epoch: [84][4160/11272] Time 0.841 (0.773) Data 0.001 (0.002) Loss 1.6622 (1.6025) Prec@1 58.750 (56.795) Prec@5 86.250 (85.021) Epoch: [84][4170/11272] Time 0.714 (0.773) Data 0.001 (0.002) Loss 1.6629 (1.6027) Prec@1 59.375 (56.789) Prec@5 84.375 (85.018) Epoch: [84][4180/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.6713 (1.6028) Prec@1 53.750 (56.791) Prec@5 84.375 (85.017) Epoch: [84][4190/11272] Time 0.832 (0.773) Data 0.002 (0.002) Loss 1.5937 (1.6029) Prec@1 56.875 (56.789) Prec@5 85.000 (85.016) Epoch: [84][4200/11272] Time 0.708 (0.773) Data 0.003 (0.002) Loss 1.6230 (1.6029) Prec@1 53.750 (56.787) Prec@5 85.625 (85.017) Epoch: [84][4210/11272] Time 0.712 (0.773) Data 0.001 (0.002) Loss 1.5877 (1.6030) Prec@1 55.625 (56.789) Prec@5 82.500 (85.015) Epoch: [84][4220/11272] Time 0.822 (0.773) Data 0.001 (0.002) Loss 1.5428 (1.6031) Prec@1 57.500 (56.786) Prec@5 88.125 (85.013) Epoch: [84][4230/11272] Time 0.809 (0.773) Data 0.001 (0.002) Loss 1.5883 (1.6031) Prec@1 58.125 (56.784) Prec@5 85.625 (85.015) Epoch: [84][4240/11272] Time 0.729 (0.773) Data 0.001 (0.002) Loss 1.6837 (1.6031) Prec@1 54.375 (56.781) Prec@5 84.375 (85.016) Epoch: [84][4250/11272] Time 0.709 (0.773) Data 0.001 (0.002) Loss 1.5673 (1.6031) Prec@1 61.875 (56.783) Prec@5 85.000 (85.016) Epoch: [84][4260/11272] Time 0.814 (0.773) Data 0.001 (0.002) Loss 1.6362 (1.6030) Prec@1 55.625 (56.782) Prec@5 85.625 (85.016) Epoch: [84][4270/11272] Time 0.818 (0.773) Data 0.001 (0.002) Loss 1.5842 (1.6030) Prec@1 53.125 (56.779) Prec@5 87.500 (85.017) Epoch: [84][4280/11272] Time 0.744 (0.773) Data 0.001 (0.002) Loss 1.4136 (1.6032) Prec@1 60.000 (56.776) Prec@5 88.750 (85.014) Epoch: [84][4290/11272] Time 0.715 (0.773) Data 0.001 (0.002) Loss 1.8099 (1.6033) Prec@1 51.250 (56.769) Prec@5 82.500 (85.012) Epoch: [84][4300/11272] Time 0.849 (0.773) Data 0.002 (0.002) Loss 1.6301 (1.6033) Prec@1 53.750 (56.768) Prec@5 84.375 (85.011) Epoch: [84][4310/11272] Time 0.817 (0.773) Data 0.002 (0.002) Loss 1.3927 (1.6032) Prec@1 62.500 (56.772) Prec@5 88.750 (85.013) Epoch: [84][4320/11272] Time 0.707 (0.773) Data 0.001 (0.002) Loss 1.5693 (1.6034) Prec@1 53.750 (56.770) Prec@5 87.500 (85.010) Epoch: [84][4330/11272] Time 0.848 (0.773) Data 0.002 (0.002) Loss 1.6691 (1.6034) Prec@1 59.375 (56.776) Prec@5 84.375 (85.011) Epoch: [84][4340/11272] Time 0.815 (0.773) Data 0.001 (0.002) Loss 1.4116 (1.6033) Prec@1 62.500 (56.779) Prec@5 88.750 (85.013) Epoch: [84][4350/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.7762 (1.6032) Prec@1 49.375 (56.778) Prec@5 83.125 (85.015) Epoch: [84][4360/11272] Time 0.704 (0.773) Data 0.001 (0.002) Loss 1.6457 (1.6031) Prec@1 59.375 (56.782) Prec@5 86.250 (85.016) Epoch: [84][4370/11272] Time 0.842 (0.773) Data 0.001 (0.002) Loss 1.5083 (1.6031) Prec@1 59.375 (56.776) Prec@5 86.875 (85.018) Epoch: [84][4380/11272] Time 0.824 (0.773) Data 0.001 (0.002) Loss 1.7410 (1.6031) Prec@1 53.750 (56.777) Prec@5 83.750 (85.018) Epoch: [84][4390/11272] Time 0.717 (0.773) Data 0.002 (0.002) Loss 1.7598 (1.6033) Prec@1 56.875 (56.773) Prec@5 83.125 (85.014) Epoch: [84][4400/11272] Time 0.710 (0.773) Data 0.001 (0.002) Loss 1.5834 (1.6032) Prec@1 58.125 (56.775) Prec@5 84.375 (85.017) Epoch: [84][4410/11272] Time 0.827 (0.773) Data 0.001 (0.002) Loss 1.5190 (1.6032) Prec@1 63.750 (56.777) Prec@5 84.375 (85.018) Epoch: [84][4420/11272] Time 0.779 (0.772) Data 0.001 (0.002) Loss 1.7197 (1.6031) Prec@1 55.625 (56.776) Prec@5 82.500 (85.019) Epoch: [84][4430/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.5526 (1.6032) Prec@1 58.750 (56.777) Prec@5 88.125 (85.016) Epoch: [84][4440/11272] Time 0.707 (0.772) Data 0.001 (0.002) Loss 1.5397 (1.6033) Prec@1 60.000 (56.776) Prec@5 86.875 (85.015) Epoch: [84][4450/11272] Time 0.825 (0.772) Data 0.001 (0.002) Loss 1.6966 (1.6032) Prec@1 58.125 (56.778) Prec@5 81.250 (85.017) Epoch: [84][4460/11272] Time 0.837 (0.772) Data 0.002 (0.002) Loss 1.8043 (1.6033) Prec@1 54.375 (56.776) Prec@5 80.625 (85.016) Epoch: [84][4470/11272] Time 0.722 (0.772) Data 0.001 (0.002) Loss 1.6083 (1.6035) Prec@1 55.625 (56.772) Prec@5 86.875 (85.013) Epoch: [84][4480/11272] Time 0.864 (0.773) Data 0.001 (0.002) Loss 1.7163 (1.6035) Prec@1 55.625 (56.772) Prec@5 80.625 (85.013) Epoch: [84][4490/11272] Time 0.804 (0.772) Data 0.001 (0.002) Loss 1.5024 (1.6033) Prec@1 58.750 (56.776) Prec@5 88.125 (85.016) Epoch: [84][4500/11272] Time 0.705 (0.772) Data 0.001 (0.002) Loss 1.6097 (1.6033) Prec@1 58.125 (56.774) Prec@5 85.000 (85.017) Epoch: [84][4510/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.5789 (1.6034) Prec@1 56.250 (56.772) Prec@5 86.250 (85.016) Epoch: [84][4520/11272] Time 0.810 (0.772) Data 0.001 (0.002) Loss 1.6089 (1.6034) Prec@1 56.875 (56.773) Prec@5 84.375 (85.017) Epoch: [84][4530/11272] Time 0.843 (0.772) Data 0.001 (0.002) Loss 1.7187 (1.6033) Prec@1 50.625 (56.774) Prec@5 79.375 (85.018) Epoch: [84][4540/11272] Time 0.709 (0.772) Data 0.001 (0.002) Loss 1.7022 (1.6033) Prec@1 52.500 (56.777) Prec@5 81.250 (85.017) Epoch: [84][4550/11272] Time 0.751 (0.772) Data 0.001 (0.002) Loss 1.5620 (1.6033) Prec@1 58.125 (56.777) Prec@5 85.625 (85.015) Epoch: [84][4560/11272] Time 0.840 (0.772) Data 0.001 (0.002) Loss 1.4474 (1.6034) Prec@1 60.625 (56.774) Prec@5 85.625 (85.015) Epoch: [84][4570/11272] Time 0.815 (0.773) Data 0.001 (0.002) Loss 1.7707 (1.6032) Prec@1 45.625 (56.778) Prec@5 85.625 (85.018) Epoch: [84][4580/11272] Time 0.706 (0.772) Data 0.001 (0.002) Loss 1.6276 (1.6034) Prec@1 58.125 (56.771) Prec@5 85.000 (85.015) Epoch: [84][4590/11272] Time 0.702 (0.772) Data 0.001 (0.002) Loss 1.6649 (1.6034) Prec@1 53.125 (56.769) Prec@5 83.750 (85.015) Epoch: [84][4600/11272] Time 0.804 (0.772) Data 0.001 (0.002) Loss 1.5066 (1.6033) Prec@1 58.750 (56.771) Prec@5 86.250 (85.018) Epoch: [84][4610/11272] Time 0.712 (0.772) Data 0.001 (0.002) Loss 1.5325 (1.6033) Prec@1 59.375 (56.771) Prec@5 83.750 (85.014) Epoch: [84][4620/11272] Time 0.716 (0.772) Data 0.001 (0.002) Loss 1.7803 (1.6034) Prec@1 56.250 (56.768) Prec@5 81.250 (85.014) Epoch: [84][4630/11272] Time 0.947 (0.772) Data 0.001 (0.002) Loss 1.6283 (1.6035) Prec@1 55.000 (56.768) Prec@5 86.250 (85.011) Epoch: [84][4640/11272] Time 0.825 (0.772) Data 0.001 (0.002) Loss 1.6278 (1.6035) Prec@1 56.875 (56.770) Prec@5 85.000 (85.008) Epoch: [84][4650/11272] Time 0.704 (0.772) Data 0.001 (0.002) Loss 1.6148 (1.6035) Prec@1 55.625 (56.770) Prec@5 82.500 (85.008) Epoch: [84][4660/11272] Time 0.705 (0.772) Data 0.001 (0.002) Loss 1.4950 (1.6036) Prec@1 54.375 (56.769) Prec@5 86.875 (85.008) Epoch: [84][4670/11272] Time 0.852 (0.772) Data 0.001 (0.002) Loss 1.4269 (1.6037) Prec@1 60.000 (56.765) Prec@5 89.375 (85.007) Epoch: [84][4680/11272] Time 0.833 (0.772) Data 0.001 (0.002) Loss 1.6247 (1.6039) Prec@1 57.500 (56.761) Prec@5 85.000 (85.004) Epoch: [84][4690/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.5340 (1.6039) Prec@1 52.500 (56.761) Prec@5 86.875 (85.004) Epoch: [84][4700/11272] Time 0.719 (0.772) Data 0.001 (0.002) Loss 1.6431 (1.6039) Prec@1 52.500 (56.758) Prec@5 85.000 (85.004) Epoch: [84][4710/11272] Time 0.815 (0.772) Data 0.001 (0.002) Loss 1.5592 (1.6040) Prec@1 58.125 (56.757) Prec@5 86.250 (85.004) Epoch: [84][4720/11272] Time 0.808 (0.772) Data 0.001 (0.002) Loss 1.5855 (1.6039) Prec@1 61.875 (56.763) Prec@5 88.750 (85.007) Epoch: [84][4730/11272] Time 0.692 (0.772) Data 0.001 (0.002) Loss 1.7189 (1.6039) Prec@1 51.875 (56.761) Prec@5 83.750 (85.008) Epoch: [84][4740/11272] Time 0.786 (0.772) Data 0.001 (0.002) Loss 1.2415 (1.6038) Prec@1 65.000 (56.760) Prec@5 92.500 (85.008) Epoch: [84][4750/11272] Time 0.824 (0.772) Data 0.001 (0.002) Loss 1.6161 (1.6037) Prec@1 56.250 (56.763) Prec@5 84.375 (85.015) Epoch: [84][4760/11272] Time 0.711 (0.772) Data 0.001 (0.002) Loss 1.5910 (1.6037) Prec@1 54.375 (56.762) Prec@5 85.000 (85.013) Epoch: [84][4770/11272] Time 0.698 (0.772) Data 0.001 (0.002) Loss 1.8305 (1.6037) Prec@1 52.500 (56.762) Prec@5 79.375 (85.013) Epoch: [84][4780/11272] Time 0.824 (0.772) Data 0.001 (0.002) Loss 1.6081 (1.6038) Prec@1 56.875 (56.761) Prec@5 86.250 (85.010) Epoch: [84][4790/11272] Time 0.788 (0.772) Data 0.001 (0.002) Loss 1.7547 (1.6037) Prec@1 55.000 (56.760) Prec@5 83.750 (85.012) Epoch: [84][4800/11272] Time 0.740 (0.772) Data 0.002 (0.002) Loss 1.5556 (1.6037) Prec@1 62.500 (56.763) Prec@5 86.250 (85.011) Epoch: [84][4810/11272] Time 0.742 (0.772) Data 0.001 (0.002) Loss 1.5748 (1.6039) Prec@1 56.875 (56.760) Prec@5 83.750 (85.008) Epoch: [84][4820/11272] Time 0.841 (0.772) Data 0.001 (0.002) Loss 1.4281 (1.6039) Prec@1 61.250 (56.759) Prec@5 88.750 (85.007) Epoch: [84][4830/11272] Time 0.810 (0.772) Data 0.001 (0.002) Loss 1.6958 (1.6039) Prec@1 55.625 (56.758) Prec@5 83.125 (85.008) Epoch: [84][4840/11272] Time 0.708 (0.772) Data 0.001 (0.002) Loss 1.5872 (1.6039) Prec@1 61.875 (56.761) Prec@5 86.250 (85.008) Epoch: [84][4850/11272] Time 0.714 (0.772) Data 0.001 (0.002) Loss 1.3100 (1.6039) Prec@1 65.625 (56.763) Prec@5 90.000 (85.008) Epoch: [84][4860/11272] Time 0.810 (0.772) Data 0.002 (0.002) Loss 1.6866 (1.6040) Prec@1 52.500 (56.762) Prec@5 81.875 (85.006) Epoch: [84][4870/11272] Time 0.734 (0.772) Data 0.003 (0.002) Loss 1.7018 (1.6041) Prec@1 55.625 (56.763) Prec@5 80.625 (85.004) Epoch: [84][4880/11272] Time 0.736 (0.772) Data 0.002 (0.002) Loss 1.6070 (1.6041) Prec@1 56.250 (56.763) Prec@5 85.625 (85.003) Epoch: [84][4890/11272] Time 0.892 (0.772) Data 0.002 (0.002) Loss 1.6287 (1.6040) Prec@1 54.375 (56.762) Prec@5 85.625 (85.007) Epoch: [84][4900/11272] Time 0.826 (0.772) Data 0.002 (0.002) Loss 1.3905 (1.6039) Prec@1 56.875 (56.764) Prec@5 90.000 (85.008) Epoch: [84][4910/11272] Time 0.736 (0.773) Data 0.002 (0.002) Loss 1.8078 (1.6041) Prec@1 51.250 (56.762) Prec@5 84.375 (85.004) Epoch: [84][4920/11272] Time 0.745 (0.773) Data 0.002 (0.002) Loss 1.8683 (1.6042) Prec@1 45.625 (56.758) Prec@5 81.875 (85.002) Epoch: [84][4930/11272] Time 0.892 (0.773) Data 0.002 (0.002) Loss 1.5597 (1.6042) Prec@1 57.500 (56.759) Prec@5 84.375 (85.001) Epoch: [84][4940/11272] Time 0.875 (0.773) Data 0.004 (0.002) Loss 1.9643 (1.6043) Prec@1 43.125 (56.754) Prec@5 79.375 (85.000) Epoch: [84][4950/11272] Time 0.754 (0.773) Data 0.001 (0.002) Loss 1.3279 (1.6044) Prec@1 63.125 (56.757) Prec@5 89.375 (85.000) Epoch: [84][4960/11272] Time 0.775 (0.773) Data 0.002 (0.002) Loss 1.7442 (1.6044) Prec@1 57.500 (56.755) Prec@5 82.500 (84.999) Epoch: [84][4970/11272] Time 0.887 (0.773) Data 0.001 (0.002) Loss 1.5353 (1.6044) Prec@1 58.125 (56.756) Prec@5 85.625 (84.998) Epoch: [84][4980/11272] Time 0.799 (0.773) Data 0.002 (0.002) Loss 1.8724 (1.6046) Prec@1 56.875 (56.756) Prec@5 81.250 (84.996) Epoch: [84][4990/11272] Time 0.751 (0.773) Data 0.002 (0.002) Loss 1.6151 (1.6046) Prec@1 53.125 (56.756) Prec@5 84.375 (84.996) Epoch: [84][5000/11272] Time 0.915 (0.773) Data 0.002 (0.002) Loss 1.6598 (1.6045) Prec@1 54.375 (56.756) Prec@5 84.375 (84.999) Epoch: [84][5010/11272] Time 0.874 (0.773) Data 0.002 (0.002) Loss 1.4582 (1.6045) Prec@1 60.625 (56.756) Prec@5 86.875 (84.998) Epoch: [84][5020/11272] Time 0.776 (0.773) Data 0.001 (0.002) Loss 1.5393 (1.6044) Prec@1 58.750 (56.755) Prec@5 87.500 (85.000) Epoch: [84][5030/11272] Time 0.713 (0.773) Data 0.001 (0.002) Loss 1.6415 (1.6044) Prec@1 55.000 (56.755) Prec@5 83.750 (85.000) Epoch: [84][5040/11272] Time 0.891 (0.773) Data 0.002 (0.002) Loss 1.4354 (1.6045) Prec@1 67.500 (56.753) Prec@5 88.750 (84.998) Epoch: [84][5050/11272] Time 0.859 (0.773) Data 0.002 (0.002) Loss 1.4597 (1.6045) Prec@1 61.250 (56.754) Prec@5 82.500 (84.996) Epoch: [84][5060/11272] Time 0.752 (0.773) Data 0.001 (0.002) Loss 1.6453 (1.6045) Prec@1 51.875 (56.752) Prec@5 84.375 (84.996) Epoch: [84][5070/11272] Time 0.722 (0.773) Data 0.001 (0.002) Loss 1.5561 (1.6045) Prec@1 50.625 (56.751) Prec@5 87.500 (84.996) Epoch: [84][5080/11272] Time 0.864 (0.773) Data 0.002 (0.002) Loss 1.7093 (1.6045) Prec@1 51.250 (56.750) Prec@5 84.375 (84.997) Epoch: [84][5090/11272] Time 0.820 (0.773) Data 0.002 (0.002) Loss 1.4398 (1.6044) Prec@1 62.500 (56.753) Prec@5 88.750 (84.998) Epoch: [84][5100/11272] Time 0.721 (0.773) Data 0.001 (0.002) Loss 1.9188 (1.6045) Prec@1 55.000 (56.754) Prec@5 82.500 (84.997) Epoch: [84][5110/11272] Time 0.739 (0.773) Data 0.001 (0.002) Loss 1.6303 (1.6045) Prec@1 52.500 (56.751) Prec@5 85.000 (84.998) Epoch: [84][5120/11272] Time 0.872 (0.774) Data 0.001 (0.002) Loss 1.5747 (1.6043) Prec@1 58.750 (56.757) Prec@5 84.375 (85.001) Epoch: [84][5130/11272] Time 0.746 (0.774) Data 0.003 (0.002) Loss 1.6250 (1.6043) Prec@1 53.750 (56.756) Prec@5 83.125 (85.002) Epoch: [84][5140/11272] Time 0.729 (0.774) Data 0.002 (0.002) Loss 1.8062 (1.6043) Prec@1 50.000 (56.755) Prec@5 81.250 (85.000) Epoch: [84][5150/11272] Time 0.832 (0.774) Data 0.001 (0.002) Loss 1.8260 (1.6044) Prec@1 53.125 (56.753) Prec@5 80.000 (84.999) Epoch: [84][5160/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6145 (1.6044) Prec@1 53.750 (56.749) Prec@5 83.750 (84.999) Epoch: [84][5170/11272] Time 0.766 (0.774) Data 0.001 (0.002) Loss 1.7988 (1.6044) Prec@1 50.625 (56.748) Prec@5 84.375 (85.001) Epoch: [84][5180/11272] Time 0.745 (0.774) Data 0.002 (0.002) Loss 1.4729 (1.6044) Prec@1 60.625 (56.747) Prec@5 89.375 (84.999) Epoch: [84][5190/11272] Time 0.849 (0.774) Data 0.001 (0.002) Loss 1.6191 (1.6044) Prec@1 55.000 (56.743) Prec@5 85.625 (84.996) Epoch: [84][5200/11272] Time 0.840 (0.774) Data 0.002 (0.002) Loss 1.5066 (1.6045) Prec@1 62.500 (56.743) Prec@5 86.250 (84.995) Epoch: [84][5210/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.7297 (1.6047) Prec@1 53.750 (56.736) Prec@5 85.000 (84.992) Epoch: [84][5220/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.6139 (1.6047) Prec@1 52.500 (56.739) Prec@5 83.125 (84.992) Epoch: [84][5230/11272] Time 0.855 (0.774) Data 0.001 (0.002) Loss 1.4751 (1.6046) Prec@1 56.875 (56.739) Prec@5 88.125 (84.994) Epoch: [84][5240/11272] Time 0.861 (0.774) Data 0.001 (0.002) Loss 1.7336 (1.6047) Prec@1 55.625 (56.737) Prec@5 83.750 (84.996) Epoch: [84][5250/11272] Time 0.770 (0.774) Data 0.002 (0.002) Loss 1.6580 (1.6047) Prec@1 56.250 (56.735) Prec@5 84.375 (84.994) Epoch: [84][5260/11272] Time 0.826 (0.774) Data 0.002 (0.002) Loss 1.5979 (1.6047) Prec@1 58.750 (56.734) Prec@5 85.000 (84.995) Epoch: [84][5270/11272] Time 0.872 (0.774) Data 0.002 (0.002) Loss 1.6631 (1.6047) Prec@1 53.750 (56.730) Prec@5 85.000 (84.997) Epoch: [84][5280/11272] Time 0.720 (0.774) Data 0.001 (0.002) Loss 1.6014 (1.6047) Prec@1 55.625 (56.730) Prec@5 88.125 (85.000) Epoch: [84][5290/11272] Time 0.735 (0.774) Data 0.001 (0.002) Loss 1.4921 (1.6048) Prec@1 62.500 (56.729) Prec@5 84.375 (84.996) Epoch: [84][5300/11272] Time 0.823 (0.774) Data 0.001 (0.002) Loss 1.5324 (1.6048) Prec@1 58.125 (56.728) Prec@5 85.000 (84.995) Epoch: [84][5310/11272] Time 0.819 (0.774) Data 0.001 (0.002) Loss 1.6182 (1.6050) Prec@1 56.875 (56.725) Prec@5 83.750 (84.992) Epoch: [84][5320/11272] Time 0.733 (0.774) Data 0.002 (0.002) Loss 1.6030 (1.6050) Prec@1 55.000 (56.722) Prec@5 87.500 (84.994) Epoch: [84][5330/11272] Time 0.727 (0.774) Data 0.001 (0.002) Loss 1.6830 (1.6049) Prec@1 58.125 (56.727) Prec@5 85.625 (84.995) Epoch: [84][5340/11272] Time 0.845 (0.774) Data 0.002 (0.002) Loss 1.8530 (1.6049) Prec@1 50.625 (56.726) Prec@5 80.000 (84.996) Epoch: [84][5350/11272] Time 0.822 (0.774) Data 0.001 (0.002) Loss 1.6299 (1.6048) Prec@1 58.750 (56.730) Prec@5 85.000 (84.999) Epoch: [84][5360/11272] Time 0.706 (0.774) Data 0.001 (0.002) Loss 1.5715 (1.6050) Prec@1 53.750 (56.723) Prec@5 84.375 (84.996) Epoch: [84][5370/11272] Time 0.720 (0.774) Data 0.002 (0.002) Loss 1.3918 (1.6049) Prec@1 65.625 (56.723) Prec@5 90.625 (84.998) Epoch: [84][5380/11272] Time 0.838 (0.774) Data 0.001 (0.002) Loss 1.6300 (1.6050) Prec@1 55.000 (56.723) Prec@5 84.375 (84.996) Epoch: [84][5390/11272] Time 0.878 (0.774) Data 0.002 (0.002) Loss 1.8180 (1.6051) Prec@1 51.250 (56.720) Prec@5 80.625 (84.993) Epoch: [84][5400/11272] Time 0.714 (0.774) Data 0.001 (0.002) Loss 1.6620 (1.6052) Prec@1 57.500 (56.717) Prec@5 83.750 (84.994) Epoch: [84][5410/11272] Time 0.869 (0.774) Data 0.001 (0.002) Loss 1.8732 (1.6054) Prec@1 53.125 (56.714) Prec@5 78.750 (84.991) Epoch: [84][5420/11272] Time 0.881 (0.774) Data 0.002 (0.002) Loss 1.5400 (1.6055) Prec@1 58.125 (56.713) Prec@5 85.000 (84.990) Epoch: [84][5430/11272] Time 0.729 (0.774) Data 0.001 (0.002) Loss 1.6923 (1.6055) Prec@1 51.250 (56.712) Prec@5 85.625 (84.991) Epoch: [84][5440/11272] Time 0.715 (0.775) Data 0.001 (0.002) Loss 1.5887 (1.6054) Prec@1 54.375 (56.709) Prec@5 86.250 (84.994) Epoch: [84][5450/11272] Time 0.849 (0.775) Data 0.001 (0.002) Loss 1.6108 (1.6053) Prec@1 55.625 (56.710) Prec@5 84.375 (84.995) Epoch: [84][5460/11272] Time 0.894 (0.775) Data 0.001 (0.002) Loss 1.6122 (1.6054) Prec@1 62.500 (56.712) Prec@5 83.125 (84.993) Epoch: [84][5470/11272] Time 0.754 (0.775) Data 0.002 (0.002) Loss 1.5362 (1.6054) Prec@1 55.000 (56.710) Prec@5 88.125 (84.993) Epoch: [84][5480/11272] Time 0.740 (0.775) Data 0.001 (0.002) Loss 1.8780 (1.6055) Prec@1 56.250 (56.709) Prec@5 81.250 (84.992) Epoch: [84][5490/11272] Time 0.866 (0.775) Data 0.001 (0.002) Loss 1.5816 (1.6055) Prec@1 54.375 (56.713) Prec@5 86.875 (84.994) Epoch: [84][5500/11272] Time 0.946 (0.775) Data 0.001 (0.002) Loss 1.7593 (1.6055) Prec@1 54.375 (56.712) Prec@5 80.000 (84.994) Epoch: [84][5510/11272] Time 0.723 (0.775) Data 0.001 (0.002) Loss 1.6578 (1.6055) Prec@1 54.375 (56.711) Prec@5 84.375 (84.994) Epoch: [84][5520/11272] Time 0.720 (0.775) Data 0.002 (0.002) Loss 1.8211 (1.6056) Prec@1 50.625 (56.710) Prec@5 81.875 (84.991) Epoch: [84][5530/11272] Time 0.825 (0.775) Data 0.001 (0.002) Loss 1.8791 (1.6056) Prec@1 50.625 (56.711) Prec@5 79.375 (84.992) Epoch: [84][5540/11272] Time 0.797 (0.775) Data 0.001 (0.002) Loss 1.5468 (1.6057) Prec@1 56.875 (56.706) Prec@5 87.500 (84.991) Epoch: [84][5550/11272] Time 0.735 (0.775) Data 0.002 (0.002) Loss 1.5830 (1.6057) Prec@1 55.000 (56.705) Prec@5 85.000 (84.992) Epoch: [84][5560/11272] Time 0.906 (0.775) Data 0.001 (0.002) Loss 1.7177 (1.6058) Prec@1 51.875 (56.701) Prec@5 81.875 (84.989) Epoch: [84][5570/11272] Time 0.864 (0.775) Data 0.003 (0.002) Loss 1.6800 (1.6059) Prec@1 53.750 (56.699) Prec@5 85.000 (84.989) Epoch: [84][5580/11272] Time 0.781 (0.775) Data 0.002 (0.002) Loss 1.7257 (1.6058) Prec@1 56.875 (56.700) Prec@5 80.625 (84.989) Epoch: [84][5590/11272] Time 0.732 (0.775) Data 0.001 (0.002) Loss 1.5792 (1.6058) Prec@1 55.625 (56.698) Prec@5 87.500 (84.990) Epoch: [84][5600/11272] Time 0.859 (0.775) Data 0.002 (0.002) Loss 1.7036 (1.6058) Prec@1 51.875 (56.699) Prec@5 83.125 (84.992) Epoch: [84][5610/11272] Time 0.884 (0.775) Data 0.002 (0.002) Loss 1.5366 (1.6058) Prec@1 61.250 (56.699) Prec@5 83.125 (84.990) Epoch: [84][5620/11272] Time 0.714 (0.775) Data 0.001 (0.002) Loss 1.5489 (1.6059) Prec@1 60.000 (56.698) Prec@5 83.750 (84.990) Epoch: [84][5630/11272] Time 0.731 (0.775) Data 0.001 (0.002) Loss 1.5323 (1.6059) Prec@1 60.000 (56.698) Prec@5 85.625 (84.991) Epoch: [84][5640/11272] Time 0.846 (0.775) Data 0.001 (0.002) Loss 1.5358 (1.6058) Prec@1 56.250 (56.699) Prec@5 82.500 (84.991) Epoch: [84][5650/11272] Time 0.850 (0.775) Data 0.002 (0.002) Loss 1.6539 (1.6058) Prec@1 56.250 (56.697) Prec@5 84.375 (84.990) Epoch: [84][5660/11272] Time 0.719 (0.775) Data 0.001 (0.002) Loss 1.6715 (1.6059) Prec@1 56.250 (56.696) Prec@5 83.750 (84.990) Epoch: [84][5670/11272] Time 0.895 (0.776) Data 0.002 (0.002) Loss 1.5938 (1.6059) Prec@1 60.000 (56.698) Prec@5 85.000 (84.990) Epoch: [84][5680/11272] Time 0.865 (0.776) Data 0.001 (0.002) Loss 1.7083 (1.6060) Prec@1 50.625 (56.695) Prec@5 83.125 (84.988) Epoch: [84][5690/11272] Time 0.750 (0.776) Data 0.002 (0.002) Loss 1.5765 (1.6059) Prec@1 58.125 (56.695) Prec@5 83.125 (84.988) Epoch: [84][5700/11272] Time 0.726 (0.776) Data 0.002 (0.002) Loss 1.4839 (1.6060) Prec@1 61.875 (56.694) Prec@5 86.875 (84.986) Epoch: [84][5710/11272] Time 0.820 (0.776) Data 0.002 (0.002) Loss 1.5189 (1.6060) Prec@1 54.375 (56.691) Prec@5 86.250 (84.985) Epoch: [84][5720/11272] Time 0.853 (0.776) Data 0.002 (0.002) Loss 1.1828 (1.6061) Prec@1 68.750 (56.688) Prec@5 88.750 (84.983) Epoch: [84][5730/11272] Time 0.761 (0.776) Data 0.001 (0.002) Loss 1.9199 (1.6064) Prec@1 51.250 (56.682) Prec@5 79.375 (84.979) Epoch: [84][5740/11272] Time 0.694 (0.776) Data 0.001 (0.002) Loss 1.5153 (1.6064) Prec@1 54.375 (56.681) Prec@5 88.125 (84.980) Epoch: [84][5750/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.5300 (1.6063) Prec@1 55.625 (56.680) Prec@5 85.000 (84.979) Epoch: [84][5760/11272] Time 0.789 (0.776) Data 0.001 (0.002) Loss 1.7176 (1.6064) Prec@1 49.375 (56.677) Prec@5 83.125 (84.979) Epoch: [84][5770/11272] Time 0.716 (0.776) Data 0.001 (0.002) Loss 1.6897 (1.6064) Prec@1 51.250 (56.676) Prec@5 81.875 (84.980) Epoch: [84][5780/11272] Time 0.714 (0.776) Data 0.002 (0.002) Loss 1.7006 (1.6064) Prec@1 54.375 (56.677) Prec@5 85.000 (84.981) Epoch: [84][5790/11272] Time 0.815 (0.776) Data 0.001 (0.002) Loss 1.6462 (1.6063) Prec@1 61.250 (56.678) Prec@5 83.750 (84.981) Epoch: [84][5800/11272] Time 0.693 (0.776) Data 0.003 (0.002) Loss 1.6096 (1.6062) Prec@1 56.250 (56.678) Prec@5 85.000 (84.983) Epoch: [84][5810/11272] Time 0.802 (0.776) Data 0.002 (0.002) Loss 1.4190 (1.6063) Prec@1 65.625 (56.678) Prec@5 84.375 (84.980) Epoch: [84][5820/11272] Time 0.821 (0.776) Data 0.002 (0.002) Loss 1.6541 (1.6063) Prec@1 52.500 (56.676) Prec@5 89.375 (84.982) Epoch: [84][5830/11272] Time 0.832 (0.776) Data 0.002 (0.002) Loss 1.6030 (1.6062) Prec@1 55.625 (56.676) Prec@5 85.625 (84.983) Epoch: [84][5840/11272] Time 0.711 (0.776) Data 0.002 (0.002) Loss 1.5694 (1.6062) Prec@1 56.250 (56.676) Prec@5 85.625 (84.983) Epoch: [84][5850/11272] Time 0.758 (0.776) Data 0.002 (0.002) Loss 1.5602 (1.6062) Prec@1 55.625 (56.677) Prec@5 88.750 (84.983) Epoch: [84][5860/11272] Time 0.822 (0.776) Data 0.002 (0.002) Loss 1.8146 (1.6064) Prec@1 55.000 (56.673) Prec@5 80.000 (84.981) Epoch: [84][5870/11272] Time 0.875 (0.776) Data 0.002 (0.002) Loss 1.8028 (1.6063) Prec@1 50.625 (56.673) Prec@5 78.750 (84.981) Epoch: [84][5880/11272] Time 0.719 (0.776) Data 0.002 (0.002) Loss 1.4594 (1.6063) Prec@1 59.375 (56.673) Prec@5 88.125 (84.983) Epoch: [84][5890/11272] Time 0.717 (0.776) Data 0.002 (0.002) Loss 1.7243 (1.6063) Prec@1 55.625 (56.674) Prec@5 85.000 (84.982) Epoch: [84][5900/11272] Time 0.916 (0.776) Data 0.002 (0.002) Loss 1.6613 (1.6063) Prec@1 58.750 (56.673) Prec@5 81.250 (84.982) Epoch: [84][5910/11272] Time 0.836 (0.776) Data 0.002 (0.002) Loss 1.5338 (1.6063) Prec@1 59.375 (56.672) Prec@5 87.500 (84.984) Epoch: [84][5920/11272] Time 0.710 (0.776) Data 0.002 (0.002) Loss 1.4823 (1.6063) Prec@1 59.375 (56.671) Prec@5 89.375 (84.983) Epoch: [84][5930/11272] Time 0.867 (0.776) Data 0.001 (0.002) Loss 1.6323 (1.6064) Prec@1 55.625 (56.668) Prec@5 81.875 (84.984) Epoch: [84][5940/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.7684 (1.6065) Prec@1 55.625 (56.666) Prec@5 80.625 (84.983) Epoch: [84][5950/11272] Time 0.721 (0.776) Data 0.001 (0.002) Loss 1.8616 (1.6066) Prec@1 49.375 (56.662) Prec@5 82.500 (84.982) Epoch: [84][5960/11272] Time 0.756 (0.776) Data 0.002 (0.002) Loss 1.3682 (1.6067) Prec@1 63.750 (56.660) Prec@5 88.750 (84.980) Epoch: [84][5970/11272] Time 0.836 (0.776) Data 0.001 (0.002) Loss 1.6811 (1.6067) Prec@1 56.875 (56.661) Prec@5 83.750 (84.980) Epoch: [84][5980/11272] Time 0.854 (0.776) Data 0.001 (0.002) Loss 1.8742 (1.6069) Prec@1 53.125 (56.658) Prec@5 78.750 (84.978) Epoch: [84][5990/11272] Time 0.737 (0.776) Data 0.001 (0.002) Loss 1.7197 (1.6070) Prec@1 54.375 (56.655) Prec@5 83.125 (84.975) Epoch: [84][6000/11272] Time 0.727 (0.776) Data 0.002 (0.002) Loss 1.7015 (1.6071) Prec@1 52.500 (56.651) Prec@5 85.625 (84.973) Epoch: [84][6010/11272] Time 0.830 (0.776) Data 0.001 (0.002) Loss 1.5337 (1.6070) Prec@1 60.625 (56.652) Prec@5 86.250 (84.974) Epoch: [84][6020/11272] Time 0.843 (0.776) Data 0.002 (0.002) Loss 1.7595 (1.6069) Prec@1 50.000 (56.654) Prec@5 81.250 (84.976) Epoch: [84][6030/11272] Time 0.756 (0.776) Data 0.002 (0.002) Loss 1.4979 (1.6069) Prec@1 59.375 (56.653) Prec@5 88.125 (84.978) Epoch: [84][6040/11272] Time 0.724 (0.776) Data 0.002 (0.002) Loss 1.9120 (1.6069) Prec@1 48.750 (56.653) Prec@5 79.375 (84.977) Epoch: [84][6050/11272] Time 0.888 (0.776) Data 0.002 (0.002) Loss 1.6434 (1.6068) Prec@1 58.125 (56.655) Prec@5 87.500 (84.978) Epoch: [84][6060/11272] Time 0.707 (0.776) Data 0.003 (0.002) Loss 1.7375 (1.6068) Prec@1 51.250 (56.655) Prec@5 85.000 (84.978) Epoch: [84][6070/11272] Time 0.717 (0.776) Data 0.001 (0.002) Loss 1.5243 (1.6068) Prec@1 58.125 (56.657) Prec@5 86.875 (84.978) Epoch: [84][6080/11272] Time 0.834 (0.776) Data 0.001 (0.002) Loss 1.5850 (1.6067) Prec@1 58.750 (56.657) Prec@5 83.125 (84.979) Epoch: [84][6090/11272] Time 0.849 (0.776) Data 0.002 (0.002) Loss 1.5017 (1.6067) Prec@1 58.125 (56.659) Prec@5 88.125 (84.980) Epoch: [84][6100/11272] Time 0.718 (0.776) Data 0.002 (0.002) Loss 1.7743 (1.6065) Prec@1 57.500 (56.661) Prec@5 83.750 (84.983) Epoch: [84][6110/11272] Time 0.725 (0.776) Data 0.002 (0.002) Loss 1.5545 (1.6067) Prec@1 63.750 (56.660) Prec@5 89.375 (84.981) Epoch: [84][6120/11272] Time 0.874 (0.776) Data 0.002 (0.002) Loss 1.4085 (1.6068) Prec@1 63.750 (56.658) Prec@5 86.875 (84.979) Epoch: [84][6130/11272] Time 0.840 (0.776) Data 0.002 (0.002) Loss 1.4566 (1.6068) Prec@1 56.875 (56.657) Prec@5 88.750 (84.979) Epoch: [84][6140/11272] Time 0.722 (0.776) Data 0.001 (0.002) Loss 1.8247 (1.6068) Prec@1 52.500 (56.656) Prec@5 80.625 (84.978) Epoch: [84][6150/11272] Time 0.726 (0.776) Data 0.001 (0.002) Loss 1.5456 (1.6068) Prec@1 62.500 (56.655) Prec@5 83.125 (84.978) Epoch: [84][6160/11272] Time 0.856 (0.776) Data 0.002 (0.002) Loss 1.8012 (1.6069) Prec@1 50.625 (56.654) Prec@5 82.500 (84.977) Epoch: [84][6170/11272] Time 0.840 (0.776) Data 0.001 (0.002) Loss 1.6845 (1.6069) Prec@1 51.875 (56.654) Prec@5 84.375 (84.978) Epoch: [84][6180/11272] Time 0.738 (0.777) Data 0.003 (0.002) Loss 1.6816 (1.6069) Prec@1 56.250 (56.652) Prec@5 83.125 (84.978) Epoch: [84][6190/11272] Time 0.846 (0.777) Data 0.001 (0.002) Loss 1.7681 (1.6069) Prec@1 51.875 (56.651) Prec@5 83.125 (84.978) Epoch: [84][6200/11272] Time 0.846 (0.777) Data 0.002 (0.002) Loss 1.8837 (1.6070) Prec@1 51.250 (56.650) Prec@5 81.875 (84.978) Epoch: [84][6210/11272] Time 0.713 (0.777) Data 0.001 (0.002) Loss 1.6175 (1.6070) Prec@1 52.500 (56.648) Prec@5 85.000 (84.976) Epoch: [84][6220/11272] Time 0.709 (0.777) Data 0.001 (0.002) Loss 1.8662 (1.6072) Prec@1 48.750 (56.648) Prec@5 81.250 (84.974) Epoch: [84][6230/11272] Time 0.866 (0.777) Data 0.002 (0.002) Loss 1.5948 (1.6070) Prec@1 56.875 (56.653) Prec@5 85.000 (84.975) Epoch: [84][6240/11272] Time 0.848 (0.777) Data 0.002 (0.002) Loss 1.5420 (1.6069) Prec@1 60.625 (56.656) Prec@5 83.125 (84.975) Epoch: [84][6250/11272] Time 0.721 (0.777) Data 0.001 (0.002) Loss 1.7342 (1.6069) Prec@1 55.000 (56.657) Prec@5 83.750 (84.975) Epoch: [84][6260/11272] Time 0.726 (0.777) Data 0.001 (0.002) Loss 1.7491 (1.6070) Prec@1 51.250 (56.655) Prec@5 83.125 (84.973) Epoch: [84][6270/11272] Time 0.874 (0.777) Data 0.001 (0.002) Loss 1.7128 (1.6070) Prec@1 53.125 (56.658) Prec@5 81.250 (84.973) Epoch: [84][6280/11272] Time 0.892 (0.777) Data 0.001 (0.002) Loss 1.5994 (1.6071) Prec@1 55.000 (56.656) Prec@5 90.000 (84.972) Epoch: [84][6290/11272] Time 0.696 (0.777) Data 0.003 (0.002) Loss 1.8260 (1.6073) Prec@1 55.625 (56.654) Prec@5 80.625 (84.968) Epoch: [84][6300/11272] Time 0.723 (0.777) Data 0.001 (0.002) Loss 1.5465 (1.6072) Prec@1 59.375 (56.655) Prec@5 88.125 (84.971) Epoch: [84][6310/11272] Time 0.853 (0.777) Data 0.002 (0.002) Loss 1.6839 (1.6073) Prec@1 57.500 (56.652) Prec@5 83.125 (84.969) Epoch: [84][6320/11272] Time 0.849 (0.777) Data 0.001 (0.002) Loss 1.7935 (1.6075) Prec@1 54.375 (56.649) Prec@5 80.000 (84.968) Epoch: [84][6330/11272] Time 0.740 (0.777) Data 0.002 (0.002) Loss 1.8481 (1.6075) Prec@1 55.000 (56.648) Prec@5 80.625 (84.967) Epoch: [84][6340/11272] Time 0.914 (0.777) Data 0.001 (0.002) Loss 1.5663 (1.6075) Prec@1 55.000 (56.648) Prec@5 85.625 (84.970) Epoch: [84][6350/11272] Time 0.844 (0.777) Data 0.002 (0.002) Loss 1.6658 (1.6074) Prec@1 58.750 (56.645) Prec@5 82.500 (84.971) Epoch: [84][6360/11272] Time 0.723 (0.777) Data 0.002 (0.002) Loss 1.5478 (1.6074) Prec@1 59.375 (56.645) Prec@5 86.250 (84.973) Epoch: [84][6370/11272] Time 0.735 (0.777) Data 0.001 (0.002) Loss 1.5909 (1.6072) Prec@1 59.375 (56.651) Prec@5 81.250 (84.976) Epoch: [84][6380/11272] Time 0.859 (0.777) Data 0.001 (0.002) Loss 1.7842 (1.6072) Prec@1 53.125 (56.651) Prec@5 83.125 (84.973) Epoch: [84][6390/11272] Time 0.817 (0.777) Data 0.001 (0.002) Loss 1.4903 (1.6072) Prec@1 58.750 (56.652) Prec@5 88.750 (84.974) Epoch: [84][6400/11272] Time 0.727 (0.777) Data 0.002 (0.002) Loss 1.8158 (1.6072) Prec@1 58.750 (56.651) Prec@5 81.875 (84.974) Epoch: [84][6410/11272] Time 0.738 (0.777) Data 0.002 (0.002) Loss 1.7585 (1.6072) Prec@1 53.750 (56.652) Prec@5 85.000 (84.976) Epoch: [84][6420/11272] Time 0.876 (0.777) Data 0.001 (0.002) Loss 1.6880 (1.6073) Prec@1 53.125 (56.646) Prec@5 83.125 (84.974) Epoch: [84][6430/11272] Time 0.823 (0.777) Data 0.001 (0.002) Loss 1.5840 (1.6073) Prec@1 58.750 (56.646) Prec@5 85.000 (84.974) Epoch: [84][6440/11272] Time 0.735 (0.777) Data 0.002 (0.002) Loss 1.7309 (1.6073) Prec@1 50.625 (56.646) Prec@5 81.250 (84.974) Epoch: [84][6450/11272] Time 0.731 (0.777) Data 0.001 (0.002) Loss 1.8508 (1.6074) Prec@1 48.125 (56.645) Prec@5 83.750 (84.976) Epoch: [84][6460/11272] Time 0.845 (0.777) Data 0.002 (0.002) Loss 1.7630 (1.6074) Prec@1 53.750 (56.644) Prec@5 80.000 (84.977) Epoch: [84][6470/11272] Time 0.718 (0.777) Data 0.001 (0.002) Loss 1.7496 (1.6074) Prec@1 48.750 (56.641) Prec@5 83.750 (84.978) Epoch: [84][6480/11272] Time 0.748 (0.777) Data 0.001 (0.002) Loss 1.6276 (1.6074) Prec@1 59.375 (56.641) Prec@5 81.250 (84.978) Epoch: [84][6490/11272] Time 0.840 (0.777) Data 0.001 (0.002) Loss 1.6123 (1.6074) Prec@1 56.875 (56.639) Prec@5 84.375 (84.977) Epoch: [84][6500/11272] Time 0.831 (0.777) Data 0.001 (0.002) Loss 1.4780 (1.6075) Prec@1 58.125 (56.638) Prec@5 89.375 (84.977) Epoch: [84][6510/11272] Time 0.722 (0.777) Data 0.002 (0.002) Loss 1.5937 (1.6076) Prec@1 56.875 (56.635) Prec@5 86.250 (84.975) Epoch: [84][6520/11272] Time 0.728 (0.777) Data 0.002 (0.002) Loss 1.5670 (1.6076) Prec@1 59.375 (56.634) Prec@5 85.625 (84.975) Epoch: [84][6530/11272] Time 0.906 (0.777) Data 0.002 (0.002) Loss 1.3787 (1.6075) Prec@1 63.750 (56.636) Prec@5 88.750 (84.976) Epoch: [84][6540/11272] Time 0.825 (0.778) Data 0.002 (0.002) Loss 1.5892 (1.6076) Prec@1 54.375 (56.635) Prec@5 83.125 (84.975) Epoch: [84][6550/11272] Time 0.750 (0.777) Data 0.002 (0.002) Loss 1.4297 (1.6076) Prec@1 61.250 (56.634) Prec@5 86.250 (84.974) Epoch: [84][6560/11272] Time 0.756 (0.778) Data 0.003 (0.002) Loss 1.6292 (1.6076) Prec@1 56.250 (56.637) Prec@5 85.000 (84.971) Epoch: [84][6570/11272] Time 0.880 (0.778) Data 0.001 (0.002) Loss 1.6993 (1.6075) Prec@1 56.875 (56.637) Prec@5 83.125 (84.973) Epoch: [84][6580/11272] Time 0.838 (0.778) Data 0.001 (0.002) Loss 1.6117 (1.6075) Prec@1 61.875 (56.637) Prec@5 82.500 (84.971) Epoch: [84][6590/11272] Time 0.746 (0.778) Data 0.002 (0.002) Loss 1.5950 (1.6076) Prec@1 55.625 (56.636) Prec@5 85.000 (84.971) Epoch: [84][6600/11272] Time 0.881 (0.778) Data 0.003 (0.002) Loss 1.8383 (1.6077) Prec@1 51.875 (56.633) Prec@5 83.125 (84.970) Epoch: [84][6610/11272] Time 0.819 (0.778) Data 0.002 (0.002) Loss 1.5378 (1.6077) Prec@1 56.250 (56.633) Prec@5 88.750 (84.970) Epoch: [84][6620/11272] Time 0.753 (0.778) Data 0.005 (0.002) Loss 1.8468 (1.6078) Prec@1 46.875 (56.629) Prec@5 81.875 (84.968) Epoch: [84][6630/11272] Time 0.709 (0.778) Data 0.002 (0.002) Loss 1.5875 (1.6079) Prec@1 55.000 (56.630) Prec@5 85.625 (84.966) Epoch: [84][6640/11272] Time 0.919 (0.778) Data 0.002 (0.002) Loss 2.0426 (1.6080) Prec@1 49.375 (56.631) Prec@5 78.750 (84.965) Epoch: [84][6650/11272] Time 0.861 (0.778) Data 0.001 (0.002) Loss 1.4497 (1.6080) Prec@1 55.625 (56.629) Prec@5 85.000 (84.964) Epoch: [84][6660/11272] Time 0.717 (0.778) Data 0.001 (0.002) Loss 1.6671 (1.6080) Prec@1 54.375 (56.633) Prec@5 82.500 (84.964) Epoch: [84][6670/11272] Time 0.778 (0.778) Data 0.001 (0.002) Loss 1.5470 (1.6081) Prec@1 61.250 (56.632) Prec@5 88.125 (84.962) Epoch: [84][6680/11272] Time 0.823 (0.778) Data 0.001 (0.002) Loss 1.7685 (1.6081) Prec@1 49.375 (56.633) Prec@5 81.875 (84.962) Epoch: [84][6690/11272] Time 0.824 (0.778) Data 0.001 (0.002) Loss 1.7929 (1.6082) Prec@1 50.000 (56.629) Prec@5 79.375 (84.959) Epoch: [84][6700/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.5734 (1.6082) Prec@1 55.000 (56.629) Prec@5 86.250 (84.960) Epoch: [84][6710/11272] Time 0.739 (0.778) Data 0.001 (0.002) Loss 1.6196 (1.6081) Prec@1 55.625 (56.631) Prec@5 85.625 (84.961) Epoch: [84][6720/11272] Time 0.862 (0.778) Data 0.002 (0.002) Loss 1.6064 (1.6082) Prec@1 50.000 (56.630) Prec@5 87.500 (84.961) Epoch: [84][6730/11272] Time 0.766 (0.778) Data 0.003 (0.002) Loss 1.7281 (1.6083) Prec@1 50.625 (56.627) Prec@5 83.125 (84.960) Epoch: [84][6740/11272] Time 0.718 (0.778) Data 0.001 (0.002) Loss 1.6954 (1.6083) Prec@1 55.000 (56.626) Prec@5 83.125 (84.961) Epoch: [84][6750/11272] Time 0.836 (0.778) Data 0.002 (0.002) Loss 1.6120 (1.6083) Prec@1 59.375 (56.626) Prec@5 85.000 (84.960) Epoch: [84][6760/11272] Time 0.849 (0.778) Data 0.002 (0.002) Loss 1.5270 (1.6083) Prec@1 53.750 (56.623) Prec@5 88.750 (84.960) Epoch: [84][6770/11272] Time 0.750 (0.778) Data 0.002 (0.002) Loss 1.5123 (1.6083) Prec@1 60.625 (56.624) Prec@5 85.625 (84.959) Epoch: [84][6780/11272] Time 0.716 (0.778) Data 0.002 (0.002) Loss 1.6391 (1.6085) Prec@1 55.625 (56.619) Prec@5 85.625 (84.956) Epoch: [84][6790/11272] Time 0.821 (0.778) Data 0.002 (0.002) Loss 1.7285 (1.6086) Prec@1 50.625 (56.617) Prec@5 85.000 (84.955) Epoch: [84][6800/11272] Time 0.792 (0.778) Data 0.001 (0.002) Loss 1.7174 (1.6087) Prec@1 57.500 (56.617) Prec@5 81.250 (84.953) Epoch: [84][6810/11272] Time 0.748 (0.778) Data 0.002 (0.002) Loss 1.4638 (1.6087) Prec@1 56.875 (56.617) Prec@5 90.625 (84.952) Epoch: [84][6820/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.5964 (1.6087) Prec@1 56.875 (56.618) Prec@5 86.875 (84.952) Epoch: [84][6830/11272] Time 0.817 (0.778) Data 0.001 (0.002) Loss 1.6146 (1.6086) Prec@1 54.375 (56.617) Prec@5 84.375 (84.952) Epoch: [84][6840/11272] Time 0.861 (0.778) Data 0.002 (0.002) Loss 1.4873 (1.6087) Prec@1 59.375 (56.616) Prec@5 86.875 (84.952) Epoch: [84][6850/11272] Time 0.743 (0.778) Data 0.001 (0.002) Loss 1.6932 (1.6088) Prec@1 56.250 (56.615) Prec@5 85.000 (84.950) Epoch: [84][6860/11272] Time 0.841 (0.778) Data 0.002 (0.002) Loss 1.6827 (1.6089) Prec@1 51.875 (56.612) Prec@5 85.625 (84.949) Epoch: [84][6870/11272] Time 0.869 (0.778) Data 0.002 (0.002) Loss 1.5775 (1.6089) Prec@1 58.125 (56.611) Prec@5 86.250 (84.950) Epoch: [84][6880/11272] Time 0.715 (0.778) Data 0.001 (0.002) Loss 1.8213 (1.6090) Prec@1 52.500 (56.610) Prec@5 80.625 (84.948) Epoch: [84][6890/11272] Time 0.731 (0.778) Data 0.001 (0.002) Loss 1.7136 (1.6089) Prec@1 58.750 (56.613) Prec@5 79.375 (84.948) Epoch: [84][6900/11272] Time 0.846 (0.778) Data 0.002 (0.002) Loss 1.6579 (1.6089) Prec@1 50.000 (56.612) Prec@5 83.750 (84.949) Epoch: [84][6910/11272] Time 0.836 (0.778) Data 0.001 (0.002) Loss 1.5652 (1.6089) Prec@1 55.000 (56.612) Prec@5 83.125 (84.950) Epoch: [84][6920/11272] Time 0.712 (0.778) Data 0.002 (0.002) Loss 1.5364 (1.6090) Prec@1 61.250 (56.610) Prec@5 85.000 (84.947) Epoch: [84][6930/11272] Time 0.734 (0.778) Data 0.002 (0.002) Loss 1.5854 (1.6090) Prec@1 51.875 (56.611) Prec@5 87.500 (84.948) Epoch: [84][6940/11272] Time 0.894 (0.778) Data 0.001 (0.002) Loss 1.6285 (1.6092) Prec@1 56.875 (56.606) Prec@5 84.375 (84.945) Epoch: [84][6950/11272] Time 0.828 (0.778) Data 0.001 (0.002) Loss 1.4293 (1.6092) Prec@1 59.375 (56.605) Prec@5 87.500 (84.945) Epoch: [84][6960/11272] Time 0.727 (0.778) Data 0.002 (0.002) Loss 1.7125 (1.6093) Prec@1 50.625 (56.603) Prec@5 81.250 (84.946) Epoch: [84][6970/11272] Time 0.726 (0.778) Data 0.002 (0.002) Loss 1.5821 (1.6094) Prec@1 58.125 (56.601) Prec@5 85.625 (84.943) Epoch: [84][6980/11272] Time 0.846 (0.778) Data 0.002 (0.002) Loss 1.6614 (1.6094) Prec@1 60.000 (56.603) Prec@5 80.625 (84.945) Epoch: [84][6990/11272] Time 0.734 (0.778) Data 0.003 (0.002) Loss 1.5123 (1.6095) Prec@1 53.750 (56.600) Prec@5 86.250 (84.943) Epoch: [84][7000/11272] Time 0.729 (0.778) Data 0.002 (0.002) Loss 1.5396 (1.6095) Prec@1 53.750 (56.600) Prec@5 87.500 (84.942) Epoch: [84][7010/11272] Time 0.861 (0.778) Data 0.001 (0.002) Loss 1.5879 (1.6096) Prec@1 55.000 (56.597) Prec@5 86.250 (84.942) Epoch: [84][7020/11272] Time 0.864 (0.778) Data 0.002 (0.002) Loss 1.4508 (1.6095) Prec@1 61.875 (56.596) Prec@5 86.250 (84.942) Epoch: [84][7030/11272] Time 0.749 (0.778) Data 0.001 (0.002) Loss 1.5603 (1.6096) Prec@1 55.625 (56.596) Prec@5 86.250 (84.943) Epoch: [84][7040/11272] Time 0.704 (0.778) Data 0.001 (0.002) Loss 1.6278 (1.6096) Prec@1 51.875 (56.593) Prec@5 85.000 (84.940) Epoch: [84][7050/11272] Time 0.857 (0.778) Data 0.002 (0.002) Loss 1.6998 (1.6096) Prec@1 54.375 (56.593) Prec@5 83.750 (84.939) Epoch: [84][7060/11272] Time 0.832 (0.779) Data 0.001 (0.002) Loss 1.5642 (1.6096) Prec@1 50.000 (56.595) Prec@5 85.625 (84.938) Epoch: [84][7070/11272] Time 0.770 (0.779) Data 0.001 (0.002) Loss 1.5229 (1.6096) Prec@1 55.625 (56.595) Prec@5 86.250 (84.938) Epoch: [84][7080/11272] Time 0.761 (0.779) Data 0.001 (0.002) Loss 1.8038 (1.6097) Prec@1 50.625 (56.592) Prec@5 81.250 (84.938) Epoch: [84][7090/11272] Time 0.924 (0.779) Data 0.002 (0.002) Loss 1.5803 (1.6097) Prec@1 59.375 (56.594) Prec@5 86.250 (84.938) Epoch: [84][7100/11272] Time 0.835 (0.779) Data 0.002 (0.002) Loss 1.5696 (1.6097) Prec@1 58.750 (56.594) Prec@5 88.125 (84.937) Epoch: [84][7110/11272] Time 0.726 (0.779) Data 0.001 (0.002) Loss 1.6055 (1.6098) Prec@1 55.625 (56.591) Prec@5 87.500 (84.937) Epoch: [84][7120/11272] Time 0.867 (0.779) Data 0.001 (0.002) Loss 1.6749 (1.6098) Prec@1 58.125 (56.593) Prec@5 83.125 (84.936) Epoch: [84][7130/11272] Time 0.840 (0.779) Data 0.001 (0.002) Loss 1.7959 (1.6098) Prec@1 48.125 (56.595) Prec@5 84.375 (84.936) Epoch: [84][7140/11272] Time 0.732 (0.779) Data 0.001 (0.002) Loss 1.5581 (1.6098) Prec@1 60.000 (56.596) Prec@5 86.250 (84.938) Epoch: [84][7150/11272] Time 0.718 (0.779) Data 0.001 (0.002) Loss 1.5460 (1.6099) Prec@1 52.500 (56.594) Prec@5 88.125 (84.935) Epoch: [84][7160/11272] Time 0.872 (0.779) Data 0.002 (0.002) Loss 1.6435 (1.6098) Prec@1 55.625 (56.595) Prec@5 84.375 (84.936) Epoch: [84][7170/11272] Time 0.834 (0.779) Data 0.002 (0.002) Loss 1.4150 (1.6100) Prec@1 58.750 (56.591) Prec@5 89.375 (84.935) Epoch: [84][7180/11272] Time 0.729 (0.779) Data 0.001 (0.002) Loss 1.9766 (1.6100) Prec@1 50.625 (56.591) Prec@5 76.875 (84.934) Epoch: [84][7190/11272] Time 0.732 (0.779) Data 0.001 (0.002) Loss 1.7129 (1.6101) Prec@1 58.125 (56.589) Prec@5 81.250 (84.932) Epoch: [84][7200/11272] Time 0.851 (0.779) Data 0.001 (0.002) Loss 1.7622 (1.6102) Prec@1 51.250 (56.588) Prec@5 84.375 (84.930) Epoch: [84][7210/11272] Time 0.809 (0.779) Data 0.002 (0.002) Loss 1.7817 (1.6103) Prec@1 52.500 (56.585) Prec@5 80.625 (84.929) Epoch: [84][7220/11272] Time 0.746 (0.779) Data 0.002 (0.002) Loss 1.4634 (1.6102) Prec@1 59.375 (56.586) Prec@5 88.125 (84.928) Epoch: [84][7230/11272] Time 0.733 (0.779) Data 0.002 (0.002) Loss 1.4519 (1.6102) Prec@1 60.625 (56.587) Prec@5 86.250 (84.928) Epoch: [84][7240/11272] Time 0.825 (0.779) Data 0.001 (0.002) Loss 1.4674 (1.6103) Prec@1 56.875 (56.584) Prec@5 86.875 (84.928) Epoch: [84][7250/11272] Time 0.853 (0.779) Data 0.001 (0.002) Loss 1.6497 (1.6103) Prec@1 56.875 (56.584) Prec@5 83.125 (84.927) Epoch: [84][7260/11272] Time 0.735 (0.779) Data 0.001 (0.002) Loss 1.5840 (1.6103) Prec@1 56.875 (56.583) Prec@5 85.000 (84.926) Epoch: [84][7270/11272] Time 0.816 (0.779) Data 0.002 (0.002) Loss 1.5827 (1.6103) Prec@1 55.625 (56.585) Prec@5 88.750 (84.927) Epoch: [84][7280/11272] Time 0.842 (0.779) Data 0.002 (0.002) Loss 1.7150 (1.6103) Prec@1 55.625 (56.586) Prec@5 85.000 (84.928) Epoch: [84][7290/11272] Time 0.732 (0.779) Data 0.002 (0.002) Loss 1.6062 (1.6103) Prec@1 59.375 (56.585) Prec@5 85.625 (84.928) Epoch: [84][7300/11272] Time 0.724 (0.779) Data 0.002 (0.002) Loss 1.6516 (1.6103) Prec@1 61.875 (56.584) Prec@5 83.125 (84.928) Epoch: [84][7310/11272] Time 0.829 (0.779) Data 0.001 (0.002) Loss 1.6939 (1.6104) Prec@1 50.000 (56.582) Prec@5 83.750 (84.926) Epoch: [84][7320/11272] Time 0.829 (0.779) Data 0.001 (0.002) Loss 1.5806 (1.6104) Prec@1 58.750 (56.581) Prec@5 83.750 (84.925) Epoch: [84][7330/11272] Time 0.741 (0.779) Data 0.002 (0.002) Loss 1.6567 (1.6104) Prec@1 56.875 (56.582) Prec@5 84.375 (84.926) Epoch: [84][7340/11272] Time 0.743 (0.779) Data 0.001 (0.002) Loss 1.6380 (1.6105) Prec@1 53.750 (56.579) Prec@5 86.250 (84.924) Epoch: [84][7350/11272] Time 0.850 (0.779) Data 0.001 (0.002) Loss 1.6267 (1.6105) Prec@1 53.750 (56.576) Prec@5 84.375 (84.923) Epoch: [84][7360/11272] Time 0.863 (0.779) Data 0.002 (0.002) Loss 1.4119 (1.6106) Prec@1 58.125 (56.576) Prec@5 89.375 (84.923) Epoch: [84][7370/11272] Time 0.728 (0.779) Data 0.002 (0.002) Loss 1.7175 (1.6105) Prec@1 53.750 (56.577) Prec@5 82.500 (84.923) Epoch: [84][7380/11272] Time 0.694 (0.779) Data 0.001 (0.002) Loss 1.5336 (1.6105) Prec@1 57.500 (56.578) Prec@5 87.500 (84.924) Epoch: [84][7390/11272] Time 0.853 (0.779) Data 0.001 (0.002) Loss 1.6852 (1.6106) Prec@1 56.875 (56.576) Prec@5 83.750 (84.922) Epoch: [84][7400/11272] Time 0.732 (0.779) Data 0.002 (0.002) Loss 1.5670 (1.6105) Prec@1 56.250 (56.575) Prec@5 85.000 (84.922) Epoch: [84][7410/11272] Time 0.759 (0.779) Data 0.002 (0.002) Loss 1.6999 (1.6106) Prec@1 51.875 (56.573) Prec@5 83.750 (84.922) Epoch: [84][7420/11272] Time 0.886 (0.779) Data 0.001 (0.002) Loss 1.5018 (1.6106) Prec@1 60.625 (56.572) Prec@5 86.875 (84.922) Epoch: [84][7430/11272] Time 0.855 (0.779) Data 0.002 (0.002) Loss 1.7018 (1.6107) Prec@1 52.500 (56.567) Prec@5 85.000 (84.921) Epoch: [84][7440/11272] Time 0.699 (0.779) Data 0.001 (0.002) Loss 1.5143 (1.6107) Prec@1 59.375 (56.568) Prec@5 85.000 (84.920) Epoch: [84][7450/11272] Time 0.728 (0.779) Data 0.001 (0.002) Loss 1.7415 (1.6107) Prec@1 52.500 (56.567) Prec@5 85.625 (84.921) Epoch: [84][7460/11272] Time 0.859 (0.779) Data 0.001 (0.002) Loss 1.2539 (1.6106) Prec@1 61.875 (56.568) Prec@5 92.500 (84.922) Epoch: [84][7470/11272] Time 0.820 (0.779) Data 0.001 (0.002) Loss 1.5692 (1.6107) Prec@1 60.625 (56.566) Prec@5 85.625 (84.921) Epoch: [84][7480/11272] Time 0.716 (0.779) Data 0.001 (0.002) Loss 1.8492 (1.6107) Prec@1 50.000 (56.564) Prec@5 83.125 (84.921) Epoch: [84][7490/11272] Time 0.747 (0.779) Data 0.001 (0.002) Loss 1.4332 (1.6108) Prec@1 60.625 (56.562) Prec@5 86.875 (84.920) Epoch: [84][7500/11272] Time 0.836 (0.779) Data 0.002 (0.002) Loss 1.5793 (1.6109) Prec@1 56.875 (56.559) Prec@5 86.250 (84.918) Epoch: [84][7510/11272] Time 0.836 (0.779) Data 0.002 (0.002) Loss 1.7836 (1.6108) Prec@1 53.750 (56.559) Prec@5 85.625 (84.918) Epoch: [84][7520/11272] Time 0.752 (0.779) Data 0.002 (0.002) Loss 1.6861 (1.6109) Prec@1 53.750 (56.556) Prec@5 81.875 (84.917) Epoch: [84][7530/11272] Time 0.835 (0.779) Data 0.001 (0.002) Loss 1.6036 (1.6110) Prec@1 57.500 (56.555) Prec@5 85.000 (84.916) Epoch: [84][7540/11272] Time 0.835 (0.779) Data 0.001 (0.002) Loss 1.8089 (1.6111) Prec@1 49.375 (56.550) Prec@5 84.375 (84.917) Epoch: [84][7550/11272] Time 0.717 (0.779) Data 0.001 (0.002) Loss 1.6799 (1.6111) Prec@1 56.250 (56.549) Prec@5 85.625 (84.917) Epoch: [84][7560/11272] Time 0.702 (0.779) Data 0.001 (0.002) Loss 1.5312 (1.6112) Prec@1 58.125 (56.546) Prec@5 87.500 (84.915) Epoch: [84][7570/11272] Time 0.837 (0.779) Data 0.001 (0.002) Loss 1.5346 (1.6112) Prec@1 56.875 (56.548) Prec@5 86.875 (84.914) Epoch: [84][7580/11272] Time 0.819 (0.779) Data 0.002 (0.002) Loss 1.2630 (1.6111) Prec@1 65.625 (56.549) Prec@5 90.625 (84.913) Epoch: [84][7590/11272] Time 0.763 (0.779) Data 0.002 (0.002) Loss 1.7145 (1.6112) Prec@1 56.875 (56.548) Prec@5 82.500 (84.912) Epoch: [84][7600/11272] Time 0.776 (0.779) Data 0.002 (0.002) Loss 1.6157 (1.6113) Prec@1 51.875 (56.546) Prec@5 85.625 (84.910) Epoch: [84][7610/11272] Time 0.858 (0.779) Data 0.001 (0.002) Loss 1.5266 (1.6113) Prec@1 58.750 (56.547) Prec@5 83.750 (84.909) Epoch: [84][7620/11272] Time 0.847 (0.779) Data 0.002 (0.002) Loss 1.6927 (1.6113) Prec@1 52.500 (56.547) Prec@5 86.250 (84.909) Epoch: [84][7630/11272] Time 0.738 (0.779) Data 0.002 (0.002) Loss 1.7056 (1.6114) Prec@1 56.875 (56.545) Prec@5 83.750 (84.907) Epoch: [84][7640/11272] Time 0.735 (0.779) Data 0.002 (0.002) Loss 1.5777 (1.6114) Prec@1 60.625 (56.547) Prec@5 82.500 (84.906) Epoch: [84][7650/11272] Time 0.869 (0.779) Data 0.001 (0.002) Loss 1.5768 (1.6114) Prec@1 55.625 (56.548) Prec@5 88.125 (84.906) Epoch: [84][7660/11272] Time 0.737 (0.779) Data 0.003 (0.002) Loss 1.5311 (1.6115) Prec@1 56.875 (56.546) Prec@5 88.125 (84.905) Epoch: [84][7670/11272] Time 0.741 (0.780) Data 0.001 (0.002) Loss 1.4825 (1.6115) Prec@1 61.250 (56.547) Prec@5 87.500 (84.904) Epoch: [84][7680/11272] Time 0.868 (0.780) Data 0.002 (0.002) Loss 1.3772 (1.6116) Prec@1 64.375 (56.546) Prec@5 88.125 (84.903) Epoch: [84][7690/11272] Time 0.829 (0.780) Data 0.002 (0.002) Loss 1.7041 (1.6117) Prec@1 56.875 (56.543) Prec@5 80.625 (84.901) Epoch: [84][7700/11272] Time 0.728 (0.780) Data 0.002 (0.002) Loss 1.4609 (1.6116) Prec@1 61.875 (56.546) Prec@5 88.125 (84.904) Epoch: [84][7710/11272] Time 0.724 (0.780) Data 0.002 (0.002) Loss 1.6136 (1.6116) Prec@1 54.375 (56.545) Prec@5 84.375 (84.904) Epoch: [84][7720/11272] Time 0.988 (0.780) Data 0.002 (0.002) Loss 1.5986 (1.6116) Prec@1 57.500 (56.544) Prec@5 85.625 (84.905) Epoch: [84][7730/11272] Time 0.847 (0.780) Data 0.001 (0.002) Loss 1.8436 (1.6117) Prec@1 53.125 (56.543) Prec@5 83.125 (84.903) Epoch: [84][7740/11272] Time 0.771 (0.780) Data 0.001 (0.002) Loss 1.6000 (1.6117) Prec@1 55.625 (56.541) Prec@5 87.500 (84.903) Epoch: [84][7750/11272] Time 0.762 (0.780) Data 0.001 (0.002) Loss 1.5890 (1.6117) Prec@1 63.125 (56.543) Prec@5 83.125 (84.903) Epoch: [84][7760/11272] Time 0.884 (0.780) Data 0.002 (0.002) Loss 1.2545 (1.6116) Prec@1 65.000 (56.545) Prec@5 90.625 (84.905) Epoch: [84][7770/11272] Time 0.818 (0.780) Data 0.001 (0.002) Loss 1.7240 (1.6116) Prec@1 57.500 (56.547) Prec@5 81.875 (84.905) Epoch: [84][7780/11272] Time 0.731 (0.780) Data 0.002 (0.002) Loss 1.9260 (1.6116) Prec@1 46.250 (56.546) Prec@5 81.250 (84.905) Epoch: [84][7790/11272] Time 0.849 (0.780) Data 0.002 (0.002) Loss 1.9057 (1.6117) Prec@1 49.375 (56.541) Prec@5 81.250 (84.902) Epoch: [84][7800/11272] Time 0.812 (0.780) Data 0.001 (0.002) Loss 1.7290 (1.6118) Prec@1 56.250 (56.541) Prec@5 81.250 (84.900) Epoch: [84][7810/11272] Time 0.736 (0.780) Data 0.001 (0.002) Loss 1.7115 (1.6118) Prec@1 51.875 (56.538) Prec@5 84.375 (84.899) Epoch: [84][7820/11272] Time 0.732 (0.780) Data 0.002 (0.002) Loss 1.6111 (1.6120) Prec@1 53.125 (56.535) Prec@5 87.500 (84.896) Epoch: [84][7830/11272] Time 0.864 (0.780) Data 0.002 (0.002) Loss 1.5966 (1.6121) Prec@1 53.125 (56.532) Prec@5 88.125 (84.895) Epoch: [84][7840/11272] Time 0.865 (0.780) Data 0.002 (0.002) Loss 1.6010 (1.6122) Prec@1 56.875 (56.530) Prec@5 82.500 (84.894) Epoch: [84][7850/11272] Time 0.740 (0.780) Data 0.001 (0.002) Loss 1.5552 (1.6122) Prec@1 58.125 (56.528) Prec@5 84.375 (84.893) Epoch: [84][7860/11272] Time 0.731 (0.780) Data 0.001 (0.002) Loss 1.4906 (1.6121) Prec@1 60.625 (56.530) Prec@5 86.250 (84.894) Epoch: [84][7870/11272] Time 0.860 (0.780) Data 0.001 (0.002) Loss 1.5260 (1.6121) Prec@1 62.500 (56.532) Prec@5 86.250 (84.894) Epoch: [84][7880/11272] Time 0.851 (0.780) Data 0.002 (0.002) Loss 1.5667 (1.6121) Prec@1 57.500 (56.532) Prec@5 84.375 (84.894) Epoch: [84][7890/11272] Time 0.731 (0.780) Data 0.001 (0.002) Loss 1.4821 (1.6121) Prec@1 56.875 (56.530) Prec@5 87.500 (84.894) Epoch: [84][7900/11272] Time 0.780 (0.780) Data 0.002 (0.002) Loss 1.5855 (1.6121) Prec@1 55.625 (56.528) Prec@5 88.125 (84.894) Epoch: [84][7910/11272] Time 0.824 (0.780) Data 0.001 (0.002) Loss 1.7021 (1.6121) Prec@1 55.625 (56.529) Prec@5 85.000 (84.893) Epoch: [84][7920/11272] Time 0.728 (0.780) Data 0.004 (0.002) Loss 1.6806 (1.6121) Prec@1 56.250 (56.529) Prec@5 81.250 (84.894) Epoch: [84][7930/11272] Time 0.748 (0.780) Data 0.001 (0.002) Loss 1.5063 (1.6121) Prec@1 61.250 (56.528) Prec@5 85.000 (84.893) Epoch: [84][7940/11272] Time 0.806 (0.780) Data 0.001 (0.002) Loss 1.5457 (1.6121) Prec@1 60.000 (56.527) Prec@5 85.625 (84.893) Epoch: [84][7950/11272] Time 0.885 (0.780) Data 0.002 (0.002) Loss 1.5280 (1.6122) Prec@1 55.625 (56.527) Prec@5 85.000 (84.891) Epoch: [84][7960/11272] Time 0.728 (0.780) Data 0.002 (0.002) Loss 1.5555 (1.6121) Prec@1 55.625 (56.529) Prec@5 89.375 (84.892) Epoch: [84][7970/11272] Time 0.737 (0.780) Data 0.002 (0.002) Loss 1.6229 (1.6121) Prec@1 56.250 (56.531) Prec@5 88.750 (84.893) Epoch: [84][7980/11272] Time 0.873 (0.780) Data 0.001 (0.002) Loss 1.7155 (1.6122) Prec@1 52.500 (56.528) Prec@5 83.750 (84.891) Epoch: [84][7990/11272] Time 0.857 (0.780) Data 0.001 (0.002) Loss 1.7067 (1.6122) Prec@1 56.250 (56.529) Prec@5 83.750 (84.891) Epoch: [84][8000/11272] Time 0.752 (0.780) Data 0.001 (0.002) Loss 1.4330 (1.6122) Prec@1 61.875 (56.528) Prec@5 90.000 (84.892) Epoch: [84][8010/11272] Time 0.799 (0.780) Data 0.002 (0.002) Loss 1.4689 (1.6122) Prec@1 62.500 (56.532) Prec@5 86.875 (84.892) Epoch: [84][8020/11272] Time 0.872 (0.780) Data 0.001 (0.002) Loss 1.4873 (1.6121) Prec@1 63.125 (56.533) Prec@5 87.500 (84.893) Epoch: [84][8030/11272] Time 0.836 (0.780) Data 0.002 (0.002) Loss 1.7492 (1.6121) Prec@1 54.375 (56.534) Prec@5 83.125 (84.894) Epoch: [84][8040/11272] Time 0.718 (0.780) Data 0.001 (0.002) Loss 1.4441 (1.6121) Prec@1 60.625 (56.534) Prec@5 88.125 (84.895) Epoch: [84][8050/11272] Time 0.905 (0.780) Data 0.002 (0.002) Loss 1.7362 (1.6121) Prec@1 55.000 (56.533) Prec@5 85.000 (84.895) Epoch: [84][8060/11272] Time 0.833 (0.780) Data 0.001 (0.002) Loss 1.3972 (1.6121) Prec@1 61.875 (56.532) Prec@5 89.375 (84.895) Epoch: [84][8070/11272] Time 0.744 (0.780) Data 0.001 (0.002) Loss 1.8521 (1.6122) Prec@1 51.250 (56.529) Prec@5 80.625 (84.895) Epoch: [84][8080/11272] Time 0.722 (0.780) Data 0.001 (0.002) Loss 1.6374 (1.6121) Prec@1 55.000 (56.530) Prec@5 85.000 (84.895) Epoch: [84][8090/11272] Time 0.836 (0.780) Data 0.001 (0.002) Loss 1.5471 (1.6122) Prec@1 59.375 (56.528) Prec@5 85.625 (84.894) Epoch: [84][8100/11272] Time 0.820 (0.780) Data 0.001 (0.002) Loss 1.7061 (1.6121) Prec@1 57.500 (56.529) Prec@5 81.875 (84.895) Epoch: [84][8110/11272] Time 0.780 (0.780) Data 0.001 (0.002) Loss 1.5386 (1.6122) Prec@1 59.375 (56.527) Prec@5 86.250 (84.894) Epoch: [84][8120/11272] Time 0.753 (0.780) Data 0.001 (0.002) Loss 1.7606 (1.6122) Prec@1 53.750 (56.527) Prec@5 81.875 (84.893) Epoch: [84][8130/11272] Time 0.824 (0.780) Data 0.001 (0.002) Loss 1.4807 (1.6122) Prec@1 62.500 (56.527) Prec@5 83.125 (84.895) Epoch: [84][8140/11272] Time 0.851 (0.780) Data 0.002 (0.002) Loss 1.7010 (1.6121) Prec@1 55.000 (56.529) Prec@5 86.875 (84.896) Epoch: [84][8150/11272] Time 0.777 (0.780) Data 0.001 (0.002) Loss 1.4814 (1.6122) Prec@1 61.875 (56.526) Prec@5 87.500 (84.895) Epoch: [84][8160/11272] Time 0.727 (0.780) Data 0.002 (0.002) Loss 1.7471 (1.6121) Prec@1 59.375 (56.528) Prec@5 79.375 (84.896) Epoch: [84][8170/11272] Time 0.850 (0.780) Data 0.002 (0.002) Loss 1.7142 (1.6121) Prec@1 52.500 (56.527) Prec@5 83.125 (84.894) Epoch: [84][8180/11272] Time 0.845 (0.780) Data 0.002 (0.002) Loss 1.7436 (1.6122) Prec@1 53.125 (56.526) Prec@5 80.000 (84.893) Epoch: [84][8190/11272] Time 0.729 (0.781) Data 0.001 (0.002) Loss 1.6469 (1.6122) Prec@1 56.875 (56.526) Prec@5 84.375 (84.893) Epoch: [84][8200/11272] Time 0.813 (0.781) Data 0.002 (0.002) Loss 1.4941 (1.6122) Prec@1 62.500 (56.526) Prec@5 91.250 (84.894) Epoch: [84][8210/11272] Time 0.855 (0.781) Data 0.001 (0.002) Loss 1.8208 (1.6121) Prec@1 46.250 (56.528) Prec@5 83.125 (84.895) Epoch: [84][8220/11272] Time 0.713 (0.781) Data 0.002 (0.002) Loss 1.6985 (1.6122) Prec@1 56.875 (56.528) Prec@5 83.750 (84.895) Epoch: [84][8230/11272] Time 0.734 (0.781) Data 0.001 (0.002) Loss 1.4161 (1.6122) Prec@1 63.750 (56.529) Prec@5 87.500 (84.895) Epoch: [84][8240/11272] Time 0.853 (0.781) Data 0.001 (0.002) Loss 1.4927 (1.6121) Prec@1 56.250 (56.531) Prec@5 87.500 (84.897) Epoch: [84][8250/11272] Time 0.848 (0.781) Data 0.001 (0.002) Loss 1.5300 (1.6122) Prec@1 57.500 (56.530) Prec@5 88.750 (84.896) Epoch: [84][8260/11272] Time 0.714 (0.781) Data 0.001 (0.002) Loss 1.7246 (1.6122) Prec@1 57.500 (56.528) Prec@5 86.250 (84.896) Epoch: [84][8270/11272] Time 0.780 (0.781) Data 0.002 (0.002) Loss 1.5649 (1.6122) Prec@1 58.750 (56.528) Prec@5 85.000 (84.896) Epoch: [84][8280/11272] Time 0.867 (0.781) Data 0.002 (0.002) Loss 1.4425 (1.6121) Prec@1 60.000 (56.530) Prec@5 90.625 (84.899) Epoch: [84][8290/11272] Time 0.835 (0.781) Data 0.002 (0.002) Loss 1.6847 (1.6121) Prec@1 56.250 (56.531) Prec@5 85.000 (84.900) Epoch: [84][8300/11272] Time 0.772 (0.781) Data 0.001 (0.002) Loss 1.3983 (1.6120) Prec@1 62.500 (56.533) Prec@5 86.875 (84.901) Epoch: [84][8310/11272] Time 0.730 (0.781) Data 0.001 (0.002) Loss 1.5610 (1.6120) Prec@1 53.125 (56.531) Prec@5 86.875 (84.900) Epoch: [84][8320/11272] Time 0.835 (0.781) Data 0.001 (0.002) Loss 1.6734 (1.6121) Prec@1 53.125 (56.529) Prec@5 86.875 (84.900) Epoch: [84][8330/11272] Time 0.719 (0.781) Data 0.001 (0.002) Loss 1.6189 (1.6120) Prec@1 61.875 (56.530) Prec@5 81.875 (84.901) Epoch: [84][8340/11272] Time 0.720 (0.781) Data 0.002 (0.002) Loss 1.5124 (1.6120) Prec@1 61.250 (56.531) Prec@5 81.875 (84.900) Epoch: [84][8350/11272] Time 0.842 (0.781) Data 0.002 (0.002) Loss 1.7834 (1.6121) Prec@1 50.000 (56.530) Prec@5 81.250 (84.900) Epoch: [84][8360/11272] Time 0.938 (0.781) Data 0.002 (0.002) Loss 1.6837 (1.6120) Prec@1 54.375 (56.531) Prec@5 83.125 (84.901) Epoch: [84][8370/11272] Time 0.754 (0.781) Data 0.001 (0.002) Loss 1.8940 (1.6121) Prec@1 50.000 (56.528) Prec@5 78.750 (84.901) Epoch: [84][8380/11272] Time 0.726 (0.781) Data 0.002 (0.002) Loss 1.6305 (1.6121) Prec@1 57.500 (56.528) Prec@5 85.000 (84.900) Epoch: [84][8390/11272] Time 0.871 (0.781) Data 0.001 (0.002) Loss 1.6819 (1.6121) Prec@1 56.250 (56.529) Prec@5 80.625 (84.900) Epoch: [84][8400/11272] Time 0.900 (0.781) Data 0.002 (0.002) Loss 1.6015 (1.6121) Prec@1 53.750 (56.528) Prec@5 85.000 (84.899) Epoch: [84][8410/11272] Time 0.736 (0.781) Data 0.001 (0.002) Loss 1.7981 (1.6122) Prec@1 54.375 (56.527) Prec@5 78.125 (84.898) Epoch: [84][8420/11272] Time 0.733 (0.781) Data 0.002 (0.002) Loss 1.6308 (1.6122) Prec@1 55.000 (56.527) Prec@5 86.875 (84.898) Epoch: [84][8430/11272] Time 0.820 (0.781) Data 0.001 (0.002) Loss 1.7023 (1.6122) Prec@1 54.375 (56.529) Prec@5 82.500 (84.898) Epoch: [84][8440/11272] Time 0.817 (0.781) Data 0.001 (0.002) Loss 1.6314 (1.6121) Prec@1 55.000 (56.529) Prec@5 85.000 (84.898) Epoch: [84][8450/11272] Time 0.755 (0.781) Data 0.001 (0.002) Loss 1.6034 (1.6121) Prec@1 55.625 (56.527) Prec@5 84.375 (84.899) Epoch: [84][8460/11272] Time 0.883 (0.781) Data 0.001 (0.002) Loss 1.6371 (1.6121) Prec@1 57.500 (56.526) Prec@5 85.000 (84.899) Epoch: [84][8470/11272] Time 0.838 (0.781) Data 0.001 (0.002) Loss 1.6424 (1.6121) Prec@1 58.750 (56.528) Prec@5 84.375 (84.899) Epoch: [84][8480/11272] Time 0.754 (0.781) Data 0.002 (0.002) Loss 1.7608 (1.6121) Prec@1 53.125 (56.529) Prec@5 80.000 (84.898) Epoch: [84][8490/11272] Time 0.740 (0.781) Data 0.001 (0.002) Loss 1.6285 (1.6121) Prec@1 55.000 (56.530) Prec@5 81.875 (84.898) Epoch: [84][8500/11272] Time 0.903 (0.781) Data 0.001 (0.002) Loss 1.7859 (1.6120) Prec@1 53.125 (56.533) Prec@5 80.625 (84.898) Epoch: [84][8510/11272] Time 0.839 (0.781) Data 0.001 (0.002) Loss 1.7302 (1.6121) Prec@1 51.875 (56.529) Prec@5 85.000 (84.897) Epoch: [84][8520/11272] Time 0.774 (0.781) Data 0.001 (0.002) Loss 1.7785 (1.6121) Prec@1 58.125 (56.530) Prec@5 81.250 (84.898) Epoch: [84][8530/11272] Time 0.747 (0.781) Data 0.002 (0.002) Loss 1.4401 (1.6121) Prec@1 60.000 (56.530) Prec@5 89.375 (84.898) Epoch: [84][8540/11272] Time 0.908 (0.781) Data 0.002 (0.002) Loss 1.4821 (1.6122) Prec@1 60.625 (56.529) Prec@5 86.250 (84.896) Epoch: [84][8550/11272] Time 0.834 (0.781) Data 0.001 (0.002) Loss 1.3868 (1.6121) Prec@1 59.375 (56.531) Prec@5 88.125 (84.897) Epoch: [84][8560/11272] Time 0.730 (0.781) Data 0.002 (0.002) Loss 1.5971 (1.6121) Prec@1 56.875 (56.530) Prec@5 89.375 (84.897) Epoch: [84][8570/11272] Time 0.711 (0.781) Data 0.002 (0.002) Loss 1.6145 (1.6121) Prec@1 59.375 (56.531) Prec@5 84.375 (84.898) Epoch: [84][8580/11272] Time 0.871 (0.781) Data 0.002 (0.002) Loss 1.6074 (1.6121) Prec@1 56.250 (56.530) Prec@5 84.375 (84.899) Epoch: [84][8590/11272] Time 0.715 (0.781) Data 0.003 (0.002) Loss 1.2842 (1.6120) Prec@1 64.375 (56.532) Prec@5 92.500 (84.900) Epoch: [84][8600/11272] Time 0.715 (0.781) Data 0.002 (0.002) Loss 1.8224 (1.6120) Prec@1 46.875 (56.529) Prec@5 84.375 (84.898) Epoch: [84][8610/11272] Time 0.821 (0.781) Data 0.001 (0.002) Loss 1.7478 (1.6120) Prec@1 54.375 (56.529) Prec@5 81.875 (84.899) Epoch: [84][8620/11272] Time 0.870 (0.781) Data 0.002 (0.002) Loss 1.5458 (1.6120) Prec@1 58.125 (56.528) Prec@5 85.000 (84.899) Epoch: [84][8630/11272] Time 0.780 (0.781) Data 0.002 (0.002) Loss 1.7393 (1.6120) Prec@1 54.375 (56.525) Prec@5 81.875 (84.899) Epoch: [84][8640/11272] Time 0.735 (0.781) Data 0.002 (0.002) Loss 1.7711 (1.6120) Prec@1 58.750 (56.527) Prec@5 81.875 (84.900) Epoch: [84][8650/11272] Time 0.830 (0.781) Data 0.001 (0.002) Loss 1.4932 (1.6120) Prec@1 57.500 (56.528) Prec@5 87.500 (84.901) Epoch: [84][8660/11272] Time 0.804 (0.781) Data 0.001 (0.002) Loss 1.6575 (1.6120) Prec@1 56.250 (56.528) Prec@5 83.125 (84.901) Epoch: [84][8670/11272] Time 0.731 (0.781) Data 0.001 (0.002) Loss 1.6512 (1.6120) Prec@1 58.750 (56.527) Prec@5 86.875 (84.900) Epoch: [84][8680/11272] Time 0.725 (0.781) Data 0.001 (0.002) Loss 1.5643 (1.6121) Prec@1 58.750 (56.525) Prec@5 88.750 (84.901) Epoch: [84][8690/11272] Time 0.868 (0.781) Data 0.001 (0.002) Loss 1.3147 (1.6120) Prec@1 61.250 (56.524) Prec@5 91.875 (84.902) Epoch: [84][8700/11272] Time 0.839 (0.781) Data 0.002 (0.002) Loss 1.5906 (1.6120) Prec@1 56.875 (56.524) Prec@5 85.625 (84.901) Epoch: [84][8710/11272] Time 0.719 (0.781) Data 0.002 (0.002) Loss 1.5488 (1.6121) Prec@1 56.875 (56.523) Prec@5 83.750 (84.900) Epoch: [84][8720/11272] Time 0.828 (0.781) Data 0.001 (0.002) Loss 1.3303 (1.6120) Prec@1 64.375 (56.522) Prec@5 89.375 (84.902) Epoch: [84][8730/11272] Time 0.838 (0.781) Data 0.001 (0.002) Loss 1.6512 (1.6121) Prec@1 55.625 (56.521) Prec@5 82.500 (84.901) Epoch: [84][8740/11272] Time 0.718 (0.781) Data 0.002 (0.002) Loss 1.7338 (1.6122) Prec@1 53.750 (56.519) Prec@5 83.125 (84.900) Epoch: [84][8750/11272] Time 0.738 (0.781) Data 0.002 (0.002) Loss 1.6209 (1.6122) Prec@1 53.750 (56.517) Prec@5 85.625 (84.899) Epoch: [84][8760/11272] Time 0.911 (0.781) Data 0.002 (0.002) Loss 1.6008 (1.6121) Prec@1 56.875 (56.519) Prec@5 86.250 (84.900) Epoch: [84][8770/11272] Time 0.892 (0.782) Data 0.002 (0.002) Loss 1.8278 (1.6121) Prec@1 53.750 (56.518) Prec@5 83.125 (84.900) Epoch: [84][8780/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.6908 (1.6122) Prec@1 58.750 (56.517) Prec@5 82.500 (84.899) Epoch: [84][8790/11272] Time 0.716 (0.782) Data 0.001 (0.002) Loss 1.7433 (1.6122) Prec@1 55.000 (56.517) Prec@5 83.125 (84.899) Epoch: [84][8800/11272] Time 0.859 (0.782) Data 0.001 (0.002) Loss 1.5610 (1.6123) Prec@1 61.875 (56.516) Prec@5 81.875 (84.897) Epoch: [84][8810/11272] Time 0.847 (0.782) Data 0.001 (0.002) Loss 2.1075 (1.6123) Prec@1 46.250 (56.514) Prec@5 75.000 (84.896) Epoch: [84][8820/11272] Time 0.728 (0.782) Data 0.001 (0.002) Loss 1.7346 (1.6123) Prec@1 49.375 (56.513) Prec@5 83.750 (84.897) Epoch: [84][8830/11272] Time 0.764 (0.782) Data 0.001 (0.002) Loss 1.4325 (1.6123) Prec@1 58.125 (56.512) Prec@5 91.875 (84.896) Epoch: [84][8840/11272] Time 0.888 (0.782) Data 0.002 (0.002) Loss 1.7919 (1.6124) Prec@1 49.375 (56.512) Prec@5 81.250 (84.896) Epoch: [84][8850/11272] Time 0.757 (0.782) Data 0.004 (0.002) Loss 1.6480 (1.6124) Prec@1 59.375 (56.513) Prec@5 83.125 (84.896) Epoch: [84][8860/11272] Time 0.756 (0.782) Data 0.002 (0.002) Loss 1.6626 (1.6124) Prec@1 50.625 (56.511) Prec@5 83.750 (84.895) Epoch: [84][8870/11272] Time 0.875 (0.782) Data 0.001 (0.002) Loss 1.4261 (1.6124) Prec@1 64.375 (56.512) Prec@5 86.875 (84.896) Epoch: [84][8880/11272] Time 0.843 (0.782) Data 0.002 (0.002) Loss 1.6929 (1.6124) Prec@1 53.750 (56.510) Prec@5 83.125 (84.897) Epoch: [84][8890/11272] Time 0.758 (0.782) Data 0.001 (0.002) Loss 1.5146 (1.6124) Prec@1 58.750 (56.509) Prec@5 87.500 (84.897) Epoch: [84][8900/11272] Time 0.726 (0.782) Data 0.002 (0.002) Loss 1.5240 (1.6125) Prec@1 60.000 (56.509) Prec@5 84.375 (84.897) Epoch: [84][8910/11272] Time 0.859 (0.782) Data 0.001 (0.002) Loss 1.6159 (1.6125) Prec@1 57.500 (56.509) Prec@5 83.750 (84.896) Epoch: [84][8920/11272] Time 0.838 (0.782) Data 0.001 (0.002) Loss 1.5498 (1.6125) Prec@1 54.375 (56.508) Prec@5 83.750 (84.896) Epoch: [84][8930/11272] Time 0.734 (0.782) Data 0.001 (0.002) Loss 1.8056 (1.6126) Prec@1 51.250 (56.507) Prec@5 81.875 (84.896) Epoch: [84][8940/11272] Time 0.740 (0.782) Data 0.002 (0.002) Loss 1.8640 (1.6125) Prec@1 56.250 (56.508) Prec@5 81.250 (84.896) Epoch: [84][8950/11272] Time 0.863 (0.782) Data 0.001 (0.002) Loss 1.6831 (1.6125) Prec@1 51.875 (56.508) Prec@5 85.000 (84.896) Epoch: [84][8960/11272] Time 0.844 (0.782) Data 0.002 (0.002) Loss 1.8810 (1.6126) Prec@1 50.625 (56.508) Prec@5 78.750 (84.895) Epoch: [84][8970/11272] Time 0.729 (0.782) Data 0.001 (0.002) Loss 1.6504 (1.6126) Prec@1 56.875 (56.507) Prec@5 84.375 (84.894) Epoch: [84][8980/11272] Time 0.847 (0.782) Data 0.002 (0.002) Loss 1.6794 (1.6127) Prec@1 56.250 (56.505) Prec@5 84.375 (84.894) Epoch: [84][8990/11272] Time 0.947 (0.782) Data 0.001 (0.002) Loss 1.7202 (1.6128) Prec@1 50.625 (56.503) Prec@5 85.625 (84.892) Epoch: [84][9000/11272] Time 0.726 (0.782) Data 0.001 (0.002) Loss 1.5071 (1.6128) Prec@1 59.375 (56.502) Prec@5 87.500 (84.892) Epoch: [84][9010/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.7356 (1.6129) Prec@1 52.500 (56.500) Prec@5 81.875 (84.891) Epoch: [84][9020/11272] Time 0.910 (0.782) Data 0.002 (0.002) Loss 1.5522 (1.6129) Prec@1 58.750 (56.499) Prec@5 83.750 (84.892) Epoch: [84][9030/11272] Time 0.810 (0.782) Data 0.001 (0.002) Loss 1.7821 (1.6129) Prec@1 50.000 (56.499) Prec@5 82.500 (84.890) Epoch: [84][9040/11272] Time 0.727 (0.782) Data 0.002 (0.002) Loss 1.6616 (1.6129) Prec@1 58.750 (56.499) Prec@5 83.750 (84.891) Epoch: [84][9050/11272] Time 0.722 (0.782) Data 0.001 (0.002) Loss 1.5899 (1.6128) Prec@1 60.625 (56.501) Prec@5 84.375 (84.893) Epoch: [84][9060/11272] Time 0.822 (0.782) Data 0.002 (0.002) Loss 1.4139 (1.6128) Prec@1 58.125 (56.500) Prec@5 87.500 (84.893) Epoch: [84][9070/11272] Time 0.826 (0.782) Data 0.001 (0.002) Loss 1.5460 (1.6129) Prec@1 56.250 (56.498) Prec@5 85.625 (84.892) Epoch: [84][9080/11272] Time 0.730 (0.782) Data 0.002 (0.002) Loss 1.7987 (1.6129) Prec@1 53.125 (56.498) Prec@5 82.500 (84.891) Epoch: [84][9090/11272] Time 0.757 (0.782) Data 0.002 (0.002) Loss 1.4752 (1.6129) Prec@1 56.875 (56.497) Prec@5 89.375 (84.893) Epoch: [84][9100/11272] Time 0.878 (0.782) Data 0.002 (0.002) Loss 1.7466 (1.6129) Prec@1 51.250 (56.496) Prec@5 86.250 (84.894) Epoch: [84][9110/11272] Time 0.811 (0.782) Data 0.001 (0.002) Loss 1.6055 (1.6129) Prec@1 58.750 (56.496) Prec@5 87.500 (84.895) Epoch: [84][9120/11272] Time 0.696 (0.782) Data 0.002 (0.002) Loss 1.6616 (1.6128) Prec@1 56.250 (56.496) Prec@5 83.125 (84.896) Epoch: [84][9130/11272] Time 0.819 (0.782) Data 0.002 (0.002) Loss 1.6202 (1.6129) Prec@1 54.375 (56.495) Prec@5 85.000 (84.895) Epoch: [84][9140/11272] Time 0.851 (0.782) Data 0.002 (0.002) Loss 1.5910 (1.6129) Prec@1 56.875 (56.494) Prec@5 83.125 (84.894) Epoch: [84][9150/11272] Time 0.709 (0.782) Data 0.002 (0.002) Loss 1.6751 (1.6130) Prec@1 56.250 (56.492) Prec@5 84.375 (84.892) Epoch: [84][9160/11272] Time 0.732 (0.782) Data 0.002 (0.002) Loss 1.7480 (1.6130) Prec@1 61.250 (56.493) Prec@5 83.125 (84.892) Epoch: [84][9170/11272] Time 0.867 (0.782) Data 0.002 (0.002) Loss 1.8521 (1.6131) Prec@1 51.875 (56.492) Prec@5 80.625 (84.891) Epoch: [84][9180/11272] Time 0.845 (0.782) Data 0.002 (0.002) Loss 1.5058 (1.6131) Prec@1 56.250 (56.493) Prec@5 87.500 (84.890) Epoch: [84][9190/11272] Time 0.685 (0.782) Data 0.001 (0.002) Loss 1.8237 (1.6131) Prec@1 55.625 (56.494) Prec@5 81.875 (84.889) Epoch: [84][9200/11272] Time 0.715 (0.782) Data 0.002 (0.002) Loss 1.5481 (1.6131) Prec@1 61.875 (56.494) Prec@5 84.375 (84.889) Epoch: [84][9210/11272] Time 0.889 (0.782) Data 0.002 (0.002) Loss 1.5692 (1.6131) Prec@1 56.875 (56.493) Prec@5 85.000 (84.889) Epoch: [84][9220/11272] Time 0.830 (0.782) Data 0.001 (0.002) Loss 1.4552 (1.6131) Prec@1 63.750 (56.494) Prec@5 88.125 (84.889) Epoch: [84][9230/11272] Time 0.717 (0.782) Data 0.002 (0.002) Loss 1.6028 (1.6132) Prec@1 56.875 (56.492) Prec@5 84.375 (84.888) Epoch: [84][9240/11272] Time 0.706 (0.782) Data 0.002 (0.002) Loss 1.6776 (1.6132) Prec@1 56.250 (56.491) Prec@5 82.500 (84.887) Epoch: [84][9250/11272] Time 0.836 (0.782) Data 0.002 (0.002) Loss 1.2843 (1.6131) Prec@1 63.125 (56.493) Prec@5 91.875 (84.888) Epoch: [84][9260/11272] Time 0.712 (0.782) Data 0.001 (0.002) Loss 1.3929 (1.6132) Prec@1 65.625 (56.492) Prec@5 88.750 (84.888) Epoch: [84][9270/11272] Time 0.721 (0.782) Data 0.002 (0.002) Loss 1.7599 (1.6131) Prec@1 53.125 (56.493) Prec@5 81.250 (84.889) Epoch: [84][9280/11272] Time 0.876 (0.782) Data 0.003 (0.002) Loss 1.5021 (1.6132) Prec@1 60.000 (56.494) Prec@5 84.375 (84.888) Epoch: [84][9290/11272] Time 0.847 (0.782) Data 0.001 (0.002) Loss 1.5632 (1.6131) Prec@1 57.500 (56.495) Prec@5 86.250 (84.890) Epoch: [84][9300/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.6817 (1.6131) Prec@1 55.625 (56.496) Prec@5 84.375 (84.890) Epoch: [84][9310/11272] Time 0.700 (0.782) Data 0.001 (0.002) Loss 1.9105 (1.6131) Prec@1 51.250 (56.497) Prec@5 79.375 (84.890) Epoch: [84][9320/11272] Time 0.886 (0.782) Data 0.001 (0.002) Loss 1.4549 (1.6131) Prec@1 59.375 (56.497) Prec@5 88.750 (84.890) Epoch: [84][9330/11272] Time 0.866 (0.782) Data 0.002 (0.002) Loss 1.5947 (1.6132) Prec@1 61.250 (56.495) Prec@5 85.625 (84.888) Epoch: [84][9340/11272] Time 0.717 (0.782) Data 0.001 (0.002) Loss 1.6952 (1.6133) Prec@1 51.250 (56.493) Prec@5 87.500 (84.887) Epoch: [84][9350/11272] Time 0.739 (0.782) Data 0.001 (0.002) Loss 1.5767 (1.6132) Prec@1 57.500 (56.494) Prec@5 83.750 (84.887) Epoch: [84][9360/11272] Time 0.839 (0.782) Data 0.001 (0.002) Loss 1.4070 (1.6132) Prec@1 61.250 (56.495) Prec@5 86.875 (84.888) Epoch: [84][9370/11272] Time 0.874 (0.782) Data 0.001 (0.002) Loss 1.5798 (1.6132) Prec@1 58.750 (56.495) Prec@5 86.250 (84.886) Epoch: [84][9380/11272] Time 0.750 (0.782) Data 0.002 (0.002) Loss 1.7224 (1.6132) Prec@1 53.750 (56.495) Prec@5 83.125 (84.887) Epoch: [84][9390/11272] Time 0.865 (0.782) Data 0.001 (0.002) Loss 1.9365 (1.6133) Prec@1 51.250 (56.495) Prec@5 81.250 (84.886) Epoch: [84][9400/11272] Time 0.823 (0.782) Data 0.001 (0.002) Loss 1.5287 (1.6134) Prec@1 63.750 (56.493) Prec@5 84.375 (84.885) Epoch: [84][9410/11272] Time 0.735 (0.782) Data 0.001 (0.002) Loss 1.4035 (1.6134) Prec@1 58.750 (56.492) Prec@5 89.375 (84.886) Epoch: [84][9420/11272] Time 0.739 (0.782) Data 0.002 (0.002) Loss 1.6209 (1.6134) Prec@1 53.125 (56.489) Prec@5 85.625 (84.886) Epoch: [84][9430/11272] Time 0.861 (0.782) Data 0.001 (0.002) Loss 1.6008 (1.6134) Prec@1 53.750 (56.489) Prec@5 84.375 (84.885) Epoch: [84][9440/11272] Time 0.859 (0.782) Data 0.001 (0.002) Loss 1.6569 (1.6134) Prec@1 57.500 (56.491) Prec@5 85.625 (84.884) Epoch: [84][9450/11272] Time 0.722 (0.782) Data 0.002 (0.002) Loss 1.7272 (1.6135) Prec@1 51.875 (56.489) Prec@5 85.000 (84.885) Epoch: [84][9460/11272] Time 0.749 (0.782) Data 0.001 (0.002) Loss 1.4511 (1.6135) Prec@1 65.625 (56.489) Prec@5 86.875 (84.885) Epoch: [84][9470/11272] Time 0.838 (0.782) Data 0.002 (0.002) Loss 1.5397 (1.6135) Prec@1 57.500 (56.490) Prec@5 85.000 (84.885) Epoch: [84][9480/11272] Time 0.833 (0.782) Data 0.001 (0.002) Loss 1.4413 (1.6134) Prec@1 59.375 (56.489) Prec@5 85.625 (84.886) Epoch: [84][9490/11272] Time 0.733 (0.782) Data 0.001 (0.002) Loss 1.5994 (1.6134) Prec@1 56.250 (56.491) Prec@5 84.375 (84.886) Epoch: [84][9500/11272] Time 0.728 (0.782) Data 0.002 (0.002) Loss 1.4635 (1.6133) Prec@1 56.250 (56.492) Prec@5 86.250 (84.886) Epoch: [84][9510/11272] Time 0.874 (0.783) Data 0.002 (0.002) Loss 1.6009 (1.6133) Prec@1 60.000 (56.494) Prec@5 86.875 (84.885) Epoch: [84][9520/11272] Time 0.725 (0.783) Data 0.004 (0.002) Loss 1.7262 (1.6134) Prec@1 51.875 (56.493) Prec@5 81.250 (84.884) Epoch: [84][9530/11272] Time 0.706 (0.783) Data 0.001 (0.002) Loss 1.6848 (1.6134) Prec@1 50.625 (56.492) Prec@5 82.500 (84.882) Epoch: [84][9540/11272] Time 0.887 (0.783) Data 0.002 (0.002) Loss 1.7744 (1.6134) Prec@1 49.375 (56.493) Prec@5 83.750 (84.882) Epoch: [84][9550/11272] Time 0.868 (0.783) Data 0.002 (0.002) Loss 1.7338 (1.6135) Prec@1 53.125 (56.491) Prec@5 84.375 (84.881) Epoch: [84][9560/11272] Time 0.734 (0.783) Data 0.002 (0.002) Loss 1.6571 (1.6135) Prec@1 58.750 (56.492) Prec@5 83.750 (84.881) Epoch: [84][9570/11272] Time 0.853 (0.783) Data 0.002 (0.002) Loss 1.7870 (1.6135) Prec@1 52.500 (56.492) Prec@5 82.500 (84.882) Epoch: [84][9580/11272] Time 0.865 (0.783) Data 0.002 (0.002) Loss 1.4721 (1.6134) Prec@1 59.375 (56.495) Prec@5 88.125 (84.881) Epoch: [84][9590/11272] Time 0.899 (0.783) Data 0.002 (0.002) Loss 1.4187 (1.6134) Prec@1 61.250 (56.495) Prec@5 87.500 (84.882) Epoch: [84][9600/11272] Time 0.726 (0.783) Data 0.002 (0.002) Loss 1.4812 (1.6134) Prec@1 63.125 (56.495) Prec@5 85.625 (84.881) Epoch: [84][9610/11272] Time 0.763 (0.783) Data 0.002 (0.002) Loss 1.6416 (1.6134) Prec@1 56.875 (56.496) Prec@5 83.125 (84.881) Epoch: [84][9620/11272] Time 0.835 (0.783) Data 0.002 (0.002) Loss 1.9470 (1.6134) Prec@1 48.125 (56.494) Prec@5 81.875 (84.880) Epoch: [84][9630/11272] Time 0.855 (0.783) Data 0.001 (0.002) Loss 1.5949 (1.6134) Prec@1 55.000 (56.492) Prec@5 86.875 (84.880) Epoch: [84][9640/11272] Time 0.730 (0.783) Data 0.002 (0.002) Loss 1.5224 (1.6135) Prec@1 55.000 (56.493) Prec@5 86.875 (84.879) Epoch: [84][9650/11272] Time 0.851 (0.783) Data 0.002 (0.002) Loss 1.8127 (1.6135) Prec@1 53.125 (56.492) Prec@5 81.875 (84.878) Epoch: [84][9660/11272] Time 0.860 (0.783) Data 0.002 (0.002) Loss 1.8151 (1.6135) Prec@1 48.750 (56.492) Prec@5 83.750 (84.878) Epoch: [84][9670/11272] Time 0.733 (0.783) Data 0.001 (0.002) Loss 1.5040 (1.6136) Prec@1 61.250 (56.491) Prec@5 86.250 (84.877) Epoch: [84][9680/11272] Time 0.729 (0.783) Data 0.001 (0.002) Loss 1.4298 (1.6136) Prec@1 61.875 (56.491) Prec@5 88.125 (84.877) Epoch: [84][9690/11272] Time 0.857 (0.783) Data 0.002 (0.002) Loss 1.5000 (1.6136) Prec@1 58.750 (56.493) Prec@5 86.875 (84.878) Epoch: [84][9700/11272] Time 0.875 (0.783) Data 0.002 (0.002) Loss 1.4955 (1.6136) Prec@1 60.000 (56.491) Prec@5 86.250 (84.877) Epoch: [84][9710/11272] Time 0.743 (0.783) Data 0.002 (0.002) Loss 1.4808 (1.6136) Prec@1 63.125 (56.489) Prec@5 85.625 (84.877) Epoch: [84][9720/11272] Time 0.723 (0.783) Data 0.001 (0.002) Loss 1.6121 (1.6137) Prec@1 56.875 (56.489) Prec@5 84.375 (84.877) Epoch: [84][9730/11272] Time 0.858 (0.783) Data 0.001 (0.002) Loss 1.3597 (1.6136) Prec@1 60.000 (56.489) Prec@5 91.875 (84.879) Epoch: [84][9740/11272] Time 0.822 (0.783) Data 0.001 (0.002) Loss 1.7568 (1.6136) Prec@1 51.250 (56.490) Prec@5 83.750 (84.880) Epoch: [84][9750/11272] Time 0.694 (0.783) Data 0.001 (0.002) Loss 1.7880 (1.6137) Prec@1 50.625 (56.488) Prec@5 80.625 (84.878) Epoch: [84][9760/11272] Time 0.709 (0.783) Data 0.002 (0.002) Loss 1.5093 (1.6136) Prec@1 58.750 (56.488) Prec@5 86.250 (84.879) Epoch: [84][9770/11272] Time 0.837 (0.783) Data 0.001 (0.002) Loss 1.7736 (1.6137) Prec@1 54.375 (56.487) Prec@5 78.750 (84.876) Epoch: [84][9780/11272] Time 0.736 (0.783) Data 0.004 (0.002) Loss 1.8627 (1.6136) Prec@1 50.625 (56.489) Prec@5 81.250 (84.877) Epoch: [84][9790/11272] Time 0.717 (0.783) Data 0.002 (0.002) Loss 1.4751 (1.6137) Prec@1 60.625 (56.489) Prec@5 87.500 (84.876) Epoch: [84][9800/11272] Time 0.850 (0.783) Data 0.002 (0.002) Loss 1.7315 (1.6137) Prec@1 57.500 (56.488) Prec@5 81.875 (84.875) Epoch: [84][9810/11272] Time 0.862 (0.783) Data 0.002 (0.002) Loss 1.4524 (1.6137) Prec@1 56.250 (56.489) Prec@5 89.375 (84.877) Epoch: [84][9820/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.7091 (1.6137) Prec@1 53.125 (56.487) Prec@5 83.750 (84.876) Epoch: [84][9830/11272] Time 0.720 (0.783) Data 0.002 (0.002) Loss 1.4093 (1.6137) Prec@1 56.875 (56.487) Prec@5 90.000 (84.876) Epoch: [84][9840/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.7028 (1.6137) Prec@1 51.875 (56.486) Prec@5 84.375 (84.876) Epoch: [84][9850/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.4223 (1.6137) Prec@1 58.125 (56.487) Prec@5 90.000 (84.877) Epoch: [84][9860/11272] Time 0.713 (0.783) Data 0.002 (0.002) Loss 1.7227 (1.6137) Prec@1 57.500 (56.488) Prec@5 81.250 (84.878) Epoch: [84][9870/11272] Time 0.714 (0.783) Data 0.001 (0.002) Loss 1.7476 (1.6137) Prec@1 53.125 (56.488) Prec@5 82.500 (84.878) Epoch: [84][9880/11272] Time 0.854 (0.783) Data 0.002 (0.002) Loss 1.6926 (1.6137) Prec@1 51.250 (56.487) Prec@5 86.250 (84.878) Epoch: [84][9890/11272] Time 0.818 (0.783) Data 0.001 (0.002) Loss 1.6545 (1.6138) Prec@1 55.625 (56.488) Prec@5 85.000 (84.878) Epoch: [84][9900/11272] Time 0.735 (0.783) Data 0.001 (0.002) Loss 1.7016 (1.6137) Prec@1 53.750 (56.489) Prec@5 84.375 (84.879) Epoch: [84][9910/11272] Time 0.854 (0.783) Data 0.002 (0.002) Loss 1.5193 (1.6138) Prec@1 58.750 (56.489) Prec@5 86.250 (84.877) Epoch: [84][9920/11272] Time 0.860 (0.783) Data 0.001 (0.002) Loss 1.3669 (1.6137) Prec@1 63.750 (56.490) Prec@5 89.375 (84.878) Epoch: [84][9930/11272] Time 0.717 (0.783) Data 0.001 (0.002) Loss 1.7323 (1.6138) Prec@1 48.125 (56.488) Prec@5 83.125 (84.876) Epoch: [84][9940/11272] Time 0.731 (0.783) Data 0.001 (0.002) Loss 1.5506 (1.6139) Prec@1 60.625 (56.486) Prec@5 85.625 (84.874) Epoch: [84][9950/11272] Time 0.831 (0.783) Data 0.001 (0.002) Loss 1.6686 (1.6138) Prec@1 52.500 (56.485) Prec@5 86.250 (84.875) Epoch: [84][9960/11272] Time 0.894 (0.783) Data 0.002 (0.002) Loss 1.5067 (1.6138) Prec@1 54.375 (56.484) Prec@5 89.375 (84.876) Epoch: [84][9970/11272] Time 0.743 (0.783) Data 0.002 (0.002) Loss 1.7257 (1.6138) Prec@1 53.750 (56.484) Prec@5 82.500 (84.875) Epoch: [84][9980/11272] Time 0.766 (0.783) Data 0.002 (0.002) Loss 1.6427 (1.6139) Prec@1 59.375 (56.484) Prec@5 83.750 (84.874) Epoch: [84][9990/11272] Time 0.809 (0.783) Data 0.002 (0.002) Loss 1.5332 (1.6139) Prec@1 58.750 (56.485) Prec@5 86.250 (84.874) Epoch: [84][10000/11272] Time 0.863 (0.783) Data 0.002 (0.002) Loss 1.8532 (1.6140) Prec@1 51.250 (56.482) Prec@5 81.250 (84.873) Epoch: [84][10010/11272] Time 0.729 (0.783) Data 0.002 (0.002) Loss 1.7070 (1.6139) Prec@1 55.625 (56.482) Prec@5 83.750 (84.874) Epoch: [84][10020/11272] Time 0.752 (0.783) Data 0.002 (0.002) Loss 1.6474 (1.6140) Prec@1 56.875 (56.482) Prec@5 86.250 (84.872) Epoch: [84][10030/11272] Time 0.866 (0.783) Data 0.001 (0.002) Loss 1.8786 (1.6140) Prec@1 50.625 (56.481) Prec@5 83.125 (84.871) Epoch: [84][10040/11272] Time 0.894 (0.783) Data 0.001 (0.002) Loss 1.8772 (1.6141) Prec@1 48.750 (56.479) Prec@5 79.375 (84.871) Epoch: [84][10050/11272] Time 0.733 (0.783) Data 0.002 (0.002) Loss 1.7160 (1.6140) Prec@1 55.000 (56.481) Prec@5 82.500 (84.872) Epoch: [84][10060/11272] Time 0.860 (0.783) Data 0.002 (0.002) Loss 1.6560 (1.6142) Prec@1 48.125 (56.475) Prec@5 81.875 (84.869) Epoch: [84][10070/11272] Time 0.864 (0.783) Data 0.001 (0.002) Loss 1.6679 (1.6142) Prec@1 52.500 (56.475) Prec@5 83.750 (84.870) Epoch: [84][10080/11272] Time 0.713 (0.783) Data 0.001 (0.002) Loss 1.6236 (1.6143) Prec@1 59.375 (56.473) Prec@5 81.250 (84.868) Epoch: [84][10090/11272] Time 0.735 (0.783) Data 0.001 (0.002) Loss 1.9842 (1.6143) Prec@1 50.000 (56.474) Prec@5 77.500 (84.868) Epoch: [84][10100/11272] Time 0.831 (0.783) Data 0.001 (0.002) Loss 1.7178 (1.6144) Prec@1 53.125 (56.473) Prec@5 81.250 (84.868) Epoch: [84][10110/11272] Time 0.830 (0.783) Data 0.001 (0.002) Loss 1.8269 (1.6144) Prec@1 51.875 (56.472) Prec@5 81.250 (84.867) Epoch: [84][10120/11272] Time 0.792 (0.783) Data 0.002 (0.002) Loss 1.6061 (1.6144) Prec@1 55.625 (56.472) Prec@5 85.625 (84.867) Epoch: [84][10130/11272] Time 0.730 (0.783) Data 0.002 (0.002) Loss 1.4731 (1.6144) Prec@1 59.375 (56.473) Prec@5 84.375 (84.869) Epoch: [84][10140/11272] Time 0.877 (0.783) Data 0.001 (0.002) Loss 1.5450 (1.6143) Prec@1 58.125 (56.475) Prec@5 87.500 (84.869) Epoch: [84][10150/11272] Time 0.888 (0.783) Data 0.001 (0.002) Loss 1.6801 (1.6142) Prec@1 57.500 (56.476) Prec@5 82.500 (84.870) Epoch: [84][10160/11272] Time 0.788 (0.783) Data 0.002 (0.002) Loss 1.5422 (1.6142) Prec@1 61.250 (56.476) Prec@5 87.500 (84.869) Epoch: [84][10170/11272] Time 0.709 (0.783) Data 0.002 (0.002) Loss 1.5763 (1.6142) Prec@1 57.500 (56.476) Prec@5 86.250 (84.872) Epoch: [84][10180/11272] Time 0.878 (0.783) Data 0.002 (0.002) Loss 1.5803 (1.6143) Prec@1 56.250 (56.474) Prec@5 83.125 (84.870) Epoch: [84][10190/11272] Time 0.752 (0.783) Data 0.001 (0.002) Loss 1.4769 (1.6142) Prec@1 56.875 (56.474) Prec@5 86.250 (84.871) Epoch: [84][10200/11272] Time 0.820 (0.783) Data 0.002 (0.002) Loss 1.7974 (1.6143) Prec@1 54.375 (56.472) Prec@5 77.500 (84.869) Epoch: [84][10210/11272] Time 0.888 (0.783) Data 0.003 (0.002) Loss 1.6616 (1.6144) Prec@1 57.500 (56.471) Prec@5 84.375 (84.869) Epoch: [84][10220/11272] Time 0.857 (0.783) Data 0.002 (0.002) Loss 1.5791 (1.6144) Prec@1 58.750 (56.471) Prec@5 87.500 (84.870) Epoch: [84][10230/11272] Time 0.740 (0.783) Data 0.001 (0.002) Loss 1.6573 (1.6143) Prec@1 52.500 (56.471) Prec@5 83.750 (84.871) Epoch: [84][10240/11272] Time 0.728 (0.783) Data 0.001 (0.002) Loss 1.7825 (1.6143) Prec@1 55.000 (56.472) Prec@5 85.000 (84.871) Epoch: [84][10250/11272] Time 0.888 (0.783) Data 0.002 (0.002) Loss 1.7049 (1.6144) Prec@1 47.500 (56.468) Prec@5 86.250 (84.870) Epoch: [84][10260/11272] Time 0.846 (0.783) Data 0.002 (0.002) Loss 1.7923 (1.6144) Prec@1 50.625 (56.469) Prec@5 81.250 (84.870) Epoch: [84][10270/11272] Time 0.725 (0.783) Data 0.002 (0.002) Loss 1.4713 (1.6143) Prec@1 60.625 (56.469) Prec@5 89.375 (84.869) Epoch: [84][10280/11272] Time 0.724 (0.783) Data 0.002 (0.002) Loss 1.8045 (1.6144) Prec@1 48.125 (56.466) Prec@5 83.125 (84.869) Epoch: [84][10290/11272] Time 0.873 (0.783) Data 0.002 (0.002) Loss 1.5550 (1.6145) Prec@1 61.250 (56.468) Prec@5 88.125 (84.868) Epoch: [84][10300/11272] Time 0.845 (0.783) Data 0.001 (0.002) Loss 1.8989 (1.6145) Prec@1 50.625 (56.468) Prec@5 79.375 (84.868) Epoch: [84][10310/11272] Time 0.740 (0.783) Data 0.001 (0.002) Loss 1.5426 (1.6145) Prec@1 56.875 (56.466) Prec@5 87.500 (84.868) Epoch: [84][10320/11272] Time 0.847 (0.783) Data 0.001 (0.002) Loss 1.7211 (1.6146) Prec@1 56.875 (56.463) Prec@5 83.125 (84.866) Epoch: [84][10330/11272] Time 0.860 (0.783) Data 0.001 (0.002) Loss 1.5914 (1.6147) Prec@1 58.125 (56.463) Prec@5 84.375 (84.866) Epoch: [84][10340/11272] Time 0.738 (0.783) Data 0.002 (0.002) Loss 1.6183 (1.6147) Prec@1 55.000 (56.462) Prec@5 85.000 (84.866) Epoch: [84][10350/11272] Time 0.726 (0.783) Data 0.001 (0.002) Loss 1.6315 (1.6146) Prec@1 56.875 (56.463) Prec@5 83.750 (84.866) Epoch: [84][10360/11272] Time 0.870 (0.783) Data 0.002 (0.002) Loss 1.5656 (1.6145) Prec@1 58.125 (56.464) Prec@5 85.625 (84.868) Epoch: [84][10370/11272] Time 0.834 (0.783) Data 0.002 (0.002) Loss 1.7297 (1.6146) Prec@1 52.500 (56.464) Prec@5 80.625 (84.867) Epoch: [84][10380/11272] Time 0.753 (0.783) Data 0.001 (0.002) Loss 1.6577 (1.6146) Prec@1 55.000 (56.462) Prec@5 83.750 (84.866) Epoch: [84][10390/11272] Time 0.731 (0.783) Data 0.001 (0.002) Loss 1.7157 (1.6147) Prec@1 53.125 (56.460) Prec@5 85.000 (84.865) Epoch: [84][10400/11272] Time 0.848 (0.783) Data 0.002 (0.002) Loss 1.6908 (1.6147) Prec@1 50.000 (56.458) Prec@5 86.250 (84.864) Epoch: [84][10410/11272] Time 0.836 (0.783) Data 0.001 (0.002) Loss 1.7194 (1.6148) Prec@1 51.250 (56.457) Prec@5 85.625 (84.863) Epoch: [84][10420/11272] Time 0.716 (0.783) Data 0.003 (0.002) Loss 1.6760 (1.6148) Prec@1 55.000 (56.457) Prec@5 85.625 (84.863) Epoch: [84][10430/11272] Time 0.732 (0.783) Data 0.002 (0.002) Loss 1.5515 (1.6148) Prec@1 62.500 (56.457) Prec@5 86.250 (84.863) Epoch: [84][10440/11272] Time 0.862 (0.783) Data 0.002 (0.002) Loss 1.8359 (1.6148) Prec@1 51.250 (56.457) Prec@5 81.875 (84.862) Epoch: [84][10450/11272] Time 0.718 (0.783) Data 0.000 (0.002) Loss 1.7653 (1.6148) Prec@1 50.000 (56.457) Prec@5 81.875 (84.862) Epoch: [84][10460/11272] Time 0.743 (0.783) Data 0.002 (0.002) Loss 1.8255 (1.6149) Prec@1 54.375 (56.457) Prec@5 80.000 (84.862) Epoch: [84][10470/11272] Time 0.823 (0.783) Data 0.001 (0.002) Loss 1.6245 (1.6149) Prec@1 56.250 (56.456) Prec@5 86.875 (84.861) Epoch: [84][10480/11272] Time 0.851 (0.784) Data 0.002 (0.002) Loss 1.6513 (1.6150) Prec@1 54.375 (56.456) Prec@5 78.750 (84.859) Epoch: [84][10490/11272] Time 0.754 (0.784) Data 0.002 (0.002) Loss 1.8010 (1.6150) Prec@1 49.375 (56.454) Prec@5 82.500 (84.858) Epoch: [84][10500/11272] Time 0.732 (0.784) Data 0.001 (0.002) Loss 1.8860 (1.6150) Prec@1 45.625 (56.455) Prec@5 80.625 (84.858) Epoch: [84][10510/11272] Time 0.865 (0.784) Data 0.002 (0.002) Loss 1.5079 (1.6150) Prec@1 60.000 (56.456) Prec@5 85.625 (84.857) Epoch: [84][10520/11272] Time 0.883 (0.784) Data 0.001 (0.002) Loss 1.5628 (1.6150) Prec@1 54.375 (56.456) Prec@5 84.375 (84.857) Epoch: [84][10530/11272] Time 0.727 (0.784) Data 0.002 (0.002) Loss 1.6886 (1.6150) Prec@1 53.750 (56.455) Prec@5 84.375 (84.857) Epoch: [84][10540/11272] Time 0.747 (0.784) Data 0.002 (0.002) Loss 1.5915 (1.6150) Prec@1 58.750 (56.454) Prec@5 82.500 (84.856) Epoch: [84][10550/11272] Time 0.850 (0.784) Data 0.001 (0.002) Loss 1.6567 (1.6150) Prec@1 58.125 (56.454) Prec@5 85.625 (84.856) Epoch: [84][10560/11272] Time 0.824 (0.784) Data 0.002 (0.002) Loss 1.7910 (1.6150) Prec@1 52.500 (56.453) Prec@5 83.125 (84.855) Epoch: [84][10570/11272] Time 0.767 (0.784) Data 0.002 (0.002) Loss 1.9007 (1.6151) Prec@1 51.250 (56.451) Prec@5 80.000 (84.853) Epoch: [84][10580/11272] Time 0.863 (0.784) Data 0.001 (0.002) Loss 1.5937 (1.6152) Prec@1 63.125 (56.453) Prec@5 85.000 (84.853) Epoch: [84][10590/11272] Time 0.852 (0.784) Data 0.001 (0.002) Loss 1.8945 (1.6152) Prec@1 50.000 (56.453) Prec@5 80.625 (84.853) Epoch: [84][10600/11272] Time 0.719 (0.784) Data 0.001 (0.002) Loss 1.4410 (1.6152) Prec@1 61.250 (56.452) Prec@5 88.125 (84.851) Epoch: [84][10610/11272] Time 0.760 (0.784) Data 0.002 (0.002) Loss 1.9025 (1.6153) Prec@1 48.125 (56.448) Prec@5 80.000 (84.851) Epoch: [84][10620/11272] Time 0.854 (0.784) Data 0.001 (0.002) Loss 1.9094 (1.6153) Prec@1 50.625 (56.448) Prec@5 78.125 (84.850) Epoch: [84][10630/11272] Time 0.817 (0.784) Data 0.002 (0.002) Loss 1.6882 (1.6154) Prec@1 53.125 (56.447) Prec@5 83.750 (84.850) Epoch: [84][10640/11272] Time 0.716 (0.784) Data 0.002 (0.002) Loss 1.5566 (1.6153) Prec@1 59.375 (56.450) Prec@5 85.000 (84.850) Epoch: [84][10650/11272] Time 0.721 (0.784) Data 0.002 (0.002) Loss 1.3186 (1.6153) Prec@1 61.250 (56.451) Prec@5 88.125 (84.850) Epoch: [84][10660/11272] Time 0.837 (0.784) Data 0.001 (0.002) Loss 1.6348 (1.6153) Prec@1 53.750 (56.450) Prec@5 86.875 (84.850) Epoch: [84][10670/11272] Time 0.801 (0.784) Data 0.001 (0.002) Loss 1.5610 (1.6153) Prec@1 51.875 (56.449) Prec@5 88.125 (84.850) Epoch: [84][10680/11272] Time 0.728 (0.784) Data 0.001 (0.002) Loss 1.6065 (1.6153) Prec@1 54.375 (56.448) Prec@5 85.625 (84.850) Epoch: [84][10690/11272] Time 0.773 (0.784) Data 0.001 (0.002) Loss 1.4594 (1.6153) Prec@1 58.750 (56.447) Prec@5 85.000 (84.850) Epoch: [84][10700/11272] Time 0.839 (0.784) Data 0.002 (0.002) Loss 1.5022 (1.6154) Prec@1 61.250 (56.447) Prec@5 86.875 (84.849) Epoch: [84][10710/11272] Time 0.749 (0.784) Data 0.006 (0.002) Loss 1.7034 (1.6154) Prec@1 57.500 (56.447) Prec@5 85.625 (84.850) Epoch: [84][10720/11272] Time 0.766 (0.784) Data 0.002 (0.002) Loss 1.6765 (1.6154) Prec@1 58.125 (56.446) Prec@5 85.000 (84.849) Epoch: [84][10730/11272] Time 0.869 (0.784) Data 0.002 (0.002) Loss 1.7238 (1.6155) Prec@1 58.125 (56.446) Prec@5 80.000 (84.848) Epoch: [84][10740/11272] Time 0.866 (0.784) Data 0.002 (0.002) Loss 1.5711 (1.6155) Prec@1 57.500 (56.445) Prec@5 86.250 (84.848) Epoch: [84][10750/11272] Time 0.722 (0.784) Data 0.001 (0.002) Loss 1.6702 (1.6155) Prec@1 50.000 (56.444) Prec@5 82.500 (84.848) Epoch: [84][10760/11272] Time 0.735 (0.784) Data 0.002 (0.002) Loss 1.8359 (1.6155) Prec@1 58.750 (56.445) Prec@5 81.875 (84.847) Epoch: [84][10770/11272] Time 0.856 (0.784) Data 0.002 (0.002) Loss 1.6562 (1.6156) Prec@1 55.625 (56.444) Prec@5 83.125 (84.846) Epoch: [84][10780/11272] Time 0.852 (0.784) Data 0.002 (0.002) Loss 1.7944 (1.6156) Prec@1 53.750 (56.443) Prec@5 80.625 (84.846) Epoch: [84][10790/11272] Time 0.721 (0.784) Data 0.002 (0.002) Loss 1.4416 (1.6157) Prec@1 60.625 (56.443) Prec@5 87.500 (84.845) Epoch: [84][10800/11272] Time 0.714 (0.784) Data 0.002 (0.002) Loss 1.4748 (1.6157) Prec@1 59.375 (56.441) Prec@5 86.250 (84.844) Epoch: [84][10810/11272] Time 0.864 (0.784) Data 0.002 (0.002) Loss 1.4714 (1.6157) Prec@1 58.750 (56.441) Prec@5 88.750 (84.846) Epoch: [84][10820/11272] Time 0.835 (0.784) Data 0.002 (0.002) Loss 1.7530 (1.6158) Prec@1 53.750 (56.440) Prec@5 80.625 (84.846) Epoch: [84][10830/11272] Time 0.723 (0.784) Data 0.001 (0.002) Loss 1.6425 (1.6158) Prec@1 53.125 (56.439) Prec@5 84.375 (84.845) Epoch: [84][10840/11272] Time 0.837 (0.784) Data 0.001 (0.002) Loss 1.7023 (1.6157) Prec@1 51.250 (56.441) Prec@5 81.875 (84.845) Epoch: [84][10850/11272] Time 0.834 (0.784) Data 0.001 (0.002) Loss 1.5697 (1.6157) Prec@1 55.625 (56.439) Prec@5 81.250 (84.846) Epoch: [84][10860/11272] Time 0.736 (0.784) Data 0.001 (0.002) Loss 1.5995 (1.6157) Prec@1 53.750 (56.439) Prec@5 85.625 (84.846) Epoch: [84][10870/11272] Time 0.757 (0.784) Data 0.002 (0.002) Loss 1.7537 (1.6158) Prec@1 56.875 (56.438) Prec@5 81.875 (84.846) Epoch: [84][10880/11272] Time 0.884 (0.784) Data 0.001 (0.002) Loss 1.5690 (1.6158) Prec@1 63.125 (56.437) Prec@5 88.750 (84.845) Epoch: [84][10890/11272] Time 0.821 (0.784) Data 0.001 (0.002) Loss 1.6693 (1.6158) Prec@1 48.125 (56.435) Prec@5 86.875 (84.846) Epoch: [84][10900/11272] Time 0.729 (0.784) Data 0.001 (0.002) Loss 1.3560 (1.6159) Prec@1 59.375 (56.433) Prec@5 89.375 (84.846) Epoch: [84][10910/11272] Time 0.730 (0.784) Data 0.001 (0.002) Loss 1.6104 (1.6159) Prec@1 58.125 (56.434) Prec@5 81.250 (84.846) Epoch: [84][10920/11272] Time 0.838 (0.784) Data 0.002 (0.002) Loss 1.6465 (1.6159) Prec@1 49.375 (56.435) Prec@5 82.500 (84.846) Epoch: [84][10930/11272] Time 0.826 (0.784) Data 0.001 (0.002) Loss 1.4957 (1.6158) Prec@1 59.375 (56.434) Prec@5 88.125 (84.846) Epoch: [84][10940/11272] Time 0.740 (0.784) Data 0.002 (0.002) Loss 1.4597 (1.6159) Prec@1 55.625 (56.433) Prec@5 86.250 (84.847) Epoch: [84][10950/11272] Time 0.743 (0.784) Data 0.002 (0.002) Loss 1.5790 (1.6159) Prec@1 58.125 (56.431) Prec@5 86.250 (84.847) Epoch: [84][10960/11272] Time 0.862 (0.784) Data 0.002 (0.002) Loss 1.6392 (1.6160) Prec@1 58.125 (56.429) Prec@5 85.625 (84.846) Epoch: [84][10970/11272] Time 0.825 (0.784) Data 0.001 (0.002) Loss 1.5048 (1.6159) Prec@1 61.875 (56.430) Prec@5 85.625 (84.846) Epoch: [84][10980/11272] Time 0.723 (0.784) Data 0.001 (0.002) Loss 1.7969 (1.6160) Prec@1 46.250 (56.427) Prec@5 84.375 (84.845) Epoch: [84][10990/11272] Time 0.841 (0.784) Data 0.001 (0.002) Loss 1.6322 (1.6160) Prec@1 54.375 (56.427) Prec@5 82.500 (84.845) Epoch: [84][11000/11272] Time 0.869 (0.784) Data 0.002 (0.002) Loss 1.4601 (1.6160) Prec@1 63.125 (56.427) Prec@5 85.625 (84.845) Epoch: [84][11010/11272] Time 0.721 (0.784) Data 0.001 (0.002) Loss 1.4444 (1.6160) Prec@1 58.750 (56.425) Prec@5 90.625 (84.846) Epoch: [84][11020/11272] Time 0.730 (0.784) Data 0.001 (0.002) Loss 1.5903 (1.6160) Prec@1 56.875 (56.424) Prec@5 87.500 (84.845) Epoch: [84][11030/11272] Time 0.855 (0.784) Data 0.002 (0.002) Loss 1.5306 (1.6160) Prec@1 56.250 (56.423) Prec@5 85.000 (84.845) Epoch: [84][11040/11272] Time 0.886 (0.784) Data 0.001 (0.002) Loss 1.5167 (1.6162) Prec@1 56.250 (56.421) Prec@5 88.125 (84.842) Epoch: [84][11050/11272] Time 0.775 (0.784) Data 0.002 (0.002) Loss 1.5165 (1.6162) Prec@1 57.500 (56.420) Prec@5 87.500 (84.843) Epoch: [84][11060/11272] Time 0.717 (0.784) Data 0.001 (0.002) Loss 1.7090 (1.6161) Prec@1 52.500 (56.420) Prec@5 80.625 (84.843) Epoch: [84][11070/11272] Time 0.860 (0.784) Data 0.001 (0.002) Loss 1.7376 (1.6162) Prec@1 58.750 (56.420) Prec@5 78.125 (84.842) Epoch: [84][11080/11272] Time 0.820 (0.784) Data 0.001 (0.002) Loss 1.9081 (1.6162) Prec@1 51.250 (56.419) Prec@5 77.500 (84.840) Epoch: [84][11090/11272] Time 0.715 (0.784) Data 0.002 (0.002) Loss 1.5094 (1.6162) Prec@1 63.125 (56.421) Prec@5 86.250 (84.840) Epoch: [84][11100/11272] Time 0.840 (0.784) Data 0.001 (0.002) Loss 1.5362 (1.6162) Prec@1 61.875 (56.420) Prec@5 86.875 (84.840) Epoch: [84][11110/11272] Time 0.880 (0.784) Data 0.002 (0.002) Loss 1.5861 (1.6162) Prec@1 56.875 (56.421) Prec@5 86.875 (84.840) Epoch: [84][11120/11272] Time 0.720 (0.784) Data 0.002 (0.002) Loss 1.6017 (1.6162) Prec@1 52.500 (56.419) Prec@5 86.875 (84.840) Epoch: [84][11130/11272] Time 0.745 (0.784) Data 0.002 (0.002) Loss 1.4575 (1.6162) Prec@1 58.125 (56.419) Prec@5 87.500 (84.840) Epoch: [84][11140/11272] Time 0.880 (0.784) Data 0.002 (0.002) Loss 1.6459 (1.6162) Prec@1 52.500 (56.419) Prec@5 86.250 (84.840) Epoch: [84][11150/11272] Time 0.885 (0.784) Data 0.002 (0.002) Loss 1.6258 (1.6162) Prec@1 56.875 (56.418) Prec@5 81.250 (84.840) Epoch: [84][11160/11272] Time 0.721 (0.784) Data 0.002 (0.002) Loss 1.4266 (1.6163) Prec@1 62.500 (56.417) Prec@5 86.875 (84.840) Epoch: [84][11170/11272] Time 0.735 (0.784) Data 0.001 (0.002) Loss 1.5742 (1.6162) Prec@1 60.625 (56.418) Prec@5 85.625 (84.840) Epoch: [84][11180/11272] Time 0.875 (0.784) Data 0.002 (0.002) Loss 1.5949 (1.6162) Prec@1 57.500 (56.420) Prec@5 88.125 (84.840) Epoch: [84][11190/11272] Time 0.845 (0.784) Data 0.002 (0.002) Loss 1.6934 (1.6162) Prec@1 56.875 (56.422) Prec@5 81.250 (84.841) Epoch: [84][11200/11272] Time 0.765 (0.784) Data 0.002 (0.002) Loss 1.4931 (1.6162) Prec@1 61.875 (56.422) Prec@5 83.750 (84.841) Epoch: [84][11210/11272] Time 0.736 (0.784) Data 0.002 (0.002) Loss 1.6227 (1.6162) Prec@1 53.750 (56.422) Prec@5 85.000 (84.840) Epoch: [84][11220/11272] Time 0.813 (0.784) Data 0.001 (0.002) Loss 1.5989 (1.6162) Prec@1 49.375 (56.420) Prec@5 86.875 (84.840) Epoch: [84][11230/11272] Time 0.818 (0.784) Data 0.001 (0.002) Loss 1.5162 (1.6162) Prec@1 59.375 (56.420) Prec@5 88.125 (84.839) Epoch: [84][11240/11272] Time 0.748 (0.784) Data 0.001 (0.002) Loss 1.5856 (1.6162) Prec@1 56.250 (56.421) Prec@5 86.250 (84.838) Epoch: [84][11250/11272] Time 0.873 (0.784) Data 0.001 (0.002) Loss 1.4875 (1.6162) Prec@1 56.250 (56.422) Prec@5 88.125 (84.839) Epoch: [84][11260/11272] Time 0.834 (0.784) Data 0.001 (0.002) Loss 1.7224 (1.6162) Prec@1 51.875 (56.421) Prec@5 81.875 (84.838) Epoch: [84][11270/11272] Time 0.760 (0.784) Data 0.000 (0.002) Loss 1.6059 (1.6162) Prec@1 54.375 (56.420) Prec@5 83.750 (84.838) Test: [0/229] Time 3.464 (3.464) Loss 1.0886 (1.0886) Prec@1 65.000 (65.000) Prec@5 95.000 (95.000) Test: [10/229] Time 0.381 (0.839) Loss 1.0411 (1.5674) Prec@1 68.125 (58.580) Prec@5 97.500 (87.386) Test: [20/229] Time 1.088 (0.759) Loss 2.0822 (1.6879) Prec@1 43.750 (54.405) Prec@5 81.250 (86.161) Test: [30/229] Time 0.414 (0.711) Loss 1.9205 (1.6305) Prec@1 45.000 (56.069) Prec@5 86.250 (86.794) Test: [40/229] Time 0.846 (0.685) Loss 0.3804 (1.6251) Prec@1 93.750 (56.113) Prec@5 95.625 (86.707) Test: [50/229] Time 0.323 (0.676) Loss 2.3169 (1.6796) Prec@1 38.750 (55.135) Prec@5 79.375 (85.625) Test: [60/229] Time 0.509 (0.661) Loss 2.1357 (1.6774) Prec@1 38.125 (55.102) Prec@5 82.500 (85.574) Test: [70/229] Time 0.327 (0.661) Loss 1.3891 (1.6871) Prec@1 67.500 (55.035) Prec@5 86.875 (85.484) Test: [80/229] Time 0.414 (0.655) Loss 2.0755 (1.7055) Prec@1 40.625 (54.182) Prec@5 85.000 (85.394) Test: [90/229] Time 0.390 (0.655) Loss 1.2036 (1.7121) Prec@1 72.500 (54.169) Prec@5 88.125 (85.398) Test: [100/229] Time 0.408 (0.653) Loss 2.1185 (1.7042) Prec@1 46.875 (54.493) Prec@5 83.125 (85.464) Test: [110/229] Time 0.847 (0.652) Loss 1.3202 (1.6832) Prec@1 63.750 (54.961) Prec@5 89.375 (85.625) Test: [120/229] Time 0.447 (0.649) Loss 2.6839 (1.6977) Prec@1 35.000 (54.520) Prec@5 76.875 (85.434) Test: [130/229] Time 1.319 (0.654) Loss 1.2136 (1.6843) Prec@1 64.375 (54.757) Prec@5 91.250 (85.563) Test: [140/229] Time 0.722 (0.651) Loss 1.8891 (1.6968) Prec@1 52.500 (54.450) Prec@5 83.125 (85.439) Test: [150/229] Time 0.971 (0.651) Loss 1.1626 (1.7098) Prec@1 75.000 (54.147) Prec@5 88.125 (85.252) Test: [160/229] Time 1.090 (0.650) Loss 1.7311 (1.7113) Prec@1 56.875 (54.010) Prec@5 84.375 (85.256) Test: [170/229] Time 0.479 (0.646) Loss 1.8018 (1.7251) Prec@1 48.125 (53.626) Prec@5 84.375 (85.084) Test: [180/229] Time 1.124 (0.647) Loss 2.3975 (1.7283) Prec@1 36.250 (53.688) Prec@5 70.000 (84.945) Test: [190/229] Time 0.369 (0.646) Loss 1.2040 (1.7181) Prec@1 64.375 (53.999) Prec@5 95.000 (85.072) Test: [200/229] Time 1.471 (0.648) Loss 1.8998 (1.7102) Prec@1 45.625 (54.055) Prec@5 81.875 (85.252) Test: [210/229] Time 0.384 (0.645) Loss 1.0674 (1.7000) Prec@1 71.250 (54.384) Prec@5 93.750 (85.370) Test: [220/229] Time 1.396 (0.647) Loss 1.5276 (1.6888) Prec@1 59.375 (54.777) Prec@5 88.125 (85.461) * Prec@1 55.077 Prec@5 85.500 Epoch: [85][0/11272] Time 5.032 (5.032) Data 4.075 (4.075) Loss 1.6612 (1.6612) Prec@1 57.500 (57.500) Prec@5 86.250 (86.250) Epoch: [85][10/11272] Time 0.783 (1.175) Data 0.002 (0.372) Loss 1.8616 (1.5622) Prec@1 54.375 (58.068) Prec@5 81.250 (86.705) Epoch: [85][20/11272] Time 0.736 (1.005) Data 0.001 (0.196) Loss 1.5045 (1.5885) Prec@1 61.250 (57.619) Prec@5 86.875 (85.655) Epoch: [85][30/11272] Time 0.858 (0.935) Data 0.002 (0.133) Loss 1.6599 (1.5879) Prec@1 59.375 (57.823) Prec@5 84.375 (85.403) Epoch: [85][40/11272] Time 0.722 (0.894) Data 0.003 (0.101) Loss 1.5741 (1.6127) Prec@1 53.125 (56.692) Prec@5 86.250 (85.091) Epoch: [85][50/11272] Time 0.747 (0.873) Data 0.002 (0.082) Loss 1.3980 (1.5909) Prec@1 55.625 (57.083) Prec@5 91.875 (85.392) Epoch: [85][60/11272] Time 0.854 (0.861) Data 0.001 (0.068) Loss 1.4777 (1.5896) Prec@1 59.375 (57.008) Prec@5 88.125 (85.410) Epoch: [85][70/11272] Time 0.877 (0.850) Data 0.001 (0.059) Loss 1.4782 (1.5937) Prec@1 62.500 (56.849) Prec@5 87.500 (85.387) Epoch: [85][80/11272] Time 0.776 (0.843) Data 0.002 (0.052) Loss 1.3235 (1.5873) Prec@1 63.125 (56.906) Prec@5 91.875 (85.563) Epoch: [85][90/11272] Time 0.737 (0.839) Data 0.001 (0.046) Loss 1.6205 (1.5871) Prec@1 58.125 (57.012) Prec@5 85.625 (85.501) Epoch: [85][100/11272] Time 0.919 (0.835) Data 0.002 (0.042) Loss 1.7128 (1.5872) Prec@1 57.500 (56.955) Prec@5 84.375 (85.495) Epoch: [85][110/11272] Time 0.824 (0.830) Data 0.001 (0.038) Loss 1.6495 (1.5868) Prec@1 58.125 (57.100) Prec@5 83.125 (85.495) Epoch: [85][120/11272] Time 0.718 (0.824) Data 0.002 (0.035) Loss 1.7648 (1.5890) Prec@1 55.625 (57.040) Prec@5 78.125 (85.429) Epoch: [85][130/11272] Time 0.740 (0.823) Data 0.002 (0.033) Loss 1.7701 (1.5874) Prec@1 55.625 (57.161) Prec@5 82.500 (85.396) Epoch: [85][140/11272] Time 0.813 (0.820) Data 0.002 (0.030) Loss 1.4980 (1.5851) Prec@1 61.250 (57.176) Prec@5 85.000 (85.377) Epoch: [85][150/11272] Time 0.879 (0.818) Data 0.001 (0.029) Loss 1.6883 (1.5872) Prec@1 53.750 (57.165) Prec@5 83.125 (85.306) Epoch: [85][160/11272] Time 0.711 (0.816) Data 0.001 (0.027) Loss 1.7041 (1.5823) Prec@1 55.000 (57.255) Prec@5 82.500 (85.384) Epoch: [85][170/11272] Time 0.861 (0.815) Data 0.002 (0.025) Loss 1.6232 (1.5825) Prec@1 56.875 (57.240) Prec@5 83.750 (85.391) Epoch: [85][180/11272] Time 0.871 (0.814) Data 0.002 (0.024) Loss 1.6472 (1.5903) Prec@1 59.375 (57.051) Prec@5 85.000 (85.252) Epoch: [85][190/11272] Time 0.746 (0.813) Data 0.001 (0.023) Loss 1.5561 (1.5941) Prec@1 56.875 (56.882) Prec@5 85.625 (85.203) Epoch: [85][200/11272] Time 0.713 (0.811) Data 0.002 (0.022) Loss 1.6054 (1.5917) Prec@1 55.000 (56.919) Prec@5 85.625 (85.233) Epoch: [85][210/11272] Time 0.806 (0.810) Data 0.001 (0.021) Loss 1.6601 (1.5907) Prec@1 55.000 (56.985) Prec@5 86.250 (85.216) Epoch: [85][220/11272] Time 0.844 (0.809) Data 0.001 (0.020) Loss 1.5991 (1.5897) Prec@1 60.625 (56.960) Prec@5 84.375 (85.238) Epoch: [85][230/11272] Time 0.748 (0.807) Data 0.002 (0.019) Loss 1.6633 (1.5916) Prec@1 58.125 (56.910) Prec@5 82.500 (85.187) Epoch: [85][240/11272] Time 0.711 (0.807) Data 0.002 (0.018) Loss 1.5772 (1.5901) Prec@1 58.125 (56.966) Prec@5 85.000 (85.187) Epoch: [85][250/11272] Time 0.850 (0.806) Data 0.001 (0.018) Loss 1.5895 (1.5903) Prec@1 60.625 (56.945) Prec@5 85.000 (85.212) Epoch: [85][260/11272] Time 0.820 (0.805) Data 0.002 (0.017) Loss 1.3933 (1.5900) Prec@1 59.375 (56.930) Prec@5 88.125 (85.208) Epoch: [85][270/11272] Time 0.727 (0.804) Data 0.001 (0.017) Loss 1.5010 (1.5901) Prec@1 56.250 (56.944) Prec@5 88.750 (85.212) Epoch: [85][280/11272] Time 0.716 (0.804) Data 0.002 (0.016) Loss 1.4478 (1.5923) Prec@1 60.625 (56.884) Prec@5 88.125 (85.182) Epoch: [85][290/11272] Time 0.804 (0.803) Data 0.001 (0.016) Loss 1.4715 (1.5921) Prec@1 61.250 (56.884) Prec@5 88.750 (85.157) Epoch: [85][300/11272] Time 0.726 (0.803) Data 0.004 (0.015) Loss 1.7176 (1.5907) Prec@1 51.875 (56.946) Prec@5 80.625 (85.179) Epoch: [85][310/11272] Time 0.719 (0.802) Data 0.002 (0.015) Loss 1.5849 (1.5916) Prec@1 55.625 (56.939) Prec@5 86.875 (85.161) Epoch: [85][320/11272] Time 0.813 (0.801) Data 0.002 (0.014) Loss 1.4205 (1.5914) Prec@1 63.125 (56.930) Prec@5 84.375 (85.160) Epoch: [85][330/11272] Time 0.854 (0.801) Data 0.002 (0.014) Loss 1.5242 (1.5913) Prec@1 58.125 (56.964) Prec@5 90.625 (85.174) Epoch: [85][340/11272] Time 0.726 (0.801) Data 0.001 (0.014) Loss 1.5956 (1.5876) Prec@1 61.250 (57.051) Prec@5 82.500 (85.225) Epoch: [85][350/11272] Time 0.723 (0.801) Data 0.001 (0.013) Loss 1.4868 (1.5906) Prec@1 58.750 (56.960) Prec@5 86.250 (85.157) Epoch: [85][360/11272] Time 0.848 (0.801) Data 0.001 (0.013) Loss 1.6774 (1.5892) Prec@1 56.250 (57.039) Prec@5 82.500 (85.140) Epoch: [85][370/11272] Time 0.809 (0.800) Data 0.001 (0.013) Loss 1.5906 (1.5908) Prec@1 60.000 (57.064) Prec@5 85.000 (85.120) Epoch: [85][380/11272] Time 0.730 (0.800) Data 0.002 (0.012) Loss 1.6486 (1.5931) Prec@1 55.625 (57.006) Prec@5 83.125 (85.066) Epoch: [85][390/11272] Time 0.798 (0.800) Data 0.002 (0.012) Loss 1.3120 (1.5905) Prec@1 61.875 (57.057) Prec@5 88.750 (85.129) Epoch: [85][400/11272] Time 0.847 (0.800) Data 0.002 (0.012) Loss 1.4652 (1.5908) Prec@1 62.500 (57.042) Prec@5 86.875 (85.128) Epoch: [85][410/11272] Time 0.860 (0.800) Data 0.002 (0.011) Loss 1.7573 (1.5912) Prec@1 57.500 (57.027) Prec@5 83.750 (85.135) Epoch: [85][420/11272] Time 0.741 (0.800) Data 0.002 (0.011) Loss 1.4692 (1.5909) Prec@1 60.625 (57.069) Prec@5 85.000 (85.120) Epoch: [85][430/11272] Time 0.885 (0.800) Data 0.001 (0.011) Loss 1.5103 (1.5898) Prec@1 56.250 (57.052) Prec@5 86.875 (85.136) Epoch: [85][440/11272] Time 0.868 (0.800) Data 0.002 (0.011) Loss 1.5017 (1.5891) Prec@1 58.125 (57.041) Prec@5 88.125 (85.166) Epoch: [85][450/11272] Time 0.746 (0.800) Data 0.001 (0.011) Loss 1.6175 (1.5884) Prec@1 53.125 (57.033) Prec@5 86.875 (85.183) Epoch: [85][460/11272] Time 0.719 (0.799) Data 0.001 (0.010) Loss 1.4507 (1.5886) Prec@1 58.750 (57.009) Prec@5 88.125 (85.167) Epoch: [85][470/11272] Time 0.864 (0.799) Data 0.002 (0.010) Loss 1.7224 (1.5888) Prec@1 55.000 (57.004) Prec@5 85.000 (85.169) Epoch: [85][480/11272] Time 0.847 (0.799) Data 0.001 (0.010) Loss 1.7153 (1.5906) Prec@1 53.750 (56.967) Prec@5 80.000 (85.129) Epoch: [85][490/11272] Time 0.748 (0.799) Data 0.002 (0.010) Loss 1.7155 (1.5915) Prec@1 59.375 (56.965) Prec@5 82.500 (85.118) Epoch: [85][500/11272] Time 0.742 (0.799) Data 0.002 (0.010) Loss 1.7505 (1.5914) Prec@1 54.375 (56.987) Prec@5 85.000 (85.130) Epoch: [85][510/11272] Time 0.867 (0.799) Data 0.002 (0.010) Loss 1.7687 (1.5914) Prec@1 57.500 (57.007) Prec@5 85.000 (85.141) Epoch: [85][520/11272] Time 0.973 (0.798) Data 0.002 (0.009) Loss 1.4417 (1.5901) Prec@1 60.000 (57.029) Prec@5 90.000 (85.162) Epoch: [85][530/11272] Time 0.770 (0.798) Data 0.002 (0.009) Loss 1.7574 (1.5902) Prec@1 51.875 (57.020) Prec@5 86.250 (85.165) Epoch: [85][540/11272] Time 0.720 (0.798) Data 0.001 (0.009) Loss 1.7008 (1.5884) Prec@1 55.625 (57.063) Prec@5 83.125 (85.201) Epoch: [85][550/11272] Time 0.874 (0.798) Data 0.001 (0.009) Loss 1.6453 (1.5890) Prec@1 57.500 (57.045) Prec@5 85.625 (85.206) Epoch: [85][560/11272] Time 0.873 (0.798) Data 0.002 (0.009) Loss 1.4860 (1.5893) Prec@1 62.500 (57.072) Prec@5 87.500 (85.188) Epoch: [85][570/11272] Time 0.752 (0.798) Data 0.001 (0.009) Loss 1.5245 (1.5907) Prec@1 60.625 (57.050) Prec@5 86.875 (85.175) Epoch: [85][580/11272] Time 0.878 (0.798) Data 0.002 (0.009) Loss 1.5543 (1.5903) Prec@1 54.375 (57.039) Prec@5 86.875 (85.180) Epoch: [85][590/11272] Time 0.854 (0.798) Data 0.001 (0.008) Loss 1.6983 (1.5910) Prec@1 57.500 (57.033) Prec@5 86.875 (85.186) Epoch: [85][600/11272] Time 0.685 (0.798) Data 0.001 (0.008) Loss 1.5682 (1.5916) Prec@1 60.000 (57.032) Prec@5 83.125 (85.176) Epoch: [85][610/11272] Time 0.769 (0.797) Data 0.003 (0.008) Loss 1.5563 (1.5931) Prec@1 58.750 (57.002) Prec@5 87.500 (85.158) Epoch: [85][620/11272] Time 0.805 (0.798) Data 0.001 (0.008) Loss 1.7082 (1.5933) Prec@1 55.625 (57.006) Prec@5 82.500 (85.149) Epoch: [85][630/11272] Time 0.868 (0.797) Data 0.002 (0.008) Loss 1.6415 (1.5940) Prec@1 56.250 (56.989) Prec@5 82.500 (85.119) Epoch: [85][640/11272] Time 0.719 (0.797) Data 0.002 (0.008) Loss 1.4935 (1.5927) Prec@1 58.750 (57.013) Prec@5 88.125 (85.143) Epoch: [85][650/11272] Time 0.775 (0.797) Data 0.001 (0.008) Loss 1.8014 (1.5928) Prec@1 52.500 (57.027) Prec@5 80.000 (85.154) Epoch: [85][660/11272] Time 0.866 (0.797) Data 0.001 (0.008) Loss 1.5836 (1.5925) Prec@1 58.125 (57.025) Prec@5 86.875 (85.157) Epoch: [85][670/11272] Time 0.830 (0.797) Data 0.001 (0.008) Loss 1.6479 (1.5924) Prec@1 57.500 (57.055) Prec@5 86.875 (85.155) Epoch: [85][680/11272] Time 0.732 (0.797) Data 0.001 (0.008) Loss 1.4435 (1.5924) Prec@1 60.000 (57.041) Prec@5 90.625 (85.162) Epoch: [85][690/11272] Time 0.740 (0.797) Data 0.001 (0.007) Loss 1.6903 (1.5932) Prec@1 55.625 (57.025) Prec@5 81.250 (85.147) Epoch: [85][700/11272] Time 0.854 (0.797) Data 0.001 (0.007) Loss 1.8020 (1.5933) Prec@1 54.375 (57.017) Prec@5 83.125 (85.160) Epoch: [85][710/11272] Time 0.728 (0.797) Data 0.002 (0.007) Loss 1.8197 (1.5928) Prec@1 55.000 (57.024) Prec@5 80.625 (85.172) Epoch: [85][720/11272] Time 0.707 (0.797) Data 0.002 (0.007) Loss 1.7239 (1.5924) Prec@1 52.500 (57.032) Prec@5 85.625 (85.186) Epoch: [85][730/11272] Time 0.849 (0.797) Data 0.002 (0.007) Loss 1.5659 (1.5924) Prec@1 59.375 (57.049) Prec@5 83.750 (85.179) Epoch: [85][740/11272] Time 0.827 (0.797) Data 0.002 (0.007) Loss 1.4670 (1.5922) Prec@1 56.250 (57.039) Prec@5 86.875 (85.186) Epoch: [85][750/11272] Time 0.733 (0.797) Data 0.001 (0.007) Loss 1.6390 (1.5928) Prec@1 60.000 (57.035) Prec@5 83.750 (85.186) Epoch: [85][760/11272] Time 0.727 (0.797) Data 0.002 (0.007) Loss 1.6631 (1.5924) Prec@1 56.250 (57.043) Prec@5 84.375 (85.200) Epoch: [85][770/11272] Time 0.818 (0.797) Data 0.001 (0.007) Loss 1.4362 (1.5921) Prec@1 63.125 (57.023) Prec@5 85.000 (85.204) Epoch: [85][780/11272] Time 0.811 (0.797) Data 0.001 (0.007) Loss 1.3722 (1.5912) Prec@1 61.250 (57.052) Prec@5 90.625 (85.217) Epoch: [85][790/11272] Time 0.731 (0.797) Data 0.001 (0.007) Loss 1.4117 (1.5908) Prec@1 60.000 (57.059) Prec@5 86.250 (85.226) Epoch: [85][800/11272] Time 0.742 (0.797) Data 0.002 (0.007) Loss 1.6627 (1.5908) Prec@1 56.250 (57.081) Prec@5 83.125 (85.215) Epoch: [85][810/11272] Time 0.879 (0.797) Data 0.002 (0.007) Loss 1.6250 (1.5907) Prec@1 56.875 (57.069) Prec@5 83.750 (85.209) Epoch: [85][820/11272] Time 0.868 (0.797) Data 0.001 (0.007) Loss 1.6752 (1.5908) Prec@1 52.500 (57.071) Prec@5 83.750 (85.209) Epoch: [85][830/11272] Time 0.728 (0.797) Data 0.001 (0.006) Loss 1.5191 (1.5910) Prec@1 59.375 (57.049) Prec@5 86.250 (85.214) Epoch: [85][840/11272] Time 0.918 (0.797) Data 0.001 (0.006) Loss 1.6647 (1.5909) Prec@1 53.125 (57.032) Prec@5 86.250 (85.221) Epoch: [85][850/11272] Time 0.901 (0.797) Data 0.001 (0.006) Loss 1.6179 (1.5912) Prec@1 55.625 (57.024) Prec@5 86.250 (85.217) Epoch: [85][860/11272] Time 0.726 (0.797) Data 0.001 (0.006) Loss 1.6358 (1.5912) Prec@1 57.500 (57.037) Prec@5 83.125 (85.213) Epoch: [85][870/11272] Time 0.717 (0.797) Data 0.001 (0.006) Loss 1.6130 (1.5914) Prec@1 58.125 (57.043) Prec@5 83.750 (85.210) Epoch: [85][880/11272] Time 0.835 (0.797) Data 0.001 (0.006) Loss 1.4995 (1.5913) Prec@1 58.125 (57.029) Prec@5 85.625 (85.221) Epoch: [85][890/11272] Time 0.840 (0.797) Data 0.001 (0.006) Loss 1.3516 (1.5910) Prec@1 58.750 (57.028) Prec@5 90.000 (85.220) Epoch: [85][900/11272] Time 0.754 (0.797) Data 0.001 (0.006) Loss 1.4483 (1.5905) Prec@1 58.750 (57.039) Prec@5 85.625 (85.222) Epoch: [85][910/11272] Time 0.734 (0.797) Data 0.002 (0.006) Loss 1.5601 (1.5909) Prec@1 56.875 (57.040) Prec@5 88.125 (85.219) Epoch: [85][920/11272] Time 0.869 (0.797) Data 0.002 (0.006) Loss 1.6614 (1.5912) Prec@1 56.875 (57.030) Prec@5 83.125 (85.205) Epoch: [85][930/11272] Time 0.831 (0.797) Data 0.002 (0.006) Loss 1.6223 (1.5915) Prec@1 59.375 (57.013) Prec@5 84.375 (85.207) Epoch: [85][940/11272] Time 0.748 (0.797) Data 0.002 (0.006) Loss 1.7047 (1.5921) Prec@1 56.875 (56.999) Prec@5 82.500 (85.192) Epoch: [85][950/11272] Time 0.744 (0.797) Data 0.002 (0.006) Loss 1.5121 (1.5931) Prec@1 54.375 (56.966) Prec@5 86.250 (85.178) Epoch: [85][960/11272] Time 0.885 (0.797) Data 0.001 (0.006) Loss 1.6546 (1.5937) Prec@1 56.250 (56.935) Prec@5 83.750 (85.170) Epoch: [85][970/11272] Time 0.729 (0.797) Data 0.003 (0.006) Loss 1.4928 (1.5930) Prec@1 55.625 (56.950) Prec@5 90.625 (85.182) Epoch: [85][980/11272] Time 0.743 (0.797) Data 0.002 (0.006) Loss 1.6441 (1.5924) Prec@1 55.625 (56.956) Prec@5 85.625 (85.189) Epoch: [85][990/11272] Time 0.840 (0.797) Data 0.001 (0.006) Loss 1.6003 (1.5924) Prec@1 56.250 (56.965) Prec@5 85.000 (85.200) Epoch: [85][1000/11272] Time 0.834 (0.797) Data 0.002 (0.006) Loss 1.8104 (1.5930) Prec@1 51.875 (56.949) Prec@5 81.250 (85.189) Epoch: [85][1010/11272] Time 0.718 (0.797) Data 0.001 (0.006) Loss 1.5447 (1.5928) Prec@1 58.750 (56.944) Prec@5 86.875 (85.197) Epoch: [85][1020/11272] Time 0.719 (0.797) Data 0.002 (0.006) Loss 1.5878 (1.5929) Prec@1 60.000 (56.952) Prec@5 83.750 (85.193) Epoch: [85][1030/11272] Time 0.825 (0.797) Data 0.002 (0.006) Loss 1.7467 (1.5930) Prec@1 55.000 (56.957) Prec@5 82.500 (85.195) Epoch: [85][1040/11272] Time 0.833 (0.797) Data 0.001 (0.005) Loss 1.7698 (1.5935) Prec@1 48.125 (56.947) Prec@5 80.000 (85.180) Epoch: [85][1050/11272] Time 0.755 (0.797) Data 0.001 (0.005) Loss 1.6479 (1.5941) Prec@1 64.375 (56.948) Prec@5 80.000 (85.161) Epoch: [85][1060/11272] Time 0.707 (0.797) Data 0.001 (0.005) Loss 1.4535 (1.5942) Prec@1 57.500 (56.947) Prec@5 86.875 (85.158) Epoch: [85][1070/11272] Time 0.825 (0.797) Data 0.001 (0.005) Loss 1.7126 (1.5939) Prec@1 53.125 (56.956) Prec@5 81.250 (85.148) Epoch: [85][1080/11272] Time 0.836 (0.796) Data 0.001 (0.005) Loss 1.3847 (1.5938) Prec@1 61.250 (56.963) Prec@5 89.375 (85.147) Epoch: [85][1090/11272] Time 0.725 (0.796) Data 0.002 (0.005) Loss 1.6383 (1.5945) Prec@1 53.750 (56.939) Prec@5 81.250 (85.131) Epoch: [85][1100/11272] Time 0.876 (0.796) Data 0.002 (0.005) Loss 1.4505 (1.5949) Prec@1 56.250 (56.933) Prec@5 90.000 (85.125) Epoch: [85][1110/11272] Time 0.885 (0.797) Data 0.002 (0.005) Loss 1.4788 (1.5949) Prec@1 64.375 (56.926) Prec@5 87.500 (85.127) Epoch: [85][1120/11272] Time 0.739 (0.796) Data 0.001 (0.005) Loss 1.6399 (1.5951) Prec@1 56.875 (56.926) Prec@5 85.000 (85.113) Epoch: [85][1130/11272] Time 0.752 (0.797) Data 0.001 (0.005) Loss 1.5726 (1.5946) Prec@1 60.000 (56.945) Prec@5 88.750 (85.123) Epoch: [85][1140/11272] Time 0.934 (0.797) Data 0.002 (0.005) Loss 1.6548 (1.5948) Prec@1 56.875 (56.946) Prec@5 82.500 (85.119) Epoch: [85][1150/11272] Time 0.840 (0.797) Data 0.001 (0.005) Loss 1.6184 (1.5952) Prec@1 59.375 (56.940) Prec@5 88.750 (85.121) Epoch: [85][1160/11272] Time 0.728 (0.797) Data 0.001 (0.005) Loss 1.4964 (1.5951) Prec@1 63.125 (56.943) Prec@5 87.500 (85.127) Epoch: [85][1170/11272] Time 0.738 (0.797) Data 0.001 (0.005) Loss 1.3514 (1.5952) Prec@1 63.125 (56.938) Prec@5 90.000 (85.130) Epoch: [85][1180/11272] Time 0.848 (0.797) Data 0.001 (0.005) Loss 1.7525 (1.5954) Prec@1 55.000 (56.940) Prec@5 81.875 (85.126) Epoch: [85][1190/11272] Time 0.825 (0.797) Data 0.001 (0.005) Loss 1.6188 (1.5953) Prec@1 57.500 (56.938) Prec@5 84.375 (85.135) Epoch: [85][1200/11272] Time 0.727 (0.797) Data 0.002 (0.005) Loss 1.5473 (1.5958) Prec@1 55.625 (56.923) Prec@5 88.125 (85.123) Epoch: [85][1210/11272] Time 0.717 (0.796) Data 0.001 (0.005) Loss 1.4134 (1.5950) Prec@1 57.500 (56.956) Prec@5 90.000 (85.132) Epoch: [85][1220/11272] Time 0.909 (0.797) Data 0.002 (0.005) Loss 1.5533 (1.5953) Prec@1 55.000 (56.954) Prec@5 86.875 (85.137) Epoch: [85][1230/11272] Time 0.726 (0.797) Data 0.003 (0.005) Loss 1.7317 (1.5955) Prec@1 53.125 (56.953) Prec@5 82.500 (85.128) Epoch: [85][1240/11272] Time 0.711 (0.797) Data 0.001 (0.005) Loss 1.7542 (1.5953) Prec@1 51.250 (56.957) Prec@5 81.875 (85.132) Epoch: [85][1250/11272] Time 0.859 (0.797) Data 0.002 (0.005) Loss 1.7621 (1.5952) Prec@1 54.375 (56.965) Prec@5 83.125 (85.136) Epoch: [85][1260/11272] Time 0.828 (0.797) Data 0.002 (0.005) Loss 1.6432 (1.5954) Prec@1 59.375 (56.960) Prec@5 82.500 (85.131) Epoch: [85][1270/11272] Time 0.718 (0.797) Data 0.001 (0.005) Loss 1.6457 (1.5948) Prec@1 56.875 (56.977) Prec@5 85.625 (85.148) Epoch: [85][1280/11272] Time 0.724 (0.797) Data 0.001 (0.005) Loss 1.5856 (1.5951) Prec@1 59.375 (56.978) Prec@5 81.250 (85.133) Epoch: [85][1290/11272] Time 0.882 (0.797) Data 0.002 (0.005) Loss 1.3175 (1.5945) Prec@1 61.875 (57.000) Prec@5 88.125 (85.142) Epoch: [85][1300/11272] Time 0.855 (0.797) Data 0.001 (0.005) Loss 1.3989 (1.5940) Prec@1 65.000 (57.009) Prec@5 90.625 (85.157) Epoch: [85][1310/11272] Time 0.752 (0.797) Data 0.002 (0.005) Loss 1.4437 (1.5938) Prec@1 63.750 (57.019) Prec@5 88.750 (85.163) Epoch: [85][1320/11272] Time 0.725 (0.797) Data 0.002 (0.005) Loss 1.4959 (1.5934) Prec@1 63.750 (57.026) Prec@5 85.625 (85.168) Epoch: [85][1330/11272] Time 0.905 (0.797) Data 0.002 (0.005) Loss 1.4921 (1.5940) Prec@1 61.250 (57.021) Prec@5 85.000 (85.155) Epoch: [85][1340/11272] Time 0.895 (0.797) Data 0.001 (0.005) Loss 1.7779 (1.5942) Prec@1 53.750 (57.016) Prec@5 82.500 (85.147) Epoch: [85][1350/11272] Time 0.732 (0.797) Data 0.001 (0.005) Loss 1.5937 (1.5940) Prec@1 57.500 (57.021) Prec@5 86.250 (85.149) Epoch: [85][1360/11272] Time 0.835 (0.797) Data 0.002 (0.005) Loss 1.6611 (1.5939) Prec@1 56.250 (57.025) Prec@5 85.625 (85.149) Epoch: [85][1370/11272] Time 0.859 (0.797) Data 0.002 (0.005) Loss 1.4798 (1.5940) Prec@1 61.250 (57.017) Prec@5 85.000 (85.151) Epoch: [85][1380/11272] Time 0.730 (0.797) Data 0.001 (0.005) Loss 1.4350 (1.5936) Prec@1 57.500 (57.023) Prec@5 86.875 (85.153) Epoch: [85][1390/11272] Time 0.703 (0.797) Data 0.001 (0.005) Loss 1.5418 (1.5938) Prec@1 57.500 (57.021) Prec@5 86.250 (85.149) Epoch: [85][1400/11272] Time 0.859 (0.797) Data 0.001 (0.004) Loss 1.7304 (1.5940) Prec@1 55.625 (57.010) Prec@5 85.000 (85.149) Epoch: [85][1410/11272] Time 0.835 (0.797) Data 0.001 (0.004) Loss 1.5781 (1.5941) Prec@1 57.500 (57.002) Prec@5 88.125 (85.149) Epoch: [85][1420/11272] Time 0.723 (0.797) Data 0.001 (0.004) Loss 1.4305 (1.5936) Prec@1 60.000 (57.016) Prec@5 88.125 (85.160) Epoch: [85][1430/11272] Time 0.756 (0.797) Data 0.002 (0.004) Loss 1.4878 (1.5931) Prec@1 58.750 (57.028) Prec@5 86.875 (85.159) Epoch: [85][1440/11272] Time 0.816 (0.797) Data 0.001 (0.004) Loss 1.8602 (1.5934) Prec@1 52.500 (57.024) Prec@5 81.250 (85.155) Epoch: [85][1450/11272] Time 0.836 (0.797) Data 0.001 (0.004) Loss 1.6481 (1.5934) Prec@1 57.500 (57.021) Prec@5 83.125 (85.155) Epoch: [85][1460/11272] Time 0.737 (0.797) Data 0.002 (0.004) Loss 1.5038 (1.5940) Prec@1 58.125 (57.008) Prec@5 86.250 (85.149) Epoch: [85][1470/11272] Time 0.704 (0.797) Data 0.001 (0.004) Loss 1.5707 (1.5945) Prec@1 58.125 (57.006) Prec@5 84.375 (85.140) Epoch: [85][1480/11272] Time 0.853 (0.797) Data 0.002 (0.004) Loss 1.5630 (1.5941) Prec@1 56.250 (57.011) Prec@5 84.375 (85.142) Epoch: [85][1490/11272] Time 0.816 (0.797) Data 0.001 (0.004) Loss 1.4666 (1.5938) Prec@1 58.750 (57.027) Prec@5 87.500 (85.148) Epoch: [85][1500/11272] Time 0.728 (0.797) Data 0.001 (0.004) Loss 1.6866 (1.5938) Prec@1 51.250 (57.038) Prec@5 82.500 (85.152) Epoch: [85][1510/11272] Time 0.877 (0.797) Data 0.001 (0.004) Loss 1.5175 (1.5940) Prec@1 61.875 (57.029) Prec@5 85.000 (85.151) Epoch: [85][1520/11272] Time 0.872 (0.797) Data 0.002 (0.004) Loss 1.7979 (1.5943) Prec@1 53.750 (57.019) Prec@5 81.875 (85.148) Epoch: [85][1530/11272] Time 0.750 (0.797) Data 0.001 (0.004) Loss 1.4815 (1.5939) Prec@1 60.625 (57.031) Prec@5 91.250 (85.158) Epoch: [85][1540/11272] Time 0.738 (0.797) Data 0.002 (0.004) Loss 1.4158 (1.5934) Prec@1 63.125 (57.036) Prec@5 86.875 (85.169) Epoch: [85][1550/11272] Time 0.890 (0.797) Data 0.002 (0.004) Loss 1.3866 (1.5933) Prec@1 58.750 (57.037) Prec@5 88.125 (85.179) Epoch: [85][1560/11272] Time 0.832 (0.797) Data 0.001 (0.004) Loss 1.3738 (1.5928) Prec@1 61.875 (57.043) Prec@5 91.875 (85.190) Epoch: [85][1570/11272] Time 0.722 (0.797) Data 0.001 (0.004) Loss 1.5574 (1.5931) Prec@1 58.125 (57.028) Prec@5 83.750 (85.180) Epoch: [85][1580/11272] Time 0.773 (0.797) Data 0.002 (0.004) Loss 1.4059 (1.5925) Prec@1 63.125 (57.042) Prec@5 88.750 (85.188) Epoch: [85][1590/11272] Time 0.831 (0.797) Data 0.001 (0.004) Loss 1.4315 (1.5928) Prec@1 63.750 (57.035) Prec@5 86.875 (85.182) Epoch: [85][1600/11272] Time 0.852 (0.797) Data 0.001 (0.004) Loss 1.5712 (1.5928) Prec@1 56.250 (57.035) Prec@5 84.375 (85.182) Epoch: [85][1610/11272] Time 0.736 (0.797) Data 0.002 (0.004) Loss 1.4716 (1.5923) Prec@1 56.875 (57.041) Prec@5 88.750 (85.192) Epoch: [85][1620/11272] Time 0.764 (0.797) Data 0.002 (0.004) Loss 1.5648 (1.5923) Prec@1 55.625 (57.049) Prec@5 85.000 (85.194) Epoch: [85][1630/11272] Time 0.877 (0.797) Data 0.001 (0.004) Loss 1.7836 (1.5922) Prec@1 53.750 (57.041) Prec@5 81.875 (85.192) Epoch: [85][1640/11272] Time 0.705 (0.797) Data 0.001 (0.004) Loss 1.7010 (1.5920) Prec@1 53.750 (57.054) Prec@5 84.375 (85.190) Epoch: [85][1650/11272] Time 0.723 (0.797) Data 0.002 (0.004) Loss 1.4784 (1.5919) Prec@1 58.125 (57.055) Prec@5 89.375 (85.194) Epoch: [85][1660/11272] Time 0.876 (0.797) Data 0.001 (0.004) Loss 1.6274 (1.5922) Prec@1 58.125 (57.057) Prec@5 82.500 (85.189) Epoch: [85][1670/11272] Time 0.898 (0.797) Data 0.002 (0.004) Loss 1.7157 (1.5920) Prec@1 53.125 (57.061) Prec@5 81.250 (85.190) Epoch: [85][1680/11272] Time 0.722 (0.797) Data 0.002 (0.004) Loss 1.8178 (1.5921) Prec@1 50.000 (57.059) Prec@5 81.250 (85.189) Epoch: [85][1690/11272] Time 0.758 (0.797) Data 0.002 (0.004) Loss 1.8009 (1.5923) Prec@1 54.375 (57.055) Prec@5 85.000 (85.187) Epoch: [85][1700/11272] Time 0.857 (0.797) Data 0.002 (0.004) Loss 1.4377 (1.5927) Prec@1 55.625 (57.055) Prec@5 87.500 (85.182) Epoch: [85][1710/11272] Time 0.843 (0.797) Data 0.002 (0.004) Loss 1.6965 (1.5931) Prec@1 55.625 (57.060) Prec@5 84.375 (85.179) Epoch: [85][1720/11272] Time 0.761 (0.797) Data 0.001 (0.004) Loss 1.6039 (1.5929) Prec@1 58.125 (57.059) Prec@5 83.125 (85.182) Epoch: [85][1730/11272] Time 0.745 (0.797) Data 0.002 (0.004) Loss 1.5180 (1.5930) Prec@1 58.125 (57.060) Prec@5 86.875 (85.182) Epoch: [85][1740/11272] Time 0.844 (0.797) Data 0.002 (0.004) Loss 1.7267 (1.5928) Prec@1 53.750 (57.067) Prec@5 83.750 (85.183) Epoch: [85][1750/11272] Time 0.879 (0.797) Data 0.002 (0.004) Loss 1.4996 (1.5927) Prec@1 56.875 (57.064) Prec@5 85.625 (85.186) Epoch: [85][1760/11272] Time 0.702 (0.797) Data 0.001 (0.004) Loss 1.6704 (1.5928) Prec@1 55.000 (57.056) Prec@5 82.500 (85.183) Epoch: [85][1770/11272] Time 0.868 (0.797) Data 0.001 (0.004) Loss 1.7117 (1.5926) Prec@1 56.250 (57.058) Prec@5 83.750 (85.186) Epoch: [85][1780/11272] Time 0.811 (0.797) Data 0.001 (0.004) Loss 1.4799 (1.5921) Prec@1 59.375 (57.068) Prec@5 88.125 (85.195) Epoch: [85][1790/11272] Time 0.759 (0.796) Data 0.002 (0.004) Loss 1.6776 (1.5922) Prec@1 52.500 (57.062) Prec@5 85.000 (85.194) Epoch: [85][1800/11272] Time 0.733 (0.796) Data 0.002 (0.004) Loss 1.5648 (1.5922) Prec@1 54.375 (57.059) Prec@5 87.500 (85.199) Epoch: [85][1810/11272] Time 0.829 (0.796) Data 0.001 (0.004) Loss 1.6998 (1.5920) Prec@1 53.750 (57.058) Prec@5 82.500 (85.203) Epoch: [85][1820/11272] Time 0.810 (0.796) Data 0.001 (0.004) Loss 1.5873 (1.5916) Prec@1 58.750 (57.064) Prec@5 86.250 (85.205) Epoch: [85][1830/11272] Time 0.740 (0.796) Data 0.002 (0.004) Loss 1.5624 (1.5915) Prec@1 56.875 (57.063) Prec@5 87.500 (85.210) Epoch: [85][1840/11272] Time 0.736 (0.796) Data 0.002 (0.004) Loss 1.6141 (1.5916) Prec@1 56.250 (57.061) Prec@5 85.000 (85.211) Epoch: [85][1850/11272] Time 0.876 (0.796) Data 0.002 (0.004) Loss 1.8166 (1.5919) Prec@1 50.625 (57.053) Prec@5 80.000 (85.203) Epoch: [85][1860/11272] Time 0.860 (0.796) Data 0.002 (0.004) Loss 1.5950 (1.5918) Prec@1 58.125 (57.055) Prec@5 87.500 (85.205) Epoch: [85][1870/11272] Time 0.738 (0.796) Data 0.001 (0.004) Loss 1.8518 (1.5919) Prec@1 50.000 (57.052) Prec@5 81.250 (85.203) Epoch: [85][1880/11272] Time 0.713 (0.796) Data 0.002 (0.004) Loss 1.6861 (1.5919) Prec@1 55.625 (57.058) Prec@5 83.750 (85.204) Epoch: [85][1890/11272] Time 0.850 (0.796) Data 0.001 (0.004) Loss 1.6870 (1.5923) Prec@1 58.125 (57.047) Prec@5 81.250 (85.196) Epoch: [85][1900/11272] Time 0.726 (0.796) Data 0.004 (0.004) Loss 1.6427 (1.5925) Prec@1 58.125 (57.046) Prec@5 85.000 (85.198) Epoch: [85][1910/11272] Time 0.725 (0.796) Data 0.001 (0.004) Loss 1.3598 (1.5924) Prec@1 61.875 (57.054) Prec@5 88.750 (85.199) Epoch: [85][1920/11272] Time 0.849 (0.796) Data 0.001 (0.004) Loss 1.6683 (1.5923) Prec@1 58.125 (57.061) Prec@5 85.000 (85.199) Epoch: [85][1930/11272] Time 0.844 (0.796) Data 0.002 (0.004) Loss 1.4100 (1.5923) Prec@1 58.125 (57.065) Prec@5 90.625 (85.198) Epoch: [85][1940/11272] Time 0.719 (0.796) Data 0.002 (0.004) Loss 1.5366 (1.5923) Prec@1 55.000 (57.061) Prec@5 86.250 (85.198) Epoch: [85][1950/11272] Time 0.734 (0.796) Data 0.001 (0.004) Loss 1.5372 (1.5923) Prec@1 58.750 (57.065) Prec@5 86.250 (85.201) Epoch: [85][1960/11272] Time 0.820 (0.796) Data 0.002 (0.004) Loss 1.6312 (1.5924) Prec@1 60.000 (57.062) Prec@5 84.375 (85.205) Epoch: [85][1970/11272] Time 0.833 (0.796) Data 0.001 (0.004) Loss 1.7699 (1.5923) Prec@1 49.375 (57.063) Prec@5 81.875 (85.208) Epoch: [85][1980/11272] Time 0.723 (0.796) Data 0.002 (0.004) Loss 1.5518 (1.5924) Prec@1 55.000 (57.054) Prec@5 88.125 (85.208) Epoch: [85][1990/11272] Time 0.742 (0.796) Data 0.001 (0.004) Loss 1.5961 (1.5923) Prec@1 56.250 (57.057) Prec@5 84.375 (85.213) Epoch: [85][2000/11272] Time 0.862 (0.796) Data 0.002 (0.004) Loss 1.7581 (1.5922) Prec@1 49.375 (57.055) Prec@5 86.250 (85.216) Epoch: [85][2010/11272] Time 0.809 (0.796) Data 0.001 (0.004) Loss 1.7378 (1.5924) Prec@1 52.500 (57.051) Prec@5 83.125 (85.212) Epoch: [85][2020/11272] Time 0.734 (0.796) Data 0.002 (0.004) Loss 1.6168 (1.5925) Prec@1 58.125 (57.050) Prec@5 85.625 (85.214) Epoch: [85][2030/11272] Time 0.861 (0.796) Data 0.001 (0.004) Loss 1.6498 (1.5926) Prec@1 55.625 (57.043) Prec@5 81.875 (85.216) Epoch: [85][2040/11272] Time 0.877 (0.796) Data 0.002 (0.004) Loss 1.4469 (1.5924) Prec@1 61.875 (57.046) Prec@5 90.000 (85.220) Epoch: [85][2050/11272] Time 0.729 (0.796) Data 0.001 (0.004) Loss 1.5888 (1.5924) Prec@1 60.000 (57.045) Prec@5 85.625 (85.223) Epoch: [85][2060/11272] Time 0.726 (0.796) Data 0.002 (0.004) Loss 1.4570 (1.5924) Prec@1 57.500 (57.045) Prec@5 86.875 (85.223) Epoch: [85][2070/11272] Time 0.841 (0.796) Data 0.001 (0.004) Loss 1.6566 (1.5924) Prec@1 55.000 (57.041) Prec@5 83.125 (85.222) Epoch: [85][2080/11272] Time 0.907 (0.796) Data 0.001 (0.004) Loss 1.5052 (1.5926) Prec@1 59.375 (57.034) Prec@5 84.375 (85.220) Epoch: [85][2090/11272] Time 0.757 (0.796) Data 0.002 (0.004) Loss 1.7225 (1.5928) Prec@1 57.500 (57.022) Prec@5 83.750 (85.214) Epoch: [85][2100/11272] Time 0.723 (0.796) Data 0.001 (0.004) Loss 1.6317 (1.5929) Prec@1 57.500 (57.022) Prec@5 81.875 (85.212) Epoch: [85][2110/11272] Time 0.892 (0.796) Data 0.002 (0.004) Loss 1.5031 (1.5933) Prec@1 56.250 (57.016) Prec@5 84.375 (85.201) Epoch: [85][2120/11272] Time 0.824 (0.796) Data 0.001 (0.003) Loss 1.6284 (1.5933) Prec@1 56.250 (57.011) Prec@5 86.250 (85.205) Epoch: [85][2130/11272] Time 0.752 (0.796) Data 0.001 (0.003) Loss 1.4588 (1.5933) Prec@1 58.750 (57.012) Prec@5 83.750 (85.204) Epoch: [85][2140/11272] Time 0.718 (0.796) Data 0.002 (0.003) Loss 1.8609 (1.5934) Prec@1 55.000 (57.012) Prec@5 81.875 (85.205) Epoch: [85][2150/11272] Time 0.896 (0.796) Data 0.002 (0.003) Loss 1.5365 (1.5928) Prec@1 58.750 (57.030) Prec@5 85.625 (85.214) Epoch: [85][2160/11272] Time 0.720 (0.796) Data 0.003 (0.003) Loss 1.4854 (1.5928) Prec@1 55.000 (57.023) Prec@5 87.500 (85.215) Epoch: [85][2170/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 1.3427 (1.5930) Prec@1 61.250 (57.019) Prec@5 90.625 (85.212) Epoch: [85][2180/11272] Time 0.942 (0.796) Data 0.001 (0.003) Loss 1.6028 (1.5930) Prec@1 60.625 (57.025) Prec@5 83.125 (85.209) Epoch: [85][2190/11272] Time 0.815 (0.796) Data 0.001 (0.003) Loss 1.7188 (1.5928) Prec@1 57.500 (57.026) Prec@5 83.750 (85.210) Epoch: [85][2200/11272] Time 0.746 (0.796) Data 0.002 (0.003) Loss 1.4145 (1.5927) Prec@1 60.000 (57.028) Prec@5 87.500 (85.216) Epoch: [85][2210/11272] Time 0.763 (0.796) Data 0.001 (0.003) Loss 1.6291 (1.5928) Prec@1 54.375 (57.020) Prec@5 86.875 (85.217) Epoch: [85][2220/11272] Time 0.909 (0.796) Data 0.002 (0.003) Loss 1.4756 (1.5927) Prec@1 63.125 (57.025) Prec@5 88.125 (85.219) Epoch: [85][2230/11272] Time 0.837 (0.796) Data 0.002 (0.003) Loss 1.6184 (1.5929) Prec@1 60.000 (57.017) Prec@5 81.875 (85.218) Epoch: [85][2240/11272] Time 0.738 (0.796) Data 0.002 (0.003) Loss 1.5355 (1.5929) Prec@1 60.625 (57.019) Prec@5 86.250 (85.219) Epoch: [85][2250/11272] Time 0.742 (0.796) Data 0.001 (0.003) Loss 1.5215 (1.5931) Prec@1 60.000 (57.012) Prec@5 85.000 (85.218) Epoch: [85][2260/11272] Time 0.875 (0.796) Data 0.001 (0.003) Loss 1.6590 (1.5935) Prec@1 56.250 (57.011) Prec@5 81.875 (85.209) Epoch: [85][2270/11272] Time 0.860 (0.796) Data 0.001 (0.003) Loss 1.7059 (1.5935) Prec@1 53.750 (57.003) Prec@5 83.750 (85.208) Epoch: [85][2280/11272] Time 0.709 (0.796) Data 0.002 (0.003) Loss 1.5055 (1.5933) Prec@1 58.125 (57.008) Prec@5 90.625 (85.212) Epoch: [85][2290/11272] Time 0.854 (0.796) Data 0.002 (0.003) Loss 1.5154 (1.5934) Prec@1 56.875 (57.006) Prec@5 86.250 (85.208) Epoch: [85][2300/11272] Time 0.870 (0.796) Data 0.002 (0.003) Loss 1.5689 (1.5934) Prec@1 58.750 (57.011) Prec@5 85.625 (85.207) Epoch: [85][2310/11272] Time 0.731 (0.796) Data 0.001 (0.003) Loss 1.6391 (1.5934) Prec@1 55.000 (57.013) Prec@5 85.000 (85.207) Epoch: [85][2320/11272] Time 0.760 (0.796) Data 0.001 (0.003) Loss 1.4956 (1.5934) Prec@1 55.625 (57.011) Prec@5 88.125 (85.209) Epoch: [85][2330/11272] Time 0.850 (0.796) Data 0.002 (0.003) Loss 1.6007 (1.5935) Prec@1 52.500 (57.010) Prec@5 85.625 (85.202) Epoch: [85][2340/11272] Time 0.947 (0.796) Data 0.002 (0.003) Loss 1.5354 (1.5935) Prec@1 58.125 (57.006) Prec@5 84.375 (85.199) Epoch: [85][2350/11272] Time 0.725 (0.796) Data 0.002 (0.003) Loss 1.4375 (1.5936) Prec@1 57.500 (57.002) Prec@5 86.875 (85.194) Epoch: [85][2360/11272] Time 0.743 (0.796) Data 0.002 (0.003) Loss 1.7885 (1.5938) Prec@1 54.375 (56.997) Prec@5 82.500 (85.195) Epoch: [85][2370/11272] Time 0.832 (0.796) Data 0.002 (0.003) Loss 1.7381 (1.5941) Prec@1 53.750 (56.988) Prec@5 80.000 (85.184) Epoch: [85][2380/11272] Time 0.937 (0.796) Data 0.001 (0.003) Loss 1.5426 (1.5941) Prec@1 65.625 (56.994) Prec@5 81.875 (85.181) Epoch: [85][2390/11272] Time 0.745 (0.796) Data 0.001 (0.003) Loss 1.7348 (1.5939) Prec@1 51.250 (57.000) Prec@5 78.750 (85.184) Epoch: [85][2400/11272] Time 0.742 (0.796) Data 0.001 (0.003) Loss 1.4963 (1.5937) Prec@1 61.250 (57.008) Prec@5 85.625 (85.190) Epoch: [85][2410/11272] Time 0.834 (0.796) Data 0.001 (0.003) Loss 1.3764 (1.5937) Prec@1 59.375 (57.014) Prec@5 86.875 (85.188) Epoch: [85][2420/11272] Time 0.835 (0.796) Data 0.001 (0.003) Loss 1.5633 (1.5938) Prec@1 59.375 (57.006) Prec@5 85.000 (85.187) Epoch: [85][2430/11272] Time 0.713 (0.796) Data 0.002 (0.003) Loss 1.6007 (1.5938) Prec@1 59.375 (57.009) Prec@5 83.750 (85.185) Epoch: [85][2440/11272] Time 0.848 (0.796) Data 0.001 (0.003) Loss 1.4861 (1.5935) Prec@1 56.250 (57.008) Prec@5 86.875 (85.189) Epoch: [85][2450/11272] Time 0.872 (0.796) Data 0.002 (0.003) Loss 2.0118 (1.5937) Prec@1 46.875 (57.004) Prec@5 75.000 (85.183) Epoch: [85][2460/11272] Time 0.724 (0.796) Data 0.001 (0.003) Loss 1.6025 (1.5939) Prec@1 54.375 (57.000) Prec@5 86.250 (85.186) Epoch: [85][2470/11272] Time 0.732 (0.796) Data 0.001 (0.003) Loss 1.7424 (1.5937) Prec@1 56.250 (57.005) Prec@5 80.625 (85.187) Epoch: [85][2480/11272] Time 0.841 (0.796) Data 0.002 (0.003) Loss 1.6152 (1.5940) Prec@1 53.125 (56.995) Prec@5 86.250 (85.187) Epoch: [85][2490/11272] Time 0.878 (0.796) Data 0.002 (0.003) Loss 1.5943 (1.5941) Prec@1 58.750 (56.999) Prec@5 85.625 (85.187) Epoch: [85][2500/11272] Time 0.748 (0.796) Data 0.002 (0.003) Loss 1.5340 (1.5940) Prec@1 61.875 (57.000) Prec@5 83.750 (85.192) Epoch: [85][2510/11272] Time 0.738 (0.796) Data 0.001 (0.003) Loss 1.7361 (1.5943) Prec@1 54.375 (56.998) Prec@5 83.125 (85.192) Epoch: [85][2520/11272] Time 0.818 (0.796) Data 0.001 (0.003) Loss 1.8221 (1.5944) Prec@1 53.125 (56.993) Prec@5 79.375 (85.187) Epoch: [85][2530/11272] Time 0.840 (0.796) Data 0.002 (0.003) Loss 1.5670 (1.5944) Prec@1 56.875 (56.995) Prec@5 87.500 (85.183) Epoch: [85][2540/11272] Time 0.728 (0.796) Data 0.001 (0.003) Loss 1.4719 (1.5944) Prec@1 58.125 (56.994) Prec@5 86.250 (85.182) Epoch: [85][2550/11272] Time 0.701 (0.796) Data 0.001 (0.003) Loss 1.4405 (1.5944) Prec@1 56.250 (56.993) Prec@5 90.625 (85.185) Epoch: [85][2560/11272] Time 0.836 (0.795) Data 0.001 (0.003) Loss 1.7949 (1.5944) Prec@1 51.875 (56.989) Prec@5 82.500 (85.187) Epoch: [85][2570/11272] Time 0.738 (0.795) Data 0.001 (0.003) Loss 1.4138 (1.5946) Prec@1 60.625 (56.979) Prec@5 88.750 (85.184) Epoch: [85][2580/11272] Time 0.716 (0.795) Data 0.002 (0.003) Loss 1.5685 (1.5944) Prec@1 56.875 (56.983) Prec@5 82.500 (85.187) Epoch: [85][2590/11272] Time 0.878 (0.796) Data 0.002 (0.003) Loss 1.5085 (1.5945) Prec@1 58.125 (56.981) Prec@5 86.875 (85.188) Epoch: [85][2600/11272] Time 0.839 (0.796) Data 0.002 (0.003) Loss 1.7054 (1.5947) Prec@1 55.625 (56.979) Prec@5 81.250 (85.185) Epoch: [85][2610/11272] Time 0.839 (0.796) Data 0.002 (0.003) Loss 1.6391 (1.5947) Prec@1 55.625 (56.974) Prec@5 86.875 (85.182) Epoch: [85][2620/11272] Time 0.718 (0.796) Data 0.002 (0.003) Loss 1.7404 (1.5949) Prec@1 55.625 (56.972) Prec@5 85.000 (85.179) Epoch: [85][2630/11272] Time 0.946 (0.796) Data 0.002 (0.003) Loss 1.5221 (1.5948) Prec@1 59.375 (56.976) Prec@5 86.250 (85.181) Epoch: [85][2640/11272] Time 0.859 (0.796) Data 0.002 (0.003) Loss 1.6636 (1.5950) Prec@1 59.375 (56.977) Prec@5 83.750 (85.177) Epoch: [85][2650/11272] Time 0.716 (0.796) Data 0.001 (0.003) Loss 1.7136 (1.5950) Prec@1 51.250 (56.976) Prec@5 85.000 (85.179) Epoch: [85][2660/11272] Time 0.735 (0.796) Data 0.002 (0.003) Loss 1.6441 (1.5950) Prec@1 57.500 (56.977) Prec@5 84.375 (85.181) Epoch: [85][2670/11272] Time 0.817 (0.796) Data 0.002 (0.003) Loss 1.7004 (1.5950) Prec@1 55.000 (56.979) Prec@5 82.500 (85.182) Epoch: [85][2680/11272] Time 0.878 (0.796) Data 0.002 (0.003) Loss 1.5792 (1.5948) Prec@1 55.625 (56.982) Prec@5 86.875 (85.185) Epoch: [85][2690/11272] Time 0.724 (0.796) Data 0.001 (0.003) Loss 1.5710 (1.5947) Prec@1 58.125 (56.984) Prec@5 85.000 (85.185) Epoch: [85][2700/11272] Time 0.888 (0.796) Data 0.001 (0.003) Loss 1.5527 (1.5948) Prec@1 62.500 (56.984) Prec@5 82.500 (85.184) Epoch: [85][2710/11272] Time 0.849 (0.796) Data 0.001 (0.003) Loss 1.6703 (1.5949) Prec@1 50.625 (56.981) Prec@5 85.000 (85.184) Epoch: [85][2720/11272] Time 0.732 (0.796) Data 0.001 (0.003) Loss 1.7345 (1.5952) Prec@1 53.125 (56.976) Prec@5 82.500 (85.181) Epoch: [85][2730/11272] Time 0.765 (0.796) Data 0.004 (0.003) Loss 1.5092 (1.5951) Prec@1 55.625 (56.977) Prec@5 86.875 (85.183) Epoch: [85][2740/11272] Time 0.879 (0.796) Data 0.002 (0.003) Loss 1.4806 (1.5953) Prec@1 54.375 (56.973) Prec@5 84.375 (85.182) Epoch: [85][2750/11272] Time 0.863 (0.796) Data 0.001 (0.003) Loss 1.5714 (1.5952) Prec@1 55.625 (56.980) Prec@5 85.000 (85.179) Epoch: [85][2760/11272] Time 0.737 (0.796) Data 0.001 (0.003) Loss 1.7344 (1.5953) Prec@1 51.875 (56.973) Prec@5 84.375 (85.182) Epoch: [85][2770/11272] Time 0.722 (0.796) Data 0.002 (0.003) Loss 1.4306 (1.5952) Prec@1 60.625 (56.974) Prec@5 86.875 (85.179) Epoch: [85][2780/11272] Time 0.879 (0.796) Data 0.001 (0.003) Loss 1.7495 (1.5952) Prec@1 54.375 (56.977) Prec@5 78.125 (85.178) Epoch: [85][2790/11272] Time 0.846 (0.796) Data 0.001 (0.003) Loss 1.9070 (1.5952) Prec@1 50.000 (56.980) Prec@5 80.000 (85.175) Epoch: [85][2800/11272] Time 0.718 (0.796) Data 0.001 (0.003) Loss 1.7150 (1.5951) Prec@1 53.125 (56.984) Prec@5 82.500 (85.175) Epoch: [85][2810/11272] Time 0.715 (0.796) Data 0.001 (0.003) Loss 1.5212 (1.5954) Prec@1 58.125 (56.977) Prec@5 90.000 (85.176) Epoch: [85][2820/11272] Time 0.875 (0.796) Data 0.001 (0.003) Loss 1.6498 (1.5955) Prec@1 51.875 (56.976) Prec@5 83.750 (85.172) Epoch: [85][2830/11272] Time 0.757 (0.796) Data 0.003 (0.003) Loss 1.7794 (1.5955) Prec@1 53.125 (56.975) Prec@5 83.750 (85.170) Epoch: [85][2840/11272] Time 0.750 (0.796) Data 0.002 (0.003) Loss 1.5655 (1.5957) Prec@1 59.375 (56.976) Prec@5 85.625 (85.167) Epoch: [85][2850/11272] Time 0.846 (0.796) Data 0.001 (0.003) Loss 1.5561 (1.5959) Prec@1 56.875 (56.969) Prec@5 86.250 (85.162) Epoch: [85][2860/11272] Time 0.889 (0.796) Data 0.001 (0.003) Loss 1.6107 (1.5957) Prec@1 60.000 (56.975) Prec@5 85.625 (85.170) Epoch: [85][2870/11272] Time 0.756 (0.796) Data 0.002 (0.003) Loss 1.7624 (1.5955) Prec@1 53.750 (56.980) Prec@5 85.000 (85.172) Epoch: [85][2880/11272] Time 0.711 (0.796) Data 0.001 (0.003) Loss 1.6570 (1.5957) Prec@1 56.250 (56.977) Prec@5 88.125 (85.174) Epoch: [85][2890/11272] Time 0.848 (0.796) Data 0.001 (0.003) Loss 1.8156 (1.5960) Prec@1 51.250 (56.970) Prec@5 83.125 (85.169) Epoch: [85][2900/11272] Time 0.860 (0.796) Data 0.002 (0.003) Loss 1.5321 (1.5959) Prec@1 59.375 (56.975) Prec@5 85.625 (85.170) Epoch: [85][2910/11272] Time 0.763 (0.796) Data 0.001 (0.003) Loss 1.6367 (1.5959) Prec@1 58.125 (56.977) Prec@5 83.750 (85.168) Epoch: [85][2920/11272] Time 0.720 (0.796) Data 0.002 (0.003) Loss 1.6810 (1.5961) Prec@1 58.125 (56.974) Prec@5 80.625 (85.163) Epoch: [85][2930/11272] Time 0.870 (0.796) Data 0.002 (0.003) Loss 1.7726 (1.5962) Prec@1 51.875 (56.969) Prec@5 83.750 (85.163) Epoch: [85][2940/11272] Time 0.865 (0.796) Data 0.002 (0.003) Loss 1.4082 (1.5961) Prec@1 61.250 (56.968) Prec@5 86.875 (85.166) Epoch: [85][2950/11272] Time 0.746 (0.796) Data 0.001 (0.003) Loss 1.7664 (1.5963) Prec@1 51.875 (56.964) Prec@5 81.875 (85.161) Epoch: [85][2960/11272] Time 0.852 (0.796) Data 0.001 (0.003) Loss 1.8496 (1.5966) Prec@1 55.000 (56.960) Prec@5 77.500 (85.155) Epoch: [85][2970/11272] Time 0.839 (0.796) Data 0.001 (0.003) Loss 1.7869 (1.5968) Prec@1 51.250 (56.957) Prec@5 81.250 (85.150) Epoch: [85][2980/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 1.6612 (1.5967) Prec@1 53.750 (56.956) Prec@5 83.750 (85.151) Epoch: [85][2990/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 1.5831 (1.5968) Prec@1 57.500 (56.957) Prec@5 85.000 (85.153) Epoch: [85][3000/11272] Time 0.870 (0.796) Data 0.002 (0.003) Loss 1.8131 (1.5970) Prec@1 46.875 (56.947) Prec@5 81.250 (85.152) Epoch: [85][3010/11272] Time 0.824 (0.796) Data 0.001 (0.003) Loss 1.6416 (1.5975) Prec@1 53.125 (56.936) Prec@5 86.250 (85.144) Epoch: [85][3020/11272] Time 0.756 (0.796) Data 0.002 (0.003) Loss 1.6406 (1.5973) Prec@1 61.875 (56.940) Prec@5 83.125 (85.150) Epoch: [85][3030/11272] Time 0.756 (0.796) Data 0.001 (0.003) Loss 1.6915 (1.5974) Prec@1 53.125 (56.937) Prec@5 80.625 (85.146) Epoch: [85][3040/11272] Time 0.835 (0.796) Data 0.001 (0.003) Loss 1.4657 (1.5974) Prec@1 60.625 (56.935) Prec@5 88.125 (85.150) Epoch: [85][3050/11272] Time 0.815 (0.796) Data 0.001 (0.003) Loss 1.4816 (1.5974) Prec@1 58.750 (56.936) Prec@5 86.875 (85.149) Epoch: [85][3060/11272] Time 0.717 (0.796) Data 0.001 (0.003) Loss 1.7530 (1.5974) Prec@1 53.750 (56.935) Prec@5 81.875 (85.146) Epoch: [85][3070/11272] Time 0.729 (0.796) Data 0.002 (0.003) Loss 1.4250 (1.5972) Prec@1 61.250 (56.938) Prec@5 86.250 (85.149) Epoch: [85][3080/11272] Time 0.825 (0.796) Data 0.001 (0.003) Loss 1.4379 (1.5972) Prec@1 59.375 (56.941) Prec@5 87.500 (85.149) Epoch: [85][3090/11272] Time 0.734 (0.796) Data 0.003 (0.003) Loss 1.6289 (1.5974) Prec@1 55.625 (56.933) Prec@5 86.875 (85.145) Epoch: [85][3100/11272] Time 0.788 (0.796) Data 0.002 (0.003) Loss 1.6059 (1.5976) Prec@1 53.750 (56.928) Prec@5 83.125 (85.141) Epoch: [85][3110/11272] Time 0.838 (0.796) Data 0.001 (0.003) Loss 1.6986 (1.5977) Prec@1 53.750 (56.926) Prec@5 84.375 (85.139) Epoch: [85][3120/11272] Time 0.802 (0.796) Data 0.001 (0.003) Loss 1.4211 (1.5979) Prec@1 61.875 (56.924) Prec@5 85.625 (85.135) Epoch: [85][3130/11272] Time 0.739 (0.796) Data 0.001 (0.003) Loss 1.8199 (1.5976) Prec@1 55.000 (56.921) Prec@5 81.250 (85.141) Epoch: [85][3140/11272] Time 0.717 (0.796) Data 0.001 (0.003) Loss 1.6790 (1.5977) Prec@1 55.625 (56.916) Prec@5 88.125 (85.144) Epoch: [85][3150/11272] Time 0.807 (0.796) Data 0.001 (0.003) Loss 1.5653 (1.5979) Prec@1 54.375 (56.913) Prec@5 83.750 (85.142) Epoch: [85][3160/11272] Time 0.878 (0.796) Data 0.002 (0.003) Loss 1.6421 (1.5981) Prec@1 50.625 (56.911) Prec@5 83.125 (85.139) Epoch: [85][3170/11272] Time 0.748 (0.796) Data 0.002 (0.003) Loss 1.7351 (1.5980) Prec@1 53.125 (56.916) Prec@5 80.000 (85.141) Epoch: [85][3180/11272] Time 0.712 (0.796) Data 0.001 (0.003) Loss 1.4298 (1.5978) Prec@1 60.625 (56.923) Prec@5 87.500 (85.143) Epoch: [85][3190/11272] Time 0.837 (0.796) Data 0.001 (0.003) Loss 1.5173 (1.5978) Prec@1 60.625 (56.926) Prec@5 87.500 (85.142) Epoch: [85][3200/11272] Time 0.888 (0.796) Data 0.002 (0.003) Loss 1.5211 (1.5978) Prec@1 58.125 (56.926) Prec@5 84.375 (85.139) Epoch: [85][3210/11272] Time 0.755 (0.796) Data 0.001 (0.003) Loss 1.4490 (1.5977) Prec@1 59.375 (56.927) Prec@5 87.500 (85.143) Epoch: [85][3220/11272] Time 0.887 (0.796) Data 0.001 (0.003) Loss 1.7202 (1.5977) Prec@1 55.625 (56.926) Prec@5 83.750 (85.142) Epoch: [85][3230/11272] Time 0.826 (0.796) Data 0.001 (0.003) Loss 1.5259 (1.5978) Prec@1 56.875 (56.921) Prec@5 86.250 (85.142) Epoch: [85][3240/11272] Time 0.728 (0.796) Data 0.002 (0.003) Loss 1.7336 (1.5976) Prec@1 52.500 (56.924) Prec@5 84.375 (85.149) Epoch: [85][3250/11272] Time 0.770 (0.796) Data 0.002 (0.003) Loss 1.3916 (1.5974) Prec@1 60.625 (56.932) Prec@5 87.500 (85.150) Epoch: [85][3260/11272] Time 0.883 (0.796) Data 0.002 (0.003) Loss 1.6634 (1.5975) Prec@1 53.125 (56.928) Prec@5 81.875 (85.147) Epoch: [85][3270/11272] Time 0.849 (0.796) Data 0.001 (0.003) Loss 1.5815 (1.5975) Prec@1 55.000 (56.928) Prec@5 88.125 (85.149) Epoch: [85][3280/11272] Time 0.736 (0.796) Data 0.002 (0.003) Loss 1.6184 (1.5975) Prec@1 58.125 (56.926) Prec@5 83.125 (85.149) Epoch: [85][3290/11272] Time 0.726 (0.796) Data 0.001 (0.003) Loss 1.4068 (1.5975) Prec@1 58.750 (56.928) Prec@5 88.750 (85.149) Epoch: [85][3300/11272] Time 0.848 (0.796) Data 0.002 (0.003) Loss 1.3719 (1.5972) Prec@1 63.125 (56.939) Prec@5 89.375 (85.151) Epoch: [85][3310/11272] Time 0.851 (0.796) Data 0.002 (0.003) Loss 1.6430 (1.5973) Prec@1 55.625 (56.940) Prec@5 83.125 (85.150) Epoch: [85][3320/11272] Time 0.727 (0.796) Data 0.002 (0.003) Loss 1.3456 (1.5973) Prec@1 63.125 (56.941) Prec@5 88.750 (85.149) Epoch: [85][3330/11272] Time 0.726 (0.796) Data 0.002 (0.003) Loss 1.5819 (1.5974) Prec@1 62.500 (56.937) Prec@5 84.375 (85.148) Epoch: [85][3340/11272] Time 0.892 (0.796) Data 0.002 (0.003) Loss 1.6004 (1.5976) Prec@1 56.250 (56.933) Prec@5 85.000 (85.143) Epoch: [85][3350/11272] Time 0.853 (0.796) Data 0.002 (0.003) Loss 1.5043 (1.5974) Prec@1 57.500 (56.934) Prec@5 88.125 (85.145) Epoch: [85][3360/11272] Time 0.719 (0.796) Data 0.001 (0.003) Loss 1.6407 (1.5977) Prec@1 56.875 (56.927) Prec@5 87.500 (85.142) Epoch: [85][3370/11272] Time 0.853 (0.796) Data 0.002 (0.003) Loss 1.5014 (1.5977) Prec@1 56.875 (56.928) Prec@5 88.125 (85.141) Epoch: [85][3380/11272] Time 0.835 (0.796) Data 0.002 (0.003) Loss 1.7568 (1.5975) Prec@1 52.500 (56.929) Prec@5 84.375 (85.144) Epoch: [85][3390/11272] Time 0.729 (0.796) Data 0.001 (0.003) Loss 1.6400 (1.5976) Prec@1 51.250 (56.928) Prec@5 85.000 (85.141) Epoch: [85][3400/11272] Time 0.722 (0.796) Data 0.001 (0.003) Loss 1.7257 (1.5977) Prec@1 51.250 (56.921) Prec@5 83.750 (85.140) Epoch: [85][3410/11272] Time 0.867 (0.796) Data 0.001 (0.003) Loss 1.5666 (1.5975) Prec@1 56.875 (56.926) Prec@5 85.000 (85.140) Epoch: [85][3420/11272] Time 0.854 (0.796) Data 0.002 (0.003) Loss 1.5403 (1.5977) Prec@1 58.125 (56.924) Prec@5 86.875 (85.139) Epoch: [85][3430/11272] Time 0.747 (0.796) Data 0.002 (0.003) Loss 1.6834 (1.5976) Prec@1 53.750 (56.920) Prec@5 83.750 (85.141) Epoch: [85][3440/11272] Time 0.713 (0.796) Data 0.001 (0.003) Loss 1.7354 (1.5978) Prec@1 52.500 (56.922) Prec@5 79.375 (85.135) Epoch: [85][3450/11272] Time 0.851 (0.796) Data 0.001 (0.003) Loss 1.7538 (1.5977) Prec@1 48.125 (56.918) Prec@5 85.625 (85.141) Epoch: [85][3460/11272] Time 0.827 (0.796) Data 0.002 (0.003) Loss 1.5730 (1.5975) Prec@1 60.625 (56.920) Prec@5 83.750 (85.143) Epoch: [85][3470/11272] Time 0.723 (0.796) Data 0.001 (0.003) Loss 1.5948 (1.5974) Prec@1 54.375 (56.925) Prec@5 86.875 (85.144) Epoch: [85][3480/11272] Time 0.718 (0.796) Data 0.002 (0.003) Loss 1.5963 (1.5975) Prec@1 53.750 (56.921) Prec@5 84.375 (85.143) Epoch: [85][3490/11272] Time 0.859 (0.796) Data 0.002 (0.003) Loss 1.6891 (1.5974) Prec@1 53.750 (56.918) Prec@5 81.250 (85.143) Epoch: [85][3500/11272] Time 0.720 (0.796) Data 0.001 (0.003) Loss 1.7859 (1.5976) Prec@1 52.500 (56.913) Prec@5 79.375 (85.138) Epoch: [85][3510/11272] Time 0.714 (0.796) Data 0.001 (0.003) Loss 1.5494 (1.5977) Prec@1 55.000 (56.907) Prec@5 87.500 (85.140) Epoch: [85][3520/11272] Time 0.855 (0.796) Data 0.001 (0.003) Loss 1.6677 (1.5978) Prec@1 56.875 (56.903) Prec@5 83.125 (85.137) Epoch: [85][3530/11272] Time 0.854 (0.796) Data 0.001 (0.003) Loss 1.8276 (1.5978) Prec@1 56.250 (56.903) Prec@5 79.375 (85.136) Epoch: [85][3540/11272] Time 0.717 (0.796) Data 0.002 (0.003) Loss 1.3921 (1.5980) Prec@1 60.625 (56.893) Prec@5 89.375 (85.136) Epoch: [85][3550/11272] Time 0.715 (0.796) Data 0.001 (0.003) Loss 1.6173 (1.5979) Prec@1 54.375 (56.895) Prec@5 83.750 (85.138) Epoch: [85][3560/11272] Time 0.847 (0.796) Data 0.002 (0.003) Loss 1.5217 (1.5979) Prec@1 60.625 (56.894) Prec@5 85.625 (85.139) Epoch: [85][3570/11272] Time 0.818 (0.796) Data 0.002 (0.003) Loss 1.6987 (1.5980) Prec@1 53.125 (56.890) Prec@5 85.625 (85.137) Epoch: [85][3580/11272] Time 0.731 (0.796) Data 0.001 (0.003) Loss 1.9431 (1.5982) Prec@1 50.000 (56.890) Prec@5 78.750 (85.133) Epoch: [85][3590/11272] Time 0.714 (0.796) Data 0.002 (0.003) Loss 1.3862 (1.5979) Prec@1 63.750 (56.896) Prec@5 86.250 (85.135) Epoch: [85][3600/11272] Time 0.831 (0.796) Data 0.001 (0.003) Loss 1.4348 (1.5980) Prec@1 58.750 (56.892) Prec@5 87.500 (85.134) Epoch: [85][3610/11272] Time 0.901 (0.796) Data 0.002 (0.003) Loss 1.7128 (1.5982) Prec@1 51.875 (56.888) Prec@5 85.000 (85.132) Epoch: [85][3620/11272] Time 0.720 (0.796) Data 0.002 (0.003) Loss 1.3898 (1.5980) Prec@1 65.000 (56.892) Prec@5 88.750 (85.133) Epoch: [85][3630/11272] Time 0.820 (0.796) Data 0.001 (0.003) Loss 1.5553 (1.5979) Prec@1 58.750 (56.890) Prec@5 83.750 (85.136) Epoch: [85][3640/11272] Time 0.834 (0.796) Data 0.002 (0.003) Loss 1.7389 (1.5981) Prec@1 58.750 (56.888) Prec@5 83.125 (85.132) Epoch: [85][3650/11272] Time 0.763 (0.796) Data 0.001 (0.003) Loss 1.6469 (1.5983) Prec@1 53.125 (56.880) Prec@5 83.750 (85.132) Epoch: [85][3660/11272] Time 0.722 (0.796) Data 0.002 (0.003) Loss 1.6707 (1.5982) Prec@1 57.500 (56.881) Prec@5 85.625 (85.132) Epoch: [85][3670/11272] Time 0.860 (0.796) Data 0.001 (0.003) Loss 1.6713 (1.5984) Prec@1 52.500 (56.878) Prec@5 86.875 (85.127) Epoch: [85][3680/11272] Time 0.836 (0.796) Data 0.001 (0.003) Loss 1.5629 (1.5984) Prec@1 57.500 (56.879) Prec@5 86.875 (85.127) Epoch: [85][3690/11272] Time 0.751 (0.796) Data 0.001 (0.003) Loss 1.4560 (1.5983) Prec@1 67.500 (56.886) Prec@5 87.500 (85.127) Epoch: [85][3700/11272] Time 0.750 (0.796) Data 0.002 (0.003) Loss 1.6006 (1.5983) Prec@1 52.500 (56.884) Prec@5 85.625 (85.128) Epoch: [85][3710/11272] Time 0.875 (0.796) Data 0.001 (0.003) Loss 1.4228 (1.5983) Prec@1 61.875 (56.885) Prec@5 87.500 (85.128) Epoch: [85][3720/11272] Time 0.851 (0.796) Data 0.001 (0.003) Loss 1.4559 (1.5981) Prec@1 61.250 (56.889) Prec@5 88.750 (85.131) Epoch: [85][3730/11272] Time 0.722 (0.796) Data 0.001 (0.003) Loss 1.4198 (1.5981) Prec@1 61.875 (56.887) Prec@5 85.625 (85.128) Epoch: [85][3740/11272] Time 0.721 (0.796) Data 0.001 (0.003) Loss 1.3294 (1.5980) Prec@1 60.625 (56.888) Prec@5 90.000 (85.133) Epoch: [85][3750/11272] Time 0.859 (0.796) Data 0.003 (0.003) Loss 1.7358 (1.5979) Prec@1 54.375 (56.888) Prec@5 80.625 (85.134) Epoch: [85][3760/11272] Time 0.700 (0.796) Data 0.003 (0.003) Loss 1.4694 (1.5979) Prec@1 60.000 (56.891) Prec@5 86.250 (85.135) Epoch: [85][3770/11272] Time 0.733 (0.796) Data 0.002 (0.003) Loss 1.7531 (1.5980) Prec@1 54.375 (56.892) Prec@5 85.625 (85.134) Epoch: [85][3780/11272] Time 0.880 (0.796) Data 0.002 (0.003) Loss 1.7094 (1.5983) Prec@1 50.625 (56.881) Prec@5 83.750 (85.132) Epoch: [85][3790/11272] Time 0.851 (0.796) Data 0.002 (0.003) Loss 1.5431 (1.5984) Prec@1 62.500 (56.880) Prec@5 86.875 (85.130) Epoch: [85][3800/11272] Time 0.714 (0.796) Data 0.002 (0.003) Loss 1.4451 (1.5982) Prec@1 62.500 (56.881) Prec@5 86.250 (85.135) Epoch: [85][3810/11272] Time 0.779 (0.796) Data 0.002 (0.003) Loss 1.4355 (1.5981) Prec@1 60.000 (56.880) Prec@5 89.375 (85.139) Epoch: [85][3820/11272] Time 0.884 (0.796) Data 0.002 (0.003) Loss 1.7235 (1.5981) Prec@1 53.750 (56.882) Prec@5 85.000 (85.135) Epoch: [85][3830/11272] Time 0.817 (0.796) Data 0.001 (0.003) Loss 1.6170 (1.5983) Prec@1 60.625 (56.880) Prec@5 85.000 (85.133) Epoch: [85][3840/11272] Time 0.721 (0.796) Data 0.002 (0.003) Loss 1.6837 (1.5983) Prec@1 55.000 (56.881) Prec@5 81.875 (85.134) Epoch: [85][3850/11272] Time 0.709 (0.796) Data 0.001 (0.003) Loss 1.5317 (1.5984) Prec@1 55.625 (56.878) Prec@5 88.125 (85.132) Epoch: [85][3860/11272] Time 0.901 (0.796) Data 0.001 (0.003) Loss 1.5292 (1.5985) Prec@1 60.000 (56.876) Prec@5 85.625 (85.126) Epoch: [85][3870/11272] Time 0.811 (0.796) Data 0.002 (0.003) Loss 1.9506 (1.5985) Prec@1 48.750 (56.875) Prec@5 77.500 (85.127) Epoch: [85][3880/11272] Time 0.716 (0.796) Data 0.001 (0.003) Loss 1.4100 (1.5986) Prec@1 57.500 (56.873) Prec@5 88.125 (85.127) Epoch: [85][3890/11272] Time 0.870 (0.796) Data 0.001 (0.003) Loss 1.5281 (1.5986) Prec@1 60.625 (56.873) Prec@5 87.500 (85.127) Epoch: [85][3900/11272] Time 0.816 (0.796) Data 0.001 (0.003) Loss 1.8040 (1.5988) Prec@1 49.375 (56.871) Prec@5 82.500 (85.126) Epoch: [85][3910/11272] Time 0.752 (0.796) Data 0.002 (0.003) Loss 1.4135 (1.5987) Prec@1 60.625 (56.874) Prec@5 90.625 (85.126) Epoch: [85][3920/11272] Time 0.711 (0.796) Data 0.002 (0.003) Loss 1.4478 (1.5985) Prec@1 61.250 (56.881) Prec@5 88.750 (85.129) Epoch: [85][3930/11272] Time 0.867 (0.796) Data 0.001 (0.003) Loss 1.7713 (1.5987) Prec@1 50.625 (56.876) Prec@5 82.500 (85.128) Epoch: [85][3940/11272] Time 0.828 (0.796) Data 0.001 (0.003) Loss 1.6932 (1.5990) Prec@1 58.125 (56.873) Prec@5 85.000 (85.122) Epoch: [85][3950/11272] Time 0.710 (0.796) Data 0.001 (0.003) Loss 1.4971 (1.5988) Prec@1 61.250 (56.880) Prec@5 85.625 (85.123) Epoch: [85][3960/11272] Time 0.754 (0.796) Data 0.002 (0.003) Loss 1.3757 (1.5988) Prec@1 57.500 (56.878) Prec@5 89.375 (85.122) Epoch: [85][3970/11272] Time 0.828 (0.796) Data 0.001 (0.003) Loss 1.6276 (1.5986) Prec@1 54.375 (56.884) Prec@5 86.250 (85.125) Epoch: [85][3980/11272] Time 0.820 (0.796) Data 0.001 (0.003) Loss 1.6419 (1.5987) Prec@1 55.000 (56.881) Prec@5 84.375 (85.123) Epoch: [85][3990/11272] Time 0.712 (0.796) Data 0.001 (0.003) Loss 1.7156 (1.5987) Prec@1 55.625 (56.879) Prec@5 83.125 (85.122) Epoch: [85][4000/11272] Time 0.766 (0.796) Data 0.002 (0.003) Loss 1.7963 (1.5987) Prec@1 51.250 (56.881) Prec@5 82.500 (85.121) Epoch: [85][4010/11272] Time 0.880 (0.796) Data 0.002 (0.003) Loss 1.5359 (1.5988) Prec@1 57.500 (56.880) Prec@5 85.625 (85.123) Epoch: [85][4020/11272] Time 0.724 (0.796) Data 0.004 (0.003) Loss 1.5396 (1.5986) Prec@1 58.125 (56.879) Prec@5 82.500 (85.123) Epoch: [85][4030/11272] Time 0.728 (0.796) Data 0.002 (0.003) Loss 1.6463 (1.5987) Prec@1 55.625 (56.878) Prec@5 84.375 (85.122) Epoch: [85][4040/11272] Time 0.892 (0.796) Data 0.001 (0.003) Loss 1.9206 (1.5987) Prec@1 55.000 (56.879) Prec@5 79.375 (85.120) Epoch: [85][4050/11272] Time 0.853 (0.796) Data 0.002 (0.003) Loss 1.5154 (1.5987) Prec@1 55.625 (56.874) Prec@5 85.000 (85.123) Epoch: [85][4060/11272] Time 0.728 (0.796) Data 0.002 (0.003) Loss 1.7712 (1.5987) Prec@1 58.750 (56.873) Prec@5 78.125 (85.123) Epoch: [85][4070/11272] Time 0.722 (0.796) Data 0.001 (0.003) Loss 1.6161 (1.5989) Prec@1 51.875 (56.866) Prec@5 86.875 (85.123) Epoch: [85][4080/11272] Time 0.868 (0.796) Data 0.002 (0.003) Loss 1.4357 (1.5990) Prec@1 60.625 (56.862) Prec@5 88.125 (85.122) Epoch: [85][4090/11272] Time 0.841 (0.796) Data 0.002 (0.003) Loss 1.4245 (1.5991) Prec@1 60.625 (56.862) Prec@5 88.750 (85.118) Epoch: [85][4100/11272] Time 0.748 (0.796) Data 0.002 (0.003) Loss 1.6957 (1.5993) Prec@1 55.625 (56.859) Prec@5 83.125 (85.114) Epoch: [85][4110/11272] Time 0.709 (0.796) Data 0.001 (0.003) Loss 1.6192 (1.5993) Prec@1 53.750 (56.859) Prec@5 85.625 (85.114) Epoch: [85][4120/11272] Time 0.836 (0.796) Data 0.002 (0.003) Loss 1.5111 (1.5995) Prec@1 59.375 (56.853) Prec@5 85.625 (85.110) Epoch: [85][4130/11272] Time 0.791 (0.796) Data 0.001 (0.003) Loss 1.6209 (1.5995) Prec@1 53.750 (56.855) Prec@5 86.250 (85.108) Epoch: [85][4140/11272] Time 0.729 (0.796) Data 0.002 (0.003) Loss 1.5273 (1.5995) Prec@1 55.625 (56.854) Prec@5 90.000 (85.109) Epoch: [85][4150/11272] Time 0.899 (0.796) Data 0.002 (0.003) Loss 1.7912 (1.5995) Prec@1 54.375 (56.853) Prec@5 85.000 (85.111) Epoch: [85][4160/11272] Time 0.843 (0.796) Data 0.001 (0.003) Loss 1.7185 (1.5995) Prec@1 55.000 (56.856) Prec@5 84.375 (85.113) Epoch: [85][4170/11272] Time 0.734 (0.796) Data 0.001 (0.003) Loss 1.6519 (1.5995) Prec@1 58.125 (56.856) Prec@5 83.125 (85.112) Epoch: [85][4180/11272] Time 0.737 (0.796) Data 0.002 (0.003) Loss 1.5819 (1.5993) Prec@1 63.125 (56.861) Prec@5 85.000 (85.114) Epoch: [85][4190/11272] Time 0.872 (0.796) Data 0.001 (0.003) Loss 1.7167 (1.5993) Prec@1 52.500 (56.862) Prec@5 85.625 (85.115) Epoch: [85][4200/11272] Time 0.872 (0.796) Data 0.001 (0.003) Loss 1.5492 (1.5993) Prec@1 59.375 (56.862) Prec@5 86.250 (85.113) Epoch: [85][4210/11272] Time 0.749 (0.796) Data 0.001 (0.003) Loss 1.6689 (1.5993) Prec@1 49.375 (56.860) Prec@5 85.625 (85.113) Epoch: [85][4220/11272] Time 0.798 (0.796) Data 0.002 (0.003) Loss 1.5946 (1.5995) Prec@1 55.625 (56.854) Prec@5 85.625 (85.111) Epoch: [85][4230/11272] Time 0.845 (0.796) Data 0.002 (0.003) Loss 1.5662 (1.5995) Prec@1 58.750 (56.856) Prec@5 83.750 (85.113) Epoch: [85][4240/11272] Time 0.880 (0.796) Data 0.001 (0.003) Loss 1.6310 (1.5997) Prec@1 54.375 (56.852) Prec@5 83.750 (85.109) Epoch: [85][4250/11272] Time 0.731 (0.796) Data 0.001 (0.003) Loss 1.7249 (1.5999) Prec@1 52.500 (56.846) Prec@5 85.000 (85.103) Epoch: [85][4260/11272] Time 0.744 (0.796) Data 0.002 (0.003) Loss 1.6663 (1.6000) Prec@1 47.500 (56.846) Prec@5 84.375 (85.099) Epoch: [85][4270/11272] Time 0.895 (0.796) Data 0.002 (0.003) Loss 1.6345 (1.6001) Prec@1 55.625 (56.841) Prec@5 83.750 (85.097) Epoch: [85][4280/11272] Time 0.818 (0.796) Data 0.002 (0.003) Loss 1.7016 (1.6001) Prec@1 55.000 (56.840) Prec@5 83.125 (85.098) Epoch: [85][4290/11272] Time 0.731 (0.796) Data 0.002 (0.003) Loss 1.6002 (1.6000) Prec@1 58.750 (56.840) Prec@5 85.625 (85.100) Epoch: [85][4300/11272] Time 0.852 (0.796) Data 0.001 (0.003) Loss 1.6304 (1.6002) Prec@1 51.875 (56.838) Prec@5 88.125 (85.098) Epoch: [85][4310/11272] Time 0.819 (0.796) Data 0.001 (0.003) Loss 1.5598 (1.6000) Prec@1 57.500 (56.843) Prec@5 85.625 (85.100) Epoch: [85][4320/11272] Time 0.748 (0.796) Data 0.002 (0.003) Loss 1.5285 (1.6000) Prec@1 58.125 (56.839) Prec@5 85.000 (85.100) Epoch: [85][4330/11272] Time 0.740 (0.796) Data 0.001 (0.003) Loss 1.6663 (1.6001) Prec@1 54.375 (56.834) Prec@5 85.000 (85.099) Epoch: [85][4340/11272] Time 0.887 (0.796) Data 0.002 (0.003) Loss 1.7038 (1.6000) Prec@1 55.000 (56.835) Prec@5 83.750 (85.101) Epoch: [85][4350/11272] Time 0.898 (0.796) Data 0.002 (0.003) Loss 1.6826 (1.6000) Prec@1 55.000 (56.833) Prec@5 85.625 (85.101) Epoch: [85][4360/11272] Time 0.736 (0.796) Data 0.002 (0.003) Loss 1.6380 (1.6000) Prec@1 57.500 (56.832) Prec@5 85.000 (85.101) Epoch: [85][4370/11272] Time 0.729 (0.796) Data 0.001 (0.003) Loss 1.6008 (1.6000) Prec@1 53.125 (56.831) Prec@5 84.375 (85.103) Epoch: [85][4380/11272] Time 0.900 (0.796) Data 0.001 (0.003) Loss 1.6447 (1.5999) Prec@1 55.000 (56.828) Prec@5 83.750 (85.103) Epoch: [85][4390/11272] Time 0.832 (0.796) Data 0.001 (0.003) Loss 1.6047 (1.6000) Prec@1 55.000 (56.829) Prec@5 85.625 (85.102) Epoch: [85][4400/11272] Time 0.726 (0.796) Data 0.001 (0.003) Loss 1.5968 (1.5999) Prec@1 55.625 (56.831) Prec@5 88.750 (85.108) Epoch: [85][4410/11272] Time 0.742 (0.796) Data 0.001 (0.002) Loss 1.6467 (1.5997) Prec@1 57.500 (56.833) Prec@5 81.250 (85.108) Epoch: [85][4420/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 1.5041 (1.5996) Prec@1 60.000 (56.832) Prec@5 86.250 (85.110) Epoch: [85][4430/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.7055 (1.5997) Prec@1 55.000 (56.833) Prec@5 83.125 (85.112) Epoch: [85][4440/11272] Time 0.729 (0.796) Data 0.001 (0.002) Loss 1.6066 (1.5997) Prec@1 57.500 (56.834) Prec@5 84.375 (85.110) Epoch: [85][4450/11272] Time 0.894 (0.796) Data 0.001 (0.002) Loss 1.7895 (1.5997) Prec@1 51.875 (56.834) Prec@5 82.500 (85.109) Epoch: [85][4460/11272] Time 0.849 (0.796) Data 0.002 (0.002) Loss 1.8470 (1.5998) Prec@1 53.125 (56.835) Prec@5 77.500 (85.106) Epoch: [85][4470/11272] Time 0.742 (0.796) Data 0.001 (0.002) Loss 1.4806 (1.5997) Prec@1 61.250 (56.836) Prec@5 89.375 (85.108) Epoch: [85][4480/11272] Time 0.723 (0.796) Data 0.001 (0.002) Loss 1.5994 (1.5998) Prec@1 57.500 (56.832) Prec@5 85.000 (85.105) Epoch: [85][4490/11272] Time 0.839 (0.796) Data 0.001 (0.002) Loss 1.4762 (1.5998) Prec@1 58.750 (56.833) Prec@5 87.500 (85.107) Epoch: [85][4500/11272] Time 0.823 (0.796) Data 0.001 (0.002) Loss 1.5662 (1.5998) Prec@1 56.250 (56.833) Prec@5 83.750 (85.105) Epoch: [85][4510/11272] Time 0.740 (0.796) Data 0.002 (0.002) Loss 1.6948 (1.5999) Prec@1 51.875 (56.830) Prec@5 86.250 (85.101) Epoch: [85][4520/11272] Time 0.717 (0.796) Data 0.002 (0.002) Loss 1.7732 (1.6001) Prec@1 55.000 (56.827) Prec@5 85.625 (85.098) Epoch: [85][4530/11272] Time 0.809 (0.796) Data 0.001 (0.002) Loss 1.6662 (1.6003) Prec@1 55.000 (56.826) Prec@5 83.750 (85.096) Epoch: [85][4540/11272] Time 0.903 (0.796) Data 0.001 (0.002) Loss 1.4320 (1.6001) Prec@1 65.625 (56.830) Prec@5 87.500 (85.099) Epoch: [85][4550/11272] Time 0.753 (0.796) Data 0.002 (0.002) Loss 1.5661 (1.6002) Prec@1 55.625 (56.830) Prec@5 85.625 (85.099) Epoch: [85][4560/11272] Time 0.840 (0.796) Data 0.002 (0.002) Loss 1.8090 (1.6002) Prec@1 51.875 (56.827) Prec@5 83.750 (85.098) Epoch: [85][4570/11272] Time 0.864 (0.796) Data 0.001 (0.002) Loss 1.7762 (1.6002) Prec@1 53.750 (56.824) Prec@5 81.250 (85.096) Epoch: [85][4580/11272] Time 0.708 (0.796) Data 0.002 (0.002) Loss 1.2921 (1.6003) Prec@1 64.375 (56.821) Prec@5 91.250 (85.097) Epoch: [85][4590/11272] Time 0.722 (0.796) Data 0.001 (0.002) Loss 1.6530 (1.6001) Prec@1 50.000 (56.823) Prec@5 87.500 (85.101) Epoch: [85][4600/11272] Time 0.843 (0.796) Data 0.001 (0.002) Loss 1.4074 (1.6001) Prec@1 62.500 (56.823) Prec@5 88.750 (85.102) Epoch: [85][4610/11272] Time 0.853 (0.796) Data 0.002 (0.002) Loss 1.8396 (1.6003) Prec@1 48.125 (56.816) Prec@5 83.125 (85.099) Epoch: [85][4620/11272] Time 0.711 (0.796) Data 0.001 (0.002) Loss 1.4676 (1.6000) Prec@1 61.250 (56.822) Prec@5 87.500 (85.102) Epoch: [85][4630/11272] Time 0.768 (0.796) Data 0.002 (0.002) Loss 1.7538 (1.6000) Prec@1 49.375 (56.819) Prec@5 84.375 (85.103) Epoch: [85][4640/11272] Time 0.845 (0.796) Data 0.002 (0.002) Loss 1.6047 (1.6000) Prec@1 58.125 (56.817) Prec@5 84.375 (85.104) Epoch: [85][4650/11272] Time 0.888 (0.796) Data 0.002 (0.002) Loss 1.7328 (1.5999) Prec@1 52.500 (56.820) Prec@5 81.875 (85.105) Epoch: [85][4660/11272] Time 0.732 (0.796) Data 0.002 (0.002) Loss 1.4813 (1.6000) Prec@1 60.000 (56.818) Prec@5 86.875 (85.102) Epoch: [85][4670/11272] Time 0.719 (0.796) Data 0.001 (0.002) Loss 1.5600 (1.6001) Prec@1 60.000 (56.817) Prec@5 86.250 (85.102) Epoch: [85][4680/11272] Time 0.884 (0.796) Data 0.002 (0.002) Loss 1.6516 (1.6001) Prec@1 56.250 (56.820) Prec@5 83.125 (85.102) Epoch: [85][4690/11272] Time 0.744 (0.796) Data 0.003 (0.002) Loss 1.5594 (1.6001) Prec@1 55.000 (56.820) Prec@5 86.250 (85.101) Epoch: [85][4700/11272] Time 0.715 (0.796) Data 0.001 (0.002) Loss 1.8179 (1.6001) Prec@1 50.000 (56.818) Prec@5 83.125 (85.101) Epoch: [85][4710/11272] Time 0.851 (0.796) Data 0.001 (0.002) Loss 1.4435 (1.6003) Prec@1 51.250 (56.814) Prec@5 90.625 (85.098) Epoch: [85][4720/11272] Time 0.872 (0.796) Data 0.001 (0.002) Loss 1.7292 (1.6003) Prec@1 53.750 (56.811) Prec@5 86.875 (85.099) Epoch: [85][4730/11272] Time 0.726 (0.796) Data 0.001 (0.002) Loss 1.6467 (1.6003) Prec@1 52.500 (56.810) Prec@5 85.000 (85.097) Epoch: [85][4740/11272] Time 0.721 (0.796) Data 0.002 (0.002) Loss 1.5214 (1.6003) Prec@1 55.625 (56.811) Prec@5 88.750 (85.098) Epoch: [85][4750/11272] Time 0.842 (0.796) Data 0.002 (0.002) Loss 1.5281 (1.6002) Prec@1 54.375 (56.811) Prec@5 85.000 (85.098) Epoch: [85][4760/11272] Time 0.799 (0.796) Data 0.001 (0.002) Loss 1.6868 (1.6002) Prec@1 58.125 (56.816) Prec@5 84.375 (85.100) Epoch: [85][4770/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 1.4752 (1.6002) Prec@1 62.500 (56.816) Prec@5 87.500 (85.101) Epoch: [85][4780/11272] Time 0.754 (0.795) Data 0.002 (0.002) Loss 1.4764 (1.6002) Prec@1 59.375 (56.815) Prec@5 86.875 (85.102) Epoch: [85][4790/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.7911 (1.6001) Prec@1 51.250 (56.817) Prec@5 81.875 (85.103) Epoch: [85][4800/11272] Time 0.832 (0.795) Data 0.001 (0.002) Loss 1.7178 (1.6003) Prec@1 55.625 (56.812) Prec@5 83.750 (85.100) Epoch: [85][4810/11272] Time 0.748 (0.795) Data 0.001 (0.002) Loss 1.5469 (1.6003) Prec@1 52.500 (56.811) Prec@5 86.875 (85.100) Epoch: [85][4820/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 1.4917 (1.6003) Prec@1 64.375 (56.812) Prec@5 86.250 (85.101) Epoch: [85][4830/11272] Time 0.853 (0.795) Data 0.002 (0.002) Loss 1.5815 (1.6003) Prec@1 55.625 (56.811) Prec@5 86.875 (85.099) Epoch: [85][4840/11272] Time 0.742 (0.795) Data 0.001 (0.002) Loss 1.6934 (1.6003) Prec@1 51.875 (56.810) Prec@5 81.250 (85.101) Epoch: [85][4850/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 1.8191 (1.6003) Prec@1 53.125 (56.811) Prec@5 84.375 (85.099) Epoch: [85][4860/11272] Time 0.867 (0.795) Data 0.001 (0.002) Loss 1.5455 (1.6004) Prec@1 60.625 (56.811) Prec@5 83.125 (85.098) Epoch: [85][4870/11272] Time 0.856 (0.795) Data 0.001 (0.002) Loss 1.3838 (1.6003) Prec@1 61.875 (56.811) Prec@5 90.625 (85.099) Epoch: [85][4880/11272] Time 0.728 (0.795) Data 0.002 (0.002) Loss 1.5565 (1.6004) Prec@1 57.500 (56.810) Prec@5 86.250 (85.099) Epoch: [85][4890/11272] Time 0.765 (0.795) Data 0.002 (0.002) Loss 1.5078 (1.6004) Prec@1 58.125 (56.808) Prec@5 87.500 (85.099) Epoch: [85][4900/11272] Time 0.827 (0.795) Data 0.001 (0.002) Loss 1.4436 (1.6004) Prec@1 59.375 (56.809) Prec@5 85.625 (85.099) Epoch: [85][4910/11272] Time 0.865 (0.795) Data 0.001 (0.002) Loss 1.7374 (1.6002) Prec@1 53.125 (56.814) Prec@5 82.500 (85.102) Epoch: [85][4920/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 1.7629 (1.6002) Prec@1 48.125 (56.813) Prec@5 82.500 (85.102) Epoch: [85][4930/11272] Time 0.748 (0.795) Data 0.002 (0.002) Loss 1.7389 (1.6003) Prec@1 55.000 (56.811) Prec@5 85.625 (85.101) Epoch: [85][4940/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 1.8735 (1.6003) Prec@1 53.125 (56.810) Prec@5 81.875 (85.103) Epoch: [85][4950/11272] Time 0.749 (0.795) Data 0.004 (0.002) Loss 1.6548 (1.6004) Prec@1 51.875 (56.808) Prec@5 85.625 (85.102) Epoch: [85][4960/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 1.4620 (1.6004) Prec@1 59.375 (56.803) Prec@5 86.875 (85.103) Epoch: [85][4970/11272] Time 0.826 (0.795) Data 0.002 (0.002) Loss 1.5615 (1.6005) Prec@1 55.000 (56.801) Prec@5 82.500 (85.103) Epoch: [85][4980/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 1.4271 (1.6004) Prec@1 59.375 (56.802) Prec@5 88.750 (85.105) Epoch: [85][4990/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.6664 (1.6005) Prec@1 56.875 (56.803) Prec@5 84.375 (85.103) Epoch: [85][5000/11272] Time 0.708 (0.795) Data 0.002 (0.002) Loss 1.7642 (1.6006) Prec@1 50.625 (56.800) Prec@5 84.375 (85.100) Epoch: [85][5010/11272] Time 0.868 (0.795) Data 0.002 (0.002) Loss 1.2999 (1.6005) Prec@1 61.875 (56.799) Prec@5 93.125 (85.104) Epoch: [85][5020/11272] Time 0.848 (0.795) Data 0.002 (0.002) Loss 1.7454 (1.6005) Prec@1 55.625 (56.801) Prec@5 80.000 (85.102) Epoch: [85][5030/11272] Time 0.719 (0.795) Data 0.001 (0.002) Loss 1.5435 (1.6005) Prec@1 58.125 (56.802) Prec@5 85.625 (85.103) Epoch: [85][5040/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.9465 (1.6007) Prec@1 50.000 (56.800) Prec@5 78.125 (85.100) Epoch: [85][5050/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.5573 (1.6006) Prec@1 56.875 (56.803) Prec@5 87.500 (85.103) Epoch: [85][5060/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 1.5004 (1.6006) Prec@1 60.000 (56.803) Prec@5 86.250 (85.103) Epoch: [85][5070/11272] Time 0.718 (0.795) Data 0.002 (0.002) Loss 1.6759 (1.6006) Prec@1 56.875 (56.804) Prec@5 85.000 (85.104) Epoch: [85][5080/11272] Time 0.817 (0.795) Data 0.001 (0.002) Loss 1.6506 (1.6005) Prec@1 53.750 (56.807) Prec@5 86.875 (85.104) Epoch: [85][5090/11272] Time 0.911 (0.795) Data 0.002 (0.002) Loss 1.5755 (1.6004) Prec@1 58.125 (56.811) Prec@5 84.375 (85.105) Epoch: [85][5100/11272] Time 0.714 (0.795) Data 0.001 (0.002) Loss 1.7981 (1.6006) Prec@1 49.375 (56.811) Prec@5 79.375 (85.100) Epoch: [85][5110/11272] Time 0.716 (0.795) Data 0.002 (0.002) Loss 1.8170 (1.6007) Prec@1 55.625 (56.810) Prec@5 80.625 (85.098) Epoch: [85][5120/11272] Time 0.842 (0.795) Data 0.001 (0.002) Loss 1.5085 (1.6006) Prec@1 56.875 (56.811) Prec@5 84.375 (85.099) Epoch: [85][5130/11272] Time 0.872 (0.795) Data 0.006 (0.002) Loss 1.6747 (1.6007) Prec@1 53.125 (56.806) Prec@5 84.375 (85.099) Epoch: [85][5140/11272] Time 0.763 (0.795) Data 0.002 (0.002) Loss 1.6391 (1.6008) Prec@1 58.750 (56.806) Prec@5 83.750 (85.096) Epoch: [85][5150/11272] Time 0.714 (0.795) Data 0.002 (0.002) Loss 1.6254 (1.6007) Prec@1 53.125 (56.808) Prec@5 83.750 (85.097) Epoch: [85][5160/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 1.5899 (1.6007) Prec@1 56.250 (56.809) Prec@5 85.625 (85.093) Epoch: [85][5170/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.6264 (1.6007) Prec@1 58.750 (56.809) Prec@5 81.250 (85.094) Epoch: [85][5180/11272] Time 0.742 (0.795) Data 0.002 (0.002) Loss 1.5703 (1.6007) Prec@1 57.500 (56.809) Prec@5 85.000 (85.093) Epoch: [85][5190/11272] Time 0.750 (0.795) Data 0.001 (0.002) Loss 1.5404 (1.6007) Prec@1 55.625 (56.808) Prec@5 85.625 (85.093) Epoch: [85][5200/11272] Time 0.887 (0.795) Data 0.002 (0.002) Loss 1.5918 (1.6006) Prec@1 61.875 (56.811) Prec@5 83.125 (85.095) Epoch: [85][5210/11272] Time 0.871 (0.795) Data 0.001 (0.002) Loss 1.3224 (1.6007) Prec@1 66.250 (56.809) Prec@5 89.375 (85.095) Epoch: [85][5220/11272] Time 0.719 (0.795) Data 0.002 (0.002) Loss 1.8176 (1.6007) Prec@1 55.000 (56.811) Prec@5 81.875 (85.095) Epoch: [85][5230/11272] Time 1.007 (0.795) Data 0.003 (0.002) Loss 1.5498 (1.6009) Prec@1 61.250 (56.808) Prec@5 85.625 (85.095) Epoch: [85][5240/11272] Time 0.831 (0.795) Data 0.001 (0.002) Loss 1.7380 (1.6009) Prec@1 52.500 (56.805) Prec@5 81.875 (85.096) Epoch: [85][5250/11272] Time 0.754 (0.795) Data 0.001 (0.002) Loss 1.6206 (1.6010) Prec@1 56.875 (56.805) Prec@5 81.875 (85.092) Epoch: [85][5260/11272] Time 0.729 (0.795) Data 0.002 (0.002) Loss 1.5394 (1.6011) Prec@1 55.000 (56.805) Prec@5 85.000 (85.091) Epoch: [85][5270/11272] Time 0.879 (0.795) Data 0.001 (0.002) Loss 1.6376 (1.6011) Prec@1 58.125 (56.806) Prec@5 83.125 (85.091) Epoch: [85][5280/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 1.5605 (1.6012) Prec@1 56.250 (56.801) Prec@5 86.250 (85.091) Epoch: [85][5290/11272] Time 0.717 (0.795) Data 0.001 (0.002) Loss 1.6354 (1.6012) Prec@1 55.000 (56.801) Prec@5 85.000 (85.091) Epoch: [85][5300/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.6991 (1.6013) Prec@1 56.250 (56.797) Prec@5 81.875 (85.089) Epoch: [85][5310/11272] Time 0.890 (0.795) Data 0.002 (0.002) Loss 1.6025 (1.6014) Prec@1 56.875 (56.797) Prec@5 84.375 (85.086) Epoch: [85][5320/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 1.5187 (1.6013) Prec@1 62.500 (56.800) Prec@5 85.000 (85.086) Epoch: [85][5330/11272] Time 0.709 (0.795) Data 0.002 (0.002) Loss 1.8774 (1.6013) Prec@1 51.250 (56.801) Prec@5 79.375 (85.086) Epoch: [85][5340/11272] Time 0.749 (0.795) Data 0.002 (0.002) Loss 1.7288 (1.6013) Prec@1 60.000 (56.801) Prec@5 82.500 (85.087) Epoch: [85][5350/11272] Time 0.879 (0.795) Data 0.002 (0.002) Loss 1.4629 (1.6013) Prec@1 59.375 (56.799) Prec@5 85.625 (85.088) Epoch: [85][5360/11272] Time 0.724 (0.795) Data 0.001 (0.002) Loss 1.6363 (1.6014) Prec@1 57.500 (56.795) Prec@5 84.375 (85.084) Epoch: [85][5370/11272] Time 0.742 (0.795) Data 0.001 (0.002) Loss 1.7291 (1.6016) Prec@1 55.000 (56.794) Prec@5 81.250 (85.082) Epoch: [85][5380/11272] Time 0.873 (0.795) Data 0.002 (0.002) Loss 1.6978 (1.6016) Prec@1 56.250 (56.791) Prec@5 82.500 (85.080) Epoch: [85][5390/11272] Time 0.843 (0.795) Data 0.002 (0.002) Loss 1.4588 (1.6016) Prec@1 56.250 (56.793) Prec@5 86.875 (85.080) Epoch: [85][5400/11272] Time 0.711 (0.795) Data 0.002 (0.002) Loss 1.6199 (1.6017) Prec@1 56.250 (56.791) Prec@5 85.625 (85.081) Epoch: [85][5410/11272] Time 0.709 (0.795) Data 0.001 (0.002) Loss 1.4144 (1.6017) Prec@1 63.125 (56.793) Prec@5 86.250 (85.079) Epoch: [85][5420/11272] Time 0.874 (0.795) Data 0.001 (0.002) Loss 1.5543 (1.6017) Prec@1 59.375 (56.794) Prec@5 83.125 (85.080) Epoch: [85][5430/11272] Time 0.850 (0.795) Data 0.002 (0.002) Loss 1.7138 (1.6018) Prec@1 57.500 (56.793) Prec@5 80.000 (85.076) Epoch: [85][5440/11272] Time 0.758 (0.795) Data 0.002 (0.002) Loss 1.6083 (1.6019) Prec@1 58.125 (56.792) Prec@5 86.250 (85.076) Epoch: [85][5450/11272] Time 0.715 (0.795) Data 0.001 (0.002) Loss 1.7117 (1.6019) Prec@1 50.000 (56.790) Prec@5 83.750 (85.075) Epoch: [85][5460/11272] Time 0.900 (0.795) Data 0.002 (0.002) Loss 1.4717 (1.6018) Prec@1 61.875 (56.791) Prec@5 83.125 (85.077) Epoch: [85][5470/11272] Time 0.854 (0.795) Data 0.002 (0.002) Loss 1.6877 (1.6019) Prec@1 55.000 (56.791) Prec@5 86.250 (85.075) Epoch: [85][5480/11272] Time 0.736 (0.795) Data 0.002 (0.002) Loss 1.7101 (1.6019) Prec@1 52.500 (56.790) Prec@5 80.625 (85.075) Epoch: [85][5490/11272] Time 0.870 (0.795) Data 0.002 (0.002) Loss 1.6526 (1.6020) Prec@1 56.250 (56.788) Prec@5 83.750 (85.072) Epoch: [85][5500/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.5327 (1.6020) Prec@1 57.500 (56.790) Prec@5 85.625 (85.069) Epoch: [85][5510/11272] Time 0.715 (0.795) Data 0.001 (0.002) Loss 1.6007 (1.6021) Prec@1 51.875 (56.788) Prec@5 85.625 (85.068) Epoch: [85][5520/11272] Time 0.679 (0.795) Data 0.001 (0.002) Loss 1.8256 (1.6020) Prec@1 56.875 (56.792) Prec@5 81.250 (85.069) Epoch: [85][5530/11272] Time 0.856 (0.795) Data 0.002 (0.002) Loss 1.3582 (1.6021) Prec@1 66.875 (56.790) Prec@5 89.375 (85.067) Epoch: [85][5540/11272] Time 0.866 (0.795) Data 0.001 (0.002) Loss 1.4791 (1.6021) Prec@1 56.250 (56.790) Prec@5 88.125 (85.067) Epoch: [85][5550/11272] Time 0.760 (0.795) Data 0.002 (0.002) Loss 1.7367 (1.6021) Prec@1 56.250 (56.790) Prec@5 82.500 (85.068) Epoch: [85][5560/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.4141 (1.6021) Prec@1 65.625 (56.789) Prec@5 86.875 (85.070) Epoch: [85][5570/11272] Time 0.837 (0.795) Data 0.002 (0.002) Loss 1.8659 (1.6021) Prec@1 53.125 (56.790) Prec@5 77.500 (85.068) Epoch: [85][5580/11272] Time 0.867 (0.795) Data 0.002 (0.002) Loss 1.4610 (1.6021) Prec@1 60.000 (56.791) Prec@5 87.500 (85.068) Epoch: [85][5590/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.6216 (1.6020) Prec@1 58.125 (56.793) Prec@5 83.125 (85.069) Epoch: [85][5600/11272] Time 0.722 (0.795) Data 0.001 (0.002) Loss 1.4482 (1.6020) Prec@1 61.250 (56.790) Prec@5 88.125 (85.068) Epoch: [85][5610/11272] Time 0.917 (0.795) Data 0.002 (0.002) Loss 1.5172 (1.6020) Prec@1 58.125 (56.785) Prec@5 87.500 (85.071) Epoch: [85][5620/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.6509 (1.6019) Prec@1 53.750 (56.786) Prec@5 85.000 (85.072) Epoch: [85][5630/11272] Time 0.762 (0.795) Data 0.002 (0.002) Loss 1.7084 (1.6019) Prec@1 55.625 (56.789) Prec@5 85.625 (85.072) Epoch: [85][5640/11272] Time 0.962 (0.795) Data 0.002 (0.002) Loss 1.6825 (1.6020) Prec@1 57.500 (56.788) Prec@5 86.250 (85.071) Epoch: [85][5650/11272] Time 0.818 (0.795) Data 0.001 (0.002) Loss 1.7939 (1.6019) Prec@1 51.875 (56.792) Prec@5 80.000 (85.071) Epoch: [85][5660/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 1.6350 (1.6019) Prec@1 52.500 (56.792) Prec@5 87.500 (85.071) Epoch: [85][5670/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 1.7755 (1.6020) Prec@1 46.250 (56.786) Prec@5 85.000 (85.069) Epoch: [85][5680/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 1.5597 (1.6020) Prec@1 58.125 (56.786) Prec@5 88.750 (85.070) Epoch: [85][5690/11272] Time 0.850 (0.795) Data 0.002 (0.002) Loss 1.3958 (1.6019) Prec@1 63.125 (56.788) Prec@5 86.250 (85.073) Epoch: [85][5700/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.5501 (1.6018) Prec@1 60.625 (56.789) Prec@5 82.500 (85.073) Epoch: [85][5710/11272] Time 0.709 (0.795) Data 0.001 (0.002) Loss 1.5702 (1.6019) Prec@1 58.750 (56.786) Prec@5 86.250 (85.070) Epoch: [85][5720/11272] Time 0.926 (0.795) Data 0.002 (0.002) Loss 1.5049 (1.6019) Prec@1 55.625 (56.785) Prec@5 88.125 (85.070) Epoch: [85][5730/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 1.8533 (1.6020) Prec@1 55.000 (56.784) Prec@5 78.750 (85.068) Epoch: [85][5740/11272] Time 0.716 (0.795) Data 0.002 (0.002) Loss 1.5318 (1.6020) Prec@1 58.750 (56.787) Prec@5 87.500 (85.068) Epoch: [85][5750/11272] Time 0.851 (0.795) Data 0.002 (0.002) Loss 1.7523 (1.6020) Prec@1 53.125 (56.788) Prec@5 79.375 (85.067) Epoch: [85][5760/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 1.5031 (1.6020) Prec@1 58.125 (56.787) Prec@5 90.000 (85.068) Epoch: [85][5770/11272] Time 0.718 (0.795) Data 0.002 (0.002) Loss 1.7187 (1.6021) Prec@1 53.750 (56.786) Prec@5 80.625 (85.067) Epoch: [85][5780/11272] Time 0.722 (0.795) Data 0.002 (0.002) Loss 1.7203 (1.6022) Prec@1 58.750 (56.784) Prec@5 85.000 (85.066) Epoch: [85][5790/11272] Time 0.834 (0.795) Data 0.001 (0.002) Loss 1.6697 (1.6022) Prec@1 54.375 (56.785) Prec@5 81.875 (85.065) Epoch: [85][5800/11272] Time 0.843 (0.795) Data 0.001 (0.002) Loss 1.5467 (1.6023) Prec@1 56.250 (56.782) Prec@5 87.500 (85.064) Epoch: [85][5810/11272] Time 0.689 (0.795) Data 0.002 (0.002) Loss 1.6741 (1.6023) Prec@1 55.625 (56.783) Prec@5 86.875 (85.065) Epoch: [85][5820/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 1.4692 (1.6023) Prec@1 58.125 (56.782) Prec@5 88.750 (85.066) Epoch: [85][5830/11272] Time 0.841 (0.795) Data 0.001 (0.002) Loss 1.4827 (1.6022) Prec@1 60.625 (56.786) Prec@5 90.000 (85.069) Epoch: [85][5840/11272] Time 0.840 (0.795) Data 0.001 (0.002) Loss 1.4714 (1.6021) Prec@1 58.750 (56.789) Prec@5 85.625 (85.070) Epoch: [85][5850/11272] Time 0.733 (0.795) Data 0.002 (0.002) Loss 1.5655 (1.6021) Prec@1 63.750 (56.792) Prec@5 86.250 (85.070) Epoch: [85][5860/11272] Time 0.743 (0.795) Data 0.002 (0.002) Loss 1.4882 (1.6020) Prec@1 59.375 (56.792) Prec@5 88.750 (85.071) Epoch: [85][5870/11272] Time 0.824 (0.795) Data 0.001 (0.002) Loss 1.6233 (1.6020) Prec@1 58.125 (56.792) Prec@5 85.625 (85.073) Epoch: [85][5880/11272] Time 0.714 (0.795) Data 0.003 (0.002) Loss 1.5462 (1.6020) Prec@1 58.750 (56.791) Prec@5 86.875 (85.070) Epoch: [85][5890/11272] Time 0.718 (0.795) Data 0.002 (0.002) Loss 1.7293 (1.6021) Prec@1 53.750 (56.791) Prec@5 81.875 (85.069) Epoch: [85][5900/11272] Time 0.878 (0.795) Data 0.002 (0.002) Loss 1.6074 (1.6021) Prec@1 54.375 (56.792) Prec@5 88.750 (85.069) Epoch: [85][5910/11272] Time 0.870 (0.795) Data 0.002 (0.002) Loss 1.4765 (1.6022) Prec@1 60.625 (56.791) Prec@5 89.375 (85.069) Epoch: [85][5920/11272] Time 0.712 (0.795) Data 0.002 (0.002) Loss 1.6880 (1.6021) Prec@1 53.750 (56.792) Prec@5 85.000 (85.071) Epoch: [85][5930/11272] Time 0.735 (0.795) Data 0.001 (0.002) Loss 1.7105 (1.6020) Prec@1 53.750 (56.792) Prec@5 85.000 (85.072) Epoch: [85][5940/11272] Time 0.895 (0.795) Data 0.002 (0.002) Loss 1.6744 (1.6020) Prec@1 51.250 (56.793) Prec@5 83.125 (85.073) Epoch: [85][5950/11272] Time 0.845 (0.795) Data 0.002 (0.002) Loss 1.7813 (1.6020) Prec@1 52.500 (56.792) Prec@5 81.875 (85.073) Epoch: [85][5960/11272] Time 0.781 (0.795) Data 0.001 (0.002) Loss 1.7931 (1.6021) Prec@1 53.750 (56.790) Prec@5 78.125 (85.070) Epoch: [85][5970/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.5573 (1.6020) Prec@1 58.750 (56.792) Prec@5 88.125 (85.071) Epoch: [85][5980/11272] Time 0.814 (0.795) Data 0.001 (0.002) Loss 1.6080 (1.6020) Prec@1 55.625 (56.795) Prec@5 85.625 (85.071) Epoch: [85][5990/11272] Time 0.865 (0.795) Data 0.001 (0.002) Loss 1.7216 (1.6021) Prec@1 50.625 (56.793) Prec@5 86.250 (85.070) Epoch: [85][6000/11272] Time 0.693 (0.795) Data 0.001 (0.002) Loss 1.6736 (1.6022) Prec@1 54.375 (56.790) Prec@5 87.500 (85.068) Epoch: [85][6010/11272] Time 0.871 (0.795) Data 0.001 (0.002) Loss 1.6868 (1.6023) Prec@1 58.125 (56.788) Prec@5 82.500 (85.067) Epoch: [85][6020/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 1.6159 (1.6024) Prec@1 53.125 (56.785) Prec@5 87.500 (85.067) Epoch: [85][6030/11272] Time 0.713 (0.795) Data 0.001 (0.002) Loss 1.9235 (1.6024) Prec@1 48.125 (56.784) Prec@5 80.000 (85.067) Epoch: [85][6040/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 1.5291 (1.6024) Prec@1 59.375 (56.783) Prec@5 85.000 (85.067) Epoch: [85][6050/11272] Time 0.876 (0.795) Data 0.001 (0.002) Loss 1.5523 (1.6025) Prec@1 60.625 (56.780) Prec@5 86.250 (85.067) Epoch: [85][6060/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 1.7297 (1.6026) Prec@1 51.250 (56.780) Prec@5 86.875 (85.065) Epoch: [85][6070/11272] Time 0.719 (0.795) Data 0.002 (0.002) Loss 1.7941 (1.6025) Prec@1 53.125 (56.781) Prec@5 81.875 (85.065) Epoch: [85][6080/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 1.7672 (1.6026) Prec@1 52.500 (56.779) Prec@5 83.750 (85.063) Epoch: [85][6090/11272] Time 0.889 (0.795) Data 0.002 (0.002) Loss 1.6443 (1.6027) Prec@1 53.750 (56.776) Prec@5 84.375 (85.062) Epoch: [85][6100/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 1.7249 (1.6027) Prec@1 58.750 (56.777) Prec@5 84.375 (85.062) Epoch: [85][6110/11272] Time 0.712 (0.795) Data 0.002 (0.002) Loss 1.6977 (1.6028) Prec@1 53.125 (56.777) Prec@5 85.000 (85.062) Epoch: [85][6120/11272] Time 0.761 (0.795) Data 0.003 (0.002) Loss 1.4595 (1.6028) Prec@1 63.125 (56.775) Prec@5 85.625 (85.061) Epoch: [85][6130/11272] Time 0.839 (0.795) Data 0.002 (0.002) Loss 1.3676 (1.6028) Prec@1 65.000 (56.774) Prec@5 90.625 (85.061) Epoch: [85][6140/11272] Time 0.824 (0.795) Data 0.002 (0.002) Loss 1.4713 (1.6028) Prec@1 56.250 (56.773) Prec@5 87.500 (85.061) Epoch: [85][6150/11272] Time 0.723 (0.795) Data 0.001 (0.002) Loss 1.6295 (1.6028) Prec@1 52.500 (56.773) Prec@5 84.375 (85.062) Epoch: [85][6160/11272] Time 0.900 (0.795) Data 0.002 (0.002) Loss 1.9201 (1.6029) Prec@1 47.500 (56.773) Prec@5 81.250 (85.059) Epoch: [85][6170/11272] Time 0.890 (0.795) Data 0.001 (0.002) Loss 1.6285 (1.6029) Prec@1 58.125 (56.772) Prec@5 81.875 (85.057) Epoch: [85][6180/11272] Time 0.725 (0.795) Data 0.001 (0.002) Loss 1.6211 (1.6029) Prec@1 55.625 (56.772) Prec@5 85.625 (85.054) Epoch: [85][6190/11272] Time 0.737 (0.795) Data 0.002 (0.002) Loss 1.8222 (1.6030) Prec@1 56.875 (56.772) Prec@5 77.500 (85.054) Epoch: [85][6200/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.6001 (1.6030) Prec@1 58.125 (56.771) Prec@5 86.250 (85.054) Epoch: [85][6210/11272] Time 0.847 (0.795) Data 0.001 (0.002) Loss 1.5445 (1.6030) Prec@1 60.625 (56.770) Prec@5 83.750 (85.053) Epoch: [85][6220/11272] Time 0.714 (0.795) Data 0.002 (0.002) Loss 1.5057 (1.6030) Prec@1 60.000 (56.772) Prec@5 86.875 (85.052) Epoch: [85][6230/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.3798 (1.6029) Prec@1 64.375 (56.774) Prec@5 88.125 (85.053) Epoch: [85][6240/11272] Time 0.880 (0.795) Data 0.002 (0.002) Loss 1.6057 (1.6029) Prec@1 53.125 (56.775) Prec@5 85.625 (85.052) Epoch: [85][6250/11272] Time 0.907 (0.795) Data 0.001 (0.002) Loss 1.6928 (1.6029) Prec@1 48.750 (56.773) Prec@5 87.500 (85.054) Epoch: [85][6260/11272] Time 0.710 (0.795) Data 0.001 (0.002) Loss 1.8681 (1.6029) Prec@1 50.625 (56.771) Prec@5 81.250 (85.052) Epoch: [85][6270/11272] Time 0.726 (0.795) Data 0.002 (0.002) Loss 1.4367 (1.6030) Prec@1 63.750 (56.772) Prec@5 87.500 (85.052) Epoch: [85][6280/11272] Time 0.871 (0.795) Data 0.001 (0.002) Loss 1.7483 (1.6030) Prec@1 50.625 (56.768) Prec@5 81.250 (85.050) Epoch: [85][6290/11272] Time 0.726 (0.795) Data 0.001 (0.002) Loss 1.5602 (1.6030) Prec@1 62.500 (56.767) Prec@5 85.000 (85.052) Epoch: [85][6300/11272] Time 0.731 (0.795) Data 0.002 (0.002) Loss 1.4640 (1.6031) Prec@1 59.375 (56.766) Prec@5 90.000 (85.053) Epoch: [85][6310/11272] Time 0.864 (0.795) Data 0.003 (0.002) Loss 1.7909 (1.6032) Prec@1 58.125 (56.765) Prec@5 84.375 (85.051) Epoch: [85][6320/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 1.5571 (1.6031) Prec@1 61.875 (56.768) Prec@5 85.625 (85.052) Epoch: [85][6330/11272] Time 0.757 (0.795) Data 0.002 (0.002) Loss 1.5741 (1.6031) Prec@1 56.250 (56.768) Prec@5 87.500 (85.052) Epoch: [85][6340/11272] Time 0.729 (0.795) Data 0.001 (0.002) Loss 1.6490 (1.6032) Prec@1 52.500 (56.766) Prec@5 82.500 (85.052) Epoch: [85][6350/11272] Time 0.942 (0.795) Data 0.001 (0.002) Loss 1.7355 (1.6031) Prec@1 60.000 (56.766) Prec@5 81.875 (85.051) Epoch: [85][6360/11272] Time 0.787 (0.795) Data 0.001 (0.002) Loss 1.4561 (1.6032) Prec@1 55.625 (56.762) Prec@5 89.375 (85.051) Epoch: [85][6370/11272] Time 0.701 (0.795) Data 0.001 (0.002) Loss 1.6263 (1.6034) Prec@1 51.875 (56.759) Prec@5 87.500 (85.049) Epoch: [85][6380/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 1.6995 (1.6034) Prec@1 51.250 (56.756) Prec@5 86.250 (85.048) Epoch: [85][6390/11272] Time 0.849 (0.795) Data 0.002 (0.002) Loss 1.6824 (1.6034) Prec@1 56.250 (56.757) Prec@5 82.500 (85.049) Epoch: [85][6400/11272] Time 0.838 (0.795) Data 0.002 (0.002) Loss 1.5108 (1.6034) Prec@1 61.250 (56.758) Prec@5 85.625 (85.048) Epoch: [85][6410/11272] Time 0.739 (0.795) Data 0.002 (0.002) Loss 1.4532 (1.6034) Prec@1 61.875 (56.760) Prec@5 88.125 (85.049) Epoch: [85][6420/11272] Time 0.929 (0.795) Data 0.002 (0.002) Loss 1.3981 (1.6033) Prec@1 63.750 (56.763) Prec@5 86.250 (85.049) Epoch: [85][6430/11272] Time 0.843 (0.795) Data 0.002 (0.002) Loss 1.5271 (1.6032) Prec@1 55.625 (56.765) Prec@5 85.000 (85.048) Epoch: [85][6440/11272] Time 0.692 (0.795) Data 0.001 (0.002) Loss 1.2887 (1.6031) Prec@1 62.500 (56.767) Prec@5 90.625 (85.048) Epoch: [85][6450/11272] Time 0.711 (0.795) Data 0.002 (0.002) Loss 1.5047 (1.6031) Prec@1 57.500 (56.771) Prec@5 85.000 (85.048) Epoch: [85][6460/11272] Time 0.864 (0.795) Data 0.002 (0.002) Loss 1.6639 (1.6030) Prec@1 55.000 (56.772) Prec@5 83.125 (85.047) Epoch: [85][6470/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 1.5364 (1.6030) Prec@1 56.875 (56.773) Prec@5 88.750 (85.049) Epoch: [85][6480/11272] Time 0.746 (0.795) Data 0.002 (0.002) Loss 1.6546 (1.6030) Prec@1 56.875 (56.774) Prec@5 83.750 (85.050) Epoch: [85][6490/11272] Time 0.707 (0.795) Data 0.002 (0.002) Loss 1.4904 (1.6030) Prec@1 60.000 (56.775) Prec@5 88.750 (85.050) Epoch: [85][6500/11272] Time 0.904 (0.795) Data 0.002 (0.002) Loss 1.6141 (1.6030) Prec@1 56.875 (56.775) Prec@5 85.000 (85.052) Epoch: [85][6510/11272] Time 0.854 (0.795) Data 0.004 (0.002) Loss 1.5679 (1.6029) Prec@1 56.250 (56.775) Prec@5 83.750 (85.052) Epoch: [85][6520/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.6317 (1.6029) Prec@1 53.125 (56.776) Prec@5 82.500 (85.053) Epoch: [85][6530/11272] Time 0.746 (0.795) Data 0.002 (0.002) Loss 1.4498 (1.6028) Prec@1 57.500 (56.778) Prec@5 90.625 (85.053) Epoch: [85][6540/11272] Time 0.879 (0.795) Data 0.002 (0.002) Loss 1.5864 (1.6028) Prec@1 55.000 (56.780) Prec@5 83.750 (85.055) Epoch: [85][6550/11272] Time 0.729 (0.795) Data 0.003 (0.002) Loss 1.7272 (1.6029) Prec@1 55.000 (56.777) Prec@5 81.875 (85.052) Epoch: [85][6560/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.4925 (1.6028) Prec@1 58.750 (56.778) Prec@5 87.500 (85.052) Epoch: [85][6570/11272] Time 0.908 (0.795) Data 0.002 (0.002) Loss 1.7279 (1.6029) Prec@1 55.000 (56.778) Prec@5 85.625 (85.051) Epoch: [85][6580/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.8048 (1.6029) Prec@1 56.250 (56.777) Prec@5 80.000 (85.049) Epoch: [85][6590/11272] Time 0.721 (0.795) Data 0.002 (0.002) Loss 1.6739 (1.6029) Prec@1 56.875 (56.779) Prec@5 85.625 (85.049) Epoch: [85][6600/11272] Time 0.753 (0.795) Data 0.001 (0.002) Loss 1.5431 (1.6029) Prec@1 56.875 (56.780) Prec@5 89.375 (85.050) Epoch: [85][6610/11272] Time 0.908 (0.795) Data 0.001 (0.002) Loss 1.6036 (1.6030) Prec@1 61.875 (56.778) Prec@5 83.125 (85.049) Epoch: [85][6620/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 1.4672 (1.6029) Prec@1 62.500 (56.778) Prec@5 88.750 (85.049) Epoch: [85][6630/11272] Time 0.720 (0.795) Data 0.001 (0.002) Loss 1.5571 (1.6029) Prec@1 53.125 (56.778) Prec@5 85.625 (85.050) Epoch: [85][6640/11272] Time 0.711 (0.795) Data 0.001 (0.002) Loss 1.7272 (1.6029) Prec@1 51.250 (56.778) Prec@5 84.375 (85.050) Epoch: [85][6650/11272] Time 0.872 (0.795) Data 0.001 (0.002) Loss 1.7863 (1.6029) Prec@1 50.625 (56.778) Prec@5 80.625 (85.050) Epoch: [85][6660/11272] Time 0.840 (0.795) Data 0.001 (0.002) Loss 1.4330 (1.6030) Prec@1 66.875 (56.776) Prec@5 89.375 (85.049) Epoch: [85][6670/11272] Time 0.741 (0.795) Data 0.001 (0.002) Loss 1.5674 (1.6030) Prec@1 60.000 (56.776) Prec@5 86.250 (85.048) Epoch: [85][6680/11272] Time 0.872 (0.795) Data 0.002 (0.002) Loss 1.6052 (1.6030) Prec@1 56.875 (56.776) Prec@5 88.750 (85.046) Epoch: [85][6690/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 1.6025 (1.6032) Prec@1 58.125 (56.775) Prec@5 86.875 (85.045) Epoch: [85][6700/11272] Time 0.710 (0.795) Data 0.001 (0.002) Loss 1.7557 (1.6032) Prec@1 55.625 (56.775) Prec@5 80.625 (85.044) Epoch: [85][6710/11272] Time 0.743 (0.795) Data 0.001 (0.002) Loss 1.8079 (1.6032) Prec@1 54.375 (56.777) Prec@5 81.875 (85.045) Epoch: [85][6720/11272] Time 0.851 (0.795) Data 0.002 (0.002) Loss 1.6509 (1.6032) Prec@1 51.875 (56.778) Prec@5 82.500 (85.044) Epoch: [85][6730/11272] Time 0.854 (0.795) Data 0.001 (0.002) Loss 1.8868 (1.6032) Prec@1 50.000 (56.773) Prec@5 83.750 (85.042) Epoch: [85][6740/11272] Time 0.750 (0.795) Data 0.001 (0.002) Loss 1.7728 (1.6032) Prec@1 53.750 (56.773) Prec@5 80.625 (85.043) Epoch: [85][6750/11272] Time 0.730 (0.795) Data 0.001 (0.002) Loss 1.6078 (1.6032) Prec@1 56.875 (56.774) Prec@5 86.875 (85.043) Epoch: [85][6760/11272] Time 0.887 (0.795) Data 0.001 (0.002) Loss 1.4164 (1.6033) Prec@1 59.375 (56.774) Prec@5 88.125 (85.043) Epoch: [85][6770/11272] Time 0.857 (0.795) Data 0.002 (0.002) Loss 1.6916 (1.6033) Prec@1 56.875 (56.773) Prec@5 83.750 (85.043) Epoch: [85][6780/11272] Time 0.750 (0.795) Data 0.001 (0.002) Loss 1.6301 (1.6033) Prec@1 56.250 (56.772) Prec@5 83.750 (85.043) Epoch: [85][6790/11272] Time 0.721 (0.795) Data 0.001 (0.002) Loss 1.5353 (1.6033) Prec@1 58.125 (56.770) Prec@5 81.875 (85.043) Epoch: [85][6800/11272] Time 0.844 (0.795) Data 0.003 (0.002) Loss 1.5424 (1.6034) Prec@1 56.250 (56.769) Prec@5 86.250 (85.042) Epoch: [85][6810/11272] Time 0.709 (0.795) Data 0.004 (0.002) Loss 1.5359 (1.6034) Prec@1 58.125 (56.767) Prec@5 88.125 (85.042) Epoch: [85][6820/11272] Time 0.731 (0.795) Data 0.001 (0.002) Loss 1.8547 (1.6035) Prec@1 53.125 (56.765) Prec@5 81.875 (85.041) Epoch: [85][6830/11272] Time 0.871 (0.795) Data 0.002 (0.002) Loss 1.4451 (1.6035) Prec@1 52.500 (56.764) Prec@5 86.875 (85.042) Epoch: [85][6840/11272] Time 0.936 (0.795) Data 0.002 (0.002) Loss 1.6210 (1.6035) Prec@1 55.000 (56.763) Prec@5 83.750 (85.041) Epoch: [85][6850/11272] Time 0.725 (0.795) Data 0.002 (0.002) Loss 1.6786 (1.6037) Prec@1 54.375 (56.760) Prec@5 80.000 (85.037) Epoch: [85][6860/11272] Time 0.727 (0.795) Data 0.002 (0.002) Loss 1.4856 (1.6036) Prec@1 61.250 (56.760) Prec@5 86.875 (85.038) Epoch: [85][6870/11272] Time 0.893 (0.795) Data 0.002 (0.002) Loss 1.5055 (1.6036) Prec@1 57.500 (56.760) Prec@5 86.250 (85.038) Epoch: [85][6880/11272] Time 0.846 (0.795) Data 0.001 (0.002) Loss 1.7006 (1.6037) Prec@1 55.625 (56.758) Prec@5 83.125 (85.038) Epoch: [85][6890/11272] Time 0.696 (0.795) Data 0.000 (0.002) Loss 1.5898 (1.6037) Prec@1 58.125 (56.760) Prec@5 83.125 (85.037) Epoch: [85][6900/11272] Time 0.752 (0.795) Data 0.002 (0.002) Loss 1.6485 (1.6038) Prec@1 56.250 (56.758) Prec@5 85.625 (85.034) Epoch: [85][6910/11272] Time 0.837 (0.795) Data 0.001 (0.002) Loss 1.4563 (1.6038) Prec@1 61.875 (56.759) Prec@5 85.625 (85.034) Epoch: [85][6920/11272] Time 0.859 (0.795) Data 0.002 (0.002) Loss 1.4048 (1.6038) Prec@1 60.625 (56.760) Prec@5 89.375 (85.033) Epoch: [85][6930/11272] Time 0.733 (0.795) Data 0.007 (0.002) Loss 1.6076 (1.6038) Prec@1 56.250 (56.757) Prec@5 81.250 (85.032) Epoch: [85][6940/11272] Time 0.841 (0.795) Data 0.002 (0.002) Loss 1.4706 (1.6039) Prec@1 57.500 (56.757) Prec@5 90.625 (85.034) Epoch: [85][6950/11272] Time 0.942 (0.795) Data 0.001 (0.002) Loss 1.6706 (1.6039) Prec@1 51.250 (56.756) Prec@5 83.750 (85.035) Epoch: [85][6960/11272] Time 0.728 (0.795) Data 0.001 (0.002) Loss 1.5403 (1.6039) Prec@1 55.000 (56.758) Prec@5 85.625 (85.034) Epoch: [85][6970/11272] Time 0.716 (0.795) Data 0.001 (0.002) Loss 1.6143 (1.6040) Prec@1 61.875 (56.755) Prec@5 81.875 (85.033) Epoch: [85][6980/11272] Time 0.873 (0.795) Data 0.001 (0.002) Loss 1.6741 (1.6041) Prec@1 53.125 (56.754) Prec@5 84.375 (85.031) Epoch: [85][6990/11272] Time 0.848 (0.795) Data 0.001 (0.002) Loss 1.5855 (1.6041) Prec@1 55.000 (56.755) Prec@5 85.000 (85.030) Epoch: [85][7000/11272] Time 0.764 (0.795) Data 0.001 (0.002) Loss 1.4214 (1.6041) Prec@1 58.125 (56.754) Prec@5 89.375 (85.029) Epoch: [85][7010/11272] Time 0.712 (0.795) Data 0.001 (0.002) Loss 1.8281 (1.6041) Prec@1 55.000 (56.754) Prec@5 81.875 (85.028) Epoch: [85][7020/11272] Time 0.838 (0.795) Data 0.001 (0.002) Loss 1.6109 (1.6041) Prec@1 58.125 (56.754) Prec@5 84.375 (85.030) Epoch: [85][7030/11272] Time 0.862 (0.795) Data 0.002 (0.002) Loss 1.7134 (1.6042) Prec@1 55.000 (56.753) Prec@5 83.750 (85.028) Epoch: [85][7040/11272] Time 0.722 (0.795) Data 0.002 (0.002) Loss 1.5133 (1.6042) Prec@1 58.125 (56.752) Prec@5 86.875 (85.028) Epoch: [85][7050/11272] Time 0.755 (0.795) Data 0.002 (0.002) Loss 1.6966 (1.6043) Prec@1 54.375 (56.748) Prec@5 81.875 (85.027) Epoch: [85][7060/11272] Time 0.876 (0.795) Data 0.002 (0.002) Loss 1.7001 (1.6043) Prec@1 55.000 (56.747) Prec@5 83.125 (85.027) Epoch: [85][7070/11272] Time 0.886 (0.795) Data 0.002 (0.002) Loss 1.7140 (1.6044) Prec@1 58.750 (56.746) Prec@5 81.875 (85.026) Epoch: [85][7080/11272] Time 0.763 (0.795) Data 0.002 (0.002) Loss 1.6708 (1.6044) Prec@1 48.125 (56.743) Prec@5 86.250 (85.027) Epoch: [85][7090/11272] Time 0.904 (0.795) Data 0.002 (0.002) Loss 1.4702 (1.6044) Prec@1 60.000 (56.742) Prec@5 86.875 (85.027) Epoch: [85][7100/11272] Time 0.851 (0.795) Data 0.001 (0.002) Loss 1.7264 (1.6044) Prec@1 50.000 (56.743) Prec@5 84.375 (85.028) Epoch: [85][7110/11272] Time 0.720 (0.795) Data 0.002 (0.002) Loss 1.6430 (1.6044) Prec@1 58.750 (56.740) Prec@5 85.625 (85.029) Epoch: [85][7120/11272] Time 0.747 (0.795) Data 0.002 (0.002) Loss 1.3632 (1.6044) Prec@1 63.125 (56.737) Prec@5 88.125 (85.028) Epoch: [85][7130/11272] Time 0.848 (0.795) Data 0.001 (0.002) Loss 1.4463 (1.6044) Prec@1 61.250 (56.736) Prec@5 85.625 (85.028) Epoch: [85][7140/11272] Time 0.855 (0.795) Data 0.002 (0.002) Loss 1.4898 (1.6045) Prec@1 55.625 (56.734) Prec@5 88.125 (85.028) Epoch: [85][7150/11272] Time 0.708 (0.795) Data 0.001 (0.002) Loss 1.6395 (1.6044) Prec@1 55.625 (56.735) Prec@5 85.625 (85.029) Epoch: [85][7160/11272] Time 0.716 (0.794) Data 0.002 (0.002) Loss 1.7064 (1.6045) Prec@1 55.625 (56.733) Prec@5 85.625 (85.029) Epoch: [85][7170/11272] Time 0.878 (0.795) Data 0.002 (0.002) Loss 1.7222 (1.6046) Prec@1 57.500 (56.732) Prec@5 82.500 (85.027) Epoch: [85][7180/11272] Time 0.823 (0.794) Data 0.002 (0.002) Loss 1.5344 (1.6046) Prec@1 57.500 (56.731) Prec@5 84.375 (85.025) Epoch: [85][7190/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.4905 (1.6046) Prec@1 60.000 (56.731) Prec@5 85.000 (85.026) Epoch: [85][7200/11272] Time 0.709 (0.794) Data 0.001 (0.002) Loss 1.6784 (1.6046) Prec@1 58.750 (56.731) Prec@5 80.625 (85.025) Epoch: [85][7210/11272] Time 0.820 (0.794) Data 0.002 (0.002) Loss 1.5381 (1.6045) Prec@1 58.125 (56.733) Prec@5 88.750 (85.026) Epoch: [85][7220/11272] Time 0.719 (0.794) Data 0.001 (0.002) Loss 1.4959 (1.6046) Prec@1 60.000 (56.731) Prec@5 86.875 (85.025) Epoch: [85][7230/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.7315 (1.6046) Prec@1 51.875 (56.730) Prec@5 83.125 (85.026) Epoch: [85][7240/11272] Time 0.834 (0.794) Data 0.001 (0.002) Loss 1.5059 (1.6046) Prec@1 57.500 (56.729) Prec@5 87.500 (85.024) Epoch: [85][7250/11272] Time 0.839 (0.794) Data 0.002 (0.002) Loss 1.6625 (1.6046) Prec@1 53.125 (56.731) Prec@5 82.500 (85.026) Epoch: [85][7260/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.5743 (1.6045) Prec@1 57.500 (56.732) Prec@5 86.875 (85.027) Epoch: [85][7270/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 1.6337 (1.6045) Prec@1 57.500 (56.732) Prec@5 86.250 (85.028) Epoch: [85][7280/11272] Time 0.895 (0.794) Data 0.001 (0.002) Loss 1.3564 (1.6045) Prec@1 61.250 (56.731) Prec@5 88.125 (85.027) Epoch: [85][7290/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.6590 (1.6046) Prec@1 56.875 (56.729) Prec@5 81.875 (85.027) Epoch: [85][7300/11272] Time 0.728 (0.794) Data 0.002 (0.002) Loss 1.6282 (1.6047) Prec@1 53.750 (56.726) Prec@5 86.875 (85.026) Epoch: [85][7310/11272] Time 0.704 (0.794) Data 0.002 (0.002) Loss 1.4968 (1.6047) Prec@1 61.875 (56.725) Prec@5 87.500 (85.025) Epoch: [85][7320/11272] Time 0.841 (0.794) Data 0.002 (0.002) Loss 1.7182 (1.6048) Prec@1 50.625 (56.722) Prec@5 82.500 (85.023) Epoch: [85][7330/11272] Time 0.836 (0.794) Data 0.002 (0.002) Loss 1.7045 (1.6047) Prec@1 56.875 (56.722) Prec@5 81.875 (85.025) Epoch: [85][7340/11272] Time 0.762 (0.794) Data 0.002 (0.002) Loss 1.6414 (1.6047) Prec@1 57.500 (56.723) Prec@5 84.375 (85.024) Epoch: [85][7350/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.4293 (1.6047) Prec@1 60.000 (56.723) Prec@5 85.625 (85.025) Epoch: [85][7360/11272] Time 0.880 (0.794) Data 0.001 (0.002) Loss 1.6973 (1.6048) Prec@1 53.125 (56.722) Prec@5 86.250 (85.024) Epoch: [85][7370/11272] Time 0.749 (0.794) Data 0.002 (0.002) Loss 1.8332 (1.6048) Prec@1 53.125 (56.720) Prec@5 82.500 (85.025) Epoch: [85][7380/11272] Time 0.697 (0.794) Data 0.001 (0.002) Loss 1.3765 (1.6047) Prec@1 61.250 (56.721) Prec@5 88.750 (85.026) Epoch: [85][7390/11272] Time 0.853 (0.794) Data 0.001 (0.002) Loss 1.7002 (1.6047) Prec@1 55.625 (56.721) Prec@5 85.000 (85.027) Epoch: [85][7400/11272] Time 0.880 (0.794) Data 0.001 (0.002) Loss 1.7413 (1.6047) Prec@1 50.625 (56.720) Prec@5 82.500 (85.027) Epoch: [85][7410/11272] Time 0.738 (0.794) Data 0.001 (0.002) Loss 1.7251 (1.6047) Prec@1 51.875 (56.721) Prec@5 83.750 (85.026) Epoch: [85][7420/11272] Time 0.721 (0.794) Data 0.002 (0.002) Loss 1.6000 (1.6047) Prec@1 58.750 (56.723) Prec@5 87.500 (85.027) Epoch: [85][7430/11272] Time 0.869 (0.794) Data 0.002 (0.002) Loss 1.9364 (1.6048) Prec@1 42.500 (56.719) Prec@5 80.625 (85.026) Epoch: [85][7440/11272] Time 0.856 (0.794) Data 0.002 (0.002) Loss 1.4819 (1.6048) Prec@1 60.625 (56.719) Prec@5 86.875 (85.024) Epoch: [85][7450/11272] Time 0.740 (0.794) Data 0.001 (0.002) Loss 1.5353 (1.6047) Prec@1 61.250 (56.719) Prec@5 85.625 (85.026) Epoch: [85][7460/11272] Time 0.693 (0.794) Data 0.002 (0.002) Loss 1.7407 (1.6048) Prec@1 55.000 (56.718) Prec@5 84.375 (85.024) Epoch: [85][7470/11272] Time 0.876 (0.794) Data 0.002 (0.002) Loss 1.5817 (1.6048) Prec@1 57.500 (56.719) Prec@5 86.250 (85.024) Epoch: [85][7480/11272] Time 0.707 (0.794) Data 0.003 (0.002) Loss 1.6227 (1.6047) Prec@1 56.250 (56.722) Prec@5 83.125 (85.024) Epoch: [85][7490/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.6671 (1.6047) Prec@1 53.750 (56.719) Prec@5 85.625 (85.025) Epoch: [85][7500/11272] Time 0.896 (0.794) Data 0.002 (0.002) Loss 1.7024 (1.6047) Prec@1 50.000 (56.720) Prec@5 85.625 (85.025) Epoch: [85][7510/11272] Time 0.849 (0.794) Data 0.001 (0.002) Loss 1.5932 (1.6047) Prec@1 53.750 (56.718) Prec@5 86.875 (85.027) Epoch: [85][7520/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.6772 (1.6048) Prec@1 51.250 (56.717) Prec@5 85.625 (85.025) Epoch: [85][7530/11272] Time 0.708 (0.794) Data 0.002 (0.002) Loss 1.4343 (1.6048) Prec@1 61.250 (56.717) Prec@5 86.875 (85.023) Epoch: [85][7540/11272] Time 0.879 (0.794) Data 0.002 (0.002) Loss 1.8266 (1.6047) Prec@1 50.625 (56.716) Prec@5 81.250 (85.024) Epoch: [85][7550/11272] Time 0.831 (0.794) Data 0.001 (0.002) Loss 1.5990 (1.6047) Prec@1 59.375 (56.717) Prec@5 85.625 (85.022) Epoch: [85][7560/11272] Time 0.691 (0.794) Data 0.001 (0.002) Loss 1.6616 (1.6049) Prec@1 55.000 (56.715) Prec@5 83.750 (85.021) Epoch: [85][7570/11272] Time 0.741 (0.794) Data 0.001 (0.002) Loss 1.5128 (1.6048) Prec@1 59.375 (56.717) Prec@5 86.875 (85.022) Epoch: [85][7580/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.7186 (1.6048) Prec@1 55.625 (56.713) Prec@5 86.875 (85.022) Epoch: [85][7590/11272] Time 0.798 (0.794) Data 0.001 (0.002) Loss 1.5283 (1.6049) Prec@1 62.500 (56.713) Prec@5 81.250 (85.019) Epoch: [85][7600/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.3891 (1.6049) Prec@1 61.875 (56.713) Prec@5 86.875 (85.019) Epoch: [85][7610/11272] Time 0.866 (0.794) Data 0.001 (0.002) Loss 1.6525 (1.6049) Prec@1 54.375 (56.713) Prec@5 86.875 (85.018) Epoch: [85][7620/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.6824 (1.6049) Prec@1 54.375 (56.713) Prec@5 82.500 (85.019) Epoch: [85][7630/11272] Time 0.718 (0.794) Data 0.002 (0.002) Loss 1.2906 (1.6048) Prec@1 60.625 (56.718) Prec@5 92.500 (85.021) Epoch: [85][7640/11272] Time 0.751 (0.794) Data 0.002 (0.002) Loss 1.6036 (1.6048) Prec@1 56.875 (56.717) Prec@5 83.750 (85.021) Epoch: [85][7650/11272] Time 0.859 (0.794) Data 0.002 (0.002) Loss 1.7279 (1.6048) Prec@1 51.250 (56.719) Prec@5 85.000 (85.020) Epoch: [85][7660/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 1.4782 (1.6048) Prec@1 61.250 (56.718) Prec@5 86.875 (85.019) Epoch: [85][7670/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.4799 (1.6048) Prec@1 58.125 (56.719) Prec@5 87.500 (85.018) Epoch: [85][7680/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 1.7809 (1.6049) Prec@1 53.125 (56.719) Prec@5 85.000 (85.018) Epoch: [85][7690/11272] Time 0.883 (0.794) Data 0.002 (0.002) Loss 1.5639 (1.6050) Prec@1 60.000 (56.717) Prec@5 87.500 (85.018) Epoch: [85][7700/11272] Time 0.815 (0.794) Data 0.001 (0.002) Loss 1.8106 (1.6051) Prec@1 53.125 (56.712) Prec@5 81.875 (85.015) Epoch: [85][7710/11272] Time 0.686 (0.794) Data 0.001 (0.002) Loss 1.5141 (1.6052) Prec@1 56.875 (56.709) Prec@5 86.250 (85.014) Epoch: [85][7720/11272] Time 0.737 (0.794) Data 0.002 (0.002) Loss 1.7006 (1.6052) Prec@1 58.125 (56.709) Prec@5 81.875 (85.014) Epoch: [85][7730/11272] Time 0.843 (0.794) Data 0.002 (0.002) Loss 1.5957 (1.6053) Prec@1 56.250 (56.706) Prec@5 81.250 (85.013) Epoch: [85][7740/11272] Time 0.709 (0.794) Data 0.003 (0.002) Loss 1.5163 (1.6053) Prec@1 61.875 (56.706) Prec@5 85.625 (85.011) Epoch: [85][7750/11272] Time 0.739 (0.794) Data 0.001 (0.002) Loss 1.6226 (1.6054) Prec@1 57.500 (56.706) Prec@5 84.375 (85.011) Epoch: [85][7760/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.7438 (1.6054) Prec@1 53.750 (56.705) Prec@5 83.125 (85.010) Epoch: [85][7770/11272] Time 0.860 (0.794) Data 0.001 (0.002) Loss 1.5400 (1.6055) Prec@1 58.125 (56.702) Prec@5 85.000 (85.008) Epoch: [85][7780/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.7366 (1.6056) Prec@1 58.750 (56.702) Prec@5 81.250 (85.007) Epoch: [85][7790/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 1.8633 (1.6056) Prec@1 54.375 (56.701) Prec@5 83.750 (85.008) Epoch: [85][7800/11272] Time 0.885 (0.794) Data 0.001 (0.002) Loss 1.4249 (1.6056) Prec@1 60.000 (56.701) Prec@5 87.500 (85.008) Epoch: [85][7810/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 1.7032 (1.6056) Prec@1 56.875 (56.701) Prec@5 83.125 (85.009) Epoch: [85][7820/11272] Time 0.717 (0.794) Data 0.002 (0.002) Loss 1.5240 (1.6056) Prec@1 58.125 (56.700) Prec@5 86.875 (85.009) Epoch: [85][7830/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 1.8157 (1.6057) Prec@1 56.250 (56.697) Prec@5 80.000 (85.006) Epoch: [85][7840/11272] Time 0.904 (0.794) Data 0.002 (0.002) Loss 1.9017 (1.6057) Prec@1 53.750 (56.697) Prec@5 77.500 (85.004) Epoch: [85][7850/11272] Time 0.845 (0.794) Data 0.001 (0.002) Loss 1.8329 (1.6058) Prec@1 48.125 (56.697) Prec@5 82.500 (85.003) Epoch: [85][7860/11272] Time 0.729 (0.794) Data 0.002 (0.002) Loss 1.5197 (1.6059) Prec@1 57.500 (56.694) Prec@5 86.250 (85.002) Epoch: [85][7870/11272] Time 0.894 (0.794) Data 0.002 (0.002) Loss 1.4975 (1.6058) Prec@1 58.125 (56.695) Prec@5 87.500 (85.003) Epoch: [85][7880/11272] Time 0.874 (0.794) Data 0.001 (0.002) Loss 1.7428 (1.6058) Prec@1 55.625 (56.697) Prec@5 83.125 (85.005) Epoch: [85][7890/11272] Time 0.759 (0.794) Data 0.002 (0.002) Loss 1.5464 (1.6057) Prec@1 60.000 (56.699) Prec@5 85.000 (85.006) Epoch: [85][7900/11272] Time 0.741 (0.794) Data 0.002 (0.002) Loss 1.7158 (1.6056) Prec@1 53.125 (56.700) Prec@5 85.625 (85.007) Epoch: [85][7910/11272] Time 0.878 (0.794) Data 0.002 (0.002) Loss 1.5134 (1.6056) Prec@1 60.000 (56.701) Prec@5 85.000 (85.007) Epoch: [85][7920/11272] Time 0.839 (0.794) Data 0.001 (0.002) Loss 1.6736 (1.6056) Prec@1 55.000 (56.700) Prec@5 83.125 (85.008) Epoch: [85][7930/11272] Time 0.720 (0.794) Data 0.001 (0.002) Loss 1.5769 (1.6055) Prec@1 51.875 (56.702) Prec@5 89.375 (85.010) Epoch: [85][7940/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.5909 (1.6056) Prec@1 53.750 (56.701) Prec@5 86.250 (85.009) Epoch: [85][7950/11272] Time 0.897 (0.794) Data 0.002 (0.002) Loss 1.6938 (1.6058) Prec@1 55.000 (56.698) Prec@5 85.000 (85.008) Epoch: [85][7960/11272] Time 0.844 (0.794) Data 0.002 (0.002) Loss 1.4593 (1.6058) Prec@1 59.375 (56.695) Prec@5 86.875 (85.008) Epoch: [85][7970/11272] Time 0.713 (0.794) Data 0.002 (0.002) Loss 1.7191 (1.6059) Prec@1 50.000 (56.695) Prec@5 81.250 (85.007) Epoch: [85][7980/11272] Time 0.725 (0.794) Data 0.002 (0.002) Loss 1.9056 (1.6059) Prec@1 43.750 (56.692) Prec@5 82.500 (85.007) Epoch: [85][7990/11272] Time 0.880 (0.794) Data 0.002 (0.002) Loss 1.6049 (1.6060) Prec@1 60.625 (56.692) Prec@5 85.625 (85.006) Epoch: [85][8000/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 1.6581 (1.6060) Prec@1 55.625 (56.692) Prec@5 81.875 (85.006) Epoch: [85][8010/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.5625 (1.6060) Prec@1 57.500 (56.691) Prec@5 88.125 (85.005) Epoch: [85][8020/11272] Time 0.824 (0.794) Data 0.001 (0.002) Loss 1.7068 (1.6060) Prec@1 51.875 (56.692) Prec@5 82.500 (85.005) Epoch: [85][8030/11272] Time 0.857 (0.794) Data 0.001 (0.002) Loss 1.5312 (1.6059) Prec@1 62.500 (56.692) Prec@5 86.250 (85.005) Epoch: [85][8040/11272] Time 0.731 (0.794) Data 0.002 (0.002) Loss 1.5171 (1.6059) Prec@1 59.375 (56.691) Prec@5 85.000 (85.004) Epoch: [85][8050/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.6092 (1.6060) Prec@1 54.375 (56.688) Prec@5 86.875 (85.003) Epoch: [85][8060/11272] Time 0.861 (0.794) Data 0.001 (0.002) Loss 1.8022 (1.6060) Prec@1 56.250 (56.690) Prec@5 80.000 (85.003) Epoch: [85][8070/11272] Time 0.877 (0.794) Data 0.001 (0.002) Loss 1.5513 (1.6061) Prec@1 58.750 (56.690) Prec@5 86.875 (85.002) Epoch: [85][8080/11272] Time 0.734 (0.794) Data 0.002 (0.002) Loss 1.7596 (1.6061) Prec@1 55.000 (56.689) Prec@5 82.500 (85.000) Epoch: [85][8090/11272] Time 0.725 (0.794) Data 0.001 (0.002) Loss 1.5471 (1.6061) Prec@1 58.750 (56.688) Prec@5 87.500 (85.000) Epoch: [85][8100/11272] Time 0.847 (0.794) Data 0.002 (0.002) Loss 1.8699 (1.6061) Prec@1 50.625 (56.688) Prec@5 81.250 (85.001) Epoch: [85][8110/11272] Time 0.911 (0.794) Data 0.002 (0.002) Loss 1.4771 (1.6061) Prec@1 62.500 (56.688) Prec@5 88.750 (85.000) Epoch: [85][8120/11272] Time 0.707 (0.794) Data 0.001 (0.002) Loss 1.6931 (1.6061) Prec@1 53.125 (56.689) Prec@5 84.375 (84.999) Epoch: [85][8130/11272] Time 0.711 (0.794) Data 0.001 (0.002) Loss 1.8047 (1.6062) Prec@1 52.500 (56.687) Prec@5 83.750 (84.999) Epoch: [85][8140/11272] Time 0.912 (0.794) Data 0.002 (0.002) Loss 1.6499 (1.6062) Prec@1 52.500 (56.687) Prec@5 85.000 (84.999) Epoch: [85][8150/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.7346 (1.6062) Prec@1 52.500 (56.687) Prec@5 84.375 (85.000) Epoch: [85][8160/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 1.5774 (1.6063) Prec@1 57.500 (56.685) Prec@5 88.125 (85.001) Epoch: [85][8170/11272] Time 0.857 (0.794) Data 0.002 (0.002) Loss 1.3674 (1.6063) Prec@1 58.750 (56.683) Prec@5 92.500 (85.001) Epoch: [85][8180/11272] Time 0.824 (0.794) Data 0.002 (0.002) Loss 1.4506 (1.6063) Prec@1 56.875 (56.682) Prec@5 90.625 (85.003) Epoch: [85][8190/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 1.9069 (1.6063) Prec@1 50.625 (56.680) Prec@5 80.000 (85.002) Epoch: [85][8200/11272] Time 0.753 (0.794) Data 0.002 (0.002) Loss 1.6808 (1.6064) Prec@1 54.375 (56.678) Prec@5 83.750 (85.000) Epoch: [85][8210/11272] Time 0.870 (0.794) Data 0.002 (0.002) Loss 1.5283 (1.6063) Prec@1 63.125 (56.679) Prec@5 82.500 (85.001) Epoch: [85][8220/11272] Time 0.838 (0.794) Data 0.002 (0.002) Loss 1.3872 (1.6064) Prec@1 61.875 (56.679) Prec@5 90.000 (85.001) Epoch: [85][8230/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 1.6661 (1.6063) Prec@1 53.750 (56.680) Prec@5 84.375 (85.001) Epoch: [85][8240/11272] Time 0.764 (0.794) Data 0.001 (0.002) Loss 1.7735 (1.6064) Prec@1 53.125 (56.678) Prec@5 84.375 (84.999) Epoch: [85][8250/11272] Time 0.842 (0.794) Data 0.002 (0.002) Loss 1.5813 (1.6065) Prec@1 58.750 (56.676) Prec@5 86.250 (84.997) Epoch: [85][8260/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.8735 (1.6066) Prec@1 51.875 (56.676) Prec@5 81.250 (84.996) Epoch: [85][8270/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.4867 (1.6066) Prec@1 60.000 (56.675) Prec@5 86.875 (84.996) Epoch: [85][8280/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.7400 (1.6066) Prec@1 51.250 (56.674) Prec@5 80.625 (84.995) Epoch: [85][8290/11272] Time 0.840 (0.794) Data 0.001 (0.002) Loss 1.5985 (1.6066) Prec@1 53.750 (56.671) Prec@5 85.000 (84.995) Epoch: [85][8300/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 1.6728 (1.6067) Prec@1 55.625 (56.668) Prec@5 83.750 (84.995) Epoch: [85][8310/11272] Time 0.714 (0.794) Data 0.002 (0.002) Loss 1.6211 (1.6067) Prec@1 60.000 (56.666) Prec@5 86.875 (84.995) Epoch: [85][8320/11272] Time 0.868 (0.794) Data 0.002 (0.002) Loss 1.4406 (1.6067) Prec@1 56.875 (56.667) Prec@5 89.375 (84.995) Epoch: [85][8330/11272] Time 0.851 (0.794) Data 0.002 (0.002) Loss 1.5608 (1.6067) Prec@1 58.750 (56.665) Prec@5 83.125 (84.995) Epoch: [85][8340/11272] Time 0.730 (0.794) Data 0.002 (0.002) Loss 1.6154 (1.6068) Prec@1 58.750 (56.664) Prec@5 82.500 (84.994) Epoch: [85][8350/11272] Time 0.719 (0.794) Data 0.002 (0.002) Loss 1.5311 (1.6068) Prec@1 60.625 (56.667) Prec@5 89.375 (84.995) Epoch: [85][8360/11272] Time 0.865 (0.794) Data 0.001 (0.002) Loss 1.7253 (1.6068) Prec@1 55.000 (56.668) Prec@5 85.625 (84.995) Epoch: [85][8370/11272] Time 0.850 (0.794) Data 0.001 (0.002) Loss 1.8534 (1.6068) Prec@1 52.500 (56.669) Prec@5 78.125 (84.993) Epoch: [85][8380/11272] Time 0.732 (0.794) Data 0.001 (0.002) Loss 1.5775 (1.6067) Prec@1 60.000 (56.671) Prec@5 86.250 (84.995) Epoch: [85][8390/11272] Time 0.712 (0.794) Data 0.001 (0.002) Loss 1.3507 (1.6067) Prec@1 63.125 (56.671) Prec@5 90.625 (84.996) Epoch: [85][8400/11272] Time 0.851 (0.794) Data 0.001 (0.002) Loss 1.4807 (1.6067) Prec@1 58.125 (56.670) Prec@5 87.500 (84.996) Epoch: [85][8410/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 1.6550 (1.6067) Prec@1 54.375 (56.671) Prec@5 83.125 (84.996) Epoch: [85][8420/11272] Time 0.744 (0.794) Data 0.002 (0.002) Loss 1.7157 (1.6066) Prec@1 54.375 (56.672) Prec@5 83.125 (84.997) Epoch: [85][8430/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.3780 (1.6065) Prec@1 60.000 (56.674) Prec@5 91.875 (84.998) Epoch: [85][8440/11272] Time 0.825 (0.794) Data 0.002 (0.002) Loss 1.8130 (1.6065) Prec@1 51.875 (56.673) Prec@5 80.000 (84.999) Epoch: [85][8450/11272] Time 0.717 (0.794) Data 0.001 (0.002) Loss 1.4422 (1.6066) Prec@1 56.875 (56.672) Prec@5 86.875 (84.998) Epoch: [85][8460/11272] Time 0.764 (0.794) Data 0.001 (0.002) Loss 1.4336 (1.6065) Prec@1 64.375 (56.674) Prec@5 83.750 (84.997) Epoch: [85][8470/11272] Time 0.887 (0.794) Data 0.001 (0.002) Loss 1.5430 (1.6065) Prec@1 56.250 (56.673) Prec@5 86.250 (84.997) Epoch: [85][8480/11272] Time 0.871 (0.794) Data 0.002 (0.002) Loss 1.6006 (1.6065) Prec@1 56.250 (56.673) Prec@5 85.000 (84.998) Epoch: [85][8490/11272] Time 0.714 (0.794) Data 0.001 (0.002) Loss 1.5505 (1.6065) Prec@1 58.750 (56.674) Prec@5 85.625 (84.999) Epoch: [85][8500/11272] Time 0.743 (0.794) Data 0.002 (0.002) Loss 1.5348 (1.6066) Prec@1 55.000 (56.673) Prec@5 86.250 (84.998) Epoch: [85][8510/11272] Time 0.863 (0.794) Data 0.001 (0.002) Loss 1.5051 (1.6065) Prec@1 65.625 (56.677) Prec@5 86.250 (84.999) Epoch: [85][8520/11272] Time 0.873 (0.794) Data 0.002 (0.002) Loss 1.6447 (1.6065) Prec@1 56.875 (56.675) Prec@5 86.250 (85.000) Epoch: [85][8530/11272] Time 0.736 (0.794) Data 0.001 (0.002) Loss 1.7553 (1.6065) Prec@1 52.500 (56.673) Prec@5 83.125 (85.000) Epoch: [85][8540/11272] Time 0.868 (0.794) Data 0.001 (0.002) Loss 1.6988 (1.6066) Prec@1 55.000 (56.672) Prec@5 81.875 (84.998) Epoch: [85][8550/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.4781 (1.6066) Prec@1 56.875 (56.672) Prec@5 84.375 (84.998) Epoch: [85][8560/11272] Time 0.707 (0.794) Data 0.002 (0.002) Loss 1.3676 (1.6066) Prec@1 65.000 (56.672) Prec@5 83.125 (84.998) Epoch: [85][8570/11272] Time 0.710 (0.794) Data 0.002 (0.002) Loss 1.3753 (1.6065) Prec@1 64.375 (56.675) Prec@5 88.750 (84.999) Epoch: [85][8580/11272] Time 0.819 (0.794) Data 0.001 (0.002) Loss 1.5310 (1.6064) Prec@1 61.875 (56.679) Prec@5 87.500 (85.000) Epoch: [85][8590/11272] Time 0.875 (0.794) Data 0.002 (0.002) Loss 1.5115 (1.6064) Prec@1 62.500 (56.677) Prec@5 83.125 (85.001) Epoch: [85][8600/11272] Time 0.710 (0.794) Data 0.002 (0.002) Loss 1.6167 (1.6064) Prec@1 60.000 (56.678) Prec@5 83.750 (85.000) Epoch: [85][8610/11272] Time 0.708 (0.794) Data 0.002 (0.002) Loss 1.5310 (1.6064) Prec@1 55.625 (56.677) Prec@5 85.000 (85.000) Epoch: [85][8620/11272] Time 0.853 (0.794) Data 0.002 (0.002) Loss 1.8263 (1.6064) Prec@1 53.125 (56.679) Prec@5 81.250 (85.000) Epoch: [85][8630/11272] Time 0.946 (0.794) Data 0.001 (0.002) Loss 1.3813 (1.6063) Prec@1 56.875 (56.679) Prec@5 89.375 (85.002) Epoch: [85][8640/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 1.5999 (1.6064) Prec@1 60.625 (56.677) Prec@5 86.875 (85.001) Epoch: [85][8650/11272] Time 0.715 (0.794) Data 0.005 (0.002) Loss 1.5086 (1.6065) Prec@1 58.750 (56.677) Prec@5 87.500 (85.000) Epoch: [85][8660/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.5065 (1.6065) Prec@1 60.625 (56.677) Prec@5 86.875 (85.001) Epoch: [85][8670/11272] Time 0.724 (0.794) Data 0.003 (0.002) Loss 1.5477 (1.6065) Prec@1 55.000 (56.676) Prec@5 87.500 (85.001) Epoch: [85][8680/11272] Time 0.715 (0.794) Data 0.001 (0.002) Loss 1.4001 (1.6064) Prec@1 64.375 (56.677) Prec@5 90.000 (85.003) Epoch: [85][8690/11272] Time 0.864 (0.794) Data 0.002 (0.002) Loss 1.6367 (1.6065) Prec@1 53.750 (56.676) Prec@5 84.375 (85.003) Epoch: [85][8700/11272] Time 0.872 (0.794) Data 0.002 (0.002) Loss 1.4753 (1.6064) Prec@1 63.750 (56.676) Prec@5 85.625 (85.003) Epoch: [85][8710/11272] Time 0.720 (0.794) Data 0.002 (0.002) Loss 1.4429 (1.6064) Prec@1 60.000 (56.676) Prec@5 85.625 (85.002) Epoch: [85][8720/11272] Time 0.722 (0.794) Data 0.002 (0.002) Loss 1.6076 (1.6065) Prec@1 60.625 (56.677) Prec@5 83.125 (85.002) Epoch: [85][8730/11272] Time 0.892 (0.794) Data 0.002 (0.002) Loss 1.6626 (1.6064) Prec@1 58.750 (56.678) Prec@5 85.000 (85.003) Epoch: [85][8740/11272] Time 0.841 (0.794) Data 0.001 (0.002) Loss 1.8131 (1.6065) Prec@1 50.625 (56.677) Prec@5 82.500 (85.003) Epoch: [85][8750/11272] Time 0.739 (0.794) Data 0.002 (0.002) Loss 1.6049 (1.6065) Prec@1 60.000 (56.677) Prec@5 83.125 (85.002) Epoch: [85][8760/11272] Time 0.745 (0.794) Data 0.002 (0.002) Loss 1.7701 (1.6066) Prec@1 50.000 (56.675) Prec@5 83.125 (85.001) Epoch: [85][8770/11272] Time 0.863 (0.794) Data 0.002 (0.002) Loss 1.6579 (1.6065) Prec@1 51.875 (56.675) Prec@5 86.875 (85.001) Epoch: [85][8780/11272] Time 0.846 (0.794) Data 0.002 (0.002) Loss 1.7212 (1.6066) Prec@1 50.625 (56.673) Prec@5 86.250 (85.000) Epoch: [85][8790/11272] Time 0.713 (0.794) Data 0.001 (0.002) Loss 1.8098 (1.6065) Prec@1 51.875 (56.674) Prec@5 85.000 (85.002) Epoch: [85][8800/11272] Time 0.882 (0.794) Data 0.002 (0.002) Loss 1.7212 (1.6066) Prec@1 52.500 (56.673) Prec@5 82.500 (85.000) Epoch: [85][8810/11272] Time 0.870 (0.794) Data 0.001 (0.002) Loss 1.5736 (1.6067) Prec@1 53.125 (56.672) Prec@5 84.375 (84.999) Epoch: [85][8820/11272] Time 0.713 (0.794) Data 0.002 (0.002) Loss 1.5240 (1.6067) Prec@1 53.125 (56.670) Prec@5 87.500 (84.998) Epoch: [85][8830/11272] Time 0.748 (0.794) Data 0.002 (0.002) Loss 1.6946 (1.6067) Prec@1 53.125 (56.668) Prec@5 85.625 (84.999) Epoch: [85][8840/11272] Time 0.847 (0.794) Data 0.001 (0.002) Loss 1.8636 (1.6067) Prec@1 52.500 (56.669) Prec@5 83.125 (84.999) Epoch: [85][8850/11272] Time 0.918 (0.794) Data 0.002 (0.002) Loss 1.8648 (1.6068) Prec@1 48.750 (56.666) Prec@5 78.750 (84.999) Epoch: [85][8860/11272] Time 0.727 (0.794) Data 0.001 (0.002) Loss 1.7226 (1.6068) Prec@1 51.875 (56.666) Prec@5 81.250 (84.998) Epoch: [85][8870/11272] Time 0.764 (0.793) Data 0.002 (0.002) Loss 1.4819 (1.6068) Prec@1 60.000 (56.666) Prec@5 85.625 (84.998) Epoch: [85][8880/11272] Time 0.827 (0.793) Data 0.002 (0.002) Loss 1.5201 (1.6068) Prec@1 62.500 (56.667) Prec@5 86.875 (84.999) Epoch: [85][8890/11272] Time 0.888 (0.793) Data 0.001 (0.002) Loss 1.4868 (1.6067) Prec@1 61.875 (56.668) Prec@5 90.000 (85.001) Epoch: [85][8900/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 1.5063 (1.6068) Prec@1 58.125 (56.666) Prec@5 86.875 (85.000) Epoch: [85][8910/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.8129 (1.6068) Prec@1 52.500 (56.664) Prec@5 80.000 (84.999) Epoch: [85][8920/11272] Time 0.857 (0.793) Data 0.001 (0.002) Loss 1.4962 (1.6068) Prec@1 61.875 (56.663) Prec@5 86.875 (84.999) Epoch: [85][8930/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 1.6253 (1.6068) Prec@1 51.875 (56.662) Prec@5 87.500 (85.000) Epoch: [85][8940/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.7641 (1.6069) Prec@1 52.500 (56.659) Prec@5 82.500 (84.998) Epoch: [85][8950/11272] Time 0.821 (0.793) Data 0.002 (0.002) Loss 1.8894 (1.6069) Prec@1 54.375 (56.661) Prec@5 79.375 (84.999) Epoch: [85][8960/11272] Time 0.840 (0.793) Data 0.002 (0.002) Loss 1.8419 (1.6069) Prec@1 51.250 (56.662) Prec@5 83.750 (84.998) Epoch: [85][8970/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.5558 (1.6069) Prec@1 62.500 (56.662) Prec@5 84.375 (84.997) Epoch: [85][8980/11272] Time 0.783 (0.793) Data 0.002 (0.002) Loss 1.8272 (1.6070) Prec@1 55.625 (56.662) Prec@5 81.875 (84.998) Epoch: [85][8990/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.5647 (1.6070) Prec@1 56.875 (56.660) Prec@5 86.875 (84.997) Epoch: [85][9000/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.4402 (1.6071) Prec@1 60.625 (56.660) Prec@5 90.000 (84.996) Epoch: [85][9010/11272] Time 0.756 (0.793) Data 0.002 (0.002) Loss 1.7356 (1.6070) Prec@1 55.000 (56.662) Prec@5 85.000 (84.996) Epoch: [85][9020/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.7773 (1.6070) Prec@1 50.000 (56.661) Prec@5 86.250 (84.998) Epoch: [85][9030/11272] Time 0.881 (0.793) Data 0.001 (0.002) Loss 1.6481 (1.6070) Prec@1 55.625 (56.659) Prec@5 86.250 (84.997) Epoch: [85][9040/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.7317 (1.6071) Prec@1 54.375 (56.656) Prec@5 84.375 (84.996) Epoch: [85][9050/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 1.4342 (1.6071) Prec@1 64.375 (56.657) Prec@5 86.250 (84.997) Epoch: [85][9060/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.5844 (1.6070) Prec@1 57.500 (56.658) Prec@5 87.500 (84.997) Epoch: [85][9070/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.5152 (1.6070) Prec@1 53.125 (56.657) Prec@5 90.000 (84.998) Epoch: [85][9080/11272] Time 0.701 (0.793) Data 0.002 (0.002) Loss 1.5336 (1.6071) Prec@1 59.375 (56.656) Prec@5 85.625 (84.996) Epoch: [85][9090/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.6158 (1.6071) Prec@1 55.625 (56.655) Prec@5 84.375 (84.997) Epoch: [85][9100/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.5031 (1.6071) Prec@1 57.500 (56.656) Prec@5 85.625 (84.997) Epoch: [85][9110/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.5237 (1.6071) Prec@1 59.375 (56.656) Prec@5 86.250 (84.998) Epoch: [85][9120/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.8036 (1.6071) Prec@1 55.000 (56.652) Prec@5 80.625 (84.998) Epoch: [85][9130/11272] Time 0.749 (0.793) Data 0.002 (0.002) Loss 1.5742 (1.6071) Prec@1 56.250 (56.651) Prec@5 84.375 (84.997) Epoch: [85][9140/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.5492 (1.6071) Prec@1 58.125 (56.652) Prec@5 86.875 (84.998) Epoch: [85][9150/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.8710 (1.6072) Prec@1 50.000 (56.651) Prec@5 83.125 (84.997) Epoch: [85][9160/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.5120 (1.6072) Prec@1 53.750 (56.651) Prec@5 86.250 (84.996) Epoch: [85][9170/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.7964 (1.6072) Prec@1 51.250 (56.652) Prec@5 81.250 (84.997) Epoch: [85][9180/11272] Time 0.885 (0.793) Data 0.001 (0.002) Loss 1.8628 (1.6072) Prec@1 48.125 (56.650) Prec@5 76.875 (84.996) Epoch: [85][9190/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 1.6474 (1.6072) Prec@1 55.625 (56.650) Prec@5 84.375 (84.996) Epoch: [85][9200/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5395 (1.6072) Prec@1 60.625 (56.650) Prec@5 85.000 (84.997) Epoch: [85][9210/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 1.4044 (1.6072) Prec@1 61.250 (56.650) Prec@5 89.375 (84.997) Epoch: [85][9220/11272] Time 0.798 (0.793) Data 0.002 (0.002) Loss 1.7516 (1.6073) Prec@1 51.250 (56.649) Prec@5 81.875 (84.997) Epoch: [85][9230/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.5991 (1.6073) Prec@1 55.625 (56.649) Prec@5 82.500 (84.996) Epoch: [85][9240/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.6627 (1.6073) Prec@1 55.625 (56.649) Prec@5 85.000 (84.996) Epoch: [85][9250/11272] Time 0.877 (0.793) Data 0.001 (0.002) Loss 1.7358 (1.6073) Prec@1 47.500 (56.649) Prec@5 81.875 (84.996) Epoch: [85][9260/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.5925 (1.6074) Prec@1 63.125 (56.649) Prec@5 82.500 (84.994) Epoch: [85][9270/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.6699 (1.6075) Prec@1 58.750 (56.647) Prec@5 81.250 (84.992) Epoch: [85][9280/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.5578 (1.6076) Prec@1 52.500 (56.644) Prec@5 87.500 (84.992) Epoch: [85][9290/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.6792 (1.6077) Prec@1 54.375 (56.641) Prec@5 83.750 (84.991) Epoch: [85][9300/11272] Time 0.824 (0.793) Data 0.004 (0.002) Loss 1.3666 (1.6076) Prec@1 66.875 (56.642) Prec@5 87.500 (84.992) Epoch: [85][9310/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 1.5147 (1.6076) Prec@1 59.375 (56.642) Prec@5 85.000 (84.991) Epoch: [85][9320/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.5592 (1.6076) Prec@1 57.500 (56.642) Prec@5 83.750 (84.991) Epoch: [85][9330/11272] Time 0.878 (0.793) Data 0.001 (0.002) Loss 1.6413 (1.6076) Prec@1 55.625 (56.642) Prec@5 84.375 (84.992) Epoch: [85][9340/11272] Time 0.714 (0.793) Data 0.004 (0.002) Loss 1.7444 (1.6076) Prec@1 51.250 (56.641) Prec@5 81.875 (84.991) Epoch: [85][9350/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.6785 (1.6077) Prec@1 57.500 (56.641) Prec@5 80.625 (84.989) Epoch: [85][9360/11272] Time 0.883 (0.793) Data 0.002 (0.002) Loss 1.3363 (1.6077) Prec@1 63.125 (56.641) Prec@5 89.375 (84.990) Epoch: [85][9370/11272] Time 0.887 (0.793) Data 0.002 (0.002) Loss 1.5424 (1.6077) Prec@1 57.500 (56.640) Prec@5 89.375 (84.990) Epoch: [85][9380/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.5263 (1.6077) Prec@1 58.750 (56.639) Prec@5 88.750 (84.990) Epoch: [85][9390/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.6299 (1.6077) Prec@1 56.250 (56.640) Prec@5 85.625 (84.991) Epoch: [85][9400/11272] Time 0.874 (0.793) Data 0.002 (0.002) Loss 1.7834 (1.6078) Prec@1 52.500 (56.639) Prec@5 81.875 (84.988) Epoch: [85][9410/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.5023 (1.6077) Prec@1 61.875 (56.640) Prec@5 86.250 (84.989) Epoch: [85][9420/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.8313 (1.6077) Prec@1 55.625 (56.640) Prec@5 79.375 (84.990) Epoch: [85][9430/11272] Time 0.709 (0.793) Data 0.001 (0.002) Loss 1.4705 (1.6077) Prec@1 59.375 (56.641) Prec@5 88.125 (84.989) Epoch: [85][9440/11272] Time 0.892 (0.793) Data 0.001 (0.002) Loss 1.7065 (1.6078) Prec@1 55.000 (56.639) Prec@5 82.500 (84.989) Epoch: [85][9450/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.5973 (1.6078) Prec@1 55.000 (56.640) Prec@5 85.000 (84.989) Epoch: [85][9460/11272] Time 0.708 (0.793) Data 0.002 (0.002) Loss 1.5132 (1.6078) Prec@1 60.000 (56.638) Prec@5 83.125 (84.989) Epoch: [85][9470/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.6804 (1.6078) Prec@1 54.375 (56.637) Prec@5 85.625 (84.989) Epoch: [85][9480/11272] Time 0.885 (0.793) Data 0.002 (0.002) Loss 1.6077 (1.6078) Prec@1 56.875 (56.638) Prec@5 86.875 (84.989) Epoch: [85][9490/11272] Time 0.746 (0.793) Data 0.002 (0.002) Loss 1.4545 (1.6078) Prec@1 60.000 (56.639) Prec@5 86.875 (84.988) Epoch: [85][9500/11272] Time 0.702 (0.793) Data 0.002 (0.002) Loss 1.5947 (1.6078) Prec@1 58.750 (56.639) Prec@5 85.000 (84.988) Epoch: [85][9510/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.6336 (1.6079) Prec@1 55.625 (56.638) Prec@5 85.000 (84.986) Epoch: [85][9520/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.7021 (1.6079) Prec@1 55.000 (56.637) Prec@5 83.125 (84.985) Epoch: [85][9530/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.4534 (1.6079) Prec@1 61.250 (56.635) Prec@5 88.750 (84.985) Epoch: [85][9540/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.6418 (1.6079) Prec@1 50.000 (56.634) Prec@5 85.000 (84.985) Epoch: [85][9550/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 1.4642 (1.6080) Prec@1 59.375 (56.634) Prec@5 89.375 (84.985) Epoch: [85][9560/11272] Time 0.830 (0.793) Data 0.002 (0.002) Loss 1.5997 (1.6080) Prec@1 56.875 (56.635) Prec@5 84.375 (84.984) Epoch: [85][9570/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.6497 (1.6081) Prec@1 56.875 (56.633) Prec@5 83.125 (84.982) Epoch: [85][9580/11272] Time 0.799 (0.793) Data 0.002 (0.002) Loss 1.5433 (1.6080) Prec@1 56.250 (56.633) Prec@5 87.500 (84.983) Epoch: [85][9590/11272] Time 0.819 (0.793) Data 0.001 (0.002) Loss 1.6304 (1.6081) Prec@1 55.000 (56.633) Prec@5 85.625 (84.981) Epoch: [85][9600/11272] Time 0.733 (0.793) Data 0.004 (0.002) Loss 1.5736 (1.6081) Prec@1 56.875 (56.632) Prec@5 86.875 (84.981) Epoch: [85][9610/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.6434 (1.6081) Prec@1 53.750 (56.631) Prec@5 85.000 (84.982) Epoch: [85][9620/11272] Time 0.888 (0.793) Data 0.002 (0.002) Loss 1.7140 (1.6082) Prec@1 52.500 (56.628) Prec@5 85.625 (84.981) Epoch: [85][9630/11272] Time 0.919 (0.793) Data 0.002 (0.002) Loss 1.6578 (1.6082) Prec@1 57.500 (56.629) Prec@5 83.750 (84.981) Epoch: [85][9640/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.5664 (1.6082) Prec@1 57.500 (56.629) Prec@5 85.000 (84.981) Epoch: [85][9650/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.4689 (1.6082) Prec@1 60.000 (56.629) Prec@5 90.000 (84.981) Epoch: [85][9660/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.6477 (1.6082) Prec@1 55.625 (56.629) Prec@5 85.625 (84.981) Epoch: [85][9670/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.6838 (1.6083) Prec@1 58.125 (56.628) Prec@5 82.500 (84.979) Epoch: [85][9680/11272] Time 0.709 (0.793) Data 0.002 (0.002) Loss 1.7560 (1.6083) Prec@1 53.125 (56.629) Prec@5 83.125 (84.979) Epoch: [85][9690/11272] Time 0.711 (0.793) Data 0.001 (0.002) Loss 1.6095 (1.6083) Prec@1 58.125 (56.627) Prec@5 85.000 (84.979) Epoch: [85][9700/11272] Time 0.861 (0.793) Data 0.001 (0.002) Loss 1.5713 (1.6083) Prec@1 64.375 (56.627) Prec@5 85.625 (84.978) Epoch: [85][9710/11272] Time 0.888 (0.793) Data 0.001 (0.002) Loss 1.5339 (1.6083) Prec@1 53.750 (56.627) Prec@5 86.875 (84.978) Epoch: [85][9720/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.6403 (1.6083) Prec@1 58.125 (56.628) Prec@5 86.250 (84.978) Epoch: [85][9730/11272] Time 0.916 (0.793) Data 0.002 (0.002) Loss 1.7914 (1.6083) Prec@1 53.750 (56.631) Prec@5 81.250 (84.978) Epoch: [85][9740/11272] Time 0.859 (0.793) Data 0.001 (0.002) Loss 1.4577 (1.6083) Prec@1 63.125 (56.631) Prec@5 88.125 (84.978) Epoch: [85][9750/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.5105 (1.6082) Prec@1 57.500 (56.632) Prec@5 85.625 (84.979) Epoch: [85][9760/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.6981 (1.6083) Prec@1 53.125 (56.630) Prec@5 80.625 (84.979) Epoch: [85][9770/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 1.6803 (1.6083) Prec@1 54.375 (56.629) Prec@5 85.625 (84.980) Epoch: [85][9780/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 1.6048 (1.6083) Prec@1 56.875 (56.629) Prec@5 87.500 (84.979) Epoch: [85][9790/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.5378 (1.6083) Prec@1 57.500 (56.629) Prec@5 85.625 (84.979) Epoch: [85][9800/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.8671 (1.6083) Prec@1 51.250 (56.629) Prec@5 81.250 (84.978) Epoch: [85][9810/11272] Time 0.934 (0.793) Data 0.002 (0.002) Loss 1.6840 (1.6084) Prec@1 53.750 (56.627) Prec@5 85.625 (84.977) Epoch: [85][9820/11272] Time 0.900 (0.793) Data 0.002 (0.002) Loss 1.7143 (1.6084) Prec@1 56.875 (56.627) Prec@5 81.250 (84.976) Epoch: [85][9830/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.6117 (1.6084) Prec@1 55.625 (56.627) Prec@5 86.250 (84.976) Epoch: [85][9840/11272] Time 0.763 (0.793) Data 0.003 (0.002) Loss 1.5196 (1.6084) Prec@1 54.375 (56.627) Prec@5 85.625 (84.977) Epoch: [85][9850/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.7754 (1.6083) Prec@1 52.500 (56.628) Prec@5 80.625 (84.977) Epoch: [85][9860/11272] Time 0.867 (0.793) Data 0.002 (0.002) Loss 1.6459 (1.6083) Prec@1 53.125 (56.627) Prec@5 86.250 (84.977) Epoch: [85][9870/11272] Time 0.715 (0.793) Data 0.002 (0.002) Loss 1.6299 (1.6084) Prec@1 55.625 (56.626) Prec@5 82.500 (84.975) Epoch: [85][9880/11272] Time 0.890 (0.793) Data 0.002 (0.002) Loss 1.6226 (1.6084) Prec@1 54.375 (56.629) Prec@5 85.625 (84.976) Epoch: [85][9890/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.8222 (1.6084) Prec@1 45.000 (56.629) Prec@5 83.750 (84.974) Epoch: [85][9900/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6425 (1.6084) Prec@1 56.875 (56.630) Prec@5 83.750 (84.974) Epoch: [85][9910/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.5231 (1.6085) Prec@1 61.250 (56.630) Prec@5 84.375 (84.972) Epoch: [85][9920/11272] Time 0.814 (0.793) Data 0.002 (0.002) Loss 1.6465 (1.6086) Prec@1 57.500 (56.627) Prec@5 85.625 (84.970) Epoch: [85][9930/11272] Time 0.872 (0.793) Data 0.004 (0.002) Loss 1.6232 (1.6086) Prec@1 59.375 (56.628) Prec@5 83.125 (84.970) Epoch: [85][9940/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 1.8551 (1.6086) Prec@1 54.375 (56.629) Prec@5 85.625 (84.970) Epoch: [85][9950/11272] Time 0.799 (0.793) Data 0.001 (0.002) Loss 1.3874 (1.6086) Prec@1 65.000 (56.627) Prec@5 86.250 (84.970) Epoch: [85][9960/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.5228 (1.6087) Prec@1 59.375 (56.626) Prec@5 85.625 (84.971) Epoch: [85][9970/11272] Time 0.837 (0.793) Data 0.002 (0.002) Loss 1.5824 (1.6086) Prec@1 57.500 (56.626) Prec@5 85.000 (84.972) Epoch: [85][9980/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.8139 (1.6087) Prec@1 51.875 (56.625) Prec@5 83.125 (84.972) Epoch: [85][9990/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.5295 (1.6086) Prec@1 60.000 (56.628) Prec@5 88.125 (84.973) Epoch: [85][10000/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.7013 (1.6086) Prec@1 53.750 (56.628) Prec@5 85.000 (84.974) Epoch: [85][10010/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.6585 (1.6086) Prec@1 51.875 (56.628) Prec@5 83.125 (84.974) Epoch: [85][10020/11272] Time 0.757 (0.793) Data 0.001 (0.002) Loss 1.4973 (1.6086) Prec@1 58.750 (56.629) Prec@5 87.500 (84.974) Epoch: [85][10030/11272] Time 0.866 (0.793) Data 0.001 (0.002) Loss 1.5763 (1.6086) Prec@1 56.875 (56.628) Prec@5 85.000 (84.972) Epoch: [85][10040/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 1.5874 (1.6086) Prec@1 51.250 (56.628) Prec@5 87.500 (84.973) Epoch: [85][10050/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.6650 (1.6086) Prec@1 54.375 (56.628) Prec@5 85.625 (84.972) Epoch: [85][10060/11272] Time 0.740 (0.793) Data 0.004 (0.002) Loss 1.5958 (1.6086) Prec@1 58.125 (56.629) Prec@5 82.500 (84.972) Epoch: [85][10070/11272] Time 0.887 (0.793) Data 0.002 (0.002) Loss 1.8644 (1.6086) Prec@1 49.375 (56.628) Prec@5 81.875 (84.973) Epoch: [85][10080/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.7104 (1.6086) Prec@1 54.375 (56.628) Prec@5 79.375 (84.972) Epoch: [85][10090/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.7555 (1.6087) Prec@1 53.750 (56.627) Prec@5 77.500 (84.971) Epoch: [85][10100/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.4895 (1.6087) Prec@1 58.125 (56.627) Prec@5 88.125 (84.971) Epoch: [85][10110/11272] Time 0.861 (0.793) Data 0.002 (0.002) Loss 1.5146 (1.6088) Prec@1 58.125 (56.626) Prec@5 87.500 (84.971) Epoch: [85][10120/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 1.5938 (1.6088) Prec@1 56.250 (56.626) Prec@5 86.875 (84.971) Epoch: [85][10130/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.6570 (1.6089) Prec@1 56.875 (56.623) Prec@5 83.750 (84.969) Epoch: [85][10140/11272] Time 0.897 (0.793) Data 0.002 (0.002) Loss 1.4813 (1.6090) Prec@1 56.875 (56.622) Prec@5 88.125 (84.968) Epoch: [85][10150/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 1.7708 (1.6090) Prec@1 51.875 (56.620) Prec@5 84.375 (84.967) Epoch: [85][10160/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.9182 (1.6091) Prec@1 48.750 (56.618) Prec@5 80.000 (84.966) Epoch: [85][10170/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.7167 (1.6091) Prec@1 52.500 (56.616) Prec@5 84.375 (84.967) Epoch: [85][10180/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 1.4284 (1.6092) Prec@1 60.000 (56.615) Prec@5 88.125 (84.967) Epoch: [85][10190/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.7051 (1.6091) Prec@1 53.750 (56.616) Prec@5 85.000 (84.967) Epoch: [85][10200/11272] Time 0.710 (0.793) Data 0.002 (0.002) Loss 1.6487 (1.6091) Prec@1 54.375 (56.617) Prec@5 83.750 (84.967) Epoch: [85][10210/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.8155 (1.6092) Prec@1 53.125 (56.616) Prec@5 82.500 (84.966) Epoch: [85][10220/11272] Time 0.874 (0.793) Data 0.002 (0.002) Loss 1.6311 (1.6092) Prec@1 56.875 (56.616) Prec@5 83.125 (84.966) Epoch: [85][10230/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.8502 (1.6092) Prec@1 50.625 (56.614) Prec@5 82.500 (84.964) Epoch: [85][10240/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.4635 (1.6091) Prec@1 56.250 (56.616) Prec@5 90.625 (84.967) Epoch: [85][10250/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.7576 (1.6092) Prec@1 52.500 (56.616) Prec@5 82.500 (84.966) Epoch: [85][10260/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.7545 (1.6092) Prec@1 51.250 (56.616) Prec@5 81.250 (84.965) Epoch: [85][10270/11272] Time 0.692 (0.793) Data 0.003 (0.002) Loss 1.4435 (1.6093) Prec@1 61.875 (56.614) Prec@5 86.875 (84.964) Epoch: [85][10280/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.4919 (1.6093) Prec@1 54.375 (56.613) Prec@5 89.375 (84.964) Epoch: [85][10290/11272] Time 0.861 (0.793) Data 0.002 (0.002) Loss 1.6945 (1.6093) Prec@1 50.000 (56.612) Prec@5 85.000 (84.965) Epoch: [85][10300/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.5904 (1.6092) Prec@1 57.500 (56.612) Prec@5 86.250 (84.966) Epoch: [85][10310/11272] Time 0.782 (0.793) Data 0.002 (0.002) Loss 1.5921 (1.6093) Prec@1 56.875 (56.610) Prec@5 83.750 (84.964) Epoch: [85][10320/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.7334 (1.6093) Prec@1 49.375 (56.609) Prec@5 85.000 (84.964) Epoch: [85][10330/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.6584 (1.6094) Prec@1 56.875 (56.607) Prec@5 85.000 (84.963) Epoch: [85][10340/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.6655 (1.6095) Prec@1 55.625 (56.604) Prec@5 87.500 (84.961) Epoch: [85][10350/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.5232 (1.6094) Prec@1 56.875 (56.605) Prec@5 83.125 (84.961) Epoch: [85][10360/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.7603 (1.6094) Prec@1 51.875 (56.606) Prec@5 83.125 (84.961) Epoch: [85][10370/11272] Time 0.891 (0.793) Data 0.002 (0.002) Loss 1.4875 (1.6095) Prec@1 58.125 (56.605) Prec@5 88.750 (84.961) Epoch: [85][10380/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.9014 (1.6096) Prec@1 51.250 (56.602) Prec@5 80.625 (84.960) Epoch: [85][10390/11272] Time 0.766 (0.793) Data 0.003 (0.002) Loss 1.7805 (1.6096) Prec@1 56.250 (56.601) Prec@5 81.875 (84.959) Epoch: [85][10400/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.5583 (1.6096) Prec@1 62.500 (56.602) Prec@5 83.125 (84.959) Epoch: [85][10410/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.6407 (1.6096) Prec@1 55.625 (56.602) Prec@5 86.250 (84.958) Epoch: [85][10420/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.6358 (1.6097) Prec@1 56.875 (56.601) Prec@5 82.500 (84.957) Epoch: [85][10430/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.6633 (1.6097) Prec@1 51.875 (56.600) Prec@5 85.625 (84.958) Epoch: [85][10440/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.7728 (1.6098) Prec@1 53.750 (56.599) Prec@5 78.125 (84.956) Epoch: [85][10450/11272] Time 0.825 (0.793) Data 0.002 (0.002) Loss 1.4794 (1.6098) Prec@1 57.500 (56.601) Prec@5 90.625 (84.958) Epoch: [85][10460/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6539 (1.6097) Prec@1 55.000 (56.600) Prec@5 83.750 (84.958) Epoch: [85][10470/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.4912 (1.6097) Prec@1 61.250 (56.601) Prec@5 84.375 (84.959) Epoch: [85][10480/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 1.6772 (1.6097) Prec@1 55.625 (56.599) Prec@5 83.750 (84.958) Epoch: [85][10490/11272] Time 0.884 (0.793) Data 0.002 (0.002) Loss 1.4526 (1.6097) Prec@1 56.875 (56.599) Prec@5 87.500 (84.959) Epoch: [85][10500/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.5871 (1.6098) Prec@1 54.375 (56.597) Prec@5 85.625 (84.957) Epoch: [85][10510/11272] Time 0.737 (0.793) Data 0.001 (0.002) Loss 1.7176 (1.6098) Prec@1 55.000 (56.597) Prec@5 84.375 (84.956) Epoch: [85][10520/11272] Time 0.890 (0.793) Data 0.002 (0.002) Loss 1.6176 (1.6098) Prec@1 53.125 (56.598) Prec@5 86.250 (84.956) Epoch: [85][10530/11272] Time 0.718 (0.793) Data 0.003 (0.002) Loss 1.6816 (1.6098) Prec@1 53.125 (56.597) Prec@5 85.000 (84.956) Epoch: [85][10540/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.5470 (1.6098) Prec@1 55.000 (56.596) Prec@5 86.875 (84.956) Epoch: [85][10550/11272] Time 0.851 (0.793) Data 0.002 (0.002) Loss 1.5222 (1.6098) Prec@1 60.000 (56.597) Prec@5 83.125 (84.955) Epoch: [85][10560/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.8701 (1.6099) Prec@1 52.500 (56.597) Prec@5 82.500 (84.955) Epoch: [85][10570/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.5691 (1.6099) Prec@1 56.250 (56.596) Prec@5 86.250 (84.954) Epoch: [85][10580/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.6812 (1.6099) Prec@1 55.000 (56.596) Prec@5 83.125 (84.954) Epoch: [85][10590/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.6078 (1.6099) Prec@1 58.750 (56.596) Prec@5 86.875 (84.954) Epoch: [85][10600/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.6184 (1.6098) Prec@1 56.250 (56.596) Prec@5 81.875 (84.955) Epoch: [85][10610/11272] Time 0.768 (0.793) Data 0.001 (0.002) Loss 1.6573 (1.6099) Prec@1 55.000 (56.594) Prec@5 81.875 (84.954) Epoch: [85][10620/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5445 (1.6099) Prec@1 58.125 (56.592) Prec@5 85.625 (84.955) Epoch: [85][10630/11272] Time 0.909 (0.793) Data 0.002 (0.002) Loss 1.6552 (1.6099) Prec@1 60.000 (56.594) Prec@5 81.250 (84.954) Epoch: [85][10640/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.6173 (1.6099) Prec@1 59.375 (56.592) Prec@5 85.000 (84.953) Epoch: [85][10650/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.6464 (1.6099) Prec@1 56.875 (56.593) Prec@5 80.625 (84.953) Epoch: [85][10660/11272] Time 0.879 (0.793) Data 0.001 (0.002) Loss 1.8800 (1.6100) Prec@1 53.750 (56.593) Prec@5 81.250 (84.951) Epoch: [85][10670/11272] Time 0.866 (0.793) Data 0.002 (0.002) Loss 1.5932 (1.6100) Prec@1 56.250 (56.592) Prec@5 84.375 (84.949) Epoch: [85][10680/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 1.5967 (1.6101) Prec@1 58.750 (56.591) Prec@5 83.125 (84.949) Epoch: [85][10690/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.8903 (1.6101) Prec@1 49.375 (56.590) Prec@5 81.250 (84.950) Epoch: [85][10700/11272] Time 0.811 (0.793) Data 0.001 (0.002) Loss 1.5168 (1.6101) Prec@1 60.000 (56.589) Prec@5 87.500 (84.950) Epoch: [85][10710/11272] Time 0.896 (0.793) Data 0.001 (0.002) Loss 1.4259 (1.6101) Prec@1 61.875 (56.588) Prec@5 88.125 (84.950) Epoch: [85][10720/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.5937 (1.6101) Prec@1 58.750 (56.588) Prec@5 85.625 (84.949) Epoch: [85][10730/11272] Time 0.714 (0.793) Data 0.002 (0.002) Loss 1.7761 (1.6102) Prec@1 51.250 (56.585) Prec@5 81.250 (84.947) Epoch: [85][10740/11272] Time 0.882 (0.793) Data 0.001 (0.002) Loss 1.5916 (1.6102) Prec@1 56.875 (56.585) Prec@5 88.750 (84.948) Epoch: [85][10750/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 1.7091 (1.6103) Prec@1 51.250 (56.583) Prec@5 85.625 (84.948) Epoch: [85][10760/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.6175 (1.6103) Prec@1 53.750 (56.581) Prec@5 83.750 (84.947) Epoch: [85][10770/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.6217 (1.6104) Prec@1 51.250 (56.579) Prec@5 86.250 (84.946) Epoch: [85][10780/11272] Time 0.828 (0.793) Data 0.002 (0.002) Loss 1.4630 (1.6104) Prec@1 60.000 (56.579) Prec@5 84.375 (84.946) Epoch: [85][10790/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 1.5585 (1.6104) Prec@1 59.375 (56.578) Prec@5 88.125 (84.947) Epoch: [85][10800/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.5861 (1.6104) Prec@1 57.500 (56.578) Prec@5 85.000 (84.946) Epoch: [85][10810/11272] Time 0.863 (0.793) Data 0.001 (0.002) Loss 1.4741 (1.6104) Prec@1 59.375 (56.578) Prec@5 87.500 (84.946) Epoch: [85][10820/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.7421 (1.6104) Prec@1 51.875 (56.577) Prec@5 83.125 (84.945) Epoch: [85][10830/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.5826 (1.6104) Prec@1 55.625 (56.577) Prec@5 85.000 (84.945) Epoch: [85][10840/11272] Time 0.804 (0.793) Data 0.002 (0.002) Loss 1.6336 (1.6104) Prec@1 54.375 (56.576) Prec@5 82.500 (84.944) Epoch: [85][10850/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.5477 (1.6104) Prec@1 58.750 (56.576) Prec@5 81.250 (84.945) Epoch: [85][10860/11272] Time 0.922 (0.793) Data 0.001 (0.002) Loss 1.6856 (1.6105) Prec@1 55.000 (56.575) Prec@5 84.375 (84.943) Epoch: [85][10870/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.7668 (1.6105) Prec@1 55.000 (56.574) Prec@5 85.000 (84.944) Epoch: [85][10880/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.5230 (1.6105) Prec@1 56.875 (56.573) Prec@5 86.250 (84.943) Epoch: [85][10890/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.7902 (1.6105) Prec@1 54.375 (56.574) Prec@5 80.000 (84.944) Epoch: [85][10900/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.7681 (1.6106) Prec@1 53.750 (56.574) Prec@5 80.625 (84.944) Epoch: [85][10910/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5768 (1.6106) Prec@1 58.750 (56.575) Prec@5 83.125 (84.943) Epoch: [85][10920/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 1.7237 (1.6106) Prec@1 55.000 (56.575) Prec@5 82.500 (84.943) Epoch: [85][10930/11272] Time 0.842 (0.793) Data 0.002 (0.002) Loss 1.7225 (1.6106) Prec@1 55.000 (56.575) Prec@5 84.375 (84.942) Epoch: [85][10940/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 1.8564 (1.6106) Prec@1 52.500 (56.574) Prec@5 78.750 (84.941) Epoch: [85][10950/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.5558 (1.6106) Prec@1 63.125 (56.575) Prec@5 85.000 (84.942) Epoch: [85][10960/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.4924 (1.6106) Prec@1 58.750 (56.574) Prec@5 85.000 (84.942) Epoch: [85][10970/11272] Time 0.892 (0.793) Data 0.001 (0.002) Loss 1.6790 (1.6107) Prec@1 58.750 (56.572) Prec@5 83.125 (84.940) Epoch: [85][10980/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.4562 (1.6107) Prec@1 61.250 (56.571) Prec@5 89.375 (84.939) Epoch: [85][10990/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.6227 (1.6108) Prec@1 55.625 (56.570) Prec@5 82.500 (84.939) Epoch: [85][11000/11272] Time 0.876 (0.793) Data 0.002 (0.002) Loss 1.7270 (1.6108) Prec@1 53.750 (56.570) Prec@5 82.500 (84.938) Epoch: [85][11010/11272] Time 0.843 (0.793) Data 0.002 (0.002) Loss 1.7073 (1.6108) Prec@1 56.250 (56.569) Prec@5 86.875 (84.938) Epoch: [85][11020/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.6608 (1.6108) Prec@1 51.250 (56.569) Prec@5 82.500 (84.938) Epoch: [85][11030/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.7048 (1.6108) Prec@1 51.250 (56.570) Prec@5 85.625 (84.939) Epoch: [85][11040/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.5856 (1.6108) Prec@1 55.000 (56.570) Prec@5 86.875 (84.939) Epoch: [85][11050/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 1.5645 (1.6108) Prec@1 60.625 (56.569) Prec@5 87.500 (84.938) Epoch: [85][11060/11272] Time 0.739 (0.793) Data 0.001 (0.002) Loss 1.6920 (1.6108) Prec@1 54.375 (56.569) Prec@5 85.000 (84.939) Epoch: [85][11070/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.6632 (1.6108) Prec@1 55.625 (56.569) Prec@5 85.000 (84.938) Epoch: [85][11080/11272] Time 0.896 (0.793) Data 0.002 (0.002) Loss 1.2937 (1.6108) Prec@1 63.125 (56.569) Prec@5 91.875 (84.939) Epoch: [85][11090/11272] Time 0.732 (0.793) Data 0.001 (0.002) Loss 1.6779 (1.6109) Prec@1 51.250 (56.568) Prec@5 86.875 (84.938) Epoch: [85][11100/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.6471 (1.6109) Prec@1 58.750 (56.569) Prec@5 84.375 (84.938) Epoch: [85][11110/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.6657 (1.6109) Prec@1 53.750 (56.569) Prec@5 83.125 (84.937) Epoch: [85][11120/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 1.5820 (1.6110) Prec@1 56.250 (56.567) Prec@5 82.500 (84.935) Epoch: [85][11130/11272] Time 0.747 (0.793) Data 0.003 (0.002) Loss 1.7889 (1.6110) Prec@1 55.625 (56.567) Prec@5 83.125 (84.934) Epoch: [85][11140/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.4933 (1.6110) Prec@1 60.000 (56.567) Prec@5 86.875 (84.934) Epoch: [85][11150/11272] Time 0.875 (0.793) Data 0.001 (0.002) Loss 1.9261 (1.6111) Prec@1 52.500 (56.566) Prec@5 80.000 (84.934) Epoch: [85][11160/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.6532 (1.6112) Prec@1 55.000 (56.564) Prec@5 83.125 (84.931) Epoch: [85][11170/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 1.5393 (1.6112) Prec@1 60.625 (56.563) Prec@5 86.250 (84.930) Epoch: [85][11180/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6408 (1.6113) Prec@1 55.000 (56.562) Prec@5 86.250 (84.930) Epoch: [85][11190/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.9480 (1.6113) Prec@1 45.625 (56.563) Prec@5 81.875 (84.930) Epoch: [85][11200/11272] Time 0.734 (0.793) Data 0.003 (0.002) Loss 1.9876 (1.6113) Prec@1 49.375 (56.563) Prec@5 76.875 (84.929) Epoch: [85][11210/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.6058 (1.6114) Prec@1 56.250 (56.562) Prec@5 87.500 (84.927) Epoch: [85][11220/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.9586 (1.6114) Prec@1 48.125 (56.561) Prec@5 79.375 (84.926) Epoch: [85][11230/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 1.6412 (1.6115) Prec@1 58.125 (56.560) Prec@5 86.250 (84.925) Epoch: [85][11240/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.7975 (1.6115) Prec@1 56.250 (56.560) Prec@5 80.000 (84.924) Epoch: [85][11250/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.6078 (1.6115) Prec@1 56.250 (56.561) Prec@5 86.250 (84.925) Epoch: [85][11260/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 1.6535 (1.6115) Prec@1 56.250 (56.561) Prec@5 78.750 (84.923) Epoch: [85][11270/11272] Time 0.782 (0.793) Data 0.000 (0.002) Loss 1.5200 (1.6115) Prec@1 59.375 (56.560) Prec@5 88.750 (84.923) Test: [0/229] Time 3.717 (3.717) Loss 1.1479 (1.1479) Prec@1 64.375 (64.375) Prec@5 93.750 (93.750) Test: [10/229] Time 0.337 (0.866) Loss 0.8890 (1.5475) Prec@1 70.000 (58.523) Prec@5 98.125 (87.670) Test: [20/229] Time 1.245 (0.760) Loss 1.9698 (1.6461) Prec@1 45.625 (54.911) Prec@5 81.875 (86.667) Test: [30/229] Time 0.410 (0.703) Loss 2.1933 (1.6104) Prec@1 40.000 (56.754) Prec@5 80.625 (86.815) Test: [40/229] Time 1.167 (0.688) Loss 0.4249 (1.6174) Prec@1 92.500 (56.357) Prec@5 94.375 (86.585) Test: [50/229] Time 0.860 (0.674) Loss 2.0894 (1.6661) Prec@1 39.375 (55.343) Prec@5 83.750 (85.588) Test: [60/229] Time 0.690 (0.675) Loss 2.2532 (1.6689) Prec@1 39.375 (55.143) Prec@5 81.875 (85.543) Test: [70/229] Time 1.204 (0.673) Loss 1.2759 (1.6847) Prec@1 73.125 (55.150) Prec@5 84.375 (85.282) Test: [80/229] Time 0.453 (0.666) Loss 2.1675 (1.6994) Prec@1 38.125 (54.568) Prec@5 80.625 (85.208) Test: [90/229] Time 1.299 (0.668) Loss 1.1992 (1.7040) Prec@1 74.375 (54.595) Prec@5 87.500 (85.199) Test: [100/229] Time 0.373 (0.662) Loss 2.1096 (1.6966) Prec@1 48.125 (54.821) Prec@5 82.500 (85.353) Test: [110/229] Time 1.466 (0.663) Loss 1.4784 (1.6784) Prec@1 60.000 (55.180) Prec@5 86.875 (85.512) Test: [120/229] Time 0.387 (0.656) Loss 2.6975 (1.6976) Prec@1 37.500 (54.742) Prec@5 76.250 (85.269) Test: [130/229] Time 1.204 (0.656) Loss 1.1235 (1.6773) Prec@1 66.875 (55.305) Prec@5 91.250 (85.487) Test: [140/229] Time 0.344 (0.652) Loss 1.9302 (1.6940) Prec@1 50.000 (54.929) Prec@5 81.875 (85.310) Test: [150/229] Time 1.130 (0.652) Loss 1.1146 (1.7088) Prec@1 74.375 (54.507) Prec@5 88.750 (85.128) Test: [160/229] Time 0.347 (0.650) Loss 1.7457 (1.7123) Prec@1 56.250 (54.332) Prec@5 83.750 (85.085) Test: [170/229] Time 0.767 (0.649) Loss 1.8692 (1.7230) Prec@1 46.875 (53.995) Prec@5 84.375 (84.931) Test: [180/229] Time 0.364 (0.648) Loss 2.3279 (1.7295) Prec@1 36.250 (53.947) Prec@5 75.000 (84.800) Test: [190/229] Time 0.502 (0.646) Loss 1.3833 (1.7185) Prec@1 64.375 (54.280) Prec@5 92.500 (84.928) Test: [200/229] Time 0.668 (0.646) Loss 1.8369 (1.7105) Prec@1 49.375 (54.341) Prec@5 82.500 (85.109) Test: [210/229] Time 0.562 (0.644) Loss 1.1521 (1.6981) Prec@1 67.500 (54.665) Prec@5 93.750 (85.287) Test: [220/229] Time 0.438 (0.645) Loss 1.6518 (1.6873) Prec@1 53.125 (55.057) Prec@5 87.500 (85.368) * Prec@1 55.356 Prec@5 85.423 Epoch: [86][0/11272] Time 5.001 (5.001) Data 3.977 (3.977) Loss 1.7251 (1.7251) Prec@1 53.750 (53.750) Prec@5 83.750 (83.750) Epoch: [86][10/11272] Time 0.764 (1.161) Data 0.001 (0.363) Loss 1.5406 (1.5947) Prec@1 61.875 (56.932) Prec@5 86.875 (85.227) Epoch: [86][20/11272] Time 0.723 (0.983) Data 0.002 (0.191) Loss 1.6794 (1.5815) Prec@1 53.125 (57.381) Prec@5 83.125 (85.208) Epoch: [86][30/11272] Time 0.826 (0.931) Data 0.001 (0.130) Loss 1.5752 (1.5748) Prec@1 58.750 (57.601) Prec@5 85.625 (85.202) Epoch: [86][40/11272] Time 0.864 (0.894) Data 0.003 (0.099) Loss 1.7730 (1.5995) Prec@1 56.875 (57.180) Prec@5 80.000 (84.817) Epoch: [86][50/11272] Time 0.717 (0.875) Data 0.001 (0.080) Loss 1.5287 (1.5795) Prec@1 58.125 (57.745) Prec@5 86.250 (85.110) Epoch: [86][60/11272] Time 0.722 (0.863) Data 0.002 (0.067) Loss 1.4469 (1.5723) Prec@1 55.625 (57.695) Prec@5 85.625 (85.143) Epoch: [86][70/11272] Time 0.857 (0.853) Data 0.001 (0.058) Loss 1.7748 (1.5882) Prec@1 53.125 (57.298) Prec@5 83.750 (84.930) Epoch: [86][80/11272] Time 0.853 (0.845) Data 0.002 (0.051) Loss 1.5477 (1.5888) Prec@1 63.750 (57.276) Prec@5 86.250 (84.985) Epoch: [86][90/11272] Time 0.722 (0.837) Data 0.001 (0.045) Loss 1.5782 (1.5814) Prec@1 59.375 (57.514) Prec@5 85.625 (85.137) Epoch: [86][100/11272] Time 0.739 (0.832) Data 0.001 (0.041) Loss 1.7674 (1.5765) Prec@1 50.625 (57.506) Prec@5 85.625 (85.272) Epoch: [86][110/11272] Time 0.850 (0.828) Data 0.001 (0.037) Loss 1.5799 (1.5834) Prec@1 54.375 (57.331) Prec@5 84.375 (85.169) Epoch: [86][120/11272] Time 0.823 (0.824) Data 0.001 (0.034) Loss 1.7077 (1.5800) Prec@1 53.750 (57.392) Prec@5 84.375 (85.310) Epoch: [86][130/11272] Time 0.724 (0.822) Data 0.001 (0.032) Loss 1.3513 (1.5703) Prec@1 60.625 (57.667) Prec@5 88.750 (85.434) Epoch: [86][140/11272] Time 0.791 (0.820) Data 0.002 (0.030) Loss 1.5133 (1.5726) Prec@1 60.625 (57.646) Prec@5 82.500 (85.395) Epoch: [86][150/11272] Time 0.837 (0.818) Data 0.001 (0.028) Loss 1.5972 (1.5732) Prec@1 55.625 (57.632) Prec@5 84.375 (85.381) Epoch: [86][160/11272] Time 0.710 (0.816) Data 0.001 (0.026) Loss 1.6035 (1.5736) Prec@1 54.375 (57.682) Prec@5 81.875 (85.384) Epoch: [86][170/11272] Time 0.722 (0.814) Data 0.001 (0.025) Loss 1.6737 (1.5752) Prec@1 50.625 (57.580) Prec@5 85.000 (85.329) Epoch: [86][180/11272] Time 0.854 (0.813) Data 0.002 (0.023) Loss 1.5694 (1.5729) Prec@1 58.125 (57.642) Prec@5 86.250 (85.397) Epoch: [86][190/11272] Time 0.857 (0.812) Data 0.002 (0.022) Loss 1.6597 (1.5725) Prec@1 54.375 (57.497) Prec@5 85.000 (85.468) Epoch: [86][200/11272] Time 0.736 (0.810) Data 0.002 (0.021) Loss 1.2796 (1.5699) Prec@1 66.250 (57.562) Prec@5 89.375 (85.522) Epoch: [86][210/11272] Time 0.719 (0.809) Data 0.001 (0.020) Loss 1.6651 (1.5734) Prec@1 56.250 (57.491) Prec@5 80.625 (85.450) Epoch: [86][220/11272] Time 0.925 (0.809) Data 0.002 (0.020) Loss 1.6291 (1.5734) Prec@1 56.875 (57.548) Prec@5 85.000 (85.464) Epoch: [86][230/11272] Time 0.828 (0.808) Data 0.001 (0.019) Loss 1.6695 (1.5734) Prec@1 58.750 (57.549) Prec@5 85.000 (85.452) Epoch: [86][240/11272] Time 0.726 (0.807) Data 0.002 (0.018) Loss 1.4687 (1.5745) Prec@1 61.875 (57.562) Prec@5 86.875 (85.412) Epoch: [86][250/11272] Time 0.729 (0.807) Data 0.001 (0.017) Loss 1.5276 (1.5743) Prec@1 57.500 (57.570) Prec@5 84.375 (85.374) Epoch: [86][260/11272] Time 0.873 (0.807) Data 0.001 (0.017) Loss 1.4544 (1.5737) Prec@1 61.875 (57.627) Prec@5 86.875 (85.362) Epoch: [86][270/11272] Time 0.727 (0.806) Data 0.003 (0.016) Loss 1.3962 (1.5741) Prec@1 62.500 (57.627) Prec@5 89.375 (85.337) Epoch: [86][280/11272] Time 0.782 (0.806) Data 0.002 (0.016) Loss 1.3904 (1.5751) Prec@1 62.500 (57.593) Prec@5 86.875 (85.265) Epoch: [86][290/11272] Time 0.856 (0.806) Data 0.002 (0.015) Loss 1.4907 (1.5746) Prec@1 60.625 (57.607) Prec@5 86.250 (85.275) Epoch: [86][300/11272] Time 0.897 (0.806) Data 0.002 (0.015) Loss 1.6495 (1.5772) Prec@1 52.500 (57.542) Prec@5 83.125 (85.230) Epoch: [86][310/11272] Time 0.714 (0.805) Data 0.001 (0.014) Loss 1.6222 (1.5747) Prec@1 55.625 (57.605) Prec@5 87.500 (85.291) Epoch: [86][320/11272] Time 0.753 (0.805) Data 0.001 (0.014) Loss 1.5409 (1.5726) Prec@1 58.125 (57.642) Prec@5 86.250 (85.349) Epoch: [86][330/11272] Time 0.876 (0.806) Data 0.001 (0.014) Loss 1.6323 (1.5746) Prec@1 56.250 (57.591) Prec@5 85.625 (85.325) Epoch: [86][340/11272] Time 0.901 (0.805) Data 0.001 (0.013) Loss 1.4030 (1.5725) Prec@1 60.625 (57.608) Prec@5 91.250 (85.354) Epoch: [86][350/11272] Time 0.721 (0.805) Data 0.002 (0.013) Loss 1.7861 (1.5743) Prec@1 55.000 (57.628) Prec@5 79.375 (85.324) Epoch: [86][360/11272] Time 0.737 (0.805) Data 0.001 (0.013) Loss 1.5931 (1.5751) Prec@1 57.500 (57.630) Prec@5 86.250 (85.306) Epoch: [86][370/11272] Time 0.867 (0.805) Data 0.002 (0.012) Loss 1.5342 (1.5745) Prec@1 55.625 (57.625) Prec@5 85.000 (85.318) Epoch: [86][380/11272] Time 0.853 (0.805) Data 0.002 (0.012) Loss 1.9314 (1.5756) Prec@1 53.125 (57.598) Prec@5 77.500 (85.305) Epoch: [86][390/11272] Time 0.735 (0.805) Data 0.001 (0.012) Loss 1.6590 (1.5744) Prec@1 53.750 (57.620) Prec@5 85.000 (85.320) Epoch: [86][400/11272] Time 0.832 (0.804) Data 0.002 (0.011) Loss 1.5522 (1.5743) Prec@1 61.250 (57.642) Prec@5 84.375 (85.299) Epoch: [86][410/11272] Time 0.823 (0.804) Data 0.001 (0.011) Loss 1.5605 (1.5741) Prec@1 53.125 (57.625) Prec@5 88.125 (85.307) Epoch: [86][420/11272] Time 0.721 (0.804) Data 0.002 (0.011) Loss 1.7444 (1.5748) Prec@1 50.625 (57.561) Prec@5 86.875 (85.315) Epoch: [86][430/11272] Time 0.730 (0.804) Data 0.002 (0.011) Loss 1.5527 (1.5744) Prec@1 53.125 (57.565) Prec@5 87.500 (85.328) Epoch: [86][440/11272] Time 0.842 (0.804) Data 0.002 (0.011) Loss 1.6737 (1.5748) Prec@1 54.375 (57.557) Prec@5 83.750 (85.329) Epoch: [86][450/11272] Time 0.823 (0.803) Data 0.002 (0.010) Loss 1.6621 (1.5740) Prec@1 54.375 (57.553) Prec@5 84.375 (85.349) Epoch: [86][460/11272] Time 0.725 (0.803) Data 0.003 (0.010) Loss 1.6371 (1.5742) Prec@1 61.250 (57.545) Prec@5 82.500 (85.334) Epoch: [86][470/11272] Time 0.740 (0.803) Data 0.002 (0.010) Loss 1.6655 (1.5750) Prec@1 60.000 (57.541) Prec@5 86.875 (85.349) Epoch: [86][480/11272] Time 0.833 (0.803) Data 0.001 (0.010) Loss 1.5108 (1.5752) Prec@1 58.125 (57.506) Prec@5 88.750 (85.366) Epoch: [86][490/11272] Time 0.853 (0.803) Data 0.002 (0.010) Loss 1.5201 (1.5763) Prec@1 59.375 (57.492) Prec@5 82.500 (85.354) Epoch: [86][500/11272] Time 0.738 (0.802) Data 0.002 (0.010) Loss 1.5217 (1.5753) Prec@1 63.125 (57.514) Prec@5 85.000 (85.368) Epoch: [86][510/11272] Time 0.717 (0.802) Data 0.001 (0.009) Loss 1.7280 (1.5759) Prec@1 57.500 (57.522) Prec@5 85.625 (85.346) Epoch: [86][520/11272] Time 0.878 (0.802) Data 0.002 (0.009) Loss 1.3977 (1.5761) Prec@1 58.750 (57.518) Prec@5 88.750 (85.343) Epoch: [86][530/11272] Time 0.833 (0.802) Data 0.001 (0.009) Loss 1.9033 (1.5763) Prec@1 53.750 (57.514) Prec@5 80.000 (85.337) Epoch: [86][540/11272] Time 0.734 (0.802) Data 0.002 (0.009) Loss 1.4819 (1.5776) Prec@1 56.250 (57.472) Prec@5 90.625 (85.326) Epoch: [86][550/11272] Time 0.864 (0.802) Data 0.001 (0.009) Loss 1.3903 (1.5785) Prec@1 58.125 (57.448) Prec@5 88.750 (85.296) Epoch: [86][560/11272] Time 0.852 (0.802) Data 0.002 (0.009) Loss 1.5496 (1.5792) Prec@1 56.250 (57.432) Prec@5 85.625 (85.301) Epoch: [86][570/11272] Time 0.726 (0.802) Data 0.001 (0.009) Loss 1.5894 (1.5786) Prec@1 60.000 (57.465) Prec@5 83.750 (85.309) Epoch: [86][580/11272] Time 0.722 (0.802) Data 0.002 (0.008) Loss 1.4124 (1.5791) Prec@1 57.500 (57.443) Prec@5 90.000 (85.304) Epoch: [86][590/11272] Time 0.851 (0.802) Data 0.001 (0.008) Loss 1.3550 (1.5786) Prec@1 58.125 (57.458) Prec@5 89.375 (85.323) Epoch: [86][600/11272] Time 0.888 (0.802) Data 0.002 (0.008) Loss 1.5923 (1.5785) Prec@1 59.375 (57.449) Prec@5 84.375 (85.320) Epoch: [86][610/11272] Time 0.715 (0.801) Data 0.002 (0.008) Loss 1.4190 (1.5783) Prec@1 64.375 (57.479) Prec@5 87.500 (85.311) Epoch: [86][620/11272] Time 0.717 (0.801) Data 0.002 (0.008) Loss 1.3534 (1.5787) Prec@1 65.000 (57.490) Prec@5 89.375 (85.304) Epoch: [86][630/11272] Time 0.808 (0.801) Data 0.001 (0.008) Loss 1.6398 (1.5788) Prec@1 53.125 (57.484) Prec@5 87.500 (85.316) Epoch: [86][640/11272] Time 0.839 (0.801) Data 0.001 (0.008) Loss 1.5491 (1.5787) Prec@1 57.500 (57.510) Prec@5 86.250 (85.332) Epoch: [86][650/11272] Time 0.715 (0.800) Data 0.001 (0.008) Loss 1.5798 (1.5779) Prec@1 59.375 (57.525) Prec@5 83.125 (85.339) Epoch: [86][660/11272] Time 0.719 (0.800) Data 0.002 (0.008) Loss 1.6648 (1.5780) Prec@1 53.750 (57.529) Prec@5 86.250 (85.342) Epoch: [86][670/11272] Time 0.820 (0.800) Data 0.001 (0.007) Loss 1.4999 (1.5778) Prec@1 60.625 (57.534) Prec@5 85.000 (85.335) Epoch: [86][680/11272] Time 0.731 (0.800) Data 0.001 (0.007) Loss 1.5313 (1.5782) Prec@1 55.625 (57.514) Prec@5 86.875 (85.327) Epoch: [86][690/11272] Time 0.736 (0.800) Data 0.002 (0.007) Loss 1.4362 (1.5787) Prec@1 61.250 (57.496) Prec@5 88.125 (85.330) Epoch: [86][700/11272] Time 0.882 (0.800) Data 0.001 (0.007) Loss 1.5544 (1.5790) Prec@1 54.375 (57.478) Prec@5 84.375 (85.330) Epoch: [86][710/11272] Time 0.887 (0.800) Data 0.001 (0.007) Loss 1.3782 (1.5784) Prec@1 61.875 (57.493) Prec@5 86.875 (85.341) Epoch: [86][720/11272] Time 0.726 (0.799) Data 0.001 (0.007) Loss 1.5959 (1.5785) Prec@1 56.250 (57.497) Prec@5 85.625 (85.344) Epoch: [86][730/11272] Time 0.744 (0.799) Data 0.001 (0.007) Loss 1.6492 (1.5785) Prec@1 58.750 (57.494) Prec@5 81.250 (85.328) Epoch: [86][740/11272] Time 0.865 (0.799) Data 0.002 (0.007) Loss 1.2749 (1.5776) Prec@1 68.125 (57.524) Prec@5 90.000 (85.346) Epoch: [86][750/11272] Time 0.841 (0.799) Data 0.002 (0.007) Loss 1.6853 (1.5785) Prec@1 53.125 (57.484) Prec@5 82.500 (85.329) Epoch: [86][760/11272] Time 0.726 (0.799) Data 0.002 (0.007) Loss 1.5980 (1.5788) Prec@1 57.500 (57.472) Prec@5 83.750 (85.326) Epoch: [86][770/11272] Time 0.713 (0.798) Data 0.001 (0.007) Loss 1.6020 (1.5793) Prec@1 58.750 (57.471) Prec@5 85.000 (85.315) Epoch: [86][780/11272] Time 0.845 (0.799) Data 0.002 (0.007) Loss 1.7946 (1.5795) Prec@1 57.500 (57.465) Prec@5 81.875 (85.316) Epoch: [86][790/11272] Time 0.886 (0.799) Data 0.002 (0.007) Loss 1.5685 (1.5801) Prec@1 56.875 (57.438) Prec@5 86.250 (85.315) Epoch: [86][800/11272] Time 0.773 (0.799) Data 0.002 (0.007) Loss 1.5724 (1.5805) Prec@1 55.625 (57.420) Prec@5 85.625 (85.310) Epoch: [86][810/11272] Time 0.853 (0.799) Data 0.002 (0.006) Loss 1.4620 (1.5799) Prec@1 60.000 (57.421) Prec@5 85.000 (85.305) Epoch: [86][820/11272] Time 0.871 (0.799) Data 0.004 (0.006) Loss 1.7657 (1.5806) Prec@1 47.500 (57.402) Prec@5 86.250 (85.298) Epoch: [86][830/11272] Time 0.721 (0.798) Data 0.001 (0.006) Loss 1.3795 (1.5803) Prec@1 64.375 (57.420) Prec@5 89.375 (85.305) Epoch: [86][840/11272] Time 0.721 (0.798) Data 0.002 (0.006) Loss 1.8822 (1.5808) Prec@1 50.000 (57.411) Prec@5 79.375 (85.291) Epoch: [86][850/11272] Time 0.865 (0.798) Data 0.001 (0.006) Loss 1.5126 (1.5802) Prec@1 57.500 (57.431) Prec@5 84.375 (85.290) Epoch: [86][860/11272] Time 0.870 (0.798) Data 0.003 (0.006) Loss 1.6026 (1.5800) Prec@1 57.500 (57.432) Prec@5 83.125 (85.282) Epoch: [86][870/11272] Time 0.760 (0.798) Data 0.002 (0.006) Loss 1.7254 (1.5811) Prec@1 58.125 (57.423) Prec@5 83.125 (85.273) Epoch: [86][880/11272] Time 0.724 (0.798) Data 0.002 (0.006) Loss 1.9896 (1.5814) Prec@1 51.250 (57.433) Prec@5 78.125 (85.264) Epoch: [86][890/11272] Time 0.880 (0.798) Data 0.001 (0.006) Loss 1.6081 (1.5812) Prec@1 60.000 (57.443) Prec@5 87.500 (85.270) Epoch: [86][900/11272] Time 0.853 (0.798) Data 0.001 (0.006) Loss 1.4958 (1.5815) Prec@1 63.125 (57.426) Prec@5 84.375 (85.266) Epoch: [86][910/11272] Time 0.729 (0.798) Data 0.001 (0.006) Loss 1.4601 (1.5809) Prec@1 64.375 (57.443) Prec@5 86.250 (85.284) Epoch: [86][920/11272] Time 0.711 (0.798) Data 0.002 (0.006) Loss 1.4403 (1.5809) Prec@1 60.625 (57.444) Prec@5 86.250 (85.278) Epoch: [86][930/11272] Time 0.857 (0.798) Data 0.001 (0.006) Loss 1.5649 (1.5802) Prec@1 59.375 (57.451) Prec@5 87.500 (85.288) Epoch: [86][940/11272] Time 0.776 (0.797) Data 0.003 (0.006) Loss 1.7095 (1.5812) Prec@1 53.750 (57.420) Prec@5 85.000 (85.272) Epoch: [86][950/11272] Time 0.738 (0.797) Data 0.001 (0.006) Loss 1.7374 (1.5810) Prec@1 53.750 (57.422) Prec@5 84.375 (85.277) Epoch: [86][960/11272] Time 0.876 (0.797) Data 0.002 (0.006) Loss 1.2731 (1.5808) Prec@1 61.875 (57.407) Prec@5 90.000 (85.273) Epoch: [86][970/11272] Time 0.841 (0.797) Data 0.002 (0.006) Loss 1.4715 (1.5812) Prec@1 58.750 (57.384) Prec@5 91.875 (85.283) Epoch: [86][980/11272] Time 0.722 (0.797) Data 0.002 (0.006) Loss 1.3785 (1.5812) Prec@1 60.000 (57.370) Prec@5 91.875 (85.279) Epoch: [86][990/11272] Time 0.737 (0.797) Data 0.001 (0.006) Loss 1.5718 (1.5814) Prec@1 56.250 (57.363) Prec@5 86.250 (85.279) Epoch: [86][1000/11272] Time 0.849 (0.797) Data 0.002 (0.006) Loss 1.8609 (1.5818) Prec@1 49.375 (57.354) Prec@5 79.375 (85.269) Epoch: [86][1010/11272] Time 0.840 (0.797) Data 0.002 (0.005) Loss 1.6477 (1.5818) Prec@1 55.625 (57.356) Prec@5 85.625 (85.276) Epoch: [86][1020/11272] Time 0.719 (0.797) Data 0.002 (0.005) Loss 1.7171 (1.5822) Prec@1 53.750 (57.360) Prec@5 81.875 (85.262) Epoch: [86][1030/11272] Time 0.706 (0.797) Data 0.001 (0.005) Loss 1.4834 (1.5828) Prec@1 56.250 (57.343) Prec@5 88.750 (85.252) Epoch: [86][1040/11272] Time 0.858 (0.797) Data 0.002 (0.005) Loss 1.4563 (1.5828) Prec@1 65.000 (57.336) Prec@5 86.250 (85.258) Epoch: [86][1050/11272] Time 0.822 (0.797) Data 0.001 (0.005) Loss 1.5844 (1.5831) Prec@1 56.250 (57.323) Prec@5 82.500 (85.257) Epoch: [86][1060/11272] Time 0.711 (0.797) Data 0.001 (0.005) Loss 1.4164 (1.5834) Prec@1 60.625 (57.313) Prec@5 86.875 (85.257) Epoch: [86][1070/11272] Time 0.829 (0.797) Data 0.002 (0.005) Loss 1.5652 (1.5834) Prec@1 58.750 (57.309) Prec@5 87.500 (85.259) Epoch: [86][1080/11272] Time 0.842 (0.797) Data 0.001 (0.005) Loss 1.8154 (1.5843) Prec@1 50.000 (57.294) Prec@5 82.500 (85.246) Epoch: [86][1090/11272] Time 0.714 (0.797) Data 0.001 (0.005) Loss 1.7877 (1.5842) Prec@1 51.875 (57.304) Prec@5 81.250 (85.251) Epoch: [86][1100/11272] Time 0.735 (0.797) Data 0.005 (0.005) Loss 1.5835 (1.5836) Prec@1 58.125 (57.326) Prec@5 85.000 (85.261) Epoch: [86][1110/11272] Time 0.816 (0.796) Data 0.001 (0.005) Loss 1.4957 (1.5828) Prec@1 61.250 (57.353) Prec@5 88.125 (85.277) Epoch: [86][1120/11272] Time 0.851 (0.796) Data 0.002 (0.005) Loss 1.5292 (1.5827) Prec@1 60.625 (57.360) Prec@5 85.625 (85.277) Epoch: [86][1130/11272] Time 0.755 (0.796) Data 0.002 (0.005) Loss 1.2007 (1.5821) Prec@1 66.250 (57.359) Prec@5 89.375 (85.281) Epoch: [86][1140/11272] Time 0.711 (0.796) Data 0.002 (0.005) Loss 1.6893 (1.5822) Prec@1 53.750 (57.346) Prec@5 82.500 (85.283) Epoch: [86][1150/11272] Time 0.814 (0.796) Data 0.001 (0.005) Loss 1.7389 (1.5817) Prec@1 54.375 (57.359) Prec@5 83.750 (85.289) Epoch: [86][1160/11272] Time 0.794 (0.796) Data 0.001 (0.005) Loss 1.6463 (1.5814) Prec@1 57.500 (57.375) Prec@5 83.750 (85.293) Epoch: [86][1170/11272] Time 0.751 (0.796) Data 0.002 (0.005) Loss 1.6996 (1.5819) Prec@1 51.875 (57.364) Prec@5 83.750 (85.289) Epoch: [86][1180/11272] Time 0.706 (0.796) Data 0.002 (0.005) Loss 1.3621 (1.5815) Prec@1 59.375 (57.366) Prec@5 90.625 (85.303) Epoch: [86][1190/11272] Time 0.835 (0.796) Data 0.001 (0.005) Loss 1.7337 (1.5817) Prec@1 55.000 (57.353) Prec@5 81.875 (85.296) Epoch: [86][1200/11272] Time 0.730 (0.796) Data 0.003 (0.005) Loss 1.8326 (1.5824) Prec@1 51.250 (57.329) Prec@5 81.875 (85.290) Epoch: [86][1210/11272] Time 0.722 (0.796) Data 0.002 (0.005) Loss 1.6846 (1.5826) Prec@1 57.500 (57.336) Prec@5 86.250 (85.287) Epoch: [86][1220/11272] Time 0.844 (0.796) Data 0.002 (0.005) Loss 1.5930 (1.5826) Prec@1 60.625 (57.338) Prec@5 85.625 (85.288) Epoch: [86][1230/11272] Time 0.829 (0.796) Data 0.001 (0.005) Loss 1.7938 (1.5828) Prec@1 46.875 (57.320) Prec@5 91.250 (85.298) Epoch: [86][1240/11272] Time 0.715 (0.796) Data 0.001 (0.005) Loss 1.2818 (1.5826) Prec@1 65.625 (57.323) Prec@5 90.000 (85.303) Epoch: [86][1250/11272] Time 0.718 (0.796) Data 0.001 (0.005) Loss 1.5146 (1.5825) Prec@1 58.125 (57.324) Prec@5 85.000 (85.303) Epoch: [86][1260/11272] Time 0.905 (0.796) Data 0.002 (0.005) Loss 1.5090 (1.5823) Prec@1 61.875 (57.324) Prec@5 88.125 (85.310) Epoch: [86][1270/11272] Time 0.820 (0.796) Data 0.001 (0.005) Loss 1.7128 (1.5829) Prec@1 57.500 (57.315) Prec@5 80.000 (85.292) Epoch: [86][1280/11272] Time 0.713 (0.796) Data 0.002 (0.005) Loss 1.4450 (1.5831) Prec@1 55.000 (57.295) Prec@5 86.875 (85.288) Epoch: [86][1290/11272] Time 0.797 (0.796) Data 0.002 (0.005) Loss 1.5767 (1.5834) Prec@1 56.875 (57.286) Prec@5 86.250 (85.283) Epoch: [86][1300/11272] Time 0.824 (0.796) Data 0.002 (0.005) Loss 1.5387 (1.5833) Prec@1 56.875 (57.297) Prec@5 85.625 (85.282) Epoch: [86][1310/11272] Time 0.887 (0.796) Data 0.002 (0.005) Loss 1.5119 (1.5834) Prec@1 59.375 (57.290) Prec@5 85.625 (85.280) Epoch: [86][1320/11272] Time 0.739 (0.796) Data 0.002 (0.005) Loss 1.7453 (1.5833) Prec@1 58.125 (57.296) Prec@5 81.250 (85.285) Epoch: [86][1330/11272] Time 0.843 (0.796) Data 0.001 (0.005) Loss 1.5952 (1.5836) Prec@1 56.875 (57.292) Prec@5 83.125 (85.275) Epoch: [86][1340/11272] Time 0.935 (0.796) Data 0.002 (0.005) Loss 1.6571 (1.5838) Prec@1 53.750 (57.286) Prec@5 84.375 (85.266) Epoch: [86][1350/11272] Time 0.735 (0.796) Data 0.001 (0.005) Loss 1.5692 (1.5840) Prec@1 57.500 (57.280) Prec@5 84.375 (85.250) Epoch: [86][1360/11272] Time 0.740 (0.796) Data 0.001 (0.004) Loss 1.5381 (1.5840) Prec@1 56.875 (57.285) Prec@5 87.500 (85.249) Epoch: [86][1370/11272] Time 0.843 (0.796) Data 0.001 (0.004) Loss 1.6766 (1.5839) Prec@1 54.375 (57.286) Prec@5 83.750 (85.253) Epoch: [86][1380/11272] Time 0.861 (0.796) Data 0.002 (0.004) Loss 1.8864 (1.5838) Prec@1 53.125 (57.286) Prec@5 83.750 (85.263) Epoch: [86][1390/11272] Time 0.725 (0.796) Data 0.001 (0.004) Loss 1.6790 (1.5842) Prec@1 52.500 (57.273) Prec@5 86.875 (85.262) Epoch: [86][1400/11272] Time 0.737 (0.796) Data 0.001 (0.004) Loss 1.7065 (1.5840) Prec@1 56.250 (57.268) Prec@5 82.500 (85.265) Epoch: [86][1410/11272] Time 0.848 (0.796) Data 0.001 (0.004) Loss 1.6421 (1.5838) Prec@1 52.500 (57.267) Prec@5 83.125 (85.264) Epoch: [86][1420/11272] Time 0.872 (0.796) Data 0.002 (0.004) Loss 1.5433 (1.5840) Prec@1 55.625 (57.271) Prec@5 86.875 (85.258) Epoch: [86][1430/11272] Time 0.726 (0.796) Data 0.002 (0.004) Loss 1.4969 (1.5841) Prec@1 62.500 (57.267) Prec@5 85.000 (85.255) Epoch: [86][1440/11272] Time 0.758 (0.796) Data 0.002 (0.004) Loss 1.6670 (1.5845) Prec@1 53.750 (57.258) Prec@5 83.750 (85.249) Epoch: [86][1450/11272] Time 0.807 (0.796) Data 0.001 (0.004) Loss 1.4387 (1.5841) Prec@1 57.500 (57.264) Prec@5 88.125 (85.258) Epoch: [86][1460/11272] Time 0.852 (0.796) Data 0.002 (0.004) Loss 1.7945 (1.5845) Prec@1 46.875 (57.250) Prec@5 81.250 (85.247) Epoch: [86][1470/11272] Time 0.719 (0.796) Data 0.002 (0.004) Loss 1.5206 (1.5838) Prec@1 58.125 (57.262) Prec@5 91.875 (85.267) Epoch: [86][1480/11272] Time 0.881 (0.796) Data 0.001 (0.004) Loss 1.6140 (1.5837) Prec@1 60.000 (57.263) Prec@5 85.000 (85.265) Epoch: [86][1490/11272] Time 0.861 (0.796) Data 0.002 (0.004) Loss 1.6115 (1.5837) Prec@1 57.500 (57.259) Prec@5 84.375 (85.263) Epoch: [86][1500/11272] Time 0.723 (0.796) Data 0.002 (0.004) Loss 1.6386 (1.5839) Prec@1 58.125 (57.252) Prec@5 83.125 (85.259) Epoch: [86][1510/11272] Time 0.719 (0.796) Data 0.001 (0.004) Loss 1.6782 (1.5845) Prec@1 56.875 (57.240) Prec@5 82.500 (85.244) Epoch: [86][1520/11272] Time 0.844 (0.796) Data 0.002 (0.004) Loss 1.6185 (1.5846) Prec@1 60.625 (57.249) Prec@5 82.500 (85.245) Epoch: [86][1530/11272] Time 0.819 (0.796) Data 0.001 (0.004) Loss 1.7425 (1.5849) Prec@1 51.250 (57.244) Prec@5 81.875 (85.243) Epoch: [86][1540/11272] Time 0.716 (0.796) Data 0.002 (0.004) Loss 1.5149 (1.5847) Prec@1 59.375 (57.246) Prec@5 88.125 (85.245) Epoch: [86][1550/11272] Time 0.754 (0.796) Data 0.001 (0.004) Loss 1.6814 (1.5848) Prec@1 49.375 (57.239) Prec@5 84.375 (85.239) Epoch: [86][1560/11272] Time 0.835 (0.796) Data 0.001 (0.004) Loss 1.5965 (1.5849) Prec@1 54.375 (57.231) Prec@5 87.500 (85.238) Epoch: [86][1570/11272] Time 0.823 (0.796) Data 0.002 (0.004) Loss 1.6217 (1.5842) Prec@1 55.000 (57.248) Prec@5 83.750 (85.246) Epoch: [86][1580/11272] Time 0.781 (0.796) Data 0.002 (0.004) Loss 1.8014 (1.5844) Prec@1 51.250 (57.241) Prec@5 80.000 (85.244) Epoch: [86][1590/11272] Time 0.711 (0.796) Data 0.001 (0.004) Loss 1.6652 (1.5843) Prec@1 56.875 (57.243) Prec@5 83.125 (85.246) Epoch: [86][1600/11272] Time 0.872 (0.796) Data 0.002 (0.004) Loss 1.7217 (1.5840) Prec@1 52.500 (57.253) Prec@5 82.500 (85.252) Epoch: [86][1610/11272] Time 0.744 (0.796) Data 0.002 (0.004) Loss 1.6144 (1.5845) Prec@1 57.500 (57.239) Prec@5 84.375 (85.242) Epoch: [86][1620/11272] Time 0.751 (0.796) Data 0.001 (0.004) Loss 1.6116 (1.5846) Prec@1 53.750 (57.233) Prec@5 85.000 (85.242) Epoch: [86][1630/11272] Time 0.830 (0.796) Data 0.001 (0.004) Loss 1.3498 (1.5842) Prec@1 61.250 (57.240) Prec@5 88.750 (85.249) Epoch: [86][1640/11272] Time 0.845 (0.796) Data 0.002 (0.004) Loss 1.4195 (1.5839) Prec@1 61.875 (57.251) Prec@5 86.875 (85.251) Epoch: [86][1650/11272] Time 0.728 (0.796) Data 0.001 (0.004) Loss 1.8009 (1.5838) Prec@1 54.375 (57.260) Prec@5 81.250 (85.255) Epoch: [86][1660/11272] Time 0.726 (0.796) Data 0.002 (0.004) Loss 1.4025 (1.5840) Prec@1 61.250 (57.261) Prec@5 90.625 (85.256) Epoch: [86][1670/11272] Time 0.843 (0.796) Data 0.002 (0.004) Loss 1.4160 (1.5841) Prec@1 61.875 (57.258) Prec@5 89.375 (85.257) Epoch: [86][1680/11272] Time 0.849 (0.796) Data 0.002 (0.004) Loss 1.7564 (1.5839) Prec@1 53.750 (57.260) Prec@5 81.875 (85.256) Epoch: [86][1690/11272] Time 0.715 (0.795) Data 0.002 (0.004) Loss 1.4530 (1.5835) Prec@1 60.000 (57.264) Prec@5 87.500 (85.269) Epoch: [86][1700/11272] Time 0.713 (0.795) Data 0.002 (0.004) Loss 1.7159 (1.5835) Prec@1 55.000 (57.257) Prec@5 81.875 (85.267) Epoch: [86][1710/11272] Time 0.824 (0.795) Data 0.001 (0.004) Loss 1.4893 (1.5836) Prec@1 56.875 (57.255) Prec@5 86.250 (85.264) Epoch: [86][1720/11272] Time 0.898 (0.796) Data 0.001 (0.004) Loss 1.6189 (1.5834) Prec@1 52.500 (57.253) Prec@5 84.375 (85.269) Epoch: [86][1730/11272] Time 0.729 (0.796) Data 0.001 (0.004) Loss 1.8117 (1.5834) Prec@1 53.125 (57.255) Prec@5 80.625 (85.269) Epoch: [86][1740/11272] Time 0.875 (0.796) Data 0.002 (0.004) Loss 1.7213 (1.5843) Prec@1 53.750 (57.237) Prec@5 85.000 (85.253) Epoch: [86][1750/11272] Time 0.808 (0.796) Data 0.001 (0.004) Loss 1.5773 (1.5844) Prec@1 55.625 (57.231) Prec@5 81.875 (85.248) Epoch: [86][1760/11272] Time 0.720 (0.796) Data 0.001 (0.004) Loss 1.6192 (1.5846) Prec@1 55.000 (57.220) Prec@5 84.375 (85.244) Epoch: [86][1770/11272] Time 0.748 (0.795) Data 0.002 (0.004) Loss 1.4940 (1.5848) Prec@1 59.375 (57.216) Prec@5 88.125 (85.243) Epoch: [86][1780/11272] Time 0.878 (0.795) Data 0.001 (0.004) Loss 1.6442 (1.5851) Prec@1 56.250 (57.203) Prec@5 86.250 (85.240) Epoch: [86][1790/11272] Time 0.827 (0.795) Data 0.001 (0.004) Loss 1.6444 (1.5852) Prec@1 58.125 (57.203) Prec@5 81.875 (85.237) Epoch: [86][1800/11272] Time 0.757 (0.795) Data 0.001 (0.004) Loss 1.7475 (1.5854) Prec@1 53.750 (57.206) Prec@5 81.875 (85.232) Epoch: [86][1810/11272] Time 0.732 (0.795) Data 0.001 (0.004) Loss 1.7238 (1.5854) Prec@1 52.500 (57.202) Prec@5 85.000 (85.234) Epoch: [86][1820/11272] Time 0.846 (0.795) Data 0.002 (0.004) Loss 1.5196 (1.5854) Prec@1 55.000 (57.203) Prec@5 86.250 (85.234) Epoch: [86][1830/11272] Time 0.857 (0.795) Data 0.001 (0.004) Loss 1.7864 (1.5855) Prec@1 51.250 (57.198) Prec@5 81.875 (85.235) Epoch: [86][1840/11272] Time 0.735 (0.795) Data 0.002 (0.004) Loss 1.3680 (1.5858) Prec@1 58.750 (57.185) Prec@5 89.375 (85.234) Epoch: [86][1850/11272] Time 0.709 (0.795) Data 0.001 (0.004) Loss 1.5168 (1.5855) Prec@1 53.750 (57.188) Prec@5 88.750 (85.243) Epoch: [86][1860/11272] Time 0.870 (0.795) Data 0.002 (0.004) Loss 1.4578 (1.5854) Prec@1 53.125 (57.203) Prec@5 88.750 (85.243) Epoch: [86][1870/11272] Time 0.780 (0.795) Data 0.004 (0.004) Loss 1.4084 (1.5854) Prec@1 58.750 (57.202) Prec@5 88.750 (85.244) Epoch: [86][1880/11272] Time 0.737 (0.795) Data 0.002 (0.004) Loss 1.6190 (1.5853) Prec@1 59.375 (57.205) Prec@5 86.875 (85.244) Epoch: [86][1890/11272] Time 0.852 (0.795) Data 0.002 (0.004) Loss 1.5746 (1.5857) Prec@1 58.750 (57.184) Prec@5 83.750 (85.237) Epoch: [86][1900/11272] Time 0.834 (0.795) Data 0.002 (0.004) Loss 1.7523 (1.5862) Prec@1 55.625 (57.171) Prec@5 81.250 (85.227) Epoch: [86][1910/11272] Time 0.708 (0.795) Data 0.001 (0.004) Loss 1.5876 (1.5861) Prec@1 53.750 (57.177) Prec@5 85.000 (85.226) Epoch: [86][1920/11272] Time 0.719 (0.795) Data 0.002 (0.004) Loss 1.4956 (1.5860) Prec@1 58.750 (57.173) Prec@5 85.000 (85.229) Epoch: [86][1930/11272] Time 0.819 (0.795) Data 0.002 (0.004) Loss 1.3744 (1.5861) Prec@1 65.000 (57.170) Prec@5 88.125 (85.230) Epoch: [86][1940/11272] Time 0.841 (0.795) Data 0.001 (0.004) Loss 1.8987 (1.5865) Prec@1 52.500 (57.172) Prec@5 81.250 (85.222) Epoch: [86][1950/11272] Time 0.723 (0.795) Data 0.002 (0.004) Loss 1.4814 (1.5863) Prec@1 58.750 (57.178) Prec@5 88.125 (85.228) Epoch: [86][1960/11272] Time 0.739 (0.795) Data 0.001 (0.004) Loss 1.4779 (1.5866) Prec@1 61.250 (57.172) Prec@5 86.250 (85.218) Epoch: [86][1970/11272] Time 0.833 (0.795) Data 0.001 (0.004) Loss 1.7311 (1.5870) Prec@1 53.125 (57.168) Prec@5 85.625 (85.214) Epoch: [86][1980/11272] Time 0.865 (0.795) Data 0.002 (0.004) Loss 1.4716 (1.5868) Prec@1 61.875 (57.177) Prec@5 86.875 (85.214) Epoch: [86][1990/11272] Time 0.713 (0.795) Data 0.001 (0.004) Loss 1.6326 (1.5870) Prec@1 52.500 (57.167) Prec@5 82.500 (85.205) Epoch: [86][2000/11272] Time 0.839 (0.795) Data 0.001 (0.004) Loss 1.4241 (1.5870) Prec@1 63.125 (57.168) Prec@5 86.875 (85.201) Epoch: [86][2010/11272] Time 0.827 (0.795) Data 0.001 (0.004) Loss 1.4949 (1.5869) Prec@1 53.750 (57.165) Prec@5 86.250 (85.207) Epoch: [86][2020/11272] Time 0.722 (0.795) Data 0.002 (0.004) Loss 1.4807 (1.5868) Prec@1 58.750 (57.170) Prec@5 86.250 (85.211) Epoch: [86][2030/11272] Time 0.720 (0.795) Data 0.001 (0.004) Loss 1.5027 (1.5867) Prec@1 60.625 (57.172) Prec@5 87.500 (85.209) Epoch: [86][2040/11272] Time 0.845 (0.795) Data 0.001 (0.004) Loss 1.4988 (1.5868) Prec@1 59.375 (57.169) Prec@5 86.875 (85.207) Epoch: [86][2050/11272] Time 0.850 (0.795) Data 0.002 (0.004) Loss 1.6321 (1.5868) Prec@1 57.500 (57.174) Prec@5 86.875 (85.209) Epoch: [86][2060/11272] Time 0.744 (0.795) Data 0.002 (0.003) Loss 1.7635 (1.5866) Prec@1 51.250 (57.177) Prec@5 83.125 (85.215) Epoch: [86][2070/11272] Time 0.722 (0.795) Data 0.001 (0.003) Loss 1.5964 (1.5864) Prec@1 57.500 (57.174) Prec@5 85.625 (85.217) Epoch: [86][2080/11272] Time 0.869 (0.795) Data 0.002 (0.003) Loss 1.6122 (1.5865) Prec@1 56.250 (57.167) Prec@5 83.750 (85.219) Epoch: [86][2090/11272] Time 0.835 (0.795) Data 0.001 (0.003) Loss 1.5593 (1.5864) Prec@1 56.875 (57.168) Prec@5 89.375 (85.219) Epoch: [86][2100/11272] Time 0.728 (0.795) Data 0.002 (0.003) Loss 1.6364 (1.5864) Prec@1 56.250 (57.168) Prec@5 84.375 (85.221) Epoch: [86][2110/11272] Time 0.706 (0.795) Data 0.001 (0.003) Loss 1.3981 (1.5863) Prec@1 63.750 (57.168) Prec@5 88.125 (85.223) Epoch: [86][2120/11272] Time 0.858 (0.795) Data 0.002 (0.003) Loss 1.4064 (1.5862) Prec@1 56.250 (57.170) Prec@5 93.125 (85.225) Epoch: [86][2130/11272] Time 0.717 (0.795) Data 0.003 (0.003) Loss 1.4765 (1.5864) Prec@1 63.125 (57.165) Prec@5 85.625 (85.219) Epoch: [86][2140/11272] Time 0.710 (0.795) Data 0.001 (0.003) Loss 1.5536 (1.5865) Prec@1 55.625 (57.162) Prec@5 86.875 (85.214) Epoch: [86][2150/11272] Time 0.831 (0.795) Data 0.001 (0.003) Loss 1.7792 (1.5867) Prec@1 52.500 (57.155) Prec@5 81.875 (85.209) Epoch: [86][2160/11272] Time 0.883 (0.795) Data 0.001 (0.003) Loss 1.5167 (1.5867) Prec@1 62.500 (57.154) Prec@5 83.750 (85.204) Epoch: [86][2170/11272] Time 0.722 (0.795) Data 0.001 (0.003) Loss 1.6399 (1.5867) Prec@1 55.000 (57.161) Prec@5 85.000 (85.201) Epoch: [86][2180/11272] Time 0.740 (0.795) Data 0.003 (0.003) Loss 1.6838 (1.5867) Prec@1 55.625 (57.156) Prec@5 81.250 (85.199) Epoch: [86][2190/11272] Time 0.844 (0.795) Data 0.001 (0.003) Loss 1.5348 (1.5866) Prec@1 58.750 (57.160) Prec@5 84.375 (85.201) Epoch: [86][2200/11272] Time 0.835 (0.795) Data 0.001 (0.003) Loss 1.4102 (1.5864) Prec@1 66.250 (57.160) Prec@5 88.125 (85.203) Epoch: [86][2210/11272] Time 0.744 (0.795) Data 0.001 (0.003) Loss 1.7910 (1.5864) Prec@1 53.750 (57.166) Prec@5 84.375 (85.207) Epoch: [86][2220/11272] Time 0.722 (0.795) Data 0.002 (0.003) Loss 1.5387 (1.5864) Prec@1 61.250 (57.158) Prec@5 84.375 (85.210) Epoch: [86][2230/11272] Time 0.860 (0.795) Data 0.001 (0.003) Loss 1.5912 (1.5867) Prec@1 58.125 (57.147) Prec@5 85.000 (85.205) Epoch: [86][2240/11272] Time 0.871 (0.795) Data 0.001 (0.003) Loss 1.7058 (1.5869) Prec@1 55.625 (57.137) Prec@5 78.125 (85.202) Epoch: [86][2250/11272] Time 0.732 (0.795) Data 0.001 (0.003) Loss 1.5851 (1.5871) Prec@1 60.625 (57.129) Prec@5 85.000 (85.200) Epoch: [86][2260/11272] Time 0.831 (0.795) Data 0.002 (0.003) Loss 1.6572 (1.5873) Prec@1 53.125 (57.124) Prec@5 85.000 (85.198) Epoch: [86][2270/11272] Time 0.865 (0.795) Data 0.001 (0.003) Loss 1.5551 (1.5872) Prec@1 55.000 (57.121) Prec@5 86.875 (85.199) Epoch: [86][2280/11272] Time 0.779 (0.794) Data 0.002 (0.003) Loss 1.7352 (1.5875) Prec@1 52.500 (57.115) Prec@5 84.375 (85.199) Epoch: [86][2290/11272] Time 0.718 (0.794) Data 0.001 (0.003) Loss 1.6010 (1.5874) Prec@1 59.375 (57.119) Prec@5 83.125 (85.201) Epoch: [86][2300/11272] Time 0.873 (0.795) Data 0.002 (0.003) Loss 1.5088 (1.5874) Prec@1 64.375 (57.113) Prec@5 86.250 (85.202) Epoch: [86][2310/11272] Time 0.824 (0.794) Data 0.001 (0.003) Loss 1.6325 (1.5876) Prec@1 61.875 (57.114) Prec@5 81.875 (85.198) Epoch: [86][2320/11272] Time 0.718 (0.794) Data 0.002 (0.003) Loss 1.4113 (1.5881) Prec@1 65.625 (57.104) Prec@5 87.500 (85.185) Epoch: [86][2330/11272] Time 0.727 (0.794) Data 0.001 (0.003) Loss 1.7360 (1.5882) Prec@1 52.500 (57.100) Prec@5 81.875 (85.179) Epoch: [86][2340/11272] Time 0.877 (0.794) Data 0.004 (0.003) Loss 1.5338 (1.5885) Prec@1 63.750 (57.099) Prec@5 82.500 (85.171) Epoch: [86][2350/11272] Time 0.836 (0.794) Data 0.001 (0.003) Loss 1.5095 (1.5885) Prec@1 58.750 (57.099) Prec@5 87.500 (85.167) Epoch: [86][2360/11272] Time 0.757 (0.794) Data 0.004 (0.003) Loss 1.6173 (1.5884) Prec@1 54.375 (57.103) Prec@5 88.125 (85.175) Epoch: [86][2370/11272] Time 0.731 (0.794) Data 0.001 (0.003) Loss 1.6978 (1.5883) Prec@1 53.125 (57.102) Prec@5 85.000 (85.180) Epoch: [86][2380/11272] Time 0.867 (0.794) Data 0.002 (0.003) Loss 1.3548 (1.5880) Prec@1 62.500 (57.102) Prec@5 88.125 (85.186) Epoch: [86][2390/11272] Time 0.847 (0.794) Data 0.002 (0.003) Loss 1.6330 (1.5879) Prec@1 54.375 (57.102) Prec@5 81.875 (85.186) Epoch: [86][2400/11272] Time 0.720 (0.794) Data 0.001 (0.003) Loss 1.6360 (1.5881) Prec@1 57.500 (57.097) Prec@5 81.875 (85.182) Epoch: [86][2410/11272] Time 0.874 (0.794) Data 0.002 (0.003) Loss 1.5465 (1.5881) Prec@1 50.625 (57.099) Prec@5 86.875 (85.183) Epoch: [86][2420/11272] Time 0.837 (0.794) Data 0.001 (0.003) Loss 1.7090 (1.5883) Prec@1 58.125 (57.094) Prec@5 83.750 (85.173) Epoch: [86][2430/11272] Time 0.754 (0.794) Data 0.001 (0.003) Loss 1.5414 (1.5883) Prec@1 56.250 (57.100) Prec@5 86.875 (85.174) Epoch: [86][2440/11272] Time 0.730 (0.794) Data 0.003 (0.003) Loss 1.7327 (1.5883) Prec@1 51.875 (57.102) Prec@5 82.500 (85.174) Epoch: [86][2450/11272] Time 0.822 (0.794) Data 0.001 (0.003) Loss 1.5016 (1.5885) Prec@1 63.125 (57.098) Prec@5 83.125 (85.169) Epoch: [86][2460/11272] Time 0.815 (0.794) Data 0.002 (0.003) Loss 1.6840 (1.5886) Prec@1 51.875 (57.096) Prec@5 86.875 (85.169) Epoch: [86][2470/11272] Time 0.740 (0.794) Data 0.001 (0.003) Loss 1.4738 (1.5884) Prec@1 55.625 (57.098) Prec@5 86.250 (85.169) Epoch: [86][2480/11272] Time 0.743 (0.794) Data 0.002 (0.003) Loss 1.7128 (1.5885) Prec@1 50.000 (57.093) Prec@5 84.375 (85.169) Epoch: [86][2490/11272] Time 0.865 (0.794) Data 0.001 (0.003) Loss 1.6035 (1.5888) Prec@1 53.750 (57.087) Prec@5 88.750 (85.163) Epoch: [86][2500/11272] Time 0.854 (0.794) Data 0.002 (0.003) Loss 1.6075 (1.5885) Prec@1 57.500 (57.095) Prec@5 83.750 (85.168) Epoch: [86][2510/11272] Time 0.708 (0.794) Data 0.001 (0.003) Loss 1.2769 (1.5884) Prec@1 66.875 (57.103) Prec@5 90.000 (85.170) Epoch: [86][2520/11272] Time 0.748 (0.794) Data 0.001 (0.003) Loss 1.2973 (1.5883) Prec@1 72.500 (57.111) Prec@5 90.000 (85.169) Epoch: [86][2530/11272] Time 0.816 (0.794) Data 0.001 (0.003) Loss 1.5795 (1.5886) Prec@1 63.125 (57.110) Prec@5 81.875 (85.162) Epoch: [86][2540/11272] Time 0.724 (0.794) Data 0.002 (0.003) Loss 1.6462 (1.5887) Prec@1 55.625 (57.109) Prec@5 81.250 (85.157) Epoch: [86][2550/11272] Time 0.727 (0.794) Data 0.001 (0.003) Loss 1.5256 (1.5886) Prec@1 52.500 (57.109) Prec@5 88.750 (85.160) Epoch: [86][2560/11272] Time 0.866 (0.794) Data 0.001 (0.003) Loss 1.7623 (1.5884) Prec@1 48.750 (57.110) Prec@5 81.875 (85.165) Epoch: [86][2570/11272] Time 0.870 (0.794) Data 0.002 (0.003) Loss 1.4463 (1.5883) Prec@1 62.500 (57.109) Prec@5 87.500 (85.167) Epoch: [86][2580/11272] Time 0.740 (0.794) Data 0.001 (0.003) Loss 1.7822 (1.5885) Prec@1 55.625 (57.107) Prec@5 83.750 (85.166) Epoch: [86][2590/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 2.0039 (1.5888) Prec@1 50.000 (57.102) Prec@5 82.500 (85.162) Epoch: [86][2600/11272] Time 0.841 (0.794) Data 0.002 (0.003) Loss 1.9490 (1.5889) Prec@1 47.500 (57.098) Prec@5 76.250 (85.156) Epoch: [86][2610/11272] Time 0.837 (0.794) Data 0.002 (0.003) Loss 1.7022 (1.5889) Prec@1 51.250 (57.100) Prec@5 83.750 (85.158) Epoch: [86][2620/11272] Time 0.732 (0.794) Data 0.001 (0.003) Loss 1.4864 (1.5888) Prec@1 54.375 (57.101) Prec@5 88.750 (85.160) Epoch: [86][2630/11272] Time 0.716 (0.794) Data 0.001 (0.003) Loss 1.5988 (1.5887) Prec@1 53.750 (57.106) Prec@5 88.125 (85.162) Epoch: [86][2640/11272] Time 0.829 (0.794) Data 0.001 (0.003) Loss 1.5425 (1.5886) Prec@1 61.250 (57.105) Prec@5 86.875 (85.163) Epoch: [86][2650/11272] Time 0.857 (0.794) Data 0.002 (0.003) Loss 1.2980 (1.5882) Prec@1 63.125 (57.118) Prec@5 93.125 (85.166) Epoch: [86][2660/11272] Time 0.723 (0.794) Data 0.002 (0.003) Loss 1.6156 (1.5882) Prec@1 52.500 (57.114) Prec@5 85.625 (85.163) Epoch: [86][2670/11272] Time 0.909 (0.794) Data 0.001 (0.003) Loss 1.3529 (1.5880) Prec@1 66.250 (57.123) Prec@5 90.000 (85.164) Epoch: [86][2680/11272] Time 0.895 (0.794) Data 0.001 (0.003) Loss 1.5826 (1.5880) Prec@1 55.625 (57.125) Prec@5 85.000 (85.164) Epoch: [86][2690/11272] Time 0.714 (0.794) Data 0.001 (0.003) Loss 1.5767 (1.5882) Prec@1 60.000 (57.123) Prec@5 78.750 (85.159) Epoch: [86][2700/11272] Time 0.746 (0.794) Data 0.006 (0.003) Loss 1.8344 (1.5883) Prec@1 56.250 (57.126) Prec@5 83.125 (85.156) Epoch: [86][2710/11272] Time 0.866 (0.794) Data 0.002 (0.003) Loss 1.6596 (1.5882) Prec@1 55.000 (57.124) Prec@5 83.125 (85.161) Epoch: [86][2720/11272] Time 0.825 (0.794) Data 0.002 (0.003) Loss 1.5246 (1.5884) Prec@1 58.125 (57.118) Prec@5 85.625 (85.156) Epoch: [86][2730/11272] Time 0.739 (0.794) Data 0.002 (0.003) Loss 1.6071 (1.5886) Prec@1 60.000 (57.110) Prec@5 84.375 (85.150) Epoch: [86][2740/11272] Time 0.753 (0.794) Data 0.001 (0.003) Loss 1.4717 (1.5887) Prec@1 58.750 (57.111) Prec@5 87.500 (85.150) Epoch: [86][2750/11272] Time 0.854 (0.794) Data 0.002 (0.003) Loss 1.4517 (1.5887) Prec@1 61.875 (57.112) Prec@5 88.750 (85.148) Epoch: [86][2760/11272] Time 0.877 (0.794) Data 0.002 (0.003) Loss 1.5239 (1.5888) Prec@1 57.500 (57.108) Prec@5 86.250 (85.150) Epoch: [86][2770/11272] Time 0.720 (0.794) Data 0.002 (0.003) Loss 1.7388 (1.5888) Prec@1 50.625 (57.110) Prec@5 85.000 (85.153) Epoch: [86][2780/11272] Time 0.771 (0.794) Data 0.001 (0.003) Loss 1.5315 (1.5887) Prec@1 54.375 (57.112) Prec@5 88.125 (85.156) Epoch: [86][2790/11272] Time 0.817 (0.794) Data 0.001 (0.003) Loss 1.5056 (1.5888) Prec@1 58.750 (57.113) Prec@5 86.875 (85.154) Epoch: [86][2800/11272] Time 0.715 (0.794) Data 0.004 (0.003) Loss 1.6529 (1.5886) Prec@1 56.875 (57.122) Prec@5 88.125 (85.159) Epoch: [86][2810/11272] Time 0.721 (0.794) Data 0.001 (0.003) Loss 1.3031 (1.5886) Prec@1 60.625 (57.123) Prec@5 91.250 (85.155) Epoch: [86][2820/11272] Time 0.883 (0.794) Data 0.004 (0.003) Loss 1.5129 (1.5886) Prec@1 61.250 (57.126) Prec@5 85.000 (85.155) Epoch: [86][2830/11272] Time 0.790 (0.794) Data 0.001 (0.003) Loss 1.4644 (1.5886) Prec@1 60.000 (57.131) Prec@5 89.375 (85.155) Epoch: [86][2840/11272] Time 0.752 (0.794) Data 0.002 (0.003) Loss 1.6229 (1.5886) Prec@1 60.000 (57.129) Prec@5 81.875 (85.155) Epoch: [86][2850/11272] Time 0.713 (0.794) Data 0.002 (0.003) Loss 1.6616 (1.5886) Prec@1 55.000 (57.125) Prec@5 83.750 (85.156) Epoch: [86][2860/11272] Time 0.881 (0.794) Data 0.001 (0.003) Loss 1.7080 (1.5887) Prec@1 58.750 (57.123) Prec@5 84.375 (85.154) Epoch: [86][2870/11272] Time 0.808 (0.794) Data 0.001 (0.003) Loss 1.4663 (1.5888) Prec@1 56.875 (57.121) Prec@5 87.500 (85.152) Epoch: [86][2880/11272] Time 0.728 (0.794) Data 0.001 (0.003) Loss 1.5133 (1.5887) Prec@1 56.875 (57.124) Prec@5 84.375 (85.154) Epoch: [86][2890/11272] Time 0.716 (0.794) Data 0.001 (0.003) Loss 1.5745 (1.5888) Prec@1 57.500 (57.122) Prec@5 89.375 (85.155) Epoch: [86][2900/11272] Time 0.856 (0.794) Data 0.001 (0.003) Loss 1.5065 (1.5890) Prec@1 56.250 (57.115) Prec@5 86.875 (85.155) Epoch: [86][2910/11272] Time 0.880 (0.794) Data 0.002 (0.003) Loss 1.5416 (1.5891) Prec@1 58.125 (57.112) Prec@5 81.875 (85.153) Epoch: [86][2920/11272] Time 0.762 (0.794) Data 0.001 (0.003) Loss 1.6497 (1.5890) Prec@1 59.375 (57.113) Prec@5 82.500 (85.154) Epoch: [86][2930/11272] Time 0.836 (0.794) Data 0.002 (0.003) Loss 1.6229 (1.5891) Prec@1 58.125 (57.107) Prec@5 86.875 (85.154) Epoch: [86][2940/11272] Time 0.852 (0.794) Data 0.002 (0.003) Loss 1.5117 (1.5892) Prec@1 61.250 (57.106) Prec@5 88.750 (85.154) Epoch: [86][2950/11272] Time 0.725 (0.794) Data 0.001 (0.003) Loss 1.6602 (1.5890) Prec@1 53.750 (57.109) Prec@5 81.250 (85.155) Epoch: [86][2960/11272] Time 0.762 (0.794) Data 0.002 (0.003) Loss 1.4581 (1.5889) Prec@1 60.625 (57.110) Prec@5 87.500 (85.156) Epoch: [86][2970/11272] Time 0.846 (0.794) Data 0.001 (0.003) Loss 1.8415 (1.5891) Prec@1 48.750 (57.099) Prec@5 78.750 (85.153) Epoch: [86][2980/11272] Time 0.930 (0.794) Data 0.001 (0.003) Loss 1.5803 (1.5893) Prec@1 58.750 (57.099) Prec@5 86.875 (85.149) Epoch: [86][2990/11272] Time 0.719 (0.794) Data 0.001 (0.003) Loss 1.7944 (1.5894) Prec@1 55.000 (57.096) Prec@5 80.625 (85.146) Epoch: [86][3000/11272] Time 0.749 (0.794) Data 0.002 (0.003) Loss 1.4928 (1.5894) Prec@1 56.250 (57.095) Prec@5 86.250 (85.145) Epoch: [86][3010/11272] Time 0.844 (0.794) Data 0.001 (0.003) Loss 1.4615 (1.5892) Prec@1 61.250 (57.098) Prec@5 86.250 (85.149) Epoch: [86][3020/11272] Time 0.896 (0.794) Data 0.001 (0.003) Loss 1.3829 (1.5892) Prec@1 63.750 (57.096) Prec@5 86.875 (85.147) Epoch: [86][3030/11272] Time 0.728 (0.794) Data 0.002 (0.003) Loss 1.8258 (1.5893) Prec@1 48.125 (57.093) Prec@5 82.500 (85.145) Epoch: [86][3040/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 1.4996 (1.5891) Prec@1 60.000 (57.095) Prec@5 86.875 (85.145) Epoch: [86][3050/11272] Time 0.819 (0.794) Data 0.001 (0.003) Loss 1.8049 (1.5893) Prec@1 52.500 (57.089) Prec@5 86.875 (85.144) Epoch: [86][3060/11272] Time 0.770 (0.794) Data 0.003 (0.003) Loss 1.8133 (1.5894) Prec@1 50.000 (57.086) Prec@5 83.125 (85.143) Epoch: [86][3070/11272] Time 0.746 (0.794) Data 0.001 (0.003) Loss 1.6480 (1.5892) Prec@1 52.500 (57.093) Prec@5 83.750 (85.143) Epoch: [86][3080/11272] Time 0.830 (0.794) Data 0.002 (0.003) Loss 1.3467 (1.5893) Prec@1 63.125 (57.091) Prec@5 90.000 (85.139) Epoch: [86][3090/11272] Time 0.819 (0.794) Data 0.001 (0.003) Loss 1.7224 (1.5893) Prec@1 50.625 (57.093) Prec@5 85.625 (85.143) Epoch: [86][3100/11272] Time 0.733 (0.794) Data 0.002 (0.003) Loss 1.8082 (1.5895) Prec@1 50.625 (57.087) Prec@5 85.000 (85.142) Epoch: [86][3110/11272] Time 0.711 (0.794) Data 0.001 (0.003) Loss 1.5979 (1.5898) Prec@1 53.750 (57.079) Prec@5 86.875 (85.139) Epoch: [86][3120/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 1.4818 (1.5899) Prec@1 61.875 (57.080) Prec@5 89.375 (85.136) Epoch: [86][3130/11272] Time 0.818 (0.794) Data 0.001 (0.003) Loss 1.6023 (1.5898) Prec@1 53.750 (57.079) Prec@5 84.375 (85.137) Epoch: [86][3140/11272] Time 0.723 (0.794) Data 0.002 (0.003) Loss 1.5301 (1.5898) Prec@1 58.750 (57.079) Prec@5 85.625 (85.136) Epoch: [86][3150/11272] Time 0.756 (0.794) Data 0.001 (0.003) Loss 1.5987 (1.5897) Prec@1 55.625 (57.082) Prec@5 84.375 (85.139) Epoch: [86][3160/11272] Time 0.851 (0.794) Data 0.001 (0.003) Loss 1.4779 (1.5896) Prec@1 59.375 (57.083) Prec@5 86.875 (85.142) Epoch: [86][3170/11272] Time 0.882 (0.794) Data 0.002 (0.003) Loss 1.5209 (1.5896) Prec@1 59.375 (57.083) Prec@5 86.875 (85.141) Epoch: [86][3180/11272] Time 0.750 (0.794) Data 0.002 (0.003) Loss 1.4259 (1.5895) Prec@1 58.750 (57.085) Prec@5 88.125 (85.146) Epoch: [86][3190/11272] Time 0.892 (0.794) Data 0.001 (0.003) Loss 1.5788 (1.5893) Prec@1 59.375 (57.093) Prec@5 86.250 (85.150) Epoch: [86][3200/11272] Time 0.882 (0.794) Data 0.001 (0.003) Loss 1.4523 (1.5892) Prec@1 58.750 (57.093) Prec@5 90.000 (85.152) Epoch: [86][3210/11272] Time 0.750 (0.794) Data 0.001 (0.003) Loss 1.4298 (1.5890) Prec@1 61.875 (57.096) Prec@5 86.875 (85.156) Epoch: [86][3220/11272] Time 0.738 (0.794) Data 0.002 (0.003) Loss 1.7444 (1.5892) Prec@1 52.500 (57.089) Prec@5 83.750 (85.151) Epoch: [86][3230/11272] Time 0.796 (0.794) Data 0.001 (0.003) Loss 1.4218 (1.5893) Prec@1 62.500 (57.086) Prec@5 85.625 (85.150) Epoch: [86][3240/11272] Time 0.831 (0.794) Data 0.001 (0.003) Loss 1.5336 (1.5893) Prec@1 57.500 (57.085) Prec@5 87.500 (85.149) Epoch: [86][3250/11272] Time 0.719 (0.794) Data 0.001 (0.003) Loss 1.6909 (1.5894) Prec@1 56.875 (57.081) Prec@5 84.375 (85.150) Epoch: [86][3260/11272] Time 0.714 (0.794) Data 0.001 (0.003) Loss 1.6234 (1.5895) Prec@1 56.875 (57.081) Prec@5 83.125 (85.148) Epoch: [86][3270/11272] Time 0.858 (0.794) Data 0.001 (0.003) Loss 1.5972 (1.5895) Prec@1 59.375 (57.079) Prec@5 85.000 (85.146) Epoch: [86][3280/11272] Time 0.832 (0.794) Data 0.001 (0.003) Loss 1.5667 (1.5895) Prec@1 59.375 (57.083) Prec@5 85.625 (85.147) Epoch: [86][3290/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 1.8448 (1.5899) Prec@1 52.500 (57.073) Prec@5 79.375 (85.138) Epoch: [86][3300/11272] Time 0.707 (0.794) Data 0.001 (0.003) Loss 1.4503 (1.5897) Prec@1 62.500 (57.083) Prec@5 88.125 (85.140) Epoch: [86][3310/11272] Time 0.860 (0.794) Data 0.001 (0.003) Loss 1.6116 (1.5898) Prec@1 58.125 (57.085) Prec@5 87.500 (85.139) Epoch: [86][3320/11272] Time 0.840 (0.794) Data 0.002 (0.003) Loss 1.7158 (1.5898) Prec@1 56.250 (57.088) Prec@5 83.125 (85.142) Epoch: [86][3330/11272] Time 0.747 (0.794) Data 0.002 (0.003) Loss 1.3906 (1.5894) Prec@1 63.750 (57.102) Prec@5 88.750 (85.149) Epoch: [86][3340/11272] Time 0.872 (0.794) Data 0.001 (0.003) Loss 1.6238 (1.5893) Prec@1 64.375 (57.109) Prec@5 82.500 (85.149) Epoch: [86][3350/11272] Time 0.826 (0.794) Data 0.002 (0.003) Loss 1.6922 (1.5893) Prec@1 57.500 (57.112) Prec@5 85.000 (85.151) Epoch: [86][3360/11272] Time 0.714 (0.794) Data 0.001 (0.003) Loss 1.3492 (1.5895) Prec@1 59.375 (57.107) Prec@5 89.375 (85.145) Epoch: [86][3370/11272] Time 0.785 (0.794) Data 0.002 (0.003) Loss 1.6627 (1.5896) Prec@1 51.875 (57.099) Prec@5 85.625 (85.143) Epoch: [86][3380/11272] Time 0.865 (0.794) Data 0.002 (0.003) Loss 1.8043 (1.5895) Prec@1 55.625 (57.104) Prec@5 83.125 (85.145) Epoch: [86][3390/11272] Time 0.841 (0.794) Data 0.001 (0.003) Loss 1.4802 (1.5895) Prec@1 54.375 (57.101) Prec@5 92.500 (85.149) Epoch: [86][3400/11272] Time 0.736 (0.794) Data 0.001 (0.003) Loss 1.6738 (1.5896) Prec@1 50.625 (57.090) Prec@5 85.000 (85.149) Epoch: [86][3410/11272] Time 0.713 (0.794) Data 0.001 (0.003) Loss 1.5514 (1.5896) Prec@1 58.125 (57.090) Prec@5 88.125 (85.151) Epoch: [86][3420/11272] Time 0.869 (0.794) Data 0.001 (0.003) Loss 1.5891 (1.5896) Prec@1 60.625 (57.090) Prec@5 81.875 (85.152) Epoch: [86][3430/11272] Time 0.811 (0.794) Data 0.001 (0.003) Loss 1.5382 (1.5896) Prec@1 56.875 (57.087) Prec@5 83.750 (85.153) Epoch: [86][3440/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.9053 (1.5897) Prec@1 51.250 (57.088) Prec@5 81.875 (85.148) Epoch: [86][3450/11272] Time 0.757 (0.794) Data 0.002 (0.003) Loss 1.6613 (1.5896) Prec@1 54.375 (57.087) Prec@5 83.750 (85.148) Epoch: [86][3460/11272] Time 0.873 (0.794) Data 0.002 (0.003) Loss 2.0700 (1.5896) Prec@1 51.875 (57.087) Prec@5 76.250 (85.149) Epoch: [86][3470/11272] Time 0.720 (0.794) Data 0.001 (0.003) Loss 1.7861 (1.5899) Prec@1 53.125 (57.082) Prec@5 82.500 (85.146) Epoch: [86][3480/11272] Time 0.720 (0.794) Data 0.001 (0.003) Loss 1.5983 (1.5900) Prec@1 56.875 (57.078) Prec@5 85.625 (85.145) Epoch: [86][3490/11272] Time 0.839 (0.794) Data 0.001 (0.003) Loss 1.5090 (1.5897) Prec@1 60.625 (57.081) Prec@5 87.500 (85.152) Epoch: [86][3500/11272] Time 0.853 (0.794) Data 0.002 (0.003) Loss 1.6278 (1.5899) Prec@1 59.375 (57.078) Prec@5 81.250 (85.148) Epoch: [86][3510/11272] Time 0.722 (0.794) Data 0.002 (0.003) Loss 1.7632 (1.5902) Prec@1 57.500 (57.075) Prec@5 81.250 (85.144) Epoch: [86][3520/11272] Time 0.716 (0.794) Data 0.002 (0.003) Loss 1.5406 (1.5905) Prec@1 64.375 (57.072) Prec@5 81.875 (85.135) Epoch: [86][3530/11272] Time 0.865 (0.794) Data 0.002 (0.003) Loss 1.7193 (1.5904) Prec@1 57.500 (57.077) Prec@5 81.250 (85.134) Epoch: [86][3540/11272] Time 0.824 (0.794) Data 0.001 (0.003) Loss 1.5912 (1.5904) Prec@1 59.375 (57.079) Prec@5 85.000 (85.135) Epoch: [86][3550/11272] Time 0.746 (0.794) Data 0.002 (0.003) Loss 1.4876 (1.5904) Prec@1 57.500 (57.074) Prec@5 84.375 (85.136) Epoch: [86][3560/11272] Time 0.727 (0.794) Data 0.002 (0.003) Loss 1.5003 (1.5904) Prec@1 64.375 (57.075) Prec@5 86.250 (85.138) Epoch: [86][3570/11272] Time 0.812 (0.794) Data 0.001 (0.003) Loss 1.8300 (1.5905) Prec@1 53.750 (57.068) Prec@5 80.625 (85.136) Epoch: [86][3580/11272] Time 0.850 (0.794) Data 0.002 (0.003) Loss 1.4408 (1.5904) Prec@1 60.000 (57.072) Prec@5 88.125 (85.136) Epoch: [86][3590/11272] Time 0.726 (0.794) Data 0.001 (0.003) Loss 1.5448 (1.5902) Prec@1 59.375 (57.076) Prec@5 85.000 (85.137) Epoch: [86][3600/11272] Time 0.828 (0.794) Data 0.002 (0.003) Loss 1.5794 (1.5901) Prec@1 58.125 (57.083) Prec@5 81.250 (85.139) Epoch: [86][3610/11272] Time 0.823 (0.794) Data 0.001 (0.003) Loss 1.4687 (1.5900) Prec@1 61.875 (57.089) Prec@5 86.250 (85.137) Epoch: [86][3620/11272] Time 0.716 (0.794) Data 0.001 (0.003) Loss 1.4967 (1.5899) Prec@1 60.625 (57.091) Prec@5 84.375 (85.137) Epoch: [86][3630/11272] Time 0.732 (0.794) Data 0.001 (0.003) Loss 1.4565 (1.5901) Prec@1 58.750 (57.089) Prec@5 88.750 (85.135) Epoch: [86][3640/11272] Time 0.863 (0.794) Data 0.001 (0.003) Loss 1.5972 (1.5899) Prec@1 56.875 (57.090) Prec@5 84.375 (85.139) Epoch: [86][3650/11272] Time 0.815 (0.794) Data 0.001 (0.003) Loss 1.6131 (1.5900) Prec@1 58.750 (57.087) Prec@5 84.375 (85.136) Epoch: [86][3660/11272] Time 0.740 (0.794) Data 0.001 (0.003) Loss 1.6081 (1.5900) Prec@1 58.750 (57.091) Prec@5 84.375 (85.137) Epoch: [86][3670/11272] Time 0.734 (0.794) Data 0.001 (0.003) Loss 1.9200 (1.5901) Prec@1 47.500 (57.087) Prec@5 81.250 (85.134) Epoch: [86][3680/11272] Time 0.870 (0.794) Data 0.001 (0.003) Loss 1.7136 (1.5903) Prec@1 55.625 (57.081) Prec@5 82.500 (85.132) Epoch: [86][3690/11272] Time 0.820 (0.794) Data 0.001 (0.003) Loss 1.6468 (1.5904) Prec@1 57.500 (57.078) Prec@5 83.750 (85.131) Epoch: [86][3700/11272] Time 0.709 (0.794) Data 0.002 (0.003) Loss 1.6000 (1.5904) Prec@1 53.125 (57.078) Prec@5 83.125 (85.131) Epoch: [86][3710/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 1.6367 (1.5906) Prec@1 54.375 (57.072) Prec@5 86.875 (85.128) Epoch: [86][3720/11272] Time 0.863 (0.794) Data 0.002 (0.003) Loss 1.6837 (1.5907) Prec@1 55.000 (57.071) Prec@5 82.500 (85.128) Epoch: [86][3730/11272] Time 0.722 (0.794) Data 0.003 (0.003) Loss 1.6334 (1.5907) Prec@1 49.375 (57.067) Prec@5 86.250 (85.125) Epoch: [86][3740/11272] Time 0.765 (0.794) Data 0.002 (0.003) Loss 1.4524 (1.5908) Prec@1 57.500 (57.068) Prec@5 86.250 (85.124) Epoch: [86][3750/11272] Time 0.829 (0.794) Data 0.001 (0.003) Loss 1.7307 (1.5907) Prec@1 52.500 (57.070) Prec@5 81.875 (85.123) Epoch: [86][3760/11272] Time 0.842 (0.794) Data 0.001 (0.003) Loss 1.5786 (1.5908) Prec@1 59.375 (57.069) Prec@5 83.125 (85.120) Epoch: [86][3770/11272] Time 0.748 (0.794) Data 0.002 (0.003) Loss 1.6579 (1.5909) Prec@1 53.125 (57.067) Prec@5 80.625 (85.120) Epoch: [86][3780/11272] Time 0.709 (0.794) Data 0.002 (0.003) Loss 1.5692 (1.5909) Prec@1 55.625 (57.065) Prec@5 86.875 (85.119) Epoch: [86][3790/11272] Time 0.826 (0.794) Data 0.001 (0.003) Loss 1.6775 (1.5910) Prec@1 59.375 (57.063) Prec@5 81.250 (85.117) Epoch: [86][3800/11272] Time 0.891 (0.794) Data 0.001 (0.003) Loss 1.5995 (1.5908) Prec@1 53.750 (57.063) Prec@5 84.375 (85.121) Epoch: [86][3810/11272] Time 0.712 (0.794) Data 0.001 (0.003) Loss 1.7023 (1.5910) Prec@1 55.000 (57.061) Prec@5 83.125 (85.120) Epoch: [86][3820/11272] Time 0.697 (0.794) Data 0.002 (0.003) Loss 1.4117 (1.5910) Prec@1 61.250 (57.060) Prec@5 87.500 (85.123) Epoch: [86][3830/11272] Time 0.847 (0.794) Data 0.001 (0.003) Loss 1.6775 (1.5911) Prec@1 58.125 (57.058) Prec@5 81.875 (85.122) Epoch: [86][3840/11272] Time 0.871 (0.794) Data 0.003 (0.003) Loss 1.4283 (1.5911) Prec@1 63.750 (57.057) Prec@5 89.375 (85.122) Epoch: [86][3850/11272] Time 0.729 (0.794) Data 0.002 (0.003) Loss 1.5513 (1.5911) Prec@1 56.250 (57.058) Prec@5 85.625 (85.125) Epoch: [86][3860/11272] Time 0.873 (0.794) Data 0.001 (0.003) Loss 1.7494 (1.5912) Prec@1 53.750 (57.061) Prec@5 81.875 (85.124) Epoch: [86][3870/11272] Time 0.831 (0.794) Data 0.001 (0.003) Loss 1.6335 (1.5910) Prec@1 58.750 (57.067) Prec@5 85.000 (85.124) Epoch: [86][3880/11272] Time 0.713 (0.794) Data 0.001 (0.003) Loss 1.7365 (1.5912) Prec@1 55.625 (57.065) Prec@5 83.750 (85.121) Epoch: [86][3890/11272] Time 0.723 (0.794) Data 0.001 (0.003) Loss 1.5909 (1.5914) Prec@1 55.000 (57.062) Prec@5 85.000 (85.118) Epoch: [86][3900/11272] Time 0.911 (0.794) Data 0.001 (0.003) Loss 1.7414 (1.5915) Prec@1 53.750 (57.060) Prec@5 85.625 (85.118) Epoch: [86][3910/11272] Time 0.859 (0.794) Data 0.001 (0.003) Loss 1.5026 (1.5916) Prec@1 59.375 (57.059) Prec@5 86.875 (85.116) Epoch: [86][3920/11272] Time 0.719 (0.794) Data 0.001 (0.003) Loss 1.7252 (1.5917) Prec@1 51.875 (57.058) Prec@5 82.500 (85.116) Epoch: [86][3930/11272] Time 0.763 (0.794) Data 0.002 (0.003) Loss 1.7217 (1.5917) Prec@1 51.875 (57.057) Prec@5 83.125 (85.114) Epoch: [86][3940/11272] Time 0.834 (0.794) Data 0.001 (0.003) Loss 1.5599 (1.5918) Prec@1 56.875 (57.055) Prec@5 86.875 (85.114) Epoch: [86][3950/11272] Time 0.854 (0.794) Data 0.001 (0.003) Loss 1.5425 (1.5917) Prec@1 60.000 (57.054) Prec@5 86.250 (85.116) Epoch: [86][3960/11272] Time 0.718 (0.794) Data 0.001 (0.003) Loss 1.5834 (1.5917) Prec@1 57.500 (57.055) Prec@5 83.750 (85.114) Epoch: [86][3970/11272] Time 0.765 (0.794) Data 0.002 (0.003) Loss 1.4308 (1.5918) Prec@1 63.125 (57.056) Prec@5 87.500 (85.109) Epoch: [86][3980/11272] Time 0.887 (0.794) Data 0.002 (0.003) Loss 1.8916 (1.5918) Prec@1 51.250 (57.053) Prec@5 77.500 (85.109) Epoch: [86][3990/11272] Time 0.724 (0.794) Data 0.003 (0.003) Loss 1.6812 (1.5920) Prec@1 53.125 (57.048) Prec@5 83.125 (85.104) Epoch: [86][4000/11272] Time 0.726 (0.794) Data 0.002 (0.003) Loss 1.5436 (1.5921) Prec@1 58.750 (57.042) Prec@5 86.875 (85.105) Epoch: [86][4010/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 1.5266 (1.5922) Prec@1 58.750 (57.043) Prec@5 88.125 (85.103) Epoch: [86][4020/11272] Time 0.848 (0.794) Data 0.004 (0.003) Loss 1.5794 (1.5923) Prec@1 60.000 (57.041) Prec@5 84.375 (85.101) Epoch: [86][4030/11272] Time 0.714 (0.794) Data 0.002 (0.003) Loss 1.6243 (1.5922) Prec@1 57.500 (57.043) Prec@5 83.750 (85.104) Epoch: [86][4040/11272] Time 0.766 (0.794) Data 0.001 (0.003) Loss 1.4971 (1.5922) Prec@1 56.250 (57.042) Prec@5 88.750 (85.102) Epoch: [86][4050/11272] Time 0.816 (0.794) Data 0.001 (0.003) Loss 1.4835 (1.5920) Prec@1 61.875 (57.046) Prec@5 88.750 (85.110) Epoch: [86][4060/11272] Time 0.871 (0.794) Data 0.002 (0.003) Loss 1.6015 (1.5920) Prec@1 60.000 (57.046) Prec@5 83.750 (85.109) Epoch: [86][4070/11272] Time 0.722 (0.794) Data 0.001 (0.003) Loss 1.6174 (1.5921) Prec@1 55.000 (57.046) Prec@5 84.375 (85.109) Epoch: [86][4080/11272] Time 0.818 (0.794) Data 0.004 (0.003) Loss 1.6729 (1.5922) Prec@1 54.375 (57.043) Prec@5 80.625 (85.105) Epoch: [86][4090/11272] Time 0.815 (0.794) Data 0.001 (0.003) Loss 1.3422 (1.5920) Prec@1 61.875 (57.045) Prec@5 91.875 (85.108) Epoch: [86][4100/11272] Time 0.859 (0.794) Data 0.001 (0.003) Loss 1.5249 (1.5919) Prec@1 58.750 (57.046) Prec@5 86.250 (85.110) Epoch: [86][4110/11272] Time 0.707 (0.794) Data 0.001 (0.003) Loss 1.8185 (1.5920) Prec@1 49.375 (57.045) Prec@5 81.875 (85.110) Epoch: [86][4120/11272] Time 0.844 (0.794) Data 0.001 (0.003) Loss 1.5337 (1.5921) Prec@1 58.125 (57.041) Prec@5 85.625 (85.107) Epoch: [86][4130/11272] Time 0.795 (0.794) Data 0.001 (0.003) Loss 1.3863 (1.5922) Prec@1 60.625 (57.035) Prec@5 88.750 (85.109) Epoch: [86][4140/11272] Time 0.719 (0.794) Data 0.001 (0.003) Loss 1.9583 (1.5923) Prec@1 47.500 (57.033) Prec@5 80.000 (85.107) Epoch: [86][4150/11272] Time 0.713 (0.794) Data 0.002 (0.003) Loss 1.5462 (1.5923) Prec@1 53.750 (57.031) Prec@5 86.875 (85.107) Epoch: [86][4160/11272] Time 0.887 (0.794) Data 0.002 (0.003) Loss 1.5854 (1.5923) Prec@1 52.500 (57.033) Prec@5 85.000 (85.108) Epoch: [86][4170/11272] Time 0.827 (0.794) Data 0.001 (0.003) Loss 1.6606 (1.5922) Prec@1 55.000 (57.031) Prec@5 86.250 (85.110) Epoch: [86][4180/11272] Time 0.730 (0.794) Data 0.001 (0.003) Loss 1.3674 (1.5922) Prec@1 60.625 (57.031) Prec@5 90.000 (85.110) Epoch: [86][4190/11272] Time 0.709 (0.793) Data 0.001 (0.003) Loss 1.7550 (1.5923) Prec@1 49.375 (57.028) Prec@5 83.125 (85.109) Epoch: [86][4200/11272] Time 0.861 (0.793) Data 0.002 (0.003) Loss 1.6095 (1.5925) Prec@1 53.125 (57.027) Prec@5 88.750 (85.107) Epoch: [86][4210/11272] Time 0.859 (0.793) Data 0.001 (0.003) Loss 1.7971 (1.5925) Prec@1 51.250 (57.025) Prec@5 77.500 (85.106) Epoch: [86][4220/11272] Time 0.701 (0.793) Data 0.001 (0.003) Loss 1.4821 (1.5925) Prec@1 63.125 (57.024) Prec@5 86.875 (85.106) Epoch: [86][4230/11272] Time 0.707 (0.793) Data 0.001 (0.003) Loss 1.7533 (1.5925) Prec@1 53.750 (57.023) Prec@5 82.500 (85.105) Epoch: [86][4240/11272] Time 0.856 (0.793) Data 0.002 (0.003) Loss 1.5515 (1.5926) Prec@1 58.750 (57.022) Prec@5 86.875 (85.105) Epoch: [86][4250/11272] Time 0.869 (0.793) Data 0.002 (0.003) Loss 1.5288 (1.5925) Prec@1 58.125 (57.025) Prec@5 86.250 (85.108) Epoch: [86][4260/11272] Time 0.740 (0.793) Data 0.002 (0.003) Loss 1.5985 (1.5927) Prec@1 58.125 (57.022) Prec@5 81.875 (85.104) Epoch: [86][4270/11272] Time 0.838 (0.793) Data 0.001 (0.003) Loss 1.7440 (1.5929) Prec@1 52.500 (57.017) Prec@5 83.125 (85.101) Epoch: [86][4280/11272] Time 0.853 (0.793) Data 0.002 (0.003) Loss 1.6265 (1.5929) Prec@1 51.875 (57.016) Prec@5 86.250 (85.101) Epoch: [86][4290/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.5261 (1.5929) Prec@1 55.625 (57.013) Prec@5 88.750 (85.102) Epoch: [86][4300/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.3290 (1.5928) Prec@1 60.000 (57.015) Prec@5 90.625 (85.106) Epoch: [86][4310/11272] Time 0.805 (0.793) Data 0.001 (0.002) Loss 1.5535 (1.5928) Prec@1 58.750 (57.015) Prec@5 88.750 (85.109) Epoch: [86][4320/11272] Time 0.883 (0.793) Data 0.002 (0.002) Loss 1.6224 (1.5927) Prec@1 49.375 (57.011) Prec@5 83.125 (85.111) Epoch: [86][4330/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.4054 (1.5927) Prec@1 61.250 (57.009) Prec@5 90.000 (85.109) Epoch: [86][4340/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.6755 (1.5929) Prec@1 54.375 (57.008) Prec@5 85.000 (85.107) Epoch: [86][4350/11272] Time 0.843 (0.793) Data 0.001 (0.002) Loss 1.5742 (1.5929) Prec@1 57.500 (57.010) Prec@5 86.875 (85.105) Epoch: [86][4360/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.5820 (1.5930) Prec@1 58.750 (57.010) Prec@5 84.375 (85.103) Epoch: [86][4370/11272] Time 0.748 (0.793) Data 0.002 (0.002) Loss 1.5401 (1.5932) Prec@1 53.125 (57.006) Prec@5 86.875 (85.100) Epoch: [86][4380/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.3471 (1.5931) Prec@1 67.500 (57.008) Prec@5 86.875 (85.102) Epoch: [86][4390/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.5800 (1.5932) Prec@1 51.250 (57.006) Prec@5 84.375 (85.100) Epoch: [86][4400/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.6676 (1.5935) Prec@1 50.000 (56.996) Prec@5 86.250 (85.095) Epoch: [86][4410/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.7081 (1.5936) Prec@1 50.625 (56.990) Prec@5 81.875 (85.093) Epoch: [86][4420/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.6709 (1.5938) Prec@1 50.625 (56.986) Prec@5 86.875 (85.088) Epoch: [86][4430/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.4994 (1.5939) Prec@1 59.375 (56.986) Prec@5 85.625 (85.085) Epoch: [86][4440/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.5307 (1.5940) Prec@1 56.875 (56.986) Prec@5 85.000 (85.081) Epoch: [86][4450/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.4280 (1.5941) Prec@1 58.750 (56.985) Prec@5 88.750 (85.079) Epoch: [86][4460/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.7000 (1.5941) Prec@1 55.625 (56.986) Prec@5 83.125 (85.076) Epoch: [86][4470/11272] Time 0.818 (0.793) Data 0.001 (0.002) Loss 1.6336 (1.5942) Prec@1 59.375 (56.983) Prec@5 86.250 (85.075) Epoch: [86][4480/11272] Time 0.769 (0.793) Data 0.002 (0.002) Loss 1.6483 (1.5941) Prec@1 59.375 (56.986) Prec@5 81.875 (85.075) Epoch: [86][4490/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6415 (1.5941) Prec@1 53.125 (56.987) Prec@5 85.625 (85.077) Epoch: [86][4500/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.6564 (1.5943) Prec@1 52.500 (56.986) Prec@5 83.750 (85.076) Epoch: [86][4510/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.7803 (1.5942) Prec@1 52.500 (56.985) Prec@5 84.375 (85.080) Epoch: [86][4520/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.6077 (1.5943) Prec@1 48.750 (56.980) Prec@5 85.000 (85.082) Epoch: [86][4530/11272] Time 0.868 (0.793) Data 0.001 (0.002) Loss 1.7391 (1.5946) Prec@1 53.125 (56.973) Prec@5 80.625 (85.078) Epoch: [86][4540/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 1.4326 (1.5946) Prec@1 60.000 (56.972) Prec@5 86.250 (85.078) Epoch: [86][4550/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 2.0466 (1.5947) Prec@1 46.875 (56.971) Prec@5 77.500 (85.077) Epoch: [86][4560/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.9056 (1.5949) Prec@1 51.875 (56.970) Prec@5 81.875 (85.076) Epoch: [86][4570/11272] Time 0.885 (0.793) Data 0.002 (0.002) Loss 1.5284 (1.5949) Prec@1 58.750 (56.967) Prec@5 83.125 (85.074) Epoch: [86][4580/11272] Time 0.995 (0.793) Data 0.002 (0.002) Loss 1.6211 (1.5948) Prec@1 55.625 (56.970) Prec@5 85.625 (85.077) Epoch: [86][4590/11272] Time 0.708 (0.793) Data 0.001 (0.002) Loss 1.7808 (1.5948) Prec@1 53.750 (56.970) Prec@5 84.375 (85.077) Epoch: [86][4600/11272] Time 0.750 (0.793) Data 0.002 (0.002) Loss 1.6661 (1.5948) Prec@1 55.625 (56.966) Prec@5 83.125 (85.076) Epoch: [86][4610/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.6032 (1.5947) Prec@1 60.000 (56.972) Prec@5 84.375 (85.079) Epoch: [86][4620/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.5409 (1.5948) Prec@1 58.125 (56.971) Prec@5 86.875 (85.076) Epoch: [86][4630/11272] Time 0.700 (0.793) Data 0.001 (0.002) Loss 1.7251 (1.5948) Prec@1 49.375 (56.969) Prec@5 86.250 (85.076) Epoch: [86][4640/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.9402 (1.5949) Prec@1 53.125 (56.968) Prec@5 78.125 (85.075) Epoch: [86][4650/11272] Time 0.875 (0.793) Data 0.001 (0.002) Loss 1.3994 (1.5949) Prec@1 66.250 (56.969) Prec@5 87.500 (85.074) Epoch: [86][4660/11272] Time 0.719 (0.793) Data 0.004 (0.002) Loss 1.4048 (1.5949) Prec@1 63.750 (56.968) Prec@5 88.125 (85.077) Epoch: [86][4670/11272] Time 0.745 (0.793) Data 0.001 (0.002) Loss 1.4984 (1.5948) Prec@1 62.500 (56.971) Prec@5 88.750 (85.079) Epoch: [86][4680/11272] Time 0.874 (0.793) Data 0.001 (0.002) Loss 1.4787 (1.5947) Prec@1 58.125 (56.972) Prec@5 88.125 (85.082) Epoch: [86][4690/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 1.5227 (1.5946) Prec@1 61.250 (56.972) Prec@5 86.250 (85.082) Epoch: [86][4700/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.6382 (1.5948) Prec@1 56.875 (56.967) Prec@5 84.375 (85.079) Epoch: [86][4710/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.6100 (1.5948) Prec@1 60.625 (56.967) Prec@5 85.000 (85.082) Epoch: [86][4720/11272] Time 0.865 (0.793) Data 0.002 (0.002) Loss 1.6518 (1.5949) Prec@1 55.000 (56.966) Prec@5 83.750 (85.081) Epoch: [86][4730/11272] Time 0.890 (0.793) Data 0.002 (0.002) Loss 1.6356 (1.5949) Prec@1 51.250 (56.964) Prec@5 85.000 (85.080) Epoch: [86][4740/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.4313 (1.5947) Prec@1 61.875 (56.970) Prec@5 87.500 (85.083) Epoch: [86][4750/11272] Time 0.746 (0.793) Data 0.002 (0.002) Loss 1.6827 (1.5946) Prec@1 58.750 (56.974) Prec@5 83.750 (85.086) Epoch: [86][4760/11272] Time 0.916 (0.793) Data 0.002 (0.002) Loss 1.8041 (1.5946) Prec@1 53.750 (56.974) Prec@5 79.375 (85.086) Epoch: [86][4770/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.7498 (1.5945) Prec@1 55.625 (56.973) Prec@5 83.125 (85.088) Epoch: [86][4780/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.3868 (1.5945) Prec@1 65.000 (56.974) Prec@5 88.750 (85.090) Epoch: [86][4790/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 1.4808 (1.5945) Prec@1 61.250 (56.973) Prec@5 85.625 (85.088) Epoch: [86][4800/11272] Time 0.888 (0.793) Data 0.002 (0.002) Loss 1.6786 (1.5947) Prec@1 55.625 (56.974) Prec@5 82.500 (85.086) Epoch: [86][4810/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.5281 (1.5947) Prec@1 59.375 (56.973) Prec@5 86.250 (85.087) Epoch: [86][4820/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.5847 (1.5947) Prec@1 56.875 (56.973) Prec@5 84.375 (85.087) Epoch: [86][4830/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.7373 (1.5949) Prec@1 54.375 (56.966) Prec@5 84.375 (85.083) Epoch: [86][4840/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.6421 (1.5950) Prec@1 54.375 (56.963) Prec@5 85.625 (85.082) Epoch: [86][4850/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.6040 (1.5951) Prec@1 52.500 (56.962) Prec@5 85.625 (85.083) Epoch: [86][4860/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.6331 (1.5951) Prec@1 53.125 (56.959) Prec@5 81.250 (85.081) Epoch: [86][4870/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.4753 (1.5949) Prec@1 58.125 (56.963) Prec@5 86.875 (85.085) Epoch: [86][4880/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.5354 (1.5950) Prec@1 61.250 (56.960) Prec@5 83.750 (85.084) Epoch: [86][4890/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.8325 (1.5950) Prec@1 53.750 (56.959) Prec@5 81.875 (85.085) Epoch: [86][4900/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.7738 (1.5951) Prec@1 50.000 (56.957) Prec@5 84.375 (85.086) Epoch: [86][4910/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.4652 (1.5952) Prec@1 65.625 (56.955) Prec@5 86.250 (85.085) Epoch: [86][4920/11272] Time 0.708 (0.793) Data 0.003 (0.002) Loss 1.5285 (1.5953) Prec@1 58.750 (56.951) Prec@5 86.875 (85.084) Epoch: [86][4930/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.8335 (1.5954) Prec@1 52.500 (56.950) Prec@5 82.500 (85.082) Epoch: [86][4940/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.5622 (1.5955) Prec@1 57.500 (56.948) Prec@5 85.625 (85.082) Epoch: [86][4950/11272] Time 0.817 (0.793) Data 0.001 (0.002) Loss 1.5223 (1.5956) Prec@1 61.250 (56.948) Prec@5 84.375 (85.081) Epoch: [86][4960/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.5965 (1.5956) Prec@1 58.125 (56.948) Prec@5 84.375 (85.079) Epoch: [86][4970/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.5550 (1.5957) Prec@1 51.250 (56.944) Prec@5 86.875 (85.079) Epoch: [86][4980/11272] Time 0.866 (0.793) Data 0.001 (0.002) Loss 1.6876 (1.5956) Prec@1 52.500 (56.945) Prec@5 80.625 (85.079) Epoch: [86][4990/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.4828 (1.5955) Prec@1 56.875 (56.945) Prec@5 86.875 (85.082) Epoch: [86][5000/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 1.6823 (1.5956) Prec@1 54.375 (56.945) Prec@5 83.750 (85.081) Epoch: [86][5010/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.5554 (1.5956) Prec@1 59.375 (56.944) Prec@5 83.750 (85.080) Epoch: [86][5020/11272] Time 0.867 (0.793) Data 0.002 (0.002) Loss 1.4408 (1.5956) Prec@1 63.125 (56.948) Prec@5 85.625 (85.081) Epoch: [86][5030/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 1.4595 (1.5957) Prec@1 63.125 (56.946) Prec@5 85.000 (85.077) Epoch: [86][5040/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.5759 (1.5957) Prec@1 60.000 (56.947) Prec@5 84.375 (85.079) Epoch: [86][5050/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.3622 (1.5955) Prec@1 61.875 (56.951) Prec@5 87.500 (85.082) Epoch: [86][5060/11272] Time 0.863 (0.793) Data 0.002 (0.002) Loss 1.6910 (1.5956) Prec@1 53.125 (56.947) Prec@5 85.625 (85.081) Epoch: [86][5070/11272] Time 0.776 (0.793) Data 0.002 (0.002) Loss 1.6616 (1.5956) Prec@1 51.875 (56.947) Prec@5 82.500 (85.082) Epoch: [86][5080/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.5349 (1.5956) Prec@1 57.500 (56.945) Prec@5 86.250 (85.081) Epoch: [86][5090/11272] Time 0.885 (0.793) Data 0.002 (0.002) Loss 1.5287 (1.5956) Prec@1 60.625 (56.944) Prec@5 84.375 (85.081) Epoch: [86][5100/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.6411 (1.5957) Prec@1 58.125 (56.945) Prec@5 83.750 (85.080) Epoch: [86][5110/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.5548 (1.5958) Prec@1 56.250 (56.941) Prec@5 84.375 (85.080) Epoch: [86][5120/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.5990 (1.5957) Prec@1 58.750 (56.945) Prec@5 86.250 (85.081) Epoch: [86][5130/11272] Time 0.873 (0.793) Data 0.001 (0.002) Loss 1.5953 (1.5957) Prec@1 57.500 (56.943) Prec@5 85.000 (85.079) Epoch: [86][5140/11272] Time 0.891 (0.793) Data 0.002 (0.002) Loss 1.3103 (1.5956) Prec@1 60.625 (56.947) Prec@5 90.625 (85.080) Epoch: [86][5150/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.5237 (1.5956) Prec@1 60.000 (56.947) Prec@5 84.375 (85.079) Epoch: [86][5160/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.7921 (1.5957) Prec@1 55.000 (56.948) Prec@5 81.250 (85.076) Epoch: [86][5170/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.5895 (1.5957) Prec@1 57.500 (56.945) Prec@5 85.625 (85.077) Epoch: [86][5180/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.3909 (1.5955) Prec@1 61.250 (56.948) Prec@5 87.500 (85.081) Epoch: [86][5190/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.7478 (1.5956) Prec@1 53.125 (56.946) Prec@5 83.125 (85.081) Epoch: [86][5200/11272] Time 0.821 (0.793) Data 0.002 (0.002) Loss 1.4588 (1.5957) Prec@1 60.625 (56.946) Prec@5 87.500 (85.079) Epoch: [86][5210/11272] Time 0.887 (0.793) Data 0.001 (0.002) Loss 1.7715 (1.5957) Prec@1 53.750 (56.946) Prec@5 80.000 (85.077) Epoch: [86][5220/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.4212 (1.5958) Prec@1 63.750 (56.945) Prec@5 87.500 (85.077) Epoch: [86][5230/11272] Time 0.709 (0.793) Data 0.001 (0.002) Loss 1.6271 (1.5960) Prec@1 55.625 (56.941) Prec@5 86.875 (85.075) Epoch: [86][5240/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.9166 (1.5961) Prec@1 47.500 (56.937) Prec@5 80.625 (85.074) Epoch: [86][5250/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 1.7764 (1.5962) Prec@1 51.250 (56.935) Prec@5 83.750 (85.074) Epoch: [86][5260/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.6776 (1.5961) Prec@1 55.625 (56.939) Prec@5 82.500 (85.074) Epoch: [86][5270/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.7687 (1.5964) Prec@1 50.000 (56.931) Prec@5 83.125 (85.068) Epoch: [86][5280/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.8064 (1.5964) Prec@1 55.000 (56.929) Prec@5 81.250 (85.067) Epoch: [86][5290/11272] Time 0.785 (0.793) Data 0.001 (0.002) Loss 1.6826 (1.5965) Prec@1 52.500 (56.929) Prec@5 83.750 (85.065) Epoch: [86][5300/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.3781 (1.5964) Prec@1 58.750 (56.931) Prec@5 88.125 (85.066) Epoch: [86][5310/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.2747 (1.5964) Prec@1 68.750 (56.934) Prec@5 90.000 (85.067) Epoch: [86][5320/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.6287 (1.5964) Prec@1 60.000 (56.933) Prec@5 83.750 (85.065) Epoch: [86][5330/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.5822 (1.5963) Prec@1 60.000 (56.937) Prec@5 86.875 (85.066) Epoch: [86][5340/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.6314 (1.5962) Prec@1 55.000 (56.938) Prec@5 88.125 (85.068) Epoch: [86][5350/11272] Time 0.806 (0.793) Data 0.001 (0.002) Loss 1.6076 (1.5962) Prec@1 53.750 (56.939) Prec@5 83.750 (85.068) Epoch: [86][5360/11272] Time 0.850 (0.793) Data 0.002 (0.002) Loss 1.4642 (1.5963) Prec@1 60.000 (56.940) Prec@5 86.250 (85.069) Epoch: [86][5370/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.5490 (1.5964) Prec@1 57.500 (56.941) Prec@5 85.000 (85.066) Epoch: [86][5380/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.6353 (1.5965) Prec@1 55.625 (56.937) Prec@5 83.125 (85.065) Epoch: [86][5390/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.7174 (1.5966) Prec@1 51.875 (56.936) Prec@5 83.125 (85.064) Epoch: [86][5400/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.7383 (1.5967) Prec@1 51.875 (56.934) Prec@5 82.500 (85.063) Epoch: [86][5410/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.6353 (1.5967) Prec@1 58.125 (56.934) Prec@5 84.375 (85.062) Epoch: [86][5420/11272] Time 0.697 (0.793) Data 0.001 (0.002) Loss 1.5916 (1.5967) Prec@1 56.875 (56.933) Prec@5 85.000 (85.062) Epoch: [86][5430/11272] Time 0.806 (0.793) Data 0.001 (0.002) Loss 1.3656 (1.5967) Prec@1 60.625 (56.934) Prec@5 90.000 (85.061) Epoch: [86][5440/11272] Time 0.993 (0.793) Data 0.002 (0.002) Loss 1.4642 (1.5967) Prec@1 63.125 (56.934) Prec@5 85.625 (85.060) Epoch: [86][5450/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.6941 (1.5967) Prec@1 57.500 (56.931) Prec@5 81.250 (85.057) Epoch: [86][5460/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.5020 (1.5967) Prec@1 55.625 (56.932) Prec@5 86.250 (85.056) Epoch: [86][5470/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.5959 (1.5968) Prec@1 58.750 (56.928) Prec@5 81.250 (85.056) Epoch: [86][5480/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.8409 (1.5969) Prec@1 53.125 (56.925) Prec@5 80.625 (85.054) Epoch: [86][5490/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.4848 (1.5970) Prec@1 64.375 (56.924) Prec@5 88.125 (85.055) Epoch: [86][5500/11272] Time 0.907 (0.793) Data 0.001 (0.002) Loss 1.5472 (1.5969) Prec@1 58.125 (56.925) Prec@5 83.125 (85.056) Epoch: [86][5510/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.2960 (1.5969) Prec@1 66.875 (56.922) Prec@5 89.375 (85.055) Epoch: [86][5520/11272] Time 0.734 (0.793) Data 0.001 (0.002) Loss 1.7279 (1.5970) Prec@1 52.500 (56.920) Prec@5 82.500 (85.054) Epoch: [86][5530/11272] Time 0.754 (0.793) Data 0.002 (0.002) Loss 1.7338 (1.5971) Prec@1 56.250 (56.918) Prec@5 81.875 (85.051) Epoch: [86][5540/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.3700 (1.5972) Prec@1 60.625 (56.915) Prec@5 88.125 (85.051) Epoch: [86][5550/11272] Time 0.829 (0.793) Data 0.002 (0.002) Loss 1.7261 (1.5973) Prec@1 52.500 (56.913) Prec@5 85.000 (85.049) Epoch: [86][5560/11272] Time 0.758 (0.793) Data 0.001 (0.002) Loss 1.5754 (1.5973) Prec@1 55.000 (56.910) Prec@5 85.000 (85.048) Epoch: [86][5570/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.7160 (1.5973) Prec@1 55.625 (56.910) Prec@5 83.125 (85.047) Epoch: [86][5580/11272] Time 0.889 (0.793) Data 0.001 (0.002) Loss 1.3796 (1.5973) Prec@1 61.250 (56.911) Prec@5 85.625 (85.048) Epoch: [86][5590/11272] Time 0.723 (0.793) Data 0.004 (0.002) Loss 1.7224 (1.5974) Prec@1 54.375 (56.909) Prec@5 77.500 (85.046) Epoch: [86][5600/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.7129 (1.5975) Prec@1 54.375 (56.906) Prec@5 83.750 (85.045) Epoch: [86][5610/11272] Time 0.809 (0.793) Data 0.002 (0.002) Loss 1.5153 (1.5976) Prec@1 62.500 (56.907) Prec@5 83.750 (85.043) Epoch: [86][5620/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.5373 (1.5975) Prec@1 60.000 (56.911) Prec@5 86.250 (85.042) Epoch: [86][5630/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.5191 (1.5975) Prec@1 60.000 (56.911) Prec@5 86.875 (85.043) Epoch: [86][5640/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.6765 (1.5976) Prec@1 55.625 (56.910) Prec@5 86.875 (85.041) Epoch: [86][5650/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.5070 (1.5977) Prec@1 56.250 (56.907) Prec@5 83.750 (85.038) Epoch: [86][5660/11272] Time 0.806 (0.793) Data 0.001 (0.002) Loss 1.5138 (1.5976) Prec@1 58.750 (56.907) Prec@5 83.125 (85.039) Epoch: [86][5670/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.6272 (1.5976) Prec@1 55.000 (56.907) Prec@5 86.875 (85.038) Epoch: [86][5680/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.5841 (1.5977) Prec@1 58.125 (56.905) Prec@5 85.625 (85.038) Epoch: [86][5690/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.5815 (1.5978) Prec@1 59.375 (56.905) Prec@5 84.375 (85.035) Epoch: [86][5700/11272] Time 0.791 (0.793) Data 0.001 (0.002) Loss 1.5253 (1.5978) Prec@1 60.000 (56.907) Prec@5 86.250 (85.034) Epoch: [86][5710/11272] Time 0.706 (0.793) Data 0.001 (0.002) Loss 1.7418 (1.5979) Prec@1 56.875 (56.903) Prec@5 81.875 (85.033) Epoch: [86][5720/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.5414 (1.5979) Prec@1 57.500 (56.905) Prec@5 88.750 (85.033) Epoch: [86][5730/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 1.8630 (1.5980) Prec@1 49.375 (56.902) Prec@5 81.875 (85.030) Epoch: [86][5740/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.6711 (1.5981) Prec@1 52.500 (56.899) Prec@5 84.375 (85.027) Epoch: [86][5750/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.5065 (1.5983) Prec@1 58.750 (56.895) Prec@5 83.125 (85.026) Epoch: [86][5760/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 1.6580 (1.5985) Prec@1 53.125 (56.891) Prec@5 83.750 (85.023) Epoch: [86][5770/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6620 (1.5984) Prec@1 51.875 (56.891) Prec@5 83.750 (85.025) Epoch: [86][5780/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.4304 (1.5984) Prec@1 61.250 (56.892) Prec@5 90.000 (85.025) Epoch: [86][5790/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.5727 (1.5985) Prec@1 56.875 (56.892) Prec@5 84.375 (85.024) Epoch: [86][5800/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.5819 (1.5985) Prec@1 56.875 (56.892) Prec@5 85.000 (85.024) Epoch: [86][5810/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 1.6518 (1.5985) Prec@1 56.250 (56.892) Prec@5 83.750 (85.025) Epoch: [86][5820/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 1.6676 (1.5984) Prec@1 58.750 (56.894) Prec@5 83.750 (85.025) Epoch: [86][5830/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.6101 (1.5984) Prec@1 55.625 (56.893) Prec@5 82.500 (85.028) Epoch: [86][5840/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.8837 (1.5985) Prec@1 48.750 (56.891) Prec@5 80.000 (85.026) Epoch: [86][5850/11272] Time 0.737 (0.793) Data 0.004 (0.002) Loss 1.7290 (1.5987) Prec@1 54.375 (56.888) Prec@5 81.875 (85.024) Epoch: [86][5860/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.5101 (1.5987) Prec@1 58.125 (56.889) Prec@5 85.000 (85.025) Epoch: [86][5870/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.7932 (1.5987) Prec@1 51.250 (56.888) Prec@5 80.625 (85.024) Epoch: [86][5880/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.5194 (1.5987) Prec@1 58.750 (56.890) Prec@5 81.250 (85.024) Epoch: [86][5890/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.5446 (1.5987) Prec@1 56.875 (56.888) Prec@5 88.125 (85.024) Epoch: [86][5900/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.8208 (1.5988) Prec@1 52.500 (56.887) Prec@5 81.250 (85.020) Epoch: [86][5910/11272] Time 0.818 (0.793) Data 0.001 (0.002) Loss 1.4581 (1.5988) Prec@1 59.375 (56.886) Prec@5 87.500 (85.021) Epoch: [86][5920/11272] Time 0.805 (0.793) Data 0.002 (0.002) Loss 1.7256 (1.5989) Prec@1 51.875 (56.887) Prec@5 84.375 (85.020) Epoch: [86][5930/11272] Time 0.711 (0.793) Data 0.001 (0.002) Loss 1.7080 (1.5989) Prec@1 55.625 (56.886) Prec@5 81.250 (85.019) Epoch: [86][5940/11272] Time 0.754 (0.793) Data 0.001 (0.002) Loss 1.7373 (1.5988) Prec@1 54.375 (56.890) Prec@5 80.000 (85.020) Epoch: [86][5950/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 1.5644 (1.5989) Prec@1 61.875 (56.887) Prec@5 85.000 (85.020) Epoch: [86][5960/11272] Time 0.840 (0.793) Data 0.002 (0.002) Loss 1.5889 (1.5989) Prec@1 53.750 (56.887) Prec@5 91.875 (85.021) Epoch: [86][5970/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.7869 (1.5990) Prec@1 51.250 (56.885) Prec@5 81.875 (85.021) Epoch: [86][5980/11272] Time 0.888 (0.793) Data 0.001 (0.002) Loss 1.6887 (1.5990) Prec@1 50.625 (56.882) Prec@5 84.375 (85.019) Epoch: [86][5990/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.5890 (1.5990) Prec@1 53.750 (56.882) Prec@5 88.125 (85.021) Epoch: [86][6000/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.7373 (1.5990) Prec@1 53.750 (56.883) Prec@5 84.375 (85.019) Epoch: [86][6010/11272] Time 0.740 (0.793) Data 0.001 (0.002) Loss 1.6185 (1.5991) Prec@1 56.875 (56.883) Prec@5 84.375 (85.019) Epoch: [86][6020/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.5493 (1.5991) Prec@1 60.625 (56.882) Prec@5 85.625 (85.018) Epoch: [86][6030/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.7273 (1.5992) Prec@1 53.125 (56.882) Prec@5 88.750 (85.018) Epoch: [86][6040/11272] Time 0.762 (0.793) Data 0.001 (0.002) Loss 1.6426 (1.5991) Prec@1 53.750 (56.883) Prec@5 85.625 (85.020) Epoch: [86][6050/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.5150 (1.5991) Prec@1 53.750 (56.882) Prec@5 87.500 (85.020) Epoch: [86][6060/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.5287 (1.5991) Prec@1 59.375 (56.885) Prec@5 83.125 (85.019) Epoch: [86][6070/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.5382 (1.5991) Prec@1 61.250 (56.885) Prec@5 85.625 (85.020) Epoch: [86][6080/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.8128 (1.5991) Prec@1 50.625 (56.884) Prec@5 81.250 (85.020) Epoch: [86][6090/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.6895 (1.5991) Prec@1 53.750 (56.886) Prec@5 87.500 (85.021) Epoch: [86][6100/11272] Time 0.867 (0.793) Data 0.002 (0.002) Loss 1.7773 (1.5990) Prec@1 51.875 (56.888) Prec@5 80.625 (85.021) Epoch: [86][6110/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.5982 (1.5991) Prec@1 58.125 (56.886) Prec@5 85.625 (85.021) Epoch: [86][6120/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.6285 (1.5991) Prec@1 59.375 (56.888) Prec@5 83.750 (85.022) Epoch: [86][6130/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6990 (1.5991) Prec@1 55.625 (56.887) Prec@5 82.500 (85.021) Epoch: [86][6140/11272] Time 0.823 (0.793) Data 0.002 (0.002) Loss 1.7729 (1.5992) Prec@1 52.500 (56.884) Prec@5 85.625 (85.019) Epoch: [86][6150/11272] Time 0.702 (0.793) Data 0.001 (0.002) Loss 1.5117 (1.5992) Prec@1 55.000 (56.885) Prec@5 88.125 (85.021) Epoch: [86][6160/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.6614 (1.5993) Prec@1 51.875 (56.883) Prec@5 83.125 (85.019) Epoch: [86][6170/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.4778 (1.5993) Prec@1 53.750 (56.881) Prec@5 86.875 (85.022) Epoch: [86][6180/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.6622 (1.5993) Prec@1 53.125 (56.877) Prec@5 84.375 (85.022) Epoch: [86][6190/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.5898 (1.5992) Prec@1 58.125 (56.878) Prec@5 85.000 (85.024) Epoch: [86][6200/11272] Time 0.752 (0.793) Data 0.002 (0.002) Loss 1.6010 (1.5994) Prec@1 53.750 (56.875) Prec@5 88.750 (85.023) Epoch: [86][6210/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.4513 (1.5995) Prec@1 58.125 (56.873) Prec@5 90.625 (85.021) Epoch: [86][6220/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 1.7477 (1.5996) Prec@1 55.625 (56.872) Prec@5 83.750 (85.019) Epoch: [86][6230/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.6157 (1.5997) Prec@1 56.250 (56.869) Prec@5 84.375 (85.020) Epoch: [86][6240/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.7614 (1.5998) Prec@1 48.125 (56.866) Prec@5 85.000 (85.020) Epoch: [86][6250/11272] Time 0.863 (0.793) Data 0.001 (0.002) Loss 1.5048 (1.5997) Prec@1 57.500 (56.868) Prec@5 88.750 (85.022) Epoch: [86][6260/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.6905 (1.5997) Prec@1 51.875 (56.866) Prec@5 86.250 (85.023) Epoch: [86][6270/11272] Time 0.762 (0.793) Data 0.001 (0.002) Loss 1.6908 (1.5999) Prec@1 56.250 (56.863) Prec@5 81.250 (85.019) Epoch: [86][6280/11272] Time 0.874 (0.793) Data 0.002 (0.002) Loss 1.7102 (1.5999) Prec@1 53.125 (56.864) Prec@5 86.875 (85.020) Epoch: [86][6290/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.5040 (1.5998) Prec@1 62.500 (56.866) Prec@5 87.500 (85.021) Epoch: [86][6300/11272] Time 0.704 (0.793) Data 0.002 (0.002) Loss 1.4114 (1.5996) Prec@1 60.000 (56.868) Prec@5 89.375 (85.023) Epoch: [86][6310/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.4191 (1.5995) Prec@1 60.625 (56.872) Prec@5 85.000 (85.025) Epoch: [86][6320/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.5426 (1.5995) Prec@1 56.875 (56.871) Prec@5 84.375 (85.023) Epoch: [86][6330/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.6321 (1.5995) Prec@1 58.125 (56.870) Prec@5 83.125 (85.023) Epoch: [86][6340/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.4273 (1.5994) Prec@1 61.250 (56.873) Prec@5 88.750 (85.025) Epoch: [86][6350/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 1.6613 (1.5995) Prec@1 56.875 (56.871) Prec@5 83.750 (85.026) Epoch: [86][6360/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.5690 (1.5994) Prec@1 53.125 (56.873) Prec@5 90.625 (85.027) Epoch: [86][6370/11272] Time 0.883 (0.793) Data 0.002 (0.002) Loss 1.5695 (1.5995) Prec@1 56.250 (56.872) Prec@5 85.000 (85.025) Epoch: [86][6380/11272] Time 0.766 (0.793) Data 0.001 (0.002) Loss 1.4545 (1.5995) Prec@1 63.125 (56.873) Prec@5 88.750 (85.023) Epoch: [86][6390/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.5174 (1.5995) Prec@1 55.000 (56.873) Prec@5 88.125 (85.025) Epoch: [86][6400/11272] Time 0.865 (0.793) Data 0.002 (0.002) Loss 1.5757 (1.5995) Prec@1 52.500 (56.873) Prec@5 88.750 (85.026) Epoch: [86][6410/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.7588 (1.5995) Prec@1 48.750 (56.873) Prec@5 83.125 (85.027) Epoch: [86][6420/11272] Time 0.746 (0.793) Data 0.002 (0.002) Loss 1.5706 (1.5995) Prec@1 58.750 (56.872) Prec@5 85.000 (85.027) Epoch: [86][6430/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.8202 (1.5995) Prec@1 52.500 (56.869) Prec@5 81.875 (85.028) Epoch: [86][6440/11272] Time 0.888 (0.793) Data 0.001 (0.002) Loss 1.4673 (1.5994) Prec@1 62.500 (56.872) Prec@5 88.750 (85.029) Epoch: [86][6450/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.8039 (1.5994) Prec@1 57.500 (56.874) Prec@5 81.250 (85.029) Epoch: [86][6460/11272] Time 0.747 (0.793) Data 0.002 (0.002) Loss 1.7100 (1.5995) Prec@1 53.125 (56.869) Prec@5 85.000 (85.030) Epoch: [86][6470/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 1.5826 (1.5995) Prec@1 53.750 (56.870) Prec@5 85.000 (85.030) Epoch: [86][6480/11272] Time 0.822 (0.793) Data 0.002 (0.002) Loss 1.5181 (1.5996) Prec@1 56.875 (56.868) Prec@5 86.250 (85.027) Epoch: [86][6490/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.6581 (1.5997) Prec@1 60.000 (56.866) Prec@5 81.250 (85.026) Epoch: [86][6500/11272] Time 0.742 (0.793) Data 0.001 (0.002) Loss 1.6482 (1.5996) Prec@1 55.625 (56.867) Prec@5 83.750 (85.027) Epoch: [86][6510/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.7442 (1.5996) Prec@1 56.875 (56.867) Prec@5 80.625 (85.027) Epoch: [86][6520/11272] Time 0.716 (0.793) Data 0.003 (0.002) Loss 1.4402 (1.5996) Prec@1 60.000 (56.865) Prec@5 85.625 (85.027) Epoch: [86][6530/11272] Time 0.751 (0.793) Data 0.001 (0.002) Loss 1.7086 (1.5996) Prec@1 56.250 (56.866) Prec@5 83.750 (85.027) Epoch: [86][6540/11272] Time 0.883 (0.793) Data 0.002 (0.002) Loss 1.5840 (1.5997) Prec@1 58.125 (56.863) Prec@5 86.250 (85.025) Epoch: [86][6550/11272] Time 0.849 (0.793) Data 0.001 (0.002) Loss 1.5750 (1.5998) Prec@1 55.625 (56.860) Prec@5 86.875 (85.025) Epoch: [86][6560/11272] Time 0.760 (0.793) Data 0.002 (0.002) Loss 1.5505 (1.5998) Prec@1 56.250 (56.861) Prec@5 87.500 (85.024) Epoch: [86][6570/11272] Time 0.750 (0.793) Data 0.001 (0.002) Loss 1.5337 (1.5998) Prec@1 60.000 (56.860) Prec@5 89.375 (85.024) Epoch: [86][6580/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 1.7255 (1.6000) Prec@1 50.000 (56.853) Prec@5 84.375 (85.022) Epoch: [86][6590/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.6151 (1.6000) Prec@1 54.375 (56.852) Prec@5 85.625 (85.022) Epoch: [86][6600/11272] Time 0.803 (0.793) Data 0.002 (0.002) Loss 1.6517 (1.6000) Prec@1 57.500 (56.854) Prec@5 86.250 (85.023) Epoch: [86][6610/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.2761 (1.5999) Prec@1 63.125 (56.855) Prec@5 90.000 (85.025) Epoch: [86][6620/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.8313 (1.6000) Prec@1 56.250 (56.854) Prec@5 81.250 (85.022) Epoch: [86][6630/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.7719 (1.6002) Prec@1 54.375 (56.850) Prec@5 83.125 (85.018) Epoch: [86][6640/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.8072 (1.6002) Prec@1 50.000 (56.849) Prec@5 83.750 (85.018) Epoch: [86][6650/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.8986 (1.6002) Prec@1 48.125 (56.850) Prec@5 78.750 (85.018) Epoch: [86][6660/11272] Time 0.886 (0.793) Data 0.002 (0.002) Loss 1.5106 (1.6002) Prec@1 59.375 (56.847) Prec@5 86.875 (85.017) Epoch: [86][6670/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.6498 (1.6003) Prec@1 56.250 (56.848) Prec@5 84.375 (85.017) Epoch: [86][6680/11272] Time 0.702 (0.793) Data 0.001 (0.002) Loss 1.5427 (1.6003) Prec@1 60.625 (56.847) Prec@5 85.625 (85.017) Epoch: [86][6690/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 1.7378 (1.6003) Prec@1 51.250 (56.847) Prec@5 86.250 (85.019) Epoch: [86][6700/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 1.6212 (1.6003) Prec@1 59.375 (56.845) Prec@5 85.000 (85.019) Epoch: [86][6710/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.6600 (1.6003) Prec@1 55.625 (56.843) Prec@5 82.500 (85.019) Epoch: [86][6720/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.5955 (1.6004) Prec@1 65.625 (56.843) Prec@5 83.750 (85.017) Epoch: [86][6730/11272] Time 0.902 (0.793) Data 0.001 (0.002) Loss 1.5587 (1.6004) Prec@1 61.250 (56.844) Prec@5 86.250 (85.017) Epoch: [86][6740/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 1.7886 (1.6003) Prec@1 53.750 (56.845) Prec@5 80.625 (85.017) Epoch: [86][6750/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 1.5171 (1.6003) Prec@1 59.375 (56.845) Prec@5 86.875 (85.016) Epoch: [86][6760/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.5245 (1.6003) Prec@1 55.625 (56.842) Prec@5 86.875 (85.016) Epoch: [86][6770/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.2740 (1.6004) Prec@1 65.625 (56.841) Prec@5 91.875 (85.016) Epoch: [86][6780/11272] Time 0.735 (0.793) Data 0.003 (0.002) Loss 1.5206 (1.6005) Prec@1 56.250 (56.840) Prec@5 87.500 (85.016) Epoch: [86][6790/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.9296 (1.6005) Prec@1 50.000 (56.838) Prec@5 81.250 (85.013) Epoch: [86][6800/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.7292 (1.6006) Prec@1 52.500 (56.835) Prec@5 81.875 (85.012) Epoch: [86][6810/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.6816 (1.6007) Prec@1 53.750 (56.832) Prec@5 83.125 (85.012) Epoch: [86][6820/11272] Time 0.747 (0.793) Data 0.001 (0.002) Loss 1.4256 (1.6007) Prec@1 60.000 (56.832) Prec@5 87.500 (85.011) Epoch: [86][6830/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.6024 (1.6006) Prec@1 56.875 (56.832) Prec@5 83.125 (85.011) Epoch: [86][6840/11272] Time 0.848 (0.793) Data 0.001 (0.002) Loss 1.6974 (1.6007) Prec@1 56.250 (56.833) Prec@5 79.375 (85.011) Epoch: [86][6850/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.7803 (1.6007) Prec@1 51.250 (56.831) Prec@5 86.250 (85.011) Epoch: [86][6860/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.5500 (1.6007) Prec@1 60.625 (56.831) Prec@5 88.125 (85.010) Epoch: [86][6870/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.5175 (1.6007) Prec@1 58.750 (56.831) Prec@5 84.375 (85.012) Epoch: [86][6880/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.7346 (1.6007) Prec@1 54.375 (56.831) Prec@5 85.000 (85.012) Epoch: [86][6890/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.5456 (1.6007) Prec@1 55.625 (56.830) Prec@5 83.750 (85.013) Epoch: [86][6900/11272] Time 0.715 (0.793) Data 0.002 (0.002) Loss 1.8618 (1.6007) Prec@1 49.375 (56.830) Prec@5 78.125 (85.011) Epoch: [86][6910/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 1.5010 (1.6007) Prec@1 56.250 (56.830) Prec@5 86.875 (85.012) Epoch: [86][6920/11272] Time 0.859 (0.793) Data 0.002 (0.002) Loss 1.6485 (1.6008) Prec@1 56.250 (56.828) Prec@5 85.000 (85.010) Epoch: [86][6930/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.3755 (1.6007) Prec@1 61.250 (56.829) Prec@5 90.000 (85.011) Epoch: [86][6940/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.5545 (1.6008) Prec@1 56.875 (56.827) Prec@5 86.250 (85.011) Epoch: [86][6950/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.4430 (1.6008) Prec@1 60.000 (56.827) Prec@5 88.125 (85.011) Epoch: [86][6960/11272] Time 0.966 (0.793) Data 0.002 (0.002) Loss 1.8394 (1.6008) Prec@1 47.500 (56.826) Prec@5 79.375 (85.011) Epoch: [86][6970/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.5249 (1.6010) Prec@1 59.375 (56.824) Prec@5 87.500 (85.010) Epoch: [86][6980/11272] Time 0.699 (0.793) Data 0.001 (0.002) Loss 1.4189 (1.6009) Prec@1 58.125 (56.824) Prec@5 88.750 (85.012) Epoch: [86][6990/11272] Time 0.901 (0.793) Data 0.001 (0.002) Loss 1.4910 (1.6011) Prec@1 61.250 (56.821) Prec@5 86.250 (85.009) Epoch: [86][7000/11272] Time 0.852 (0.793) Data 0.001 (0.002) Loss 1.7013 (1.6012) Prec@1 53.750 (56.818) Prec@5 81.875 (85.007) Epoch: [86][7010/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.4874 (1.6012) Prec@1 59.375 (56.818) Prec@5 87.500 (85.007) Epoch: [86][7020/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.6364 (1.6012) Prec@1 53.750 (56.815) Prec@5 84.375 (85.007) Epoch: [86][7030/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.5674 (1.6013) Prec@1 55.000 (56.813) Prec@5 86.250 (85.007) Epoch: [86][7040/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.7057 (1.6013) Prec@1 56.250 (56.812) Prec@5 83.750 (85.008) Epoch: [86][7050/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6389 (1.6013) Prec@1 56.875 (56.813) Prec@5 85.625 (85.009) Epoch: [86][7060/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 1.7418 (1.6012) Prec@1 55.000 (56.815) Prec@5 84.375 (85.012) Epoch: [86][7070/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.6873 (1.6012) Prec@1 53.750 (56.816) Prec@5 82.500 (85.013) Epoch: [86][7080/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.6021 (1.6012) Prec@1 57.500 (56.817) Prec@5 86.250 (85.014) Epoch: [86][7090/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.6051 (1.6012) Prec@1 57.500 (56.818) Prec@5 85.625 (85.014) Epoch: [86][7100/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.8475 (1.6012) Prec@1 56.875 (56.816) Prec@5 80.000 (85.014) Epoch: [86][7110/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.4845 (1.6012) Prec@1 59.375 (56.816) Prec@5 88.750 (85.015) Epoch: [86][7120/11272] Time 0.758 (0.793) Data 0.001 (0.002) Loss 1.4365 (1.6012) Prec@1 55.000 (56.815) Prec@5 91.250 (85.016) Epoch: [86][7130/11272] Time 0.711 (0.793) Data 0.003 (0.002) Loss 1.4991 (1.6011) Prec@1 63.125 (56.818) Prec@5 84.375 (85.019) Epoch: [86][7140/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6685 (1.6011) Prec@1 53.750 (56.816) Prec@5 80.625 (85.018) Epoch: [86][7150/11272] Time 0.804 (0.793) Data 0.001 (0.002) Loss 1.5543 (1.6012) Prec@1 60.625 (56.815) Prec@5 85.625 (85.017) Epoch: [86][7160/11272] Time 0.735 (0.793) Data 0.002 (0.002) Loss 1.5309 (1.6012) Prec@1 59.375 (56.817) Prec@5 88.125 (85.017) Epoch: [86][7170/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.5327 (1.6013) Prec@1 61.250 (56.815) Prec@5 86.250 (85.015) Epoch: [86][7180/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 1.5987 (1.6012) Prec@1 58.125 (56.816) Prec@5 86.250 (85.017) Epoch: [86][7190/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.6710 (1.6013) Prec@1 53.750 (56.817) Prec@5 85.625 (85.015) Epoch: [86][7200/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.7189 (1.6013) Prec@1 51.875 (56.818) Prec@5 84.375 (85.017) Epoch: [86][7210/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.5566 (1.6013) Prec@1 56.250 (56.815) Prec@5 85.625 (85.015) Epoch: [86][7220/11272] Time 0.853 (0.793) Data 0.001 (0.002) Loss 1.6297 (1.6013) Prec@1 55.625 (56.817) Prec@5 85.625 (85.016) Epoch: [86][7230/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.6573 (1.6012) Prec@1 56.250 (56.820) Prec@5 85.000 (85.017) Epoch: [86][7240/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.6407 (1.6013) Prec@1 57.500 (56.817) Prec@5 86.875 (85.017) Epoch: [86][7250/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.4347 (1.6013) Prec@1 62.500 (56.818) Prec@5 88.750 (85.017) Epoch: [86][7260/11272] Time 0.913 (0.793) Data 0.002 (0.002) Loss 1.6087 (1.6014) Prec@1 55.625 (56.814) Prec@5 85.625 (85.016) Epoch: [86][7270/11272] Time 0.769 (0.793) Data 0.002 (0.002) Loss 1.6082 (1.6013) Prec@1 56.250 (56.815) Prec@5 85.625 (85.017) Epoch: [86][7280/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.4108 (1.6014) Prec@1 62.500 (56.814) Prec@5 90.625 (85.017) Epoch: [86][7290/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.4128 (1.6016) Prec@1 65.625 (56.813) Prec@5 86.875 (85.014) Epoch: [86][7300/11272] Time 0.892 (0.793) Data 0.002 (0.002) Loss 1.4034 (1.6015) Prec@1 59.375 (56.813) Prec@5 86.875 (85.015) Epoch: [86][7310/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.8319 (1.6017) Prec@1 55.625 (56.811) Prec@5 81.875 (85.013) Epoch: [86][7320/11272] Time 0.878 (0.793) Data 0.001 (0.002) Loss 1.7552 (1.6016) Prec@1 53.125 (56.813) Prec@5 79.375 (85.014) Epoch: [86][7330/11272] Time 0.813 (0.793) Data 0.001 (0.002) Loss 1.3358 (1.6017) Prec@1 63.125 (56.811) Prec@5 86.250 (85.012) Epoch: [86][7340/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.5941 (1.6017) Prec@1 51.875 (56.810) Prec@5 87.500 (85.011) Epoch: [86][7350/11272] Time 0.723 (0.793) Data 0.001 (0.002) Loss 1.5079 (1.6016) Prec@1 59.375 (56.813) Prec@5 85.625 (85.013) Epoch: [86][7360/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.3892 (1.6017) Prec@1 63.125 (56.812) Prec@5 87.500 (85.011) Epoch: [86][7370/11272] Time 0.830 (0.793) Data 0.001 (0.002) Loss 1.5084 (1.6017) Prec@1 56.250 (56.812) Prec@5 86.875 (85.011) Epoch: [86][7380/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.7620 (1.6017) Prec@1 50.625 (56.808) Prec@5 84.375 (85.012) Epoch: [86][7390/11272] Time 0.738 (0.793) Data 0.002 (0.002) Loss 1.6830 (1.6018) Prec@1 51.875 (56.806) Prec@5 85.625 (85.010) Epoch: [86][7400/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.6301 (1.6018) Prec@1 59.375 (56.807) Prec@5 83.125 (85.009) Epoch: [86][7410/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.4414 (1.6019) Prec@1 63.750 (56.803) Prec@5 89.375 (85.008) Epoch: [86][7420/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.5820 (1.6019) Prec@1 55.625 (56.803) Prec@5 83.750 (85.008) Epoch: [86][7430/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.6287 (1.6019) Prec@1 58.125 (56.802) Prec@5 85.625 (85.008) Epoch: [86][7440/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.8734 (1.6020) Prec@1 50.625 (56.802) Prec@5 79.375 (85.008) Epoch: [86][7450/11272] Time 0.721 (0.793) Data 0.003 (0.002) Loss 1.6479 (1.6021) Prec@1 59.375 (56.800) Prec@5 80.625 (85.005) Epoch: [86][7460/11272] Time 0.716 (0.793) Data 0.001 (0.002) Loss 1.6341 (1.6021) Prec@1 50.000 (56.798) Prec@5 85.625 (85.005) Epoch: [86][7470/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.5525 (1.6021) Prec@1 58.125 (56.797) Prec@5 83.750 (85.006) Epoch: [86][7480/11272] Time 0.834 (0.793) Data 0.002 (0.002) Loss 1.6357 (1.6022) Prec@1 51.875 (56.795) Prec@5 85.625 (85.004) Epoch: [86][7490/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.5744 (1.6022) Prec@1 56.250 (56.797) Prec@5 85.625 (85.004) Epoch: [86][7500/11272] Time 0.711 (0.793) Data 0.002 (0.002) Loss 1.5973 (1.6022) Prec@1 56.875 (56.798) Prec@5 85.625 (85.003) Epoch: [86][7510/11272] Time 0.847 (0.793) Data 0.002 (0.002) Loss 1.6122 (1.6021) Prec@1 55.000 (56.798) Prec@5 88.125 (85.004) Epoch: [86][7520/11272] Time 0.819 (0.793) Data 0.002 (0.002) Loss 1.6107 (1.6022) Prec@1 60.000 (56.799) Prec@5 85.625 (85.005) Epoch: [86][7530/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.6531 (1.6022) Prec@1 60.625 (56.798) Prec@5 84.375 (85.005) Epoch: [86][7540/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.6802 (1.6022) Prec@1 54.375 (56.798) Prec@5 85.625 (85.005) Epoch: [86][7550/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.7474 (1.6023) Prec@1 57.500 (56.796) Prec@5 83.750 (85.004) Epoch: [86][7560/11272] Time 0.808 (0.793) Data 0.002 (0.002) Loss 1.5740 (1.6023) Prec@1 57.500 (56.796) Prec@5 86.875 (85.004) Epoch: [86][7570/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.7211 (1.6023) Prec@1 60.000 (56.796) Prec@5 81.250 (85.004) Epoch: [86][7580/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 1.4728 (1.6023) Prec@1 58.750 (56.797) Prec@5 90.625 (85.005) Epoch: [86][7590/11272] Time 0.844 (0.793) Data 0.002 (0.002) Loss 1.6723 (1.6024) Prec@1 55.625 (56.797) Prec@5 85.000 (85.005) Epoch: [86][7600/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.6518 (1.6024) Prec@1 56.250 (56.796) Prec@5 85.625 (85.005) Epoch: [86][7610/11272] Time 0.756 (0.793) Data 0.001 (0.002) Loss 1.5254 (1.6025) Prec@1 60.625 (56.797) Prec@5 84.375 (85.004) Epoch: [86][7620/11272] Time 0.876 (0.793) Data 0.001 (0.002) Loss 1.5888 (1.6024) Prec@1 58.750 (56.797) Prec@5 86.250 (85.005) Epoch: [86][7630/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 1.7515 (1.6026) Prec@1 51.250 (56.793) Prec@5 84.375 (85.004) Epoch: [86][7640/11272] Time 0.754 (0.793) Data 0.002 (0.002) Loss 1.7332 (1.6026) Prec@1 56.875 (56.794) Prec@5 83.750 (85.002) Epoch: [86][7650/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.5634 (1.6027) Prec@1 54.375 (56.791) Prec@5 85.000 (85.001) Epoch: [86][7660/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.6703 (1.6027) Prec@1 51.875 (56.791) Prec@5 83.750 (85.001) Epoch: [86][7670/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 1.5414 (1.6027) Prec@1 59.375 (56.794) Prec@5 85.000 (85.000) Epoch: [86][7680/11272] Time 0.771 (0.793) Data 0.001 (0.002) Loss 1.7939 (1.6027) Prec@1 56.250 (56.795) Prec@5 81.875 (84.997) Epoch: [86][7690/11272] Time 0.765 (0.793) Data 0.002 (0.002) Loss 1.5983 (1.6028) Prec@1 63.125 (56.793) Prec@5 83.750 (84.996) Epoch: [86][7700/11272] Time 0.799 (0.793) Data 0.001 (0.002) Loss 1.8000 (1.6029) Prec@1 54.375 (56.791) Prec@5 79.375 (84.995) Epoch: [86][7710/11272] Time 0.704 (0.793) Data 0.003 (0.002) Loss 1.5290 (1.6030) Prec@1 58.750 (56.789) Prec@5 86.250 (84.994) Epoch: [86][7720/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.7480 (1.6030) Prec@1 52.500 (56.790) Prec@5 83.750 (84.994) Epoch: [86][7730/11272] Time 0.854 (0.793) Data 0.001 (0.002) Loss 1.7961 (1.6031) Prec@1 58.750 (56.789) Prec@5 80.000 (84.993) Epoch: [86][7740/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.6291 (1.6031) Prec@1 54.375 (56.787) Prec@5 86.250 (84.993) Epoch: [86][7750/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.5930 (1.6031) Prec@1 56.875 (56.786) Prec@5 86.250 (84.993) Epoch: [86][7760/11272] Time 0.709 (0.793) Data 0.002 (0.002) Loss 1.5891 (1.6031) Prec@1 57.500 (56.786) Prec@5 83.750 (84.993) Epoch: [86][7770/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.4876 (1.6032) Prec@1 58.125 (56.787) Prec@5 87.500 (84.993) Epoch: [86][7780/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.4812 (1.6032) Prec@1 60.625 (56.787) Prec@5 85.000 (84.994) Epoch: [86][7790/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.4445 (1.6032) Prec@1 58.750 (56.787) Prec@5 85.625 (84.995) Epoch: [86][7800/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.7901 (1.6032) Prec@1 48.750 (56.786) Prec@5 83.125 (84.995) Epoch: [86][7810/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.4837 (1.6032) Prec@1 59.375 (56.786) Prec@5 82.500 (84.996) Epoch: [86][7820/11272] Time 0.870 (0.793) Data 0.001 (0.002) Loss 1.6526 (1.6033) Prec@1 56.875 (56.784) Prec@5 83.750 (84.995) Epoch: [86][7830/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.7155 (1.6033) Prec@1 51.250 (56.781) Prec@5 82.500 (84.995) Epoch: [86][7840/11272] Time 0.837 (0.793) Data 0.003 (0.002) Loss 1.5996 (1.6034) Prec@1 56.250 (56.779) Prec@5 84.375 (84.993) Epoch: [86][7850/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.4178 (1.6034) Prec@1 61.875 (56.780) Prec@5 90.625 (84.994) Epoch: [86][7860/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.6392 (1.6034) Prec@1 60.625 (56.782) Prec@5 83.750 (84.995) Epoch: [86][7870/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.4747 (1.6034) Prec@1 53.750 (56.782) Prec@5 85.000 (84.995) Epoch: [86][7880/11272] Time 0.893 (0.793) Data 0.002 (0.002) Loss 1.5985 (1.6034) Prec@1 54.375 (56.780) Prec@5 87.500 (84.994) Epoch: [86][7890/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.8333 (1.6034) Prec@1 51.875 (56.779) Prec@5 80.625 (84.994) Epoch: [86][7900/11272] Time 0.759 (0.793) Data 0.001 (0.002) Loss 1.7127 (1.6035) Prec@1 53.750 (56.778) Prec@5 85.000 (84.993) Epoch: [86][7910/11272] Time 0.706 (0.793) Data 0.001 (0.002) Loss 1.5392 (1.6035) Prec@1 58.125 (56.780) Prec@5 85.000 (84.995) Epoch: [86][7920/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 1.4218 (1.6035) Prec@1 60.000 (56.779) Prec@5 88.750 (84.996) Epoch: [86][7930/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 1.8387 (1.6035) Prec@1 50.000 (56.777) Prec@5 81.250 (84.996) Epoch: [86][7940/11272] Time 0.742 (0.793) Data 0.002 (0.002) Loss 1.6119 (1.6036) Prec@1 56.250 (56.776) Prec@5 85.000 (84.995) Epoch: [86][7950/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.6099 (1.6036) Prec@1 55.625 (56.775) Prec@5 84.375 (84.995) Epoch: [86][7960/11272] Time 0.857 (0.793) Data 0.002 (0.002) Loss 1.8276 (1.6037) Prec@1 53.750 (56.776) Prec@5 84.375 (84.993) Epoch: [86][7970/11272] Time 0.839 (0.793) Data 0.001 (0.002) Loss 1.7176 (1.6036) Prec@1 55.000 (56.779) Prec@5 80.000 (84.994) Epoch: [86][7980/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.7395 (1.6036) Prec@1 55.000 (56.779) Prec@5 82.500 (84.993) Epoch: [86][7990/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.8333 (1.6037) Prec@1 55.000 (56.779) Prec@5 78.125 (84.991) Epoch: [86][8000/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.4456 (1.6037) Prec@1 54.375 (56.777) Prec@5 88.125 (84.991) Epoch: [86][8010/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.7659 (1.6037) Prec@1 53.750 (56.777) Prec@5 80.000 (84.991) Epoch: [86][8020/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.5138 (1.6037) Prec@1 54.375 (56.775) Prec@5 88.125 (84.992) Epoch: [86][8030/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.4744 (1.6038) Prec@1 58.125 (56.773) Prec@5 89.375 (84.990) Epoch: [86][8040/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.6056 (1.6038) Prec@1 61.250 (56.773) Prec@5 82.500 (84.990) Epoch: [86][8050/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.4920 (1.6039) Prec@1 62.500 (56.772) Prec@5 86.875 (84.989) Epoch: [86][8060/11272] Time 0.740 (0.793) Data 0.002 (0.002) Loss 1.4954 (1.6039) Prec@1 59.375 (56.773) Prec@5 85.625 (84.989) Epoch: [86][8070/11272] Time 0.844 (0.793) Data 0.001 (0.002) Loss 1.4351 (1.6039) Prec@1 59.375 (56.775) Prec@5 85.625 (84.987) Epoch: [86][8080/11272] Time 0.884 (0.793) Data 0.001 (0.002) Loss 1.6511 (1.6038) Prec@1 60.000 (56.777) Prec@5 83.125 (84.988) Epoch: [86][8090/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.9696 (1.6038) Prec@1 44.375 (56.775) Prec@5 78.750 (84.987) Epoch: [86][8100/11272] Time 0.759 (0.793) Data 0.001 (0.002) Loss 1.6637 (1.6039) Prec@1 60.000 (56.775) Prec@5 81.250 (84.985) Epoch: [86][8110/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.8477 (1.6039) Prec@1 53.750 (56.776) Prec@5 83.125 (84.986) Epoch: [86][8120/11272] Time 0.733 (0.793) Data 0.002 (0.002) Loss 1.6019 (1.6039) Prec@1 59.375 (56.776) Prec@5 83.750 (84.984) Epoch: [86][8130/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.4507 (1.6040) Prec@1 60.625 (56.776) Prec@5 88.125 (84.984) Epoch: [86][8140/11272] Time 0.888 (0.793) Data 0.003 (0.002) Loss 1.4859 (1.6040) Prec@1 60.625 (56.778) Prec@5 86.875 (84.983) Epoch: [86][8150/11272] Time 0.891 (0.793) Data 0.002 (0.002) Loss 1.8558 (1.6041) Prec@1 55.625 (56.774) Prec@5 76.250 (84.980) Epoch: [86][8160/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.8358 (1.6042) Prec@1 50.625 (56.772) Prec@5 83.125 (84.978) Epoch: [86][8170/11272] Time 0.749 (0.793) Data 0.001 (0.002) Loss 1.6482 (1.6042) Prec@1 55.000 (56.774) Prec@5 83.125 (84.978) Epoch: [86][8180/11272] Time 0.870 (0.793) Data 0.002 (0.002) Loss 1.4815 (1.6043) Prec@1 57.500 (56.772) Prec@5 86.875 (84.975) Epoch: [86][8190/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.4314 (1.6042) Prec@1 61.875 (56.773) Prec@5 85.625 (84.977) Epoch: [86][8200/11272] Time 0.789 (0.793) Data 0.002 (0.002) Loss 1.7015 (1.6043) Prec@1 52.500 (56.773) Prec@5 84.375 (84.977) Epoch: [86][8210/11272] Time 0.757 (0.793) Data 0.001 (0.002) Loss 1.5775 (1.6042) Prec@1 57.500 (56.774) Prec@5 86.250 (84.978) Epoch: [86][8220/11272] Time 0.864 (0.793) Data 0.002 (0.002) Loss 1.6122 (1.6041) Prec@1 53.125 (56.775) Prec@5 86.250 (84.979) Epoch: [86][8230/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.5857 (1.6041) Prec@1 56.250 (56.774) Prec@5 85.000 (84.979) Epoch: [86][8240/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.5713 (1.6042) Prec@1 60.625 (56.771) Prec@5 85.000 (84.978) Epoch: [86][8250/11272] Time 0.939 (0.793) Data 0.001 (0.002) Loss 1.6757 (1.6042) Prec@1 53.750 (56.771) Prec@5 85.625 (84.979) Epoch: [86][8260/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.7438 (1.6042) Prec@1 48.125 (56.767) Prec@5 83.125 (84.978) Epoch: [86][8270/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.5345 (1.6042) Prec@1 55.625 (56.768) Prec@5 86.250 (84.979) Epoch: [86][8280/11272] Time 0.807 (0.793) Data 0.002 (0.002) Loss 1.7072 (1.6042) Prec@1 56.875 (56.767) Prec@5 80.000 (84.978) Epoch: [86][8290/11272] Time 0.878 (0.793) Data 0.002 (0.002) Loss 1.6143 (1.6042) Prec@1 55.625 (56.767) Prec@5 83.125 (84.979) Epoch: [86][8300/11272] Time 0.931 (0.793) Data 0.001 (0.002) Loss 1.6030 (1.6042) Prec@1 58.125 (56.768) Prec@5 80.625 (84.978) Epoch: [86][8310/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.6714 (1.6043) Prec@1 56.875 (56.767) Prec@5 82.500 (84.977) Epoch: [86][8320/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.6416 (1.6044) Prec@1 58.750 (56.764) Prec@5 84.375 (84.976) Epoch: [86][8330/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.4623 (1.6044) Prec@1 60.625 (56.764) Prec@5 86.875 (84.975) Epoch: [86][8340/11272] Time 0.879 (0.793) Data 0.001 (0.002) Loss 1.5351 (1.6044) Prec@1 56.875 (56.765) Prec@5 84.375 (84.975) Epoch: [86][8350/11272] Time 0.743 (0.793) Data 0.001 (0.002) Loss 1.5781 (1.6044) Prec@1 55.000 (56.764) Prec@5 85.625 (84.976) Epoch: [86][8360/11272] Time 0.706 (0.793) Data 0.001 (0.002) Loss 1.5519 (1.6044) Prec@1 61.875 (56.763) Prec@5 86.875 (84.977) Epoch: [86][8370/11272] Time 0.826 (0.793) Data 0.001 (0.002) Loss 1.5127 (1.6044) Prec@1 55.625 (56.763) Prec@5 89.375 (84.979) Epoch: [86][8380/11272] Time 0.725 (0.793) Data 0.004 (0.002) Loss 1.8409 (1.6045) Prec@1 48.750 (56.761) Prec@5 83.125 (84.976) Epoch: [86][8390/11272] Time 0.705 (0.793) Data 0.001 (0.002) Loss 1.5843 (1.6045) Prec@1 56.250 (56.761) Prec@5 85.000 (84.975) Epoch: [86][8400/11272] Time 0.916 (0.793) Data 0.002 (0.002) Loss 1.3494 (1.6044) Prec@1 65.625 (56.762) Prec@5 90.000 (84.978) Epoch: [86][8410/11272] Time 0.846 (0.793) Data 0.002 (0.002) Loss 1.7243 (1.6045) Prec@1 52.500 (56.759) Prec@5 85.000 (84.977) Epoch: [86][8420/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.4295 (1.6044) Prec@1 59.375 (56.760) Prec@5 88.125 (84.979) Epoch: [86][8430/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.3722 (1.6044) Prec@1 61.250 (56.761) Prec@5 88.750 (84.979) Epoch: [86][8440/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.3197 (1.6044) Prec@1 63.750 (56.760) Prec@5 88.125 (84.979) Epoch: [86][8450/11272] Time 0.858 (0.793) Data 0.001 (0.002) Loss 1.8010 (1.6045) Prec@1 53.125 (56.760) Prec@5 78.125 (84.978) Epoch: [86][8460/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.4226 (1.6044) Prec@1 56.250 (56.762) Prec@5 91.875 (84.980) Epoch: [86][8470/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 1.5056 (1.6044) Prec@1 56.250 (56.761) Prec@5 85.000 (84.980) Epoch: [86][8480/11272] Time 0.901 (0.793) Data 0.001 (0.002) Loss 1.3369 (1.6044) Prec@1 62.500 (56.760) Prec@5 91.250 (84.979) Epoch: [86][8490/11272] Time 0.863 (0.793) Data 0.002 (0.002) Loss 1.7292 (1.6044) Prec@1 51.875 (56.758) Prec@5 81.875 (84.979) Epoch: [86][8500/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.4612 (1.6044) Prec@1 58.125 (56.758) Prec@5 86.250 (84.978) Epoch: [86][8510/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.5009 (1.6044) Prec@1 56.250 (56.757) Prec@5 86.875 (84.979) Epoch: [86][8520/11272] Time 0.900 (0.793) Data 0.002 (0.002) Loss 1.5810 (1.6043) Prec@1 58.125 (56.758) Prec@5 86.250 (84.980) Epoch: [86][8530/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.6241 (1.6043) Prec@1 56.875 (56.760) Prec@5 85.625 (84.982) Epoch: [86][8540/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.7568 (1.6043) Prec@1 51.875 (56.758) Prec@5 82.500 (84.981) Epoch: [86][8550/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.7601 (1.6043) Prec@1 53.125 (56.757) Prec@5 84.375 (84.982) Epoch: [86][8560/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.5583 (1.6043) Prec@1 59.375 (56.758) Prec@5 86.875 (84.982) Epoch: [86][8570/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.7390 (1.6044) Prec@1 50.000 (56.755) Prec@5 81.875 (84.981) Epoch: [86][8580/11272] Time 0.736 (0.793) Data 0.001 (0.002) Loss 1.4258 (1.6043) Prec@1 61.875 (56.758) Prec@5 87.500 (84.983) Epoch: [86][8590/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.6556 (1.6043) Prec@1 56.875 (56.759) Prec@5 88.125 (84.983) Epoch: [86][8600/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.4545 (1.6042) Prec@1 60.625 (56.762) Prec@5 86.250 (84.984) Epoch: [86][8610/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.6520 (1.6042) Prec@1 57.500 (56.762) Prec@5 81.875 (84.983) Epoch: [86][8620/11272] Time 0.774 (0.793) Data 0.002 (0.002) Loss 1.4862 (1.6042) Prec@1 60.625 (56.763) Prec@5 86.875 (84.984) Epoch: [86][8630/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 1.6429 (1.6042) Prec@1 55.625 (56.763) Prec@5 83.125 (84.984) Epoch: [86][8640/11272] Time 0.727 (0.793) Data 0.003 (0.002) Loss 1.5259 (1.6041) Prec@1 56.250 (56.761) Prec@5 85.625 (84.985) Epoch: [86][8650/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.8101 (1.6041) Prec@1 51.250 (56.761) Prec@5 80.000 (84.985) Epoch: [86][8660/11272] Time 0.928 (0.793) Data 0.002 (0.002) Loss 1.4164 (1.6041) Prec@1 62.500 (56.761) Prec@5 85.000 (84.985) Epoch: [86][8670/11272] Time 0.810 (0.793) Data 0.001 (0.002) Loss 1.6743 (1.6041) Prec@1 51.875 (56.760) Prec@5 85.625 (84.986) Epoch: [86][8680/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7352 (1.6041) Prec@1 58.750 (56.762) Prec@5 80.625 (84.985) Epoch: [86][8690/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.6016 (1.6041) Prec@1 58.750 (56.761) Prec@5 84.375 (84.985) Epoch: [86][8700/11272] Time 0.868 (0.793) Data 0.002 (0.002) Loss 1.5554 (1.6041) Prec@1 60.625 (56.761) Prec@5 84.375 (84.985) Epoch: [86][8710/11272] Time 0.798 (0.793) Data 0.002 (0.002) Loss 1.5504 (1.6041) Prec@1 54.375 (56.760) Prec@5 89.375 (84.986) Epoch: [86][8720/11272] Time 0.739 (0.793) Data 0.002 (0.002) Loss 1.5335 (1.6040) Prec@1 55.000 (56.760) Prec@5 88.750 (84.987) Epoch: [86][8730/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5795 (1.6040) Prec@1 56.875 (56.761) Prec@5 87.500 (84.989) Epoch: [86][8740/11272] Time 0.952 (0.793) Data 0.001 (0.002) Loss 1.3821 (1.6040) Prec@1 63.750 (56.761) Prec@5 87.500 (84.989) Epoch: [86][8750/11272] Time 0.841 (0.793) Data 0.001 (0.002) Loss 1.3903 (1.6041) Prec@1 59.375 (56.758) Prec@5 89.375 (84.989) Epoch: [86][8760/11272] Time 0.737 (0.793) Data 0.002 (0.002) Loss 1.6306 (1.6041) Prec@1 59.375 (56.755) Prec@5 83.750 (84.989) Epoch: [86][8770/11272] Time 0.855 (0.793) Data 0.001 (0.002) Loss 1.5178 (1.6041) Prec@1 58.750 (56.756) Prec@5 88.125 (84.990) Epoch: [86][8780/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.5270 (1.6041) Prec@1 61.875 (56.756) Prec@5 86.250 (84.990) Epoch: [86][8790/11272] Time 0.746 (0.793) Data 0.001 (0.002) Loss 1.5022 (1.6041) Prec@1 55.625 (56.756) Prec@5 89.375 (84.991) Epoch: [86][8800/11272] Time 0.762 (0.793) Data 0.001 (0.002) Loss 1.5208 (1.6041) Prec@1 58.750 (56.756) Prec@5 85.625 (84.991) Epoch: [86][8810/11272] Time 0.863 (0.793) Data 0.001 (0.002) Loss 1.4913 (1.6040) Prec@1 59.375 (56.758) Prec@5 86.250 (84.991) Epoch: [86][8820/11272] Time 0.876 (0.793) Data 0.001 (0.002) Loss 1.6422 (1.6040) Prec@1 58.750 (56.759) Prec@5 83.750 (84.991) Epoch: [86][8830/11272] Time 0.764 (0.793) Data 0.001 (0.002) Loss 1.7817 (1.6039) Prec@1 52.500 (56.760) Prec@5 81.875 (84.993) Epoch: [86][8840/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.6797 (1.6039) Prec@1 50.625 (56.760) Prec@5 82.500 (84.993) Epoch: [86][8850/11272] Time 0.856 (0.793) Data 0.001 (0.002) Loss 1.5874 (1.6039) Prec@1 57.500 (56.761) Prec@5 85.625 (84.994) Epoch: [86][8860/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.5693 (1.6040) Prec@1 58.750 (56.760) Prec@5 85.000 (84.993) Epoch: [86][8870/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.7301 (1.6040) Prec@1 55.625 (56.759) Prec@5 80.625 (84.993) Epoch: [86][8880/11272] Time 0.751 (0.793) Data 0.002 (0.002) Loss 1.5234 (1.6041) Prec@1 58.750 (56.760) Prec@5 88.125 (84.993) Epoch: [86][8890/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.6211 (1.6040) Prec@1 57.500 (56.760) Prec@5 86.250 (84.994) Epoch: [86][8900/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.7337 (1.6041) Prec@1 52.500 (56.760) Prec@5 84.375 (84.993) Epoch: [86][8910/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.7367 (1.6041) Prec@1 54.375 (56.762) Prec@5 80.000 (84.992) Epoch: [86][8920/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 1.6068 (1.6041) Prec@1 58.125 (56.761) Prec@5 81.250 (84.990) Epoch: [86][8930/11272] Time 0.834 (0.793) Data 0.002 (0.002) Loss 1.6547 (1.6041) Prec@1 60.000 (56.761) Prec@5 84.375 (84.990) Epoch: [86][8940/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.4973 (1.6040) Prec@1 59.375 (56.762) Prec@5 89.375 (84.993) Epoch: [86][8950/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.5900 (1.6040) Prec@1 57.500 (56.763) Prec@5 83.750 (84.993) Epoch: [86][8960/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.6884 (1.6040) Prec@1 53.750 (56.765) Prec@5 81.250 (84.995) Epoch: [86][8970/11272] Time 0.846 (0.793) Data 0.003 (0.002) Loss 1.6382 (1.6039) Prec@1 55.625 (56.763) Prec@5 83.750 (84.997) Epoch: [86][8980/11272] Time 0.786 (0.793) Data 0.002 (0.002) Loss 1.5214 (1.6039) Prec@1 59.375 (56.764) Prec@5 85.000 (84.997) Epoch: [86][8990/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.6446 (1.6039) Prec@1 53.125 (56.764) Prec@5 83.125 (84.996) Epoch: [86][9000/11272] Time 0.937 (0.793) Data 0.001 (0.002) Loss 1.8567 (1.6041) Prec@1 50.000 (56.762) Prec@5 80.625 (84.993) Epoch: [86][9010/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.5950 (1.6040) Prec@1 56.875 (56.763) Prec@5 83.750 (84.993) Epoch: [86][9020/11272] Time 0.759 (0.793) Data 0.001 (0.002) Loss 1.6907 (1.6040) Prec@1 53.125 (56.764) Prec@5 83.750 (84.992) Epoch: [86][9030/11272] Time 0.726 (0.793) Data 0.002 (0.002) Loss 1.5508 (1.6041) Prec@1 55.625 (56.764) Prec@5 87.500 (84.993) Epoch: [86][9040/11272] Time 0.885 (0.793) Data 0.002 (0.002) Loss 1.5816 (1.6041) Prec@1 55.625 (56.763) Prec@5 85.625 (84.993) Epoch: [86][9050/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.5325 (1.6042) Prec@1 58.750 (56.761) Prec@5 86.875 (84.993) Epoch: [86][9060/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.5377 (1.6041) Prec@1 56.875 (56.761) Prec@5 86.250 (84.993) Epoch: [86][9070/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6469 (1.6042) Prec@1 53.125 (56.759) Prec@5 85.625 (84.993) Epoch: [86][9080/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.6864 (1.6042) Prec@1 53.125 (56.759) Prec@5 84.375 (84.991) Epoch: [86][9090/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.6976 (1.6042) Prec@1 53.125 (56.759) Prec@5 85.625 (84.991) Epoch: [86][9100/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.4967 (1.6042) Prec@1 56.250 (56.760) Prec@5 86.250 (84.991) Epoch: [86][9110/11272] Time 0.867 (0.793) Data 0.001 (0.002) Loss 1.6286 (1.6042) Prec@1 56.250 (56.760) Prec@5 81.250 (84.991) Epoch: [86][9120/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 1.6123 (1.6042) Prec@1 55.000 (56.759) Prec@5 86.250 (84.991) Epoch: [86][9130/11272] Time 0.711 (0.793) Data 0.001 (0.002) Loss 1.3522 (1.6042) Prec@1 63.750 (56.758) Prec@5 89.375 (84.991) Epoch: [86][9140/11272] Time 0.710 (0.793) Data 0.002 (0.002) Loss 1.7088 (1.6042) Prec@1 50.625 (56.757) Prec@5 85.000 (84.990) Epoch: [86][9150/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.6434 (1.6043) Prec@1 55.625 (56.755) Prec@5 85.000 (84.990) Epoch: [86][9160/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.6090 (1.6044) Prec@1 55.625 (56.756) Prec@5 85.000 (84.989) Epoch: [86][9170/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.5174 (1.6044) Prec@1 58.750 (56.754) Prec@5 85.000 (84.987) Epoch: [86][9180/11272] Time 0.827 (0.793) Data 0.002 (0.002) Loss 1.4332 (1.6044) Prec@1 63.125 (56.754) Prec@5 85.000 (84.987) Epoch: [86][9190/11272] Time 0.842 (0.793) Data 0.001 (0.002) Loss 1.7937 (1.6045) Prec@1 50.000 (56.752) Prec@5 86.250 (84.986) Epoch: [86][9200/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.4177 (1.6045) Prec@1 62.500 (56.753) Prec@5 85.625 (84.986) Epoch: [86][9210/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 1.8437 (1.6044) Prec@1 46.875 (56.754) Prec@5 83.750 (84.987) Epoch: [86][9220/11272] Time 0.873 (0.793) Data 0.002 (0.002) Loss 1.5410 (1.6045) Prec@1 61.250 (56.752) Prec@5 83.125 (84.985) Epoch: [86][9230/11272] Time 0.822 (0.793) Data 0.001 (0.002) Loss 1.6202 (1.6045) Prec@1 57.500 (56.751) Prec@5 84.375 (84.985) Epoch: [86][9240/11272] Time 0.721 (0.793) Data 0.002 (0.002) Loss 1.5970 (1.6045) Prec@1 57.500 (56.752) Prec@5 85.000 (84.985) Epoch: [86][9250/11272] Time 0.738 (0.793) Data 0.001 (0.002) Loss 1.4030 (1.6045) Prec@1 58.125 (56.750) Prec@5 89.375 (84.986) Epoch: [86][9260/11272] Time 0.911 (0.793) Data 0.001 (0.002) Loss 1.5659 (1.6045) Prec@1 56.875 (56.752) Prec@5 86.250 (84.986) Epoch: [86][9270/11272] Time 0.833 (0.793) Data 0.001 (0.002) Loss 1.5668 (1.6046) Prec@1 55.000 (56.751) Prec@5 88.750 (84.987) Epoch: [86][9280/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.9761 (1.6046) Prec@1 48.750 (56.750) Prec@5 78.750 (84.987) Epoch: [86][9290/11272] Time 0.787 (0.793) Data 0.002 (0.002) Loss 1.6946 (1.6046) Prec@1 55.000 (56.750) Prec@5 81.875 (84.985) Epoch: [86][9300/11272] Time 0.862 (0.793) Data 0.002 (0.002) Loss 1.6788 (1.6047) Prec@1 56.250 (56.749) Prec@5 85.000 (84.984) Epoch: [86][9310/11272] Time 0.723 (0.793) Data 0.003 (0.002) Loss 1.5830 (1.6047) Prec@1 61.875 (56.747) Prec@5 85.000 (84.983) Epoch: [86][9320/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.8046 (1.6048) Prec@1 56.250 (56.746) Prec@5 81.875 (84.981) Epoch: [86][9330/11272] Time 0.812 (0.793) Data 0.001 (0.002) Loss 1.4773 (1.6048) Prec@1 57.500 (56.747) Prec@5 88.125 (84.981) Epoch: [86][9340/11272] Time 0.881 (0.793) Data 0.002 (0.002) Loss 1.4710 (1.6048) Prec@1 61.875 (56.746) Prec@5 85.000 (84.980) Epoch: [86][9350/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7593 (1.6049) Prec@1 52.500 (56.747) Prec@5 82.500 (84.980) Epoch: [86][9360/11272] Time 0.776 (0.793) Data 0.002 (0.002) Loss 1.6875 (1.6048) Prec@1 52.500 (56.747) Prec@5 86.875 (84.981) Epoch: [86][9370/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.7264 (1.6048) Prec@1 51.875 (56.746) Prec@5 81.250 (84.980) Epoch: [86][9380/11272] Time 0.839 (0.793) Data 0.002 (0.002) Loss 1.8634 (1.6049) Prec@1 54.375 (56.743) Prec@5 81.250 (84.979) Epoch: [86][9390/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.8756 (1.6049) Prec@1 51.875 (56.744) Prec@5 80.000 (84.979) Epoch: [86][9400/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.6482 (1.6049) Prec@1 54.375 (56.745) Prec@5 80.625 (84.978) Epoch: [86][9410/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 1.5070 (1.6049) Prec@1 60.000 (56.744) Prec@5 86.875 (84.979) Epoch: [86][9420/11272] Time 0.848 (0.793) Data 0.002 (0.002) Loss 1.4825 (1.6049) Prec@1 60.625 (56.744) Prec@5 86.875 (84.979) Epoch: [86][9430/11272] Time 0.724 (0.793) Data 0.002 (0.002) Loss 1.6472 (1.6050) Prec@1 51.250 (56.742) Prec@5 86.875 (84.979) Epoch: [86][9440/11272] Time 0.869 (0.793) Data 0.002 (0.002) Loss 1.7952 (1.6050) Prec@1 52.500 (56.742) Prec@5 81.875 (84.977) Epoch: [86][9450/11272] Time 0.905 (0.793) Data 0.002 (0.002) Loss 1.4450 (1.6049) Prec@1 59.375 (56.742) Prec@5 87.500 (84.978) Epoch: [86][9460/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.5930 (1.6050) Prec@1 58.750 (56.741) Prec@5 85.625 (84.977) Epoch: [86][9470/11272] Time 0.741 (0.793) Data 0.002 (0.002) Loss 1.5557 (1.6049) Prec@1 62.500 (56.743) Prec@5 84.375 (84.978) Epoch: [86][9480/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.5809 (1.6051) Prec@1 56.875 (56.740) Prec@5 87.500 (84.976) Epoch: [86][9490/11272] Time 0.851 (0.793) Data 0.002 (0.002) Loss 1.7529 (1.6050) Prec@1 51.250 (56.739) Prec@5 79.375 (84.976) Epoch: [86][9500/11272] Time 0.712 (0.793) Data 0.002 (0.002) Loss 1.3536 (1.6050) Prec@1 64.375 (56.739) Prec@5 88.750 (84.976) Epoch: [86][9510/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.9117 (1.6051) Prec@1 51.875 (56.740) Prec@5 82.500 (84.976) Epoch: [86][9520/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.6637 (1.6051) Prec@1 53.125 (56.740) Prec@5 84.375 (84.977) Epoch: [86][9530/11272] Time 0.801 (0.793) Data 0.001 (0.002) Loss 1.8456 (1.6052) Prec@1 56.250 (56.739) Prec@5 82.500 (84.976) Epoch: [86][9540/11272] Time 0.733 (0.793) Data 0.001 (0.002) Loss 1.7669 (1.6052) Prec@1 51.875 (56.737) Prec@5 84.375 (84.975) Epoch: [86][9550/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.5373 (1.6052) Prec@1 55.000 (56.738) Prec@5 86.875 (84.977) Epoch: [86][9560/11272] Time 0.887 (0.793) Data 0.002 (0.002) Loss 1.7246 (1.6052) Prec@1 54.375 (56.738) Prec@5 81.250 (84.977) Epoch: [86][9570/11272] Time 0.711 (0.793) Data 0.004 (0.002) Loss 1.6347 (1.6053) Prec@1 53.125 (56.736) Prec@5 83.750 (84.976) Epoch: [86][9580/11272] Time 0.720 (0.793) Data 0.002 (0.002) Loss 1.5224 (1.6053) Prec@1 55.000 (56.734) Prec@5 85.000 (84.975) Epoch: [86][9590/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 1.4362 (1.6053) Prec@1 60.000 (56.732) Prec@5 88.125 (84.974) Epoch: [86][9600/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.6890 (1.6054) Prec@1 53.750 (56.731) Prec@5 83.750 (84.975) Epoch: [86][9610/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.4050 (1.6054) Prec@1 60.000 (56.729) Prec@5 88.125 (84.975) Epoch: [86][9620/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.7449 (1.6055) Prec@1 56.250 (56.728) Prec@5 80.000 (84.973) Epoch: [86][9630/11272] Time 0.832 (0.793) Data 0.001 (0.002) Loss 1.6830 (1.6055) Prec@1 57.500 (56.725) Prec@5 80.000 (84.972) Epoch: [86][9640/11272] Time 0.843 (0.793) Data 0.003 (0.002) Loss 1.7634 (1.6056) Prec@1 50.625 (56.723) Prec@5 81.250 (84.972) Epoch: [86][9650/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.4756 (1.6056) Prec@1 58.125 (56.724) Prec@5 84.375 (84.971) Epoch: [86][9660/11272] Time 0.713 (0.793) Data 0.002 (0.002) Loss 1.7516 (1.6056) Prec@1 55.625 (56.724) Prec@5 83.125 (84.970) Epoch: [86][9670/11272] Time 0.846 (0.793) Data 0.001 (0.002) Loss 1.8539 (1.6056) Prec@1 51.250 (56.724) Prec@5 86.250 (84.972) Epoch: [86][9680/11272] Time 0.854 (0.793) Data 0.002 (0.002) Loss 1.6529 (1.6055) Prec@1 56.875 (56.723) Prec@5 81.250 (84.971) Epoch: [86][9690/11272] Time 0.768 (0.793) Data 0.002 (0.002) Loss 1.6965 (1.6056) Prec@1 52.500 (56.720) Prec@5 87.500 (84.971) Epoch: [86][9700/11272] Time 0.855 (0.793) Data 0.002 (0.002) Loss 1.5317 (1.6056) Prec@1 55.625 (56.718) Prec@5 86.875 (84.971) Epoch: [86][9710/11272] Time 0.862 (0.793) Data 0.001 (0.002) Loss 1.6855 (1.6056) Prec@1 58.125 (56.719) Prec@5 83.125 (84.970) Epoch: [86][9720/11272] Time 0.706 (0.793) Data 0.002 (0.002) Loss 1.5878 (1.6057) Prec@1 56.250 (56.717) Prec@5 86.875 (84.969) Epoch: [86][9730/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.6790 (1.6057) Prec@1 59.375 (56.715) Prec@5 83.750 (84.970) Epoch: [86][9740/11272] Time 0.883 (0.793) Data 0.002 (0.002) Loss 1.7137 (1.6058) Prec@1 53.125 (56.714) Prec@5 82.500 (84.969) Epoch: [86][9750/11272] Time 0.860 (0.793) Data 0.001 (0.002) Loss 1.3846 (1.6057) Prec@1 63.125 (56.717) Prec@5 88.125 (84.969) Epoch: [86][9760/11272] Time 0.741 (0.793) Data 0.001 (0.002) Loss 1.4639 (1.6057) Prec@1 59.375 (56.715) Prec@5 87.500 (84.969) Epoch: [86][9770/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.5931 (1.6058) Prec@1 58.750 (56.713) Prec@5 83.750 (84.968) Epoch: [86][9780/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.5362 (1.6058) Prec@1 57.500 (56.713) Prec@5 85.625 (84.969) Epoch: [86][9790/11272] Time 0.828 (0.793) Data 0.001 (0.002) Loss 1.5924 (1.6058) Prec@1 55.000 (56.714) Prec@5 89.375 (84.969) Epoch: [86][9800/11272] Time 0.709 (0.793) Data 0.002 (0.002) Loss 1.5468 (1.6058) Prec@1 56.875 (56.714) Prec@5 86.875 (84.970) Epoch: [86][9810/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.8676 (1.6059) Prec@1 48.750 (56.713) Prec@5 80.000 (84.970) Epoch: [86][9820/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 1.8037 (1.6059) Prec@1 48.750 (56.713) Prec@5 80.625 (84.970) Epoch: [86][9830/11272] Time 0.825 (0.793) Data 0.001 (0.002) Loss 1.6594 (1.6058) Prec@1 57.500 (56.713) Prec@5 81.875 (84.971) Epoch: [86][9840/11272] Time 0.723 (0.793) Data 0.002 (0.002) Loss 1.5015 (1.6058) Prec@1 58.750 (56.712) Prec@5 87.500 (84.972) Epoch: [86][9850/11272] Time 0.872 (0.793) Data 0.001 (0.002) Loss 1.7043 (1.6060) Prec@1 55.625 (56.711) Prec@5 82.500 (84.969) Epoch: [86][9860/11272] Time 0.835 (0.793) Data 0.001 (0.002) Loss 1.4643 (1.6060) Prec@1 61.875 (56.711) Prec@5 84.375 (84.968) Epoch: [86][9870/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.8065 (1.6060) Prec@1 55.000 (56.712) Prec@5 83.750 (84.968) Epoch: [86][9880/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.6313 (1.6060) Prec@1 52.500 (56.711) Prec@5 84.375 (84.967) Epoch: [86][9890/11272] Time 0.834 (0.793) Data 0.001 (0.002) Loss 1.5467 (1.6060) Prec@1 58.125 (56.711) Prec@5 85.625 (84.967) Epoch: [86][9900/11272] Time 0.919 (0.793) Data 0.002 (0.002) Loss 1.6523 (1.6061) Prec@1 56.250 (56.710) Prec@5 83.125 (84.966) Epoch: [86][9910/11272] Time 0.780 (0.793) Data 0.001 (0.002) Loss 1.5428 (1.6062) Prec@1 56.250 (56.709) Prec@5 86.875 (84.964) Epoch: [86][9920/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.7010 (1.6062) Prec@1 56.875 (56.708) Prec@5 80.000 (84.963) Epoch: [86][9930/11272] Time 0.847 (0.793) Data 0.001 (0.002) Loss 1.6415 (1.6062) Prec@1 54.375 (56.709) Prec@5 83.750 (84.964) Epoch: [86][9940/11272] Time 0.845 (0.793) Data 0.002 (0.002) Loss 1.5827 (1.6062) Prec@1 56.875 (56.709) Prec@5 89.375 (84.964) Epoch: [86][9950/11272] Time 0.735 (0.793) Data 0.003 (0.002) Loss 1.6635 (1.6062) Prec@1 57.500 (56.709) Prec@5 83.750 (84.964) Epoch: [86][9960/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.4010 (1.6062) Prec@1 65.625 (56.710) Prec@5 89.375 (84.964) Epoch: [86][9970/11272] Time 0.851 (0.793) Data 0.002 (0.002) Loss 1.5993 (1.6062) Prec@1 58.125 (56.709) Prec@5 84.375 (84.964) Epoch: [86][9980/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.4730 (1.6062) Prec@1 58.125 (56.710) Prec@5 86.250 (84.964) Epoch: [86][9990/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.5213 (1.6062) Prec@1 55.625 (56.713) Prec@5 88.125 (84.965) Epoch: [86][10000/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.6571 (1.6062) Prec@1 51.875 (56.712) Prec@5 85.000 (84.964) Epoch: [86][10010/11272] Time 0.820 (0.793) Data 0.001 (0.002) Loss 1.5242 (1.6062) Prec@1 59.375 (56.711) Prec@5 85.625 (84.964) Epoch: [86][10020/11272] Time 0.713 (0.793) Data 0.001 (0.002) Loss 1.4965 (1.6062) Prec@1 60.625 (56.712) Prec@5 83.750 (84.963) Epoch: [86][10030/11272] Time 0.736 (0.793) Data 0.002 (0.002) Loss 1.6648 (1.6063) Prec@1 50.625 (56.711) Prec@5 85.625 (84.962) Epoch: [86][10040/11272] Time 0.864 (0.793) Data 0.001 (0.002) Loss 1.5494 (1.6063) Prec@1 58.125 (56.710) Prec@5 83.125 (84.962) Epoch: [86][10050/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.7427 (1.6063) Prec@1 55.000 (56.712) Prec@5 84.375 (84.962) Epoch: [86][10060/11272] Time 0.728 (0.793) Data 0.002 (0.002) Loss 1.7315 (1.6063) Prec@1 51.875 (56.712) Prec@5 83.750 (84.962) Epoch: [86][10070/11272] Time 0.714 (0.793) Data 0.002 (0.002) Loss 1.6307 (1.6063) Prec@1 53.750 (56.711) Prec@5 83.750 (84.961) Epoch: [86][10080/11272] Time 0.880 (0.793) Data 0.002 (0.002) Loss 1.7166 (1.6064) Prec@1 51.875 (56.708) Prec@5 86.250 (84.961) Epoch: [86][10090/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 1.6952 (1.6064) Prec@1 58.750 (56.707) Prec@5 83.125 (84.960) Epoch: [86][10100/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.4713 (1.6064) Prec@1 58.125 (56.707) Prec@5 85.625 (84.962) Epoch: [86][10110/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.6874 (1.6064) Prec@1 50.000 (56.706) Prec@5 84.375 (84.962) Epoch: [86][10120/11272] Time 0.831 (0.793) Data 0.001 (0.002) Loss 1.6143 (1.6064) Prec@1 60.625 (56.707) Prec@5 83.125 (84.963) Epoch: [86][10130/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.7118 (1.6064) Prec@1 58.125 (56.706) Prec@5 83.125 (84.962) Epoch: [86][10140/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.6180 (1.6065) Prec@1 56.875 (56.704) Prec@5 81.875 (84.962) Epoch: [86][10150/11272] Time 0.843 (0.793) Data 0.002 (0.002) Loss 1.6688 (1.6065) Prec@1 52.500 (56.701) Prec@5 85.000 (84.962) Epoch: [86][10160/11272] Time 0.809 (0.793) Data 0.001 (0.002) Loss 1.4346 (1.6065) Prec@1 57.500 (56.700) Prec@5 87.500 (84.963) Epoch: [86][10170/11272] Time 0.715 (0.793) Data 0.002 (0.002) Loss 1.6374 (1.6065) Prec@1 58.750 (56.701) Prec@5 81.250 (84.963) Epoch: [86][10180/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.4072 (1.6065) Prec@1 62.500 (56.701) Prec@5 88.125 (84.962) Epoch: [86][10190/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.7348 (1.6065) Prec@1 53.125 (56.702) Prec@5 83.750 (84.962) Epoch: [86][10200/11272] Time 0.838 (0.793) Data 0.001 (0.002) Loss 1.5662 (1.6065) Prec@1 59.375 (56.702) Prec@5 83.125 (84.963) Epoch: [86][10210/11272] Time 0.745 (0.793) Data 0.002 (0.002) Loss 1.7667 (1.6065) Prec@1 51.250 (56.700) Prec@5 81.250 (84.961) Epoch: [86][10220/11272] Time 0.722 (0.793) Data 0.002 (0.002) Loss 1.6564 (1.6065) Prec@1 56.875 (56.701) Prec@5 81.250 (84.960) Epoch: [86][10230/11272] Time 0.845 (0.793) Data 0.001 (0.002) Loss 1.6001 (1.6066) Prec@1 55.000 (56.699) Prec@5 88.125 (84.960) Epoch: [86][10240/11272] Time 0.774 (0.793) Data 0.004 (0.002) Loss 1.6743 (1.6066) Prec@1 53.750 (56.697) Prec@5 81.250 (84.960) Epoch: [86][10250/11272] Time 0.716 (0.793) Data 0.002 (0.002) Loss 1.6731 (1.6066) Prec@1 56.250 (56.696) Prec@5 84.375 (84.960) Epoch: [86][10260/11272] Time 0.860 (0.793) Data 0.002 (0.002) Loss 1.7980 (1.6067) Prec@1 54.375 (56.694) Prec@5 83.125 (84.959) Epoch: [86][10270/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 1.6003 (1.6067) Prec@1 61.875 (56.693) Prec@5 86.250 (84.959) Epoch: [86][10280/11272] Time 0.730 (0.793) Data 0.002 (0.002) Loss 1.8900 (1.6067) Prec@1 48.125 (56.693) Prec@5 80.625 (84.958) Epoch: [86][10290/11272] Time 0.714 (0.793) Data 0.002 (0.002) Loss 1.7277 (1.6067) Prec@1 58.125 (56.693) Prec@5 79.375 (84.957) Epoch: [86][10300/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.9987 (1.6068) Prec@1 46.250 (56.692) Prec@5 83.125 (84.956) Epoch: [86][10310/11272] Time 0.851 (0.793) Data 0.001 (0.002) Loss 1.7863 (1.6068) Prec@1 56.250 (56.693) Prec@5 80.625 (84.956) Epoch: [86][10320/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.7902 (1.6068) Prec@1 54.375 (56.692) Prec@5 81.875 (84.955) Epoch: [86][10330/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.7180 (1.6068) Prec@1 54.375 (56.694) Prec@5 85.000 (84.957) Epoch: [86][10340/11272] Time 0.888 (0.793) Data 0.001 (0.002) Loss 1.3917 (1.6068) Prec@1 63.750 (56.694) Prec@5 91.875 (84.956) Epoch: [86][10350/11272] Time 0.877 (0.793) Data 0.002 (0.002) Loss 1.8398 (1.6068) Prec@1 51.875 (56.693) Prec@5 83.125 (84.955) Epoch: [86][10360/11272] Time 0.729 (0.793) Data 0.002 (0.002) Loss 1.3648 (1.6069) Prec@1 61.875 (56.691) Prec@5 90.000 (84.956) Epoch: [86][10370/11272] Time 0.871 (0.793) Data 0.001 (0.002) Loss 1.7136 (1.6069) Prec@1 51.875 (56.691) Prec@5 85.000 (84.955) Epoch: [86][10380/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.6023 (1.6069) Prec@1 58.125 (56.692) Prec@5 85.000 (84.955) Epoch: [86][10390/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.6013 (1.6069) Prec@1 53.125 (56.692) Prec@5 85.625 (84.956) Epoch: [86][10400/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6044 (1.6068) Prec@1 57.500 (56.691) Prec@5 83.750 (84.956) Epoch: [86][10410/11272] Time 0.899 (0.793) Data 0.002 (0.002) Loss 1.6086 (1.6069) Prec@1 61.875 (56.691) Prec@5 85.000 (84.956) Epoch: [86][10420/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.8055 (1.6069) Prec@1 53.750 (56.691) Prec@5 85.000 (84.956) Epoch: [86][10430/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.6679 (1.6069) Prec@1 54.375 (56.691) Prec@5 85.000 (84.956) Epoch: [86][10440/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.5605 (1.6068) Prec@1 63.125 (56.692) Prec@5 83.750 (84.956) Epoch: [86][10450/11272] Time 0.865 (0.793) Data 0.001 (0.002) Loss 1.4215 (1.6068) Prec@1 57.500 (56.694) Prec@5 88.125 (84.957) Epoch: [86][10460/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 1.7015 (1.6068) Prec@1 55.000 (56.694) Prec@5 80.000 (84.954) Epoch: [86][10470/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.3322 (1.6068) Prec@1 61.250 (56.693) Prec@5 90.000 (84.954) Epoch: [86][10480/11272] Time 0.725 (0.793) Data 0.002 (0.002) Loss 1.7092 (1.6068) Prec@1 53.750 (56.692) Prec@5 82.500 (84.955) Epoch: [86][10490/11272] Time 0.833 (0.793) Data 0.002 (0.002) Loss 1.8511 (1.6069) Prec@1 51.250 (56.691) Prec@5 81.875 (84.954) Epoch: [86][10500/11272] Time 0.712 (0.793) Data 0.003 (0.002) Loss 1.4872 (1.6069) Prec@1 60.000 (56.690) Prec@5 88.750 (84.953) Epoch: [86][10510/11272] Time 0.718 (0.793) Data 0.001 (0.002) Loss 1.6184 (1.6069) Prec@1 56.250 (56.691) Prec@5 85.000 (84.952) Epoch: [86][10520/11272] Time 0.872 (0.793) Data 0.002 (0.002) Loss 1.7976 (1.6070) Prec@1 55.000 (56.689) Prec@5 86.875 (84.951) Epoch: [86][10530/11272] Time 0.816 (0.793) Data 0.001 (0.002) Loss 1.6170 (1.6070) Prec@1 56.250 (56.688) Prec@5 78.750 (84.950) Epoch: [86][10540/11272] Time 0.713 (0.793) Data 0.002 (0.002) Loss 1.7091 (1.6071) Prec@1 51.875 (56.686) Prec@5 83.125 (84.950) Epoch: [86][10550/11272] Time 0.759 (0.793) Data 0.002 (0.002) Loss 1.4005 (1.6071) Prec@1 61.875 (56.685) Prec@5 86.875 (84.950) Epoch: [86][10560/11272] Time 0.885 (0.793) Data 0.002 (0.002) Loss 1.5962 (1.6071) Prec@1 55.625 (56.685) Prec@5 83.125 (84.949) Epoch: [86][10570/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.5879 (1.6071) Prec@1 59.375 (56.684) Prec@5 85.625 (84.950) Epoch: [86][10580/11272] Time 0.707 (0.793) Data 0.001 (0.002) Loss 1.4520 (1.6072) Prec@1 58.750 (56.682) Prec@5 87.500 (84.949) Epoch: [86][10590/11272] Time 0.714 (0.793) Data 0.001 (0.002) Loss 1.5878 (1.6072) Prec@1 53.750 (56.681) Prec@5 86.250 (84.949) Epoch: [86][10600/11272] Time 0.824 (0.793) Data 0.002 (0.002) Loss 1.4857 (1.6072) Prec@1 57.500 (56.681) Prec@5 90.625 (84.949) Epoch: [86][10610/11272] Time 0.814 (0.793) Data 0.001 (0.002) Loss 1.3009 (1.6071) Prec@1 62.500 (56.681) Prec@5 87.500 (84.949) Epoch: [86][10620/11272] Time 0.724 (0.793) Data 0.001 (0.002) Loss 1.7195 (1.6072) Prec@1 53.125 (56.680) Prec@5 80.000 (84.949) Epoch: [86][10630/11272] Time 0.872 (0.793) Data 0.002 (0.002) Loss 1.7213 (1.6072) Prec@1 56.250 (56.679) Prec@5 85.000 (84.948) Epoch: [86][10640/11272] Time 0.900 (0.793) Data 0.002 (0.002) Loss 1.6772 (1.6073) Prec@1 53.750 (56.676) Prec@5 83.750 (84.946) Epoch: [86][10650/11272] Time 0.710 (0.793) Data 0.001 (0.002) Loss 1.8223 (1.6073) Prec@1 50.000 (56.674) Prec@5 83.125 (84.947) Epoch: [86][10660/11272] Time 0.732 (0.793) Data 0.002 (0.002) Loss 1.6649 (1.6073) Prec@1 55.000 (56.673) Prec@5 84.375 (84.946) Epoch: [86][10670/11272] Time 0.850 (0.793) Data 0.001 (0.002) Loss 1.7386 (1.6073) Prec@1 54.375 (56.673) Prec@5 84.375 (84.948) Epoch: [86][10680/11272] Time 0.858 (0.793) Data 0.002 (0.002) Loss 1.7663 (1.6073) Prec@1 52.500 (56.673) Prec@5 81.250 (84.948) Epoch: [86][10690/11272] Time 0.729 (0.793) Data 0.001 (0.002) Loss 1.8610 (1.6073) Prec@1 50.625 (56.672) Prec@5 81.250 (84.948) Epoch: [86][10700/11272] Time 0.719 (0.793) Data 0.002 (0.002) Loss 1.4319 (1.6074) Prec@1 63.750 (56.670) Prec@5 88.125 (84.947) Epoch: [86][10710/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.5370 (1.6075) Prec@1 60.625 (56.669) Prec@5 86.250 (84.946) Epoch: [86][10720/11272] Time 0.852 (0.793) Data 0.002 (0.002) Loss 1.5134 (1.6074) Prec@1 58.750 (56.669) Prec@5 89.375 (84.947) Epoch: [86][10730/11272] Time 0.717 (0.793) Data 0.001 (0.002) Loss 1.9300 (1.6075) Prec@1 53.125 (56.669) Prec@5 76.250 (84.946) Epoch: [86][10740/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6674 (1.6075) Prec@1 52.500 (56.669) Prec@5 83.125 (84.945) Epoch: [86][10750/11272] Time 0.818 (0.793) Data 0.001 (0.002) Loss 1.5994 (1.6074) Prec@1 52.500 (56.671) Prec@5 86.875 (84.947) Epoch: [86][10760/11272] Time 0.808 (0.793) Data 0.001 (0.002) Loss 1.7318 (1.6074) Prec@1 52.500 (56.671) Prec@5 80.625 (84.948) Epoch: [86][10770/11272] Time 0.715 (0.793) Data 0.001 (0.002) Loss 1.4413 (1.6074) Prec@1 62.500 (56.669) Prec@5 86.875 (84.948) Epoch: [86][10780/11272] Time 0.835 (0.793) Data 0.002 (0.002) Loss 1.6064 (1.6074) Prec@1 53.125 (56.666) Prec@5 88.750 (84.948) Epoch: [86][10790/11272] Time 0.829 (0.793) Data 0.001 (0.002) Loss 1.5089 (1.6075) Prec@1 56.250 (56.667) Prec@5 89.375 (84.949) Epoch: [86][10800/11272] Time 0.734 (0.793) Data 0.002 (0.002) Loss 1.7513 (1.6075) Prec@1 53.125 (56.666) Prec@5 81.875 (84.948) Epoch: [86][10810/11272] Time 0.705 (0.793) Data 0.001 (0.002) Loss 1.6295 (1.6075) Prec@1 60.625 (56.665) Prec@5 85.000 (84.947) Epoch: [86][10820/11272] Time 0.869 (0.793) Data 0.001 (0.002) Loss 1.7465 (1.6075) Prec@1 53.125 (56.664) Prec@5 83.750 (84.948) Epoch: [86][10830/11272] Time 0.821 (0.793) Data 0.001 (0.002) Loss 1.5189 (1.6075) Prec@1 55.000 (56.663) Prec@5 87.500 (84.949) Epoch: [86][10840/11272] Time 0.768 (0.793) Data 0.002 (0.002) Loss 1.6120 (1.6075) Prec@1 54.375 (56.662) Prec@5 88.125 (84.949) Epoch: [86][10850/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.8605 (1.6076) Prec@1 46.250 (56.660) Prec@5 80.000 (84.947) Epoch: [86][10860/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.5763 (1.6077) Prec@1 60.000 (56.657) Prec@5 83.750 (84.946) Epoch: [86][10870/11272] Time 0.823 (0.793) Data 0.001 (0.002) Loss 1.5133 (1.6077) Prec@1 62.500 (56.658) Prec@5 85.000 (84.945) Epoch: [86][10880/11272] Time 0.727 (0.793) Data 0.002 (0.002) Loss 1.5525 (1.6077) Prec@1 56.875 (56.658) Prec@5 88.125 (84.945) Epoch: [86][10890/11272] Time 0.731 (0.793) Data 0.001 (0.002) Loss 1.7167 (1.6077) Prec@1 54.375 (56.656) Prec@5 84.375 (84.944) Epoch: [86][10900/11272] Time 0.875 (0.793) Data 0.002 (0.002) Loss 1.6798 (1.6078) Prec@1 50.625 (56.654) Prec@5 84.375 (84.943) Epoch: [86][10910/11272] Time 0.718 (0.793) Data 0.002 (0.002) Loss 1.6333 (1.6078) Prec@1 60.625 (56.655) Prec@5 85.000 (84.943) Epoch: [86][10920/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.5443 (1.6079) Prec@1 60.000 (56.653) Prec@5 86.875 (84.942) Epoch: [86][10930/11272] Time 0.827 (0.793) Data 0.001 (0.002) Loss 1.6859 (1.6079) Prec@1 59.375 (56.652) Prec@5 83.750 (84.941) Epoch: [86][10940/11272] Time 0.824 (0.793) Data 0.001 (0.002) Loss 1.6401 (1.6079) Prec@1 56.250 (56.653) Prec@5 85.000 (84.941) Epoch: [86][10950/11272] Time 0.717 (0.793) Data 0.002 (0.002) Loss 1.7244 (1.6079) Prec@1 54.375 (56.650) Prec@5 85.000 (84.941) Epoch: [86][10960/11272] Time 0.727 (0.793) Data 0.001 (0.002) Loss 1.5055 (1.6079) Prec@1 60.000 (56.650) Prec@5 88.750 (84.941) Epoch: [86][10970/11272] Time 0.828 (0.793) Data 0.002 (0.002) Loss 1.3349 (1.6080) Prec@1 62.500 (56.650) Prec@5 91.875 (84.940) Epoch: [86][10980/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.7681 (1.6080) Prec@1 54.375 (56.651) Prec@5 83.750 (84.941) Epoch: [86][10990/11272] Time 0.726 (0.793) Data 0.001 (0.002) Loss 1.8348 (1.6080) Prec@1 48.750 (56.649) Prec@5 82.500 (84.940) Epoch: [86][11000/11272] Time 0.720 (0.793) Data 0.001 (0.002) Loss 1.8539 (1.6081) Prec@1 55.625 (56.649) Prec@5 80.000 (84.940) Epoch: [86][11010/11272] Time 0.812 (0.793) Data 0.001 (0.002) Loss 1.6676 (1.6081) Prec@1 58.125 (56.649) Prec@5 83.125 (84.939) Epoch: [86][11020/11272] Time 0.815 (0.793) Data 0.001 (0.002) Loss 1.6933 (1.6081) Prec@1 55.625 (56.647) Prec@5 84.375 (84.939) Epoch: [86][11030/11272] Time 0.765 (0.793) Data 0.002 (0.002) Loss 1.3893 (1.6081) Prec@1 61.875 (56.647) Prec@5 89.375 (84.938) Epoch: [86][11040/11272] Time 0.837 (0.793) Data 0.001 (0.002) Loss 1.5781 (1.6081) Prec@1 57.500 (56.647) Prec@5 86.875 (84.938) Epoch: [86][11050/11272] Time 0.853 (0.793) Data 0.002 (0.002) Loss 1.6973 (1.6082) Prec@1 55.625 (56.647) Prec@5 86.250 (84.938) Epoch: [86][11060/11272] Time 0.722 (0.793) Data 0.001 (0.002) Loss 1.7528 (1.6082) Prec@1 49.375 (56.647) Prec@5 81.875 (84.939) Epoch: [86][11070/11272] Time 0.744 (0.793) Data 0.002 (0.002) Loss 1.5221 (1.6082) Prec@1 57.500 (56.644) Prec@5 87.500 (84.938) Epoch: [86][11080/11272] Time 0.882 (0.793) Data 0.001 (0.002) Loss 1.6134 (1.6082) Prec@1 55.000 (56.644) Prec@5 86.875 (84.939) Epoch: [86][11090/11272] Time 0.836 (0.793) Data 0.001 (0.002) Loss 1.6489 (1.6083) Prec@1 55.000 (56.641) Prec@5 85.000 (84.938) Epoch: [86][11100/11272] Time 0.733 (0.793) Data 0.003 (0.002) Loss 1.6490 (1.6083) Prec@1 56.250 (56.643) Prec@5 84.375 (84.938) Epoch: [86][11110/11272] Time 0.730 (0.793) Data 0.001 (0.002) Loss 1.6877 (1.6084) Prec@1 54.375 (56.639) Prec@5 83.125 (84.935) Epoch: [86][11120/11272] Time 0.849 (0.793) Data 0.002 (0.002) Loss 1.6011 (1.6085) Prec@1 59.375 (56.639) Prec@5 87.500 (84.935) Epoch: [86][11130/11272] Time 0.838 (0.793) Data 0.002 (0.002) Loss 1.8138 (1.6085) Prec@1 48.125 (56.637) Prec@5 80.000 (84.933) Epoch: [86][11140/11272] Time 0.719 (0.793) Data 0.001 (0.002) Loss 1.5966 (1.6085) Prec@1 55.625 (56.635) Prec@5 86.250 (84.933) Epoch: [86][11150/11272] Time 0.728 (0.793) Data 0.001 (0.002) Loss 1.6840 (1.6085) Prec@1 55.000 (56.635) Prec@5 85.000 (84.933) Epoch: [86][11160/11272] Time 0.856 (0.793) Data 0.002 (0.002) Loss 1.7030 (1.6085) Prec@1 55.625 (56.635) Prec@5 84.375 (84.933) Epoch: [86][11170/11272] Time 0.723 (0.793) Data 0.003 (0.002) Loss 1.6427 (1.6086) Prec@1 52.500 (56.634) Prec@5 83.750 (84.933) Epoch: [86][11180/11272] Time 0.735 (0.793) Data 0.001 (0.002) Loss 1.5232 (1.6086) Prec@1 58.750 (56.634) Prec@5 84.375 (84.932) Epoch: [86][11190/11272] Time 0.840 (0.793) Data 0.001 (0.002) Loss 1.5418 (1.6086) Prec@1 56.250 (56.633) Prec@5 87.500 (84.932) Epoch: [86][11200/11272] Time 0.836 (0.793) Data 0.002 (0.002) Loss 1.7312 (1.6086) Prec@1 56.250 (56.633) Prec@5 84.375 (84.932) Epoch: [86][11210/11272] Time 0.721 (0.793) Data 0.001 (0.002) Loss 1.5529 (1.6086) Prec@1 58.750 (56.633) Prec@5 85.625 (84.932) Epoch: [86][11220/11272] Time 0.725 (0.793) Data 0.001 (0.002) Loss 1.6911 (1.6086) Prec@1 53.750 (56.635) Prec@5 83.750 (84.932) Epoch: [86][11230/11272] Time 0.804 (0.793) Data 0.001 (0.002) Loss 1.8566 (1.6086) Prec@1 51.250 (56.635) Prec@5 83.125 (84.931) Epoch: [86][11240/11272] Time 0.841 (0.793) Data 0.002 (0.002) Loss 1.7067 (1.6087) Prec@1 53.750 (56.633) Prec@5 78.750 (84.930) Epoch: [86][11250/11272] Time 0.712 (0.793) Data 0.001 (0.002) Loss 1.8389 (1.6087) Prec@1 51.250 (56.631) Prec@5 80.625 (84.929) Epoch: [86][11260/11272] Time 0.743 (0.793) Data 0.002 (0.002) Loss 1.4280 (1.6087) Prec@1 61.875 (56.631) Prec@5 83.750 (84.929) Epoch: [86][11270/11272] Time 0.832 (0.793) Data 0.000 (0.002) Loss 1.5643 (1.6087) Prec@1 55.000 (56.631) Prec@5 86.250 (84.929) Test: [0/229] Time 3.763 (3.763) Loss 0.9056 (0.9056) Prec@1 71.875 (71.875) Prec@5 94.375 (94.375) Test: [10/229] Time 0.353 (0.865) Loss 1.0479 (1.5767) Prec@1 65.000 (57.898) Prec@5 98.125 (87.500) Test: [20/229] Time 0.855 (0.798) Loss 2.2380 (1.6827) Prec@1 43.125 (54.226) Prec@5 78.125 (86.280) Test: [30/229] Time 0.343 (0.731) Loss 1.9913 (1.6175) Prec@1 45.000 (56.673) Prec@5 83.125 (86.794) Test: [40/229] Time 0.334 (0.719) Loss 0.4160 (1.6194) Prec@1 90.625 (56.692) Prec@5 95.000 (86.570) Test: [50/229] Time 0.458 (0.703) Loss 2.1246 (1.6718) Prec@1 39.375 (55.551) Prec@5 81.875 (85.453) Test: [60/229] Time 0.363 (0.693) Loss 2.1093 (1.6784) Prec@1 37.500 (55.389) Prec@5 85.000 (85.369) Test: [70/229] Time 0.670 (0.687) Loss 1.2530 (1.6871) Prec@1 71.250 (55.238) Prec@5 86.250 (85.317) Test: [80/229] Time 0.437 (0.679) Loss 2.0630 (1.7016) Prec@1 37.500 (54.529) Prec@5 85.625 (85.309) Test: [90/229] Time 1.332 (0.679) Loss 1.4183 (1.7128) Prec@1 66.250 (54.313) Prec@5 84.375 (85.192) Test: [100/229] Time 0.643 (0.673) Loss 2.1442 (1.7034) Prec@1 44.375 (54.641) Prec@5 83.125 (85.309) Test: [110/229] Time 1.386 (0.673) Loss 1.3852 (1.6866) Prec@1 60.625 (54.870) Prec@5 86.875 (85.518) Test: [120/229] Time 0.508 (0.669) Loss 2.7200 (1.7093) Prec@1 33.750 (54.323) Prec@5 76.875 (85.155) Test: [130/229] Time 1.319 (0.670) Loss 1.0275 (1.6888) Prec@1 67.500 (54.814) Prec@5 94.375 (85.348) Test: [140/229] Time 0.439 (0.666) Loss 1.7974 (1.7001) Prec@1 53.750 (54.477) Prec@5 84.375 (85.284) Test: [150/229] Time 1.337 (0.667) Loss 1.1253 (1.7165) Prec@1 75.625 (54.127) Prec@5 88.125 (85.058) Test: [160/229] Time 0.336 (0.662) Loss 1.7133 (1.7188) Prec@1 59.375 (54.033) Prec@5 87.500 (84.992) Test: [170/229] Time 1.387 (0.664) Loss 1.8007 (1.7307) Prec@1 46.875 (53.626) Prec@5 85.625 (84.887) Test: [180/229] Time 0.564 (0.659) Loss 2.4413 (1.7387) Prec@1 34.375 (53.536) Prec@5 73.125 (84.679) Test: [190/229] Time 0.904 (0.659) Loss 1.2703 (1.7291) Prec@1 61.875 (53.802) Prec@5 93.125 (84.807) Test: [200/229] Time 1.132 (0.659) Loss 1.7903 (1.7215) Prec@1 48.125 (53.797) Prec@5 84.375 (84.988) Test: [210/229] Time 0.555 (0.656) Loss 1.0510 (1.7103) Prec@1 71.875 (54.111) Prec@5 93.750 (85.142) Test: [220/229] Time 1.114 (0.658) Loss 1.4651 (1.7008) Prec@1 59.375 (54.420) Prec@5 90.625 (85.229) * Prec@1 54.748 Prec@5 85.297 Epoch: [87][0/11272] Time 4.814 (4.814) Data 3.876 (3.876) Loss 1.7078 (1.7078) Prec@1 53.125 (53.125) Prec@5 83.750 (83.750) Epoch: [87][10/11272] Time 0.818 (1.147) Data 0.002 (0.354) Loss 1.3958 (1.6221) Prec@1 56.875 (56.420) Prec@5 88.125 (84.545) Epoch: [87][20/11272] Time 0.770 (0.973) Data 0.002 (0.186) Loss 1.5314 (1.5910) Prec@1 56.250 (57.530) Prec@5 86.250 (84.732) Epoch: [87][30/11272] Time 0.724 (0.913) Data 0.002 (0.127) Loss 1.7239 (1.5661) Prec@1 52.500 (57.681) Prec@5 80.625 (85.262) Epoch: [87][40/11272] Time 0.837 (0.879) Data 0.002 (0.096) Loss 1.5789 (1.5536) Prec@1 58.125 (57.805) Prec@5 83.750 (85.320) Epoch: [87][50/11272] Time 0.834 (0.860) Data 0.002 (0.078) Loss 1.7496 (1.5591) Prec@1 51.250 (57.586) Prec@5 82.500 (85.404) Epoch: [87][60/11272] Time 0.699 (0.846) Data 0.002 (0.065) Loss 1.5415 (1.5645) Prec@1 58.750 (57.500) Prec@5 86.250 (85.256) Epoch: [87][70/11272] Time 0.705 (0.835) Data 0.001 (0.056) Loss 1.6668 (1.5712) Prec@1 53.125 (57.386) Prec@5 86.875 (85.167) Epoch: [87][80/11272] Time 0.866 (0.832) Data 0.002 (0.049) Loss 1.7817 (1.5871) Prec@1 55.000 (57.099) Prec@5 83.750 (84.907) Epoch: [87][90/11272] Time 0.857 (0.828) Data 0.002 (0.044) Loss 1.5345 (1.5788) Prec@1 59.375 (57.225) Prec@5 86.250 (85.124) Epoch: [87][100/11272] Time 0.727 (0.824) Data 0.001 (0.040) Loss 1.5191 (1.5755) Prec@1 56.250 (57.314) Prec@5 86.875 (85.210) Epoch: [87][110/11272] Time 0.899 (0.821) Data 0.001 (0.036) Loss 1.7934 (1.5794) Prec@1 56.250 (57.280) Prec@5 81.875 (85.253) Epoch: [87][120/11272] Time 0.844 (0.818) Data 0.002 (0.034) Loss 1.5369 (1.5773) Prec@1 58.125 (57.335) Prec@5 85.625 (85.320) Epoch: [87][130/11272] Time 0.712 (0.815) Data 0.001 (0.031) Loss 1.5877 (1.5794) Prec@1 60.625 (57.428) Prec@5 83.125 (85.253) Epoch: [87][140/11272] Time 0.726 (0.813) Data 0.001 (0.029) Loss 1.6381 (1.5801) Prec@1 51.250 (57.451) Prec@5 86.250 (85.253) Epoch: [87][150/11272] Time 0.863 (0.812) Data 0.002 (0.027) Loss 1.4901 (1.5807) Prec@1 58.750 (57.438) Prec@5 84.375 (85.236) Epoch: [87][160/11272] Time 0.818 (0.811) Data 0.002 (0.026) Loss 1.6698 (1.5822) Prec@1 55.000 (57.422) Prec@5 83.125 (85.217) Epoch: [87][170/11272] Time 0.694 (0.809) Data 0.001 (0.024) Loss 1.8900 (1.5846) Prec@1 52.500 (57.398) Prec@5 76.250 (85.091) Epoch: [87][180/11272] Time 0.713 (0.808) Data 0.001 (0.023) Loss 1.6808 (1.5867) Prec@1 54.375 (57.345) Prec@5 85.625 (85.079) Epoch: [87][190/11272] Time 0.878 (0.809) Data 0.001 (0.022) Loss 1.6208 (1.5875) Prec@1 56.250 (57.317) Prec@5 81.875 (85.098) Epoch: [87][200/11272] Time 0.819 (0.807) Data 0.001 (0.021) Loss 1.4504 (1.5901) Prec@1 56.875 (57.239) Prec@5 88.750 (85.100) Epoch: [87][210/11272] Time 0.708 (0.806) Data 0.001 (0.020) Loss 1.4722 (1.5889) Prec@1 61.875 (57.293) Prec@5 90.000 (85.133) Epoch: [87][220/11272] Time 0.931 (0.806) Data 0.001 (0.019) Loss 1.5998 (1.5894) Prec@1 55.625 (57.311) Prec@5 85.625 (85.130) Epoch: [87][230/11272] Time 0.849 (0.805) Data 0.002 (0.018) Loss 1.4906 (1.5870) Prec@1 53.125 (57.305) Prec@5 86.250 (85.181) Epoch: [87][240/11272] Time 0.733 (0.805) Data 0.002 (0.018) Loss 1.6062 (1.5858) Prec@1 60.000 (57.311) Prec@5 81.250 (85.239) Epoch: [87][250/11272] Time 0.716 (0.804) Data 0.001 (0.017) Loss 1.5498 (1.5853) Prec@1 61.250 (57.293) Prec@5 84.375 (85.266) Epoch: [87][260/11272] Time 0.857 (0.804) Data 0.002 (0.016) Loss 1.4434 (1.5843) Prec@1 61.250 (57.325) Prec@5 87.500 (85.271) Epoch: [87][270/11272] Time 0.832 (0.804) Data 0.002 (0.016) Loss 1.5903 (1.5817) Prec@1 54.375 (57.334) Prec@5 86.875 (85.309) Epoch: [87][280/11272] Time 0.718 (0.803) Data 0.002 (0.015) Loss 1.5043 (1.5801) Prec@1 56.250 (57.389) Prec@5 84.375 (85.316) Epoch: [87][290/11272] Time 0.711 (0.803) Data 0.001 (0.015) Loss 1.4950 (1.5791) Prec@1 56.250 (57.431) Prec@5 86.250 (85.333) Epoch: [87][300/11272] Time 0.885 (0.803) Data 0.002 (0.014) Loss 1.5641 (1.5795) Prec@1 59.375 (57.409) Prec@5 85.000 (85.334) Epoch: [87][310/11272] Time 0.840 (0.802) Data 0.002 (0.014) Loss 1.6617 (1.5801) Prec@1 53.125 (57.345) Prec@5 81.250 (85.299) Epoch: [87][320/11272] Time 0.735 (0.801) Data 0.001 (0.014) Loss 1.5332 (1.5798) Prec@1 57.500 (57.338) Prec@5 86.250 (85.317) Epoch: [87][330/11272] Time 0.724 (0.801) Data 0.002 (0.013) Loss 1.5392 (1.5795) Prec@1 60.625 (57.313) Prec@5 86.250 (85.329) Epoch: [87][340/11272] Time 0.867 (0.801) Data 0.002 (0.013) Loss 1.7628 (1.5796) Prec@1 53.125 (57.320) Prec@5 83.750 (85.323) Epoch: [87][350/11272] Time 0.835 (0.801) Data 0.001 (0.013) Loss 1.5500 (1.5811) Prec@1 56.875 (57.290) Prec@5 85.625 (85.308) Epoch: [87][360/11272] Time 0.726 (0.800) Data 0.001 (0.012) Loss 1.6176 (1.5820) Prec@1 56.875 (57.304) Prec@5 83.125 (85.277) Epoch: [87][370/11272] Time 0.824 (0.800) Data 0.001 (0.012) Loss 1.4651 (1.5828) Prec@1 60.625 (57.313) Prec@5 88.125 (85.258) Epoch: [87][380/11272] Time 0.861 (0.800) Data 0.002 (0.012) Loss 1.4053 (1.5810) Prec@1 64.375 (57.357) Prec@5 86.250 (85.266) Epoch: [87][390/11272] Time 0.740 (0.799) Data 0.002 (0.011) Loss 1.6360 (1.5819) Prec@1 56.250 (57.334) Prec@5 81.250 (85.246) Epoch: [87][400/11272] Time 0.709 (0.799) Data 0.002 (0.011) Loss 1.4765 (1.5810) Prec@1 56.250 (57.288) Prec@5 90.000 (85.249) Epoch: [87][410/11272] Time 0.829 (0.798) Data 0.001 (0.011) Loss 1.6421 (1.5823) Prec@1 56.250 (57.281) Prec@5 85.625 (85.219) Epoch: [87][420/11272] Time 0.827 (0.798) Data 0.001 (0.011) Loss 1.7501 (1.5822) Prec@1 55.000 (57.313) Prec@5 84.375 (85.223) Epoch: [87][430/11272] Time 0.721 (0.798) Data 0.002 (0.011) Loss 1.5148 (1.5839) Prec@1 61.875 (57.291) Prec@5 87.500 (85.199) Epoch: [87][440/11272] Time 0.742 (0.798) Data 0.001 (0.010) Loss 1.3059 (1.5819) Prec@1 66.875 (57.340) Prec@5 87.500 (85.235) Epoch: [87][450/11272] Time 0.839 (0.798) Data 0.002 (0.010) Loss 1.5940 (1.5825) Prec@1 56.250 (57.350) Prec@5 85.000 (85.208) Epoch: [87][460/11272] Time 0.821 (0.798) Data 0.001 (0.010) Loss 1.5833 (1.5838) Prec@1 57.500 (57.317) Prec@5 84.375 (85.171) Epoch: [87][470/11272] Time 0.691 (0.798) Data 0.001 (0.010) Loss 1.4164 (1.5822) Prec@1 60.625 (57.365) Prec@5 86.875 (85.190) Epoch: [87][480/11272] Time 0.715 (0.798) Data 0.001 (0.010) Loss 1.6147 (1.5823) Prec@1 56.250 (57.339) Prec@5 86.250 (85.186) Epoch: [87][490/11272] Time 0.814 (0.798) Data 0.002 (0.009) Loss 1.3303 (1.5822) Prec@1 62.500 (57.352) Prec@5 88.750 (85.183) Epoch: [87][500/11272] Time 0.714 (0.798) Data 0.003 (0.009) Loss 1.6358 (1.5830) Prec@1 55.000 (57.328) Prec@5 85.625 (85.165) Epoch: [87][510/11272] Time 0.752 (0.798) Data 0.002 (0.009) Loss 1.3794 (1.5830) Prec@1 61.250 (57.323) Prec@5 87.500 (85.160) Epoch: [87][520/11272] Time 0.873 (0.798) Data 0.002 (0.009) Loss 1.7238 (1.5836) Prec@1 48.125 (57.292) Prec@5 84.375 (85.143) Epoch: [87][530/11272] Time 0.817 (0.798) Data 0.001 (0.009) Loss 1.5895 (1.5844) Prec@1 54.375 (57.265) Prec@5 86.250 (85.122) Epoch: [87][540/11272] Time 0.719 (0.797) Data 0.002 (0.009) Loss 1.6591 (1.5843) Prec@1 55.000 (57.263) Prec@5 83.750 (85.125) Epoch: [87][550/11272] Time 0.720 (0.797) Data 0.002 (0.009) Loss 1.3908 (1.5843) Prec@1 65.625 (57.272) Prec@5 88.125 (85.121) Epoch: [87][560/11272] Time 0.908 (0.798) Data 0.001 (0.008) Loss 1.3420 (1.5835) Prec@1 65.000 (57.312) Prec@5 88.750 (85.141) Epoch: [87][570/11272] Time 0.817 (0.797) Data 0.001 (0.008) Loss 1.6149 (1.5833) Prec@1 53.125 (57.311) Prec@5 85.000 (85.138) Epoch: [87][580/11272] Time 0.758 (0.797) Data 0.002 (0.008) Loss 1.5872 (1.5829) Prec@1 56.250 (57.310) Prec@5 88.125 (85.153) Epoch: [87][590/11272] Time 0.717 (0.797) Data 0.001 (0.008) Loss 1.7169 (1.5834) Prec@1 53.750 (57.288) Prec@5 84.375 (85.147) Epoch: [87][600/11272] Time 0.864 (0.797) Data 0.001 (0.008) Loss 1.6056 (1.5835) Prec@1 52.500 (57.282) Prec@5 85.625 (85.136) Epoch: [87][610/11272] Time 0.873 (0.797) Data 0.001 (0.008) Loss 1.6164 (1.5835) Prec@1 52.500 (57.268) Prec@5 85.625 (85.147) Epoch: [87][620/11272] Time 0.715 (0.797) Data 0.001 (0.008) Loss 1.5015 (1.5828) Prec@1 61.250 (57.286) Prec@5 85.625 (85.165) Epoch: [87][630/11272] Time 0.846 (0.797) Data 0.001 (0.008) Loss 1.4883 (1.5829) Prec@1 61.250 (57.268) Prec@5 85.625 (85.165) Epoch: [87][640/11272] Time 0.881 (0.797) Data 0.001 (0.008) Loss 1.6499 (1.5833) Prec@1 53.125 (57.265) Prec@5 85.625 (85.166) Epoch: [87][650/11272] Time 0.718 (0.797) Data 0.001 (0.008) Loss 1.5527 (1.5826) Prec@1 54.375 (57.286) Prec@5 86.250 (85.172) Epoch: [87][660/11272] Time 0.685 (0.797) Data 0.001 (0.007) Loss 1.6687 (1.5823) Prec@1 58.125 (57.300) Prec@5 80.625 (85.170) Epoch: [87][670/11272] Time 0.859 (0.797) Data 0.001 (0.007) Loss 1.6277 (1.5822) Prec@1 52.500 (57.308) Prec@5 85.625 (85.166) Epoch: [87][680/11272] Time 0.847 (0.797) Data 0.001 (0.007) Loss 1.5186 (1.5820) Prec@1 58.750 (57.310) Prec@5 86.875 (85.168) Epoch: [87][690/11272] Time 0.707 (0.797) Data 0.001 (0.007) Loss 1.6200 (1.5829) Prec@1 54.375 (57.291) Prec@5 84.375 (85.150) Epoch: [87][700/11272] Time 0.740 (0.797) Data 0.001 (0.007) Loss 1.6747 (1.5831) Prec@1 56.875 (57.307) Prec@5 87.500 (85.156) Epoch: [87][710/11272] Time 0.798 (0.797) Data 0.001 (0.007) Loss 1.3130 (1.5820) Prec@1 68.125 (57.345) Prec@5 88.125 (85.172) Epoch: [87][720/11272] Time 0.824 (0.797) Data 0.003 (0.007) Loss 1.7109 (1.5825) Prec@1 49.375 (57.324) Prec@5 82.500 (85.172) Epoch: [87][730/11272] Time 0.715 (0.796) Data 0.001 (0.007) Loss 1.3398 (1.5817) Prec@1 58.125 (57.334) Prec@5 88.750 (85.179) Epoch: [87][740/11272] Time 0.718 (0.796) Data 0.002 (0.007) Loss 1.6130 (1.5823) Prec@1 55.625 (57.324) Prec@5 84.375 (85.144) Epoch: [87][750/11272] Time 0.865 (0.796) Data 0.002 (0.007) Loss 1.7530 (1.5816) Prec@1 54.375 (57.353) Prec@5 81.875 (85.150) Epoch: [87][760/11272] Time 0.743 (0.796) Data 0.009 (0.007) Loss 1.3997 (1.5817) Prec@1 62.500 (57.341) Prec@5 86.250 (85.159) Epoch: [87][770/11272] Time 0.704 (0.796) Data 0.001 (0.007) Loss 1.4412 (1.5813) Prec@1 64.375 (57.355) Prec@5 90.625 (85.178) Epoch: [87][780/11272] Time 0.882 (0.796) Data 0.002 (0.007) Loss 1.7381 (1.5820) Prec@1 59.375 (57.361) Prec@5 84.375 (85.164) Epoch: [87][790/11272] Time 0.839 (0.796) Data 0.002 (0.006) Loss 1.5167 (1.5809) Prec@1 58.750 (57.386) Prec@5 87.500 (85.190) Epoch: [87][800/11272] Time 0.766 (0.796) Data 0.001 (0.006) Loss 1.4441 (1.5809) Prec@1 57.500 (57.381) Prec@5 88.750 (85.197) Epoch: [87][810/11272] Time 0.723 (0.796) Data 0.001 (0.006) Loss 1.5923 (1.5810) Prec@1 56.875 (57.371) Prec@5 85.000 (85.197) Epoch: [87][820/11272] Time 0.866 (0.796) Data 0.001 (0.006) Loss 1.6989 (1.5812) Prec@1 62.500 (57.387) Prec@5 84.375 (85.193) Epoch: [87][830/11272] Time 0.853 (0.796) Data 0.001 (0.006) Loss 1.5240 (1.5810) Prec@1 57.500 (57.399) Prec@5 85.000 (85.199) Epoch: [87][840/11272] Time 0.717 (0.796) Data 0.002 (0.006) Loss 1.5259 (1.5815) Prec@1 61.250 (57.401) Prec@5 85.000 (85.196) Epoch: [87][850/11272] Time 0.705 (0.795) Data 0.001 (0.006) Loss 1.6087 (1.5824) Prec@1 55.000 (57.377) Prec@5 81.875 (85.186) Epoch: [87][860/11272] Time 0.841 (0.795) Data 0.002 (0.006) Loss 1.4501 (1.5817) Prec@1 53.125 (57.382) Prec@5 88.750 (85.197) Epoch: [87][870/11272] Time 0.854 (0.795) Data 0.001 (0.006) Loss 1.6551 (1.5826) Prec@1 55.625 (57.359) Prec@5 82.500 (85.173) Epoch: [87][880/11272] Time 0.736 (0.795) Data 0.001 (0.006) Loss 1.8110 (1.5830) Prec@1 51.875 (57.350) Prec@5 85.625 (85.172) Epoch: [87][890/11272] Time 0.837 (0.795) Data 0.001 (0.006) Loss 1.5594 (1.5835) Prec@1 55.000 (57.337) Prec@5 85.625 (85.174) Epoch: [87][900/11272] Time 0.847 (0.795) Data 0.001 (0.006) Loss 1.5135 (1.5827) Prec@1 58.750 (57.361) Prec@5 84.375 (85.189) Epoch: [87][910/11272] Time 0.705 (0.795) Data 0.002 (0.006) Loss 1.4209 (1.5830) Prec@1 61.875 (57.339) Prec@5 88.750 (85.187) Epoch: [87][920/11272] Time 0.759 (0.795) Data 0.001 (0.006) Loss 1.4417 (1.5831) Prec@1 63.125 (57.340) Prec@5 88.750 (85.191) Epoch: [87][930/11272] Time 0.852 (0.795) Data 0.002 (0.006) Loss 1.7656 (1.5830) Prec@1 54.375 (57.346) Prec@5 80.000 (85.189) Epoch: [87][940/11272] Time 0.847 (0.795) Data 0.001 (0.006) Loss 1.5462 (1.5829) Prec@1 59.375 (57.347) Prec@5 85.000 (85.196) Epoch: [87][950/11272] Time 0.732 (0.794) Data 0.002 (0.006) Loss 1.6763 (1.5832) Prec@1 53.125 (57.336) Prec@5 84.375 (85.191) Epoch: [87][960/11272] Time 0.715 (0.794) Data 0.002 (0.006) Loss 1.5765 (1.5833) Prec@1 53.125 (57.334) Prec@5 86.875 (85.181) Epoch: [87][970/11272] Time 0.891 (0.794) Data 0.002 (0.006) Loss 1.7484 (1.5835) Prec@1 53.125 (57.350) Prec@5 84.375 (85.173) Epoch: [87][980/11272] Time 0.844 (0.794) Data 0.001 (0.006) Loss 1.3595 (1.5837) Prec@1 64.375 (57.344) Prec@5 87.500 (85.180) Epoch: [87][990/11272] Time 0.730 (0.794) Data 0.002 (0.005) Loss 1.7371 (1.5846) Prec@1 52.500 (57.318) Prec@5 81.875 (85.175) Epoch: [87][1000/11272] Time 0.708 (0.794) Data 0.002 (0.005) Loss 1.4939 (1.5848) Prec@1 60.625 (57.326) Prec@5 86.250 (85.170) Epoch: [87][1010/11272] Time 0.851 (0.794) Data 0.002 (0.005) Loss 1.8053 (1.5850) Prec@1 50.000 (57.316) Prec@5 85.000 (85.169) Epoch: [87][1020/11272] Time 0.859 (0.794) Data 0.002 (0.005) Loss 1.6348 (1.5849) Prec@1 53.125 (57.307) Prec@5 86.250 (85.169) Epoch: [87][1030/11272] Time 0.754 (0.794) Data 0.001 (0.005) Loss 1.6147 (1.5850) Prec@1 53.750 (57.299) Prec@5 80.625 (85.171) Epoch: [87][1040/11272] Time 0.869 (0.794) Data 0.002 (0.005) Loss 1.3732 (1.5855) Prec@1 61.875 (57.295) Prec@5 87.500 (85.157) Epoch: [87][1050/11272] Time 0.849 (0.795) Data 0.001 (0.005) Loss 1.3991 (1.5850) Prec@1 59.375 (57.294) Prec@5 86.250 (85.161) Epoch: [87][1060/11272] Time 0.715 (0.794) Data 0.002 (0.005) Loss 1.8111 (1.5856) Prec@1 46.250 (57.274) Prec@5 81.250 (85.141) Epoch: [87][1070/11272] Time 0.729 (0.794) Data 0.001 (0.005) Loss 1.7230 (1.5852) Prec@1 53.750 (57.279) Prec@5 81.875 (85.145) Epoch: [87][1080/11272] Time 0.827 (0.794) Data 0.001 (0.005) Loss 1.5537 (1.5854) Prec@1 62.500 (57.270) Prec@5 81.875 (85.142) Epoch: [87][1090/11272] Time 0.844 (0.794) Data 0.002 (0.005) Loss 1.6930 (1.5852) Prec@1 53.750 (57.263) Prec@5 81.875 (85.151) Epoch: [87][1100/11272] Time 0.747 (0.794) Data 0.002 (0.005) Loss 1.6358 (1.5853) Prec@1 58.125 (57.260) Prec@5 83.750 (85.152) Epoch: [87][1110/11272] Time 0.736 (0.794) Data 0.002 (0.005) Loss 1.5974 (1.5856) Prec@1 55.625 (57.238) Prec@5 85.625 (85.152) Epoch: [87][1120/11272] Time 0.848 (0.794) Data 0.002 (0.005) Loss 1.6165 (1.5855) Prec@1 55.000 (57.239) Prec@5 85.625 (85.152) Epoch: [87][1130/11272] Time 0.859 (0.794) Data 0.001 (0.005) Loss 1.2894 (1.5860) Prec@1 64.375 (57.223) Prec@5 88.750 (85.147) Epoch: [87][1140/11272] Time 0.714 (0.794) Data 0.002 (0.005) Loss 1.9468 (1.5861) Prec@1 46.250 (57.221) Prec@5 80.000 (85.146) Epoch: [87][1150/11272] Time 0.730 (0.794) Data 0.002 (0.005) Loss 1.6653 (1.5858) Prec@1 56.875 (57.239) Prec@5 83.750 (85.142) Epoch: [87][1160/11272] Time 0.862 (0.794) Data 0.001 (0.005) Loss 1.5596 (1.5861) Prec@1 59.375 (57.234) Prec@5 83.750 (85.142) Epoch: [87][1170/11272] Time 0.704 (0.794) Data 0.001 (0.005) Loss 1.5640 (1.5859) Prec@1 56.250 (57.242) Prec@5 88.125 (85.152) Epoch: [87][1180/11272] Time 0.726 (0.794) Data 0.001 (0.005) Loss 1.4594 (1.5861) Prec@1 58.125 (57.244) Prec@5 90.000 (85.150) Epoch: [87][1190/11272] Time 0.840 (0.794) Data 0.001 (0.005) Loss 1.5180 (1.5858) Prec@1 55.625 (57.237) Prec@5 87.500 (85.161) Epoch: [87][1200/11272] Time 0.820 (0.794) Data 0.002 (0.005) Loss 1.3076 (1.5850) Prec@1 61.250 (57.249) Prec@5 90.000 (85.173) Epoch: [87][1210/11272] Time 0.717 (0.794) Data 0.002 (0.005) Loss 1.6360 (1.5852) Prec@1 54.375 (57.248) Prec@5 85.000 (85.170) Epoch: [87][1220/11272] Time 0.702 (0.794) Data 0.001 (0.005) Loss 1.6486 (1.5855) Prec@1 56.250 (57.239) Prec@5 86.875 (85.167) Epoch: [87][1230/11272] Time 0.825 (0.794) Data 0.004 (0.005) Loss 1.9720 (1.5858) Prec@1 45.000 (57.237) Prec@5 81.250 (85.165) Epoch: [87][1240/11272] Time 0.832 (0.793) Data 0.002 (0.005) Loss 1.7983 (1.5858) Prec@1 53.750 (57.247) Prec@5 82.500 (85.163) Epoch: [87][1250/11272] Time 0.721 (0.793) Data 0.001 (0.005) Loss 1.8122 (1.5861) Prec@1 55.000 (57.255) Prec@5 79.375 (85.154) Epoch: [87][1260/11272] Time 0.710 (0.793) Data 0.001 (0.005) Loss 1.6449 (1.5861) Prec@1 60.000 (57.254) Prec@5 83.125 (85.160) Epoch: [87][1270/11272] Time 0.844 (0.793) Data 0.001 (0.005) Loss 1.8345 (1.5862) Prec@1 53.750 (57.249) Prec@5 84.375 (85.165) Epoch: [87][1280/11272] Time 0.804 (0.793) Data 0.001 (0.005) Loss 1.2032 (1.5867) Prec@1 65.000 (57.234) Prec@5 91.875 (85.158) Epoch: [87][1290/11272] Time 0.749 (0.793) Data 0.001 (0.005) Loss 1.6099 (1.5867) Prec@1 56.875 (57.235) Prec@5 85.000 (85.155) Epoch: [87][1300/11272] Time 0.828 (0.793) Data 0.002 (0.005) Loss 1.6017 (1.5862) Prec@1 56.250 (57.247) Prec@5 86.250 (85.167) Epoch: [87][1310/11272] Time 0.826 (0.793) Data 0.001 (0.005) Loss 1.5638 (1.5862) Prec@1 57.500 (57.247) Prec@5 87.500 (85.167) Epoch: [87][1320/11272] Time 0.724 (0.793) Data 0.002 (0.004) Loss 1.5223 (1.5861) Prec@1 60.625 (57.254) Prec@5 90.625 (85.172) Epoch: [87][1330/11272] Time 0.725 (0.793) Data 0.001 (0.004) Loss 1.8436 (1.5861) Prec@1 54.375 (57.256) Prec@5 81.250 (85.172) Epoch: [87][1340/11272] Time 0.866 (0.793) Data 0.002 (0.004) Loss 1.4482 (1.5861) Prec@1 57.500 (57.248) Prec@5 88.750 (85.180) Epoch: [87][1350/11272] Time 0.838 (0.793) Data 0.001 (0.004) Loss 1.5822 (1.5858) Prec@1 53.125 (57.249) Prec@5 86.250 (85.190) Epoch: [87][1360/11272] Time 0.711 (0.793) Data 0.002 (0.004) Loss 1.5781 (1.5857) Prec@1 56.875 (57.251) Prec@5 85.625 (85.185) Epoch: [87][1370/11272] Time 0.722 (0.792) Data 0.002 (0.004) Loss 1.6220 (1.5857) Prec@1 58.125 (57.249) Prec@5 85.000 (85.185) Epoch: [87][1380/11272] Time 0.817 (0.793) Data 0.001 (0.004) Loss 1.4793 (1.5857) Prec@1 57.500 (57.251) Prec@5 87.500 (85.183) Epoch: [87][1390/11272] Time 0.842 (0.793) Data 0.001 (0.004) Loss 1.6405 (1.5858) Prec@1 54.375 (57.250) Prec@5 85.625 (85.181) Epoch: [87][1400/11272] Time 0.713 (0.793) Data 0.002 (0.004) Loss 1.4503 (1.5859) Prec@1 58.750 (57.239) Prec@5 86.250 (85.184) Epoch: [87][1410/11272] Time 0.723 (0.792) Data 0.001 (0.004) Loss 1.7071 (1.5860) Prec@1 57.500 (57.231) Prec@5 83.750 (85.184) Epoch: [87][1420/11272] Time 0.854 (0.793) Data 0.002 (0.004) Loss 1.3796 (1.5860) Prec@1 62.500 (57.227) Prec@5 88.750 (85.181) Epoch: [87][1430/11272] Time 0.716 (0.792) Data 0.002 (0.004) Loss 1.4298 (1.5858) Prec@1 61.250 (57.219) Prec@5 85.000 (85.187) Epoch: [87][1440/11272] Time 0.771 (0.792) Data 0.002 (0.004) Loss 1.6486 (1.5856) Prec@1 56.250 (57.225) Prec@5 82.500 (85.193) Epoch: [87][1450/11272] Time 0.838 (0.792) Data 0.002 (0.004) Loss 1.6927 (1.5858) Prec@1 56.250 (57.217) Prec@5 83.125 (85.185) Epoch: [87][1460/11272] Time 0.837 (0.792) Data 0.001 (0.004) Loss 1.4962 (1.5856) Prec@1 60.625 (57.219) Prec@5 85.000 (85.190) Epoch: [87][1470/11272] Time 0.721 (0.792) Data 0.001 (0.004) Loss 1.4404 (1.5855) Prec@1 57.500 (57.224) Prec@5 89.375 (85.193) Epoch: [87][1480/11272] Time 0.753 (0.792) Data 0.006 (0.004) Loss 1.7670 (1.5855) Prec@1 53.750 (57.217) Prec@5 84.375 (85.201) Epoch: [87][1490/11272] Time 0.853 (0.792) Data 0.001 (0.004) Loss 1.6097 (1.5856) Prec@1 58.750 (57.212) Prec@5 83.125 (85.197) Epoch: [87][1500/11272] Time 0.903 (0.792) Data 0.002 (0.004) Loss 1.6044 (1.5855) Prec@1 56.250 (57.216) Prec@5 85.000 (85.202) Epoch: [87][1510/11272] Time 0.741 (0.792) Data 0.002 (0.004) Loss 1.6423 (1.5856) Prec@1 57.500 (57.217) Prec@5 86.250 (85.201) Epoch: [87][1520/11272] Time 0.780 (0.792) Data 0.002 (0.004) Loss 1.5306 (1.5855) Prec@1 54.375 (57.213) Prec@5 89.375 (85.203) Epoch: [87][1530/11272] Time 0.844 (0.792) Data 0.002 (0.004) Loss 1.5035 (1.5859) Prec@1 56.250 (57.209) Prec@5 87.500 (85.197) Epoch: [87][1540/11272] Time 0.917 (0.792) Data 0.003 (0.004) Loss 1.6825 (1.5858) Prec@1 57.500 (57.215) Prec@5 85.000 (85.203) Epoch: [87][1550/11272] Time 0.716 (0.792) Data 0.001 (0.004) Loss 1.4633 (1.5857) Prec@1 61.250 (57.213) Prec@5 85.625 (85.201) Epoch: [87][1560/11272] Time 0.857 (0.792) Data 0.002 (0.004) Loss 1.6576 (1.5854) Prec@1 55.000 (57.224) Prec@5 84.375 (85.212) Epoch: [87][1570/11272] Time 0.837 (0.792) Data 0.001 (0.004) Loss 1.4965 (1.5858) Prec@1 59.375 (57.212) Prec@5 88.125 (85.206) Epoch: [87][1580/11272] Time 0.732 (0.792) Data 0.002 (0.004) Loss 1.6275 (1.5860) Prec@1 58.750 (57.220) Prec@5 83.750 (85.203) Epoch: [87][1590/11272] Time 0.726 (0.792) Data 0.001 (0.004) Loss 1.6599 (1.5862) Prec@1 50.625 (57.212) Prec@5 85.625 (85.193) Epoch: [87][1600/11272] Time 0.846 (0.792) Data 0.001 (0.004) Loss 1.3448 (1.5860) Prec@1 60.625 (57.206) Prec@5 88.750 (85.203) Epoch: [87][1610/11272] Time 0.832 (0.792) Data 0.001 (0.004) Loss 1.5412 (1.5864) Prec@1 55.000 (57.195) Prec@5 88.750 (85.199) Epoch: [87][1620/11272] Time 0.712 (0.792) Data 0.001 (0.004) Loss 1.3423 (1.5863) Prec@1 64.375 (57.202) Prec@5 88.750 (85.195) Epoch: [87][1630/11272] Time 0.731 (0.792) Data 0.001 (0.004) Loss 1.6874 (1.5859) Prec@1 53.750 (57.209) Prec@5 82.500 (85.195) Epoch: [87][1640/11272] Time 0.899 (0.792) Data 0.002 (0.004) Loss 1.4831 (1.5863) Prec@1 61.250 (57.198) Prec@5 85.000 (85.188) Epoch: [87][1650/11272] Time 0.848 (0.792) Data 0.002 (0.004) Loss 1.6406 (1.5864) Prec@1 61.250 (57.202) Prec@5 84.375 (85.186) Epoch: [87][1660/11272] Time 0.744 (0.792) Data 0.001 (0.004) Loss 1.6325 (1.5863) Prec@1 53.750 (57.203) Prec@5 86.875 (85.191) Epoch: [87][1670/11272] Time 0.737 (0.792) Data 0.001 (0.004) Loss 1.6245 (1.5865) Prec@1 50.625 (57.195) Prec@5 86.250 (85.188) Epoch: [87][1680/11272] Time 0.850 (0.792) Data 0.002 (0.004) Loss 1.6510 (1.5865) Prec@1 54.375 (57.191) Prec@5 83.750 (85.193) Epoch: [87][1690/11272] Time 0.740 (0.792) Data 0.002 (0.004) Loss 1.5463 (1.5868) Prec@1 61.250 (57.185) Prec@5 85.625 (85.187) Epoch: [87][1700/11272] Time 0.715 (0.792) Data 0.002 (0.004) Loss 1.7805 (1.5870) Prec@1 55.625 (57.174) Prec@5 81.875 (85.186) Epoch: [87][1710/11272] Time 0.819 (0.792) Data 0.001 (0.004) Loss 1.5920 (1.5872) Prec@1 58.750 (57.177) Prec@5 85.000 (85.177) Epoch: [87][1720/11272] Time 0.829 (0.792) Data 0.001 (0.004) Loss 1.5708 (1.5874) Prec@1 61.250 (57.165) Prec@5 86.250 (85.176) Epoch: [87][1730/11272] Time 0.712 (0.792) Data 0.002 (0.004) Loss 1.7892 (1.5878) Prec@1 53.125 (57.157) Prec@5 78.750 (85.169) Epoch: [87][1740/11272] Time 0.703 (0.792) Data 0.001 (0.004) Loss 1.7309 (1.5878) Prec@1 52.500 (57.150) Prec@5 81.875 (85.171) Epoch: [87][1750/11272] Time 0.831 (0.792) Data 0.002 (0.004) Loss 1.6063 (1.5879) Prec@1 57.500 (57.152) Prec@5 86.250 (85.170) Epoch: [87][1760/11272] Time 0.855 (0.792) Data 0.001 (0.004) Loss 1.6761 (1.5885) Prec@1 55.625 (57.133) Prec@5 81.250 (85.153) Epoch: [87][1770/11272] Time 0.711 (0.792) Data 0.001 (0.004) Loss 1.7412 (1.5889) Prec@1 53.750 (57.114) Prec@5 83.750 (85.154) Epoch: [87][1780/11272] Time 0.733 (0.792) Data 0.002 (0.004) Loss 1.9300 (1.5894) Prec@1 49.375 (57.096) Prec@5 80.000 (85.145) Epoch: [87][1790/11272] Time 0.825 (0.792) Data 0.001 (0.004) Loss 1.5885 (1.5895) Prec@1 59.375 (57.090) Prec@5 84.375 (85.146) Epoch: [87][1800/11272] Time 0.847 (0.792) Data 0.001 (0.004) Loss 1.3042 (1.5892) Prec@1 64.375 (57.095) Prec@5 91.250 (85.151) Epoch: [87][1810/11272] Time 0.696 (0.791) Data 0.001 (0.004) Loss 1.6621 (1.5892) Prec@1 55.625 (57.101) Prec@5 82.500 (85.151) Epoch: [87][1820/11272] Time 0.850 (0.791) Data 0.001 (0.004) Loss 1.5139 (1.5892) Prec@1 60.625 (57.096) Prec@5 85.000 (85.150) Epoch: [87][1830/11272] Time 0.813 (0.791) Data 0.001 (0.004) Loss 1.5682 (1.5894) Prec@1 61.875 (57.089) Prec@5 83.750 (85.148) Epoch: [87][1840/11272] Time 0.719 (0.791) Data 0.001 (0.004) Loss 1.6431 (1.5893) Prec@1 55.625 (57.099) Prec@5 81.875 (85.152) Epoch: [87][1850/11272] Time 0.718 (0.791) Data 0.001 (0.004) Loss 1.7016 (1.5896) Prec@1 55.625 (57.092) Prec@5 81.875 (85.148) Epoch: [87][1860/11272] Time 0.882 (0.791) Data 0.002 (0.004) Loss 1.7259 (1.5899) Prec@1 55.625 (57.086) Prec@5 85.625 (85.144) Epoch: [87][1870/11272] Time 0.833 (0.791) Data 0.002 (0.004) Loss 1.9375 (1.5900) Prec@1 49.375 (57.085) Prec@5 79.375 (85.140) Epoch: [87][1880/11272] Time 0.766 (0.791) Data 0.001 (0.004) Loss 1.5075 (1.5900) Prec@1 56.250 (57.088) Prec@5 88.750 (85.139) Epoch: [87][1890/11272] Time 0.727 (0.791) Data 0.001 (0.004) Loss 1.6417 (1.5903) Prec@1 58.125 (57.078) Prec@5 85.000 (85.133) Epoch: [87][1900/11272] Time 0.841 (0.791) Data 0.002 (0.004) Loss 1.4229 (1.5903) Prec@1 52.500 (57.071) Prec@5 86.250 (85.134) Epoch: [87][1910/11272] Time 0.860 (0.791) Data 0.001 (0.004) Loss 1.6880 (1.5906) Prec@1 56.875 (57.063) Prec@5 85.000 (85.128) Epoch: [87][1920/11272] Time 0.713 (0.791) Data 0.002 (0.004) Loss 1.5880 (1.5907) Prec@1 54.375 (57.059) Prec@5 85.000 (85.130) Epoch: [87][1930/11272] Time 0.718 (0.791) Data 0.002 (0.004) Loss 1.5784 (1.5907) Prec@1 62.500 (57.057) Prec@5 85.000 (85.132) Epoch: [87][1940/11272] Time 0.843 (0.791) Data 0.002 (0.004) Loss 1.5149 (1.5907) Prec@1 58.125 (57.055) Prec@5 86.875 (85.138) Epoch: [87][1950/11272] Time 0.842 (0.791) Data 0.002 (0.004) Loss 1.3940 (1.5901) Prec@1 61.875 (57.065) Prec@5 87.500 (85.143) Epoch: [87][1960/11272] Time 0.730 (0.791) Data 0.002 (0.004) Loss 1.7291 (1.5900) Prec@1 48.125 (57.067) Prec@5 82.500 (85.147) Epoch: [87][1970/11272] Time 0.866 (0.791) Data 0.001 (0.004) Loss 1.6225 (1.5899) Prec@1 56.875 (57.070) Prec@5 85.625 (85.150) Epoch: [87][1980/11272] Time 0.853 (0.791) Data 0.001 (0.003) Loss 1.6419 (1.5904) Prec@1 55.000 (57.057) Prec@5 82.500 (85.139) Epoch: [87][1990/11272] Time 0.724 (0.791) Data 0.002 (0.003) Loss 1.6091 (1.5901) Prec@1 51.875 (57.062) Prec@5 84.375 (85.143) Epoch: [87][2000/11272] Time 0.715 (0.791) Data 0.002 (0.003) Loss 1.7621 (1.5900) Prec@1 53.125 (57.068) Prec@5 80.625 (85.142) Epoch: [87][2010/11272] Time 0.867 (0.791) Data 0.001 (0.003) Loss 1.5972 (1.5899) Prec@1 53.125 (57.065) Prec@5 85.625 (85.146) Epoch: [87][2020/11272] Time 0.806 (0.791) Data 0.001 (0.003) Loss 1.5460 (1.5898) Prec@1 57.500 (57.066) Prec@5 88.125 (85.150) Epoch: [87][2030/11272] Time 0.739 (0.790) Data 0.002 (0.003) Loss 1.5335 (1.5892) Prec@1 58.750 (57.080) Prec@5 84.375 (85.159) Epoch: [87][2040/11272] Time 0.743 (0.790) Data 0.001 (0.003) Loss 1.5277 (1.5895) Prec@1 55.000 (57.071) Prec@5 87.500 (85.156) Epoch: [87][2050/11272] Time 0.852 (0.790) Data 0.002 (0.003) Loss 1.8486 (1.5894) Prec@1 54.375 (57.072) Prec@5 80.000 (85.156) Epoch: [87][2060/11272] Time 0.817 (0.790) Data 0.001 (0.003) Loss 1.8490 (1.5894) Prec@1 53.125 (57.073) Prec@5 81.875 (85.158) Epoch: [87][2070/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.6835 (1.5895) Prec@1 50.000 (57.069) Prec@5 87.500 (85.157) Epoch: [87][2080/11272] Time 0.702 (0.790) Data 0.001 (0.003) Loss 1.5687 (1.5893) Prec@1 56.875 (57.066) Prec@5 84.375 (85.162) Epoch: [87][2090/11272] Time 0.851 (0.790) Data 0.001 (0.003) Loss 1.4415 (1.5892) Prec@1 61.250 (57.073) Prec@5 85.625 (85.162) Epoch: [87][2100/11272] Time 0.714 (0.790) Data 0.003 (0.003) Loss 1.7819 (1.5892) Prec@1 51.875 (57.070) Prec@5 84.375 (85.168) Epoch: [87][2110/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.5163 (1.5890) Prec@1 61.250 (57.078) Prec@5 86.250 (85.174) Epoch: [87][2120/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.5513 (1.5886) Prec@1 61.875 (57.092) Prec@5 83.750 (85.177) Epoch: [87][2130/11272] Time 0.874 (0.790) Data 0.002 (0.003) Loss 1.7755 (1.5888) Prec@1 51.875 (57.083) Prec@5 83.750 (85.176) Epoch: [87][2140/11272] Time 0.763 (0.790) Data 0.002 (0.003) Loss 1.4826 (1.5892) Prec@1 60.625 (57.074) Prec@5 83.750 (85.166) Epoch: [87][2150/11272] Time 0.749 (0.790) Data 0.002 (0.003) Loss 1.7795 (1.5894) Prec@1 55.000 (57.069) Prec@5 78.750 (85.158) Epoch: [87][2160/11272] Time 0.901 (0.790) Data 0.003 (0.003) Loss 1.5700 (1.5897) Prec@1 58.750 (57.062) Prec@5 91.250 (85.156) Epoch: [87][2170/11272] Time 0.841 (0.790) Data 0.001 (0.003) Loss 1.8167 (1.5900) Prec@1 53.750 (57.062) Prec@5 80.625 (85.148) Epoch: [87][2180/11272] Time 0.729 (0.790) Data 0.001 (0.003) Loss 1.6548 (1.5900) Prec@1 54.375 (57.062) Prec@5 86.250 (85.148) Epoch: [87][2190/11272] Time 0.744 (0.790) Data 0.002 (0.003) Loss 1.7267 (1.5900) Prec@1 53.750 (57.065) Prec@5 81.875 (85.148) Epoch: [87][2200/11272] Time 0.841 (0.790) Data 0.001 (0.003) Loss 1.4631 (1.5902) Prec@1 58.125 (57.056) Prec@5 86.250 (85.138) Epoch: [87][2210/11272] Time 0.860 (0.790) Data 0.002 (0.003) Loss 1.6259 (1.5903) Prec@1 59.375 (57.055) Prec@5 83.750 (85.136) Epoch: [87][2220/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.7433 (1.5905) Prec@1 57.500 (57.054) Prec@5 85.000 (85.131) Epoch: [87][2230/11272] Time 0.848 (0.790) Data 0.002 (0.003) Loss 1.5158 (1.5907) Prec@1 58.125 (57.053) Prec@5 86.250 (85.127) Epoch: [87][2240/11272] Time 0.900 (0.790) Data 0.002 (0.003) Loss 1.6902 (1.5906) Prec@1 52.500 (57.058) Prec@5 84.375 (85.129) Epoch: [87][2250/11272] Time 0.725 (0.790) Data 0.001 (0.003) Loss 1.6339 (1.5907) Prec@1 57.500 (57.058) Prec@5 83.750 (85.129) Epoch: [87][2260/11272] Time 0.741 (0.790) Data 0.002 (0.003) Loss 1.6240 (1.5907) Prec@1 60.625 (57.058) Prec@5 84.375 (85.129) Epoch: [87][2270/11272] Time 0.833 (0.790) Data 0.001 (0.003) Loss 1.5856 (1.5908) Prec@1 61.250 (57.057) Prec@5 83.125 (85.128) Epoch: [87][2280/11272] Time 0.884 (0.790) Data 0.001 (0.003) Loss 1.5023 (1.5908) Prec@1 58.125 (57.056) Prec@5 85.000 (85.124) Epoch: [87][2290/11272] Time 0.772 (0.790) Data 0.002 (0.003) Loss 1.5845 (1.5909) Prec@1 60.625 (57.060) Prec@5 86.250 (85.129) Epoch: [87][2300/11272] Time 0.740 (0.790) Data 0.001 (0.003) Loss 2.0149 (1.5911) Prec@1 47.500 (57.050) Prec@5 79.375 (85.122) Epoch: [87][2310/11272] Time 0.865 (0.790) Data 0.002 (0.003) Loss 1.7026 (1.5909) Prec@1 56.250 (57.056) Prec@5 81.875 (85.126) Epoch: [87][2320/11272] Time 0.837 (0.790) Data 0.002 (0.003) Loss 1.8305 (1.5910) Prec@1 48.125 (57.054) Prec@5 83.125 (85.125) Epoch: [87][2330/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.3662 (1.5911) Prec@1 65.625 (57.051) Prec@5 86.875 (85.125) Epoch: [87][2340/11272] Time 0.751 (0.790) Data 0.004 (0.003) Loss 1.8058 (1.5911) Prec@1 51.875 (57.053) Prec@5 79.375 (85.129) Epoch: [87][2350/11272] Time 0.863 (0.790) Data 0.001 (0.003) Loss 1.6627 (1.5912) Prec@1 54.375 (57.052) Prec@5 82.500 (85.128) Epoch: [87][2360/11272] Time 0.725 (0.790) Data 0.003 (0.003) Loss 1.3651 (1.5911) Prec@1 62.500 (57.049) Prec@5 89.375 (85.131) Epoch: [87][2370/11272] Time 0.788 (0.790) Data 0.001 (0.003) Loss 1.4219 (1.5909) Prec@1 59.375 (57.055) Prec@5 90.000 (85.135) Epoch: [87][2380/11272] Time 0.863 (0.790) Data 0.002 (0.003) Loss 1.4541 (1.5909) Prec@1 60.625 (57.053) Prec@5 91.250 (85.134) Epoch: [87][2390/11272] Time 0.851 (0.790) Data 0.001 (0.003) Loss 1.7028 (1.5909) Prec@1 52.500 (57.052) Prec@5 83.750 (85.135) Epoch: [87][2400/11272] Time 0.754 (0.790) Data 0.002 (0.003) Loss 1.4569 (1.5909) Prec@1 61.250 (57.052) Prec@5 83.750 (85.132) Epoch: [87][2410/11272] Time 0.723 (0.790) Data 0.002 (0.003) Loss 1.5799 (1.5908) Prec@1 59.375 (57.057) Prec@5 82.500 (85.137) Epoch: [87][2420/11272] Time 0.829 (0.790) Data 0.001 (0.003) Loss 1.6106 (1.5909) Prec@1 56.250 (57.054) Prec@5 84.375 (85.133) Epoch: [87][2430/11272] Time 0.922 (0.790) Data 0.002 (0.003) Loss 1.6306 (1.5909) Prec@1 56.875 (57.057) Prec@5 81.875 (85.133) Epoch: [87][2440/11272] Time 0.732 (0.790) Data 0.002 (0.003) Loss 1.4827 (1.5907) Prec@1 58.125 (57.059) Prec@5 87.500 (85.136) Epoch: [87][2450/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 1.5772 (1.5907) Prec@1 56.875 (57.055) Prec@5 83.125 (85.135) Epoch: [87][2460/11272] Time 0.867 (0.790) Data 0.001 (0.003) Loss 1.7512 (1.5907) Prec@1 51.250 (57.050) Prec@5 83.125 (85.133) Epoch: [87][2470/11272] Time 0.848 (0.790) Data 0.001 (0.003) Loss 1.7664 (1.5909) Prec@1 53.125 (57.041) Prec@5 82.500 (85.131) Epoch: [87][2480/11272] Time 0.732 (0.790) Data 0.002 (0.003) Loss 1.6459 (1.5911) Prec@1 58.125 (57.039) Prec@5 84.375 (85.127) Epoch: [87][2490/11272] Time 0.865 (0.790) Data 0.001 (0.003) Loss 1.2841 (1.5909) Prec@1 61.875 (57.041) Prec@5 85.625 (85.128) Epoch: [87][2500/11272] Time 0.836 (0.790) Data 0.001 (0.003) Loss 1.4803 (1.5910) Prec@1 56.875 (57.038) Prec@5 86.875 (85.122) Epoch: [87][2510/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.5882 (1.5911) Prec@1 58.125 (57.035) Prec@5 83.750 (85.118) Epoch: [87][2520/11272] Time 0.696 (0.790) Data 0.001 (0.003) Loss 1.7189 (1.5910) Prec@1 59.375 (57.040) Prec@5 78.750 (85.118) Epoch: [87][2530/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.7591 (1.5911) Prec@1 53.125 (57.041) Prec@5 82.500 (85.114) Epoch: [87][2540/11272] Time 0.851 (0.790) Data 0.001 (0.003) Loss 1.4990 (1.5908) Prec@1 56.875 (57.047) Prec@5 86.875 (85.119) Epoch: [87][2550/11272] Time 0.746 (0.790) Data 0.002 (0.003) Loss 1.4705 (1.5906) Prec@1 57.500 (57.048) Prec@5 88.125 (85.122) Epoch: [87][2560/11272] Time 0.752 (0.790) Data 0.002 (0.003) Loss 1.4986 (1.5906) Prec@1 58.750 (57.044) Prec@5 86.250 (85.122) Epoch: [87][2570/11272] Time 0.867 (0.790) Data 0.001 (0.003) Loss 1.7883 (1.5906) Prec@1 54.375 (57.047) Prec@5 83.125 (85.119) Epoch: [87][2580/11272] Time 0.864 (0.790) Data 0.001 (0.003) Loss 1.4841 (1.5907) Prec@1 60.625 (57.043) Prec@5 88.750 (85.122) Epoch: [87][2590/11272] Time 0.742 (0.790) Data 0.001 (0.003) Loss 1.4350 (1.5906) Prec@1 61.250 (57.054) Prec@5 90.625 (85.122) Epoch: [87][2600/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.7758 (1.5906) Prec@1 53.750 (57.058) Prec@5 80.000 (85.119) Epoch: [87][2610/11272] Time 0.858 (0.790) Data 0.002 (0.003) Loss 1.5894 (1.5907) Prec@1 56.875 (57.056) Prec@5 87.500 (85.120) Epoch: [87][2620/11272] Time 0.701 (0.790) Data 0.002 (0.003) Loss 1.7193 (1.5908) Prec@1 53.125 (57.050) Prec@5 86.250 (85.116) Epoch: [87][2630/11272] Time 0.753 (0.790) Data 0.002 (0.003) Loss 1.5684 (1.5911) Prec@1 58.750 (57.042) Prec@5 84.375 (85.111) Epoch: [87][2640/11272] Time 0.847 (0.790) Data 0.002 (0.003) Loss 1.4766 (1.5910) Prec@1 65.000 (57.042) Prec@5 87.500 (85.112) Epoch: [87][2650/11272] Time 0.854 (0.790) Data 0.001 (0.003) Loss 1.5571 (1.5910) Prec@1 54.375 (57.046) Prec@5 88.125 (85.115) Epoch: [87][2660/11272] Time 0.752 (0.790) Data 0.001 (0.003) Loss 1.6618 (1.5912) Prec@1 53.125 (57.043) Prec@5 82.500 (85.109) Epoch: [87][2670/11272] Time 0.726 (0.790) Data 0.002 (0.003) Loss 1.4551 (1.5910) Prec@1 60.000 (57.050) Prec@5 90.625 (85.112) Epoch: [87][2680/11272] Time 0.849 (0.790) Data 0.002 (0.003) Loss 1.6489 (1.5910) Prec@1 56.250 (57.051) Prec@5 86.875 (85.118) Epoch: [87][2690/11272] Time 0.853 (0.790) Data 0.001 (0.003) Loss 1.5800 (1.5911) Prec@1 55.000 (57.047) Prec@5 85.000 (85.117) Epoch: [87][2700/11272] Time 0.727 (0.790) Data 0.001 (0.003) Loss 1.5730 (1.5913) Prec@1 55.625 (57.046) Prec@5 86.250 (85.115) Epoch: [87][2710/11272] Time 0.742 (0.790) Data 0.001 (0.003) Loss 1.5971 (1.5911) Prec@1 55.625 (57.048) Prec@5 83.125 (85.117) Epoch: [87][2720/11272] Time 0.843 (0.790) Data 0.001 (0.003) Loss 1.5975 (1.5911) Prec@1 61.250 (57.046) Prec@5 86.250 (85.119) Epoch: [87][2730/11272] Time 0.851 (0.790) Data 0.002 (0.003) Loss 1.4097 (1.5909) Prec@1 63.750 (57.050) Prec@5 87.500 (85.124) Epoch: [87][2740/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.5823 (1.5910) Prec@1 55.000 (57.046) Prec@5 88.125 (85.124) Epoch: [87][2750/11272] Time 0.871 (0.790) Data 0.001 (0.003) Loss 1.4491 (1.5910) Prec@1 62.500 (57.049) Prec@5 88.125 (85.122) Epoch: [87][2760/11272] Time 0.894 (0.790) Data 0.003 (0.003) Loss 1.8522 (1.5912) Prec@1 49.375 (57.050) Prec@5 81.875 (85.121) Epoch: [87][2770/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.5335 (1.5912) Prec@1 58.750 (57.054) Prec@5 87.500 (85.122) Epoch: [87][2780/11272] Time 0.728 (0.790) Data 0.001 (0.003) Loss 1.5487 (1.5910) Prec@1 58.125 (57.055) Prec@5 87.500 (85.129) Epoch: [87][2790/11272] Time 0.890 (0.790) Data 0.001 (0.003) Loss 1.7862 (1.5910) Prec@1 51.875 (57.053) Prec@5 78.125 (85.127) Epoch: [87][2800/11272] Time 0.824 (0.790) Data 0.002 (0.003) Loss 1.4935 (1.5911) Prec@1 58.750 (57.051) Prec@5 88.750 (85.122) Epoch: [87][2810/11272] Time 0.730 (0.790) Data 0.001 (0.003) Loss 1.7819 (1.5912) Prec@1 49.375 (57.045) Prec@5 85.000 (85.129) Epoch: [87][2820/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.6276 (1.5913) Prec@1 53.125 (57.050) Prec@5 84.375 (85.122) Epoch: [87][2830/11272] Time 0.880 (0.790) Data 0.001 (0.003) Loss 1.7241 (1.5912) Prec@1 50.625 (57.049) Prec@5 82.500 (85.122) Epoch: [87][2840/11272] Time 0.818 (0.790) Data 0.001 (0.003) Loss 1.6544 (1.5914) Prec@1 54.375 (57.049) Prec@5 84.375 (85.120) Epoch: [87][2850/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 1.5079 (1.5915) Prec@1 63.125 (57.045) Prec@5 86.875 (85.114) Epoch: [87][2860/11272] Time 0.700 (0.790) Data 0.002 (0.003) Loss 1.6121 (1.5917) Prec@1 58.750 (57.042) Prec@5 83.125 (85.112) Epoch: [87][2870/11272] Time 0.846 (0.790) Data 0.002 (0.003) Loss 1.6748 (1.5914) Prec@1 51.875 (57.050) Prec@5 83.750 (85.124) Epoch: [87][2880/11272] Time 0.836 (0.790) Data 0.002 (0.003) Loss 1.6869 (1.5914) Prec@1 51.250 (57.044) Prec@5 85.000 (85.122) Epoch: [87][2890/11272] Time 0.734 (0.790) Data 0.002 (0.003) Loss 1.5604 (1.5913) Prec@1 53.125 (57.045) Prec@5 88.125 (85.125) Epoch: [87][2900/11272] Time 0.829 (0.790) Data 0.002 (0.003) Loss 1.6299 (1.5915) Prec@1 55.625 (57.040) Prec@5 85.000 (85.125) Epoch: [87][2910/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.6823 (1.5913) Prec@1 55.625 (57.044) Prec@5 81.875 (85.126) Epoch: [87][2920/11272] Time 0.737 (0.790) Data 0.002 (0.003) Loss 1.6235 (1.5914) Prec@1 57.500 (57.046) Prec@5 83.125 (85.124) Epoch: [87][2930/11272] Time 0.766 (0.790) Data 0.002 (0.003) Loss 1.4060 (1.5916) Prec@1 60.625 (57.045) Prec@5 85.625 (85.118) Epoch: [87][2940/11272] Time 0.882 (0.790) Data 0.002 (0.003) Loss 1.4825 (1.5918) Prec@1 63.125 (57.045) Prec@5 83.125 (85.110) Epoch: [87][2950/11272] Time 0.849 (0.790) Data 0.001 (0.003) Loss 1.7333 (1.5919) Prec@1 51.250 (57.044) Prec@5 84.375 (85.108) Epoch: [87][2960/11272] Time 0.749 (0.790) Data 0.002 (0.003) Loss 1.3853 (1.5918) Prec@1 64.375 (57.043) Prec@5 85.625 (85.108) Epoch: [87][2970/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 1.5029 (1.5916) Prec@1 60.625 (57.048) Prec@5 85.625 (85.111) Epoch: [87][2980/11272] Time 0.833 (0.790) Data 0.001 (0.003) Loss 1.7861 (1.5917) Prec@1 51.250 (57.048) Prec@5 82.500 (85.106) Epoch: [87][2990/11272] Time 0.847 (0.790) Data 0.002 (0.003) Loss 1.5134 (1.5916) Prec@1 58.125 (57.048) Prec@5 83.125 (85.105) Epoch: [87][3000/11272] Time 0.738 (0.790) Data 0.002 (0.003) Loss 1.3474 (1.5916) Prec@1 58.750 (57.049) Prec@5 88.125 (85.107) Epoch: [87][3010/11272] Time 0.766 (0.790) Data 0.002 (0.003) Loss 1.4226 (1.5915) Prec@1 63.125 (57.053) Prec@5 86.875 (85.108) Epoch: [87][3020/11272] Time 0.800 (0.790) Data 0.001 (0.003) Loss 1.7825 (1.5914) Prec@1 50.000 (57.054) Prec@5 81.875 (85.108) Epoch: [87][3030/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.5956 (1.5915) Prec@1 62.500 (57.055) Prec@5 81.875 (85.108) Epoch: [87][3040/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 1.5332 (1.5915) Prec@1 60.000 (57.056) Prec@5 84.375 (85.109) Epoch: [87][3050/11272] Time 0.838 (0.790) Data 0.001 (0.003) Loss 1.9456 (1.5918) Prec@1 54.375 (57.045) Prec@5 77.500 (85.102) Epoch: [87][3060/11272] Time 0.836 (0.790) Data 0.002 (0.003) Loss 1.7320 (1.5921) Prec@1 57.500 (57.039) Prec@5 81.875 (85.100) Epoch: [87][3070/11272] Time 0.707 (0.790) Data 0.001 (0.003) Loss 1.5099 (1.5921) Prec@1 55.625 (57.038) Prec@5 86.875 (85.102) Epoch: [87][3080/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.6629 (1.5920) Prec@1 59.375 (57.043) Prec@5 83.750 (85.102) Epoch: [87][3090/11272] Time 0.829 (0.790) Data 0.001 (0.003) Loss 1.6344 (1.5921) Prec@1 58.750 (57.041) Prec@5 83.125 (85.100) Epoch: [87][3100/11272] Time 0.834 (0.790) Data 0.002 (0.003) Loss 1.8163 (1.5920) Prec@1 51.250 (57.042) Prec@5 81.250 (85.100) Epoch: [87][3110/11272] Time 0.748 (0.790) Data 0.002 (0.003) Loss 1.5709 (1.5918) Prec@1 54.375 (57.045) Prec@5 88.750 (85.106) Epoch: [87][3120/11272] Time 0.714 (0.790) Data 0.002 (0.003) Loss 1.4014 (1.5917) Prec@1 58.750 (57.046) Prec@5 88.125 (85.111) Epoch: [87][3130/11272] Time 0.870 (0.790) Data 0.002 (0.003) Loss 1.2973 (1.5919) Prec@1 60.000 (57.040) Prec@5 92.500 (85.107) Epoch: [87][3140/11272] Time 0.833 (0.790) Data 0.002 (0.003) Loss 1.4484 (1.5919) Prec@1 60.625 (57.039) Prec@5 90.625 (85.109) Epoch: [87][3150/11272] Time 0.729 (0.790) Data 0.002 (0.003) Loss 1.6378 (1.5918) Prec@1 57.500 (57.042) Prec@5 84.375 (85.109) Epoch: [87][3160/11272] Time 0.854 (0.790) Data 0.001 (0.003) Loss 1.6805 (1.5916) Prec@1 55.625 (57.041) Prec@5 85.000 (85.113) Epoch: [87][3170/11272] Time 0.796 (0.790) Data 0.001 (0.003) Loss 1.6402 (1.5918) Prec@1 59.375 (57.041) Prec@5 83.125 (85.109) Epoch: [87][3180/11272] Time 0.732 (0.790) Data 0.001 (0.003) Loss 1.4552 (1.5917) Prec@1 56.250 (57.042) Prec@5 88.750 (85.113) Epoch: [87][3190/11272] Time 0.738 (0.790) Data 0.002 (0.003) Loss 1.4213 (1.5915) Prec@1 58.750 (57.046) Prec@5 90.000 (85.115) Epoch: [87][3200/11272] Time 0.882 (0.790) Data 0.001 (0.003) Loss 1.6673 (1.5915) Prec@1 58.125 (57.046) Prec@5 85.000 (85.117) Epoch: [87][3210/11272] Time 0.834 (0.790) Data 0.001 (0.003) Loss 1.6682 (1.5916) Prec@1 53.125 (57.046) Prec@5 85.625 (85.120) Epoch: [87][3220/11272] Time 0.696 (0.790) Data 0.001 (0.003) Loss 1.4689 (1.5916) Prec@1 55.000 (57.047) Prec@5 86.875 (85.119) Epoch: [87][3230/11272] Time 0.720 (0.790) Data 0.001 (0.003) Loss 1.5953 (1.5918) Prec@1 55.625 (57.037) Prec@5 84.375 (85.121) Epoch: [87][3240/11272] Time 0.803 (0.790) Data 0.001 (0.003) Loss 1.4939 (1.5918) Prec@1 55.625 (57.032) Prec@5 86.875 (85.120) Epoch: [87][3250/11272] Time 0.829 (0.790) Data 0.002 (0.003) Loss 1.5957 (1.5918) Prec@1 55.625 (57.035) Prec@5 84.375 (85.123) Epoch: [87][3260/11272] Time 0.742 (0.790) Data 0.002 (0.003) Loss 1.5951 (1.5918) Prec@1 54.375 (57.036) Prec@5 87.500 (85.124) Epoch: [87][3270/11272] Time 0.717 (0.790) Data 0.001 (0.003) Loss 1.5252 (1.5916) Prec@1 55.000 (57.035) Prec@5 85.000 (85.129) Epoch: [87][3280/11272] Time 0.856 (0.790) Data 0.002 (0.003) Loss 1.8125 (1.5916) Prec@1 48.750 (57.036) Prec@5 83.125 (85.129) Epoch: [87][3290/11272] Time 0.743 (0.790) Data 0.003 (0.003) Loss 1.4025 (1.5917) Prec@1 59.375 (57.038) Prec@5 90.000 (85.127) Epoch: [87][3300/11272] Time 0.714 (0.790) Data 0.002 (0.003) Loss 1.5904 (1.5918) Prec@1 58.750 (57.037) Prec@5 84.375 (85.127) Epoch: [87][3310/11272] Time 0.826 (0.790) Data 0.001 (0.003) Loss 1.6640 (1.5919) Prec@1 56.875 (57.033) Prec@5 86.875 (85.128) Epoch: [87][3320/11272] Time 0.804 (0.790) Data 0.001 (0.003) Loss 1.5500 (1.5918) Prec@1 63.750 (57.038) Prec@5 86.250 (85.130) Epoch: [87][3330/11272] Time 0.727 (0.790) Data 0.002 (0.003) Loss 1.6340 (1.5919) Prec@1 58.750 (57.036) Prec@5 85.000 (85.130) Epoch: [87][3340/11272] Time 0.721 (0.790) Data 0.001 (0.003) Loss 1.8471 (1.5920) Prec@1 53.125 (57.030) Prec@5 83.125 (85.128) Epoch: [87][3350/11272] Time 0.852 (0.790) Data 0.001 (0.003) Loss 1.5299 (1.5920) Prec@1 56.250 (57.027) Prec@5 85.625 (85.128) Epoch: [87][3360/11272] Time 0.842 (0.790) Data 0.001 (0.003) Loss 1.8085 (1.5922) Prec@1 53.750 (57.026) Prec@5 78.125 (85.122) Epoch: [87][3370/11272] Time 0.717 (0.790) Data 0.001 (0.003) Loss 1.8028 (1.5923) Prec@1 51.250 (57.023) Prec@5 81.250 (85.119) Epoch: [87][3380/11272] Time 0.705 (0.790) Data 0.002 (0.003) Loss 1.7241 (1.5925) Prec@1 51.875 (57.015) Prec@5 83.125 (85.118) Epoch: [87][3390/11272] Time 0.894 (0.790) Data 0.002 (0.003) Loss 1.6633 (1.5925) Prec@1 56.250 (57.018) Prec@5 83.125 (85.121) Epoch: [87][3400/11272] Time 0.900 (0.790) Data 0.002 (0.003) Loss 1.4182 (1.5924) Prec@1 60.625 (57.021) Prec@5 89.375 (85.123) Epoch: [87][3410/11272] Time 0.733 (0.790) Data 0.001 (0.003) Loss 1.7277 (1.5924) Prec@1 53.125 (57.018) Prec@5 83.750 (85.122) Epoch: [87][3420/11272] Time 0.847 (0.790) Data 0.001 (0.003) Loss 1.5546 (1.5923) Prec@1 61.250 (57.020) Prec@5 87.500 (85.125) Epoch: [87][3430/11272] Time 0.823 (0.790) Data 0.001 (0.003) Loss 1.5021 (1.5924) Prec@1 60.000 (57.015) Prec@5 90.000 (85.126) Epoch: [87][3440/11272] Time 0.720 (0.790) Data 0.001 (0.003) Loss 1.6185 (1.5923) Prec@1 60.625 (57.016) Prec@5 83.750 (85.126) Epoch: [87][3450/11272] Time 0.707 (0.790) Data 0.001 (0.003) Loss 1.6495 (1.5926) Prec@1 54.375 (57.008) Prec@5 86.250 (85.122) Epoch: [87][3460/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.7479 (1.5927) Prec@1 52.500 (57.009) Prec@5 87.500 (85.122) Epoch: [87][3470/11272] Time 0.844 (0.790) Data 0.002 (0.003) Loss 1.6951 (1.5929) Prec@1 56.875 (57.006) Prec@5 83.125 (85.121) Epoch: [87][3480/11272] Time 0.727 (0.790) Data 0.002 (0.003) Loss 1.7522 (1.5928) Prec@1 56.250 (57.005) Prec@5 82.500 (85.122) Epoch: [87][3490/11272] Time 0.755 (0.790) Data 0.006 (0.003) Loss 1.6356 (1.5927) Prec@1 55.000 (57.007) Prec@5 86.250 (85.125) Epoch: [87][3500/11272] Time 0.894 (0.790) Data 0.002 (0.003) Loss 1.6528 (1.5930) Prec@1 57.500 (57.002) Prec@5 85.625 (85.123) Epoch: [87][3510/11272] Time 0.853 (0.790) Data 0.002 (0.003) Loss 1.6247 (1.5929) Prec@1 56.875 (57.003) Prec@5 83.750 (85.125) Epoch: [87][3520/11272] Time 0.727 (0.790) Data 0.002 (0.003) Loss 1.6031 (1.5929) Prec@1 56.875 (57.005) Prec@5 85.000 (85.125) Epoch: [87][3530/11272] Time 0.736 (0.790) Data 0.002 (0.003) Loss 1.6334 (1.5930) Prec@1 53.750 (57.008) Prec@5 85.000 (85.124) Epoch: [87][3540/11272] Time 0.822 (0.790) Data 0.002 (0.003) Loss 1.5405 (1.5929) Prec@1 55.000 (57.011) Prec@5 85.000 (85.125) Epoch: [87][3550/11272] Time 0.730 (0.790) Data 0.004 (0.003) Loss 1.4325 (1.5928) Prec@1 62.500 (57.014) Prec@5 86.875 (85.127) Epoch: [87][3560/11272] Time 0.749 (0.790) Data 0.001 (0.003) Loss 1.4769 (1.5928) Prec@1 57.500 (57.009) Prec@5 88.125 (85.128) Epoch: [87][3570/11272] Time 0.825 (0.790) Data 0.001 (0.003) Loss 1.5689 (1.5928) Prec@1 57.500 (57.008) Prec@5 86.250 (85.129) Epoch: [87][3580/11272] Time 0.830 (0.790) Data 0.002 (0.003) Loss 1.4076 (1.5926) Prec@1 65.000 (57.006) Prec@5 88.750 (85.131) Epoch: [87][3590/11272] Time 0.740 (0.790) Data 0.001 (0.003) Loss 1.8289 (1.5928) Prec@1 55.625 (57.006) Prec@5 85.000 (85.131) Epoch: [87][3600/11272] Time 0.739 (0.790) Data 0.002 (0.003) Loss 1.5263 (1.5928) Prec@1 60.625 (57.007) Prec@5 84.375 (85.129) Epoch: [87][3610/11272] Time 0.824 (0.790) Data 0.001 (0.003) Loss 1.6570 (1.5925) Prec@1 57.500 (57.015) Prec@5 85.000 (85.132) Epoch: [87][3620/11272] Time 0.840 (0.790) Data 0.002 (0.003) Loss 1.5724 (1.5927) Prec@1 60.000 (57.011) Prec@5 84.375 (85.132) Epoch: [87][3630/11272] Time 0.724 (0.790) Data 0.001 (0.003) Loss 1.6639 (1.5928) Prec@1 55.625 (57.007) Prec@5 83.750 (85.130) Epoch: [87][3640/11272] Time 0.722 (0.790) Data 0.001 (0.003) Loss 1.4686 (1.5929) Prec@1 62.500 (57.008) Prec@5 85.000 (85.124) Epoch: [87][3650/11272] Time 0.830 (0.790) Data 0.001 (0.003) Loss 1.4315 (1.5929) Prec@1 62.500 (57.007) Prec@5 85.625 (85.124) Epoch: [87][3660/11272] Time 0.813 (0.790) Data 0.001 (0.003) Loss 1.7166 (1.5929) Prec@1 55.000 (57.008) Prec@5 83.750 (85.124) Epoch: [87][3670/11272] Time 0.721 (0.790) Data 0.001 (0.003) Loss 1.4123 (1.5927) Prec@1 60.000 (57.014) Prec@5 86.250 (85.127) Epoch: [87][3680/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.4755 (1.5926) Prec@1 56.250 (57.014) Prec@5 88.750 (85.130) Epoch: [87][3690/11272] Time 0.852 (0.790) Data 0.002 (0.003) Loss 1.6307 (1.5927) Prec@1 56.875 (57.012) Prec@5 83.125 (85.127) Epoch: [87][3700/11272] Time 0.725 (0.790) Data 0.001 (0.003) Loss 1.5404 (1.5927) Prec@1 56.875 (57.007) Prec@5 89.375 (85.127) Epoch: [87][3710/11272] Time 0.739 (0.790) Data 0.001 (0.003) Loss 1.6846 (1.5929) Prec@1 56.250 (57.003) Prec@5 84.375 (85.123) Epoch: [87][3720/11272] Time 0.828 (0.790) Data 0.001 (0.003) Loss 1.5924 (1.5929) Prec@1 56.875 (57.002) Prec@5 86.875 (85.123) Epoch: [87][3730/11272] Time 0.786 (0.790) Data 0.002 (0.003) Loss 1.6109 (1.5930) Prec@1 52.500 (57.000) Prec@5 85.625 (85.120) Epoch: [87][3740/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.4529 (1.5929) Prec@1 55.625 (57.004) Prec@5 90.625 (85.123) Epoch: [87][3750/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.5994 (1.5930) Prec@1 56.250 (56.999) Prec@5 87.500 (85.121) Epoch: [87][3760/11272] Time 0.783 (0.790) Data 0.001 (0.003) Loss 1.3985 (1.5928) Prec@1 63.750 (57.004) Prec@5 83.750 (85.126) Epoch: [87][3770/11272] Time 0.878 (0.790) Data 0.002 (0.003) Loss 1.3807 (1.5926) Prec@1 56.875 (57.010) Prec@5 91.250 (85.128) Epoch: [87][3780/11272] Time 0.709 (0.790) Data 0.001 (0.003) Loss 1.6276 (1.5925) Prec@1 55.000 (57.012) Prec@5 82.500 (85.130) Epoch: [87][3790/11272] Time 0.716 (0.790) Data 0.001 (0.003) Loss 1.7637 (1.5925) Prec@1 50.625 (57.010) Prec@5 85.000 (85.131) Epoch: [87][3800/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.6055 (1.5927) Prec@1 58.750 (57.011) Prec@5 85.625 (85.130) Epoch: [87][3810/11272] Time 0.812 (0.790) Data 0.001 (0.003) Loss 1.6293 (1.5925) Prec@1 59.375 (57.017) Prec@5 83.125 (85.131) Epoch: [87][3820/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.6521 (1.5925) Prec@1 51.875 (57.014) Prec@5 84.375 (85.130) Epoch: [87][3830/11272] Time 0.874 (0.790) Data 0.001 (0.003) Loss 1.7025 (1.5926) Prec@1 53.125 (57.013) Prec@5 83.750 (85.129) Epoch: [87][3840/11272] Time 0.838 (0.790) Data 0.001 (0.003) Loss 1.6513 (1.5925) Prec@1 51.875 (57.017) Prec@5 87.500 (85.131) Epoch: [87][3850/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.6407 (1.5926) Prec@1 60.625 (57.015) Prec@5 84.375 (85.128) Epoch: [87][3860/11272] Time 0.733 (0.790) Data 0.001 (0.003) Loss 1.5869 (1.5927) Prec@1 58.125 (57.017) Prec@5 84.375 (85.126) Epoch: [87][3870/11272] Time 0.827 (0.790) Data 0.001 (0.003) Loss 1.7530 (1.5928) Prec@1 55.000 (57.016) Prec@5 83.750 (85.127) Epoch: [87][3880/11272] Time 0.817 (0.790) Data 0.001 (0.003) Loss 1.6530 (1.5929) Prec@1 55.625 (57.019) Prec@5 85.000 (85.124) Epoch: [87][3890/11272] Time 0.711 (0.790) Data 0.001 (0.003) Loss 1.6725 (1.5931) Prec@1 53.750 (57.018) Prec@5 83.750 (85.119) Epoch: [87][3900/11272] Time 0.708 (0.790) Data 0.002 (0.003) Loss 1.5068 (1.5930) Prec@1 61.875 (57.017) Prec@5 83.125 (85.119) Epoch: [87][3910/11272] Time 0.831 (0.790) Data 0.001 (0.003) Loss 1.8273 (1.5930) Prec@1 47.500 (57.018) Prec@5 81.250 (85.119) Epoch: [87][3920/11272] Time 0.845 (0.790) Data 0.001 (0.003) Loss 1.6215 (1.5928) Prec@1 57.500 (57.021) Prec@5 83.125 (85.122) Epoch: [87][3930/11272] Time 0.711 (0.790) Data 0.001 (0.003) Loss 1.5884 (1.5926) Prec@1 58.750 (57.026) Prec@5 88.125 (85.126) Epoch: [87][3940/11272] Time 0.753 (0.790) Data 0.001 (0.003) Loss 1.3953 (1.5927) Prec@1 58.750 (57.025) Prec@5 89.375 (85.122) Epoch: [87][3950/11272] Time 0.833 (0.790) Data 0.002 (0.003) Loss 1.6465 (1.5926) Prec@1 55.625 (57.026) Prec@5 83.125 (85.125) Epoch: [87][3960/11272] Time 0.731 (0.790) Data 0.001 (0.003) Loss 1.6305 (1.5927) Prec@1 52.500 (57.025) Prec@5 88.750 (85.126) Epoch: [87][3970/11272] Time 0.738 (0.790) Data 0.002 (0.003) Loss 1.6932 (1.5928) Prec@1 57.500 (57.023) Prec@5 85.625 (85.126) Epoch: [87][3980/11272] Time 0.841 (0.790) Data 0.002 (0.003) Loss 1.5653 (1.5927) Prec@1 55.625 (57.022) Prec@5 88.125 (85.130) Epoch: [87][3990/11272] Time 0.851 (0.790) Data 0.002 (0.003) Loss 1.4696 (1.5927) Prec@1 57.500 (57.019) Prec@5 85.000 (85.131) Epoch: [87][4000/11272] Time 0.741 (0.790) Data 0.001 (0.003) Loss 1.6506 (1.5929) Prec@1 50.625 (57.016) Prec@5 84.375 (85.127) Epoch: [87][4010/11272] Time 0.777 (0.790) Data 0.002 (0.003) Loss 1.4646 (1.5930) Prec@1 60.000 (57.013) Prec@5 85.000 (85.125) Epoch: [87][4020/11272] Time 0.868 (0.790) Data 0.001 (0.003) Loss 1.8880 (1.5929) Prec@1 47.500 (57.011) Prec@5 82.500 (85.127) Epoch: [87][4030/11272] Time 0.830 (0.790) Data 0.002 (0.002) Loss 1.6877 (1.5930) Prec@1 56.875 (57.010) Prec@5 82.500 (85.127) Epoch: [87][4040/11272] Time 0.707 (0.790) Data 0.001 (0.002) Loss 1.7031 (1.5931) Prec@1 54.375 (57.010) Prec@5 82.500 (85.123) Epoch: [87][4050/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 1.7124 (1.5931) Prec@1 59.375 (57.011) Prec@5 84.375 (85.121) Epoch: [87][4060/11272] Time 0.806 (0.790) Data 0.001 (0.002) Loss 1.6891 (1.5932) Prec@1 50.625 (57.010) Prec@5 88.750 (85.122) Epoch: [87][4070/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 1.5573 (1.5931) Prec@1 57.500 (57.013) Prec@5 88.125 (85.123) Epoch: [87][4080/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.6172 (1.5932) Prec@1 51.875 (57.010) Prec@5 86.875 (85.123) Epoch: [87][4090/11272] Time 0.887 (0.790) Data 0.001 (0.002) Loss 1.5831 (1.5932) Prec@1 57.500 (57.009) Prec@5 88.750 (85.122) Epoch: [87][4100/11272] Time 0.885 (0.790) Data 0.001 (0.002) Loss 1.7112 (1.5931) Prec@1 53.125 (57.011) Prec@5 85.625 (85.123) Epoch: [87][4110/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.9339 (1.5932) Prec@1 52.500 (57.010) Prec@5 76.875 (85.121) Epoch: [87][4120/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.3794 (1.5931) Prec@1 62.500 (57.011) Prec@5 90.000 (85.124) Epoch: [87][4130/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.7507 (1.5931) Prec@1 50.000 (57.012) Prec@5 80.625 (85.125) Epoch: [87][4140/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.6554 (1.5931) Prec@1 54.375 (57.012) Prec@5 85.000 (85.122) Epoch: [87][4150/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.9140 (1.5930) Prec@1 50.625 (57.018) Prec@5 80.000 (85.125) Epoch: [87][4160/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.7514 (1.5929) Prec@1 54.375 (57.019) Prec@5 83.750 (85.129) Epoch: [87][4170/11272] Time 0.835 (0.790) Data 0.002 (0.002) Loss 1.7327 (1.5932) Prec@1 50.625 (57.013) Prec@5 81.250 (85.122) Epoch: [87][4180/11272] Time 0.851 (0.790) Data 0.002 (0.002) Loss 1.6489 (1.5930) Prec@1 57.500 (57.013) Prec@5 82.500 (85.124) Epoch: [87][4190/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.5915 (1.5932) Prec@1 56.875 (57.009) Prec@5 85.000 (85.121) Epoch: [87][4200/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.7461 (1.5931) Prec@1 53.125 (57.013) Prec@5 83.125 (85.125) Epoch: [87][4210/11272] Time 0.808 (0.790) Data 0.001 (0.002) Loss 1.4938 (1.5930) Prec@1 58.750 (57.016) Prec@5 87.500 (85.126) Epoch: [87][4220/11272] Time 0.759 (0.790) Data 0.004 (0.002) Loss 1.6205 (1.5932) Prec@1 57.500 (57.014) Prec@5 87.500 (85.126) Epoch: [87][4230/11272] Time 0.714 (0.790) Data 0.002 (0.002) Loss 1.6827 (1.5933) Prec@1 53.125 (57.009) Prec@5 83.750 (85.124) Epoch: [87][4240/11272] Time 0.869 (0.790) Data 0.002 (0.002) Loss 1.5178 (1.5934) Prec@1 60.625 (57.005) Prec@5 85.000 (85.123) Epoch: [87][4250/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.6612 (1.5934) Prec@1 58.125 (57.004) Prec@5 85.000 (85.127) Epoch: [87][4260/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 1.5675 (1.5932) Prec@1 55.625 (57.004) Prec@5 81.250 (85.129) Epoch: [87][4270/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.6225 (1.5933) Prec@1 55.625 (57.004) Prec@5 85.000 (85.129) Epoch: [87][4280/11272] Time 0.849 (0.790) Data 0.001 (0.002) Loss 1.4044 (1.5933) Prec@1 65.000 (57.001) Prec@5 84.375 (85.129) Epoch: [87][4290/11272] Time 0.873 (0.790) Data 0.002 (0.002) Loss 1.6112 (1.5934) Prec@1 52.500 (56.999) Prec@5 86.250 (85.126) Epoch: [87][4300/11272] Time 0.753 (0.790) Data 0.001 (0.002) Loss 1.6077 (1.5935) Prec@1 54.375 (56.997) Prec@5 84.375 (85.120) Epoch: [87][4310/11272] Time 0.710 (0.790) Data 0.001 (0.002) Loss 1.4513 (1.5935) Prec@1 63.125 (56.999) Prec@5 83.750 (85.122) Epoch: [87][4320/11272] Time 0.838 (0.790) Data 0.002 (0.002) Loss 1.5854 (1.5935) Prec@1 57.500 (56.997) Prec@5 85.000 (85.123) Epoch: [87][4330/11272] Time 0.795 (0.790) Data 0.001 (0.002) Loss 1.4921 (1.5935) Prec@1 53.125 (56.998) Prec@5 88.750 (85.124) Epoch: [87][4340/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.5057 (1.5937) Prec@1 58.125 (56.997) Prec@5 86.875 (85.120) Epoch: [87][4350/11272] Time 0.868 (0.790) Data 0.001 (0.002) Loss 1.4005 (1.5938) Prec@1 61.875 (56.991) Prec@5 85.625 (85.118) Epoch: [87][4360/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 1.6494 (1.5938) Prec@1 53.125 (56.990) Prec@5 85.000 (85.118) Epoch: [87][4370/11272] Time 0.715 (0.790) Data 0.002 (0.002) Loss 1.7826 (1.5940) Prec@1 48.125 (56.984) Prec@5 80.625 (85.113) Epoch: [87][4380/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.3972 (1.5938) Prec@1 63.125 (56.988) Prec@5 85.000 (85.115) Epoch: [87][4390/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.6171 (1.5939) Prec@1 59.375 (56.989) Prec@5 85.000 (85.116) Epoch: [87][4400/11272] Time 0.868 (0.790) Data 0.003 (0.002) Loss 1.5454 (1.5938) Prec@1 56.250 (56.989) Prec@5 87.500 (85.117) Epoch: [87][4410/11272] Time 0.753 (0.790) Data 0.001 (0.002) Loss 1.6584 (1.5938) Prec@1 53.125 (56.988) Prec@5 86.250 (85.117) Epoch: [87][4420/11272] Time 0.708 (0.790) Data 0.001 (0.002) Loss 1.6670 (1.5938) Prec@1 54.375 (56.986) Prec@5 85.000 (85.118) Epoch: [87][4430/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.8336 (1.5939) Prec@1 50.000 (56.985) Prec@5 81.250 (85.120) Epoch: [87][4440/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.5609 (1.5941) Prec@1 55.000 (56.981) Prec@5 84.375 (85.116) Epoch: [87][4450/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 1.4525 (1.5941) Prec@1 61.250 (56.981) Prec@5 88.125 (85.117) Epoch: [87][4460/11272] Time 0.792 (0.790) Data 0.002 (0.002) Loss 1.4804 (1.5941) Prec@1 56.250 (56.981) Prec@5 90.000 (85.118) Epoch: [87][4470/11272] Time 0.860 (0.790) Data 0.002 (0.002) Loss 1.4209 (1.5941) Prec@1 61.250 (56.981) Prec@5 86.250 (85.117) Epoch: [87][4480/11272] Time 0.716 (0.790) Data 0.004 (0.002) Loss 1.9546 (1.5942) Prec@1 44.375 (56.979) Prec@5 80.000 (85.116) Epoch: [87][4490/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.6175 (1.5941) Prec@1 58.750 (56.983) Prec@5 86.250 (85.117) Epoch: [87][4500/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.6639 (1.5942) Prec@1 55.625 (56.980) Prec@5 82.500 (85.116) Epoch: [87][4510/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.5894 (1.5943) Prec@1 56.250 (56.976) Prec@5 85.625 (85.112) Epoch: [87][4520/11272] Time 0.714 (0.790) Data 0.002 (0.002) Loss 1.4856 (1.5943) Prec@1 57.500 (56.973) Prec@5 87.500 (85.112) Epoch: [87][4530/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.7602 (1.5944) Prec@1 53.125 (56.971) Prec@5 81.875 (85.110) Epoch: [87][4540/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.8536 (1.5945) Prec@1 51.250 (56.965) Prec@5 81.875 (85.108) Epoch: [87][4550/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.6737 (1.5945) Prec@1 53.125 (56.963) Prec@5 83.125 (85.110) Epoch: [87][4560/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 1.3566 (1.5944) Prec@1 66.875 (56.967) Prec@5 86.250 (85.111) Epoch: [87][4570/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.3584 (1.5944) Prec@1 63.125 (56.966) Prec@5 88.750 (85.110) Epoch: [87][4580/11272] Time 0.835 (0.790) Data 0.002 (0.002) Loss 1.9587 (1.5946) Prec@1 48.750 (56.958) Prec@5 79.375 (85.108) Epoch: [87][4590/11272] Time 0.825 (0.790) Data 0.002 (0.002) Loss 1.7835 (1.5946) Prec@1 52.500 (56.955) Prec@5 85.000 (85.107) Epoch: [87][4600/11272] Time 0.721 (0.790) Data 0.002 (0.002) Loss 1.5056 (1.5946) Prec@1 59.375 (56.956) Prec@5 84.375 (85.107) Epoch: [87][4610/11272] Time 0.863 (0.790) Data 0.002 (0.002) Loss 1.7381 (1.5948) Prec@1 56.250 (56.953) Prec@5 83.125 (85.105) Epoch: [87][4620/11272] Time 0.876 (0.790) Data 0.001 (0.002) Loss 1.4750 (1.5948) Prec@1 64.375 (56.952) Prec@5 84.375 (85.103) Epoch: [87][4630/11272] Time 0.740 (0.790) Data 0.001 (0.002) Loss 1.6824 (1.5949) Prec@1 58.125 (56.950) Prec@5 83.750 (85.101) Epoch: [87][4640/11272] Time 0.724 (0.790) Data 0.002 (0.002) Loss 1.5925 (1.5950) Prec@1 57.500 (56.946) Prec@5 82.500 (85.096) Epoch: [87][4650/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.4646 (1.5949) Prec@1 59.375 (56.949) Prec@5 86.875 (85.098) Epoch: [87][4660/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.5577 (1.5950) Prec@1 56.250 (56.946) Prec@5 86.250 (85.098) Epoch: [87][4670/11272] Time 0.759 (0.790) Data 0.001 (0.002) Loss 1.7388 (1.5950) Prec@1 48.750 (56.945) Prec@5 84.375 (85.100) Epoch: [87][4680/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.7168 (1.5951) Prec@1 55.000 (56.939) Prec@5 83.750 (85.099) Epoch: [87][4690/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.5694 (1.5951) Prec@1 60.000 (56.938) Prec@5 86.250 (85.101) Epoch: [87][4700/11272] Time 0.908 (0.790) Data 0.002 (0.002) Loss 1.5656 (1.5953) Prec@1 60.625 (56.934) Prec@5 83.125 (85.099) Epoch: [87][4710/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.7242 (1.5954) Prec@1 53.125 (56.933) Prec@5 85.625 (85.095) Epoch: [87][4720/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.4071 (1.5952) Prec@1 61.875 (56.940) Prec@5 86.875 (85.097) Epoch: [87][4730/11272] Time 0.828 (0.790) Data 0.002 (0.002) Loss 1.3876 (1.5953) Prec@1 63.750 (56.939) Prec@5 87.500 (85.094) Epoch: [87][4740/11272] Time 0.820 (0.790) Data 0.001 (0.002) Loss 1.3887 (1.5952) Prec@1 61.875 (56.942) Prec@5 86.875 (85.095) Epoch: [87][4750/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 1.5418 (1.5953) Prec@1 51.250 (56.936) Prec@5 90.625 (85.096) Epoch: [87][4760/11272] Time 0.832 (0.790) Data 0.001 (0.002) Loss 1.4977 (1.5953) Prec@1 58.750 (56.937) Prec@5 87.500 (85.095) Epoch: [87][4770/11272] Time 0.820 (0.790) Data 0.001 (0.002) Loss 1.3955 (1.5954) Prec@1 61.875 (56.933) Prec@5 88.750 (85.094) Epoch: [87][4780/11272] Time 0.741 (0.790) Data 0.001 (0.002) Loss 1.8753 (1.5955) Prec@1 53.750 (56.931) Prec@5 78.750 (85.093) Epoch: [87][4790/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.7461 (1.5954) Prec@1 51.875 (56.932) Prec@5 80.625 (85.093) Epoch: [87][4800/11272] Time 0.918 (0.790) Data 0.001 (0.002) Loss 1.7214 (1.5954) Prec@1 56.250 (56.936) Prec@5 83.750 (85.092) Epoch: [87][4810/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.3908 (1.5955) Prec@1 60.000 (56.934) Prec@5 86.250 (85.091) Epoch: [87][4820/11272] Time 0.698 (0.790) Data 0.001 (0.002) Loss 1.6424 (1.5955) Prec@1 58.125 (56.934) Prec@5 85.625 (85.093) Epoch: [87][4830/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 1.6274 (1.5954) Prec@1 51.875 (56.933) Prec@5 85.000 (85.094) Epoch: [87][4840/11272] Time 0.854 (0.790) Data 0.001 (0.002) Loss 1.4757 (1.5956) Prec@1 57.500 (56.931) Prec@5 86.875 (85.092) Epoch: [87][4850/11272] Time 0.846 (0.790) Data 0.002 (0.002) Loss 1.4257 (1.5957) Prec@1 63.125 (56.928) Prec@5 88.750 (85.093) Epoch: [87][4860/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.6081 (1.5959) Prec@1 57.500 (56.926) Prec@5 81.250 (85.088) Epoch: [87][4870/11272] Time 0.777 (0.790) Data 0.002 (0.002) Loss 1.3735 (1.5959) Prec@1 53.125 (56.924) Prec@5 90.000 (85.088) Epoch: [87][4880/11272] Time 0.833 (0.790) Data 0.002 (0.002) Loss 1.6922 (1.5959) Prec@1 56.250 (56.924) Prec@5 82.500 (85.086) Epoch: [87][4890/11272] Time 0.753 (0.790) Data 0.002 (0.002) Loss 1.4334 (1.5958) Prec@1 63.750 (56.922) Prec@5 83.750 (85.088) Epoch: [87][4900/11272] Time 0.743 (0.790) Data 0.002 (0.002) Loss 1.7188 (1.5959) Prec@1 56.250 (56.923) Prec@5 83.750 (85.086) Epoch: [87][4910/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.7216 (1.5958) Prec@1 53.125 (56.925) Prec@5 82.500 (85.087) Epoch: [87][4920/11272] Time 0.840 (0.790) Data 0.003 (0.002) Loss 1.5387 (1.5959) Prec@1 58.125 (56.922) Prec@5 86.875 (85.087) Epoch: [87][4930/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.7509 (1.5958) Prec@1 54.375 (56.926) Prec@5 81.875 (85.088) Epoch: [87][4940/11272] Time 0.725 (0.790) Data 0.002 (0.002) Loss 1.7804 (1.5958) Prec@1 50.625 (56.924) Prec@5 80.000 (85.087) Epoch: [87][4950/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.4300 (1.5958) Prec@1 60.000 (56.925) Prec@5 90.000 (85.088) Epoch: [87][4960/11272] Time 0.806 (0.790) Data 0.001 (0.002) Loss 1.4949 (1.5958) Prec@1 60.625 (56.924) Prec@5 88.750 (85.088) Epoch: [87][4970/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.9152 (1.5960) Prec@1 50.000 (56.920) Prec@5 79.375 (85.085) Epoch: [87][4980/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.6229 (1.5959) Prec@1 53.125 (56.920) Prec@5 88.750 (85.084) Epoch: [87][4990/11272] Time 0.838 (0.790) Data 0.002 (0.002) Loss 1.9650 (1.5961) Prec@1 50.000 (56.918) Prec@5 80.625 (85.082) Epoch: [87][5000/11272] Time 0.871 (0.790) Data 0.002 (0.002) Loss 1.5592 (1.5960) Prec@1 58.750 (56.920) Prec@5 85.625 (85.083) Epoch: [87][5010/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.3413 (1.5962) Prec@1 60.000 (56.915) Prec@5 90.000 (85.083) Epoch: [87][5020/11272] Time 0.780 (0.790) Data 0.001 (0.002) Loss 1.8601 (1.5964) Prec@1 48.125 (56.909) Prec@5 78.750 (85.077) Epoch: [87][5030/11272] Time 0.810 (0.790) Data 0.001 (0.002) Loss 1.6885 (1.5963) Prec@1 51.875 (56.909) Prec@5 85.000 (85.080) Epoch: [87][5040/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.6649 (1.5963) Prec@1 57.500 (56.909) Prec@5 82.500 (85.079) Epoch: [87][5050/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.4851 (1.5965) Prec@1 60.625 (56.906) Prec@5 87.500 (85.076) Epoch: [87][5060/11272] Time 0.808 (0.790) Data 0.001 (0.002) Loss 1.6141 (1.5966) Prec@1 59.375 (56.902) Prec@5 83.125 (85.075) Epoch: [87][5070/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.7481 (1.5966) Prec@1 51.250 (56.900) Prec@5 82.500 (85.073) Epoch: [87][5080/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.7656 (1.5966) Prec@1 50.000 (56.900) Prec@5 82.500 (85.075) Epoch: [87][5090/11272] Time 0.754 (0.790) Data 0.002 (0.002) Loss 1.8221 (1.5966) Prec@1 52.500 (56.900) Prec@5 81.250 (85.075) Epoch: [87][5100/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.7999 (1.5966) Prec@1 51.875 (56.900) Prec@5 81.250 (85.074) Epoch: [87][5110/11272] Time 0.807 (0.790) Data 0.001 (0.002) Loss 1.5083 (1.5967) Prec@1 56.875 (56.898) Prec@5 87.500 (85.073) Epoch: [87][5120/11272] Time 0.711 (0.790) Data 0.001 (0.002) Loss 1.5102 (1.5967) Prec@1 53.750 (56.896) Prec@5 87.500 (85.073) Epoch: [87][5130/11272] Time 0.738 (0.790) Data 0.002 (0.002) Loss 1.5747 (1.5969) Prec@1 58.750 (56.893) Prec@5 85.000 (85.070) Epoch: [87][5140/11272] Time 0.874 (0.790) Data 0.002 (0.002) Loss 1.5355 (1.5969) Prec@1 62.500 (56.896) Prec@5 84.375 (85.070) Epoch: [87][5150/11272] Time 0.709 (0.790) Data 0.003 (0.002) Loss 1.6416 (1.5969) Prec@1 54.375 (56.892) Prec@5 82.500 (85.068) Epoch: [87][5160/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.6249 (1.5969) Prec@1 55.000 (56.890) Prec@5 85.000 (85.067) Epoch: [87][5170/11272] Time 0.846 (0.790) Data 0.001 (0.002) Loss 1.3993 (1.5969) Prec@1 63.125 (56.891) Prec@5 86.250 (85.067) Epoch: [87][5180/11272] Time 0.818 (0.790) Data 0.002 (0.002) Loss 1.4616 (1.5968) Prec@1 58.750 (56.894) Prec@5 85.625 (85.069) Epoch: [87][5190/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.8622 (1.5968) Prec@1 53.125 (56.897) Prec@5 80.000 (85.069) Epoch: [87][5200/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.4144 (1.5966) Prec@1 65.625 (56.903) Prec@5 86.875 (85.072) Epoch: [87][5210/11272] Time 0.858 (0.790) Data 0.002 (0.002) Loss 1.4548 (1.5966) Prec@1 56.875 (56.903) Prec@5 85.625 (85.073) Epoch: [87][5220/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.5991 (1.5966) Prec@1 56.875 (56.902) Prec@5 85.000 (85.075) Epoch: [87][5230/11272] Time 0.735 (0.790) Data 0.002 (0.002) Loss 1.6456 (1.5966) Prec@1 52.500 (56.901) Prec@5 82.500 (85.073) Epoch: [87][5240/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.5474 (1.5966) Prec@1 55.625 (56.902) Prec@5 86.250 (85.072) Epoch: [87][5250/11272] Time 0.885 (0.789) Data 0.002 (0.002) Loss 1.6310 (1.5966) Prec@1 55.625 (56.902) Prec@5 85.000 (85.073) Epoch: [87][5260/11272] Time 0.824 (0.789) Data 0.002 (0.002) Loss 1.7854 (1.5967) Prec@1 48.750 (56.896) Prec@5 83.750 (85.072) Epoch: [87][5270/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.6709 (1.5968) Prec@1 56.250 (56.896) Prec@5 83.750 (85.072) Epoch: [87][5280/11272] Time 0.856 (0.789) Data 0.001 (0.002) Loss 1.4701 (1.5966) Prec@1 56.875 (56.895) Prec@5 85.625 (85.074) Epoch: [87][5290/11272] Time 0.872 (0.789) Data 0.001 (0.002) Loss 1.6761 (1.5968) Prec@1 51.250 (56.891) Prec@5 81.875 (85.070) Epoch: [87][5300/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.6960 (1.5967) Prec@1 49.375 (56.889) Prec@5 81.875 (85.072) Epoch: [87][5310/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.6101 (1.5967) Prec@1 54.375 (56.889) Prec@5 84.375 (85.073) Epoch: [87][5320/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.5934 (1.5967) Prec@1 58.750 (56.892) Prec@5 85.000 (85.071) Epoch: [87][5330/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.8465 (1.5968) Prec@1 51.875 (56.891) Prec@5 81.875 (85.069) Epoch: [87][5340/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.4673 (1.5968) Prec@1 60.625 (56.891) Prec@5 88.750 (85.071) Epoch: [87][5350/11272] Time 0.756 (0.789) Data 0.002 (0.002) Loss 1.6389 (1.5968) Prec@1 55.000 (56.889) Prec@5 84.375 (85.070) Epoch: [87][5360/11272] Time 0.876 (0.789) Data 0.001 (0.002) Loss 1.5169 (1.5968) Prec@1 59.375 (56.889) Prec@5 87.500 (85.070) Epoch: [87][5370/11272] Time 0.863 (0.789) Data 0.002 (0.002) Loss 1.5320 (1.5969) Prec@1 58.125 (56.888) Prec@5 86.875 (85.070) Epoch: [87][5380/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.5588 (1.5968) Prec@1 58.125 (56.890) Prec@5 83.750 (85.070) Epoch: [87][5390/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.5345 (1.5967) Prec@1 56.250 (56.890) Prec@5 86.875 (85.069) Epoch: [87][5400/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.4768 (1.5968) Prec@1 60.625 (56.891) Prec@5 85.625 (85.069) Epoch: [87][5410/11272] Time 0.721 (0.789) Data 0.003 (0.002) Loss 1.5863 (1.5969) Prec@1 55.000 (56.890) Prec@5 86.875 (85.068) Epoch: [87][5420/11272] Time 0.743 (0.789) Data 0.001 (0.002) Loss 1.2778 (1.5968) Prec@1 64.375 (56.891) Prec@5 90.625 (85.068) Epoch: [87][5430/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.5835 (1.5968) Prec@1 54.375 (56.889) Prec@5 86.875 (85.069) Epoch: [87][5440/11272] Time 0.813 (0.789) Data 0.001 (0.002) Loss 1.6293 (1.5967) Prec@1 53.750 (56.892) Prec@5 84.375 (85.070) Epoch: [87][5450/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.2712 (1.5968) Prec@1 63.750 (56.892) Prec@5 91.250 (85.068) Epoch: [87][5460/11272] Time 0.712 (0.789) Data 0.002 (0.002) Loss 1.8087 (1.5969) Prec@1 53.750 (56.891) Prec@5 81.250 (85.068) Epoch: [87][5470/11272] Time 0.872 (0.789) Data 0.002 (0.002) Loss 1.4692 (1.5970) Prec@1 56.875 (56.888) Prec@5 85.000 (85.067) Epoch: [87][5480/11272] Time 0.869 (0.789) Data 0.001 (0.002) Loss 1.5256 (1.5970) Prec@1 56.250 (56.888) Prec@5 85.625 (85.067) Epoch: [87][5490/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.5670 (1.5971) Prec@1 60.625 (56.888) Prec@5 84.375 (85.065) Epoch: [87][5500/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.6869 (1.5971) Prec@1 58.750 (56.890) Prec@5 82.500 (85.064) Epoch: [87][5510/11272] Time 0.880 (0.789) Data 0.001 (0.002) Loss 1.4815 (1.5971) Prec@1 61.250 (56.889) Prec@5 86.250 (85.064) Epoch: [87][5520/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.6784 (1.5970) Prec@1 56.250 (56.893) Prec@5 80.000 (85.064) Epoch: [87][5530/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.7694 (1.5971) Prec@1 50.625 (56.892) Prec@5 82.500 (85.062) Epoch: [87][5540/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.4002 (1.5971) Prec@1 56.875 (56.893) Prec@5 87.500 (85.063) Epoch: [87][5550/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.7094 (1.5970) Prec@1 53.750 (56.894) Prec@5 82.500 (85.064) Epoch: [87][5560/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.6742 (1.5970) Prec@1 53.750 (56.897) Prec@5 85.000 (85.063) Epoch: [87][5570/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.9656 (1.5970) Prec@1 52.500 (56.899) Prec@5 81.250 (85.065) Epoch: [87][5580/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.4677 (1.5970) Prec@1 63.125 (56.898) Prec@5 88.750 (85.065) Epoch: [87][5590/11272] Time 0.807 (0.789) Data 0.001 (0.002) Loss 1.5648 (1.5970) Prec@1 58.750 (56.898) Prec@5 86.875 (85.065) Epoch: [87][5600/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.7685 (1.5970) Prec@1 53.125 (56.898) Prec@5 82.500 (85.065) Epoch: [87][5610/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.6214 (1.5971) Prec@1 59.375 (56.898) Prec@5 81.875 (85.063) Epoch: [87][5620/11272] Time 0.823 (0.789) Data 0.001 (0.002) Loss 1.4903 (1.5971) Prec@1 60.000 (56.899) Prec@5 87.500 (85.063) Epoch: [87][5630/11272] Time 0.810 (0.789) Data 0.001 (0.002) Loss 1.5872 (1.5970) Prec@1 55.625 (56.900) Prec@5 85.625 (85.064) Epoch: [87][5640/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.6089 (1.5970) Prec@1 58.125 (56.899) Prec@5 86.875 (85.063) Epoch: [87][5650/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.5635 (1.5970) Prec@1 60.000 (56.900) Prec@5 85.000 (85.065) Epoch: [87][5660/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.4932 (1.5970) Prec@1 60.000 (56.901) Prec@5 91.250 (85.066) Epoch: [87][5670/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 1.5041 (1.5970) Prec@1 60.000 (56.900) Prec@5 85.000 (85.066) Epoch: [87][5680/11272] Time 0.711 (0.789) Data 0.002 (0.002) Loss 1.4824 (1.5970) Prec@1 60.625 (56.902) Prec@5 85.000 (85.065) Epoch: [87][5690/11272] Time 0.875 (0.789) Data 0.002 (0.002) Loss 1.5990 (1.5970) Prec@1 60.000 (56.902) Prec@5 82.500 (85.067) Epoch: [87][5700/11272] Time 0.807 (0.789) Data 0.001 (0.002) Loss 1.6704 (1.5971) Prec@1 55.625 (56.901) Prec@5 84.375 (85.066) Epoch: [87][5710/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.4643 (1.5970) Prec@1 54.375 (56.901) Prec@5 88.125 (85.067) Epoch: [87][5720/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.6213 (1.5971) Prec@1 56.250 (56.899) Prec@5 83.750 (85.065) Epoch: [87][5730/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.6163 (1.5971) Prec@1 52.500 (56.897) Prec@5 85.625 (85.065) Epoch: [87][5740/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.7459 (1.5972) Prec@1 55.000 (56.894) Prec@5 83.125 (85.063) Epoch: [87][5750/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.6199 (1.5972) Prec@1 53.750 (56.893) Prec@5 84.375 (85.065) Epoch: [87][5760/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6693 (1.5973) Prec@1 53.750 (56.890) Prec@5 86.250 (85.064) Epoch: [87][5770/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.5752 (1.5973) Prec@1 55.625 (56.892) Prec@5 85.625 (85.063) Epoch: [87][5780/11272] Time 0.839 (0.789) Data 0.001 (0.002) Loss 1.4300 (1.5973) Prec@1 63.125 (56.892) Prec@5 85.000 (85.062) Epoch: [87][5790/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.7825 (1.5973) Prec@1 55.625 (56.892) Prec@5 79.375 (85.061) Epoch: [87][5800/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7360 (1.5975) Prec@1 52.500 (56.888) Prec@5 81.875 (85.059) Epoch: [87][5810/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.4415 (1.5975) Prec@1 58.750 (56.886) Prec@5 88.125 (85.059) Epoch: [87][5820/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.7312 (1.5977) Prec@1 58.125 (56.882) Prec@5 83.750 (85.059) Epoch: [87][5830/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.7593 (1.5977) Prec@1 50.000 (56.881) Prec@5 82.500 (85.057) Epoch: [87][5840/11272] Time 0.875 (0.789) Data 0.001 (0.002) Loss 1.5914 (1.5978) Prec@1 55.625 (56.881) Prec@5 86.250 (85.057) Epoch: [87][5850/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.7546 (1.5978) Prec@1 53.125 (56.880) Prec@5 85.625 (85.058) Epoch: [87][5860/11272] Time 0.708 (0.789) Data 0.001 (0.002) Loss 1.5487 (1.5978) Prec@1 55.000 (56.878) Prec@5 86.875 (85.057) Epoch: [87][5870/11272] Time 0.715 (0.789) Data 0.002 (0.002) Loss 1.5687 (1.5978) Prec@1 58.750 (56.878) Prec@5 86.875 (85.056) Epoch: [87][5880/11272] Time 0.890 (0.789) Data 0.003 (0.002) Loss 1.6398 (1.5979) Prec@1 56.875 (56.876) Prec@5 82.500 (85.053) Epoch: [87][5890/11272] Time 0.787 (0.789) Data 0.001 (0.002) Loss 1.7335 (1.5978) Prec@1 51.250 (56.879) Prec@5 83.750 (85.055) Epoch: [87][5900/11272] Time 0.724 (0.789) Data 0.003 (0.002) Loss 1.4451 (1.5978) Prec@1 59.375 (56.876) Prec@5 88.750 (85.054) Epoch: [87][5910/11272] Time 0.766 (0.789) Data 0.002 (0.002) Loss 1.6216 (1.5979) Prec@1 57.500 (56.875) Prec@5 84.375 (85.053) Epoch: [87][5920/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.5287 (1.5980) Prec@1 59.375 (56.872) Prec@5 86.875 (85.052) Epoch: [87][5930/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.6221 (1.5979) Prec@1 53.125 (56.874) Prec@5 86.250 (85.054) Epoch: [87][5940/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.3884 (1.5979) Prec@1 61.250 (56.872) Prec@5 87.500 (85.055) Epoch: [87][5950/11272] Time 0.928 (0.789) Data 0.001 (0.002) Loss 1.9032 (1.5979) Prec@1 50.000 (56.871) Prec@5 81.250 (85.054) Epoch: [87][5960/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.3961 (1.5980) Prec@1 63.125 (56.870) Prec@5 90.625 (85.053) Epoch: [87][5970/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.5729 (1.5980) Prec@1 56.875 (56.871) Prec@5 86.250 (85.053) Epoch: [87][5980/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.4302 (1.5979) Prec@1 55.625 (56.871) Prec@5 89.375 (85.053) Epoch: [87][5990/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.6831 (1.5978) Prec@1 58.750 (56.872) Prec@5 82.500 (85.055) Epoch: [87][6000/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.5290 (1.5978) Prec@1 56.250 (56.873) Prec@5 88.750 (85.054) Epoch: [87][6010/11272] Time 0.772 (0.789) Data 0.002 (0.002) Loss 1.6322 (1.5977) Prec@1 50.000 (56.875) Prec@5 83.750 (85.057) Epoch: [87][6020/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 1.7019 (1.5979) Prec@1 56.250 (56.872) Prec@5 84.375 (85.054) Epoch: [87][6030/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 1.5140 (1.5978) Prec@1 58.750 (56.872) Prec@5 87.500 (85.055) Epoch: [87][6040/11272] Time 0.874 (0.789) Data 0.001 (0.002) Loss 1.4321 (1.5978) Prec@1 56.250 (56.874) Prec@5 88.750 (85.057) Epoch: [87][6050/11272] Time 0.747 (0.789) Data 0.002 (0.002) Loss 1.8339 (1.5977) Prec@1 48.750 (56.875) Prec@5 78.125 (85.059) Epoch: [87][6060/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.3830 (1.5977) Prec@1 60.625 (56.875) Prec@5 86.875 (85.056) Epoch: [87][6070/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.6602 (1.5979) Prec@1 56.875 (56.875) Prec@5 81.250 (85.054) Epoch: [87][6080/11272] Time 0.720 (0.789) Data 0.003 (0.002) Loss 1.5277 (1.5979) Prec@1 62.500 (56.875) Prec@5 85.000 (85.053) Epoch: [87][6090/11272] Time 0.762 (0.789) Data 0.002 (0.002) Loss 1.5136 (1.5979) Prec@1 60.000 (56.875) Prec@5 88.125 (85.053) Epoch: [87][6100/11272] Time 0.892 (0.789) Data 0.001 (0.002) Loss 1.5055 (1.5979) Prec@1 61.250 (56.875) Prec@5 87.500 (85.054) Epoch: [87][6110/11272] Time 0.823 (0.789) Data 0.001 (0.002) Loss 1.7012 (1.5980) Prec@1 56.250 (56.877) Prec@5 80.000 (85.052) Epoch: [87][6120/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.4987 (1.5981) Prec@1 59.375 (56.874) Prec@5 88.125 (85.050) Epoch: [87][6130/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.5779 (1.5981) Prec@1 58.750 (56.873) Prec@5 85.000 (85.049) Epoch: [87][6140/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.4048 (1.5981) Prec@1 59.375 (56.874) Prec@5 88.125 (85.049) Epoch: [87][6150/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.7655 (1.5981) Prec@1 52.500 (56.872) Prec@5 81.875 (85.049) Epoch: [87][6160/11272] Time 0.744 (0.789) Data 0.002 (0.002) Loss 1.8021 (1.5982) Prec@1 54.375 (56.871) Prec@5 80.625 (85.046) Epoch: [87][6170/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.6077 (1.5983) Prec@1 58.125 (56.869) Prec@5 83.125 (85.046) Epoch: [87][6180/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.7754 (1.5983) Prec@1 51.250 (56.867) Prec@5 80.000 (85.044) Epoch: [87][6190/11272] Time 0.812 (0.789) Data 0.002 (0.002) Loss 1.4555 (1.5984) Prec@1 56.250 (56.864) Prec@5 87.500 (85.044) Epoch: [87][6200/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.7692 (1.5984) Prec@1 53.125 (56.863) Prec@5 84.375 (85.044) Epoch: [87][6210/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.7723 (1.5984) Prec@1 51.875 (56.862) Prec@5 82.500 (85.044) Epoch: [87][6220/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.7319 (1.5983) Prec@1 53.750 (56.864) Prec@5 83.125 (85.044) Epoch: [87][6230/11272] Time 0.753 (0.789) Data 0.001 (0.002) Loss 1.4338 (1.5982) Prec@1 62.500 (56.867) Prec@5 87.500 (85.046) Epoch: [87][6240/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.8863 (1.5981) Prec@1 48.125 (56.869) Prec@5 83.750 (85.048) Epoch: [87][6250/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 1.8266 (1.5981) Prec@1 53.125 (56.872) Prec@5 78.750 (85.046) Epoch: [87][6260/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.4881 (1.5980) Prec@1 60.000 (56.874) Prec@5 87.500 (85.048) Epoch: [87][6270/11272] Time 0.754 (0.789) Data 0.002 (0.002) Loss 1.4325 (1.5980) Prec@1 61.250 (56.874) Prec@5 88.750 (85.049) Epoch: [87][6280/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.6544 (1.5979) Prec@1 53.750 (56.875) Prec@5 85.625 (85.050) Epoch: [87][6290/11272] Time 0.846 (0.789) Data 0.001 (0.002) Loss 1.7444 (1.5979) Prec@1 53.125 (56.875) Prec@5 81.250 (85.050) Epoch: [87][6300/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.6502 (1.5979) Prec@1 56.875 (56.874) Prec@5 81.875 (85.050) Epoch: [87][6310/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.5209 (1.5978) Prec@1 58.125 (56.875) Prec@5 84.375 (85.051) Epoch: [87][6320/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.6534 (1.5978) Prec@1 61.250 (56.876) Prec@5 80.625 (85.050) Epoch: [87][6330/11272] Time 0.846 (0.789) Data 0.002 (0.002) Loss 1.7827 (1.5979) Prec@1 54.375 (56.873) Prec@5 80.000 (85.049) Epoch: [87][6340/11272] Time 0.721 (0.789) Data 0.004 (0.002) Loss 1.6922 (1.5979) Prec@1 51.875 (56.872) Prec@5 82.500 (85.049) Epoch: [87][6350/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.6393 (1.5980) Prec@1 56.875 (56.869) Prec@5 83.750 (85.047) Epoch: [87][6360/11272] Time 0.855 (0.789) Data 0.002 (0.002) Loss 1.6589 (1.5981) Prec@1 53.750 (56.868) Prec@5 81.875 (85.046) Epoch: [87][6370/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.6745 (1.5981) Prec@1 54.375 (56.867) Prec@5 83.750 (85.047) Epoch: [87][6380/11272] Time 0.686 (0.789) Data 0.001 (0.002) Loss 1.6433 (1.5983) Prec@1 51.875 (56.861) Prec@5 83.125 (85.043) Epoch: [87][6390/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.6912 (1.5983) Prec@1 55.625 (56.863) Prec@5 86.875 (85.045) Epoch: [87][6400/11272] Time 0.849 (0.789) Data 0.002 (0.002) Loss 1.3592 (1.5983) Prec@1 59.375 (56.861) Prec@5 89.375 (85.044) Epoch: [87][6410/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 1.4554 (1.5983) Prec@1 60.000 (56.863) Prec@5 90.000 (85.044) Epoch: [87][6420/11272] Time 0.748 (0.789) Data 0.001 (0.002) Loss 1.4782 (1.5982) Prec@1 59.375 (56.864) Prec@5 89.375 (85.045) Epoch: [87][6430/11272] Time 0.767 (0.789) Data 0.001 (0.002) Loss 1.7129 (1.5982) Prec@1 52.500 (56.864) Prec@5 85.625 (85.046) Epoch: [87][6440/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.6786 (1.5982) Prec@1 54.375 (56.865) Prec@5 86.875 (85.046) Epoch: [87][6450/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.5078 (1.5983) Prec@1 55.625 (56.864) Prec@5 88.125 (85.046) Epoch: [87][6460/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.5149 (1.5984) Prec@1 61.250 (56.861) Prec@5 86.875 (85.044) Epoch: [87][6470/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 1.6689 (1.5984) Prec@1 51.875 (56.859) Prec@5 79.375 (85.043) Epoch: [87][6480/11272] Time 0.871 (0.789) Data 0.001 (0.002) Loss 1.4070 (1.5984) Prec@1 60.000 (56.858) Prec@5 90.625 (85.046) Epoch: [87][6490/11272] Time 0.774 (0.789) Data 0.002 (0.002) Loss 1.5876 (1.5984) Prec@1 53.125 (56.856) Prec@5 89.375 (85.046) Epoch: [87][6500/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.6326 (1.5985) Prec@1 59.375 (56.855) Prec@5 83.125 (85.044) Epoch: [87][6510/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.5608 (1.5984) Prec@1 58.750 (56.856) Prec@5 83.750 (85.046) Epoch: [87][6520/11272] Time 0.851 (0.789) Data 0.002 (0.002) Loss 1.5353 (1.5985) Prec@1 53.750 (56.855) Prec@5 88.125 (85.046) Epoch: [87][6530/11272] Time 0.760 (0.789) Data 0.002 (0.002) Loss 1.5364 (1.5984) Prec@1 54.375 (56.854) Prec@5 87.500 (85.045) Epoch: [87][6540/11272] Time 0.699 (0.789) Data 0.001 (0.002) Loss 1.6069 (1.5985) Prec@1 59.375 (56.854) Prec@5 86.250 (85.044) Epoch: [87][6550/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.8492 (1.5986) Prec@1 50.625 (56.850) Prec@5 83.125 (85.044) Epoch: [87][6560/11272] Time 0.785 (0.789) Data 0.001 (0.002) Loss 1.4833 (1.5986) Prec@1 58.125 (56.849) Prec@5 86.250 (85.045) Epoch: [87][6570/11272] Time 0.708 (0.789) Data 0.001 (0.002) Loss 1.5855 (1.5985) Prec@1 59.375 (56.851) Prec@5 85.625 (85.045) Epoch: [87][6580/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.3574 (1.5985) Prec@1 58.750 (56.848) Prec@5 89.375 (85.044) Epoch: [87][6590/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.5863 (1.5984) Prec@1 61.250 (56.852) Prec@5 85.625 (85.047) Epoch: [87][6600/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.6823 (1.5985) Prec@1 56.875 (56.850) Prec@5 81.875 (85.046) Epoch: [87][6610/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.4528 (1.5985) Prec@1 62.500 (56.849) Prec@5 87.500 (85.047) Epoch: [87][6620/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.4250 (1.5985) Prec@1 63.750 (56.848) Prec@5 88.750 (85.046) Epoch: [87][6630/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 1.5700 (1.5986) Prec@1 53.750 (56.843) Prec@5 83.750 (85.044) Epoch: [87][6640/11272] Time 0.700 (0.789) Data 0.001 (0.002) Loss 1.5719 (1.5987) Prec@1 56.250 (56.839) Prec@5 83.750 (85.043) Epoch: [87][6650/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.8647 (1.5987) Prec@1 50.000 (56.842) Prec@5 79.375 (85.042) Epoch: [87][6660/11272] Time 0.849 (0.789) Data 0.001 (0.002) Loss 1.5778 (1.5987) Prec@1 55.625 (56.844) Prec@5 86.875 (85.042) Epoch: [87][6670/11272] Time 0.839 (0.789) Data 0.001 (0.002) Loss 1.5477 (1.5987) Prec@1 55.000 (56.842) Prec@5 83.125 (85.042) Epoch: [87][6680/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.3020 (1.5987) Prec@1 63.750 (56.845) Prec@5 86.250 (85.043) Epoch: [87][6690/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.5557 (1.5987) Prec@1 55.625 (56.844) Prec@5 85.625 (85.044) Epoch: [87][6700/11272] Time 0.877 (0.789) Data 0.001 (0.002) Loss 1.6278 (1.5988) Prec@1 56.875 (56.841) Prec@5 85.000 (85.042) Epoch: [87][6710/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.7758 (1.5988) Prec@1 55.000 (56.842) Prec@5 80.625 (85.039) Epoch: [87][6720/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.4124 (1.5990) Prec@1 61.250 (56.838) Prec@5 88.750 (85.038) Epoch: [87][6730/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.4128 (1.5990) Prec@1 64.375 (56.838) Prec@5 86.875 (85.037) Epoch: [87][6740/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.7838 (1.5990) Prec@1 53.125 (56.838) Prec@5 80.625 (85.038) Epoch: [87][6750/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.4846 (1.5990) Prec@1 56.875 (56.837) Prec@5 90.000 (85.037) Epoch: [87][6760/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.8150 (1.5990) Prec@1 53.750 (56.836) Prec@5 81.875 (85.037) Epoch: [87][6770/11272] Time 0.849 (0.789) Data 0.001 (0.002) Loss 1.7102 (1.5991) Prec@1 50.625 (56.834) Prec@5 85.000 (85.038) Epoch: [87][6780/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.6930 (1.5990) Prec@1 53.125 (56.834) Prec@5 81.875 (85.037) Epoch: [87][6790/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.6916 (1.5991) Prec@1 51.875 (56.831) Prec@5 81.875 (85.036) Epoch: [87][6800/11272] Time 0.745 (0.789) Data 0.001 (0.002) Loss 1.4841 (1.5992) Prec@1 60.000 (56.829) Prec@5 86.875 (85.034) Epoch: [87][6810/11272] Time 0.856 (0.789) Data 0.002 (0.002) Loss 1.6063 (1.5992) Prec@1 55.625 (56.829) Prec@5 85.625 (85.033) Epoch: [87][6820/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.5004 (1.5992) Prec@1 61.250 (56.829) Prec@5 86.875 (85.033) Epoch: [87][6830/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.6394 (1.5993) Prec@1 51.250 (56.826) Prec@5 86.875 (85.033) Epoch: [87][6840/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.7427 (1.5994) Prec@1 50.000 (56.823) Prec@5 84.375 (85.032) Epoch: [87][6850/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.5176 (1.5993) Prec@1 61.250 (56.826) Prec@5 86.250 (85.034) Epoch: [87][6860/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.6446 (1.5993) Prec@1 56.250 (56.823) Prec@5 87.500 (85.034) Epoch: [87][6870/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.7928 (1.5994) Prec@1 56.250 (56.823) Prec@5 79.375 (85.033) Epoch: [87][6880/11272] Time 0.823 (0.789) Data 0.002 (0.002) Loss 1.6079 (1.5993) Prec@1 59.375 (56.824) Prec@5 86.250 (85.034) Epoch: [87][6890/11272] Time 0.864 (0.789) Data 0.002 (0.002) Loss 1.4541 (1.5994) Prec@1 56.875 (56.824) Prec@5 88.750 (85.034) Epoch: [87][6900/11272] Time 0.759 (0.789) Data 0.002 (0.002) Loss 1.5479 (1.5993) Prec@1 61.250 (56.828) Prec@5 85.625 (85.035) Epoch: [87][6910/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.5603 (1.5993) Prec@1 58.125 (56.826) Prec@5 83.750 (85.035) Epoch: [87][6920/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 2.0124 (1.5993) Prec@1 49.375 (56.826) Prec@5 76.875 (85.034) Epoch: [87][6930/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.3330 (1.5993) Prec@1 62.500 (56.825) Prec@5 91.250 (85.036) Epoch: [87][6940/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5752 (1.5993) Prec@1 58.750 (56.825) Prec@5 85.000 (85.036) Epoch: [87][6950/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.6538 (1.5992) Prec@1 56.250 (56.827) Prec@5 83.125 (85.037) Epoch: [87][6960/11272] Time 0.817 (0.789) Data 0.001 (0.002) Loss 1.8770 (1.5993) Prec@1 52.500 (56.826) Prec@5 78.125 (85.035) Epoch: [87][6970/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.5523 (1.5992) Prec@1 55.625 (56.826) Prec@5 85.625 (85.037) Epoch: [87][6980/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.7545 (1.5992) Prec@1 50.000 (56.826) Prec@5 85.000 (85.039) Epoch: [87][6990/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7525 (1.5992) Prec@1 54.375 (56.827) Prec@5 81.875 (85.040) Epoch: [87][7000/11272] Time 0.853 (0.789) Data 0.003 (0.002) Loss 1.6032 (1.5991) Prec@1 57.500 (56.828) Prec@5 83.750 (85.042) Epoch: [87][7010/11272] Time 0.758 (0.789) Data 0.004 (0.002) Loss 1.6455 (1.5991) Prec@1 58.125 (56.829) Prec@5 84.375 (85.043) Epoch: [87][7020/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.7223 (1.5991) Prec@1 52.500 (56.827) Prec@5 83.125 (85.044) Epoch: [87][7030/11272] Time 0.887 (0.789) Data 0.002 (0.002) Loss 1.6691 (1.5991) Prec@1 54.375 (56.828) Prec@5 85.625 (85.044) Epoch: [87][7040/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.6628 (1.5992) Prec@1 58.750 (56.829) Prec@5 84.375 (85.042) Epoch: [87][7050/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.5182 (1.5991) Prec@1 60.000 (56.830) Prec@5 87.500 (85.043) Epoch: [87][7060/11272] Time 0.720 (0.789) Data 0.002 (0.002) Loss 2.0252 (1.5992) Prec@1 45.000 (56.827) Prec@5 78.750 (85.041) Epoch: [87][7070/11272] Time 0.864 (0.789) Data 0.002 (0.002) Loss 1.5699 (1.5992) Prec@1 58.750 (56.830) Prec@5 82.500 (85.039) Epoch: [87][7080/11272] Time 0.846 (0.789) Data 0.001 (0.002) Loss 1.4186 (1.5993) Prec@1 61.875 (56.828) Prec@5 86.250 (85.037) Epoch: [87][7090/11272] Time 0.704 (0.789) Data 0.001 (0.002) Loss 1.6206 (1.5993) Prec@1 55.625 (56.826) Prec@5 80.625 (85.037) Epoch: [87][7100/11272] Time 0.706 (0.789) Data 0.002 (0.002) Loss 1.5435 (1.5992) Prec@1 62.500 (56.826) Prec@5 83.750 (85.037) Epoch: [87][7110/11272] Time 0.861 (0.789) Data 0.002 (0.002) Loss 1.6286 (1.5993) Prec@1 57.500 (56.825) Prec@5 84.375 (85.037) Epoch: [87][7120/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.6966 (1.5993) Prec@1 55.000 (56.823) Prec@5 84.375 (85.037) Epoch: [87][7130/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.5796 (1.5993) Prec@1 56.875 (56.823) Prec@5 85.000 (85.037) Epoch: [87][7140/11272] Time 0.961 (0.789) Data 0.002 (0.002) Loss 1.6773 (1.5993) Prec@1 55.000 (56.823) Prec@5 86.250 (85.039) Epoch: [87][7150/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.3453 (1.5993) Prec@1 63.750 (56.823) Prec@5 89.375 (85.038) Epoch: [87][7160/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.5203 (1.5992) Prec@1 55.000 (56.825) Prec@5 87.500 (85.039) Epoch: [87][7170/11272] Time 0.688 (0.789) Data 0.001 (0.002) Loss 1.4385 (1.5992) Prec@1 55.625 (56.825) Prec@5 89.375 (85.040) Epoch: [87][7180/11272] Time 0.947 (0.789) Data 0.002 (0.002) Loss 1.3179 (1.5991) Prec@1 63.750 (56.827) Prec@5 88.125 (85.040) Epoch: [87][7190/11272] Time 0.864 (0.789) Data 0.001 (0.002) Loss 1.7345 (1.5992) Prec@1 55.000 (56.825) Prec@5 83.125 (85.041) Epoch: [87][7200/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.6490 (1.5992) Prec@1 60.000 (56.827) Prec@5 83.125 (85.041) Epoch: [87][7210/11272] Time 0.696 (0.789) Data 0.001 (0.002) Loss 1.7431 (1.5992) Prec@1 52.500 (56.828) Prec@5 82.500 (85.040) Epoch: [87][7220/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.4271 (1.5992) Prec@1 65.000 (56.829) Prec@5 88.125 (85.042) Epoch: [87][7230/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 1.4111 (1.5991) Prec@1 60.625 (56.830) Prec@5 90.000 (85.043) Epoch: [87][7240/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.5789 (1.5991) Prec@1 61.250 (56.830) Prec@5 86.250 (85.043) Epoch: [87][7250/11272] Time 0.713 (0.789) Data 0.002 (0.002) Loss 1.5579 (1.5991) Prec@1 56.250 (56.831) Prec@5 83.750 (85.042) Epoch: [87][7260/11272] Time 0.814 (0.789) Data 0.002 (0.002) Loss 1.3905 (1.5991) Prec@1 60.000 (56.830) Prec@5 88.750 (85.042) Epoch: [87][7270/11272] Time 0.727 (0.789) Data 0.003 (0.002) Loss 1.6874 (1.5993) Prec@1 60.000 (56.825) Prec@5 83.750 (85.039) Epoch: [87][7280/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.4561 (1.5992) Prec@1 57.500 (56.824) Prec@5 90.000 (85.041) Epoch: [87][7290/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.6329 (1.5993) Prec@1 55.625 (56.822) Prec@5 86.250 (85.040) Epoch: [87][7300/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.4607 (1.5992) Prec@1 56.875 (56.823) Prec@5 88.125 (85.042) Epoch: [87][7310/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.7029 (1.5991) Prec@1 56.875 (56.827) Prec@5 83.750 (85.043) Epoch: [87][7320/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.6410 (1.5991) Prec@1 55.625 (56.827) Prec@5 84.375 (85.043) Epoch: [87][7330/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.6081 (1.5992) Prec@1 55.000 (56.825) Prec@5 85.000 (85.040) Epoch: [87][7340/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.6403 (1.5991) Prec@1 53.125 (56.824) Prec@5 85.625 (85.041) Epoch: [87][7350/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.7415 (1.5992) Prec@1 56.875 (56.822) Prec@5 81.875 (85.041) Epoch: [87][7360/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.5271 (1.5992) Prec@1 58.125 (56.822) Prec@5 87.500 (85.041) Epoch: [87][7370/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.5630 (1.5991) Prec@1 55.000 (56.824) Prec@5 87.500 (85.040) Epoch: [87][7380/11272] Time 0.805 (0.789) Data 0.001 (0.002) Loss 1.4860 (1.5992) Prec@1 54.375 (56.821) Prec@5 90.625 (85.041) Epoch: [87][7390/11272] Time 0.712 (0.789) Data 0.002 (0.002) Loss 1.6267 (1.5992) Prec@1 51.875 (56.821) Prec@5 82.500 (85.040) Epoch: [87][7400/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.8701 (1.5992) Prec@1 50.000 (56.820) Prec@5 81.250 (85.040) Epoch: [87][7410/11272] Time 0.825 (0.789) Data 0.002 (0.002) Loss 1.4693 (1.5991) Prec@1 59.375 (56.821) Prec@5 86.875 (85.041) Epoch: [87][7420/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.5268 (1.5991) Prec@1 55.625 (56.823) Prec@5 85.625 (85.042) Epoch: [87][7430/11272] Time 0.700 (0.789) Data 0.001 (0.002) Loss 1.7219 (1.5990) Prec@1 55.625 (56.824) Prec@5 79.375 (85.042) Epoch: [87][7440/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.5448 (1.5991) Prec@1 51.875 (56.823) Prec@5 88.125 (85.040) Epoch: [87][7450/11272] Time 0.811 (0.789) Data 0.001 (0.002) Loss 1.7905 (1.5993) Prec@1 57.500 (56.819) Prec@5 82.500 (85.039) Epoch: [87][7460/11272] Time 0.753 (0.789) Data 0.001 (0.002) Loss 1.7206 (1.5993) Prec@1 51.250 (56.817) Prec@5 82.500 (85.038) Epoch: [87][7470/11272] Time 0.751 (0.789) Data 0.001 (0.002) Loss 1.7427 (1.5994) Prec@1 58.125 (56.816) Prec@5 83.125 (85.038) Epoch: [87][7480/11272] Time 0.839 (0.789) Data 0.001 (0.002) Loss 1.4713 (1.5994) Prec@1 58.125 (56.816) Prec@5 86.875 (85.038) Epoch: [87][7490/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.3663 (1.5994) Prec@1 61.875 (56.814) Prec@5 89.375 (85.037) Epoch: [87][7500/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.5130 (1.5994) Prec@1 61.250 (56.813) Prec@5 86.875 (85.037) Epoch: [87][7510/11272] Time 0.763 (0.789) Data 0.002 (0.002) Loss 1.4387 (1.5995) Prec@1 63.125 (56.811) Prec@5 86.875 (85.038) Epoch: [87][7520/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.5773 (1.5996) Prec@1 62.500 (56.812) Prec@5 83.750 (85.038) Epoch: [87][7530/11272] Time 0.888 (0.789) Data 0.002 (0.002) Loss 1.4722 (1.5995) Prec@1 65.000 (56.815) Prec@5 84.375 (85.038) Epoch: [87][7540/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.6267 (1.5995) Prec@1 58.125 (56.816) Prec@5 87.500 (85.038) Epoch: [87][7550/11272] Time 0.891 (0.789) Data 0.001 (0.002) Loss 1.7539 (1.5995) Prec@1 56.875 (56.816) Prec@5 80.625 (85.037) Epoch: [87][7560/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.8208 (1.5997) Prec@1 53.125 (56.814) Prec@5 80.000 (85.034) Epoch: [87][7570/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 1.4698 (1.5995) Prec@1 58.125 (56.817) Prec@5 86.250 (85.037) Epoch: [87][7580/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.7073 (1.5996) Prec@1 54.375 (56.815) Prec@5 80.625 (85.034) Epoch: [87][7590/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.5482 (1.5996) Prec@1 60.000 (56.817) Prec@5 85.625 (85.034) Epoch: [87][7600/11272] Time 0.866 (0.789) Data 0.001 (0.002) Loss 1.5101 (1.5996) Prec@1 60.000 (56.817) Prec@5 86.875 (85.035) Epoch: [87][7610/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.5722 (1.5996) Prec@1 57.500 (56.817) Prec@5 86.250 (85.034) Epoch: [87][7620/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.5123 (1.5997) Prec@1 63.125 (56.814) Prec@5 85.625 (85.034) Epoch: [87][7630/11272] Time 0.800 (0.789) Data 0.001 (0.002) Loss 1.4807 (1.5997) Prec@1 61.875 (56.814) Prec@5 86.250 (85.033) Epoch: [87][7640/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.8251 (1.5998) Prec@1 50.625 (56.811) Prec@5 82.500 (85.033) Epoch: [87][7650/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.6038 (1.5998) Prec@1 58.750 (56.811) Prec@5 83.750 (85.034) Epoch: [87][7660/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6208 (1.5998) Prec@1 53.750 (56.809) Prec@5 84.375 (85.034) Epoch: [87][7670/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.3880 (1.5998) Prec@1 60.000 (56.810) Prec@5 87.500 (85.033) Epoch: [87][7680/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.4105 (1.5997) Prec@1 60.000 (56.809) Prec@5 90.000 (85.035) Epoch: [87][7690/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.5247 (1.5997) Prec@1 60.625 (56.809) Prec@5 86.875 (85.037) Epoch: [87][7700/11272] Time 0.825 (0.789) Data 0.002 (0.002) Loss 1.7194 (1.5997) Prec@1 55.000 (56.807) Prec@5 83.750 (85.036) Epoch: [87][7710/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.4621 (1.5998) Prec@1 55.000 (56.806) Prec@5 90.625 (85.035) Epoch: [87][7720/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.8484 (1.5998) Prec@1 51.250 (56.804) Prec@5 80.000 (85.035) Epoch: [87][7730/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.6147 (1.5998) Prec@1 58.125 (56.803) Prec@5 86.250 (85.035) Epoch: [87][7740/11272] Time 0.919 (0.789) Data 0.001 (0.002) Loss 1.7862 (1.5998) Prec@1 51.875 (56.803) Prec@5 83.750 (85.036) Epoch: [87][7750/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.6246 (1.5998) Prec@1 55.625 (56.804) Prec@5 85.625 (85.037) Epoch: [87][7760/11272] Time 0.703 (0.789) Data 0.001 (0.002) Loss 1.3701 (1.5997) Prec@1 64.375 (56.804) Prec@5 89.375 (85.040) Epoch: [87][7770/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.6070 (1.5997) Prec@1 56.875 (56.804) Prec@5 86.875 (85.039) Epoch: [87][7780/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.7236 (1.5998) Prec@1 58.750 (56.802) Prec@5 84.375 (85.038) Epoch: [87][7790/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.4989 (1.5997) Prec@1 61.875 (56.801) Prec@5 84.375 (85.038) Epoch: [87][7800/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.5854 (1.5998) Prec@1 55.000 (56.798) Prec@5 84.375 (85.036) Epoch: [87][7810/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.6217 (1.5998) Prec@1 53.750 (56.800) Prec@5 86.250 (85.037) Epoch: [87][7820/11272] Time 0.891 (0.789) Data 0.002 (0.002) Loss 1.4100 (1.5997) Prec@1 58.750 (56.800) Prec@5 90.625 (85.038) Epoch: [87][7830/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.6657 (1.5999) Prec@1 54.375 (56.795) Prec@5 85.000 (85.036) Epoch: [87][7840/11272] Time 0.754 (0.789) Data 0.002 (0.002) Loss 1.5436 (1.6000) Prec@1 56.250 (56.791) Prec@5 86.250 (85.035) Epoch: [87][7850/11272] Time 0.870 (0.789) Data 0.002 (0.002) Loss 1.6057 (1.6000) Prec@1 58.125 (56.790) Prec@5 82.500 (85.036) Epoch: [87][7860/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.6836 (1.6001) Prec@1 48.125 (56.789) Prec@5 87.500 (85.035) Epoch: [87][7870/11272] Time 0.743 (0.789) Data 0.001 (0.002) Loss 1.6191 (1.6001) Prec@1 54.375 (56.789) Prec@5 83.750 (85.035) Epoch: [87][7880/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.6793 (1.6002) Prec@1 53.125 (56.787) Prec@5 83.750 (85.033) Epoch: [87][7890/11272] Time 0.893 (0.789) Data 0.001 (0.002) Loss 1.7288 (1.6002) Prec@1 48.125 (56.786) Prec@5 84.375 (85.032) Epoch: [87][7900/11272] Time 0.823 (0.789) Data 0.002 (0.002) Loss 1.5706 (1.6002) Prec@1 56.250 (56.787) Prec@5 88.750 (85.032) Epoch: [87][7910/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.7529 (1.6001) Prec@1 55.625 (56.787) Prec@5 85.625 (85.034) Epoch: [87][7920/11272] Time 0.751 (0.789) Data 0.003 (0.002) Loss 1.5783 (1.6001) Prec@1 56.875 (56.789) Prec@5 81.875 (85.035) Epoch: [87][7930/11272] Time 0.855 (0.789) Data 0.001 (0.002) Loss 1.4117 (1.6000) Prec@1 62.500 (56.790) Prec@5 88.750 (85.036) Epoch: [87][7940/11272] Time 0.718 (0.789) Data 0.003 (0.002) Loss 1.7157 (1.6000) Prec@1 56.875 (56.790) Prec@5 86.250 (85.036) Epoch: [87][7950/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.6704 (1.6001) Prec@1 58.125 (56.790) Prec@5 82.500 (85.034) Epoch: [87][7960/11272] Time 0.860 (0.789) Data 0.001 (0.002) Loss 1.6890 (1.6001) Prec@1 51.250 (56.790) Prec@5 83.125 (85.033) Epoch: [87][7970/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.4460 (1.6000) Prec@1 61.875 (56.793) Prec@5 86.250 (85.033) Epoch: [87][7980/11272] Time 0.731 (0.789) Data 0.002 (0.002) Loss 1.7011 (1.6001) Prec@1 56.875 (56.791) Prec@5 84.375 (85.031) Epoch: [87][7990/11272] Time 0.713 (0.789) Data 0.002 (0.002) Loss 1.6497 (1.6003) Prec@1 53.125 (56.788) Prec@5 87.500 (85.029) Epoch: [87][8000/11272] Time 0.848 (0.789) Data 0.002 (0.002) Loss 1.4421 (1.6002) Prec@1 60.625 (56.788) Prec@5 90.000 (85.030) Epoch: [87][8010/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 1.4001 (1.6003) Prec@1 64.375 (56.788) Prec@5 88.125 (85.029) Epoch: [87][8020/11272] Time 0.720 (0.789) Data 0.005 (0.002) Loss 1.6919 (1.6003) Prec@1 58.750 (56.787) Prec@5 83.125 (85.030) Epoch: [87][8030/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.6857 (1.6004) Prec@1 58.750 (56.785) Prec@5 81.250 (85.028) Epoch: [87][8040/11272] Time 0.826 (0.789) Data 0.002 (0.002) Loss 1.6981 (1.6004) Prec@1 53.750 (56.784) Prec@5 84.375 (85.029) Epoch: [87][8050/11272] Time 0.831 (0.789) Data 0.002 (0.002) Loss 1.5507 (1.6003) Prec@1 56.875 (56.787) Prec@5 86.250 (85.030) Epoch: [87][8060/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.6042 (1.6002) Prec@1 55.000 (56.787) Prec@5 83.750 (85.031) Epoch: [87][8070/11272] Time 0.854 (0.789) Data 0.001 (0.002) Loss 1.7511 (1.6003) Prec@1 53.750 (56.784) Prec@5 82.500 (85.029) Epoch: [87][8080/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.6037 (1.6003) Prec@1 59.375 (56.787) Prec@5 84.375 (85.029) Epoch: [87][8090/11272] Time 0.754 (0.789) Data 0.002 (0.002) Loss 1.7114 (1.6003) Prec@1 56.250 (56.787) Prec@5 85.000 (85.028) Epoch: [87][8100/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.8350 (1.6003) Prec@1 45.625 (56.788) Prec@5 81.875 (85.028) Epoch: [87][8110/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.8779 (1.6002) Prec@1 50.625 (56.788) Prec@5 77.500 (85.028) Epoch: [87][8120/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.6226 (1.6002) Prec@1 57.500 (56.791) Prec@5 85.625 (85.030) Epoch: [87][8130/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.2324 (1.6001) Prec@1 68.125 (56.792) Prec@5 93.125 (85.030) Epoch: [87][8140/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.2010 (1.6001) Prec@1 66.250 (56.795) Prec@5 90.625 (85.030) Epoch: [87][8150/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.5905 (1.6001) Prec@1 48.750 (56.791) Prec@5 88.750 (85.030) Epoch: [87][8160/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.6342 (1.6000) Prec@1 59.375 (56.793) Prec@5 83.750 (85.031) Epoch: [87][8170/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.3863 (1.6000) Prec@1 61.250 (56.793) Prec@5 89.375 (85.031) Epoch: [87][8180/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.7689 (1.6001) Prec@1 54.375 (56.791) Prec@5 80.625 (85.031) Epoch: [87][8190/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.6531 (1.6001) Prec@1 54.375 (56.791) Prec@5 83.750 (85.031) Epoch: [87][8200/11272] Time 0.743 (0.789) Data 0.003 (0.002) Loss 1.6244 (1.6001) Prec@1 56.250 (56.788) Prec@5 86.875 (85.033) Epoch: [87][8210/11272] Time 0.710 (0.789) Data 0.002 (0.002) Loss 1.5952 (1.6001) Prec@1 56.250 (56.789) Prec@5 85.625 (85.033) Epoch: [87][8220/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.5251 (1.6001) Prec@1 59.375 (56.789) Prec@5 84.375 (85.032) Epoch: [87][8230/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.4325 (1.6001) Prec@1 58.750 (56.788) Prec@5 87.500 (85.033) Epoch: [87][8240/11272] Time 0.725 (0.789) Data 0.000 (0.002) Loss 1.4599 (1.6001) Prec@1 60.000 (56.788) Prec@5 89.375 (85.034) Epoch: [87][8250/11272] Time 0.748 (0.789) Data 0.001 (0.002) Loss 1.9552 (1.6002) Prec@1 50.625 (56.787) Prec@5 81.875 (85.032) Epoch: [87][8260/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.6014 (1.6001) Prec@1 60.000 (56.789) Prec@5 83.750 (85.033) Epoch: [87][8270/11272] Time 0.791 (0.789) Data 0.002 (0.002) Loss 1.6688 (1.6001) Prec@1 51.250 (56.791) Prec@5 87.500 (85.032) Epoch: [87][8280/11272] Time 0.731 (0.789) Data 0.002 (0.002) Loss 1.4995 (1.6000) Prec@1 55.625 (56.792) Prec@5 88.125 (85.033) Epoch: [87][8290/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.4969 (1.6000) Prec@1 60.625 (56.794) Prec@5 85.625 (85.033) Epoch: [87][8300/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.8396 (1.6000) Prec@1 50.625 (56.793) Prec@5 82.500 (85.033) Epoch: [87][8310/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 1.4718 (1.6000) Prec@1 63.125 (56.794) Prec@5 84.375 (85.033) Epoch: [87][8320/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.4545 (1.6000) Prec@1 60.625 (56.794) Prec@5 84.375 (85.034) Epoch: [87][8330/11272] Time 0.856 (0.789) Data 0.002 (0.002) Loss 1.4570 (1.6000) Prec@1 57.500 (56.794) Prec@5 88.750 (85.035) Epoch: [87][8340/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.5985 (1.6000) Prec@1 56.875 (56.795) Prec@5 86.250 (85.036) Epoch: [87][8350/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.6994 (1.6001) Prec@1 53.125 (56.793) Prec@5 85.000 (85.034) Epoch: [87][8360/11272] Time 0.709 (0.789) Data 0.002 (0.002) Loss 1.5394 (1.6002) Prec@1 60.625 (56.789) Prec@5 83.125 (85.031) Epoch: [87][8370/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 2.0668 (1.6002) Prec@1 45.000 (56.788) Prec@5 79.375 (85.032) Epoch: [87][8380/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.6789 (1.6003) Prec@1 56.250 (56.784) Prec@5 81.250 (85.030) Epoch: [87][8390/11272] Time 0.761 (0.789) Data 0.002 (0.002) Loss 1.7828 (1.6003) Prec@1 55.000 (56.784) Prec@5 80.625 (85.030) Epoch: [87][8400/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.6689 (1.6004) Prec@1 53.750 (56.783) Prec@5 81.875 (85.029) Epoch: [87][8410/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.6268 (1.6003) Prec@1 58.750 (56.784) Prec@5 80.625 (85.029) Epoch: [87][8420/11272] Time 0.875 (0.789) Data 0.002 (0.002) Loss 1.6997 (1.6004) Prec@1 54.375 (56.784) Prec@5 84.375 (85.028) Epoch: [87][8430/11272] Time 0.762 (0.789) Data 0.001 (0.002) Loss 1.5902 (1.6004) Prec@1 55.000 (56.781) Prec@5 85.000 (85.028) Epoch: [87][8440/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.6329 (1.6005) Prec@1 55.625 (56.779) Prec@5 85.625 (85.028) Epoch: [87][8450/11272] Time 0.902 (0.789) Data 0.002 (0.002) Loss 1.5220 (1.6004) Prec@1 62.500 (56.780) Prec@5 85.625 (85.027) Epoch: [87][8460/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.7826 (1.6004) Prec@1 54.375 (56.782) Prec@5 82.500 (85.027) Epoch: [87][8470/11272] Time 0.748 (0.789) Data 0.002 (0.002) Loss 1.3089 (1.6004) Prec@1 65.625 (56.783) Prec@5 86.250 (85.028) Epoch: [87][8480/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.6229 (1.6005) Prec@1 56.250 (56.781) Prec@5 86.875 (85.027) Epoch: [87][8490/11272] Time 0.882 (0.789) Data 0.001 (0.002) Loss 1.5497 (1.6006) Prec@1 60.000 (56.780) Prec@5 85.000 (85.026) Epoch: [87][8500/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.7885 (1.6006) Prec@1 53.750 (56.781) Prec@5 79.375 (85.025) Epoch: [87][8510/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.6720 (1.6007) Prec@1 59.375 (56.779) Prec@5 81.875 (85.024) Epoch: [87][8520/11272] Time 0.879 (0.789) Data 0.001 (0.002) Loss 1.6289 (1.6006) Prec@1 50.625 (56.778) Prec@5 83.750 (85.025) Epoch: [87][8530/11272] Time 0.863 (0.789) Data 0.002 (0.002) Loss 1.5556 (1.6006) Prec@1 61.250 (56.779) Prec@5 86.250 (85.024) Epoch: [87][8540/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.4760 (1.6007) Prec@1 58.125 (56.777) Prec@5 85.625 (85.023) Epoch: [87][8550/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.5727 (1.6006) Prec@1 59.375 (56.778) Prec@5 85.000 (85.024) Epoch: [87][8560/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.6807 (1.6007) Prec@1 54.375 (56.775) Prec@5 82.500 (85.023) Epoch: [87][8570/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.4212 (1.6007) Prec@1 58.125 (56.773) Prec@5 85.625 (85.023) Epoch: [87][8580/11272] Time 0.712 (0.789) Data 0.002 (0.002) Loss 1.7248 (1.6008) Prec@1 53.750 (56.771) Prec@5 84.375 (85.022) Epoch: [87][8590/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.4565 (1.6008) Prec@1 57.500 (56.771) Prec@5 87.500 (85.023) Epoch: [87][8600/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.7025 (1.6008) Prec@1 54.375 (56.770) Prec@5 85.000 (85.022) Epoch: [87][8610/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.7758 (1.6010) Prec@1 55.000 (56.767) Prec@5 81.250 (85.019) Epoch: [87][8620/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.3800 (1.6009) Prec@1 60.000 (56.768) Prec@5 88.125 (85.021) Epoch: [87][8630/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.4595 (1.6008) Prec@1 61.875 (56.771) Prec@5 86.875 (85.023) Epoch: [87][8640/11272] Time 0.801 (0.789) Data 0.002 (0.002) Loss 1.7529 (1.6008) Prec@1 54.375 (56.770) Prec@5 83.125 (85.023) Epoch: [87][8650/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.5847 (1.6008) Prec@1 62.500 (56.771) Prec@5 86.250 (85.023) Epoch: [87][8660/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 1.8135 (1.6008) Prec@1 52.500 (56.769) Prec@5 84.375 (85.024) Epoch: [87][8670/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.8095 (1.6008) Prec@1 51.250 (56.769) Prec@5 81.875 (85.025) Epoch: [87][8680/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 1.8844 (1.6008) Prec@1 52.500 (56.767) Prec@5 80.000 (85.024) Epoch: [87][8690/11272] Time 0.774 (0.789) Data 0.002 (0.002) Loss 1.7263 (1.6008) Prec@1 51.250 (56.769) Prec@5 86.875 (85.025) Epoch: [87][8700/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.7247 (1.6008) Prec@1 53.125 (56.768) Prec@5 83.125 (85.026) Epoch: [87][8710/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.4947 (1.6007) Prec@1 56.875 (56.770) Prec@5 86.875 (85.026) Epoch: [87][8720/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.6547 (1.6007) Prec@1 52.500 (56.768) Prec@5 83.750 (85.026) Epoch: [87][8730/11272] Time 0.747 (0.789) Data 0.001 (0.002) Loss 1.5029 (1.6008) Prec@1 57.500 (56.768) Prec@5 88.125 (85.025) Epoch: [87][8740/11272] Time 0.854 (0.789) Data 0.001 (0.002) Loss 1.6002 (1.6007) Prec@1 52.500 (56.768) Prec@5 86.250 (85.026) Epoch: [87][8750/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.4948 (1.6008) Prec@1 60.625 (56.767) Prec@5 88.125 (85.027) Epoch: [87][8760/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.7246 (1.6008) Prec@1 55.000 (56.766) Prec@5 81.875 (85.025) Epoch: [87][8770/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.6159 (1.6010) Prec@1 56.250 (56.762) Prec@5 85.000 (85.023) Epoch: [87][8780/11272] Time 0.864 (0.789) Data 0.002 (0.002) Loss 1.5923 (1.6009) Prec@1 60.000 (56.765) Prec@5 83.125 (85.024) Epoch: [87][8790/11272] Time 0.887 (0.789) Data 0.002 (0.002) Loss 1.5014 (1.6008) Prec@1 57.500 (56.767) Prec@5 88.125 (85.025) Epoch: [87][8800/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.6005 (1.6009) Prec@1 56.875 (56.766) Prec@5 85.625 (85.023) Epoch: [87][8810/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.5892 (1.6009) Prec@1 61.250 (56.766) Prec@5 88.125 (85.024) Epoch: [87][8820/11272] Time 0.831 (0.789) Data 0.002 (0.002) Loss 1.7802 (1.6010) Prec@1 56.250 (56.766) Prec@5 80.000 (85.022) Epoch: [87][8830/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 1.5873 (1.6010) Prec@1 55.625 (56.765) Prec@5 85.000 (85.022) Epoch: [87][8840/11272] Time 0.769 (0.789) Data 0.002 (0.002) Loss 1.6665 (1.6012) Prec@1 57.500 (56.764) Prec@5 81.875 (85.019) Epoch: [87][8850/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.7686 (1.6012) Prec@1 53.750 (56.763) Prec@5 83.125 (85.018) Epoch: [87][8860/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 1.3696 (1.6013) Prec@1 61.250 (56.760) Prec@5 88.125 (85.017) Epoch: [87][8870/11272] Time 0.717 (0.789) Data 0.003 (0.002) Loss 1.6239 (1.6013) Prec@1 51.875 (56.758) Prec@5 84.375 (85.015) Epoch: [87][8880/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.5689 (1.6014) Prec@1 55.000 (56.757) Prec@5 81.875 (85.016) Epoch: [87][8890/11272] Time 0.899 (0.789) Data 0.002 (0.002) Loss 1.5452 (1.6014) Prec@1 58.750 (56.756) Prec@5 88.125 (85.015) Epoch: [87][8900/11272] Time 0.874 (0.789) Data 0.002 (0.002) Loss 1.4375 (1.6014) Prec@1 60.000 (56.757) Prec@5 86.875 (85.016) Epoch: [87][8910/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.5718 (1.6014) Prec@1 55.000 (56.758) Prec@5 86.875 (85.016) Epoch: [87][8920/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5568 (1.6014) Prec@1 57.500 (56.756) Prec@5 85.000 (85.017) Epoch: [87][8930/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.5141 (1.6013) Prec@1 57.500 (56.759) Prec@5 88.750 (85.019) Epoch: [87][8940/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.7212 (1.6012) Prec@1 56.250 (56.761) Prec@5 83.125 (85.020) Epoch: [87][8950/11272] Time 0.765 (0.789) Data 0.002 (0.002) Loss 1.6417 (1.6013) Prec@1 59.375 (56.759) Prec@5 83.750 (85.018) Epoch: [87][8960/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.2581 (1.6013) Prec@1 65.000 (56.760) Prec@5 88.750 (85.020) Epoch: [87][8970/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.7295 (1.6012) Prec@1 53.125 (56.761) Prec@5 81.875 (85.021) Epoch: [87][8980/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.5885 (1.6013) Prec@1 57.500 (56.760) Prec@5 83.125 (85.019) Epoch: [87][8990/11272] Time 0.749 (0.789) Data 0.002 (0.002) Loss 1.6410 (1.6013) Prec@1 55.625 (56.759) Prec@5 81.875 (85.019) Epoch: [87][9000/11272] Time 0.888 (0.789) Data 0.002 (0.002) Loss 1.3189 (1.6013) Prec@1 65.000 (56.759) Prec@5 87.500 (85.018) Epoch: [87][9010/11272] Time 0.874 (0.789) Data 0.005 (0.002) Loss 1.5516 (1.6014) Prec@1 60.000 (56.758) Prec@5 88.750 (85.018) Epoch: [87][9020/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.6030 (1.6014) Prec@1 56.250 (56.756) Prec@5 85.625 (85.019) Epoch: [87][9030/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 1.4259 (1.6015) Prec@1 58.750 (56.755) Prec@5 84.375 (85.018) Epoch: [87][9040/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.8043 (1.6015) Prec@1 56.875 (56.752) Prec@5 80.625 (85.017) Epoch: [87][9050/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.5860 (1.6015) Prec@1 56.250 (56.752) Prec@5 83.750 (85.017) Epoch: [87][9060/11272] Time 0.709 (0.789) Data 0.002 (0.002) Loss 1.7182 (1.6015) Prec@1 54.375 (56.752) Prec@5 83.750 (85.018) Epoch: [87][9070/11272] Time 0.731 (0.789) Data 0.002 (0.002) Loss 1.6937 (1.6016) Prec@1 56.250 (56.750) Prec@5 82.500 (85.017) Epoch: [87][9080/11272] Time 0.866 (0.789) Data 0.002 (0.002) Loss 1.5939 (1.6017) Prec@1 58.750 (56.749) Prec@5 87.500 (85.015) Epoch: [87][9090/11272] Time 0.865 (0.789) Data 0.001 (0.002) Loss 1.4492 (1.6017) Prec@1 59.375 (56.749) Prec@5 85.000 (85.014) Epoch: [87][9100/11272] Time 0.765 (0.789) Data 0.002 (0.002) Loss 1.5174 (1.6017) Prec@1 59.375 (56.749) Prec@5 86.875 (85.014) Epoch: [87][9110/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.7021 (1.6017) Prec@1 53.750 (56.748) Prec@5 83.125 (85.014) Epoch: [87][9120/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.5353 (1.6018) Prec@1 56.875 (56.746) Prec@5 86.875 (85.015) Epoch: [87][9130/11272] Time 0.699 (0.789) Data 0.002 (0.002) Loss 1.4353 (1.6018) Prec@1 58.750 (56.745) Prec@5 85.000 (85.013) Epoch: [87][9140/11272] Time 0.707 (0.789) Data 0.001 (0.002) Loss 1.7906 (1.6020) Prec@1 55.000 (56.743) Prec@5 77.500 (85.010) Epoch: [87][9150/11272] Time 0.822 (0.789) Data 0.002 (0.002) Loss 1.7954 (1.6020) Prec@1 50.625 (56.742) Prec@5 80.625 (85.009) Epoch: [87][9160/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.4196 (1.6020) Prec@1 61.875 (56.742) Prec@5 87.500 (85.009) Epoch: [87][9170/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.6714 (1.6020) Prec@1 56.250 (56.742) Prec@5 84.375 (85.008) Epoch: [87][9180/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.6402 (1.6021) Prec@1 54.375 (56.739) Prec@5 81.250 (85.007) Epoch: [87][9190/11272] Time 0.869 (0.789) Data 0.001 (0.002) Loss 1.6275 (1.6021) Prec@1 52.500 (56.739) Prec@5 85.625 (85.008) Epoch: [87][9200/11272] Time 0.798 (0.789) Data 0.001 (0.002) Loss 1.7082 (1.6021) Prec@1 53.750 (56.739) Prec@5 85.000 (85.007) Epoch: [87][9210/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.4571 (1.6021) Prec@1 56.250 (56.738) Prec@5 85.000 (85.009) Epoch: [87][9220/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.4937 (1.6020) Prec@1 58.750 (56.740) Prec@5 89.375 (85.011) Epoch: [87][9230/11272] Time 0.857 (0.789) Data 0.001 (0.002) Loss 1.4747 (1.6021) Prec@1 59.375 (56.739) Prec@5 86.875 (85.009) Epoch: [87][9240/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 1.7873 (1.6022) Prec@1 55.000 (56.735) Prec@5 78.750 (85.009) Epoch: [87][9250/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.4323 (1.6022) Prec@1 63.750 (56.736) Prec@5 90.000 (85.009) Epoch: [87][9260/11272] Time 0.898 (0.789) Data 0.001 (0.002) Loss 1.4370 (1.6022) Prec@1 58.750 (56.735) Prec@5 86.875 (85.009) Epoch: [87][9270/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 1.4271 (1.6022) Prec@1 60.625 (56.735) Prec@5 90.000 (85.009) Epoch: [87][9280/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.6925 (1.6022) Prec@1 55.625 (56.734) Prec@5 83.750 (85.010) Epoch: [87][9290/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.6741 (1.6023) Prec@1 53.750 (56.732) Prec@5 86.875 (85.009) Epoch: [87][9300/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.2953 (1.6022) Prec@1 66.250 (56.732) Prec@5 86.250 (85.009) Epoch: [87][9310/11272] Time 0.814 (0.789) Data 0.002 (0.002) Loss 1.5112 (1.6022) Prec@1 60.000 (56.733) Prec@5 84.375 (85.010) Epoch: [87][9320/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.5975 (1.6023) Prec@1 58.125 (56.731) Prec@5 85.625 (85.009) Epoch: [87][9330/11272] Time 0.750 (0.789) Data 0.001 (0.002) Loss 1.6422 (1.6022) Prec@1 54.375 (56.732) Prec@5 85.000 (85.009) Epoch: [87][9340/11272] Time 0.865 (0.789) Data 0.001 (0.002) Loss 1.4480 (1.6022) Prec@1 59.375 (56.732) Prec@5 88.750 (85.010) Epoch: [87][9350/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.6152 (1.6022) Prec@1 58.125 (56.731) Prec@5 83.750 (85.010) Epoch: [87][9360/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.7522 (1.6023) Prec@1 53.125 (56.729) Prec@5 82.500 (85.009) Epoch: [87][9370/11272] Time 0.744 (0.789) Data 0.002 (0.002) Loss 1.6410 (1.6024) Prec@1 51.875 (56.730) Prec@5 86.250 (85.008) Epoch: [87][9380/11272] Time 0.807 (0.789) Data 0.002 (0.002) Loss 1.7927 (1.6025) Prec@1 54.375 (56.729) Prec@5 81.875 (85.007) Epoch: [87][9390/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.5092 (1.6025) Prec@1 56.875 (56.728) Prec@5 87.500 (85.007) Epoch: [87][9400/11272] Time 0.689 (0.789) Data 0.001 (0.002) Loss 1.7966 (1.6025) Prec@1 51.875 (56.728) Prec@5 83.750 (85.006) Epoch: [87][9410/11272] Time 0.861 (0.789) Data 0.002 (0.002) Loss 1.3672 (1.6026) Prec@1 63.125 (56.727) Prec@5 88.750 (85.006) Epoch: [87][9420/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.5216 (1.6027) Prec@1 55.625 (56.726) Prec@5 82.500 (85.004) Epoch: [87][9430/11272] Time 0.787 (0.789) Data 0.002 (0.002) Loss 1.5632 (1.6027) Prec@1 55.625 (56.726) Prec@5 85.000 (85.004) Epoch: [87][9440/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5920 (1.6027) Prec@1 56.875 (56.725) Prec@5 81.875 (85.004) Epoch: [87][9450/11272] Time 0.866 (0.789) Data 0.002 (0.002) Loss 1.4168 (1.6027) Prec@1 61.875 (56.724) Prec@5 87.500 (85.004) Epoch: [87][9460/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 1.7726 (1.6027) Prec@1 54.375 (56.724) Prec@5 82.500 (85.004) Epoch: [87][9470/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.6232 (1.6027) Prec@1 58.750 (56.725) Prec@5 81.250 (85.003) Epoch: [87][9480/11272] Time 0.737 (0.789) Data 0.002 (0.002) Loss 1.4722 (1.6027) Prec@1 60.000 (56.724) Prec@5 86.875 (85.003) Epoch: [87][9490/11272] Time 0.876 (0.789) Data 0.002 (0.002) Loss 1.5249 (1.6028) Prec@1 60.000 (56.721) Prec@5 86.250 (85.002) Epoch: [87][9500/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.4870 (1.6028) Prec@1 60.000 (56.721) Prec@5 88.750 (85.002) Epoch: [87][9510/11272] Time 0.760 (0.789) Data 0.001 (0.002) Loss 1.6293 (1.6028) Prec@1 59.375 (56.722) Prec@5 85.000 (85.001) Epoch: [87][9520/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.6616 (1.6028) Prec@1 54.375 (56.723) Prec@5 85.000 (85.001) Epoch: [87][9530/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.5761 (1.6029) Prec@1 55.000 (56.721) Prec@5 86.250 (84.999) Epoch: [87][9540/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.7094 (1.6030) Prec@1 49.375 (56.718) Prec@5 85.625 (84.999) Epoch: [87][9550/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.5409 (1.6030) Prec@1 57.500 (56.717) Prec@5 86.875 (84.998) Epoch: [87][9560/11272] Time 0.855 (0.789) Data 0.001 (0.002) Loss 1.5655 (1.6031) Prec@1 60.000 (56.717) Prec@5 83.125 (84.997) Epoch: [87][9570/11272] Time 0.895 (0.789) Data 0.002 (0.002) Loss 1.7366 (1.6031) Prec@1 53.750 (56.715) Prec@5 80.000 (84.998) Epoch: [87][9580/11272] Time 0.755 (0.789) Data 0.002 (0.002) Loss 1.8082 (1.6031) Prec@1 52.500 (56.712) Prec@5 83.125 (84.998) Epoch: [87][9590/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.4852 (1.6031) Prec@1 58.125 (56.713) Prec@5 86.875 (84.999) Epoch: [87][9600/11272] Time 0.876 (0.789) Data 0.002 (0.002) Loss 1.6889 (1.6031) Prec@1 53.125 (56.712) Prec@5 83.125 (84.998) Epoch: [87][9610/11272] Time 0.845 (0.789) Data 0.002 (0.002) Loss 1.5572 (1.6032) Prec@1 59.375 (56.713) Prec@5 88.125 (84.999) Epoch: [87][9620/11272] Time 0.707 (0.789) Data 0.002 (0.002) Loss 1.5219 (1.6031) Prec@1 57.500 (56.713) Prec@5 88.125 (84.999) Epoch: [87][9630/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.8280 (1.6032) Prec@1 53.750 (56.710) Prec@5 80.000 (84.997) Epoch: [87][9640/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.6818 (1.6032) Prec@1 59.375 (56.711) Prec@5 82.500 (84.997) Epoch: [87][9650/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.7605 (1.6032) Prec@1 50.625 (56.711) Prec@5 85.625 (84.997) Epoch: [87][9660/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.5499 (1.6033) Prec@1 55.000 (56.710) Prec@5 83.750 (84.996) Epoch: [87][9670/11272] Time 0.825 (0.789) Data 0.002 (0.002) Loss 1.4856 (1.6033) Prec@1 57.500 (56.708) Prec@5 88.750 (84.996) Epoch: [87][9680/11272] Time 0.920 (0.789) Data 0.002 (0.002) Loss 1.4710 (1.6033) Prec@1 54.375 (56.709) Prec@5 88.750 (84.996) Epoch: [87][9690/11272] Time 0.748 (0.789) Data 0.001 (0.002) Loss 1.5062 (1.6033) Prec@1 60.625 (56.709) Prec@5 88.125 (84.995) Epoch: [87][9700/11272] Time 0.709 (0.789) Data 0.002 (0.002) Loss 1.5945 (1.6033) Prec@1 59.375 (56.709) Prec@5 84.375 (84.995) Epoch: [87][9710/11272] Time 0.807 (0.789) Data 0.001 (0.002) Loss 1.5835 (1.6034) Prec@1 57.500 (56.707) Prec@5 84.375 (84.997) Epoch: [87][9720/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.7022 (1.6033) Prec@1 51.250 (56.708) Prec@5 82.500 (84.997) Epoch: [87][9730/11272] Time 0.765 (0.789) Data 0.002 (0.002) Loss 1.5197 (1.6033) Prec@1 59.375 (56.707) Prec@5 85.000 (84.996) Epoch: [87][9740/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.4616 (1.6033) Prec@1 61.875 (56.709) Prec@5 85.625 (84.997) Epoch: [87][9750/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 1.5950 (1.6034) Prec@1 61.250 (56.706) Prec@5 85.625 (84.995) Epoch: [87][9760/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 1.7790 (1.6034) Prec@1 55.000 (56.706) Prec@5 82.500 (84.995) Epoch: [87][9770/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.6513 (1.6033) Prec@1 58.750 (56.707) Prec@5 86.875 (84.997) Epoch: [87][9780/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.6673 (1.6033) Prec@1 56.875 (56.708) Prec@5 84.375 (84.996) Epoch: [87][9790/11272] Time 0.906 (0.789) Data 0.001 (0.002) Loss 1.6645 (1.6033) Prec@1 51.250 (56.708) Prec@5 84.375 (84.996) Epoch: [87][9800/11272] Time 0.713 (0.789) Data 0.003 (0.002) Loss 1.6086 (1.6034) Prec@1 55.625 (56.707) Prec@5 86.250 (84.994) Epoch: [87][9810/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.5866 (1.6034) Prec@1 56.875 (56.708) Prec@5 84.375 (84.994) Epoch: [87][9820/11272] Time 0.897 (0.789) Data 0.001 (0.002) Loss 1.6784 (1.6034) Prec@1 53.125 (56.707) Prec@5 81.250 (84.995) Epoch: [87][9830/11272] Time 0.879 (0.789) Data 0.002 (0.002) Loss 1.5070 (1.6034) Prec@1 55.625 (56.708) Prec@5 86.875 (84.995) Epoch: [87][9840/11272] Time 0.775 (0.789) Data 0.002 (0.002) Loss 1.6185 (1.6034) Prec@1 55.000 (56.707) Prec@5 82.500 (84.996) Epoch: [87][9850/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.4610 (1.6034) Prec@1 58.125 (56.709) Prec@5 87.500 (84.996) Epoch: [87][9860/11272] Time 0.867 (0.789) Data 0.002 (0.002) Loss 1.6912 (1.6035) Prec@1 56.250 (56.706) Prec@5 85.000 (84.996) Epoch: [87][9870/11272] Time 0.856 (0.789) Data 0.001 (0.002) Loss 1.9134 (1.6036) Prec@1 48.750 (56.704) Prec@5 75.625 (84.994) Epoch: [87][9880/11272] Time 0.758 (0.789) Data 0.003 (0.002) Loss 1.5831 (1.6036) Prec@1 59.375 (56.705) Prec@5 86.875 (84.994) Epoch: [87][9890/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.4900 (1.6036) Prec@1 60.625 (56.705) Prec@5 87.500 (84.993) Epoch: [87][9900/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.4553 (1.6036) Prec@1 61.875 (56.706) Prec@5 82.500 (84.992) Epoch: [87][9910/11272] Time 0.795 (0.789) Data 0.001 (0.002) Loss 1.6807 (1.6037) Prec@1 53.125 (56.705) Prec@5 86.250 (84.991) Epoch: [87][9920/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.4984 (1.6037) Prec@1 58.125 (56.703) Prec@5 87.500 (84.992) Epoch: [87][9930/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 1.4570 (1.6036) Prec@1 61.250 (56.704) Prec@5 86.250 (84.993) Epoch: [87][9940/11272] Time 0.827 (0.789) Data 0.002 (0.002) Loss 1.5022 (1.6036) Prec@1 57.500 (56.704) Prec@5 87.500 (84.993) Epoch: [87][9950/11272] Time 0.759 (0.789) Data 0.002 (0.002) Loss 1.4404 (1.6037) Prec@1 63.125 (56.703) Prec@5 86.875 (84.992) Epoch: [87][9960/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.7467 (1.6038) Prec@1 48.125 (56.700) Prec@5 86.875 (84.990) Epoch: [87][9970/11272] Time 0.877 (0.789) Data 0.002 (0.002) Loss 1.6163 (1.6038) Prec@1 55.625 (56.699) Prec@5 86.250 (84.989) Epoch: [87][9980/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 1.6674 (1.6037) Prec@1 55.625 (56.700) Prec@5 80.625 (84.989) Epoch: [87][9990/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.7965 (1.6038) Prec@1 55.000 (56.699) Prec@5 78.750 (84.988) Epoch: [87][10000/11272] Time 0.721 (0.789) Data 0.002 (0.002) Loss 1.6497 (1.6037) Prec@1 56.250 (56.700) Prec@5 83.750 (84.989) Epoch: [87][10010/11272] Time 0.925 (0.789) Data 0.001 (0.002) Loss 2.1603 (1.6038) Prec@1 47.500 (56.698) Prec@5 70.000 (84.986) Epoch: [87][10020/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.6597 (1.6038) Prec@1 52.500 (56.698) Prec@5 83.750 (84.987) Epoch: [87][10030/11272] Time 0.731 (0.789) Data 0.002 (0.002) Loss 1.5808 (1.6038) Prec@1 58.125 (56.699) Prec@5 85.000 (84.987) Epoch: [87][10040/11272] Time 0.712 (0.789) Data 0.002 (0.002) Loss 1.7501 (1.6039) Prec@1 51.250 (56.698) Prec@5 80.625 (84.985) Epoch: [87][10050/11272] Time 0.829 (0.789) Data 0.002 (0.002) Loss 1.7337 (1.6039) Prec@1 53.125 (56.698) Prec@5 83.125 (84.985) Epoch: [87][10060/11272] Time 0.716 (0.789) Data 0.004 (0.002) Loss 1.5919 (1.6038) Prec@1 54.375 (56.698) Prec@5 81.875 (84.986) Epoch: [87][10070/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.6949 (1.6038) Prec@1 58.750 (56.699) Prec@5 78.750 (84.986) Epoch: [87][10080/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.5523 (1.6039) Prec@1 61.250 (56.700) Prec@5 85.000 (84.985) Epoch: [87][10090/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 1.7494 (1.6039) Prec@1 51.250 (56.697) Prec@5 83.125 (84.984) Epoch: [87][10100/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.3763 (1.6040) Prec@1 65.000 (56.697) Prec@5 88.750 (84.984) Epoch: [87][10110/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 1.5852 (1.6040) Prec@1 53.125 (56.697) Prec@5 83.750 (84.982) Epoch: [87][10120/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.4415 (1.6041) Prec@1 63.750 (56.696) Prec@5 87.500 (84.981) Epoch: [87][10130/11272] Time 0.871 (0.789) Data 0.001 (0.002) Loss 1.4747 (1.6041) Prec@1 57.500 (56.695) Prec@5 86.250 (84.981) Epoch: [87][10140/11272] Time 0.758 (0.789) Data 0.001 (0.002) Loss 1.5915 (1.6041) Prec@1 58.750 (56.696) Prec@5 85.000 (84.981) Epoch: [87][10150/11272] Time 0.759 (0.789) Data 0.001 (0.002) Loss 1.6521 (1.6041) Prec@1 54.375 (56.693) Prec@5 85.000 (84.981) Epoch: [87][10160/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.7306 (1.6041) Prec@1 50.000 (56.693) Prec@5 83.125 (84.982) Epoch: [87][10170/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.5506 (1.6041) Prec@1 53.750 (56.691) Prec@5 85.000 (84.982) Epoch: [87][10180/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5463 (1.6042) Prec@1 58.125 (56.690) Prec@5 84.375 (84.981) Epoch: [87][10190/11272] Time 0.888 (0.789) Data 0.001 (0.002) Loss 1.5968 (1.6042) Prec@1 55.000 (56.690) Prec@5 85.000 (84.982) Epoch: [87][10200/11272] Time 0.849 (0.789) Data 0.001 (0.002) Loss 1.5586 (1.6042) Prec@1 58.125 (56.690) Prec@5 86.875 (84.981) Epoch: [87][10210/11272] Time 0.715 (0.789) Data 0.002 (0.002) Loss 1.5963 (1.6042) Prec@1 56.875 (56.691) Prec@5 84.375 (84.981) Epoch: [87][10220/11272] Time 0.697 (0.789) Data 0.002 (0.002) Loss 1.5703 (1.6042) Prec@1 58.125 (56.691) Prec@5 86.250 (84.981) Epoch: [87][10230/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.6289 (1.6043) Prec@1 56.875 (56.688) Prec@5 84.375 (84.980) Epoch: [87][10240/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.6161 (1.6042) Prec@1 53.750 (56.688) Prec@5 84.375 (84.981) Epoch: [87][10250/11272] Time 0.768 (0.789) Data 0.002 (0.002) Loss 1.6782 (1.6043) Prec@1 57.500 (56.687) Prec@5 83.750 (84.981) Epoch: [87][10260/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.4616 (1.6043) Prec@1 61.250 (56.687) Prec@5 85.625 (84.981) Epoch: [87][10270/11272] Time 0.855 (0.789) Data 0.002 (0.002) Loss 1.7991 (1.6043) Prec@1 54.375 (56.687) Prec@5 78.750 (84.981) Epoch: [87][10280/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.7758 (1.6043) Prec@1 50.625 (56.685) Prec@5 80.000 (84.980) Epoch: [87][10290/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.4584 (1.6043) Prec@1 57.500 (56.685) Prec@5 86.250 (84.980) Epoch: [87][10300/11272] Time 0.711 (0.789) Data 0.002 (0.002) Loss 1.5777 (1.6042) Prec@1 60.000 (56.687) Prec@5 85.625 (84.980) Epoch: [87][10310/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.8061 (1.6042) Prec@1 57.500 (56.687) Prec@5 77.500 (84.979) Epoch: [87][10320/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.4327 (1.6042) Prec@1 61.250 (56.688) Prec@5 87.500 (84.979) Epoch: [87][10330/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5101 (1.6042) Prec@1 58.750 (56.687) Prec@5 88.750 (84.980) Epoch: [87][10340/11272] Time 0.843 (0.789) Data 0.001 (0.002) Loss 1.6106 (1.6042) Prec@1 58.125 (56.690) Prec@5 83.750 (84.981) Epoch: [87][10350/11272] Time 1.005 (0.789) Data 0.001 (0.002) Loss 1.6802 (1.6042) Prec@1 53.125 (56.689) Prec@5 83.750 (84.980) Epoch: [87][10360/11272] Time 0.696 (0.789) Data 0.001 (0.002) Loss 1.7750 (1.6043) Prec@1 53.750 (56.686) Prec@5 84.375 (84.979) Epoch: [87][10370/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.8303 (1.6044) Prec@1 48.125 (56.684) Prec@5 83.750 (84.978) Epoch: [87][10380/11272] Time 0.816 (0.789) Data 0.002 (0.002) Loss 1.6710 (1.6044) Prec@1 52.500 (56.683) Prec@5 83.750 (84.977) Epoch: [87][10390/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.5375 (1.6045) Prec@1 57.500 (56.682) Prec@5 86.250 (84.977) Epoch: [87][10400/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.5681 (1.6045) Prec@1 53.750 (56.681) Prec@5 88.125 (84.978) Epoch: [87][10410/11272] Time 0.752 (0.789) Data 0.001 (0.002) Loss 1.6893 (1.6045) Prec@1 54.375 (56.682) Prec@5 83.750 (84.977) Epoch: [87][10420/11272] Time 0.856 (0.789) Data 0.001 (0.002) Loss 1.5713 (1.6045) Prec@1 55.625 (56.682) Prec@5 86.875 (84.976) Epoch: [87][10430/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.6001 (1.6045) Prec@1 58.125 (56.682) Prec@5 86.250 (84.977) Epoch: [87][10440/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.5730 (1.6045) Prec@1 60.000 (56.680) Prec@5 83.750 (84.977) Epoch: [87][10450/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.8990 (1.6045) Prec@1 46.875 (56.680) Prec@5 82.500 (84.977) Epoch: [87][10460/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.5848 (1.6045) Prec@1 54.375 (56.681) Prec@5 86.875 (84.978) Epoch: [87][10470/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.4888 (1.6046) Prec@1 62.500 (56.679) Prec@5 86.250 (84.976) Epoch: [87][10480/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.5586 (1.6046) Prec@1 56.250 (56.680) Prec@5 85.000 (84.975) Epoch: [87][10490/11272] Time 0.846 (0.789) Data 0.002 (0.002) Loss 1.6295 (1.6046) Prec@1 58.125 (56.680) Prec@5 82.500 (84.975) Epoch: [87][10500/11272] Time 0.807 (0.789) Data 0.002 (0.002) Loss 1.7520 (1.6046) Prec@1 55.625 (56.681) Prec@5 81.250 (84.974) Epoch: [87][10510/11272] Time 0.712 (0.789) Data 0.002 (0.002) Loss 1.8199 (1.6046) Prec@1 48.750 (56.680) Prec@5 82.500 (84.973) Epoch: [87][10520/11272] Time 0.720 (0.789) Data 0.002 (0.002) Loss 1.5679 (1.6046) Prec@1 55.625 (56.681) Prec@5 84.375 (84.972) Epoch: [87][10530/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.7650 (1.6046) Prec@1 52.500 (56.679) Prec@5 85.000 (84.973) Epoch: [87][10540/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.6557 (1.6046) Prec@1 51.875 (56.680) Prec@5 87.500 (84.973) Epoch: [87][10550/11272] Time 0.732 (0.789) Data 0.001 (0.002) Loss 1.3989 (1.6045) Prec@1 65.000 (56.682) Prec@5 87.500 (84.975) Epoch: [87][10560/11272] Time 0.784 (0.789) Data 0.002 (0.002) Loss 1.7286 (1.6045) Prec@1 57.500 (56.682) Prec@5 80.000 (84.974) Epoch: [87][10570/11272] Time 0.885 (0.789) Data 0.001 (0.002) Loss 1.6723 (1.6046) Prec@1 56.875 (56.681) Prec@5 85.000 (84.974) Epoch: [87][10580/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.6618 (1.6045) Prec@1 59.375 (56.683) Prec@5 81.875 (84.976) Epoch: [87][10590/11272] Time 0.752 (0.789) Data 0.002 (0.002) Loss 1.6390 (1.6045) Prec@1 53.125 (56.682) Prec@5 83.750 (84.976) Epoch: [87][10600/11272] Time 0.853 (0.789) Data 0.001 (0.002) Loss 1.4368 (1.6046) Prec@1 54.375 (56.680) Prec@5 88.125 (84.974) Epoch: [87][10610/11272] Time 0.846 (0.789) Data 0.002 (0.002) Loss 1.7264 (1.6046) Prec@1 53.750 (56.680) Prec@5 81.250 (84.974) Epoch: [87][10620/11272] Time 0.708 (0.789) Data 0.001 (0.002) Loss 1.5605 (1.6046) Prec@1 58.750 (56.678) Prec@5 85.000 (84.975) Epoch: [87][10630/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.6904 (1.6047) Prec@1 57.500 (56.678) Prec@5 83.750 (84.974) Epoch: [87][10640/11272] Time 0.893 (0.789) Data 0.002 (0.002) Loss 1.6070 (1.6047) Prec@1 58.750 (56.679) Prec@5 82.500 (84.973) Epoch: [87][10650/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.5393 (1.6047) Prec@1 59.375 (56.680) Prec@5 81.250 (84.971) Epoch: [87][10660/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.5460 (1.6047) Prec@1 57.500 (56.682) Prec@5 87.500 (84.973) Epoch: [87][10670/11272] Time 0.746 (0.789) Data 0.001 (0.002) Loss 1.7950 (1.6048) Prec@1 54.375 (56.680) Prec@5 75.625 (84.971) Epoch: [87][10680/11272] Time 0.849 (0.789) Data 0.002 (0.002) Loss 1.6171 (1.6049) Prec@1 52.500 (56.677) Prec@5 86.875 (84.969) Epoch: [87][10690/11272] Time 0.802 (0.789) Data 0.001 (0.002) Loss 1.8030 (1.6049) Prec@1 53.750 (56.676) Prec@5 80.000 (84.969) Epoch: [87][10700/11272] Time 0.743 (0.789) Data 0.001 (0.002) Loss 1.8182 (1.6049) Prec@1 51.250 (56.675) Prec@5 80.625 (84.968) Epoch: [87][10710/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.7713 (1.6050) Prec@1 53.750 (56.673) Prec@5 86.875 (84.968) Epoch: [87][10720/11272] Time 0.945 (0.789) Data 0.004 (0.002) Loss 1.4797 (1.6049) Prec@1 61.875 (56.675) Prec@5 85.625 (84.968) Epoch: [87][10730/11272] Time 0.720 (0.789) Data 0.004 (0.002) Loss 1.4917 (1.6049) Prec@1 60.000 (56.676) Prec@5 86.250 (84.968) Epoch: [87][10740/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.6867 (1.6050) Prec@1 56.250 (56.675) Prec@5 84.375 (84.968) Epoch: [87][10750/11272] Time 0.858 (0.789) Data 0.002 (0.002) Loss 1.6395 (1.6049) Prec@1 58.125 (56.675) Prec@5 83.125 (84.969) Epoch: [87][10760/11272] Time 0.907 (0.789) Data 0.002 (0.002) Loss 1.5731 (1.6049) Prec@1 57.500 (56.676) Prec@5 83.750 (84.969) Epoch: [87][10770/11272] Time 0.730 (0.789) Data 0.002 (0.002) Loss 1.6750 (1.6049) Prec@1 55.625 (56.676) Prec@5 85.625 (84.969) Epoch: [87][10780/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.5497 (1.6049) Prec@1 55.625 (56.674) Prec@5 89.375 (84.969) Epoch: [87][10790/11272] Time 0.862 (0.789) Data 0.001 (0.002) Loss 1.7356 (1.6049) Prec@1 50.625 (56.674) Prec@5 81.875 (84.968) Epoch: [87][10800/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.6625 (1.6050) Prec@1 55.000 (56.672) Prec@5 84.375 (84.968) Epoch: [87][10810/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.7072 (1.6050) Prec@1 53.750 (56.672) Prec@5 81.875 (84.967) Epoch: [87][10820/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.7791 (1.6049) Prec@1 52.500 (56.673) Prec@5 80.000 (84.968) Epoch: [87][10830/11272] Time 0.837 (0.789) Data 0.001 (0.002) Loss 1.5532 (1.6049) Prec@1 62.500 (56.673) Prec@5 86.250 (84.967) Epoch: [87][10840/11272] Time 0.813 (0.789) Data 0.002 (0.002) Loss 1.6560 (1.6050) Prec@1 53.125 (56.672) Prec@5 84.375 (84.966) Epoch: [87][10850/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 1.6080 (1.6051) Prec@1 56.875 (56.671) Prec@5 85.625 (84.965) Epoch: [87][10860/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.8451 (1.6052) Prec@1 50.000 (56.670) Prec@5 83.750 (84.963) Epoch: [87][10870/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.8918 (1.6052) Prec@1 49.375 (56.670) Prec@5 78.750 (84.962) Epoch: [87][10880/11272] Time 0.731 (0.789) Data 0.001 (0.002) Loss 1.3322 (1.6051) Prec@1 61.250 (56.671) Prec@5 90.000 (84.963) Epoch: [87][10890/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.8366 (1.6052) Prec@1 53.750 (56.671) Prec@5 80.000 (84.963) Epoch: [87][10900/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.5595 (1.6051) Prec@1 58.750 (56.672) Prec@5 85.625 (84.964) Epoch: [87][10910/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.9345 (1.6052) Prec@1 50.000 (56.670) Prec@5 82.500 (84.962) Epoch: [87][10920/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.8683 (1.6053) Prec@1 53.750 (56.669) Prec@5 77.500 (84.962) Epoch: [87][10930/11272] Time 0.742 (0.789) Data 0.001 (0.002) Loss 1.5308 (1.6053) Prec@1 56.875 (56.668) Prec@5 84.375 (84.962) Epoch: [87][10940/11272] Time 0.854 (0.789) Data 0.002 (0.002) Loss 1.7657 (1.6053) Prec@1 51.250 (56.668) Prec@5 81.875 (84.961) Epoch: [87][10950/11272] Time 0.876 (0.789) Data 0.002 (0.002) Loss 1.7617 (1.6054) Prec@1 53.750 (56.668) Prec@5 84.375 (84.961) Epoch: [87][10960/11272] Time 0.737 (0.789) Data 0.001 (0.002) Loss 1.5035 (1.6053) Prec@1 62.500 (56.670) Prec@5 85.000 (84.961) Epoch: [87][10970/11272] Time 0.700 (0.789) Data 0.001 (0.002) Loss 1.7522 (1.6054) Prec@1 54.375 (56.667) Prec@5 79.375 (84.960) Epoch: [87][10980/11272] Time 0.854 (0.789) Data 0.001 (0.002) Loss 1.7154 (1.6054) Prec@1 50.625 (56.666) Prec@5 86.875 (84.961) Epoch: [87][10990/11272] Time 0.748 (0.789) Data 0.004 (0.002) Loss 1.6052 (1.6054) Prec@1 58.125 (56.665) Prec@5 85.000 (84.960) Epoch: [87][11000/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.8034 (1.6055) Prec@1 50.000 (56.662) Prec@5 79.375 (84.960) Epoch: [87][11010/11272] Time 0.840 (0.789) Data 0.002 (0.002) Loss 1.4447 (1.6055) Prec@1 61.250 (56.663) Prec@5 88.750 (84.960) Epoch: [87][11020/11272] Time 0.841 (0.789) Data 0.002 (0.002) Loss 1.5969 (1.6055) Prec@1 56.875 (56.665) Prec@5 83.750 (84.960) Epoch: [87][11030/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.6785 (1.6055) Prec@1 51.875 (56.665) Prec@5 83.750 (84.960) Epoch: [87][11040/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.6219 (1.6055) Prec@1 56.875 (56.664) Prec@5 80.625 (84.959) Epoch: [87][11050/11272] Time 0.810 (0.789) Data 0.001 (0.002) Loss 1.4154 (1.6056) Prec@1 59.375 (56.663) Prec@5 88.125 (84.958) Epoch: [87][11060/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 1.4997 (1.6056) Prec@1 58.125 (56.663) Prec@5 87.500 (84.957) Epoch: [87][11070/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.7113 (1.6056) Prec@1 55.625 (56.663) Prec@5 81.250 (84.957) Epoch: [87][11080/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.5823 (1.6056) Prec@1 60.000 (56.663) Prec@5 86.875 (84.957) Epoch: [87][11090/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 1.6427 (1.6056) Prec@1 58.125 (56.663) Prec@5 83.750 (84.956) Epoch: [87][11100/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.5854 (1.6057) Prec@1 53.125 (56.662) Prec@5 86.250 (84.954) Epoch: [87][11110/11272] Time 0.691 (0.789) Data 0.001 (0.002) Loss 1.5801 (1.6057) Prec@1 51.875 (56.662) Prec@5 86.250 (84.955) Epoch: [87][11120/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.4798 (1.6057) Prec@1 59.375 (56.663) Prec@5 85.000 (84.953) Epoch: [87][11130/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.5939 (1.6057) Prec@1 58.125 (56.662) Prec@5 84.375 (84.953) Epoch: [87][11140/11272] Time 0.701 (0.789) Data 0.001 (0.002) Loss 1.7547 (1.6057) Prec@1 56.250 (56.664) Prec@5 82.500 (84.953) Epoch: [87][11150/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.5455 (1.6057) Prec@1 54.375 (56.662) Prec@5 85.625 (84.954) Epoch: [87][11160/11272] Time 0.855 (0.789) Data 0.001 (0.002) Loss 1.6942 (1.6057) Prec@1 59.375 (56.662) Prec@5 83.750 (84.954) Epoch: [87][11170/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.7125 (1.6058) Prec@1 51.250 (56.661) Prec@5 83.750 (84.953) Epoch: [87][11180/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.7032 (1.6059) Prec@1 55.625 (56.659) Prec@5 85.625 (84.951) Epoch: [87][11190/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.6670 (1.6059) Prec@1 51.875 (56.657) Prec@5 85.000 (84.950) Epoch: [87][11200/11272] Time 0.889 (0.789) Data 0.001 (0.002) Loss 1.5349 (1.6060) Prec@1 55.000 (56.657) Prec@5 86.875 (84.950) Epoch: [87][11210/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.3657 (1.6060) Prec@1 59.375 (56.656) Prec@5 86.250 (84.949) Epoch: [87][11220/11272] Time 0.757 (0.789) Data 0.001 (0.002) Loss 1.6662 (1.6060) Prec@1 56.250 (56.655) Prec@5 85.625 (84.950) Epoch: [87][11230/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.4946 (1.6060) Prec@1 61.875 (56.656) Prec@5 86.250 (84.951) Epoch: [87][11240/11272] Time 0.883 (0.789) Data 0.002 (0.002) Loss 1.6767 (1.6060) Prec@1 54.375 (56.654) Prec@5 86.250 (84.950) Epoch: [87][11250/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.7732 (1.6060) Prec@1 55.000 (56.653) Prec@5 80.625 (84.950) Epoch: [87][11260/11272] Time 0.709 (0.789) Data 0.002 (0.002) Loss 1.6816 (1.6061) Prec@1 58.125 (56.651) Prec@5 80.625 (84.949) Epoch: [87][11270/11272] Time 0.827 (0.789) Data 0.000 (0.002) Loss 1.5169 (1.6061) Prec@1 54.375 (56.651) Prec@5 87.500 (84.949) Test: [0/229] Time 3.729 (3.729) Loss 1.1334 (1.1334) Prec@1 63.750 (63.750) Prec@5 94.375 (94.375) Test: [10/229] Time 0.365 (0.893) Loss 1.0901 (1.6164) Prec@1 63.750 (56.534) Prec@5 97.500 (86.875) Test: [20/229] Time 1.485 (0.803) Loss 1.8854 (1.6973) Prec@1 56.250 (54.048) Prec@5 83.125 (86.012) Test: [30/229] Time 0.360 (0.734) Loss 2.0390 (1.6460) Prec@1 39.375 (56.028) Prec@5 85.625 (86.351) Test: [40/229] Time 1.813 (0.739) Loss 0.3826 (1.6356) Prec@1 91.875 (56.311) Prec@5 96.250 (86.448) Test: [50/229] Time 0.316 (0.715) Loss 2.2613 (1.6913) Prec@1 39.375 (55.429) Prec@5 80.000 (85.331) Test: [60/229] Time 1.343 (0.716) Loss 2.0092 (1.6887) Prec@1 41.875 (55.369) Prec@5 85.000 (85.359) Test: [70/229] Time 0.436 (0.705) Loss 1.1695 (1.6996) Prec@1 72.500 (55.123) Prec@5 88.750 (85.273) Test: [80/229] Time 1.421 (0.706) Loss 2.3403 (1.7167) Prec@1 32.500 (54.360) Prec@5 78.750 (85.185) Test: [90/229] Time 0.351 (0.695) Loss 1.4330 (1.7220) Prec@1 67.500 (54.265) Prec@5 85.625 (85.165) Test: [100/229] Time 1.322 (0.694) Loss 2.1744 (1.7176) Prec@1 50.000 (54.554) Prec@5 81.875 (85.167) Test: [110/229] Time 0.372 (0.684) Loss 1.4490 (1.7025) Prec@1 61.875 (54.741) Prec@5 85.000 (85.293) Test: [120/229] Time 0.823 (0.685) Loss 2.9938 (1.7244) Prec@1 23.750 (54.158) Prec@5 71.875 (85.026) Test: [130/229] Time 0.336 (0.678) Loss 1.1876 (1.7023) Prec@1 64.375 (54.695) Prec@5 91.875 (85.229) Test: [140/229] Time 0.621 (0.680) Loss 1.9860 (1.7163) Prec@1 48.750 (54.348) Prec@5 80.000 (85.106) Test: [150/229] Time 0.334 (0.676) Loss 1.2114 (1.7271) Prec@1 70.625 (54.085) Prec@5 89.375 (85.029) Test: [160/229] Time 0.422 (0.677) Loss 1.7147 (1.7315) Prec@1 58.125 (53.905) Prec@5 85.625 (84.926) Test: [170/229] Time 0.329 (0.674) Loss 1.8199 (1.7422) Prec@1 51.250 (53.542) Prec@5 85.625 (84.810) Test: [180/229] Time 0.295 (0.675) Loss 2.5239 (1.7521) Prec@1 34.375 (53.460) Prec@5 70.000 (84.582) Test: [190/229] Time 0.563 (0.673) Loss 1.4062 (1.7419) Prec@1 58.750 (53.806) Prec@5 93.750 (84.692) Test: [200/229] Time 0.456 (0.673) Loss 1.8295 (1.7339) Prec@1 49.375 (53.946) Prec@5 85.000 (84.894) Test: [210/229] Time 0.429 (0.671) Loss 1.1759 (1.7240) Prec@1 64.375 (54.221) Prec@5 93.750 (85.041) Test: [220/229] Time 0.407 (0.671) Loss 1.5776 (1.7139) Prec@1 53.125 (54.531) Prec@5 88.750 (85.116) * Prec@1 54.847 Prec@5 85.196 Epoch: [88][0/11272] Time 5.062 (5.062) Data 4.166 (4.166) Loss 1.9719 (1.9719) Prec@1 53.750 (53.750) Prec@5 80.000 (80.000) Epoch: [88][10/11272] Time 0.878 (1.192) Data 0.002 (0.380) Loss 1.7496 (1.6360) Prec@1 57.500 (56.364) Prec@5 78.750 (83.693) Epoch: [88][20/11272] Time 0.832 (1.003) Data 0.002 (0.200) Loss 1.7029 (1.6051) Prec@1 51.250 (56.607) Prec@5 85.000 (84.940) Epoch: [88][30/11272] Time 0.741 (0.935) Data 0.001 (0.136) Loss 1.3677 (1.5860) Prec@1 61.875 (57.036) Prec@5 88.750 (85.323) Epoch: [88][40/11272] Time 0.699 (0.895) Data 0.001 (0.103) Loss 1.8438 (1.5798) Prec@1 53.125 (57.043) Prec@5 78.125 (85.305) Epoch: [88][50/11272] Time 0.849 (0.878) Data 0.002 (0.083) Loss 1.7048 (1.5821) Prec@1 51.250 (57.047) Prec@5 81.250 (85.135) Epoch: [88][60/11272] Time 0.844 (0.862) Data 0.001 (0.070) Loss 1.8711 (1.5855) Prec@1 51.250 (57.029) Prec@5 82.500 (85.041) Epoch: [88][70/11272] Time 0.730 (0.855) Data 0.001 (0.060) Loss 1.5266 (1.5819) Prec@1 56.250 (57.192) Prec@5 88.750 (85.132) Epoch: [88][80/11272] Time 0.818 (0.846) Data 0.001 (0.053) Loss 1.5719 (1.5850) Prec@1 56.875 (56.998) Prec@5 86.250 (85.077) Epoch: [88][90/11272] Time 0.849 (0.839) Data 0.001 (0.047) Loss 1.5117 (1.5888) Prec@1 53.125 (56.834) Prec@5 85.625 (85.007) Epoch: [88][100/11272] Time 0.733 (0.832) Data 0.001 (0.043) Loss 1.7446 (1.5882) Prec@1 50.625 (56.788) Prec@5 81.250 (85.006) Epoch: [88][110/11272] Time 0.717 (0.829) Data 0.001 (0.039) Loss 1.4570 (1.5889) Prec@1 62.500 (57.072) Prec@5 85.000 (84.994) Epoch: [88][120/11272] Time 0.831 (0.827) Data 0.001 (0.036) Loss 1.6704 (1.5865) Prec@1 55.000 (57.123) Prec@5 86.875 (85.026) Epoch: [88][130/11272] Time 0.832 (0.824) Data 0.001 (0.033) Loss 1.4872 (1.5873) Prec@1 60.625 (57.099) Prec@5 88.125 (84.962) Epoch: [88][140/11272] Time 0.713 (0.822) Data 0.001 (0.031) Loss 1.5077 (1.5854) Prec@1 57.500 (57.190) Prec@5 85.625 (85.009) Epoch: [88][150/11272] Time 0.714 (0.819) Data 0.001 (0.029) Loss 1.4548 (1.5856) Prec@1 58.750 (57.136) Prec@5 91.250 (85.025) Epoch: [88][160/11272] Time 0.856 (0.818) Data 0.001 (0.027) Loss 1.5629 (1.5897) Prec@1 61.875 (57.104) Prec@5 84.375 (84.934) Epoch: [88][170/11272] Time 0.803 (0.815) Data 0.001 (0.026) Loss 1.5843 (1.5893) Prec@1 58.125 (57.138) Prec@5 83.750 (84.974) Epoch: [88][180/11272] Time 0.722 (0.813) Data 0.001 (0.025) Loss 1.5249 (1.5892) Prec@1 60.000 (57.131) Prec@5 86.875 (84.962) Epoch: [88][190/11272] Time 0.714 (0.812) Data 0.001 (0.023) Loss 1.6116 (1.5900) Prec@1 54.375 (57.120) Prec@5 85.625 (84.977) Epoch: [88][200/11272] Time 0.811 (0.810) Data 0.002 (0.022) Loss 1.5916 (1.5924) Prec@1 58.125 (57.037) Prec@5 83.125 (84.950) Epoch: [88][210/11272] Time 0.719 (0.809) Data 0.002 (0.021) Loss 1.6785 (1.5906) Prec@1 53.750 (57.076) Prec@5 83.750 (85.021) Epoch: [88][220/11272] Time 0.718 (0.809) Data 0.002 (0.020) Loss 1.5952 (1.5918) Prec@1 58.750 (57.087) Prec@5 85.625 (85.006) Epoch: [88][230/11272] Time 0.900 (0.808) Data 0.001 (0.020) Loss 1.7174 (1.5902) Prec@1 53.125 (57.100) Prec@5 84.375 (85.035) Epoch: [88][240/11272] Time 0.827 (0.807) Data 0.001 (0.019) Loss 1.6751 (1.5920) Prec@1 56.250 (57.072) Prec@5 85.000 (85.018) Epoch: [88][250/11272] Time 0.730 (0.806) Data 0.001 (0.018) Loss 1.5839 (1.5932) Prec@1 53.750 (57.007) Prec@5 86.875 (84.950) Epoch: [88][260/11272] Time 0.739 (0.806) Data 0.002 (0.018) Loss 1.5741 (1.5936) Prec@1 59.375 (57.023) Prec@5 83.750 (84.921) Epoch: [88][270/11272] Time 0.854 (0.805) Data 0.001 (0.017) Loss 1.5444 (1.5953) Prec@1 56.875 (56.974) Prec@5 85.625 (84.924) Epoch: [88][280/11272] Time 0.870 (0.804) Data 0.002 (0.016) Loss 1.6583 (1.5967) Prec@1 57.500 (56.891) Prec@5 82.500 (84.920) Epoch: [88][290/11272] Time 0.722 (0.803) Data 0.001 (0.016) Loss 1.5994 (1.5960) Prec@1 60.000 (56.922) Prec@5 84.375 (84.955) Epoch: [88][300/11272] Time 0.702 (0.802) Data 0.001 (0.015) Loss 1.4629 (1.5925) Prec@1 59.375 (56.977) Prec@5 88.125 (85.037) Epoch: [88][310/11272] Time 0.864 (0.802) Data 0.002 (0.015) Loss 1.3740 (1.5916) Prec@1 65.625 (57.010) Prec@5 90.000 (85.070) Epoch: [88][320/11272] Time 0.825 (0.802) Data 0.001 (0.015) Loss 1.6445 (1.5907) Prec@1 57.500 (57.013) Prec@5 85.625 (85.095) Epoch: [88][330/11272] Time 0.760 (0.801) Data 0.001 (0.014) Loss 1.7311 (1.5918) Prec@1 58.125 (57.022) Prec@5 83.125 (85.081) Epoch: [88][340/11272] Time 0.859 (0.801) Data 0.001 (0.014) Loss 1.8740 (1.5913) Prec@1 50.000 (57.029) Prec@5 80.000 (85.079) Epoch: [88][350/11272] Time 0.883 (0.801) Data 0.002 (0.013) Loss 1.3632 (1.5903) Prec@1 61.875 (57.062) Prec@5 86.875 (85.075) Epoch: [88][360/11272] Time 0.718 (0.800) Data 0.002 (0.013) Loss 1.5504 (1.5922) Prec@1 58.125 (57.038) Prec@5 85.625 (85.043) Epoch: [88][370/11272] Time 0.718 (0.800) Data 0.002 (0.013) Loss 1.8679 (1.5915) Prec@1 52.500 (57.059) Prec@5 82.500 (85.061) Epoch: [88][380/11272] Time 0.840 (0.799) Data 0.001 (0.012) Loss 1.3869 (1.5909) Prec@1 60.000 (57.065) Prec@5 88.125 (85.061) Epoch: [88][390/11272] Time 0.834 (0.799) Data 0.001 (0.012) Loss 1.3265 (1.5883) Prec@1 66.875 (57.132) Prec@5 86.875 (85.105) Epoch: [88][400/11272] Time 0.736 (0.798) Data 0.001 (0.012) Loss 1.4858 (1.5896) Prec@1 60.000 (57.085) Prec@5 84.375 (85.067) Epoch: [88][410/11272] Time 0.720 (0.798) Data 0.001 (0.012) Loss 1.6603 (1.5912) Prec@1 58.125 (57.064) Prec@5 81.250 (85.041) Epoch: [88][420/11272] Time 0.885 (0.798) Data 0.002 (0.011) Loss 1.7426 (1.5912) Prec@1 53.125 (57.052) Prec@5 82.500 (85.022) Epoch: [88][430/11272] Time 0.804 (0.798) Data 0.001 (0.011) Loss 1.5561 (1.5911) Prec@1 58.125 (57.029) Prec@5 83.750 (85.019) Epoch: [88][440/11272] Time 0.735 (0.798) Data 0.005 (0.011) Loss 1.6319 (1.5915) Prec@1 60.625 (57.011) Prec@5 85.625 (85.011) Epoch: [88][450/11272] Time 0.723 (0.797) Data 0.002 (0.011) Loss 1.7473 (1.5910) Prec@1 55.625 (57.040) Prec@5 81.250 (85.022) Epoch: [88][460/11272] Time 0.846 (0.797) Data 0.001 (0.011) Loss 1.6753 (1.5918) Prec@1 56.875 (57.004) Prec@5 83.125 (84.995) Epoch: [88][470/11272] Time 0.702 (0.796) Data 0.003 (0.010) Loss 1.6075 (1.5919) Prec@1 55.000 (56.989) Prec@5 84.375 (85.013) Epoch: [88][480/11272] Time 0.758 (0.796) Data 0.003 (0.010) Loss 1.4247 (1.5918) Prec@1 62.500 (56.972) Prec@5 87.500 (85.022) Epoch: [88][490/11272] Time 0.891 (0.796) Data 0.002 (0.010) Loss 1.7244 (1.5908) Prec@1 51.250 (56.998) Prec@5 81.250 (85.034) Epoch: [88][500/11272] Time 0.855 (0.796) Data 0.002 (0.010) Loss 1.6511 (1.5911) Prec@1 58.750 (56.972) Prec@5 81.875 (85.035) Epoch: [88][510/11272] Time 0.749 (0.796) Data 0.002 (0.010) Loss 1.5606 (1.5909) Prec@1 55.625 (56.991) Prec@5 89.375 (85.048) Epoch: [88][520/11272] Time 0.718 (0.796) Data 0.001 (0.010) Loss 1.6822 (1.5904) Prec@1 55.000 (57.003) Prec@5 80.625 (85.056) Epoch: [88][530/11272] Time 0.866 (0.796) Data 0.002 (0.009) Loss 1.4884 (1.5896) Prec@1 57.500 (57.022) Prec@5 84.375 (85.055) Epoch: [88][540/11272] Time 0.866 (0.795) Data 0.002 (0.009) Loss 1.3890 (1.5883) Prec@1 62.500 (57.052) Prec@5 87.500 (85.069) Epoch: [88][550/11272] Time 0.724 (0.795) Data 0.001 (0.009) Loss 1.4622 (1.5882) Prec@1 59.375 (57.061) Prec@5 86.875 (85.070) Epoch: [88][560/11272] Time 0.737 (0.795) Data 0.002 (0.009) Loss 1.5348 (1.5891) Prec@1 57.500 (57.042) Prec@5 85.625 (85.064) Epoch: [88][570/11272] Time 0.842 (0.795) Data 0.001 (0.009) Loss 1.7407 (1.5903) Prec@1 51.250 (57.009) Prec@5 83.750 (85.039) Epoch: [88][580/11272] Time 0.853 (0.795) Data 0.001 (0.009) Loss 1.6005 (1.5907) Prec@1 56.250 (56.992) Prec@5 81.875 (85.026) Epoch: [88][590/11272] Time 0.711 (0.795) Data 0.001 (0.009) Loss 1.7036 (1.5903) Prec@1 51.875 (57.004) Prec@5 83.750 (85.045) Epoch: [88][600/11272] Time 0.848 (0.795) Data 0.001 (0.008) Loss 1.6727 (1.5904) Prec@1 60.625 (57.042) Prec@5 80.000 (85.021) Epoch: [88][610/11272] Time 0.836 (0.794) Data 0.002 (0.008) Loss 1.5259 (1.5906) Prec@1 60.000 (57.056) Prec@5 83.125 (85.012) Epoch: [88][620/11272] Time 0.736 (0.794) Data 0.001 (0.008) Loss 1.5344 (1.5897) Prec@1 55.000 (57.062) Prec@5 85.000 (85.021) Epoch: [88][630/11272] Time 0.722 (0.794) Data 0.002 (0.008) Loss 1.4202 (1.5904) Prec@1 58.125 (57.051) Prec@5 90.625 (85.008) Epoch: [88][640/11272] Time 0.933 (0.794) Data 0.001 (0.008) Loss 1.8361 (1.5910) Prec@1 55.000 (57.051) Prec@5 80.000 (84.995) Epoch: [88][650/11272] Time 0.816 (0.794) Data 0.001 (0.008) Loss 1.7320 (1.5914) Prec@1 57.500 (57.030) Prec@5 84.375 (84.992) Epoch: [88][660/11272] Time 0.720 (0.794) Data 0.002 (0.008) Loss 1.6291 (1.5907) Prec@1 58.750 (57.041) Prec@5 83.125 (85.002) Epoch: [88][670/11272] Time 0.714 (0.794) Data 0.001 (0.008) Loss 1.6227 (1.5910) Prec@1 54.375 (57.042) Prec@5 83.750 (84.984) Epoch: [88][680/11272] Time 0.862 (0.794) Data 0.001 (0.008) Loss 1.6204 (1.5910) Prec@1 52.500 (57.030) Prec@5 88.750 (85.006) Epoch: [88][690/11272] Time 0.848 (0.794) Data 0.001 (0.008) Loss 1.5555 (1.5915) Prec@1 52.500 (57.006) Prec@5 85.625 (85.001) Epoch: [88][700/11272] Time 0.715 (0.794) Data 0.001 (0.007) Loss 1.5307 (1.5925) Prec@1 60.000 (56.982) Prec@5 86.875 (84.974) Epoch: [88][710/11272] Time 0.717 (0.794) Data 0.002 (0.007) Loss 1.7942 (1.5923) Prec@1 42.500 (56.954) Prec@5 81.875 (84.976) Epoch: [88][720/11272] Time 0.828 (0.794) Data 0.002 (0.007) Loss 1.5434 (1.5923) Prec@1 55.625 (56.925) Prec@5 85.000 (84.966) Epoch: [88][730/11272] Time 0.734 (0.794) Data 0.004 (0.007) Loss 1.6985 (1.5926) Prec@1 57.500 (56.929) Prec@5 85.000 (84.971) Epoch: [88][740/11272] Time 0.723 (0.794) Data 0.002 (0.007) Loss 1.4626 (1.5925) Prec@1 55.625 (56.908) Prec@5 88.750 (84.975) Epoch: [88][750/11272] Time 0.853 (0.794) Data 0.002 (0.007) Loss 1.4823 (1.5931) Prec@1 55.625 (56.871) Prec@5 88.750 (84.978) Epoch: [88][760/11272] Time 0.848 (0.794) Data 0.002 (0.007) Loss 1.5321 (1.5925) Prec@1 59.375 (56.888) Prec@5 86.250 (84.991) Epoch: [88][770/11272] Time 0.702 (0.793) Data 0.002 (0.007) Loss 1.5299 (1.5930) Prec@1 56.250 (56.879) Prec@5 88.125 (84.980) Epoch: [88][780/11272] Time 0.741 (0.793) Data 0.002 (0.007) Loss 1.5359 (1.5929) Prec@1 60.625 (56.878) Prec@5 85.625 (85.003) Epoch: [88][790/11272] Time 0.838 (0.793) Data 0.001 (0.007) Loss 1.5470 (1.5929) Prec@1 56.875 (56.880) Prec@5 85.000 (84.995) Epoch: [88][800/11272] Time 0.835 (0.793) Data 0.002 (0.007) Loss 1.2658 (1.5917) Prec@1 58.125 (56.909) Prec@5 91.875 (85.016) Epoch: [88][810/11272] Time 0.734 (0.793) Data 0.001 (0.007) Loss 1.7058 (1.5916) Prec@1 56.250 (56.927) Prec@5 81.875 (85.025) Epoch: [88][820/11272] Time 0.721 (0.793) Data 0.001 (0.007) Loss 1.5579 (1.5909) Prec@1 55.000 (56.940) Prec@5 85.000 (85.040) Epoch: [88][830/11272] Time 0.882 (0.793) Data 0.002 (0.007) Loss 1.6596 (1.5908) Prec@1 57.500 (56.950) Prec@5 81.250 (85.044) Epoch: [88][840/11272] Time 0.828 (0.793) Data 0.001 (0.006) Loss 1.5511 (1.5911) Prec@1 57.500 (56.952) Prec@5 86.875 (85.048) Epoch: [88][850/11272] Time 0.743 (0.793) Data 0.001 (0.006) Loss 1.7148 (1.5911) Prec@1 52.500 (56.937) Prec@5 85.000 (85.046) Epoch: [88][860/11272] Time 0.861 (0.793) Data 0.001 (0.006) Loss 1.4253 (1.5905) Prec@1 58.750 (56.962) Prec@5 88.750 (85.048) Epoch: [88][870/11272] Time 0.821 (0.793) Data 0.002 (0.006) Loss 1.6190 (1.5911) Prec@1 60.625 (56.952) Prec@5 85.000 (85.045) Epoch: [88][880/11272] Time 0.721 (0.793) Data 0.001 (0.006) Loss 1.6659 (1.5913) Prec@1 55.000 (56.969) Prec@5 85.000 (85.045) Epoch: [88][890/11272] Time 0.708 (0.793) Data 0.002 (0.006) Loss 1.4588 (1.5919) Prec@1 59.375 (56.953) Prec@5 87.500 (85.037) Epoch: [88][900/11272] Time 0.848 (0.793) Data 0.001 (0.006) Loss 1.7840 (1.5912) Prec@1 48.750 (56.983) Prec@5 86.250 (85.040) Epoch: [88][910/11272] Time 0.787 (0.792) Data 0.001 (0.006) Loss 1.7228 (1.5916) Prec@1 60.000 (56.983) Prec@5 84.375 (85.030) Epoch: [88][920/11272] Time 0.721 (0.792) Data 0.001 (0.006) Loss 1.3802 (1.5915) Prec@1 64.375 (56.995) Prec@5 91.875 (85.036) Epoch: [88][930/11272] Time 0.727 (0.792) Data 0.001 (0.006) Loss 1.5327 (1.5912) Prec@1 57.500 (57.001) Prec@5 85.000 (85.046) Epoch: [88][940/11272] Time 0.847 (0.792) Data 0.001 (0.006) Loss 1.8110 (1.5910) Prec@1 54.375 (57.028) Prec@5 80.625 (85.052) Epoch: [88][950/11272] Time 0.820 (0.792) Data 0.001 (0.006) Loss 1.3746 (1.5913) Prec@1 66.875 (57.020) Prec@5 89.375 (85.058) Epoch: [88][960/11272] Time 0.712 (0.792) Data 0.002 (0.006) Loss 1.6557 (1.5906) Prec@1 55.000 (57.039) Prec@5 88.125 (85.072) Epoch: [88][970/11272] Time 0.759 (0.792) Data 0.001 (0.006) Loss 1.3341 (1.5900) Prec@1 61.875 (57.054) Prec@5 90.625 (85.075) Epoch: [88][980/11272] Time 0.864 (0.792) Data 0.002 (0.006) Loss 1.5036 (1.5897) Prec@1 58.750 (57.052) Prec@5 88.125 (85.093) Epoch: [88][990/11272] Time 0.814 (0.792) Data 0.001 (0.006) Loss 1.7878 (1.5894) Prec@1 54.375 (57.062) Prec@5 81.875 (85.089) Epoch: [88][1000/11272] Time 0.712 (0.792) Data 0.001 (0.006) Loss 1.7478 (1.5898) Prec@1 52.500 (57.047) Prec@5 84.375 (85.086) Epoch: [88][1010/11272] Time 0.939 (0.792) Data 0.002 (0.006) Loss 1.4554 (1.5894) Prec@1 60.625 (57.055) Prec@5 88.125 (85.089) Epoch: [88][1020/11272] Time 0.869 (0.792) Data 0.001 (0.006) Loss 1.5911 (1.5899) Prec@1 59.375 (57.043) Prec@5 85.000 (85.088) Epoch: [88][1030/11272] Time 0.723 (0.791) Data 0.002 (0.006) Loss 1.6523 (1.5901) Prec@1 56.250 (57.022) Prec@5 84.375 (85.090) Epoch: [88][1040/11272] Time 0.734 (0.791) Data 0.002 (0.006) Loss 1.9698 (1.5908) Prec@1 43.125 (57.011) Prec@5 77.500 (85.076) Epoch: [88][1050/11272] Time 0.850 (0.791) Data 0.001 (0.006) Loss 1.5418 (1.5908) Prec@1 57.500 (57.021) Prec@5 84.375 (85.073) Epoch: [88][1060/11272] Time 0.912 (0.791) Data 0.001 (0.005) Loss 1.5967 (1.5905) Prec@1 56.250 (57.017) Prec@5 84.375 (85.077) Epoch: [88][1070/11272] Time 0.713 (0.792) Data 0.002 (0.005) Loss 1.8298 (1.5907) Prec@1 51.250 (57.011) Prec@5 81.250 (85.069) Epoch: [88][1080/11272] Time 0.722 (0.791) Data 0.001 (0.005) Loss 1.8530 (1.5907) Prec@1 50.625 (57.017) Prec@5 80.625 (85.066) Epoch: [88][1090/11272] Time 0.802 (0.792) Data 0.001 (0.005) Loss 1.8293 (1.5906) Prec@1 51.250 (57.026) Prec@5 81.875 (85.069) Epoch: [88][1100/11272] Time 0.845 (0.791) Data 0.001 (0.005) Loss 1.7644 (1.5907) Prec@1 50.000 (57.033) Prec@5 81.250 (85.072) Epoch: [88][1110/11272] Time 0.716 (0.791) Data 0.002 (0.005) Loss 1.5314 (1.5904) Prec@1 58.750 (57.038) Prec@5 89.375 (85.082) Epoch: [88][1120/11272] Time 0.696 (0.791) Data 0.001 (0.005) Loss 1.7667 (1.5909) Prec@1 50.625 (57.021) Prec@5 81.250 (85.074) Epoch: [88][1130/11272] Time 0.839 (0.791) Data 0.001 (0.005) Loss 1.6716 (1.5904) Prec@1 54.375 (57.032) Prec@5 85.000 (85.078) Epoch: [88][1140/11272] Time 0.727 (0.791) Data 0.001 (0.005) Loss 1.6136 (1.5903) Prec@1 53.125 (57.049) Prec@5 85.625 (85.084) Epoch: [88][1150/11272] Time 0.730 (0.791) Data 0.002 (0.005) Loss 1.5108 (1.5907) Prec@1 58.125 (57.037) Prec@5 85.625 (85.079) Epoch: [88][1160/11272] Time 0.857 (0.791) Data 0.001 (0.005) Loss 1.5778 (1.5904) Prec@1 58.125 (57.045) Prec@5 84.375 (85.085) Epoch: [88][1170/11272] Time 0.845 (0.791) Data 0.002 (0.005) Loss 1.6108 (1.5903) Prec@1 58.125 (57.069) Prec@5 82.500 (85.085) Epoch: [88][1180/11272] Time 0.741 (0.791) Data 0.001 (0.005) Loss 1.4476 (1.5896) Prec@1 61.250 (57.063) Prec@5 86.875 (85.102) Epoch: [88][1190/11272] Time 0.740 (0.791) Data 0.001 (0.005) Loss 1.7877 (1.5900) Prec@1 53.750 (57.056) Prec@5 81.875 (85.098) Epoch: [88][1200/11272] Time 0.832 (0.791) Data 0.002 (0.005) Loss 1.5846 (1.5901) Prec@1 55.625 (57.052) Prec@5 86.250 (85.105) Epoch: [88][1210/11272] Time 0.824 (0.791) Data 0.001 (0.005) Loss 1.6317 (1.5900) Prec@1 55.000 (57.057) Prec@5 86.875 (85.108) Epoch: [88][1220/11272] Time 0.721 (0.791) Data 0.001 (0.005) Loss 1.8171 (1.5900) Prec@1 52.500 (57.035) Prec@5 82.500 (85.113) Epoch: [88][1230/11272] Time 0.727 (0.791) Data 0.001 (0.005) Loss 1.6550 (1.5899) Prec@1 58.125 (57.050) Prec@5 83.750 (85.110) Epoch: [88][1240/11272] Time 0.845 (0.791) Data 0.002 (0.005) Loss 1.5637 (1.5894) Prec@1 61.250 (57.057) Prec@5 85.625 (85.118) Epoch: [88][1250/11272] Time 0.788 (0.791) Data 0.001 (0.005) Loss 1.5906 (1.5901) Prec@1 59.375 (57.050) Prec@5 84.375 (85.104) Epoch: [88][1260/11272] Time 0.713 (0.791) Data 0.002 (0.005) Loss 1.5693 (1.5902) Prec@1 55.000 (57.045) Prec@5 85.625 (85.107) Epoch: [88][1270/11272] Time 0.892 (0.791) Data 0.001 (0.005) Loss 1.7313 (1.5901) Prec@1 46.875 (57.022) Prec@5 83.750 (85.108) Epoch: [88][1280/11272] Time 0.838 (0.791) Data 0.001 (0.005) Loss 1.5287 (1.5901) Prec@1 55.000 (57.009) Prec@5 86.875 (85.111) Epoch: [88][1290/11272] Time 0.777 (0.791) Data 0.002 (0.005) Loss 1.3405 (1.5903) Prec@1 68.125 (57.009) Prec@5 88.750 (85.112) Epoch: [88][1300/11272] Time 0.718 (0.791) Data 0.001 (0.005) Loss 1.6071 (1.5907) Prec@1 60.625 (56.998) Prec@5 83.125 (85.101) Epoch: [88][1310/11272] Time 0.881 (0.791) Data 0.002 (0.005) Loss 1.7204 (1.5908) Prec@1 51.250 (56.994) Prec@5 85.000 (85.102) Epoch: [88][1320/11272] Time 0.802 (0.791) Data 0.001 (0.005) Loss 1.5905 (1.5907) Prec@1 57.500 (56.998) Prec@5 85.625 (85.101) Epoch: [88][1330/11272] Time 0.731 (0.791) Data 0.001 (0.005) Loss 1.6645 (1.5909) Prec@1 56.250 (56.998) Prec@5 81.875 (85.098) Epoch: [88][1340/11272] Time 0.737 (0.791) Data 0.001 (0.005) Loss 1.4908 (1.5904) Prec@1 60.625 (57.013) Prec@5 86.250 (85.103) Epoch: [88][1350/11272] Time 0.840 (0.791) Data 0.001 (0.005) Loss 1.5153 (1.5902) Prec@1 60.625 (57.017) Prec@5 86.875 (85.111) Epoch: [88][1360/11272] Time 0.855 (0.791) Data 0.002 (0.005) Loss 1.5653 (1.5901) Prec@1 56.250 (57.014) Prec@5 88.125 (85.116) Epoch: [88][1370/11272] Time 0.710 (0.791) Data 0.001 (0.005) Loss 1.7788 (1.5899) Prec@1 47.500 (57.015) Prec@5 84.375 (85.124) Epoch: [88][1380/11272] Time 0.716 (0.791) Data 0.001 (0.005) Loss 1.4280 (1.5901) Prec@1 59.375 (56.999) Prec@5 89.375 (85.121) Epoch: [88][1390/11272] Time 0.864 (0.791) Data 0.002 (0.005) Loss 1.5543 (1.5899) Prec@1 56.875 (56.994) Prec@5 83.750 (85.123) Epoch: [88][1400/11272] Time 0.711 (0.791) Data 0.003 (0.005) Loss 1.5866 (1.5901) Prec@1 56.250 (56.984) Prec@5 85.000 (85.120) Epoch: [88][1410/11272] Time 0.707 (0.791) Data 0.001 (0.004) Loss 1.4873 (1.5905) Prec@1 56.250 (56.973) Prec@5 85.000 (85.110) Epoch: [88][1420/11272] Time 0.874 (0.791) Data 0.001 (0.004) Loss 1.7382 (1.5904) Prec@1 60.000 (56.981) Prec@5 78.750 (85.108) Epoch: [88][1430/11272] Time 0.862 (0.791) Data 0.002 (0.004) Loss 1.4876 (1.5904) Prec@1 57.500 (56.983) Prec@5 86.875 (85.107) Epoch: [88][1440/11272] Time 0.723 (0.791) Data 0.001 (0.004) Loss 1.6987 (1.5908) Prec@1 50.625 (56.967) Prec@5 88.750 (85.106) Epoch: [88][1450/11272] Time 0.717 (0.791) Data 0.001 (0.004) Loss 1.6164 (1.5909) Prec@1 60.000 (56.968) Prec@5 83.125 (85.100) Epoch: [88][1460/11272] Time 0.847 (0.791) Data 0.001 (0.004) Loss 1.6243 (1.5910) Prec@1 58.125 (56.973) Prec@5 84.375 (85.092) Epoch: [88][1470/11272] Time 0.847 (0.791) Data 0.002 (0.004) Loss 1.6009 (1.5911) Prec@1 53.125 (56.968) Prec@5 85.625 (85.090) Epoch: [88][1480/11272] Time 0.718 (0.791) Data 0.002 (0.004) Loss 1.4909 (1.5911) Prec@1 56.875 (56.961) Prec@5 89.375 (85.092) Epoch: [88][1490/11272] Time 0.733 (0.791) Data 0.001 (0.004) Loss 1.4481 (1.5913) Prec@1 58.750 (56.956) Prec@5 90.625 (85.090) Epoch: [88][1500/11272] Time 0.841 (0.791) Data 0.001 (0.004) Loss 1.6526 (1.5916) Prec@1 55.625 (56.947) Prec@5 83.125 (85.091) Epoch: [88][1510/11272] Time 0.827 (0.791) Data 0.001 (0.004) Loss 1.7266 (1.5913) Prec@1 50.000 (56.952) Prec@5 81.250 (85.094) Epoch: [88][1520/11272] Time 0.743 (0.790) Data 0.002 (0.004) Loss 1.5059 (1.5915) Prec@1 61.875 (56.955) Prec@5 87.500 (85.086) Epoch: [88][1530/11272] Time 0.870 (0.790) Data 0.001 (0.004) Loss 1.3980 (1.5912) Prec@1 62.500 (56.960) Prec@5 89.375 (85.087) Epoch: [88][1540/11272] Time 0.832 (0.790) Data 0.001 (0.004) Loss 1.3631 (1.5909) Prec@1 61.875 (56.967) Prec@5 88.750 (85.099) Epoch: [88][1550/11272] Time 0.719 (0.790) Data 0.001 (0.004) Loss 1.6925 (1.5910) Prec@1 50.000 (56.960) Prec@5 84.375 (85.097) Epoch: [88][1560/11272] Time 0.714 (0.790) Data 0.002 (0.004) Loss 1.6853 (1.5912) Prec@1 55.625 (56.958) Prec@5 84.375 (85.097) Epoch: [88][1570/11272] Time 0.845 (0.790) Data 0.001 (0.004) Loss 1.2440 (1.5908) Prec@1 65.625 (56.966) Prec@5 91.250 (85.103) Epoch: [88][1580/11272] Time 0.824 (0.790) Data 0.001 (0.004) Loss 1.5276 (1.5908) Prec@1 54.375 (56.968) Prec@5 87.500 (85.110) Epoch: [88][1590/11272] Time 0.737 (0.790) Data 0.002 (0.004) Loss 1.5805 (1.5906) Prec@1 59.375 (56.976) Prec@5 83.750 (85.109) Epoch: [88][1600/11272] Time 0.724 (0.790) Data 0.001 (0.004) Loss 1.4519 (1.5906) Prec@1 57.500 (56.974) Prec@5 90.000 (85.108) Epoch: [88][1610/11272] Time 0.812 (0.790) Data 0.001 (0.004) Loss 1.7427 (1.5902) Prec@1 55.625 (56.983) Prec@5 84.375 (85.116) Epoch: [88][1620/11272] Time 0.849 (0.790) Data 0.001 (0.004) Loss 1.8620 (1.5898) Prec@1 51.875 (56.986) Prec@5 78.750 (85.125) Epoch: [88][1630/11272] Time 0.739 (0.790) Data 0.001 (0.004) Loss 1.3392 (1.5900) Prec@1 61.875 (56.982) Prec@5 91.250 (85.123) Epoch: [88][1640/11272] Time 0.731 (0.790) Data 0.002 (0.004) Loss 1.7617 (1.5904) Prec@1 54.375 (56.977) Prec@5 80.625 (85.108) Epoch: [88][1650/11272] Time 0.854 (0.790) Data 0.001 (0.004) Loss 1.6775 (1.5906) Prec@1 51.875 (56.965) Prec@5 85.000 (85.108) Epoch: [88][1660/11272] Time 0.725 (0.790) Data 0.004 (0.004) Loss 1.3769 (1.5907) Prec@1 60.625 (56.962) Prec@5 87.500 (85.102) Epoch: [88][1670/11272] Time 0.741 (0.790) Data 0.002 (0.004) Loss 1.8375 (1.5906) Prec@1 52.500 (56.970) Prec@5 79.375 (85.103) Epoch: [88][1680/11272] Time 0.863 (0.790) Data 0.001 (0.004) Loss 1.5991 (1.5910) Prec@1 56.875 (56.966) Prec@5 85.625 (85.100) Epoch: [88][1690/11272] Time 0.843 (0.790) Data 0.001 (0.004) Loss 1.4670 (1.5914) Prec@1 57.500 (56.956) Prec@5 88.125 (85.092) Epoch: [88][1700/11272] Time 0.728 (0.790) Data 0.001 (0.004) Loss 1.5943 (1.5909) Prec@1 54.375 (56.965) Prec@5 86.250 (85.093) Epoch: [88][1710/11272] Time 0.765 (0.790) Data 0.001 (0.004) Loss 1.5377 (1.5907) Prec@1 60.000 (56.971) Prec@5 88.750 (85.096) Epoch: [88][1720/11272] Time 0.869 (0.790) Data 0.001 (0.004) Loss 1.6472 (1.5906) Prec@1 59.375 (56.980) Prec@5 81.875 (85.092) Epoch: [88][1730/11272] Time 0.886 (0.790) Data 0.002 (0.004) Loss 1.4176 (1.5906) Prec@1 61.250 (56.969) Prec@5 87.500 (85.091) Epoch: [88][1740/11272] Time 0.770 (0.790) Data 0.002 (0.004) Loss 1.5462 (1.5910) Prec@1 55.625 (56.960) Prec@5 88.750 (85.081) Epoch: [88][1750/11272] Time 0.710 (0.790) Data 0.002 (0.004) Loss 1.6566 (1.5910) Prec@1 59.375 (56.955) Prec@5 86.250 (85.079) Epoch: [88][1760/11272] Time 0.869 (0.790) Data 0.002 (0.004) Loss 1.6431 (1.5912) Prec@1 55.625 (56.948) Prec@5 81.875 (85.074) Epoch: [88][1770/11272] Time 0.857 (0.790) Data 0.002 (0.004) Loss 1.7124 (1.5914) Prec@1 56.250 (56.948) Prec@5 85.000 (85.070) Epoch: [88][1780/11272] Time 0.711 (0.790) Data 0.001 (0.004) Loss 1.6671 (1.5914) Prec@1 55.625 (56.945) Prec@5 83.125 (85.072) Epoch: [88][1790/11272] Time 0.815 (0.790) Data 0.002 (0.004) Loss 1.3791 (1.5917) Prec@1 61.875 (56.943) Prec@5 88.125 (85.064) Epoch: [88][1800/11272] Time 0.901 (0.790) Data 0.001 (0.004) Loss 1.6538 (1.5918) Prec@1 56.875 (56.943) Prec@5 80.625 (85.060) Epoch: [88][1810/11272] Time 0.730 (0.790) Data 0.002 (0.004) Loss 1.7328 (1.5918) Prec@1 53.125 (56.943) Prec@5 81.875 (85.062) Epoch: [88][1820/11272] Time 0.735 (0.790) Data 0.002 (0.004) Loss 1.6723 (1.5917) Prec@1 56.250 (56.947) Prec@5 86.250 (85.063) Epoch: [88][1830/11272] Time 0.864 (0.790) Data 0.002 (0.004) Loss 1.7848 (1.5916) Prec@1 51.875 (56.946) Prec@5 80.625 (85.064) Epoch: [88][1840/11272] Time 0.830 (0.790) Data 0.001 (0.004) Loss 1.4559 (1.5915) Prec@1 58.125 (56.956) Prec@5 86.875 (85.065) Epoch: [88][1850/11272] Time 0.714 (0.790) Data 0.002 (0.004) Loss 1.7230 (1.5914) Prec@1 53.125 (56.965) Prec@5 85.000 (85.063) Epoch: [88][1860/11272] Time 0.717 (0.790) Data 0.001 (0.004) Loss 1.4279 (1.5908) Prec@1 60.000 (56.981) Prec@5 86.875 (85.074) Epoch: [88][1870/11272] Time 0.819 (0.790) Data 0.001 (0.004) Loss 1.6046 (1.5906) Prec@1 60.625 (56.982) Prec@5 84.375 (85.079) Epoch: [88][1880/11272] Time 0.862 (0.790) Data 0.002 (0.004) Loss 1.5653 (1.5905) Prec@1 56.875 (56.992) Prec@5 87.500 (85.076) Epoch: [88][1890/11272] Time 0.720 (0.790) Data 0.002 (0.004) Loss 1.4015 (1.5903) Prec@1 60.625 (56.996) Prec@5 90.000 (85.083) Epoch: [88][1900/11272] Time 0.698 (0.790) Data 0.001 (0.004) Loss 1.3791 (1.5899) Prec@1 59.375 (57.000) Prec@5 87.500 (85.093) Epoch: [88][1910/11272] Time 0.869 (0.790) Data 0.002 (0.004) Loss 1.5106 (1.5901) Prec@1 55.000 (56.998) Prec@5 85.000 (85.082) Epoch: [88][1920/11272] Time 0.791 (0.790) Data 0.001 (0.004) Loss 1.6498 (1.5901) Prec@1 56.875 (56.991) Prec@5 80.625 (85.082) Epoch: [88][1930/11272] Time 0.752 (0.790) Data 0.002 (0.004) Loss 1.5912 (1.5903) Prec@1 56.250 (56.981) Prec@5 81.875 (85.078) Epoch: [88][1940/11272] Time 0.837 (0.790) Data 0.002 (0.004) Loss 1.7231 (1.5901) Prec@1 56.250 (56.993) Prec@5 81.250 (85.079) Epoch: [88][1950/11272] Time 0.889 (0.790) Data 0.001 (0.004) Loss 1.5805 (1.5901) Prec@1 61.250 (56.995) Prec@5 84.375 (85.082) Epoch: [88][1960/11272] Time 0.715 (0.790) Data 0.001 (0.004) Loss 1.8920 (1.5901) Prec@1 50.000 (56.994) Prec@5 77.500 (85.078) Epoch: [88][1970/11272] Time 0.699 (0.790) Data 0.001 (0.004) Loss 1.5571 (1.5902) Prec@1 54.375 (56.983) Prec@5 84.375 (85.078) Epoch: [88][1980/11272] Time 0.846 (0.790) Data 0.001 (0.004) Loss 1.4031 (1.5902) Prec@1 61.250 (56.982) Prec@5 88.125 (85.080) Epoch: [88][1990/11272] Time 0.849 (0.790) Data 0.002 (0.004) Loss 1.5874 (1.5899) Prec@1 53.125 (56.991) Prec@5 86.875 (85.084) Epoch: [88][2000/11272] Time 0.749 (0.790) Data 0.002 (0.004) Loss 1.7788 (1.5902) Prec@1 52.500 (56.983) Prec@5 82.500 (85.081) Epoch: [88][2010/11272] Time 0.721 (0.790) Data 0.001 (0.004) Loss 1.8365 (1.5907) Prec@1 53.750 (56.969) Prec@5 78.750 (85.073) Epoch: [88][2020/11272] Time 0.861 (0.790) Data 0.001 (0.004) Loss 1.5500 (1.5910) Prec@1 54.375 (56.965) Prec@5 85.000 (85.062) Epoch: [88][2030/11272] Time 0.838 (0.790) Data 0.001 (0.004) Loss 1.5016 (1.5912) Prec@1 56.875 (56.961) Prec@5 86.875 (85.063) Epoch: [88][2040/11272] Time 0.695 (0.790) Data 0.001 (0.004) Loss 1.6715 (1.5907) Prec@1 55.000 (56.967) Prec@5 83.750 (85.072) Epoch: [88][2050/11272] Time 0.736 (0.790) Data 0.001 (0.004) Loss 1.5713 (1.5908) Prec@1 54.375 (56.966) Prec@5 90.000 (85.069) Epoch: [88][2060/11272] Time 0.857 (0.790) Data 0.002 (0.004) Loss 1.4197 (1.5910) Prec@1 55.625 (56.962) Prec@5 90.000 (85.064) Epoch: [88][2070/11272] Time 0.714 (0.790) Data 0.001 (0.004) Loss 1.6099 (1.5909) Prec@1 56.250 (56.963) Prec@5 84.375 (85.071) Epoch: [88][2080/11272] Time 0.725 (0.790) Data 0.002 (0.004) Loss 1.6317 (1.5911) Prec@1 53.750 (56.961) Prec@5 82.500 (85.068) Epoch: [88][2090/11272] Time 0.895 (0.790) Data 0.001 (0.004) Loss 1.5076 (1.5909) Prec@1 57.500 (56.970) Prec@5 87.500 (85.074) Epoch: [88][2100/11272] Time 0.849 (0.790) Data 0.002 (0.004) Loss 1.4124 (1.5907) Prec@1 58.125 (56.974) Prec@5 89.375 (85.077) Epoch: [88][2110/11272] Time 0.739 (0.790) Data 0.001 (0.004) Loss 1.7829 (1.5912) Prec@1 47.500 (56.965) Prec@5 81.875 (85.069) Epoch: [88][2120/11272] Time 0.725 (0.790) Data 0.002 (0.004) Loss 1.4255 (1.5911) Prec@1 60.625 (56.979) Prec@5 88.750 (85.068) Epoch: [88][2130/11272] Time 0.880 (0.790) Data 0.002 (0.003) Loss 1.8200 (1.5909) Prec@1 51.875 (56.985) Prec@5 82.500 (85.069) Epoch: [88][2140/11272] Time 0.844 (0.790) Data 0.001 (0.003) Loss 1.4329 (1.5910) Prec@1 60.625 (56.984) Prec@5 88.125 (85.071) Epoch: [88][2150/11272] Time 0.731 (0.790) Data 0.003 (0.003) Loss 1.6957 (1.5913) Prec@1 58.750 (56.979) Prec@5 81.875 (85.069) Epoch: [88][2160/11272] Time 0.712 (0.790) Data 0.002 (0.003) Loss 1.4429 (1.5912) Prec@1 61.250 (56.978) Prec@5 88.125 (85.075) Epoch: [88][2170/11272] Time 0.842 (0.790) Data 0.001 (0.003) Loss 1.6468 (1.5911) Prec@1 56.250 (56.983) Prec@5 83.750 (85.079) Epoch: [88][2180/11272] Time 0.799 (0.790) Data 0.002 (0.003) Loss 1.7358 (1.5915) Prec@1 54.375 (56.977) Prec@5 81.875 (85.072) Epoch: [88][2190/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.6447 (1.5918) Prec@1 54.375 (56.969) Prec@5 86.875 (85.071) Epoch: [88][2200/11272] Time 0.869 (0.790) Data 0.002 (0.003) Loss 1.5447 (1.5919) Prec@1 58.750 (56.965) Prec@5 86.250 (85.062) Epoch: [88][2210/11272] Time 0.869 (0.790) Data 0.002 (0.003) Loss 1.4651 (1.5919) Prec@1 63.125 (56.975) Prec@5 86.250 (85.060) Epoch: [88][2220/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.5847 (1.5919) Prec@1 58.125 (56.972) Prec@5 83.125 (85.064) Epoch: [88][2230/11272] Time 0.747 (0.790) Data 0.002 (0.003) Loss 1.5088 (1.5917) Prec@1 58.125 (56.975) Prec@5 86.250 (85.070) Epoch: [88][2240/11272] Time 0.821 (0.790) Data 0.001 (0.003) Loss 1.5179 (1.5918) Prec@1 59.375 (56.976) Prec@5 81.875 (85.066) Epoch: [88][2250/11272] Time 0.820 (0.790) Data 0.001 (0.003) Loss 1.2095 (1.5917) Prec@1 65.000 (56.974) Prec@5 91.250 (85.068) Epoch: [88][2260/11272] Time 0.779 (0.790) Data 0.002 (0.003) Loss 1.5603 (1.5918) Prec@1 55.625 (56.968) Prec@5 85.625 (85.068) Epoch: [88][2270/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 1.4330 (1.5917) Prec@1 65.000 (56.971) Prec@5 84.375 (85.065) Epoch: [88][2280/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.3976 (1.5915) Prec@1 63.750 (56.979) Prec@5 89.375 (85.073) Epoch: [88][2290/11272] Time 0.856 (0.790) Data 0.001 (0.003) Loss 1.6071 (1.5913) Prec@1 60.000 (56.984) Prec@5 85.625 (85.076) Epoch: [88][2300/11272] Time 0.722 (0.790) Data 0.001 (0.003) Loss 1.3784 (1.5914) Prec@1 59.375 (56.979) Prec@5 88.750 (85.077) Epoch: [88][2310/11272] Time 0.728 (0.790) Data 0.001 (0.003) Loss 1.5085 (1.5915) Prec@1 62.500 (56.982) Prec@5 83.750 (85.073) Epoch: [88][2320/11272] Time 0.928 (0.790) Data 0.001 (0.003) Loss 1.3999 (1.5912) Prec@1 63.750 (56.995) Prec@5 91.875 (85.079) Epoch: [88][2330/11272] Time 0.707 (0.790) Data 0.003 (0.003) Loss 1.7180 (1.5913) Prec@1 48.125 (56.994) Prec@5 82.500 (85.083) Epoch: [88][2340/11272] Time 0.753 (0.790) Data 0.003 (0.003) Loss 1.8521 (1.5913) Prec@1 55.625 (56.994) Prec@5 81.250 (85.080) Epoch: [88][2350/11272] Time 0.888 (0.790) Data 0.001 (0.003) Loss 1.6634 (1.5914) Prec@1 56.250 (57.004) Prec@5 88.125 (85.077) Epoch: [88][2360/11272] Time 0.848 (0.790) Data 0.002 (0.003) Loss 1.5367 (1.5912) Prec@1 57.500 (57.004) Prec@5 83.750 (85.079) Epoch: [88][2370/11272] Time 0.724 (0.790) Data 0.002 (0.003) Loss 1.5971 (1.5911) Prec@1 58.750 (57.012) Prec@5 83.750 (85.079) Epoch: [88][2380/11272] Time 0.704 (0.790) Data 0.001 (0.003) Loss 1.7476 (1.5911) Prec@1 57.500 (57.006) Prec@5 82.500 (85.079) Epoch: [88][2390/11272] Time 0.885 (0.790) Data 0.002 (0.003) Loss 1.7669 (1.5913) Prec@1 50.625 (57.005) Prec@5 82.500 (85.076) Epoch: [88][2400/11272] Time 0.868 (0.790) Data 0.002 (0.003) Loss 1.5336 (1.5911) Prec@1 58.750 (57.009) Prec@5 86.875 (85.081) Epoch: [88][2410/11272] Time 0.718 (0.790) Data 0.001 (0.003) Loss 1.7023 (1.5912) Prec@1 50.625 (57.002) Prec@5 84.375 (85.081) Epoch: [88][2420/11272] Time 0.705 (0.790) Data 0.002 (0.003) Loss 1.4327 (1.5911) Prec@1 55.000 (57.004) Prec@5 90.000 (85.084) Epoch: [88][2430/11272] Time 0.877 (0.790) Data 0.002 (0.003) Loss 1.5025 (1.5910) Prec@1 58.125 (57.004) Prec@5 88.125 (85.088) Epoch: [88][2440/11272] Time 0.847 (0.790) Data 0.001 (0.003) Loss 1.6316 (1.5910) Prec@1 57.500 (57.005) Prec@5 87.500 (85.087) Epoch: [88][2450/11272] Time 0.732 (0.790) Data 0.002 (0.003) Loss 1.5027 (1.5910) Prec@1 55.625 (57.004) Prec@5 89.375 (85.089) Epoch: [88][2460/11272] Time 0.799 (0.790) Data 0.001 (0.003) Loss 1.7264 (1.5908) Prec@1 57.500 (57.006) Prec@5 84.375 (85.098) Epoch: [88][2470/11272] Time 0.836 (0.790) Data 0.002 (0.003) Loss 1.6777 (1.5907) Prec@1 54.375 (57.009) Prec@5 85.000 (85.101) Epoch: [88][2480/11272] Time 0.724 (0.790) Data 0.002 (0.003) Loss 1.5784 (1.5907) Prec@1 58.125 (57.011) Prec@5 85.625 (85.102) Epoch: [88][2490/11272] Time 0.729 (0.790) Data 0.001 (0.003) Loss 1.5146 (1.5907) Prec@1 60.000 (57.010) Prec@5 81.875 (85.102) Epoch: [88][2500/11272] Time 0.849 (0.790) Data 0.002 (0.003) Loss 1.4820 (1.5906) Prec@1 65.000 (57.014) Prec@5 88.125 (85.106) Epoch: [88][2510/11272] Time 0.817 (0.790) Data 0.001 (0.003) Loss 1.4623 (1.5905) Prec@1 60.625 (57.017) Prec@5 85.625 (85.108) Epoch: [88][2520/11272] Time 0.716 (0.790) Data 0.002 (0.003) Loss 1.7033 (1.5905) Prec@1 56.875 (57.019) Prec@5 81.250 (85.105) Epoch: [88][2530/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.5657 (1.5906) Prec@1 56.875 (57.018) Prec@5 82.500 (85.097) Epoch: [88][2540/11272] Time 0.855 (0.790) Data 0.001 (0.003) Loss 1.6070 (1.5907) Prec@1 56.250 (57.019) Prec@5 82.500 (85.094) Epoch: [88][2550/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.5132 (1.5903) Prec@1 59.375 (57.024) Prec@5 87.500 (85.099) Epoch: [88][2560/11272] Time 0.768 (0.790) Data 0.002 (0.003) Loss 1.4974 (1.5902) Prec@1 58.750 (57.027) Prec@5 87.500 (85.101) Epoch: [88][2570/11272] Time 0.732 (0.790) Data 0.002 (0.003) Loss 1.8510 (1.5904) Prec@1 54.375 (57.023) Prec@5 80.000 (85.100) Epoch: [88][2580/11272] Time 0.833 (0.791) Data 0.002 (0.003) Loss 1.5063 (1.5903) Prec@1 60.000 (57.022) Prec@5 88.125 (85.104) Epoch: [88][2590/11272] Time 0.718 (0.790) Data 0.003 (0.003) Loss 1.5708 (1.5902) Prec@1 60.000 (57.025) Prec@5 81.875 (85.101) Epoch: [88][2600/11272] Time 0.719 (0.790) Data 0.002 (0.003) Loss 1.5841 (1.5905) Prec@1 60.000 (57.025) Prec@5 82.500 (85.094) Epoch: [88][2610/11272] Time 0.858 (0.790) Data 0.002 (0.003) Loss 1.6265 (1.5906) Prec@1 56.250 (57.026) Prec@5 86.250 (85.098) Epoch: [88][2620/11272] Time 0.824 (0.790) Data 0.001 (0.003) Loss 1.5226 (1.5906) Prec@1 59.375 (57.025) Prec@5 86.250 (85.098) Epoch: [88][2630/11272] Time 0.706 (0.790) Data 0.001 (0.003) Loss 1.6479 (1.5907) Prec@1 57.500 (57.024) Prec@5 81.250 (85.091) Epoch: [88][2640/11272] Time 0.732 (0.790) Data 0.001 (0.003) Loss 1.5827 (1.5905) Prec@1 57.500 (57.031) Prec@5 84.375 (85.095) Epoch: [88][2650/11272] Time 0.877 (0.791) Data 0.002 (0.003) Loss 1.5847 (1.5904) Prec@1 56.875 (57.034) Prec@5 85.625 (85.093) Epoch: [88][2660/11272] Time 0.809 (0.791) Data 0.001 (0.003) Loss 1.6532 (1.5904) Prec@1 55.000 (57.034) Prec@5 83.750 (85.093) Epoch: [88][2670/11272] Time 0.713 (0.791) Data 0.001 (0.003) Loss 1.6036 (1.5905) Prec@1 57.500 (57.030) Prec@5 88.125 (85.095) Epoch: [88][2680/11272] Time 0.755 (0.791) Data 0.003 (0.003) Loss 1.5313 (1.5905) Prec@1 57.500 (57.033) Prec@5 83.750 (85.093) Epoch: [88][2690/11272] Time 0.834 (0.791) Data 0.001 (0.003) Loss 1.5559 (1.5906) Prec@1 58.125 (57.030) Prec@5 88.750 (85.093) Epoch: [88][2700/11272] Time 0.801 (0.791) Data 0.001 (0.003) Loss 1.4591 (1.5907) Prec@1 61.250 (57.025) Prec@5 86.875 (85.091) Epoch: [88][2710/11272] Time 0.719 (0.790) Data 0.002 (0.003) Loss 1.5293 (1.5905) Prec@1 58.750 (57.028) Prec@5 86.250 (85.096) Epoch: [88][2720/11272] Time 0.829 (0.791) Data 0.001 (0.003) Loss 1.7141 (1.5905) Prec@1 57.500 (57.035) Prec@5 85.000 (85.095) Epoch: [88][2730/11272] Time 0.872 (0.791) Data 0.001 (0.003) Loss 1.8278 (1.5906) Prec@1 56.250 (57.034) Prec@5 77.500 (85.087) Epoch: [88][2740/11272] Time 0.758 (0.790) Data 0.001 (0.003) Loss 1.6250 (1.5908) Prec@1 55.000 (57.034) Prec@5 80.000 (85.086) Epoch: [88][2750/11272] Time 0.757 (0.790) Data 0.002 (0.003) Loss 1.4575 (1.5907) Prec@1 63.125 (57.034) Prec@5 88.750 (85.087) Epoch: [88][2760/11272] Time 0.859 (0.791) Data 0.001 (0.003) Loss 1.7169 (1.5906) Prec@1 54.375 (57.038) Prec@5 84.375 (85.085) Epoch: [88][2770/11272] Time 0.843 (0.791) Data 0.002 (0.003) Loss 1.6294 (1.5908) Prec@1 54.375 (57.034) Prec@5 88.750 (85.089) Epoch: [88][2780/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.4390 (1.5908) Prec@1 61.875 (57.033) Prec@5 86.250 (85.089) Epoch: [88][2790/11272] Time 0.720 (0.790) Data 0.001 (0.003) Loss 1.6338 (1.5907) Prec@1 54.375 (57.034) Prec@5 83.125 (85.088) Epoch: [88][2800/11272] Time 0.831 (0.790) Data 0.002 (0.003) Loss 1.5436 (1.5906) Prec@1 61.875 (57.041) Prec@5 84.375 (85.090) Epoch: [88][2810/11272] Time 0.827 (0.790) Data 0.002 (0.003) Loss 1.3871 (1.5904) Prec@1 61.875 (57.046) Prec@5 91.250 (85.094) Epoch: [88][2820/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.3977 (1.5903) Prec@1 61.250 (57.048) Prec@5 87.500 (85.096) Epoch: [88][2830/11272] Time 0.726 (0.790) Data 0.002 (0.003) Loss 1.5621 (1.5904) Prec@1 56.250 (57.045) Prec@5 85.000 (85.098) Epoch: [88][2840/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.6614 (1.5907) Prec@1 62.500 (57.033) Prec@5 87.500 (85.095) Epoch: [88][2850/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.6215 (1.5908) Prec@1 51.250 (57.030) Prec@5 88.750 (85.094) Epoch: [88][2860/11272] Time 0.716 (0.790) Data 0.002 (0.003) Loss 1.5174 (1.5909) Prec@1 57.500 (57.031) Prec@5 86.250 (85.094) Epoch: [88][2870/11272] Time 0.865 (0.790) Data 0.001 (0.003) Loss 1.5621 (1.5907) Prec@1 56.875 (57.034) Prec@5 86.875 (85.098) Epoch: [88][2880/11272] Time 0.981 (0.790) Data 0.002 (0.003) Loss 1.4201 (1.5906) Prec@1 63.125 (57.037) Prec@5 86.875 (85.101) Epoch: [88][2890/11272] Time 0.709 (0.790) Data 0.001 (0.003) Loss 1.4772 (1.5906) Prec@1 56.875 (57.030) Prec@5 90.625 (85.104) Epoch: [88][2900/11272] Time 0.722 (0.790) Data 0.001 (0.003) Loss 1.4590 (1.5905) Prec@1 61.875 (57.032) Prec@5 88.125 (85.104) Epoch: [88][2910/11272] Time 0.825 (0.790) Data 0.001 (0.003) Loss 1.4917 (1.5905) Prec@1 58.125 (57.035) Prec@5 84.375 (85.101) Epoch: [88][2920/11272] Time 0.834 (0.790) Data 0.001 (0.003) Loss 1.6292 (1.5904) Prec@1 57.500 (57.040) Prec@5 85.625 (85.105) Epoch: [88][2930/11272] Time 0.769 (0.790) Data 0.002 (0.003) Loss 1.6173 (1.5907) Prec@1 56.875 (57.033) Prec@5 85.625 (85.099) Epoch: [88][2940/11272] Time 0.724 (0.790) Data 0.002 (0.003) Loss 1.4377 (1.5908) Prec@1 58.125 (57.028) Prec@5 90.625 (85.098) Epoch: [88][2950/11272] Time 0.867 (0.790) Data 0.002 (0.003) Loss 1.4161 (1.5908) Prec@1 58.125 (57.032) Prec@5 87.500 (85.099) Epoch: [88][2960/11272] Time 0.847 (0.790) Data 0.002 (0.003) Loss 1.5201 (1.5907) Prec@1 60.000 (57.030) Prec@5 84.375 (85.098) Epoch: [88][2970/11272] Time 0.752 (0.790) Data 0.002 (0.003) Loss 1.5522 (1.5909) Prec@1 60.625 (57.026) Prec@5 83.750 (85.096) Epoch: [88][2980/11272] Time 0.720 (0.790) Data 0.001 (0.003) Loss 1.5062 (1.5909) Prec@1 58.125 (57.026) Prec@5 86.250 (85.096) Epoch: [88][2990/11272] Time 0.871 (0.790) Data 0.002 (0.003) Loss 1.4831 (1.5906) Prec@1 58.750 (57.033) Prec@5 88.125 (85.101) Epoch: [88][3000/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.7636 (1.5907) Prec@1 49.375 (57.034) Prec@5 83.125 (85.100) Epoch: [88][3010/11272] Time 0.720 (0.790) Data 0.002 (0.003) Loss 1.6254 (1.5908) Prec@1 55.625 (57.031) Prec@5 88.125 (85.097) Epoch: [88][3020/11272] Time 0.874 (0.790) Data 0.001 (0.003) Loss 1.5066 (1.5908) Prec@1 53.750 (57.029) Prec@5 86.250 (85.095) Epoch: [88][3030/11272] Time 0.851 (0.790) Data 0.002 (0.003) Loss 1.3609 (1.5908) Prec@1 60.000 (57.029) Prec@5 88.125 (85.094) Epoch: [88][3040/11272] Time 0.718 (0.790) Data 0.003 (0.003) Loss 1.5414 (1.5905) Prec@1 56.875 (57.033) Prec@5 86.875 (85.099) Epoch: [88][3050/11272] Time 0.715 (0.790) Data 0.002 (0.003) Loss 1.4631 (1.5905) Prec@1 59.375 (57.032) Prec@5 90.000 (85.101) Epoch: [88][3060/11272] Time 0.855 (0.790) Data 0.001 (0.003) Loss 1.4221 (1.5905) Prec@1 61.875 (57.032) Prec@5 87.500 (85.099) Epoch: [88][3070/11272] Time 0.843 (0.790) Data 0.002 (0.003) Loss 1.5305 (1.5904) Prec@1 59.375 (57.030) Prec@5 87.500 (85.101) Epoch: [88][3080/11272] Time 0.728 (0.790) Data 0.002 (0.003) Loss 1.4732 (1.5906) Prec@1 60.000 (57.028) Prec@5 89.375 (85.101) Epoch: [88][3090/11272] Time 0.738 (0.790) Data 0.002 (0.003) Loss 1.4637 (1.5906) Prec@1 61.875 (57.036) Prec@5 87.500 (85.102) Epoch: [88][3100/11272] Time 0.825 (0.790) Data 0.001 (0.003) Loss 1.6967 (1.5908) Prec@1 54.375 (57.033) Prec@5 84.375 (85.100) Epoch: [88][3110/11272] Time 0.841 (0.790) Data 0.001 (0.003) Loss 1.5819 (1.5907) Prec@1 59.375 (57.035) Prec@5 83.125 (85.096) Epoch: [88][3120/11272] Time 0.777 (0.790) Data 0.001 (0.003) Loss 1.6787 (1.5907) Prec@1 54.375 (57.036) Prec@5 84.375 (85.096) Epoch: [88][3130/11272] Time 0.868 (0.790) Data 0.001 (0.003) Loss 1.4095 (1.5904) Prec@1 58.125 (57.042) Prec@5 89.375 (85.102) Epoch: [88][3140/11272] Time 0.834 (0.790) Data 0.001 (0.003) Loss 1.4212 (1.5903) Prec@1 60.625 (57.045) Prec@5 88.125 (85.102) Epoch: [88][3150/11272] Time 0.753 (0.790) Data 0.001 (0.003) Loss 1.5644 (1.5903) Prec@1 53.750 (57.046) Prec@5 83.125 (85.100) Epoch: [88][3160/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.4570 (1.5903) Prec@1 57.500 (57.046) Prec@5 86.250 (85.099) Epoch: [88][3170/11272] Time 0.867 (0.790) Data 0.002 (0.003) Loss 1.4594 (1.5903) Prec@1 56.875 (57.044) Prec@5 86.250 (85.097) Epoch: [88][3180/11272] Time 0.832 (0.790) Data 0.001 (0.003) Loss 1.6282 (1.5905) Prec@1 56.875 (57.041) Prec@5 83.125 (85.094) Epoch: [88][3190/11272] Time 0.727 (0.790) Data 0.001 (0.003) Loss 1.6991 (1.5906) Prec@1 55.625 (57.035) Prec@5 83.750 (85.092) Epoch: [88][3200/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.4763 (1.5905) Prec@1 56.250 (57.038) Prec@5 87.500 (85.095) Epoch: [88][3210/11272] Time 0.841 (0.790) Data 0.001 (0.003) Loss 1.5954 (1.5905) Prec@1 57.500 (57.039) Prec@5 85.000 (85.095) Epoch: [88][3220/11272] Time 0.820 (0.790) Data 0.001 (0.003) Loss 1.6181 (1.5903) Prec@1 60.625 (57.041) Prec@5 86.250 (85.097) Epoch: [88][3230/11272] Time 0.742 (0.790) Data 0.002 (0.003) Loss 1.4805 (1.5903) Prec@1 61.875 (57.044) Prec@5 84.375 (85.095) Epoch: [88][3240/11272] Time 0.740 (0.790) Data 0.001 (0.003) Loss 1.8159 (1.5904) Prec@1 48.750 (57.043) Prec@5 81.250 (85.096) Epoch: [88][3250/11272] Time 0.845 (0.790) Data 0.001 (0.003) Loss 1.4423 (1.5903) Prec@1 63.750 (57.042) Prec@5 89.375 (85.099) Epoch: [88][3260/11272] Time 0.730 (0.790) Data 0.004 (0.003) Loss 1.5423 (1.5902) Prec@1 58.750 (57.048) Prec@5 83.125 (85.100) Epoch: [88][3270/11272] Time 0.756 (0.790) Data 0.002 (0.003) Loss 1.6484 (1.5903) Prec@1 53.750 (57.046) Prec@5 83.750 (85.099) Epoch: [88][3280/11272] Time 0.892 (0.790) Data 0.001 (0.003) Loss 1.5062 (1.5903) Prec@1 57.500 (57.044) Prec@5 87.500 (85.098) Epoch: [88][3290/11272] Time 0.901 (0.790) Data 0.002 (0.003) Loss 1.6052 (1.5902) Prec@1 55.000 (57.040) Prec@5 85.625 (85.101) Epoch: [88][3300/11272] Time 0.709 (0.790) Data 0.002 (0.003) Loss 1.6960 (1.5902) Prec@1 53.750 (57.038) Prec@5 82.500 (85.105) Epoch: [88][3310/11272] Time 0.781 (0.790) Data 0.001 (0.003) Loss 1.6124 (1.5902) Prec@1 56.875 (57.038) Prec@5 84.375 (85.102) Epoch: [88][3320/11272] Time 0.864 (0.790) Data 0.002 (0.003) Loss 1.8958 (1.5903) Prec@1 49.375 (57.038) Prec@5 78.750 (85.099) Epoch: [88][3330/11272] Time 0.824 (0.790) Data 0.001 (0.003) Loss 1.6985 (1.5903) Prec@1 54.375 (57.034) Prec@5 86.250 (85.099) Epoch: [88][3340/11272] Time 0.730 (0.790) Data 0.001 (0.003) Loss 1.5015 (1.5902) Prec@1 57.500 (57.034) Prec@5 83.125 (85.100) Epoch: [88][3350/11272] Time 0.747 (0.790) Data 0.002 (0.003) Loss 1.7366 (1.5902) Prec@1 50.000 (57.034) Prec@5 83.750 (85.100) Epoch: [88][3360/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.5327 (1.5902) Prec@1 52.500 (57.034) Prec@5 89.375 (85.100) Epoch: [88][3370/11272] Time 0.826 (0.790) Data 0.001 (0.003) Loss 1.4684 (1.5901) Prec@1 56.875 (57.040) Prec@5 86.875 (85.102) Epoch: [88][3380/11272] Time 0.734 (0.790) Data 0.001 (0.003) Loss 1.4400 (1.5901) Prec@1 63.750 (57.041) Prec@5 89.375 (85.104) Epoch: [88][3390/11272] Time 0.899 (0.790) Data 0.002 (0.003) Loss 1.4052 (1.5901) Prec@1 61.250 (57.039) Prec@5 86.875 (85.103) Epoch: [88][3400/11272] Time 0.828 (0.790) Data 0.001 (0.003) Loss 1.6102 (1.5901) Prec@1 50.625 (57.038) Prec@5 85.625 (85.105) Epoch: [88][3410/11272] Time 0.745 (0.790) Data 0.001 (0.003) Loss 1.7298 (1.5902) Prec@1 55.000 (57.038) Prec@5 81.250 (85.101) Epoch: [88][3420/11272] Time 0.722 (0.790) Data 0.001 (0.003) Loss 1.7220 (1.5905) Prec@1 55.625 (57.034) Prec@5 83.750 (85.098) Epoch: [88][3430/11272] Time 0.805 (0.790) Data 0.001 (0.003) Loss 1.8936 (1.5906) Prec@1 50.625 (57.030) Prec@5 81.250 (85.097) Epoch: [88][3440/11272] Time 0.846 (0.790) Data 0.001 (0.003) Loss 1.3498 (1.5903) Prec@1 60.625 (57.039) Prec@5 90.625 (85.104) Epoch: [88][3450/11272] Time 0.742 (0.790) Data 0.001 (0.003) Loss 1.5635 (1.5901) Prec@1 55.000 (57.041) Prec@5 84.375 (85.107) Epoch: [88][3460/11272] Time 0.699 (0.790) Data 0.001 (0.003) Loss 1.7382 (1.5901) Prec@1 55.000 (57.041) Prec@5 81.250 (85.105) Epoch: [88][3470/11272] Time 0.821 (0.790) Data 0.001 (0.003) Loss 1.4515 (1.5902) Prec@1 58.125 (57.041) Prec@5 88.750 (85.102) Epoch: [88][3480/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.6211 (1.5900) Prec@1 56.250 (57.047) Prec@5 83.750 (85.103) Epoch: [88][3490/11272] Time 0.738 (0.790) Data 0.001 (0.003) Loss 1.4747 (1.5899) Prec@1 60.625 (57.048) Prec@5 85.000 (85.105) Epoch: [88][3500/11272] Time 0.758 (0.790) Data 0.001 (0.003) Loss 1.3323 (1.5897) Prec@1 70.000 (57.054) Prec@5 89.375 (85.108) Epoch: [88][3510/11272] Time 0.827 (0.790) Data 0.002 (0.003) Loss 1.4451 (1.5896) Prec@1 55.625 (57.055) Prec@5 91.250 (85.114) Epoch: [88][3520/11272] Time 0.714 (0.790) Data 0.003 (0.003) Loss 1.2859 (1.5895) Prec@1 65.625 (57.058) Prec@5 90.625 (85.114) Epoch: [88][3530/11272] Time 0.713 (0.790) Data 0.001 (0.003) Loss 1.7881 (1.5895) Prec@1 51.250 (57.058) Prec@5 81.875 (85.113) Epoch: [88][3540/11272] Time 0.822 (0.790) Data 0.001 (0.003) Loss 1.5883 (1.5894) Prec@1 57.500 (57.061) Prec@5 83.750 (85.115) Epoch: [88][3550/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.4456 (1.5892) Prec@1 62.500 (57.066) Prec@5 88.125 (85.119) Epoch: [88][3560/11272] Time 0.721 (0.790) Data 0.001 (0.003) Loss 1.5724 (1.5892) Prec@1 59.375 (57.064) Prec@5 85.000 (85.118) Epoch: [88][3570/11272] Time 0.721 (0.790) Data 0.001 (0.003) Loss 1.6667 (1.5894) Prec@1 51.250 (57.058) Prec@5 85.625 (85.115) Epoch: [88][3580/11272] Time 0.848 (0.790) Data 0.002 (0.003) Loss 1.6280 (1.5895) Prec@1 56.875 (57.055) Prec@5 83.750 (85.114) Epoch: [88][3590/11272] Time 0.836 (0.790) Data 0.002 (0.003) Loss 1.5246 (1.5895) Prec@1 58.750 (57.055) Prec@5 88.750 (85.115) Epoch: [88][3600/11272] Time 0.723 (0.790) Data 0.002 (0.003) Loss 1.3045 (1.5894) Prec@1 65.625 (57.058) Prec@5 88.750 (85.118) Epoch: [88][3610/11272] Time 0.720 (0.790) Data 0.001 (0.003) Loss 1.7743 (1.5895) Prec@1 53.750 (57.061) Prec@5 82.500 (85.118) Epoch: [88][3620/11272] Time 0.852 (0.790) Data 0.001 (0.003) Loss 1.8134 (1.5895) Prec@1 51.875 (57.063) Prec@5 80.625 (85.116) Epoch: [88][3630/11272] Time 0.820 (0.790) Data 0.001 (0.003) Loss 1.5285 (1.5895) Prec@1 59.375 (57.056) Prec@5 86.250 (85.117) Epoch: [88][3640/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.5672 (1.5895) Prec@1 51.250 (57.057) Prec@5 86.250 (85.119) Epoch: [88][3650/11272] Time 0.858 (0.790) Data 0.001 (0.003) Loss 1.2036 (1.5895) Prec@1 66.875 (57.057) Prec@5 90.625 (85.117) Epoch: [88][3660/11272] Time 0.875 (0.790) Data 0.002 (0.003) Loss 1.7138 (1.5894) Prec@1 51.250 (57.060) Prec@5 85.000 (85.119) Epoch: [88][3670/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.6241 (1.5895) Prec@1 55.000 (57.059) Prec@5 83.125 (85.118) Epoch: [88][3680/11272] Time 0.707 (0.790) Data 0.001 (0.003) Loss 1.5645 (1.5896) Prec@1 63.125 (57.054) Prec@5 83.750 (85.118) Epoch: [88][3690/11272] Time 0.830 (0.790) Data 0.001 (0.003) Loss 1.5560 (1.5896) Prec@1 53.125 (57.053) Prec@5 90.000 (85.119) Epoch: [88][3700/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.5091 (1.5896) Prec@1 62.500 (57.059) Prec@5 89.375 (85.120) Epoch: [88][3710/11272] Time 0.730 (0.790) Data 0.002 (0.003) Loss 1.5863 (1.5896) Prec@1 63.125 (57.061) Prec@5 83.750 (85.119) Epoch: [88][3720/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.7473 (1.5897) Prec@1 51.875 (57.060) Prec@5 83.750 (85.120) Epoch: [88][3730/11272] Time 0.820 (0.790) Data 0.002 (0.003) Loss 1.6716 (1.5897) Prec@1 56.875 (57.056) Prec@5 80.625 (85.119) Epoch: [88][3740/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.7560 (1.5898) Prec@1 56.250 (57.056) Prec@5 80.000 (85.116) Epoch: [88][3750/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.7187 (1.5896) Prec@1 50.000 (57.061) Prec@5 81.250 (85.118) Epoch: [88][3760/11272] Time 0.717 (0.790) Data 0.002 (0.003) Loss 1.8145 (1.5898) Prec@1 50.000 (57.056) Prec@5 83.125 (85.115) Epoch: [88][3770/11272] Time 0.854 (0.790) Data 0.002 (0.003) Loss 1.4651 (1.5898) Prec@1 57.500 (57.055) Prec@5 89.375 (85.116) Epoch: [88][3780/11272] Time 0.807 (0.790) Data 0.001 (0.003) Loss 1.5530 (1.5896) Prec@1 53.125 (57.059) Prec@5 88.750 (85.119) Epoch: [88][3790/11272] Time 0.747 (0.790) Data 0.002 (0.003) Loss 1.7044 (1.5895) Prec@1 60.000 (57.065) Prec@5 82.500 (85.118) Epoch: [88][3800/11272] Time 0.887 (0.790) Data 0.001 (0.003) Loss 1.5375 (1.5896) Prec@1 53.125 (57.065) Prec@5 84.375 (85.118) Epoch: [88][3810/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.4169 (1.5898) Prec@1 65.000 (57.061) Prec@5 88.125 (85.119) Epoch: [88][3820/11272] Time 0.739 (0.790) Data 0.002 (0.003) Loss 1.6014 (1.5896) Prec@1 56.875 (57.063) Prec@5 85.625 (85.120) Epoch: [88][3830/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.5720 (1.5897) Prec@1 57.500 (57.063) Prec@5 84.375 (85.118) Epoch: [88][3840/11272] Time 0.908 (0.790) Data 0.001 (0.003) Loss 1.4856 (1.5895) Prec@1 60.000 (57.066) Prec@5 86.875 (85.123) Epoch: [88][3850/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.6687 (1.5895) Prec@1 55.625 (57.064) Prec@5 82.500 (85.124) Epoch: [88][3860/11272] Time 0.711 (0.790) Data 0.001 (0.003) Loss 1.5665 (1.5896) Prec@1 62.500 (57.062) Prec@5 83.125 (85.126) Epoch: [88][3870/11272] Time 0.728 (0.790) Data 0.001 (0.003) Loss 1.6491 (1.5898) Prec@1 56.250 (57.059) Prec@5 84.375 (85.124) Epoch: [88][3880/11272] Time 0.864 (0.790) Data 0.002 (0.003) Loss 1.6744 (1.5898) Prec@1 57.500 (57.057) Prec@5 85.625 (85.122) Epoch: [88][3890/11272] Time 0.789 (0.790) Data 0.001 (0.003) Loss 1.5224 (1.5898) Prec@1 60.000 (57.059) Prec@5 89.375 (85.125) Epoch: [88][3900/11272] Time 0.741 (0.790) Data 0.001 (0.003) Loss 1.6109 (1.5898) Prec@1 60.000 (57.060) Prec@5 86.875 (85.128) Epoch: [88][3910/11272] Time 0.708 (0.790) Data 0.002 (0.003) Loss 1.5919 (1.5898) Prec@1 56.875 (57.059) Prec@5 86.875 (85.128) Epoch: [88][3920/11272] Time 0.841 (0.790) Data 0.002 (0.003) Loss 1.5840 (1.5901) Prec@1 55.625 (57.054) Prec@5 85.000 (85.122) Epoch: [88][3930/11272] Time 0.767 (0.790) Data 0.001 (0.003) Loss 1.5325 (1.5901) Prec@1 63.125 (57.055) Prec@5 83.125 (85.119) Epoch: [88][3940/11272] Time 0.718 (0.790) Data 0.001 (0.003) Loss 1.5928 (1.5900) Prec@1 59.375 (57.058) Prec@5 81.875 (85.119) Epoch: [88][3950/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.6585 (1.5901) Prec@1 59.375 (57.056) Prec@5 83.750 (85.116) Epoch: [88][3960/11272] Time 0.854 (0.790) Data 0.001 (0.003) Loss 1.5596 (1.5902) Prec@1 57.500 (57.057) Prec@5 85.000 (85.116) Epoch: [88][3970/11272] Time 0.762 (0.790) Data 0.002 (0.003) Loss 1.4674 (1.5900) Prec@1 59.375 (57.061) Prec@5 85.625 (85.118) Epoch: [88][3980/11272] Time 0.702 (0.790) Data 0.001 (0.003) Loss 1.4949 (1.5900) Prec@1 60.625 (57.063) Prec@5 85.000 (85.117) Epoch: [88][3990/11272] Time 0.887 (0.790) Data 0.001 (0.003) Loss 1.3774 (1.5900) Prec@1 61.875 (57.065) Prec@5 86.250 (85.117) Epoch: [88][4000/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.6654 (1.5898) Prec@1 51.250 (57.068) Prec@5 83.750 (85.120) Epoch: [88][4010/11272] Time 0.755 (0.790) Data 0.002 (0.003) Loss 1.3798 (1.5897) Prec@1 61.250 (57.071) Prec@5 89.375 (85.123) Epoch: [88][4020/11272] Time 0.749 (0.790) Data 0.002 (0.003) Loss 1.6412 (1.5896) Prec@1 60.625 (57.072) Prec@5 82.500 (85.127) Epoch: [88][4030/11272] Time 0.814 (0.790) Data 0.001 (0.003) Loss 1.4366 (1.5896) Prec@1 61.875 (57.073) Prec@5 90.000 (85.124) Epoch: [88][4040/11272] Time 0.840 (0.790) Data 0.002 (0.003) Loss 1.5812 (1.5897) Prec@1 53.750 (57.069) Prec@5 85.625 (85.123) Epoch: [88][4050/11272] Time 0.727 (0.790) Data 0.001 (0.003) Loss 1.7677 (1.5899) Prec@1 53.750 (57.064) Prec@5 83.750 (85.123) Epoch: [88][4060/11272] Time 0.841 (0.790) Data 0.001 (0.003) Loss 1.6548 (1.5899) Prec@1 56.250 (57.066) Prec@5 85.000 (85.122) Epoch: [88][4070/11272] Time 0.852 (0.790) Data 0.001 (0.003) Loss 1.6496 (1.5899) Prec@1 58.125 (57.067) Prec@5 81.250 (85.123) Epoch: [88][4080/11272] Time 0.727 (0.790) Data 0.001 (0.003) Loss 1.4363 (1.5900) Prec@1 63.750 (57.068) Prec@5 86.250 (85.123) Epoch: [88][4090/11272] Time 0.734 (0.790) Data 0.001 (0.003) Loss 1.6155 (1.5900) Prec@1 60.000 (57.070) Prec@5 83.125 (85.121) Epoch: [88][4100/11272] Time 0.840 (0.790) Data 0.001 (0.003) Loss 1.5726 (1.5902) Prec@1 56.875 (57.069) Prec@5 85.000 (85.116) Epoch: [88][4110/11272] Time 0.876 (0.790) Data 0.001 (0.003) Loss 1.5352 (1.5900) Prec@1 60.000 (57.072) Prec@5 82.500 (85.117) Epoch: [88][4120/11272] Time 0.721 (0.790) Data 0.002 (0.003) Loss 1.6630 (1.5901) Prec@1 52.500 (57.069) Prec@5 80.625 (85.117) Epoch: [88][4130/11272] Time 0.746 (0.790) Data 0.002 (0.003) Loss 1.7419 (1.5903) Prec@1 52.500 (57.066) Prec@5 84.375 (85.115) Epoch: [88][4140/11272] Time 0.828 (0.790) Data 0.001 (0.003) Loss 1.9178 (1.5904) Prec@1 50.625 (57.063) Prec@5 82.500 (85.113) Epoch: [88][4150/11272] Time 0.846 (0.790) Data 0.001 (0.003) Loss 1.6625 (1.5905) Prec@1 58.125 (57.060) Prec@5 83.750 (85.109) Epoch: [88][4160/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.7527 (1.5906) Prec@1 55.625 (57.058) Prec@5 80.625 (85.107) Epoch: [88][4170/11272] Time 0.741 (0.790) Data 0.001 (0.003) Loss 1.3570 (1.5905) Prec@1 63.125 (57.060) Prec@5 88.125 (85.109) Epoch: [88][4180/11272] Time 0.918 (0.790) Data 0.002 (0.003) Loss 1.5652 (1.5905) Prec@1 53.125 (57.061) Prec@5 85.000 (85.111) Epoch: [88][4190/11272] Time 0.719 (0.790) Data 0.002 (0.003) Loss 1.5233 (1.5905) Prec@1 58.125 (57.056) Prec@5 85.625 (85.112) Epoch: [88][4200/11272] Time 0.726 (0.790) Data 0.002 (0.003) Loss 1.5670 (1.5904) Prec@1 58.125 (57.058) Prec@5 86.250 (85.111) Epoch: [88][4210/11272] Time 0.872 (0.790) Data 0.002 (0.003) Loss 1.5714 (1.5904) Prec@1 56.875 (57.058) Prec@5 85.000 (85.110) Epoch: [88][4220/11272] Time 0.842 (0.790) Data 0.002 (0.003) Loss 1.6786 (1.5905) Prec@1 54.375 (57.055) Prec@5 85.000 (85.108) Epoch: [88][4230/11272] Time 0.716 (0.790) Data 0.002 (0.003) Loss 1.6191 (1.5904) Prec@1 62.500 (57.063) Prec@5 81.875 (85.109) Epoch: [88][4240/11272] Time 0.739 (0.790) Data 0.001 (0.003) Loss 1.7845 (1.5903) Prec@1 50.000 (57.064) Prec@5 83.125 (85.111) Epoch: [88][4250/11272] Time 0.848 (0.790) Data 0.001 (0.003) Loss 1.4255 (1.5903) Prec@1 60.000 (57.063) Prec@5 85.625 (85.110) Epoch: [88][4260/11272] Time 0.810 (0.790) Data 0.001 (0.003) Loss 1.8100 (1.5904) Prec@1 54.375 (57.058) Prec@5 81.875 (85.110) Epoch: [88][4270/11272] Time 0.723 (0.790) Data 0.001 (0.003) Loss 1.5013 (1.5903) Prec@1 56.250 (57.059) Prec@5 90.000 (85.113) Epoch: [88][4280/11272] Time 0.758 (0.790) Data 0.002 (0.003) Loss 1.4361 (1.5905) Prec@1 62.500 (57.060) Prec@5 88.750 (85.111) Epoch: [88][4290/11272] Time 0.829 (0.790) Data 0.001 (0.003) Loss 1.5862 (1.5905) Prec@1 58.125 (57.057) Prec@5 88.750 (85.111) Epoch: [88][4300/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.4469 (1.5905) Prec@1 62.500 (57.059) Prec@5 86.875 (85.111) Epoch: [88][4310/11272] Time 0.750 (0.790) Data 0.002 (0.003) Loss 1.4471 (1.5903) Prec@1 58.750 (57.064) Prec@5 88.750 (85.114) Epoch: [88][4320/11272] Time 0.860 (0.790) Data 0.001 (0.003) Loss 1.5507 (1.5905) Prec@1 56.875 (57.059) Prec@5 83.750 (85.109) Epoch: [88][4330/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.4568 (1.5905) Prec@1 61.875 (57.060) Prec@5 85.625 (85.106) Epoch: [88][4340/11272] Time 0.701 (0.790) Data 0.001 (0.003) Loss 1.5919 (1.5905) Prec@1 51.875 (57.058) Prec@5 85.625 (85.106) Epoch: [88][4350/11272] Time 0.735 (0.790) Data 0.001 (0.003) Loss 1.7112 (1.5907) Prec@1 55.000 (57.055) Prec@5 86.250 (85.104) Epoch: [88][4360/11272] Time 0.845 (0.790) Data 0.002 (0.003) Loss 1.8500 (1.5908) Prec@1 47.500 (57.047) Prec@5 81.875 (85.104) Epoch: [88][4370/11272] Time 0.805 (0.790) Data 0.001 (0.003) Loss 1.5819 (1.5910) Prec@1 59.375 (57.044) Prec@5 86.250 (85.099) Epoch: [88][4380/11272] Time 0.718 (0.790) Data 0.001 (0.003) Loss 1.5184 (1.5909) Prec@1 58.750 (57.047) Prec@5 86.250 (85.102) Epoch: [88][4390/11272] Time 0.724 (0.790) Data 0.001 (0.003) Loss 1.6318 (1.5911) Prec@1 55.000 (57.040) Prec@5 81.875 (85.100) Epoch: [88][4400/11272] Time 0.876 (0.790) Data 0.001 (0.002) Loss 1.4867 (1.5911) Prec@1 55.625 (57.038) Prec@5 89.375 (85.101) Epoch: [88][4410/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.5254 (1.5909) Prec@1 56.250 (57.046) Prec@5 83.125 (85.101) Epoch: [88][4420/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.5221 (1.5910) Prec@1 51.875 (57.044) Prec@5 87.500 (85.100) Epoch: [88][4430/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.7493 (1.5911) Prec@1 49.375 (57.041) Prec@5 81.875 (85.097) Epoch: [88][4440/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.5904 (1.5911) Prec@1 59.375 (57.044) Prec@5 82.500 (85.097) Epoch: [88][4450/11272] Time 0.716 (0.790) Data 0.003 (0.002) Loss 1.4852 (1.5911) Prec@1 58.750 (57.044) Prec@5 88.750 (85.099) Epoch: [88][4460/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.5677 (1.5911) Prec@1 59.375 (57.042) Prec@5 86.250 (85.099) Epoch: [88][4470/11272] Time 0.807 (0.790) Data 0.001 (0.002) Loss 1.4178 (1.5911) Prec@1 61.250 (57.040) Prec@5 88.750 (85.100) Epoch: [88][4480/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 1.4167 (1.5912) Prec@1 58.750 (57.038) Prec@5 87.500 (85.100) Epoch: [88][4490/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.5934 (1.5913) Prec@1 56.875 (57.033) Prec@5 83.750 (85.097) Epoch: [88][4500/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.6843 (1.5913) Prec@1 53.125 (57.031) Prec@5 84.375 (85.098) Epoch: [88][4510/11272] Time 0.849 (0.790) Data 0.002 (0.002) Loss 1.4783 (1.5915) Prec@1 61.250 (57.026) Prec@5 86.875 (85.094) Epoch: [88][4520/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.5743 (1.5915) Prec@1 60.000 (57.028) Prec@5 83.125 (85.094) Epoch: [88][4530/11272] Time 0.695 (0.790) Data 0.002 (0.002) Loss 1.5820 (1.5916) Prec@1 60.000 (57.028) Prec@5 85.625 (85.093) Epoch: [88][4540/11272] Time 0.754 (0.790) Data 0.001 (0.002) Loss 1.7674 (1.5917) Prec@1 48.750 (57.024) Prec@5 83.750 (85.090) Epoch: [88][4550/11272] Time 0.828 (0.789) Data 0.002 (0.002) Loss 1.6232 (1.5917) Prec@1 55.625 (57.026) Prec@5 83.125 (85.091) Epoch: [88][4560/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.5906 (1.5917) Prec@1 54.375 (57.027) Prec@5 86.875 (85.090) Epoch: [88][4570/11272] Time 0.703 (0.789) Data 0.001 (0.002) Loss 1.5659 (1.5917) Prec@1 60.000 (57.028) Prec@5 89.375 (85.089) Epoch: [88][4580/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.5666 (1.5917) Prec@1 56.875 (57.027) Prec@5 87.500 (85.090) Epoch: [88][4590/11272] Time 0.859 (0.789) Data 0.001 (0.002) Loss 1.7032 (1.5917) Prec@1 53.750 (57.027) Prec@5 81.875 (85.089) Epoch: [88][4600/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.5265 (1.5916) Prec@1 59.375 (57.026) Prec@5 84.375 (85.089) Epoch: [88][4610/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.4050 (1.5916) Prec@1 63.125 (57.025) Prec@5 88.125 (85.088) Epoch: [88][4620/11272] Time 0.901 (0.789) Data 0.001 (0.002) Loss 1.4211 (1.5915) Prec@1 57.500 (57.023) Prec@5 88.750 (85.090) Epoch: [88][4630/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.4505 (1.5916) Prec@1 58.750 (57.021) Prec@5 87.500 (85.089) Epoch: [88][4640/11272] Time 0.709 (0.789) Data 0.002 (0.002) Loss 1.5957 (1.5917) Prec@1 51.875 (57.020) Prec@5 86.875 (85.088) Epoch: [88][4650/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.6555 (1.5917) Prec@1 56.875 (57.021) Prec@5 81.875 (85.087) Epoch: [88][4660/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.7645 (1.5917) Prec@1 54.375 (57.021) Prec@5 83.125 (85.087) Epoch: [88][4670/11272] Time 0.857 (0.789) Data 0.002 (0.002) Loss 1.4107 (1.5916) Prec@1 60.000 (57.023) Prec@5 88.125 (85.092) Epoch: [88][4680/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.5459 (1.5917) Prec@1 59.375 (57.022) Prec@5 86.875 (85.090) Epoch: [88][4690/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.3287 (1.5917) Prec@1 64.375 (57.020) Prec@5 87.500 (85.090) Epoch: [88][4700/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.6870 (1.5917) Prec@1 53.125 (57.020) Prec@5 86.250 (85.090) Epoch: [88][4710/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.5565 (1.5919) Prec@1 54.375 (57.016) Prec@5 85.625 (85.088) Epoch: [88][4720/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.7790 (1.5921) Prec@1 53.750 (57.008) Prec@5 79.375 (85.086) Epoch: [88][4730/11272] Time 0.808 (0.789) Data 0.002 (0.002) Loss 1.6058 (1.5921) Prec@1 53.750 (57.009) Prec@5 87.500 (85.087) Epoch: [88][4740/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.6612 (1.5923) Prec@1 61.250 (57.008) Prec@5 83.750 (85.082) Epoch: [88][4750/11272] Time 0.715 (0.789) Data 0.002 (0.002) Loss 1.6660 (1.5924) Prec@1 52.500 (57.004) Prec@5 85.625 (85.081) Epoch: [88][4760/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.8383 (1.5924) Prec@1 53.750 (57.002) Prec@5 79.375 (85.080) Epoch: [88][4770/11272] Time 0.865 (0.789) Data 0.001 (0.002) Loss 1.4550 (1.5924) Prec@1 58.125 (57.001) Prec@5 86.250 (85.079) Epoch: [88][4780/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.9780 (1.5926) Prec@1 48.750 (56.997) Prec@5 81.875 (85.078) Epoch: [88][4790/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.4368 (1.5926) Prec@1 60.000 (56.997) Prec@5 88.125 (85.077) Epoch: [88][4800/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4612 (1.5926) Prec@1 61.250 (57.002) Prec@5 86.250 (85.076) Epoch: [88][4810/11272] Time 0.849 (0.790) Data 0.001 (0.002) Loss 1.5057 (1.5926) Prec@1 61.250 (57.002) Prec@5 83.125 (85.076) Epoch: [88][4820/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 1.6038 (1.5926) Prec@1 56.250 (57.002) Prec@5 85.625 (85.080) Epoch: [88][4830/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.4491 (1.5926) Prec@1 62.500 (57.004) Prec@5 85.000 (85.078) Epoch: [88][4840/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6019 (1.5928) Prec@1 59.375 (57.002) Prec@5 86.875 (85.076) Epoch: [88][4850/11272] Time 0.841 (0.789) Data 0.001 (0.002) Loss 1.6633 (1.5928) Prec@1 55.625 (57.004) Prec@5 84.375 (85.074) Epoch: [88][4860/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.6091 (1.5928) Prec@1 58.750 (57.005) Prec@5 83.750 (85.074) Epoch: [88][4870/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.7099 (1.5929) Prec@1 54.375 (57.000) Prec@5 85.000 (85.073) Epoch: [88][4880/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.5479 (1.5930) Prec@1 60.000 (56.999) Prec@5 86.875 (85.072) Epoch: [88][4890/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.8494 (1.5930) Prec@1 53.125 (57.000) Prec@5 79.375 (85.071) Epoch: [88][4900/11272] Time 0.710 (0.789) Data 0.001 (0.002) Loss 1.5242 (1.5931) Prec@1 61.875 (56.999) Prec@5 87.500 (85.067) Epoch: [88][4910/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.6087 (1.5931) Prec@1 54.375 (56.997) Prec@5 86.250 (85.068) Epoch: [88][4920/11272] Time 0.793 (0.789) Data 0.001 (0.002) Loss 1.5195 (1.5929) Prec@1 60.000 (57.000) Prec@5 83.125 (85.070) Epoch: [88][4930/11272] Time 0.874 (0.789) Data 0.001 (0.002) Loss 1.4987 (1.5929) Prec@1 60.000 (56.999) Prec@5 87.500 (85.071) Epoch: [88][4940/11272] Time 0.724 (0.789) Data 0.002 (0.002) Loss 1.5955 (1.5930) Prec@1 58.750 (56.997) Prec@5 84.375 (85.070) Epoch: [88][4950/11272] Time 0.758 (0.789) Data 0.002 (0.002) Loss 1.3123 (1.5929) Prec@1 63.125 (56.997) Prec@5 88.125 (85.068) Epoch: [88][4960/11272] Time 0.895 (0.789) Data 0.001 (0.002) Loss 1.5038 (1.5930) Prec@1 55.000 (56.995) Prec@5 86.250 (85.066) Epoch: [88][4970/11272] Time 0.880 (0.789) Data 0.002 (0.002) Loss 1.7273 (1.5930) Prec@1 56.250 (56.993) Prec@5 83.125 (85.067) Epoch: [88][4980/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.4725 (1.5931) Prec@1 60.625 (56.990) Prec@5 88.750 (85.068) Epoch: [88][4990/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.5601 (1.5931) Prec@1 60.625 (56.990) Prec@5 85.000 (85.070) Epoch: [88][5000/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.5282 (1.5931) Prec@1 61.250 (56.988) Prec@5 88.750 (85.071) Epoch: [88][5010/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.7041 (1.5932) Prec@1 57.500 (56.986) Prec@5 82.500 (85.071) Epoch: [88][5020/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.7990 (1.5933) Prec@1 52.500 (56.982) Prec@5 80.000 (85.069) Epoch: [88][5030/11272] Time 0.880 (0.789) Data 0.001 (0.002) Loss 1.5948 (1.5935) Prec@1 58.750 (56.982) Prec@5 86.875 (85.065) Epoch: [88][5040/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.5547 (1.5935) Prec@1 56.250 (56.982) Prec@5 86.875 (85.063) Epoch: [88][5050/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.6966 (1.5937) Prec@1 56.250 (56.980) Prec@5 85.625 (85.061) Epoch: [88][5060/11272] Time 0.744 (0.789) Data 0.001 (0.002) Loss 1.8744 (1.5939) Prec@1 48.125 (56.978) Prec@5 82.500 (85.056) Epoch: [88][5070/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.3806 (1.5939) Prec@1 56.875 (56.976) Prec@5 88.750 (85.056) Epoch: [88][5080/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.8502 (1.5939) Prec@1 54.375 (56.978) Prec@5 78.750 (85.055) Epoch: [88][5090/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.5790 (1.5940) Prec@1 57.500 (56.976) Prec@5 83.750 (85.053) Epoch: [88][5100/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.5189 (1.5940) Prec@1 56.875 (56.975) Prec@5 86.250 (85.053) Epoch: [88][5110/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.4488 (1.5941) Prec@1 61.875 (56.974) Prec@5 86.250 (85.052) Epoch: [88][5120/11272] Time 0.713 (0.789) Data 0.004 (0.002) Loss 1.3936 (1.5941) Prec@1 58.750 (56.974) Prec@5 88.750 (85.051) Epoch: [88][5130/11272] Time 0.727 (0.789) Data 0.001 (0.002) Loss 1.3194 (1.5941) Prec@1 64.375 (56.977) Prec@5 90.625 (85.053) Epoch: [88][5140/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.6840 (1.5940) Prec@1 53.125 (56.976) Prec@5 83.750 (85.056) Epoch: [88][5150/11272] Time 0.890 (0.789) Data 0.001 (0.002) Loss 1.5860 (1.5940) Prec@1 57.500 (56.977) Prec@5 85.000 (85.054) Epoch: [88][5160/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.5827 (1.5941) Prec@1 59.375 (56.977) Prec@5 84.375 (85.054) Epoch: [88][5170/11272] Time 0.701 (0.789) Data 0.001 (0.002) Loss 1.4262 (1.5941) Prec@1 60.000 (56.978) Prec@5 89.375 (85.054) Epoch: [88][5180/11272] Time 0.821 (0.789) Data 0.002 (0.002) Loss 1.6654 (1.5942) Prec@1 54.375 (56.976) Prec@5 83.750 (85.052) Epoch: [88][5190/11272] Time 0.908 (0.789) Data 0.002 (0.002) Loss 1.7466 (1.5941) Prec@1 53.750 (56.983) Prec@5 86.250 (85.054) Epoch: [88][5200/11272] Time 0.781 (0.789) Data 0.002 (0.002) Loss 1.8369 (1.5942) Prec@1 50.625 (56.981) Prec@5 81.250 (85.053) Epoch: [88][5210/11272] Time 0.796 (0.789) Data 0.002 (0.002) Loss 1.6264 (1.5943) Prec@1 58.125 (56.982) Prec@5 80.625 (85.050) Epoch: [88][5220/11272] Time 0.851 (0.789) Data 0.002 (0.002) Loss 1.4911 (1.5942) Prec@1 60.625 (56.985) Prec@5 89.375 (85.051) Epoch: [88][5230/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.5202 (1.5941) Prec@1 59.375 (56.983) Prec@5 87.500 (85.055) Epoch: [88][5240/11272] Time 0.748 (0.790) Data 0.001 (0.002) Loss 1.6717 (1.5941) Prec@1 54.375 (56.985) Prec@5 83.125 (85.055) Epoch: [88][5250/11272] Time 0.862 (0.790) Data 0.002 (0.002) Loss 1.4000 (1.5941) Prec@1 61.875 (56.987) Prec@5 88.125 (85.055) Epoch: [88][5260/11272] Time 0.836 (0.790) Data 0.002 (0.002) Loss 1.6530 (1.5941) Prec@1 57.500 (56.986) Prec@5 83.750 (85.053) Epoch: [88][5270/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.5062 (1.5941) Prec@1 56.875 (56.988) Prec@5 86.875 (85.051) Epoch: [88][5280/11272] Time 0.712 (0.790) Data 0.002 (0.002) Loss 1.6153 (1.5942) Prec@1 52.500 (56.987) Prec@5 85.000 (85.050) Epoch: [88][5290/11272] Time 0.811 (0.790) Data 0.001 (0.002) Loss 1.5479 (1.5941) Prec@1 57.500 (56.990) Prec@5 86.875 (85.050) Epoch: [88][5300/11272] Time 0.848 (0.790) Data 0.001 (0.002) Loss 1.5704 (1.5941) Prec@1 58.125 (56.991) Prec@5 85.000 (85.051) Epoch: [88][5310/11272] Time 0.791 (0.790) Data 0.001 (0.002) Loss 1.7957 (1.5942) Prec@1 50.625 (56.991) Prec@5 80.625 (85.049) Epoch: [88][5320/11272] Time 0.746 (0.790) Data 0.001 (0.002) Loss 1.6680 (1.5942) Prec@1 52.500 (56.991) Prec@5 83.750 (85.047) Epoch: [88][5330/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 1.4114 (1.5941) Prec@1 60.000 (56.993) Prec@5 88.125 (85.049) Epoch: [88][5340/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.4477 (1.5941) Prec@1 61.875 (56.994) Prec@5 90.000 (85.051) Epoch: [88][5350/11272] Time 0.710 (0.790) Data 0.001 (0.002) Loss 1.8630 (1.5942) Prec@1 50.000 (56.989) Prec@5 80.000 (85.049) Epoch: [88][5360/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.6760 (1.5941) Prec@1 55.000 (56.990) Prec@5 81.250 (85.051) Epoch: [88][5370/11272] Time 0.896 (0.790) Data 0.002 (0.002) Loss 1.5010 (1.5940) Prec@1 58.750 (56.990) Prec@5 85.000 (85.052) Epoch: [88][5380/11272] Time 0.718 (0.790) Data 0.003 (0.002) Loss 1.6055 (1.5940) Prec@1 54.375 (56.991) Prec@5 85.000 (85.051) Epoch: [88][5390/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.4927 (1.5941) Prec@1 61.250 (56.991) Prec@5 86.250 (85.048) Epoch: [88][5400/11272] Time 0.806 (0.790) Data 0.002 (0.002) Loss 1.5338 (1.5940) Prec@1 57.500 (56.992) Prec@5 86.875 (85.049) Epoch: [88][5410/11272] Time 0.894 (0.790) Data 0.002 (0.002) Loss 1.5113 (1.5942) Prec@1 60.000 (56.991) Prec@5 85.625 (85.046) Epoch: [88][5420/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.5294 (1.5942) Prec@1 56.875 (56.992) Prec@5 83.750 (85.045) Epoch: [88][5430/11272] Time 0.706 (0.790) Data 0.002 (0.002) Loss 1.7669 (1.5941) Prec@1 55.625 (56.993) Prec@5 82.500 (85.047) Epoch: [88][5440/11272] Time 0.873 (0.790) Data 0.002 (0.002) Loss 1.4448 (1.5941) Prec@1 64.375 (56.994) Prec@5 88.750 (85.047) Epoch: [88][5450/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.7238 (1.5941) Prec@1 56.875 (56.993) Prec@5 83.750 (85.048) Epoch: [88][5460/11272] Time 0.755 (0.790) Data 0.002 (0.002) Loss 1.4912 (1.5942) Prec@1 51.875 (56.989) Prec@5 86.875 (85.046) Epoch: [88][5470/11272] Time 0.736 (0.790) Data 0.002 (0.002) Loss 1.6580 (1.5942) Prec@1 54.375 (56.986) Prec@5 86.250 (85.047) Epoch: [88][5480/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.6231 (1.5943) Prec@1 59.375 (56.985) Prec@5 86.250 (85.047) Epoch: [88][5490/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.4923 (1.5941) Prec@1 55.000 (56.988) Prec@5 85.000 (85.049) Epoch: [88][5500/11272] Time 0.741 (0.790) Data 0.002 (0.002) Loss 1.5858 (1.5941) Prec@1 53.750 (56.987) Prec@5 87.500 (85.050) Epoch: [88][5510/11272] Time 0.882 (0.790) Data 0.001 (0.002) Loss 1.3359 (1.5941) Prec@1 62.500 (56.988) Prec@5 89.375 (85.051) Epoch: [88][5520/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.5745 (1.5940) Prec@1 56.875 (56.987) Prec@5 81.250 (85.053) Epoch: [88][5530/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.6865 (1.5939) Prec@1 56.875 (56.990) Prec@5 85.625 (85.054) Epoch: [88][5540/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.5332 (1.5939) Prec@1 60.000 (56.990) Prec@5 84.375 (85.053) Epoch: [88][5550/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.3216 (1.5939) Prec@1 58.750 (56.989) Prec@5 92.500 (85.054) Epoch: [88][5560/11272] Time 0.892 (0.790) Data 0.002 (0.002) Loss 1.6795 (1.5940) Prec@1 55.625 (56.986) Prec@5 84.375 (85.054) Epoch: [88][5570/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.8055 (1.5939) Prec@1 49.375 (56.985) Prec@5 82.500 (85.055) Epoch: [88][5580/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.3671 (1.5939) Prec@1 61.250 (56.982) Prec@5 88.125 (85.055) Epoch: [88][5590/11272] Time 0.888 (0.790) Data 0.002 (0.002) Loss 1.5235 (1.5939) Prec@1 56.875 (56.984) Prec@5 86.250 (85.055) Epoch: [88][5600/11272] Time 0.884 (0.790) Data 0.002 (0.002) Loss 1.6500 (1.5939) Prec@1 56.250 (56.983) Prec@5 86.250 (85.056) Epoch: [88][5610/11272] Time 0.778 (0.790) Data 0.002 (0.002) Loss 1.7116 (1.5941) Prec@1 52.500 (56.979) Prec@5 85.625 (85.052) Epoch: [88][5620/11272] Time 0.714 (0.790) Data 0.002 (0.002) Loss 1.4904 (1.5941) Prec@1 55.625 (56.978) Prec@5 88.125 (85.053) Epoch: [88][5630/11272] Time 0.849 (0.790) Data 0.001 (0.002) Loss 1.6572 (1.5940) Prec@1 53.125 (56.979) Prec@5 84.375 (85.053) Epoch: [88][5640/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.4491 (1.5941) Prec@1 60.000 (56.977) Prec@5 89.375 (85.054) Epoch: [88][5650/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.5291 (1.5940) Prec@1 58.750 (56.978) Prec@5 86.875 (85.057) Epoch: [88][5660/11272] Time 0.827 (0.790) Data 0.002 (0.002) Loss 1.5058 (1.5942) Prec@1 61.250 (56.975) Prec@5 85.000 (85.056) Epoch: [88][5670/11272] Time 0.841 (0.790) Data 0.002 (0.002) Loss 1.6347 (1.5942) Prec@1 50.625 (56.976) Prec@5 85.000 (85.056) Epoch: [88][5680/11272] Time 0.707 (0.790) Data 0.001 (0.002) Loss 1.5543 (1.5942) Prec@1 58.750 (56.975) Prec@5 86.250 (85.055) Epoch: [88][5690/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.6581 (1.5941) Prec@1 55.625 (56.973) Prec@5 83.125 (85.055) Epoch: [88][5700/11272] Time 0.845 (0.790) Data 0.001 (0.002) Loss 1.6142 (1.5941) Prec@1 55.000 (56.973) Prec@5 88.750 (85.057) Epoch: [88][5710/11272] Time 0.815 (0.790) Data 0.001 (0.002) Loss 1.7108 (1.5941) Prec@1 55.625 (56.974) Prec@5 83.750 (85.056) Epoch: [88][5720/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.6376 (1.5941) Prec@1 55.000 (56.973) Prec@5 85.625 (85.056) Epoch: [88][5730/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.7721 (1.5942) Prec@1 49.375 (56.971) Prec@5 86.875 (85.054) Epoch: [88][5740/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.5630 (1.5942) Prec@1 56.875 (56.969) Prec@5 87.500 (85.054) Epoch: [88][5750/11272] Time 0.811 (0.790) Data 0.001 (0.002) Loss 1.6612 (1.5942) Prec@1 52.500 (56.971) Prec@5 85.000 (85.054) Epoch: [88][5760/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.7188 (1.5942) Prec@1 52.500 (56.969) Prec@5 85.000 (85.053) Epoch: [88][5770/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.4776 (1.5942) Prec@1 60.625 (56.970) Prec@5 85.625 (85.054) Epoch: [88][5780/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.6794 (1.5943) Prec@1 56.875 (56.965) Prec@5 83.750 (85.053) Epoch: [88][5790/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.4633 (1.5944) Prec@1 65.000 (56.966) Prec@5 85.625 (85.051) Epoch: [88][5800/11272] Time 0.727 (0.790) Data 0.002 (0.002) Loss 1.8836 (1.5944) Prec@1 47.500 (56.960) Prec@5 82.500 (85.051) Epoch: [88][5810/11272] Time 0.820 (0.790) Data 0.001 (0.002) Loss 1.6829 (1.5946) Prec@1 60.000 (56.957) Prec@5 79.375 (85.047) Epoch: [88][5820/11272] Time 0.867 (0.790) Data 0.002 (0.002) Loss 1.7354 (1.5946) Prec@1 58.750 (56.955) Prec@5 81.875 (85.049) Epoch: [88][5830/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.6345 (1.5946) Prec@1 56.875 (56.954) Prec@5 83.750 (85.051) Epoch: [88][5840/11272] Time 0.775 (0.790) Data 0.001 (0.002) Loss 1.5458 (1.5946) Prec@1 56.250 (56.954) Prec@5 85.625 (85.050) Epoch: [88][5850/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.6032 (1.5946) Prec@1 56.250 (56.956) Prec@5 84.375 (85.050) Epoch: [88][5860/11272] Time 0.999 (0.790) Data 0.002 (0.002) Loss 1.7118 (1.5948) Prec@1 58.125 (56.953) Prec@5 85.625 (85.047) Epoch: [88][5870/11272] Time 0.735 (0.790) Data 0.001 (0.002) Loss 1.7167 (1.5949) Prec@1 53.750 (56.951) Prec@5 81.250 (85.046) Epoch: [88][5880/11272] Time 0.710 (0.790) Data 0.001 (0.002) Loss 1.6726 (1.5949) Prec@1 61.250 (56.952) Prec@5 85.000 (85.046) Epoch: [88][5890/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.5347 (1.5949) Prec@1 61.250 (56.949) Prec@5 84.375 (85.044) Epoch: [88][5900/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.4583 (1.5950) Prec@1 61.250 (56.949) Prec@5 85.000 (85.044) Epoch: [88][5910/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.6267 (1.5950) Prec@1 54.375 (56.946) Prec@5 85.625 (85.045) Epoch: [88][5920/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.6131 (1.5949) Prec@1 57.500 (56.945) Prec@5 85.000 (85.047) Epoch: [88][5930/11272] Time 0.818 (0.790) Data 0.002 (0.002) Loss 1.6430 (1.5949) Prec@1 58.750 (56.948) Prec@5 85.000 (85.049) Epoch: [88][5940/11272] Time 0.704 (0.790) Data 0.001 (0.002) Loss 1.4637 (1.5950) Prec@1 61.250 (56.945) Prec@5 88.125 (85.050) Epoch: [88][5950/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.6213 (1.5950) Prec@1 53.750 (56.941) Prec@5 84.375 (85.048) Epoch: [88][5960/11272] Time 0.874 (0.790) Data 0.001 (0.002) Loss 1.7434 (1.5950) Prec@1 58.125 (56.942) Prec@5 80.625 (85.048) Epoch: [88][5970/11272] Time 0.818 (0.790) Data 0.001 (0.002) Loss 1.7750 (1.5951) Prec@1 53.750 (56.940) Prec@5 83.750 (85.048) Epoch: [88][5980/11272] Time 0.696 (0.790) Data 0.001 (0.002) Loss 1.5648 (1.5952) Prec@1 55.000 (56.938) Prec@5 88.125 (85.047) Epoch: [88][5990/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.6616 (1.5952) Prec@1 55.000 (56.938) Prec@5 84.375 (85.046) Epoch: [88][6000/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.5370 (1.5954) Prec@1 56.250 (56.933) Prec@5 84.375 (85.043) Epoch: [88][6010/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.6092 (1.5953) Prec@1 56.250 (56.933) Prec@5 82.500 (85.045) Epoch: [88][6020/11272] Time 0.700 (0.790) Data 0.001 (0.002) Loss 1.8598 (1.5954) Prec@1 53.125 (56.934) Prec@5 75.000 (85.044) Epoch: [88][6030/11272] Time 0.728 (0.790) Data 0.002 (0.002) Loss 1.5434 (1.5953) Prec@1 56.250 (56.934) Prec@5 85.625 (85.045) Epoch: [88][6040/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.5762 (1.5953) Prec@1 57.500 (56.936) Prec@5 83.125 (85.045) Epoch: [88][6050/11272] Time 0.737 (0.789) Data 0.002 (0.002) Loss 1.4970 (1.5952) Prec@1 60.625 (56.939) Prec@5 87.500 (85.046) Epoch: [88][6060/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.6884 (1.5953) Prec@1 56.250 (56.939) Prec@5 85.000 (85.044) Epoch: [88][6070/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.6786 (1.5953) Prec@1 54.375 (56.940) Prec@5 81.875 (85.044) Epoch: [88][6080/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.8894 (1.5954) Prec@1 51.250 (56.938) Prec@5 80.625 (85.045) Epoch: [88][6090/11272] Time 0.747 (0.789) Data 0.001 (0.002) Loss 1.7721 (1.5956) Prec@1 58.125 (56.932) Prec@5 83.750 (85.042) Epoch: [88][6100/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.6221 (1.5955) Prec@1 56.250 (56.932) Prec@5 83.125 (85.043) Epoch: [88][6110/11272] Time 0.817 (0.789) Data 0.001 (0.002) Loss 1.4347 (1.5955) Prec@1 61.250 (56.932) Prec@5 88.125 (85.043) Epoch: [88][6120/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.6122 (1.5954) Prec@1 57.500 (56.936) Prec@5 80.000 (85.043) Epoch: [88][6130/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.6953 (1.5954) Prec@1 56.250 (56.937) Prec@5 83.750 (85.044) Epoch: [88][6140/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.6064 (1.5953) Prec@1 56.250 (56.939) Prec@5 85.000 (85.046) Epoch: [88][6150/11272] Time 0.794 (0.789) Data 0.001 (0.002) Loss 1.4622 (1.5954) Prec@1 58.125 (56.936) Prec@5 85.000 (85.045) Epoch: [88][6160/11272] Time 0.790 (0.789) Data 0.001 (0.002) Loss 1.4985 (1.5953) Prec@1 61.875 (56.938) Prec@5 86.875 (85.047) Epoch: [88][6170/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.5492 (1.5953) Prec@1 54.375 (56.935) Prec@5 86.250 (85.046) Epoch: [88][6180/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.5421 (1.5954) Prec@1 58.125 (56.935) Prec@5 88.750 (85.046) Epoch: [88][6190/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.7785 (1.5955) Prec@1 55.000 (56.930) Prec@5 80.000 (85.044) Epoch: [88][6200/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.4555 (1.5954) Prec@1 61.250 (56.931) Prec@5 88.750 (85.045) Epoch: [88][6210/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.7575 (1.5955) Prec@1 50.000 (56.930) Prec@5 80.625 (85.045) Epoch: [88][6220/11272] Time 0.954 (0.789) Data 0.002 (0.002) Loss 1.5856 (1.5955) Prec@1 57.500 (56.930) Prec@5 85.625 (85.046) Epoch: [88][6230/11272] Time 0.860 (0.789) Data 0.001 (0.002) Loss 1.4125 (1.5955) Prec@1 57.500 (56.930) Prec@5 88.125 (85.046) Epoch: [88][6240/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.6717 (1.5955) Prec@1 58.750 (56.930) Prec@5 81.250 (85.045) Epoch: [88][6250/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.4750 (1.5956) Prec@1 58.125 (56.930) Prec@5 88.125 (85.044) Epoch: [88][6260/11272] Time 0.893 (0.789) Data 0.001 (0.002) Loss 1.4254 (1.5956) Prec@1 66.875 (56.932) Prec@5 86.250 (85.043) Epoch: [88][6270/11272] Time 0.831 (0.789) Data 0.002 (0.002) Loss 1.6733 (1.5956) Prec@1 54.375 (56.929) Prec@5 85.625 (85.044) Epoch: [88][6280/11272] Time 0.700 (0.789) Data 0.001 (0.002) Loss 1.9227 (1.5957) Prec@1 46.250 (56.927) Prec@5 80.000 (85.043) Epoch: [88][6290/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.6700 (1.5958) Prec@1 57.500 (56.926) Prec@5 83.750 (85.043) Epoch: [88][6300/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.5871 (1.5957) Prec@1 56.875 (56.927) Prec@5 85.625 (85.043) Epoch: [88][6310/11272] Time 0.799 (0.789) Data 0.005 (0.002) Loss 1.5262 (1.5957) Prec@1 55.625 (56.928) Prec@5 88.125 (85.042) Epoch: [88][6320/11272] Time 0.735 (0.789) Data 0.002 (0.002) Loss 1.6681 (1.5956) Prec@1 55.000 (56.928) Prec@5 83.125 (85.045) Epoch: [88][6330/11272] Time 0.845 (0.789) Data 0.002 (0.002) Loss 1.5528 (1.5956) Prec@1 53.750 (56.926) Prec@5 84.375 (85.047) Epoch: [88][6340/11272] Time 0.843 (0.789) Data 0.002 (0.002) Loss 1.7295 (1.5957) Prec@1 58.125 (56.926) Prec@5 83.125 (85.048) Epoch: [88][6350/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.9544 (1.5958) Prec@1 51.250 (56.923) Prec@5 80.000 (85.046) Epoch: [88][6360/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.8614 (1.5958) Prec@1 51.250 (56.923) Prec@5 80.625 (85.047) Epoch: [88][6370/11272] Time 0.885 (0.789) Data 0.002 (0.002) Loss 1.6497 (1.5958) Prec@1 58.125 (56.924) Prec@5 83.125 (85.046) Epoch: [88][6380/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 1.7500 (1.5959) Prec@1 48.125 (56.920) Prec@5 83.125 (85.044) Epoch: [88][6390/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.4519 (1.5960) Prec@1 65.000 (56.918) Prec@5 87.500 (85.043) Epoch: [88][6400/11272] Time 0.697 (0.789) Data 0.001 (0.002) Loss 1.6121 (1.5961) Prec@1 57.500 (56.916) Prec@5 85.000 (85.041) Epoch: [88][6410/11272] Time 0.866 (0.789) Data 0.002 (0.002) Loss 1.5426 (1.5960) Prec@1 55.000 (56.916) Prec@5 86.250 (85.040) Epoch: [88][6420/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.5437 (1.5960) Prec@1 58.125 (56.919) Prec@5 88.125 (85.041) Epoch: [88][6430/11272] Time 0.761 (0.789) Data 0.001 (0.002) Loss 1.4437 (1.5960) Prec@1 61.875 (56.917) Prec@5 86.250 (85.040) Epoch: [88][6440/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.6454 (1.5961) Prec@1 61.875 (56.915) Prec@5 83.125 (85.039) Epoch: [88][6450/11272] Time 0.858 (0.789) Data 0.001 (0.002) Loss 1.4565 (1.5961) Prec@1 60.000 (56.914) Prec@5 86.250 (85.039) Epoch: [88][6460/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5755 (1.5961) Prec@1 55.000 (56.914) Prec@5 84.375 (85.039) Epoch: [88][6470/11272] Time 0.733 (0.789) Data 0.001 (0.002) Loss 1.5472 (1.5960) Prec@1 57.500 (56.913) Prec@5 85.625 (85.041) Epoch: [88][6480/11272] Time 0.878 (0.789) Data 0.001 (0.002) Loss 1.4638 (1.5960) Prec@1 58.750 (56.912) Prec@5 91.250 (85.044) Epoch: [88][6490/11272] Time 0.792 (0.789) Data 0.001 (0.002) Loss 1.8635 (1.5961) Prec@1 54.375 (56.911) Prec@5 82.500 (85.042) Epoch: [88][6500/11272] Time 0.720 (0.789) Data 0.002 (0.002) Loss 1.4641 (1.5961) Prec@1 59.375 (56.912) Prec@5 85.625 (85.042) Epoch: [88][6510/11272] Time 0.754 (0.789) Data 0.002 (0.002) Loss 1.6803 (1.5960) Prec@1 57.500 (56.913) Prec@5 83.125 (85.042) Epoch: [88][6520/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.6411 (1.5960) Prec@1 58.125 (56.913) Prec@5 87.500 (85.044) Epoch: [88][6530/11272] Time 0.828 (0.789) Data 0.002 (0.002) Loss 1.8595 (1.5960) Prec@1 51.875 (56.910) Prec@5 78.750 (85.043) Epoch: [88][6540/11272] Time 0.738 (0.789) Data 0.001 (0.002) Loss 1.4201 (1.5961) Prec@1 61.250 (56.909) Prec@5 86.875 (85.043) Epoch: [88][6550/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.6468 (1.5960) Prec@1 56.875 (56.910) Prec@5 85.625 (85.044) Epoch: [88][6560/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.5968 (1.5961) Prec@1 60.000 (56.910) Prec@5 84.375 (85.044) Epoch: [88][6570/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 1.6213 (1.5961) Prec@1 52.500 (56.910) Prec@5 85.625 (85.043) Epoch: [88][6580/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.4825 (1.5961) Prec@1 61.875 (56.912) Prec@5 88.125 (85.043) Epoch: [88][6590/11272] Time 0.876 (0.789) Data 0.001 (0.002) Loss 1.7109 (1.5960) Prec@1 54.375 (56.914) Prec@5 83.750 (85.043) Epoch: [88][6600/11272] Time 0.893 (0.789) Data 0.002 (0.002) Loss 1.5503 (1.5960) Prec@1 58.750 (56.913) Prec@5 87.500 (85.043) Epoch: [88][6610/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.8302 (1.5960) Prec@1 51.875 (56.915) Prec@5 81.250 (85.044) Epoch: [88][6620/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.6422 (1.5960) Prec@1 56.875 (56.915) Prec@5 84.375 (85.043) Epoch: [88][6630/11272] Time 0.828 (0.789) Data 0.001 (0.002) Loss 1.7905 (1.5960) Prec@1 54.375 (56.917) Prec@5 81.875 (85.045) Epoch: [88][6640/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.5276 (1.5960) Prec@1 60.000 (56.915) Prec@5 86.875 (85.043) Epoch: [88][6650/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4003 (1.5961) Prec@1 59.375 (56.917) Prec@5 88.125 (85.041) Epoch: [88][6660/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.4220 (1.5961) Prec@1 61.875 (56.915) Prec@5 88.125 (85.041) Epoch: [88][6670/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.4251 (1.5960) Prec@1 60.000 (56.918) Prec@5 86.875 (85.042) Epoch: [88][6680/11272] Time 0.812 (0.789) Data 0.001 (0.002) Loss 1.8789 (1.5960) Prec@1 53.750 (56.917) Prec@5 79.375 (85.040) Epoch: [88][6690/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.6810 (1.5961) Prec@1 55.625 (56.915) Prec@5 86.250 (85.040) Epoch: [88][6700/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.5934 (1.5962) Prec@1 56.875 (56.914) Prec@5 82.500 (85.038) Epoch: [88][6710/11272] Time 0.804 (0.789) Data 0.001 (0.002) Loss 1.4105 (1.5962) Prec@1 61.875 (56.914) Prec@5 88.750 (85.037) Epoch: [88][6720/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.3592 (1.5962) Prec@1 62.500 (56.913) Prec@5 90.000 (85.038) Epoch: [88][6730/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5028 (1.5962) Prec@1 59.375 (56.911) Prec@5 90.625 (85.037) Epoch: [88][6740/11272] Time 0.896 (0.789) Data 0.002 (0.002) Loss 1.5319 (1.5962) Prec@1 55.625 (56.912) Prec@5 87.500 (85.035) Epoch: [88][6750/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.9149 (1.5962) Prec@1 51.875 (56.912) Prec@5 81.250 (85.036) Epoch: [88][6760/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.3949 (1.5961) Prec@1 63.750 (56.914) Prec@5 86.250 (85.037) Epoch: [88][6770/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.5007 (1.5960) Prec@1 58.750 (56.916) Prec@5 85.000 (85.038) Epoch: [88][6780/11272] Time 0.875 (0.789) Data 0.002 (0.002) Loss 1.7009 (1.5961) Prec@1 55.000 (56.916) Prec@5 83.750 (85.037) Epoch: [88][6790/11272] Time 0.803 (0.789) Data 0.001 (0.002) Loss 1.2669 (1.5960) Prec@1 62.500 (56.917) Prec@5 91.250 (85.037) Epoch: [88][6800/11272] Time 0.706 (0.789) Data 0.002 (0.002) Loss 1.6114 (1.5961) Prec@1 55.625 (56.916) Prec@5 85.625 (85.037) Epoch: [88][6810/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.5131 (1.5962) Prec@1 58.750 (56.914) Prec@5 86.250 (85.036) Epoch: [88][6820/11272] Time 0.877 (0.789) Data 0.001 (0.002) Loss 1.5874 (1.5962) Prec@1 55.000 (56.915) Prec@5 83.750 (85.036) Epoch: [88][6830/11272] Time 0.858 (0.789) Data 0.002 (0.002) Loss 1.6115 (1.5962) Prec@1 57.500 (56.914) Prec@5 86.875 (85.036) Epoch: [88][6840/11272] Time 0.697 (0.789) Data 0.001 (0.002) Loss 1.7734 (1.5963) Prec@1 56.250 (56.911) Prec@5 80.625 (85.031) Epoch: [88][6850/11272] Time 0.880 (0.789) Data 0.001 (0.002) Loss 1.4872 (1.5964) Prec@1 60.625 (56.912) Prec@5 86.250 (85.029) Epoch: [88][6860/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.4758 (1.5963) Prec@1 60.625 (56.911) Prec@5 86.875 (85.031) Epoch: [88][6870/11272] Time 0.710 (0.789) Data 0.001 (0.002) Loss 1.7162 (1.5964) Prec@1 60.625 (56.912) Prec@5 84.375 (85.031) Epoch: [88][6880/11272] Time 0.753 (0.789) Data 0.003 (0.002) Loss 1.5452 (1.5964) Prec@1 55.000 (56.911) Prec@5 88.750 (85.031) Epoch: [88][6890/11272] Time 0.875 (0.789) Data 0.001 (0.002) Loss 1.5723 (1.5964) Prec@1 57.500 (56.910) Prec@5 85.625 (85.032) Epoch: [88][6900/11272] Time 0.842 (0.789) Data 0.001 (0.002) Loss 1.6247 (1.5964) Prec@1 55.625 (56.907) Prec@5 80.625 (85.032) Epoch: [88][6910/11272] Time 0.699 (0.789) Data 0.001 (0.002) Loss 1.6096 (1.5964) Prec@1 57.500 (56.905) Prec@5 86.875 (85.032) Epoch: [88][6920/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.3620 (1.5964) Prec@1 63.750 (56.909) Prec@5 89.375 (85.033) Epoch: [88][6930/11272] Time 0.878 (0.789) Data 0.002 (0.002) Loss 1.6608 (1.5964) Prec@1 56.875 (56.909) Prec@5 80.625 (85.033) Epoch: [88][6940/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.7323 (1.5965) Prec@1 50.000 (56.905) Prec@5 80.000 (85.032) Epoch: [88][6950/11272] Time 0.705 (0.789) Data 0.001 (0.002) Loss 1.6831 (1.5965) Prec@1 53.750 (56.907) Prec@5 84.375 (85.032) Epoch: [88][6960/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.5409 (1.5965) Prec@1 61.875 (56.907) Prec@5 85.625 (85.033) Epoch: [88][6970/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.8449 (1.5966) Prec@1 48.125 (56.904) Prec@5 80.000 (85.031) Epoch: [88][6980/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.7299 (1.5966) Prec@1 54.375 (56.904) Prec@5 82.500 (85.031) Epoch: [88][6990/11272] Time 0.724 (0.789) Data 0.002 (0.002) Loss 1.4939 (1.5966) Prec@1 61.250 (56.904) Prec@5 85.625 (85.033) Epoch: [88][7000/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.6880 (1.5966) Prec@1 60.000 (56.905) Prec@5 83.750 (85.032) Epoch: [88][7010/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.5477 (1.5966) Prec@1 58.125 (56.905) Prec@5 85.000 (85.031) Epoch: [88][7020/11272] Time 0.701 (0.790) Data 0.002 (0.002) Loss 1.6659 (1.5968) Prec@1 55.000 (56.900) Prec@5 85.625 (85.026) Epoch: [88][7030/11272] Time 0.811 (0.790) Data 0.001 (0.002) Loss 1.6561 (1.5968) Prec@1 52.500 (56.899) Prec@5 86.250 (85.026) Epoch: [88][7040/11272] Time 0.875 (0.790) Data 0.002 (0.002) Loss 1.6857 (1.5969) Prec@1 60.000 (56.898) Prec@5 81.250 (85.023) Epoch: [88][7050/11272] Time 0.820 (0.790) Data 0.002 (0.002) Loss 1.7263 (1.5969) Prec@1 53.750 (56.897) Prec@5 78.125 (85.022) Epoch: [88][7060/11272] Time 0.746 (0.789) Data 0.001 (0.002) Loss 1.8306 (1.5971) Prec@1 50.000 (56.892) Prec@5 85.000 (85.020) Epoch: [88][7070/11272] Time 0.742 (0.789) Data 0.002 (0.002) Loss 1.8737 (1.5971) Prec@1 48.750 (56.892) Prec@5 79.375 (85.020) Epoch: [88][7080/11272] Time 0.872 (0.789) Data 0.001 (0.002) Loss 1.6734 (1.5971) Prec@1 55.000 (56.891) Prec@5 84.375 (85.021) Epoch: [88][7090/11272] Time 0.810 (0.789) Data 0.002 (0.002) Loss 1.5013 (1.5972) Prec@1 58.750 (56.891) Prec@5 88.125 (85.021) Epoch: [88][7100/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.7219 (1.5971) Prec@1 48.750 (56.890) Prec@5 84.375 (85.023) Epoch: [88][7110/11272] Time 0.875 (0.789) Data 0.001 (0.002) Loss 1.4478 (1.5971) Prec@1 53.750 (56.888) Prec@5 89.375 (85.024) Epoch: [88][7120/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.5155 (1.5972) Prec@1 57.500 (56.887) Prec@5 86.250 (85.024) Epoch: [88][7130/11272] Time 0.767 (0.789) Data 0.002 (0.002) Loss 1.6490 (1.5971) Prec@1 60.625 (56.889) Prec@5 85.000 (85.025) Epoch: [88][7140/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.5215 (1.5971) Prec@1 55.000 (56.888) Prec@5 87.500 (85.025) Epoch: [88][7150/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 1.6876 (1.5971) Prec@1 56.250 (56.886) Prec@5 83.750 (85.024) Epoch: [88][7160/11272] Time 0.837 (0.789) Data 0.002 (0.002) Loss 1.4589 (1.5971) Prec@1 56.875 (56.888) Prec@5 85.000 (85.026) Epoch: [88][7170/11272] Time 0.774 (0.789) Data 0.002 (0.002) Loss 1.4065 (1.5971) Prec@1 60.000 (56.888) Prec@5 87.500 (85.027) Epoch: [88][7180/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.5585 (1.5971) Prec@1 55.625 (56.887) Prec@5 85.625 (85.027) Epoch: [88][7190/11272] Time 0.853 (0.789) Data 0.002 (0.002) Loss 1.7699 (1.5972) Prec@1 54.375 (56.886) Prec@5 79.375 (85.025) Epoch: [88][7200/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.5810 (1.5973) Prec@1 59.375 (56.884) Prec@5 86.875 (85.026) Epoch: [88][7210/11272] Time 0.751 (0.789) Data 0.002 (0.002) Loss 1.6860 (1.5973) Prec@1 58.750 (56.882) Prec@5 79.375 (85.024) Epoch: [88][7220/11272] Time 0.734 (0.789) Data 0.002 (0.002) Loss 1.8524 (1.5974) Prec@1 50.625 (56.880) Prec@5 80.625 (85.022) Epoch: [88][7230/11272] Time 0.789 (0.789) Data 0.001 (0.002) Loss 1.4868 (1.5973) Prec@1 58.750 (56.881) Prec@5 86.250 (85.023) Epoch: [88][7240/11272] Time 0.752 (0.789) Data 0.003 (0.002) Loss 1.4565 (1.5973) Prec@1 61.875 (56.880) Prec@5 87.500 (85.022) Epoch: [88][7250/11272] Time 0.729 (0.789) Data 0.001 (0.002) Loss 1.7592 (1.5974) Prec@1 56.875 (56.880) Prec@5 81.250 (85.021) Epoch: [88][7260/11272] Time 0.879 (0.789) Data 0.001 (0.002) Loss 1.4871 (1.5974) Prec@1 60.000 (56.879) Prec@5 91.250 (85.022) Epoch: [88][7270/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 1.4789 (1.5973) Prec@1 59.375 (56.881) Prec@5 87.500 (85.022) Epoch: [88][7280/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.4512 (1.5973) Prec@1 61.250 (56.879) Prec@5 86.250 (85.024) Epoch: [88][7290/11272] Time 0.749 (0.789) Data 0.002 (0.002) Loss 1.4350 (1.5974) Prec@1 58.750 (56.875) Prec@5 88.750 (85.022) Epoch: [88][7300/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.5690 (1.5974) Prec@1 55.625 (56.874) Prec@5 85.625 (85.021) Epoch: [88][7310/11272] Time 0.965 (0.789) Data 0.002 (0.002) Loss 1.6559 (1.5974) Prec@1 54.375 (56.873) Prec@5 84.375 (85.022) Epoch: [88][7320/11272] Time 0.708 (0.789) Data 0.001 (0.002) Loss 1.7243 (1.5973) Prec@1 53.750 (56.875) Prec@5 82.500 (85.022) Epoch: [88][7330/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.5499 (1.5974) Prec@1 57.500 (56.875) Prec@5 88.125 (85.020) Epoch: [88][7340/11272] Time 0.879 (0.789) Data 0.001 (0.002) Loss 1.6124 (1.5974) Prec@1 57.500 (56.875) Prec@5 88.125 (85.020) Epoch: [88][7350/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.8105 (1.5974) Prec@1 53.750 (56.875) Prec@5 81.875 (85.020) Epoch: [88][7360/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.7390 (1.5974) Prec@1 53.750 (56.872) Prec@5 85.000 (85.022) Epoch: [88][7370/11272] Time 0.808 (0.789) Data 0.001 (0.002) Loss 1.7002 (1.5974) Prec@1 59.375 (56.873) Prec@5 86.250 (85.023) Epoch: [88][7380/11272] Time 0.887 (0.789) Data 0.002 (0.002) Loss 1.6171 (1.5975) Prec@1 55.000 (56.872) Prec@5 81.875 (85.021) Epoch: [88][7390/11272] Time 0.730 (0.789) Data 0.002 (0.002) Loss 1.8829 (1.5974) Prec@1 50.000 (56.873) Prec@5 83.750 (85.022) Epoch: [88][7400/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.5245 (1.5975) Prec@1 60.000 (56.871) Prec@5 87.500 (85.022) Epoch: [88][7410/11272] Time 0.861 (0.789) Data 0.003 (0.002) Loss 1.6297 (1.5975) Prec@1 51.250 (56.866) Prec@5 84.375 (85.020) Epoch: [88][7420/11272] Time 0.887 (0.789) Data 0.002 (0.002) Loss 1.5437 (1.5976) Prec@1 62.500 (56.867) Prec@5 83.750 (85.020) Epoch: [88][7430/11272] Time 0.741 (0.789) Data 0.002 (0.002) Loss 1.6399 (1.5976) Prec@1 60.000 (56.869) Prec@5 82.500 (85.020) Epoch: [88][7440/11272] Time 0.750 (0.789) Data 0.001 (0.002) Loss 1.7438 (1.5977) Prec@1 50.625 (56.867) Prec@5 84.375 (85.018) Epoch: [88][7450/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.6586 (1.5976) Prec@1 52.500 (56.869) Prec@5 82.500 (85.020) Epoch: [88][7460/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.5211 (1.5975) Prec@1 58.125 (56.870) Prec@5 86.250 (85.020) Epoch: [88][7470/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.6594 (1.5976) Prec@1 55.625 (56.867) Prec@5 85.000 (85.019) Epoch: [88][7480/11272] Time 0.707 (0.789) Data 0.002 (0.002) Loss 1.6876 (1.5976) Prec@1 53.125 (56.867) Prec@5 83.125 (85.019) Epoch: [88][7490/11272] Time 0.829 (0.789) Data 0.002 (0.002) Loss 1.6819 (1.5976) Prec@1 55.625 (56.868) Prec@5 84.375 (85.020) Epoch: [88][7500/11272] Time 0.839 (0.789) Data 0.002 (0.002) Loss 1.4782 (1.5976) Prec@1 61.875 (56.869) Prec@5 85.625 (85.019) Epoch: [88][7510/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.4288 (1.5976) Prec@1 61.250 (56.868) Prec@5 88.750 (85.020) Epoch: [88][7520/11272] Time 0.844 (0.789) Data 0.001 (0.002) Loss 1.8662 (1.5976) Prec@1 51.875 (56.867) Prec@5 82.500 (85.021) Epoch: [88][7530/11272] Time 0.851 (0.789) Data 0.002 (0.002) Loss 1.5752 (1.5976) Prec@1 55.625 (56.869) Prec@5 85.625 (85.021) Epoch: [88][7540/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.5461 (1.5975) Prec@1 53.750 (56.870) Prec@5 85.625 (85.021) Epoch: [88][7550/11272] Time 0.779 (0.789) Data 0.001 (0.002) Loss 1.6853 (1.5975) Prec@1 53.750 (56.869) Prec@5 85.000 (85.022) Epoch: [88][7560/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.7585 (1.5976) Prec@1 56.875 (56.870) Prec@5 80.000 (85.020) Epoch: [88][7570/11272] Time 0.876 (0.789) Data 0.002 (0.002) Loss 1.4817 (1.5976) Prec@1 61.875 (56.869) Prec@5 85.625 (85.020) Epoch: [88][7580/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.8063 (1.5975) Prec@1 52.500 (56.871) Prec@5 85.000 (85.023) Epoch: [88][7590/11272] Time 0.733 (0.789) Data 0.002 (0.002) Loss 1.5842 (1.5976) Prec@1 58.125 (56.871) Prec@5 86.875 (85.021) Epoch: [88][7600/11272] Time 0.973 (0.789) Data 0.002 (0.002) Loss 1.5686 (1.5976) Prec@1 55.000 (56.868) Prec@5 85.625 (85.023) Epoch: [88][7610/11272] Time 0.872 (0.789) Data 0.002 (0.002) Loss 1.4466 (1.5976) Prec@1 59.375 (56.867) Prec@5 90.000 (85.022) Epoch: [88][7620/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.5143 (1.5977) Prec@1 59.375 (56.865) Prec@5 87.500 (85.021) Epoch: [88][7630/11272] Time 0.895 (0.789) Data 0.001 (0.002) Loss 1.5425 (1.5977) Prec@1 58.750 (56.865) Prec@5 83.750 (85.020) Epoch: [88][7640/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.4855 (1.5978) Prec@1 56.875 (56.862) Prec@5 88.125 (85.020) Epoch: [88][7650/11272] Time 0.753 (0.789) Data 0.001 (0.002) Loss 1.6764 (1.5978) Prec@1 54.375 (56.863) Prec@5 84.375 (85.019) Epoch: [88][7660/11272] Time 0.740 (0.790) Data 0.002 (0.002) Loss 1.6666 (1.5979) Prec@1 55.000 (56.862) Prec@5 83.750 (85.019) Epoch: [88][7670/11272] Time 0.818 (0.790) Data 0.001 (0.002) Loss 1.4758 (1.5978) Prec@1 61.875 (56.863) Prec@5 86.250 (85.020) Epoch: [88][7680/11272] Time 0.832 (0.790) Data 0.001 (0.002) Loss 1.4769 (1.5979) Prec@1 54.375 (56.859) Prec@5 88.750 (85.019) Epoch: [88][7690/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.7082 (1.5980) Prec@1 53.125 (56.857) Prec@5 83.750 (85.018) Epoch: [88][7700/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.6174 (1.5979) Prec@1 50.625 (56.856) Prec@5 88.750 (85.019) Epoch: [88][7710/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 1.6484 (1.5980) Prec@1 53.750 (56.856) Prec@5 86.250 (85.019) Epoch: [88][7720/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.6001 (1.5980) Prec@1 58.125 (56.857) Prec@5 83.125 (85.019) Epoch: [88][7730/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 1.7252 (1.5981) Prec@1 54.375 (56.855) Prec@5 81.875 (85.015) Epoch: [88][7740/11272] Time 0.718 (0.790) Data 0.002 (0.002) Loss 1.7368 (1.5981) Prec@1 53.750 (56.856) Prec@5 86.875 (85.016) Epoch: [88][7750/11272] Time 0.855 (0.790) Data 0.001 (0.002) Loss 1.6529 (1.5980) Prec@1 60.000 (56.856) Prec@5 85.000 (85.018) Epoch: [88][7760/11272] Time 0.855 (0.790) Data 0.002 (0.002) Loss 1.7254 (1.5980) Prec@1 53.750 (56.856) Prec@5 82.500 (85.018) Epoch: [88][7770/11272] Time 0.757 (0.790) Data 0.002 (0.002) Loss 1.3905 (1.5979) Prec@1 61.875 (56.859) Prec@5 89.375 (85.019) Epoch: [88][7780/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.6071 (1.5979) Prec@1 55.625 (56.859) Prec@5 85.000 (85.020) Epoch: [88][7790/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.5707 (1.5978) Prec@1 59.375 (56.860) Prec@5 83.750 (85.020) Epoch: [88][7800/11272] Time 0.698 (0.790) Data 0.001 (0.002) Loss 1.5632 (1.5979) Prec@1 54.375 (56.858) Prec@5 86.875 (85.020) Epoch: [88][7810/11272] Time 0.775 (0.790) Data 0.002 (0.002) Loss 1.5475 (1.5979) Prec@1 60.625 (56.859) Prec@5 80.000 (85.018) Epoch: [88][7820/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.4990 (1.5979) Prec@1 62.500 (56.860) Prec@5 84.375 (85.018) Epoch: [88][7830/11272] Time 0.837 (0.790) Data 0.003 (0.002) Loss 1.5442 (1.5979) Prec@1 53.750 (56.858) Prec@5 86.250 (85.017) Epoch: [88][7840/11272] Time 0.701 (0.790) Data 0.001 (0.002) Loss 1.7341 (1.5980) Prec@1 54.375 (56.857) Prec@5 83.750 (85.017) Epoch: [88][7850/11272] Time 0.706 (0.790) Data 0.001 (0.002) Loss 1.4734 (1.5980) Prec@1 60.625 (56.855) Prec@5 87.500 (85.015) Epoch: [88][7860/11272] Time 0.817 (0.790) Data 0.001 (0.002) Loss 1.6998 (1.5981) Prec@1 53.125 (56.853) Prec@5 83.125 (85.013) Epoch: [88][7870/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 1.5879 (1.5981) Prec@1 58.750 (56.852) Prec@5 86.250 (85.012) Epoch: [88][7880/11272] Time 0.700 (0.790) Data 0.001 (0.002) Loss 1.6058 (1.5981) Prec@1 56.875 (56.851) Prec@5 85.000 (85.013) Epoch: [88][7890/11272] Time 0.764 (0.790) Data 0.002 (0.002) Loss 1.7810 (1.5981) Prec@1 53.750 (56.850) Prec@5 78.125 (85.013) Epoch: [88][7900/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.5259 (1.5981) Prec@1 63.750 (56.852) Prec@5 87.500 (85.014) Epoch: [88][7910/11272] Time 0.714 (0.790) Data 0.003 (0.002) Loss 1.7513 (1.5981) Prec@1 51.250 (56.851) Prec@5 83.125 (85.015) Epoch: [88][7920/11272] Time 0.737 (0.790) Data 0.002 (0.002) Loss 1.6029 (1.5981) Prec@1 50.000 (56.849) Prec@5 85.625 (85.015) Epoch: [88][7930/11272] Time 0.844 (0.790) Data 0.002 (0.002) Loss 1.6498 (1.5982) Prec@1 55.625 (56.847) Prec@5 82.500 (85.013) Epoch: [88][7940/11272] Time 0.847 (0.790) Data 0.002 (0.002) Loss 1.4371 (1.5983) Prec@1 63.125 (56.845) Prec@5 88.750 (85.012) Epoch: [88][7950/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 1.6682 (1.5982) Prec@1 53.125 (56.846) Prec@5 83.750 (85.014) Epoch: [88][7960/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.7599 (1.5983) Prec@1 49.375 (56.844) Prec@5 82.500 (85.012) Epoch: [88][7970/11272] Time 0.810 (0.790) Data 0.001 (0.002) Loss 1.4674 (1.5983) Prec@1 60.625 (56.845) Prec@5 85.000 (85.010) Epoch: [88][7980/11272] Time 0.844 (0.790) Data 0.002 (0.002) Loss 1.6435 (1.5984) Prec@1 48.750 (56.842) Prec@5 82.500 (85.009) Epoch: [88][7990/11272] Time 0.726 (0.790) Data 0.002 (0.002) Loss 1.5008 (1.5984) Prec@1 62.500 (56.842) Prec@5 86.875 (85.009) Epoch: [88][8000/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 1.6341 (1.5985) Prec@1 58.750 (56.839) Prec@5 83.750 (85.009) Epoch: [88][8010/11272] Time 0.826 (0.789) Data 0.002 (0.002) Loss 1.5633 (1.5986) Prec@1 61.875 (56.838) Prec@5 88.750 (85.007) Epoch: [88][8020/11272] Time 0.806 (0.789) Data 0.001 (0.002) Loss 1.8108 (1.5986) Prec@1 56.250 (56.839) Prec@5 79.375 (85.006) Epoch: [88][8030/11272] Time 0.772 (0.790) Data 0.002 (0.002) Loss 1.5265 (1.5986) Prec@1 58.750 (56.839) Prec@5 87.500 (85.005) Epoch: [88][8040/11272] Time 0.879 (0.790) Data 0.002 (0.002) Loss 1.5266 (1.5986) Prec@1 56.875 (56.838) Prec@5 87.500 (85.005) Epoch: [88][8050/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.3142 (1.5985) Prec@1 63.125 (56.841) Prec@5 91.250 (85.007) Epoch: [88][8060/11272] Time 0.751 (0.790) Data 0.001 (0.002) Loss 1.8910 (1.5987) Prec@1 51.250 (56.839) Prec@5 80.625 (85.003) Epoch: [88][8070/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.4556 (1.5987) Prec@1 61.875 (56.838) Prec@5 86.875 (85.002) Epoch: [88][8080/11272] Time 0.872 (0.790) Data 0.002 (0.002) Loss 1.6486 (1.5988) Prec@1 50.625 (56.836) Prec@5 82.500 (85.002) Epoch: [88][8090/11272] Time 0.797 (0.790) Data 0.001 (0.002) Loss 1.5994 (1.5987) Prec@1 59.375 (56.838) Prec@5 85.000 (85.002) Epoch: [88][8100/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.8736 (1.5988) Prec@1 53.125 (56.837) Prec@5 80.625 (85.003) Epoch: [88][8110/11272] Time 0.745 (0.790) Data 0.002 (0.002) Loss 1.7068 (1.5989) Prec@1 54.375 (56.835) Prec@5 82.500 (85.001) Epoch: [88][8120/11272] Time 0.873 (0.790) Data 0.001 (0.002) Loss 1.3884 (1.5988) Prec@1 58.750 (56.835) Prec@5 89.375 (85.002) Epoch: [88][8130/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.7628 (1.5988) Prec@1 55.000 (56.835) Prec@5 82.500 (85.001) Epoch: [88][8140/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.5539 (1.5988) Prec@1 56.250 (56.836) Prec@5 87.500 (85.004) Epoch: [88][8150/11272] Time 0.728 (0.790) Data 0.003 (0.002) Loss 1.8678 (1.5987) Prec@1 52.500 (56.838) Prec@5 81.875 (85.004) Epoch: [88][8160/11272] Time 0.842 (0.790) Data 0.002 (0.002) Loss 1.6809 (1.5988) Prec@1 57.500 (56.838) Prec@5 81.875 (85.004) Epoch: [88][8170/11272] Time 0.709 (0.790) Data 0.003 (0.002) Loss 1.8460 (1.5989) Prec@1 52.500 (56.836) Prec@5 78.750 (85.001) Epoch: [88][8180/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.7199 (1.5990) Prec@1 55.625 (56.835) Prec@5 81.875 (85.001) Epoch: [88][8190/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 1.4480 (1.5990) Prec@1 63.125 (56.836) Prec@5 86.250 (85.000) Epoch: [88][8200/11272] Time 0.889 (0.790) Data 0.007 (0.002) Loss 1.6830 (1.5990) Prec@1 59.375 (56.838) Prec@5 80.625 (84.999) Epoch: [88][8210/11272] Time 0.705 (0.790) Data 0.001 (0.002) Loss 1.4027 (1.5989) Prec@1 59.375 (56.841) Prec@5 88.750 (85.000) Epoch: [88][8220/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.4342 (1.5989) Prec@1 60.625 (56.842) Prec@5 88.125 (85.001) Epoch: [88][8230/11272] Time 0.846 (0.790) Data 0.002 (0.002) Loss 1.8317 (1.5988) Prec@1 48.750 (56.842) Prec@5 80.625 (85.000) Epoch: [88][8240/11272] Time 0.905 (0.790) Data 0.002 (0.002) Loss 1.4728 (1.5989) Prec@1 61.250 (56.842) Prec@5 86.875 (85.000) Epoch: [88][8250/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.7067 (1.5989) Prec@1 55.000 (56.841) Prec@5 86.250 (85.001) Epoch: [88][8260/11272] Time 0.801 (0.790) Data 0.002 (0.002) Loss 1.5966 (1.5989) Prec@1 57.500 (56.840) Prec@5 86.875 (85.000) Epoch: [88][8270/11272] Time 0.871 (0.790) Data 0.002 (0.002) Loss 1.5304 (1.5990) Prec@1 54.375 (56.838) Prec@5 86.875 (84.999) Epoch: [88][8280/11272] Time 0.931 (0.790) Data 0.001 (0.002) Loss 1.5427 (1.5990) Prec@1 56.875 (56.836) Prec@5 90.000 (85.001) Epoch: [88][8290/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.7610 (1.5992) Prec@1 55.000 (56.836) Prec@5 81.875 (84.999) Epoch: [88][8300/11272] Time 0.870 (0.790) Data 0.001 (0.002) Loss 1.7645 (1.5992) Prec@1 53.750 (56.835) Prec@5 82.500 (84.998) Epoch: [88][8310/11272] Time 0.818 (0.790) Data 0.001 (0.002) Loss 1.5104 (1.5992) Prec@1 58.750 (56.834) Prec@5 88.125 (84.999) Epoch: [88][8320/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.6377 (1.5991) Prec@1 50.000 (56.836) Prec@5 85.000 (85.000) Epoch: [88][8330/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.5840 (1.5992) Prec@1 61.250 (56.835) Prec@5 85.625 (84.999) Epoch: [88][8340/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.5250 (1.5992) Prec@1 58.750 (56.838) Prec@5 85.000 (85.000) Epoch: [88][8350/11272] Time 0.808 (0.790) Data 0.001 (0.002) Loss 1.6453 (1.5991) Prec@1 58.750 (56.837) Prec@5 82.500 (85.001) Epoch: [88][8360/11272] Time 0.700 (0.790) Data 0.002 (0.002) Loss 1.4817 (1.5991) Prec@1 53.750 (56.837) Prec@5 90.000 (85.003) Epoch: [88][8370/11272] Time 0.751 (0.790) Data 0.002 (0.002) Loss 1.6891 (1.5991) Prec@1 53.125 (56.837) Prec@5 81.875 (85.002) Epoch: [88][8380/11272] Time 0.823 (0.790) Data 0.001 (0.002) Loss 1.4706 (1.5992) Prec@1 57.500 (56.834) Prec@5 91.250 (85.001) Epoch: [88][8390/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.6879 (1.5992) Prec@1 51.250 (56.835) Prec@5 84.375 (85.002) Epoch: [88][8400/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.5656 (1.5993) Prec@1 53.125 (56.834) Prec@5 86.875 (85.000) Epoch: [88][8410/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.5833 (1.5993) Prec@1 52.500 (56.832) Prec@5 86.250 (84.999) Epoch: [88][8420/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.6002 (1.5994) Prec@1 62.500 (56.830) Prec@5 84.375 (84.997) Epoch: [88][8430/11272] Time 0.789 (0.790) Data 0.001 (0.002) Loss 1.8910 (1.5995) Prec@1 58.750 (56.829) Prec@5 81.875 (84.996) Epoch: [88][8440/11272] Time 0.757 (0.790) Data 0.002 (0.002) Loss 1.4510 (1.5995) Prec@1 59.375 (56.828) Prec@5 88.750 (84.997) Epoch: [88][8450/11272] Time 0.934 (0.790) Data 0.002 (0.002) Loss 1.7498 (1.5995) Prec@1 51.250 (56.830) Prec@5 83.750 (84.998) Epoch: [88][8460/11272] Time 0.812 (0.790) Data 0.001 (0.002) Loss 1.3100 (1.5995) Prec@1 60.000 (56.831) Prec@5 90.625 (84.998) Epoch: [88][8470/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.6300 (1.5995) Prec@1 58.125 (56.831) Prec@5 82.500 (84.997) Epoch: [88][8480/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.3435 (1.5995) Prec@1 59.375 (56.831) Prec@5 90.000 (84.998) Epoch: [88][8490/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 1.5594 (1.5995) Prec@1 60.625 (56.830) Prec@5 86.250 (84.999) Epoch: [88][8500/11272] Time 0.928 (0.790) Data 0.001 (0.002) Loss 1.5909 (1.5995) Prec@1 58.125 (56.828) Prec@5 85.000 (85.000) Epoch: [88][8510/11272] Time 0.745 (0.790) Data 0.002 (0.002) Loss 1.4798 (1.5994) Prec@1 57.500 (56.828) Prec@5 85.000 (84.999) Epoch: [88][8520/11272] Time 0.745 (0.790) Data 0.001 (0.002) Loss 1.5600 (1.5994) Prec@1 55.625 (56.830) Prec@5 88.125 (85.001) Epoch: [88][8530/11272] Time 0.827 (0.790) Data 0.002 (0.002) Loss 1.6426 (1.5994) Prec@1 57.500 (56.830) Prec@5 85.000 (85.001) Epoch: [88][8540/11272] Time 0.856 (0.790) Data 0.002 (0.002) Loss 1.6368 (1.5995) Prec@1 56.250 (56.828) Prec@5 83.750 (84.999) Epoch: [88][8550/11272] Time 0.706 (0.790) Data 0.001 (0.002) Loss 1.4327 (1.5995) Prec@1 60.000 (56.827) Prec@5 89.375 (84.999) Epoch: [88][8560/11272] Time 0.749 (0.790) Data 0.001 (0.002) Loss 1.5014 (1.5995) Prec@1 60.000 (56.826) Prec@5 85.625 (84.999) Epoch: [88][8570/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.4157 (1.5994) Prec@1 58.750 (56.827) Prec@5 89.375 (84.999) Epoch: [88][8580/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.5483 (1.5994) Prec@1 56.250 (56.829) Prec@5 87.500 (85.000) Epoch: [88][8590/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.7468 (1.5994) Prec@1 53.750 (56.828) Prec@5 83.125 (85.001) Epoch: [88][8600/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.4843 (1.5995) Prec@1 58.125 (56.826) Prec@5 87.500 (85.001) Epoch: [88][8610/11272] Time 0.840 (0.789) Data 0.002 (0.002) Loss 1.5028 (1.5994) Prec@1 60.625 (56.827) Prec@5 85.625 (85.001) Epoch: [88][8620/11272] Time 0.779 (0.790) Data 0.001 (0.002) Loss 1.7666 (1.5995) Prec@1 56.875 (56.827) Prec@5 84.375 (84.999) Epoch: [88][8630/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.8326 (1.5996) Prec@1 46.250 (56.826) Prec@5 79.375 (84.998) Epoch: [88][8640/11272] Time 0.910 (0.790) Data 0.001 (0.002) Loss 1.8168 (1.5996) Prec@1 54.375 (56.826) Prec@5 85.625 (84.999) Epoch: [88][8650/11272] Time 0.967 (0.790) Data 0.001 (0.002) Loss 1.7305 (1.5997) Prec@1 58.125 (56.824) Prec@5 81.875 (84.997) Epoch: [88][8660/11272] Time 0.715 (0.789) Data 0.002 (0.002) Loss 1.5810 (1.5997) Prec@1 59.375 (56.823) Prec@5 85.000 (84.997) Epoch: [88][8670/11272] Time 0.740 (0.790) Data 0.002 (0.002) Loss 1.6101 (1.5998) Prec@1 57.500 (56.822) Prec@5 85.000 (84.995) Epoch: [88][8680/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.4062 (1.5998) Prec@1 55.625 (56.820) Prec@5 88.750 (84.994) Epoch: [88][8690/11272] Time 0.829 (0.790) Data 0.002 (0.002) Loss 1.5926 (1.5998) Prec@1 56.875 (56.821) Prec@5 83.125 (84.993) Epoch: [88][8700/11272] Time 0.708 (0.790) Data 0.002 (0.002) Loss 1.6470 (1.5998) Prec@1 57.500 (56.822) Prec@5 83.125 (84.994) Epoch: [88][8710/11272] Time 0.880 (0.790) Data 0.001 (0.002) Loss 1.6795 (1.5998) Prec@1 52.500 (56.821) Prec@5 84.375 (84.993) Epoch: [88][8720/11272] Time 0.881 (0.790) Data 0.001 (0.002) Loss 1.5646 (1.5997) Prec@1 57.500 (56.824) Prec@5 83.750 (84.994) Epoch: [88][8730/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.4847 (1.5997) Prec@1 60.000 (56.824) Prec@5 86.875 (84.994) Epoch: [88][8740/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.6113 (1.5997) Prec@1 56.875 (56.825) Prec@5 81.250 (84.995) Epoch: [88][8750/11272] Time 0.920 (0.789) Data 0.001 (0.002) Loss 1.4378 (1.5997) Prec@1 63.125 (56.825) Prec@5 87.500 (84.994) Epoch: [88][8760/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.6543 (1.5997) Prec@1 58.750 (56.826) Prec@5 84.375 (84.994) Epoch: [88][8770/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.8132 (1.5997) Prec@1 58.125 (56.827) Prec@5 80.000 (84.994) Epoch: [88][8780/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.5618 (1.5998) Prec@1 56.875 (56.825) Prec@5 82.500 (84.991) Epoch: [88][8790/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.7649 (1.5999) Prec@1 53.125 (56.824) Prec@5 81.875 (84.990) Epoch: [88][8800/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.8042 (1.5999) Prec@1 53.750 (56.823) Prec@5 83.125 (84.989) Epoch: [88][8810/11272] Time 0.707 (0.789) Data 0.002 (0.002) Loss 1.7048 (1.6000) Prec@1 51.250 (56.821) Prec@5 86.250 (84.989) Epoch: [88][8820/11272] Time 0.710 (0.789) Data 0.002 (0.002) Loss 1.6623 (1.6000) Prec@1 54.375 (56.822) Prec@5 85.000 (84.990) Epoch: [88][8830/11272] Time 0.859 (0.789) Data 0.001 (0.002) Loss 1.6011 (1.6000) Prec@1 58.750 (56.821) Prec@5 85.000 (84.989) Epoch: [88][8840/11272] Time 0.744 (0.789) Data 0.003 (0.002) Loss 1.7709 (1.6000) Prec@1 56.875 (56.821) Prec@5 82.500 (84.990) Epoch: [88][8850/11272] Time 0.703 (0.789) Data 0.001 (0.002) Loss 1.6546 (1.6001) Prec@1 51.875 (56.818) Prec@5 85.000 (84.988) Epoch: [88][8860/11272] Time 0.880 (0.789) Data 0.002 (0.002) Loss 1.4805 (1.6001) Prec@1 60.000 (56.817) Prec@5 87.500 (84.987) Epoch: [88][8870/11272] Time 0.886 (0.789) Data 0.002 (0.002) Loss 1.3530 (1.6001) Prec@1 63.125 (56.816) Prec@5 91.250 (84.987) Epoch: [88][8880/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.5599 (1.6002) Prec@1 58.125 (56.814) Prec@5 86.250 (84.986) Epoch: [88][8890/11272] Time 0.709 (0.789) Data 0.001 (0.002) Loss 1.4910 (1.6002) Prec@1 65.625 (56.814) Prec@5 86.875 (84.986) Epoch: [88][8900/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.4031 (1.6001) Prec@1 64.375 (56.817) Prec@5 90.625 (84.988) Epoch: [88][8910/11272] Time 0.840 (0.789) Data 0.001 (0.002) Loss 1.5951 (1.6001) Prec@1 55.000 (56.817) Prec@5 86.875 (84.987) Epoch: [88][8920/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.6886 (1.6002) Prec@1 58.125 (56.815) Prec@5 78.750 (84.986) Epoch: [88][8930/11272] Time 0.724 (0.789) Data 0.002 (0.002) Loss 1.7863 (1.6002) Prec@1 51.875 (56.815) Prec@5 83.750 (84.985) Epoch: [88][8940/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.7353 (1.6003) Prec@1 55.000 (56.812) Prec@5 82.500 (84.983) Epoch: [88][8950/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.4714 (1.6003) Prec@1 61.250 (56.811) Prec@5 89.375 (84.984) Epoch: [88][8960/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.8837 (1.6003) Prec@1 53.125 (56.811) Prec@5 78.125 (84.983) Epoch: [88][8970/11272] Time 0.848 (0.789) Data 0.001 (0.002) Loss 1.6044 (1.6003) Prec@1 57.500 (56.812) Prec@5 82.500 (84.982) Epoch: [88][8980/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 1.8008 (1.6004) Prec@1 51.250 (56.812) Prec@5 80.625 (84.981) Epoch: [88][8990/11272] Time 0.739 (0.789) Data 0.001 (0.002) Loss 1.5776 (1.6003) Prec@1 61.250 (56.812) Prec@5 84.375 (84.982) Epoch: [88][9000/11272] Time 0.719 (0.789) Data 0.002 (0.002) Loss 1.7560 (1.6003) Prec@1 54.375 (56.812) Prec@5 81.250 (84.981) Epoch: [88][9010/11272] Time 0.846 (0.789) Data 0.002 (0.002) Loss 1.5993 (1.6003) Prec@1 56.875 (56.812) Prec@5 86.875 (84.982) Epoch: [88][9020/11272] Time 0.828 (0.789) Data 0.004 (0.002) Loss 1.4574 (1.6003) Prec@1 57.500 (56.812) Prec@5 88.125 (84.982) Epoch: [88][9030/11272] Time 0.716 (0.789) Data 0.001 (0.002) Loss 1.6511 (1.6003) Prec@1 52.500 (56.811) Prec@5 86.250 (84.983) Epoch: [88][9040/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 1.4129 (1.6004) Prec@1 60.000 (56.809) Prec@5 85.625 (84.981) Epoch: [88][9050/11272] Time 0.806 (0.789) Data 0.001 (0.002) Loss 1.5424 (1.6004) Prec@1 55.625 (56.809) Prec@5 88.125 (84.980) Epoch: [88][9060/11272] Time 0.898 (0.789) Data 0.001 (0.002) Loss 1.4589 (1.6004) Prec@1 58.125 (56.811) Prec@5 88.750 (84.981) Epoch: [88][9070/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.5753 (1.6005) Prec@1 59.375 (56.809) Prec@5 85.000 (84.980) Epoch: [88][9080/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4093 (1.6006) Prec@1 61.875 (56.808) Prec@5 86.875 (84.978) Epoch: [88][9090/11272] Time 0.845 (0.789) Data 0.002 (0.002) Loss 1.5058 (1.6006) Prec@1 52.500 (56.807) Prec@5 88.125 (84.978) Epoch: [88][9100/11272] Time 0.716 (0.789) Data 0.003 (0.002) Loss 1.6916 (1.6007) Prec@1 55.625 (56.805) Prec@5 83.750 (84.975) Epoch: [88][9110/11272] Time 0.760 (0.789) Data 0.002 (0.002) Loss 1.7258 (1.6007) Prec@1 51.875 (56.807) Prec@5 79.375 (84.975) Epoch: [88][9120/11272] Time 0.830 (0.789) Data 0.001 (0.002) Loss 1.6954 (1.6006) Prec@1 53.750 (56.807) Prec@5 83.125 (84.974) Epoch: [88][9130/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.5554 (1.6007) Prec@1 55.625 (56.806) Prec@5 89.375 (84.973) Epoch: [88][9140/11272] Time 0.715 (0.789) Data 0.002 (0.002) Loss 1.4740 (1.6007) Prec@1 58.750 (56.806) Prec@5 89.375 (84.974) Epoch: [88][9150/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.8805 (1.6006) Prec@1 54.375 (56.807) Prec@5 81.250 (84.976) Epoch: [88][9160/11272] Time 0.871 (0.789) Data 0.002 (0.002) Loss 1.5828 (1.6006) Prec@1 58.125 (56.808) Prec@5 83.750 (84.976) Epoch: [88][9170/11272] Time 0.818 (0.789) Data 0.002 (0.002) Loss 1.6101 (1.6005) Prec@1 60.000 (56.808) Prec@5 85.000 (84.976) Epoch: [88][9180/11272] Time 0.720 (0.789) Data 0.002 (0.002) Loss 1.7606 (1.6006) Prec@1 55.625 (56.808) Prec@5 80.000 (84.976) Epoch: [88][9190/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.8018 (1.6006) Prec@1 53.750 (56.807) Prec@5 82.500 (84.976) Epoch: [88][9200/11272] Time 0.925 (0.789) Data 0.001 (0.002) Loss 1.6634 (1.6007) Prec@1 54.375 (56.805) Prec@5 81.250 (84.975) Epoch: [88][9210/11272] Time 0.832 (0.789) Data 0.002 (0.002) Loss 1.6911 (1.6006) Prec@1 51.250 (56.805) Prec@5 83.125 (84.976) Epoch: [88][9220/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.7918 (1.6007) Prec@1 46.875 (56.803) Prec@5 83.750 (84.976) Epoch: [88][9230/11272] Time 0.813 (0.789) Data 0.002 (0.002) Loss 1.5081 (1.6006) Prec@1 53.750 (56.802) Prec@5 92.500 (84.978) Epoch: [88][9240/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.5748 (1.6006) Prec@1 61.250 (56.801) Prec@5 83.750 (84.977) Epoch: [88][9250/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.6493 (1.6007) Prec@1 53.125 (56.801) Prec@5 85.000 (84.977) Epoch: [88][9260/11272] Time 0.752 (0.789) Data 0.001 (0.002) Loss 1.6813 (1.6007) Prec@1 54.375 (56.801) Prec@5 86.250 (84.977) Epoch: [88][9270/11272] Time 0.873 (0.789) Data 0.002 (0.002) Loss 1.7155 (1.6006) Prec@1 54.375 (56.801) Prec@5 86.250 (84.978) Epoch: [88][9280/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.6041 (1.6006) Prec@1 53.125 (56.800) Prec@5 83.750 (84.978) Epoch: [88][9290/11272] Time 0.791 (0.789) Data 0.002 (0.002) Loss 1.6262 (1.6006) Prec@1 51.875 (56.800) Prec@5 85.625 (84.979) Epoch: [88][9300/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.4572 (1.6005) Prec@1 55.625 (56.801) Prec@5 86.875 (84.980) Epoch: [88][9310/11272] Time 0.819 (0.789) Data 0.001 (0.002) Loss 1.6660 (1.6006) Prec@1 53.750 (56.800) Prec@5 88.125 (84.979) Epoch: [88][9320/11272] Time 0.814 (0.789) Data 0.001 (0.002) Loss 1.7028 (1.6006) Prec@1 53.125 (56.800) Prec@5 82.500 (84.979) Epoch: [88][9330/11272] Time 0.758 (0.789) Data 0.003 (0.002) Loss 1.8970 (1.6007) Prec@1 46.875 (56.798) Prec@5 78.750 (84.978) Epoch: [88][9340/11272] Time 0.745 (0.789) Data 0.002 (0.002) Loss 1.4890 (1.6007) Prec@1 58.750 (56.797) Prec@5 89.375 (84.977) Epoch: [88][9350/11272] Time 0.899 (0.789) Data 0.002 (0.002) Loss 1.7562 (1.6008) Prec@1 53.750 (56.796) Prec@5 83.125 (84.976) Epoch: [88][9360/11272] Time 0.836 (0.789) Data 0.001 (0.002) Loss 1.5811 (1.6008) Prec@1 56.250 (56.797) Prec@5 89.375 (84.977) Epoch: [88][9370/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.6144 (1.6008) Prec@1 55.625 (56.797) Prec@5 84.375 (84.977) Epoch: [88][9380/11272] Time 0.862 (0.789) Data 0.001 (0.002) Loss 1.7607 (1.6008) Prec@1 54.375 (56.797) Prec@5 83.750 (84.977) Epoch: [88][9390/11272] Time 0.870 (0.789) Data 0.002 (0.002) Loss 1.6933 (1.6008) Prec@1 53.750 (56.797) Prec@5 81.875 (84.977) Epoch: [88][9400/11272] Time 0.722 (0.789) Data 0.002 (0.002) Loss 1.7492 (1.6008) Prec@1 51.250 (56.798) Prec@5 81.250 (84.976) Epoch: [88][9410/11272] Time 0.765 (0.789) Data 0.001 (0.002) Loss 1.4265 (1.6008) Prec@1 61.875 (56.798) Prec@5 86.250 (84.976) Epoch: [88][9420/11272] Time 0.859 (0.789) Data 0.001 (0.002) Loss 1.4624 (1.6008) Prec@1 58.750 (56.799) Prec@5 91.250 (84.978) Epoch: [88][9430/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.5293 (1.6008) Prec@1 56.250 (56.799) Prec@5 87.500 (84.978) Epoch: [88][9440/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.5688 (1.6008) Prec@1 53.750 (56.797) Prec@5 83.750 (84.978) Epoch: [88][9450/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.6039 (1.6009) Prec@1 60.000 (56.795) Prec@5 81.875 (84.976) Epoch: [88][9460/11272] Time 0.878 (0.789) Data 0.001 (0.002) Loss 1.4865 (1.6009) Prec@1 61.875 (56.796) Prec@5 85.000 (84.976) Epoch: [88][9470/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.7945 (1.6008) Prec@1 50.000 (56.797) Prec@5 85.000 (84.977) Epoch: [88][9480/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.5549 (1.6009) Prec@1 55.000 (56.794) Prec@5 86.875 (84.977) Epoch: [88][9490/11272] Time 0.755 (0.789) Data 0.004 (0.002) Loss 1.5658 (1.6009) Prec@1 57.500 (56.794) Prec@5 86.250 (84.977) Epoch: [88][9500/11272] Time 0.849 (0.789) Data 0.002 (0.002) Loss 1.4996 (1.6009) Prec@1 60.000 (56.794) Prec@5 84.375 (84.977) Epoch: [88][9510/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.5664 (1.6009) Prec@1 58.125 (56.793) Prec@5 86.250 (84.977) Epoch: [88][9520/11272] Time 0.721 (0.789) Data 0.002 (0.002) Loss 1.3950 (1.6010) Prec@1 58.125 (56.792) Prec@5 90.000 (84.977) Epoch: [88][9530/11272] Time 0.861 (0.789) Data 0.001 (0.002) Loss 1.3850 (1.6010) Prec@1 64.375 (56.792) Prec@5 83.125 (84.975) Epoch: [88][9540/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.5869 (1.6010) Prec@1 58.125 (56.791) Prec@5 85.000 (84.975) Epoch: [88][9550/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.3958 (1.6010) Prec@1 63.125 (56.790) Prec@5 90.000 (84.977) Epoch: [88][9560/11272] Time 0.756 (0.789) Data 0.001 (0.002) Loss 1.4822 (1.6010) Prec@1 60.625 (56.790) Prec@5 85.000 (84.977) Epoch: [88][9570/11272] Time 0.896 (0.789) Data 0.002 (0.002) Loss 1.7987 (1.6011) Prec@1 54.375 (56.790) Prec@5 80.000 (84.976) Epoch: [88][9580/11272] Time 0.800 (0.789) Data 0.001 (0.002) Loss 1.6591 (1.6011) Prec@1 55.625 (56.791) Prec@5 85.625 (84.976) Epoch: [88][9590/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.3572 (1.6011) Prec@1 65.000 (56.792) Prec@5 90.000 (84.977) Epoch: [88][9600/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.7312 (1.6011) Prec@1 54.375 (56.791) Prec@5 85.000 (84.977) Epoch: [88][9610/11272] Time 0.884 (0.789) Data 0.002 (0.002) Loss 1.8366 (1.6011) Prec@1 54.375 (56.792) Prec@5 81.875 (84.978) Epoch: [88][9620/11272] Time 0.921 (0.789) Data 0.002 (0.002) Loss 1.5502 (1.6010) Prec@1 58.125 (56.794) Prec@5 84.375 (84.978) Epoch: [88][9630/11272] Time 0.739 (0.789) Data 0.002 (0.002) Loss 1.4552 (1.6010) Prec@1 61.875 (56.793) Prec@5 83.750 (84.977) Epoch: [88][9640/11272] Time 0.801 (0.789) Data 0.001 (0.002) Loss 1.7862 (1.6011) Prec@1 53.125 (56.790) Prec@5 83.125 (84.976) Epoch: [88][9650/11272] Time 0.880 (0.789) Data 0.002 (0.002) Loss 1.7210 (1.6010) Prec@1 51.875 (56.790) Prec@5 83.125 (84.977) Epoch: [88][9660/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.5531 (1.6010) Prec@1 54.375 (56.790) Prec@5 91.250 (84.978) Epoch: [88][9670/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.7783 (1.6010) Prec@1 48.125 (56.790) Prec@5 81.875 (84.977) Epoch: [88][9680/11272] Time 0.830 (0.789) Data 0.002 (0.002) Loss 1.6223 (1.6011) Prec@1 56.250 (56.787) Prec@5 85.000 (84.976) Epoch: [88][9690/11272] Time 0.897 (0.789) Data 0.003 (0.002) Loss 1.4940 (1.6011) Prec@1 55.000 (56.787) Prec@5 90.000 (84.976) Epoch: [88][9700/11272] Time 0.744 (0.789) Data 0.001 (0.002) Loss 1.8135 (1.6011) Prec@1 56.875 (56.789) Prec@5 80.625 (84.977) Epoch: [88][9710/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.6026 (1.6011) Prec@1 61.250 (56.789) Prec@5 86.250 (84.977) Epoch: [88][9720/11272] Time 0.814 (0.789) Data 0.002 (0.002) Loss 1.6256 (1.6011) Prec@1 56.250 (56.788) Prec@5 83.750 (84.976) Epoch: [88][9730/11272] Time 0.823 (0.789) Data 0.002 (0.002) Loss 1.3859 (1.6011) Prec@1 66.875 (56.788) Prec@5 85.625 (84.976) Epoch: [88][9740/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.6195 (1.6011) Prec@1 58.750 (56.787) Prec@5 82.500 (84.976) Epoch: [88][9750/11272] Time 0.775 (0.789) Data 0.002 (0.002) Loss 1.5203 (1.6011) Prec@1 56.875 (56.787) Prec@5 85.000 (84.977) Epoch: [88][9760/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.9572 (1.6011) Prec@1 51.250 (56.788) Prec@5 80.000 (84.977) Epoch: [88][9770/11272] Time 0.720 (0.789) Data 0.003 (0.002) Loss 1.5422 (1.6011) Prec@1 60.625 (56.787) Prec@5 88.125 (84.977) Epoch: [88][9780/11272] Time 0.756 (0.789) Data 0.002 (0.002) Loss 1.4572 (1.6011) Prec@1 60.625 (56.788) Prec@5 87.500 (84.978) Epoch: [88][9790/11272] Time 0.834 (0.789) Data 0.001 (0.002) Loss 1.4556 (1.6010) Prec@1 60.625 (56.789) Prec@5 89.375 (84.978) Epoch: [88][9800/11272] Time 0.820 (0.789) Data 0.002 (0.002) Loss 1.5442 (1.6009) Prec@1 58.125 (56.790) Prec@5 90.000 (84.980) Epoch: [88][9810/11272] Time 0.724 (0.789) Data 0.002 (0.002) Loss 1.5878 (1.6010) Prec@1 56.250 (56.791) Prec@5 88.125 (84.979) Epoch: [88][9820/11272] Time 0.734 (0.789) Data 0.001 (0.002) Loss 1.2920 (1.6010) Prec@1 62.500 (56.790) Prec@5 92.500 (84.978) Epoch: [88][9830/11272] Time 0.851 (0.789) Data 0.001 (0.002) Loss 1.6423 (1.6010) Prec@1 57.500 (56.788) Prec@5 83.750 (84.977) Epoch: [88][9840/11272] Time 0.835 (0.789) Data 0.001 (0.002) Loss 1.6976 (1.6010) Prec@1 48.125 (56.788) Prec@5 83.125 (84.978) Epoch: [88][9850/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.6445 (1.6010) Prec@1 54.375 (56.788) Prec@5 85.000 (84.978) Epoch: [88][9860/11272] Time 0.730 (0.789) Data 0.001 (0.002) Loss 1.5525 (1.6010) Prec@1 55.625 (56.787) Prec@5 86.250 (84.979) Epoch: [88][9870/11272] Time 0.862 (0.789) Data 0.002 (0.002) Loss 1.4885 (1.6010) Prec@1 59.375 (56.786) Prec@5 88.750 (84.979) Epoch: [88][9880/11272] Time 0.829 (0.789) Data 0.001 (0.002) Loss 1.6998 (1.6011) Prec@1 59.375 (56.785) Prec@5 82.500 (84.980) Epoch: [88][9890/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.4900 (1.6010) Prec@1 61.250 (56.786) Prec@5 86.875 (84.980) Epoch: [88][9900/11272] Time 0.869 (0.789) Data 0.001 (0.002) Loss 1.7031 (1.6011) Prec@1 57.500 (56.785) Prec@5 80.000 (84.979) Epoch: [88][9910/11272] Time 0.883 (0.789) Data 0.002 (0.002) Loss 1.3350 (1.6011) Prec@1 61.875 (56.783) Prec@5 89.375 (84.978) Epoch: [88][9920/11272] Time 0.716 (0.789) Data 0.002 (0.002) Loss 1.4581 (1.6011) Prec@1 62.500 (56.783) Prec@5 88.750 (84.978) Epoch: [88][9930/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.5818 (1.6011) Prec@1 53.125 (56.783) Prec@5 88.750 (84.977) Epoch: [88][9940/11272] Time 0.810 (0.789) Data 0.001 (0.002) Loss 1.5790 (1.6011) Prec@1 52.500 (56.781) Prec@5 83.750 (84.977) Epoch: [88][9950/11272] Time 0.852 (0.789) Data 0.002 (0.002) Loss 1.8771 (1.6012) Prec@1 49.375 (56.780) Prec@5 78.750 (84.976) Epoch: [88][9960/11272] Time 0.737 (0.789) Data 0.002 (0.002) Loss 1.3802 (1.6012) Prec@1 63.125 (56.780) Prec@5 85.625 (84.975) Epoch: [88][9970/11272] Time 0.736 (0.789) Data 0.002 (0.002) Loss 1.7769 (1.6013) Prec@1 53.750 (56.778) Prec@5 85.000 (84.974) Epoch: [88][9980/11272] Time 0.892 (0.789) Data 0.002 (0.002) Loss 1.4450 (1.6012) Prec@1 61.250 (56.780) Prec@5 90.000 (84.976) Epoch: [88][9990/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.5798 (1.6012) Prec@1 55.000 (56.780) Prec@5 85.625 (84.976) Epoch: [88][10000/11272] Time 0.710 (0.789) Data 0.002 (0.002) Loss 1.5285 (1.6012) Prec@1 54.375 (56.779) Prec@5 88.750 (84.976) Epoch: [88][10010/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.8469 (1.6013) Prec@1 53.750 (56.776) Prec@5 78.750 (84.974) Epoch: [88][10020/11272] Time 0.833 (0.789) Data 0.002 (0.002) Loss 1.5470 (1.6013) Prec@1 61.875 (56.776) Prec@5 85.000 (84.974) Epoch: [88][10030/11272] Time 0.723 (0.789) Data 0.003 (0.002) Loss 1.5637 (1.6013) Prec@1 56.250 (56.776) Prec@5 85.625 (84.974) Epoch: [88][10040/11272] Time 0.729 (0.789) Data 0.002 (0.002) Loss 1.5832 (1.6013) Prec@1 60.625 (56.777) Prec@5 85.000 (84.973) Epoch: [88][10050/11272] Time 0.860 (0.789) Data 0.001 (0.002) Loss 1.4872 (1.6013) Prec@1 59.375 (56.777) Prec@5 85.625 (84.974) Epoch: [88][10060/11272] Time 0.818 (0.789) Data 0.001 (0.002) Loss 1.6597 (1.6013) Prec@1 53.750 (56.776) Prec@5 85.000 (84.975) Epoch: [88][10070/11272] Time 0.710 (0.789) Data 0.001 (0.002) Loss 1.6782 (1.6013) Prec@1 53.750 (56.774) Prec@5 80.625 (84.974) Epoch: [88][10080/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.6482 (1.6013) Prec@1 56.875 (56.775) Prec@5 85.625 (84.976) Epoch: [88][10090/11272] Time 0.876 (0.789) Data 0.002 (0.002) Loss 1.4995 (1.6013) Prec@1 61.875 (56.775) Prec@5 86.250 (84.975) Epoch: [88][10100/11272] Time 0.824 (0.789) Data 0.001 (0.002) Loss 1.5617 (1.6013) Prec@1 59.375 (56.773) Prec@5 88.125 (84.975) Epoch: [88][10110/11272] Time 0.713 (0.789) Data 0.001 (0.002) Loss 1.6497 (1.6014) Prec@1 51.250 (56.771) Prec@5 83.750 (84.975) Epoch: [88][10120/11272] Time 0.719 (0.789) Data 0.001 (0.002) Loss 1.5116 (1.6013) Prec@1 57.500 (56.773) Prec@5 85.625 (84.976) Epoch: [88][10130/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.8026 (1.6014) Prec@1 57.500 (56.772) Prec@5 79.375 (84.975) Epoch: [88][10140/11272] Time 0.892 (0.789) Data 0.001 (0.002) Loss 1.4711 (1.6014) Prec@1 61.250 (56.773) Prec@5 83.750 (84.974) Epoch: [88][10150/11272] Time 0.738 (0.789) Data 0.002 (0.002) Loss 1.6735 (1.6014) Prec@1 52.500 (56.771) Prec@5 83.750 (84.974) Epoch: [88][10160/11272] Time 0.902 (0.789) Data 0.001 (0.002) Loss 1.5264 (1.6014) Prec@1 60.000 (56.771) Prec@5 84.375 (84.973) Epoch: [88][10170/11272] Time 0.828 (0.789) Data 0.002 (0.002) Loss 1.5442 (1.6014) Prec@1 59.375 (56.771) Prec@5 86.875 (84.974) Epoch: [88][10180/11272] Time 0.714 (0.789) Data 0.002 (0.002) Loss 1.9920 (1.6015) Prec@1 53.125 (56.771) Prec@5 75.000 (84.973) Epoch: [88][10190/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.4938 (1.6015) Prec@1 60.000 (56.769) Prec@5 87.500 (84.972) Epoch: [88][10200/11272] Time 0.836 (0.789) Data 0.002 (0.002) Loss 1.5163 (1.6016) Prec@1 59.375 (56.767) Prec@5 84.375 (84.971) Epoch: [88][10210/11272] Time 0.909 (0.789) Data 0.002 (0.002) Loss 1.6651 (1.6016) Prec@1 57.500 (56.766) Prec@5 83.750 (84.971) Epoch: [88][10220/11272] Time 0.757 (0.789) Data 0.002 (0.002) Loss 1.4994 (1.6016) Prec@1 63.125 (56.767) Prec@5 86.250 (84.971) Epoch: [88][10230/11272] Time 0.701 (0.789) Data 0.001 (0.002) Loss 1.8573 (1.6017) Prec@1 49.375 (56.765) Prec@5 78.750 (84.969) Epoch: [88][10240/11272] Time 0.943 (0.789) Data 0.002 (0.002) Loss 1.6232 (1.6017) Prec@1 60.000 (56.765) Prec@5 85.625 (84.969) Epoch: [88][10250/11272] Time 0.815 (0.789) Data 0.001 (0.002) Loss 1.5811 (1.6016) Prec@1 53.750 (56.765) Prec@5 85.625 (84.970) Epoch: [88][10260/11272] Time 0.726 (0.789) Data 0.002 (0.002) Loss 1.5194 (1.6016) Prec@1 59.375 (56.764) Prec@5 84.375 (84.970) Epoch: [88][10270/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.6599 (1.6017) Prec@1 56.250 (56.764) Prec@5 83.750 (84.970) Epoch: [88][10280/11272] Time 0.922 (0.789) Data 0.001 (0.002) Loss 1.6019 (1.6017) Prec@1 57.500 (56.765) Prec@5 85.625 (84.970) Epoch: [88][10290/11272] Time 0.833 (0.789) Data 0.001 (0.002) Loss 1.6601 (1.6017) Prec@1 55.625 (56.765) Prec@5 84.375 (84.970) Epoch: [88][10300/11272] Time 0.717 (0.789) Data 0.001 (0.002) Loss 1.4296 (1.6016) Prec@1 59.375 (56.766) Prec@5 86.875 (84.971) Epoch: [88][10310/11272] Time 0.806 (0.789) Data 0.001 (0.002) Loss 1.6773 (1.6016) Prec@1 51.250 (56.767) Prec@5 86.250 (84.971) Epoch: [88][10320/11272] Time 0.860 (0.789) Data 0.002 (0.002) Loss 1.5869 (1.6017) Prec@1 53.750 (56.764) Prec@5 86.250 (84.972) Epoch: [88][10330/11272] Time 0.692 (0.789) Data 0.001 (0.002) Loss 1.7272 (1.6017) Prec@1 55.000 (56.763) Prec@5 81.875 (84.971) Epoch: [88][10340/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.4313 (1.6017) Prec@1 61.875 (56.764) Prec@5 86.250 (84.972) Epoch: [88][10350/11272] Time 0.831 (0.789) Data 0.001 (0.002) Loss 1.5267 (1.6016) Prec@1 57.500 (56.763) Prec@5 86.250 (84.973) Epoch: [88][10360/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.5602 (1.6017) Prec@1 56.875 (56.762) Prec@5 85.000 (84.973) Epoch: [88][10370/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.4918 (1.6017) Prec@1 55.625 (56.761) Prec@5 87.500 (84.973) Epoch: [88][10380/11272] Time 0.713 (0.789) Data 0.002 (0.002) Loss 1.4906 (1.6016) Prec@1 59.375 (56.763) Prec@5 86.875 (84.975) Epoch: [88][10390/11272] Time 0.816 (0.789) Data 0.001 (0.002) Loss 1.7090 (1.6016) Prec@1 54.375 (56.763) Prec@5 83.125 (84.974) Epoch: [88][10400/11272] Time 0.785 (0.789) Data 0.001 (0.002) Loss 1.7522 (1.6016) Prec@1 55.000 (56.763) Prec@5 80.625 (84.975) Epoch: [88][10410/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.5613 (1.6017) Prec@1 58.750 (56.761) Prec@5 86.875 (84.975) Epoch: [88][10420/11272] Time 0.721 (0.789) Data 0.001 (0.002) Loss 1.7849 (1.6018) Prec@1 50.625 (56.762) Prec@5 81.875 (84.973) Epoch: [88][10430/11272] Time 0.835 (0.789) Data 0.002 (0.002) Loss 1.6156 (1.6018) Prec@1 58.125 (56.763) Prec@5 81.250 (84.973) Epoch: [88][10440/11272] Time 0.714 (0.789) Data 0.001 (0.002) Loss 1.7244 (1.6018) Prec@1 52.500 (56.762) Prec@5 85.000 (84.972) Epoch: [88][10450/11272] Time 0.722 (0.789) Data 0.001 (0.002) Loss 1.7212 (1.6018) Prec@1 58.750 (56.763) Prec@5 85.000 (84.971) Epoch: [88][10460/11272] Time 0.899 (0.789) Data 0.002 (0.002) Loss 1.6923 (1.6019) Prec@1 56.250 (56.762) Prec@5 82.500 (84.969) Epoch: [88][10470/11272] Time 0.822 (0.789) Data 0.001 (0.002) Loss 1.6582 (1.6019) Prec@1 48.750 (56.760) Prec@5 83.750 (84.970) Epoch: [88][10480/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.4745 (1.6020) Prec@1 54.375 (56.759) Prec@5 90.000 (84.969) Epoch: [88][10490/11272] Time 0.726 (0.789) Data 0.001 (0.002) Loss 1.7820 (1.6020) Prec@1 54.375 (56.758) Prec@5 81.250 (84.969) Epoch: [88][10500/11272] Time 0.838 (0.789) Data 0.001 (0.002) Loss 1.4706 (1.6020) Prec@1 56.250 (56.758) Prec@5 90.000 (84.969) Epoch: [88][10510/11272] Time 0.803 (0.789) Data 0.001 (0.002) Loss 1.7707 (1.6021) Prec@1 51.875 (56.755) Prec@5 82.500 (84.968) Epoch: [88][10520/11272] Time 0.728 (0.789) Data 0.002 (0.002) Loss 1.7495 (1.6021) Prec@1 57.500 (56.754) Prec@5 81.875 (84.968) Epoch: [88][10530/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.6154 (1.6021) Prec@1 56.250 (56.754) Prec@5 85.625 (84.968) Epoch: [88][10540/11272] Time 0.847 (0.789) Data 0.002 (0.002) Loss 1.6510 (1.6022) Prec@1 54.375 (56.753) Prec@5 83.125 (84.969) Epoch: [88][10550/11272] Time 0.827 (0.789) Data 0.001 (0.002) Loss 1.7550 (1.6022) Prec@1 54.375 (56.752) Prec@5 77.500 (84.968) Epoch: [88][10560/11272] Time 0.741 (0.789) Data 0.001 (0.002) Loss 1.7617 (1.6022) Prec@1 53.750 (56.749) Prec@5 82.500 (84.967) Epoch: [88][10570/11272] Time 0.876 (0.789) Data 0.001 (0.002) Loss 1.5678 (1.6023) Prec@1 60.000 (56.749) Prec@5 85.625 (84.967) Epoch: [88][10580/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.7056 (1.6023) Prec@1 54.375 (56.749) Prec@5 80.625 (84.967) Epoch: [88][10590/11272] Time 0.741 (0.789) Data 0.002 (0.002) Loss 1.7516 (1.6024) Prec@1 53.750 (56.747) Prec@5 80.625 (84.965) Epoch: [88][10600/11272] Time 0.727 (0.789) Data 0.002 (0.002) Loss 1.4750 (1.6024) Prec@1 56.875 (56.744) Prec@5 88.125 (84.965) Epoch: [88][10610/11272] Time 0.825 (0.789) Data 0.001 (0.002) Loss 1.6019 (1.6025) Prec@1 55.625 (56.743) Prec@5 86.250 (84.964) Epoch: [88][10620/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.4151 (1.6024) Prec@1 61.875 (56.744) Prec@5 88.750 (84.964) Epoch: [88][10630/11272] Time 0.755 (0.789) Data 0.002 (0.002) Loss 1.6531 (1.6025) Prec@1 57.500 (56.744) Prec@5 83.125 (84.964) Epoch: [88][10640/11272] Time 0.753 (0.789) Data 0.001 (0.002) Loss 1.4337 (1.6025) Prec@1 61.250 (56.744) Prec@5 86.250 (84.964) Epoch: [88][10650/11272] Time 0.801 (0.789) Data 0.001 (0.002) Loss 1.6415 (1.6025) Prec@1 56.250 (56.744) Prec@5 84.375 (84.963) Epoch: [88][10660/11272] Time 0.871 (0.789) Data 0.001 (0.002) Loss 1.8136 (1.6024) Prec@1 55.000 (56.749) Prec@5 80.000 (84.964) Epoch: [88][10670/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.7969 (1.6024) Prec@1 53.125 (56.748) Prec@5 78.750 (84.964) Epoch: [88][10680/11272] Time 0.702 (0.789) Data 0.002 (0.002) Loss 1.5501 (1.6024) Prec@1 56.250 (56.747) Prec@5 80.625 (84.962) Epoch: [88][10690/11272] Time 0.881 (0.789) Data 0.002 (0.002) Loss 1.6443 (1.6024) Prec@1 56.250 (56.747) Prec@5 86.250 (84.963) Epoch: [88][10700/11272] Time 0.714 (0.789) Data 0.003 (0.002) Loss 1.7327 (1.6025) Prec@1 52.500 (56.746) Prec@5 83.750 (84.960) Epoch: [88][10710/11272] Time 0.753 (0.789) Data 0.002 (0.002) Loss 1.7366 (1.6025) Prec@1 56.250 (56.746) Prec@5 81.875 (84.961) Epoch: [88][10720/11272] Time 0.864 (0.789) Data 0.001 (0.002) Loss 1.5736 (1.6025) Prec@1 55.000 (56.747) Prec@5 86.875 (84.962) Epoch: [88][10730/11272] Time 0.844 (0.789) Data 0.002 (0.002) Loss 1.6455 (1.6025) Prec@1 54.375 (56.747) Prec@5 84.375 (84.961) Epoch: [88][10740/11272] Time 0.799 (0.789) Data 0.002 (0.002) Loss 1.5849 (1.6025) Prec@1 55.000 (56.748) Prec@5 87.500 (84.961) Epoch: [88][10750/11272] Time 0.715 (0.789) Data 0.001 (0.002) Loss 1.4519 (1.6026) Prec@1 60.000 (56.746) Prec@5 86.250 (84.961) Epoch: [88][10760/11272] Time 0.884 (0.789) Data 0.002 (0.002) Loss 1.6012 (1.6026) Prec@1 57.500 (56.746) Prec@5 87.500 (84.961) Epoch: [88][10770/11272] Time 0.809 (0.789) Data 0.001 (0.002) Loss 1.9612 (1.6026) Prec@1 50.625 (56.745) Prec@5 81.250 (84.959) Epoch: [88][10780/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.3058 (1.6026) Prec@1 61.875 (56.745) Prec@5 88.750 (84.958) Epoch: [88][10790/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.6827 (1.6026) Prec@1 53.125 (56.745) Prec@5 85.625 (84.959) Epoch: [88][10800/11272] Time 0.912 (0.789) Data 0.001 (0.002) Loss 1.4500 (1.6026) Prec@1 62.500 (56.744) Prec@5 88.750 (84.959) Epoch: [88][10810/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.8475 (1.6027) Prec@1 50.000 (56.742) Prec@5 81.250 (84.958) Epoch: [88][10820/11272] Time 0.780 (0.789) Data 0.001 (0.002) Loss 1.9593 (1.6028) Prec@1 50.625 (56.739) Prec@5 80.000 (84.956) Epoch: [88][10830/11272] Time 0.852 (0.789) Data 0.001 (0.002) Loss 1.6184 (1.6028) Prec@1 55.625 (56.740) Prec@5 84.375 (84.957) Epoch: [88][10840/11272] Time 0.817 (0.789) Data 0.001 (0.002) Loss 1.6577 (1.6028) Prec@1 55.000 (56.740) Prec@5 83.750 (84.955) Epoch: [88][10850/11272] Time 0.736 (0.789) Data 0.001 (0.002) Loss 1.5825 (1.6028) Prec@1 55.625 (56.742) Prec@5 84.375 (84.957) Epoch: [88][10860/11272] Time 0.710 (0.789) Data 0.001 (0.002) Loss 1.6359 (1.6028) Prec@1 55.000 (56.740) Prec@5 84.375 (84.955) Epoch: [88][10870/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.5889 (1.6029) Prec@1 58.750 (56.739) Prec@5 87.500 (84.956) Epoch: [88][10880/11272] Time 1.010 (0.789) Data 0.001 (0.002) Loss 1.5432 (1.6028) Prec@1 56.250 (56.740) Prec@5 85.000 (84.957) Epoch: [88][10890/11272] Time 0.743 (0.789) Data 0.002 (0.002) Loss 1.7791 (1.6028) Prec@1 55.625 (56.740) Prec@5 85.625 (84.957) Epoch: [88][10900/11272] Time 0.740 (0.789) Data 0.001 (0.002) Loss 1.6921 (1.6028) Prec@1 51.875 (56.740) Prec@5 83.125 (84.958) Epoch: [88][10910/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.5468 (1.6028) Prec@1 63.125 (56.742) Prec@5 85.000 (84.957) Epoch: [88][10920/11272] Time 0.842 (0.789) Data 0.002 (0.002) Loss 1.7123 (1.6028) Prec@1 49.375 (56.741) Prec@5 83.125 (84.957) Epoch: [88][10930/11272] Time 0.724 (0.789) Data 0.001 (0.002) Loss 1.7052 (1.6029) Prec@1 55.000 (56.739) Prec@5 81.250 (84.957) Epoch: [88][10940/11272] Time 0.740 (0.789) Data 0.002 (0.002) Loss 1.6725 (1.6029) Prec@1 52.500 (56.738) Prec@5 83.750 (84.957) Epoch: [88][10950/11272] Time 0.884 (0.789) Data 0.002 (0.002) Loss 1.5458 (1.6029) Prec@1 56.875 (56.739) Prec@5 87.500 (84.957) Epoch: [88][10960/11272] Time 0.718 (0.789) Data 0.003 (0.002) Loss 1.6695 (1.6029) Prec@1 56.250 (56.739) Prec@5 82.500 (84.957) Epoch: [88][10970/11272] Time 0.720 (0.789) Data 0.001 (0.002) Loss 1.5014 (1.6030) Prec@1 61.250 (56.738) Prec@5 86.250 (84.956) Epoch: [88][10980/11272] Time 0.850 (0.789) Data 0.001 (0.002) Loss 1.6291 (1.6030) Prec@1 56.250 (56.739) Prec@5 86.875 (84.957) Epoch: [88][10990/11272] Time 0.854 (0.789) Data 0.002 (0.002) Loss 1.6455 (1.6030) Prec@1 58.750 (56.738) Prec@5 85.625 (84.956) Epoch: [88][11000/11272] Time 0.717 (0.789) Data 0.002 (0.002) Loss 1.8273 (1.6030) Prec@1 51.875 (56.738) Prec@5 81.875 (84.956) Epoch: [88][11010/11272] Time 0.725 (0.789) Data 0.001 (0.002) Loss 1.6421 (1.6029) Prec@1 53.125 (56.740) Prec@5 83.125 (84.956) Epoch: [88][11020/11272] Time 0.826 (0.789) Data 0.001 (0.002) Loss 1.7076 (1.6030) Prec@1 55.000 (56.739) Prec@5 83.750 (84.955) Epoch: [88][11030/11272] Time 0.821 (0.789) Data 0.001 (0.002) Loss 1.7094 (1.6030) Prec@1 51.875 (56.738) Prec@5 80.625 (84.957) Epoch: [88][11040/11272] Time 0.723 (0.789) Data 0.002 (0.002) Loss 1.4898 (1.6030) Prec@1 58.750 (56.738) Prec@5 84.375 (84.955) Epoch: [88][11050/11272] Time 0.718 (0.789) Data 0.002 (0.002) Loss 1.6212 (1.6030) Prec@1 62.500 (56.740) Prec@5 85.625 (84.955) Epoch: [88][11060/11272] Time 0.847 (0.789) Data 0.001 (0.002) Loss 1.4844 (1.6030) Prec@1 61.250 (56.741) Prec@5 86.875 (84.955) Epoch: [88][11070/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 1.2560 (1.6031) Prec@1 63.750 (56.740) Prec@5 88.750 (84.954) Epoch: [88][11080/11272] Time 0.732 (0.789) Data 0.002 (0.002) Loss 1.7572 (1.6031) Prec@1 55.000 (56.740) Prec@5 86.250 (84.954) Epoch: [88][11090/11272] Time 0.831 (0.789) Data 0.002 (0.002) Loss 1.6964 (1.6031) Prec@1 55.000 (56.740) Prec@5 83.125 (84.953) Epoch: [88][11100/11272] Time 0.872 (0.789) Data 0.002 (0.002) Loss 1.6302 (1.6031) Prec@1 55.000 (56.740) Prec@5 81.875 (84.953) Epoch: [88][11110/11272] Time 0.728 (0.789) Data 0.001 (0.002) Loss 1.8890 (1.6031) Prec@1 50.000 (56.741) Prec@5 83.125 (84.953) Epoch: [88][11120/11272] Time 0.718 (0.789) Data 0.001 (0.002) Loss 1.6642 (1.6031) Prec@1 55.000 (56.741) Prec@5 85.625 (84.952) Epoch: [88][11130/11272] Time 0.834 (0.789) Data 0.002 (0.002) Loss 1.5535 (1.6031) Prec@1 55.625 (56.742) Prec@5 87.500 (84.952) Epoch: [88][11140/11272] Time 0.850 (0.789) Data 0.002 (0.002) Loss 1.6041 (1.6032) Prec@1 60.000 (56.743) Prec@5 86.875 (84.951) Epoch: [88][11150/11272] Time 0.712 (0.789) Data 0.001 (0.002) Loss 1.5917 (1.6032) Prec@1 58.125 (56.743) Prec@5 86.250 (84.952) Epoch: [88][11160/11272] Time 0.711 (0.789) Data 0.002 (0.002) Loss 2.0277 (1.6031) Prec@1 50.000 (56.744) Prec@5 76.875 (84.952) Epoch: [88][11170/11272] Time 0.866 (0.789) Data 0.002 (0.002) Loss 1.6826 (1.6031) Prec@1 55.000 (56.745) Prec@5 85.625 (84.952) Epoch: [88][11180/11272] Time 0.838 (0.789) Data 0.002 (0.002) Loss 1.7815 (1.6031) Prec@1 50.625 (56.745) Prec@5 83.750 (84.952) Epoch: [88][11190/11272] Time 0.725 (0.789) Data 0.002 (0.002) Loss 1.7937 (1.6031) Prec@1 58.125 (56.746) Prec@5 80.625 (84.953) Epoch: [88][11200/11272] Time 0.708 (0.789) Data 0.002 (0.002) Loss 1.4576 (1.6031) Prec@1 64.375 (56.747) Prec@5 86.875 (84.953) Epoch: [88][11210/11272] Time 0.897 (0.789) Data 0.002 (0.002) Loss 1.5704 (1.6031) Prec@1 58.125 (56.747) Prec@5 85.625 (84.953) Epoch: [88][11220/11272] Time 0.820 (0.789) Data 0.001 (0.002) Loss 1.7803 (1.6031) Prec@1 56.250 (56.747) Prec@5 79.375 (84.953) Epoch: [88][11230/11272] Time 0.711 (0.789) Data 0.002 (0.002) Loss 1.4483 (1.6031) Prec@1 60.625 (56.746) Prec@5 87.500 (84.953) Epoch: [88][11240/11272] Time 0.832 (0.789) Data 0.001 (0.002) Loss 1.5960 (1.6031) Prec@1 57.500 (56.747) Prec@5 85.000 (84.953) Epoch: [88][11250/11272] Time 0.881 (0.789) Data 0.002 (0.002) Loss 1.7283 (1.6032) Prec@1 50.625 (56.745) Prec@5 81.250 (84.952) Epoch: [88][11260/11272] Time 0.723 (0.789) Data 0.001 (0.002) Loss 1.5533 (1.6031) Prec@1 55.000 (56.744) Prec@5 86.250 (84.953) Epoch: [88][11270/11272] Time 0.711 (0.789) Data 0.000 (0.002) Loss 1.6932 (1.6031) Prec@1 52.500 (56.743) Prec@5 81.250 (84.953) Test: [0/229] Time 3.612 (3.612) Loss 1.0823 (1.0823) Prec@1 66.250 (66.250) Prec@5 95.000 (95.000) Test: [10/229] Time 0.383 (0.887) Loss 1.1283 (1.6275) Prec@1 61.875 (56.932) Prec@5 95.625 (87.045) Test: [20/229] Time 1.412 (0.799) Loss 2.0963 (1.7100) Prec@1 45.000 (54.554) Prec@5 81.250 (85.833) Test: [30/229] Time 0.328 (0.737) Loss 1.9091 (1.6442) Prec@1 50.625 (56.855) Prec@5 83.750 (86.331) Test: [40/229] Time 1.092 (0.726) Loss 0.3816 (1.6292) Prec@1 91.875 (57.210) Prec@5 96.250 (86.524) Test: [50/229] Time 0.349 (0.710) Loss 2.0878 (1.6873) Prec@1 43.125 (55.809) Prec@5 81.875 (85.294) Test: [60/229] Time 1.352 (0.708) Loss 2.1274 (1.6809) Prec@1 40.625 (55.717) Prec@5 81.875 (85.379) Test: [70/229] Time 0.315 (0.700) Loss 1.2385 (1.6892) Prec@1 70.000 (55.563) Prec@5 88.750 (85.379) Test: [80/229] Time 0.655 (0.692) Loss 2.1257 (1.7090) Prec@1 37.500 (54.784) Prec@5 83.125 (85.224) Test: [90/229] Time 0.634 (0.693) Loss 1.3118 (1.7143) Prec@1 70.625 (54.636) Prec@5 86.875 (85.316) Test: [100/229] Time 0.426 (0.688) Loss 2.2419 (1.7124) Prec@1 46.250 (54.783) Prec@5 80.625 (85.248) Test: [110/229] Time 0.855 (0.692) Loss 1.4702 (1.6967) Prec@1 59.375 (55.017) Prec@5 84.375 (85.417) Test: [120/229] Time 0.326 (0.685) Loss 2.8074 (1.7147) Prec@1 26.875 (54.504) Prec@5 75.000 (85.165) Test: [130/229] Time 0.769 (0.688) Loss 1.1276 (1.7007) Prec@1 63.125 (54.800) Prec@5 92.500 (85.310) Test: [140/229] Time 0.501 (0.682) Loss 1.7957 (1.7120) Prec@1 51.875 (54.481) Prec@5 83.750 (85.217) Test: [150/229] Time 0.496 (0.684) Loss 1.1156 (1.7238) Prec@1 74.375 (54.193) Prec@5 87.500 (85.029) Test: [160/229] Time 0.773 (0.682) Loss 1.7866 (1.7293) Prec@1 56.250 (53.998) Prec@5 82.500 (84.984) Test: [170/229] Time 0.372 (0.682) Loss 1.5923 (1.7409) Prec@1 54.375 (53.666) Prec@5 87.500 (84.803) Test: [180/229] Time 1.022 (0.682) Loss 2.4646 (1.7479) Prec@1 36.250 (53.657) Prec@5 74.375 (84.593) Test: [190/229] Time 0.305 (0.681) Loss 1.1462 (1.7369) Prec@1 69.375 (53.982) Prec@5 93.125 (84.686) Test: [200/229] Time 1.352 (0.682) Loss 1.5928 (1.7274) Prec@1 54.375 (54.067) Prec@5 85.625 (84.894) Test: [210/229] Time 0.531 (0.679) Loss 1.0755 (1.7178) Prec@1 66.875 (54.313) Prec@5 93.125 (85.030) Test: [220/229] Time 0.873 (0.680) Loss 1.5638 (1.7090) Prec@1 57.500 (54.570) Prec@5 89.375 (85.105) * Prec@1 54.888 Prec@5 85.160 Epoch: [89][0/11272] Time 4.986 (4.986) Data 4.133 (4.133) Loss 1.6528 (1.6528) Prec@1 55.000 (55.000) Prec@5 86.875 (86.875) Epoch: [89][10/11272] Time 0.725 (1.168) Data 0.002 (0.377) Loss 1.4811 (1.5192) Prec@1 60.625 (59.489) Prec@5 88.125 (87.045) Epoch: [89][20/11272] Time 0.886 (0.999) Data 0.002 (0.198) Loss 1.4844 (1.5482) Prec@1 58.750 (58.333) Prec@5 89.375 (86.488) Epoch: [89][30/11272] Time 0.713 (0.928) Data 0.003 (0.135) Loss 1.6018 (1.5543) Prec@1 53.125 (57.964) Prec@5 80.625 (86.149) Epoch: [89][40/11272] Time 0.718 (0.893) Data 0.001 (0.102) Loss 1.5283 (1.5436) Prec@1 53.125 (58.186) Prec@5 88.750 (86.357) Epoch: [89][50/11272] Time 0.875 (0.876) Data 0.002 (0.083) Loss 1.7993 (1.5584) Prec@1 50.000 (57.917) Prec@5 80.625 (86.127) Epoch: [89][60/11272] Time 0.848 (0.860) Data 0.002 (0.069) Loss 1.8073 (1.5561) Prec@1 53.125 (58.105) Prec@5 77.500 (86.066) Epoch: [89][70/11272] Time 0.727 (0.850) Data 0.002 (0.060) Loss 1.3578 (1.5546) Prec@1 63.125 (58.275) Prec@5 90.000 (86.109) Epoch: [89][80/11272] Time 0.733 (0.843) Data 0.001 (0.053) Loss 1.6219 (1.5490) Prec@1 55.000 (58.326) Prec@5 86.875 (86.227) Epoch: [89][90/11272] Time 0.852 (0.836) Data 0.002 (0.047) Loss 1.3855 (1.5536) Prec@1 58.125 (58.283) Prec@5 90.625 (86.078) Epoch: [89][100/11272] Time 0.828 (0.831) Data 0.001 (0.042) Loss 1.6292 (1.5515) Prec@1 58.750 (58.397) Prec@5 82.500 (86.046) Epoch: [89][110/11272] Time 0.742 (0.826) Data 0.001 (0.039) Loss 1.5436 (1.5576) Prec@1 57.500 (58.148) Prec@5 84.375 (85.974) Epoch: [89][120/11272] Time 0.723 (0.824) Data 0.002 (0.036) Loss 1.7159 (1.5580) Prec@1 56.875 (58.068) Prec@5 81.250 (85.894) Epoch: [89][130/11272] Time 0.829 (0.821) Data 0.001 (0.033) Loss 1.5917 (1.5594) Prec@1 53.125 (57.920) Prec@5 87.500 (85.883) Epoch: [89][140/11272] Time 0.808 (0.818) Data 0.001 (0.031) Loss 1.3759 (1.5545) Prec@1 61.250 (57.992) Prec@5 86.250 (85.944) Epoch: [89][150/11272] Time 0.724 (0.817) Data 0.001 (0.029) Loss 1.4687 (1.5561) Prec@1 60.625 (57.964) Prec@5 88.125 (85.923) Epoch: [89][160/11272] Time 0.971 (0.816) Data 0.007 (0.027) Loss 1.6997 (1.5527) Prec@1 50.625 (58.043) Prec@5 81.875 (85.967) Epoch: [89][170/11272] Time 0.880 (0.814) Data 0.002 (0.026) Loss 1.4882 (1.5554) Prec@1 58.125 (57.986) Prec@5 85.000 (85.910) Epoch: [89][180/11272] Time 0.709 (0.812) Data 0.001 (0.024) Loss 1.5447 (1.5587) Prec@1 60.000 (57.942) Prec@5 85.000 (85.825) Epoch: [89][190/11272] Time 0.717 (0.811) Data 0.002 (0.023) Loss 1.7726 (1.5605) Prec@1 50.000 (57.860) Prec@5 83.125 (85.766) Epoch: [89][200/11272] Time 0.960 (0.810) Data 0.001 (0.022) Loss 1.5796 (1.5583) Prec@1 58.125 (57.882) Prec@5 85.625 (85.780) Epoch: [89][210/11272] Time 0.850 (0.809) Data 0.002 (0.021) Loss 1.5986 (1.5600) Prec@1 56.875 (57.855) Prec@5 85.000 (85.746) Epoch: [89][220/11272] Time 0.717 (0.806) Data 0.001 (0.020) Loss 1.3816 (1.5578) Prec@1 62.500 (57.899) Prec@5 86.875 (85.772) Epoch: [89][230/11272] Time 0.712 (0.806) Data 0.001 (0.019) Loss 1.8036 (1.5596) Prec@1 48.750 (57.844) Prec@5 83.125 (85.766) Epoch: [89][240/11272] Time 0.832 (0.805) Data 0.001 (0.019) Loss 1.6311 (1.5550) Prec@1 58.750 (57.956) Prec@5 83.750 (85.804) Epoch: [89][250/11272] Time 0.814 (0.804) Data 0.001 (0.018) Loss 1.6868 (1.5566) Prec@1 55.625 (57.923) Prec@5 84.375 (85.774) Epoch: [89][260/11272] Time 0.742 (0.804) Data 0.003 (0.017) Loss 1.6149 (1.5563) Prec@1 60.000 (57.965) Prec@5 86.875 (85.785) Epoch: [89][270/11272] Time 0.758 (0.803) Data 0.002 (0.017) Loss 1.8778 (1.5561) Prec@1 56.250 (57.994) Prec@5 76.875 (85.738) Epoch: [89][280/11272] Time 0.817 (0.803) Data 0.001 (0.016) Loss 1.6015 (1.5575) Prec@1 58.750 (57.936) Prec@5 84.375 (85.710) Epoch: [89][290/11272] Time 0.759 (0.803) Data 0.004 (0.016) Loss 1.8026 (1.5588) Prec@1 53.750 (57.889) Prec@5 80.000 (85.737) Epoch: [89][300/11272] Time 0.732 (0.803) Data 0.001 (0.015) Loss 1.4502 (1.5607) Prec@1 59.375 (57.874) Prec@5 91.875 (85.716) Epoch: [89][310/11272] Time 0.876 (0.802) Data 0.002 (0.015) Loss 1.6053 (1.5606) Prec@1 55.625 (57.884) Prec@5 83.750 (85.734) Epoch: [89][320/11272] Time 0.824 (0.801) Data 0.001 (0.014) Loss 1.5679 (1.5605) Prec@1 61.250 (57.907) Prec@5 85.625 (85.744) Epoch: [89][330/11272] Time 0.709 (0.801) Data 0.001 (0.014) Loss 1.6158 (1.5619) Prec@1 54.375 (57.863) Prec@5 86.250 (85.699) Epoch: [89][340/11272] Time 0.731 (0.801) Data 0.002 (0.014) Loss 1.4318 (1.5612) Prec@1 62.500 (57.876) Prec@5 89.375 (85.731) Epoch: [89][350/11272] Time 0.810 (0.801) Data 0.001 (0.013) Loss 1.3421 (1.5623) Prec@1 65.000 (57.835) Prec@5 90.000 (85.723) Epoch: [89][360/11272] Time 0.826 (0.801) Data 0.002 (0.013) Loss 1.7594 (1.5626) Prec@1 53.125 (57.782) Prec@5 81.250 (85.736) Epoch: [89][370/11272] Time 0.728 (0.800) Data 0.002 (0.013) Loss 1.3450 (1.5602) Prec@1 61.250 (57.820) Prec@5 89.375 (85.768) Epoch: [89][380/11272] Time 0.719 (0.800) Data 0.002 (0.012) Loss 1.3780 (1.5610) Prec@1 63.750 (57.820) Prec@5 90.625 (85.771) Epoch: [89][390/11272] Time 0.867 (0.799) Data 0.001 (0.012) Loss 1.5452 (1.5627) Prec@1 53.750 (57.767) Prec@5 88.750 (85.770) Epoch: [89][400/11272] Time 0.856 (0.800) Data 0.002 (0.012) Loss 1.7056 (1.5630) Prec@1 54.375 (57.737) Prec@5 80.625 (85.751) Epoch: [89][410/11272] Time 0.722 (0.799) Data 0.001 (0.012) Loss 1.4198 (1.5653) Prec@1 55.625 (57.704) Prec@5 86.875 (85.712) Epoch: [89][420/11272] Time 0.836 (0.799) Data 0.001 (0.011) Loss 1.4979 (1.5659) Prec@1 60.625 (57.690) Prec@5 88.125 (85.690) Epoch: [89][430/11272] Time 0.871 (0.799) Data 0.002 (0.011) Loss 1.6870 (1.5654) Prec@1 53.125 (57.716) Prec@5 85.000 (85.671) Epoch: [89][440/11272] Time 0.707 (0.799) Data 0.002 (0.011) Loss 1.6571 (1.5664) Prec@1 59.375 (57.681) Prec@5 83.125 (85.658) Epoch: [89][450/11272] Time 0.724 (0.798) Data 0.001 (0.011) Loss 1.4927 (1.5664) Prec@1 58.750 (57.675) Prec@5 86.250 (85.653) Epoch: [89][460/11272] Time 0.852 (0.798) Data 0.002 (0.011) Loss 1.4277 (1.5647) Prec@1 63.750 (57.716) Prec@5 85.000 (85.681) Epoch: [89][470/11272] Time 0.874 (0.798) Data 0.002 (0.010) Loss 1.5218 (1.5658) Prec@1 59.375 (57.683) Prec@5 82.500 (85.674) Epoch: [89][480/11272] Time 0.726 (0.798) Data 0.001 (0.010) Loss 1.8214 (1.5673) Prec@1 49.375 (57.621) Prec@5 85.000 (85.659) Epoch: [89][490/11272] Time 0.713 (0.798) Data 0.001 (0.010) Loss 1.6415 (1.5668) Prec@1 61.250 (57.646) Prec@5 83.750 (85.668) Epoch: [89][500/11272] Time 0.856 (0.798) Data 0.001 (0.010) Loss 1.5672 (1.5679) Prec@1 55.000 (57.617) Prec@5 84.375 (85.644) Epoch: [89][510/11272] Time 0.818 (0.798) Data 0.002 (0.010) Loss 1.7386 (1.5687) Prec@1 51.875 (57.604) Prec@5 81.875 (85.624) Epoch: [89][520/11272] Time 0.719 (0.797) Data 0.002 (0.009) Loss 1.7325 (1.5687) Prec@1 55.000 (57.606) Prec@5 81.250 (85.611) Epoch: [89][530/11272] Time 0.714 (0.797) Data 0.001 (0.009) Loss 1.6177 (1.5685) Prec@1 56.250 (57.594) Prec@5 85.625 (85.612) Epoch: [89][540/11272] Time 0.851 (0.797) Data 0.003 (0.009) Loss 1.7936 (1.5696) Prec@1 52.500 (57.566) Prec@5 80.625 (85.586) Epoch: [89][550/11272] Time 0.815 (0.797) Data 0.001 (0.009) Loss 1.4017 (1.5703) Prec@1 61.250 (57.537) Prec@5 88.750 (85.584) Epoch: [89][560/11272] Time 0.757 (0.797) Data 0.002 (0.009) Loss 1.3181 (1.5690) Prec@1 65.625 (57.565) Prec@5 91.250 (85.621) Epoch: [89][570/11272] Time 0.869 (0.797) Data 0.001 (0.009) Loss 1.8459 (1.5702) Prec@1 50.000 (57.531) Prec@5 80.625 (85.581) Epoch: [89][580/11272] Time 0.833 (0.797) Data 0.002 (0.009) Loss 1.6829 (1.5711) Prec@1 53.750 (57.508) Prec@5 83.750 (85.568) Epoch: [89][590/11272] Time 0.770 (0.797) Data 0.001 (0.009) Loss 1.6131 (1.5712) Prec@1 57.500 (57.523) Prec@5 84.375 (85.562) Epoch: [89][600/11272] Time 0.755 (0.797) Data 0.001 (0.008) Loss 1.4268 (1.5711) Prec@1 65.000 (57.543) Prec@5 84.375 (85.551) Epoch: [89][610/11272] Time 0.865 (0.797) Data 0.001 (0.008) Loss 1.3793 (1.5708) Prec@1 62.500 (57.550) Prec@5 88.125 (85.541) Epoch: [89][620/11272] Time 0.810 (0.797) Data 0.002 (0.008) Loss 1.5987 (1.5697) Prec@1 56.875 (57.574) Prec@5 88.125 (85.564) Epoch: [89][630/11272] Time 0.764 (0.797) Data 0.002 (0.008) Loss 1.6461 (1.5705) Prec@1 53.750 (57.552) Prec@5 86.250 (85.564) Epoch: [89][640/11272] Time 0.722 (0.797) Data 0.001 (0.008) Loss 1.3278 (1.5700) Prec@1 63.750 (57.525) Prec@5 90.625 (85.586) Epoch: [89][650/11272] Time 0.849 (0.797) Data 0.002 (0.008) Loss 1.7343 (1.5702) Prec@1 52.500 (57.517) Prec@5 85.000 (85.589) Epoch: [89][660/11272] Time 0.844 (0.797) Data 0.001 (0.008) Loss 1.7317 (1.5702) Prec@1 54.375 (57.524) Prec@5 82.500 (85.578) Epoch: [89][670/11272] Time 0.724 (0.796) Data 0.001 (0.008) Loss 1.4985 (1.5712) Prec@1 63.750 (57.499) Prec@5 87.500 (85.553) Epoch: [89][680/11272] Time 0.727 (0.797) Data 0.001 (0.008) Loss 1.6758 (1.5719) Prec@1 55.000 (57.491) Prec@5 83.750 (85.540) Epoch: [89][690/11272] Time 0.848 (0.796) Data 0.001 (0.008) Loss 1.5994 (1.5712) Prec@1 56.875 (57.498) Prec@5 87.500 (85.549) Epoch: [89][700/11272] Time 0.719 (0.796) Data 0.001 (0.007) Loss 1.4062 (1.5710) Prec@1 63.750 (57.501) Prec@5 87.500 (85.546) Epoch: [89][710/11272] Time 0.717 (0.796) Data 0.002 (0.007) Loss 1.4956 (1.5712) Prec@1 59.375 (57.512) Prec@5 85.625 (85.532) Epoch: [89][720/11272] Time 0.835 (0.796) Data 0.001 (0.007) Loss 1.8390 (1.5709) Prec@1 51.250 (57.533) Prec@5 82.500 (85.537) Epoch: [89][730/11272] Time 0.827 (0.796) Data 0.001 (0.007) Loss 1.7383 (1.5723) Prec@1 53.750 (57.500) Prec@5 83.125 (85.517) Epoch: [89][740/11272] Time 0.733 (0.796) Data 0.002 (0.007) Loss 1.8312 (1.5725) Prec@1 55.000 (57.499) Prec@5 79.375 (85.520) Epoch: [89][750/11272] Time 0.735 (0.796) Data 0.002 (0.007) Loss 1.6525 (1.5717) Prec@1 47.500 (57.504) Prec@5 86.250 (85.539) Epoch: [89][760/11272] Time 0.862 (0.796) Data 0.002 (0.007) Loss 1.5910 (1.5719) Prec@1 56.250 (57.493) Prec@5 83.125 (85.535) Epoch: [89][770/11272] Time 0.855 (0.796) Data 0.002 (0.007) Loss 1.4139 (1.5712) Prec@1 61.250 (57.508) Prec@5 86.250 (85.541) Epoch: [89][780/11272] Time 0.718 (0.796) Data 0.001 (0.007) Loss 1.4706 (1.5718) Prec@1 61.250 (57.484) Prec@5 86.875 (85.531) Epoch: [89][790/11272] Time 0.757 (0.796) Data 0.002 (0.007) Loss 1.6103 (1.5720) Prec@1 57.500 (57.482) Prec@5 85.000 (85.528) Epoch: [89][800/11272] Time 0.842 (0.795) Data 0.002 (0.007) Loss 1.7120 (1.5720) Prec@1 55.625 (57.485) Prec@5 80.625 (85.519) Epoch: [89][810/11272] Time 0.857 (0.795) Data 0.002 (0.007) Loss 1.6903 (1.5726) Prec@1 59.375 (57.474) Prec@5 81.875 (85.512) Epoch: [89][820/11272] Time 0.701 (0.795) Data 0.001 (0.007) Loss 1.6332 (1.5726) Prec@1 58.750 (57.470) Prec@5 81.875 (85.511) Epoch: [89][830/11272] Time 0.862 (0.795) Data 0.001 (0.007) Loss 1.6640 (1.5726) Prec@1 55.625 (57.459) Prec@5 86.875 (85.514) Epoch: [89][840/11272] Time 0.870 (0.795) Data 0.002 (0.006) Loss 1.6235 (1.5728) Prec@1 53.750 (57.441) Prec@5 81.250 (85.519) Epoch: [89][850/11272] Time 0.726 (0.795) Data 0.002 (0.006) Loss 1.5055 (1.5718) Prec@1 60.000 (57.468) Prec@5 84.375 (85.532) Epoch: [89][860/11272] Time 0.732 (0.795) Data 0.002 (0.006) Loss 1.7059 (1.5722) Prec@1 49.375 (57.460) Prec@5 85.000 (85.526) Epoch: [89][870/11272] Time 0.862 (0.795) Data 0.002 (0.006) Loss 1.5148 (1.5726) Prec@1 56.250 (57.464) Prec@5 84.375 (85.514) Epoch: [89][880/11272] Time 0.838 (0.795) Data 0.002 (0.006) Loss 1.4941 (1.5733) Prec@1 59.375 (57.445) Prec@5 86.875 (85.512) Epoch: [89][890/11272] Time 0.783 (0.795) Data 0.001 (0.006) Loss 1.3961 (1.5735) Prec@1 61.875 (57.422) Prec@5 87.500 (85.516) Epoch: [89][900/11272] Time 0.713 (0.795) Data 0.002 (0.006) Loss 1.3358 (1.5733) Prec@1 66.875 (57.442) Prec@5 88.750 (85.521) Epoch: [89][910/11272] Time 0.838 (0.795) Data 0.001 (0.006) Loss 1.5392 (1.5740) Prec@1 56.875 (57.416) Prec@5 87.500 (85.504) Epoch: [89][920/11272] Time 0.849 (0.795) Data 0.002 (0.006) Loss 1.3781 (1.5744) Prec@1 65.000 (57.389) Prec@5 86.875 (85.500) Epoch: [89][930/11272] Time 0.702 (0.795) Data 0.001 (0.006) Loss 1.6063 (1.5741) Prec@1 57.500 (57.393) Prec@5 87.500 (85.501) Epoch: [89][940/11272] Time 0.762 (0.795) Data 0.002 (0.006) Loss 1.5805 (1.5744) Prec@1 56.875 (57.380) Prec@5 88.750 (85.503) Epoch: [89][950/11272] Time 0.850 (0.795) Data 0.002 (0.006) Loss 1.7654 (1.5746) Prec@1 55.000 (57.378) Prec@5 79.375 (85.495) Epoch: [89][960/11272] Time 0.712 (0.795) Data 0.003 (0.006) Loss 1.7967 (1.5754) Prec@1 58.125 (57.372) Prec@5 80.000 (85.481) Epoch: [89][970/11272] Time 0.717 (0.795) Data 0.001 (0.006) Loss 1.4807 (1.5750) Prec@1 60.000 (57.386) Prec@5 85.625 (85.492) Epoch: [89][980/11272] Time 0.846 (0.795) Data 0.001 (0.006) Loss 1.5678 (1.5755) Prec@1 60.000 (57.387) Prec@5 88.125 (85.483) Epoch: [89][990/11272] Time 0.817 (0.794) Data 0.001 (0.006) Loss 1.3302 (1.5753) Prec@1 65.625 (57.389) Prec@5 87.500 (85.482) Epoch: [89][1000/11272] Time 0.704 (0.794) Data 0.001 (0.006) Loss 1.6686 (1.5754) Prec@1 54.375 (57.383) Prec@5 84.375 (85.483) Epoch: [89][1010/11272] Time 0.735 (0.794) Data 0.001 (0.006) Loss 1.5670 (1.5756) Prec@1 62.500 (57.382) Prec@5 85.000 (85.475) Epoch: [89][1020/11272] Time 0.848 (0.794) Data 0.001 (0.006) Loss 1.4238 (1.5755) Prec@1 59.375 (57.389) Prec@5 89.375 (85.480) Epoch: [89][1030/11272] Time 0.819 (0.794) Data 0.001 (0.006) Loss 1.2358 (1.5747) Prec@1 64.375 (57.394) Prec@5 88.125 (85.493) Epoch: [89][1040/11272] Time 0.735 (0.794) Data 0.002 (0.006) Loss 1.4820 (1.5747) Prec@1 60.000 (57.402) Prec@5 88.750 (85.491) Epoch: [89][1050/11272] Time 0.742 (0.794) Data 0.002 (0.005) Loss 1.6021 (1.5749) Prec@1 63.125 (57.402) Prec@5 84.375 (85.489) Epoch: [89][1060/11272] Time 0.843 (0.794) Data 0.002 (0.005) Loss 1.5944 (1.5749) Prec@1 53.750 (57.399) Prec@5 86.250 (85.488) Epoch: [89][1070/11272] Time 0.834 (0.794) Data 0.002 (0.005) Loss 1.3747 (1.5744) Prec@1 61.875 (57.396) Prec@5 88.125 (85.501) Epoch: [89][1080/11272] Time 0.727 (0.794) Data 0.002 (0.005) Loss 1.4819 (1.5740) Prec@1 55.000 (57.414) Prec@5 88.750 (85.505) Epoch: [89][1090/11272] Time 0.876 (0.794) Data 0.001 (0.005) Loss 1.3080 (1.5737) Prec@1 63.125 (57.412) Prec@5 91.875 (85.517) Epoch: [89][1100/11272] Time 0.813 (0.794) Data 0.002 (0.005) Loss 1.6358 (1.5744) Prec@1 55.000 (57.405) Prec@5 85.000 (85.504) Epoch: [89][1110/11272] Time 0.744 (0.794) Data 0.001 (0.005) Loss 1.7744 (1.5737) Prec@1 50.625 (57.415) Prec@5 82.500 (85.519) Epoch: [89][1120/11272] Time 0.736 (0.794) Data 0.001 (0.005) Loss 1.8258 (1.5736) Prec@1 55.000 (57.410) Prec@5 82.500 (85.519) Epoch: [89][1130/11272] Time 0.841 (0.794) Data 0.001 (0.005) Loss 1.5079 (1.5741) Prec@1 56.875 (57.398) Prec@5 83.750 (85.505) Epoch: [89][1140/11272] Time 0.882 (0.794) Data 0.002 (0.005) Loss 1.5446 (1.5742) Prec@1 60.625 (57.392) Prec@5 85.625 (85.500) Epoch: [89][1150/11272] Time 0.723 (0.793) Data 0.001 (0.005) Loss 1.6979 (1.5745) Prec@1 55.000 (57.388) Prec@5 84.375 (85.496) Epoch: [89][1160/11272] Time 0.729 (0.793) Data 0.002 (0.005) Loss 1.6373 (1.5749) Prec@1 52.500 (57.384) Prec@5 87.500 (85.490) Epoch: [89][1170/11272] Time 0.915 (0.794) Data 0.002 (0.005) Loss 1.6947 (1.5749) Prec@1 52.500 (57.393) Prec@5 84.375 (85.488) Epoch: [89][1180/11272] Time 0.838 (0.794) Data 0.002 (0.005) Loss 1.7144 (1.5750) Prec@1 52.500 (57.377) Prec@5 82.500 (85.487) Epoch: [89][1190/11272] Time 0.750 (0.794) Data 0.001 (0.005) Loss 1.6142 (1.5752) Prec@1 56.875 (57.369) Prec@5 85.625 (85.481) Epoch: [89][1200/11272] Time 0.713 (0.794) Data 0.002 (0.005) Loss 1.7809 (1.5752) Prec@1 55.625 (57.363) Prec@5 78.125 (85.477) Epoch: [89][1210/11272] Time 0.804 (0.794) Data 0.001 (0.005) Loss 1.6262 (1.5750) Prec@1 53.750 (57.361) Prec@5 88.125 (85.488) Epoch: [89][1220/11272] Time 0.719 (0.793) Data 0.004 (0.005) Loss 1.4333 (1.5755) Prec@1 59.375 (57.338) Prec@5 89.375 (85.487) Epoch: [89][1230/11272] Time 0.729 (0.793) Data 0.001 (0.005) Loss 1.4900 (1.5751) Prec@1 59.375 (57.340) Prec@5 86.875 (85.497) Epoch: [89][1240/11272] Time 0.859 (0.793) Data 0.001 (0.005) Loss 1.6874 (1.5750) Prec@1 54.375 (57.339) Prec@5 83.750 (85.495) Epoch: [89][1250/11272] Time 0.805 (0.793) Data 0.001 (0.005) Loss 1.4978 (1.5744) Prec@1 57.500 (57.347) Prec@5 85.000 (85.497) Epoch: [89][1260/11272] Time 0.714 (0.793) Data 0.001 (0.005) Loss 1.5417 (1.5744) Prec@1 56.250 (57.337) Prec@5 89.375 (85.507) Epoch: [89][1270/11272] Time 0.717 (0.793) Data 0.001 (0.005) Loss 1.5410 (1.5743) Prec@1 59.375 (57.343) Prec@5 86.875 (85.510) Epoch: [89][1280/11272] Time 0.874 (0.793) Data 0.002 (0.005) Loss 1.4568 (1.5740) Prec@1 60.625 (57.350) Prec@5 87.500 (85.516) Epoch: [89][1290/11272] Time 0.825 (0.793) Data 0.002 (0.005) Loss 1.5730 (1.5739) Prec@1 55.625 (57.350) Prec@5 86.250 (85.517) Epoch: [89][1300/11272] Time 0.755 (0.793) Data 0.001 (0.005) Loss 1.3844 (1.5743) Prec@1 66.250 (57.340) Prec@5 87.500 (85.509) Epoch: [89][1310/11272] Time 0.718 (0.793) Data 0.001 (0.005) Loss 1.4631 (1.5742) Prec@1 60.625 (57.342) Prec@5 90.000 (85.521) Epoch: [89][1320/11272] Time 0.846 (0.793) Data 0.001 (0.005) Loss 1.5083 (1.5746) Prec@1 55.625 (57.325) Prec@5 84.375 (85.516) Epoch: [89][1330/11272] Time 0.842 (0.793) Data 0.001 (0.005) Loss 1.4792 (1.5745) Prec@1 60.625 (57.330) Prec@5 86.875 (85.510) Epoch: [89][1340/11272] Time 0.704 (0.793) Data 0.001 (0.005) Loss 1.6800 (1.5742) Prec@1 59.375 (57.339) Prec@5 82.500 (85.508) Epoch: [89][1350/11272] Time 0.873 (0.793) Data 0.002 (0.005) Loss 1.3492 (1.5735) Prec@1 65.625 (57.367) Prec@5 90.000 (85.516) Epoch: [89][1360/11272] Time 0.879 (0.793) Data 0.002 (0.005) Loss 1.6432 (1.5735) Prec@1 52.500 (57.367) Prec@5 84.375 (85.514) Epoch: [89][1370/11272] Time 0.750 (0.793) Data 0.002 (0.005) Loss 1.5917 (1.5741) Prec@1 58.125 (57.356) Prec@5 87.500 (85.513) Epoch: [89][1380/11272] Time 0.712 (0.793) Data 0.001 (0.005) Loss 1.5900 (1.5736) Prec@1 51.875 (57.368) Prec@5 90.625 (85.521) Epoch: [89][1390/11272] Time 0.851 (0.793) Data 0.001 (0.005) Loss 1.5944 (1.5736) Prec@1 53.125 (57.366) Prec@5 88.750 (85.523) Epoch: [89][1400/11272] Time 0.819 (0.793) Data 0.001 (0.004) Loss 1.7252 (1.5737) Prec@1 55.625 (57.357) Prec@5 83.750 (85.517) Epoch: [89][1410/11272] Time 0.716 (0.793) Data 0.001 (0.004) Loss 1.3978 (1.5740) Prec@1 61.250 (57.353) Prec@5 86.250 (85.508) Epoch: [89][1420/11272] Time 0.719 (0.793) Data 0.001 (0.004) Loss 1.4655 (1.5742) Prec@1 58.750 (57.352) Prec@5 86.875 (85.500) Epoch: [89][1430/11272] Time 0.834 (0.793) Data 0.002 (0.004) Loss 1.5958 (1.5741) Prec@1 57.500 (57.368) Prec@5 85.625 (85.502) Epoch: [89][1440/11272] Time 0.810 (0.792) Data 0.001 (0.004) Loss 1.6202 (1.5746) Prec@1 53.750 (57.361) Prec@5 84.375 (85.491) Epoch: [89][1450/11272] Time 0.709 (0.792) Data 0.002 (0.004) Loss 1.5670 (1.5746) Prec@1 61.875 (57.369) Prec@5 85.000 (85.491) Epoch: [89][1460/11272] Time 0.683 (0.792) Data 0.001 (0.004) Loss 1.4387 (1.5748) Prec@1 61.875 (57.359) Prec@5 88.750 (85.498) Epoch: [89][1470/11272] Time 0.902 (0.792) Data 0.002 (0.004) Loss 1.6084 (1.5752) Prec@1 57.500 (57.353) Prec@5 84.375 (85.494) Epoch: [89][1480/11272] Time 0.846 (0.792) Data 0.002 (0.004) Loss 1.4256 (1.5751) Prec@1 61.875 (57.363) Prec@5 83.750 (85.492) Epoch: [89][1490/11272] Time 0.755 (0.792) Data 0.001 (0.004) Loss 1.8394 (1.5751) Prec@1 52.500 (57.366) Prec@5 81.250 (85.492) Epoch: [89][1500/11272] Time 0.826 (0.792) Data 0.002 (0.004) Loss 1.6098 (1.5753) Prec@1 60.625 (57.375) Prec@5 81.875 (85.490) Epoch: [89][1510/11272] Time 0.812 (0.792) Data 0.002 (0.004) Loss 1.3220 (1.5754) Prec@1 64.375 (57.373) Prec@5 90.000 (85.487) Epoch: [89][1520/11272] Time 0.723 (0.792) Data 0.001 (0.004) Loss 1.5690 (1.5758) Prec@1 62.500 (57.367) Prec@5 83.750 (85.483) Epoch: [89][1530/11272] Time 0.731 (0.792) Data 0.001 (0.004) Loss 1.5893 (1.5757) Prec@1 56.875 (57.379) Prec@5 85.000 (85.487) Epoch: [89][1540/11272] Time 0.856 (0.792) Data 0.002 (0.004) Loss 1.5686 (1.5755) Prec@1 55.000 (57.390) Prec@5 87.500 (85.490) Epoch: [89][1550/11272] Time 0.814 (0.792) Data 0.001 (0.004) Loss 1.3578 (1.5755) Prec@1 59.375 (57.395) Prec@5 88.750 (85.488) Epoch: [89][1560/11272] Time 0.749 (0.792) Data 0.002 (0.004) Loss 1.5326 (1.5754) Prec@1 60.000 (57.405) Prec@5 85.000 (85.488) Epoch: [89][1570/11272] Time 0.724 (0.792) Data 0.001 (0.004) Loss 1.5014 (1.5755) Prec@1 64.375 (57.404) Prec@5 84.375 (85.485) Epoch: [89][1580/11272] Time 0.837 (0.792) Data 0.002 (0.004) Loss 1.4992 (1.5754) Prec@1 58.125 (57.402) Prec@5 85.625 (85.487) Epoch: [89][1590/11272] Time 0.848 (0.792) Data 0.002 (0.004) Loss 1.6909 (1.5759) Prec@1 58.750 (57.394) Prec@5 83.125 (85.474) Epoch: [89][1600/11272] Time 0.718 (0.792) Data 0.002 (0.004) Loss 1.7062 (1.5764) Prec@1 53.750 (57.379) Prec@5 81.875 (85.456) Epoch: [89][1610/11272] Time 0.749 (0.792) Data 0.001 (0.004) Loss 1.5661 (1.5764) Prec@1 58.750 (57.384) Prec@5 85.625 (85.457) Epoch: [89][1620/11272] Time 0.887 (0.792) Data 0.001 (0.004) Loss 1.5089 (1.5769) Prec@1 57.500 (57.376) Prec@5 85.000 (85.449) Epoch: [89][1630/11272] Time 0.740 (0.792) Data 0.002 (0.004) Loss 1.7413 (1.5772) Prec@1 56.875 (57.381) Prec@5 83.750 (85.447) Epoch: [89][1640/11272] Time 0.746 (0.792) Data 0.002 (0.004) Loss 1.6939 (1.5777) Prec@1 53.750 (57.359) Prec@5 85.625 (85.443) Epoch: [89][1650/11272] Time 0.843 (0.792) Data 0.001 (0.004) Loss 1.5179 (1.5775) Prec@1 55.625 (57.365) Prec@5 85.625 (85.448) Epoch: [89][1660/11272] Time 0.836 (0.792) Data 0.002 (0.004) Loss 1.7150 (1.5772) Prec@1 51.250 (57.370) Prec@5 82.500 (85.449) Epoch: [89][1670/11272] Time 0.733 (0.792) Data 0.001 (0.004) Loss 1.4435 (1.5771) Prec@1 63.125 (57.365) Prec@5 89.375 (85.456) Epoch: [89][1680/11272] Time 0.719 (0.792) Data 0.002 (0.004) Loss 1.4962 (1.5775) Prec@1 58.750 (57.359) Prec@5 87.500 (85.449) Epoch: [89][1690/11272] Time 0.853 (0.792) Data 0.002 (0.004) Loss 1.7289 (1.5770) Prec@1 51.875 (57.374) Prec@5 80.625 (85.447) Epoch: [89][1700/11272] Time 0.804 (0.792) Data 0.001 (0.004) Loss 1.4398 (1.5771) Prec@1 60.625 (57.377) Prec@5 86.875 (85.443) Epoch: [89][1710/11272] Time 0.704 (0.792) Data 0.001 (0.004) Loss 1.6568 (1.5771) Prec@1 56.250 (57.382) Prec@5 80.625 (85.436) Epoch: [89][1720/11272] Time 0.749 (0.792) Data 0.001 (0.004) Loss 1.6096 (1.5771) Prec@1 55.625 (57.381) Prec@5 86.875 (85.439) Epoch: [89][1730/11272] Time 0.854 (0.792) Data 0.002 (0.004) Loss 1.7147 (1.5773) Prec@1 55.625 (57.375) Prec@5 81.250 (85.437) Epoch: [89][1740/11272] Time 0.840 (0.792) Data 0.002 (0.004) Loss 1.6058 (1.5774) Prec@1 55.625 (57.368) Prec@5 82.500 (85.436) Epoch: [89][1750/11272] Time 0.703 (0.792) Data 0.001 (0.004) Loss 1.5278 (1.5773) Prec@1 61.250 (57.377) Prec@5 83.750 (85.437) Epoch: [89][1760/11272] Time 0.856 (0.792) Data 0.001 (0.004) Loss 1.5827 (1.5771) Prec@1 56.875 (57.388) Prec@5 82.500 (85.441) Epoch: [89][1770/11272] Time 0.831 (0.792) Data 0.002 (0.004) Loss 1.5953 (1.5772) Prec@1 61.250 (57.381) Prec@5 83.750 (85.437) Epoch: [89][1780/11272] Time 0.702 (0.792) Data 0.001 (0.004) Loss 1.6379 (1.5774) Prec@1 59.375 (57.378) Prec@5 83.750 (85.441) Epoch: [89][1790/11272] Time 0.712 (0.792) Data 0.002 (0.004) Loss 1.2792 (1.5771) Prec@1 64.375 (57.384) Prec@5 91.250 (85.443) Epoch: [89][1800/11272] Time 0.848 (0.791) Data 0.001 (0.004) Loss 1.5079 (1.5771) Prec@1 58.750 (57.384) Prec@5 84.375 (85.443) Epoch: [89][1810/11272] Time 0.826 (0.791) Data 0.001 (0.004) Loss 1.6510 (1.5769) Prec@1 55.625 (57.385) Prec@5 83.750 (85.449) Epoch: [89][1820/11272] Time 0.753 (0.791) Data 0.002 (0.004) Loss 1.5022 (1.5769) Prec@1 56.250 (57.385) Prec@5 86.250 (85.441) Epoch: [89][1830/11272] Time 0.713 (0.791) Data 0.002 (0.004) Loss 1.5440 (1.5770) Prec@1 56.875 (57.376) Prec@5 86.875 (85.434) Epoch: [89][1840/11272] Time 0.841 (0.791) Data 0.001 (0.004) Loss 1.5401 (1.5774) Prec@1 60.000 (57.365) Prec@5 88.125 (85.430) Epoch: [89][1850/11272] Time 0.832 (0.791) Data 0.001 (0.004) Loss 1.4003 (1.5772) Prec@1 63.125 (57.365) Prec@5 86.250 (85.434) Epoch: [89][1860/11272] Time 0.729 (0.791) Data 0.001 (0.004) Loss 1.7230 (1.5773) Prec@1 52.500 (57.359) Prec@5 87.500 (85.436) Epoch: [89][1870/11272] Time 0.735 (0.791) Data 0.001 (0.004) Loss 1.6722 (1.5774) Prec@1 53.750 (57.358) Prec@5 81.875 (85.430) Epoch: [89][1880/11272] Time 0.841 (0.791) Data 0.002 (0.004) Loss 1.4972 (1.5772) Prec@1 61.250 (57.359) Prec@5 84.375 (85.439) Epoch: [89][1890/11272] Time 0.733 (0.791) Data 0.004 (0.004) Loss 1.6657 (1.5771) Prec@1 55.625 (57.358) Prec@5 84.375 (85.440) Epoch: [89][1900/11272] Time 0.743 (0.791) Data 0.002 (0.004) Loss 1.6233 (1.5772) Prec@1 56.875 (57.348) Prec@5 80.625 (85.439) Epoch: [89][1910/11272] Time 0.827 (0.791) Data 0.001 (0.004) Loss 1.7269 (1.5771) Prec@1 54.375 (57.355) Prec@5 83.125 (85.441) Epoch: [89][1920/11272] Time 0.826 (0.791) Data 0.002 (0.004) Loss 1.8117 (1.5771) Prec@1 55.000 (57.358) Prec@5 81.250 (85.436) Epoch: [89][1930/11272] Time 0.718 (0.791) Data 0.001 (0.004) Loss 1.4853 (1.5771) Prec@1 61.875 (57.361) Prec@5 86.250 (85.434) Epoch: [89][1940/11272] Time 0.742 (0.791) Data 0.001 (0.004) Loss 1.5518 (1.5771) Prec@1 57.500 (57.357) Prec@5 83.125 (85.433) Epoch: [89][1950/11272] Time 0.836 (0.791) Data 0.001 (0.004) Loss 1.5137 (1.5773) Prec@1 60.625 (57.354) Prec@5 87.500 (85.432) Epoch: [89][1960/11272] Time 0.864 (0.791) Data 0.002 (0.004) Loss 1.6966 (1.5773) Prec@1 53.750 (57.358) Prec@5 85.000 (85.433) Epoch: [89][1970/11272] Time 0.771 (0.791) Data 0.003 (0.004) Loss 1.6381 (1.5773) Prec@1 56.875 (57.366) Prec@5 85.000 (85.433) Epoch: [89][1980/11272] Time 0.729 (0.791) Data 0.001 (0.004) Loss 1.8649 (1.5773) Prec@1 53.125 (57.367) Prec@5 79.375 (85.435) Epoch: [89][1990/11272] Time 0.818 (0.791) Data 0.001 (0.004) Loss 1.7291 (1.5773) Prec@1 53.750 (57.368) Prec@5 80.000 (85.431) Epoch: [89][2000/11272] Time 0.816 (0.791) Data 0.002 (0.004) Loss 1.4792 (1.5770) Prec@1 61.875 (57.374) Prec@5 84.375 (85.433) Epoch: [89][2010/11272] Time 0.744 (0.791) Data 0.002 (0.004) Loss 1.5629 (1.5771) Prec@1 54.375 (57.372) Prec@5 86.250 (85.434) Epoch: [89][2020/11272] Time 0.838 (0.791) Data 0.002 (0.004) Loss 1.7418 (1.5768) Prec@1 50.625 (57.380) Prec@5 81.250 (85.437) Epoch: [89][2030/11272] Time 0.812 (0.791) Data 0.001 (0.004) Loss 1.5336 (1.5770) Prec@1 61.250 (57.383) Prec@5 85.625 (85.436) Epoch: [89][2040/11272] Time 0.716 (0.791) Data 0.001 (0.004) Loss 1.6485 (1.5772) Prec@1 53.125 (57.381) Prec@5 81.875 (85.434) Epoch: [89][2050/11272] Time 0.709 (0.791) Data 0.002 (0.004) Loss 1.5316 (1.5771) Prec@1 56.875 (57.382) Prec@5 86.875 (85.434) Epoch: [89][2060/11272] Time 0.813 (0.791) Data 0.001 (0.004) Loss 1.4192 (1.5771) Prec@1 61.875 (57.383) Prec@5 86.250 (85.433) Epoch: [89][2070/11272] Time 0.849 (0.791) Data 0.001 (0.004) Loss 1.6996 (1.5775) Prec@1 56.250 (57.372) Prec@5 81.250 (85.429) Epoch: [89][2080/11272] Time 0.749 (0.791) Data 0.002 (0.004) Loss 1.5814 (1.5775) Prec@1 52.500 (57.372) Prec@5 84.375 (85.432) Epoch: [89][2090/11272] Time 0.715 (0.791) Data 0.001 (0.004) Loss 1.6904 (1.5777) Prec@1 57.500 (57.362) Prec@5 85.000 (85.428) Epoch: [89][2100/11272] Time 0.819 (0.791) Data 0.001 (0.004) Loss 1.8666 (1.5777) Prec@1 47.500 (57.352) Prec@5 79.375 (85.432) Epoch: [89][2110/11272] Time 0.867 (0.791) Data 0.001 (0.003) Loss 1.4465 (1.5780) Prec@1 63.750 (57.350) Prec@5 84.375 (85.427) Epoch: [89][2120/11272] Time 0.718 (0.791) Data 0.001 (0.003) Loss 1.5710 (1.5779) Prec@1 55.625 (57.355) Prec@5 88.125 (85.428) Epoch: [89][2130/11272] Time 0.731 (0.791) Data 0.002 (0.003) Loss 1.5164 (1.5779) Prec@1 60.000 (57.358) Prec@5 88.750 (85.428) Epoch: [89][2140/11272] Time 0.850 (0.791) Data 0.002 (0.003) Loss 1.5408 (1.5783) Prec@1 60.625 (57.353) Prec@5 85.000 (85.419) Epoch: [89][2150/11272] Time 0.727 (0.791) Data 0.003 (0.003) Loss 1.5874 (1.5785) Prec@1 55.000 (57.348) Prec@5 85.000 (85.420) Epoch: [89][2160/11272] Time 0.708 (0.791) Data 0.002 (0.003) Loss 1.4130 (1.5787) Prec@1 59.375 (57.338) Prec@5 88.125 (85.414) Epoch: [89][2170/11272] Time 0.853 (0.791) Data 0.002 (0.003) Loss 1.2722 (1.5784) Prec@1 66.875 (57.343) Prec@5 91.875 (85.420) Epoch: [89][2180/11272] Time 0.847 (0.791) Data 0.002 (0.003) Loss 1.3437 (1.5784) Prec@1 65.000 (57.348) Prec@5 91.250 (85.421) Epoch: [89][2190/11272] Time 0.720 (0.791) Data 0.002 (0.003) Loss 1.7025 (1.5785) Prec@1 57.500 (57.351) Prec@5 83.750 (85.418) Epoch: [89][2200/11272] Time 0.786 (0.791) Data 0.002 (0.003) Loss 1.7562 (1.5786) Prec@1 56.250 (57.346) Prec@5 80.625 (85.412) Epoch: [89][2210/11272] Time 0.839 (0.791) Data 0.001 (0.003) Loss 1.5709 (1.5786) Prec@1 60.000 (57.344) Prec@5 88.125 (85.412) Epoch: [89][2220/11272] Time 0.862 (0.791) Data 0.002 (0.003) Loss 1.5615 (1.5780) Prec@1 56.250 (57.361) Prec@5 86.875 (85.424) Epoch: [89][2230/11272] Time 0.728 (0.791) Data 0.002 (0.003) Loss 1.4366 (1.5777) Prec@1 65.625 (57.370) Prec@5 88.750 (85.427) Epoch: [89][2240/11272] Time 0.711 (0.791) Data 0.001 (0.003) Loss 1.5438 (1.5778) Prec@1 56.250 (57.364) Prec@5 84.375 (85.424) Epoch: [89][2250/11272] Time 0.815 (0.791) Data 0.002 (0.003) Loss 1.6811 (1.5777) Prec@1 53.750 (57.365) Prec@5 85.625 (85.428) Epoch: [89][2260/11272] Time 0.876 (0.791) Data 0.001 (0.003) Loss 1.3926 (1.5777) Prec@1 61.875 (57.367) Prec@5 88.125 (85.421) Epoch: [89][2270/11272] Time 0.760 (0.791) Data 0.002 (0.003) Loss 1.6420 (1.5779) Prec@1 53.750 (57.362) Prec@5 83.125 (85.418) Epoch: [89][2280/11272] Time 0.853 (0.791) Data 0.002 (0.003) Loss 1.6555 (1.5780) Prec@1 53.750 (57.359) Prec@5 86.250 (85.416) Epoch: [89][2290/11272] Time 0.862 (0.791) Data 0.001 (0.003) Loss 1.5979 (1.5782) Prec@1 57.500 (57.352) Prec@5 83.750 (85.414) Epoch: [89][2300/11272] Time 0.711 (0.791) Data 0.001 (0.003) Loss 1.6930 (1.5781) Prec@1 60.000 (57.352) Prec@5 82.500 (85.417) Epoch: [89][2310/11272] Time 0.740 (0.791) Data 0.001 (0.003) Loss 1.7863 (1.5781) Prec@1 53.750 (57.352) Prec@5 79.375 (85.415) Epoch: [89][2320/11272] Time 0.883 (0.791) Data 0.002 (0.003) Loss 1.4632 (1.5781) Prec@1 58.125 (57.348) Prec@5 85.625 (85.413) Epoch: [89][2330/11272] Time 0.889 (0.791) Data 0.002 (0.003) Loss 1.5967 (1.5779) Prec@1 58.750 (57.353) Prec@5 82.500 (85.416) Epoch: [89][2340/11272] Time 0.721 (0.791) Data 0.001 (0.003) Loss 1.6784 (1.5781) Prec@1 54.375 (57.346) Prec@5 86.250 (85.416) Epoch: [89][2350/11272] Time 0.732 (0.791) Data 0.002 (0.003) Loss 1.5860 (1.5784) Prec@1 53.125 (57.330) Prec@5 84.375 (85.413) Epoch: [89][2360/11272] Time 0.885 (0.791) Data 0.001 (0.003) Loss 1.4960 (1.5782) Prec@1 56.250 (57.330) Prec@5 86.875 (85.413) Epoch: [89][2370/11272] Time 0.823 (0.791) Data 0.001 (0.003) Loss 1.6766 (1.5781) Prec@1 53.750 (57.334) Prec@5 82.500 (85.415) Epoch: [89][2380/11272] Time 0.735 (0.791) Data 0.001 (0.003) Loss 1.6090 (1.5784) Prec@1 55.625 (57.329) Prec@5 87.500 (85.414) Epoch: [89][2390/11272] Time 0.733 (0.791) Data 0.002 (0.003) Loss 1.5076 (1.5782) Prec@1 55.000 (57.334) Prec@5 89.375 (85.418) Epoch: [89][2400/11272] Time 0.899 (0.791) Data 0.001 (0.003) Loss 1.3187 (1.5779) Prec@1 62.500 (57.338) Prec@5 87.500 (85.420) Epoch: [89][2410/11272] Time 0.835 (0.791) Data 0.002 (0.003) Loss 1.3037 (1.5778) Prec@1 63.750 (57.341) Prec@5 89.375 (85.423) Epoch: [89][2420/11272] Time 0.722 (0.791) Data 0.001 (0.003) Loss 1.6628 (1.5780) Prec@1 53.125 (57.333) Prec@5 85.625 (85.416) Epoch: [89][2430/11272] Time 0.844 (0.791) Data 0.002 (0.003) Loss 1.5853 (1.5779) Prec@1 60.000 (57.340) Prec@5 85.625 (85.417) Epoch: [89][2440/11272] Time 0.880 (0.791) Data 0.001 (0.003) Loss 1.3950 (1.5779) Prec@1 64.375 (57.344) Prec@5 84.375 (85.418) Epoch: [89][2450/11272] Time 0.748 (0.791) Data 0.001 (0.003) Loss 1.7179 (1.5782) Prec@1 53.750 (57.340) Prec@5 83.750 (85.414) Epoch: [89][2460/11272] Time 0.767 (0.791) Data 0.001 (0.003) Loss 1.6916 (1.5783) Prec@1 55.625 (57.338) Prec@5 83.125 (85.414) Epoch: [89][2470/11272] Time 0.850 (0.791) Data 0.001 (0.003) Loss 1.6778 (1.5785) Prec@1 51.875 (57.336) Prec@5 83.125 (85.409) Epoch: [89][2480/11272] Time 0.872 (0.791) Data 0.001 (0.003) Loss 1.7723 (1.5785) Prec@1 49.375 (57.337) Prec@5 78.125 (85.405) Epoch: [89][2490/11272] Time 0.706 (0.791) Data 0.001 (0.003) Loss 1.8755 (1.5786) Prec@1 48.750 (57.337) Prec@5 82.500 (85.403) Epoch: [89][2500/11272] Time 0.732 (0.791) Data 0.001 (0.003) Loss 1.6470 (1.5789) Prec@1 55.000 (57.335) Prec@5 84.375 (85.397) Epoch: [89][2510/11272] Time 0.831 (0.791) Data 0.001 (0.003) Loss 1.7807 (1.5792) Prec@1 49.375 (57.331) Prec@5 80.000 (85.390) Epoch: [89][2520/11272] Time 0.872 (0.791) Data 0.002 (0.003) Loss 1.4834 (1.5792) Prec@1 61.250 (57.335) Prec@5 86.875 (85.392) Epoch: [89][2530/11272] Time 0.739 (0.791) Data 0.001 (0.003) Loss 1.5005 (1.5793) Prec@1 56.875 (57.337) Prec@5 87.500 (85.391) Epoch: [89][2540/11272] Time 0.756 (0.791) Data 0.001 (0.003) Loss 1.6304 (1.5796) Prec@1 61.875 (57.328) Prec@5 79.375 (85.383) Epoch: [89][2550/11272] Time 0.814 (0.791) Data 0.001 (0.003) Loss 1.6738 (1.5797) Prec@1 49.375 (57.320) Prec@5 84.375 (85.379) Epoch: [89][2560/11272] Time 0.713 (0.791) Data 0.002 (0.003) Loss 1.5328 (1.5800) Prec@1 54.375 (57.315) Prec@5 88.750 (85.378) Epoch: [89][2570/11272] Time 0.703 (0.791) Data 0.001 (0.003) Loss 1.5833 (1.5803) Prec@1 59.375 (57.303) Prec@5 86.250 (85.375) Epoch: [89][2580/11272] Time 0.841 (0.791) Data 0.001 (0.003) Loss 1.6366 (1.5803) Prec@1 53.125 (57.307) Prec@5 83.750 (85.377) Epoch: [89][2590/11272] Time 0.827 (0.791) Data 0.001 (0.003) Loss 1.5698 (1.5805) Prec@1 58.125 (57.308) Prec@5 85.625 (85.379) Epoch: [89][2600/11272] Time 0.720 (0.791) Data 0.002 (0.003) Loss 1.6633 (1.5805) Prec@1 53.125 (57.304) Prec@5 83.750 (85.378) Epoch: [89][2610/11272] Time 0.709 (0.791) Data 0.001 (0.003) Loss 1.6679 (1.5807) Prec@1 56.250 (57.296) Prec@5 83.750 (85.377) Epoch: [89][2620/11272] Time 0.837 (0.791) Data 0.001 (0.003) Loss 1.6775 (1.5807) Prec@1 55.000 (57.292) Prec@5 82.500 (85.378) Epoch: [89][2630/11272] Time 0.838 (0.791) Data 0.001 (0.003) Loss 1.6184 (1.5807) Prec@1 53.750 (57.293) Prec@5 86.250 (85.375) Epoch: [89][2640/11272] Time 0.757 (0.790) Data 0.001 (0.003) Loss 1.7057 (1.5809) Prec@1 54.375 (57.294) Prec@5 84.375 (85.376) Epoch: [89][2650/11272] Time 0.703 (0.790) Data 0.001 (0.003) Loss 1.5991 (1.5807) Prec@1 59.375 (57.301) Prec@5 84.375 (85.382) Epoch: [89][2660/11272] Time 0.851 (0.790) Data 0.002 (0.003) Loss 1.4921 (1.5805) Prec@1 55.000 (57.298) Prec@5 88.750 (85.383) Epoch: [89][2670/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.7809 (1.5806) Prec@1 54.375 (57.300) Prec@5 81.875 (85.380) Epoch: [89][2680/11272] Time 0.690 (0.790) Data 0.001 (0.003) Loss 1.6392 (1.5806) Prec@1 53.750 (57.298) Prec@5 85.000 (85.379) Epoch: [89][2690/11272] Time 0.904 (0.790) Data 0.001 (0.003) Loss 1.7344 (1.5805) Prec@1 51.875 (57.306) Prec@5 82.500 (85.381) Epoch: [89][2700/11272] Time 0.848 (0.790) Data 0.002 (0.003) Loss 1.4575 (1.5803) Prec@1 58.750 (57.313) Prec@5 87.500 (85.384) Epoch: [89][2710/11272] Time 0.723 (0.790) Data 0.002 (0.003) Loss 1.6337 (1.5801) Prec@1 55.625 (57.312) Prec@5 83.125 (85.385) Epoch: [89][2720/11272] Time 0.725 (0.790) Data 0.002 (0.003) Loss 1.5172 (1.5800) Prec@1 57.500 (57.315) Prec@5 88.750 (85.390) Epoch: [89][2730/11272] Time 0.846 (0.790) Data 0.002 (0.003) Loss 1.4783 (1.5797) Prec@1 62.500 (57.320) Prec@5 85.625 (85.395) Epoch: [89][2740/11272] Time 0.803 (0.790) Data 0.002 (0.003) Loss 1.5476 (1.5796) Prec@1 55.625 (57.318) Prec@5 85.625 (85.398) Epoch: [89][2750/11272] Time 0.754 (0.790) Data 0.002 (0.003) Loss 1.5631 (1.5795) Prec@1 57.500 (57.321) Prec@5 85.000 (85.401) Epoch: [89][2760/11272] Time 0.745 (0.790) Data 0.001 (0.003) Loss 1.4192 (1.5797) Prec@1 61.875 (57.316) Prec@5 86.875 (85.396) Epoch: [89][2770/11272] Time 0.844 (0.790) Data 0.001 (0.003) Loss 1.5543 (1.5799) Prec@1 55.000 (57.313) Prec@5 86.875 (85.393) Epoch: [89][2780/11272] Time 0.829 (0.790) Data 0.002 (0.003) Loss 1.8219 (1.5799) Prec@1 54.375 (57.313) Prec@5 81.250 (85.394) Epoch: [89][2790/11272] Time 0.712 (0.790) Data 0.001 (0.003) Loss 1.6035 (1.5801) Prec@1 55.625 (57.312) Prec@5 85.625 (85.390) Epoch: [89][2800/11272] Time 0.709 (0.790) Data 0.001 (0.003) Loss 1.6330 (1.5801) Prec@1 54.375 (57.313) Prec@5 81.875 (85.387) Epoch: [89][2810/11272] Time 0.817 (0.790) Data 0.001 (0.003) Loss 1.5984 (1.5801) Prec@1 53.125 (57.309) Prec@5 84.375 (85.388) Epoch: [89][2820/11272] Time 0.728 (0.790) Data 0.002 (0.003) Loss 1.6144 (1.5800) Prec@1 56.250 (57.309) Prec@5 82.500 (85.389) Epoch: [89][2830/11272] Time 0.713 (0.790) Data 0.002 (0.003) Loss 1.8310 (1.5799) Prec@1 51.250 (57.310) Prec@5 81.875 (85.392) Epoch: [89][2840/11272] Time 0.963 (0.790) Data 0.001 (0.003) Loss 1.7157 (1.5800) Prec@1 52.500 (57.306) Prec@5 83.125 (85.390) Epoch: [89][2850/11272] Time 0.895 (0.790) Data 0.002 (0.003) Loss 1.7996 (1.5803) Prec@1 49.375 (57.298) Prec@5 82.500 (85.386) Epoch: [89][2860/11272] Time 0.727 (0.790) Data 0.002 (0.003) Loss 1.3712 (1.5802) Prec@1 65.000 (57.304) Prec@5 87.500 (85.387) Epoch: [89][2870/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 1.5528 (1.5805) Prec@1 58.750 (57.298) Prec@5 83.125 (85.381) Epoch: [89][2880/11272] Time 0.855 (0.790) Data 0.002 (0.003) Loss 1.5978 (1.5805) Prec@1 51.875 (57.297) Prec@5 86.250 (85.382) Epoch: [89][2890/11272] Time 0.846 (0.790) Data 0.002 (0.003) Loss 1.4771 (1.5807) Prec@1 58.125 (57.286) Prec@5 92.500 (85.381) Epoch: [89][2900/11272] Time 0.724 (0.790) Data 0.002 (0.003) Loss 1.3567 (1.5806) Prec@1 60.000 (57.292) Prec@5 89.375 (85.387) Epoch: [89][2910/11272] Time 0.704 (0.790) Data 0.001 (0.003) Loss 1.5314 (1.5806) Prec@1 55.625 (57.286) Prec@5 87.500 (85.387) Epoch: [89][2920/11272] Time 0.832 (0.790) Data 0.001 (0.003) Loss 1.5608 (1.5809) Prec@1 57.500 (57.277) Prec@5 87.500 (85.382) Epoch: [89][2930/11272] Time 0.803 (0.790) Data 0.001 (0.003) Loss 1.6834 (1.5809) Prec@1 51.250 (57.276) Prec@5 81.875 (85.382) Epoch: [89][2940/11272] Time 0.718 (0.790) Data 0.001 (0.003) Loss 1.7600 (1.5809) Prec@1 55.625 (57.271) Prec@5 81.875 (85.380) Epoch: [89][2950/11272] Time 0.778 (0.790) Data 0.001 (0.003) Loss 1.5159 (1.5810) Prec@1 58.750 (57.269) Prec@5 86.250 (85.380) Epoch: [89][2960/11272] Time 0.806 (0.790) Data 0.001 (0.003) Loss 1.3773 (1.5809) Prec@1 60.000 (57.269) Prec@5 86.875 (85.381) Epoch: [89][2970/11272] Time 0.728 (0.790) Data 0.001 (0.003) Loss 1.4245 (1.5809) Prec@1 60.625 (57.272) Prec@5 90.625 (85.383) Epoch: [89][2980/11272] Time 0.719 (0.790) Data 0.002 (0.003) Loss 1.5649 (1.5810) Prec@1 55.000 (57.266) Prec@5 89.375 (85.382) Epoch: [89][2990/11272] Time 0.832 (0.790) Data 0.001 (0.003) Loss 1.6570 (1.5810) Prec@1 52.500 (57.262) Prec@5 80.625 (85.379) Epoch: [89][3000/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.4800 (1.5810) Prec@1 58.125 (57.267) Prec@5 87.500 (85.378) Epoch: [89][3010/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.6142 (1.5811) Prec@1 56.875 (57.266) Prec@5 80.625 (85.376) Epoch: [89][3020/11272] Time 0.725 (0.790) Data 0.002 (0.003) Loss 1.8227 (1.5811) Prec@1 58.125 (57.264) Prec@5 81.875 (85.374) Epoch: [89][3030/11272] Time 0.822 (0.790) Data 0.001 (0.003) Loss 1.4345 (1.5812) Prec@1 60.625 (57.259) Prec@5 90.625 (85.374) Epoch: [89][3040/11272] Time 0.892 (0.790) Data 0.001 (0.003) Loss 1.7965 (1.5814) Prec@1 55.000 (57.254) Prec@5 78.125 (85.370) Epoch: [89][3050/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 1.7185 (1.5817) Prec@1 53.750 (57.247) Prec@5 82.500 (85.363) Epoch: [89][3060/11272] Time 0.729 (0.790) Data 0.002 (0.003) Loss 1.7050 (1.5819) Prec@1 52.500 (57.236) Prec@5 81.875 (85.357) Epoch: [89][3070/11272] Time 0.873 (0.790) Data 0.001 (0.003) Loss 1.4972 (1.5817) Prec@1 55.000 (57.240) Prec@5 85.625 (85.358) Epoch: [89][3080/11272] Time 0.726 (0.790) Data 0.003 (0.003) Loss 1.5895 (1.5816) Prec@1 55.000 (57.244) Prec@5 83.125 (85.363) Epoch: [89][3090/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.7282 (1.5819) Prec@1 56.875 (57.242) Prec@5 80.625 (85.357) Epoch: [89][3100/11272] Time 0.878 (0.790) Data 0.001 (0.003) Loss 1.6791 (1.5820) Prec@1 56.250 (57.239) Prec@5 82.500 (85.355) Epoch: [89][3110/11272] Time 0.817 (0.790) Data 0.002 (0.003) Loss 1.7991 (1.5821) Prec@1 52.500 (57.236) Prec@5 83.750 (85.357) Epoch: [89][3120/11272] Time 0.728 (0.790) Data 0.002 (0.003) Loss 1.4834 (1.5820) Prec@1 61.875 (57.238) Prec@5 85.625 (85.358) Epoch: [89][3130/11272] Time 0.735 (0.790) Data 0.001 (0.003) Loss 1.5084 (1.5818) Prec@1 60.000 (57.245) Prec@5 83.125 (85.361) Epoch: [89][3140/11272] Time 0.887 (0.790) Data 0.002 (0.003) Loss 1.3990 (1.5816) Prec@1 63.125 (57.251) Prec@5 88.125 (85.363) Epoch: [89][3150/11272] Time 0.831 (0.790) Data 0.002 (0.003) Loss 1.5472 (1.5817) Prec@1 57.500 (57.252) Prec@5 84.375 (85.358) Epoch: [89][3160/11272] Time 0.747 (0.790) Data 0.002 (0.003) Loss 1.5056 (1.5817) Prec@1 60.625 (57.248) Prec@5 86.875 (85.358) Epoch: [89][3170/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.6471 (1.5817) Prec@1 55.625 (57.246) Prec@5 84.375 (85.360) Epoch: [89][3180/11272] Time 0.845 (0.790) Data 0.002 (0.003) Loss 1.4762 (1.5817) Prec@1 57.500 (57.246) Prec@5 85.625 (85.362) Epoch: [89][3190/11272] Time 0.846 (0.790) Data 0.002 (0.003) Loss 1.4952 (1.5817) Prec@1 58.750 (57.246) Prec@5 87.500 (85.365) Epoch: [89][3200/11272] Time 0.780 (0.790) Data 0.002 (0.003) Loss 1.6584 (1.5819) Prec@1 49.375 (57.238) Prec@5 88.125 (85.363) Epoch: [89][3210/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.6218 (1.5820) Prec@1 51.875 (57.231) Prec@5 83.750 (85.360) Epoch: [89][3220/11272] Time 0.886 (0.790) Data 0.002 (0.003) Loss 1.4774 (1.5820) Prec@1 59.375 (57.230) Prec@5 83.750 (85.356) Epoch: [89][3230/11272] Time 0.734 (0.790) Data 0.002 (0.003) Loss 1.6603 (1.5822) Prec@1 56.875 (57.225) Prec@5 85.625 (85.352) Epoch: [89][3240/11272] Time 0.735 (0.790) Data 0.001 (0.003) Loss 1.4894 (1.5822) Prec@1 52.500 (57.223) Prec@5 85.625 (85.348) Epoch: [89][3250/11272] Time 0.852 (0.790) Data 0.002 (0.003) Loss 2.0082 (1.5825) Prec@1 42.500 (57.217) Prec@5 76.250 (85.345) Epoch: [89][3260/11272] Time 0.841 (0.790) Data 0.002 (0.003) Loss 1.8181 (1.5825) Prec@1 50.000 (57.213) Prec@5 82.500 (85.347) Epoch: [89][3270/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.6484 (1.5827) Prec@1 50.000 (57.204) Prec@5 86.250 (85.347) Epoch: [89][3280/11272] Time 0.754 (0.790) Data 0.002 (0.003) Loss 1.7078 (1.5829) Prec@1 51.250 (57.195) Prec@5 83.750 (85.345) Epoch: [89][3290/11272] Time 0.860 (0.790) Data 0.002 (0.003) Loss 1.5318 (1.5828) Prec@1 59.375 (57.195) Prec@5 85.625 (85.347) Epoch: [89][3300/11272] Time 0.880 (0.790) Data 0.002 (0.003) Loss 1.5615 (1.5831) Prec@1 55.625 (57.188) Prec@5 86.250 (85.344) Epoch: [89][3310/11272] Time 0.703 (0.790) Data 0.001 (0.003) Loss 1.7228 (1.5830) Prec@1 54.375 (57.187) Prec@5 82.500 (85.346) Epoch: [89][3320/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.3432 (1.5830) Prec@1 62.500 (57.188) Prec@5 89.375 (85.345) Epoch: [89][3330/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.6000 (1.5831) Prec@1 59.375 (57.189) Prec@5 82.500 (85.343) Epoch: [89][3340/11272] Time 0.840 (0.790) Data 0.002 (0.003) Loss 1.6289 (1.5830) Prec@1 57.500 (57.190) Prec@5 86.875 (85.347) Epoch: [89][3350/11272] Time 0.728 (0.790) Data 0.001 (0.003) Loss 1.5426 (1.5830) Prec@1 55.625 (57.187) Prec@5 86.875 (85.347) Epoch: [89][3360/11272] Time 0.811 (0.790) Data 0.001 (0.003) Loss 1.6051 (1.5829) Prec@1 58.750 (57.188) Prec@5 85.000 (85.349) Epoch: [89][3370/11272] Time 0.849 (0.790) Data 0.001 (0.003) Loss 1.3789 (1.5829) Prec@1 61.875 (57.190) Prec@5 86.250 (85.347) Epoch: [89][3380/11272] Time 0.758 (0.790) Data 0.001 (0.003) Loss 1.6762 (1.5829) Prec@1 59.375 (57.188) Prec@5 85.000 (85.347) Epoch: [89][3390/11272] Time 0.726 (0.790) Data 0.001 (0.003) Loss 1.4664 (1.5829) Prec@1 58.125 (57.189) Prec@5 84.375 (85.345) Epoch: [89][3400/11272] Time 0.823 (0.790) Data 0.001 (0.003) Loss 1.7282 (1.5830) Prec@1 53.750 (57.185) Prec@5 83.125 (85.347) Epoch: [89][3410/11272] Time 0.842 (0.790) Data 0.001 (0.003) Loss 1.7826 (1.5831) Prec@1 49.375 (57.186) Prec@5 81.875 (85.344) Epoch: [89][3420/11272] Time 0.774 (0.790) Data 0.001 (0.003) Loss 1.5981 (1.5832) Prec@1 57.500 (57.185) Prec@5 85.000 (85.345) Epoch: [89][3430/11272] Time 0.746 (0.790) Data 0.002 (0.003) Loss 1.7658 (1.5833) Prec@1 50.625 (57.178) Prec@5 82.500 (85.343) Epoch: [89][3440/11272] Time 0.826 (0.790) Data 0.001 (0.003) Loss 1.7100 (1.5832) Prec@1 51.875 (57.175) Prec@5 83.125 (85.345) Epoch: [89][3450/11272] Time 0.817 (0.790) Data 0.001 (0.003) Loss 1.6338 (1.5831) Prec@1 56.875 (57.177) Prec@5 85.625 (85.347) Epoch: [89][3460/11272] Time 0.724 (0.790) Data 0.001 (0.003) Loss 1.3791 (1.5832) Prec@1 65.625 (57.177) Prec@5 89.375 (85.347) Epoch: [89][3470/11272] Time 0.707 (0.790) Data 0.001 (0.003) Loss 1.4585 (1.5830) Prec@1 63.750 (57.181) Prec@5 85.625 (85.350) Epoch: [89][3480/11272] Time 0.850 (0.790) Data 0.002 (0.003) Loss 1.6796 (1.5833) Prec@1 51.875 (57.176) Prec@5 85.000 (85.346) Epoch: [89][3490/11272] Time 0.726 (0.790) Data 0.001 (0.003) Loss 1.6046 (1.5832) Prec@1 61.875 (57.182) Prec@5 86.875 (85.349) Epoch: [89][3500/11272] Time 0.719 (0.790) Data 0.002 (0.003) Loss 1.7250 (1.5833) Prec@1 54.375 (57.177) Prec@5 81.250 (85.349) Epoch: [89][3510/11272] Time 0.859 (0.790) Data 0.002 (0.003) Loss 1.5885 (1.5833) Prec@1 60.625 (57.174) Prec@5 86.250 (85.349) Epoch: [89][3520/11272] Time 0.854 (0.790) Data 0.003 (0.003) Loss 1.7154 (1.5834) Prec@1 55.000 (57.172) Prec@5 84.375 (85.348) Epoch: [89][3530/11272] Time 0.748 (0.790) Data 0.001 (0.003) Loss 1.5740 (1.5836) Prec@1 58.750 (57.167) Prec@5 86.875 (85.348) Epoch: [89][3540/11272] Time 0.729 (0.790) Data 0.002 (0.003) Loss 1.6607 (1.5837) Prec@1 50.000 (57.162) Prec@5 86.250 (85.347) Epoch: [89][3550/11272] Time 0.821 (0.790) Data 0.001 (0.003) Loss 1.7128 (1.5837) Prec@1 50.000 (57.163) Prec@5 83.750 (85.348) Epoch: [89][3560/11272] Time 0.856 (0.790) Data 0.001 (0.003) Loss 1.5386 (1.5836) Prec@1 60.000 (57.165) Prec@5 87.500 (85.353) Epoch: [89][3570/11272] Time 0.728 (0.790) Data 0.002 (0.003) Loss 1.5268 (1.5834) Prec@1 61.250 (57.174) Prec@5 86.250 (85.358) Epoch: [89][3580/11272] Time 0.705 (0.790) Data 0.001 (0.003) Loss 1.4868 (1.5834) Prec@1 62.500 (57.173) Prec@5 85.625 (85.356) Epoch: [89][3590/11272] Time 0.855 (0.790) Data 0.002 (0.003) Loss 1.7236 (1.5835) Prec@1 54.375 (57.171) Prec@5 83.125 (85.349) Epoch: [89][3600/11272] Time 0.827 (0.790) Data 0.001 (0.003) Loss 1.6561 (1.5836) Prec@1 57.500 (57.170) Prec@5 85.000 (85.350) Epoch: [89][3610/11272] Time 0.745 (0.790) Data 0.002 (0.003) Loss 1.8626 (1.5838) Prec@1 48.125 (57.164) Prec@5 82.500 (85.345) Epoch: [89][3620/11272] Time 0.898 (0.790) Data 0.001 (0.003) Loss 1.4924 (1.5839) Prec@1 59.375 (57.159) Prec@5 88.750 (85.344) Epoch: [89][3630/11272] Time 0.863 (0.790) Data 0.002 (0.003) Loss 1.7111 (1.5839) Prec@1 53.125 (57.162) Prec@5 82.500 (85.344) Epoch: [89][3640/11272] Time 0.708 (0.790) Data 0.001 (0.003) Loss 1.4636 (1.5840) Prec@1 61.250 (57.162) Prec@5 86.875 (85.339) Epoch: [89][3650/11272] Time 0.756 (0.790) Data 0.002 (0.003) Loss 1.6974 (1.5840) Prec@1 54.375 (57.164) Prec@5 88.750 (85.341) Epoch: [89][3660/11272] Time 0.835 (0.790) Data 0.001 (0.003) Loss 1.6645 (1.5843) Prec@1 53.125 (57.157) Prec@5 83.125 (85.336) Epoch: [89][3670/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.6864 (1.5843) Prec@1 55.000 (57.159) Prec@5 85.000 (85.338) Epoch: [89][3680/11272] Time 0.733 (0.790) Data 0.002 (0.003) Loss 1.6983 (1.5842) Prec@1 58.125 (57.162) Prec@5 81.250 (85.338) Epoch: [89][3690/11272] Time 0.713 (0.790) Data 0.001 (0.003) Loss 1.6952 (1.5844) Prec@1 59.375 (57.159) Prec@5 81.250 (85.335) Epoch: [89][3700/11272] Time 0.819 (0.790) Data 0.001 (0.003) Loss 1.5755 (1.5845) Prec@1 53.750 (57.152) Prec@5 85.000 (85.333) Epoch: [89][3710/11272] Time 0.860 (0.790) Data 0.001 (0.003) Loss 1.5417 (1.5845) Prec@1 56.875 (57.151) Prec@5 86.875 (85.336) Epoch: [89][3720/11272] Time 0.732 (0.790) Data 0.001 (0.003) Loss 1.5601 (1.5845) Prec@1 53.750 (57.149) Prec@5 88.750 (85.334) Epoch: [89][3730/11272] Time 0.777 (0.790) Data 0.002 (0.003) Loss 2.0450 (1.5845) Prec@1 44.375 (57.149) Prec@5 79.375 (85.335) Epoch: [89][3740/11272] Time 0.830 (0.790) Data 0.001 (0.003) Loss 1.5797 (1.5845) Prec@1 60.000 (57.151) Prec@5 85.625 (85.334) Epoch: [89][3750/11272] Time 0.711 (0.790) Data 0.002 (0.003) Loss 1.6977 (1.5844) Prec@1 55.625 (57.154) Prec@5 80.625 (85.332) Epoch: [89][3760/11272] Time 0.714 (0.790) Data 0.001 (0.003) Loss 1.5137 (1.5843) Prec@1 60.000 (57.154) Prec@5 85.625 (85.331) Epoch: [89][3770/11272] Time 0.857 (0.790) Data 0.002 (0.003) Loss 1.7215 (1.5842) Prec@1 52.500 (57.153) Prec@5 86.250 (85.336) Epoch: [89][3780/11272] Time 0.823 (0.790) Data 0.001 (0.003) Loss 1.6951 (1.5843) Prec@1 53.750 (57.150) Prec@5 82.500 (85.336) Epoch: [89][3790/11272] Time 0.768 (0.790) Data 0.002 (0.003) Loss 1.5694 (1.5841) Prec@1 60.625 (57.158) Prec@5 85.625 (85.339) Epoch: [89][3800/11272] Time 0.807 (0.790) Data 0.002 (0.003) Loss 1.6539 (1.5842) Prec@1 53.750 (57.155) Prec@5 81.875 (85.335) Epoch: [89][3810/11272] Time 0.841 (0.790) Data 0.002 (0.003) Loss 1.8716 (1.5842) Prec@1 46.875 (57.155) Prec@5 81.875 (85.334) Epoch: [89][3820/11272] Time 0.871 (0.790) Data 0.001 (0.003) Loss 1.3844 (1.5842) Prec@1 61.250 (57.156) Prec@5 91.250 (85.337) Epoch: [89][3830/11272] Time 0.747 (0.790) Data 0.001 (0.003) Loss 1.4951 (1.5840) Prec@1 56.875 (57.158) Prec@5 86.250 (85.339) Epoch: [89][3840/11272] Time 0.722 (0.790) Data 0.002 (0.003) Loss 1.6179 (1.5841) Prec@1 60.625 (57.159) Prec@5 83.125 (85.335) Epoch: [89][3850/11272] Time 0.845 (0.790) Data 0.002 (0.003) Loss 1.6331 (1.5842) Prec@1 55.625 (57.154) Prec@5 83.125 (85.335) Epoch: [89][3860/11272] Time 0.833 (0.790) Data 0.001 (0.003) Loss 1.4913 (1.5843) Prec@1 51.875 (57.151) Prec@5 87.500 (85.334) Epoch: [89][3870/11272] Time 0.724 (0.790) Data 0.001 (0.003) Loss 1.5215 (1.5844) Prec@1 59.375 (57.151) Prec@5 85.625 (85.335) Epoch: [89][3880/11272] Time 0.845 (0.790) Data 0.002 (0.003) Loss 1.5157 (1.5844) Prec@1 55.625 (57.151) Prec@5 86.250 (85.334) Epoch: [89][3890/11272] Time 0.848 (0.790) Data 0.001 (0.003) Loss 1.7771 (1.5845) Prec@1 50.000 (57.150) Prec@5 84.375 (85.332) Epoch: [89][3900/11272] Time 0.783 (0.790) Data 0.002 (0.003) Loss 1.5902 (1.5844) Prec@1 54.375 (57.149) Prec@5 86.250 (85.334) Epoch: [89][3910/11272] Time 0.728 (0.790) Data 0.002 (0.003) Loss 1.3173 (1.5845) Prec@1 65.000 (57.148) Prec@5 88.750 (85.332) Epoch: [89][3920/11272] Time 0.873 (0.790) Data 0.001 (0.003) Loss 1.5103 (1.5845) Prec@1 54.375 (57.147) Prec@5 87.500 (85.331) Epoch: [89][3930/11272] Time 0.880 (0.790) Data 0.002 (0.003) Loss 1.6212 (1.5845) Prec@1 54.375 (57.144) Prec@5 84.375 (85.328) Epoch: [89][3940/11272] Time 0.748 (0.790) Data 0.003 (0.003) Loss 1.7289 (1.5845) Prec@1 53.750 (57.142) Prec@5 80.625 (85.330) Epoch: [89][3950/11272] Time 0.735 (0.790) Data 0.001 (0.003) Loss 1.4928 (1.5844) Prec@1 62.500 (57.146) Prec@5 88.125 (85.331) Epoch: [89][3960/11272] Time 0.948 (0.790) Data 0.002 (0.003) Loss 1.5975 (1.5845) Prec@1 56.250 (57.148) Prec@5 85.000 (85.328) Epoch: [89][3970/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.7371 (1.5846) Prec@1 54.375 (57.145) Prec@5 80.625 (85.327) Epoch: [89][3980/11272] Time 0.746 (0.790) Data 0.002 (0.003) Loss 1.7025 (1.5847) Prec@1 51.875 (57.144) Prec@5 84.375 (85.325) Epoch: [89][3990/11272] Time 0.717 (0.790) Data 0.002 (0.003) Loss 1.6296 (1.5849) Prec@1 55.625 (57.138) Prec@5 81.875 (85.322) Epoch: [89][4000/11272] Time 0.837 (0.790) Data 0.001 (0.003) Loss 1.5771 (1.5850) Prec@1 55.000 (57.135) Prec@5 85.000 (85.321) Epoch: [89][4010/11272] Time 0.726 (0.790) Data 0.003 (0.003) Loss 1.5042 (1.5850) Prec@1 65.625 (57.136) Prec@5 86.875 (85.323) Epoch: [89][4020/11272] Time 0.719 (0.790) Data 0.001 (0.003) Loss 1.4945 (1.5851) Prec@1 60.625 (57.136) Prec@5 85.625 (85.322) Epoch: [89][4030/11272] Time 0.839 (0.790) Data 0.001 (0.003) Loss 1.5276 (1.5852) Prec@1 64.375 (57.132) Prec@5 85.000 (85.320) Epoch: [89][4040/11272] Time 0.868 (0.790) Data 0.002 (0.003) Loss 1.5252 (1.5852) Prec@1 55.625 (57.133) Prec@5 86.250 (85.318) Epoch: [89][4050/11272] Time 0.726 (0.790) Data 0.001 (0.003) Loss 1.6880 (1.5853) Prec@1 61.250 (57.135) Prec@5 81.250 (85.318) Epoch: [89][4060/11272] Time 0.714 (0.790) Data 0.002 (0.003) Loss 1.4857 (1.5852) Prec@1 60.625 (57.139) Prec@5 85.625 (85.319) Epoch: [89][4070/11272] Time 0.835 (0.790) Data 0.002 (0.003) Loss 1.8351 (1.5852) Prec@1 51.875 (57.137) Prec@5 78.125 (85.318) Epoch: [89][4080/11272] Time 0.830 (0.790) Data 0.002 (0.003) Loss 1.7587 (1.5852) Prec@1 52.500 (57.140) Prec@5 82.500 (85.318) Epoch: [89][4090/11272] Time 0.737 (0.790) Data 0.001 (0.003) Loss 1.4499 (1.5850) Prec@1 55.000 (57.144) Prec@5 86.875 (85.321) Epoch: [89][4100/11272] Time 0.717 (0.790) Data 0.002 (0.003) Loss 1.7935 (1.5852) Prec@1 48.750 (57.143) Prec@5 80.625 (85.318) Epoch: [89][4110/11272] Time 0.867 (0.790) Data 0.001 (0.003) Loss 1.5352 (1.5852) Prec@1 63.125 (57.145) Prec@5 83.750 (85.318) Epoch: [89][4120/11272] Time 0.854 (0.790) Data 0.001 (0.003) Loss 1.7134 (1.5853) Prec@1 57.500 (57.141) Prec@5 80.000 (85.314) Epoch: [89][4130/11272] Time 0.745 (0.790) Data 0.002 (0.003) Loss 1.5227 (1.5854) Prec@1 60.000 (57.142) Prec@5 83.750 (85.313) Epoch: [89][4140/11272] Time 0.893 (0.790) Data 0.001 (0.003) Loss 1.6178 (1.5854) Prec@1 54.375 (57.141) Prec@5 85.000 (85.315) Epoch: [89][4150/11272] Time 0.843 (0.790) Data 0.002 (0.003) Loss 1.6576 (1.5855) Prec@1 55.000 (57.138) Prec@5 84.375 (85.315) Epoch: [89][4160/11272] Time 0.727 (0.790) Data 0.001 (0.003) Loss 1.4434 (1.5854) Prec@1 66.250 (57.140) Prec@5 84.375 (85.316) Epoch: [89][4170/11272] Time 0.729 (0.790) Data 0.002 (0.003) Loss 1.5023 (1.5854) Prec@1 56.875 (57.142) Prec@5 86.875 (85.315) Epoch: [89][4180/11272] Time 0.855 (0.790) Data 0.001 (0.003) Loss 1.5967 (1.5854) Prec@1 51.875 (57.140) Prec@5 86.875 (85.315) Epoch: [89][4190/11272] Time 0.849 (0.790) Data 0.001 (0.003) Loss 1.7372 (1.5855) Prec@1 54.375 (57.137) Prec@5 84.375 (85.316) Epoch: [89][4200/11272] Time 0.738 (0.790) Data 0.002 (0.003) Loss 1.7377 (1.5854) Prec@1 58.750 (57.144) Prec@5 82.500 (85.316) Epoch: [89][4210/11272] Time 0.726 (0.790) Data 0.001 (0.003) Loss 1.5906 (1.5855) Prec@1 59.375 (57.139) Prec@5 85.000 (85.313) Epoch: [89][4220/11272] Time 0.845 (0.790) Data 0.001 (0.003) Loss 1.7014 (1.5855) Prec@1 55.000 (57.142) Prec@5 83.125 (85.312) Epoch: [89][4230/11272] Time 0.837 (0.790) Data 0.002 (0.003) Loss 1.5255 (1.5855) Prec@1 58.125 (57.139) Prec@5 85.000 (85.312) Epoch: [89][4240/11272] Time 0.718 (0.790) Data 0.002 (0.003) Loss 1.4850 (1.5855) Prec@1 62.500 (57.139) Prec@5 86.875 (85.311) Epoch: [89][4250/11272] Time 0.763 (0.790) Data 0.001 (0.003) Loss 1.5766 (1.5856) Prec@1 55.625 (57.137) Prec@5 86.250 (85.311) Epoch: [89][4260/11272] Time 0.847 (0.790) Data 0.001 (0.003) Loss 2.0117 (1.5858) Prec@1 45.625 (57.130) Prec@5 81.875 (85.308) Epoch: [89][4270/11272] Time 0.813 (0.790) Data 0.001 (0.003) Loss 1.5823 (1.5858) Prec@1 53.125 (57.127) Prec@5 89.375 (85.310) Epoch: [89][4280/11272] Time 0.713 (0.790) Data 0.001 (0.003) Loss 1.7096 (1.5858) Prec@1 56.875 (57.129) Prec@5 82.500 (85.312) Epoch: [89][4290/11272] Time 0.903 (0.790) Data 0.002 (0.003) Loss 1.4382 (1.5857) Prec@1 60.000 (57.133) Prec@5 86.875 (85.312) Epoch: [89][4300/11272] Time 0.845 (0.790) Data 0.001 (0.003) Loss 1.5848 (1.5856) Prec@1 51.875 (57.129) Prec@5 86.875 (85.312) Epoch: [89][4310/11272] Time 0.718 (0.790) Data 0.001 (0.003) Loss 1.6763 (1.5857) Prec@1 52.500 (57.125) Prec@5 81.250 (85.311) Epoch: [89][4320/11272] Time 0.715 (0.790) Data 0.001 (0.003) Loss 1.7113 (1.5859) Prec@1 51.875 (57.121) Prec@5 83.750 (85.307) Epoch: [89][4330/11272] Time 0.810 (0.790) Data 0.001 (0.003) Loss 1.7729 (1.5860) Prec@1 56.875 (57.122) Prec@5 83.125 (85.306) Epoch: [89][4340/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.6314 (1.5860) Prec@1 60.000 (57.123) Prec@5 84.375 (85.306) Epoch: [89][4350/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.4923 (1.5859) Prec@1 58.750 (57.121) Prec@5 85.625 (85.308) Epoch: [89][4360/11272] Time 0.705 (0.790) Data 0.001 (0.002) Loss 1.4409 (1.5858) Prec@1 60.000 (57.123) Prec@5 90.000 (85.311) Epoch: [89][4370/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.5946 (1.5857) Prec@1 53.750 (57.125) Prec@5 85.625 (85.314) Epoch: [89][4380/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.5271 (1.5858) Prec@1 61.250 (57.124) Prec@5 81.875 (85.311) Epoch: [89][4390/11272] Time 0.724 (0.790) Data 0.002 (0.002) Loss 1.6771 (1.5859) Prec@1 50.000 (57.124) Prec@5 83.125 (85.307) Epoch: [89][4400/11272] Time 0.721 (0.790) Data 0.001 (0.002) Loss 1.5652 (1.5858) Prec@1 56.875 (57.126) Prec@5 86.250 (85.309) Epoch: [89][4410/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.6429 (1.5858) Prec@1 59.375 (57.126) Prec@5 84.375 (85.308) Epoch: [89][4420/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.8265 (1.5859) Prec@1 51.250 (57.126) Prec@5 83.750 (85.308) Epoch: [89][4430/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.9002 (1.5860) Prec@1 47.500 (57.124) Prec@5 80.625 (85.303) Epoch: [89][4440/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.5579 (1.5861) Prec@1 56.875 (57.120) Prec@5 85.000 (85.301) Epoch: [89][4450/11272] Time 0.850 (0.790) Data 0.002 (0.002) Loss 1.4123 (1.5860) Prec@1 65.000 (57.125) Prec@5 89.375 (85.304) Epoch: [89][4460/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.4712 (1.5860) Prec@1 55.625 (57.126) Prec@5 87.500 (85.302) Epoch: [89][4470/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.6076 (1.5860) Prec@1 59.375 (57.127) Prec@5 86.250 (85.302) Epoch: [89][4480/11272] Time 0.886 (0.790) Data 0.002 (0.002) Loss 1.6480 (1.5862) Prec@1 58.750 (57.122) Prec@5 84.375 (85.300) Epoch: [89][4490/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.6865 (1.5862) Prec@1 57.500 (57.122) Prec@5 81.250 (85.299) Epoch: [89][4500/11272] Time 0.728 (0.790) Data 0.002 (0.002) Loss 1.7278 (1.5863) Prec@1 55.625 (57.121) Prec@5 81.250 (85.297) Epoch: [89][4510/11272] Time 0.732 (0.790) Data 0.002 (0.002) Loss 1.6114 (1.5864) Prec@1 57.500 (57.120) Prec@5 87.500 (85.297) Epoch: [89][4520/11272] Time 0.897 (0.790) Data 0.001 (0.002) Loss 1.5866 (1.5865) Prec@1 58.750 (57.118) Prec@5 85.000 (85.293) Epoch: [89][4530/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.6439 (1.5866) Prec@1 57.500 (57.116) Prec@5 80.625 (85.290) Epoch: [89][4540/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.3470 (1.5866) Prec@1 60.625 (57.114) Prec@5 92.500 (85.290) Epoch: [89][4550/11272] Time 0.862 (0.790) Data 0.003 (0.002) Loss 1.3954 (1.5867) Prec@1 62.500 (57.110) Prec@5 88.750 (85.288) Epoch: [89][4560/11272] Time 0.837 (0.790) Data 0.002 (0.002) Loss 1.9059 (1.5868) Prec@1 50.625 (57.107) Prec@5 80.000 (85.288) Epoch: [89][4570/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.6824 (1.5868) Prec@1 51.875 (57.105) Prec@5 85.625 (85.291) Epoch: [89][4580/11272] Time 0.784 (0.790) Data 0.001 (0.002) Loss 1.4993 (1.5868) Prec@1 58.750 (57.103) Prec@5 88.125 (85.291) Epoch: [89][4590/11272] Time 0.867 (0.790) Data 0.002 (0.002) Loss 1.4999 (1.5870) Prec@1 58.125 (57.102) Prec@5 87.500 (85.288) Epoch: [89][4600/11272] Time 0.819 (0.790) Data 0.002 (0.002) Loss 1.6887 (1.5870) Prec@1 51.875 (57.097) Prec@5 82.500 (85.288) Epoch: [89][4610/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.6859 (1.5871) Prec@1 54.375 (57.095) Prec@5 83.125 (85.284) Epoch: [89][4620/11272] Time 0.757 (0.790) Data 0.001 (0.002) Loss 1.4484 (1.5872) Prec@1 59.375 (57.090) Prec@5 86.250 (85.283) Epoch: [89][4630/11272] Time 0.874 (0.790) Data 0.002 (0.002) Loss 1.2893 (1.5871) Prec@1 63.125 (57.092) Prec@5 89.375 (85.283) Epoch: [89][4640/11272] Time 0.793 (0.790) Data 0.001 (0.002) Loss 1.5719 (1.5870) Prec@1 56.875 (57.095) Prec@5 85.000 (85.285) Epoch: [89][4650/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.8594 (1.5872) Prec@1 53.750 (57.092) Prec@5 79.375 (85.280) Epoch: [89][4660/11272] Time 0.742 (0.790) Data 0.001 (0.002) Loss 1.7096 (1.5874) Prec@1 50.625 (57.089) Prec@5 83.750 (85.276) Epoch: [89][4670/11272] Time 0.869 (0.790) Data 0.001 (0.002) Loss 1.5262 (1.5873) Prec@1 59.375 (57.091) Prec@5 88.125 (85.278) Epoch: [89][4680/11272] Time 0.695 (0.790) Data 0.003 (0.002) Loss 1.3362 (1.5874) Prec@1 61.250 (57.089) Prec@5 88.125 (85.276) Epoch: [89][4690/11272] Time 0.708 (0.790) Data 0.001 (0.002) Loss 1.4913 (1.5874) Prec@1 62.500 (57.093) Prec@5 85.000 (85.275) Epoch: [89][4700/11272] Time 0.869 (0.790) Data 0.001 (0.002) Loss 1.6512 (1.5874) Prec@1 60.000 (57.093) Prec@5 84.375 (85.274) Epoch: [89][4710/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.8324 (1.5875) Prec@1 53.750 (57.091) Prec@5 81.250 (85.273) Epoch: [89][4720/11272] Time 0.710 (0.790) Data 0.001 (0.002) Loss 1.5277 (1.5875) Prec@1 60.625 (57.092) Prec@5 88.750 (85.277) Epoch: [89][4730/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.6766 (1.5874) Prec@1 52.500 (57.093) Prec@5 83.125 (85.278) Epoch: [89][4740/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.5928 (1.5875) Prec@1 53.750 (57.091) Prec@5 82.500 (85.277) Epoch: [89][4750/11272] Time 0.808 (0.790) Data 0.002 (0.002) Loss 1.5412 (1.5874) Prec@1 59.375 (57.092) Prec@5 83.750 (85.276) Epoch: [89][4760/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.5476 (1.5873) Prec@1 60.625 (57.095) Prec@5 84.375 (85.276) Epoch: [89][4770/11272] Time 0.733 (0.790) Data 0.002 (0.002) Loss 1.5222 (1.5871) Prec@1 58.125 (57.099) Prec@5 88.750 (85.279) Epoch: [89][4780/11272] Time 0.845 (0.790) Data 0.002 (0.002) Loss 1.5811 (1.5871) Prec@1 53.750 (57.098) Prec@5 86.875 (85.279) Epoch: [89][4790/11272] Time 0.859 (0.790) Data 0.001 (0.002) Loss 1.7606 (1.5871) Prec@1 55.625 (57.098) Prec@5 83.750 (85.282) Epoch: [89][4800/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.8053 (1.5870) Prec@1 56.250 (57.101) Prec@5 82.500 (85.284) Epoch: [89][4810/11272] Time 0.885 (0.790) Data 0.001 (0.002) Loss 1.7894 (1.5872) Prec@1 50.625 (57.097) Prec@5 85.000 (85.281) Epoch: [89][4820/11272] Time 0.841 (0.790) Data 0.002 (0.002) Loss 1.7651 (1.5873) Prec@1 51.250 (57.094) Prec@5 81.875 (85.280) Epoch: [89][4830/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.5444 (1.5873) Prec@1 56.250 (57.096) Prec@5 86.875 (85.278) Epoch: [89][4840/11272] Time 0.703 (0.790) Data 0.001 (0.002) Loss 1.3700 (1.5873) Prec@1 63.750 (57.095) Prec@5 90.000 (85.279) Epoch: [89][4850/11272] Time 0.978 (0.790) Data 0.002 (0.002) Loss 1.6950 (1.5874) Prec@1 55.625 (57.097) Prec@5 82.500 (85.278) Epoch: [89][4860/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.2697 (1.5873) Prec@1 65.625 (57.100) Prec@5 91.250 (85.278) Epoch: [89][4870/11272] Time 0.747 (0.790) Data 0.003 (0.002) Loss 1.8006 (1.5874) Prec@1 51.875 (57.097) Prec@5 83.750 (85.278) Epoch: [89][4880/11272] Time 0.711 (0.790) Data 0.001 (0.002) Loss 1.6541 (1.5873) Prec@1 54.375 (57.098) Prec@5 82.500 (85.280) Epoch: [89][4890/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.5333 (1.5874) Prec@1 56.875 (57.094) Prec@5 86.875 (85.280) Epoch: [89][4900/11272] Time 0.828 (0.790) Data 0.002 (0.002) Loss 1.2783 (1.5873) Prec@1 64.375 (57.097) Prec@5 90.625 (85.281) Epoch: [89][4910/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.4952 (1.5872) Prec@1 61.250 (57.096) Prec@5 85.625 (85.283) Epoch: [89][4920/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.5647 (1.5873) Prec@1 55.625 (57.096) Prec@5 88.125 (85.283) Epoch: [89][4930/11272] Time 0.828 (0.790) Data 0.002 (0.002) Loss 1.8013 (1.5873) Prec@1 50.625 (57.093) Prec@5 76.250 (85.283) Epoch: [89][4940/11272] Time 0.714 (0.790) Data 0.003 (0.002) Loss 1.6904 (1.5875) Prec@1 48.750 (57.085) Prec@5 85.625 (85.282) Epoch: [89][4950/11272] Time 0.726 (0.790) Data 0.003 (0.002) Loss 1.4974 (1.5875) Prec@1 57.500 (57.085) Prec@5 88.125 (85.281) Epoch: [89][4960/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.6978 (1.5875) Prec@1 53.125 (57.087) Prec@5 85.625 (85.282) Epoch: [89][4970/11272] Time 0.847 (0.790) Data 0.002 (0.002) Loss 1.3095 (1.5875) Prec@1 63.750 (57.087) Prec@5 92.500 (85.283) Epoch: [89][4980/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.5982 (1.5875) Prec@1 60.625 (57.090) Prec@5 81.875 (85.281) Epoch: [89][4990/11272] Time 0.761 (0.790) Data 0.002 (0.002) Loss 1.5322 (1.5873) Prec@1 56.875 (57.096) Prec@5 87.500 (85.284) Epoch: [89][5000/11272] Time 0.856 (0.790) Data 0.001 (0.002) Loss 1.6485 (1.5874) Prec@1 53.125 (57.091) Prec@5 81.875 (85.282) Epoch: [89][5010/11272] Time 0.838 (0.790) Data 0.001 (0.002) Loss 1.8747 (1.5877) Prec@1 49.375 (57.085) Prec@5 80.625 (85.276) Epoch: [89][5020/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.6481 (1.5877) Prec@1 58.125 (57.084) Prec@5 86.250 (85.278) Epoch: [89][5030/11272] Time 0.761 (0.790) Data 0.001 (0.002) Loss 1.7438 (1.5878) Prec@1 51.875 (57.083) Prec@5 79.375 (85.278) Epoch: [89][5040/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.5695 (1.5877) Prec@1 56.875 (57.084) Prec@5 86.250 (85.279) Epoch: [89][5050/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.8413 (1.5878) Prec@1 55.625 (57.082) Prec@5 83.750 (85.278) Epoch: [89][5060/11272] Time 0.725 (0.790) Data 0.002 (0.002) Loss 1.6301 (1.5879) Prec@1 55.000 (57.079) Prec@5 84.375 (85.277) Epoch: [89][5070/11272] Time 0.870 (0.790) Data 0.002 (0.002) Loss 1.5704 (1.5878) Prec@1 56.875 (57.079) Prec@5 85.000 (85.276) Epoch: [89][5080/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 1.6944 (1.5878) Prec@1 53.750 (57.082) Prec@5 86.250 (85.276) Epoch: [89][5090/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 1.6093 (1.5878) Prec@1 60.000 (57.082) Prec@5 86.875 (85.276) Epoch: [89][5100/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.6314 (1.5877) Prec@1 55.000 (57.083) Prec@5 87.500 (85.277) Epoch: [89][5110/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.8325 (1.5877) Prec@1 56.875 (57.085) Prec@5 81.875 (85.277) Epoch: [89][5120/11272] Time 0.840 (0.790) Data 0.002 (0.002) Loss 1.5941 (1.5876) Prec@1 59.375 (57.085) Prec@5 86.250 (85.278) Epoch: [89][5130/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.5322 (1.5876) Prec@1 58.750 (57.082) Prec@5 86.250 (85.280) Epoch: [89][5140/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.5336 (1.5875) Prec@1 57.500 (57.084) Prec@5 86.250 (85.280) Epoch: [89][5150/11272] Time 0.877 (0.790) Data 0.001 (0.002) Loss 1.6368 (1.5875) Prec@1 56.875 (57.086) Prec@5 83.125 (85.280) Epoch: [89][5160/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.8135 (1.5875) Prec@1 47.500 (57.088) Prec@5 80.000 (85.279) Epoch: [89][5170/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.7558 (1.5875) Prec@1 50.625 (57.088) Prec@5 84.375 (85.277) Epoch: [89][5180/11272] Time 0.722 (0.790) Data 0.002 (0.002) Loss 1.8767 (1.5876) Prec@1 48.750 (57.086) Prec@5 81.875 (85.275) Epoch: [89][5190/11272] Time 0.841 (0.790) Data 0.002 (0.002) Loss 1.5314 (1.5877) Prec@1 60.000 (57.086) Prec@5 88.750 (85.277) Epoch: [89][5200/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.6403 (1.5878) Prec@1 54.375 (57.082) Prec@5 85.000 (85.276) Epoch: [89][5210/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.6519 (1.5877) Prec@1 50.000 (57.084) Prec@5 85.625 (85.278) Epoch: [89][5220/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 1.3720 (1.5878) Prec@1 63.125 (57.085) Prec@5 87.500 (85.277) Epoch: [89][5230/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.5949 (1.5878) Prec@1 58.750 (57.085) Prec@5 83.750 (85.277) Epoch: [89][5240/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.6257 (1.5877) Prec@1 59.375 (57.089) Prec@5 82.500 (85.277) Epoch: [89][5250/11272] Time 0.743 (0.790) Data 0.001 (0.002) Loss 1.5695 (1.5877) Prec@1 60.000 (57.092) Prec@5 86.250 (85.278) Epoch: [89][5260/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 1.7729 (1.5878) Prec@1 51.875 (57.088) Prec@5 80.625 (85.277) Epoch: [89][5270/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.6546 (1.5879) Prec@1 52.500 (57.085) Prec@5 84.375 (85.274) Epoch: [89][5280/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.3876 (1.5879) Prec@1 63.125 (57.085) Prec@5 88.750 (85.273) Epoch: [89][5290/11272] Time 0.743 (0.790) Data 0.001 (0.002) Loss 1.4004 (1.5879) Prec@1 60.000 (57.086) Prec@5 90.000 (85.275) Epoch: [89][5300/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.7797 (1.5880) Prec@1 50.000 (57.081) Prec@5 83.750 (85.273) Epoch: [89][5310/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.6979 (1.5880) Prec@1 53.125 (57.079) Prec@5 86.250 (85.272) Epoch: [89][5320/11272] Time 0.735 (0.790) Data 0.002 (0.002) Loss 1.5385 (1.5880) Prec@1 53.750 (57.076) Prec@5 87.500 (85.274) Epoch: [89][5330/11272] Time 0.732 (0.790) Data 0.002 (0.002) Loss 1.7046 (1.5881) Prec@1 50.625 (57.073) Prec@5 83.125 (85.273) Epoch: [89][5340/11272] Time 0.911 (0.790) Data 0.001 (0.002) Loss 1.3730 (1.5880) Prec@1 58.125 (57.071) Prec@5 90.625 (85.274) Epoch: [89][5350/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.3243 (1.5880) Prec@1 65.000 (57.074) Prec@5 88.750 (85.274) Epoch: [89][5360/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.8363 (1.5880) Prec@1 56.875 (57.073) Prec@5 80.000 (85.270) Epoch: [89][5370/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.6143 (1.5880) Prec@1 53.125 (57.073) Prec@5 86.875 (85.270) Epoch: [89][5380/11272] Time 0.940 (0.790) Data 0.001 (0.002) Loss 1.5806 (1.5879) Prec@1 55.625 (57.074) Prec@5 88.750 (85.271) Epoch: [89][5390/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.4995 (1.5878) Prec@1 60.000 (57.078) Prec@5 85.625 (85.275) Epoch: [89][5400/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.5694 (1.5878) Prec@1 55.000 (57.075) Prec@5 84.375 (85.273) Epoch: [89][5410/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.5049 (1.5877) Prec@1 58.750 (57.076) Prec@5 88.750 (85.275) Epoch: [89][5420/11272] Time 0.860 (0.790) Data 0.002 (0.002) Loss 1.6184 (1.5878) Prec@1 58.125 (57.076) Prec@5 83.125 (85.273) Epoch: [89][5430/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.5497 (1.5879) Prec@1 53.750 (57.075) Prec@5 86.875 (85.271) Epoch: [89][5440/11272] Time 0.724 (0.790) Data 0.002 (0.002) Loss 1.4639 (1.5880) Prec@1 61.875 (57.075) Prec@5 85.000 (85.269) Epoch: [89][5450/11272] Time 0.850 (0.790) Data 0.002 (0.002) Loss 1.5242 (1.5881) Prec@1 62.500 (57.073) Prec@5 85.625 (85.267) Epoch: [89][5460/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.5919 (1.5880) Prec@1 56.875 (57.076) Prec@5 86.875 (85.266) Epoch: [89][5470/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.5307 (1.5880) Prec@1 58.750 (57.077) Prec@5 85.000 (85.266) Epoch: [89][5480/11272] Time 0.911 (0.790) Data 0.001 (0.002) Loss 1.5625 (1.5880) Prec@1 56.875 (57.074) Prec@5 85.625 (85.267) Epoch: [89][5490/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.5310 (1.5880) Prec@1 53.125 (57.076) Prec@5 85.000 (85.267) Epoch: [89][5500/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 1.9964 (1.5881) Prec@1 43.125 (57.073) Prec@5 77.500 (85.264) Epoch: [89][5510/11272] Time 0.750 (0.790) Data 0.001 (0.002) Loss 1.7358 (1.5883) Prec@1 54.375 (57.070) Prec@5 82.500 (85.260) Epoch: [89][5520/11272] Time 0.893 (0.790) Data 0.001 (0.002) Loss 1.5943 (1.5884) Prec@1 55.625 (57.067) Prec@5 87.500 (85.259) Epoch: [89][5530/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.6028 (1.5885) Prec@1 56.875 (57.066) Prec@5 85.625 (85.257) Epoch: [89][5540/11272] Time 0.737 (0.790) Data 0.001 (0.002) Loss 1.6103 (1.5884) Prec@1 52.500 (57.064) Prec@5 91.875 (85.260) Epoch: [89][5550/11272] Time 0.732 (0.790) Data 0.002 (0.002) Loss 1.5427 (1.5885) Prec@1 57.500 (57.064) Prec@5 86.250 (85.259) Epoch: [89][5560/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.5597 (1.5885) Prec@1 57.500 (57.066) Prec@5 86.875 (85.257) Epoch: [89][5570/11272] Time 0.860 (0.790) Data 0.001 (0.002) Loss 1.5931 (1.5884) Prec@1 56.875 (57.065) Prec@5 86.250 (85.258) Epoch: [89][5580/11272] Time 0.715 (0.790) Data 0.002 (0.002) Loss 1.7924 (1.5884) Prec@1 52.500 (57.067) Prec@5 82.500 (85.261) Epoch: [89][5590/11272] Time 0.758 (0.790) Data 0.002 (0.002) Loss 1.5859 (1.5883) Prec@1 56.875 (57.070) Prec@5 85.625 (85.260) Epoch: [89][5600/11272] Time 0.812 (0.790) Data 0.001 (0.002) Loss 1.7540 (1.5883) Prec@1 51.250 (57.070) Prec@5 83.750 (85.262) Epoch: [89][5610/11272] Time 0.725 (0.790) Data 0.003 (0.002) Loss 1.6380 (1.5883) Prec@1 59.375 (57.072) Prec@5 85.000 (85.263) Epoch: [89][5620/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.4445 (1.5883) Prec@1 61.250 (57.073) Prec@5 86.875 (85.263) Epoch: [89][5630/11272] Time 0.870 (0.790) Data 0.001 (0.002) Loss 1.6369 (1.5882) Prec@1 55.000 (57.076) Prec@5 83.125 (85.265) Epoch: [89][5640/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.5635 (1.5882) Prec@1 57.500 (57.077) Prec@5 86.875 (85.266) Epoch: [89][5650/11272] Time 0.702 (0.790) Data 0.001 (0.002) Loss 1.7038 (1.5883) Prec@1 56.875 (57.075) Prec@5 82.500 (85.263) Epoch: [89][5660/11272] Time 0.747 (0.790) Data 0.002 (0.002) Loss 1.6765 (1.5884) Prec@1 56.250 (57.071) Prec@5 80.000 (85.262) Epoch: [89][5670/11272] Time 0.905 (0.790) Data 0.002 (0.002) Loss 1.6067 (1.5885) Prec@1 58.125 (57.068) Prec@5 85.000 (85.260) Epoch: [89][5680/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.9544 (1.5887) Prec@1 47.500 (57.065) Prec@5 78.750 (85.256) Epoch: [89][5690/11272] Time 0.759 (0.790) Data 0.001 (0.002) Loss 1.5409 (1.5886) Prec@1 54.375 (57.064) Prec@5 90.000 (85.258) Epoch: [89][5700/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.4527 (1.5885) Prec@1 57.500 (57.067) Prec@5 88.750 (85.261) Epoch: [89][5710/11272] Time 0.848 (0.790) Data 0.001 (0.002) Loss 1.7679 (1.5886) Prec@1 53.125 (57.067) Prec@5 83.750 (85.261) Epoch: [89][5720/11272] Time 0.859 (0.790) Data 0.001 (0.002) Loss 1.4127 (1.5886) Prec@1 61.875 (57.064) Prec@5 87.500 (85.260) Epoch: [89][5730/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.6627 (1.5885) Prec@1 56.250 (57.066) Prec@5 80.000 (85.260) Epoch: [89][5740/11272] Time 0.834 (0.790) Data 0.002 (0.002) Loss 1.5654 (1.5887) Prec@1 55.625 (57.064) Prec@5 84.375 (85.259) Epoch: [89][5750/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.6310 (1.5887) Prec@1 50.000 (57.061) Prec@5 88.750 (85.260) Epoch: [89][5760/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.5291 (1.5887) Prec@1 60.625 (57.061) Prec@5 83.125 (85.259) Epoch: [89][5770/11272] Time 0.776 (0.790) Data 0.002 (0.002) Loss 1.3979 (1.5888) Prec@1 58.750 (57.057) Prec@5 90.625 (85.258) Epoch: [89][5780/11272] Time 0.865 (0.790) Data 0.002 (0.002) Loss 1.6857 (1.5888) Prec@1 52.500 (57.058) Prec@5 84.375 (85.256) Epoch: [89][5790/11272] Time 0.813 (0.790) Data 0.001 (0.002) Loss 1.3027 (1.5887) Prec@1 65.625 (57.060) Prec@5 90.000 (85.257) Epoch: [89][5800/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.6025 (1.5888) Prec@1 55.000 (57.059) Prec@5 86.250 (85.254) Epoch: [89][5810/11272] Time 0.743 (0.790) Data 0.001 (0.002) Loss 1.9791 (1.5889) Prec@1 52.500 (57.059) Prec@5 78.750 (85.252) Epoch: [89][5820/11272] Time 0.890 (0.790) Data 0.001 (0.002) Loss 1.5708 (1.5889) Prec@1 56.250 (57.058) Prec@5 82.500 (85.251) Epoch: [89][5830/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.4695 (1.5890) Prec@1 56.875 (57.059) Prec@5 89.375 (85.249) Epoch: [89][5840/11272] Time 0.766 (0.790) Data 0.002 (0.002) Loss 1.5434 (1.5890) Prec@1 63.125 (57.059) Prec@5 84.375 (85.249) Epoch: [89][5850/11272] Time 0.763 (0.790) Data 0.002 (0.002) Loss 1.6213 (1.5890) Prec@1 56.875 (57.060) Prec@5 83.125 (85.248) Epoch: [89][5860/11272] Time 0.850 (0.790) Data 0.002 (0.002) Loss 1.6777 (1.5890) Prec@1 48.125 (57.060) Prec@5 85.000 (85.250) Epoch: [89][5870/11272] Time 0.721 (0.790) Data 0.003 (0.002) Loss 1.6163 (1.5893) Prec@1 55.625 (57.054) Prec@5 83.750 (85.246) Epoch: [89][5880/11272] Time 0.759 (0.790) Data 0.002 (0.002) Loss 1.7882 (1.5893) Prec@1 54.375 (57.053) Prec@5 79.375 (85.246) Epoch: [89][5890/11272] Time 0.826 (0.790) Data 0.001 (0.002) Loss 1.6924 (1.5894) Prec@1 54.375 (57.052) Prec@5 86.250 (85.246) Epoch: [89][5900/11272] Time 0.814 (0.790) Data 0.002 (0.002) Loss 1.5347 (1.5894) Prec@1 59.375 (57.053) Prec@5 83.750 (85.245) Epoch: [89][5910/11272] Time 0.743 (0.790) Data 0.002 (0.002) Loss 1.7570 (1.5894) Prec@1 55.000 (57.052) Prec@5 82.500 (85.245) Epoch: [89][5920/11272] Time 0.720 (0.790) Data 0.002 (0.002) Loss 1.4077 (1.5894) Prec@1 61.875 (57.053) Prec@5 88.125 (85.245) Epoch: [89][5930/11272] Time 0.867 (0.790) Data 0.002 (0.002) Loss 1.5795 (1.5895) Prec@1 55.625 (57.053) Prec@5 87.500 (85.244) Epoch: [89][5940/11272] Time 0.822 (0.790) Data 0.004 (0.002) Loss 1.4793 (1.5896) Prec@1 59.375 (57.050) Prec@5 88.750 (85.244) Epoch: [89][5950/11272] Time 0.746 (0.790) Data 0.002 (0.002) Loss 1.3712 (1.5896) Prec@1 58.125 (57.045) Prec@5 89.375 (85.244) Epoch: [89][5960/11272] Time 0.720 (0.790) Data 0.002 (0.002) Loss 1.5549 (1.5897) Prec@1 55.625 (57.043) Prec@5 85.625 (85.244) Epoch: [89][5970/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 1.5862 (1.5896) Prec@1 59.375 (57.048) Prec@5 86.875 (85.245) Epoch: [89][5980/11272] Time 0.852 (0.790) Data 0.002 (0.002) Loss 1.7529 (1.5896) Prec@1 53.125 (57.045) Prec@5 81.875 (85.244) Epoch: [89][5990/11272] Time 0.724 (0.790) Data 0.003 (0.002) Loss 1.5561 (1.5895) Prec@1 54.375 (57.047) Prec@5 86.875 (85.245) Epoch: [89][6000/11272] Time 0.882 (0.790) Data 0.002 (0.002) Loss 1.5486 (1.5896) Prec@1 53.750 (57.045) Prec@5 85.625 (85.245) Epoch: [89][6010/11272] Time 0.869 (0.790) Data 0.001 (0.002) Loss 1.5060 (1.5897) Prec@1 55.000 (57.042) Prec@5 86.875 (85.245) Epoch: [89][6020/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.4777 (1.5897) Prec@1 58.750 (57.040) Prec@5 85.000 (85.243) Epoch: [89][6030/11272] Time 0.738 (0.790) Data 0.002 (0.002) Loss 1.5894 (1.5897) Prec@1 57.500 (57.041) Prec@5 85.625 (85.242) Epoch: [89][6040/11272] Time 0.871 (0.790) Data 0.002 (0.002) Loss 1.7333 (1.5897) Prec@1 54.375 (57.040) Prec@5 83.125 (85.242) Epoch: [89][6050/11272] Time 0.860 (0.790) Data 0.002 (0.002) Loss 1.6616 (1.5897) Prec@1 56.250 (57.039) Prec@5 85.000 (85.244) Epoch: [89][6060/11272] Time 0.722 (0.790) Data 0.002 (0.002) Loss 1.6982 (1.5898) Prec@1 56.875 (57.041) Prec@5 83.125 (85.242) Epoch: [89][6070/11272] Time 0.721 (0.790) Data 0.002 (0.002) Loss 1.6607 (1.5898) Prec@1 59.375 (57.041) Prec@5 83.750 (85.242) Epoch: [89][6080/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.5772 (1.5899) Prec@1 57.500 (57.037) Prec@5 85.000 (85.239) Epoch: [89][6090/11272] Time 0.900 (0.790) Data 0.002 (0.002) Loss 1.5617 (1.5900) Prec@1 54.375 (57.034) Prec@5 86.250 (85.237) Epoch: [89][6100/11272] Time 0.740 (0.790) Data 0.001 (0.002) Loss 1.5254 (1.5900) Prec@1 58.750 (57.035) Prec@5 86.250 (85.237) Epoch: [89][6110/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.4900 (1.5900) Prec@1 58.125 (57.036) Prec@5 87.500 (85.238) Epoch: [89][6120/11272] Time 0.872 (0.790) Data 0.002 (0.002) Loss 1.6533 (1.5900) Prec@1 55.625 (57.038) Prec@5 82.500 (85.238) Epoch: [89][6130/11272] Time 0.789 (0.790) Data 0.001 (0.002) Loss 1.4496 (1.5901) Prec@1 61.250 (57.037) Prec@5 90.625 (85.237) Epoch: [89][6140/11272] Time 0.697 (0.790) Data 0.002 (0.002) Loss 1.7349 (1.5900) Prec@1 58.750 (57.039) Prec@5 83.125 (85.237) Epoch: [89][6150/11272] Time 0.885 (0.790) Data 0.001 (0.002) Loss 1.7129 (1.5901) Prec@1 53.750 (57.037) Prec@5 85.000 (85.236) Epoch: [89][6160/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.5527 (1.5901) Prec@1 51.875 (57.037) Prec@5 86.250 (85.237) Epoch: [89][6170/11272] Time 0.750 (0.790) Data 0.001 (0.002) Loss 1.6509 (1.5902) Prec@1 57.500 (57.034) Prec@5 80.625 (85.234) Epoch: [89][6180/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.3064 (1.5902) Prec@1 63.750 (57.034) Prec@5 92.500 (85.233) Epoch: [89][6190/11272] Time 0.892 (0.790) Data 0.001 (0.002) Loss 1.4321 (1.5902) Prec@1 60.000 (57.034) Prec@5 90.625 (85.232) Epoch: [89][6200/11272] Time 0.846 (0.790) Data 0.002 (0.002) Loss 1.3822 (1.5902) Prec@1 63.750 (57.034) Prec@5 86.250 (85.230) Epoch: [89][6210/11272] Time 0.756 (0.790) Data 0.001 (0.002) Loss 1.5656 (1.5903) Prec@1 55.000 (57.030) Prec@5 86.250 (85.228) Epoch: [89][6220/11272] Time 0.762 (0.790) Data 0.001 (0.002) Loss 1.6485 (1.5903) Prec@1 50.625 (57.029) Prec@5 85.000 (85.231) Epoch: [89][6230/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.5489 (1.5902) Prec@1 55.000 (57.032) Prec@5 86.250 (85.233) Epoch: [89][6240/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.5202 (1.5903) Prec@1 55.625 (57.029) Prec@5 87.500 (85.232) Epoch: [89][6250/11272] Time 0.747 (0.790) Data 0.001 (0.002) Loss 1.7741 (1.5902) Prec@1 52.500 (57.030) Prec@5 80.000 (85.231) Epoch: [89][6260/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 1.5234 (1.5901) Prec@1 58.750 (57.031) Prec@5 83.125 (85.231) Epoch: [89][6270/11272] Time 0.826 (0.790) Data 0.002 (0.002) Loss 1.5026 (1.5901) Prec@1 58.125 (57.035) Prec@5 83.125 (85.231) Epoch: [89][6280/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.8699 (1.5902) Prec@1 51.875 (57.030) Prec@5 77.500 (85.228) Epoch: [89][6290/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.5301 (1.5902) Prec@1 60.000 (57.030) Prec@5 87.500 (85.228) Epoch: [89][6300/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.7638 (1.5902) Prec@1 56.250 (57.029) Prec@5 81.875 (85.227) Epoch: [89][6310/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 1.4627 (1.5902) Prec@1 56.250 (57.028) Prec@5 87.500 (85.228) Epoch: [89][6320/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.7641 (1.5903) Prec@1 54.375 (57.025) Prec@5 83.125 (85.225) Epoch: [89][6330/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.7594 (1.5904) Prec@1 51.250 (57.026) Prec@5 80.625 (85.223) Epoch: [89][6340/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.6859 (1.5905) Prec@1 57.500 (57.024) Prec@5 80.000 (85.220) Epoch: [89][6350/11272] Time 0.831 (0.790) Data 0.002 (0.002) Loss 1.6207 (1.5906) Prec@1 53.125 (57.019) Prec@5 85.000 (85.219) Epoch: [89][6360/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.4061 (1.5906) Prec@1 61.250 (57.021) Prec@5 89.375 (85.217) Epoch: [89][6370/11272] Time 0.690 (0.790) Data 0.002 (0.002) Loss 1.6401 (1.5907) Prec@1 58.125 (57.019) Prec@5 85.625 (85.216) Epoch: [89][6380/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.6099 (1.5906) Prec@1 61.250 (57.019) Prec@5 83.125 (85.217) Epoch: [89][6390/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.8282 (1.5907) Prec@1 50.000 (57.017) Prec@5 76.250 (85.216) Epoch: [89][6400/11272] Time 0.724 (0.790) Data 0.002 (0.002) Loss 1.5374 (1.5907) Prec@1 56.250 (57.015) Prec@5 86.875 (85.216) Epoch: [89][6410/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 1.7523 (1.5908) Prec@1 56.875 (57.016) Prec@5 78.750 (85.212) Epoch: [89][6420/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.5780 (1.5909) Prec@1 52.500 (57.012) Prec@5 86.875 (85.211) Epoch: [89][6430/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.4939 (1.5909) Prec@1 58.125 (57.012) Prec@5 86.250 (85.209) Epoch: [89][6440/11272] Time 0.751 (0.790) Data 0.001 (0.002) Loss 1.3827 (1.5908) Prec@1 57.500 (57.013) Prec@5 88.125 (85.211) Epoch: [89][6450/11272] Time 0.845 (0.790) Data 0.001 (0.002) Loss 1.5633 (1.5908) Prec@1 56.875 (57.013) Prec@5 82.500 (85.210) Epoch: [89][6460/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.4952 (1.5907) Prec@1 56.875 (57.012) Prec@5 87.500 (85.213) Epoch: [89][6470/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 1.7524 (1.5907) Prec@1 54.375 (57.014) Prec@5 80.000 (85.213) Epoch: [89][6480/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 1.8768 (1.5908) Prec@1 57.500 (57.010) Prec@5 77.500 (85.211) Epoch: [89][6490/11272] Time 0.838 (0.790) Data 0.002 (0.002) Loss 1.5714 (1.5908) Prec@1 58.125 (57.010) Prec@5 85.000 (85.212) Epoch: [89][6500/11272] Time 0.978 (0.790) Data 0.002 (0.002) Loss 1.4710 (1.5908) Prec@1 58.125 (57.009) Prec@5 89.375 (85.213) Epoch: [89][6510/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.8330 (1.5908) Prec@1 41.875 (57.009) Prec@5 82.500 (85.213) Epoch: [89][6520/11272] Time 0.761 (0.790) Data 0.001 (0.002) Loss 1.8064 (1.5908) Prec@1 56.250 (57.011) Prec@5 83.750 (85.212) Epoch: [89][6530/11272] Time 0.873 (0.790) Data 0.001 (0.002) Loss 1.8024 (1.5909) Prec@1 50.000 (57.010) Prec@5 85.000 (85.210) Epoch: [89][6540/11272] Time 0.732 (0.790) Data 0.004 (0.002) Loss 1.6798 (1.5909) Prec@1 58.125 (57.010) Prec@5 83.125 (85.210) Epoch: [89][6550/11272] Time 0.774 (0.790) Data 0.001 (0.002) Loss 1.7996 (1.5910) Prec@1 53.125 (57.008) Prec@5 83.750 (85.209) Epoch: [89][6560/11272] Time 0.903 (0.790) Data 0.001 (0.002) Loss 1.7218 (1.5910) Prec@1 52.500 (57.007) Prec@5 84.375 (85.210) Epoch: [89][6570/11272] Time 0.818 (0.790) Data 0.002 (0.002) Loss 1.4982 (1.5910) Prec@1 60.000 (57.008) Prec@5 85.625 (85.210) Epoch: [89][6580/11272] Time 0.721 (0.790) Data 0.002 (0.002) Loss 1.5388 (1.5910) Prec@1 60.625 (57.007) Prec@5 87.500 (85.210) Epoch: [89][6590/11272] Time 0.784 (0.790) Data 0.002 (0.002) Loss 1.5566 (1.5909) Prec@1 60.625 (57.010) Prec@5 81.250 (85.209) Epoch: [89][6600/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.7154 (1.5909) Prec@1 52.500 (57.010) Prec@5 86.250 (85.211) Epoch: [89][6610/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.8987 (1.5909) Prec@1 48.125 (57.008) Prec@5 80.000 (85.209) Epoch: [89][6620/11272] Time 0.747 (0.790) Data 0.001 (0.002) Loss 1.6326 (1.5909) Prec@1 57.500 (57.008) Prec@5 83.750 (85.210) Epoch: [89][6630/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.7019 (1.5909) Prec@1 49.375 (57.008) Prec@5 82.500 (85.211) Epoch: [89][6640/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.3321 (1.5908) Prec@1 63.750 (57.010) Prec@5 92.500 (85.214) Epoch: [89][6650/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.7345 (1.5910) Prec@1 55.625 (57.007) Prec@5 81.250 (85.211) Epoch: [89][6660/11272] Time 0.760 (0.790) Data 0.001 (0.002) Loss 1.8620 (1.5912) Prec@1 49.375 (57.001) Prec@5 80.000 (85.208) Epoch: [89][6670/11272] Time 0.824 (0.790) Data 0.002 (0.002) Loss 1.6001 (1.5912) Prec@1 51.250 (56.999) Prec@5 85.000 (85.209) Epoch: [89][6680/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 1.6349 (1.5912) Prec@1 56.250 (56.997) Prec@5 83.750 (85.208) Epoch: [89][6690/11272] Time 0.772 (0.790) Data 0.002 (0.002) Loss 1.6969 (1.5913) Prec@1 55.625 (56.994) Prec@5 81.875 (85.209) Epoch: [89][6700/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.7497 (1.5914) Prec@1 56.250 (56.992) Prec@5 85.000 (85.207) Epoch: [89][6710/11272] Time 0.823 (0.790) Data 0.002 (0.002) Loss 1.4254 (1.5914) Prec@1 64.375 (56.994) Prec@5 86.875 (85.206) Epoch: [89][6720/11272] Time 0.805 (0.790) Data 0.002 (0.002) Loss 1.4748 (1.5914) Prec@1 59.375 (56.992) Prec@5 89.375 (85.206) Epoch: [89][6730/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.5298 (1.5912) Prec@1 56.250 (56.998) Prec@5 86.875 (85.208) Epoch: [89][6740/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.5808 (1.5912) Prec@1 60.000 (56.999) Prec@5 87.500 (85.207) Epoch: [89][6750/11272] Time 0.871 (0.790) Data 0.002 (0.002) Loss 1.4567 (1.5912) Prec@1 60.000 (57.001) Prec@5 87.500 (85.208) Epoch: [89][6760/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.6361 (1.5912) Prec@1 58.750 (57.000) Prec@5 85.000 (85.207) Epoch: [89][6770/11272] Time 0.704 (0.790) Data 0.001 (0.002) Loss 1.5186 (1.5912) Prec@1 60.000 (57.002) Prec@5 85.625 (85.207) Epoch: [89][6780/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.8004 (1.5912) Prec@1 50.625 (57.003) Prec@5 81.250 (85.206) Epoch: [89][6790/11272] Time 0.836 (0.790) Data 0.002 (0.002) Loss 1.6428 (1.5912) Prec@1 56.875 (57.004) Prec@5 85.625 (85.205) Epoch: [89][6800/11272] Time 0.727 (0.790) Data 0.004 (0.002) Loss 1.6263 (1.5914) Prec@1 56.875 (57.001) Prec@5 84.375 (85.202) Epoch: [89][6810/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.5421 (1.5913) Prec@1 59.375 (57.002) Prec@5 85.625 (85.203) Epoch: [89][6820/11272] Time 0.899 (0.790) Data 0.002 (0.002) Loss 1.6538 (1.5913) Prec@1 56.875 (57.002) Prec@5 85.625 (85.204) Epoch: [89][6830/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.5866 (1.5913) Prec@1 61.875 (57.004) Prec@5 85.000 (85.204) Epoch: [89][6840/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 1.5820 (1.5913) Prec@1 60.000 (57.004) Prec@5 85.000 (85.206) Epoch: [89][6850/11272] Time 0.732 (0.790) Data 0.002 (0.002) Loss 1.5654 (1.5913) Prec@1 55.625 (57.003) Prec@5 89.375 (85.206) Epoch: [89][6860/11272] Time 0.897 (0.790) Data 0.001 (0.002) Loss 1.4812 (1.5913) Prec@1 63.125 (57.004) Prec@5 85.625 (85.206) Epoch: [89][6870/11272] Time 0.829 (0.790) Data 0.002 (0.002) Loss 1.8655 (1.5912) Prec@1 53.125 (57.005) Prec@5 81.875 (85.207) Epoch: [89][6880/11272] Time 0.755 (0.790) Data 0.002 (0.002) Loss 1.6364 (1.5913) Prec@1 56.250 (57.005) Prec@5 86.250 (85.206) Epoch: [89][6890/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.4858 (1.5914) Prec@1 55.000 (57.002) Prec@5 87.500 (85.204) Epoch: [89][6900/11272] Time 0.927 (0.790) Data 0.001 (0.002) Loss 1.6005 (1.5913) Prec@1 61.875 (57.005) Prec@5 83.125 (85.205) Epoch: [89][6910/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.6552 (1.5914) Prec@1 58.125 (57.004) Prec@5 84.375 (85.203) Epoch: [89][6920/11272] Time 0.754 (0.790) Data 0.002 (0.002) Loss 1.4983 (1.5914) Prec@1 61.250 (57.005) Prec@5 86.875 (85.204) Epoch: [89][6930/11272] Time 0.888 (0.790) Data 0.001 (0.002) Loss 1.5838 (1.5914) Prec@1 57.500 (57.005) Prec@5 86.875 (85.205) Epoch: [89][6940/11272] Time 0.854 (0.790) Data 0.002 (0.002) Loss 1.8211 (1.5915) Prec@1 51.875 (57.002) Prec@5 81.250 (85.203) Epoch: [89][6950/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.7258 (1.5915) Prec@1 56.875 (57.002) Prec@5 84.375 (85.203) Epoch: [89][6960/11272] Time 0.771 (0.790) Data 0.001 (0.002) Loss 1.6757 (1.5915) Prec@1 57.500 (57.004) Prec@5 84.375 (85.205) Epoch: [89][6970/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.8300 (1.5915) Prec@1 51.250 (57.003) Prec@5 81.875 (85.205) Epoch: [89][6980/11272] Time 0.826 (0.790) Data 0.001 (0.002) Loss 1.5730 (1.5914) Prec@1 58.125 (57.006) Prec@5 85.625 (85.205) Epoch: [89][6990/11272] Time 0.743 (0.790) Data 0.001 (0.002) Loss 1.5120 (1.5914) Prec@1 57.500 (57.006) Prec@5 89.375 (85.206) Epoch: [89][7000/11272] Time 0.767 (0.790) Data 0.001 (0.002) Loss 1.5927 (1.5914) Prec@1 54.375 (57.005) Prec@5 86.250 (85.207) Epoch: [89][7010/11272] Time 0.839 (0.790) Data 0.002 (0.002) Loss 1.7157 (1.5914) Prec@1 58.750 (57.005) Prec@5 85.625 (85.206) Epoch: [89][7020/11272] Time 0.852 (0.790) Data 0.002 (0.002) Loss 1.5289 (1.5915) Prec@1 62.500 (57.005) Prec@5 86.250 (85.204) Epoch: [89][7030/11272] Time 0.720 (0.790) Data 0.002 (0.002) Loss 1.5180 (1.5915) Prec@1 58.125 (57.006) Prec@5 87.500 (85.205) Epoch: [89][7040/11272] Time 0.773 (0.790) Data 0.002 (0.002) Loss 1.8421 (1.5915) Prec@1 51.250 (57.006) Prec@5 80.625 (85.204) Epoch: [89][7050/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.7668 (1.5914) Prec@1 55.000 (57.008) Prec@5 80.000 (85.204) Epoch: [89][7060/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 1.6202 (1.5915) Prec@1 58.125 (57.008) Prec@5 83.750 (85.203) Epoch: [89][7070/11272] Time 0.752 (0.790) Data 0.002 (0.002) Loss 1.6634 (1.5916) Prec@1 50.625 (57.006) Prec@5 83.750 (85.201) Epoch: [89][7080/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.4697 (1.5915) Prec@1 60.000 (57.007) Prec@5 87.500 (85.203) Epoch: [89][7090/11272] Time 0.788 (0.790) Data 0.001 (0.002) Loss 1.4242 (1.5915) Prec@1 59.375 (57.006) Prec@5 88.750 (85.203) Epoch: [89][7100/11272] Time 0.688 (0.790) Data 0.001 (0.002) Loss 1.6557 (1.5916) Prec@1 56.250 (57.005) Prec@5 83.750 (85.202) Epoch: [89][7110/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.8270 (1.5917) Prec@1 55.000 (57.001) Prec@5 82.500 (85.199) Epoch: [89][7120/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.8108 (1.5918) Prec@1 53.125 (57.000) Prec@5 77.500 (85.196) Epoch: [89][7130/11272] Time 0.856 (0.790) Data 0.002 (0.002) Loss 1.6518 (1.5918) Prec@1 61.250 (57.000) Prec@5 79.375 (85.195) Epoch: [89][7140/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 1.6148 (1.5919) Prec@1 58.750 (56.998) Prec@5 84.375 (85.193) Epoch: [89][7150/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.4131 (1.5918) Prec@1 60.000 (57.002) Prec@5 90.625 (85.195) Epoch: [89][7160/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.8233 (1.5919) Prec@1 53.125 (57.000) Prec@5 78.750 (85.192) Epoch: [89][7170/11272] Time 0.799 (0.790) Data 0.002 (0.002) Loss 1.6057 (1.5919) Prec@1 58.125 (57.000) Prec@5 86.250 (85.191) Epoch: [89][7180/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.7654 (1.5919) Prec@1 51.875 (56.999) Prec@5 81.250 (85.190) Epoch: [89][7190/11272] Time 0.726 (0.790) Data 0.001 (0.002) Loss 1.6218 (1.5920) Prec@1 59.375 (56.996) Prec@5 84.375 (85.189) Epoch: [89][7200/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.8350 (1.5920) Prec@1 48.125 (56.994) Prec@5 80.000 (85.189) Epoch: [89][7210/11272] Time 0.732 (0.790) Data 0.001 (0.002) Loss 1.5289 (1.5920) Prec@1 57.500 (56.995) Prec@5 85.625 (85.188) Epoch: [89][7220/11272] Time 0.751 (0.790) Data 0.003 (0.002) Loss 1.5451 (1.5920) Prec@1 56.875 (56.994) Prec@5 83.750 (85.189) Epoch: [89][7230/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 1.6452 (1.5921) Prec@1 58.750 (56.994) Prec@5 83.750 (85.186) Epoch: [89][7240/11272] Time 0.880 (0.790) Data 0.002 (0.002) Loss 1.6371 (1.5922) Prec@1 56.875 (56.993) Prec@5 86.250 (85.186) Epoch: [89][7250/11272] Time 0.766 (0.790) Data 0.001 (0.002) Loss 1.9080 (1.5923) Prec@1 51.875 (56.990) Prec@5 78.750 (85.184) Epoch: [89][7260/11272] Time 0.733 (0.790) Data 0.002 (0.002) Loss 1.7196 (1.5923) Prec@1 57.500 (56.990) Prec@5 85.000 (85.182) Epoch: [89][7270/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.7070 (1.5924) Prec@1 53.750 (56.986) Prec@5 87.500 (85.182) Epoch: [89][7280/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.8061 (1.5924) Prec@1 56.250 (56.987) Prec@5 80.625 (85.183) Epoch: [89][7290/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.6682 (1.5924) Prec@1 51.250 (56.987) Prec@5 85.625 (85.184) Epoch: [89][7300/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 2.0213 (1.5925) Prec@1 48.750 (56.985) Prec@5 80.000 (85.183) Epoch: [89][7310/11272] Time 0.904 (0.790) Data 0.001 (0.002) Loss 1.5685 (1.5925) Prec@1 55.625 (56.983) Prec@5 83.750 (85.183) Epoch: [89][7320/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 1.4889 (1.5926) Prec@1 59.375 (56.983) Prec@5 86.875 (85.183) Epoch: [89][7330/11272] Time 0.746 (0.790) Data 0.002 (0.002) Loss 1.5966 (1.5926) Prec@1 55.000 (56.984) Prec@5 83.750 (85.182) Epoch: [89][7340/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 1.4659 (1.5925) Prec@1 54.375 (56.984) Prec@5 87.500 (85.184) Epoch: [89][7350/11272] Time 0.864 (0.790) Data 0.002 (0.002) Loss 1.7244 (1.5925) Prec@1 53.125 (56.983) Prec@5 82.500 (85.184) Epoch: [89][7360/11272] Time 0.725 (0.790) Data 0.002 (0.002) Loss 1.6638 (1.5925) Prec@1 57.500 (56.984) Prec@5 81.250 (85.183) Epoch: [89][7370/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.8388 (1.5926) Prec@1 52.500 (56.985) Prec@5 80.625 (85.183) Epoch: [89][7380/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.4229 (1.5926) Prec@1 60.000 (56.986) Prec@5 88.125 (85.182) Epoch: [89][7390/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.4168 (1.5925) Prec@1 60.625 (56.988) Prec@5 91.250 (85.183) Epoch: [89][7400/11272] Time 0.742 (0.790) Data 0.002 (0.002) Loss 1.3735 (1.5925) Prec@1 59.375 (56.988) Prec@5 88.750 (85.184) Epoch: [89][7410/11272] Time 0.755 (0.790) Data 0.002 (0.002) Loss 1.6466 (1.5926) Prec@1 56.250 (56.987) Prec@5 86.250 (85.184) Epoch: [89][7420/11272] Time 0.849 (0.790) Data 0.002 (0.002) Loss 1.5097 (1.5926) Prec@1 55.000 (56.985) Prec@5 88.125 (85.184) Epoch: [89][7430/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.6778 (1.5926) Prec@1 53.125 (56.982) Prec@5 85.000 (85.185) Epoch: [89][7440/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 1.7989 (1.5926) Prec@1 50.625 (56.984) Prec@5 81.875 (85.185) Epoch: [89][7450/11272] Time 0.730 (0.790) Data 0.002 (0.002) Loss 1.5969 (1.5926) Prec@1 57.500 (56.982) Prec@5 87.500 (85.185) Epoch: [89][7460/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.3063 (1.5927) Prec@1 63.750 (56.981) Prec@5 90.000 (85.184) Epoch: [89][7470/11272] Time 0.747 (0.790) Data 0.004 (0.002) Loss 1.4605 (1.5927) Prec@1 58.125 (56.980) Prec@5 89.375 (85.184) Epoch: [89][7480/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.6434 (1.5928) Prec@1 53.750 (56.977) Prec@5 84.375 (85.184) Epoch: [89][7490/11272] Time 0.876 (0.790) Data 0.002 (0.002) Loss 1.7987 (1.5928) Prec@1 53.125 (56.974) Prec@5 83.125 (85.183) Epoch: [89][7500/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.8569 (1.5929) Prec@1 51.875 (56.973) Prec@5 80.625 (85.182) Epoch: [89][7510/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.5975 (1.5930) Prec@1 60.000 (56.973) Prec@5 80.625 (85.181) Epoch: [89][7520/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.4647 (1.5931) Prec@1 61.250 (56.969) Prec@5 89.375 (85.180) Epoch: [89][7530/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.6397 (1.5931) Prec@1 58.750 (56.969) Prec@5 85.000 (85.180) Epoch: [89][7540/11272] Time 0.831 (0.790) Data 0.001 (0.002) Loss 1.6085 (1.5931) Prec@1 55.625 (56.969) Prec@5 86.250 (85.180) Epoch: [89][7550/11272] Time 0.772 (0.790) Data 0.002 (0.002) Loss 1.5785 (1.5931) Prec@1 60.000 (56.969) Prec@5 82.500 (85.181) Epoch: [89][7560/11272] Time 0.759 (0.790) Data 0.002 (0.002) Loss 1.6635 (1.5931) Prec@1 56.250 (56.968) Prec@5 83.750 (85.180) Epoch: [89][7570/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.4072 (1.5931) Prec@1 57.500 (56.969) Prec@5 90.000 (85.180) Epoch: [89][7580/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.5869 (1.5932) Prec@1 58.750 (56.966) Prec@5 85.625 (85.177) Epoch: [89][7590/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 1.6763 (1.5932) Prec@1 56.250 (56.968) Prec@5 82.500 (85.178) Epoch: [89][7600/11272] Time 0.884 (0.790) Data 0.001 (0.002) Loss 1.7429 (1.5933) Prec@1 56.250 (56.964) Prec@5 85.625 (85.176) Epoch: [89][7610/11272] Time 0.835 (0.790) Data 0.001 (0.002) Loss 1.5183 (1.5934) Prec@1 60.625 (56.964) Prec@5 88.125 (85.175) Epoch: [89][7620/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.6956 (1.5933) Prec@1 54.375 (56.963) Prec@5 83.125 (85.175) Epoch: [89][7630/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.7452 (1.5934) Prec@1 53.750 (56.963) Prec@5 82.500 (85.174) Epoch: [89][7640/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.5714 (1.5935) Prec@1 58.125 (56.962) Prec@5 83.125 (85.173) Epoch: [89][7650/11272] Time 0.866 (0.790) Data 0.001 (0.002) Loss 1.5086 (1.5933) Prec@1 59.375 (56.965) Prec@5 84.375 (85.174) Epoch: [89][7660/11272] Time 0.766 (0.790) Data 0.002 (0.002) Loss 1.8334 (1.5934) Prec@1 51.875 (56.963) Prec@5 80.000 (85.174) Epoch: [89][7670/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.7230 (1.5934) Prec@1 51.875 (56.962) Prec@5 84.375 (85.171) Epoch: [89][7680/11272] Time 0.895 (0.790) Data 0.001 (0.002) Loss 1.5943 (1.5934) Prec@1 57.500 (56.964) Prec@5 85.000 (85.171) Epoch: [89][7690/11272] Time 0.874 (0.790) Data 0.001 (0.002) Loss 1.4835 (1.5934) Prec@1 61.250 (56.962) Prec@5 86.250 (85.171) Epoch: [89][7700/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.5285 (1.5935) Prec@1 58.750 (56.961) Prec@5 83.750 (85.169) Epoch: [89][7710/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.7438 (1.5935) Prec@1 56.875 (56.962) Prec@5 78.750 (85.168) Epoch: [89][7720/11272] Time 0.854 (0.790) Data 0.001 (0.002) Loss 1.5704 (1.5935) Prec@1 58.125 (56.961) Prec@5 89.375 (85.168) Epoch: [89][7730/11272] Time 0.727 (0.790) Data 0.003 (0.002) Loss 1.6438 (1.5934) Prec@1 53.125 (56.964) Prec@5 85.000 (85.169) Epoch: [89][7740/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.7280 (1.5935) Prec@1 50.000 (56.963) Prec@5 79.375 (85.167) Epoch: [89][7750/11272] Time 0.809 (0.790) Data 0.001 (0.002) Loss 1.6629 (1.5935) Prec@1 55.625 (56.962) Prec@5 88.125 (85.166) Epoch: [89][7760/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.6695 (1.5935) Prec@1 53.750 (56.962) Prec@5 83.125 (85.166) Epoch: [89][7770/11272] Time 0.736 (0.790) Data 0.002 (0.002) Loss 1.8914 (1.5936) Prec@1 50.000 (56.959) Prec@5 79.375 (85.163) Epoch: [89][7780/11272] Time 0.730 (0.790) Data 0.002 (0.002) Loss 1.5616 (1.5937) Prec@1 56.250 (56.960) Prec@5 80.000 (85.163) Epoch: [89][7790/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.4932 (1.5937) Prec@1 63.750 (56.959) Prec@5 85.000 (85.162) Epoch: [89][7800/11272] Time 0.904 (0.790) Data 0.002 (0.002) Loss 1.6632 (1.5938) Prec@1 56.250 (56.957) Prec@5 83.750 (85.161) Epoch: [89][7810/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.6805 (1.5938) Prec@1 55.000 (56.957) Prec@5 83.125 (85.161) Epoch: [89][7820/11272] Time 0.758 (0.790) Data 0.001 (0.002) Loss 1.6528 (1.5938) Prec@1 58.125 (56.957) Prec@5 85.000 (85.160) Epoch: [89][7830/11272] Time 0.826 (0.790) Data 0.001 (0.002) Loss 1.6962 (1.5939) Prec@1 58.750 (56.954) Prec@5 85.000 (85.159) Epoch: [89][7840/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.5455 (1.5940) Prec@1 55.000 (56.951) Prec@5 87.500 (85.157) Epoch: [89][7850/11272] Time 0.711 (0.790) Data 0.001 (0.002) Loss 1.4575 (1.5940) Prec@1 60.625 (56.949) Prec@5 88.750 (85.158) Epoch: [89][7860/11272] Time 0.882 (0.790) Data 0.001 (0.002) Loss 1.6245 (1.5940) Prec@1 48.750 (56.950) Prec@5 88.125 (85.158) Epoch: [89][7870/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.6799 (1.5940) Prec@1 55.000 (56.948) Prec@5 83.125 (85.157) Epoch: [89][7880/11272] Time 0.737 (0.790) Data 0.001 (0.002) Loss 1.9514 (1.5941) Prec@1 50.000 (56.948) Prec@5 79.375 (85.157) Epoch: [89][7890/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.6749 (1.5941) Prec@1 59.375 (56.947) Prec@5 85.000 (85.158) Epoch: [89][7900/11272] Time 0.869 (0.790) Data 0.002 (0.002) Loss 1.3783 (1.5940) Prec@1 57.500 (56.948) Prec@5 89.375 (85.159) Epoch: [89][7910/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.8526 (1.5941) Prec@1 48.125 (56.947) Prec@5 81.875 (85.159) Epoch: [89][7920/11272] Time 0.777 (0.790) Data 0.002 (0.002) Loss 1.4560 (1.5941) Prec@1 60.625 (56.950) Prec@5 84.375 (85.158) Epoch: [89][7930/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 1.8167 (1.5940) Prec@1 53.750 (56.952) Prec@5 79.375 (85.158) Epoch: [89][7940/11272] Time 0.892 (0.790) Data 0.002 (0.002) Loss 1.7041 (1.5941) Prec@1 51.250 (56.950) Prec@5 85.000 (85.157) Epoch: [89][7950/11272] Time 0.855 (0.790) Data 0.002 (0.002) Loss 1.4854 (1.5940) Prec@1 59.375 (56.949) Prec@5 85.625 (85.158) Epoch: [89][7960/11272] Time 0.757 (0.790) Data 0.001 (0.002) Loss 1.7077 (1.5941) Prec@1 51.875 (56.948) Prec@5 83.750 (85.158) Epoch: [89][7970/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.4814 (1.5941) Prec@1 63.125 (56.949) Prec@5 87.500 (85.157) Epoch: [89][7980/11272] Time 0.911 (0.790) Data 0.002 (0.002) Loss 1.5751 (1.5940) Prec@1 53.125 (56.950) Prec@5 86.875 (85.157) Epoch: [89][7990/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 1.7032 (1.5941) Prec@1 57.500 (56.949) Prec@5 81.875 (85.156) Epoch: [89][8000/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 1.8233 (1.5940) Prec@1 53.750 (56.950) Prec@5 81.250 (85.157) Epoch: [89][8010/11272] Time 0.868 (0.790) Data 0.001 (0.002) Loss 1.6044 (1.5940) Prec@1 57.500 (56.951) Prec@5 85.625 (85.157) Epoch: [89][8020/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.6951 (1.5940) Prec@1 59.375 (56.951) Prec@5 83.125 (85.158) Epoch: [89][8030/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.3525 (1.5938) Prec@1 59.375 (56.954) Prec@5 90.000 (85.161) Epoch: [89][8040/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.5897 (1.5938) Prec@1 55.000 (56.953) Prec@5 86.875 (85.161) Epoch: [89][8050/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.4997 (1.5939) Prec@1 62.500 (56.954) Prec@5 85.000 (85.159) Epoch: [89][8060/11272] Time 0.875 (0.790) Data 0.002 (0.002) Loss 1.5077 (1.5939) Prec@1 55.000 (56.953) Prec@5 89.375 (85.157) Epoch: [89][8070/11272] Time 0.748 (0.790) Data 0.001 (0.002) Loss 1.5032 (1.5939) Prec@1 63.750 (56.955) Prec@5 85.625 (85.158) Epoch: [89][8080/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.4159 (1.5938) Prec@1 58.750 (56.957) Prec@5 88.125 (85.160) Epoch: [89][8090/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.6612 (1.5938) Prec@1 49.375 (56.959) Prec@5 85.625 (85.161) Epoch: [89][8100/11272] Time 0.862 (0.790) Data 0.001 (0.002) Loss 1.8827 (1.5938) Prec@1 48.750 (56.958) Prec@5 80.625 (85.161) Epoch: [89][8110/11272] Time 0.715 (0.790) Data 0.001 (0.002) Loss 1.5910 (1.5938) Prec@1 60.000 (56.957) Prec@5 83.125 (85.159) Epoch: [89][8120/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.5195 (1.5937) Prec@1 58.125 (56.958) Prec@5 88.750 (85.160) Epoch: [89][8130/11272] Time 0.875 (0.790) Data 0.001 (0.002) Loss 1.5276 (1.5937) Prec@1 59.375 (56.959) Prec@5 88.750 (85.160) Epoch: [89][8140/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.3911 (1.5937) Prec@1 64.375 (56.959) Prec@5 88.125 (85.159) Epoch: [89][8150/11272] Time 0.743 (0.790) Data 0.002 (0.002) Loss 1.4860 (1.5938) Prec@1 57.500 (56.958) Prec@5 86.250 (85.158) Epoch: [89][8160/11272] Time 0.876 (0.790) Data 0.002 (0.002) Loss 1.6588 (1.5938) Prec@1 56.250 (56.958) Prec@5 83.750 (85.158) Epoch: [89][8170/11272] Time 0.858 (0.790) Data 0.002 (0.002) Loss 1.5494 (1.5938) Prec@1 56.875 (56.955) Prec@5 87.500 (85.158) Epoch: [89][8180/11272] Time 0.715 (0.790) Data 0.002 (0.002) Loss 1.6365 (1.5939) Prec@1 57.500 (56.956) Prec@5 83.125 (85.157) Epoch: [89][8190/11272] Time 0.731 (0.790) Data 0.002 (0.002) Loss 1.7239 (1.5938) Prec@1 55.625 (56.957) Prec@5 81.875 (85.157) Epoch: [89][8200/11272] Time 0.855 (0.790) Data 0.001 (0.002) Loss 1.6435 (1.5937) Prec@1 57.500 (56.958) Prec@5 82.500 (85.158) Epoch: [89][8210/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.6157 (1.5937) Prec@1 54.375 (56.959) Prec@5 86.875 (85.158) Epoch: [89][8220/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.3152 (1.5937) Prec@1 68.750 (56.961) Prec@5 88.125 (85.158) Epoch: [89][8230/11272] Time 0.701 (0.790) Data 0.001 (0.002) Loss 1.7883 (1.5938) Prec@1 50.000 (56.959) Prec@5 84.375 (85.157) Epoch: [89][8240/11272] Time 0.888 (0.790) Data 0.002 (0.002) Loss 1.5737 (1.5937) Prec@1 57.500 (56.958) Prec@5 83.125 (85.158) Epoch: [89][8250/11272] Time 0.856 (0.790) Data 0.002 (0.002) Loss 1.5398 (1.5938) Prec@1 62.500 (56.958) Prec@5 83.750 (85.157) Epoch: [89][8260/11272] Time 0.715 (0.790) Data 0.002 (0.002) Loss 1.5608 (1.5938) Prec@1 55.625 (56.959) Prec@5 85.000 (85.156) Epoch: [89][8270/11272] Time 0.813 (0.790) Data 0.002 (0.002) Loss 1.6317 (1.5938) Prec@1 55.000 (56.958) Prec@5 86.875 (85.156) Epoch: [89][8280/11272] Time 0.791 (0.790) Data 0.001 (0.002) Loss 1.4172 (1.5938) Prec@1 61.250 (56.958) Prec@5 89.375 (85.155) Epoch: [89][8290/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.6604 (1.5938) Prec@1 55.625 (56.958) Prec@5 85.625 (85.156) Epoch: [89][8300/11272] Time 0.711 (0.790) Data 0.001 (0.002) Loss 1.4159 (1.5938) Prec@1 63.125 (56.961) Prec@5 88.750 (85.158) Epoch: [89][8310/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 1.3516 (1.5938) Prec@1 58.750 (56.960) Prec@5 88.750 (85.158) Epoch: [89][8320/11272] Time 0.842 (0.790) Data 0.002 (0.002) Loss 1.7622 (1.5938) Prec@1 57.500 (56.960) Prec@5 82.500 (85.158) Epoch: [89][8330/11272] Time 0.782 (0.790) Data 0.002 (0.002) Loss 1.5606 (1.5938) Prec@1 53.125 (56.959) Prec@5 84.375 (85.158) Epoch: [89][8340/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.5141 (1.5939) Prec@1 65.000 (56.959) Prec@5 83.750 (85.157) Epoch: [89][8350/11272] Time 0.873 (0.790) Data 0.002 (0.002) Loss 1.6203 (1.5939) Prec@1 56.250 (56.958) Prec@5 86.250 (85.156) Epoch: [89][8360/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.6031 (1.5940) Prec@1 53.750 (56.958) Prec@5 85.625 (85.155) Epoch: [89][8370/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.7470 (1.5940) Prec@1 56.875 (56.958) Prec@5 84.375 (85.155) Epoch: [89][8380/11272] Time 0.747 (0.790) Data 0.001 (0.002) Loss 1.4745 (1.5941) Prec@1 58.750 (56.959) Prec@5 85.625 (85.154) Epoch: [89][8390/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.4991 (1.5941) Prec@1 63.750 (56.959) Prec@5 83.750 (85.154) Epoch: [89][8400/11272] Time 0.685 (0.790) Data 0.003 (0.002) Loss 1.7045 (1.5941) Prec@1 53.750 (56.957) Prec@5 81.250 (85.152) Epoch: [89][8410/11272] Time 0.728 (0.790) Data 0.001 (0.002) Loss 1.6293 (1.5941) Prec@1 51.250 (56.956) Prec@5 85.000 (85.154) Epoch: [89][8420/11272] Time 0.832 (0.790) Data 0.001 (0.002) Loss 1.7983 (1.5940) Prec@1 50.625 (56.955) Prec@5 80.625 (85.155) Epoch: [89][8430/11272] Time 0.852 (0.790) Data 0.002 (0.002) Loss 1.5404 (1.5940) Prec@1 61.250 (56.956) Prec@5 84.375 (85.154) Epoch: [89][8440/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.7468 (1.5940) Prec@1 55.625 (56.958) Prec@5 81.875 (85.153) Epoch: [89][8450/11272] Time 0.720 (0.790) Data 0.002 (0.002) Loss 1.6523 (1.5940) Prec@1 58.750 (56.958) Prec@5 82.500 (85.153) Epoch: [89][8460/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.6257 (1.5940) Prec@1 60.625 (56.959) Prec@5 81.250 (85.152) Epoch: [89][8470/11272] Time 0.825 (0.790) Data 0.002 (0.002) Loss 1.5648 (1.5940) Prec@1 58.125 (56.959) Prec@5 84.375 (85.152) Epoch: [89][8480/11272] Time 0.730 (0.790) Data 0.002 (0.002) Loss 1.7372 (1.5940) Prec@1 53.750 (56.956) Prec@5 84.375 (85.151) Epoch: [89][8490/11272] Time 0.786 (0.790) Data 0.002 (0.002) Loss 1.5606 (1.5939) Prec@1 59.375 (56.957) Prec@5 84.375 (85.153) Epoch: [89][8500/11272] Time 0.860 (0.790) Data 0.001 (0.002) Loss 1.5070 (1.5941) Prec@1 58.125 (56.954) Prec@5 86.250 (85.151) Epoch: [89][8510/11272] Time 0.817 (0.790) Data 0.002 (0.002) Loss 1.4923 (1.5941) Prec@1 59.375 (56.952) Prec@5 84.375 (85.152) Epoch: [89][8520/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.7291 (1.5943) Prec@1 57.500 (56.948) Prec@5 81.250 (85.149) Epoch: [89][8530/11272] Time 0.890 (0.790) Data 0.001 (0.002) Loss 1.8534 (1.5943) Prec@1 51.875 (56.947) Prec@5 80.000 (85.149) Epoch: [89][8540/11272] Time 0.822 (0.790) Data 0.001 (0.002) Loss 1.6877 (1.5943) Prec@1 53.750 (56.945) Prec@5 83.750 (85.149) Epoch: [89][8550/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.4924 (1.5943) Prec@1 59.375 (56.943) Prec@5 84.375 (85.148) Epoch: [89][8560/11272] Time 0.746 (0.790) Data 0.001 (0.002) Loss 1.3888 (1.5943) Prec@1 61.875 (56.944) Prec@5 88.750 (85.148) Epoch: [89][8570/11272] Time 0.903 (0.790) Data 0.003 (0.002) Loss 1.6081 (1.5943) Prec@1 56.250 (56.946) Prec@5 85.000 (85.148) Epoch: [89][8580/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.7656 (1.5943) Prec@1 48.750 (56.946) Prec@5 81.250 (85.148) Epoch: [89][8590/11272] Time 0.750 (0.790) Data 0.001 (0.002) Loss 1.6152 (1.5943) Prec@1 51.250 (56.946) Prec@5 86.875 (85.149) Epoch: [89][8600/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.7538 (1.5943) Prec@1 55.000 (56.943) Prec@5 81.875 (85.148) Epoch: [89][8610/11272] Time 0.908 (0.790) Data 0.002 (0.002) Loss 1.6728 (1.5944) Prec@1 56.875 (56.944) Prec@5 85.000 (85.146) Epoch: [89][8620/11272] Time 0.808 (0.790) Data 0.001 (0.002) Loss 1.5074 (1.5945) Prec@1 60.000 (56.942) Prec@5 86.875 (85.144) Epoch: [89][8630/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.8243 (1.5946) Prec@1 48.125 (56.941) Prec@5 82.500 (85.144) Epoch: [89][8640/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.7960 (1.5946) Prec@1 51.875 (56.940) Prec@5 80.000 (85.143) Epoch: [89][8650/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.4749 (1.5947) Prec@1 58.750 (56.940) Prec@5 89.375 (85.141) Epoch: [89][8660/11272] Time 0.716 (0.790) Data 0.004 (0.002) Loss 1.6893 (1.5947) Prec@1 54.375 (56.940) Prec@5 83.750 (85.139) Epoch: [89][8670/11272] Time 0.727 (0.790) Data 0.002 (0.002) Loss 1.5296 (1.5947) Prec@1 56.875 (56.941) Prec@5 89.375 (85.139) Epoch: [89][8680/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 1.7393 (1.5948) Prec@1 58.125 (56.941) Prec@5 78.125 (85.137) Epoch: [89][8690/11272] Time 0.974 (0.790) Data 0.001 (0.002) Loss 1.6011 (1.5947) Prec@1 55.625 (56.944) Prec@5 86.875 (85.138) Epoch: [89][8700/11272] Time 0.756 (0.790) Data 0.001 (0.002) Loss 1.6230 (1.5947) Prec@1 57.500 (56.945) Prec@5 85.625 (85.136) Epoch: [89][8710/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 1.6377 (1.5948) Prec@1 55.625 (56.942) Prec@5 85.000 (85.135) Epoch: [89][8720/11272] Time 0.840 (0.790) Data 0.001 (0.002) Loss 1.5508 (1.5949) Prec@1 60.000 (56.942) Prec@5 83.750 (85.133) Epoch: [89][8730/11272] Time 0.854 (0.790) Data 0.002 (0.002) Loss 1.5347 (1.5949) Prec@1 58.750 (56.943) Prec@5 86.250 (85.132) Epoch: [89][8740/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.6388 (1.5949) Prec@1 56.875 (56.942) Prec@5 83.125 (85.133) Epoch: [89][8750/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 1.5984 (1.5949) Prec@1 60.625 (56.942) Prec@5 83.125 (85.133) Epoch: [89][8760/11272] Time 0.836 (0.790) Data 0.001 (0.002) Loss 1.5740 (1.5950) Prec@1 55.625 (56.941) Prec@5 83.125 (85.132) Epoch: [89][8770/11272] Time 0.833 (0.790) Data 0.002 (0.002) Loss 1.4492 (1.5950) Prec@1 60.000 (56.938) Prec@5 83.750 (85.131) Epoch: [89][8780/11272] Time 0.760 (0.790) Data 0.001 (0.002) Loss 1.5477 (1.5950) Prec@1 52.500 (56.935) Prec@5 87.500 (85.131) Epoch: [89][8790/11272] Time 0.900 (0.790) Data 0.002 (0.002) Loss 1.3236 (1.5950) Prec@1 58.750 (56.936) Prec@5 92.500 (85.131) Epoch: [89][8800/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.7949 (1.5951) Prec@1 53.750 (56.936) Prec@5 81.250 (85.131) Epoch: [89][8810/11272] Time 0.721 (0.790) Data 0.001 (0.002) Loss 1.6492 (1.5950) Prec@1 55.625 (56.937) Prec@5 85.000 (85.133) Epoch: [89][8820/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.6691 (1.5951) Prec@1 48.125 (56.935) Prec@5 85.000 (85.132) Epoch: [89][8830/11272] Time 0.854 (0.790) Data 0.001 (0.002) Loss 1.6407 (1.5951) Prec@1 55.000 (56.937) Prec@5 86.875 (85.131) Epoch: [89][8840/11272] Time 0.849 (0.790) Data 0.002 (0.002) Loss 1.4582 (1.5951) Prec@1 59.375 (56.937) Prec@5 86.875 (85.132) Epoch: [89][8850/11272] Time 0.746 (0.790) Data 0.002 (0.002) Loss 1.3650 (1.5951) Prec@1 60.625 (56.939) Prec@5 91.875 (85.133) Epoch: [89][8860/11272] Time 0.722 (0.790) Data 0.002 (0.002) Loss 1.6887 (1.5951) Prec@1 54.375 (56.939) Prec@5 84.375 (85.133) Epoch: [89][8870/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.5275 (1.5951) Prec@1 55.625 (56.938) Prec@5 87.500 (85.133) Epoch: [89][8880/11272] Time 0.849 (0.790) Data 0.001 (0.002) Loss 1.6436 (1.5952) Prec@1 53.750 (56.937) Prec@5 86.875 (85.134) Epoch: [89][8890/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.5279 (1.5951) Prec@1 57.500 (56.939) Prec@5 85.625 (85.135) Epoch: [89][8900/11272] Time 0.768 (0.790) Data 0.003 (0.002) Loss 1.6784 (1.5951) Prec@1 56.250 (56.941) Prec@5 83.750 (85.135) Epoch: [89][8910/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.6535 (1.5952) Prec@1 53.750 (56.938) Prec@5 82.500 (85.131) Epoch: [89][8920/11272] Time 0.801 (0.790) Data 0.001 (0.002) Loss 1.5601 (1.5952) Prec@1 58.750 (56.938) Prec@5 84.375 (85.131) Epoch: [89][8930/11272] Time 0.707 (0.790) Data 0.001 (0.002) Loss 1.3517 (1.5953) Prec@1 63.750 (56.938) Prec@5 89.375 (85.129) Epoch: [89][8940/11272] Time 0.845 (0.790) Data 0.001 (0.002) Loss 1.5249 (1.5952) Prec@1 57.500 (56.941) Prec@5 83.125 (85.130) Epoch: [89][8950/11272] Time 0.865 (0.790) Data 0.002 (0.002) Loss 1.6221 (1.5952) Prec@1 57.500 (56.940) Prec@5 86.250 (85.131) Epoch: [89][8960/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.5276 (1.5952) Prec@1 58.750 (56.941) Prec@5 86.250 (85.131) Epoch: [89][8970/11272] Time 0.762 (0.790) Data 0.002 (0.002) Loss 1.4110 (1.5952) Prec@1 68.125 (56.942) Prec@5 85.625 (85.130) Epoch: [89][8980/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.5657 (1.5953) Prec@1 60.000 (56.940) Prec@5 84.375 (85.129) Epoch: [89][8990/11272] Time 0.804 (0.790) Data 0.001 (0.002) Loss 1.5471 (1.5953) Prec@1 57.500 (56.939) Prec@5 83.750 (85.127) Epoch: [89][9000/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.7098 (1.5954) Prec@1 56.875 (56.939) Prec@5 83.750 (85.126) Epoch: [89][9010/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.6715 (1.5954) Prec@1 51.875 (56.938) Prec@5 86.250 (85.126) Epoch: [89][9020/11272] Time 0.892 (0.790) Data 0.001 (0.002) Loss 1.5654 (1.5953) Prec@1 57.500 (56.937) Prec@5 84.375 (85.127) Epoch: [89][9030/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.4753 (1.5953) Prec@1 56.875 (56.936) Prec@5 88.750 (85.127) Epoch: [89][9040/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.5447 (1.5953) Prec@1 57.500 (56.936) Prec@5 85.000 (85.127) Epoch: [89][9050/11272] Time 0.744 (0.790) Data 0.002 (0.002) Loss 1.7171 (1.5953) Prec@1 55.000 (56.935) Prec@5 83.750 (85.128) Epoch: [89][9060/11272] Time 0.859 (0.790) Data 0.002 (0.002) Loss 1.3822 (1.5954) Prec@1 64.375 (56.934) Prec@5 86.875 (85.127) Epoch: [89][9070/11272] Time 0.738 (0.790) Data 0.001 (0.002) Loss 1.5629 (1.5954) Prec@1 57.500 (56.933) Prec@5 86.875 (85.128) Epoch: [89][9080/11272] Time 0.757 (0.790) Data 0.001 (0.002) Loss 1.4272 (1.5953) Prec@1 59.375 (56.935) Prec@5 87.500 (85.129) Epoch: [89][9090/11272] Time 0.823 (0.790) Data 0.001 (0.002) Loss 1.5081 (1.5954) Prec@1 60.000 (56.931) Prec@5 87.500 (85.127) Epoch: [89][9100/11272] Time 0.869 (0.790) Data 0.002 (0.002) Loss 1.6588 (1.5954) Prec@1 49.375 (56.933) Prec@5 85.625 (85.127) Epoch: [89][9110/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.5537 (1.5954) Prec@1 59.375 (56.935) Prec@5 84.375 (85.127) Epoch: [89][9120/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.5896 (1.5954) Prec@1 57.500 (56.935) Prec@5 83.125 (85.128) Epoch: [89][9130/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.7831 (1.5955) Prec@1 55.625 (56.934) Prec@5 84.375 (85.126) Epoch: [89][9140/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.6454 (1.5955) Prec@1 54.375 (56.934) Prec@5 83.750 (85.128) Epoch: [89][9150/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.4982 (1.5955) Prec@1 53.125 (56.933) Prec@5 88.125 (85.127) Epoch: [89][9160/11272] Time 0.727 (0.790) Data 0.003 (0.002) Loss 1.7269 (1.5956) Prec@1 56.250 (56.931) Prec@5 81.250 (85.125) Epoch: [89][9170/11272] Time 0.852 (0.790) Data 0.001 (0.002) Loss 1.7513 (1.5957) Prec@1 51.875 (56.928) Prec@5 84.375 (85.123) Epoch: [89][9180/11272] Time 0.843 (0.790) Data 0.002 (0.002) Loss 1.6123 (1.5957) Prec@1 56.250 (56.929) Prec@5 86.250 (85.124) Epoch: [89][9190/11272] Time 0.691 (0.790) Data 0.001 (0.002) Loss 1.8368 (1.5958) Prec@1 50.000 (56.927) Prec@5 81.250 (85.122) Epoch: [89][9200/11272] Time 0.858 (0.790) Data 0.001 (0.002) Loss 1.8736 (1.5959) Prec@1 52.500 (56.926) Prec@5 80.625 (85.120) Epoch: [89][9210/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.7185 (1.5959) Prec@1 49.375 (56.923) Prec@5 87.500 (85.119) Epoch: [89][9220/11272] Time 0.741 (0.790) Data 0.005 (0.002) Loss 1.4952 (1.5960) Prec@1 57.500 (56.921) Prec@5 88.125 (85.119) Epoch: [89][9230/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.8603 (1.5961) Prec@1 50.625 (56.919) Prec@5 80.000 (85.116) Epoch: [89][9240/11272] Time 0.810 (0.790) Data 0.001 (0.002) Loss 1.6351 (1.5962) Prec@1 55.000 (56.916) Prec@5 84.375 (85.115) Epoch: [89][9250/11272] Time 0.778 (0.790) Data 0.001 (0.002) Loss 1.4734 (1.5962) Prec@1 59.375 (56.915) Prec@5 86.875 (85.115) Epoch: [89][9260/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.6945 (1.5962) Prec@1 55.000 (56.916) Prec@5 84.375 (85.114) Epoch: [89][9270/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.6207 (1.5963) Prec@1 58.125 (56.916) Prec@5 83.750 (85.113) Epoch: [89][9280/11272] Time 0.862 (0.790) Data 0.002 (0.002) Loss 1.7001 (1.5963) Prec@1 55.000 (56.916) Prec@5 82.500 (85.113) Epoch: [89][9290/11272] Time 0.795 (0.790) Data 0.001 (0.002) Loss 1.6567 (1.5963) Prec@1 55.625 (56.916) Prec@5 83.750 (85.114) Epoch: [89][9300/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.7028 (1.5964) Prec@1 59.375 (56.915) Prec@5 83.750 (85.114) Epoch: [89][9310/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.5700 (1.5964) Prec@1 61.250 (56.915) Prec@5 85.000 (85.114) Epoch: [89][9320/11272] Time 0.852 (0.790) Data 0.001 (0.002) Loss 1.6209 (1.5964) Prec@1 54.375 (56.913) Prec@5 83.750 (85.113) Epoch: [89][9330/11272] Time 0.713 (0.790) Data 0.002 (0.002) Loss 1.7097 (1.5965) Prec@1 52.500 (56.913) Prec@5 85.000 (85.113) Epoch: [89][9340/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 1.6417 (1.5965) Prec@1 56.250 (56.913) Prec@5 86.875 (85.112) Epoch: [89][9350/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.5672 (1.5965) Prec@1 55.625 (56.913) Prec@5 85.625 (85.113) Epoch: [89][9360/11272] Time 0.823 (0.790) Data 0.001 (0.002) Loss 1.6130 (1.5965) Prec@1 55.000 (56.913) Prec@5 83.750 (85.113) Epoch: [89][9370/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.6116 (1.5965) Prec@1 57.500 (56.911) Prec@5 86.875 (85.112) Epoch: [89][9380/11272] Time 0.754 (0.790) Data 0.002 (0.002) Loss 1.6774 (1.5965) Prec@1 55.000 (56.911) Prec@5 86.875 (85.114) Epoch: [89][9390/11272] Time 0.812 (0.790) Data 0.001 (0.002) Loss 1.6233 (1.5966) Prec@1 57.500 (56.909) Prec@5 85.000 (85.112) Epoch: [89][9400/11272] Time 0.857 (0.790) Data 0.003 (0.002) Loss 1.6804 (1.5966) Prec@1 58.750 (56.912) Prec@5 81.250 (85.113) Epoch: [89][9410/11272] Time 0.761 (0.790) Data 0.001 (0.002) Loss 1.6038 (1.5966) Prec@1 55.000 (56.911) Prec@5 85.000 (85.113) Epoch: [89][9420/11272] Time 0.730 (0.790) Data 0.001 (0.002) Loss 1.5231 (1.5966) Prec@1 62.500 (56.911) Prec@5 85.000 (85.113) Epoch: [89][9430/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.5883 (1.5965) Prec@1 59.375 (56.912) Prec@5 85.625 (85.114) Epoch: [89][9440/11272] Time 0.816 (0.790) Data 0.001 (0.002) Loss 1.5867 (1.5966) Prec@1 51.875 (56.910) Prec@5 86.250 (85.112) Epoch: [89][9450/11272] Time 0.775 (0.790) Data 0.002 (0.002) Loss 1.5261 (1.5966) Prec@1 53.125 (56.909) Prec@5 88.125 (85.113) Epoch: [89][9460/11272] Time 0.826 (0.790) Data 0.002 (0.002) Loss 1.4094 (1.5966) Prec@1 55.625 (56.909) Prec@5 90.625 (85.115) Epoch: [89][9470/11272] Time 0.820 (0.790) Data 0.001 (0.002) Loss 1.5999 (1.5965) Prec@1 56.250 (56.910) Prec@5 81.875 (85.116) Epoch: [89][9480/11272] Time 0.739 (0.790) Data 0.002 (0.002) Loss 1.7635 (1.5966) Prec@1 48.750 (56.909) Prec@5 84.375 (85.116) Epoch: [89][9490/11272] Time 0.770 (0.790) Data 0.002 (0.002) Loss 1.6008 (1.5966) Prec@1 61.250 (56.907) Prec@5 81.875 (85.114) Epoch: [89][9500/11272] Time 0.869 (0.790) Data 0.001 (0.002) Loss 1.7579 (1.5966) Prec@1 50.625 (56.906) Prec@5 86.250 (85.114) Epoch: [89][9510/11272] Time 0.833 (0.790) Data 0.002 (0.002) Loss 1.5003 (1.5966) Prec@1 60.000 (56.906) Prec@5 84.375 (85.113) Epoch: [89][9520/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.4704 (1.5966) Prec@1 57.500 (56.906) Prec@5 88.125 (85.114) Epoch: [89][9530/11272] Time 0.708 (0.790) Data 0.002 (0.002) Loss 1.5774 (1.5966) Prec@1 53.750 (56.908) Prec@5 86.250 (85.114) Epoch: [89][9540/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.6629 (1.5966) Prec@1 51.875 (56.907) Prec@5 83.125 (85.114) Epoch: [89][9550/11272] Time 0.823 (0.790) Data 0.001 (0.002) Loss 1.6521 (1.5966) Prec@1 56.250 (56.908) Prec@5 87.500 (85.116) Epoch: [89][9560/11272] Time 0.743 (0.790) Data 0.002 (0.002) Loss 1.7313 (1.5966) Prec@1 55.000 (56.908) Prec@5 80.000 (85.116) Epoch: [89][9570/11272] Time 0.743 (0.790) Data 0.001 (0.002) Loss 1.6483 (1.5966) Prec@1 56.250 (56.907) Prec@5 82.500 (85.115) Epoch: [89][9580/11272] Time 0.905 (0.790) Data 0.002 (0.002) Loss 1.7351 (1.5966) Prec@1 50.625 (56.907) Prec@5 83.125 (85.113) Epoch: [89][9590/11272] Time 0.708 (0.790) Data 0.002 (0.002) Loss 1.5596 (1.5966) Prec@1 56.250 (56.907) Prec@5 86.875 (85.115) Epoch: [89][9600/11272] Time 0.756 (0.790) Data 0.001 (0.002) Loss 1.6505 (1.5967) Prec@1 51.875 (56.905) Prec@5 81.875 (85.113) Epoch: [89][9610/11272] Time 0.843 (0.790) Data 0.001 (0.002) Loss 1.6886 (1.5967) Prec@1 57.500 (56.904) Prec@5 81.250 (85.113) Epoch: [89][9620/11272] Time 0.819 (0.790) Data 0.002 (0.002) Loss 1.5764 (1.5968) Prec@1 53.125 (56.904) Prec@5 88.125 (85.111) Epoch: [89][9630/11272] Time 0.748 (0.790) Data 0.002 (0.002) Loss 1.4403 (1.5968) Prec@1 60.625 (56.903) Prec@5 86.250 (85.111) Epoch: [89][9640/11272] Time 0.733 (0.790) Data 0.001 (0.002) Loss 1.4833 (1.5967) Prec@1 62.500 (56.905) Prec@5 88.125 (85.113) Epoch: [89][9650/11272] Time 0.801 (0.790) Data 0.002 (0.002) Loss 1.7577 (1.5967) Prec@1 51.250 (56.905) Prec@5 81.875 (85.112) Epoch: [89][9660/11272] Time 0.822 (0.790) Data 0.002 (0.002) Loss 1.3715 (1.5967) Prec@1 61.875 (56.904) Prec@5 87.500 (85.112) Epoch: [89][9670/11272] Time 0.738 (0.790) Data 0.002 (0.002) Loss 1.5046 (1.5968) Prec@1 59.375 (56.904) Prec@5 89.375 (85.112) Epoch: [89][9680/11272] Time 0.736 (0.790) Data 0.001 (0.002) Loss 1.8520 (1.5968) Prec@1 52.500 (56.902) Prec@5 81.875 (85.111) Epoch: [89][9690/11272] Time 0.934 (0.790) Data 0.002 (0.002) Loss 1.7201 (1.5968) Prec@1 55.000 (56.901) Prec@5 80.625 (85.109) Epoch: [89][9700/11272] Time 0.904 (0.790) Data 0.001 (0.002) Loss 1.6136 (1.5969) Prec@1 58.125 (56.900) Prec@5 82.500 (85.108) Epoch: [89][9710/11272] Time 0.721 (0.790) Data 0.001 (0.002) Loss 1.5393 (1.5968) Prec@1 61.875 (56.900) Prec@5 88.125 (85.110) Epoch: [89][9720/11272] Time 0.844 (0.790) Data 0.001 (0.002) Loss 1.4837 (1.5968) Prec@1 54.375 (56.899) Prec@5 89.375 (85.110) Epoch: [89][9730/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 1.4780 (1.5968) Prec@1 60.625 (56.902) Prec@5 86.250 (85.110) Epoch: [89][9740/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.4549 (1.5967) Prec@1 52.500 (56.901) Prec@5 89.375 (85.112) Epoch: [89][9750/11272] Time 0.792 (0.790) Data 0.002 (0.002) Loss 1.4174 (1.5967) Prec@1 58.750 (56.901) Prec@5 86.875 (85.113) Epoch: [89][9760/11272] Time 0.873 (0.790) Data 0.002 (0.002) Loss 1.6454 (1.5967) Prec@1 51.250 (56.900) Prec@5 88.125 (85.112) Epoch: [89][9770/11272] Time 0.806 (0.790) Data 0.001 (0.002) Loss 1.7195 (1.5968) Prec@1 55.000 (56.898) Prec@5 84.375 (85.112) Epoch: [89][9780/11272] Time 0.741 (0.790) Data 0.002 (0.002) Loss 1.7673 (1.5968) Prec@1 55.625 (56.899) Prec@5 81.875 (85.112) Epoch: [89][9790/11272] Time 0.725 (0.790) Data 0.001 (0.002) Loss 1.4202 (1.5968) Prec@1 60.000 (56.899) Prec@5 83.750 (85.110) Epoch: [89][9800/11272] Time 0.821 (0.790) Data 0.001 (0.002) Loss 1.7685 (1.5969) Prec@1 56.250 (56.898) Prec@5 84.375 (85.110) Epoch: [89][9810/11272] Time 0.851 (0.790) Data 0.001 (0.002) Loss 1.6579 (1.5969) Prec@1 53.750 (56.896) Prec@5 86.250 (85.110) Epoch: [89][9820/11272] Time 0.712 (0.790) Data 0.002 (0.002) Loss 1.6036 (1.5969) Prec@1 60.000 (56.897) Prec@5 82.500 (85.109) Epoch: [89][9830/11272] Time 0.731 (0.790) Data 0.001 (0.002) Loss 1.6889 (1.5970) Prec@1 55.625 (56.896) Prec@5 83.750 (85.108) Epoch: [89][9840/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.7421 (1.5971) Prec@1 53.750 (56.894) Prec@5 83.750 (85.106) Epoch: [89][9850/11272] Time 0.807 (0.790) Data 0.001 (0.002) Loss 1.5802 (1.5970) Prec@1 58.750 (56.895) Prec@5 84.375 (85.107) Epoch: [89][9860/11272] Time 0.779 (0.790) Data 0.001 (0.002) Loss 1.3812 (1.5971) Prec@1 63.125 (56.895) Prec@5 86.875 (85.106) Epoch: [89][9870/11272] Time 0.868 (0.790) Data 0.002 (0.002) Loss 1.6914 (1.5971) Prec@1 55.000 (56.894) Prec@5 83.750 (85.105) Epoch: [89][9880/11272] Time 0.810 (0.790) Data 0.001 (0.002) Loss 1.5074 (1.5971) Prec@1 62.500 (56.893) Prec@5 87.500 (85.105) Epoch: [89][9890/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.3929 (1.5971) Prec@1 60.000 (56.893) Prec@5 88.750 (85.106) Epoch: [89][9900/11272] Time 0.744 (0.790) Data 0.001 (0.002) Loss 1.4210 (1.5971) Prec@1 61.250 (56.893) Prec@5 86.875 (85.106) Epoch: [89][9910/11272] Time 0.874 (0.790) Data 0.002 (0.002) Loss 1.5710 (1.5971) Prec@1 58.125 (56.893) Prec@5 81.250 (85.107) Epoch: [89][9920/11272] Time 0.829 (0.790) Data 0.001 (0.002) Loss 1.4428 (1.5970) Prec@1 60.625 (56.894) Prec@5 87.500 (85.107) Epoch: [89][9930/11272] Time 0.778 (0.790) Data 0.001 (0.002) Loss 1.6342 (1.5970) Prec@1 55.000 (56.894) Prec@5 84.375 (85.106) Epoch: [89][9940/11272] Time 0.711 (0.790) Data 0.002 (0.002) Loss 1.6513 (1.5970) Prec@1 58.125 (56.895) Prec@5 84.375 (85.105) Epoch: [89][9950/11272] Time 0.904 (0.790) Data 0.002 (0.002) Loss 1.4754 (1.5971) Prec@1 60.625 (56.894) Prec@5 87.500 (85.106) Epoch: [89][9960/11272] Time 0.874 (0.790) Data 0.001 (0.002) Loss 1.7336 (1.5971) Prec@1 53.125 (56.894) Prec@5 82.500 (85.105) Epoch: [89][9970/11272] Time 0.762 (0.790) Data 0.002 (0.002) Loss 1.6453 (1.5971) Prec@1 53.750 (56.894) Prec@5 88.750 (85.105) Epoch: [89][9980/11272] Time 0.738 (0.790) Data 0.003 (0.002) Loss 1.7979 (1.5971) Prec@1 52.500 (56.894) Prec@5 80.000 (85.104) Epoch: [89][9990/11272] Time 0.815 (0.790) Data 0.001 (0.002) Loss 1.5822 (1.5971) Prec@1 61.250 (56.895) Prec@5 82.500 (85.104) Epoch: [89][10000/11272] Time 0.712 (0.790) Data 0.001 (0.002) Loss 1.4985 (1.5971) Prec@1 63.750 (56.894) Prec@5 85.000 (85.104) Epoch: [89][10010/11272] Time 0.732 (0.790) Data 0.003 (0.002) Loss 1.6001 (1.5972) Prec@1 56.250 (56.894) Prec@5 83.125 (85.104) Epoch: [89][10020/11272] Time 0.837 (0.790) Data 0.001 (0.002) Loss 1.6991 (1.5972) Prec@1 53.750 (56.893) Prec@5 82.500 (85.101) Epoch: [89][10030/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.5629 (1.5972) Prec@1 56.250 (56.892) Prec@5 90.000 (85.102) Epoch: [89][10040/11272] Time 0.737 (0.790) Data 0.002 (0.002) Loss 1.6800 (1.5973) Prec@1 59.375 (56.892) Prec@5 83.125 (85.102) Epoch: [89][10050/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.5810 (1.5973) Prec@1 56.250 (56.891) Prec@5 86.875 (85.102) Epoch: [89][10060/11272] Time 0.839 (0.790) Data 0.001 (0.002) Loss 1.7708 (1.5973) Prec@1 52.500 (56.890) Prec@5 83.125 (85.102) Epoch: [89][10070/11272] Time 0.842 (0.790) Data 0.001 (0.002) Loss 1.6822 (1.5974) Prec@1 54.375 (56.889) Prec@5 83.125 (85.100) Epoch: [89][10080/11272] Time 0.730 (0.790) Data 0.002 (0.002) Loss 1.7239 (1.5974) Prec@1 53.750 (56.890) Prec@5 85.000 (85.100) Epoch: [89][10090/11272] Time 0.741 (0.790) Data 0.002 (0.002) Loss 1.5650 (1.5974) Prec@1 56.875 (56.890) Prec@5 86.875 (85.100) Epoch: [89][10100/11272] Time 0.924 (0.790) Data 0.002 (0.002) Loss 1.5004 (1.5974) Prec@1 55.625 (56.891) Prec@5 88.125 (85.101) Epoch: [89][10110/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.7175 (1.5974) Prec@1 54.375 (56.891) Prec@5 82.500 (85.100) Epoch: [89][10120/11272] Time 0.750 (0.790) Data 0.002 (0.002) Loss 1.5596 (1.5975) Prec@1 55.000 (56.890) Prec@5 85.000 (85.098) Epoch: [89][10130/11272] Time 0.893 (0.790) Data 0.001 (0.002) Loss 1.4079 (1.5975) Prec@1 60.625 (56.890) Prec@5 85.000 (85.098) Epoch: [89][10140/11272] Time 0.833 (0.790) Data 0.001 (0.002) Loss 1.6371 (1.5974) Prec@1 54.375 (56.890) Prec@5 83.750 (85.098) Epoch: [89][10150/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.6632 (1.5975) Prec@1 51.875 (56.889) Prec@5 88.125 (85.096) Epoch: [89][10160/11272] Time 0.717 (0.790) Data 0.001 (0.002) Loss 1.3673 (1.5976) Prec@1 65.625 (56.889) Prec@5 88.125 (85.096) Epoch: [89][10170/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.4791 (1.5975) Prec@1 61.250 (56.890) Prec@5 85.625 (85.096) Epoch: [89][10180/11272] Time 0.835 (0.790) Data 0.002 (0.002) Loss 1.5292 (1.5976) Prec@1 56.875 (56.889) Prec@5 83.125 (85.097) Epoch: [89][10190/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.5128 (1.5975) Prec@1 59.375 (56.890) Prec@5 88.125 (85.097) Epoch: [89][10200/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.3172 (1.5976) Prec@1 61.875 (56.890) Prec@5 90.000 (85.097) Epoch: [89][10210/11272] Time 0.819 (0.790) Data 0.001 (0.002) Loss 1.5291 (1.5976) Prec@1 58.750 (56.887) Prec@5 88.750 (85.098) Epoch: [89][10220/11272] Time 0.872 (0.790) Data 0.002 (0.002) Loss 1.7713 (1.5976) Prec@1 55.625 (56.887) Prec@5 79.375 (85.098) Epoch: [89][10230/11272] Time 0.757 (0.790) Data 0.001 (0.002) Loss 1.6013 (1.5976) Prec@1 55.625 (56.884) Prec@5 85.625 (85.097) Epoch: [89][10240/11272] Time 0.717 (0.790) Data 0.002 (0.002) Loss 1.6902 (1.5977) Prec@1 56.250 (56.883) Prec@5 80.625 (85.097) Epoch: [89][10250/11272] Time 0.845 (0.790) Data 0.001 (0.002) Loss 1.6003 (1.5977) Prec@1 58.750 (56.880) Prec@5 83.125 (85.096) Epoch: [89][10260/11272] Time 0.720 (0.790) Data 0.004 (0.002) Loss 1.5894 (1.5977) Prec@1 55.000 (56.882) Prec@5 87.500 (85.097) Epoch: [89][10270/11272] Time 0.736 (0.790) Data 0.002 (0.002) Loss 1.5844 (1.5977) Prec@1 56.875 (56.881) Prec@5 85.000 (85.097) Epoch: [89][10280/11272] Time 0.855 (0.790) Data 0.001 (0.002) Loss 1.7987 (1.5978) Prec@1 46.875 (56.880) Prec@5 83.750 (85.097) Epoch: [89][10290/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 1.6310 (1.5978) Prec@1 58.125 (56.880) Prec@5 83.125 (85.096) Epoch: [89][10300/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.4729 (1.5978) Prec@1 60.000 (56.879) Prec@5 85.625 (85.094) Epoch: [89][10310/11272] Time 0.734 (0.790) Data 0.002 (0.002) Loss 1.4966 (1.5978) Prec@1 56.875 (56.879) Prec@5 88.750 (85.094) Epoch: [89][10320/11272] Time 0.892 (0.790) Data 0.001 (0.002) Loss 1.5773 (1.5979) Prec@1 55.625 (56.877) Prec@5 83.125 (85.094) Epoch: [89][10330/11272] Time 0.878 (0.790) Data 0.002 (0.002) Loss 1.7893 (1.5979) Prec@1 59.375 (56.877) Prec@5 80.000 (85.095) Epoch: [89][10340/11272] Time 0.725 (0.790) Data 0.002 (0.002) Loss 1.4781 (1.5978) Prec@1 62.500 (56.877) Prec@5 87.500 (85.095) Epoch: [89][10350/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.4710 (1.5979) Prec@1 58.750 (56.878) Prec@5 87.500 (85.095) Epoch: [89][10360/11272] Time 0.828 (0.790) Data 0.001 (0.002) Loss 1.4681 (1.5979) Prec@1 61.875 (56.878) Prec@5 88.750 (85.095) Epoch: [89][10370/11272] Time 0.857 (0.790) Data 0.001 (0.002) Loss 1.6900 (1.5978) Prec@1 53.750 (56.878) Prec@5 86.250 (85.096) Epoch: [89][10380/11272] Time 0.719 (0.790) Data 0.001 (0.002) Loss 1.6466 (1.5978) Prec@1 55.000 (56.880) Prec@5 84.375 (85.097) Epoch: [89][10390/11272] Time 0.881 (0.790) Data 0.001 (0.002) Loss 1.4568 (1.5978) Prec@1 60.000 (56.881) Prec@5 88.125 (85.096) Epoch: [89][10400/11272] Time 0.825 (0.790) Data 0.001 (0.002) Loss 1.5669 (1.5978) Prec@1 58.125 (56.882) Prec@5 85.625 (85.096) Epoch: [89][10410/11272] Time 0.745 (0.790) Data 0.001 (0.002) Loss 1.6488 (1.5978) Prec@1 51.250 (56.883) Prec@5 81.875 (85.096) Epoch: [89][10420/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.4913 (1.5978) Prec@1 60.625 (56.882) Prec@5 85.000 (85.096) Epoch: [89][10430/11272] Time 0.824 (0.790) Data 0.001 (0.002) Loss 1.5422 (1.5978) Prec@1 52.500 (56.880) Prec@5 88.125 (85.096) Epoch: [89][10440/11272] Time 0.857 (0.790) Data 0.002 (0.002) Loss 1.3172 (1.5978) Prec@1 65.000 (56.881) Prec@5 88.125 (85.096) Epoch: [89][10450/11272] Time 0.723 (0.790) Data 0.002 (0.002) Loss 1.5944 (1.5977) Prec@1 58.125 (56.880) Prec@5 85.000 (85.096) Epoch: [89][10460/11272] Time 0.739 (0.790) Data 0.001 (0.002) Loss 1.6498 (1.5977) Prec@1 53.125 (56.880) Prec@5 84.375 (85.097) Epoch: [89][10470/11272] Time 0.878 (0.790) Data 0.001 (0.002) Loss 1.7136 (1.5977) Prec@1 56.250 (56.879) Prec@5 81.875 (85.097) Epoch: [89][10480/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.6415 (1.5977) Prec@1 58.750 (56.880) Prec@5 83.750 (85.096) Epoch: [89][10490/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.4850 (1.5977) Prec@1 56.250 (56.880) Prec@5 85.625 (85.095) Epoch: [89][10500/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.5642 (1.5978) Prec@1 59.375 (56.879) Prec@5 81.875 (85.095) Epoch: [89][10510/11272] Time 0.823 (0.790) Data 0.002 (0.002) Loss 1.4422 (1.5978) Prec@1 56.875 (56.880) Prec@5 89.375 (85.094) Epoch: [89][10520/11272] Time 0.770 (0.790) Data 0.005 (0.002) Loss 1.7757 (1.5979) Prec@1 61.250 (56.879) Prec@5 83.125 (85.093) Epoch: [89][10530/11272] Time 0.714 (0.790) Data 0.002 (0.002) Loss 2.0098 (1.5979) Prec@1 46.875 (56.877) Prec@5 80.000 (85.092) Epoch: [89][10540/11272] Time 0.851 (0.790) Data 0.002 (0.002) Loss 1.5934 (1.5980) Prec@1 58.125 (56.876) Prec@5 83.750 (85.090) Epoch: [89][10550/11272] Time 0.878 (0.790) Data 0.001 (0.002) Loss 1.6790 (1.5980) Prec@1 54.375 (56.877) Prec@5 83.125 (85.090) Epoch: [89][10560/11272] Time 0.714 (0.790) Data 0.001 (0.002) Loss 1.5429 (1.5980) Prec@1 61.875 (56.877) Prec@5 85.625 (85.089) Epoch: [89][10570/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.4381 (1.5980) Prec@1 60.625 (56.877) Prec@5 86.250 (85.089) Epoch: [89][10580/11272] Time 0.915 (0.790) Data 0.002 (0.002) Loss 1.6378 (1.5980) Prec@1 55.625 (56.877) Prec@5 81.875 (85.089) Epoch: [89][10590/11272] Time 0.849 (0.790) Data 0.002 (0.002) Loss 1.5555 (1.5980) Prec@1 55.625 (56.878) Prec@5 87.500 (85.089) Epoch: [89][10600/11272] Time 0.712 (0.790) Data 0.002 (0.002) Loss 1.5800 (1.5980) Prec@1 56.875 (56.878) Prec@5 85.625 (85.089) Epoch: [89][10610/11272] Time 0.727 (0.790) Data 0.001 (0.002) Loss 1.5323 (1.5980) Prec@1 64.375 (56.880) Prec@5 86.250 (85.089) Epoch: [89][10620/11272] Time 0.852 (0.790) Data 0.001 (0.002) Loss 1.6117 (1.5980) Prec@1 58.750 (56.880) Prec@5 85.000 (85.090) Epoch: [89][10630/11272] Time 0.853 (0.790) Data 0.001 (0.002) Loss 1.6826 (1.5979) Prec@1 55.625 (56.880) Prec@5 83.125 (85.091) Epoch: [89][10640/11272] Time 0.729 (0.790) Data 0.003 (0.002) Loss 1.6901 (1.5980) Prec@1 57.500 (56.879) Prec@5 84.375 (85.090) Epoch: [89][10650/11272] Time 0.880 (0.790) Data 0.002 (0.002) Loss 1.4517 (1.5980) Prec@1 60.000 (56.879) Prec@5 86.875 (85.090) Epoch: [89][10660/11272] Time 0.893 (0.790) Data 0.002 (0.002) Loss 1.5801 (1.5980) Prec@1 58.750 (56.879) Prec@5 83.750 (85.090) Epoch: [89][10670/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.5029 (1.5980) Prec@1 61.250 (56.880) Prec@5 88.750 (85.091) Epoch: [89][10680/11272] Time 0.729 (0.790) Data 0.001 (0.002) Loss 1.7189 (1.5981) Prec@1 51.875 (56.877) Prec@5 83.125 (85.090) Epoch: [89][10690/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.5670 (1.5980) Prec@1 58.750 (56.879) Prec@5 83.750 (85.091) Epoch: [89][10700/11272] Time 0.828 (0.790) Data 0.002 (0.002) Loss 1.4064 (1.5979) Prec@1 61.875 (56.882) Prec@5 89.375 (85.091) Epoch: [89][10710/11272] Time 0.734 (0.790) Data 0.001 (0.002) Loss 1.6066 (1.5980) Prec@1 56.875 (56.880) Prec@5 83.750 (85.090) Epoch: [89][10720/11272] Time 0.724 (0.790) Data 0.001 (0.002) Loss 1.7510 (1.5980) Prec@1 53.125 (56.881) Prec@5 83.750 (85.090) Epoch: [89][10730/11272] Time 0.894 (0.790) Data 0.002 (0.002) Loss 1.9063 (1.5980) Prec@1 48.125 (56.879) Prec@5 80.625 (85.090) Epoch: [89][10740/11272] Time 0.833 (0.790) Data 0.002 (0.002) Loss 1.7904 (1.5980) Prec@1 51.250 (56.879) Prec@5 81.875 (85.090) Epoch: [89][10750/11272] Time 0.716 (0.790) Data 0.002 (0.002) Loss 1.5680 (1.5980) Prec@1 56.875 (56.878) Prec@5 84.375 (85.090) Epoch: [89][10760/11272] Time 0.770 (0.790) Data 0.001 (0.002) Loss 1.5652 (1.5980) Prec@1 58.125 (56.879) Prec@5 84.375 (85.090) Epoch: [89][10770/11272] Time 0.828 (0.790) Data 0.002 (0.002) Loss 1.5951 (1.5981) Prec@1 57.500 (56.877) Prec@5 86.250 (85.089) Epoch: [89][10780/11272] Time 0.874 (0.790) Data 0.001 (0.002) Loss 1.7044 (1.5980) Prec@1 49.375 (56.877) Prec@5 82.500 (85.090) Epoch: [89][10790/11272] Time 0.710 (0.790) Data 0.001 (0.002) Loss 1.5833 (1.5980) Prec@1 57.500 (56.877) Prec@5 85.000 (85.091) Epoch: [89][10800/11272] Time 0.861 (0.790) Data 0.002 (0.002) Loss 1.7122 (1.5981) Prec@1 53.750 (56.874) Prec@5 83.125 (85.090) Epoch: [89][10810/11272] Time 0.840 (0.790) Data 0.002 (0.002) Loss 1.8370 (1.5982) Prec@1 52.500 (56.873) Prec@5 81.250 (85.089) Epoch: [89][10820/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.6510 (1.5982) Prec@1 56.875 (56.871) Prec@5 86.250 (85.089) Epoch: [89][10830/11272] Time 0.705 (0.790) Data 0.001 (0.002) Loss 1.7658 (1.5983) Prec@1 57.500 (56.871) Prec@5 83.125 (85.089) Epoch: [89][10840/11272] Time 0.892 (0.790) Data 0.002 (0.002) Loss 1.5629 (1.5983) Prec@1 61.250 (56.871) Prec@5 82.500 (85.088) Epoch: [89][10850/11272] Time 0.848 (0.790) Data 0.002 (0.002) Loss 1.6470 (1.5983) Prec@1 51.250 (56.870) Prec@5 82.500 (85.087) Epoch: [89][10860/11272] Time 0.718 (0.790) Data 0.002 (0.002) Loss 1.7418 (1.5984) Prec@1 55.000 (56.868) Prec@5 86.875 (85.086) Epoch: [89][10870/11272] Time 0.722 (0.790) Data 0.001 (0.002) Loss 1.5352 (1.5984) Prec@1 58.750 (56.869) Prec@5 88.125 (85.086) Epoch: [89][10880/11272] Time 0.827 (0.790) Data 0.001 (0.002) Loss 1.6050 (1.5985) Prec@1 56.250 (56.867) Prec@5 85.625 (85.086) Epoch: [89][10890/11272] Time 0.848 (0.790) Data 0.003 (0.002) Loss 1.6175 (1.5985) Prec@1 58.125 (56.868) Prec@5 83.125 (85.086) Epoch: [89][10900/11272] Time 0.756 (0.790) Data 0.002 (0.002) Loss 1.5889 (1.5984) Prec@1 55.000 (56.867) Prec@5 86.250 (85.087) Epoch: [89][10910/11272] Time 0.725 (0.790) Data 0.002 (0.002) Loss 1.5096 (1.5985) Prec@1 63.125 (56.866) Prec@5 86.875 (85.087) Epoch: [89][10920/11272] Time 0.867 (0.790) Data 0.002 (0.002) Loss 1.5979 (1.5985) Prec@1 56.250 (56.865) Prec@5 85.625 (85.086) Epoch: [89][10930/11272] Time 0.723 (0.790) Data 0.001 (0.002) Loss 1.8227 (1.5986) Prec@1 54.375 (56.865) Prec@5 82.500 (85.085) Epoch: [89][10940/11272] Time 0.709 (0.790) Data 0.001 (0.002) Loss 1.8441 (1.5986) Prec@1 50.000 (56.864) Prec@5 81.875 (85.085) Epoch: [89][10950/11272] Time 0.859 (0.790) Data 0.001 (0.002) Loss 1.3574 (1.5987) Prec@1 60.000 (56.863) Prec@5 86.875 (85.084) Epoch: [89][10960/11272] Time 0.866 (0.790) Data 0.002 (0.002) Loss 1.3843 (1.5987) Prec@1 58.750 (56.862) Prec@5 93.750 (85.085) Epoch: [89][10970/11272] Time 0.720 (0.790) Data 0.001 (0.002) Loss 1.2032 (1.5987) Prec@1 70.625 (56.863) Prec@5 90.625 (85.086) Epoch: [89][10980/11272] Time 0.729 (0.790) Data 0.002 (0.002) Loss 1.7753 (1.5987) Prec@1 54.375 (56.864) Prec@5 81.250 (85.085) Epoch: [89][10990/11272] Time 0.860 (0.790) Data 0.002 (0.002) Loss 1.2990 (1.5987) Prec@1 67.500 (56.867) Prec@5 88.750 (85.086) Epoch: [89][11000/11272] Time 0.818 (0.790) Data 0.002 (0.002) Loss 1.6879 (1.5987) Prec@1 55.000 (56.865) Prec@5 83.750 (85.085) Epoch: [89][11010/11272] Time 0.724 (0.790) Data 0.002 (0.002) Loss 1.5102 (1.5988) Prec@1 63.125 (56.865) Prec@5 83.125 (85.084) Epoch: [89][11020/11272] Time 0.715 (0.790) Data 0.002 (0.002) Loss 1.5656 (1.5987) Prec@1 55.000 (56.866) Prec@5 84.375 (85.085) Epoch: [89][11030/11272] Time 0.834 (0.790) Data 0.001 (0.002) Loss 1.6420 (1.5988) Prec@1 56.875 (56.865) Prec@5 83.125 (85.082) Epoch: [89][11040/11272] Time 0.850 (0.790) Data 0.001 (0.002) Loss 1.6633 (1.5987) Prec@1 56.250 (56.866) Prec@5 85.625 (85.084) Epoch: [89][11050/11272] Time 0.716 (0.790) Data 0.001 (0.002) Loss 1.6870 (1.5988) Prec@1 56.250 (56.865) Prec@5 85.000 (85.082) Epoch: [89][11060/11272] Time 0.876 (0.790) Data 0.001 (0.002) Loss 1.4285 (1.5988) Prec@1 60.000 (56.864) Prec@5 89.375 (85.080) Epoch: [89][11070/11272] Time 0.853 (0.790) Data 0.002 (0.002) Loss 1.5802 (1.5988) Prec@1 55.000 (56.864) Prec@5 86.875 (85.080) Epoch: [89][11080/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.7186 (1.5988) Prec@1 49.375 (56.862) Prec@5 85.000 (85.080) Epoch: [89][11090/11272] Time 0.739 (0.790) Data 0.002 (0.002) Loss 1.4961 (1.5988) Prec@1 56.875 (56.863) Prec@5 84.375 (85.080) Epoch: [89][11100/11272] Time 0.838 (0.790) Data 0.002 (0.002) Loss 1.6291 (1.5988) Prec@1 56.250 (56.863) Prec@5 86.250 (85.080) Epoch: [89][11110/11272] Time 0.830 (0.790) Data 0.001 (0.002) Loss 1.6662 (1.5988) Prec@1 55.000 (56.862) Prec@5 82.500 (85.080) Epoch: [89][11120/11272] Time 0.718 (0.790) Data 0.001 (0.002) Loss 1.4726 (1.5988) Prec@1 60.000 (56.861) Prec@5 86.875 (85.081) Epoch: [89][11130/11272] Time 0.719 (0.790) Data 0.002 (0.002) Loss 1.7121 (1.5988) Prec@1 55.000 (56.859) Prec@5 87.500 (85.081) Epoch: [89][11140/11272] Time 0.810 (0.790) Data 0.001 (0.002) Loss 1.5781 (1.5988) Prec@1 58.750 (56.860) Prec@5 86.250 (85.082) Epoch: [89][11150/11272] Time 0.859 (0.790) Data 0.004 (0.002) Loss 1.7669 (1.5989) Prec@1 55.000 (56.858) Prec@5 84.375 (85.081) Epoch: [89][11160/11272] Time 0.727 (0.790) Data 0.002 (0.002) Loss 1.6843 (1.5989) Prec@1 53.750 (56.856) Prec@5 81.875 (85.080) Epoch: [89][11170/11272] Time 0.698 (0.790) Data 0.001 (0.002) Loss 1.4196 (1.5990) Prec@1 61.250 (56.855) Prec@5 88.125 (85.079) Epoch: [89][11180/11272] Time 0.814 (0.790) Data 0.001 (0.002) Loss 1.5898 (1.5990) Prec@1 55.000 (56.855) Prec@5 85.000 (85.079) Epoch: [89][11190/11272] Time 0.720 (0.790) Data 0.003 (0.002) Loss 1.7521 (1.5990) Prec@1 58.125 (56.854) Prec@5 83.750 (85.079) Epoch: [89][11200/11272] Time 0.713 (0.790) Data 0.001 (0.002) Loss 1.6490 (1.5990) Prec@1 51.875 (56.853) Prec@5 85.625 (85.079) Epoch: [89][11210/11272] Time 0.874 (0.790) Data 0.001 (0.002) Loss 1.2907 (1.5990) Prec@1 64.375 (56.853) Prec@5 90.625 (85.079) Epoch: [89][11220/11272] Time 0.878 (0.790) Data 0.002 (0.002) Loss 1.5380 (1.5990) Prec@1 56.875 (56.853) Prec@5 86.875 (85.080) Epoch: [89][11230/11272] Time 0.705 (0.790) Data 0.001 (0.002) Loss 1.6730 (1.5990) Prec@1 56.875 (56.852) Prec@5 81.250 (85.078) Epoch: [89][11240/11272] Time 0.774 (0.790) Data 0.002 (0.002) Loss 1.6179 (1.5990) Prec@1 55.625 (56.854) Prec@5 79.375 (85.078) Epoch: [89][11250/11272] Time 0.862 (0.790) Data 0.002 (0.002) Loss 1.7853 (1.5990) Prec@1 51.875 (56.853) Prec@5 82.500 (85.078) Epoch: [89][11260/11272] Time 0.841 (0.790) Data 0.001 (0.002) Loss 1.5294 (1.5990) Prec@1 60.000 (56.852) Prec@5 82.500 (85.078) Epoch: [89][11270/11272] Time 0.759 (0.790) Data 0.000 (0.002) Loss 1.7073 (1.5990) Prec@1 55.000 (56.852) Prec@5 83.750 (85.079) Test: [0/229] Time 3.692 (3.692) Loss 1.1142 (1.1142) Prec@1 65.000 (65.000) Prec@5 94.375 (94.375) Test: [10/229] Time 0.382 (0.932) Loss 1.0243 (1.5974) Prec@1 71.250 (56.875) Prec@5 95.000 (86.818) Test: [20/229] Time 1.650 (0.847) Loss 2.2193 (1.6950) Prec@1 43.125 (53.393) Prec@5 76.875 (85.714) Test: [30/229] Time 0.379 (0.780) Loss 1.9280 (1.6375) Prec@1 45.625 (55.585) Prec@5 86.875 (86.310) Test: [40/229] Time 1.628 (0.766) Loss 0.3963 (1.6322) Prec@1 92.500 (55.899) Prec@5 95.625 (86.387) Test: [50/229] Time 0.313 (0.738) Loss 2.6673 (1.6960) Prec@1 30.625 (54.718) Prec@5 72.500 (85.208) Test: [60/229] Time 1.610 (0.740) Loss 2.0300 (1.6876) Prec@1 46.250 (55.010) Prec@5 83.750 (85.400) Test: [70/229] Time 0.285 (0.723) Loss 1.3168 (1.7002) Prec@1 70.000 (54.894) Prec@5 87.500 (85.326) Test: [80/229] Time 1.687 (0.728) Loss 2.2052 (1.7196) Prec@1 36.875 (54.128) Prec@5 83.750 (85.177) Test: [90/229] Time 0.343 (0.717) Loss 1.4401 (1.7248) Prec@1 65.000 (54.114) Prec@5 82.500 (85.240) Test: [100/229] Time 1.726 (0.720) Loss 2.3594 (1.7228) Prec@1 42.500 (54.313) Prec@5 77.500 (85.223) Test: [110/229] Time 0.415 (0.713) Loss 1.3691 (1.7007) Prec@1 59.375 (54.685) Prec@5 87.500 (85.445) Test: [120/229] Time 1.557 (0.715) Loss 2.8508 (1.7240) Prec@1 31.250 (54.168) Prec@5 75.000 (85.191) Test: [130/229] Time 0.446 (0.708) Loss 1.2300 (1.7074) Prec@1 63.125 (54.532) Prec@5 91.875 (85.372) Test: [140/229] Time 1.416 (0.709) Loss 1.8516 (1.7206) Prec@1 48.750 (54.140) Prec@5 82.500 (85.182) Test: [150/229] Time 0.577 (0.704) Loss 1.1318 (1.7322) Prec@1 74.375 (53.845) Prec@5 88.750 (85.075) Test: [160/229] Time 1.132 (0.703) Loss 1.8360 (1.7333) Prec@1 56.250 (53.758) Prec@5 81.875 (85.047) Test: [170/229] Time 0.699 (0.701) Loss 1.7155 (1.7451) Prec@1 53.125 (53.472) Prec@5 85.000 (84.901) Test: [180/229] Time 0.629 (0.698) Loss 2.3712 (1.7497) Prec@1 35.000 (53.515) Prec@5 73.750 (84.703) Test: [190/229] Time 0.307 (0.699) Loss 1.2718 (1.7399) Prec@1 60.000 (53.776) Prec@5 93.750 (84.810) Test: [200/229] Time 0.412 (0.695) Loss 1.6997 (1.7324) Prec@1 48.125 (53.825) Prec@5 84.375 (84.975) Test: [210/229] Time 0.356 (0.695) Loss 1.0535 (1.7229) Prec@1 70.000 (54.132) Prec@5 93.750 (85.101) Test: [220/229] Time 0.390 (0.695) Loss 1.6004 (1.7147) Prec@1 55.625 (54.420) Prec@5 86.875 (85.156) * Prec@1 54.800 Prec@5 85.234